diff --git a/ablation/ablation_segformer_mit_b2_segformer_head_unet_fc_single_step_ade_pretrained_freeze_embed_80k_ade20k151_logits/20230304_173902.log b/ablation/ablation_segformer_mit_b2_segformer_head_unet_fc_single_step_ade_pretrained_freeze_embed_80k_ade20k151_logits/20230304_173902.log new file mode 100644 index 0000000000000000000000000000000000000000..bb6bc1ea9875226b564fc2c6f48080745de7b384 --- /dev/null +++ b/ablation/ablation_segformer_mit_b2_segformer_head_unet_fc_single_step_ade_pretrained_freeze_embed_80k_ade20k151_logits/20230304_173902.log @@ -0,0 +1,1143 @@ +2023-03-04 17:39:02,644 - mmseg - INFO - Multi-processing start method is `None` +2023-03-04 17:39:02,657 - mmseg - INFO - OpenCV num_threads is `128 +2023-03-04 17:39:02,657 - mmseg - INFO - OMP num threads is 1 +2023-03-04 17:39:02,719 - mmseg - INFO - Environment info: +------------------------------------------------------------ +sys.platform: linux +Python: 3.7.16 (default, Jan 17 2023, 22:20:44) [GCC 11.2.0] +CUDA available: True +GPU 0,1,2,3,4,5,6,7: NVIDIA A100-SXM4-80GB +CUDA_HOME: /mnt/petrelfs/laizeqiang/miniconda3/envs/torch +NVCC: Cuda compilation tools, release 11.6, V11.6.124 +GCC: gcc (GCC) 4.8.5 20150623 (Red Hat 4.8.5-44) +PyTorch: 1.13.1 +PyTorch compiling details: PyTorch built with: + - GCC 9.3 + - C++ Version: 201402 + - Intel(R) oneAPI Math Kernel Library Version 2021.4-Product Build 20210904 for Intel(R) 64 architecture applications + - Intel(R) MKL-DNN v2.6.0 (Git Hash 52b5f107dd9cf10910aaa19cb47f3abf9b349815) + - OpenMP 201511 (a.k.a. OpenMP 4.5) + - LAPACK is enabled (usually provided by MKL) + - NNPACK is enabled + - CPU capability usage: AVX2 + - CUDA Runtime 11.6 + - NVCC architecture flags: -gencode;arch=compute_37,code=sm_37;-gencode;arch=compute_50,code=sm_50;-gencode;arch=compute_60,code=sm_60;-gencode;arch=compute_61,code=sm_61;-gencode;arch=compute_70,code=sm_70;-gencode;arch=compute_75,code=sm_75;-gencode;arch=compute_80,code=sm_80;-gencode;arch=compute_86,code=sm_86;-gencode;arch=compute_37,code=compute_37 + - CuDNN 8.3.2 (built against CUDA 11.5) + - Magma 2.6.1 + - Build settings: BLAS_INFO=mkl, BUILD_TYPE=Release, CUDA_VERSION=11.6, CUDNN_VERSION=8.3.2, CXX_COMPILER=/opt/rh/devtoolset-9/root/usr/bin/c++, CXX_FLAGS= -fabi-version=11 -Wno-deprecated -fvisibility-inlines-hidden -DUSE_PTHREADPOOL -fopenmp -DNDEBUG -DUSE_KINETO -DUSE_FBGEMM -DUSE_QNNPACK -DUSE_PYTORCH_QNNPACK -DUSE_XNNPACK -DSYMBOLICATE_MOBILE_DEBUG_HANDLE -DEDGE_PROFILER_USE_KINETO -O2 -fPIC -Wno-narrowing -Wall -Wextra -Werror=return-type -Werror=non-virtual-dtor -Wno-missing-field-initializers -Wno-type-limits -Wno-array-bounds -Wno-unknown-pragmas -Wunused-local-typedefs -Wno-unused-parameter -Wno-unused-function -Wno-unused-result -Wno-strict-overflow -Wno-strict-aliasing -Wno-error=deprecated-declarations -Wno-stringop-overflow -Wno-psabi -Wno-error=pedantic -Wno-error=redundant-decls -Wno-error=old-style-cast -fdiagnostics-color=always -faligned-new -Wno-unused-but-set-variable -Wno-maybe-uninitialized -fno-math-errno -fno-trapping-math -Werror=format -Werror=cast-function-type -Wno-stringop-overflow, LAPACK_INFO=mkl, PERF_WITH_AVX=1, PERF_WITH_AVX2=1, PERF_WITH_AVX512=1, TORCH_VERSION=1.13.1, USE_CUDA=ON, USE_CUDNN=ON, USE_EXCEPTION_PTR=1, USE_GFLAGS=OFF, USE_GLOG=OFF, USE_MKL=ON, USE_MKLDNN=ON, USE_MPI=OFF, USE_NCCL=ON, USE_NNPACK=ON, USE_OPENMP=ON, USE_ROCM=OFF, + +TorchVision: 0.14.1 +OpenCV: 4.7.0 +MMCV: 1.7.1 +MMCV Compiler: GCC 9.3 +MMCV CUDA Compiler: 11.6 +MMSegmentation: 0.30.0+6749699 +------------------------------------------------------------ + +2023-03-04 17:39:02,719 - mmseg - INFO - Distributed training: True +2023-03-04 17:39:03,384 - mmseg - INFO - Config: +norm_cfg = dict(type='SyncBN', requires_grad=True) +checkpoint = 'pretrained/segformer_mit-b2_512x512_160k_ade20k_20220620_114047-64e4feca.pth' +model = dict( + type='EncoderDecoderFreeze', + freeze_parameters=['backbone', 'decode_head'], + pretrained= + 'pretrained/segformer_mit-b2_512x512_160k_ade20k_20220620_114047-64e4feca.pth', + backbone=dict( + type='MixVisionTransformerCustomInitWeights', + in_channels=3, + embed_dims=64, + num_stages=4, + num_layers=[3, 4, 6, 3], + num_heads=[1, 2, 5, 8], + patch_sizes=[7, 3, 3, 3], + sr_ratios=[8, 4, 2, 1], + out_indices=(0, 1, 2, 3), + mlp_ratio=4, + qkv_bias=True, + drop_rate=0.0, + attn_drop_rate=0.0, + drop_path_rate=0.1), + decode_head=dict( + type='SegformerHeadUnetFCHeadSingleStepLogits', + pretrained= + 'pretrained/segformer_mit-b2_512x512_160k_ade20k_20220620_114047-64e4feca.pth', + dim=128, + out_dim=256, + unet_channels=166, + dim_mults=[1, 1, 1], + cat_embedding_dim=16, + in_channels=[64, 128, 320, 512], + in_index=[0, 1, 2, 3], + channels=256, + dropout_ratio=0.1, + num_classes=151, + norm_cfg=dict(type='SyncBN', requires_grad=True), + align_corners=False, + ignore_index=0, + loss_decode=dict( + type='CrossEntropyLoss', use_sigmoid=False, loss_weight=1.0)), + train_cfg=dict(), + test_cfg=dict(mode='whole')) +dataset_type = 'ADE20K151Dataset' +data_root = 'data/ade/ADEChallengeData2016' +img_norm_cfg = dict( + mean=[123.675, 116.28, 103.53], std=[58.395, 57.12, 57.375], to_rgb=True) +crop_size = (512, 512) +train_pipeline = [ + dict(type='LoadImageFromFile'), + dict(type='LoadAnnotations', reduce_zero_label=False), + dict(type='Resize', img_scale=(2048, 512), ratio_range=(0.5, 2.0)), + dict(type='RandomCrop', crop_size=(512, 512), cat_max_ratio=0.75), + dict(type='RandomFlip', prob=0.5), + dict(type='PhotoMetricDistortion'), + dict( + type='Normalize', + mean=[123.675, 116.28, 103.53], + std=[58.395, 57.12, 57.375], + to_rgb=True), + dict(type='Pad', size=(512, 512), pad_val=0, seg_pad_val=0), + dict(type='DefaultFormatBundle'), + dict(type='Collect', keys=['img', 'gt_semantic_seg']) +] +test_pipeline = [ + dict(type='LoadImageFromFile'), + dict( + type='MultiScaleFlipAug', + img_scale=(2048, 512), + flip=False, + transforms=[ + dict(type='Resize', keep_ratio=True), + dict(type='RandomFlip'), + dict( + type='Normalize', + mean=[123.675, 116.28, 103.53], + std=[58.395, 57.12, 57.375], + to_rgb=True), + dict(type='Pad', size_divisor=16, pad_val=0, seg_pad_val=0), + dict(type='ImageToTensor', keys=['img']), + dict(type='Collect', keys=['img']) + ]) +] +data = dict( + samples_per_gpu=4, + workers_per_gpu=4, + train=dict( + type='ADE20K151Dataset', + data_root='data/ade/ADEChallengeData2016', + img_dir='images/training', + ann_dir='annotations/training', + pipeline=[ + dict(type='LoadImageFromFile'), + dict(type='LoadAnnotations', reduce_zero_label=False), + dict(type='Resize', img_scale=(2048, 512), ratio_range=(0.5, 2.0)), + dict(type='RandomCrop', crop_size=(512, 512), cat_max_ratio=0.75), + dict(type='RandomFlip', prob=0.5), + dict(type='PhotoMetricDistortion'), + dict( + type='Normalize', + mean=[123.675, 116.28, 103.53], + std=[58.395, 57.12, 57.375], + to_rgb=True), + dict(type='Pad', size=(512, 512), pad_val=0, seg_pad_val=0), + dict(type='DefaultFormatBundle'), + dict(type='Collect', keys=['img', 'gt_semantic_seg']) + ]), + val=dict( + type='ADE20K151Dataset', + data_root='data/ade/ADEChallengeData2016', + img_dir='images/validation', + ann_dir='annotations/validation', + pipeline=[ + dict(type='LoadImageFromFile'), + dict( + type='MultiScaleFlipAug', + img_scale=(2048, 512), + flip=False, + transforms=[ + dict(type='Resize', keep_ratio=True), + dict(type='RandomFlip'), + dict( + type='Normalize', + mean=[123.675, 116.28, 103.53], + std=[58.395, 57.12, 57.375], + to_rgb=True), + dict( + type='Pad', size_divisor=16, pad_val=0, seg_pad_val=0), + dict(type='ImageToTensor', keys=['img']), + dict(type='Collect', keys=['img']) + ]) + ]), + test=dict( + type='ADE20K151Dataset', + data_root='data/ade/ADEChallengeData2016', + img_dir='images/validation', + ann_dir='annotations/validation', + pipeline=[ + dict(type='LoadImageFromFile'), + dict( + type='MultiScaleFlipAug', + img_scale=(2048, 512), + flip=False, + transforms=[ + dict(type='Resize', keep_ratio=True), + dict(type='RandomFlip'), + dict( + type='Normalize', + mean=[123.675, 116.28, 103.53], + std=[58.395, 57.12, 57.375], + to_rgb=True), + dict( + type='Pad', size_divisor=16, pad_val=0, seg_pad_val=0), + dict(type='ImageToTensor', keys=['img']), + dict(type='Collect', keys=['img']) + ]) + ])) +log_config = dict( + interval=50, hooks=[dict(type='TextLoggerHook', by_epoch=False)]) +dist_params = dict(backend='nccl') +log_level = 'INFO' +load_from = None +resume_from = None +workflow = [('train', 1)] +cudnn_benchmark = True +optimizer = dict( + type='AdamW', lr=0.00015, betas=[0.9, 0.96], weight_decay=0.045) +optimizer_config = dict() +lr_config = dict( + policy='step', + warmup='linear', + warmup_iters=1000, + warmup_ratio=1e-06, + step=10000, + gamma=0.5, + min_lr=1e-06, + by_epoch=False) +runner = dict(type='IterBasedRunner', max_iters=80000) +checkpoint_config = dict(by_epoch=False, interval=8000) +evaluation = dict( + interval=8000, metric='mIoU', pre_eval=True, save_best='mIoU') +work_dir = './work_dirs2/ablation_segformer_mit_b2_segformer_head_unet_fc_single_step_ade_pretrained_freeze_embed_80k_ade20k151_logits' +gpu_ids = range(0, 8) +auto_resume = True + +2023-03-04 17:39:07,974 - mmseg - INFO - Set random seed to 984079870, deterministic: False +2023-03-04 17:39:08,230 - mmseg - INFO - Parameters in backbone freezed! +2023-03-04 17:39:08,230 - mmseg - INFO - Trainable parameters in SegformerHeadUnetFCHeadSingleStep: ['unet.init_conv.weight', 'unet.init_conv.bias', 'unet.time_mlp.1.weight', 'unet.time_mlp.1.bias', 'unet.time_mlp.3.weight', 'unet.time_mlp.3.bias', 'unet.downs.0.0.mlp.1.weight', 'unet.downs.0.0.mlp.1.bias', 'unet.downs.0.0.block1.proj.weight', 'unet.downs.0.0.block1.proj.bias', 'unet.downs.0.0.block1.norm.weight', 'unet.downs.0.0.block1.norm.bias', 'unet.downs.0.0.block2.proj.weight', 'unet.downs.0.0.block2.proj.bias', 'unet.downs.0.0.block2.norm.weight', 'unet.downs.0.0.block2.norm.bias', 'unet.downs.0.1.mlp.1.weight', 'unet.downs.0.1.mlp.1.bias', 'unet.downs.0.1.block1.proj.weight', 'unet.downs.0.1.block1.proj.bias', 'unet.downs.0.1.block1.norm.weight', 'unet.downs.0.1.block1.norm.bias', 'unet.downs.0.1.block2.proj.weight', 'unet.downs.0.1.block2.proj.bias', 'unet.downs.0.1.block2.norm.weight', 'unet.downs.0.1.block2.norm.bias', 'unet.downs.0.2.fn.fn.to_qkv.weight', 'unet.downs.0.2.fn.fn.to_out.0.weight', 'unet.downs.0.2.fn.fn.to_out.0.bias', 'unet.downs.0.2.fn.fn.to_out.1.g', 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'unet.mid_block1.block1.proj.weight', 'unet.mid_block1.block1.proj.bias', 'unet.mid_block1.block1.norm.weight', 'unet.mid_block1.block1.norm.bias', 'unet.mid_block1.block2.proj.weight', 'unet.mid_block1.block2.proj.bias', 'unet.mid_block1.block2.norm.weight', 'unet.mid_block1.block2.norm.bias', 'unet.mid_attn.fn.fn.to_qkv.weight', 'unet.mid_attn.fn.fn.to_out.weight', 'unet.mid_attn.fn.fn.to_out.bias', 'unet.mid_attn.fn.norm.g', 'unet.mid_block2.mlp.1.weight', 'unet.mid_block2.mlp.1.bias', 'unet.mid_block2.block1.proj.weight', 'unet.mid_block2.block1.proj.bias', 'unet.mid_block2.block1.norm.weight', 'unet.mid_block2.block1.norm.bias', 'unet.mid_block2.block2.proj.weight', 'unet.mid_block2.block2.proj.bias', 'unet.mid_block2.block2.norm.weight', 'unet.mid_block2.block2.norm.bias', 'unet.final_res_block.mlp.1.weight', 'unet.final_res_block.mlp.1.bias', 'unet.final_res_block.block1.proj.weight', 'unet.final_res_block.block1.proj.bias', 'unet.final_res_block.block1.norm.weight', 'unet.final_res_block.block1.norm.bias', 'unet.final_res_block.block2.proj.weight', 'unet.final_res_block.block2.proj.bias', 'unet.final_res_block.block2.norm.weight', 'unet.final_res_block.block2.norm.bias', 'unet.final_res_block.res_conv.weight', 'unet.final_res_block.res_conv.bias', 'unet.final_conv.weight', 'unet.final_conv.bias', 'conv_seg_new.weight', 'conv_seg_new.bias'] +2023-03-04 17:39:08,231 - mmseg - INFO - Parameters in decode_head freezed! +2023-03-04 17:39:08,250 - mmseg - INFO - load checkpoint from local path: pretrained/segformer_mit-b2_512x512_160k_ade20k_20220620_114047-64e4feca.pth +2023-03-04 17:39:08,491 - mmseg - WARNING - The model and loaded state dict do not match exactly + +unexpected key in source state_dict: decode_head.conv_seg.weight, decode_head.conv_seg.bias, decode_head.convs.0.conv.weight, decode_head.convs.0.bn.weight, decode_head.convs.0.bn.bias, decode_head.convs.0.bn.running_mean, decode_head.convs.0.bn.running_var, decode_head.convs.0.bn.num_batches_tracked, decode_head.convs.1.conv.weight, decode_head.convs.1.bn.weight, decode_head.convs.1.bn.bias, decode_head.convs.1.bn.running_mean, decode_head.convs.1.bn.running_var, decode_head.convs.1.bn.num_batches_tracked, decode_head.convs.2.conv.weight, decode_head.convs.2.bn.weight, decode_head.convs.2.bn.bias, decode_head.convs.2.bn.running_mean, decode_head.convs.2.bn.running_var, decode_head.convs.2.bn.num_batches_tracked, decode_head.convs.3.conv.weight, decode_head.convs.3.bn.weight, decode_head.convs.3.bn.bias, decode_head.convs.3.bn.running_mean, decode_head.convs.3.bn.running_var, decode_head.convs.3.bn.num_batches_tracked, decode_head.fusion_conv.conv.weight, decode_head.fusion_conv.bn.weight, decode_head.fusion_conv.bn.bias, decode_head.fusion_conv.bn.running_mean, decode_head.fusion_conv.bn.running_var, decode_head.fusion_conv.bn.num_batches_tracked + +2023-03-04 17:39:08,504 - mmseg - INFO - load checkpoint from local path: pretrained/segformer_mit-b2_512x512_160k_ade20k_20220620_114047-64e4feca.pth +2023-03-04 17:39:08,721 - mmseg - WARNING - The model and loaded state dict do not match exactly + +unexpected key in source state_dict: backbone.layers.0.0.projection.weight, backbone.layers.0.0.projection.bias, backbone.layers.0.0.norm.weight, backbone.layers.0.0.norm.bias, backbone.layers.0.1.0.norm1.weight, backbone.layers.0.1.0.norm1.bias, backbone.layers.0.1.0.attn.attn.in_proj_weight, backbone.layers.0.1.0.attn.attn.in_proj_bias, backbone.layers.0.1.0.attn.attn.out_proj.weight, backbone.layers.0.1.0.attn.attn.out_proj.bias, backbone.layers.0.1.0.attn.sr.weight, backbone.layers.0.1.0.attn.sr.bias, backbone.layers.0.1.0.attn.norm.weight, backbone.layers.0.1.0.attn.norm.bias, backbone.layers.0.1.0.norm2.weight, backbone.layers.0.1.0.norm2.bias, backbone.layers.0.1.0.ffn.layers.0.weight, backbone.layers.0.1.0.ffn.layers.0.bias, backbone.layers.0.1.0.ffn.layers.1.weight, 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(4): Conv2d(1280, 320, kernel_size=(1, 1), stride=(1, 1)) + (5): Dropout(p=0.0, inplace=False) + ) + (dropout_layer): DropPath() + ) + ) + (5): TransformerEncoderLayer( + (norm1): LayerNorm((320,), eps=1e-06, elementwise_affine=True) + (attn): EfficientMultiheadAttention( + (attn): MultiheadAttention( + (out_proj): NonDynamicallyQuantizableLinear(in_features=320, out_features=320, bias=True) + ) + (proj_drop): Dropout(p=0.0, inplace=False) + (dropout_layer): DropPath() + (sr): Conv2d(320, 320, kernel_size=(2, 2), stride=(2, 2)) + (norm): LayerNorm((320,), eps=1e-06, elementwise_affine=True) + ) + (norm2): LayerNorm((320,), eps=1e-06, elementwise_affine=True) + (ffn): MixFFN( + (activate): GELU(approximate='none') + (layers): Sequential( + (0): Conv2d(320, 1280, kernel_size=(1, 1), stride=(1, 1)) + (1): Conv2d(1280, 1280, kernel_size=(3, 3), stride=(1, 1), padding=(1, 1), groups=1280) + (2): GELU(approximate='none') + (3): Dropout(p=0.0, inplace=False) + (4): Conv2d(1280, 320, kernel_size=(1, 1), stride=(1, 1)) + (5): Dropout(p=0.0, inplace=False) + ) + (dropout_layer): DropPath() + ) + ) + ) + (2): LayerNorm((320,), eps=1e-06, elementwise_affine=True) + ) + (3): ModuleList( + (0): PatchEmbed( + (projection): Conv2d(320, 512, kernel_size=(3, 3), stride=(2, 2), padding=(1, 1)) + (norm): LayerNorm((512,), eps=1e-06, elementwise_affine=True) + ) + (1): ModuleList( + (0): TransformerEncoderLayer( + (norm1): LayerNorm((512,), eps=1e-06, elementwise_affine=True) + (attn): EfficientMultiheadAttention( + (attn): MultiheadAttention( + (out_proj): NonDynamicallyQuantizableLinear(in_features=512, out_features=512, bias=True) + ) + (proj_drop): Dropout(p=0.0, inplace=False) + (dropout_layer): DropPath() + ) + (norm2): LayerNorm((512,), eps=1e-06, elementwise_affine=True) + (ffn): MixFFN( + (activate): GELU(approximate='none') + (layers): Sequential( + (0): Conv2d(512, 2048, kernel_size=(1, 1), stride=(1, 1)) + (1): Conv2d(2048, 2048, kernel_size=(3, 3), stride=(1, 1), padding=(1, 1), groups=2048) + (2): GELU(approximate='none') + (3): Dropout(p=0.0, inplace=False) + (4): Conv2d(2048, 512, kernel_size=(1, 1), stride=(1, 1)) + (5): Dropout(p=0.0, inplace=False) + ) + (dropout_layer): DropPath() + ) + ) + (1): TransformerEncoderLayer( + (norm1): LayerNorm((512,), eps=1e-06, elementwise_affine=True) + (attn): EfficientMultiheadAttention( + (attn): MultiheadAttention( + (out_proj): NonDynamicallyQuantizableLinear(in_features=512, out_features=512, bias=True) + ) + (proj_drop): Dropout(p=0.0, inplace=False) + (dropout_layer): DropPath() + ) + (norm2): LayerNorm((512,), eps=1e-06, elementwise_affine=True) + (ffn): MixFFN( + (activate): GELU(approximate='none') + (layers): Sequential( + (0): Conv2d(512, 2048, kernel_size=(1, 1), stride=(1, 1)) + (1): Conv2d(2048, 2048, kernel_size=(3, 3), stride=(1, 1), padding=(1, 1), groups=2048) + (2): GELU(approximate='none') + (3): Dropout(p=0.0, inplace=False) + (4): Conv2d(2048, 512, kernel_size=(1, 1), stride=(1, 1)) + (5): Dropout(p=0.0, inplace=False) + ) + (dropout_layer): DropPath() + ) + ) + (2): TransformerEncoderLayer( + (norm1): LayerNorm((512,), eps=1e-06, elementwise_affine=True) + (attn): EfficientMultiheadAttention( + (attn): MultiheadAttention( + (out_proj): NonDynamicallyQuantizableLinear(in_features=512, out_features=512, bias=True) + ) + (proj_drop): Dropout(p=0.0, inplace=False) + (dropout_layer): DropPath() + ) + (norm2): LayerNorm((512,), eps=1e-06, elementwise_affine=True) + (ffn): MixFFN( + (activate): GELU(approximate='none') + (layers): Sequential( + (0): Conv2d(512, 2048, kernel_size=(1, 1), stride=(1, 1)) + (1): Conv2d(2048, 2048, kernel_size=(3, 3), stride=(1, 1), padding=(1, 1), groups=2048) + (2): GELU(approximate='none') + (3): Dropout(p=0.0, inplace=False) + (4): Conv2d(2048, 512, kernel_size=(1, 1), stride=(1, 1)) + (5): Dropout(p=0.0, inplace=False) + ) + (dropout_layer): DropPath() + ) + ) + ) + (2): LayerNorm((512,), eps=1e-06, elementwise_affine=True) + ) + ) + ) + init_cfg={'type': 'Pretrained', 'checkpoint': 'pretrained/segformer_mit-b2_512x512_160k_ade20k_20220620_114047-64e4feca.pth'} + (decode_head): SegformerHeadUnetFCHeadSingleStepLogits( + input_transform=multiple_select, ignore_index=0, align_corners=False + (loss_decode): CrossEntropyLoss(avg_non_ignore=False) + (conv_seg): Conv2d(256, 150, kernel_size=(1, 1), stride=(1, 1)) + (dropout): Dropout2d(p=0.1, inplace=False) + (convs): ModuleList( + (0): ConvModule( + (conv): Conv2d(64, 256, kernel_size=(1, 1), stride=(1, 1), bias=False) + (bn): SyncBatchNorm(256, eps=1e-05, momentum=0.1, affine=True, track_running_stats=True) + (activate): ReLU(inplace=True) + ) + (1): ConvModule( + (conv): Conv2d(128, 256, kernel_size=(1, 1), stride=(1, 1), bias=False) + (bn): SyncBatchNorm(256, eps=1e-05, momentum=0.1, affine=True, track_running_stats=True) + (activate): ReLU(inplace=True) + ) + (2): ConvModule( + (conv): Conv2d(320, 256, kernel_size=(1, 1), stride=(1, 1), bias=False) + (bn): SyncBatchNorm(256, eps=1e-05, momentum=0.1, affine=True, track_running_stats=True) + (activate): ReLU(inplace=True) + ) + (3): ConvModule( + (conv): Conv2d(512, 256, kernel_size=(1, 1), stride=(1, 1), bias=False) + (bn): SyncBatchNorm(256, eps=1e-05, momentum=0.1, affine=True, track_running_stats=True) + (activate): ReLU(inplace=True) + ) + ) + (fusion_conv): ConvModule( + (conv): Conv2d(1024, 256, kernel_size=(1, 1), stride=(1, 1), bias=False) + (bn): SyncBatchNorm(256, eps=1e-05, momentum=0.1, affine=True, track_running_stats=True) + (activate): ReLU(inplace=True) + ) + (unet): Unet( + (init_conv): Conv2d(166, 128, kernel_size=(7, 7), stride=(1, 1), padding=(3, 3)) + (time_mlp): Sequential( + (0): SinusoidalPosEmb() + (1): Linear(in_features=128, out_features=512, bias=True) + (2): GELU(approximate='none') + (3): Linear(in_features=512, out_features=512, bias=True) + ) + (downs): ModuleList( + (0): ModuleList( + (0): ResnetBlock( + (mlp): Sequential( + (0): SiLU() + (1): Linear(in_features=512, out_features=256, bias=True) + ) + (block1): Block( + (proj): WeightStandardizedConv2d(128, 128, kernel_size=(3, 3), stride=(1, 1), padding=(1, 1)) + (norm): GroupNorm(8, 128, eps=1e-05, affine=True) + (act): SiLU() + ) + (block2): Block( + (proj): WeightStandardizedConv2d(128, 128, kernel_size=(3, 3), stride=(1, 1), padding=(1, 1)) + (norm): GroupNorm(8, 128, eps=1e-05, affine=True) + (act): SiLU() + ) + (res_conv): Identity() + ) + (1): ResnetBlock( + (mlp): Sequential( + (0): SiLU() + (1): Linear(in_features=512, out_features=256, bias=True) + ) + (block1): Block( + (proj): WeightStandardizedConv2d(128, 128, kernel_size=(3, 3), stride=(1, 1), padding=(1, 1)) + (norm): GroupNorm(8, 128, eps=1e-05, affine=True) + (act): SiLU() + ) + (block2): Block( + (proj): WeightStandardizedConv2d(128, 128, kernel_size=(3, 3), stride=(1, 1), padding=(1, 1)) + (norm): GroupNorm(8, 128, eps=1e-05, affine=True) + (act): SiLU() + ) + (res_conv): Identity() + ) + (2): Residual( + (fn): PreNorm( + (fn): LinearAttention( + (to_qkv): Conv2d(128, 384, kernel_size=(1, 1), stride=(1, 1), bias=False) + (to_out): Sequential( + (0): Conv2d(128, 128, kernel_size=(1, 1), stride=(1, 1)) + (1): LayerNorm() + ) + ) + (norm): LayerNorm() + ) + ) + (3): Conv2d(128, 128, kernel_size=(4, 4), stride=(2, 2), padding=(1, 1)) + ) + (1): ModuleList( + (0): ResnetBlock( + (mlp): Sequential( + (0): SiLU() + (1): Linear(in_features=512, out_features=256, bias=True) + ) + (block1): Block( + (proj): WeightStandardizedConv2d(128, 128, kernel_size=(3, 3), stride=(1, 1), padding=(1, 1)) + (norm): GroupNorm(8, 128, eps=1e-05, affine=True) + (act): SiLU() + ) + (block2): Block( + (proj): WeightStandardizedConv2d(128, 128, kernel_size=(3, 3), stride=(1, 1), padding=(1, 1)) + (norm): GroupNorm(8, 128, eps=1e-05, affine=True) + (act): SiLU() + ) + (res_conv): Identity() + ) + (1): ResnetBlock( + (mlp): Sequential( + (0): SiLU() + (1): Linear(in_features=512, out_features=256, bias=True) + ) + (block1): Block( + (proj): WeightStandardizedConv2d(128, 128, kernel_size=(3, 3), stride=(1, 1), padding=(1, 1)) + (norm): GroupNorm(8, 128, eps=1e-05, affine=True) + (act): SiLU() + ) + (block2): Block( + (proj): WeightStandardizedConv2d(128, 128, kernel_size=(3, 3), stride=(1, 1), padding=(1, 1)) + (norm): GroupNorm(8, 128, eps=1e-05, affine=True) + (act): SiLU() + ) + (res_conv): Identity() + ) + (2): Residual( + (fn): PreNorm( + (fn): LinearAttention( + (to_qkv): Conv2d(128, 384, kernel_size=(1, 1), stride=(1, 1), bias=False) + (to_out): Sequential( + (0): Conv2d(128, 128, kernel_size=(1, 1), stride=(1, 1)) + (1): LayerNorm() + ) + ) + (norm): LayerNorm() + ) + ) + (3): Conv2d(128, 128, kernel_size=(4, 4), stride=(2, 2), padding=(1, 1)) + ) + (2): ModuleList( + (0): ResnetBlock( + (mlp): Sequential( + (0): SiLU() + (1): Linear(in_features=512, out_features=256, bias=True) + ) + (block1): Block( + (proj): WeightStandardizedConv2d(128, 128, kernel_size=(3, 3), stride=(1, 1), padding=(1, 1)) + (norm): GroupNorm(8, 128, eps=1e-05, affine=True) + (act): SiLU() + ) + (block2): Block( + (proj): WeightStandardizedConv2d(128, 128, kernel_size=(3, 3), stride=(1, 1), padding=(1, 1)) + (norm): GroupNorm(8, 128, eps=1e-05, affine=True) + (act): SiLU() + ) + (res_conv): Identity() + ) + (1): ResnetBlock( + (mlp): Sequential( + (0): SiLU() + (1): Linear(in_features=512, out_features=256, bias=True) + ) + (block1): Block( + (proj): WeightStandardizedConv2d(128, 128, kernel_size=(3, 3), stride=(1, 1), padding=(1, 1)) + (norm): GroupNorm(8, 128, eps=1e-05, affine=True) + (act): SiLU() + ) + (block2): Block( + (proj): WeightStandardizedConv2d(128, 128, kernel_size=(3, 3), stride=(1, 1), padding=(1, 1)) + (norm): GroupNorm(8, 128, eps=1e-05, affine=True) + (act): SiLU() + ) + (res_conv): Identity() + ) + (2): Residual( + (fn): PreNorm( + (fn): LinearAttention( + (to_qkv): Conv2d(128, 384, kernel_size=(1, 1), stride=(1, 1), bias=False) + (to_out): Sequential( + (0): Conv2d(128, 128, kernel_size=(1, 1), stride=(1, 1)) + (1): LayerNorm() + ) + ) + (norm): LayerNorm() + ) + ) + (3): Conv2d(128, 128, kernel_size=(3, 3), stride=(1, 1), padding=(1, 1)) + ) + ) + (ups): ModuleList( + (0): ModuleList( + (0): ResnetBlock( + (mlp): Sequential( + (0): SiLU() + (1): Linear(in_features=512, out_features=256, bias=True) + ) + (block1): Block( + (proj): WeightStandardizedConv2d(256, 128, kernel_size=(3, 3), stride=(1, 1), padding=(1, 1)) + (norm): GroupNorm(8, 128, eps=1e-05, affine=True) + (act): SiLU() + ) + (block2): Block( + (proj): WeightStandardizedConv2d(128, 128, kernel_size=(3, 3), stride=(1, 1), padding=(1, 1)) + (norm): GroupNorm(8, 128, eps=1e-05, affine=True) + (act): SiLU() + ) + (res_conv): Conv2d(256, 128, kernel_size=(1, 1), stride=(1, 1)) + ) + (1): ResnetBlock( + (mlp): Sequential( + (0): SiLU() + (1): Linear(in_features=512, out_features=256, bias=True) + ) + (block1): Block( + (proj): WeightStandardizedConv2d(256, 128, kernel_size=(3, 3), stride=(1, 1), padding=(1, 1)) + (norm): GroupNorm(8, 128, eps=1e-05, affine=True) + (act): SiLU() + ) + (block2): Block( + (proj): WeightStandardizedConv2d(128, 128, kernel_size=(3, 3), stride=(1, 1), padding=(1, 1)) + (norm): GroupNorm(8, 128, eps=1e-05, affine=True) + (act): SiLU() + ) + (res_conv): Conv2d(256, 128, kernel_size=(1, 1), stride=(1, 1)) + ) + (2): Residual( + (fn): PreNorm( + (fn): LinearAttention( + (to_qkv): Conv2d(128, 384, kernel_size=(1, 1), stride=(1, 1), bias=False) + (to_out): Sequential( + (0): Conv2d(128, 128, kernel_size=(1, 1), stride=(1, 1)) + (1): LayerNorm() + ) + ) + (norm): LayerNorm() + ) + ) + (3): Sequential( + (0): Upsample(scale_factor=2.0, mode=nearest) + (1): Conv2d(128, 128, kernel_size=(3, 3), stride=(1, 1), padding=(1, 1)) + ) + ) + (1): ModuleList( + (0): ResnetBlock( + (mlp): Sequential( + (0): SiLU() + (1): Linear(in_features=512, out_features=256, bias=True) + ) + (block1): Block( + (proj): WeightStandardizedConv2d(256, 128, kernel_size=(3, 3), stride=(1, 1), padding=(1, 1)) + (norm): GroupNorm(8, 128, eps=1e-05, affine=True) + (act): SiLU() + ) + (block2): Block( + (proj): WeightStandardizedConv2d(128, 128, kernel_size=(3, 3), stride=(1, 1), padding=(1, 1)) + (norm): GroupNorm(8, 128, eps=1e-05, affine=True) + (act): SiLU() + ) + (res_conv): Conv2d(256, 128, kernel_size=(1, 1), stride=(1, 1)) + ) + (1): ResnetBlock( + (mlp): Sequential( + (0): SiLU() + (1): Linear(in_features=512, out_features=256, bias=True) + ) + (block1): Block( + (proj): WeightStandardizedConv2d(256, 128, kernel_size=(3, 3), stride=(1, 1), padding=(1, 1)) + (norm): GroupNorm(8, 128, eps=1e-05, affine=True) + (act): SiLU() + ) + (block2): Block( + (proj): WeightStandardizedConv2d(128, 128, kernel_size=(3, 3), stride=(1, 1), padding=(1, 1)) + (norm): GroupNorm(8, 128, eps=1e-05, affine=True) + (act): SiLU() + ) + (res_conv): Conv2d(256, 128, kernel_size=(1, 1), stride=(1, 1)) + ) + (2): Residual( + (fn): PreNorm( + (fn): LinearAttention( + (to_qkv): Conv2d(128, 384, kernel_size=(1, 1), stride=(1, 1), bias=False) + (to_out): Sequential( + (0): Conv2d(128, 128, kernel_size=(1, 1), stride=(1, 1)) + (1): LayerNorm() + ) + ) + (norm): LayerNorm() + ) + ) + (3): Sequential( + (0): Upsample(scale_factor=2.0, mode=nearest) + (1): Conv2d(128, 128, kernel_size=(3, 3), stride=(1, 1), padding=(1, 1)) + ) + ) + (2): ModuleList( + (0): ResnetBlock( + (mlp): Sequential( + (0): SiLU() + (1): Linear(in_features=512, out_features=256, bias=True) + ) + (block1): Block( + (proj): WeightStandardizedConv2d(256, 128, kernel_size=(3, 3), stride=(1, 1), padding=(1, 1)) + (norm): GroupNorm(8, 128, eps=1e-05, affine=True) + (act): SiLU() + ) + (block2): Block( + (proj): WeightStandardizedConv2d(128, 128, kernel_size=(3, 3), stride=(1, 1), padding=(1, 1)) + (norm): GroupNorm(8, 128, eps=1e-05, affine=True) + (act): SiLU() + ) + (res_conv): Conv2d(256, 128, kernel_size=(1, 1), stride=(1, 1)) + ) + (1): ResnetBlock( + (mlp): Sequential( + (0): SiLU() + (1): Linear(in_features=512, out_features=256, bias=True) + ) + (block1): Block( + (proj): WeightStandardizedConv2d(256, 128, kernel_size=(3, 3), stride=(1, 1), padding=(1, 1)) + (norm): GroupNorm(8, 128, eps=1e-05, affine=True) + (act): SiLU() + ) + (block2): Block( + (proj): WeightStandardizedConv2d(128, 128, kernel_size=(3, 3), stride=(1, 1), padding=(1, 1)) + (norm): GroupNorm(8, 128, eps=1e-05, affine=True) + (act): SiLU() + ) + (res_conv): Conv2d(256, 128, kernel_size=(1, 1), stride=(1, 1)) + ) + (2): Residual( + (fn): PreNorm( + (fn): LinearAttention( + (to_qkv): Conv2d(128, 384, kernel_size=(1, 1), stride=(1, 1), bias=False) + (to_out): Sequential( + (0): Conv2d(128, 128, kernel_size=(1, 1), stride=(1, 1)) + (1): LayerNorm() + ) + ) + (norm): LayerNorm() + ) + ) + (3): Conv2d(128, 128, kernel_size=(3, 3), stride=(1, 1), padding=(1, 1)) + ) + ) + (mid_block1): ResnetBlock( + (mlp): Sequential( + (0): SiLU() + (1): Linear(in_features=512, out_features=256, bias=True) + ) + (block1): Block( + (proj): WeightStandardizedConv2d(128, 128, kernel_size=(3, 3), stride=(1, 1), padding=(1, 1)) + (norm): GroupNorm(8, 128, eps=1e-05, affine=True) + (act): SiLU() + ) + (block2): Block( + (proj): WeightStandardizedConv2d(128, 128, kernel_size=(3, 3), stride=(1, 1), padding=(1, 1)) + (norm): GroupNorm(8, 128, eps=1e-05, affine=True) + (act): SiLU() + ) + (res_conv): Identity() + ) + (mid_attn): Residual( + (fn): PreNorm( + (fn): Attention( + (to_qkv): Conv2d(128, 384, kernel_size=(1, 1), stride=(1, 1), bias=False) + (to_out): Conv2d(128, 128, kernel_size=(1, 1), stride=(1, 1)) + ) + (norm): LayerNorm() + ) + ) + (mid_block2): ResnetBlock( + (mlp): Sequential( + (0): SiLU() + (1): Linear(in_features=512, out_features=256, bias=True) + ) + (block1): Block( + (proj): WeightStandardizedConv2d(128, 128, kernel_size=(3, 3), stride=(1, 1), padding=(1, 1)) + (norm): GroupNorm(8, 128, eps=1e-05, affine=True) + (act): SiLU() + ) + (block2): Block( + (proj): WeightStandardizedConv2d(128, 128, kernel_size=(3, 3), stride=(1, 1), padding=(1, 1)) + (norm): GroupNorm(8, 128, eps=1e-05, affine=True) + (act): SiLU() + ) + (res_conv): Identity() + ) + (final_res_block): ResnetBlock( + (mlp): Sequential( + (0): SiLU() + (1): Linear(in_features=512, out_features=256, bias=True) + ) + (block1): Block( + (proj): WeightStandardizedConv2d(256, 128, kernel_size=(3, 3), stride=(1, 1), padding=(1, 1)) + (norm): GroupNorm(8, 128, eps=1e-05, affine=True) + (act): SiLU() + ) + (block2): Block( + (proj): WeightStandardizedConv2d(128, 128, kernel_size=(3, 3), stride=(1, 1), padding=(1, 1)) + (norm): GroupNorm(8, 128, eps=1e-05, affine=True) + (act): SiLU() + ) + (res_conv): Conv2d(256, 128, kernel_size=(1, 1), stride=(1, 1)) + ) + (final_conv): Conv2d(128, 256, kernel_size=(1, 1), stride=(1, 1)) + ) + (conv_seg_new): Conv2d(256, 151, kernel_size=(1, 1), stride=(1, 1)) + (embed): Embedding(151, 16) + ) + init_cfg={'type': 'Pretrained', 'checkpoint': 'pretrained/segformer_mit-b2_512x512_160k_ade20k_20220620_114047-64e4feca.pth'} +) +2023-03-04 17:39:09,635 - mmseg - INFO - Loaded 20210 images +2023-03-04 17:39:10,639 - mmseg - INFO - Loaded 2000 images +2023-03-04 17:39:10,642 - mmseg - INFO - Start running, host: laizeqiang@SH-IDC1-10-140-37-130, work_dir: /mnt/petrelfs/laizeqiang/mmseg-baseline/work_dirs2/ablation_segformer_mit_b2_segformer_head_unet_fc_single_step_ade_pretrained_freeze_embed_80k_ade20k151_logits +2023-03-04 17:39:10,642 - mmseg - INFO - Hooks will be executed in the following order: +before_run: +(VERY_HIGH ) StepLrUpdaterHook +(NORMAL ) CheckpointHook +(LOW ) DistEvalHookMultiSteps +(VERY_LOW ) TextLoggerHook + -------------------- +before_train_epoch: +(VERY_HIGH ) StepLrUpdaterHook +(LOW ) IterTimerHook +(LOW ) DistEvalHookMultiSteps +(VERY_LOW ) TextLoggerHook + -------------------- +before_train_iter: +(VERY_HIGH ) StepLrUpdaterHook +(LOW ) IterTimerHook +(LOW ) DistEvalHookMultiSteps + -------------------- +after_train_iter: +(ABOVE_NORMAL) OptimizerHook +(NORMAL ) CheckpointHook +(LOW ) IterTimerHook +(LOW ) DistEvalHookMultiSteps +(VERY_LOW ) TextLoggerHook + -------------------- +after_train_epoch: +(NORMAL ) CheckpointHook +(LOW ) DistEvalHookMultiSteps +(VERY_LOW ) TextLoggerHook + -------------------- +before_val_epoch: +(LOW ) IterTimerHook +(VERY_LOW ) TextLoggerHook + -------------------- +before_val_iter: +(LOW ) IterTimerHook + -------------------- +after_val_iter: +(LOW ) IterTimerHook + -------------------- +after_val_epoch: +(VERY_LOW ) TextLoggerHook + -------------------- +after_run: +(VERY_LOW ) TextLoggerHook + -------------------- +2023-03-04 17:39:10,642 - mmseg - INFO - workflow: [('train', 1)], max: 80000 iters +2023-03-04 17:39:10,642 - mmseg - INFO - Checkpoints will be saved to /mnt/petrelfs/laizeqiang/mmseg-baseline/work_dirs2/ablation_segformer_mit_b2_segformer_head_unet_fc_single_step_ade_pretrained_freeze_embed_80k_ade20k151_logits by HardDiskBackend. +2023-03-04 17:39:48,984 - mmseg - INFO - Iter [50/80000] lr: 7.350e-06, eta: 6:37:37, time: 0.298, data_time: 0.015, memory: 19750, decode.loss_ce: 4.0785, decode.acc_seg: 8.5126, loss: 4.0785 +2023-03-04 17:39:57,554 - mmseg - INFO - Iter [100/80000] lr: 1.485e-05, eta: 5:12:50, time: 0.171, data_time: 0.007, memory: 19750, decode.loss_ce: 2.9187, decode.acc_seg: 27.5140, loss: 2.9187 +2023-03-04 17:40:06,040 - mmseg - INFO - Iter [150/80000] lr: 2.235e-05, eta: 4:43:42, time: 0.170, data_time: 0.007, memory: 19750, decode.loss_ce: 2.3354, decode.acc_seg: 43.1981, loss: 2.3354 +2023-03-04 17:40:14,295 - mmseg - INFO - Iter [200/80000] lr: 2.985e-05, eta: 4:27:32, time: 0.165, data_time: 0.007, memory: 19750, decode.loss_ce: 1.8341, decode.acc_seg: 55.2996, loss: 1.8341 +2023-03-04 17:40:22,579 - mmseg - INFO - Iter [250/80000] lr: 3.735e-05, eta: 4:17:56, time: 0.166, data_time: 0.007, memory: 19750, decode.loss_ce: 1.5030, decode.acc_seg: 63.0600, loss: 1.5030 +2023-03-04 17:40:30,864 - mmseg - INFO - Iter [300/80000] lr: 4.485e-05, eta: 4:11:29, time: 0.166, data_time: 0.006, memory: 19750, decode.loss_ce: 1.2782, decode.acc_seg: 67.0304, loss: 1.2782 diff --git a/ablation/ablation_segformer_mit_b2_segformer_head_unet_fc_single_step_ade_pretrained_freeze_embed_80k_ade20k151_logits/20230304_173902.log.json b/ablation/ablation_segformer_mit_b2_segformer_head_unet_fc_single_step_ade_pretrained_freeze_embed_80k_ade20k151_logits/20230304_173902.log.json new file mode 100644 index 0000000000000000000000000000000000000000..280b406f399c18028267b04c8040bafd76c06d10 --- /dev/null +++ b/ablation/ablation_segformer_mit_b2_segformer_head_unet_fc_single_step_ade_pretrained_freeze_embed_80k_ade20k151_logits/20230304_173902.log.json @@ -0,0 +1,7 @@ +{"env_info": "sys.platform: linux\nPython: 3.7.16 (default, Jan 17 2023, 22:20:44) [GCC 11.2.0]\nCUDA available: True\nGPU 0,1,2,3,4,5,6,7: NVIDIA A100-SXM4-80GB\nCUDA_HOME: /mnt/petrelfs/laizeqiang/miniconda3/envs/torch\nNVCC: Cuda compilation tools, release 11.6, V11.6.124\nGCC: gcc (GCC) 4.8.5 20150623 (Red Hat 4.8.5-44)\nPyTorch: 1.13.1\nPyTorch compiling details: PyTorch built with:\n - GCC 9.3\n - C++ Version: 201402\n - Intel(R) oneAPI Math Kernel Library Version 2021.4-Product Build 20210904 for Intel(R) 64 architecture applications\n - Intel(R) MKL-DNN v2.6.0 (Git Hash 52b5f107dd9cf10910aaa19cb47f3abf9b349815)\n - OpenMP 201511 (a.k.a. OpenMP 4.5)\n - LAPACK is enabled (usually provided by MKL)\n - NNPACK is enabled\n - CPU capability usage: AVX2\n - CUDA Runtime 11.6\n - NVCC architecture flags: -gencode;arch=compute_37,code=sm_37;-gencode;arch=compute_50,code=sm_50;-gencode;arch=compute_60,code=sm_60;-gencode;arch=compute_61,code=sm_61;-gencode;arch=compute_70,code=sm_70;-gencode;arch=compute_75,code=sm_75;-gencode;arch=compute_80,code=sm_80;-gencode;arch=compute_86,code=sm_86;-gencode;arch=compute_37,code=compute_37\n - CuDNN 8.3.2 (built against CUDA 11.5)\n - Magma 2.6.1\n - Build settings: BLAS_INFO=mkl, BUILD_TYPE=Release, CUDA_VERSION=11.6, CUDNN_VERSION=8.3.2, CXX_COMPILER=/opt/rh/devtoolset-9/root/usr/bin/c++, CXX_FLAGS= -fabi-version=11 -Wno-deprecated -fvisibility-inlines-hidden -DUSE_PTHREADPOOL -fopenmp -DNDEBUG -DUSE_KINETO -DUSE_FBGEMM -DUSE_QNNPACK -DUSE_PYTORCH_QNNPACK -DUSE_XNNPACK -DSYMBOLICATE_MOBILE_DEBUG_HANDLE -DEDGE_PROFILER_USE_KINETO -O2 -fPIC -Wno-narrowing -Wall -Wextra -Werror=return-type -Werror=non-virtual-dtor -Wno-missing-field-initializers -Wno-type-limits -Wno-array-bounds -Wno-unknown-pragmas -Wunused-local-typedefs -Wno-unused-parameter -Wno-unused-function -Wno-unused-result -Wno-strict-overflow -Wno-strict-aliasing -Wno-error=deprecated-declarations -Wno-stringop-overflow -Wno-psabi -Wno-error=pedantic -Wno-error=redundant-decls -Wno-error=old-style-cast -fdiagnostics-color=always -faligned-new -Wno-unused-but-set-variable -Wno-maybe-uninitialized -fno-math-errno -fno-trapping-math -Werror=format -Werror=cast-function-type -Wno-stringop-overflow, LAPACK_INFO=mkl, PERF_WITH_AVX=1, PERF_WITH_AVX2=1, PERF_WITH_AVX512=1, TORCH_VERSION=1.13.1, USE_CUDA=ON, USE_CUDNN=ON, USE_EXCEPTION_PTR=1, USE_GFLAGS=OFF, USE_GLOG=OFF, USE_MKL=ON, USE_MKLDNN=ON, USE_MPI=OFF, USE_NCCL=ON, USE_NNPACK=ON, USE_OPENMP=ON, USE_ROCM=OFF, \n\nTorchVision: 0.14.1\nOpenCV: 4.7.0\nMMCV: 1.7.1\nMMCV Compiler: GCC 9.3\nMMCV CUDA Compiler: 11.6\nMMSegmentation: 0.30.0+6749699", "seed": 984079870, "exp_name": "ablation_segformer_mit_b2_segformer_head_unet_fc_single_step_ade_pretrained_freeze_embed_80k_ade20k151_logits.py", "mmseg_version": "0.30.0+6749699", "config": "norm_cfg = dict(type='SyncBN', requires_grad=True)\ncheckpoint = 'pretrained/segformer_mit-b2_512x512_160k_ade20k_20220620_114047-64e4feca.pth'\nmodel = dict(\n type='EncoderDecoderFreeze',\n freeze_parameters=['backbone', 'decode_head'],\n pretrained=\n 'pretrained/segformer_mit-b2_512x512_160k_ade20k_20220620_114047-64e4feca.pth',\n backbone=dict(\n type='MixVisionTransformerCustomInitWeights',\n in_channels=3,\n embed_dims=64,\n num_stages=4,\n num_layers=[3, 4, 6, 3],\n num_heads=[1, 2, 5, 8],\n patch_sizes=[7, 3, 3, 3],\n sr_ratios=[8, 4, 2, 1],\n out_indices=(0, 1, 2, 3),\n mlp_ratio=4,\n qkv_bias=True,\n drop_rate=0.0,\n attn_drop_rate=0.0,\n drop_path_rate=0.1,\n pretrained=\n 'pretrained/segformer_mit-b2_512x512_160k_ade20k_20220620_114047-64e4feca.pth'\n ),\n decode_head=dict(\n type='SegformerHeadUnetFCHeadSingleStepLogits',\n pretrained=\n 'pretrained/segformer_mit-b2_512x512_160k_ade20k_20220620_114047-64e4feca.pth',\n dim=128,\n out_dim=256,\n unet_channels=166,\n dim_mults=[1, 1, 1],\n cat_embedding_dim=16,\n in_channels=[64, 128, 320, 512],\n in_index=[0, 1, 2, 3],\n channels=256,\n dropout_ratio=0.1,\n num_classes=151,\n norm_cfg=dict(type='SyncBN', requires_grad=True),\n align_corners=False,\n ignore_index=0,\n loss_decode=dict(\n type='CrossEntropyLoss', use_sigmoid=False, loss_weight=1.0)),\n train_cfg=dict(),\n test_cfg=dict(mode='whole'))\ndataset_type = 'ADE20K151Dataset'\ndata_root = 'data/ade/ADEChallengeData2016'\nimg_norm_cfg = dict(\n mean=[123.675, 116.28, 103.53], std=[58.395, 57.12, 57.375], to_rgb=True)\ncrop_size = (512, 512)\ntrain_pipeline = [\n dict(type='LoadImageFromFile'),\n dict(type='LoadAnnotations', reduce_zero_label=False),\n dict(type='Resize', img_scale=(2048, 512), ratio_range=(0.5, 2.0)),\n dict(type='RandomCrop', crop_size=(512, 512), cat_max_ratio=0.75),\n dict(type='RandomFlip', prob=0.5),\n dict(type='PhotoMetricDistortion'),\n dict(\n type='Normalize',\n mean=[123.675, 116.28, 103.53],\n std=[58.395, 57.12, 57.375],\n to_rgb=True),\n dict(type='Pad', size=(512, 512), pad_val=0, seg_pad_val=0),\n dict(type='DefaultFormatBundle'),\n dict(type='Collect', keys=['img', 'gt_semantic_seg'])\n]\ntest_pipeline = [\n dict(type='LoadImageFromFile'),\n dict(\n type='MultiScaleFlipAug',\n img_scale=(2048, 512),\n flip=False,\n transforms=[\n dict(type='Resize', keep_ratio=True),\n dict(type='RandomFlip'),\n dict(\n type='Normalize',\n mean=[123.675, 116.28, 103.53],\n std=[58.395, 57.12, 57.375],\n to_rgb=True),\n dict(type='Pad', size_divisor=16, pad_val=0, seg_pad_val=0),\n dict(type='ImageToTensor', keys=['img']),\n dict(type='Collect', keys=['img'])\n ])\n]\ndata = dict(\n samples_per_gpu=4,\n workers_per_gpu=4,\n train=dict(\n type='ADE20K151Dataset',\n data_root='data/ade/ADEChallengeData2016',\n img_dir='images/training',\n ann_dir='annotations/training',\n pipeline=[\n dict(type='LoadImageFromFile'),\n dict(type='LoadAnnotations', reduce_zero_label=False),\n dict(type='Resize', img_scale=(2048, 512), ratio_range=(0.5, 2.0)),\n dict(type='RandomCrop', crop_size=(512, 512), cat_max_ratio=0.75),\n dict(type='RandomFlip', prob=0.5),\n dict(type='PhotoMetricDistortion'),\n dict(\n type='Normalize',\n mean=[123.675, 116.28, 103.53],\n std=[58.395, 57.12, 57.375],\n to_rgb=True),\n dict(type='Pad', size=(512, 512), pad_val=0, seg_pad_val=0),\n dict(type='DefaultFormatBundle'),\n dict(type='Collect', keys=['img', 'gt_semantic_seg'])\n ]),\n val=dict(\n type='ADE20K151Dataset',\n data_root='data/ade/ADEChallengeData2016',\n img_dir='images/validation',\n ann_dir='annotations/validation',\n pipeline=[\n dict(type='LoadImageFromFile'),\n dict(\n type='MultiScaleFlipAug',\n img_scale=(2048, 512),\n flip=False,\n transforms=[\n dict(type='Resize', keep_ratio=True),\n dict(type='RandomFlip'),\n dict(\n type='Normalize',\n mean=[123.675, 116.28, 103.53],\n std=[58.395, 57.12, 57.375],\n to_rgb=True),\n dict(\n type='Pad', size_divisor=16, pad_val=0, seg_pad_val=0),\n dict(type='ImageToTensor', keys=['img']),\n dict(type='Collect', keys=['img'])\n ])\n ]),\n test=dict(\n type='ADE20K151Dataset',\n data_root='data/ade/ADEChallengeData2016',\n img_dir='images/validation',\n ann_dir='annotations/validation',\n pipeline=[\n dict(type='LoadImageFromFile'),\n dict(\n type='MultiScaleFlipAug',\n img_scale=(2048, 512),\n flip=False,\n transforms=[\n dict(type='Resize', keep_ratio=True),\n dict(type='RandomFlip'),\n dict(\n type='Normalize',\n mean=[123.675, 116.28, 103.53],\n std=[58.395, 57.12, 57.375],\n to_rgb=True),\n dict(\n type='Pad', size_divisor=16, pad_val=0, seg_pad_val=0),\n dict(type='ImageToTensor', keys=['img']),\n dict(type='Collect', keys=['img'])\n ])\n ]))\nlog_config = dict(\n interval=50, hooks=[dict(type='TextLoggerHook', by_epoch=False)])\ndist_params = dict(backend='nccl')\nlog_level = 'INFO'\nload_from = None\nresume_from = None\nworkflow = [('train', 1)]\ncudnn_benchmark = True\noptimizer = dict(\n type='AdamW', lr=0.00015, betas=[0.9, 0.96], weight_decay=0.045)\noptimizer_config = dict()\nlr_config = dict(\n policy='step',\n warmup='linear',\n warmup_iters=1000,\n warmup_ratio=1e-06,\n step=10000,\n gamma=0.5,\n min_lr=1e-06,\n by_epoch=False)\nrunner = dict(type='IterBasedRunner', max_iters=80000)\ncheckpoint_config = dict(by_epoch=False, interval=8000)\nevaluation = dict(\n interval=8000, metric='mIoU', pre_eval=True, save_best='mIoU')\nwork_dir = './work_dirs2/ablation_segformer_mit_b2_segformer_head_unet_fc_single_step_ade_pretrained_freeze_embed_80k_ade20k151_logits'\ngpu_ids = range(0, 8)\nauto_resume = True\ndevice = 'cuda'\nseed = 984079870\n", "CLASSES": ["background", "wall", "building", "sky", "floor", "tree", "ceiling", "road", "bed ", "windowpane", "grass", "cabinet", "sidewalk", "person", "earth", "door", "table", "mountain", "plant", "curtain", "chair", "car", "water", "painting", "sofa", "shelf", "house", "sea", "mirror", "rug", "field", "armchair", "seat", "fence", "desk", "rock", "wardrobe", "lamp", "bathtub", "railing", "cushion", "base", "box", "column", "signboard", "chest of drawers", "counter", "sand", "sink", "skyscraper", "fireplace", "refrigerator", "grandstand", "path", "stairs", "runway", "case", "pool table", "pillow", "screen door", "stairway", "river", "bridge", "bookcase", "blind", "coffee table", "toilet", "flower", "book", "hill", "bench", "countertop", "stove", "palm", "kitchen island", "computer", "swivel chair", "boat", "bar", "arcade machine", "hovel", "bus", "towel", "light", "truck", "tower", "chandelier", "awning", "streetlight", "booth", "television receiver", "airplane", "dirt track", "apparel", "pole", "land", "bannister", "escalator", "ottoman", "bottle", "buffet", "poster", "stage", "van", "ship", "fountain", "conveyer belt", "canopy", "washer", "plaything", "swimming pool", "stool", "barrel", "basket", "waterfall", "tent", "bag", "minibike", "cradle", "oven", "ball", "food", "step", "tank", "trade name", "microwave", "pot", "animal", "bicycle", "lake", "dishwasher", "screen", "blanket", "sculpture", "hood", "sconce", "vase", "traffic light", "tray", "ashcan", "fan", "pier", "crt screen", "plate", "monitor", "bulletin board", "shower", "radiator", "glass", "clock", "flag"], "PALETTE": [[0, 0, 0], [120, 120, 120], [180, 120, 120], [6, 230, 230], [80, 50, 50], [4, 200, 3], [120, 120, 80], [140, 140, 140], [204, 5, 255], [230, 230, 230], [4, 250, 7], [224, 5, 255], [235, 255, 7], [150, 5, 61], [120, 120, 70], [8, 255, 51], [255, 6, 82], [143, 255, 140], [204, 255, 4], [255, 51, 7], [204, 70, 3], [0, 102, 200], [61, 230, 250], [255, 6, 51], [11, 102, 255], [255, 7, 71], [255, 9, 224], [9, 7, 230], [220, 220, 220], [255, 9, 92], [112, 9, 255], [8, 255, 214], [7, 255, 224], [255, 184, 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0], [82, 0, 255], [163, 255, 0], [255, 235, 0], [8, 184, 170], [133, 0, 255], [0, 255, 92], [184, 0, 255], [255, 0, 31], [0, 184, 255], [0, 214, 255], [255, 0, 112], [92, 255, 0], [0, 224, 255], [112, 224, 255], [70, 184, 160], [163, 0, 255], [153, 0, 255], [71, 255, 0], [255, 0, 163], [255, 204, 0], [255, 0, 143], [0, 255, 235], [133, 255, 0], [255, 0, 235], [245, 0, 255], [255, 0, 122], [255, 245, 0], [10, 190, 212], [214, 255, 0], [0, 204, 255], [20, 0, 255], [255, 255, 0], [0, 153, 255], [0, 41, 255], [0, 255, 204], [41, 0, 255], [41, 255, 0], [173, 0, 255], [0, 245, 255], [71, 0, 255], [122, 0, 255], [0, 255, 184], [0, 92, 255], [184, 255, 0], [0, 133, 255], [255, 214, 0], [25, 194, 194], [102, 255, 0], [92, 0, 255]], "hook_msgs": {}} +{"mode": "train", "epoch": 1, "iter": 50, "lr": 1e-05, "memory": 19750, "data_time": 0.01458, "decode.loss_ce": 4.07853, "decode.acc_seg": 8.51256, "loss": 4.07853, "time": 0.2984} +{"mode": "train", "epoch": 1, "iter": 100, "lr": 1e-05, "memory": 19750, "data_time": 0.00696, "decode.loss_ce": 2.91874, "decode.acc_seg": 27.51403, "loss": 2.91874, "time": 0.17144} +{"mode": "train", "epoch": 1, "iter": 150, "lr": 2e-05, "memory": 19750, "data_time": 0.00722, "decode.loss_ce": 2.33541, "decode.acc_seg": 43.1981, "loss": 2.33541, "time": 0.16968} +{"mode": "train", "epoch": 1, "iter": 200, "lr": 3e-05, "memory": 19750, "data_time": 0.00706, "decode.loss_ce": 1.83407, "decode.acc_seg": 55.29959, "loss": 1.83407, "time": 0.16511} +{"mode": "train", "epoch": 1, "iter": 250, "lr": 4e-05, "memory": 19750, "data_time": 0.00692, "decode.loss_ce": 1.50299, "decode.acc_seg": 63.05997, "loss": 1.50299, "time": 0.16567} +{"mode": "train", "epoch": 1, "iter": 300, "lr": 4e-05, "memory": 19750, "data_time": 0.00637, "decode.loss_ce": 1.27818, "decode.acc_seg": 67.03043, "loss": 1.27818, "time": 0.16569} diff --git a/ablation/ablation_segformer_mit_b2_segformer_head_unet_fc_single_step_ade_pretrained_freeze_embed_80k_ade20k151_logits/20230304_174053.log b/ablation/ablation_segformer_mit_b2_segformer_head_unet_fc_single_step_ade_pretrained_freeze_embed_80k_ade20k151_logits/20230304_174053.log new file mode 100644 index 0000000000000000000000000000000000000000..1196501e7340eb7954ec7a3881dcf421476ec061 --- /dev/null +++ b/ablation/ablation_segformer_mit_b2_segformer_head_unet_fc_single_step_ade_pretrained_freeze_embed_80k_ade20k151_logits/20230304_174053.log @@ -0,0 +1,1306 @@ +2023-03-04 17:40:53,177 - mmseg - INFO - Multi-processing start method is `None` +2023-03-04 17:40:53,190 - mmseg - INFO - OpenCV num_threads is `128 +2023-03-04 17:40:53,190 - mmseg - INFO - OMP num threads is 1 +2023-03-04 17:40:53,262 - mmseg - INFO - Environment info: +------------------------------------------------------------ +sys.platform: linux +Python: 3.7.16 (default, Jan 17 2023, 22:20:44) [GCC 11.2.0] +CUDA available: True +GPU 0,1,2,3,4,5,6,7: NVIDIA A100-SXM4-80GB +CUDA_HOME: /mnt/petrelfs/laizeqiang/miniconda3/envs/torch +NVCC: Cuda compilation tools, release 11.6, V11.6.124 +GCC: gcc (GCC) 4.8.5 20150623 (Red Hat 4.8.5-44) +PyTorch: 1.13.1 +PyTorch compiling details: PyTorch built with: + - GCC 9.3 + - C++ Version: 201402 + - Intel(R) oneAPI Math Kernel Library Version 2021.4-Product Build 20210904 for Intel(R) 64 architecture applications + - Intel(R) MKL-DNN v2.6.0 (Git Hash 52b5f107dd9cf10910aaa19cb47f3abf9b349815) + - OpenMP 201511 (a.k.a. OpenMP 4.5) + - LAPACK is enabled (usually provided by MKL) + - NNPACK is enabled + - CPU capability usage: AVX2 + - CUDA Runtime 11.6 + - NVCC architecture flags: -gencode;arch=compute_37,code=sm_37;-gencode;arch=compute_50,code=sm_50;-gencode;arch=compute_60,code=sm_60;-gencode;arch=compute_61,code=sm_61;-gencode;arch=compute_70,code=sm_70;-gencode;arch=compute_75,code=sm_75;-gencode;arch=compute_80,code=sm_80;-gencode;arch=compute_86,code=sm_86;-gencode;arch=compute_37,code=compute_37 + - CuDNN 8.3.2 (built against CUDA 11.5) + - Magma 2.6.1 + - Build settings: BLAS_INFO=mkl, BUILD_TYPE=Release, CUDA_VERSION=11.6, CUDNN_VERSION=8.3.2, CXX_COMPILER=/opt/rh/devtoolset-9/root/usr/bin/c++, CXX_FLAGS= -fabi-version=11 -Wno-deprecated -fvisibility-inlines-hidden -DUSE_PTHREADPOOL -fopenmp -DNDEBUG -DUSE_KINETO -DUSE_FBGEMM -DUSE_QNNPACK -DUSE_PYTORCH_QNNPACK -DUSE_XNNPACK -DSYMBOLICATE_MOBILE_DEBUG_HANDLE -DEDGE_PROFILER_USE_KINETO -O2 -fPIC -Wno-narrowing -Wall -Wextra -Werror=return-type -Werror=non-virtual-dtor -Wno-missing-field-initializers -Wno-type-limits -Wno-array-bounds -Wno-unknown-pragmas -Wunused-local-typedefs -Wno-unused-parameter -Wno-unused-function -Wno-unused-result -Wno-strict-overflow -Wno-strict-aliasing -Wno-error=deprecated-declarations -Wno-stringop-overflow -Wno-psabi -Wno-error=pedantic -Wno-error=redundant-decls -Wno-error=old-style-cast -fdiagnostics-color=always -faligned-new -Wno-unused-but-set-variable -Wno-maybe-uninitialized -fno-math-errno -fno-trapping-math -Werror=format -Werror=cast-function-type -Wno-stringop-overflow, LAPACK_INFO=mkl, PERF_WITH_AVX=1, PERF_WITH_AVX2=1, PERF_WITH_AVX512=1, TORCH_VERSION=1.13.1, USE_CUDA=ON, USE_CUDNN=ON, USE_EXCEPTION_PTR=1, USE_GFLAGS=OFF, USE_GLOG=OFF, USE_MKL=ON, USE_MKLDNN=ON, USE_MPI=OFF, USE_NCCL=ON, USE_NNPACK=ON, USE_OPENMP=ON, USE_ROCM=OFF, + +TorchVision: 0.14.1 +OpenCV: 4.7.0 +MMCV: 1.7.1 +MMCV Compiler: GCC 9.3 +MMCV CUDA Compiler: 11.6 +MMSegmentation: 0.30.0+6749699 +------------------------------------------------------------ + +2023-03-04 17:40:53,262 - mmseg - INFO - Distributed training: True +2023-03-04 17:40:53,958 - mmseg - INFO - Config: +norm_cfg = dict(type='SyncBN', requires_grad=True) +checkpoint = 'pretrained/segformer_mit-b2_512x512_160k_ade20k_20220620_114047-64e4feca.pth' +model = dict( + type='EncoderDecoderFreeze', + freeze_parameters=['backbone', 'decode_head'], + pretrained= + 'pretrained/segformer_mit-b2_512x512_160k_ade20k_20220620_114047-64e4feca.pth', + backbone=dict( + type='MixVisionTransformerCustomInitWeights', + in_channels=3, + embed_dims=64, + num_stages=4, + num_layers=[3, 4, 6, 3], + num_heads=[1, 2, 5, 8], + patch_sizes=[7, 3, 3, 3], + sr_ratios=[8, 4, 2, 1], + out_indices=(0, 1, 2, 3), + mlp_ratio=4, + qkv_bias=True, + drop_rate=0.0, + attn_drop_rate=0.0, + drop_path_rate=0.1), + decode_head=dict( + type='SegformerHeadUnetFCHeadSingleStepLogits', + pretrained= + 'pretrained/segformer_mit-b2_512x512_160k_ade20k_20220620_114047-64e4feca.pth', + dim=128, + out_dim=256, + unet_channels=166, + dim_mults=[1, 1, 1], + cat_embedding_dim=16, + in_channels=[64, 128, 320, 512], + in_index=[0, 1, 2, 3], + channels=256, + dropout_ratio=0.1, + num_classes=151, + norm_cfg=dict(type='SyncBN', requires_grad=True), + align_corners=False, + ignore_index=0, + loss_decode=dict( + type='CrossEntropyLoss', use_sigmoid=False, loss_weight=1.0)), + train_cfg=dict(), + test_cfg=dict(mode='whole')) +dataset_type = 'ADE20K151Dataset' +data_root = 'data/ade/ADEChallengeData2016' +img_norm_cfg = dict( + mean=[123.675, 116.28, 103.53], std=[58.395, 57.12, 57.375], to_rgb=True) +crop_size = (512, 512) +train_pipeline = [ + dict(type='LoadImageFromFile'), + dict(type='LoadAnnotations', reduce_zero_label=False), + dict(type='Resize', img_scale=(2048, 512), ratio_range=(0.5, 2.0)), + dict(type='RandomCrop', crop_size=(512, 512), cat_max_ratio=0.75), + dict(type='RandomFlip', prob=0.5), + dict(type='PhotoMetricDistortion'), + dict( + type='Normalize', + mean=[123.675, 116.28, 103.53], + std=[58.395, 57.12, 57.375], + to_rgb=True), + dict(type='Pad', size=(512, 512), pad_val=0, seg_pad_val=0), + dict(type='DefaultFormatBundle'), + dict(type='Collect', keys=['img', 'gt_semantic_seg']) +] +test_pipeline = [ + dict(type='LoadImageFromFile'), + dict( + type='MultiScaleFlipAug', + img_scale=(2048, 512), + flip=False, + transforms=[ + dict(type='Resize', keep_ratio=True), + dict(type='RandomFlip'), + dict( + type='Normalize', + mean=[123.675, 116.28, 103.53], + std=[58.395, 57.12, 57.375], + to_rgb=True), + dict(type='Pad', size_divisor=16, pad_val=0, seg_pad_val=0), + dict(type='ImageToTensor', keys=['img']), + dict(type='Collect', keys=['img']) + ]) +] +data = dict( + samples_per_gpu=4, + workers_per_gpu=4, + train=dict( + type='ADE20K151Dataset', + data_root='data/ade/ADEChallengeData2016', + img_dir='images/training', + ann_dir='annotations/training', + pipeline=[ + dict(type='LoadImageFromFile'), + dict(type='LoadAnnotations', reduce_zero_label=False), + dict(type='Resize', img_scale=(2048, 512), ratio_range=(0.5, 2.0)), + dict(type='RandomCrop', crop_size=(512, 512), cat_max_ratio=0.75), + dict(type='RandomFlip', prob=0.5), + dict(type='PhotoMetricDistortion'), + dict( + type='Normalize', + mean=[123.675, 116.28, 103.53], + std=[58.395, 57.12, 57.375], + to_rgb=True), + dict(type='Pad', size=(512, 512), pad_val=0, seg_pad_val=0), + dict(type='DefaultFormatBundle'), + dict(type='Collect', keys=['img', 'gt_semantic_seg']) + ]), + val=dict( + type='ADE20K151Dataset', + data_root='data/ade/ADEChallengeData2016', + img_dir='images/validation', + ann_dir='annotations/validation', + pipeline=[ + dict(type='LoadImageFromFile'), + dict( + type='MultiScaleFlipAug', + img_scale=(2048, 512), + flip=False, + transforms=[ + dict(type='Resize', keep_ratio=True), + dict(type='RandomFlip'), + dict( + type='Normalize', + mean=[123.675, 116.28, 103.53], + std=[58.395, 57.12, 57.375], + to_rgb=True), + dict( + type='Pad', size_divisor=16, pad_val=0, seg_pad_val=0), + dict(type='ImageToTensor', keys=['img']), + dict(type='Collect', keys=['img']) + ]) + ]), + test=dict( + type='ADE20K151Dataset', + data_root='data/ade/ADEChallengeData2016', + img_dir='images/validation', + ann_dir='annotations/validation', + pipeline=[ + dict(type='LoadImageFromFile'), + dict( + type='MultiScaleFlipAug', + img_scale=(2048, 512), + flip=False, + transforms=[ + dict(type='Resize', keep_ratio=True), + dict(type='RandomFlip'), + dict( + type='Normalize', + mean=[123.675, 116.28, 103.53], + std=[58.395, 57.12, 57.375], + to_rgb=True), + dict( + type='Pad', size_divisor=16, pad_val=0, seg_pad_val=0), + dict(type='ImageToTensor', keys=['img']), + dict(type='Collect', keys=['img']) + ]) + ])) +log_config = dict( + interval=50, hooks=[dict(type='TextLoggerHook', by_epoch=False)]) +dist_params = dict(backend='nccl') +log_level = 'INFO' +load_from = None +resume_from = None +workflow = [('train', 1)] +cudnn_benchmark = True +optimizer = dict( + type='AdamW', lr=0.00015, betas=[0.9, 0.96], weight_decay=0.045) +optimizer_config = dict() +lr_config = dict( + policy='step', + warmup='linear', + warmup_iters=1000, + warmup_ratio=1e-06, + step=10000, + gamma=0.5, + min_lr=1e-06, + by_epoch=False) +runner = dict(type='IterBasedRunner', max_iters=80000) +checkpoint_config = dict(by_epoch=False, interval=8000) +evaluation = dict( + interval=8000, metric='mIoU', pre_eval=True, save_best='mIoU') +work_dir = './work_dirs2/ablation_segformer_mit_b2_segformer_head_unet_fc_single_step_ade_pretrained_freeze_embed_80k_ade20k151_logits' +gpu_ids = range(0, 8) +auto_resume = True + +2023-03-04 17:40:58,203 - mmseg - INFO - Set random seed to 358795777, deterministic: False +2023-03-04 17:40:58,454 - mmseg - INFO - Parameters in backbone freezed! +2023-03-04 17:40:58,455 - mmseg - INFO - Trainable parameters in SegformerHeadUnetFCHeadSingleStep: ['unet.init_conv.weight', 'unet.init_conv.bias', 'unet.time_mlp.1.weight', 'unet.time_mlp.1.bias', 'unet.time_mlp.3.weight', 'unet.time_mlp.3.bias', 'unet.downs.0.0.mlp.1.weight', 'unet.downs.0.0.mlp.1.bias', 'unet.downs.0.0.block1.proj.weight', 'unet.downs.0.0.block1.proj.bias', 'unet.downs.0.0.block1.norm.weight', 'unet.downs.0.0.block1.norm.bias', 'unet.downs.0.0.block2.proj.weight', 'unet.downs.0.0.block2.proj.bias', 'unet.downs.0.0.block2.norm.weight', 'unet.downs.0.0.block2.norm.bias', 'unet.downs.0.1.mlp.1.weight', 'unet.downs.0.1.mlp.1.bias', 'unet.downs.0.1.block1.proj.weight', 'unet.downs.0.1.block1.proj.bias', 'unet.downs.0.1.block1.norm.weight', 'unet.downs.0.1.block1.norm.bias', 'unet.downs.0.1.block2.proj.weight', 'unet.downs.0.1.block2.proj.bias', 'unet.downs.0.1.block2.norm.weight', 'unet.downs.0.1.block2.norm.bias', 'unet.downs.0.2.fn.fn.to_qkv.weight', 'unet.downs.0.2.fn.fn.to_out.0.weight', 'unet.downs.0.2.fn.fn.to_out.0.bias', 'unet.downs.0.2.fn.fn.to_out.1.g', 'unet.downs.0.2.fn.norm.g', 'unet.downs.0.3.weight', 'unet.downs.0.3.bias', 'unet.downs.1.0.mlp.1.weight', 'unet.downs.1.0.mlp.1.bias', 'unet.downs.1.0.block1.proj.weight', 'unet.downs.1.0.block1.proj.bias', 'unet.downs.1.0.block1.norm.weight', 'unet.downs.1.0.block1.norm.bias', 'unet.downs.1.0.block2.proj.weight', 'unet.downs.1.0.block2.proj.bias', 'unet.downs.1.0.block2.norm.weight', 'unet.downs.1.0.block2.norm.bias', 'unet.downs.1.1.mlp.1.weight', 'unet.downs.1.1.mlp.1.bias', 'unet.downs.1.1.block1.proj.weight', 'unet.downs.1.1.block1.proj.bias', 'unet.downs.1.1.block1.norm.weight', 'unet.downs.1.1.block1.norm.bias', 'unet.downs.1.1.block2.proj.weight', 'unet.downs.1.1.block2.proj.bias', 'unet.downs.1.1.block2.norm.weight', 'unet.downs.1.1.block2.norm.bias', 'unet.downs.1.2.fn.fn.to_qkv.weight', 'unet.downs.1.2.fn.fn.to_out.0.weight', 'unet.downs.1.2.fn.fn.to_out.0.bias', 'unet.downs.1.2.fn.fn.to_out.1.g', 'unet.downs.1.2.fn.norm.g', 'unet.downs.1.3.weight', 'unet.downs.1.3.bias', 'unet.downs.2.0.mlp.1.weight', 'unet.downs.2.0.mlp.1.bias', 'unet.downs.2.0.block1.proj.weight', 'unet.downs.2.0.block1.proj.bias', 'unet.downs.2.0.block1.norm.weight', 'unet.downs.2.0.block1.norm.bias', 'unet.downs.2.0.block2.proj.weight', 'unet.downs.2.0.block2.proj.bias', 'unet.downs.2.0.block2.norm.weight', 'unet.downs.2.0.block2.norm.bias', 'unet.downs.2.1.mlp.1.weight', 'unet.downs.2.1.mlp.1.bias', 'unet.downs.2.1.block1.proj.weight', 'unet.downs.2.1.block1.proj.bias', 'unet.downs.2.1.block1.norm.weight', 'unet.downs.2.1.block1.norm.bias', 'unet.downs.2.1.block2.proj.weight', 'unet.downs.2.1.block2.proj.bias', 'unet.downs.2.1.block2.norm.weight', 'unet.downs.2.1.block2.norm.bias', 'unet.downs.2.2.fn.fn.to_qkv.weight', 'unet.downs.2.2.fn.fn.to_out.0.weight', 'unet.downs.2.2.fn.fn.to_out.0.bias', 'unet.downs.2.2.fn.fn.to_out.1.g', 'unet.downs.2.2.fn.norm.g', 'unet.downs.2.3.weight', 'unet.downs.2.3.bias', 'unet.ups.0.0.mlp.1.weight', 'unet.ups.0.0.mlp.1.bias', 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'unet.mid_block1.block1.proj.weight', 'unet.mid_block1.block1.proj.bias', 'unet.mid_block1.block1.norm.weight', 'unet.mid_block1.block1.norm.bias', 'unet.mid_block1.block2.proj.weight', 'unet.mid_block1.block2.proj.bias', 'unet.mid_block1.block2.norm.weight', 'unet.mid_block1.block2.norm.bias', 'unet.mid_attn.fn.fn.to_qkv.weight', 'unet.mid_attn.fn.fn.to_out.weight', 'unet.mid_attn.fn.fn.to_out.bias', 'unet.mid_attn.fn.norm.g', 'unet.mid_block2.mlp.1.weight', 'unet.mid_block2.mlp.1.bias', 'unet.mid_block2.block1.proj.weight', 'unet.mid_block2.block1.proj.bias', 'unet.mid_block2.block1.norm.weight', 'unet.mid_block2.block1.norm.bias', 'unet.mid_block2.block2.proj.weight', 'unet.mid_block2.block2.proj.bias', 'unet.mid_block2.block2.norm.weight', 'unet.mid_block2.block2.norm.bias', 'unet.final_res_block.mlp.1.weight', 'unet.final_res_block.mlp.1.bias', 'unet.final_res_block.block1.proj.weight', 'unet.final_res_block.block1.proj.bias', 'unet.final_res_block.block1.norm.weight', 'unet.final_res_block.block1.norm.bias', 'unet.final_res_block.block2.proj.weight', 'unet.final_res_block.block2.proj.bias', 'unet.final_res_block.block2.norm.weight', 'unet.final_res_block.block2.norm.bias', 'unet.final_res_block.res_conv.weight', 'unet.final_res_block.res_conv.bias', 'unet.final_conv.weight', 'unet.final_conv.bias', 'conv_seg_new.weight', 'conv_seg_new.bias'] +2023-03-04 17:40:58,455 - mmseg - INFO - Parameters in decode_head freezed! +2023-03-04 17:40:58,476 - mmseg - INFO - load checkpoint from local path: pretrained/segformer_mit-b2_512x512_160k_ade20k_20220620_114047-64e4feca.pth +2023-03-04 17:40:58,763 - mmseg - WARNING - The model and loaded state dict do not match exactly + +unexpected key in source state_dict: decode_head.conv_seg.weight, decode_head.conv_seg.bias, decode_head.convs.0.conv.weight, decode_head.convs.0.bn.weight, decode_head.convs.0.bn.bias, decode_head.convs.0.bn.running_mean, decode_head.convs.0.bn.running_var, decode_head.convs.0.bn.num_batches_tracked, decode_head.convs.1.conv.weight, decode_head.convs.1.bn.weight, decode_head.convs.1.bn.bias, decode_head.convs.1.bn.running_mean, decode_head.convs.1.bn.running_var, decode_head.convs.1.bn.num_batches_tracked, decode_head.convs.2.conv.weight, decode_head.convs.2.bn.weight, decode_head.convs.2.bn.bias, decode_head.convs.2.bn.running_mean, decode_head.convs.2.bn.running_var, decode_head.convs.2.bn.num_batches_tracked, decode_head.convs.3.conv.weight, decode_head.convs.3.bn.weight, decode_head.convs.3.bn.bias, decode_head.convs.3.bn.running_mean, decode_head.convs.3.bn.running_var, decode_head.convs.3.bn.num_batches_tracked, decode_head.fusion_conv.conv.weight, decode_head.fusion_conv.bn.weight, decode_head.fusion_conv.bn.bias, decode_head.fusion_conv.bn.running_mean, decode_head.fusion_conv.bn.running_var, decode_head.fusion_conv.bn.num_batches_tracked + +2023-03-04 17:40:58,785 - mmseg - INFO - load checkpoint from local path: pretrained/segformer_mit-b2_512x512_160k_ade20k_20220620_114047-64e4feca.pth +2023-03-04 17:40:59,010 - mmseg - WARNING - The model and loaded state dict do not match exactly + +unexpected key in source state_dict: backbone.layers.0.0.projection.weight, backbone.layers.0.0.projection.bias, backbone.layers.0.0.norm.weight, backbone.layers.0.0.norm.bias, backbone.layers.0.1.0.norm1.weight, backbone.layers.0.1.0.norm1.bias, backbone.layers.0.1.0.attn.attn.in_proj_weight, backbone.layers.0.1.0.attn.attn.in_proj_bias, backbone.layers.0.1.0.attn.attn.out_proj.weight, backbone.layers.0.1.0.attn.attn.out_proj.bias, backbone.layers.0.1.0.attn.sr.weight, backbone.layers.0.1.0.attn.sr.bias, backbone.layers.0.1.0.attn.norm.weight, backbone.layers.0.1.0.attn.norm.bias, backbone.layers.0.1.0.norm2.weight, backbone.layers.0.1.0.norm2.bias, backbone.layers.0.1.0.ffn.layers.0.weight, backbone.layers.0.1.0.ffn.layers.0.bias, backbone.layers.0.1.0.ffn.layers.1.weight, 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(4): Conv2d(1280, 320, kernel_size=(1, 1), stride=(1, 1)) + (5): Dropout(p=0.0, inplace=False) + ) + (dropout_layer): DropPath() + ) + ) + (5): TransformerEncoderLayer( + (norm1): LayerNorm((320,), eps=1e-06, elementwise_affine=True) + (attn): EfficientMultiheadAttention( + (attn): MultiheadAttention( + (out_proj): NonDynamicallyQuantizableLinear(in_features=320, out_features=320, bias=True) + ) + (proj_drop): Dropout(p=0.0, inplace=False) + (dropout_layer): DropPath() + (sr): Conv2d(320, 320, kernel_size=(2, 2), stride=(2, 2)) + (norm): LayerNorm((320,), eps=1e-06, elementwise_affine=True) + ) + (norm2): LayerNorm((320,), eps=1e-06, elementwise_affine=True) + (ffn): MixFFN( + (activate): GELU(approximate='none') + (layers): Sequential( + (0): Conv2d(320, 1280, kernel_size=(1, 1), stride=(1, 1)) + (1): Conv2d(1280, 1280, kernel_size=(3, 3), stride=(1, 1), padding=(1, 1), groups=1280) + (2): GELU(approximate='none') + (3): Dropout(p=0.0, inplace=False) + (4): Conv2d(1280, 320, kernel_size=(1, 1), stride=(1, 1)) + (5): Dropout(p=0.0, inplace=False) + ) + (dropout_layer): DropPath() + ) + ) + ) + (2): LayerNorm((320,), eps=1e-06, elementwise_affine=True) + ) + (3): ModuleList( + (0): PatchEmbed( + (projection): Conv2d(320, 512, kernel_size=(3, 3), stride=(2, 2), padding=(1, 1)) + (norm): LayerNorm((512,), eps=1e-06, elementwise_affine=True) + ) + (1): ModuleList( + (0): TransformerEncoderLayer( + (norm1): LayerNorm((512,), eps=1e-06, elementwise_affine=True) + (attn): EfficientMultiheadAttention( + (attn): MultiheadAttention( + (out_proj): NonDynamicallyQuantizableLinear(in_features=512, out_features=512, bias=True) + ) + (proj_drop): Dropout(p=0.0, inplace=False) + (dropout_layer): DropPath() + ) + (norm2): LayerNorm((512,), eps=1e-06, elementwise_affine=True) + (ffn): MixFFN( + (activate): GELU(approximate='none') + (layers): Sequential( + (0): Conv2d(512, 2048, kernel_size=(1, 1), stride=(1, 1)) + (1): Conv2d(2048, 2048, kernel_size=(3, 3), stride=(1, 1), padding=(1, 1), groups=2048) + (2): GELU(approximate='none') + (3): Dropout(p=0.0, inplace=False) + (4): Conv2d(2048, 512, kernel_size=(1, 1), stride=(1, 1)) + (5): Dropout(p=0.0, inplace=False) + ) + (dropout_layer): DropPath() + ) + ) + (1): TransformerEncoderLayer( + (norm1): LayerNorm((512,), eps=1e-06, elementwise_affine=True) + (attn): EfficientMultiheadAttention( + (attn): MultiheadAttention( + (out_proj): NonDynamicallyQuantizableLinear(in_features=512, out_features=512, bias=True) + ) + (proj_drop): Dropout(p=0.0, inplace=False) + (dropout_layer): DropPath() + ) + (norm2): LayerNorm((512,), eps=1e-06, elementwise_affine=True) + (ffn): MixFFN( + (activate): GELU(approximate='none') + (layers): Sequential( + (0): Conv2d(512, 2048, kernel_size=(1, 1), stride=(1, 1)) + (1): Conv2d(2048, 2048, kernel_size=(3, 3), stride=(1, 1), padding=(1, 1), groups=2048) + (2): GELU(approximate='none') + (3): Dropout(p=0.0, inplace=False) + (4): Conv2d(2048, 512, kernel_size=(1, 1), stride=(1, 1)) + (5): Dropout(p=0.0, inplace=False) + ) + (dropout_layer): DropPath() + ) + ) + (2): TransformerEncoderLayer( + (norm1): LayerNorm((512,), eps=1e-06, elementwise_affine=True) + (attn): EfficientMultiheadAttention( + (attn): MultiheadAttention( + (out_proj): NonDynamicallyQuantizableLinear(in_features=512, out_features=512, bias=True) + ) + (proj_drop): Dropout(p=0.0, inplace=False) + (dropout_layer): DropPath() + ) + (norm2): LayerNorm((512,), eps=1e-06, elementwise_affine=True) + (ffn): MixFFN( + (activate): GELU(approximate='none') + (layers): Sequential( + (0): Conv2d(512, 2048, kernel_size=(1, 1), stride=(1, 1)) + (1): Conv2d(2048, 2048, kernel_size=(3, 3), stride=(1, 1), padding=(1, 1), groups=2048) + (2): GELU(approximate='none') + (3): Dropout(p=0.0, inplace=False) + (4): Conv2d(2048, 512, kernel_size=(1, 1), stride=(1, 1)) + (5): Dropout(p=0.0, inplace=False) + ) + (dropout_layer): DropPath() + ) + ) + ) + (2): LayerNorm((512,), eps=1e-06, elementwise_affine=True) + ) + ) + ) + init_cfg={'type': 'Pretrained', 'checkpoint': 'pretrained/segformer_mit-b2_512x512_160k_ade20k_20220620_114047-64e4feca.pth'} + (decode_head): SegformerHeadUnetFCHeadSingleStepLogits( + input_transform=multiple_select, ignore_index=0, align_corners=False + (loss_decode): CrossEntropyLoss(avg_non_ignore=False) + (conv_seg): Conv2d(256, 150, kernel_size=(1, 1), stride=(1, 1)) + (dropout): Dropout2d(p=0.1, inplace=False) + (convs): ModuleList( + (0): ConvModule( + (conv): Conv2d(64, 256, kernel_size=(1, 1), stride=(1, 1), bias=False) + (bn): SyncBatchNorm(256, eps=1e-05, momentum=0.1, affine=True, track_running_stats=True) + (activate): ReLU(inplace=True) + ) + (1): ConvModule( + (conv): Conv2d(128, 256, kernel_size=(1, 1), stride=(1, 1), bias=False) + (bn): SyncBatchNorm(256, eps=1e-05, momentum=0.1, affine=True, track_running_stats=True) + (activate): ReLU(inplace=True) + ) + (2): ConvModule( + (conv): Conv2d(320, 256, kernel_size=(1, 1), stride=(1, 1), bias=False) + (bn): SyncBatchNorm(256, eps=1e-05, momentum=0.1, affine=True, track_running_stats=True) + (activate): ReLU(inplace=True) + ) + (3): ConvModule( + (conv): Conv2d(512, 256, kernel_size=(1, 1), stride=(1, 1), bias=False) + (bn): SyncBatchNorm(256, eps=1e-05, momentum=0.1, affine=True, track_running_stats=True) + (activate): ReLU(inplace=True) + ) + ) + (fusion_conv): ConvModule( + (conv): Conv2d(1024, 256, kernel_size=(1, 1), stride=(1, 1), bias=False) + (bn): SyncBatchNorm(256, eps=1e-05, momentum=0.1, affine=True, track_running_stats=True) + (activate): ReLU(inplace=True) + ) + (unet): Unet( + (init_conv): Conv2d(166, 128, kernel_size=(7, 7), stride=(1, 1), padding=(3, 3)) + (time_mlp): Sequential( + (0): SinusoidalPosEmb() + (1): Linear(in_features=128, out_features=512, bias=True) + (2): GELU(approximate='none') + (3): Linear(in_features=512, out_features=512, bias=True) + ) + (downs): ModuleList( + (0): ModuleList( + (0): ResnetBlock( + (mlp): Sequential( + (0): SiLU() + (1): Linear(in_features=512, out_features=256, bias=True) + ) + (block1): Block( + (proj): WeightStandardizedConv2d(128, 128, kernel_size=(3, 3), stride=(1, 1), padding=(1, 1)) + (norm): GroupNorm(8, 128, eps=1e-05, affine=True) + (act): SiLU() + ) + (block2): Block( + (proj): WeightStandardizedConv2d(128, 128, kernel_size=(3, 3), stride=(1, 1), padding=(1, 1)) + (norm): GroupNorm(8, 128, eps=1e-05, affine=True) + (act): SiLU() + ) + (res_conv): Identity() + ) + (1): ResnetBlock( + (mlp): Sequential( + (0): SiLU() + (1): Linear(in_features=512, out_features=256, bias=True) + ) + (block1): Block( + (proj): WeightStandardizedConv2d(128, 128, kernel_size=(3, 3), stride=(1, 1), padding=(1, 1)) + (norm): GroupNorm(8, 128, eps=1e-05, affine=True) + (act): SiLU() + ) + (block2): Block( + (proj): WeightStandardizedConv2d(128, 128, kernel_size=(3, 3), stride=(1, 1), padding=(1, 1)) + (norm): GroupNorm(8, 128, eps=1e-05, affine=True) + (act): SiLU() + ) + (res_conv): Identity() + ) + (2): Residual( + (fn): PreNorm( + (fn): LinearAttention( + (to_qkv): Conv2d(128, 384, kernel_size=(1, 1), stride=(1, 1), bias=False) + (to_out): Sequential( + (0): Conv2d(128, 128, kernel_size=(1, 1), stride=(1, 1)) + (1): LayerNorm() + ) + ) + (norm): LayerNorm() + ) + ) + (3): Conv2d(128, 128, kernel_size=(4, 4), stride=(2, 2), padding=(1, 1)) + ) + (1): ModuleList( + (0): ResnetBlock( + (mlp): Sequential( + (0): SiLU() + (1): Linear(in_features=512, out_features=256, bias=True) + ) + (block1): Block( + (proj): WeightStandardizedConv2d(128, 128, kernel_size=(3, 3), stride=(1, 1), padding=(1, 1)) + (norm): GroupNorm(8, 128, eps=1e-05, affine=True) + (act): SiLU() + ) + (block2): Block( + (proj): WeightStandardizedConv2d(128, 128, kernel_size=(3, 3), stride=(1, 1), padding=(1, 1)) + (norm): GroupNorm(8, 128, eps=1e-05, affine=True) + (act): SiLU() + ) + (res_conv): Identity() + ) + (1): ResnetBlock( + (mlp): Sequential( + (0): SiLU() + (1): Linear(in_features=512, out_features=256, bias=True) + ) + (block1): Block( + (proj): WeightStandardizedConv2d(128, 128, kernel_size=(3, 3), stride=(1, 1), padding=(1, 1)) + (norm): GroupNorm(8, 128, eps=1e-05, affine=True) + (act): SiLU() + ) + (block2): Block( + (proj): WeightStandardizedConv2d(128, 128, kernel_size=(3, 3), stride=(1, 1), padding=(1, 1)) + (norm): GroupNorm(8, 128, eps=1e-05, affine=True) + (act): SiLU() + ) + (res_conv): Identity() + ) + (2): Residual( + (fn): PreNorm( + (fn): LinearAttention( + (to_qkv): Conv2d(128, 384, kernel_size=(1, 1), stride=(1, 1), bias=False) + (to_out): Sequential( + (0): Conv2d(128, 128, kernel_size=(1, 1), stride=(1, 1)) + (1): LayerNorm() + ) + ) + (norm): LayerNorm() + ) + ) + (3): Conv2d(128, 128, kernel_size=(4, 4), stride=(2, 2), padding=(1, 1)) + ) + (2): ModuleList( + (0): ResnetBlock( + (mlp): Sequential( + (0): SiLU() + (1): Linear(in_features=512, out_features=256, bias=True) + ) + (block1): Block( + (proj): WeightStandardizedConv2d(128, 128, kernel_size=(3, 3), stride=(1, 1), padding=(1, 1)) + (norm): GroupNorm(8, 128, eps=1e-05, affine=True) + (act): SiLU() + ) + (block2): Block( + (proj): WeightStandardizedConv2d(128, 128, kernel_size=(3, 3), stride=(1, 1), padding=(1, 1)) + (norm): GroupNorm(8, 128, eps=1e-05, affine=True) + (act): SiLU() + ) + (res_conv): Identity() + ) + (1): ResnetBlock( + (mlp): Sequential( + (0): SiLU() + (1): Linear(in_features=512, out_features=256, bias=True) + ) + (block1): Block( + (proj): WeightStandardizedConv2d(128, 128, kernel_size=(3, 3), stride=(1, 1), padding=(1, 1)) + (norm): GroupNorm(8, 128, eps=1e-05, affine=True) + (act): SiLU() + ) + (block2): Block( + (proj): WeightStandardizedConv2d(128, 128, kernel_size=(3, 3), stride=(1, 1), padding=(1, 1)) + (norm): GroupNorm(8, 128, eps=1e-05, affine=True) + (act): SiLU() + ) + (res_conv): Identity() + ) + (2): Residual( + (fn): PreNorm( + (fn): LinearAttention( + (to_qkv): Conv2d(128, 384, kernel_size=(1, 1), stride=(1, 1), bias=False) + (to_out): Sequential( + (0): Conv2d(128, 128, kernel_size=(1, 1), stride=(1, 1)) + (1): LayerNorm() + ) + ) + (norm): LayerNorm() + ) + ) + (3): Conv2d(128, 128, kernel_size=(3, 3), stride=(1, 1), padding=(1, 1)) + ) + ) + (ups): ModuleList( + (0): ModuleList( + (0): ResnetBlock( + (mlp): Sequential( + (0): SiLU() + (1): Linear(in_features=512, out_features=256, bias=True) + ) + (block1): Block( + (proj): WeightStandardizedConv2d(256, 128, kernel_size=(3, 3), stride=(1, 1), padding=(1, 1)) + (norm): GroupNorm(8, 128, eps=1e-05, affine=True) + (act): SiLU() + ) + (block2): Block( + (proj): WeightStandardizedConv2d(128, 128, kernel_size=(3, 3), stride=(1, 1), padding=(1, 1)) + (norm): GroupNorm(8, 128, eps=1e-05, affine=True) + (act): SiLU() + ) + (res_conv): Conv2d(256, 128, kernel_size=(1, 1), stride=(1, 1)) + ) + (1): ResnetBlock( + (mlp): Sequential( + (0): SiLU() + (1): Linear(in_features=512, out_features=256, bias=True) + ) + (block1): Block( + (proj): WeightStandardizedConv2d(256, 128, kernel_size=(3, 3), stride=(1, 1), padding=(1, 1)) + (norm): GroupNorm(8, 128, eps=1e-05, affine=True) + (act): SiLU() + ) + (block2): Block( + (proj): WeightStandardizedConv2d(128, 128, kernel_size=(3, 3), stride=(1, 1), padding=(1, 1)) + (norm): GroupNorm(8, 128, eps=1e-05, affine=True) + (act): SiLU() + ) + (res_conv): Conv2d(256, 128, kernel_size=(1, 1), stride=(1, 1)) + ) + (2): Residual( + (fn): PreNorm( + (fn): LinearAttention( + (to_qkv): Conv2d(128, 384, kernel_size=(1, 1), stride=(1, 1), bias=False) + (to_out): Sequential( + (0): Conv2d(128, 128, kernel_size=(1, 1), stride=(1, 1)) + (1): LayerNorm() + ) + ) + (norm): LayerNorm() + ) + ) + (3): Sequential( + (0): Upsample(scale_factor=2.0, mode=nearest) + (1): Conv2d(128, 128, kernel_size=(3, 3), stride=(1, 1), padding=(1, 1)) + ) + ) + (1): ModuleList( + (0): ResnetBlock( + (mlp): Sequential( + (0): SiLU() + (1): Linear(in_features=512, out_features=256, bias=True) + ) + (block1): Block( + (proj): WeightStandardizedConv2d(256, 128, kernel_size=(3, 3), stride=(1, 1), padding=(1, 1)) + (norm): GroupNorm(8, 128, eps=1e-05, affine=True) + (act): SiLU() + ) + (block2): Block( + (proj): WeightStandardizedConv2d(128, 128, kernel_size=(3, 3), stride=(1, 1), padding=(1, 1)) + (norm): GroupNorm(8, 128, eps=1e-05, affine=True) + (act): SiLU() + ) + (res_conv): Conv2d(256, 128, kernel_size=(1, 1), stride=(1, 1)) + ) + (1): ResnetBlock( + (mlp): Sequential( + (0): SiLU() + (1): Linear(in_features=512, out_features=256, bias=True) + ) + (block1): Block( + (proj): WeightStandardizedConv2d(256, 128, kernel_size=(3, 3), stride=(1, 1), padding=(1, 1)) + (norm): GroupNorm(8, 128, eps=1e-05, affine=True) + (act): SiLU() + ) + (block2): Block( + (proj): WeightStandardizedConv2d(128, 128, kernel_size=(3, 3), stride=(1, 1), padding=(1, 1)) + (norm): GroupNorm(8, 128, eps=1e-05, affine=True) + (act): SiLU() + ) + (res_conv): Conv2d(256, 128, kernel_size=(1, 1), stride=(1, 1)) + ) + (2): Residual( + (fn): PreNorm( + (fn): LinearAttention( + (to_qkv): Conv2d(128, 384, kernel_size=(1, 1), stride=(1, 1), bias=False) + (to_out): Sequential( + (0): Conv2d(128, 128, kernel_size=(1, 1), stride=(1, 1)) + (1): LayerNorm() + ) + ) + (norm): LayerNorm() + ) + ) + (3): Sequential( + (0): Upsample(scale_factor=2.0, mode=nearest) + (1): Conv2d(128, 128, kernel_size=(3, 3), stride=(1, 1), padding=(1, 1)) + ) + ) + (2): ModuleList( + (0): ResnetBlock( + (mlp): Sequential( + (0): SiLU() + (1): Linear(in_features=512, out_features=256, bias=True) + ) + (block1): Block( + (proj): WeightStandardizedConv2d(256, 128, kernel_size=(3, 3), stride=(1, 1), padding=(1, 1)) + (norm): GroupNorm(8, 128, eps=1e-05, affine=True) + (act): SiLU() + ) + (block2): Block( + (proj): WeightStandardizedConv2d(128, 128, kernel_size=(3, 3), stride=(1, 1), padding=(1, 1)) + (norm): GroupNorm(8, 128, eps=1e-05, affine=True) + (act): SiLU() + ) + (res_conv): Conv2d(256, 128, kernel_size=(1, 1), stride=(1, 1)) + ) + (1): ResnetBlock( + (mlp): Sequential( + (0): SiLU() + (1): Linear(in_features=512, out_features=256, bias=True) + ) + (block1): Block( + (proj): WeightStandardizedConv2d(256, 128, kernel_size=(3, 3), stride=(1, 1), padding=(1, 1)) + (norm): GroupNorm(8, 128, eps=1e-05, affine=True) + (act): SiLU() + ) + (block2): Block( + (proj): WeightStandardizedConv2d(128, 128, kernel_size=(3, 3), stride=(1, 1), padding=(1, 1)) + (norm): GroupNorm(8, 128, eps=1e-05, affine=True) + (act): SiLU() + ) + (res_conv): Conv2d(256, 128, kernel_size=(1, 1), stride=(1, 1)) + ) + (2): Residual( + (fn): PreNorm( + (fn): LinearAttention( + (to_qkv): Conv2d(128, 384, kernel_size=(1, 1), stride=(1, 1), bias=False) + (to_out): Sequential( + (0): Conv2d(128, 128, kernel_size=(1, 1), stride=(1, 1)) + (1): LayerNorm() + ) + ) + (norm): LayerNorm() + ) + ) + (3): Conv2d(128, 128, kernel_size=(3, 3), stride=(1, 1), padding=(1, 1)) + ) + ) + (mid_block1): ResnetBlock( + (mlp): Sequential( + (0): SiLU() + (1): Linear(in_features=512, out_features=256, bias=True) + ) + (block1): Block( + (proj): WeightStandardizedConv2d(128, 128, kernel_size=(3, 3), stride=(1, 1), padding=(1, 1)) + (norm): GroupNorm(8, 128, eps=1e-05, affine=True) + (act): SiLU() + ) + (block2): Block( + (proj): WeightStandardizedConv2d(128, 128, kernel_size=(3, 3), stride=(1, 1), padding=(1, 1)) + (norm): GroupNorm(8, 128, eps=1e-05, affine=True) + (act): SiLU() + ) + (res_conv): Identity() + ) + (mid_attn): Residual( + (fn): PreNorm( + (fn): Attention( + (to_qkv): Conv2d(128, 384, kernel_size=(1, 1), stride=(1, 1), bias=False) + (to_out): Conv2d(128, 128, kernel_size=(1, 1), stride=(1, 1)) + ) + (norm): LayerNorm() + ) + ) + (mid_block2): ResnetBlock( + (mlp): Sequential( + (0): SiLU() + (1): Linear(in_features=512, out_features=256, bias=True) + ) + (block1): Block( + (proj): WeightStandardizedConv2d(128, 128, kernel_size=(3, 3), stride=(1, 1), padding=(1, 1)) + (norm): GroupNorm(8, 128, eps=1e-05, affine=True) + (act): SiLU() + ) + (block2): Block( + (proj): WeightStandardizedConv2d(128, 128, kernel_size=(3, 3), stride=(1, 1), padding=(1, 1)) + (norm): GroupNorm(8, 128, eps=1e-05, affine=True) + (act): SiLU() + ) + (res_conv): Identity() + ) + (final_res_block): ResnetBlock( + (mlp): Sequential( + (0): SiLU() + (1): Linear(in_features=512, out_features=256, bias=True) + ) + (block1): Block( + (proj): WeightStandardizedConv2d(256, 128, kernel_size=(3, 3), stride=(1, 1), padding=(1, 1)) + (norm): GroupNorm(8, 128, eps=1e-05, affine=True) + (act): SiLU() + ) + (block2): Block( + (proj): WeightStandardizedConv2d(128, 128, kernel_size=(3, 3), stride=(1, 1), padding=(1, 1)) + (norm): GroupNorm(8, 128, eps=1e-05, affine=True) + (act): SiLU() + ) + (res_conv): Conv2d(256, 128, kernel_size=(1, 1), stride=(1, 1)) + ) + (final_conv): Conv2d(128, 256, kernel_size=(1, 1), stride=(1, 1)) + ) + (conv_seg_new): Conv2d(256, 151, kernel_size=(1, 1), stride=(1, 1)) + (embed): Embedding(151, 16) + ) + init_cfg={'type': 'Pretrained', 'checkpoint': 'pretrained/segformer_mit-b2_512x512_160k_ade20k_20220620_114047-64e4feca.pth'} +) +2023-03-04 17:40:59,909 - mmseg - INFO - Loaded 20210 images +2023-03-04 17:41:00,954 - mmseg - INFO - Loaded 2000 images +2023-03-04 17:41:00,957 - mmseg - INFO - Start running, host: laizeqiang@SH-IDC1-10-140-37-132, work_dir: /mnt/petrelfs/laizeqiang/mmseg-baseline/work_dirs2/ablation_segformer_mit_b2_segformer_head_unet_fc_single_step_ade_pretrained_freeze_embed_80k_ade20k151_logits +2023-03-04 17:41:00,957 - mmseg - INFO - Hooks will be executed in the following order: +before_run: +(VERY_HIGH ) StepLrUpdaterHook +(NORMAL ) CheckpointHook +(LOW ) DistEvalHookMultiSteps +(VERY_LOW ) TextLoggerHook + -------------------- +before_train_epoch: +(VERY_HIGH ) StepLrUpdaterHook +(LOW ) IterTimerHook +(LOW ) DistEvalHookMultiSteps +(VERY_LOW ) TextLoggerHook + -------------------- +before_train_iter: +(VERY_HIGH ) StepLrUpdaterHook +(LOW ) IterTimerHook +(LOW ) DistEvalHookMultiSteps + -------------------- +after_train_iter: +(ABOVE_NORMAL) OptimizerHook +(NORMAL ) CheckpointHook +(LOW ) IterTimerHook +(LOW ) DistEvalHookMultiSteps +(VERY_LOW ) TextLoggerHook + -------------------- +after_train_epoch: +(NORMAL ) CheckpointHook +(LOW ) DistEvalHookMultiSteps +(VERY_LOW ) TextLoggerHook + -------------------- +before_val_epoch: +(LOW ) IterTimerHook +(VERY_LOW ) TextLoggerHook + -------------------- +before_val_iter: +(LOW ) IterTimerHook + -------------------- +after_val_iter: +(LOW ) IterTimerHook + -------------------- +after_val_epoch: +(VERY_LOW ) TextLoggerHook + -------------------- +after_run: +(VERY_LOW ) TextLoggerHook + -------------------- +2023-03-04 17:41:00,957 - mmseg - INFO - workflow: [('train', 1)], max: 80000 iters +2023-03-04 17:41:00,957 - mmseg - INFO - Checkpoints will be saved to /mnt/petrelfs/laizeqiang/mmseg-baseline/work_dirs2/ablation_segformer_mit_b2_segformer_head_unet_fc_single_step_ade_pretrained_freeze_embed_80k_ade20k151_logits by HardDiskBackend. +2023-03-04 17:41:38,687 - mmseg - INFO - Iter [50/80000] lr: 7.350e-06, eta: 6:28:27, time: 0.292, data_time: 0.015, memory: 19750, decode.loss_ce: 3.7067, decode.acc_seg: 12.7455, loss: 3.7067 +2023-03-04 17:41:47,394 - mmseg - INFO - Iter [100/80000] lr: 1.485e-05, eta: 5:10:01, time: 0.174, data_time: 0.007, memory: 19750, decode.loss_ce: 2.8377, decode.acc_seg: 33.7928, loss: 2.8377 +2023-03-04 17:41:55,953 - mmseg - INFO - Iter [150/80000] lr: 2.235e-05, eta: 4:42:29, time: 0.171, data_time: 0.007, memory: 19750, decode.loss_ce: 2.2951, decode.acc_seg: 45.9183, loss: 2.2951 +2023-03-04 17:42:04,387 - mmseg - INFO - Iter [200/80000] lr: 2.985e-05, eta: 4:27:49, time: 0.169, data_time: 0.006, memory: 19750, decode.loss_ce: 1.8720, decode.acc_seg: 55.4342, loss: 1.8720 +2023-03-04 17:42:12,771 - mmseg - INFO - Iter [250/80000] lr: 3.735e-05, eta: 4:18:41, time: 0.168, data_time: 0.006, memory: 19750, decode.loss_ce: 1.5865, decode.acc_seg: 61.1137, loss: 1.5865 +2023-03-04 17:42:21,256 - mmseg - INFO - Iter [300/80000] lr: 4.485e-05, eta: 4:12:58, time: 0.170, data_time: 0.006, memory: 19750, decode.loss_ce: 1.2947, decode.acc_seg: 67.7891, loss: 1.2947 +2023-03-04 17:42:29,693 - mmseg - INFO - Iter [350/80000] lr: 5.235e-05, eta: 4:08:43, time: 0.169, data_time: 0.007, memory: 19750, decode.loss_ce: 1.1761, decode.acc_seg: 69.6866, loss: 1.1761 +2023-03-04 17:42:38,021 - mmseg - INFO - Iter [400/80000] lr: 5.985e-05, eta: 4:05:07, time: 0.167, data_time: 0.006, memory: 19750, decode.loss_ce: 1.0405, decode.acc_seg: 72.4620, loss: 1.0405 +2023-03-04 17:42:46,266 - mmseg - INFO - Iter [450/80000] lr: 6.735e-05, eta: 4:02:02, time: 0.165, data_time: 0.007, memory: 19750, decode.loss_ce: 0.9029, decode.acc_seg: 73.9512, loss: 0.9029 +2023-03-04 17:42:54,644 - mmseg - INFO - Iter [500/80000] lr: 7.485e-05, eta: 3:59:54, time: 0.168, data_time: 0.007, memory: 19750, decode.loss_ce: 0.8425, decode.acc_seg: 75.0831, loss: 0.8425 +2023-03-04 17:43:03,204 - mmseg - INFO - Iter [550/80000] lr: 8.235e-05, eta: 3:58:32, time: 0.171, data_time: 0.007, memory: 19750, decode.loss_ce: 0.7289, decode.acc_seg: 77.3203, loss: 0.7289 +2023-03-04 17:43:11,492 - mmseg - INFO - Iter [600/80000] lr: 8.985e-05, eta: 3:56:49, time: 0.166, data_time: 0.007, memory: 19750, decode.loss_ce: 0.7088, decode.acc_seg: 77.5648, loss: 0.7088 +2023-03-04 17:43:22,186 - mmseg - INFO - Iter [650/80000] lr: 9.735e-05, eta: 4:00:13, time: 0.214, data_time: 0.054, memory: 19750, decode.loss_ce: 0.7057, decode.acc_seg: 77.2875, loss: 0.7057 +2023-03-04 17:43:30,370 - mmseg - INFO - Iter [700/80000] lr: 1.049e-04, eta: 3:58:22, time: 0.164, data_time: 0.007, memory: 19750, decode.loss_ce: 0.6063, decode.acc_seg: 79.7392, loss: 0.6063 +2023-03-04 17:43:38,468 - mmseg - INFO - Iter [750/80000] lr: 1.124e-04, eta: 3:56:36, time: 0.162, data_time: 0.007, memory: 19750, decode.loss_ce: 0.5983, decode.acc_seg: 79.6223, loss: 0.5983 +2023-03-04 17:43:46,872 - mmseg - INFO - Iter [800/80000] lr: 1.199e-04, eta: 3:55:32, time: 0.168, data_time: 0.007, memory: 19750, decode.loss_ce: 0.6085, decode.acc_seg: 79.3720, loss: 0.6085 +2023-03-04 17:43:55,652 - mmseg - INFO - Iter [850/80000] lr: 1.274e-04, eta: 3:55:10, time: 0.176, data_time: 0.007, memory: 19750, decode.loss_ce: 0.5524, decode.acc_seg: 80.7622, loss: 0.5524 +2023-03-04 17:44:04,181 - mmseg - INFO - Iter [900/80000] lr: 1.349e-04, eta: 3:54:27, time: 0.171, data_time: 0.007, memory: 19750, decode.loss_ce: 0.5195, decode.acc_seg: 81.8791, loss: 0.5195 +2023-03-04 17:44:12,470 - mmseg - INFO - Iter [950/80000] lr: 1.424e-04, eta: 3:53:28, time: 0.166, data_time: 0.007, memory: 19750, decode.loss_ce: 0.5824, decode.acc_seg: 80.0942, loss: 0.5824 +2023-03-04 17:44:20,940 - mmseg - INFO - Exp name: ablation_segformer_mit_b2_segformer_head_unet_fc_single_step_ade_pretrained_freeze_embed_80k_ade20k151_logits.py +2023-03-04 17:44:20,940 - mmseg - INFO - Iter [1000/80000] lr: 1.499e-04, eta: 3:52:48, time: 0.169, data_time: 0.007, memory: 19750, decode.loss_ce: 0.5004, decode.acc_seg: 82.3555, loss: 0.5004 +2023-03-04 17:44:29,434 - mmseg - INFO - Iter [1050/80000] lr: 1.500e-04, eta: 3:52:13, time: 0.170, data_time: 0.007, memory: 19750, decode.loss_ce: 0.5678, decode.acc_seg: 80.5865, loss: 0.5678 +2023-03-04 17:44:37,635 - mmseg - INFO - Iter [1100/80000] lr: 1.500e-04, eta: 3:51:20, time: 0.164, data_time: 0.007, memory: 19750, decode.loss_ce: 0.4944, decode.acc_seg: 82.7006, loss: 0.4944 +2023-03-04 17:44:45,888 - mmseg - INFO - Iter [1150/80000] lr: 1.500e-04, eta: 3:50:34, time: 0.165, data_time: 0.007, memory: 19750, decode.loss_ce: 0.5138, decode.acc_seg: 82.0025, loss: 0.5138 +2023-03-04 17:44:54,576 - mmseg - INFO - Iter [1200/80000] lr: 1.500e-04, eta: 3:50:19, time: 0.174, data_time: 0.007, memory: 19750, decode.loss_ce: 0.5015, decode.acc_seg: 82.4690, loss: 0.5015 +2023-03-04 17:45:02,960 - mmseg - INFO - Iter [1250/80000] lr: 1.500e-04, eta: 3:49:46, time: 0.168, data_time: 0.007, memory: 19750, decode.loss_ce: 0.4756, decode.acc_seg: 83.0932, loss: 0.4756 +2023-03-04 17:45:14,473 - mmseg - INFO - Iter [1300/80000] lr: 1.500e-04, eta: 3:52:25, time: 0.230, data_time: 0.058, memory: 19750, decode.loss_ce: 0.4762, decode.acc_seg: 83.2476, loss: 0.4762 +2023-03-04 17:45:23,070 - mmseg - INFO - Iter [1350/80000] lr: 1.500e-04, eta: 3:52:00, time: 0.172, data_time: 0.006, memory: 19750, decode.loss_ce: 0.4435, decode.acc_seg: 84.0603, loss: 0.4435 +2023-03-04 17:45:31,298 - mmseg - INFO - Iter [1400/80000] lr: 1.500e-04, eta: 3:51:17, time: 0.165, data_time: 0.007, memory: 19750, decode.loss_ce: 0.4708, decode.acc_seg: 83.0864, loss: 0.4708 +2023-03-04 17:45:39,664 - mmseg - INFO - Iter [1450/80000] lr: 1.500e-04, eta: 3:50:43, time: 0.167, data_time: 0.006, memory: 19750, decode.loss_ce: 0.4864, decode.acc_seg: 83.0124, loss: 0.4864 +2023-03-04 17:45:47,891 - mmseg - INFO - Iter [1500/80000] lr: 1.500e-04, eta: 3:50:03, time: 0.165, data_time: 0.007, memory: 19750, decode.loss_ce: 0.4173, decode.acc_seg: 84.9140, loss: 0.4173 +2023-03-04 17:45:56,141 - mmseg - INFO - Iter [1550/80000] lr: 1.500e-04, eta: 3:49:27, time: 0.165, data_time: 0.007, memory: 19750, decode.loss_ce: 0.4383, decode.acc_seg: 84.3010, loss: 0.4383 +2023-03-04 17:46:04,379 - mmseg - INFO - Iter [1600/80000] lr: 1.500e-04, eta: 3:48:52, time: 0.165, data_time: 0.007, memory: 19750, decode.loss_ce: 0.4218, decode.acc_seg: 84.6036, loss: 0.4218 +2023-03-04 17:46:13,148 - mmseg - INFO - Iter [1650/80000] lr: 1.500e-04, eta: 3:48:44, time: 0.175, data_time: 0.007, memory: 19750, decode.loss_ce: 0.4423, decode.acc_seg: 84.1087, loss: 0.4423 +2023-03-04 17:46:21,416 - mmseg - INFO - Iter [1700/80000] lr: 1.500e-04, eta: 3:48:12, time: 0.165, data_time: 0.007, memory: 19750, decode.loss_ce: 0.4231, decode.acc_seg: 84.6961, loss: 0.4231 +2023-03-04 17:46:29,929 - mmseg - INFO - Iter [1750/80000] lr: 1.500e-04, eta: 3:47:53, time: 0.170, data_time: 0.006, memory: 19750, decode.loss_ce: 0.4006, decode.acc_seg: 85.2823, loss: 0.4006 +2023-03-04 17:46:38,580 - mmseg - INFO - Iter [1800/80000] lr: 1.500e-04, eta: 3:47:41, time: 0.173, data_time: 0.007, memory: 19750, decode.loss_ce: 0.4438, decode.acc_seg: 84.2487, loss: 0.4438 +2023-03-04 17:46:46,846 - mmseg - INFO - Iter [1850/80000] lr: 1.500e-04, eta: 3:47:12, time: 0.165, data_time: 0.007, memory: 19750, decode.loss_ce: 0.3896, decode.acc_seg: 85.7313, loss: 0.3896 +2023-03-04 17:46:57,796 - mmseg - INFO - Iter [1900/80000] lr: 1.500e-04, eta: 3:48:35, time: 0.219, data_time: 0.054, memory: 19750, decode.loss_ce: 0.4073, decode.acc_seg: 85.2914, loss: 0.4073 +2023-03-04 17:47:06,005 - mmseg - INFO - Iter [1950/80000] lr: 1.500e-04, eta: 3:48:03, time: 0.164, data_time: 0.007, memory: 19750, decode.loss_ce: 0.4031, decode.acc_seg: 85.3779, loss: 0.4031 +2023-03-04 17:47:14,326 - mmseg - INFO - Exp name: ablation_segformer_mit_b2_segformer_head_unet_fc_single_step_ade_pretrained_freeze_embed_80k_ade20k151_logits.py +2023-03-04 17:47:14,326 - mmseg - INFO - Iter [2000/80000] lr: 1.500e-04, eta: 3:47:37, time: 0.166, data_time: 0.007, memory: 19750, decode.loss_ce: 0.3931, decode.acc_seg: 85.6631, loss: 0.3931 +2023-03-04 17:47:22,812 - mmseg - INFO - Iter [2050/80000] lr: 1.500e-04, eta: 3:47:18, time: 0.170, data_time: 0.007, memory: 19750, decode.loss_ce: 0.3710, decode.acc_seg: 86.2932, loss: 0.3710 +2023-03-04 17:47:31,149 - mmseg - INFO - Iter [2100/80000] lr: 1.500e-04, eta: 3:46:54, time: 0.167, data_time: 0.007, memory: 19750, decode.loss_ce: 0.4126, decode.acc_seg: 84.8069, loss: 0.4126 +2023-03-04 17:47:39,535 - mmseg - INFO - Iter [2150/80000] lr: 1.500e-04, eta: 3:46:33, time: 0.168, data_time: 0.007, memory: 19750, decode.loss_ce: 0.3724, decode.acc_seg: 85.9416, loss: 0.3724 +2023-03-04 17:47:47,788 - mmseg - INFO - Iter [2200/80000] lr: 1.500e-04, eta: 3:46:07, time: 0.165, data_time: 0.007, memory: 19750, decode.loss_ce: 0.3642, decode.acc_seg: 86.2829, loss: 0.3642 +2023-03-04 17:47:56,026 - mmseg - INFO - Iter [2250/80000] lr: 1.500e-04, eta: 3:45:42, time: 0.165, data_time: 0.007, memory: 19750, decode.loss_ce: 0.3770, decode.acc_seg: 86.2560, loss: 0.3770 +2023-03-04 17:48:04,540 - mmseg - INFO - Iter [2300/80000] lr: 1.500e-04, eta: 3:45:26, time: 0.170, data_time: 0.007, memory: 19750, decode.loss_ce: 0.3861, decode.acc_seg: 85.8316, loss: 0.3861 +2023-03-04 17:48:12,763 - mmseg - INFO - Iter [2350/80000] lr: 1.500e-04, eta: 3:45:02, time: 0.164, data_time: 0.007, memory: 19750, decode.loss_ce: 0.3638, decode.acc_seg: 86.4444, loss: 0.3638 +2023-03-04 17:48:21,178 - mmseg - INFO - Iter [2400/80000] lr: 1.500e-04, eta: 3:44:44, time: 0.168, data_time: 0.007, memory: 19750, decode.loss_ce: 0.3779, decode.acc_seg: 85.8464, loss: 0.3779 +2023-03-04 17:48:29,637 - mmseg - INFO - Iter [2450/80000] lr: 1.500e-04, eta: 3:44:28, time: 0.169, data_time: 0.007, memory: 19750, decode.loss_ce: 0.3843, decode.acc_seg: 85.9641, loss: 0.3843 +2023-03-04 17:48:38,526 - mmseg - INFO - Iter [2500/80000] lr: 1.500e-04, eta: 3:44:26, time: 0.178, data_time: 0.008, memory: 19750, decode.loss_ce: 0.3918, decode.acc_seg: 85.5628, loss: 0.3918 +2023-03-04 17:48:49,254 - mmseg - INFO - Iter [2550/80000] lr: 1.500e-04, eta: 3:45:19, time: 0.215, data_time: 0.054, memory: 19750, decode.loss_ce: 0.3811, decode.acc_seg: 86.0961, loss: 0.3811 +2023-03-04 17:48:57,420 - mmseg - INFO - Iter [2600/80000] lr: 1.500e-04, eta: 3:44:54, time: 0.163, data_time: 0.007, memory: 19750, decode.loss_ce: 0.3629, decode.acc_seg: 86.3370, loss: 0.3629 +2023-03-04 17:49:05,776 - mmseg - INFO - Iter [2650/80000] lr: 1.500e-04, eta: 3:44:34, time: 0.167, data_time: 0.007, memory: 19750, decode.loss_ce: 0.3549, decode.acc_seg: 86.5272, loss: 0.3549 +2023-03-04 17:49:14,147 - mmseg - INFO - Iter [2700/80000] lr: 1.500e-04, eta: 3:44:16, time: 0.168, data_time: 0.007, memory: 19750, decode.loss_ce: 0.3417, decode.acc_seg: 86.9315, loss: 0.3417 +2023-03-04 17:49:22,806 - mmseg - INFO - Iter [2750/80000] lr: 1.500e-04, eta: 3:44:06, time: 0.173, data_time: 0.008, memory: 19750, decode.loss_ce: 0.3670, decode.acc_seg: 86.2587, loss: 0.3670 +2023-03-04 17:49:31,271 - mmseg - INFO - Iter [2800/80000] lr: 1.500e-04, eta: 3:43:50, time: 0.169, data_time: 0.007, memory: 19750, decode.loss_ce: 0.3454, decode.acc_seg: 87.1267, loss: 0.3454 +2023-03-04 17:49:40,036 - mmseg - INFO - Iter [2850/80000] lr: 1.500e-04, eta: 3:43:44, time: 0.175, data_time: 0.007, memory: 19750, decode.loss_ce: 0.3389, decode.acc_seg: 86.9478, loss: 0.3389 +2023-03-04 17:49:48,288 - mmseg - INFO - Iter [2900/80000] lr: 1.500e-04, eta: 3:43:23, time: 0.165, data_time: 0.007, memory: 19750, decode.loss_ce: 0.3724, decode.acc_seg: 86.1858, loss: 0.3724 +2023-03-04 17:49:56,764 - mmseg - INFO - Iter [2950/80000] lr: 1.500e-04, eta: 3:43:09, time: 0.170, data_time: 0.007, memory: 19750, decode.loss_ce: 0.3525, decode.acc_seg: 86.6987, loss: 0.3525 +2023-03-04 17:50:05,213 - mmseg - INFO - Exp name: ablation_segformer_mit_b2_segformer_head_unet_fc_single_step_ade_pretrained_freeze_embed_80k_ade20k151_logits.py +2023-03-04 17:50:05,214 - mmseg - INFO - Iter [3000/80000] lr: 1.500e-04, eta: 3:42:54, time: 0.169, data_time: 0.007, memory: 19750, decode.loss_ce: 0.3591, decode.acc_seg: 86.6925, loss: 0.3591 +2023-03-04 17:50:13,840 - mmseg - INFO - Iter [3050/80000] lr: 1.500e-04, eta: 3:42:44, time: 0.173, data_time: 0.007, memory: 19750, decode.loss_ce: 0.3479, decode.acc_seg: 86.9902, loss: 0.3479 +2023-03-04 17:50:21,936 - mmseg - INFO - Iter [3100/80000] lr: 1.500e-04, eta: 3:42:20, time: 0.162, data_time: 0.007, memory: 19750, decode.loss_ce: 0.3334, decode.acc_seg: 87.3112, loss: 0.3334 +2023-03-04 17:50:30,420 - mmseg - INFO - Iter [3150/80000] lr: 1.500e-04, eta: 3:42:07, time: 0.170, data_time: 0.008, memory: 19750, decode.loss_ce: 0.3405, decode.acc_seg: 87.3015, loss: 0.3405 +2023-03-04 17:50:41,134 - mmseg - INFO - Iter [3200/80000] lr: 1.500e-04, eta: 3:42:47, time: 0.214, data_time: 0.054, memory: 19750, decode.loss_ce: 0.3656, decode.acc_seg: 86.3573, loss: 0.3656 +2023-03-04 17:50:49,692 - mmseg - INFO - Iter [3250/80000] lr: 1.500e-04, eta: 3:42:35, time: 0.171, data_time: 0.007, memory: 19750, decode.loss_ce: 0.3158, decode.acc_seg: 88.1145, loss: 0.3158 +2023-03-04 17:50:58,104 - mmseg - INFO - Iter [3300/80000] lr: 1.500e-04, eta: 3:42:20, time: 0.168, data_time: 0.007, memory: 19750, decode.loss_ce: 0.3687, decode.acc_seg: 86.3116, loss: 0.3687 +2023-03-04 17:51:06,700 - mmseg - INFO - Iter [3350/80000] lr: 1.500e-04, eta: 3:42:09, time: 0.172, data_time: 0.007, memory: 19750, decode.loss_ce: 0.3404, decode.acc_seg: 87.0685, loss: 0.3404 +2023-03-04 17:51:15,569 - mmseg - INFO - Iter [3400/80000] lr: 1.500e-04, eta: 3:42:04, time: 0.177, data_time: 0.008, memory: 19750, decode.loss_ce: 0.3338, decode.acc_seg: 87.2902, loss: 0.3338 +2023-03-04 17:51:23,979 - mmseg - INFO - Iter [3450/80000] lr: 1.500e-04, eta: 3:41:49, time: 0.168, data_time: 0.007, memory: 19750, decode.loss_ce: 0.3392, decode.acc_seg: 86.9704, loss: 0.3392 +2023-03-04 17:51:32,467 - mmseg - INFO - Iter [3500/80000] lr: 1.500e-04, eta: 3:41:36, time: 0.170, data_time: 0.007, memory: 19750, decode.loss_ce: 0.3338, decode.acc_seg: 87.1070, loss: 0.3338 +2023-03-04 17:51:41,010 - mmseg - INFO - Iter [3550/80000] lr: 1.500e-04, eta: 3:41:24, time: 0.171, data_time: 0.007, memory: 19750, decode.loss_ce: 0.3286, decode.acc_seg: 87.4822, loss: 0.3286 +2023-03-04 17:51:49,707 - mmseg - INFO - Iter [3600/80000] lr: 1.500e-04, eta: 3:41:16, time: 0.174, data_time: 0.007, memory: 19750, decode.loss_ce: 0.3460, decode.acc_seg: 86.5224, loss: 0.3460 +2023-03-04 17:51:58,429 - mmseg - INFO - Iter [3650/80000] lr: 1.500e-04, eta: 3:41:07, time: 0.174, data_time: 0.006, memory: 19750, decode.loss_ce: 0.3420, decode.acc_seg: 87.0248, loss: 0.3420 +2023-03-04 17:52:07,094 - mmseg - INFO - Iter [3700/80000] lr: 1.500e-04, eta: 3:40:58, time: 0.173, data_time: 0.007, memory: 19750, decode.loss_ce: 0.3416, decode.acc_seg: 87.1649, loss: 0.3416 +2023-03-04 17:52:15,516 - mmseg - INFO - Iter [3750/80000] lr: 1.500e-04, eta: 3:40:44, time: 0.168, data_time: 0.007, memory: 19750, decode.loss_ce: 0.3495, decode.acc_seg: 86.8175, loss: 0.3495 +2023-03-04 17:52:26,221 - mmseg - INFO - Iter [3800/80000] lr: 1.500e-04, eta: 3:41:16, time: 0.214, data_time: 0.053, memory: 19750, decode.loss_ce: 0.3411, decode.acc_seg: 87.0386, loss: 0.3411 +2023-03-04 17:52:34,652 - mmseg - INFO - Iter [3850/80000] lr: 1.500e-04, eta: 3:41:02, time: 0.169, data_time: 0.007, memory: 19750, decode.loss_ce: 0.3444, decode.acc_seg: 86.9819, loss: 0.3444 +2023-03-04 17:52:43,178 - mmseg - INFO - Iter [3900/80000] lr: 1.500e-04, eta: 3:40:49, time: 0.171, data_time: 0.006, memory: 19750, decode.loss_ce: 0.3237, decode.acc_seg: 87.6071, loss: 0.3237 +2023-03-04 17:52:51,539 - mmseg - INFO - Iter [3950/80000] lr: 1.500e-04, eta: 3:40:34, time: 0.167, data_time: 0.006, memory: 19750, decode.loss_ce: 0.3426, decode.acc_seg: 87.0679, loss: 0.3426 +2023-03-04 17:53:00,046 - mmseg - INFO - Exp name: ablation_segformer_mit_b2_segformer_head_unet_fc_single_step_ade_pretrained_freeze_embed_80k_ade20k151_logits.py +2023-03-04 17:53:00,046 - mmseg - INFO - Iter [4000/80000] lr: 1.500e-04, eta: 3:40:22, time: 0.170, data_time: 0.007, memory: 19750, decode.loss_ce: 0.3375, decode.acc_seg: 86.8639, loss: 0.3375 +2023-03-04 17:53:08,574 - mmseg - INFO - Iter [4050/80000] lr: 1.500e-04, eta: 3:40:10, time: 0.171, data_time: 0.008, memory: 19750, decode.loss_ce: 0.3216, decode.acc_seg: 87.7530, loss: 0.3216 +2023-03-04 17:53:16,918 - mmseg - INFO - Iter [4100/80000] lr: 1.500e-04, eta: 3:39:54, time: 0.167, data_time: 0.007, memory: 19750, decode.loss_ce: 0.3328, decode.acc_seg: 87.0733, loss: 0.3328 +2023-03-04 17:53:25,443 - mmseg - INFO - Iter [4150/80000] lr: 1.500e-04, eta: 3:39:43, time: 0.170, data_time: 0.007, memory: 19750, decode.loss_ce: 0.2983, decode.acc_seg: 88.3308, loss: 0.2983 +2023-03-04 17:53:34,240 - mmseg - INFO - Iter [4200/80000] lr: 1.500e-04, eta: 3:39:36, time: 0.176, data_time: 0.007, memory: 19750, decode.loss_ce: 0.3121, decode.acc_seg: 88.0459, loss: 0.3121 +2023-03-04 17:53:42,513 - mmseg - INFO - Iter [4250/80000] lr: 1.500e-04, eta: 3:39:20, time: 0.165, data_time: 0.007, memory: 19750, decode.loss_ce: 0.3334, decode.acc_seg: 87.2530, loss: 0.3334 +2023-03-04 17:53:50,960 - mmseg - INFO - Iter [4300/80000] lr: 1.500e-04, eta: 3:39:07, time: 0.169, data_time: 0.007, memory: 19750, decode.loss_ce: 0.3227, decode.acc_seg: 87.6320, loss: 0.3227 +2023-03-04 17:53:59,654 - mmseg - INFO - Iter [4350/80000] lr: 1.500e-04, eta: 3:38:58, time: 0.174, data_time: 0.007, memory: 19750, decode.loss_ce: 0.3294, decode.acc_seg: 87.4896, loss: 0.3294 +2023-03-04 17:54:08,373 - mmseg - INFO - Iter [4400/80000] lr: 1.500e-04, eta: 3:38:50, time: 0.174, data_time: 0.007, memory: 19750, decode.loss_ce: 0.3007, decode.acc_seg: 88.4320, loss: 0.3007 +2023-03-04 17:54:19,332 - mmseg - INFO - Iter [4450/80000] lr: 1.500e-04, eta: 3:39:20, time: 0.219, data_time: 0.055, memory: 19750, decode.loss_ce: 0.3360, decode.acc_seg: 87.2233, loss: 0.3360 +2023-03-04 17:54:27,928 - mmseg - INFO - Iter [4500/80000] lr: 1.500e-04, eta: 3:39:10, time: 0.172, data_time: 0.007, memory: 19750, decode.loss_ce: 0.3455, decode.acc_seg: 86.7218, loss: 0.3455 +2023-03-04 17:54:36,130 - mmseg - INFO - Iter [4550/80000] lr: 1.500e-04, eta: 3:38:53, time: 0.164, data_time: 0.006, memory: 19750, decode.loss_ce: 0.3248, decode.acc_seg: 87.5538, loss: 0.3248 +2023-03-04 17:54:44,482 - mmseg - INFO - Iter [4600/80000] lr: 1.500e-04, eta: 3:38:38, time: 0.167, data_time: 0.006, memory: 19750, decode.loss_ce: 0.3231, decode.acc_seg: 87.6441, loss: 0.3231 +2023-03-04 17:54:53,571 - mmseg - INFO - Iter [4650/80000] lr: 1.500e-04, eta: 3:38:36, time: 0.182, data_time: 0.006, memory: 19750, decode.loss_ce: 0.3115, decode.acc_seg: 87.9987, loss: 0.3115 +2023-03-04 17:55:02,139 - mmseg - INFO - Iter [4700/80000] lr: 1.500e-04, eta: 3:38:25, time: 0.171, data_time: 0.006, memory: 19750, decode.loss_ce: 0.3110, decode.acc_seg: 87.9252, loss: 0.3110 +2023-03-04 17:55:10,653 - mmseg - INFO - Iter [4750/80000] lr: 1.500e-04, eta: 3:38:13, time: 0.170, data_time: 0.007, memory: 19750, decode.loss_ce: 0.3146, decode.acc_seg: 87.9460, loss: 0.3146 +2023-03-04 17:55:19,173 - mmseg - INFO - Iter [4800/80000] lr: 1.500e-04, eta: 3:38:02, time: 0.170, data_time: 0.006, memory: 19750, decode.loss_ce: 0.3292, decode.acc_seg: 87.3476, loss: 0.3292 +2023-03-04 17:55:27,469 - mmseg - INFO - Iter [4850/80000] lr: 1.500e-04, eta: 3:37:47, time: 0.166, data_time: 0.006, memory: 19750, decode.loss_ce: 0.3118, decode.acc_seg: 87.8422, loss: 0.3118 +2023-03-04 17:55:36,037 - mmseg - INFO - Iter [4900/80000] lr: 1.500e-04, eta: 3:37:36, time: 0.171, data_time: 0.006, memory: 19750, decode.loss_ce: 0.2962, decode.acc_seg: 88.3332, loss: 0.2962 +2023-03-04 17:55:44,362 - mmseg - INFO - Iter [4950/80000] lr: 1.500e-04, eta: 3:37:22, time: 0.167, data_time: 0.007, memory: 19750, decode.loss_ce: 0.3175, decode.acc_seg: 87.6346, loss: 0.3175 +2023-03-04 17:55:53,160 - mmseg - INFO - Exp name: ablation_segformer_mit_b2_segformer_head_unet_fc_single_step_ade_pretrained_freeze_embed_80k_ade20k151_logits.py +2023-03-04 17:55:53,160 - mmseg - INFO - Iter [5000/80000] lr: 1.500e-04, eta: 3:37:15, time: 0.176, data_time: 0.006, memory: 19750, decode.loss_ce: 0.3071, decode.acc_seg: 88.2463, loss: 0.3071 +2023-03-04 17:56:04,141 - mmseg - INFO - Iter [5050/80000] lr: 1.500e-04, eta: 3:37:40, time: 0.220, data_time: 0.055, memory: 19750, decode.loss_ce: 0.2970, decode.acc_seg: 88.5397, loss: 0.2970 +2023-03-04 17:56:12,404 - mmseg - INFO - Iter [5100/80000] lr: 1.500e-04, eta: 3:37:25, time: 0.165, data_time: 0.006, memory: 19750, decode.loss_ce: 0.3081, decode.acc_seg: 88.0177, loss: 0.3081 +2023-03-04 17:56:20,938 - mmseg - INFO - Iter [5150/80000] lr: 1.500e-04, eta: 3:37:13, time: 0.171, data_time: 0.006, memory: 19750, decode.loss_ce: 0.3155, decode.acc_seg: 88.0889, loss: 0.3155 +2023-03-04 17:56:29,117 - mmseg - INFO - Iter [5200/80000] lr: 1.500e-04, eta: 3:36:57, time: 0.164, data_time: 0.006, memory: 19750, decode.loss_ce: 0.2982, decode.acc_seg: 88.4193, loss: 0.2982 +2023-03-04 17:56:37,766 - mmseg - INFO - Iter [5250/80000] lr: 1.500e-04, eta: 3:36:48, time: 0.173, data_time: 0.007, memory: 19750, decode.loss_ce: 0.2976, decode.acc_seg: 88.1717, loss: 0.2976 +2023-03-04 17:56:46,542 - mmseg - INFO - Iter [5300/80000] lr: 1.500e-04, eta: 3:36:40, time: 0.176, data_time: 0.006, memory: 19750, decode.loss_ce: 0.3143, decode.acc_seg: 87.9674, loss: 0.3143 +2023-03-04 17:56:54,749 - mmseg - INFO - Iter [5350/80000] lr: 1.500e-04, eta: 3:36:24, time: 0.164, data_time: 0.006, memory: 19750, decode.loss_ce: 0.3181, decode.acc_seg: 87.8943, loss: 0.3181 +2023-03-04 17:57:02,957 - mmseg - INFO - Iter [5400/80000] lr: 1.500e-04, eta: 3:36:09, time: 0.164, data_time: 0.006, memory: 19750, decode.loss_ce: 0.3217, decode.acc_seg: 87.4080, loss: 0.3217 +2023-03-04 17:57:11,173 - mmseg - INFO - Iter [5450/80000] lr: 1.500e-04, eta: 3:35:54, time: 0.164, data_time: 0.006, memory: 19750, decode.loss_ce: 0.2996, decode.acc_seg: 88.1262, loss: 0.2996 +2023-03-04 17:57:19,609 - mmseg - INFO - Iter [5500/80000] lr: 1.500e-04, eta: 3:35:42, time: 0.169, data_time: 0.006, memory: 19750, decode.loss_ce: 0.2922, decode.acc_seg: 88.4956, loss: 0.2922 +2023-03-04 17:57:28,220 - mmseg - INFO - Iter [5550/80000] lr: 1.500e-04, eta: 3:35:32, time: 0.172, data_time: 0.006, memory: 19750, decode.loss_ce: 0.3230, decode.acc_seg: 87.6716, loss: 0.3230 +2023-03-04 17:57:36,822 - mmseg - INFO - Iter [5600/80000] lr: 1.500e-04, eta: 3:35:22, time: 0.172, data_time: 0.007, memory: 19750, decode.loss_ce: 0.3073, decode.acc_seg: 88.0834, loss: 0.3073 +2023-03-04 17:57:45,406 - mmseg - INFO - Iter [5650/80000] lr: 1.500e-04, eta: 3:35:12, time: 0.172, data_time: 0.006, memory: 19750, decode.loss_ce: 0.3175, decode.acc_seg: 87.7463, loss: 0.3175 +2023-03-04 17:57:56,548 - mmseg - INFO - Iter [5700/80000] lr: 1.500e-04, eta: 3:35:35, time: 0.223, data_time: 0.052, memory: 19750, decode.loss_ce: 0.2968, decode.acc_seg: 88.3348, loss: 0.2968 +2023-03-04 17:58:04,980 - mmseg - INFO - Iter [5750/80000] lr: 1.500e-04, eta: 3:35:23, time: 0.169, data_time: 0.006, memory: 19750, decode.loss_ce: 0.2844, decode.acc_seg: 88.7980, loss: 0.2844 +2023-03-04 17:58:13,380 - mmseg - INFO - Iter [5800/80000] lr: 1.500e-04, eta: 3:35:11, time: 0.168, data_time: 0.006, memory: 19750, decode.loss_ce: 0.3040, decode.acc_seg: 88.1252, loss: 0.3040 +2023-03-04 17:58:21,652 - mmseg - INFO - Iter [5850/80000] lr: 1.500e-04, eta: 3:34:56, time: 0.165, data_time: 0.006, memory: 19750, decode.loss_ce: 0.3058, decode.acc_seg: 87.9768, loss: 0.3058 +2023-03-04 17:58:29,909 - mmseg - INFO - Iter [5900/80000] lr: 1.500e-04, eta: 3:34:42, time: 0.165, data_time: 0.007, memory: 19750, decode.loss_ce: 0.2951, decode.acc_seg: 88.4661, loss: 0.2951 +2023-03-04 17:58:38,454 - mmseg - INFO - Iter [5950/80000] lr: 1.500e-04, eta: 3:34:32, time: 0.171, data_time: 0.006, memory: 19750, decode.loss_ce: 0.3126, decode.acc_seg: 87.9221, loss: 0.3126 +2023-03-04 17:58:46,946 - mmseg - INFO - Exp name: ablation_segformer_mit_b2_segformer_head_unet_fc_single_step_ade_pretrained_freeze_embed_80k_ade20k151_logits.py +2023-03-04 17:58:46,946 - mmseg - INFO - Iter [6000/80000] lr: 1.500e-04, eta: 3:34:21, time: 0.170, data_time: 0.007, memory: 19750, decode.loss_ce: 0.2954, decode.acc_seg: 88.3508, loss: 0.2954 +2023-03-04 17:58:55,253 - mmseg - INFO - Iter [6050/80000] lr: 1.500e-04, eta: 3:34:07, time: 0.166, data_time: 0.006, memory: 19750, decode.loss_ce: 0.2843, decode.acc_seg: 88.9313, loss: 0.2843 +2023-03-04 17:59:03,696 - mmseg - INFO - Iter [6100/80000] lr: 1.500e-04, eta: 3:33:56, time: 0.169, data_time: 0.007, memory: 19750, decode.loss_ce: 0.3045, decode.acc_seg: 88.1910, loss: 0.3045 +2023-03-04 17:59:11,984 - mmseg - INFO - Iter [6150/80000] lr: 1.500e-04, eta: 3:33:42, time: 0.166, data_time: 0.006, memory: 19750, decode.loss_ce: 0.3019, decode.acc_seg: 88.2915, loss: 0.3019 +2023-03-04 17:59:20,487 - mmseg - INFO - Iter [6200/80000] lr: 1.500e-04, eta: 3:33:31, time: 0.170, data_time: 0.007, memory: 19750, decode.loss_ce: 0.3036, decode.acc_seg: 88.2083, loss: 0.3036 +2023-03-04 17:59:28,642 - mmseg - INFO - Iter [6250/80000] lr: 1.500e-04, eta: 3:33:16, time: 0.163, data_time: 0.006, memory: 19750, decode.loss_ce: 0.3080, decode.acc_seg: 88.0490, loss: 0.3080 +2023-03-04 17:59:36,946 - mmseg - INFO - Iter [6300/80000] lr: 1.500e-04, eta: 3:33:03, time: 0.166, data_time: 0.007, memory: 19750, decode.loss_ce: 0.3082, decode.acc_seg: 88.2989, loss: 0.3082 +2023-03-04 17:59:47,840 - mmseg - INFO - Iter [6350/80000] lr: 1.500e-04, eta: 3:33:20, time: 0.218, data_time: 0.055, memory: 19750, decode.loss_ce: 0.3088, decode.acc_seg: 87.9223, loss: 0.3088 +2023-03-04 17:59:56,731 - mmseg - INFO - Iter [6400/80000] lr: 1.500e-04, eta: 3:33:14, time: 0.178, data_time: 0.006, memory: 19750, decode.loss_ce: 0.3034, decode.acc_seg: 88.0836, loss: 0.3034 +2023-03-04 18:00:04,910 - mmseg - INFO - Iter [6450/80000] lr: 1.500e-04, eta: 3:33:00, time: 0.164, data_time: 0.007, memory: 19750, decode.loss_ce: 0.2816, decode.acc_seg: 88.8801, loss: 0.2816 +2023-03-04 18:00:13,484 - mmseg - INFO - Iter [6500/80000] lr: 1.500e-04, eta: 3:32:50, time: 0.171, data_time: 0.006, memory: 19750, decode.loss_ce: 0.2940, decode.acc_seg: 88.4933, loss: 0.2940 +2023-03-04 18:00:22,054 - mmseg - INFO - Iter [6550/80000] lr: 1.500e-04, eta: 3:32:40, time: 0.171, data_time: 0.006, memory: 19750, decode.loss_ce: 0.2955, decode.acc_seg: 88.5547, loss: 0.2955 +2023-03-04 18:00:30,224 - mmseg - INFO - Iter [6600/80000] lr: 1.500e-04, eta: 3:32:25, time: 0.163, data_time: 0.007, memory: 19750, decode.loss_ce: 0.3210, decode.acc_seg: 87.7406, loss: 0.3210 +2023-03-04 18:00:38,952 - mmseg - INFO - Iter [6650/80000] lr: 1.500e-04, eta: 3:32:17, time: 0.174, data_time: 0.006, memory: 19750, decode.loss_ce: 0.3126, decode.acc_seg: 87.8520, loss: 0.3126 +2023-03-04 18:00:47,215 - mmseg - INFO - Iter [6700/80000] lr: 1.500e-04, eta: 3:32:04, time: 0.165, data_time: 0.007, memory: 19750, decode.loss_ce: 0.2894, decode.acc_seg: 88.5809, loss: 0.2894 +2023-03-04 18:00:55,864 - mmseg - INFO - Iter [6750/80000] lr: 1.500e-04, eta: 3:31:55, time: 0.173, data_time: 0.006, memory: 19750, decode.loss_ce: 0.3133, decode.acc_seg: 88.0745, loss: 0.3133 +2023-03-04 18:01:04,260 - mmseg - INFO - Iter [6800/80000] lr: 1.500e-04, eta: 3:31:43, time: 0.168, data_time: 0.006, memory: 19750, decode.loss_ce: 0.3006, decode.acc_seg: 88.2473, loss: 0.3006 +2023-03-04 18:01:12,756 - mmseg - INFO - Iter [6850/80000] lr: 1.500e-04, eta: 3:31:32, time: 0.170, data_time: 0.006, memory: 19750, decode.loss_ce: 0.3017, decode.acc_seg: 88.3774, loss: 0.3017 +2023-03-04 18:01:21,145 - mmseg - INFO - Iter [6900/80000] lr: 1.500e-04, eta: 3:31:21, time: 0.168, data_time: 0.006, memory: 19750, decode.loss_ce: 0.2801, decode.acc_seg: 88.9936, loss: 0.2801 +2023-03-04 18:01:32,492 - mmseg - INFO - Iter [6950/80000] lr: 1.500e-04, eta: 3:31:40, time: 0.227, data_time: 0.056, memory: 19750, decode.loss_ce: 0.2885, decode.acc_seg: 88.7909, loss: 0.2885 +2023-03-04 18:01:40,715 - mmseg - INFO - Exp name: ablation_segformer_mit_b2_segformer_head_unet_fc_single_step_ade_pretrained_freeze_embed_80k_ade20k151_logits.py +2023-03-04 18:01:40,715 - mmseg - INFO - Iter [7000/80000] lr: 1.500e-04, eta: 3:31:26, time: 0.165, data_time: 0.007, memory: 19750, decode.loss_ce: 0.2935, decode.acc_seg: 88.4865, loss: 0.2935 +2023-03-04 18:01:49,486 - mmseg - INFO - Iter [7050/80000] lr: 1.500e-04, eta: 3:31:19, time: 0.175, data_time: 0.007, memory: 19750, decode.loss_ce: 0.2886, decode.acc_seg: 88.4324, loss: 0.2886 +2023-03-04 18:01:57,962 - mmseg - INFO - Iter [7100/80000] lr: 1.500e-04, eta: 3:31:08, time: 0.170, data_time: 0.007, memory: 19750, decode.loss_ce: 0.2930, decode.acc_seg: 88.3188, loss: 0.2930 +2023-03-04 18:02:06,362 - mmseg - INFO - Iter [7150/80000] lr: 1.500e-04, eta: 3:30:56, time: 0.168, data_time: 0.007, memory: 19750, decode.loss_ce: 0.2804, decode.acc_seg: 89.1287, loss: 0.2804 +2023-03-04 18:02:14,618 - mmseg - INFO - Iter [7200/80000] lr: 1.500e-04, eta: 3:30:43, time: 0.165, data_time: 0.006, memory: 19750, decode.loss_ce: 0.2918, decode.acc_seg: 88.7545, loss: 0.2918 +2023-03-04 18:02:23,037 - mmseg - INFO - Iter [7250/80000] lr: 1.500e-04, eta: 3:30:32, time: 0.168, data_time: 0.007, memory: 19750, decode.loss_ce: 0.2754, decode.acc_seg: 89.2113, loss: 0.2754 +2023-03-04 18:02:31,392 - mmseg - INFO - Iter [7300/80000] lr: 1.500e-04, eta: 3:30:20, time: 0.167, data_time: 0.007, memory: 19750, decode.loss_ce: 0.2873, decode.acc_seg: 88.7676, loss: 0.2873 +2023-03-04 18:02:39,909 - mmseg - INFO - Iter [7350/80000] lr: 1.500e-04, eta: 3:30:09, time: 0.170, data_time: 0.006, memory: 19750, decode.loss_ce: 0.3013, decode.acc_seg: 88.4298, loss: 0.3013 +2023-03-04 18:02:48,533 - mmseg - INFO - Iter [7400/80000] lr: 1.500e-04, eta: 3:30:00, time: 0.172, data_time: 0.006, memory: 19750, decode.loss_ce: 0.2776, decode.acc_seg: 88.9940, loss: 0.2776 +2023-03-04 18:02:56,668 - mmseg - INFO - Iter [7450/80000] lr: 1.500e-04, eta: 3:29:46, time: 0.163, data_time: 0.006, memory: 19750, decode.loss_ce: 0.2907, decode.acc_seg: 88.7283, loss: 0.2907 +2023-03-04 18:03:05,131 - mmseg - INFO - Iter [7500/80000] lr: 1.500e-04, eta: 3:29:36, time: 0.169, data_time: 0.006, memory: 19750, decode.loss_ce: 0.2891, decode.acc_seg: 88.8243, loss: 0.2891 +2023-03-04 18:03:13,470 - mmseg - INFO - Iter [7550/80000] lr: 1.500e-04, eta: 3:29:24, time: 0.167, data_time: 0.007, memory: 19750, decode.loss_ce: 0.2683, decode.acc_seg: 89.1352, loss: 0.2683 +2023-03-04 18:03:24,692 - mmseg - INFO - Iter [7600/80000] lr: 1.500e-04, eta: 3:29:39, time: 0.224, data_time: 0.058, memory: 19750, decode.loss_ce: 0.2865, decode.acc_seg: 88.8224, loss: 0.2865 +2023-03-04 18:03:33,074 - mmseg - INFO - Iter [7650/80000] lr: 1.500e-04, eta: 3:29:28, time: 0.167, data_time: 0.006, memory: 19750, decode.loss_ce: 0.2903, decode.acc_seg: 88.6846, loss: 0.2903 +2023-03-04 18:03:41,880 - mmseg - INFO - Iter [7700/80000] lr: 1.500e-04, eta: 3:29:20, time: 0.176, data_time: 0.006, memory: 19750, decode.loss_ce: 0.2759, decode.acc_seg: 88.9409, loss: 0.2759 +2023-03-04 18:03:49,958 - mmseg - INFO - Iter [7750/80000] lr: 1.500e-04, eta: 3:29:06, time: 0.162, data_time: 0.006, memory: 19750, decode.loss_ce: 0.2947, decode.acc_seg: 88.3407, loss: 0.2947 +2023-03-04 18:03:58,175 - mmseg - INFO - Iter [7800/80000] lr: 1.500e-04, eta: 3:28:53, time: 0.164, data_time: 0.007, memory: 19750, decode.loss_ce: 0.2945, decode.acc_seg: 88.5218, loss: 0.2945 +2023-03-04 18:04:06,888 - mmseg - INFO - Iter [7850/80000] lr: 1.500e-04, eta: 3:28:44, time: 0.174, data_time: 0.006, memory: 19750, decode.loss_ce: 0.2944, decode.acc_seg: 88.5306, loss: 0.2944 +2023-03-04 18:04:15,673 - mmseg - INFO - Iter [7900/80000] lr: 1.500e-04, eta: 3:28:37, time: 0.176, data_time: 0.006, memory: 19750, decode.loss_ce: 0.2769, decode.acc_seg: 89.1110, loss: 0.2769 +2023-03-04 18:04:24,039 - mmseg - INFO - Iter [7950/80000] lr: 1.500e-04, eta: 3:28:25, time: 0.167, data_time: 0.007, memory: 19750, decode.loss_ce: 0.2829, decode.acc_seg: 88.8127, loss: 0.2829 +2023-03-04 18:04:32,378 - mmseg - INFO - Saving checkpoint at 8000 iterations +2023-03-04 18:04:33,016 - mmseg - INFO - Exp name: ablation_segformer_mit_b2_segformer_head_unet_fc_single_step_ade_pretrained_freeze_embed_80k_ade20k151_logits.py +2023-03-04 18:04:33,016 - mmseg - INFO - Iter [8000/80000] lr: 1.500e-04, eta: 3:28:19, time: 0.180, data_time: 0.007, memory: 19750, decode.loss_ce: 0.2829, decode.acc_seg: 88.7836, loss: 0.2829 diff --git a/ablation/ablation_segformer_mit_b2_segformer_head_unet_fc_single_step_ade_pretrained_freeze_embed_80k_ade20k151_logits/20230304_174053.log.json b/ablation/ablation_segformer_mit_b2_segformer_head_unet_fc_single_step_ade_pretrained_freeze_embed_80k_ade20k151_logits/20230304_174053.log.json new file mode 100644 index 0000000000000000000000000000000000000000..8d14f57d6654ab6055cad1e4dbe79e4df2d1b235 --- /dev/null +++ b/ablation/ablation_segformer_mit_b2_segformer_head_unet_fc_single_step_ade_pretrained_freeze_embed_80k_ade20k151_logits/20230304_174053.log.json @@ -0,0 +1,161 @@ +{"env_info": "sys.platform: linux\nPython: 3.7.16 (default, Jan 17 2023, 22:20:44) [GCC 11.2.0]\nCUDA available: True\nGPU 0,1,2,3,4,5,6,7: NVIDIA A100-SXM4-80GB\nCUDA_HOME: /mnt/petrelfs/laizeqiang/miniconda3/envs/torch\nNVCC: Cuda compilation tools, release 11.6, V11.6.124\nGCC: gcc (GCC) 4.8.5 20150623 (Red Hat 4.8.5-44)\nPyTorch: 1.13.1\nPyTorch compiling details: PyTorch built with:\n - GCC 9.3\n - C++ Version: 201402\n - Intel(R) oneAPI Math Kernel Library Version 2021.4-Product Build 20210904 for Intel(R) 64 architecture applications\n - Intel(R) MKL-DNN v2.6.0 (Git Hash 52b5f107dd9cf10910aaa19cb47f3abf9b349815)\n - OpenMP 201511 (a.k.a. OpenMP 4.5)\n - LAPACK is enabled (usually provided by MKL)\n - NNPACK is enabled\n - CPU capability usage: AVX2\n - CUDA Runtime 11.6\n - NVCC architecture flags: -gencode;arch=compute_37,code=sm_37;-gencode;arch=compute_50,code=sm_50;-gencode;arch=compute_60,code=sm_60;-gencode;arch=compute_61,code=sm_61;-gencode;arch=compute_70,code=sm_70;-gencode;arch=compute_75,code=sm_75;-gencode;arch=compute_80,code=sm_80;-gencode;arch=compute_86,code=sm_86;-gencode;arch=compute_37,code=compute_37\n - CuDNN 8.3.2 (built against CUDA 11.5)\n - Magma 2.6.1\n - Build settings: BLAS_INFO=mkl, BUILD_TYPE=Release, CUDA_VERSION=11.6, CUDNN_VERSION=8.3.2, CXX_COMPILER=/opt/rh/devtoolset-9/root/usr/bin/c++, CXX_FLAGS= -fabi-version=11 -Wno-deprecated -fvisibility-inlines-hidden -DUSE_PTHREADPOOL -fopenmp -DNDEBUG -DUSE_KINETO -DUSE_FBGEMM -DUSE_QNNPACK -DUSE_PYTORCH_QNNPACK -DUSE_XNNPACK -DSYMBOLICATE_MOBILE_DEBUG_HANDLE -DEDGE_PROFILER_USE_KINETO -O2 -fPIC -Wno-narrowing -Wall -Wextra -Werror=return-type -Werror=non-virtual-dtor -Wno-missing-field-initializers -Wno-type-limits -Wno-array-bounds -Wno-unknown-pragmas -Wunused-local-typedefs -Wno-unused-parameter -Wno-unused-function -Wno-unused-result -Wno-strict-overflow -Wno-strict-aliasing -Wno-error=deprecated-declarations -Wno-stringop-overflow -Wno-psabi -Wno-error=pedantic -Wno-error=redundant-decls -Wno-error=old-style-cast -fdiagnostics-color=always -faligned-new -Wno-unused-but-set-variable -Wno-maybe-uninitialized -fno-math-errno -fno-trapping-math -Werror=format -Werror=cast-function-type -Wno-stringop-overflow, LAPACK_INFO=mkl, PERF_WITH_AVX=1, PERF_WITH_AVX2=1, PERF_WITH_AVX512=1, TORCH_VERSION=1.13.1, USE_CUDA=ON, USE_CUDNN=ON, USE_EXCEPTION_PTR=1, USE_GFLAGS=OFF, USE_GLOG=OFF, USE_MKL=ON, USE_MKLDNN=ON, USE_MPI=OFF, USE_NCCL=ON, USE_NNPACK=ON, USE_OPENMP=ON, USE_ROCM=OFF, \n\nTorchVision: 0.14.1\nOpenCV: 4.7.0\nMMCV: 1.7.1\nMMCV Compiler: GCC 9.3\nMMCV CUDA Compiler: 11.6\nMMSegmentation: 0.30.0+6749699", "seed": 358795777, "exp_name": "ablation_segformer_mit_b2_segformer_head_unet_fc_single_step_ade_pretrained_freeze_embed_80k_ade20k151_logits.py", "mmseg_version": "0.30.0+6749699", "config": "norm_cfg = dict(type='SyncBN', requires_grad=True)\ncheckpoint = 'pretrained/segformer_mit-b2_512x512_160k_ade20k_20220620_114047-64e4feca.pth'\nmodel = dict(\n type='EncoderDecoderFreeze',\n freeze_parameters=['backbone', 'decode_head'],\n pretrained=\n 'pretrained/segformer_mit-b2_512x512_160k_ade20k_20220620_114047-64e4feca.pth',\n backbone=dict(\n type='MixVisionTransformerCustomInitWeights',\n in_channels=3,\n embed_dims=64,\n num_stages=4,\n num_layers=[3, 4, 6, 3],\n num_heads=[1, 2, 5, 8],\n patch_sizes=[7, 3, 3, 3],\n sr_ratios=[8, 4, 2, 1],\n out_indices=(0, 1, 2, 3),\n mlp_ratio=4,\n qkv_bias=True,\n drop_rate=0.0,\n attn_drop_rate=0.0,\n drop_path_rate=0.1,\n pretrained=\n 'pretrained/segformer_mit-b2_512x512_160k_ade20k_20220620_114047-64e4feca.pth'\n ),\n decode_head=dict(\n type='SegformerHeadUnetFCHeadSingleStepLogits',\n pretrained=\n 'pretrained/segformer_mit-b2_512x512_160k_ade20k_20220620_114047-64e4feca.pth',\n dim=128,\n out_dim=256,\n unet_channels=166,\n dim_mults=[1, 1, 1],\n cat_embedding_dim=16,\n in_channels=[64, 128, 320, 512],\n in_index=[0, 1, 2, 3],\n channels=256,\n dropout_ratio=0.1,\n num_classes=151,\n norm_cfg=dict(type='SyncBN', requires_grad=True),\n align_corners=False,\n ignore_index=0,\n loss_decode=dict(\n type='CrossEntropyLoss', use_sigmoid=False, loss_weight=1.0)),\n train_cfg=dict(),\n test_cfg=dict(mode='whole'))\ndataset_type = 'ADE20K151Dataset'\ndata_root = 'data/ade/ADEChallengeData2016'\nimg_norm_cfg = dict(\n mean=[123.675, 116.28, 103.53], std=[58.395, 57.12, 57.375], to_rgb=True)\ncrop_size = (512, 512)\ntrain_pipeline = [\n dict(type='LoadImageFromFile'),\n dict(type='LoadAnnotations', reduce_zero_label=False),\n dict(type='Resize', img_scale=(2048, 512), ratio_range=(0.5, 2.0)),\n dict(type='RandomCrop', crop_size=(512, 512), cat_max_ratio=0.75),\n dict(type='RandomFlip', prob=0.5),\n dict(type='PhotoMetricDistortion'),\n dict(\n type='Normalize',\n mean=[123.675, 116.28, 103.53],\n std=[58.395, 57.12, 57.375],\n to_rgb=True),\n dict(type='Pad', size=(512, 512), pad_val=0, seg_pad_val=0),\n dict(type='DefaultFormatBundle'),\n dict(type='Collect', keys=['img', 'gt_semantic_seg'])\n]\ntest_pipeline = [\n dict(type='LoadImageFromFile'),\n dict(\n type='MultiScaleFlipAug',\n img_scale=(2048, 512),\n flip=False,\n transforms=[\n dict(type='Resize', keep_ratio=True),\n dict(type='RandomFlip'),\n dict(\n type='Normalize',\n mean=[123.675, 116.28, 103.53],\n std=[58.395, 57.12, 57.375],\n to_rgb=True),\n dict(type='Pad', size_divisor=16, pad_val=0, seg_pad_val=0),\n dict(type='ImageToTensor', keys=['img']),\n dict(type='Collect', keys=['img'])\n ])\n]\ndata = dict(\n samples_per_gpu=4,\n workers_per_gpu=4,\n train=dict(\n type='ADE20K151Dataset',\n data_root='data/ade/ADEChallengeData2016',\n img_dir='images/training',\n ann_dir='annotations/training',\n pipeline=[\n dict(type='LoadImageFromFile'),\n dict(type='LoadAnnotations', reduce_zero_label=False),\n dict(type='Resize', img_scale=(2048, 512), ratio_range=(0.5, 2.0)),\n dict(type='RandomCrop', crop_size=(512, 512), cat_max_ratio=0.75),\n dict(type='RandomFlip', prob=0.5),\n dict(type='PhotoMetricDistortion'),\n dict(\n type='Normalize',\n mean=[123.675, 116.28, 103.53],\n std=[58.395, 57.12, 57.375],\n to_rgb=True),\n dict(type='Pad', size=(512, 512), pad_val=0, seg_pad_val=0),\n dict(type='DefaultFormatBundle'),\n dict(type='Collect', keys=['img', 'gt_semantic_seg'])\n ]),\n val=dict(\n type='ADE20K151Dataset',\n data_root='data/ade/ADEChallengeData2016',\n img_dir='images/validation',\n ann_dir='annotations/validation',\n pipeline=[\n dict(type='LoadImageFromFile'),\n dict(\n type='MultiScaleFlipAug',\n img_scale=(2048, 512),\n flip=False,\n transforms=[\n dict(type='Resize', keep_ratio=True),\n dict(type='RandomFlip'),\n dict(\n type='Normalize',\n mean=[123.675, 116.28, 103.53],\n std=[58.395, 57.12, 57.375],\n to_rgb=True),\n dict(\n type='Pad', size_divisor=16, pad_val=0, seg_pad_val=0),\n dict(type='ImageToTensor', keys=['img']),\n dict(type='Collect', keys=['img'])\n ])\n ]),\n test=dict(\n type='ADE20K151Dataset',\n data_root='data/ade/ADEChallengeData2016',\n img_dir='images/validation',\n ann_dir='annotations/validation',\n pipeline=[\n dict(type='LoadImageFromFile'),\n dict(\n type='MultiScaleFlipAug',\n img_scale=(2048, 512),\n flip=False,\n transforms=[\n dict(type='Resize', keep_ratio=True),\n dict(type='RandomFlip'),\n dict(\n type='Normalize',\n mean=[123.675, 116.28, 103.53],\n std=[58.395, 57.12, 57.375],\n to_rgb=True),\n dict(\n type='Pad', size_divisor=16, pad_val=0, seg_pad_val=0),\n dict(type='ImageToTensor', keys=['img']),\n dict(type='Collect', keys=['img'])\n ])\n ]))\nlog_config = dict(\n interval=50, hooks=[dict(type='TextLoggerHook', by_epoch=False)])\ndist_params = dict(backend='nccl')\nlog_level = 'INFO'\nload_from = None\nresume_from = None\nworkflow = [('train', 1)]\ncudnn_benchmark = True\noptimizer = dict(\n type='AdamW', lr=0.00015, betas=[0.9, 0.96], weight_decay=0.045)\noptimizer_config = dict()\nlr_config = dict(\n policy='step',\n warmup='linear',\n warmup_iters=1000,\n warmup_ratio=1e-06,\n step=10000,\n gamma=0.5,\n min_lr=1e-06,\n by_epoch=False)\nrunner = dict(type='IterBasedRunner', max_iters=80000)\ncheckpoint_config = dict(by_epoch=False, interval=8000)\nevaluation = dict(\n interval=8000, metric='mIoU', pre_eval=True, save_best='mIoU')\nwork_dir = './work_dirs2/ablation_segformer_mit_b2_segformer_head_unet_fc_single_step_ade_pretrained_freeze_embed_80k_ade20k151_logits'\ngpu_ids = range(0, 8)\nauto_resume = True\ndevice = 'cuda'\nseed = 358795777\n", "CLASSES": ["background", "wall", "building", "sky", "floor", "tree", "ceiling", "road", "bed ", "windowpane", "grass", "cabinet", "sidewalk", "person", "earth", "door", "table", "mountain", "plant", "curtain", "chair", "car", "water", "painting", "sofa", "shelf", "house", "sea", "mirror", "rug", "field", "armchair", "seat", "fence", "desk", "rock", "wardrobe", "lamp", "bathtub", "railing", "cushion", "base", "box", "column", "signboard", "chest of drawers", "counter", "sand", "sink", "skyscraper", "fireplace", "refrigerator", "grandstand", "path", "stairs", "runway", "case", "pool table", "pillow", "screen door", "stairway", "river", "bridge", "bookcase", "blind", "coffee table", "toilet", "flower", "book", "hill", "bench", "countertop", "stove", "palm", "kitchen island", "computer", "swivel chair", "boat", "bar", "arcade machine", "hovel", "bus", "towel", "light", "truck", "tower", "chandelier", "awning", "streetlight", "booth", "television receiver", "airplane", "dirt track", "apparel", "pole", "land", "bannister", "escalator", "ottoman", "bottle", "buffet", "poster", "stage", "van", "ship", "fountain", "conveyer belt", "canopy", "washer", "plaything", "swimming pool", "stool", "barrel", "basket", "waterfall", "tent", "bag", "minibike", "cradle", "oven", "ball", "food", "step", "tank", "trade name", "microwave", "pot", "animal", "bicycle", "lake", "dishwasher", "screen", "blanket", "sculpture", "hood", "sconce", "vase", "traffic light", "tray", "ashcan", "fan", "pier", "crt screen", "plate", "monitor", "bulletin board", "shower", "radiator", "glass", "clock", "flag"], "PALETTE": [[0, 0, 0], [120, 120, 120], [180, 120, 120], [6, 230, 230], [80, 50, 50], [4, 200, 3], [120, 120, 80], [140, 140, 140], [204, 5, 255], [230, 230, 230], [4, 250, 7], [224, 5, 255], [235, 255, 7], [150, 5, 61], [120, 120, 70], [8, 255, 51], [255, 6, 82], [143, 255, 140], [204, 255, 4], [255, 51, 7], [204, 70, 3], [0, 102, 200], [61, 230, 250], [255, 6, 51], [11, 102, 255], [255, 7, 71], [255, 9, 224], [9, 7, 230], [220, 220, 220], [255, 9, 92], [112, 9, 255], [8, 255, 214], [7, 255, 224], [255, 184, 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b/ablation/ablation_segformer_mit_b2_segformer_head_unet_fc_single_step_ade_pretrained_freeze_embed_80k_ade20k151_logits/20230304_184631.log new file mode 100644 index 0000000000000000000000000000000000000000..3fded0a2ece1c073b33da283bc3a6ced9c3eb2b2 --- /dev/null +++ b/ablation/ablation_segformer_mit_b2_segformer_head_unet_fc_single_step_ade_pretrained_freeze_embed_80k_ade20k151_logits/20230304_184631.log @@ -0,0 +1,1139 @@ +2023-03-04 18:46:31,289 - mmseg - INFO - Multi-processing start method is `None` +2023-03-04 18:46:31,301 - mmseg - INFO - OpenCV num_threads is `128 +2023-03-04 18:46:31,301 - mmseg - INFO - OMP num threads is 1 +2023-03-04 18:46:31,368 - mmseg - INFO - Environment info: +------------------------------------------------------------ +sys.platform: linux +Python: 3.7.16 (default, Jan 17 2023, 22:20:44) [GCC 11.2.0] +CUDA available: True +GPU 0,1,2,3,4,5,6,7: NVIDIA A100-SXM4-80GB +CUDA_HOME: /mnt/petrelfs/laizeqiang/miniconda3/envs/torch +NVCC: Cuda compilation tools, release 11.6, V11.6.124 +GCC: gcc (GCC) 4.8.5 20150623 (Red Hat 4.8.5-44) +PyTorch: 1.13.1 +PyTorch compiling details: PyTorch built with: + - GCC 9.3 + - C++ Version: 201402 + - Intel(R) oneAPI Math Kernel Library Version 2021.4-Product Build 20210904 for Intel(R) 64 architecture applications + - Intel(R) MKL-DNN v2.6.0 (Git Hash 52b5f107dd9cf10910aaa19cb47f3abf9b349815) + - OpenMP 201511 (a.k.a. OpenMP 4.5) + - LAPACK is enabled (usually provided by MKL) + - NNPACK is enabled + - CPU capability usage: AVX2 + - CUDA Runtime 11.6 + - NVCC architecture flags: -gencode;arch=compute_37,code=sm_37;-gencode;arch=compute_50,code=sm_50;-gencode;arch=compute_60,code=sm_60;-gencode;arch=compute_61,code=sm_61;-gencode;arch=compute_70,code=sm_70;-gencode;arch=compute_75,code=sm_75;-gencode;arch=compute_80,code=sm_80;-gencode;arch=compute_86,code=sm_86;-gencode;arch=compute_37,code=compute_37 + - CuDNN 8.3.2 (built against CUDA 11.5) + - Magma 2.6.1 + - Build settings: BLAS_INFO=mkl, BUILD_TYPE=Release, CUDA_VERSION=11.6, CUDNN_VERSION=8.3.2, CXX_COMPILER=/opt/rh/devtoolset-9/root/usr/bin/c++, CXX_FLAGS= -fabi-version=11 -Wno-deprecated -fvisibility-inlines-hidden -DUSE_PTHREADPOOL -fopenmp -DNDEBUG -DUSE_KINETO -DUSE_FBGEMM -DUSE_QNNPACK -DUSE_PYTORCH_QNNPACK -DUSE_XNNPACK -DSYMBOLICATE_MOBILE_DEBUG_HANDLE -DEDGE_PROFILER_USE_KINETO -O2 -fPIC -Wno-narrowing -Wall -Wextra -Werror=return-type -Werror=non-virtual-dtor -Wno-missing-field-initializers -Wno-type-limits -Wno-array-bounds -Wno-unknown-pragmas -Wunused-local-typedefs -Wno-unused-parameter -Wno-unused-function -Wno-unused-result -Wno-strict-overflow -Wno-strict-aliasing -Wno-error=deprecated-declarations -Wno-stringop-overflow -Wno-psabi -Wno-error=pedantic -Wno-error=redundant-decls -Wno-error=old-style-cast -fdiagnostics-color=always -faligned-new -Wno-unused-but-set-variable -Wno-maybe-uninitialized -fno-math-errno -fno-trapping-math -Werror=format -Werror=cast-function-type -Wno-stringop-overflow, LAPACK_INFO=mkl, PERF_WITH_AVX=1, PERF_WITH_AVX2=1, PERF_WITH_AVX512=1, TORCH_VERSION=1.13.1, USE_CUDA=ON, USE_CUDNN=ON, USE_EXCEPTION_PTR=1, USE_GFLAGS=OFF, USE_GLOG=OFF, USE_MKL=ON, USE_MKLDNN=ON, USE_MPI=OFF, USE_NCCL=ON, USE_NNPACK=ON, USE_OPENMP=ON, USE_ROCM=OFF, + +TorchVision: 0.14.1 +OpenCV: 4.7.0 +MMCV: 1.7.1 +MMCV Compiler: GCC 9.3 +MMCV CUDA Compiler: 11.6 +MMSegmentation: 0.30.0+6749699 +------------------------------------------------------------ + +2023-03-04 18:46:31,368 - mmseg - INFO - Distributed training: True +2023-03-04 18:46:32,081 - mmseg - INFO - Config: +norm_cfg = dict(type='SyncBN', requires_grad=True) +checkpoint = 'pretrained/segformer_mit-b2_512x512_160k_ade20k_20220620_114047-64e4feca.pth' +model = dict( + type='EncoderDecoderFreeze', + freeze_parameters=['backbone', 'decode_head'], + pretrained= + 'pretrained/segformer_mit-b2_512x512_160k_ade20k_20220620_114047-64e4feca.pth', + backbone=dict( + type='MixVisionTransformerCustomInitWeights', + in_channels=3, + embed_dims=64, + num_stages=4, + num_layers=[3, 4, 6, 3], + num_heads=[1, 2, 5, 8], + patch_sizes=[7, 3, 3, 3], + sr_ratios=[8, 4, 2, 1], + out_indices=(0, 1, 2, 3), + mlp_ratio=4, + qkv_bias=True, + drop_rate=0.0, + attn_drop_rate=0.0, + drop_path_rate=0.1), + decode_head=dict( + type='SegformerHeadUnetFCHeadSingleStepLogits', + pretrained= + 'pretrained/segformer_mit-b2_512x512_160k_ade20k_20220620_114047-64e4feca.pth', + dim=128, + out_dim=256, + unet_channels=166, + dim_mults=[1, 1, 1], + cat_embedding_dim=16, + in_channels=[64, 128, 320, 512], + in_index=[0, 1, 2, 3], + channels=256, + dropout_ratio=0.1, + num_classes=151, + norm_cfg=dict(type='SyncBN', requires_grad=True), + align_corners=False, + ignore_index=0, + loss_decode=dict( + type='CrossEntropyLoss', use_sigmoid=False, loss_weight=1.0)), + train_cfg=dict(), + test_cfg=dict(mode='whole')) +dataset_type = 'ADE20K151Dataset' +data_root = 'data/ade/ADEChallengeData2016' +img_norm_cfg = dict( + mean=[123.675, 116.28, 103.53], std=[58.395, 57.12, 57.375], to_rgb=True) +crop_size = (512, 512) +train_pipeline = [ + dict(type='LoadImageFromFile'), + dict(type='LoadAnnotations', reduce_zero_label=False), + dict(type='Resize', img_scale=(2048, 512), ratio_range=(0.5, 2.0)), + dict(type='RandomCrop', crop_size=(512, 512), cat_max_ratio=0.75), + dict(type='RandomFlip', prob=0.5), + dict(type='PhotoMetricDistortion'), + dict( + type='Normalize', + mean=[123.675, 116.28, 103.53], + std=[58.395, 57.12, 57.375], + to_rgb=True), + dict(type='Pad', size=(512, 512), pad_val=0, seg_pad_val=0), + dict(type='DefaultFormatBundle'), + dict(type='Collect', keys=['img', 'gt_semantic_seg']) +] +test_pipeline = [ + dict(type='LoadImageFromFile'), + dict( + type='MultiScaleFlipAug', + img_scale=(2048, 512), + flip=False, + transforms=[ + dict(type='Resize', keep_ratio=True), + dict(type='RandomFlip'), + dict( + type='Normalize', + mean=[123.675, 116.28, 103.53], + std=[58.395, 57.12, 57.375], + to_rgb=True), + dict(type='Pad', size_divisor=16, pad_val=0, seg_pad_val=0), + dict(type='ImageToTensor', keys=['img']), + dict(type='Collect', keys=['img']) + ]) +] +data = dict( + samples_per_gpu=4, + workers_per_gpu=4, + train=dict( + type='ADE20K151Dataset', + data_root='data/ade/ADEChallengeData2016', + img_dir='images/training', + ann_dir='annotations/training', + pipeline=[ + dict(type='LoadImageFromFile'), + dict(type='LoadAnnotations', reduce_zero_label=False), + dict(type='Resize', img_scale=(2048, 512), ratio_range=(0.5, 2.0)), + dict(type='RandomCrop', crop_size=(512, 512), cat_max_ratio=0.75), + dict(type='RandomFlip', prob=0.5), + dict(type='PhotoMetricDistortion'), + dict( + type='Normalize', + mean=[123.675, 116.28, 103.53], + std=[58.395, 57.12, 57.375], + to_rgb=True), + dict(type='Pad', size=(512, 512), pad_val=0, seg_pad_val=0), + dict(type='DefaultFormatBundle'), + dict(type='Collect', keys=['img', 'gt_semantic_seg']) + ]), + val=dict( + type='ADE20K151Dataset', + data_root='data/ade/ADEChallengeData2016', + img_dir='images/validation', + ann_dir='annotations/validation', + pipeline=[ + dict(type='LoadImageFromFile'), + dict( + type='MultiScaleFlipAug', + img_scale=(2048, 512), + flip=False, + transforms=[ + dict(type='Resize', keep_ratio=True), + dict(type='RandomFlip'), + dict( + type='Normalize', + mean=[123.675, 116.28, 103.53], + std=[58.395, 57.12, 57.375], + to_rgb=True), + dict( + type='Pad', size_divisor=16, pad_val=0, seg_pad_val=0), + dict(type='ImageToTensor', keys=['img']), + dict(type='Collect', keys=['img']) + ]) + ]), + test=dict( + type='ADE20K151Dataset', + data_root='data/ade/ADEChallengeData2016', + img_dir='images/validation', + ann_dir='annotations/validation', + pipeline=[ + dict(type='LoadImageFromFile'), + dict( + type='MultiScaleFlipAug', + img_scale=(2048, 512), + flip=False, + transforms=[ + dict(type='Resize', keep_ratio=True), + dict(type='RandomFlip'), + dict( + type='Normalize', + mean=[123.675, 116.28, 103.53], + std=[58.395, 57.12, 57.375], + to_rgb=True), + dict( + type='Pad', size_divisor=16, pad_val=0, seg_pad_val=0), + dict(type='ImageToTensor', keys=['img']), + dict(type='Collect', keys=['img']) + ]) + ])) +log_config = dict( + interval=50, hooks=[dict(type='TextLoggerHook', by_epoch=False)]) +dist_params = dict(backend='nccl') +log_level = 'INFO' +load_from = None +resume_from = None +workflow = [('train', 1)] +cudnn_benchmark = True +optimizer = dict( + type='AdamW', lr=0.00015, betas=[0.9, 0.96], weight_decay=0.045) +optimizer_config = dict() +lr_config = dict( + policy='step', + warmup='linear', + warmup_iters=1000, + warmup_ratio=1e-06, + step=10000, + gamma=0.5, + min_lr=1e-06, + by_epoch=False) +runner = dict(type='IterBasedRunner', max_iters=80000) +checkpoint_config = dict(by_epoch=False, interval=8000) +evaluation = dict( + interval=8000, metric='mIoU', pre_eval=True, save_best='mIoU') +work_dir = './work_dirs2/ablation_segformer_mit_b2_segformer_head_unet_fc_single_step_ade_pretrained_freeze_embed_80k_ade20k151_logits' +gpu_ids = range(0, 8) +auto_resume = True + +2023-03-04 18:46:38,332 - mmseg - INFO - Set random seed to 1082958590, deterministic: False +2023-03-04 18:46:38,583 - mmseg - INFO - Parameters in backbone freezed! +2023-03-04 18:46:38,583 - mmseg - INFO - Trainable parameters in SegformerHeadUnetFCHeadSingleStep: ['unet.init_conv.weight', 'unet.init_conv.bias', 'unet.time_mlp.1.weight', 'unet.time_mlp.1.bias', 'unet.time_mlp.3.weight', 'unet.time_mlp.3.bias', 'unet.downs.0.0.mlp.1.weight', 'unet.downs.0.0.mlp.1.bias', 'unet.downs.0.0.block1.proj.weight', 'unet.downs.0.0.block1.proj.bias', 'unet.downs.0.0.block1.norm.weight', 'unet.downs.0.0.block1.norm.bias', 'unet.downs.0.0.block2.proj.weight', 'unet.downs.0.0.block2.proj.bias', 'unet.downs.0.0.block2.norm.weight', 'unet.downs.0.0.block2.norm.bias', 'unet.downs.0.1.mlp.1.weight', 'unet.downs.0.1.mlp.1.bias', 'unet.downs.0.1.block1.proj.weight', 'unet.downs.0.1.block1.proj.bias', 'unet.downs.0.1.block1.norm.weight', 'unet.downs.0.1.block1.norm.bias', 'unet.downs.0.1.block2.proj.weight', 'unet.downs.0.1.block2.proj.bias', 'unet.downs.0.1.block2.norm.weight', 'unet.downs.0.1.block2.norm.bias', 'unet.downs.0.2.fn.fn.to_qkv.weight', 'unet.downs.0.2.fn.fn.to_out.0.weight', 'unet.downs.0.2.fn.fn.to_out.0.bias', 'unet.downs.0.2.fn.fn.to_out.1.g', 'unet.downs.0.2.fn.norm.g', 'unet.downs.0.3.weight', 'unet.downs.0.3.bias', 'unet.downs.1.0.mlp.1.weight', 'unet.downs.1.0.mlp.1.bias', 'unet.downs.1.0.block1.proj.weight', 'unet.downs.1.0.block1.proj.bias', 'unet.downs.1.0.block1.norm.weight', 'unet.downs.1.0.block1.norm.bias', 'unet.downs.1.0.block2.proj.weight', 'unet.downs.1.0.block2.proj.bias', 'unet.downs.1.0.block2.norm.weight', 'unet.downs.1.0.block2.norm.bias', 'unet.downs.1.1.mlp.1.weight', 'unet.downs.1.1.mlp.1.bias', 'unet.downs.1.1.block1.proj.weight', 'unet.downs.1.1.block1.proj.bias', 'unet.downs.1.1.block1.norm.weight', 'unet.downs.1.1.block1.norm.bias', 'unet.downs.1.1.block2.proj.weight', 'unet.downs.1.1.block2.proj.bias', 'unet.downs.1.1.block2.norm.weight', 'unet.downs.1.1.block2.norm.bias', 'unet.downs.1.2.fn.fn.to_qkv.weight', 'unet.downs.1.2.fn.fn.to_out.0.weight', 'unet.downs.1.2.fn.fn.to_out.0.bias', 'unet.downs.1.2.fn.fn.to_out.1.g', 'unet.downs.1.2.fn.norm.g', 'unet.downs.1.3.weight', 'unet.downs.1.3.bias', 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'unet.mid_block1.block1.proj.weight', 'unet.mid_block1.block1.proj.bias', 'unet.mid_block1.block1.norm.weight', 'unet.mid_block1.block1.norm.bias', 'unet.mid_block1.block2.proj.weight', 'unet.mid_block1.block2.proj.bias', 'unet.mid_block1.block2.norm.weight', 'unet.mid_block1.block2.norm.bias', 'unet.mid_attn.fn.fn.to_qkv.weight', 'unet.mid_attn.fn.fn.to_out.weight', 'unet.mid_attn.fn.fn.to_out.bias', 'unet.mid_attn.fn.norm.g', 'unet.mid_block2.mlp.1.weight', 'unet.mid_block2.mlp.1.bias', 'unet.mid_block2.block1.proj.weight', 'unet.mid_block2.block1.proj.bias', 'unet.mid_block2.block1.norm.weight', 'unet.mid_block2.block1.norm.bias', 'unet.mid_block2.block2.proj.weight', 'unet.mid_block2.block2.proj.bias', 'unet.mid_block2.block2.norm.weight', 'unet.mid_block2.block2.norm.bias', 'unet.final_res_block.mlp.1.weight', 'unet.final_res_block.mlp.1.bias', 'unet.final_res_block.block1.proj.weight', 'unet.final_res_block.block1.proj.bias', 'unet.final_res_block.block1.norm.weight', 'unet.final_res_block.block1.norm.bias', 'unet.final_res_block.block2.proj.weight', 'unet.final_res_block.block2.proj.bias', 'unet.final_res_block.block2.norm.weight', 'unet.final_res_block.block2.norm.bias', 'unet.final_res_block.res_conv.weight', 'unet.final_res_block.res_conv.bias', 'unet.final_conv.weight', 'unet.final_conv.bias', 'conv_seg_new.weight', 'conv_seg_new.bias'] +2023-03-04 18:46:38,584 - mmseg - INFO - Parameters in decode_head freezed! +2023-03-04 18:46:38,606 - mmseg - INFO - load checkpoint from local path: pretrained/segformer_mit-b2_512x512_160k_ade20k_20220620_114047-64e4feca.pth +2023-03-04 18:46:38,852 - mmseg - WARNING - The model and loaded state dict do not match exactly + +unexpected key in source state_dict: decode_head.conv_seg.weight, decode_head.conv_seg.bias, decode_head.convs.0.conv.weight, decode_head.convs.0.bn.weight, decode_head.convs.0.bn.bias, decode_head.convs.0.bn.running_mean, decode_head.convs.0.bn.running_var, 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pretrained/segformer_mit-b2_512x512_160k_ade20k_20220620_114047-64e4feca.pth +2023-03-04 18:46:39,075 - mmseg - WARNING - The model and loaded state dict do not match exactly + +unexpected key in source state_dict: backbone.layers.0.0.projection.weight, backbone.layers.0.0.projection.bias, backbone.layers.0.0.norm.weight, backbone.layers.0.0.norm.bias, backbone.layers.0.1.0.norm1.weight, backbone.layers.0.1.0.norm1.bias, backbone.layers.0.1.0.attn.attn.in_proj_weight, backbone.layers.0.1.0.attn.attn.in_proj_bias, backbone.layers.0.1.0.attn.attn.out_proj.weight, backbone.layers.0.1.0.attn.attn.out_proj.bias, backbone.layers.0.1.0.attn.sr.weight, backbone.layers.0.1.0.attn.sr.bias, backbone.layers.0.1.0.attn.norm.weight, backbone.layers.0.1.0.attn.norm.bias, backbone.layers.0.1.0.norm2.weight, backbone.layers.0.1.0.norm2.bias, backbone.layers.0.1.0.ffn.layers.0.weight, backbone.layers.0.1.0.ffn.layers.0.bias, backbone.layers.0.1.0.ffn.layers.1.weight, 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(4): Conv2d(1280, 320, kernel_size=(1, 1), stride=(1, 1)) + (5): Dropout(p=0.0, inplace=False) + ) + (dropout_layer): DropPath() + ) + ) + (5): TransformerEncoderLayer( + (norm1): LayerNorm((320,), eps=1e-06, elementwise_affine=True) + (attn): EfficientMultiheadAttention( + (attn): MultiheadAttention( + (out_proj): NonDynamicallyQuantizableLinear(in_features=320, out_features=320, bias=True) + ) + (proj_drop): Dropout(p=0.0, inplace=False) + (dropout_layer): DropPath() + (sr): Conv2d(320, 320, kernel_size=(2, 2), stride=(2, 2)) + (norm): LayerNorm((320,), eps=1e-06, elementwise_affine=True) + ) + (norm2): LayerNorm((320,), eps=1e-06, elementwise_affine=True) + (ffn): MixFFN( + (activate): GELU(approximate='none') + (layers): Sequential( + (0): Conv2d(320, 1280, kernel_size=(1, 1), stride=(1, 1)) + (1): Conv2d(1280, 1280, kernel_size=(3, 3), stride=(1, 1), padding=(1, 1), groups=1280) + (2): GELU(approximate='none') + (3): Dropout(p=0.0, inplace=False) + (4): Conv2d(1280, 320, kernel_size=(1, 1), stride=(1, 1)) + (5): Dropout(p=0.0, inplace=False) + ) + (dropout_layer): DropPath() + ) + ) + ) + (2): LayerNorm((320,), eps=1e-06, elementwise_affine=True) + ) + (3): ModuleList( + (0): PatchEmbed( + (projection): Conv2d(320, 512, kernel_size=(3, 3), stride=(2, 2), padding=(1, 1)) + (norm): LayerNorm((512,), eps=1e-06, elementwise_affine=True) + ) + (1): ModuleList( + (0): TransformerEncoderLayer( + (norm1): LayerNorm((512,), eps=1e-06, elementwise_affine=True) + (attn): EfficientMultiheadAttention( + (attn): MultiheadAttention( + (out_proj): NonDynamicallyQuantizableLinear(in_features=512, out_features=512, bias=True) + ) + (proj_drop): Dropout(p=0.0, inplace=False) + (dropout_layer): DropPath() + ) + (norm2): LayerNorm((512,), eps=1e-06, elementwise_affine=True) + (ffn): MixFFN( + (activate): GELU(approximate='none') + (layers): Sequential( + (0): Conv2d(512, 2048, kernel_size=(1, 1), stride=(1, 1)) + (1): Conv2d(2048, 2048, kernel_size=(3, 3), stride=(1, 1), padding=(1, 1), groups=2048) + (2): GELU(approximate='none') + (3): Dropout(p=0.0, inplace=False) + (4): Conv2d(2048, 512, kernel_size=(1, 1), stride=(1, 1)) + (5): Dropout(p=0.0, inplace=False) + ) + (dropout_layer): DropPath() + ) + ) + (1): TransformerEncoderLayer( + (norm1): LayerNorm((512,), eps=1e-06, elementwise_affine=True) + (attn): EfficientMultiheadAttention( + (attn): MultiheadAttention( + (out_proj): NonDynamicallyQuantizableLinear(in_features=512, out_features=512, bias=True) + ) + (proj_drop): Dropout(p=0.0, inplace=False) + (dropout_layer): DropPath() + ) + (norm2): LayerNorm((512,), eps=1e-06, elementwise_affine=True) + (ffn): MixFFN( + (activate): GELU(approximate='none') + (layers): Sequential( + (0): Conv2d(512, 2048, kernel_size=(1, 1), stride=(1, 1)) + (1): Conv2d(2048, 2048, kernel_size=(3, 3), stride=(1, 1), padding=(1, 1), groups=2048) + (2): GELU(approximate='none') + (3): Dropout(p=0.0, inplace=False) + (4): Conv2d(2048, 512, kernel_size=(1, 1), stride=(1, 1)) + (5): Dropout(p=0.0, inplace=False) + ) + (dropout_layer): DropPath() + ) + ) + (2): TransformerEncoderLayer( + (norm1): LayerNorm((512,), eps=1e-06, elementwise_affine=True) + (attn): EfficientMultiheadAttention( + (attn): MultiheadAttention( + (out_proj): NonDynamicallyQuantizableLinear(in_features=512, out_features=512, bias=True) + ) + (proj_drop): Dropout(p=0.0, inplace=False) + (dropout_layer): DropPath() + ) + (norm2): LayerNorm((512,), eps=1e-06, elementwise_affine=True) + (ffn): MixFFN( + (activate): GELU(approximate='none') + (layers): Sequential( + (0): Conv2d(512, 2048, kernel_size=(1, 1), stride=(1, 1)) + (1): Conv2d(2048, 2048, kernel_size=(3, 3), stride=(1, 1), padding=(1, 1), groups=2048) + (2): GELU(approximate='none') + (3): Dropout(p=0.0, inplace=False) + (4): Conv2d(2048, 512, kernel_size=(1, 1), stride=(1, 1)) + (5): Dropout(p=0.0, inplace=False) + ) + (dropout_layer): DropPath() + ) + ) + ) + (2): LayerNorm((512,), eps=1e-06, elementwise_affine=True) + ) + ) + ) + init_cfg={'type': 'Pretrained', 'checkpoint': 'pretrained/segformer_mit-b2_512x512_160k_ade20k_20220620_114047-64e4feca.pth'} + (decode_head): SegformerHeadUnetFCHeadSingleStepLogits( + input_transform=multiple_select, ignore_index=0, align_corners=False + (loss_decode): CrossEntropyLoss(avg_non_ignore=False) + (conv_seg): Conv2d(256, 150, kernel_size=(1, 1), stride=(1, 1)) + (dropout): Dropout2d(p=0.1, inplace=False) + (convs): ModuleList( + (0): ConvModule( + (conv): Conv2d(64, 256, kernel_size=(1, 1), stride=(1, 1), bias=False) + (bn): SyncBatchNorm(256, eps=1e-05, momentum=0.1, affine=True, track_running_stats=True) + (activate): ReLU(inplace=True) + ) + (1): ConvModule( + (conv): Conv2d(128, 256, kernel_size=(1, 1), stride=(1, 1), bias=False) + (bn): SyncBatchNorm(256, eps=1e-05, momentum=0.1, affine=True, track_running_stats=True) + (activate): ReLU(inplace=True) + ) + (2): ConvModule( + (conv): Conv2d(320, 256, kernel_size=(1, 1), stride=(1, 1), bias=False) + (bn): SyncBatchNorm(256, eps=1e-05, momentum=0.1, affine=True, track_running_stats=True) + (activate): ReLU(inplace=True) + ) + (3): ConvModule( + (conv): Conv2d(512, 256, kernel_size=(1, 1), stride=(1, 1), bias=False) + (bn): SyncBatchNorm(256, eps=1e-05, momentum=0.1, affine=True, track_running_stats=True) + (activate): ReLU(inplace=True) + ) + ) + (fusion_conv): ConvModule( + (conv): Conv2d(1024, 256, kernel_size=(1, 1), stride=(1, 1), bias=False) + (bn): SyncBatchNorm(256, eps=1e-05, momentum=0.1, affine=True, track_running_stats=True) + (activate): ReLU(inplace=True) + ) + (unet): Unet( + (init_conv): Conv2d(166, 128, kernel_size=(7, 7), stride=(1, 1), padding=(3, 3)) + (time_mlp): Sequential( + (0): SinusoidalPosEmb() + (1): Linear(in_features=128, out_features=512, bias=True) + (2): GELU(approximate='none') + (3): Linear(in_features=512, out_features=512, bias=True) + ) + (downs): ModuleList( + (0): ModuleList( + (0): ResnetBlock( + (mlp): Sequential( + (0): SiLU() + (1): Linear(in_features=512, out_features=256, bias=True) + ) + (block1): Block( + (proj): WeightStandardizedConv2d(128, 128, kernel_size=(3, 3), stride=(1, 1), padding=(1, 1)) + (norm): GroupNorm(8, 128, eps=1e-05, affine=True) + (act): SiLU() + ) + (block2): Block( + (proj): WeightStandardizedConv2d(128, 128, kernel_size=(3, 3), stride=(1, 1), padding=(1, 1)) + (norm): GroupNorm(8, 128, eps=1e-05, affine=True) + (act): SiLU() + ) + (res_conv): Identity() + ) + (1): ResnetBlock( + (mlp): Sequential( + (0): SiLU() + (1): Linear(in_features=512, out_features=256, bias=True) + ) + (block1): Block( + (proj): WeightStandardizedConv2d(128, 128, kernel_size=(3, 3), stride=(1, 1), padding=(1, 1)) + (norm): GroupNorm(8, 128, eps=1e-05, affine=True) + (act): SiLU() + ) + (block2): Block( + (proj): WeightStandardizedConv2d(128, 128, kernel_size=(3, 3), stride=(1, 1), padding=(1, 1)) + (norm): GroupNorm(8, 128, eps=1e-05, affine=True) + (act): SiLU() + ) + (res_conv): Identity() + ) + (2): Residual( + (fn): PreNorm( + (fn): LinearAttention( + (to_qkv): Conv2d(128, 384, kernel_size=(1, 1), stride=(1, 1), bias=False) + (to_out): Sequential( + (0): Conv2d(128, 128, kernel_size=(1, 1), stride=(1, 1)) + (1): LayerNorm() + ) + ) + (norm): LayerNorm() + ) + ) + (3): Conv2d(128, 128, kernel_size=(4, 4), stride=(2, 2), padding=(1, 1)) + ) + (1): ModuleList( + (0): ResnetBlock( + (mlp): Sequential( + (0): SiLU() + (1): Linear(in_features=512, out_features=256, bias=True) + ) + (block1): Block( + (proj): WeightStandardizedConv2d(128, 128, kernel_size=(3, 3), stride=(1, 1), padding=(1, 1)) + (norm): GroupNorm(8, 128, eps=1e-05, affine=True) + (act): SiLU() + ) + (block2): Block( + (proj): WeightStandardizedConv2d(128, 128, kernel_size=(3, 3), stride=(1, 1), padding=(1, 1)) + (norm): GroupNorm(8, 128, eps=1e-05, affine=True) + (act): SiLU() + ) + (res_conv): Identity() + ) + (1): ResnetBlock( + (mlp): Sequential( + (0): SiLU() + (1): Linear(in_features=512, out_features=256, bias=True) + ) + (block1): Block( + (proj): WeightStandardizedConv2d(128, 128, kernel_size=(3, 3), stride=(1, 1), padding=(1, 1)) + (norm): GroupNorm(8, 128, eps=1e-05, affine=True) + (act): SiLU() + ) + (block2): Block( + (proj): WeightStandardizedConv2d(128, 128, kernel_size=(3, 3), stride=(1, 1), padding=(1, 1)) + (norm): GroupNorm(8, 128, eps=1e-05, affine=True) + (act): SiLU() + ) + (res_conv): Identity() + ) + (2): Residual( + (fn): PreNorm( + (fn): LinearAttention( + (to_qkv): Conv2d(128, 384, kernel_size=(1, 1), stride=(1, 1), bias=False) + (to_out): Sequential( + (0): Conv2d(128, 128, kernel_size=(1, 1), stride=(1, 1)) + (1): LayerNorm() + ) + ) + (norm): LayerNorm() + ) + ) + (3): Conv2d(128, 128, kernel_size=(4, 4), stride=(2, 2), padding=(1, 1)) + ) + (2): ModuleList( + (0): ResnetBlock( + (mlp): Sequential( + (0): SiLU() + (1): Linear(in_features=512, out_features=256, bias=True) + ) + (block1): Block( + (proj): WeightStandardizedConv2d(128, 128, kernel_size=(3, 3), stride=(1, 1), padding=(1, 1)) + (norm): GroupNorm(8, 128, eps=1e-05, affine=True) + (act): SiLU() + ) + (block2): Block( + (proj): WeightStandardizedConv2d(128, 128, kernel_size=(3, 3), stride=(1, 1), padding=(1, 1)) + (norm): GroupNorm(8, 128, eps=1e-05, affine=True) + (act): SiLU() + ) + (res_conv): Identity() + ) + (1): ResnetBlock( + (mlp): Sequential( + (0): SiLU() + (1): Linear(in_features=512, out_features=256, bias=True) + ) + (block1): Block( + (proj): WeightStandardizedConv2d(128, 128, kernel_size=(3, 3), stride=(1, 1), padding=(1, 1)) + (norm): GroupNorm(8, 128, eps=1e-05, affine=True) + (act): SiLU() + ) + (block2): Block( + (proj): WeightStandardizedConv2d(128, 128, kernel_size=(3, 3), stride=(1, 1), padding=(1, 1)) + (norm): GroupNorm(8, 128, eps=1e-05, affine=True) + (act): SiLU() + ) + (res_conv): Identity() + ) + (2): Residual( + (fn): PreNorm( + (fn): LinearAttention( + (to_qkv): Conv2d(128, 384, kernel_size=(1, 1), stride=(1, 1), bias=False) + (to_out): Sequential( + (0): Conv2d(128, 128, kernel_size=(1, 1), stride=(1, 1)) + (1): LayerNorm() + ) + ) + (norm): LayerNorm() + ) + ) + (3): Conv2d(128, 128, kernel_size=(3, 3), stride=(1, 1), padding=(1, 1)) + ) + ) + (ups): ModuleList( + (0): ModuleList( + (0): ResnetBlock( + (mlp): Sequential( + (0): SiLU() + (1): Linear(in_features=512, out_features=256, bias=True) + ) + (block1): Block( + (proj): WeightStandardizedConv2d(256, 128, kernel_size=(3, 3), stride=(1, 1), padding=(1, 1)) + (norm): GroupNorm(8, 128, eps=1e-05, affine=True) + (act): SiLU() + ) + (block2): Block( + (proj): WeightStandardizedConv2d(128, 128, kernel_size=(3, 3), stride=(1, 1), padding=(1, 1)) + (norm): GroupNorm(8, 128, eps=1e-05, affine=True) + (act): SiLU() + ) + (res_conv): Conv2d(256, 128, kernel_size=(1, 1), stride=(1, 1)) + ) + (1): ResnetBlock( + (mlp): Sequential( + (0): SiLU() + (1): Linear(in_features=512, out_features=256, bias=True) + ) + (block1): Block( + (proj): WeightStandardizedConv2d(256, 128, kernel_size=(3, 3), stride=(1, 1), padding=(1, 1)) + (norm): GroupNorm(8, 128, eps=1e-05, affine=True) + (act): SiLU() + ) + (block2): Block( + (proj): WeightStandardizedConv2d(128, 128, kernel_size=(3, 3), stride=(1, 1), padding=(1, 1)) + (norm): GroupNorm(8, 128, eps=1e-05, affine=True) + (act): SiLU() + ) + (res_conv): Conv2d(256, 128, kernel_size=(1, 1), stride=(1, 1)) + ) + (2): Residual( + (fn): PreNorm( + (fn): LinearAttention( + (to_qkv): Conv2d(128, 384, kernel_size=(1, 1), stride=(1, 1), bias=False) + (to_out): Sequential( + (0): Conv2d(128, 128, kernel_size=(1, 1), stride=(1, 1)) + (1): LayerNorm() + ) + ) + (norm): LayerNorm() + ) + ) + (3): Sequential( + (0): Upsample(scale_factor=2.0, mode=nearest) + (1): Conv2d(128, 128, kernel_size=(3, 3), stride=(1, 1), padding=(1, 1)) + ) + ) + (1): ModuleList( + (0): ResnetBlock( + (mlp): Sequential( + (0): SiLU() + (1): Linear(in_features=512, out_features=256, bias=True) + ) + (block1): Block( + (proj): WeightStandardizedConv2d(256, 128, kernel_size=(3, 3), stride=(1, 1), padding=(1, 1)) + (norm): GroupNorm(8, 128, eps=1e-05, affine=True) + (act): SiLU() + ) + (block2): Block( + (proj): WeightStandardizedConv2d(128, 128, kernel_size=(3, 3), stride=(1, 1), padding=(1, 1)) + (norm): GroupNorm(8, 128, eps=1e-05, affine=True) + (act): SiLU() + ) + (res_conv): Conv2d(256, 128, kernel_size=(1, 1), stride=(1, 1)) + ) + (1): ResnetBlock( + (mlp): Sequential( + (0): SiLU() + (1): Linear(in_features=512, out_features=256, bias=True) + ) + (block1): Block( + (proj): WeightStandardizedConv2d(256, 128, kernel_size=(3, 3), stride=(1, 1), padding=(1, 1)) + (norm): GroupNorm(8, 128, eps=1e-05, affine=True) + (act): SiLU() + ) + (block2): Block( + (proj): WeightStandardizedConv2d(128, 128, kernel_size=(3, 3), stride=(1, 1), padding=(1, 1)) + (norm): GroupNorm(8, 128, eps=1e-05, affine=True) + (act): SiLU() + ) + (res_conv): Conv2d(256, 128, kernel_size=(1, 1), stride=(1, 1)) + ) + (2): Residual( + (fn): PreNorm( + (fn): LinearAttention( + (to_qkv): Conv2d(128, 384, kernel_size=(1, 1), stride=(1, 1), bias=False) + (to_out): Sequential( + (0): Conv2d(128, 128, kernel_size=(1, 1), stride=(1, 1)) + (1): LayerNorm() + ) + ) + (norm): LayerNorm() + ) + ) + (3): Sequential( + (0): Upsample(scale_factor=2.0, mode=nearest) + (1): Conv2d(128, 128, kernel_size=(3, 3), stride=(1, 1), padding=(1, 1)) + ) + ) + (2): ModuleList( + (0): ResnetBlock( + (mlp): Sequential( + (0): SiLU() + (1): Linear(in_features=512, out_features=256, bias=True) + ) + (block1): Block( + (proj): WeightStandardizedConv2d(256, 128, kernel_size=(3, 3), stride=(1, 1), padding=(1, 1)) + (norm): GroupNorm(8, 128, eps=1e-05, affine=True) + (act): SiLU() + ) + (block2): Block( + (proj): WeightStandardizedConv2d(128, 128, kernel_size=(3, 3), stride=(1, 1), padding=(1, 1)) + (norm): GroupNorm(8, 128, eps=1e-05, affine=True) + (act): SiLU() + ) + (res_conv): Conv2d(256, 128, kernel_size=(1, 1), stride=(1, 1)) + ) + (1): ResnetBlock( + (mlp): Sequential( + (0): SiLU() + (1): Linear(in_features=512, out_features=256, bias=True) + ) + (block1): Block( + (proj): WeightStandardizedConv2d(256, 128, kernel_size=(3, 3), stride=(1, 1), padding=(1, 1)) + (norm): GroupNorm(8, 128, eps=1e-05, affine=True) + (act): SiLU() + ) + (block2): Block( + (proj): WeightStandardizedConv2d(128, 128, kernel_size=(3, 3), stride=(1, 1), padding=(1, 1)) + (norm): GroupNorm(8, 128, eps=1e-05, affine=True) + (act): SiLU() + ) + (res_conv): Conv2d(256, 128, kernel_size=(1, 1), stride=(1, 1)) + ) + (2): Residual( + (fn): PreNorm( + (fn): LinearAttention( + (to_qkv): Conv2d(128, 384, kernel_size=(1, 1), stride=(1, 1), bias=False) + (to_out): Sequential( + (0): Conv2d(128, 128, kernel_size=(1, 1), stride=(1, 1)) + (1): LayerNorm() + ) + ) + (norm): LayerNorm() + ) + ) + (3): Conv2d(128, 128, kernel_size=(3, 3), stride=(1, 1), padding=(1, 1)) + ) + ) + (mid_block1): ResnetBlock( + (mlp): Sequential( + (0): SiLU() + (1): Linear(in_features=512, out_features=256, bias=True) + ) + (block1): Block( + (proj): WeightStandardizedConv2d(128, 128, kernel_size=(3, 3), stride=(1, 1), padding=(1, 1)) + (norm): GroupNorm(8, 128, eps=1e-05, affine=True) + (act): SiLU() + ) + (block2): Block( + (proj): WeightStandardizedConv2d(128, 128, kernel_size=(3, 3), stride=(1, 1), padding=(1, 1)) + (norm): GroupNorm(8, 128, eps=1e-05, affine=True) + (act): SiLU() + ) + (res_conv): Identity() + ) + (mid_attn): Residual( + (fn): PreNorm( + (fn): Attention( + (to_qkv): Conv2d(128, 384, kernel_size=(1, 1), stride=(1, 1), bias=False) + (to_out): Conv2d(128, 128, kernel_size=(1, 1), stride=(1, 1)) + ) + (norm): LayerNorm() + ) + ) + (mid_block2): ResnetBlock( + (mlp): Sequential( + (0): SiLU() + (1): Linear(in_features=512, out_features=256, bias=True) + ) + (block1): Block( + (proj): WeightStandardizedConv2d(128, 128, kernel_size=(3, 3), stride=(1, 1), padding=(1, 1)) + (norm): GroupNorm(8, 128, eps=1e-05, affine=True) + (act): SiLU() + ) + (block2): Block( + (proj): WeightStandardizedConv2d(128, 128, kernel_size=(3, 3), stride=(1, 1), padding=(1, 1)) + (norm): GroupNorm(8, 128, eps=1e-05, affine=True) + (act): SiLU() + ) + (res_conv): Identity() + ) + (final_res_block): ResnetBlock( + (mlp): Sequential( + (0): SiLU() + (1): Linear(in_features=512, out_features=256, bias=True) + ) + (block1): Block( + (proj): WeightStandardizedConv2d(256, 128, kernel_size=(3, 3), stride=(1, 1), padding=(1, 1)) + (norm): GroupNorm(8, 128, eps=1e-05, affine=True) + (act): SiLU() + ) + (block2): Block( + (proj): WeightStandardizedConv2d(128, 128, kernel_size=(3, 3), stride=(1, 1), padding=(1, 1)) + (norm): GroupNorm(8, 128, eps=1e-05, affine=True) + (act): SiLU() + ) + (res_conv): Conv2d(256, 128, kernel_size=(1, 1), stride=(1, 1)) + ) + (final_conv): Conv2d(128, 256, kernel_size=(1, 1), stride=(1, 1)) + ) + (conv_seg_new): Conv2d(256, 151, kernel_size=(1, 1), stride=(1, 1)) + (embed): Embedding(151, 16) + ) + init_cfg={'type': 'Pretrained', 'checkpoint': 'pretrained/segformer_mit-b2_512x512_160k_ade20k_20220620_114047-64e4feca.pth'} +) +2023-03-04 18:46:40,019 - mmseg - INFO - Loaded 20210 images +2023-03-04 18:46:41,028 - mmseg - INFO - Loaded 2000 images +2023-03-04 18:46:41,033 - mmseg - INFO - load checkpoint from local path: ./work_dirs2/ablation_segformer_mit_b2_segformer_head_unet_fc_single_step_ade_pretrained_freeze_embed_80k_ade20k151_logits/latest.pth +2023-03-04 18:46:41,696 - mmseg - INFO - resumed from epoch: 13, iter 7999 +2023-03-04 18:46:41,697 - mmseg - INFO - Start running, host: laizeqiang@SH-IDC1-10-140-37-114, work_dir: /mnt/petrelfs/laizeqiang/mmseg-baseline/work_dirs2/ablation_segformer_mit_b2_segformer_head_unet_fc_single_step_ade_pretrained_freeze_embed_80k_ade20k151_logits +2023-03-04 18:46:41,697 - mmseg - INFO - Hooks will be executed in the following order: +before_run: +(VERY_HIGH ) StepLrUpdaterHook +(NORMAL ) CheckpointHook +(LOW ) DistEvalHook +(VERY_LOW ) TextLoggerHook + -------------------- +before_train_epoch: +(VERY_HIGH ) StepLrUpdaterHook +(LOW ) IterTimerHook +(LOW ) DistEvalHook +(VERY_LOW ) TextLoggerHook + -------------------- +before_train_iter: +(VERY_HIGH ) StepLrUpdaterHook +(LOW ) IterTimerHook +(LOW ) DistEvalHook + -------------------- +after_train_iter: +(ABOVE_NORMAL) OptimizerHook +(NORMAL ) CheckpointHook +(LOW ) IterTimerHook +(LOW ) DistEvalHook +(VERY_LOW ) TextLoggerHook + -------------------- +after_train_epoch: +(NORMAL ) CheckpointHook +(LOW ) DistEvalHook +(VERY_LOW ) TextLoggerHook + -------------------- +before_val_epoch: +(LOW ) IterTimerHook +(VERY_LOW ) TextLoggerHook + -------------------- +before_val_iter: +(LOW ) IterTimerHook + -------------------- +after_val_iter: +(LOW ) IterTimerHook + -------------------- +after_val_epoch: +(VERY_LOW ) TextLoggerHook + -------------------- +after_run: +(VERY_LOW ) TextLoggerHook + -------------------- +2023-03-04 18:46:41,698 - mmseg - INFO - workflow: [('train', 1)], max: 80000 iters +2023-03-04 18:46:41,698 - mmseg - INFO - Checkpoints will be saved to /mnt/petrelfs/laizeqiang/mmseg-baseline/work_dirs2/ablation_segformer_mit_b2_segformer_head_unet_fc_single_step_ade_pretrained_freeze_embed_80k_ade20k151_logits by HardDiskBackend. diff --git a/ablation/ablation_segformer_mit_b2_segformer_head_unet_fc_single_step_ade_pretrained_freeze_embed_80k_ade20k151_logits/20230304_184631.log.json b/ablation/ablation_segformer_mit_b2_segformer_head_unet_fc_single_step_ade_pretrained_freeze_embed_80k_ade20k151_logits/20230304_184631.log.json new file mode 100644 index 0000000000000000000000000000000000000000..9dd50451da41d144c2b31afd97033e02519d906e --- /dev/null +++ b/ablation/ablation_segformer_mit_b2_segformer_head_unet_fc_single_step_ade_pretrained_freeze_embed_80k_ade20k151_logits/20230304_184631.log.json @@ -0,0 +1 @@ +{"env_info": "sys.platform: linux\nPython: 3.7.16 (default, Jan 17 2023, 22:20:44) [GCC 11.2.0]\nCUDA available: True\nGPU 0,1,2,3,4,5,6,7: NVIDIA A100-SXM4-80GB\nCUDA_HOME: /mnt/petrelfs/laizeqiang/miniconda3/envs/torch\nNVCC: Cuda compilation tools, release 11.6, V11.6.124\nGCC: gcc (GCC) 4.8.5 20150623 (Red Hat 4.8.5-44)\nPyTorch: 1.13.1\nPyTorch compiling details: PyTorch built with:\n - GCC 9.3\n - C++ Version: 201402\n - Intel(R) oneAPI Math Kernel Library Version 2021.4-Product Build 20210904 for Intel(R) 64 architecture applications\n - Intel(R) MKL-DNN v2.6.0 (Git Hash 52b5f107dd9cf10910aaa19cb47f3abf9b349815)\n - OpenMP 201511 (a.k.a. OpenMP 4.5)\n - LAPACK is enabled (usually provided by MKL)\n - NNPACK is enabled\n - CPU capability usage: AVX2\n - CUDA Runtime 11.6\n - NVCC architecture flags: -gencode;arch=compute_37,code=sm_37;-gencode;arch=compute_50,code=sm_50;-gencode;arch=compute_60,code=sm_60;-gencode;arch=compute_61,code=sm_61;-gencode;arch=compute_70,code=sm_70;-gencode;arch=compute_75,code=sm_75;-gencode;arch=compute_80,code=sm_80;-gencode;arch=compute_86,code=sm_86;-gencode;arch=compute_37,code=compute_37\n - CuDNN 8.3.2 (built against CUDA 11.5)\n - Magma 2.6.1\n - Build settings: BLAS_INFO=mkl, BUILD_TYPE=Release, CUDA_VERSION=11.6, CUDNN_VERSION=8.3.2, CXX_COMPILER=/opt/rh/devtoolset-9/root/usr/bin/c++, CXX_FLAGS= -fabi-version=11 -Wno-deprecated -fvisibility-inlines-hidden -DUSE_PTHREADPOOL -fopenmp -DNDEBUG -DUSE_KINETO -DUSE_FBGEMM -DUSE_QNNPACK -DUSE_PYTORCH_QNNPACK -DUSE_XNNPACK -DSYMBOLICATE_MOBILE_DEBUG_HANDLE -DEDGE_PROFILER_USE_KINETO -O2 -fPIC -Wno-narrowing -Wall -Wextra -Werror=return-type -Werror=non-virtual-dtor -Wno-missing-field-initializers -Wno-type-limits -Wno-array-bounds -Wno-unknown-pragmas -Wunused-local-typedefs -Wno-unused-parameter -Wno-unused-function -Wno-unused-result -Wno-strict-overflow -Wno-strict-aliasing -Wno-error=deprecated-declarations -Wno-stringop-overflow -Wno-psabi -Wno-error=pedantic -Wno-error=redundant-decls -Wno-error=old-style-cast -fdiagnostics-color=always -faligned-new -Wno-unused-but-set-variable -Wno-maybe-uninitialized -fno-math-errno -fno-trapping-math -Werror=format -Werror=cast-function-type -Wno-stringop-overflow, LAPACK_INFO=mkl, PERF_WITH_AVX=1, PERF_WITH_AVX2=1, PERF_WITH_AVX512=1, TORCH_VERSION=1.13.1, USE_CUDA=ON, USE_CUDNN=ON, USE_EXCEPTION_PTR=1, USE_GFLAGS=OFF, USE_GLOG=OFF, USE_MKL=ON, USE_MKLDNN=ON, USE_MPI=OFF, USE_NCCL=ON, USE_NNPACK=ON, USE_OPENMP=ON, USE_ROCM=OFF, \n\nTorchVision: 0.14.1\nOpenCV: 4.7.0\nMMCV: 1.7.1\nMMCV Compiler: GCC 9.3\nMMCV CUDA Compiler: 11.6\nMMSegmentation: 0.30.0+6749699", "seed": 1082958590, "exp_name": "ablation_segformer_mit_b2_segformer_head_unet_fc_single_step_ade_pretrained_freeze_embed_80k_ade20k151_logits.py", "mmseg_version": "0.30.0+6749699", "config": "norm_cfg = dict(type='SyncBN', requires_grad=True)\ncheckpoint = 'pretrained/segformer_mit-b2_512x512_160k_ade20k_20220620_114047-64e4feca.pth'\nmodel = dict(\n type='EncoderDecoderFreeze',\n freeze_parameters=['backbone', 'decode_head'],\n pretrained=\n 'pretrained/segformer_mit-b2_512x512_160k_ade20k_20220620_114047-64e4feca.pth',\n backbone=dict(\n type='MixVisionTransformerCustomInitWeights',\n in_channels=3,\n embed_dims=64,\n num_stages=4,\n num_layers=[3, 4, 6, 3],\n num_heads=[1, 2, 5, 8],\n patch_sizes=[7, 3, 3, 3],\n sr_ratios=[8, 4, 2, 1],\n out_indices=(0, 1, 2, 3),\n mlp_ratio=4,\n qkv_bias=True,\n drop_rate=0.0,\n attn_drop_rate=0.0,\n drop_path_rate=0.1,\n pretrained=\n 'pretrained/segformer_mit-b2_512x512_160k_ade20k_20220620_114047-64e4feca.pth'\n ),\n decode_head=dict(\n type='SegformerHeadUnetFCHeadSingleStepLogits',\n pretrained=\n 'pretrained/segformer_mit-b2_512x512_160k_ade20k_20220620_114047-64e4feca.pth',\n dim=128,\n out_dim=256,\n unet_channels=166,\n dim_mults=[1, 1, 1],\n cat_embedding_dim=16,\n in_channels=[64, 128, 320, 512],\n in_index=[0, 1, 2, 3],\n channels=256,\n dropout_ratio=0.1,\n num_classes=151,\n norm_cfg=dict(type='SyncBN', requires_grad=True),\n align_corners=False,\n ignore_index=0,\n loss_decode=dict(\n type='CrossEntropyLoss', use_sigmoid=False, loss_weight=1.0)),\n train_cfg=dict(),\n test_cfg=dict(mode='whole'))\ndataset_type = 'ADE20K151Dataset'\ndata_root = 'data/ade/ADEChallengeData2016'\nimg_norm_cfg = dict(\n mean=[123.675, 116.28, 103.53], std=[58.395, 57.12, 57.375], to_rgb=True)\ncrop_size = (512, 512)\ntrain_pipeline = [\n dict(type='LoadImageFromFile'),\n dict(type='LoadAnnotations', reduce_zero_label=False),\n dict(type='Resize', img_scale=(2048, 512), ratio_range=(0.5, 2.0)),\n dict(type='RandomCrop', crop_size=(512, 512), cat_max_ratio=0.75),\n dict(type='RandomFlip', prob=0.5),\n dict(type='PhotoMetricDistortion'),\n dict(\n type='Normalize',\n mean=[123.675, 116.28, 103.53],\n std=[58.395, 57.12, 57.375],\n to_rgb=True),\n dict(type='Pad', size=(512, 512), pad_val=0, seg_pad_val=0),\n dict(type='DefaultFormatBundle'),\n dict(type='Collect', keys=['img', 'gt_semantic_seg'])\n]\ntest_pipeline = [\n dict(type='LoadImageFromFile'),\n dict(\n type='MultiScaleFlipAug',\n img_scale=(2048, 512),\n flip=False,\n transforms=[\n dict(type='Resize', keep_ratio=True),\n dict(type='RandomFlip'),\n dict(\n type='Normalize',\n mean=[123.675, 116.28, 103.53],\n std=[58.395, 57.12, 57.375],\n to_rgb=True),\n dict(type='Pad', size_divisor=16, pad_val=0, seg_pad_val=0),\n dict(type='ImageToTensor', keys=['img']),\n dict(type='Collect', keys=['img'])\n ])\n]\ndata = dict(\n samples_per_gpu=4,\n workers_per_gpu=4,\n train=dict(\n type='ADE20K151Dataset',\n data_root='data/ade/ADEChallengeData2016',\n img_dir='images/training',\n ann_dir='annotations/training',\n pipeline=[\n dict(type='LoadImageFromFile'),\n dict(type='LoadAnnotations', reduce_zero_label=False),\n dict(type='Resize', img_scale=(2048, 512), ratio_range=(0.5, 2.0)),\n dict(type='RandomCrop', crop_size=(512, 512), cat_max_ratio=0.75),\n dict(type='RandomFlip', prob=0.5),\n dict(type='PhotoMetricDistortion'),\n dict(\n type='Normalize',\n mean=[123.675, 116.28, 103.53],\n std=[58.395, 57.12, 57.375],\n to_rgb=True),\n dict(type='Pad', size=(512, 512), pad_val=0, seg_pad_val=0),\n dict(type='DefaultFormatBundle'),\n dict(type='Collect', keys=['img', 'gt_semantic_seg'])\n ]),\n val=dict(\n type='ADE20K151Dataset',\n data_root='data/ade/ADEChallengeData2016',\n img_dir='images/validation',\n ann_dir='annotations/validation',\n pipeline=[\n dict(type='LoadImageFromFile'),\n dict(\n type='MultiScaleFlipAug',\n img_scale=(2048, 512),\n flip=False,\n transforms=[\n dict(type='Resize', keep_ratio=True),\n dict(type='RandomFlip'),\n dict(\n type='Normalize',\n mean=[123.675, 116.28, 103.53],\n std=[58.395, 57.12, 57.375],\n to_rgb=True),\n dict(\n type='Pad', size_divisor=16, pad_val=0, seg_pad_val=0),\n dict(type='ImageToTensor', keys=['img']),\n dict(type='Collect', keys=['img'])\n ])\n ]),\n test=dict(\n type='ADE20K151Dataset',\n data_root='data/ade/ADEChallengeData2016',\n img_dir='images/validation',\n ann_dir='annotations/validation',\n pipeline=[\n dict(type='LoadImageFromFile'),\n dict(\n type='MultiScaleFlipAug',\n img_scale=(2048, 512),\n flip=False,\n transforms=[\n dict(type='Resize', keep_ratio=True),\n dict(type='RandomFlip'),\n dict(\n type='Normalize',\n mean=[123.675, 116.28, 103.53],\n std=[58.395, 57.12, 57.375],\n to_rgb=True),\n dict(\n type='Pad', size_divisor=16, pad_val=0, seg_pad_val=0),\n dict(type='ImageToTensor', keys=['img']),\n dict(type='Collect', keys=['img'])\n ])\n ]))\nlog_config = dict(\n interval=50, hooks=[dict(type='TextLoggerHook', by_epoch=False)])\ndist_params = dict(backend='nccl')\nlog_level = 'INFO'\nload_from = None\nresume_from = None\nworkflow = [('train', 1)]\ncudnn_benchmark = True\noptimizer = dict(\n type='AdamW', lr=0.00015, betas=[0.9, 0.96], weight_decay=0.045)\noptimizer_config = dict()\nlr_config = dict(\n policy='step',\n warmup='linear',\n warmup_iters=1000,\n warmup_ratio=1e-06,\n step=10000,\n gamma=0.5,\n min_lr=1e-06,\n by_epoch=False)\nrunner = dict(type='IterBasedRunner', max_iters=80000)\ncheckpoint_config = dict(by_epoch=False, interval=8000)\nevaluation = dict(\n interval=8000, metric='mIoU', pre_eval=True, save_best='mIoU')\nwork_dir = './work_dirs2/ablation_segformer_mit_b2_segformer_head_unet_fc_single_step_ade_pretrained_freeze_embed_80k_ade20k151_logits'\ngpu_ids = range(0, 8)\nauto_resume = True\ndevice = 'cuda'\nseed = 1082958590\n", "CLASSES": ["background", "wall", "building", "sky", "floor", "tree", "ceiling", "road", "bed ", "windowpane", 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b/ablation/ablation_segformer_mit_b2_segformer_head_unet_fc_single_step_ade_pretrained_freeze_embed_80k_ade20k151_logits/20230304_190322.log new file mode 100644 index 0000000000000000000000000000000000000000..1b96a827b6fc42683a098fb874ee443fb0784350 --- /dev/null +++ b/ablation/ablation_segformer_mit_b2_segformer_head_unet_fc_single_step_ade_pretrained_freeze_embed_80k_ade20k151_logits/20230304_190322.log @@ -0,0 +1,1139 @@ +2023-03-04 19:03:22,024 - mmseg - INFO - Multi-processing start method is `None` +2023-03-04 19:03:22,039 - mmseg - INFO - OpenCV num_threads is `128 +2023-03-04 19:03:22,039 - mmseg - INFO - OMP num threads is 1 +2023-03-04 19:03:22,100 - mmseg - INFO - Environment info: +------------------------------------------------------------ +sys.platform: linux +Python: 3.7.16 (default, Jan 17 2023, 22:20:44) [GCC 11.2.0] +CUDA available: True +GPU 0,1,2,3,4,5,6,7: NVIDIA A100-SXM4-80GB +CUDA_HOME: /mnt/petrelfs/laizeqiang/miniconda3/envs/torch +NVCC: Cuda compilation tools, release 11.6, V11.6.124 +GCC: gcc (GCC) 4.8.5 20150623 (Red Hat 4.8.5-44) +PyTorch: 1.13.1 +PyTorch compiling details: PyTorch built with: + - GCC 9.3 + - C++ Version: 201402 + - Intel(R) oneAPI Math Kernel Library Version 2021.4-Product Build 20210904 for Intel(R) 64 architecture applications + - Intel(R) MKL-DNN v2.6.0 (Git Hash 52b5f107dd9cf10910aaa19cb47f3abf9b349815) + - OpenMP 201511 (a.k.a. OpenMP 4.5) + - LAPACK is enabled (usually provided by MKL) + - NNPACK is enabled + - CPU capability usage: AVX2 + - CUDA Runtime 11.6 + - NVCC architecture flags: -gencode;arch=compute_37,code=sm_37;-gencode;arch=compute_50,code=sm_50;-gencode;arch=compute_60,code=sm_60;-gencode;arch=compute_61,code=sm_61;-gencode;arch=compute_70,code=sm_70;-gencode;arch=compute_75,code=sm_75;-gencode;arch=compute_80,code=sm_80;-gencode;arch=compute_86,code=sm_86;-gencode;arch=compute_37,code=compute_37 + - CuDNN 8.3.2 (built against CUDA 11.5) + - Magma 2.6.1 + - Build settings: BLAS_INFO=mkl, BUILD_TYPE=Release, CUDA_VERSION=11.6, CUDNN_VERSION=8.3.2, CXX_COMPILER=/opt/rh/devtoolset-9/root/usr/bin/c++, CXX_FLAGS= -fabi-version=11 -Wno-deprecated -fvisibility-inlines-hidden -DUSE_PTHREADPOOL -fopenmp -DNDEBUG -DUSE_KINETO -DUSE_FBGEMM -DUSE_QNNPACK -DUSE_PYTORCH_QNNPACK -DUSE_XNNPACK -DSYMBOLICATE_MOBILE_DEBUG_HANDLE -DEDGE_PROFILER_USE_KINETO -O2 -fPIC -Wno-narrowing -Wall -Wextra -Werror=return-type -Werror=non-virtual-dtor -Wno-missing-field-initializers -Wno-type-limits -Wno-array-bounds -Wno-unknown-pragmas -Wunused-local-typedefs -Wno-unused-parameter -Wno-unused-function -Wno-unused-result -Wno-strict-overflow -Wno-strict-aliasing -Wno-error=deprecated-declarations -Wno-stringop-overflow -Wno-psabi -Wno-error=pedantic -Wno-error=redundant-decls -Wno-error=old-style-cast -fdiagnostics-color=always -faligned-new -Wno-unused-but-set-variable -Wno-maybe-uninitialized -fno-math-errno -fno-trapping-math -Werror=format -Werror=cast-function-type -Wno-stringop-overflow, LAPACK_INFO=mkl, PERF_WITH_AVX=1, PERF_WITH_AVX2=1, PERF_WITH_AVX512=1, TORCH_VERSION=1.13.1, USE_CUDA=ON, USE_CUDNN=ON, USE_EXCEPTION_PTR=1, USE_GFLAGS=OFF, USE_GLOG=OFF, USE_MKL=ON, USE_MKLDNN=ON, USE_MPI=OFF, USE_NCCL=ON, USE_NNPACK=ON, USE_OPENMP=ON, USE_ROCM=OFF, + +TorchVision: 0.14.1 +OpenCV: 4.7.0 +MMCV: 1.7.1 +MMCV Compiler: GCC 9.3 +MMCV CUDA Compiler: 11.6 +MMSegmentation: 0.30.0+6749699 +------------------------------------------------------------ + +2023-03-04 19:03:22,100 - mmseg - INFO - Distributed training: True +2023-03-04 19:03:22,820 - mmseg - INFO - Config: +norm_cfg = dict(type='SyncBN', requires_grad=True) +checkpoint = 'pretrained/segformer_mit-b2_512x512_160k_ade20k_20220620_114047-64e4feca.pth' +model = dict( + type='EncoderDecoderFreeze', + freeze_parameters=['backbone', 'decode_head'], + pretrained= + 'pretrained/segformer_mit-b2_512x512_160k_ade20k_20220620_114047-64e4feca.pth', + backbone=dict( + type='MixVisionTransformerCustomInitWeights', + in_channels=3, + embed_dims=64, + num_stages=4, + num_layers=[3, 4, 6, 3], + num_heads=[1, 2, 5, 8], + patch_sizes=[7, 3, 3, 3], + sr_ratios=[8, 4, 2, 1], + out_indices=(0, 1, 2, 3), + mlp_ratio=4, + qkv_bias=True, + drop_rate=0.0, + attn_drop_rate=0.0, + drop_path_rate=0.1), + decode_head=dict( + type='SegformerHeadUnetFCHeadSingleStepLogits', + pretrained= + 'pretrained/segformer_mit-b2_512x512_160k_ade20k_20220620_114047-64e4feca.pth', + dim=128, + out_dim=256, + unet_channels=166, + dim_mults=[1, 1, 1], + cat_embedding_dim=16, + in_channels=[64, 128, 320, 512], + in_index=[0, 1, 2, 3], + channels=256, + dropout_ratio=0.1, + num_classes=151, + norm_cfg=dict(type='SyncBN', requires_grad=True), + align_corners=False, + ignore_index=0, + loss_decode=dict( + type='CrossEntropyLoss', use_sigmoid=False, loss_weight=1.0)), + train_cfg=dict(), + test_cfg=dict(mode='whole')) +dataset_type = 'ADE20K151Dataset' +data_root = 'data/ade/ADEChallengeData2016' +img_norm_cfg = dict( + mean=[123.675, 116.28, 103.53], std=[58.395, 57.12, 57.375], to_rgb=True) +crop_size = (512, 512) +train_pipeline = [ + dict(type='LoadImageFromFile'), + dict(type='LoadAnnotations', reduce_zero_label=False), + dict(type='Resize', img_scale=(2048, 512), ratio_range=(0.5, 2.0)), + dict(type='RandomCrop', crop_size=(512, 512), cat_max_ratio=0.75), + dict(type='RandomFlip', prob=0.5), + dict(type='PhotoMetricDistortion'), + dict( + type='Normalize', + mean=[123.675, 116.28, 103.53], + std=[58.395, 57.12, 57.375], + to_rgb=True), + dict(type='Pad', size=(512, 512), pad_val=0, seg_pad_val=0), + dict(type='DefaultFormatBundle'), + dict(type='Collect', keys=['img', 'gt_semantic_seg']) +] +test_pipeline = [ + dict(type='LoadImageFromFile'), + dict( + type='MultiScaleFlipAug', + img_scale=(2048, 512), + flip=False, + transforms=[ + dict(type='Resize', keep_ratio=True), + dict(type='RandomFlip'), + dict( + type='Normalize', + mean=[123.675, 116.28, 103.53], + std=[58.395, 57.12, 57.375], + to_rgb=True), + dict(type='Pad', size_divisor=16, pad_val=0, seg_pad_val=0), + dict(type='ImageToTensor', keys=['img']), + dict(type='Collect', keys=['img']) + ]) +] +data = dict( + samples_per_gpu=4, + workers_per_gpu=4, + train=dict( + type='ADE20K151Dataset', + data_root='data/ade/ADEChallengeData2016', + img_dir='images/training', + ann_dir='annotations/training', + pipeline=[ + dict(type='LoadImageFromFile'), + dict(type='LoadAnnotations', reduce_zero_label=False), + dict(type='Resize', img_scale=(2048, 512), ratio_range=(0.5, 2.0)), + dict(type='RandomCrop', crop_size=(512, 512), cat_max_ratio=0.75), + dict(type='RandomFlip', prob=0.5), + dict(type='PhotoMetricDistortion'), + dict( + type='Normalize', + mean=[123.675, 116.28, 103.53], + std=[58.395, 57.12, 57.375], + to_rgb=True), + dict(type='Pad', size=(512, 512), pad_val=0, seg_pad_val=0), + dict(type='DefaultFormatBundle'), + dict(type='Collect', keys=['img', 'gt_semantic_seg']) + ]), + val=dict( + type='ADE20K151Dataset', + data_root='data/ade/ADEChallengeData2016', + img_dir='images/validation', + ann_dir='annotations/validation', + pipeline=[ + dict(type='LoadImageFromFile'), + dict( + type='MultiScaleFlipAug', + img_scale=(2048, 512), + flip=False, + transforms=[ + dict(type='Resize', keep_ratio=True), + dict(type='RandomFlip'), + dict( + type='Normalize', + mean=[123.675, 116.28, 103.53], + std=[58.395, 57.12, 57.375], + to_rgb=True), + dict( + type='Pad', size_divisor=16, pad_val=0, seg_pad_val=0), + dict(type='ImageToTensor', keys=['img']), + dict(type='Collect', keys=['img']) + ]) + ]), + test=dict( + type='ADE20K151Dataset', + data_root='data/ade/ADEChallengeData2016', + img_dir='images/validation', + ann_dir='annotations/validation', + pipeline=[ + dict(type='LoadImageFromFile'), + dict( + type='MultiScaleFlipAug', + img_scale=(2048, 512), + flip=False, + transforms=[ + dict(type='Resize', keep_ratio=True), + dict(type='RandomFlip'), + dict( + type='Normalize', + mean=[123.675, 116.28, 103.53], + std=[58.395, 57.12, 57.375], + to_rgb=True), + dict( + type='Pad', size_divisor=16, pad_val=0, seg_pad_val=0), + dict(type='ImageToTensor', keys=['img']), + dict(type='Collect', keys=['img']) + ]) + ])) +log_config = dict( + interval=50, hooks=[dict(type='TextLoggerHook', by_epoch=False)]) +dist_params = dict(backend='nccl') +log_level = 'INFO' +load_from = None +resume_from = None +workflow = [('train', 1)] +cudnn_benchmark = True +optimizer = dict( + type='AdamW', lr=0.00015, betas=[0.9, 0.96], weight_decay=0.045) +optimizer_config = dict() +lr_config = dict( + policy='step', + warmup='linear', + warmup_iters=1000, + warmup_ratio=1e-06, + step=10000, + gamma=0.5, + min_lr=1e-06, + by_epoch=False) +runner = dict(type='IterBasedRunner', max_iters=80000) +checkpoint_config = dict(by_epoch=False, interval=8000) +evaluation = dict( + interval=8000, metric='mIoU', pre_eval=True, save_best='mIoU') +work_dir = './work_dirs2/ablation_segformer_mit_b2_segformer_head_unet_fc_single_step_ade_pretrained_freeze_embed_80k_ade20k151_logits' +gpu_ids = range(0, 8) +auto_resume = True + +2023-03-04 19:03:27,162 - mmseg - INFO - Set random seed to 1480177113, deterministic: False +2023-03-04 19:03:27,413 - mmseg - INFO - Parameters in backbone freezed! +2023-03-04 19:03:27,414 - mmseg - INFO - Trainable parameters in SegformerHeadUnetFCHeadSingleStep: ['unet.init_conv.weight', 'unet.init_conv.bias', 'unet.time_mlp.1.weight', 'unet.time_mlp.1.bias', 'unet.time_mlp.3.weight', 'unet.time_mlp.3.bias', 'unet.downs.0.0.mlp.1.weight', 'unet.downs.0.0.mlp.1.bias', 'unet.downs.0.0.block1.proj.weight', 'unet.downs.0.0.block1.proj.bias', 'unet.downs.0.0.block1.norm.weight', 'unet.downs.0.0.block1.norm.bias', 'unet.downs.0.0.block2.proj.weight', 'unet.downs.0.0.block2.proj.bias', 'unet.downs.0.0.block2.norm.weight', 'unet.downs.0.0.block2.norm.bias', 'unet.downs.0.1.mlp.1.weight', 'unet.downs.0.1.mlp.1.bias', 'unet.downs.0.1.block1.proj.weight', 'unet.downs.0.1.block1.proj.bias', 'unet.downs.0.1.block1.norm.weight', 'unet.downs.0.1.block1.norm.bias', 'unet.downs.0.1.block2.proj.weight', 'unet.downs.0.1.block2.proj.bias', 'unet.downs.0.1.block2.norm.weight', 'unet.downs.0.1.block2.norm.bias', 'unet.downs.0.2.fn.fn.to_qkv.weight', 'unet.downs.0.2.fn.fn.to_out.0.weight', 'unet.downs.0.2.fn.fn.to_out.0.bias', 'unet.downs.0.2.fn.fn.to_out.1.g', 'unet.downs.0.2.fn.norm.g', 'unet.downs.0.3.weight', 'unet.downs.0.3.bias', 'unet.downs.1.0.mlp.1.weight', 'unet.downs.1.0.mlp.1.bias', 'unet.downs.1.0.block1.proj.weight', 'unet.downs.1.0.block1.proj.bias', 'unet.downs.1.0.block1.norm.weight', 'unet.downs.1.0.block1.norm.bias', 'unet.downs.1.0.block2.proj.weight', 'unet.downs.1.0.block2.proj.bias', 'unet.downs.1.0.block2.norm.weight', 'unet.downs.1.0.block2.norm.bias', 'unet.downs.1.1.mlp.1.weight', 'unet.downs.1.1.mlp.1.bias', 'unet.downs.1.1.block1.proj.weight', 'unet.downs.1.1.block1.proj.bias', 'unet.downs.1.1.block1.norm.weight', 'unet.downs.1.1.block1.norm.bias', 'unet.downs.1.1.block2.proj.weight', 'unet.downs.1.1.block2.proj.bias', 'unet.downs.1.1.block2.norm.weight', 'unet.downs.1.1.block2.norm.bias', 'unet.downs.1.2.fn.fn.to_qkv.weight', 'unet.downs.1.2.fn.fn.to_out.0.weight', 'unet.downs.1.2.fn.fn.to_out.0.bias', 'unet.downs.1.2.fn.fn.to_out.1.g', 'unet.downs.1.2.fn.norm.g', 'unet.downs.1.3.weight', 'unet.downs.1.3.bias', 'unet.downs.2.0.mlp.1.weight', 'unet.downs.2.0.mlp.1.bias', 'unet.downs.2.0.block1.proj.weight', 'unet.downs.2.0.block1.proj.bias', 'unet.downs.2.0.block1.norm.weight', 'unet.downs.2.0.block1.norm.bias', 'unet.downs.2.0.block2.proj.weight', 'unet.downs.2.0.block2.proj.bias', 'unet.downs.2.0.block2.norm.weight', 'unet.downs.2.0.block2.norm.bias', 'unet.downs.2.1.mlp.1.weight', 'unet.downs.2.1.mlp.1.bias', 'unet.downs.2.1.block1.proj.weight', 'unet.downs.2.1.block1.proj.bias', 'unet.downs.2.1.block1.norm.weight', 'unet.downs.2.1.block1.norm.bias', 'unet.downs.2.1.block2.proj.weight', 'unet.downs.2.1.block2.proj.bias', 'unet.downs.2.1.block2.norm.weight', 'unet.downs.2.1.block2.norm.bias', 'unet.downs.2.2.fn.fn.to_qkv.weight', 'unet.downs.2.2.fn.fn.to_out.0.weight', 'unet.downs.2.2.fn.fn.to_out.0.bias', 'unet.downs.2.2.fn.fn.to_out.1.g', 'unet.downs.2.2.fn.norm.g', 'unet.downs.2.3.weight', 'unet.downs.2.3.bias', 'unet.ups.0.0.mlp.1.weight', 'unet.ups.0.0.mlp.1.bias', 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'unet.mid_block1.block1.proj.weight', 'unet.mid_block1.block1.proj.bias', 'unet.mid_block1.block1.norm.weight', 'unet.mid_block1.block1.norm.bias', 'unet.mid_block1.block2.proj.weight', 'unet.mid_block1.block2.proj.bias', 'unet.mid_block1.block2.norm.weight', 'unet.mid_block1.block2.norm.bias', 'unet.mid_attn.fn.fn.to_qkv.weight', 'unet.mid_attn.fn.fn.to_out.weight', 'unet.mid_attn.fn.fn.to_out.bias', 'unet.mid_attn.fn.norm.g', 'unet.mid_block2.mlp.1.weight', 'unet.mid_block2.mlp.1.bias', 'unet.mid_block2.block1.proj.weight', 'unet.mid_block2.block1.proj.bias', 'unet.mid_block2.block1.norm.weight', 'unet.mid_block2.block1.norm.bias', 'unet.mid_block2.block2.proj.weight', 'unet.mid_block2.block2.proj.bias', 'unet.mid_block2.block2.norm.weight', 'unet.mid_block2.block2.norm.bias', 'unet.final_res_block.mlp.1.weight', 'unet.final_res_block.mlp.1.bias', 'unet.final_res_block.block1.proj.weight', 'unet.final_res_block.block1.proj.bias', 'unet.final_res_block.block1.norm.weight', 'unet.final_res_block.block1.norm.bias', 'unet.final_res_block.block2.proj.weight', 'unet.final_res_block.block2.proj.bias', 'unet.final_res_block.block2.norm.weight', 'unet.final_res_block.block2.norm.bias', 'unet.final_res_block.res_conv.weight', 'unet.final_res_block.res_conv.bias', 'unet.final_conv.weight', 'unet.final_conv.bias', 'conv_seg_new.weight', 'conv_seg_new.bias'] +2023-03-04 19:03:27,414 - mmseg - INFO - Parameters in decode_head freezed! +2023-03-04 19:03:27,436 - mmseg - INFO - load checkpoint from local path: pretrained/segformer_mit-b2_512x512_160k_ade20k_20220620_114047-64e4feca.pth +2023-03-04 19:03:27,682 - mmseg - WARNING - The model and loaded state dict do not match exactly + +unexpected key in source state_dict: decode_head.conv_seg.weight, decode_head.conv_seg.bias, decode_head.convs.0.conv.weight, decode_head.convs.0.bn.weight, decode_head.convs.0.bn.bias, decode_head.convs.0.bn.running_mean, decode_head.convs.0.bn.running_var, decode_head.convs.0.bn.num_batches_tracked, decode_head.convs.1.conv.weight, decode_head.convs.1.bn.weight, decode_head.convs.1.bn.bias, decode_head.convs.1.bn.running_mean, decode_head.convs.1.bn.running_var, decode_head.convs.1.bn.num_batches_tracked, decode_head.convs.2.conv.weight, decode_head.convs.2.bn.weight, decode_head.convs.2.bn.bias, decode_head.convs.2.bn.running_mean, decode_head.convs.2.bn.running_var, decode_head.convs.2.bn.num_batches_tracked, decode_head.convs.3.conv.weight, decode_head.convs.3.bn.weight, decode_head.convs.3.bn.bias, decode_head.convs.3.bn.running_mean, decode_head.convs.3.bn.running_var, decode_head.convs.3.bn.num_batches_tracked, decode_head.fusion_conv.conv.weight, decode_head.fusion_conv.bn.weight, decode_head.fusion_conv.bn.bias, decode_head.fusion_conv.bn.running_mean, decode_head.fusion_conv.bn.running_var, decode_head.fusion_conv.bn.num_batches_tracked + +2023-03-04 19:03:27,695 - mmseg - INFO - load checkpoint from local path: pretrained/segformer_mit-b2_512x512_160k_ade20k_20220620_114047-64e4feca.pth +2023-03-04 19:03:27,908 - mmseg - WARNING - The model and loaded state dict do not match exactly + +unexpected key in source state_dict: backbone.layers.0.0.projection.weight, backbone.layers.0.0.projection.bias, backbone.layers.0.0.norm.weight, backbone.layers.0.0.norm.bias, backbone.layers.0.1.0.norm1.weight, backbone.layers.0.1.0.norm1.bias, backbone.layers.0.1.0.attn.attn.in_proj_weight, backbone.layers.0.1.0.attn.attn.in_proj_bias, backbone.layers.0.1.0.attn.attn.out_proj.weight, backbone.layers.0.1.0.attn.attn.out_proj.bias, backbone.layers.0.1.0.attn.sr.weight, backbone.layers.0.1.0.attn.sr.bias, backbone.layers.0.1.0.attn.norm.weight, backbone.layers.0.1.0.attn.norm.bias, backbone.layers.0.1.0.norm2.weight, backbone.layers.0.1.0.norm2.bias, backbone.layers.0.1.0.ffn.layers.0.weight, backbone.layers.0.1.0.ffn.layers.0.bias, backbone.layers.0.1.0.ffn.layers.1.weight, 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(4): Conv2d(1280, 320, kernel_size=(1, 1), stride=(1, 1)) + (5): Dropout(p=0.0, inplace=False) + ) + (dropout_layer): DropPath() + ) + ) + (5): TransformerEncoderLayer( + (norm1): LayerNorm((320,), eps=1e-06, elementwise_affine=True) + (attn): EfficientMultiheadAttention( + (attn): MultiheadAttention( + (out_proj): NonDynamicallyQuantizableLinear(in_features=320, out_features=320, bias=True) + ) + (proj_drop): Dropout(p=0.0, inplace=False) + (dropout_layer): DropPath() + (sr): Conv2d(320, 320, kernel_size=(2, 2), stride=(2, 2)) + (norm): LayerNorm((320,), eps=1e-06, elementwise_affine=True) + ) + (norm2): LayerNorm((320,), eps=1e-06, elementwise_affine=True) + (ffn): MixFFN( + (activate): GELU(approximate='none') + (layers): Sequential( + (0): Conv2d(320, 1280, kernel_size=(1, 1), stride=(1, 1)) + (1): Conv2d(1280, 1280, kernel_size=(3, 3), stride=(1, 1), padding=(1, 1), groups=1280) + (2): GELU(approximate='none') + (3): Dropout(p=0.0, inplace=False) + (4): Conv2d(1280, 320, kernel_size=(1, 1), stride=(1, 1)) + (5): Dropout(p=0.0, inplace=False) + ) + (dropout_layer): DropPath() + ) + ) + ) + (2): LayerNorm((320,), eps=1e-06, elementwise_affine=True) + ) + (3): ModuleList( + (0): PatchEmbed( + (projection): Conv2d(320, 512, kernel_size=(3, 3), stride=(2, 2), padding=(1, 1)) + (norm): LayerNorm((512,), eps=1e-06, elementwise_affine=True) + ) + (1): ModuleList( + (0): TransformerEncoderLayer( + (norm1): LayerNorm((512,), eps=1e-06, elementwise_affine=True) + (attn): EfficientMultiheadAttention( + (attn): MultiheadAttention( + (out_proj): NonDynamicallyQuantizableLinear(in_features=512, out_features=512, bias=True) + ) + (proj_drop): Dropout(p=0.0, inplace=False) + (dropout_layer): DropPath() + ) + (norm2): LayerNorm((512,), eps=1e-06, elementwise_affine=True) + (ffn): MixFFN( + (activate): GELU(approximate='none') + (layers): Sequential( + (0): Conv2d(512, 2048, kernel_size=(1, 1), stride=(1, 1)) + (1): Conv2d(2048, 2048, kernel_size=(3, 3), stride=(1, 1), padding=(1, 1), groups=2048) + (2): GELU(approximate='none') + (3): Dropout(p=0.0, inplace=False) + (4): Conv2d(2048, 512, kernel_size=(1, 1), stride=(1, 1)) + (5): Dropout(p=0.0, inplace=False) + ) + (dropout_layer): DropPath() + ) + ) + (1): TransformerEncoderLayer( + (norm1): LayerNorm((512,), eps=1e-06, elementwise_affine=True) + (attn): EfficientMultiheadAttention( + (attn): MultiheadAttention( + (out_proj): NonDynamicallyQuantizableLinear(in_features=512, out_features=512, bias=True) + ) + (proj_drop): Dropout(p=0.0, inplace=False) + (dropout_layer): DropPath() + ) + (norm2): LayerNorm((512,), eps=1e-06, elementwise_affine=True) + (ffn): MixFFN( + (activate): GELU(approximate='none') + (layers): Sequential( + (0): Conv2d(512, 2048, kernel_size=(1, 1), stride=(1, 1)) + (1): Conv2d(2048, 2048, kernel_size=(3, 3), stride=(1, 1), padding=(1, 1), groups=2048) + (2): GELU(approximate='none') + (3): Dropout(p=0.0, inplace=False) + (4): Conv2d(2048, 512, kernel_size=(1, 1), stride=(1, 1)) + (5): Dropout(p=0.0, inplace=False) + ) + (dropout_layer): DropPath() + ) + ) + (2): TransformerEncoderLayer( + (norm1): LayerNorm((512,), eps=1e-06, elementwise_affine=True) + (attn): EfficientMultiheadAttention( + (attn): MultiheadAttention( + (out_proj): NonDynamicallyQuantizableLinear(in_features=512, out_features=512, bias=True) + ) + (proj_drop): Dropout(p=0.0, inplace=False) + (dropout_layer): DropPath() + ) + (norm2): LayerNorm((512,), eps=1e-06, elementwise_affine=True) + (ffn): MixFFN( + (activate): GELU(approximate='none') + (layers): Sequential( + (0): Conv2d(512, 2048, kernel_size=(1, 1), stride=(1, 1)) + (1): Conv2d(2048, 2048, kernel_size=(3, 3), stride=(1, 1), padding=(1, 1), groups=2048) + (2): GELU(approximate='none') + (3): Dropout(p=0.0, inplace=False) + (4): Conv2d(2048, 512, kernel_size=(1, 1), stride=(1, 1)) + (5): Dropout(p=0.0, inplace=False) + ) + (dropout_layer): DropPath() + ) + ) + ) + (2): LayerNorm((512,), eps=1e-06, elementwise_affine=True) + ) + ) + ) + init_cfg={'type': 'Pretrained', 'checkpoint': 'pretrained/segformer_mit-b2_512x512_160k_ade20k_20220620_114047-64e4feca.pth'} + (decode_head): SegformerHeadUnetFCHeadSingleStepLogits( + input_transform=multiple_select, ignore_index=0, align_corners=False + (loss_decode): CrossEntropyLoss(avg_non_ignore=False) + (conv_seg): Conv2d(256, 150, kernel_size=(1, 1), stride=(1, 1)) + (dropout): Dropout2d(p=0.1, inplace=False) + (convs): ModuleList( + (0): ConvModule( + (conv): Conv2d(64, 256, kernel_size=(1, 1), stride=(1, 1), bias=False) + (bn): SyncBatchNorm(256, eps=1e-05, momentum=0.1, affine=True, track_running_stats=True) + (activate): ReLU(inplace=True) + ) + (1): ConvModule( + (conv): Conv2d(128, 256, kernel_size=(1, 1), stride=(1, 1), bias=False) + (bn): SyncBatchNorm(256, eps=1e-05, momentum=0.1, affine=True, track_running_stats=True) + (activate): ReLU(inplace=True) + ) + (2): ConvModule( + (conv): Conv2d(320, 256, kernel_size=(1, 1), stride=(1, 1), bias=False) + (bn): SyncBatchNorm(256, eps=1e-05, momentum=0.1, affine=True, track_running_stats=True) + (activate): ReLU(inplace=True) + ) + (3): ConvModule( + (conv): Conv2d(512, 256, kernel_size=(1, 1), stride=(1, 1), bias=False) + (bn): SyncBatchNorm(256, eps=1e-05, momentum=0.1, affine=True, track_running_stats=True) + (activate): ReLU(inplace=True) + ) + ) + (fusion_conv): ConvModule( + (conv): Conv2d(1024, 256, kernel_size=(1, 1), stride=(1, 1), bias=False) + (bn): SyncBatchNorm(256, eps=1e-05, momentum=0.1, affine=True, track_running_stats=True) + (activate): ReLU(inplace=True) + ) + (unet): Unet( + (init_conv): Conv2d(166, 128, kernel_size=(7, 7), stride=(1, 1), padding=(3, 3)) + (time_mlp): Sequential( + (0): SinusoidalPosEmb() + (1): Linear(in_features=128, out_features=512, bias=True) + (2): GELU(approximate='none') + (3): Linear(in_features=512, out_features=512, bias=True) + ) + (downs): ModuleList( + (0): ModuleList( + (0): ResnetBlock( + (mlp): Sequential( + (0): SiLU() + (1): Linear(in_features=512, out_features=256, bias=True) + ) + (block1): Block( + (proj): WeightStandardizedConv2d(128, 128, kernel_size=(3, 3), stride=(1, 1), padding=(1, 1)) + (norm): GroupNorm(8, 128, eps=1e-05, affine=True) + (act): SiLU() + ) + (block2): Block( + (proj): WeightStandardizedConv2d(128, 128, kernel_size=(3, 3), stride=(1, 1), padding=(1, 1)) + (norm): GroupNorm(8, 128, eps=1e-05, affine=True) + (act): SiLU() + ) + (res_conv): Identity() + ) + (1): ResnetBlock( + (mlp): Sequential( + (0): SiLU() + (1): Linear(in_features=512, out_features=256, bias=True) + ) + (block1): Block( + (proj): WeightStandardizedConv2d(128, 128, kernel_size=(3, 3), stride=(1, 1), padding=(1, 1)) + (norm): GroupNorm(8, 128, eps=1e-05, affine=True) + (act): SiLU() + ) + (block2): Block( + (proj): WeightStandardizedConv2d(128, 128, kernel_size=(3, 3), stride=(1, 1), padding=(1, 1)) + (norm): GroupNorm(8, 128, eps=1e-05, affine=True) + (act): SiLU() + ) + (res_conv): Identity() + ) + (2): Residual( + (fn): PreNorm( + (fn): LinearAttention( + (to_qkv): Conv2d(128, 384, kernel_size=(1, 1), stride=(1, 1), bias=False) + (to_out): Sequential( + (0): Conv2d(128, 128, kernel_size=(1, 1), stride=(1, 1)) + (1): LayerNorm() + ) + ) + (norm): LayerNorm() + ) + ) + (3): Conv2d(128, 128, kernel_size=(4, 4), stride=(2, 2), padding=(1, 1)) + ) + (1): ModuleList( + (0): ResnetBlock( + (mlp): Sequential( + (0): SiLU() + (1): Linear(in_features=512, out_features=256, bias=True) + ) + (block1): Block( + (proj): WeightStandardizedConv2d(128, 128, kernel_size=(3, 3), stride=(1, 1), padding=(1, 1)) + (norm): GroupNorm(8, 128, eps=1e-05, affine=True) + (act): SiLU() + ) + (block2): Block( + (proj): WeightStandardizedConv2d(128, 128, kernel_size=(3, 3), stride=(1, 1), padding=(1, 1)) + (norm): GroupNorm(8, 128, eps=1e-05, affine=True) + (act): SiLU() + ) + (res_conv): Identity() + ) + (1): ResnetBlock( + (mlp): Sequential( + (0): SiLU() + (1): Linear(in_features=512, out_features=256, bias=True) + ) + (block1): Block( + (proj): WeightStandardizedConv2d(128, 128, kernel_size=(3, 3), stride=(1, 1), padding=(1, 1)) + (norm): GroupNorm(8, 128, eps=1e-05, affine=True) + (act): SiLU() + ) + (block2): Block( + (proj): WeightStandardizedConv2d(128, 128, kernel_size=(3, 3), stride=(1, 1), padding=(1, 1)) + (norm): GroupNorm(8, 128, eps=1e-05, affine=True) + (act): SiLU() + ) + (res_conv): Identity() + ) + (2): Residual( + (fn): PreNorm( + (fn): LinearAttention( + (to_qkv): Conv2d(128, 384, kernel_size=(1, 1), stride=(1, 1), bias=False) + (to_out): Sequential( + (0): Conv2d(128, 128, kernel_size=(1, 1), stride=(1, 1)) + (1): LayerNorm() + ) + ) + (norm): LayerNorm() + ) + ) + (3): Conv2d(128, 128, kernel_size=(4, 4), stride=(2, 2), padding=(1, 1)) + ) + (2): ModuleList( + (0): ResnetBlock( + (mlp): Sequential( + (0): SiLU() + (1): Linear(in_features=512, out_features=256, bias=True) + ) + (block1): Block( + (proj): WeightStandardizedConv2d(128, 128, kernel_size=(3, 3), stride=(1, 1), padding=(1, 1)) + (norm): GroupNorm(8, 128, eps=1e-05, affine=True) + (act): SiLU() + ) + (block2): Block( + (proj): WeightStandardizedConv2d(128, 128, kernel_size=(3, 3), stride=(1, 1), padding=(1, 1)) + (norm): GroupNorm(8, 128, eps=1e-05, affine=True) + (act): SiLU() + ) + (res_conv): Identity() + ) + (1): ResnetBlock( + (mlp): Sequential( + (0): SiLU() + (1): Linear(in_features=512, out_features=256, bias=True) + ) + (block1): Block( + (proj): WeightStandardizedConv2d(128, 128, kernel_size=(3, 3), stride=(1, 1), padding=(1, 1)) + (norm): GroupNorm(8, 128, eps=1e-05, affine=True) + (act): SiLU() + ) + (block2): Block( + (proj): WeightStandardizedConv2d(128, 128, kernel_size=(3, 3), stride=(1, 1), padding=(1, 1)) + (norm): GroupNorm(8, 128, eps=1e-05, affine=True) + (act): SiLU() + ) + (res_conv): Identity() + ) + (2): Residual( + (fn): PreNorm( + (fn): LinearAttention( + (to_qkv): Conv2d(128, 384, kernel_size=(1, 1), stride=(1, 1), bias=False) + (to_out): Sequential( + (0): Conv2d(128, 128, kernel_size=(1, 1), stride=(1, 1)) + (1): LayerNorm() + ) + ) + (norm): LayerNorm() + ) + ) + (3): Conv2d(128, 128, kernel_size=(3, 3), stride=(1, 1), padding=(1, 1)) + ) + ) + (ups): ModuleList( + (0): ModuleList( + (0): ResnetBlock( + (mlp): Sequential( + (0): SiLU() + (1): Linear(in_features=512, out_features=256, bias=True) + ) + (block1): Block( + (proj): WeightStandardizedConv2d(256, 128, kernel_size=(3, 3), stride=(1, 1), padding=(1, 1)) + (norm): GroupNorm(8, 128, eps=1e-05, affine=True) + (act): SiLU() + ) + (block2): Block( + (proj): WeightStandardizedConv2d(128, 128, kernel_size=(3, 3), stride=(1, 1), padding=(1, 1)) + (norm): GroupNorm(8, 128, eps=1e-05, affine=True) + (act): SiLU() + ) + (res_conv): Conv2d(256, 128, kernel_size=(1, 1), stride=(1, 1)) + ) + (1): ResnetBlock( + (mlp): Sequential( + (0): SiLU() + (1): Linear(in_features=512, out_features=256, bias=True) + ) + (block1): Block( + (proj): WeightStandardizedConv2d(256, 128, kernel_size=(3, 3), stride=(1, 1), padding=(1, 1)) + (norm): GroupNorm(8, 128, eps=1e-05, affine=True) + (act): SiLU() + ) + (block2): Block( + (proj): WeightStandardizedConv2d(128, 128, kernel_size=(3, 3), stride=(1, 1), padding=(1, 1)) + (norm): GroupNorm(8, 128, eps=1e-05, affine=True) + (act): SiLU() + ) + (res_conv): Conv2d(256, 128, kernel_size=(1, 1), stride=(1, 1)) + ) + (2): Residual( + (fn): PreNorm( + (fn): LinearAttention( + (to_qkv): Conv2d(128, 384, kernel_size=(1, 1), stride=(1, 1), bias=False) + (to_out): Sequential( + (0): Conv2d(128, 128, kernel_size=(1, 1), stride=(1, 1)) + (1): LayerNorm() + ) + ) + (norm): LayerNorm() + ) + ) + (3): Sequential( + (0): Upsample(scale_factor=2.0, mode=nearest) + (1): Conv2d(128, 128, kernel_size=(3, 3), stride=(1, 1), padding=(1, 1)) + ) + ) + (1): ModuleList( + (0): ResnetBlock( + (mlp): Sequential( + (0): SiLU() + (1): Linear(in_features=512, out_features=256, bias=True) + ) + (block1): Block( + (proj): WeightStandardizedConv2d(256, 128, kernel_size=(3, 3), stride=(1, 1), padding=(1, 1)) + (norm): GroupNorm(8, 128, eps=1e-05, affine=True) + (act): SiLU() + ) + (block2): Block( + (proj): WeightStandardizedConv2d(128, 128, kernel_size=(3, 3), stride=(1, 1), padding=(1, 1)) + (norm): GroupNorm(8, 128, eps=1e-05, affine=True) + (act): SiLU() + ) + (res_conv): Conv2d(256, 128, kernel_size=(1, 1), stride=(1, 1)) + ) + (1): ResnetBlock( + (mlp): Sequential( + (0): SiLU() + (1): Linear(in_features=512, out_features=256, bias=True) + ) + (block1): Block( + (proj): WeightStandardizedConv2d(256, 128, kernel_size=(3, 3), stride=(1, 1), padding=(1, 1)) + (norm): GroupNorm(8, 128, eps=1e-05, affine=True) + (act): SiLU() + ) + (block2): Block( + (proj): WeightStandardizedConv2d(128, 128, kernel_size=(3, 3), stride=(1, 1), padding=(1, 1)) + (norm): GroupNorm(8, 128, eps=1e-05, affine=True) + (act): SiLU() + ) + (res_conv): Conv2d(256, 128, kernel_size=(1, 1), stride=(1, 1)) + ) + (2): Residual( + (fn): PreNorm( + (fn): LinearAttention( + (to_qkv): Conv2d(128, 384, kernel_size=(1, 1), stride=(1, 1), bias=False) + (to_out): Sequential( + (0): Conv2d(128, 128, kernel_size=(1, 1), stride=(1, 1)) + (1): LayerNorm() + ) + ) + (norm): LayerNorm() + ) + ) + (3): Sequential( + (0): Upsample(scale_factor=2.0, mode=nearest) + (1): Conv2d(128, 128, kernel_size=(3, 3), stride=(1, 1), padding=(1, 1)) + ) + ) + (2): ModuleList( + (0): ResnetBlock( + (mlp): Sequential( + (0): SiLU() + (1): Linear(in_features=512, out_features=256, bias=True) + ) + (block1): Block( + (proj): WeightStandardizedConv2d(256, 128, kernel_size=(3, 3), stride=(1, 1), padding=(1, 1)) + (norm): GroupNorm(8, 128, eps=1e-05, affine=True) + (act): SiLU() + ) + (block2): Block( + (proj): WeightStandardizedConv2d(128, 128, kernel_size=(3, 3), stride=(1, 1), padding=(1, 1)) + (norm): GroupNorm(8, 128, eps=1e-05, affine=True) + (act): SiLU() + ) + (res_conv): Conv2d(256, 128, kernel_size=(1, 1), stride=(1, 1)) + ) + (1): ResnetBlock( + (mlp): Sequential( + (0): SiLU() + (1): Linear(in_features=512, out_features=256, bias=True) + ) + (block1): Block( + (proj): WeightStandardizedConv2d(256, 128, kernel_size=(3, 3), stride=(1, 1), padding=(1, 1)) + (norm): GroupNorm(8, 128, eps=1e-05, affine=True) + (act): SiLU() + ) + (block2): Block( + (proj): WeightStandardizedConv2d(128, 128, kernel_size=(3, 3), stride=(1, 1), padding=(1, 1)) + (norm): GroupNorm(8, 128, eps=1e-05, affine=True) + (act): SiLU() + ) + (res_conv): Conv2d(256, 128, kernel_size=(1, 1), stride=(1, 1)) + ) + (2): Residual( + (fn): PreNorm( + (fn): LinearAttention( + (to_qkv): Conv2d(128, 384, kernel_size=(1, 1), stride=(1, 1), bias=False) + (to_out): Sequential( + (0): Conv2d(128, 128, kernel_size=(1, 1), stride=(1, 1)) + (1): LayerNorm() + ) + ) + (norm): LayerNorm() + ) + ) + (3): Conv2d(128, 128, kernel_size=(3, 3), stride=(1, 1), padding=(1, 1)) + ) + ) + (mid_block1): ResnetBlock( + (mlp): Sequential( + (0): SiLU() + (1): Linear(in_features=512, out_features=256, bias=True) + ) + (block1): Block( + (proj): WeightStandardizedConv2d(128, 128, kernel_size=(3, 3), stride=(1, 1), padding=(1, 1)) + (norm): GroupNorm(8, 128, eps=1e-05, affine=True) + (act): SiLU() + ) + (block2): Block( + (proj): WeightStandardizedConv2d(128, 128, kernel_size=(3, 3), stride=(1, 1), padding=(1, 1)) + (norm): GroupNorm(8, 128, eps=1e-05, affine=True) + (act): SiLU() + ) + (res_conv): Identity() + ) + (mid_attn): Residual( + (fn): PreNorm( + (fn): Attention( + (to_qkv): Conv2d(128, 384, kernel_size=(1, 1), stride=(1, 1), bias=False) + (to_out): Conv2d(128, 128, kernel_size=(1, 1), stride=(1, 1)) + ) + (norm): LayerNorm() + ) + ) + (mid_block2): ResnetBlock( + (mlp): Sequential( + (0): SiLU() + (1): Linear(in_features=512, out_features=256, bias=True) + ) + (block1): Block( + (proj): WeightStandardizedConv2d(128, 128, kernel_size=(3, 3), stride=(1, 1), padding=(1, 1)) + (norm): GroupNorm(8, 128, eps=1e-05, affine=True) + (act): SiLU() + ) + (block2): Block( + (proj): WeightStandardizedConv2d(128, 128, kernel_size=(3, 3), stride=(1, 1), padding=(1, 1)) + (norm): GroupNorm(8, 128, eps=1e-05, affine=True) + (act): SiLU() + ) + (res_conv): Identity() + ) + (final_res_block): ResnetBlock( + (mlp): Sequential( + (0): SiLU() + (1): Linear(in_features=512, out_features=256, bias=True) + ) + (block1): Block( + (proj): WeightStandardizedConv2d(256, 128, kernel_size=(3, 3), stride=(1, 1), padding=(1, 1)) + (norm): GroupNorm(8, 128, eps=1e-05, affine=True) + (act): SiLU() + ) + (block2): Block( + (proj): WeightStandardizedConv2d(128, 128, kernel_size=(3, 3), stride=(1, 1), padding=(1, 1)) + (norm): GroupNorm(8, 128, eps=1e-05, affine=True) + (act): SiLU() + ) + (res_conv): Conv2d(256, 128, kernel_size=(1, 1), stride=(1, 1)) + ) + (final_conv): Conv2d(128, 256, kernel_size=(1, 1), stride=(1, 1)) + ) + (conv_seg_new): Conv2d(256, 151, kernel_size=(1, 1), stride=(1, 1)) + (embed): Embedding(151, 16) + ) + init_cfg={'type': 'Pretrained', 'checkpoint': 'pretrained/segformer_mit-b2_512x512_160k_ade20k_20220620_114047-64e4feca.pth'} +) +2023-03-04 19:03:28,858 - mmseg - INFO - Loaded 20210 images +2023-03-04 19:03:29,858 - mmseg - INFO - Loaded 2000 images +2023-03-04 19:03:29,859 - mmseg - INFO - load checkpoint from local path: ./work_dirs2/ablation_segformer_mit_b2_segformer_head_unet_fc_single_step_ade_pretrained_freeze_embed_80k_ade20k151_logits/latest.pth +2023-03-04 19:03:30,494 - mmseg - INFO - resumed from epoch: 13, iter 7999 +2023-03-04 19:03:30,496 - mmseg - INFO - Start running, host: laizeqiang@SH-IDC1-10-140-37-114, work_dir: /mnt/petrelfs/laizeqiang/mmseg-baseline/work_dirs2/ablation_segformer_mit_b2_segformer_head_unet_fc_single_step_ade_pretrained_freeze_embed_80k_ade20k151_logits +2023-03-04 19:03:30,496 - mmseg - INFO - Hooks will be executed in the following order: +before_run: +(VERY_HIGH ) StepLrUpdaterHook +(NORMAL ) CheckpointHook +(LOW ) DistEvalHook +(VERY_LOW ) TextLoggerHook + -------------------- +before_train_epoch: +(VERY_HIGH ) StepLrUpdaterHook +(LOW ) IterTimerHook +(LOW ) DistEvalHook +(VERY_LOW ) TextLoggerHook + -------------------- +before_train_iter: +(VERY_HIGH ) StepLrUpdaterHook +(LOW ) IterTimerHook +(LOW ) DistEvalHook + -------------------- +after_train_iter: +(ABOVE_NORMAL) OptimizerHook +(NORMAL ) CheckpointHook +(LOW ) IterTimerHook +(LOW ) DistEvalHook +(VERY_LOW ) TextLoggerHook + -------------------- +after_train_epoch: +(NORMAL ) CheckpointHook +(LOW ) DistEvalHook +(VERY_LOW ) TextLoggerHook + -------------------- +before_val_epoch: +(LOW ) IterTimerHook +(VERY_LOW ) TextLoggerHook + -------------------- +before_val_iter: +(LOW ) IterTimerHook + -------------------- +after_val_iter: +(LOW ) IterTimerHook + -------------------- +after_val_epoch: +(VERY_LOW ) TextLoggerHook + -------------------- +after_run: +(VERY_LOW ) TextLoggerHook + -------------------- +2023-03-04 19:03:30,496 - mmseg - INFO - workflow: [('train', 1)], max: 80000 iters +2023-03-04 19:03:30,496 - mmseg - INFO - Checkpoints will be saved to /mnt/petrelfs/laizeqiang/mmseg-baseline/work_dirs2/ablation_segformer_mit_b2_segformer_head_unet_fc_single_step_ade_pretrained_freeze_embed_80k_ade20k151_logits by HardDiskBackend. diff --git a/ablation/ablation_segformer_mit_b2_segformer_head_unet_fc_single_step_ade_pretrained_freeze_embed_80k_ade20k151_logits/20230304_190322.log.json b/ablation/ablation_segformer_mit_b2_segformer_head_unet_fc_single_step_ade_pretrained_freeze_embed_80k_ade20k151_logits/20230304_190322.log.json new file mode 100644 index 0000000000000000000000000000000000000000..f1646158c4044a75153b2f49ebf3e242f6249137 --- /dev/null +++ b/ablation/ablation_segformer_mit_b2_segformer_head_unet_fc_single_step_ade_pretrained_freeze_embed_80k_ade20k151_logits/20230304_190322.log.json @@ -0,0 +1 @@ +{"env_info": "sys.platform: linux\nPython: 3.7.16 (default, Jan 17 2023, 22:20:44) [GCC 11.2.0]\nCUDA available: True\nGPU 0,1,2,3,4,5,6,7: NVIDIA A100-SXM4-80GB\nCUDA_HOME: /mnt/petrelfs/laizeqiang/miniconda3/envs/torch\nNVCC: Cuda compilation tools, release 11.6, V11.6.124\nGCC: gcc (GCC) 4.8.5 20150623 (Red Hat 4.8.5-44)\nPyTorch: 1.13.1\nPyTorch compiling details: PyTorch built with:\n - GCC 9.3\n - C++ Version: 201402\n - Intel(R) oneAPI Math Kernel Library Version 2021.4-Product Build 20210904 for Intel(R) 64 architecture applications\n - Intel(R) MKL-DNN v2.6.0 (Git Hash 52b5f107dd9cf10910aaa19cb47f3abf9b349815)\n - OpenMP 201511 (a.k.a. OpenMP 4.5)\n - LAPACK is enabled (usually provided by MKL)\n - NNPACK is enabled\n - CPU capability usage: AVX2\n - CUDA Runtime 11.6\n - NVCC architecture flags: -gencode;arch=compute_37,code=sm_37;-gencode;arch=compute_50,code=sm_50;-gencode;arch=compute_60,code=sm_60;-gencode;arch=compute_61,code=sm_61;-gencode;arch=compute_70,code=sm_70;-gencode;arch=compute_75,code=sm_75;-gencode;arch=compute_80,code=sm_80;-gencode;arch=compute_86,code=sm_86;-gencode;arch=compute_37,code=compute_37\n - CuDNN 8.3.2 (built against CUDA 11.5)\n - Magma 2.6.1\n - Build settings: BLAS_INFO=mkl, BUILD_TYPE=Release, CUDA_VERSION=11.6, CUDNN_VERSION=8.3.2, CXX_COMPILER=/opt/rh/devtoolset-9/root/usr/bin/c++, CXX_FLAGS= -fabi-version=11 -Wno-deprecated -fvisibility-inlines-hidden -DUSE_PTHREADPOOL -fopenmp -DNDEBUG -DUSE_KINETO -DUSE_FBGEMM -DUSE_QNNPACK -DUSE_PYTORCH_QNNPACK -DUSE_XNNPACK -DSYMBOLICATE_MOBILE_DEBUG_HANDLE -DEDGE_PROFILER_USE_KINETO -O2 -fPIC -Wno-narrowing -Wall -Wextra -Werror=return-type -Werror=non-virtual-dtor -Wno-missing-field-initializers -Wno-type-limits -Wno-array-bounds -Wno-unknown-pragmas -Wunused-local-typedefs -Wno-unused-parameter -Wno-unused-function -Wno-unused-result -Wno-strict-overflow -Wno-strict-aliasing -Wno-error=deprecated-declarations -Wno-stringop-overflow -Wno-psabi -Wno-error=pedantic -Wno-error=redundant-decls -Wno-error=old-style-cast -fdiagnostics-color=always -faligned-new -Wno-unused-but-set-variable -Wno-maybe-uninitialized -fno-math-errno -fno-trapping-math -Werror=format -Werror=cast-function-type -Wno-stringop-overflow, LAPACK_INFO=mkl, PERF_WITH_AVX=1, PERF_WITH_AVX2=1, PERF_WITH_AVX512=1, TORCH_VERSION=1.13.1, USE_CUDA=ON, USE_CUDNN=ON, USE_EXCEPTION_PTR=1, USE_GFLAGS=OFF, USE_GLOG=OFF, USE_MKL=ON, USE_MKLDNN=ON, USE_MPI=OFF, USE_NCCL=ON, USE_NNPACK=ON, USE_OPENMP=ON, USE_ROCM=OFF, \n\nTorchVision: 0.14.1\nOpenCV: 4.7.0\nMMCV: 1.7.1\nMMCV Compiler: GCC 9.3\nMMCV CUDA Compiler: 11.6\nMMSegmentation: 0.30.0+6749699", "seed": 1480177113, "exp_name": "ablation_segformer_mit_b2_segformer_head_unet_fc_single_step_ade_pretrained_freeze_embed_80k_ade20k151_logits.py", "mmseg_version": "0.30.0+6749699", "config": "norm_cfg = dict(type='SyncBN', requires_grad=True)\ncheckpoint = 'pretrained/segformer_mit-b2_512x512_160k_ade20k_20220620_114047-64e4feca.pth'\nmodel = dict(\n type='EncoderDecoderFreeze',\n freeze_parameters=['backbone', 'decode_head'],\n pretrained=\n 'pretrained/segformer_mit-b2_512x512_160k_ade20k_20220620_114047-64e4feca.pth',\n backbone=dict(\n type='MixVisionTransformerCustomInitWeights',\n in_channels=3,\n embed_dims=64,\n num_stages=4,\n num_layers=[3, 4, 6, 3],\n num_heads=[1, 2, 5, 8],\n patch_sizes=[7, 3, 3, 3],\n sr_ratios=[8, 4, 2, 1],\n out_indices=(0, 1, 2, 3),\n mlp_ratio=4,\n qkv_bias=True,\n drop_rate=0.0,\n attn_drop_rate=0.0,\n drop_path_rate=0.1,\n pretrained=\n 'pretrained/segformer_mit-b2_512x512_160k_ade20k_20220620_114047-64e4feca.pth'\n ),\n decode_head=dict(\n type='SegformerHeadUnetFCHeadSingleStepLogits',\n pretrained=\n 'pretrained/segformer_mit-b2_512x512_160k_ade20k_20220620_114047-64e4feca.pth',\n dim=128,\n out_dim=256,\n unet_channels=166,\n dim_mults=[1, 1, 1],\n cat_embedding_dim=16,\n in_channels=[64, 128, 320, 512],\n in_index=[0, 1, 2, 3],\n channels=256,\n dropout_ratio=0.1,\n num_classes=151,\n norm_cfg=dict(type='SyncBN', requires_grad=True),\n align_corners=False,\n ignore_index=0,\n loss_decode=dict(\n type='CrossEntropyLoss', use_sigmoid=False, loss_weight=1.0)),\n train_cfg=dict(),\n test_cfg=dict(mode='whole'))\ndataset_type = 'ADE20K151Dataset'\ndata_root = 'data/ade/ADEChallengeData2016'\nimg_norm_cfg = dict(\n mean=[123.675, 116.28, 103.53], std=[58.395, 57.12, 57.375], to_rgb=True)\ncrop_size = (512, 512)\ntrain_pipeline = [\n dict(type='LoadImageFromFile'),\n dict(type='LoadAnnotations', reduce_zero_label=False),\n dict(type='Resize', img_scale=(2048, 512), ratio_range=(0.5, 2.0)),\n dict(type='RandomCrop', crop_size=(512, 512), cat_max_ratio=0.75),\n dict(type='RandomFlip', prob=0.5),\n dict(type='PhotoMetricDistortion'),\n dict(\n type='Normalize',\n mean=[123.675, 116.28, 103.53],\n std=[58.395, 57.12, 57.375],\n to_rgb=True),\n dict(type='Pad', size=(512, 512), pad_val=0, seg_pad_val=0),\n dict(type='DefaultFormatBundle'),\n dict(type='Collect', keys=['img', 'gt_semantic_seg'])\n]\ntest_pipeline = [\n dict(type='LoadImageFromFile'),\n dict(\n type='MultiScaleFlipAug',\n img_scale=(2048, 512),\n flip=False,\n transforms=[\n dict(type='Resize', keep_ratio=True),\n dict(type='RandomFlip'),\n dict(\n type='Normalize',\n mean=[123.675, 116.28, 103.53],\n std=[58.395, 57.12, 57.375],\n to_rgb=True),\n dict(type='Pad', size_divisor=16, pad_val=0, seg_pad_val=0),\n dict(type='ImageToTensor', keys=['img']),\n dict(type='Collect', keys=['img'])\n ])\n]\ndata = dict(\n samples_per_gpu=4,\n workers_per_gpu=4,\n train=dict(\n type='ADE20K151Dataset',\n data_root='data/ade/ADEChallengeData2016',\n img_dir='images/training',\n ann_dir='annotations/training',\n pipeline=[\n dict(type='LoadImageFromFile'),\n dict(type='LoadAnnotations', reduce_zero_label=False),\n dict(type='Resize', img_scale=(2048, 512), ratio_range=(0.5, 2.0)),\n dict(type='RandomCrop', crop_size=(512, 512), cat_max_ratio=0.75),\n dict(type='RandomFlip', prob=0.5),\n dict(type='PhotoMetricDistortion'),\n dict(\n type='Normalize',\n mean=[123.675, 116.28, 103.53],\n std=[58.395, 57.12, 57.375],\n to_rgb=True),\n dict(type='Pad', size=(512, 512), pad_val=0, seg_pad_val=0),\n dict(type='DefaultFormatBundle'),\n dict(type='Collect', keys=['img', 'gt_semantic_seg'])\n ]),\n val=dict(\n type='ADE20K151Dataset',\n data_root='data/ade/ADEChallengeData2016',\n img_dir='images/validation',\n ann_dir='annotations/validation',\n pipeline=[\n dict(type='LoadImageFromFile'),\n dict(\n type='MultiScaleFlipAug',\n img_scale=(2048, 512),\n flip=False,\n transforms=[\n dict(type='Resize', keep_ratio=True),\n dict(type='RandomFlip'),\n dict(\n type='Normalize',\n mean=[123.675, 116.28, 103.53],\n std=[58.395, 57.12, 57.375],\n to_rgb=True),\n dict(\n type='Pad', size_divisor=16, pad_val=0, seg_pad_val=0),\n dict(type='ImageToTensor', keys=['img']),\n dict(type='Collect', keys=['img'])\n ])\n ]),\n test=dict(\n type='ADE20K151Dataset',\n data_root='data/ade/ADEChallengeData2016',\n img_dir='images/validation',\n ann_dir='annotations/validation',\n pipeline=[\n dict(type='LoadImageFromFile'),\n dict(\n type='MultiScaleFlipAug',\n img_scale=(2048, 512),\n flip=False,\n transforms=[\n dict(type='Resize', keep_ratio=True),\n dict(type='RandomFlip'),\n dict(\n type='Normalize',\n mean=[123.675, 116.28, 103.53],\n std=[58.395, 57.12, 57.375],\n to_rgb=True),\n dict(\n type='Pad', size_divisor=16, pad_val=0, seg_pad_val=0),\n dict(type='ImageToTensor', keys=['img']),\n dict(type='Collect', keys=['img'])\n ])\n ]))\nlog_config = dict(\n interval=50, hooks=[dict(type='TextLoggerHook', by_epoch=False)])\ndist_params = dict(backend='nccl')\nlog_level = 'INFO'\nload_from = None\nresume_from = None\nworkflow = [('train', 1)]\ncudnn_benchmark = True\noptimizer = dict(\n type='AdamW', lr=0.00015, betas=[0.9, 0.96], weight_decay=0.045)\noptimizer_config = dict()\nlr_config = dict(\n policy='step',\n warmup='linear',\n warmup_iters=1000,\n warmup_ratio=1e-06,\n step=10000,\n gamma=0.5,\n min_lr=1e-06,\n by_epoch=False)\nrunner = dict(type='IterBasedRunner', max_iters=80000)\ncheckpoint_config = dict(by_epoch=False, interval=8000)\nevaluation = dict(\n interval=8000, metric='mIoU', pre_eval=True, save_best='mIoU')\nwork_dir = './work_dirs2/ablation_segformer_mit_b2_segformer_head_unet_fc_single_step_ade_pretrained_freeze_embed_80k_ade20k151_logits'\ngpu_ids = range(0, 8)\nauto_resume = True\ndevice = 'cuda'\nseed = 1480177113\n", "CLASSES": ["background", "wall", "building", "sky", "floor", "tree", "ceiling", "road", "bed ", "windowpane", "grass", "cabinet", "sidewalk", "person", "earth", "door", "table", "mountain", "plant", "curtain", "chair", "car", "water", "painting", "sofa", "shelf", "house", "sea", "mirror", "rug", "field", "armchair", "seat", "fence", "desk", "rock", "wardrobe", "lamp", "bathtub", "railing", "cushion", "base", "box", "column", "signboard", "chest of drawers", "counter", "sand", "sink", "skyscraper", "fireplace", "refrigerator", "grandstand", "path", "stairs", "runway", "case", "pool table", "pillow", "screen door", "stairway", "river", "bridge", "bookcase", "blind", "coffee table", "toilet", "flower", "book", "hill", "bench", "countertop", "stove", "palm", "kitchen island", "computer", "swivel chair", "boat", "bar", "arcade machine", "hovel", "bus", "towel", "light", "truck", "tower", "chandelier", "awning", "streetlight", "booth", "television receiver", "airplane", "dirt track", "apparel", "pole", "land", "bannister", "escalator", "ottoman", "bottle", "buffet", "poster", "stage", "van", "ship", "fountain", "conveyer belt", "canopy", "washer", "plaything", "swimming pool", "stool", "barrel", "basket", "waterfall", "tent", "bag", "minibike", "cradle", "oven", "ball", "food", "step", "tank", "trade name", "microwave", "pot", "animal", "bicycle", "lake", "dishwasher", "screen", "blanket", "sculpture", "hood", "sconce", "vase", "traffic light", "tray", "ashcan", "fan", "pier", "crt screen", "plate", "monitor", "bulletin board", "shower", "radiator", "glass", "clock", "flag"], "PALETTE": [[0, 0, 0], [120, 120, 120], [180, 120, 120], [6, 230, 230], [80, 50, 50], [4, 200, 3], [120, 120, 80], [140, 140, 140], [204, 5, 255], [230, 230, 230], [4, 250, 7], [224, 5, 255], [235, 255, 7], [150, 5, 61], [120, 120, 70], [8, 255, 51], [255, 6, 82], [143, 255, 140], [204, 255, 4], [255, 51, 7], [204, 70, 3], [0, 102, 200], [61, 230, 250], [255, 6, 51], [11, 102, 255], [255, 7, 71], [255, 9, 224], [9, 7, 230], [220, 220, 220], [255, 9, 92], [112, 9, 255], [8, 255, 214], [7, 255, 224], [255, 184, 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0], [82, 0, 255], [163, 255, 0], [255, 235, 0], [8, 184, 170], [133, 0, 255], [0, 255, 92], [184, 0, 255], [255, 0, 31], [0, 184, 255], [0, 214, 255], [255, 0, 112], [92, 255, 0], [0, 224, 255], [112, 224, 255], [70, 184, 160], [163, 0, 255], [153, 0, 255], [71, 255, 0], [255, 0, 163], [255, 204, 0], [255, 0, 143], [0, 255, 235], [133, 255, 0], [255, 0, 235], [245, 0, 255], [255, 0, 122], [255, 245, 0], [10, 190, 212], [214, 255, 0], [0, 204, 255], [20, 0, 255], [255, 255, 0], [0, 153, 255], [0, 41, 255], [0, 255, 204], [41, 0, 255], [41, 255, 0], [173, 0, 255], [0, 245, 255], [71, 0, 255], [122, 0, 255], [0, 255, 184], [0, 92, 255], [184, 255, 0], [0, 133, 255], [255, 214, 0], [25, 194, 194], [102, 255, 0], [92, 0, 255]], "hook_msgs": {}} diff --git a/ablation/ablation_segformer_mit_b2_segformer_head_unet_fc_single_step_ade_pretrained_freeze_embed_80k_ade20k151_logits/20230304_211228.log b/ablation/ablation_segformer_mit_b2_segformer_head_unet_fc_single_step_ade_pretrained_freeze_embed_80k_ade20k151_logits/20230304_211228.log new file mode 100644 index 0000000000000000000000000000000000000000..451ab21c1f134368f7507850b91e12da657837a5 --- /dev/null +++ b/ablation/ablation_segformer_mit_b2_segformer_head_unet_fc_single_step_ade_pretrained_freeze_embed_80k_ade20k151_logits/20230304_211228.log @@ -0,0 +1,4349 @@ +2023-03-04 21:12:28,359 - mmseg - INFO - Multi-processing start method is `None` +2023-03-04 21:12:28,372 - mmseg - INFO - OpenCV num_threads is `128 +2023-03-04 21:12:28,372 - mmseg - INFO - OMP num threads is 1 +2023-03-04 21:12:28,450 - mmseg - INFO - Environment info: +------------------------------------------------------------ +sys.platform: linux +Python: 3.7.16 (default, Jan 17 2023, 22:20:44) [GCC 11.2.0] +CUDA available: True +GPU 0,1,2,3,4,5,6,7: NVIDIA A100-SXM4-80GB +CUDA_HOME: /mnt/petrelfs/laizeqiang/miniconda3/envs/torch +NVCC: Cuda compilation tools, release 11.6, V11.6.124 +GCC: gcc (GCC) 4.8.5 20150623 (Red Hat 4.8.5-44) +PyTorch: 1.13.1 +PyTorch compiling details: PyTorch built with: + - GCC 9.3 + - C++ Version: 201402 + - Intel(R) oneAPI Math Kernel Library Version 2021.4-Product Build 20210904 for Intel(R) 64 architecture applications + - Intel(R) MKL-DNN v2.6.0 (Git Hash 52b5f107dd9cf10910aaa19cb47f3abf9b349815) + - OpenMP 201511 (a.k.a. OpenMP 4.5) + - LAPACK is enabled (usually provided by MKL) + - NNPACK is enabled + - CPU capability usage: AVX2 + - CUDA Runtime 11.6 + - NVCC architecture flags: -gencode;arch=compute_37,code=sm_37;-gencode;arch=compute_50,code=sm_50;-gencode;arch=compute_60,code=sm_60;-gencode;arch=compute_61,code=sm_61;-gencode;arch=compute_70,code=sm_70;-gencode;arch=compute_75,code=sm_75;-gencode;arch=compute_80,code=sm_80;-gencode;arch=compute_86,code=sm_86;-gencode;arch=compute_37,code=compute_37 + - CuDNN 8.3.2 (built against CUDA 11.5) + - Magma 2.6.1 + - Build settings: BLAS_INFO=mkl, BUILD_TYPE=Release, CUDA_VERSION=11.6, CUDNN_VERSION=8.3.2, CXX_COMPILER=/opt/rh/devtoolset-9/root/usr/bin/c++, CXX_FLAGS= -fabi-version=11 -Wno-deprecated -fvisibility-inlines-hidden -DUSE_PTHREADPOOL -fopenmp -DNDEBUG -DUSE_KINETO -DUSE_FBGEMM -DUSE_QNNPACK -DUSE_PYTORCH_QNNPACK -DUSE_XNNPACK -DSYMBOLICATE_MOBILE_DEBUG_HANDLE -DEDGE_PROFILER_USE_KINETO -O2 -fPIC -Wno-narrowing -Wall -Wextra -Werror=return-type -Werror=non-virtual-dtor -Wno-missing-field-initializers -Wno-type-limits -Wno-array-bounds -Wno-unknown-pragmas -Wunused-local-typedefs -Wno-unused-parameter -Wno-unused-function -Wno-unused-result -Wno-strict-overflow -Wno-strict-aliasing -Wno-error=deprecated-declarations -Wno-stringop-overflow -Wno-psabi -Wno-error=pedantic -Wno-error=redundant-decls -Wno-error=old-style-cast -fdiagnostics-color=always -faligned-new -Wno-unused-but-set-variable -Wno-maybe-uninitialized -fno-math-errno -fno-trapping-math -Werror=format -Werror=cast-function-type -Wno-stringop-overflow, LAPACK_INFO=mkl, PERF_WITH_AVX=1, PERF_WITH_AVX2=1, PERF_WITH_AVX512=1, TORCH_VERSION=1.13.1, USE_CUDA=ON, USE_CUDNN=ON, USE_EXCEPTION_PTR=1, USE_GFLAGS=OFF, USE_GLOG=OFF, USE_MKL=ON, USE_MKLDNN=ON, USE_MPI=OFF, USE_NCCL=ON, USE_NNPACK=ON, USE_OPENMP=ON, USE_ROCM=OFF, + +TorchVision: 0.14.1 +OpenCV: 4.7.0 +MMCV: 1.7.1 +MMCV Compiler: GCC 9.3 +MMCV CUDA Compiler: 11.6 +MMSegmentation: 0.30.0+6749699 +------------------------------------------------------------ + +2023-03-04 21:12:28,450 - mmseg - INFO - Distributed training: True +2023-03-04 21:12:29,150 - mmseg - INFO - Config: +norm_cfg = dict(type='SyncBN', requires_grad=True) +checkpoint = 'pretrained/segformer_mit-b2_512x512_160k_ade20k_20220620_114047-64e4feca.pth' +model = dict( + type='EncoderDecoderFreeze', + freeze_parameters=['backbone', 'decode_head'], + pretrained= + 'pretrained/segformer_mit-b2_512x512_160k_ade20k_20220620_114047-64e4feca.pth', + backbone=dict( + type='MixVisionTransformerCustomInitWeights', + in_channels=3, + embed_dims=64, + num_stages=4, + num_layers=[3, 4, 6, 3], + num_heads=[1, 2, 5, 8], + patch_sizes=[7, 3, 3, 3], + sr_ratios=[8, 4, 2, 1], + out_indices=(0, 1, 2, 3), + mlp_ratio=4, + qkv_bias=True, + drop_rate=0.0, + attn_drop_rate=0.0, + drop_path_rate=0.1), + decode_head=dict( + type='SegformerHeadUnetFCHeadSingleStepLogits', + pretrained= + 'pretrained/segformer_mit-b2_512x512_160k_ade20k_20220620_114047-64e4feca.pth', + dim=128, + out_dim=256, + unet_channels=166, + dim_mults=[1, 1, 1], + cat_embedding_dim=16, + in_channels=[64, 128, 320, 512], + in_index=[0, 1, 2, 3], + channels=256, + dropout_ratio=0.1, + num_classes=151, + norm_cfg=dict(type='SyncBN', requires_grad=True), + align_corners=False, + ignore_index=0, + loss_decode=dict( + type='CrossEntropyLoss', use_sigmoid=False, loss_weight=1.0)), + train_cfg=dict(), + test_cfg=dict(mode='whole')) +dataset_type = 'ADE20K151Dataset' +data_root = 'data/ade/ADEChallengeData2016' +img_norm_cfg = dict( + mean=[123.675, 116.28, 103.53], std=[58.395, 57.12, 57.375], to_rgb=True) +crop_size = (512, 512) +train_pipeline = [ + dict(type='LoadImageFromFile'), + dict(type='LoadAnnotations', reduce_zero_label=False), + dict(type='Resize', img_scale=(2048, 512), ratio_range=(0.5, 2.0)), + dict(type='RandomCrop', crop_size=(512, 512), cat_max_ratio=0.75), + dict(type='RandomFlip', prob=0.5), + dict(type='PhotoMetricDistortion'), + dict( + type='Normalize', + mean=[123.675, 116.28, 103.53], + std=[58.395, 57.12, 57.375], + to_rgb=True), + dict(type='Pad', size=(512, 512), pad_val=0, seg_pad_val=0), + dict(type='DefaultFormatBundle'), + dict(type='Collect', keys=['img', 'gt_semantic_seg']) +] +test_pipeline = [ + dict(type='LoadImageFromFile'), + dict( + type='MultiScaleFlipAug', + img_scale=(2048, 512), + flip=False, + transforms=[ + dict(type='Resize', keep_ratio=True), + dict(type='RandomFlip'), + dict( + type='Normalize', + mean=[123.675, 116.28, 103.53], + std=[58.395, 57.12, 57.375], + to_rgb=True), + dict(type='Pad', size_divisor=16, pad_val=0, seg_pad_val=0), + dict(type='ImageToTensor', keys=['img']), + dict(type='Collect', keys=['img']) + ]) +] +data = dict( + samples_per_gpu=4, + workers_per_gpu=4, + train=dict( + type='ADE20K151Dataset', + data_root='data/ade/ADEChallengeData2016', + img_dir='images/training', + ann_dir='annotations/training', + pipeline=[ + dict(type='LoadImageFromFile'), + dict(type='LoadAnnotations', reduce_zero_label=False), + dict(type='Resize', img_scale=(2048, 512), ratio_range=(0.5, 2.0)), + dict(type='RandomCrop', crop_size=(512, 512), cat_max_ratio=0.75), + dict(type='RandomFlip', prob=0.5), + dict(type='PhotoMetricDistortion'), + dict( + type='Normalize', + mean=[123.675, 116.28, 103.53], + std=[58.395, 57.12, 57.375], + to_rgb=True), + dict(type='Pad', size=(512, 512), pad_val=0, seg_pad_val=0), + dict(type='DefaultFormatBundle'), + dict(type='Collect', keys=['img', 'gt_semantic_seg']) + ]), + val=dict( + type='ADE20K151Dataset', + data_root='data/ade/ADEChallengeData2016', + img_dir='images/validation', + ann_dir='annotations/validation', + pipeline=[ + dict(type='LoadImageFromFile'), + dict( + type='MultiScaleFlipAug', + img_scale=(2048, 512), + flip=False, + transforms=[ + dict(type='Resize', keep_ratio=True), + dict(type='RandomFlip'), + dict( + type='Normalize', + mean=[123.675, 116.28, 103.53], + std=[58.395, 57.12, 57.375], + to_rgb=True), + dict( + type='Pad', size_divisor=16, pad_val=0, seg_pad_val=0), + dict(type='ImageToTensor', keys=['img']), + dict(type='Collect', keys=['img']) + ]) + ]), + test=dict( + type='ADE20K151Dataset', + data_root='data/ade/ADEChallengeData2016', + img_dir='images/validation', + ann_dir='annotations/validation', + pipeline=[ + dict(type='LoadImageFromFile'), + dict( + type='MultiScaleFlipAug', + img_scale=(2048, 512), + flip=False, + transforms=[ + dict(type='Resize', keep_ratio=True), + dict(type='RandomFlip'), + dict( + type='Normalize', + mean=[123.675, 116.28, 103.53], + std=[58.395, 57.12, 57.375], + to_rgb=True), + dict( + type='Pad', size_divisor=16, pad_val=0, seg_pad_val=0), + dict(type='ImageToTensor', keys=['img']), + dict(type='Collect', keys=['img']) + ]) + ])) +log_config = dict( + interval=50, hooks=[dict(type='TextLoggerHook', by_epoch=False)]) +dist_params = dict(backend='nccl') +log_level = 'INFO' +load_from = None +resume_from = None +workflow = [('train', 1)] +cudnn_benchmark = True +optimizer = dict( + type='AdamW', lr=0.00015, betas=[0.9, 0.96], weight_decay=0.045) +optimizer_config = dict() +lr_config = dict( + policy='step', + warmup='linear', + warmup_iters=1000, + warmup_ratio=1e-06, + step=10000, + gamma=0.5, + min_lr=1e-06, + by_epoch=False) +runner = dict(type='IterBasedRunner', max_iters=80000) +checkpoint_config = dict(by_epoch=False, interval=8000) +evaluation = dict( + interval=8000, metric='mIoU', pre_eval=True, save_best='mIoU') +work_dir = './work_dirs2/ablation_segformer_mit_b2_segformer_head_unet_fc_single_step_ade_pretrained_freeze_embed_80k_ade20k151_logits' +gpu_ids = range(0, 8) +auto_resume = True + +2023-03-04 21:12:34,049 - mmseg - INFO - Set random seed to 1340171616, deterministic: False +2023-03-04 21:12:34,298 - mmseg - INFO - Parameters in backbone freezed! +2023-03-04 21:12:34,299 - mmseg - INFO - Trainable parameters in SegformerHeadUnetFCHeadSingleStep: ['unet.init_conv.weight', 'unet.init_conv.bias', 'unet.time_mlp.1.weight', 'unet.time_mlp.1.bias', 'unet.time_mlp.3.weight', 'unet.time_mlp.3.bias', 'unet.downs.0.0.mlp.1.weight', 'unet.downs.0.0.mlp.1.bias', 'unet.downs.0.0.block1.proj.weight', 'unet.downs.0.0.block1.proj.bias', 'unet.downs.0.0.block1.norm.weight', 'unet.downs.0.0.block1.norm.bias', 'unet.downs.0.0.block2.proj.weight', 'unet.downs.0.0.block2.proj.bias', 'unet.downs.0.0.block2.norm.weight', 'unet.downs.0.0.block2.norm.bias', 'unet.downs.0.1.mlp.1.weight', 'unet.downs.0.1.mlp.1.bias', 'unet.downs.0.1.block1.proj.weight', 'unet.downs.0.1.block1.proj.bias', 'unet.downs.0.1.block1.norm.weight', 'unet.downs.0.1.block1.norm.bias', 'unet.downs.0.1.block2.proj.weight', 'unet.downs.0.1.block2.proj.bias', 'unet.downs.0.1.block2.norm.weight', 'unet.downs.0.1.block2.norm.bias', 'unet.downs.0.2.fn.fn.to_qkv.weight', 'unet.downs.0.2.fn.fn.to_out.0.weight', 'unet.downs.0.2.fn.fn.to_out.0.bias', 'unet.downs.0.2.fn.fn.to_out.1.g', 'unet.downs.0.2.fn.norm.g', 'unet.downs.0.3.weight', 'unet.downs.0.3.bias', 'unet.downs.1.0.mlp.1.weight', 'unet.downs.1.0.mlp.1.bias', 'unet.downs.1.0.block1.proj.weight', 'unet.downs.1.0.block1.proj.bias', 'unet.downs.1.0.block1.norm.weight', 'unet.downs.1.0.block1.norm.bias', 'unet.downs.1.0.block2.proj.weight', 'unet.downs.1.0.block2.proj.bias', 'unet.downs.1.0.block2.norm.weight', 'unet.downs.1.0.block2.norm.bias', 'unet.downs.1.1.mlp.1.weight', 'unet.downs.1.1.mlp.1.bias', 'unet.downs.1.1.block1.proj.weight', 'unet.downs.1.1.block1.proj.bias', 'unet.downs.1.1.block1.norm.weight', 'unet.downs.1.1.block1.norm.bias', 'unet.downs.1.1.block2.proj.weight', 'unet.downs.1.1.block2.proj.bias', 'unet.downs.1.1.block2.norm.weight', 'unet.downs.1.1.block2.norm.bias', 'unet.downs.1.2.fn.fn.to_qkv.weight', 'unet.downs.1.2.fn.fn.to_out.0.weight', 'unet.downs.1.2.fn.fn.to_out.0.bias', 'unet.downs.1.2.fn.fn.to_out.1.g', 'unet.downs.1.2.fn.norm.g', 'unet.downs.1.3.weight', 'unet.downs.1.3.bias', 'unet.downs.2.0.mlp.1.weight', 'unet.downs.2.0.mlp.1.bias', 'unet.downs.2.0.block1.proj.weight', 'unet.downs.2.0.block1.proj.bias', 'unet.downs.2.0.block1.norm.weight', 'unet.downs.2.0.block1.norm.bias', 'unet.downs.2.0.block2.proj.weight', 'unet.downs.2.0.block2.proj.bias', 'unet.downs.2.0.block2.norm.weight', 'unet.downs.2.0.block2.norm.bias', 'unet.downs.2.1.mlp.1.weight', 'unet.downs.2.1.mlp.1.bias', 'unet.downs.2.1.block1.proj.weight', 'unet.downs.2.1.block1.proj.bias', 'unet.downs.2.1.block1.norm.weight', 'unet.downs.2.1.block1.norm.bias', 'unet.downs.2.1.block2.proj.weight', 'unet.downs.2.1.block2.proj.bias', 'unet.downs.2.1.block2.norm.weight', 'unet.downs.2.1.block2.norm.bias', 'unet.downs.2.2.fn.fn.to_qkv.weight', 'unet.downs.2.2.fn.fn.to_out.0.weight', 'unet.downs.2.2.fn.fn.to_out.0.bias', 'unet.downs.2.2.fn.fn.to_out.1.g', 'unet.downs.2.2.fn.norm.g', 'unet.downs.2.3.weight', 'unet.downs.2.3.bias', 'unet.ups.0.0.mlp.1.weight', 'unet.ups.0.0.mlp.1.bias', 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'unet.ups.1.0.block1.proj.weight', 'unet.ups.1.0.block1.proj.bias', 'unet.ups.1.0.block1.norm.weight', 'unet.ups.1.0.block1.norm.bias', 'unet.ups.1.0.block2.proj.weight', 'unet.ups.1.0.block2.proj.bias', 'unet.ups.1.0.block2.norm.weight', 'unet.ups.1.0.block2.norm.bias', 'unet.ups.1.0.res_conv.weight', 'unet.ups.1.0.res_conv.bias', 'unet.ups.1.1.mlp.1.weight', 'unet.ups.1.1.mlp.1.bias', 'unet.ups.1.1.block1.proj.weight', 'unet.ups.1.1.block1.proj.bias', 'unet.ups.1.1.block1.norm.weight', 'unet.ups.1.1.block1.norm.bias', 'unet.ups.1.1.block2.proj.weight', 'unet.ups.1.1.block2.proj.bias', 'unet.ups.1.1.block2.norm.weight', 'unet.ups.1.1.block2.norm.bias', 'unet.ups.1.1.res_conv.weight', 'unet.ups.1.1.res_conv.bias', 'unet.ups.1.2.fn.fn.to_qkv.weight', 'unet.ups.1.2.fn.fn.to_out.0.weight', 'unet.ups.1.2.fn.fn.to_out.0.bias', 'unet.ups.1.2.fn.fn.to_out.1.g', 'unet.ups.1.2.fn.norm.g', 'unet.ups.1.3.1.weight', 'unet.ups.1.3.1.bias', 'unet.ups.2.0.mlp.1.weight', 'unet.ups.2.0.mlp.1.bias', 'unet.ups.2.0.block1.proj.weight', 'unet.ups.2.0.block1.proj.bias', 'unet.ups.2.0.block1.norm.weight', 'unet.ups.2.0.block1.norm.bias', 'unet.ups.2.0.block2.proj.weight', 'unet.ups.2.0.block2.proj.bias', 'unet.ups.2.0.block2.norm.weight', 'unet.ups.2.0.block2.norm.bias', 'unet.ups.2.0.res_conv.weight', 'unet.ups.2.0.res_conv.bias', 'unet.ups.2.1.mlp.1.weight', 'unet.ups.2.1.mlp.1.bias', 'unet.ups.2.1.block1.proj.weight', 'unet.ups.2.1.block1.proj.bias', 'unet.ups.2.1.block1.norm.weight', 'unet.ups.2.1.block1.norm.bias', 'unet.ups.2.1.block2.proj.weight', 'unet.ups.2.1.block2.proj.bias', 'unet.ups.2.1.block2.norm.weight', 'unet.ups.2.1.block2.norm.bias', 'unet.ups.2.1.res_conv.weight', 'unet.ups.2.1.res_conv.bias', 'unet.ups.2.2.fn.fn.to_qkv.weight', 'unet.ups.2.2.fn.fn.to_out.0.weight', 'unet.ups.2.2.fn.fn.to_out.0.bias', 'unet.ups.2.2.fn.fn.to_out.1.g', 'unet.ups.2.2.fn.norm.g', 'unet.ups.2.3.weight', 'unet.ups.2.3.bias', 'unet.mid_block1.mlp.1.weight', 'unet.mid_block1.mlp.1.bias', 'unet.mid_block1.block1.proj.weight', 'unet.mid_block1.block1.proj.bias', 'unet.mid_block1.block1.norm.weight', 'unet.mid_block1.block1.norm.bias', 'unet.mid_block1.block2.proj.weight', 'unet.mid_block1.block2.proj.bias', 'unet.mid_block1.block2.norm.weight', 'unet.mid_block1.block2.norm.bias', 'unet.mid_attn.fn.fn.to_qkv.weight', 'unet.mid_attn.fn.fn.to_out.weight', 'unet.mid_attn.fn.fn.to_out.bias', 'unet.mid_attn.fn.norm.g', 'unet.mid_block2.mlp.1.weight', 'unet.mid_block2.mlp.1.bias', 'unet.mid_block2.block1.proj.weight', 'unet.mid_block2.block1.proj.bias', 'unet.mid_block2.block1.norm.weight', 'unet.mid_block2.block1.norm.bias', 'unet.mid_block2.block2.proj.weight', 'unet.mid_block2.block2.proj.bias', 'unet.mid_block2.block2.norm.weight', 'unet.mid_block2.block2.norm.bias', 'unet.final_res_block.mlp.1.weight', 'unet.final_res_block.mlp.1.bias', 'unet.final_res_block.block1.proj.weight', 'unet.final_res_block.block1.proj.bias', 'unet.final_res_block.block1.norm.weight', 'unet.final_res_block.block1.norm.bias', 'unet.final_res_block.block2.proj.weight', 'unet.final_res_block.block2.proj.bias', 'unet.final_res_block.block2.norm.weight', 'unet.final_res_block.block2.norm.bias', 'unet.final_res_block.res_conv.weight', 'unet.final_res_block.res_conv.bias', 'unet.final_conv.weight', 'unet.final_conv.bias', 'conv_seg_new.weight', 'conv_seg_new.bias'] +2023-03-04 21:12:34,299 - mmseg - INFO - Parameters in decode_head freezed! +2023-03-04 21:12:34,321 - mmseg - INFO - load checkpoint from local path: pretrained/segformer_mit-b2_512x512_160k_ade20k_20220620_114047-64e4feca.pth +2023-03-04 21:12:34,592 - mmseg - WARNING - The model and loaded state dict do not match exactly + +unexpected key in source state_dict: decode_head.conv_seg.weight, decode_head.conv_seg.bias, decode_head.convs.0.conv.weight, decode_head.convs.0.bn.weight, decode_head.convs.0.bn.bias, decode_head.convs.0.bn.running_mean, decode_head.convs.0.bn.running_var, decode_head.convs.0.bn.num_batches_tracked, decode_head.convs.1.conv.weight, decode_head.convs.1.bn.weight, decode_head.convs.1.bn.bias, decode_head.convs.1.bn.running_mean, decode_head.convs.1.bn.running_var, decode_head.convs.1.bn.num_batches_tracked, decode_head.convs.2.conv.weight, decode_head.convs.2.bn.weight, decode_head.convs.2.bn.bias, decode_head.convs.2.bn.running_mean, decode_head.convs.2.bn.running_var, decode_head.convs.2.bn.num_batches_tracked, decode_head.convs.3.conv.weight, decode_head.convs.3.bn.weight, decode_head.convs.3.bn.bias, decode_head.convs.3.bn.running_mean, decode_head.convs.3.bn.running_var, decode_head.convs.3.bn.num_batches_tracked, decode_head.fusion_conv.conv.weight, decode_head.fusion_conv.bn.weight, decode_head.fusion_conv.bn.bias, decode_head.fusion_conv.bn.running_mean, decode_head.fusion_conv.bn.running_var, decode_head.fusion_conv.bn.num_batches_tracked + +2023-03-04 21:12:34,604 - mmseg - INFO - load checkpoint from local path: pretrained/segformer_mit-b2_512x512_160k_ade20k_20220620_114047-64e4feca.pth +2023-03-04 21:12:34,840 - mmseg - WARNING - The model and loaded state dict do not match exactly + +unexpected key in source state_dict: backbone.layers.0.0.projection.weight, backbone.layers.0.0.projection.bias, backbone.layers.0.0.norm.weight, backbone.layers.0.0.norm.bias, backbone.layers.0.1.0.norm1.weight, backbone.layers.0.1.0.norm1.bias, backbone.layers.0.1.0.attn.attn.in_proj_weight, backbone.layers.0.1.0.attn.attn.in_proj_bias, backbone.layers.0.1.0.attn.attn.out_proj.weight, backbone.layers.0.1.0.attn.attn.out_proj.bias, backbone.layers.0.1.0.attn.sr.weight, backbone.layers.0.1.0.attn.sr.bias, backbone.layers.0.1.0.attn.norm.weight, backbone.layers.0.1.0.attn.norm.bias, backbone.layers.0.1.0.norm2.weight, backbone.layers.0.1.0.norm2.bias, backbone.layers.0.1.0.ffn.layers.0.weight, backbone.layers.0.1.0.ffn.layers.0.bias, backbone.layers.0.1.0.ffn.layers.1.weight, 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) + (dropout_layer): DropPath() + ) + ) + (3): TransformerEncoderLayer( + (norm1): LayerNorm((128,), eps=1e-06, elementwise_affine=True) + (attn): EfficientMultiheadAttention( + (attn): MultiheadAttention( + (out_proj): NonDynamicallyQuantizableLinear(in_features=128, out_features=128, bias=True) + ) + (proj_drop): Dropout(p=0.0, inplace=False) + (dropout_layer): DropPath() + (sr): Conv2d(128, 128, kernel_size=(4, 4), stride=(4, 4)) + (norm): LayerNorm((128,), eps=1e-06, elementwise_affine=True) + ) + (norm2): LayerNorm((128,), eps=1e-06, elementwise_affine=True) + (ffn): MixFFN( + (activate): GELU(approximate='none') + (layers): Sequential( + (0): Conv2d(128, 512, kernel_size=(1, 1), stride=(1, 1)) + (1): Conv2d(512, 512, kernel_size=(3, 3), stride=(1, 1), padding=(1, 1), groups=512) + (2): GELU(approximate='none') + (3): Dropout(p=0.0, inplace=False) + (4): Conv2d(512, 128, kernel_size=(1, 1), stride=(1, 1)) + (5): Dropout(p=0.0, inplace=False) + ) + (dropout_layer): DropPath() + ) + ) + ) + (2): LayerNorm((128,), eps=1e-06, elementwise_affine=True) + ) + (2): ModuleList( + (0): PatchEmbed( + (projection): Conv2d(128, 320, kernel_size=(3, 3), stride=(2, 2), padding=(1, 1)) + (norm): LayerNorm((320,), eps=1e-06, elementwise_affine=True) + ) + (1): ModuleList( + (0): TransformerEncoderLayer( + (norm1): LayerNorm((320,), eps=1e-06, elementwise_affine=True) + (attn): EfficientMultiheadAttention( + (attn): MultiheadAttention( + (out_proj): NonDynamicallyQuantizableLinear(in_features=320, out_features=320, bias=True) + ) + (proj_drop): Dropout(p=0.0, inplace=False) + (dropout_layer): DropPath() + (sr): Conv2d(320, 320, kernel_size=(2, 2), stride=(2, 2)) + (norm): LayerNorm((320,), eps=1e-06, elementwise_affine=True) + ) + (norm2): LayerNorm((320,), eps=1e-06, elementwise_affine=True) + (ffn): MixFFN( + (activate): GELU(approximate='none') + (layers): Sequential( + (0): Conv2d(320, 1280, kernel_size=(1, 1), stride=(1, 1)) + (1): Conv2d(1280, 1280, kernel_size=(3, 3), stride=(1, 1), padding=(1, 1), groups=1280) + (2): GELU(approximate='none') + (3): Dropout(p=0.0, inplace=False) + (4): Conv2d(1280, 320, kernel_size=(1, 1), stride=(1, 1)) + (5): Dropout(p=0.0, inplace=False) + ) + (dropout_layer): DropPath() + ) + ) + (1): TransformerEncoderLayer( + (norm1): LayerNorm((320,), eps=1e-06, elementwise_affine=True) + (attn): EfficientMultiheadAttention( + (attn): MultiheadAttention( + (out_proj): NonDynamicallyQuantizableLinear(in_features=320, out_features=320, bias=True) + ) + (proj_drop): Dropout(p=0.0, inplace=False) + (dropout_layer): DropPath() + (sr): Conv2d(320, 320, kernel_size=(2, 2), stride=(2, 2)) + (norm): LayerNorm((320,), eps=1e-06, elementwise_affine=True) + ) + (norm2): LayerNorm((320,), eps=1e-06, elementwise_affine=True) + (ffn): MixFFN( + (activate): GELU(approximate='none') + (layers): Sequential( + (0): Conv2d(320, 1280, kernel_size=(1, 1), stride=(1, 1)) + (1): Conv2d(1280, 1280, kernel_size=(3, 3), stride=(1, 1), padding=(1, 1), 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GELU(approximate='none') + (3): Dropout(p=0.0, inplace=False) + (4): Conv2d(1280, 320, kernel_size=(1, 1), stride=(1, 1)) + (5): Dropout(p=0.0, inplace=False) + ) + (dropout_layer): DropPath() + ) + ) + (3): TransformerEncoderLayer( + (norm1): LayerNorm((320,), eps=1e-06, elementwise_affine=True) + (attn): EfficientMultiheadAttention( + (attn): MultiheadAttention( + (out_proj): NonDynamicallyQuantizableLinear(in_features=320, out_features=320, bias=True) + ) + (proj_drop): Dropout(p=0.0, inplace=False) + (dropout_layer): DropPath() + (sr): Conv2d(320, 320, kernel_size=(2, 2), stride=(2, 2)) + (norm): LayerNorm((320,), eps=1e-06, elementwise_affine=True) + ) + (norm2): LayerNorm((320,), eps=1e-06, elementwise_affine=True) + (ffn): MixFFN( + (activate): GELU(approximate='none') + (layers): Sequential( + (0): Conv2d(320, 1280, kernel_size=(1, 1), stride=(1, 1)) + (1): Conv2d(1280, 1280, kernel_size=(3, 3), stride=(1, 1), padding=(1, 1), groups=1280) + (2): GELU(approximate='none') + (3): 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(4): Conv2d(1280, 320, kernel_size=(1, 1), stride=(1, 1)) + (5): Dropout(p=0.0, inplace=False) + ) + (dropout_layer): DropPath() + ) + ) + (5): TransformerEncoderLayer( + (norm1): LayerNorm((320,), eps=1e-06, elementwise_affine=True) + (attn): EfficientMultiheadAttention( + (attn): MultiheadAttention( + (out_proj): NonDynamicallyQuantizableLinear(in_features=320, out_features=320, bias=True) + ) + (proj_drop): Dropout(p=0.0, inplace=False) + (dropout_layer): DropPath() + (sr): Conv2d(320, 320, kernel_size=(2, 2), stride=(2, 2)) + (norm): LayerNorm((320,), eps=1e-06, elementwise_affine=True) + ) + (norm2): LayerNorm((320,), eps=1e-06, elementwise_affine=True) + (ffn): MixFFN( + (activate): GELU(approximate='none') + (layers): Sequential( + (0): Conv2d(320, 1280, kernel_size=(1, 1), stride=(1, 1)) + (1): Conv2d(1280, 1280, kernel_size=(3, 3), stride=(1, 1), padding=(1, 1), groups=1280) + (2): GELU(approximate='none') + (3): Dropout(p=0.0, inplace=False) + (4): Conv2d(1280, 320, kernel_size=(1, 1), stride=(1, 1)) + (5): Dropout(p=0.0, inplace=False) + ) + (dropout_layer): DropPath() + ) + ) + ) + (2): LayerNorm((320,), eps=1e-06, elementwise_affine=True) + ) + (3): ModuleList( + (0): PatchEmbed( + (projection): Conv2d(320, 512, kernel_size=(3, 3), stride=(2, 2), padding=(1, 1)) + (norm): LayerNorm((512,), eps=1e-06, elementwise_affine=True) + ) + (1): ModuleList( + (0): TransformerEncoderLayer( + (norm1): LayerNorm((512,), eps=1e-06, elementwise_affine=True) + (attn): EfficientMultiheadAttention( + (attn): MultiheadAttention( + (out_proj): NonDynamicallyQuantizableLinear(in_features=512, out_features=512, bias=True) + ) + (proj_drop): Dropout(p=0.0, inplace=False) + (dropout_layer): DropPath() + ) + (norm2): LayerNorm((512,), eps=1e-06, elementwise_affine=True) + (ffn): MixFFN( + (activate): GELU(approximate='none') + (layers): Sequential( + (0): Conv2d(512, 2048, kernel_size=(1, 1), stride=(1, 1)) + (1): Conv2d(2048, 2048, kernel_size=(3, 3), stride=(1, 1), padding=(1, 1), groups=2048) + (2): GELU(approximate='none') + (3): Dropout(p=0.0, inplace=False) + (4): Conv2d(2048, 512, kernel_size=(1, 1), stride=(1, 1)) + (5): Dropout(p=0.0, inplace=False) + ) + (dropout_layer): DropPath() + ) + ) + (1): TransformerEncoderLayer( + (norm1): LayerNorm((512,), eps=1e-06, elementwise_affine=True) + (attn): EfficientMultiheadAttention( + (attn): MultiheadAttention( + (out_proj): NonDynamicallyQuantizableLinear(in_features=512, out_features=512, bias=True) + ) + (proj_drop): Dropout(p=0.0, inplace=False) + (dropout_layer): DropPath() + ) + (norm2): LayerNorm((512,), eps=1e-06, elementwise_affine=True) + (ffn): MixFFN( + (activate): GELU(approximate='none') + (layers): Sequential( + (0): Conv2d(512, 2048, kernel_size=(1, 1), stride=(1, 1)) + (1): Conv2d(2048, 2048, kernel_size=(3, 3), stride=(1, 1), padding=(1, 1), groups=2048) + (2): GELU(approximate='none') + (3): Dropout(p=0.0, inplace=False) + (4): Conv2d(2048, 512, kernel_size=(1, 1), stride=(1, 1)) + (5): Dropout(p=0.0, inplace=False) + ) + (dropout_layer): DropPath() + ) + ) + (2): TransformerEncoderLayer( + (norm1): LayerNorm((512,), eps=1e-06, elementwise_affine=True) + (attn): EfficientMultiheadAttention( + (attn): MultiheadAttention( + (out_proj): NonDynamicallyQuantizableLinear(in_features=512, out_features=512, bias=True) + ) + (proj_drop): Dropout(p=0.0, inplace=False) + (dropout_layer): DropPath() + ) + (norm2): LayerNorm((512,), eps=1e-06, elementwise_affine=True) + (ffn): MixFFN( + (activate): GELU(approximate='none') + (layers): Sequential( + (0): Conv2d(512, 2048, kernel_size=(1, 1), stride=(1, 1)) + (1): Conv2d(2048, 2048, kernel_size=(3, 3), stride=(1, 1), padding=(1, 1), groups=2048) + (2): GELU(approximate='none') + (3): Dropout(p=0.0, inplace=False) + (4): Conv2d(2048, 512, kernel_size=(1, 1), stride=(1, 1)) + (5): Dropout(p=0.0, inplace=False) + ) + (dropout_layer): DropPath() + ) + ) + ) + (2): LayerNorm((512,), eps=1e-06, elementwise_affine=True) + ) + ) + ) + init_cfg={'type': 'Pretrained', 'checkpoint': 'pretrained/segformer_mit-b2_512x512_160k_ade20k_20220620_114047-64e4feca.pth'} + (decode_head): SegformerHeadUnetFCHeadSingleStepLogits( + input_transform=multiple_select, ignore_index=0, align_corners=False + (loss_decode): CrossEntropyLoss(avg_non_ignore=False) + (conv_seg): Conv2d(256, 150, kernel_size=(1, 1), stride=(1, 1)) + (dropout): Dropout2d(p=0.1, inplace=False) + (convs): ModuleList( + (0): ConvModule( + (conv): Conv2d(64, 256, kernel_size=(1, 1), stride=(1, 1), bias=False) + (bn): SyncBatchNorm(256, eps=1e-05, momentum=0.1, affine=True, track_running_stats=True) + (activate): ReLU(inplace=True) + ) + (1): ConvModule( + (conv): Conv2d(128, 256, kernel_size=(1, 1), stride=(1, 1), bias=False) + (bn): SyncBatchNorm(256, eps=1e-05, momentum=0.1, affine=True, track_running_stats=True) + (activate): ReLU(inplace=True) + ) + (2): ConvModule( + (conv): Conv2d(320, 256, kernel_size=(1, 1), stride=(1, 1), bias=False) + (bn): SyncBatchNorm(256, eps=1e-05, momentum=0.1, affine=True, track_running_stats=True) + (activate): ReLU(inplace=True) + ) + (3): ConvModule( + (conv): Conv2d(512, 256, kernel_size=(1, 1), stride=(1, 1), bias=False) + (bn): SyncBatchNorm(256, eps=1e-05, momentum=0.1, affine=True, track_running_stats=True) + (activate): ReLU(inplace=True) + ) + ) + (fusion_conv): ConvModule( + (conv): Conv2d(1024, 256, kernel_size=(1, 1), stride=(1, 1), bias=False) + (bn): SyncBatchNorm(256, eps=1e-05, momentum=0.1, affine=True, track_running_stats=True) + (activate): ReLU(inplace=True) + ) + (unet): Unet( + (init_conv): Conv2d(166, 128, kernel_size=(7, 7), stride=(1, 1), padding=(3, 3)) + (time_mlp): Sequential( + (0): SinusoidalPosEmb() + (1): Linear(in_features=128, out_features=512, bias=True) + (2): GELU(approximate='none') + (3): Linear(in_features=512, out_features=512, bias=True) + ) + (downs): ModuleList( + (0): ModuleList( + (0): ResnetBlock( + (mlp): Sequential( + (0): SiLU() + (1): Linear(in_features=512, out_features=256, bias=True) + ) + (block1): Block( + (proj): WeightStandardizedConv2d(128, 128, kernel_size=(3, 3), stride=(1, 1), padding=(1, 1)) + (norm): GroupNorm(8, 128, eps=1e-05, affine=True) + (act): SiLU() + ) + (block2): Block( + (proj): WeightStandardizedConv2d(128, 128, kernel_size=(3, 3), stride=(1, 1), padding=(1, 1)) + (norm): GroupNorm(8, 128, eps=1e-05, affine=True) + (act): SiLU() + ) + (res_conv): Identity() + ) + (1): ResnetBlock( + (mlp): Sequential( + (0): SiLU() + (1): Linear(in_features=512, out_features=256, bias=True) + ) + (block1): Block( + (proj): WeightStandardizedConv2d(128, 128, kernel_size=(3, 3), stride=(1, 1), padding=(1, 1)) + (norm): GroupNorm(8, 128, eps=1e-05, affine=True) + (act): SiLU() + ) + (block2): Block( + (proj): WeightStandardizedConv2d(128, 128, kernel_size=(3, 3), stride=(1, 1), padding=(1, 1)) + (norm): GroupNorm(8, 128, eps=1e-05, affine=True) + (act): SiLU() + ) + (res_conv): Identity() + ) + (2): Residual( + (fn): PreNorm( + (fn): LinearAttention( + (to_qkv): Conv2d(128, 384, kernel_size=(1, 1), stride=(1, 1), bias=False) + (to_out): Sequential( + (0): Conv2d(128, 128, kernel_size=(1, 1), stride=(1, 1)) + (1): LayerNorm() + ) + ) + (norm): LayerNorm() + ) + ) + (3): Conv2d(128, 128, kernel_size=(4, 4), stride=(2, 2), padding=(1, 1)) + ) + (1): ModuleList( + (0): ResnetBlock( + (mlp): Sequential( + (0): SiLU() + (1): Linear(in_features=512, out_features=256, bias=True) + ) + (block1): Block( + (proj): WeightStandardizedConv2d(128, 128, kernel_size=(3, 3), stride=(1, 1), padding=(1, 1)) + (norm): GroupNorm(8, 128, eps=1e-05, affine=True) + (act): SiLU() + ) + (block2): Block( + (proj): WeightStandardizedConv2d(128, 128, kernel_size=(3, 3), stride=(1, 1), padding=(1, 1)) + (norm): GroupNorm(8, 128, eps=1e-05, affine=True) + (act): SiLU() + ) + (res_conv): Identity() + ) + (1): ResnetBlock( + (mlp): Sequential( + (0): SiLU() + (1): Linear(in_features=512, out_features=256, bias=True) + ) + (block1): Block( + (proj): WeightStandardizedConv2d(128, 128, kernel_size=(3, 3), stride=(1, 1), padding=(1, 1)) + (norm): GroupNorm(8, 128, eps=1e-05, affine=True) + (act): SiLU() + ) + (block2): Block( + (proj): WeightStandardizedConv2d(128, 128, kernel_size=(3, 3), stride=(1, 1), padding=(1, 1)) + (norm): GroupNorm(8, 128, eps=1e-05, affine=True) + (act): SiLU() + ) + (res_conv): Identity() + ) + (2): Residual( + (fn): PreNorm( + (fn): LinearAttention( + (to_qkv): Conv2d(128, 384, kernel_size=(1, 1), stride=(1, 1), bias=False) + (to_out): Sequential( + (0): Conv2d(128, 128, kernel_size=(1, 1), stride=(1, 1)) + (1): LayerNorm() + ) + ) + (norm): LayerNorm() + ) + ) + (3): Conv2d(128, 128, kernel_size=(4, 4), stride=(2, 2), padding=(1, 1)) + ) + (2): ModuleList( + (0): ResnetBlock( + (mlp): Sequential( + (0): SiLU() + (1): Linear(in_features=512, out_features=256, bias=True) + ) + (block1): Block( + (proj): WeightStandardizedConv2d(128, 128, kernel_size=(3, 3), stride=(1, 1), padding=(1, 1)) + (norm): GroupNorm(8, 128, eps=1e-05, affine=True) + (act): SiLU() + ) + (block2): Block( + (proj): WeightStandardizedConv2d(128, 128, kernel_size=(3, 3), stride=(1, 1), padding=(1, 1)) + (norm): GroupNorm(8, 128, eps=1e-05, affine=True) + (act): SiLU() + ) + (res_conv): Identity() + ) + (1): ResnetBlock( + (mlp): Sequential( + (0): SiLU() + (1): Linear(in_features=512, out_features=256, bias=True) + ) + (block1): Block( + (proj): WeightStandardizedConv2d(128, 128, kernel_size=(3, 3), stride=(1, 1), padding=(1, 1)) + (norm): GroupNorm(8, 128, eps=1e-05, affine=True) + (act): SiLU() + ) + (block2): Block( + (proj): WeightStandardizedConv2d(128, 128, kernel_size=(3, 3), stride=(1, 1), padding=(1, 1)) + (norm): GroupNorm(8, 128, eps=1e-05, affine=True) + (act): SiLU() + ) + (res_conv): Identity() + ) + (2): Residual( + (fn): PreNorm( + (fn): LinearAttention( + (to_qkv): Conv2d(128, 384, kernel_size=(1, 1), stride=(1, 1), bias=False) + (to_out): Sequential( + (0): Conv2d(128, 128, kernel_size=(1, 1), stride=(1, 1)) + (1): LayerNorm() + ) + ) + (norm): LayerNorm() + ) + ) + (3): Conv2d(128, 128, kernel_size=(3, 3), stride=(1, 1), padding=(1, 1)) + ) + ) + (ups): ModuleList( + (0): ModuleList( + (0): ResnetBlock( + (mlp): Sequential( + (0): SiLU() + (1): Linear(in_features=512, out_features=256, bias=True) + ) + (block1): Block( + (proj): WeightStandardizedConv2d(256, 128, kernel_size=(3, 3), stride=(1, 1), padding=(1, 1)) + (norm): GroupNorm(8, 128, eps=1e-05, affine=True) + (act): SiLU() + ) + (block2): Block( + (proj): WeightStandardizedConv2d(128, 128, kernel_size=(3, 3), stride=(1, 1), padding=(1, 1)) + (norm): GroupNorm(8, 128, eps=1e-05, affine=True) + (act): SiLU() + ) + (res_conv): Conv2d(256, 128, kernel_size=(1, 1), stride=(1, 1)) + ) + (1): ResnetBlock( + (mlp): Sequential( + (0): SiLU() + (1): Linear(in_features=512, out_features=256, bias=True) + ) + (block1): Block( + (proj): WeightStandardizedConv2d(256, 128, kernel_size=(3, 3), stride=(1, 1), padding=(1, 1)) + (norm): GroupNorm(8, 128, eps=1e-05, affine=True) + (act): SiLU() + ) + (block2): Block( + (proj): WeightStandardizedConv2d(128, 128, kernel_size=(3, 3), stride=(1, 1), padding=(1, 1)) + (norm): GroupNorm(8, 128, eps=1e-05, affine=True) + (act): SiLU() + ) + (res_conv): Conv2d(256, 128, kernel_size=(1, 1), stride=(1, 1)) + ) + (2): Residual( + (fn): PreNorm( + (fn): LinearAttention( + (to_qkv): Conv2d(128, 384, kernel_size=(1, 1), stride=(1, 1), bias=False) + (to_out): Sequential( + (0): Conv2d(128, 128, kernel_size=(1, 1), stride=(1, 1)) + (1): LayerNorm() + ) + ) + (norm): LayerNorm() + ) + ) + (3): Sequential( + (0): Upsample(scale_factor=2.0, mode=nearest) + (1): Conv2d(128, 128, kernel_size=(3, 3), stride=(1, 1), padding=(1, 1)) + ) + ) + (1): ModuleList( + (0): ResnetBlock( + (mlp): Sequential( + (0): SiLU() + (1): Linear(in_features=512, out_features=256, bias=True) + ) + (block1): Block( + (proj): WeightStandardizedConv2d(256, 128, kernel_size=(3, 3), stride=(1, 1), padding=(1, 1)) + (norm): GroupNorm(8, 128, eps=1e-05, affine=True) + (act): SiLU() + ) + (block2): Block( + (proj): WeightStandardizedConv2d(128, 128, kernel_size=(3, 3), stride=(1, 1), padding=(1, 1)) + (norm): GroupNorm(8, 128, eps=1e-05, affine=True) + (act): SiLU() + ) + (res_conv): Conv2d(256, 128, kernel_size=(1, 1), stride=(1, 1)) + ) + (1): ResnetBlock( + (mlp): Sequential( + (0): SiLU() + (1): Linear(in_features=512, out_features=256, bias=True) + ) + (block1): Block( + (proj): WeightStandardizedConv2d(256, 128, kernel_size=(3, 3), stride=(1, 1), padding=(1, 1)) + (norm): GroupNorm(8, 128, eps=1e-05, affine=True) + (act): SiLU() + ) + (block2): Block( + (proj): WeightStandardizedConv2d(128, 128, kernel_size=(3, 3), stride=(1, 1), padding=(1, 1)) + (norm): GroupNorm(8, 128, eps=1e-05, affine=True) + (act): SiLU() + ) + (res_conv): Conv2d(256, 128, kernel_size=(1, 1), stride=(1, 1)) + ) + (2): Residual( + (fn): PreNorm( + (fn): LinearAttention( + (to_qkv): Conv2d(128, 384, kernel_size=(1, 1), stride=(1, 1), bias=False) + (to_out): Sequential( + (0): Conv2d(128, 128, kernel_size=(1, 1), stride=(1, 1)) + (1): LayerNorm() + ) + ) + (norm): LayerNorm() + ) + ) + (3): Sequential( + (0): Upsample(scale_factor=2.0, mode=nearest) + (1): Conv2d(128, 128, kernel_size=(3, 3), stride=(1, 1), padding=(1, 1)) + ) + ) + (2): ModuleList( + (0): ResnetBlock( + (mlp): Sequential( + (0): SiLU() + (1): Linear(in_features=512, out_features=256, bias=True) + ) + (block1): Block( + (proj): WeightStandardizedConv2d(256, 128, kernel_size=(3, 3), stride=(1, 1), padding=(1, 1)) + (norm): GroupNorm(8, 128, eps=1e-05, affine=True) + (act): SiLU() + ) + (block2): Block( + (proj): WeightStandardizedConv2d(128, 128, kernel_size=(3, 3), stride=(1, 1), padding=(1, 1)) + (norm): GroupNorm(8, 128, eps=1e-05, affine=True) + (act): SiLU() + ) + (res_conv): Conv2d(256, 128, kernel_size=(1, 1), stride=(1, 1)) + ) + (1): ResnetBlock( + (mlp): Sequential( + (0): SiLU() + (1): Linear(in_features=512, out_features=256, bias=True) + ) + (block1): Block( + (proj): WeightStandardizedConv2d(256, 128, kernel_size=(3, 3), stride=(1, 1), padding=(1, 1)) + (norm): GroupNorm(8, 128, eps=1e-05, affine=True) + (act): SiLU() + ) + (block2): Block( + (proj): WeightStandardizedConv2d(128, 128, kernel_size=(3, 3), stride=(1, 1), padding=(1, 1)) + (norm): GroupNorm(8, 128, eps=1e-05, affine=True) + (act): SiLU() + ) + (res_conv): Conv2d(256, 128, kernel_size=(1, 1), stride=(1, 1)) + ) + (2): Residual( + (fn): PreNorm( + (fn): LinearAttention( + (to_qkv): Conv2d(128, 384, kernel_size=(1, 1), stride=(1, 1), bias=False) + (to_out): Sequential( + (0): Conv2d(128, 128, kernel_size=(1, 1), stride=(1, 1)) + (1): LayerNorm() + ) + ) + (norm): LayerNorm() + ) + ) + (3): Conv2d(128, 128, kernel_size=(3, 3), stride=(1, 1), padding=(1, 1)) + ) + ) + (mid_block1): ResnetBlock( + (mlp): Sequential( + (0): SiLU() + (1): Linear(in_features=512, out_features=256, bias=True) + ) + (block1): Block( + (proj): WeightStandardizedConv2d(128, 128, kernel_size=(3, 3), stride=(1, 1), padding=(1, 1)) + (norm): GroupNorm(8, 128, eps=1e-05, affine=True) + (act): SiLU() + ) + (block2): Block( + (proj): WeightStandardizedConv2d(128, 128, kernel_size=(3, 3), stride=(1, 1), padding=(1, 1)) + (norm): GroupNorm(8, 128, eps=1e-05, affine=True) + (act): SiLU() + ) + (res_conv): Identity() + ) + (mid_attn): Residual( + (fn): PreNorm( + (fn): Attention( + (to_qkv): Conv2d(128, 384, kernel_size=(1, 1), stride=(1, 1), bias=False) + (to_out): Conv2d(128, 128, kernel_size=(1, 1), stride=(1, 1)) + ) + (norm): LayerNorm() + ) + ) + (mid_block2): ResnetBlock( + (mlp): Sequential( + (0): SiLU() + (1): Linear(in_features=512, out_features=256, bias=True) + ) + (block1): Block( + (proj): WeightStandardizedConv2d(128, 128, kernel_size=(3, 3), stride=(1, 1), padding=(1, 1)) + (norm): GroupNorm(8, 128, eps=1e-05, affine=True) + (act): SiLU() + ) + (block2): Block( + (proj): WeightStandardizedConv2d(128, 128, kernel_size=(3, 3), stride=(1, 1), padding=(1, 1)) + (norm): GroupNorm(8, 128, eps=1e-05, affine=True) + (act): SiLU() + ) + (res_conv): Identity() + ) + (final_res_block): ResnetBlock( + (mlp): Sequential( + (0): SiLU() + (1): Linear(in_features=512, out_features=256, bias=True) + ) + (block1): Block( + (proj): WeightStandardizedConv2d(256, 128, kernel_size=(3, 3), stride=(1, 1), padding=(1, 1)) + (norm): GroupNorm(8, 128, eps=1e-05, affine=True) + (act): SiLU() + ) + (block2): Block( + (proj): WeightStandardizedConv2d(128, 128, kernel_size=(3, 3), stride=(1, 1), padding=(1, 1)) + (norm): GroupNorm(8, 128, eps=1e-05, affine=True) + (act): SiLU() + ) + (res_conv): Conv2d(256, 128, kernel_size=(1, 1), stride=(1, 1)) + ) + (final_conv): Conv2d(128, 256, kernel_size=(1, 1), stride=(1, 1)) + ) + (conv_seg_new): Conv2d(256, 151, kernel_size=(1, 1), stride=(1, 1)) + (embed): Embedding(151, 16) + ) + init_cfg={'type': 'Pretrained', 'checkpoint': 'pretrained/segformer_mit-b2_512x512_160k_ade20k_20220620_114047-64e4feca.pth'} +) +2023-03-04 21:12:35,752 - mmseg - INFO - Loaded 20210 images +2023-03-04 21:12:36,822 - mmseg - INFO - Loaded 2000 images +2023-03-04 21:12:36,823 - mmseg - INFO - load checkpoint from local path: ./work_dirs2/ablation_segformer_mit_b2_segformer_head_unet_fc_single_step_ade_pretrained_freeze_embed_80k_ade20k151_logits/latest.pth +2023-03-04 21:12:37,482 - mmseg - INFO - resumed from epoch: 13, iter 7999 +2023-03-04 21:12:37,483 - mmseg - INFO - Start running, host: laizeqiang@SH-IDC1-10-140-37-143, work_dir: /mnt/petrelfs/laizeqiang/mmseg-baseline/work_dirs2/ablation_segformer_mit_b2_segformer_head_unet_fc_single_step_ade_pretrained_freeze_embed_80k_ade20k151_logits +2023-03-04 21:12:37,484 - mmseg - INFO - Hooks will be executed in the following order: +before_run: +(VERY_HIGH ) StepLrUpdaterHook +(NORMAL ) CheckpointHook +(LOW ) DistEvalHook +(VERY_LOW ) TextLoggerHook + -------------------- +before_train_epoch: +(VERY_HIGH ) StepLrUpdaterHook +(LOW ) IterTimerHook +(LOW ) DistEvalHook +(VERY_LOW ) TextLoggerHook + -------------------- +before_train_iter: +(VERY_HIGH ) StepLrUpdaterHook +(LOW ) IterTimerHook +(LOW ) DistEvalHook + -------------------- +after_train_iter: +(ABOVE_NORMAL) OptimizerHook +(NORMAL ) CheckpointHook +(LOW ) IterTimerHook +(LOW ) DistEvalHook +(VERY_LOW ) TextLoggerHook + -------------------- +after_train_epoch: +(NORMAL ) CheckpointHook +(LOW ) DistEvalHook +(VERY_LOW ) TextLoggerHook + -------------------- +before_val_epoch: +(LOW ) IterTimerHook +(VERY_LOW ) TextLoggerHook + -------------------- +before_val_iter: +(LOW ) IterTimerHook + -------------------- +after_val_iter: +(LOW ) IterTimerHook + -------------------- +after_val_epoch: +(VERY_LOW ) TextLoggerHook + -------------------- +after_run: +(VERY_LOW ) TextLoggerHook + -------------------- +2023-03-04 21:12:37,484 - mmseg - INFO - workflow: [('train', 1)], max: 80000 iters +2023-03-04 21:12:37,484 - mmseg - INFO - Checkpoints will be saved to /mnt/petrelfs/laizeqiang/mmseg-baseline/work_dirs2/ablation_segformer_mit_b2_segformer_head_unet_fc_single_step_ade_pretrained_freeze_embed_80k_ade20k151_logits by HardDiskBackend. +2023-03-04 21:13:09,427 - mmseg - INFO - Saving checkpoint at 8000 iterations +2023-03-04 21:13:10,074 - mmseg - INFO - Exp name: ablation_segformer_mit_b2_segformer_head_unet_fc_single_step_ade_pretrained_freeze_embed_80k_ade20k151_logits.py +2023-03-04 21:13:10,075 - mmseg - INFO - Iter [8000/80000] lr: 1.500e-04, eta: 272 days, 4:02:38, time: 6.532, data_time: 0.475, memory: 19833, decode.loss_ce: 0.3976, decode.acc_seg: 85.8395, loss: 0.3976 +2023-03-04 21:16:54,685 - mmseg - INFO - per class results: +2023-03-04 21:16:54,691 - mmseg - INFO - ++---------------------+-------+-------+ +| Class | IoU | Acc | ++---------------------+-------+-------+ +| background | nan | nan | +| wall | 74.83 | 85.97 | +| building | 77.77 | 93.78 | +| sky | 93.63 | 96.58 | +| floor | 79.77 | 89.5 | +| tree | 67.49 | 79.16 | +| ceiling | 81.2 | 93.02 | +| road | 79.2 | 85.18 | +| bed | 85.61 | 93.84 | +| windowpane | 58.48 | 73.7 | +| grass | 61.25 | 68.61 | +| cabinet | 55.95 | 63.86 | +| sidewalk | 58.07 | 83.18 | +| person | 73.5 | 93.2 | +| earth | 34.75 | 47.6 | +| door | 39.73 | 48.78 | +| table | 52.65 | 78.69 | +| mountain | 55.07 | 67.36 | +| plant | 47.89 | 58.52 | +| curtain | 71.05 | 83.03 | +| chair | 50.16 | 67.9 | +| car | 75.35 | 93.55 | +| water | 55.94 | 73.54 | +| painting | 67.36 | 83.94 | +| sofa | 59.65 | 70.43 | +| shelf | 39.74 | 76.4 | +| house | 41.92 | 61.72 | +| sea | 59.4 | 76.16 | +| mirror | 60.83 | 77.74 | +| rug | 60.8 | 73.66 | +| field | 27.3 | 45.1 | +| armchair | 36.0 | 60.34 | +| seat | 62.78 | 83.27 | +| fence | 24.38 | 26.57 | +| desk | 42.04 | 65.61 | +| rock | 35.8 | 58.81 | +| wardrobe | 52.3 | 77.16 | +| lamp | 49.04 | 81.65 | +| bathtub | 61.96 | 64.58 | +| railing | 23.39 | 24.44 | +| cushion | 50.35 | 66.19 | +| base | 18.98 | 22.95 | +| box | 16.72 | 22.21 | +| column | 42.36 | 55.04 | +| signboard | 32.95 | 39.27 | +| chest of drawers | 36.2 | 47.64 | +| counter | 22.66 | 25.74 | +| sand | 39.19 | 65.82 | +| sink | 60.89 | 76.98 | +| skyscraper | 47.41 | 65.55 | +| fireplace | 69.71 | 82.62 | +| refrigerator | 70.05 | 79.97 | +| grandstand | 47.0 | 59.61 | +| path | 17.19 | 27.09 | +| stairs | 14.19 | 14.94 | +| runway | 66.41 | 88.41 | +| case | 51.99 | 67.67 | +| pool table | 88.81 | 91.7 | +| pillow | 51.19 | 59.68 | +| screen door | 53.77 | 55.34 | +| stairway | 21.69 | 35.54 | +| river | 10.33 | 19.12 | +| bridge | 24.52 | 26.33 | +| bookcase | 37.78 | 44.04 | +| blind | 34.38 | 37.82 | +| coffee table | 51.25 | 76.73 | +| toilet | 76.06 | 90.25 | +| flower | 32.78 | 46.56 | +| book | 43.13 | 59.06 | +| hill | 13.46 | 21.31 | +| bench | 38.33 | 47.6 | +| countertop | 49.16 | 59.6 | +| stove | 67.62 | 84.92 | +| palm | 47.42 | 74.35 | +| kitchen island | 34.0 | 48.49 | +| computer | 56.35 | 71.13 | +| swivel chair | 36.06 | 46.94 | +| boat | 62.8 | 84.53 | +| bar | 23.61 | 32.57 | +| arcade machine | 65.06 | 95.42 | +| hovel | 20.42 | 22.63 | +| bus | 75.67 | 82.36 | +| towel | 58.28 | 66.95 | +| light | 37.98 | 44.34 | +| truck | 14.38 | 17.91 | +| tower | 10.04 | 16.58 | +| chandelier | 55.22 | 80.76 | +| awning | 13.79 | 14.98 | +| streetlight | 18.04 | 23.22 | +| booth | 43.96 | 55.17 | +| television receiver | 62.41 | 78.74 | +| airplane | 54.8 | 63.61 | +| dirt track | 10.99 | 33.67 | +| apparel | 28.12 | 58.02 | +| pole | 11.95 | 15.72 | +| land | 2.81 | 4.09 | +| bannister | 4.18 | 4.83 | +| escalator | 20.23 | 22.12 | +| ottoman | 35.75 | 63.84 | +| bottle | 24.73 | 35.25 | +| buffet | 43.51 | 49.35 | +| poster | 20.96 | 26.44 | +| stage | 13.26 | 19.8 | +| van | 30.71 | 36.45 | +| ship | 76.13 | 85.15 | +| fountain | 6.64 | 6.75 | +| conveyer belt | 81.65 | 86.12 | +| canopy | 22.37 | 28.0 | +| washer | 81.41 | 85.26 | +| plaything | 18.51 | 38.11 | +| swimming pool | 71.65 | 80.49 | +| stool | 32.55 | 54.8 | +| barrel | 24.59 | 45.67 | +| basket | 20.24 | 41.61 | +| waterfall | 50.1 | 64.36 | +| tent | 94.09 | 97.92 | +| bag | 8.9 | 9.58 | +| minibike | 54.59 | 81.84 | +| cradle | 79.96 | 88.17 | +| oven | 40.96 | 61.46 | +| ball | 38.52 | 60.0 | +| food | 36.86 | 52.66 | +| step | 4.94 | 5.66 | +| tank | 49.27 | 54.14 | +| trade name | 16.39 | 16.96 | +| microwave | 71.89 | 84.75 | +| pot | 30.55 | 42.3 | +| animal | 47.84 | 65.29 | +| bicycle | 36.9 | 52.91 | +| lake | 56.28 | 61.52 | +| dishwasher | 60.81 | 69.48 | +| screen | 58.49 | 64.75 | +| blanket | 13.24 | 14.62 | +| sculpture | 42.28 | 78.65 | +| hood | 44.18 | 71.23 | +| sconce | 22.76 | 25.18 | +| vase | 26.66 | 34.3 | +| traffic light | 23.04 | 30.58 | +| tray | 1.17 | 1.41 | +| ashcan | 30.79 | 38.39 | +| fan | 48.04 | 71.72 | +| pier | 24.42 | 77.96 | +| crt screen | 8.86 | 29.36 | +| plate | 27.39 | 78.99 | +| monitor | 7.61 | 8.99 | +| bulletin board | 41.51 | 56.58 | +| shower | 0.29 | 1.38 | +| radiator | 35.54 | 36.98 | +| glass | 2.59 | 2.73 | +| clock | 24.31 | 28.24 | +| flag | 25.15 | 26.03 | ++---------------------+-------+-------+ +2023-03-04 21:16:54,692 - mmseg - INFO - Summary: +2023-03-04 21:16:54,692 - mmseg - INFO - ++-------+-------+-------+ +| aAcc | mIoU | mAcc | ++-------+-------+-------+ +| 80.16 | 42.62 | 55.19 | ++-------+-------+-------+ +2023-03-04 21:16:55,343 - mmseg - INFO - Now best checkpoint is saved as best_mIoU_iter_8000.pth. +2023-03-04 21:16:55,343 - mmseg - INFO - Best mIoU is 0.4262 at 8000 iter. +2023-03-04 21:16:55,343 - mmseg - INFO - Exp name: ablation_segformer_mit_b2_segformer_head_unet_fc_single_step_ade_pretrained_freeze_embed_80k_ade20k151_logits.py +2023-03-04 21:16:55,344 - mmseg - INFO - Iter(val) [250] aAcc: 0.8016, mIoU: 0.4262, mAcc: 0.5519, IoU.background: nan, IoU.wall: 0.7483, IoU.building: 0.7777, IoU.sky: 0.9363, IoU.floor: 0.7977, IoU.tree: 0.6749, IoU.ceiling: 0.8120, IoU.road: 0.7920, IoU.bed : 0.8561, IoU.windowpane: 0.5848, IoU.grass: 0.6125, IoU.cabinet: 0.5595, IoU.sidewalk: 0.5807, IoU.person: 0.7350, IoU.earth: 0.3475, IoU.door: 0.3973, IoU.table: 0.5265, IoU.mountain: 0.5507, IoU.plant: 0.4789, IoU.curtain: 0.7105, IoU.chair: 0.5016, IoU.car: 0.7535, IoU.water: 0.5594, IoU.painting: 0.6736, IoU.sofa: 0.5965, IoU.shelf: 0.3974, IoU.house: 0.4192, IoU.sea: 0.5940, IoU.mirror: 0.6083, IoU.rug: 0.6080, IoU.field: 0.2730, IoU.armchair: 0.3600, IoU.seat: 0.6278, IoU.fence: 0.2438, IoU.desk: 0.4204, IoU.rock: 0.3580, IoU.wardrobe: 0.5230, IoU.lamp: 0.4904, IoU.bathtub: 0.6196, IoU.railing: 0.2339, IoU.cushion: 0.5035, IoU.base: 0.1898, IoU.box: 0.1672, IoU.column: 0.4236, IoU.signboard: 0.3295, IoU.chest of drawers: 0.3620, IoU.counter: 0.2266, IoU.sand: 0.3919, IoU.sink: 0.6089, IoU.skyscraper: 0.4741, IoU.fireplace: 0.6971, IoU.refrigerator: 0.7005, IoU.grandstand: 0.4700, IoU.path: 0.1719, IoU.stairs: 0.1419, IoU.runway: 0.6641, IoU.case: 0.5199, IoU.pool table: 0.8881, IoU.pillow: 0.5119, IoU.screen door: 0.5377, IoU.stairway: 0.2169, IoU.river: 0.1033, IoU.bridge: 0.2452, IoU.bookcase: 0.3778, IoU.blind: 0.3438, IoU.coffee table: 0.5125, IoU.toilet: 0.7606, IoU.flower: 0.3278, IoU.book: 0.4313, IoU.hill: 0.1346, IoU.bench: 0.3833, IoU.countertop: 0.4916, IoU.stove: 0.6762, IoU.palm: 0.4742, IoU.kitchen island: 0.3400, IoU.computer: 0.5635, IoU.swivel chair: 0.3606, IoU.boat: 0.6280, IoU.bar: 0.2361, IoU.arcade machine: 0.6506, IoU.hovel: 0.2042, IoU.bus: 0.7567, IoU.towel: 0.5828, IoU.light: 0.3798, IoU.truck: 0.1438, IoU.tower: 0.1004, IoU.chandelier: 0.5522, IoU.awning: 0.1379, IoU.streetlight: 0.1804, IoU.booth: 0.4396, IoU.television receiver: 0.6241, IoU.airplane: 0.5480, IoU.dirt track: 0.1099, IoU.apparel: 0.2812, IoU.pole: 0.1195, IoU.land: 0.0281, IoU.bannister: 0.0418, IoU.escalator: 0.2023, IoU.ottoman: 0.3575, IoU.bottle: 0.2473, IoU.buffet: 0.4351, IoU.poster: 0.2096, IoU.stage: 0.1326, IoU.van: 0.3071, IoU.ship: 0.7613, IoU.fountain: 0.0664, IoU.conveyer belt: 0.8165, IoU.canopy: 0.2237, IoU.washer: 0.8141, IoU.plaything: 0.1851, IoU.swimming pool: 0.7165, IoU.stool: 0.3255, IoU.barrel: 0.2459, IoU.basket: 0.2024, IoU.waterfall: 0.5010, IoU.tent: 0.9409, IoU.bag: 0.0890, IoU.minibike: 0.5459, IoU.cradle: 0.7996, IoU.oven: 0.4096, IoU.ball: 0.3852, IoU.food: 0.3686, IoU.step: 0.0494, IoU.tank: 0.4927, IoU.trade name: 0.1639, IoU.microwave: 0.7189, IoU.pot: 0.3055, IoU.animal: 0.4784, IoU.bicycle: 0.3690, IoU.lake: 0.5628, IoU.dishwasher: 0.6081, IoU.screen: 0.5849, IoU.blanket: 0.1324, IoU.sculpture: 0.4228, IoU.hood: 0.4418, IoU.sconce: 0.2276, IoU.vase: 0.2666, IoU.traffic light: 0.2304, IoU.tray: 0.0117, IoU.ashcan: 0.3079, IoU.fan: 0.4804, IoU.pier: 0.2442, IoU.crt screen: 0.0886, IoU.plate: 0.2739, IoU.monitor: 0.0761, IoU.bulletin board: 0.4151, IoU.shower: 0.0029, IoU.radiator: 0.3554, IoU.glass: 0.0259, IoU.clock: 0.2431, IoU.flag: 0.2515, Acc.background: nan, Acc.wall: 0.8597, Acc.building: 0.9378, Acc.sky: 0.9658, Acc.floor: 0.8950, Acc.tree: 0.7916, Acc.ceiling: 0.9302, Acc.road: 0.8518, Acc.bed : 0.9384, Acc.windowpane: 0.7370, Acc.grass: 0.6861, Acc.cabinet: 0.6386, Acc.sidewalk: 0.8318, Acc.person: 0.9320, Acc.earth: 0.4760, Acc.door: 0.4878, Acc.table: 0.7869, Acc.mountain: 0.6736, Acc.plant: 0.5852, Acc.curtain: 0.8303, Acc.chair: 0.6790, Acc.car: 0.9355, Acc.water: 0.7354, Acc.painting: 0.8394, Acc.sofa: 0.7043, Acc.shelf: 0.7640, Acc.house: 0.6172, Acc.sea: 0.7616, Acc.mirror: 0.7774, Acc.rug: 0.7366, Acc.field: 0.4510, Acc.armchair: 0.6034, Acc.seat: 0.8327, Acc.fence: 0.2657, Acc.desk: 0.6561, Acc.rock: 0.5881, Acc.wardrobe: 0.7716, Acc.lamp: 0.8165, Acc.bathtub: 0.6458, Acc.railing: 0.2444, Acc.cushion: 0.6619, Acc.base: 0.2295, Acc.box: 0.2221, Acc.column: 0.5504, Acc.signboard: 0.3927, Acc.chest of drawers: 0.4764, Acc.counter: 0.2574, Acc.sand: 0.6582, Acc.sink: 0.7698, Acc.skyscraper: 0.6555, Acc.fireplace: 0.8262, Acc.refrigerator: 0.7997, Acc.grandstand: 0.5961, Acc.path: 0.2709, Acc.stairs: 0.1494, Acc.runway: 0.8841, Acc.case: 0.6767, Acc.pool table: 0.9170, Acc.pillow: 0.5968, Acc.screen door: 0.5534, Acc.stairway: 0.3554, Acc.river: 0.1912, Acc.bridge: 0.2633, Acc.bookcase: 0.4404, Acc.blind: 0.3782, Acc.coffee table: 0.7673, Acc.toilet: 0.9025, Acc.flower: 0.4656, Acc.book: 0.5906, Acc.hill: 0.2131, Acc.bench: 0.4760, Acc.countertop: 0.5960, Acc.stove: 0.8492, Acc.palm: 0.7435, Acc.kitchen island: 0.4849, Acc.computer: 0.7113, Acc.swivel chair: 0.4694, Acc.boat: 0.8453, Acc.bar: 0.3257, Acc.arcade machine: 0.9542, Acc.hovel: 0.2263, Acc.bus: 0.8236, Acc.towel: 0.6695, Acc.light: 0.4434, Acc.truck: 0.1791, Acc.tower: 0.1658, Acc.chandelier: 0.8076, Acc.awning: 0.1498, Acc.streetlight: 0.2322, Acc.booth: 0.5517, Acc.television receiver: 0.7874, Acc.airplane: 0.6361, Acc.dirt track: 0.3367, Acc.apparel: 0.5802, Acc.pole: 0.1572, Acc.land: 0.0409, Acc.bannister: 0.0483, Acc.escalator: 0.2212, Acc.ottoman: 0.6384, Acc.bottle: 0.3525, Acc.buffet: 0.4935, Acc.poster: 0.2644, Acc.stage: 0.1980, Acc.van: 0.3645, Acc.ship: 0.8515, Acc.fountain: 0.0675, Acc.conveyer belt: 0.8612, Acc.canopy: 0.2800, Acc.washer: 0.8526, Acc.plaything: 0.3811, Acc.swimming pool: 0.8049, Acc.stool: 0.5480, Acc.barrel: 0.4567, Acc.basket: 0.4161, Acc.waterfall: 0.6436, Acc.tent: 0.9792, Acc.bag: 0.0958, Acc.minibike: 0.8184, Acc.cradle: 0.8817, Acc.oven: 0.6146, Acc.ball: 0.6000, Acc.food: 0.5266, Acc.step: 0.0566, Acc.tank: 0.5414, Acc.trade name: 0.1696, Acc.microwave: 0.8475, Acc.pot: 0.4230, Acc.animal: 0.6529, Acc.bicycle: 0.5291, Acc.lake: 0.6152, Acc.dishwasher: 0.6948, Acc.screen: 0.6475, Acc.blanket: 0.1462, Acc.sculpture: 0.7865, Acc.hood: 0.7123, Acc.sconce: 0.2518, Acc.vase: 0.3430, Acc.traffic light: 0.3058, Acc.tray: 0.0141, Acc.ashcan: 0.3839, Acc.fan: 0.7172, Acc.pier: 0.7796, Acc.crt screen: 0.2936, Acc.plate: 0.7899, Acc.monitor: 0.0899, Acc.bulletin board: 0.5658, Acc.shower: 0.0138, Acc.radiator: 0.3698, Acc.glass: 0.0273, Acc.clock: 0.2824, Acc.flag: 0.2603 +2023-03-04 21:17:05,047 - mmseg - INFO - Iter [8050/80000] lr: 1.500e-04, eta: 9 days, 4:04:20, time: 4.699, data_time: 4.512, memory: 52390, decode.loss_ce: 0.2807, decode.acc_seg: 89.1072, loss: 0.2807 +2023-03-04 21:17:13,940 - mmseg - INFO - Iter [8100/80000] lr: 1.500e-04, eta: 4 days, 16:48:23, time: 0.178, data_time: 0.007, memory: 52390, decode.loss_ce: 0.2809, decode.acc_seg: 89.0361, loss: 0.2809 +2023-03-04 21:17:23,321 - mmseg - INFO - Iter [8150/80000] lr: 1.500e-04, eta: 3 days, 4:38:21, time: 0.187, data_time: 0.006, memory: 52390, decode.loss_ce: 0.2906, decode.acc_seg: 88.7049, loss: 0.2906 +2023-03-04 21:17:32,350 - mmseg - INFO - Iter [8200/80000] lr: 1.500e-04, eta: 2 days, 10:25:54, time: 0.181, data_time: 0.006, memory: 52390, decode.loss_ce: 0.2889, decode.acc_seg: 88.4757, loss: 0.2889 +2023-03-04 21:17:41,069 - mmseg - INFO - Iter [8250/80000] lr: 1.500e-04, eta: 1 day, 23:27:06, time: 0.174, data_time: 0.006, memory: 52390, decode.loss_ce: 0.2741, decode.acc_seg: 89.1700, loss: 0.2741 +2023-03-04 21:17:49,794 - mmseg - INFO - Iter [8300/80000] lr: 1.500e-04, eta: 1 day, 16:07:08, time: 0.174, data_time: 0.006, memory: 52390, decode.loss_ce: 0.2810, decode.acc_seg: 88.8051, loss: 0.2810 +2023-03-04 21:17:58,809 - mmseg - INFO - Iter [8350/80000] lr: 1.500e-04, eta: 1 day, 10:53:28, time: 0.180, data_time: 0.006, memory: 52390, decode.loss_ce: 0.2762, decode.acc_seg: 89.1290, loss: 0.2762 +2023-03-04 21:18:07,537 - mmseg - INFO - Iter [8400/80000] lr: 1.500e-04, eta: 1 day, 6:57:08, time: 0.175, data_time: 0.006, memory: 52390, decode.loss_ce: 0.2719, decode.acc_seg: 89.2059, loss: 0.2719 +2023-03-04 21:18:16,520 - mmseg - INFO - Iter [8450/80000] lr: 1.500e-04, eta: 1 day, 3:53:50, time: 0.180, data_time: 0.006, memory: 52390, decode.loss_ce: 0.2908, decode.acc_seg: 88.7177, loss: 0.2908 +2023-03-04 21:18:25,143 - mmseg - INFO - Iter [8500/80000] lr: 1.500e-04, eta: 1 day, 1:26:15, time: 0.172, data_time: 0.006, memory: 52390, decode.loss_ce: 0.2867, decode.acc_seg: 88.6489, loss: 0.2867 +2023-03-04 21:18:34,629 - mmseg - INFO - Iter [8550/80000] lr: 1.500e-04, eta: 23:27:17, time: 0.190, data_time: 0.006, memory: 52390, decode.loss_ce: 0.3005, decode.acc_seg: 88.2068, loss: 0.3005 +2023-03-04 21:18:43,811 - mmseg - INFO - Iter [8600/80000] lr: 1.500e-04, eta: 21:47:27, time: 0.183, data_time: 0.006, memory: 52390, decode.loss_ce: 0.2836, decode.acc_seg: 88.8064, loss: 0.2836 +2023-03-04 21:18:55,225 - mmseg - INFO - Iter [8650/80000] lr: 1.500e-04, eta: 20:27:03, time: 0.229, data_time: 0.054, memory: 52390, decode.loss_ce: 0.2848, decode.acc_seg: 88.9089, loss: 0.2848 +2023-03-04 21:19:04,210 - mmseg - INFO - Iter [8700/80000] lr: 1.500e-04, eta: 19:13:57, time: 0.179, data_time: 0.006, memory: 52390, decode.loss_ce: 0.2806, decode.acc_seg: 88.8507, loss: 0.2806 +2023-03-04 21:19:12,873 - mmseg - INFO - Iter [8750/80000] lr: 1.500e-04, eta: 18:10:04, time: 0.173, data_time: 0.007, memory: 52390, decode.loss_ce: 0.2675, decode.acc_seg: 89.5451, loss: 0.2675 +2023-03-04 21:19:21,601 - mmseg - INFO - Iter [8800/80000] lr: 1.500e-04, eta: 17:14:15, time: 0.175, data_time: 0.007, memory: 52390, decode.loss_ce: 0.2999, decode.acc_seg: 88.1176, loss: 0.2999 +2023-03-04 21:19:30,201 - mmseg - INFO - Iter [8850/80000] lr: 1.500e-04, eta: 16:24:47, time: 0.172, data_time: 0.006, memory: 52390, decode.loss_ce: 0.2929, decode.acc_seg: 88.5527, loss: 0.2929 +2023-03-04 21:19:38,931 - mmseg - INFO - Iter [8900/80000] lr: 1.500e-04, eta: 15:40:57, time: 0.175, data_time: 0.007, memory: 52390, decode.loss_ce: 0.2920, decode.acc_seg: 88.3922, loss: 0.2920 +2023-03-04 21:19:47,590 - mmseg - INFO - Iter [8950/80000] lr: 1.500e-04, eta: 15:01:38, time: 0.173, data_time: 0.006, memory: 52390, decode.loss_ce: 0.2830, decode.acc_seg: 88.8432, loss: 0.2830 +2023-03-04 21:19:56,359 - mmseg - INFO - Exp name: ablation_segformer_mit_b2_segformer_head_unet_fc_single_step_ade_pretrained_freeze_embed_80k_ade20k151_logits.py +2023-03-04 21:19:56,359 - mmseg - INFO - Iter [9000/80000] lr: 1.500e-04, eta: 14:26:21, time: 0.175, data_time: 0.006, memory: 52390, decode.loss_ce: 0.2888, decode.acc_seg: 88.6539, loss: 0.2888 +2023-03-04 21:20:05,884 - mmseg - INFO - Iter [9050/80000] lr: 1.500e-04, eta: 13:55:17, time: 0.191, data_time: 0.006, memory: 52390, decode.loss_ce: 0.2719, decode.acc_seg: 89.1343, loss: 0.2719 +2023-03-04 21:20:15,205 - mmseg - INFO - Iter [9100/80000] lr: 1.500e-04, eta: 13:26:48, time: 0.186, data_time: 0.007, memory: 52390, decode.loss_ce: 0.2806, decode.acc_seg: 89.0121, loss: 0.2806 +2023-03-04 21:20:24,079 - mmseg - INFO - Iter [9150/80000] lr: 1.500e-04, eta: 13:00:17, time: 0.177, data_time: 0.006, memory: 52390, decode.loss_ce: 0.2733, decode.acc_seg: 89.1222, loss: 0.2733 +2023-03-04 21:20:33,030 - mmseg - INFO - Iter [9200/80000] lr: 1.500e-04, eta: 12:36:05, time: 0.179, data_time: 0.006, memory: 52390, decode.loss_ce: 0.2883, decode.acc_seg: 88.7369, loss: 0.2883 +2023-03-04 21:20:42,179 - mmseg - INFO - Iter [9250/80000] lr: 1.500e-04, eta: 12:13:59, time: 0.183, data_time: 0.006, memory: 52390, decode.loss_ce: 0.2724, decode.acc_seg: 89.2535, loss: 0.2724 +2023-03-04 21:20:53,646 - mmseg - INFO - Iter [9300/80000] lr: 1.500e-04, eta: 11:55:39, time: 0.229, data_time: 0.053, memory: 52390, decode.loss_ce: 0.2796, decode.acc_seg: 89.0421, loss: 0.2796 +2023-03-04 21:21:02,231 - mmseg - INFO - Iter [9350/80000] lr: 1.500e-04, eta: 11:36:10, time: 0.172, data_time: 0.006, memory: 52390, decode.loss_ce: 0.3059, decode.acc_seg: 87.9949, loss: 0.3059 +2023-03-04 21:21:11,683 - mmseg - INFO - Iter [9400/80000] lr: 1.500e-04, eta: 11:18:46, time: 0.189, data_time: 0.007, memory: 52390, decode.loss_ce: 0.2713, decode.acc_seg: 89.1700, loss: 0.2713 +2023-03-04 21:21:20,255 - mmseg - INFO - Iter [9450/80000] lr: 1.500e-04, eta: 11:01:52, time: 0.171, data_time: 0.006, memory: 52390, decode.loss_ce: 0.2793, decode.acc_seg: 88.9274, loss: 0.2793 +2023-03-04 21:21:29,017 - mmseg - INFO - Iter [9500/80000] lr: 1.500e-04, eta: 10:46:14, time: 0.175, data_time: 0.006, memory: 52390, decode.loss_ce: 0.2768, decode.acc_seg: 89.1274, loss: 0.2768 +2023-03-04 21:21:38,127 - mmseg - INFO - Iter [9550/80000] lr: 1.500e-04, eta: 10:31:51, time: 0.182, data_time: 0.006, memory: 52390, decode.loss_ce: 0.2801, decode.acc_seg: 88.7214, loss: 0.2801 +2023-03-04 21:21:47,205 - mmseg - INFO - Iter [9600/80000] lr: 1.500e-04, eta: 10:18:20, time: 0.181, data_time: 0.006, memory: 52390, decode.loss_ce: 0.2833, decode.acc_seg: 88.7062, loss: 0.2833 +2023-03-04 21:21:56,086 - mmseg - INFO - Iter [9650/80000] lr: 1.500e-04, eta: 10:05:29, time: 0.178, data_time: 0.006, memory: 52390, decode.loss_ce: 0.2737, decode.acc_seg: 89.1313, loss: 0.2737 +2023-03-04 21:22:04,844 - mmseg - INFO - Iter [9700/80000] lr: 1.500e-04, eta: 9:53:18, time: 0.175, data_time: 0.006, memory: 52390, decode.loss_ce: 0.2808, decode.acc_seg: 88.9108, loss: 0.2808 +2023-03-04 21:22:13,518 - mmseg - INFO - Iter [9750/80000] lr: 1.500e-04, eta: 9:41:45, time: 0.173, data_time: 0.006, memory: 52390, decode.loss_ce: 0.2829, decode.acc_seg: 88.7986, loss: 0.2829 +2023-03-04 21:22:22,785 - mmseg - INFO - Iter [9800/80000] lr: 1.500e-04, eta: 9:31:13, time: 0.185, data_time: 0.006, memory: 52390, decode.loss_ce: 0.2585, decode.acc_seg: 89.7189, loss: 0.2585 +2023-03-04 21:22:32,190 - mmseg - INFO - Iter [9850/80000] lr: 1.500e-04, eta: 9:21:20, time: 0.188, data_time: 0.006, memory: 52390, decode.loss_ce: 0.2647, decode.acc_seg: 89.4993, loss: 0.2647 +2023-03-04 21:22:43,849 - mmseg - INFO - Iter [9900/80000] lr: 1.500e-04, eta: 9:13:20, time: 0.233, data_time: 0.052, memory: 52390, decode.loss_ce: 0.2857, decode.acc_seg: 88.9626, loss: 0.2857 +2023-03-04 21:22:53,220 - mmseg - INFO - Iter [9950/80000] lr: 1.500e-04, eta: 9:04:23, time: 0.188, data_time: 0.007, memory: 52390, decode.loss_ce: 0.2690, decode.acc_seg: 89.2528, loss: 0.2690 +2023-03-04 21:23:02,443 - mmseg - INFO - Exp name: ablation_segformer_mit_b2_segformer_head_unet_fc_single_step_ade_pretrained_freeze_embed_80k_ade20k151_logits.py +2023-03-04 21:23:02,443 - mmseg - INFO - Iter [10000/80000] lr: 1.500e-04, eta: 8:55:46, time: 0.184, data_time: 0.006, memory: 52390, decode.loss_ce: 0.2717, decode.acc_seg: 89.3573, loss: 0.2717 +2023-03-04 21:23:11,510 - mmseg - INFO - Iter [10050/80000] lr: 7.500e-05, eta: 8:47:30, time: 0.182, data_time: 0.006, memory: 52390, decode.loss_ce: 0.2685, decode.acc_seg: 89.3855, loss: 0.2685 +2023-03-04 21:23:20,208 - mmseg - INFO - Iter [10100/80000] lr: 7.500e-05, eta: 8:39:24, time: 0.174, data_time: 0.006, memory: 52390, decode.loss_ce: 0.2546, decode.acc_seg: 89.7670, loss: 0.2546 +2023-03-04 21:23:28,940 - mmseg - INFO - Iter [10150/80000] lr: 7.500e-05, eta: 8:31:41, time: 0.175, data_time: 0.006, memory: 52390, decode.loss_ce: 0.2637, decode.acc_seg: 89.6583, loss: 0.2637 +2023-03-04 21:23:37,570 - mmseg - INFO - Iter [10200/80000] lr: 7.500e-05, eta: 8:24:16, time: 0.173, data_time: 0.006, memory: 52390, decode.loss_ce: 0.2543, decode.acc_seg: 89.6032, loss: 0.2543 +2023-03-04 21:23:46,261 - mmseg - INFO - Iter [10250/80000] lr: 7.500e-05, eta: 8:17:12, time: 0.174, data_time: 0.006, memory: 52390, decode.loss_ce: 0.2566, decode.acc_seg: 89.7486, loss: 0.2566 +2023-03-04 21:23:54,939 - mmseg - INFO - Iter [10300/80000] lr: 7.500e-05, eta: 8:10:26, time: 0.174, data_time: 0.006, memory: 52390, decode.loss_ce: 0.2559, decode.acc_seg: 89.6812, loss: 0.2559 +2023-03-04 21:24:03,633 - mmseg - INFO - Iter [10350/80000] lr: 7.500e-05, eta: 8:03:57, time: 0.174, data_time: 0.006, memory: 52390, decode.loss_ce: 0.2523, decode.acc_seg: 89.7583, loss: 0.2523 +2023-03-04 21:24:12,573 - mmseg - INFO - Iter [10400/80000] lr: 7.500e-05, eta: 7:57:51, time: 0.179, data_time: 0.007, memory: 52390, decode.loss_ce: 0.2460, decode.acc_seg: 90.1729, loss: 0.2460 +2023-03-04 21:24:21,298 - mmseg - INFO - Iter [10450/80000] lr: 7.500e-05, eta: 7:51:53, time: 0.174, data_time: 0.006, memory: 52390, decode.loss_ce: 0.2572, decode.acc_seg: 89.6036, loss: 0.2572 +2023-03-04 21:24:29,910 - mmseg - INFO - Iter [10500/80000] lr: 7.500e-05, eta: 7:46:06, time: 0.172, data_time: 0.006, memory: 52390, decode.loss_ce: 0.2403, decode.acc_seg: 90.3185, loss: 0.2403 +2023-03-04 21:24:41,523 - mmseg - INFO - Iter [10550/80000] lr: 7.500e-05, eta: 7:41:55, time: 0.232, data_time: 0.054, memory: 52390, decode.loss_ce: 0.2546, decode.acc_seg: 89.7669, loss: 0.2546 +2023-03-04 21:24:50,236 - mmseg - INFO - Iter [10600/80000] lr: 7.500e-05, eta: 7:36:35, time: 0.174, data_time: 0.006, memory: 52390, decode.loss_ce: 0.2648, decode.acc_seg: 89.4639, loss: 0.2648 +2023-03-04 21:24:58,820 - mmseg - INFO - Iter [10650/80000] lr: 7.500e-05, eta: 7:31:24, time: 0.172, data_time: 0.006, memory: 52390, decode.loss_ce: 0.2406, decode.acc_seg: 90.1788, loss: 0.2406 +2023-03-04 21:25:07,652 - mmseg - INFO - Iter [10700/80000] lr: 7.500e-05, eta: 7:26:30, time: 0.177, data_time: 0.006, memory: 52390, decode.loss_ce: 0.2447, decode.acc_seg: 90.2119, loss: 0.2447 +2023-03-04 21:25:16,294 - mmseg - INFO - Iter [10750/80000] lr: 7.500e-05, eta: 7:21:41, time: 0.173, data_time: 0.006, memory: 52390, decode.loss_ce: 0.2528, decode.acc_seg: 89.8402, loss: 0.2528 +2023-03-04 21:25:25,213 - mmseg - INFO - Iter [10800/80000] lr: 7.500e-05, eta: 7:17:10, time: 0.178, data_time: 0.007, memory: 52390, decode.loss_ce: 0.2517, decode.acc_seg: 89.9256, loss: 0.2517 +2023-03-04 21:25:34,143 - mmseg - INFO - Iter [10850/80000] lr: 7.500e-05, eta: 7:12:48, time: 0.179, data_time: 0.006, memory: 52390, decode.loss_ce: 0.2606, decode.acc_seg: 89.6733, loss: 0.2606 +2023-03-04 21:25:43,121 - mmseg - INFO - Iter [10900/80000] lr: 7.500e-05, eta: 7:08:36, time: 0.180, data_time: 0.006, memory: 52390, decode.loss_ce: 0.2449, decode.acc_seg: 90.0060, loss: 0.2449 +2023-03-04 21:25:52,110 - mmseg - INFO - Iter [10950/80000] lr: 7.500e-05, eta: 7:04:32, time: 0.180, data_time: 0.006, memory: 52390, decode.loss_ce: 0.2447, decode.acc_seg: 90.0594, loss: 0.2447 +2023-03-04 21:26:01,114 - mmseg - INFO - Exp name: ablation_segformer_mit_b2_segformer_head_unet_fc_single_step_ade_pretrained_freeze_embed_80k_ade20k151_logits.py +2023-03-04 21:26:01,114 - mmseg - INFO - Iter [11000/80000] lr: 7.500e-05, eta: 7:00:36, time: 0.180, data_time: 0.007, memory: 52390, decode.loss_ce: 0.2475, decode.acc_seg: 89.9945, loss: 0.2475 +2023-03-04 21:26:09,964 - mmseg - INFO - Iter [11050/80000] lr: 7.500e-05, eta: 6:56:45, time: 0.177, data_time: 0.006, memory: 52390, decode.loss_ce: 0.2459, decode.acc_seg: 90.0773, loss: 0.2459 +2023-03-04 21:26:18,545 - mmseg - INFO - Iter [11100/80000] lr: 7.500e-05, eta: 6:52:54, time: 0.172, data_time: 0.006, memory: 52390, decode.loss_ce: 0.2588, decode.acc_seg: 89.6659, loss: 0.2588 +2023-03-04 21:26:27,464 - mmseg - INFO - Iter [11150/80000] lr: 7.500e-05, eta: 6:49:18, time: 0.178, data_time: 0.006, memory: 52390, decode.loss_ce: 0.2461, decode.acc_seg: 90.1098, loss: 0.2461 +2023-03-04 21:26:38,855 - mmseg - INFO - Iter [11200/80000] lr: 7.500e-05, eta: 6:46:42, time: 0.228, data_time: 0.053, memory: 52390, decode.loss_ce: 0.2596, decode.acc_seg: 89.7951, loss: 0.2596 +2023-03-04 21:26:47,860 - mmseg - INFO - Iter [11250/80000] lr: 7.500e-05, eta: 6:43:20, time: 0.180, data_time: 0.006, memory: 52390, decode.loss_ce: 0.2491, decode.acc_seg: 90.0127, loss: 0.2491 +2023-03-04 21:26:57,075 - mmseg - INFO - Iter [11300/80000] lr: 7.500e-05, eta: 6:40:08, time: 0.185, data_time: 0.006, memory: 52390, decode.loss_ce: 0.2382, decode.acc_seg: 90.2450, loss: 0.2382 +2023-03-04 21:27:05,962 - mmseg - INFO - Iter [11350/80000] lr: 7.500e-05, eta: 6:36:54, time: 0.178, data_time: 0.007, memory: 52390, decode.loss_ce: 0.2510, decode.acc_seg: 89.8415, loss: 0.2510 +2023-03-04 21:27:14,510 - mmseg - INFO - Iter [11400/80000] lr: 7.500e-05, eta: 6:33:39, time: 0.171, data_time: 0.006, memory: 52390, decode.loss_ce: 0.2450, decode.acc_seg: 89.9924, loss: 0.2450 +2023-03-04 21:27:23,461 - mmseg - INFO - Iter [11450/80000] lr: 7.500e-05, eta: 6:30:38, time: 0.179, data_time: 0.006, memory: 52390, decode.loss_ce: 0.2562, decode.acc_seg: 89.6791, loss: 0.2562 +2023-03-04 21:27:32,232 - mmseg - INFO - Iter [11500/80000] lr: 7.500e-05, eta: 6:27:38, time: 0.175, data_time: 0.006, memory: 52390, decode.loss_ce: 0.2565, decode.acc_seg: 89.5447, loss: 0.2565 +2023-03-04 21:27:41,281 - mmseg - INFO - Iter [11550/80000] lr: 7.500e-05, eta: 6:24:48, time: 0.181, data_time: 0.007, memory: 52390, decode.loss_ce: 0.2604, decode.acc_seg: 89.6149, loss: 0.2604 +2023-03-04 21:27:50,584 - mmseg - INFO - Iter [11600/80000] lr: 7.500e-05, eta: 6:22:08, time: 0.186, data_time: 0.006, memory: 52390, decode.loss_ce: 0.2571, decode.acc_seg: 89.7752, loss: 0.2571 +2023-03-04 21:27:59,311 - mmseg - INFO - Iter [11650/80000] lr: 7.500e-05, eta: 6:19:21, time: 0.175, data_time: 0.006, memory: 52390, decode.loss_ce: 0.2430, decode.acc_seg: 90.0725, loss: 0.2430 +2023-03-04 21:28:08,115 - mmseg - INFO - Iter [11700/80000] lr: 7.500e-05, eta: 6:16:39, time: 0.176, data_time: 0.007, memory: 52390, decode.loss_ce: 0.2567, decode.acc_seg: 89.5966, loss: 0.2567 +2023-03-04 21:28:16,856 - mmseg - INFO - Iter [11750/80000] lr: 7.500e-05, eta: 6:14:00, time: 0.175, data_time: 0.006, memory: 52390, decode.loss_ce: 0.2580, decode.acc_seg: 89.7323, loss: 0.2580 +2023-03-04 21:28:28,681 - mmseg - INFO - Iter [11800/80000] lr: 7.500e-05, eta: 6:12:21, time: 0.237, data_time: 0.053, memory: 52390, decode.loss_ce: 0.2487, decode.acc_seg: 90.0867, loss: 0.2487 +2023-03-04 21:28:37,947 - mmseg - INFO - Iter [11850/80000] lr: 7.500e-05, eta: 6:09:59, time: 0.186, data_time: 0.006, memory: 52390, decode.loss_ce: 0.2612, decode.acc_seg: 89.7611, loss: 0.2612 +2023-03-04 21:28:46,651 - mmseg - INFO - Iter [11900/80000] lr: 7.500e-05, eta: 6:07:30, time: 0.174, data_time: 0.006, memory: 52390, decode.loss_ce: 0.2345, decode.acc_seg: 90.4173, loss: 0.2345 +2023-03-04 21:28:55,594 - mmseg - INFO - Iter [11950/80000] lr: 7.500e-05, eta: 6:05:09, time: 0.179, data_time: 0.006, memory: 52390, decode.loss_ce: 0.2319, decode.acc_seg: 90.4980, loss: 0.2319 +2023-03-04 21:29:04,692 - mmseg - INFO - Exp name: ablation_segformer_mit_b2_segformer_head_unet_fc_single_step_ade_pretrained_freeze_embed_80k_ade20k151_logits.py +2023-03-04 21:29:04,692 - mmseg - INFO - Iter [12000/80000] lr: 7.500e-05, eta: 6:02:54, time: 0.182, data_time: 0.006, memory: 52390, decode.loss_ce: 0.2431, decode.acc_seg: 90.2366, loss: 0.2431 +2023-03-04 21:29:14,105 - mmseg - INFO - Iter [12050/80000] lr: 7.500e-05, eta: 6:00:48, time: 0.188, data_time: 0.007, memory: 52390, decode.loss_ce: 0.2542, decode.acc_seg: 89.8204, loss: 0.2542 +2023-03-04 21:29:22,728 - mmseg - INFO - Iter [12100/80000] lr: 7.500e-05, eta: 5:58:31, time: 0.172, data_time: 0.006, memory: 52390, decode.loss_ce: 0.2657, decode.acc_seg: 89.4135, loss: 0.2657 +2023-03-04 21:29:31,568 - mmseg - INFO - Iter [12150/80000] lr: 7.500e-05, eta: 5:56:20, time: 0.177, data_time: 0.006, memory: 52390, decode.loss_ce: 0.2484, decode.acc_seg: 90.0789, loss: 0.2484 +2023-03-04 21:29:40,339 - mmseg - INFO - Iter [12200/80000] lr: 7.500e-05, eta: 5:54:12, time: 0.175, data_time: 0.006, memory: 52390, decode.loss_ce: 0.2387, decode.acc_seg: 90.3215, loss: 0.2387 +2023-03-04 21:29:49,361 - mmseg - INFO - Iter [12250/80000] lr: 7.500e-05, eta: 5:52:10, time: 0.180, data_time: 0.006, memory: 52390, decode.loss_ce: 0.2342, decode.acc_seg: 90.4158, loss: 0.2342 +2023-03-04 21:29:58,057 - mmseg - INFO - Iter [12300/80000] lr: 7.500e-05, eta: 5:50:06, time: 0.174, data_time: 0.006, memory: 52390, decode.loss_ce: 0.2423, decode.acc_seg: 90.2287, loss: 0.2423 +2023-03-04 21:30:07,015 - mmseg - INFO - Iter [12350/80000] lr: 7.500e-05, eta: 5:48:09, time: 0.179, data_time: 0.006, memory: 52390, decode.loss_ce: 0.2507, decode.acc_seg: 89.8662, loss: 0.2507 +2023-03-04 21:30:15,644 - mmseg - INFO - Iter [12400/80000] lr: 7.500e-05, eta: 5:46:09, time: 0.173, data_time: 0.006, memory: 52390, decode.loss_ce: 0.2453, decode.acc_seg: 90.0944, loss: 0.2453 +2023-03-04 21:30:26,860 - mmseg - INFO - Iter [12450/80000] lr: 7.500e-05, eta: 5:44:50, time: 0.224, data_time: 0.054, memory: 52390, decode.loss_ce: 0.2423, decode.acc_seg: 90.2559, loss: 0.2423 +2023-03-04 21:30:36,071 - mmseg - INFO - Iter [12500/80000] lr: 7.500e-05, eta: 5:43:03, time: 0.184, data_time: 0.006, memory: 52390, decode.loss_ce: 0.2405, decode.acc_seg: 90.3924, loss: 0.2405 +2023-03-04 21:30:44,694 - mmseg - INFO - Iter [12550/80000] lr: 7.500e-05, eta: 5:41:10, time: 0.172, data_time: 0.006, memory: 52390, decode.loss_ce: 0.2537, decode.acc_seg: 89.9150, loss: 0.2537 +2023-03-04 21:30:53,344 - mmseg - INFO - Iter [12600/80000] lr: 7.500e-05, eta: 5:39:19, time: 0.173, data_time: 0.006, memory: 52390, decode.loss_ce: 0.2577, decode.acc_seg: 89.5941, loss: 0.2577 +2023-03-04 21:31:02,099 - mmseg - INFO - Iter [12650/80000] lr: 7.500e-05, eta: 5:37:32, time: 0.175, data_time: 0.007, memory: 52390, decode.loss_ce: 0.2628, decode.acc_seg: 89.3820, loss: 0.2628 +2023-03-04 21:31:11,163 - mmseg - INFO - Iter [12700/80000] lr: 7.500e-05, eta: 5:35:52, time: 0.181, data_time: 0.007, memory: 52390, decode.loss_ce: 0.2542, decode.acc_seg: 89.8577, loss: 0.2542 +2023-03-04 21:31:20,137 - mmseg - INFO - Iter [12750/80000] lr: 7.500e-05, eta: 5:34:12, time: 0.179, data_time: 0.006, memory: 52390, decode.loss_ce: 0.2464, decode.acc_seg: 90.3744, loss: 0.2464 +2023-03-04 21:31:28,815 - mmseg - INFO - Iter [12800/80000] lr: 7.500e-05, eta: 5:32:30, time: 0.174, data_time: 0.006, memory: 52390, decode.loss_ce: 0.2473, decode.acc_seg: 89.9718, loss: 0.2473 +2023-03-04 21:31:37,598 - mmseg - INFO - Iter [12850/80000] lr: 7.500e-05, eta: 5:30:51, time: 0.176, data_time: 0.007, memory: 52390, decode.loss_ce: 0.2418, decode.acc_seg: 90.2286, loss: 0.2418 +2023-03-04 21:31:46,328 - mmseg - INFO - Iter [12900/80000] lr: 7.500e-05, eta: 5:29:13, time: 0.175, data_time: 0.006, memory: 52390, decode.loss_ce: 0.2501, decode.acc_seg: 89.9908, loss: 0.2501 +2023-03-04 21:31:55,314 - mmseg - INFO - Iter [12950/80000] lr: 7.500e-05, eta: 5:27:41, time: 0.180, data_time: 0.007, memory: 52390, decode.loss_ce: 0.2461, decode.acc_seg: 89.8815, loss: 0.2461 +2023-03-04 21:32:04,245 - mmseg - INFO - Exp name: ablation_segformer_mit_b2_segformer_head_unet_fc_single_step_ade_pretrained_freeze_embed_80k_ade20k151_logits.py +2023-03-04 21:32:04,245 - mmseg - INFO - Iter [13000/80000] lr: 7.500e-05, eta: 5:26:09, time: 0.179, data_time: 0.006, memory: 52390, decode.loss_ce: 0.2450, decode.acc_seg: 90.1816, loss: 0.2450 +2023-03-04 21:32:15,305 - mmseg - INFO - Iter [13050/80000] lr: 7.500e-05, eta: 5:25:08, time: 0.221, data_time: 0.054, memory: 52390, decode.loss_ce: 0.2377, decode.acc_seg: 90.1840, loss: 0.2377 +2023-03-04 21:32:24,183 - mmseg - INFO - Iter [13100/80000] lr: 7.500e-05, eta: 5:23:39, time: 0.178, data_time: 0.006, memory: 52390, decode.loss_ce: 0.2416, decode.acc_seg: 90.1596, loss: 0.2416 +2023-03-04 21:32:32,983 - mmseg - INFO - Iter [13150/80000] lr: 7.500e-05, eta: 5:22:10, time: 0.176, data_time: 0.006, memory: 52390, decode.loss_ce: 0.2392, decode.acc_seg: 90.2603, loss: 0.2392 +2023-03-04 21:32:42,076 - mmseg - INFO - Iter [13200/80000] lr: 7.500e-05, eta: 5:20:47, time: 0.182, data_time: 0.006, memory: 52390, decode.loss_ce: 0.2481, decode.acc_seg: 90.0269, loss: 0.2481 +2023-03-04 21:32:50,771 - mmseg - INFO - Iter [13250/80000] lr: 7.500e-05, eta: 5:19:20, time: 0.174, data_time: 0.007, memory: 52390, decode.loss_ce: 0.2530, decode.acc_seg: 89.8482, loss: 0.2530 +2023-03-04 21:32:59,482 - mmseg - INFO - Iter [13300/80000] lr: 7.500e-05, eta: 5:17:54, time: 0.174, data_time: 0.006, memory: 52390, decode.loss_ce: 0.2450, decode.acc_seg: 90.0450, loss: 0.2450 +2023-03-04 21:33:08,045 - mmseg - INFO - Iter [13350/80000] lr: 7.500e-05, eta: 5:16:29, time: 0.171, data_time: 0.006, memory: 52390, decode.loss_ce: 0.2452, decode.acc_seg: 90.2252, loss: 0.2452 +2023-03-04 21:33:17,181 - mmseg - INFO - Iter [13400/80000] lr: 7.500e-05, eta: 5:15:11, time: 0.183, data_time: 0.006, memory: 52390, decode.loss_ce: 0.2477, decode.acc_seg: 90.0464, loss: 0.2477 +2023-03-04 21:33:26,198 - mmseg - INFO - Iter [13450/80000] lr: 7.500e-05, eta: 5:13:54, time: 0.180, data_time: 0.007, memory: 52390, decode.loss_ce: 0.2417, decode.acc_seg: 90.1883, loss: 0.2417 +2023-03-04 21:33:35,471 - mmseg - INFO - Iter [13500/80000] lr: 7.500e-05, eta: 5:12:41, time: 0.185, data_time: 0.007, memory: 52390, decode.loss_ce: 0.2555, decode.acc_seg: 89.7734, loss: 0.2555 +2023-03-04 21:33:44,278 - mmseg - INFO - Iter [13550/80000] lr: 7.500e-05, eta: 5:11:23, time: 0.176, data_time: 0.007, memory: 52390, decode.loss_ce: 0.2582, decode.acc_seg: 89.7345, loss: 0.2582 +2023-03-04 21:33:53,493 - mmseg - INFO - Iter [13600/80000] lr: 7.500e-05, eta: 5:10:12, time: 0.184, data_time: 0.006, memory: 52390, decode.loss_ce: 0.2454, decode.acc_seg: 90.2413, loss: 0.2454 +2023-03-04 21:34:02,211 - mmseg - INFO - Iter [13650/80000] lr: 7.500e-05, eta: 5:08:55, time: 0.174, data_time: 0.006, memory: 52390, decode.loss_ce: 0.2471, decode.acc_seg: 90.1016, loss: 0.2471 +2023-03-04 21:34:13,378 - mmseg - INFO - Iter [13700/80000] lr: 7.500e-05, eta: 5:08:09, time: 0.223, data_time: 0.053, memory: 52390, decode.loss_ce: 0.2484, decode.acc_seg: 89.9380, loss: 0.2484 +2023-03-04 21:34:21,936 - mmseg - INFO - Iter [13750/80000] lr: 7.500e-05, eta: 5:06:53, time: 0.171, data_time: 0.006, memory: 52390, decode.loss_ce: 0.2342, decode.acc_seg: 90.5387, loss: 0.2342 +2023-03-04 21:34:30,509 - mmseg - INFO - Iter [13800/80000] lr: 7.500e-05, eta: 5:05:38, time: 0.171, data_time: 0.006, memory: 52390, decode.loss_ce: 0.2515, decode.acc_seg: 90.0692, loss: 0.2515 +2023-03-04 21:34:39,193 - mmseg - INFO - Iter [13850/80000] lr: 7.500e-05, eta: 5:04:26, time: 0.174, data_time: 0.006, memory: 52390, decode.loss_ce: 0.2521, decode.acc_seg: 89.7605, loss: 0.2521 +2023-03-04 21:34:47,852 - mmseg - INFO - Iter [13900/80000] lr: 7.500e-05, eta: 5:03:15, time: 0.173, data_time: 0.006, memory: 52390, decode.loss_ce: 0.2436, decode.acc_seg: 90.2257, loss: 0.2436 +2023-03-04 21:34:56,617 - mmseg - INFO - Iter [13950/80000] lr: 7.500e-05, eta: 5:02:05, time: 0.175, data_time: 0.007, memory: 52390, decode.loss_ce: 0.2468, decode.acc_seg: 90.1253, loss: 0.2468 +2023-03-04 21:35:06,142 - mmseg - INFO - Exp name: ablation_segformer_mit_b2_segformer_head_unet_fc_single_step_ade_pretrained_freeze_embed_80k_ade20k151_logits.py +2023-03-04 21:35:06,142 - mmseg - INFO - Iter [14000/80000] lr: 7.500e-05, eta: 5:01:05, time: 0.190, data_time: 0.006, memory: 52390, decode.loss_ce: 0.2450, decode.acc_seg: 90.0117, loss: 0.2450 +2023-03-04 21:35:14,828 - mmseg - INFO - Iter [14050/80000] lr: 7.500e-05, eta: 4:59:57, time: 0.174, data_time: 0.007, memory: 52390, decode.loss_ce: 0.2491, decode.acc_seg: 90.0216, loss: 0.2491 +2023-03-04 21:35:23,761 - mmseg - INFO - Iter [14100/80000] lr: 7.500e-05, eta: 4:58:53, time: 0.179, data_time: 0.006, memory: 52390, decode.loss_ce: 0.2568, decode.acc_seg: 89.8928, loss: 0.2568 +2023-03-04 21:35:32,825 - mmseg - INFO - Iter [14150/80000] lr: 7.500e-05, eta: 4:57:50, time: 0.181, data_time: 0.006, memory: 52390, decode.loss_ce: 0.2507, decode.acc_seg: 89.8296, loss: 0.2507 +2023-03-04 21:35:41,643 - mmseg - INFO - Iter [14200/80000] lr: 7.500e-05, eta: 4:56:46, time: 0.176, data_time: 0.007, memory: 52390, decode.loss_ce: 0.2508, decode.acc_seg: 90.0403, loss: 0.2508 +2023-03-04 21:35:50,447 - mmseg - INFO - Iter [14250/80000] lr: 7.500e-05, eta: 4:55:43, time: 0.176, data_time: 0.006, memory: 52390, decode.loss_ce: 0.2438, decode.acc_seg: 90.1474, loss: 0.2438 +2023-03-04 21:35:59,738 - mmseg - INFO - Iter [14300/80000] lr: 7.500e-05, eta: 4:54:46, time: 0.186, data_time: 0.007, memory: 52390, decode.loss_ce: 0.2385, decode.acc_seg: 90.4585, loss: 0.2385 +2023-03-04 21:36:11,012 - mmseg - INFO - Iter [14350/80000] lr: 7.500e-05, eta: 4:54:10, time: 0.226, data_time: 0.053, memory: 52390, decode.loss_ce: 0.2393, decode.acc_seg: 90.2266, loss: 0.2393 +2023-03-04 21:36:20,306 - mmseg - INFO - Iter [14400/80000] lr: 7.500e-05, eta: 4:53:14, time: 0.186, data_time: 0.006, memory: 52390, decode.loss_ce: 0.2466, decode.acc_seg: 90.0766, loss: 0.2466 +2023-03-04 21:36:28,941 - mmseg - INFO - Iter [14450/80000] lr: 7.500e-05, eta: 4:52:12, time: 0.173, data_time: 0.006, memory: 52390, decode.loss_ce: 0.2419, decode.acc_seg: 90.3091, loss: 0.2419 +2023-03-04 21:36:37,731 - mmseg - INFO - Iter [14500/80000] lr: 7.500e-05, eta: 4:51:12, time: 0.176, data_time: 0.006, memory: 52390, decode.loss_ce: 0.2348, decode.acc_seg: 90.5120, loss: 0.2348 +2023-03-04 21:36:46,340 - mmseg - INFO - Iter [14550/80000] lr: 7.500e-05, eta: 4:50:12, time: 0.172, data_time: 0.006, memory: 52390, decode.loss_ce: 0.2408, decode.acc_seg: 90.2053, loss: 0.2408 +2023-03-04 21:36:55,267 - mmseg - INFO - Iter [14600/80000] lr: 7.500e-05, eta: 4:49:15, time: 0.179, data_time: 0.006, memory: 52390, decode.loss_ce: 0.2406, decode.acc_seg: 90.3744, loss: 0.2406 +2023-03-04 21:37:04,480 - mmseg - INFO - Iter [14650/80000] lr: 7.500e-05, eta: 4:48:22, time: 0.184, data_time: 0.006, memory: 52390, decode.loss_ce: 0.2487, decode.acc_seg: 89.8760, loss: 0.2487 +2023-03-04 21:37:13,851 - mmseg - INFO - Iter [14700/80000] lr: 7.500e-05, eta: 4:47:31, time: 0.187, data_time: 0.006, memory: 52390, decode.loss_ce: 0.2517, decode.acc_seg: 89.8134, loss: 0.2517 +2023-03-04 21:37:22,876 - mmseg - INFO - Iter [14750/80000] lr: 7.500e-05, eta: 4:46:37, time: 0.181, data_time: 0.007, memory: 52390, decode.loss_ce: 0.2490, decode.acc_seg: 90.0197, loss: 0.2490 +2023-03-04 21:37:31,716 - mmseg - INFO - Iter [14800/80000] lr: 7.500e-05, eta: 4:45:43, time: 0.177, data_time: 0.006, memory: 52390, decode.loss_ce: 0.2463, decode.acc_seg: 90.0005, loss: 0.2463 +2023-03-04 21:37:40,575 - mmseg - INFO - Iter [14850/80000] lr: 7.500e-05, eta: 4:44:49, time: 0.177, data_time: 0.006, memory: 52390, decode.loss_ce: 0.2488, decode.acc_seg: 89.9955, loss: 0.2488 +2023-03-04 21:37:49,301 - mmseg - INFO - Iter [14900/80000] lr: 7.500e-05, eta: 4:43:54, time: 0.174, data_time: 0.006, memory: 52390, decode.loss_ce: 0.2504, decode.acc_seg: 89.9667, loss: 0.2504 +2023-03-04 21:38:00,417 - mmseg - INFO - Iter [14950/80000] lr: 7.500e-05, eta: 4:43:23, time: 0.222, data_time: 0.053, memory: 52390, decode.loss_ce: 0.2575, decode.acc_seg: 89.7279, loss: 0.2575 +2023-03-04 21:38:09,081 - mmseg - INFO - Exp name: ablation_segformer_mit_b2_segformer_head_unet_fc_single_step_ade_pretrained_freeze_embed_80k_ade20k151_logits.py +2023-03-04 21:38:09,081 - mmseg - INFO - Iter [15000/80000] lr: 7.500e-05, eta: 4:42:29, time: 0.173, data_time: 0.006, memory: 52390, decode.loss_ce: 0.2354, decode.acc_seg: 90.4466, loss: 0.2354 +2023-03-04 21:38:17,742 - mmseg - INFO - Iter [15050/80000] lr: 7.500e-05, eta: 4:41:35, time: 0.173, data_time: 0.006, memory: 52390, decode.loss_ce: 0.2401, decode.acc_seg: 90.3564, loss: 0.2401 +2023-03-04 21:38:26,726 - mmseg - INFO - Iter [15100/80000] lr: 7.500e-05, eta: 4:40:46, time: 0.180, data_time: 0.007, memory: 52390, decode.loss_ce: 0.2540, decode.acc_seg: 89.7952, loss: 0.2540 +2023-03-04 21:38:35,735 - mmseg - INFO - Iter [15150/80000] lr: 7.500e-05, eta: 4:39:57, time: 0.180, data_time: 0.007, memory: 52390, decode.loss_ce: 0.2546, decode.acc_seg: 89.8361, loss: 0.2546 +2023-03-04 21:38:45,094 - mmseg - INFO - Iter [15200/80000] lr: 7.500e-05, eta: 4:39:11, time: 0.187, data_time: 0.006, memory: 52390, decode.loss_ce: 0.2326, decode.acc_seg: 90.4672, loss: 0.2326 +2023-03-04 21:38:53,761 - mmseg - INFO - Iter [15250/80000] lr: 7.500e-05, eta: 4:38:20, time: 0.173, data_time: 0.006, memory: 52390, decode.loss_ce: 0.2486, decode.acc_seg: 89.8273, loss: 0.2486 +2023-03-04 21:39:02,549 - mmseg - INFO - Iter [15300/80000] lr: 7.500e-05, eta: 4:37:31, time: 0.176, data_time: 0.006, memory: 52390, decode.loss_ce: 0.2354, decode.acc_seg: 90.3973, loss: 0.2354 +2023-03-04 21:39:11,030 - mmseg - INFO - Iter [15350/80000] lr: 7.500e-05, eta: 4:36:40, time: 0.170, data_time: 0.006, memory: 52390, decode.loss_ce: 0.2420, decode.acc_seg: 90.2344, loss: 0.2420 +2023-03-04 21:39:19,893 - mmseg - INFO - Iter [15400/80000] lr: 7.500e-05, eta: 4:35:52, time: 0.177, data_time: 0.006, memory: 52390, decode.loss_ce: 0.2449, decode.acc_seg: 90.1771, loss: 0.2449 +2023-03-04 21:39:28,669 - mmseg - INFO - Iter [15450/80000] lr: 7.500e-05, eta: 4:35:04, time: 0.176, data_time: 0.007, memory: 52390, decode.loss_ce: 0.2459, decode.acc_seg: 90.1088, loss: 0.2459 +2023-03-04 21:39:37,596 - mmseg - INFO - Iter [15500/80000] lr: 7.500e-05, eta: 4:34:18, time: 0.179, data_time: 0.006, memory: 52390, decode.loss_ce: 0.2491, decode.acc_seg: 89.8247, loss: 0.2491 +2023-03-04 21:39:46,900 - mmseg - INFO - Iter [15550/80000] lr: 7.500e-05, eta: 4:33:36, time: 0.186, data_time: 0.006, memory: 52390, decode.loss_ce: 0.2522, decode.acc_seg: 89.9476, loss: 0.2522 +2023-03-04 21:39:58,058 - mmseg - INFO - Iter [15600/80000] lr: 7.500e-05, eta: 4:33:10, time: 0.223, data_time: 0.053, memory: 52390, decode.loss_ce: 0.2412, decode.acc_seg: 90.3723, loss: 0.2412 +2023-03-04 21:40:06,839 - mmseg - INFO - Iter [15650/80000] lr: 7.500e-05, eta: 4:32:24, time: 0.176, data_time: 0.006, memory: 52390, decode.loss_ce: 0.2534, decode.acc_seg: 89.8438, loss: 0.2534 +2023-03-04 21:40:16,186 - mmseg - INFO - Iter [15700/80000] lr: 7.500e-05, eta: 4:31:43, time: 0.187, data_time: 0.006, memory: 52390, decode.loss_ce: 0.2456, decode.acc_seg: 90.2012, loss: 0.2456 +2023-03-04 21:40:25,080 - mmseg - INFO - Iter [15750/80000] lr: 7.500e-05, eta: 4:30:59, time: 0.178, data_time: 0.006, memory: 52390, decode.loss_ce: 0.2498, decode.acc_seg: 90.1504, loss: 0.2498 +2023-03-04 21:40:33,917 - mmseg - INFO - Iter [15800/80000] lr: 7.500e-05, eta: 4:30:15, time: 0.177, data_time: 0.007, memory: 52390, decode.loss_ce: 0.2483, decode.acc_seg: 90.0708, loss: 0.2483 +2023-03-04 21:40:43,115 - mmseg - INFO - Iter [15850/80000] lr: 7.500e-05, eta: 4:29:35, time: 0.184, data_time: 0.006, memory: 52390, decode.loss_ce: 0.2358, decode.acc_seg: 90.4640, loss: 0.2358 +2023-03-04 21:40:52,073 - mmseg - INFO - Iter [15900/80000] lr: 7.500e-05, eta: 4:28:52, time: 0.179, data_time: 0.006, memory: 52390, decode.loss_ce: 0.2547, decode.acc_seg: 89.6807, loss: 0.2547 +2023-03-04 21:41:01,055 - mmseg - INFO - Iter [15950/80000] lr: 7.500e-05, eta: 4:28:11, time: 0.180, data_time: 0.007, memory: 52390, decode.loss_ce: 0.2479, decode.acc_seg: 89.9908, loss: 0.2479 +2023-03-04 21:41:10,102 - mmseg - INFO - Saving checkpoint at 16000 iterations +2023-03-04 21:41:10,706 - mmseg - INFO - Exp name: ablation_segformer_mit_b2_segformer_head_unet_fc_single_step_ade_pretrained_freeze_embed_80k_ade20k151_logits.py +2023-03-04 21:41:10,706 - mmseg - INFO - Iter [16000/80000] lr: 7.500e-05, eta: 4:27:35, time: 0.193, data_time: 0.007, memory: 52390, decode.loss_ce: 0.2444, decode.acc_seg: 90.1117, loss: 0.2444 +2023-03-04 21:41:26,396 - mmseg - INFO - per class results: +2023-03-04 21:41:26,402 - mmseg - INFO - ++---------------------+-------+-------+ +| Class | IoU | Acc | ++---------------------+-------+-------+ +| background | nan | nan | +| wall | 74.9 | 86.4 | +| building | 80.97 | 90.31 | +| sky | 93.16 | 94.68 | +| floor | 80.3 | 89.76 | +| tree | 71.85 | 91.06 | +| ceiling | 82.47 | 86.78 | +| road | 80.39 | 92.28 | +| bed | 86.33 | 92.86 | +| windowpane | 56.44 | 84.73 | +| grass | 66.41 | 80.78 | +| cabinet | 57.34 | 70.43 | +| sidewalk | 61.9 | 72.45 | +| person | 77.33 | 89.32 | +| earth | 35.92 | 49.26 | +| door | 41.04 | 67.6 | +| table | 53.57 | 74.34 | +| mountain | 54.73 | 64.12 | +| plant | 48.78 | 60.68 | +| curtain | 70.41 | 80.79 | +| chair | 51.52 | 72.95 | +| car | 77.72 | 93.14 | +| water | 56.6 | 76.16 | +| painting | 65.39 | 86.57 | +| sofa | 61.49 | 82.16 | +| shelf | 35.69 | 43.08 | +| house | 43.6 | 65.15 | +| sea | 55.87 | 68.45 | +| mirror | 60.72 | 68.56 | +| rug | 63.59 | 76.1 | +| field | 29.41 | 43.77 | +| armchair | 33.1 | 46.12 | +| seat | 64.38 | 81.31 | +| fence | 38.21 | 49.16 | +| desk | 43.64 | 59.78 | +| rock | 39.2 | 65.49 | +| wardrobe | 55.14 | 66.32 | +| lamp | 51.45 | 79.2 | +| bathtub | 72.53 | 82.01 | +| railing | 32.33 | 41.61 | +| cushion | 52.0 | 71.43 | +| base | 16.14 | 19.4 | +| box | 18.91 | 21.97 | +| column | 44.05 | 54.56 | +| signboard | 32.1 | 58.41 | +| chest of drawers | 34.24 | 62.23 | +| counter | 14.02 | 14.97 | +| sand | 39.95 | 55.97 | +| sink | 63.61 | 73.26 | +| skyscraper | 59.59 | 84.67 | +| fireplace | 71.58 | 85.89 | +| refrigerator | 70.17 | 84.13 | +| grandstand | 53.01 | 61.03 | +| path | 22.15 | 28.95 | +| stairs | 38.49 | 54.34 | +| runway | 65.68 | 83.96 | +| case | 45.16 | 60.13 | +| pool table | 90.22 | 93.53 | +| pillow | 51.99 | 61.04 | +| screen door | 41.87 | 43.19 | +| stairway | 26.5 | 37.5 | +| river | 10.12 | 24.84 | +| bridge | 31.87 | 36.15 | +| bookcase | 38.23 | 58.1 | +| blind | 28.25 | 29.45 | +| coffee table | 47.21 | 80.44 | +| toilet | 81.61 | 89.23 | +| flower | 35.73 | 44.15 | +| book | 41.85 | 58.91 | +| hill | 9.71 | 10.92 | +| bench | 38.41 | 50.1 | +| countertop | 41.1 | 44.99 | +| stove | 68.15 | 82.51 | +| palm | 45.17 | 55.48 | +| kitchen island | 34.58 | 64.41 | +| computer | 58.22 | 67.72 | +| swivel chair | 42.87 | 57.7 | +| boat | 58.86 | 85.67 | +| bar | 21.48 | 29.38 | +| arcade machine | 71.58 | 74.82 | +| hovel | 13.96 | 14.51 | +| bus | 76.62 | 89.44 | +| towel | 59.6 | 70.17 | +| light | 47.53 | 65.71 | +| truck | 13.53 | 17.4 | +| tower | 5.18 | 7.87 | +| chandelier | 47.96 | 88.7 | +| awning | 19.8 | 25.92 | +| streetlight | 23.14 | 34.12 | +| booth | 31.49 | 31.7 | +| television receiver | 61.48 | 81.89 | +| airplane | 64.41 | 73.65 | +| dirt track | 4.29 | 7.9 | +| apparel | 29.49 | 53.99 | +| pole | 9.99 | 12.52 | +| land | 8.77 | 28.05 | +| bannister | 8.88 | 11.68 | +| escalator | 23.84 | 26.86 | +| ottoman | 35.43 | 64.61 | +| bottle | 32.7 | 60.58 | +| buffet | 43.03 | 51.23 | +| poster | 20.87 | 27.38 | +| stage | 13.28 | 18.68 | +| van | 37.11 | 50.19 | +| ship | 73.68 | 86.88 | +| fountain | 4.94 | 4.98 | +| conveyer belt | 82.77 | 86.94 | +| canopy | 20.92 | 22.84 | +| washer | 82.28 | 84.83 | +| plaything | 20.14 | 31.17 | +| swimming pool | 68.13 | 79.61 | +| stool | 34.09 | 56.23 | +| barrel | 23.63 | 36.42 | +| basket | 21.66 | 28.48 | +| waterfall | 45.79 | 60.83 | +| tent | 91.45 | 98.24 | +| bag | 12.68 | 14.71 | +| minibike | 53.91 | 62.46 | +| cradle | 80.37 | 95.59 | +| oven | 44.87 | 58.02 | +| ball | 48.07 | 56.08 | +| food | 28.88 | 32.43 | +| step | 3.48 | 3.65 | +| tank | 50.02 | 54.32 | +| trade name | 9.3 | 9.71 | +| microwave | 74.59 | 80.28 | +| pot | 34.13 | 44.61 | +| animal | 53.77 | 61.65 | +| bicycle | 48.39 | 65.34 | +| lake | 56.62 | 62.88 | +| dishwasher | 63.43 | 74.15 | +| screen | 58.69 | 63.68 | +| blanket | 11.9 | 14.02 | +| sculpture | 57.98 | 75.36 | +| hood | 55.09 | 66.01 | +| sconce | 37.79 | 49.74 | +| vase | 27.87 | 40.75 | +| traffic light | 26.35 | 53.5 | +| tray | 4.63 | 7.01 | +| ashcan | 37.44 | 52.39 | +| fan | 54.08 | 69.42 | +| pier | 26.86 | 73.73 | +| crt screen | 8.85 | 34.59 | +| plate | 43.09 | 54.38 | +| monitor | 0.22 | 0.23 | +| bulletin board | 30.76 | 42.82 | +| shower | 0.64 | 2.84 | +| radiator | 57.65 | 67.33 | +| glass | 7.55 | 8.01 | +| clock | 27.63 | 31.54 | +| flag | 33.89 | 42.74 | ++---------------------+-------+-------+ +2023-03-04 21:41:26,403 - mmseg - INFO - Summary: +2023-03-04 21:41:26,403 - mmseg - INFO - ++-------+-------+-------+ +| aAcc | mIoU | mAcc | ++-------+-------+-------+ +| 80.92 | 44.24 | 56.26 | ++-------+-------+-------+ +2023-03-04 21:41:26,425 - mmseg - INFO - The previous best checkpoint /mnt/petrelfs/laizeqiang/mmseg-baseline/work_dirs2/ablation_segformer_mit_b2_segformer_head_unet_fc_single_step_ade_pretrained_freeze_embed_80k_ade20k151_logits/best_mIoU_iter_8000.pth was removed +2023-03-04 21:41:27,047 - mmseg - INFO - Now best checkpoint is saved as best_mIoU_iter_16000.pth. +2023-03-04 21:41:27,047 - mmseg - INFO - Best mIoU is 0.4424 at 16000 iter. +2023-03-04 21:41:27,048 - mmseg - INFO - Exp name: ablation_segformer_mit_b2_segformer_head_unet_fc_single_step_ade_pretrained_freeze_embed_80k_ade20k151_logits.py +2023-03-04 21:41:27,048 - mmseg - INFO - Iter(val) [250] aAcc: 0.8092, mIoU: 0.4424, mAcc: 0.5626, IoU.background: nan, IoU.wall: 0.7490, IoU.building: 0.8097, IoU.sky: 0.9316, IoU.floor: 0.8030, IoU.tree: 0.7185, IoU.ceiling: 0.8247, IoU.road: 0.8039, IoU.bed : 0.8633, IoU.windowpane: 0.5644, IoU.grass: 0.6641, IoU.cabinet: 0.5734, IoU.sidewalk: 0.6190, IoU.person: 0.7733, IoU.earth: 0.3592, IoU.door: 0.4104, IoU.table: 0.5357, IoU.mountain: 0.5473, IoU.plant: 0.4878, IoU.curtain: 0.7041, IoU.chair: 0.5152, IoU.car: 0.7772, IoU.water: 0.5660, IoU.painting: 0.6539, IoU.sofa: 0.6149, IoU.shelf: 0.3569, IoU.house: 0.4360, IoU.sea: 0.5587, IoU.mirror: 0.6072, IoU.rug: 0.6359, IoU.field: 0.2941, IoU.armchair: 0.3310, IoU.seat: 0.6438, IoU.fence: 0.3821, IoU.desk: 0.4364, IoU.rock: 0.3920, IoU.wardrobe: 0.5514, IoU.lamp: 0.5145, IoU.bathtub: 0.7253, IoU.railing: 0.3233, IoU.cushion: 0.5200, IoU.base: 0.1614, IoU.box: 0.1891, IoU.column: 0.4405, IoU.signboard: 0.3210, IoU.chest of drawers: 0.3424, IoU.counter: 0.1402, IoU.sand: 0.3995, IoU.sink: 0.6361, IoU.skyscraper: 0.5959, IoU.fireplace: 0.7158, IoU.refrigerator: 0.7017, IoU.grandstand: 0.5301, IoU.path: 0.2215, IoU.stairs: 0.3849, IoU.runway: 0.6568, IoU.case: 0.4516, IoU.pool table: 0.9022, IoU.pillow: 0.5199, IoU.screen door: 0.4187, IoU.stairway: 0.2650, IoU.river: 0.1012, IoU.bridge: 0.3187, IoU.bookcase: 0.3823, IoU.blind: 0.2825, IoU.coffee table: 0.4721, IoU.toilet: 0.8161, IoU.flower: 0.3573, IoU.book: 0.4185, IoU.hill: 0.0971, IoU.bench: 0.3841, IoU.countertop: 0.4110, IoU.stove: 0.6815, IoU.palm: 0.4517, IoU.kitchen island: 0.3458, IoU.computer: 0.5822, IoU.swivel chair: 0.4287, IoU.boat: 0.5886, IoU.bar: 0.2148, IoU.arcade machine: 0.7158, IoU.hovel: 0.1396, IoU.bus: 0.7662, IoU.towel: 0.5960, IoU.light: 0.4753, IoU.truck: 0.1353, IoU.tower: 0.0518, IoU.chandelier: 0.4796, IoU.awning: 0.1980, IoU.streetlight: 0.2314, IoU.booth: 0.3149, IoU.television receiver: 0.6148, IoU.airplane: 0.6441, IoU.dirt track: 0.0429, IoU.apparel: 0.2949, IoU.pole: 0.0999, IoU.land: 0.0877, IoU.bannister: 0.0888, IoU.escalator: 0.2384, IoU.ottoman: 0.3543, IoU.bottle: 0.3270, IoU.buffet: 0.4303, IoU.poster: 0.2087, IoU.stage: 0.1328, IoU.van: 0.3711, IoU.ship: 0.7368, IoU.fountain: 0.0494, IoU.conveyer belt: 0.8277, IoU.canopy: 0.2092, IoU.washer: 0.8228, IoU.plaything: 0.2014, IoU.swimming pool: 0.6813, IoU.stool: 0.3409, IoU.barrel: 0.2363, IoU.basket: 0.2166, IoU.waterfall: 0.4579, IoU.tent: 0.9145, IoU.bag: 0.1268, IoU.minibike: 0.5391, IoU.cradle: 0.8037, IoU.oven: 0.4487, IoU.ball: 0.4807, IoU.food: 0.2888, IoU.step: 0.0348, IoU.tank: 0.5002, IoU.trade name: 0.0930, IoU.microwave: 0.7459, IoU.pot: 0.3413, IoU.animal: 0.5377, IoU.bicycle: 0.4839, IoU.lake: 0.5662, IoU.dishwasher: 0.6343, IoU.screen: 0.5869, IoU.blanket: 0.1190, IoU.sculpture: 0.5798, IoU.hood: 0.5509, IoU.sconce: 0.3779, IoU.vase: 0.2787, IoU.traffic light: 0.2635, IoU.tray: 0.0463, IoU.ashcan: 0.3744, IoU.fan: 0.5408, IoU.pier: 0.2686, IoU.crt screen: 0.0885, IoU.plate: 0.4309, IoU.monitor: 0.0022, IoU.bulletin board: 0.3076, IoU.shower: 0.0064, IoU.radiator: 0.5765, IoU.glass: 0.0755, IoU.clock: 0.2763, IoU.flag: 0.3389, Acc.background: nan, Acc.wall: 0.8640, Acc.building: 0.9031, Acc.sky: 0.9468, Acc.floor: 0.8976, Acc.tree: 0.9106, Acc.ceiling: 0.8678, Acc.road: 0.9228, Acc.bed : 0.9286, Acc.windowpane: 0.8473, Acc.grass: 0.8078, Acc.cabinet: 0.7043, Acc.sidewalk: 0.7245, Acc.person: 0.8932, Acc.earth: 0.4926, Acc.door: 0.6760, Acc.table: 0.7434, Acc.mountain: 0.6412, Acc.plant: 0.6068, Acc.curtain: 0.8079, Acc.chair: 0.7295, Acc.car: 0.9314, Acc.water: 0.7616, Acc.painting: 0.8657, Acc.sofa: 0.8216, Acc.shelf: 0.4308, Acc.house: 0.6515, Acc.sea: 0.6845, Acc.mirror: 0.6856, Acc.rug: 0.7610, Acc.field: 0.4377, Acc.armchair: 0.4612, Acc.seat: 0.8131, Acc.fence: 0.4916, Acc.desk: 0.5978, Acc.rock: 0.6549, Acc.wardrobe: 0.6632, Acc.lamp: 0.7920, Acc.bathtub: 0.8201, Acc.railing: 0.4161, Acc.cushion: 0.7143, Acc.base: 0.1940, Acc.box: 0.2197, Acc.column: 0.5456, Acc.signboard: 0.5841, Acc.chest of drawers: 0.6223, Acc.counter: 0.1497, Acc.sand: 0.5597, Acc.sink: 0.7326, Acc.skyscraper: 0.8467, Acc.fireplace: 0.8589, Acc.refrigerator: 0.8413, Acc.grandstand: 0.6103, Acc.path: 0.2895, Acc.stairs: 0.5434, Acc.runway: 0.8396, Acc.case: 0.6013, Acc.pool table: 0.9353, Acc.pillow: 0.6104, Acc.screen door: 0.4319, Acc.stairway: 0.3750, Acc.river: 0.2484, Acc.bridge: 0.3615, Acc.bookcase: 0.5810, Acc.blind: 0.2945, Acc.coffee table: 0.8044, Acc.toilet: 0.8923, Acc.flower: 0.4415, Acc.book: 0.5891, Acc.hill: 0.1092, Acc.bench: 0.5010, Acc.countertop: 0.4499, Acc.stove: 0.8251, Acc.palm: 0.5548, Acc.kitchen island: 0.6441, Acc.computer: 0.6772, Acc.swivel chair: 0.5770, Acc.boat: 0.8567, Acc.bar: 0.2938, Acc.arcade machine: 0.7482, Acc.hovel: 0.1451, Acc.bus: 0.8944, Acc.towel: 0.7017, Acc.light: 0.6571, Acc.truck: 0.1740, Acc.tower: 0.0787, Acc.chandelier: 0.8870, Acc.awning: 0.2592, Acc.streetlight: 0.3412, Acc.booth: 0.3170, Acc.television receiver: 0.8189, Acc.airplane: 0.7365, Acc.dirt track: 0.0790, Acc.apparel: 0.5399, Acc.pole: 0.1252, Acc.land: 0.2805, Acc.bannister: 0.1168, Acc.escalator: 0.2686, Acc.ottoman: 0.6461, Acc.bottle: 0.6058, Acc.buffet: 0.5123, Acc.poster: 0.2738, Acc.stage: 0.1868, Acc.van: 0.5019, Acc.ship: 0.8688, Acc.fountain: 0.0498, Acc.conveyer belt: 0.8694, Acc.canopy: 0.2284, Acc.washer: 0.8483, Acc.plaything: 0.3117, Acc.swimming pool: 0.7961, Acc.stool: 0.5623, Acc.barrel: 0.3642, Acc.basket: 0.2848, Acc.waterfall: 0.6083, Acc.tent: 0.9824, Acc.bag: 0.1471, Acc.minibike: 0.6246, Acc.cradle: 0.9559, Acc.oven: 0.5802, Acc.ball: 0.5608, Acc.food: 0.3243, Acc.step: 0.0365, Acc.tank: 0.5432, Acc.trade name: 0.0971, Acc.microwave: 0.8028, Acc.pot: 0.4461, Acc.animal: 0.6165, Acc.bicycle: 0.6534, Acc.lake: 0.6288, Acc.dishwasher: 0.7415, Acc.screen: 0.6368, Acc.blanket: 0.1402, Acc.sculpture: 0.7536, Acc.hood: 0.6601, Acc.sconce: 0.4974, Acc.vase: 0.4075, Acc.traffic light: 0.5350, Acc.tray: 0.0701, Acc.ashcan: 0.5239, Acc.fan: 0.6942, Acc.pier: 0.7373, Acc.crt screen: 0.3459, Acc.plate: 0.5438, Acc.monitor: 0.0023, Acc.bulletin board: 0.4282, Acc.shower: 0.0284, Acc.radiator: 0.6733, Acc.glass: 0.0801, Acc.clock: 0.3154, Acc.flag: 0.4274 +2023-03-04 21:41:36,524 - mmseg - INFO - Iter [16050/80000] lr: 7.500e-05, eta: 4:29:08, time: 0.516, data_time: 0.334, memory: 52390, decode.loss_ce: 0.2450, decode.acc_seg: 90.1803, loss: 0.2450 +2023-03-04 21:41:45,429 - mmseg - INFO - Iter [16100/80000] lr: 7.500e-05, eta: 4:28:26, time: 0.178, data_time: 0.007, memory: 52390, decode.loss_ce: 0.2411, decode.acc_seg: 90.3288, loss: 0.2411 +2023-03-04 21:41:54,184 - mmseg - INFO - Iter [16150/80000] lr: 7.500e-05, eta: 4:27:43, time: 0.175, data_time: 0.007, memory: 52390, decode.loss_ce: 0.2535, decode.acc_seg: 89.9807, loss: 0.2535 +2023-03-04 21:42:03,018 - mmseg - INFO - Iter [16200/80000] lr: 7.500e-05, eta: 4:27:01, time: 0.177, data_time: 0.007, memory: 52390, decode.loss_ce: 0.2439, decode.acc_seg: 90.1473, loss: 0.2439 +2023-03-04 21:42:14,511 - mmseg - INFO - Iter [16250/80000] lr: 7.500e-05, eta: 4:26:41, time: 0.230, data_time: 0.055, memory: 52390, decode.loss_ce: 0.2423, decode.acc_seg: 90.2902, loss: 0.2423 +2023-03-04 21:42:23,132 - mmseg - INFO - Iter [16300/80000] lr: 7.500e-05, eta: 4:25:58, time: 0.172, data_time: 0.006, memory: 52390, decode.loss_ce: 0.2384, decode.acc_seg: 90.4680, loss: 0.2384 +2023-03-04 21:42:31,962 - mmseg - INFO - Iter [16350/80000] lr: 7.500e-05, eta: 4:25:17, time: 0.177, data_time: 0.006, memory: 52390, decode.loss_ce: 0.2426, decode.acc_seg: 90.1364, loss: 0.2426 +2023-03-04 21:42:40,887 - mmseg - INFO - Iter [16400/80000] lr: 7.500e-05, eta: 4:24:38, time: 0.179, data_time: 0.006, memory: 52390, decode.loss_ce: 0.2481, decode.acc_seg: 90.0383, loss: 0.2481 +2023-03-04 21:42:49,665 - mmseg - INFO - Iter [16450/80000] lr: 7.500e-05, eta: 4:23:57, time: 0.176, data_time: 0.006, memory: 52390, decode.loss_ce: 0.2386, decode.acc_seg: 90.2003, loss: 0.2386 +2023-03-04 21:42:58,559 - mmseg - INFO - Iter [16500/80000] lr: 7.500e-05, eta: 4:23:18, time: 0.178, data_time: 0.006, memory: 52390, decode.loss_ce: 0.2498, decode.acc_seg: 90.0039, loss: 0.2498 +2023-03-04 21:43:07,285 - mmseg - INFO - Iter [16550/80000] lr: 7.500e-05, eta: 4:22:38, time: 0.175, data_time: 0.006, memory: 52390, decode.loss_ce: 0.2493, decode.acc_seg: 89.9933, loss: 0.2493 +2023-03-04 21:43:15,971 - mmseg - INFO - Iter [16600/80000] lr: 7.500e-05, eta: 4:21:58, time: 0.174, data_time: 0.007, memory: 52390, decode.loss_ce: 0.2511, decode.acc_seg: 89.9722, loss: 0.2511 +2023-03-04 21:43:24,594 - mmseg - INFO - Iter [16650/80000] lr: 7.500e-05, eta: 4:21:18, time: 0.172, data_time: 0.006, memory: 52390, decode.loss_ce: 0.2382, decode.acc_seg: 90.3006, loss: 0.2382 +2023-03-04 21:43:33,544 - mmseg - INFO - Iter [16700/80000] lr: 7.500e-05, eta: 4:20:41, time: 0.179, data_time: 0.007, memory: 52390, decode.loss_ce: 0.2372, decode.acc_seg: 90.3647, loss: 0.2372 +2023-03-04 21:43:42,584 - mmseg - INFO - Iter [16750/80000] lr: 7.500e-05, eta: 4:20:04, time: 0.181, data_time: 0.006, memory: 52390, decode.loss_ce: 0.2426, decode.acc_seg: 90.2645, loss: 0.2426 +2023-03-04 21:43:51,407 - mmseg - INFO - Iter [16800/80000] lr: 7.500e-05, eta: 4:19:27, time: 0.177, data_time: 0.006, memory: 52390, decode.loss_ce: 0.2506, decode.acc_seg: 89.9649, loss: 0.2506 +2023-03-04 21:44:02,696 - mmseg - INFO - Iter [16850/80000] lr: 7.500e-05, eta: 4:19:07, time: 0.226, data_time: 0.053, memory: 52390, decode.loss_ce: 0.2358, decode.acc_seg: 90.2620, loss: 0.2358 +2023-03-04 21:44:11,997 - mmseg - INFO - Iter [16900/80000] lr: 7.500e-05, eta: 4:18:34, time: 0.186, data_time: 0.006, memory: 52390, decode.loss_ce: 0.2332, decode.acc_seg: 90.4453, loss: 0.2332 +2023-03-04 21:44:21,450 - mmseg - INFO - Iter [16950/80000] lr: 7.500e-05, eta: 4:18:01, time: 0.189, data_time: 0.007, memory: 52390, decode.loss_ce: 0.2368, decode.acc_seg: 90.4151, loss: 0.2368 +2023-03-04 21:44:30,166 - mmseg - INFO - Exp name: ablation_segformer_mit_b2_segformer_head_unet_fc_single_step_ade_pretrained_freeze_embed_80k_ade20k151_logits.py +2023-03-04 21:44:30,166 - mmseg - INFO - Iter [17000/80000] lr: 7.500e-05, eta: 4:17:24, time: 0.175, data_time: 0.007, memory: 52390, decode.loss_ce: 0.2471, decode.acc_seg: 89.9184, loss: 0.2471 +2023-03-04 21:44:39,102 - mmseg - INFO - Iter [17050/80000] lr: 7.500e-05, eta: 4:16:49, time: 0.179, data_time: 0.006, memory: 52390, decode.loss_ce: 0.2354, decode.acc_seg: 90.4892, loss: 0.2354 +2023-03-04 21:44:48,116 - mmseg - INFO - Iter [17100/80000] lr: 7.500e-05, eta: 4:16:14, time: 0.180, data_time: 0.006, memory: 52390, decode.loss_ce: 0.2434, decode.acc_seg: 90.1590, loss: 0.2434 +2023-03-04 21:44:56,995 - mmseg - INFO - Iter [17150/80000] lr: 7.500e-05, eta: 4:15:39, time: 0.177, data_time: 0.006, memory: 52390, decode.loss_ce: 0.2525, decode.acc_seg: 89.6948, loss: 0.2525 +2023-03-04 21:45:06,080 - mmseg - INFO - Iter [17200/80000] lr: 7.500e-05, eta: 4:15:06, time: 0.182, data_time: 0.006, memory: 52390, decode.loss_ce: 0.2467, decode.acc_seg: 90.1480, loss: 0.2467 +2023-03-04 21:45:14,839 - mmseg - INFO - Iter [17250/80000] lr: 7.500e-05, eta: 4:14:30, time: 0.175, data_time: 0.006, memory: 52390, decode.loss_ce: 0.2449, decode.acc_seg: 89.9683, loss: 0.2449 +2023-03-04 21:45:23,742 - mmseg - INFO - Iter [17300/80000] lr: 7.500e-05, eta: 4:13:56, time: 0.178, data_time: 0.006, memory: 52390, decode.loss_ce: 0.2479, decode.acc_seg: 90.0318, loss: 0.2479 +2023-03-04 21:45:32,662 - mmseg - INFO - Iter [17350/80000] lr: 7.500e-05, eta: 4:13:22, time: 0.179, data_time: 0.007, memory: 52390, decode.loss_ce: 0.2421, decode.acc_seg: 90.1619, loss: 0.2421 +2023-03-04 21:45:41,338 - mmseg - INFO - Iter [17400/80000] lr: 7.500e-05, eta: 4:12:47, time: 0.174, data_time: 0.007, memory: 52390, decode.loss_ce: 0.2396, decode.acc_seg: 90.3449, loss: 0.2396 +2023-03-04 21:45:50,123 - mmseg - INFO - Iter [17450/80000] lr: 7.500e-05, eta: 4:12:13, time: 0.176, data_time: 0.006, memory: 52390, decode.loss_ce: 0.2419, decode.acc_seg: 90.2554, loss: 0.2419 +2023-03-04 21:46:01,360 - mmseg - INFO - Iter [17500/80000] lr: 7.500e-05, eta: 4:11:55, time: 0.225, data_time: 0.052, memory: 52390, decode.loss_ce: 0.2398, decode.acc_seg: 90.3347, loss: 0.2398 +2023-03-04 21:46:10,093 - mmseg - INFO - Iter [17550/80000] lr: 7.500e-05, eta: 4:11:21, time: 0.175, data_time: 0.006, memory: 52390, decode.loss_ce: 0.2488, decode.acc_seg: 90.2422, loss: 0.2488 +2023-03-04 21:46:19,041 - mmseg - INFO - Iter [17600/80000] lr: 7.500e-05, eta: 4:10:49, time: 0.179, data_time: 0.006, memory: 52390, decode.loss_ce: 0.2493, decode.acc_seg: 89.9775, loss: 0.2493 +2023-03-04 21:46:27,861 - mmseg - INFO - Iter [17650/80000] lr: 7.500e-05, eta: 4:10:16, time: 0.176, data_time: 0.006, memory: 52390, decode.loss_ce: 0.2481, decode.acc_seg: 89.9307, loss: 0.2481 +2023-03-04 21:46:36,847 - mmseg - INFO - Iter [17700/80000] lr: 7.500e-05, eta: 4:09:44, time: 0.180, data_time: 0.006, memory: 52390, decode.loss_ce: 0.2388, decode.acc_seg: 90.2801, loss: 0.2388 +2023-03-04 21:46:46,329 - mmseg - INFO - Iter [17750/80000] lr: 7.500e-05, eta: 4:09:16, time: 0.190, data_time: 0.006, memory: 52390, decode.loss_ce: 0.2466, decode.acc_seg: 90.1023, loss: 0.2466 +2023-03-04 21:46:55,166 - mmseg - INFO - Iter [17800/80000] lr: 7.500e-05, eta: 4:08:44, time: 0.177, data_time: 0.007, memory: 52390, decode.loss_ce: 0.2397, decode.acc_seg: 90.3521, loss: 0.2397 +2023-03-04 21:47:04,142 - mmseg - INFO - Iter [17850/80000] lr: 7.500e-05, eta: 4:08:13, time: 0.180, data_time: 0.007, memory: 52390, decode.loss_ce: 0.2432, decode.acc_seg: 90.0917, loss: 0.2432 +2023-03-04 21:47:12,720 - mmseg - INFO - Iter [17900/80000] lr: 7.500e-05, eta: 4:07:39, time: 0.172, data_time: 0.007, memory: 52390, decode.loss_ce: 0.2364, decode.acc_seg: 90.3916, loss: 0.2364 +2023-03-04 21:47:21,252 - mmseg - INFO - Iter [17950/80000] lr: 7.500e-05, eta: 4:07:06, time: 0.170, data_time: 0.006, memory: 52390, decode.loss_ce: 0.2389, decode.acc_seg: 90.4480, loss: 0.2389 +2023-03-04 21:47:30,354 - mmseg - INFO - Exp name: ablation_segformer_mit_b2_segformer_head_unet_fc_single_step_ade_pretrained_freeze_embed_80k_ade20k151_logits.py +2023-03-04 21:47:30,354 - mmseg - INFO - Iter [18000/80000] lr: 7.500e-05, eta: 4:06:36, time: 0.182, data_time: 0.007, memory: 52390, decode.loss_ce: 0.2412, decode.acc_seg: 90.1971, loss: 0.2412 +2023-03-04 21:47:39,726 - mmseg - INFO - Iter [18050/80000] lr: 7.500e-05, eta: 4:06:09, time: 0.188, data_time: 0.006, memory: 52390, decode.loss_ce: 0.2499, decode.acc_seg: 89.9948, loss: 0.2499 +2023-03-04 21:47:50,987 - mmseg - INFO - Iter [18100/80000] lr: 7.500e-05, eta: 4:05:53, time: 0.225, data_time: 0.053, memory: 52390, decode.loss_ce: 0.2417, decode.acc_seg: 90.1764, loss: 0.2417 +2023-03-04 21:47:59,603 - mmseg - INFO - Iter [18150/80000] lr: 7.500e-05, eta: 4:05:21, time: 0.172, data_time: 0.006, memory: 52390, decode.loss_ce: 0.2431, decode.acc_seg: 90.2766, loss: 0.2431 +2023-03-04 21:48:08,369 - mmseg - INFO - Iter [18200/80000] lr: 7.500e-05, eta: 4:04:50, time: 0.175, data_time: 0.006, memory: 52390, decode.loss_ce: 0.2371, decode.acc_seg: 90.4067, loss: 0.2371 +2023-03-04 21:48:17,484 - mmseg - INFO - Iter [18250/80000] lr: 7.500e-05, eta: 4:04:21, time: 0.182, data_time: 0.006, memory: 52390, decode.loss_ce: 0.2353, decode.acc_seg: 90.6240, loss: 0.2353 +2023-03-04 21:48:26,579 - mmseg - INFO - Iter [18300/80000] lr: 7.500e-05, eta: 4:03:53, time: 0.182, data_time: 0.007, memory: 52390, decode.loss_ce: 0.2362, decode.acc_seg: 90.4132, loss: 0.2362 +2023-03-04 21:48:35,606 - mmseg - INFO - Iter [18350/80000] lr: 7.500e-05, eta: 4:03:24, time: 0.181, data_time: 0.007, memory: 52390, decode.loss_ce: 0.2387, decode.acc_seg: 90.2660, loss: 0.2387 +2023-03-04 21:48:44,323 - mmseg - INFO - Iter [18400/80000] lr: 7.500e-05, eta: 4:02:53, time: 0.174, data_time: 0.007, memory: 52390, decode.loss_ce: 0.2386, decode.acc_seg: 90.3258, loss: 0.2386 +2023-03-04 21:48:53,083 - mmseg - INFO - Iter [18450/80000] lr: 7.500e-05, eta: 4:02:24, time: 0.175, data_time: 0.006, memory: 52390, decode.loss_ce: 0.2428, decode.acc_seg: 90.1263, loss: 0.2428 +2023-03-04 21:49:01,804 - mmseg - INFO - Iter [18500/80000] lr: 7.500e-05, eta: 4:01:54, time: 0.175, data_time: 0.007, memory: 52390, decode.loss_ce: 0.2358, decode.acc_seg: 90.3586, loss: 0.2358 +2023-03-04 21:49:11,004 - mmseg - INFO - Iter [18550/80000] lr: 7.500e-05, eta: 4:01:27, time: 0.184, data_time: 0.006, memory: 52390, decode.loss_ce: 0.2365, decode.acc_seg: 90.3993, loss: 0.2365 +2023-03-04 21:49:19,933 - mmseg - INFO - Iter [18600/80000] lr: 7.500e-05, eta: 4:00:58, time: 0.179, data_time: 0.007, memory: 52390, decode.loss_ce: 0.2344, decode.acc_seg: 90.4355, loss: 0.2344 +2023-03-04 21:49:28,672 - mmseg - INFO - Iter [18650/80000] lr: 7.500e-05, eta: 4:00:29, time: 0.175, data_time: 0.007, memory: 52390, decode.loss_ce: 0.2420, decode.acc_seg: 90.2012, loss: 0.2420 +2023-03-04 21:49:37,891 - mmseg - INFO - Iter [18700/80000] lr: 7.500e-05, eta: 4:00:03, time: 0.184, data_time: 0.006, memory: 52390, decode.loss_ce: 0.2396, decode.acc_seg: 90.2203, loss: 0.2396 +2023-03-04 21:49:49,023 - mmseg - INFO - Iter [18750/80000] lr: 7.500e-05, eta: 3:59:48, time: 0.223, data_time: 0.053, memory: 52390, decode.loss_ce: 0.2421, decode.acc_seg: 90.2611, loss: 0.2421 +2023-03-04 21:49:57,804 - mmseg - INFO - Iter [18800/80000] lr: 7.500e-05, eta: 3:59:19, time: 0.176, data_time: 0.006, memory: 52390, decode.loss_ce: 0.2293, decode.acc_seg: 90.6530, loss: 0.2293 +2023-03-04 21:50:06,629 - mmseg - INFO - Iter [18850/80000] lr: 7.500e-05, eta: 3:58:51, time: 0.176, data_time: 0.006, memory: 52390, decode.loss_ce: 0.2491, decode.acc_seg: 90.1351, loss: 0.2491 +2023-03-04 21:50:15,348 - mmseg - INFO - Iter [18900/80000] lr: 7.500e-05, eta: 3:58:22, time: 0.174, data_time: 0.006, memory: 52390, decode.loss_ce: 0.2404, decode.acc_seg: 90.3022, loss: 0.2404 +2023-03-04 21:50:24,749 - mmseg - INFO - Iter [18950/80000] lr: 7.500e-05, eta: 3:57:58, time: 0.188, data_time: 0.006, memory: 52390, decode.loss_ce: 0.2383, decode.acc_seg: 90.3163, loss: 0.2383 +2023-03-04 21:50:33,573 - mmseg - INFO - Exp name: ablation_segformer_mit_b2_segformer_head_unet_fc_single_step_ade_pretrained_freeze_embed_80k_ade20k151_logits.py +2023-03-04 21:50:33,573 - mmseg - INFO - Iter [19000/80000] lr: 7.500e-05, eta: 3:57:30, time: 0.176, data_time: 0.006, memory: 52390, decode.loss_ce: 0.2361, decode.acc_seg: 90.4826, loss: 0.2361 +2023-03-04 21:50:42,447 - mmseg - INFO - Iter [19050/80000] lr: 7.500e-05, eta: 3:57:03, time: 0.177, data_time: 0.007, memory: 52390, decode.loss_ce: 0.2359, decode.acc_seg: 90.1750, loss: 0.2359 +2023-03-04 21:50:51,680 - mmseg - INFO - Iter [19100/80000] lr: 7.500e-05, eta: 3:56:38, time: 0.185, data_time: 0.007, memory: 52390, decode.loss_ce: 0.2434, decode.acc_seg: 90.3321, loss: 0.2434 +2023-03-04 21:51:00,676 - mmseg - INFO - Iter [19150/80000] lr: 7.500e-05, eta: 3:56:12, time: 0.180, data_time: 0.007, memory: 52390, decode.loss_ce: 0.2404, decode.acc_seg: 90.3012, loss: 0.2404 +2023-03-04 21:51:09,288 - mmseg - INFO - Iter [19200/80000] lr: 7.500e-05, eta: 3:55:44, time: 0.172, data_time: 0.007, memory: 52390, decode.loss_ce: 0.2422, decode.acc_seg: 90.3458, loss: 0.2422 +2023-03-04 21:51:18,639 - mmseg - INFO - Iter [19250/80000] lr: 7.500e-05, eta: 3:55:20, time: 0.187, data_time: 0.006, memory: 52390, decode.loss_ce: 0.2489, decode.acc_seg: 90.1636, loss: 0.2489 +2023-03-04 21:51:27,431 - mmseg - INFO - Iter [19300/80000] lr: 7.500e-05, eta: 3:54:53, time: 0.176, data_time: 0.007, memory: 52390, decode.loss_ce: 0.2346, decode.acc_seg: 90.5048, loss: 0.2346 +2023-03-04 21:51:36,234 - mmseg - INFO - Iter [19350/80000] lr: 7.500e-05, eta: 3:54:26, time: 0.176, data_time: 0.006, memory: 52390, decode.loss_ce: 0.2500, decode.acc_seg: 90.0496, loss: 0.2500 +2023-03-04 21:51:47,952 - mmseg - INFO - Iter [19400/80000] lr: 7.500e-05, eta: 3:54:15, time: 0.234, data_time: 0.055, memory: 52390, decode.loss_ce: 0.2443, decode.acc_seg: 90.2580, loss: 0.2443 +2023-03-04 21:51:56,900 - mmseg - INFO - Iter [19450/80000] lr: 7.500e-05, eta: 3:53:50, time: 0.179, data_time: 0.006, memory: 52390, decode.loss_ce: 0.2397, decode.acc_seg: 90.2295, loss: 0.2397 +2023-03-04 21:52:05,701 - mmseg - INFO - Iter [19500/80000] lr: 7.500e-05, eta: 3:53:24, time: 0.176, data_time: 0.006, memory: 52390, decode.loss_ce: 0.2445, decode.acc_seg: 90.3550, loss: 0.2445 +2023-03-04 21:52:15,060 - mmseg - INFO - Iter [19550/80000] lr: 7.500e-05, eta: 3:53:00, time: 0.187, data_time: 0.007, memory: 52390, decode.loss_ce: 0.2343, decode.acc_seg: 90.4147, loss: 0.2343 +2023-03-04 21:52:23,811 - mmseg - INFO - Iter [19600/80000] lr: 7.500e-05, eta: 3:52:34, time: 0.175, data_time: 0.007, memory: 52390, decode.loss_ce: 0.2395, decode.acc_seg: 90.4351, loss: 0.2395 +2023-03-04 21:52:32,964 - mmseg - INFO - Iter [19650/80000] lr: 7.500e-05, eta: 3:52:10, time: 0.183, data_time: 0.006, memory: 52390, decode.loss_ce: 0.2383, decode.acc_seg: 90.4845, loss: 0.2383 +2023-03-04 21:52:41,695 - mmseg - INFO - Iter [19700/80000] lr: 7.500e-05, eta: 3:51:44, time: 0.175, data_time: 0.006, memory: 52390, decode.loss_ce: 0.2380, decode.acc_seg: 90.4813, loss: 0.2380 +2023-03-04 21:52:50,819 - mmseg - INFO - Iter [19750/80000] lr: 7.500e-05, eta: 3:51:20, time: 0.182, data_time: 0.006, memory: 52390, decode.loss_ce: 0.2409, decode.acc_seg: 90.2625, loss: 0.2409 +2023-03-04 21:52:59,862 - mmseg - INFO - Iter [19800/80000] lr: 7.500e-05, eta: 3:50:56, time: 0.181, data_time: 0.006, memory: 52390, decode.loss_ce: 0.2387, decode.acc_seg: 90.5107, loss: 0.2387 +2023-03-04 21:53:08,740 - mmseg - INFO - Iter [19850/80000] lr: 7.500e-05, eta: 3:50:31, time: 0.178, data_time: 0.006, memory: 52390, decode.loss_ce: 0.2477, decode.acc_seg: 90.0089, loss: 0.2477 +2023-03-04 21:53:17,305 - mmseg - INFO - Iter [19900/80000] lr: 7.500e-05, eta: 3:50:05, time: 0.171, data_time: 0.007, memory: 52390, decode.loss_ce: 0.2424, decode.acc_seg: 90.2224, loss: 0.2424 +2023-03-04 21:53:26,192 - mmseg - INFO - Iter [19950/80000] lr: 7.500e-05, eta: 3:49:40, time: 0.178, data_time: 0.007, memory: 52390, decode.loss_ce: 0.2433, decode.acc_seg: 90.2791, loss: 0.2433 +2023-03-04 21:53:37,435 - mmseg - INFO - Exp name: ablation_segformer_mit_b2_segformer_head_unet_fc_single_step_ade_pretrained_freeze_embed_80k_ade20k151_logits.py +2023-03-04 21:53:37,435 - mmseg - INFO - Iter [20000/80000] lr: 7.500e-05, eta: 3:49:28, time: 0.225, data_time: 0.056, memory: 52390, decode.loss_ce: 0.2351, decode.acc_seg: 90.3959, loss: 0.2351 +2023-03-04 21:53:46,092 - mmseg - INFO - Iter [20050/80000] lr: 3.750e-05, eta: 3:49:02, time: 0.173, data_time: 0.007, memory: 52390, decode.loss_ce: 0.2247, decode.acc_seg: 90.8940, loss: 0.2247 +2023-03-04 21:53:55,382 - mmseg - INFO - Iter [20100/80000] lr: 3.750e-05, eta: 3:48:40, time: 0.186, data_time: 0.007, memory: 52390, decode.loss_ce: 0.2330, decode.acc_seg: 90.5019, loss: 0.2330 +2023-03-04 21:54:04,037 - mmseg - INFO - Iter [20150/80000] lr: 3.750e-05, eta: 3:48:15, time: 0.173, data_time: 0.007, memory: 52390, decode.loss_ce: 0.2279, decode.acc_seg: 90.6772, loss: 0.2279 +2023-03-04 21:54:12,629 - mmseg - INFO - Iter [20200/80000] lr: 3.750e-05, eta: 3:47:49, time: 0.172, data_time: 0.007, memory: 52390, decode.loss_ce: 0.2238, decode.acc_seg: 90.9701, loss: 0.2238 +2023-03-04 21:54:21,285 - mmseg - INFO - Iter [20250/80000] lr: 3.750e-05, eta: 3:47:24, time: 0.173, data_time: 0.007, memory: 52390, decode.loss_ce: 0.2284, decode.acc_seg: 90.6964, loss: 0.2284 +2023-03-04 21:54:31,172 - mmseg - INFO - Iter [20300/80000] lr: 3.750e-05, eta: 3:47:06, time: 0.198, data_time: 0.006, memory: 52390, decode.loss_ce: 0.2208, decode.acc_seg: 91.1377, loss: 0.2208 +2023-03-04 21:54:40,081 - mmseg - INFO - Iter [20350/80000] lr: 3.750e-05, eta: 3:46:42, time: 0.178, data_time: 0.007, memory: 52390, decode.loss_ce: 0.2343, decode.acc_seg: 90.3907, loss: 0.2343 +2023-03-04 21:54:48,777 - mmseg - INFO - Iter [20400/80000] lr: 3.750e-05, eta: 3:46:18, time: 0.174, data_time: 0.007, memory: 52390, decode.loss_ce: 0.2324, decode.acc_seg: 90.6101, loss: 0.2324 +2023-03-04 21:54:57,760 - mmseg - INFO - Iter [20450/80000] lr: 3.750e-05, eta: 3:45:55, time: 0.180, data_time: 0.007, memory: 52390, decode.loss_ce: 0.2344, decode.acc_seg: 90.5622, loss: 0.2344 +2023-03-04 21:55:06,604 - mmseg - INFO - Iter [20500/80000] lr: 3.750e-05, eta: 3:45:31, time: 0.177, data_time: 0.006, memory: 52390, decode.loss_ce: 0.2320, decode.acc_seg: 90.5129, loss: 0.2320 +2023-03-04 21:55:15,513 - mmseg - INFO - Iter [20550/80000] lr: 3.750e-05, eta: 3:45:08, time: 0.178, data_time: 0.006, memory: 52390, decode.loss_ce: 0.2279, decode.acc_seg: 90.6911, loss: 0.2279 +2023-03-04 21:55:24,218 - mmseg - INFO - Iter [20600/80000] lr: 3.750e-05, eta: 3:44:44, time: 0.174, data_time: 0.007, memory: 52390, decode.loss_ce: 0.2298, decode.acc_seg: 90.6372, loss: 0.2298 +2023-03-04 21:55:35,811 - mmseg - INFO - Iter [20650/80000] lr: 3.750e-05, eta: 3:44:34, time: 0.232, data_time: 0.054, memory: 52390, decode.loss_ce: 0.2322, decode.acc_seg: 90.5811, loss: 0.2322 +2023-03-04 21:55:44,752 - mmseg - INFO - Iter [20700/80000] lr: 3.750e-05, eta: 3:44:12, time: 0.179, data_time: 0.007, memory: 52390, decode.loss_ce: 0.2239, decode.acc_seg: 90.8512, loss: 0.2239 +2023-03-04 21:55:53,743 - mmseg - INFO - Iter [20750/80000] lr: 3.750e-05, eta: 3:43:49, time: 0.180, data_time: 0.007, memory: 52390, decode.loss_ce: 0.2308, decode.acc_seg: 90.5741, loss: 0.2308 +2023-03-04 21:56:02,862 - mmseg - INFO - Iter [20800/80000] lr: 3.750e-05, eta: 3:43:28, time: 0.183, data_time: 0.006, memory: 52390, decode.loss_ce: 0.2287, decode.acc_seg: 90.6064, loss: 0.2287 +2023-03-04 21:56:11,938 - mmseg - INFO - Iter [20850/80000] lr: 3.750e-05, eta: 3:43:06, time: 0.181, data_time: 0.006, memory: 52390, decode.loss_ce: 0.2235, decode.acc_seg: 90.8916, loss: 0.2235 +2023-03-04 21:56:21,300 - mmseg - INFO - Iter [20900/80000] lr: 3.750e-05, eta: 3:42:46, time: 0.187, data_time: 0.008, memory: 52390, decode.loss_ce: 0.2359, decode.acc_seg: 90.6776, loss: 0.2359 +2023-03-04 21:56:30,137 - mmseg - INFO - Iter [20950/80000] lr: 3.750e-05, eta: 3:42:23, time: 0.177, data_time: 0.007, memory: 52390, decode.loss_ce: 0.2200, decode.acc_seg: 91.0236, loss: 0.2200 +2023-03-04 21:56:38,736 - mmseg - INFO - Exp name: ablation_segformer_mit_b2_segformer_head_unet_fc_single_step_ade_pretrained_freeze_embed_80k_ade20k151_logits.py +2023-03-04 21:56:38,736 - mmseg - INFO - Iter [21000/80000] lr: 3.750e-05, eta: 3:42:00, time: 0.172, data_time: 0.006, memory: 52390, decode.loss_ce: 0.2372, decode.acc_seg: 90.3494, loss: 0.2372 +2023-03-04 21:56:47,859 - mmseg - INFO - Iter [21050/80000] lr: 3.750e-05, eta: 3:41:39, time: 0.182, data_time: 0.006, memory: 52390, decode.loss_ce: 0.2242, decode.acc_seg: 90.7723, loss: 0.2242 +2023-03-04 21:56:56,888 - mmseg - INFO - Iter [21100/80000] lr: 3.750e-05, eta: 3:41:17, time: 0.181, data_time: 0.007, memory: 52390, decode.loss_ce: 0.2303, decode.acc_seg: 90.6808, loss: 0.2303 +2023-03-04 21:57:05,522 - mmseg - INFO - Iter [21150/80000] lr: 3.750e-05, eta: 3:40:54, time: 0.173, data_time: 0.007, memory: 52390, decode.loss_ce: 0.2387, decode.acc_seg: 90.4564, loss: 0.2387 +2023-03-04 21:57:14,757 - mmseg - INFO - Iter [21200/80000] lr: 3.750e-05, eta: 3:40:34, time: 0.185, data_time: 0.007, memory: 52390, decode.loss_ce: 0.2334, decode.acc_seg: 90.6136, loss: 0.2334 +2023-03-04 21:57:23,744 - mmseg - INFO - Iter [21250/80000] lr: 3.750e-05, eta: 3:40:13, time: 0.180, data_time: 0.006, memory: 52390, decode.loss_ce: 0.2279, decode.acc_seg: 90.6662, loss: 0.2279 +2023-03-04 21:57:35,106 - mmseg - INFO - Iter [21300/80000] lr: 3.750e-05, eta: 3:40:02, time: 0.227, data_time: 0.053, memory: 52390, decode.loss_ce: 0.2134, decode.acc_seg: 91.2841, loss: 0.2134 +2023-03-04 21:57:44,254 - mmseg - INFO - Iter [21350/80000] lr: 3.750e-05, eta: 3:39:41, time: 0.183, data_time: 0.006, memory: 52390, decode.loss_ce: 0.2263, decode.acc_seg: 90.8244, loss: 0.2263 +2023-03-04 21:57:53,542 - mmseg - INFO - Iter [21400/80000] lr: 3.750e-05, eta: 3:39:22, time: 0.186, data_time: 0.006, memory: 52390, decode.loss_ce: 0.2228, decode.acc_seg: 90.8622, loss: 0.2228 +2023-03-04 21:58:02,774 - mmseg - INFO - Iter [21450/80000] lr: 3.750e-05, eta: 3:39:02, time: 0.185, data_time: 0.007, memory: 52390, decode.loss_ce: 0.2321, decode.acc_seg: 90.8150, loss: 0.2321 +2023-03-04 21:58:11,636 - mmseg - INFO - Iter [21500/80000] lr: 3.750e-05, eta: 3:38:40, time: 0.177, data_time: 0.006, memory: 52390, decode.loss_ce: 0.2238, decode.acc_seg: 90.9510, loss: 0.2238 +2023-03-04 21:58:20,899 - mmseg - INFO - Iter [21550/80000] lr: 3.750e-05, eta: 3:38:21, time: 0.185, data_time: 0.006, memory: 52390, decode.loss_ce: 0.2316, decode.acc_seg: 90.6954, loss: 0.2316 +2023-03-04 21:58:30,167 - mmseg - INFO - Iter [21600/80000] lr: 3.750e-05, eta: 3:38:01, time: 0.185, data_time: 0.007, memory: 52390, decode.loss_ce: 0.2371, decode.acc_seg: 90.4047, loss: 0.2371 +2023-03-04 21:58:38,908 - mmseg - INFO - Iter [21650/80000] lr: 3.750e-05, eta: 3:37:39, time: 0.175, data_time: 0.006, memory: 52390, decode.loss_ce: 0.2475, decode.acc_seg: 90.0897, loss: 0.2475 +2023-03-04 21:58:47,623 - mmseg - INFO - Iter [21700/80000] lr: 3.750e-05, eta: 3:37:18, time: 0.174, data_time: 0.006, memory: 52390, decode.loss_ce: 0.2286, decode.acc_seg: 90.7269, loss: 0.2286 +2023-03-04 21:58:56,519 - mmseg - INFO - Iter [21750/80000] lr: 3.750e-05, eta: 3:36:57, time: 0.178, data_time: 0.007, memory: 52390, decode.loss_ce: 0.2329, decode.acc_seg: 90.5526, loss: 0.2329 +2023-03-04 21:59:05,288 - mmseg - INFO - Iter [21800/80000] lr: 3.750e-05, eta: 3:36:35, time: 0.175, data_time: 0.007, memory: 52390, decode.loss_ce: 0.2291, decode.acc_seg: 90.6981, loss: 0.2291 +2023-03-04 21:59:14,159 - mmseg - INFO - Iter [21850/80000] lr: 3.750e-05, eta: 3:36:15, time: 0.177, data_time: 0.006, memory: 52390, decode.loss_ce: 0.2230, decode.acc_seg: 90.7660, loss: 0.2230 +2023-03-04 21:59:25,357 - mmseg - INFO - Iter [21900/80000] lr: 3.750e-05, eta: 3:36:04, time: 0.224, data_time: 0.054, memory: 52390, decode.loss_ce: 0.2330, decode.acc_seg: 90.5109, loss: 0.2330 +2023-03-04 21:59:34,103 - mmseg - INFO - Iter [21950/80000] lr: 3.750e-05, eta: 3:35:42, time: 0.175, data_time: 0.006, memory: 52390, decode.loss_ce: 0.2203, decode.acc_seg: 91.2207, loss: 0.2203 +2023-03-04 21:59:43,046 - mmseg - INFO - Exp name: ablation_segformer_mit_b2_segformer_head_unet_fc_single_step_ade_pretrained_freeze_embed_80k_ade20k151_logits.py +2023-03-04 21:59:43,046 - mmseg - INFO - Iter [22000/80000] lr: 3.750e-05, eta: 3:35:22, time: 0.179, data_time: 0.006, memory: 52390, decode.loss_ce: 0.2288, decode.acc_seg: 90.7427, loss: 0.2288 +2023-03-04 21:59:51,592 - mmseg - INFO - Iter [22050/80000] lr: 3.750e-05, eta: 3:35:00, time: 0.171, data_time: 0.007, memory: 52390, decode.loss_ce: 0.2357, decode.acc_seg: 90.4073, loss: 0.2357 +2023-03-04 22:00:00,744 - mmseg - INFO - Iter [22100/80000] lr: 3.750e-05, eta: 3:34:41, time: 0.183, data_time: 0.007, memory: 52390, decode.loss_ce: 0.2241, decode.acc_seg: 90.9299, loss: 0.2241 +2023-03-04 22:00:10,075 - mmseg - INFO - Iter [22150/80000] lr: 3.750e-05, eta: 3:34:23, time: 0.187, data_time: 0.007, memory: 52390, decode.loss_ce: 0.2235, decode.acc_seg: 91.0735, loss: 0.2235 +2023-03-04 22:00:18,799 - mmseg - INFO - Iter [22200/80000] lr: 3.750e-05, eta: 3:34:02, time: 0.174, data_time: 0.007, memory: 52390, decode.loss_ce: 0.2345, decode.acc_seg: 90.5477, loss: 0.2345 +2023-03-04 22:00:27,914 - mmseg - INFO - Iter [22250/80000] lr: 3.750e-05, eta: 3:33:43, time: 0.182, data_time: 0.007, memory: 52390, decode.loss_ce: 0.2288, decode.acc_seg: 90.8522, loss: 0.2288 +2023-03-04 22:00:36,733 - mmseg - INFO - Iter [22300/80000] lr: 3.750e-05, eta: 3:33:22, time: 0.176, data_time: 0.006, memory: 52390, decode.loss_ce: 0.2220, decode.acc_seg: 90.9620, loss: 0.2220 +2023-03-04 22:00:45,457 - mmseg - INFO - Iter [22350/80000] lr: 3.750e-05, eta: 3:33:02, time: 0.174, data_time: 0.006, memory: 52390, decode.loss_ce: 0.2288, decode.acc_seg: 90.6528, loss: 0.2288 +2023-03-04 22:00:54,284 - mmseg - INFO - Iter [22400/80000] lr: 3.750e-05, eta: 3:32:41, time: 0.177, data_time: 0.006, memory: 52390, decode.loss_ce: 0.2334, decode.acc_seg: 90.5380, loss: 0.2334 +2023-03-04 22:01:03,019 - mmseg - INFO - Iter [22450/80000] lr: 3.750e-05, eta: 3:32:21, time: 0.175, data_time: 0.006, memory: 52390, decode.loss_ce: 0.2261, decode.acc_seg: 90.8577, loss: 0.2261 +2023-03-04 22:01:12,016 - mmseg - INFO - Iter [22500/80000] lr: 3.750e-05, eta: 3:32:02, time: 0.180, data_time: 0.007, memory: 52390, decode.loss_ce: 0.2266, decode.acc_seg: 90.6496, loss: 0.2266 +2023-03-04 22:01:23,690 - mmseg - INFO - Iter [22550/80000] lr: 3.750e-05, eta: 3:31:53, time: 0.233, data_time: 0.053, memory: 52390, decode.loss_ce: 0.2267, decode.acc_seg: 90.7438, loss: 0.2267 +2023-03-04 22:01:32,374 - mmseg - INFO - Iter [22600/80000] lr: 3.750e-05, eta: 3:31:33, time: 0.174, data_time: 0.006, memory: 52390, decode.loss_ce: 0.2401, decode.acc_seg: 90.3623, loss: 0.2401 +2023-03-04 22:01:41,574 - mmseg - INFO - Iter [22650/80000] lr: 3.750e-05, eta: 3:31:14, time: 0.184, data_time: 0.006, memory: 52390, decode.loss_ce: 0.2404, decode.acc_seg: 90.3277, loss: 0.2404 +2023-03-04 22:01:51,092 - mmseg - INFO - Iter [22700/80000] lr: 3.750e-05, eta: 3:30:57, time: 0.190, data_time: 0.006, memory: 52390, decode.loss_ce: 0.2297, decode.acc_seg: 90.7354, loss: 0.2297 +2023-03-04 22:01:59,926 - mmseg - INFO - Iter [22750/80000] lr: 3.750e-05, eta: 3:30:38, time: 0.177, data_time: 0.006, memory: 52390, decode.loss_ce: 0.2285, decode.acc_seg: 90.6680, loss: 0.2285 +2023-03-04 22:02:08,916 - mmseg - INFO - Iter [22800/80000] lr: 3.750e-05, eta: 3:30:19, time: 0.180, data_time: 0.006, memory: 52390, decode.loss_ce: 0.2289, decode.acc_seg: 90.6487, loss: 0.2289 +2023-03-04 22:02:17,651 - mmseg - INFO - Iter [22850/80000] lr: 3.750e-05, eta: 3:29:59, time: 0.175, data_time: 0.006, memory: 52390, decode.loss_ce: 0.2247, decode.acc_seg: 90.9414, loss: 0.2247 +2023-03-04 22:02:26,506 - mmseg - INFO - Iter [22900/80000] lr: 3.750e-05, eta: 3:29:40, time: 0.177, data_time: 0.006, memory: 52390, decode.loss_ce: 0.2189, decode.acc_seg: 90.7966, loss: 0.2189 +2023-03-04 22:02:35,245 - mmseg - INFO - Iter [22950/80000] lr: 3.750e-05, eta: 3:29:20, time: 0.175, data_time: 0.006, memory: 52390, decode.loss_ce: 0.2176, decode.acc_seg: 91.1516, loss: 0.2176 +2023-03-04 22:02:43,941 - mmseg - INFO - Exp name: ablation_segformer_mit_b2_segformer_head_unet_fc_single_step_ade_pretrained_freeze_embed_80k_ade20k151_logits.py +2023-03-04 22:02:43,941 - mmseg - INFO - Iter [23000/80000] lr: 3.750e-05, eta: 3:29:00, time: 0.174, data_time: 0.006, memory: 52390, decode.loss_ce: 0.2290, decode.acc_seg: 90.8727, loss: 0.2290 +2023-03-04 22:02:52,529 - mmseg - INFO - Iter [23050/80000] lr: 3.750e-05, eta: 3:28:40, time: 0.172, data_time: 0.006, memory: 52390, decode.loss_ce: 0.2183, decode.acc_seg: 91.1977, loss: 0.2183 +2023-03-04 22:03:01,252 - mmseg - INFO - Iter [23100/80000] lr: 3.750e-05, eta: 3:28:20, time: 0.174, data_time: 0.006, memory: 52390, decode.loss_ce: 0.2291, decode.acc_seg: 90.8125, loss: 0.2291 +2023-03-04 22:03:12,621 - mmseg - INFO - Iter [23150/80000] lr: 3.750e-05, eta: 3:28:11, time: 0.227, data_time: 0.055, memory: 52390, decode.loss_ce: 0.2208, decode.acc_seg: 90.9941, loss: 0.2208 +2023-03-04 22:03:21,549 - mmseg - INFO - Iter [23200/80000] lr: 3.750e-05, eta: 3:27:52, time: 0.179, data_time: 0.006, memory: 52390, decode.loss_ce: 0.2355, decode.acc_seg: 90.3589, loss: 0.2355 +2023-03-04 22:03:30,717 - mmseg - INFO - Iter [23250/80000] lr: 3.750e-05, eta: 3:27:34, time: 0.183, data_time: 0.006, memory: 52390, decode.loss_ce: 0.2315, decode.acc_seg: 90.7375, loss: 0.2315 +2023-03-04 22:03:39,286 - mmseg - INFO - Iter [23300/80000] lr: 3.750e-05, eta: 3:27:15, time: 0.171, data_time: 0.006, memory: 52390, decode.loss_ce: 0.2226, decode.acc_seg: 90.9246, loss: 0.2226 +2023-03-04 22:03:48,336 - mmseg - INFO - Iter [23350/80000] lr: 3.750e-05, eta: 3:26:57, time: 0.181, data_time: 0.006, memory: 52390, decode.loss_ce: 0.2175, decode.acc_seg: 91.1108, loss: 0.2175 +2023-03-04 22:03:56,962 - mmseg - INFO - Iter [23400/80000] lr: 3.750e-05, eta: 3:26:37, time: 0.173, data_time: 0.007, memory: 52390, decode.loss_ce: 0.2286, decode.acc_seg: 90.7066, loss: 0.2286 +2023-03-04 22:04:06,042 - mmseg - INFO - Iter [23450/80000] lr: 3.750e-05, eta: 3:26:19, time: 0.182, data_time: 0.006, memory: 52390, decode.loss_ce: 0.2260, decode.acc_seg: 90.9040, loss: 0.2260 +2023-03-04 22:04:14,817 - mmseg - INFO - Iter [23500/80000] lr: 3.750e-05, eta: 3:26:00, time: 0.175, data_time: 0.006, memory: 52390, decode.loss_ce: 0.2270, decode.acc_seg: 90.7285, loss: 0.2270 +2023-03-04 22:04:23,535 - mmseg - INFO - Iter [23550/80000] lr: 3.750e-05, eta: 3:25:41, time: 0.175, data_time: 0.007, memory: 52390, decode.loss_ce: 0.2269, decode.acc_seg: 90.8139, loss: 0.2269 +2023-03-04 22:04:32,331 - mmseg - INFO - Iter [23600/80000] lr: 3.750e-05, eta: 3:25:23, time: 0.176, data_time: 0.006, memory: 52390, decode.loss_ce: 0.2308, decode.acc_seg: 90.6950, loss: 0.2308 +2023-03-04 22:04:41,060 - mmseg - INFO - Iter [23650/80000] lr: 3.750e-05, eta: 3:25:04, time: 0.175, data_time: 0.006, memory: 52390, decode.loss_ce: 0.2231, decode.acc_seg: 90.8981, loss: 0.2231 +2023-03-04 22:04:49,767 - mmseg - INFO - Iter [23700/80000] lr: 3.750e-05, eta: 3:24:45, time: 0.174, data_time: 0.006, memory: 52390, decode.loss_ce: 0.2322, decode.acc_seg: 90.5128, loss: 0.2322 +2023-03-04 22:04:58,427 - mmseg - INFO - Iter [23750/80000] lr: 3.750e-05, eta: 3:24:26, time: 0.173, data_time: 0.006, memory: 52390, decode.loss_ce: 0.2353, decode.acc_seg: 90.4130, loss: 0.2353 +2023-03-04 22:05:09,755 - mmseg - INFO - Iter [23800/80000] lr: 3.750e-05, eta: 3:24:17, time: 0.227, data_time: 0.055, memory: 52390, decode.loss_ce: 0.2275, decode.acc_seg: 90.6399, loss: 0.2275 +2023-03-04 22:05:19,147 - mmseg - INFO - Iter [23850/80000] lr: 3.750e-05, eta: 3:24:00, time: 0.188, data_time: 0.006, memory: 52390, decode.loss_ce: 0.2228, decode.acc_seg: 90.8473, loss: 0.2228 +2023-03-04 22:05:27,972 - mmseg - INFO - Iter [23900/80000] lr: 3.750e-05, eta: 3:23:42, time: 0.177, data_time: 0.007, memory: 52390, decode.loss_ce: 0.2250, decode.acc_seg: 90.8478, loss: 0.2250 +2023-03-04 22:05:36,775 - mmseg - INFO - Iter [23950/80000] lr: 3.750e-05, eta: 3:23:24, time: 0.176, data_time: 0.006, memory: 52390, decode.loss_ce: 0.2316, decode.acc_seg: 90.8318, loss: 0.2316 +2023-03-04 22:05:45,549 - mmseg - INFO - Saving checkpoint at 24000 iterations +2023-03-04 22:05:46,168 - mmseg - INFO - Exp name: ablation_segformer_mit_b2_segformer_head_unet_fc_single_step_ade_pretrained_freeze_embed_80k_ade20k151_logits.py +2023-03-04 22:05:46,168 - mmseg - INFO - Iter [24000/80000] lr: 3.750e-05, eta: 3:23:08, time: 0.188, data_time: 0.007, memory: 52390, decode.loss_ce: 0.2323, decode.acc_seg: 90.5718, loss: 0.2323 +2023-03-04 22:06:02,057 - mmseg - INFO - per class results: +2023-03-04 22:06:02,063 - mmseg - INFO - ++---------------------+-------+-------+ +| Class | IoU | Acc | ++---------------------+-------+-------+ +| background | nan | nan | +| wall | 76.05 | 89.69 | +| building | 80.55 | 92.92 | +| sky | 94.18 | 96.89 | +| floor | 80.79 | 91.07 | +| tree | 73.1 | 86.96 | +| ceiling | 83.98 | 91.55 | +| road | 81.81 | 89.66 | +| bed | 86.75 | 93.61 | +| windowpane | 58.94 | 79.78 | +| grass | 64.37 | 83.97 | +| cabinet | 59.41 | 74.04 | +| sidewalk | 62.69 | 75.61 | +| person | 77.64 | 91.43 | +| earth | 34.58 | 45.5 | +| door | 38.22 | 43.66 | +| table | 56.44 | 75.61 | +| mountain | 55.8 | 71.29 | +| plant | 49.47 | 61.42 | +| curtain | 72.71 | 83.39 | +| chair | 52.76 | 67.75 | +| car | 81.15 | 90.14 | +| water | 57.87 | 76.1 | +| painting | 69.5 | 82.73 | +| sofa | 63.17 | 78.93 | +| shelf | 41.66 | 65.73 | +| house | 36.22 | 44.43 | +| sea | 60.99 | 75.85 | +| mirror | 58.23 | 63.29 | +| rug | 59.89 | 65.56 | +| field | 29.45 | 45.27 | +| armchair | 35.3 | 51.78 | +| seat | 64.79 | 82.38 | +| fence | 41.42 | 53.69 | +| desk | 43.83 | 68.07 | +| rock | 36.1 | 57.39 | +| wardrobe | 56.5 | 67.44 | +| lamp | 58.34 | 71.83 | +| bathtub | 75.26 | 80.94 | +| railing | 31.98 | 42.63 | +| cushion | 53.98 | 66.8 | +| base | 23.34 | 29.39 | +| box | 22.18 | 31.8 | +| column | 41.0 | 46.32 | +| signboard | 35.34 | 45.38 | +| chest of drawers | 37.1 | 53.49 | +| counter | 31.52 | 39.56 | +| sand | 38.07 | 55.73 | +| sink | 64.47 | 73.85 | +| skyscraper | 49.18 | 60.86 | +| fireplace | 72.72 | 82.38 | +| refrigerator | 70.03 | 79.44 | +| grandstand | 45.58 | 69.57 | +| path | 23.28 | 34.54 | +| stairs | 33.7 | 44.07 | +| runway | 68.72 | 88.64 | +| case | 44.18 | 49.07 | +| pool table | 90.36 | 92.11 | +| pillow | 57.87 | 69.06 | +| screen door | 67.15 | 76.33 | +| stairway | 26.13 | 34.17 | +| river | 11.39 | 21.41 | +| bridge | 34.82 | 40.5 | +| bookcase | 42.65 | 59.25 | +| blind | 36.05 | 39.81 | +| coffee table | 51.49 | 78.47 | +| toilet | 80.63 | 89.9 | +| flower | 37.65 | 54.87 | +| book | 42.03 | 66.84 | +| hill | 13.64 | 22.05 | +| bench | 36.92 | 53.94 | +| countertop | 50.83 | 67.5 | +| stove | 68.28 | 77.6 | +| palm | 47.79 | 63.1 | +| kitchen island | 33.45 | 45.57 | +| computer | 59.01 | 69.73 | +| swivel chair | 42.94 | 58.78 | +| boat | 65.34 | 81.09 | +| bar | 21.26 | 28.06 | +| arcade machine | 61.98 | 62.82 | +| hovel | 32.12 | 34.78 | +| bus | 75.9 | 88.94 | +| towel | 62.09 | 68.73 | +| light | 44.89 | 49.92 | +| truck | 16.72 | 22.86 | +| tower | 7.54 | 11.87 | +| chandelier | 61.91 | 80.24 | +| awning | 17.52 | 19.24 | +| streetlight | 21.91 | 30.77 | +| booth | 42.45 | 44.79 | +| television receiver | 64.03 | 73.49 | +| airplane | 55.08 | 61.38 | +| dirt track | 13.73 | 42.93 | +| apparel | 29.93 | 46.51 | +| pole | 8.02 | 9.02 | +| land | 2.28 | 2.85 | +| bannister | 7.58 | 9.54 | +| escalator | 22.67 | 24.34 | +| ottoman | 41.53 | 56.07 | +| bottle | 33.5 | 57.27 | +| buffet | 41.42 | 48.85 | +| poster | 24.97 | 36.3 | +| stage | 12.34 | 15.93 | +| van | 37.51 | 56.48 | +| ship | 73.34 | 96.87 | +| fountain | 13.18 | 13.43 | +| conveyer belt | 82.85 | 87.69 | +| canopy | 23.11 | 24.33 | +| washer | 76.91 | 78.9 | +| plaything | 21.76 | 34.48 | +| swimming pool | 66.25 | 81.7 | +| stool | 39.18 | 54.73 | +| barrel | 37.33 | 59.46 | +| basket | 21.54 | 31.25 | +| waterfall | 51.31 | 67.39 | +| tent | 93.04 | 97.75 | +| bag | 10.55 | 12.41 | +| minibike | 61.39 | 74.11 | +| cradle | 82.18 | 95.6 | +| oven | 45.91 | 53.62 | +| ball | 40.58 | 47.3 | +| food | 47.66 | 56.63 | +| step | 8.94 | 10.12 | +| tank | 50.79 | 55.2 | +| trade name | 17.03 | 18.14 | +| microwave | 76.07 | 80.25 | +| pot | 29.24 | 34.68 | +| animal | 52.01 | 56.62 | +| bicycle | 52.49 | 67.97 | +| lake | 56.62 | 62.36 | +| dishwasher | 63.28 | 75.04 | +| screen | 64.92 | 86.56 | +| blanket | 15.4 | 17.39 | +| sculpture | 55.6 | 77.58 | +| hood | 50.5 | 52.06 | +| sconce | 37.44 | 43.14 | +| vase | 29.55 | 51.64 | +| traffic light | 23.81 | 30.05 | +| tray | 4.27 | 6.68 | +| ashcan | 36.01 | 46.19 | +| fan | 54.44 | 63.64 | +| pier | 43.34 | 52.34 | +| crt screen | 3.87 | 8.77 | +| plate | 45.27 | 54.55 | +| monitor | 19.17 | 22.72 | +| bulletin board | 27.77 | 32.24 | +| shower | 1.3 | 3.54 | +| radiator | 57.3 | 63.99 | +| glass | 7.28 | 7.57 | +| clock | 30.25 | 31.47 | +| flag | 30.1 | 31.93 | ++---------------------+-------+-------+ +2023-03-04 22:06:02,063 - mmseg - INFO - Summary: +2023-03-04 22:06:02,063 - mmseg - INFO - ++-------+-------+-------+ +| aAcc | mIoU | mAcc | ++-------+-------+-------+ +| 81.84 | 45.91 | 56.39 | ++-------+-------+-------+ +2023-03-04 22:06:02,083 - mmseg - INFO - The previous best checkpoint /mnt/petrelfs/laizeqiang/mmseg-baseline/work_dirs2/ablation_segformer_mit_b2_segformer_head_unet_fc_single_step_ade_pretrained_freeze_embed_80k_ade20k151_logits/best_mIoU_iter_16000.pth was removed +2023-03-04 22:06:02,664 - mmseg - INFO - Now best checkpoint is saved as best_mIoU_iter_24000.pth. +2023-03-04 22:06:02,664 - mmseg - INFO - Best mIoU is 0.4591 at 24000 iter. +2023-03-04 22:06:02,664 - mmseg - INFO - Exp name: ablation_segformer_mit_b2_segformer_head_unet_fc_single_step_ade_pretrained_freeze_embed_80k_ade20k151_logits.py +2023-03-04 22:06:02,665 - mmseg - INFO - Iter(val) [250] aAcc: 0.8184, mIoU: 0.4591, mAcc: 0.5639, IoU.background: nan, IoU.wall: 0.7605, IoU.building: 0.8055, IoU.sky: 0.9418, IoU.floor: 0.8079, IoU.tree: 0.7310, IoU.ceiling: 0.8398, IoU.road: 0.8181, IoU.bed : 0.8675, IoU.windowpane: 0.5894, IoU.grass: 0.6437, IoU.cabinet: 0.5941, IoU.sidewalk: 0.6269, IoU.person: 0.7764, IoU.earth: 0.3458, IoU.door: 0.3822, IoU.table: 0.5644, IoU.mountain: 0.5580, IoU.plant: 0.4947, IoU.curtain: 0.7271, IoU.chair: 0.5276, IoU.car: 0.8115, IoU.water: 0.5787, IoU.painting: 0.6950, IoU.sofa: 0.6317, IoU.shelf: 0.4166, IoU.house: 0.3622, IoU.sea: 0.6099, IoU.mirror: 0.5823, IoU.rug: 0.5989, IoU.field: 0.2945, IoU.armchair: 0.3530, IoU.seat: 0.6479, IoU.fence: 0.4142, IoU.desk: 0.4383, IoU.rock: 0.3610, IoU.wardrobe: 0.5650, IoU.lamp: 0.5834, IoU.bathtub: 0.7526, IoU.railing: 0.3198, IoU.cushion: 0.5398, IoU.base: 0.2334, IoU.box: 0.2218, IoU.column: 0.4100, IoU.signboard: 0.3534, IoU.chest of drawers: 0.3710, IoU.counter: 0.3152, IoU.sand: 0.3807, IoU.sink: 0.6447, IoU.skyscraper: 0.4918, IoU.fireplace: 0.7272, IoU.refrigerator: 0.7003, IoU.grandstand: 0.4558, IoU.path: 0.2328, IoU.stairs: 0.3370, IoU.runway: 0.6872, IoU.case: 0.4418, IoU.pool table: 0.9036, IoU.pillow: 0.5787, IoU.screen door: 0.6715, IoU.stairway: 0.2613, IoU.river: 0.1139, IoU.bridge: 0.3482, IoU.bookcase: 0.4265, IoU.blind: 0.3605, IoU.coffee table: 0.5149, IoU.toilet: 0.8063, IoU.flower: 0.3765, IoU.book: 0.4203, IoU.hill: 0.1364, IoU.bench: 0.3692, IoU.countertop: 0.5083, IoU.stove: 0.6828, IoU.palm: 0.4779, IoU.kitchen island: 0.3345, IoU.computer: 0.5901, IoU.swivel chair: 0.4294, IoU.boat: 0.6534, IoU.bar: 0.2126, IoU.arcade machine: 0.6198, IoU.hovel: 0.3212, IoU.bus: 0.7590, IoU.towel: 0.6209, IoU.light: 0.4489, IoU.truck: 0.1672, IoU.tower: 0.0754, IoU.chandelier: 0.6191, IoU.awning: 0.1752, IoU.streetlight: 0.2191, IoU.booth: 0.4245, IoU.television receiver: 0.6403, IoU.airplane: 0.5508, IoU.dirt track: 0.1373, IoU.apparel: 0.2993, IoU.pole: 0.0802, IoU.land: 0.0228, IoU.bannister: 0.0758, IoU.escalator: 0.2267, IoU.ottoman: 0.4153, IoU.bottle: 0.3350, IoU.buffet: 0.4142, IoU.poster: 0.2497, IoU.stage: 0.1234, IoU.van: 0.3751, IoU.ship: 0.7334, IoU.fountain: 0.1318, IoU.conveyer belt: 0.8285, IoU.canopy: 0.2311, IoU.washer: 0.7691, IoU.plaything: 0.2176, IoU.swimming pool: 0.6625, IoU.stool: 0.3918, IoU.barrel: 0.3733, IoU.basket: 0.2154, IoU.waterfall: 0.5131, IoU.tent: 0.9304, IoU.bag: 0.1055, IoU.minibike: 0.6139, IoU.cradle: 0.8218, IoU.oven: 0.4591, IoU.ball: 0.4058, IoU.food: 0.4766, IoU.step: 0.0894, IoU.tank: 0.5079, IoU.trade name: 0.1703, IoU.microwave: 0.7607, IoU.pot: 0.2924, IoU.animal: 0.5201, IoU.bicycle: 0.5249, IoU.lake: 0.5662, IoU.dishwasher: 0.6328, IoU.screen: 0.6492, IoU.blanket: 0.1540, IoU.sculpture: 0.5560, IoU.hood: 0.5050, IoU.sconce: 0.3744, IoU.vase: 0.2955, IoU.traffic light: 0.2381, IoU.tray: 0.0427, IoU.ashcan: 0.3601, IoU.fan: 0.5444, IoU.pier: 0.4334, IoU.crt screen: 0.0387, IoU.plate: 0.4527, IoU.monitor: 0.1917, IoU.bulletin board: 0.2777, IoU.shower: 0.0130, IoU.radiator: 0.5730, IoU.glass: 0.0728, IoU.clock: 0.3025, IoU.flag: 0.3010, Acc.background: nan, Acc.wall: 0.8969, Acc.building: 0.9292, Acc.sky: 0.9689, Acc.floor: 0.9107, Acc.tree: 0.8696, Acc.ceiling: 0.9155, Acc.road: 0.8966, Acc.bed : 0.9361, Acc.windowpane: 0.7978, Acc.grass: 0.8397, Acc.cabinet: 0.7404, Acc.sidewalk: 0.7561, Acc.person: 0.9143, Acc.earth: 0.4550, Acc.door: 0.4366, Acc.table: 0.7561, Acc.mountain: 0.7129, Acc.plant: 0.6142, Acc.curtain: 0.8339, Acc.chair: 0.6775, Acc.car: 0.9014, Acc.water: 0.7610, Acc.painting: 0.8273, Acc.sofa: 0.7893, Acc.shelf: 0.6573, Acc.house: 0.4443, Acc.sea: 0.7585, Acc.mirror: 0.6329, Acc.rug: 0.6556, Acc.field: 0.4527, Acc.armchair: 0.5178, Acc.seat: 0.8238, Acc.fence: 0.5369, Acc.desk: 0.6807, Acc.rock: 0.5739, Acc.wardrobe: 0.6744, Acc.lamp: 0.7183, Acc.bathtub: 0.8094, Acc.railing: 0.4263, Acc.cushion: 0.6680, Acc.base: 0.2939, Acc.box: 0.3180, Acc.column: 0.4632, Acc.signboard: 0.4538, Acc.chest of drawers: 0.5349, Acc.counter: 0.3956, Acc.sand: 0.5573, Acc.sink: 0.7385, Acc.skyscraper: 0.6086, Acc.fireplace: 0.8238, Acc.refrigerator: 0.7944, Acc.grandstand: 0.6957, Acc.path: 0.3454, Acc.stairs: 0.4407, Acc.runway: 0.8864, Acc.case: 0.4907, Acc.pool table: 0.9211, Acc.pillow: 0.6906, Acc.screen door: 0.7633, Acc.stairway: 0.3417, Acc.river: 0.2141, Acc.bridge: 0.4050, Acc.bookcase: 0.5925, Acc.blind: 0.3981, Acc.coffee table: 0.7847, Acc.toilet: 0.8990, Acc.flower: 0.5487, Acc.book: 0.6684, Acc.hill: 0.2205, Acc.bench: 0.5394, Acc.countertop: 0.6750, Acc.stove: 0.7760, Acc.palm: 0.6310, Acc.kitchen island: 0.4557, Acc.computer: 0.6973, Acc.swivel chair: 0.5878, Acc.boat: 0.8109, Acc.bar: 0.2806, Acc.arcade machine: 0.6282, Acc.hovel: 0.3478, Acc.bus: 0.8894, Acc.towel: 0.6873, Acc.light: 0.4992, Acc.truck: 0.2286, Acc.tower: 0.1187, Acc.chandelier: 0.8024, Acc.awning: 0.1924, Acc.streetlight: 0.3077, Acc.booth: 0.4479, Acc.television receiver: 0.7349, Acc.airplane: 0.6138, Acc.dirt track: 0.4293, Acc.apparel: 0.4651, Acc.pole: 0.0902, Acc.land: 0.0285, Acc.bannister: 0.0954, Acc.escalator: 0.2434, Acc.ottoman: 0.5607, Acc.bottle: 0.5727, Acc.buffet: 0.4885, Acc.poster: 0.3630, Acc.stage: 0.1593, Acc.van: 0.5648, Acc.ship: 0.9687, Acc.fountain: 0.1343, Acc.conveyer belt: 0.8769, Acc.canopy: 0.2433, Acc.washer: 0.7890, Acc.plaything: 0.3448, Acc.swimming pool: 0.8170, Acc.stool: 0.5473, Acc.barrel: 0.5946, Acc.basket: 0.3125, Acc.waterfall: 0.6739, Acc.tent: 0.9775, Acc.bag: 0.1241, Acc.minibike: 0.7411, Acc.cradle: 0.9560, Acc.oven: 0.5362, Acc.ball: 0.4730, Acc.food: 0.5663, Acc.step: 0.1012, Acc.tank: 0.5520, Acc.trade name: 0.1814, Acc.microwave: 0.8025, Acc.pot: 0.3468, Acc.animal: 0.5662, Acc.bicycle: 0.6797, Acc.lake: 0.6236, Acc.dishwasher: 0.7504, Acc.screen: 0.8656, Acc.blanket: 0.1739, Acc.sculpture: 0.7758, Acc.hood: 0.5206, Acc.sconce: 0.4314, Acc.vase: 0.5164, Acc.traffic light: 0.3005, Acc.tray: 0.0668, Acc.ashcan: 0.4619, Acc.fan: 0.6364, Acc.pier: 0.5234, Acc.crt screen: 0.0877, Acc.plate: 0.5455, Acc.monitor: 0.2272, Acc.bulletin board: 0.3224, Acc.shower: 0.0354, Acc.radiator: 0.6399, Acc.glass: 0.0757, Acc.clock: 0.3147, Acc.flag: 0.3193 +2023-03-04 22:06:11,725 - mmseg - INFO - Iter [24050/80000] lr: 3.750e-05, eta: 3:23:48, time: 0.511, data_time: 0.337, memory: 52390, decode.loss_ce: 0.2271, decode.acc_seg: 90.8791, loss: 0.2271 +2023-03-04 22:06:20,964 - mmseg - INFO - Iter [24100/80000] lr: 3.750e-05, eta: 3:23:31, time: 0.185, data_time: 0.007, memory: 52390, decode.loss_ce: 0.2172, decode.acc_seg: 91.0624, loss: 0.2172 +2023-03-04 22:06:30,273 - mmseg - INFO - Iter [24150/80000] lr: 3.750e-05, eta: 3:23:15, time: 0.186, data_time: 0.006, memory: 52390, decode.loss_ce: 0.2285, decode.acc_seg: 90.6728, loss: 0.2285 +2023-03-04 22:06:38,859 - mmseg - INFO - Iter [24200/80000] lr: 3.750e-05, eta: 3:22:56, time: 0.172, data_time: 0.007, memory: 52390, decode.loss_ce: 0.2337, decode.acc_seg: 90.4080, loss: 0.2337 +2023-03-04 22:06:47,974 - mmseg - INFO - Iter [24250/80000] lr: 3.750e-05, eta: 3:22:39, time: 0.182, data_time: 0.007, memory: 52390, decode.loss_ce: 0.2264, decode.acc_seg: 90.9179, loss: 0.2264 +2023-03-04 22:06:57,601 - mmseg - INFO - Iter [24300/80000] lr: 3.750e-05, eta: 3:22:23, time: 0.193, data_time: 0.006, memory: 52390, decode.loss_ce: 0.2209, decode.acc_seg: 90.8872, loss: 0.2209 +2023-03-04 22:07:06,446 - mmseg - INFO - Iter [24350/80000] lr: 3.750e-05, eta: 3:22:06, time: 0.177, data_time: 0.006, memory: 52390, decode.loss_ce: 0.2250, decode.acc_seg: 91.0014, loss: 0.2250 +2023-03-04 22:07:15,388 - mmseg - INFO - Iter [24400/80000] lr: 3.750e-05, eta: 3:21:48, time: 0.179, data_time: 0.006, memory: 52390, decode.loss_ce: 0.2345, decode.acc_seg: 90.4250, loss: 0.2345 +2023-03-04 22:07:27,022 - mmseg - INFO - Iter [24450/80000] lr: 3.750e-05, eta: 3:21:40, time: 0.232, data_time: 0.056, memory: 52390, decode.loss_ce: 0.2271, decode.acc_seg: 90.7144, loss: 0.2271 +2023-03-04 22:07:35,860 - mmseg - INFO - Iter [24500/80000] lr: 3.750e-05, eta: 3:21:22, time: 0.177, data_time: 0.007, memory: 52390, decode.loss_ce: 0.2244, decode.acc_seg: 90.8669, loss: 0.2244 +2023-03-04 22:07:45,460 - mmseg - INFO - Iter [24550/80000] lr: 3.750e-05, eta: 3:21:07, time: 0.192, data_time: 0.007, memory: 52390, decode.loss_ce: 0.2236, decode.acc_seg: 90.8935, loss: 0.2236 +2023-03-04 22:07:54,595 - mmseg - INFO - Iter [24600/80000] lr: 3.750e-05, eta: 3:20:50, time: 0.183, data_time: 0.007, memory: 52390, decode.loss_ce: 0.2253, decode.acc_seg: 90.9530, loss: 0.2253 +2023-03-04 22:08:03,159 - mmseg - INFO - Iter [24650/80000] lr: 3.750e-05, eta: 3:20:31, time: 0.171, data_time: 0.006, memory: 52390, decode.loss_ce: 0.2222, decode.acc_seg: 91.0541, loss: 0.2222 +2023-03-04 22:08:11,674 - mmseg - INFO - Iter [24700/80000] lr: 3.750e-05, eta: 3:20:13, time: 0.170, data_time: 0.006, memory: 52390, decode.loss_ce: 0.2391, decode.acc_seg: 90.4759, loss: 0.2391 +2023-03-04 22:08:20,993 - mmseg - INFO - Iter [24750/80000] lr: 3.750e-05, eta: 3:19:57, time: 0.186, data_time: 0.006, memory: 52390, decode.loss_ce: 0.2293, decode.acc_seg: 90.7074, loss: 0.2293 +2023-03-04 22:08:30,117 - mmseg - INFO - Iter [24800/80000] lr: 3.750e-05, eta: 3:19:40, time: 0.182, data_time: 0.007, memory: 52390, decode.loss_ce: 0.2232, decode.acc_seg: 90.8891, loss: 0.2232 +2023-03-04 22:08:38,849 - mmseg - INFO - Iter [24850/80000] lr: 3.750e-05, eta: 3:19:22, time: 0.175, data_time: 0.007, memory: 52390, decode.loss_ce: 0.2356, decode.acc_seg: 90.5185, loss: 0.2356 +2023-03-04 22:08:47,706 - mmseg - INFO - Iter [24900/80000] lr: 3.750e-05, eta: 3:19:05, time: 0.177, data_time: 0.006, memory: 52390, decode.loss_ce: 0.2218, decode.acc_seg: 90.8613, loss: 0.2218 +2023-03-04 22:08:56,941 - mmseg - INFO - Iter [24950/80000] lr: 3.750e-05, eta: 3:18:49, time: 0.185, data_time: 0.007, memory: 52390, decode.loss_ce: 0.2200, decode.acc_seg: 90.8899, loss: 0.2200 +2023-03-04 22:09:06,650 - mmseg - INFO - Exp name: ablation_segformer_mit_b2_segformer_head_unet_fc_single_step_ade_pretrained_freeze_embed_80k_ade20k151_logits.py +2023-03-04 22:09:06,650 - mmseg - INFO - Iter [25000/80000] lr: 3.750e-05, eta: 3:18:35, time: 0.194, data_time: 0.007, memory: 52390, decode.loss_ce: 0.2363, decode.acc_seg: 90.5865, loss: 0.2363 +2023-03-04 22:09:17,763 - mmseg - INFO - Iter [25050/80000] lr: 3.750e-05, eta: 3:18:25, time: 0.222, data_time: 0.054, memory: 52390, decode.loss_ce: 0.2315, decode.acc_seg: 90.6250, loss: 0.2315 +2023-03-04 22:09:26,482 - mmseg - INFO - Iter [25100/80000] lr: 3.750e-05, eta: 3:18:07, time: 0.174, data_time: 0.006, memory: 52390, decode.loss_ce: 0.2244, decode.acc_seg: 91.0009, loss: 0.2244 +2023-03-04 22:09:35,725 - mmseg - INFO - Iter [25150/80000] lr: 3.750e-05, eta: 3:17:51, time: 0.185, data_time: 0.006, memory: 52390, decode.loss_ce: 0.2321, decode.acc_seg: 90.6282, loss: 0.2321 +2023-03-04 22:09:44,555 - mmseg - INFO - Iter [25200/80000] lr: 3.750e-05, eta: 3:17:34, time: 0.177, data_time: 0.006, memory: 52390, decode.loss_ce: 0.2296, decode.acc_seg: 90.6127, loss: 0.2296 +2023-03-04 22:09:53,802 - mmseg - INFO - Iter [25250/80000] lr: 3.750e-05, eta: 3:17:18, time: 0.185, data_time: 0.006, memory: 52390, decode.loss_ce: 0.2251, decode.acc_seg: 90.9308, loss: 0.2251 +2023-03-04 22:10:02,908 - mmseg - INFO - Iter [25300/80000] lr: 3.750e-05, eta: 3:17:02, time: 0.182, data_time: 0.007, memory: 52390, decode.loss_ce: 0.2223, decode.acc_seg: 91.0198, loss: 0.2223 +2023-03-04 22:10:11,947 - mmseg - INFO - Iter [25350/80000] lr: 3.750e-05, eta: 3:16:46, time: 0.181, data_time: 0.007, memory: 52390, decode.loss_ce: 0.2231, decode.acc_seg: 90.7354, loss: 0.2231 +2023-03-04 22:10:21,322 - mmseg - INFO - Iter [25400/80000] lr: 3.750e-05, eta: 3:16:30, time: 0.187, data_time: 0.007, memory: 52390, decode.loss_ce: 0.2231, decode.acc_seg: 91.0585, loss: 0.2231 +2023-03-04 22:10:30,377 - mmseg - INFO - Iter [25450/80000] lr: 3.750e-05, eta: 3:16:14, time: 0.181, data_time: 0.007, memory: 52390, decode.loss_ce: 0.2234, decode.acc_seg: 90.9460, loss: 0.2234 +2023-03-04 22:10:39,349 - mmseg - INFO - Iter [25500/80000] lr: 3.750e-05, eta: 3:15:58, time: 0.179, data_time: 0.006, memory: 52390, decode.loss_ce: 0.2287, decode.acc_seg: 90.7159, loss: 0.2287 +2023-03-04 22:10:48,387 - mmseg - INFO - Iter [25550/80000] lr: 3.750e-05, eta: 3:15:41, time: 0.181, data_time: 0.007, memory: 52390, decode.loss_ce: 0.2256, decode.acc_seg: 90.7539, loss: 0.2256 +2023-03-04 22:10:57,071 - mmseg - INFO - Iter [25600/80000] lr: 3.750e-05, eta: 3:15:24, time: 0.174, data_time: 0.006, memory: 52390, decode.loss_ce: 0.2163, decode.acc_seg: 91.1046, loss: 0.2163 +2023-03-04 22:11:05,737 - mmseg - INFO - Iter [25650/80000] lr: 3.750e-05, eta: 3:15:07, time: 0.173, data_time: 0.007, memory: 52390, decode.loss_ce: 0.2274, decode.acc_seg: 90.7404, loss: 0.2274 +2023-03-04 22:11:16,970 - mmseg - INFO - Iter [25700/80000] lr: 3.750e-05, eta: 3:14:58, time: 0.225, data_time: 0.052, memory: 52390, decode.loss_ce: 0.2332, decode.acc_seg: 90.4475, loss: 0.2332 +2023-03-04 22:11:26,014 - mmseg - INFO - Iter [25750/80000] lr: 3.750e-05, eta: 3:14:41, time: 0.181, data_time: 0.006, memory: 52390, decode.loss_ce: 0.2386, decode.acc_seg: 90.3401, loss: 0.2386 +2023-03-04 22:11:35,087 - mmseg - INFO - Iter [25800/80000] lr: 3.750e-05, eta: 3:14:26, time: 0.181, data_time: 0.006, memory: 52390, decode.loss_ce: 0.2300, decode.acc_seg: 90.9369, loss: 0.2300 +2023-03-04 22:11:44,065 - mmseg - INFO - Iter [25850/80000] lr: 3.750e-05, eta: 3:14:09, time: 0.180, data_time: 0.006, memory: 52390, decode.loss_ce: 0.2368, decode.acc_seg: 90.3931, loss: 0.2368 +2023-03-04 22:11:53,563 - mmseg - INFO - Iter [25900/80000] lr: 3.750e-05, eta: 3:13:55, time: 0.190, data_time: 0.007, memory: 52390, decode.loss_ce: 0.2222, decode.acc_seg: 91.0510, loss: 0.2222 +2023-03-04 22:12:02,369 - mmseg - INFO - Iter [25950/80000] lr: 3.750e-05, eta: 3:13:38, time: 0.176, data_time: 0.007, memory: 52390, decode.loss_ce: 0.2245, decode.acc_seg: 90.9073, loss: 0.2245 +2023-03-04 22:12:11,280 - mmseg - INFO - Exp name: ablation_segformer_mit_b2_segformer_head_unet_fc_single_step_ade_pretrained_freeze_embed_80k_ade20k151_logits.py +2023-03-04 22:12:11,280 - mmseg - INFO - Iter [26000/80000] lr: 3.750e-05, eta: 3:13:22, time: 0.178, data_time: 0.007, memory: 52390, decode.loss_ce: 0.2229, decode.acc_seg: 90.8225, loss: 0.2229 +2023-03-04 22:12:20,307 - mmseg - INFO - Iter [26050/80000] lr: 3.750e-05, eta: 3:13:06, time: 0.180, data_time: 0.007, memory: 52390, decode.loss_ce: 0.2285, decode.acc_seg: 90.7698, loss: 0.2285 +2023-03-04 22:12:29,190 - mmseg - INFO - Iter [26100/80000] lr: 3.750e-05, eta: 3:12:50, time: 0.178, data_time: 0.007, memory: 52390, decode.loss_ce: 0.2269, decode.acc_seg: 90.7035, loss: 0.2269 +2023-03-04 22:12:38,212 - mmseg - INFO - Iter [26150/80000] lr: 3.750e-05, eta: 3:12:34, time: 0.180, data_time: 0.006, memory: 52390, decode.loss_ce: 0.2270, decode.acc_seg: 90.9766, loss: 0.2270 +2023-03-04 22:12:47,511 - mmseg - INFO - Iter [26200/80000] lr: 3.750e-05, eta: 3:12:19, time: 0.186, data_time: 0.007, memory: 52390, decode.loss_ce: 0.2151, decode.acc_seg: 91.2388, loss: 0.2151 +2023-03-04 22:12:56,355 - mmseg - INFO - Iter [26250/80000] lr: 3.750e-05, eta: 3:12:03, time: 0.177, data_time: 0.006, memory: 52390, decode.loss_ce: 0.2274, decode.acc_seg: 90.9189, loss: 0.2274 +2023-03-04 22:13:07,723 - mmseg - INFO - Iter [26300/80000] lr: 3.750e-05, eta: 3:11:54, time: 0.227, data_time: 0.053, memory: 52390, decode.loss_ce: 0.2196, decode.acc_seg: 90.7969, loss: 0.2196 +2023-03-04 22:13:17,267 - mmseg - INFO - Iter [26350/80000] lr: 3.750e-05, eta: 3:11:40, time: 0.191, data_time: 0.006, memory: 52390, decode.loss_ce: 0.2155, decode.acc_seg: 91.1265, loss: 0.2155 +2023-03-04 22:13:26,694 - mmseg - INFO - Iter [26400/80000] lr: 3.750e-05, eta: 3:11:25, time: 0.188, data_time: 0.006, memory: 52390, decode.loss_ce: 0.2293, decode.acc_seg: 90.6828, loss: 0.2293 +2023-03-04 22:13:35,267 - mmseg - INFO - Iter [26450/80000] lr: 3.750e-05, eta: 3:11:08, time: 0.172, data_time: 0.007, memory: 52390, decode.loss_ce: 0.2255, decode.acc_seg: 90.7630, loss: 0.2255 +2023-03-04 22:13:44,098 - mmseg - INFO - Iter [26500/80000] lr: 3.750e-05, eta: 3:10:52, time: 0.176, data_time: 0.006, memory: 52390, decode.loss_ce: 0.2252, decode.acc_seg: 90.8824, loss: 0.2252 +2023-03-04 22:13:52,956 - mmseg - INFO - Iter [26550/80000] lr: 3.750e-05, eta: 3:10:36, time: 0.177, data_time: 0.006, memory: 52390, decode.loss_ce: 0.2205, decode.acc_seg: 90.9360, loss: 0.2205 +2023-03-04 22:14:01,899 - mmseg - INFO - Iter [26600/80000] lr: 3.750e-05, eta: 3:10:20, time: 0.179, data_time: 0.007, memory: 52390, decode.loss_ce: 0.2275, decode.acc_seg: 90.8218, loss: 0.2275 +2023-03-04 22:14:10,412 - mmseg - INFO - Iter [26650/80000] lr: 3.750e-05, eta: 3:10:04, time: 0.170, data_time: 0.006, memory: 52390, decode.loss_ce: 0.2269, decode.acc_seg: 90.6286, loss: 0.2269 +2023-03-04 22:14:18,986 - mmseg - INFO - Iter [26700/80000] lr: 3.750e-05, eta: 3:09:47, time: 0.171, data_time: 0.006, memory: 52390, decode.loss_ce: 0.2279, decode.acc_seg: 90.7602, loss: 0.2279 +2023-03-04 22:14:27,669 - mmseg - INFO - Iter [26750/80000] lr: 3.750e-05, eta: 3:09:30, time: 0.174, data_time: 0.007, memory: 52390, decode.loss_ce: 0.2315, decode.acc_seg: 90.6802, loss: 0.2315 +2023-03-04 22:14:36,278 - mmseg - INFO - Iter [26800/80000] lr: 3.750e-05, eta: 3:09:14, time: 0.172, data_time: 0.006, memory: 52390, decode.loss_ce: 0.2269, decode.acc_seg: 90.8370, loss: 0.2269 +2023-03-04 22:14:45,020 - mmseg - INFO - Iter [26850/80000] lr: 3.750e-05, eta: 3:08:58, time: 0.175, data_time: 0.007, memory: 52390, decode.loss_ce: 0.2324, decode.acc_seg: 90.6237, loss: 0.2324 +2023-03-04 22:14:54,454 - mmseg - INFO - Iter [26900/80000] lr: 3.750e-05, eta: 3:08:44, time: 0.188, data_time: 0.007, memory: 52390, decode.loss_ce: 0.2293, decode.acc_seg: 90.7841, loss: 0.2293 +2023-03-04 22:15:06,290 - mmseg - INFO - Iter [26950/80000] lr: 3.750e-05, eta: 3:08:36, time: 0.237, data_time: 0.057, memory: 52390, decode.loss_ce: 0.2249, decode.acc_seg: 91.0213, loss: 0.2249 +2023-03-04 22:15:15,824 - mmseg - INFO - Exp name: ablation_segformer_mit_b2_segformer_head_unet_fc_single_step_ade_pretrained_freeze_embed_80k_ade20k151_logits.py +2023-03-04 22:15:15,825 - mmseg - INFO - Iter [27000/80000] lr: 3.750e-05, eta: 3:08:22, time: 0.191, data_time: 0.007, memory: 52390, decode.loss_ce: 0.2291, decode.acc_seg: 90.8774, loss: 0.2291 +2023-03-04 22:15:24,785 - mmseg - INFO - Iter [27050/80000] lr: 3.750e-05, eta: 3:08:07, time: 0.179, data_time: 0.006, memory: 52390, decode.loss_ce: 0.2281, decode.acc_seg: 90.7398, loss: 0.2281 +2023-03-04 22:15:33,589 - mmseg - INFO - Iter [27100/80000] lr: 3.750e-05, eta: 3:07:51, time: 0.176, data_time: 0.006, memory: 52390, decode.loss_ce: 0.2257, decode.acc_seg: 90.8538, loss: 0.2257 +2023-03-04 22:15:42,523 - mmseg - INFO - Iter [27150/80000] lr: 3.750e-05, eta: 3:07:36, time: 0.179, data_time: 0.007, memory: 52390, decode.loss_ce: 0.2283, decode.acc_seg: 90.7039, loss: 0.2283 +2023-03-04 22:15:51,376 - mmseg - INFO - Iter [27200/80000] lr: 3.750e-05, eta: 3:07:20, time: 0.177, data_time: 0.007, memory: 52390, decode.loss_ce: 0.2241, decode.acc_seg: 90.9420, loss: 0.2241 +2023-03-04 22:16:00,111 - mmseg - INFO - Iter [27250/80000] lr: 3.750e-05, eta: 3:07:04, time: 0.175, data_time: 0.007, memory: 52390, decode.loss_ce: 0.2222, decode.acc_seg: 90.8394, loss: 0.2222 +2023-03-04 22:16:09,095 - mmseg - INFO - Iter [27300/80000] lr: 3.750e-05, eta: 3:06:49, time: 0.180, data_time: 0.007, memory: 52390, decode.loss_ce: 0.2328, decode.acc_seg: 90.6432, loss: 0.2328 +2023-03-04 22:16:18,036 - mmseg - INFO - Iter [27350/80000] lr: 3.750e-05, eta: 3:06:34, time: 0.179, data_time: 0.007, memory: 52390, decode.loss_ce: 0.2278, decode.acc_seg: 90.7440, loss: 0.2278 +2023-03-04 22:16:26,641 - mmseg - INFO - Iter [27400/80000] lr: 3.750e-05, eta: 3:06:18, time: 0.172, data_time: 0.006, memory: 52390, decode.loss_ce: 0.2114, decode.acc_seg: 91.2218, loss: 0.2114 +2023-03-04 22:16:35,399 - mmseg - INFO - Iter [27450/80000] lr: 3.750e-05, eta: 3:06:02, time: 0.175, data_time: 0.006, memory: 52390, decode.loss_ce: 0.2177, decode.acc_seg: 91.1981, loss: 0.2177 +2023-03-04 22:16:44,071 - mmseg - INFO - Iter [27500/80000] lr: 3.750e-05, eta: 3:05:46, time: 0.173, data_time: 0.006, memory: 52390, decode.loss_ce: 0.2222, decode.acc_seg: 91.0046, loss: 0.2222 +2023-03-04 22:16:53,019 - mmseg - INFO - Iter [27550/80000] lr: 3.750e-05, eta: 3:05:31, time: 0.179, data_time: 0.006, memory: 52390, decode.loss_ce: 0.2198, decode.acc_seg: 91.1280, loss: 0.2198 +2023-03-04 22:17:04,221 - mmseg - INFO - Iter [27600/80000] lr: 3.750e-05, eta: 3:05:22, time: 0.224, data_time: 0.052, memory: 52390, decode.loss_ce: 0.2317, decode.acc_seg: 90.6863, loss: 0.2317 +2023-03-04 22:17:13,217 - mmseg - INFO - Iter [27650/80000] lr: 3.750e-05, eta: 3:05:07, time: 0.180, data_time: 0.006, memory: 52390, decode.loss_ce: 0.2215, decode.acc_seg: 90.8965, loss: 0.2215 +2023-03-04 22:17:21,853 - mmseg - INFO - Iter [27700/80000] lr: 3.750e-05, eta: 3:04:51, time: 0.173, data_time: 0.006, memory: 52390, decode.loss_ce: 0.2218, decode.acc_seg: 91.0740, loss: 0.2218 +2023-03-04 22:17:30,943 - mmseg - INFO - Iter [27750/80000] lr: 3.750e-05, eta: 3:04:37, time: 0.182, data_time: 0.007, memory: 52390, decode.loss_ce: 0.2352, decode.acc_seg: 90.7477, loss: 0.2352 +2023-03-04 22:17:40,290 - mmseg - INFO - Iter [27800/80000] lr: 3.750e-05, eta: 3:04:23, time: 0.187, data_time: 0.007, memory: 52390, decode.loss_ce: 0.2232, decode.acc_seg: 90.8676, loss: 0.2232 +2023-03-04 22:17:48,838 - mmseg - INFO - Iter [27850/80000] lr: 3.750e-05, eta: 3:04:07, time: 0.171, data_time: 0.006, memory: 52390, decode.loss_ce: 0.2429, decode.acc_seg: 90.2012, loss: 0.2429 +2023-03-04 22:17:57,582 - mmseg - INFO - Iter [27900/80000] lr: 3.750e-05, eta: 3:03:52, time: 0.175, data_time: 0.007, memory: 52390, decode.loss_ce: 0.2388, decode.acc_seg: 90.4088, loss: 0.2388 +2023-03-04 22:18:06,298 - mmseg - INFO - Iter [27950/80000] lr: 3.750e-05, eta: 3:03:36, time: 0.174, data_time: 0.006, memory: 52390, decode.loss_ce: 0.2252, decode.acc_seg: 90.8142, loss: 0.2252 +2023-03-04 22:18:15,698 - mmseg - INFO - Exp name: ablation_segformer_mit_b2_segformer_head_unet_fc_single_step_ade_pretrained_freeze_embed_80k_ade20k151_logits.py +2023-03-04 22:18:15,699 - mmseg - INFO - Iter [28000/80000] lr: 3.750e-05, eta: 3:03:22, time: 0.188, data_time: 0.006, memory: 52390, decode.loss_ce: 0.2246, decode.acc_seg: 91.1932, loss: 0.2246 +2023-03-04 22:18:24,233 - mmseg - INFO - Iter [28050/80000] lr: 3.750e-05, eta: 3:03:07, time: 0.171, data_time: 0.006, memory: 52390, decode.loss_ce: 0.2270, decode.acc_seg: 90.7911, loss: 0.2270 +2023-03-04 22:18:32,838 - mmseg - INFO - Iter [28100/80000] lr: 3.750e-05, eta: 3:02:51, time: 0.172, data_time: 0.006, memory: 52390, decode.loss_ce: 0.2311, decode.acc_seg: 90.5420, loss: 0.2311 +2023-03-04 22:18:42,045 - mmseg - INFO - Iter [28150/80000] lr: 3.750e-05, eta: 3:02:37, time: 0.184, data_time: 0.007, memory: 52390, decode.loss_ce: 0.2245, decode.acc_seg: 90.8891, loss: 0.2245 +2023-03-04 22:18:53,601 - mmseg - INFO - Iter [28200/80000] lr: 3.750e-05, eta: 3:02:29, time: 0.231, data_time: 0.055, memory: 52390, decode.loss_ce: 0.2227, decode.acc_seg: 90.9633, loss: 0.2227 +2023-03-04 22:19:02,627 - mmseg - INFO - Iter [28250/80000] lr: 3.750e-05, eta: 3:02:14, time: 0.181, data_time: 0.007, memory: 52390, decode.loss_ce: 0.2258, decode.acc_seg: 90.8696, loss: 0.2258 +2023-03-04 22:19:11,722 - mmseg - INFO - Iter [28300/80000] lr: 3.750e-05, eta: 3:02:00, time: 0.182, data_time: 0.006, memory: 52390, decode.loss_ce: 0.2243, decode.acc_seg: 90.8111, loss: 0.2243 +2023-03-04 22:19:20,398 - mmseg - INFO - Iter [28350/80000] lr: 3.750e-05, eta: 3:01:45, time: 0.173, data_time: 0.006, memory: 52390, decode.loss_ce: 0.2260, decode.acc_seg: 90.8808, loss: 0.2260 +2023-03-04 22:19:29,140 - mmseg - INFO - Iter [28400/80000] lr: 3.750e-05, eta: 3:01:29, time: 0.175, data_time: 0.006, memory: 52390, decode.loss_ce: 0.2200, decode.acc_seg: 91.0418, loss: 0.2200 +2023-03-04 22:19:38,270 - mmseg - INFO - Iter [28450/80000] lr: 3.750e-05, eta: 3:01:15, time: 0.183, data_time: 0.006, memory: 52390, decode.loss_ce: 0.2128, decode.acc_seg: 91.1748, loss: 0.2128 +2023-03-04 22:19:47,187 - mmseg - INFO - Iter [28500/80000] lr: 3.750e-05, eta: 3:01:01, time: 0.178, data_time: 0.006, memory: 52390, decode.loss_ce: 0.2276, decode.acc_seg: 90.6521, loss: 0.2276 +2023-03-04 22:19:55,875 - mmseg - INFO - Iter [28550/80000] lr: 3.750e-05, eta: 3:00:45, time: 0.174, data_time: 0.006, memory: 52390, decode.loss_ce: 0.2227, decode.acc_seg: 90.8706, loss: 0.2227 +2023-03-04 22:20:04,523 - mmseg - INFO - Iter [28600/80000] lr: 3.750e-05, eta: 3:00:30, time: 0.173, data_time: 0.006, memory: 52390, decode.loss_ce: 0.2284, decode.acc_seg: 90.6040, loss: 0.2284 +2023-03-04 22:20:13,381 - mmseg - INFO - Iter [28650/80000] lr: 3.750e-05, eta: 3:00:15, time: 0.177, data_time: 0.006, memory: 52390, decode.loss_ce: 0.2254, decode.acc_seg: 90.9301, loss: 0.2254 +2023-03-04 22:20:22,015 - mmseg - INFO - Iter [28700/80000] lr: 3.750e-05, eta: 3:00:00, time: 0.173, data_time: 0.007, memory: 52390, decode.loss_ce: 0.2405, decode.acc_seg: 90.2749, loss: 0.2405 +2023-03-04 22:20:31,389 - mmseg - INFO - Iter [28750/80000] lr: 3.750e-05, eta: 2:59:47, time: 0.187, data_time: 0.006, memory: 52390, decode.loss_ce: 0.2132, decode.acc_seg: 91.3815, loss: 0.2132 +2023-03-04 22:20:41,295 - mmseg - INFO - Iter [28800/80000] lr: 3.750e-05, eta: 2:59:35, time: 0.198, data_time: 0.006, memory: 52390, decode.loss_ce: 0.2213, decode.acc_seg: 91.0521, loss: 0.2213 +2023-03-04 22:20:52,281 - mmseg - INFO - Iter [28850/80000] lr: 3.750e-05, eta: 2:59:25, time: 0.220, data_time: 0.054, memory: 52390, decode.loss_ce: 0.2259, decode.acc_seg: 90.8183, loss: 0.2259 +2023-03-04 22:21:00,802 - mmseg - INFO - Iter [28900/80000] lr: 3.750e-05, eta: 2:59:10, time: 0.170, data_time: 0.006, memory: 52390, decode.loss_ce: 0.2369, decode.acc_seg: 90.4460, loss: 0.2369 +2023-03-04 22:21:09,678 - mmseg - INFO - Iter [28950/80000] lr: 3.750e-05, eta: 2:58:55, time: 0.177, data_time: 0.006, memory: 52390, decode.loss_ce: 0.2254, decode.acc_seg: 90.7957, loss: 0.2254 +2023-03-04 22:21:18,185 - mmseg - INFO - Exp name: ablation_segformer_mit_b2_segformer_head_unet_fc_single_step_ade_pretrained_freeze_embed_80k_ade20k151_logits.py +2023-03-04 22:21:18,185 - mmseg - INFO - Iter [29000/80000] lr: 3.750e-05, eta: 2:58:40, time: 0.170, data_time: 0.006, memory: 52390, decode.loss_ce: 0.2362, decode.acc_seg: 90.3573, loss: 0.2362 +2023-03-04 22:21:27,079 - mmseg - INFO - Iter [29050/80000] lr: 3.750e-05, eta: 2:58:26, time: 0.178, data_time: 0.007, memory: 52390, decode.loss_ce: 0.2263, decode.acc_seg: 90.7654, loss: 0.2263 +2023-03-04 22:21:35,973 - mmseg - INFO - Iter [29100/80000] lr: 3.750e-05, eta: 2:58:11, time: 0.178, data_time: 0.007, memory: 52390, decode.loss_ce: 0.2260, decode.acc_seg: 90.7809, loss: 0.2260 +2023-03-04 22:21:44,789 - mmseg - INFO - Iter [29150/80000] lr: 3.750e-05, eta: 2:57:57, time: 0.176, data_time: 0.006, memory: 52390, decode.loss_ce: 0.2240, decode.acc_seg: 90.9701, loss: 0.2240 +2023-03-04 22:21:53,583 - mmseg - INFO - Iter [29200/80000] lr: 3.750e-05, eta: 2:57:42, time: 0.176, data_time: 0.007, memory: 52390, decode.loss_ce: 0.2238, decode.acc_seg: 90.8246, loss: 0.2238 +2023-03-04 22:22:02,419 - mmseg - INFO - Iter [29250/80000] lr: 3.750e-05, eta: 2:57:28, time: 0.177, data_time: 0.007, memory: 52390, decode.loss_ce: 0.2189, decode.acc_seg: 91.0685, loss: 0.2189 +2023-03-04 22:22:11,076 - mmseg - INFO - Iter [29300/80000] lr: 3.750e-05, eta: 2:57:13, time: 0.173, data_time: 0.006, memory: 52390, decode.loss_ce: 0.2283, decode.acc_seg: 90.6791, loss: 0.2283 +2023-03-04 22:22:19,891 - mmseg - INFO - Iter [29350/80000] lr: 3.750e-05, eta: 2:56:58, time: 0.176, data_time: 0.006, memory: 52390, decode.loss_ce: 0.2223, decode.acc_seg: 90.8330, loss: 0.2223 +2023-03-04 22:22:29,142 - mmseg - INFO - Iter [29400/80000] lr: 3.750e-05, eta: 2:56:45, time: 0.185, data_time: 0.006, memory: 52390, decode.loss_ce: 0.2243, decode.acc_seg: 91.0542, loss: 0.2243 +2023-03-04 22:22:38,332 - mmseg - INFO - Iter [29450/80000] lr: 3.750e-05, eta: 2:56:31, time: 0.184, data_time: 0.007, memory: 52390, decode.loss_ce: 0.2286, decode.acc_seg: 90.8432, loss: 0.2286 +2023-03-04 22:22:49,582 - mmseg - INFO - Iter [29500/80000] lr: 3.750e-05, eta: 2:56:23, time: 0.225, data_time: 0.056, memory: 52390, decode.loss_ce: 0.2386, decode.acc_seg: 90.4632, loss: 0.2386 +2023-03-04 22:22:58,758 - mmseg - INFO - Iter [29550/80000] lr: 3.750e-05, eta: 2:56:09, time: 0.183, data_time: 0.006, memory: 52390, decode.loss_ce: 0.2301, decode.acc_seg: 90.5910, loss: 0.2301 +2023-03-04 22:23:07,771 - mmseg - INFO - Iter [29600/80000] lr: 3.750e-05, eta: 2:55:55, time: 0.180, data_time: 0.006, memory: 52390, decode.loss_ce: 0.2339, decode.acc_seg: 90.6082, loss: 0.2339 +2023-03-04 22:23:16,402 - mmseg - INFO - Iter [29650/80000] lr: 3.750e-05, eta: 2:55:41, time: 0.173, data_time: 0.006, memory: 52390, decode.loss_ce: 0.2180, decode.acc_seg: 91.0996, loss: 0.2180 +2023-03-04 22:23:25,442 - mmseg - INFO - Iter [29700/80000] lr: 3.750e-05, eta: 2:55:27, time: 0.181, data_time: 0.006, memory: 52390, decode.loss_ce: 0.2260, decode.acc_seg: 90.8336, loss: 0.2260 +2023-03-04 22:23:34,197 - mmseg - INFO - Iter [29750/80000] lr: 3.750e-05, eta: 2:55:12, time: 0.175, data_time: 0.006, memory: 52390, decode.loss_ce: 0.2287, decode.acc_seg: 90.6887, loss: 0.2287 +2023-03-04 22:23:42,814 - mmseg - INFO - Iter [29800/80000] lr: 3.750e-05, eta: 2:54:58, time: 0.172, data_time: 0.006, memory: 52390, decode.loss_ce: 0.2283, decode.acc_seg: 90.6967, loss: 0.2283 +2023-03-04 22:23:51,530 - mmseg - INFO - Iter [29850/80000] lr: 3.750e-05, eta: 2:54:43, time: 0.174, data_time: 0.006, memory: 52390, decode.loss_ce: 0.2255, decode.acc_seg: 90.8018, loss: 0.2255 +2023-03-04 22:24:00,990 - mmseg - INFO - Iter [29900/80000] lr: 3.750e-05, eta: 2:54:31, time: 0.189, data_time: 0.006, memory: 52390, decode.loss_ce: 0.2203, decode.acc_seg: 91.0016, loss: 0.2203 +2023-03-04 22:24:09,978 - mmseg - INFO - Iter [29950/80000] lr: 3.750e-05, eta: 2:54:17, time: 0.180, data_time: 0.007, memory: 52390, decode.loss_ce: 0.2266, decode.acc_seg: 90.9260, loss: 0.2266 +2023-03-04 22:24:18,709 - mmseg - INFO - Exp name: ablation_segformer_mit_b2_segformer_head_unet_fc_single_step_ade_pretrained_freeze_embed_80k_ade20k151_logits.py +2023-03-04 22:24:18,710 - mmseg - INFO - Iter [30000/80000] lr: 3.750e-05, eta: 2:54:02, time: 0.174, data_time: 0.007, memory: 52390, decode.loss_ce: 0.2248, decode.acc_seg: 90.8778, loss: 0.2248 +2023-03-04 22:24:27,391 - mmseg - INFO - Iter [30050/80000] lr: 1.875e-05, eta: 2:53:48, time: 0.174, data_time: 0.007, memory: 52390, decode.loss_ce: 0.2260, decode.acc_seg: 90.9266, loss: 0.2260 +2023-03-04 22:24:38,540 - mmseg - INFO - Iter [30100/80000] lr: 1.875e-05, eta: 2:53:39, time: 0.223, data_time: 0.052, memory: 52390, decode.loss_ce: 0.2171, decode.acc_seg: 90.9933, loss: 0.2171 +2023-03-04 22:24:47,517 - mmseg - INFO - Iter [30150/80000] lr: 1.875e-05, eta: 2:53:25, time: 0.180, data_time: 0.006, memory: 52390, decode.loss_ce: 0.2304, decode.acc_seg: 90.7407, loss: 0.2304 +2023-03-04 22:24:56,853 - mmseg - INFO - Iter [30200/80000] lr: 1.875e-05, eta: 2:53:12, time: 0.187, data_time: 0.006, memory: 52390, decode.loss_ce: 0.2249, decode.acc_seg: 90.9029, loss: 0.2249 +2023-03-04 22:25:05,488 - mmseg - INFO - Iter [30250/80000] lr: 1.875e-05, eta: 2:52:58, time: 0.173, data_time: 0.006, memory: 52390, decode.loss_ce: 0.2149, decode.acc_seg: 91.0975, loss: 0.2149 +2023-03-04 22:25:14,192 - mmseg - INFO - Iter [30300/80000] lr: 1.875e-05, eta: 2:52:44, time: 0.174, data_time: 0.007, memory: 52390, decode.loss_ce: 0.2220, decode.acc_seg: 90.8498, loss: 0.2220 +2023-03-04 22:25:23,042 - mmseg - INFO - Iter [30350/80000] lr: 1.875e-05, eta: 2:52:30, time: 0.177, data_time: 0.007, memory: 52390, decode.loss_ce: 0.2103, decode.acc_seg: 91.3184, loss: 0.2103 +2023-03-04 22:25:32,585 - mmseg - INFO - Iter [30400/80000] lr: 1.875e-05, eta: 2:52:17, time: 0.191, data_time: 0.007, memory: 52390, decode.loss_ce: 0.2139, decode.acc_seg: 91.2494, loss: 0.2139 +2023-03-04 22:25:41,596 - mmseg - INFO - Iter [30450/80000] lr: 1.875e-05, eta: 2:52:04, time: 0.181, data_time: 0.007, memory: 52390, decode.loss_ce: 0.2271, decode.acc_seg: 90.8270, loss: 0.2271 +2023-03-04 22:25:51,139 - mmseg - INFO - Iter [30500/80000] lr: 1.875e-05, eta: 2:51:52, time: 0.191, data_time: 0.008, memory: 52390, decode.loss_ce: 0.2164, decode.acc_seg: 91.1309, loss: 0.2164 +2023-03-04 22:25:59,859 - mmseg - INFO - Iter [30550/80000] lr: 1.875e-05, eta: 2:51:37, time: 0.174, data_time: 0.007, memory: 52390, decode.loss_ce: 0.2263, decode.acc_seg: 90.7484, loss: 0.2263 +2023-03-04 22:26:08,822 - mmseg - INFO - Iter [30600/80000] lr: 1.875e-05, eta: 2:51:24, time: 0.179, data_time: 0.007, memory: 52390, decode.loss_ce: 0.2063, decode.acc_seg: 91.3936, loss: 0.2063 +2023-03-04 22:26:17,924 - mmseg - INFO - Iter [30650/80000] lr: 1.875e-05, eta: 2:51:11, time: 0.182, data_time: 0.006, memory: 52390, decode.loss_ce: 0.2087, decode.acc_seg: 91.4475, loss: 0.2087 +2023-03-04 22:26:26,556 - mmseg - INFO - Iter [30700/80000] lr: 1.875e-05, eta: 2:50:56, time: 0.173, data_time: 0.007, memory: 52390, decode.loss_ce: 0.2200, decode.acc_seg: 91.0828, loss: 0.2200 +2023-03-04 22:26:37,729 - mmseg - INFO - Iter [30750/80000] lr: 1.875e-05, eta: 2:50:48, time: 0.223, data_time: 0.053, memory: 52390, decode.loss_ce: 0.2203, decode.acc_seg: 91.1178, loss: 0.2203 +2023-03-04 22:26:46,764 - mmseg - INFO - Iter [30800/80000] lr: 1.875e-05, eta: 2:50:34, time: 0.181, data_time: 0.006, memory: 52390, decode.loss_ce: 0.2122, decode.acc_seg: 91.4311, loss: 0.2122 +2023-03-04 22:26:55,901 - mmseg - INFO - Iter [30850/80000] lr: 1.875e-05, eta: 2:50:21, time: 0.183, data_time: 0.007, memory: 52390, decode.loss_ce: 0.2115, decode.acc_seg: 91.3756, loss: 0.2115 +2023-03-04 22:27:04,800 - mmseg - INFO - Iter [30900/80000] lr: 1.875e-05, eta: 2:50:08, time: 0.178, data_time: 0.007, memory: 52390, decode.loss_ce: 0.2183, decode.acc_seg: 91.1035, loss: 0.2183 +2023-03-04 22:27:13,437 - mmseg - INFO - Iter [30950/80000] lr: 1.875e-05, eta: 2:49:53, time: 0.173, data_time: 0.006, memory: 52390, decode.loss_ce: 0.2286, decode.acc_seg: 90.8342, loss: 0.2286 +2023-03-04 22:27:22,190 - mmseg - INFO - Exp name: ablation_segformer_mit_b2_segformer_head_unet_fc_single_step_ade_pretrained_freeze_embed_80k_ade20k151_logits.py +2023-03-04 22:27:22,190 - mmseg - INFO - Iter [31000/80000] lr: 1.875e-05, eta: 2:49:39, time: 0.175, data_time: 0.006, memory: 52390, decode.loss_ce: 0.2274, decode.acc_seg: 90.7450, loss: 0.2274 +2023-03-04 22:27:30,974 - mmseg - INFO - Iter [31050/80000] lr: 1.875e-05, eta: 2:49:26, time: 0.176, data_time: 0.006, memory: 52390, decode.loss_ce: 0.2171, decode.acc_seg: 91.1823, loss: 0.2171 +2023-03-04 22:27:39,932 - mmseg - INFO - Iter [31100/80000] lr: 1.875e-05, eta: 2:49:12, time: 0.179, data_time: 0.006, memory: 52390, decode.loss_ce: 0.2309, decode.acc_seg: 90.6342, loss: 0.2309 +2023-03-04 22:27:48,921 - mmseg - INFO - Iter [31150/80000] lr: 1.875e-05, eta: 2:48:59, time: 0.180, data_time: 0.007, memory: 52390, decode.loss_ce: 0.2241, decode.acc_seg: 90.9442, loss: 0.2241 +2023-03-04 22:27:57,950 - mmseg - INFO - Iter [31200/80000] lr: 1.875e-05, eta: 2:48:46, time: 0.180, data_time: 0.006, memory: 52390, decode.loss_ce: 0.2203, decode.acc_seg: 91.1327, loss: 0.2203 +2023-03-04 22:28:06,749 - mmseg - INFO - Iter [31250/80000] lr: 1.875e-05, eta: 2:48:32, time: 0.176, data_time: 0.007, memory: 52390, decode.loss_ce: 0.2230, decode.acc_seg: 90.9598, loss: 0.2230 +2023-03-04 22:28:15,302 - mmseg - INFO - Iter [31300/80000] lr: 1.875e-05, eta: 2:48:18, time: 0.171, data_time: 0.007, memory: 52390, decode.loss_ce: 0.2226, decode.acc_seg: 90.7734, loss: 0.2226 +2023-03-04 22:28:26,787 - mmseg - INFO - Iter [31350/80000] lr: 1.875e-05, eta: 2:48:10, time: 0.229, data_time: 0.055, memory: 52390, decode.loss_ce: 0.2127, decode.acc_seg: 91.1966, loss: 0.2127 +2023-03-04 22:28:35,480 - mmseg - INFO - Iter [31400/80000] lr: 1.875e-05, eta: 2:47:56, time: 0.174, data_time: 0.006, memory: 52390, decode.loss_ce: 0.2155, decode.acc_seg: 91.2143, loss: 0.2155 +2023-03-04 22:28:44,434 - mmseg - INFO - Iter [31450/80000] lr: 1.875e-05, eta: 2:47:43, time: 0.179, data_time: 0.006, memory: 52390, decode.loss_ce: 0.2112, decode.acc_seg: 91.3110, loss: 0.2112 +2023-03-04 22:28:53,465 - mmseg - INFO - Iter [31500/80000] lr: 1.875e-05, eta: 2:47:30, time: 0.180, data_time: 0.006, memory: 52390, decode.loss_ce: 0.2165, decode.acc_seg: 91.0963, loss: 0.2165 +2023-03-04 22:29:02,500 - mmseg - INFO - Iter [31550/80000] lr: 1.875e-05, eta: 2:47:16, time: 0.181, data_time: 0.007, memory: 52390, decode.loss_ce: 0.2210, decode.acc_seg: 91.0376, loss: 0.2210 +2023-03-04 22:29:11,889 - mmseg - INFO - Iter [31600/80000] lr: 1.875e-05, eta: 2:47:04, time: 0.188, data_time: 0.006, memory: 52390, decode.loss_ce: 0.2163, decode.acc_seg: 91.1495, loss: 0.2163 +2023-03-04 22:29:20,806 - mmseg - INFO - Iter [31650/80000] lr: 1.875e-05, eta: 2:46:51, time: 0.178, data_time: 0.006, memory: 52390, decode.loss_ce: 0.2140, decode.acc_seg: 91.0530, loss: 0.2140 +2023-03-04 22:29:29,676 - mmseg - INFO - Iter [31700/80000] lr: 1.875e-05, eta: 2:46:37, time: 0.177, data_time: 0.007, memory: 52390, decode.loss_ce: 0.2168, decode.acc_seg: 91.0940, loss: 0.2168 +2023-03-04 22:29:38,781 - mmseg - INFO - Iter [31750/80000] lr: 1.875e-05, eta: 2:46:25, time: 0.182, data_time: 0.006, memory: 52390, decode.loss_ce: 0.2252, decode.acc_seg: 90.8659, loss: 0.2252 +2023-03-04 22:29:47,855 - mmseg - INFO - Iter [31800/80000] lr: 1.875e-05, eta: 2:46:12, time: 0.181, data_time: 0.007, memory: 52390, decode.loss_ce: 0.2169, decode.acc_seg: 91.1824, loss: 0.2169 +2023-03-04 22:29:56,676 - mmseg - INFO - Iter [31850/80000] lr: 1.875e-05, eta: 2:45:58, time: 0.176, data_time: 0.007, memory: 52390, decode.loss_ce: 0.2216, decode.acc_seg: 91.0426, loss: 0.2216 +2023-03-04 22:30:05,441 - mmseg - INFO - Iter [31900/80000] lr: 1.875e-05, eta: 2:45:45, time: 0.175, data_time: 0.007, memory: 52390, decode.loss_ce: 0.2241, decode.acc_seg: 90.9069, loss: 0.2241 +2023-03-04 22:30:14,905 - mmseg - INFO - Iter [31950/80000] lr: 1.875e-05, eta: 2:45:33, time: 0.190, data_time: 0.006, memory: 52390, decode.loss_ce: 0.2144, decode.acc_seg: 91.1203, loss: 0.2144 +2023-03-04 22:30:25,981 - mmseg - INFO - Saving checkpoint at 32000 iterations +2023-03-04 22:30:26,804 - mmseg - INFO - Exp name: ablation_segformer_mit_b2_segformer_head_unet_fc_single_step_ade_pretrained_freeze_embed_80k_ade20k151_logits.py +2023-03-04 22:30:26,805 - mmseg - INFO - Iter [32000/80000] lr: 1.875e-05, eta: 2:45:25, time: 0.238, data_time: 0.054, memory: 52390, decode.loss_ce: 0.2337, decode.acc_seg: 90.6063, loss: 0.2337 +2023-03-04 22:30:42,386 - mmseg - INFO - per class results: +2023-03-04 22:30:42,392 - mmseg - INFO - ++---------------------+-------+-------+ +| Class | IoU | Acc | ++---------------------+-------+-------+ +| background | nan | nan | +| wall | 76.47 | 87.22 | +| building | 81.04 | 91.99 | +| sky | 94.18 | 97.73 | +| floor | 80.74 | 91.08 | +| tree | 72.89 | 86.73 | +| ceiling | 83.3 | 93.92 | +| road | 81.71 | 90.08 | +| bed | 86.39 | 94.57 | +| windowpane | 59.17 | 77.93 | +| grass | 64.67 | 79.06 | +| cabinet | 59.59 | 72.74 | +| sidewalk | 63.32 | 79.04 | +| person | 77.46 | 92.18 | +| earth | 35.09 | 47.8 | +| door | 44.17 | 57.68 | +| table | 57.57 | 75.28 | +| mountain | 56.14 | 73.11 | +| plant | 48.24 | 57.35 | +| curtain | 73.21 | 82.57 | +| chair | 53.32 | 66.53 | +| car | 80.33 | 91.77 | +| water | 57.7 | 77.29 | +| painting | 68.75 | 84.64 | +| sofa | 61.85 | 81.78 | +| shelf | 41.23 | 55.94 | +| house | 43.33 | 61.41 | +| sea | 60.72 | 74.53 | +| mirror | 63.85 | 72.94 | +| rug | 64.94 | 74.44 | +| field | 27.77 | 46.17 | +| armchair | 35.48 | 51.86 | +| seat | 64.6 | 83.99 | +| fence | 42.37 | 56.82 | +| desk | 46.22 | 66.47 | +| rock | 35.47 | 56.39 | +| wardrobe | 56.06 | 67.35 | +| lamp | 58.03 | 70.63 | +| bathtub | 74.85 | 82.6 | +| railing | 33.5 | 46.66 | +| cushion | 53.47 | 72.42 | +| base | 23.81 | 29.14 | +| box | 22.87 | 33.05 | +| column | 44.15 | 61.94 | +| signboard | 34.88 | 42.08 | +| chest of drawers | 36.14 | 58.57 | +| counter | 33.7 | 47.79 | +| sand | 42.63 | 61.86 | +| sink | 63.82 | 78.17 | +| skyscraper | 52.95 | 66.51 | +| fireplace | 73.63 | 82.69 | +| refrigerator | 68.73 | 84.81 | +| grandstand | 46.02 | 68.53 | +| path | 21.93 | 29.59 | +| stairs | 30.53 | 39.11 | +| runway | 67.08 | 85.72 | +| case | 48.85 | 57.01 | +| pool table | 90.99 | 94.14 | +| pillow | 55.07 | 64.23 | +| screen door | 67.26 | 76.09 | +| stairway | 24.35 | 38.39 | +| river | 11.41 | 20.15 | +| bridge | 31.08 | 35.74 | +| bookcase | 40.37 | 62.23 | +| blind | 38.26 | 42.42 | +| coffee table | 52.32 | 77.48 | +| toilet | 80.05 | 90.08 | +| flower | 36.98 | 53.09 | +| book | 41.82 | 63.43 | +| hill | 14.14 | 25.86 | +| bench | 40.0 | 52.2 | +| countertop | 52.3 | 73.86 | +| stove | 69.45 | 81.73 | +| palm | 46.71 | 62.8 | +| kitchen island | 36.89 | 62.0 | +| computer | 59.29 | 67.15 | +| swivel chair | 43.15 | 58.45 | +| boat | 68.78 | 79.68 | +| bar | 20.23 | 26.68 | +| arcade machine | 69.41 | 71.89 | +| hovel | 27.73 | 31.45 | +| bus | 77.05 | 90.53 | +| towel | 60.29 | 68.66 | +| light | 48.62 | 56.69 | +| truck | 14.39 | 19.6 | +| tower | 6.35 | 10.03 | +| chandelier | 61.67 | 78.05 | +| awning | 21.04 | 23.91 | +| streetlight | 20.25 | 25.01 | +| booth | 43.34 | 45.27 | +| television receiver | 64.28 | 73.73 | +| airplane | 56.64 | 61.83 | +| dirt track | 12.47 | 38.28 | +| apparel | 33.06 | 60.89 | +| pole | 14.08 | 17.23 | +| land | 1.74 | 2.14 | +| bannister | 10.4 | 14.45 | +| escalator | 24.54 | 27.07 | +| ottoman | 41.52 | 62.83 | +| bottle | 35.11 | 60.3 | +| buffet | 41.83 | 48.69 | +| poster | 21.79 | 30.29 | +| stage | 14.35 | 18.7 | +| van | 37.77 | 50.37 | +| ship | 74.1 | 93.94 | +| fountain | 11.0 | 11.31 | +| conveyer belt | 79.53 | 89.33 | +| canopy | 23.84 | 25.1 | +| washer | 81.48 | 84.43 | +| plaything | 19.64 | 26.31 | +| swimming pool | 73.88 | 79.73 | +| stool | 40.49 | 50.15 | +| barrel | 40.27 | 54.23 | +| basket | 23.41 | 34.26 | +| waterfall | 51.92 | 68.38 | +| tent | 90.09 | 98.25 | +| bag | 17.17 | 23.23 | +| minibike | 58.3 | 68.41 | +| cradle | 82.93 | 95.23 | +| oven | 46.91 | 54.05 | +| ball | 40.08 | 46.08 | +| food | 51.49 | 61.74 | +| step | 9.24 | 10.48 | +| tank | 49.88 | 55.54 | +| trade name | 20.91 | 21.93 | +| microwave | 77.45 | 85.39 | +| pot | 28.44 | 32.16 | +| animal | 52.78 | 57.28 | +| bicycle | 50.26 | 61.91 | +| lake | 57.37 | 63.19 | +| dishwasher | 66.31 | 74.75 | +| screen | 64.67 | 80.1 | +| blanket | 14.01 | 15.78 | +| sculpture | 55.24 | 79.25 | +| hood | 53.67 | 58.0 | +| sconce | 40.8 | 50.13 | +| vase | 29.73 | 49.94 | +| traffic light | 22.99 | 27.0 | +| tray | 3.85 | 5.44 | +| ashcan | 39.18 | 46.24 | +| fan | 54.48 | 64.32 | +| pier | 47.41 | 68.37 | +| crt screen | 9.02 | 27.11 | +| plate | 47.3 | 63.35 | +| monitor | 6.93 | 7.86 | +| bulletin board | 43.27 | 59.85 | +| shower | 1.25 | 4.63 | +| radiator | 55.09 | 60.4 | +| glass | 9.01 | 9.56 | +| clock | 25.51 | 26.48 | +| flag | 35.14 | 39.46 | ++---------------------+-------+-------+ +2023-03-04 22:30:42,392 - mmseg - INFO - Summary: +2023-03-04 22:30:42,392 - mmseg - INFO - ++-------+-------+-------+ +| aAcc | mIoU | mAcc | ++-------+-------+-------+ +| 81.98 | 46.59 | 57.75 | ++-------+-------+-------+ +2023-03-04 22:30:42,413 - mmseg - INFO - The previous best checkpoint /mnt/petrelfs/laizeqiang/mmseg-baseline/work_dirs2/ablation_segformer_mit_b2_segformer_head_unet_fc_single_step_ade_pretrained_freeze_embed_80k_ade20k151_logits/best_mIoU_iter_24000.pth was removed +2023-03-04 22:30:43,012 - mmseg - INFO - Now best checkpoint is saved as best_mIoU_iter_32000.pth. +2023-03-04 22:30:43,013 - mmseg - INFO - Best mIoU is 0.4659 at 32000 iter. +2023-03-04 22:30:43,013 - mmseg - INFO - Exp name: ablation_segformer_mit_b2_segformer_head_unet_fc_single_step_ade_pretrained_freeze_embed_80k_ade20k151_logits.py +2023-03-04 22:30:43,013 - mmseg - INFO - Iter(val) [250] aAcc: 0.8198, mIoU: 0.4659, mAcc: 0.5775, IoU.background: nan, IoU.wall: 0.7647, IoU.building: 0.8104, IoU.sky: 0.9418, IoU.floor: 0.8074, IoU.tree: 0.7289, IoU.ceiling: 0.8330, IoU.road: 0.8171, IoU.bed : 0.8639, IoU.windowpane: 0.5917, IoU.grass: 0.6467, IoU.cabinet: 0.5959, IoU.sidewalk: 0.6332, IoU.person: 0.7746, IoU.earth: 0.3509, IoU.door: 0.4417, IoU.table: 0.5757, IoU.mountain: 0.5614, IoU.plant: 0.4824, IoU.curtain: 0.7321, IoU.chair: 0.5332, IoU.car: 0.8033, IoU.water: 0.5770, IoU.painting: 0.6875, IoU.sofa: 0.6185, IoU.shelf: 0.4123, IoU.house: 0.4333, IoU.sea: 0.6072, IoU.mirror: 0.6385, IoU.rug: 0.6494, IoU.field: 0.2777, IoU.armchair: 0.3548, IoU.seat: 0.6460, IoU.fence: 0.4237, IoU.desk: 0.4622, IoU.rock: 0.3547, IoU.wardrobe: 0.5606, IoU.lamp: 0.5803, IoU.bathtub: 0.7485, IoU.railing: 0.3350, IoU.cushion: 0.5347, IoU.base: 0.2381, IoU.box: 0.2287, IoU.column: 0.4415, IoU.signboard: 0.3488, IoU.chest of drawers: 0.3614, IoU.counter: 0.3370, IoU.sand: 0.4263, IoU.sink: 0.6382, IoU.skyscraper: 0.5295, IoU.fireplace: 0.7363, IoU.refrigerator: 0.6873, IoU.grandstand: 0.4602, IoU.path: 0.2193, IoU.stairs: 0.3053, IoU.runway: 0.6708, IoU.case: 0.4885, IoU.pool table: 0.9099, IoU.pillow: 0.5507, IoU.screen door: 0.6726, IoU.stairway: 0.2435, IoU.river: 0.1141, IoU.bridge: 0.3108, IoU.bookcase: 0.4037, IoU.blind: 0.3826, IoU.coffee table: 0.5232, IoU.toilet: 0.8005, IoU.flower: 0.3698, IoU.book: 0.4182, IoU.hill: 0.1414, IoU.bench: 0.4000, IoU.countertop: 0.5230, IoU.stove: 0.6945, IoU.palm: 0.4671, IoU.kitchen island: 0.3689, IoU.computer: 0.5929, IoU.swivel chair: 0.4315, IoU.boat: 0.6878, IoU.bar: 0.2023, IoU.arcade machine: 0.6941, IoU.hovel: 0.2773, IoU.bus: 0.7705, IoU.towel: 0.6029, IoU.light: 0.4862, IoU.truck: 0.1439, IoU.tower: 0.0635, IoU.chandelier: 0.6167, IoU.awning: 0.2104, IoU.streetlight: 0.2025, IoU.booth: 0.4334, IoU.television receiver: 0.6428, IoU.airplane: 0.5664, IoU.dirt track: 0.1247, IoU.apparel: 0.3306, IoU.pole: 0.1408, IoU.land: 0.0174, IoU.bannister: 0.1040, IoU.escalator: 0.2454, IoU.ottoman: 0.4152, IoU.bottle: 0.3511, IoU.buffet: 0.4183, IoU.poster: 0.2179, IoU.stage: 0.1435, IoU.van: 0.3777, IoU.ship: 0.7410, IoU.fountain: 0.1100, IoU.conveyer belt: 0.7953, IoU.canopy: 0.2384, IoU.washer: 0.8148, IoU.plaything: 0.1964, IoU.swimming pool: 0.7388, IoU.stool: 0.4049, IoU.barrel: 0.4027, IoU.basket: 0.2341, IoU.waterfall: 0.5192, IoU.tent: 0.9009, IoU.bag: 0.1717, IoU.minibike: 0.5830, IoU.cradle: 0.8293, IoU.oven: 0.4691, IoU.ball: 0.4008, IoU.food: 0.5149, IoU.step: 0.0924, IoU.tank: 0.4988, IoU.trade name: 0.2091, IoU.microwave: 0.7745, IoU.pot: 0.2844, IoU.animal: 0.5278, IoU.bicycle: 0.5026, IoU.lake: 0.5737, IoU.dishwasher: 0.6631, IoU.screen: 0.6467, IoU.blanket: 0.1401, IoU.sculpture: 0.5524, IoU.hood: 0.5367, IoU.sconce: 0.4080, IoU.vase: 0.2973, IoU.traffic light: 0.2299, IoU.tray: 0.0385, IoU.ashcan: 0.3918, IoU.fan: 0.5448, IoU.pier: 0.4741, IoU.crt screen: 0.0902, IoU.plate: 0.4730, IoU.monitor: 0.0693, IoU.bulletin board: 0.4327, IoU.shower: 0.0125, IoU.radiator: 0.5509, IoU.glass: 0.0901, IoU.clock: 0.2551, IoU.flag: 0.3514, Acc.background: nan, Acc.wall: 0.8722, Acc.building: 0.9199, Acc.sky: 0.9773, Acc.floor: 0.9108, Acc.tree: 0.8673, Acc.ceiling: 0.9392, Acc.road: 0.9008, Acc.bed : 0.9457, Acc.windowpane: 0.7793, Acc.grass: 0.7906, Acc.cabinet: 0.7274, Acc.sidewalk: 0.7904, Acc.person: 0.9218, Acc.earth: 0.4780, Acc.door: 0.5768, Acc.table: 0.7528, Acc.mountain: 0.7311, Acc.plant: 0.5735, Acc.curtain: 0.8257, Acc.chair: 0.6653, Acc.car: 0.9177, Acc.water: 0.7729, Acc.painting: 0.8464, Acc.sofa: 0.8178, Acc.shelf: 0.5594, Acc.house: 0.6141, Acc.sea: 0.7453, Acc.mirror: 0.7294, Acc.rug: 0.7444, Acc.field: 0.4617, Acc.armchair: 0.5186, Acc.seat: 0.8399, Acc.fence: 0.5682, Acc.desk: 0.6647, Acc.rock: 0.5639, Acc.wardrobe: 0.6735, Acc.lamp: 0.7063, Acc.bathtub: 0.8260, Acc.railing: 0.4666, Acc.cushion: 0.7242, Acc.base: 0.2914, Acc.box: 0.3305, Acc.column: 0.6194, Acc.signboard: 0.4208, Acc.chest of drawers: 0.5857, Acc.counter: 0.4779, Acc.sand: 0.6186, Acc.sink: 0.7817, Acc.skyscraper: 0.6651, Acc.fireplace: 0.8269, Acc.refrigerator: 0.8481, Acc.grandstand: 0.6853, Acc.path: 0.2959, Acc.stairs: 0.3911, Acc.runway: 0.8572, Acc.case: 0.5701, Acc.pool table: 0.9414, Acc.pillow: 0.6423, Acc.screen door: 0.7609, Acc.stairway: 0.3839, Acc.river: 0.2015, Acc.bridge: 0.3574, Acc.bookcase: 0.6223, Acc.blind: 0.4242, Acc.coffee table: 0.7748, Acc.toilet: 0.9008, Acc.flower: 0.5309, Acc.book: 0.6343, Acc.hill: 0.2586, Acc.bench: 0.5220, Acc.countertop: 0.7386, Acc.stove: 0.8173, Acc.palm: 0.6280, Acc.kitchen island: 0.6200, Acc.computer: 0.6715, Acc.swivel chair: 0.5845, Acc.boat: 0.7968, Acc.bar: 0.2668, Acc.arcade machine: 0.7189, Acc.hovel: 0.3145, Acc.bus: 0.9053, Acc.towel: 0.6866, Acc.light: 0.5669, Acc.truck: 0.1960, Acc.tower: 0.1003, Acc.chandelier: 0.7805, Acc.awning: 0.2391, Acc.streetlight: 0.2501, Acc.booth: 0.4527, Acc.television receiver: 0.7373, Acc.airplane: 0.6183, Acc.dirt track: 0.3828, Acc.apparel: 0.6089, Acc.pole: 0.1723, Acc.land: 0.0214, Acc.bannister: 0.1445, Acc.escalator: 0.2707, Acc.ottoman: 0.6283, Acc.bottle: 0.6030, Acc.buffet: 0.4869, Acc.poster: 0.3029, Acc.stage: 0.1870, Acc.van: 0.5037, Acc.ship: 0.9394, Acc.fountain: 0.1131, Acc.conveyer belt: 0.8933, Acc.canopy: 0.2510, Acc.washer: 0.8443, Acc.plaything: 0.2631, Acc.swimming pool: 0.7973, Acc.stool: 0.5015, Acc.barrel: 0.5423, Acc.basket: 0.3426, Acc.waterfall: 0.6838, Acc.tent: 0.9825, Acc.bag: 0.2323, Acc.minibike: 0.6841, Acc.cradle: 0.9523, Acc.oven: 0.5405, Acc.ball: 0.4608, Acc.food: 0.6174, Acc.step: 0.1048, Acc.tank: 0.5554, Acc.trade name: 0.2193, Acc.microwave: 0.8539, Acc.pot: 0.3216, Acc.animal: 0.5728, Acc.bicycle: 0.6191, Acc.lake: 0.6319, Acc.dishwasher: 0.7475, Acc.screen: 0.8010, Acc.blanket: 0.1578, Acc.sculpture: 0.7925, Acc.hood: 0.5800, Acc.sconce: 0.5013, Acc.vase: 0.4994, Acc.traffic light: 0.2700, Acc.tray: 0.0544, Acc.ashcan: 0.4624, Acc.fan: 0.6432, Acc.pier: 0.6837, Acc.crt screen: 0.2711, Acc.plate: 0.6335, Acc.monitor: 0.0786, Acc.bulletin board: 0.5985, Acc.shower: 0.0463, Acc.radiator: 0.6040, Acc.glass: 0.0956, Acc.clock: 0.2648, Acc.flag: 0.3946 +2023-03-04 22:30:52,426 - mmseg - INFO - Iter [32050/80000] lr: 1.875e-05, eta: 2:45:46, time: 0.512, data_time: 0.331, memory: 52390, decode.loss_ce: 0.2152, decode.acc_seg: 91.2146, loss: 0.2152 +2023-03-04 22:31:01,509 - mmseg - INFO - Iter [32100/80000] lr: 1.875e-05, eta: 2:45:33, time: 0.181, data_time: 0.007, memory: 52390, decode.loss_ce: 0.2148, decode.acc_seg: 91.2789, loss: 0.2148 +2023-03-04 22:31:10,579 - mmseg - INFO - Iter [32150/80000] lr: 1.875e-05, eta: 2:45:20, time: 0.182, data_time: 0.007, memory: 52390, decode.loss_ce: 0.2284, decode.acc_seg: 90.7256, loss: 0.2284 +2023-03-04 22:31:19,220 - mmseg - INFO - Iter [32200/80000] lr: 1.875e-05, eta: 2:45:06, time: 0.173, data_time: 0.007, memory: 52390, decode.loss_ce: 0.2111, decode.acc_seg: 91.3518, loss: 0.2111 +2023-03-04 22:31:28,351 - mmseg - INFO - Iter [32250/80000] lr: 1.875e-05, eta: 2:44:53, time: 0.183, data_time: 0.006, memory: 52390, decode.loss_ce: 0.2154, decode.acc_seg: 91.1527, loss: 0.2154 +2023-03-04 22:31:37,220 - mmseg - INFO - Iter [32300/80000] lr: 1.875e-05, eta: 2:44:40, time: 0.177, data_time: 0.006, memory: 52390, decode.loss_ce: 0.2161, decode.acc_seg: 91.1565, loss: 0.2161 +2023-03-04 22:31:46,292 - mmseg - INFO - Iter [32350/80000] lr: 1.875e-05, eta: 2:44:27, time: 0.181, data_time: 0.006, memory: 52390, decode.loss_ce: 0.2127, decode.acc_seg: 91.3776, loss: 0.2127 +2023-03-04 22:31:54,917 - mmseg - INFO - Iter [32400/80000] lr: 1.875e-05, eta: 2:44:13, time: 0.173, data_time: 0.007, memory: 52390, decode.loss_ce: 0.2173, decode.acc_seg: 91.1447, loss: 0.2173 +2023-03-04 22:32:04,287 - mmseg - INFO - Iter [32450/80000] lr: 1.875e-05, eta: 2:44:01, time: 0.187, data_time: 0.007, memory: 52390, decode.loss_ce: 0.2244, decode.acc_seg: 90.8485, loss: 0.2244 +2023-03-04 22:32:12,927 - mmseg - INFO - Iter [32500/80000] lr: 1.875e-05, eta: 2:43:47, time: 0.173, data_time: 0.006, memory: 52390, decode.loss_ce: 0.2177, decode.acc_seg: 91.1001, loss: 0.2177 +2023-03-04 22:32:21,492 - mmseg - INFO - Iter [32550/80000] lr: 1.875e-05, eta: 2:43:34, time: 0.171, data_time: 0.006, memory: 52390, decode.loss_ce: 0.2252, decode.acc_seg: 90.9435, loss: 0.2252 +2023-03-04 22:32:30,088 - mmseg - INFO - Iter [32600/80000] lr: 1.875e-05, eta: 2:43:20, time: 0.172, data_time: 0.006, memory: 52390, decode.loss_ce: 0.2344, decode.acc_seg: 90.5792, loss: 0.2344 +2023-03-04 22:32:41,371 - mmseg - INFO - Iter [32650/80000] lr: 1.875e-05, eta: 2:43:11, time: 0.226, data_time: 0.054, memory: 52390, decode.loss_ce: 0.2249, decode.acc_seg: 90.8984, loss: 0.2249 +2023-03-04 22:32:50,018 - mmseg - INFO - Iter [32700/80000] lr: 1.875e-05, eta: 2:42:58, time: 0.173, data_time: 0.007, memory: 52390, decode.loss_ce: 0.2147, decode.acc_seg: 91.3366, loss: 0.2147 +2023-03-04 22:32:59,237 - mmseg - INFO - Iter [32750/80000] lr: 1.875e-05, eta: 2:42:45, time: 0.184, data_time: 0.006, memory: 52390, decode.loss_ce: 0.2196, decode.acc_seg: 90.9553, loss: 0.2196 +2023-03-04 22:33:08,324 - mmseg - INFO - Iter [32800/80000] lr: 1.875e-05, eta: 2:42:33, time: 0.182, data_time: 0.007, memory: 52390, decode.loss_ce: 0.2152, decode.acc_seg: 91.2358, loss: 0.2152 +2023-03-04 22:33:16,977 - mmseg - INFO - Iter [32850/80000] lr: 1.875e-05, eta: 2:42:19, time: 0.173, data_time: 0.007, memory: 52390, decode.loss_ce: 0.2283, decode.acc_seg: 90.7135, loss: 0.2283 +2023-03-04 22:33:25,568 - mmseg - INFO - Iter [32900/80000] lr: 1.875e-05, eta: 2:42:05, time: 0.172, data_time: 0.006, memory: 52390, decode.loss_ce: 0.2128, decode.acc_seg: 91.2260, loss: 0.2128 +2023-03-04 22:33:34,748 - mmseg - INFO - Iter [32950/80000] lr: 1.875e-05, eta: 2:41:53, time: 0.184, data_time: 0.006, memory: 52390, decode.loss_ce: 0.2187, decode.acc_seg: 91.2253, loss: 0.2187 +2023-03-04 22:33:43,428 - mmseg - INFO - Exp name: ablation_segformer_mit_b2_segformer_head_unet_fc_single_step_ade_pretrained_freeze_embed_80k_ade20k151_logits.py +2023-03-04 22:33:43,429 - mmseg - INFO - Iter [33000/80000] lr: 1.875e-05, eta: 2:41:40, time: 0.174, data_time: 0.006, memory: 52390, decode.loss_ce: 0.2235, decode.acc_seg: 91.0319, loss: 0.2235 +2023-03-04 22:33:52,604 - mmseg - INFO - Iter [33050/80000] lr: 1.875e-05, eta: 2:41:27, time: 0.183, data_time: 0.006, memory: 52390, decode.loss_ce: 0.2169, decode.acc_seg: 91.2653, loss: 0.2169 +2023-03-04 22:34:01,607 - mmseg - INFO - Iter [33100/80000] lr: 1.875e-05, eta: 2:41:14, time: 0.180, data_time: 0.007, memory: 52390, decode.loss_ce: 0.2185, decode.acc_seg: 91.0301, loss: 0.2185 +2023-03-04 22:34:10,650 - mmseg - INFO - Iter [33150/80000] lr: 1.875e-05, eta: 2:41:02, time: 0.181, data_time: 0.006, memory: 52390, decode.loss_ce: 0.2144, decode.acc_seg: 91.2462, loss: 0.2144 +2023-03-04 22:34:20,092 - mmseg - INFO - Iter [33200/80000] lr: 1.875e-05, eta: 2:40:50, time: 0.189, data_time: 0.006, memory: 52390, decode.loss_ce: 0.2180, decode.acc_seg: 91.0588, loss: 0.2180 +2023-03-04 22:34:31,361 - mmseg - INFO - Iter [33250/80000] lr: 1.875e-05, eta: 2:40:41, time: 0.225, data_time: 0.055, memory: 52390, decode.loss_ce: 0.2173, decode.acc_seg: 90.9803, loss: 0.2173 +2023-03-04 22:34:40,887 - mmseg - INFO - Iter [33300/80000] lr: 1.875e-05, eta: 2:40:29, time: 0.190, data_time: 0.006, memory: 52390, decode.loss_ce: 0.2244, decode.acc_seg: 91.0236, loss: 0.2244 +2023-03-04 22:34:50,245 - mmseg - INFO - Iter [33350/80000] lr: 1.875e-05, eta: 2:40:17, time: 0.187, data_time: 0.007, memory: 52390, decode.loss_ce: 0.2177, decode.acc_seg: 91.0898, loss: 0.2177 +2023-03-04 22:34:59,164 - mmseg - INFO - Iter [33400/80000] lr: 1.875e-05, eta: 2:40:04, time: 0.179, data_time: 0.007, memory: 52390, decode.loss_ce: 0.2198, decode.acc_seg: 90.9474, loss: 0.2198 +2023-03-04 22:35:08,150 - mmseg - INFO - Iter [33450/80000] lr: 1.875e-05, eta: 2:39:52, time: 0.180, data_time: 0.006, memory: 52390, decode.loss_ce: 0.2232, decode.acc_seg: 91.1457, loss: 0.2232 +2023-03-04 22:35:17,727 - mmseg - INFO - Iter [33500/80000] lr: 1.875e-05, eta: 2:39:40, time: 0.191, data_time: 0.006, memory: 52390, decode.loss_ce: 0.2226, decode.acc_seg: 90.7943, loss: 0.2226 +2023-03-04 22:35:26,578 - mmseg - INFO - Iter [33550/80000] lr: 1.875e-05, eta: 2:39:27, time: 0.177, data_time: 0.007, memory: 52390, decode.loss_ce: 0.2246, decode.acc_seg: 90.9592, loss: 0.2246 +2023-03-04 22:35:35,164 - mmseg - INFO - Iter [33600/80000] lr: 1.875e-05, eta: 2:39:14, time: 0.172, data_time: 0.007, memory: 52390, decode.loss_ce: 0.2143, decode.acc_seg: 91.1779, loss: 0.2143 +2023-03-04 22:35:43,877 - mmseg - INFO - Iter [33650/80000] lr: 1.875e-05, eta: 2:39:01, time: 0.174, data_time: 0.006, memory: 52390, decode.loss_ce: 0.2184, decode.acc_seg: 91.1574, loss: 0.2184 +2023-03-04 22:35:52,933 - mmseg - INFO - Iter [33700/80000] lr: 1.875e-05, eta: 2:38:48, time: 0.181, data_time: 0.007, memory: 52390, decode.loss_ce: 0.2163, decode.acc_seg: 91.1968, loss: 0.2163 +2023-03-04 22:36:01,898 - mmseg - INFO - Iter [33750/80000] lr: 1.875e-05, eta: 2:38:35, time: 0.179, data_time: 0.006, memory: 52390, decode.loss_ce: 0.2137, decode.acc_seg: 91.2231, loss: 0.2137 +2023-03-04 22:36:10,697 - mmseg - INFO - Iter [33800/80000] lr: 1.875e-05, eta: 2:38:22, time: 0.176, data_time: 0.006, memory: 52390, decode.loss_ce: 0.2133, decode.acc_seg: 91.3463, loss: 0.2133 +2023-03-04 22:36:19,689 - mmseg - INFO - Iter [33850/80000] lr: 1.875e-05, eta: 2:38:10, time: 0.180, data_time: 0.006, memory: 52390, decode.loss_ce: 0.2120, decode.acc_seg: 91.3510, loss: 0.2120 +2023-03-04 22:36:31,232 - mmseg - INFO - Iter [33900/80000] lr: 1.875e-05, eta: 2:38:02, time: 0.231, data_time: 0.057, memory: 52390, decode.loss_ce: 0.2164, decode.acc_seg: 91.2669, loss: 0.2164 +2023-03-04 22:36:39,930 - mmseg - INFO - Iter [33950/80000] lr: 1.875e-05, eta: 2:37:49, time: 0.174, data_time: 0.006, memory: 52390, decode.loss_ce: 0.2267, decode.acc_seg: 90.7576, loss: 0.2267 +2023-03-04 22:36:48,713 - mmseg - INFO - Exp name: ablation_segformer_mit_b2_segformer_head_unet_fc_single_step_ade_pretrained_freeze_embed_80k_ade20k151_logits.py +2023-03-04 22:36:48,714 - mmseg - INFO - Iter [34000/80000] lr: 1.875e-05, eta: 2:37:36, time: 0.176, data_time: 0.007, memory: 52390, decode.loss_ce: 0.2049, decode.acc_seg: 91.6357, loss: 0.2049 +2023-03-04 22:36:57,567 - mmseg - INFO - Iter [34050/80000] lr: 1.875e-05, eta: 2:37:23, time: 0.177, data_time: 0.006, memory: 52390, decode.loss_ce: 0.2165, decode.acc_seg: 91.1980, loss: 0.2165 +2023-03-04 22:37:06,369 - mmseg - INFO - Iter [34100/80000] lr: 1.875e-05, eta: 2:37:10, time: 0.176, data_time: 0.006, memory: 52390, decode.loss_ce: 0.2231, decode.acc_seg: 91.0008, loss: 0.2231 +2023-03-04 22:37:15,292 - mmseg - INFO - Iter [34150/80000] lr: 1.875e-05, eta: 2:36:57, time: 0.178, data_time: 0.006, memory: 52390, decode.loss_ce: 0.2194, decode.acc_seg: 90.7200, loss: 0.2194 +2023-03-04 22:37:24,269 - mmseg - INFO - Iter [34200/80000] lr: 1.875e-05, eta: 2:36:45, time: 0.180, data_time: 0.006, memory: 52390, decode.loss_ce: 0.2130, decode.acc_seg: 91.1992, loss: 0.2130 +2023-03-04 22:37:33,064 - mmseg - INFO - Iter [34250/80000] lr: 1.875e-05, eta: 2:36:32, time: 0.176, data_time: 0.006, memory: 52390, decode.loss_ce: 0.2186, decode.acc_seg: 91.0727, loss: 0.2186 +2023-03-04 22:37:41,688 - mmseg - INFO - Iter [34300/80000] lr: 1.875e-05, eta: 2:36:19, time: 0.172, data_time: 0.006, memory: 52390, decode.loss_ce: 0.2247, decode.acc_seg: 90.9573, loss: 0.2247 +2023-03-04 22:37:50,248 - mmseg - INFO - Iter [34350/80000] lr: 1.875e-05, eta: 2:36:06, time: 0.171, data_time: 0.006, memory: 52390, decode.loss_ce: 0.2152, decode.acc_seg: 91.3493, loss: 0.2152 +2023-03-04 22:37:59,023 - mmseg - INFO - Iter [34400/80000] lr: 1.875e-05, eta: 2:35:53, time: 0.175, data_time: 0.006, memory: 52390, decode.loss_ce: 0.2281, decode.acc_seg: 90.6821, loss: 0.2281 +2023-03-04 22:38:08,059 - mmseg - INFO - Iter [34450/80000] lr: 1.875e-05, eta: 2:35:41, time: 0.181, data_time: 0.006, memory: 52390, decode.loss_ce: 0.2191, decode.acc_seg: 91.0799, loss: 0.2191 +2023-03-04 22:38:16,633 - mmseg - INFO - Iter [34500/80000] lr: 1.875e-05, eta: 2:35:27, time: 0.172, data_time: 0.006, memory: 52390, decode.loss_ce: 0.2303, decode.acc_seg: 90.6383, loss: 0.2303 +2023-03-04 22:38:28,081 - mmseg - INFO - Iter [34550/80000] lr: 1.875e-05, eta: 2:35:19, time: 0.229, data_time: 0.055, memory: 52390, decode.loss_ce: 0.2231, decode.acc_seg: 90.8839, loss: 0.2231 +2023-03-04 22:38:36,882 - mmseg - INFO - Iter [34600/80000] lr: 1.875e-05, eta: 2:35:07, time: 0.176, data_time: 0.006, memory: 52390, decode.loss_ce: 0.2140, decode.acc_seg: 91.2642, loss: 0.2140 +2023-03-04 22:38:45,671 - mmseg - INFO - Iter [34650/80000] lr: 1.875e-05, eta: 2:34:54, time: 0.176, data_time: 0.006, memory: 52390, decode.loss_ce: 0.2250, decode.acc_seg: 90.7500, loss: 0.2250 +2023-03-04 22:38:54,552 - mmseg - INFO - Iter [34700/80000] lr: 1.875e-05, eta: 2:34:41, time: 0.177, data_time: 0.006, memory: 52390, decode.loss_ce: 0.2076, decode.acc_seg: 91.4974, loss: 0.2076 +2023-03-04 22:39:03,613 - mmseg - INFO - Iter [34750/80000] lr: 1.875e-05, eta: 2:34:29, time: 0.181, data_time: 0.007, memory: 52390, decode.loss_ce: 0.2162, decode.acc_seg: 91.1648, loss: 0.2162 +2023-03-04 22:39:12,408 - mmseg - INFO - Iter [34800/80000] lr: 1.875e-05, eta: 2:34:16, time: 0.176, data_time: 0.007, memory: 52390, decode.loss_ce: 0.2336, decode.acc_seg: 90.7295, loss: 0.2336 +2023-03-04 22:39:21,473 - mmseg - INFO - Iter [34850/80000] lr: 1.875e-05, eta: 2:34:04, time: 0.181, data_time: 0.006, memory: 52390, decode.loss_ce: 0.2099, decode.acc_seg: 91.3928, loss: 0.2099 +2023-03-04 22:39:30,435 - mmseg - INFO - Iter [34900/80000] lr: 1.875e-05, eta: 2:33:52, time: 0.179, data_time: 0.007, memory: 52390, decode.loss_ce: 0.2134, decode.acc_seg: 91.3326, loss: 0.2134 +2023-03-04 22:39:39,234 - mmseg - INFO - Iter [34950/80000] lr: 1.875e-05, eta: 2:33:39, time: 0.176, data_time: 0.007, memory: 52390, decode.loss_ce: 0.2129, decode.acc_seg: 91.2637, loss: 0.2129 +2023-03-04 22:39:47,958 - mmseg - INFO - Exp name: ablation_segformer_mit_b2_segformer_head_unet_fc_single_step_ade_pretrained_freeze_embed_80k_ade20k151_logits.py +2023-03-04 22:39:47,959 - mmseg - INFO - Iter [35000/80000] lr: 1.875e-05, eta: 2:33:26, time: 0.174, data_time: 0.007, memory: 52390, decode.loss_ce: 0.2251, decode.acc_seg: 91.0145, loss: 0.2251 +2023-03-04 22:39:56,793 - mmseg - INFO - Iter [35050/80000] lr: 1.875e-05, eta: 2:33:14, time: 0.177, data_time: 0.006, memory: 52390, decode.loss_ce: 0.2276, decode.acc_seg: 90.7860, loss: 0.2276 +2023-03-04 22:40:05,912 - mmseg - INFO - Iter [35100/80000] lr: 1.875e-05, eta: 2:33:02, time: 0.182, data_time: 0.006, memory: 52390, decode.loss_ce: 0.2204, decode.acc_seg: 91.0984, loss: 0.2204 +2023-03-04 22:40:17,217 - mmseg - INFO - Iter [35150/80000] lr: 1.875e-05, eta: 2:32:53, time: 0.226, data_time: 0.054, memory: 52390, decode.loss_ce: 0.2134, decode.acc_seg: 91.2404, loss: 0.2134 +2023-03-04 22:40:26,100 - mmseg - INFO - Iter [35200/80000] lr: 1.875e-05, eta: 2:32:41, time: 0.178, data_time: 0.007, memory: 52390, decode.loss_ce: 0.2205, decode.acc_seg: 91.0586, loss: 0.2205 +2023-03-04 22:40:35,028 - mmseg - INFO - Iter [35250/80000] lr: 1.875e-05, eta: 2:32:28, time: 0.179, data_time: 0.007, memory: 52390, decode.loss_ce: 0.2109, decode.acc_seg: 91.3581, loss: 0.2109 +2023-03-04 22:40:43,813 - mmseg - INFO - Iter [35300/80000] lr: 1.875e-05, eta: 2:32:16, time: 0.175, data_time: 0.006, memory: 52390, decode.loss_ce: 0.2218, decode.acc_seg: 90.9918, loss: 0.2218 +2023-03-04 22:40:52,657 - mmseg - INFO - Iter [35350/80000] lr: 1.875e-05, eta: 2:32:03, time: 0.177, data_time: 0.007, memory: 52390, decode.loss_ce: 0.2159, decode.acc_seg: 91.1863, loss: 0.2159 +2023-03-04 22:41:01,332 - mmseg - INFO - Iter [35400/80000] lr: 1.875e-05, eta: 2:31:51, time: 0.173, data_time: 0.006, memory: 52390, decode.loss_ce: 0.2192, decode.acc_seg: 91.0699, loss: 0.2192 +2023-03-04 22:41:10,069 - mmseg - INFO - Iter [35450/80000] lr: 1.875e-05, eta: 2:31:38, time: 0.175, data_time: 0.006, memory: 52390, decode.loss_ce: 0.2204, decode.acc_seg: 91.0723, loss: 0.2204 +2023-03-04 22:41:18,924 - mmseg - INFO - Iter [35500/80000] lr: 1.875e-05, eta: 2:31:26, time: 0.177, data_time: 0.006, memory: 52390, decode.loss_ce: 0.2182, decode.acc_seg: 91.1872, loss: 0.2182 +2023-03-04 22:41:28,286 - mmseg - INFO - Iter [35550/80000] lr: 1.875e-05, eta: 2:31:14, time: 0.187, data_time: 0.006, memory: 52390, decode.loss_ce: 0.2192, decode.acc_seg: 91.0252, loss: 0.2192 +2023-03-04 22:41:37,080 - mmseg - INFO - Iter [35600/80000] lr: 1.875e-05, eta: 2:31:02, time: 0.176, data_time: 0.007, memory: 52390, decode.loss_ce: 0.2153, decode.acc_seg: 91.1868, loss: 0.2153 +2023-03-04 22:41:45,791 - mmseg - INFO - Iter [35650/80000] lr: 1.875e-05, eta: 2:30:49, time: 0.174, data_time: 0.007, memory: 52390, decode.loss_ce: 0.2142, decode.acc_seg: 91.2284, loss: 0.2142 +2023-03-04 22:41:54,773 - mmseg - INFO - Iter [35700/80000] lr: 1.875e-05, eta: 2:30:37, time: 0.179, data_time: 0.006, memory: 52390, decode.loss_ce: 0.2092, decode.acc_seg: 91.4351, loss: 0.2092 +2023-03-04 22:42:03,522 - mmseg - INFO - Iter [35750/80000] lr: 1.875e-05, eta: 2:30:24, time: 0.175, data_time: 0.007, memory: 52390, decode.loss_ce: 0.2252, decode.acc_seg: 90.7603, loss: 0.2252 +2023-03-04 22:42:15,393 - mmseg - INFO - Iter [35800/80000] lr: 1.875e-05, eta: 2:30:17, time: 0.237, data_time: 0.055, memory: 52390, decode.loss_ce: 0.2173, decode.acc_seg: 91.0343, loss: 0.2173 +2023-03-04 22:42:24,288 - mmseg - INFO - Iter [35850/80000] lr: 1.875e-05, eta: 2:30:05, time: 0.178, data_time: 0.007, memory: 52390, decode.loss_ce: 0.2174, decode.acc_seg: 91.1305, loss: 0.2174 +2023-03-04 22:42:32,858 - mmseg - INFO - Iter [35900/80000] lr: 1.875e-05, eta: 2:29:52, time: 0.171, data_time: 0.006, memory: 52390, decode.loss_ce: 0.2202, decode.acc_seg: 91.0582, loss: 0.2202 +2023-03-04 22:42:42,286 - mmseg - INFO - Iter [35950/80000] lr: 1.875e-05, eta: 2:29:40, time: 0.188, data_time: 0.006, memory: 52390, decode.loss_ce: 0.2207, decode.acc_seg: 91.0472, loss: 0.2207 +2023-03-04 22:42:51,589 - mmseg - INFO - Exp name: ablation_segformer_mit_b2_segformer_head_unet_fc_single_step_ade_pretrained_freeze_embed_80k_ade20k151_logits.py +2023-03-04 22:42:51,590 - mmseg - INFO - Iter [36000/80000] lr: 1.875e-05, eta: 2:29:29, time: 0.186, data_time: 0.007, memory: 52390, decode.loss_ce: 0.2153, decode.acc_seg: 91.2423, loss: 0.2153 +2023-03-04 22:43:00,327 - mmseg - INFO - Iter [36050/80000] lr: 1.875e-05, eta: 2:29:16, time: 0.175, data_time: 0.007, memory: 52390, decode.loss_ce: 0.2072, decode.acc_seg: 91.5449, loss: 0.2072 +2023-03-04 22:43:09,484 - mmseg - INFO - Iter [36100/80000] lr: 1.875e-05, eta: 2:29:04, time: 0.183, data_time: 0.006, memory: 52390, decode.loss_ce: 0.2196, decode.acc_seg: 91.1247, loss: 0.2196 +2023-03-04 22:43:18,242 - mmseg - INFO - Iter [36150/80000] lr: 1.875e-05, eta: 2:28:52, time: 0.175, data_time: 0.007, memory: 52390, decode.loss_ce: 0.2213, decode.acc_seg: 91.0007, loss: 0.2213 +2023-03-04 22:43:27,123 - mmseg - INFO - Iter [36200/80000] lr: 1.875e-05, eta: 2:28:40, time: 0.177, data_time: 0.006, memory: 52390, decode.loss_ce: 0.2196, decode.acc_seg: 91.1203, loss: 0.2196 +2023-03-04 22:43:35,981 - mmseg - INFO - Iter [36250/80000] lr: 1.875e-05, eta: 2:28:28, time: 0.177, data_time: 0.007, memory: 52390, decode.loss_ce: 0.2179, decode.acc_seg: 91.1570, loss: 0.2179 +2023-03-04 22:43:45,296 - mmseg - INFO - Iter [36300/80000] lr: 1.875e-05, eta: 2:28:16, time: 0.186, data_time: 0.008, memory: 52390, decode.loss_ce: 0.2167, decode.acc_seg: 91.1952, loss: 0.2167 +2023-03-04 22:43:54,099 - mmseg - INFO - Iter [36350/80000] lr: 1.875e-05, eta: 2:28:04, time: 0.176, data_time: 0.006, memory: 52390, decode.loss_ce: 0.2192, decode.acc_seg: 90.9653, loss: 0.2192 +2023-03-04 22:44:05,611 - mmseg - INFO - Iter [36400/80000] lr: 1.875e-05, eta: 2:27:56, time: 0.230, data_time: 0.052, memory: 52390, decode.loss_ce: 0.2248, decode.acc_seg: 90.7616, loss: 0.2248 +2023-03-04 22:44:14,186 - mmseg - INFO - Iter [36450/80000] lr: 1.875e-05, eta: 2:27:43, time: 0.171, data_time: 0.006, memory: 52390, decode.loss_ce: 0.2276, decode.acc_seg: 90.7281, loss: 0.2276 +2023-03-04 22:44:23,292 - mmseg - INFO - Iter [36500/80000] lr: 1.875e-05, eta: 2:27:31, time: 0.182, data_time: 0.006, memory: 52390, decode.loss_ce: 0.2200, decode.acc_seg: 91.0101, loss: 0.2200 +2023-03-04 22:44:32,677 - mmseg - INFO - Iter [36550/80000] lr: 1.875e-05, eta: 2:27:20, time: 0.188, data_time: 0.007, memory: 52390, decode.loss_ce: 0.2126, decode.acc_seg: 91.2654, loss: 0.2126 +2023-03-04 22:44:41,817 - mmseg - INFO - Iter [36600/80000] lr: 1.875e-05, eta: 2:27:08, time: 0.183, data_time: 0.007, memory: 52390, decode.loss_ce: 0.2199, decode.acc_seg: 91.0639, loss: 0.2199 +2023-03-04 22:44:50,417 - mmseg - INFO - Iter [36650/80000] lr: 1.875e-05, eta: 2:26:56, time: 0.172, data_time: 0.007, memory: 52390, decode.loss_ce: 0.2083, decode.acc_seg: 91.3764, loss: 0.2083 +2023-03-04 22:44:59,085 - mmseg - INFO - Iter [36700/80000] lr: 1.875e-05, eta: 2:26:43, time: 0.173, data_time: 0.007, memory: 52390, decode.loss_ce: 0.2243, decode.acc_seg: 90.8732, loss: 0.2243 +2023-03-04 22:45:07,948 - mmseg - INFO - Iter [36750/80000] lr: 1.875e-05, eta: 2:26:31, time: 0.177, data_time: 0.006, memory: 52390, decode.loss_ce: 0.2212, decode.acc_seg: 91.0053, loss: 0.2212 +2023-03-04 22:45:16,421 - mmseg - INFO - Iter [36800/80000] lr: 1.875e-05, eta: 2:26:18, time: 0.169, data_time: 0.006, memory: 52390, decode.loss_ce: 0.2193, decode.acc_seg: 91.3119, loss: 0.2193 +2023-03-04 22:45:25,627 - mmseg - INFO - Iter [36850/80000] lr: 1.875e-05, eta: 2:26:07, time: 0.184, data_time: 0.006, memory: 52390, decode.loss_ce: 0.2196, decode.acc_seg: 91.0734, loss: 0.2196 +2023-03-04 22:45:34,522 - mmseg - INFO - Iter [36900/80000] lr: 1.875e-05, eta: 2:25:55, time: 0.178, data_time: 0.006, memory: 52390, decode.loss_ce: 0.2210, decode.acc_seg: 90.9840, loss: 0.2210 +2023-03-04 22:45:43,478 - mmseg - INFO - Iter [36950/80000] lr: 1.875e-05, eta: 2:25:43, time: 0.179, data_time: 0.006, memory: 52390, decode.loss_ce: 0.2197, decode.acc_seg: 90.9859, loss: 0.2197 +2023-03-04 22:45:52,514 - mmseg - INFO - Exp name: ablation_segformer_mit_b2_segformer_head_unet_fc_single_step_ade_pretrained_freeze_embed_80k_ade20k151_logits.py +2023-03-04 22:45:52,514 - mmseg - INFO - Iter [37000/80000] lr: 1.875e-05, eta: 2:25:31, time: 0.181, data_time: 0.007, memory: 52390, decode.loss_ce: 0.2129, decode.acc_seg: 91.3421, loss: 0.2129 +2023-03-04 22:46:03,700 - mmseg - INFO - Iter [37050/80000] lr: 1.875e-05, eta: 2:25:22, time: 0.224, data_time: 0.058, memory: 52390, decode.loss_ce: 0.2263, decode.acc_seg: 90.8099, loss: 0.2263 +2023-03-04 22:46:12,539 - mmseg - INFO - Iter [37100/80000] lr: 1.875e-05, eta: 2:25:10, time: 0.177, data_time: 0.006, memory: 52390, decode.loss_ce: 0.2220, decode.acc_seg: 90.8442, loss: 0.2220 +2023-03-04 22:46:21,334 - mmseg - INFO - Iter [37150/80000] lr: 1.875e-05, eta: 2:24:58, time: 0.176, data_time: 0.007, memory: 52390, decode.loss_ce: 0.2227, decode.acc_seg: 90.8533, loss: 0.2227 +2023-03-04 22:46:30,425 - mmseg - INFO - Iter [37200/80000] lr: 1.875e-05, eta: 2:24:46, time: 0.182, data_time: 0.007, memory: 52390, decode.loss_ce: 0.2275, decode.acc_seg: 90.7906, loss: 0.2275 +2023-03-04 22:46:39,383 - mmseg - INFO - Iter [37250/80000] lr: 1.875e-05, eta: 2:24:34, time: 0.179, data_time: 0.006, memory: 52390, decode.loss_ce: 0.2085, decode.acc_seg: 91.5176, loss: 0.2085 +2023-03-04 22:46:48,377 - mmseg - INFO - Iter [37300/80000] lr: 1.875e-05, eta: 2:24:23, time: 0.180, data_time: 0.007, memory: 52390, decode.loss_ce: 0.2168, decode.acc_seg: 91.2629, loss: 0.2168 +2023-03-04 22:46:57,091 - mmseg - INFO - Iter [37350/80000] lr: 1.875e-05, eta: 2:24:10, time: 0.174, data_time: 0.007, memory: 52390, decode.loss_ce: 0.2238, decode.acc_seg: 90.8644, loss: 0.2238 +2023-03-04 22:47:06,240 - mmseg - INFO - Iter [37400/80000] lr: 1.875e-05, eta: 2:23:59, time: 0.183, data_time: 0.006, memory: 52390, decode.loss_ce: 0.2127, decode.acc_seg: 91.3755, loss: 0.2127 +2023-03-04 22:47:14,986 - mmseg - INFO - Iter [37450/80000] lr: 1.875e-05, eta: 2:23:47, time: 0.175, data_time: 0.007, memory: 52390, decode.loss_ce: 0.2107, decode.acc_seg: 91.3888, loss: 0.2107 +2023-03-04 22:47:23,829 - mmseg - INFO - Iter [37500/80000] lr: 1.875e-05, eta: 2:23:35, time: 0.177, data_time: 0.007, memory: 52390, decode.loss_ce: 0.2232, decode.acc_seg: 90.9190, loss: 0.2232 +2023-03-04 22:47:32,981 - mmseg - INFO - Iter [37550/80000] lr: 1.875e-05, eta: 2:23:23, time: 0.183, data_time: 0.006, memory: 52390, decode.loss_ce: 0.2181, decode.acc_seg: 91.0353, loss: 0.2181 +2023-03-04 22:47:41,974 - mmseg - INFO - Iter [37600/80000] lr: 1.875e-05, eta: 2:23:11, time: 0.180, data_time: 0.006, memory: 52390, decode.loss_ce: 0.2123, decode.acc_seg: 91.4613, loss: 0.2123 +2023-03-04 22:47:51,104 - mmseg - INFO - Iter [37650/80000] lr: 1.875e-05, eta: 2:23:00, time: 0.183, data_time: 0.007, memory: 52390, decode.loss_ce: 0.2176, decode.acc_seg: 91.0425, loss: 0.2176 +2023-03-04 22:48:02,259 - mmseg - INFO - Iter [37700/80000] lr: 1.875e-05, eta: 2:22:51, time: 0.223, data_time: 0.053, memory: 52390, decode.loss_ce: 0.2174, decode.acc_seg: 91.1510, loss: 0.2174 +2023-03-04 22:48:11,070 - mmseg - INFO - Iter [37750/80000] lr: 1.875e-05, eta: 2:22:39, time: 0.176, data_time: 0.006, memory: 52390, decode.loss_ce: 0.2197, decode.acc_seg: 90.9812, loss: 0.2197 +2023-03-04 22:48:20,163 - mmseg - INFO - Iter [37800/80000] lr: 1.875e-05, eta: 2:22:28, time: 0.182, data_time: 0.007, memory: 52390, decode.loss_ce: 0.2165, decode.acc_seg: 91.2572, loss: 0.2165 +2023-03-04 22:48:29,430 - mmseg - INFO - Iter [37850/80000] lr: 1.875e-05, eta: 2:22:16, time: 0.185, data_time: 0.006, memory: 52390, decode.loss_ce: 0.2087, decode.acc_seg: 91.4791, loss: 0.2087 +2023-03-04 22:48:38,288 - mmseg - INFO - Iter [37900/80000] lr: 1.875e-05, eta: 2:22:04, time: 0.177, data_time: 0.006, memory: 52390, decode.loss_ce: 0.2201, decode.acc_seg: 91.0402, loss: 0.2201 +2023-03-04 22:48:47,409 - mmseg - INFO - Iter [37950/80000] lr: 1.875e-05, eta: 2:21:53, time: 0.182, data_time: 0.007, memory: 52390, decode.loss_ce: 0.2109, decode.acc_seg: 91.3116, loss: 0.2109 +2023-03-04 22:48:56,261 - mmseg - INFO - Exp name: ablation_segformer_mit_b2_segformer_head_unet_fc_single_step_ade_pretrained_freeze_embed_80k_ade20k151_logits.py +2023-03-04 22:48:56,262 - mmseg - INFO - Iter [38000/80000] lr: 1.875e-05, eta: 2:21:41, time: 0.177, data_time: 0.006, memory: 52390, decode.loss_ce: 0.2136, decode.acc_seg: 91.2019, loss: 0.2136 +2023-03-04 22:49:05,205 - mmseg - INFO - Iter [38050/80000] lr: 1.875e-05, eta: 2:21:29, time: 0.179, data_time: 0.006, memory: 52390, decode.loss_ce: 0.2179, decode.acc_seg: 91.0819, loss: 0.2179 +2023-03-04 22:49:13,830 - mmseg - INFO - Iter [38100/80000] lr: 1.875e-05, eta: 2:21:17, time: 0.173, data_time: 0.007, memory: 52390, decode.loss_ce: 0.2080, decode.acc_seg: 91.5021, loss: 0.2080 +2023-03-04 22:49:23,132 - mmseg - INFO - Iter [38150/80000] lr: 1.875e-05, eta: 2:21:06, time: 0.186, data_time: 0.007, memory: 52390, decode.loss_ce: 0.2165, decode.acc_seg: 91.0837, loss: 0.2165 +2023-03-04 22:49:32,127 - mmseg - INFO - Iter [38200/80000] lr: 1.875e-05, eta: 2:20:54, time: 0.180, data_time: 0.006, memory: 52390, decode.loss_ce: 0.2154, decode.acc_seg: 91.1669, loss: 0.2154 +2023-03-04 22:49:41,420 - mmseg - INFO - Iter [38250/80000] lr: 1.875e-05, eta: 2:20:43, time: 0.186, data_time: 0.006, memory: 52390, decode.loss_ce: 0.2197, decode.acc_seg: 91.0148, loss: 0.2197 +2023-03-04 22:49:52,507 - mmseg - INFO - Iter [38300/80000] lr: 1.875e-05, eta: 2:20:34, time: 0.222, data_time: 0.052, memory: 52390, decode.loss_ce: 0.2161, decode.acc_seg: 91.0830, loss: 0.2161 +2023-03-04 22:50:01,413 - mmseg - INFO - Iter [38350/80000] lr: 1.875e-05, eta: 2:20:22, time: 0.178, data_time: 0.006, memory: 52390, decode.loss_ce: 0.2099, decode.acc_seg: 91.3267, loss: 0.2099 +2023-03-04 22:50:10,421 - mmseg - INFO - Iter [38400/80000] lr: 1.875e-05, eta: 2:20:11, time: 0.180, data_time: 0.006, memory: 52390, decode.loss_ce: 0.2021, decode.acc_seg: 91.6298, loss: 0.2021 +2023-03-04 22:50:19,424 - mmseg - INFO - Iter [38450/80000] lr: 1.875e-05, eta: 2:19:59, time: 0.180, data_time: 0.006, memory: 52390, decode.loss_ce: 0.2225, decode.acc_seg: 91.1262, loss: 0.2225 +2023-03-04 22:50:28,072 - mmseg - INFO - Iter [38500/80000] lr: 1.875e-05, eta: 2:19:47, time: 0.173, data_time: 0.006, memory: 52390, decode.loss_ce: 0.2132, decode.acc_seg: 91.2708, loss: 0.2132 +2023-03-04 22:50:37,676 - mmseg - INFO - Iter [38550/80000] lr: 1.875e-05, eta: 2:19:36, time: 0.192, data_time: 0.007, memory: 52390, decode.loss_ce: 0.2138, decode.acc_seg: 91.2321, loss: 0.2138 +2023-03-04 22:50:46,933 - mmseg - INFO - Iter [38600/80000] lr: 1.875e-05, eta: 2:19:25, time: 0.185, data_time: 0.008, memory: 52390, decode.loss_ce: 0.2114, decode.acc_seg: 91.1991, loss: 0.2114 +2023-03-04 22:50:55,887 - mmseg - INFO - Iter [38650/80000] lr: 1.875e-05, eta: 2:19:13, time: 0.179, data_time: 0.006, memory: 52390, decode.loss_ce: 0.2167, decode.acc_seg: 91.0965, loss: 0.2167 +2023-03-04 22:51:04,407 - mmseg - INFO - Iter [38700/80000] lr: 1.875e-05, eta: 2:19:01, time: 0.170, data_time: 0.006, memory: 52390, decode.loss_ce: 0.2197, decode.acc_seg: 91.1550, loss: 0.2197 +2023-03-04 22:51:13,297 - mmseg - INFO - Iter [38750/80000] lr: 1.875e-05, eta: 2:18:49, time: 0.178, data_time: 0.006, memory: 52390, decode.loss_ce: 0.2239, decode.acc_seg: 90.9726, loss: 0.2239 +2023-03-04 22:51:22,076 - mmseg - INFO - Iter [38800/80000] lr: 1.875e-05, eta: 2:18:37, time: 0.176, data_time: 0.007, memory: 52390, decode.loss_ce: 0.2125, decode.acc_seg: 91.2953, loss: 0.2125 +2023-03-04 22:51:30,778 - mmseg - INFO - Iter [38850/80000] lr: 1.875e-05, eta: 2:18:25, time: 0.174, data_time: 0.006, memory: 52390, decode.loss_ce: 0.2121, decode.acc_seg: 91.3738, loss: 0.2121 +2023-03-04 22:51:39,912 - mmseg - INFO - Iter [38900/80000] lr: 1.875e-05, eta: 2:18:14, time: 0.183, data_time: 0.006, memory: 52390, decode.loss_ce: 0.2224, decode.acc_seg: 90.9501, loss: 0.2224 +2023-03-04 22:51:51,381 - mmseg - INFO - Iter [38950/80000] lr: 1.875e-05, eta: 2:18:06, time: 0.229, data_time: 0.056, memory: 52390, decode.loss_ce: 0.2131, decode.acc_seg: 91.2399, loss: 0.2131 +2023-03-04 22:52:00,402 - mmseg - INFO - Exp name: ablation_segformer_mit_b2_segformer_head_unet_fc_single_step_ade_pretrained_freeze_embed_80k_ade20k151_logits.py +2023-03-04 22:52:00,402 - mmseg - INFO - Iter [39000/80000] lr: 1.875e-05, eta: 2:17:54, time: 0.180, data_time: 0.006, memory: 52390, decode.loss_ce: 0.2111, decode.acc_seg: 91.3224, loss: 0.2111 +2023-03-04 22:52:09,256 - mmseg - INFO - Iter [39050/80000] lr: 1.875e-05, eta: 2:17:43, time: 0.177, data_time: 0.007, memory: 52390, decode.loss_ce: 0.2065, decode.acc_seg: 91.5145, loss: 0.2065 +2023-03-04 22:52:18,070 - mmseg - INFO - Iter [39100/80000] lr: 1.875e-05, eta: 2:17:31, time: 0.176, data_time: 0.006, memory: 52390, decode.loss_ce: 0.2158, decode.acc_seg: 91.2465, loss: 0.2158 +2023-03-04 22:52:27,581 - mmseg - INFO - Iter [39150/80000] lr: 1.875e-05, eta: 2:17:20, time: 0.190, data_time: 0.006, memory: 52390, decode.loss_ce: 0.2196, decode.acc_seg: 91.0305, loss: 0.2196 +2023-03-04 22:52:36,197 - mmseg - INFO - Iter [39200/80000] lr: 1.875e-05, eta: 2:17:08, time: 0.172, data_time: 0.006, memory: 52390, decode.loss_ce: 0.2220, decode.acc_seg: 91.1065, loss: 0.2220 +2023-03-04 22:52:45,033 - mmseg - INFO - Iter [39250/80000] lr: 1.875e-05, eta: 2:16:56, time: 0.176, data_time: 0.006, memory: 52390, decode.loss_ce: 0.2075, decode.acc_seg: 91.3540, loss: 0.2075 +2023-03-04 22:52:53,860 - mmseg - INFO - Iter [39300/80000] lr: 1.875e-05, eta: 2:16:44, time: 0.177, data_time: 0.007, memory: 52390, decode.loss_ce: 0.2174, decode.acc_seg: 91.0893, loss: 0.2174 +2023-03-04 22:53:02,548 - mmseg - INFO - Iter [39350/80000] lr: 1.875e-05, eta: 2:16:33, time: 0.174, data_time: 0.007, memory: 52390, decode.loss_ce: 0.2233, decode.acc_seg: 90.9002, loss: 0.2233 +2023-03-04 22:53:11,326 - mmseg - INFO - Iter [39400/80000] lr: 1.875e-05, eta: 2:16:21, time: 0.176, data_time: 0.007, memory: 52390, decode.loss_ce: 0.2178, decode.acc_seg: 91.1507, loss: 0.2178 +2023-03-04 22:53:19,954 - mmseg - INFO - Iter [39450/80000] lr: 1.875e-05, eta: 2:16:09, time: 0.173, data_time: 0.006, memory: 52390, decode.loss_ce: 0.2107, decode.acc_seg: 91.4065, loss: 0.2107 +2023-03-04 22:53:28,849 - mmseg - INFO - Iter [39500/80000] lr: 1.875e-05, eta: 2:15:57, time: 0.178, data_time: 0.006, memory: 52390, decode.loss_ce: 0.2253, decode.acc_seg: 90.6936, loss: 0.2253 +2023-03-04 22:53:40,109 - mmseg - INFO - Iter [39550/80000] lr: 1.875e-05, eta: 2:15:49, time: 0.225, data_time: 0.053, memory: 52390, decode.loss_ce: 0.2186, decode.acc_seg: 91.0434, loss: 0.2186 +2023-03-04 22:53:49,381 - mmseg - INFO - Iter [39600/80000] lr: 1.875e-05, eta: 2:15:38, time: 0.185, data_time: 0.007, memory: 52390, decode.loss_ce: 0.2233, decode.acc_seg: 90.9964, loss: 0.2233 +2023-03-04 22:53:57,856 - mmseg - INFO - Iter [39650/80000] lr: 1.875e-05, eta: 2:15:26, time: 0.169, data_time: 0.006, memory: 52390, decode.loss_ce: 0.2210, decode.acc_seg: 90.9008, loss: 0.2210 +2023-03-04 22:54:06,672 - mmseg - INFO - Iter [39700/80000] lr: 1.875e-05, eta: 2:15:14, time: 0.176, data_time: 0.006, memory: 52390, decode.loss_ce: 0.2281, decode.acc_seg: 90.8401, loss: 0.2281 +2023-03-04 22:54:15,162 - mmseg - INFO - Iter [39750/80000] lr: 1.875e-05, eta: 2:15:02, time: 0.170, data_time: 0.006, memory: 52390, decode.loss_ce: 0.2063, decode.acc_seg: 91.5539, loss: 0.2063 +2023-03-04 22:54:24,118 - mmseg - INFO - Iter [39800/80000] lr: 1.875e-05, eta: 2:14:50, time: 0.179, data_time: 0.007, memory: 52390, decode.loss_ce: 0.2133, decode.acc_seg: 91.1781, loss: 0.2133 +2023-03-04 22:54:33,141 - mmseg - INFO - Iter [39850/80000] lr: 1.875e-05, eta: 2:14:39, time: 0.180, data_time: 0.006, memory: 52390, decode.loss_ce: 0.2114, decode.acc_seg: 91.3665, loss: 0.2114 +2023-03-04 22:54:41,966 - mmseg - INFO - Iter [39900/80000] lr: 1.875e-05, eta: 2:14:27, time: 0.176, data_time: 0.007, memory: 52390, decode.loss_ce: 0.2134, decode.acc_seg: 91.2742, loss: 0.2134 +2023-03-04 22:54:50,861 - mmseg - INFO - Iter [39950/80000] lr: 1.875e-05, eta: 2:14:16, time: 0.178, data_time: 0.007, memory: 52390, decode.loss_ce: 0.2153, decode.acc_seg: 91.1435, loss: 0.2153 +2023-03-04 22:54:59,754 - mmseg - INFO - Saving checkpoint at 40000 iterations +2023-03-04 22:55:00,381 - mmseg - INFO - Exp name: ablation_segformer_mit_b2_segformer_head_unet_fc_single_step_ade_pretrained_freeze_embed_80k_ade20k151_logits.py +2023-03-04 22:55:00,381 - mmseg - INFO - Iter [40000/80000] lr: 1.875e-05, eta: 2:14:05, time: 0.191, data_time: 0.007, memory: 52390, decode.loss_ce: 0.2035, decode.acc_seg: 91.6602, loss: 0.2035 +2023-03-04 22:55:16,151 - mmseg - INFO - per class results: +2023-03-04 22:55:16,157 - mmseg - INFO - ++---------------------+-------+-------+ +| Class | IoU | Acc | ++---------------------+-------+-------+ +| background | nan | nan | +| wall | 76.34 | 87.83 | +| building | 81.41 | 90.9 | +| sky | 94.12 | 97.89 | +| floor | 81.01 | 90.72 | +| tree | 73.15 | 86.36 | +| ceiling | 83.14 | 94.21 | +| road | 81.25 | 88.17 | +| bed | 86.71 | 94.39 | +| windowpane | 58.87 | 76.24 | +| grass | 64.32 | 83.73 | +| cabinet | 59.88 | 72.21 | +| sidewalk | 61.6 | 82.05 | +| person | 78.05 | 90.24 | +| earth | 34.62 | 46.19 | +| door | 43.78 | 58.2 | +| table | 57.13 | 77.79 | +| mountain | 56.5 | 72.13 | +| plant | 49.23 | 59.73 | +| curtain | 72.81 | 85.71 | +| chair | 52.6 | 62.98 | +| car | 81.13 | 92.03 | +| water | 57.59 | 76.93 | +| painting | 69.65 | 82.77 | +| sofa | 62.44 | 82.73 | +| shelf | 42.68 | 62.78 | +| house | 42.01 | 55.39 | +| sea | 60.84 | 77.15 | +| mirror | 60.87 | 67.15 | +| rug | 65.33 | 76.01 | +| field | 29.89 | 44.83 | +| armchair | 35.54 | 52.59 | +| seat | 60.58 | 87.0 | +| fence | 40.53 | 52.61 | +| desk | 45.15 | 65.03 | +| rock | 36.15 | 62.3 | +| wardrobe | 56.48 | 67.3 | +| lamp | 58.01 | 73.21 | +| bathtub | 74.74 | 80.4 | +| railing | 33.02 | 47.05 | +| cushion | 54.02 | 67.64 | +| base | 23.8 | 29.98 | +| box | 22.71 | 32.75 | +| column | 44.91 | 57.11 | +| signboard | 36.62 | 53.03 | +| chest of drawers | 36.36 | 53.69 | +| counter | 28.62 | 34.4 | +| sand | 41.02 | 54.99 | +| sink | 63.99 | 77.37 | +| skyscraper | 60.72 | 79.79 | +| fireplace | 72.76 | 84.99 | +| refrigerator | 68.31 | 85.49 | +| grandstand | 44.13 | 70.1 | +| path | 20.95 | 28.63 | +| stairs | 31.87 | 43.0 | +| runway | 68.35 | 88.49 | +| case | 47.3 | 54.76 | +| pool table | 91.33 | 93.81 | +| pillow | 59.93 | 76.5 | +| screen door | 64.0 | 69.91 | +| stairway | 26.05 | 36.46 | +| river | 11.59 | 19.86 | +| bridge | 39.52 | 48.3 | +| bookcase | 44.47 | 64.18 | +| blind | 35.51 | 38.25 | +| coffee table | 53.51 | 74.59 | +| toilet | 81.6 | 89.09 | +| flower | 36.04 | 48.56 | +| book | 42.24 | 59.96 | +| hill | 11.47 | 16.55 | +| bench | 38.65 | 51.04 | +| countertop | 51.64 | 71.94 | +| stove | 69.14 | 82.78 | +| palm | 49.07 | 66.75 | +| kitchen island | 38.14 | 61.04 | +| computer | 59.3 | 69.71 | +| swivel chair | 43.76 | 60.2 | +| boat | 66.25 | 84.93 | +| bar | 23.58 | 33.66 | +| arcade machine | 72.37 | 76.08 | +| hovel | 25.78 | 28.23 | +| bus | 77.25 | 91.57 | +| towel | 61.66 | 70.95 | +| light | 43.43 | 47.0 | +| truck | 13.47 | 16.93 | +| tower | 7.89 | 12.46 | +| chandelier | 61.38 | 75.26 | +| awning | 23.73 | 27.87 | +| streetlight | 24.59 | 33.93 | +| booth | 43.82 | 47.43 | +| television receiver | 64.65 | 77.14 | +| airplane | 56.91 | 63.52 | +| dirt track | 12.23 | 25.16 | +| apparel | 32.51 | 53.28 | +| pole | 20.59 | 30.64 | +| land | 3.1 | 4.54 | +| bannister | 12.11 | 20.2 | +| escalator | 24.73 | 27.77 | +| ottoman | 41.77 | 55.23 | +| bottle | 33.63 | 55.45 | +| buffet | 38.72 | 45.06 | +| poster | 23.39 | 32.92 | +| stage | 13.51 | 17.38 | +| van | 38.65 | 53.07 | +| ship | 73.85 | 94.74 | +| fountain | 20.87 | 22.3 | +| conveyer belt | 79.55 | 89.98 | +| canopy | 30.56 | 34.03 | +| washer | 76.9 | 79.07 | +| plaything | 18.94 | 24.28 | +| swimming pool | 72.2 | 80.99 | +| stool | 38.82 | 48.39 | +| barrel | 39.95 | 54.69 | +| basket | 23.77 | 34.58 | +| waterfall | 49.8 | 67.81 | +| tent | 94.16 | 97.24 | +| bag | 16.3 | 24.21 | +| minibike | 59.03 | 69.78 | +| cradle | 83.72 | 94.69 | +| oven | 45.87 | 54.91 | +| ball | 46.73 | 56.99 | +| food | 43.76 | 50.03 | +| step | 9.1 | 10.3 | +| tank | 50.35 | 54.39 | +| trade name | 28.32 | 34.33 | +| microwave | 72.77 | 79.87 | +| pot | 28.65 | 31.93 | +| animal | 51.82 | 55.46 | +| bicycle | 51.31 | 68.02 | +| lake | 57.75 | 63.33 | +| dishwasher | 62.1 | 76.16 | +| screen | 66.2 | 83.61 | +| blanket | 15.93 | 18.33 | +| sculpture | 57.42 | 78.46 | +| hood | 51.68 | 53.87 | +| sconce | 41.18 | 50.29 | +| vase | 30.82 | 42.9 | +| traffic light | 31.64 | 49.61 | +| tray | 4.29 | 6.3 | +| ashcan | 38.74 | 52.47 | +| fan | 47.05 | 49.54 | +| pier | 43.13 | 68.76 | +| crt screen | 7.96 | 18.81 | +| plate | 45.68 | 58.34 | +| monitor | 18.74 | 24.49 | +| bulletin board | 40.89 | 55.86 | +| shower | 1.15 | 4.38 | +| radiator | 56.89 | 62.83 | +| glass | 9.82 | 10.57 | +| clock | 28.66 | 30.03 | +| flag | 37.78 | 43.18 | ++---------------------+-------+-------+ +2023-03-04 22:55:16,157 - mmseg - INFO - Summary: +2023-03-04 22:55:16,157 - mmseg - INFO - ++-------+-------+-------+ +| aAcc | mIoU | mAcc | ++-------+-------+-------+ +| 81.99 | 46.91 | 58.14 | ++-------+-------+-------+ +2023-03-04 22:55:16,178 - mmseg - INFO - The previous best checkpoint /mnt/petrelfs/laizeqiang/mmseg-baseline/work_dirs2/ablation_segformer_mit_b2_segformer_head_unet_fc_single_step_ade_pretrained_freeze_embed_80k_ade20k151_logits/best_mIoU_iter_32000.pth was removed +2023-03-04 22:55:16,747 - mmseg - INFO - Now best checkpoint is saved as best_mIoU_iter_40000.pth. +2023-03-04 22:55:16,748 - mmseg - INFO - Best mIoU is 0.4691 at 40000 iter. +2023-03-04 22:55:16,748 - mmseg - INFO - Exp name: ablation_segformer_mit_b2_segformer_head_unet_fc_single_step_ade_pretrained_freeze_embed_80k_ade20k151_logits.py +2023-03-04 22:55:16,748 - mmseg - INFO - Iter(val) [250] aAcc: 0.8199, mIoU: 0.4691, mAcc: 0.5814, IoU.background: nan, IoU.wall: 0.7634, IoU.building: 0.8141, IoU.sky: 0.9412, IoU.floor: 0.8101, IoU.tree: 0.7315, IoU.ceiling: 0.8314, IoU.road: 0.8125, IoU.bed : 0.8671, IoU.windowpane: 0.5887, IoU.grass: 0.6432, IoU.cabinet: 0.5988, IoU.sidewalk: 0.6160, IoU.person: 0.7805, IoU.earth: 0.3462, IoU.door: 0.4378, IoU.table: 0.5713, IoU.mountain: 0.5650, IoU.plant: 0.4923, IoU.curtain: 0.7281, IoU.chair: 0.5260, IoU.car: 0.8113, IoU.water: 0.5759, IoU.painting: 0.6965, IoU.sofa: 0.6244, IoU.shelf: 0.4268, IoU.house: 0.4201, IoU.sea: 0.6084, IoU.mirror: 0.6087, IoU.rug: 0.6533, IoU.field: 0.2989, IoU.armchair: 0.3554, IoU.seat: 0.6058, IoU.fence: 0.4053, IoU.desk: 0.4515, IoU.rock: 0.3615, IoU.wardrobe: 0.5648, IoU.lamp: 0.5801, IoU.bathtub: 0.7474, IoU.railing: 0.3302, IoU.cushion: 0.5402, IoU.base: 0.2380, IoU.box: 0.2271, IoU.column: 0.4491, IoU.signboard: 0.3662, IoU.chest of drawers: 0.3636, IoU.counter: 0.2862, IoU.sand: 0.4102, IoU.sink: 0.6399, IoU.skyscraper: 0.6072, IoU.fireplace: 0.7276, IoU.refrigerator: 0.6831, IoU.grandstand: 0.4413, IoU.path: 0.2095, IoU.stairs: 0.3187, IoU.runway: 0.6835, IoU.case: 0.4730, IoU.pool table: 0.9133, IoU.pillow: 0.5993, IoU.screen door: 0.6400, IoU.stairway: 0.2605, IoU.river: 0.1159, IoU.bridge: 0.3952, IoU.bookcase: 0.4447, IoU.blind: 0.3551, IoU.coffee table: 0.5351, IoU.toilet: 0.8160, IoU.flower: 0.3604, IoU.book: 0.4224, IoU.hill: 0.1147, IoU.bench: 0.3865, IoU.countertop: 0.5164, IoU.stove: 0.6914, IoU.palm: 0.4907, IoU.kitchen island: 0.3814, IoU.computer: 0.5930, IoU.swivel chair: 0.4376, IoU.boat: 0.6625, IoU.bar: 0.2358, IoU.arcade machine: 0.7237, IoU.hovel: 0.2578, IoU.bus: 0.7725, IoU.towel: 0.6166, IoU.light: 0.4343, IoU.truck: 0.1347, IoU.tower: 0.0789, IoU.chandelier: 0.6138, IoU.awning: 0.2373, IoU.streetlight: 0.2459, IoU.booth: 0.4382, IoU.television receiver: 0.6465, IoU.airplane: 0.5691, IoU.dirt track: 0.1223, IoU.apparel: 0.3251, IoU.pole: 0.2059, IoU.land: 0.0310, IoU.bannister: 0.1211, IoU.escalator: 0.2473, IoU.ottoman: 0.4177, IoU.bottle: 0.3363, IoU.buffet: 0.3872, IoU.poster: 0.2339, IoU.stage: 0.1351, IoU.van: 0.3865, IoU.ship: 0.7385, IoU.fountain: 0.2087, IoU.conveyer belt: 0.7955, IoU.canopy: 0.3056, IoU.washer: 0.7690, IoU.plaything: 0.1894, IoU.swimming pool: 0.7220, IoU.stool: 0.3882, IoU.barrel: 0.3995, IoU.basket: 0.2377, IoU.waterfall: 0.4980, IoU.tent: 0.9416, IoU.bag: 0.1630, IoU.minibike: 0.5903, IoU.cradle: 0.8372, IoU.oven: 0.4587, IoU.ball: 0.4673, IoU.food: 0.4376, IoU.step: 0.0910, IoU.tank: 0.5035, IoU.trade name: 0.2832, IoU.microwave: 0.7277, IoU.pot: 0.2865, IoU.animal: 0.5182, IoU.bicycle: 0.5131, IoU.lake: 0.5775, IoU.dishwasher: 0.6210, IoU.screen: 0.6620, IoU.blanket: 0.1593, IoU.sculpture: 0.5742, IoU.hood: 0.5168, IoU.sconce: 0.4118, IoU.vase: 0.3082, IoU.traffic light: 0.3164, IoU.tray: 0.0429, IoU.ashcan: 0.3874, IoU.fan: 0.4705, IoU.pier: 0.4313, IoU.crt screen: 0.0796, IoU.plate: 0.4568, IoU.monitor: 0.1874, IoU.bulletin board: 0.4089, IoU.shower: 0.0115, IoU.radiator: 0.5689, IoU.glass: 0.0982, IoU.clock: 0.2866, IoU.flag: 0.3778, Acc.background: nan, Acc.wall: 0.8783, Acc.building: 0.9090, Acc.sky: 0.9789, Acc.floor: 0.9072, Acc.tree: 0.8636, Acc.ceiling: 0.9421, Acc.road: 0.8817, Acc.bed : 0.9439, Acc.windowpane: 0.7624, Acc.grass: 0.8373, Acc.cabinet: 0.7221, Acc.sidewalk: 0.8205, Acc.person: 0.9024, Acc.earth: 0.4619, Acc.door: 0.5820, Acc.table: 0.7779, Acc.mountain: 0.7213, Acc.plant: 0.5973, Acc.curtain: 0.8571, Acc.chair: 0.6298, Acc.car: 0.9203, Acc.water: 0.7693, Acc.painting: 0.8277, Acc.sofa: 0.8273, Acc.shelf: 0.6278, Acc.house: 0.5539, Acc.sea: 0.7715, Acc.mirror: 0.6715, Acc.rug: 0.7601, Acc.field: 0.4483, Acc.armchair: 0.5259, Acc.seat: 0.8700, Acc.fence: 0.5261, Acc.desk: 0.6503, Acc.rock: 0.6230, Acc.wardrobe: 0.6730, Acc.lamp: 0.7321, Acc.bathtub: 0.8040, Acc.railing: 0.4705, Acc.cushion: 0.6764, Acc.base: 0.2998, Acc.box: 0.3275, Acc.column: 0.5711, Acc.signboard: 0.5303, Acc.chest of drawers: 0.5369, Acc.counter: 0.3440, Acc.sand: 0.5499, Acc.sink: 0.7737, Acc.skyscraper: 0.7979, Acc.fireplace: 0.8499, Acc.refrigerator: 0.8549, Acc.grandstand: 0.7010, Acc.path: 0.2863, Acc.stairs: 0.4300, Acc.runway: 0.8849, Acc.case: 0.5476, Acc.pool table: 0.9381, Acc.pillow: 0.7650, Acc.screen door: 0.6991, Acc.stairway: 0.3646, Acc.river: 0.1986, Acc.bridge: 0.4830, Acc.bookcase: 0.6418, Acc.blind: 0.3825, Acc.coffee table: 0.7459, Acc.toilet: 0.8909, Acc.flower: 0.4856, Acc.book: 0.5996, Acc.hill: 0.1655, Acc.bench: 0.5104, Acc.countertop: 0.7194, Acc.stove: 0.8278, Acc.palm: 0.6675, Acc.kitchen island: 0.6104, Acc.computer: 0.6971, Acc.swivel chair: 0.6020, Acc.boat: 0.8493, Acc.bar: 0.3366, Acc.arcade machine: 0.7608, Acc.hovel: 0.2823, Acc.bus: 0.9157, Acc.towel: 0.7095, Acc.light: 0.4700, Acc.truck: 0.1693, Acc.tower: 0.1246, Acc.chandelier: 0.7526, Acc.awning: 0.2787, Acc.streetlight: 0.3393, Acc.booth: 0.4743, Acc.television receiver: 0.7714, Acc.airplane: 0.6352, Acc.dirt track: 0.2516, Acc.apparel: 0.5328, Acc.pole: 0.3064, Acc.land: 0.0454, Acc.bannister: 0.2020, Acc.escalator: 0.2777, Acc.ottoman: 0.5523, Acc.bottle: 0.5545, Acc.buffet: 0.4506, Acc.poster: 0.3292, Acc.stage: 0.1738, Acc.van: 0.5307, Acc.ship: 0.9474, Acc.fountain: 0.2230, Acc.conveyer belt: 0.8998, Acc.canopy: 0.3403, Acc.washer: 0.7907, Acc.plaything: 0.2428, Acc.swimming pool: 0.8099, Acc.stool: 0.4839, Acc.barrel: 0.5469, Acc.basket: 0.3458, Acc.waterfall: 0.6781, Acc.tent: 0.9724, Acc.bag: 0.2421, Acc.minibike: 0.6978, Acc.cradle: 0.9469, Acc.oven: 0.5491, Acc.ball: 0.5699, Acc.food: 0.5003, Acc.step: 0.1030, Acc.tank: 0.5439, Acc.trade name: 0.3433, Acc.microwave: 0.7987, Acc.pot: 0.3193, Acc.animal: 0.5546, Acc.bicycle: 0.6802, Acc.lake: 0.6333, Acc.dishwasher: 0.7616, Acc.screen: 0.8361, Acc.blanket: 0.1833, Acc.sculpture: 0.7846, Acc.hood: 0.5387, Acc.sconce: 0.5029, Acc.vase: 0.4290, Acc.traffic light: 0.4961, Acc.tray: 0.0630, Acc.ashcan: 0.5247, Acc.fan: 0.4954, Acc.pier: 0.6876, Acc.crt screen: 0.1881, Acc.plate: 0.5834, Acc.monitor: 0.2449, Acc.bulletin board: 0.5586, Acc.shower: 0.0438, Acc.radiator: 0.6283, Acc.glass: 0.1057, Acc.clock: 0.3003, Acc.flag: 0.4318 +2023-03-04 22:55:25,685 - mmseg - INFO - Iter [40050/80000] lr: 9.375e-06, eta: 2:14:14, time: 0.506, data_time: 0.335, memory: 52390, decode.loss_ce: 0.2020, decode.acc_seg: 91.6472, loss: 0.2020 +2023-03-04 22:55:34,542 - mmseg - INFO - Iter [40100/80000] lr: 9.375e-06, eta: 2:14:02, time: 0.177, data_time: 0.007, memory: 52390, decode.loss_ce: 0.2103, decode.acc_seg: 91.2846, loss: 0.2103 +2023-03-04 22:55:43,755 - mmseg - INFO - Iter [40150/80000] lr: 9.375e-06, eta: 2:13:51, time: 0.184, data_time: 0.006, memory: 52390, decode.loss_ce: 0.2165, decode.acc_seg: 91.2399, loss: 0.2165 +2023-03-04 22:55:54,923 - mmseg - INFO - Iter [40200/80000] lr: 9.375e-06, eta: 2:13:43, time: 0.223, data_time: 0.055, memory: 52390, decode.loss_ce: 0.2096, decode.acc_seg: 91.4209, loss: 0.2096 +2023-03-04 22:56:03,802 - mmseg - INFO - Iter [40250/80000] lr: 9.375e-06, eta: 2:13:31, time: 0.177, data_time: 0.006, memory: 52390, decode.loss_ce: 0.2158, decode.acc_seg: 91.1862, loss: 0.2158 +2023-03-04 22:56:12,808 - mmseg - INFO - Iter [40300/80000] lr: 9.375e-06, eta: 2:13:20, time: 0.180, data_time: 0.007, memory: 52390, decode.loss_ce: 0.2091, decode.acc_seg: 91.5292, loss: 0.2091 +2023-03-04 22:56:21,940 - mmseg - INFO - Iter [40350/80000] lr: 9.375e-06, eta: 2:13:08, time: 0.183, data_time: 0.006, memory: 52390, decode.loss_ce: 0.2210, decode.acc_seg: 90.8687, loss: 0.2210 +2023-03-04 22:56:30,960 - mmseg - INFO - Iter [40400/80000] lr: 9.375e-06, eta: 2:12:57, time: 0.180, data_time: 0.006, memory: 52390, decode.loss_ce: 0.2139, decode.acc_seg: 91.3378, loss: 0.2139 +2023-03-04 22:56:39,790 - mmseg - INFO - Iter [40450/80000] lr: 9.375e-06, eta: 2:12:45, time: 0.176, data_time: 0.006, memory: 52390, decode.loss_ce: 0.2098, decode.acc_seg: 91.4184, loss: 0.2098 +2023-03-04 22:56:48,561 - mmseg - INFO - Iter [40500/80000] lr: 9.375e-06, eta: 2:12:34, time: 0.176, data_time: 0.007, memory: 52390, decode.loss_ce: 0.2195, decode.acc_seg: 91.0435, loss: 0.2195 +2023-03-04 22:56:57,534 - mmseg - INFO - Iter [40550/80000] lr: 9.375e-06, eta: 2:12:22, time: 0.179, data_time: 0.006, memory: 52390, decode.loss_ce: 0.2260, decode.acc_seg: 90.8824, loss: 0.2260 +2023-03-04 22:57:06,437 - mmseg - INFO - Iter [40600/80000] lr: 9.375e-06, eta: 2:12:11, time: 0.178, data_time: 0.006, memory: 52390, decode.loss_ce: 0.2129, decode.acc_seg: 91.4249, loss: 0.2129 +2023-03-04 22:57:15,107 - mmseg - INFO - Iter [40650/80000] lr: 9.375e-06, eta: 2:11:59, time: 0.173, data_time: 0.006, memory: 52390, decode.loss_ce: 0.2177, decode.acc_seg: 91.1577, loss: 0.2177 +2023-03-04 22:57:23,800 - mmseg - INFO - Iter [40700/80000] lr: 9.375e-06, eta: 2:11:47, time: 0.174, data_time: 0.007, memory: 52390, decode.loss_ce: 0.2128, decode.acc_seg: 91.2828, loss: 0.2128 +2023-03-04 22:57:32,415 - mmseg - INFO - Iter [40750/80000] lr: 9.375e-06, eta: 2:11:36, time: 0.172, data_time: 0.006, memory: 52390, decode.loss_ce: 0.2171, decode.acc_seg: 91.2056, loss: 0.2171 +2023-03-04 22:57:40,908 - mmseg - INFO - Iter [40800/80000] lr: 9.375e-06, eta: 2:11:24, time: 0.170, data_time: 0.006, memory: 52390, decode.loss_ce: 0.2198, decode.acc_seg: 91.0695, loss: 0.2198 +2023-03-04 22:57:52,883 - mmseg - INFO - Iter [40850/80000] lr: 9.375e-06, eta: 2:11:16, time: 0.240, data_time: 0.054, memory: 52390, decode.loss_ce: 0.2184, decode.acc_seg: 91.0507, loss: 0.2184 +2023-03-04 22:58:01,953 - mmseg - INFO - Iter [40900/80000] lr: 9.375e-06, eta: 2:11:05, time: 0.181, data_time: 0.006, memory: 52390, decode.loss_ce: 0.2254, decode.acc_seg: 90.9304, loss: 0.2254 +2023-03-04 22:58:11,117 - mmseg - INFO - Iter [40950/80000] lr: 9.375e-06, eta: 2:10:54, time: 0.183, data_time: 0.007, memory: 52390, decode.loss_ce: 0.2070, decode.acc_seg: 91.5970, loss: 0.2070 +2023-03-04 22:58:19,731 - mmseg - INFO - Exp name: ablation_segformer_mit_b2_segformer_head_unet_fc_single_step_ade_pretrained_freeze_embed_80k_ade20k151_logits.py +2023-03-04 22:58:19,731 - mmseg - INFO - Iter [41000/80000] lr: 9.375e-06, eta: 2:10:42, time: 0.173, data_time: 0.007, memory: 52390, decode.loss_ce: 0.2085, decode.acc_seg: 91.4283, loss: 0.2085 +2023-03-04 22:58:28,936 - mmseg - INFO - Iter [41050/80000] lr: 9.375e-06, eta: 2:10:31, time: 0.184, data_time: 0.006, memory: 52390, decode.loss_ce: 0.2089, decode.acc_seg: 91.3637, loss: 0.2089 +2023-03-04 22:58:37,951 - mmseg - INFO - Iter [41100/80000] lr: 9.375e-06, eta: 2:10:20, time: 0.180, data_time: 0.006, memory: 52390, decode.loss_ce: 0.2129, decode.acc_seg: 91.3761, loss: 0.2129 +2023-03-04 22:58:47,130 - mmseg - INFO - Iter [41150/80000] lr: 9.375e-06, eta: 2:10:08, time: 0.183, data_time: 0.007, memory: 52390, decode.loss_ce: 0.2250, decode.acc_seg: 90.7465, loss: 0.2250 +2023-03-04 22:58:56,006 - mmseg - INFO - Iter [41200/80000] lr: 9.375e-06, eta: 2:09:57, time: 0.178, data_time: 0.006, memory: 52390, decode.loss_ce: 0.2101, decode.acc_seg: 91.3389, loss: 0.2101 +2023-03-04 22:59:05,213 - mmseg - INFO - Iter [41250/80000] lr: 9.375e-06, eta: 2:09:46, time: 0.184, data_time: 0.006, memory: 52390, decode.loss_ce: 0.2125, decode.acc_seg: 91.3383, loss: 0.2125 +2023-03-04 22:59:13,773 - mmseg - INFO - Iter [41300/80000] lr: 9.375e-06, eta: 2:09:34, time: 0.171, data_time: 0.006, memory: 52390, decode.loss_ce: 0.2194, decode.acc_seg: 91.2946, loss: 0.2194 +2023-03-04 22:59:22,411 - mmseg - INFO - Iter [41350/80000] lr: 9.375e-06, eta: 2:09:23, time: 0.173, data_time: 0.006, memory: 52390, decode.loss_ce: 0.2140, decode.acc_seg: 91.4364, loss: 0.2140 +2023-03-04 22:59:31,134 - mmseg - INFO - Iter [41400/80000] lr: 9.375e-06, eta: 2:09:11, time: 0.174, data_time: 0.006, memory: 52390, decode.loss_ce: 0.2122, decode.acc_seg: 91.2976, loss: 0.2122 +2023-03-04 22:59:42,226 - mmseg - INFO - Iter [41450/80000] lr: 9.375e-06, eta: 2:09:02, time: 0.222, data_time: 0.054, memory: 52390, decode.loss_ce: 0.2130, decode.acc_seg: 91.3170, loss: 0.2130 +2023-03-04 22:59:50,906 - mmseg - INFO - Iter [41500/80000] lr: 9.375e-06, eta: 2:08:51, time: 0.173, data_time: 0.006, memory: 52390, decode.loss_ce: 0.2135, decode.acc_seg: 91.3117, loss: 0.2135 +2023-03-04 23:00:00,220 - mmseg - INFO - Iter [41550/80000] lr: 9.375e-06, eta: 2:08:40, time: 0.186, data_time: 0.007, memory: 52390, decode.loss_ce: 0.2086, decode.acc_seg: 91.6022, loss: 0.2086 +2023-03-04 23:00:09,490 - mmseg - INFO - Iter [41600/80000] lr: 9.375e-06, eta: 2:08:29, time: 0.185, data_time: 0.007, memory: 52390, decode.loss_ce: 0.2048, decode.acc_seg: 91.6387, loss: 0.2048 +2023-03-04 23:00:18,274 - mmseg - INFO - Iter [41650/80000] lr: 9.375e-06, eta: 2:08:17, time: 0.176, data_time: 0.007, memory: 52390, decode.loss_ce: 0.2210, decode.acc_seg: 90.9073, loss: 0.2210 +2023-03-04 23:00:27,333 - mmseg - INFO - Iter [41700/80000] lr: 9.375e-06, eta: 2:08:06, time: 0.181, data_time: 0.007, memory: 52390, decode.loss_ce: 0.2241, decode.acc_seg: 90.8343, loss: 0.2241 +2023-03-04 23:00:35,996 - mmseg - INFO - Iter [41750/80000] lr: 9.375e-06, eta: 2:07:55, time: 0.173, data_time: 0.006, memory: 52390, decode.loss_ce: 0.2174, decode.acc_seg: 91.1698, loss: 0.2174 +2023-03-04 23:00:45,108 - mmseg - INFO - Iter [41800/80000] lr: 9.375e-06, eta: 2:07:43, time: 0.182, data_time: 0.006, memory: 52390, decode.loss_ce: 0.2225, decode.acc_seg: 90.9759, loss: 0.2225 +2023-03-04 23:00:53,808 - mmseg - INFO - Iter [41850/80000] lr: 9.375e-06, eta: 2:07:32, time: 0.174, data_time: 0.007, memory: 52390, decode.loss_ce: 0.2220, decode.acc_seg: 90.9865, loss: 0.2220 +2023-03-04 23:01:02,313 - mmseg - INFO - Iter [41900/80000] lr: 9.375e-06, eta: 2:07:20, time: 0.170, data_time: 0.007, memory: 52390, decode.loss_ce: 0.2201, decode.acc_seg: 91.0366, loss: 0.2201 +2023-03-04 23:01:11,135 - mmseg - INFO - Iter [41950/80000] lr: 9.375e-06, eta: 2:07:09, time: 0.176, data_time: 0.006, memory: 52390, decode.loss_ce: 0.2116, decode.acc_seg: 91.3449, loss: 0.2116 +2023-03-04 23:01:19,858 - mmseg - INFO - Exp name: ablation_segformer_mit_b2_segformer_head_unet_fc_single_step_ade_pretrained_freeze_embed_80k_ade20k151_logits.py +2023-03-04 23:01:19,858 - mmseg - INFO - Iter [42000/80000] lr: 9.375e-06, eta: 2:06:57, time: 0.174, data_time: 0.006, memory: 52390, decode.loss_ce: 0.2142, decode.acc_seg: 91.3029, loss: 0.2142 +2023-03-04 23:01:29,105 - mmseg - INFO - Iter [42050/80000] lr: 9.375e-06, eta: 2:06:46, time: 0.185, data_time: 0.006, memory: 52390, decode.loss_ce: 0.2237, decode.acc_seg: 90.9890, loss: 0.2237 +2023-03-04 23:01:40,549 - mmseg - INFO - Iter [42100/80000] lr: 9.375e-06, eta: 2:06:38, time: 0.229, data_time: 0.055, memory: 52390, decode.loss_ce: 0.2109, decode.acc_seg: 91.4708, loss: 0.2109 +2023-03-04 23:01:49,706 - mmseg - INFO - Iter [42150/80000] lr: 9.375e-06, eta: 2:06:27, time: 0.183, data_time: 0.006, memory: 52390, decode.loss_ce: 0.2189, decode.acc_seg: 91.1181, loss: 0.2189 +2023-03-04 23:01:59,023 - mmseg - INFO - Iter [42200/80000] lr: 9.375e-06, eta: 2:06:16, time: 0.187, data_time: 0.007, memory: 52390, decode.loss_ce: 0.2189, decode.acc_seg: 91.0025, loss: 0.2189 +2023-03-04 23:02:08,043 - mmseg - INFO - Iter [42250/80000] lr: 9.375e-06, eta: 2:06:05, time: 0.180, data_time: 0.006, memory: 52390, decode.loss_ce: 0.2136, decode.acc_seg: 91.2802, loss: 0.2136 +2023-03-04 23:02:17,067 - mmseg - INFO - Iter [42300/80000] lr: 9.375e-06, eta: 2:05:54, time: 0.180, data_time: 0.006, memory: 52390, decode.loss_ce: 0.2168, decode.acc_seg: 91.2023, loss: 0.2168 +2023-03-04 23:02:25,678 - mmseg - INFO - Iter [42350/80000] lr: 9.375e-06, eta: 2:05:42, time: 0.172, data_time: 0.007, memory: 52390, decode.loss_ce: 0.2171, decode.acc_seg: 91.3929, loss: 0.2171 +2023-03-04 23:02:34,672 - mmseg - INFO - Iter [42400/80000] lr: 9.375e-06, eta: 2:05:31, time: 0.180, data_time: 0.006, memory: 52390, decode.loss_ce: 0.2139, decode.acc_seg: 91.3363, loss: 0.2139 +2023-03-04 23:02:43,820 - mmseg - INFO - Iter [42450/80000] lr: 9.375e-06, eta: 2:05:20, time: 0.183, data_time: 0.007, memory: 52390, decode.loss_ce: 0.2016, decode.acc_seg: 91.5365, loss: 0.2016 +2023-03-04 23:02:52,474 - mmseg - INFO - Iter [42500/80000] lr: 9.375e-06, eta: 2:05:09, time: 0.173, data_time: 0.007, memory: 52390, decode.loss_ce: 0.2199, decode.acc_seg: 91.0835, loss: 0.2199 +2023-03-04 23:03:01,112 - mmseg - INFO - Iter [42550/80000] lr: 9.375e-06, eta: 2:04:57, time: 0.173, data_time: 0.006, memory: 52390, decode.loss_ce: 0.2217, decode.acc_seg: 91.0222, loss: 0.2217 +2023-03-04 23:03:09,671 - mmseg - INFO - Iter [42600/80000] lr: 9.375e-06, eta: 2:04:46, time: 0.171, data_time: 0.006, memory: 52390, decode.loss_ce: 0.2121, decode.acc_seg: 91.4112, loss: 0.2121 +2023-03-04 23:03:18,655 - mmseg - INFO - Iter [42650/80000] lr: 9.375e-06, eta: 2:04:35, time: 0.179, data_time: 0.006, memory: 52390, decode.loss_ce: 0.2163, decode.acc_seg: 91.2088, loss: 0.2163 +2023-03-04 23:03:27,211 - mmseg - INFO - Iter [42700/80000] lr: 9.375e-06, eta: 2:04:23, time: 0.171, data_time: 0.007, memory: 52390, decode.loss_ce: 0.2103, decode.acc_seg: 91.3213, loss: 0.2103 +2023-03-04 23:03:38,499 - mmseg - INFO - Iter [42750/80000] lr: 9.375e-06, eta: 2:04:14, time: 0.226, data_time: 0.054, memory: 52390, decode.loss_ce: 0.2204, decode.acc_seg: 91.0450, loss: 0.2204 +2023-03-04 23:03:47,504 - mmseg - INFO - Iter [42800/80000] lr: 9.375e-06, eta: 2:04:03, time: 0.180, data_time: 0.007, memory: 52390, decode.loss_ce: 0.2171, decode.acc_seg: 91.0920, loss: 0.2171 +2023-03-04 23:03:56,153 - mmseg - INFO - Iter [42850/80000] lr: 9.375e-06, eta: 2:03:52, time: 0.173, data_time: 0.006, memory: 52390, decode.loss_ce: 0.2069, decode.acc_seg: 91.5068, loss: 0.2069 +2023-03-04 23:04:05,609 - mmseg - INFO - Iter [42900/80000] lr: 9.375e-06, eta: 2:03:41, time: 0.189, data_time: 0.006, memory: 52390, decode.loss_ce: 0.2114, decode.acc_seg: 91.4034, loss: 0.2114 +2023-03-04 23:04:14,524 - mmseg - INFO - Iter [42950/80000] lr: 9.375e-06, eta: 2:03:30, time: 0.178, data_time: 0.006, memory: 52390, decode.loss_ce: 0.2145, decode.acc_seg: 91.2322, loss: 0.2145 +2023-03-04 23:04:23,270 - mmseg - INFO - Exp name: ablation_segformer_mit_b2_segformer_head_unet_fc_single_step_ade_pretrained_freeze_embed_80k_ade20k151_logits.py +2023-03-04 23:04:23,270 - mmseg - INFO - Iter [43000/80000] lr: 9.375e-06, eta: 2:03:19, time: 0.175, data_time: 0.006, memory: 52390, decode.loss_ce: 0.2110, decode.acc_seg: 91.3531, loss: 0.2110 +2023-03-04 23:04:32,085 - mmseg - INFO - Iter [43050/80000] lr: 9.375e-06, eta: 2:03:08, time: 0.176, data_time: 0.007, memory: 52390, decode.loss_ce: 0.2193, decode.acc_seg: 91.0155, loss: 0.2193 +2023-03-04 23:04:40,983 - mmseg - INFO - Iter [43100/80000] lr: 9.375e-06, eta: 2:02:56, time: 0.178, data_time: 0.006, memory: 52390, decode.loss_ce: 0.2221, decode.acc_seg: 91.1640, loss: 0.2221 +2023-03-04 23:04:50,337 - mmseg - INFO - Iter [43150/80000] lr: 9.375e-06, eta: 2:02:46, time: 0.187, data_time: 0.006, memory: 52390, decode.loss_ce: 0.2107, decode.acc_seg: 91.1484, loss: 0.2107 +2023-03-04 23:05:00,013 - mmseg - INFO - Iter [43200/80000] lr: 9.375e-06, eta: 2:02:35, time: 0.194, data_time: 0.008, memory: 52390, decode.loss_ce: 0.2225, decode.acc_seg: 90.9786, loss: 0.2225 +2023-03-04 23:05:09,017 - mmseg - INFO - Iter [43250/80000] lr: 9.375e-06, eta: 2:02:24, time: 0.180, data_time: 0.007, memory: 52390, decode.loss_ce: 0.2061, decode.acc_seg: 91.4315, loss: 0.2061 +2023-03-04 23:05:17,632 - mmseg - INFO - Iter [43300/80000] lr: 9.375e-06, eta: 2:02:13, time: 0.172, data_time: 0.006, memory: 52390, decode.loss_ce: 0.2020, decode.acc_seg: 91.7450, loss: 0.2020 +2023-03-04 23:05:29,208 - mmseg - INFO - Iter [43350/80000] lr: 9.375e-06, eta: 2:02:05, time: 0.232, data_time: 0.053, memory: 52390, decode.loss_ce: 0.2149, decode.acc_seg: 91.2231, loss: 0.2149 +2023-03-04 23:05:38,109 - mmseg - INFO - Iter [43400/80000] lr: 9.375e-06, eta: 2:01:54, time: 0.178, data_time: 0.006, memory: 52390, decode.loss_ce: 0.2227, decode.acc_seg: 91.0537, loss: 0.2227 +2023-03-04 23:05:47,289 - mmseg - INFO - Iter [43450/80000] lr: 9.375e-06, eta: 2:01:43, time: 0.184, data_time: 0.006, memory: 52390, decode.loss_ce: 0.2057, decode.acc_seg: 91.5595, loss: 0.2057 +2023-03-04 23:05:56,099 - mmseg - INFO - Iter [43500/80000] lr: 9.375e-06, eta: 2:01:31, time: 0.176, data_time: 0.006, memory: 52390, decode.loss_ce: 0.2161, decode.acc_seg: 91.1212, loss: 0.2161 +2023-03-04 23:06:05,392 - mmseg - INFO - Iter [43550/80000] lr: 9.375e-06, eta: 2:01:21, time: 0.186, data_time: 0.007, memory: 52390, decode.loss_ce: 0.2076, decode.acc_seg: 91.5143, loss: 0.2076 +2023-03-04 23:06:14,679 - mmseg - INFO - Iter [43600/80000] lr: 9.375e-06, eta: 2:01:10, time: 0.186, data_time: 0.006, memory: 52390, decode.loss_ce: 0.2176, decode.acc_seg: 91.2150, loss: 0.2176 +2023-03-04 23:06:23,214 - mmseg - INFO - Iter [43650/80000] lr: 9.375e-06, eta: 2:00:59, time: 0.171, data_time: 0.006, memory: 52390, decode.loss_ce: 0.2178, decode.acc_seg: 91.1913, loss: 0.2178 +2023-03-04 23:06:31,798 - mmseg - INFO - Iter [43700/80000] lr: 9.375e-06, eta: 2:00:47, time: 0.171, data_time: 0.006, memory: 52390, decode.loss_ce: 0.2107, decode.acc_seg: 91.3958, loss: 0.2107 +2023-03-04 23:06:40,699 - mmseg - INFO - Iter [43750/80000] lr: 9.375e-06, eta: 2:00:36, time: 0.178, data_time: 0.007, memory: 52390, decode.loss_ce: 0.2144, decode.acc_seg: 91.3353, loss: 0.2144 +2023-03-04 23:06:49,940 - mmseg - INFO - Iter [43800/80000] lr: 9.375e-06, eta: 2:00:25, time: 0.185, data_time: 0.006, memory: 52390, decode.loss_ce: 0.2085, decode.acc_seg: 91.3011, loss: 0.2085 +2023-03-04 23:06:59,136 - mmseg - INFO - Iter [43850/80000] lr: 9.375e-06, eta: 2:00:15, time: 0.184, data_time: 0.006, memory: 52390, decode.loss_ce: 0.2172, decode.acc_seg: 91.1012, loss: 0.2172 +2023-03-04 23:07:08,113 - mmseg - INFO - Iter [43900/80000] lr: 9.375e-06, eta: 2:00:04, time: 0.179, data_time: 0.006, memory: 52390, decode.loss_ce: 0.2174, decode.acc_seg: 91.0901, loss: 0.2174 +2023-03-04 23:07:17,178 - mmseg - INFO - Iter [43950/80000] lr: 9.375e-06, eta: 1:59:53, time: 0.182, data_time: 0.006, memory: 52390, decode.loss_ce: 0.2063, decode.acc_seg: 91.4514, loss: 0.2063 +2023-03-04 23:07:28,829 - mmseg - INFO - Exp name: ablation_segformer_mit_b2_segformer_head_unet_fc_single_step_ade_pretrained_freeze_embed_80k_ade20k151_logits.py +2023-03-04 23:07:28,830 - mmseg - INFO - Iter [44000/80000] lr: 9.375e-06, eta: 1:59:44, time: 0.233, data_time: 0.051, memory: 52390, decode.loss_ce: 0.2178, decode.acc_seg: 91.1073, loss: 0.2178 +2023-03-04 23:07:37,565 - mmseg - INFO - Iter [44050/80000] lr: 9.375e-06, eta: 1:59:33, time: 0.175, data_time: 0.006, memory: 52390, decode.loss_ce: 0.2077, decode.acc_seg: 91.4396, loss: 0.2077 +2023-03-04 23:07:47,111 - mmseg - INFO - Iter [44100/80000] lr: 9.375e-06, eta: 1:59:23, time: 0.191, data_time: 0.006, memory: 52390, decode.loss_ce: 0.2079, decode.acc_seg: 91.4162, loss: 0.2079 +2023-03-04 23:07:56,095 - mmseg - INFO - Iter [44150/80000] lr: 9.375e-06, eta: 1:59:12, time: 0.180, data_time: 0.007, memory: 52390, decode.loss_ce: 0.2171, decode.acc_seg: 91.0846, loss: 0.2171 +2023-03-04 23:08:04,936 - mmseg - INFO - Iter [44200/80000] lr: 9.375e-06, eta: 1:59:01, time: 0.177, data_time: 0.007, memory: 52390, decode.loss_ce: 0.2105, decode.acc_seg: 91.2987, loss: 0.2105 +2023-03-04 23:08:14,372 - mmseg - INFO - Iter [44250/80000] lr: 9.375e-06, eta: 1:58:50, time: 0.188, data_time: 0.007, memory: 52390, decode.loss_ce: 0.2184, decode.acc_seg: 91.1020, loss: 0.2184 +2023-03-04 23:08:23,060 - mmseg - INFO - Iter [44300/80000] lr: 9.375e-06, eta: 1:58:39, time: 0.174, data_time: 0.007, memory: 52390, decode.loss_ce: 0.2110, decode.acc_seg: 91.3431, loss: 0.2110 +2023-03-04 23:08:31,872 - mmseg - INFO - Iter [44350/80000] lr: 9.375e-06, eta: 1:58:28, time: 0.176, data_time: 0.007, memory: 52390, decode.loss_ce: 0.2009, decode.acc_seg: 91.6994, loss: 0.2009 +2023-03-04 23:08:40,750 - mmseg - INFO - Iter [44400/80000] lr: 9.375e-06, eta: 1:58:17, time: 0.178, data_time: 0.007, memory: 52390, decode.loss_ce: 0.2189, decode.acc_seg: 91.0983, loss: 0.2189 +2023-03-04 23:08:49,485 - mmseg - INFO - Iter [44450/80000] lr: 9.375e-06, eta: 1:58:06, time: 0.175, data_time: 0.007, memory: 52390, decode.loss_ce: 0.2145, decode.acc_seg: 91.2275, loss: 0.2145 +2023-03-04 23:08:58,188 - mmseg - INFO - Iter [44500/80000] lr: 9.375e-06, eta: 1:57:54, time: 0.174, data_time: 0.007, memory: 52390, decode.loss_ce: 0.2206, decode.acc_seg: 90.9644, loss: 0.2206 +2023-03-04 23:09:07,019 - mmseg - INFO - Iter [44550/80000] lr: 9.375e-06, eta: 1:57:43, time: 0.177, data_time: 0.007, memory: 52390, decode.loss_ce: 0.2149, decode.acc_seg: 91.2301, loss: 0.2149 +2023-03-04 23:09:18,249 - mmseg - INFO - Iter [44600/80000] lr: 9.375e-06, eta: 1:57:35, time: 0.225, data_time: 0.053, memory: 52390, decode.loss_ce: 0.2069, decode.acc_seg: 91.4067, loss: 0.2069 +2023-03-04 23:09:27,374 - mmseg - INFO - Iter [44650/80000] lr: 9.375e-06, eta: 1:57:24, time: 0.182, data_time: 0.006, memory: 52390, decode.loss_ce: 0.2135, decode.acc_seg: 91.3157, loss: 0.2135 +2023-03-04 23:09:36,426 - mmseg - INFO - Iter [44700/80000] lr: 9.375e-06, eta: 1:57:13, time: 0.181, data_time: 0.006, memory: 52390, decode.loss_ce: 0.2132, decode.acc_seg: 91.3667, loss: 0.2132 +2023-03-04 23:09:45,274 - mmseg - INFO - Iter [44750/80000] lr: 9.375e-06, eta: 1:57:02, time: 0.177, data_time: 0.007, memory: 52390, decode.loss_ce: 0.2217, decode.acc_seg: 91.1447, loss: 0.2217 +2023-03-04 23:09:54,113 - mmseg - INFO - Iter [44800/80000] lr: 9.375e-06, eta: 1:56:51, time: 0.177, data_time: 0.006, memory: 52390, decode.loss_ce: 0.2199, decode.acc_seg: 91.0624, loss: 0.2199 +2023-03-04 23:10:03,198 - mmseg - INFO - Iter [44850/80000] lr: 9.375e-06, eta: 1:56:40, time: 0.182, data_time: 0.007, memory: 52390, decode.loss_ce: 0.2146, decode.acc_seg: 91.2402, loss: 0.2146 +2023-03-04 23:10:11,997 - mmseg - INFO - Iter [44900/80000] lr: 9.375e-06, eta: 1:56:29, time: 0.176, data_time: 0.007, memory: 52390, decode.loss_ce: 0.2175, decode.acc_seg: 91.2804, loss: 0.2175 +2023-03-04 23:10:20,784 - mmseg - INFO - Iter [44950/80000] lr: 9.375e-06, eta: 1:56:18, time: 0.176, data_time: 0.006, memory: 52390, decode.loss_ce: 0.2076, decode.acc_seg: 91.4342, loss: 0.2076 +2023-03-04 23:10:29,421 - mmseg - INFO - Exp name: ablation_segformer_mit_b2_segformer_head_unet_fc_single_step_ade_pretrained_freeze_embed_80k_ade20k151_logits.py +2023-03-04 23:10:29,421 - mmseg - INFO - Iter [45000/80000] lr: 9.375e-06, eta: 1:56:07, time: 0.173, data_time: 0.006, memory: 52390, decode.loss_ce: 0.2187, decode.acc_seg: 91.0742, loss: 0.2187 +2023-03-04 23:10:38,474 - mmseg - INFO - Iter [45050/80000] lr: 9.375e-06, eta: 1:55:56, time: 0.181, data_time: 0.007, memory: 52390, decode.loss_ce: 0.2084, decode.acc_seg: 91.4204, loss: 0.2084 +2023-03-04 23:10:47,283 - mmseg - INFO - Iter [45100/80000] lr: 9.375e-06, eta: 1:55:45, time: 0.176, data_time: 0.006, memory: 52390, decode.loss_ce: 0.2180, decode.acc_seg: 91.0390, loss: 0.2180 +2023-03-04 23:10:55,980 - mmseg - INFO - Iter [45150/80000] lr: 9.375e-06, eta: 1:55:34, time: 0.174, data_time: 0.006, memory: 52390, decode.loss_ce: 0.2158, decode.acc_seg: 91.1239, loss: 0.2158 +2023-03-04 23:11:04,737 - mmseg - INFO - Iter [45200/80000] lr: 9.375e-06, eta: 1:55:23, time: 0.175, data_time: 0.006, memory: 52390, decode.loss_ce: 0.2071, decode.acc_seg: 91.3599, loss: 0.2071 +2023-03-04 23:11:15,882 - mmseg - INFO - Iter [45250/80000] lr: 9.375e-06, eta: 1:55:14, time: 0.223, data_time: 0.054, memory: 52390, decode.loss_ce: 0.2185, decode.acc_seg: 91.1787, loss: 0.2185 +2023-03-04 23:11:24,582 - mmseg - INFO - Iter [45300/80000] lr: 9.375e-06, eta: 1:55:03, time: 0.174, data_time: 0.007, memory: 52390, decode.loss_ce: 0.2160, decode.acc_seg: 91.1664, loss: 0.2160 +2023-03-04 23:11:33,159 - mmseg - INFO - Iter [45350/80000] lr: 9.375e-06, eta: 1:54:52, time: 0.172, data_time: 0.007, memory: 52390, decode.loss_ce: 0.2127, decode.acc_seg: 91.1324, loss: 0.2127 +2023-03-04 23:11:42,401 - mmseg - INFO - Iter [45400/80000] lr: 9.375e-06, eta: 1:54:41, time: 0.185, data_time: 0.006, memory: 52390, decode.loss_ce: 0.2106, decode.acc_seg: 91.4200, loss: 0.2106 +2023-03-04 23:11:51,338 - mmseg - INFO - Iter [45450/80000] lr: 9.375e-06, eta: 1:54:30, time: 0.178, data_time: 0.007, memory: 52390, decode.loss_ce: 0.2074, decode.acc_seg: 91.5120, loss: 0.2074 +2023-03-04 23:12:00,530 - mmseg - INFO - Iter [45500/80000] lr: 9.375e-06, eta: 1:54:20, time: 0.184, data_time: 0.007, memory: 52390, decode.loss_ce: 0.2126, decode.acc_seg: 91.2792, loss: 0.2126 +2023-03-04 23:12:09,197 - mmseg - INFO - Iter [45550/80000] lr: 9.375e-06, eta: 1:54:08, time: 0.173, data_time: 0.006, memory: 52390, decode.loss_ce: 0.2116, decode.acc_seg: 91.3416, loss: 0.2116 +2023-03-04 23:12:17,957 - mmseg - INFO - Iter [45600/80000] lr: 9.375e-06, eta: 1:53:57, time: 0.175, data_time: 0.006, memory: 52390, decode.loss_ce: 0.2166, decode.acc_seg: 91.2205, loss: 0.2166 +2023-03-04 23:12:27,219 - mmseg - INFO - Iter [45650/80000] lr: 9.375e-06, eta: 1:53:47, time: 0.185, data_time: 0.006, memory: 52390, decode.loss_ce: 0.2161, decode.acc_seg: 91.0295, loss: 0.2161 +2023-03-04 23:12:36,422 - mmseg - INFO - Iter [45700/80000] lr: 9.375e-06, eta: 1:53:36, time: 0.184, data_time: 0.006, memory: 52390, decode.loss_ce: 0.2116, decode.acc_seg: 91.2047, loss: 0.2116 +2023-03-04 23:12:45,326 - mmseg - INFO - Iter [45750/80000] lr: 9.375e-06, eta: 1:53:25, time: 0.178, data_time: 0.006, memory: 52390, decode.loss_ce: 0.2143, decode.acc_seg: 91.0791, loss: 0.2143 +2023-03-04 23:12:54,056 - mmseg - INFO - Iter [45800/80000] lr: 9.375e-06, eta: 1:53:14, time: 0.175, data_time: 0.006, memory: 52390, decode.loss_ce: 0.2173, decode.acc_seg: 90.9864, loss: 0.2173 +2023-03-04 23:13:02,609 - mmseg - INFO - Iter [45850/80000] lr: 9.375e-06, eta: 1:53:03, time: 0.171, data_time: 0.006, memory: 52390, decode.loss_ce: 0.2098, decode.acc_seg: 91.3948, loss: 0.2098 +2023-03-04 23:13:14,279 - mmseg - INFO - Iter [45900/80000] lr: 9.375e-06, eta: 1:52:55, time: 0.233, data_time: 0.053, memory: 52390, decode.loss_ce: 0.2280, decode.acc_seg: 90.7707, loss: 0.2280 +2023-03-04 23:13:23,410 - mmseg - INFO - Iter [45950/80000] lr: 9.375e-06, eta: 1:52:44, time: 0.182, data_time: 0.006, memory: 52390, decode.loss_ce: 0.2161, decode.acc_seg: 91.1087, loss: 0.2161 +2023-03-04 23:13:32,301 - mmseg - INFO - Exp name: ablation_segformer_mit_b2_segformer_head_unet_fc_single_step_ade_pretrained_freeze_embed_80k_ade20k151_logits.py +2023-03-04 23:13:32,301 - mmseg - INFO - Iter [46000/80000] lr: 9.375e-06, eta: 1:52:33, time: 0.178, data_time: 0.007, memory: 52390, decode.loss_ce: 0.2070, decode.acc_seg: 91.5460, loss: 0.2070 +2023-03-04 23:13:41,271 - mmseg - INFO - Iter [46050/80000] lr: 9.375e-06, eta: 1:52:23, time: 0.180, data_time: 0.007, memory: 52390, decode.loss_ce: 0.2189, decode.acc_seg: 91.0440, loss: 0.2189 +2023-03-04 23:13:50,692 - mmseg - INFO - Iter [46100/80000] lr: 9.375e-06, eta: 1:52:12, time: 0.188, data_time: 0.007, memory: 52390, decode.loss_ce: 0.2148, decode.acc_seg: 91.2120, loss: 0.2148 +2023-03-04 23:13:59,427 - mmseg - INFO - Iter [46150/80000] lr: 9.375e-06, eta: 1:52:01, time: 0.175, data_time: 0.006, memory: 52390, decode.loss_ce: 0.2131, decode.acc_seg: 91.1495, loss: 0.2131 +2023-03-04 23:14:08,235 - mmseg - INFO - Iter [46200/80000] lr: 9.375e-06, eta: 1:51:50, time: 0.176, data_time: 0.006, memory: 52390, decode.loss_ce: 0.2127, decode.acc_seg: 91.3373, loss: 0.2127 +2023-03-04 23:14:16,966 - mmseg - INFO - Iter [46250/80000] lr: 9.375e-06, eta: 1:51:39, time: 0.175, data_time: 0.006, memory: 52390, decode.loss_ce: 0.2125, decode.acc_seg: 91.2649, loss: 0.2125 +2023-03-04 23:14:25,731 - mmseg - INFO - Iter [46300/80000] lr: 9.375e-06, eta: 1:51:28, time: 0.175, data_time: 0.006, memory: 52390, decode.loss_ce: 0.2138, decode.acc_seg: 91.1221, loss: 0.2138 +2023-03-04 23:14:34,489 - mmseg - INFO - Iter [46350/80000] lr: 9.375e-06, eta: 1:51:17, time: 0.175, data_time: 0.007, memory: 52390, decode.loss_ce: 0.2165, decode.acc_seg: 91.2246, loss: 0.2165 +2023-03-04 23:14:43,086 - mmseg - INFO - Iter [46400/80000] lr: 9.375e-06, eta: 1:51:06, time: 0.172, data_time: 0.006, memory: 52390, decode.loss_ce: 0.2104, decode.acc_seg: 91.2238, loss: 0.2104 +2023-03-04 23:14:51,726 - mmseg - INFO - Iter [46450/80000] lr: 9.375e-06, eta: 1:50:55, time: 0.173, data_time: 0.007, memory: 52390, decode.loss_ce: 0.2200, decode.acc_seg: 91.0627, loss: 0.2200 +2023-03-04 23:15:03,257 - mmseg - INFO - Iter [46500/80000] lr: 9.375e-06, eta: 1:50:47, time: 0.230, data_time: 0.052, memory: 52390, decode.loss_ce: 0.2158, decode.acc_seg: 91.0867, loss: 0.2158 +2023-03-04 23:15:12,060 - mmseg - INFO - Iter [46550/80000] lr: 9.375e-06, eta: 1:50:36, time: 0.176, data_time: 0.007, memory: 52390, decode.loss_ce: 0.2171, decode.acc_seg: 91.1761, loss: 0.2171 +2023-03-04 23:15:20,912 - mmseg - INFO - Iter [46600/80000] lr: 9.375e-06, eta: 1:50:25, time: 0.177, data_time: 0.007, memory: 52390, decode.loss_ce: 0.2153, decode.acc_seg: 91.1705, loss: 0.2153 +2023-03-04 23:15:29,929 - mmseg - INFO - Iter [46650/80000] lr: 9.375e-06, eta: 1:50:14, time: 0.180, data_time: 0.006, memory: 52390, decode.loss_ce: 0.2179, decode.acc_seg: 90.9337, loss: 0.2179 +2023-03-04 23:15:39,065 - mmseg - INFO - Iter [46700/80000] lr: 9.375e-06, eta: 1:50:04, time: 0.183, data_time: 0.007, memory: 52390, decode.loss_ce: 0.2233, decode.acc_seg: 90.9734, loss: 0.2233 +2023-03-04 23:15:47,628 - mmseg - INFO - Iter [46750/80000] lr: 9.375e-06, eta: 1:49:53, time: 0.171, data_time: 0.006, memory: 52390, decode.loss_ce: 0.2058, decode.acc_seg: 91.5668, loss: 0.2058 +2023-03-04 23:15:56,373 - mmseg - INFO - Iter [46800/80000] lr: 9.375e-06, eta: 1:49:42, time: 0.175, data_time: 0.007, memory: 52390, decode.loss_ce: 0.2152, decode.acc_seg: 91.2063, loss: 0.2152 +2023-03-04 23:16:04,891 - mmseg - INFO - Iter [46850/80000] lr: 9.375e-06, eta: 1:49:31, time: 0.170, data_time: 0.006, memory: 52390, decode.loss_ce: 0.2127, decode.acc_seg: 91.2460, loss: 0.2127 +2023-03-04 23:16:13,608 - mmseg - INFO - Iter [46900/80000] lr: 9.375e-06, eta: 1:49:20, time: 0.174, data_time: 0.007, memory: 52390, decode.loss_ce: 0.2107, decode.acc_seg: 91.3399, loss: 0.2107 +2023-03-04 23:16:22,281 - mmseg - INFO - Iter [46950/80000] lr: 9.375e-06, eta: 1:49:09, time: 0.173, data_time: 0.007, memory: 52390, decode.loss_ce: 0.2143, decode.acc_seg: 91.2350, loss: 0.2143 +2023-03-04 23:16:30,767 - mmseg - INFO - Exp name: ablation_segformer_mit_b2_segformer_head_unet_fc_single_step_ade_pretrained_freeze_embed_80k_ade20k151_logits.py +2023-03-04 23:16:30,767 - mmseg - INFO - Iter [47000/80000] lr: 9.375e-06, eta: 1:48:58, time: 0.170, data_time: 0.006, memory: 52390, decode.loss_ce: 0.2076, decode.acc_seg: 91.5104, loss: 0.2076 +2023-03-04 23:16:39,931 - mmseg - INFO - Iter [47050/80000] lr: 9.375e-06, eta: 1:48:47, time: 0.183, data_time: 0.006, memory: 52390, decode.loss_ce: 0.2103, decode.acc_seg: 91.3466, loss: 0.2103 +2023-03-04 23:16:48,789 - mmseg - INFO - Iter [47100/80000] lr: 9.375e-06, eta: 1:48:36, time: 0.177, data_time: 0.006, memory: 52390, decode.loss_ce: 0.2157, decode.acc_seg: 91.2077, loss: 0.2157 +2023-03-04 23:17:00,104 - mmseg - INFO - Iter [47150/80000] lr: 9.375e-06, eta: 1:48:28, time: 0.226, data_time: 0.055, memory: 52390, decode.loss_ce: 0.2118, decode.acc_seg: 91.3227, loss: 0.2118 +2023-03-04 23:17:08,778 - mmseg - INFO - Iter [47200/80000] lr: 9.375e-06, eta: 1:48:17, time: 0.173, data_time: 0.006, memory: 52390, decode.loss_ce: 0.2050, decode.acc_seg: 91.5840, loss: 0.2050 +2023-03-04 23:17:17,608 - mmseg - INFO - Iter [47250/80000] lr: 9.375e-06, eta: 1:48:06, time: 0.176, data_time: 0.006, memory: 52390, decode.loss_ce: 0.2086, decode.acc_seg: 91.5494, loss: 0.2086 +2023-03-04 23:17:26,445 - mmseg - INFO - Iter [47300/80000] lr: 9.375e-06, eta: 1:47:55, time: 0.177, data_time: 0.007, memory: 52390, decode.loss_ce: 0.2022, decode.acc_seg: 91.7508, loss: 0.2022 +2023-03-04 23:17:35,211 - mmseg - INFO - Iter [47350/80000] lr: 9.375e-06, eta: 1:47:44, time: 0.175, data_time: 0.007, memory: 52390, decode.loss_ce: 0.2109, decode.acc_seg: 91.3905, loss: 0.2109 +2023-03-04 23:17:43,927 - mmseg - INFO - Iter [47400/80000] lr: 9.375e-06, eta: 1:47:33, time: 0.174, data_time: 0.006, memory: 52390, decode.loss_ce: 0.2128, decode.acc_seg: 91.4876, loss: 0.2128 +2023-03-04 23:17:53,377 - mmseg - INFO - Iter [47450/80000] lr: 9.375e-06, eta: 1:47:23, time: 0.189, data_time: 0.006, memory: 52390, decode.loss_ce: 0.2116, decode.acc_seg: 91.4655, loss: 0.2116 +2023-03-04 23:18:02,628 - mmseg - INFO - Iter [47500/80000] lr: 9.375e-06, eta: 1:47:13, time: 0.185, data_time: 0.006, memory: 52390, decode.loss_ce: 0.2129, decode.acc_seg: 91.2132, loss: 0.2129 +2023-03-04 23:18:11,511 - mmseg - INFO - Iter [47550/80000] lr: 9.375e-06, eta: 1:47:02, time: 0.178, data_time: 0.006, memory: 52390, decode.loss_ce: 0.2218, decode.acc_seg: 91.0995, loss: 0.2218 +2023-03-04 23:18:20,186 - mmseg - INFO - Iter [47600/80000] lr: 9.375e-06, eta: 1:46:51, time: 0.174, data_time: 0.006, memory: 52390, decode.loss_ce: 0.2125, decode.acc_seg: 91.3154, loss: 0.2125 +2023-03-04 23:18:29,162 - mmseg - INFO - Iter [47650/80000] lr: 9.375e-06, eta: 1:46:40, time: 0.180, data_time: 0.007, memory: 52390, decode.loss_ce: 0.2141, decode.acc_seg: 91.2911, loss: 0.2141 +2023-03-04 23:18:38,305 - mmseg - INFO - Iter [47700/80000] lr: 9.375e-06, eta: 1:46:30, time: 0.183, data_time: 0.006, memory: 52390, decode.loss_ce: 0.2120, decode.acc_seg: 91.3524, loss: 0.2120 +2023-03-04 23:18:47,603 - mmseg - INFO - Iter [47750/80000] lr: 9.375e-06, eta: 1:46:19, time: 0.186, data_time: 0.007, memory: 52390, decode.loss_ce: 0.2124, decode.acc_seg: 91.2169, loss: 0.2124 +2023-03-04 23:18:58,769 - mmseg - INFO - Iter [47800/80000] lr: 9.375e-06, eta: 1:46:11, time: 0.223, data_time: 0.053, memory: 52390, decode.loss_ce: 0.2151, decode.acc_seg: 91.2572, loss: 0.2151 +2023-03-04 23:19:07,627 - mmseg - INFO - Iter [47850/80000] lr: 9.375e-06, eta: 1:46:00, time: 0.177, data_time: 0.006, memory: 52390, decode.loss_ce: 0.2125, decode.acc_seg: 91.3318, loss: 0.2125 +2023-03-04 23:19:16,583 - mmseg - INFO - Iter [47900/80000] lr: 9.375e-06, eta: 1:45:49, time: 0.179, data_time: 0.006, memory: 52390, decode.loss_ce: 0.2067, decode.acc_seg: 91.4831, loss: 0.2067 +2023-03-04 23:19:25,725 - mmseg - INFO - Iter [47950/80000] lr: 9.375e-06, eta: 1:45:39, time: 0.183, data_time: 0.007, memory: 52390, decode.loss_ce: 0.2175, decode.acc_seg: 91.2625, loss: 0.2175 +2023-03-04 23:19:34,680 - mmseg - INFO - Saving checkpoint at 48000 iterations +2023-03-04 23:19:35,416 - mmseg - INFO - Exp name: ablation_segformer_mit_b2_segformer_head_unet_fc_single_step_ade_pretrained_freeze_embed_80k_ade20k151_logits.py +2023-03-04 23:19:35,416 - mmseg - INFO - Iter [48000/80000] lr: 9.375e-06, eta: 1:45:29, time: 0.194, data_time: 0.007, memory: 52390, decode.loss_ce: 0.2185, decode.acc_seg: 90.9800, loss: 0.2185 +2023-03-04 23:19:50,883 - mmseg - INFO - per class results: +2023-03-04 23:19:50,889 - mmseg - INFO - ++---------------------+-------+-------+ +| Class | IoU | Acc | ++---------------------+-------+-------+ +| background | nan | nan | +| wall | 76.52 | 89.62 | +| building | 80.86 | 92.79 | +| sky | 94.21 | 97.73 | +| floor | 81.09 | 89.86 | +| tree | 72.74 | 86.66 | +| ceiling | 84.12 | 93.07 | +| road | 81.56 | 90.41 | +| bed | 86.19 | 95.31 | +| windowpane | 59.59 | 74.3 | +| grass | 64.29 | 79.24 | +| cabinet | 59.62 | 71.45 | +| sidewalk | 63.01 | 78.99 | +| person | 78.21 | 91.54 | +| earth | 34.32 | 45.9 | +| door | 42.77 | 52.46 | +| table | 57.96 | 70.42 | +| mountain | 55.47 | 70.26 | +| plant | 48.39 | 57.93 | +| curtain | 73.23 | 82.25 | +| chair | 53.78 | 68.23 | +| car | 80.19 | 92.19 | +| water | 56.98 | 74.43 | +| painting | 69.55 | 83.71 | +| sofa | 61.92 | 83.73 | +| shelf | 42.02 | 58.36 | +| house | 40.37 | 53.86 | +| sea | 59.58 | 77.18 | +| mirror | 63.31 | 73.38 | +| rug | 66.51 | 77.16 | +| field | 27.45 | 46.87 | +| armchair | 33.89 | 46.98 | +| seat | 65.91 | 82.72 | +| fence | 40.29 | 51.42 | +| desk | 44.63 | 69.21 | +| rock | 36.27 | 56.67 | +| wardrobe | 56.6 | 66.8 | +| lamp | 58.31 | 71.96 | +| bathtub | 75.18 | 80.81 | +| railing | 32.95 | 43.05 | +| cushion | 54.0 | 63.97 | +| base | 22.54 | 27.56 | +| box | 22.45 | 31.0 | +| column | 45.28 | 55.31 | +| signboard | 36.3 | 48.14 | +| chest of drawers | 35.89 | 59.04 | +| counter | 29.42 | 38.47 | +| sand | 43.4 | 62.31 | +| sink | 64.1 | 75.18 | +| skyscraper | 48.65 | 60.54 | +| fireplace | 72.98 | 84.47 | +| refrigerator | 70.89 | 83.43 | +| grandstand | 46.91 | 65.09 | +| path | 22.57 | 29.63 | +| stairs | 30.43 | 36.76 | +| runway | 67.9 | 87.47 | +| case | 49.15 | 59.66 | +| pool table | 91.49 | 94.85 | +| pillow | 56.54 | 65.3 | +| screen door | 63.68 | 70.78 | +| stairway | 24.43 | 36.4 | +| river | 11.5 | 22.16 | +| bridge | 29.35 | 33.92 | +| bookcase | 42.4 | 61.6 | +| blind | 44.19 | 50.97 | +| coffee table | 48.44 | 81.74 | +| toilet | 81.81 | 89.43 | +| flower | 36.56 | 49.06 | +| book | 42.46 | 63.71 | +| hill | 14.02 | 25.87 | +| bench | 40.46 | 52.56 | +| countertop | 52.76 | 71.52 | +| stove | 69.25 | 82.17 | +| palm | 48.5 | 70.37 | +| kitchen island | 37.51 | 61.97 | +| computer | 59.35 | 68.43 | +| swivel chair | 44.62 | 67.92 | +| boat | 69.65 | 80.96 | +| bar | 23.36 | 32.34 | +| arcade machine | 70.43 | 72.81 | +| hovel | 24.68 | 27.01 | +| bus | 78.19 | 89.78 | +| towel | 63.07 | 70.69 | +| light | 45.65 | 49.54 | +| truck | 14.87 | 19.99 | +| tower | 6.62 | 10.53 | +| chandelier | 62.41 | 78.71 | +| awning | 20.6 | 23.61 | +| streetlight | 23.87 | 34.21 | +| booth | 39.06 | 40.02 | +| television receiver | 63.57 | 75.62 | +| airplane | 56.67 | 61.77 | +| dirt track | 12.46 | 26.48 | +| apparel | 34.54 | 56.15 | +| pole | 14.94 | 18.52 | +| land | 2.61 | 3.44 | +| bannister | 9.85 | 12.39 | +| escalator | 23.86 | 26.13 | +| ottoman | 41.44 | 62.03 | +| bottle | 34.43 | 56.23 | +| buffet | 39.87 | 45.84 | +| poster | 22.7 | 37.47 | +| stage | 14.47 | 18.26 | +| van | 38.01 | 50.6 | +| ship | 75.17 | 95.38 | +| fountain | 15.03 | 15.31 | +| conveyer belt | 82.47 | 88.65 | +| canopy | 26.52 | 28.49 | +| washer | 77.54 | 79.07 | +| plaything | 20.67 | 26.79 | +| swimming pool | 75.54 | 82.09 | +| stool | 39.99 | 57.68 | +| barrel | 38.54 | 61.33 | +| basket | 23.93 | 36.71 | +| waterfall | 52.04 | 67.65 | +| tent | 93.93 | 97.3 | +| bag | 15.62 | 20.22 | +| minibike | 60.56 | 74.85 | +| cradle | 82.46 | 95.95 | +| oven | 46.56 | 65.09 | +| ball | 45.26 | 52.57 | +| food | 50.05 | 59.66 | +| step | 5.87 | 6.61 | +| tank | 52.1 | 57.66 | +| trade name | 25.95 | 29.08 | +| microwave | 74.13 | 80.14 | +| pot | 29.66 | 33.98 | +| animal | 52.85 | 59.4 | +| bicycle | 51.32 | 64.88 | +| lake | 56.89 | 62.92 | +| dishwasher | 63.9 | 76.32 | +| screen | 68.49 | 80.32 | +| blanket | 16.27 | 18.78 | +| sculpture | 56.41 | 78.07 | +| hood | 54.5 | 60.8 | +| sconce | 40.42 | 47.92 | +| vase | 31.34 | 49.41 | +| traffic light | 29.65 | 42.87 | +| tray | 4.83 | 8.04 | +| ashcan | 39.62 | 50.41 | +| fan | 55.98 | 67.22 | +| pier | 50.96 | 69.35 | +| crt screen | 8.92 | 22.28 | +| plate | 48.18 | 67.34 | +| monitor | 14.55 | 17.06 | +| bulletin board | 41.13 | 55.87 | +| shower | 1.22 | 5.44 | +| radiator | 56.71 | 63.73 | +| glass | 12.53 | 14.37 | +| clock | 33.51 | 37.88 | +| flag | 36.45 | 41.02 | ++---------------------+-------+-------+ +2023-03-04 23:19:50,889 - mmseg - INFO - Summary: +2023-03-04 23:19:50,889 - mmseg - INFO - ++-------+------+-------+ +| aAcc | mIoU | mAcc | ++-------+------+-------+ +| 82.07 | 47.0 | 58.08 | ++-------+------+-------+ +2023-03-04 23:19:50,912 - mmseg - INFO - The previous best checkpoint /mnt/petrelfs/laizeqiang/mmseg-baseline/work_dirs2/ablation_segformer_mit_b2_segformer_head_unet_fc_single_step_ade_pretrained_freeze_embed_80k_ade20k151_logits/best_mIoU_iter_40000.pth was removed +2023-03-04 23:19:51,658 - mmseg - INFO - Now best checkpoint is saved as best_mIoU_iter_48000.pth. +2023-03-04 23:19:51,658 - mmseg - INFO - Best mIoU is 0.4700 at 48000 iter. +2023-03-04 23:19:51,659 - mmseg - INFO - Exp name: ablation_segformer_mit_b2_segformer_head_unet_fc_single_step_ade_pretrained_freeze_embed_80k_ade20k151_logits.py +2023-03-04 23:19:51,659 - mmseg - INFO - Iter(val) [250] aAcc: 0.8207, mIoU: 0.4700, mAcc: 0.5808, IoU.background: nan, IoU.wall: 0.7652, IoU.building: 0.8086, IoU.sky: 0.9421, IoU.floor: 0.8109, IoU.tree: 0.7274, IoU.ceiling: 0.8412, IoU.road: 0.8156, IoU.bed : 0.8619, IoU.windowpane: 0.5959, IoU.grass: 0.6429, IoU.cabinet: 0.5962, IoU.sidewalk: 0.6301, IoU.person: 0.7821, IoU.earth: 0.3432, IoU.door: 0.4277, IoU.table: 0.5796, IoU.mountain: 0.5547, IoU.plant: 0.4839, IoU.curtain: 0.7323, IoU.chair: 0.5378, IoU.car: 0.8019, IoU.water: 0.5698, IoU.painting: 0.6955, IoU.sofa: 0.6192, IoU.shelf: 0.4202, IoU.house: 0.4037, IoU.sea: 0.5958, IoU.mirror: 0.6331, IoU.rug: 0.6651, IoU.field: 0.2745, IoU.armchair: 0.3389, IoU.seat: 0.6591, IoU.fence: 0.4029, IoU.desk: 0.4463, IoU.rock: 0.3627, IoU.wardrobe: 0.5660, IoU.lamp: 0.5831, IoU.bathtub: 0.7518, IoU.railing: 0.3295, IoU.cushion: 0.5400, IoU.base: 0.2254, IoU.box: 0.2245, IoU.column: 0.4528, IoU.signboard: 0.3630, IoU.chest of drawers: 0.3589, IoU.counter: 0.2942, IoU.sand: 0.4340, IoU.sink: 0.6410, IoU.skyscraper: 0.4865, IoU.fireplace: 0.7298, IoU.refrigerator: 0.7089, IoU.grandstand: 0.4691, IoU.path: 0.2257, IoU.stairs: 0.3043, IoU.runway: 0.6790, IoU.case: 0.4915, IoU.pool table: 0.9149, IoU.pillow: 0.5654, IoU.screen door: 0.6368, IoU.stairway: 0.2443, IoU.river: 0.1150, IoU.bridge: 0.2935, IoU.bookcase: 0.4240, IoU.blind: 0.4419, IoU.coffee table: 0.4844, IoU.toilet: 0.8181, IoU.flower: 0.3656, IoU.book: 0.4246, IoU.hill: 0.1402, IoU.bench: 0.4046, IoU.countertop: 0.5276, IoU.stove: 0.6925, IoU.palm: 0.4850, IoU.kitchen island: 0.3751, IoU.computer: 0.5935, IoU.swivel chair: 0.4462, IoU.boat: 0.6965, IoU.bar: 0.2336, IoU.arcade machine: 0.7043, IoU.hovel: 0.2468, IoU.bus: 0.7819, IoU.towel: 0.6307, IoU.light: 0.4565, IoU.truck: 0.1487, IoU.tower: 0.0662, IoU.chandelier: 0.6241, IoU.awning: 0.2060, IoU.streetlight: 0.2387, IoU.booth: 0.3906, IoU.television receiver: 0.6357, IoU.airplane: 0.5667, IoU.dirt track: 0.1246, IoU.apparel: 0.3454, IoU.pole: 0.1494, IoU.land: 0.0261, IoU.bannister: 0.0985, IoU.escalator: 0.2386, IoU.ottoman: 0.4144, IoU.bottle: 0.3443, IoU.buffet: 0.3987, IoU.poster: 0.2270, IoU.stage: 0.1447, IoU.van: 0.3801, IoU.ship: 0.7517, IoU.fountain: 0.1503, IoU.conveyer belt: 0.8247, IoU.canopy: 0.2652, IoU.washer: 0.7754, IoU.plaything: 0.2067, IoU.swimming pool: 0.7554, IoU.stool: 0.3999, IoU.barrel: 0.3854, IoU.basket: 0.2393, IoU.waterfall: 0.5204, IoU.tent: 0.9393, IoU.bag: 0.1562, IoU.minibike: 0.6056, IoU.cradle: 0.8246, IoU.oven: 0.4656, IoU.ball: 0.4526, IoU.food: 0.5005, IoU.step: 0.0587, IoU.tank: 0.5210, IoU.trade name: 0.2595, IoU.microwave: 0.7413, IoU.pot: 0.2966, IoU.animal: 0.5285, IoU.bicycle: 0.5132, IoU.lake: 0.5689, IoU.dishwasher: 0.6390, IoU.screen: 0.6849, IoU.blanket: 0.1627, IoU.sculpture: 0.5641, IoU.hood: 0.5450, IoU.sconce: 0.4042, IoU.vase: 0.3134, IoU.traffic light: 0.2965, IoU.tray: 0.0483, IoU.ashcan: 0.3962, IoU.fan: 0.5598, IoU.pier: 0.5096, IoU.crt screen: 0.0892, IoU.plate: 0.4818, IoU.monitor: 0.1455, IoU.bulletin board: 0.4113, IoU.shower: 0.0122, IoU.radiator: 0.5671, IoU.glass: 0.1253, IoU.clock: 0.3351, IoU.flag: 0.3645, Acc.background: nan, Acc.wall: 0.8962, Acc.building: 0.9279, Acc.sky: 0.9773, Acc.floor: 0.8986, Acc.tree: 0.8666, Acc.ceiling: 0.9307, Acc.road: 0.9041, Acc.bed : 0.9531, Acc.windowpane: 0.7430, Acc.grass: 0.7924, Acc.cabinet: 0.7145, Acc.sidewalk: 0.7899, Acc.person: 0.9154, Acc.earth: 0.4590, Acc.door: 0.5246, Acc.table: 0.7042, Acc.mountain: 0.7026, Acc.plant: 0.5793, Acc.curtain: 0.8225, Acc.chair: 0.6823, Acc.car: 0.9219, Acc.water: 0.7443, Acc.painting: 0.8371, Acc.sofa: 0.8373, Acc.shelf: 0.5836, Acc.house: 0.5386, Acc.sea: 0.7718, Acc.mirror: 0.7338, Acc.rug: 0.7716, Acc.field: 0.4687, Acc.armchair: 0.4698, Acc.seat: 0.8272, Acc.fence: 0.5142, Acc.desk: 0.6921, Acc.rock: 0.5667, Acc.wardrobe: 0.6680, Acc.lamp: 0.7196, Acc.bathtub: 0.8081, Acc.railing: 0.4305, Acc.cushion: 0.6397, Acc.base: 0.2756, Acc.box: 0.3100, Acc.column: 0.5531, Acc.signboard: 0.4814, Acc.chest of drawers: 0.5904, Acc.counter: 0.3847, Acc.sand: 0.6231, Acc.sink: 0.7518, Acc.skyscraper: 0.6054, Acc.fireplace: 0.8447, Acc.refrigerator: 0.8343, Acc.grandstand: 0.6509, Acc.path: 0.2963, Acc.stairs: 0.3676, Acc.runway: 0.8747, Acc.case: 0.5966, Acc.pool table: 0.9485, Acc.pillow: 0.6530, Acc.screen door: 0.7078, Acc.stairway: 0.3640, Acc.river: 0.2216, Acc.bridge: 0.3392, Acc.bookcase: 0.6160, Acc.blind: 0.5097, Acc.coffee table: 0.8174, Acc.toilet: 0.8943, Acc.flower: 0.4906, Acc.book: 0.6371, Acc.hill: 0.2587, Acc.bench: 0.5256, Acc.countertop: 0.7152, Acc.stove: 0.8217, Acc.palm: 0.7037, Acc.kitchen island: 0.6197, Acc.computer: 0.6843, Acc.swivel chair: 0.6792, Acc.boat: 0.8096, Acc.bar: 0.3234, Acc.arcade machine: 0.7281, Acc.hovel: 0.2701, Acc.bus: 0.8978, Acc.towel: 0.7069, Acc.light: 0.4954, Acc.truck: 0.1999, Acc.tower: 0.1053, Acc.chandelier: 0.7871, Acc.awning: 0.2361, Acc.streetlight: 0.3421, Acc.booth: 0.4002, Acc.television receiver: 0.7562, Acc.airplane: 0.6177, Acc.dirt track: 0.2648, Acc.apparel: 0.5615, Acc.pole: 0.1852, Acc.land: 0.0344, Acc.bannister: 0.1239, Acc.escalator: 0.2613, Acc.ottoman: 0.6203, Acc.bottle: 0.5623, Acc.buffet: 0.4584, Acc.poster: 0.3747, Acc.stage: 0.1826, Acc.van: 0.5060, Acc.ship: 0.9538, Acc.fountain: 0.1531, Acc.conveyer belt: 0.8865, Acc.canopy: 0.2849, Acc.washer: 0.7907, Acc.plaything: 0.2679, Acc.swimming pool: 0.8209, Acc.stool: 0.5768, Acc.barrel: 0.6133, Acc.basket: 0.3671, Acc.waterfall: 0.6765, Acc.tent: 0.9730, Acc.bag: 0.2022, Acc.minibike: 0.7485, Acc.cradle: 0.9595, Acc.oven: 0.6509, Acc.ball: 0.5257, Acc.food: 0.5966, Acc.step: 0.0661, Acc.tank: 0.5766, Acc.trade name: 0.2908, Acc.microwave: 0.8014, Acc.pot: 0.3398, Acc.animal: 0.5940, Acc.bicycle: 0.6488, Acc.lake: 0.6292, Acc.dishwasher: 0.7632, Acc.screen: 0.8032, Acc.blanket: 0.1878, Acc.sculpture: 0.7807, Acc.hood: 0.6080, Acc.sconce: 0.4792, Acc.vase: 0.4941, Acc.traffic light: 0.4287, Acc.tray: 0.0804, Acc.ashcan: 0.5041, Acc.fan: 0.6722, Acc.pier: 0.6935, Acc.crt screen: 0.2228, Acc.plate: 0.6734, Acc.monitor: 0.1706, Acc.bulletin board: 0.5587, Acc.shower: 0.0544, Acc.radiator: 0.6373, Acc.glass: 0.1437, Acc.clock: 0.3788, Acc.flag: 0.4102 +2023-03-04 23:20:00,711 - mmseg - INFO - Iter [48050/80000] lr: 9.375e-06, eta: 1:45:31, time: 0.506, data_time: 0.332, memory: 52390, decode.loss_ce: 0.2229, decode.acc_seg: 91.0077, loss: 0.2229 +2023-03-04 23:20:09,684 - mmseg - INFO - Iter [48100/80000] lr: 9.375e-06, eta: 1:45:20, time: 0.179, data_time: 0.007, memory: 52390, decode.loss_ce: 0.2155, decode.acc_seg: 91.1637, loss: 0.2155 +2023-03-04 23:20:18,424 - mmseg - INFO - Iter [48150/80000] lr: 9.375e-06, eta: 1:45:10, time: 0.175, data_time: 0.007, memory: 52390, decode.loss_ce: 0.2137, decode.acc_seg: 91.1289, loss: 0.2137 +2023-03-04 23:20:27,112 - mmseg - INFO - Iter [48200/80000] lr: 9.375e-06, eta: 1:44:59, time: 0.174, data_time: 0.007, memory: 52390, decode.loss_ce: 0.2154, decode.acc_seg: 91.3869, loss: 0.2154 +2023-03-04 23:20:35,854 - mmseg - INFO - Iter [48250/80000] lr: 9.375e-06, eta: 1:44:48, time: 0.175, data_time: 0.006, memory: 52390, decode.loss_ce: 0.2140, decode.acc_seg: 91.2176, loss: 0.2140 +2023-03-04 23:20:44,652 - mmseg - INFO - Iter [48300/80000] lr: 9.375e-06, eta: 1:44:37, time: 0.176, data_time: 0.006, memory: 52390, decode.loss_ce: 0.2170, decode.acc_seg: 91.0636, loss: 0.2170 +2023-03-04 23:20:53,457 - mmseg - INFO - Iter [48350/80000] lr: 9.375e-06, eta: 1:44:26, time: 0.176, data_time: 0.007, memory: 52390, decode.loss_ce: 0.2137, decode.acc_seg: 91.3780, loss: 0.2137 +2023-03-04 23:21:04,922 - mmseg - INFO - Iter [48400/80000] lr: 9.375e-06, eta: 1:44:18, time: 0.229, data_time: 0.056, memory: 52390, decode.loss_ce: 0.2081, decode.acc_seg: 91.5687, loss: 0.2081 +2023-03-04 23:21:13,617 - mmseg - INFO - Iter [48450/80000] lr: 9.375e-06, eta: 1:44:07, time: 0.174, data_time: 0.007, memory: 52390, decode.loss_ce: 0.2148, decode.acc_seg: 91.4316, loss: 0.2148 +2023-03-04 23:21:22,222 - mmseg - INFO - Iter [48500/80000] lr: 9.375e-06, eta: 1:43:56, time: 0.172, data_time: 0.006, memory: 52390, decode.loss_ce: 0.2127, decode.acc_seg: 91.4385, loss: 0.2127 +2023-03-04 23:21:31,675 - mmseg - INFO - Iter [48550/80000] lr: 9.375e-06, eta: 1:43:46, time: 0.189, data_time: 0.007, memory: 52390, decode.loss_ce: 0.2163, decode.acc_seg: 91.1213, loss: 0.2163 +2023-03-04 23:21:40,546 - mmseg - INFO - Iter [48600/80000] lr: 9.375e-06, eta: 1:43:35, time: 0.177, data_time: 0.006, memory: 52390, decode.loss_ce: 0.2142, decode.acc_seg: 91.1816, loss: 0.2142 +2023-03-04 23:21:49,031 - mmseg - INFO - Iter [48650/80000] lr: 9.375e-06, eta: 1:43:24, time: 0.170, data_time: 0.007, memory: 52390, decode.loss_ce: 0.2116, decode.acc_seg: 91.2467, loss: 0.2116 +2023-03-04 23:21:57,768 - mmseg - INFO - Iter [48700/80000] lr: 9.375e-06, eta: 1:43:13, time: 0.175, data_time: 0.006, memory: 52390, decode.loss_ce: 0.2072, decode.acc_seg: 91.4711, loss: 0.2072 +2023-03-04 23:22:06,724 - mmseg - INFO - Iter [48750/80000] lr: 9.375e-06, eta: 1:43:03, time: 0.179, data_time: 0.006, memory: 52390, decode.loss_ce: 0.2119, decode.acc_seg: 91.2681, loss: 0.2119 +2023-03-04 23:22:15,500 - mmseg - INFO - Iter [48800/80000] lr: 9.375e-06, eta: 1:42:52, time: 0.176, data_time: 0.007, memory: 52390, decode.loss_ce: 0.2123, decode.acc_seg: 91.2411, loss: 0.2123 +2023-03-04 23:22:24,073 - mmseg - INFO - Iter [48850/80000] lr: 9.375e-06, eta: 1:42:41, time: 0.171, data_time: 0.007, memory: 52390, decode.loss_ce: 0.2201, decode.acc_seg: 90.9742, loss: 0.2201 +2023-03-04 23:22:32,545 - mmseg - INFO - Iter [48900/80000] lr: 9.375e-06, eta: 1:42:30, time: 0.169, data_time: 0.006, memory: 52390, decode.loss_ce: 0.2136, decode.acc_seg: 91.3882, loss: 0.2136 +2023-03-04 23:22:41,383 - mmseg - INFO - Iter [48950/80000] lr: 9.375e-06, eta: 1:42:19, time: 0.177, data_time: 0.006, memory: 52390, decode.loss_ce: 0.2224, decode.acc_seg: 90.8354, loss: 0.2224 +2023-03-04 23:22:50,389 - mmseg - INFO - Exp name: ablation_segformer_mit_b2_segformer_head_unet_fc_single_step_ade_pretrained_freeze_embed_80k_ade20k151_logits.py +2023-03-04 23:22:50,389 - mmseg - INFO - Iter [49000/80000] lr: 9.375e-06, eta: 1:42:09, time: 0.180, data_time: 0.006, memory: 52390, decode.loss_ce: 0.2145, decode.acc_seg: 91.3921, loss: 0.2145 +2023-03-04 23:23:01,846 - mmseg - INFO - Iter [49050/80000] lr: 9.375e-06, eta: 1:42:00, time: 0.229, data_time: 0.054, memory: 52390, decode.loss_ce: 0.2048, decode.acc_seg: 91.4949, loss: 0.2048 +2023-03-04 23:23:10,533 - mmseg - INFO - Iter [49100/80000] lr: 9.375e-06, eta: 1:41:49, time: 0.174, data_time: 0.007, memory: 52390, decode.loss_ce: 0.2107, decode.acc_seg: 91.2823, loss: 0.2107 +2023-03-04 23:23:19,539 - mmseg - INFO - Iter [49150/80000] lr: 9.375e-06, eta: 1:41:39, time: 0.180, data_time: 0.006, memory: 52390, decode.loss_ce: 0.2196, decode.acc_seg: 91.1219, loss: 0.2196 +2023-03-04 23:23:28,413 - mmseg - INFO - Iter [49200/80000] lr: 9.375e-06, eta: 1:41:28, time: 0.177, data_time: 0.007, memory: 52390, decode.loss_ce: 0.2098, decode.acc_seg: 91.3964, loss: 0.2098 +2023-03-04 23:23:37,729 - mmseg - INFO - Iter [49250/80000] lr: 9.375e-06, eta: 1:41:18, time: 0.187, data_time: 0.007, memory: 52390, decode.loss_ce: 0.2172, decode.acc_seg: 91.2802, loss: 0.2172 +2023-03-04 23:23:46,399 - mmseg - INFO - Iter [49300/80000] lr: 9.375e-06, eta: 1:41:07, time: 0.173, data_time: 0.007, memory: 52390, decode.loss_ce: 0.2057, decode.acc_seg: 91.5823, loss: 0.2057 +2023-03-04 23:23:55,158 - mmseg - INFO - Iter [49350/80000] lr: 9.375e-06, eta: 1:40:56, time: 0.175, data_time: 0.007, memory: 52390, decode.loss_ce: 0.2187, decode.acc_seg: 90.9884, loss: 0.2187 +2023-03-04 23:24:03,737 - mmseg - INFO - Iter [49400/80000] lr: 9.375e-06, eta: 1:40:45, time: 0.172, data_time: 0.007, memory: 52390, decode.loss_ce: 0.2070, decode.acc_seg: 91.3621, loss: 0.2070 +2023-03-04 23:24:12,655 - mmseg - INFO - Iter [49450/80000] lr: 9.375e-06, eta: 1:40:35, time: 0.178, data_time: 0.006, memory: 52390, decode.loss_ce: 0.2155, decode.acc_seg: 91.3086, loss: 0.2155 +2023-03-04 23:24:21,612 - mmseg - INFO - Iter [49500/80000] lr: 9.375e-06, eta: 1:40:24, time: 0.179, data_time: 0.007, memory: 52390, decode.loss_ce: 0.2189, decode.acc_seg: 91.1398, loss: 0.2189 +2023-03-04 23:24:30,230 - mmseg - INFO - Iter [49550/80000] lr: 9.375e-06, eta: 1:40:13, time: 0.172, data_time: 0.007, memory: 52390, decode.loss_ce: 0.2119, decode.acc_seg: 91.3226, loss: 0.2119 +2023-03-04 23:24:39,413 - mmseg - INFO - Iter [49600/80000] lr: 9.375e-06, eta: 1:40:03, time: 0.183, data_time: 0.006, memory: 52390, decode.loss_ce: 0.2052, decode.acc_seg: 91.7124, loss: 0.2052 +2023-03-04 23:24:50,753 - mmseg - INFO - Iter [49650/80000] lr: 9.375e-06, eta: 1:39:54, time: 0.227, data_time: 0.056, memory: 52390, decode.loss_ce: 0.2184, decode.acc_seg: 91.2062, loss: 0.2184 +2023-03-04 23:24:59,604 - mmseg - INFO - Iter [49700/80000] lr: 9.375e-06, eta: 1:39:44, time: 0.177, data_time: 0.006, memory: 52390, decode.loss_ce: 0.2138, decode.acc_seg: 91.2878, loss: 0.2138 +2023-03-04 23:25:08,328 - mmseg - INFO - Iter [49750/80000] lr: 9.375e-06, eta: 1:39:33, time: 0.175, data_time: 0.007, memory: 52390, decode.loss_ce: 0.2140, decode.acc_seg: 91.3070, loss: 0.2140 +2023-03-04 23:25:16,957 - mmseg - INFO - Iter [49800/80000] lr: 9.375e-06, eta: 1:39:22, time: 0.173, data_time: 0.006, memory: 52390, decode.loss_ce: 0.2118, decode.acc_seg: 91.4111, loss: 0.2118 +2023-03-04 23:25:26,058 - mmseg - INFO - Iter [49850/80000] lr: 9.375e-06, eta: 1:39:12, time: 0.182, data_time: 0.006, memory: 52390, decode.loss_ce: 0.2127, decode.acc_seg: 91.3156, loss: 0.2127 +2023-03-04 23:25:35,167 - mmseg - INFO - Iter [49900/80000] lr: 9.375e-06, eta: 1:39:01, time: 0.182, data_time: 0.006, memory: 52390, decode.loss_ce: 0.2114, decode.acc_seg: 91.3517, loss: 0.2114 +2023-03-04 23:25:44,175 - mmseg - INFO - Iter [49950/80000] lr: 9.375e-06, eta: 1:38:51, time: 0.180, data_time: 0.006, memory: 52390, decode.loss_ce: 0.2117, decode.acc_seg: 91.2622, loss: 0.2117 +2023-03-04 23:25:52,816 - mmseg - INFO - Exp name: ablation_segformer_mit_b2_segformer_head_unet_fc_single_step_ade_pretrained_freeze_embed_80k_ade20k151_logits.py +2023-03-04 23:25:52,816 - mmseg - INFO - Iter [50000/80000] lr: 9.375e-06, eta: 1:38:40, time: 0.173, data_time: 0.006, memory: 52390, decode.loss_ce: 0.2192, decode.acc_seg: 91.0601, loss: 0.2192 +2023-03-04 23:26:01,564 - mmseg - INFO - Iter [50050/80000] lr: 4.687e-06, eta: 1:38:29, time: 0.175, data_time: 0.007, memory: 52390, decode.loss_ce: 0.2135, decode.acc_seg: 91.1247, loss: 0.2135 +2023-03-04 23:26:10,083 - mmseg - INFO - Iter [50100/80000] lr: 4.687e-06, eta: 1:38:19, time: 0.170, data_time: 0.007, memory: 52390, decode.loss_ce: 0.2162, decode.acc_seg: 91.1288, loss: 0.2162 +2023-03-04 23:26:19,074 - mmseg - INFO - Iter [50150/80000] lr: 4.687e-06, eta: 1:38:08, time: 0.180, data_time: 0.007, memory: 52390, decode.loss_ce: 0.2089, decode.acc_seg: 91.2457, loss: 0.2089 +2023-03-04 23:26:27,742 - mmseg - INFO - Iter [50200/80000] lr: 4.687e-06, eta: 1:37:57, time: 0.174, data_time: 0.007, memory: 52390, decode.loss_ce: 0.2150, decode.acc_seg: 91.2249, loss: 0.2150 +2023-03-04 23:26:36,906 - mmseg - INFO - Iter [50250/80000] lr: 4.687e-06, eta: 1:37:47, time: 0.183, data_time: 0.007, memory: 52390, decode.loss_ce: 0.2120, decode.acc_seg: 91.3460, loss: 0.2120 +2023-03-04 23:26:48,681 - mmseg - INFO - Iter [50300/80000] lr: 4.687e-06, eta: 1:37:39, time: 0.236, data_time: 0.052, memory: 52390, decode.loss_ce: 0.2201, decode.acc_seg: 91.2775, loss: 0.2201 +2023-03-04 23:26:57,814 - mmseg - INFO - Iter [50350/80000] lr: 4.687e-06, eta: 1:37:28, time: 0.183, data_time: 0.006, memory: 52390, decode.loss_ce: 0.2133, decode.acc_seg: 91.3738, loss: 0.2133 +2023-03-04 23:27:07,020 - mmseg - INFO - Iter [50400/80000] lr: 4.687e-06, eta: 1:37:18, time: 0.184, data_time: 0.007, memory: 52390, decode.loss_ce: 0.2086, decode.acc_seg: 91.4866, loss: 0.2086 +2023-03-04 23:27:15,992 - mmseg - INFO - Iter [50450/80000] lr: 4.687e-06, eta: 1:37:07, time: 0.179, data_time: 0.007, memory: 52390, decode.loss_ce: 0.2099, decode.acc_seg: 91.2962, loss: 0.2099 +2023-03-04 23:27:24,982 - mmseg - INFO - Iter [50500/80000] lr: 4.687e-06, eta: 1:36:57, time: 0.180, data_time: 0.006, memory: 52390, decode.loss_ce: 0.2154, decode.acc_seg: 91.3165, loss: 0.2154 +2023-03-04 23:27:33,810 - mmseg - INFO - Iter [50550/80000] lr: 4.687e-06, eta: 1:36:46, time: 0.176, data_time: 0.006, memory: 52390, decode.loss_ce: 0.2159, decode.acc_seg: 91.1529, loss: 0.2159 +2023-03-04 23:27:43,209 - mmseg - INFO - Iter [50600/80000] lr: 4.687e-06, eta: 1:36:36, time: 0.188, data_time: 0.007, memory: 52390, decode.loss_ce: 0.2093, decode.acc_seg: 91.3882, loss: 0.2093 +2023-03-04 23:27:51,959 - mmseg - INFO - Iter [50650/80000] lr: 4.687e-06, eta: 1:36:26, time: 0.175, data_time: 0.006, memory: 52390, decode.loss_ce: 0.2209, decode.acc_seg: 90.9538, loss: 0.2209 +2023-03-04 23:28:00,991 - mmseg - INFO - Iter [50700/80000] lr: 4.687e-06, eta: 1:36:15, time: 0.180, data_time: 0.006, memory: 52390, decode.loss_ce: 0.2177, decode.acc_seg: 91.2588, loss: 0.2177 +2023-03-04 23:28:09,985 - mmseg - INFO - Iter [50750/80000] lr: 4.687e-06, eta: 1:36:05, time: 0.180, data_time: 0.006, memory: 52390, decode.loss_ce: 0.2075, decode.acc_seg: 91.4821, loss: 0.2075 +2023-03-04 23:28:19,022 - mmseg - INFO - Iter [50800/80000] lr: 4.687e-06, eta: 1:35:54, time: 0.181, data_time: 0.007, memory: 52390, decode.loss_ce: 0.2131, decode.acc_seg: 91.3175, loss: 0.2131 +2023-03-04 23:28:28,101 - mmseg - INFO - Iter [50850/80000] lr: 4.687e-06, eta: 1:35:44, time: 0.181, data_time: 0.006, memory: 52390, decode.loss_ce: 0.2084, decode.acc_seg: 91.4318, loss: 0.2084 +2023-03-04 23:28:36,822 - mmseg - INFO - Iter [50900/80000] lr: 4.687e-06, eta: 1:35:33, time: 0.175, data_time: 0.007, memory: 52390, decode.loss_ce: 0.2123, decode.acc_seg: 91.4474, loss: 0.2123 +2023-03-04 23:28:48,274 - mmseg - INFO - Iter [50950/80000] lr: 4.687e-06, eta: 1:35:24, time: 0.229, data_time: 0.053, memory: 52390, decode.loss_ce: 0.2168, decode.acc_seg: 91.1639, loss: 0.2168 +2023-03-04 23:28:56,789 - mmseg - INFO - Exp name: ablation_segformer_mit_b2_segformer_head_unet_fc_single_step_ade_pretrained_freeze_embed_80k_ade20k151_logits.py +2023-03-04 23:28:56,789 - mmseg - INFO - Iter [51000/80000] lr: 4.687e-06, eta: 1:35:14, time: 0.170, data_time: 0.006, memory: 52390, decode.loss_ce: 0.2070, decode.acc_seg: 91.3381, loss: 0.2070 +2023-03-04 23:29:05,691 - mmseg - INFO - Iter [51050/80000] lr: 4.687e-06, eta: 1:35:03, time: 0.178, data_time: 0.006, memory: 52390, decode.loss_ce: 0.2080, decode.acc_seg: 91.4810, loss: 0.2080 +2023-03-04 23:29:14,220 - mmseg - INFO - Iter [51100/80000] lr: 4.687e-06, eta: 1:34:53, time: 0.171, data_time: 0.006, memory: 52390, decode.loss_ce: 0.2096, decode.acc_seg: 91.3048, loss: 0.2096 +2023-03-04 23:29:22,861 - mmseg - INFO - Iter [51150/80000] lr: 4.687e-06, eta: 1:34:42, time: 0.173, data_time: 0.006, memory: 52390, decode.loss_ce: 0.2158, decode.acc_seg: 91.1119, loss: 0.2158 +2023-03-04 23:29:32,154 - mmseg - INFO - Iter [51200/80000] lr: 4.687e-06, eta: 1:34:32, time: 0.186, data_time: 0.006, memory: 52390, decode.loss_ce: 0.2045, decode.acc_seg: 91.6616, loss: 0.2045 +2023-03-04 23:29:40,882 - mmseg - INFO - Iter [51250/80000] lr: 4.687e-06, eta: 1:34:21, time: 0.175, data_time: 0.007, memory: 52390, decode.loss_ce: 0.2207, decode.acc_seg: 91.1678, loss: 0.2207 +2023-03-04 23:29:50,061 - mmseg - INFO - Iter [51300/80000] lr: 4.687e-06, eta: 1:34:11, time: 0.184, data_time: 0.007, memory: 52390, decode.loss_ce: 0.2166, decode.acc_seg: 91.2597, loss: 0.2166 +2023-03-04 23:29:59,441 - mmseg - INFO - Iter [51350/80000] lr: 4.687e-06, eta: 1:34:01, time: 0.188, data_time: 0.007, memory: 52390, decode.loss_ce: 0.2100, decode.acc_seg: 91.4526, loss: 0.2100 +2023-03-04 23:30:08,438 - mmseg - INFO - Iter [51400/80000] lr: 4.687e-06, eta: 1:33:50, time: 0.180, data_time: 0.006, memory: 52390, decode.loss_ce: 0.2157, decode.acc_seg: 91.1766, loss: 0.2157 +2023-03-04 23:30:17,451 - mmseg - INFO - Iter [51450/80000] lr: 4.687e-06, eta: 1:33:40, time: 0.180, data_time: 0.006, memory: 52390, decode.loss_ce: 0.2028, decode.acc_seg: 91.6946, loss: 0.2028 +2023-03-04 23:30:26,286 - mmseg - INFO - Iter [51500/80000] lr: 4.687e-06, eta: 1:33:29, time: 0.177, data_time: 0.007, memory: 52390, decode.loss_ce: 0.2103, decode.acc_seg: 91.4103, loss: 0.2103 +2023-03-04 23:30:37,488 - mmseg - INFO - Iter [51550/80000] lr: 4.687e-06, eta: 1:33:20, time: 0.224, data_time: 0.056, memory: 52390, decode.loss_ce: 0.2157, decode.acc_seg: 91.1423, loss: 0.2157 +2023-03-04 23:30:46,434 - mmseg - INFO - Iter [51600/80000] lr: 4.687e-06, eta: 1:33:10, time: 0.179, data_time: 0.006, memory: 52390, decode.loss_ce: 0.2117, decode.acc_seg: 91.2374, loss: 0.2117 +2023-03-04 23:30:55,003 - mmseg - INFO - Iter [51650/80000] lr: 4.687e-06, eta: 1:32:59, time: 0.171, data_time: 0.007, memory: 52390, decode.loss_ce: 0.2143, decode.acc_seg: 91.4033, loss: 0.2143 +2023-03-04 23:31:04,038 - mmseg - INFO - Iter [51700/80000] lr: 4.687e-06, eta: 1:32:49, time: 0.181, data_time: 0.006, memory: 52390, decode.loss_ce: 0.2048, decode.acc_seg: 91.4812, loss: 0.2048 +2023-03-04 23:31:12,744 - mmseg - INFO - Iter [51750/80000] lr: 4.687e-06, eta: 1:32:38, time: 0.174, data_time: 0.006, memory: 52390, decode.loss_ce: 0.2044, decode.acc_seg: 91.6512, loss: 0.2044 +2023-03-04 23:31:21,267 - mmseg - INFO - Iter [51800/80000] lr: 4.687e-06, eta: 1:32:28, time: 0.170, data_time: 0.006, memory: 52390, decode.loss_ce: 0.2025, decode.acc_seg: 91.6347, loss: 0.2025 +2023-03-04 23:31:31,133 - mmseg - INFO - Iter [51850/80000] lr: 4.687e-06, eta: 1:32:18, time: 0.197, data_time: 0.006, memory: 52390, decode.loss_ce: 0.2143, decode.acc_seg: 91.4029, loss: 0.2143 +2023-03-04 23:31:40,077 - mmseg - INFO - Iter [51900/80000] lr: 4.687e-06, eta: 1:32:07, time: 0.179, data_time: 0.006, memory: 52390, decode.loss_ce: 0.2122, decode.acc_seg: 91.3528, loss: 0.2122 +2023-03-04 23:31:48,788 - mmseg - INFO - Iter [51950/80000] lr: 4.687e-06, eta: 1:31:57, time: 0.174, data_time: 0.006, memory: 52390, decode.loss_ce: 0.2090, decode.acc_seg: 91.4430, loss: 0.2090 +2023-03-04 23:31:57,889 - mmseg - INFO - Exp name: ablation_segformer_mit_b2_segformer_head_unet_fc_single_step_ade_pretrained_freeze_embed_80k_ade20k151_logits.py +2023-03-04 23:31:57,889 - mmseg - INFO - Iter [52000/80000] lr: 4.687e-06, eta: 1:31:47, time: 0.182, data_time: 0.007, memory: 52390, decode.loss_ce: 0.2073, decode.acc_seg: 91.4448, loss: 0.2073 +2023-03-04 23:32:06,928 - mmseg - INFO - Iter [52050/80000] lr: 4.687e-06, eta: 1:31:36, time: 0.181, data_time: 0.007, memory: 52390, decode.loss_ce: 0.2141, decode.acc_seg: 91.2116, loss: 0.2141 +2023-03-04 23:32:16,037 - mmseg - INFO - Iter [52100/80000] lr: 4.687e-06, eta: 1:31:26, time: 0.182, data_time: 0.007, memory: 52390, decode.loss_ce: 0.2076, decode.acc_seg: 91.4021, loss: 0.2076 +2023-03-04 23:32:24,920 - mmseg - INFO - Iter [52150/80000] lr: 4.687e-06, eta: 1:31:15, time: 0.178, data_time: 0.006, memory: 52390, decode.loss_ce: 0.2149, decode.acc_seg: 91.2880, loss: 0.2149 +2023-03-04 23:32:36,121 - mmseg - INFO - Iter [52200/80000] lr: 4.687e-06, eta: 1:31:07, time: 0.224, data_time: 0.054, memory: 52390, decode.loss_ce: 0.2149, decode.acc_seg: 91.2081, loss: 0.2149 +2023-03-04 23:32:44,772 - mmseg - INFO - Iter [52250/80000] lr: 4.687e-06, eta: 1:30:56, time: 0.173, data_time: 0.006, memory: 52390, decode.loss_ce: 0.2141, decode.acc_seg: 91.3942, loss: 0.2141 +2023-03-04 23:32:53,237 - mmseg - INFO - Iter [52300/80000] lr: 4.687e-06, eta: 1:30:45, time: 0.169, data_time: 0.007, memory: 52390, decode.loss_ce: 0.2121, decode.acc_seg: 91.4429, loss: 0.2121 +2023-03-04 23:33:01,955 - mmseg - INFO - Iter [52350/80000] lr: 4.687e-06, eta: 1:30:35, time: 0.174, data_time: 0.006, memory: 52390, decode.loss_ce: 0.2034, decode.acc_seg: 91.7013, loss: 0.2034 +2023-03-04 23:33:10,965 - mmseg - INFO - Iter [52400/80000] lr: 4.687e-06, eta: 1:30:24, time: 0.180, data_time: 0.007, memory: 52390, decode.loss_ce: 0.2160, decode.acc_seg: 91.2413, loss: 0.2160 +2023-03-04 23:33:20,294 - mmseg - INFO - Iter [52450/80000] lr: 4.687e-06, eta: 1:30:14, time: 0.186, data_time: 0.006, memory: 52390, decode.loss_ce: 0.2099, decode.acc_seg: 91.3547, loss: 0.2099 +2023-03-04 23:33:29,008 - mmseg - INFO - Iter [52500/80000] lr: 4.687e-06, eta: 1:30:04, time: 0.175, data_time: 0.007, memory: 52390, decode.loss_ce: 0.2103, decode.acc_seg: 91.4088, loss: 0.2103 +2023-03-04 23:33:37,840 - mmseg - INFO - Iter [52550/80000] lr: 4.687e-06, eta: 1:29:53, time: 0.177, data_time: 0.006, memory: 52390, decode.loss_ce: 0.2163, decode.acc_seg: 91.3228, loss: 0.2163 +2023-03-04 23:33:46,453 - mmseg - INFO - Iter [52600/80000] lr: 4.687e-06, eta: 1:29:43, time: 0.172, data_time: 0.007, memory: 52390, decode.loss_ce: 0.2123, decode.acc_seg: 91.4044, loss: 0.2123 +2023-03-04 23:33:55,552 - mmseg - INFO - Iter [52650/80000] lr: 4.687e-06, eta: 1:29:32, time: 0.182, data_time: 0.007, memory: 52390, decode.loss_ce: 0.2164, decode.acc_seg: 91.2623, loss: 0.2164 +2023-03-04 23:34:04,162 - mmseg - INFO - Iter [52700/80000] lr: 4.687e-06, eta: 1:29:22, time: 0.172, data_time: 0.007, memory: 52390, decode.loss_ce: 0.2036, decode.acc_seg: 91.5536, loss: 0.2036 +2023-03-04 23:34:13,320 - mmseg - INFO - Iter [52750/80000] lr: 4.687e-06, eta: 1:29:12, time: 0.183, data_time: 0.006, memory: 52390, decode.loss_ce: 0.2058, decode.acc_seg: 91.5680, loss: 0.2058 +2023-03-04 23:34:22,027 - mmseg - INFO - Iter [52800/80000] lr: 4.687e-06, eta: 1:29:01, time: 0.174, data_time: 0.007, memory: 52390, decode.loss_ce: 0.2126, decode.acc_seg: 91.2637, loss: 0.2126 +2023-03-04 23:34:33,333 - mmseg - INFO - Iter [52850/80000] lr: 4.687e-06, eta: 1:28:52, time: 0.226, data_time: 0.055, memory: 52390, decode.loss_ce: 0.2044, decode.acc_seg: 91.7135, loss: 0.2044 +2023-03-04 23:34:42,393 - mmseg - INFO - Iter [52900/80000] lr: 4.687e-06, eta: 1:28:42, time: 0.181, data_time: 0.006, memory: 52390, decode.loss_ce: 0.2111, decode.acc_seg: 91.3235, loss: 0.2111 +2023-03-04 23:34:51,110 - mmseg - INFO - Iter [52950/80000] lr: 4.687e-06, eta: 1:28:31, time: 0.174, data_time: 0.007, memory: 52390, decode.loss_ce: 0.2137, decode.acc_seg: 91.3276, loss: 0.2137 +2023-03-04 23:34:59,819 - mmseg - INFO - Exp name: ablation_segformer_mit_b2_segformer_head_unet_fc_single_step_ade_pretrained_freeze_embed_80k_ade20k151_logits.py +2023-03-04 23:34:59,820 - mmseg - INFO - Iter [53000/80000] lr: 4.687e-06, eta: 1:28:21, time: 0.174, data_time: 0.006, memory: 52390, decode.loss_ce: 0.2165, decode.acc_seg: 91.1776, loss: 0.2165 +2023-03-04 23:35:08,426 - mmseg - INFO - Iter [53050/80000] lr: 4.687e-06, eta: 1:28:10, time: 0.172, data_time: 0.007, memory: 52390, decode.loss_ce: 0.2166, decode.acc_seg: 91.0884, loss: 0.2166 +2023-03-04 23:35:17,147 - mmseg - INFO - Iter [53100/80000] lr: 4.687e-06, eta: 1:28:00, time: 0.174, data_time: 0.006, memory: 52390, decode.loss_ce: 0.2038, decode.acc_seg: 91.6527, loss: 0.2038 +2023-03-04 23:35:26,077 - mmseg - INFO - Iter [53150/80000] lr: 4.687e-06, eta: 1:27:50, time: 0.179, data_time: 0.006, memory: 52390, decode.loss_ce: 0.2012, decode.acc_seg: 91.7073, loss: 0.2012 +2023-03-04 23:35:35,167 - mmseg - INFO - Iter [53200/80000] lr: 4.687e-06, eta: 1:27:39, time: 0.182, data_time: 0.007, memory: 52390, decode.loss_ce: 0.2104, decode.acc_seg: 91.4637, loss: 0.2104 +2023-03-04 23:35:44,037 - mmseg - INFO - Iter [53250/80000] lr: 4.687e-06, eta: 1:27:29, time: 0.177, data_time: 0.007, memory: 52390, decode.loss_ce: 0.2144, decode.acc_seg: 91.2575, loss: 0.2144 +2023-03-04 23:35:52,697 - mmseg - INFO - Iter [53300/80000] lr: 4.687e-06, eta: 1:27:19, time: 0.173, data_time: 0.006, memory: 52390, decode.loss_ce: 0.2124, decode.acc_seg: 91.4345, loss: 0.2124 +2023-03-04 23:36:01,484 - mmseg - INFO - Iter [53350/80000] lr: 4.687e-06, eta: 1:27:08, time: 0.176, data_time: 0.006, memory: 52390, decode.loss_ce: 0.2097, decode.acc_seg: 91.4610, loss: 0.2097 +2023-03-04 23:36:10,049 - mmseg - INFO - Iter [53400/80000] lr: 4.687e-06, eta: 1:26:58, time: 0.171, data_time: 0.006, memory: 52390, decode.loss_ce: 0.2194, decode.acc_seg: 91.1690, loss: 0.2194 +2023-03-04 23:36:21,055 - mmseg - INFO - Iter [53450/80000] lr: 4.687e-06, eta: 1:26:48, time: 0.220, data_time: 0.056, memory: 52390, decode.loss_ce: 0.2074, decode.acc_seg: 91.5742, loss: 0.2074 +2023-03-04 23:36:30,216 - mmseg - INFO - Iter [53500/80000] lr: 4.687e-06, eta: 1:26:38, time: 0.183, data_time: 0.007, memory: 52390, decode.loss_ce: 0.2128, decode.acc_seg: 91.3264, loss: 0.2128 +2023-03-04 23:36:39,285 - mmseg - INFO - Iter [53550/80000] lr: 4.687e-06, eta: 1:26:28, time: 0.181, data_time: 0.006, memory: 52390, decode.loss_ce: 0.2106, decode.acc_seg: 91.4200, loss: 0.2106 +2023-03-04 23:36:48,176 - mmseg - INFO - Iter [53600/80000] lr: 4.687e-06, eta: 1:26:18, time: 0.178, data_time: 0.007, memory: 52390, decode.loss_ce: 0.2231, decode.acc_seg: 90.9899, loss: 0.2231 +2023-03-04 23:36:57,116 - mmseg - INFO - Iter [53650/80000] lr: 4.687e-06, eta: 1:26:07, time: 0.179, data_time: 0.007, memory: 52390, decode.loss_ce: 0.2179, decode.acc_seg: 91.1326, loss: 0.2179 +2023-03-04 23:37:05,749 - mmseg - INFO - Iter [53700/80000] lr: 4.687e-06, eta: 1:25:57, time: 0.173, data_time: 0.006, memory: 52390, decode.loss_ce: 0.2123, decode.acc_seg: 91.3074, loss: 0.2123 +2023-03-04 23:37:15,068 - mmseg - INFO - Iter [53750/80000] lr: 4.687e-06, eta: 1:25:47, time: 0.186, data_time: 0.006, memory: 52390, decode.loss_ce: 0.2154, decode.acc_seg: 91.2301, loss: 0.2154 +2023-03-04 23:37:23,773 - mmseg - INFO - Iter [53800/80000] lr: 4.687e-06, eta: 1:25:36, time: 0.174, data_time: 0.007, memory: 52390, decode.loss_ce: 0.2107, decode.acc_seg: 91.5356, loss: 0.2107 +2023-03-04 23:37:32,393 - mmseg - INFO - Iter [53850/80000] lr: 4.687e-06, eta: 1:25:26, time: 0.172, data_time: 0.007, memory: 52390, decode.loss_ce: 0.2058, decode.acc_seg: 91.4564, loss: 0.2058 +2023-03-04 23:37:41,286 - mmseg - INFO - Iter [53900/80000] lr: 4.687e-06, eta: 1:25:16, time: 0.178, data_time: 0.007, memory: 52390, decode.loss_ce: 0.2098, decode.acc_seg: 91.2914, loss: 0.2098 +2023-03-04 23:37:50,042 - mmseg - INFO - Iter [53950/80000] lr: 4.687e-06, eta: 1:25:05, time: 0.175, data_time: 0.007, memory: 52390, decode.loss_ce: 0.2156, decode.acc_seg: 91.3066, loss: 0.2156 +2023-03-04 23:37:58,793 - mmseg - INFO - Exp name: ablation_segformer_mit_b2_segformer_head_unet_fc_single_step_ade_pretrained_freeze_embed_80k_ade20k151_logits.py +2023-03-04 23:37:58,793 - mmseg - INFO - Iter [54000/80000] lr: 4.687e-06, eta: 1:24:55, time: 0.175, data_time: 0.007, memory: 52390, decode.loss_ce: 0.2074, decode.acc_seg: 91.5048, loss: 0.2074 +2023-03-04 23:38:07,858 - mmseg - INFO - Iter [54050/80000] lr: 4.687e-06, eta: 1:24:45, time: 0.181, data_time: 0.006, memory: 52390, decode.loss_ce: 0.2235, decode.acc_seg: 91.0564, loss: 0.2235 +2023-03-04 23:38:19,543 - mmseg - INFO - Iter [54100/80000] lr: 4.687e-06, eta: 1:24:36, time: 0.234, data_time: 0.052, memory: 52390, decode.loss_ce: 0.2046, decode.acc_seg: 91.6248, loss: 0.2046 +2023-03-04 23:38:28,549 - mmseg - INFO - Iter [54150/80000] lr: 4.687e-06, eta: 1:24:26, time: 0.180, data_time: 0.006, memory: 52390, decode.loss_ce: 0.2114, decode.acc_seg: 91.2885, loss: 0.2114 +2023-03-04 23:38:37,322 - mmseg - INFO - Iter [54200/80000] lr: 4.687e-06, eta: 1:24:15, time: 0.176, data_time: 0.007, memory: 52390, decode.loss_ce: 0.2094, decode.acc_seg: 91.4475, loss: 0.2094 +2023-03-04 23:38:46,066 - mmseg - INFO - Iter [54250/80000] lr: 4.687e-06, eta: 1:24:05, time: 0.175, data_time: 0.006, memory: 52390, decode.loss_ce: 0.2106, decode.acc_seg: 91.3126, loss: 0.2106 +2023-03-04 23:38:55,069 - mmseg - INFO - Iter [54300/80000] lr: 4.687e-06, eta: 1:23:55, time: 0.180, data_time: 0.006, memory: 52390, decode.loss_ce: 0.2160, decode.acc_seg: 91.1996, loss: 0.2160 +2023-03-04 23:39:04,285 - mmseg - INFO - Iter [54350/80000] lr: 4.687e-06, eta: 1:23:45, time: 0.184, data_time: 0.006, memory: 52390, decode.loss_ce: 0.2075, decode.acc_seg: 91.5677, loss: 0.2075 +2023-03-04 23:39:13,118 - mmseg - INFO - Iter [54400/80000] lr: 4.687e-06, eta: 1:23:34, time: 0.177, data_time: 0.006, memory: 52390, decode.loss_ce: 0.2163, decode.acc_seg: 91.3261, loss: 0.2163 +2023-03-04 23:39:21,729 - mmseg - INFO - Iter [54450/80000] lr: 4.687e-06, eta: 1:23:24, time: 0.172, data_time: 0.006, memory: 52390, decode.loss_ce: 0.2144, decode.acc_seg: 91.3284, loss: 0.2144 +2023-03-04 23:39:30,538 - mmseg - INFO - Iter [54500/80000] lr: 4.687e-06, eta: 1:23:13, time: 0.176, data_time: 0.006, memory: 52390, decode.loss_ce: 0.2085, decode.acc_seg: 91.3911, loss: 0.2085 +2023-03-04 23:39:39,147 - mmseg - INFO - Iter [54550/80000] lr: 4.687e-06, eta: 1:23:03, time: 0.172, data_time: 0.007, memory: 52390, decode.loss_ce: 0.2141, decode.acc_seg: 91.3491, loss: 0.2141 +2023-03-04 23:39:48,755 - mmseg - INFO - Iter [54600/80000] lr: 4.687e-06, eta: 1:22:53, time: 0.192, data_time: 0.006, memory: 52390, decode.loss_ce: 0.2197, decode.acc_seg: 91.0489, loss: 0.2197 +2023-03-04 23:39:57,676 - mmseg - INFO - Iter [54650/80000] lr: 4.687e-06, eta: 1:22:43, time: 0.178, data_time: 0.007, memory: 52390, decode.loss_ce: 0.2111, decode.acc_seg: 91.4604, loss: 0.2111 +2023-03-04 23:40:08,996 - mmseg - INFO - Iter [54700/80000] lr: 4.687e-06, eta: 1:22:34, time: 0.226, data_time: 0.053, memory: 52390, decode.loss_ce: 0.2103, decode.acc_seg: 91.3374, loss: 0.2103 +2023-03-04 23:40:17,934 - mmseg - INFO - Iter [54750/80000] lr: 4.687e-06, eta: 1:22:24, time: 0.179, data_time: 0.006, memory: 52390, decode.loss_ce: 0.2109, decode.acc_seg: 91.4181, loss: 0.2109 +2023-03-04 23:40:26,813 - mmseg - INFO - Iter [54800/80000] lr: 4.687e-06, eta: 1:22:13, time: 0.177, data_time: 0.006, memory: 52390, decode.loss_ce: 0.2139, decode.acc_seg: 91.2383, loss: 0.2139 +2023-03-04 23:40:35,427 - mmseg - INFO - Iter [54850/80000] lr: 4.687e-06, eta: 1:22:03, time: 0.173, data_time: 0.006, memory: 52390, decode.loss_ce: 0.2090, decode.acc_seg: 91.3476, loss: 0.2090 +2023-03-04 23:40:44,390 - mmseg - INFO - Iter [54900/80000] lr: 4.687e-06, eta: 1:21:53, time: 0.179, data_time: 0.006, memory: 52390, decode.loss_ce: 0.2165, decode.acc_seg: 91.1648, loss: 0.2165 +2023-03-04 23:40:53,175 - mmseg - INFO - Iter [54950/80000] lr: 4.687e-06, eta: 1:21:42, time: 0.176, data_time: 0.007, memory: 52390, decode.loss_ce: 0.2007, decode.acc_seg: 91.7213, loss: 0.2007 +2023-03-04 23:41:01,875 - mmseg - INFO - Exp name: ablation_segformer_mit_b2_segformer_head_unet_fc_single_step_ade_pretrained_freeze_embed_80k_ade20k151_logits.py +2023-03-04 23:41:01,875 - mmseg - INFO - Iter [55000/80000] lr: 4.687e-06, eta: 1:21:32, time: 0.174, data_time: 0.006, memory: 52390, decode.loss_ce: 0.2130, decode.acc_seg: 91.4236, loss: 0.2130 +2023-03-04 23:41:10,517 - mmseg - INFO - Iter [55050/80000] lr: 4.687e-06, eta: 1:21:22, time: 0.173, data_time: 0.006, memory: 52390, decode.loss_ce: 0.2144, decode.acc_seg: 91.2798, loss: 0.2144 +2023-03-04 23:41:19,422 - mmseg - INFO - Iter [55100/80000] lr: 4.687e-06, eta: 1:21:11, time: 0.178, data_time: 0.006, memory: 52390, decode.loss_ce: 0.2075, decode.acc_seg: 91.5471, loss: 0.2075 +2023-03-04 23:41:28,115 - mmseg - INFO - Iter [55150/80000] lr: 4.687e-06, eta: 1:21:01, time: 0.174, data_time: 0.007, memory: 52390, decode.loss_ce: 0.2205, decode.acc_seg: 91.0060, loss: 0.2205 +2023-03-04 23:41:36,823 - mmseg - INFO - Iter [55200/80000] lr: 4.687e-06, eta: 1:20:51, time: 0.174, data_time: 0.006, memory: 52390, decode.loss_ce: 0.2093, decode.acc_seg: 91.4515, loss: 0.2093 +2023-03-04 23:41:45,563 - mmseg - INFO - Iter [55250/80000] lr: 4.687e-06, eta: 1:20:40, time: 0.175, data_time: 0.006, memory: 52390, decode.loss_ce: 0.2097, decode.acc_seg: 91.3620, loss: 0.2097 +2023-03-04 23:41:54,817 - mmseg - INFO - Iter [55300/80000] lr: 4.687e-06, eta: 1:20:30, time: 0.185, data_time: 0.007, memory: 52390, decode.loss_ce: 0.2168, decode.acc_seg: 91.1438, loss: 0.2168 +2023-03-04 23:42:06,027 - mmseg - INFO - Iter [55350/80000] lr: 4.687e-06, eta: 1:20:21, time: 0.224, data_time: 0.054, memory: 52390, decode.loss_ce: 0.2094, decode.acc_seg: 91.4722, loss: 0.2094 +2023-03-04 23:42:14,565 - mmseg - INFO - Iter [55400/80000] lr: 4.687e-06, eta: 1:20:11, time: 0.171, data_time: 0.006, memory: 52390, decode.loss_ce: 0.2094, decode.acc_seg: 91.4826, loss: 0.2094 +2023-03-04 23:42:23,952 - mmseg - INFO - Iter [55450/80000] lr: 4.687e-06, eta: 1:20:01, time: 0.188, data_time: 0.007, memory: 52390, decode.loss_ce: 0.2181, decode.acc_seg: 91.2196, loss: 0.2181 +2023-03-04 23:42:32,866 - mmseg - INFO - Iter [55500/80000] lr: 4.687e-06, eta: 1:19:51, time: 0.178, data_time: 0.007, memory: 52390, decode.loss_ce: 0.2057, decode.acc_seg: 91.5081, loss: 0.2057 +2023-03-04 23:42:41,896 - mmseg - INFO - Iter [55550/80000] lr: 4.687e-06, eta: 1:19:40, time: 0.180, data_time: 0.007, memory: 52390, decode.loss_ce: 0.2145, decode.acc_seg: 91.0811, loss: 0.2145 +2023-03-04 23:42:50,488 - mmseg - INFO - Iter [55600/80000] lr: 4.687e-06, eta: 1:19:30, time: 0.172, data_time: 0.007, memory: 52390, decode.loss_ce: 0.2083, decode.acc_seg: 91.4288, loss: 0.2083 +2023-03-04 23:42:59,737 - mmseg - INFO - Iter [55650/80000] lr: 4.687e-06, eta: 1:19:20, time: 0.185, data_time: 0.007, memory: 52390, decode.loss_ce: 0.2128, decode.acc_seg: 91.3183, loss: 0.2128 +2023-03-04 23:43:08,205 - mmseg - INFO - Iter [55700/80000] lr: 4.687e-06, eta: 1:19:10, time: 0.169, data_time: 0.006, memory: 52390, decode.loss_ce: 0.2151, decode.acc_seg: 91.0388, loss: 0.2151 +2023-03-04 23:43:16,779 - mmseg - INFO - Iter [55750/80000] lr: 4.687e-06, eta: 1:18:59, time: 0.171, data_time: 0.006, memory: 52390, decode.loss_ce: 0.2113, decode.acc_seg: 91.1988, loss: 0.2113 +2023-03-04 23:43:25,560 - mmseg - INFO - Iter [55800/80000] lr: 4.687e-06, eta: 1:18:49, time: 0.176, data_time: 0.006, memory: 52390, decode.loss_ce: 0.2172, decode.acc_seg: 91.2663, loss: 0.2172 +2023-03-04 23:43:34,655 - mmseg - INFO - Iter [55850/80000] lr: 4.687e-06, eta: 1:18:39, time: 0.182, data_time: 0.007, memory: 52390, decode.loss_ce: 0.2003, decode.acc_seg: 91.6497, loss: 0.2003 +2023-03-04 23:43:43,250 - mmseg - INFO - Iter [55900/80000] lr: 4.687e-06, eta: 1:18:28, time: 0.172, data_time: 0.006, memory: 52390, decode.loss_ce: 0.2055, decode.acc_seg: 91.6949, loss: 0.2055 +2023-03-04 23:43:51,769 - mmseg - INFO - Iter [55950/80000] lr: 4.687e-06, eta: 1:18:18, time: 0.170, data_time: 0.007, memory: 52390, decode.loss_ce: 0.2044, decode.acc_seg: 91.7155, loss: 0.2044 +2023-03-04 23:44:03,388 - mmseg - INFO - Saving checkpoint at 56000 iterations +2023-03-04 23:44:04,039 - mmseg - INFO - Exp name: ablation_segformer_mit_b2_segformer_head_unet_fc_single_step_ade_pretrained_freeze_embed_80k_ade20k151_logits.py +2023-03-04 23:44:04,039 - mmseg - INFO - Iter [56000/80000] lr: 4.687e-06, eta: 1:18:10, time: 0.245, data_time: 0.058, memory: 52390, decode.loss_ce: 0.2108, decode.acc_seg: 91.2908, loss: 0.2108 +2023-03-04 23:44:20,008 - mmseg - INFO - per class results: +2023-03-04 23:44:20,014 - mmseg - INFO - ++---------------------+-------+-------+ +| Class | IoU | Acc | ++---------------------+-------+-------+ +| background | nan | nan | +| wall | 76.35 | 89.55 | +| building | 81.31 | 91.04 | +| sky | 94.3 | 97.29 | +| floor | 81.16 | 90.73 | +| tree | 73.44 | 88.38 | +| ceiling | 84.63 | 91.91 | +| road | 81.89 | 90.91 | +| bed | 86.95 | 94.1 | +| windowpane | 59.71 | 77.1 | +| grass | 65.89 | 82.77 | +| cabinet | 59.94 | 73.91 | +| sidewalk | 63.89 | 77.54 | +| person | 77.78 | 92.15 | +| earth | 34.23 | 44.97 | +| door | 43.7 | 57.6 | +| table | 58.46 | 74.31 | +| mountain | 55.27 | 69.18 | +| plant | 49.26 | 60.82 | +| curtain | 73.21 | 84.1 | +| chair | 53.95 | 67.55 | +| car | 80.79 | 92.14 | +| water | 57.69 | 76.45 | +| painting | 69.76 | 83.94 | +| sofa | 63.32 | 79.56 | +| shelf | 42.24 | 60.39 | +| house | 43.26 | 60.0 | +| sea | 60.99 | 77.11 | +| mirror | 61.41 | 68.05 | +| rug | 64.55 | 73.37 | +| field | 29.47 | 45.14 | +| armchair | 36.13 | 52.67 | +| seat | 65.89 | 81.3 | +| fence | 40.37 | 53.23 | +| desk | 45.64 | 65.56 | +| rock | 37.28 | 61.67 | +| wardrobe | 56.14 | 65.62 | +| lamp | 58.68 | 72.33 | +| bathtub | 75.72 | 81.82 | +| railing | 33.19 | 46.68 | +| cushion | 55.1 | 70.06 | +| base | 23.01 | 28.4 | +| box | 22.34 | 30.83 | +| column | 45.4 | 57.76 | +| signboard | 36.68 | 50.8 | +| chest of drawers | 36.18 | 56.43 | +| counter | 31.51 | 40.88 | +| sand | 44.63 | 63.26 | +| sink | 64.6 | 77.65 | +| skyscraper | 50.91 | 63.47 | +| fireplace | 72.88 | 85.12 | +| refrigerator | 71.38 | 82.64 | +| grandstand | 47.8 | 62.2 | +| path | 23.82 | 34.35 | +| stairs | 33.15 | 42.75 | +| runway | 67.9 | 87.98 | +| case | 46.35 | 52.9 | +| pool table | 91.39 | 94.54 | +| pillow | 59.74 | 70.72 | +| screen door | 64.11 | 69.89 | +| stairway | 23.25 | 35.9 | +| river | 11.46 | 20.76 | +| bridge | 34.29 | 40.32 | +| bookcase | 43.49 | 61.38 | +| blind | 41.37 | 46.26 | +| coffee table | 52.76 | 77.28 | +| toilet | 81.94 | 89.32 | +| flower | 37.49 | 51.9 | +| book | 42.97 | 63.73 | +| hill | 13.79 | 21.02 | +| bench | 40.41 | 53.52 | +| countertop | 52.74 | 67.5 | +| stove | 69.28 | 80.78 | +| palm | 49.4 | 70.22 | +| kitchen island | 37.69 | 60.36 | +| computer | 59.79 | 69.76 | +| swivel chair | 42.84 | 58.62 | +| boat | 69.14 | 81.25 | +| bar | 22.11 | 29.8 | +| arcade machine | 67.88 | 69.58 | +| hovel | 25.6 | 28.62 | +| bus | 78.61 | 89.92 | +| towel | 62.0 | 72.58 | +| light | 49.75 | 56.7 | +| truck | 15.78 | 21.34 | +| tower | 8.25 | 13.17 | +| chandelier | 62.12 | 75.49 | +| awning | 23.62 | 27.25 | +| streetlight | 23.62 | 30.74 | +| booth | 39.01 | 40.12 | +| television receiver | 64.19 | 75.13 | +| airplane | 57.31 | 63.06 | +| dirt track | 16.46 | 52.89 | +| apparel | 33.22 | 54.39 | +| pole | 17.77 | 23.02 | +| land | 3.39 | 4.85 | +| bannister | 10.36 | 13.8 | +| escalator | 22.51 | 24.12 | +| ottoman | 40.97 | 61.75 | +| bottle | 33.86 | 54.27 | +| buffet | 37.02 | 41.85 | +| poster | 22.93 | 31.77 | +| stage | 13.39 | 16.86 | +| van | 38.11 | 53.5 | +| ship | 75.09 | 94.97 | +| fountain | 13.71 | 14.1 | +| conveyer belt | 81.37 | 89.02 | +| canopy | 24.64 | 26.33 | +| washer | 77.3 | 79.39 | +| plaything | 20.53 | 28.72 | +| swimming pool | 74.8 | 80.88 | +| stool | 40.61 | 54.02 | +| barrel | 38.88 | 54.24 | +| basket | 24.45 | 35.99 | +| waterfall | 50.8 | 67.45 | +| tent | 94.05 | 97.4 | +| bag | 14.59 | 17.87 | +| minibike | 60.63 | 73.91 | +| cradle | 82.81 | 96.01 | +| oven | 47.97 | 63.23 | +| ball | 43.27 | 51.04 | +| food | 47.84 | 55.96 | +| step | 5.67 | 6.34 | +| tank | 50.37 | 54.73 | +| trade name | 24.08 | 26.96 | +| microwave | 75.19 | 81.38 | +| pot | 29.84 | 33.81 | +| animal | 51.8 | 57.65 | +| bicycle | 52.51 | 67.58 | +| lake | 57.3 | 63.28 | +| dishwasher | 64.74 | 76.35 | +| screen | 66.88 | 82.14 | +| blanket | 15.1 | 17.94 | +| sculpture | 56.82 | 77.9 | +| hood | 53.67 | 58.18 | +| sconce | 40.77 | 48.32 | +| vase | 31.14 | 48.57 | +| traffic light | 30.61 | 46.37 | +| tray | 4.76 | 7.47 | +| ashcan | 39.34 | 52.52 | +| fan | 56.27 | 64.55 | +| pier | 49.97 | 68.38 | +| crt screen | 8.92 | 22.42 | +| plate | 47.51 | 62.47 | +| monitor | 16.38 | 19.71 | +| bulletin board | 39.62 | 53.7 | +| shower | 1.15 | 4.42 | +| radiator | 56.68 | 63.54 | +| glass | 9.65 | 10.29 | +| clock | 31.74 | 34.99 | +| flag | 35.83 | 40.33 | ++---------------------+-------+-------+ +2023-03-04 23:44:20,014 - mmseg - INFO - Summary: +2023-03-04 23:44:20,014 - mmseg - INFO - ++-------+-------+-------+ +| aAcc | mIoU | mAcc | ++-------+-------+-------+ +| 82.23 | 47.19 | 58.17 | ++-------+-------+-------+ +2023-03-04 23:44:20,036 - mmseg - INFO - The previous best checkpoint /mnt/petrelfs/laizeqiang/mmseg-baseline/work_dirs2/ablation_segformer_mit_b2_segformer_head_unet_fc_single_step_ade_pretrained_freeze_embed_80k_ade20k151_logits/best_mIoU_iter_48000.pth was removed +2023-03-04 23:44:20,596 - mmseg - INFO - Now best checkpoint is saved as best_mIoU_iter_56000.pth. +2023-03-04 23:44:20,597 - mmseg - INFO - Best mIoU is 0.4719 at 56000 iter. +2023-03-04 23:44:20,597 - mmseg - INFO - Exp name: ablation_segformer_mit_b2_segformer_head_unet_fc_single_step_ade_pretrained_freeze_embed_80k_ade20k151_logits.py +2023-03-04 23:44:20,597 - mmseg - INFO - Iter(val) [250] aAcc: 0.8223, mIoU: 0.4719, mAcc: 0.5817, IoU.background: nan, IoU.wall: 0.7635, IoU.building: 0.8131, IoU.sky: 0.9430, IoU.floor: 0.8116, IoU.tree: 0.7344, IoU.ceiling: 0.8463, IoU.road: 0.8189, IoU.bed : 0.8695, IoU.windowpane: 0.5971, IoU.grass: 0.6589, IoU.cabinet: 0.5994, IoU.sidewalk: 0.6389, IoU.person: 0.7778, IoU.earth: 0.3423, IoU.door: 0.4370, IoU.table: 0.5846, IoU.mountain: 0.5527, IoU.plant: 0.4926, IoU.curtain: 0.7321, IoU.chair: 0.5395, IoU.car: 0.8079, IoU.water: 0.5769, IoU.painting: 0.6976, IoU.sofa: 0.6332, IoU.shelf: 0.4224, IoU.house: 0.4326, IoU.sea: 0.6099, IoU.mirror: 0.6141, IoU.rug: 0.6455, IoU.field: 0.2947, IoU.armchair: 0.3613, IoU.seat: 0.6589, IoU.fence: 0.4037, IoU.desk: 0.4564, IoU.rock: 0.3728, IoU.wardrobe: 0.5614, IoU.lamp: 0.5868, IoU.bathtub: 0.7572, IoU.railing: 0.3319, IoU.cushion: 0.5510, IoU.base: 0.2301, IoU.box: 0.2234, IoU.column: 0.4540, IoU.signboard: 0.3668, IoU.chest of drawers: 0.3618, IoU.counter: 0.3151, IoU.sand: 0.4463, IoU.sink: 0.6460, IoU.skyscraper: 0.5091, IoU.fireplace: 0.7288, IoU.refrigerator: 0.7138, IoU.grandstand: 0.4780, IoU.path: 0.2382, IoU.stairs: 0.3315, IoU.runway: 0.6790, IoU.case: 0.4635, IoU.pool table: 0.9139, IoU.pillow: 0.5974, IoU.screen door: 0.6411, IoU.stairway: 0.2325, IoU.river: 0.1146, IoU.bridge: 0.3429, IoU.bookcase: 0.4349, IoU.blind: 0.4137, IoU.coffee table: 0.5276, IoU.toilet: 0.8194, IoU.flower: 0.3749, IoU.book: 0.4297, IoU.hill: 0.1379, IoU.bench: 0.4041, IoU.countertop: 0.5274, IoU.stove: 0.6928, IoU.palm: 0.4940, IoU.kitchen island: 0.3769, IoU.computer: 0.5979, IoU.swivel chair: 0.4284, IoU.boat: 0.6914, IoU.bar: 0.2211, IoU.arcade machine: 0.6788, IoU.hovel: 0.2560, IoU.bus: 0.7861, IoU.towel: 0.6200, IoU.light: 0.4975, IoU.truck: 0.1578, IoU.tower: 0.0825, IoU.chandelier: 0.6212, IoU.awning: 0.2362, IoU.streetlight: 0.2362, IoU.booth: 0.3901, IoU.television receiver: 0.6419, IoU.airplane: 0.5731, IoU.dirt track: 0.1646, IoU.apparel: 0.3322, IoU.pole: 0.1777, IoU.land: 0.0339, IoU.bannister: 0.1036, IoU.escalator: 0.2251, IoU.ottoman: 0.4097, IoU.bottle: 0.3386, IoU.buffet: 0.3702, IoU.poster: 0.2293, IoU.stage: 0.1339, IoU.van: 0.3811, IoU.ship: 0.7509, IoU.fountain: 0.1371, IoU.conveyer belt: 0.8137, IoU.canopy: 0.2464, IoU.washer: 0.7730, IoU.plaything: 0.2053, IoU.swimming pool: 0.7480, IoU.stool: 0.4061, IoU.barrel: 0.3888, IoU.basket: 0.2445, IoU.waterfall: 0.5080, IoU.tent: 0.9405, IoU.bag: 0.1459, IoU.minibike: 0.6063, IoU.cradle: 0.8281, IoU.oven: 0.4797, IoU.ball: 0.4327, IoU.food: 0.4784, IoU.step: 0.0567, IoU.tank: 0.5037, IoU.trade name: 0.2408, IoU.microwave: 0.7519, IoU.pot: 0.2984, IoU.animal: 0.5180, IoU.bicycle: 0.5251, IoU.lake: 0.5730, IoU.dishwasher: 0.6474, IoU.screen: 0.6688, IoU.blanket: 0.1510, IoU.sculpture: 0.5682, IoU.hood: 0.5367, IoU.sconce: 0.4077, IoU.vase: 0.3114, IoU.traffic light: 0.3061, IoU.tray: 0.0476, IoU.ashcan: 0.3934, IoU.fan: 0.5627, IoU.pier: 0.4997, IoU.crt screen: 0.0892, IoU.plate: 0.4751, IoU.monitor: 0.1638, IoU.bulletin board: 0.3962, IoU.shower: 0.0115, IoU.radiator: 0.5668, IoU.glass: 0.0965, IoU.clock: 0.3174, IoU.flag: 0.3583, Acc.background: nan, Acc.wall: 0.8955, Acc.building: 0.9104, Acc.sky: 0.9729, Acc.floor: 0.9073, Acc.tree: 0.8838, Acc.ceiling: 0.9191, Acc.road: 0.9091, Acc.bed : 0.9410, Acc.windowpane: 0.7710, Acc.grass: 0.8277, Acc.cabinet: 0.7391, Acc.sidewalk: 0.7754, Acc.person: 0.9215, Acc.earth: 0.4497, Acc.door: 0.5760, Acc.table: 0.7431, Acc.mountain: 0.6918, Acc.plant: 0.6082, Acc.curtain: 0.8410, Acc.chair: 0.6755, Acc.car: 0.9214, Acc.water: 0.7645, Acc.painting: 0.8394, Acc.sofa: 0.7956, Acc.shelf: 0.6039, Acc.house: 0.6000, Acc.sea: 0.7711, Acc.mirror: 0.6805, Acc.rug: 0.7337, Acc.field: 0.4514, Acc.armchair: 0.5267, Acc.seat: 0.8130, Acc.fence: 0.5323, Acc.desk: 0.6556, Acc.rock: 0.6167, Acc.wardrobe: 0.6562, Acc.lamp: 0.7233, Acc.bathtub: 0.8182, Acc.railing: 0.4668, Acc.cushion: 0.7006, Acc.base: 0.2840, Acc.box: 0.3083, Acc.column: 0.5776, Acc.signboard: 0.5080, Acc.chest of drawers: 0.5643, Acc.counter: 0.4088, Acc.sand: 0.6326, Acc.sink: 0.7765, Acc.skyscraper: 0.6347, Acc.fireplace: 0.8512, Acc.refrigerator: 0.8264, Acc.grandstand: 0.6220, Acc.path: 0.3435, Acc.stairs: 0.4275, Acc.runway: 0.8798, Acc.case: 0.5290, Acc.pool table: 0.9454, Acc.pillow: 0.7072, Acc.screen door: 0.6989, Acc.stairway: 0.3590, Acc.river: 0.2076, Acc.bridge: 0.4032, Acc.bookcase: 0.6138, Acc.blind: 0.4626, Acc.coffee table: 0.7728, Acc.toilet: 0.8932, Acc.flower: 0.5190, Acc.book: 0.6373, Acc.hill: 0.2102, Acc.bench: 0.5352, Acc.countertop: 0.6750, Acc.stove: 0.8078, Acc.palm: 0.7022, Acc.kitchen island: 0.6036, Acc.computer: 0.6976, Acc.swivel chair: 0.5862, Acc.boat: 0.8125, Acc.bar: 0.2980, Acc.arcade machine: 0.6958, Acc.hovel: 0.2862, Acc.bus: 0.8992, Acc.towel: 0.7258, Acc.light: 0.5670, Acc.truck: 0.2134, Acc.tower: 0.1317, Acc.chandelier: 0.7549, Acc.awning: 0.2725, Acc.streetlight: 0.3074, Acc.booth: 0.4012, Acc.television receiver: 0.7513, Acc.airplane: 0.6306, Acc.dirt track: 0.5289, Acc.apparel: 0.5439, Acc.pole: 0.2302, Acc.land: 0.0485, Acc.bannister: 0.1380, Acc.escalator: 0.2412, Acc.ottoman: 0.6175, Acc.bottle: 0.5427, Acc.buffet: 0.4185, Acc.poster: 0.3177, Acc.stage: 0.1686, Acc.van: 0.5350, Acc.ship: 0.9497, Acc.fountain: 0.1410, Acc.conveyer belt: 0.8902, Acc.canopy: 0.2633, Acc.washer: 0.7939, Acc.plaything: 0.2872, Acc.swimming pool: 0.8088, Acc.stool: 0.5402, Acc.barrel: 0.5424, Acc.basket: 0.3599, Acc.waterfall: 0.6745, Acc.tent: 0.9740, Acc.bag: 0.1787, Acc.minibike: 0.7391, Acc.cradle: 0.9601, Acc.oven: 0.6323, Acc.ball: 0.5104, Acc.food: 0.5596, Acc.step: 0.0634, Acc.tank: 0.5473, Acc.trade name: 0.2696, Acc.microwave: 0.8138, Acc.pot: 0.3381, Acc.animal: 0.5765, Acc.bicycle: 0.6758, Acc.lake: 0.6328, Acc.dishwasher: 0.7635, Acc.screen: 0.8214, Acc.blanket: 0.1794, Acc.sculpture: 0.7790, Acc.hood: 0.5818, Acc.sconce: 0.4832, Acc.vase: 0.4857, Acc.traffic light: 0.4637, Acc.tray: 0.0747, Acc.ashcan: 0.5252, Acc.fan: 0.6455, Acc.pier: 0.6838, Acc.crt screen: 0.2242, Acc.plate: 0.6247, Acc.monitor: 0.1971, Acc.bulletin board: 0.5370, Acc.shower: 0.0442, Acc.radiator: 0.6354, Acc.glass: 0.1029, Acc.clock: 0.3499, Acc.flag: 0.4033 +2023-03-04 23:44:29,855 - mmseg - INFO - Iter [56050/80000] lr: 4.687e-06, eta: 1:18:08, time: 0.516, data_time: 0.338, memory: 52390, decode.loss_ce: 0.2099, decode.acc_seg: 91.4588, loss: 0.2099 +2023-03-04 23:44:39,198 - mmseg - INFO - Iter [56100/80000] lr: 4.687e-06, eta: 1:17:58, time: 0.187, data_time: 0.007, memory: 52390, decode.loss_ce: 0.2106, decode.acc_seg: 91.4796, loss: 0.2106 +2023-03-04 23:44:47,971 - mmseg - INFO - Iter [56150/80000] lr: 4.687e-06, eta: 1:17:47, time: 0.175, data_time: 0.006, memory: 52390, decode.loss_ce: 0.2127, decode.acc_seg: 91.4413, loss: 0.2127 +2023-03-04 23:44:57,096 - mmseg - INFO - Iter [56200/80000] lr: 4.687e-06, eta: 1:17:37, time: 0.183, data_time: 0.007, memory: 52390, decode.loss_ce: 0.2055, decode.acc_seg: 91.4171, loss: 0.2055 +2023-03-04 23:45:05,685 - mmseg - INFO - Iter [56250/80000] lr: 4.687e-06, eta: 1:17:27, time: 0.172, data_time: 0.007, memory: 52390, decode.loss_ce: 0.2163, decode.acc_seg: 91.1621, loss: 0.2163 +2023-03-04 23:45:14,223 - mmseg - INFO - Iter [56300/80000] lr: 4.687e-06, eta: 1:17:17, time: 0.171, data_time: 0.007, memory: 52390, decode.loss_ce: 0.2139, decode.acc_seg: 91.2481, loss: 0.2139 +2023-03-04 23:45:23,676 - mmseg - INFO - Iter [56350/80000] lr: 4.687e-06, eta: 1:17:07, time: 0.189, data_time: 0.006, memory: 52390, decode.loss_ce: 0.2090, decode.acc_seg: 91.6371, loss: 0.2090 +2023-03-04 23:45:32,458 - mmseg - INFO - Iter [56400/80000] lr: 4.687e-06, eta: 1:16:56, time: 0.176, data_time: 0.007, memory: 52390, decode.loss_ce: 0.2053, decode.acc_seg: 91.4824, loss: 0.2053 +2023-03-04 23:45:41,184 - mmseg - INFO - Iter [56450/80000] lr: 4.687e-06, eta: 1:16:46, time: 0.175, data_time: 0.007, memory: 52390, decode.loss_ce: 0.2086, decode.acc_seg: 91.4639, loss: 0.2086 +2023-03-04 23:45:49,837 - mmseg - INFO - Iter [56500/80000] lr: 4.687e-06, eta: 1:16:36, time: 0.173, data_time: 0.007, memory: 52390, decode.loss_ce: 0.2048, decode.acc_seg: 91.5848, loss: 0.2048 +2023-03-04 23:45:58,484 - mmseg - INFO - Iter [56550/80000] lr: 4.687e-06, eta: 1:16:25, time: 0.173, data_time: 0.007, memory: 52390, decode.loss_ce: 0.2224, decode.acc_seg: 90.9787, loss: 0.2224 +2023-03-04 23:46:10,112 - mmseg - INFO - Iter [56600/80000] lr: 4.687e-06, eta: 1:16:17, time: 0.233, data_time: 0.053, memory: 52390, decode.loss_ce: 0.2098, decode.acc_seg: 91.4639, loss: 0.2098 +2023-03-04 23:46:19,120 - mmseg - INFO - Iter [56650/80000] lr: 4.687e-06, eta: 1:16:06, time: 0.180, data_time: 0.006, memory: 52390, decode.loss_ce: 0.2108, decode.acc_seg: 91.4597, loss: 0.2108 +2023-03-04 23:46:28,329 - mmseg - INFO - Iter [56700/80000] lr: 4.687e-06, eta: 1:15:56, time: 0.184, data_time: 0.006, memory: 52390, decode.loss_ce: 0.2142, decode.acc_seg: 91.2485, loss: 0.2142 +2023-03-04 23:46:37,276 - mmseg - INFO - Iter [56750/80000] lr: 4.687e-06, eta: 1:15:46, time: 0.179, data_time: 0.007, memory: 52390, decode.loss_ce: 0.2159, decode.acc_seg: 91.0422, loss: 0.2159 +2023-03-04 23:46:46,211 - mmseg - INFO - Iter [56800/80000] lr: 4.687e-06, eta: 1:15:36, time: 0.179, data_time: 0.006, memory: 52390, decode.loss_ce: 0.2178, decode.acc_seg: 91.2481, loss: 0.2178 +2023-03-04 23:46:55,565 - mmseg - INFO - Iter [56850/80000] lr: 4.687e-06, eta: 1:15:26, time: 0.187, data_time: 0.006, memory: 52390, decode.loss_ce: 0.2201, decode.acc_seg: 91.2814, loss: 0.2201 +2023-03-04 23:47:04,427 - mmseg - INFO - Iter [56900/80000] lr: 4.687e-06, eta: 1:15:16, time: 0.177, data_time: 0.006, memory: 52390, decode.loss_ce: 0.2095, decode.acc_seg: 91.6137, loss: 0.2095 +2023-03-04 23:47:13,334 - mmseg - INFO - Iter [56950/80000] lr: 4.687e-06, eta: 1:15:06, time: 0.178, data_time: 0.006, memory: 52390, decode.loss_ce: 0.2121, decode.acc_seg: 91.2280, loss: 0.2121 +2023-03-04 23:47:22,264 - mmseg - INFO - Exp name: ablation_segformer_mit_b2_segformer_head_unet_fc_single_step_ade_pretrained_freeze_embed_80k_ade20k151_logits.py +2023-03-04 23:47:22,264 - mmseg - INFO - Iter [57000/80000] lr: 4.687e-06, eta: 1:14:55, time: 0.178, data_time: 0.006, memory: 52390, decode.loss_ce: 0.2134, decode.acc_seg: 91.2457, loss: 0.2134 +2023-03-04 23:47:31,361 - mmseg - INFO - Iter [57050/80000] lr: 4.687e-06, eta: 1:14:45, time: 0.182, data_time: 0.007, memory: 52390, decode.loss_ce: 0.2067, decode.acc_seg: 91.4778, loss: 0.2067 +2023-03-04 23:47:40,384 - mmseg - INFO - Iter [57100/80000] lr: 4.687e-06, eta: 1:14:35, time: 0.180, data_time: 0.006, memory: 52390, decode.loss_ce: 0.2092, decode.acc_seg: 91.4709, loss: 0.2092 +2023-03-04 23:47:49,038 - mmseg - INFO - Iter [57150/80000] lr: 4.687e-06, eta: 1:14:25, time: 0.173, data_time: 0.007, memory: 52390, decode.loss_ce: 0.2029, decode.acc_seg: 91.5967, loss: 0.2029 +2023-03-04 23:47:58,206 - mmseg - INFO - Iter [57200/80000] lr: 4.687e-06, eta: 1:14:15, time: 0.183, data_time: 0.007, memory: 52390, decode.loss_ce: 0.2071, decode.acc_seg: 91.4996, loss: 0.2071 +2023-03-04 23:48:09,744 - mmseg - INFO - Iter [57250/80000] lr: 4.687e-06, eta: 1:14:06, time: 0.231, data_time: 0.055, memory: 52390, decode.loss_ce: 0.2073, decode.acc_seg: 91.4399, loss: 0.2073 +2023-03-04 23:48:18,647 - mmseg - INFO - Iter [57300/80000] lr: 4.687e-06, eta: 1:13:56, time: 0.178, data_time: 0.006, memory: 52390, decode.loss_ce: 0.2022, decode.acc_seg: 91.7299, loss: 0.2022 +2023-03-04 23:48:27,805 - mmseg - INFO - Iter [57350/80000] lr: 4.687e-06, eta: 1:13:46, time: 0.183, data_time: 0.006, memory: 52390, decode.loss_ce: 0.2135, decode.acc_seg: 91.2607, loss: 0.2135 +2023-03-04 23:48:36,656 - mmseg - INFO - Iter [57400/80000] lr: 4.687e-06, eta: 1:13:35, time: 0.177, data_time: 0.006, memory: 52390, decode.loss_ce: 0.2101, decode.acc_seg: 91.3870, loss: 0.2101 +2023-03-04 23:48:45,200 - mmseg - INFO - Iter [57450/80000] lr: 4.687e-06, eta: 1:13:25, time: 0.171, data_time: 0.006, memory: 52390, decode.loss_ce: 0.2108, decode.acc_seg: 91.2275, loss: 0.2108 +2023-03-04 23:48:54,151 - mmseg - INFO - Iter [57500/80000] lr: 4.687e-06, eta: 1:13:15, time: 0.179, data_time: 0.007, memory: 52390, decode.loss_ce: 0.2106, decode.acc_seg: 91.3190, loss: 0.2106 +2023-03-04 23:49:03,176 - mmseg - INFO - Iter [57550/80000] lr: 4.687e-06, eta: 1:13:05, time: 0.181, data_time: 0.006, memory: 52390, decode.loss_ce: 0.2089, decode.acc_seg: 91.3835, loss: 0.2089 +2023-03-04 23:49:11,964 - mmseg - INFO - Iter [57600/80000] lr: 4.687e-06, eta: 1:12:55, time: 0.176, data_time: 0.007, memory: 52390, decode.loss_ce: 0.2190, decode.acc_seg: 91.1027, loss: 0.2190 +2023-03-04 23:49:20,924 - mmseg - INFO - Iter [57650/80000] lr: 4.687e-06, eta: 1:12:45, time: 0.179, data_time: 0.006, memory: 52390, decode.loss_ce: 0.2118, decode.acc_seg: 91.4081, loss: 0.2118 +2023-03-04 23:49:29,927 - mmseg - INFO - Iter [57700/80000] lr: 4.687e-06, eta: 1:12:34, time: 0.180, data_time: 0.007, memory: 52390, decode.loss_ce: 0.2051, decode.acc_seg: 91.7027, loss: 0.2051 +2023-03-04 23:49:38,828 - mmseg - INFO - Iter [57750/80000] lr: 4.687e-06, eta: 1:12:24, time: 0.178, data_time: 0.006, memory: 52390, decode.loss_ce: 0.2171, decode.acc_seg: 91.2009, loss: 0.2171 +2023-03-04 23:49:47,550 - mmseg - INFO - Iter [57800/80000] lr: 4.687e-06, eta: 1:12:14, time: 0.174, data_time: 0.006, memory: 52390, decode.loss_ce: 0.2133, decode.acc_seg: 91.1696, loss: 0.2133 +2023-03-04 23:49:58,940 - mmseg - INFO - Iter [57850/80000] lr: 4.687e-06, eta: 1:12:05, time: 0.228, data_time: 0.057, memory: 52390, decode.loss_ce: 0.2059, decode.acc_seg: 91.5202, loss: 0.2059 +2023-03-04 23:50:07,684 - mmseg - INFO - Iter [57900/80000] lr: 4.687e-06, eta: 1:11:55, time: 0.175, data_time: 0.006, memory: 52390, decode.loss_ce: 0.1985, decode.acc_seg: 91.7814, loss: 0.1985 +2023-03-04 23:50:16,550 - mmseg - INFO - Iter [57950/80000] lr: 4.687e-06, eta: 1:11:45, time: 0.177, data_time: 0.006, memory: 52390, decode.loss_ce: 0.2219, decode.acc_seg: 90.9666, loss: 0.2219 +2023-03-04 23:50:25,416 - mmseg - INFO - Exp name: ablation_segformer_mit_b2_segformer_head_unet_fc_single_step_ade_pretrained_freeze_embed_80k_ade20k151_logits.py +2023-03-04 23:50:25,416 - mmseg - INFO - Iter [58000/80000] lr: 4.687e-06, eta: 1:11:35, time: 0.177, data_time: 0.006, memory: 52390, decode.loss_ce: 0.2183, decode.acc_seg: 91.2614, loss: 0.2183 +2023-03-04 23:50:33,989 - mmseg - INFO - Iter [58050/80000] lr: 4.687e-06, eta: 1:11:24, time: 0.171, data_time: 0.007, memory: 52390, decode.loss_ce: 0.2075, decode.acc_seg: 91.3363, loss: 0.2075 +2023-03-04 23:50:43,401 - mmseg - INFO - Iter [58100/80000] lr: 4.687e-06, eta: 1:11:14, time: 0.188, data_time: 0.006, memory: 52390, decode.loss_ce: 0.2207, decode.acc_seg: 91.1484, loss: 0.2207 +2023-03-04 23:50:52,154 - mmseg - INFO - Iter [58150/80000] lr: 4.687e-06, eta: 1:11:04, time: 0.175, data_time: 0.006, memory: 52390, decode.loss_ce: 0.2119, decode.acc_seg: 91.3870, loss: 0.2119 +2023-03-04 23:51:00,829 - mmseg - INFO - Iter [58200/80000] lr: 4.687e-06, eta: 1:10:54, time: 0.173, data_time: 0.007, memory: 52390, decode.loss_ce: 0.2042, decode.acc_seg: 91.7324, loss: 0.2042 +2023-03-04 23:51:09,481 - mmseg - INFO - Iter [58250/80000] lr: 4.687e-06, eta: 1:10:44, time: 0.173, data_time: 0.006, memory: 52390, decode.loss_ce: 0.2072, decode.acc_seg: 91.6765, loss: 0.2072 +2023-03-04 23:51:18,554 - mmseg - INFO - Iter [58300/80000] lr: 4.687e-06, eta: 1:10:34, time: 0.181, data_time: 0.006, memory: 52390, decode.loss_ce: 0.2126, decode.acc_seg: 91.1569, loss: 0.2126 +2023-03-04 23:51:27,148 - mmseg - INFO - Iter [58350/80000] lr: 4.687e-06, eta: 1:10:23, time: 0.172, data_time: 0.007, memory: 52390, decode.loss_ce: 0.2029, decode.acc_seg: 91.4310, loss: 0.2029 +2023-03-04 23:51:35,959 - mmseg - INFO - Iter [58400/80000] lr: 4.687e-06, eta: 1:10:13, time: 0.176, data_time: 0.006, memory: 52390, decode.loss_ce: 0.2016, decode.acc_seg: 91.7035, loss: 0.2016 +2023-03-04 23:51:44,621 - mmseg - INFO - Iter [58450/80000] lr: 4.687e-06, eta: 1:10:03, time: 0.173, data_time: 0.007, memory: 52390, decode.loss_ce: 0.2067, decode.acc_seg: 91.4871, loss: 0.2067 +2023-03-04 23:51:55,887 - mmseg - INFO - Iter [58500/80000] lr: 4.687e-06, eta: 1:09:54, time: 0.225, data_time: 0.056, memory: 52390, decode.loss_ce: 0.2035, decode.acc_seg: 91.7160, loss: 0.2035 +2023-03-04 23:52:04,629 - mmseg - INFO - Iter [58550/80000] lr: 4.687e-06, eta: 1:09:44, time: 0.175, data_time: 0.006, memory: 52390, decode.loss_ce: 0.2166, decode.acc_seg: 91.2468, loss: 0.2166 +2023-03-04 23:52:13,288 - mmseg - INFO - Iter [58600/80000] lr: 4.687e-06, eta: 1:09:33, time: 0.173, data_time: 0.006, memory: 52390, decode.loss_ce: 0.2062, decode.acc_seg: 91.4892, loss: 0.2062 +2023-03-04 23:52:22,533 - mmseg - INFO - Iter [58650/80000] lr: 4.687e-06, eta: 1:09:23, time: 0.185, data_time: 0.007, memory: 52390, decode.loss_ce: 0.2055, decode.acc_seg: 91.5980, loss: 0.2055 +2023-03-04 23:52:31,122 - mmseg - INFO - Iter [58700/80000] lr: 4.687e-06, eta: 1:09:13, time: 0.172, data_time: 0.006, memory: 52390, decode.loss_ce: 0.2107, decode.acc_seg: 91.3816, loss: 0.2107 +2023-03-04 23:52:40,108 - mmseg - INFO - Iter [58750/80000] lr: 4.687e-06, eta: 1:09:03, time: 0.180, data_time: 0.006, memory: 52390, decode.loss_ce: 0.2146, decode.acc_seg: 91.1631, loss: 0.2146 +2023-03-04 23:52:48,587 - mmseg - INFO - Iter [58800/80000] lr: 4.687e-06, eta: 1:08:53, time: 0.170, data_time: 0.006, memory: 52390, decode.loss_ce: 0.1999, decode.acc_seg: 91.7900, loss: 0.1999 +2023-03-04 23:52:57,946 - mmseg - INFO - Iter [58850/80000] lr: 4.687e-06, eta: 1:08:43, time: 0.187, data_time: 0.006, memory: 52390, decode.loss_ce: 0.2222, decode.acc_seg: 91.0294, loss: 0.2222 +2023-03-04 23:53:06,474 - mmseg - INFO - Iter [58900/80000] lr: 4.687e-06, eta: 1:08:33, time: 0.171, data_time: 0.006, memory: 52390, decode.loss_ce: 0.2195, decode.acc_seg: 91.1135, loss: 0.2195 +2023-03-04 23:53:15,316 - mmseg - INFO - Iter [58950/80000] lr: 4.687e-06, eta: 1:08:23, time: 0.177, data_time: 0.006, memory: 52390, decode.loss_ce: 0.2168, decode.acc_seg: 91.2355, loss: 0.2168 +2023-03-04 23:53:24,342 - mmseg - INFO - Exp name: ablation_segformer_mit_b2_segformer_head_unet_fc_single_step_ade_pretrained_freeze_embed_80k_ade20k151_logits.py +2023-03-04 23:53:24,342 - mmseg - INFO - Iter [59000/80000] lr: 4.687e-06, eta: 1:08:13, time: 0.181, data_time: 0.007, memory: 52390, decode.loss_ce: 0.2120, decode.acc_seg: 91.3452, loss: 0.2120 +2023-03-04 23:53:33,646 - mmseg - INFO - Iter [59050/80000] lr: 4.687e-06, eta: 1:08:03, time: 0.186, data_time: 0.006, memory: 52390, decode.loss_ce: 0.2186, decode.acc_seg: 91.1835, loss: 0.2186 +2023-03-04 23:53:42,429 - mmseg - INFO - Iter [59100/80000] lr: 4.687e-06, eta: 1:07:53, time: 0.176, data_time: 0.007, memory: 52390, decode.loss_ce: 0.2104, decode.acc_seg: 91.4580, loss: 0.2104 +2023-03-04 23:53:54,216 - mmseg - INFO - Iter [59150/80000] lr: 4.687e-06, eta: 1:07:44, time: 0.235, data_time: 0.053, memory: 52390, decode.loss_ce: 0.2170, decode.acc_seg: 91.1469, loss: 0.2170 +2023-03-04 23:54:02,946 - mmseg - INFO - Iter [59200/80000] lr: 4.687e-06, eta: 1:07:33, time: 0.175, data_time: 0.007, memory: 52390, decode.loss_ce: 0.1995, decode.acc_seg: 91.7477, loss: 0.1995 +2023-03-04 23:54:11,555 - mmseg - INFO - Iter [59250/80000] lr: 4.687e-06, eta: 1:07:23, time: 0.172, data_time: 0.006, memory: 52390, decode.loss_ce: 0.2101, decode.acc_seg: 91.3010, loss: 0.2101 +2023-03-04 23:54:20,266 - mmseg - INFO - Iter [59300/80000] lr: 4.687e-06, eta: 1:07:13, time: 0.174, data_time: 0.006, memory: 52390, decode.loss_ce: 0.2106, decode.acc_seg: 91.3119, loss: 0.2106 +2023-03-04 23:54:29,157 - mmseg - INFO - Iter [59350/80000] lr: 4.687e-06, eta: 1:07:03, time: 0.178, data_time: 0.007, memory: 52390, decode.loss_ce: 0.2090, decode.acc_seg: 91.4624, loss: 0.2090 +2023-03-04 23:54:37,885 - mmseg - INFO - Iter [59400/80000] lr: 4.687e-06, eta: 1:06:53, time: 0.175, data_time: 0.007, memory: 52390, decode.loss_ce: 0.2048, decode.acc_seg: 91.5652, loss: 0.2048 +2023-03-04 23:54:46,939 - mmseg - INFO - Iter [59450/80000] lr: 4.687e-06, eta: 1:06:43, time: 0.181, data_time: 0.006, memory: 52390, decode.loss_ce: 0.2148, decode.acc_seg: 91.1767, loss: 0.2148 +2023-03-04 23:54:55,716 - mmseg - INFO - Iter [59500/80000] lr: 4.687e-06, eta: 1:06:33, time: 0.176, data_time: 0.006, memory: 52390, decode.loss_ce: 0.2023, decode.acc_seg: 91.6459, loss: 0.2023 +2023-03-04 23:55:04,187 - mmseg - INFO - Iter [59550/80000] lr: 4.687e-06, eta: 1:06:22, time: 0.169, data_time: 0.006, memory: 52390, decode.loss_ce: 0.2200, decode.acc_seg: 91.0378, loss: 0.2200 +2023-03-04 23:55:13,041 - mmseg - INFO - Iter [59600/80000] lr: 4.687e-06, eta: 1:06:12, time: 0.177, data_time: 0.007, memory: 52390, decode.loss_ce: 0.2086, decode.acc_seg: 91.4497, loss: 0.2086 +2023-03-04 23:55:21,809 - mmseg - INFO - Iter [59650/80000] lr: 4.687e-06, eta: 1:06:02, time: 0.175, data_time: 0.007, memory: 52390, decode.loss_ce: 0.2072, decode.acc_seg: 91.4725, loss: 0.2072 +2023-03-04 23:55:30,365 - mmseg - INFO - Iter [59700/80000] lr: 4.687e-06, eta: 1:05:52, time: 0.171, data_time: 0.007, memory: 52390, decode.loss_ce: 0.2089, decode.acc_seg: 91.5239, loss: 0.2089 +2023-03-04 23:55:41,715 - mmseg - INFO - Iter [59750/80000] lr: 4.687e-06, eta: 1:05:43, time: 0.227, data_time: 0.053, memory: 52390, decode.loss_ce: 0.2021, decode.acc_seg: 91.7596, loss: 0.2021 +2023-03-04 23:55:50,702 - mmseg - INFO - Iter [59800/80000] lr: 4.687e-06, eta: 1:05:33, time: 0.180, data_time: 0.007, memory: 52390, decode.loss_ce: 0.2190, decode.acc_seg: 91.0914, loss: 0.2190 +2023-03-04 23:55:59,855 - mmseg - INFO - Iter [59850/80000] lr: 4.687e-06, eta: 1:05:23, time: 0.183, data_time: 0.007, memory: 52390, decode.loss_ce: 0.2081, decode.acc_seg: 91.5751, loss: 0.2081 +2023-03-04 23:56:08,417 - mmseg - INFO - Iter [59900/80000] lr: 4.687e-06, eta: 1:05:13, time: 0.171, data_time: 0.007, memory: 52390, decode.loss_ce: 0.2171, decode.acc_seg: 91.1660, loss: 0.2171 +2023-03-04 23:56:17,356 - mmseg - INFO - Iter [59950/80000] lr: 4.687e-06, eta: 1:05:03, time: 0.179, data_time: 0.006, memory: 52390, decode.loss_ce: 0.2112, decode.acc_seg: 91.3021, loss: 0.2112 +2023-03-04 23:56:26,067 - mmseg - INFO - Exp name: ablation_segformer_mit_b2_segformer_head_unet_fc_single_step_ade_pretrained_freeze_embed_80k_ade20k151_logits.py +2023-03-04 23:56:26,067 - mmseg - INFO - Iter [60000/80000] lr: 4.687e-06, eta: 1:04:53, time: 0.174, data_time: 0.006, memory: 52390, decode.loss_ce: 0.2120, decode.acc_seg: 91.1159, loss: 0.2120 +2023-03-04 23:56:35,635 - mmseg - INFO - Iter [60050/80000] lr: 2.344e-06, eta: 1:04:43, time: 0.192, data_time: 0.007, memory: 52390, decode.loss_ce: 0.2127, decode.acc_seg: 91.2331, loss: 0.2127 +2023-03-04 23:56:44,613 - mmseg - INFO - Iter [60100/80000] lr: 2.344e-06, eta: 1:04:33, time: 0.179, data_time: 0.006, memory: 52390, decode.loss_ce: 0.2196, decode.acc_seg: 91.1197, loss: 0.2196 +2023-03-04 23:56:54,288 - mmseg - INFO - Iter [60150/80000] lr: 2.344e-06, eta: 1:04:23, time: 0.194, data_time: 0.007, memory: 52390, decode.loss_ce: 0.2071, decode.acc_seg: 91.5376, loss: 0.2071 +2023-03-04 23:57:03,366 - mmseg - INFO - Iter [60200/80000] lr: 2.344e-06, eta: 1:04:13, time: 0.181, data_time: 0.006, memory: 52390, decode.loss_ce: 0.2143, decode.acc_seg: 91.3038, loss: 0.2143 +2023-03-04 23:57:12,443 - mmseg - INFO - Iter [60250/80000] lr: 2.344e-06, eta: 1:04:03, time: 0.182, data_time: 0.006, memory: 52390, decode.loss_ce: 0.2071, decode.acc_seg: 91.5069, loss: 0.2071 +2023-03-04 23:57:21,164 - mmseg - INFO - Iter [60300/80000] lr: 2.344e-06, eta: 1:03:53, time: 0.174, data_time: 0.006, memory: 52390, decode.loss_ce: 0.2060, decode.acc_seg: 91.5750, loss: 0.2060 +2023-03-04 23:57:29,975 - mmseg - INFO - Iter [60350/80000] lr: 2.344e-06, eta: 1:03:43, time: 0.176, data_time: 0.006, memory: 52390, decode.loss_ce: 0.2047, decode.acc_seg: 91.5680, loss: 0.2047 +2023-03-04 23:57:41,118 - mmseg - INFO - Iter [60400/80000] lr: 2.344e-06, eta: 1:03:34, time: 0.223, data_time: 0.053, memory: 52390, decode.loss_ce: 0.2117, decode.acc_seg: 91.2285, loss: 0.2117 +2023-03-04 23:57:49,774 - mmseg - INFO - Iter [60450/80000] lr: 2.344e-06, eta: 1:03:24, time: 0.173, data_time: 0.007, memory: 52390, decode.loss_ce: 0.2037, decode.acc_seg: 91.4301, loss: 0.2037 +2023-03-04 23:57:58,614 - mmseg - INFO - Iter [60500/80000] lr: 2.344e-06, eta: 1:03:13, time: 0.177, data_time: 0.006, memory: 52390, decode.loss_ce: 0.2190, decode.acc_seg: 91.2294, loss: 0.2190 +2023-03-04 23:58:07,305 - mmseg - INFO - Iter [60550/80000] lr: 2.344e-06, eta: 1:03:03, time: 0.174, data_time: 0.007, memory: 52390, decode.loss_ce: 0.2050, decode.acc_seg: 91.5921, loss: 0.2050 +2023-03-04 23:58:16,616 - mmseg - INFO - Iter [60600/80000] lr: 2.344e-06, eta: 1:02:53, time: 0.186, data_time: 0.006, memory: 52390, decode.loss_ce: 0.2099, decode.acc_seg: 91.2665, loss: 0.2099 +2023-03-04 23:58:25,715 - mmseg - INFO - Iter [60650/80000] lr: 2.344e-06, eta: 1:02:44, time: 0.182, data_time: 0.006, memory: 52390, decode.loss_ce: 0.2112, decode.acc_seg: 91.3021, loss: 0.2112 +2023-03-04 23:58:34,689 - mmseg - INFO - Iter [60700/80000] lr: 2.344e-06, eta: 1:02:34, time: 0.179, data_time: 0.006, memory: 52390, decode.loss_ce: 0.2042, decode.acc_seg: 91.7060, loss: 0.2042 +2023-03-04 23:58:43,449 - mmseg - INFO - Iter [60750/80000] lr: 2.344e-06, eta: 1:02:23, time: 0.175, data_time: 0.007, memory: 52390, decode.loss_ce: 0.2095, decode.acc_seg: 91.5236, loss: 0.2095 +2023-03-04 23:58:51,991 - mmseg - INFO - Iter [60800/80000] lr: 2.344e-06, eta: 1:02:13, time: 0.171, data_time: 0.007, memory: 52390, decode.loss_ce: 0.2114, decode.acc_seg: 91.3957, loss: 0.2114 +2023-03-04 23:59:00,738 - mmseg - INFO - Iter [60850/80000] lr: 2.344e-06, eta: 1:02:03, time: 0.175, data_time: 0.007, memory: 52390, decode.loss_ce: 0.2105, decode.acc_seg: 91.4992, loss: 0.2105 +2023-03-04 23:59:09,361 - mmseg - INFO - Iter [60900/80000] lr: 2.344e-06, eta: 1:01:53, time: 0.172, data_time: 0.006, memory: 52390, decode.loss_ce: 0.2078, decode.acc_seg: 91.6519, loss: 0.2078 +2023-03-04 23:59:18,365 - mmseg - INFO - Iter [60950/80000] lr: 2.344e-06, eta: 1:01:43, time: 0.180, data_time: 0.006, memory: 52390, decode.loss_ce: 0.2117, decode.acc_seg: 91.3567, loss: 0.2117 +2023-03-04 23:59:27,209 - mmseg - INFO - Exp name: ablation_segformer_mit_b2_segformer_head_unet_fc_single_step_ade_pretrained_freeze_embed_80k_ade20k151_logits.py +2023-03-04 23:59:27,209 - mmseg - INFO - Iter [61000/80000] lr: 2.344e-06, eta: 1:01:33, time: 0.177, data_time: 0.007, memory: 52390, decode.loss_ce: 0.2103, decode.acc_seg: 91.4425, loss: 0.2103 +2023-03-04 23:59:38,182 - mmseg - INFO - Iter [61050/80000] lr: 2.344e-06, eta: 1:01:24, time: 0.219, data_time: 0.053, memory: 52390, decode.loss_ce: 0.2039, decode.acc_seg: 91.7025, loss: 0.2039 +2023-03-04 23:59:46,745 - mmseg - INFO - Iter [61100/80000] lr: 2.344e-06, eta: 1:01:14, time: 0.171, data_time: 0.006, memory: 52390, decode.loss_ce: 0.2106, decode.acc_seg: 91.3032, loss: 0.2106 +2023-03-04 23:59:55,648 - mmseg - INFO - Iter [61150/80000] lr: 2.344e-06, eta: 1:01:04, time: 0.178, data_time: 0.007, memory: 52390, decode.loss_ce: 0.2039, decode.acc_seg: 91.5827, loss: 0.2039 +2023-03-05 00:00:04,641 - mmseg - INFO - Iter [61200/80000] lr: 2.344e-06, eta: 1:00:54, time: 0.180, data_time: 0.007, memory: 52390, decode.loss_ce: 0.2053, decode.acc_seg: 91.5819, loss: 0.2053 +2023-03-05 00:00:13,339 - mmseg - INFO - Iter [61250/80000] lr: 2.344e-06, eta: 1:00:44, time: 0.174, data_time: 0.006, memory: 52390, decode.loss_ce: 0.2076, decode.acc_seg: 91.4199, loss: 0.2076 +2023-03-05 00:00:22,050 - mmseg - INFO - Iter [61300/80000] lr: 2.344e-06, eta: 1:00:34, time: 0.174, data_time: 0.007, memory: 52390, decode.loss_ce: 0.2117, decode.acc_seg: 91.3224, loss: 0.2117 +2023-03-05 00:00:30,729 - mmseg - INFO - Iter [61350/80000] lr: 2.344e-06, eta: 1:00:23, time: 0.174, data_time: 0.007, memory: 52390, decode.loss_ce: 0.2037, decode.acc_seg: 91.6402, loss: 0.2037 +2023-03-05 00:00:39,808 - mmseg - INFO - Iter [61400/80000] lr: 2.344e-06, eta: 1:00:14, time: 0.182, data_time: 0.007, memory: 52390, decode.loss_ce: 0.2120, decode.acc_seg: 91.4045, loss: 0.2120 +2023-03-05 00:00:48,671 - mmseg - INFO - Iter [61450/80000] lr: 2.344e-06, eta: 1:00:04, time: 0.177, data_time: 0.007, memory: 52390, decode.loss_ce: 0.2073, decode.acc_seg: 91.3762, loss: 0.2073 +2023-03-05 00:00:57,316 - mmseg - INFO - Iter [61500/80000] lr: 2.344e-06, eta: 0:59:53, time: 0.173, data_time: 0.006, memory: 52390, decode.loss_ce: 0.2102, decode.acc_seg: 91.5390, loss: 0.2102 +2023-03-05 00:01:06,196 - mmseg - INFO - Iter [61550/80000] lr: 2.344e-06, eta: 0:59:43, time: 0.177, data_time: 0.006, memory: 52390, decode.loss_ce: 0.2169, decode.acc_seg: 91.1651, loss: 0.2169 +2023-03-05 00:01:15,209 - mmseg - INFO - Iter [61600/80000] lr: 2.344e-06, eta: 0:59:33, time: 0.181, data_time: 0.007, memory: 52390, decode.loss_ce: 0.2121, decode.acc_seg: 91.3157, loss: 0.2121 +2023-03-05 00:01:26,633 - mmseg - INFO - Iter [61650/80000] lr: 2.344e-06, eta: 0:59:24, time: 0.228, data_time: 0.055, memory: 52390, decode.loss_ce: 0.2196, decode.acc_seg: 91.2965, loss: 0.2196 +2023-03-05 00:01:36,050 - mmseg - INFO - Iter [61700/80000] lr: 2.344e-06, eta: 0:59:15, time: 0.189, data_time: 0.007, memory: 52390, decode.loss_ce: 0.2089, decode.acc_seg: 91.5689, loss: 0.2089 +2023-03-05 00:01:44,575 - mmseg - INFO - Iter [61750/80000] lr: 2.344e-06, eta: 0:59:04, time: 0.170, data_time: 0.006, memory: 52390, decode.loss_ce: 0.1992, decode.acc_seg: 91.7668, loss: 0.1992 +2023-03-05 00:01:53,701 - mmseg - INFO - Iter [61800/80000] lr: 2.344e-06, eta: 0:58:55, time: 0.183, data_time: 0.006, memory: 52390, decode.loss_ce: 0.2095, decode.acc_seg: 91.3434, loss: 0.2095 +2023-03-05 00:02:02,854 - mmseg - INFO - Iter [61850/80000] lr: 2.344e-06, eta: 0:58:45, time: 0.183, data_time: 0.006, memory: 52390, decode.loss_ce: 0.2004, decode.acc_seg: 91.7138, loss: 0.2004 +2023-03-05 00:02:11,580 - mmseg - INFO - Iter [61900/80000] lr: 2.344e-06, eta: 0:58:35, time: 0.175, data_time: 0.006, memory: 52390, decode.loss_ce: 0.2066, decode.acc_seg: 91.4689, loss: 0.2066 +2023-03-05 00:02:20,401 - mmseg - INFO - Iter [61950/80000] lr: 2.344e-06, eta: 0:58:25, time: 0.176, data_time: 0.006, memory: 52390, decode.loss_ce: 0.2074, decode.acc_seg: 91.5015, loss: 0.2074 +2023-03-05 00:02:29,080 - mmseg - INFO - Exp name: ablation_segformer_mit_b2_segformer_head_unet_fc_single_step_ade_pretrained_freeze_embed_80k_ade20k151_logits.py +2023-03-05 00:02:29,080 - mmseg - INFO - Iter [62000/80000] lr: 2.344e-06, eta: 0:58:15, time: 0.173, data_time: 0.006, memory: 52390, decode.loss_ce: 0.2103, decode.acc_seg: 91.3981, loss: 0.2103 +2023-03-05 00:02:38,022 - mmseg - INFO - Iter [62050/80000] lr: 2.344e-06, eta: 0:58:05, time: 0.179, data_time: 0.006, memory: 52390, decode.loss_ce: 0.2039, decode.acc_seg: 91.5254, loss: 0.2039 +2023-03-05 00:02:46,971 - mmseg - INFO - Iter [62100/80000] lr: 2.344e-06, eta: 0:57:55, time: 0.179, data_time: 0.007, memory: 52390, decode.loss_ce: 0.2166, decode.acc_seg: 91.1137, loss: 0.2166 +2023-03-05 00:02:56,155 - mmseg - INFO - Iter [62150/80000] lr: 2.344e-06, eta: 0:57:45, time: 0.183, data_time: 0.006, memory: 52390, decode.loss_ce: 0.2127, decode.acc_seg: 91.2021, loss: 0.2127 +2023-03-05 00:03:04,805 - mmseg - INFO - Iter [62200/80000] lr: 2.344e-06, eta: 0:57:35, time: 0.173, data_time: 0.007, memory: 52390, decode.loss_ce: 0.2064, decode.acc_seg: 91.6493, loss: 0.2064 +2023-03-05 00:03:13,658 - mmseg - INFO - Iter [62250/80000] lr: 2.344e-06, eta: 0:57:25, time: 0.177, data_time: 0.006, memory: 52390, decode.loss_ce: 0.2113, decode.acc_seg: 91.3145, loss: 0.2113 +2023-03-05 00:03:24,871 - mmseg - INFO - Iter [62300/80000] lr: 2.344e-06, eta: 0:57:15, time: 0.224, data_time: 0.053, memory: 52390, decode.loss_ce: 0.2139, decode.acc_seg: 91.3426, loss: 0.2139 +2023-03-05 00:03:33,503 - mmseg - INFO - Iter [62350/80000] lr: 2.344e-06, eta: 0:57:05, time: 0.173, data_time: 0.006, memory: 52390, decode.loss_ce: 0.2074, decode.acc_seg: 91.5542, loss: 0.2074 +2023-03-05 00:03:42,186 - mmseg - INFO - Iter [62400/80000] lr: 2.344e-06, eta: 0:56:55, time: 0.173, data_time: 0.006, memory: 52390, decode.loss_ce: 0.2097, decode.acc_seg: 91.5222, loss: 0.2097 +2023-03-05 00:03:50,960 - mmseg - INFO - Iter [62450/80000] lr: 2.344e-06, eta: 0:56:45, time: 0.176, data_time: 0.007, memory: 52390, decode.loss_ce: 0.2170, decode.acc_seg: 91.1157, loss: 0.2170 +2023-03-05 00:03:59,733 - mmseg - INFO - Iter [62500/80000] lr: 2.344e-06, eta: 0:56:35, time: 0.175, data_time: 0.006, memory: 52390, decode.loss_ce: 0.2114, decode.acc_seg: 91.2194, loss: 0.2114 +2023-03-05 00:04:08,449 - mmseg - INFO - Iter [62550/80000] lr: 2.344e-06, eta: 0:56:25, time: 0.174, data_time: 0.006, memory: 52390, decode.loss_ce: 0.2045, decode.acc_seg: 91.6445, loss: 0.2045 +2023-03-05 00:04:17,503 - mmseg - INFO - Iter [62600/80000] lr: 2.344e-06, eta: 0:56:15, time: 0.181, data_time: 0.007, memory: 52390, decode.loss_ce: 0.2091, decode.acc_seg: 91.5380, loss: 0.2091 +2023-03-05 00:04:26,446 - mmseg - INFO - Iter [62650/80000] lr: 2.344e-06, eta: 0:56:05, time: 0.179, data_time: 0.007, memory: 52390, decode.loss_ce: 0.2095, decode.acc_seg: 91.5141, loss: 0.2095 +2023-03-05 00:04:35,238 - mmseg - INFO - Iter [62700/80000] lr: 2.344e-06, eta: 0:55:56, time: 0.176, data_time: 0.006, memory: 52390, decode.loss_ce: 0.2116, decode.acc_seg: 91.4471, loss: 0.2116 +2023-03-05 00:04:44,084 - mmseg - INFO - Iter [62750/80000] lr: 2.344e-06, eta: 0:55:46, time: 0.177, data_time: 0.006, memory: 52390, decode.loss_ce: 0.2060, decode.acc_seg: 91.5162, loss: 0.2060 +2023-03-05 00:04:53,158 - mmseg - INFO - Iter [62800/80000] lr: 2.344e-06, eta: 0:55:36, time: 0.181, data_time: 0.006, memory: 52390, decode.loss_ce: 0.2190, decode.acc_seg: 91.2362, loss: 0.2190 +2023-03-05 00:05:02,022 - mmseg - INFO - Iter [62850/80000] lr: 2.344e-06, eta: 0:55:26, time: 0.177, data_time: 0.007, memory: 52390, decode.loss_ce: 0.2168, decode.acc_seg: 91.2186, loss: 0.2168 +2023-03-05 00:05:13,210 - mmseg - INFO - Iter [62900/80000] lr: 2.344e-06, eta: 0:55:16, time: 0.224, data_time: 0.055, memory: 52390, decode.loss_ce: 0.2132, decode.acc_seg: 91.3476, loss: 0.2132 +2023-03-05 00:05:22,377 - mmseg - INFO - Iter [62950/80000] lr: 2.344e-06, eta: 0:55:07, time: 0.183, data_time: 0.006, memory: 52390, decode.loss_ce: 0.2092, decode.acc_seg: 91.3792, loss: 0.2092 +2023-03-05 00:05:31,320 - mmseg - INFO - Exp name: ablation_segformer_mit_b2_segformer_head_unet_fc_single_step_ade_pretrained_freeze_embed_80k_ade20k151_logits.py +2023-03-05 00:05:31,320 - mmseg - INFO - Iter [63000/80000] lr: 2.344e-06, eta: 0:54:57, time: 0.179, data_time: 0.006, memory: 52390, decode.loss_ce: 0.2080, decode.acc_seg: 91.3796, loss: 0.2080 +2023-03-05 00:05:40,383 - mmseg - INFO - Iter [63050/80000] lr: 2.344e-06, eta: 0:54:47, time: 0.181, data_time: 0.007, memory: 52390, decode.loss_ce: 0.2111, decode.acc_seg: 91.3903, loss: 0.2111 +2023-03-05 00:05:49,322 - mmseg - INFO - Iter [63100/80000] lr: 2.344e-06, eta: 0:54:37, time: 0.179, data_time: 0.006, memory: 52390, decode.loss_ce: 0.2165, decode.acc_seg: 91.0725, loss: 0.2165 +2023-03-05 00:05:59,089 - mmseg - INFO - Iter [63150/80000] lr: 2.344e-06, eta: 0:54:27, time: 0.195, data_time: 0.008, memory: 52390, decode.loss_ce: 0.2172, decode.acc_seg: 91.1070, loss: 0.2172 +2023-03-05 00:06:08,206 - mmseg - INFO - Iter [63200/80000] lr: 2.344e-06, eta: 0:54:17, time: 0.183, data_time: 0.007, memory: 52390, decode.loss_ce: 0.2106, decode.acc_seg: 91.3924, loss: 0.2106 +2023-03-05 00:06:16,801 - mmseg - INFO - Iter [63250/80000] lr: 2.344e-06, eta: 0:54:07, time: 0.172, data_time: 0.006, memory: 52390, decode.loss_ce: 0.2045, decode.acc_seg: 91.3973, loss: 0.2045 +2023-03-05 00:06:25,447 - mmseg - INFO - Iter [63300/80000] lr: 2.344e-06, eta: 0:53:57, time: 0.173, data_time: 0.007, memory: 52390, decode.loss_ce: 0.2107, decode.acc_seg: 91.3333, loss: 0.2107 +2023-03-05 00:06:34,913 - mmseg - INFO - Iter [63350/80000] lr: 2.344e-06, eta: 0:53:47, time: 0.189, data_time: 0.006, memory: 52390, decode.loss_ce: 0.2183, decode.acc_seg: 91.1859, loss: 0.2183 +2023-03-05 00:06:43,835 - mmseg - INFO - Iter [63400/80000] lr: 2.344e-06, eta: 0:53:38, time: 0.178, data_time: 0.007, memory: 52390, decode.loss_ce: 0.2156, decode.acc_seg: 91.2849, loss: 0.2156 +2023-03-05 00:06:53,150 - mmseg - INFO - Iter [63450/80000] lr: 2.344e-06, eta: 0:53:28, time: 0.186, data_time: 0.007, memory: 52390, decode.loss_ce: 0.2126, decode.acc_seg: 91.2747, loss: 0.2126 +2023-03-05 00:07:01,984 - mmseg - INFO - Iter [63500/80000] lr: 2.344e-06, eta: 0:53:18, time: 0.177, data_time: 0.007, memory: 52390, decode.loss_ce: 0.2095, decode.acc_seg: 91.4512, loss: 0.2095 +2023-03-05 00:07:13,119 - mmseg - INFO - Iter [63550/80000] lr: 2.344e-06, eta: 0:53:09, time: 0.223, data_time: 0.054, memory: 52390, decode.loss_ce: 0.2093, decode.acc_seg: 91.3691, loss: 0.2093 +2023-03-05 00:07:22,079 - mmseg - INFO - Iter [63600/80000] lr: 2.344e-06, eta: 0:52:59, time: 0.179, data_time: 0.006, memory: 52390, decode.loss_ce: 0.2110, decode.acc_seg: 91.4194, loss: 0.2110 +2023-03-05 00:07:30,792 - mmseg - INFO - Iter [63650/80000] lr: 2.344e-06, eta: 0:52:49, time: 0.174, data_time: 0.006, memory: 52390, decode.loss_ce: 0.2124, decode.acc_seg: 91.4099, loss: 0.2124 +2023-03-05 00:07:39,554 - mmseg - INFO - Iter [63700/80000] lr: 2.344e-06, eta: 0:52:39, time: 0.175, data_time: 0.006, memory: 52390, decode.loss_ce: 0.2191, decode.acc_seg: 91.1353, loss: 0.2191 +2023-03-05 00:07:48,600 - mmseg - INFO - Iter [63750/80000] lr: 2.344e-06, eta: 0:52:29, time: 0.181, data_time: 0.006, memory: 52390, decode.loss_ce: 0.2021, decode.acc_seg: 91.7015, loss: 0.2021 +2023-03-05 00:07:57,368 - mmseg - INFO - Iter [63800/80000] lr: 2.344e-06, eta: 0:52:19, time: 0.175, data_time: 0.006, memory: 52390, decode.loss_ce: 0.2113, decode.acc_seg: 91.2496, loss: 0.2113 +2023-03-05 00:08:06,232 - mmseg - INFO - Iter [63850/80000] lr: 2.344e-06, eta: 0:52:09, time: 0.177, data_time: 0.006, memory: 52390, decode.loss_ce: 0.2184, decode.acc_seg: 91.1078, loss: 0.2184 +2023-03-05 00:08:14,890 - mmseg - INFO - Iter [63900/80000] lr: 2.344e-06, eta: 0:51:59, time: 0.173, data_time: 0.006, memory: 52390, decode.loss_ce: 0.2129, decode.acc_seg: 91.4291, loss: 0.2129 +2023-03-05 00:08:24,117 - mmseg - INFO - Iter [63950/80000] lr: 2.344e-06, eta: 0:51:49, time: 0.184, data_time: 0.006, memory: 52390, decode.loss_ce: 0.2026, decode.acc_seg: 91.7049, loss: 0.2026 +2023-03-05 00:08:32,937 - mmseg - INFO - Saving checkpoint at 64000 iterations +2023-03-05 00:08:33,609 - mmseg - INFO - Exp name: ablation_segformer_mit_b2_segformer_head_unet_fc_single_step_ade_pretrained_freeze_embed_80k_ade20k151_logits.py +2023-03-05 00:08:33,609 - mmseg - INFO - Iter [64000/80000] lr: 2.344e-06, eta: 0:51:39, time: 0.190, data_time: 0.006, memory: 52390, decode.loss_ce: 0.2060, decode.acc_seg: 91.5443, loss: 0.2060 +2023-03-05 00:08:49,445 - mmseg - INFO - per class results: +2023-03-05 00:08:49,452 - mmseg - INFO - ++---------------------+-------+-------+ +| Class | IoU | Acc | ++---------------------+-------+-------+ +| background | nan | nan | +| wall | 76.72 | 88.59 | +| building | 81.39 | 91.59 | +| sky | 94.34 | 97.35 | +| floor | 81.19 | 90.76 | +| tree | 73.55 | 87.48 | +| ceiling | 84.25 | 93.1 | +| road | 81.81 | 90.06 | +| bed | 86.76 | 95.07 | +| windowpane | 59.62 | 76.91 | +| grass | 65.49 | 81.35 | +| cabinet | 59.44 | 71.81 | +| sidewalk | 63.55 | 79.21 | +| person | 78.18 | 91.65 | +| earth | 35.62 | 49.57 | +| door | 44.2 | 58.1 | +| table | 58.4 | 75.38 | +| mountain | 55.95 | 70.34 | +| plant | 50.12 | 62.29 | +| curtain | 73.3 | 83.68 | +| chair | 54.01 | 67.26 | +| car | 79.92 | 92.76 | +| water | 57.34 | 76.6 | +| painting | 69.21 | 84.54 | +| sofa | 62.85 | 82.1 | +| shelf | 42.72 | 60.67 | +| house | 42.63 | 58.61 | +| sea | 60.96 | 77.18 | +| mirror | 63.48 | 72.67 | +| rug | 65.25 | 74.33 | +| field | 29.03 | 45.81 | +| armchair | 35.71 | 51.02 | +| seat | 66.11 | 82.54 | +| fence | 41.49 | 56.62 | +| desk | 45.42 | 66.75 | +| rock | 37.15 | 58.33 | +| wardrobe | 56.61 | 69.22 | +| lamp | 58.71 | 73.29 | +| bathtub | 75.44 | 84.07 | +| railing | 33.15 | 45.28 | +| cushion | 55.05 | 67.81 | +| base | 21.8 | 26.53 | +| box | 22.1 | 29.75 | +| column | 44.88 | 54.34 | +| signboard | 36.86 | 48.8 | +| chest of drawers | 36.27 | 57.61 | +| counter | 31.35 | 42.25 | +| sand | 41.54 | 59.3 | +| sink | 64.95 | 76.23 | +| skyscraper | 54.32 | 68.68 | +| fireplace | 73.45 | 85.33 | +| refrigerator | 69.55 | 84.25 | +| grandstand | 48.24 | 63.09 | +| path | 22.61 | 29.48 | +| stairs | 32.83 | 40.35 | +| runway | 66.93 | 85.76 | +| case | 48.62 | 60.24 | +| pool table | 91.38 | 94.5 | +| pillow | 60.45 | 72.18 | +| screen door | 65.34 | 73.82 | +| stairway | 23.86 | 35.71 | +| river | 11.52 | 21.54 | +| bridge | 34.75 | 41.0 | +| bookcase | 43.17 | 63.31 | +| blind | 42.5 | 48.09 | +| coffee table | 52.56 | 76.98 | +| toilet | 82.0 | 89.65 | +| flower | 37.38 | 51.14 | +| book | 42.84 | 61.3 | +| hill | 14.1 | 21.71 | +| bench | 40.02 | 53.71 | +| countertop | 53.02 | 68.97 | +| stove | 69.47 | 80.49 | +| palm | 48.98 | 67.73 | +| kitchen island | 38.66 | 60.38 | +| computer | 59.76 | 68.95 | +| swivel chair | 43.34 | 59.61 | +| boat | 68.93 | 84.32 | +| bar | 22.24 | 30.1 | +| arcade machine | 68.03 | 69.78 | +| hovel | 23.91 | 26.21 | +| bus | 77.81 | 89.98 | +| towel | 62.08 | 70.48 | +| light | 49.52 | 55.97 | +| truck | 15.74 | 21.37 | +| tower | 6.21 | 9.83 | +| chandelier | 62.49 | 77.43 | +| awning | 24.68 | 29.22 | +| streetlight | 23.6 | 31.11 | +| booth | 41.91 | 42.94 | +| television receiver | 63.89 | 77.03 | +| airplane | 57.03 | 62.59 | +| dirt track | 12.96 | 37.15 | +| apparel | 32.79 | 51.9 | +| pole | 18.12 | 22.98 | +| land | 3.07 | 4.26 | +| bannister | 10.12 | 13.53 | +| escalator | 23.59 | 25.52 | +| ottoman | 41.76 | 60.68 | +| bottle | 34.3 | 55.08 | +| buffet | 39.72 | 45.62 | +| poster | 21.8 | 31.66 | +| stage | 13.4 | 16.98 | +| van | 37.75 | 54.03 | +| ship | 75.58 | 91.8 | +| fountain | 9.13 | 9.31 | +| conveyer belt | 82.92 | 88.6 | +| canopy | 24.97 | 26.66 | +| washer | 78.83 | 81.33 | +| plaything | 20.91 | 29.48 | +| swimming pool | 75.53 | 82.33 | +| stool | 41.25 | 53.57 | +| barrel | 37.85 | 58.43 | +| basket | 24.57 | 37.2 | +| waterfall | 49.68 | 66.33 | +| tent | 93.43 | 97.44 | +| bag | 14.02 | 16.88 | +| minibike | 60.63 | 73.7 | +| cradle | 81.84 | 96.67 | +| oven | 47.83 | 61.11 | +| ball | 41.13 | 46.67 | +| food | 48.81 | 57.95 | +| step | 6.1 | 6.83 | +| tank | 50.41 | 56.81 | +| trade name | 25.15 | 28.03 | +| microwave | 75.84 | 83.05 | +| pot | 31.12 | 36.02 | +| animal | 53.31 | 60.07 | +| bicycle | 52.16 | 65.29 | +| lake | 57.08 | 62.95 | +| dishwasher | 62.14 | 76.99 | +| screen | 67.29 | 82.32 | +| blanket | 14.68 | 16.28 | +| sculpture | 58.49 | 77.29 | +| hood | 54.85 | 61.41 | +| sconce | 42.91 | 54.83 | +| vase | 31.04 | 46.9 | +| traffic light | 30.09 | 42.37 | +| tray | 4.54 | 6.7 | +| ashcan | 38.95 | 52.66 | +| fan | 55.85 | 68.3 | +| pier | 49.13 | 66.96 | +| crt screen | 8.78 | 22.38 | +| plate | 47.38 | 64.35 | +| monitor | 14.66 | 17.31 | +| bulletin board | 37.33 | 49.01 | +| shower | 1.49 | 5.4 | +| radiator | 58.59 | 67.1 | +| glass | 11.05 | 12.06 | +| clock | 32.31 | 35.51 | +| flag | 34.44 | 37.51 | ++---------------------+-------+-------+ +2023-03-05 00:08:49,452 - mmseg - INFO - Summary: +2023-03-05 00:08:49,452 - mmseg - INFO - ++-------+-------+-------+ +| aAcc | mIoU | mAcc | ++-------+-------+-------+ +| 82.28 | 47.21 | 58.27 | ++-------+-------+-------+ +2023-03-05 00:08:49,474 - mmseg - INFO - The previous best checkpoint /mnt/petrelfs/laizeqiang/mmseg-baseline/work_dirs2/ablation_segformer_mit_b2_segformer_head_unet_fc_single_step_ade_pretrained_freeze_embed_80k_ade20k151_logits/best_mIoU_iter_56000.pth was removed +2023-03-05 00:08:50,087 - mmseg - INFO - Now best checkpoint is saved as best_mIoU_iter_64000.pth. +2023-03-05 00:08:50,088 - mmseg - INFO - Best mIoU is 0.4721 at 64000 iter. +2023-03-05 00:08:50,088 - mmseg - INFO - Exp name: ablation_segformer_mit_b2_segformer_head_unet_fc_single_step_ade_pretrained_freeze_embed_80k_ade20k151_logits.py +2023-03-05 00:08:50,088 - mmseg - INFO - Iter(val) [250] aAcc: 0.8228, mIoU: 0.4721, mAcc: 0.5827, IoU.background: nan, IoU.wall: 0.7672, IoU.building: 0.8139, IoU.sky: 0.9434, IoU.floor: 0.8119, IoU.tree: 0.7355, IoU.ceiling: 0.8425, IoU.road: 0.8181, IoU.bed : 0.8676, IoU.windowpane: 0.5962, IoU.grass: 0.6549, IoU.cabinet: 0.5944, IoU.sidewalk: 0.6355, IoU.person: 0.7818, IoU.earth: 0.3562, IoU.door: 0.4420, IoU.table: 0.5840, IoU.mountain: 0.5595, IoU.plant: 0.5012, IoU.curtain: 0.7330, IoU.chair: 0.5401, IoU.car: 0.7992, IoU.water: 0.5734, IoU.painting: 0.6921, IoU.sofa: 0.6285, IoU.shelf: 0.4272, IoU.house: 0.4263, IoU.sea: 0.6096, IoU.mirror: 0.6348, IoU.rug: 0.6525, IoU.field: 0.2903, IoU.armchair: 0.3571, IoU.seat: 0.6611, IoU.fence: 0.4149, IoU.desk: 0.4542, IoU.rock: 0.3715, IoU.wardrobe: 0.5661, IoU.lamp: 0.5871, IoU.bathtub: 0.7544, IoU.railing: 0.3315, IoU.cushion: 0.5505, IoU.base: 0.2180, IoU.box: 0.2210, IoU.column: 0.4488, IoU.signboard: 0.3686, IoU.chest of drawers: 0.3627, IoU.counter: 0.3135, IoU.sand: 0.4154, IoU.sink: 0.6495, IoU.skyscraper: 0.5432, IoU.fireplace: 0.7345, IoU.refrigerator: 0.6955, IoU.grandstand: 0.4824, IoU.path: 0.2261, IoU.stairs: 0.3283, IoU.runway: 0.6693, IoU.case: 0.4862, IoU.pool table: 0.9138, IoU.pillow: 0.6045, IoU.screen door: 0.6534, IoU.stairway: 0.2386, IoU.river: 0.1152, IoU.bridge: 0.3475, IoU.bookcase: 0.4317, IoU.blind: 0.4250, IoU.coffee table: 0.5256, IoU.toilet: 0.8200, IoU.flower: 0.3738, IoU.book: 0.4284, IoU.hill: 0.1410, IoU.bench: 0.4002, IoU.countertop: 0.5302, IoU.stove: 0.6947, IoU.palm: 0.4898, IoU.kitchen island: 0.3866, IoU.computer: 0.5976, IoU.swivel chair: 0.4334, IoU.boat: 0.6893, IoU.bar: 0.2224, IoU.arcade machine: 0.6803, IoU.hovel: 0.2391, IoU.bus: 0.7781, IoU.towel: 0.6208, IoU.light: 0.4952, IoU.truck: 0.1574, IoU.tower: 0.0621, IoU.chandelier: 0.6249, IoU.awning: 0.2468, IoU.streetlight: 0.2360, IoU.booth: 0.4191, IoU.television receiver: 0.6389, IoU.airplane: 0.5703, IoU.dirt track: 0.1296, IoU.apparel: 0.3279, IoU.pole: 0.1812, IoU.land: 0.0307, IoU.bannister: 0.1012, IoU.escalator: 0.2359, IoU.ottoman: 0.4176, IoU.bottle: 0.3430, IoU.buffet: 0.3972, IoU.poster: 0.2180, IoU.stage: 0.1340, IoU.van: 0.3775, IoU.ship: 0.7558, IoU.fountain: 0.0913, IoU.conveyer belt: 0.8292, IoU.canopy: 0.2497, IoU.washer: 0.7883, IoU.plaything: 0.2091, IoU.swimming pool: 0.7553, IoU.stool: 0.4125, IoU.barrel: 0.3785, IoU.basket: 0.2457, IoU.waterfall: 0.4968, IoU.tent: 0.9343, IoU.bag: 0.1402, IoU.minibike: 0.6063, IoU.cradle: 0.8184, IoU.oven: 0.4783, IoU.ball: 0.4113, IoU.food: 0.4881, IoU.step: 0.0610, IoU.tank: 0.5041, IoU.trade name: 0.2515, IoU.microwave: 0.7584, IoU.pot: 0.3112, IoU.animal: 0.5331, IoU.bicycle: 0.5216, IoU.lake: 0.5708, IoU.dishwasher: 0.6214, IoU.screen: 0.6729, IoU.blanket: 0.1468, IoU.sculpture: 0.5849, IoU.hood: 0.5485, IoU.sconce: 0.4291, IoU.vase: 0.3104, IoU.traffic light: 0.3009, IoU.tray: 0.0454, IoU.ashcan: 0.3895, IoU.fan: 0.5585, IoU.pier: 0.4913, IoU.crt screen: 0.0878, IoU.plate: 0.4738, IoU.monitor: 0.1466, IoU.bulletin board: 0.3733, IoU.shower: 0.0149, IoU.radiator: 0.5859, IoU.glass: 0.1105, IoU.clock: 0.3231, IoU.flag: 0.3444, Acc.background: nan, Acc.wall: 0.8859, Acc.building: 0.9159, Acc.sky: 0.9735, Acc.floor: 0.9076, Acc.tree: 0.8748, Acc.ceiling: 0.9310, Acc.road: 0.9006, Acc.bed : 0.9507, Acc.windowpane: 0.7691, Acc.grass: 0.8135, Acc.cabinet: 0.7181, Acc.sidewalk: 0.7921, Acc.person: 0.9165, Acc.earth: 0.4957, Acc.door: 0.5810, Acc.table: 0.7538, Acc.mountain: 0.7034, Acc.plant: 0.6229, Acc.curtain: 0.8368, Acc.chair: 0.6726, Acc.car: 0.9276, Acc.water: 0.7660, Acc.painting: 0.8454, Acc.sofa: 0.8210, Acc.shelf: 0.6067, Acc.house: 0.5861, Acc.sea: 0.7718, Acc.mirror: 0.7267, Acc.rug: 0.7433, Acc.field: 0.4581, Acc.armchair: 0.5102, Acc.seat: 0.8254, Acc.fence: 0.5662, Acc.desk: 0.6675, Acc.rock: 0.5833, Acc.wardrobe: 0.6922, Acc.lamp: 0.7329, Acc.bathtub: 0.8407, Acc.railing: 0.4528, Acc.cushion: 0.6781, Acc.base: 0.2653, Acc.box: 0.2975, Acc.column: 0.5434, Acc.signboard: 0.4880, Acc.chest of drawers: 0.5761, Acc.counter: 0.4225, Acc.sand: 0.5930, Acc.sink: 0.7623, Acc.skyscraper: 0.6868, Acc.fireplace: 0.8533, Acc.refrigerator: 0.8425, Acc.grandstand: 0.6309, Acc.path: 0.2948, Acc.stairs: 0.4035, Acc.runway: 0.8576, Acc.case: 0.6024, Acc.pool table: 0.9450, Acc.pillow: 0.7218, Acc.screen door: 0.7382, Acc.stairway: 0.3571, Acc.river: 0.2154, Acc.bridge: 0.4100, Acc.bookcase: 0.6331, Acc.blind: 0.4809, Acc.coffee table: 0.7698, Acc.toilet: 0.8965, Acc.flower: 0.5114, Acc.book: 0.6130, Acc.hill: 0.2171, Acc.bench: 0.5371, Acc.countertop: 0.6897, Acc.stove: 0.8049, Acc.palm: 0.6773, Acc.kitchen island: 0.6038, Acc.computer: 0.6895, Acc.swivel chair: 0.5961, Acc.boat: 0.8432, Acc.bar: 0.3010, Acc.arcade machine: 0.6978, Acc.hovel: 0.2621, Acc.bus: 0.8998, Acc.towel: 0.7048, Acc.light: 0.5597, Acc.truck: 0.2137, Acc.tower: 0.0983, Acc.chandelier: 0.7743, Acc.awning: 0.2922, Acc.streetlight: 0.3111, Acc.booth: 0.4294, Acc.television receiver: 0.7703, Acc.airplane: 0.6259, Acc.dirt track: 0.3715, Acc.apparel: 0.5190, Acc.pole: 0.2298, Acc.land: 0.0426, Acc.bannister: 0.1353, Acc.escalator: 0.2552, Acc.ottoman: 0.6068, Acc.bottle: 0.5508, Acc.buffet: 0.4562, Acc.poster: 0.3166, Acc.stage: 0.1698, Acc.van: 0.5403, Acc.ship: 0.9180, Acc.fountain: 0.0931, Acc.conveyer belt: 0.8860, Acc.canopy: 0.2666, Acc.washer: 0.8133, Acc.plaything: 0.2948, Acc.swimming pool: 0.8233, Acc.stool: 0.5357, Acc.barrel: 0.5843, Acc.basket: 0.3720, Acc.waterfall: 0.6633, Acc.tent: 0.9744, Acc.bag: 0.1688, Acc.minibike: 0.7370, Acc.cradle: 0.9667, Acc.oven: 0.6111, Acc.ball: 0.4667, Acc.food: 0.5795, Acc.step: 0.0683, Acc.tank: 0.5681, Acc.trade name: 0.2803, Acc.microwave: 0.8305, Acc.pot: 0.3602, Acc.animal: 0.6007, Acc.bicycle: 0.6529, Acc.lake: 0.6295, Acc.dishwasher: 0.7699, Acc.screen: 0.8232, Acc.blanket: 0.1628, Acc.sculpture: 0.7729, Acc.hood: 0.6141, Acc.sconce: 0.5483, Acc.vase: 0.4690, Acc.traffic light: 0.4237, Acc.tray: 0.0670, Acc.ashcan: 0.5266, Acc.fan: 0.6830, Acc.pier: 0.6696, Acc.crt screen: 0.2238, Acc.plate: 0.6435, Acc.monitor: 0.1731, Acc.bulletin board: 0.4901, Acc.shower: 0.0540, Acc.radiator: 0.6710, Acc.glass: 0.1206, Acc.clock: 0.3551, Acc.flag: 0.3751 +2023-03-05 00:08:59,091 - mmseg - INFO - Iter [64050/80000] lr: 2.344e-06, eta: 0:51:34, time: 0.510, data_time: 0.337, memory: 52390, decode.loss_ce: 0.2186, decode.acc_seg: 91.2425, loss: 0.2186 +2023-03-05 00:09:07,845 - mmseg - INFO - Iter [64100/80000] lr: 2.344e-06, eta: 0:51:24, time: 0.175, data_time: 0.007, memory: 52390, decode.loss_ce: 0.2189, decode.acc_seg: 91.1121, loss: 0.2189 +2023-03-05 00:09:16,787 - mmseg - INFO - Iter [64150/80000] lr: 2.344e-06, eta: 0:51:14, time: 0.179, data_time: 0.006, memory: 52390, decode.loss_ce: 0.2062, decode.acc_seg: 91.6137, loss: 0.2062 +2023-03-05 00:09:28,192 - mmseg - INFO - Iter [64200/80000] lr: 2.344e-06, eta: 0:51:05, time: 0.228, data_time: 0.056, memory: 52390, decode.loss_ce: 0.2064, decode.acc_seg: 91.5437, loss: 0.2064 +2023-03-05 00:09:37,777 - mmseg - INFO - Iter [64250/80000] lr: 2.344e-06, eta: 0:50:55, time: 0.191, data_time: 0.006, memory: 52390, decode.loss_ce: 0.2153, decode.acc_seg: 91.2895, loss: 0.2153 +2023-03-05 00:09:46,538 - mmseg - INFO - Iter [64300/80000] lr: 2.344e-06, eta: 0:50:45, time: 0.175, data_time: 0.007, memory: 52390, decode.loss_ce: 0.2110, decode.acc_seg: 91.3337, loss: 0.2110 +2023-03-05 00:09:55,380 - mmseg - INFO - Iter [64350/80000] lr: 2.344e-06, eta: 0:50:35, time: 0.177, data_time: 0.006, memory: 52390, decode.loss_ce: 0.2145, decode.acc_seg: 91.1807, loss: 0.2145 +2023-03-05 00:10:04,356 - mmseg - INFO - Iter [64400/80000] lr: 2.344e-06, eta: 0:50:26, time: 0.180, data_time: 0.007, memory: 52390, decode.loss_ce: 0.2066, decode.acc_seg: 91.5124, loss: 0.2066 +2023-03-05 00:10:13,468 - mmseg - INFO - Iter [64450/80000] lr: 2.344e-06, eta: 0:50:16, time: 0.182, data_time: 0.007, memory: 52390, decode.loss_ce: 0.2074, decode.acc_seg: 91.4704, loss: 0.2074 +2023-03-05 00:10:22,089 - mmseg - INFO - Iter [64500/80000] lr: 2.344e-06, eta: 0:50:06, time: 0.172, data_time: 0.006, memory: 52390, decode.loss_ce: 0.2092, decode.acc_seg: 91.4564, loss: 0.2092 +2023-03-05 00:10:30,912 - mmseg - INFO - Iter [64550/80000] lr: 2.344e-06, eta: 0:49:56, time: 0.176, data_time: 0.006, memory: 52390, decode.loss_ce: 0.2091, decode.acc_seg: 91.3356, loss: 0.2091 +2023-03-05 00:10:39,908 - mmseg - INFO - Iter [64600/80000] lr: 2.344e-06, eta: 0:49:46, time: 0.180, data_time: 0.006, memory: 52390, decode.loss_ce: 0.2137, decode.acc_seg: 91.2774, loss: 0.2137 +2023-03-05 00:10:48,936 - mmseg - INFO - Iter [64650/80000] lr: 2.344e-06, eta: 0:49:36, time: 0.181, data_time: 0.007, memory: 52390, decode.loss_ce: 0.2137, decode.acc_seg: 91.3483, loss: 0.2137 +2023-03-05 00:10:58,173 - mmseg - INFO - Iter [64700/80000] lr: 2.344e-06, eta: 0:49:26, time: 0.185, data_time: 0.007, memory: 52390, decode.loss_ce: 0.2072, decode.acc_seg: 91.5075, loss: 0.2072 +2023-03-05 00:11:07,264 - mmseg - INFO - Iter [64750/80000] lr: 2.344e-06, eta: 0:49:16, time: 0.182, data_time: 0.006, memory: 52390, decode.loss_ce: 0.2150, decode.acc_seg: 91.2472, loss: 0.2150 +2023-03-05 00:11:18,520 - mmseg - INFO - Iter [64800/80000] lr: 2.344e-06, eta: 0:49:07, time: 0.225, data_time: 0.057, memory: 52390, decode.loss_ce: 0.2111, decode.acc_seg: 91.2572, loss: 0.2111 +2023-03-05 00:11:27,561 - mmseg - INFO - Iter [64850/80000] lr: 2.344e-06, eta: 0:48:57, time: 0.181, data_time: 0.006, memory: 52390, decode.loss_ce: 0.2026, decode.acc_seg: 91.7330, loss: 0.2026 +2023-03-05 00:11:36,252 - mmseg - INFO - Iter [64900/80000] lr: 2.344e-06, eta: 0:48:47, time: 0.174, data_time: 0.006, memory: 52390, decode.loss_ce: 0.2146, decode.acc_seg: 91.2451, loss: 0.2146 +2023-03-05 00:11:45,478 - mmseg - INFO - Iter [64950/80000] lr: 2.344e-06, eta: 0:48:37, time: 0.184, data_time: 0.006, memory: 52390, decode.loss_ce: 0.2061, decode.acc_seg: 91.5813, loss: 0.2061 +2023-03-05 00:11:54,426 - mmseg - INFO - Exp name: ablation_segformer_mit_b2_segformer_head_unet_fc_single_step_ade_pretrained_freeze_embed_80k_ade20k151_logits.py +2023-03-05 00:11:54,426 - mmseg - INFO - Iter [65000/80000] lr: 2.344e-06, eta: 0:48:27, time: 0.179, data_time: 0.007, memory: 52390, decode.loss_ce: 0.2107, decode.acc_seg: 91.4068, loss: 0.2107 +2023-03-05 00:12:03,060 - mmseg - INFO - Iter [65050/80000] lr: 2.344e-06, eta: 0:48:18, time: 0.173, data_time: 0.006, memory: 52390, decode.loss_ce: 0.2060, decode.acc_seg: 91.5080, loss: 0.2060 +2023-03-05 00:12:12,256 - mmseg - INFO - Iter [65100/80000] lr: 2.344e-06, eta: 0:48:08, time: 0.184, data_time: 0.006, memory: 52390, decode.loss_ce: 0.2104, decode.acc_seg: 91.3905, loss: 0.2104 +2023-03-05 00:12:21,091 - mmseg - INFO - Iter [65150/80000] lr: 2.344e-06, eta: 0:47:58, time: 0.177, data_time: 0.006, memory: 52390, decode.loss_ce: 0.2163, decode.acc_seg: 91.1383, loss: 0.2163 +2023-03-05 00:12:29,983 - mmseg - INFO - Iter [65200/80000] lr: 2.344e-06, eta: 0:47:48, time: 0.178, data_time: 0.006, memory: 52390, decode.loss_ce: 0.2109, decode.acc_seg: 91.3473, loss: 0.2109 +2023-03-05 00:12:38,740 - mmseg - INFO - Iter [65250/80000] lr: 2.344e-06, eta: 0:47:38, time: 0.175, data_time: 0.006, memory: 52390, decode.loss_ce: 0.2049, decode.acc_seg: 91.7458, loss: 0.2049 +2023-03-05 00:12:47,459 - mmseg - INFO - Iter [65300/80000] lr: 2.344e-06, eta: 0:47:28, time: 0.174, data_time: 0.007, memory: 52390, decode.loss_ce: 0.2154, decode.acc_seg: 91.2680, loss: 0.2154 +2023-03-05 00:12:56,594 - mmseg - INFO - Iter [65350/80000] lr: 2.344e-06, eta: 0:47:18, time: 0.182, data_time: 0.006, memory: 52390, decode.loss_ce: 0.2044, decode.acc_seg: 91.5896, loss: 0.2044 +2023-03-05 00:13:05,442 - mmseg - INFO - Iter [65400/80000] lr: 2.344e-06, eta: 0:47:08, time: 0.177, data_time: 0.007, memory: 52390, decode.loss_ce: 0.2027, decode.acc_seg: 91.8255, loss: 0.2027 +2023-03-05 00:13:16,827 - mmseg - INFO - Iter [65450/80000] lr: 2.344e-06, eta: 0:46:59, time: 0.228, data_time: 0.054, memory: 52390, decode.loss_ce: 0.2084, decode.acc_seg: 91.5636, loss: 0.2084 +2023-03-05 00:13:25,789 - mmseg - INFO - Iter [65500/80000] lr: 2.344e-06, eta: 0:46:49, time: 0.179, data_time: 0.006, memory: 52390, decode.loss_ce: 0.2153, decode.acc_seg: 91.3965, loss: 0.2153 +2023-03-05 00:13:34,908 - mmseg - INFO - Iter [65550/80000] lr: 2.344e-06, eta: 0:46:39, time: 0.183, data_time: 0.007, memory: 52390, decode.loss_ce: 0.2090, decode.acc_seg: 91.4187, loss: 0.2090 +2023-03-05 00:13:43,810 - mmseg - INFO - Iter [65600/80000] lr: 2.344e-06, eta: 0:46:29, time: 0.178, data_time: 0.006, memory: 52390, decode.loss_ce: 0.2080, decode.acc_seg: 91.2978, loss: 0.2080 +2023-03-05 00:13:52,687 - mmseg - INFO - Iter [65650/80000] lr: 2.344e-06, eta: 0:46:20, time: 0.178, data_time: 0.007, memory: 52390, decode.loss_ce: 0.2140, decode.acc_seg: 91.2850, loss: 0.2140 +2023-03-05 00:14:01,667 - mmseg - INFO - Iter [65700/80000] lr: 2.344e-06, eta: 0:46:10, time: 0.180, data_time: 0.006, memory: 52390, decode.loss_ce: 0.1969, decode.acc_seg: 91.8258, loss: 0.1969 +2023-03-05 00:14:10,783 - mmseg - INFO - Iter [65750/80000] lr: 2.344e-06, eta: 0:46:00, time: 0.182, data_time: 0.006, memory: 52390, decode.loss_ce: 0.2132, decode.acc_seg: 91.3378, loss: 0.2132 +2023-03-05 00:14:19,753 - mmseg - INFO - Iter [65800/80000] lr: 2.344e-06, eta: 0:45:50, time: 0.179, data_time: 0.007, memory: 52390, decode.loss_ce: 0.2073, decode.acc_seg: 91.6079, loss: 0.2073 +2023-03-05 00:14:28,792 - mmseg - INFO - Iter [65850/80000] lr: 2.344e-06, eta: 0:45:40, time: 0.181, data_time: 0.007, memory: 52390, decode.loss_ce: 0.2120, decode.acc_seg: 91.4364, loss: 0.2120 +2023-03-05 00:14:37,916 - mmseg - INFO - Iter [65900/80000] lr: 2.344e-06, eta: 0:45:30, time: 0.182, data_time: 0.007, memory: 52390, decode.loss_ce: 0.2209, decode.acc_seg: 90.8970, loss: 0.2209 +2023-03-05 00:14:46,617 - mmseg - INFO - Iter [65950/80000] lr: 2.344e-06, eta: 0:45:20, time: 0.174, data_time: 0.006, memory: 52390, decode.loss_ce: 0.2048, decode.acc_seg: 91.5487, loss: 0.2048 +2023-03-05 00:14:55,825 - mmseg - INFO - Exp name: ablation_segformer_mit_b2_segformer_head_unet_fc_single_step_ade_pretrained_freeze_embed_80k_ade20k151_logits.py +2023-03-05 00:14:55,825 - mmseg - INFO - Iter [66000/80000] lr: 2.344e-06, eta: 0:45:11, time: 0.184, data_time: 0.007, memory: 52390, decode.loss_ce: 0.2046, decode.acc_seg: 91.6480, loss: 0.2046 +2023-03-05 00:15:04,563 - mmseg - INFO - Iter [66050/80000] lr: 2.344e-06, eta: 0:45:01, time: 0.175, data_time: 0.007, memory: 52390, decode.loss_ce: 0.2154, decode.acc_seg: 91.2226, loss: 0.2154 +2023-03-05 00:15:15,919 - mmseg - INFO - Iter [66100/80000] lr: 2.344e-06, eta: 0:44:51, time: 0.227, data_time: 0.054, memory: 52390, decode.loss_ce: 0.2161, decode.acc_seg: 91.1465, loss: 0.2161 +2023-03-05 00:15:25,011 - mmseg - INFO - Iter [66150/80000] lr: 2.344e-06, eta: 0:44:42, time: 0.182, data_time: 0.006, memory: 52390, decode.loss_ce: 0.2105, decode.acc_seg: 91.4936, loss: 0.2105 +2023-03-05 00:15:33,922 - mmseg - INFO - Iter [66200/80000] lr: 2.344e-06, eta: 0:44:32, time: 0.178, data_time: 0.007, memory: 52390, decode.loss_ce: 0.2128, decode.acc_seg: 91.2924, loss: 0.2128 +2023-03-05 00:15:43,516 - mmseg - INFO - Iter [66250/80000] lr: 2.344e-06, eta: 0:44:22, time: 0.192, data_time: 0.006, memory: 52390, decode.loss_ce: 0.2180, decode.acc_seg: 91.2750, loss: 0.2180 +2023-03-05 00:15:52,881 - mmseg - INFO - Iter [66300/80000] lr: 2.344e-06, eta: 0:44:12, time: 0.187, data_time: 0.007, memory: 52390, decode.loss_ce: 0.2041, decode.acc_seg: 91.6756, loss: 0.2041 +2023-03-05 00:16:01,874 - mmseg - INFO - Iter [66350/80000] lr: 2.344e-06, eta: 0:44:02, time: 0.180, data_time: 0.007, memory: 52390, decode.loss_ce: 0.2073, decode.acc_seg: 91.4511, loss: 0.2073 +2023-03-05 00:16:10,650 - mmseg - INFO - Iter [66400/80000] lr: 2.344e-06, eta: 0:43:53, time: 0.176, data_time: 0.006, memory: 52390, decode.loss_ce: 0.2080, decode.acc_seg: 91.4968, loss: 0.2080 +2023-03-05 00:16:19,664 - mmseg - INFO - Iter [66450/80000] lr: 2.344e-06, eta: 0:43:43, time: 0.180, data_time: 0.007, memory: 52390, decode.loss_ce: 0.2113, decode.acc_seg: 91.4558, loss: 0.2113 +2023-03-05 00:16:28,855 - mmseg - INFO - Iter [66500/80000] lr: 2.344e-06, eta: 0:43:33, time: 0.184, data_time: 0.007, memory: 52390, decode.loss_ce: 0.2046, decode.acc_seg: 91.6463, loss: 0.2046 +2023-03-05 00:16:37,681 - mmseg - INFO - Iter [66550/80000] lr: 2.344e-06, eta: 0:43:23, time: 0.177, data_time: 0.007, memory: 52390, decode.loss_ce: 0.2072, decode.acc_seg: 91.4759, loss: 0.2072 +2023-03-05 00:16:46,577 - mmseg - INFO - Iter [66600/80000] lr: 2.344e-06, eta: 0:43:13, time: 0.178, data_time: 0.006, memory: 52390, decode.loss_ce: 0.2069, decode.acc_seg: 91.5139, loss: 0.2069 +2023-03-05 00:16:55,934 - mmseg - INFO - Iter [66650/80000] lr: 2.344e-06, eta: 0:43:03, time: 0.187, data_time: 0.007, memory: 52390, decode.loss_ce: 0.2170, decode.acc_seg: 91.1143, loss: 0.2170 +2023-03-05 00:17:07,379 - mmseg - INFO - Iter [66700/80000] lr: 2.344e-06, eta: 0:42:54, time: 0.229, data_time: 0.054, memory: 52390, decode.loss_ce: 0.2134, decode.acc_seg: 91.3891, loss: 0.2134 +2023-03-05 00:17:16,087 - mmseg - INFO - Iter [66750/80000] lr: 2.344e-06, eta: 0:42:44, time: 0.174, data_time: 0.007, memory: 52390, decode.loss_ce: 0.2060, decode.acc_seg: 91.5344, loss: 0.2060 +2023-03-05 00:17:25,078 - mmseg - INFO - Iter [66800/80000] lr: 2.344e-06, eta: 0:42:34, time: 0.180, data_time: 0.006, memory: 52390, decode.loss_ce: 0.2085, decode.acc_seg: 91.6411, loss: 0.2085 +2023-03-05 00:17:34,182 - mmseg - INFO - Iter [66850/80000] lr: 2.344e-06, eta: 0:42:25, time: 0.182, data_time: 0.006, memory: 52390, decode.loss_ce: 0.2107, decode.acc_seg: 91.3323, loss: 0.2107 +2023-03-05 00:17:42,952 - mmseg - INFO - Iter [66900/80000] lr: 2.344e-06, eta: 0:42:15, time: 0.175, data_time: 0.006, memory: 52390, decode.loss_ce: 0.2262, decode.acc_seg: 90.8297, loss: 0.2262 +2023-03-05 00:17:51,996 - mmseg - INFO - Iter [66950/80000] lr: 2.344e-06, eta: 0:42:05, time: 0.181, data_time: 0.006, memory: 52390, decode.loss_ce: 0.2117, decode.acc_seg: 91.3416, loss: 0.2117 +2023-03-05 00:18:00,875 - mmseg - INFO - Exp name: ablation_segformer_mit_b2_segformer_head_unet_fc_single_step_ade_pretrained_freeze_embed_80k_ade20k151_logits.py +2023-03-05 00:18:00,875 - mmseg - INFO - Iter [67000/80000] lr: 2.344e-06, eta: 0:41:55, time: 0.178, data_time: 0.007, memory: 52390, decode.loss_ce: 0.2148, decode.acc_seg: 91.2193, loss: 0.2148 +2023-03-05 00:18:09,843 - mmseg - INFO - Iter [67050/80000] lr: 2.344e-06, eta: 0:41:45, time: 0.180, data_time: 0.006, memory: 52390, decode.loss_ce: 0.2088, decode.acc_seg: 91.4370, loss: 0.2088 +2023-03-05 00:18:19,053 - mmseg - INFO - Iter [67100/80000] lr: 2.344e-06, eta: 0:41:35, time: 0.184, data_time: 0.006, memory: 52390, decode.loss_ce: 0.2099, decode.acc_seg: 91.4775, loss: 0.2099 +2023-03-05 00:18:27,697 - mmseg - INFO - Iter [67150/80000] lr: 2.344e-06, eta: 0:41:26, time: 0.173, data_time: 0.006, memory: 52390, decode.loss_ce: 0.2123, decode.acc_seg: 91.3076, loss: 0.2123 +2023-03-05 00:18:36,868 - mmseg - INFO - Iter [67200/80000] lr: 2.344e-06, eta: 0:41:16, time: 0.183, data_time: 0.006, memory: 52390, decode.loss_ce: 0.2161, decode.acc_seg: 91.1521, loss: 0.2161 +2023-03-05 00:18:45,769 - mmseg - INFO - Iter [67250/80000] lr: 2.344e-06, eta: 0:41:06, time: 0.178, data_time: 0.006, memory: 52390, decode.loss_ce: 0.2075, decode.acc_seg: 91.3861, loss: 0.2075 +2023-03-05 00:18:54,531 - mmseg - INFO - Iter [67300/80000] lr: 2.344e-06, eta: 0:40:56, time: 0.176, data_time: 0.007, memory: 52390, decode.loss_ce: 0.2060, decode.acc_seg: 91.6265, loss: 0.2060 +2023-03-05 00:19:05,719 - mmseg - INFO - Iter [67350/80000] lr: 2.344e-06, eta: 0:40:47, time: 0.223, data_time: 0.053, memory: 52390, decode.loss_ce: 0.2043, decode.acc_seg: 91.5143, loss: 0.2043 +2023-03-05 00:19:14,751 - mmseg - INFO - Iter [67400/80000] lr: 2.344e-06, eta: 0:40:37, time: 0.181, data_time: 0.007, memory: 52390, decode.loss_ce: 0.2001, decode.acc_seg: 91.7091, loss: 0.2001 +2023-03-05 00:19:24,047 - mmseg - INFO - Iter [67450/80000] lr: 2.344e-06, eta: 0:40:27, time: 0.186, data_time: 0.006, memory: 52390, decode.loss_ce: 0.2102, decode.acc_seg: 91.4733, loss: 0.2102 +2023-03-05 00:19:33,023 - mmseg - INFO - Iter [67500/80000] lr: 2.344e-06, eta: 0:40:17, time: 0.180, data_time: 0.007, memory: 52390, decode.loss_ce: 0.1980, decode.acc_seg: 91.8098, loss: 0.1980 +2023-03-05 00:19:42,030 - mmseg - INFO - Iter [67550/80000] lr: 2.344e-06, eta: 0:40:08, time: 0.180, data_time: 0.006, memory: 52390, decode.loss_ce: 0.2105, decode.acc_seg: 91.2576, loss: 0.2105 +2023-03-05 00:19:50,982 - mmseg - INFO - Iter [67600/80000] lr: 2.344e-06, eta: 0:39:58, time: 0.179, data_time: 0.007, memory: 52390, decode.loss_ce: 0.2152, decode.acc_seg: 91.3164, loss: 0.2152 +2023-03-05 00:19:59,734 - mmseg - INFO - Iter [67650/80000] lr: 2.344e-06, eta: 0:39:48, time: 0.175, data_time: 0.006, memory: 52390, decode.loss_ce: 0.2130, decode.acc_seg: 91.1907, loss: 0.2130 +2023-03-05 00:20:09,029 - mmseg - INFO - Iter [67700/80000] lr: 2.344e-06, eta: 0:39:38, time: 0.186, data_time: 0.007, memory: 52390, decode.loss_ce: 0.2054, decode.acc_seg: 91.5440, loss: 0.2054 +2023-03-05 00:20:17,905 - mmseg - INFO - Iter [67750/80000] lr: 2.344e-06, eta: 0:39:28, time: 0.178, data_time: 0.006, memory: 52390, decode.loss_ce: 0.2072, decode.acc_seg: 91.6433, loss: 0.2072 +2023-03-05 00:20:27,273 - mmseg - INFO - Iter [67800/80000] lr: 2.344e-06, eta: 0:39:19, time: 0.187, data_time: 0.007, memory: 52390, decode.loss_ce: 0.2114, decode.acc_seg: 91.3497, loss: 0.2114 +2023-03-05 00:20:36,165 - mmseg - INFO - Iter [67850/80000] lr: 2.344e-06, eta: 0:39:09, time: 0.178, data_time: 0.006, memory: 52390, decode.loss_ce: 0.2141, decode.acc_seg: 91.2334, loss: 0.2141 +2023-03-05 00:20:44,933 - mmseg - INFO - Iter [67900/80000] lr: 2.344e-06, eta: 0:38:59, time: 0.175, data_time: 0.006, memory: 52390, decode.loss_ce: 0.2213, decode.acc_seg: 90.8035, loss: 0.2213 +2023-03-05 00:20:56,450 - mmseg - INFO - Iter [67950/80000] lr: 2.344e-06, eta: 0:38:50, time: 0.230, data_time: 0.054, memory: 52390, decode.loss_ce: 0.1973, decode.acc_seg: 91.8970, loss: 0.1973 +2023-03-05 00:21:05,991 - mmseg - INFO - Exp name: ablation_segformer_mit_b2_segformer_head_unet_fc_single_step_ade_pretrained_freeze_embed_80k_ade20k151_logits.py +2023-03-05 00:21:05,991 - mmseg - INFO - Iter [68000/80000] lr: 2.344e-06, eta: 0:38:40, time: 0.191, data_time: 0.007, memory: 52390, decode.loss_ce: 0.2196, decode.acc_seg: 91.1124, loss: 0.2196 +2023-03-05 00:21:14,942 - mmseg - INFO - Iter [68050/80000] lr: 2.344e-06, eta: 0:38:30, time: 0.179, data_time: 0.007, memory: 52390, decode.loss_ce: 0.2196, decode.acc_seg: 91.1934, loss: 0.2196 +2023-03-05 00:21:24,072 - mmseg - INFO - Iter [68100/80000] lr: 2.344e-06, eta: 0:38:20, time: 0.182, data_time: 0.006, memory: 52390, decode.loss_ce: 0.2152, decode.acc_seg: 91.2895, loss: 0.2152 +2023-03-05 00:21:33,275 - mmseg - INFO - Iter [68150/80000] lr: 2.344e-06, eta: 0:38:11, time: 0.184, data_time: 0.007, memory: 52390, decode.loss_ce: 0.2011, decode.acc_seg: 91.7452, loss: 0.2011 +2023-03-05 00:21:41,814 - mmseg - INFO - Iter [68200/80000] lr: 2.344e-06, eta: 0:38:01, time: 0.171, data_time: 0.006, memory: 52390, decode.loss_ce: 0.2175, decode.acc_seg: 91.1100, loss: 0.2175 +2023-03-05 00:21:50,766 - mmseg - INFO - Iter [68250/80000] lr: 2.344e-06, eta: 0:37:51, time: 0.179, data_time: 0.006, memory: 52390, decode.loss_ce: 0.2123, decode.acc_seg: 91.2678, loss: 0.2123 +2023-03-05 00:21:59,330 - mmseg - INFO - Iter [68300/80000] lr: 2.344e-06, eta: 0:37:41, time: 0.171, data_time: 0.006, memory: 52390, decode.loss_ce: 0.2078, decode.acc_seg: 91.5362, loss: 0.2078 +2023-03-05 00:22:08,115 - mmseg - INFO - Iter [68350/80000] lr: 2.344e-06, eta: 0:37:31, time: 0.176, data_time: 0.006, memory: 52390, decode.loss_ce: 0.2110, decode.acc_seg: 91.4514, loss: 0.2110 +2023-03-05 00:22:16,967 - mmseg - INFO - Iter [68400/80000] lr: 2.344e-06, eta: 0:37:21, time: 0.177, data_time: 0.006, memory: 52390, decode.loss_ce: 0.2040, decode.acc_seg: 91.7131, loss: 0.2040 +2023-03-05 00:22:25,565 - mmseg - INFO - Iter [68450/80000] lr: 2.344e-06, eta: 0:37:11, time: 0.172, data_time: 0.006, memory: 52390, decode.loss_ce: 0.2234, decode.acc_seg: 90.9675, loss: 0.2234 +2023-03-05 00:22:34,648 - mmseg - INFO - Iter [68500/80000] lr: 2.344e-06, eta: 0:37:02, time: 0.182, data_time: 0.006, memory: 52390, decode.loss_ce: 0.2057, decode.acc_seg: 91.5847, loss: 0.2057 +2023-03-05 00:22:43,959 - mmseg - INFO - Iter [68550/80000] lr: 2.344e-06, eta: 0:36:52, time: 0.186, data_time: 0.006, memory: 52390, decode.loss_ce: 0.2146, decode.acc_seg: 91.3503, loss: 0.2146 +2023-03-05 00:22:55,433 - mmseg - INFO - Iter [68600/80000] lr: 2.344e-06, eta: 0:36:43, time: 0.230, data_time: 0.058, memory: 52390, decode.loss_ce: 0.2074, decode.acc_seg: 91.5341, loss: 0.2074 +2023-03-05 00:23:04,555 - mmseg - INFO - Iter [68650/80000] lr: 2.344e-06, eta: 0:36:33, time: 0.182, data_time: 0.006, memory: 52390, decode.loss_ce: 0.2046, decode.acc_seg: 91.6955, loss: 0.2046 +2023-03-05 00:23:13,918 - mmseg - INFO - Iter [68700/80000] lr: 2.344e-06, eta: 0:36:23, time: 0.187, data_time: 0.006, memory: 52390, decode.loss_ce: 0.2136, decode.acc_seg: 91.3183, loss: 0.2136 +2023-03-05 00:23:22,954 - mmseg - INFO - Iter [68750/80000] lr: 2.344e-06, eta: 0:36:13, time: 0.181, data_time: 0.007, memory: 52390, decode.loss_ce: 0.2042, decode.acc_seg: 91.6701, loss: 0.2042 +2023-03-05 00:23:32,194 - mmseg - INFO - Iter [68800/80000] lr: 2.344e-06, eta: 0:36:04, time: 0.185, data_time: 0.007, memory: 52390, decode.loss_ce: 0.2123, decode.acc_seg: 91.2991, loss: 0.2123 +2023-03-05 00:23:41,369 - mmseg - INFO - Iter [68850/80000] lr: 2.344e-06, eta: 0:35:54, time: 0.183, data_time: 0.006, memory: 52390, decode.loss_ce: 0.2232, decode.acc_seg: 90.9427, loss: 0.2232 +2023-03-05 00:23:50,366 - mmseg - INFO - Iter [68900/80000] lr: 2.344e-06, eta: 0:35:44, time: 0.180, data_time: 0.006, memory: 52390, decode.loss_ce: 0.2023, decode.acc_seg: 91.7046, loss: 0.2023 +2023-03-05 00:23:59,693 - mmseg - INFO - Iter [68950/80000] lr: 2.344e-06, eta: 0:35:34, time: 0.186, data_time: 0.007, memory: 52390, decode.loss_ce: 0.2055, decode.acc_seg: 91.5459, loss: 0.2055 +2023-03-05 00:24:08,946 - mmseg - INFO - Exp name: ablation_segformer_mit_b2_segformer_head_unet_fc_single_step_ade_pretrained_freeze_embed_80k_ade20k151_logits.py +2023-03-05 00:24:08,946 - mmseg - INFO - Iter [69000/80000] lr: 2.344e-06, eta: 0:35:25, time: 0.185, data_time: 0.007, memory: 52390, decode.loss_ce: 0.2085, decode.acc_seg: 91.4680, loss: 0.2085 +2023-03-05 00:24:17,541 - mmseg - INFO - Iter [69050/80000] lr: 2.344e-06, eta: 0:35:15, time: 0.172, data_time: 0.006, memory: 52390, decode.loss_ce: 0.2086, decode.acc_seg: 91.5540, loss: 0.2086 +2023-03-05 00:24:26,764 - mmseg - INFO - Iter [69100/80000] lr: 2.344e-06, eta: 0:35:05, time: 0.184, data_time: 0.007, memory: 52390, decode.loss_ce: 0.2041, decode.acc_seg: 91.5153, loss: 0.2041 +2023-03-05 00:24:35,682 - mmseg - INFO - Iter [69150/80000] lr: 2.344e-06, eta: 0:34:55, time: 0.178, data_time: 0.006, memory: 52390, decode.loss_ce: 0.2073, decode.acc_seg: 91.4995, loss: 0.2073 +2023-03-05 00:24:44,497 - mmseg - INFO - Iter [69200/80000] lr: 2.344e-06, eta: 0:34:45, time: 0.176, data_time: 0.006, memory: 52390, decode.loss_ce: 0.2015, decode.acc_seg: 91.6900, loss: 0.2015 +2023-03-05 00:24:55,832 - mmseg - INFO - Iter [69250/80000] lr: 2.344e-06, eta: 0:34:36, time: 0.226, data_time: 0.054, memory: 52390, decode.loss_ce: 0.2045, decode.acc_seg: 91.5865, loss: 0.2045 +2023-03-05 00:25:04,553 - mmseg - INFO - Iter [69300/80000] lr: 2.344e-06, eta: 0:34:26, time: 0.174, data_time: 0.007, memory: 52390, decode.loss_ce: 0.2075, decode.acc_seg: 91.4464, loss: 0.2075 +2023-03-05 00:25:13,673 - mmseg - INFO - Iter [69350/80000] lr: 2.344e-06, eta: 0:34:17, time: 0.183, data_time: 0.007, memory: 52390, decode.loss_ce: 0.2076, decode.acc_seg: 91.4653, loss: 0.2076 +2023-03-05 00:25:22,717 - mmseg - INFO - Iter [69400/80000] lr: 2.344e-06, eta: 0:34:07, time: 0.181, data_time: 0.006, memory: 52390, decode.loss_ce: 0.2106, decode.acc_seg: 91.3455, loss: 0.2106 +2023-03-05 00:25:31,525 - mmseg - INFO - Iter [69450/80000] lr: 2.344e-06, eta: 0:33:57, time: 0.176, data_time: 0.006, memory: 52390, decode.loss_ce: 0.2182, decode.acc_seg: 91.1029, loss: 0.2182 +2023-03-05 00:25:40,227 - mmseg - INFO - Iter [69500/80000] lr: 2.344e-06, eta: 0:33:47, time: 0.174, data_time: 0.006, memory: 52390, decode.loss_ce: 0.2095, decode.acc_seg: 91.4102, loss: 0.2095 +2023-03-05 00:25:48,945 - mmseg - INFO - Iter [69550/80000] lr: 2.344e-06, eta: 0:33:37, time: 0.174, data_time: 0.006, memory: 52390, decode.loss_ce: 0.2148, decode.acc_seg: 91.1704, loss: 0.2148 +2023-03-05 00:25:57,911 - mmseg - INFO - Iter [69600/80000] lr: 2.344e-06, eta: 0:33:28, time: 0.180, data_time: 0.006, memory: 52390, decode.loss_ce: 0.2172, decode.acc_seg: 91.2883, loss: 0.2172 +2023-03-05 00:26:06,486 - mmseg - INFO - Iter [69650/80000] lr: 2.344e-06, eta: 0:33:18, time: 0.171, data_time: 0.006, memory: 52390, decode.loss_ce: 0.2131, decode.acc_seg: 91.3526, loss: 0.2131 +2023-03-05 00:26:15,166 - mmseg - INFO - Iter [69700/80000] lr: 2.344e-06, eta: 0:33:08, time: 0.174, data_time: 0.007, memory: 52390, decode.loss_ce: 0.2156, decode.acc_seg: 91.2271, loss: 0.2156 +2023-03-05 00:26:24,034 - mmseg - INFO - Iter [69750/80000] lr: 2.344e-06, eta: 0:32:58, time: 0.177, data_time: 0.007, memory: 52390, decode.loss_ce: 0.2190, decode.acc_seg: 91.2658, loss: 0.2190 +2023-03-05 00:26:32,900 - mmseg - INFO - Iter [69800/80000] lr: 2.344e-06, eta: 0:32:48, time: 0.177, data_time: 0.006, memory: 52390, decode.loss_ce: 0.2101, decode.acc_seg: 91.3667, loss: 0.2101 +2023-03-05 00:26:43,931 - mmseg - INFO - Iter [69850/80000] lr: 2.344e-06, eta: 0:32:39, time: 0.221, data_time: 0.052, memory: 52390, decode.loss_ce: 0.2158, decode.acc_seg: 91.3178, loss: 0.2158 +2023-03-05 00:26:52,613 - mmseg - INFO - Iter [69900/80000] lr: 2.344e-06, eta: 0:32:29, time: 0.174, data_time: 0.006, memory: 52390, decode.loss_ce: 0.2132, decode.acc_seg: 91.2470, loss: 0.2132 +2023-03-05 00:27:01,625 - mmseg - INFO - Iter [69950/80000] lr: 2.344e-06, eta: 0:32:19, time: 0.180, data_time: 0.006, memory: 52390, decode.loss_ce: 0.2113, decode.acc_seg: 91.1481, loss: 0.2113 +2023-03-05 00:27:10,242 - mmseg - INFO - Exp name: ablation_segformer_mit_b2_segformer_head_unet_fc_single_step_ade_pretrained_freeze_embed_80k_ade20k151_logits.py +2023-03-05 00:27:10,242 - mmseg - INFO - Iter [70000/80000] lr: 2.344e-06, eta: 0:32:10, time: 0.172, data_time: 0.007, memory: 52390, decode.loss_ce: 0.2099, decode.acc_seg: 91.2180, loss: 0.2099 +2023-03-05 00:27:18,887 - mmseg - INFO - Iter [70050/80000] lr: 1.172e-06, eta: 0:32:00, time: 0.173, data_time: 0.006, memory: 52390, decode.loss_ce: 0.2163, decode.acc_seg: 91.2933, loss: 0.2163 +2023-03-05 00:27:27,716 - mmseg - INFO - Iter [70100/80000] lr: 1.172e-06, eta: 0:31:50, time: 0.177, data_time: 0.007, memory: 52390, decode.loss_ce: 0.2003, decode.acc_seg: 91.7270, loss: 0.2003 +2023-03-05 00:27:36,490 - mmseg - INFO - Iter [70150/80000] lr: 1.172e-06, eta: 0:31:40, time: 0.176, data_time: 0.007, memory: 52390, decode.loss_ce: 0.2134, decode.acc_seg: 91.4383, loss: 0.2134 +2023-03-05 00:27:45,812 - mmseg - INFO - Iter [70200/80000] lr: 1.172e-06, eta: 0:31:30, time: 0.186, data_time: 0.007, memory: 52390, decode.loss_ce: 0.2077, decode.acc_seg: 91.4271, loss: 0.2077 +2023-03-05 00:27:54,655 - mmseg - INFO - Iter [70250/80000] lr: 1.172e-06, eta: 0:31:21, time: 0.177, data_time: 0.006, memory: 52390, decode.loss_ce: 0.2159, decode.acc_seg: 91.3902, loss: 0.2159 +2023-03-05 00:28:03,738 - mmseg - INFO - Iter [70300/80000] lr: 1.172e-06, eta: 0:31:11, time: 0.181, data_time: 0.006, memory: 52390, decode.loss_ce: 0.2069, decode.acc_seg: 91.6558, loss: 0.2069 +2023-03-05 00:28:12,661 - mmseg - INFO - Iter [70350/80000] lr: 1.172e-06, eta: 0:31:01, time: 0.179, data_time: 0.007, memory: 52390, decode.loss_ce: 0.2019, decode.acc_seg: 91.7362, loss: 0.2019 +2023-03-05 00:28:21,147 - mmseg - INFO - Iter [70400/80000] lr: 1.172e-06, eta: 0:30:51, time: 0.170, data_time: 0.006, memory: 52390, decode.loss_ce: 0.2082, decode.acc_seg: 91.5318, loss: 0.2082 +2023-03-05 00:28:30,149 - mmseg - INFO - Iter [70450/80000] lr: 1.172e-06, eta: 0:30:42, time: 0.180, data_time: 0.007, memory: 52390, decode.loss_ce: 0.2183, decode.acc_seg: 91.1230, loss: 0.2183 +2023-03-05 00:28:41,543 - mmseg - INFO - Iter [70500/80000] lr: 1.172e-06, eta: 0:30:32, time: 0.228, data_time: 0.052, memory: 52390, decode.loss_ce: 0.2133, decode.acc_seg: 91.3376, loss: 0.2133 +2023-03-05 00:28:50,598 - mmseg - INFO - Iter [70550/80000] lr: 1.172e-06, eta: 0:30:22, time: 0.181, data_time: 0.007, memory: 52390, decode.loss_ce: 0.2096, decode.acc_seg: 91.5225, loss: 0.2096 +2023-03-05 00:28:59,593 - mmseg - INFO - Iter [70600/80000] lr: 1.172e-06, eta: 0:30:13, time: 0.180, data_time: 0.006, memory: 52390, decode.loss_ce: 0.2092, decode.acc_seg: 91.4298, loss: 0.2092 +2023-03-05 00:29:08,921 - mmseg - INFO - Iter [70650/80000] lr: 1.172e-06, eta: 0:30:03, time: 0.187, data_time: 0.007, memory: 52390, decode.loss_ce: 0.2005, decode.acc_seg: 91.8761, loss: 0.2005 +2023-03-05 00:29:17,850 - mmseg - INFO - Iter [70700/80000] lr: 1.172e-06, eta: 0:29:53, time: 0.179, data_time: 0.006, memory: 52390, decode.loss_ce: 0.1963, decode.acc_seg: 92.0733, loss: 0.1963 +2023-03-05 00:29:26,407 - mmseg - INFO - Iter [70750/80000] lr: 1.172e-06, eta: 0:29:44, time: 0.171, data_time: 0.006, memory: 52390, decode.loss_ce: 0.2117, decode.acc_seg: 91.2010, loss: 0.2117 +2023-03-05 00:29:35,361 - mmseg - INFO - Iter [70800/80000] lr: 1.172e-06, eta: 0:29:34, time: 0.179, data_time: 0.006, memory: 52390, decode.loss_ce: 0.2023, decode.acc_seg: 91.6752, loss: 0.2023 +2023-03-05 00:29:43,960 - mmseg - INFO - Iter [70850/80000] lr: 1.172e-06, eta: 0:29:24, time: 0.172, data_time: 0.007, memory: 52390, decode.loss_ce: 0.2127, decode.acc_seg: 91.2926, loss: 0.2127 +2023-03-05 00:29:52,737 - mmseg - INFO - Iter [70900/80000] lr: 1.172e-06, eta: 0:29:14, time: 0.176, data_time: 0.007, memory: 52390, decode.loss_ce: 0.2186, decode.acc_seg: 91.1560, loss: 0.2186 +2023-03-05 00:30:01,307 - mmseg - INFO - Iter [70950/80000] lr: 1.172e-06, eta: 0:29:04, time: 0.171, data_time: 0.006, memory: 52390, decode.loss_ce: 0.2112, decode.acc_seg: 91.3788, loss: 0.2112 +2023-03-05 00:30:09,865 - mmseg - INFO - Exp name: ablation_segformer_mit_b2_segformer_head_unet_fc_single_step_ade_pretrained_freeze_embed_80k_ade20k151_logits.py +2023-03-05 00:30:09,865 - mmseg - INFO - Iter [71000/80000] lr: 1.172e-06, eta: 0:28:55, time: 0.171, data_time: 0.006, memory: 52390, decode.loss_ce: 0.2067, decode.acc_seg: 91.6854, loss: 0.2067 +2023-03-05 00:30:18,658 - mmseg - INFO - Iter [71050/80000] lr: 1.172e-06, eta: 0:28:45, time: 0.176, data_time: 0.006, memory: 52390, decode.loss_ce: 0.2060, decode.acc_seg: 91.5035, loss: 0.2060 +2023-03-05 00:30:30,114 - mmseg - INFO - Iter [71100/80000] lr: 1.172e-06, eta: 0:28:35, time: 0.229, data_time: 0.053, memory: 52390, decode.loss_ce: 0.2103, decode.acc_seg: 91.3745, loss: 0.2103 +2023-03-05 00:30:39,152 - mmseg - INFO - Iter [71150/80000] lr: 1.172e-06, eta: 0:28:26, time: 0.180, data_time: 0.006, memory: 52390, decode.loss_ce: 0.2218, decode.acc_seg: 91.0390, loss: 0.2218 +2023-03-05 00:30:47,994 - mmseg - INFO - Iter [71200/80000] lr: 1.172e-06, eta: 0:28:16, time: 0.177, data_time: 0.007, memory: 52390, decode.loss_ce: 0.2082, decode.acc_seg: 91.3943, loss: 0.2082 +2023-03-05 00:30:56,651 - mmseg - INFO - Iter [71250/80000] lr: 1.172e-06, eta: 0:28:06, time: 0.173, data_time: 0.007, memory: 52390, decode.loss_ce: 0.2077, decode.acc_seg: 91.4481, loss: 0.2077 +2023-03-05 00:31:05,749 - mmseg - INFO - Iter [71300/80000] lr: 1.172e-06, eta: 0:27:57, time: 0.182, data_time: 0.006, memory: 52390, decode.loss_ce: 0.2151, decode.acc_seg: 91.1739, loss: 0.2151 +2023-03-05 00:31:14,412 - mmseg - INFO - Iter [71350/80000] lr: 1.172e-06, eta: 0:27:47, time: 0.173, data_time: 0.006, memory: 52390, decode.loss_ce: 0.2078, decode.acc_seg: 91.4820, loss: 0.2078 +2023-03-05 00:31:23,089 - mmseg - INFO - Iter [71400/80000] lr: 1.172e-06, eta: 0:27:37, time: 0.173, data_time: 0.006, memory: 52390, decode.loss_ce: 0.2133, decode.acc_seg: 91.2838, loss: 0.2133 +2023-03-05 00:31:31,728 - mmseg - INFO - Iter [71450/80000] lr: 1.172e-06, eta: 0:27:27, time: 0.173, data_time: 0.006, memory: 52390, decode.loss_ce: 0.2099, decode.acc_seg: 91.3499, loss: 0.2099 +2023-03-05 00:31:40,973 - mmseg - INFO - Iter [71500/80000] lr: 1.172e-06, eta: 0:27:18, time: 0.185, data_time: 0.006, memory: 52390, decode.loss_ce: 0.2139, decode.acc_seg: 91.1191, loss: 0.2139 +2023-03-05 00:31:49,684 - mmseg - INFO - Iter [71550/80000] lr: 1.172e-06, eta: 0:27:08, time: 0.174, data_time: 0.007, memory: 52390, decode.loss_ce: 0.2024, decode.acc_seg: 91.7759, loss: 0.2024 +2023-03-05 00:31:58,336 - mmseg - INFO - Iter [71600/80000] lr: 1.172e-06, eta: 0:26:58, time: 0.173, data_time: 0.007, memory: 52390, decode.loss_ce: 0.2093, decode.acc_seg: 91.4908, loss: 0.2093 +2023-03-05 00:32:06,972 - mmseg - INFO - Iter [71650/80000] lr: 1.172e-06, eta: 0:26:48, time: 0.173, data_time: 0.006, memory: 52390, decode.loss_ce: 0.1976, decode.acc_seg: 91.7627, loss: 0.1976 +2023-03-05 00:32:15,766 - mmseg - INFO - Iter [71700/80000] lr: 1.172e-06, eta: 0:26:38, time: 0.176, data_time: 0.006, memory: 52390, decode.loss_ce: 0.2053, decode.acc_seg: 91.6169, loss: 0.2053 +2023-03-05 00:32:27,195 - mmseg - INFO - Iter [71750/80000] lr: 1.172e-06, eta: 0:26:29, time: 0.228, data_time: 0.055, memory: 52390, decode.loss_ce: 0.2227, decode.acc_seg: 90.9332, loss: 0.2227 +2023-03-05 00:32:35,965 - mmseg - INFO - Iter [71800/80000] lr: 1.172e-06, eta: 0:26:19, time: 0.176, data_time: 0.007, memory: 52390, decode.loss_ce: 0.2038, decode.acc_seg: 91.6252, loss: 0.2038 +2023-03-05 00:32:44,450 - mmseg - INFO - Iter [71850/80000] lr: 1.172e-06, eta: 0:26:10, time: 0.170, data_time: 0.006, memory: 52390, decode.loss_ce: 0.2114, decode.acc_seg: 91.3467, loss: 0.2114 +2023-03-05 00:32:53,719 - mmseg - INFO - Iter [71900/80000] lr: 1.172e-06, eta: 0:26:00, time: 0.185, data_time: 0.007, memory: 52390, decode.loss_ce: 0.2077, decode.acc_seg: 91.5593, loss: 0.2077 +2023-03-05 00:33:03,317 - mmseg - INFO - Iter [71950/80000] lr: 1.172e-06, eta: 0:25:50, time: 0.192, data_time: 0.007, memory: 52390, decode.loss_ce: 0.2193, decode.acc_seg: 91.0134, loss: 0.2193 +2023-03-05 00:33:12,308 - mmseg - INFO - Saving checkpoint at 72000 iterations +2023-03-05 00:33:12,968 - mmseg - INFO - Exp name: ablation_segformer_mit_b2_segformer_head_unet_fc_single_step_ade_pretrained_freeze_embed_80k_ade20k151_logits.py +2023-03-05 00:33:12,968 - mmseg - INFO - Iter [72000/80000] lr: 1.172e-06, eta: 0:25:41, time: 0.193, data_time: 0.007, memory: 52390, decode.loss_ce: 0.1945, decode.acc_seg: 91.8773, loss: 0.1945 +2023-03-05 00:33:28,499 - mmseg - INFO - per class results: +2023-03-05 00:33:28,505 - mmseg - INFO - ++---------------------+-------+-------+ +| Class | IoU | Acc | ++---------------------+-------+-------+ +| background | nan | nan | +| wall | 76.66 | 89.22 | +| building | 81.34 | 91.39 | +| sky | 94.33 | 97.36 | +| floor | 81.17 | 90.53 | +| tree | 73.5 | 87.81 | +| ceiling | 84.41 | 92.77 | +| road | 81.74 | 90.47 | +| bed | 86.77 | 94.95 | +| windowpane | 59.72 | 77.18 | +| grass | 65.75 | 82.01 | +| cabinet | 59.86 | 72.51 | +| sidewalk | 63.45 | 79.37 | +| person | 78.24 | 91.61 | +| earth | 35.29 | 48.42 | +| door | 43.68 | 55.65 | +| table | 58.37 | 75.37 | +| mountain | 55.88 | 70.15 | +| plant | 49.4 | 60.09 | +| curtain | 72.91 | 82.54 | +| chair | 53.82 | 66.68 | +| car | 80.65 | 92.21 | +| water | 58.02 | 75.81 | +| painting | 69.79 | 83.96 | +| sofa | 62.94 | 81.17 | +| shelf | 42.97 | 62.08 | +| house | 43.55 | 60.51 | +| sea | 60.93 | 76.69 | +| mirror | 63.49 | 72.91 | +| rug | 65.08 | 73.97 | +| field | 29.31 | 45.29 | +| armchair | 36.47 | 53.88 | +| seat | 66.08 | 81.87 | +| fence | 40.76 | 53.12 | +| desk | 45.71 | 66.21 | +| rock | 37.25 | 61.27 | +| wardrobe | 56.45 | 67.71 | +| lamp | 58.67 | 72.56 | +| bathtub | 76.02 | 83.63 | +| railing | 33.08 | 45.17 | +| cushion | 55.59 | 70.07 | +| base | 22.52 | 27.75 | +| box | 21.53 | 28.14 | +| column | 45.57 | 56.85 | +| signboard | 37.21 | 50.57 | +| chest of drawers | 36.66 | 56.71 | +| counter | 30.65 | 40.14 | +| sand | 42.02 | 59.24 | +| sink | 64.74 | 76.12 | +| skyscraper | 50.39 | 63.19 | +| fireplace | 72.7 | 86.13 | +| refrigerator | 71.05 | 83.21 | +| grandstand | 48.74 | 62.05 | +| path | 21.64 | 28.83 | +| stairs | 32.71 | 40.88 | +| runway | 67.25 | 86.45 | +| case | 48.46 | 59.62 | +| pool table | 91.39 | 94.49 | +| pillow | 60.1 | 70.66 | +| screen door | 64.63 | 71.93 | +| stairway | 23.03 | 35.2 | +| river | 11.63 | 21.85 | +| bridge | 34.81 | 40.87 | +| bookcase | 44.21 | 63.09 | +| blind | 40.31 | 44.74 | +| coffee table | 51.99 | 77.64 | +| toilet | 81.71 | 89.6 | +| flower | 37.36 | 53.09 | +| book | 43.04 | 62.01 | +| hill | 14.07 | 22.23 | +| bench | 40.31 | 53.67 | +| countertop | 53.01 | 70.54 | +| stove | 69.81 | 81.15 | +| palm | 49.14 | 69.45 | +| kitchen island | 38.47 | 62.48 | +| computer | 59.8 | 69.06 | +| swivel chair | 42.91 | 58.8 | +| boat | 69.26 | 84.59 | +| bar | 23.07 | 31.82 | +| arcade machine | 69.83 | 71.82 | +| hovel | 25.58 | 28.87 | +| bus | 78.65 | 90.32 | +| towel | 62.1 | 71.47 | +| light | 48.26 | 53.68 | +| truck | 14.9 | 19.78 | +| tower | 7.54 | 12.05 | +| chandelier | 62.53 | 77.28 | +| awning | 24.54 | 28.94 | +| streetlight | 23.5 | 30.49 | +| booth | 41.18 | 42.36 | +| television receiver | 63.47 | 75.75 | +| airplane | 57.08 | 62.94 | +| dirt track | 16.01 | 46.38 | +| apparel | 32.47 | 51.37 | +| pole | 18.12 | 23.3 | +| land | 2.87 | 3.8 | +| bannister | 10.62 | 14.53 | +| escalator | 23.09 | 24.83 | +| ottoman | 41.47 | 61.77 | +| bottle | 33.72 | 53.54 | +| buffet | 40.9 | 47.42 | +| poster | 22.7 | 31.31 | +| stage | 13.1 | 17.11 | +| van | 38.2 | 52.9 | +| ship | 76.78 | 93.49 | +| fountain | 16.24 | 16.69 | +| conveyer belt | 83.02 | 88.86 | +| canopy | 27.63 | 29.89 | +| washer | 78.86 | 81.23 | +| plaything | 20.72 | 30.11 | +| swimming pool | 75.05 | 80.9 | +| stool | 40.97 | 55.53 | +| barrel | 40.17 | 61.3 | +| basket | 24.74 | 38.72 | +| waterfall | 51.33 | 68.05 | +| tent | 93.97 | 97.38 | +| bag | 15.33 | 19.15 | +| minibike | 61.08 | 76.05 | +| cradle | 82.47 | 96.49 | +| oven | 48.13 | 62.48 | +| ball | 44.82 | 52.33 | +| food | 50.46 | 60.84 | +| step | 6.01 | 7.0 | +| tank | 51.42 | 56.82 | +| trade name | 25.91 | 29.25 | +| microwave | 75.69 | 82.48 | +| pot | 29.3 | 32.91 | +| animal | 53.44 | 59.16 | +| bicycle | 52.69 | 66.53 | +| lake | 57.18 | 62.85 | +| dishwasher | 65.49 | 76.11 | +| screen | 67.03 | 79.84 | +| blanket | 15.58 | 17.76 | +| sculpture | 56.19 | 78.56 | +| hood | 53.77 | 58.8 | +| sconce | 40.92 | 48.54 | +| vase | 30.7 | 47.49 | +| traffic light | 30.25 | 42.63 | +| tray | 4.62 | 7.2 | +| ashcan | 39.64 | 49.26 | +| fan | 56.0 | 67.13 | +| pier | 48.6 | 68.4 | +| crt screen | 8.95 | 23.17 | +| plate | 47.98 | 64.96 | +| monitor | 14.42 | 17.1 | +| bulletin board | 36.65 | 48.41 | +| shower | 1.27 | 4.99 | +| radiator | 55.72 | 61.88 | +| glass | 11.08 | 12.16 | +| clock | 31.99 | 35.01 | +| flag | 34.07 | 37.19 | ++---------------------+-------+-------+ +2023-03-05 00:33:28,505 - mmseg - INFO - Summary: +2023-03-05 00:33:28,505 - mmseg - INFO - ++-------+-------+-------+ +| aAcc | mIoU | mAcc | ++-------+-------+-------+ +| 82.29 | 47.36 | 58.39 | ++-------+-------+-------+ +2023-03-05 00:33:28,528 - mmseg - INFO - The previous best checkpoint /mnt/petrelfs/laizeqiang/mmseg-baseline/work_dirs2/ablation_segformer_mit_b2_segformer_head_unet_fc_single_step_ade_pretrained_freeze_embed_80k_ade20k151_logits/best_mIoU_iter_64000.pth was removed +2023-03-05 00:33:29,122 - mmseg - INFO - Now best checkpoint is saved as best_mIoU_iter_72000.pth. +2023-03-05 00:33:29,122 - mmseg - INFO - Best mIoU is 0.4736 at 72000 iter. +2023-03-05 00:33:29,122 - mmseg - INFO - Exp name: ablation_segformer_mit_b2_segformer_head_unet_fc_single_step_ade_pretrained_freeze_embed_80k_ade20k151_logits.py +2023-03-05 00:33:29,123 - mmseg - INFO - Iter(val) [250] aAcc: 0.8229, mIoU: 0.4736, mAcc: 0.5839, IoU.background: nan, IoU.wall: 0.7666, IoU.building: 0.8134, IoU.sky: 0.9433, IoU.floor: 0.8117, IoU.tree: 0.7350, IoU.ceiling: 0.8441, IoU.road: 0.8174, IoU.bed : 0.8677, IoU.windowpane: 0.5972, IoU.grass: 0.6575, IoU.cabinet: 0.5986, IoU.sidewalk: 0.6345, IoU.person: 0.7824, IoU.earth: 0.3529, IoU.door: 0.4368, IoU.table: 0.5837, IoU.mountain: 0.5588, IoU.plant: 0.4940, IoU.curtain: 0.7291, IoU.chair: 0.5382, IoU.car: 0.8065, IoU.water: 0.5802, IoU.painting: 0.6979, IoU.sofa: 0.6294, IoU.shelf: 0.4297, IoU.house: 0.4355, IoU.sea: 0.6093, IoU.mirror: 0.6349, IoU.rug: 0.6508, IoU.field: 0.2931, IoU.armchair: 0.3647, IoU.seat: 0.6608, IoU.fence: 0.4076, IoU.desk: 0.4571, IoU.rock: 0.3725, IoU.wardrobe: 0.5645, IoU.lamp: 0.5867, IoU.bathtub: 0.7602, IoU.railing: 0.3308, IoU.cushion: 0.5559, IoU.base: 0.2252, IoU.box: 0.2153, IoU.column: 0.4557, IoU.signboard: 0.3721, IoU.chest of drawers: 0.3666, IoU.counter: 0.3065, IoU.sand: 0.4202, IoU.sink: 0.6474, IoU.skyscraper: 0.5039, IoU.fireplace: 0.7270, IoU.refrigerator: 0.7105, IoU.grandstand: 0.4874, IoU.path: 0.2164, IoU.stairs: 0.3271, IoU.runway: 0.6725, IoU.case: 0.4846, IoU.pool table: 0.9139, IoU.pillow: 0.6010, IoU.screen door: 0.6463, IoU.stairway: 0.2303, IoU.river: 0.1163, IoU.bridge: 0.3481, IoU.bookcase: 0.4421, IoU.blind: 0.4031, IoU.coffee table: 0.5199, IoU.toilet: 0.8171, IoU.flower: 0.3736, IoU.book: 0.4304, IoU.hill: 0.1407, IoU.bench: 0.4031, IoU.countertop: 0.5301, IoU.stove: 0.6981, IoU.palm: 0.4914, IoU.kitchen island: 0.3847, IoU.computer: 0.5980, IoU.swivel chair: 0.4291, IoU.boat: 0.6926, IoU.bar: 0.2307, IoU.arcade machine: 0.6983, IoU.hovel: 0.2558, IoU.bus: 0.7865, IoU.towel: 0.6210, IoU.light: 0.4826, IoU.truck: 0.1490, IoU.tower: 0.0754, IoU.chandelier: 0.6253, IoU.awning: 0.2454, IoU.streetlight: 0.2350, IoU.booth: 0.4118, IoU.television receiver: 0.6347, IoU.airplane: 0.5708, IoU.dirt track: 0.1601, IoU.apparel: 0.3247, IoU.pole: 0.1812, IoU.land: 0.0287, IoU.bannister: 0.1062, IoU.escalator: 0.2309, IoU.ottoman: 0.4147, IoU.bottle: 0.3372, IoU.buffet: 0.4090, IoU.poster: 0.2270, IoU.stage: 0.1310, IoU.van: 0.3820, IoU.ship: 0.7678, IoU.fountain: 0.1624, IoU.conveyer belt: 0.8302, IoU.canopy: 0.2763, IoU.washer: 0.7886, IoU.plaything: 0.2072, IoU.swimming pool: 0.7505, IoU.stool: 0.4097, IoU.barrel: 0.4017, IoU.basket: 0.2474, IoU.waterfall: 0.5133, IoU.tent: 0.9397, IoU.bag: 0.1533, IoU.minibike: 0.6108, IoU.cradle: 0.8247, IoU.oven: 0.4813, IoU.ball: 0.4482, IoU.food: 0.5046, IoU.step: 0.0601, IoU.tank: 0.5142, IoU.trade name: 0.2591, IoU.microwave: 0.7569, IoU.pot: 0.2930, IoU.animal: 0.5344, IoU.bicycle: 0.5269, IoU.lake: 0.5718, IoU.dishwasher: 0.6549, IoU.screen: 0.6703, IoU.blanket: 0.1558, IoU.sculpture: 0.5619, IoU.hood: 0.5377, IoU.sconce: 0.4092, IoU.vase: 0.3070, IoU.traffic light: 0.3025, IoU.tray: 0.0462, IoU.ashcan: 0.3964, IoU.fan: 0.5600, IoU.pier: 0.4860, IoU.crt screen: 0.0895, IoU.plate: 0.4798, IoU.monitor: 0.1442, IoU.bulletin board: 0.3665, IoU.shower: 0.0127, IoU.radiator: 0.5572, IoU.glass: 0.1108, IoU.clock: 0.3199, IoU.flag: 0.3407, Acc.background: nan, Acc.wall: 0.8922, Acc.building: 0.9139, Acc.sky: 0.9736, Acc.floor: 0.9053, Acc.tree: 0.8781, Acc.ceiling: 0.9277, Acc.road: 0.9047, Acc.bed : 0.9495, Acc.windowpane: 0.7718, Acc.grass: 0.8201, Acc.cabinet: 0.7251, Acc.sidewalk: 0.7937, Acc.person: 0.9161, Acc.earth: 0.4842, Acc.door: 0.5565, Acc.table: 0.7537, Acc.mountain: 0.7015, Acc.plant: 0.6009, Acc.curtain: 0.8254, Acc.chair: 0.6668, Acc.car: 0.9221, Acc.water: 0.7581, Acc.painting: 0.8396, Acc.sofa: 0.8117, Acc.shelf: 0.6208, Acc.house: 0.6051, Acc.sea: 0.7669, Acc.mirror: 0.7291, Acc.rug: 0.7397, Acc.field: 0.4529, Acc.armchair: 0.5388, Acc.seat: 0.8187, Acc.fence: 0.5312, Acc.desk: 0.6621, Acc.rock: 0.6127, Acc.wardrobe: 0.6771, Acc.lamp: 0.7256, Acc.bathtub: 0.8363, Acc.railing: 0.4517, Acc.cushion: 0.7007, Acc.base: 0.2775, Acc.box: 0.2814, Acc.column: 0.5685, Acc.signboard: 0.5057, Acc.chest of drawers: 0.5671, Acc.counter: 0.4014, Acc.sand: 0.5924, Acc.sink: 0.7612, Acc.skyscraper: 0.6319, Acc.fireplace: 0.8613, Acc.refrigerator: 0.8321, Acc.grandstand: 0.6205, Acc.path: 0.2883, Acc.stairs: 0.4088, Acc.runway: 0.8645, Acc.case: 0.5962, Acc.pool table: 0.9449, Acc.pillow: 0.7066, Acc.screen door: 0.7193, Acc.stairway: 0.3520, Acc.river: 0.2185, Acc.bridge: 0.4087, Acc.bookcase: 0.6309, Acc.blind: 0.4474, Acc.coffee table: 0.7764, Acc.toilet: 0.8960, Acc.flower: 0.5309, Acc.book: 0.6201, Acc.hill: 0.2223, Acc.bench: 0.5367, Acc.countertop: 0.7054, Acc.stove: 0.8115, Acc.palm: 0.6945, Acc.kitchen island: 0.6248, Acc.computer: 0.6906, Acc.swivel chair: 0.5880, Acc.boat: 0.8459, Acc.bar: 0.3182, Acc.arcade machine: 0.7182, Acc.hovel: 0.2887, Acc.bus: 0.9032, Acc.towel: 0.7147, Acc.light: 0.5368, Acc.truck: 0.1978, Acc.tower: 0.1205, Acc.chandelier: 0.7728, Acc.awning: 0.2894, Acc.streetlight: 0.3049, Acc.booth: 0.4236, Acc.television receiver: 0.7575, Acc.airplane: 0.6294, Acc.dirt track: 0.4638, Acc.apparel: 0.5137, Acc.pole: 0.2330, Acc.land: 0.0380, Acc.bannister: 0.1453, Acc.escalator: 0.2483, Acc.ottoman: 0.6177, Acc.bottle: 0.5354, Acc.buffet: 0.4742, Acc.poster: 0.3131, Acc.stage: 0.1711, Acc.van: 0.5290, Acc.ship: 0.9349, Acc.fountain: 0.1669, Acc.conveyer belt: 0.8886, Acc.canopy: 0.2989, Acc.washer: 0.8123, Acc.plaything: 0.3011, Acc.swimming pool: 0.8090, Acc.stool: 0.5553, Acc.barrel: 0.6130, Acc.basket: 0.3872, Acc.waterfall: 0.6805, Acc.tent: 0.9738, Acc.bag: 0.1915, Acc.minibike: 0.7605, Acc.cradle: 0.9649, Acc.oven: 0.6248, Acc.ball: 0.5233, Acc.food: 0.6084, Acc.step: 0.0700, Acc.tank: 0.5682, Acc.trade name: 0.2925, Acc.microwave: 0.8248, Acc.pot: 0.3291, Acc.animal: 0.5916, Acc.bicycle: 0.6653, Acc.lake: 0.6285, Acc.dishwasher: 0.7611, Acc.screen: 0.7984, Acc.blanket: 0.1776, Acc.sculpture: 0.7856, Acc.hood: 0.5880, Acc.sconce: 0.4854, Acc.vase: 0.4749, Acc.traffic light: 0.4263, Acc.tray: 0.0720, Acc.ashcan: 0.4926, Acc.fan: 0.6713, Acc.pier: 0.6840, Acc.crt screen: 0.2317, Acc.plate: 0.6496, Acc.monitor: 0.1710, Acc.bulletin board: 0.4841, Acc.shower: 0.0499, Acc.radiator: 0.6188, Acc.glass: 0.1216, Acc.clock: 0.3501, Acc.flag: 0.3719 +2023-03-05 00:33:38,074 - mmseg - INFO - Iter [72050/80000] lr: 1.172e-06, eta: 0:25:33, time: 0.502, data_time: 0.330, memory: 52390, decode.loss_ce: 0.2081, decode.acc_seg: 91.5510, loss: 0.2081 +2023-03-05 00:33:47,028 - mmseg - INFO - Iter [72100/80000] lr: 1.172e-06, eta: 0:25:23, time: 0.179, data_time: 0.007, memory: 52390, decode.loss_ce: 0.2082, decode.acc_seg: 91.5131, loss: 0.2082 +2023-03-05 00:33:55,791 - mmseg - INFO - Iter [72150/80000] lr: 1.172e-06, eta: 0:25:13, time: 0.175, data_time: 0.006, memory: 52390, decode.loss_ce: 0.2087, decode.acc_seg: 91.2721, loss: 0.2087 +2023-03-05 00:34:04,904 - mmseg - INFO - Iter [72200/80000] lr: 1.172e-06, eta: 0:25:04, time: 0.182, data_time: 0.006, memory: 52390, decode.loss_ce: 0.2109, decode.acc_seg: 91.4275, loss: 0.2109 +2023-03-05 00:34:14,133 - mmseg - INFO - Iter [72250/80000] lr: 1.172e-06, eta: 0:24:54, time: 0.185, data_time: 0.006, memory: 52390, decode.loss_ce: 0.2140, decode.acc_seg: 91.3155, loss: 0.2140 +2023-03-05 00:34:23,162 - mmseg - INFO - Iter [72300/80000] lr: 1.172e-06, eta: 0:24:44, time: 0.181, data_time: 0.006, memory: 52390, decode.loss_ce: 0.2087, decode.acc_seg: 91.5429, loss: 0.2087 +2023-03-05 00:34:31,922 - mmseg - INFO - Iter [72350/80000] lr: 1.172e-06, eta: 0:24:35, time: 0.175, data_time: 0.006, memory: 52390, decode.loss_ce: 0.2064, decode.acc_seg: 91.5755, loss: 0.2064 +2023-03-05 00:34:43,080 - mmseg - INFO - Iter [72400/80000] lr: 1.172e-06, eta: 0:24:25, time: 0.223, data_time: 0.054, memory: 52390, decode.loss_ce: 0.2119, decode.acc_seg: 91.4831, loss: 0.2119 +2023-03-05 00:34:51,609 - mmseg - INFO - Iter [72450/80000] lr: 1.172e-06, eta: 0:24:15, time: 0.171, data_time: 0.006, memory: 52390, decode.loss_ce: 0.2095, decode.acc_seg: 91.5041, loss: 0.2095 +2023-03-05 00:35:00,376 - mmseg - INFO - Iter [72500/80000] lr: 1.172e-06, eta: 0:24:06, time: 0.175, data_time: 0.006, memory: 52390, decode.loss_ce: 0.1977, decode.acc_seg: 91.8884, loss: 0.1977 +2023-03-05 00:35:09,108 - mmseg - INFO - Iter [72550/80000] lr: 1.172e-06, eta: 0:23:56, time: 0.174, data_time: 0.006, memory: 52390, decode.loss_ce: 0.2091, decode.acc_seg: 91.4853, loss: 0.2091 +2023-03-05 00:35:18,047 - mmseg - INFO - Iter [72600/80000] lr: 1.172e-06, eta: 0:23:46, time: 0.179, data_time: 0.007, memory: 52390, decode.loss_ce: 0.2111, decode.acc_seg: 91.3717, loss: 0.2111 +2023-03-05 00:35:27,085 - mmseg - INFO - Iter [72650/80000] lr: 1.172e-06, eta: 0:23:36, time: 0.181, data_time: 0.006, memory: 52390, decode.loss_ce: 0.2121, decode.acc_seg: 91.3436, loss: 0.2121 +2023-03-05 00:35:35,851 - mmseg - INFO - Iter [72700/80000] lr: 1.172e-06, eta: 0:23:27, time: 0.175, data_time: 0.006, memory: 52390, decode.loss_ce: 0.2149, decode.acc_seg: 91.1495, loss: 0.2149 +2023-03-05 00:35:45,260 - mmseg - INFO - Iter [72750/80000] lr: 1.172e-06, eta: 0:23:17, time: 0.188, data_time: 0.006, memory: 52390, decode.loss_ce: 0.2040, decode.acc_seg: 91.7508, loss: 0.2040 +2023-03-05 00:35:54,089 - mmseg - INFO - Iter [72800/80000] lr: 1.172e-06, eta: 0:23:07, time: 0.177, data_time: 0.006, memory: 52390, decode.loss_ce: 0.2196, decode.acc_seg: 91.0614, loss: 0.2196 +2023-03-05 00:36:03,102 - mmseg - INFO - Iter [72850/80000] lr: 1.172e-06, eta: 0:22:58, time: 0.180, data_time: 0.007, memory: 52390, decode.loss_ce: 0.2145, decode.acc_seg: 91.2259, loss: 0.2145 +2023-03-05 00:36:12,117 - mmseg - INFO - Iter [72900/80000] lr: 1.172e-06, eta: 0:22:48, time: 0.181, data_time: 0.007, memory: 52390, decode.loss_ce: 0.2039, decode.acc_seg: 91.7418, loss: 0.2039 +2023-03-05 00:36:20,659 - mmseg - INFO - Iter [72950/80000] lr: 1.172e-06, eta: 0:22:38, time: 0.171, data_time: 0.007, memory: 52390, decode.loss_ce: 0.2142, decode.acc_seg: 91.2053, loss: 0.2142 +2023-03-05 00:36:32,048 - mmseg - INFO - Exp name: ablation_segformer_mit_b2_segformer_head_unet_fc_single_step_ade_pretrained_freeze_embed_80k_ade20k151_logits.py +2023-03-05 00:36:32,048 - mmseg - INFO - Iter [73000/80000] lr: 1.172e-06, eta: 0:22:29, time: 0.227, data_time: 0.056, memory: 52390, decode.loss_ce: 0.2150, decode.acc_seg: 91.2511, loss: 0.2150 +2023-03-05 00:36:41,086 - mmseg - INFO - Iter [73050/80000] lr: 1.172e-06, eta: 0:22:19, time: 0.181, data_time: 0.007, memory: 52390, decode.loss_ce: 0.2013, decode.acc_seg: 91.6749, loss: 0.2013 +2023-03-05 00:36:50,057 - mmseg - INFO - Iter [73100/80000] lr: 1.172e-06, eta: 0:22:09, time: 0.179, data_time: 0.006, memory: 52390, decode.loss_ce: 0.2028, decode.acc_seg: 91.6254, loss: 0.2028 +2023-03-05 00:36:58,916 - mmseg - INFO - Iter [73150/80000] lr: 1.172e-06, eta: 0:22:00, time: 0.177, data_time: 0.007, memory: 52390, decode.loss_ce: 0.2171, decode.acc_seg: 91.0324, loss: 0.2171 +2023-03-05 00:37:08,018 - mmseg - INFO - Iter [73200/80000] lr: 1.172e-06, eta: 0:21:50, time: 0.182, data_time: 0.006, memory: 52390, decode.loss_ce: 0.2123, decode.acc_seg: 91.1386, loss: 0.2123 +2023-03-05 00:37:16,914 - mmseg - INFO - Iter [73250/80000] lr: 1.172e-06, eta: 0:21:40, time: 0.178, data_time: 0.006, memory: 52390, decode.loss_ce: 0.2184, decode.acc_seg: 91.1838, loss: 0.2184 +2023-03-05 00:37:26,068 - mmseg - INFO - Iter [73300/80000] lr: 1.172e-06, eta: 0:21:30, time: 0.183, data_time: 0.006, memory: 52390, decode.loss_ce: 0.2088, decode.acc_seg: 91.5027, loss: 0.2088 +2023-03-05 00:37:35,106 - mmseg - INFO - Iter [73350/80000] lr: 1.172e-06, eta: 0:21:21, time: 0.181, data_time: 0.006, memory: 52390, decode.loss_ce: 0.2120, decode.acc_seg: 91.3845, loss: 0.2120 +2023-03-05 00:37:44,194 - mmseg - INFO - Iter [73400/80000] lr: 1.172e-06, eta: 0:21:11, time: 0.182, data_time: 0.007, memory: 52390, decode.loss_ce: 0.2071, decode.acc_seg: 91.6016, loss: 0.2071 +2023-03-05 00:37:53,039 - mmseg - INFO - Iter [73450/80000] lr: 1.172e-06, eta: 0:21:01, time: 0.177, data_time: 0.006, memory: 52390, decode.loss_ce: 0.2132, decode.acc_seg: 91.2792, loss: 0.2132 +2023-03-05 00:38:01,717 - mmseg - INFO - Iter [73500/80000] lr: 1.172e-06, eta: 0:20:52, time: 0.174, data_time: 0.006, memory: 52390, decode.loss_ce: 0.2078, decode.acc_seg: 91.4962, loss: 0.2078 +2023-03-05 00:38:10,734 - mmseg - INFO - Iter [73550/80000] lr: 1.172e-06, eta: 0:20:42, time: 0.180, data_time: 0.007, memory: 52390, decode.loss_ce: 0.2089, decode.acc_seg: 91.5215, loss: 0.2089 +2023-03-05 00:38:19,432 - mmseg - INFO - Iter [73600/80000] lr: 1.172e-06, eta: 0:20:32, time: 0.174, data_time: 0.006, memory: 52390, decode.loss_ce: 0.2073, decode.acc_seg: 91.3931, loss: 0.2073 +2023-03-05 00:38:30,697 - mmseg - INFO - Iter [73650/80000] lr: 1.172e-06, eta: 0:20:23, time: 0.225, data_time: 0.054, memory: 52390, decode.loss_ce: 0.2130, decode.acc_seg: 91.2984, loss: 0.2130 +2023-03-05 00:38:39,922 - mmseg - INFO - Iter [73700/80000] lr: 1.172e-06, eta: 0:20:13, time: 0.185, data_time: 0.006, memory: 52390, decode.loss_ce: 0.2079, decode.acc_seg: 91.4653, loss: 0.2079 +2023-03-05 00:38:49,273 - mmseg - INFO - Iter [73750/80000] lr: 1.172e-06, eta: 0:20:03, time: 0.187, data_time: 0.007, memory: 52390, decode.loss_ce: 0.2111, decode.acc_seg: 91.4350, loss: 0.2111 +2023-03-05 00:38:57,867 - mmseg - INFO - Iter [73800/80000] lr: 1.172e-06, eta: 0:19:54, time: 0.172, data_time: 0.007, memory: 52390, decode.loss_ce: 0.2135, decode.acc_seg: 91.2753, loss: 0.2135 +2023-03-05 00:39:06,423 - mmseg - INFO - Iter [73850/80000] lr: 1.172e-06, eta: 0:19:44, time: 0.171, data_time: 0.006, memory: 52390, decode.loss_ce: 0.2143, decode.acc_seg: 91.3318, loss: 0.2143 +2023-03-05 00:39:15,335 - mmseg - INFO - Iter [73900/80000] lr: 1.172e-06, eta: 0:19:34, time: 0.178, data_time: 0.006, memory: 52390, decode.loss_ce: 0.2084, decode.acc_seg: 91.4275, loss: 0.2084 +2023-03-05 00:39:24,939 - mmseg - INFO - Iter [73950/80000] lr: 1.172e-06, eta: 0:19:25, time: 0.192, data_time: 0.006, memory: 52390, decode.loss_ce: 0.2097, decode.acc_seg: 91.3883, loss: 0.2097 +2023-03-05 00:39:33,891 - mmseg - INFO - Exp name: ablation_segformer_mit_b2_segformer_head_unet_fc_single_step_ade_pretrained_freeze_embed_80k_ade20k151_logits.py +2023-03-05 00:39:33,891 - mmseg - INFO - Iter [74000/80000] lr: 1.172e-06, eta: 0:19:15, time: 0.179, data_time: 0.006, memory: 52390, decode.loss_ce: 0.2078, decode.acc_seg: 91.4876, loss: 0.2078 +2023-03-05 00:39:42,545 - mmseg - INFO - Iter [74050/80000] lr: 1.172e-06, eta: 0:19:05, time: 0.173, data_time: 0.006, memory: 52390, decode.loss_ce: 0.2120, decode.acc_seg: 91.3001, loss: 0.2120 +2023-03-05 00:39:51,057 - mmseg - INFO - Iter [74100/80000] lr: 1.172e-06, eta: 0:18:55, time: 0.170, data_time: 0.007, memory: 52390, decode.loss_ce: 0.2183, decode.acc_seg: 91.1227, loss: 0.2183 +2023-03-05 00:39:59,997 - mmseg - INFO - Iter [74150/80000] lr: 1.172e-06, eta: 0:18:46, time: 0.179, data_time: 0.006, memory: 52390, decode.loss_ce: 0.2022, decode.acc_seg: 91.5735, loss: 0.2022 +2023-03-05 00:40:09,030 - mmseg - INFO - Iter [74200/80000] lr: 1.172e-06, eta: 0:18:36, time: 0.181, data_time: 0.007, memory: 52390, decode.loss_ce: 0.2076, decode.acc_seg: 91.4034, loss: 0.2076 +2023-03-05 00:40:17,945 - mmseg - INFO - Iter [74250/80000] lr: 1.172e-06, eta: 0:18:26, time: 0.178, data_time: 0.006, memory: 52390, decode.loss_ce: 0.2037, decode.acc_seg: 91.6137, loss: 0.2037 +2023-03-05 00:40:29,301 - mmseg - INFO - Iter [74300/80000] lr: 1.172e-06, eta: 0:18:17, time: 0.227, data_time: 0.053, memory: 52390, decode.loss_ce: 0.2116, decode.acc_seg: 91.3582, loss: 0.2116 +2023-03-05 00:40:38,127 - mmseg - INFO - Iter [74350/80000] lr: 1.172e-06, eta: 0:18:07, time: 0.177, data_time: 0.007, memory: 52390, decode.loss_ce: 0.1970, decode.acc_seg: 91.9788, loss: 0.1970 +2023-03-05 00:40:46,902 - mmseg - INFO - Iter [74400/80000] lr: 1.172e-06, eta: 0:17:58, time: 0.175, data_time: 0.006, memory: 52390, decode.loss_ce: 0.2037, decode.acc_seg: 91.7981, loss: 0.2037 +2023-03-05 00:40:56,089 - mmseg - INFO - Iter [74450/80000] lr: 1.172e-06, eta: 0:17:48, time: 0.183, data_time: 0.006, memory: 52390, decode.loss_ce: 0.2044, decode.acc_seg: 91.5695, loss: 0.2044 +2023-03-05 00:41:04,862 - mmseg - INFO - Iter [74500/80000] lr: 1.172e-06, eta: 0:17:38, time: 0.176, data_time: 0.006, memory: 52390, decode.loss_ce: 0.2101, decode.acc_seg: 91.4532, loss: 0.2101 +2023-03-05 00:41:13,496 - mmseg - INFO - Iter [74550/80000] lr: 1.172e-06, eta: 0:17:29, time: 0.173, data_time: 0.006, memory: 52390, decode.loss_ce: 0.2141, decode.acc_seg: 91.0841, loss: 0.2141 +2023-03-05 00:41:22,133 - mmseg - INFO - Iter [74600/80000] lr: 1.172e-06, eta: 0:17:19, time: 0.172, data_time: 0.006, memory: 52390, decode.loss_ce: 0.2124, decode.acc_seg: 91.2778, loss: 0.2124 +2023-03-05 00:41:31,121 - mmseg - INFO - Iter [74650/80000] lr: 1.172e-06, eta: 0:17:09, time: 0.180, data_time: 0.007, memory: 52390, decode.loss_ce: 0.2045, decode.acc_seg: 91.7540, loss: 0.2045 +2023-03-05 00:41:40,541 - mmseg - INFO - Iter [74700/80000] lr: 1.172e-06, eta: 0:16:59, time: 0.188, data_time: 0.006, memory: 52390, decode.loss_ce: 0.2124, decode.acc_seg: 91.3858, loss: 0.2124 +2023-03-05 00:41:49,217 - mmseg - INFO - Iter [74750/80000] lr: 1.172e-06, eta: 0:16:50, time: 0.174, data_time: 0.006, memory: 52390, decode.loss_ce: 0.2040, decode.acc_seg: 91.6299, loss: 0.2040 +2023-03-05 00:41:57,951 - mmseg - INFO - Iter [74800/80000] lr: 1.172e-06, eta: 0:16:40, time: 0.175, data_time: 0.006, memory: 52390, decode.loss_ce: 0.2101, decode.acc_seg: 91.4491, loss: 0.2101 +2023-03-05 00:42:06,768 - mmseg - INFO - Iter [74850/80000] lr: 1.172e-06, eta: 0:16:30, time: 0.176, data_time: 0.006, memory: 52390, decode.loss_ce: 0.1999, decode.acc_seg: 91.7297, loss: 0.1999 +2023-03-05 00:42:18,149 - mmseg - INFO - Iter [74900/80000] lr: 1.172e-06, eta: 0:16:21, time: 0.227, data_time: 0.053, memory: 52390, decode.loss_ce: 0.2127, decode.acc_seg: 91.3300, loss: 0.2127 +2023-03-05 00:42:26,914 - mmseg - INFO - Iter [74950/80000] lr: 1.172e-06, eta: 0:16:11, time: 0.176, data_time: 0.007, memory: 52390, decode.loss_ce: 0.2090, decode.acc_seg: 91.2928, loss: 0.2090 +2023-03-05 00:42:36,224 - mmseg - INFO - Exp name: ablation_segformer_mit_b2_segformer_head_unet_fc_single_step_ade_pretrained_freeze_embed_80k_ade20k151_logits.py +2023-03-05 00:42:36,224 - mmseg - INFO - Iter [75000/80000] lr: 1.172e-06, eta: 0:16:02, time: 0.186, data_time: 0.006, memory: 52390, decode.loss_ce: 0.2093, decode.acc_seg: 91.6254, loss: 0.2093 +2023-03-05 00:42:45,437 - mmseg - INFO - Iter [75050/80000] lr: 1.172e-06, eta: 0:15:52, time: 0.184, data_time: 0.006, memory: 52390, decode.loss_ce: 0.2015, decode.acc_seg: 91.6210, loss: 0.2015 +2023-03-05 00:42:54,736 - mmseg - INFO - Iter [75100/80000] lr: 1.172e-06, eta: 0:15:42, time: 0.186, data_time: 0.006, memory: 52390, decode.loss_ce: 0.2201, decode.acc_seg: 90.9947, loss: 0.2201 +2023-03-05 00:43:03,652 - mmseg - INFO - Iter [75150/80000] lr: 1.172e-06, eta: 0:15:33, time: 0.179, data_time: 0.007, memory: 52390, decode.loss_ce: 0.2139, decode.acc_seg: 91.2600, loss: 0.2139 +2023-03-05 00:43:12,596 - mmseg - INFO - Iter [75200/80000] lr: 1.172e-06, eta: 0:15:23, time: 0.179, data_time: 0.006, memory: 52390, decode.loss_ce: 0.2038, decode.acc_seg: 91.6847, loss: 0.2038 +2023-03-05 00:43:21,684 - mmseg - INFO - Iter [75250/80000] lr: 1.172e-06, eta: 0:15:13, time: 0.182, data_time: 0.007, memory: 52390, decode.loss_ce: 0.2009, decode.acc_seg: 91.7609, loss: 0.2009 +2023-03-05 00:43:30,502 - mmseg - INFO - Iter [75300/80000] lr: 1.172e-06, eta: 0:15:04, time: 0.176, data_time: 0.006, memory: 52390, decode.loss_ce: 0.2168, decode.acc_seg: 91.2065, loss: 0.2168 +2023-03-05 00:43:39,206 - mmseg - INFO - Iter [75350/80000] lr: 1.172e-06, eta: 0:14:54, time: 0.174, data_time: 0.006, memory: 52390, decode.loss_ce: 0.2121, decode.acc_seg: 91.2677, loss: 0.2121 +2023-03-05 00:43:47,993 - mmseg - INFO - Iter [75400/80000] lr: 1.172e-06, eta: 0:14:44, time: 0.176, data_time: 0.007, memory: 52390, decode.loss_ce: 0.1985, decode.acc_seg: 91.7557, loss: 0.1985 +2023-03-05 00:43:57,010 - mmseg - INFO - Iter [75450/80000] lr: 1.172e-06, eta: 0:14:35, time: 0.181, data_time: 0.007, memory: 52390, decode.loss_ce: 0.2058, decode.acc_seg: 91.6286, loss: 0.2058 +2023-03-05 00:44:06,402 - mmseg - INFO - Iter [75500/80000] lr: 1.172e-06, eta: 0:14:25, time: 0.188, data_time: 0.007, memory: 52390, decode.loss_ce: 0.2046, decode.acc_seg: 91.6625, loss: 0.2046 +2023-03-05 00:44:17,810 - mmseg - INFO - Iter [75550/80000] lr: 1.172e-06, eta: 0:14:15, time: 0.228, data_time: 0.054, memory: 52390, decode.loss_ce: 0.2067, decode.acc_seg: 91.5933, loss: 0.2067 +2023-03-05 00:44:26,442 - mmseg - INFO - Iter [75600/80000] lr: 1.172e-06, eta: 0:14:06, time: 0.173, data_time: 0.006, memory: 52390, decode.loss_ce: 0.2124, decode.acc_seg: 91.2465, loss: 0.2124 +2023-03-05 00:44:35,255 - mmseg - INFO - Iter [75650/80000] lr: 1.172e-06, eta: 0:13:56, time: 0.176, data_time: 0.006, memory: 52390, decode.loss_ce: 0.2120, decode.acc_seg: 91.2389, loss: 0.2120 +2023-03-05 00:44:44,099 - mmseg - INFO - Iter [75700/80000] lr: 1.172e-06, eta: 0:13:46, time: 0.177, data_time: 0.007, memory: 52390, decode.loss_ce: 0.2070, decode.acc_seg: 91.6143, loss: 0.2070 +2023-03-05 00:44:52,940 - mmseg - INFO - Iter [75750/80000] lr: 1.172e-06, eta: 0:13:37, time: 0.177, data_time: 0.007, memory: 52390, decode.loss_ce: 0.2101, decode.acc_seg: 91.3524, loss: 0.2101 +2023-03-05 00:45:01,688 - mmseg - INFO - Iter [75800/80000] lr: 1.172e-06, eta: 0:13:27, time: 0.175, data_time: 0.006, memory: 52390, decode.loss_ce: 0.1996, decode.acc_seg: 91.7334, loss: 0.1996 +2023-03-05 00:45:10,812 - mmseg - INFO - Iter [75850/80000] lr: 1.172e-06, eta: 0:13:17, time: 0.182, data_time: 0.007, memory: 52390, decode.loss_ce: 0.2000, decode.acc_seg: 91.6346, loss: 0.2000 +2023-03-05 00:45:19,436 - mmseg - INFO - Iter [75900/80000] lr: 1.172e-06, eta: 0:13:08, time: 0.172, data_time: 0.006, memory: 52390, decode.loss_ce: 0.2059, decode.acc_seg: 91.5884, loss: 0.2059 +2023-03-05 00:45:28,160 - mmseg - INFO - Iter [75950/80000] lr: 1.172e-06, eta: 0:12:58, time: 0.174, data_time: 0.006, memory: 52390, decode.loss_ce: 0.2004, decode.acc_seg: 91.7969, loss: 0.2004 +2023-03-05 00:45:37,008 - mmseg - INFO - Exp name: ablation_segformer_mit_b2_segformer_head_unet_fc_single_step_ade_pretrained_freeze_embed_80k_ade20k151_logits.py +2023-03-05 00:45:37,008 - mmseg - INFO - Iter [76000/80000] lr: 1.172e-06, eta: 0:12:48, time: 0.177, data_time: 0.006, memory: 52390, decode.loss_ce: 0.2121, decode.acc_seg: 91.2416, loss: 0.2121 +2023-03-05 00:45:46,003 - mmseg - INFO - Iter [76050/80000] lr: 1.172e-06, eta: 0:12:39, time: 0.180, data_time: 0.006, memory: 52390, decode.loss_ce: 0.2036, decode.acc_seg: 91.6745, loss: 0.2036 +2023-03-05 00:45:54,615 - mmseg - INFO - Iter [76100/80000] lr: 1.172e-06, eta: 0:12:29, time: 0.172, data_time: 0.006, memory: 52390, decode.loss_ce: 0.2067, decode.acc_seg: 91.5910, loss: 0.2067 +2023-03-05 00:46:06,189 - mmseg - INFO - Iter [76150/80000] lr: 1.172e-06, eta: 0:12:20, time: 0.231, data_time: 0.053, memory: 52390, decode.loss_ce: 0.2064, decode.acc_seg: 91.4846, loss: 0.2064 +2023-03-05 00:46:14,750 - mmseg - INFO - Iter [76200/80000] lr: 1.172e-06, eta: 0:12:10, time: 0.171, data_time: 0.006, memory: 52390, decode.loss_ce: 0.2153, decode.acc_seg: 91.1673, loss: 0.2153 +2023-03-05 00:46:23,363 - mmseg - INFO - Iter [76250/80000] lr: 1.172e-06, eta: 0:12:00, time: 0.172, data_time: 0.006, memory: 52390, decode.loss_ce: 0.2022, decode.acc_seg: 91.7548, loss: 0.2022 +2023-03-05 00:46:32,402 - mmseg - INFO - Iter [76300/80000] lr: 1.172e-06, eta: 0:11:51, time: 0.181, data_time: 0.007, memory: 52390, decode.loss_ce: 0.2014, decode.acc_seg: 91.7348, loss: 0.2014 +2023-03-05 00:46:41,820 - mmseg - INFO - Iter [76350/80000] lr: 1.172e-06, eta: 0:11:41, time: 0.188, data_time: 0.006, memory: 52390, decode.loss_ce: 0.2089, decode.acc_seg: 91.3299, loss: 0.2089 +2023-03-05 00:46:51,248 - mmseg - INFO - Iter [76400/80000] lr: 1.172e-06, eta: 0:11:31, time: 0.189, data_time: 0.007, memory: 52390, decode.loss_ce: 0.2066, decode.acc_seg: 91.5788, loss: 0.2066 +2023-03-05 00:46:59,835 - mmseg - INFO - Iter [76450/80000] lr: 1.172e-06, eta: 0:11:22, time: 0.172, data_time: 0.006, memory: 52390, decode.loss_ce: 0.2073, decode.acc_seg: 91.5478, loss: 0.2073 +2023-03-05 00:47:09,047 - mmseg - INFO - Iter [76500/80000] lr: 1.172e-06, eta: 0:11:12, time: 0.184, data_time: 0.007, memory: 52390, decode.loss_ce: 0.2099, decode.acc_seg: 91.3152, loss: 0.2099 +2023-03-05 00:47:18,325 - mmseg - INFO - Iter [76550/80000] lr: 1.172e-06, eta: 0:11:03, time: 0.185, data_time: 0.006, memory: 52390, decode.loss_ce: 0.2060, decode.acc_seg: 91.5580, loss: 0.2060 +2023-03-05 00:47:27,519 - mmseg - INFO - Iter [76600/80000] lr: 1.172e-06, eta: 0:10:53, time: 0.184, data_time: 0.007, memory: 52390, decode.loss_ce: 0.2111, decode.acc_seg: 91.4388, loss: 0.2111 +2023-03-05 00:47:36,103 - mmseg - INFO - Iter [76650/80000] lr: 1.172e-06, eta: 0:10:43, time: 0.172, data_time: 0.007, memory: 52390, decode.loss_ce: 0.2205, decode.acc_seg: 91.1038, loss: 0.2205 +2023-03-05 00:47:45,170 - mmseg - INFO - Iter [76700/80000] lr: 1.172e-06, eta: 0:10:34, time: 0.181, data_time: 0.006, memory: 52390, decode.loss_ce: 0.2058, decode.acc_seg: 91.3977, loss: 0.2058 +2023-03-05 00:47:53,913 - mmseg - INFO - Iter [76750/80000] lr: 1.172e-06, eta: 0:10:24, time: 0.175, data_time: 0.007, memory: 52390, decode.loss_ce: 0.2228, decode.acc_seg: 90.9825, loss: 0.2228 +2023-03-05 00:48:05,238 - mmseg - INFO - Iter [76800/80000] lr: 1.172e-06, eta: 0:10:14, time: 0.226, data_time: 0.057, memory: 52390, decode.loss_ce: 0.2119, decode.acc_seg: 91.3838, loss: 0.2119 +2023-03-05 00:48:14,264 - mmseg - INFO - Iter [76850/80000] lr: 1.172e-06, eta: 0:10:05, time: 0.181, data_time: 0.006, memory: 52390, decode.loss_ce: 0.2040, decode.acc_seg: 91.7225, loss: 0.2040 +2023-03-05 00:48:23,946 - mmseg - INFO - Iter [76900/80000] lr: 1.172e-06, eta: 0:09:55, time: 0.194, data_time: 0.006, memory: 52390, decode.loss_ce: 0.2093, decode.acc_seg: 91.3470, loss: 0.2093 +2023-03-05 00:48:33,001 - mmseg - INFO - Iter [76950/80000] lr: 1.172e-06, eta: 0:09:46, time: 0.181, data_time: 0.006, memory: 52390, decode.loss_ce: 0.2098, decode.acc_seg: 91.5756, loss: 0.2098 +2023-03-05 00:48:41,858 - mmseg - INFO - Exp name: ablation_segformer_mit_b2_segformer_head_unet_fc_single_step_ade_pretrained_freeze_embed_80k_ade20k151_logits.py +2023-03-05 00:48:41,858 - mmseg - INFO - Iter [77000/80000] lr: 1.172e-06, eta: 0:09:36, time: 0.177, data_time: 0.007, memory: 52390, decode.loss_ce: 0.2185, decode.acc_seg: 91.3538, loss: 0.2185 +2023-03-05 00:48:50,848 - mmseg - INFO - Iter [77050/80000] lr: 1.172e-06, eta: 0:09:26, time: 0.180, data_time: 0.007, memory: 52390, decode.loss_ce: 0.2005, decode.acc_seg: 91.7941, loss: 0.2005 +2023-03-05 00:48:59,328 - mmseg - INFO - Iter [77100/80000] lr: 1.172e-06, eta: 0:09:17, time: 0.170, data_time: 0.006, memory: 52390, decode.loss_ce: 0.2057, decode.acc_seg: 91.5124, loss: 0.2057 +2023-03-05 00:49:08,259 - mmseg - INFO - Iter [77150/80000] lr: 1.172e-06, eta: 0:09:07, time: 0.179, data_time: 0.006, memory: 52390, decode.loss_ce: 0.2109, decode.acc_seg: 91.3832, loss: 0.2109 +2023-03-05 00:49:16,814 - mmseg - INFO - Iter [77200/80000] lr: 1.172e-06, eta: 0:08:57, time: 0.171, data_time: 0.006, memory: 52390, decode.loss_ce: 0.2078, decode.acc_seg: 91.5834, loss: 0.2078 +2023-03-05 00:49:25,537 - mmseg - INFO - Iter [77250/80000] lr: 1.172e-06, eta: 0:08:48, time: 0.174, data_time: 0.006, memory: 52390, decode.loss_ce: 0.2044, decode.acc_seg: 91.5573, loss: 0.2044 +2023-03-05 00:49:35,150 - mmseg - INFO - Iter [77300/80000] lr: 1.172e-06, eta: 0:08:38, time: 0.192, data_time: 0.007, memory: 52390, decode.loss_ce: 0.2128, decode.acc_seg: 91.3435, loss: 0.2128 +2023-03-05 00:49:44,045 - mmseg - INFO - Iter [77350/80000] lr: 1.172e-06, eta: 0:08:28, time: 0.178, data_time: 0.007, memory: 52390, decode.loss_ce: 0.2160, decode.acc_seg: 91.2055, loss: 0.2160 +2023-03-05 00:49:52,973 - mmseg - INFO - Iter [77400/80000] lr: 1.172e-06, eta: 0:08:19, time: 0.179, data_time: 0.006, memory: 52390, decode.loss_ce: 0.2155, decode.acc_seg: 91.3004, loss: 0.2155 +2023-03-05 00:50:04,154 - mmseg - INFO - Iter [77450/80000] lr: 1.172e-06, eta: 0:08:09, time: 0.223, data_time: 0.052, memory: 52390, decode.loss_ce: 0.2114, decode.acc_seg: 91.4000, loss: 0.2114 +2023-03-05 00:50:13,239 - mmseg - INFO - Iter [77500/80000] lr: 1.172e-06, eta: 0:08:00, time: 0.182, data_time: 0.006, memory: 52390, decode.loss_ce: 0.2078, decode.acc_seg: 91.3620, loss: 0.2078 +2023-03-05 00:50:21,965 - mmseg - INFO - Iter [77550/80000] lr: 1.172e-06, eta: 0:07:50, time: 0.174, data_time: 0.006, memory: 52390, decode.loss_ce: 0.2081, decode.acc_seg: 91.3667, loss: 0.2081 +2023-03-05 00:50:30,905 - mmseg - INFO - Iter [77600/80000] lr: 1.172e-06, eta: 0:07:40, time: 0.179, data_time: 0.006, memory: 52390, decode.loss_ce: 0.2115, decode.acc_seg: 91.3410, loss: 0.2115 +2023-03-05 00:50:40,105 - mmseg - INFO - Iter [77650/80000] lr: 1.172e-06, eta: 0:07:31, time: 0.184, data_time: 0.006, memory: 52390, decode.loss_ce: 0.2063, decode.acc_seg: 91.5471, loss: 0.2063 +2023-03-05 00:50:49,064 - mmseg - INFO - Iter [77700/80000] lr: 1.172e-06, eta: 0:07:21, time: 0.179, data_time: 0.006, memory: 52390, decode.loss_ce: 0.2010, decode.acc_seg: 91.8180, loss: 0.2010 +2023-03-05 00:50:58,152 - mmseg - INFO - Iter [77750/80000] lr: 1.172e-06, eta: 0:07:12, time: 0.182, data_time: 0.006, memory: 52390, decode.loss_ce: 0.2023, decode.acc_seg: 91.7028, loss: 0.2023 +2023-03-05 00:51:07,256 - mmseg - INFO - Iter [77800/80000] lr: 1.172e-06, eta: 0:07:02, time: 0.182, data_time: 0.006, memory: 52390, decode.loss_ce: 0.2128, decode.acc_seg: 91.3340, loss: 0.2128 +2023-03-05 00:51:16,234 - mmseg - INFO - Iter [77850/80000] lr: 1.172e-06, eta: 0:06:52, time: 0.180, data_time: 0.007, memory: 52390, decode.loss_ce: 0.2130, decode.acc_seg: 91.2121, loss: 0.2130 +2023-03-05 00:51:26,267 - mmseg - INFO - Iter [77900/80000] lr: 1.172e-06, eta: 0:06:43, time: 0.201, data_time: 0.008, memory: 52390, decode.loss_ce: 0.2094, decode.acc_seg: 91.5275, loss: 0.2094 +2023-03-05 00:51:35,007 - mmseg - INFO - Iter [77950/80000] lr: 1.172e-06, eta: 0:06:33, time: 0.175, data_time: 0.006, memory: 52390, decode.loss_ce: 0.2073, decode.acc_seg: 91.3466, loss: 0.2073 +2023-03-05 00:51:43,768 - mmseg - INFO - Exp name: ablation_segformer_mit_b2_segformer_head_unet_fc_single_step_ade_pretrained_freeze_embed_80k_ade20k151_logits.py +2023-03-05 00:51:43,768 - mmseg - INFO - Iter [78000/80000] lr: 1.172e-06, eta: 0:06:23, time: 0.175, data_time: 0.006, memory: 52390, decode.loss_ce: 0.2106, decode.acc_seg: 91.2700, loss: 0.2106 +2023-03-05 00:51:54,935 - mmseg - INFO - Iter [78050/80000] lr: 1.172e-06, eta: 0:06:14, time: 0.223, data_time: 0.054, memory: 52390, decode.loss_ce: 0.2117, decode.acc_seg: 91.2989, loss: 0.2117 +2023-03-05 00:52:03,727 - mmseg - INFO - Iter [78100/80000] lr: 1.172e-06, eta: 0:06:04, time: 0.176, data_time: 0.006, memory: 52390, decode.loss_ce: 0.2089, decode.acc_seg: 91.3497, loss: 0.2089 +2023-03-05 00:52:12,473 - mmseg - INFO - Iter [78150/80000] lr: 1.172e-06, eta: 0:05:55, time: 0.175, data_time: 0.006, memory: 52390, decode.loss_ce: 0.2121, decode.acc_seg: 91.4699, loss: 0.2121 +2023-03-05 00:52:21,786 - mmseg - INFO - Iter [78200/80000] lr: 1.172e-06, eta: 0:05:45, time: 0.187, data_time: 0.006, memory: 52390, decode.loss_ce: 0.2064, decode.acc_seg: 91.5125, loss: 0.2064 +2023-03-05 00:52:30,726 - mmseg - INFO - Iter [78250/80000] lr: 1.172e-06, eta: 0:05:35, time: 0.179, data_time: 0.006, memory: 52390, decode.loss_ce: 0.2055, decode.acc_seg: 91.5233, loss: 0.2055 +2023-03-05 00:52:39,455 - mmseg - INFO - Iter [78300/80000] lr: 1.172e-06, eta: 0:05:26, time: 0.175, data_time: 0.007, memory: 52390, decode.loss_ce: 0.2125, decode.acc_seg: 91.2635, loss: 0.2125 +2023-03-05 00:52:48,722 - mmseg - INFO - Iter [78350/80000] lr: 1.172e-06, eta: 0:05:16, time: 0.185, data_time: 0.006, memory: 52390, decode.loss_ce: 0.2091, decode.acc_seg: 91.5815, loss: 0.2091 +2023-03-05 00:52:57,996 - mmseg - INFO - Iter [78400/80000] lr: 1.172e-06, eta: 0:05:07, time: 0.185, data_time: 0.006, memory: 52390, decode.loss_ce: 0.2073, decode.acc_seg: 91.2822, loss: 0.2073 +2023-03-05 00:53:06,644 - mmseg - INFO - Iter [78450/80000] lr: 1.172e-06, eta: 0:04:57, time: 0.173, data_time: 0.006, memory: 52390, decode.loss_ce: 0.2000, decode.acc_seg: 91.7773, loss: 0.2000 +2023-03-05 00:53:15,337 - mmseg - INFO - Iter [78500/80000] lr: 1.172e-06, eta: 0:04:47, time: 0.174, data_time: 0.006, memory: 52390, decode.loss_ce: 0.2176, decode.acc_seg: 91.2963, loss: 0.2176 +2023-03-05 00:53:24,016 - mmseg - INFO - Iter [78550/80000] lr: 1.172e-06, eta: 0:04:38, time: 0.174, data_time: 0.007, memory: 52390, decode.loss_ce: 0.2103, decode.acc_seg: 91.4967, loss: 0.2103 +2023-03-05 00:53:33,343 - mmseg - INFO - Iter [78600/80000] lr: 1.172e-06, eta: 0:04:28, time: 0.186, data_time: 0.006, memory: 52390, decode.loss_ce: 0.2186, decode.acc_seg: 91.1930, loss: 0.2186 +2023-03-05 00:53:42,597 - mmseg - INFO - Iter [78650/80000] lr: 1.172e-06, eta: 0:04:19, time: 0.185, data_time: 0.007, memory: 52390, decode.loss_ce: 0.2042, decode.acc_seg: 91.7100, loss: 0.2042 +2023-03-05 00:53:53,744 - mmseg - INFO - Iter [78700/80000] lr: 1.172e-06, eta: 0:04:09, time: 0.223, data_time: 0.056, memory: 52390, decode.loss_ce: 0.2107, decode.acc_seg: 91.4793, loss: 0.2107 +2023-03-05 00:54:03,084 - mmseg - INFO - Iter [78750/80000] lr: 1.172e-06, eta: 0:03:59, time: 0.187, data_time: 0.007, memory: 52390, decode.loss_ce: 0.2021, decode.acc_seg: 91.6656, loss: 0.2021 +2023-03-05 00:54:11,846 - mmseg - INFO - Iter [78800/80000] lr: 1.172e-06, eta: 0:03:50, time: 0.175, data_time: 0.007, memory: 52390, decode.loss_ce: 0.2006, decode.acc_seg: 91.8114, loss: 0.2006 +2023-03-05 00:54:20,382 - mmseg - INFO - Iter [78850/80000] lr: 1.172e-06, eta: 0:03:40, time: 0.171, data_time: 0.006, memory: 52390, decode.loss_ce: 0.2157, decode.acc_seg: 91.2770, loss: 0.2157 +2023-03-05 00:54:29,423 - mmseg - INFO - Iter [78900/80000] lr: 1.172e-06, eta: 0:03:31, time: 0.181, data_time: 0.006, memory: 52390, decode.loss_ce: 0.2131, decode.acc_seg: 91.3710, loss: 0.2131 +2023-03-05 00:54:38,515 - mmseg - INFO - Iter [78950/80000] lr: 1.172e-06, eta: 0:03:21, time: 0.182, data_time: 0.007, memory: 52390, decode.loss_ce: 0.1987, decode.acc_seg: 91.9045, loss: 0.1987 +2023-03-05 00:54:47,437 - mmseg - INFO - Exp name: ablation_segformer_mit_b2_segformer_head_unet_fc_single_step_ade_pretrained_freeze_embed_80k_ade20k151_logits.py +2023-03-05 00:54:47,438 - mmseg - INFO - Iter [79000/80000] lr: 1.172e-06, eta: 0:03:11, time: 0.178, data_time: 0.006, memory: 52390, decode.loss_ce: 0.2098, decode.acc_seg: 91.2359, loss: 0.2098 +2023-03-05 00:54:56,736 - mmseg - INFO - Iter [79050/80000] lr: 1.172e-06, eta: 0:03:02, time: 0.186, data_time: 0.007, memory: 52390, decode.loss_ce: 0.2096, decode.acc_seg: 91.5336, loss: 0.2096 +2023-03-05 00:55:05,262 - mmseg - INFO - Iter [79100/80000] lr: 1.172e-06, eta: 0:02:52, time: 0.170, data_time: 0.006, memory: 52390, decode.loss_ce: 0.2052, decode.acc_seg: 91.7004, loss: 0.2052 +2023-03-05 00:55:14,258 - mmseg - INFO - Iter [79150/80000] lr: 1.172e-06, eta: 0:02:43, time: 0.180, data_time: 0.007, memory: 52390, decode.loss_ce: 0.2104, decode.acc_seg: 91.3044, loss: 0.2104 +2023-03-05 00:55:23,196 - mmseg - INFO - Iter [79200/80000] lr: 1.172e-06, eta: 0:02:33, time: 0.178, data_time: 0.006, memory: 52390, decode.loss_ce: 0.2030, decode.acc_seg: 91.6559, loss: 0.2030 +2023-03-05 00:55:32,177 - mmseg - INFO - Iter [79250/80000] lr: 1.172e-06, eta: 0:02:23, time: 0.180, data_time: 0.007, memory: 52390, decode.loss_ce: 0.2072, decode.acc_seg: 91.3848, loss: 0.2072 +2023-03-05 00:55:40,992 - mmseg - INFO - Iter [79300/80000] lr: 1.172e-06, eta: 0:02:14, time: 0.176, data_time: 0.006, memory: 52390, decode.loss_ce: 0.2224, decode.acc_seg: 90.9499, loss: 0.2224 +2023-03-05 00:55:52,365 - mmseg - INFO - Iter [79350/80000] lr: 1.172e-06, eta: 0:02:04, time: 0.227, data_time: 0.054, memory: 52390, decode.loss_ce: 0.2167, decode.acc_seg: 91.2023, loss: 0.2167 +2023-03-05 00:56:01,003 - mmseg - INFO - Iter [79400/80000] lr: 1.172e-06, eta: 0:01:55, time: 0.173, data_time: 0.006, memory: 52390, decode.loss_ce: 0.2087, decode.acc_seg: 91.5601, loss: 0.2087 +2023-03-05 00:56:10,322 - mmseg - INFO - Iter [79450/80000] lr: 1.172e-06, eta: 0:01:45, time: 0.186, data_time: 0.006, memory: 52390, decode.loss_ce: 0.2080, decode.acc_seg: 91.3423, loss: 0.2080 +2023-03-05 00:56:19,488 - mmseg - INFO - Iter [79500/80000] lr: 1.172e-06, eta: 0:01:35, time: 0.184, data_time: 0.007, memory: 52390, decode.loss_ce: 0.2078, decode.acc_seg: 91.4549, loss: 0.2078 +2023-03-05 00:56:28,797 - mmseg - INFO - Iter [79550/80000] lr: 1.172e-06, eta: 0:01:26, time: 0.186, data_time: 0.006, memory: 52390, decode.loss_ce: 0.1959, decode.acc_seg: 91.9260, loss: 0.1959 +2023-03-05 00:56:37,560 - mmseg - INFO - Iter [79600/80000] lr: 1.172e-06, eta: 0:01:16, time: 0.175, data_time: 0.006, memory: 52390, decode.loss_ce: 0.2115, decode.acc_seg: 91.3793, loss: 0.2115 +2023-03-05 00:56:46,300 - mmseg - INFO - Iter [79650/80000] lr: 1.172e-06, eta: 0:01:07, time: 0.175, data_time: 0.007, memory: 52390, decode.loss_ce: 0.2127, decode.acc_seg: 91.3909, loss: 0.2127 +2023-03-05 00:56:54,829 - mmseg - INFO - Iter [79700/80000] lr: 1.172e-06, eta: 0:00:57, time: 0.171, data_time: 0.006, memory: 52390, decode.loss_ce: 0.2165, decode.acc_seg: 91.0291, loss: 0.2165 +2023-03-05 00:57:04,044 - mmseg - INFO - Iter [79750/80000] lr: 1.172e-06, eta: 0:00:47, time: 0.184, data_time: 0.007, memory: 52390, decode.loss_ce: 0.2031, decode.acc_seg: 91.5889, loss: 0.2031 +2023-03-05 00:57:12,822 - mmseg - INFO - Iter [79800/80000] lr: 1.172e-06, eta: 0:00:38, time: 0.176, data_time: 0.007, memory: 52390, decode.loss_ce: 0.2061, decode.acc_seg: 91.4753, loss: 0.2061 +2023-03-05 00:57:21,447 - mmseg - INFO - Iter [79850/80000] lr: 1.172e-06, eta: 0:00:28, time: 0.172, data_time: 0.006, memory: 52390, decode.loss_ce: 0.2134, decode.acc_seg: 91.2239, loss: 0.2134 +2023-03-05 00:57:30,516 - mmseg - INFO - Iter [79900/80000] lr: 1.172e-06, eta: 0:00:19, time: 0.181, data_time: 0.007, memory: 52390, decode.loss_ce: 0.2126, decode.acc_seg: 91.2939, loss: 0.2126 +2023-03-05 00:57:41,854 - mmseg - INFO - Iter [79950/80000] lr: 1.172e-06, eta: 0:00:09, time: 0.227, data_time: 0.052, memory: 52390, decode.loss_ce: 0.2057, decode.acc_seg: 91.5927, loss: 0.2057 +2023-03-05 00:57:50,445 - mmseg - INFO - Saving checkpoint at 80000 iterations +2023-03-05 00:57:51,112 - mmseg - INFO - Exp name: ablation_segformer_mit_b2_segformer_head_unet_fc_single_step_ade_pretrained_freeze_embed_80k_ade20k151_logits.py +2023-03-05 00:57:51,112 - mmseg - INFO - Iter [80000/80000] lr: 1.172e-06, eta: 0:00:00, time: 0.185, data_time: 0.006, memory: 52390, decode.loss_ce: 0.2111, decode.acc_seg: 91.3744, loss: 0.2111 +2023-03-05 00:58:06,767 - mmseg - INFO - per class results: +2023-03-05 00:58:06,773 - mmseg - INFO - ++---------------------+-------+-------+ +| Class | IoU | Acc | ++---------------------+-------+-------+ +| background | nan | nan | +| wall | 76.74 | 88.88 | +| building | 81.34 | 91.7 | +| sky | 94.33 | 97.31 | +| floor | 81.19 | 90.71 | +| tree | 73.51 | 87.93 | +| ceiling | 84.46 | 92.62 | +| road | 81.9 | 90.43 | +| bed | 86.98 | 94.88 | +| windowpane | 59.61 | 77.91 | +| grass | 65.78 | 81.24 | +| cabinet | 60.05 | 72.44 | +| sidewalk | 63.84 | 78.58 | +| person | 78.09 | 91.97 | +| earth | 35.64 | 49.78 | +| door | 43.86 | 56.2 | +| table | 58.61 | 75.33 | +| mountain | 56.32 | 71.01 | +| plant | 49.81 | 61.69 | +| curtain | 73.05 | 82.67 | +| chair | 54.21 | 68.36 | +| car | 80.49 | 92.44 | +| water | 57.49 | 77.16 | +| painting | 69.29 | 84.54 | +| sofa | 63.19 | 80.84 | +| shelf | 42.78 | 61.71 | +| house | 41.51 | 55.64 | +| sea | 61.4 | 76.83 | +| mirror | 63.5 | 72.14 | +| rug | 64.88 | 73.69 | +| field | 29.21 | 45.41 | +| armchair | 36.05 | 52.72 | +| seat | 65.72 | 82.83 | +| fence | 41.22 | 54.61 | +| desk | 45.48 | 66.3 | +| rock | 37.17 | 61.09 | +| wardrobe | 56.64 | 68.08 | +| lamp | 58.76 | 72.85 | +| bathtub | 75.34 | 83.06 | +| railing | 33.28 | 46.27 | +| cushion | 55.22 | 68.63 | +| base | 21.59 | 26.1 | +| box | 22.0 | 29.56 | +| column | 45.2 | 55.5 | +| signboard | 37.12 | 49.64 | +| chest of drawers | 36.55 | 55.54 | +| counter | 30.73 | 40.5 | +| sand | 41.39 | 58.43 | +| sink | 64.85 | 77.39 | +| skyscraper | 50.42 | 62.9 | +| fireplace | 73.27 | 84.87 | +| refrigerator | 70.3 | 83.84 | +| grandstand | 47.51 | 63.1 | +| path | 24.04 | 32.31 | +| stairs | 32.73 | 41.05 | +| runway | 66.84 | 85.52 | +| case | 48.67 | 58.86 | +| pool table | 91.39 | 94.29 | +| pillow | 61.09 | 73.23 | +| screen door | 64.98 | 71.79 | +| stairway | 23.81 | 36.13 | +| river | 11.58 | 20.95 | +| bridge | 33.93 | 39.63 | +| bookcase | 43.71 | 61.35 | +| blind | 38.72 | 42.46 | +| coffee table | 52.65 | 77.26 | +| toilet | 81.64 | 89.46 | +| flower | 37.65 | 53.52 | +| book | 42.55 | 63.72 | +| hill | 13.08 | 19.39 | +| bench | 40.6 | 53.58 | +| countertop | 53.15 | 68.77 | +| stove | 69.59 | 81.56 | +| palm | 49.22 | 67.76 | +| kitchen island | 38.59 | 59.47 | +| computer | 59.64 | 69.66 | +| swivel chair | 42.88 | 58.72 | +| boat | 69.85 | 84.6 | +| bar | 22.54 | 30.8 | +| arcade machine | 69.69 | 71.83 | +| hovel | 25.1 | 27.93 | +| bus | 78.22 | 90.41 | +| towel | 61.95 | 70.81 | +| light | 50.48 | 57.73 | +| truck | 15.15 | 20.33 | +| tower | 6.9 | 10.94 | +| chandelier | 62.66 | 79.93 | +| awning | 24.04 | 28.18 | +| streetlight | 23.9 | 31.5 | +| booth | 42.37 | 43.47 | +| television receiver | 63.88 | 75.57 | +| airplane | 57.03 | 62.71 | +| dirt track | 14.07 | 33.82 | +| apparel | 33.89 | 55.23 | +| pole | 18.21 | 23.32 | +| land | 2.84 | 3.74 | +| bannister | 10.77 | 14.92 | +| escalator | 23.86 | 25.91 | +| ottoman | 43.49 | 60.01 | +| bottle | 34.35 | 56.33 | +| buffet | 40.8 | 47.31 | +| poster | 22.37 | 32.64 | +| stage | 13.75 | 17.84 | +| van | 38.1 | 52.0 | +| ship | 76.11 | 92.17 | +| fountain | 10.59 | 10.88 | +| conveyer belt | 82.69 | 88.68 | +| canopy | 26.3 | 28.1 | +| washer | 78.87 | 81.27 | +| plaything | 21.2 | 29.97 | +| swimming pool | 75.44 | 82.08 | +| stool | 41.09 | 53.09 | +| barrel | 39.08 | 58.31 | +| basket | 25.0 | 35.68 | +| waterfall | 49.61 | 66.39 | +| tent | 93.74 | 97.46 | +| bag | 16.04 | 20.37 | +| minibike | 61.0 | 74.95 | +| cradle | 82.07 | 96.57 | +| oven | 48.64 | 60.65 | +| ball | 43.75 | 51.23 | +| food | 49.63 | 59.38 | +| step | 5.83 | 6.54 | +| tank | 49.2 | 54.5 | +| trade name | 26.91 | 30.65 | +| microwave | 76.44 | 83.48 | +| pot | 29.62 | 33.34 | +| animal | 53.52 | 59.12 | +| bicycle | 52.82 | 68.07 | +| lake | 57.21 | 63.04 | +| dishwasher | 64.51 | 76.46 | +| screen | 66.37 | 81.64 | +| blanket | 14.99 | 16.79 | +| sculpture | 57.21 | 78.01 | +| hood | 53.44 | 58.82 | +| sconce | 43.01 | 53.98 | +| vase | 30.57 | 46.11 | +| traffic light | 30.24 | 43.25 | +| tray | 4.53 | 7.09 | +| ashcan | 39.71 | 51.59 | +| fan | 55.89 | 65.26 | +| pier | 49.97 | 63.68 | +| crt screen | 8.87 | 23.23 | +| plate | 47.72 | 66.45 | +| monitor | 14.39 | 17.25 | +| bulletin board | 39.64 | 52.5 | +| shower | 1.31 | 5.0 | +| radiator | 56.22 | 62.77 | +| glass | 11.55 | 12.87 | +| clock | 32.27 | 35.54 | +| flag | 35.5 | 39.18 | ++---------------------+-------+-------+ +2023-03-05 00:58:06,773 - mmseg - INFO - Summary: +2023-03-05 00:58:06,774 - mmseg - INFO - ++-------+-------+-------+ +| aAcc | mIoU | mAcc | ++-------+-------+-------+ +| 82.31 | 47.35 | 58.26 | ++-------+-------+-------+ +2023-03-05 00:58:06,775 - mmseg - INFO - Exp name: ablation_segformer_mit_b2_segformer_head_unet_fc_single_step_ade_pretrained_freeze_embed_80k_ade20k151_logits.py +2023-03-05 00:58:06,775 - mmseg - INFO - Iter(val) [250] aAcc: 0.8231, mIoU: 0.4735, mAcc: 0.5826, IoU.background: nan, IoU.wall: 0.7674, IoU.building: 0.8134, IoU.sky: 0.9433, IoU.floor: 0.8119, IoU.tree: 0.7351, IoU.ceiling: 0.8446, IoU.road: 0.8190, IoU.bed : 0.8698, IoU.windowpane: 0.5961, IoU.grass: 0.6578, IoU.cabinet: 0.6005, IoU.sidewalk: 0.6384, IoU.person: 0.7809, IoU.earth: 0.3564, IoU.door: 0.4386, IoU.table: 0.5861, IoU.mountain: 0.5632, IoU.plant: 0.4981, IoU.curtain: 0.7305, IoU.chair: 0.5421, IoU.car: 0.8049, IoU.water: 0.5749, IoU.painting: 0.6929, IoU.sofa: 0.6319, IoU.shelf: 0.4278, IoU.house: 0.4151, IoU.sea: 0.6140, IoU.mirror: 0.6350, IoU.rug: 0.6488, IoU.field: 0.2921, IoU.armchair: 0.3605, IoU.seat: 0.6572, IoU.fence: 0.4122, IoU.desk: 0.4548, IoU.rock: 0.3717, IoU.wardrobe: 0.5664, IoU.lamp: 0.5876, IoU.bathtub: 0.7534, IoU.railing: 0.3328, IoU.cushion: 0.5522, IoU.base: 0.2159, IoU.box: 0.2200, IoU.column: 0.4520, IoU.signboard: 0.3712, IoU.chest of drawers: 0.3655, IoU.counter: 0.3073, IoU.sand: 0.4139, IoU.sink: 0.6485, IoU.skyscraper: 0.5042, IoU.fireplace: 0.7327, IoU.refrigerator: 0.7030, IoU.grandstand: 0.4751, IoU.path: 0.2404, IoU.stairs: 0.3273, IoU.runway: 0.6684, IoU.case: 0.4867, IoU.pool table: 0.9139, IoU.pillow: 0.6109, IoU.screen door: 0.6498, IoU.stairway: 0.2381, IoU.river: 0.1158, IoU.bridge: 0.3393, IoU.bookcase: 0.4371, IoU.blind: 0.3872, IoU.coffee table: 0.5265, IoU.toilet: 0.8164, IoU.flower: 0.3765, IoU.book: 0.4255, IoU.hill: 0.1308, IoU.bench: 0.4060, IoU.countertop: 0.5315, IoU.stove: 0.6959, IoU.palm: 0.4922, IoU.kitchen island: 0.3859, IoU.computer: 0.5964, IoU.swivel chair: 0.4288, IoU.boat: 0.6985, IoU.bar: 0.2254, IoU.arcade machine: 0.6969, IoU.hovel: 0.2510, IoU.bus: 0.7822, IoU.towel: 0.6195, IoU.light: 0.5048, IoU.truck: 0.1515, IoU.tower: 0.0690, IoU.chandelier: 0.6266, IoU.awning: 0.2404, IoU.streetlight: 0.2390, IoU.booth: 0.4237, IoU.television receiver: 0.6388, IoU.airplane: 0.5703, IoU.dirt track: 0.1407, IoU.apparel: 0.3389, IoU.pole: 0.1821, IoU.land: 0.0284, IoU.bannister: 0.1077, IoU.escalator: 0.2386, IoU.ottoman: 0.4349, IoU.bottle: 0.3435, IoU.buffet: 0.4080, IoU.poster: 0.2237, IoU.stage: 0.1375, IoU.van: 0.3810, IoU.ship: 0.7611, IoU.fountain: 0.1059, IoU.conveyer belt: 0.8269, IoU.canopy: 0.2630, IoU.washer: 0.7887, IoU.plaything: 0.2120, IoU.swimming pool: 0.7544, IoU.stool: 0.4109, IoU.barrel: 0.3908, IoU.basket: 0.2500, IoU.waterfall: 0.4961, IoU.tent: 0.9374, IoU.bag: 0.1604, IoU.minibike: 0.6100, IoU.cradle: 0.8207, IoU.oven: 0.4864, IoU.ball: 0.4375, IoU.food: 0.4963, IoU.step: 0.0583, IoU.tank: 0.4920, IoU.trade name: 0.2691, IoU.microwave: 0.7644, IoU.pot: 0.2962, IoU.animal: 0.5352, IoU.bicycle: 0.5282, IoU.lake: 0.5721, IoU.dishwasher: 0.6451, IoU.screen: 0.6637, IoU.blanket: 0.1499, IoU.sculpture: 0.5721, IoU.hood: 0.5344, IoU.sconce: 0.4301, IoU.vase: 0.3057, IoU.traffic light: 0.3024, IoU.tray: 0.0453, IoU.ashcan: 0.3971, IoU.fan: 0.5589, IoU.pier: 0.4997, IoU.crt screen: 0.0887, IoU.plate: 0.4772, IoU.monitor: 0.1439, IoU.bulletin board: 0.3964, IoU.shower: 0.0131, IoU.radiator: 0.5622, IoU.glass: 0.1155, IoU.clock: 0.3227, IoU.flag: 0.3550, Acc.background: nan, Acc.wall: 0.8888, Acc.building: 0.9170, Acc.sky: 0.9731, Acc.floor: 0.9071, Acc.tree: 0.8793, Acc.ceiling: 0.9262, Acc.road: 0.9043, Acc.bed : 0.9488, Acc.windowpane: 0.7791, Acc.grass: 0.8124, Acc.cabinet: 0.7244, Acc.sidewalk: 0.7858, Acc.person: 0.9197, Acc.earth: 0.4978, Acc.door: 0.5620, Acc.table: 0.7533, Acc.mountain: 0.7101, Acc.plant: 0.6169, Acc.curtain: 0.8267, Acc.chair: 0.6836, Acc.car: 0.9244, Acc.water: 0.7716, Acc.painting: 0.8454, Acc.sofa: 0.8084, Acc.shelf: 0.6171, Acc.house: 0.5564, Acc.sea: 0.7683, Acc.mirror: 0.7214, Acc.rug: 0.7369, Acc.field: 0.4541, Acc.armchair: 0.5272, Acc.seat: 0.8283, Acc.fence: 0.5461, Acc.desk: 0.6630, Acc.rock: 0.6109, Acc.wardrobe: 0.6808, Acc.lamp: 0.7285, Acc.bathtub: 0.8306, Acc.railing: 0.4627, Acc.cushion: 0.6863, Acc.base: 0.2610, Acc.box: 0.2956, Acc.column: 0.5550, Acc.signboard: 0.4964, Acc.chest of drawers: 0.5554, Acc.counter: 0.4050, Acc.sand: 0.5843, Acc.sink: 0.7739, Acc.skyscraper: 0.6290, Acc.fireplace: 0.8487, Acc.refrigerator: 0.8384, Acc.grandstand: 0.6310, Acc.path: 0.3231, Acc.stairs: 0.4105, Acc.runway: 0.8552, Acc.case: 0.5886, Acc.pool table: 0.9429, Acc.pillow: 0.7323, Acc.screen door: 0.7179, Acc.stairway: 0.3613, Acc.river: 0.2095, Acc.bridge: 0.3963, Acc.bookcase: 0.6135, Acc.blind: 0.4246, Acc.coffee table: 0.7726, Acc.toilet: 0.8946, Acc.flower: 0.5352, Acc.book: 0.6372, Acc.hill: 0.1939, Acc.bench: 0.5358, Acc.countertop: 0.6877, Acc.stove: 0.8156, Acc.palm: 0.6776, Acc.kitchen island: 0.5947, Acc.computer: 0.6966, Acc.swivel chair: 0.5872, Acc.boat: 0.8460, Acc.bar: 0.3080, Acc.arcade machine: 0.7183, Acc.hovel: 0.2793, Acc.bus: 0.9041, Acc.towel: 0.7081, Acc.light: 0.5773, Acc.truck: 0.2033, Acc.tower: 0.1094, Acc.chandelier: 0.7993, Acc.awning: 0.2818, Acc.streetlight: 0.3150, Acc.booth: 0.4347, Acc.television receiver: 0.7557, Acc.airplane: 0.6271, Acc.dirt track: 0.3382, Acc.apparel: 0.5523, Acc.pole: 0.2332, Acc.land: 0.0374, Acc.bannister: 0.1492, Acc.escalator: 0.2591, Acc.ottoman: 0.6001, Acc.bottle: 0.5633, Acc.buffet: 0.4731, Acc.poster: 0.3264, Acc.stage: 0.1784, Acc.van: 0.5200, Acc.ship: 0.9217, Acc.fountain: 0.1088, Acc.conveyer belt: 0.8868, Acc.canopy: 0.2810, Acc.washer: 0.8127, Acc.plaything: 0.2997, Acc.swimming pool: 0.8208, Acc.stool: 0.5309, Acc.barrel: 0.5831, Acc.basket: 0.3568, Acc.waterfall: 0.6639, Acc.tent: 0.9746, Acc.bag: 0.2037, Acc.minibike: 0.7495, Acc.cradle: 0.9657, Acc.oven: 0.6065, Acc.ball: 0.5123, Acc.food: 0.5938, Acc.step: 0.0654, Acc.tank: 0.5450, Acc.trade name: 0.3065, Acc.microwave: 0.8348, Acc.pot: 0.3334, Acc.animal: 0.5912, Acc.bicycle: 0.6807, Acc.lake: 0.6304, Acc.dishwasher: 0.7646, Acc.screen: 0.8164, Acc.blanket: 0.1679, Acc.sculpture: 0.7801, Acc.hood: 0.5882, Acc.sconce: 0.5398, Acc.vase: 0.4611, Acc.traffic light: 0.4325, Acc.tray: 0.0709, Acc.ashcan: 0.5159, Acc.fan: 0.6526, Acc.pier: 0.6368, Acc.crt screen: 0.2323, Acc.plate: 0.6645, Acc.monitor: 0.1725, Acc.bulletin board: 0.5250, Acc.shower: 0.0500, Acc.radiator: 0.6277, Acc.glass: 0.1287, Acc.clock: 0.3554, Acc.flag: 0.3918 diff --git a/ablation/ablation_segformer_mit_b2_segformer_head_unet_fc_single_step_ade_pretrained_freeze_embed_80k_ade20k151_logits/20230304_211228.log.json b/ablation/ablation_segformer_mit_b2_segformer_head_unet_fc_single_step_ade_pretrained_freeze_embed_80k_ade20k151_logits/20230304_211228.log.json new file mode 100644 index 0000000000000000000000000000000000000000..44b963407d5ef63838e85cca3efd623c8e5989b0 --- /dev/null +++ b/ablation/ablation_segformer_mit_b2_segformer_head_unet_fc_single_step_ade_pretrained_freeze_embed_80k_ade20k151_logits/20230304_211228.log.json @@ -0,0 +1,1452 @@ +{"env_info": "sys.platform: linux\nPython: 3.7.16 (default, Jan 17 2023, 22:20:44) [GCC 11.2.0]\nCUDA available: True\nGPU 0,1,2,3,4,5,6,7: NVIDIA A100-SXM4-80GB\nCUDA_HOME: /mnt/petrelfs/laizeqiang/miniconda3/envs/torch\nNVCC: Cuda compilation tools, release 11.6, V11.6.124\nGCC: gcc (GCC) 4.8.5 20150623 (Red Hat 4.8.5-44)\nPyTorch: 1.13.1\nPyTorch compiling details: PyTorch built with:\n - GCC 9.3\n - C++ Version: 201402\n - Intel(R) oneAPI Math Kernel Library Version 2021.4-Product Build 20210904 for Intel(R) 64 architecture applications\n - Intel(R) MKL-DNN v2.6.0 (Git Hash 52b5f107dd9cf10910aaa19cb47f3abf9b349815)\n - OpenMP 201511 (a.k.a. OpenMP 4.5)\n - LAPACK is enabled (usually provided by MKL)\n - NNPACK is enabled\n - CPU capability usage: AVX2\n - CUDA Runtime 11.6\n - NVCC architecture flags: -gencode;arch=compute_37,code=sm_37;-gencode;arch=compute_50,code=sm_50;-gencode;arch=compute_60,code=sm_60;-gencode;arch=compute_61,code=sm_61;-gencode;arch=compute_70,code=sm_70;-gencode;arch=compute_75,code=sm_75;-gencode;arch=compute_80,code=sm_80;-gencode;arch=compute_86,code=sm_86;-gencode;arch=compute_37,code=compute_37\n - CuDNN 8.3.2 (built against CUDA 11.5)\n - Magma 2.6.1\n - Build settings: BLAS_INFO=mkl, BUILD_TYPE=Release, CUDA_VERSION=11.6, CUDNN_VERSION=8.3.2, CXX_COMPILER=/opt/rh/devtoolset-9/root/usr/bin/c++, CXX_FLAGS= -fabi-version=11 -Wno-deprecated -fvisibility-inlines-hidden -DUSE_PTHREADPOOL -fopenmp -DNDEBUG -DUSE_KINETO -DUSE_FBGEMM -DUSE_QNNPACK -DUSE_PYTORCH_QNNPACK -DUSE_XNNPACK -DSYMBOLICATE_MOBILE_DEBUG_HANDLE -DEDGE_PROFILER_USE_KINETO -O2 -fPIC -Wno-narrowing -Wall -Wextra -Werror=return-type -Werror=non-virtual-dtor -Wno-missing-field-initializers -Wno-type-limits -Wno-array-bounds -Wno-unknown-pragmas -Wunused-local-typedefs -Wno-unused-parameter -Wno-unused-function -Wno-unused-result -Wno-strict-overflow -Wno-strict-aliasing -Wno-error=deprecated-declarations -Wno-stringop-overflow -Wno-psabi -Wno-error=pedantic -Wno-error=redundant-decls -Wno-error=old-style-cast -fdiagnostics-color=always -faligned-new -Wno-unused-but-set-variable -Wno-maybe-uninitialized -fno-math-errno -fno-trapping-math -Werror=format -Werror=cast-function-type -Wno-stringop-overflow, LAPACK_INFO=mkl, PERF_WITH_AVX=1, PERF_WITH_AVX2=1, PERF_WITH_AVX512=1, TORCH_VERSION=1.13.1, USE_CUDA=ON, USE_CUDNN=ON, USE_EXCEPTION_PTR=1, USE_GFLAGS=OFF, USE_GLOG=OFF, USE_MKL=ON, USE_MKLDNN=ON, USE_MPI=OFF, USE_NCCL=ON, USE_NNPACK=ON, USE_OPENMP=ON, USE_ROCM=OFF, \n\nTorchVision: 0.14.1\nOpenCV: 4.7.0\nMMCV: 1.7.1\nMMCV Compiler: GCC 9.3\nMMCV CUDA Compiler: 11.6\nMMSegmentation: 0.30.0+6749699", "seed": 1340171616, "exp_name": "ablation_segformer_mit_b2_segformer_head_unet_fc_single_step_ade_pretrained_freeze_embed_80k_ade20k151_logits.py", "mmseg_version": "0.30.0+6749699", "config": "norm_cfg = dict(type='SyncBN', requires_grad=True)\ncheckpoint = 'pretrained/segformer_mit-b2_512x512_160k_ade20k_20220620_114047-64e4feca.pth'\nmodel = dict(\n type='EncoderDecoderFreeze',\n freeze_parameters=['backbone', 'decode_head'],\n pretrained=\n 'pretrained/segformer_mit-b2_512x512_160k_ade20k_20220620_114047-64e4feca.pth',\n backbone=dict(\n type='MixVisionTransformerCustomInitWeights',\n in_channels=3,\n embed_dims=64,\n num_stages=4,\n num_layers=[3, 4, 6, 3],\n num_heads=[1, 2, 5, 8],\n patch_sizes=[7, 3, 3, 3],\n sr_ratios=[8, 4, 2, 1],\n out_indices=(0, 1, 2, 3),\n mlp_ratio=4,\n qkv_bias=True,\n drop_rate=0.0,\n attn_drop_rate=0.0,\n drop_path_rate=0.1,\n pretrained=\n 'pretrained/segformer_mit-b2_512x512_160k_ade20k_20220620_114047-64e4feca.pth'\n ),\n decode_head=dict(\n type='SegformerHeadUnetFCHeadSingleStepLogits',\n pretrained=\n 'pretrained/segformer_mit-b2_512x512_160k_ade20k_20220620_114047-64e4feca.pth',\n dim=128,\n out_dim=256,\n unet_channels=166,\n dim_mults=[1, 1, 1],\n cat_embedding_dim=16,\n in_channels=[64, 128, 320, 512],\n in_index=[0, 1, 2, 3],\n channels=256,\n dropout_ratio=0.1,\n num_classes=151,\n norm_cfg=dict(type='SyncBN', requires_grad=True),\n align_corners=False,\n ignore_index=0,\n loss_decode=dict(\n type='CrossEntropyLoss', use_sigmoid=False, loss_weight=1.0)),\n train_cfg=dict(),\n test_cfg=dict(mode='whole'))\ndataset_type = 'ADE20K151Dataset'\ndata_root = 'data/ade/ADEChallengeData2016'\nimg_norm_cfg = dict(\n mean=[123.675, 116.28, 103.53], std=[58.395, 57.12, 57.375], to_rgb=True)\ncrop_size = (512, 512)\ntrain_pipeline = [\n dict(type='LoadImageFromFile'),\n dict(type='LoadAnnotations', reduce_zero_label=False),\n dict(type='Resize', img_scale=(2048, 512), ratio_range=(0.5, 2.0)),\n dict(type='RandomCrop', crop_size=(512, 512), cat_max_ratio=0.75),\n dict(type='RandomFlip', prob=0.5),\n dict(type='PhotoMetricDistortion'),\n dict(\n type='Normalize',\n mean=[123.675, 116.28, 103.53],\n std=[58.395, 57.12, 57.375],\n to_rgb=True),\n dict(type='Pad', size=(512, 512), pad_val=0, seg_pad_val=0),\n dict(type='DefaultFormatBundle'),\n dict(type='Collect', keys=['img', 'gt_semantic_seg'])\n]\ntest_pipeline = [\n dict(type='LoadImageFromFile'),\n dict(\n type='MultiScaleFlipAug',\n img_scale=(2048, 512),\n flip=False,\n transforms=[\n dict(type='Resize', keep_ratio=True),\n dict(type='RandomFlip'),\n dict(\n type='Normalize',\n mean=[123.675, 116.28, 103.53],\n std=[58.395, 57.12, 57.375],\n to_rgb=True),\n dict(type='Pad', size_divisor=16, pad_val=0, seg_pad_val=0),\n dict(type='ImageToTensor', keys=['img']),\n dict(type='Collect', keys=['img'])\n ])\n]\ndata = dict(\n samples_per_gpu=4,\n workers_per_gpu=4,\n train=dict(\n type='ADE20K151Dataset',\n data_root='data/ade/ADEChallengeData2016',\n img_dir='images/training',\n ann_dir='annotations/training',\n pipeline=[\n dict(type='LoadImageFromFile'),\n dict(type='LoadAnnotations', reduce_zero_label=False),\n dict(type='Resize', img_scale=(2048, 512), ratio_range=(0.5, 2.0)),\n dict(type='RandomCrop', crop_size=(512, 512), cat_max_ratio=0.75),\n dict(type='RandomFlip', prob=0.5),\n dict(type='PhotoMetricDistortion'),\n dict(\n type='Normalize',\n mean=[123.675, 116.28, 103.53],\n std=[58.395, 57.12, 57.375],\n to_rgb=True),\n dict(type='Pad', size=(512, 512), pad_val=0, seg_pad_val=0),\n dict(type='DefaultFormatBundle'),\n dict(type='Collect', keys=['img', 'gt_semantic_seg'])\n ]),\n val=dict(\n type='ADE20K151Dataset',\n data_root='data/ade/ADEChallengeData2016',\n img_dir='images/validation',\n ann_dir='annotations/validation',\n pipeline=[\n dict(type='LoadImageFromFile'),\n dict(\n type='MultiScaleFlipAug',\n img_scale=(2048, 512),\n flip=False,\n transforms=[\n dict(type='Resize', keep_ratio=True),\n dict(type='RandomFlip'),\n dict(\n type='Normalize',\n mean=[123.675, 116.28, 103.53],\n std=[58.395, 57.12, 57.375],\n to_rgb=True),\n dict(\n type='Pad', size_divisor=16, pad_val=0, seg_pad_val=0),\n dict(type='ImageToTensor', keys=['img']),\n dict(type='Collect', keys=['img'])\n ])\n ]),\n test=dict(\n type='ADE20K151Dataset',\n data_root='data/ade/ADEChallengeData2016',\n img_dir='images/validation',\n ann_dir='annotations/validation',\n pipeline=[\n dict(type='LoadImageFromFile'),\n dict(\n type='MultiScaleFlipAug',\n img_scale=(2048, 512),\n flip=False,\n transforms=[\n dict(type='Resize', keep_ratio=True),\n dict(type='RandomFlip'),\n dict(\n type='Normalize',\n mean=[123.675, 116.28, 103.53],\n std=[58.395, 57.12, 57.375],\n to_rgb=True),\n dict(\n type='Pad', size_divisor=16, pad_val=0, seg_pad_val=0),\n dict(type='ImageToTensor', keys=['img']),\n dict(type='Collect', keys=['img'])\n ])\n ]))\nlog_config = dict(\n interval=50, hooks=[dict(type='TextLoggerHook', by_epoch=False)])\ndist_params = dict(backend='nccl')\nlog_level = 'INFO'\nload_from = None\nresume_from = None\nworkflow = [('train', 1)]\ncudnn_benchmark = True\noptimizer = dict(\n type='AdamW', lr=0.00015, betas=[0.9, 0.96], weight_decay=0.045)\noptimizer_config = dict()\nlr_config = dict(\n policy='step',\n warmup='linear',\n warmup_iters=1000,\n warmup_ratio=1e-06,\n step=10000,\n gamma=0.5,\n min_lr=1e-06,\n by_epoch=False)\nrunner = dict(type='IterBasedRunner', max_iters=80000)\ncheckpoint_config = dict(by_epoch=False, interval=8000)\nevaluation = dict(\n interval=8000, metric='mIoU', pre_eval=True, save_best='mIoU')\nwork_dir = './work_dirs2/ablation_segformer_mit_b2_segformer_head_unet_fc_single_step_ade_pretrained_freeze_embed_80k_ade20k151_logits'\ngpu_ids = range(0, 8)\nauto_resume = True\ndevice = 'cuda'\nseed = 1340171616\n", "CLASSES": ["background", "wall", "building", "sky", "floor", "tree", "ceiling", "road", "bed ", "windowpane", "grass", "cabinet", "sidewalk", "person", "earth", "door", "table", "mountain", "plant", "curtain", "chair", "car", "water", "painting", "sofa", "shelf", "house", "sea", "mirror", "rug", "field", "armchair", "seat", "fence", "desk", "rock", "wardrobe", "lamp", "bathtub", "railing", "cushion", "base", "box", "column", "signboard", "chest of drawers", "counter", "sand", "sink", "skyscraper", "fireplace", "refrigerator", "grandstand", "path", "stairs", "runway", "case", "pool table", "pillow", "screen door", "stairway", "river", "bridge", "bookcase", "blind", "coffee table", "toilet", "flower", "book", "hill", "bench", "countertop", "stove", "palm", "kitchen island", "computer", "swivel chair", "boat", "bar", "arcade machine", "hovel", "bus", "towel", "light", "truck", "tower", "chandelier", "awning", "streetlight", "booth", "television receiver", "airplane", "dirt track", "apparel", "pole", "land", "bannister", "escalator", "ottoman", "bottle", "buffet", "poster", "stage", "van", "ship", "fountain", "conveyer belt", "canopy", "washer", "plaything", "swimming pool", "stool", "barrel", "basket", "waterfall", "tent", "bag", "minibike", "cradle", "oven", "ball", "food", "step", "tank", "trade name", "microwave", "pot", "animal", "bicycle", "lake", "dishwasher", "screen", "blanket", "sculpture", "hood", "sconce", "vase", "traffic light", "tray", "ashcan", "fan", "pier", "crt screen", "plate", "monitor", "bulletin board", "shower", "radiator", "glass", "clock", "flag"], "PALETTE": [[0, 0, 0], [120, 120, 120], [180, 120, 120], [6, 230, 230], [80, 50, 50], [4, 200, 3], [120, 120, 80], [140, 140, 140], [204, 5, 255], [230, 230, 230], [4, 250, 7], [224, 5, 255], [235, 255, 7], [150, 5, 61], [120, 120, 70], [8, 255, 51], [255, 6, 82], [143, 255, 140], [204, 255, 4], [255, 51, 7], [204, 70, 3], [0, 102, 200], [61, 230, 250], [255, 6, 51], [11, 102, 255], [255, 7, 71], [255, 9, 224], [9, 7, 230], [220, 220, 220], [255, 9, 92], [112, 9, 255], [8, 255, 214], [7, 255, 224], [255, 184, 6], [10, 255, 71], [255, 41, 10], [7, 255, 255], [224, 255, 8], [102, 8, 255], [255, 61, 6], [255, 194, 7], [255, 122, 8], [0, 255, 20], [255, 8, 41], [255, 5, 153], [6, 51, 255], [235, 12, 255], [160, 150, 20], [0, 163, 255], [140, 140, 140], [250, 10, 15], [20, 255, 0], [31, 255, 0], [255, 31, 0], [255, 224, 0], [153, 255, 0], [0, 0, 255], [255, 71, 0], [0, 235, 255], [0, 173, 255], [31, 0, 255], [11, 200, 200], [255, 82, 0], [0, 255, 245], [0, 61, 255], [0, 255, 112], [0, 255, 133], [255, 0, 0], [255, 163, 0], [255, 102, 0], [194, 255, 0], [0, 143, 255], [51, 255, 0], [0, 82, 255], [0, 255, 41], [0, 255, 173], [10, 0, 255], [173, 255, 0], [0, 255, 153], [255, 92, 0], [255, 0, 255], [255, 0, 245], [255, 0, 102], [255, 173, 0], [255, 0, 20], [255, 184, 184], [0, 31, 255], [0, 255, 61], [0, 71, 255], [255, 0, 204], [0, 255, 194], [0, 255, 82], [0, 10, 255], [0, 112, 255], [51, 0, 255], [0, 194, 255], [0, 122, 255], [0, 255, 163], [255, 153, 0], [0, 255, 10], [255, 112, 0], [143, 255, 0], [82, 0, 255], [163, 255, 0], [255, 235, 0], [8, 184, 170], [133, 0, 255], [0, 255, 92], [184, 0, 255], [255, 0, 31], [0, 184, 255], [0, 214, 255], [255, 0, 112], [92, 255, 0], [0, 224, 255], [112, 224, 255], [70, 184, 160], [163, 0, 255], [153, 0, 255], [71, 255, 0], [255, 0, 163], [255, 204, 0], [255, 0, 143], [0, 255, 235], [133, 255, 0], [255, 0, 235], [245, 0, 255], [255, 0, 122], [255, 245, 0], [10, 190, 212], [214, 255, 0], [0, 204, 255], [20, 0, 255], [255, 255, 0], [0, 153, 255], [0, 41, 255], [0, 255, 204], [41, 0, 255], [41, 255, 0], [173, 0, 255], [0, 245, 255], [71, 0, 255], [122, 0, 255], [0, 255, 184], [0, 92, 255], [184, 255, 0], [0, 133, 255], [255, 214, 0], [25, 194, 194], [102, 255, 0], [92, 0, 255]], "hook_msgs": {}} +{"mode": "train", "epoch": 1, "iter": 8000, "lr": 0.00015, "memory": 19833, "data_time": 0.47485, "decode.loss_ce": 0.39765, "decode.acc_seg": 85.8395, "loss": 0.39765, "time": 6.53204} +{"mode": "val", "epoch": 1, "iter": 250, "lr": 0.00015, "aAcc": 0.8016, "mIoU": 0.4262, "mAcc": 0.5519, "IoU.background": NaN, "IoU.wall": 0.7483, "IoU.building": 0.7777, "IoU.sky": 0.9363, "IoU.floor": 0.7977, "IoU.tree": 0.6749, "IoU.ceiling": 0.812, "IoU.road": 0.792, "IoU.bed ": 0.8561, "IoU.windowpane": 0.5848, "IoU.grass": 0.6125, "IoU.cabinet": 0.5595, "IoU.sidewalk": 0.5807, "IoU.person": 0.735, "IoU.earth": 0.3475, "IoU.door": 0.3973, "IoU.table": 0.5265, "IoU.mountain": 0.5507, "IoU.plant": 0.4789, "IoU.curtain": 0.7105, "IoU.chair": 0.5016, "IoU.car": 0.7535, "IoU.water": 0.5594, "IoU.painting": 0.6736, "IoU.sofa": 0.5965, "IoU.shelf": 0.3974, "IoU.house": 0.4192, "IoU.sea": 0.594, "IoU.mirror": 0.6083, "IoU.rug": 0.608, "IoU.field": 0.273, "IoU.armchair": 0.36, "IoU.seat": 0.6278, "IoU.fence": 0.2438, "IoU.desk": 0.4204, "IoU.rock": 0.358, "IoU.wardrobe": 0.523, "IoU.lamp": 0.4904, "IoU.bathtub": 0.6196, "IoU.railing": 0.2339, "IoU.cushion": 0.5035, "IoU.base": 0.1898, "IoU.box": 0.1672, "IoU.column": 0.4236, "IoU.signboard": 0.3295, "IoU.chest of drawers": 0.362, "IoU.counter": 0.2266, "IoU.sand": 0.3919, "IoU.sink": 0.6089, "IoU.skyscraper": 0.4741, "IoU.fireplace": 0.6971, "IoU.refrigerator": 0.7005, "IoU.grandstand": 0.47, "IoU.path": 0.1719, "IoU.stairs": 0.1419, "IoU.runway": 0.6641, "IoU.case": 0.5199, "IoU.pool table": 0.8881, "IoU.pillow": 0.5119, "IoU.screen door": 0.5377, "IoU.stairway": 0.2169, "IoU.river": 0.1033, "IoU.bridge": 0.2452, "IoU.bookcase": 0.3778, "IoU.blind": 0.3438, "IoU.coffee table": 0.5125, "IoU.toilet": 0.7606, "IoU.flower": 0.3278, "IoU.book": 0.4313, "IoU.hill": 0.1346, "IoU.bench": 0.3833, "IoU.countertop": 0.4916, "IoU.stove": 0.6762, "IoU.palm": 0.4742, "IoU.kitchen island": 0.34, "IoU.computer": 0.5635, "IoU.swivel chair": 0.3606, "IoU.boat": 0.628, "IoU.bar": 0.2361, "IoU.arcade machine": 0.6506, "IoU.hovel": 0.2042, "IoU.bus": 0.7567, "IoU.towel": 0.5828, "IoU.light": 0.3798, "IoU.truck": 0.1438, "IoU.tower": 0.1004, "IoU.chandelier": 0.5522, "IoU.awning": 0.1379, "IoU.streetlight": 0.1804, "IoU.booth": 0.4396, "IoU.television receiver": 0.6241, "IoU.airplane": 0.548, "IoU.dirt track": 0.1099, "IoU.apparel": 0.2812, "IoU.pole": 0.1195, "IoU.land": 0.0281, "IoU.bannister": 0.0418, "IoU.escalator": 0.2023, "IoU.ottoman": 0.3575, "IoU.bottle": 0.2473, "IoU.buffet": 0.4351, "IoU.poster": 0.2096, "IoU.stage": 0.1326, "IoU.van": 0.3071, "IoU.ship": 0.7613, "IoU.fountain": 0.0664, "IoU.conveyer belt": 0.8165, "IoU.canopy": 0.2237, "IoU.washer": 0.8141, "IoU.plaything": 0.1851, "IoU.swimming pool": 0.7165, "IoU.stool": 0.3255, "IoU.barrel": 0.2459, "IoU.basket": 0.2024, "IoU.waterfall": 0.501, "IoU.tent": 0.9409, "IoU.bag": 0.089, "IoU.minibike": 0.5459, "IoU.cradle": 0.7996, "IoU.oven": 0.4096, "IoU.ball": 0.3852, "IoU.food": 0.3686, "IoU.step": 0.0494, "IoU.tank": 0.4927, "IoU.trade name": 0.1639, "IoU.microwave": 0.7189, "IoU.pot": 0.3055, "IoU.animal": 0.4784, "IoU.bicycle": 0.369, "IoU.lake": 0.5628, "IoU.dishwasher": 0.6081, "IoU.screen": 0.5849, "IoU.blanket": 0.1324, "IoU.sculpture": 0.4228, "IoU.hood": 0.4418, "IoU.sconce": 0.2276, "IoU.vase": 0.2666, "IoU.traffic light": 0.2304, "IoU.tray": 0.0117, "IoU.ashcan": 0.3079, "IoU.fan": 0.4804, "IoU.pier": 0.2442, "IoU.crt screen": 0.0886, "IoU.plate": 0.2739, "IoU.monitor": 0.0761, "IoU.bulletin board": 0.4151, "IoU.shower": 0.0029, "IoU.radiator": 0.3554, "IoU.glass": 0.0259, "IoU.clock": 0.2431, "IoU.flag": 0.2515, "Acc.background": NaN, "Acc.wall": 0.8597, "Acc.building": 0.9378, "Acc.sky": 0.9658, "Acc.floor": 0.895, "Acc.tree": 0.7916, "Acc.ceiling": 0.9302, "Acc.road": 0.8518, "Acc.bed ": 0.9384, "Acc.windowpane": 0.737, "Acc.grass": 0.6861, "Acc.cabinet": 0.6386, "Acc.sidewalk": 0.8318, "Acc.person": 0.932, "Acc.earth": 0.476, "Acc.door": 0.4878, "Acc.table": 0.7869, "Acc.mountain": 0.6736, "Acc.plant": 0.5852, "Acc.curtain": 0.8303, "Acc.chair": 0.679, "Acc.car": 0.9355, "Acc.water": 0.7354, "Acc.painting": 0.8394, "Acc.sofa": 0.7043, "Acc.shelf": 0.764, "Acc.house": 0.6172, "Acc.sea": 0.7616, "Acc.mirror": 0.7774, "Acc.rug": 0.7366, "Acc.field": 0.451, "Acc.armchair": 0.6034, "Acc.seat": 0.8327, "Acc.fence": 0.2657, "Acc.desk": 0.6561, "Acc.rock": 0.5881, "Acc.wardrobe": 0.7716, "Acc.lamp": 0.8165, "Acc.bathtub": 0.6458, "Acc.railing": 0.2444, "Acc.cushion": 0.6619, "Acc.base": 0.2295, "Acc.box": 0.2221, "Acc.column": 0.5504, "Acc.signboard": 0.3927, "Acc.chest of drawers": 0.4764, "Acc.counter": 0.2574, "Acc.sand": 0.6582, "Acc.sink": 0.7698, "Acc.skyscraper": 0.6555, "Acc.fireplace": 0.8262, "Acc.refrigerator": 0.7997, "Acc.grandstand": 0.5961, "Acc.path": 0.2709, "Acc.stairs": 0.1494, "Acc.runway": 0.8841, "Acc.case": 0.6767, "Acc.pool table": 0.917, "Acc.pillow": 0.5968, "Acc.screen door": 0.5534, "Acc.stairway": 0.3554, "Acc.river": 0.1912, "Acc.bridge": 0.2633, "Acc.bookcase": 0.4404, "Acc.blind": 0.3782, "Acc.coffee table": 0.7673, "Acc.toilet": 0.9025, "Acc.flower": 0.4656, "Acc.book": 0.5906, "Acc.hill": 0.2131, "Acc.bench": 0.476, "Acc.countertop": 0.596, "Acc.stove": 0.8492, "Acc.palm": 0.7435, "Acc.kitchen island": 0.4849, "Acc.computer": 0.7113, "Acc.swivel chair": 0.4694, "Acc.boat": 0.8453, "Acc.bar": 0.3257, "Acc.arcade machine": 0.9542, "Acc.hovel": 0.2263, "Acc.bus": 0.8236, "Acc.towel": 0.6695, "Acc.light": 0.4434, "Acc.truck": 0.1791, "Acc.tower": 0.1658, "Acc.chandelier": 0.8076, "Acc.awning": 0.1498, "Acc.streetlight": 0.2322, "Acc.booth": 0.5517, "Acc.television receiver": 0.7874, "Acc.airplane": 0.6361, "Acc.dirt track": 0.3367, "Acc.apparel": 0.5802, "Acc.pole": 0.1572, "Acc.land": 0.0409, "Acc.bannister": 0.0483, "Acc.escalator": 0.2212, "Acc.ottoman": 0.6384, "Acc.bottle": 0.3525, "Acc.buffet": 0.4935, "Acc.poster": 0.2644, "Acc.stage": 0.198, "Acc.van": 0.3645, "Acc.ship": 0.8515, "Acc.fountain": 0.0675, "Acc.conveyer belt": 0.8612, "Acc.canopy": 0.28, "Acc.washer": 0.8526, "Acc.plaything": 0.3811, "Acc.swimming pool": 0.8049, "Acc.stool": 0.548, "Acc.barrel": 0.4567, "Acc.basket": 0.4161, "Acc.waterfall": 0.6436, "Acc.tent": 0.9792, "Acc.bag": 0.0958, "Acc.minibike": 0.8184, "Acc.cradle": 0.8817, "Acc.oven": 0.6146, "Acc.ball": 0.6, "Acc.food": 0.5266, "Acc.step": 0.0566, "Acc.tank": 0.5414, "Acc.trade name": 0.1696, "Acc.microwave": 0.8475, "Acc.pot": 0.423, "Acc.animal": 0.6529, "Acc.bicycle": 0.5291, "Acc.lake": 0.6152, "Acc.dishwasher": 0.6948, "Acc.screen": 0.6475, "Acc.blanket": 0.1462, "Acc.sculpture": 0.7865, "Acc.hood": 0.7123, "Acc.sconce": 0.2518, "Acc.vase": 0.343, "Acc.traffic light": 0.3058, "Acc.tray": 0.0141, "Acc.ashcan": 0.3839, "Acc.fan": 0.7172, "Acc.pier": 0.7796, "Acc.crt screen": 0.2936, "Acc.plate": 0.7899, "Acc.monitor": 0.0899, "Acc.bulletin board": 0.5658, "Acc.shower": 0.0138, "Acc.radiator": 0.3698, "Acc.glass": 0.0273, "Acc.clock": 0.2824, "Acc.flag": 0.2603} +{"mode": "train", "epoch": 1, "iter": 8050, "lr": 0.00015, "memory": 52390, "data_time": 4.51195, "decode.loss_ce": 0.28071, "decode.acc_seg": 89.10716, "loss": 0.28071, "time": 4.69944} +{"mode": "train", "epoch": 1, "iter": 8100, "lr": 0.00015, "memory": 52390, "data_time": 0.00656, "decode.loss_ce": 0.28093, "decode.acc_seg": 89.03607, "loss": 0.28093, "time": 0.17782} +{"mode": "train", "epoch": 1, "iter": 8150, "lr": 0.00015, "memory": 52390, "data_time": 0.00609, "decode.loss_ce": 0.2906, "decode.acc_seg": 88.70487, "loss": 0.2906, "time": 0.1874} +{"mode": "train", "epoch": 1, "iter": 8200, "lr": 0.00015, "memory": 52390, "data_time": 0.00621, "decode.loss_ce": 0.28893, "decode.acc_seg": 88.47572, "loss": 0.28893, "time": 0.18082} +{"mode": "train", "epoch": 1, "iter": 8250, "lr": 0.00015, "memory": 52390, "data_time": 0.00615, "decode.loss_ce": 0.27412, "decode.acc_seg": 89.16998, "loss": 0.27412, "time": 0.17437} +{"mode": "train", "epoch": 1, "iter": 8300, "lr": 0.00015, "memory": 52390, "data_time": 0.00617, "decode.loss_ce": 0.28095, "decode.acc_seg": 88.80507, "loss": 0.28095, "time": 0.1745} +{"mode": "train", "epoch": 1, "iter": 8350, "lr": 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b/ablation/ablation_segformer_mit_b2_segformer_head_unet_fc_single_step_ade_pretrained_freeze_embed_80k_ade20k151_logits/ablation_segformer_mit_b2_segformer_head_unet_fc_single_step_ade_pretrained_freeze_embed_80k_ade20k151_logits.py new file mode 100644 index 0000000000000000000000000000000000000000..90e152e5d751404f08d968b72582f4b672fc7034 --- /dev/null +++ b/ablation/ablation_segformer_mit_b2_segformer_head_unet_fc_single_step_ade_pretrained_freeze_embed_80k_ade20k151_logits/ablation_segformer_mit_b2_segformer_head_unet_fc_single_step_ade_pretrained_freeze_embed_80k_ade20k151_logits.py @@ -0,0 +1,184 @@ +norm_cfg = dict(type='SyncBN', requires_grad=True) +checkpoint = 'pretrained/segformer_mit-b2_512x512_160k_ade20k_20220620_114047-64e4feca.pth' +model = dict( + type='EncoderDecoderFreeze', + freeze_parameters=['backbone', 'decode_head'], + pretrained= + 'pretrained/segformer_mit-b2_512x512_160k_ade20k_20220620_114047-64e4feca.pth', + backbone=dict( + type='MixVisionTransformerCustomInitWeights', + in_channels=3, + embed_dims=64, + num_stages=4, + num_layers=[3, 4, 6, 3], + num_heads=[1, 2, 5, 8], + patch_sizes=[7, 3, 3, 3], + sr_ratios=[8, 4, 2, 1], + out_indices=(0, 1, 2, 3), + mlp_ratio=4, + qkv_bias=True, + drop_rate=0.0, + attn_drop_rate=0.0, + drop_path_rate=0.1), + decode_head=dict( + type='SegformerHeadUnetFCHeadSingleStepLogits', + pretrained= + 'pretrained/segformer_mit-b2_512x512_160k_ade20k_20220620_114047-64e4feca.pth', + dim=128, + out_dim=256, + unet_channels=166, + dim_mults=[1, 1, 1], + cat_embedding_dim=16, + in_channels=[64, 128, 320, 512], + in_index=[0, 1, 2, 3], + channels=256, + dropout_ratio=0.1, + num_classes=151, + norm_cfg=dict(type='SyncBN', requires_grad=True), + align_corners=False, + ignore_index=0, + loss_decode=dict( + type='CrossEntropyLoss', use_sigmoid=False, loss_weight=1.0)), + train_cfg=dict(), + test_cfg=dict(mode='whole')) +dataset_type = 'ADE20K151Dataset' +data_root = 'data/ade/ADEChallengeData2016' +img_norm_cfg = dict( + mean=[123.675, 116.28, 103.53], std=[58.395, 57.12, 57.375], to_rgb=True) +crop_size = (512, 512) +train_pipeline = [ + dict(type='LoadImageFromFile'), + dict(type='LoadAnnotations', reduce_zero_label=False), + dict(type='Resize', img_scale=(2048, 512), ratio_range=(0.5, 2.0)), + dict(type='RandomCrop', crop_size=(512, 512), cat_max_ratio=0.75), + dict(type='RandomFlip', prob=0.5), + dict(type='PhotoMetricDistortion'), + dict( + type='Normalize', + mean=[123.675, 116.28, 103.53], + std=[58.395, 57.12, 57.375], + to_rgb=True), + dict(type='Pad', size=(512, 512), pad_val=0, seg_pad_val=0), + dict(type='DefaultFormatBundle'), + dict(type='Collect', keys=['img', 'gt_semantic_seg']) +] +test_pipeline = [ + dict(type='LoadImageFromFile'), + dict( + type='MultiScaleFlipAug', + img_scale=(2048, 512), + flip=False, + transforms=[ + dict(type='Resize', keep_ratio=True), + dict(type='RandomFlip'), + dict( + type='Normalize', + mean=[123.675, 116.28, 103.53], + std=[58.395, 57.12, 57.375], + to_rgb=True), + dict(type='Pad', size_divisor=16, pad_val=0, seg_pad_val=0), + dict(type='ImageToTensor', keys=['img']), + dict(type='Collect', keys=['img']) + ]) +] +data = dict( + samples_per_gpu=4, + workers_per_gpu=4, + train=dict( + type='ADE20K151Dataset', + data_root='data/ade/ADEChallengeData2016', + img_dir='images/training', + ann_dir='annotations/training', + pipeline=[ + dict(type='LoadImageFromFile'), + dict(type='LoadAnnotations', reduce_zero_label=False), + dict(type='Resize', img_scale=(2048, 512), ratio_range=(0.5, 2.0)), + dict(type='RandomCrop', crop_size=(512, 512), cat_max_ratio=0.75), + dict(type='RandomFlip', prob=0.5), + dict(type='PhotoMetricDistortion'), + dict( + type='Normalize', + mean=[123.675, 116.28, 103.53], + std=[58.395, 57.12, 57.375], + to_rgb=True), + dict(type='Pad', size=(512, 512), pad_val=0, seg_pad_val=0), + dict(type='DefaultFormatBundle'), + dict(type='Collect', keys=['img', 'gt_semantic_seg']) + ]), + val=dict( + type='ADE20K151Dataset', + data_root='data/ade/ADEChallengeData2016', + img_dir='images/validation', + ann_dir='annotations/validation', + pipeline=[ + dict(type='LoadImageFromFile'), + dict( + type='MultiScaleFlipAug', + img_scale=(2048, 512), + flip=False, + transforms=[ + dict(type='Resize', keep_ratio=True), + dict(type='RandomFlip'), + dict( + type='Normalize', + mean=[123.675, 116.28, 103.53], + std=[58.395, 57.12, 57.375], + to_rgb=True), + dict( + type='Pad', size_divisor=16, pad_val=0, seg_pad_val=0), + dict(type='ImageToTensor', keys=['img']), + dict(type='Collect', keys=['img']) + ]) + ]), + test=dict( + type='ADE20K151Dataset', + data_root='data/ade/ADEChallengeData2016', + img_dir='images/validation', + ann_dir='annotations/validation', + pipeline=[ + dict(type='LoadImageFromFile'), + dict( + type='MultiScaleFlipAug', + img_scale=(2048, 512), + flip=False, + transforms=[ + dict(type='Resize', keep_ratio=True), + dict(type='RandomFlip'), + dict( + type='Normalize', + mean=[123.675, 116.28, 103.53], + std=[58.395, 57.12, 57.375], + to_rgb=True), + dict( + type='Pad', size_divisor=16, pad_val=0, seg_pad_val=0), + dict(type='ImageToTensor', keys=['img']), + dict(type='Collect', keys=['img']) + ]) + ])) +log_config = dict( + interval=50, hooks=[dict(type='TextLoggerHook', by_epoch=False)]) +dist_params = dict(backend='nccl') +log_level = 'INFO' +load_from = None +resume_from = None +workflow = [('train', 1)] +cudnn_benchmark = True +optimizer = dict( + type='AdamW', lr=0.00015, betas=[0.9, 0.96], weight_decay=0.045) +optimizer_config = dict() +lr_config = dict( + policy='step', + warmup='linear', + warmup_iters=1000, + warmup_ratio=1e-06, + step=10000, + gamma=0.5, + min_lr=1e-06, + by_epoch=False) +runner = dict(type='IterBasedRunner', max_iters=80000) +checkpoint_config = dict(by_epoch=False, interval=8000) +evaluation = dict( + interval=8000, metric='mIoU', pre_eval=True, save_best='mIoU') 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release 11.6, V11.6.124 +GCC: gcc (GCC) 4.8.5 20150623 (Red Hat 4.8.5-44) +PyTorch: 1.13.1 +PyTorch compiling details: PyTorch built with: + - GCC 9.3 + - C++ Version: 201402 + - Intel(R) oneAPI Math Kernel Library Version 2021.4-Product Build 20210904 for Intel(R) 64 architecture applications + - Intel(R) MKL-DNN v2.6.0 (Git Hash 52b5f107dd9cf10910aaa19cb47f3abf9b349815) + - OpenMP 201511 (a.k.a. OpenMP 4.5) + - LAPACK is enabled (usually provided by MKL) + - NNPACK is enabled + - CPU capability usage: AVX2 + - CUDA Runtime 11.6 + - NVCC architecture flags: -gencode;arch=compute_37,code=sm_37;-gencode;arch=compute_50,code=sm_50;-gencode;arch=compute_60,code=sm_60;-gencode;arch=compute_61,code=sm_61;-gencode;arch=compute_70,code=sm_70;-gencode;arch=compute_75,code=sm_75;-gencode;arch=compute_80,code=sm_80;-gencode;arch=compute_86,code=sm_86;-gencode;arch=compute_37,code=compute_37 + - CuDNN 8.3.2 (built against CUDA 11.5) + - Magma 2.6.1 + - Build settings: BLAS_INFO=mkl, BUILD_TYPE=Release, CUDA_VERSION=11.6, CUDNN_VERSION=8.3.2, CXX_COMPILER=/opt/rh/devtoolset-9/root/usr/bin/c++, CXX_FLAGS= -fabi-version=11 -Wno-deprecated -fvisibility-inlines-hidden -DUSE_PTHREADPOOL -fopenmp -DNDEBUG -DUSE_KINETO -DUSE_FBGEMM -DUSE_QNNPACK -DUSE_PYTORCH_QNNPACK -DUSE_XNNPACK -DSYMBOLICATE_MOBILE_DEBUG_HANDLE -DEDGE_PROFILER_USE_KINETO -O2 -fPIC -Wno-narrowing -Wall -Wextra -Werror=return-type -Werror=non-virtual-dtor -Wno-missing-field-initializers -Wno-type-limits -Wno-array-bounds -Wno-unknown-pragmas -Wunused-local-typedefs -Wno-unused-parameter -Wno-unused-function -Wno-unused-result -Wno-strict-overflow -Wno-strict-aliasing -Wno-error=deprecated-declarations -Wno-stringop-overflow -Wno-psabi -Wno-error=pedantic -Wno-error=redundant-decls -Wno-error=old-style-cast -fdiagnostics-color=always -faligned-new -Wno-unused-but-set-variable -Wno-maybe-uninitialized -fno-math-errno -fno-trapping-math -Werror=format -Werror=cast-function-type -Wno-stringop-overflow, LAPACK_INFO=mkl, PERF_WITH_AVX=1, PERF_WITH_AVX2=1, PERF_WITH_AVX512=1, TORCH_VERSION=1.13.1, USE_CUDA=ON, USE_CUDNN=ON, USE_EXCEPTION_PTR=1, USE_GFLAGS=OFF, USE_GLOG=OFF, USE_MKL=ON, USE_MKLDNN=ON, USE_MPI=OFF, USE_NCCL=ON, USE_NNPACK=ON, USE_OPENMP=ON, USE_ROCM=OFF, + +TorchVision: 0.14.1 +OpenCV: 4.7.0 +MMCV: 1.7.1 +MMCV Compiler: GCC 9.3 +MMCV CUDA Compiler: 11.6 +MMSegmentation: 0.30.0+d4f0cb3 +------------------------------------------------------------ + +2023-03-04 10:36:02,407 - mmseg - INFO - Distributed training: True +2023-03-04 10:36:03,072 - mmseg - INFO - Config: +norm_cfg = dict(type='SyncBN', requires_grad=True) +checkpoint = 'pretrained/segformer_mit-b2_512x512_160k_ade20k_20220620_114047-64e4feca.pth' +model = dict( + type='EncoderDecoderFreeze', + freeze_parameters=['backbone', 'decode_head'], + pretrained= + 'pretrained/segformer_mit-b2_512x512_160k_ade20k_20220620_114047-64e4feca.pth', + backbone=dict( + type='MixVisionTransformerCustomInitWeights', + in_channels=3, + embed_dims=64, + num_stages=4, + num_layers=[3, 4, 6, 3], + num_heads=[1, 2, 5, 8], + patch_sizes=[7, 3, 3, 3], + sr_ratios=[8, 4, 2, 1], + out_indices=(0, 1, 2, 3), + mlp_ratio=4, + qkv_bias=True, + drop_rate=0.0, + attn_drop_rate=0.0, + drop_path_rate=0.1), + decode_head=dict( + type='SegformerHeadUnetFCHeadSingleStepMask', + pretrained= + 'pretrained/segformer_mit-b2_512x512_160k_ade20k_20220620_114047-64e4feca.pth', + dim=128, + out_dim=256, + unet_channels=272, + dim_mults=[1, 1, 1], + cat_embedding_dim=16, + in_channels=[64, 128, 320, 512], + in_index=[0, 1, 2, 3], + channels=256, + dropout_ratio=0.1, + num_classes=151, + norm_cfg=dict(type='SyncBN', requires_grad=True), + align_corners=False, + ignore_index=0, + loss_decode=dict( + type='CrossEntropyLoss', use_sigmoid=False, loss_weight=1.0)), + train_cfg=dict(), + test_cfg=dict(mode='whole')) +dataset_type = 'ADE20K151Dataset' +data_root = 'data/ade/ADEChallengeData2016' +img_norm_cfg = dict( + mean=[123.675, 116.28, 103.53], std=[58.395, 57.12, 57.375], to_rgb=True) +crop_size = (512, 512) +train_pipeline = [ + dict(type='LoadImageFromFile'), + dict(type='LoadAnnotations', reduce_zero_label=False), + dict(type='Resize', img_scale=(2048, 512), ratio_range=(0.5, 2.0)), + dict(type='RandomCrop', crop_size=(512, 512), cat_max_ratio=0.75), + dict(type='RandomFlip', prob=0.5), + dict(type='PhotoMetricDistortion'), + dict( + type='Normalize', + mean=[123.675, 116.28, 103.53], + std=[58.395, 57.12, 57.375], + to_rgb=True), + dict(type='Pad', size=(512, 512), pad_val=0, seg_pad_val=0), + dict(type='DefaultFormatBundle'), + dict(type='Collect', keys=['img', 'gt_semantic_seg']) +] +test_pipeline = [ + dict(type='LoadImageFromFile'), + dict( + type='MultiScaleFlipAug', + img_scale=(2048, 512), + flip=False, + transforms=[ + dict(type='Resize', keep_ratio=True), + dict(type='RandomFlip'), + dict( + type='Normalize', + mean=[123.675, 116.28, 103.53], + std=[58.395, 57.12, 57.375], + to_rgb=True), + dict(type='Pad', size_divisor=16, pad_val=0, seg_pad_val=0), + dict(type='ImageToTensor', keys=['img']), + dict(type='Collect', keys=['img']) + ]) +] +data = dict( + samples_per_gpu=4, + workers_per_gpu=4, + train=dict( + type='ADE20K151Dataset', + data_root='data/ade/ADEChallengeData2016', + img_dir='images/training', + ann_dir='annotations/training', + pipeline=[ + dict(type='LoadImageFromFile'), + dict(type='LoadAnnotations', reduce_zero_label=False), + dict(type='Resize', img_scale=(2048, 512), ratio_range=(0.5, 2.0)), + dict(type='RandomCrop', crop_size=(512, 512), cat_max_ratio=0.75), + dict(type='RandomFlip', prob=0.5), + dict(type='PhotoMetricDistortion'), + dict( + type='Normalize', + mean=[123.675, 116.28, 103.53], + std=[58.395, 57.12, 57.375], + to_rgb=True), + dict(type='Pad', size=(512, 512), pad_val=0, seg_pad_val=0), + dict(type='DefaultFormatBundle'), + dict(type='Collect', keys=['img', 'gt_semantic_seg']) + ]), + val=dict( + type='ADE20K151Dataset', + data_root='data/ade/ADEChallengeData2016', + img_dir='images/validation', + ann_dir='annotations/validation', + pipeline=[ + dict(type='LoadImageFromFile'), + dict( + type='MultiScaleFlipAug', + img_scale=(2048, 512), + flip=False, + transforms=[ + dict(type='Resize', keep_ratio=True), + dict(type='RandomFlip'), + dict( + type='Normalize', + mean=[123.675, 116.28, 103.53], + std=[58.395, 57.12, 57.375], + to_rgb=True), + dict( + type='Pad', size_divisor=16, pad_val=0, seg_pad_val=0), + dict(type='ImageToTensor', keys=['img']), + dict(type='Collect', keys=['img']) + ]) + ]), + test=dict( + type='ADE20K151Dataset', + data_root='data/ade/ADEChallengeData2016', + img_dir='images/validation', + ann_dir='annotations/validation', + pipeline=[ + dict(type='LoadImageFromFile'), + dict( + type='MultiScaleFlipAug', + img_scale=(2048, 512), + flip=False, + transforms=[ + dict(type='Resize', keep_ratio=True), + dict(type='RandomFlip'), + dict( + type='Normalize', + mean=[123.675, 116.28, 103.53], + std=[58.395, 57.12, 57.375], + to_rgb=True), + dict( + type='Pad', size_divisor=16, pad_val=0, seg_pad_val=0), + dict(type='ImageToTensor', keys=['img']), + dict(type='Collect', keys=['img']) + ]) + ])) +log_config = dict( + interval=50, hooks=[dict(type='TextLoggerHook', by_epoch=False)]) +dist_params = dict(backend='nccl') +log_level = 'INFO' +load_from = None +resume_from = None +workflow = [('train', 1)] +cudnn_benchmark = True +optimizer = dict( + type='AdamW', lr=0.00015, betas=[0.9, 0.96], weight_decay=0.045) +optimizer_config = dict() +lr_config = dict( + policy='step', + warmup='linear', + warmup_iters=1000, + warmup_ratio=1e-06, + step=10000, + gamma=0.5, + min_lr=1e-06, + by_epoch=False) +runner = dict(type='IterBasedRunner', max_iters=80000) +checkpoint_config = dict(by_epoch=False, interval=8000) +evaluation = dict( + interval=8000, metric='mIoU', pre_eval=True, save_best='mIoU') +work_dir = './work_dirs2/ablation_segformer_mit_b2_segformer_head_unet_fc_single_step_ade_pretrained_freeze_embed_80k_ade20k151_mask' +gpu_ids = range(0, 8) +auto_resume = True + +2023-03-04 10:36:07,359 - mmseg - INFO - Set random seed to 1470787464, deterministic: False +2023-03-04 10:36:07,710 - mmseg - INFO - Parameters in backbone freezed! +2023-03-04 10:36:07,712 - mmseg - INFO - Trainable parameters in SegformerHeadUnetFCHeadSingleStep: 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pretrained/segformer_mit-b2_512x512_160k_ade20k_20220620_114047-64e4feca.pth +2023-03-04 10:36:08,180 - mmseg - WARNING - The model and loaded state dict do not match exactly + +unexpected key in source state_dict: backbone.layers.0.0.projection.weight, backbone.layers.0.0.projection.bias, backbone.layers.0.0.norm.weight, backbone.layers.0.0.norm.bias, backbone.layers.0.1.0.norm1.weight, backbone.layers.0.1.0.norm1.bias, backbone.layers.0.1.0.attn.attn.in_proj_weight, backbone.layers.0.1.0.attn.attn.in_proj_bias, backbone.layers.0.1.0.attn.attn.out_proj.weight, backbone.layers.0.1.0.attn.attn.out_proj.bias, backbone.layers.0.1.0.attn.sr.weight, backbone.layers.0.1.0.attn.sr.bias, backbone.layers.0.1.0.attn.norm.weight, backbone.layers.0.1.0.attn.norm.bias, backbone.layers.0.1.0.norm2.weight, backbone.layers.0.1.0.norm2.bias, backbone.layers.0.1.0.ffn.layers.0.weight, backbone.layers.0.1.0.ffn.layers.0.bias, backbone.layers.0.1.0.ffn.layers.1.weight, 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) + ) + (2): LayerNorm((128,), eps=1e-06, elementwise_affine=True) + ) + (2): ModuleList( + (0): PatchEmbed( + (projection): Conv2d(128, 320, kernel_size=(3, 3), stride=(2, 2), padding=(1, 1)) + (norm): LayerNorm((320,), eps=1e-06, elementwise_affine=True) + ) + (1): ModuleList( + (0): TransformerEncoderLayer( + (norm1): LayerNorm((320,), eps=1e-06, elementwise_affine=True) + (attn): EfficientMultiheadAttention( + (attn): MultiheadAttention( + (out_proj): NonDynamicallyQuantizableLinear(in_features=320, out_features=320, bias=True) + ) + (proj_drop): Dropout(p=0.0, inplace=False) + (dropout_layer): DropPath() + (sr): Conv2d(320, 320, kernel_size=(2, 2), stride=(2, 2)) + (norm): LayerNorm((320,), eps=1e-06, elementwise_affine=True) + ) + (norm2): LayerNorm((320,), eps=1e-06, elementwise_affine=True) + (ffn): MixFFN( + (activate): GELU(approximate='none') + (layers): Sequential( + (0): Conv2d(320, 1280, kernel_size=(1, 1), stride=(1, 1)) + (1): Conv2d(1280, 1280, kernel_size=(3, 3), stride=(1, 1), padding=(1, 1), groups=1280) + (2): GELU(approximate='none') + (3): Dropout(p=0.0, inplace=False) + (4): Conv2d(1280, 320, kernel_size=(1, 1), stride=(1, 1)) + (5): Dropout(p=0.0, inplace=False) + ) + (dropout_layer): DropPath() + ) + ) + (1): TransformerEncoderLayer( + (norm1): LayerNorm((320,), eps=1e-06, elementwise_affine=True) + (attn): EfficientMultiheadAttention( + (attn): MultiheadAttention( + (out_proj): NonDynamicallyQuantizableLinear(in_features=320, out_features=320, bias=True) + ) + (proj_drop): Dropout(p=0.0, inplace=False) + (dropout_layer): DropPath() + (sr): Conv2d(320, 320, kernel_size=(2, 2), stride=(2, 2)) + (norm): LayerNorm((320,), eps=1e-06, elementwise_affine=True) + ) + (norm2): LayerNorm((320,), eps=1e-06, elementwise_affine=True) + (ffn): MixFFN( + (activate): GELU(approximate='none') + (layers): Sequential( + (0): Conv2d(320, 1280, kernel_size=(1, 1), stride=(1, 1)) + (1): Conv2d(1280, 1280, kernel_size=(3, 3), stride=(1, 1), padding=(1, 1), groups=1280) + (2): GELU(approximate='none') + (3): Dropout(p=0.0, inplace=False) + (4): Conv2d(1280, 320, kernel_size=(1, 1), stride=(1, 1)) + (5): Dropout(p=0.0, inplace=False) + ) + (dropout_layer): DropPath() + ) + ) + (2): TransformerEncoderLayer( + (norm1): LayerNorm((320,), eps=1e-06, elementwise_affine=True) + (attn): EfficientMultiheadAttention( + (attn): MultiheadAttention( + (out_proj): NonDynamicallyQuantizableLinear(in_features=320, out_features=320, bias=True) + ) + (proj_drop): Dropout(p=0.0, inplace=False) + (dropout_layer): DropPath() + (sr): Conv2d(320, 320, kernel_size=(2, 2), stride=(2, 2)) + (norm): LayerNorm((320,), eps=1e-06, elementwise_affine=True) + ) + (norm2): LayerNorm((320,), eps=1e-06, elementwise_affine=True) + (ffn): MixFFN( + (activate): GELU(approximate='none') + (layers): Sequential( + (0): Conv2d(320, 1280, kernel_size=(1, 1), stride=(1, 1)) + (1): Conv2d(1280, 1280, kernel_size=(3, 3), stride=(1, 1), padding=(1, 1), groups=1280) + (2): GELU(approximate='none') + (3): Dropout(p=0.0, inplace=False) + (4): Conv2d(1280, 320, kernel_size=(1, 1), stride=(1, 1)) + (5): Dropout(p=0.0, inplace=False) + ) + (dropout_layer): DropPath() + ) + ) + (3): TransformerEncoderLayer( + (norm1): LayerNorm((320,), eps=1e-06, elementwise_affine=True) + (attn): EfficientMultiheadAttention( + (attn): MultiheadAttention( + (out_proj): NonDynamicallyQuantizableLinear(in_features=320, out_features=320, bias=True) + ) + (proj_drop): Dropout(p=0.0, inplace=False) + (dropout_layer): DropPath() + (sr): Conv2d(320, 320, kernel_size=(2, 2), stride=(2, 2)) + (norm): LayerNorm((320,), eps=1e-06, elementwise_affine=True) + ) + (norm2): LayerNorm((320,), eps=1e-06, elementwise_affine=True) + (ffn): MixFFN( + (activate): GELU(approximate='none') + (layers): Sequential( + (0): Conv2d(320, 1280, kernel_size=(1, 1), stride=(1, 1)) + (1): Conv2d(1280, 1280, kernel_size=(3, 3), stride=(1, 1), padding=(1, 1), groups=1280) + (2): GELU(approximate='none') + (3): Dropout(p=0.0, inplace=False) + (4): Conv2d(1280, 320, kernel_size=(1, 1), stride=(1, 1)) + (5): Dropout(p=0.0, inplace=False) + ) + (dropout_layer): DropPath() + ) + ) + (4): TransformerEncoderLayer( + (norm1): LayerNorm((320,), eps=1e-06, elementwise_affine=True) + (attn): EfficientMultiheadAttention( + (attn): MultiheadAttention( + (out_proj): NonDynamicallyQuantizableLinear(in_features=320, out_features=320, bias=True) + ) + (proj_drop): Dropout(p=0.0, inplace=False) + (dropout_layer): DropPath() + (sr): Conv2d(320, 320, kernel_size=(2, 2), stride=(2, 2)) + (norm): LayerNorm((320,), eps=1e-06, elementwise_affine=True) + ) + (norm2): LayerNorm((320,), eps=1e-06, elementwise_affine=True) + (ffn): MixFFN( + (activate): GELU(approximate='none') + (layers): Sequential( + (0): Conv2d(320, 1280, kernel_size=(1, 1), stride=(1, 1)) + (1): Conv2d(1280, 1280, kernel_size=(3, 3), stride=(1, 1), padding=(1, 1), groups=1280) + (2): GELU(approximate='none') + (3): Dropout(p=0.0, inplace=False) + (4): Conv2d(1280, 320, kernel_size=(1, 1), stride=(1, 1)) + (5): Dropout(p=0.0, inplace=False) + ) + (dropout_layer): DropPath() + ) + ) + (5): TransformerEncoderLayer( + (norm1): LayerNorm((320,), eps=1e-06, elementwise_affine=True) + (attn): EfficientMultiheadAttention( + (attn): MultiheadAttention( + (out_proj): NonDynamicallyQuantizableLinear(in_features=320, out_features=320, bias=True) + ) + (proj_drop): Dropout(p=0.0, inplace=False) + (dropout_layer): DropPath() + (sr): Conv2d(320, 320, kernel_size=(2, 2), stride=(2, 2)) + (norm): LayerNorm((320,), eps=1e-06, elementwise_affine=True) + ) + (norm2): LayerNorm((320,), eps=1e-06, elementwise_affine=True) + (ffn): MixFFN( + (activate): GELU(approximate='none') + (layers): Sequential( + (0): Conv2d(320, 1280, kernel_size=(1, 1), stride=(1, 1)) + (1): Conv2d(1280, 1280, kernel_size=(3, 3), stride=(1, 1), padding=(1, 1), groups=1280) + (2): GELU(approximate='none') + (3): Dropout(p=0.0, inplace=False) + (4): Conv2d(1280, 320, kernel_size=(1, 1), stride=(1, 1)) + (5): Dropout(p=0.0, inplace=False) + ) + (dropout_layer): DropPath() + ) + ) + ) + (2): LayerNorm((320,), eps=1e-06, elementwise_affine=True) + ) + (3): ModuleList( + (0): PatchEmbed( + (projection): Conv2d(320, 512, kernel_size=(3, 3), stride=(2, 2), padding=(1, 1)) + (norm): LayerNorm((512,), eps=1e-06, elementwise_affine=True) + ) + (1): ModuleList( + (0): TransformerEncoderLayer( + (norm1): LayerNorm((512,), eps=1e-06, elementwise_affine=True) + (attn): EfficientMultiheadAttention( + (attn): MultiheadAttention( + (out_proj): NonDynamicallyQuantizableLinear(in_features=512, out_features=512, bias=True) + ) + (proj_drop): Dropout(p=0.0, inplace=False) + (dropout_layer): DropPath() + ) + (norm2): LayerNorm((512,), eps=1e-06, elementwise_affine=True) + (ffn): MixFFN( + (activate): GELU(approximate='none') + (layers): Sequential( + (0): Conv2d(512, 2048, kernel_size=(1, 1), stride=(1, 1)) + (1): Conv2d(2048, 2048, kernel_size=(3, 3), stride=(1, 1), padding=(1, 1), groups=2048) + (2): GELU(approximate='none') + (3): Dropout(p=0.0, inplace=False) + (4): Conv2d(2048, 512, kernel_size=(1, 1), stride=(1, 1)) + (5): Dropout(p=0.0, inplace=False) + ) + (dropout_layer): DropPath() + ) + ) + (1): TransformerEncoderLayer( + (norm1): LayerNorm((512,), eps=1e-06, elementwise_affine=True) + (attn): EfficientMultiheadAttention( + (attn): MultiheadAttention( + (out_proj): NonDynamicallyQuantizableLinear(in_features=512, out_features=512, bias=True) + ) + (proj_drop): Dropout(p=0.0, inplace=False) + (dropout_layer): DropPath() + ) + (norm2): LayerNorm((512,), eps=1e-06, elementwise_affine=True) + (ffn): MixFFN( + (activate): GELU(approximate='none') + (layers): Sequential( + (0): Conv2d(512, 2048, kernel_size=(1, 1), stride=(1, 1)) + (1): Conv2d(2048, 2048, kernel_size=(3, 3), stride=(1, 1), padding=(1, 1), groups=2048) + (2): GELU(approximate='none') + (3): Dropout(p=0.0, inplace=False) + (4): Conv2d(2048, 512, kernel_size=(1, 1), stride=(1, 1)) + (5): Dropout(p=0.0, inplace=False) + ) + (dropout_layer): DropPath() + ) + ) + (2): TransformerEncoderLayer( + (norm1): LayerNorm((512,), eps=1e-06, elementwise_affine=True) + (attn): EfficientMultiheadAttention( + (attn): MultiheadAttention( + (out_proj): NonDynamicallyQuantizableLinear(in_features=512, out_features=512, bias=True) + ) + (proj_drop): Dropout(p=0.0, inplace=False) + (dropout_layer): DropPath() + ) + (norm2): LayerNorm((512,), eps=1e-06, elementwise_affine=True) + (ffn): MixFFN( + (activate): GELU(approximate='none') + (layers): Sequential( + (0): Conv2d(512, 2048, kernel_size=(1, 1), stride=(1, 1)) + (1): Conv2d(2048, 2048, kernel_size=(3, 3), stride=(1, 1), padding=(1, 1), groups=2048) + (2): GELU(approximate='none') + (3): Dropout(p=0.0, inplace=False) + (4): Conv2d(2048, 512, kernel_size=(1, 1), stride=(1, 1)) + (5): Dropout(p=0.0, inplace=False) + ) + (dropout_layer): DropPath() + ) + ) + ) + (2): LayerNorm((512,), eps=1e-06, elementwise_affine=True) + ) + ) + ) + init_cfg={'type': 'Pretrained', 'checkpoint': 'pretrained/segformer_mit-b2_512x512_160k_ade20k_20220620_114047-64e4feca.pth'} + (decode_head): SegformerHeadUnetFCHeadSingleStepMask( + input_transform=multiple_select, ignore_index=0, align_corners=False + (loss_decode): CrossEntropyLoss(avg_non_ignore=False) + (conv_seg): None + (dropout): Dropout2d(p=0.1, inplace=False) + (convs): ModuleList( + (0): ConvModule( + (conv): Conv2d(64, 256, kernel_size=(1, 1), stride=(1, 1), bias=False) + (bn): SyncBatchNorm(256, eps=1e-05, momentum=0.1, affine=True, track_running_stats=True) + (activate): ReLU(inplace=True) + ) + (1): ConvModule( + (conv): Conv2d(128, 256, kernel_size=(1, 1), stride=(1, 1), bias=False) + (bn): SyncBatchNorm(256, eps=1e-05, momentum=0.1, affine=True, track_running_stats=True) + (activate): ReLU(inplace=True) + ) + (2): ConvModule( + (conv): Conv2d(320, 256, kernel_size=(1, 1), stride=(1, 1), bias=False) + (bn): SyncBatchNorm(256, eps=1e-05, momentum=0.1, affine=True, track_running_stats=True) + (activate): ReLU(inplace=True) + ) + (3): ConvModule( + (conv): Conv2d(512, 256, kernel_size=(1, 1), stride=(1, 1), bias=False) + (bn): SyncBatchNorm(256, eps=1e-05, momentum=0.1, affine=True, track_running_stats=True) + (activate): ReLU(inplace=True) + ) + ) + (fusion_conv): ConvModule( + (conv): Conv2d(1024, 256, kernel_size=(1, 1), stride=(1, 1), bias=False) + (bn): SyncBatchNorm(256, eps=1e-05, momentum=0.1, affine=True, track_running_stats=True) + (activate): ReLU(inplace=True) + ) + (unet): Unet( + (init_conv): Conv2d(272, 128, kernel_size=(7, 7), stride=(1, 1), padding=(3, 3)) + (time_mlp): Sequential( + (0): SinusoidalPosEmb() + (1): Linear(in_features=128, out_features=512, bias=True) + (2): GELU(approximate='none') + (3): Linear(in_features=512, out_features=512, bias=True) + ) + (downs): ModuleList( + (0): ModuleList( + (0): ResnetBlock( + (mlp): Sequential( + (0): SiLU() + (1): Linear(in_features=512, out_features=256, bias=True) + ) + (block1): Block( + (proj): WeightStandardizedConv2d(128, 128, kernel_size=(3, 3), stride=(1, 1), padding=(1, 1)) + (norm): GroupNorm(8, 128, eps=1e-05, affine=True) + (act): SiLU() + ) + (block2): Block( + (proj): WeightStandardizedConv2d(128, 128, kernel_size=(3, 3), stride=(1, 1), padding=(1, 1)) + (norm): GroupNorm(8, 128, eps=1e-05, affine=True) + (act): SiLU() + ) + (res_conv): Identity() + ) + (1): ResnetBlock( + (mlp): Sequential( + (0): SiLU() + (1): Linear(in_features=512, out_features=256, bias=True) + ) + (block1): Block( + (proj): WeightStandardizedConv2d(128, 128, kernel_size=(3, 3), stride=(1, 1), padding=(1, 1)) + (norm): GroupNorm(8, 128, eps=1e-05, affine=True) + (act): SiLU() + ) + (block2): Block( + (proj): WeightStandardizedConv2d(128, 128, kernel_size=(3, 3), stride=(1, 1), padding=(1, 1)) + (norm): GroupNorm(8, 128, eps=1e-05, affine=True) + (act): SiLU() + ) + (res_conv): Identity() + ) + (2): Residual( + (fn): PreNorm( + (fn): LinearAttention( + (to_qkv): Conv2d(128, 384, kernel_size=(1, 1), stride=(1, 1), bias=False) + (to_out): Sequential( + (0): Conv2d(128, 128, kernel_size=(1, 1), stride=(1, 1)) + (1): LayerNorm() + ) + ) + (norm): LayerNorm() + ) + ) + (3): Conv2d(128, 128, kernel_size=(4, 4), stride=(2, 2), padding=(1, 1)) + ) + (1): ModuleList( + (0): ResnetBlock( + (mlp): Sequential( + (0): SiLU() + (1): Linear(in_features=512, out_features=256, bias=True) + ) + (block1): Block( + (proj): WeightStandardizedConv2d(128, 128, kernel_size=(3, 3), stride=(1, 1), padding=(1, 1)) + (norm): GroupNorm(8, 128, eps=1e-05, affine=True) + (act): SiLU() + ) + (block2): Block( + (proj): WeightStandardizedConv2d(128, 128, kernel_size=(3, 3), stride=(1, 1), padding=(1, 1)) + (norm): GroupNorm(8, 128, eps=1e-05, affine=True) + (act): SiLU() + ) + (res_conv): Identity() + ) + (1): ResnetBlock( + (mlp): Sequential( + (0): SiLU() + (1): Linear(in_features=512, out_features=256, bias=True) + ) + (block1): Block( + (proj): WeightStandardizedConv2d(128, 128, kernel_size=(3, 3), stride=(1, 1), padding=(1, 1)) + (norm): GroupNorm(8, 128, eps=1e-05, affine=True) + (act): SiLU() + ) + (block2): Block( + (proj): WeightStandardizedConv2d(128, 128, kernel_size=(3, 3), stride=(1, 1), padding=(1, 1)) + (norm): GroupNorm(8, 128, eps=1e-05, affine=True) + (act): SiLU() + ) + (res_conv): Identity() + ) + (2): Residual( + (fn): PreNorm( + (fn): LinearAttention( + (to_qkv): Conv2d(128, 384, kernel_size=(1, 1), stride=(1, 1), bias=False) + (to_out): Sequential( + (0): Conv2d(128, 128, kernel_size=(1, 1), stride=(1, 1)) + (1): LayerNorm() + ) + ) + (norm): LayerNorm() + ) + ) + (3): Conv2d(128, 128, kernel_size=(4, 4), stride=(2, 2), padding=(1, 1)) + ) + (2): ModuleList( + (0): ResnetBlock( + (mlp): Sequential( + (0): SiLU() + (1): Linear(in_features=512, out_features=256, bias=True) + ) + (block1): Block( + (proj): WeightStandardizedConv2d(128, 128, kernel_size=(3, 3), stride=(1, 1), padding=(1, 1)) + (norm): GroupNorm(8, 128, eps=1e-05, affine=True) + (act): SiLU() + ) + (block2): Block( + (proj): WeightStandardizedConv2d(128, 128, kernel_size=(3, 3), stride=(1, 1), padding=(1, 1)) + (norm): GroupNorm(8, 128, eps=1e-05, affine=True) + (act): SiLU() + ) + (res_conv): Identity() + ) + (1): ResnetBlock( + (mlp): Sequential( + (0): SiLU() + (1): Linear(in_features=512, out_features=256, bias=True) + ) + (block1): Block( + (proj): WeightStandardizedConv2d(128, 128, kernel_size=(3, 3), stride=(1, 1), padding=(1, 1)) + (norm): GroupNorm(8, 128, eps=1e-05, affine=True) + (act): SiLU() + ) + (block2): Block( + (proj): WeightStandardizedConv2d(128, 128, kernel_size=(3, 3), stride=(1, 1), padding=(1, 1)) + (norm): GroupNorm(8, 128, eps=1e-05, affine=True) + (act): SiLU() + ) + (res_conv): Identity() + ) + (2): Residual( + (fn): PreNorm( + (fn): LinearAttention( + (to_qkv): Conv2d(128, 384, kernel_size=(1, 1), stride=(1, 1), bias=False) + (to_out): Sequential( + (0): Conv2d(128, 128, kernel_size=(1, 1), stride=(1, 1)) + (1): LayerNorm() + ) + ) + (norm): LayerNorm() + ) + ) + (3): Conv2d(128, 128, kernel_size=(3, 3), stride=(1, 1), padding=(1, 1)) + ) + ) + (ups): ModuleList( + (0): ModuleList( + (0): ResnetBlock( + (mlp): Sequential( + (0): SiLU() + (1): Linear(in_features=512, out_features=256, bias=True) + ) + (block1): Block( + (proj): WeightStandardizedConv2d(256, 128, kernel_size=(3, 3), stride=(1, 1), padding=(1, 1)) + (norm): GroupNorm(8, 128, eps=1e-05, affine=True) + (act): SiLU() + ) + (block2): Block( + (proj): WeightStandardizedConv2d(128, 128, kernel_size=(3, 3), stride=(1, 1), padding=(1, 1)) + (norm): GroupNorm(8, 128, eps=1e-05, affine=True) + (act): SiLU() + ) + (res_conv): Conv2d(256, 128, kernel_size=(1, 1), stride=(1, 1)) + ) + (1): ResnetBlock( + (mlp): Sequential( + (0): SiLU() + (1): Linear(in_features=512, out_features=256, bias=True) + ) + (block1): Block( + (proj): WeightStandardizedConv2d(256, 128, kernel_size=(3, 3), stride=(1, 1), padding=(1, 1)) + (norm): GroupNorm(8, 128, eps=1e-05, affine=True) + (act): SiLU() + ) + (block2): Block( + (proj): WeightStandardizedConv2d(128, 128, kernel_size=(3, 3), stride=(1, 1), padding=(1, 1)) + (norm): GroupNorm(8, 128, eps=1e-05, affine=True) + (act): SiLU() + ) + (res_conv): Conv2d(256, 128, kernel_size=(1, 1), stride=(1, 1)) + ) + (2): Residual( + (fn): PreNorm( + (fn): LinearAttention( + (to_qkv): Conv2d(128, 384, kernel_size=(1, 1), stride=(1, 1), bias=False) + (to_out): Sequential( + (0): Conv2d(128, 128, kernel_size=(1, 1), stride=(1, 1)) + (1): LayerNorm() + ) + ) + (norm): LayerNorm() + ) + ) + (3): Sequential( + (0): Upsample(scale_factor=2.0, mode=nearest) + (1): Conv2d(128, 128, kernel_size=(3, 3), stride=(1, 1), padding=(1, 1)) + ) + ) + (1): ModuleList( + (0): ResnetBlock( + (mlp): Sequential( + (0): SiLU() + (1): Linear(in_features=512, out_features=256, bias=True) + ) + (block1): Block( + (proj): WeightStandardizedConv2d(256, 128, kernel_size=(3, 3), stride=(1, 1), padding=(1, 1)) + (norm): GroupNorm(8, 128, eps=1e-05, affine=True) + (act): SiLU() + ) + (block2): Block( + (proj): WeightStandardizedConv2d(128, 128, kernel_size=(3, 3), stride=(1, 1), padding=(1, 1)) + (norm): GroupNorm(8, 128, eps=1e-05, affine=True) + (act): SiLU() + ) + (res_conv): Conv2d(256, 128, kernel_size=(1, 1), stride=(1, 1)) + ) + (1): ResnetBlock( + (mlp): Sequential( + (0): SiLU() + (1): Linear(in_features=512, out_features=256, bias=True) + ) + (block1): Block( + (proj): WeightStandardizedConv2d(256, 128, kernel_size=(3, 3), stride=(1, 1), padding=(1, 1)) + (norm): GroupNorm(8, 128, eps=1e-05, affine=True) + (act): SiLU() + ) + (block2): Block( + (proj): WeightStandardizedConv2d(128, 128, kernel_size=(3, 3), stride=(1, 1), padding=(1, 1)) + (norm): GroupNorm(8, 128, eps=1e-05, affine=True) + (act): SiLU() + ) + (res_conv): Conv2d(256, 128, kernel_size=(1, 1), stride=(1, 1)) + ) + (2): Residual( + (fn): PreNorm( + (fn): LinearAttention( + (to_qkv): Conv2d(128, 384, kernel_size=(1, 1), stride=(1, 1), bias=False) + (to_out): Sequential( + (0): Conv2d(128, 128, kernel_size=(1, 1), stride=(1, 1)) + (1): LayerNorm() + ) + ) + (norm): LayerNorm() + ) + ) + (3): Sequential( + (0): Upsample(scale_factor=2.0, mode=nearest) + (1): Conv2d(128, 128, kernel_size=(3, 3), stride=(1, 1), padding=(1, 1)) + ) + ) + (2): ModuleList( + (0): ResnetBlock( + (mlp): Sequential( + (0): SiLU() + (1): Linear(in_features=512, out_features=256, bias=True) + ) + (block1): Block( + (proj): WeightStandardizedConv2d(256, 128, kernel_size=(3, 3), stride=(1, 1), padding=(1, 1)) + (norm): GroupNorm(8, 128, eps=1e-05, affine=True) + (act): SiLU() + ) + (block2): Block( + (proj): WeightStandardizedConv2d(128, 128, kernel_size=(3, 3), stride=(1, 1), padding=(1, 1)) + (norm): GroupNorm(8, 128, eps=1e-05, affine=True) + (act): SiLU() + ) + (res_conv): Conv2d(256, 128, kernel_size=(1, 1), stride=(1, 1)) + ) + (1): ResnetBlock( + (mlp): Sequential( + (0): SiLU() + (1): Linear(in_features=512, out_features=256, bias=True) + ) + (block1): Block( + (proj): WeightStandardizedConv2d(256, 128, kernel_size=(3, 3), stride=(1, 1), padding=(1, 1)) + (norm): GroupNorm(8, 128, eps=1e-05, affine=True) + (act): SiLU() + ) + (block2): Block( + (proj): WeightStandardizedConv2d(128, 128, kernel_size=(3, 3), stride=(1, 1), padding=(1, 1)) + (norm): GroupNorm(8, 128, eps=1e-05, affine=True) + (act): SiLU() + ) + (res_conv): Conv2d(256, 128, kernel_size=(1, 1), stride=(1, 1)) + ) + (2): Residual( + (fn): PreNorm( + (fn): LinearAttention( + (to_qkv): Conv2d(128, 384, kernel_size=(1, 1), stride=(1, 1), bias=False) + (to_out): Sequential( + (0): Conv2d(128, 128, kernel_size=(1, 1), stride=(1, 1)) + (1): LayerNorm() + ) + ) + (norm): LayerNorm() + ) + ) + (3): Conv2d(128, 128, kernel_size=(3, 3), stride=(1, 1), padding=(1, 1)) + ) + ) + (mid_block1): ResnetBlock( + (mlp): Sequential( + (0): SiLU() + (1): Linear(in_features=512, out_features=256, bias=True) + ) + (block1): Block( + (proj): WeightStandardizedConv2d(128, 128, kernel_size=(3, 3), stride=(1, 1), padding=(1, 1)) + (norm): GroupNorm(8, 128, eps=1e-05, affine=True) + (act): SiLU() + ) + (block2): Block( + (proj): WeightStandardizedConv2d(128, 128, kernel_size=(3, 3), stride=(1, 1), padding=(1, 1)) + (norm): GroupNorm(8, 128, eps=1e-05, affine=True) + (act): SiLU() + ) + (res_conv): Identity() + ) + (mid_attn): Residual( + (fn): PreNorm( + (fn): Attention( + (to_qkv): Conv2d(128, 384, kernel_size=(1, 1), stride=(1, 1), bias=False) + (to_out): Conv2d(128, 128, kernel_size=(1, 1), stride=(1, 1)) + ) + (norm): LayerNorm() + ) + ) + (mid_block2): ResnetBlock( + (mlp): Sequential( + (0): SiLU() + (1): Linear(in_features=512, out_features=256, bias=True) + ) + (block1): Block( + (proj): WeightStandardizedConv2d(128, 128, kernel_size=(3, 3), stride=(1, 1), padding=(1, 1)) + (norm): GroupNorm(8, 128, eps=1e-05, affine=True) + (act): SiLU() + ) + (block2): Block( + (proj): WeightStandardizedConv2d(128, 128, kernel_size=(3, 3), stride=(1, 1), padding=(1, 1)) + (norm): GroupNorm(8, 128, eps=1e-05, affine=True) + (act): SiLU() + ) + (res_conv): Identity() + ) + (final_res_block): ResnetBlock( + (mlp): Sequential( + (0): SiLU() + (1): Linear(in_features=512, out_features=256, bias=True) + ) + (block1): Block( + (proj): WeightStandardizedConv2d(256, 128, kernel_size=(3, 3), stride=(1, 1), padding=(1, 1)) + (norm): GroupNorm(8, 128, eps=1e-05, affine=True) + (act): SiLU() + ) + (block2): Block( + (proj): WeightStandardizedConv2d(128, 128, kernel_size=(3, 3), stride=(1, 1), padding=(1, 1)) + (norm): GroupNorm(8, 128, eps=1e-05, affine=True) + (act): SiLU() + ) + (res_conv): Conv2d(256, 128, kernel_size=(1, 1), stride=(1, 1)) + ) + (final_conv): Conv2d(128, 256, kernel_size=(1, 1), stride=(1, 1)) + ) + (conv_seg_new): Conv2d(256, 151, kernel_size=(1, 1), stride=(1, 1)) + (embed): Embedding(152, 16) + ) + init_cfg={'type': 'Pretrained', 'checkpoint': 'pretrained/segformer_mit-b2_512x512_160k_ade20k_20220620_114047-64e4feca.pth'} +) +2023-03-04 10:36:09,087 - mmseg - INFO - Loaded 20210 images +2023-03-04 10:36:10,053 - mmseg - INFO - Loaded 2000 images +2023-03-04 10:36:10,056 - mmseg - INFO - Start running, host: laizeqiang@SH-IDC1-10-140-37-113, work_dir: /mnt/petrelfs/laizeqiang/mmseg-baseline/work_dirs2/ablation_segformer_mit_b2_segformer_head_unet_fc_single_step_ade_pretrained_freeze_embed_80k_ade20k151_mask +2023-03-04 10:36:10,056 - mmseg - INFO - Hooks will be executed in the following order: +before_run: +(VERY_HIGH ) StepLrUpdaterHook +(NORMAL ) CheckpointHook +(LOW ) DistEvalHookMultiSteps +(VERY_LOW ) TextLoggerHook + -------------------- +before_train_epoch: +(VERY_HIGH ) StepLrUpdaterHook +(LOW ) IterTimerHook +(LOW ) DistEvalHookMultiSteps +(VERY_LOW ) TextLoggerHook + -------------------- +before_train_iter: +(VERY_HIGH ) StepLrUpdaterHook +(LOW ) IterTimerHook +(LOW ) DistEvalHookMultiSteps + -------------------- +after_train_iter: +(ABOVE_NORMAL) OptimizerHook +(NORMAL ) CheckpointHook +(LOW ) IterTimerHook +(LOW ) DistEvalHookMultiSteps +(VERY_LOW ) TextLoggerHook + -------------------- +after_train_epoch: +(NORMAL ) CheckpointHook +(LOW ) DistEvalHookMultiSteps +(VERY_LOW ) TextLoggerHook + -------------------- +before_val_epoch: +(LOW ) IterTimerHook +(VERY_LOW ) TextLoggerHook + -------------------- +before_val_iter: +(LOW ) IterTimerHook + -------------------- +after_val_iter: +(LOW ) IterTimerHook + -------------------- +after_val_epoch: +(VERY_LOW ) TextLoggerHook + -------------------- +after_run: +(VERY_LOW ) TextLoggerHook + -------------------- +2023-03-04 10:36:10,056 - mmseg - INFO - workflow: [('train', 1)], max: 80000 iters +2023-03-04 10:36:10,056 - mmseg - INFO - Checkpoints will be saved to /mnt/petrelfs/laizeqiang/mmseg-baseline/work_dirs2/ablation_segformer_mit_b2_segformer_head_unet_fc_single_step_ade_pretrained_freeze_embed_80k_ade20k151_mask by HardDiskBackend. +2023-03-04 10:36:47,431 - mmseg - INFO - Iter [50/80000] lr: 7.350e-06, eta: 6:21:07, time: 0.286, data_time: 0.014, memory: 19783, decode.loss_ce: 3.8243, decode.acc_seg: 14.2062, loss: 3.8243 +2023-03-04 10:36:55,947 - mmseg - INFO - Iter [100/80000] lr: 1.485e-05, eta: 5:03:50, time: 0.170, data_time: 0.007, memory: 19783, decode.loss_ce: 2.9748, decode.acc_seg: 42.5617, loss: 2.9748 +2023-03-04 10:37:04,369 - mmseg - INFO - Iter [150/80000] lr: 2.235e-05, eta: 4:37:05, time: 0.168, data_time: 0.008, memory: 19783, decode.loss_ce: 2.2347, decode.acc_seg: 49.3174, loss: 2.2347 +2023-03-04 10:37:12,840 - mmseg - INFO - Iter [200/80000] lr: 2.985e-05, eta: 4:24:00, time: 0.169, data_time: 0.007, memory: 19783, decode.loss_ce: 1.6971, decode.acc_seg: 60.8327, loss: 1.6971 +2023-03-04 10:37:21,248 - mmseg - INFO - Iter [250/80000] lr: 3.735e-05, eta: 4:15:49, time: 0.168, data_time: 0.007, memory: 19783, decode.loss_ce: 1.3266, decode.acc_seg: 69.1492, loss: 1.3266 +2023-03-04 10:37:29,768 - mmseg - INFO - Iter [300/80000] lr: 4.485e-05, eta: 4:10:46, time: 0.170, data_time: 0.007, memory: 19783, decode.loss_ce: 1.1094, decode.acc_seg: 74.3359, loss: 1.1094 +2023-03-04 10:37:38,291 - mmseg - INFO - Iter [350/80000] lr: 5.235e-05, eta: 4:07:08, time: 0.170, data_time: 0.007, memory: 19783, decode.loss_ce: 0.8799, decode.acc_seg: 78.0994, loss: 0.8799 +2023-03-04 10:37:46,865 - mmseg - INFO - Iter [400/80000] lr: 5.985e-05, eta: 4:04:32, time: 0.171, data_time: 0.007, memory: 19783, decode.loss_ce: 0.7519, decode.acc_seg: 80.2631, loss: 0.7519 +2023-03-04 10:37:55,418 - mmseg - INFO - Iter [450/80000] lr: 6.735e-05, eta: 4:02:26, time: 0.171, data_time: 0.007, memory: 19783, decode.loss_ce: 0.6707, decode.acc_seg: 81.7875, loss: 0.6707 +2023-03-04 10:38:03,650 - mmseg - INFO - Iter [500/80000] lr: 7.485e-05, eta: 3:59:52, time: 0.165, data_time: 0.007, memory: 19783, decode.loss_ce: 0.5952, decode.acc_seg: 82.6875, loss: 0.5952 +2023-03-04 10:38:12,334 - mmseg - INFO - Iter [550/80000] lr: 8.235e-05, eta: 3:58:49, time: 0.174, data_time: 0.008, memory: 19783, decode.loss_ce: 0.5100, decode.acc_seg: 84.7401, loss: 0.5100 +2023-03-04 10:38:20,396 - mmseg - INFO - Iter [600/80000] lr: 8.985e-05, eta: 3:56:34, time: 0.161, data_time: 0.008, memory: 19783, decode.loss_ce: 0.4445, decode.acc_seg: 85.9801, loss: 0.4445 +2023-03-04 10:38:31,315 - mmseg - INFO - Iter [650/80000] lr: 9.735e-05, eta: 4:00:27, time: 0.218, data_time: 0.054, memory: 19783, decode.loss_ce: 0.4351, decode.acc_seg: 86.1025, loss: 0.4351 +2023-03-04 10:38:39,745 - mmseg - INFO - Iter [700/80000] lr: 1.049e-04, eta: 3:59:03, time: 0.169, data_time: 0.007, memory: 19783, decode.loss_ce: 0.4012, decode.acc_seg: 86.6512, loss: 0.4012 diff --git a/ablation/ablation_segformer_mit_b2_segformer_head_unet_fc_single_step_ade_pretrained_freeze_embed_80k_ade20k151_mask/20230304_103602.log.json b/ablation/ablation_segformer_mit_b2_segformer_head_unet_fc_single_step_ade_pretrained_freeze_embed_80k_ade20k151_mask/20230304_103602.log.json new file mode 100644 index 0000000000000000000000000000000000000000..92d8c447e93f0b99df36e534c7a5fc4ac2687344 --- /dev/null +++ b/ablation/ablation_segformer_mit_b2_segformer_head_unet_fc_single_step_ade_pretrained_freeze_embed_80k_ade20k151_mask/20230304_103602.log.json @@ -0,0 +1,15 @@ +{"env_info": "sys.platform: linux\nPython: 3.7.16 (default, Jan 17 2023, 22:20:44) [GCC 11.2.0]\nCUDA available: True\nGPU 0,1,2,3,4,5,6,7: NVIDIA A100-SXM4-80GB\nCUDA_HOME: /mnt/petrelfs/laizeqiang/miniconda3/envs/torch\nNVCC: Cuda compilation tools, release 11.6, V11.6.124\nGCC: gcc (GCC) 4.8.5 20150623 (Red Hat 4.8.5-44)\nPyTorch: 1.13.1\nPyTorch compiling details: PyTorch built with:\n - GCC 9.3\n - C++ Version: 201402\n - Intel(R) oneAPI Math Kernel Library Version 2021.4-Product Build 20210904 for Intel(R) 64 architecture applications\n - Intel(R) MKL-DNN v2.6.0 (Git Hash 52b5f107dd9cf10910aaa19cb47f3abf9b349815)\n - OpenMP 201511 (a.k.a. OpenMP 4.5)\n - LAPACK is enabled (usually provided by MKL)\n - NNPACK is enabled\n - CPU capability usage: AVX2\n - CUDA Runtime 11.6\n - NVCC architecture flags: -gencode;arch=compute_37,code=sm_37;-gencode;arch=compute_50,code=sm_50;-gencode;arch=compute_60,code=sm_60;-gencode;arch=compute_61,code=sm_61;-gencode;arch=compute_70,code=sm_70;-gencode;arch=compute_75,code=sm_75;-gencode;arch=compute_80,code=sm_80;-gencode;arch=compute_86,code=sm_86;-gencode;arch=compute_37,code=compute_37\n - CuDNN 8.3.2 (built against CUDA 11.5)\n - Magma 2.6.1\n - Build settings: BLAS_INFO=mkl, BUILD_TYPE=Release, CUDA_VERSION=11.6, CUDNN_VERSION=8.3.2, CXX_COMPILER=/opt/rh/devtoolset-9/root/usr/bin/c++, CXX_FLAGS= -fabi-version=11 -Wno-deprecated -fvisibility-inlines-hidden -DUSE_PTHREADPOOL -fopenmp -DNDEBUG -DUSE_KINETO -DUSE_FBGEMM -DUSE_QNNPACK -DUSE_PYTORCH_QNNPACK -DUSE_XNNPACK -DSYMBOLICATE_MOBILE_DEBUG_HANDLE -DEDGE_PROFILER_USE_KINETO -O2 -fPIC -Wno-narrowing -Wall -Wextra -Werror=return-type -Werror=non-virtual-dtor -Wno-missing-field-initializers -Wno-type-limits -Wno-array-bounds -Wno-unknown-pragmas -Wunused-local-typedefs -Wno-unused-parameter -Wno-unused-function -Wno-unused-result -Wno-strict-overflow -Wno-strict-aliasing -Wno-error=deprecated-declarations -Wno-stringop-overflow -Wno-psabi -Wno-error=pedantic -Wno-error=redundant-decls -Wno-error=old-style-cast -fdiagnostics-color=always -faligned-new -Wno-unused-but-set-variable -Wno-maybe-uninitialized -fno-math-errno -fno-trapping-math -Werror=format -Werror=cast-function-type -Wno-stringop-overflow, LAPACK_INFO=mkl, PERF_WITH_AVX=1, PERF_WITH_AVX2=1, PERF_WITH_AVX512=1, TORCH_VERSION=1.13.1, USE_CUDA=ON, USE_CUDNN=ON, USE_EXCEPTION_PTR=1, USE_GFLAGS=OFF, USE_GLOG=OFF, USE_MKL=ON, USE_MKLDNN=ON, USE_MPI=OFF, USE_NCCL=ON, USE_NNPACK=ON, USE_OPENMP=ON, USE_ROCM=OFF, \n\nTorchVision: 0.14.1\nOpenCV: 4.7.0\nMMCV: 1.7.1\nMMCV Compiler: GCC 9.3\nMMCV CUDA Compiler: 11.6\nMMSegmentation: 0.30.0+d4f0cb3", "seed": 1470787464, "exp_name": "ablation_segformer_mit_b2_segformer_head_unet_fc_single_step_ade_pretrained_freeze_embed_80k_ade20k151_mask.py", "mmseg_version": "0.30.0+d4f0cb3", "config": "norm_cfg = dict(type='SyncBN', requires_grad=True)\ncheckpoint = 'pretrained/segformer_mit-b2_512x512_160k_ade20k_20220620_114047-64e4feca.pth'\nmodel = dict(\n type='EncoderDecoderFreeze',\n freeze_parameters=['backbone', 'decode_head'],\n pretrained=\n 'pretrained/segformer_mit-b2_512x512_160k_ade20k_20220620_114047-64e4feca.pth',\n backbone=dict(\n type='MixVisionTransformerCustomInitWeights',\n in_channels=3,\n embed_dims=64,\n num_stages=4,\n num_layers=[3, 4, 6, 3],\n num_heads=[1, 2, 5, 8],\n patch_sizes=[7, 3, 3, 3],\n sr_ratios=[8, 4, 2, 1],\n out_indices=(0, 1, 2, 3),\n mlp_ratio=4,\n qkv_bias=True,\n drop_rate=0.0,\n attn_drop_rate=0.0,\n drop_path_rate=0.1,\n pretrained=\n 'pretrained/segformer_mit-b2_512x512_160k_ade20k_20220620_114047-64e4feca.pth'\n ),\n decode_head=dict(\n type='SegformerHeadUnetFCHeadSingleStepMask',\n pretrained=\n 'pretrained/segformer_mit-b2_512x512_160k_ade20k_20220620_114047-64e4feca.pth',\n dim=128,\n out_dim=256,\n unet_channels=272,\n dim_mults=[1, 1, 1],\n cat_embedding_dim=16,\n in_channels=[64, 128, 320, 512],\n in_index=[0, 1, 2, 3],\n channels=256,\n dropout_ratio=0.1,\n num_classes=151,\n norm_cfg=dict(type='SyncBN', requires_grad=True),\n align_corners=False,\n ignore_index=0,\n loss_decode=dict(\n type='CrossEntropyLoss', use_sigmoid=False, loss_weight=1.0)),\n train_cfg=dict(),\n test_cfg=dict(mode='whole'))\ndataset_type = 'ADE20K151Dataset'\ndata_root = 'data/ade/ADEChallengeData2016'\nimg_norm_cfg = dict(\n mean=[123.675, 116.28, 103.53], std=[58.395, 57.12, 57.375], to_rgb=True)\ncrop_size = (512, 512)\ntrain_pipeline = [\n dict(type='LoadImageFromFile'),\n dict(type='LoadAnnotations', reduce_zero_label=False),\n dict(type='Resize', img_scale=(2048, 512), ratio_range=(0.5, 2.0)),\n dict(type='RandomCrop', crop_size=(512, 512), cat_max_ratio=0.75),\n dict(type='RandomFlip', prob=0.5),\n dict(type='PhotoMetricDistortion'),\n dict(\n type='Normalize',\n mean=[123.675, 116.28, 103.53],\n std=[58.395, 57.12, 57.375],\n to_rgb=True),\n dict(type='Pad', size=(512, 512), pad_val=0, seg_pad_val=0),\n dict(type='DefaultFormatBundle'),\n dict(type='Collect', keys=['img', 'gt_semantic_seg'])\n]\ntest_pipeline = [\n dict(type='LoadImageFromFile'),\n dict(\n type='MultiScaleFlipAug',\n img_scale=(2048, 512),\n flip=False,\n transforms=[\n dict(type='Resize', keep_ratio=True),\n dict(type='RandomFlip'),\n dict(\n type='Normalize',\n mean=[123.675, 116.28, 103.53],\n std=[58.395, 57.12, 57.375],\n to_rgb=True),\n dict(type='Pad', size_divisor=16, pad_val=0, seg_pad_val=0),\n dict(type='ImageToTensor', keys=['img']),\n dict(type='Collect', keys=['img'])\n ])\n]\ndata = dict(\n samples_per_gpu=4,\n workers_per_gpu=4,\n train=dict(\n type='ADE20K151Dataset',\n data_root='data/ade/ADEChallengeData2016',\n img_dir='images/training',\n ann_dir='annotations/training',\n pipeline=[\n dict(type='LoadImageFromFile'),\n dict(type='LoadAnnotations', reduce_zero_label=False),\n dict(type='Resize', img_scale=(2048, 512), ratio_range=(0.5, 2.0)),\n dict(type='RandomCrop', crop_size=(512, 512), cat_max_ratio=0.75),\n dict(type='RandomFlip', prob=0.5),\n dict(type='PhotoMetricDistortion'),\n dict(\n type='Normalize',\n mean=[123.675, 116.28, 103.53],\n std=[58.395, 57.12, 57.375],\n to_rgb=True),\n dict(type='Pad', size=(512, 512), pad_val=0, seg_pad_val=0),\n dict(type='DefaultFormatBundle'),\n dict(type='Collect', keys=['img', 'gt_semantic_seg'])\n ]),\n val=dict(\n type='ADE20K151Dataset',\n data_root='data/ade/ADEChallengeData2016',\n img_dir='images/validation',\n ann_dir='annotations/validation',\n pipeline=[\n dict(type='LoadImageFromFile'),\n dict(\n type='MultiScaleFlipAug',\n img_scale=(2048, 512),\n flip=False,\n transforms=[\n dict(type='Resize', keep_ratio=True),\n dict(type='RandomFlip'),\n dict(\n type='Normalize',\n mean=[123.675, 116.28, 103.53],\n std=[58.395, 57.12, 57.375],\n to_rgb=True),\n dict(\n type='Pad', size_divisor=16, pad_val=0, seg_pad_val=0),\n dict(type='ImageToTensor', keys=['img']),\n dict(type='Collect', keys=['img'])\n ])\n ]),\n test=dict(\n type='ADE20K151Dataset',\n data_root='data/ade/ADEChallengeData2016',\n img_dir='images/validation',\n ann_dir='annotations/validation',\n pipeline=[\n dict(type='LoadImageFromFile'),\n dict(\n type='MultiScaleFlipAug',\n img_scale=(2048, 512),\n flip=False,\n transforms=[\n dict(type='Resize', keep_ratio=True),\n dict(type='RandomFlip'),\n dict(\n type='Normalize',\n mean=[123.675, 116.28, 103.53],\n std=[58.395, 57.12, 57.375],\n to_rgb=True),\n dict(\n type='Pad', size_divisor=16, pad_val=0, seg_pad_val=0),\n dict(type='ImageToTensor', keys=['img']),\n dict(type='Collect', keys=['img'])\n ])\n ]))\nlog_config = dict(\n interval=50, hooks=[dict(type='TextLoggerHook', by_epoch=False)])\ndist_params = dict(backend='nccl')\nlog_level = 'INFO'\nload_from = None\nresume_from = None\nworkflow = [('train', 1)]\ncudnn_benchmark = True\noptimizer = dict(\n type='AdamW', lr=0.00015, betas=[0.9, 0.96], weight_decay=0.045)\noptimizer_config = dict()\nlr_config = dict(\n policy='step',\n warmup='linear',\n warmup_iters=1000,\n warmup_ratio=1e-06,\n step=10000,\n gamma=0.5,\n min_lr=1e-06,\n by_epoch=False)\nrunner = dict(type='IterBasedRunner', max_iters=80000)\ncheckpoint_config = dict(by_epoch=False, interval=8000)\nevaluation = dict(\n interval=8000, metric='mIoU', pre_eval=True, save_best='mIoU')\nwork_dir = './work_dirs2/ablation_segformer_mit_b2_segformer_head_unet_fc_single_step_ade_pretrained_freeze_embed_80k_ade20k151_mask'\ngpu_ids = range(0, 8)\nauto_resume = True\ndevice = 'cuda'\nseed = 1470787464\n", "CLASSES": ["background", "wall", "building", "sky", "floor", "tree", "ceiling", "road", "bed ", "windowpane", 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"iter": 650, "lr": 0.0001, "memory": 19783, "data_time": 0.05353, "decode.loss_ce": 0.43514, "decode.acc_seg": 86.10254, "loss": 0.43514, "time": 0.21836} +{"mode": "train", "epoch": 2, "iter": 700, "lr": 0.0001, "memory": 19783, "data_time": 0.00717, "decode.loss_ce": 0.40124, "decode.acc_seg": 86.65119, "loss": 0.40124, "time": 0.16862} diff --git a/ablation/ablation_segformer_mit_b2_segformer_head_unet_fc_single_step_ade_pretrained_freeze_embed_80k_ade20k151_mask/20230304_103934.log b/ablation/ablation_segformer_mit_b2_segformer_head_unet_fc_single_step_ade_pretrained_freeze_embed_80k_ade20k151_mask/20230304_103934.log new file mode 100644 index 0000000000000000000000000000000000000000..cddcd81dc0c4a2c4bf3e1022599f90b98eb5fdc4 --- /dev/null +++ b/ablation/ablation_segformer_mit_b2_segformer_head_unet_fc_single_step_ade_pretrained_freeze_embed_80k_ade20k151_mask/20230304_103934.log @@ -0,0 +1,1306 @@ +2023-03-04 10:39:34,378 - mmseg - INFO - Multi-processing start method is `None` +2023-03-04 10:39:34,392 - mmseg - INFO - OpenCV num_threads is `128 +2023-03-04 10:39:34,392 - mmseg - INFO - OMP num threads is 1 +2023-03-04 10:39:34,453 - mmseg - INFO - Environment info: +------------------------------------------------------------ +sys.platform: linux +Python: 3.7.16 (default, Jan 17 2023, 22:20:44) [GCC 11.2.0] +CUDA available: True +GPU 0,1,2,3,4,5,6,7: NVIDIA A100-SXM4-80GB +CUDA_HOME: /mnt/petrelfs/laizeqiang/miniconda3/envs/torch +NVCC: Cuda compilation tools, release 11.6, V11.6.124 +GCC: gcc (GCC) 4.8.5 20150623 (Red Hat 4.8.5-44) +PyTorch: 1.13.1 +PyTorch compiling details: PyTorch built with: + - GCC 9.3 + - C++ Version: 201402 + - Intel(R) oneAPI Math Kernel Library Version 2021.4-Product Build 20210904 for Intel(R) 64 architecture applications + - Intel(R) MKL-DNN v2.6.0 (Git Hash 52b5f107dd9cf10910aaa19cb47f3abf9b349815) + - OpenMP 201511 (a.k.a. OpenMP 4.5) + - LAPACK is enabled (usually provided by MKL) + - NNPACK is enabled + - CPU capability usage: AVX2 + - CUDA Runtime 11.6 + - NVCC architecture flags: -gencode;arch=compute_37,code=sm_37;-gencode;arch=compute_50,code=sm_50;-gencode;arch=compute_60,code=sm_60;-gencode;arch=compute_61,code=sm_61;-gencode;arch=compute_70,code=sm_70;-gencode;arch=compute_75,code=sm_75;-gencode;arch=compute_80,code=sm_80;-gencode;arch=compute_86,code=sm_86;-gencode;arch=compute_37,code=compute_37 + - CuDNN 8.3.2 (built against CUDA 11.5) + - Magma 2.6.1 + - Build settings: BLAS_INFO=mkl, BUILD_TYPE=Release, CUDA_VERSION=11.6, CUDNN_VERSION=8.3.2, CXX_COMPILER=/opt/rh/devtoolset-9/root/usr/bin/c++, CXX_FLAGS= -fabi-version=11 -Wno-deprecated -fvisibility-inlines-hidden -DUSE_PTHREADPOOL -fopenmp -DNDEBUG -DUSE_KINETO -DUSE_FBGEMM -DUSE_QNNPACK -DUSE_PYTORCH_QNNPACK -DUSE_XNNPACK -DSYMBOLICATE_MOBILE_DEBUG_HANDLE -DEDGE_PROFILER_USE_KINETO -O2 -fPIC -Wno-narrowing -Wall -Wextra -Werror=return-type -Werror=non-virtual-dtor -Wno-missing-field-initializers -Wno-type-limits -Wno-array-bounds -Wno-unknown-pragmas -Wunused-local-typedefs -Wno-unused-parameter -Wno-unused-function -Wno-unused-result -Wno-strict-overflow -Wno-strict-aliasing -Wno-error=deprecated-declarations -Wno-stringop-overflow -Wno-psabi -Wno-error=pedantic -Wno-error=redundant-decls -Wno-error=old-style-cast -fdiagnostics-color=always -faligned-new -Wno-unused-but-set-variable -Wno-maybe-uninitialized -fno-math-errno -fno-trapping-math -Werror=format -Werror=cast-function-type -Wno-stringop-overflow, LAPACK_INFO=mkl, PERF_WITH_AVX=1, PERF_WITH_AVX2=1, PERF_WITH_AVX512=1, TORCH_VERSION=1.13.1, USE_CUDA=ON, USE_CUDNN=ON, USE_EXCEPTION_PTR=1, USE_GFLAGS=OFF, USE_GLOG=OFF, USE_MKL=ON, USE_MKLDNN=ON, USE_MPI=OFF, USE_NCCL=ON, USE_NNPACK=ON, USE_OPENMP=ON, USE_ROCM=OFF, + +TorchVision: 0.14.1 +OpenCV: 4.7.0 +MMCV: 1.7.1 +MMCV Compiler: GCC 9.3 +MMCV CUDA Compiler: 11.6 +MMSegmentation: 0.30.0+d4f0cb3 +------------------------------------------------------------ + +2023-03-04 10:39:34,453 - mmseg - INFO - Distributed training: True +2023-03-04 10:39:35,115 - mmseg - INFO - Config: +norm_cfg = dict(type='SyncBN', requires_grad=True) +checkpoint = 'pretrained/segformer_mit-b2_512x512_160k_ade20k_20220620_114047-64e4feca.pth' +model = dict( + type='EncoderDecoderFreeze', + freeze_parameters=['backbone', 'decode_head'], + pretrained= + 'pretrained/segformer_mit-b2_512x512_160k_ade20k_20220620_114047-64e4feca.pth', + backbone=dict( + type='MixVisionTransformerCustomInitWeights', + in_channels=3, + embed_dims=64, + num_stages=4, + num_layers=[3, 4, 6, 3], + num_heads=[1, 2, 5, 8], + patch_sizes=[7, 3, 3, 3], + sr_ratios=[8, 4, 2, 1], + out_indices=(0, 1, 2, 3), + mlp_ratio=4, + qkv_bias=True, + drop_rate=0.0, + attn_drop_rate=0.0, + drop_path_rate=0.1), + decode_head=dict( + type='SegformerHeadUnetFCHeadSingleStepMask', + pretrained= + 'pretrained/segformer_mit-b2_512x512_160k_ade20k_20220620_114047-64e4feca.pth', + dim=128, + out_dim=256, + unet_channels=272, + dim_mults=[1, 1, 1], + cat_embedding_dim=16, + in_channels=[64, 128, 320, 512], + in_index=[0, 1, 2, 3], + channels=256, + dropout_ratio=0.1, + num_classes=151, + norm_cfg=dict(type='SyncBN', requires_grad=True), + align_corners=False, + ignore_index=0, + loss_decode=dict( + type='CrossEntropyLoss', use_sigmoid=False, loss_weight=1.0)), + train_cfg=dict(), + test_cfg=dict(mode='whole')) +dataset_type = 'ADE20K151Dataset' +data_root = 'data/ade/ADEChallengeData2016' +img_norm_cfg = dict( + mean=[123.675, 116.28, 103.53], std=[58.395, 57.12, 57.375], to_rgb=True) +crop_size = (512, 512) +train_pipeline = [ + dict(type='LoadImageFromFile'), + dict(type='LoadAnnotations', reduce_zero_label=False), + dict(type='Resize', img_scale=(2048, 512), ratio_range=(0.5, 2.0)), + dict(type='RandomCrop', crop_size=(512, 512), cat_max_ratio=0.75), + dict(type='RandomFlip', prob=0.5), + dict(type='PhotoMetricDistortion'), + dict( + type='Normalize', + mean=[123.675, 116.28, 103.53], + std=[58.395, 57.12, 57.375], + to_rgb=True), + dict(type='Pad', size=(512, 512), pad_val=0, seg_pad_val=0), + dict(type='DefaultFormatBundle'), + dict(type='Collect', keys=['img', 'gt_semantic_seg']) +] +test_pipeline = [ + dict(type='LoadImageFromFile'), + dict( + type='MultiScaleFlipAug', + img_scale=(2048, 512), + flip=False, + transforms=[ + dict(type='Resize', keep_ratio=True), + dict(type='RandomFlip'), + dict( + type='Normalize', + mean=[123.675, 116.28, 103.53], + std=[58.395, 57.12, 57.375], + to_rgb=True), + dict(type='Pad', size_divisor=16, pad_val=0, seg_pad_val=0), + dict(type='ImageToTensor', keys=['img']), + dict(type='Collect', keys=['img']) + ]) +] +data = dict( + samples_per_gpu=4, + workers_per_gpu=4, + train=dict( + type='ADE20K151Dataset', + data_root='data/ade/ADEChallengeData2016', + img_dir='images/training', + ann_dir='annotations/training', + pipeline=[ + dict(type='LoadImageFromFile'), + dict(type='LoadAnnotations', reduce_zero_label=False), + dict(type='Resize', img_scale=(2048, 512), ratio_range=(0.5, 2.0)), + dict(type='RandomCrop', crop_size=(512, 512), cat_max_ratio=0.75), + dict(type='RandomFlip', prob=0.5), + dict(type='PhotoMetricDistortion'), + dict( + type='Normalize', + mean=[123.675, 116.28, 103.53], + std=[58.395, 57.12, 57.375], + to_rgb=True), + dict(type='Pad', size=(512, 512), pad_val=0, seg_pad_val=0), + dict(type='DefaultFormatBundle'), + dict(type='Collect', keys=['img', 'gt_semantic_seg']) + ]), + val=dict( + type='ADE20K151Dataset', + data_root='data/ade/ADEChallengeData2016', + img_dir='images/validation', + ann_dir='annotations/validation', + pipeline=[ + dict(type='LoadImageFromFile'), + dict( + type='MultiScaleFlipAug', + img_scale=(2048, 512), + flip=False, + transforms=[ + dict(type='Resize', keep_ratio=True), + dict(type='RandomFlip'), + dict( + type='Normalize', + mean=[123.675, 116.28, 103.53], + std=[58.395, 57.12, 57.375], + to_rgb=True), + dict( + type='Pad', size_divisor=16, pad_val=0, seg_pad_val=0), + dict(type='ImageToTensor', keys=['img']), + dict(type='Collect', keys=['img']) + ]) + ]), + test=dict( + type='ADE20K151Dataset', + data_root='data/ade/ADEChallengeData2016', + img_dir='images/validation', + ann_dir='annotations/validation', + pipeline=[ + dict(type='LoadImageFromFile'), + dict( + type='MultiScaleFlipAug', + img_scale=(2048, 512), + flip=False, + transforms=[ + dict(type='Resize', keep_ratio=True), + dict(type='RandomFlip'), + dict( + type='Normalize', + mean=[123.675, 116.28, 103.53], + std=[58.395, 57.12, 57.375], + to_rgb=True), + dict( + type='Pad', size_divisor=16, pad_val=0, seg_pad_val=0), + dict(type='ImageToTensor', keys=['img']), + dict(type='Collect', keys=['img']) + ]) + ])) +log_config = dict( + interval=50, hooks=[dict(type='TextLoggerHook', by_epoch=False)]) +dist_params = dict(backend='nccl') +log_level = 'INFO' +load_from = None +resume_from = None +workflow = [('train', 1)] +cudnn_benchmark = True +optimizer = dict( + type='AdamW', lr=0.00015, betas=[0.9, 0.96], weight_decay=0.045) +optimizer_config = dict() +lr_config = dict( + policy='step', + warmup='linear', + warmup_iters=1000, + warmup_ratio=1e-06, + step=10000, + gamma=0.5, + min_lr=1e-06, + by_epoch=False) +runner = dict(type='IterBasedRunner', max_iters=80000) +checkpoint_config = dict(by_epoch=False, interval=8000) +evaluation = dict( + interval=8000, metric='mIoU', pre_eval=True, save_best='mIoU') +work_dir = './work_dirs2/ablation_segformer_mit_b2_segformer_head_unet_fc_single_step_ade_pretrained_freeze_embed_80k_ade20k151_mask' +gpu_ids = range(0, 8) +auto_resume = True + +2023-03-04 10:39:39,413 - mmseg - INFO - Set random seed to 1648012630, deterministic: False +2023-03-04 10:39:39,670 - mmseg - INFO - Parameters in backbone freezed! +2023-03-04 10:39:39,671 - mmseg - INFO - Trainable parameters in SegformerHeadUnetFCHeadSingleStep: ['unet.init_conv.weight', 'unet.init_conv.bias', 'unet.time_mlp.1.weight', 'unet.time_mlp.1.bias', 'unet.time_mlp.3.weight', 'unet.time_mlp.3.bias', 'unet.downs.0.0.mlp.1.weight', 'unet.downs.0.0.mlp.1.bias', 'unet.downs.0.0.block1.proj.weight', 'unet.downs.0.0.block1.proj.bias', 'unet.downs.0.0.block1.norm.weight', 'unet.downs.0.0.block1.norm.bias', 'unet.downs.0.0.block2.proj.weight', 'unet.downs.0.0.block2.proj.bias', 'unet.downs.0.0.block2.norm.weight', 'unet.downs.0.0.block2.norm.bias', 'unet.downs.0.1.mlp.1.weight', 'unet.downs.0.1.mlp.1.bias', 'unet.downs.0.1.block1.proj.weight', 'unet.downs.0.1.block1.proj.bias', 'unet.downs.0.1.block1.norm.weight', 'unet.downs.0.1.block1.norm.bias', 'unet.downs.0.1.block2.proj.weight', 'unet.downs.0.1.block2.proj.bias', 'unet.downs.0.1.block2.norm.weight', 'unet.downs.0.1.block2.norm.bias', 'unet.downs.0.2.fn.fn.to_qkv.weight', 'unet.downs.0.2.fn.fn.to_out.0.weight', 'unet.downs.0.2.fn.fn.to_out.0.bias', 'unet.downs.0.2.fn.fn.to_out.1.g', 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elementwise_affine=True) + (attn): EfficientMultiheadAttention( + (attn): MultiheadAttention( + (out_proj): NonDynamicallyQuantizableLinear(in_features=64, out_features=64, bias=True) + ) + (proj_drop): Dropout(p=0.0, inplace=False) + (dropout_layer): DropPath() + (sr): Conv2d(64, 64, kernel_size=(8, 8), stride=(8, 8)) + (norm): LayerNorm((64,), eps=1e-06, elementwise_affine=True) + ) + (norm2): LayerNorm((64,), eps=1e-06, elementwise_affine=True) + (ffn): MixFFN( + (activate): GELU(approximate='none') + (layers): Sequential( + (0): Conv2d(64, 256, kernel_size=(1, 1), stride=(1, 1)) + (1): Conv2d(256, 256, kernel_size=(3, 3), stride=(1, 1), padding=(1, 1), groups=256) + (2): GELU(approximate='none') + (3): Dropout(p=0.0, inplace=False) + (4): Conv2d(256, 64, kernel_size=(1, 1), stride=(1, 1)) + (5): Dropout(p=0.0, inplace=False) + ) + (dropout_layer): DropPath() + ) + ) + (2): TransformerEncoderLayer( + (norm1): LayerNorm((64,), eps=1e-06, elementwise_affine=True) + (attn): EfficientMultiheadAttention( + (attn): MultiheadAttention( + (out_proj): NonDynamicallyQuantizableLinear(in_features=64, out_features=64, bias=True) + ) + (proj_drop): Dropout(p=0.0, inplace=False) + (dropout_layer): DropPath() + (sr): Conv2d(64, 64, kernel_size=(8, 8), stride=(8, 8)) + (norm): LayerNorm((64,), eps=1e-06, elementwise_affine=True) + ) + (norm2): LayerNorm((64,), eps=1e-06, elementwise_affine=True) + (ffn): MixFFN( + (activate): GELU(approximate='none') + (layers): Sequential( + (0): Conv2d(64, 256, kernel_size=(1, 1), stride=(1, 1)) + (1): Conv2d(256, 256, kernel_size=(3, 3), stride=(1, 1), padding=(1, 1), groups=256) + (2): GELU(approximate='none') + (3): Dropout(p=0.0, inplace=False) + (4): Conv2d(256, 64, kernel_size=(1, 1), stride=(1, 1)) + (5): Dropout(p=0.0, inplace=False) + ) + (dropout_layer): DropPath() + ) + ) + ) + (2): LayerNorm((64,), eps=1e-06, elementwise_affine=True) + ) + (1): ModuleList( + (0): PatchEmbed( + (projection): Conv2d(64, 128, kernel_size=(3, 3), stride=(2, 2), padding=(1, 1)) + (norm): LayerNorm((128,), eps=1e-06, elementwise_affine=True) + ) + (1): ModuleList( + (0): TransformerEncoderLayer( + (norm1): LayerNorm((128,), eps=1e-06, elementwise_affine=True) + (attn): EfficientMultiheadAttention( + (attn): MultiheadAttention( + (out_proj): NonDynamicallyQuantizableLinear(in_features=128, out_features=128, bias=True) + ) + (proj_drop): Dropout(p=0.0, inplace=False) + (dropout_layer): DropPath() + (sr): Conv2d(128, 128, kernel_size=(4, 4), stride=(4, 4)) + (norm): LayerNorm((128,), eps=1e-06, elementwise_affine=True) + ) + (norm2): LayerNorm((128,), eps=1e-06, elementwise_affine=True) + (ffn): MixFFN( + (activate): GELU(approximate='none') + (layers): Sequential( + (0): Conv2d(128, 512, kernel_size=(1, 1), stride=(1, 1)) + (1): Conv2d(512, 512, kernel_size=(3, 3), stride=(1, 1), padding=(1, 1), groups=512) + (2): GELU(approximate='none') + (3): Dropout(p=0.0, inplace=False) + (4): Conv2d(512, 128, kernel_size=(1, 1), stride=(1, 1)) + (5): Dropout(p=0.0, inplace=False) + ) + (dropout_layer): DropPath() + ) + ) + (1): TransformerEncoderLayer( + (norm1): LayerNorm((128,), eps=1e-06, elementwise_affine=True) + (attn): EfficientMultiheadAttention( + (attn): MultiheadAttention( + (out_proj): NonDynamicallyQuantizableLinear(in_features=128, out_features=128, bias=True) + ) + (proj_drop): Dropout(p=0.0, inplace=False) + (dropout_layer): DropPath() + (sr): Conv2d(128, 128, kernel_size=(4, 4), stride=(4, 4)) + (norm): LayerNorm((128,), eps=1e-06, elementwise_affine=True) + ) + (norm2): LayerNorm((128,), eps=1e-06, elementwise_affine=True) + (ffn): MixFFN( + (activate): GELU(approximate='none') + (layers): Sequential( + (0): Conv2d(128, 512, kernel_size=(1, 1), stride=(1, 1)) + (1): Conv2d(512, 512, kernel_size=(3, 3), stride=(1, 1), padding=(1, 1), groups=512) + (2): GELU(approximate='none') + (3): Dropout(p=0.0, inplace=False) + (4): Conv2d(512, 128, kernel_size=(1, 1), stride=(1, 1)) + (5): Dropout(p=0.0, inplace=False) + ) + (dropout_layer): DropPath() + ) + ) + (2): TransformerEncoderLayer( + (norm1): LayerNorm((128,), eps=1e-06, elementwise_affine=True) + (attn): EfficientMultiheadAttention( + (attn): MultiheadAttention( + (out_proj): NonDynamicallyQuantizableLinear(in_features=128, out_features=128, bias=True) + ) + (proj_drop): Dropout(p=0.0, inplace=False) + (dropout_layer): DropPath() + (sr): Conv2d(128, 128, kernel_size=(4, 4), stride=(4, 4)) + (norm): LayerNorm((128,), eps=1e-06, elementwise_affine=True) + ) + (norm2): LayerNorm((128,), eps=1e-06, elementwise_affine=True) + (ffn): MixFFN( + (activate): GELU(approximate='none') + (layers): Sequential( + (0): Conv2d(128, 512, kernel_size=(1, 1), stride=(1, 1)) + (1): Conv2d(512, 512, kernel_size=(3, 3), stride=(1, 1), padding=(1, 1), groups=512) + (2): GELU(approximate='none') + (3): Dropout(p=0.0, inplace=False) + (4): Conv2d(512, 128, kernel_size=(1, 1), stride=(1, 1)) + (5): Dropout(p=0.0, inplace=False) + ) + (dropout_layer): DropPath() + ) + ) + (3): TransformerEncoderLayer( + (norm1): LayerNorm((128,), eps=1e-06, elementwise_affine=True) + (attn): EfficientMultiheadAttention( + (attn): MultiheadAttention( + (out_proj): NonDynamicallyQuantizableLinear(in_features=128, out_features=128, bias=True) + ) + (proj_drop): Dropout(p=0.0, inplace=False) + (dropout_layer): DropPath() + (sr): Conv2d(128, 128, kernel_size=(4, 4), stride=(4, 4)) + (norm): LayerNorm((128,), eps=1e-06, elementwise_affine=True) + ) + (norm2): LayerNorm((128,), eps=1e-06, elementwise_affine=True) + (ffn): MixFFN( + (activate): GELU(approximate='none') + (layers): Sequential( + (0): Conv2d(128, 512, kernel_size=(1, 1), stride=(1, 1)) + (1): Conv2d(512, 512, kernel_size=(3, 3), stride=(1, 1), padding=(1, 1), groups=512) + (2): GELU(approximate='none') + (3): Dropout(p=0.0, inplace=False) + (4): Conv2d(512, 128, kernel_size=(1, 1), stride=(1, 1)) + (5): Dropout(p=0.0, inplace=False) + ) + (dropout_layer): DropPath() + ) + ) + ) + (2): LayerNorm((128,), eps=1e-06, elementwise_affine=True) + ) + (2): ModuleList( + (0): PatchEmbed( + (projection): Conv2d(128, 320, kernel_size=(3, 3), stride=(2, 2), padding=(1, 1)) + (norm): LayerNorm((320,), eps=1e-06, elementwise_affine=True) + ) + (1): ModuleList( + (0): TransformerEncoderLayer( + (norm1): LayerNorm((320,), eps=1e-06, elementwise_affine=True) + (attn): EfficientMultiheadAttention( + (attn): MultiheadAttention( + (out_proj): NonDynamicallyQuantizableLinear(in_features=320, out_features=320, bias=True) + ) + (proj_drop): Dropout(p=0.0, inplace=False) + (dropout_layer): DropPath() + (sr): Conv2d(320, 320, kernel_size=(2, 2), stride=(2, 2)) + (norm): LayerNorm((320,), eps=1e-06, elementwise_affine=True) + ) + (norm2): LayerNorm((320,), eps=1e-06, elementwise_affine=True) + (ffn): MixFFN( + (activate): GELU(approximate='none') + (layers): Sequential( + (0): Conv2d(320, 1280, kernel_size=(1, 1), stride=(1, 1)) + (1): Conv2d(1280, 1280, kernel_size=(3, 3), stride=(1, 1), padding=(1, 1), groups=1280) + (2): GELU(approximate='none') + (3): Dropout(p=0.0, inplace=False) + (4): Conv2d(1280, 320, kernel_size=(1, 1), stride=(1, 1)) + (5): Dropout(p=0.0, inplace=False) + ) + (dropout_layer): DropPath() + ) + ) + (1): TransformerEncoderLayer( + (norm1): LayerNorm((320,), eps=1e-06, elementwise_affine=True) + (attn): EfficientMultiheadAttention( + (attn): MultiheadAttention( + (out_proj): NonDynamicallyQuantizableLinear(in_features=320, out_features=320, bias=True) + ) + (proj_drop): Dropout(p=0.0, inplace=False) + (dropout_layer): DropPath() + (sr): Conv2d(320, 320, kernel_size=(2, 2), stride=(2, 2)) + (norm): LayerNorm((320,), eps=1e-06, elementwise_affine=True) + ) + (norm2): LayerNorm((320,), eps=1e-06, elementwise_affine=True) + (ffn): MixFFN( + (activate): GELU(approximate='none') + (layers): Sequential( + (0): Conv2d(320, 1280, kernel_size=(1, 1), stride=(1, 1)) + (1): Conv2d(1280, 1280, kernel_size=(3, 3), stride=(1, 1), padding=(1, 1), groups=1280) + (2): GELU(approximate='none') + (3): Dropout(p=0.0, inplace=False) + (4): Conv2d(1280, 320, kernel_size=(1, 1), stride=(1, 1)) + (5): Dropout(p=0.0, inplace=False) + ) + (dropout_layer): DropPath() + ) + ) + (2): TransformerEncoderLayer( + (norm1): LayerNorm((320,), eps=1e-06, elementwise_affine=True) + (attn): EfficientMultiheadAttention( + (attn): MultiheadAttention( + (out_proj): NonDynamicallyQuantizableLinear(in_features=320, out_features=320, bias=True) + ) + (proj_drop): Dropout(p=0.0, inplace=False) + (dropout_layer): DropPath() + (sr): Conv2d(320, 320, kernel_size=(2, 2), stride=(2, 2)) + (norm): LayerNorm((320,), eps=1e-06, elementwise_affine=True) + ) + (norm2): LayerNorm((320,), eps=1e-06, elementwise_affine=True) + (ffn): MixFFN( + (activate): GELU(approximate='none') + (layers): Sequential( + (0): Conv2d(320, 1280, kernel_size=(1, 1), stride=(1, 1)) + (1): Conv2d(1280, 1280, kernel_size=(3, 3), stride=(1, 1), padding=(1, 1), groups=1280) + (2): GELU(approximate='none') + (3): Dropout(p=0.0, inplace=False) + (4): Conv2d(1280, 320, kernel_size=(1, 1), stride=(1, 1)) + (5): Dropout(p=0.0, inplace=False) + ) + (dropout_layer): DropPath() + ) + ) + (3): TransformerEncoderLayer( + (norm1): LayerNorm((320,), eps=1e-06, elementwise_affine=True) + (attn): EfficientMultiheadAttention( + (attn): MultiheadAttention( + (out_proj): NonDynamicallyQuantizableLinear(in_features=320, out_features=320, bias=True) + ) + (proj_drop): Dropout(p=0.0, inplace=False) + (dropout_layer): DropPath() + (sr): Conv2d(320, 320, kernel_size=(2, 2), stride=(2, 2)) + (norm): LayerNorm((320,), eps=1e-06, elementwise_affine=True) + ) + (norm2): LayerNorm((320,), eps=1e-06, elementwise_affine=True) + (ffn): MixFFN( + (activate): GELU(approximate='none') + (layers): Sequential( + (0): Conv2d(320, 1280, kernel_size=(1, 1), stride=(1, 1)) + (1): Conv2d(1280, 1280, kernel_size=(3, 3), stride=(1, 1), padding=(1, 1), groups=1280) + (2): GELU(approximate='none') + (3): Dropout(p=0.0, inplace=False) + (4): Conv2d(1280, 320, kernel_size=(1, 1), stride=(1, 1)) + (5): Dropout(p=0.0, inplace=False) + ) + (dropout_layer): DropPath() + ) + ) + (4): TransformerEncoderLayer( + (norm1): LayerNorm((320,), eps=1e-06, elementwise_affine=True) + (attn): EfficientMultiheadAttention( + (attn): MultiheadAttention( + (out_proj): NonDynamicallyQuantizableLinear(in_features=320, out_features=320, bias=True) + ) + (proj_drop): Dropout(p=0.0, inplace=False) + (dropout_layer): DropPath() + (sr): Conv2d(320, 320, kernel_size=(2, 2), stride=(2, 2)) + (norm): LayerNorm((320,), eps=1e-06, elementwise_affine=True) + ) + (norm2): LayerNorm((320,), eps=1e-06, elementwise_affine=True) + (ffn): MixFFN( + (activate): GELU(approximate='none') + (layers): Sequential( + (0): Conv2d(320, 1280, kernel_size=(1, 1), stride=(1, 1)) + (1): Conv2d(1280, 1280, kernel_size=(3, 3), stride=(1, 1), padding=(1, 1), groups=1280) + (2): GELU(approximate='none') + (3): Dropout(p=0.0, inplace=False) + (4): Conv2d(1280, 320, kernel_size=(1, 1), stride=(1, 1)) + (5): Dropout(p=0.0, inplace=False) + ) + (dropout_layer): DropPath() + ) + ) + (5): TransformerEncoderLayer( + (norm1): LayerNorm((320,), eps=1e-06, elementwise_affine=True) + (attn): EfficientMultiheadAttention( + (attn): MultiheadAttention( + (out_proj): NonDynamicallyQuantizableLinear(in_features=320, out_features=320, bias=True) + ) + (proj_drop): Dropout(p=0.0, inplace=False) + (dropout_layer): DropPath() + (sr): Conv2d(320, 320, kernel_size=(2, 2), stride=(2, 2)) + (norm): LayerNorm((320,), eps=1e-06, elementwise_affine=True) + ) + (norm2): LayerNorm((320,), eps=1e-06, elementwise_affine=True) + (ffn): MixFFN( + (activate): GELU(approximate='none') + (layers): Sequential( + (0): Conv2d(320, 1280, kernel_size=(1, 1), stride=(1, 1)) + (1): Conv2d(1280, 1280, kernel_size=(3, 3), stride=(1, 1), padding=(1, 1), groups=1280) + (2): GELU(approximate='none') + (3): Dropout(p=0.0, inplace=False) + (4): Conv2d(1280, 320, kernel_size=(1, 1), stride=(1, 1)) + (5): Dropout(p=0.0, inplace=False) + ) + (dropout_layer): DropPath() + ) + ) + ) + (2): LayerNorm((320,), eps=1e-06, elementwise_affine=True) + ) + (3): ModuleList( + (0): PatchEmbed( + (projection): Conv2d(320, 512, kernel_size=(3, 3), stride=(2, 2), padding=(1, 1)) + (norm): LayerNorm((512,), eps=1e-06, elementwise_affine=True) + ) + (1): ModuleList( + (0): TransformerEncoderLayer( + (norm1): LayerNorm((512,), eps=1e-06, elementwise_affine=True) + (attn): EfficientMultiheadAttention( + (attn): MultiheadAttention( + (out_proj): NonDynamicallyQuantizableLinear(in_features=512, out_features=512, bias=True) + ) + (proj_drop): Dropout(p=0.0, inplace=False) + (dropout_layer): DropPath() + ) + (norm2): LayerNorm((512,), eps=1e-06, elementwise_affine=True) + (ffn): MixFFN( + (activate): GELU(approximate='none') + (layers): Sequential( + (0): Conv2d(512, 2048, kernel_size=(1, 1), stride=(1, 1)) + (1): Conv2d(2048, 2048, kernel_size=(3, 3), stride=(1, 1), padding=(1, 1), groups=2048) + (2): GELU(approximate='none') + (3): Dropout(p=0.0, inplace=False) + (4): Conv2d(2048, 512, kernel_size=(1, 1), stride=(1, 1)) + (5): Dropout(p=0.0, inplace=False) + ) + (dropout_layer): DropPath() + ) + ) + (1): TransformerEncoderLayer( + (norm1): LayerNorm((512,), eps=1e-06, elementwise_affine=True) + (attn): EfficientMultiheadAttention( + (attn): MultiheadAttention( + (out_proj): NonDynamicallyQuantizableLinear(in_features=512, out_features=512, bias=True) + ) + (proj_drop): Dropout(p=0.0, inplace=False) + (dropout_layer): DropPath() + ) + (norm2): LayerNorm((512,), eps=1e-06, elementwise_affine=True) + (ffn): MixFFN( + (activate): GELU(approximate='none') + (layers): Sequential( + (0): Conv2d(512, 2048, kernel_size=(1, 1), stride=(1, 1)) + (1): Conv2d(2048, 2048, kernel_size=(3, 3), stride=(1, 1), padding=(1, 1), groups=2048) + (2): GELU(approximate='none') + (3): Dropout(p=0.0, inplace=False) + (4): Conv2d(2048, 512, kernel_size=(1, 1), stride=(1, 1)) + (5): Dropout(p=0.0, inplace=False) + ) + (dropout_layer): DropPath() + ) + ) + (2): TransformerEncoderLayer( + (norm1): LayerNorm((512,), eps=1e-06, elementwise_affine=True) + (attn): EfficientMultiheadAttention( + (attn): MultiheadAttention( + (out_proj): NonDynamicallyQuantizableLinear(in_features=512, out_features=512, bias=True) + ) + (proj_drop): Dropout(p=0.0, inplace=False) + (dropout_layer): DropPath() + ) + (norm2): LayerNorm((512,), eps=1e-06, elementwise_affine=True) + (ffn): MixFFN( + (activate): GELU(approximate='none') + (layers): Sequential( + (0): Conv2d(512, 2048, kernel_size=(1, 1), stride=(1, 1)) + (1): Conv2d(2048, 2048, kernel_size=(3, 3), stride=(1, 1), padding=(1, 1), groups=2048) + (2): GELU(approximate='none') + (3): Dropout(p=0.0, inplace=False) + (4): Conv2d(2048, 512, kernel_size=(1, 1), stride=(1, 1)) + (5): Dropout(p=0.0, inplace=False) + ) + (dropout_layer): DropPath() + ) + ) + ) + (2): LayerNorm((512,), eps=1e-06, elementwise_affine=True) + ) + ) + ) + init_cfg={'type': 'Pretrained', 'checkpoint': 'pretrained/segformer_mit-b2_512x512_160k_ade20k_20220620_114047-64e4feca.pth'} + (decode_head): SegformerHeadUnetFCHeadSingleStepMask( + input_transform=multiple_select, ignore_index=0, align_corners=False + (loss_decode): CrossEntropyLoss(avg_non_ignore=False) + (conv_seg): None + (dropout): Dropout2d(p=0.1, inplace=False) + (convs): ModuleList( + (0): ConvModule( + (conv): Conv2d(64, 256, kernel_size=(1, 1), stride=(1, 1), bias=False) + (bn): SyncBatchNorm(256, eps=1e-05, momentum=0.1, affine=True, track_running_stats=True) + (activate): ReLU(inplace=True) + ) + (1): ConvModule( + (conv): Conv2d(128, 256, kernel_size=(1, 1), stride=(1, 1), bias=False) + (bn): SyncBatchNorm(256, eps=1e-05, momentum=0.1, affine=True, track_running_stats=True) + (activate): ReLU(inplace=True) + ) + (2): ConvModule( + (conv): Conv2d(320, 256, kernel_size=(1, 1), stride=(1, 1), bias=False) + (bn): SyncBatchNorm(256, eps=1e-05, momentum=0.1, affine=True, track_running_stats=True) + (activate): ReLU(inplace=True) + ) + (3): ConvModule( + (conv): Conv2d(512, 256, kernel_size=(1, 1), stride=(1, 1), bias=False) + (bn): SyncBatchNorm(256, eps=1e-05, momentum=0.1, affine=True, track_running_stats=True) + (activate): ReLU(inplace=True) + ) + ) + (fusion_conv): ConvModule( + (conv): Conv2d(1024, 256, kernel_size=(1, 1), stride=(1, 1), bias=False) + (bn): SyncBatchNorm(256, eps=1e-05, momentum=0.1, affine=True, track_running_stats=True) + (activate): ReLU(inplace=True) + ) + (unet): Unet( + (init_conv): Conv2d(272, 128, kernel_size=(7, 7), stride=(1, 1), padding=(3, 3)) + (time_mlp): Sequential( + (0): SinusoidalPosEmb() + (1): Linear(in_features=128, out_features=512, bias=True) + (2): GELU(approximate='none') + (3): Linear(in_features=512, out_features=512, bias=True) + ) + (downs): ModuleList( + (0): ModuleList( + (0): ResnetBlock( + (mlp): Sequential( + (0): SiLU() + (1): Linear(in_features=512, out_features=256, bias=True) + ) + (block1): Block( + (proj): WeightStandardizedConv2d(128, 128, kernel_size=(3, 3), stride=(1, 1), padding=(1, 1)) + (norm): GroupNorm(8, 128, eps=1e-05, affine=True) + (act): SiLU() + ) + (block2): Block( + (proj): WeightStandardizedConv2d(128, 128, kernel_size=(3, 3), stride=(1, 1), padding=(1, 1)) + (norm): GroupNorm(8, 128, eps=1e-05, affine=True) + (act): SiLU() + ) + (res_conv): Identity() + ) + (1): ResnetBlock( + (mlp): Sequential( + (0): SiLU() + (1): Linear(in_features=512, out_features=256, bias=True) + ) + (block1): Block( + (proj): WeightStandardizedConv2d(128, 128, kernel_size=(3, 3), stride=(1, 1), padding=(1, 1)) + (norm): GroupNorm(8, 128, eps=1e-05, affine=True) + (act): SiLU() + ) + (block2): Block( + (proj): WeightStandardizedConv2d(128, 128, kernel_size=(3, 3), stride=(1, 1), padding=(1, 1)) + (norm): GroupNorm(8, 128, eps=1e-05, affine=True) + (act): SiLU() + ) + (res_conv): Identity() + ) + (2): Residual( + (fn): PreNorm( + (fn): LinearAttention( + (to_qkv): Conv2d(128, 384, kernel_size=(1, 1), stride=(1, 1), bias=False) + (to_out): Sequential( + (0): Conv2d(128, 128, kernel_size=(1, 1), stride=(1, 1)) + (1): LayerNorm() + ) + ) + (norm): LayerNorm() + ) + ) + (3): Conv2d(128, 128, kernel_size=(4, 4), stride=(2, 2), padding=(1, 1)) + ) + (1): ModuleList( + (0): ResnetBlock( + (mlp): Sequential( + (0): SiLU() + (1): Linear(in_features=512, out_features=256, bias=True) + ) + (block1): Block( + (proj): WeightStandardizedConv2d(128, 128, kernel_size=(3, 3), stride=(1, 1), padding=(1, 1)) + (norm): GroupNorm(8, 128, eps=1e-05, affine=True) + (act): SiLU() + ) + (block2): Block( + (proj): WeightStandardizedConv2d(128, 128, kernel_size=(3, 3), stride=(1, 1), padding=(1, 1)) + (norm): GroupNorm(8, 128, eps=1e-05, affine=True) + (act): SiLU() + ) + (res_conv): Identity() + ) + (1): ResnetBlock( + (mlp): Sequential( + (0): SiLU() + (1): Linear(in_features=512, out_features=256, bias=True) + ) + (block1): Block( + (proj): WeightStandardizedConv2d(128, 128, kernel_size=(3, 3), stride=(1, 1), padding=(1, 1)) + (norm): GroupNorm(8, 128, eps=1e-05, affine=True) + (act): SiLU() + ) + (block2): Block( + (proj): WeightStandardizedConv2d(128, 128, kernel_size=(3, 3), stride=(1, 1), padding=(1, 1)) + (norm): GroupNorm(8, 128, eps=1e-05, affine=True) + (act): SiLU() + ) + (res_conv): Identity() + ) + (2): Residual( + (fn): PreNorm( + (fn): LinearAttention( + (to_qkv): Conv2d(128, 384, kernel_size=(1, 1), stride=(1, 1), bias=False) + (to_out): Sequential( + (0): Conv2d(128, 128, kernel_size=(1, 1), stride=(1, 1)) + (1): LayerNorm() + ) + ) + (norm): LayerNorm() + ) + ) + (3): Conv2d(128, 128, kernel_size=(4, 4), stride=(2, 2), padding=(1, 1)) + ) + (2): ModuleList( + (0): ResnetBlock( + (mlp): Sequential( + (0): SiLU() + (1): Linear(in_features=512, out_features=256, bias=True) + ) + (block1): Block( + (proj): WeightStandardizedConv2d(128, 128, kernel_size=(3, 3), stride=(1, 1), padding=(1, 1)) + (norm): GroupNorm(8, 128, eps=1e-05, affine=True) + (act): SiLU() + ) + (block2): Block( + (proj): WeightStandardizedConv2d(128, 128, kernel_size=(3, 3), stride=(1, 1), padding=(1, 1)) + (norm): GroupNorm(8, 128, eps=1e-05, affine=True) + (act): SiLU() + ) + (res_conv): Identity() + ) + (1): ResnetBlock( + (mlp): Sequential( + (0): SiLU() + (1): Linear(in_features=512, out_features=256, bias=True) + ) + (block1): Block( + (proj): WeightStandardizedConv2d(128, 128, kernel_size=(3, 3), stride=(1, 1), padding=(1, 1)) + (norm): GroupNorm(8, 128, eps=1e-05, affine=True) + (act): SiLU() + ) + (block2): Block( + (proj): WeightStandardizedConv2d(128, 128, kernel_size=(3, 3), stride=(1, 1), padding=(1, 1)) + (norm): GroupNorm(8, 128, eps=1e-05, affine=True) + (act): SiLU() + ) + (res_conv): Identity() + ) + (2): Residual( + (fn): PreNorm( + (fn): LinearAttention( + (to_qkv): Conv2d(128, 384, kernel_size=(1, 1), stride=(1, 1), bias=False) + (to_out): Sequential( + (0): Conv2d(128, 128, kernel_size=(1, 1), stride=(1, 1)) + (1): LayerNorm() + ) + ) + (norm): LayerNorm() + ) + ) + (3): Conv2d(128, 128, kernel_size=(3, 3), stride=(1, 1), padding=(1, 1)) + ) + ) + (ups): ModuleList( + (0): ModuleList( + (0): ResnetBlock( + (mlp): Sequential( + (0): SiLU() + (1): Linear(in_features=512, out_features=256, bias=True) + ) + (block1): Block( + (proj): WeightStandardizedConv2d(256, 128, kernel_size=(3, 3), stride=(1, 1), padding=(1, 1)) + (norm): GroupNorm(8, 128, eps=1e-05, affine=True) + (act): SiLU() + ) + (block2): Block( + (proj): WeightStandardizedConv2d(128, 128, kernel_size=(3, 3), stride=(1, 1), padding=(1, 1)) + (norm): GroupNorm(8, 128, eps=1e-05, affine=True) + (act): SiLU() + ) + (res_conv): Conv2d(256, 128, kernel_size=(1, 1), stride=(1, 1)) + ) + (1): ResnetBlock( + (mlp): Sequential( + (0): SiLU() + (1): Linear(in_features=512, out_features=256, bias=True) + ) + (block1): Block( + (proj): WeightStandardizedConv2d(256, 128, kernel_size=(3, 3), stride=(1, 1), padding=(1, 1)) + (norm): GroupNorm(8, 128, eps=1e-05, affine=True) + (act): SiLU() + ) + (block2): Block( + (proj): WeightStandardizedConv2d(128, 128, kernel_size=(3, 3), stride=(1, 1), padding=(1, 1)) + (norm): GroupNorm(8, 128, eps=1e-05, affine=True) + (act): SiLU() + ) + (res_conv): Conv2d(256, 128, kernel_size=(1, 1), stride=(1, 1)) + ) + (2): Residual( + (fn): PreNorm( + (fn): LinearAttention( + (to_qkv): Conv2d(128, 384, kernel_size=(1, 1), stride=(1, 1), bias=False) + (to_out): Sequential( + (0): Conv2d(128, 128, kernel_size=(1, 1), stride=(1, 1)) + (1): LayerNorm() + ) + ) + (norm): LayerNorm() + ) + ) + (3): Sequential( + (0): Upsample(scale_factor=2.0, mode=nearest) + (1): Conv2d(128, 128, kernel_size=(3, 3), stride=(1, 1), padding=(1, 1)) + ) + ) + (1): ModuleList( + (0): ResnetBlock( + (mlp): Sequential( + (0): SiLU() + (1): Linear(in_features=512, out_features=256, bias=True) + ) + (block1): Block( + (proj): WeightStandardizedConv2d(256, 128, kernel_size=(3, 3), stride=(1, 1), padding=(1, 1)) + (norm): GroupNorm(8, 128, eps=1e-05, affine=True) + (act): SiLU() + ) + (block2): Block( + (proj): WeightStandardizedConv2d(128, 128, kernel_size=(3, 3), stride=(1, 1), padding=(1, 1)) + (norm): GroupNorm(8, 128, eps=1e-05, affine=True) + (act): SiLU() + ) + (res_conv): Conv2d(256, 128, kernel_size=(1, 1), stride=(1, 1)) + ) + (1): ResnetBlock( + (mlp): Sequential( + (0): SiLU() + (1): Linear(in_features=512, out_features=256, bias=True) + ) + (block1): Block( + (proj): WeightStandardizedConv2d(256, 128, kernel_size=(3, 3), stride=(1, 1), padding=(1, 1)) + (norm): GroupNorm(8, 128, eps=1e-05, affine=True) + (act): SiLU() + ) + (block2): Block( + (proj): WeightStandardizedConv2d(128, 128, kernel_size=(3, 3), stride=(1, 1), padding=(1, 1)) + (norm): GroupNorm(8, 128, eps=1e-05, affine=True) + (act): SiLU() + ) + (res_conv): Conv2d(256, 128, kernel_size=(1, 1), stride=(1, 1)) + ) + (2): Residual( + (fn): PreNorm( + (fn): LinearAttention( + (to_qkv): Conv2d(128, 384, kernel_size=(1, 1), stride=(1, 1), bias=False) + (to_out): Sequential( + (0): Conv2d(128, 128, kernel_size=(1, 1), stride=(1, 1)) + (1): LayerNorm() + ) + ) + (norm): LayerNorm() + ) + ) + (3): Sequential( + (0): Upsample(scale_factor=2.0, mode=nearest) + (1): Conv2d(128, 128, kernel_size=(3, 3), stride=(1, 1), padding=(1, 1)) + ) + ) + (2): ModuleList( + (0): ResnetBlock( + (mlp): Sequential( + (0): SiLU() + (1): Linear(in_features=512, out_features=256, bias=True) + ) + (block1): Block( + (proj): WeightStandardizedConv2d(256, 128, kernel_size=(3, 3), stride=(1, 1), padding=(1, 1)) + (norm): GroupNorm(8, 128, eps=1e-05, affine=True) + (act): SiLU() + ) + (block2): Block( + (proj): WeightStandardizedConv2d(128, 128, kernel_size=(3, 3), stride=(1, 1), padding=(1, 1)) + (norm): GroupNorm(8, 128, eps=1e-05, affine=True) + (act): SiLU() + ) + (res_conv): Conv2d(256, 128, kernel_size=(1, 1), stride=(1, 1)) + ) + (1): ResnetBlock( + (mlp): Sequential( + (0): SiLU() + (1): Linear(in_features=512, out_features=256, bias=True) + ) + (block1): Block( + (proj): WeightStandardizedConv2d(256, 128, kernel_size=(3, 3), stride=(1, 1), padding=(1, 1)) + (norm): GroupNorm(8, 128, eps=1e-05, affine=True) + (act): SiLU() + ) + (block2): Block( + (proj): WeightStandardizedConv2d(128, 128, kernel_size=(3, 3), stride=(1, 1), padding=(1, 1)) + (norm): GroupNorm(8, 128, eps=1e-05, affine=True) + (act): SiLU() + ) + (res_conv): Conv2d(256, 128, kernel_size=(1, 1), stride=(1, 1)) + ) + (2): Residual( + (fn): PreNorm( + (fn): LinearAttention( + (to_qkv): Conv2d(128, 384, kernel_size=(1, 1), stride=(1, 1), bias=False) + (to_out): Sequential( + (0): Conv2d(128, 128, kernel_size=(1, 1), stride=(1, 1)) + (1): LayerNorm() + ) + ) + (norm): LayerNorm() + ) + ) + (3): Conv2d(128, 128, kernel_size=(3, 3), stride=(1, 1), padding=(1, 1)) + ) + ) + (mid_block1): ResnetBlock( + (mlp): Sequential( + (0): SiLU() + (1): Linear(in_features=512, out_features=256, bias=True) + ) + (block1): Block( + (proj): WeightStandardizedConv2d(128, 128, kernel_size=(3, 3), stride=(1, 1), padding=(1, 1)) + (norm): GroupNorm(8, 128, eps=1e-05, affine=True) + (act): SiLU() + ) + (block2): Block( + (proj): WeightStandardizedConv2d(128, 128, kernel_size=(3, 3), stride=(1, 1), padding=(1, 1)) + (norm): GroupNorm(8, 128, eps=1e-05, affine=True) + (act): SiLU() + ) + (res_conv): Identity() + ) + (mid_attn): Residual( + (fn): PreNorm( + (fn): Attention( + (to_qkv): Conv2d(128, 384, kernel_size=(1, 1), stride=(1, 1), bias=False) + (to_out): Conv2d(128, 128, kernel_size=(1, 1), stride=(1, 1)) + ) + (norm): LayerNorm() + ) + ) + (mid_block2): ResnetBlock( + (mlp): Sequential( + (0): SiLU() + (1): Linear(in_features=512, out_features=256, bias=True) + ) + (block1): Block( + (proj): WeightStandardizedConv2d(128, 128, kernel_size=(3, 3), stride=(1, 1), padding=(1, 1)) + (norm): GroupNorm(8, 128, eps=1e-05, affine=True) + (act): SiLU() + ) + (block2): Block( + (proj): WeightStandardizedConv2d(128, 128, kernel_size=(3, 3), stride=(1, 1), padding=(1, 1)) + (norm): GroupNorm(8, 128, eps=1e-05, affine=True) + (act): SiLU() + ) + (res_conv): Identity() + ) + (final_res_block): ResnetBlock( + (mlp): Sequential( + (0): SiLU() + (1): Linear(in_features=512, out_features=256, bias=True) + ) + (block1): Block( + (proj): WeightStandardizedConv2d(256, 128, kernel_size=(3, 3), stride=(1, 1), padding=(1, 1)) + (norm): GroupNorm(8, 128, eps=1e-05, affine=True) + (act): SiLU() + ) + (block2): Block( + (proj): WeightStandardizedConv2d(128, 128, kernel_size=(3, 3), stride=(1, 1), padding=(1, 1)) + (norm): GroupNorm(8, 128, eps=1e-05, affine=True) + (act): SiLU() + ) + (res_conv): Conv2d(256, 128, kernel_size=(1, 1), stride=(1, 1)) + ) + (final_conv): Conv2d(128, 256, kernel_size=(1, 1), stride=(1, 1)) + ) + (conv_seg_new): Conv2d(256, 151, kernel_size=(1, 1), stride=(1, 1)) + (embed): Embedding(152, 16) + ) + init_cfg={'type': 'Pretrained', 'checkpoint': 'pretrained/segformer_mit-b2_512x512_160k_ade20k_20220620_114047-64e4feca.pth'} +) +2023-03-04 10:39:41,082 - mmseg - INFO - Loaded 20210 images +2023-03-04 10:39:42,091 - mmseg - INFO - Loaded 2000 images +2023-03-04 10:39:42,094 - mmseg - INFO - Start running, host: laizeqiang@SH-IDC1-10-140-37-113, work_dir: /mnt/petrelfs/laizeqiang/mmseg-baseline/work_dirs2/ablation_segformer_mit_b2_segformer_head_unet_fc_single_step_ade_pretrained_freeze_embed_80k_ade20k151_mask +2023-03-04 10:39:42,095 - mmseg - INFO - Hooks will be executed in the following order: +before_run: +(VERY_HIGH ) StepLrUpdaterHook +(NORMAL ) CheckpointHook +(LOW ) DistEvalHookMultiSteps +(VERY_LOW ) TextLoggerHook + -------------------- +before_train_epoch: +(VERY_HIGH ) StepLrUpdaterHook +(LOW ) IterTimerHook +(LOW ) DistEvalHookMultiSteps +(VERY_LOW ) TextLoggerHook + -------------------- +before_train_iter: +(VERY_HIGH ) StepLrUpdaterHook +(LOW ) IterTimerHook +(LOW ) DistEvalHookMultiSteps + -------------------- +after_train_iter: +(ABOVE_NORMAL) OptimizerHook +(NORMAL ) CheckpointHook +(LOW ) IterTimerHook +(LOW ) DistEvalHookMultiSteps +(VERY_LOW ) TextLoggerHook + -------------------- +after_train_epoch: +(NORMAL ) CheckpointHook +(LOW ) DistEvalHookMultiSteps +(VERY_LOW ) TextLoggerHook + -------------------- +before_val_epoch: +(LOW ) IterTimerHook +(VERY_LOW ) TextLoggerHook + -------------------- +before_val_iter: +(LOW ) IterTimerHook + -------------------- +after_val_iter: +(LOW ) IterTimerHook + -------------------- +after_val_epoch: +(VERY_LOW ) TextLoggerHook + -------------------- +after_run: +(VERY_LOW ) TextLoggerHook + -------------------- +2023-03-04 10:39:42,095 - mmseg - INFO - workflow: [('train', 1)], max: 80000 iters +2023-03-04 10:39:42,095 - mmseg - INFO - Checkpoints will be saved to /mnt/petrelfs/laizeqiang/mmseg-baseline/work_dirs2/ablation_segformer_mit_b2_segformer_head_unet_fc_single_step_ade_pretrained_freeze_embed_80k_ade20k151_mask by HardDiskBackend. +2023-03-04 10:40:19,768 - mmseg - INFO - Iter [50/80000] lr: 7.350e-06, eta: 6:25:03, time: 0.289, data_time: 0.015, memory: 19783, decode.loss_ce: 3.7859, decode.acc_seg: 13.4490, loss: 3.7859 +2023-03-04 10:40:28,394 - mmseg - INFO - Iter [100/80000] lr: 1.485e-05, eta: 5:07:16, time: 0.173, data_time: 0.007, memory: 19783, decode.loss_ce: 2.9195, decode.acc_seg: 44.1399, loss: 2.9195 +2023-03-04 10:40:37,170 - mmseg - INFO - Iter [150/80000] lr: 2.235e-05, eta: 4:42:33, time: 0.175, data_time: 0.007, memory: 19783, decode.loss_ce: 2.1041, decode.acc_seg: 53.5898, loss: 2.1041 +2023-03-04 10:40:45,505 - mmseg - INFO - Iter [200/80000] lr: 2.985e-05, eta: 4:27:13, time: 0.167, data_time: 0.007, memory: 19783, decode.loss_ce: 1.6526, decode.acc_seg: 62.4784, loss: 1.6526 +2023-03-04 10:40:54,703 - mmseg - INFO - Iter [250/80000] lr: 3.735e-05, eta: 4:22:32, time: 0.184, data_time: 0.008, memory: 19783, decode.loss_ce: 1.3220, decode.acc_seg: 68.9933, loss: 1.3220 +2023-03-04 10:41:02,996 - mmseg - INFO - Iter [300/80000] lr: 4.485e-05, eta: 4:15:21, time: 0.166, data_time: 0.007, memory: 19783, decode.loss_ce: 1.0711, decode.acc_seg: 74.7625, loss: 1.0711 +2023-03-04 10:41:11,869 - mmseg - INFO - Iter [350/80000] lr: 5.235e-05, eta: 4:12:22, time: 0.177, data_time: 0.008, memory: 19783, decode.loss_ce: 0.8786, decode.acc_seg: 77.9736, loss: 0.8786 +2023-03-04 10:41:20,062 - mmseg - INFO - Iter [400/80000] lr: 5.985e-05, eta: 4:07:52, time: 0.164, data_time: 0.008, memory: 19783, decode.loss_ce: 0.7595, decode.acc_seg: 80.1142, loss: 0.7595 +2023-03-04 10:41:28,322 - mmseg - INFO - Iter [450/80000] lr: 6.735e-05, eta: 4:04:32, time: 0.165, data_time: 0.008, memory: 19783, decode.loss_ce: 0.7039, decode.acc_seg: 80.5049, loss: 0.7039 +2023-03-04 10:41:36,777 - mmseg - INFO - Iter [500/80000] lr: 7.485e-05, eta: 4:02:20, time: 0.169, data_time: 0.008, memory: 19783, decode.loss_ce: 0.5658, decode.acc_seg: 84.0258, loss: 0.5658 +2023-03-04 10:41:45,429 - mmseg - INFO - Iter [550/80000] lr: 8.235e-05, eta: 4:01:00, time: 0.173, data_time: 0.007, memory: 19783, decode.loss_ce: 0.5104, decode.acc_seg: 84.6513, loss: 0.5104 +2023-03-04 10:41:53,959 - mmseg - INFO - Iter [600/80000] lr: 8.985e-05, eta: 3:59:35, time: 0.170, data_time: 0.007, memory: 19783, decode.loss_ce: 0.4669, decode.acc_seg: 85.4204, loss: 0.4669 +2023-03-04 10:42:05,131 - mmseg - INFO - Iter [650/80000] lr: 9.735e-05, eta: 4:03:44, time: 0.223, data_time: 0.056, memory: 19783, decode.loss_ce: 0.4262, decode.acc_seg: 86.1640, loss: 0.4262 +2023-03-04 10:42:13,516 - mmseg - INFO - Iter [700/80000] lr: 1.049e-04, eta: 4:02:02, time: 0.168, data_time: 0.007, memory: 19783, decode.loss_ce: 0.3909, decode.acc_seg: 86.6498, loss: 0.3909 +2023-03-04 10:42:22,014 - mmseg - INFO - Iter [750/80000] lr: 1.124e-04, eta: 4:00:42, time: 0.170, data_time: 0.007, memory: 19783, decode.loss_ce: 0.3580, decode.acc_seg: 87.6399, loss: 0.3580 +2023-03-04 10:42:30,418 - mmseg - INFO - Iter [800/80000] lr: 1.199e-04, eta: 3:59:24, time: 0.168, data_time: 0.007, memory: 19783, decode.loss_ce: 0.3727, decode.acc_seg: 87.0897, loss: 0.3727 +2023-03-04 10:42:38,996 - mmseg - INFO - Iter [850/80000] lr: 1.274e-04, eta: 3:58:29, time: 0.172, data_time: 0.007, memory: 19783, decode.loss_ce: 0.3519, decode.acc_seg: 87.4741, loss: 0.3519 +2023-03-04 10:42:47,867 - mmseg - INFO - Iter [900/80000] lr: 1.349e-04, eta: 3:58:05, time: 0.177, data_time: 0.008, memory: 19783, decode.loss_ce: 0.3370, decode.acc_seg: 87.8333, loss: 0.3370 +2023-03-04 10:42:56,616 - mmseg - INFO - Iter [950/80000] lr: 1.424e-04, eta: 3:57:32, time: 0.175, data_time: 0.007, memory: 19783, decode.loss_ce: 0.3321, decode.acc_seg: 87.9078, loss: 0.3321 +2023-03-04 10:43:05,510 - mmseg - INFO - Exp name: ablation_segformer_mit_b2_segformer_head_unet_fc_single_step_ade_pretrained_freeze_embed_80k_ade20k151_mask.py +2023-03-04 10:43:05,511 - mmseg - INFO - Iter [1000/80000] lr: 1.499e-04, eta: 3:57:14, time: 0.178, data_time: 0.007, memory: 19783, decode.loss_ce: 0.3253, decode.acc_seg: 87.8060, loss: 0.3253 +2023-03-04 10:43:13,862 - mmseg - INFO - Iter [1050/80000] lr: 1.500e-04, eta: 3:56:15, time: 0.167, data_time: 0.007, memory: 19783, decode.loss_ce: 0.3173, decode.acc_seg: 88.3146, loss: 0.3173 +2023-03-04 10:43:22,272 - mmseg - INFO - Iter [1100/80000] lr: 1.500e-04, eta: 3:55:26, time: 0.168, data_time: 0.007, memory: 19783, decode.loss_ce: 0.3194, decode.acc_seg: 88.1590, loss: 0.3194 +2023-03-04 10:43:30,663 - mmseg - INFO - Iter [1150/80000] lr: 1.500e-04, eta: 3:54:38, time: 0.168, data_time: 0.007, memory: 19783, decode.loss_ce: 0.3151, decode.acc_seg: 88.1037, loss: 0.3151 +2023-03-04 10:43:38,890 - mmseg - INFO - Iter [1200/80000] lr: 1.500e-04, eta: 3:53:43, time: 0.165, data_time: 0.007, memory: 19783, decode.loss_ce: 0.2937, decode.acc_seg: 89.0985, loss: 0.2937 +2023-03-04 10:43:47,316 - mmseg - INFO - Iter [1250/80000] lr: 1.500e-04, eta: 3:53:04, time: 0.168, data_time: 0.007, memory: 19783, decode.loss_ce: 0.2911, decode.acc_seg: 88.9765, loss: 0.2911 +2023-03-04 10:43:57,906 - mmseg - INFO - Iter [1300/80000] lr: 1.500e-04, eta: 3:54:39, time: 0.212, data_time: 0.054, memory: 19783, decode.loss_ce: 0.2841, decode.acc_seg: 89.2974, loss: 0.2841 +2023-03-04 10:44:06,044 - mmseg - INFO - Iter [1350/80000] lr: 1.500e-04, eta: 3:53:43, time: 0.163, data_time: 0.007, memory: 19783, decode.loss_ce: 0.2847, decode.acc_seg: 88.9205, loss: 0.2847 +2023-03-04 10:44:14,181 - mmseg - INFO - Iter [1400/80000] lr: 1.500e-04, eta: 3:52:51, time: 0.163, data_time: 0.007, memory: 19783, decode.loss_ce: 0.2892, decode.acc_seg: 89.1170, loss: 0.2892 +2023-03-04 10:44:22,355 - mmseg - INFO - Iter [1450/80000] lr: 1.500e-04, eta: 3:52:03, time: 0.163, data_time: 0.007, memory: 19783, decode.loss_ce: 0.2827, decode.acc_seg: 89.0879, loss: 0.2827 +2023-03-04 10:44:30,701 - mmseg - INFO - Iter [1500/80000] lr: 1.500e-04, eta: 3:51:27, time: 0.167, data_time: 0.007, memory: 19783, decode.loss_ce: 0.2832, decode.acc_seg: 88.9422, loss: 0.2832 +2023-03-04 10:44:39,023 - mmseg - INFO - Iter [1550/80000] lr: 1.500e-04, eta: 3:50:52, time: 0.167, data_time: 0.008, memory: 19783, decode.loss_ce: 0.2921, decode.acc_seg: 88.8510, loss: 0.2921 +2023-03-04 10:44:47,471 - mmseg - INFO - Iter [1600/80000] lr: 1.500e-04, eta: 3:50:24, time: 0.169, data_time: 0.007, memory: 19783, decode.loss_ce: 0.2803, decode.acc_seg: 89.1634, loss: 0.2803 +2023-03-04 10:44:56,042 - mmseg - INFO - Iter [1650/80000] lr: 1.500e-04, eta: 3:50:04, time: 0.171, data_time: 0.007, memory: 19783, decode.loss_ce: 0.2740, decode.acc_seg: 89.4784, loss: 0.2740 +2023-03-04 10:45:04,568 - mmseg - INFO - Iter [1700/80000] lr: 1.500e-04, eta: 3:49:42, time: 0.170, data_time: 0.007, memory: 19783, decode.loss_ce: 0.2794, decode.acc_seg: 89.0487, loss: 0.2794 +2023-03-04 10:45:12,954 - mmseg - INFO - Iter [1750/80000] lr: 1.500e-04, eta: 3:49:14, time: 0.168, data_time: 0.007, memory: 19783, decode.loss_ce: 0.2729, decode.acc_seg: 89.3096, loss: 0.2729 +2023-03-04 10:45:21,504 - mmseg - INFO - Iter [1800/80000] lr: 1.500e-04, eta: 3:48:55, time: 0.171, data_time: 0.007, memory: 19783, decode.loss_ce: 0.2543, decode.acc_seg: 89.9217, loss: 0.2543 +2023-03-04 10:45:29,939 - mmseg - INFO - Iter [1850/80000] lr: 1.500e-04, eta: 3:48:32, time: 0.169, data_time: 0.008, memory: 19783, decode.loss_ce: 0.2710, decode.acc_seg: 89.3832, loss: 0.2710 +2023-03-04 10:45:41,141 - mmseg - INFO - Iter [1900/80000] lr: 1.500e-04, eta: 3:50:03, time: 0.224, data_time: 0.055, memory: 19783, decode.loss_ce: 0.2626, decode.acc_seg: 89.7940, loss: 0.2626 +2023-03-04 10:45:49,790 - mmseg - INFO - Iter [1950/80000] lr: 1.500e-04, eta: 3:49:46, time: 0.173, data_time: 0.007, memory: 19783, decode.loss_ce: 0.2754, decode.acc_seg: 89.2875, loss: 0.2754 +2023-03-04 10:45:58,104 - mmseg - INFO - Exp name: ablation_segformer_mit_b2_segformer_head_unet_fc_single_step_ade_pretrained_freeze_embed_80k_ade20k151_mask.py +2023-03-04 10:45:58,104 - mmseg - INFO - Iter [2000/80000] lr: 1.500e-04, eta: 3:49:17, time: 0.166, data_time: 0.007, memory: 19783, decode.loss_ce: 0.2625, decode.acc_seg: 89.7253, loss: 0.2625 +2023-03-04 10:46:06,913 - mmseg - INFO - Iter [2050/80000] lr: 1.500e-04, eta: 3:49:08, time: 0.176, data_time: 0.007, memory: 19783, decode.loss_ce: 0.2689, decode.acc_seg: 89.6072, loss: 0.2689 +2023-03-04 10:46:15,126 - mmseg - INFO - Iter [2100/80000] lr: 1.500e-04, eta: 3:48:37, time: 0.164, data_time: 0.007, memory: 19783, decode.loss_ce: 0.2552, decode.acc_seg: 89.8869, loss: 0.2552 +2023-03-04 10:46:23,456 - mmseg - INFO - Iter [2150/80000] lr: 1.500e-04, eta: 3:48:11, time: 0.166, data_time: 0.007, memory: 19783, decode.loss_ce: 0.2610, decode.acc_seg: 89.7910, loss: 0.2610 +2023-03-04 10:46:32,028 - mmseg - INFO - Iter [2200/80000] lr: 1.500e-04, eta: 3:47:54, time: 0.172, data_time: 0.007, memory: 19783, decode.loss_ce: 0.2627, decode.acc_seg: 89.6450, loss: 0.2627 +2023-03-04 10:46:40,360 - mmseg - INFO - Iter [2250/80000] lr: 1.500e-04, eta: 3:47:30, time: 0.167, data_time: 0.007, memory: 19783, decode.loss_ce: 0.2678, decode.acc_seg: 89.3489, loss: 0.2678 +2023-03-04 10:46:48,902 - mmseg - INFO - Iter [2300/80000] lr: 1.500e-04, eta: 3:47:13, time: 0.171, data_time: 0.007, memory: 19783, decode.loss_ce: 0.2612, decode.acc_seg: 89.6551, loss: 0.2612 +2023-03-04 10:46:57,199 - mmseg - INFO - Iter [2350/80000] lr: 1.500e-04, eta: 3:46:49, time: 0.166, data_time: 0.007, memory: 19783, decode.loss_ce: 0.2651, decode.acc_seg: 89.4492, loss: 0.2651 +2023-03-04 10:47:05,911 - mmseg - INFO - Iter [2400/80000] lr: 1.500e-04, eta: 3:46:38, time: 0.174, data_time: 0.007, memory: 19783, decode.loss_ce: 0.2513, decode.acc_seg: 89.9775, loss: 0.2513 +2023-03-04 10:47:14,559 - mmseg - INFO - Iter [2450/80000] lr: 1.500e-04, eta: 3:46:26, time: 0.173, data_time: 0.007, memory: 19783, decode.loss_ce: 0.2664, decode.acc_seg: 89.3411, loss: 0.2664 +2023-03-04 10:47:23,071 - mmseg - INFO - Iter [2500/80000] lr: 1.500e-04, eta: 3:46:09, time: 0.170, data_time: 0.007, memory: 19783, decode.loss_ce: 0.2621, decode.acc_seg: 89.7861, loss: 0.2621 +2023-03-04 10:47:33,849 - mmseg - INFO - Iter [2550/80000] lr: 1.500e-04, eta: 3:47:02, time: 0.215, data_time: 0.052, memory: 19783, decode.loss_ce: 0.2430, decode.acc_seg: 90.1081, loss: 0.2430 +2023-03-04 10:47:42,586 - mmseg - INFO - Iter [2600/80000] lr: 1.500e-04, eta: 3:46:51, time: 0.175, data_time: 0.007, memory: 19783, decode.loss_ce: 0.2538, decode.acc_seg: 90.0208, loss: 0.2538 +2023-03-04 10:47:50,929 - mmseg - INFO - Iter [2650/80000] lr: 1.500e-04, eta: 3:46:29, time: 0.167, data_time: 0.007, memory: 19783, decode.loss_ce: 0.2603, decode.acc_seg: 89.7723, loss: 0.2603 +2023-03-04 10:47:59,288 - mmseg - INFO - Iter [2700/80000] lr: 1.500e-04, eta: 3:46:09, time: 0.167, data_time: 0.007, memory: 19783, decode.loss_ce: 0.2666, decode.acc_seg: 89.2236, loss: 0.2666 +2023-03-04 10:48:07,657 - mmseg - INFO - Iter [2750/80000] lr: 1.500e-04, eta: 3:45:48, time: 0.167, data_time: 0.008, memory: 19783, decode.loss_ce: 0.2615, decode.acc_seg: 89.5421, loss: 0.2615 +2023-03-04 10:48:15,801 - mmseg - INFO - Iter [2800/80000] lr: 1.500e-04, eta: 3:45:22, time: 0.163, data_time: 0.007, memory: 19783, decode.loss_ce: 0.2504, decode.acc_seg: 89.9115, loss: 0.2504 +2023-03-04 10:48:24,489 - mmseg - INFO - Iter [2850/80000] lr: 1.500e-04, eta: 3:45:11, time: 0.174, data_time: 0.007, memory: 19783, decode.loss_ce: 0.2543, decode.acc_seg: 89.8737, loss: 0.2543 +2023-03-04 10:48:33,268 - mmseg - INFO - Iter [2900/80000] lr: 1.500e-04, eta: 3:45:03, time: 0.176, data_time: 0.008, memory: 19783, decode.loss_ce: 0.2511, decode.acc_seg: 89.8458, loss: 0.2511 +2023-03-04 10:48:41,822 - mmseg - INFO - Iter [2950/80000] lr: 1.500e-04, eta: 3:44:49, time: 0.171, data_time: 0.007, memory: 19783, decode.loss_ce: 0.2501, decode.acc_seg: 90.1233, loss: 0.2501 +2023-03-04 10:48:50,016 - mmseg - INFO - Exp name: ablation_segformer_mit_b2_segformer_head_unet_fc_single_step_ade_pretrained_freeze_embed_80k_ade20k151_mask.py +2023-03-04 10:48:50,016 - mmseg - INFO - Iter [3000/80000] lr: 1.500e-04, eta: 3:44:26, time: 0.164, data_time: 0.007, memory: 19783, decode.loss_ce: 0.2560, decode.acc_seg: 89.8225, loss: 0.2560 +2023-03-04 10:48:58,989 - mmseg - INFO - Iter [3050/80000] lr: 1.500e-04, eta: 3:44:23, time: 0.179, data_time: 0.007, memory: 19783, decode.loss_ce: 0.2596, decode.acc_seg: 89.8237, loss: 0.2596 +2023-03-04 10:49:07,425 - mmseg - INFO - Iter [3100/80000] lr: 1.500e-04, eta: 3:44:06, time: 0.169, data_time: 0.007, memory: 19783, decode.loss_ce: 0.2553, decode.acc_seg: 89.7767, loss: 0.2553 +2023-03-04 10:49:16,128 - mmseg - INFO - Iter [3150/80000] lr: 1.500e-04, eta: 3:43:57, time: 0.174, data_time: 0.007, memory: 19783, decode.loss_ce: 0.2580, decode.acc_seg: 89.6480, loss: 0.2580 +2023-03-04 10:49:26,984 - mmseg - INFO - Iter [3200/80000] lr: 1.500e-04, eta: 3:44:39, time: 0.217, data_time: 0.055, memory: 19783, decode.loss_ce: 0.2482, decode.acc_seg: 90.1017, loss: 0.2482 +2023-03-04 10:49:35,204 - mmseg - INFO - Iter [3250/80000] lr: 1.500e-04, eta: 3:44:17, time: 0.164, data_time: 0.007, memory: 19783, decode.loss_ce: 0.2407, decode.acc_seg: 90.3456, loss: 0.2407 +2023-03-04 10:49:43,357 - mmseg - INFO - Iter [3300/80000] lr: 1.500e-04, eta: 3:43:54, time: 0.163, data_time: 0.007, memory: 19783, decode.loss_ce: 0.2432, decode.acc_seg: 90.3905, loss: 0.2432 +2023-03-04 10:49:51,699 - mmseg - INFO - Iter [3350/80000] lr: 1.500e-04, eta: 3:43:36, time: 0.167, data_time: 0.007, memory: 19783, decode.loss_ce: 0.2476, decode.acc_seg: 90.0593, loss: 0.2476 +2023-03-04 10:49:59,822 - mmseg - INFO - Iter [3400/80000] lr: 1.500e-04, eta: 3:43:13, time: 0.162, data_time: 0.007, memory: 19783, decode.loss_ce: 0.2412, decode.acc_seg: 90.3920, loss: 0.2412 +2023-03-04 10:50:08,120 - mmseg - INFO - Iter [3450/80000] lr: 1.500e-04, eta: 3:42:54, time: 0.166, data_time: 0.008, memory: 19783, decode.loss_ce: 0.2498, decode.acc_seg: 89.7723, loss: 0.2498 +2023-03-04 10:50:16,596 - mmseg - INFO - Iter [3500/80000] lr: 1.500e-04, eta: 3:42:40, time: 0.169, data_time: 0.008, memory: 19783, decode.loss_ce: 0.2521, decode.acc_seg: 89.7954, loss: 0.2521 +2023-03-04 10:50:25,020 - mmseg - INFO - Iter [3550/80000] lr: 1.500e-04, eta: 3:42:24, time: 0.168, data_time: 0.008, memory: 19783, decode.loss_ce: 0.2620, decode.acc_seg: 89.4047, loss: 0.2620 +2023-03-04 10:50:33,206 - mmseg - INFO - Iter [3600/80000] lr: 1.500e-04, eta: 3:42:04, time: 0.164, data_time: 0.008, memory: 19783, decode.loss_ce: 0.2496, decode.acc_seg: 89.7942, loss: 0.2496 +2023-03-04 10:50:41,827 - mmseg - INFO - Iter [3650/80000] lr: 1.500e-04, eta: 3:41:53, time: 0.172, data_time: 0.007, memory: 19783, decode.loss_ce: 0.2358, decode.acc_seg: 90.5511, loss: 0.2358 +2023-03-04 10:50:50,373 - mmseg - INFO - Iter [3700/80000] lr: 1.500e-04, eta: 3:41:41, time: 0.171, data_time: 0.007, memory: 19783, decode.loss_ce: 0.2532, decode.acc_seg: 89.9536, loss: 0.2532 +2023-03-04 10:50:58,771 - mmseg - INFO - Iter [3750/80000] lr: 1.500e-04, eta: 3:41:26, time: 0.168, data_time: 0.007, memory: 19783, decode.loss_ce: 0.2533, decode.acc_seg: 89.7424, loss: 0.2533 +2023-03-04 10:51:10,308 - mmseg - INFO - Iter [3800/80000] lr: 1.500e-04, eta: 3:42:14, time: 0.231, data_time: 0.054, memory: 19783, decode.loss_ce: 0.2479, decode.acc_seg: 89.9442, loss: 0.2479 +2023-03-04 10:51:18,725 - mmseg - INFO - Iter [3850/80000] lr: 1.500e-04, eta: 3:41:58, time: 0.169, data_time: 0.007, memory: 19783, decode.loss_ce: 0.2395, decode.acc_seg: 90.1810, loss: 0.2395 +2023-03-04 10:51:27,497 - mmseg - INFO - Iter [3900/80000] lr: 1.500e-04, eta: 3:41:50, time: 0.175, data_time: 0.008, memory: 19783, decode.loss_ce: 0.2346, decode.acc_seg: 90.4616, loss: 0.2346 +2023-03-04 10:51:35,887 - mmseg - INFO - Iter [3950/80000] lr: 1.500e-04, eta: 3:41:35, time: 0.168, data_time: 0.008, memory: 19783, decode.loss_ce: 0.2477, decode.acc_seg: 90.0169, loss: 0.2477 +2023-03-04 10:51:44,251 - mmseg - INFO - Exp name: ablation_segformer_mit_b2_segformer_head_unet_fc_single_step_ade_pretrained_freeze_embed_80k_ade20k151_mask.py +2023-03-04 10:51:44,251 - mmseg - INFO - Iter [4000/80000] lr: 1.500e-04, eta: 3:41:19, time: 0.167, data_time: 0.007, memory: 19783, decode.loss_ce: 0.2463, decode.acc_seg: 90.2101, loss: 0.2463 +2023-03-04 10:51:52,831 - mmseg - INFO - Iter [4050/80000] lr: 1.500e-04, eta: 3:41:07, time: 0.172, data_time: 0.008, memory: 19783, decode.loss_ce: 0.2341, decode.acc_seg: 90.5790, loss: 0.2341 +2023-03-04 10:52:01,011 - mmseg - INFO - Iter [4100/80000] lr: 1.500e-04, eta: 3:40:48, time: 0.163, data_time: 0.007, memory: 19783, decode.loss_ce: 0.2457, decode.acc_seg: 90.1654, loss: 0.2457 +2023-03-04 10:52:09,434 - mmseg - INFO - Iter [4150/80000] lr: 1.500e-04, eta: 3:40:34, time: 0.169, data_time: 0.007, memory: 19783, decode.loss_ce: 0.2428, decode.acc_seg: 90.2830, loss: 0.2428 +2023-03-04 10:52:17,813 - mmseg - INFO - Iter [4200/80000] lr: 1.500e-04, eta: 3:40:19, time: 0.168, data_time: 0.008, memory: 19783, decode.loss_ce: 0.2396, decode.acc_seg: 90.3066, loss: 0.2396 +2023-03-04 10:52:26,312 - mmseg - INFO - Iter [4250/80000] lr: 1.500e-04, eta: 3:40:06, time: 0.170, data_time: 0.007, memory: 19783, decode.loss_ce: 0.2479, decode.acc_seg: 90.0032, loss: 0.2479 +2023-03-04 10:52:34,715 - mmseg - INFO - Iter [4300/80000] lr: 1.500e-04, eta: 3:39:52, time: 0.168, data_time: 0.007, memory: 19783, decode.loss_ce: 0.2313, decode.acc_seg: 90.5487, loss: 0.2313 +2023-03-04 10:52:43,128 - mmseg - INFO - Iter [4350/80000] lr: 1.500e-04, eta: 3:39:38, time: 0.168, data_time: 0.007, memory: 19783, decode.loss_ce: 0.2404, decode.acc_seg: 90.4703, loss: 0.2404 +2023-03-04 10:52:51,656 - mmseg - INFO - Iter [4400/80000] lr: 1.500e-04, eta: 3:39:26, time: 0.171, data_time: 0.007, memory: 19783, decode.loss_ce: 0.2455, decode.acc_seg: 89.9588, loss: 0.2455 +2023-03-04 10:53:02,324 - mmseg - INFO - Iter [4450/80000] lr: 1.500e-04, eta: 3:39:51, time: 0.213, data_time: 0.054, memory: 19783, decode.loss_ce: 0.2265, decode.acc_seg: 90.9040, loss: 0.2265 +2023-03-04 10:53:10,677 - mmseg - INFO - Iter [4500/80000] lr: 1.500e-04, eta: 3:39:35, time: 0.167, data_time: 0.007, memory: 19783, decode.loss_ce: 0.2470, decode.acc_seg: 90.0427, loss: 0.2470 +2023-03-04 10:53:19,305 - mmseg - INFO - Iter [4550/80000] lr: 1.500e-04, eta: 3:39:25, time: 0.173, data_time: 0.008, memory: 19783, decode.loss_ce: 0.2394, decode.acc_seg: 90.4684, loss: 0.2394 +2023-03-04 10:53:27,574 - mmseg - INFO - Iter [4600/80000] lr: 1.500e-04, eta: 3:39:09, time: 0.165, data_time: 0.007, memory: 19783, decode.loss_ce: 0.2467, decode.acc_seg: 90.0508, loss: 0.2467 +2023-03-04 10:53:36,263 - mmseg - INFO - Iter [4650/80000] lr: 1.500e-04, eta: 3:39:00, time: 0.174, data_time: 0.007, memory: 19783, decode.loss_ce: 0.2489, decode.acc_seg: 89.9800, loss: 0.2489 +2023-03-04 10:53:45,026 - mmseg - INFO - Iter [4700/80000] lr: 1.500e-04, eta: 3:38:52, time: 0.175, data_time: 0.007, memory: 19783, decode.loss_ce: 0.2507, decode.acc_seg: 90.1082, loss: 0.2507 +2023-03-04 10:53:53,478 - mmseg - INFO - Iter [4750/80000] lr: 1.500e-04, eta: 3:38:39, time: 0.169, data_time: 0.007, memory: 19783, decode.loss_ce: 0.2308, decode.acc_seg: 90.6857, loss: 0.2308 +2023-03-04 10:54:01,946 - mmseg - INFO - Iter [4800/80000] lr: 1.500e-04, eta: 3:38:26, time: 0.169, data_time: 0.008, memory: 19783, decode.loss_ce: 0.2416, decode.acc_seg: 90.2168, loss: 0.2416 +2023-03-04 10:54:10,558 - mmseg - INFO - Iter [4850/80000] lr: 1.500e-04, eta: 3:38:16, time: 0.172, data_time: 0.007, memory: 19783, decode.loss_ce: 0.2412, decode.acc_seg: 90.2115, loss: 0.2412 +2023-03-04 10:54:18,994 - mmseg - INFO - Iter [4900/80000] lr: 1.500e-04, eta: 3:38:03, time: 0.169, data_time: 0.008, memory: 19783, decode.loss_ce: 0.2487, decode.acc_seg: 90.0607, loss: 0.2487 +2023-03-04 10:54:27,104 - mmseg - INFO - Iter [4950/80000] lr: 1.500e-04, eta: 3:37:45, time: 0.162, data_time: 0.007, memory: 19783, decode.loss_ce: 0.2416, decode.acc_seg: 90.2829, loss: 0.2416 +2023-03-04 10:54:35,970 - mmseg - INFO - Exp name: ablation_segformer_mit_b2_segformer_head_unet_fc_single_step_ade_pretrained_freeze_embed_80k_ade20k151_mask.py +2023-03-04 10:54:35,970 - mmseg - INFO - Iter [5000/80000] lr: 1.500e-04, eta: 3:37:39, time: 0.177, data_time: 0.007, memory: 19783, decode.loss_ce: 0.2389, decode.acc_seg: 90.3370, loss: 0.2389 +2023-03-04 10:54:46,640 - mmseg - INFO - Iter [5050/80000] lr: 1.500e-04, eta: 3:37:59, time: 0.213, data_time: 0.054, memory: 19783, decode.loss_ce: 0.2344, decode.acc_seg: 90.6600, loss: 0.2344 +2023-03-04 10:54:55,399 - mmseg - INFO - Iter [5100/80000] lr: 1.500e-04, eta: 3:37:51, time: 0.175, data_time: 0.007, memory: 19783, decode.loss_ce: 0.2438, decode.acc_seg: 90.1963, loss: 0.2438 +2023-03-04 10:55:03,895 - mmseg - INFO - Iter [5150/80000] lr: 1.500e-04, eta: 3:37:39, time: 0.170, data_time: 0.008, memory: 19783, decode.loss_ce: 0.2458, decode.acc_seg: 90.2370, loss: 0.2458 +2023-03-04 10:55:12,027 - mmseg - INFO - Iter [5200/80000] lr: 1.500e-04, eta: 3:37:22, time: 0.163, data_time: 0.007, memory: 19783, decode.loss_ce: 0.2333, decode.acc_seg: 90.5189, loss: 0.2333 +2023-03-04 10:55:20,421 - mmseg - INFO - Iter [5250/80000] lr: 1.500e-04, eta: 3:37:08, time: 0.168, data_time: 0.007, memory: 19783, decode.loss_ce: 0.2447, decode.acc_seg: 90.2732, loss: 0.2447 +2023-03-04 10:55:28,792 - mmseg - INFO - Iter [5300/80000] lr: 1.500e-04, eta: 3:36:55, time: 0.167, data_time: 0.008, memory: 19783, decode.loss_ce: 0.2411, decode.acc_seg: 90.3910, loss: 0.2411 +2023-03-04 10:55:36,858 - mmseg - INFO - Iter [5350/80000] lr: 1.500e-04, eta: 3:36:37, time: 0.161, data_time: 0.007, memory: 19783, decode.loss_ce: 0.2367, decode.acc_seg: 90.3233, loss: 0.2367 +2023-03-04 10:55:45,097 - mmseg - INFO - Iter [5400/80000] lr: 1.500e-04, eta: 3:36:22, time: 0.165, data_time: 0.007, memory: 19783, decode.loss_ce: 0.2368, decode.acc_seg: 90.4841, loss: 0.2368 +2023-03-04 10:55:53,220 - mmseg - INFO - Iter [5450/80000] lr: 1.500e-04, eta: 3:36:05, time: 0.162, data_time: 0.008, memory: 19783, decode.loss_ce: 0.2439, decode.acc_seg: 90.0750, loss: 0.2439 +2023-03-04 10:56:01,928 - mmseg - INFO - Iter [5500/80000] lr: 1.500e-04, eta: 3:35:57, time: 0.174, data_time: 0.007, memory: 19783, decode.loss_ce: 0.2508, decode.acc_seg: 89.9955, loss: 0.2508 +2023-03-04 10:56:10,453 - mmseg - INFO - Iter [5550/80000] lr: 1.500e-04, eta: 3:35:46, time: 0.170, data_time: 0.007, memory: 19783, decode.loss_ce: 0.2418, decode.acc_seg: 90.2273, loss: 0.2418 +2023-03-04 10:56:19,434 - mmseg - INFO - Iter [5600/80000] lr: 1.500e-04, eta: 3:35:41, time: 0.180, data_time: 0.007, memory: 19783, decode.loss_ce: 0.2364, decode.acc_seg: 90.3205, loss: 0.2364 +2023-03-04 10:56:28,085 - mmseg - INFO - Iter [5650/80000] lr: 1.500e-04, eta: 3:35:32, time: 0.173, data_time: 0.008, memory: 19783, decode.loss_ce: 0.2238, decode.acc_seg: 90.8957, loss: 0.2238 +2023-03-04 10:56:38,921 - mmseg - INFO - Iter [5700/80000] lr: 1.500e-04, eta: 3:35:51, time: 0.217, data_time: 0.054, memory: 19783, decode.loss_ce: 0.2381, decode.acc_seg: 90.3593, loss: 0.2381 +2023-03-04 10:56:47,238 - mmseg - INFO - Iter [5750/80000] lr: 1.500e-04, eta: 3:35:37, time: 0.166, data_time: 0.007, memory: 19783, decode.loss_ce: 0.2358, decode.acc_seg: 90.4793, loss: 0.2358 +2023-03-04 10:56:55,664 - mmseg - INFO - Iter [5800/80000] lr: 1.500e-04, eta: 3:35:24, time: 0.168, data_time: 0.007, memory: 19783, decode.loss_ce: 0.2520, decode.acc_seg: 89.8180, loss: 0.2520 +2023-03-04 10:57:04,406 - mmseg - INFO - Iter [5850/80000] lr: 1.500e-04, eta: 3:35:16, time: 0.175, data_time: 0.007, memory: 19783, decode.loss_ce: 0.2357, decode.acc_seg: 90.3680, loss: 0.2357 +2023-03-04 10:57:12,918 - mmseg - INFO - Iter [5900/80000] lr: 1.500e-04, eta: 3:35:05, time: 0.170, data_time: 0.007, memory: 19783, decode.loss_ce: 0.2416, decode.acc_seg: 90.2775, loss: 0.2416 +2023-03-04 10:57:21,507 - mmseg - INFO - Iter [5950/80000] lr: 1.500e-04, eta: 3:34:55, time: 0.172, data_time: 0.007, memory: 19783, decode.loss_ce: 0.2356, decode.acc_seg: 90.4321, loss: 0.2356 +2023-03-04 10:57:30,278 - mmseg - INFO - Exp name: ablation_segformer_mit_b2_segformer_head_unet_fc_single_step_ade_pretrained_freeze_embed_80k_ade20k151_mask.py +2023-03-04 10:57:30,278 - mmseg - INFO - Iter [6000/80000] lr: 1.500e-04, eta: 3:34:47, time: 0.176, data_time: 0.007, memory: 19783, decode.loss_ce: 0.2205, decode.acc_seg: 91.0505, loss: 0.2205 +2023-03-04 10:57:38,952 - mmseg - INFO - Iter [6050/80000] lr: 1.500e-04, eta: 3:34:38, time: 0.173, data_time: 0.007, memory: 19783, decode.loss_ce: 0.2322, decode.acc_seg: 90.5761, loss: 0.2322 +2023-03-04 10:57:47,239 - mmseg - INFO - Iter [6100/80000] lr: 1.500e-04, eta: 3:34:24, time: 0.166, data_time: 0.007, memory: 19783, decode.loss_ce: 0.2406, decode.acc_seg: 90.3130, loss: 0.2406 +2023-03-04 10:57:55,668 - mmseg - INFO - Iter [6150/80000] lr: 1.500e-04, eta: 3:34:12, time: 0.169, data_time: 0.008, memory: 19783, decode.loss_ce: 0.2398, decode.acc_seg: 90.3884, loss: 0.2398 +2023-03-04 10:58:03,880 - mmseg - INFO - Iter [6200/80000] lr: 1.500e-04, eta: 3:33:57, time: 0.164, data_time: 0.007, memory: 19783, decode.loss_ce: 0.2341, decode.acc_seg: 90.4439, loss: 0.2341 +2023-03-04 10:58:12,420 - mmseg - INFO - Iter [6250/80000] lr: 1.500e-04, eta: 3:33:47, time: 0.171, data_time: 0.007, memory: 19783, decode.loss_ce: 0.2457, decode.acc_seg: 90.2746, loss: 0.2457 +2023-03-04 10:58:21,028 - mmseg - INFO - Iter [6300/80000] lr: 1.500e-04, eta: 3:33:37, time: 0.172, data_time: 0.007, memory: 19783, decode.loss_ce: 0.2241, decode.acc_seg: 90.7329, loss: 0.2241 +2023-03-04 10:58:31,978 - mmseg - INFO - Iter [6350/80000] lr: 1.500e-04, eta: 3:33:54, time: 0.219, data_time: 0.057, memory: 19783, decode.loss_ce: 0.2358, decode.acc_seg: 90.3823, loss: 0.2358 +2023-03-04 10:58:40,519 - mmseg - INFO - Iter [6400/80000] lr: 1.500e-04, eta: 3:33:44, time: 0.171, data_time: 0.007, memory: 19783, decode.loss_ce: 0.2235, decode.acc_seg: 90.7687, loss: 0.2235 +2023-03-04 10:58:49,251 - mmseg - INFO - Iter [6450/80000] lr: 1.500e-04, eta: 3:33:35, time: 0.174, data_time: 0.007, memory: 19783, decode.loss_ce: 0.2222, decode.acc_seg: 90.8290, loss: 0.2222 +2023-03-04 10:58:57,984 - mmseg - INFO - Iter [6500/80000] lr: 1.500e-04, eta: 3:33:27, time: 0.175, data_time: 0.007, memory: 19783, decode.loss_ce: 0.2297, decode.acc_seg: 90.7046, loss: 0.2297 +2023-03-04 10:59:06,485 - mmseg - INFO - Iter [6550/80000] lr: 1.500e-04, eta: 3:33:16, time: 0.170, data_time: 0.008, memory: 19783, decode.loss_ce: 0.2243, decode.acc_seg: 90.8331, loss: 0.2243 +2023-03-04 10:59:14,776 - mmseg - INFO - Iter [6600/80000] lr: 1.500e-04, eta: 3:33:02, time: 0.166, data_time: 0.007, memory: 19783, decode.loss_ce: 0.2422, decode.acc_seg: 90.4272, loss: 0.2422 +2023-03-04 10:59:23,531 - mmseg - INFO - Iter [6650/80000] lr: 1.500e-04, eta: 3:32:54, time: 0.175, data_time: 0.007, memory: 19783, decode.loss_ce: 0.2338, decode.acc_seg: 90.6051, loss: 0.2338 +2023-03-04 10:59:31,830 - mmseg - INFO - Iter [6700/80000] lr: 1.500e-04, eta: 3:32:41, time: 0.166, data_time: 0.007, memory: 19783, decode.loss_ce: 0.2431, decode.acc_seg: 90.1269, loss: 0.2431 +2023-03-04 10:59:39,996 - mmseg - INFO - Iter [6750/80000] lr: 1.500e-04, eta: 3:32:26, time: 0.163, data_time: 0.007, memory: 19783, decode.loss_ce: 0.2382, decode.acc_seg: 90.3808, loss: 0.2382 +2023-03-04 10:59:48,478 - mmseg - INFO - Iter [6800/80000] lr: 1.500e-04, eta: 3:32:15, time: 0.170, data_time: 0.007, memory: 19783, decode.loss_ce: 0.2379, decode.acc_seg: 90.4926, loss: 0.2379 +2023-03-04 10:59:56,938 - mmseg - INFO - Iter [6850/80000] lr: 1.500e-04, eta: 3:32:04, time: 0.169, data_time: 0.007, memory: 19783, decode.loss_ce: 0.2449, decode.acc_seg: 90.1923, loss: 0.2449 +2023-03-04 11:00:05,210 - mmseg - INFO - Iter [6900/80000] lr: 1.500e-04, eta: 3:31:51, time: 0.165, data_time: 0.007, memory: 19783, decode.loss_ce: 0.2359, decode.acc_seg: 90.4707, loss: 0.2359 +2023-03-04 11:00:16,221 - mmseg - INFO - Iter [6950/80000] lr: 1.500e-04, eta: 3:32:07, time: 0.220, data_time: 0.055, memory: 19783, decode.loss_ce: 0.2249, decode.acc_seg: 90.7482, loss: 0.2249 +2023-03-04 11:00:24,686 - mmseg - INFO - Exp name: ablation_segformer_mit_b2_segformer_head_unet_fc_single_step_ade_pretrained_freeze_embed_80k_ade20k151_mask.py +2023-03-04 11:00:24,686 - mmseg - INFO - Iter [7000/80000] lr: 1.500e-04, eta: 3:31:55, time: 0.169, data_time: 0.007, memory: 19783, decode.loss_ce: 0.2287, decode.acc_seg: 90.8435, loss: 0.2287 +2023-03-04 11:00:33,149 - mmseg - INFO - Iter [7050/80000] lr: 1.500e-04, eta: 3:31:44, time: 0.169, data_time: 0.007, memory: 19783, decode.loss_ce: 0.2345, decode.acc_seg: 90.5396, loss: 0.2345 +2023-03-04 11:00:41,856 - mmseg - INFO - Iter [7100/80000] lr: 1.500e-04, eta: 3:31:35, time: 0.174, data_time: 0.007, memory: 19783, decode.loss_ce: 0.2287, decode.acc_seg: 90.7287, loss: 0.2287 +2023-03-04 11:00:50,279 - mmseg - INFO - Iter [7150/80000] lr: 1.500e-04, eta: 3:31:24, time: 0.168, data_time: 0.008, memory: 19783, decode.loss_ce: 0.2317, decode.acc_seg: 90.6485, loss: 0.2317 +2023-03-04 11:00:58,900 - mmseg - INFO - Iter [7200/80000] lr: 1.500e-04, eta: 3:31:14, time: 0.172, data_time: 0.008, memory: 19783, decode.loss_ce: 0.2383, decode.acc_seg: 90.2918, loss: 0.2383 +2023-03-04 11:01:07,099 - mmseg - INFO - Iter [7250/80000] lr: 1.500e-04, eta: 3:31:00, time: 0.164, data_time: 0.007, memory: 19783, decode.loss_ce: 0.2313, decode.acc_seg: 90.6792, loss: 0.2313 +2023-03-04 11:01:15,856 - mmseg - INFO - Iter [7300/80000] lr: 1.500e-04, eta: 3:30:52, time: 0.175, data_time: 0.007, memory: 19783, decode.loss_ce: 0.2304, decode.acc_seg: 90.6756, loss: 0.2304 +2023-03-04 11:01:24,596 - mmseg - INFO - Iter [7350/80000] lr: 1.500e-04, eta: 3:30:44, time: 0.175, data_time: 0.008, memory: 19783, decode.loss_ce: 0.2310, decode.acc_seg: 90.4861, loss: 0.2310 +2023-03-04 11:01:32,903 - mmseg - INFO - Iter [7400/80000] lr: 1.500e-04, eta: 3:30:31, time: 0.166, data_time: 0.007, memory: 19783, decode.loss_ce: 0.2365, decode.acc_seg: 90.4146, loss: 0.2365 +2023-03-04 11:01:41,248 - mmseg - INFO - Iter [7450/80000] lr: 1.500e-04, eta: 3:30:19, time: 0.167, data_time: 0.007, memory: 19783, decode.loss_ce: 0.2339, decode.acc_seg: 90.5637, loss: 0.2339 +2023-03-04 11:01:49,569 - mmseg - INFO - Iter [7500/80000] lr: 1.500e-04, eta: 3:30:07, time: 0.166, data_time: 0.007, memory: 19783, decode.loss_ce: 0.2283, decode.acc_seg: 90.6626, loss: 0.2283 +2023-03-04 11:01:57,844 - mmseg - INFO - Iter [7550/80000] lr: 1.500e-04, eta: 3:29:54, time: 0.165, data_time: 0.007, memory: 19783, decode.loss_ce: 0.2372, decode.acc_seg: 90.3080, loss: 0.2372 +2023-03-04 11:02:08,896 - mmseg - INFO - Iter [7600/80000] lr: 1.500e-04, eta: 3:30:08, time: 0.221, data_time: 0.056, memory: 19783, decode.loss_ce: 0.2315, decode.acc_seg: 90.5686, loss: 0.2315 +2023-03-04 11:02:17,516 - mmseg - INFO - Iter [7650/80000] lr: 1.500e-04, eta: 3:29:58, time: 0.172, data_time: 0.007, memory: 19783, decode.loss_ce: 0.2374, decode.acc_seg: 90.4020, loss: 0.2374 +2023-03-04 11:02:25,862 - mmseg - INFO - Iter [7700/80000] lr: 1.500e-04, eta: 3:29:46, time: 0.167, data_time: 0.007, memory: 19783, decode.loss_ce: 0.2377, decode.acc_seg: 90.3854, loss: 0.2377 +2023-03-04 11:02:34,310 - mmseg - INFO - Iter [7750/80000] lr: 1.500e-04, eta: 3:29:35, time: 0.169, data_time: 0.007, memory: 19783, decode.loss_ce: 0.2310, decode.acc_seg: 90.6413, loss: 0.2310 +2023-03-04 11:02:42,405 - mmseg - INFO - Iter [7800/80000] lr: 1.500e-04, eta: 3:29:21, time: 0.162, data_time: 0.007, memory: 19783, decode.loss_ce: 0.2344, decode.acc_seg: 90.4540, loss: 0.2344 +2023-03-04 11:02:50,839 - mmseg - INFO - Iter [7850/80000] lr: 1.500e-04, eta: 3:29:10, time: 0.169, data_time: 0.007, memory: 19783, decode.loss_ce: 0.2354, decode.acc_seg: 90.5682, loss: 0.2354 +2023-03-04 11:02:59,300 - mmseg - INFO - Iter [7900/80000] lr: 1.500e-04, eta: 3:28:59, time: 0.169, data_time: 0.007, memory: 19783, decode.loss_ce: 0.2317, decode.acc_seg: 90.6238, loss: 0.2317 +2023-03-04 11:03:07,614 - mmseg - INFO - Iter [7950/80000] lr: 1.500e-04, eta: 3:28:47, time: 0.166, data_time: 0.007, memory: 19783, decode.loss_ce: 0.2295, decode.acc_seg: 90.7864, loss: 0.2295 +2023-03-04 11:03:16,412 - mmseg - INFO - Saving checkpoint at 8000 iterations +2023-03-04 11:03:17,008 - mmseg - INFO - Exp name: ablation_segformer_mit_b2_segformer_head_unet_fc_single_step_ade_pretrained_freeze_embed_80k_ade20k151_mask.py +2023-03-04 11:03:17,008 - mmseg - INFO - Iter [8000/80000] lr: 1.500e-04, eta: 3:28:44, time: 0.188, data_time: 0.007, memory: 19783, decode.loss_ce: 0.2282, decode.acc_seg: 90.7558, loss: 0.2282 diff --git a/ablation/ablation_segformer_mit_b2_segformer_head_unet_fc_single_step_ade_pretrained_freeze_embed_80k_ade20k151_mask/20230304_103934.log.json b/ablation/ablation_segformer_mit_b2_segformer_head_unet_fc_single_step_ade_pretrained_freeze_embed_80k_ade20k151_mask/20230304_103934.log.json new file mode 100644 index 0000000000000000000000000000000000000000..d23040fa1e5e7ca7f439ed494a421c6cd2433e01 --- /dev/null +++ b/ablation/ablation_segformer_mit_b2_segformer_head_unet_fc_single_step_ade_pretrained_freeze_embed_80k_ade20k151_mask/20230304_103934.log.json @@ -0,0 +1,161 @@ +{"env_info": "sys.platform: linux\nPython: 3.7.16 (default, Jan 17 2023, 22:20:44) [GCC 11.2.0]\nCUDA available: True\nGPU 0,1,2,3,4,5,6,7: NVIDIA A100-SXM4-80GB\nCUDA_HOME: /mnt/petrelfs/laizeqiang/miniconda3/envs/torch\nNVCC: Cuda compilation tools, release 11.6, V11.6.124\nGCC: gcc (GCC) 4.8.5 20150623 (Red Hat 4.8.5-44)\nPyTorch: 1.13.1\nPyTorch compiling details: PyTorch built with:\n - GCC 9.3\n - C++ Version: 201402\n - Intel(R) oneAPI Math Kernel Library Version 2021.4-Product Build 20210904 for Intel(R) 64 architecture applications\n - Intel(R) MKL-DNN v2.6.0 (Git Hash 52b5f107dd9cf10910aaa19cb47f3abf9b349815)\n - OpenMP 201511 (a.k.a. OpenMP 4.5)\n - LAPACK is enabled (usually provided by MKL)\n - NNPACK is enabled\n - CPU capability usage: AVX2\n - CUDA Runtime 11.6\n - NVCC architecture flags: -gencode;arch=compute_37,code=sm_37;-gencode;arch=compute_50,code=sm_50;-gencode;arch=compute_60,code=sm_60;-gencode;arch=compute_61,code=sm_61;-gencode;arch=compute_70,code=sm_70;-gencode;arch=compute_75,code=sm_75;-gencode;arch=compute_80,code=sm_80;-gencode;arch=compute_86,code=sm_86;-gencode;arch=compute_37,code=compute_37\n - CuDNN 8.3.2 (built against CUDA 11.5)\n - Magma 2.6.1\n - Build settings: BLAS_INFO=mkl, BUILD_TYPE=Release, CUDA_VERSION=11.6, CUDNN_VERSION=8.3.2, CXX_COMPILER=/opt/rh/devtoolset-9/root/usr/bin/c++, CXX_FLAGS= -fabi-version=11 -Wno-deprecated -fvisibility-inlines-hidden -DUSE_PTHREADPOOL -fopenmp -DNDEBUG -DUSE_KINETO -DUSE_FBGEMM -DUSE_QNNPACK -DUSE_PYTORCH_QNNPACK -DUSE_XNNPACK -DSYMBOLICATE_MOBILE_DEBUG_HANDLE -DEDGE_PROFILER_USE_KINETO -O2 -fPIC -Wno-narrowing -Wall -Wextra -Werror=return-type -Werror=non-virtual-dtor -Wno-missing-field-initializers -Wno-type-limits -Wno-array-bounds -Wno-unknown-pragmas -Wunused-local-typedefs -Wno-unused-parameter -Wno-unused-function -Wno-unused-result -Wno-strict-overflow -Wno-strict-aliasing -Wno-error=deprecated-declarations -Wno-stringop-overflow -Wno-psabi -Wno-error=pedantic -Wno-error=redundant-decls -Wno-error=old-style-cast -fdiagnostics-color=always -faligned-new -Wno-unused-but-set-variable -Wno-maybe-uninitialized -fno-math-errno -fno-trapping-math -Werror=format -Werror=cast-function-type -Wno-stringop-overflow, LAPACK_INFO=mkl, PERF_WITH_AVX=1, PERF_WITH_AVX2=1, PERF_WITH_AVX512=1, TORCH_VERSION=1.13.1, USE_CUDA=ON, USE_CUDNN=ON, USE_EXCEPTION_PTR=1, USE_GFLAGS=OFF, USE_GLOG=OFF, USE_MKL=ON, USE_MKLDNN=ON, USE_MPI=OFF, USE_NCCL=ON, USE_NNPACK=ON, USE_OPENMP=ON, USE_ROCM=OFF, \n\nTorchVision: 0.14.1\nOpenCV: 4.7.0\nMMCV: 1.7.1\nMMCV Compiler: GCC 9.3\nMMCV CUDA Compiler: 11.6\nMMSegmentation: 0.30.0+d4f0cb3", "seed": 1648012630, "exp_name": "ablation_segformer_mit_b2_segformer_head_unet_fc_single_step_ade_pretrained_freeze_embed_80k_ade20k151_mask.py", "mmseg_version": "0.30.0+d4f0cb3", "config": "norm_cfg = dict(type='SyncBN', requires_grad=True)\ncheckpoint = 'pretrained/segformer_mit-b2_512x512_160k_ade20k_20220620_114047-64e4feca.pth'\nmodel = dict(\n type='EncoderDecoderFreeze',\n freeze_parameters=['backbone', 'decode_head'],\n pretrained=\n 'pretrained/segformer_mit-b2_512x512_160k_ade20k_20220620_114047-64e4feca.pth',\n backbone=dict(\n type='MixVisionTransformerCustomInitWeights',\n in_channels=3,\n embed_dims=64,\n num_stages=4,\n num_layers=[3, 4, 6, 3],\n num_heads=[1, 2, 5, 8],\n patch_sizes=[7, 3, 3, 3],\n sr_ratios=[8, 4, 2, 1],\n out_indices=(0, 1, 2, 3),\n mlp_ratio=4,\n qkv_bias=True,\n drop_rate=0.0,\n attn_drop_rate=0.0,\n drop_path_rate=0.1,\n pretrained=\n 'pretrained/segformer_mit-b2_512x512_160k_ade20k_20220620_114047-64e4feca.pth'\n ),\n decode_head=dict(\n type='SegformerHeadUnetFCHeadSingleStepMask',\n pretrained=\n 'pretrained/segformer_mit-b2_512x512_160k_ade20k_20220620_114047-64e4feca.pth',\n dim=128,\n out_dim=256,\n unet_channels=272,\n dim_mults=[1, 1, 1],\n cat_embedding_dim=16,\n in_channels=[64, 128, 320, 512],\n in_index=[0, 1, 2, 3],\n channels=256,\n dropout_ratio=0.1,\n num_classes=151,\n norm_cfg=dict(type='SyncBN', requires_grad=True),\n align_corners=False,\n ignore_index=0,\n loss_decode=dict(\n type='CrossEntropyLoss', use_sigmoid=False, loss_weight=1.0)),\n train_cfg=dict(),\n test_cfg=dict(mode='whole'))\ndataset_type = 'ADE20K151Dataset'\ndata_root = 'data/ade/ADEChallengeData2016'\nimg_norm_cfg = dict(\n mean=[123.675, 116.28, 103.53], std=[58.395, 57.12, 57.375], to_rgb=True)\ncrop_size = (512, 512)\ntrain_pipeline = [\n dict(type='LoadImageFromFile'),\n dict(type='LoadAnnotations', reduce_zero_label=False),\n dict(type='Resize', img_scale=(2048, 512), ratio_range=(0.5, 2.0)),\n dict(type='RandomCrop', crop_size=(512, 512), cat_max_ratio=0.75),\n dict(type='RandomFlip', prob=0.5),\n dict(type='PhotoMetricDistortion'),\n dict(\n type='Normalize',\n mean=[123.675, 116.28, 103.53],\n std=[58.395, 57.12, 57.375],\n to_rgb=True),\n dict(type='Pad', size=(512, 512), pad_val=0, seg_pad_val=0),\n dict(type='DefaultFormatBundle'),\n dict(type='Collect', keys=['img', 'gt_semantic_seg'])\n]\ntest_pipeline = [\n dict(type='LoadImageFromFile'),\n dict(\n type='MultiScaleFlipAug',\n img_scale=(2048, 512),\n flip=False,\n transforms=[\n dict(type='Resize', keep_ratio=True),\n dict(type='RandomFlip'),\n dict(\n type='Normalize',\n mean=[123.675, 116.28, 103.53],\n std=[58.395, 57.12, 57.375],\n to_rgb=True),\n dict(type='Pad', size_divisor=16, pad_val=0, seg_pad_val=0),\n dict(type='ImageToTensor', keys=['img']),\n dict(type='Collect', keys=['img'])\n ])\n]\ndata = dict(\n samples_per_gpu=4,\n workers_per_gpu=4,\n train=dict(\n type='ADE20K151Dataset',\n data_root='data/ade/ADEChallengeData2016',\n img_dir='images/training',\n ann_dir='annotations/training',\n pipeline=[\n dict(type='LoadImageFromFile'),\n dict(type='LoadAnnotations', reduce_zero_label=False),\n dict(type='Resize', img_scale=(2048, 512), ratio_range=(0.5, 2.0)),\n dict(type='RandomCrop', crop_size=(512, 512), cat_max_ratio=0.75),\n dict(type='RandomFlip', prob=0.5),\n dict(type='PhotoMetricDistortion'),\n dict(\n type='Normalize',\n mean=[123.675, 116.28, 103.53],\n std=[58.395, 57.12, 57.375],\n to_rgb=True),\n dict(type='Pad', size=(512, 512), pad_val=0, seg_pad_val=0),\n dict(type='DefaultFormatBundle'),\n dict(type='Collect', keys=['img', 'gt_semantic_seg'])\n ]),\n val=dict(\n type='ADE20K151Dataset',\n data_root='data/ade/ADEChallengeData2016',\n img_dir='images/validation',\n ann_dir='annotations/validation',\n pipeline=[\n dict(type='LoadImageFromFile'),\n dict(\n type='MultiScaleFlipAug',\n img_scale=(2048, 512),\n flip=False,\n transforms=[\n dict(type='Resize', keep_ratio=True),\n dict(type='RandomFlip'),\n dict(\n type='Normalize',\n mean=[123.675, 116.28, 103.53],\n std=[58.395, 57.12, 57.375],\n to_rgb=True),\n dict(\n type='Pad', size_divisor=16, pad_val=0, seg_pad_val=0),\n dict(type='ImageToTensor', keys=['img']),\n dict(type='Collect', keys=['img'])\n ])\n ]),\n test=dict(\n type='ADE20K151Dataset',\n data_root='data/ade/ADEChallengeData2016',\n img_dir='images/validation',\n ann_dir='annotations/validation',\n pipeline=[\n dict(type='LoadImageFromFile'),\n dict(\n type='MultiScaleFlipAug',\n img_scale=(2048, 512),\n flip=False,\n transforms=[\n dict(type='Resize', keep_ratio=True),\n dict(type='RandomFlip'),\n dict(\n type='Normalize',\n mean=[123.675, 116.28, 103.53],\n std=[58.395, 57.12, 57.375],\n to_rgb=True),\n dict(\n type='Pad', size_divisor=16, pad_val=0, seg_pad_val=0),\n dict(type='ImageToTensor', keys=['img']),\n dict(type='Collect', keys=['img'])\n ])\n ]))\nlog_config = dict(\n interval=50, hooks=[dict(type='TextLoggerHook', by_epoch=False)])\ndist_params = dict(backend='nccl')\nlog_level = 'INFO'\nload_from = None\nresume_from = None\nworkflow = [('train', 1)]\ncudnn_benchmark = True\noptimizer = dict(\n type='AdamW', lr=0.00015, betas=[0.9, 0.96], weight_decay=0.045)\noptimizer_config = dict()\nlr_config = dict(\n policy='step',\n warmup='linear',\n warmup_iters=1000,\n warmup_ratio=1e-06,\n step=10000,\n gamma=0.5,\n min_lr=1e-06,\n by_epoch=False)\nrunner = dict(type='IterBasedRunner', max_iters=80000)\ncheckpoint_config = dict(by_epoch=False, interval=8000)\nevaluation = dict(\n interval=8000, metric='mIoU', pre_eval=True, save_best='mIoU')\nwork_dir = './work_dirs2/ablation_segformer_mit_b2_segformer_head_unet_fc_single_step_ade_pretrained_freeze_embed_80k_ade20k151_mask'\ngpu_ids = range(0, 8)\nauto_resume = True\ndevice = 'cuda'\nseed = 1648012630\n", "CLASSES": ["background", "wall", "building", "sky", "floor", "tree", "ceiling", "road", "bed ", "windowpane", "grass", "cabinet", "sidewalk", "person", "earth", "door", "table", "mountain", "plant", "curtain", "chair", "car", "water", "painting", "sofa", "shelf", "house", "sea", "mirror", "rug", "field", "armchair", "seat", "fence", "desk", "rock", "wardrobe", "lamp", "bathtub", "railing", "cushion", "base", "box", "column", "signboard", "chest of drawers", "counter", "sand", "sink", "skyscraper", "fireplace", "refrigerator", "grandstand", "path", "stairs", "runway", "case", "pool table", "pillow", "screen door", "stairway", "river", "bridge", "bookcase", "blind", "coffee table", "toilet", "flower", "book", "hill", "bench", "countertop", "stove", "palm", "kitchen island", "computer", "swivel chair", "boat", "bar", "arcade machine", "hovel", "bus", "towel", "light", "truck", "tower", "chandelier", "awning", "streetlight", "booth", "television receiver", "airplane", "dirt track", "apparel", "pole", "land", "bannister", "escalator", "ottoman", "bottle", "buffet", "poster", "stage", "van", "ship", "fountain", "conveyer belt", "canopy", "washer", "plaything", "swimming pool", "stool", "barrel", "basket", "waterfall", "tent", "bag", "minibike", "cradle", "oven", "ball", "food", "step", "tank", "trade name", "microwave", "pot", "animal", "bicycle", "lake", "dishwasher", "screen", "blanket", "sculpture", "hood", "sconce", "vase", "traffic light", "tray", "ashcan", "fan", "pier", "crt screen", "plate", "monitor", "bulletin board", "shower", "radiator", "glass", "clock", "flag"], "PALETTE": [[0, 0, 0], [120, 120, 120], [180, 120, 120], [6, 230, 230], [80, 50, 50], [4, 200, 3], [120, 120, 80], [140, 140, 140], [204, 5, 255], [230, 230, 230], [4, 250, 7], [224, 5, 255], [235, 255, 7], [150, 5, 61], [120, 120, 70], [8, 255, 51], [255, 6, 82], [143, 255, 140], [204, 255, 4], [255, 51, 7], [204, 70, 3], [0, 102, 200], [61, 230, 250], [255, 6, 51], [11, 102, 255], [255, 7, 71], [255, 9, 224], [9, 7, 230], [220, 220, 220], [255, 9, 92], [112, 9, 255], [8, 255, 214], [7, 255, 224], [255, 184, 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19783, "data_time": 0.00718, "decode.loss_ce": 0.23822, "decode.acc_seg": 90.38081, "loss": 0.23822, "time": 0.16329} +{"mode": "train", "epoch": 11, "iter": 6800, "lr": 0.00015, "memory": 19783, "data_time": 0.00724, "decode.loss_ce": 0.2379, "decode.acc_seg": 90.49255, "loss": 0.2379, "time": 0.16966} +{"mode": "train", "epoch": 11, "iter": 6850, "lr": 0.00015, "memory": 19783, "data_time": 0.00708, "decode.loss_ce": 0.24489, "decode.acc_seg": 90.19225, "loss": 0.24489, "time": 0.16918} +{"mode": "train", "epoch": 11, "iter": 6900, "lr": 0.00015, "memory": 19783, "data_time": 0.00737, "decode.loss_ce": 0.23591, "decode.acc_seg": 90.47066, "loss": 0.23591, "time": 0.16545} +{"mode": "train", "epoch": 12, "iter": 6950, "lr": 0.00015, "memory": 19783, "data_time": 0.05516, "decode.loss_ce": 0.22491, "decode.acc_seg": 90.74824, "loss": 0.22491, "time": 0.22021} +{"mode": "train", "epoch": 12, "iter": 7000, "lr": 0.00015, "memory": 19783, "data_time": 0.00698, "decode.loss_ce": 0.22866, "decode.acc_seg": 90.84347, "loss": 0.22866, "time": 0.16929} +{"mode": "train", "epoch": 12, "iter": 7050, "lr": 0.00015, "memory": 19783, "data_time": 0.00713, "decode.loss_ce": 0.23445, "decode.acc_seg": 90.53955, "loss": 0.23445, "time": 0.16909} +{"mode": "train", "epoch": 12, "iter": 7100, "lr": 0.00015, "memory": 19783, "data_time": 0.00688, "decode.loss_ce": 0.22867, "decode.acc_seg": 90.72875, "loss": 0.22867, "time": 0.17427} +{"mode": "train", "epoch": 12, "iter": 7150, "lr": 0.00015, "memory": 19783, "data_time": 0.00774, "decode.loss_ce": 0.23175, "decode.acc_seg": 90.64853, "loss": 0.23175, "time": 0.16845} +{"mode": "train", "epoch": 12, "iter": 7200, "lr": 0.00015, "memory": 19783, "data_time": 0.00753, "decode.loss_ce": 0.23831, "decode.acc_seg": 90.29184, "loss": 0.23831, "time": 0.17243} +{"mode": "train", "epoch": 12, "iter": 7250, "lr": 0.00015, "memory": 19783, "data_time": 0.00724, "decode.loss_ce": 0.23129, "decode.acc_seg": 90.67923, "loss": 0.23129, "time": 0.16382} +{"mode": "train", "epoch": 12, "iter": 7300, "lr": 0.00015, "memory": 19783, "data_time": 0.00728, "decode.loss_ce": 0.23042, "decode.acc_seg": 90.6756, "loss": 0.23042, "time": 0.17514} +{"mode": "train", "epoch": 12, "iter": 7350, "lr": 0.00015, "memory": 19783, "data_time": 0.00762, "decode.loss_ce": 0.23096, "decode.acc_seg": 90.4861, "loss": 0.23096, "time": 0.17494} +{"mode": "train", "epoch": 12, "iter": 7400, "lr": 0.00015, "memory": 19783, "data_time": 0.00722, "decode.loss_ce": 0.23648, "decode.acc_seg": 90.41459, "loss": 0.23648, "time": 0.16612} +{"mode": "train", "epoch": 12, "iter": 7450, "lr": 0.00015, "memory": 19783, "data_time": 0.00698, "decode.loss_ce": 0.23389, "decode.acc_seg": 90.56373, "loss": 0.23389, "time": 0.16687} +{"mode": "train", "epoch": 12, "iter": 7500, "lr": 0.00015, "memory": 19783, "data_time": 0.00707, "decode.loss_ce": 0.22833, "decode.acc_seg": 90.66262, "loss": 0.22833, "time": 0.16645} +{"mode": "train", "epoch": 12, "iter": 7550, "lr": 0.00015, "memory": 19783, "data_time": 0.00708, "decode.loss_ce": 0.23725, "decode.acc_seg": 90.30798, "loss": 0.23725, "time": 0.16547} +{"mode": "train", "epoch": 13, "iter": 7600, "lr": 0.00015, "memory": 19783, "data_time": 0.05558, "decode.loss_ce": 0.23152, "decode.acc_seg": 90.56859, "loss": 0.23152, "time": 0.22103} +{"mode": "train", "epoch": 13, "iter": 7650, "lr": 0.00015, "memory": 19783, "data_time": 0.00695, "decode.loss_ce": 0.23743, "decode.acc_seg": 90.40197, "loss": 0.23743, "time": 0.17243} +{"mode": "train", "epoch": 13, "iter": 7700, "lr": 0.00015, "memory": 19783, "data_time": 0.0071, "decode.loss_ce": 0.23772, "decode.acc_seg": 90.38538, "loss": 0.23772, "time": 0.16691} +{"mode": "train", "epoch": 13, "iter": 7750, "lr": 0.00015, "memory": 19783, "data_time": 0.00726, "decode.loss_ce": 0.23096, "decode.acc_seg": 90.64128, "loss": 0.23096, "time": 0.16896} +{"mode": "train", "epoch": 13, "iter": 7800, "lr": 0.00015, "memory": 19783, "data_time": 0.00713, "decode.loss_ce": 0.23442, "decode.acc_seg": 90.45397, "loss": 0.23442, "time": 0.16189} +{"mode": "train", "epoch": 13, "iter": 7850, "lr": 0.00015, "memory": 19783, "data_time": 0.007, "decode.loss_ce": 0.23541, "decode.acc_seg": 90.56818, "loss": 0.23541, "time": 0.16867} +{"mode": "train", "epoch": 13, "iter": 7900, "lr": 0.00015, "memory": 19783, "data_time": 0.00689, "decode.loss_ce": 0.23165, "decode.acc_seg": 90.62381, "loss": 0.23165, "time": 0.16922} +{"mode": "train", "epoch": 13, "iter": 7950, "lr": 0.00015, "memory": 19783, "data_time": 0.0072, "decode.loss_ce": 0.22949, "decode.acc_seg": 90.78639, "loss": 0.22949, "time": 0.16628} +{"mode": "train", "epoch": 13, "iter": 8000, "lr": 0.00015, "memory": 19783, "data_time": 0.00678, "decode.loss_ce": 0.22824, "decode.acc_seg": 90.75584, "loss": 0.22824, "time": 0.18786} diff --git a/ablation/ablation_segformer_mit_b2_segformer_head_unet_fc_single_step_ade_pretrained_freeze_embed_80k_ade20k151_mask/20230304_122534.log b/ablation/ablation_segformer_mit_b2_segformer_head_unet_fc_single_step_ade_pretrained_freeze_embed_80k_ade20k151_mask/20230304_122534.log new file mode 100644 index 0000000000000000000000000000000000000000..5b72ae2479d31334cec3707ba03fce18eb6e808c --- /dev/null +++ b/ablation/ablation_segformer_mit_b2_segformer_head_unet_fc_single_step_ade_pretrained_freeze_embed_80k_ade20k151_mask/20230304_122534.log @@ -0,0 +1,4346 @@ +2023-03-04 12:25:34,887 - mmseg - INFO - Multi-processing start method is `None` +2023-03-04 12:25:34,904 - mmseg - INFO - OpenCV num_threads is `128 +2023-03-04 12:25:34,904 - mmseg - INFO - OMP num threads is 1 +2023-03-04 12:25:34,954 - mmseg - INFO - Environment info: +------------------------------------------------------------ +sys.platform: linux +Python: 3.7.16 (default, Jan 17 2023, 22:20:44) [GCC 11.2.0] +CUDA available: True +GPU 0,1,2,3,4,5,6,7: NVIDIA A100-SXM4-80GB +CUDA_HOME: /mnt/petrelfs/laizeqiang/miniconda3/envs/torch +NVCC: Cuda compilation tools, release 11.6, V11.6.124 +GCC: gcc (GCC) 4.8.5 20150623 (Red Hat 4.8.5-44) +PyTorch: 1.13.1 +PyTorch compiling details: PyTorch built with: + - GCC 9.3 + - C++ Version: 201402 + - Intel(R) oneAPI Math Kernel Library Version 2021.4-Product Build 20210904 for Intel(R) 64 architecture applications + - Intel(R) MKL-DNN v2.6.0 (Git Hash 52b5f107dd9cf10910aaa19cb47f3abf9b349815) + - OpenMP 201511 (a.k.a. OpenMP 4.5) + - LAPACK is enabled (usually provided by MKL) + - NNPACK is enabled + - CPU capability usage: AVX2 + - CUDA Runtime 11.6 + - NVCC architecture flags: -gencode;arch=compute_37,code=sm_37;-gencode;arch=compute_50,code=sm_50;-gencode;arch=compute_60,code=sm_60;-gencode;arch=compute_61,code=sm_61;-gencode;arch=compute_70,code=sm_70;-gencode;arch=compute_75,code=sm_75;-gencode;arch=compute_80,code=sm_80;-gencode;arch=compute_86,code=sm_86;-gencode;arch=compute_37,code=compute_37 + - CuDNN 8.3.2 (built against CUDA 11.5) + - Magma 2.6.1 + - Build settings: BLAS_INFO=mkl, BUILD_TYPE=Release, CUDA_VERSION=11.6, CUDNN_VERSION=8.3.2, CXX_COMPILER=/opt/rh/devtoolset-9/root/usr/bin/c++, CXX_FLAGS= -fabi-version=11 -Wno-deprecated -fvisibility-inlines-hidden -DUSE_PTHREADPOOL -fopenmp -DNDEBUG -DUSE_KINETO -DUSE_FBGEMM -DUSE_QNNPACK -DUSE_PYTORCH_QNNPACK -DUSE_XNNPACK -DSYMBOLICATE_MOBILE_DEBUG_HANDLE -DEDGE_PROFILER_USE_KINETO -O2 -fPIC -Wno-narrowing -Wall -Wextra -Werror=return-type -Werror=non-virtual-dtor -Wno-missing-field-initializers -Wno-type-limits -Wno-array-bounds -Wno-unknown-pragmas -Wunused-local-typedefs -Wno-unused-parameter -Wno-unused-function -Wno-unused-result -Wno-strict-overflow -Wno-strict-aliasing -Wno-error=deprecated-declarations -Wno-stringop-overflow -Wno-psabi -Wno-error=pedantic -Wno-error=redundant-decls -Wno-error=old-style-cast -fdiagnostics-color=always -faligned-new -Wno-unused-but-set-variable -Wno-maybe-uninitialized -fno-math-errno -fno-trapping-math -Werror=format -Werror=cast-function-type -Wno-stringop-overflow, LAPACK_INFO=mkl, PERF_WITH_AVX=1, PERF_WITH_AVX2=1, PERF_WITH_AVX512=1, TORCH_VERSION=1.13.1, USE_CUDA=ON, USE_CUDNN=ON, USE_EXCEPTION_PTR=1, USE_GFLAGS=OFF, USE_GLOG=OFF, USE_MKL=ON, USE_MKLDNN=ON, USE_MPI=OFF, USE_NCCL=ON, USE_NNPACK=ON, USE_OPENMP=ON, USE_ROCM=OFF, + +TorchVision: 0.14.1 +OpenCV: 4.7.0 +MMCV: 1.7.1 +MMCV Compiler: GCC 9.3 +MMCV CUDA Compiler: 11.6 +MMSegmentation: 0.30.0+d4f0cb3 +------------------------------------------------------------ + +2023-03-04 12:25:34,954 - mmseg - INFO - Distributed training: True +2023-03-04 12:25:35,667 - mmseg - INFO - Config: +norm_cfg = dict(type='SyncBN', requires_grad=True) +checkpoint = 'pretrained/segformer_mit-b2_512x512_160k_ade20k_20220620_114047-64e4feca.pth' +model = dict( + type='EncoderDecoderFreeze', + freeze_parameters=['backbone', 'decode_head'], + pretrained= + 'pretrained/segformer_mit-b2_512x512_160k_ade20k_20220620_114047-64e4feca.pth', + backbone=dict( + type='MixVisionTransformerCustomInitWeights', + in_channels=3, + embed_dims=64, + num_stages=4, + num_layers=[3, 4, 6, 3], + num_heads=[1, 2, 5, 8], + patch_sizes=[7, 3, 3, 3], + sr_ratios=[8, 4, 2, 1], + out_indices=(0, 1, 2, 3), + mlp_ratio=4, + qkv_bias=True, + drop_rate=0.0, + attn_drop_rate=0.0, + drop_path_rate=0.1), + decode_head=dict( + type='SegformerHeadUnetFCHeadSingleStepMask', + pretrained= + 'pretrained/segformer_mit-b2_512x512_160k_ade20k_20220620_114047-64e4feca.pth', + dim=128, + out_dim=256, + unet_channels=272, + dim_mults=[1, 1, 1], + cat_embedding_dim=16, + in_channels=[64, 128, 320, 512], + in_index=[0, 1, 2, 3], + channels=256, + dropout_ratio=0.1, + num_classes=151, + norm_cfg=dict(type='SyncBN', requires_grad=True), + align_corners=False, + ignore_index=0, + loss_decode=dict( + type='CrossEntropyLoss', use_sigmoid=False, loss_weight=1.0)), + train_cfg=dict(), + test_cfg=dict(mode='whole')) +dataset_type = 'ADE20K151Dataset' +data_root = 'data/ade/ADEChallengeData2016' +img_norm_cfg = dict( + mean=[123.675, 116.28, 103.53], std=[58.395, 57.12, 57.375], to_rgb=True) +crop_size = (512, 512) +train_pipeline = [ + dict(type='LoadImageFromFile'), + dict(type='LoadAnnotations', reduce_zero_label=False), + dict(type='Resize', img_scale=(2048, 512), ratio_range=(0.5, 2.0)), + dict(type='RandomCrop', crop_size=(512, 512), cat_max_ratio=0.75), + dict(type='RandomFlip', prob=0.5), + dict(type='PhotoMetricDistortion'), + dict( + type='Normalize', + mean=[123.675, 116.28, 103.53], + std=[58.395, 57.12, 57.375], + to_rgb=True), + dict(type='Pad', size=(512, 512), pad_val=0, seg_pad_val=0), + dict(type='DefaultFormatBundle'), + dict(type='Collect', keys=['img', 'gt_semantic_seg']) +] +test_pipeline = [ + dict(type='LoadImageFromFile'), + dict( + type='MultiScaleFlipAug', + img_scale=(2048, 512), + flip=False, + transforms=[ + dict(type='Resize', keep_ratio=True), + dict(type='RandomFlip'), + dict( + type='Normalize', + mean=[123.675, 116.28, 103.53], + std=[58.395, 57.12, 57.375], + to_rgb=True), + dict(type='Pad', size_divisor=16, pad_val=0, seg_pad_val=0), + dict(type='ImageToTensor', keys=['img']), + dict(type='Collect', keys=['img']) + ]) +] +data = dict( + samples_per_gpu=4, + workers_per_gpu=4, + train=dict( + type='ADE20K151Dataset', + data_root='data/ade/ADEChallengeData2016', + img_dir='images/training', + ann_dir='annotations/training', + pipeline=[ + dict(type='LoadImageFromFile'), + dict(type='LoadAnnotations', reduce_zero_label=False), + dict(type='Resize', img_scale=(2048, 512), ratio_range=(0.5, 2.0)), + dict(type='RandomCrop', crop_size=(512, 512), cat_max_ratio=0.75), + dict(type='RandomFlip', prob=0.5), + dict(type='PhotoMetricDistortion'), + dict( + type='Normalize', + mean=[123.675, 116.28, 103.53], + std=[58.395, 57.12, 57.375], + to_rgb=True), + dict(type='Pad', size=(512, 512), pad_val=0, seg_pad_val=0), + dict(type='DefaultFormatBundle'), + dict(type='Collect', keys=['img', 'gt_semantic_seg']) + ]), + val=dict( + type='ADE20K151Dataset', + data_root='data/ade/ADEChallengeData2016', + img_dir='images/validation', + ann_dir='annotations/validation', + pipeline=[ + dict(type='LoadImageFromFile'), + dict( + type='MultiScaleFlipAug', + img_scale=(2048, 512), + flip=False, + transforms=[ + dict(type='Resize', keep_ratio=True), + dict(type='RandomFlip'), + dict( + type='Normalize', + mean=[123.675, 116.28, 103.53], + std=[58.395, 57.12, 57.375], + to_rgb=True), + dict( + type='Pad', size_divisor=16, pad_val=0, seg_pad_val=0), + dict(type='ImageToTensor', keys=['img']), + dict(type='Collect', keys=['img']) + ]) + ]), + test=dict( + type='ADE20K151Dataset', + data_root='data/ade/ADEChallengeData2016', + img_dir='images/validation', + ann_dir='annotations/validation', + pipeline=[ + dict(type='LoadImageFromFile'), + dict( + type='MultiScaleFlipAug', + img_scale=(2048, 512), + flip=False, + transforms=[ + dict(type='Resize', keep_ratio=True), + dict(type='RandomFlip'), + dict( + type='Normalize', + mean=[123.675, 116.28, 103.53], + std=[58.395, 57.12, 57.375], + to_rgb=True), + dict( + type='Pad', size_divisor=16, pad_val=0, seg_pad_val=0), + dict(type='ImageToTensor', keys=['img']), + dict(type='Collect', keys=['img']) + ]) + ])) +log_config = dict( + interval=50, hooks=[dict(type='TextLoggerHook', by_epoch=False)]) +dist_params = dict(backend='nccl') +log_level = 'INFO' +load_from = None +resume_from = None +workflow = [('train', 1)] +cudnn_benchmark = True +optimizer = dict( + type='AdamW', lr=0.00015, betas=[0.9, 0.96], weight_decay=0.045) +optimizer_config = dict() +lr_config = dict( + policy='step', + warmup='linear', + warmup_iters=1000, + warmup_ratio=1e-06, + step=10000, + gamma=0.5, + min_lr=1e-06, + by_epoch=False) +runner = dict(type='IterBasedRunner', max_iters=80000) +checkpoint_config = dict(by_epoch=False, interval=8000) +evaluation = dict( + interval=8000, metric='mIoU', pre_eval=True, save_best='mIoU') +work_dir = './work_dirs2/ablation_segformer_mit_b2_segformer_head_unet_fc_single_step_ade_pretrained_freeze_embed_80k_ade20k151_mask' +gpu_ids = range(0, 8) +auto_resume = True + +2023-03-04 12:25:39,991 - mmseg - INFO - Set random seed to 385564379, deterministic: False +2023-03-04 12:25:40,245 - mmseg - INFO - Parameters in backbone freezed! +2023-03-04 12:25:40,246 - mmseg - INFO - Trainable parameters in SegformerHeadUnetFCHeadSingleStep: ['unet.init_conv.weight', 'unet.init_conv.bias', 'unet.time_mlp.1.weight', 'unet.time_mlp.1.bias', 'unet.time_mlp.3.weight', 'unet.time_mlp.3.bias', 'unet.downs.0.0.mlp.1.weight', 'unet.downs.0.0.mlp.1.bias', 'unet.downs.0.0.block1.proj.weight', 'unet.downs.0.0.block1.proj.bias', 'unet.downs.0.0.block1.norm.weight', 'unet.downs.0.0.block1.norm.bias', 'unet.downs.0.0.block2.proj.weight', 'unet.downs.0.0.block2.proj.bias', 'unet.downs.0.0.block2.norm.weight', 'unet.downs.0.0.block2.norm.bias', 'unet.downs.0.1.mlp.1.weight', 'unet.downs.0.1.mlp.1.bias', 'unet.downs.0.1.block1.proj.weight', 'unet.downs.0.1.block1.proj.bias', 'unet.downs.0.1.block1.norm.weight', 'unet.downs.0.1.block1.norm.bias', 'unet.downs.0.1.block2.proj.weight', 'unet.downs.0.1.block2.proj.bias', 'unet.downs.0.1.block2.norm.weight', 'unet.downs.0.1.block2.norm.bias', 'unet.downs.0.2.fn.fn.to_qkv.weight', 'unet.downs.0.2.fn.fn.to_out.0.weight', 'unet.downs.0.2.fn.fn.to_out.0.bias', 'unet.downs.0.2.fn.fn.to_out.1.g', 'unet.downs.0.2.fn.norm.g', 'unet.downs.0.3.weight', 'unet.downs.0.3.bias', 'unet.downs.1.0.mlp.1.weight', 'unet.downs.1.0.mlp.1.bias', 'unet.downs.1.0.block1.proj.weight', 'unet.downs.1.0.block1.proj.bias', 'unet.downs.1.0.block1.norm.weight', 'unet.downs.1.0.block1.norm.bias', 'unet.downs.1.0.block2.proj.weight', 'unet.downs.1.0.block2.proj.bias', 'unet.downs.1.0.block2.norm.weight', 'unet.downs.1.0.block2.norm.bias', 'unet.downs.1.1.mlp.1.weight', 'unet.downs.1.1.mlp.1.bias', 'unet.downs.1.1.block1.proj.weight', 'unet.downs.1.1.block1.proj.bias', 'unet.downs.1.1.block1.norm.weight', 'unet.downs.1.1.block1.norm.bias', 'unet.downs.1.1.block2.proj.weight', 'unet.downs.1.1.block2.proj.bias', 'unet.downs.1.1.block2.norm.weight', 'unet.downs.1.1.block2.norm.bias', 'unet.downs.1.2.fn.fn.to_qkv.weight', 'unet.downs.1.2.fn.fn.to_out.0.weight', 'unet.downs.1.2.fn.fn.to_out.0.bias', 'unet.downs.1.2.fn.fn.to_out.1.g', 'unet.downs.1.2.fn.norm.g', 'unet.downs.1.3.weight', 'unet.downs.1.3.bias', 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'unet.final_res_block.block1.norm.bias', 'unet.final_res_block.block2.proj.weight', 'unet.final_res_block.block2.proj.bias', 'unet.final_res_block.block2.norm.weight', 'unet.final_res_block.block2.norm.bias', 'unet.final_res_block.res_conv.weight', 'unet.final_res_block.res_conv.bias', 'unet.final_conv.weight', 'unet.final_conv.bias', 'conv_seg_new.weight', 'conv_seg_new.bias'] +2023-03-04 12:25:40,246 - mmseg - INFO - Parameters in decode_head freezed! +2023-03-04 12:25:40,267 - mmseg - INFO - load checkpoint from local path: pretrained/segformer_mit-b2_512x512_160k_ade20k_20220620_114047-64e4feca.pth +2023-03-04 12:25:40,513 - mmseg - WARNING - The model and loaded state dict do not match exactly + +unexpected key in source state_dict: decode_head.conv_seg.weight, decode_head.conv_seg.bias, decode_head.convs.0.conv.weight, decode_head.convs.0.bn.weight, decode_head.convs.0.bn.bias, decode_head.convs.0.bn.running_mean, decode_head.convs.0.bn.running_var, decode_head.convs.0.bn.num_batches_tracked, decode_head.convs.1.conv.weight, decode_head.convs.1.bn.weight, decode_head.convs.1.bn.bias, decode_head.convs.1.bn.running_mean, decode_head.convs.1.bn.running_var, decode_head.convs.1.bn.num_batches_tracked, decode_head.convs.2.conv.weight, decode_head.convs.2.bn.weight, decode_head.convs.2.bn.bias, decode_head.convs.2.bn.running_mean, decode_head.convs.2.bn.running_var, decode_head.convs.2.bn.num_batches_tracked, decode_head.convs.3.conv.weight, decode_head.convs.3.bn.weight, decode_head.convs.3.bn.bias, decode_head.convs.3.bn.running_mean, decode_head.convs.3.bn.running_var, decode_head.convs.3.bn.num_batches_tracked, decode_head.fusion_conv.conv.weight, decode_head.fusion_conv.bn.weight, decode_head.fusion_conv.bn.bias, decode_head.fusion_conv.bn.running_mean, decode_head.fusion_conv.bn.running_var, decode_head.fusion_conv.bn.num_batches_tracked + +2023-03-04 12:25:40,526 - mmseg - INFO - load checkpoint from local path: pretrained/segformer_mit-b2_512x512_160k_ade20k_20220620_114047-64e4feca.pth +2023-03-04 12:25:40,741 - mmseg - WARNING - The model and loaded state dict do not match exactly + +unexpected key in source state_dict: backbone.layers.0.0.projection.weight, backbone.layers.0.0.projection.bias, backbone.layers.0.0.norm.weight, backbone.layers.0.0.norm.bias, backbone.layers.0.1.0.norm1.weight, backbone.layers.0.1.0.norm1.bias, backbone.layers.0.1.0.attn.attn.in_proj_weight, backbone.layers.0.1.0.attn.attn.in_proj_bias, backbone.layers.0.1.0.attn.attn.out_proj.weight, backbone.layers.0.1.0.attn.attn.out_proj.bias, backbone.layers.0.1.0.attn.sr.weight, backbone.layers.0.1.0.attn.sr.bias, backbone.layers.0.1.0.attn.norm.weight, backbone.layers.0.1.0.attn.norm.bias, backbone.layers.0.1.0.norm2.weight, backbone.layers.0.1.0.norm2.bias, backbone.layers.0.1.0.ffn.layers.0.weight, backbone.layers.0.1.0.ffn.layers.0.bias, backbone.layers.0.1.0.ffn.layers.1.weight, 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unet.mid_block2.block2.norm.bias, unet.final_res_block.mlp.1.weight, unet.final_res_block.mlp.1.bias, unet.final_res_block.block1.proj.weight, unet.final_res_block.block1.proj.bias, unet.final_res_block.block1.norm.weight, unet.final_res_block.block1.norm.bias, unet.final_res_block.block2.proj.weight, unet.final_res_block.block2.proj.bias, unet.final_res_block.block2.norm.weight, unet.final_res_block.block2.norm.bias, unet.final_res_block.res_conv.weight, unet.final_res_block.res_conv.bias, unet.final_conv.weight, unet.final_conv.bias, conv_seg_new.weight, conv_seg_new.bias, embed.weight + +2023-03-04 12:25:40,764 - mmseg - INFO - EncoderDecoderFreeze( + (backbone): MixVisionTransformerCustomInitWeights( + (layers): ModuleList( + (0): ModuleList( + (0): PatchEmbed( + (projection): Conv2d(3, 64, kernel_size=(7, 7), stride=(4, 4), padding=(3, 3)) + (norm): LayerNorm((64,), eps=1e-06, elementwise_affine=True) + ) + (1): ModuleList( + (0): TransformerEncoderLayer( + (norm1): LayerNorm((64,), eps=1e-06, elementwise_affine=True) + (attn): EfficientMultiheadAttention( + (attn): MultiheadAttention( + (out_proj): NonDynamicallyQuantizableLinear(in_features=64, out_features=64, bias=True) + ) + (proj_drop): Dropout(p=0.0, inplace=False) + (dropout_layer): DropPath() + (sr): Conv2d(64, 64, kernel_size=(8, 8), stride=(8, 8)) + (norm): LayerNorm((64,), eps=1e-06, elementwise_affine=True) + ) + (norm2): LayerNorm((64,), eps=1e-06, elementwise_affine=True) + (ffn): MixFFN( + (activate): GELU(approximate='none') + (layers): Sequential( + (0): Conv2d(64, 256, kernel_size=(1, 1), stride=(1, 1)) + (1): Conv2d(256, 256, kernel_size=(3, 3), stride=(1, 1), padding=(1, 1), groups=256) + (2): GELU(approximate='none') + (3): Dropout(p=0.0, inplace=False) + (4): Conv2d(256, 64, kernel_size=(1, 1), stride=(1, 1)) + (5): Dropout(p=0.0, inplace=False) + ) + (dropout_layer): DropPath() + ) + ) + (1): TransformerEncoderLayer( + (norm1): LayerNorm((64,), eps=1e-06, elementwise_affine=True) + (attn): EfficientMultiheadAttention( + (attn): MultiheadAttention( + (out_proj): NonDynamicallyQuantizableLinear(in_features=64, out_features=64, bias=True) + ) + (proj_drop): Dropout(p=0.0, inplace=False) + (dropout_layer): DropPath() + (sr): Conv2d(64, 64, kernel_size=(8, 8), stride=(8, 8)) + (norm): LayerNorm((64,), eps=1e-06, elementwise_affine=True) + ) + (norm2): LayerNorm((64,), eps=1e-06, elementwise_affine=True) + (ffn): MixFFN( + (activate): GELU(approximate='none') + (layers): Sequential( + (0): Conv2d(64, 256, kernel_size=(1, 1), stride=(1, 1)) + (1): Conv2d(256, 256, kernel_size=(3, 3), stride=(1, 1), padding=(1, 1), groups=256) + (2): GELU(approximate='none') + (3): Dropout(p=0.0, inplace=False) + (4): Conv2d(256, 64, kernel_size=(1, 1), stride=(1, 1)) + (5): Dropout(p=0.0, inplace=False) + ) + (dropout_layer): DropPath() + ) + ) + (2): TransformerEncoderLayer( + (norm1): LayerNorm((64,), eps=1e-06, elementwise_affine=True) + (attn): EfficientMultiheadAttention( + (attn): MultiheadAttention( + (out_proj): NonDynamicallyQuantizableLinear(in_features=64, out_features=64, bias=True) + ) + (proj_drop): Dropout(p=0.0, inplace=False) + (dropout_layer): DropPath() + (sr): Conv2d(64, 64, kernel_size=(8, 8), stride=(8, 8)) + (norm): LayerNorm((64,), eps=1e-06, elementwise_affine=True) + ) + (norm2): LayerNorm((64,), eps=1e-06, elementwise_affine=True) + (ffn): MixFFN( + (activate): GELU(approximate='none') + (layers): Sequential( + (0): Conv2d(64, 256, kernel_size=(1, 1), stride=(1, 1)) + (1): Conv2d(256, 256, kernel_size=(3, 3), stride=(1, 1), padding=(1, 1), groups=256) + (2): GELU(approximate='none') + (3): Dropout(p=0.0, inplace=False) + (4): Conv2d(256, 64, kernel_size=(1, 1), stride=(1, 1)) + (5): Dropout(p=0.0, inplace=False) + ) + (dropout_layer): DropPath() + ) + ) + ) + (2): LayerNorm((64,), eps=1e-06, elementwise_affine=True) + ) + (1): ModuleList( + (0): PatchEmbed( + (projection): Conv2d(64, 128, kernel_size=(3, 3), stride=(2, 2), padding=(1, 1)) + (norm): LayerNorm((128,), eps=1e-06, elementwise_affine=True) + ) + (1): ModuleList( + (0): TransformerEncoderLayer( + (norm1): LayerNorm((128,), eps=1e-06, elementwise_affine=True) + (attn): EfficientMultiheadAttention( + (attn): MultiheadAttention( + (out_proj): NonDynamicallyQuantizableLinear(in_features=128, out_features=128, bias=True) + ) + (proj_drop): Dropout(p=0.0, inplace=False) + (dropout_layer): DropPath() + (sr): Conv2d(128, 128, kernel_size=(4, 4), stride=(4, 4)) + (norm): LayerNorm((128,), eps=1e-06, elementwise_affine=True) + ) + (norm2): LayerNorm((128,), eps=1e-06, elementwise_affine=True) + (ffn): MixFFN( + (activate): GELU(approximate='none') + (layers): Sequential( + (0): Conv2d(128, 512, kernel_size=(1, 1), stride=(1, 1)) + (1): Conv2d(512, 512, kernel_size=(3, 3), stride=(1, 1), padding=(1, 1), groups=512) + (2): GELU(approximate='none') + (3): Dropout(p=0.0, inplace=False) + (4): Conv2d(512, 128, kernel_size=(1, 1), stride=(1, 1)) + (5): Dropout(p=0.0, inplace=False) + ) + (dropout_layer): DropPath() + ) + ) + (1): TransformerEncoderLayer( + (norm1): LayerNorm((128,), eps=1e-06, elementwise_affine=True) + (attn): EfficientMultiheadAttention( + (attn): MultiheadAttention( + (out_proj): NonDynamicallyQuantizableLinear(in_features=128, out_features=128, bias=True) + ) + (proj_drop): Dropout(p=0.0, inplace=False) + (dropout_layer): DropPath() + (sr): Conv2d(128, 128, kernel_size=(4, 4), stride=(4, 4)) + (norm): LayerNorm((128,), eps=1e-06, elementwise_affine=True) + ) + (norm2): LayerNorm((128,), eps=1e-06, elementwise_affine=True) + (ffn): MixFFN( + (activate): GELU(approximate='none') + (layers): Sequential( + (0): Conv2d(128, 512, kernel_size=(1, 1), stride=(1, 1)) + (1): Conv2d(512, 512, kernel_size=(3, 3), stride=(1, 1), padding=(1, 1), groups=512) + (2): GELU(approximate='none') + (3): Dropout(p=0.0, inplace=False) + (4): Conv2d(512, 128, kernel_size=(1, 1), stride=(1, 1)) + (5): Dropout(p=0.0, inplace=False) + ) + (dropout_layer): DropPath() + ) + ) + (2): TransformerEncoderLayer( + (norm1): LayerNorm((128,), eps=1e-06, elementwise_affine=True) + (attn): EfficientMultiheadAttention( + (attn): MultiheadAttention( + (out_proj): NonDynamicallyQuantizableLinear(in_features=128, out_features=128, bias=True) + ) + (proj_drop): Dropout(p=0.0, inplace=False) + (dropout_layer): DropPath() + (sr): Conv2d(128, 128, kernel_size=(4, 4), stride=(4, 4)) + (norm): LayerNorm((128,), eps=1e-06, elementwise_affine=True) + ) + (norm2): LayerNorm((128,), eps=1e-06, elementwise_affine=True) + (ffn): MixFFN( + (activate): GELU(approximate='none') + (layers): Sequential( + (0): Conv2d(128, 512, kernel_size=(1, 1), stride=(1, 1)) + (1): Conv2d(512, 512, kernel_size=(3, 3), stride=(1, 1), padding=(1, 1), groups=512) + (2): GELU(approximate='none') + (3): Dropout(p=0.0, inplace=False) + (4): Conv2d(512, 128, kernel_size=(1, 1), stride=(1, 1)) + (5): Dropout(p=0.0, inplace=False) + ) + (dropout_layer): DropPath() + ) + ) + (3): TransformerEncoderLayer( + (norm1): LayerNorm((128,), eps=1e-06, elementwise_affine=True) + (attn): EfficientMultiheadAttention( + (attn): MultiheadAttention( + (out_proj): NonDynamicallyQuantizableLinear(in_features=128, out_features=128, bias=True) + ) + (proj_drop): Dropout(p=0.0, inplace=False) + (dropout_layer): DropPath() + (sr): Conv2d(128, 128, kernel_size=(4, 4), stride=(4, 4)) + (norm): LayerNorm((128,), eps=1e-06, elementwise_affine=True) + ) + (norm2): LayerNorm((128,), eps=1e-06, elementwise_affine=True) + (ffn): MixFFN( + (activate): GELU(approximate='none') + (layers): Sequential( + (0): Conv2d(128, 512, kernel_size=(1, 1), stride=(1, 1)) + (1): Conv2d(512, 512, kernel_size=(3, 3), stride=(1, 1), padding=(1, 1), groups=512) + (2): GELU(approximate='none') + (3): Dropout(p=0.0, inplace=False) + (4): Conv2d(512, 128, kernel_size=(1, 1), stride=(1, 1)) + (5): Dropout(p=0.0, inplace=False) + ) + (dropout_layer): DropPath() + ) + ) + ) + (2): LayerNorm((128,), eps=1e-06, elementwise_affine=True) + ) + (2): ModuleList( + (0): PatchEmbed( + (projection): Conv2d(128, 320, kernel_size=(3, 3), stride=(2, 2), padding=(1, 1)) + (norm): LayerNorm((320,), eps=1e-06, elementwise_affine=True) + ) + (1): ModuleList( + (0): TransformerEncoderLayer( + (norm1): LayerNorm((320,), eps=1e-06, elementwise_affine=True) + (attn): EfficientMultiheadAttention( + (attn): MultiheadAttention( + (out_proj): NonDynamicallyQuantizableLinear(in_features=320, out_features=320, bias=True) + ) + (proj_drop): Dropout(p=0.0, inplace=False) + (dropout_layer): DropPath() + (sr): Conv2d(320, 320, kernel_size=(2, 2), stride=(2, 2)) + (norm): LayerNorm((320,), eps=1e-06, elementwise_affine=True) + ) + (norm2): LayerNorm((320,), eps=1e-06, elementwise_affine=True) + (ffn): MixFFN( + (activate): GELU(approximate='none') + (layers): Sequential( + (0): Conv2d(320, 1280, kernel_size=(1, 1), stride=(1, 1)) + (1): Conv2d(1280, 1280, kernel_size=(3, 3), stride=(1, 1), padding=(1, 1), groups=1280) + (2): GELU(approximate='none') + (3): Dropout(p=0.0, inplace=False) + (4): Conv2d(1280, 320, kernel_size=(1, 1), stride=(1, 1)) + (5): Dropout(p=0.0, inplace=False) + ) + (dropout_layer): DropPath() + ) + ) + (1): TransformerEncoderLayer( + (norm1): LayerNorm((320,), eps=1e-06, elementwise_affine=True) + (attn): EfficientMultiheadAttention( + (attn): MultiheadAttention( + (out_proj): NonDynamicallyQuantizableLinear(in_features=320, out_features=320, bias=True) + ) + (proj_drop): Dropout(p=0.0, inplace=False) + (dropout_layer): DropPath() + (sr): Conv2d(320, 320, kernel_size=(2, 2), stride=(2, 2)) + (norm): LayerNorm((320,), eps=1e-06, elementwise_affine=True) + ) + (norm2): LayerNorm((320,), eps=1e-06, elementwise_affine=True) + (ffn): MixFFN( + (activate): GELU(approximate='none') + (layers): Sequential( + (0): Conv2d(320, 1280, kernel_size=(1, 1), stride=(1, 1)) + (1): Conv2d(1280, 1280, kernel_size=(3, 3), stride=(1, 1), padding=(1, 1), groups=1280) + (2): GELU(approximate='none') + (3): Dropout(p=0.0, inplace=False) + (4): Conv2d(1280, 320, kernel_size=(1, 1), stride=(1, 1)) + (5): Dropout(p=0.0, inplace=False) + ) + (dropout_layer): DropPath() + ) + ) + (2): TransformerEncoderLayer( + (norm1): LayerNorm((320,), eps=1e-06, elementwise_affine=True) + (attn): EfficientMultiheadAttention( + (attn): MultiheadAttention( + (out_proj): NonDynamicallyQuantizableLinear(in_features=320, out_features=320, bias=True) + ) + (proj_drop): Dropout(p=0.0, inplace=False) + (dropout_layer): DropPath() + (sr): Conv2d(320, 320, kernel_size=(2, 2), stride=(2, 2)) + (norm): LayerNorm((320,), eps=1e-06, elementwise_affine=True) + ) + (norm2): LayerNorm((320,), eps=1e-06, elementwise_affine=True) + (ffn): MixFFN( + (activate): GELU(approximate='none') + (layers): Sequential( + (0): Conv2d(320, 1280, kernel_size=(1, 1), stride=(1, 1)) + (1): Conv2d(1280, 1280, kernel_size=(3, 3), stride=(1, 1), padding=(1, 1), groups=1280) + (2): GELU(approximate='none') + (3): Dropout(p=0.0, inplace=False) + (4): Conv2d(1280, 320, kernel_size=(1, 1), stride=(1, 1)) + (5): Dropout(p=0.0, inplace=False) + ) + (dropout_layer): DropPath() + ) + ) + (3): TransformerEncoderLayer( + (norm1): LayerNorm((320,), eps=1e-06, elementwise_affine=True) + (attn): EfficientMultiheadAttention( + (attn): MultiheadAttention( + (out_proj): NonDynamicallyQuantizableLinear(in_features=320, out_features=320, bias=True) + ) + (proj_drop): Dropout(p=0.0, inplace=False) + (dropout_layer): DropPath() + (sr): Conv2d(320, 320, kernel_size=(2, 2), stride=(2, 2)) + (norm): LayerNorm((320,), eps=1e-06, elementwise_affine=True) + ) + (norm2): LayerNorm((320,), eps=1e-06, elementwise_affine=True) + (ffn): MixFFN( + (activate): GELU(approximate='none') + (layers): Sequential( + (0): Conv2d(320, 1280, kernel_size=(1, 1), stride=(1, 1)) + (1): Conv2d(1280, 1280, kernel_size=(3, 3), stride=(1, 1), padding=(1, 1), groups=1280) + (2): GELU(approximate='none') + (3): Dropout(p=0.0, inplace=False) + (4): Conv2d(1280, 320, kernel_size=(1, 1), stride=(1, 1)) + (5): Dropout(p=0.0, inplace=False) + ) + (dropout_layer): DropPath() + ) + ) + (4): TransformerEncoderLayer( + (norm1): LayerNorm((320,), eps=1e-06, elementwise_affine=True) + (attn): EfficientMultiheadAttention( + (attn): MultiheadAttention( + (out_proj): NonDynamicallyQuantizableLinear(in_features=320, out_features=320, bias=True) + ) + (proj_drop): Dropout(p=0.0, inplace=False) + (dropout_layer): DropPath() + (sr): Conv2d(320, 320, kernel_size=(2, 2), stride=(2, 2)) + (norm): LayerNorm((320,), eps=1e-06, elementwise_affine=True) + ) + (norm2): LayerNorm((320,), eps=1e-06, elementwise_affine=True) + (ffn): MixFFN( + (activate): GELU(approximate='none') + (layers): Sequential( + (0): Conv2d(320, 1280, kernel_size=(1, 1), stride=(1, 1)) + (1): Conv2d(1280, 1280, kernel_size=(3, 3), stride=(1, 1), padding=(1, 1), groups=1280) + (2): GELU(approximate='none') + (3): Dropout(p=0.0, inplace=False) + (4): Conv2d(1280, 320, kernel_size=(1, 1), stride=(1, 1)) + (5): Dropout(p=0.0, inplace=False) + ) + (dropout_layer): DropPath() + ) + ) + (5): TransformerEncoderLayer( + (norm1): LayerNorm((320,), eps=1e-06, elementwise_affine=True) + (attn): EfficientMultiheadAttention( + (attn): MultiheadAttention( + (out_proj): NonDynamicallyQuantizableLinear(in_features=320, out_features=320, bias=True) + ) + (proj_drop): Dropout(p=0.0, inplace=False) + (dropout_layer): DropPath() + (sr): Conv2d(320, 320, kernel_size=(2, 2), stride=(2, 2)) + (norm): LayerNorm((320,), eps=1e-06, elementwise_affine=True) + ) + (norm2): LayerNorm((320,), eps=1e-06, elementwise_affine=True) + (ffn): MixFFN( + (activate): GELU(approximate='none') + (layers): Sequential( + (0): Conv2d(320, 1280, kernel_size=(1, 1), stride=(1, 1)) + (1): Conv2d(1280, 1280, kernel_size=(3, 3), stride=(1, 1), padding=(1, 1), groups=1280) + (2): GELU(approximate='none') + (3): Dropout(p=0.0, inplace=False) + (4): Conv2d(1280, 320, kernel_size=(1, 1), stride=(1, 1)) + (5): Dropout(p=0.0, inplace=False) + ) + (dropout_layer): DropPath() + ) + ) + ) + (2): LayerNorm((320,), eps=1e-06, elementwise_affine=True) + ) + (3): ModuleList( + (0): PatchEmbed( + (projection): Conv2d(320, 512, kernel_size=(3, 3), stride=(2, 2), padding=(1, 1)) + (norm): LayerNorm((512,), eps=1e-06, elementwise_affine=True) + ) + (1): ModuleList( + (0): TransformerEncoderLayer( + (norm1): LayerNorm((512,), eps=1e-06, elementwise_affine=True) + (attn): EfficientMultiheadAttention( + (attn): MultiheadAttention( + (out_proj): NonDynamicallyQuantizableLinear(in_features=512, out_features=512, bias=True) + ) + (proj_drop): Dropout(p=0.0, inplace=False) + (dropout_layer): DropPath() + ) + (norm2): LayerNorm((512,), eps=1e-06, elementwise_affine=True) + (ffn): MixFFN( + (activate): GELU(approximate='none') + (layers): Sequential( + (0): Conv2d(512, 2048, kernel_size=(1, 1), stride=(1, 1)) + (1): Conv2d(2048, 2048, kernel_size=(3, 3), stride=(1, 1), padding=(1, 1), groups=2048) + (2): GELU(approximate='none') + (3): Dropout(p=0.0, inplace=False) + (4): Conv2d(2048, 512, kernel_size=(1, 1), stride=(1, 1)) + (5): Dropout(p=0.0, inplace=False) + ) + (dropout_layer): DropPath() + ) + ) + (1): TransformerEncoderLayer( + (norm1): LayerNorm((512,), eps=1e-06, elementwise_affine=True) + (attn): EfficientMultiheadAttention( + (attn): MultiheadAttention( + (out_proj): NonDynamicallyQuantizableLinear(in_features=512, out_features=512, bias=True) + ) + (proj_drop): Dropout(p=0.0, inplace=False) + (dropout_layer): DropPath() + ) + (norm2): LayerNorm((512,), eps=1e-06, elementwise_affine=True) + (ffn): MixFFN( + (activate): GELU(approximate='none') + (layers): Sequential( + (0): Conv2d(512, 2048, kernel_size=(1, 1), stride=(1, 1)) + (1): Conv2d(2048, 2048, kernel_size=(3, 3), stride=(1, 1), padding=(1, 1), groups=2048) + (2): GELU(approximate='none') + (3): Dropout(p=0.0, inplace=False) + (4): Conv2d(2048, 512, kernel_size=(1, 1), stride=(1, 1)) + (5): Dropout(p=0.0, inplace=False) + ) + (dropout_layer): DropPath() + ) + ) + (2): TransformerEncoderLayer( + (norm1): LayerNorm((512,), eps=1e-06, elementwise_affine=True) + (attn): EfficientMultiheadAttention( + (attn): MultiheadAttention( + (out_proj): NonDynamicallyQuantizableLinear(in_features=512, out_features=512, bias=True) + ) + (proj_drop): Dropout(p=0.0, inplace=False) + (dropout_layer): DropPath() + ) + (norm2): LayerNorm((512,), eps=1e-06, elementwise_affine=True) + (ffn): MixFFN( + (activate): GELU(approximate='none') + (layers): Sequential( + (0): Conv2d(512, 2048, kernel_size=(1, 1), stride=(1, 1)) + (1): Conv2d(2048, 2048, kernel_size=(3, 3), stride=(1, 1), padding=(1, 1), groups=2048) + (2): GELU(approximate='none') + (3): Dropout(p=0.0, inplace=False) + (4): Conv2d(2048, 512, kernel_size=(1, 1), stride=(1, 1)) + (5): Dropout(p=0.0, inplace=False) + ) + (dropout_layer): DropPath() + ) + ) + ) + (2): LayerNorm((512,), eps=1e-06, elementwise_affine=True) + ) + ) + ) + init_cfg={'type': 'Pretrained', 'checkpoint': 'pretrained/segformer_mit-b2_512x512_160k_ade20k_20220620_114047-64e4feca.pth'} + (decode_head): SegformerHeadUnetFCHeadSingleStepMask( + input_transform=multiple_select, ignore_index=0, align_corners=False + (loss_decode): CrossEntropyLoss(avg_non_ignore=False) + (conv_seg): None + (dropout): Dropout2d(p=0.1, inplace=False) + (convs): ModuleList( + (0): ConvModule( + (conv): Conv2d(64, 256, kernel_size=(1, 1), stride=(1, 1), bias=False) + (bn): SyncBatchNorm(256, eps=1e-05, momentum=0.1, affine=True, track_running_stats=True) + (activate): ReLU(inplace=True) + ) + (1): ConvModule( + (conv): Conv2d(128, 256, kernel_size=(1, 1), stride=(1, 1), bias=False) + (bn): SyncBatchNorm(256, eps=1e-05, momentum=0.1, affine=True, track_running_stats=True) + (activate): ReLU(inplace=True) + ) + (2): ConvModule( + (conv): Conv2d(320, 256, kernel_size=(1, 1), stride=(1, 1), bias=False) + (bn): SyncBatchNorm(256, eps=1e-05, momentum=0.1, affine=True, track_running_stats=True) + (activate): ReLU(inplace=True) + ) + (3): ConvModule( + (conv): Conv2d(512, 256, kernel_size=(1, 1), stride=(1, 1), bias=False) + (bn): SyncBatchNorm(256, eps=1e-05, momentum=0.1, affine=True, track_running_stats=True) + (activate): ReLU(inplace=True) + ) + ) + (fusion_conv): ConvModule( + (conv): Conv2d(1024, 256, kernel_size=(1, 1), stride=(1, 1), bias=False) + (bn): SyncBatchNorm(256, eps=1e-05, momentum=0.1, affine=True, track_running_stats=True) + (activate): ReLU(inplace=True) + ) + (unet): Unet( + (init_conv): Conv2d(272, 128, kernel_size=(7, 7), stride=(1, 1), padding=(3, 3)) + (time_mlp): Sequential( + (0): SinusoidalPosEmb() + (1): Linear(in_features=128, out_features=512, bias=True) + (2): GELU(approximate='none') + (3): Linear(in_features=512, out_features=512, bias=True) + ) + (downs): ModuleList( + (0): ModuleList( + (0): ResnetBlock( + (mlp): Sequential( + (0): SiLU() + (1): Linear(in_features=512, out_features=256, bias=True) + ) + (block1): Block( + (proj): WeightStandardizedConv2d(128, 128, kernel_size=(3, 3), stride=(1, 1), padding=(1, 1)) + (norm): GroupNorm(8, 128, eps=1e-05, affine=True) + (act): SiLU() + ) + (block2): Block( + (proj): WeightStandardizedConv2d(128, 128, kernel_size=(3, 3), stride=(1, 1), padding=(1, 1)) + (norm): GroupNorm(8, 128, eps=1e-05, affine=True) + (act): SiLU() + ) + (res_conv): Identity() + ) + (1): ResnetBlock( + (mlp): Sequential( + (0): SiLU() + (1): Linear(in_features=512, out_features=256, bias=True) + ) + (block1): Block( + (proj): WeightStandardizedConv2d(128, 128, kernel_size=(3, 3), stride=(1, 1), padding=(1, 1)) + (norm): GroupNorm(8, 128, eps=1e-05, affine=True) + (act): SiLU() + ) + (block2): Block( + (proj): WeightStandardizedConv2d(128, 128, kernel_size=(3, 3), stride=(1, 1), padding=(1, 1)) + (norm): GroupNorm(8, 128, eps=1e-05, affine=True) + (act): SiLU() + ) + (res_conv): Identity() + ) + (2): Residual( + (fn): PreNorm( + (fn): LinearAttention( + (to_qkv): Conv2d(128, 384, kernel_size=(1, 1), stride=(1, 1), bias=False) + (to_out): Sequential( + (0): Conv2d(128, 128, kernel_size=(1, 1), stride=(1, 1)) + (1): LayerNorm() + ) + ) + (norm): LayerNorm() + ) + ) + (3): Conv2d(128, 128, kernel_size=(4, 4), stride=(2, 2), padding=(1, 1)) + ) + (1): ModuleList( + (0): ResnetBlock( + (mlp): Sequential( + (0): SiLU() + (1): Linear(in_features=512, out_features=256, bias=True) + ) + (block1): Block( + (proj): WeightStandardizedConv2d(128, 128, kernel_size=(3, 3), stride=(1, 1), padding=(1, 1)) + (norm): GroupNorm(8, 128, eps=1e-05, affine=True) + (act): SiLU() + ) + (block2): Block( + (proj): WeightStandardizedConv2d(128, 128, kernel_size=(3, 3), stride=(1, 1), padding=(1, 1)) + (norm): GroupNorm(8, 128, eps=1e-05, affine=True) + (act): SiLU() + ) + (res_conv): Identity() + ) + (1): ResnetBlock( + (mlp): Sequential( + (0): SiLU() + (1): Linear(in_features=512, out_features=256, bias=True) + ) + (block1): Block( + (proj): WeightStandardizedConv2d(128, 128, kernel_size=(3, 3), stride=(1, 1), padding=(1, 1)) + (norm): GroupNorm(8, 128, eps=1e-05, affine=True) + (act): SiLU() + ) + (block2): Block( + (proj): WeightStandardizedConv2d(128, 128, kernel_size=(3, 3), stride=(1, 1), padding=(1, 1)) + (norm): GroupNorm(8, 128, eps=1e-05, affine=True) + (act): SiLU() + ) + (res_conv): Identity() + ) + (2): Residual( + (fn): PreNorm( + (fn): LinearAttention( + (to_qkv): Conv2d(128, 384, kernel_size=(1, 1), stride=(1, 1), bias=False) + (to_out): Sequential( + (0): Conv2d(128, 128, kernel_size=(1, 1), stride=(1, 1)) + (1): LayerNorm() + ) + ) + (norm): LayerNorm() + ) + ) + (3): Conv2d(128, 128, kernel_size=(4, 4), stride=(2, 2), padding=(1, 1)) + ) + (2): ModuleList( + (0): ResnetBlock( + (mlp): Sequential( + (0): SiLU() + (1): Linear(in_features=512, out_features=256, bias=True) + ) + (block1): Block( + (proj): WeightStandardizedConv2d(128, 128, kernel_size=(3, 3), stride=(1, 1), padding=(1, 1)) + (norm): GroupNorm(8, 128, eps=1e-05, affine=True) + (act): SiLU() + ) + (block2): Block( + (proj): WeightStandardizedConv2d(128, 128, kernel_size=(3, 3), stride=(1, 1), padding=(1, 1)) + (norm): GroupNorm(8, 128, eps=1e-05, affine=True) + (act): SiLU() + ) + (res_conv): Identity() + ) + (1): ResnetBlock( + (mlp): Sequential( + (0): SiLU() + (1): Linear(in_features=512, out_features=256, bias=True) + ) + (block1): Block( + (proj): WeightStandardizedConv2d(128, 128, kernel_size=(3, 3), stride=(1, 1), padding=(1, 1)) + (norm): GroupNorm(8, 128, eps=1e-05, affine=True) + (act): SiLU() + ) + (block2): Block( + (proj): WeightStandardizedConv2d(128, 128, kernel_size=(3, 3), stride=(1, 1), padding=(1, 1)) + (norm): GroupNorm(8, 128, eps=1e-05, affine=True) + (act): SiLU() + ) + (res_conv): Identity() + ) + (2): Residual( + (fn): PreNorm( + (fn): LinearAttention( + (to_qkv): Conv2d(128, 384, kernel_size=(1, 1), stride=(1, 1), bias=False) + (to_out): Sequential( + (0): Conv2d(128, 128, kernel_size=(1, 1), stride=(1, 1)) + (1): LayerNorm() + ) + ) + (norm): LayerNorm() + ) + ) + (3): Conv2d(128, 128, kernel_size=(3, 3), stride=(1, 1), padding=(1, 1)) + ) + ) + (ups): ModuleList( + (0): ModuleList( + (0): ResnetBlock( + (mlp): Sequential( + (0): SiLU() + (1): Linear(in_features=512, out_features=256, bias=True) + ) + (block1): Block( + (proj): WeightStandardizedConv2d(256, 128, kernel_size=(3, 3), stride=(1, 1), padding=(1, 1)) + (norm): GroupNorm(8, 128, eps=1e-05, affine=True) + (act): SiLU() + ) + (block2): Block( + (proj): WeightStandardizedConv2d(128, 128, kernel_size=(3, 3), stride=(1, 1), padding=(1, 1)) + (norm): GroupNorm(8, 128, eps=1e-05, affine=True) + (act): SiLU() + ) + (res_conv): Conv2d(256, 128, kernel_size=(1, 1), stride=(1, 1)) + ) + (1): ResnetBlock( + (mlp): Sequential( + (0): SiLU() + (1): Linear(in_features=512, out_features=256, bias=True) + ) + (block1): Block( + (proj): WeightStandardizedConv2d(256, 128, kernel_size=(3, 3), stride=(1, 1), padding=(1, 1)) + (norm): GroupNorm(8, 128, eps=1e-05, affine=True) + (act): SiLU() + ) + (block2): Block( + (proj): WeightStandardizedConv2d(128, 128, kernel_size=(3, 3), stride=(1, 1), padding=(1, 1)) + (norm): GroupNorm(8, 128, eps=1e-05, affine=True) + (act): SiLU() + ) + (res_conv): Conv2d(256, 128, kernel_size=(1, 1), stride=(1, 1)) + ) + (2): Residual( + (fn): PreNorm( + (fn): LinearAttention( + (to_qkv): Conv2d(128, 384, kernel_size=(1, 1), stride=(1, 1), bias=False) + (to_out): Sequential( + (0): Conv2d(128, 128, kernel_size=(1, 1), stride=(1, 1)) + (1): LayerNorm() + ) + ) + (norm): LayerNorm() + ) + ) + (3): Sequential( + (0): Upsample(scale_factor=2.0, mode=nearest) + (1): Conv2d(128, 128, kernel_size=(3, 3), stride=(1, 1), padding=(1, 1)) + ) + ) + (1): ModuleList( + (0): ResnetBlock( + (mlp): Sequential( + (0): SiLU() + (1): Linear(in_features=512, out_features=256, bias=True) + ) + (block1): Block( + (proj): WeightStandardizedConv2d(256, 128, kernel_size=(3, 3), stride=(1, 1), padding=(1, 1)) + (norm): GroupNorm(8, 128, eps=1e-05, affine=True) + (act): SiLU() + ) + (block2): Block( + (proj): WeightStandardizedConv2d(128, 128, kernel_size=(3, 3), stride=(1, 1), padding=(1, 1)) + (norm): GroupNorm(8, 128, eps=1e-05, affine=True) + (act): SiLU() + ) + (res_conv): Conv2d(256, 128, kernel_size=(1, 1), stride=(1, 1)) + ) + (1): ResnetBlock( + (mlp): Sequential( + (0): SiLU() + (1): Linear(in_features=512, out_features=256, bias=True) + ) + (block1): Block( + (proj): WeightStandardizedConv2d(256, 128, kernel_size=(3, 3), stride=(1, 1), padding=(1, 1)) + (norm): GroupNorm(8, 128, eps=1e-05, affine=True) + (act): SiLU() + ) + (block2): Block( + (proj): WeightStandardizedConv2d(128, 128, kernel_size=(3, 3), stride=(1, 1), padding=(1, 1)) + (norm): GroupNorm(8, 128, eps=1e-05, affine=True) + (act): SiLU() + ) + (res_conv): Conv2d(256, 128, kernel_size=(1, 1), stride=(1, 1)) + ) + (2): Residual( + (fn): PreNorm( + (fn): LinearAttention( + (to_qkv): Conv2d(128, 384, kernel_size=(1, 1), stride=(1, 1), bias=False) + (to_out): Sequential( + (0): Conv2d(128, 128, kernel_size=(1, 1), stride=(1, 1)) + (1): LayerNorm() + ) + ) + (norm): LayerNorm() + ) + ) + (3): Sequential( + (0): Upsample(scale_factor=2.0, mode=nearest) + (1): Conv2d(128, 128, kernel_size=(3, 3), stride=(1, 1), padding=(1, 1)) + ) + ) + (2): ModuleList( + (0): ResnetBlock( + (mlp): Sequential( + (0): SiLU() + (1): Linear(in_features=512, out_features=256, bias=True) + ) + (block1): Block( + (proj): WeightStandardizedConv2d(256, 128, kernel_size=(3, 3), stride=(1, 1), padding=(1, 1)) + (norm): GroupNorm(8, 128, eps=1e-05, affine=True) + (act): SiLU() + ) + (block2): Block( + (proj): WeightStandardizedConv2d(128, 128, kernel_size=(3, 3), stride=(1, 1), padding=(1, 1)) + (norm): GroupNorm(8, 128, eps=1e-05, affine=True) + (act): SiLU() + ) + (res_conv): Conv2d(256, 128, kernel_size=(1, 1), stride=(1, 1)) + ) + (1): ResnetBlock( + (mlp): Sequential( + (0): SiLU() + (1): Linear(in_features=512, out_features=256, bias=True) + ) + (block1): Block( + (proj): WeightStandardizedConv2d(256, 128, kernel_size=(3, 3), stride=(1, 1), padding=(1, 1)) + (norm): GroupNorm(8, 128, eps=1e-05, affine=True) + (act): SiLU() + ) + (block2): Block( + (proj): WeightStandardizedConv2d(128, 128, kernel_size=(3, 3), stride=(1, 1), padding=(1, 1)) + (norm): GroupNorm(8, 128, eps=1e-05, affine=True) + (act): SiLU() + ) + (res_conv): Conv2d(256, 128, kernel_size=(1, 1), stride=(1, 1)) + ) + (2): Residual( + (fn): PreNorm( + (fn): LinearAttention( + (to_qkv): Conv2d(128, 384, kernel_size=(1, 1), stride=(1, 1), bias=False) + (to_out): Sequential( + (0): Conv2d(128, 128, kernel_size=(1, 1), stride=(1, 1)) + (1): LayerNorm() + ) + ) + (norm): LayerNorm() + ) + ) + (3): Conv2d(128, 128, kernel_size=(3, 3), stride=(1, 1), padding=(1, 1)) + ) + ) + (mid_block1): ResnetBlock( + (mlp): Sequential( + (0): SiLU() + (1): Linear(in_features=512, out_features=256, bias=True) + ) + (block1): Block( + (proj): WeightStandardizedConv2d(128, 128, kernel_size=(3, 3), stride=(1, 1), padding=(1, 1)) + (norm): GroupNorm(8, 128, eps=1e-05, affine=True) + (act): SiLU() + ) + (block2): Block( + (proj): WeightStandardizedConv2d(128, 128, kernel_size=(3, 3), stride=(1, 1), padding=(1, 1)) + (norm): GroupNorm(8, 128, eps=1e-05, affine=True) + (act): SiLU() + ) + (res_conv): Identity() + ) + (mid_attn): Residual( + (fn): PreNorm( + (fn): Attention( + (to_qkv): Conv2d(128, 384, kernel_size=(1, 1), stride=(1, 1), bias=False) + (to_out): Conv2d(128, 128, kernel_size=(1, 1), stride=(1, 1)) + ) + (norm): LayerNorm() + ) + ) + (mid_block2): ResnetBlock( + (mlp): Sequential( + (0): SiLU() + (1): Linear(in_features=512, out_features=256, bias=True) + ) + (block1): Block( + (proj): WeightStandardizedConv2d(128, 128, kernel_size=(3, 3), stride=(1, 1), padding=(1, 1)) + (norm): GroupNorm(8, 128, eps=1e-05, affine=True) + (act): SiLU() + ) + (block2): Block( + (proj): WeightStandardizedConv2d(128, 128, kernel_size=(3, 3), stride=(1, 1), padding=(1, 1)) + (norm): GroupNorm(8, 128, eps=1e-05, affine=True) + (act): SiLU() + ) + (res_conv): Identity() + ) + (final_res_block): ResnetBlock( + (mlp): Sequential( + (0): SiLU() + (1): Linear(in_features=512, out_features=256, bias=True) + ) + (block1): Block( + (proj): WeightStandardizedConv2d(256, 128, kernel_size=(3, 3), stride=(1, 1), padding=(1, 1)) + (norm): GroupNorm(8, 128, eps=1e-05, affine=True) + (act): SiLU() + ) + (block2): Block( + (proj): WeightStandardizedConv2d(128, 128, kernel_size=(3, 3), stride=(1, 1), padding=(1, 1)) + (norm): GroupNorm(8, 128, eps=1e-05, affine=True) + (act): SiLU() + ) + (res_conv): Conv2d(256, 128, kernel_size=(1, 1), stride=(1, 1)) + ) + (final_conv): Conv2d(128, 256, kernel_size=(1, 1), stride=(1, 1)) + ) + (conv_seg_new): Conv2d(256, 151, kernel_size=(1, 1), stride=(1, 1)) + (embed): Embedding(152, 16) + ) + init_cfg={'type': 'Pretrained', 'checkpoint': 'pretrained/segformer_mit-b2_512x512_160k_ade20k_20220620_114047-64e4feca.pth'} +) +2023-03-04 12:25:41,610 - mmseg - INFO - Loaded 20210 images +2023-03-04 12:25:42,658 - mmseg - INFO - Loaded 2000 images +2023-03-04 12:25:42,659 - mmseg - INFO - load checkpoint from local path: ./work_dirs2/ablation_segformer_mit_b2_segformer_head_unet_fc_single_step_ade_pretrained_freeze_embed_80k_ade20k151_mask/latest.pth +2023-03-04 12:25:43,310 - mmseg - INFO - resumed from epoch: 13, iter 7999 +2023-03-04 12:25:43,311 - mmseg - INFO - Start running, host: laizeqiang@SH-IDC1-10-140-37-132, work_dir: /mnt/petrelfs/laizeqiang/mmseg-baseline/work_dirs2/ablation_segformer_mit_b2_segformer_head_unet_fc_single_step_ade_pretrained_freeze_embed_80k_ade20k151_mask +2023-03-04 12:25:43,312 - mmseg - INFO - Hooks will be executed in the following order: +before_run: +(VERY_HIGH ) StepLrUpdaterHook +(NORMAL ) CheckpointHook +(LOW ) DistEvalHook +(VERY_LOW ) TextLoggerHook + -------------------- +before_train_epoch: +(VERY_HIGH ) StepLrUpdaterHook +(LOW ) IterTimerHook +(LOW ) DistEvalHook +(VERY_LOW ) TextLoggerHook + -------------------- +before_train_iter: +(VERY_HIGH ) StepLrUpdaterHook +(LOW ) IterTimerHook +(LOW ) DistEvalHook + -------------------- +after_train_iter: +(ABOVE_NORMAL) OptimizerHook +(NORMAL ) CheckpointHook +(LOW ) IterTimerHook +(LOW ) DistEvalHook +(VERY_LOW ) TextLoggerHook + -------------------- +after_train_epoch: +(NORMAL ) CheckpointHook +(LOW ) DistEvalHook +(VERY_LOW ) TextLoggerHook + -------------------- +before_val_epoch: +(LOW ) IterTimerHook +(VERY_LOW ) TextLoggerHook + -------------------- +before_val_iter: +(LOW ) IterTimerHook + -------------------- +after_val_iter: +(LOW ) IterTimerHook + -------------------- +after_val_epoch: +(VERY_LOW ) TextLoggerHook + -------------------- +after_run: +(VERY_LOW ) TextLoggerHook + -------------------- +2023-03-04 12:25:43,312 - mmseg - INFO - workflow: [('train', 1)], max: 80000 iters +2023-03-04 12:25:43,312 - mmseg - INFO - Checkpoints will be saved to /mnt/petrelfs/laizeqiang/mmseg-baseline/work_dirs2/ablation_segformer_mit_b2_segformer_head_unet_fc_single_step_ade_pretrained_freeze_embed_80k_ade20k151_mask by HardDiskBackend. +2023-03-04 12:26:14,612 - mmseg - INFO - Saving checkpoint at 8000 iterations +2023-03-04 12:26:15,283 - mmseg - INFO - Exp name: ablation_segformer_mit_b2_segformer_head_unet_fc_single_step_ade_pretrained_freeze_embed_80k_ade20k151_mask.py +2023-03-04 12:26:15,283 - mmseg - INFO - Iter [8000/80000] lr: 1.500e-04, eta: 262 days, 3:46:36, time: 6.292, data_time: 0.533, memory: 19870, decode.loss_ce: 0.1786, decode.acc_seg: 91.5033, loss: 0.1786 +2023-03-04 12:30:06,281 - mmseg - INFO - per class results: +2023-03-04 12:30:06,287 - mmseg - INFO - ++---------------------+-------+-------+ +| Class | IoU | Acc | ++---------------------+-------+-------+ +| background | nan | nan | +| wall | 75.48 | 85.12 | +| building | 80.89 | 90.76 | +| sky | 94.15 | 97.13 | +| floor | 80.09 | 91.07 | +| tree | 73.14 | 86.33 | +| ceiling | 81.51 | 94.96 | +| road | 80.47 | 88.3 | +| bed | 86.26 | 93.61 | +| windowpane | 58.79 | 74.88 | +| grass | 65.63 | 81.55 | +| cabinet | 57.61 | 66.92 | +| sidewalk | 61.69 | 80.91 | +| person | 77.96 | 91.84 | +| earth | 37.07 | 54.8 | +| door | 45.06 | 61.59 | +| table | 56.3 | 74.0 | +| mountain | 57.23 | 71.87 | +| plant | 48.35 | 57.42 | +| curtain | 70.95 | 86.64 | +| chair | 52.71 | 66.31 | +| car | 79.34 | 92.85 | +| water | 57.99 | 74.38 | +| painting | 69.47 | 85.59 | +| sofa | 61.56 | 79.74 | +| shelf | 41.78 | 57.45 | +| house | 42.99 | 66.99 | +| sea | 60.92 | 77.27 | +| mirror | 62.24 | 72.81 | +| rug | 61.65 | 72.08 | +| field | 30.11 | 45.73 | +| armchair | 35.2 | 50.92 | +| seat | 64.06 | 83.27 | +| fence | 41.06 | 55.87 | +| desk | 44.1 | 67.18 | +| rock | 36.65 | 60.42 | +| wardrobe | 55.48 | 68.04 | +| lamp | 56.27 | 73.96 | +| bathtub | 72.4 | 83.18 | +| railing | 32.69 | 53.25 | +| cushion | 53.0 | 73.95 | +| base | 17.48 | 20.35 | +| box | 20.53 | 25.15 | +| column | 42.86 | 58.77 | +| signboard | 36.01 | 47.89 | +| chest of drawers | 35.71 | 62.84 | +| counter | 30.76 | 41.39 | +| sand | 36.66 | 47.04 | +| sink | 63.08 | 76.73 | +| skyscraper | 53.56 | 68.43 | +| fireplace | 72.34 | 83.53 | +| refrigerator | 71.78 | 82.06 | +| grandstand | 47.43 | 65.79 | +| path | 23.57 | 33.78 | +| stairs | 32.43 | 39.04 | +| runway | 63.35 | 80.54 | +| case | 49.83 | 60.05 | +| pool table | 90.19 | 93.84 | +| pillow | 55.31 | 66.24 | +| screen door | 67.11 | 76.19 | +| stairway | 23.33 | 41.49 | +| river | 10.67 | 19.89 | +| bridge | 33.54 | 39.58 | +| bookcase | 37.25 | 78.62 | +| blind | 46.16 | 56.91 | +| coffee table | 50.0 | 79.66 | +| toilet | 81.62 | 88.88 | +| flower | 37.61 | 53.81 | +| book | 33.36 | 51.38 | +| hill | 12.06 | 15.37 | +| bench | 40.58 | 53.93 | +| countertop | 51.58 | 67.13 | +| stove | 67.93 | 84.23 | +| palm | 48.04 | 68.09 | +| kitchen island | 35.21 | 59.36 | +| computer | 58.81 | 68.39 | +| swivel chair | 37.11 | 47.08 | +| boat | 66.36 | 84.28 | +| bar | 23.84 | 33.68 | +| arcade machine | 71.8 | 75.5 | +| hovel | 24.19 | 26.48 | +| bus | 72.83 | 89.61 | +| towel | 58.02 | 66.16 | +| light | 49.51 | 57.68 | +| truck | 13.91 | 18.09 | +| tower | 8.44 | 13.16 | +| chandelier | 57.75 | 83.57 | +| awning | 21.88 | 30.12 | +| streetlight | 23.33 | 31.24 | +| booth | 36.05 | 37.06 | +| television receiver | 59.4 | 82.05 | +| airplane | 57.11 | 64.31 | +| dirt track | 10.33 | 20.06 | +| apparel | 33.63 | 55.39 | +| pole | 18.24 | 23.62 | +| land | 2.78 | 3.66 | +| bannister | 10.54 | 15.12 | +| escalator | 22.43 | 23.32 | +| ottoman | 38.16 | 57.67 | +| bottle | 34.37 | 58.43 | +| buffet | 43.91 | 51.55 | +| poster | 24.32 | 29.89 | +| stage | 12.57 | 15.89 | +| van | 37.37 | 46.11 | +| ship | 65.48 | 72.29 | +| fountain | 24.46 | 25.47 | +| conveyer belt | 75.41 | 92.01 | +| canopy | 20.43 | 24.3 | +| washer | 77.63 | 79.81 | +| plaything | 20.7 | 34.17 | +| swimming pool | 74.14 | 84.25 | +| stool | 37.15 | 50.65 | +| barrel | 24.05 | 55.56 | +| basket | 22.89 | 41.3 | +| waterfall | 52.11 | 84.85 | +| tent | 93.79 | 97.96 | +| bag | 14.19 | 18.2 | +| minibike | 55.32 | 70.25 | +| cradle | 81.89 | 96.29 | +| oven | 39.13 | 50.46 | +| ball | 51.19 | 61.97 | +| food | 50.08 | 58.17 | +| step | 10.35 | 14.59 | +| tank | 50.16 | 55.65 | +| trade name | 28.22 | 35.31 | +| microwave | 71.34 | 84.13 | +| pot | 31.49 | 40.74 | +| animal | 51.58 | 61.63 | +| bicycle | 51.99 | 67.84 | +| lake | 56.99 | 62.74 | +| dishwasher | 60.33 | 75.33 | +| screen | 65.83 | 83.36 | +| blanket | 16.31 | 19.74 | +| sculpture | 57.89 | 76.6 | +| hood | 52.06 | 70.38 | +| sconce | 40.95 | 52.76 | +| vase | 32.46 | 48.15 | +| traffic light | 31.17 | 44.1 | +| tray | 5.0 | 7.18 | +| ashcan | 40.6 | 47.06 | +| fan | 53.32 | 65.78 | +| pier | 28.86 | 67.06 | +| crt screen | 7.44 | 23.56 | +| plate | 47.36 | 73.59 | +| monitor | 8.18 | 9.08 | +| bulletin board | 32.71 | 37.13 | +| shower | 1.31 | 4.62 | +| radiator | 54.92 | 73.03 | +| glass | 10.89 | 11.97 | +| clock | 29.85 | 39.96 | +| flag | 32.34 | 35.26 | ++---------------------+-------+-------+ +2023-03-04 12:30:06,287 - mmseg - INFO - Summary: +2023-03-04 12:30:06,287 - mmseg - INFO - ++-------+-------+------+ +| aAcc | mIoU | mAcc | ++-------+-------+------+ +| 81.53 | 45.93 | 58.5 | ++-------+-------+------+ +2023-03-04 12:30:06,953 - mmseg - INFO - Now best checkpoint is saved as best_mIoU_iter_8000.pth. +2023-03-04 12:30:06,954 - mmseg - INFO - Best mIoU is 0.4593 at 8000 iter. +2023-03-04 12:30:06,954 - mmseg - INFO - Exp name: ablation_segformer_mit_b2_segformer_head_unet_fc_single_step_ade_pretrained_freeze_embed_80k_ade20k151_mask.py +2023-03-04 12:30:06,954 - mmseg - INFO - Iter(val) [250] aAcc: 0.8153, mIoU: 0.4593, mAcc: 0.5850, IoU.background: nan, IoU.wall: 0.7548, IoU.building: 0.8089, IoU.sky: 0.9415, IoU.floor: 0.8009, IoU.tree: 0.7314, IoU.ceiling: 0.8151, IoU.road: 0.8047, IoU.bed : 0.8626, IoU.windowpane: 0.5879, IoU.grass: 0.6563, IoU.cabinet: 0.5761, IoU.sidewalk: 0.6169, IoU.person: 0.7796, IoU.earth: 0.3707, IoU.door: 0.4506, IoU.table: 0.5630, IoU.mountain: 0.5723, IoU.plant: 0.4835, IoU.curtain: 0.7095, IoU.chair: 0.5271, IoU.car: 0.7934, IoU.water: 0.5799, IoU.painting: 0.6947, IoU.sofa: 0.6156, IoU.shelf: 0.4178, IoU.house: 0.4299, IoU.sea: 0.6092, IoU.mirror: 0.6224, IoU.rug: 0.6165, IoU.field: 0.3011, IoU.armchair: 0.3520, IoU.seat: 0.6406, IoU.fence: 0.4106, IoU.desk: 0.4410, IoU.rock: 0.3665, IoU.wardrobe: 0.5548, IoU.lamp: 0.5627, IoU.bathtub: 0.7240, IoU.railing: 0.3269, IoU.cushion: 0.5300, IoU.base: 0.1748, IoU.box: 0.2053, IoU.column: 0.4286, IoU.signboard: 0.3601, IoU.chest of drawers: 0.3571, IoU.counter: 0.3076, IoU.sand: 0.3666, IoU.sink: 0.6308, IoU.skyscraper: 0.5356, IoU.fireplace: 0.7234, IoU.refrigerator: 0.7178, IoU.grandstand: 0.4743, IoU.path: 0.2357, IoU.stairs: 0.3243, IoU.runway: 0.6335, IoU.case: 0.4983, IoU.pool table: 0.9019, IoU.pillow: 0.5531, IoU.screen door: 0.6711, IoU.stairway: 0.2333, IoU.river: 0.1067, IoU.bridge: 0.3354, IoU.bookcase: 0.3725, IoU.blind: 0.4616, IoU.coffee table: 0.5000, IoU.toilet: 0.8162, IoU.flower: 0.3761, IoU.book: 0.3336, IoU.hill: 0.1206, IoU.bench: 0.4058, IoU.countertop: 0.5158, IoU.stove: 0.6793, IoU.palm: 0.4804, IoU.kitchen island: 0.3521, IoU.computer: 0.5881, IoU.swivel chair: 0.3711, IoU.boat: 0.6636, IoU.bar: 0.2384, IoU.arcade machine: 0.7180, IoU.hovel: 0.2419, IoU.bus: 0.7283, IoU.towel: 0.5802, IoU.light: 0.4951, IoU.truck: 0.1391, IoU.tower: 0.0844, IoU.chandelier: 0.5775, IoU.awning: 0.2188, IoU.streetlight: 0.2333, IoU.booth: 0.3605, IoU.television receiver: 0.5940, IoU.airplane: 0.5711, IoU.dirt track: 0.1033, IoU.apparel: 0.3363, IoU.pole: 0.1824, IoU.land: 0.0278, IoU.bannister: 0.1054, IoU.escalator: 0.2243, IoU.ottoman: 0.3816, IoU.bottle: 0.3437, IoU.buffet: 0.4391, IoU.poster: 0.2432, IoU.stage: 0.1257, IoU.van: 0.3737, IoU.ship: 0.6548, IoU.fountain: 0.2446, IoU.conveyer belt: 0.7541, IoU.canopy: 0.2043, IoU.washer: 0.7763, IoU.plaything: 0.2070, IoU.swimming pool: 0.7414, IoU.stool: 0.3715, IoU.barrel: 0.2405, IoU.basket: 0.2289, IoU.waterfall: 0.5211, IoU.tent: 0.9379, IoU.bag: 0.1419, IoU.minibike: 0.5532, IoU.cradle: 0.8189, IoU.oven: 0.3913, IoU.ball: 0.5119, IoU.food: 0.5008, IoU.step: 0.1035, IoU.tank: 0.5016, IoU.trade name: 0.2822, IoU.microwave: 0.7134, IoU.pot: 0.3149, IoU.animal: 0.5158, IoU.bicycle: 0.5199, IoU.lake: 0.5699, IoU.dishwasher: 0.6033, IoU.screen: 0.6583, IoU.blanket: 0.1631, IoU.sculpture: 0.5789, IoU.hood: 0.5206, IoU.sconce: 0.4095, IoU.vase: 0.3246, IoU.traffic light: 0.3117, IoU.tray: 0.0500, IoU.ashcan: 0.4060, IoU.fan: 0.5332, IoU.pier: 0.2886, IoU.crt screen: 0.0744, IoU.plate: 0.4736, IoU.monitor: 0.0818, IoU.bulletin board: 0.3271, IoU.shower: 0.0131, IoU.radiator: 0.5492, IoU.glass: 0.1089, IoU.clock: 0.2985, IoU.flag: 0.3234, Acc.background: nan, Acc.wall: 0.8512, Acc.building: 0.9076, Acc.sky: 0.9713, Acc.floor: 0.9107, Acc.tree: 0.8633, Acc.ceiling: 0.9496, Acc.road: 0.8830, Acc.bed : 0.9361, Acc.windowpane: 0.7488, Acc.grass: 0.8155, Acc.cabinet: 0.6692, Acc.sidewalk: 0.8091, Acc.person: 0.9184, Acc.earth: 0.5480, Acc.door: 0.6159, Acc.table: 0.7400, Acc.mountain: 0.7187, Acc.plant: 0.5742, Acc.curtain: 0.8664, Acc.chair: 0.6631, Acc.car: 0.9285, Acc.water: 0.7438, Acc.painting: 0.8559, Acc.sofa: 0.7974, Acc.shelf: 0.5745, Acc.house: 0.6699, Acc.sea: 0.7727, Acc.mirror: 0.7281, Acc.rug: 0.7208, Acc.field: 0.4573, Acc.armchair: 0.5092, Acc.seat: 0.8327, Acc.fence: 0.5587, Acc.desk: 0.6718, Acc.rock: 0.6042, Acc.wardrobe: 0.6804, Acc.lamp: 0.7396, Acc.bathtub: 0.8318, Acc.railing: 0.5325, Acc.cushion: 0.7395, Acc.base: 0.2035, Acc.box: 0.2515, Acc.column: 0.5877, Acc.signboard: 0.4789, Acc.chest of drawers: 0.6284, Acc.counter: 0.4139, Acc.sand: 0.4704, Acc.sink: 0.7673, Acc.skyscraper: 0.6843, Acc.fireplace: 0.8353, Acc.refrigerator: 0.8206, Acc.grandstand: 0.6579, Acc.path: 0.3378, Acc.stairs: 0.3904, Acc.runway: 0.8054, Acc.case: 0.6005, Acc.pool table: 0.9384, Acc.pillow: 0.6624, Acc.screen door: 0.7619, Acc.stairway: 0.4149, Acc.river: 0.1989, Acc.bridge: 0.3958, Acc.bookcase: 0.7862, Acc.blind: 0.5691, Acc.coffee table: 0.7966, Acc.toilet: 0.8888, Acc.flower: 0.5381, Acc.book: 0.5138, Acc.hill: 0.1537, Acc.bench: 0.5393, Acc.countertop: 0.6713, Acc.stove: 0.8423, Acc.palm: 0.6809, Acc.kitchen island: 0.5936, Acc.computer: 0.6839, Acc.swivel chair: 0.4708, Acc.boat: 0.8428, Acc.bar: 0.3368, Acc.arcade machine: 0.7550, Acc.hovel: 0.2648, Acc.bus: 0.8961, Acc.towel: 0.6616, Acc.light: 0.5768, Acc.truck: 0.1809, Acc.tower: 0.1316, Acc.chandelier: 0.8357, Acc.awning: 0.3012, Acc.streetlight: 0.3124, Acc.booth: 0.3706, Acc.television receiver: 0.8205, Acc.airplane: 0.6431, Acc.dirt track: 0.2006, Acc.apparel: 0.5539, Acc.pole: 0.2362, Acc.land: 0.0366, Acc.bannister: 0.1512, Acc.escalator: 0.2332, Acc.ottoman: 0.5767, Acc.bottle: 0.5843, Acc.buffet: 0.5155, Acc.poster: 0.2989, Acc.stage: 0.1589, Acc.van: 0.4611, Acc.ship: 0.7229, Acc.fountain: 0.2547, Acc.conveyer belt: 0.9201, Acc.canopy: 0.2430, Acc.washer: 0.7981, Acc.plaything: 0.3417, Acc.swimming pool: 0.8425, Acc.stool: 0.5065, Acc.barrel: 0.5556, Acc.basket: 0.4130, Acc.waterfall: 0.8485, Acc.tent: 0.9796, Acc.bag: 0.1820, Acc.minibike: 0.7025, Acc.cradle: 0.9629, Acc.oven: 0.5046, Acc.ball: 0.6197, Acc.food: 0.5817, Acc.step: 0.1459, Acc.tank: 0.5565, Acc.trade name: 0.3531, Acc.microwave: 0.8413, Acc.pot: 0.4074, Acc.animal: 0.6163, Acc.bicycle: 0.6784, Acc.lake: 0.6274, Acc.dishwasher: 0.7533, Acc.screen: 0.8336, Acc.blanket: 0.1974, Acc.sculpture: 0.7660, Acc.hood: 0.7038, Acc.sconce: 0.5276, Acc.vase: 0.4815, Acc.traffic light: 0.4410, Acc.tray: 0.0718, Acc.ashcan: 0.4706, Acc.fan: 0.6578, Acc.pier: 0.6706, Acc.crt screen: 0.2356, Acc.plate: 0.7359, Acc.monitor: 0.0908, Acc.bulletin board: 0.3713, Acc.shower: 0.0462, Acc.radiator: 0.7303, Acc.glass: 0.1197, Acc.clock: 0.3996, Acc.flag: 0.3526 +2023-03-04 12:30:17,045 - mmseg - INFO - Iter [8050/80000] lr: 1.500e-04, eta: 9 days, 2:01:09, time: 4.835, data_time: 4.640, memory: 52403, decode.loss_ce: 0.2351, decode.acc_seg: 90.5258, loss: 0.2351 +2023-03-04 12:30:26,159 - mmseg - INFO - Iter [8100/80000] lr: 1.500e-04, eta: 4 days, 15:49:02, time: 0.183, data_time: 0.007, memory: 52403, decode.loss_ce: 0.2191, decode.acc_seg: 90.9858, loss: 0.2191 +2023-03-04 12:30:35,631 - mmseg - INFO - Iter [8150/80000] lr: 1.500e-04, eta: 3 days, 3:59:30, time: 0.189, data_time: 0.007, memory: 52403, decode.loss_ce: 0.2308, decode.acc_seg: 90.5657, loss: 0.2308 +2023-03-04 12:30:44,807 - mmseg - INFO - Iter [8200/80000] lr: 1.500e-04, eta: 2 days, 9:57:28, time: 0.183, data_time: 0.006, memory: 52403, decode.loss_ce: 0.2506, decode.acc_seg: 89.9352, loss: 0.2506 +2023-03-04 12:30:54,207 - mmseg - INFO - Iter [8250/80000] lr: 1.500e-04, eta: 1 day, 23:07:38, time: 0.188, data_time: 0.007, memory: 52403, decode.loss_ce: 0.2364, decode.acc_seg: 90.3759, loss: 0.2364 +2023-03-04 12:31:02,860 - mmseg - INFO - Iter [8300/80000] lr: 1.500e-04, eta: 1 day, 15:50:35, time: 0.173, data_time: 0.006, memory: 52403, decode.loss_ce: 0.2435, decode.acc_seg: 90.2294, loss: 0.2435 +2023-03-04 12:31:11,951 - mmseg - INFO - Iter [8350/80000] lr: 1.500e-04, eta: 1 day, 10:39:35, time: 0.182, data_time: 0.007, memory: 52403, decode.loss_ce: 0.2397, decode.acc_seg: 90.5355, loss: 0.2397 +2023-03-04 12:31:20,933 - mmseg - INFO - Iter [8400/80000] lr: 1.500e-04, eta: 1 day, 6:45:45, time: 0.180, data_time: 0.006, memory: 52403, decode.loss_ce: 0.2252, decode.acc_seg: 90.6968, loss: 0.2252 +2023-03-04 12:31:30,105 - mmseg - INFO - Iter [8450/80000] lr: 1.500e-04, eta: 1 day, 3:44:13, time: 0.183, data_time: 0.007, memory: 52403, decode.loss_ce: 0.2317, decode.acc_seg: 90.6442, loss: 0.2317 +2023-03-04 12:31:39,236 - mmseg - INFO - Iter [8500/80000] lr: 1.500e-04, eta: 1 day, 1:18:46, time: 0.182, data_time: 0.007, memory: 52403, decode.loss_ce: 0.2361, decode.acc_seg: 90.3837, loss: 0.2361 +2023-03-04 12:31:47,982 - mmseg - INFO - Iter [8550/80000] lr: 1.500e-04, eta: 23:18:53, time: 0.175, data_time: 0.007, memory: 52403, decode.loss_ce: 0.2224, decode.acc_seg: 90.8649, loss: 0.2224 +2023-03-04 12:31:57,057 - mmseg - INFO - Iter [8600/80000] lr: 1.500e-04, eta: 21:39:36, time: 0.182, data_time: 0.007, memory: 52403, decode.loss_ce: 0.2291, decode.acc_seg: 90.6181, loss: 0.2291 +2023-03-04 12:32:08,232 - mmseg - INFO - Iter [8650/80000] lr: 1.500e-04, eta: 20:19:21, time: 0.223, data_time: 0.055, memory: 52403, decode.loss_ce: 0.2335, decode.acc_seg: 90.5176, loss: 0.2335 +2023-03-04 12:32:17,087 - mmseg - INFO - Iter [8700/80000] lr: 1.500e-04, eta: 19:06:36, time: 0.177, data_time: 0.007, memory: 52403, decode.loss_ce: 0.2249, decode.acc_seg: 90.8250, loss: 0.2249 +2023-03-04 12:32:25,869 - mmseg - INFO - Iter [8750/80000] lr: 1.500e-04, eta: 18:03:23, time: 0.175, data_time: 0.006, memory: 52403, decode.loss_ce: 0.2380, decode.acc_seg: 90.2980, loss: 0.2380 +2023-03-04 12:32:34,903 - mmseg - INFO - Iter [8800/80000] lr: 1.500e-04, eta: 17:08:26, time: 0.181, data_time: 0.007, memory: 52403, decode.loss_ce: 0.2237, decode.acc_seg: 90.7110, loss: 0.2237 +2023-03-04 12:32:43,734 - mmseg - INFO - Iter [8850/80000] lr: 1.500e-04, eta: 16:19:38, time: 0.177, data_time: 0.007, memory: 52403, decode.loss_ce: 0.2212, decode.acc_seg: 90.9923, loss: 0.2212 +2023-03-04 12:32:52,521 - mmseg - INFO - Iter [8900/80000] lr: 1.500e-04, eta: 15:36:11, time: 0.176, data_time: 0.007, memory: 52403, decode.loss_ce: 0.2275, decode.acc_seg: 90.6902, loss: 0.2275 +2023-03-04 12:33:01,574 - mmseg - INFO - Iter [8950/80000] lr: 1.500e-04, eta: 14:57:36, time: 0.181, data_time: 0.007, memory: 52403, decode.loss_ce: 0.2343, decode.acc_seg: 90.3780, loss: 0.2343 +2023-03-04 12:33:10,437 - mmseg - INFO - Exp name: ablation_segformer_mit_b2_segformer_head_unet_fc_single_step_ade_pretrained_freeze_embed_80k_ade20k151_mask.py +2023-03-04 12:33:10,438 - mmseg - INFO - Iter [9000/80000] lr: 1.500e-04, eta: 14:22:39, time: 0.177, data_time: 0.007, memory: 52403, decode.loss_ce: 0.2338, decode.acc_seg: 90.5482, loss: 0.2338 +2023-03-04 12:33:19,524 - mmseg - INFO - Iter [9050/80000] lr: 1.500e-04, eta: 13:51:15, time: 0.182, data_time: 0.007, memory: 52403, decode.loss_ce: 0.2333, decode.acc_seg: 90.5324, loss: 0.2333 +2023-03-04 12:33:28,405 - mmseg - INFO - Iter [9100/80000] lr: 1.500e-04, eta: 13:22:29, time: 0.178, data_time: 0.007, memory: 52403, decode.loss_ce: 0.2247, decode.acc_seg: 90.7191, loss: 0.2247 +2023-03-04 12:33:37,370 - mmseg - INFO - Iter [9150/80000] lr: 1.500e-04, eta: 12:56:16, time: 0.179, data_time: 0.007, memory: 52403, decode.loss_ce: 0.2321, decode.acc_seg: 90.5515, loss: 0.2321 +2023-03-04 12:33:46,399 - mmseg - INFO - Iter [9200/80000] lr: 1.500e-04, eta: 12:32:18, time: 0.181, data_time: 0.007, memory: 52403, decode.loss_ce: 0.2274, decode.acc_seg: 90.7200, loss: 0.2274 +2023-03-04 12:33:55,497 - mmseg - INFO - Iter [9250/80000] lr: 1.500e-04, eta: 12:10:18, time: 0.182, data_time: 0.007, memory: 52403, decode.loss_ce: 0.2299, decode.acc_seg: 90.7085, loss: 0.2299 +2023-03-04 12:34:07,420 - mmseg - INFO - Iter [9300/80000] lr: 1.500e-04, eta: 11:52:32, time: 0.238, data_time: 0.051, memory: 52403, decode.loss_ce: 0.2268, decode.acc_seg: 90.8611, loss: 0.2268 +2023-03-04 12:34:16,025 - mmseg - INFO - Iter [9350/80000] lr: 1.500e-04, eta: 11:33:10, time: 0.172, data_time: 0.007, memory: 52403, decode.loss_ce: 0.2294, decode.acc_seg: 90.7571, loss: 0.2294 +2023-03-04 12:34:24,860 - mmseg - INFO - Iter [9400/80000] lr: 1.500e-04, eta: 11:15:22, time: 0.176, data_time: 0.007, memory: 52403, decode.loss_ce: 0.2321, decode.acc_seg: 90.4776, loss: 0.2321 +2023-03-04 12:34:34,170 - mmseg - INFO - Iter [9450/80000] lr: 1.500e-04, eta: 10:59:11, time: 0.186, data_time: 0.007, memory: 52403, decode.loss_ce: 0.2312, decode.acc_seg: 90.5208, loss: 0.2312 +2023-03-04 12:34:42,847 - mmseg - INFO - Iter [9500/80000] lr: 1.500e-04, eta: 10:43:34, time: 0.174, data_time: 0.007, memory: 52403, decode.loss_ce: 0.2362, decode.acc_seg: 90.3839, loss: 0.2362 +2023-03-04 12:34:52,099 - mmseg - INFO - Iter [9550/80000] lr: 1.500e-04, eta: 10:29:23, time: 0.185, data_time: 0.007, memory: 52403, decode.loss_ce: 0.2303, decode.acc_seg: 90.5815, loss: 0.2303 +2023-03-04 12:35:01,319 - mmseg - INFO - Iter [9600/80000] lr: 1.500e-04, eta: 10:16:03, time: 0.184, data_time: 0.007, memory: 52403, decode.loss_ce: 0.2152, decode.acc_seg: 91.3131, loss: 0.2152 +2023-03-04 12:35:10,413 - mmseg - INFO - Iter [9650/80000] lr: 1.500e-04, eta: 10:03:26, time: 0.182, data_time: 0.007, memory: 52403, decode.loss_ce: 0.2240, decode.acc_seg: 90.8489, loss: 0.2240 +2023-03-04 12:35:19,233 - mmseg - INFO - Iter [9700/80000] lr: 1.500e-04, eta: 9:51:21, time: 0.176, data_time: 0.007, memory: 52403, decode.loss_ce: 0.2334, decode.acc_seg: 90.4882, loss: 0.2334 +2023-03-04 12:35:27,951 - mmseg - INFO - Iter [9750/80000] lr: 1.500e-04, eta: 9:39:53, time: 0.174, data_time: 0.007, memory: 52403, decode.loss_ce: 0.2300, decode.acc_seg: 90.7954, loss: 0.2300 +2023-03-04 12:35:37,291 - mmseg - INFO - Iter [9800/80000] lr: 1.500e-04, eta: 9:29:27, time: 0.187, data_time: 0.006, memory: 52403, decode.loss_ce: 0.2249, decode.acc_seg: 90.6391, loss: 0.2249 +2023-03-04 12:35:46,183 - mmseg - INFO - Iter [9850/80000] lr: 1.500e-04, eta: 9:19:17, time: 0.178, data_time: 0.007, memory: 52403, decode.loss_ce: 0.2311, decode.acc_seg: 90.5298, loss: 0.2311 +2023-03-04 12:35:57,901 - mmseg - INFO - Iter [9900/80000] lr: 1.500e-04, eta: 9:11:24, time: 0.235, data_time: 0.057, memory: 52403, decode.loss_ce: 0.2297, decode.acc_seg: 90.6676, loss: 0.2297 +2023-03-04 12:36:06,806 - mmseg - INFO - Iter [9950/80000] lr: 1.500e-04, eta: 9:02:13, time: 0.178, data_time: 0.006, memory: 52403, decode.loss_ce: 0.2375, decode.acc_seg: 90.3545, loss: 0.2375 +2023-03-04 12:36:15,497 - mmseg - INFO - Exp name: ablation_segformer_mit_b2_segformer_head_unet_fc_single_step_ade_pretrained_freeze_embed_80k_ade20k151_mask.py +2023-03-04 12:36:15,498 - mmseg - INFO - Iter [10000/80000] lr: 1.500e-04, eta: 8:53:21, time: 0.174, data_time: 0.007, memory: 52403, decode.loss_ce: 0.2258, decode.acc_seg: 90.8431, loss: 0.2258 +2023-03-04 12:36:24,477 - mmseg - INFO - Iter [10050/80000] lr: 7.500e-05, eta: 8:45:05, time: 0.180, data_time: 0.007, memory: 52403, decode.loss_ce: 0.2129, decode.acc_seg: 91.1262, loss: 0.2129 +2023-03-04 12:36:33,631 - mmseg - INFO - Iter [10100/80000] lr: 7.500e-05, eta: 8:37:18, time: 0.183, data_time: 0.007, memory: 52403, decode.loss_ce: 0.2228, decode.acc_seg: 91.0076, loss: 0.2228 +2023-03-04 12:36:42,746 - mmseg - INFO - Iter [10150/80000] lr: 7.500e-05, eta: 8:29:50, time: 0.182, data_time: 0.007, memory: 52403, decode.loss_ce: 0.2113, decode.acc_seg: 91.3031, loss: 0.2113 +2023-03-04 12:36:51,323 - mmseg - INFO - Iter [10200/80000] lr: 7.500e-05, eta: 8:22:26, time: 0.172, data_time: 0.007, memory: 52403, decode.loss_ce: 0.2186, decode.acc_seg: 91.1918, loss: 0.2186 +2023-03-04 12:37:00,783 - mmseg - INFO - Iter [10250/80000] lr: 7.500e-05, eta: 8:15:49, time: 0.189, data_time: 0.007, memory: 52403, decode.loss_ce: 0.2175, decode.acc_seg: 91.1390, loss: 0.2175 +2023-03-04 12:37:09,864 - mmseg - INFO - Iter [10300/80000] lr: 7.500e-05, eta: 8:09:16, time: 0.182, data_time: 0.007, memory: 52403, decode.loss_ce: 0.2171, decode.acc_seg: 91.1028, loss: 0.2171 +2023-03-04 12:37:18,764 - mmseg - INFO - Iter [10350/80000] lr: 7.500e-05, eta: 8:02:55, time: 0.178, data_time: 0.007, memory: 52403, decode.loss_ce: 0.2170, decode.acc_seg: 91.1114, loss: 0.2170 +2023-03-04 12:37:27,564 - mmseg - INFO - Iter [10400/80000] lr: 7.500e-05, eta: 7:56:46, time: 0.176, data_time: 0.007, memory: 52403, decode.loss_ce: 0.2174, decode.acc_seg: 90.8543, loss: 0.2174 +2023-03-04 12:37:36,422 - mmseg - INFO - Iter [10450/80000] lr: 7.500e-05, eta: 7:50:54, time: 0.177, data_time: 0.006, memory: 52403, decode.loss_ce: 0.2245, decode.acc_seg: 90.9000, loss: 0.2245 +2023-03-04 12:37:45,178 - mmseg - INFO - Iter [10500/80000] lr: 7.500e-05, eta: 7:45:12, time: 0.175, data_time: 0.007, memory: 52403, decode.loss_ce: 0.2301, decode.acc_seg: 90.6147, loss: 0.2301 +2023-03-04 12:37:56,766 - mmseg - INFO - Iter [10550/80000] lr: 7.500e-05, eta: 7:41:01, time: 0.232, data_time: 0.054, memory: 52403, decode.loss_ce: 0.2063, decode.acc_seg: 91.5741, loss: 0.2063 +2023-03-04 12:38:05,520 - mmseg - INFO - Iter [10600/80000] lr: 7.500e-05, eta: 7:35:43, time: 0.175, data_time: 0.006, memory: 52403, decode.loss_ce: 0.2167, decode.acc_seg: 91.0434, loss: 0.2167 +2023-03-04 12:38:14,275 - mmseg - INFO - Iter [10650/80000] lr: 7.500e-05, eta: 7:30:37, time: 0.175, data_time: 0.007, memory: 52403, decode.loss_ce: 0.2181, decode.acc_seg: 91.0714, loss: 0.2181 +2023-03-04 12:38:23,234 - mmseg - INFO - Iter [10700/80000] lr: 7.500e-05, eta: 7:25:47, time: 0.179, data_time: 0.007, memory: 52403, decode.loss_ce: 0.2141, decode.acc_seg: 91.2133, loss: 0.2141 +2023-03-04 12:38:32,327 - mmseg - INFO - Iter [10750/80000] lr: 7.500e-05, eta: 7:21:11, time: 0.182, data_time: 0.007, memory: 52403, decode.loss_ce: 0.2244, decode.acc_seg: 90.8300, loss: 0.2244 +2023-03-04 12:38:41,627 - mmseg - INFO - Iter [10800/80000] lr: 7.500e-05, eta: 7:16:50, time: 0.186, data_time: 0.007, memory: 52403, decode.loss_ce: 0.2096, decode.acc_seg: 91.2679, loss: 0.2096 +2023-03-04 12:38:50,252 - mmseg - INFO - Iter [10850/80000] lr: 7.500e-05, eta: 7:12:21, time: 0.173, data_time: 0.007, memory: 52403, decode.loss_ce: 0.2239, decode.acc_seg: 90.9588, loss: 0.2239 +2023-03-04 12:38:58,936 - mmseg - INFO - Iter [10900/80000] lr: 7.500e-05, eta: 7:08:02, time: 0.174, data_time: 0.007, memory: 52403, decode.loss_ce: 0.2171, decode.acc_seg: 91.1087, loss: 0.2171 +2023-03-04 12:39:08,115 - mmseg - INFO - Iter [10950/80000] lr: 7.500e-05, eta: 7:04:03, time: 0.184, data_time: 0.006, memory: 52403, decode.loss_ce: 0.2219, decode.acc_seg: 91.0905, loss: 0.2219 +2023-03-04 12:39:16,978 - mmseg - INFO - Exp name: ablation_segformer_mit_b2_segformer_head_unet_fc_single_step_ade_pretrained_freeze_embed_80k_ade20k151_mask.py +2023-03-04 12:39:16,978 - mmseg - INFO - Iter [11000/80000] lr: 7.500e-05, eta: 7:00:05, time: 0.177, data_time: 0.007, memory: 52403, decode.loss_ce: 0.2178, decode.acc_seg: 91.1533, loss: 0.2178 +2023-03-04 12:39:25,717 - mmseg - INFO - Iter [11050/80000] lr: 7.500e-05, eta: 6:56:12, time: 0.175, data_time: 0.007, memory: 52403, decode.loss_ce: 0.2142, decode.acc_seg: 91.2575, loss: 0.2142 +2023-03-04 12:39:34,292 - mmseg - INFO - Iter [11100/80000] lr: 7.500e-05, eta: 6:52:22, time: 0.172, data_time: 0.007, memory: 52403, decode.loss_ce: 0.2090, decode.acc_seg: 91.4849, loss: 0.2090 +2023-03-04 12:39:43,967 - mmseg - INFO - Iter [11150/80000] lr: 7.500e-05, eta: 6:49:03, time: 0.194, data_time: 0.007, memory: 52403, decode.loss_ce: 0.2207, decode.acc_seg: 90.8234, loss: 0.2207 +2023-03-04 12:39:55,317 - mmseg - INFO - Iter [11200/80000] lr: 7.500e-05, eta: 6:46:26, time: 0.227, data_time: 0.055, memory: 52403, decode.loss_ce: 0.2152, decode.acc_seg: 91.1999, loss: 0.2152 +2023-03-04 12:40:04,044 - mmseg - INFO - Iter [11250/80000] lr: 7.500e-05, eta: 6:42:58, time: 0.175, data_time: 0.007, memory: 52403, decode.loss_ce: 0.2138, decode.acc_seg: 91.5032, loss: 0.2138 +2023-03-04 12:40:12,913 - mmseg - INFO - Iter [11300/80000] lr: 7.500e-05, eta: 6:39:39, time: 0.177, data_time: 0.007, memory: 52403, decode.loss_ce: 0.2222, decode.acc_seg: 90.9372, loss: 0.2222 +2023-03-04 12:40:21,585 - mmseg - INFO - Iter [11350/80000] lr: 7.500e-05, eta: 6:36:22, time: 0.174, data_time: 0.007, memory: 52403, decode.loss_ce: 0.2222, decode.acc_seg: 90.8098, loss: 0.2222 +2023-03-04 12:40:30,172 - mmseg - INFO - Iter [11400/80000] lr: 7.500e-05, eta: 6:33:08, time: 0.172, data_time: 0.007, memory: 52403, decode.loss_ce: 0.2191, decode.acc_seg: 90.9984, loss: 0.2191 +2023-03-04 12:40:39,396 - mmseg - INFO - Iter [11450/80000] lr: 7.500e-05, eta: 6:30:12, time: 0.184, data_time: 0.006, memory: 52403, decode.loss_ce: 0.1998, decode.acc_seg: 91.7657, loss: 0.1998 +2023-03-04 12:40:48,698 - mmseg - INFO - Iter [11500/80000] lr: 7.500e-05, eta: 6:27:23, time: 0.186, data_time: 0.007, memory: 52403, decode.loss_ce: 0.2199, decode.acc_seg: 91.1034, loss: 0.2199 +2023-03-04 12:40:57,715 - mmseg - INFO - Iter [11550/80000] lr: 7.500e-05, eta: 6:24:33, time: 0.180, data_time: 0.007, memory: 52403, decode.loss_ce: 0.2185, decode.acc_seg: 91.0654, loss: 0.2185 +2023-03-04 12:41:07,243 - mmseg - INFO - Iter [11600/80000] lr: 7.500e-05, eta: 6:21:57, time: 0.191, data_time: 0.006, memory: 52403, decode.loss_ce: 0.2237, decode.acc_seg: 90.9083, loss: 0.2237 +2023-03-04 12:41:15,757 - mmseg - INFO - Iter [11650/80000] lr: 7.500e-05, eta: 6:19:06, time: 0.170, data_time: 0.007, memory: 52403, decode.loss_ce: 0.2150, decode.acc_seg: 91.0923, loss: 0.2150 +2023-03-04 12:41:25,164 - mmseg - INFO - Iter [11700/80000] lr: 7.500e-05, eta: 6:16:36, time: 0.188, data_time: 0.007, memory: 52403, decode.loss_ce: 0.2128, decode.acc_seg: 91.2731, loss: 0.2128 +2023-03-04 12:41:33,980 - mmseg - INFO - Iter [11750/80000] lr: 7.500e-05, eta: 6:13:59, time: 0.176, data_time: 0.007, memory: 52403, decode.loss_ce: 0.2216, decode.acc_seg: 91.0306, loss: 0.2216 +2023-03-04 12:41:45,319 - mmseg - INFO - Iter [11800/80000] lr: 7.500e-05, eta: 6:12:11, time: 0.227, data_time: 0.053, memory: 52403, decode.loss_ce: 0.2156, decode.acc_seg: 91.2045, loss: 0.2156 +2023-03-04 12:41:54,105 - mmseg - INFO - Iter [11850/80000] lr: 7.500e-05, eta: 6:09:40, time: 0.176, data_time: 0.007, memory: 52403, decode.loss_ce: 0.2229, decode.acc_seg: 90.8804, loss: 0.2229 +2023-03-04 12:42:02,790 - mmseg - INFO - Iter [11900/80000] lr: 7.500e-05, eta: 6:07:12, time: 0.174, data_time: 0.007, memory: 52403, decode.loss_ce: 0.2028, decode.acc_seg: 91.5983, loss: 0.2028 +2023-03-04 12:42:11,347 - mmseg - INFO - Iter [11950/80000] lr: 7.500e-05, eta: 6:04:44, time: 0.171, data_time: 0.007, memory: 52403, decode.loss_ce: 0.2247, decode.acc_seg: 91.0085, loss: 0.2247 +2023-03-04 12:42:20,072 - mmseg - INFO - Exp name: ablation_segformer_mit_b2_segformer_head_unet_fc_single_step_ade_pretrained_freeze_embed_80k_ade20k151_mask.py +2023-03-04 12:42:20,072 - mmseg - INFO - Iter [12000/80000] lr: 7.500e-05, eta: 6:02:23, time: 0.174, data_time: 0.007, memory: 52403, decode.loss_ce: 0.2145, decode.acc_seg: 91.2110, loss: 0.2145 +2023-03-04 12:42:28,819 - mmseg - INFO - Iter [12050/80000] lr: 7.500e-05, eta: 6:00:06, time: 0.175, data_time: 0.007, memory: 52403, decode.loss_ce: 0.2147, decode.acc_seg: 91.1330, loss: 0.2147 +2023-03-04 12:42:37,692 - mmseg - INFO - Iter [12100/80000] lr: 7.500e-05, eta: 5:57:53, time: 0.177, data_time: 0.007, memory: 52403, decode.loss_ce: 0.2021, decode.acc_seg: 91.7394, loss: 0.2021 +2023-03-04 12:42:46,589 - mmseg - INFO - Iter [12150/80000] lr: 7.500e-05, eta: 5:55:44, time: 0.178, data_time: 0.007, memory: 52403, decode.loss_ce: 0.2083, decode.acc_seg: 91.3748, loss: 0.2083 +2023-03-04 12:42:55,560 - mmseg - INFO - Iter [12200/80000] lr: 7.500e-05, eta: 5:53:40, time: 0.179, data_time: 0.007, memory: 52403, decode.loss_ce: 0.2096, decode.acc_seg: 91.2691, loss: 0.2096 +2023-03-04 12:43:04,154 - mmseg - INFO - Iter [12250/80000] lr: 7.500e-05, eta: 5:51:32, time: 0.172, data_time: 0.007, memory: 52403, decode.loss_ce: 0.2090, decode.acc_seg: 91.4573, loss: 0.2090 +2023-03-04 12:43:13,404 - mmseg - INFO - Iter [12300/80000] lr: 7.500e-05, eta: 5:49:36, time: 0.185, data_time: 0.007, memory: 52403, decode.loss_ce: 0.2128, decode.acc_seg: 91.2527, loss: 0.2128 +2023-03-04 12:43:22,756 - mmseg - INFO - Iter [12350/80000] lr: 7.500e-05, eta: 5:47:45, time: 0.187, data_time: 0.007, memory: 52403, decode.loss_ce: 0.2188, decode.acc_seg: 91.1549, loss: 0.2188 +2023-03-04 12:43:31,898 - mmseg - INFO - Iter [12400/80000] lr: 7.500e-05, eta: 5:45:54, time: 0.183, data_time: 0.007, memory: 52403, decode.loss_ce: 0.2153, decode.acc_seg: 91.1291, loss: 0.2153 +2023-03-04 12:43:43,165 - mmseg - INFO - Iter [12450/80000] lr: 7.500e-05, eta: 5:44:36, time: 0.225, data_time: 0.055, memory: 52403, decode.loss_ce: 0.2235, decode.acc_seg: 90.9401, loss: 0.2235 +2023-03-04 12:43:52,291 - mmseg - INFO - Iter [12500/80000] lr: 7.500e-05, eta: 5:42:48, time: 0.182, data_time: 0.006, memory: 52403, decode.loss_ce: 0.2205, decode.acc_seg: 90.9332, loss: 0.2205 +2023-03-04 12:44:01,409 - mmseg - INFO - Iter [12550/80000] lr: 7.500e-05, eta: 5:41:03, time: 0.183, data_time: 0.007, memory: 52403, decode.loss_ce: 0.2129, decode.acc_seg: 91.2310, loss: 0.2129 +2023-03-04 12:44:10,523 - mmseg - INFO - Iter [12600/80000] lr: 7.500e-05, eta: 5:39:18, time: 0.182, data_time: 0.007, memory: 52403, decode.loss_ce: 0.2151, decode.acc_seg: 91.2860, loss: 0.2151 +2023-03-04 12:44:19,441 - mmseg - INFO - Iter [12650/80000] lr: 7.500e-05, eta: 5:37:34, time: 0.179, data_time: 0.007, memory: 52403, decode.loss_ce: 0.2183, decode.acc_seg: 91.0924, loss: 0.2183 +2023-03-04 12:44:28,648 - mmseg - INFO - Iter [12700/80000] lr: 7.500e-05, eta: 5:35:55, time: 0.184, data_time: 0.007, memory: 52403, decode.loss_ce: 0.2118, decode.acc_seg: 91.3085, loss: 0.2118 +2023-03-04 12:44:37,281 - mmseg - INFO - Iter [12750/80000] lr: 7.500e-05, eta: 5:34:11, time: 0.173, data_time: 0.007, memory: 52403, decode.loss_ce: 0.2189, decode.acc_seg: 90.9514, loss: 0.2189 +2023-03-04 12:44:46,075 - mmseg - INFO - Iter [12800/80000] lr: 7.500e-05, eta: 5:32:30, time: 0.176, data_time: 0.007, memory: 52403, decode.loss_ce: 0.2107, decode.acc_seg: 91.3537, loss: 0.2107 +2023-03-04 12:44:55,329 - mmseg - INFO - Iter [12850/80000] lr: 7.500e-05, eta: 5:30:58, time: 0.185, data_time: 0.007, memory: 52403, decode.loss_ce: 0.2220, decode.acc_seg: 90.9603, loss: 0.2220 +2023-03-04 12:45:04,999 - mmseg - INFO - Iter [12900/80000] lr: 7.500e-05, eta: 5:29:33, time: 0.193, data_time: 0.007, memory: 52403, decode.loss_ce: 0.2208, decode.acc_seg: 90.8251, loss: 0.2208 +2023-03-04 12:45:14,184 - mmseg - INFO - Iter [12950/80000] lr: 7.500e-05, eta: 5:28:03, time: 0.184, data_time: 0.006, memory: 52403, decode.loss_ce: 0.2171, decode.acc_seg: 91.0718, loss: 0.2171 +2023-03-04 12:45:22,974 - mmseg - INFO - Exp name: ablation_segformer_mit_b2_segformer_head_unet_fc_single_step_ade_pretrained_freeze_embed_80k_ade20k151_mask.py +2023-03-04 12:45:22,974 - mmseg - INFO - Iter [13000/80000] lr: 7.500e-05, eta: 5:26:30, time: 0.176, data_time: 0.007, memory: 52403, decode.loss_ce: 0.2140, decode.acc_seg: 91.4005, loss: 0.2140 +2023-03-04 12:45:34,975 - mmseg - INFO - Iter [13050/80000] lr: 7.500e-05, eta: 5:25:40, time: 0.240, data_time: 0.057, memory: 52403, decode.loss_ce: 0.2101, decode.acc_seg: 91.5368, loss: 0.2101 +2023-03-04 12:45:43,983 - mmseg - INFO - Iter [13100/80000] lr: 7.500e-05, eta: 5:24:12, time: 0.180, data_time: 0.007, memory: 52403, decode.loss_ce: 0.2145, decode.acc_seg: 91.1994, loss: 0.2145 +2023-03-04 12:45:52,968 - mmseg - INFO - Iter [13150/80000] lr: 7.500e-05, eta: 5:22:46, time: 0.180, data_time: 0.007, memory: 52403, decode.loss_ce: 0.2167, decode.acc_seg: 91.1074, loss: 0.2167 +2023-03-04 12:46:01,569 - mmseg - INFO - Iter [13200/80000] lr: 7.500e-05, eta: 5:21:16, time: 0.172, data_time: 0.007, memory: 52403, decode.loss_ce: 0.2182, decode.acc_seg: 91.0652, loss: 0.2182 +2023-03-04 12:46:10,339 - mmseg - INFO - Iter [13250/80000] lr: 7.500e-05, eta: 5:19:49, time: 0.175, data_time: 0.007, memory: 52403, decode.loss_ce: 0.2128, decode.acc_seg: 91.3827, loss: 0.2128 +2023-03-04 12:46:19,633 - mmseg - INFO - Iter [13300/80000] lr: 7.500e-05, eta: 5:18:31, time: 0.186, data_time: 0.007, memory: 52403, decode.loss_ce: 0.2154, decode.acc_seg: 91.0681, loss: 0.2154 +2023-03-04 12:46:28,714 - mmseg - INFO - Iter [13350/80000] lr: 7.500e-05, eta: 5:17:11, time: 0.182, data_time: 0.007, memory: 52403, decode.loss_ce: 0.2139, decode.acc_seg: 91.1281, loss: 0.2139 +2023-03-04 12:46:38,173 - mmseg - INFO - Iter [13400/80000] lr: 7.500e-05, eta: 5:15:58, time: 0.189, data_time: 0.006, memory: 52403, decode.loss_ce: 0.2127, decode.acc_seg: 91.2547, loss: 0.2127 +2023-03-04 12:46:47,080 - mmseg - INFO - Iter [13450/80000] lr: 7.500e-05, eta: 5:14:39, time: 0.178, data_time: 0.007, memory: 52403, decode.loss_ce: 0.2188, decode.acc_seg: 91.0340, loss: 0.2188 +2023-03-04 12:46:55,865 - mmseg - INFO - Iter [13500/80000] lr: 7.500e-05, eta: 5:13:19, time: 0.176, data_time: 0.007, memory: 52403, decode.loss_ce: 0.2133, decode.acc_seg: 91.3056, loss: 0.2133 +2023-03-04 12:47:04,594 - mmseg - INFO - Iter [13550/80000] lr: 7.500e-05, eta: 5:12:00, time: 0.174, data_time: 0.007, memory: 52403, decode.loss_ce: 0.2244, decode.acc_seg: 90.9631, loss: 0.2244 +2023-03-04 12:47:13,672 - mmseg - INFO - Iter [13600/80000] lr: 7.500e-05, eta: 5:10:47, time: 0.182, data_time: 0.007, memory: 52403, decode.loss_ce: 0.2181, decode.acc_seg: 90.9603, loss: 0.2181 +2023-03-04 12:47:22,963 - mmseg - INFO - Iter [13650/80000] lr: 7.500e-05, eta: 5:09:37, time: 0.186, data_time: 0.007, memory: 52403, decode.loss_ce: 0.2100, decode.acc_seg: 91.4314, loss: 0.2100 +2023-03-04 12:47:34,670 - mmseg - INFO - Iter [13700/80000] lr: 7.500e-05, eta: 5:08:56, time: 0.234, data_time: 0.055, memory: 52403, decode.loss_ce: 0.2122, decode.acc_seg: 91.1601, loss: 0.2122 +2023-03-04 12:47:44,092 - mmseg - INFO - Iter [13750/80000] lr: 7.500e-05, eta: 5:07:50, time: 0.188, data_time: 0.007, memory: 52403, decode.loss_ce: 0.2222, decode.acc_seg: 91.0961, loss: 0.2222 +2023-03-04 12:47:53,413 - mmseg - INFO - Iter [13800/80000] lr: 7.500e-05, eta: 5:06:43, time: 0.186, data_time: 0.007, memory: 52403, decode.loss_ce: 0.2071, decode.acc_seg: 91.3851, loss: 0.2071 +2023-03-04 12:48:02,213 - mmseg - INFO - Iter [13850/80000] lr: 7.500e-05, eta: 5:05:32, time: 0.176, data_time: 0.007, memory: 52403, decode.loss_ce: 0.2138, decode.acc_seg: 91.2739, loss: 0.2138 +2023-03-04 12:48:11,017 - mmseg - INFO - Iter [13900/80000] lr: 7.500e-05, eta: 5:04:21, time: 0.176, data_time: 0.007, memory: 52403, decode.loss_ce: 0.2231, decode.acc_seg: 91.0450, loss: 0.2231 +2023-03-04 12:48:19,950 - mmseg - INFO - Iter [13950/80000] lr: 7.500e-05, eta: 5:03:13, time: 0.179, data_time: 0.007, memory: 52403, decode.loss_ce: 0.2198, decode.acc_seg: 91.0923, loss: 0.2198 +2023-03-04 12:48:28,724 - mmseg - INFO - Exp name: ablation_segformer_mit_b2_segformer_head_unet_fc_single_step_ade_pretrained_freeze_embed_80k_ade20k151_mask.py +2023-03-04 12:48:28,724 - mmseg - INFO - Iter [14000/80000] lr: 7.500e-05, eta: 5:02:04, time: 0.175, data_time: 0.007, memory: 52403, decode.loss_ce: 0.2151, decode.acc_seg: 91.1547, loss: 0.2151 +2023-03-04 12:48:37,767 - mmseg - INFO - Iter [14050/80000] lr: 7.500e-05, eta: 5:00:59, time: 0.181, data_time: 0.007, memory: 52403, decode.loss_ce: 0.2164, decode.acc_seg: 91.1234, loss: 0.2164 +2023-03-04 12:48:46,750 - mmseg - INFO - Iter [14100/80000] lr: 7.500e-05, eta: 4:59:55, time: 0.180, data_time: 0.007, memory: 52403, decode.loss_ce: 0.2155, decode.acc_seg: 91.2248, loss: 0.2155 +2023-03-04 12:48:55,994 - mmseg - INFO - Iter [14150/80000] lr: 7.500e-05, eta: 4:58:54, time: 0.185, data_time: 0.007, memory: 52403, decode.loss_ce: 0.2074, decode.acc_seg: 91.3853, loss: 0.2074 +2023-03-04 12:49:05,502 - mmseg - INFO - Iter [14200/80000] lr: 7.500e-05, eta: 4:57:57, time: 0.190, data_time: 0.007, memory: 52403, decode.loss_ce: 0.2225, decode.acc_seg: 90.8468, loss: 0.2225 +2023-03-04 12:49:14,519 - mmseg - INFO - Iter [14250/80000] lr: 7.500e-05, eta: 4:56:55, time: 0.180, data_time: 0.006, memory: 52403, decode.loss_ce: 0.2228, decode.acc_seg: 91.0328, loss: 0.2228 +2023-03-04 12:49:23,545 - mmseg - INFO - Iter [14300/80000] lr: 7.500e-05, eta: 4:55:55, time: 0.181, data_time: 0.007, memory: 52403, decode.loss_ce: 0.2292, decode.acc_seg: 90.7450, loss: 0.2292 +2023-03-04 12:49:34,985 - mmseg - INFO - Iter [14350/80000] lr: 7.500e-05, eta: 4:55:19, time: 0.229, data_time: 0.051, memory: 52403, decode.loss_ce: 0.2123, decode.acc_seg: 91.4529, loss: 0.2123 +2023-03-04 12:49:43,838 - mmseg - INFO - Iter [14400/80000] lr: 7.500e-05, eta: 4:54:19, time: 0.177, data_time: 0.007, memory: 52403, decode.loss_ce: 0.2191, decode.acc_seg: 91.1663, loss: 0.2191 +2023-03-04 12:49:52,726 - mmseg - INFO - Iter [14450/80000] lr: 7.500e-05, eta: 4:53:19, time: 0.178, data_time: 0.007, memory: 52403, decode.loss_ce: 0.2191, decode.acc_seg: 91.0527, loss: 0.2191 +2023-03-04 12:50:02,129 - mmseg - INFO - Iter [14500/80000] lr: 7.500e-05, eta: 4:52:25, time: 0.188, data_time: 0.007, memory: 52403, decode.loss_ce: 0.2090, decode.acc_seg: 91.3732, loss: 0.2090 +2023-03-04 12:50:10,958 - mmseg - INFO - Iter [14550/80000] lr: 7.500e-05, eta: 4:51:26, time: 0.176, data_time: 0.007, memory: 52403, decode.loss_ce: 0.2134, decode.acc_seg: 91.4910, loss: 0.2134 +2023-03-04 12:50:20,092 - mmseg - INFO - Iter [14600/80000] lr: 7.500e-05, eta: 4:50:30, time: 0.183, data_time: 0.007, memory: 52403, decode.loss_ce: 0.2235, decode.acc_seg: 90.9393, loss: 0.2235 +2023-03-04 12:50:29,151 - mmseg - INFO - Iter [14650/80000] lr: 7.500e-05, eta: 4:49:35, time: 0.181, data_time: 0.007, memory: 52403, decode.loss_ce: 0.2110, decode.acc_seg: 91.3424, loss: 0.2110 +2023-03-04 12:50:37,987 - mmseg - INFO - Iter [14700/80000] lr: 7.500e-05, eta: 4:48:38, time: 0.177, data_time: 0.007, memory: 52403, decode.loss_ce: 0.2079, decode.acc_seg: 91.4654, loss: 0.2079 +2023-03-04 12:50:47,371 - mmseg - INFO - Iter [14750/80000] lr: 7.500e-05, eta: 4:47:48, time: 0.188, data_time: 0.007, memory: 52403, decode.loss_ce: 0.2246, decode.acc_seg: 90.9690, loss: 0.2246 +2023-03-04 12:50:56,442 - mmseg - INFO - Iter [14800/80000] lr: 7.500e-05, eta: 4:46:55, time: 0.181, data_time: 0.007, memory: 52403, decode.loss_ce: 0.2068, decode.acc_seg: 91.3455, loss: 0.2068 +2023-03-04 12:51:05,240 - mmseg - INFO - Iter [14850/80000] lr: 7.500e-05, eta: 4:46:00, time: 0.176, data_time: 0.007, memory: 52403, decode.loss_ce: 0.2210, decode.acc_seg: 90.9325, loss: 0.2210 +2023-03-04 12:51:14,538 - mmseg - INFO - Iter [14900/80000] lr: 7.500e-05, eta: 4:45:10, time: 0.186, data_time: 0.007, memory: 52403, decode.loss_ce: 0.2123, decode.acc_seg: 91.2012, loss: 0.2123 +2023-03-04 12:51:26,037 - mmseg - INFO - Iter [14950/80000] lr: 7.500e-05, eta: 4:44:41, time: 0.230, data_time: 0.054, memory: 52403, decode.loss_ce: 0.2079, decode.acc_seg: 91.5431, loss: 0.2079 +2023-03-04 12:51:34,993 - mmseg - INFO - Exp name: ablation_segformer_mit_b2_segformer_head_unet_fc_single_step_ade_pretrained_freeze_embed_80k_ade20k151_mask.py +2023-03-04 12:51:34,993 - mmseg - INFO - Iter [15000/80000] lr: 7.500e-05, eta: 4:43:49, time: 0.179, data_time: 0.007, memory: 52403, decode.loss_ce: 0.2102, decode.acc_seg: 91.3895, loss: 0.2102 +2023-03-04 12:51:44,532 - mmseg - INFO - Iter [15050/80000] lr: 7.500e-05, eta: 4:43:04, time: 0.191, data_time: 0.007, memory: 52403, decode.loss_ce: 0.2263, decode.acc_seg: 90.6989, loss: 0.2263 +2023-03-04 12:51:53,513 - mmseg - INFO - Iter [15100/80000] lr: 7.500e-05, eta: 4:42:13, time: 0.180, data_time: 0.007, memory: 52403, decode.loss_ce: 0.2112, decode.acc_seg: 91.3287, loss: 0.2112 +2023-03-04 12:52:02,140 - mmseg - INFO - Iter [15150/80000] lr: 7.500e-05, eta: 4:41:20, time: 0.173, data_time: 0.007, memory: 52403, decode.loss_ce: 0.2070, decode.acc_seg: 91.3176, loss: 0.2070 +2023-03-04 12:52:11,100 - mmseg - INFO - Iter [15200/80000] lr: 7.500e-05, eta: 4:40:30, time: 0.179, data_time: 0.007, memory: 52403, decode.loss_ce: 0.2143, decode.acc_seg: 91.1972, loss: 0.2143 +2023-03-04 12:52:19,853 - mmseg - INFO - Iter [15250/80000] lr: 7.500e-05, eta: 4:39:39, time: 0.175, data_time: 0.007, memory: 52403, decode.loss_ce: 0.2182, decode.acc_seg: 91.1953, loss: 0.2182 +2023-03-04 12:52:28,812 - mmseg - INFO - Iter [15300/80000] lr: 7.500e-05, eta: 4:38:51, time: 0.179, data_time: 0.007, memory: 52403, decode.loss_ce: 0.2149, decode.acc_seg: 91.3396, loss: 0.2149 +2023-03-04 12:52:38,441 - mmseg - INFO - Iter [15350/80000] lr: 7.500e-05, eta: 4:38:09, time: 0.193, data_time: 0.007, memory: 52403, decode.loss_ce: 0.2072, decode.acc_seg: 91.4579, loss: 0.2072 +2023-03-04 12:52:47,139 - mmseg - INFO - Iter [15400/80000] lr: 7.500e-05, eta: 4:37:20, time: 0.174, data_time: 0.007, memory: 52403, decode.loss_ce: 0.2127, decode.acc_seg: 91.3764, loss: 0.2127 +2023-03-04 12:52:55,916 - mmseg - INFO - Iter [15450/80000] lr: 7.500e-05, eta: 4:36:31, time: 0.175, data_time: 0.007, memory: 52403, decode.loss_ce: 0.2150, decode.acc_seg: 91.0938, loss: 0.2150 +2023-03-04 12:53:04,601 - mmseg - INFO - Iter [15500/80000] lr: 7.500e-05, eta: 4:35:42, time: 0.174, data_time: 0.007, memory: 52403, decode.loss_ce: 0.2156, decode.acc_seg: 91.3505, loss: 0.2156 +2023-03-04 12:53:13,431 - mmseg - INFO - Iter [15550/80000] lr: 7.500e-05, eta: 4:34:56, time: 0.177, data_time: 0.007, memory: 52403, decode.loss_ce: 0.2184, decode.acc_seg: 91.0570, loss: 0.2184 +2023-03-04 12:53:25,038 - mmseg - INFO - Iter [15600/80000] lr: 7.500e-05, eta: 4:34:33, time: 0.232, data_time: 0.053, memory: 52403, decode.loss_ce: 0.2109, decode.acc_seg: 91.1515, loss: 0.2109 +2023-03-04 12:53:33,779 - mmseg - INFO - Iter [15650/80000] lr: 7.500e-05, eta: 4:33:46, time: 0.175, data_time: 0.007, memory: 52403, decode.loss_ce: 0.2139, decode.acc_seg: 91.2754, loss: 0.2139 +2023-03-04 12:53:42,944 - mmseg - INFO - Iter [15700/80000] lr: 7.500e-05, eta: 4:33:03, time: 0.184, data_time: 0.007, memory: 52403, decode.loss_ce: 0.2103, decode.acc_seg: 91.3270, loss: 0.2103 +2023-03-04 12:53:51,916 - mmseg - INFO - Iter [15750/80000] lr: 7.500e-05, eta: 4:32:19, time: 0.179, data_time: 0.007, memory: 52403, decode.loss_ce: 0.2145, decode.acc_seg: 91.3867, loss: 0.2145 +2023-03-04 12:54:00,699 - mmseg - INFO - Iter [15800/80000] lr: 7.500e-05, eta: 4:31:34, time: 0.176, data_time: 0.007, memory: 52403, decode.loss_ce: 0.2148, decode.acc_seg: 91.1806, loss: 0.2148 +2023-03-04 12:54:09,495 - mmseg - INFO - Iter [15850/80000] lr: 7.500e-05, eta: 4:30:49, time: 0.176, data_time: 0.007, memory: 52403, decode.loss_ce: 0.2244, decode.acc_seg: 90.8629, loss: 0.2244 +2023-03-04 12:54:18,390 - mmseg - INFO - Iter [15900/80000] lr: 7.500e-05, eta: 4:30:06, time: 0.178, data_time: 0.007, memory: 52403, decode.loss_ce: 0.2177, decode.acc_seg: 91.2062, loss: 0.2177 +2023-03-04 12:54:27,292 - mmseg - INFO - Iter [15950/80000] lr: 7.500e-05, eta: 4:29:23, time: 0.178, data_time: 0.007, memory: 52403, decode.loss_ce: 0.2158, decode.acc_seg: 91.3297, loss: 0.2158 +2023-03-04 12:54:36,215 - mmseg - INFO - Saving checkpoint at 16000 iterations +2023-03-04 12:54:36,872 - mmseg - INFO - Exp name: ablation_segformer_mit_b2_segformer_head_unet_fc_single_step_ade_pretrained_freeze_embed_80k_ade20k151_mask.py +2023-03-04 12:54:36,873 - mmseg - INFO - Iter [16000/80000] lr: 7.500e-05, eta: 4:28:47, time: 0.192, data_time: 0.007, memory: 52403, decode.loss_ce: 0.2235, decode.acc_seg: 90.8036, loss: 0.2235 +2023-03-04 12:54:52,460 - mmseg - INFO - per class results: +2023-03-04 12:54:52,466 - mmseg - INFO - ++---------------------+-------+-------+ +| Class | IoU | Acc | ++---------------------+-------+-------+ +| background | nan | nan | +| wall | 76.76 | 88.69 | +| building | 80.64 | 92.88 | +| sky | 94.24 | 96.82 | +| floor | 80.01 | 91.28 | +| tree | 72.65 | 86.8 | +| ceiling | 84.66 | 91.72 | +| road | 81.35 | 90.54 | +| bed | 87.21 | 94.47 | +| windowpane | 59.82 | 76.64 | +| grass | 65.97 | 83.52 | +| cabinet | 59.45 | 73.99 | +| sidewalk | 62.58 | 77.33 | +| person | 77.68 | 92.82 | +| earth | 35.49 | 50.21 | +| door | 43.2 | 53.53 | +| table | 57.43 | 70.99 | +| mountain | 57.36 | 75.2 | +| plant | 48.82 | 58.51 | +| curtain | 73.16 | 83.4 | +| chair | 54.12 | 65.47 | +| car | 81.74 | 90.45 | +| water | 57.29 | 76.56 | +| painting | 69.9 | 84.15 | +| sofa | 61.92 | 83.05 | +| shelf | 42.27 | 60.06 | +| house | 42.24 | 57.37 | +| sea | 60.4 | 75.92 | +| mirror | 62.98 | 71.68 | +| rug | 63.17 | 76.08 | +| field | 30.97 | 44.12 | +| armchair | 35.8 | 51.34 | +| seat | 64.59 | 81.17 | +| fence | 36.93 | 43.45 | +| desk | 45.43 | 67.88 | +| rock | 34.37 | 55.28 | +| wardrobe | 57.19 | 69.79 | +| lamp | 59.19 | 73.23 | +| bathtub | 73.32 | 82.46 | +| railing | 33.38 | 49.51 | +| cushion | 52.83 | 62.34 | +| base | 16.49 | 18.71 | +| box | 23.2 | 32.19 | +| column | 44.06 | 52.62 | +| signboard | 35.94 | 45.89 | +| chest of drawers | 34.89 | 53.3 | +| counter | 29.65 | 38.88 | +| sand | 40.16 | 55.65 | +| sink | 65.58 | 72.64 | +| skyscraper | 52.26 | 67.29 | +| fireplace | 70.17 | 88.21 | +| refrigerator | 70.3 | 86.05 | +| grandstand | 52.68 | 60.85 | +| path | 19.96 | 25.24 | +| stairs | 30.64 | 38.96 | +| runway | 67.73 | 87.65 | +| case | 46.29 | 53.31 | +| pool table | 89.91 | 91.59 | +| pillow | 59.7 | 75.09 | +| screen door | 69.15 | 74.55 | +| stairway | 23.66 | 40.76 | +| river | 11.4 | 21.52 | +| bridge | 34.17 | 39.02 | +| bookcase | 40.22 | 64.42 | +| blind | 38.77 | 43.61 | +| coffee table | 50.05 | 79.09 | +| toilet | 83.05 | 89.76 | +| flower | 38.57 | 53.73 | +| book | 41.65 | 63.72 | +| hill | 14.84 | 19.94 | +| bench | 43.36 | 53.43 | +| countertop | 51.14 | 67.1 | +| stove | 68.71 | 81.92 | +| palm | 47.77 | 66.93 | +| kitchen island | 34.96 | 51.14 | +| computer | 58.1 | 69.19 | +| swivel chair | 40.36 | 53.07 | +| boat | 65.19 | 75.02 | +| bar | 21.03 | 27.48 | +| arcade machine | 64.59 | 66.57 | +| hovel | 33.56 | 37.05 | +| bus | 76.99 | 90.21 | +| towel | 60.89 | 72.54 | +| light | 52.98 | 62.41 | +| truck | 13.47 | 17.34 | +| tower | 6.54 | 10.4 | +| chandelier | 63.66 | 76.95 | +| awning | 20.42 | 23.96 | +| streetlight | 19.08 | 23.29 | +| booth | 43.15 | 45.24 | +| television receiver | 62.76 | 76.28 | +| airplane | 57.18 | 62.58 | +| dirt track | 12.2 | 23.52 | +| apparel | 35.74 | 52.56 | +| pole | 8.98 | 10.04 | +| land | 1.62 | 2.15 | +| bannister | 11.29 | 15.12 | +| escalator | 26.62 | 30.13 | +| ottoman | 40.63 | 60.71 | +| bottle | 33.37 | 51.18 | +| buffet | 40.81 | 49.01 | +| poster | 23.09 | 34.51 | +| stage | 15.7 | 21.89 | +| van | 37.47 | 55.52 | +| ship | 70.75 | 90.15 | +| fountain | 10.09 | 10.21 | +| conveyer belt | 82.81 | 90.55 | +| canopy | 25.67 | 28.59 | +| washer | 79.54 | 81.18 | +| plaything | 20.44 | 25.45 | +| swimming pool | 71.72 | 78.59 | +| stool | 40.64 | 56.47 | +| barrel | 37.3 | 49.3 | +| basket | 24.05 | 37.17 | +| waterfall | 46.98 | 60.43 | +| tent | 94.7 | 97.38 | +| bag | 9.37 | 10.55 | +| minibike | 62.08 | 74.99 | +| cradle | 84.09 | 93.88 | +| oven | 44.2 | 64.9 | +| ball | 39.55 | 43.55 | +| food | 50.61 | 60.95 | +| step | 4.78 | 5.31 | +| tank | 46.86 | 50.54 | +| trade name | 25.32 | 27.77 | +| microwave | 71.54 | 78.89 | +| pot | 28.86 | 32.49 | +| animal | 52.68 | 57.18 | +| bicycle | 48.63 | 68.23 | +| lake | 57.28 | 62.38 | +| dishwasher | 65.18 | 77.03 | +| screen | 68.17 | 79.87 | +| blanket | 18.31 | 22.07 | +| sculpture | 56.99 | 76.7 | +| hood | 56.21 | 67.71 | +| sconce | 39.26 | 45.31 | +| vase | 35.02 | 44.05 | +| traffic light | 23.14 | 28.31 | +| tray | 3.17 | 3.67 | +| ashcan | 41.89 | 47.08 | +| fan | 57.94 | 71.35 | +| pier | 38.96 | 80.74 | +| crt screen | 8.57 | 25.58 | +| plate | 47.98 | 64.89 | +| monitor | 13.13 | 15.71 | +| bulletin board | 38.71 | 51.61 | +| shower | 0.3 | 0.74 | +| radiator | 59.34 | 68.78 | +| glass | 12.23 | 13.64 | +| clock | 34.95 | 38.49 | +| flag | 35.18 | 39.09 | ++---------------------+-------+-------+ +2023-03-04 12:54:52,466 - mmseg - INFO - Summary: +2023-03-04 12:54:52,467 - mmseg - INFO - ++------+-------+-------+ +| aAcc | mIoU | mAcc | ++------+-------+-------+ +| 82.1 | 46.61 | 57.34 | ++------+-------+-------+ +2023-03-04 12:54:52,489 - mmseg - INFO - The previous best checkpoint /mnt/petrelfs/laizeqiang/mmseg-baseline/work_dirs2/ablation_segformer_mit_b2_segformer_head_unet_fc_single_step_ade_pretrained_freeze_embed_80k_ade20k151_mask/best_mIoU_iter_8000.pth was removed +2023-03-04 12:54:53,084 - mmseg - INFO - Now best checkpoint is saved as best_mIoU_iter_16000.pth. +2023-03-04 12:54:53,085 - mmseg - INFO - Best mIoU is 0.4661 at 16000 iter. +2023-03-04 12:54:53,085 - mmseg - INFO - Exp name: ablation_segformer_mit_b2_segformer_head_unet_fc_single_step_ade_pretrained_freeze_embed_80k_ade20k151_mask.py +2023-03-04 12:54:53,085 - mmseg - INFO - Iter(val) [250] aAcc: 0.8210, mIoU: 0.4661, mAcc: 0.5734, IoU.background: nan, IoU.wall: 0.7676, IoU.building: 0.8064, IoU.sky: 0.9424, IoU.floor: 0.8001, IoU.tree: 0.7265, IoU.ceiling: 0.8466, IoU.road: 0.8135, IoU.bed : 0.8721, IoU.windowpane: 0.5982, IoU.grass: 0.6597, IoU.cabinet: 0.5945, IoU.sidewalk: 0.6258, IoU.person: 0.7768, IoU.earth: 0.3549, IoU.door: 0.4320, IoU.table: 0.5743, IoU.mountain: 0.5736, IoU.plant: 0.4882, IoU.curtain: 0.7316, IoU.chair: 0.5412, IoU.car: 0.8174, IoU.water: 0.5729, IoU.painting: 0.6990, IoU.sofa: 0.6192, IoU.shelf: 0.4227, IoU.house: 0.4224, IoU.sea: 0.6040, IoU.mirror: 0.6298, IoU.rug: 0.6317, IoU.field: 0.3097, IoU.armchair: 0.3580, IoU.seat: 0.6459, IoU.fence: 0.3693, IoU.desk: 0.4543, IoU.rock: 0.3437, IoU.wardrobe: 0.5719, IoU.lamp: 0.5919, IoU.bathtub: 0.7332, IoU.railing: 0.3338, IoU.cushion: 0.5283, IoU.base: 0.1649, IoU.box: 0.2320, IoU.column: 0.4406, IoU.signboard: 0.3594, IoU.chest of drawers: 0.3489, IoU.counter: 0.2965, IoU.sand: 0.4016, IoU.sink: 0.6558, IoU.skyscraper: 0.5226, IoU.fireplace: 0.7017, IoU.refrigerator: 0.7030, IoU.grandstand: 0.5268, IoU.path: 0.1996, IoU.stairs: 0.3064, IoU.runway: 0.6773, IoU.case: 0.4629, IoU.pool table: 0.8991, IoU.pillow: 0.5970, IoU.screen door: 0.6915, IoU.stairway: 0.2366, IoU.river: 0.1140, IoU.bridge: 0.3417, IoU.bookcase: 0.4022, IoU.blind: 0.3877, IoU.coffee table: 0.5005, IoU.toilet: 0.8305, IoU.flower: 0.3857, IoU.book: 0.4165, IoU.hill: 0.1484, IoU.bench: 0.4336, IoU.countertop: 0.5114, IoU.stove: 0.6871, IoU.palm: 0.4777, IoU.kitchen island: 0.3496, IoU.computer: 0.5810, IoU.swivel chair: 0.4036, IoU.boat: 0.6519, IoU.bar: 0.2103, IoU.arcade machine: 0.6459, IoU.hovel: 0.3356, IoU.bus: 0.7699, IoU.towel: 0.6089, IoU.light: 0.5298, IoU.truck: 0.1347, IoU.tower: 0.0654, IoU.chandelier: 0.6366, IoU.awning: 0.2042, IoU.streetlight: 0.1908, IoU.booth: 0.4315, IoU.television receiver: 0.6276, IoU.airplane: 0.5718, IoU.dirt track: 0.1220, IoU.apparel: 0.3574, IoU.pole: 0.0898, IoU.land: 0.0162, IoU.bannister: 0.1129, IoU.escalator: 0.2662, IoU.ottoman: 0.4063, IoU.bottle: 0.3337, IoU.buffet: 0.4081, IoU.poster: 0.2309, IoU.stage: 0.1570, IoU.van: 0.3747, IoU.ship: 0.7075, IoU.fountain: 0.1009, IoU.conveyer belt: 0.8281, IoU.canopy: 0.2567, IoU.washer: 0.7954, IoU.plaything: 0.2044, IoU.swimming pool: 0.7172, IoU.stool: 0.4064, IoU.barrel: 0.3730, IoU.basket: 0.2405, IoU.waterfall: 0.4698, IoU.tent: 0.9470, IoU.bag: 0.0937, IoU.minibike: 0.6208, IoU.cradle: 0.8409, IoU.oven: 0.4420, IoU.ball: 0.3955, IoU.food: 0.5061, IoU.step: 0.0478, IoU.tank: 0.4686, IoU.trade name: 0.2532, IoU.microwave: 0.7154, IoU.pot: 0.2886, IoU.animal: 0.5268, IoU.bicycle: 0.4863, IoU.lake: 0.5728, IoU.dishwasher: 0.6518, IoU.screen: 0.6817, IoU.blanket: 0.1831, IoU.sculpture: 0.5699, IoU.hood: 0.5621, IoU.sconce: 0.3926, IoU.vase: 0.3502, IoU.traffic light: 0.2314, IoU.tray: 0.0317, IoU.ashcan: 0.4189, IoU.fan: 0.5794, IoU.pier: 0.3896, IoU.crt screen: 0.0857, IoU.plate: 0.4798, IoU.monitor: 0.1313, IoU.bulletin board: 0.3871, IoU.shower: 0.0030, IoU.radiator: 0.5934, IoU.glass: 0.1223, IoU.clock: 0.3495, IoU.flag: 0.3518, Acc.background: nan, Acc.wall: 0.8869, Acc.building: 0.9288, Acc.sky: 0.9682, Acc.floor: 0.9128, Acc.tree: 0.8680, Acc.ceiling: 0.9172, Acc.road: 0.9054, Acc.bed : 0.9447, Acc.windowpane: 0.7664, Acc.grass: 0.8352, Acc.cabinet: 0.7399, Acc.sidewalk: 0.7733, Acc.person: 0.9282, Acc.earth: 0.5021, Acc.door: 0.5353, Acc.table: 0.7099, Acc.mountain: 0.7520, Acc.plant: 0.5851, Acc.curtain: 0.8340, Acc.chair: 0.6547, Acc.car: 0.9045, Acc.water: 0.7656, Acc.painting: 0.8415, Acc.sofa: 0.8305, Acc.shelf: 0.6006, Acc.house: 0.5737, Acc.sea: 0.7592, Acc.mirror: 0.7168, Acc.rug: 0.7608, Acc.field: 0.4412, Acc.armchair: 0.5134, Acc.seat: 0.8117, Acc.fence: 0.4345, Acc.desk: 0.6788, Acc.rock: 0.5528, Acc.wardrobe: 0.6979, Acc.lamp: 0.7323, Acc.bathtub: 0.8246, Acc.railing: 0.4951, Acc.cushion: 0.6234, Acc.base: 0.1871, Acc.box: 0.3219, Acc.column: 0.5262, Acc.signboard: 0.4589, Acc.chest of drawers: 0.5330, Acc.counter: 0.3888, Acc.sand: 0.5565, Acc.sink: 0.7264, Acc.skyscraper: 0.6729, Acc.fireplace: 0.8821, Acc.refrigerator: 0.8605, Acc.grandstand: 0.6085, Acc.path: 0.2524, Acc.stairs: 0.3896, Acc.runway: 0.8765, Acc.case: 0.5331, Acc.pool table: 0.9159, Acc.pillow: 0.7509, Acc.screen door: 0.7455, Acc.stairway: 0.4076, Acc.river: 0.2152, Acc.bridge: 0.3902, Acc.bookcase: 0.6442, Acc.blind: 0.4361, Acc.coffee table: 0.7909, Acc.toilet: 0.8976, Acc.flower: 0.5373, Acc.book: 0.6372, Acc.hill: 0.1994, Acc.bench: 0.5343, Acc.countertop: 0.6710, Acc.stove: 0.8192, Acc.palm: 0.6693, Acc.kitchen island: 0.5114, Acc.computer: 0.6919, Acc.swivel chair: 0.5307, Acc.boat: 0.7502, Acc.bar: 0.2748, Acc.arcade machine: 0.6657, Acc.hovel: 0.3705, Acc.bus: 0.9021, Acc.towel: 0.7254, Acc.light: 0.6241, Acc.truck: 0.1734, Acc.tower: 0.1040, Acc.chandelier: 0.7695, Acc.awning: 0.2396, Acc.streetlight: 0.2329, Acc.booth: 0.4524, Acc.television receiver: 0.7628, Acc.airplane: 0.6258, Acc.dirt track: 0.2352, Acc.apparel: 0.5256, Acc.pole: 0.1004, Acc.land: 0.0215, Acc.bannister: 0.1512, Acc.escalator: 0.3013, Acc.ottoman: 0.6071, Acc.bottle: 0.5118, Acc.buffet: 0.4901, Acc.poster: 0.3451, Acc.stage: 0.2189, Acc.van: 0.5552, Acc.ship: 0.9015, Acc.fountain: 0.1021, Acc.conveyer belt: 0.9055, Acc.canopy: 0.2859, Acc.washer: 0.8118, Acc.plaything: 0.2545, Acc.swimming pool: 0.7859, Acc.stool: 0.5647, Acc.barrel: 0.4930, Acc.basket: 0.3717, Acc.waterfall: 0.6043, Acc.tent: 0.9738, Acc.bag: 0.1055, Acc.minibike: 0.7499, Acc.cradle: 0.9388, Acc.oven: 0.6490, Acc.ball: 0.4355, Acc.food: 0.6095, Acc.step: 0.0531, Acc.tank: 0.5054, Acc.trade name: 0.2777, Acc.microwave: 0.7889, Acc.pot: 0.3249, Acc.animal: 0.5718, Acc.bicycle: 0.6823, Acc.lake: 0.6238, Acc.dishwasher: 0.7703, Acc.screen: 0.7987, Acc.blanket: 0.2207, Acc.sculpture: 0.7670, Acc.hood: 0.6771, Acc.sconce: 0.4531, Acc.vase: 0.4405, Acc.traffic light: 0.2831, Acc.tray: 0.0367, Acc.ashcan: 0.4708, Acc.fan: 0.7135, Acc.pier: 0.8074, Acc.crt screen: 0.2558, Acc.plate: 0.6489, Acc.monitor: 0.1571, Acc.bulletin board: 0.5161, Acc.shower: 0.0074, Acc.radiator: 0.6878, Acc.glass: 0.1364, Acc.clock: 0.3849, Acc.flag: 0.3909 +2023-03-04 12:55:02,004 - mmseg - INFO - Iter [16050/80000] lr: 7.500e-05, eta: 4:30:13, time: 0.503, data_time: 0.332, memory: 52403, decode.loss_ce: 0.2191, decode.acc_seg: 90.9822, loss: 0.2191 +2023-03-04 12:55:11,046 - mmseg - INFO - Iter [16100/80000] lr: 7.500e-05, eta: 4:29:32, time: 0.181, data_time: 0.007, memory: 52403, decode.loss_ce: 0.2085, decode.acc_seg: 91.4453, loss: 0.2085 +2023-03-04 12:55:20,541 - mmseg - INFO - Iter [16150/80000] lr: 7.500e-05, eta: 4:28:55, time: 0.190, data_time: 0.007, memory: 52403, decode.loss_ce: 0.2130, decode.acc_seg: 91.3347, loss: 0.2130 +2023-03-04 12:55:29,452 - mmseg - INFO - Iter [16200/80000] lr: 7.500e-05, eta: 4:28:13, time: 0.178, data_time: 0.007, memory: 52403, decode.loss_ce: 0.2114, decode.acc_seg: 91.2966, loss: 0.2114 +2023-03-04 12:55:40,803 - mmseg - INFO - Iter [16250/80000] lr: 7.500e-05, eta: 4:27:51, time: 0.227, data_time: 0.054, memory: 52403, decode.loss_ce: 0.2143, decode.acc_seg: 91.3231, loss: 0.2143 +2023-03-04 12:55:49,630 - mmseg - INFO - Iter [16300/80000] lr: 7.500e-05, eta: 4:27:09, time: 0.177, data_time: 0.007, memory: 52403, decode.loss_ce: 0.2202, decode.acc_seg: 91.0182, loss: 0.2202 +2023-03-04 12:55:58,255 - mmseg - INFO - Iter [16350/80000] lr: 7.500e-05, eta: 4:26:26, time: 0.172, data_time: 0.007, memory: 52403, decode.loss_ce: 0.2133, decode.acc_seg: 91.2685, loss: 0.2133 +2023-03-04 12:56:07,608 - mmseg - INFO - Iter [16400/80000] lr: 7.500e-05, eta: 4:25:50, time: 0.187, data_time: 0.007, memory: 52403, decode.loss_ce: 0.2169, decode.acc_seg: 91.2376, loss: 0.2169 +2023-03-04 12:56:16,543 - mmseg - INFO - Iter [16450/80000] lr: 7.500e-05, eta: 4:25:10, time: 0.179, data_time: 0.007, memory: 52403, decode.loss_ce: 0.2064, decode.acc_seg: 91.5171, loss: 0.2064 +2023-03-04 12:56:25,384 - mmseg - INFO - Iter [16500/80000] lr: 7.500e-05, eta: 4:24:30, time: 0.177, data_time: 0.007, memory: 52403, decode.loss_ce: 0.2188, decode.acc_seg: 91.1118, loss: 0.2188 +2023-03-04 12:56:33,971 - mmseg - INFO - Iter [16550/80000] lr: 7.500e-05, eta: 4:23:48, time: 0.172, data_time: 0.007, memory: 52403, decode.loss_ce: 0.2166, decode.acc_seg: 91.1694, loss: 0.2166 +2023-03-04 12:56:43,196 - mmseg - INFO - Iter [16600/80000] lr: 7.500e-05, eta: 4:23:12, time: 0.185, data_time: 0.007, memory: 52403, decode.loss_ce: 0.2126, decode.acc_seg: 91.2927, loss: 0.2126 +2023-03-04 12:56:52,420 - mmseg - INFO - Iter [16650/80000] lr: 7.500e-05, eta: 4:22:36, time: 0.184, data_time: 0.007, memory: 52403, decode.loss_ce: 0.2057, decode.acc_seg: 91.4167, loss: 0.2057 +2023-03-04 12:57:01,306 - mmseg - INFO - Iter [16700/80000] lr: 7.500e-05, eta: 4:21:58, time: 0.178, data_time: 0.007, memory: 52403, decode.loss_ce: 0.2229, decode.acc_seg: 91.0422, loss: 0.2229 +2023-03-04 12:57:10,479 - mmseg - INFO - Iter [16750/80000] lr: 7.500e-05, eta: 4:21:22, time: 0.183, data_time: 0.007, memory: 52403, decode.loss_ce: 0.2170, decode.acc_seg: 91.0843, loss: 0.2170 +2023-03-04 12:57:19,186 - mmseg - INFO - Iter [16800/80000] lr: 7.500e-05, eta: 4:20:43, time: 0.174, data_time: 0.007, memory: 52403, decode.loss_ce: 0.2253, decode.acc_seg: 90.9486, loss: 0.2253 +2023-03-04 12:57:30,457 - mmseg - INFO - Iter [16850/80000] lr: 7.500e-05, eta: 4:20:23, time: 0.225, data_time: 0.057, memory: 52403, decode.loss_ce: 0.2144, decode.acc_seg: 91.2931, loss: 0.2144 +2023-03-04 12:57:39,219 - mmseg - INFO - Iter [16900/80000] lr: 7.500e-05, eta: 4:19:45, time: 0.175, data_time: 0.007, memory: 52403, decode.loss_ce: 0.2098, decode.acc_seg: 91.5270, loss: 0.2098 +2023-03-04 12:57:48,099 - mmseg - INFO - Iter [16950/80000] lr: 7.500e-05, eta: 4:19:08, time: 0.178, data_time: 0.007, memory: 52403, decode.loss_ce: 0.2104, decode.acc_seg: 91.3310, loss: 0.2104 +2023-03-04 12:57:56,905 - mmseg - INFO - Exp name: ablation_segformer_mit_b2_segformer_head_unet_fc_single_step_ade_pretrained_freeze_embed_80k_ade20k151_mask.py +2023-03-04 12:57:56,905 - mmseg - INFO - Iter [17000/80000] lr: 7.500e-05, eta: 4:18:31, time: 0.176, data_time: 0.007, memory: 52403, decode.loss_ce: 0.2081, decode.acc_seg: 91.4145, loss: 0.2081 +2023-03-04 12:58:06,001 - mmseg - INFO - Iter [17050/80000] lr: 7.500e-05, eta: 4:17:56, time: 0.182, data_time: 0.007, memory: 52403, decode.loss_ce: 0.2089, decode.acc_seg: 91.3009, loss: 0.2089 +2023-03-04 12:58:15,336 - mmseg - INFO - Iter [17100/80000] lr: 7.500e-05, eta: 4:17:23, time: 0.187, data_time: 0.008, memory: 52403, decode.loss_ce: 0.2174, decode.acc_seg: 91.1046, loss: 0.2174 +2023-03-04 12:58:24,200 - mmseg - INFO - Iter [17150/80000] lr: 7.500e-05, eta: 4:16:48, time: 0.177, data_time: 0.007, memory: 52403, decode.loss_ce: 0.2139, decode.acc_seg: 91.2356, loss: 0.2139 +2023-03-04 12:58:33,397 - mmseg - INFO - Iter [17200/80000] lr: 7.500e-05, eta: 4:16:15, time: 0.184, data_time: 0.007, memory: 52403, decode.loss_ce: 0.2117, decode.acc_seg: 91.3431, loss: 0.2117 +2023-03-04 12:58:42,778 - mmseg - INFO - Iter [17250/80000] lr: 7.500e-05, eta: 4:15:43, time: 0.187, data_time: 0.007, memory: 52403, decode.loss_ce: 0.2151, decode.acc_seg: 91.1491, loss: 0.2151 +2023-03-04 12:58:51,709 - mmseg - INFO - Iter [17300/80000] lr: 7.500e-05, eta: 4:15:08, time: 0.179, data_time: 0.007, memory: 52403, decode.loss_ce: 0.2158, decode.acc_seg: 91.2846, loss: 0.2158 +2023-03-04 12:59:01,229 - mmseg - INFO - Iter [17350/80000] lr: 7.500e-05, eta: 4:14:38, time: 0.190, data_time: 0.006, memory: 52403, decode.loss_ce: 0.2199, decode.acc_seg: 91.0246, loss: 0.2199 +2023-03-04 12:59:10,475 - mmseg - INFO - Iter [17400/80000] lr: 7.500e-05, eta: 4:14:06, time: 0.185, data_time: 0.007, memory: 52403, decode.loss_ce: 0.2235, decode.acc_seg: 90.7825, loss: 0.2235 +2023-03-04 12:59:20,308 - mmseg - INFO - Iter [17450/80000] lr: 7.500e-05, eta: 4:13:39, time: 0.197, data_time: 0.007, memory: 52403, decode.loss_ce: 0.2136, decode.acc_seg: 91.2473, loss: 0.2136 +2023-03-04 12:59:31,650 - mmseg - INFO - Iter [17500/80000] lr: 7.500e-05, eta: 4:13:21, time: 0.227, data_time: 0.056, memory: 52403, decode.loss_ce: 0.2094, decode.acc_seg: 91.4411, loss: 0.2094 +2023-03-04 12:59:40,316 - mmseg - INFO - Iter [17550/80000] lr: 7.500e-05, eta: 4:12:46, time: 0.173, data_time: 0.007, memory: 52403, decode.loss_ce: 0.2167, decode.acc_seg: 91.1020, loss: 0.2167 +2023-03-04 12:59:49,175 - mmseg - INFO - Iter [17600/80000] lr: 7.500e-05, eta: 4:12:13, time: 0.177, data_time: 0.007, memory: 52403, decode.loss_ce: 0.2098, decode.acc_seg: 91.5139, loss: 0.2098 +2023-03-04 12:59:58,261 - mmseg - INFO - Iter [17650/80000] lr: 7.500e-05, eta: 4:11:41, time: 0.182, data_time: 0.007, memory: 52403, decode.loss_ce: 0.2190, decode.acc_seg: 90.9405, loss: 0.2190 +2023-03-04 13:00:07,227 - mmseg - INFO - Iter [17700/80000] lr: 7.500e-05, eta: 4:11:09, time: 0.179, data_time: 0.007, memory: 52403, decode.loss_ce: 0.2059, decode.acc_seg: 91.5764, loss: 0.2059 +2023-03-04 13:00:16,299 - mmseg - INFO - Iter [17750/80000] lr: 7.500e-05, eta: 4:10:37, time: 0.181, data_time: 0.007, memory: 52403, decode.loss_ce: 0.2084, decode.acc_seg: 91.5723, loss: 0.2084 +2023-03-04 13:00:25,639 - mmseg - INFO - Iter [17800/80000] lr: 7.500e-05, eta: 4:10:08, time: 0.187, data_time: 0.007, memory: 52403, decode.loss_ce: 0.2169, decode.acc_seg: 91.0600, loss: 0.2169 +2023-03-04 13:00:34,289 - mmseg - INFO - Iter [17850/80000] lr: 7.500e-05, eta: 4:09:34, time: 0.173, data_time: 0.007, memory: 52403, decode.loss_ce: 0.2168, decode.acc_seg: 91.1299, loss: 0.2168 +2023-03-04 13:00:43,571 - mmseg - INFO - Iter [17900/80000] lr: 7.500e-05, eta: 4:09:05, time: 0.185, data_time: 0.007, memory: 52403, decode.loss_ce: 0.2124, decode.acc_seg: 91.3326, loss: 0.2124 +2023-03-04 13:00:53,023 - mmseg - INFO - Iter [17950/80000] lr: 7.500e-05, eta: 4:08:36, time: 0.189, data_time: 0.007, memory: 52403, decode.loss_ce: 0.2158, decode.acc_seg: 91.1403, loss: 0.2158 +2023-03-04 13:01:01,968 - mmseg - INFO - Exp name: ablation_segformer_mit_b2_segformer_head_unet_fc_single_step_ade_pretrained_freeze_embed_80k_ade20k151_mask.py +2023-03-04 13:01:01,968 - mmseg - INFO - Iter [18000/80000] lr: 7.500e-05, eta: 4:08:05, time: 0.179, data_time: 0.007, memory: 52403, decode.loss_ce: 0.2103, decode.acc_seg: 91.3167, loss: 0.2103 +2023-03-04 13:01:11,191 - mmseg - INFO - Iter [18050/80000] lr: 7.500e-05, eta: 4:07:36, time: 0.184, data_time: 0.007, memory: 52403, decode.loss_ce: 0.2212, decode.acc_seg: 91.0276, loss: 0.2212 +2023-03-04 13:01:22,387 - mmseg - INFO - Iter [18100/80000] lr: 7.500e-05, eta: 4:07:19, time: 0.224, data_time: 0.057, memory: 52403, decode.loss_ce: 0.2136, decode.acc_seg: 91.4000, loss: 0.2136 +2023-03-04 13:01:31,441 - mmseg - INFO - Iter [18150/80000] lr: 7.500e-05, eta: 4:06:50, time: 0.181, data_time: 0.006, memory: 52403, decode.loss_ce: 0.2053, decode.acc_seg: 91.5364, loss: 0.2053 +2023-03-04 13:01:40,596 - mmseg - INFO - Iter [18200/80000] lr: 7.500e-05, eta: 4:06:21, time: 0.183, data_time: 0.007, memory: 52403, decode.loss_ce: 0.2074, decode.acc_seg: 91.3986, loss: 0.2074 +2023-03-04 13:01:49,291 - mmseg - INFO - Iter [18250/80000] lr: 7.500e-05, eta: 4:05:49, time: 0.174, data_time: 0.007, memory: 52403, decode.loss_ce: 0.2170, decode.acc_seg: 91.1791, loss: 0.2170 +2023-03-04 13:01:58,483 - mmseg - INFO - Iter [18300/80000] lr: 7.500e-05, eta: 4:05:21, time: 0.184, data_time: 0.007, memory: 52403, decode.loss_ce: 0.2065, decode.acc_seg: 91.6143, loss: 0.2065 +2023-03-04 13:02:07,112 - mmseg - INFO - Iter [18350/80000] lr: 7.500e-05, eta: 4:04:49, time: 0.173, data_time: 0.007, memory: 52403, decode.loss_ce: 0.2231, decode.acc_seg: 90.7788, loss: 0.2231 +2023-03-04 13:02:15,810 - mmseg - INFO - Iter [18400/80000] lr: 7.500e-05, eta: 4:04:18, time: 0.174, data_time: 0.007, memory: 52403, decode.loss_ce: 0.2065, decode.acc_seg: 91.5088, loss: 0.2065 +2023-03-04 13:02:24,864 - mmseg - INFO - Iter [18450/80000] lr: 7.500e-05, eta: 4:03:49, time: 0.181, data_time: 0.007, memory: 52403, decode.loss_ce: 0.2172, decode.acc_seg: 91.1718, loss: 0.2172 +2023-03-04 13:02:33,923 - mmseg - INFO - Iter [18500/80000] lr: 7.500e-05, eta: 4:03:21, time: 0.181, data_time: 0.007, memory: 52403, decode.loss_ce: 0.2152, decode.acc_seg: 91.2185, loss: 0.2152 +2023-03-04 13:02:43,240 - mmseg - INFO - Iter [18550/80000] lr: 7.500e-05, eta: 4:02:54, time: 0.186, data_time: 0.007, memory: 52403, decode.loss_ce: 0.2155, decode.acc_seg: 91.1327, loss: 0.2155 +2023-03-04 13:02:51,992 - mmseg - INFO - Iter [18600/80000] lr: 7.500e-05, eta: 4:02:24, time: 0.175, data_time: 0.007, memory: 52403, decode.loss_ce: 0.2150, decode.acc_seg: 91.1755, loss: 0.2150 +2023-03-04 13:03:00,638 - mmseg - INFO - Iter [18650/80000] lr: 7.500e-05, eta: 4:01:54, time: 0.173, data_time: 0.007, memory: 52403, decode.loss_ce: 0.2064, decode.acc_seg: 91.5816, loss: 0.2064 +2023-03-04 13:03:09,392 - mmseg - INFO - Iter [18700/80000] lr: 7.500e-05, eta: 4:01:25, time: 0.175, data_time: 0.007, memory: 52403, decode.loss_ce: 0.1979, decode.acc_seg: 91.7991, loss: 0.1979 +2023-03-04 13:03:20,585 - mmseg - INFO - Iter [18750/80000] lr: 7.500e-05, eta: 4:01:09, time: 0.224, data_time: 0.055, memory: 52403, decode.loss_ce: 0.2092, decode.acc_seg: 91.3782, loss: 0.2092 +2023-03-04 13:03:29,645 - mmseg - INFO - Iter [18800/80000] lr: 7.500e-05, eta: 4:00:42, time: 0.181, data_time: 0.007, memory: 52403, decode.loss_ce: 0.2104, decode.acc_seg: 91.3487, loss: 0.2104 +2023-03-04 13:03:38,705 - mmseg - INFO - Iter [18850/80000] lr: 7.500e-05, eta: 4:00:15, time: 0.181, data_time: 0.007, memory: 52403, decode.loss_ce: 0.2122, decode.acc_seg: 91.3366, loss: 0.2122 +2023-03-04 13:03:48,121 - mmseg - INFO - Iter [18900/80000] lr: 7.500e-05, eta: 3:59:49, time: 0.188, data_time: 0.007, memory: 52403, decode.loss_ce: 0.2129, decode.acc_seg: 91.3321, loss: 0.2129 +2023-03-04 13:03:57,083 - mmseg - INFO - Iter [18950/80000] lr: 7.500e-05, eta: 3:59:22, time: 0.179, data_time: 0.007, memory: 52403, decode.loss_ce: 0.2079, decode.acc_seg: 91.4802, loss: 0.2079 +2023-03-04 13:04:05,744 - mmseg - INFO - Exp name: ablation_segformer_mit_b2_segformer_head_unet_fc_single_step_ade_pretrained_freeze_embed_80k_ade20k151_mask.py +2023-03-04 13:04:05,744 - mmseg - INFO - Iter [19000/80000] lr: 7.500e-05, eta: 3:58:53, time: 0.173, data_time: 0.007, memory: 52403, decode.loss_ce: 0.2179, decode.acc_seg: 91.2185, loss: 0.2179 +2023-03-04 13:04:14,821 - mmseg - INFO - Iter [19050/80000] lr: 7.500e-05, eta: 3:58:27, time: 0.182, data_time: 0.007, memory: 52403, decode.loss_ce: 0.2099, decode.acc_seg: 91.3194, loss: 0.2099 +2023-03-04 13:04:23,721 - mmseg - INFO - Iter [19100/80000] lr: 7.500e-05, eta: 3:57:59, time: 0.178, data_time: 0.007, memory: 52403, decode.loss_ce: 0.2142, decode.acc_seg: 91.3111, loss: 0.2142 +2023-03-04 13:04:32,303 - mmseg - INFO - Iter [19150/80000] lr: 7.500e-05, eta: 3:57:30, time: 0.172, data_time: 0.007, memory: 52403, decode.loss_ce: 0.2123, decode.acc_seg: 91.4313, loss: 0.2123 +2023-03-04 13:04:41,403 - mmseg - INFO - Iter [19200/80000] lr: 7.500e-05, eta: 3:57:05, time: 0.182, data_time: 0.007, memory: 52403, decode.loss_ce: 0.2122, decode.acc_seg: 91.2491, loss: 0.2122 +2023-03-04 13:04:50,502 - mmseg - INFO - Iter [19250/80000] lr: 7.500e-05, eta: 3:56:39, time: 0.182, data_time: 0.008, memory: 52403, decode.loss_ce: 0.2143, decode.acc_seg: 91.3143, loss: 0.2143 +2023-03-04 13:04:59,268 - mmseg - INFO - Iter [19300/80000] lr: 7.500e-05, eta: 3:56:11, time: 0.175, data_time: 0.007, memory: 52403, decode.loss_ce: 0.2084, decode.acc_seg: 91.4961, loss: 0.2084 +2023-03-04 13:05:08,002 - mmseg - INFO - Iter [19350/80000] lr: 7.500e-05, eta: 3:55:44, time: 0.175, data_time: 0.007, memory: 52403, decode.loss_ce: 0.2214, decode.acc_seg: 91.0317, loss: 0.2214 +2023-03-04 13:05:19,406 - mmseg - INFO - Iter [19400/80000] lr: 7.500e-05, eta: 3:55:31, time: 0.228, data_time: 0.060, memory: 52403, decode.loss_ce: 0.2066, decode.acc_seg: 91.3709, loss: 0.2066 +2023-03-04 13:05:28,420 - mmseg - INFO - Iter [19450/80000] lr: 7.500e-05, eta: 3:55:05, time: 0.180, data_time: 0.007, memory: 52403, decode.loss_ce: 0.2131, decode.acc_seg: 91.1982, loss: 0.2131 +2023-03-04 13:05:37,149 - mmseg - INFO - Iter [19500/80000] lr: 7.500e-05, eta: 3:54:38, time: 0.175, data_time: 0.007, memory: 52403, decode.loss_ce: 0.2093, decode.acc_seg: 91.3541, loss: 0.2093 +2023-03-04 13:05:46,581 - mmseg - INFO - Iter [19550/80000] lr: 7.500e-05, eta: 3:54:15, time: 0.189, data_time: 0.007, memory: 52403, decode.loss_ce: 0.2103, decode.acc_seg: 91.3180, loss: 0.2103 +2023-03-04 13:05:55,499 - mmseg - INFO - Iter [19600/80000] lr: 7.500e-05, eta: 3:53:49, time: 0.178, data_time: 0.007, memory: 52403, decode.loss_ce: 0.2143, decode.acc_seg: 91.1690, loss: 0.2143 +2023-03-04 13:06:04,523 - mmseg - INFO - Iter [19650/80000] lr: 7.500e-05, eta: 3:53:24, time: 0.181, data_time: 0.007, memory: 52403, decode.loss_ce: 0.2018, decode.acc_seg: 91.6612, loss: 0.2018 +2023-03-04 13:06:13,307 - mmseg - INFO - Iter [19700/80000] lr: 7.500e-05, eta: 3:52:58, time: 0.176, data_time: 0.007, memory: 52403, decode.loss_ce: 0.2174, decode.acc_seg: 91.1636, loss: 0.2174 +2023-03-04 13:06:22,278 - mmseg - INFO - Iter [19750/80000] lr: 7.500e-05, eta: 3:52:33, time: 0.179, data_time: 0.007, memory: 52403, decode.loss_ce: 0.2109, decode.acc_seg: 91.3916, loss: 0.2109 +2023-03-04 13:06:31,908 - mmseg - INFO - Iter [19800/80000] lr: 7.500e-05, eta: 3:52:12, time: 0.193, data_time: 0.007, memory: 52403, decode.loss_ce: 0.2097, decode.acc_seg: 91.3568, loss: 0.2097 +2023-03-04 13:06:41,045 - mmseg - INFO - Iter [19850/80000] lr: 7.500e-05, eta: 3:51:48, time: 0.183, data_time: 0.007, memory: 52403, decode.loss_ce: 0.2115, decode.acc_seg: 91.3003, loss: 0.2115 +2023-03-04 13:06:50,082 - mmseg - INFO - Iter [19900/80000] lr: 7.500e-05, eta: 3:51:23, time: 0.181, data_time: 0.007, memory: 52403, decode.loss_ce: 0.2106, decode.acc_seg: 91.3148, loss: 0.2106 +2023-03-04 13:06:59,104 - mmseg - INFO - Iter [19950/80000] lr: 7.500e-05, eta: 3:50:59, time: 0.180, data_time: 0.007, memory: 52403, decode.loss_ce: 0.2186, decode.acc_seg: 91.0340, loss: 0.2186 +2023-03-04 13:07:10,512 - mmseg - INFO - Exp name: ablation_segformer_mit_b2_segformer_head_unet_fc_single_step_ade_pretrained_freeze_embed_80k_ade20k151_mask.py +2023-03-04 13:07:10,512 - mmseg - INFO - Iter [20000/80000] lr: 7.500e-05, eta: 3:50:47, time: 0.228, data_time: 0.053, memory: 52403, decode.loss_ce: 0.2150, decode.acc_seg: 91.2163, loss: 0.2150 +2023-03-04 13:07:19,698 - mmseg - INFO - Iter [20050/80000] lr: 3.750e-05, eta: 3:50:24, time: 0.184, data_time: 0.007, memory: 52403, decode.loss_ce: 0.2130, decode.acc_seg: 91.2608, loss: 0.2130 +2023-03-04 13:07:28,474 - mmseg - INFO - Iter [20100/80000] lr: 3.750e-05, eta: 3:49:59, time: 0.176, data_time: 0.007, memory: 52403, decode.loss_ce: 0.2104, decode.acc_seg: 91.2894, loss: 0.2104 +2023-03-04 13:07:37,376 - mmseg - INFO - Iter [20150/80000] lr: 3.750e-05, eta: 3:49:34, time: 0.178, data_time: 0.007, memory: 52403, decode.loss_ce: 0.2093, decode.acc_seg: 91.4397, loss: 0.2093 +2023-03-04 13:07:46,578 - mmseg - INFO - Iter [20200/80000] lr: 3.750e-05, eta: 3:49:11, time: 0.184, data_time: 0.007, memory: 52403, decode.loss_ce: 0.2086, decode.acc_seg: 91.3074, loss: 0.2086 +2023-03-04 13:07:55,303 - mmseg - INFO - Iter [20250/80000] lr: 3.750e-05, eta: 3:48:46, time: 0.174, data_time: 0.007, memory: 52403, decode.loss_ce: 0.2067, decode.acc_seg: 91.4120, loss: 0.2067 +2023-03-04 13:08:03,910 - mmseg - INFO - Iter [20300/80000] lr: 3.750e-05, eta: 3:48:21, time: 0.172, data_time: 0.007, memory: 52403, decode.loss_ce: 0.2184, decode.acc_seg: 91.1236, loss: 0.2184 +2023-03-04 13:08:12,888 - mmseg - INFO - Iter [20350/80000] lr: 3.750e-05, eta: 3:47:57, time: 0.180, data_time: 0.007, memory: 52403, decode.loss_ce: 0.2007, decode.acc_seg: 91.7575, loss: 0.2007 +2023-03-04 13:08:21,784 - mmseg - INFO - Iter [20400/80000] lr: 3.750e-05, eta: 3:47:34, time: 0.178, data_time: 0.007, memory: 52403, decode.loss_ce: 0.2103, decode.acc_seg: 91.4608, loss: 0.2103 +2023-03-04 13:08:30,649 - mmseg - INFO - Iter [20450/80000] lr: 3.750e-05, eta: 3:47:10, time: 0.177, data_time: 0.007, memory: 52403, decode.loss_ce: 0.2103, decode.acc_seg: 91.4769, loss: 0.2103 +2023-03-04 13:08:40,411 - mmseg - INFO - Iter [20500/80000] lr: 3.750e-05, eta: 3:46:50, time: 0.195, data_time: 0.007, memory: 52403, decode.loss_ce: 0.2042, decode.acc_seg: 91.6048, loss: 0.2042 +2023-03-04 13:08:49,157 - mmseg - INFO - Iter [20550/80000] lr: 3.750e-05, eta: 3:46:26, time: 0.175, data_time: 0.007, memory: 52403, decode.loss_ce: 0.2090, decode.acc_seg: 91.5206, loss: 0.2090 +2023-03-04 13:08:58,099 - mmseg - INFO - Iter [20600/80000] lr: 3.750e-05, eta: 3:46:03, time: 0.179, data_time: 0.007, memory: 52403, decode.loss_ce: 0.2121, decode.acc_seg: 91.4639, loss: 0.2121 +2023-03-04 13:09:09,657 - mmseg - INFO - Iter [20650/80000] lr: 3.750e-05, eta: 3:45:52, time: 0.231, data_time: 0.057, memory: 52403, decode.loss_ce: 0.2094, decode.acc_seg: 91.3661, loss: 0.2094 +2023-03-04 13:09:18,393 - mmseg - INFO - Iter [20700/80000] lr: 3.750e-05, eta: 3:45:28, time: 0.175, data_time: 0.007, memory: 52403, decode.loss_ce: 0.2157, decode.acc_seg: 91.0870, loss: 0.2157 +2023-03-04 13:09:27,157 - mmseg - INFO - Iter [20750/80000] lr: 3.750e-05, eta: 3:45:05, time: 0.175, data_time: 0.007, memory: 52403, decode.loss_ce: 0.1953, decode.acc_seg: 91.8990, loss: 0.1953 +2023-03-04 13:09:36,685 - mmseg - INFO - Iter [20800/80000] lr: 3.750e-05, eta: 3:44:45, time: 0.191, data_time: 0.007, memory: 52403, decode.loss_ce: 0.2042, decode.acc_seg: 91.5203, loss: 0.2042 +2023-03-04 13:09:45,425 - mmseg - INFO - Iter [20850/80000] lr: 3.750e-05, eta: 3:44:21, time: 0.175, data_time: 0.007, memory: 52403, decode.loss_ce: 0.1980, decode.acc_seg: 91.9444, loss: 0.1980 +2023-03-04 13:09:54,839 - mmseg - INFO - Iter [20900/80000] lr: 3.750e-05, eta: 3:44:00, time: 0.188, data_time: 0.007, memory: 52403, decode.loss_ce: 0.2113, decode.acc_seg: 91.3751, loss: 0.2113 +2023-03-04 13:10:03,625 - mmseg - INFO - Iter [20950/80000] lr: 3.750e-05, eta: 3:43:37, time: 0.176, data_time: 0.007, memory: 52403, decode.loss_ce: 0.2080, decode.acc_seg: 91.5971, loss: 0.2080 +2023-03-04 13:10:12,836 - mmseg - INFO - Exp name: ablation_segformer_mit_b2_segformer_head_unet_fc_single_step_ade_pretrained_freeze_embed_80k_ade20k151_mask.py +2023-03-04 13:10:12,836 - mmseg - INFO - Iter [21000/80000] lr: 3.750e-05, eta: 3:43:16, time: 0.184, data_time: 0.007, memory: 52403, decode.loss_ce: 0.2065, decode.acc_seg: 91.6335, loss: 0.2065 +2023-03-04 13:10:21,812 - mmseg - INFO - Iter [21050/80000] lr: 3.750e-05, eta: 3:42:54, time: 0.180, data_time: 0.007, memory: 52403, decode.loss_ce: 0.2095, decode.acc_seg: 91.5893, loss: 0.2095 +2023-03-04 13:10:30,591 - mmseg - INFO - Iter [21100/80000] lr: 3.750e-05, eta: 3:42:31, time: 0.176, data_time: 0.007, memory: 52403, decode.loss_ce: 0.2213, decode.acc_seg: 91.0963, loss: 0.2213 +2023-03-04 13:10:39,225 - mmseg - INFO - Iter [21150/80000] lr: 3.750e-05, eta: 3:42:08, time: 0.173, data_time: 0.007, memory: 52403, decode.loss_ce: 0.2089, decode.acc_seg: 91.3370, loss: 0.2089 +2023-03-04 13:10:48,409 - mmseg - INFO - Iter [21200/80000] lr: 3.750e-05, eta: 3:41:47, time: 0.184, data_time: 0.007, memory: 52403, decode.loss_ce: 0.2059, decode.acc_seg: 91.5901, loss: 0.2059 +2023-03-04 13:10:57,658 - mmseg - INFO - Iter [21250/80000] lr: 3.750e-05, eta: 3:41:27, time: 0.185, data_time: 0.007, memory: 52403, decode.loss_ce: 0.2059, decode.acc_seg: 91.5184, loss: 0.2059 +2023-03-04 13:11:09,315 - mmseg - INFO - Iter [21300/80000] lr: 3.750e-05, eta: 3:41:17, time: 0.233, data_time: 0.054, memory: 52403, decode.loss_ce: 0.2114, decode.acc_seg: 91.3248, loss: 0.2114 +2023-03-04 13:11:18,073 - mmseg - INFO - Iter [21350/80000] lr: 3.750e-05, eta: 3:40:54, time: 0.175, data_time: 0.007, memory: 52403, decode.loss_ce: 0.2030, decode.acc_seg: 91.6891, loss: 0.2030 +2023-03-04 13:11:27,195 - mmseg - INFO - Iter [21400/80000] lr: 3.750e-05, eta: 3:40:33, time: 0.182, data_time: 0.007, memory: 52403, decode.loss_ce: 0.2092, decode.acc_seg: 91.4930, loss: 0.2092 +2023-03-04 13:11:36,098 - mmseg - INFO - Iter [21450/80000] lr: 3.750e-05, eta: 3:40:12, time: 0.178, data_time: 0.007, memory: 52403, decode.loss_ce: 0.2071, decode.acc_seg: 91.6045, loss: 0.2071 +2023-03-04 13:11:44,970 - mmseg - INFO - Iter [21500/80000] lr: 3.750e-05, eta: 3:39:50, time: 0.177, data_time: 0.008, memory: 52403, decode.loss_ce: 0.2052, decode.acc_seg: 91.6296, loss: 0.2052 +2023-03-04 13:11:54,055 - mmseg - INFO - Iter [21550/80000] lr: 3.750e-05, eta: 3:39:29, time: 0.182, data_time: 0.007, memory: 52403, decode.loss_ce: 0.2108, decode.acc_seg: 91.2716, loss: 0.2108 +2023-03-04 13:12:03,478 - mmseg - INFO - Iter [21600/80000] lr: 3.750e-05, eta: 3:39:10, time: 0.188, data_time: 0.006, memory: 52403, decode.loss_ce: 0.2061, decode.acc_seg: 91.4820, loss: 0.2061 +2023-03-04 13:12:12,801 - mmseg - INFO - Iter [21650/80000] lr: 3.750e-05, eta: 3:38:51, time: 0.187, data_time: 0.007, memory: 52403, decode.loss_ce: 0.2015, decode.acc_seg: 91.5668, loss: 0.2015 +2023-03-04 13:12:21,389 - mmseg - INFO - Iter [21700/80000] lr: 3.750e-05, eta: 3:38:28, time: 0.172, data_time: 0.007, memory: 52403, decode.loss_ce: 0.2005, decode.acc_seg: 91.6055, loss: 0.2005 +2023-03-04 13:12:30,730 - mmseg - INFO - Iter [21750/80000] lr: 3.750e-05, eta: 3:38:09, time: 0.187, data_time: 0.007, memory: 52403, decode.loss_ce: 0.2090, decode.acc_seg: 91.4171, loss: 0.2090 +2023-03-04 13:12:39,773 - mmseg - INFO - Iter [21800/80000] lr: 3.750e-05, eta: 3:37:48, time: 0.181, data_time: 0.007, memory: 52403, decode.loss_ce: 0.2061, decode.acc_seg: 91.6253, loss: 0.2061 +2023-03-04 13:12:49,133 - mmseg - INFO - Iter [21850/80000] lr: 3.750e-05, eta: 3:37:29, time: 0.187, data_time: 0.007, memory: 52403, decode.loss_ce: 0.2091, decode.acc_seg: 91.5129, loss: 0.2091 +2023-03-04 13:13:00,738 - mmseg - INFO - Iter [21900/80000] lr: 3.750e-05, eta: 3:37:20, time: 0.232, data_time: 0.056, memory: 52403, decode.loss_ce: 0.2073, decode.acc_seg: 91.4861, loss: 0.2073 +2023-03-04 13:13:09,345 - mmseg - INFO - Iter [21950/80000] lr: 3.750e-05, eta: 3:36:57, time: 0.172, data_time: 0.007, memory: 52403, decode.loss_ce: 0.2005, decode.acc_seg: 91.7753, loss: 0.2005 +2023-03-04 13:13:18,440 - mmseg - INFO - Exp name: ablation_segformer_mit_b2_segformer_head_unet_fc_single_step_ade_pretrained_freeze_embed_80k_ade20k151_mask.py +2023-03-04 13:13:18,440 - mmseg - INFO - Iter [22000/80000] lr: 3.750e-05, eta: 3:36:37, time: 0.182, data_time: 0.007, memory: 52403, decode.loss_ce: 0.2094, decode.acc_seg: 91.4905, loss: 0.2094 +2023-03-04 13:13:27,267 - mmseg - INFO - Iter [22050/80000] lr: 3.750e-05, eta: 3:36:16, time: 0.177, data_time: 0.007, memory: 52403, decode.loss_ce: 0.2054, decode.acc_seg: 91.5169, loss: 0.2054 +2023-03-04 13:13:36,091 - mmseg - INFO - Iter [22100/80000] lr: 3.750e-05, eta: 3:35:55, time: 0.177, data_time: 0.007, memory: 52403, decode.loss_ce: 0.2031, decode.acc_seg: 91.6005, loss: 0.2031 +2023-03-04 13:13:44,885 - mmseg - INFO - Iter [22150/80000] lr: 3.750e-05, eta: 3:35:34, time: 0.176, data_time: 0.007, memory: 52403, decode.loss_ce: 0.2008, decode.acc_seg: 91.8827, loss: 0.2008 +2023-03-04 13:13:53,697 - mmseg - INFO - Iter [22200/80000] lr: 3.750e-05, eta: 3:35:14, time: 0.176, data_time: 0.007, memory: 52403, decode.loss_ce: 0.1954, decode.acc_seg: 92.0201, loss: 0.1954 +2023-03-04 13:14:02,355 - mmseg - INFO - Iter [22250/80000] lr: 3.750e-05, eta: 3:34:52, time: 0.173, data_time: 0.007, memory: 52403, decode.loss_ce: 0.2019, decode.acc_seg: 91.7488, loss: 0.2019 +2023-03-04 13:14:11,819 - mmseg - INFO - Iter [22300/80000] lr: 3.750e-05, eta: 3:34:34, time: 0.190, data_time: 0.007, memory: 52403, decode.loss_ce: 0.2153, decode.acc_seg: 91.2050, loss: 0.2153 +2023-03-04 13:14:20,618 - mmseg - INFO - Iter [22350/80000] lr: 3.750e-05, eta: 3:34:14, time: 0.176, data_time: 0.007, memory: 52403, decode.loss_ce: 0.1966, decode.acc_seg: 91.8568, loss: 0.1966 +2023-03-04 13:14:29,613 - mmseg - INFO - Iter [22400/80000] lr: 3.750e-05, eta: 3:33:54, time: 0.180, data_time: 0.007, memory: 52403, decode.loss_ce: 0.2010, decode.acc_seg: 91.6159, loss: 0.2010 +2023-03-04 13:14:38,877 - mmseg - INFO - Iter [22450/80000] lr: 3.750e-05, eta: 3:33:35, time: 0.185, data_time: 0.007, memory: 52403, decode.loss_ce: 0.2184, decode.acc_seg: 91.0539, loss: 0.2184 +2023-03-04 13:14:48,149 - mmseg - INFO - Iter [22500/80000] lr: 3.750e-05, eta: 3:33:17, time: 0.186, data_time: 0.008, memory: 52403, decode.loss_ce: 0.2084, decode.acc_seg: 91.3579, loss: 0.2084 +2023-03-04 13:14:59,219 - mmseg - INFO - Iter [22550/80000] lr: 3.750e-05, eta: 3:33:05, time: 0.221, data_time: 0.055, memory: 52403, decode.loss_ce: 0.1993, decode.acc_seg: 91.7451, loss: 0.1993 +2023-03-04 13:15:08,604 - mmseg - INFO - Iter [22600/80000] lr: 3.750e-05, eta: 3:32:47, time: 0.187, data_time: 0.007, memory: 52403, decode.loss_ce: 0.2062, decode.acc_seg: 91.5875, loss: 0.2062 +2023-03-04 13:15:17,709 - mmseg - INFO - Iter [22650/80000] lr: 3.750e-05, eta: 3:32:28, time: 0.182, data_time: 0.007, memory: 52403, decode.loss_ce: 0.2022, decode.acc_seg: 91.6448, loss: 0.2022 +2023-03-04 13:15:26,806 - mmseg - INFO - Iter [22700/80000] lr: 3.750e-05, eta: 3:32:09, time: 0.182, data_time: 0.007, memory: 52403, decode.loss_ce: 0.2055, decode.acc_seg: 91.6683, loss: 0.2055 +2023-03-04 13:15:35,520 - mmseg - INFO - Iter [22750/80000] lr: 3.750e-05, eta: 3:31:49, time: 0.174, data_time: 0.007, memory: 52403, decode.loss_ce: 0.2034, decode.acc_seg: 91.6014, loss: 0.2034 +2023-03-04 13:15:44,182 - mmseg - INFO - Iter [22800/80000] lr: 3.750e-05, eta: 3:31:28, time: 0.173, data_time: 0.007, memory: 52403, decode.loss_ce: 0.2018, decode.acc_seg: 91.5573, loss: 0.2018 +2023-03-04 13:15:53,518 - mmseg - INFO - Iter [22850/80000] lr: 3.750e-05, eta: 3:31:11, time: 0.187, data_time: 0.007, memory: 52403, decode.loss_ce: 0.2077, decode.acc_seg: 91.5367, loss: 0.2077 +2023-03-04 13:16:02,664 - mmseg - INFO - Iter [22900/80000] lr: 3.750e-05, eta: 3:30:52, time: 0.183, data_time: 0.007, memory: 52403, decode.loss_ce: 0.2033, decode.acc_seg: 91.7206, loss: 0.2033 +2023-03-04 13:16:12,251 - mmseg - INFO - Iter [22950/80000] lr: 3.750e-05, eta: 3:30:35, time: 0.192, data_time: 0.007, memory: 52403, decode.loss_ce: 0.2098, decode.acc_seg: 91.3736, loss: 0.2098 +2023-03-04 13:16:21,470 - mmseg - INFO - Exp name: ablation_segformer_mit_b2_segformer_head_unet_fc_single_step_ade_pretrained_freeze_embed_80k_ade20k151_mask.py +2023-03-04 13:16:21,470 - mmseg - INFO - Iter [23000/80000] lr: 3.750e-05, eta: 3:30:17, time: 0.185, data_time: 0.007, memory: 52403, decode.loss_ce: 0.2059, decode.acc_seg: 91.5392, loss: 0.2059 +2023-03-04 13:16:30,480 - mmseg - INFO - Iter [23050/80000] lr: 3.750e-05, eta: 3:29:58, time: 0.180, data_time: 0.007, memory: 52403, decode.loss_ce: 0.2109, decode.acc_seg: 91.2617, loss: 0.2109 +2023-03-04 13:16:39,353 - mmseg - INFO - Iter [23100/80000] lr: 3.750e-05, eta: 3:29:39, time: 0.177, data_time: 0.007, memory: 52403, decode.loss_ce: 0.2064, decode.acc_seg: 91.4099, loss: 0.2064 +2023-03-04 13:16:50,838 - mmseg - INFO - Iter [23150/80000] lr: 3.750e-05, eta: 3:29:30, time: 0.230, data_time: 0.056, memory: 52403, decode.loss_ce: 0.2077, decode.acc_seg: 91.5599, loss: 0.2077 +2023-03-04 13:17:00,483 - mmseg - INFO - Iter [23200/80000] lr: 3.750e-05, eta: 3:29:13, time: 0.193, data_time: 0.007, memory: 52403, decode.loss_ce: 0.2063, decode.acc_seg: 91.6114, loss: 0.2063 +2023-03-04 13:17:09,522 - mmseg - INFO - Iter [23250/80000] lr: 3.750e-05, eta: 3:28:55, time: 0.181, data_time: 0.007, memory: 52403, decode.loss_ce: 0.1970, decode.acc_seg: 91.8912, loss: 0.1970 +2023-03-04 13:17:18,663 - mmseg - INFO - Iter [23300/80000] lr: 3.750e-05, eta: 3:28:37, time: 0.183, data_time: 0.007, memory: 52403, decode.loss_ce: 0.2102, decode.acc_seg: 91.4239, loss: 0.2102 +2023-03-04 13:17:27,271 - mmseg - INFO - Iter [23350/80000] lr: 3.750e-05, eta: 3:28:17, time: 0.172, data_time: 0.007, memory: 52403, decode.loss_ce: 0.2034, decode.acc_seg: 91.6640, loss: 0.2034 +2023-03-04 13:17:35,956 - mmseg - INFO - Iter [23400/80000] lr: 3.750e-05, eta: 3:27:57, time: 0.174, data_time: 0.007, memory: 52403, decode.loss_ce: 0.2028, decode.acc_seg: 91.6914, loss: 0.2028 +2023-03-04 13:17:45,431 - mmseg - INFO - Iter [23450/80000] lr: 3.750e-05, eta: 3:27:40, time: 0.189, data_time: 0.007, memory: 52403, decode.loss_ce: 0.2035, decode.acc_seg: 91.6424, loss: 0.2035 +2023-03-04 13:17:54,321 - mmseg - INFO - Iter [23500/80000] lr: 3.750e-05, eta: 3:27:22, time: 0.178, data_time: 0.007, memory: 52403, decode.loss_ce: 0.2067, decode.acc_seg: 91.4770, loss: 0.2067 +2023-03-04 13:18:03,213 - mmseg - INFO - Iter [23550/80000] lr: 3.750e-05, eta: 3:27:03, time: 0.178, data_time: 0.007, memory: 52403, decode.loss_ce: 0.2075, decode.acc_seg: 91.4794, loss: 0.2075 +2023-03-04 13:18:12,429 - mmseg - INFO - Iter [23600/80000] lr: 3.750e-05, eta: 3:26:45, time: 0.184, data_time: 0.007, memory: 52403, decode.loss_ce: 0.2021, decode.acc_seg: 91.7474, loss: 0.2021 +2023-03-04 13:18:21,035 - mmseg - INFO - Iter [23650/80000] lr: 3.750e-05, eta: 3:26:26, time: 0.172, data_time: 0.007, memory: 52403, decode.loss_ce: 0.2031, decode.acc_seg: 91.4405, loss: 0.2031 +2023-03-04 13:18:30,013 - mmseg - INFO - Iter [23700/80000] lr: 3.750e-05, eta: 3:26:08, time: 0.180, data_time: 0.007, memory: 52403, decode.loss_ce: 0.2081, decode.acc_seg: 91.5527, loss: 0.2081 +2023-03-04 13:18:38,908 - mmseg - INFO - Iter [23750/80000] lr: 3.750e-05, eta: 3:25:49, time: 0.178, data_time: 0.007, memory: 52403, decode.loss_ce: 0.2142, decode.acc_seg: 91.2453, loss: 0.2142 +2023-03-04 13:18:50,986 - mmseg - INFO - Iter [23800/80000] lr: 3.750e-05, eta: 3:25:42, time: 0.242, data_time: 0.053, memory: 52403, decode.loss_ce: 0.1946, decode.acc_seg: 91.7833, loss: 0.1946 +2023-03-04 13:19:00,189 - mmseg - INFO - Iter [23850/80000] lr: 3.750e-05, eta: 3:25:25, time: 0.184, data_time: 0.007, memory: 52403, decode.loss_ce: 0.2028, decode.acc_seg: 91.6845, loss: 0.2028 +2023-03-04 13:19:09,034 - mmseg - INFO - Iter [23900/80000] lr: 3.750e-05, eta: 3:25:06, time: 0.177, data_time: 0.007, memory: 52403, decode.loss_ce: 0.2093, decode.acc_seg: 91.4628, loss: 0.2093 +2023-03-04 13:19:17,999 - mmseg - INFO - Iter [23950/80000] lr: 3.750e-05, eta: 3:24:48, time: 0.179, data_time: 0.007, memory: 52403, decode.loss_ce: 0.2069, decode.acc_seg: 91.6044, loss: 0.2069 +2023-03-04 13:19:26,771 - mmseg - INFO - Saving checkpoint at 24000 iterations +2023-03-04 13:19:27,422 - mmseg - INFO - Exp name: ablation_segformer_mit_b2_segformer_head_unet_fc_single_step_ade_pretrained_freeze_embed_80k_ade20k151_mask.py +2023-03-04 13:19:27,422 - mmseg - INFO - Iter [24000/80000] lr: 3.750e-05, eta: 3:24:32, time: 0.188, data_time: 0.007, memory: 52403, decode.loss_ce: 0.2020, decode.acc_seg: 91.7657, loss: 0.2020 +2023-03-04 13:19:42,974 - mmseg - INFO - per class results: +2023-03-04 13:19:42,980 - mmseg - INFO - ++---------------------+-------+-------+ +| Class | IoU | Acc | ++---------------------+-------+-------+ +| background | nan | nan | +| wall | 76.78 | 89.17 | +| building | 81.27 | 91.74 | +| sky | 94.31 | 97.1 | +| floor | 80.97 | 91.2 | +| tree | 73.44 | 87.44 | +| ceiling | 84.59 | 92.82 | +| road | 81.36 | 89.3 | +| bed | 86.82 | 94.88 | +| windowpane | 59.78 | 77.95 | +| grass | 67.05 | 83.46 | +| cabinet | 59.65 | 72.81 | +| sidewalk | 62.83 | 80.52 | +| person | 78.72 | 91.66 | +| earth | 36.17 | 51.6 | +| door | 44.07 | 55.74 | +| table | 58.85 | 76.19 | +| mountain | 57.71 | 73.26 | +| plant | 50.4 | 61.64 | +| curtain | 73.29 | 82.76 | +| chair | 55.27 | 67.13 | +| car | 80.94 | 92.0 | +| water | 57.51 | 75.51 | +| painting | 69.67 | 85.53 | +| sofa | 63.32 | 79.92 | +| shelf | 42.99 | 59.8 | +| house | 41.95 | 57.1 | +| sea | 59.95 | 77.0 | +| mirror | 62.21 | 68.62 | +| rug | 62.92 | 69.91 | +| field | 31.03 | 43.82 | +| armchair | 38.03 | 56.57 | +| seat | 66.36 | 81.82 | +| fence | 37.76 | 46.44 | +| desk | 45.09 | 68.95 | +| rock | 36.13 | 58.08 | +| wardrobe | 56.34 | 71.26 | +| lamp | 59.66 | 71.52 | +| bathtub | 73.87 | 81.32 | +| railing | 33.46 | 48.02 | +| cushion | 55.4 | 67.73 | +| base | 20.07 | 25.18 | +| box | 22.71 | 30.69 | +| column | 44.66 | 55.12 | +| signboard | 36.9 | 50.94 | +| chest of drawers | 35.27 | 54.26 | +| counter | 29.73 | 37.64 | +| sand | 39.41 | 53.6 | +| sink | 65.78 | 75.11 | +| skyscraper | 52.78 | 67.18 | +| fireplace | 73.92 | 86.02 | +| refrigerator | 71.04 | 86.46 | +| grandstand | 51.93 | 59.73 | +| path | 20.99 | 27.0 | +| stairs | 33.89 | 41.69 | +| runway | 64.88 | 83.01 | +| case | 47.84 | 61.99 | +| pool table | 91.04 | 93.93 | +| pillow | 58.4 | 68.33 | +| screen door | 64.83 | 72.25 | +| stairway | 21.59 | 31.61 | +| river | 11.57 | 21.21 | +| bridge | 33.9 | 39.19 | +| bookcase | 43.23 | 65.79 | +| blind | 37.07 | 41.31 | +| coffee table | 53.67 | 75.58 | +| toilet | 83.47 | 88.56 | +| flower | 38.18 | 54.65 | +| book | 43.31 | 59.11 | +| hill | 14.93 | 21.86 | +| bench | 41.46 | 55.01 | +| countertop | 53.07 | 66.99 | +| stove | 69.72 | 79.96 | +| palm | 48.55 | 69.07 | +| kitchen island | 38.2 | 64.09 | +| computer | 59.34 | 66.83 | +| swivel chair | 44.46 | 59.83 | +| boat | 68.42 | 79.79 | +| bar | 24.06 | 33.23 | +| arcade machine | 70.38 | 73.11 | +| hovel | 30.64 | 33.99 | +| bus | 76.12 | 90.51 | +| towel | 62.38 | 70.86 | +| light | 52.21 | 59.14 | +| truck | 14.97 | 20.08 | +| tower | 6.77 | 10.78 | +| chandelier | 63.24 | 77.99 | +| awning | 23.17 | 27.97 | +| streetlight | 25.0 | 33.19 | +| booth | 40.2 | 42.75 | +| television receiver | 62.8 | 77.5 | +| airplane | 58.12 | 63.36 | +| dirt track | 13.12 | 23.7 | +| apparel | 33.05 | 51.15 | +| pole | 16.8 | 23.27 | +| land | 3.61 | 5.13 | +| bannister | 9.92 | 13.01 | +| escalator | 24.23 | 25.94 | +| ottoman | 41.23 | 62.78 | +| bottle | 33.26 | 50.73 | +| buffet | 39.56 | 45.28 | +| poster | 23.47 | 35.68 | +| stage | 12.8 | 15.72 | +| van | 37.47 | 54.93 | +| ship | 74.78 | 89.86 | +| fountain | 21.14 | 21.63 | +| conveyer belt | 84.49 | 88.4 | +| canopy | 24.17 | 27.37 | +| washer | 78.83 | 80.45 | +| plaything | 21.49 | 29.93 | +| swimming pool | 71.34 | 79.42 | +| stool | 41.6 | 53.16 | +| barrel | 42.57 | 55.39 | +| basket | 24.38 | 41.19 | +| waterfall | 48.56 | 64.81 | +| tent | 94.53 | 97.66 | +| bag | 13.43 | 16.43 | +| minibike | 59.78 | 69.17 | +| cradle | 84.67 | 95.96 | +| oven | 44.43 | 64.69 | +| ball | 41.8 | 47.11 | +| food | 48.72 | 57.08 | +| step | 5.01 | 5.35 | +| tank | 46.52 | 51.22 | +| trade name | 29.36 | 37.61 | +| microwave | 68.74 | 73.43 | +| pot | 29.37 | 32.99 | +| animal | 52.41 | 57.28 | +| bicycle | 54.25 | 67.9 | +| lake | 57.5 | 62.76 | +| dishwasher | 67.44 | 75.45 | +| screen | 70.22 | 83.37 | +| blanket | 19.26 | 22.91 | +| sculpture | 56.8 | 78.52 | +| hood | 54.67 | 61.33 | +| sconce | 39.44 | 45.9 | +| vase | 34.81 | 48.04 | +| traffic light | 32.14 | 47.06 | +| tray | 6.04 | 9.54 | +| ashcan | 42.38 | 50.54 | +| fan | 54.63 | 63.17 | +| pier | 45.98 | 64.97 | +| crt screen | 8.41 | 22.96 | +| plate | 49.57 | 59.98 | +| monitor | 10.69 | 11.81 | +| bulletin board | 43.35 | 59.18 | +| shower | 0.95 | 4.45 | +| radiator | 60.18 | 67.1 | +| glass | 10.75 | 11.47 | +| clock | 30.03 | 32.19 | +| flag | 35.71 | 40.74 | ++---------------------+-------+-------+ +2023-03-04 13:19:42,980 - mmseg - INFO - Summary: +2023-03-04 13:19:42,980 - mmseg - INFO - ++-------+-------+-------+ +| aAcc | mIoU | mAcc | ++-------+-------+-------+ +| 82.33 | 47.36 | 57.94 | ++-------+-------+-------+ +2023-03-04 13:19:43,002 - mmseg - INFO - The previous best checkpoint /mnt/petrelfs/laizeqiang/mmseg-baseline/work_dirs2/ablation_segformer_mit_b2_segformer_head_unet_fc_single_step_ade_pretrained_freeze_embed_80k_ade20k151_mask/best_mIoU_iter_16000.pth was removed +2023-03-04 13:19:43,583 - mmseg - INFO - Now best checkpoint is saved as best_mIoU_iter_24000.pth. +2023-03-04 13:19:43,583 - mmseg - INFO - Best mIoU is 0.4736 at 24000 iter. +2023-03-04 13:19:43,583 - mmseg - INFO - Exp name: ablation_segformer_mit_b2_segformer_head_unet_fc_single_step_ade_pretrained_freeze_embed_80k_ade20k151_mask.py +2023-03-04 13:19:43,583 - mmseg - INFO - Iter(val) [250] aAcc: 0.8233, mIoU: 0.4736, mAcc: 0.5794, IoU.background: nan, IoU.wall: 0.7678, IoU.building: 0.8127, IoU.sky: 0.9431, IoU.floor: 0.8097, IoU.tree: 0.7344, IoU.ceiling: 0.8459, IoU.road: 0.8136, IoU.bed : 0.8682, IoU.windowpane: 0.5978, IoU.grass: 0.6705, IoU.cabinet: 0.5965, IoU.sidewalk: 0.6283, IoU.person: 0.7872, IoU.earth: 0.3617, IoU.door: 0.4407, IoU.table: 0.5885, IoU.mountain: 0.5771, IoU.plant: 0.5040, IoU.curtain: 0.7329, IoU.chair: 0.5527, IoU.car: 0.8094, IoU.water: 0.5751, IoU.painting: 0.6967, IoU.sofa: 0.6332, IoU.shelf: 0.4299, IoU.house: 0.4195, IoU.sea: 0.5995, IoU.mirror: 0.6221, IoU.rug: 0.6292, IoU.field: 0.3103, IoU.armchair: 0.3803, IoU.seat: 0.6636, IoU.fence: 0.3776, IoU.desk: 0.4509, IoU.rock: 0.3613, IoU.wardrobe: 0.5634, IoU.lamp: 0.5966, IoU.bathtub: 0.7387, IoU.railing: 0.3346, IoU.cushion: 0.5540, IoU.base: 0.2007, IoU.box: 0.2271, IoU.column: 0.4466, IoU.signboard: 0.3690, IoU.chest of drawers: 0.3527, IoU.counter: 0.2973, IoU.sand: 0.3941, IoU.sink: 0.6578, IoU.skyscraper: 0.5278, IoU.fireplace: 0.7392, IoU.refrigerator: 0.7104, IoU.grandstand: 0.5193, IoU.path: 0.2099, IoU.stairs: 0.3389, IoU.runway: 0.6488, IoU.case: 0.4784, IoU.pool table: 0.9104, IoU.pillow: 0.5840, IoU.screen door: 0.6483, IoU.stairway: 0.2159, IoU.river: 0.1157, IoU.bridge: 0.3390, IoU.bookcase: 0.4323, IoU.blind: 0.3707, IoU.coffee table: 0.5367, IoU.toilet: 0.8347, IoU.flower: 0.3818, IoU.book: 0.4331, IoU.hill: 0.1493, IoU.bench: 0.4146, IoU.countertop: 0.5307, IoU.stove: 0.6972, IoU.palm: 0.4855, IoU.kitchen island: 0.3820, IoU.computer: 0.5934, IoU.swivel chair: 0.4446, IoU.boat: 0.6842, IoU.bar: 0.2406, IoU.arcade machine: 0.7038, IoU.hovel: 0.3064, IoU.bus: 0.7612, IoU.towel: 0.6238, IoU.light: 0.5221, IoU.truck: 0.1497, IoU.tower: 0.0677, IoU.chandelier: 0.6324, IoU.awning: 0.2317, IoU.streetlight: 0.2500, IoU.booth: 0.4020, IoU.television receiver: 0.6280, IoU.airplane: 0.5812, IoU.dirt track: 0.1312, IoU.apparel: 0.3305, IoU.pole: 0.1680, IoU.land: 0.0361, IoU.bannister: 0.0992, IoU.escalator: 0.2423, IoU.ottoman: 0.4123, IoU.bottle: 0.3326, IoU.buffet: 0.3956, IoU.poster: 0.2347, IoU.stage: 0.1280, IoU.van: 0.3747, IoU.ship: 0.7478, IoU.fountain: 0.2114, IoU.conveyer belt: 0.8449, IoU.canopy: 0.2417, IoU.washer: 0.7883, IoU.plaything: 0.2149, IoU.swimming pool: 0.7134, IoU.stool: 0.4160, IoU.barrel: 0.4257, IoU.basket: 0.2438, IoU.waterfall: 0.4856, IoU.tent: 0.9453, IoU.bag: 0.1343, IoU.minibike: 0.5978, IoU.cradle: 0.8467, IoU.oven: 0.4443, IoU.ball: 0.4180, IoU.food: 0.4872, IoU.step: 0.0501, IoU.tank: 0.4652, IoU.trade name: 0.2936, IoU.microwave: 0.6874, IoU.pot: 0.2937, IoU.animal: 0.5241, IoU.bicycle: 0.5425, IoU.lake: 0.5750, IoU.dishwasher: 0.6744, IoU.screen: 0.7022, IoU.blanket: 0.1926, IoU.sculpture: 0.5680, IoU.hood: 0.5467, IoU.sconce: 0.3944, IoU.vase: 0.3481, IoU.traffic light: 0.3214, IoU.tray: 0.0604, IoU.ashcan: 0.4238, IoU.fan: 0.5463, IoU.pier: 0.4598, IoU.crt screen: 0.0841, IoU.plate: 0.4957, IoU.monitor: 0.1069, IoU.bulletin board: 0.4335, IoU.shower: 0.0095, IoU.radiator: 0.6018, IoU.glass: 0.1075, IoU.clock: 0.3003, IoU.flag: 0.3571, Acc.background: nan, Acc.wall: 0.8917, Acc.building: 0.9174, Acc.sky: 0.9710, Acc.floor: 0.9120, Acc.tree: 0.8744, Acc.ceiling: 0.9282, Acc.road: 0.8930, Acc.bed : 0.9488, Acc.windowpane: 0.7795, Acc.grass: 0.8346, Acc.cabinet: 0.7281, Acc.sidewalk: 0.8052, Acc.person: 0.9166, Acc.earth: 0.5160, Acc.door: 0.5574, Acc.table: 0.7619, Acc.mountain: 0.7326, Acc.plant: 0.6164, Acc.curtain: 0.8276, Acc.chair: 0.6713, Acc.car: 0.9200, Acc.water: 0.7551, Acc.painting: 0.8553, Acc.sofa: 0.7992, Acc.shelf: 0.5980, Acc.house: 0.5710, Acc.sea: 0.7700, Acc.mirror: 0.6862, Acc.rug: 0.6991, Acc.field: 0.4382, Acc.armchair: 0.5657, Acc.seat: 0.8182, Acc.fence: 0.4644, Acc.desk: 0.6895, Acc.rock: 0.5808, Acc.wardrobe: 0.7126, Acc.lamp: 0.7152, Acc.bathtub: 0.8132, Acc.railing: 0.4802, Acc.cushion: 0.6773, Acc.base: 0.2518, Acc.box: 0.3069, Acc.column: 0.5512, Acc.signboard: 0.5094, Acc.chest of drawers: 0.5426, Acc.counter: 0.3764, Acc.sand: 0.5360, Acc.sink: 0.7511, Acc.skyscraper: 0.6718, Acc.fireplace: 0.8602, Acc.refrigerator: 0.8646, Acc.grandstand: 0.5973, Acc.path: 0.2700, Acc.stairs: 0.4169, Acc.runway: 0.8301, Acc.case: 0.6199, Acc.pool table: 0.9393, Acc.pillow: 0.6833, Acc.screen door: 0.7225, Acc.stairway: 0.3161, Acc.river: 0.2121, Acc.bridge: 0.3919, Acc.bookcase: 0.6579, Acc.blind: 0.4131, Acc.coffee table: 0.7558, Acc.toilet: 0.8856, Acc.flower: 0.5465, Acc.book: 0.5911, Acc.hill: 0.2186, Acc.bench: 0.5501, Acc.countertop: 0.6699, Acc.stove: 0.7996, Acc.palm: 0.6907, Acc.kitchen island: 0.6409, Acc.computer: 0.6683, Acc.swivel chair: 0.5983, Acc.boat: 0.7979, Acc.bar: 0.3323, Acc.arcade machine: 0.7311, Acc.hovel: 0.3399, Acc.bus: 0.9051, Acc.towel: 0.7086, Acc.light: 0.5914, Acc.truck: 0.2008, Acc.tower: 0.1078, Acc.chandelier: 0.7799, Acc.awning: 0.2797, Acc.streetlight: 0.3319, Acc.booth: 0.4275, Acc.television receiver: 0.7750, Acc.airplane: 0.6336, Acc.dirt track: 0.2370, Acc.apparel: 0.5115, Acc.pole: 0.2327, Acc.land: 0.0513, Acc.bannister: 0.1301, Acc.escalator: 0.2594, Acc.ottoman: 0.6278, Acc.bottle: 0.5073, Acc.buffet: 0.4528, Acc.poster: 0.3568, Acc.stage: 0.1572, Acc.van: 0.5493, Acc.ship: 0.8986, Acc.fountain: 0.2163, Acc.conveyer belt: 0.8840, Acc.canopy: 0.2737, Acc.washer: 0.8045, Acc.plaything: 0.2993, Acc.swimming pool: 0.7942, Acc.stool: 0.5316, Acc.barrel: 0.5539, Acc.basket: 0.4119, Acc.waterfall: 0.6481, Acc.tent: 0.9766, Acc.bag: 0.1643, Acc.minibike: 0.6917, Acc.cradle: 0.9596, Acc.oven: 0.6469, Acc.ball: 0.4711, Acc.food: 0.5708, Acc.step: 0.0535, Acc.tank: 0.5122, Acc.trade name: 0.3761, Acc.microwave: 0.7343, Acc.pot: 0.3299, Acc.animal: 0.5728, Acc.bicycle: 0.6790, Acc.lake: 0.6276, Acc.dishwasher: 0.7545, Acc.screen: 0.8337, Acc.blanket: 0.2291, Acc.sculpture: 0.7852, Acc.hood: 0.6133, Acc.sconce: 0.4590, Acc.vase: 0.4804, Acc.traffic light: 0.4706, Acc.tray: 0.0954, Acc.ashcan: 0.5054, Acc.fan: 0.6317, Acc.pier: 0.6497, Acc.crt screen: 0.2296, Acc.plate: 0.5998, Acc.monitor: 0.1181, Acc.bulletin board: 0.5918, Acc.shower: 0.0445, Acc.radiator: 0.6710, Acc.glass: 0.1147, Acc.clock: 0.3219, Acc.flag: 0.4074 +2023-03-04 13:19:52,644 - mmseg - INFO - Iter [24050/80000] lr: 3.750e-05, eta: 3:25:11, time: 0.504, data_time: 0.331, memory: 52403, decode.loss_ce: 0.2114, decode.acc_seg: 91.3073, loss: 0.2114 +2023-03-04 13:20:01,525 - mmseg - INFO - Iter [24100/80000] lr: 3.750e-05, eta: 3:24:52, time: 0.178, data_time: 0.007, memory: 52403, decode.loss_ce: 0.2067, decode.acc_seg: 91.4400, loss: 0.2067 +2023-03-04 13:20:10,198 - mmseg - INFO - Iter [24150/80000] lr: 3.750e-05, eta: 3:24:33, time: 0.173, data_time: 0.007, memory: 52403, decode.loss_ce: 0.2095, decode.acc_seg: 91.5896, loss: 0.2095 +2023-03-04 13:20:19,038 - mmseg - INFO - Iter [24200/80000] lr: 3.750e-05, eta: 3:24:15, time: 0.177, data_time: 0.007, memory: 52403, decode.loss_ce: 0.2122, decode.acc_seg: 91.4677, loss: 0.2122 +2023-03-04 13:20:28,349 - mmseg - INFO - Iter [24250/80000] lr: 3.750e-05, eta: 3:23:58, time: 0.186, data_time: 0.007, memory: 52403, decode.loss_ce: 0.2128, decode.acc_seg: 91.2503, loss: 0.2128 +2023-03-04 13:20:37,131 - mmseg - INFO - Iter [24300/80000] lr: 3.750e-05, eta: 3:23:40, time: 0.176, data_time: 0.007, memory: 52403, decode.loss_ce: 0.2087, decode.acc_seg: 91.4959, loss: 0.2087 +2023-03-04 13:20:45,942 - mmseg - INFO - Iter [24350/80000] lr: 3.750e-05, eta: 3:23:21, time: 0.176, data_time: 0.007, memory: 52403, decode.loss_ce: 0.2020, decode.acc_seg: 91.5245, loss: 0.2020 +2023-03-04 13:20:54,908 - mmseg - INFO - Iter [24400/80000] lr: 3.750e-05, eta: 3:23:04, time: 0.179, data_time: 0.007, memory: 52403, decode.loss_ce: 0.2083, decode.acc_seg: 91.5697, loss: 0.2083 +2023-03-04 13:21:06,566 - mmseg - INFO - Iter [24450/80000] lr: 3.750e-05, eta: 3:22:55, time: 0.233, data_time: 0.056, memory: 52403, decode.loss_ce: 0.2121, decode.acc_seg: 91.4732, loss: 0.2121 +2023-03-04 13:21:15,546 - mmseg - INFO - Iter [24500/80000] lr: 3.750e-05, eta: 3:22:37, time: 0.180, data_time: 0.007, memory: 52403, decode.loss_ce: 0.2030, decode.acc_seg: 91.7299, loss: 0.2030 +2023-03-04 13:21:24,262 - mmseg - INFO - Iter [24550/80000] lr: 3.750e-05, eta: 3:22:19, time: 0.174, data_time: 0.007, memory: 52403, decode.loss_ce: 0.2276, decode.acc_seg: 90.8510, loss: 0.2276 +2023-03-04 13:21:33,029 - mmseg - INFO - Iter [24600/80000] lr: 3.750e-05, eta: 3:22:01, time: 0.175, data_time: 0.007, memory: 52403, decode.loss_ce: 0.2094, decode.acc_seg: 91.3820, loss: 0.2094 +2023-03-04 13:21:41,960 - mmseg - INFO - Iter [24650/80000] lr: 3.750e-05, eta: 3:21:43, time: 0.179, data_time: 0.007, memory: 52403, decode.loss_ce: 0.2025, decode.acc_seg: 91.5182, loss: 0.2025 +2023-03-04 13:21:50,654 - mmseg - INFO - Iter [24700/80000] lr: 3.750e-05, eta: 3:21:25, time: 0.174, data_time: 0.007, memory: 52403, decode.loss_ce: 0.2020, decode.acc_seg: 91.6653, loss: 0.2020 +2023-03-04 13:21:59,985 - mmseg - INFO - Iter [24750/80000] lr: 3.750e-05, eta: 3:21:09, time: 0.186, data_time: 0.007, memory: 52403, decode.loss_ce: 0.2041, decode.acc_seg: 91.4870, loss: 0.2041 +2023-03-04 13:22:08,913 - mmseg - INFO - Iter [24800/80000] lr: 3.750e-05, eta: 3:20:51, time: 0.179, data_time: 0.007, memory: 52403, decode.loss_ce: 0.2044, decode.acc_seg: 91.6092, loss: 0.2044 +2023-03-04 13:22:17,899 - mmseg - INFO - Iter [24850/80000] lr: 3.750e-05, eta: 3:20:34, time: 0.180, data_time: 0.007, memory: 52403, decode.loss_ce: 0.2048, decode.acc_seg: 91.6005, loss: 0.2048 +2023-03-04 13:22:26,805 - mmseg - INFO - Iter [24900/80000] lr: 3.750e-05, eta: 3:20:16, time: 0.178, data_time: 0.007, memory: 52403, decode.loss_ce: 0.2062, decode.acc_seg: 91.4926, loss: 0.2062 +2023-03-04 13:22:35,891 - mmseg - INFO - Iter [24950/80000] lr: 3.750e-05, eta: 3:20:00, time: 0.181, data_time: 0.007, memory: 52403, decode.loss_ce: 0.2036, decode.acc_seg: 91.6332, loss: 0.2036 +2023-03-04 13:22:44,759 - mmseg - INFO - Exp name: ablation_segformer_mit_b2_segformer_head_unet_fc_single_step_ade_pretrained_freeze_embed_80k_ade20k151_mask.py +2023-03-04 13:22:44,759 - mmseg - INFO - Iter [25000/80000] lr: 3.750e-05, eta: 3:19:42, time: 0.178, data_time: 0.007, memory: 52403, decode.loss_ce: 0.2086, decode.acc_seg: 91.4761, loss: 0.2086 +2023-03-04 13:22:56,153 - mmseg - INFO - Iter [25050/80000] lr: 3.750e-05, eta: 3:19:33, time: 0.228, data_time: 0.057, memory: 52403, decode.loss_ce: 0.2165, decode.acc_seg: 91.3999, loss: 0.2165 +2023-03-04 13:23:05,208 - mmseg - INFO - Iter [25100/80000] lr: 3.750e-05, eta: 3:19:16, time: 0.181, data_time: 0.007, memory: 52403, decode.loss_ce: 0.2055, decode.acc_seg: 91.6457, loss: 0.2055 +2023-03-04 13:23:14,723 - mmseg - INFO - Iter [25150/80000] lr: 3.750e-05, eta: 3:19:01, time: 0.190, data_time: 0.006, memory: 52403, decode.loss_ce: 0.2030, decode.acc_seg: 91.5751, loss: 0.2030 +2023-03-04 13:23:23,752 - mmseg - INFO - Iter [25200/80000] lr: 3.750e-05, eta: 3:18:44, time: 0.181, data_time: 0.007, memory: 52403, decode.loss_ce: 0.1990, decode.acc_seg: 91.6352, loss: 0.1990 +2023-03-04 13:23:32,377 - mmseg - INFO - Iter [25250/80000] lr: 3.750e-05, eta: 3:18:26, time: 0.173, data_time: 0.007, memory: 52403, decode.loss_ce: 0.2039, decode.acc_seg: 91.5404, loss: 0.2039 +2023-03-04 13:23:41,163 - mmseg - INFO - Iter [25300/80000] lr: 3.750e-05, eta: 3:18:08, time: 0.176, data_time: 0.007, memory: 52403, decode.loss_ce: 0.2000, decode.acc_seg: 91.6188, loss: 0.2000 +2023-03-04 13:23:50,270 - mmseg - INFO - Iter [25350/80000] lr: 3.750e-05, eta: 3:17:52, time: 0.182, data_time: 0.007, memory: 52403, decode.loss_ce: 0.1994, decode.acc_seg: 91.8090, loss: 0.1994 +2023-03-04 13:23:59,327 - mmseg - INFO - Iter [25400/80000] lr: 3.750e-05, eta: 3:17:36, time: 0.181, data_time: 0.008, memory: 52403, decode.loss_ce: 0.2020, decode.acc_seg: 91.7066, loss: 0.2020 +2023-03-04 13:24:08,042 - mmseg - INFO - Iter [25450/80000] lr: 3.750e-05, eta: 3:17:18, time: 0.174, data_time: 0.007, memory: 52403, decode.loss_ce: 0.2036, decode.acc_seg: 91.7029, loss: 0.2036 +2023-03-04 13:24:17,086 - mmseg - INFO - Iter [25500/80000] lr: 3.750e-05, eta: 3:17:01, time: 0.181, data_time: 0.007, memory: 52403, decode.loss_ce: 0.2085, decode.acc_seg: 91.5224, loss: 0.2085 +2023-03-04 13:24:26,451 - mmseg - INFO - Iter [25550/80000] lr: 3.750e-05, eta: 3:16:46, time: 0.188, data_time: 0.007, memory: 52403, decode.loss_ce: 0.2030, decode.acc_seg: 91.5565, loss: 0.2030 +2023-03-04 13:24:35,435 - mmseg - INFO - Iter [25600/80000] lr: 3.750e-05, eta: 3:16:29, time: 0.179, data_time: 0.007, memory: 52403, decode.loss_ce: 0.2129, decode.acc_seg: 91.3223, loss: 0.2129 +2023-03-04 13:24:44,144 - mmseg - INFO - Iter [25650/80000] lr: 3.750e-05, eta: 3:16:12, time: 0.174, data_time: 0.007, memory: 52403, decode.loss_ce: 0.2114, decode.acc_seg: 91.4324, loss: 0.2114 +2023-03-04 13:24:55,541 - mmseg - INFO - Iter [25700/80000] lr: 3.750e-05, eta: 3:16:03, time: 0.228, data_time: 0.053, memory: 52403, decode.loss_ce: 0.2132, decode.acc_seg: 91.2660, loss: 0.2132 +2023-03-04 13:25:04,223 - mmseg - INFO - Iter [25750/80000] lr: 3.750e-05, eta: 3:15:46, time: 0.174, data_time: 0.007, memory: 52403, decode.loss_ce: 0.2117, decode.acc_seg: 91.3313, loss: 0.2117 +2023-03-04 13:25:13,028 - mmseg - INFO - Iter [25800/80000] lr: 3.750e-05, eta: 3:15:29, time: 0.176, data_time: 0.007, memory: 52403, decode.loss_ce: 0.1982, decode.acc_seg: 91.7250, loss: 0.1982 +2023-03-04 13:25:22,062 - mmseg - INFO - Iter [25850/80000] lr: 3.750e-05, eta: 3:15:12, time: 0.180, data_time: 0.007, memory: 52403, decode.loss_ce: 0.2053, decode.acc_seg: 91.7123, loss: 0.2053 +2023-03-04 13:25:31,108 - mmseg - INFO - Iter [25900/80000] lr: 3.750e-05, eta: 3:14:56, time: 0.181, data_time: 0.007, memory: 52403, decode.loss_ce: 0.1936, decode.acc_seg: 91.8755, loss: 0.1936 +2023-03-04 13:25:40,358 - mmseg - INFO - Iter [25950/80000] lr: 3.750e-05, eta: 3:14:41, time: 0.185, data_time: 0.008, memory: 52403, decode.loss_ce: 0.2070, decode.acc_seg: 91.5460, loss: 0.2070 +2023-03-04 13:25:49,524 - mmseg - INFO - Exp name: ablation_segformer_mit_b2_segformer_head_unet_fc_single_step_ade_pretrained_freeze_embed_80k_ade20k151_mask.py +2023-03-04 13:25:49,524 - mmseg - INFO - Iter [26000/80000] lr: 3.750e-05, eta: 3:14:25, time: 0.183, data_time: 0.007, memory: 52403, decode.loss_ce: 0.2012, decode.acc_seg: 91.7445, loss: 0.2012 +2023-03-04 13:25:58,427 - mmseg - INFO - Iter [26050/80000] lr: 3.750e-05, eta: 3:14:09, time: 0.178, data_time: 0.007, memory: 52403, decode.loss_ce: 0.2072, decode.acc_seg: 91.5529, loss: 0.2072 +2023-03-04 13:26:07,175 - mmseg - INFO - Iter [26100/80000] lr: 3.750e-05, eta: 3:13:52, time: 0.175, data_time: 0.007, memory: 52403, decode.loss_ce: 0.2006, decode.acc_seg: 91.8196, loss: 0.2006 +2023-03-04 13:26:16,475 - mmseg - INFO - Iter [26150/80000] lr: 3.750e-05, eta: 3:13:36, time: 0.186, data_time: 0.007, memory: 52403, decode.loss_ce: 0.1960, decode.acc_seg: 92.0407, loss: 0.1960 +2023-03-04 13:26:25,582 - mmseg - INFO - Iter [26200/80000] lr: 3.750e-05, eta: 3:13:21, time: 0.182, data_time: 0.007, memory: 52403, decode.loss_ce: 0.2141, decode.acc_seg: 91.2061, loss: 0.2141 +2023-03-04 13:26:34,942 - mmseg - INFO - Iter [26250/80000] lr: 3.750e-05, eta: 3:13:06, time: 0.187, data_time: 0.007, memory: 52403, decode.loss_ce: 0.2054, decode.acc_seg: 91.5981, loss: 0.2054 +2023-03-04 13:26:46,236 - mmseg - INFO - Iter [26300/80000] lr: 3.750e-05, eta: 3:12:56, time: 0.226, data_time: 0.054, memory: 52403, decode.loss_ce: 0.2189, decode.acc_seg: 90.8646, loss: 0.2189 +2023-03-04 13:26:55,326 - mmseg - INFO - Iter [26350/80000] lr: 3.750e-05, eta: 3:12:41, time: 0.182, data_time: 0.007, memory: 52403, decode.loss_ce: 0.2051, decode.acc_seg: 91.6595, loss: 0.2051 +2023-03-04 13:27:04,547 - mmseg - INFO - Iter [26400/80000] lr: 3.750e-05, eta: 3:12:25, time: 0.185, data_time: 0.007, memory: 52403, decode.loss_ce: 0.2033, decode.acc_seg: 91.7534, loss: 0.2033 +2023-03-04 13:27:13,198 - mmseg - INFO - Iter [26450/80000] lr: 3.750e-05, eta: 3:12:08, time: 0.173, data_time: 0.007, memory: 52403, decode.loss_ce: 0.2032, decode.acc_seg: 91.5353, loss: 0.2032 +2023-03-04 13:27:21,987 - mmseg - INFO - Iter [26500/80000] lr: 3.750e-05, eta: 3:11:52, time: 0.176, data_time: 0.007, memory: 52403, decode.loss_ce: 0.2036, decode.acc_seg: 91.5376, loss: 0.2036 +2023-03-04 13:27:31,289 - mmseg - INFO - Iter [26550/80000] lr: 3.750e-05, eta: 3:11:37, time: 0.186, data_time: 0.007, memory: 52403, decode.loss_ce: 0.2017, decode.acc_seg: 91.5773, loss: 0.2017 +2023-03-04 13:27:40,230 - mmseg - INFO - Iter [26600/80000] lr: 3.750e-05, eta: 3:11:21, time: 0.179, data_time: 0.007, memory: 52403, decode.loss_ce: 0.2064, decode.acc_seg: 91.3112, loss: 0.2064 +2023-03-04 13:27:49,231 - mmseg - INFO - Iter [26650/80000] lr: 3.750e-05, eta: 3:11:05, time: 0.180, data_time: 0.007, memory: 52403, decode.loss_ce: 0.2077, decode.acc_seg: 91.4187, loss: 0.2077 +2023-03-04 13:27:58,063 - mmseg - INFO - Iter [26700/80000] lr: 3.750e-05, eta: 3:10:49, time: 0.177, data_time: 0.007, memory: 52403, decode.loss_ce: 0.1998, decode.acc_seg: 91.7509, loss: 0.1998 +2023-03-04 13:28:07,292 - mmseg - INFO - Iter [26750/80000] lr: 3.750e-05, eta: 3:10:34, time: 0.184, data_time: 0.007, memory: 52403, decode.loss_ce: 0.1922, decode.acc_seg: 92.0943, loss: 0.1922 +2023-03-04 13:28:16,049 - mmseg - INFO - Iter [26800/80000] lr: 3.750e-05, eta: 3:10:18, time: 0.175, data_time: 0.007, memory: 52403, decode.loss_ce: 0.2118, decode.acc_seg: 91.2092, loss: 0.2118 +2023-03-04 13:28:24,756 - mmseg - INFO - Iter [26850/80000] lr: 3.750e-05, eta: 3:10:01, time: 0.174, data_time: 0.007, memory: 52403, decode.loss_ce: 0.2059, decode.acc_seg: 91.6931, loss: 0.2059 +2023-03-04 13:28:33,502 - mmseg - INFO - Iter [26900/80000] lr: 3.750e-05, eta: 3:09:45, time: 0.175, data_time: 0.007, memory: 52403, decode.loss_ce: 0.1991, decode.acc_seg: 91.7905, loss: 0.1991 +2023-03-04 13:28:44,862 - mmseg - INFO - Iter [26950/80000] lr: 3.750e-05, eta: 3:09:36, time: 0.227, data_time: 0.053, memory: 52403, decode.loss_ce: 0.2113, decode.acc_seg: 91.3397, loss: 0.2113 +2023-03-04 13:28:53,670 - mmseg - INFO - Exp name: ablation_segformer_mit_b2_segformer_head_unet_fc_single_step_ade_pretrained_freeze_embed_80k_ade20k151_mask.py +2023-03-04 13:28:53,670 - mmseg - INFO - Iter [27000/80000] lr: 3.750e-05, eta: 3:09:20, time: 0.176, data_time: 0.007, memory: 52403, decode.loss_ce: 0.2044, decode.acc_seg: 91.5953, loss: 0.2044 +2023-03-04 13:29:02,378 - mmseg - INFO - Iter [27050/80000] lr: 3.750e-05, eta: 3:09:04, time: 0.174, data_time: 0.007, memory: 52403, decode.loss_ce: 0.2088, decode.acc_seg: 91.4465, loss: 0.2088 +2023-03-04 13:29:11,586 - mmseg - INFO - Iter [27100/80000] lr: 3.750e-05, eta: 3:08:49, time: 0.184, data_time: 0.007, memory: 52403, decode.loss_ce: 0.1986, decode.acc_seg: 91.8384, loss: 0.1986 +2023-03-04 13:29:20,441 - mmseg - INFO - Iter [27150/80000] lr: 3.750e-05, eta: 3:08:33, time: 0.177, data_time: 0.007, memory: 52403, decode.loss_ce: 0.2124, decode.acc_seg: 91.2671, loss: 0.2124 +2023-03-04 13:29:29,267 - mmseg - INFO - Iter [27200/80000] lr: 3.750e-05, eta: 3:08:17, time: 0.177, data_time: 0.007, memory: 52403, decode.loss_ce: 0.2024, decode.acc_seg: 91.7774, loss: 0.2024 +2023-03-04 13:29:38,472 - mmseg - INFO - Iter [27250/80000] lr: 3.750e-05, eta: 3:08:02, time: 0.184, data_time: 0.008, memory: 52403, decode.loss_ce: 0.2047, decode.acc_seg: 91.6400, loss: 0.2047 +2023-03-04 13:29:47,749 - mmseg - INFO - Iter [27300/80000] lr: 3.750e-05, eta: 3:07:48, time: 0.186, data_time: 0.007, memory: 52403, decode.loss_ce: 0.2141, decode.acc_seg: 91.1505, loss: 0.2141 +2023-03-04 13:29:56,515 - mmseg - INFO - Iter [27350/80000] lr: 3.750e-05, eta: 3:07:32, time: 0.175, data_time: 0.007, memory: 52403, decode.loss_ce: 0.2100, decode.acc_seg: 91.4123, loss: 0.2100 +2023-03-04 13:30:05,415 - mmseg - INFO - Iter [27400/80000] lr: 3.750e-05, eta: 3:07:16, time: 0.178, data_time: 0.007, memory: 52403, decode.loss_ce: 0.1976, decode.acc_seg: 91.8150, loss: 0.1976 +2023-03-04 13:30:14,242 - mmseg - INFO - Iter [27450/80000] lr: 3.750e-05, eta: 3:07:01, time: 0.177, data_time: 0.007, memory: 52403, decode.loss_ce: 0.1992, decode.acc_seg: 91.7768, loss: 0.1992 +2023-03-04 13:30:23,366 - mmseg - INFO - Iter [27500/80000] lr: 3.750e-05, eta: 3:06:46, time: 0.182, data_time: 0.007, memory: 52403, decode.loss_ce: 0.2092, decode.acc_seg: 91.5086, loss: 0.2092 +2023-03-04 13:30:32,558 - mmseg - INFO - Iter [27550/80000] lr: 3.750e-05, eta: 3:06:31, time: 0.184, data_time: 0.006, memory: 52403, decode.loss_ce: 0.2037, decode.acc_seg: 91.6781, loss: 0.2037 +2023-03-04 13:30:43,900 - mmseg - INFO - Iter [27600/80000] lr: 3.750e-05, eta: 3:06:22, time: 0.227, data_time: 0.057, memory: 52403, decode.loss_ce: 0.2148, decode.acc_seg: 91.3404, loss: 0.2148 +2023-03-04 13:30:53,199 - mmseg - INFO - Iter [27650/80000] lr: 3.750e-05, eta: 3:06:08, time: 0.186, data_time: 0.007, memory: 52403, decode.loss_ce: 0.2118, decode.acc_seg: 91.3478, loss: 0.2118 +2023-03-04 13:31:01,843 - mmseg - INFO - Iter [27700/80000] lr: 3.750e-05, eta: 3:05:52, time: 0.173, data_time: 0.007, memory: 52403, decode.loss_ce: 0.2048, decode.acc_seg: 91.6295, loss: 0.2048 +2023-03-04 13:31:10,703 - mmseg - INFO - Iter [27750/80000] lr: 3.750e-05, eta: 3:05:36, time: 0.177, data_time: 0.007, memory: 52403, decode.loss_ce: 0.2119, decode.acc_seg: 91.4042, loss: 0.2119 +2023-03-04 13:31:19,792 - mmseg - INFO - Iter [27800/80000] lr: 3.750e-05, eta: 3:05:22, time: 0.182, data_time: 0.007, memory: 52403, decode.loss_ce: 0.2020, decode.acc_seg: 91.6750, loss: 0.2020 +2023-03-04 13:31:28,499 - mmseg - INFO - Iter [27850/80000] lr: 3.750e-05, eta: 3:05:06, time: 0.174, data_time: 0.007, memory: 52403, decode.loss_ce: 0.2084, decode.acc_seg: 91.4942, loss: 0.2084 +2023-03-04 13:31:37,790 - mmseg - INFO - Iter [27900/80000] lr: 3.750e-05, eta: 3:04:52, time: 0.186, data_time: 0.007, memory: 52403, decode.loss_ce: 0.2126, decode.acc_seg: 91.3247, loss: 0.2126 +2023-03-04 13:31:47,216 - mmseg - INFO - Iter [27950/80000] lr: 3.750e-05, eta: 3:04:38, time: 0.189, data_time: 0.008, memory: 52403, decode.loss_ce: 0.1999, decode.acc_seg: 91.6950, loss: 0.1999 +2023-03-04 13:31:56,106 - mmseg - INFO - Exp name: ablation_segformer_mit_b2_segformer_head_unet_fc_single_step_ade_pretrained_freeze_embed_80k_ade20k151_mask.py +2023-03-04 13:31:56,106 - mmseg - INFO - Iter [28000/80000] lr: 3.750e-05, eta: 3:04:23, time: 0.178, data_time: 0.007, memory: 52403, decode.loss_ce: 0.1929, decode.acc_seg: 92.0645, loss: 0.1929 +2023-03-04 13:32:05,039 - mmseg - INFO - Iter [28050/80000] lr: 3.750e-05, eta: 3:04:08, time: 0.179, data_time: 0.007, memory: 52403, decode.loss_ce: 0.1988, decode.acc_seg: 92.0457, loss: 0.1988 +2023-03-04 13:32:14,012 - mmseg - INFO - Iter [28100/80000] lr: 3.750e-05, eta: 3:03:53, time: 0.179, data_time: 0.007, memory: 52403, decode.loss_ce: 0.2041, decode.acc_seg: 91.6208, loss: 0.2041 +2023-03-04 13:32:22,673 - mmseg - INFO - Iter [28150/80000] lr: 3.750e-05, eta: 3:03:37, time: 0.173, data_time: 0.007, memory: 52403, decode.loss_ce: 0.2102, decode.acc_seg: 91.3971, loss: 0.2102 +2023-03-04 13:32:34,221 - mmseg - INFO - Iter [28200/80000] lr: 3.750e-05, eta: 3:03:29, time: 0.231, data_time: 0.056, memory: 52403, decode.loss_ce: 0.2002, decode.acc_seg: 91.7602, loss: 0.2002 +2023-03-04 13:32:43,178 - mmseg - INFO - Iter [28250/80000] lr: 3.750e-05, eta: 3:03:14, time: 0.179, data_time: 0.007, memory: 52403, decode.loss_ce: 0.2074, decode.acc_seg: 91.3787, loss: 0.2074 +2023-03-04 13:32:52,158 - mmseg - INFO - Iter [28300/80000] lr: 3.750e-05, eta: 3:02:59, time: 0.180, data_time: 0.007, memory: 52403, decode.loss_ce: 0.2043, decode.acc_seg: 91.6551, loss: 0.2043 +2023-03-04 13:33:01,410 - mmseg - INFO - Iter [28350/80000] lr: 3.750e-05, eta: 3:02:45, time: 0.185, data_time: 0.007, memory: 52403, decode.loss_ce: 0.2106, decode.acc_seg: 91.4397, loss: 0.2106 +2023-03-04 13:33:10,529 - mmseg - INFO - Iter [28400/80000] lr: 3.750e-05, eta: 3:02:31, time: 0.183, data_time: 0.007, memory: 52403, decode.loss_ce: 0.2062, decode.acc_seg: 91.4480, loss: 0.2062 +2023-03-04 13:33:19,294 - mmseg - INFO - Iter [28450/80000] lr: 3.750e-05, eta: 3:02:15, time: 0.175, data_time: 0.007, memory: 52403, decode.loss_ce: 0.1992, decode.acc_seg: 91.7140, loss: 0.1992 +2023-03-04 13:33:27,952 - mmseg - INFO - Iter [28500/80000] lr: 3.750e-05, eta: 3:02:00, time: 0.173, data_time: 0.007, memory: 52403, decode.loss_ce: 0.2096, decode.acc_seg: 91.6152, loss: 0.2096 +2023-03-04 13:33:36,723 - mmseg - INFO - Iter [28550/80000] lr: 3.750e-05, eta: 3:01:45, time: 0.175, data_time: 0.007, memory: 52403, decode.loss_ce: 0.2048, decode.acc_seg: 91.5892, loss: 0.2048 +2023-03-04 13:33:46,141 - mmseg - INFO - Iter [28600/80000] lr: 3.750e-05, eta: 3:01:31, time: 0.189, data_time: 0.007, memory: 52403, decode.loss_ce: 0.2080, decode.acc_seg: 91.6257, loss: 0.2080 +2023-03-04 13:33:54,910 - mmseg - INFO - Iter [28650/80000] lr: 3.750e-05, eta: 3:01:16, time: 0.175, data_time: 0.007, memory: 52403, decode.loss_ce: 0.2033, decode.acc_seg: 91.6807, loss: 0.2033 +2023-03-04 13:34:03,563 - mmseg - INFO - Iter [28700/80000] lr: 3.750e-05, eta: 3:01:01, time: 0.173, data_time: 0.007, memory: 52403, decode.loss_ce: 0.2021, decode.acc_seg: 91.5743, loss: 0.2021 +2023-03-04 13:34:12,597 - mmseg - INFO - Iter [28750/80000] lr: 3.750e-05, eta: 3:00:46, time: 0.181, data_time: 0.006, memory: 52403, decode.loss_ce: 0.2011, decode.acc_seg: 91.6527, loss: 0.2011 +2023-03-04 13:34:21,363 - mmseg - INFO - Iter [28800/80000] lr: 3.750e-05, eta: 3:00:31, time: 0.175, data_time: 0.007, memory: 52403, decode.loss_ce: 0.2031, decode.acc_seg: 91.6409, loss: 0.2031 +2023-03-04 13:34:32,669 - mmseg - INFO - Iter [28850/80000] lr: 3.750e-05, eta: 3:00:22, time: 0.226, data_time: 0.054, memory: 52403, decode.loss_ce: 0.2075, decode.acc_seg: 91.4611, loss: 0.2075 +2023-03-04 13:34:41,817 - mmseg - INFO - Iter [28900/80000] lr: 3.750e-05, eta: 3:00:08, time: 0.183, data_time: 0.007, memory: 52403, decode.loss_ce: 0.2058, decode.acc_seg: 91.6247, loss: 0.2058 +2023-03-04 13:34:50,684 - mmseg - INFO - Iter [28950/80000] lr: 3.750e-05, eta: 2:59:53, time: 0.177, data_time: 0.007, memory: 52403, decode.loss_ce: 0.2088, decode.acc_seg: 91.6241, loss: 0.2088 +2023-03-04 13:34:59,933 - mmseg - INFO - Exp name: ablation_segformer_mit_b2_segformer_head_unet_fc_single_step_ade_pretrained_freeze_embed_80k_ade20k151_mask.py +2023-03-04 13:34:59,933 - mmseg - INFO - Iter [29000/80000] lr: 3.750e-05, eta: 2:59:40, time: 0.185, data_time: 0.007, memory: 52403, decode.loss_ce: 0.2010, decode.acc_seg: 91.8418, loss: 0.2010 +2023-03-04 13:35:08,616 - mmseg - INFO - Iter [29050/80000] lr: 3.750e-05, eta: 2:59:25, time: 0.174, data_time: 0.007, memory: 52403, decode.loss_ce: 0.2009, decode.acc_seg: 91.6508, loss: 0.2009 +2023-03-04 13:35:17,256 - mmseg - INFO - Iter [29100/80000] lr: 3.750e-05, eta: 2:59:09, time: 0.173, data_time: 0.007, memory: 52403, decode.loss_ce: 0.1965, decode.acc_seg: 91.9521, loss: 0.1965 +2023-03-04 13:35:25,922 - mmseg - INFO - Iter [29150/80000] lr: 3.750e-05, eta: 2:58:54, time: 0.173, data_time: 0.007, memory: 52403, decode.loss_ce: 0.2043, decode.acc_seg: 91.5450, loss: 0.2043 +2023-03-04 13:35:34,854 - mmseg - INFO - Iter [29200/80000] lr: 3.750e-05, eta: 2:58:40, time: 0.179, data_time: 0.007, memory: 52403, decode.loss_ce: 0.2095, decode.acc_seg: 91.4337, loss: 0.2095 +2023-03-04 13:35:43,529 - mmseg - INFO - Iter [29250/80000] lr: 3.750e-05, eta: 2:58:25, time: 0.173, data_time: 0.007, memory: 52403, decode.loss_ce: 0.2095, decode.acc_seg: 91.3528, loss: 0.2095 +2023-03-04 13:35:52,534 - mmseg - INFO - Iter [29300/80000] lr: 3.750e-05, eta: 2:58:10, time: 0.180, data_time: 0.007, memory: 52403, decode.loss_ce: 0.2084, decode.acc_seg: 91.2953, loss: 0.2084 +2023-03-04 13:36:01,633 - mmseg - INFO - Iter [29350/80000] lr: 3.750e-05, eta: 2:57:57, time: 0.182, data_time: 0.007, memory: 52403, decode.loss_ce: 0.2075, decode.acc_seg: 91.5191, loss: 0.2075 +2023-03-04 13:36:10,522 - mmseg - INFO - Iter [29400/80000] lr: 3.750e-05, eta: 2:57:42, time: 0.178, data_time: 0.007, memory: 52403, decode.loss_ce: 0.1948, decode.acc_seg: 92.1253, loss: 0.1948 +2023-03-04 13:36:19,553 - mmseg - INFO - Iter [29450/80000] lr: 3.750e-05, eta: 2:57:28, time: 0.181, data_time: 0.007, memory: 52403, decode.loss_ce: 0.2025, decode.acc_seg: 91.6703, loss: 0.2025 +2023-03-04 13:36:30,770 - mmseg - INFO - Iter [29500/80000] lr: 3.750e-05, eta: 2:57:19, time: 0.224, data_time: 0.055, memory: 52403, decode.loss_ce: 0.2067, decode.acc_seg: 91.4323, loss: 0.2067 +2023-03-04 13:36:39,394 - mmseg - INFO - Iter [29550/80000] lr: 3.750e-05, eta: 2:57:04, time: 0.172, data_time: 0.007, memory: 52403, decode.loss_ce: 0.2089, decode.acc_seg: 91.3480, loss: 0.2089 +2023-03-04 13:36:48,338 - mmseg - INFO - Iter [29600/80000] lr: 3.750e-05, eta: 2:56:50, time: 0.179, data_time: 0.007, memory: 52403, decode.loss_ce: 0.2009, decode.acc_seg: 91.7871, loss: 0.2009 +2023-03-04 13:36:57,350 - mmseg - INFO - Iter [29650/80000] lr: 3.750e-05, eta: 2:56:36, time: 0.180, data_time: 0.007, memory: 52403, decode.loss_ce: 0.2013, decode.acc_seg: 91.6703, loss: 0.2013 +2023-03-04 13:37:06,072 - mmseg - INFO - Iter [29700/80000] lr: 3.750e-05, eta: 2:56:21, time: 0.175, data_time: 0.007, memory: 52403, decode.loss_ce: 0.2017, decode.acc_seg: 91.6504, loss: 0.2017 +2023-03-04 13:37:15,584 - mmseg - INFO - Iter [29750/80000] lr: 3.750e-05, eta: 2:56:08, time: 0.190, data_time: 0.007, memory: 52403, decode.loss_ce: 0.2077, decode.acc_seg: 91.7211, loss: 0.2077 +2023-03-04 13:37:24,273 - mmseg - INFO - Iter [29800/80000] lr: 3.750e-05, eta: 2:55:54, time: 0.174, data_time: 0.007, memory: 52403, decode.loss_ce: 0.1986, decode.acc_seg: 91.8422, loss: 0.1986 +2023-03-04 13:37:32,838 - mmseg - INFO - Iter [29850/80000] lr: 3.750e-05, eta: 2:55:39, time: 0.171, data_time: 0.007, memory: 52403, decode.loss_ce: 0.2040, decode.acc_seg: 91.5913, loss: 0.2040 +2023-03-04 13:37:41,783 - mmseg - INFO - Iter [29900/80000] lr: 3.750e-05, eta: 2:55:24, time: 0.179, data_time: 0.007, memory: 52403, decode.loss_ce: 0.2107, decode.acc_seg: 91.3644, loss: 0.2107 +2023-03-04 13:37:50,745 - mmseg - INFO - Iter [29950/80000] lr: 3.750e-05, eta: 2:55:10, time: 0.179, data_time: 0.007, memory: 52403, decode.loss_ce: 0.2025, decode.acc_seg: 91.7204, loss: 0.2025 +2023-03-04 13:37:59,530 - mmseg - INFO - Exp name: ablation_segformer_mit_b2_segformer_head_unet_fc_single_step_ade_pretrained_freeze_embed_80k_ade20k151_mask.py +2023-03-04 13:37:59,531 - mmseg - INFO - Iter [30000/80000] lr: 3.750e-05, eta: 2:54:56, time: 0.176, data_time: 0.007, memory: 52403, decode.loss_ce: 0.2127, decode.acc_seg: 91.2244, loss: 0.2127 +2023-03-04 13:38:08,189 - mmseg - INFO - Iter [30050/80000] lr: 1.875e-05, eta: 2:54:41, time: 0.173, data_time: 0.007, memory: 52403, decode.loss_ce: 0.1933, decode.acc_seg: 92.0222, loss: 0.1933 +2023-03-04 13:38:19,239 - mmseg - INFO - Iter [30100/80000] lr: 1.875e-05, eta: 2:54:32, time: 0.221, data_time: 0.054, memory: 52403, decode.loss_ce: 0.2052, decode.acc_seg: 91.5617, loss: 0.2052 +2023-03-04 13:38:28,165 - mmseg - INFO - Iter [30150/80000] lr: 1.875e-05, eta: 2:54:18, time: 0.179, data_time: 0.007, memory: 52403, decode.loss_ce: 0.2017, decode.acc_seg: 91.7708, loss: 0.2017 +2023-03-04 13:38:36,910 - mmseg - INFO - Iter [30200/80000] lr: 1.875e-05, eta: 2:54:04, time: 0.175, data_time: 0.007, memory: 52403, decode.loss_ce: 0.2066, decode.acc_seg: 91.5757, loss: 0.2066 +2023-03-04 13:38:45,893 - mmseg - INFO - Iter [30250/80000] lr: 1.875e-05, eta: 2:53:50, time: 0.180, data_time: 0.007, memory: 52403, decode.loss_ce: 0.2059, decode.acc_seg: 91.4933, loss: 0.2059 +2023-03-04 13:38:54,844 - mmseg - INFO - Iter [30300/80000] lr: 1.875e-05, eta: 2:53:36, time: 0.179, data_time: 0.007, memory: 52403, decode.loss_ce: 0.2037, decode.acc_seg: 91.6790, loss: 0.2037 +2023-03-04 13:39:03,940 - mmseg - INFO - Iter [30350/80000] lr: 1.875e-05, eta: 2:53:22, time: 0.182, data_time: 0.007, memory: 52403, decode.loss_ce: 0.1920, decode.acc_seg: 91.9796, loss: 0.1920 +2023-03-04 13:39:13,242 - mmseg - INFO - Iter [30400/80000] lr: 1.875e-05, eta: 2:53:09, time: 0.186, data_time: 0.007, memory: 52403, decode.loss_ce: 0.2092, decode.acc_seg: 91.4012, loss: 0.2092 +2023-03-04 13:39:22,222 - mmseg - INFO - Iter [30450/80000] lr: 1.875e-05, eta: 2:52:56, time: 0.180, data_time: 0.007, memory: 52403, decode.loss_ce: 0.2018, decode.acc_seg: 91.8783, loss: 0.2018 +2023-03-04 13:39:31,128 - mmseg - INFO - Iter [30500/80000] lr: 1.875e-05, eta: 2:52:42, time: 0.178, data_time: 0.007, memory: 52403, decode.loss_ce: 0.2128, decode.acc_seg: 91.4278, loss: 0.2128 +2023-03-04 13:39:39,777 - mmseg - INFO - Iter [30550/80000] lr: 1.875e-05, eta: 2:52:27, time: 0.173, data_time: 0.007, memory: 52403, decode.loss_ce: 0.1960, decode.acc_seg: 91.9256, loss: 0.1960 +2023-03-04 13:39:48,584 - mmseg - INFO - Iter [30600/80000] lr: 1.875e-05, eta: 2:52:13, time: 0.176, data_time: 0.007, memory: 52403, decode.loss_ce: 0.2060, decode.acc_seg: 91.6120, loss: 0.2060 +2023-03-04 13:39:57,384 - mmseg - INFO - Iter [30650/80000] lr: 1.875e-05, eta: 2:51:59, time: 0.176, data_time: 0.007, memory: 52403, decode.loss_ce: 0.2036, decode.acc_seg: 91.6498, loss: 0.2036 +2023-03-04 13:40:07,070 - mmseg - INFO - Iter [30700/80000] lr: 1.875e-05, eta: 2:51:47, time: 0.194, data_time: 0.007, memory: 52403, decode.loss_ce: 0.2025, decode.acc_seg: 91.6550, loss: 0.2025 +2023-03-04 13:40:18,482 - mmseg - INFO - Iter [30750/80000] lr: 1.875e-05, eta: 2:51:39, time: 0.228, data_time: 0.057, memory: 52403, decode.loss_ce: 0.2011, decode.acc_seg: 91.6282, loss: 0.2011 +2023-03-04 13:40:27,280 - mmseg - INFO - Iter [30800/80000] lr: 1.875e-05, eta: 2:51:25, time: 0.176, data_time: 0.007, memory: 52403, decode.loss_ce: 0.2083, decode.acc_seg: 91.4892, loss: 0.2083 +2023-03-04 13:40:35,902 - mmseg - INFO - Iter [30850/80000] lr: 1.875e-05, eta: 2:51:10, time: 0.172, data_time: 0.007, memory: 52403, decode.loss_ce: 0.2044, decode.acc_seg: 91.4082, loss: 0.2044 +2023-03-04 13:40:44,648 - mmseg - INFO - Iter [30900/80000] lr: 1.875e-05, eta: 2:50:56, time: 0.175, data_time: 0.007, memory: 52403, decode.loss_ce: 0.1995, decode.acc_seg: 91.8905, loss: 0.1995 +2023-03-04 13:40:53,256 - mmseg - INFO - Iter [30950/80000] lr: 1.875e-05, eta: 2:50:42, time: 0.172, data_time: 0.007, memory: 52403, decode.loss_ce: 0.2016, decode.acc_seg: 91.7812, loss: 0.2016 +2023-03-04 13:41:01,891 - mmseg - INFO - Exp name: ablation_segformer_mit_b2_segformer_head_unet_fc_single_step_ade_pretrained_freeze_embed_80k_ade20k151_mask.py +2023-03-04 13:41:01,891 - mmseg - INFO - Iter [31000/80000] lr: 1.875e-05, eta: 2:50:27, time: 0.173, data_time: 0.007, memory: 52403, decode.loss_ce: 0.1976, decode.acc_seg: 91.9467, loss: 0.1976 +2023-03-04 13:41:10,603 - mmseg - INFO - Iter [31050/80000] lr: 1.875e-05, eta: 2:50:13, time: 0.174, data_time: 0.007, memory: 52403, decode.loss_ce: 0.2098, decode.acc_seg: 91.3561, loss: 0.2098 +2023-03-04 13:41:19,495 - mmseg - INFO - Iter [31100/80000] lr: 1.875e-05, eta: 2:50:00, time: 0.178, data_time: 0.007, memory: 52403, decode.loss_ce: 0.2045, decode.acc_seg: 91.6921, loss: 0.2045 +2023-03-04 13:41:28,550 - mmseg - INFO - Iter [31150/80000] lr: 1.875e-05, eta: 2:49:46, time: 0.181, data_time: 0.007, memory: 52403, decode.loss_ce: 0.2011, decode.acc_seg: 91.6990, loss: 0.2011 +2023-03-04 13:41:37,425 - mmseg - INFO - Iter [31200/80000] lr: 1.875e-05, eta: 2:49:33, time: 0.177, data_time: 0.007, memory: 52403, decode.loss_ce: 0.1926, decode.acc_seg: 92.0711, loss: 0.1926 +2023-03-04 13:41:46,110 - mmseg - INFO - Iter [31250/80000] lr: 1.875e-05, eta: 2:49:18, time: 0.174, data_time: 0.007, memory: 52403, decode.loss_ce: 0.1942, decode.acc_seg: 92.0175, loss: 0.1942 +2023-03-04 13:41:55,045 - mmseg - INFO - Iter [31300/80000] lr: 1.875e-05, eta: 2:49:05, time: 0.178, data_time: 0.007, memory: 52403, decode.loss_ce: 0.1985, decode.acc_seg: 91.8371, loss: 0.1985 +2023-03-04 13:42:06,589 - mmseg - INFO - Iter [31350/80000] lr: 1.875e-05, eta: 2:48:57, time: 0.231, data_time: 0.054, memory: 52403, decode.loss_ce: 0.2142, decode.acc_seg: 91.2091, loss: 0.2142 +2023-03-04 13:42:15,558 - mmseg - INFO - Iter [31400/80000] lr: 1.875e-05, eta: 2:48:43, time: 0.179, data_time: 0.007, memory: 52403, decode.loss_ce: 0.2009, decode.acc_seg: 91.6292, loss: 0.2009 +2023-03-04 13:42:24,594 - mmseg - INFO - Iter [31450/80000] lr: 1.875e-05, eta: 2:48:30, time: 0.181, data_time: 0.007, memory: 52403, decode.loss_ce: 0.1994, decode.acc_seg: 91.8665, loss: 0.1994 +2023-03-04 13:42:33,468 - mmseg - INFO - Iter [31500/80000] lr: 1.875e-05, eta: 2:48:17, time: 0.177, data_time: 0.007, memory: 52403, decode.loss_ce: 0.1994, decode.acc_seg: 91.6718, loss: 0.1994 +2023-03-04 13:42:42,219 - mmseg - INFO - Iter [31550/80000] lr: 1.875e-05, eta: 2:48:03, time: 0.175, data_time: 0.007, memory: 52403, decode.loss_ce: 0.2076, decode.acc_seg: 91.3868, loss: 0.2076 +2023-03-04 13:42:51,208 - mmseg - INFO - Iter [31600/80000] lr: 1.875e-05, eta: 2:47:49, time: 0.180, data_time: 0.007, memory: 52403, decode.loss_ce: 0.1993, decode.acc_seg: 91.7794, loss: 0.1993 +2023-03-04 13:43:00,106 - mmseg - INFO - Iter [31650/80000] lr: 1.875e-05, eta: 2:47:36, time: 0.178, data_time: 0.007, memory: 52403, decode.loss_ce: 0.2078, decode.acc_seg: 91.4117, loss: 0.2078 +2023-03-04 13:43:08,922 - mmseg - INFO - Iter [31700/80000] lr: 1.875e-05, eta: 2:47:22, time: 0.177, data_time: 0.007, memory: 52403, decode.loss_ce: 0.2048, decode.acc_seg: 91.5070, loss: 0.2048 +2023-03-04 13:43:17,676 - mmseg - INFO - Iter [31750/80000] lr: 1.875e-05, eta: 2:47:09, time: 0.175, data_time: 0.007, memory: 52403, decode.loss_ce: 0.2020, decode.acc_seg: 91.8575, loss: 0.2020 +2023-03-04 13:43:26,598 - mmseg - INFO - Iter [31800/80000] lr: 1.875e-05, eta: 2:46:55, time: 0.178, data_time: 0.007, memory: 52403, decode.loss_ce: 0.2009, decode.acc_seg: 91.6815, loss: 0.2009 +2023-03-04 13:43:35,273 - mmseg - INFO - Iter [31850/80000] lr: 1.875e-05, eta: 2:46:41, time: 0.174, data_time: 0.007, memory: 52403, decode.loss_ce: 0.2090, decode.acc_seg: 91.4284, loss: 0.2090 +2023-03-04 13:43:44,668 - mmseg - INFO - Iter [31900/80000] lr: 1.875e-05, eta: 2:46:29, time: 0.188, data_time: 0.007, memory: 52403, decode.loss_ce: 0.1911, decode.acc_seg: 92.1423, loss: 0.1911 +2023-03-04 13:43:53,612 - mmseg - INFO - Iter [31950/80000] lr: 1.875e-05, eta: 2:46:16, time: 0.179, data_time: 0.007, memory: 52403, decode.loss_ce: 0.2002, decode.acc_seg: 91.7853, loss: 0.2002 +2023-03-04 13:44:04,676 - mmseg - INFO - Saving checkpoint at 32000 iterations +2023-03-04 13:44:05,453 - mmseg - INFO - Exp name: ablation_segformer_mit_b2_segformer_head_unet_fc_single_step_ade_pretrained_freeze_embed_80k_ade20k151_mask.py +2023-03-04 13:44:05,453 - mmseg - INFO - Iter [32000/80000] lr: 1.875e-05, eta: 2:46:08, time: 0.237, data_time: 0.055, memory: 52403, decode.loss_ce: 0.2021, decode.acc_seg: 91.8057, loss: 0.2021 +2023-03-04 13:44:21,128 - mmseg - INFO - per class results: +2023-03-04 13:44:21,134 - mmseg - INFO - ++---------------------+-------+-------+ +| Class | IoU | Acc | ++---------------------+-------+-------+ +| background | nan | nan | +| wall | 76.99 | 88.55 | +| building | 81.46 | 91.38 | +| sky | 94.37 | 97.36 | +| floor | 81.23 | 90.96 | +| tree | 74.02 | 87.4 | +| ceiling | 84.76 | 93.04 | +| road | 81.69 | 90.29 | +| bed | 86.73 | 95.84 | +| windowpane | 60.12 | 77.34 | +| grass | 66.63 | 83.61 | +| cabinet | 59.73 | 73.35 | +| sidewalk | 63.78 | 77.64 | +| person | 79.26 | 91.37 | +| earth | 34.92 | 47.76 | +| door | 44.77 | 59.46 | +| table | 59.25 | 76.14 | +| mountain | 57.2 | 72.62 | +| plant | 50.38 | 63.39 | +| curtain | 73.27 | 82.58 | +| chair | 55.79 | 69.88 | +| car | 80.79 | 92.2 | +| water | 57.59 | 75.56 | +| painting | 70.53 | 86.43 | +| sofa | 63.12 | 81.94 | +| shelf | 42.94 | 60.76 | +| house | 43.71 | 61.99 | +| sea | 60.58 | 76.95 | +| mirror | 64.27 | 72.6 | +| rug | 64.03 | 71.87 | +| field | 30.78 | 45.68 | +| armchair | 36.99 | 53.33 | +| seat | 66.21 | 82.67 | +| fence | 41.17 | 54.85 | +| desk | 45.9 | 66.09 | +| rock | 36.38 | 58.28 | +| wardrobe | 56.65 | 69.94 | +| lamp | 59.87 | 74.61 | +| bathtub | 74.93 | 83.2 | +| railing | 33.77 | 48.25 | +| cushion | 54.5 | 64.86 | +| base | 18.1 | 21.97 | +| box | 23.3 | 32.27 | +| column | 44.18 | 53.87 | +| signboard | 37.51 | 52.53 | +| chest of drawers | 35.54 | 55.45 | +| counter | 30.79 | 39.78 | +| sand | 42.4 | 57.83 | +| sink | 66.7 | 77.46 | +| skyscraper | 51.2 | 64.7 | +| fireplace | 72.81 | 85.92 | +| refrigerator | 69.68 | 87.65 | +| grandstand | 53.58 | 62.62 | +| path | 20.95 | 29.65 | +| stairs | 32.69 | 41.0 | +| runway | 66.5 | 85.4 | +| case | 46.54 | 55.61 | +| pool table | 91.42 | 94.41 | +| pillow | 59.3 | 70.18 | +| screen door | 67.97 | 75.95 | +| stairway | 22.55 | 35.65 | +| river | 12.31 | 23.5 | +| bridge | 32.91 | 39.21 | +| bookcase | 44.21 | 65.29 | +| blind | 42.24 | 49.87 | +| coffee table | 52.7 | 76.83 | +| toilet | 82.7 | 89.62 | +| flower | 38.06 | 53.28 | +| book | 43.16 | 63.2 | +| hill | 13.1 | 20.13 | +| bench | 42.2 | 53.81 | +| countertop | 52.66 | 69.36 | +| stove | 69.9 | 78.93 | +| palm | 48.33 | 68.16 | +| kitchen island | 37.8 | 56.5 | +| computer | 59.48 | 70.05 | +| swivel chair | 42.2 | 53.33 | +| boat | 69.33 | 83.18 | +| bar | 23.26 | 31.37 | +| arcade machine | 69.92 | 72.92 | +| hovel | 33.1 | 38.2 | +| bus | 77.59 | 90.45 | +| towel | 61.19 | 70.63 | +| light | 52.47 | 58.49 | +| truck | 17.43 | 23.09 | +| tower | 7.16 | 11.52 | +| chandelier | 62.98 | 77.83 | +| awning | 23.37 | 27.18 | +| streetlight | 25.69 | 34.48 | +| booth | 43.43 | 45.59 | +| television receiver | 63.88 | 75.98 | +| airplane | 58.54 | 65.03 | +| dirt track | 17.94 | 55.13 | +| apparel | 34.79 | 49.83 | +| pole | 16.04 | 21.43 | +| land | 4.52 | 6.43 | +| bannister | 10.81 | 14.47 | +| escalator | 23.56 | 24.75 | +| ottoman | 41.7 | 57.26 | +| bottle | 35.6 | 58.85 | +| buffet | 37.94 | 44.04 | +| poster | 22.42 | 32.91 | +| stage | 13.76 | 17.48 | +| van | 38.03 | 53.85 | +| ship | 73.13 | 89.55 | +| fountain | 19.07 | 19.39 | +| conveyer belt | 84.66 | 89.42 | +| canopy | 25.2 | 27.99 | +| washer | 79.17 | 81.11 | +| plaything | 19.96 | 28.87 | +| swimming pool | 72.64 | 81.36 | +| stool | 42.81 | 55.69 | +| barrel | 49.59 | 53.91 | +| basket | 25.05 | 37.56 | +| waterfall | 48.51 | 66.46 | +| tent | 94.02 | 97.69 | +| bag | 16.25 | 22.76 | +| minibike | 62.33 | 75.16 | +| cradle | 84.39 | 96.26 | +| oven | 47.61 | 67.03 | +| ball | 43.66 | 52.77 | +| food | 52.83 | 63.61 | +| step | 3.65 | 3.86 | +| tank | 49.43 | 55.45 | +| trade name | 27.83 | 32.78 | +| microwave | 71.11 | 78.11 | +| pot | 30.43 | 34.33 | +| animal | 52.19 | 59.9 | +| bicycle | 52.76 | 74.3 | +| lake | 57.46 | 62.97 | +| dishwasher | 62.55 | 76.63 | +| screen | 70.41 | 83.62 | +| blanket | 16.67 | 18.75 | +| sculpture | 56.64 | 78.14 | +| hood | 55.75 | 65.05 | +| sconce | 41.3 | 49.84 | +| vase | 36.34 | 51.09 | +| traffic light | 32.17 | 47.6 | +| tray | 5.72 | 8.76 | +| ashcan | 41.17 | 55.51 | +| fan | 56.75 | 68.94 | +| pier | 47.78 | 61.22 | +| crt screen | 9.07 | 23.02 | +| plate | 49.92 | 65.31 | +| monitor | 19.5 | 23.03 | +| bulletin board | 42.46 | 58.85 | +| shower | 1.71 | 6.84 | +| radiator | 60.28 | 69.71 | +| glass | 12.76 | 14.6 | +| clock | 31.99 | 34.53 | +| flag | 33.89 | 37.17 | ++---------------------+-------+-------+ +2023-03-04 13:44:21,134 - mmseg - INFO - Summary: +2023-03-04 13:44:21,134 - mmseg - INFO - ++-------+-------+-------+ +| aAcc | mIoU | mAcc | ++-------+-------+-------+ +| 82.45 | 47.84 | 59.01 | ++-------+-------+-------+ +2023-03-04 13:44:21,158 - mmseg - INFO - The previous best checkpoint /mnt/petrelfs/laizeqiang/mmseg-baseline/work_dirs2/ablation_segformer_mit_b2_segformer_head_unet_fc_single_step_ade_pretrained_freeze_embed_80k_ade20k151_mask/best_mIoU_iter_24000.pth was removed +2023-03-04 13:44:21,766 - mmseg - INFO - Now best checkpoint is saved as best_mIoU_iter_32000.pth. +2023-03-04 13:44:21,766 - mmseg - INFO - Best mIoU is 0.4784 at 32000 iter. +2023-03-04 13:44:21,766 - mmseg - INFO - Exp name: ablation_segformer_mit_b2_segformer_head_unet_fc_single_step_ade_pretrained_freeze_embed_80k_ade20k151_mask.py +2023-03-04 13:44:21,767 - mmseg - INFO - Iter(val) [250] aAcc: 0.8245, mIoU: 0.4784, mAcc: 0.5901, IoU.background: nan, IoU.wall: 0.7699, IoU.building: 0.8146, IoU.sky: 0.9437, IoU.floor: 0.8123, IoU.tree: 0.7402, IoU.ceiling: 0.8476, IoU.road: 0.8169, IoU.bed : 0.8673, IoU.windowpane: 0.6012, IoU.grass: 0.6663, IoU.cabinet: 0.5973, IoU.sidewalk: 0.6378, IoU.person: 0.7926, IoU.earth: 0.3492, IoU.door: 0.4477, IoU.table: 0.5925, IoU.mountain: 0.5720, IoU.plant: 0.5038, IoU.curtain: 0.7327, IoU.chair: 0.5579, IoU.car: 0.8079, IoU.water: 0.5759, IoU.painting: 0.7053, IoU.sofa: 0.6312, IoU.shelf: 0.4294, IoU.house: 0.4371, IoU.sea: 0.6058, IoU.mirror: 0.6427, IoU.rug: 0.6403, IoU.field: 0.3078, IoU.armchair: 0.3699, IoU.seat: 0.6621, IoU.fence: 0.4117, IoU.desk: 0.4590, IoU.rock: 0.3638, IoU.wardrobe: 0.5665, IoU.lamp: 0.5987, IoU.bathtub: 0.7493, IoU.railing: 0.3377, IoU.cushion: 0.5450, IoU.base: 0.1810, IoU.box: 0.2330, IoU.column: 0.4418, IoU.signboard: 0.3751, IoU.chest of drawers: 0.3554, IoU.counter: 0.3079, IoU.sand: 0.4240, IoU.sink: 0.6670, IoU.skyscraper: 0.5120, IoU.fireplace: 0.7281, IoU.refrigerator: 0.6968, IoU.grandstand: 0.5358, IoU.path: 0.2095, IoU.stairs: 0.3269, IoU.runway: 0.6650, IoU.case: 0.4654, IoU.pool table: 0.9142, IoU.pillow: 0.5930, IoU.screen door: 0.6797, IoU.stairway: 0.2255, IoU.river: 0.1231, IoU.bridge: 0.3291, IoU.bookcase: 0.4421, IoU.blind: 0.4224, IoU.coffee table: 0.5270, IoU.toilet: 0.8270, IoU.flower: 0.3806, IoU.book: 0.4316, IoU.hill: 0.1310, IoU.bench: 0.4220, IoU.countertop: 0.5266, IoU.stove: 0.6990, IoU.palm: 0.4833, IoU.kitchen island: 0.3780, IoU.computer: 0.5948, IoU.swivel chair: 0.4220, IoU.boat: 0.6933, IoU.bar: 0.2326, IoU.arcade machine: 0.6992, IoU.hovel: 0.3310, IoU.bus: 0.7759, IoU.towel: 0.6119, IoU.light: 0.5247, IoU.truck: 0.1743, IoU.tower: 0.0716, IoU.chandelier: 0.6298, IoU.awning: 0.2337, IoU.streetlight: 0.2569, IoU.booth: 0.4343, IoU.television receiver: 0.6388, IoU.airplane: 0.5854, IoU.dirt track: 0.1794, IoU.apparel: 0.3479, IoU.pole: 0.1604, IoU.land: 0.0452, IoU.bannister: 0.1081, IoU.escalator: 0.2356, IoU.ottoman: 0.4170, IoU.bottle: 0.3560, IoU.buffet: 0.3794, IoU.poster: 0.2242, IoU.stage: 0.1376, IoU.van: 0.3803, IoU.ship: 0.7313, IoU.fountain: 0.1907, IoU.conveyer belt: 0.8466, IoU.canopy: 0.2520, IoU.washer: 0.7917, IoU.plaything: 0.1996, IoU.swimming pool: 0.7264, IoU.stool: 0.4281, IoU.barrel: 0.4959, IoU.basket: 0.2505, IoU.waterfall: 0.4851, IoU.tent: 0.9402, IoU.bag: 0.1625, IoU.minibike: 0.6233, IoU.cradle: 0.8439, IoU.oven: 0.4761, IoU.ball: 0.4366, IoU.food: 0.5283, IoU.step: 0.0365, IoU.tank: 0.4943, IoU.trade name: 0.2783, IoU.microwave: 0.7111, IoU.pot: 0.3043, IoU.animal: 0.5219, IoU.bicycle: 0.5276, IoU.lake: 0.5746, IoU.dishwasher: 0.6255, IoU.screen: 0.7041, IoU.blanket: 0.1667, IoU.sculpture: 0.5664, IoU.hood: 0.5575, IoU.sconce: 0.4130, IoU.vase: 0.3634, IoU.traffic light: 0.3217, IoU.tray: 0.0572, IoU.ashcan: 0.4117, IoU.fan: 0.5675, IoU.pier: 0.4778, IoU.crt screen: 0.0907, IoU.plate: 0.4992, IoU.monitor: 0.1950, IoU.bulletin board: 0.4246, IoU.shower: 0.0171, IoU.radiator: 0.6028, IoU.glass: 0.1276, IoU.clock: 0.3199, IoU.flag: 0.3389, Acc.background: nan, Acc.wall: 0.8855, Acc.building: 0.9138, Acc.sky: 0.9736, Acc.floor: 0.9096, Acc.tree: 0.8740, Acc.ceiling: 0.9304, Acc.road: 0.9029, Acc.bed : 0.9584, Acc.windowpane: 0.7734, Acc.grass: 0.8361, Acc.cabinet: 0.7335, Acc.sidewalk: 0.7764, Acc.person: 0.9137, Acc.earth: 0.4776, Acc.door: 0.5946, Acc.table: 0.7614, Acc.mountain: 0.7262, Acc.plant: 0.6339, Acc.curtain: 0.8258, Acc.chair: 0.6988, Acc.car: 0.9220, Acc.water: 0.7556, Acc.painting: 0.8643, Acc.sofa: 0.8194, Acc.shelf: 0.6076, Acc.house: 0.6199, Acc.sea: 0.7695, Acc.mirror: 0.7260, Acc.rug: 0.7187, Acc.field: 0.4568, Acc.armchair: 0.5333, Acc.seat: 0.8267, Acc.fence: 0.5485, Acc.desk: 0.6609, Acc.rock: 0.5828, Acc.wardrobe: 0.6994, Acc.lamp: 0.7461, Acc.bathtub: 0.8320, Acc.railing: 0.4825, Acc.cushion: 0.6486, Acc.base: 0.2197, Acc.box: 0.3227, Acc.column: 0.5387, Acc.signboard: 0.5253, Acc.chest of drawers: 0.5545, Acc.counter: 0.3978, Acc.sand: 0.5783, Acc.sink: 0.7746, Acc.skyscraper: 0.6470, Acc.fireplace: 0.8592, Acc.refrigerator: 0.8765, Acc.grandstand: 0.6262, Acc.path: 0.2965, Acc.stairs: 0.4100, Acc.runway: 0.8540, Acc.case: 0.5561, Acc.pool table: 0.9441, Acc.pillow: 0.7018, Acc.screen door: 0.7595, Acc.stairway: 0.3565, Acc.river: 0.2350, Acc.bridge: 0.3921, Acc.bookcase: 0.6529, Acc.blind: 0.4987, Acc.coffee table: 0.7683, Acc.toilet: 0.8962, Acc.flower: 0.5328, Acc.book: 0.6320, Acc.hill: 0.2013, Acc.bench: 0.5381, Acc.countertop: 0.6936, Acc.stove: 0.7893, Acc.palm: 0.6816, Acc.kitchen island: 0.5650, Acc.computer: 0.7005, Acc.swivel chair: 0.5333, Acc.boat: 0.8318, Acc.bar: 0.3137, Acc.arcade machine: 0.7292, Acc.hovel: 0.3820, Acc.bus: 0.9045, Acc.towel: 0.7063, Acc.light: 0.5849, Acc.truck: 0.2309, Acc.tower: 0.1152, Acc.chandelier: 0.7783, Acc.awning: 0.2718, Acc.streetlight: 0.3448, Acc.booth: 0.4559, Acc.television receiver: 0.7598, Acc.airplane: 0.6503, Acc.dirt track: 0.5513, Acc.apparel: 0.4983, Acc.pole: 0.2143, Acc.land: 0.0643, Acc.bannister: 0.1447, Acc.escalator: 0.2475, Acc.ottoman: 0.5726, Acc.bottle: 0.5885, Acc.buffet: 0.4404, Acc.poster: 0.3291, Acc.stage: 0.1748, Acc.van: 0.5385, Acc.ship: 0.8955, Acc.fountain: 0.1939, Acc.conveyer belt: 0.8942, Acc.canopy: 0.2799, Acc.washer: 0.8111, Acc.plaything: 0.2887, Acc.swimming pool: 0.8136, Acc.stool: 0.5569, Acc.barrel: 0.5391, Acc.basket: 0.3756, Acc.waterfall: 0.6646, Acc.tent: 0.9769, Acc.bag: 0.2276, Acc.minibike: 0.7516, Acc.cradle: 0.9626, Acc.oven: 0.6703, Acc.ball: 0.5277, Acc.food: 0.6361, Acc.step: 0.0386, Acc.tank: 0.5545, Acc.trade name: 0.3278, Acc.microwave: 0.7811, Acc.pot: 0.3433, Acc.animal: 0.5990, Acc.bicycle: 0.7430, Acc.lake: 0.6297, Acc.dishwasher: 0.7663, Acc.screen: 0.8362, Acc.blanket: 0.1875, Acc.sculpture: 0.7814, Acc.hood: 0.6505, Acc.sconce: 0.4984, Acc.vase: 0.5109, Acc.traffic light: 0.4760, Acc.tray: 0.0876, Acc.ashcan: 0.5551, Acc.fan: 0.6894, Acc.pier: 0.6122, Acc.crt screen: 0.2302, Acc.plate: 0.6531, Acc.monitor: 0.2303, Acc.bulletin board: 0.5885, Acc.shower: 0.0684, Acc.radiator: 0.6971, Acc.glass: 0.1460, Acc.clock: 0.3453, Acc.flag: 0.3717 +2023-03-04 13:44:31,132 - mmseg - INFO - Iter [32050/80000] lr: 1.875e-05, eta: 2:46:28, time: 0.514, data_time: 0.334, memory: 52403, decode.loss_ce: 0.2022, decode.acc_seg: 91.8440, loss: 0.2022 +2023-03-04 13:44:40,037 - mmseg - INFO - Iter [32100/80000] lr: 1.875e-05, eta: 2:46:15, time: 0.178, data_time: 0.007, memory: 52403, decode.loss_ce: 0.2035, decode.acc_seg: 91.8184, loss: 0.2035 +2023-03-04 13:44:49,184 - mmseg - INFO - Iter [32150/80000] lr: 1.875e-05, eta: 2:46:02, time: 0.183, data_time: 0.007, memory: 52403, decode.loss_ce: 0.2016, decode.acc_seg: 91.6114, loss: 0.2016 +2023-03-04 13:44:58,045 - mmseg - INFO - Iter [32200/80000] lr: 1.875e-05, eta: 2:45:49, time: 0.177, data_time: 0.007, memory: 52403, decode.loss_ce: 0.1902, decode.acc_seg: 92.1350, loss: 0.1902 +2023-03-04 13:45:07,075 - mmseg - INFO - Iter [32250/80000] lr: 1.875e-05, eta: 2:45:35, time: 0.181, data_time: 0.007, memory: 52403, decode.loss_ce: 0.2003, decode.acc_seg: 91.6938, loss: 0.2003 +2023-03-04 13:45:15,939 - mmseg - INFO - Iter [32300/80000] lr: 1.875e-05, eta: 2:45:22, time: 0.177, data_time: 0.007, memory: 52403, decode.loss_ce: 0.2078, decode.acc_seg: 91.5683, loss: 0.2078 +2023-03-04 13:45:24,795 - mmseg - INFO - Iter [32350/80000] lr: 1.875e-05, eta: 2:45:09, time: 0.177, data_time: 0.007, memory: 52403, decode.loss_ce: 0.2104, decode.acc_seg: 91.1707, loss: 0.2104 +2023-03-04 13:45:33,986 - mmseg - INFO - Iter [32400/80000] lr: 1.875e-05, eta: 2:44:56, time: 0.184, data_time: 0.007, memory: 52403, decode.loss_ce: 0.2118, decode.acc_seg: 91.3704, loss: 0.2118 +2023-03-04 13:45:42,771 - mmseg - INFO - Iter [32450/80000] lr: 1.875e-05, eta: 2:44:42, time: 0.176, data_time: 0.007, memory: 52403, decode.loss_ce: 0.1962, decode.acc_seg: 91.9609, loss: 0.1962 +2023-03-04 13:45:51,637 - mmseg - INFO - Iter [32500/80000] lr: 1.875e-05, eta: 2:44:29, time: 0.177, data_time: 0.007, memory: 52403, decode.loss_ce: 0.2003, decode.acc_seg: 91.6882, loss: 0.2003 +2023-03-04 13:46:00,250 - mmseg - INFO - Iter [32550/80000] lr: 1.875e-05, eta: 2:44:15, time: 0.172, data_time: 0.007, memory: 52403, decode.loss_ce: 0.1928, decode.acc_seg: 92.0664, loss: 0.1928 +2023-03-04 13:46:09,125 - mmseg - INFO - Iter [32600/80000] lr: 1.875e-05, eta: 2:44:02, time: 0.177, data_time: 0.007, memory: 52403, decode.loss_ce: 0.1944, decode.acc_seg: 91.9838, loss: 0.1944 +2023-03-04 13:46:20,902 - mmseg - INFO - Iter [32650/80000] lr: 1.875e-05, eta: 2:43:54, time: 0.236, data_time: 0.053, memory: 52403, decode.loss_ce: 0.2068, decode.acc_seg: 91.5080, loss: 0.2068 +2023-03-04 13:46:29,718 - mmseg - INFO - Iter [32700/80000] lr: 1.875e-05, eta: 2:43:41, time: 0.176, data_time: 0.007, memory: 52403, decode.loss_ce: 0.1995, decode.acc_seg: 91.9362, loss: 0.1995 +2023-03-04 13:46:38,882 - mmseg - INFO - Iter [32750/80000] lr: 1.875e-05, eta: 2:43:28, time: 0.183, data_time: 0.007, memory: 52403, decode.loss_ce: 0.1921, decode.acc_seg: 92.0259, loss: 0.1921 +2023-03-04 13:46:47,972 - mmseg - INFO - Iter [32800/80000] lr: 1.875e-05, eta: 2:43:15, time: 0.182, data_time: 0.007, memory: 52403, decode.loss_ce: 0.2058, decode.acc_seg: 91.6135, loss: 0.2058 +2023-03-04 13:46:56,804 - mmseg - INFO - Iter [32850/80000] lr: 1.875e-05, eta: 2:43:02, time: 0.176, data_time: 0.007, memory: 52403, decode.loss_ce: 0.2022, decode.acc_seg: 91.7817, loss: 0.2022 +2023-03-04 13:47:06,047 - mmseg - INFO - Iter [32900/80000] lr: 1.875e-05, eta: 2:42:49, time: 0.185, data_time: 0.007, memory: 52403, decode.loss_ce: 0.1958, decode.acc_seg: 91.9267, loss: 0.1958 +2023-03-04 13:47:14,729 - mmseg - INFO - Iter [32950/80000] lr: 1.875e-05, eta: 2:42:36, time: 0.174, data_time: 0.007, memory: 52403, decode.loss_ce: 0.1968, decode.acc_seg: 91.9727, loss: 0.1968 +2023-03-04 13:47:23,630 - mmseg - INFO - Exp name: ablation_segformer_mit_b2_segformer_head_unet_fc_single_step_ade_pretrained_freeze_embed_80k_ade20k151_mask.py +2023-03-04 13:47:23,630 - mmseg - INFO - Iter [33000/80000] lr: 1.875e-05, eta: 2:42:23, time: 0.178, data_time: 0.007, memory: 52403, decode.loss_ce: 0.2001, decode.acc_seg: 91.7699, loss: 0.2001 +2023-03-04 13:47:32,740 - mmseg - INFO - Iter [33050/80000] lr: 1.875e-05, eta: 2:42:10, time: 0.182, data_time: 0.007, memory: 52403, decode.loss_ce: 0.2031, decode.acc_seg: 91.5481, loss: 0.2031 +2023-03-04 13:47:41,452 - mmseg - INFO - Iter [33100/80000] lr: 1.875e-05, eta: 2:41:57, time: 0.174, data_time: 0.007, memory: 52403, decode.loss_ce: 0.2076, decode.acc_seg: 91.3797, loss: 0.2076 +2023-03-04 13:47:50,608 - mmseg - INFO - Iter [33150/80000] lr: 1.875e-05, eta: 2:41:44, time: 0.183, data_time: 0.007, memory: 52403, decode.loss_ce: 0.2049, decode.acc_seg: 91.7370, loss: 0.2049 +2023-03-04 13:47:59,191 - mmseg - INFO - Iter [33200/80000] lr: 1.875e-05, eta: 2:41:30, time: 0.172, data_time: 0.007, memory: 52403, decode.loss_ce: 0.2030, decode.acc_seg: 91.6533, loss: 0.2030 +2023-03-04 13:48:10,508 - mmseg - INFO - Iter [33250/80000] lr: 1.875e-05, eta: 2:41:22, time: 0.226, data_time: 0.055, memory: 52403, decode.loss_ce: 0.2049, decode.acc_seg: 91.6766, loss: 0.2049 +2023-03-04 13:48:19,295 - mmseg - INFO - Iter [33300/80000] lr: 1.875e-05, eta: 2:41:08, time: 0.176, data_time: 0.007, memory: 52403, decode.loss_ce: 0.2064, decode.acc_seg: 91.6323, loss: 0.2064 +2023-03-04 13:48:28,123 - mmseg - INFO - Iter [33350/80000] lr: 1.875e-05, eta: 2:40:55, time: 0.177, data_time: 0.007, memory: 52403, decode.loss_ce: 0.2025, decode.acc_seg: 91.7108, loss: 0.2025 +2023-03-04 13:48:37,158 - mmseg - INFO - Iter [33400/80000] lr: 1.875e-05, eta: 2:40:43, time: 0.181, data_time: 0.007, memory: 52403, decode.loss_ce: 0.2022, decode.acc_seg: 91.7013, loss: 0.2022 +2023-03-04 13:48:45,987 - mmseg - INFO - Iter [33450/80000] lr: 1.875e-05, eta: 2:40:29, time: 0.177, data_time: 0.007, memory: 52403, decode.loss_ce: 0.1953, decode.acc_seg: 92.0064, loss: 0.1953 +2023-03-04 13:48:54,803 - mmseg - INFO - Iter [33500/80000] lr: 1.875e-05, eta: 2:40:16, time: 0.176, data_time: 0.007, memory: 52403, decode.loss_ce: 0.2039, decode.acc_seg: 91.5758, loss: 0.2039 +2023-03-04 13:49:04,061 - mmseg - INFO - Iter [33550/80000] lr: 1.875e-05, eta: 2:40:04, time: 0.185, data_time: 0.007, memory: 52403, decode.loss_ce: 0.1959, decode.acc_seg: 91.8875, loss: 0.1959 +2023-03-04 13:49:12,769 - mmseg - INFO - Iter [33600/80000] lr: 1.875e-05, eta: 2:39:51, time: 0.174, data_time: 0.007, memory: 52403, decode.loss_ce: 0.1995, decode.acc_seg: 91.7392, loss: 0.1995 +2023-03-04 13:49:21,618 - mmseg - INFO - Iter [33650/80000] lr: 1.875e-05, eta: 2:39:38, time: 0.177, data_time: 0.007, memory: 52403, decode.loss_ce: 0.2077, decode.acc_seg: 91.5780, loss: 0.2077 +2023-03-04 13:49:30,166 - mmseg - INFO - Iter [33700/80000] lr: 1.875e-05, eta: 2:39:24, time: 0.171, data_time: 0.007, memory: 52403, decode.loss_ce: 0.1919, decode.acc_seg: 91.9508, loss: 0.1919 +2023-03-04 13:49:39,204 - mmseg - INFO - Iter [33750/80000] lr: 1.875e-05, eta: 2:39:11, time: 0.180, data_time: 0.007, memory: 52403, decode.loss_ce: 0.1902, decode.acc_seg: 92.0704, loss: 0.1902 +2023-03-04 13:49:48,200 - mmseg - INFO - Iter [33800/80000] lr: 1.875e-05, eta: 2:38:59, time: 0.180, data_time: 0.007, memory: 52403, decode.loss_ce: 0.2008, decode.acc_seg: 91.8016, loss: 0.2008 +2023-03-04 13:49:57,226 - mmseg - INFO - Iter [33850/80000] lr: 1.875e-05, eta: 2:38:46, time: 0.181, data_time: 0.007, memory: 52403, decode.loss_ce: 0.2078, decode.acc_seg: 91.4005, loss: 0.2078 +2023-03-04 13:50:08,476 - mmseg - INFO - Iter [33900/80000] lr: 1.875e-05, eta: 2:38:37, time: 0.225, data_time: 0.058, memory: 52403, decode.loss_ce: 0.1959, decode.acc_seg: 91.8629, loss: 0.1959 +2023-03-04 13:50:17,161 - mmseg - INFO - Iter [33950/80000] lr: 1.875e-05, eta: 2:38:24, time: 0.174, data_time: 0.007, memory: 52403, decode.loss_ce: 0.2124, decode.acc_seg: 91.3857, loss: 0.2124 +2023-03-04 13:50:26,700 - mmseg - INFO - Exp name: ablation_segformer_mit_b2_segformer_head_unet_fc_single_step_ade_pretrained_freeze_embed_80k_ade20k151_mask.py +2023-03-04 13:50:26,700 - mmseg - INFO - Iter [34000/80000] lr: 1.875e-05, eta: 2:38:13, time: 0.191, data_time: 0.008, memory: 52403, decode.loss_ce: 0.2022, decode.acc_seg: 91.8351, loss: 0.2022 +2023-03-04 13:50:35,785 - mmseg - INFO - Iter [34050/80000] lr: 1.875e-05, eta: 2:38:00, time: 0.182, data_time: 0.007, memory: 52403, decode.loss_ce: 0.2000, decode.acc_seg: 91.8571, loss: 0.2000 +2023-03-04 13:50:45,043 - mmseg - INFO - Iter [34100/80000] lr: 1.875e-05, eta: 2:37:48, time: 0.185, data_time: 0.007, memory: 52403, decode.loss_ce: 0.2014, decode.acc_seg: 91.7112, loss: 0.2014 +2023-03-04 13:50:53,799 - mmseg - INFO - Iter [34150/80000] lr: 1.875e-05, eta: 2:37:35, time: 0.175, data_time: 0.007, memory: 52403, decode.loss_ce: 0.1956, decode.acc_seg: 91.9176, loss: 0.1956 +2023-03-04 13:51:03,239 - mmseg - INFO - Iter [34200/80000] lr: 1.875e-05, eta: 2:37:23, time: 0.189, data_time: 0.007, memory: 52403, decode.loss_ce: 0.2097, decode.acc_seg: 91.4860, loss: 0.2097 +2023-03-04 13:51:12,290 - mmseg - INFO - Iter [34250/80000] lr: 1.875e-05, eta: 2:37:10, time: 0.181, data_time: 0.007, memory: 52403, decode.loss_ce: 0.2050, decode.acc_seg: 91.4870, loss: 0.2050 +2023-03-04 13:51:21,368 - mmseg - INFO - Iter [34300/80000] lr: 1.875e-05, eta: 2:36:58, time: 0.181, data_time: 0.007, memory: 52403, decode.loss_ce: 0.2096, decode.acc_seg: 91.4533, loss: 0.2096 +2023-03-04 13:51:30,395 - mmseg - INFO - Iter [34350/80000] lr: 1.875e-05, eta: 2:36:46, time: 0.181, data_time: 0.007, memory: 52403, decode.loss_ce: 0.1926, decode.acc_seg: 91.8997, loss: 0.1926 +2023-03-04 13:51:39,158 - mmseg - INFO - Iter [34400/80000] lr: 1.875e-05, eta: 2:36:33, time: 0.175, data_time: 0.007, memory: 52403, decode.loss_ce: 0.1948, decode.acc_seg: 91.9831, loss: 0.1948 +2023-03-04 13:51:48,651 - mmseg - INFO - Iter [34450/80000] lr: 1.875e-05, eta: 2:36:21, time: 0.190, data_time: 0.007, memory: 52403, decode.loss_ce: 0.2032, decode.acc_seg: 91.5856, loss: 0.2032 +2023-03-04 13:51:57,475 - mmseg - INFO - Iter [34500/80000] lr: 1.875e-05, eta: 2:36:08, time: 0.176, data_time: 0.007, memory: 52403, decode.loss_ce: 0.2059, decode.acc_seg: 91.5321, loss: 0.2059 +2023-03-04 13:52:09,462 - mmseg - INFO - Iter [34550/80000] lr: 1.875e-05, eta: 2:36:01, time: 0.240, data_time: 0.055, memory: 52403, decode.loss_ce: 0.1996, decode.acc_seg: 91.7233, loss: 0.1996 +2023-03-04 13:52:18,528 - mmseg - INFO - Iter [34600/80000] lr: 1.875e-05, eta: 2:35:48, time: 0.181, data_time: 0.007, memory: 52403, decode.loss_ce: 0.2060, decode.acc_seg: 91.6167, loss: 0.2060 +2023-03-04 13:52:27,644 - mmseg - INFO - Iter [34650/80000] lr: 1.875e-05, eta: 2:35:36, time: 0.182, data_time: 0.007, memory: 52403, decode.loss_ce: 0.1970, decode.acc_seg: 91.8299, loss: 0.1970 +2023-03-04 13:52:36,237 - mmseg - INFO - Iter [34700/80000] lr: 1.875e-05, eta: 2:35:23, time: 0.172, data_time: 0.007, memory: 52403, decode.loss_ce: 0.1948, decode.acc_seg: 91.9177, loss: 0.1948 +2023-03-04 13:52:45,155 - mmseg - INFO - Iter [34750/80000] lr: 1.875e-05, eta: 2:35:10, time: 0.178, data_time: 0.007, memory: 52403, decode.loss_ce: 0.2005, decode.acc_seg: 91.9373, loss: 0.2005 +2023-03-04 13:52:54,036 - mmseg - INFO - Iter [34800/80000] lr: 1.875e-05, eta: 2:34:57, time: 0.178, data_time: 0.007, memory: 52403, decode.loss_ce: 0.2040, decode.acc_seg: 91.5375, loss: 0.2040 +2023-03-04 13:53:03,182 - mmseg - INFO - Iter [34850/80000] lr: 1.875e-05, eta: 2:34:45, time: 0.183, data_time: 0.007, memory: 52403, decode.loss_ce: 0.2032, decode.acc_seg: 91.5594, loss: 0.2032 +2023-03-04 13:53:12,142 - mmseg - INFO - Iter [34900/80000] lr: 1.875e-05, eta: 2:34:33, time: 0.179, data_time: 0.007, memory: 52403, decode.loss_ce: 0.2000, decode.acc_seg: 91.7768, loss: 0.2000 +2023-03-04 13:53:21,720 - mmseg - INFO - Iter [34950/80000] lr: 1.875e-05, eta: 2:34:21, time: 0.191, data_time: 0.007, memory: 52403, decode.loss_ce: 0.2053, decode.acc_seg: 91.6458, loss: 0.2053 +2023-03-04 13:53:30,506 - mmseg - INFO - Exp name: ablation_segformer_mit_b2_segformer_head_unet_fc_single_step_ade_pretrained_freeze_embed_80k_ade20k151_mask.py +2023-03-04 13:53:30,506 - mmseg - INFO - Iter [35000/80000] lr: 1.875e-05, eta: 2:34:09, time: 0.176, data_time: 0.007, memory: 52403, decode.loss_ce: 0.2042, decode.acc_seg: 91.6903, loss: 0.2042 +2023-03-04 13:53:39,558 - mmseg - INFO - Iter [35050/80000] lr: 1.875e-05, eta: 2:33:56, time: 0.181, data_time: 0.007, memory: 52403, decode.loss_ce: 0.1978, decode.acc_seg: 91.8400, loss: 0.1978 +2023-03-04 13:53:48,258 - mmseg - INFO - Iter [35100/80000] lr: 1.875e-05, eta: 2:33:43, time: 0.174, data_time: 0.007, memory: 52403, decode.loss_ce: 0.2040, decode.acc_seg: 91.7010, loss: 0.2040 +2023-03-04 13:53:59,850 - mmseg - INFO - Iter [35150/80000] lr: 1.875e-05, eta: 2:33:35, time: 0.232, data_time: 0.054, memory: 52403, decode.loss_ce: 0.2012, decode.acc_seg: 91.6388, loss: 0.2012 +2023-03-04 13:54:08,606 - mmseg - INFO - Iter [35200/80000] lr: 1.875e-05, eta: 2:33:22, time: 0.175, data_time: 0.007, memory: 52403, decode.loss_ce: 0.2084, decode.acc_seg: 91.2407, loss: 0.2084 +2023-03-04 13:54:17,735 - mmseg - INFO - Iter [35250/80000] lr: 1.875e-05, eta: 2:33:10, time: 0.182, data_time: 0.007, memory: 52403, decode.loss_ce: 0.2063, decode.acc_seg: 91.6085, loss: 0.2063 +2023-03-04 13:54:26,687 - mmseg - INFO - Iter [35300/80000] lr: 1.875e-05, eta: 2:32:58, time: 0.179, data_time: 0.007, memory: 52403, decode.loss_ce: 0.1997, decode.acc_seg: 91.9047, loss: 0.1997 +2023-03-04 13:54:35,357 - mmseg - INFO - Iter [35350/80000] lr: 1.875e-05, eta: 2:32:45, time: 0.173, data_time: 0.007, memory: 52403, decode.loss_ce: 0.2154, decode.acc_seg: 91.0868, loss: 0.2154 +2023-03-04 13:54:44,386 - mmseg - INFO - Iter [35400/80000] lr: 1.875e-05, eta: 2:32:33, time: 0.180, data_time: 0.007, memory: 52403, decode.loss_ce: 0.2152, decode.acc_seg: 91.1063, loss: 0.2152 +2023-03-04 13:54:53,333 - mmseg - INFO - Iter [35450/80000] lr: 1.875e-05, eta: 2:32:20, time: 0.179, data_time: 0.007, memory: 52403, decode.loss_ce: 0.1983, decode.acc_seg: 91.8017, loss: 0.1983 +2023-03-04 13:55:02,251 - mmseg - INFO - Iter [35500/80000] lr: 1.875e-05, eta: 2:32:08, time: 0.178, data_time: 0.007, memory: 52403, decode.loss_ce: 0.1956, decode.acc_seg: 91.8409, loss: 0.1956 +2023-03-04 13:55:11,107 - mmseg - INFO - Iter [35550/80000] lr: 1.875e-05, eta: 2:31:55, time: 0.177, data_time: 0.007, memory: 52403, decode.loss_ce: 0.2007, decode.acc_seg: 91.6396, loss: 0.2007 +2023-03-04 13:55:20,006 - mmseg - INFO - Iter [35600/80000] lr: 1.875e-05, eta: 2:31:43, time: 0.178, data_time: 0.007, memory: 52403, decode.loss_ce: 0.2021, decode.acc_seg: 91.8177, loss: 0.2021 +2023-03-04 13:55:28,860 - mmseg - INFO - Iter [35650/80000] lr: 1.875e-05, eta: 2:31:30, time: 0.177, data_time: 0.007, memory: 52403, decode.loss_ce: 0.2011, decode.acc_seg: 91.7914, loss: 0.2011 +2023-03-04 13:55:37,632 - mmseg - INFO - Iter [35700/80000] lr: 1.875e-05, eta: 2:31:18, time: 0.176, data_time: 0.007, memory: 52403, decode.loss_ce: 0.1950, decode.acc_seg: 92.0995, loss: 0.1950 +2023-03-04 13:55:46,375 - mmseg - INFO - Iter [35750/80000] lr: 1.875e-05, eta: 2:31:05, time: 0.175, data_time: 0.007, memory: 52403, decode.loss_ce: 0.2069, decode.acc_seg: 91.4757, loss: 0.2069 +2023-03-04 13:55:57,770 - mmseg - INFO - Iter [35800/80000] lr: 1.875e-05, eta: 2:30:57, time: 0.228, data_time: 0.055, memory: 52403, decode.loss_ce: 0.1981, decode.acc_seg: 91.8512, loss: 0.1981 +2023-03-04 13:56:06,597 - mmseg - INFO - Iter [35850/80000] lr: 1.875e-05, eta: 2:30:44, time: 0.177, data_time: 0.007, memory: 52403, decode.loss_ce: 0.1993, decode.acc_seg: 91.8531, loss: 0.1993 +2023-03-04 13:56:15,526 - mmseg - INFO - Iter [35900/80000] lr: 1.875e-05, eta: 2:30:32, time: 0.179, data_time: 0.007, memory: 52403, decode.loss_ce: 0.2003, decode.acc_seg: 91.8245, loss: 0.2003 +2023-03-04 13:56:25,093 - mmseg - INFO - Iter [35950/80000] lr: 1.875e-05, eta: 2:30:21, time: 0.191, data_time: 0.007, memory: 52403, decode.loss_ce: 0.2026, decode.acc_seg: 91.7601, loss: 0.2026 +2023-03-04 13:56:34,137 - mmseg - INFO - Exp name: ablation_segformer_mit_b2_segformer_head_unet_fc_single_step_ade_pretrained_freeze_embed_80k_ade20k151_mask.py +2023-03-04 13:56:34,137 - mmseg - INFO - Iter [36000/80000] lr: 1.875e-05, eta: 2:30:09, time: 0.181, data_time: 0.007, memory: 52403, decode.loss_ce: 0.1957, decode.acc_seg: 91.7756, loss: 0.1957 +2023-03-04 13:56:42,921 - mmseg - INFO - Iter [36050/80000] lr: 1.875e-05, eta: 2:29:56, time: 0.176, data_time: 0.007, memory: 52403, decode.loss_ce: 0.1983, decode.acc_seg: 91.8710, loss: 0.1983 +2023-03-04 13:56:51,979 - mmseg - INFO - Iter [36100/80000] lr: 1.875e-05, eta: 2:29:44, time: 0.181, data_time: 0.007, memory: 52403, decode.loss_ce: 0.1991, decode.acc_seg: 91.8595, loss: 0.1991 +2023-03-04 13:57:00,842 - mmseg - INFO - Iter [36150/80000] lr: 1.875e-05, eta: 2:29:32, time: 0.177, data_time: 0.007, memory: 52403, decode.loss_ce: 0.1987, decode.acc_seg: 91.6453, loss: 0.1987 +2023-03-04 13:57:09,848 - mmseg - INFO - Iter [36200/80000] lr: 1.875e-05, eta: 2:29:19, time: 0.180, data_time: 0.007, memory: 52403, decode.loss_ce: 0.1963, decode.acc_seg: 91.9285, loss: 0.1963 +2023-03-04 13:57:18,673 - mmseg - INFO - Iter [36250/80000] lr: 1.875e-05, eta: 2:29:07, time: 0.176, data_time: 0.007, memory: 52403, decode.loss_ce: 0.2060, decode.acc_seg: 91.7457, loss: 0.2060 +2023-03-04 13:57:28,380 - mmseg - INFO - Iter [36300/80000] lr: 1.875e-05, eta: 2:28:56, time: 0.194, data_time: 0.008, memory: 52403, decode.loss_ce: 0.1954, decode.acc_seg: 91.9853, loss: 0.1954 +2023-03-04 13:57:37,534 - mmseg - INFO - Iter [36350/80000] lr: 1.875e-05, eta: 2:28:44, time: 0.183, data_time: 0.007, memory: 52403, decode.loss_ce: 0.2021, decode.acc_seg: 91.7055, loss: 0.2021 +2023-03-04 13:57:49,061 - mmseg - INFO - Iter [36400/80000] lr: 1.875e-05, eta: 2:28:36, time: 0.230, data_time: 0.055, memory: 52403, decode.loss_ce: 0.2114, decode.acc_seg: 91.3270, loss: 0.2114 +2023-03-04 13:57:57,963 - mmseg - INFO - Iter [36450/80000] lr: 1.875e-05, eta: 2:28:24, time: 0.178, data_time: 0.007, memory: 52403, decode.loss_ce: 0.2066, decode.acc_seg: 91.4979, loss: 0.2066 +2023-03-04 13:58:06,712 - mmseg - INFO - Iter [36500/80000] lr: 1.875e-05, eta: 2:28:11, time: 0.175, data_time: 0.007, memory: 52403, decode.loss_ce: 0.2008, decode.acc_seg: 91.7247, loss: 0.2008 +2023-03-04 13:58:15,575 - mmseg - INFO - Iter [36550/80000] lr: 1.875e-05, eta: 2:27:59, time: 0.178, data_time: 0.007, memory: 52403, decode.loss_ce: 0.2004, decode.acc_seg: 91.7465, loss: 0.2004 +2023-03-04 13:58:24,270 - mmseg - INFO - Iter [36600/80000] lr: 1.875e-05, eta: 2:27:46, time: 0.174, data_time: 0.007, memory: 52403, decode.loss_ce: 0.2001, decode.acc_seg: 91.8731, loss: 0.2001 +2023-03-04 13:58:33,443 - mmseg - INFO - Iter [36650/80000] lr: 1.875e-05, eta: 2:27:35, time: 0.184, data_time: 0.007, memory: 52403, decode.loss_ce: 0.2049, decode.acc_seg: 91.6498, loss: 0.2049 +2023-03-04 13:58:42,443 - mmseg - INFO - Iter [36700/80000] lr: 1.875e-05, eta: 2:27:23, time: 0.180, data_time: 0.007, memory: 52403, decode.loss_ce: 0.1963, decode.acc_seg: 91.8647, loss: 0.1963 +2023-03-04 13:58:51,232 - mmseg - INFO - Iter [36750/80000] lr: 1.875e-05, eta: 2:27:10, time: 0.176, data_time: 0.007, memory: 52403, decode.loss_ce: 0.1922, decode.acc_seg: 91.9829, loss: 0.1922 +2023-03-04 13:59:00,401 - mmseg - INFO - Iter [36800/80000] lr: 1.875e-05, eta: 2:26:58, time: 0.183, data_time: 0.007, memory: 52403, decode.loss_ce: 0.2019, decode.acc_seg: 91.6865, loss: 0.2019 +2023-03-04 13:59:09,670 - mmseg - INFO - Iter [36850/80000] lr: 1.875e-05, eta: 2:26:47, time: 0.185, data_time: 0.007, memory: 52403, decode.loss_ce: 0.2042, decode.acc_seg: 91.6134, loss: 0.2042 +2023-03-04 13:59:18,482 - mmseg - INFO - Iter [36900/80000] lr: 1.875e-05, eta: 2:26:35, time: 0.177, data_time: 0.007, memory: 52403, decode.loss_ce: 0.1962, decode.acc_seg: 91.8468, loss: 0.1962 +2023-03-04 13:59:27,519 - mmseg - INFO - Iter [36950/80000] lr: 1.875e-05, eta: 2:26:23, time: 0.181, data_time: 0.007, memory: 52403, decode.loss_ce: 0.2001, decode.acc_seg: 91.8818, loss: 0.2001 +2023-03-04 13:59:36,348 - mmseg - INFO - Exp name: ablation_segformer_mit_b2_segformer_head_unet_fc_single_step_ade_pretrained_freeze_embed_80k_ade20k151_mask.py +2023-03-04 13:59:36,348 - mmseg - INFO - Iter [37000/80000] lr: 1.875e-05, eta: 2:26:10, time: 0.177, data_time: 0.007, memory: 52403, decode.loss_ce: 0.2033, decode.acc_seg: 91.7199, loss: 0.2033 +2023-03-04 13:59:47,455 - mmseg - INFO - Iter [37050/80000] lr: 1.875e-05, eta: 2:26:02, time: 0.222, data_time: 0.054, memory: 52403, decode.loss_ce: 0.1988, decode.acc_seg: 91.8351, loss: 0.1988 +2023-03-04 13:59:56,755 - mmseg - INFO - Iter [37100/80000] lr: 1.875e-05, eta: 2:25:50, time: 0.186, data_time: 0.007, memory: 52403, decode.loss_ce: 0.2025, decode.acc_seg: 91.6317, loss: 0.2025 +2023-03-04 14:00:05,411 - mmseg - INFO - Iter [37150/80000] lr: 1.875e-05, eta: 2:25:38, time: 0.173, data_time: 0.007, memory: 52403, decode.loss_ce: 0.1970, decode.acc_seg: 91.8477, loss: 0.1970 +2023-03-04 14:00:14,798 - mmseg - INFO - Iter [37200/80000] lr: 1.875e-05, eta: 2:25:26, time: 0.188, data_time: 0.007, memory: 52403, decode.loss_ce: 0.2008, decode.acc_seg: 91.7992, loss: 0.2008 +2023-03-04 14:00:24,239 - mmseg - INFO - Iter [37250/80000] lr: 1.875e-05, eta: 2:25:15, time: 0.189, data_time: 0.007, memory: 52403, decode.loss_ce: 0.1921, decode.acc_seg: 91.9798, loss: 0.1921 +2023-03-04 14:00:33,398 - mmseg - INFO - Iter [37300/80000] lr: 1.875e-05, eta: 2:25:03, time: 0.183, data_time: 0.007, memory: 52403, decode.loss_ce: 0.1998, decode.acc_seg: 91.9280, loss: 0.1998 +2023-03-04 14:00:42,157 - mmseg - INFO - Iter [37350/80000] lr: 1.875e-05, eta: 2:24:51, time: 0.175, data_time: 0.007, memory: 52403, decode.loss_ce: 0.2011, decode.acc_seg: 91.7487, loss: 0.2011 +2023-03-04 14:00:51,049 - mmseg - INFO - Iter [37400/80000] lr: 1.875e-05, eta: 2:24:39, time: 0.178, data_time: 0.007, memory: 52403, decode.loss_ce: 0.2022, decode.acc_seg: 91.5676, loss: 0.2022 +2023-03-04 14:01:00,692 - mmseg - INFO - Iter [37450/80000] lr: 1.875e-05, eta: 2:24:28, time: 0.193, data_time: 0.007, memory: 52403, decode.loss_ce: 0.1990, decode.acc_seg: 91.7864, loss: 0.1990 +2023-03-04 14:01:09,947 - mmseg - INFO - Iter [37500/80000] lr: 1.875e-05, eta: 2:24:16, time: 0.185, data_time: 0.007, memory: 52403, decode.loss_ce: 0.1956, decode.acc_seg: 91.9833, loss: 0.1956 +2023-03-04 14:01:19,193 - mmseg - INFO - Iter [37550/80000] lr: 1.875e-05, eta: 2:24:05, time: 0.185, data_time: 0.007, memory: 52403, decode.loss_ce: 0.1972, decode.acc_seg: 91.8858, loss: 0.1972 +2023-03-04 14:01:28,096 - mmseg - INFO - Iter [37600/80000] lr: 1.875e-05, eta: 2:23:53, time: 0.178, data_time: 0.007, memory: 52403, decode.loss_ce: 0.1941, decode.acc_seg: 91.9557, loss: 0.1941 +2023-03-04 14:01:37,081 - mmseg - INFO - Iter [37650/80000] lr: 1.875e-05, eta: 2:23:41, time: 0.180, data_time: 0.007, memory: 52403, decode.loss_ce: 0.2048, decode.acc_seg: 91.5776, loss: 0.2048 +2023-03-04 14:01:48,322 - mmseg - INFO - Iter [37700/80000] lr: 1.875e-05, eta: 2:23:32, time: 0.225, data_time: 0.056, memory: 52403, decode.loss_ce: 0.1924, decode.acc_seg: 92.0370, loss: 0.1924 +2023-03-04 14:01:57,301 - mmseg - INFO - Iter [37750/80000] lr: 1.875e-05, eta: 2:23:20, time: 0.180, data_time: 0.007, memory: 52403, decode.loss_ce: 0.2001, decode.acc_seg: 91.7507, loss: 0.2001 +2023-03-04 14:02:06,873 - mmseg - INFO - Iter [37800/80000] lr: 1.875e-05, eta: 2:23:09, time: 0.191, data_time: 0.008, memory: 52403, decode.loss_ce: 0.1999, decode.acc_seg: 91.9646, loss: 0.1999 +2023-03-04 14:02:15,559 - mmseg - INFO - Iter [37850/80000] lr: 1.875e-05, eta: 2:22:57, time: 0.173, data_time: 0.007, memory: 52403, decode.loss_ce: 0.2022, decode.acc_seg: 91.6705, loss: 0.2022 +2023-03-04 14:02:24,514 - mmseg - INFO - Iter [37900/80000] lr: 1.875e-05, eta: 2:22:45, time: 0.179, data_time: 0.007, memory: 52403, decode.loss_ce: 0.2005, decode.acc_seg: 91.8194, loss: 0.2005 +2023-03-04 14:02:33,515 - mmseg - INFO - Iter [37950/80000] lr: 1.875e-05, eta: 2:22:33, time: 0.180, data_time: 0.007, memory: 52403, decode.loss_ce: 0.2031, decode.acc_seg: 91.7270, loss: 0.2031 +2023-03-04 14:02:42,426 - mmseg - INFO - Exp name: ablation_segformer_mit_b2_segformer_head_unet_fc_single_step_ade_pretrained_freeze_embed_80k_ade20k151_mask.py +2023-03-04 14:02:42,426 - mmseg - INFO - Iter [38000/80000] lr: 1.875e-05, eta: 2:22:21, time: 0.178, data_time: 0.007, memory: 52403, decode.loss_ce: 0.1924, decode.acc_seg: 91.9957, loss: 0.1924 +2023-03-04 14:02:51,731 - mmseg - INFO - Iter [38050/80000] lr: 1.875e-05, eta: 2:22:10, time: 0.186, data_time: 0.007, memory: 52403, decode.loss_ce: 0.2120, decode.acc_seg: 91.2861, loss: 0.2120 +2023-03-04 14:03:00,754 - mmseg - INFO - Iter [38100/80000] lr: 1.875e-05, eta: 2:21:58, time: 0.181, data_time: 0.007, memory: 52403, decode.loss_ce: 0.2154, decode.acc_seg: 91.0912, loss: 0.2154 +2023-03-04 14:03:09,526 - mmseg - INFO - Iter [38150/80000] lr: 1.875e-05, eta: 2:21:46, time: 0.175, data_time: 0.007, memory: 52403, decode.loss_ce: 0.2002, decode.acc_seg: 91.7897, loss: 0.2002 +2023-03-04 14:03:18,429 - mmseg - INFO - Iter [38200/80000] lr: 1.875e-05, eta: 2:21:34, time: 0.178, data_time: 0.007, memory: 52403, decode.loss_ce: 0.1957, decode.acc_seg: 91.9026, loss: 0.1957 +2023-03-04 14:03:27,568 - mmseg - INFO - Iter [38250/80000] lr: 1.875e-05, eta: 2:21:23, time: 0.183, data_time: 0.007, memory: 52403, decode.loss_ce: 0.2023, decode.acc_seg: 91.7036, loss: 0.2023 +2023-03-04 14:03:38,646 - mmseg - INFO - Iter [38300/80000] lr: 1.875e-05, eta: 2:21:14, time: 0.222, data_time: 0.056, memory: 52403, decode.loss_ce: 0.1952, decode.acc_seg: 91.9443, loss: 0.1952 +2023-03-04 14:03:47,290 - mmseg - INFO - Iter [38350/80000] lr: 1.875e-05, eta: 2:21:02, time: 0.173, data_time: 0.007, memory: 52403, decode.loss_ce: 0.1972, decode.acc_seg: 91.9199, loss: 0.1972 +2023-03-04 14:03:56,167 - mmseg - INFO - Iter [38400/80000] lr: 1.875e-05, eta: 2:20:50, time: 0.178, data_time: 0.007, memory: 52403, decode.loss_ce: 0.2013, decode.acc_seg: 91.7350, loss: 0.2013 +2023-03-04 14:04:05,400 - mmseg - INFO - Iter [38450/80000] lr: 1.875e-05, eta: 2:20:38, time: 0.184, data_time: 0.007, memory: 52403, decode.loss_ce: 0.1957, decode.acc_seg: 91.7961, loss: 0.1957 +2023-03-04 14:04:14,303 - mmseg - INFO - Iter [38500/80000] lr: 1.875e-05, eta: 2:20:26, time: 0.178, data_time: 0.007, memory: 52403, decode.loss_ce: 0.2037, decode.acc_seg: 91.6663, loss: 0.2037 +2023-03-04 14:04:22,970 - mmseg - INFO - Iter [38550/80000] lr: 1.875e-05, eta: 2:20:14, time: 0.173, data_time: 0.007, memory: 52403, decode.loss_ce: 0.2004, decode.acc_seg: 91.8172, loss: 0.2004 +2023-03-04 14:04:32,354 - mmseg - INFO - Iter [38600/80000] lr: 1.875e-05, eta: 2:20:03, time: 0.188, data_time: 0.008, memory: 52403, decode.loss_ce: 0.2052, decode.acc_seg: 91.5460, loss: 0.2052 +2023-03-04 14:04:41,677 - mmseg - INFO - Iter [38650/80000] lr: 1.875e-05, eta: 2:19:52, time: 0.186, data_time: 0.007, memory: 52403, decode.loss_ce: 0.2010, decode.acc_seg: 91.6678, loss: 0.2010 +2023-03-04 14:04:50,796 - mmseg - INFO - Iter [38700/80000] lr: 1.875e-05, eta: 2:19:40, time: 0.182, data_time: 0.006, memory: 52403, decode.loss_ce: 0.1985, decode.acc_seg: 91.7879, loss: 0.1985 +2023-03-04 14:05:00,089 - mmseg - INFO - Iter [38750/80000] lr: 1.875e-05, eta: 2:19:29, time: 0.186, data_time: 0.007, memory: 52403, decode.loss_ce: 0.2023, decode.acc_seg: 91.5326, loss: 0.2023 +2023-03-04 14:05:08,872 - mmseg - INFO - Iter [38800/80000] lr: 1.875e-05, eta: 2:19:17, time: 0.175, data_time: 0.007, memory: 52403, decode.loss_ce: 0.1926, decode.acc_seg: 92.0329, loss: 0.1926 +2023-03-04 14:05:17,903 - mmseg - INFO - Iter [38850/80000] lr: 1.875e-05, eta: 2:19:05, time: 0.181, data_time: 0.007, memory: 52403, decode.loss_ce: 0.1957, decode.acc_seg: 91.8564, loss: 0.1957 +2023-03-04 14:05:27,084 - mmseg - INFO - Iter [38900/80000] lr: 1.875e-05, eta: 2:18:54, time: 0.183, data_time: 0.007, memory: 52403, decode.loss_ce: 0.1986, decode.acc_seg: 91.7660, loss: 0.1986 +2023-03-04 14:05:38,666 - mmseg - INFO - Iter [38950/80000] lr: 1.875e-05, eta: 2:18:46, time: 0.232, data_time: 0.055, memory: 52403, decode.loss_ce: 0.1956, decode.acc_seg: 92.0799, loss: 0.1956 +2023-03-04 14:05:47,346 - mmseg - INFO - Exp name: ablation_segformer_mit_b2_segformer_head_unet_fc_single_step_ade_pretrained_freeze_embed_80k_ade20k151_mask.py +2023-03-04 14:05:47,347 - mmseg - INFO - Iter [39000/80000] lr: 1.875e-05, eta: 2:18:34, time: 0.174, data_time: 0.007, memory: 52403, decode.loss_ce: 0.2085, decode.acc_seg: 91.5074, loss: 0.2085 +2023-03-04 14:05:56,074 - mmseg - INFO - Iter [39050/80000] lr: 1.875e-05, eta: 2:18:22, time: 0.175, data_time: 0.007, memory: 52403, decode.loss_ce: 0.2039, decode.acc_seg: 91.6860, loss: 0.2039 +2023-03-04 14:06:05,209 - mmseg - INFO - Iter [39100/80000] lr: 1.875e-05, eta: 2:18:10, time: 0.183, data_time: 0.007, memory: 52403, decode.loss_ce: 0.1978, decode.acc_seg: 91.9239, loss: 0.1978 +2023-03-04 14:06:14,382 - mmseg - INFO - Iter [39150/80000] lr: 1.875e-05, eta: 2:17:59, time: 0.183, data_time: 0.007, memory: 52403, decode.loss_ce: 0.2082, decode.acc_seg: 91.4239, loss: 0.2082 +2023-03-04 14:06:23,087 - mmseg - INFO - Iter [39200/80000] lr: 1.875e-05, eta: 2:17:47, time: 0.174, data_time: 0.007, memory: 52403, decode.loss_ce: 0.1981, decode.acc_seg: 91.9565, loss: 0.1981 +2023-03-04 14:06:31,940 - mmseg - INFO - Iter [39250/80000] lr: 1.875e-05, eta: 2:17:35, time: 0.177, data_time: 0.007, memory: 52403, decode.loss_ce: 0.2030, decode.acc_seg: 91.6253, loss: 0.2030 +2023-03-04 14:06:40,871 - mmseg - INFO - Iter [39300/80000] lr: 1.875e-05, eta: 2:17:23, time: 0.179, data_time: 0.007, memory: 52403, decode.loss_ce: 0.2060, decode.acc_seg: 91.4129, loss: 0.2060 +2023-03-04 14:06:49,458 - mmseg - INFO - Iter [39350/80000] lr: 1.875e-05, eta: 2:17:11, time: 0.172, data_time: 0.007, memory: 52403, decode.loss_ce: 0.1938, decode.acc_seg: 92.1204, loss: 0.1938 +2023-03-04 14:06:58,119 - mmseg - INFO - Iter [39400/80000] lr: 1.875e-05, eta: 2:16:59, time: 0.173, data_time: 0.007, memory: 52403, decode.loss_ce: 0.1945, decode.acc_seg: 91.8496, loss: 0.1945 +2023-03-04 14:07:07,180 - mmseg - INFO - Iter [39450/80000] lr: 1.875e-05, eta: 2:16:48, time: 0.181, data_time: 0.007, memory: 52403, decode.loss_ce: 0.2021, decode.acc_seg: 91.6720, loss: 0.2021 +2023-03-04 14:07:15,911 - mmseg - INFO - Iter [39500/80000] lr: 1.875e-05, eta: 2:16:36, time: 0.175, data_time: 0.007, memory: 52403, decode.loss_ce: 0.2023, decode.acc_seg: 91.7615, loss: 0.2023 +2023-03-04 14:07:26,912 - mmseg - INFO - Iter [39550/80000] lr: 1.875e-05, eta: 2:16:27, time: 0.220, data_time: 0.054, memory: 52403, decode.loss_ce: 0.1976, decode.acc_seg: 91.7837, loss: 0.1976 +2023-03-04 14:07:35,900 - mmseg - INFO - Iter [39600/80000] lr: 1.875e-05, eta: 2:16:15, time: 0.180, data_time: 0.007, memory: 52403, decode.loss_ce: 0.2020, decode.acc_seg: 91.7738, loss: 0.2020 +2023-03-04 14:07:45,058 - mmseg - INFO - Iter [39650/80000] lr: 1.875e-05, eta: 2:16:04, time: 0.183, data_time: 0.007, memory: 52403, decode.loss_ce: 0.2051, decode.acc_seg: 91.4048, loss: 0.2051 +2023-03-04 14:07:54,200 - mmseg - INFO - Iter [39700/80000] lr: 1.875e-05, eta: 2:15:52, time: 0.183, data_time: 0.007, memory: 52403, decode.loss_ce: 0.2018, decode.acc_seg: 91.7437, loss: 0.2018 +2023-03-04 14:08:03,808 - mmseg - INFO - Iter [39750/80000] lr: 1.875e-05, eta: 2:15:42, time: 0.192, data_time: 0.007, memory: 52403, decode.loss_ce: 0.1946, decode.acc_seg: 91.9642, loss: 0.1946 +2023-03-04 14:08:12,469 - mmseg - INFO - Iter [39800/80000] lr: 1.875e-05, eta: 2:15:30, time: 0.173, data_time: 0.007, memory: 52403, decode.loss_ce: 0.1972, decode.acc_seg: 91.8733, loss: 0.1972 +2023-03-04 14:08:21,381 - mmseg - INFO - Iter [39850/80000] lr: 1.875e-05, eta: 2:15:18, time: 0.178, data_time: 0.007, memory: 52403, decode.loss_ce: 0.2065, decode.acc_seg: 91.4984, loss: 0.2065 +2023-03-04 14:08:30,222 - mmseg - INFO - Iter [39900/80000] lr: 1.875e-05, eta: 2:15:06, time: 0.177, data_time: 0.007, memory: 52403, decode.loss_ce: 0.1902, decode.acc_seg: 92.1383, loss: 0.1902 +2023-03-04 14:08:39,040 - mmseg - INFO - Iter [39950/80000] lr: 1.875e-05, eta: 2:14:55, time: 0.176, data_time: 0.007, memory: 52403, decode.loss_ce: 0.2020, decode.acc_seg: 91.8179, loss: 0.2020 +2023-03-04 14:08:48,444 - mmseg - INFO - Saving checkpoint at 40000 iterations +2023-03-04 14:08:49,073 - mmseg - INFO - Exp name: ablation_segformer_mit_b2_segformer_head_unet_fc_single_step_ade_pretrained_freeze_embed_80k_ade20k151_mask.py +2023-03-04 14:08:49,073 - mmseg - INFO - Iter [40000/80000] lr: 1.875e-05, eta: 2:14:44, time: 0.201, data_time: 0.007, memory: 52403, decode.loss_ce: 0.2105, decode.acc_seg: 91.3989, loss: 0.2105 +2023-03-04 14:09:04,847 - mmseg - INFO - per class results: +2023-03-04 14:09:04,853 - mmseg - INFO - ++---------------------+-------+-------+ +| Class | IoU | Acc | ++---------------------+-------+-------+ +| background | nan | nan | +| wall | 77.22 | 89.1 | +| building | 81.29 | 91.94 | +| sky | 94.34 | 97.0 | +| floor | 81.41 | 90.33 | +| tree | 73.64 | 87.93 | +| ceiling | 85.1 | 92.4 | +| road | 81.84 | 90.63 | +| bed | 87.14 | 95.29 | +| windowpane | 60.14 | 78.92 | +| grass | 67.15 | 83.08 | +| cabinet | 59.45 | 71.8 | +| sidewalk | 63.84 | 77.77 | +| person | 79.09 | 91.44 | +| earth | 35.75 | 49.32 | +| door | 44.98 | 58.99 | +| table | 59.61 | 75.22 | +| mountain | 57.93 | 73.69 | +| plant | 50.38 | 61.89 | +| curtain | 73.36 | 83.26 | +| chair | 55.77 | 68.17 | +| car | 80.43 | 92.62 | +| water | 56.89 | 75.66 | +| painting | 70.86 | 84.74 | +| sofa | 63.54 | 79.47 | +| shelf | 43.65 | 62.29 | +| house | 42.25 | 59.3 | +| sea | 59.64 | 77.15 | +| mirror | 64.66 | 73.1 | +| rug | 66.71 | 78.73 | +| field | 30.46 | 45.72 | +| armchair | 37.8 | 57.03 | +| seat | 65.54 | 84.14 | +| fence | 41.48 | 54.82 | +| desk | 46.21 | 66.34 | +| rock | 35.99 | 57.53 | +| wardrobe | 55.5 | 70.41 | +| lamp | 59.74 | 72.0 | +| bathtub | 75.78 | 82.41 | +| railing | 33.0 | 46.32 | +| cushion | 55.78 | 68.87 | +| base | 21.51 | 26.88 | +| box | 23.22 | 30.99 | +| column | 45.19 | 57.06 | +| signboard | 36.67 | 49.91 | +| chest of drawers | 35.16 | 61.01 | +| counter | 31.19 | 41.67 | +| sand | 41.96 | 57.46 | +| sink | 66.34 | 77.74 | +| skyscraper | 49.38 | 61.82 | +| fireplace | 74.28 | 84.65 | +| refrigerator | 73.41 | 86.26 | +| grandstand | 56.06 | 62.52 | +| path | 21.34 | 29.0 | +| stairs | 32.34 | 42.18 | +| runway | 67.26 | 86.83 | +| case | 47.35 | 59.89 | +| pool table | 91.33 | 94.86 | +| pillow | 59.43 | 69.4 | +| screen door | 67.63 | 74.1 | +| stairway | 22.39 | 35.77 | +| river | 11.85 | 20.33 | +| bridge | 33.99 | 39.14 | +| bookcase | 45.17 | 61.0 | +| blind | 38.98 | 44.34 | +| coffee table | 52.59 | 78.73 | +| toilet | 82.98 | 89.21 | +| flower | 38.13 | 52.84 | +| book | 44.22 | 67.06 | +| hill | 13.93 | 18.91 | +| bench | 41.73 | 54.73 | +| countertop | 52.84 | 71.99 | +| stove | 69.85 | 80.55 | +| palm | 48.06 | 68.66 | +| kitchen island | 39.59 | 60.93 | +| computer | 59.88 | 68.25 | +| swivel chair | 44.88 | 60.5 | +| boat | 68.82 | 83.25 | +| bar | 23.81 | 32.05 | +| arcade machine | 71.33 | 74.72 | +| hovel | 30.04 | 32.96 | +| bus | 75.13 | 91.57 | +| towel | 62.12 | 72.32 | +| light | 50.3 | 54.91 | +| truck | 16.53 | 22.22 | +| tower | 6.11 | 9.72 | +| chandelier | 63.19 | 77.7 | +| awning | 22.78 | 26.35 | +| streetlight | 24.37 | 32.04 | +| booth | 42.7 | 44.98 | +| television receiver | 64.69 | 75.29 | +| airplane | 59.43 | 65.88 | +| dirt track | 19.53 | 49.58 | +| apparel | 32.92 | 53.06 | +| pole | 15.71 | 20.31 | +| land | 4.64 | 6.6 | +| bannister | 9.82 | 12.88 | +| escalator | 23.01 | 24.15 | +| ottoman | 40.28 | 62.78 | +| bottle | 35.3 | 58.42 | +| buffet | 40.15 | 47.91 | +| poster | 23.57 | 33.72 | +| stage | 13.12 | 16.97 | +| van | 38.06 | 53.33 | +| ship | 74.46 | 90.86 | +| fountain | 21.63 | 22.05 | +| conveyer belt | 84.7 | 90.76 | +| canopy | 23.21 | 25.49 | +| washer | 80.18 | 82.69 | +| plaything | 20.97 | 31.34 | +| swimming pool | 73.6 | 80.69 | +| stool | 42.93 | 58.3 | +| barrel | 43.54 | 62.03 | +| basket | 25.52 | 38.0 | +| waterfall | 47.51 | 63.42 | +| tent | 94.66 | 97.48 | +| bag | 15.09 | 18.18 | +| minibike | 62.06 | 73.99 | +| cradle | 81.17 | 97.04 | +| oven | 45.46 | 67.08 | +| ball | 45.31 | 52.81 | +| food | 53.3 | 64.37 | +| step | 5.56 | 5.97 | +| tank | 47.44 | 52.15 | +| trade name | 20.61 | 21.47 | +| microwave | 69.72 | 74.09 | +| pot | 30.18 | 33.88 | +| animal | 53.31 | 59.71 | +| bicycle | 52.68 | 67.64 | +| lake | 57.18 | 62.72 | +| dishwasher | 65.36 | 76.3 | +| screen | 70.33 | 82.61 | +| blanket | 16.41 | 18.9 | +| sculpture | 56.6 | 78.22 | +| hood | 56.35 | 60.62 | +| sconce | 41.59 | 51.93 | +| vase | 36.16 | 46.75 | +| traffic light | 32.05 | 49.27 | +| tray | 6.38 | 9.03 | +| ashcan | 42.15 | 50.54 | +| fan | 58.01 | 67.87 | +| pier | 47.96 | 61.98 | +| crt screen | 8.14 | 20.31 | +| plate | 51.61 | 66.34 | +| monitor | 18.87 | 22.42 | +| bulletin board | 37.05 | 47.4 | +| shower | 1.45 | 5.88 | +| radiator | 60.66 | 69.25 | +| glass | 11.95 | 12.84 | +| clock | 32.25 | 35.04 | +| flag | 34.27 | 38.49 | ++---------------------+-------+-------+ +2023-03-04 14:09:04,853 - mmseg - INFO - Summary: +2023-03-04 14:09:04,853 - mmseg - INFO - ++-------+-------+-------+ +| aAcc | mIoU | mAcc | ++-------+-------+-------+ +| 82.53 | 47.82 | 58.84 | ++-------+-------+-------+ +2023-03-04 14:09:04,854 - mmseg - INFO - Exp name: ablation_segformer_mit_b2_segformer_head_unet_fc_single_step_ade_pretrained_freeze_embed_80k_ade20k151_mask.py +2023-03-04 14:09:04,855 - mmseg - INFO - Iter(val) [250] aAcc: 0.8253, mIoU: 0.4782, mAcc: 0.5884, IoU.background: nan, IoU.wall: 0.7722, IoU.building: 0.8129, IoU.sky: 0.9434, IoU.floor: 0.8141, IoU.tree: 0.7364, IoU.ceiling: 0.8510, IoU.road: 0.8184, IoU.bed : 0.8714, IoU.windowpane: 0.6014, IoU.grass: 0.6715, IoU.cabinet: 0.5945, IoU.sidewalk: 0.6384, IoU.person: 0.7909, IoU.earth: 0.3575, IoU.door: 0.4498, IoU.table: 0.5961, IoU.mountain: 0.5793, IoU.plant: 0.5038, IoU.curtain: 0.7336, IoU.chair: 0.5577, IoU.car: 0.8043, IoU.water: 0.5689, IoU.painting: 0.7086, IoU.sofa: 0.6354, IoU.shelf: 0.4365, IoU.house: 0.4225, IoU.sea: 0.5964, IoU.mirror: 0.6466, IoU.rug: 0.6671, IoU.field: 0.3046, IoU.armchair: 0.3780, IoU.seat: 0.6554, IoU.fence: 0.4148, IoU.desk: 0.4621, IoU.rock: 0.3599, IoU.wardrobe: 0.5550, IoU.lamp: 0.5974, IoU.bathtub: 0.7578, IoU.railing: 0.3300, IoU.cushion: 0.5578, IoU.base: 0.2151, IoU.box: 0.2322, IoU.column: 0.4519, IoU.signboard: 0.3667, IoU.chest of drawers: 0.3516, IoU.counter: 0.3119, IoU.sand: 0.4196, IoU.sink: 0.6634, IoU.skyscraper: 0.4938, IoU.fireplace: 0.7428, IoU.refrigerator: 0.7341, IoU.grandstand: 0.5606, IoU.path: 0.2134, IoU.stairs: 0.3234, IoU.runway: 0.6726, IoU.case: 0.4735, IoU.pool table: 0.9133, IoU.pillow: 0.5943, IoU.screen door: 0.6763, IoU.stairway: 0.2239, IoU.river: 0.1185, IoU.bridge: 0.3399, IoU.bookcase: 0.4517, IoU.blind: 0.3898, IoU.coffee table: 0.5259, IoU.toilet: 0.8298, IoU.flower: 0.3813, IoU.book: 0.4422, IoU.hill: 0.1393, IoU.bench: 0.4173, IoU.countertop: 0.5284, IoU.stove: 0.6985, IoU.palm: 0.4806, IoU.kitchen island: 0.3959, IoU.computer: 0.5988, IoU.swivel chair: 0.4488, IoU.boat: 0.6882, IoU.bar: 0.2381, IoU.arcade machine: 0.7133, IoU.hovel: 0.3004, IoU.bus: 0.7513, IoU.towel: 0.6212, IoU.light: 0.5030, IoU.truck: 0.1653, IoU.tower: 0.0611, IoU.chandelier: 0.6319, IoU.awning: 0.2278, IoU.streetlight: 0.2437, IoU.booth: 0.4270, IoU.television receiver: 0.6469, IoU.airplane: 0.5943, IoU.dirt track: 0.1953, IoU.apparel: 0.3292, IoU.pole: 0.1571, IoU.land: 0.0464, IoU.bannister: 0.0982, IoU.escalator: 0.2301, IoU.ottoman: 0.4028, IoU.bottle: 0.3530, IoU.buffet: 0.4015, IoU.poster: 0.2357, IoU.stage: 0.1312, IoU.van: 0.3806, IoU.ship: 0.7446, IoU.fountain: 0.2163, IoU.conveyer belt: 0.8470, IoU.canopy: 0.2321, IoU.washer: 0.8018, IoU.plaything: 0.2097, IoU.swimming pool: 0.7360, IoU.stool: 0.4293, IoU.barrel: 0.4354, IoU.basket: 0.2552, IoU.waterfall: 0.4751, IoU.tent: 0.9466, IoU.bag: 0.1509, IoU.minibike: 0.6206, IoU.cradle: 0.8117, IoU.oven: 0.4546, IoU.ball: 0.4531, IoU.food: 0.5330, IoU.step: 0.0556, IoU.tank: 0.4744, IoU.trade name: 0.2061, IoU.microwave: 0.6972, IoU.pot: 0.3018, IoU.animal: 0.5331, IoU.bicycle: 0.5268, IoU.lake: 0.5718, IoU.dishwasher: 0.6536, IoU.screen: 0.7033, IoU.blanket: 0.1641, IoU.sculpture: 0.5660, IoU.hood: 0.5635, IoU.sconce: 0.4159, IoU.vase: 0.3616, IoU.traffic light: 0.3205, IoU.tray: 0.0638, IoU.ashcan: 0.4215, IoU.fan: 0.5801, IoU.pier: 0.4796, IoU.crt screen: 0.0814, IoU.plate: 0.5161, IoU.monitor: 0.1887, IoU.bulletin board: 0.3705, IoU.shower: 0.0145, IoU.radiator: 0.6066, IoU.glass: 0.1195, IoU.clock: 0.3225, IoU.flag: 0.3427, Acc.background: nan, Acc.wall: 0.8910, Acc.building: 0.9194, Acc.sky: 0.9700, Acc.floor: 0.9033, Acc.tree: 0.8793, Acc.ceiling: 0.9240, Acc.road: 0.9063, Acc.bed : 0.9529, Acc.windowpane: 0.7892, Acc.grass: 0.8308, Acc.cabinet: 0.7180, Acc.sidewalk: 0.7777, Acc.person: 0.9144, Acc.earth: 0.4932, Acc.door: 0.5899, Acc.table: 0.7522, Acc.mountain: 0.7369, Acc.plant: 0.6189, Acc.curtain: 0.8326, Acc.chair: 0.6817, Acc.car: 0.9262, Acc.water: 0.7566, Acc.painting: 0.8474, Acc.sofa: 0.7947, Acc.shelf: 0.6229, Acc.house: 0.5930, Acc.sea: 0.7715, Acc.mirror: 0.7310, Acc.rug: 0.7873, Acc.field: 0.4572, Acc.armchair: 0.5703, Acc.seat: 0.8414, Acc.fence: 0.5482, Acc.desk: 0.6634, Acc.rock: 0.5753, Acc.wardrobe: 0.7041, Acc.lamp: 0.7200, Acc.bathtub: 0.8241, Acc.railing: 0.4632, Acc.cushion: 0.6887, Acc.base: 0.2688, Acc.box: 0.3099, Acc.column: 0.5706, Acc.signboard: 0.4991, Acc.chest of drawers: 0.6101, Acc.counter: 0.4167, Acc.sand: 0.5746, Acc.sink: 0.7774, Acc.skyscraper: 0.6182, Acc.fireplace: 0.8465, Acc.refrigerator: 0.8626, Acc.grandstand: 0.6252, Acc.path: 0.2900, Acc.stairs: 0.4218, Acc.runway: 0.8683, Acc.case: 0.5989, Acc.pool table: 0.9486, Acc.pillow: 0.6940, Acc.screen door: 0.7410, Acc.stairway: 0.3577, Acc.river: 0.2033, Acc.bridge: 0.3914, Acc.bookcase: 0.6100, Acc.blind: 0.4434, Acc.coffee table: 0.7873, Acc.toilet: 0.8921, Acc.flower: 0.5284, Acc.book: 0.6706, Acc.hill: 0.1891, Acc.bench: 0.5473, Acc.countertop: 0.7199, Acc.stove: 0.8055, Acc.palm: 0.6866, Acc.kitchen island: 0.6093, Acc.computer: 0.6825, Acc.swivel chair: 0.6050, Acc.boat: 0.8325, Acc.bar: 0.3205, Acc.arcade machine: 0.7472, Acc.hovel: 0.3296, Acc.bus: 0.9157, Acc.towel: 0.7232, Acc.light: 0.5491, Acc.truck: 0.2222, Acc.tower: 0.0972, Acc.chandelier: 0.7770, Acc.awning: 0.2635, Acc.streetlight: 0.3204, Acc.booth: 0.4498, Acc.television receiver: 0.7529, Acc.airplane: 0.6588, Acc.dirt track: 0.4958, Acc.apparel: 0.5306, Acc.pole: 0.2031, Acc.land: 0.0660, Acc.bannister: 0.1288, Acc.escalator: 0.2415, Acc.ottoman: 0.6278, Acc.bottle: 0.5842, Acc.buffet: 0.4791, Acc.poster: 0.3372, Acc.stage: 0.1697, Acc.van: 0.5333, Acc.ship: 0.9086, Acc.fountain: 0.2205, Acc.conveyer belt: 0.9076, Acc.canopy: 0.2549, Acc.washer: 0.8269, Acc.plaything: 0.3134, Acc.swimming pool: 0.8069, Acc.stool: 0.5830, Acc.barrel: 0.6203, Acc.basket: 0.3800, Acc.waterfall: 0.6342, Acc.tent: 0.9748, Acc.bag: 0.1818, Acc.minibike: 0.7399, Acc.cradle: 0.9704, Acc.oven: 0.6708, Acc.ball: 0.5281, Acc.food: 0.6437, Acc.step: 0.0597, Acc.tank: 0.5215, Acc.trade name: 0.2147, Acc.microwave: 0.7409, Acc.pot: 0.3388, Acc.animal: 0.5971, Acc.bicycle: 0.6764, Acc.lake: 0.6272, Acc.dishwasher: 0.7630, Acc.screen: 0.8261, Acc.blanket: 0.1890, Acc.sculpture: 0.7822, Acc.hood: 0.6062, Acc.sconce: 0.5193, Acc.vase: 0.4675, Acc.traffic light: 0.4927, Acc.tray: 0.0903, Acc.ashcan: 0.5054, Acc.fan: 0.6787, Acc.pier: 0.6198, Acc.crt screen: 0.2031, Acc.plate: 0.6634, Acc.monitor: 0.2242, Acc.bulletin board: 0.4740, Acc.shower: 0.0588, Acc.radiator: 0.6925, Acc.glass: 0.1284, Acc.clock: 0.3504, Acc.flag: 0.3849 +2023-03-04 14:09:13,745 - mmseg - INFO - Iter [40050/80000] lr: 9.375e-06, eta: 2:14:53, time: 0.493, data_time: 0.323, memory: 52403, decode.loss_ce: 0.1996, decode.acc_seg: 91.9256, loss: 0.1996 +2023-03-04 14:09:22,796 - mmseg - INFO - Iter [40100/80000] lr: 9.375e-06, eta: 2:14:41, time: 0.181, data_time: 0.007, memory: 52403, decode.loss_ce: 0.1995, decode.acc_seg: 91.8060, loss: 0.1995 +2023-03-04 14:09:31,590 - mmseg - INFO - Iter [40150/80000] lr: 9.375e-06, eta: 2:14:29, time: 0.176, data_time: 0.007, memory: 52403, decode.loss_ce: 0.2054, decode.acc_seg: 91.6107, loss: 0.2054 +2023-03-04 14:09:42,746 - mmseg - INFO - Iter [40200/80000] lr: 9.375e-06, eta: 2:14:20, time: 0.223, data_time: 0.054, memory: 52403, decode.loss_ce: 0.1946, decode.acc_seg: 91.9370, loss: 0.1946 +2023-03-04 14:09:51,759 - mmseg - INFO - Iter [40250/80000] lr: 9.375e-06, eta: 2:14:09, time: 0.180, data_time: 0.007, memory: 52403, decode.loss_ce: 0.1909, decode.acc_seg: 92.1901, loss: 0.1909 +2023-03-04 14:10:00,458 - mmseg - INFO - Iter [40300/80000] lr: 9.375e-06, eta: 2:13:57, time: 0.174, data_time: 0.007, memory: 52403, decode.loss_ce: 0.2040, decode.acc_seg: 91.7722, loss: 0.2040 +2023-03-04 14:10:09,285 - mmseg - INFO - Iter [40350/80000] lr: 9.375e-06, eta: 2:13:45, time: 0.176, data_time: 0.007, memory: 52403, decode.loss_ce: 0.2028, decode.acc_seg: 91.7698, loss: 0.2028 +2023-03-04 14:10:18,276 - mmseg - INFO - Iter [40400/80000] lr: 9.375e-06, eta: 2:13:34, time: 0.180, data_time: 0.007, memory: 52403, decode.loss_ce: 0.2051, decode.acc_seg: 91.7120, loss: 0.2051 +2023-03-04 14:10:27,154 - mmseg - INFO - Iter [40450/80000] lr: 9.375e-06, eta: 2:13:22, time: 0.178, data_time: 0.007, memory: 52403, decode.loss_ce: 0.1860, decode.acc_seg: 92.3085, loss: 0.1860 +2023-03-04 14:10:35,844 - mmseg - INFO - Iter [40500/80000] lr: 9.375e-06, eta: 2:13:10, time: 0.174, data_time: 0.007, memory: 52403, decode.loss_ce: 0.2092, decode.acc_seg: 91.2407, loss: 0.2092 +2023-03-04 14:10:44,550 - mmseg - INFO - Iter [40550/80000] lr: 9.375e-06, eta: 2:12:59, time: 0.174, data_time: 0.007, memory: 52403, decode.loss_ce: 0.1918, decode.acc_seg: 92.1152, loss: 0.1918 +2023-03-04 14:10:53,253 - mmseg - INFO - Iter [40600/80000] lr: 9.375e-06, eta: 2:12:47, time: 0.174, data_time: 0.007, memory: 52403, decode.loss_ce: 0.1986, decode.acc_seg: 91.8058, loss: 0.1986 +2023-03-04 14:11:02,228 - mmseg - INFO - Iter [40650/80000] lr: 9.375e-06, eta: 2:12:35, time: 0.180, data_time: 0.007, memory: 52403, decode.loss_ce: 0.1978, decode.acc_seg: 91.7751, loss: 0.1978 +2023-03-04 14:11:11,021 - mmseg - INFO - Iter [40700/80000] lr: 9.375e-06, eta: 2:12:24, time: 0.176, data_time: 0.007, memory: 52403, decode.loss_ce: 0.1949, decode.acc_seg: 91.9427, loss: 0.1949 +2023-03-04 14:11:20,139 - mmseg - INFO - Iter [40750/80000] lr: 9.375e-06, eta: 2:12:12, time: 0.182, data_time: 0.007, memory: 52403, decode.loss_ce: 0.2036, decode.acc_seg: 91.5087, loss: 0.2036 +2023-03-04 14:11:29,148 - mmseg - INFO - Iter [40800/80000] lr: 9.375e-06, eta: 2:12:01, time: 0.180, data_time: 0.007, memory: 52403, decode.loss_ce: 0.1996, decode.acc_seg: 91.7713, loss: 0.1996 +2023-03-04 14:11:40,738 - mmseg - INFO - Iter [40850/80000] lr: 9.375e-06, eta: 2:11:52, time: 0.232, data_time: 0.054, memory: 52403, decode.loss_ce: 0.2050, decode.acc_seg: 91.6386, loss: 0.2050 +2023-03-04 14:11:49,507 - mmseg - INFO - Iter [40900/80000] lr: 9.375e-06, eta: 2:11:41, time: 0.175, data_time: 0.007, memory: 52403, decode.loss_ce: 0.1997, decode.acc_seg: 91.7619, loss: 0.1997 +2023-03-04 14:11:58,780 - mmseg - INFO - Iter [40950/80000] lr: 9.375e-06, eta: 2:11:30, time: 0.185, data_time: 0.007, memory: 52403, decode.loss_ce: 0.1931, decode.acc_seg: 92.0891, loss: 0.1931 +2023-03-04 14:12:07,762 - mmseg - INFO - Exp name: ablation_segformer_mit_b2_segformer_head_unet_fc_single_step_ade_pretrained_freeze_embed_80k_ade20k151_mask.py +2023-03-04 14:12:07,762 - mmseg - INFO - Iter [41000/80000] lr: 9.375e-06, eta: 2:11:18, time: 0.180, data_time: 0.007, memory: 52403, decode.loss_ce: 0.2009, decode.acc_seg: 91.7094, loss: 0.2009 +2023-03-04 14:12:16,773 - mmseg - INFO - Iter [41050/80000] lr: 9.375e-06, eta: 2:11:07, time: 0.180, data_time: 0.007, memory: 52403, decode.loss_ce: 0.2062, decode.acc_seg: 91.5608, loss: 0.2062 +2023-03-04 14:12:25,455 - mmseg - INFO - Iter [41100/80000] lr: 9.375e-06, eta: 2:10:55, time: 0.174, data_time: 0.007, memory: 52403, decode.loss_ce: 0.2039, decode.acc_seg: 91.5308, loss: 0.2039 +2023-03-04 14:12:35,054 - mmseg - INFO - Iter [41150/80000] lr: 9.375e-06, eta: 2:10:44, time: 0.192, data_time: 0.007, memory: 52403, decode.loss_ce: 0.2051, decode.acc_seg: 91.5490, loss: 0.2051 +2023-03-04 14:12:44,155 - mmseg - INFO - Iter [41200/80000] lr: 9.375e-06, eta: 2:10:33, time: 0.182, data_time: 0.007, memory: 52403, decode.loss_ce: 0.1903, decode.acc_seg: 92.1499, loss: 0.1903 +2023-03-04 14:12:53,872 - mmseg - INFO - Iter [41250/80000] lr: 9.375e-06, eta: 2:10:23, time: 0.194, data_time: 0.007, memory: 52403, decode.loss_ce: 0.1959, decode.acc_seg: 91.9580, loss: 0.1959 +2023-03-04 14:13:02,537 - mmseg - INFO - Iter [41300/80000] lr: 9.375e-06, eta: 2:10:11, time: 0.174, data_time: 0.007, memory: 52403, decode.loss_ce: 0.1985, decode.acc_seg: 91.7535, loss: 0.1985 +2023-03-04 14:13:11,374 - mmseg - INFO - Iter [41350/80000] lr: 9.375e-06, eta: 2:09:59, time: 0.177, data_time: 0.007, memory: 52403, decode.loss_ce: 0.2076, decode.acc_seg: 91.5628, loss: 0.2076 +2023-03-04 14:13:20,411 - mmseg - INFO - Iter [41400/80000] lr: 9.375e-06, eta: 2:09:48, time: 0.181, data_time: 0.007, memory: 52403, decode.loss_ce: 0.2071, decode.acc_seg: 91.5725, loss: 0.2071 +2023-03-04 14:13:31,718 - mmseg - INFO - Iter [41450/80000] lr: 9.375e-06, eta: 2:09:39, time: 0.226, data_time: 0.054, memory: 52403, decode.loss_ce: 0.1970, decode.acc_seg: 91.9623, loss: 0.1970 +2023-03-04 14:13:40,392 - mmseg - INFO - Iter [41500/80000] lr: 9.375e-06, eta: 2:09:28, time: 0.174, data_time: 0.007, memory: 52403, decode.loss_ce: 0.1822, decode.acc_seg: 92.2895, loss: 0.1822 +2023-03-04 14:13:49,593 - mmseg - INFO - Iter [41550/80000] lr: 9.375e-06, eta: 2:09:17, time: 0.184, data_time: 0.007, memory: 52403, decode.loss_ce: 0.2024, decode.acc_seg: 91.6826, loss: 0.2024 +2023-03-04 14:13:58,739 - mmseg - INFO - Iter [41600/80000] lr: 9.375e-06, eta: 2:09:05, time: 0.183, data_time: 0.007, memory: 52403, decode.loss_ce: 0.1928, decode.acc_seg: 91.9691, loss: 0.1928 +2023-03-04 14:14:08,027 - mmseg - INFO - Iter [41650/80000] lr: 9.375e-06, eta: 2:08:54, time: 0.186, data_time: 0.007, memory: 52403, decode.loss_ce: 0.2124, decode.acc_seg: 91.3346, loss: 0.2124 +2023-03-04 14:14:16,880 - mmseg - INFO - Iter [41700/80000] lr: 9.375e-06, eta: 2:08:43, time: 0.177, data_time: 0.007, memory: 52403, decode.loss_ce: 0.2003, decode.acc_seg: 91.8350, loss: 0.2003 +2023-03-04 14:14:26,111 - mmseg - INFO - Iter [41750/80000] lr: 9.375e-06, eta: 2:08:32, time: 0.185, data_time: 0.007, memory: 52403, decode.loss_ce: 0.1991, decode.acc_seg: 91.7689, loss: 0.1991 +2023-03-04 14:14:35,344 - mmseg - INFO - Iter [41800/80000] lr: 9.375e-06, eta: 2:08:21, time: 0.184, data_time: 0.006, memory: 52403, decode.loss_ce: 0.1926, decode.acc_seg: 92.0462, loss: 0.1926 +2023-03-04 14:14:44,112 - mmseg - INFO - Iter [41850/80000] lr: 9.375e-06, eta: 2:08:09, time: 0.176, data_time: 0.007, memory: 52403, decode.loss_ce: 0.1977, decode.acc_seg: 91.9558, loss: 0.1977 +2023-03-04 14:14:52,794 - mmseg - INFO - Iter [41900/80000] lr: 9.375e-06, eta: 2:07:58, time: 0.174, data_time: 0.007, memory: 52403, decode.loss_ce: 0.2015, decode.acc_seg: 91.8806, loss: 0.2015 +2023-03-04 14:15:01,590 - mmseg - INFO - Iter [41950/80000] lr: 9.375e-06, eta: 2:07:46, time: 0.176, data_time: 0.007, memory: 52403, decode.loss_ce: 0.1940, decode.acc_seg: 91.9637, loss: 0.1940 +2023-03-04 14:15:10,639 - mmseg - INFO - Exp name: ablation_segformer_mit_b2_segformer_head_unet_fc_single_step_ade_pretrained_freeze_embed_80k_ade20k151_mask.py +2023-03-04 14:15:10,639 - mmseg - INFO - Iter [42000/80000] lr: 9.375e-06, eta: 2:07:35, time: 0.181, data_time: 0.007, memory: 52403, decode.loss_ce: 0.1918, decode.acc_seg: 92.1164, loss: 0.1918 +2023-03-04 14:15:19,658 - mmseg - INFO - Iter [42050/80000] lr: 9.375e-06, eta: 2:07:24, time: 0.180, data_time: 0.007, memory: 52403, decode.loss_ce: 0.1927, decode.acc_seg: 92.0280, loss: 0.1927 +2023-03-04 14:15:30,916 - mmseg - INFO - Iter [42100/80000] lr: 9.375e-06, eta: 2:07:15, time: 0.225, data_time: 0.054, memory: 52403, decode.loss_ce: 0.2023, decode.acc_seg: 91.7733, loss: 0.2023 +2023-03-04 14:15:39,963 - mmseg - INFO - Iter [42150/80000] lr: 9.375e-06, eta: 2:07:04, time: 0.181, data_time: 0.007, memory: 52403, decode.loss_ce: 0.1965, decode.acc_seg: 91.8926, loss: 0.1965 +2023-03-04 14:15:49,193 - mmseg - INFO - Iter [42200/80000] lr: 9.375e-06, eta: 2:06:53, time: 0.184, data_time: 0.008, memory: 52403, decode.loss_ce: 0.1943, decode.acc_seg: 92.0497, loss: 0.1943 +2023-03-04 14:15:58,558 - mmseg - INFO - Iter [42250/80000] lr: 9.375e-06, eta: 2:06:42, time: 0.187, data_time: 0.007, memory: 52403, decode.loss_ce: 0.2015, decode.acc_seg: 91.7386, loss: 0.2015 +2023-03-04 14:16:07,477 - mmseg - INFO - Iter [42300/80000] lr: 9.375e-06, eta: 2:06:30, time: 0.179, data_time: 0.007, memory: 52403, decode.loss_ce: 0.1952, decode.acc_seg: 91.8288, loss: 0.1952 +2023-03-04 14:16:16,323 - mmseg - INFO - Iter [42350/80000] lr: 9.375e-06, eta: 2:06:19, time: 0.177, data_time: 0.007, memory: 52403, decode.loss_ce: 0.2036, decode.acc_seg: 91.8177, loss: 0.2036 +2023-03-04 14:16:25,549 - mmseg - INFO - Iter [42400/80000] lr: 9.375e-06, eta: 2:06:08, time: 0.185, data_time: 0.007, memory: 52403, decode.loss_ce: 0.2048, decode.acc_seg: 91.6525, loss: 0.2048 +2023-03-04 14:16:34,793 - mmseg - INFO - Iter [42450/80000] lr: 9.375e-06, eta: 2:05:57, time: 0.185, data_time: 0.008, memory: 52403, decode.loss_ce: 0.2056, decode.acc_seg: 91.6151, loss: 0.2056 +2023-03-04 14:16:43,936 - mmseg - INFO - Iter [42500/80000] lr: 9.375e-06, eta: 2:05:46, time: 0.183, data_time: 0.007, memory: 52403, decode.loss_ce: 0.1996, decode.acc_seg: 91.7524, loss: 0.1996 +2023-03-04 14:16:53,225 - mmseg - INFO - Iter 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time: 0.181, data_time: 0.007, memory: 52403, decode.loss_ce: 0.1984, decode.acc_seg: 91.8325, loss: 0.1984 +2023-03-04 14:18:25,617 - mmseg - INFO - Iter [43050/80000] lr: 9.375e-06, eta: 2:03:46, time: 0.181, data_time: 0.007, memory: 52403, decode.loss_ce: 0.2004, decode.acc_seg: 91.8311, loss: 0.2004 +2023-03-04 14:18:34,402 - mmseg - INFO - Iter [43100/80000] lr: 9.375e-06, eta: 2:03:34, time: 0.176, data_time: 0.007, memory: 52403, decode.loss_ce: 0.1937, decode.acc_seg: 92.0507, loss: 0.1937 +2023-03-04 14:18:43,734 - mmseg - INFO - Iter [43150/80000] lr: 9.375e-06, eta: 2:03:24, time: 0.186, data_time: 0.007, memory: 52403, decode.loss_ce: 0.2050, decode.acc_seg: 91.5352, loss: 0.2050 +2023-03-04 14:18:52,720 - mmseg - INFO - Iter [43200/80000] lr: 9.375e-06, eta: 2:03:13, time: 0.180, data_time: 0.007, memory: 52403, decode.loss_ce: 0.2014, decode.acc_seg: 91.7564, loss: 0.2014 +2023-03-04 14:19:01,436 - mmseg - INFO - Iter [43250/80000] lr: 9.375e-06, eta: 2:03:01, time: 0.174, data_time: 0.007, memory: 52403, decode.loss_ce: 0.2039, decode.acc_seg: 91.5227, loss: 0.2039 +2023-03-04 14:19:10,653 - mmseg - INFO - Iter [43300/80000] lr: 9.375e-06, eta: 2:02:50, time: 0.184, data_time: 0.007, memory: 52403, decode.loss_ce: 0.2016, decode.acc_seg: 91.7572, loss: 0.2016 +2023-03-04 14:19:22,402 - mmseg - INFO - Iter [43350/80000] lr: 9.375e-06, eta: 2:02:42, time: 0.235, data_time: 0.053, memory: 52403, decode.loss_ce: 0.2044, decode.acc_seg: 91.6478, loss: 0.2044 +2023-03-04 14:19:31,161 - mmseg - INFO - Iter [43400/80000] lr: 9.375e-06, eta: 2:02:31, time: 0.175, data_time: 0.007, memory: 52403, decode.loss_ce: 0.2067, decode.acc_seg: 91.6380, loss: 0.2067 +2023-03-04 14:19:39,790 - mmseg - INFO - Iter [43450/80000] lr: 9.375e-06, eta: 2:02:19, time: 0.173, data_time: 0.007, memory: 52403, decode.loss_ce: 0.1965, decode.acc_seg: 91.9251, loss: 0.1965 +2023-03-04 14:19:48,578 - mmseg - INFO - Iter [43500/80000] lr: 9.375e-06, eta: 2:02:08, time: 0.176, data_time: 0.007, memory: 52403, decode.loss_ce: 0.1981, decode.acc_seg: 91.8797, loss: 0.1981 +2023-03-04 14:19:57,622 - mmseg - INFO - Iter [43550/80000] lr: 9.375e-06, eta: 2:01:57, time: 0.181, data_time: 0.007, memory: 52403, decode.loss_ce: 0.2053, decode.acc_seg: 91.6246, loss: 0.2053 +2023-03-04 14:20:06,799 - mmseg - INFO - Iter [43600/80000] lr: 9.375e-06, eta: 2:01:46, time: 0.184, data_time: 0.007, memory: 52403, decode.loss_ce: 0.1985, decode.acc_seg: 91.8407, loss: 0.1985 +2023-03-04 14:20:15,493 - mmseg - INFO - Iter [43650/80000] lr: 9.375e-06, eta: 2:01:34, time: 0.174, data_time: 0.007, memory: 52403, decode.loss_ce: 0.2012, decode.acc_seg: 91.8497, loss: 0.2012 +2023-03-04 14:20:24,506 - mmseg - INFO - Iter [43700/80000] lr: 9.375e-06, eta: 2:01:23, time: 0.180, data_time: 0.007, memory: 52403, decode.loss_ce: 0.2045, decode.acc_seg: 91.5789, loss: 0.2045 +2023-03-04 14:20:33,290 - mmseg - INFO - Iter [43750/80000] lr: 9.375e-06, eta: 2:01:12, time: 0.176, data_time: 0.007, memory: 52403, decode.loss_ce: 0.2026, decode.acc_seg: 91.6751, loss: 0.2026 +2023-03-04 14:20:42,182 - mmseg - INFO - Iter [43800/80000] lr: 9.375e-06, eta: 2:01:01, time: 0.178, data_time: 0.007, memory: 52403, decode.loss_ce: 0.2061, decode.acc_seg: 91.6782, loss: 0.2061 +2023-03-04 14:20:51,393 - mmseg - INFO - Iter [43850/80000] lr: 9.375e-06, eta: 2:00:50, time: 0.184, data_time: 0.007, memory: 52403, decode.loss_ce: 0.1908, decode.acc_seg: 92.0455, loss: 0.1908 +2023-03-04 14:21:00,293 - mmseg - INFO - Iter [43900/80000] lr: 9.375e-06, eta: 2:00:39, time: 0.178, data_time: 0.007, memory: 52403, decode.loss_ce: 0.2039, decode.acc_seg: 91.6930, loss: 0.2039 +2023-03-04 14:21:09,551 - mmseg - INFO - Iter [43950/80000] lr: 9.375e-06, eta: 2:00:28, time: 0.185, data_time: 0.007, memory: 52403, decode.loss_ce: 0.1997, decode.acc_seg: 91.8152, loss: 0.1997 +2023-03-04 14:21:20,818 - mmseg - INFO - Exp name: ablation_segformer_mit_b2_segformer_head_unet_fc_single_step_ade_pretrained_freeze_embed_80k_ade20k151_mask.py +2023-03-04 14:21:20,819 - mmseg - INFO - Iter [44000/80000] lr: 9.375e-06, eta: 2:00:19, time: 0.225, data_time: 0.054, memory: 52403, decode.loss_ce: 0.2040, decode.acc_seg: 91.6906, loss: 0.2040 +2023-03-04 14:21:29,525 - mmseg - INFO - Iter [44050/80000] lr: 9.375e-06, eta: 2:00:08, time: 0.174, data_time: 0.007, memory: 52403, decode.loss_ce: 0.1952, decode.acc_seg: 91.8502, loss: 0.1952 +2023-03-04 14:21:38,716 - mmseg - INFO - Iter [44100/80000] lr: 9.375e-06, eta: 1:59:57, time: 0.184, data_time: 0.007, memory: 52403, decode.loss_ce: 0.2126, decode.acc_seg: 91.4421, loss: 0.2126 +2023-03-04 14:21:47,618 - mmseg - INFO - Iter [44150/80000] lr: 9.375e-06, eta: 1:59:46, time: 0.178, data_time: 0.007, memory: 52403, decode.loss_ce: 0.1894, decode.acc_seg: 92.1379, loss: 0.1894 +2023-03-04 14:21:56,610 - mmseg - INFO - Iter [44200/80000] lr: 9.375e-06, eta: 1:59:35, time: 0.180, data_time: 0.007, memory: 52403, decode.loss_ce: 0.1898, decode.acc_seg: 92.2049, loss: 0.1898 +2023-03-04 14:22:05,578 - mmseg - INFO - Iter [44250/80000] lr: 9.375e-06, eta: 1:59:24, time: 0.179, data_time: 0.007, memory: 52403, decode.loss_ce: 0.1912, decode.acc_seg: 92.2401, loss: 0.1912 +2023-03-04 14:22:14,573 - mmseg - INFO - Iter [44300/80000] lr: 9.375e-06, eta: 1:59:13, time: 0.180, data_time: 0.007, memory: 52403, decode.loss_ce: 0.2011, decode.acc_seg: 91.8629, loss: 0.2011 +2023-03-04 14:22:23,480 - mmseg - INFO - Iter [44350/80000] lr: 9.375e-06, eta: 1:59:02, time: 0.178, data_time: 0.007, memory: 52403, decode.loss_ce: 0.2001, decode.acc_seg: 91.7744, loss: 0.2001 +2023-03-04 14:22:32,481 - mmseg - INFO - Iter [44400/80000] lr: 9.375e-06, eta: 1:58:51, time: 0.180, data_time: 0.007, memory: 52403, decode.loss_ce: 0.1995, decode.acc_seg: 91.6557, loss: 0.1995 +2023-03-04 14:22:41,315 - mmseg - INFO - Iter [44450/80000] lr: 9.375e-06, eta: 1:58:39, time: 0.177, data_time: 0.007, memory: 52403, decode.loss_ce: 0.1986, decode.acc_seg: 91.9891, loss: 0.1986 +2023-03-04 14:22:50,198 - mmseg - INFO - Iter [44500/80000] lr: 9.375e-06, eta: 1:58:28, time: 0.178, data_time: 0.007, memory: 52403, decode.loss_ce: 0.2002, decode.acc_seg: 91.7159, loss: 0.2002 +2023-03-04 14:22:59,059 - mmseg - INFO - Iter [44550/80000] lr: 9.375e-06, eta: 1:58:17, time: 0.177, data_time: 0.007, memory: 52403, decode.loss_ce: 0.2040, decode.acc_seg: 91.6806, loss: 0.2040 +2023-03-04 14:23:11,243 - mmseg - INFO - Iter [44600/80000] lr: 9.375e-06, eta: 1:58:09, time: 0.244, data_time: 0.055, memory: 52403, decode.loss_ce: 0.1959, decode.acc_seg: 91.8602, loss: 0.1959 +2023-03-04 14:23:20,349 - mmseg - INFO - Iter [44650/80000] lr: 9.375e-06, eta: 1:57:58, time: 0.182, data_time: 0.007, memory: 52403, decode.loss_ce: 0.1950, decode.acc_seg: 91.9674, loss: 0.1950 +2023-03-04 14:23:29,215 - mmseg - INFO - Iter [44700/80000] lr: 9.375e-06, eta: 1:57:47, time: 0.178, data_time: 0.007, memory: 52403, decode.loss_ce: 0.2037, decode.acc_seg: 91.5511, loss: 0.2037 +2023-03-04 14:23:38,199 - mmseg - INFO - Iter [44750/80000] lr: 9.375e-06, eta: 1:57:36, time: 0.180, data_time: 0.007, memory: 52403, decode.loss_ce: 0.2049, decode.acc_seg: 91.6349, loss: 0.2049 +2023-03-04 14:23:47,777 - mmseg - INFO - Iter [44800/80000] lr: 9.375e-06, eta: 1:57:26, time: 0.191, data_time: 0.007, memory: 52403, decode.loss_ce: 0.1879, decode.acc_seg: 92.2193, loss: 0.1879 +2023-03-04 14:23:57,182 - mmseg - INFO - Iter [44850/80000] lr: 9.375e-06, eta: 1:57:15, time: 0.188, data_time: 0.007, memory: 52403, decode.loss_ce: 0.1966, decode.acc_seg: 91.8711, loss: 0.1966 +2023-03-04 14:24:06,090 - mmseg - INFO - Iter [44900/80000] lr: 9.375e-06, eta: 1:57:04, time: 0.178, data_time: 0.007, memory: 52403, decode.loss_ce: 0.2053, decode.acc_seg: 91.6667, loss: 0.2053 +2023-03-04 14:24:15,305 - mmseg - INFO - Iter [44950/80000] lr: 9.375e-06, eta: 1:56:53, time: 0.184, data_time: 0.007, memory: 52403, decode.loss_ce: 0.1975, decode.acc_seg: 91.9054, loss: 0.1975 +2023-03-04 14:24:24,316 - mmseg - INFO - Exp name: ablation_segformer_mit_b2_segformer_head_unet_fc_single_step_ade_pretrained_freeze_embed_80k_ade20k151_mask.py +2023-03-04 14:24:24,316 - mmseg - INFO - Iter [45000/80000] lr: 9.375e-06, eta: 1:56:43, time: 0.180, data_time: 0.007, memory: 52403, decode.loss_ce: 0.2033, decode.acc_seg: 91.7066, loss: 0.2033 +2023-03-04 14:24:32,917 - mmseg - INFO - Iter [45050/80000] lr: 9.375e-06, eta: 1:56:31, time: 0.172, data_time: 0.007, memory: 52403, decode.loss_ce: 0.1990, decode.acc_seg: 91.7927, loss: 0.1990 +2023-03-04 14:24:42,180 - mmseg - INFO - Iter [45100/80000] lr: 9.375e-06, eta: 1:56:20, time: 0.185, data_time: 0.007, memory: 52403, decode.loss_ce: 0.2085, decode.acc_seg: 91.5371, loss: 0.2085 +2023-03-04 14:24:51,177 - mmseg - INFO - Iter [45150/80000] lr: 9.375e-06, eta: 1:56:10, time: 0.180, data_time: 0.007, memory: 52403, decode.loss_ce: 0.2032, decode.acc_seg: 91.6593, loss: 0.2032 +2023-03-04 14:24:59,954 - mmseg - INFO - Iter [45200/80000] lr: 9.375e-06, eta: 1:55:58, time: 0.176, data_time: 0.007, memory: 52403, decode.loss_ce: 0.1980, decode.acc_seg: 92.0244, loss: 0.1980 +2023-03-04 14:25:11,300 - mmseg - INFO - Iter [45250/80000] lr: 9.375e-06, eta: 1:55:50, time: 0.227, data_time: 0.058, memory: 52403, decode.loss_ce: 0.1961, decode.acc_seg: 91.8617, loss: 0.1961 +2023-03-04 14:25:20,333 - mmseg - INFO - Iter [45300/80000] lr: 9.375e-06, eta: 1:55:39, time: 0.180, data_time: 0.007, memory: 52403, decode.loss_ce: 0.1964, decode.acc_seg: 91.9668, loss: 0.1964 +2023-03-04 14:25:29,574 - mmseg - INFO - Iter [45350/80000] lr: 9.375e-06, eta: 1:55:28, time: 0.185, data_time: 0.007, memory: 52403, decode.loss_ce: 0.2020, decode.acc_seg: 91.7044, loss: 0.2020 +2023-03-04 14:25:38,523 - mmseg - INFO - Iter [45400/80000] lr: 9.375e-06, eta: 1:55:17, time: 0.179, data_time: 0.007, memory: 52403, decode.loss_ce: 0.2127, decode.acc_seg: 91.3074, loss: 0.2127 +2023-03-04 14:25:47,516 - mmseg - INFO - Iter [45450/80000] lr: 9.375e-06, eta: 1:55:06, time: 0.180, data_time: 0.007, memory: 52403, decode.loss_ce: 0.2013, decode.acc_seg: 91.7124, loss: 0.2013 +2023-03-04 14:25:56,383 - mmseg - INFO - Iter [45500/80000] lr: 9.375e-06, eta: 1:54:55, time: 0.177, data_time: 0.007, memory: 52403, decode.loss_ce: 0.1858, decode.acc_seg: 92.3197, loss: 0.1858 +2023-03-04 14:26:05,436 - mmseg - INFO - Iter [45550/80000] lr: 9.375e-06, eta: 1:54:44, time: 0.181, data_time: 0.007, memory: 52403, decode.loss_ce: 0.2043, decode.acc_seg: 91.5628, loss: 0.2043 +2023-03-04 14:26:14,461 - mmseg - INFO - Iter [45600/80000] lr: 9.375e-06, eta: 1:54:33, time: 0.180, data_time: 0.007, memory: 52403, decode.loss_ce: 0.1983, decode.acc_seg: 91.7577, loss: 0.1983 +2023-03-04 14:26:23,390 - mmseg - INFO - Iter [45650/80000] lr: 9.375e-06, eta: 1:54:22, time: 0.179, data_time: 0.007, memory: 52403, decode.loss_ce: 0.2043, decode.acc_seg: 91.6949, loss: 0.2043 +2023-03-04 14:26:32,396 - mmseg - INFO - Iter [45700/80000] lr: 9.375e-06, eta: 1:54:12, time: 0.180, data_time: 0.007, memory: 52403, decode.loss_ce: 0.1980, decode.acc_seg: 91.9044, loss: 0.1980 +2023-03-04 14:26:41,290 - mmseg - INFO - Iter [45750/80000] lr: 9.375e-06, eta: 1:54:01, time: 0.178, data_time: 0.007, memory: 52403, decode.loss_ce: 0.2015, decode.acc_seg: 91.8702, loss: 0.2015 +2023-03-04 14:26:50,653 - mmseg - INFO - Iter [45800/80000] lr: 9.375e-06, eta: 1:53:50, time: 0.187, data_time: 0.007, memory: 52403, decode.loss_ce: 0.2009, decode.acc_seg: 91.8453, loss: 0.2009 +2023-03-04 14:26:59,532 - mmseg - INFO - Iter [45850/80000] lr: 9.375e-06, eta: 1:53:39, time: 0.178, data_time: 0.007, memory: 52403, decode.loss_ce: 0.1908, decode.acc_seg: 91.9831, loss: 0.1908 +2023-03-04 14:27:10,924 - mmseg - INFO - Iter [45900/80000] lr: 9.375e-06, eta: 1:53:30, time: 0.228, data_time: 0.053, memory: 52403, decode.loss_ce: 0.2028, decode.acc_seg: 91.6093, loss: 0.2028 +2023-03-04 14:27:19,912 - mmseg - INFO - Iter [45950/80000] lr: 9.375e-06, eta: 1:53:19, time: 0.180, data_time: 0.007, memory: 52403, decode.loss_ce: 0.1948, decode.acc_seg: 91.9024, loss: 0.1948 +2023-03-04 14:27:28,571 - mmseg - INFO - Exp name: ablation_segformer_mit_b2_segformer_head_unet_fc_single_step_ade_pretrained_freeze_embed_80k_ade20k151_mask.py +2023-03-04 14:27:28,571 - mmseg - INFO - Iter [46000/80000] lr: 9.375e-06, eta: 1:53:08, time: 0.173, data_time: 0.007, memory: 52403, decode.loss_ce: 0.1857, decode.acc_seg: 92.2916, loss: 0.1857 +2023-03-04 14:27:37,672 - mmseg - INFO - Iter [46050/80000] lr: 9.375e-06, eta: 1:52:57, time: 0.182, data_time: 0.007, memory: 52403, decode.loss_ce: 0.2006, decode.acc_seg: 91.7652, loss: 0.2006 +2023-03-04 14:27:46,549 - mmseg - INFO - Iter [46100/80000] lr: 9.375e-06, eta: 1:52:47, time: 0.178, data_time: 0.008, memory: 52403, decode.loss_ce: 0.2043, decode.acc_seg: 91.5340, loss: 0.2043 +2023-03-04 14:27:55,452 - mmseg - INFO - Iter [46150/80000] lr: 9.375e-06, eta: 1:52:36, time: 0.178, data_time: 0.007, memory: 52403, decode.loss_ce: 0.1965, decode.acc_seg: 91.9124, loss: 0.1965 +2023-03-04 14:28:04,260 - mmseg - INFO - Iter [46200/80000] lr: 9.375e-06, eta: 1:52:25, time: 0.176, data_time: 0.007, memory: 52403, decode.loss_ce: 0.1985, decode.acc_seg: 91.6601, loss: 0.1985 +2023-03-04 14:28:13,066 - mmseg - INFO - Iter [46250/80000] lr: 9.375e-06, eta: 1:52:14, time: 0.176, data_time: 0.007, memory: 52403, decode.loss_ce: 0.2027, decode.acc_seg: 91.7760, loss: 0.2027 +2023-03-04 14:28:21,932 - mmseg - INFO - Iter [46300/80000] lr: 9.375e-06, eta: 1:52:03, time: 0.177, data_time: 0.007, memory: 52403, decode.loss_ce: 0.1977, decode.acc_seg: 91.9250, loss: 0.1977 +2023-03-04 14:28:31,065 - mmseg - INFO - Iter [46350/80000] lr: 9.375e-06, eta: 1:51:52, time: 0.183, data_time: 0.007, memory: 52403, decode.loss_ce: 0.1945, decode.acc_seg: 92.1076, loss: 0.1945 +2023-03-04 14:28:40,058 - mmseg - INFO - Iter [46400/80000] lr: 9.375e-06, eta: 1:51:41, time: 0.180, data_time: 0.007, memory: 52403, decode.loss_ce: 0.1946, decode.acc_seg: 91.8623, loss: 0.1946 +2023-03-04 14:28:49,128 - mmseg - INFO - Iter [46450/80000] lr: 9.375e-06, eta: 1:51:30, time: 0.181, data_time: 0.007, memory: 52403, decode.loss_ce: 0.2004, decode.acc_seg: 91.7621, loss: 0.2004 +2023-03-04 14:29:00,912 - mmseg - INFO - Iter [46500/80000] lr: 9.375e-06, eta: 1:51:22, time: 0.236, data_time: 0.053, memory: 52403, decode.loss_ce: 0.2007, decode.acc_seg: 91.8739, loss: 0.2007 +2023-03-04 14:29:09,755 - mmseg - INFO - Iter [46550/80000] lr: 9.375e-06, eta: 1:51:11, time: 0.177, data_time: 0.007, memory: 52403, decode.loss_ce: 0.1956, decode.acc_seg: 91.8936, loss: 0.1956 +2023-03-04 14:29:18,750 - mmseg - INFO - Iter [46600/80000] lr: 9.375e-06, eta: 1:51:00, time: 0.180, data_time: 0.007, memory: 52403, decode.loss_ce: 0.1906, decode.acc_seg: 92.0005, loss: 0.1906 +2023-03-04 14:29:27,688 - mmseg - INFO - Iter [46650/80000] lr: 9.375e-06, eta: 1:50:49, time: 0.179, data_time: 0.007, memory: 52403, decode.loss_ce: 0.2008, decode.acc_seg: 91.7401, loss: 0.2008 +2023-03-04 14:29:36,446 - mmseg - INFO - Iter [46700/80000] lr: 9.375e-06, eta: 1:50:38, time: 0.175, data_time: 0.007, memory: 52403, decode.loss_ce: 0.2058, decode.acc_seg: 91.5562, loss: 0.2058 +2023-03-04 14:29:45,005 - mmseg - INFO - Iter [46750/80000] lr: 9.375e-06, eta: 1:50:27, time: 0.171, data_time: 0.007, memory: 52403, decode.loss_ce: 0.1976, decode.acc_seg: 91.9283, loss: 0.1976 +2023-03-04 14:29:54,532 - mmseg - INFO - Iter [46800/80000] lr: 9.375e-06, eta: 1:50:17, time: 0.190, data_time: 0.007, memory: 52403, decode.loss_ce: 0.2087, decode.acc_seg: 91.4822, loss: 0.2087 +2023-03-04 14:30:03,676 - mmseg - INFO - Iter [46850/80000] lr: 9.375e-06, eta: 1:50:06, time: 0.183, data_time: 0.007, memory: 52403, decode.loss_ce: 0.2093, decode.acc_seg: 91.5076, loss: 0.2093 +2023-03-04 14:30:12,625 - mmseg - INFO - Iter [46900/80000] lr: 9.375e-06, eta: 1:49:55, time: 0.179, data_time: 0.007, memory: 52403, decode.loss_ce: 0.1900, decode.acc_seg: 92.0667, loss: 0.1900 +2023-03-04 14:30:21,771 - mmseg - INFO - Iter [46950/80000] lr: 9.375e-06, eta: 1:49:45, time: 0.183, data_time: 0.007, memory: 52403, decode.loss_ce: 0.1945, decode.acc_seg: 92.1300, loss: 0.1945 +2023-03-04 14:30:30,437 - mmseg - INFO - Exp name: ablation_segformer_mit_b2_segformer_head_unet_fc_single_step_ade_pretrained_freeze_embed_80k_ade20k151_mask.py +2023-03-04 14:30:30,438 - mmseg - INFO - Iter [47000/80000] lr: 9.375e-06, eta: 1:49:34, time: 0.173, data_time: 0.007, memory: 52403, decode.loss_ce: 0.1929, decode.acc_seg: 91.9358, loss: 0.1929 +2023-03-04 14:30:39,403 - mmseg - INFO - Iter [47050/80000] lr: 9.375e-06, eta: 1:49:23, time: 0.179, data_time: 0.007, memory: 52403, decode.loss_ce: 0.1923, decode.acc_seg: 91.9589, loss: 0.1923 +2023-03-04 14:30:48,039 - mmseg - INFO - Iter [47100/80000] lr: 9.375e-06, eta: 1:49:12, time: 0.173, data_time: 0.007, memory: 52403, decode.loss_ce: 0.2015, decode.acc_seg: 91.7538, loss: 0.2015 +2023-03-04 14:30:59,390 - mmseg - INFO - Iter [47150/80000] lr: 9.375e-06, eta: 1:49:03, time: 0.227, data_time: 0.052, memory: 52403, decode.loss_ce: 0.2025, decode.acc_seg: 91.5834, loss: 0.2025 +2023-03-04 14:31:08,182 - mmseg - INFO - Iter [47200/80000] lr: 9.375e-06, eta: 1:48:52, time: 0.176, data_time: 0.007, memory: 52403, decode.loss_ce: 0.1993, decode.acc_seg: 91.7241, loss: 0.1993 +2023-03-04 14:31:16,976 - mmseg - INFO - Iter [47250/80000] lr: 9.375e-06, eta: 1:48:41, time: 0.176, data_time: 0.007, memory: 52403, decode.loss_ce: 0.2062, decode.acc_seg: 91.5716, loss: 0.2062 +2023-03-04 14:31:26,041 - mmseg - INFO - Iter [47300/80000] lr: 9.375e-06, eta: 1:48:30, time: 0.181, data_time: 0.007, memory: 52403, decode.loss_ce: 0.1931, decode.acc_seg: 92.1072, loss: 0.1931 +2023-03-04 14:31:34,936 - mmseg - INFO - Iter [47350/80000] lr: 9.375e-06, eta: 1:48:19, time: 0.178, data_time: 0.007, memory: 52403, decode.loss_ce: 0.2119, decode.acc_seg: 91.4777, loss: 0.2119 +2023-03-04 14:31:43,953 - mmseg - INFO - Iter [47400/80000] lr: 9.375e-06, eta: 1:48:09, time: 0.180, data_time: 0.007, memory: 52403, decode.loss_ce: 0.1981, decode.acc_seg: 91.9129, loss: 0.1981 +2023-03-04 14:31:52,805 - mmseg - INFO - Iter [47450/80000] lr: 9.375e-06, eta: 1:47:58, time: 0.177, data_time: 0.007, memory: 52403, decode.loss_ce: 0.1935, decode.acc_seg: 92.0715, loss: 0.1935 +2023-03-04 14:32:01,635 - mmseg - INFO - Iter [47500/80000] lr: 9.375e-06, eta: 1:47:47, time: 0.177, data_time: 0.007, memory: 52403, decode.loss_ce: 0.1999, decode.acc_seg: 91.7999, loss: 0.1999 +2023-03-04 14:32:10,305 - mmseg - INFO - Iter [47550/80000] lr: 9.375e-06, eta: 1:47:36, time: 0.173, data_time: 0.007, memory: 52403, decode.loss_ce: 0.2070, decode.acc_seg: 91.4559, loss: 0.2070 +2023-03-04 14:32:19,459 - mmseg - INFO - Iter [47600/80000] lr: 9.375e-06, eta: 1:47:25, time: 0.183, data_time: 0.007, memory: 52403, decode.loss_ce: 0.2010, decode.acc_seg: 91.8394, loss: 0.2010 +2023-03-04 14:32:28,401 - mmseg - INFO - Iter [47650/80000] lr: 9.375e-06, eta: 1:47:15, time: 0.179, data_time: 0.007, memory: 52403, decode.loss_ce: 0.2023, decode.acc_seg: 91.6425, loss: 0.2023 +2023-03-04 14:32:37,161 - mmseg - INFO - Iter [47700/80000] lr: 9.375e-06, eta: 1:47:04, time: 0.175, data_time: 0.007, memory: 52403, decode.loss_ce: 0.1964, decode.acc_seg: 92.0247, loss: 0.1964 +2023-03-04 14:32:46,031 - mmseg - INFO - Iter [47750/80000] lr: 9.375e-06, eta: 1:46:53, time: 0.177, data_time: 0.007, memory: 52403, decode.loss_ce: 0.2010, decode.acc_seg: 91.5997, loss: 0.2010 +2023-03-04 14:32:58,684 - mmseg - INFO - Iter [47800/80000] lr: 9.375e-06, eta: 1:46:45, time: 0.253, data_time: 0.055, memory: 52403, decode.loss_ce: 0.1972, decode.acc_seg: 91.7986, loss: 0.1972 +2023-03-04 14:33:08,060 - mmseg - INFO - Iter [47850/80000] lr: 9.375e-06, eta: 1:46:35, time: 0.188, data_time: 0.007, memory: 52403, decode.loss_ce: 0.1968, decode.acc_seg: 91.9581, loss: 0.1968 +2023-03-04 14:33:17,316 - mmseg - INFO - Iter [47900/80000] lr: 9.375e-06, eta: 1:46:24, time: 0.185, data_time: 0.007, memory: 52403, decode.loss_ce: 0.1914, decode.acc_seg: 92.1371, loss: 0.1914 +2023-03-04 14:33:26,078 - mmseg - INFO - Iter [47950/80000] lr: 9.375e-06, eta: 1:46:13, time: 0.175, data_time: 0.007, memory: 52403, decode.loss_ce: 0.1965, decode.acc_seg: 91.9139, loss: 0.1965 +2023-03-04 14:33:34,818 - mmseg - INFO - Saving checkpoint at 48000 iterations +2023-03-04 14:33:35,565 - mmseg - INFO - Exp name: ablation_segformer_mit_b2_segformer_head_unet_fc_single_step_ade_pretrained_freeze_embed_80k_ade20k151_mask.py +2023-03-04 14:33:35,565 - mmseg - INFO - Iter [48000/80000] lr: 9.375e-06, eta: 1:46:03, time: 0.190, data_time: 0.007, memory: 52403, decode.loss_ce: 0.2036, decode.acc_seg: 91.6745, loss: 0.2036 +2023-03-04 14:33:51,347 - mmseg - INFO - per class results: +2023-03-04 14:33:51,353 - mmseg - INFO - ++---------------------+-------+-------+ +| Class | IoU | Acc | ++---------------------+-------+-------+ +| background | nan | nan | +| wall | 77.12 | 89.15 | +| building | 81.45 | 91.82 | +| sky | 94.39 | 97.27 | +| floor | 81.33 | 90.99 | +| tree | 73.8 | 87.87 | +| ceiling | 85.1 | 93.1 | +| road | 81.83 | 90.18 | +| bed | 87.2 | 95.34 | +| windowpane | 59.93 | 77.97 | +| grass | 67.26 | 82.87 | +| cabinet | 59.18 | 71.19 | +| sidewalk | 63.58 | 78.91 | +| person | 79.02 | 92.08 | +| earth | 35.87 | 49.29 | +| door | 44.71 | 57.75 | +| table | 59.37 | 76.63 | +| mountain | 57.87 | 73.27 | +| plant | 49.3 | 61.19 | +| curtain | 73.91 | 84.07 | +| chair | 55.62 | 68.73 | +| car | 80.93 | 92.52 | +| water | 57.24 | 75.26 | +| painting | 70.38 | 84.73 | +| sofa | 63.12 | 82.15 | +| shelf | 42.79 | 60.6 | +| house | 41.04 | 54.56 | +| sea | 59.78 | 76.69 | +| mirror | 65.13 | 74.32 | +| rug | 63.13 | 70.41 | +| field | 30.66 | 45.03 | +| armchair | 36.82 | 53.27 | +| seat | 65.95 | 82.56 | +| fence | 40.4 | 52.77 | +| desk | 44.99 | 67.9 | +| rock | 36.6 | 59.86 | +| wardrobe | 55.75 | 69.12 | +| lamp | 60.03 | 74.18 | +| bathtub | 74.45 | 82.79 | +| railing | 33.42 | 46.99 | +| cushion | 55.71 | 68.49 | +| base | 19.9 | 24.29 | +| box | 23.1 | 30.89 | +| column | 44.83 | 56.24 | +| signboard | 37.58 | 51.02 | +| chest of drawers | 36.24 | 57.35 | +| counter | 30.93 | 41.06 | +| sand | 43.7 | 60.6 | +| sink | 66.58 | 78.48 | +| skyscraper | 49.23 | 61.4 | +| fireplace | 73.21 | 84.38 | +| refrigerator | 73.79 | 85.66 | +| grandstand | 53.52 | 65.74 | +| path | 22.18 | 30.14 | +| stairs | 32.01 | 39.44 | +| runway | 66.81 | 85.61 | +| case | 47.05 | 59.29 | +| pool table | 91.43 | 94.37 | +| pillow | 61.15 | 72.87 | +| screen door | 65.88 | 71.69 | +| stairway | 22.15 | 34.75 | +| river | 12.02 | 22.37 | +| bridge | 33.08 | 37.94 | +| bookcase | 44.08 | 61.75 | +| blind | 38.19 | 43.32 | +| coffee table | 52.9 | 77.01 | +| toilet | 83.5 | 89.03 | +| flower | 37.84 | 52.49 | +| book | 44.37 | 65.08 | +| hill | 14.19 | 20.27 | +| bench | 41.88 | 55.76 | +| countertop | 53.32 | 72.02 | +| stove | 69.85 | 80.93 | +| palm | 47.96 | 69.46 | +| kitchen island | 38.06 | 55.59 | +| computer | 59.47 | 68.89 | +| swivel chair | 45.85 | 63.65 | +| boat | 68.99 | 83.84 | +| bar | 24.09 | 32.65 | +| arcade machine | 70.83 | 73.58 | +| hovel | 33.47 | 37.67 | +| bus | 78.41 | 89.99 | +| towel | 62.71 | 72.38 | +| light | 51.11 | 56.2 | +| truck | 16.45 | 21.72 | +| tower | 6.32 | 10.07 | +| chandelier | 62.83 | 76.7 | +| awning | 23.81 | 27.43 | +| streetlight | 26.27 | 36.37 | +| booth | 40.22 | 41.53 | +| television receiver | 64.38 | 76.41 | +| airplane | 59.07 | 65.74 | +| dirt track | 21.78 | 50.24 | +| apparel | 34.38 | 54.17 | +| pole | 14.56 | 18.5 | +| land | 3.6 | 5.08 | +| bannister | 12.16 | 16.95 | +| escalator | 24.09 | 25.79 | +| ottoman | 42.69 | 60.13 | +| bottle | 34.61 | 54.19 | +| buffet | 36.45 | 42.1 | +| poster | 23.42 | 34.23 | +| stage | 13.72 | 17.83 | +| van | 37.42 | 55.13 | +| ship | 77.29 | 91.39 | +| fountain | 21.66 | 22.03 | +| conveyer belt | 84.03 | 90.43 | +| canopy | 24.68 | 26.51 | +| washer | 79.64 | 82.13 | +| plaything | 20.73 | 28.84 | +| swimming pool | 69.92 | 82.59 | +| stool | 42.64 | 55.29 | +| barrel | 50.94 | 57.9 | +| basket | 25.43 | 36.66 | +| waterfall | 48.55 | 63.55 | +| tent | 94.48 | 97.56 | +| bag | 15.43 | 19.33 | +| minibike | 61.72 | 73.22 | +| cradle | 83.52 | 95.9 | +| oven | 45.44 | 66.11 | +| ball | 41.98 | 47.74 | +| food | 49.54 | 58.74 | +| step | 4.14 | 4.41 | +| tank | 50.58 | 55.44 | +| trade name | 26.62 | 29.51 | +| microwave | 72.29 | 78.07 | +| pot | 31.18 | 35.98 | +| animal | 52.92 | 60.43 | +| bicycle | 52.65 | 71.22 | +| lake | 57.33 | 62.85 | +| dishwasher | 64.41 | 76.38 | +| screen | 68.81 | 83.88 | +| blanket | 16.86 | 19.31 | +| sculpture | 54.67 | 79.25 | +| hood | 57.66 | 63.59 | +| sconce | 40.86 | 49.04 | +| vase | 36.39 | 51.79 | +| traffic light | 32.35 | 46.94 | +| tray | 6.13 | 9.3 | +| ashcan | 42.1 | 52.76 | +| fan | 57.83 | 67.9 | +| pier | 46.01 | 65.76 | +| crt screen | 8.22 | 21.39 | +| plate | 50.39 | 67.12 | +| monitor | 19.55 | 23.27 | +| bulletin board | 36.47 | 47.05 | +| shower | 1.34 | 6.78 | +| radiator | 60.26 | 68.08 | +| glass | 12.45 | 13.77 | +| clock | 34.25 | 38.97 | +| flag | 34.01 | 37.17 | ++---------------------+-------+-------+ +2023-03-04 14:33:51,353 - mmseg - INFO - Summary: +2023-03-04 14:33:51,354 - mmseg - INFO - ++-------+-------+-------+ +| aAcc | mIoU | mAcc | ++-------+-------+-------+ +| 82.51 | 47.85 | 58.83 | ++-------+-------+-------+ +2023-03-04 14:33:51,376 - mmseg - INFO - The previous best checkpoint /mnt/petrelfs/laizeqiang/mmseg-baseline/work_dirs2/ablation_segformer_mit_b2_segformer_head_unet_fc_single_step_ade_pretrained_freeze_embed_80k_ade20k151_mask/best_mIoU_iter_32000.pth was removed +2023-03-04 14:33:51,994 - mmseg - INFO - Now best checkpoint is saved as best_mIoU_iter_48000.pth. +2023-03-04 14:33:51,994 - mmseg - INFO - Best mIoU is 0.4785 at 48000 iter. +2023-03-04 14:33:51,995 - mmseg - INFO - Exp name: ablation_segformer_mit_b2_segformer_head_unet_fc_single_step_ade_pretrained_freeze_embed_80k_ade20k151_mask.py +2023-03-04 14:33:51,995 - mmseg - INFO - Iter(val) [250] aAcc: 0.8251, mIoU: 0.4785, mAcc: 0.5883, IoU.background: nan, IoU.wall: 0.7712, IoU.building: 0.8145, IoU.sky: 0.9439, IoU.floor: 0.8133, IoU.tree: 0.7380, IoU.ceiling: 0.8510, IoU.road: 0.8183, IoU.bed : 0.8720, IoU.windowpane: 0.5993, IoU.grass: 0.6726, IoU.cabinet: 0.5918, IoU.sidewalk: 0.6358, IoU.person: 0.7902, IoU.earth: 0.3587, IoU.door: 0.4471, IoU.table: 0.5937, IoU.mountain: 0.5787, IoU.plant: 0.4930, IoU.curtain: 0.7391, IoU.chair: 0.5562, IoU.car: 0.8093, IoU.water: 0.5724, IoU.painting: 0.7038, IoU.sofa: 0.6312, IoU.shelf: 0.4279, IoU.house: 0.4104, IoU.sea: 0.5978, IoU.mirror: 0.6513, IoU.rug: 0.6313, IoU.field: 0.3066, IoU.armchair: 0.3682, IoU.seat: 0.6595, IoU.fence: 0.4040, IoU.desk: 0.4499, IoU.rock: 0.3660, IoU.wardrobe: 0.5575, IoU.lamp: 0.6003, IoU.bathtub: 0.7445, IoU.railing: 0.3342, IoU.cushion: 0.5571, IoU.base: 0.1990, IoU.box: 0.2310, IoU.column: 0.4483, IoU.signboard: 0.3758, IoU.chest of drawers: 0.3624, IoU.counter: 0.3093, IoU.sand: 0.4370, IoU.sink: 0.6658, IoU.skyscraper: 0.4923, IoU.fireplace: 0.7321, IoU.refrigerator: 0.7379, IoU.grandstand: 0.5352, IoU.path: 0.2218, IoU.stairs: 0.3201, IoU.runway: 0.6681, IoU.case: 0.4705, IoU.pool table: 0.9143, IoU.pillow: 0.6115, IoU.screen door: 0.6588, IoU.stairway: 0.2215, IoU.river: 0.1202, IoU.bridge: 0.3308, IoU.bookcase: 0.4408, IoU.blind: 0.3819, IoU.coffee table: 0.5290, IoU.toilet: 0.8350, IoU.flower: 0.3784, IoU.book: 0.4437, IoU.hill: 0.1419, IoU.bench: 0.4188, IoU.countertop: 0.5332, IoU.stove: 0.6985, IoU.palm: 0.4796, IoU.kitchen island: 0.3806, IoU.computer: 0.5947, IoU.swivel chair: 0.4585, IoU.boat: 0.6899, IoU.bar: 0.2409, IoU.arcade machine: 0.7083, IoU.hovel: 0.3347, IoU.bus: 0.7841, IoU.towel: 0.6271, IoU.light: 0.5111, IoU.truck: 0.1645, IoU.tower: 0.0632, IoU.chandelier: 0.6283, IoU.awning: 0.2381, IoU.streetlight: 0.2627, IoU.booth: 0.4022, IoU.television receiver: 0.6438, IoU.airplane: 0.5907, IoU.dirt track: 0.2178, IoU.apparel: 0.3438, IoU.pole: 0.1456, IoU.land: 0.0360, IoU.bannister: 0.1216, IoU.escalator: 0.2409, IoU.ottoman: 0.4269, IoU.bottle: 0.3461, IoU.buffet: 0.3645, IoU.poster: 0.2342, IoU.stage: 0.1372, IoU.van: 0.3742, IoU.ship: 0.7729, IoU.fountain: 0.2166, IoU.conveyer belt: 0.8403, IoU.canopy: 0.2468, IoU.washer: 0.7964, IoU.plaything: 0.2073, IoU.swimming pool: 0.6992, IoU.stool: 0.4264, IoU.barrel: 0.5094, IoU.basket: 0.2543, IoU.waterfall: 0.4855, IoU.tent: 0.9448, IoU.bag: 0.1543, IoU.minibike: 0.6172, IoU.cradle: 0.8352, IoU.oven: 0.4544, IoU.ball: 0.4198, IoU.food: 0.4954, IoU.step: 0.0414, IoU.tank: 0.5058, IoU.trade name: 0.2662, IoU.microwave: 0.7229, IoU.pot: 0.3118, IoU.animal: 0.5292, IoU.bicycle: 0.5265, IoU.lake: 0.5733, IoU.dishwasher: 0.6441, IoU.screen: 0.6881, IoU.blanket: 0.1686, IoU.sculpture: 0.5467, IoU.hood: 0.5766, IoU.sconce: 0.4086, IoU.vase: 0.3639, IoU.traffic light: 0.3235, IoU.tray: 0.0613, IoU.ashcan: 0.4210, IoU.fan: 0.5783, IoU.pier: 0.4601, IoU.crt screen: 0.0822, IoU.plate: 0.5039, IoU.monitor: 0.1955, IoU.bulletin board: 0.3647, IoU.shower: 0.0134, IoU.radiator: 0.6026, IoU.glass: 0.1245, IoU.clock: 0.3425, IoU.flag: 0.3401, Acc.background: nan, Acc.wall: 0.8915, Acc.building: 0.9182, Acc.sky: 0.9727, Acc.floor: 0.9099, Acc.tree: 0.8787, Acc.ceiling: 0.9310, Acc.road: 0.9018, Acc.bed : 0.9534, Acc.windowpane: 0.7797, Acc.grass: 0.8287, Acc.cabinet: 0.7119, Acc.sidewalk: 0.7891, Acc.person: 0.9208, Acc.earth: 0.4929, Acc.door: 0.5775, Acc.table: 0.7663, Acc.mountain: 0.7327, Acc.plant: 0.6119, Acc.curtain: 0.8407, Acc.chair: 0.6873, Acc.car: 0.9252, Acc.water: 0.7526, Acc.painting: 0.8473, Acc.sofa: 0.8215, Acc.shelf: 0.6060, Acc.house: 0.5456, Acc.sea: 0.7669, Acc.mirror: 0.7432, Acc.rug: 0.7041, Acc.field: 0.4503, Acc.armchair: 0.5327, Acc.seat: 0.8256, Acc.fence: 0.5277, Acc.desk: 0.6790, Acc.rock: 0.5986, Acc.wardrobe: 0.6912, Acc.lamp: 0.7418, Acc.bathtub: 0.8279, Acc.railing: 0.4699, Acc.cushion: 0.6849, Acc.base: 0.2429, Acc.box: 0.3089, Acc.column: 0.5624, Acc.signboard: 0.5102, Acc.chest of drawers: 0.5735, Acc.counter: 0.4106, Acc.sand: 0.6060, Acc.sink: 0.7848, Acc.skyscraper: 0.6140, Acc.fireplace: 0.8438, Acc.refrigerator: 0.8566, Acc.grandstand: 0.6574, Acc.path: 0.3014, Acc.stairs: 0.3944, Acc.runway: 0.8561, Acc.case: 0.5929, Acc.pool table: 0.9437, Acc.pillow: 0.7287, Acc.screen door: 0.7169, Acc.stairway: 0.3475, Acc.river: 0.2237, Acc.bridge: 0.3794, Acc.bookcase: 0.6175, Acc.blind: 0.4332, Acc.coffee table: 0.7701, Acc.toilet: 0.8903, Acc.flower: 0.5249, Acc.book: 0.6508, Acc.hill: 0.2027, Acc.bench: 0.5576, Acc.countertop: 0.7202, Acc.stove: 0.8093, Acc.palm: 0.6946, Acc.kitchen island: 0.5559, Acc.computer: 0.6889, Acc.swivel chair: 0.6365, Acc.boat: 0.8384, Acc.bar: 0.3265, Acc.arcade machine: 0.7358, Acc.hovel: 0.3767, Acc.bus: 0.8999, Acc.towel: 0.7238, Acc.light: 0.5620, Acc.truck: 0.2172, Acc.tower: 0.1007, Acc.chandelier: 0.7670, Acc.awning: 0.2743, Acc.streetlight: 0.3637, Acc.booth: 0.4153, Acc.television receiver: 0.7641, Acc.airplane: 0.6574, Acc.dirt track: 0.5024, Acc.apparel: 0.5417, Acc.pole: 0.1850, Acc.land: 0.0508, Acc.bannister: 0.1695, Acc.escalator: 0.2579, Acc.ottoman: 0.6013, Acc.bottle: 0.5419, Acc.buffet: 0.4210, Acc.poster: 0.3423, Acc.stage: 0.1783, Acc.van: 0.5513, Acc.ship: 0.9139, Acc.fountain: 0.2203, Acc.conveyer belt: 0.9043, Acc.canopy: 0.2651, Acc.washer: 0.8213, Acc.plaything: 0.2884, Acc.swimming pool: 0.8259, Acc.stool: 0.5529, Acc.barrel: 0.5790, Acc.basket: 0.3666, Acc.waterfall: 0.6355, Acc.tent: 0.9756, Acc.bag: 0.1933, Acc.minibike: 0.7322, Acc.cradle: 0.9590, Acc.oven: 0.6611, Acc.ball: 0.4774, Acc.food: 0.5874, Acc.step: 0.0441, Acc.tank: 0.5544, Acc.trade name: 0.2951, Acc.microwave: 0.7807, Acc.pot: 0.3598, Acc.animal: 0.6043, Acc.bicycle: 0.7122, Acc.lake: 0.6285, Acc.dishwasher: 0.7638, Acc.screen: 0.8388, Acc.blanket: 0.1931, Acc.sculpture: 0.7925, Acc.hood: 0.6359, Acc.sconce: 0.4904, Acc.vase: 0.5179, Acc.traffic light: 0.4694, Acc.tray: 0.0930, Acc.ashcan: 0.5276, Acc.fan: 0.6790, Acc.pier: 0.6576, Acc.crt screen: 0.2139, Acc.plate: 0.6712, Acc.monitor: 0.2327, Acc.bulletin board: 0.4705, Acc.shower: 0.0678, Acc.radiator: 0.6808, Acc.glass: 0.1377, Acc.clock: 0.3897, Acc.flag: 0.3717 +2023-03-04 14:34:00,945 - mmseg - INFO - Iter [48050/80000] lr: 9.375e-06, eta: 1:46:05, time: 0.508, data_time: 0.336, memory: 52403, decode.loss_ce: 0.2001, decode.acc_seg: 91.7873, loss: 0.2001 +2023-03-04 14:34:09,907 - mmseg - INFO - Iter [48100/80000] lr: 9.375e-06, eta: 1:45:55, time: 0.179, data_time: 0.007, memory: 52403, decode.loss_ce: 0.2001, decode.acc_seg: 91.9189, loss: 0.2001 +2023-03-04 14:34:18,910 - mmseg - INFO - Iter [48150/80000] lr: 9.375e-06, eta: 1:45:44, time: 0.180, data_time: 0.007, memory: 52403, decode.loss_ce: 0.1956, decode.acc_seg: 91.9507, loss: 0.1956 +2023-03-04 14:34:28,057 - mmseg - INFO - Iter [48200/80000] lr: 9.375e-06, eta: 1:45:33, time: 0.183, data_time: 0.007, memory: 52403, decode.loss_ce: 0.1967, decode.acc_seg: 91.7546, loss: 0.1967 +2023-03-04 14:34:37,201 - mmseg - INFO - Iter [48250/80000] lr: 9.375e-06, eta: 1:45:23, time: 0.183, data_time: 0.008, memory: 52403, decode.loss_ce: 0.2011, decode.acc_seg: 91.7982, loss: 0.2011 +2023-03-04 14:34:46,177 - mmseg - INFO - Iter [48300/80000] lr: 9.375e-06, eta: 1:45:12, time: 0.180, data_time: 0.007, memory: 52403, decode.loss_ce: 0.1988, decode.acc_seg: 91.7806, loss: 0.1988 +2023-03-04 14:34:55,628 - mmseg - INFO - Iter [48350/80000] lr: 9.375e-06, eta: 1:45:02, time: 0.189, data_time: 0.007, memory: 52403, decode.loss_ce: 0.1965, decode.acc_seg: 91.8701, loss: 0.1965 +2023-03-04 14:35:07,072 - mmseg - INFO - Iter [48400/80000] lr: 9.375e-06, eta: 1:44:53, time: 0.229, data_time: 0.054, memory: 52403, decode.loss_ce: 0.2104, decode.acc_seg: 91.4369, loss: 0.2104 +2023-03-04 14:35:16,118 - mmseg - INFO - Iter [48450/80000] lr: 9.375e-06, eta: 1:44:42, time: 0.181, data_time: 0.007, memory: 52403, decode.loss_ce: 0.1975, decode.acc_seg: 91.8182, loss: 0.1975 +2023-03-04 14:35:25,510 - mmseg - INFO - Iter [48500/80000] lr: 9.375e-06, eta: 1:44:32, time: 0.188, data_time: 0.007, memory: 52403, decode.loss_ce: 0.1958, decode.acc_seg: 91.9637, loss: 0.1958 +2023-03-04 14:35:34,400 - mmseg - INFO - Iter [48550/80000] lr: 9.375e-06, eta: 1:44:21, time: 0.178, data_time: 0.007, memory: 52403, decode.loss_ce: 0.1955, decode.acc_seg: 91.9767, loss: 0.1955 +2023-03-04 14:35:43,740 - mmseg - INFO - Iter [48600/80000] lr: 9.375e-06, eta: 1:44:11, time: 0.187, data_time: 0.007, memory: 52403, decode.loss_ce: 0.1940, decode.acc_seg: 91.9347, loss: 0.1940 +2023-03-04 14:35:52,698 - mmseg - INFO - Iter [48650/80000] lr: 9.375e-06, eta: 1:44:00, time: 0.179, data_time: 0.007, memory: 52403, decode.loss_ce: 0.1910, decode.acc_seg: 92.1593, loss: 0.1910 +2023-03-04 14:36:01,363 - mmseg - INFO - Iter [48700/80000] lr: 9.375e-06, eta: 1:43:49, time: 0.173, data_time: 0.007, memory: 52403, decode.loss_ce: 0.1989, decode.acc_seg: 91.8195, loss: 0.1989 +2023-03-04 14:36:10,368 - mmseg - INFO - Iter [48750/80000] lr: 9.375e-06, eta: 1:43:38, time: 0.180, data_time: 0.007, memory: 52403, decode.loss_ce: 0.1953, decode.acc_seg: 91.9403, loss: 0.1953 +2023-03-04 14:36:19,376 - mmseg - INFO - Iter [48800/80000] lr: 9.375e-06, eta: 1:43:28, time: 0.180, data_time: 0.007, memory: 52403, decode.loss_ce: 0.2041, decode.acc_seg: 91.6522, loss: 0.2041 +2023-03-04 14:36:28,110 - mmseg - INFO - Iter [48850/80000] lr: 9.375e-06, eta: 1:43:17, time: 0.175, data_time: 0.007, memory: 52403, decode.loss_ce: 0.1936, decode.acc_seg: 91.9957, loss: 0.1936 +2023-03-04 14:36:37,114 - mmseg - INFO - Iter [48900/80000] lr: 9.375e-06, eta: 1:43:06, time: 0.180, data_time: 0.007, memory: 52403, decode.loss_ce: 0.1985, decode.acc_seg: 91.8219, loss: 0.1985 +2023-03-04 14:36:46,287 - mmseg - INFO - Iter [48950/80000] lr: 9.375e-06, eta: 1:42:55, time: 0.183, data_time: 0.007, memory: 52403, decode.loss_ce: 0.1978, decode.acc_seg: 92.0031, loss: 0.1978 +2023-03-04 14:36:55,189 - mmseg - INFO - Exp name: ablation_segformer_mit_b2_segformer_head_unet_fc_single_step_ade_pretrained_freeze_embed_80k_ade20k151_mask.py +2023-03-04 14:36:55,189 - mmseg - INFO - Iter [49000/80000] lr: 9.375e-06, eta: 1:42:45, time: 0.178, data_time: 0.008, memory: 52403, decode.loss_ce: 0.2043, decode.acc_seg: 91.5757, loss: 0.2043 +2023-03-04 14:37:06,589 - mmseg - INFO - Iter [49050/80000] lr: 9.375e-06, eta: 1:42:36, time: 0.228, data_time: 0.056, memory: 52403, decode.loss_ce: 0.1975, decode.acc_seg: 91.6697, loss: 0.1975 +2023-03-04 14:37:15,449 - mmseg - INFO - Iter [49100/80000] lr: 9.375e-06, eta: 1:42:25, time: 0.177, data_time: 0.007, memory: 52403, decode.loss_ce: 0.1986, decode.acc_seg: 91.7736, loss: 0.1986 +2023-03-04 14:37:24,617 - mmseg - INFO - Iter [49150/80000] lr: 9.375e-06, eta: 1:42:15, time: 0.183, data_time: 0.007, memory: 52403, decode.loss_ce: 0.2007, decode.acc_seg: 91.7090, loss: 0.2007 +2023-03-04 14:37:33,336 - mmseg - INFO - Iter [49200/80000] lr: 9.375e-06, eta: 1:42:04, time: 0.174, data_time: 0.007, memory: 52403, decode.loss_ce: 0.1918, decode.acc_seg: 92.0033, loss: 0.1918 +2023-03-04 14:37:42,163 - mmseg - INFO - Iter [49250/80000] lr: 9.375e-06, eta: 1:41:53, time: 0.176, data_time: 0.007, memory: 52403, decode.loss_ce: 0.1976, decode.acc_seg: 91.9694, loss: 0.1976 +2023-03-04 14:37:51,102 - mmseg - INFO - Iter [49300/80000] lr: 9.375e-06, eta: 1:41:42, time: 0.179, data_time: 0.007, memory: 52403, decode.loss_ce: 0.1995, decode.acc_seg: 91.6667, loss: 0.1995 +2023-03-04 14:38:00,147 - mmseg - INFO - Iter [49350/80000] lr: 9.375e-06, eta: 1:41:32, time: 0.181, data_time: 0.007, memory: 52403, decode.loss_ce: 0.1996, decode.acc_seg: 91.8787, loss: 0.1996 +2023-03-04 14:38:08,925 - mmseg - INFO - Iter [49400/80000] lr: 9.375e-06, eta: 1:41:21, time: 0.176, data_time: 0.007, memory: 52403, decode.loss_ce: 0.2019, decode.acc_seg: 91.7698, loss: 0.2019 +2023-03-04 14:38:18,242 - mmseg - INFO - Iter [49450/80000] lr: 9.375e-06, eta: 1:41:10, time: 0.186, data_time: 0.007, memory: 52403, decode.loss_ce: 0.2008, decode.acc_seg: 91.7225, loss: 0.2008 +2023-03-04 14:38:27,316 - mmseg - INFO - Iter [49500/80000] lr: 9.375e-06, eta: 1:41:00, time: 0.181, data_time: 0.007, memory: 52403, decode.loss_ce: 0.2009, decode.acc_seg: 91.6334, loss: 0.2009 +2023-03-04 14:38:36,569 - mmseg - INFO - Iter [49550/80000] lr: 9.375e-06, eta: 1:40:49, time: 0.185, data_time: 0.007, memory: 52403, decode.loss_ce: 0.1944, decode.acc_seg: 91.9249, loss: 0.1944 +2023-03-04 14:38:45,780 - mmseg - INFO - Iter [49600/80000] lr: 9.375e-06, eta: 1:40:39, time: 0.184, data_time: 0.007, memory: 52403, decode.loss_ce: 0.2066, decode.acc_seg: 91.5308, loss: 0.2066 +2023-03-04 14:38:57,296 - mmseg - INFO - Iter [49650/80000] lr: 9.375e-06, eta: 1:40:30, time: 0.230, data_time: 0.054, memory: 52403, decode.loss_ce: 0.1957, decode.acc_seg: 91.9320, loss: 0.1957 +2023-03-04 14:39:06,246 - mmseg - INFO - Iter [49700/80000] lr: 9.375e-06, eta: 1:40:20, time: 0.179, data_time: 0.007, memory: 52403, decode.loss_ce: 0.1938, decode.acc_seg: 92.0664, loss: 0.1938 +2023-03-04 14:39:15,223 - mmseg - INFO - Iter [49750/80000] lr: 9.375e-06, eta: 1:40:09, time: 0.180, data_time: 0.007, memory: 52403, decode.loss_ce: 0.1997, decode.acc_seg: 91.8096, loss: 0.1997 +2023-03-04 14:39:23,898 - mmseg - INFO - Iter [49800/80000] lr: 9.375e-06, eta: 1:39:58, time: 0.173, data_time: 0.007, memory: 52403, decode.loss_ce: 0.1940, decode.acc_seg: 92.1229, loss: 0.1940 +2023-03-04 14:39:32,630 - mmseg - INFO - Iter [49850/80000] lr: 9.375e-06, eta: 1:39:47, time: 0.174, data_time: 0.007, memory: 52403, decode.loss_ce: 0.2045, decode.acc_seg: 91.5670, loss: 0.2045 +2023-03-04 14:39:42,664 - mmseg - INFO - Iter [49900/80000] lr: 9.375e-06, eta: 1:39:37, time: 0.201, data_time: 0.007, memory: 52403, decode.loss_ce: 0.1916, decode.acc_seg: 92.0146, loss: 0.1916 +2023-03-04 14:39:51,592 - mmseg - INFO - Iter [49950/80000] lr: 9.375e-06, eta: 1:39:27, time: 0.179, data_time: 0.007, memory: 52403, decode.loss_ce: 0.1993, decode.acc_seg: 91.7554, loss: 0.1993 +2023-03-04 14:40:00,532 - mmseg - INFO - Exp name: ablation_segformer_mit_b2_segformer_head_unet_fc_single_step_ade_pretrained_freeze_embed_80k_ade20k151_mask.py +2023-03-04 14:40:00,532 - mmseg - INFO - Iter [50000/80000] lr: 9.375e-06, eta: 1:39:16, time: 0.179, data_time: 0.007, memory: 52403, decode.loss_ce: 0.2013, decode.acc_seg: 91.8689, loss: 0.2013 +2023-03-04 14:40:09,321 - mmseg - INFO - Iter [50050/80000] lr: 4.687e-06, eta: 1:39:05, time: 0.176, data_time: 0.007, memory: 52403, decode.loss_ce: 0.1957, decode.acc_seg: 91.9158, loss: 0.1957 +2023-03-04 14:40:18,012 - mmseg - INFO - Iter [50100/80000] lr: 4.687e-06, eta: 1:38:55, time: 0.174, data_time: 0.007, memory: 52403, decode.loss_ce: 0.1975, decode.acc_seg: 91.9011, loss: 0.1975 +2023-03-04 14:40:26,813 - mmseg - INFO - Iter [50150/80000] lr: 4.687e-06, eta: 1:38:44, time: 0.176, data_time: 0.007, memory: 52403, decode.loss_ce: 0.1974, decode.acc_seg: 91.8008, loss: 0.1974 +2023-03-04 14:40:36,480 - mmseg - INFO - Iter [50200/80000] lr: 4.687e-06, eta: 1:38:34, time: 0.193, data_time: 0.007, memory: 52403, decode.loss_ce: 0.2021, decode.acc_seg: 91.7648, loss: 0.2021 +2023-03-04 14:40:45,410 - mmseg - INFO - Iter [50250/80000] lr: 4.687e-06, eta: 1:38:23, time: 0.179, data_time: 0.007, memory: 52403, decode.loss_ce: 0.1988, decode.acc_seg: 91.8636, loss: 0.1988 +2023-03-04 14:40:56,595 - mmseg - INFO - Iter [50300/80000] lr: 4.687e-06, eta: 1:38:14, time: 0.224, data_time: 0.057, memory: 52403, decode.loss_ce: 0.1881, decode.acc_seg: 92.1759, loss: 0.1881 +2023-03-04 14:41:05,514 - mmseg - INFO - Iter [50350/80000] lr: 4.687e-06, eta: 1:38:04, time: 0.178, data_time: 0.007, memory: 52403, decode.loss_ce: 0.1985, decode.acc_seg: 91.8733, loss: 0.1985 +2023-03-04 14:41:14,574 - mmseg - INFO - Iter [50400/80000] lr: 4.687e-06, eta: 1:37:53, time: 0.181, data_time: 0.007, memory: 52403, decode.loss_ce: 0.1934, decode.acc_seg: 92.1354, loss: 0.1934 +2023-03-04 14:41:23,613 - mmseg - INFO - Iter [50450/80000] lr: 4.687e-06, eta: 1:37:42, time: 0.181, data_time: 0.007, memory: 52403, decode.loss_ce: 0.2019, decode.acc_seg: 91.6813, loss: 0.2019 +2023-03-04 14:41:32,254 - mmseg - INFO - Iter [50500/80000] lr: 4.687e-06, eta: 1:37:32, time: 0.173, data_time: 0.007, memory: 52403, decode.loss_ce: 0.1963, decode.acc_seg: 91.8837, loss: 0.1963 +2023-03-04 14:41:41,191 - mmseg - INFO - Iter [50550/80000] lr: 4.687e-06, eta: 1:37:21, time: 0.179, data_time: 0.007, memory: 52403, decode.loss_ce: 0.2005, decode.acc_seg: 91.7514, loss: 0.2005 +2023-03-04 14:41:50,264 - mmseg - INFO - Iter [50600/80000] lr: 4.687e-06, eta: 1:37:11, time: 0.181, data_time: 0.007, memory: 52403, decode.loss_ce: 0.2010, decode.acc_seg: 91.5949, loss: 0.2010 +2023-03-04 14:41:59,234 - mmseg - INFO - Iter [50650/80000] lr: 4.687e-06, eta: 1:37:00, time: 0.179, data_time: 0.007, memory: 52403, decode.loss_ce: 0.1906, decode.acc_seg: 92.0871, loss: 0.1906 +2023-03-04 14:42:07,889 - mmseg - INFO - Iter [50700/80000] lr: 4.687e-06, eta: 1:36:49, time: 0.173, data_time: 0.007, memory: 52403, decode.loss_ce: 0.1907, decode.acc_seg: 92.1353, loss: 0.1907 +2023-03-04 14:42:16,865 - mmseg - INFO - Iter [50750/80000] lr: 4.687e-06, eta: 1:36:39, time: 0.180, data_time: 0.007, memory: 52403, decode.loss_ce: 0.1903, decode.acc_seg: 92.1339, loss: 0.1903 +2023-03-04 14:42:26,178 - mmseg - INFO - Iter [50800/80000] lr: 4.687e-06, eta: 1:36:28, time: 0.186, data_time: 0.007, memory: 52403, decode.loss_ce: 0.1986, decode.acc_seg: 91.8415, loss: 0.1986 +2023-03-04 14:42:34,899 - mmseg - INFO - Iter [50850/80000] lr: 4.687e-06, eta: 1:36:18, time: 0.174, data_time: 0.007, memory: 52403, decode.loss_ce: 0.1972, decode.acc_seg: 91.9218, loss: 0.1972 +2023-03-04 14:42:44,327 - mmseg - INFO - Iter [50900/80000] lr: 4.687e-06, eta: 1:36:07, time: 0.189, data_time: 0.007, memory: 52403, decode.loss_ce: 0.1986, decode.acc_seg: 91.7207, loss: 0.1986 +2023-03-04 14:42:55,945 - mmseg - INFO - Iter [50950/80000] lr: 4.687e-06, eta: 1:35:59, time: 0.232, data_time: 0.057, memory: 52403, decode.loss_ce: 0.2021, decode.acc_seg: 91.7802, loss: 0.2021 +2023-03-04 14:43:04,639 - mmseg - INFO - Exp name: ablation_segformer_mit_b2_segformer_head_unet_fc_single_step_ade_pretrained_freeze_embed_80k_ade20k151_mask.py +2023-03-04 14:43:04,639 - mmseg - INFO - Iter [51000/80000] lr: 4.687e-06, eta: 1:35:48, time: 0.174, data_time: 0.007, memory: 52403, decode.loss_ce: 0.1919, decode.acc_seg: 92.1202, loss: 0.1919 +2023-03-04 14:43:13,935 - mmseg - INFO - Iter [51050/80000] lr: 4.687e-06, eta: 1:35:38, time: 0.186, data_time: 0.007, memory: 52403, decode.loss_ce: 0.1911, decode.acc_seg: 92.1328, loss: 0.1911 +2023-03-04 14:43:23,199 - mmseg - INFO - Iter [51100/80000] lr: 4.687e-06, eta: 1:35:27, time: 0.186, data_time: 0.007, memory: 52403, decode.loss_ce: 0.2007, decode.acc_seg: 91.7667, loss: 0.2007 +2023-03-04 14:43:32,030 - mmseg - INFO - Iter [51150/80000] lr: 4.687e-06, eta: 1:35:17, time: 0.177, data_time: 0.007, memory: 52403, decode.loss_ce: 0.1985, decode.acc_seg: 91.8148, loss: 0.1985 +2023-03-04 14:43:40,944 - mmseg - INFO - Iter [51200/80000] lr: 4.687e-06, eta: 1:35:06, time: 0.178, data_time: 0.007, memory: 52403, decode.loss_ce: 0.1874, decode.acc_seg: 92.2585, loss: 0.1874 +2023-03-04 14:43:50,031 - mmseg - INFO - Iter [51250/80000] lr: 4.687e-06, eta: 1:34:56, time: 0.182, data_time: 0.007, memory: 52403, decode.loss_ce: 0.2000, decode.acc_seg: 91.9283, loss: 0.2000 +2023-03-04 14:43:59,057 - mmseg - INFO - Iter [51300/80000] lr: 4.687e-06, eta: 1:34:45, time: 0.181, data_time: 0.007, memory: 52403, decode.loss_ce: 0.1973, decode.acc_seg: 91.6680, loss: 0.1973 +2023-03-04 14:44:07,738 - mmseg - INFO - Iter [51350/80000] lr: 4.687e-06, eta: 1:34:34, time: 0.174, data_time: 0.007, memory: 52403, decode.loss_ce: 0.1935, decode.acc_seg: 91.9566, loss: 0.1935 +2023-03-04 14:44:16,383 - mmseg - INFO - Iter [51400/80000] lr: 4.687e-06, eta: 1:34:24, time: 0.173, data_time: 0.007, memory: 52403, decode.loss_ce: 0.1946, decode.acc_seg: 92.1081, loss: 0.1946 +2023-03-04 14:44:25,451 - mmseg - INFO - Iter [51450/80000] lr: 4.687e-06, eta: 1:34:13, time: 0.181, data_time: 0.007, memory: 52403, decode.loss_ce: 0.1929, decode.acc_seg: 92.0601, loss: 0.1929 +2023-03-04 14:44:34,713 - mmseg - INFO - Iter [51500/80000] lr: 4.687e-06, eta: 1:34:03, time: 0.185, data_time: 0.007, memory: 52403, decode.loss_ce: 0.1951, decode.acc_seg: 91.9944, loss: 0.1951 +2023-03-04 14:44:45,962 - mmseg - INFO - Iter [51550/80000] lr: 4.687e-06, eta: 1:33:54, time: 0.225, data_time: 0.055, memory: 52403, decode.loss_ce: 0.1981, decode.acc_seg: 91.9660, loss: 0.1981 +2023-03-04 14:44:55,000 - mmseg - INFO - Iter [51600/80000] lr: 4.687e-06, eta: 1:33:43, time: 0.181, data_time: 0.007, memory: 52403, decode.loss_ce: 0.2001, decode.acc_seg: 91.8185, loss: 0.2001 +2023-03-04 14:45:03,787 - mmseg - INFO - Iter [51650/80000] lr: 4.687e-06, eta: 1:33:33, time: 0.176, data_time: 0.007, memory: 52403, decode.loss_ce: 0.1944, decode.acc_seg: 91.9912, loss: 0.1944 +2023-03-04 14:45:13,135 - mmseg - INFO - Iter [51700/80000] lr: 4.687e-06, eta: 1:33:22, time: 0.187, data_time: 0.007, memory: 52403, decode.loss_ce: 0.1968, decode.acc_seg: 91.7945, loss: 0.1968 +2023-03-04 14:45:22,126 - mmseg - INFO - Iter [51750/80000] lr: 4.687e-06, eta: 1:33:12, time: 0.180, data_time: 0.007, memory: 52403, decode.loss_ce: 0.1885, decode.acc_seg: 92.2409, loss: 0.1885 +2023-03-04 14:45:31,426 - mmseg - INFO - Iter [51800/80000] lr: 4.687e-06, eta: 1:33:02, time: 0.186, data_time: 0.007, memory: 52403, decode.loss_ce: 0.2052, decode.acc_seg: 91.4487, loss: 0.2052 +2023-03-04 14:45:40,696 - mmseg - INFO - Iter [51850/80000] lr: 4.687e-06, eta: 1:32:51, time: 0.185, data_time: 0.007, memory: 52403, decode.loss_ce: 0.2031, decode.acc_seg: 91.6025, loss: 0.2031 +2023-03-04 14:45:49,517 - mmseg - INFO - Iter [51900/80000] lr: 4.687e-06, eta: 1:32:41, time: 0.176, data_time: 0.007, memory: 52403, decode.loss_ce: 0.1926, decode.acc_seg: 92.0628, loss: 0.1926 +2023-03-04 14:45:58,244 - mmseg - INFO - Iter [51950/80000] lr: 4.687e-06, eta: 1:32:30, time: 0.175, data_time: 0.007, memory: 52403, decode.loss_ce: 0.1923, decode.acc_seg: 91.9587, loss: 0.1923 +2023-03-04 14:46:07,153 - mmseg - INFO - Exp name: ablation_segformer_mit_b2_segformer_head_unet_fc_single_step_ade_pretrained_freeze_embed_80k_ade20k151_mask.py +2023-03-04 14:46:07,154 - mmseg - INFO - Iter [52000/80000] lr: 4.687e-06, eta: 1:32:20, time: 0.178, data_time: 0.007, memory: 52403, decode.loss_ce: 0.1951, decode.acc_seg: 91.9293, loss: 0.1951 +2023-03-04 14:46:16,310 - mmseg - INFO - Iter [52050/80000] lr: 4.687e-06, eta: 1:32:09, time: 0.183, data_time: 0.007, memory: 52403, decode.loss_ce: 0.2019, decode.acc_seg: 91.7997, loss: 0.2019 +2023-03-04 14:46:25,549 - mmseg - INFO - Iter [52100/80000] lr: 4.687e-06, eta: 1:31:59, time: 0.184, data_time: 0.007, memory: 52403, decode.loss_ce: 0.2051, decode.acc_seg: 91.7394, loss: 0.2051 +2023-03-04 14:46:34,439 - mmseg - INFO - Iter [52150/80000] lr: 4.687e-06, eta: 1:31:48, time: 0.178, data_time: 0.007, memory: 52403, decode.loss_ce: 0.2026, decode.acc_seg: 91.6885, loss: 0.2026 +2023-03-04 14:46:46,031 - mmseg - INFO - Iter [52200/80000] lr: 4.687e-06, eta: 1:31:40, time: 0.232, data_time: 0.054, memory: 52403, decode.loss_ce: 0.2007, decode.acc_seg: 91.9530, loss: 0.2007 +2023-03-04 14:46:54,798 - mmseg - INFO - Iter [52250/80000] lr: 4.687e-06, eta: 1:31:29, time: 0.175, data_time: 0.007, memory: 52403, decode.loss_ce: 0.1978, decode.acc_seg: 91.9682, loss: 0.1978 +2023-03-04 14:47:03,386 - mmseg - INFO - Iter [52300/80000] lr: 4.687e-06, eta: 1:31:18, time: 0.172, data_time: 0.007, memory: 52403, decode.loss_ce: 0.2005, decode.acc_seg: 91.7984, loss: 0.2005 +2023-03-04 14:47:12,305 - mmseg - INFO - Iter [52350/80000] lr: 4.687e-06, eta: 1:31:08, time: 0.178, data_time: 0.007, memory: 52403, decode.loss_ce: 0.2024, decode.acc_seg: 91.6937, loss: 0.2024 +2023-03-04 14:47:21,160 - mmseg - INFO - Iter [52400/80000] lr: 4.687e-06, eta: 1:30:57, time: 0.177, data_time: 0.007, memory: 52403, decode.loss_ce: 0.2076, decode.acc_seg: 91.6521, loss: 0.2076 +2023-03-04 14:47:29,838 - mmseg - INFO - Iter [52450/80000] lr: 4.687e-06, eta: 1:30:47, time: 0.174, data_time: 0.007, memory: 52403, decode.loss_ce: 0.1997, decode.acc_seg: 91.8170, loss: 0.1997 +2023-03-04 14:47:39,075 - mmseg - INFO - Iter [52500/80000] lr: 4.687e-06, eta: 1:30:36, time: 0.185, data_time: 0.008, memory: 52403, decode.loss_ce: 0.1992, decode.acc_seg: 91.7959, loss: 0.1992 +2023-03-04 14:47:47,825 - mmseg - INFO - Iter [52550/80000] lr: 4.687e-06, eta: 1:30:26, time: 0.175, data_time: 0.007, memory: 52403, decode.loss_ce: 0.1899, decode.acc_seg: 92.2106, loss: 0.1899 +2023-03-04 14:47:56,627 - mmseg - INFO - Iter [52600/80000] lr: 4.687e-06, eta: 1:30:15, time: 0.176, data_time: 0.007, memory: 52403, decode.loss_ce: 0.2024, decode.acc_seg: 91.7382, loss: 0.2024 +2023-03-04 14:48:05,836 - mmseg - INFO - Iter [52650/80000] lr: 4.687e-06, eta: 1:30:05, time: 0.184, data_time: 0.007, memory: 52403, decode.loss_ce: 0.1910, decode.acc_seg: 92.0414, loss: 0.1910 +2023-03-04 14:48:14,882 - mmseg - INFO - Iter [52700/80000] lr: 4.687e-06, eta: 1:29:55, time: 0.181, data_time: 0.007, memory: 52403, decode.loss_ce: 0.2025, decode.acc_seg: 91.6881, loss: 0.2025 +2023-03-04 14:48:23,950 - mmseg - INFO - Iter [52750/80000] lr: 4.687e-06, eta: 1:29:44, time: 0.181, data_time: 0.007, memory: 52403, decode.loss_ce: 0.1959, decode.acc_seg: 91.9592, loss: 0.1959 +2023-03-04 14:48:32,884 - mmseg - INFO - Iter [52800/80000] lr: 4.687e-06, eta: 1:29:34, time: 0.179, data_time: 0.007, memory: 52403, decode.loss_ce: 0.2012, decode.acc_seg: 91.6906, loss: 0.2012 +2023-03-04 14:48:44,277 - mmseg - INFO - Iter [52850/80000] lr: 4.687e-06, eta: 1:29:25, time: 0.228, data_time: 0.053, memory: 52403, decode.loss_ce: 0.2086, decode.acc_seg: 91.5259, loss: 0.2086 +2023-03-04 14:48:53,954 - mmseg - INFO - Iter [52900/80000] lr: 4.687e-06, eta: 1:29:15, time: 0.194, data_time: 0.007, memory: 52403, decode.loss_ce: 0.2018, decode.acc_seg: 91.7036, loss: 0.2018 +2023-03-04 14:49:03,027 - mmseg - INFO - Iter [52950/80000] lr: 4.687e-06, eta: 1:29:04, time: 0.181, data_time: 0.007, memory: 52403, decode.loss_ce: 0.1938, decode.acc_seg: 91.9923, loss: 0.1938 +2023-03-04 14:49:12,115 - mmseg - INFO - Exp name: ablation_segformer_mit_b2_segformer_head_unet_fc_single_step_ade_pretrained_freeze_embed_80k_ade20k151_mask.py +2023-03-04 14:49:12,115 - mmseg - INFO - Iter [53000/80000] lr: 4.687e-06, eta: 1:28:54, time: 0.182, data_time: 0.007, memory: 52403, decode.loss_ce: 0.1919, decode.acc_seg: 92.1760, loss: 0.1919 +2023-03-04 14:49:20,980 - mmseg - INFO - Iter [53050/80000] lr: 4.687e-06, eta: 1:28:44, time: 0.177, data_time: 0.007, memory: 52403, decode.loss_ce: 0.2009, decode.acc_seg: 91.7526, loss: 0.2009 +2023-03-04 14:49:30,359 - mmseg - INFO - Iter [53100/80000] lr: 4.687e-06, eta: 1:28:33, time: 0.187, data_time: 0.007, memory: 52403, decode.loss_ce: 0.2000, decode.acc_seg: 91.9184, loss: 0.2000 +2023-03-04 14:49:39,526 - mmseg - INFO - Iter [53150/80000] lr: 4.687e-06, eta: 1:28:23, time: 0.184, data_time: 0.008, memory: 52403, decode.loss_ce: 0.2022, decode.acc_seg: 91.7232, loss: 0.2022 +2023-03-04 14:49:48,472 - mmseg - INFO - Iter [53200/80000] lr: 4.687e-06, eta: 1:28:13, time: 0.179, data_time: 0.007, memory: 52403, decode.loss_ce: 0.1941, decode.acc_seg: 91.9413, loss: 0.1941 +2023-03-04 14:49:57,433 - mmseg - INFO - Iter [53250/80000] lr: 4.687e-06, eta: 1:28:02, time: 0.179, data_time: 0.007, memory: 52403, decode.loss_ce: 0.1964, decode.acc_seg: 91.8014, loss: 0.1964 +2023-03-04 14:50:06,409 - mmseg - INFO - Iter [53300/80000] lr: 4.687e-06, eta: 1:27:52, time: 0.180, data_time: 0.007, memory: 52403, decode.loss_ce: 0.1995, decode.acc_seg: 91.8480, loss: 0.1995 +2023-03-04 14:50:15,864 - mmseg - INFO - Iter [53350/80000] lr: 4.687e-06, eta: 1:27:42, time: 0.189, data_time: 0.007, memory: 52403, decode.loss_ce: 0.1930, decode.acc_seg: 92.2035, loss: 0.1930 +2023-03-04 14:50:24,792 - mmseg - INFO - Iter [53400/80000] lr: 4.687e-06, eta: 1:27:31, time: 0.179, data_time: 0.007, memory: 52403, decode.loss_ce: 0.1908, decode.acc_seg: 92.0351, loss: 0.1908 +2023-03-04 14:50:36,128 - mmseg - INFO - Iter [53450/80000] lr: 4.687e-06, eta: 1:27:22, time: 0.227, data_time: 0.055, memory: 52403, decode.loss_ce: 0.1959, decode.acc_seg: 92.1434, loss: 0.1959 +2023-03-04 14:50:44,770 - mmseg - INFO - Iter [53500/80000] lr: 4.687e-06, eta: 1:27:12, time: 0.173, data_time: 0.007, memory: 52403, decode.loss_ce: 0.1961, decode.acc_seg: 91.9007, loss: 0.1961 +2023-03-04 14:50:54,362 - mmseg - INFO - Iter [53550/80000] lr: 4.687e-06, eta: 1:27:02, time: 0.192, data_time: 0.007, memory: 52403, decode.loss_ce: 0.1954, decode.acc_seg: 91.9859, loss: 0.1954 +2023-03-04 14:51:02,991 - mmseg - INFO - Iter [53600/80000] lr: 4.687e-06, eta: 1:26:51, time: 0.173, data_time: 0.007, memory: 52403, decode.loss_ce: 0.1981, decode.acc_seg: 91.9582, loss: 0.1981 +2023-03-04 14:51:12,030 - mmseg - INFO - Iter [53650/80000] lr: 4.687e-06, eta: 1:26:41, time: 0.181, data_time: 0.007, memory: 52403, decode.loss_ce: 0.2030, decode.acc_seg: 91.7597, loss: 0.2030 +2023-03-04 14:51:20,697 - mmseg - INFO - Iter [53700/80000] lr: 4.687e-06, eta: 1:26:30, time: 0.173, data_time: 0.007, memory: 52403, decode.loss_ce: 0.1893, decode.acc_seg: 92.0707, loss: 0.1893 +2023-03-04 14:51:29,389 - mmseg - INFO - Iter [53750/80000] lr: 4.687e-06, eta: 1:26:20, time: 0.174, data_time: 0.007, memory: 52403, decode.loss_ce: 0.1952, decode.acc_seg: 91.9079, loss: 0.1952 +2023-03-04 14:51:38,318 - mmseg - INFO - Iter [53800/80000] lr: 4.687e-06, eta: 1:26:09, time: 0.179, data_time: 0.007, memory: 52403, decode.loss_ce: 0.2076, decode.acc_seg: 91.5192, loss: 0.2076 +2023-03-04 14:51:47,095 - mmseg - INFO - Iter [53850/80000] lr: 4.687e-06, eta: 1:25:59, time: 0.176, data_time: 0.007, memory: 52403, decode.loss_ce: 0.2020, decode.acc_seg: 91.7202, loss: 0.2020 +2023-03-04 14:51:56,367 - mmseg - INFO - Iter [53900/80000] lr: 4.687e-06, eta: 1:25:49, time: 0.185, data_time: 0.007, memory: 52403, decode.loss_ce: 0.1980, decode.acc_seg: 91.6130, loss: 0.1980 +2023-03-04 14:52:05,032 - mmseg - INFO - Iter [53950/80000] lr: 4.687e-06, eta: 1:25:38, time: 0.173, data_time: 0.007, memory: 52403, decode.loss_ce: 0.2017, decode.acc_seg: 91.7228, loss: 0.2017 +2023-03-04 14:52:14,238 - mmseg - INFO - Exp name: ablation_segformer_mit_b2_segformer_head_unet_fc_single_step_ade_pretrained_freeze_embed_80k_ade20k151_mask.py +2023-03-04 14:52:14,238 - mmseg - INFO - Iter [54000/80000] lr: 4.687e-06, eta: 1:25:28, time: 0.184, data_time: 0.008, memory: 52403, decode.loss_ce: 0.1991, decode.acc_seg: 91.8484, loss: 0.1991 +2023-03-04 14:52:22,996 - mmseg - INFO - Iter [54050/80000] lr: 4.687e-06, eta: 1:25:17, time: 0.175, data_time: 0.007, memory: 52403, decode.loss_ce: 0.2028, decode.acc_seg: 91.6326, loss: 0.2028 +2023-03-04 14:52:34,447 - mmseg - INFO - Iter [54100/80000] lr: 4.687e-06, eta: 1:25:08, time: 0.229, data_time: 0.055, memory: 52403, decode.loss_ce: 0.2050, decode.acc_seg: 91.6356, loss: 0.2050 +2023-03-04 14:52:43,443 - mmseg - INFO - Iter [54150/80000] lr: 4.687e-06, eta: 1:24:58, time: 0.180, data_time: 0.007, memory: 52403, decode.loss_ce: 0.2061, decode.acc_seg: 91.6071, loss: 0.2061 +2023-03-04 14:52:52,913 - mmseg - INFO - Iter [54200/80000] lr: 4.687e-06, eta: 1:24:48, time: 0.189, data_time: 0.007, memory: 52403, decode.loss_ce: 0.1996, decode.acc_seg: 91.6480, loss: 0.1996 +2023-03-04 14:53:01,786 - mmseg - INFO - Iter [54250/80000] lr: 4.687e-06, eta: 1:24:37, time: 0.177, data_time: 0.007, memory: 52403, decode.loss_ce: 0.1878, decode.acc_seg: 92.2403, loss: 0.1878 +2023-03-04 14:53:10,475 - mmseg - INFO - Iter [54300/80000] lr: 4.687e-06, eta: 1:24:27, time: 0.174, data_time: 0.007, memory: 52403, decode.loss_ce: 0.1980, decode.acc_seg: 91.8910, loss: 0.1980 +2023-03-04 14:53:19,223 - mmseg - INFO - Iter [54350/80000] lr: 4.687e-06, eta: 1:24:16, time: 0.175, data_time: 0.007, memory: 52403, decode.loss_ce: 0.1949, decode.acc_seg: 91.9880, loss: 0.1949 +2023-03-04 14:53:28,220 - mmseg - INFO - Iter [54400/80000] lr: 4.687e-06, eta: 1:24:06, time: 0.180, data_time: 0.007, memory: 52403, decode.loss_ce: 0.2017, decode.acc_seg: 91.6940, loss: 0.2017 +2023-03-04 14:53:37,382 - mmseg - INFO - Iter [54450/80000] lr: 4.687e-06, eta: 1:23:56, time: 0.183, data_time: 0.007, memory: 52403, decode.loss_ce: 0.1964, decode.acc_seg: 91.9125, loss: 0.1964 +2023-03-04 14:53:46,118 - mmseg - INFO - Iter [54500/80000] lr: 4.687e-06, eta: 1:23:45, time: 0.175, data_time: 0.007, memory: 52403, decode.loss_ce: 0.2052, decode.acc_seg: 91.6747, loss: 0.2052 +2023-03-04 14:53:54,970 - mmseg - INFO - Iter [54550/80000] lr: 4.687e-06, eta: 1:23:35, time: 0.177, data_time: 0.007, memory: 52403, decode.loss_ce: 0.1917, decode.acc_seg: 92.0944, loss: 0.1917 +2023-03-04 14:54:03,891 - mmseg - INFO - Iter [54600/80000] lr: 4.687e-06, eta: 1:23:25, time: 0.178, data_time: 0.007, memory: 52403, decode.loss_ce: 0.1925, decode.acc_seg: 92.1318, loss: 0.1925 +2023-03-04 14:54:13,138 - mmseg - INFO - Iter [54650/80000] lr: 4.687e-06, eta: 1:23:14, time: 0.185, data_time: 0.007, memory: 52403, decode.loss_ce: 0.1995, decode.acc_seg: 91.6410, loss: 0.1995 +2023-03-04 14:54:24,549 - mmseg - INFO - Iter [54700/80000] lr: 4.687e-06, eta: 1:23:05, time: 0.228, data_time: 0.053, memory: 52403, decode.loss_ce: 0.1993, decode.acc_seg: 91.8139, loss: 0.1993 +2023-03-04 14:54:33,273 - mmseg - INFO - Iter [54750/80000] lr: 4.687e-06, eta: 1:22:55, time: 0.174, data_time: 0.007, memory: 52403, decode.loss_ce: 0.1861, decode.acc_seg: 92.2361, loss: 0.1861 +2023-03-04 14:54:42,565 - mmseg - INFO - Iter [54800/80000] lr: 4.687e-06, eta: 1:22:45, time: 0.186, data_time: 0.007, memory: 52403, decode.loss_ce: 0.2015, decode.acc_seg: 91.7409, loss: 0.2015 +2023-03-04 14:54:51,185 - mmseg - INFO - Iter [54850/80000] lr: 4.687e-06, eta: 1:22:34, time: 0.172, data_time: 0.007, memory: 52403, decode.loss_ce: 0.2079, decode.acc_seg: 91.4775, loss: 0.2079 +2023-03-04 14:55:00,156 - mmseg - INFO - Iter [54900/80000] lr: 4.687e-06, eta: 1:22:24, time: 0.179, data_time: 0.007, memory: 52403, decode.loss_ce: 0.2026, decode.acc_seg: 91.6505, loss: 0.2026 +2023-03-04 14:55:09,159 - mmseg - INFO - Iter [54950/80000] lr: 4.687e-06, eta: 1:22:14, time: 0.180, data_time: 0.007, memory: 52403, decode.loss_ce: 0.1952, decode.acc_seg: 91.9411, loss: 0.1952 +2023-03-04 14:55:18,832 - mmseg - INFO - Exp name: ablation_segformer_mit_b2_segformer_head_unet_fc_single_step_ade_pretrained_freeze_embed_80k_ade20k151_mask.py +2023-03-04 14:55:18,832 - mmseg - INFO - Iter [55000/80000] lr: 4.687e-06, eta: 1:22:04, time: 0.193, data_time: 0.007, memory: 52403, decode.loss_ce: 0.1955, decode.acc_seg: 91.9257, loss: 0.1955 +2023-03-04 14:55:27,953 - mmseg - INFO - Iter [55050/80000] lr: 4.687e-06, eta: 1:21:54, time: 0.182, data_time: 0.007, memory: 52403, decode.loss_ce: 0.1963, decode.acc_seg: 91.9451, loss: 0.1963 +2023-03-04 14:55:36,726 - mmseg - INFO - Iter [55100/80000] lr: 4.687e-06, eta: 1:21:43, time: 0.175, data_time: 0.007, memory: 52403, decode.loss_ce: 0.2031, decode.acc_seg: 91.7414, loss: 0.2031 +2023-03-04 14:55:45,689 - mmseg - INFO - Iter [55150/80000] lr: 4.687e-06, eta: 1:21:33, time: 0.179, data_time: 0.007, memory: 52403, decode.loss_ce: 0.1923, decode.acc_seg: 92.0457, loss: 0.1923 +2023-03-04 14:55:54,349 - mmseg - INFO - Iter [55200/80000] lr: 4.687e-06, eta: 1:21:22, time: 0.173, data_time: 0.007, memory: 52403, decode.loss_ce: 0.2041, decode.acc_seg: 91.6720, loss: 0.2041 +2023-03-04 14:56:03,071 - mmseg - INFO - Iter [55250/80000] lr: 4.687e-06, eta: 1:21:12, time: 0.174, data_time: 0.007, memory: 52403, decode.loss_ce: 0.1925, decode.acc_seg: 92.0812, loss: 0.1925 +2023-03-04 14:56:12,286 - mmseg - INFO - Iter [55300/80000] lr: 4.687e-06, eta: 1:21:02, time: 0.185, data_time: 0.007, memory: 52403, decode.loss_ce: 0.1978, decode.acc_seg: 91.8541, loss: 0.1978 +2023-03-04 14:56:23,528 - mmseg - INFO - Iter [55350/80000] lr: 4.687e-06, eta: 1:20:53, time: 0.225, data_time: 0.056, memory: 52403, decode.loss_ce: 0.2010, decode.acc_seg: 91.7193, loss: 0.2010 +2023-03-04 14:56:32,511 - mmseg - INFO - Iter [55400/80000] lr: 4.687e-06, eta: 1:20:42, time: 0.179, data_time: 0.007, memory: 52403, decode.loss_ce: 0.1942, decode.acc_seg: 92.0240, loss: 0.1942 +2023-03-04 14:56:41,290 - mmseg - INFO - Iter [55450/80000] lr: 4.687e-06, eta: 1:20:32, time: 0.176, data_time: 0.007, memory: 52403, decode.loss_ce: 0.1962, decode.acc_seg: 91.9944, loss: 0.1962 +2023-03-04 14:56:50,757 - mmseg - INFO - Iter [55500/80000] lr: 4.687e-06, eta: 1:20:22, time: 0.189, data_time: 0.007, memory: 52403, decode.loss_ce: 0.1979, decode.acc_seg: 91.8312, loss: 0.1979 +2023-03-04 14:56:59,669 - mmseg - INFO - Iter [55550/80000] lr: 4.687e-06, eta: 1:20:12, time: 0.178, data_time: 0.007, memory: 52403, decode.loss_ce: 0.2011, decode.acc_seg: 91.6275, loss: 0.2011 +2023-03-04 14:57:08,936 - mmseg - INFO - Iter [55600/80000] lr: 4.687e-06, eta: 1:20:01, time: 0.186, data_time: 0.007, memory: 52403, decode.loss_ce: 0.1957, decode.acc_seg: 91.9033, loss: 0.1957 +2023-03-04 14:57:17,973 - mmseg - INFO - Iter [55650/80000] lr: 4.687e-06, eta: 1:19:51, time: 0.181, data_time: 0.007, memory: 52403, decode.loss_ce: 0.2010, decode.acc_seg: 91.8723, loss: 0.2010 +2023-03-04 14:57:26,692 - mmseg - INFO - Iter [55700/80000] lr: 4.687e-06, eta: 1:19:41, time: 0.174, data_time: 0.007, memory: 52403, decode.loss_ce: 0.2016, decode.acc_seg: 91.7333, loss: 0.2016 +2023-03-04 14:57:35,583 - mmseg - INFO - Iter [55750/80000] lr: 4.687e-06, eta: 1:19:30, time: 0.178, data_time: 0.007, memory: 52403, decode.loss_ce: 0.1957, decode.acc_seg: 91.8016, loss: 0.1957 +2023-03-04 14:57:44,377 - mmseg - INFO - Iter [55800/80000] lr: 4.687e-06, eta: 1:19:20, time: 0.176, data_time: 0.007, memory: 52403, decode.loss_ce: 0.1951, decode.acc_seg: 91.9522, loss: 0.1951 +2023-03-04 14:57:53,235 - mmseg - INFO - Iter [55850/80000] lr: 4.687e-06, eta: 1:19:10, time: 0.177, data_time: 0.007, memory: 52403, decode.loss_ce: 0.1973, decode.acc_seg: 91.9762, loss: 0.1973 +2023-03-04 14:58:02,766 - mmseg - INFO - Iter [55900/80000] lr: 4.687e-06, eta: 1:19:00, time: 0.191, data_time: 0.007, memory: 52403, decode.loss_ce: 0.1877, decode.acc_seg: 92.2946, loss: 0.1877 +2023-03-04 14:58:11,402 - mmseg - INFO - Iter [55950/80000] lr: 4.687e-06, eta: 1:18:49, time: 0.173, data_time: 0.007, memory: 52403, decode.loss_ce: 0.2016, decode.acc_seg: 91.6170, loss: 0.2016 +2023-03-04 14:58:22,720 - mmseg - INFO - Saving checkpoint at 56000 iterations +2023-03-04 14:58:23,355 - mmseg - INFO - Exp name: ablation_segformer_mit_b2_segformer_head_unet_fc_single_step_ade_pretrained_freeze_embed_80k_ade20k151_mask.py +2023-03-04 14:58:23,355 - mmseg - INFO - Iter [56000/80000] lr: 4.687e-06, eta: 1:18:41, time: 0.239, data_time: 0.055, memory: 52403, decode.loss_ce: 0.1913, decode.acc_seg: 92.1680, loss: 0.1913 +2023-03-04 14:58:39,149 - mmseg - INFO - per class results: +2023-03-04 14:58:39,155 - mmseg - INFO - ++---------------------+-------+-------+ +| Class | IoU | Acc | ++---------------------+-------+-------+ +| background | nan | nan | +| wall | 77.21 | 88.98 | +| building | 81.45 | 91.84 | +| sky | 94.37 | 97.09 | +| floor | 81.2 | 91.23 | +| tree | 73.72 | 88.27 | +| ceiling | 84.91 | 93.27 | +| road | 81.69 | 90.13 | +| bed | 87.31 | 95.18 | +| windowpane | 60.16 | 77.91 | +| grass | 67.02 | 82.97 | +| cabinet | 59.82 | 73.23 | +| sidewalk | 63.78 | 79.49 | +| person | 78.84 | 92.32 | +| earth | 35.54 | 48.82 | +| door | 45.12 | 58.26 | +| table | 59.87 | 75.67 | +| mountain | 57.81 | 72.15 | +| plant | 49.39 | 60.9 | +| curtain | 73.72 | 83.84 | +| chair | 55.86 | 68.88 | +| car | 80.68 | 92.41 | +| water | 57.66 | 75.73 | +| painting | 70.59 | 84.12 | +| sofa | 62.53 | 82.33 | +| shelf | 43.07 | 61.12 | +| house | 42.52 | 57.62 | +| sea | 60.35 | 76.54 | +| mirror | 65.29 | 73.96 | +| rug | 65.13 | 73.9 | +| field | 30.68 | 45.68 | +| armchair | 36.45 | 52.31 | +| seat | 65.87 | 82.38 | +| fence | 40.65 | 54.49 | +| desk | 45.73 | 66.66 | +| rock | 37.07 | 61.06 | +| wardrobe | 55.98 | 67.27 | +| lamp | 60.0 | 74.1 | +| bathtub | 73.62 | 80.65 | +| railing | 33.27 | 46.34 | +| cushion | 55.5 | 68.76 | +| base | 20.4 | 24.89 | +| box | 23.93 | 32.83 | +| column | 44.86 | 55.23 | +| signboard | 37.34 | 50.26 | +| chest of drawers | 36.11 | 55.7 | +| counter | 30.56 | 40.02 | +| sand | 42.85 | 59.12 | +| sink | 66.86 | 78.36 | +| skyscraper | 50.57 | 63.88 | +| fireplace | 72.79 | 85.3 | +| refrigerator | 74.02 | 85.2 | +| grandstand | 52.67 | 65.98 | +| path | 21.71 | 29.08 | +| stairs | 33.21 | 42.24 | +| runway | 67.0 | 86.0 | +| case | 47.69 | 58.49 | +| pool table | 91.34 | 94.21 | +| pillow | 59.97 | 69.74 | +| screen door | 66.94 | 71.97 | +| stairway | 23.78 | 35.03 | +| river | 11.88 | 22.06 | +| bridge | 32.53 | 37.08 | +| bookcase | 44.49 | 62.91 | +| blind | 38.65 | 43.88 | +| coffee table | 52.87 | 76.77 | +| toilet | 83.48 | 89.2 | +| flower | 38.05 | 52.3 | +| book | 43.64 | 66.44 | +| hill | 15.07 | 22.45 | +| bench | 41.97 | 54.64 | +| countertop | 52.96 | 69.86 | +| stove | 69.72 | 81.1 | +| palm | 48.01 | 68.24 | +| kitchen island | 38.69 | 58.14 | +| computer | 59.9 | 68.67 | +| swivel chair | 44.56 | 60.19 | +| boat | 68.75 | 84.27 | +| bar | 23.66 | 32.07 | +| arcade machine | 71.63 | 74.51 | +| hovel | 33.59 | 37.81 | +| bus | 78.72 | 90.22 | +| towel | 62.83 | 72.87 | +| light | 52.53 | 58.75 | +| truck | 17.84 | 23.66 | +| tower | 7.49 | 11.98 | +| chandelier | 63.26 | 78.18 | +| awning | 23.13 | 26.48 | +| streetlight | 25.35 | 33.87 | +| booth | 40.15 | 41.29 | +| television receiver | 63.78 | 76.63 | +| airplane | 59.38 | 65.6 | +| dirt track | 19.68 | 49.91 | +| apparel | 33.36 | 54.52 | +| pole | 15.3 | 19.63 | +| land | 4.5 | 6.55 | +| bannister | 10.42 | 14.16 | +| escalator | 22.64 | 23.72 | +| ottoman | 41.96 | 59.96 | +| bottle | 35.95 | 58.34 | +| buffet | 36.24 | 42.09 | +| poster | 23.64 | 33.81 | +| stage | 13.09 | 16.77 | +| van | 38.13 | 52.38 | +| ship | 76.33 | 90.64 | +| fountain | 21.15 | 21.52 | +| conveyer belt | 84.79 | 89.7 | +| canopy | 22.33 | 23.77 | +| washer | 77.24 | 78.08 | +| plaything | 20.27 | 27.58 | +| swimming pool | 71.98 | 78.91 | +| stool | 42.91 | 57.73 | +| barrel | 45.59 | 55.84 | +| basket | 25.29 | 37.0 | +| waterfall | 48.2 | 63.97 | +| tent | 94.45 | 97.56 | +| bag | 14.61 | 18.31 | +| minibike | 61.12 | 71.81 | +| cradle | 84.27 | 95.31 | +| oven | 46.01 | 64.49 | +| ball | 41.59 | 46.92 | +| food | 51.99 | 61.47 | +| step | 3.64 | 3.84 | +| tank | 48.88 | 53.95 | +| trade name | 27.36 | 29.89 | +| microwave | 74.32 | 80.34 | +| pot | 30.69 | 35.0 | +| animal | 52.95 | 60.49 | +| bicycle | 53.23 | 71.56 | +| lake | 57.42 | 62.87 | +| dishwasher | 67.01 | 76.54 | +| screen | 67.11 | 78.42 | +| blanket | 17.65 | 20.43 | +| sculpture | 56.38 | 78.01 | +| hood | 57.45 | 63.6 | +| sconce | 40.37 | 47.56 | +| vase | 36.72 | 50.0 | +| traffic light | 32.14 | 47.58 | +| tray | 6.18 | 9.27 | +| ashcan | 41.88 | 53.0 | +| fan | 57.88 | 69.22 | +| pier | 37.66 | 47.42 | +| crt screen | 8.94 | 23.58 | +| plate | 50.61 | 66.35 | +| monitor | 18.19 | 21.32 | +| bulletin board | 39.2 | 52.4 | +| shower | 1.37 | 5.79 | +| radiator | 60.03 | 66.84 | +| glass | 12.5 | 13.86 | +| clock | 33.95 | 37.25 | +| flag | 34.3 | 38.0 | ++---------------------+-------+-------+ +2023-03-04 14:58:39,155 - mmseg - INFO - Summary: +2023-03-04 14:58:39,155 - mmseg - INFO - ++-------+-------+------+ +| aAcc | mIoU | mAcc | ++-------+-------+------+ +| 82.55 | 47.84 | 58.6 | ++-------+-------+------+ +2023-03-04 14:58:39,156 - mmseg - INFO - Exp name: ablation_segformer_mit_b2_segformer_head_unet_fc_single_step_ade_pretrained_freeze_embed_80k_ade20k151_mask.py +2023-03-04 14:58:39,156 - mmseg - INFO - Iter(val) [250] aAcc: 0.8255, mIoU: 0.4784, mAcc: 0.5860, IoU.background: nan, IoU.wall: 0.7721, IoU.building: 0.8145, IoU.sky: 0.9437, IoU.floor: 0.8120, IoU.tree: 0.7372, IoU.ceiling: 0.8491, IoU.road: 0.8169, IoU.bed : 0.8731, IoU.windowpane: 0.6016, IoU.grass: 0.6702, IoU.cabinet: 0.5982, IoU.sidewalk: 0.6378, IoU.person: 0.7884, IoU.earth: 0.3554, IoU.door: 0.4512, IoU.table: 0.5987, IoU.mountain: 0.5781, IoU.plant: 0.4939, IoU.curtain: 0.7372, IoU.chair: 0.5586, IoU.car: 0.8068, IoU.water: 0.5766, IoU.painting: 0.7059, IoU.sofa: 0.6253, IoU.shelf: 0.4307, IoU.house: 0.4252, IoU.sea: 0.6035, IoU.mirror: 0.6529, IoU.rug: 0.6513, IoU.field: 0.3068, IoU.armchair: 0.3645, IoU.seat: 0.6587, IoU.fence: 0.4065, IoU.desk: 0.4573, IoU.rock: 0.3707, IoU.wardrobe: 0.5598, IoU.lamp: 0.6000, IoU.bathtub: 0.7362, IoU.railing: 0.3327, IoU.cushion: 0.5550, IoU.base: 0.2040, IoU.box: 0.2393, IoU.column: 0.4486, IoU.signboard: 0.3734, IoU.chest of drawers: 0.3611, IoU.counter: 0.3056, IoU.sand: 0.4285, IoU.sink: 0.6686, IoU.skyscraper: 0.5057, IoU.fireplace: 0.7279, IoU.refrigerator: 0.7402, IoU.grandstand: 0.5267, IoU.path: 0.2171, IoU.stairs: 0.3321, IoU.runway: 0.6700, IoU.case: 0.4769, IoU.pool table: 0.9134, IoU.pillow: 0.5997, IoU.screen door: 0.6694, IoU.stairway: 0.2378, IoU.river: 0.1188, IoU.bridge: 0.3253, IoU.bookcase: 0.4449, IoU.blind: 0.3865, IoU.coffee table: 0.5287, IoU.toilet: 0.8348, IoU.flower: 0.3805, IoU.book: 0.4364, IoU.hill: 0.1507, IoU.bench: 0.4197, IoU.countertop: 0.5296, IoU.stove: 0.6972, IoU.palm: 0.4801, IoU.kitchen island: 0.3869, IoU.computer: 0.5990, IoU.swivel chair: 0.4456, IoU.boat: 0.6875, IoU.bar: 0.2366, IoU.arcade machine: 0.7163, IoU.hovel: 0.3359, IoU.bus: 0.7872, IoU.towel: 0.6283, IoU.light: 0.5253, IoU.truck: 0.1784, IoU.tower: 0.0749, IoU.chandelier: 0.6326, IoU.awning: 0.2313, IoU.streetlight: 0.2535, IoU.booth: 0.4015, IoU.television receiver: 0.6378, IoU.airplane: 0.5938, IoU.dirt track: 0.1968, IoU.apparel: 0.3336, IoU.pole: 0.1530, IoU.land: 0.0450, IoU.bannister: 0.1042, IoU.escalator: 0.2264, IoU.ottoman: 0.4196, IoU.bottle: 0.3595, IoU.buffet: 0.3624, IoU.poster: 0.2364, IoU.stage: 0.1309, IoU.van: 0.3813, IoU.ship: 0.7633, IoU.fountain: 0.2115, IoU.conveyer belt: 0.8479, IoU.canopy: 0.2233, IoU.washer: 0.7724, IoU.plaything: 0.2027, IoU.swimming pool: 0.7198, IoU.stool: 0.4291, IoU.barrel: 0.4559, IoU.basket: 0.2529, IoU.waterfall: 0.4820, IoU.tent: 0.9445, IoU.bag: 0.1461, IoU.minibike: 0.6112, IoU.cradle: 0.8427, IoU.oven: 0.4601, IoU.ball: 0.4159, IoU.food: 0.5199, IoU.step: 0.0364, IoU.tank: 0.4888, IoU.trade name: 0.2736, IoU.microwave: 0.7432, IoU.pot: 0.3069, IoU.animal: 0.5295, IoU.bicycle: 0.5323, IoU.lake: 0.5742, IoU.dishwasher: 0.6701, IoU.screen: 0.6711, IoU.blanket: 0.1765, IoU.sculpture: 0.5638, IoU.hood: 0.5745, IoU.sconce: 0.4037, IoU.vase: 0.3672, IoU.traffic light: 0.3214, IoU.tray: 0.0618, IoU.ashcan: 0.4188, IoU.fan: 0.5788, IoU.pier: 0.3766, IoU.crt screen: 0.0894, IoU.plate: 0.5061, IoU.monitor: 0.1819, IoU.bulletin board: 0.3920, IoU.shower: 0.0137, IoU.radiator: 0.6003, IoU.glass: 0.1250, IoU.clock: 0.3395, IoU.flag: 0.3430, Acc.background: nan, Acc.wall: 0.8898, Acc.building: 0.9184, Acc.sky: 0.9709, Acc.floor: 0.9123, Acc.tree: 0.8827, Acc.ceiling: 0.9327, Acc.road: 0.9013, Acc.bed : 0.9518, Acc.windowpane: 0.7791, Acc.grass: 0.8297, Acc.cabinet: 0.7323, Acc.sidewalk: 0.7949, Acc.person: 0.9232, Acc.earth: 0.4882, Acc.door: 0.5826, Acc.table: 0.7567, Acc.mountain: 0.7215, Acc.plant: 0.6090, Acc.curtain: 0.8384, Acc.chair: 0.6888, Acc.car: 0.9241, Acc.water: 0.7573, Acc.painting: 0.8412, Acc.sofa: 0.8233, Acc.shelf: 0.6112, Acc.house: 0.5762, Acc.sea: 0.7654, Acc.mirror: 0.7396, Acc.rug: 0.7390, Acc.field: 0.4568, Acc.armchair: 0.5231, Acc.seat: 0.8238, Acc.fence: 0.5449, Acc.desk: 0.6666, Acc.rock: 0.6106, Acc.wardrobe: 0.6727, Acc.lamp: 0.7410, Acc.bathtub: 0.8065, Acc.railing: 0.4634, Acc.cushion: 0.6876, Acc.base: 0.2489, Acc.box: 0.3283, Acc.column: 0.5523, Acc.signboard: 0.5026, Acc.chest of drawers: 0.5570, Acc.counter: 0.4002, Acc.sand: 0.5912, Acc.sink: 0.7836, Acc.skyscraper: 0.6388, Acc.fireplace: 0.8530, Acc.refrigerator: 0.8520, Acc.grandstand: 0.6598, Acc.path: 0.2908, Acc.stairs: 0.4224, Acc.runway: 0.8600, Acc.case: 0.5849, Acc.pool table: 0.9421, Acc.pillow: 0.6974, Acc.screen door: 0.7197, Acc.stairway: 0.3503, Acc.river: 0.2206, Acc.bridge: 0.3708, Acc.bookcase: 0.6291, Acc.blind: 0.4388, Acc.coffee table: 0.7677, Acc.toilet: 0.8920, Acc.flower: 0.5230, Acc.book: 0.6644, Acc.hill: 0.2245, Acc.bench: 0.5464, Acc.countertop: 0.6986, Acc.stove: 0.8110, Acc.palm: 0.6824, Acc.kitchen island: 0.5814, Acc.computer: 0.6867, Acc.swivel chair: 0.6019, Acc.boat: 0.8427, Acc.bar: 0.3207, Acc.arcade machine: 0.7451, Acc.hovel: 0.3781, Acc.bus: 0.9022, Acc.towel: 0.7287, Acc.light: 0.5875, Acc.truck: 0.2366, Acc.tower: 0.1198, Acc.chandelier: 0.7818, Acc.awning: 0.2648, Acc.streetlight: 0.3387, Acc.booth: 0.4129, Acc.television receiver: 0.7663, Acc.airplane: 0.6560, Acc.dirt track: 0.4991, Acc.apparel: 0.5452, Acc.pole: 0.1963, Acc.land: 0.0655, Acc.bannister: 0.1416, Acc.escalator: 0.2372, Acc.ottoman: 0.5996, Acc.bottle: 0.5834, Acc.buffet: 0.4209, Acc.poster: 0.3381, Acc.stage: 0.1677, Acc.van: 0.5238, Acc.ship: 0.9064, Acc.fountain: 0.2152, Acc.conveyer belt: 0.8970, Acc.canopy: 0.2377, Acc.washer: 0.7808, Acc.plaything: 0.2758, Acc.swimming pool: 0.7891, Acc.stool: 0.5773, Acc.barrel: 0.5584, Acc.basket: 0.3700, Acc.waterfall: 0.6397, Acc.tent: 0.9756, Acc.bag: 0.1831, Acc.minibike: 0.7181, Acc.cradle: 0.9531, Acc.oven: 0.6449, Acc.ball: 0.4692, Acc.food: 0.6147, Acc.step: 0.0384, Acc.tank: 0.5395, Acc.trade name: 0.2989, Acc.microwave: 0.8034, Acc.pot: 0.3500, Acc.animal: 0.6049, Acc.bicycle: 0.7156, Acc.lake: 0.6287, Acc.dishwasher: 0.7654, Acc.screen: 0.7842, Acc.blanket: 0.2043, Acc.sculpture: 0.7801, Acc.hood: 0.6360, Acc.sconce: 0.4756, Acc.vase: 0.5000, Acc.traffic light: 0.4758, Acc.tray: 0.0927, Acc.ashcan: 0.5300, Acc.fan: 0.6922, Acc.pier: 0.4742, Acc.crt screen: 0.2358, Acc.plate: 0.6635, Acc.monitor: 0.2132, Acc.bulletin board: 0.5240, Acc.shower: 0.0579, Acc.radiator: 0.6684, Acc.glass: 0.1386, Acc.clock: 0.3725, Acc.flag: 0.3800 +2023-03-04 14:58:48,316 - mmseg - INFO - Iter [56050/80000] lr: 4.687e-06, eta: 1:18:38, time: 0.499, data_time: 0.323, memory: 52403, decode.loss_ce: 0.1982, decode.acc_seg: 91.7635, loss: 0.1982 +2023-03-04 14:58:57,281 - mmseg - INFO - Iter [56100/80000] lr: 4.687e-06, eta: 1:18:28, time: 0.179, data_time: 0.007, memory: 52403, decode.loss_ce: 0.1913, decode.acc_seg: 92.0597, loss: 0.1913 +2023-03-04 14:59:06,181 - mmseg - INFO - Iter [56150/80000] lr: 4.687e-06, eta: 1:18:18, time: 0.178, data_time: 0.007, memory: 52403, decode.loss_ce: 0.1942, decode.acc_seg: 91.9999, loss: 0.1942 +2023-03-04 14:59:14,989 - mmseg - INFO - Iter [56200/80000] lr: 4.687e-06, eta: 1:18:07, time: 0.176, data_time: 0.007, memory: 52403, decode.loss_ce: 0.1911, decode.acc_seg: 92.1707, loss: 0.1911 +2023-03-04 14:59:23,818 - mmseg - INFO - Iter [56250/80000] lr: 4.687e-06, eta: 1:17:57, time: 0.177, data_time: 0.007, memory: 52403, decode.loss_ce: 0.1920, decode.acc_seg: 92.1323, loss: 0.1920 +2023-03-04 14:59:32,532 - mmseg - INFO - Iter [56300/80000] lr: 4.687e-06, eta: 1:17:47, time: 0.174, data_time: 0.007, memory: 52403, decode.loss_ce: 0.1941, decode.acc_seg: 91.9610, loss: 0.1941 +2023-03-04 14:59:41,507 - mmseg - INFO - Iter [56350/80000] lr: 4.687e-06, eta: 1:17:36, time: 0.179, data_time: 0.007, memory: 52403, decode.loss_ce: 0.1934, decode.acc_seg: 92.0757, loss: 0.1934 +2023-03-04 14:59:50,630 - mmseg - INFO - Iter [56400/80000] lr: 4.687e-06, eta: 1:17:26, time: 0.183, data_time: 0.007, memory: 52403, decode.loss_ce: 0.1996, decode.acc_seg: 91.9080, loss: 0.1996 +2023-03-04 14:59:59,700 - mmseg - INFO - Iter [56450/80000] lr: 4.687e-06, eta: 1:17:16, time: 0.181, data_time: 0.007, memory: 52403, decode.loss_ce: 0.2002, decode.acc_seg: 91.6807, loss: 0.2002 +2023-03-04 15:00:09,119 - mmseg - INFO - Iter [56500/80000] lr: 4.687e-06, eta: 1:17:06, time: 0.188, data_time: 0.007, memory: 52403, decode.loss_ce: 0.1917, decode.acc_seg: 92.0103, loss: 0.1917 +2023-03-04 15:00:18,454 - mmseg - INFO - Iter [56550/80000] lr: 4.687e-06, eta: 1:16:56, time: 0.187, data_time: 0.007, memory: 52403, decode.loss_ce: 0.2026, decode.acc_seg: 91.6736, loss: 0.2026 +2023-03-04 15:00:29,940 - mmseg - INFO - Iter [56600/80000] lr: 4.687e-06, eta: 1:16:47, time: 0.230, data_time: 0.055, memory: 52403, decode.loss_ce: 0.2026, decode.acc_seg: 91.6746, loss: 0.2026 +2023-03-04 15:00:39,319 - mmseg - INFO - Iter [56650/80000] lr: 4.687e-06, eta: 1:16:37, time: 0.187, data_time: 0.007, memory: 52403, decode.loss_ce: 0.1962, decode.acc_seg: 91.8731, loss: 0.1962 +2023-03-04 15:00:48,492 - mmseg - INFO - Iter [56700/80000] lr: 4.687e-06, eta: 1:16:26, time: 0.184, data_time: 0.007, memory: 52403, decode.loss_ce: 0.1971, decode.acc_seg: 91.8826, loss: 0.1971 +2023-03-04 15:00:57,562 - mmseg - INFO - Iter [56750/80000] lr: 4.687e-06, eta: 1:16:16, time: 0.181, data_time: 0.007, memory: 52403, decode.loss_ce: 0.1918, decode.acc_seg: 91.9808, loss: 0.1918 +2023-03-04 15:01:07,127 - mmseg - INFO - Iter [56800/80000] lr: 4.687e-06, eta: 1:16:06, time: 0.191, data_time: 0.008, memory: 52403, decode.loss_ce: 0.2012, decode.acc_seg: 91.6468, loss: 0.2012 +2023-03-04 15:01:15,724 - mmseg - INFO - Iter [56850/80000] lr: 4.687e-06, eta: 1:15:56, time: 0.172, data_time: 0.007, memory: 52403, decode.loss_ce: 0.2047, decode.acc_seg: 91.8297, loss: 0.2047 +2023-03-04 15:01:24,742 - mmseg - INFO - Iter [56900/80000] lr: 4.687e-06, eta: 1:15:46, time: 0.180, data_time: 0.007, memory: 52403, decode.loss_ce: 0.2057, decode.acc_seg: 91.5130, loss: 0.2057 +2023-03-04 15:01:34,312 - mmseg - INFO - Iter [56950/80000] lr: 4.687e-06, eta: 1:15:36, time: 0.191, data_time: 0.007, memory: 52403, decode.loss_ce: 0.1943, decode.acc_seg: 92.0440, loss: 0.1943 +2023-03-04 15:01:42,969 - mmseg - INFO - Exp name: ablation_segformer_mit_b2_segformer_head_unet_fc_single_step_ade_pretrained_freeze_embed_80k_ade20k151_mask.py +2023-03-04 15:01:42,970 - mmseg - INFO - Iter [57000/80000] lr: 4.687e-06, eta: 1:15:25, time: 0.173, data_time: 0.007, memory: 52403, decode.loss_ce: 0.1977, decode.acc_seg: 91.9632, loss: 0.1977 +2023-03-04 15:01:52,645 - mmseg - INFO - Iter [57050/80000] lr: 4.687e-06, eta: 1:15:15, time: 0.193, data_time: 0.007, memory: 52403, decode.loss_ce: 0.1945, decode.acc_seg: 91.8519, loss: 0.1945 +2023-03-04 15:02:01,968 - mmseg - INFO - Iter [57100/80000] lr: 4.687e-06, eta: 1:15:05, time: 0.187, data_time: 0.007, memory: 52403, decode.loss_ce: 0.1939, decode.acc_seg: 92.0523, loss: 0.1939 +2023-03-04 15:02:10,606 - mmseg - INFO - Iter [57150/80000] lr: 4.687e-06, eta: 1:14:55, time: 0.173, data_time: 0.007, memory: 52403, decode.loss_ce: 0.2044, decode.acc_seg: 91.6157, loss: 0.2044 +2023-03-04 15:02:19,461 - mmseg - INFO - Iter [57200/80000] lr: 4.687e-06, eta: 1:14:45, time: 0.177, data_time: 0.007, memory: 52403, decode.loss_ce: 0.1972, decode.acc_seg: 91.8778, loss: 0.1972 +2023-03-04 15:02:30,762 - mmseg - INFO - Iter [57250/80000] lr: 4.687e-06, eta: 1:14:35, time: 0.226, data_time: 0.054, memory: 52403, decode.loss_ce: 0.1970, decode.acc_seg: 91.8851, loss: 0.1970 +2023-03-04 15:02:39,641 - mmseg - INFO - Iter [57300/80000] lr: 4.687e-06, eta: 1:14:25, time: 0.178, data_time: 0.007, memory: 52403, decode.loss_ce: 0.1964, decode.acc_seg: 91.9027, loss: 0.1964 +2023-03-04 15:02:49,080 - mmseg - INFO - Iter [57350/80000] lr: 4.687e-06, eta: 1:14:15, time: 0.189, data_time: 0.007, memory: 52403, decode.loss_ce: 0.1949, decode.acc_seg: 91.9867, loss: 0.1949 +2023-03-04 15:02:58,252 - mmseg - INFO - Iter [57400/80000] lr: 4.687e-06, eta: 1:14:05, time: 0.184, data_time: 0.007, memory: 52403, decode.loss_ce: 0.2010, decode.acc_seg: 91.6197, loss: 0.2010 +2023-03-04 15:03:07,488 - mmseg - INFO - Iter [57450/80000] lr: 4.687e-06, eta: 1:13:55, time: 0.185, data_time: 0.007, memory: 52403, decode.loss_ce: 0.1955, decode.acc_seg: 92.0050, loss: 0.1955 +2023-03-04 15:03:16,715 - mmseg - INFO - Iter [57500/80000] lr: 4.687e-06, eta: 1:13:45, time: 0.184, data_time: 0.007, memory: 52403, decode.loss_ce: 0.1957, decode.acc_seg: 91.7440, loss: 0.1957 +2023-03-04 15:03:25,944 - mmseg - INFO - Iter [57550/80000] lr: 4.687e-06, eta: 1:13:35, time: 0.185, data_time: 0.007, memory: 52403, decode.loss_ce: 0.1880, decode.acc_seg: 92.3199, loss: 0.1880 +2023-03-04 15:03:34,734 - mmseg - INFO - Iter [57600/80000] lr: 4.687e-06, eta: 1:13:24, time: 0.176, data_time: 0.007, memory: 52403, decode.loss_ce: 0.2010, decode.acc_seg: 91.6774, loss: 0.2010 +2023-03-04 15:03:43,600 - mmseg - INFO - Iter [57650/80000] lr: 4.687e-06, eta: 1:13:14, time: 0.177, data_time: 0.007, memory: 52403, decode.loss_ce: 0.1954, decode.acc_seg: 91.9330, loss: 0.1954 +2023-03-04 15:03:52,603 - mmseg - INFO - Iter [57700/80000] lr: 4.687e-06, eta: 1:13:04, time: 0.180, data_time: 0.007, memory: 52403, decode.loss_ce: 0.1977, decode.acc_seg: 91.8559, loss: 0.1977 +2023-03-04 15:04:01,511 - mmseg - INFO - Iter [57750/80000] lr: 4.687e-06, eta: 1:12:54, time: 0.178, data_time: 0.007, memory: 52403, decode.loss_ce: 0.2015, decode.acc_seg: 91.7882, loss: 0.2015 +2023-03-04 15:04:10,492 - mmseg - INFO - Iter [57800/80000] lr: 4.687e-06, eta: 1:12:43, time: 0.180, data_time: 0.007, memory: 52403, decode.loss_ce: 0.1941, decode.acc_seg: 91.9639, loss: 0.1941 +2023-03-04 15:04:22,003 - mmseg - INFO - Iter [57850/80000] lr: 4.687e-06, eta: 1:12:34, time: 0.230, data_time: 0.056, memory: 52403, decode.loss_ce: 0.1984, decode.acc_seg: 91.8660, loss: 0.1984 +2023-03-04 15:04:31,268 - mmseg - INFO - Iter [57900/80000] lr: 4.687e-06, eta: 1:12:24, time: 0.185, data_time: 0.007, memory: 52403, decode.loss_ce: 0.1968, decode.acc_seg: 91.8914, loss: 0.1968 +2023-03-04 15:04:39,922 - mmseg - INFO - Iter [57950/80000] lr: 4.687e-06, eta: 1:12:14, time: 0.173, data_time: 0.007, memory: 52403, decode.loss_ce: 0.1917, decode.acc_seg: 92.1951, loss: 0.1917 +2023-03-04 15:04:49,429 - mmseg - INFO - Exp name: ablation_segformer_mit_b2_segformer_head_unet_fc_single_step_ade_pretrained_freeze_embed_80k_ade20k151_mask.py +2023-03-04 15:04:49,429 - mmseg - INFO - Iter [58000/80000] lr: 4.687e-06, eta: 1:12:04, time: 0.190, data_time: 0.007, memory: 52403, decode.loss_ce: 0.1950, decode.acc_seg: 91.8844, loss: 0.1950 +2023-03-04 15:04:58,264 - mmseg - INFO - Iter [58050/80000] lr: 4.687e-06, eta: 1:11:54, time: 0.176, data_time: 0.007, memory: 52403, decode.loss_ce: 0.2003, decode.acc_seg: 91.6392, loss: 0.2003 +2023-03-04 15:05:07,125 - mmseg - INFO - Iter [58100/80000] lr: 4.687e-06, eta: 1:11:43, time: 0.177, data_time: 0.007, memory: 52403, decode.loss_ce: 0.1989, decode.acc_seg: 91.6767, loss: 0.1989 +2023-03-04 15:05:16,486 - mmseg - INFO - Iter [58150/80000] lr: 4.687e-06, eta: 1:11:33, time: 0.187, data_time: 0.007, memory: 52403, decode.loss_ce: 0.1986, decode.acc_seg: 91.8657, loss: 0.1986 +2023-03-04 15:05:25,186 - mmseg - INFO - Iter [58200/80000] lr: 4.687e-06, eta: 1:11:23, time: 0.174, data_time: 0.007, memory: 52403, decode.loss_ce: 0.1959, decode.acc_seg: 92.0501, loss: 0.1959 +2023-03-04 15:05:33,852 - mmseg - INFO - Iter [58250/80000] lr: 4.687e-06, eta: 1:11:13, time: 0.174, data_time: 0.007, memory: 52403, decode.loss_ce: 0.1898, decode.acc_seg: 92.1128, loss: 0.1898 +2023-03-04 15:05:43,156 - mmseg - INFO - Iter [58300/80000] lr: 4.687e-06, eta: 1:11:03, time: 0.186, data_time: 0.007, memory: 52403, decode.loss_ce: 0.1938, decode.acc_seg: 91.9682, loss: 0.1938 +2023-03-04 15:05:52,007 - mmseg - INFO - Iter [58350/80000] lr: 4.687e-06, eta: 1:10:52, time: 0.177, data_time: 0.007, memory: 52403, decode.loss_ce: 0.1988, decode.acc_seg: 91.7912, loss: 0.1988 +2023-03-04 15:06:01,390 - mmseg - INFO - Iter [58400/80000] lr: 4.687e-06, eta: 1:10:42, time: 0.188, data_time: 0.007, memory: 52403, decode.loss_ce: 0.1941, decode.acc_seg: 92.1345, loss: 0.1941 +2023-03-04 15:06:10,252 - mmseg - INFO - Iter [58450/80000] lr: 4.687e-06, eta: 1:10:32, time: 0.178, data_time: 0.007, memory: 52403, decode.loss_ce: 0.1959, decode.acc_seg: 91.7909, loss: 0.1959 +2023-03-04 15:06:22,063 - mmseg - INFO - Iter [58500/80000] lr: 4.687e-06, eta: 1:10:23, time: 0.236, data_time: 0.054, memory: 52403, decode.loss_ce: 0.1929, decode.acc_seg: 92.0834, loss: 0.1929 +2023-03-04 15:06:31,027 - mmseg - INFO - Iter [58550/80000] lr: 4.687e-06, eta: 1:10:13, time: 0.179, data_time: 0.007, memory: 52403, decode.loss_ce: 0.1906, decode.acc_seg: 92.1603, loss: 0.1906 +2023-03-04 15:06:40,381 - mmseg - INFO - Iter [58600/80000] lr: 4.687e-06, eta: 1:10:03, time: 0.187, data_time: 0.007, memory: 52403, decode.loss_ce: 0.2016, decode.acc_seg: 91.9089, loss: 0.2016 +2023-03-04 15:06:49,248 - mmseg - INFO - Iter [58650/80000] lr: 4.687e-06, eta: 1:09:53, time: 0.177, data_time: 0.007, memory: 52403, decode.loss_ce: 0.1894, decode.acc_seg: 92.0515, loss: 0.1894 +2023-03-04 15:06:58,210 - mmseg - INFO - Iter [58700/80000] lr: 4.687e-06, eta: 1:09:43, time: 0.179, data_time: 0.007, memory: 52403, decode.loss_ce: 0.2056, decode.acc_seg: 91.6807, loss: 0.2056 +2023-03-04 15:07:07,097 - mmseg - INFO - Iter [58750/80000] lr: 4.687e-06, eta: 1:09:32, time: 0.178, data_time: 0.007, memory: 52403, decode.loss_ce: 0.1943, decode.acc_seg: 91.9709, loss: 0.1943 +2023-03-04 15:07:15,910 - mmseg - INFO - Iter [58800/80000] lr: 4.687e-06, eta: 1:09:22, time: 0.176, data_time: 0.007, memory: 52403, decode.loss_ce: 0.2084, decode.acc_seg: 91.4700, loss: 0.2084 +2023-03-04 15:07:25,550 - mmseg - INFO - Iter [58850/80000] lr: 4.687e-06, eta: 1:09:12, time: 0.193, data_time: 0.007, memory: 52403, decode.loss_ce: 0.1976, decode.acc_seg: 91.8772, loss: 0.1976 +2023-03-04 15:07:34,613 - mmseg - INFO - Iter [58900/80000] lr: 4.687e-06, eta: 1:09:02, time: 0.181, data_time: 0.007, memory: 52403, decode.loss_ce: 0.1891, decode.acc_seg: 92.1000, loss: 0.1891 +2023-03-04 15:07:43,453 - mmseg - INFO - Iter [58950/80000] lr: 4.687e-06, eta: 1:08:52, time: 0.177, data_time: 0.007, memory: 52403, decode.loss_ce: 0.1987, decode.acc_seg: 91.8302, loss: 0.1987 +2023-03-04 15:07:52,605 - mmseg - INFO - Exp name: ablation_segformer_mit_b2_segformer_head_unet_fc_single_step_ade_pretrained_freeze_embed_80k_ade20k151_mask.py +2023-03-04 15:07:52,605 - mmseg - INFO - Iter [59000/80000] lr: 4.687e-06, eta: 1:08:42, time: 0.183, data_time: 0.007, memory: 52403, decode.loss_ce: 0.1915, decode.acc_seg: 92.0544, loss: 0.1915 +2023-03-04 15:08:01,452 - mmseg - INFO - Iter [59050/80000] lr: 4.687e-06, eta: 1:08:32, time: 0.177, data_time: 0.007, memory: 52403, decode.loss_ce: 0.2059, decode.acc_seg: 91.3898, loss: 0.2059 +2023-03-04 15:08:10,198 - mmseg - INFO - Iter [59100/80000] lr: 4.687e-06, eta: 1:08:21, time: 0.175, data_time: 0.007, memory: 52403, decode.loss_ce: 0.1917, decode.acc_seg: 91.9462, loss: 0.1917 +2023-03-04 15:08:21,926 - mmseg - INFO - Iter [59150/80000] lr: 4.687e-06, eta: 1:08:12, time: 0.235, data_time: 0.055, memory: 52403, decode.loss_ce: 0.2015, decode.acc_seg: 91.7160, loss: 0.2015 +2023-03-04 15:08:30,658 - mmseg - INFO - Iter [59200/80000] lr: 4.687e-06, eta: 1:08:02, time: 0.175, data_time: 0.007, memory: 52403, decode.loss_ce: 0.1938, decode.acc_seg: 92.0856, loss: 0.1938 +2023-03-04 15:08:39,459 - mmseg - INFO - Iter [59250/80000] lr: 4.687e-06, eta: 1:07:52, time: 0.176, data_time: 0.007, memory: 52403, decode.loss_ce: 0.1949, decode.acc_seg: 92.0511, loss: 0.1949 +2023-03-04 15:08:48,153 - mmseg - INFO - Iter [59300/80000] lr: 4.687e-06, eta: 1:07:42, time: 0.174, data_time: 0.007, memory: 52403, decode.loss_ce: 0.1964, decode.acc_seg: 91.8064, loss: 0.1964 +2023-03-04 15:08:56,864 - mmseg - INFO - Iter [59350/80000] lr: 4.687e-06, eta: 1:07:31, time: 0.174, data_time: 0.007, memory: 52403, decode.loss_ce: 0.1917, decode.acc_seg: 92.0908, loss: 0.1917 +2023-03-04 15:09:06,219 - mmseg - INFO - Iter [59400/80000] lr: 4.687e-06, eta: 1:07:21, time: 0.187, data_time: 0.007, memory: 52403, decode.loss_ce: 0.1958, decode.acc_seg: 91.9825, loss: 0.1958 +2023-03-04 15:09:14,931 - mmseg - INFO - Iter [59450/80000] lr: 4.687e-06, eta: 1:07:11, time: 0.174, data_time: 0.007, memory: 52403, decode.loss_ce: 0.2015, decode.acc_seg: 91.6372, loss: 0.2015 +2023-03-04 15:09:23,912 - mmseg - INFO - Iter [59500/80000] lr: 4.687e-06, eta: 1:07:01, time: 0.180, data_time: 0.007, memory: 52403, decode.loss_ce: 0.1881, decode.acc_seg: 92.1102, loss: 0.1881 +2023-03-04 15:09:33,116 - mmseg - INFO - Iter [59550/80000] lr: 4.687e-06, eta: 1:06:51, time: 0.184, data_time: 0.007, memory: 52403, decode.loss_ce: 0.1949, decode.acc_seg: 91.8971, loss: 0.1949 +2023-03-04 15:09:41,905 - mmseg - INFO - Iter [59600/80000] lr: 4.687e-06, eta: 1:06:41, time: 0.176, data_time: 0.007, memory: 52403, decode.loss_ce: 0.1966, decode.acc_seg: 91.9586, loss: 0.1966 +2023-03-04 15:09:50,805 - mmseg - INFO - Iter [59650/80000] lr: 4.687e-06, eta: 1:06:31, time: 0.178, data_time: 0.007, memory: 52403, decode.loss_ce: 0.2058, decode.acc_seg: 91.6082, loss: 0.2058 +2023-03-04 15:09:59,628 - mmseg - INFO - Iter [59700/80000] lr: 4.687e-06, eta: 1:06:20, time: 0.176, data_time: 0.007, memory: 52403, decode.loss_ce: 0.2060, decode.acc_seg: 91.5203, loss: 0.2060 +2023-03-04 15:10:10,721 - mmseg - INFO - Iter [59750/80000] lr: 4.687e-06, eta: 1:06:11, time: 0.222, data_time: 0.054, memory: 52403, decode.loss_ce: 0.1977, decode.acc_seg: 91.7836, loss: 0.1977 +2023-03-04 15:10:19,627 - mmseg - INFO - Iter [59800/80000] lr: 4.687e-06, eta: 1:06:01, time: 0.178, data_time: 0.007, memory: 52403, decode.loss_ce: 0.2025, decode.acc_seg: 91.6022, loss: 0.2025 +2023-03-04 15:10:28,585 - mmseg - INFO - Iter [59850/80000] lr: 4.687e-06, eta: 1:05:51, time: 0.179, data_time: 0.007, memory: 52403, decode.loss_ce: 0.2013, decode.acc_seg: 91.8080, loss: 0.2013 +2023-03-04 15:10:37,469 - mmseg - INFO - Iter [59900/80000] lr: 4.687e-06, eta: 1:05:41, time: 0.178, data_time: 0.007, memory: 52403, decode.loss_ce: 0.1983, decode.acc_seg: 91.9081, loss: 0.1983 +2023-03-04 15:10:46,585 - mmseg - INFO - Iter [59950/80000] lr: 4.687e-06, eta: 1:05:31, time: 0.182, data_time: 0.007, memory: 52403, decode.loss_ce: 0.1977, decode.acc_seg: 91.9200, loss: 0.1977 +2023-03-04 15:10:55,318 - mmseg - INFO - Exp name: ablation_segformer_mit_b2_segformer_head_unet_fc_single_step_ade_pretrained_freeze_embed_80k_ade20k151_mask.py +2023-03-04 15:10:55,318 - mmseg - INFO - Iter [60000/80000] lr: 4.687e-06, eta: 1:05:20, time: 0.175, data_time: 0.007, memory: 52403, decode.loss_ce: 0.1983, decode.acc_seg: 91.8154, loss: 0.1983 +2023-03-04 15:11:04,505 - mmseg - INFO - Iter [60050/80000] lr: 2.344e-06, eta: 1:05:10, time: 0.184, data_time: 0.007, memory: 52403, decode.loss_ce: 0.1916, decode.acc_seg: 92.1618, loss: 0.1916 +2023-03-04 15:11:14,068 - mmseg - INFO - Iter [60100/80000] lr: 2.344e-06, eta: 1:05:00, time: 0.191, data_time: 0.007, memory: 52403, decode.loss_ce: 0.2065, decode.acc_seg: 91.4942, loss: 0.2065 +2023-03-04 15:11:23,206 - mmseg - INFO - Iter [60150/80000] lr: 2.344e-06, eta: 1:04:50, time: 0.183, data_time: 0.007, memory: 52403, decode.loss_ce: 0.1982, decode.acc_seg: 91.7589, loss: 0.1982 +2023-03-04 15:11:32,329 - mmseg - INFO - Iter [60200/80000] lr: 2.344e-06, eta: 1:04:40, time: 0.182, data_time: 0.007, memory: 52403, decode.loss_ce: 0.1948, decode.acc_seg: 91.9291, loss: 0.1948 +2023-03-04 15:11:41,634 - mmseg - INFO - Iter [60250/80000] lr: 2.344e-06, eta: 1:04:30, time: 0.186, data_time: 0.007, memory: 52403, decode.loss_ce: 0.2021, decode.acc_seg: 91.7530, loss: 0.2021 +2023-03-04 15:11:50,423 - mmseg - INFO - Iter [60300/80000] lr: 2.344e-06, eta: 1:04:20, time: 0.176, data_time: 0.007, memory: 52403, decode.loss_ce: 0.1887, decode.acc_seg: 92.2650, loss: 0.1887 +2023-03-04 15:11:59,362 - mmseg - INFO - Iter [60350/80000] lr: 2.344e-06, eta: 1:04:10, time: 0.179, data_time: 0.007, memory: 52403, decode.loss_ce: 0.2131, decode.acc_seg: 91.4515, loss: 0.2131 +2023-03-04 15:12:10,436 - mmseg - INFO - Iter [60400/80000] lr: 2.344e-06, eta: 1:04:01, time: 0.221, data_time: 0.053, memory: 52403, decode.loss_ce: 0.2018, decode.acc_seg: 91.6678, loss: 0.2018 +2023-03-04 15:12:19,115 - mmseg - INFO - Iter [60450/80000] lr: 2.344e-06, eta: 1:03:50, time: 0.174, data_time: 0.007, memory: 52403, decode.loss_ce: 0.1984, decode.acc_seg: 91.7742, loss: 0.1984 +2023-03-04 15:12:27,997 - mmseg - INFO - Iter [60500/80000] lr: 2.344e-06, eta: 1:03:40, time: 0.177, data_time: 0.007, memory: 52403, decode.loss_ce: 0.1915, decode.acc_seg: 92.0684, loss: 0.1915 +2023-03-04 15:12:36,934 - mmseg - INFO - Iter [60550/80000] lr: 2.344e-06, eta: 1:03:30, time: 0.179, data_time: 0.007, memory: 52403, decode.loss_ce: 0.1972, decode.acc_seg: 91.8970, loss: 0.1972 +2023-03-04 15:12:46,075 - mmseg - INFO - Iter [60600/80000] lr: 2.344e-06, eta: 1:03:20, time: 0.183, data_time: 0.007, memory: 52403, decode.loss_ce: 0.1930, decode.acc_seg: 92.1893, loss: 0.1930 +2023-03-04 15:12:54,929 - mmseg - INFO - Iter [60650/80000] lr: 2.344e-06, eta: 1:03:10, time: 0.177, data_time: 0.007, memory: 52403, decode.loss_ce: 0.1966, decode.acc_seg: 91.7920, loss: 0.1966 +2023-03-04 15:13:03,977 - mmseg - INFO - Iter [60700/80000] lr: 2.344e-06, eta: 1:03:00, time: 0.181, data_time: 0.007, memory: 52403, decode.loss_ce: 0.1976, decode.acc_seg: 91.8699, loss: 0.1976 +2023-03-04 15:13:12,762 - mmseg - INFO - Iter [60750/80000] lr: 2.344e-06, eta: 1:02:50, time: 0.176, data_time: 0.007, memory: 52403, decode.loss_ce: 0.1994, decode.acc_seg: 91.8234, loss: 0.1994 +2023-03-04 15:13:21,556 - mmseg - INFO - Iter [60800/80000] lr: 2.344e-06, eta: 1:02:40, time: 0.176, data_time: 0.007, memory: 52403, decode.loss_ce: 0.1920, decode.acc_seg: 92.0599, loss: 0.1920 +2023-03-04 15:13:30,649 - mmseg - INFO - Iter [60850/80000] lr: 2.344e-06, eta: 1:02:30, time: 0.182, data_time: 0.007, memory: 52403, decode.loss_ce: 0.1902, decode.acc_seg: 92.0594, loss: 0.1902 +2023-03-04 15:13:39,420 - mmseg - INFO - Iter [60900/80000] lr: 2.344e-06, eta: 1:02:19, time: 0.175, data_time: 0.007, memory: 52403, decode.loss_ce: 0.1936, decode.acc_seg: 92.0053, loss: 0.1936 +2023-03-04 15:13:48,636 - mmseg - INFO - Iter [60950/80000] lr: 2.344e-06, eta: 1:02:09, time: 0.184, data_time: 0.007, memory: 52403, decode.loss_ce: 0.1923, decode.acc_seg: 92.0288, loss: 0.1923 +2023-03-04 15:13:57,401 - mmseg - INFO - Exp name: ablation_segformer_mit_b2_segformer_head_unet_fc_single_step_ade_pretrained_freeze_embed_80k_ade20k151_mask.py +2023-03-04 15:13:57,401 - mmseg - INFO - Iter [61000/80000] lr: 2.344e-06, eta: 1:01:59, time: 0.175, data_time: 0.007, memory: 52403, decode.loss_ce: 0.2002, decode.acc_seg: 91.7993, loss: 0.2002 +2023-03-04 15:14:08,890 - mmseg - INFO - Iter [61050/80000] lr: 2.344e-06, eta: 1:01:50, time: 0.230, data_time: 0.057, memory: 52403, decode.loss_ce: 0.1912, decode.acc_seg: 92.1340, loss: 0.1912 +2023-03-04 15:14:17,783 - mmseg - INFO - Iter [61100/80000] lr: 2.344e-06, eta: 1:01:40, time: 0.178, data_time: 0.008, memory: 52403, decode.loss_ce: 0.1961, decode.acc_seg: 91.8639, loss: 0.1961 +2023-03-04 15:14:27,205 - mmseg - INFO - Iter [61150/80000] lr: 2.344e-06, eta: 1:01:30, time: 0.188, data_time: 0.007, memory: 52403, decode.loss_ce: 0.2016, decode.acc_seg: 91.6063, loss: 0.2016 +2023-03-04 15:14:35,856 - mmseg - INFO - Iter [61200/80000] lr: 2.344e-06, eta: 1:01:20, time: 0.173, data_time: 0.007, memory: 52403, decode.loss_ce: 0.1958, decode.acc_seg: 92.0088, loss: 0.1958 +2023-03-04 15:14:45,086 - mmseg - INFO - Iter [61250/80000] lr: 2.344e-06, eta: 1:01:10, time: 0.185, data_time: 0.007, memory: 52403, decode.loss_ce: 0.1998, decode.acc_seg: 91.6328, loss: 0.1998 +2023-03-04 15:14:54,219 - mmseg - INFO - Iter [61300/80000] lr: 2.344e-06, eta: 1:01:00, time: 0.182, data_time: 0.007, memory: 52403, decode.loss_ce: 0.1962, decode.acc_seg: 92.0871, loss: 0.1962 +2023-03-04 15:15:02,967 - mmseg - INFO - Iter [61350/80000] lr: 2.344e-06, eta: 1:00:50, time: 0.175, data_time: 0.007, memory: 52403, decode.loss_ce: 0.1996, decode.acc_seg: 91.8946, loss: 0.1996 +2023-03-04 15:15:11,815 - mmseg - INFO - Iter [61400/80000] lr: 2.344e-06, eta: 1:00:40, time: 0.177, data_time: 0.007, memory: 52403, decode.loss_ce: 0.2031, decode.acc_seg: 91.8500, loss: 0.2031 +2023-03-04 15:15:20,731 - mmseg - INFO - Iter [61450/80000] lr: 2.344e-06, eta: 1:00:30, time: 0.178, data_time: 0.007, memory: 52403, decode.loss_ce: 0.1861, decode.acc_seg: 92.3165, loss: 0.1861 +2023-03-04 15:15:29,428 - mmseg - INFO - Iter [61500/80000] lr: 2.344e-06, eta: 1:00:19, time: 0.174, data_time: 0.007, memory: 52403, decode.loss_ce: 0.1942, decode.acc_seg: 92.1502, loss: 0.1942 +2023-03-04 15:15:38,244 - mmseg - INFO - Iter [61550/80000] lr: 2.344e-06, eta: 1:00:09, time: 0.176, data_time: 0.007, memory: 52403, decode.loss_ce: 0.1985, decode.acc_seg: 91.8104, loss: 0.1985 +2023-03-04 15:15:47,309 - mmseg - INFO - Iter [61600/80000] lr: 2.344e-06, eta: 0:59:59, time: 0.181, data_time: 0.007, memory: 52403, decode.loss_ce: 0.1944, decode.acc_seg: 91.8467, loss: 0.1944 +2023-03-04 15:15:59,204 - mmseg - INFO - Iter [61650/80000] lr: 2.344e-06, eta: 0:59:50, time: 0.238, data_time: 0.053, memory: 52403, decode.loss_ce: 0.1936, decode.acc_seg: 92.0122, loss: 0.1936 +2023-03-04 15:16:08,103 - mmseg - INFO - Iter [61700/80000] lr: 2.344e-06, eta: 0:59:40, time: 0.178, data_time: 0.007, memory: 52403, decode.loss_ce: 0.1887, decode.acc_seg: 92.1572, loss: 0.1887 +2023-03-04 15:16:17,089 - mmseg - INFO - Iter [61750/80000] lr: 2.344e-06, eta: 0:59:30, time: 0.180, data_time: 0.007, memory: 52403, decode.loss_ce: 0.2022, decode.acc_seg: 91.7443, loss: 0.2022 +2023-03-04 15:16:25,785 - mmseg - INFO - Iter [61800/80000] lr: 2.344e-06, eta: 0:59:20, time: 0.174, data_time: 0.007, memory: 52403, decode.loss_ce: 0.2090, decode.acc_seg: 91.7355, loss: 0.2090 +2023-03-04 15:16:34,823 - mmseg - INFO - Iter [61850/80000] lr: 2.344e-06, eta: 0:59:10, time: 0.181, data_time: 0.007, memory: 52403, decode.loss_ce: 0.1995, decode.acc_seg: 91.8579, loss: 0.1995 +2023-03-04 15:16:43,718 - mmseg - INFO - Iter [61900/80000] lr: 2.344e-06, eta: 0:59:00, time: 0.178, data_time: 0.007, memory: 52403, decode.loss_ce: 0.1911, decode.acc_seg: 92.1614, loss: 0.1911 +2023-03-04 15:16:52,665 - mmseg - INFO - Iter [61950/80000] lr: 2.344e-06, eta: 0:58:50, time: 0.179, data_time: 0.007, memory: 52403, decode.loss_ce: 0.2040, decode.acc_seg: 91.5543, loss: 0.2040 +2023-03-04 15:17:01,664 - mmseg - INFO - Exp name: ablation_segformer_mit_b2_segformer_head_unet_fc_single_step_ade_pretrained_freeze_embed_80k_ade20k151_mask.py +2023-03-04 15:17:01,664 - mmseg - INFO - Iter [62000/80000] lr: 2.344e-06, eta: 0:58:40, time: 0.180, data_time: 0.007, memory: 52403, decode.loss_ce: 0.1968, decode.acc_seg: 91.9254, loss: 0.1968 +2023-03-04 15:17:10,487 - mmseg - INFO - Iter [62050/80000] lr: 2.344e-06, eta: 0:58:30, time: 0.176, data_time: 0.007, memory: 52403, decode.loss_ce: 0.1968, decode.acc_seg: 92.0590, loss: 0.1968 +2023-03-04 15:17:19,343 - mmseg - INFO - Iter [62100/80000] lr: 2.344e-06, eta: 0:58:19, time: 0.177, data_time: 0.007, memory: 52403, decode.loss_ce: 0.1906, decode.acc_seg: 92.1813, loss: 0.1906 +2023-03-04 15:17:28,276 - mmseg - INFO - Iter [62150/80000] lr: 2.344e-06, eta: 0:58:09, time: 0.179, data_time: 0.007, memory: 52403, decode.loss_ce: 0.2036, decode.acc_seg: 91.6570, loss: 0.2036 +2023-03-04 15:17:37,143 - mmseg - INFO - Iter [62200/80000] lr: 2.344e-06, eta: 0:57:59, time: 0.177, data_time: 0.007, memory: 52403, decode.loss_ce: 0.1975, decode.acc_seg: 91.7876, loss: 0.1975 +2023-03-04 15:17:45,864 - mmseg - INFO - Iter [62250/80000] lr: 2.344e-06, eta: 0:57:49, time: 0.174, data_time: 0.007, memory: 52403, decode.loss_ce: 0.1974, decode.acc_seg: 91.8289, loss: 0.1974 +2023-03-04 15:17:57,473 - mmseg - INFO - Iter [62300/80000] lr: 2.344e-06, eta: 0:57:40, time: 0.232, data_time: 0.054, memory: 52403, decode.loss_ce: 0.1950, decode.acc_seg: 91.9149, loss: 0.1950 +2023-03-04 15:18:06,352 - mmseg - INFO - Iter [62350/80000] lr: 2.344e-06, eta: 0:57:30, time: 0.178, data_time: 0.007, memory: 52403, decode.loss_ce: 0.1967, decode.acc_seg: 92.0024, loss: 0.1967 +2023-03-04 15:18:15,253 - mmseg - INFO - Iter [62400/80000] lr: 2.344e-06, eta: 0:57:20, time: 0.178, data_time: 0.007, memory: 52403, decode.loss_ce: 0.1975, decode.acc_seg: 91.9701, loss: 0.1975 +2023-03-04 15:18:24,438 - mmseg - INFO - Iter [62450/80000] lr: 2.344e-06, eta: 0:57:10, time: 0.184, data_time: 0.007, memory: 52403, decode.loss_ce: 0.1997, decode.acc_seg: 91.9353, loss: 0.1997 +2023-03-04 15:18:33,401 - mmseg - INFO - Iter [62500/80000] lr: 2.344e-06, eta: 0:57:00, time: 0.179, data_time: 0.007, memory: 52403, decode.loss_ce: 0.1933, decode.acc_seg: 92.0480, loss: 0.1933 +2023-03-04 15:18:42,559 - mmseg - INFO - Iter [62550/80000] lr: 2.344e-06, eta: 0:56:50, time: 0.183, data_time: 0.007, memory: 52403, decode.loss_ce: 0.1937, decode.acc_seg: 91.9317, loss: 0.1937 +2023-03-04 15:18:51,483 - mmseg - INFO - Iter [62600/80000] lr: 2.344e-06, eta: 0:56:40, time: 0.178, data_time: 0.007, memory: 52403, decode.loss_ce: 0.1976, decode.acc_seg: 91.8396, loss: 0.1976 +2023-03-04 15:19:00,332 - mmseg - INFO - Iter [62650/80000] lr: 2.344e-06, eta: 0:56:30, time: 0.177, data_time: 0.007, memory: 52403, decode.loss_ce: 0.1930, decode.acc_seg: 91.9913, loss: 0.1930 +2023-03-04 15:19:08,986 - mmseg - INFO - Iter [62700/80000] lr: 2.344e-06, eta: 0:56:20, time: 0.173, data_time: 0.007, memory: 52403, decode.loss_ce: 0.1951, decode.acc_seg: 91.8826, loss: 0.1951 +2023-03-04 15:19:18,157 - mmseg - INFO - Iter [62750/80000] lr: 2.344e-06, eta: 0:56:10, time: 0.184, data_time: 0.007, memory: 52403, decode.loss_ce: 0.1976, decode.acc_seg: 91.9118, loss: 0.1976 +2023-03-04 15:19:27,122 - mmseg - INFO - Iter [62800/80000] lr: 2.344e-06, eta: 0:56:00, time: 0.179, data_time: 0.007, memory: 52403, decode.loss_ce: 0.2081, decode.acc_seg: 91.4979, loss: 0.2081 +2023-03-04 15:19:36,260 - mmseg - INFO - Iter [62850/80000] lr: 2.344e-06, eta: 0:55:50, time: 0.183, data_time: 0.007, memory: 52403, decode.loss_ce: 0.2020, decode.acc_seg: 91.8199, loss: 0.2020 +2023-03-04 15:19:47,518 - mmseg - INFO - Iter [62900/80000] lr: 2.344e-06, eta: 0:55:40, time: 0.225, data_time: 0.054, memory: 52403, decode.loss_ce: 0.1960, decode.acc_seg: 91.9890, loss: 0.1960 +2023-03-04 15:19:56,269 - mmseg - INFO - Iter [62950/80000] lr: 2.344e-06, eta: 0:55:30, time: 0.175, data_time: 0.007, memory: 52403, decode.loss_ce: 0.2005, decode.acc_seg: 91.8616, loss: 0.2005 +2023-03-04 15:20:05,251 - mmseg - INFO - Exp name: ablation_segformer_mit_b2_segformer_head_unet_fc_single_step_ade_pretrained_freeze_embed_80k_ade20k151_mask.py +2023-03-04 15:20:05,251 - mmseg - INFO - Iter [63000/80000] lr: 2.344e-06, eta: 0:55:20, time: 0.179, data_time: 0.007, memory: 52403, decode.loss_ce: 0.1969, decode.acc_seg: 91.9375, loss: 0.1969 +2023-03-04 15:20:14,322 - mmseg - INFO - Iter [63050/80000] lr: 2.344e-06, eta: 0:55:10, time: 0.182, data_time: 0.007, memory: 52403, decode.loss_ce: 0.2033, decode.acc_seg: 91.6623, loss: 0.2033 +2023-03-04 15:20:23,155 - mmseg - INFO - Iter [63100/80000] lr: 2.344e-06, eta: 0:55:00, time: 0.177, data_time: 0.007, memory: 52403, decode.loss_ce: 0.2014, decode.acc_seg: 91.8395, loss: 0.2014 +2023-03-04 15:20:32,241 - mmseg - INFO - Iter [63150/80000] lr: 2.344e-06, eta: 0:54:50, time: 0.182, data_time: 0.007, memory: 52403, decode.loss_ce: 0.1959, decode.acc_seg: 91.7701, loss: 0.1959 +2023-03-04 15:20:41,268 - mmseg - INFO - Iter [63200/80000] lr: 2.344e-06, eta: 0:54:40, time: 0.180, data_time: 0.007, memory: 52403, decode.loss_ce: 0.1950, decode.acc_seg: 91.8968, loss: 0.1950 +2023-03-04 15:20:50,040 - mmseg - INFO - Iter [63250/80000] lr: 2.344e-06, eta: 0:54:30, time: 0.176, data_time: 0.007, memory: 52403, decode.loss_ce: 0.1922, decode.acc_seg: 92.0469, loss: 0.1922 +2023-03-04 15:20:58,867 - mmseg - INFO - Iter [63300/80000] lr: 2.344e-06, eta: 0:54:20, time: 0.176, data_time: 0.007, memory: 52403, decode.loss_ce: 0.2061, decode.acc_seg: 91.6854, loss: 0.2061 +2023-03-04 15:21:07,779 - mmseg - INFO - Iter [63350/80000] lr: 2.344e-06, eta: 0:54:10, time: 0.178, data_time: 0.007, memory: 52403, decode.loss_ce: 0.2040, decode.acc_seg: 91.6771, loss: 0.2040 +2023-03-04 15:21:16,468 - mmseg - INFO - Iter [63400/80000] lr: 2.344e-06, eta: 0:54:00, time: 0.173, data_time: 0.007, memory: 52403, decode.loss_ce: 0.2007, decode.acc_seg: 91.8621, loss: 0.2007 +2023-03-04 15:21:25,424 - mmseg - INFO - Iter [63450/80000] lr: 2.344e-06, eta: 0:53:50, time: 0.179, data_time: 0.007, memory: 52403, decode.loss_ce: 0.1893, decode.acc_seg: 92.1971, loss: 0.1893 +2023-03-04 15:21:34,451 - mmseg - INFO - Iter [63500/80000] lr: 2.344e-06, eta: 0:53:40, time: 0.180, data_time: 0.007, memory: 52403, decode.loss_ce: 0.1957, decode.acc_seg: 91.8989, loss: 0.1957 +2023-03-04 15:21:46,289 - mmseg - INFO - Iter [63550/80000] lr: 2.344e-06, eta: 0:53:31, time: 0.237, data_time: 0.054, memory: 52403, decode.loss_ce: 0.1954, decode.acc_seg: 91.9339, loss: 0.1954 +2023-03-04 15:21:55,296 - mmseg - INFO - Iter [63600/80000] lr: 2.344e-06, eta: 0:53:21, time: 0.180, data_time: 0.007, memory: 52403, decode.loss_ce: 0.2024, decode.acc_seg: 91.6399, loss: 0.2024 +2023-03-04 15:22:04,039 - mmseg - INFO - Iter [63650/80000] lr: 2.344e-06, eta: 0:53:11, time: 0.175, data_time: 0.007, memory: 52403, decode.loss_ce: 0.1919, decode.acc_seg: 91.9324, loss: 0.1919 +2023-03-04 15:22:13,035 - mmseg - INFO - Iter [63700/80000] lr: 2.344e-06, eta: 0:53:01, time: 0.180, data_time: 0.007, memory: 52403, decode.loss_ce: 0.2009, decode.acc_seg: 92.0115, loss: 0.2009 +2023-03-04 15:22:21,764 - mmseg - INFO - Iter [63750/80000] lr: 2.344e-06, eta: 0:52:51, time: 0.174, data_time: 0.007, memory: 52403, decode.loss_ce: 0.1994, decode.acc_seg: 91.8073, loss: 0.1994 +2023-03-04 15:22:30,642 - mmseg - INFO - Iter [63800/80000] lr: 2.344e-06, eta: 0:52:41, time: 0.178, data_time: 0.007, memory: 52403, decode.loss_ce: 0.1957, decode.acc_seg: 91.9790, loss: 0.1957 +2023-03-04 15:22:39,685 - mmseg - INFO - Iter [63850/80000] lr: 2.344e-06, eta: 0:52:31, time: 0.181, data_time: 0.007, memory: 52403, decode.loss_ce: 0.1930, decode.acc_seg: 92.0468, loss: 0.1930 +2023-03-04 15:22:48,299 - mmseg - INFO - Iter [63900/80000] lr: 2.344e-06, eta: 0:52:21, time: 0.172, data_time: 0.007, memory: 52403, decode.loss_ce: 0.1943, decode.acc_seg: 92.0357, loss: 0.1943 +2023-03-04 15:22:57,680 - mmseg - INFO - Iter [63950/80000] lr: 2.344e-06, eta: 0:52:11, time: 0.187, data_time: 0.007, memory: 52403, decode.loss_ce: 0.2045, decode.acc_seg: 91.5398, loss: 0.2045 +2023-03-04 15:23:06,836 - mmseg - INFO - Saving checkpoint at 64000 iterations +2023-03-04 15:23:07,543 - mmseg - INFO - Exp name: ablation_segformer_mit_b2_segformer_head_unet_fc_single_step_ade_pretrained_freeze_embed_80k_ade20k151_mask.py +2023-03-04 15:23:07,543 - mmseg - INFO - Iter [64000/80000] lr: 2.344e-06, eta: 0:52:01, time: 0.198, data_time: 0.007, memory: 52403, decode.loss_ce: 0.1972, decode.acc_seg: 91.9728, loss: 0.1972 +2023-03-04 15:23:23,039 - mmseg - INFO - per class results: +2023-03-04 15:23:23,045 - mmseg - INFO - ++---------------------+-------+-------+ +| Class | IoU | Acc | ++---------------------+-------+-------+ +| background | nan | nan | +| wall | 77.16 | 88.83 | +| building | 81.43 | 91.88 | +| sky | 94.37 | 97.45 | +| floor | 81.25 | 91.09 | +| tree | 73.56 | 87.78 | +| ceiling | 84.87 | 93.29 | +| road | 81.91 | 90.12 | +| bed | 87.44 | 95.17 | +| windowpane | 60.1 | 78.0 | +| grass | 66.96 | 83.39 | +| cabinet | 59.55 | 71.88 | +| sidewalk | 63.8 | 79.53 | +| person | 79.11 | 92.03 | +| earth | 35.81 | 49.69 | +| door | 45.37 | 58.49 | +| table | 59.74 | 76.3 | +| mountain | 58.16 | 72.83 | +| plant | 49.15 | 60.1 | +| curtain | 73.72 | 83.99 | +| chair | 55.73 | 68.38 | +| car | 80.73 | 92.39 | +| water | 57.5 | 75.65 | +| painting | 70.22 | 84.85 | +| sofa | 63.08 | 82.15 | +| shelf | 43.05 | 61.06 | +| house | 42.67 | 58.79 | +| sea | 60.11 | 76.83 | +| mirror | 64.7 | 72.92 | +| rug | 64.9 | 73.76 | +| field | 30.85 | 45.0 | +| armchair | 37.18 | 54.01 | +| seat | 66.19 | 82.49 | +| fence | 40.59 | 53.29 | +| desk | 45.56 | 67.37 | +| rock | 37.16 | 60.29 | +| wardrobe | 55.64 | 68.64 | +| lamp | 59.99 | 74.26 | +| bathtub | 73.24 | 80.75 | +| railing | 33.41 | 46.32 | +| cushion | 55.81 | 68.18 | +| base | 20.06 | 24.67 | +| box | 23.28 | 30.62 | +| column | 44.82 | 55.59 | +| signboard | 37.21 | 49.45 | +| chest of drawers | 35.86 | 58.38 | +| counter | 30.62 | 40.15 | +| sand | 42.14 | 58.1 | +| sink | 66.56 | 77.76 | +| skyscraper | 48.98 | 61.8 | +| fireplace | 73.37 | 85.8 | +| refrigerator | 73.29 | 86.22 | +| grandstand | 54.41 | 65.89 | +| path | 22.05 | 29.49 | +| stairs | 33.48 | 41.45 | +| runway | 66.6 | 85.53 | +| case | 47.19 | 58.89 | +| pool table | 91.46 | 94.25 | +| pillow | 60.64 | 71.32 | +| screen door | 67.58 | 73.65 | +| stairway | 23.5 | 35.01 | +| river | 11.88 | 22.09 | +| bridge | 32.51 | 37.38 | +| bookcase | 45.33 | 63.9 | +| blind | 39.81 | 45.8 | +| coffee table | 53.08 | 76.64 | +| toilet | 83.19 | 89.49 | +| flower | 38.15 | 53.01 | +| book | 43.81 | 64.5 | +| hill | 14.76 | 21.43 | +| bench | 42.15 | 55.05 | +| countertop | 52.91 | 70.17 | +| stove | 69.79 | 80.57 | +| palm | 47.75 | 67.18 | +| kitchen island | 39.38 | 61.78 | +| computer | 59.91 | 68.88 | +| swivel chair | 44.79 | 60.27 | +| boat | 68.15 | 83.81 | +| bar | 23.17 | 30.91 | +| arcade machine | 71.76 | 74.65 | +| hovel | 30.64 | 34.15 | +| bus | 78.15 | 90.0 | +| towel | 62.55 | 72.53 | +| light | 51.41 | 56.77 | +| truck | 17.79 | 23.15 | +| tower | 7.0 | 11.21 | +| chandelier | 62.91 | 76.66 | +| awning | 23.12 | 26.34 | +| streetlight | 25.34 | 33.72 | +| booth | 41.1 | 42.41 | +| television receiver | 64.16 | 76.53 | +| airplane | 59.52 | 66.13 | +| dirt track | 19.78 | 47.28 | +| apparel | 33.61 | 53.37 | +| pole | 15.82 | 20.68 | +| land | 4.59 | 6.96 | +| bannister | 11.09 | 15.18 | +| escalator | 23.72 | 25.23 | +| ottoman | 41.58 | 61.88 | +| bottle | 35.9 | 57.3 | +| buffet | 38.51 | 45.18 | +| poster | 23.38 | 33.24 | +| stage | 13.04 | 16.65 | +| van | 37.72 | 53.25 | +| ship | 75.66 | 92.51 | +| fountain | 21.07 | 21.49 | +| conveyer belt | 85.21 | 90.28 | +| canopy | 23.1 | 24.84 | +| washer | 78.65 | 79.76 | +| plaything | 20.84 | 29.73 | +| swimming pool | 70.79 | 80.53 | +| stool | 43.23 | 56.22 | +| barrel | 46.86 | 56.26 | +| basket | 25.81 | 38.52 | +| waterfall | 48.82 | 64.11 | +| tent | 94.4 | 97.56 | +| bag | 14.64 | 18.18 | +| minibike | 61.55 | 72.61 | +| cradle | 83.83 | 96.02 | +| oven | 45.95 | 66.17 | +| ball | 43.46 | 49.88 | +| food | 52.32 | 62.98 | +| step | 3.35 | 3.49 | +| tank | 49.01 | 54.67 | +| trade name | 27.9 | 30.88 | +| microwave | 73.29 | 79.43 | +| pot | 30.53 | 34.81 | +| animal | 53.07 | 59.86 | +| bicycle | 52.94 | 71.5 | +| lake | 57.61 | 63.13 | +| dishwasher | 65.69 | 76.94 | +| screen | 68.05 | 80.18 | +| blanket | 17.36 | 20.28 | +| sculpture | 56.27 | 78.45 | +| hood | 57.61 | 64.62 | +| sconce | 40.98 | 48.69 | +| vase | 36.43 | 49.82 | +| traffic light | 32.21 | 47.45 | +| tray | 6.4 | 9.52 | +| ashcan | 41.78 | 52.74 | +| fan | 57.97 | 69.47 | +| pier | 45.49 | 64.76 | +| crt screen | 8.88 | 23.39 | +| plate | 50.84 | 67.68 | +| monitor | 18.29 | 21.9 | +| bulletin board | 38.59 | 50.8 | +| shower | 1.48 | 5.92 | +| radiator | 60.75 | 68.33 | +| glass | 12.08 | 13.11 | +| clock | 33.32 | 36.7 | +| flag | 34.43 | 38.76 | ++---------------------+-------+-------+ +2023-03-04 15:23:23,045 - mmseg - INFO - Summary: +2023-03-04 15:23:23,045 - mmseg - INFO - ++-------+-------+-------+ +| aAcc | mIoU | mAcc | ++-------+-------+-------+ +| 82.55 | 47.92 | 58.88 | ++-------+-------+-------+ +2023-03-04 15:23:23,066 - mmseg - INFO - The previous best checkpoint /mnt/petrelfs/laizeqiang/mmseg-baseline/work_dirs2/ablation_segformer_mit_b2_segformer_head_unet_fc_single_step_ade_pretrained_freeze_embed_80k_ade20k151_mask/best_mIoU_iter_48000.pth was removed +2023-03-04 15:23:23,646 - mmseg - INFO - Now best checkpoint is saved as best_mIoU_iter_64000.pth. +2023-03-04 15:23:23,646 - mmseg - INFO - Best mIoU is 0.4792 at 64000 iter. +2023-03-04 15:23:23,646 - mmseg - INFO - Exp name: ablation_segformer_mit_b2_segformer_head_unet_fc_single_step_ade_pretrained_freeze_embed_80k_ade20k151_mask.py +2023-03-04 15:23:23,647 - mmseg - INFO - Iter(val) [250] aAcc: 0.8255, mIoU: 0.4792, mAcc: 0.5888, IoU.background: nan, IoU.wall: 0.7716, IoU.building: 0.8143, IoU.sky: 0.9437, IoU.floor: 0.8125, IoU.tree: 0.7356, IoU.ceiling: 0.8487, IoU.road: 0.8191, IoU.bed : 0.8744, IoU.windowpane: 0.6010, IoU.grass: 0.6696, IoU.cabinet: 0.5955, IoU.sidewalk: 0.6380, IoU.person: 0.7911, IoU.earth: 0.3581, IoU.door: 0.4537, IoU.table: 0.5974, IoU.mountain: 0.5816, IoU.plant: 0.4915, IoU.curtain: 0.7372, IoU.chair: 0.5573, IoU.car: 0.8073, IoU.water: 0.5750, IoU.painting: 0.7022, IoU.sofa: 0.6308, IoU.shelf: 0.4305, IoU.house: 0.4267, IoU.sea: 0.6011, IoU.mirror: 0.6470, IoU.rug: 0.6490, IoU.field: 0.3085, IoU.armchair: 0.3718, IoU.seat: 0.6619, IoU.fence: 0.4059, IoU.desk: 0.4556, IoU.rock: 0.3716, IoU.wardrobe: 0.5564, IoU.lamp: 0.5999, IoU.bathtub: 0.7324, IoU.railing: 0.3341, IoU.cushion: 0.5581, IoU.base: 0.2006, IoU.box: 0.2328, IoU.column: 0.4482, IoU.signboard: 0.3721, IoU.chest of drawers: 0.3586, IoU.counter: 0.3062, IoU.sand: 0.4214, IoU.sink: 0.6656, IoU.skyscraper: 0.4898, IoU.fireplace: 0.7337, IoU.refrigerator: 0.7329, IoU.grandstand: 0.5441, IoU.path: 0.2205, IoU.stairs: 0.3348, IoU.runway: 0.6660, IoU.case: 0.4719, IoU.pool table: 0.9146, IoU.pillow: 0.6064, IoU.screen door: 0.6758, IoU.stairway: 0.2350, IoU.river: 0.1188, IoU.bridge: 0.3251, IoU.bookcase: 0.4533, IoU.blind: 0.3981, IoU.coffee table: 0.5308, IoU.toilet: 0.8319, IoU.flower: 0.3815, IoU.book: 0.4381, IoU.hill: 0.1476, IoU.bench: 0.4215, IoU.countertop: 0.5291, IoU.stove: 0.6979, IoU.palm: 0.4775, IoU.kitchen island: 0.3938, IoU.computer: 0.5991, IoU.swivel chair: 0.4479, IoU.boat: 0.6815, IoU.bar: 0.2317, IoU.arcade machine: 0.7176, IoU.hovel: 0.3064, IoU.bus: 0.7815, IoU.towel: 0.6255, IoU.light: 0.5141, IoU.truck: 0.1779, IoU.tower: 0.0700, IoU.chandelier: 0.6291, IoU.awning: 0.2312, IoU.streetlight: 0.2534, IoU.booth: 0.4110, IoU.television receiver: 0.6416, IoU.airplane: 0.5952, IoU.dirt track: 0.1978, IoU.apparel: 0.3361, IoU.pole: 0.1582, IoU.land: 0.0459, IoU.bannister: 0.1109, IoU.escalator: 0.2372, IoU.ottoman: 0.4158, IoU.bottle: 0.3590, IoU.buffet: 0.3851, IoU.poster: 0.2338, IoU.stage: 0.1304, IoU.van: 0.3772, IoU.ship: 0.7566, IoU.fountain: 0.2107, IoU.conveyer belt: 0.8521, IoU.canopy: 0.2310, IoU.washer: 0.7865, IoU.plaything: 0.2084, IoU.swimming pool: 0.7079, IoU.stool: 0.4323, IoU.barrel: 0.4686, IoU.basket: 0.2581, IoU.waterfall: 0.4882, IoU.tent: 0.9440, IoU.bag: 0.1464, IoU.minibike: 0.6155, IoU.cradle: 0.8383, IoU.oven: 0.4595, IoU.ball: 0.4346, IoU.food: 0.5232, IoU.step: 0.0335, IoU.tank: 0.4901, IoU.trade name: 0.2790, IoU.microwave: 0.7329, IoU.pot: 0.3053, IoU.animal: 0.5307, IoU.bicycle: 0.5294, IoU.lake: 0.5761, IoU.dishwasher: 0.6569, IoU.screen: 0.6805, IoU.blanket: 0.1736, IoU.sculpture: 0.5627, IoU.hood: 0.5761, IoU.sconce: 0.4098, IoU.vase: 0.3643, IoU.traffic light: 0.3221, IoU.tray: 0.0640, IoU.ashcan: 0.4178, IoU.fan: 0.5797, IoU.pier: 0.4549, IoU.crt screen: 0.0888, IoU.plate: 0.5084, IoU.monitor: 0.1829, IoU.bulletin board: 0.3859, IoU.shower: 0.0148, IoU.radiator: 0.6075, IoU.glass: 0.1208, IoU.clock: 0.3332, IoU.flag: 0.3443, Acc.background: nan, Acc.wall: 0.8883, Acc.building: 0.9188, Acc.sky: 0.9745, Acc.floor: 0.9109, Acc.tree: 0.8778, Acc.ceiling: 0.9329, Acc.road: 0.9012, Acc.bed : 0.9517, Acc.windowpane: 0.7800, Acc.grass: 0.8339, Acc.cabinet: 0.7188, Acc.sidewalk: 0.7953, Acc.person: 0.9203, Acc.earth: 0.4969, Acc.door: 0.5849, Acc.table: 0.7630, Acc.mountain: 0.7283, Acc.plant: 0.6010, Acc.curtain: 0.8399, Acc.chair: 0.6838, Acc.car: 0.9239, Acc.water: 0.7565, Acc.painting: 0.8485, Acc.sofa: 0.8215, Acc.shelf: 0.6106, Acc.house: 0.5879, Acc.sea: 0.7683, Acc.mirror: 0.7292, Acc.rug: 0.7376, Acc.field: 0.4500, Acc.armchair: 0.5401, Acc.seat: 0.8249, Acc.fence: 0.5329, Acc.desk: 0.6737, Acc.rock: 0.6029, Acc.wardrobe: 0.6864, Acc.lamp: 0.7426, Acc.bathtub: 0.8075, Acc.railing: 0.4632, Acc.cushion: 0.6818, Acc.base: 0.2467, Acc.box: 0.3062, Acc.column: 0.5559, Acc.signboard: 0.4945, Acc.chest of drawers: 0.5838, Acc.counter: 0.4015, Acc.sand: 0.5810, Acc.sink: 0.7776, Acc.skyscraper: 0.6180, Acc.fireplace: 0.8580, Acc.refrigerator: 0.8622, Acc.grandstand: 0.6589, Acc.path: 0.2949, Acc.stairs: 0.4145, Acc.runway: 0.8553, Acc.case: 0.5889, Acc.pool table: 0.9425, Acc.pillow: 0.7132, Acc.screen door: 0.7365, Acc.stairway: 0.3501, Acc.river: 0.2209, Acc.bridge: 0.3738, Acc.bookcase: 0.6390, Acc.blind: 0.4580, Acc.coffee table: 0.7664, Acc.toilet: 0.8949, Acc.flower: 0.5301, Acc.book: 0.6450, Acc.hill: 0.2143, Acc.bench: 0.5505, Acc.countertop: 0.7017, Acc.stove: 0.8057, Acc.palm: 0.6718, Acc.kitchen island: 0.6178, Acc.computer: 0.6888, Acc.swivel chair: 0.6027, Acc.boat: 0.8381, Acc.bar: 0.3091, Acc.arcade machine: 0.7465, Acc.hovel: 0.3415, Acc.bus: 0.9000, Acc.towel: 0.7253, Acc.light: 0.5677, Acc.truck: 0.2315, Acc.tower: 0.1121, Acc.chandelier: 0.7666, Acc.awning: 0.2634, Acc.streetlight: 0.3372, Acc.booth: 0.4241, Acc.television receiver: 0.7653, Acc.airplane: 0.6613, Acc.dirt track: 0.4728, Acc.apparel: 0.5337, Acc.pole: 0.2068, Acc.land: 0.0696, Acc.bannister: 0.1518, Acc.escalator: 0.2523, Acc.ottoman: 0.6188, Acc.bottle: 0.5730, Acc.buffet: 0.4518, Acc.poster: 0.3324, Acc.stage: 0.1665, Acc.van: 0.5325, Acc.ship: 0.9251, Acc.fountain: 0.2149, Acc.conveyer belt: 0.9028, Acc.canopy: 0.2484, Acc.washer: 0.7976, Acc.plaything: 0.2973, Acc.swimming pool: 0.8053, Acc.stool: 0.5622, Acc.barrel: 0.5626, Acc.basket: 0.3852, Acc.waterfall: 0.6411, Acc.tent: 0.9756, Acc.bag: 0.1818, Acc.minibike: 0.7261, Acc.cradle: 0.9602, Acc.oven: 0.6617, Acc.ball: 0.4988, Acc.food: 0.6298, Acc.step: 0.0349, Acc.tank: 0.5467, Acc.trade name: 0.3088, Acc.microwave: 0.7943, Acc.pot: 0.3481, Acc.animal: 0.5986, Acc.bicycle: 0.7150, Acc.lake: 0.6313, Acc.dishwasher: 0.7694, Acc.screen: 0.8018, Acc.blanket: 0.2028, Acc.sculpture: 0.7845, Acc.hood: 0.6462, Acc.sconce: 0.4869, Acc.vase: 0.4982, Acc.traffic light: 0.4745, Acc.tray: 0.0952, Acc.ashcan: 0.5274, Acc.fan: 0.6947, Acc.pier: 0.6476, Acc.crt screen: 0.2339, Acc.plate: 0.6768, Acc.monitor: 0.2190, Acc.bulletin board: 0.5080, Acc.shower: 0.0592, Acc.radiator: 0.6833, Acc.glass: 0.1311, Acc.clock: 0.3670, Acc.flag: 0.3876 +2023-03-04 15:23:32,598 - mmseg - INFO - Iter [64050/80000] lr: 2.344e-06, eta: 0:51:56, time: 0.501, data_time: 0.330, memory: 52403, decode.loss_ce: 0.2039, decode.acc_seg: 91.4850, loss: 0.2039 +2023-03-04 15:23:41,305 - mmseg - INFO - Iter [64100/80000] lr: 2.344e-06, eta: 0:51:46, time: 0.174, data_time: 0.007, memory: 52403, decode.loss_ce: 0.1921, decode.acc_seg: 92.1197, loss: 0.1921 +2023-03-04 15:23:50,279 - mmseg - INFO - Iter [64150/80000] lr: 2.344e-06, eta: 0:51:36, time: 0.179, data_time: 0.007, memory: 52403, decode.loss_ce: 0.2086, decode.acc_seg: 91.5027, loss: 0.2086 +2023-03-04 15:24:01,768 - mmseg - INFO - Iter [64200/80000] lr: 2.344e-06, eta: 0:51:27, time: 0.230, data_time: 0.054, memory: 52403, decode.loss_ce: 0.2024, decode.acc_seg: 91.7649, loss: 0.2024 +2023-03-04 15:24:10,793 - mmseg - INFO - Iter [64250/80000] lr: 2.344e-06, eta: 0:51:17, time: 0.181, data_time: 0.007, memory: 52403, decode.loss_ce: 0.1983, decode.acc_seg: 91.9164, loss: 0.1983 +2023-03-04 15:24:19,666 - mmseg - INFO - Iter [64300/80000] lr: 2.344e-06, eta: 0:51:07, time: 0.177, data_time: 0.007, memory: 52403, decode.loss_ce: 0.1947, decode.acc_seg: 91.9885, loss: 0.1947 +2023-03-04 15:24:28,451 - mmseg - INFO - Iter [64350/80000] lr: 2.344e-06, eta: 0:50:57, time: 0.176, data_time: 0.007, memory: 52403, decode.loss_ce: 0.2022, decode.acc_seg: 91.6464, loss: 0.2022 +2023-03-04 15:24:37,309 - mmseg - INFO - Iter [64400/80000] lr: 2.344e-06, eta: 0:50:46, time: 0.177, data_time: 0.007, memory: 52403, decode.loss_ce: 0.2057, decode.acc_seg: 91.6238, loss: 0.2057 +2023-03-04 15:24:46,267 - mmseg - INFO - Iter [64450/80000] lr: 2.344e-06, eta: 0:50:36, time: 0.179, data_time: 0.007, memory: 52403, decode.loss_ce: 0.1903, decode.acc_seg: 92.2041, loss: 0.1903 +2023-03-04 15:24:55,368 - mmseg - INFO - Iter [64500/80000] lr: 2.344e-06, eta: 0:50:27, time: 0.182, data_time: 0.007, memory: 52403, decode.loss_ce: 0.1973, decode.acc_seg: 92.0502, loss: 0.1973 +2023-03-04 15:25:04,127 - mmseg - INFO - Iter [64550/80000] lr: 2.344e-06, eta: 0:50:17, time: 0.175, data_time: 0.007, memory: 52403, decode.loss_ce: 0.1985, decode.acc_seg: 91.7044, loss: 0.1985 +2023-03-04 15:25:13,168 - mmseg - INFO - Iter [64600/80000] lr: 2.344e-06, eta: 0:50:07, time: 0.181, data_time: 0.007, memory: 52403, decode.loss_ce: 0.1966, decode.acc_seg: 91.7845, loss: 0.1966 +2023-03-04 15:25:22,205 - mmseg - INFO - Iter [64650/80000] lr: 2.344e-06, eta: 0:49:57, time: 0.181, data_time: 0.007, memory: 52403, decode.loss_ce: 0.1994, decode.acc_seg: 91.6908, loss: 0.1994 +2023-03-04 15:25:31,578 - mmseg - INFO - Iter [64700/80000] lr: 2.344e-06, eta: 0:49:47, time: 0.187, data_time: 0.007, memory: 52403, decode.loss_ce: 0.1967, decode.acc_seg: 91.8847, loss: 0.1967 +2023-03-04 15:25:40,441 - mmseg - INFO - Iter [64750/80000] lr: 2.344e-06, eta: 0:49:37, time: 0.177, data_time: 0.007, memory: 52403, decode.loss_ce: 0.1899, decode.acc_seg: 92.1184, loss: 0.1899 +2023-03-04 15:25:51,628 - mmseg - INFO - Iter [64800/80000] lr: 2.344e-06, eta: 0:49:27, time: 0.224, data_time: 0.058, memory: 52403, decode.loss_ce: 0.2011, decode.acc_seg: 91.7857, loss: 0.2011 +2023-03-04 15:26:00,301 - mmseg - INFO - Iter [64850/80000] lr: 2.344e-06, eta: 0:49:17, time: 0.173, data_time: 0.007, memory: 52403, decode.loss_ce: 0.1996, decode.acc_seg: 91.9713, loss: 0.1996 +2023-03-04 15:26:08,870 - mmseg - INFO - Iter [64900/80000] lr: 2.344e-06, eta: 0:49:07, time: 0.171, data_time: 0.007, memory: 52403, decode.loss_ce: 0.1954, decode.acc_seg: 91.9257, loss: 0.1954 +2023-03-04 15:26:18,228 - mmseg - INFO - Iter [64950/80000] lr: 2.344e-06, eta: 0:48:57, time: 0.187, data_time: 0.007, memory: 52403, decode.loss_ce: 0.1856, decode.acc_seg: 92.2563, loss: 0.1856 +2023-03-04 15:26:27,211 - mmseg - INFO - Exp name: ablation_segformer_mit_b2_segformer_head_unet_fc_single_step_ade_pretrained_freeze_embed_80k_ade20k151_mask.py +2023-03-04 15:26:27,211 - mmseg - INFO - Iter [65000/80000] lr: 2.344e-06, eta: 0:48:47, time: 0.180, data_time: 0.007, memory: 52403, decode.loss_ce: 0.2043, decode.acc_seg: 91.6387, loss: 0.2043 +2023-03-04 15:26:36,308 - mmseg - INFO - Iter [65050/80000] lr: 2.344e-06, eta: 0:48:37, time: 0.182, data_time: 0.007, memory: 52403, decode.loss_ce: 0.1981, decode.acc_seg: 91.9785, loss: 0.1981 +2023-03-04 15:26:45,050 - mmseg - INFO - Iter [65100/80000] lr: 2.344e-06, eta: 0:48:27, time: 0.175, data_time: 0.007, memory: 52403, decode.loss_ce: 0.2047, decode.acc_seg: 91.6313, loss: 0.2047 +2023-03-04 15:26:54,559 - mmseg - INFO - Iter [65150/80000] lr: 2.344e-06, eta: 0:48:18, time: 0.190, data_time: 0.008, memory: 52403, decode.loss_ce: 0.2032, decode.acc_seg: 91.7216, loss: 0.2032 +2023-03-04 15:27:03,452 - mmseg - INFO - Iter [65200/80000] lr: 2.344e-06, eta: 0:48:08, time: 0.178, data_time: 0.007, memory: 52403, decode.loss_ce: 0.1989, decode.acc_seg: 91.8719, loss: 0.1989 +2023-03-04 15:27:12,353 - mmseg - INFO - Iter [65250/80000] lr: 2.344e-06, eta: 0:47:58, time: 0.178, data_time: 0.007, memory: 52403, decode.loss_ce: 0.1961, decode.acc_seg: 91.8027, loss: 0.1961 +2023-03-04 15:27:21,349 - mmseg - INFO - Iter [65300/80000] lr: 2.344e-06, eta: 0:47:48, time: 0.180, data_time: 0.007, memory: 52403, decode.loss_ce: 0.1895, decode.acc_seg: 92.2295, loss: 0.1895 +2023-03-04 15:27:30,229 - mmseg - INFO - Iter [65350/80000] lr: 2.344e-06, eta: 0:47:38, time: 0.178, data_time: 0.007, memory: 52403, decode.loss_ce: 0.2023, decode.acc_seg: 91.7319, loss: 0.2023 +2023-03-04 15:27:39,000 - mmseg - INFO - Iter [65400/80000] lr: 2.344e-06, eta: 0:47:28, time: 0.175, data_time: 0.007, memory: 52403, decode.loss_ce: 0.1979, decode.acc_seg: 91.7502, loss: 0.1979 +2023-03-04 15:27:50,295 - mmseg - INFO - Iter [65450/80000] lr: 2.344e-06, eta: 0:47:18, time: 0.226, data_time: 0.055, memory: 52403, decode.loss_ce: 0.1961, decode.acc_seg: 91.9139, loss: 0.1961 +2023-03-04 15:27:59,384 - mmseg - INFO - Iter [65500/80000] lr: 2.344e-06, eta: 0:47:08, time: 0.182, data_time: 0.007, memory: 52403, decode.loss_ce: 0.1969, decode.acc_seg: 91.9380, loss: 0.1969 +2023-03-04 15:28:08,440 - mmseg - INFO - Iter [65550/80000] lr: 2.344e-06, eta: 0:46:58, time: 0.181, data_time: 0.007, memory: 52403, decode.loss_ce: 0.1926, decode.acc_seg: 92.0780, loss: 0.1926 +2023-03-04 15:28:17,556 - mmseg - INFO - Iter [65600/80000] lr: 2.344e-06, eta: 0:46:49, time: 0.182, data_time: 0.007, memory: 52403, decode.loss_ce: 0.1939, decode.acc_seg: 92.0134, loss: 0.1939 +2023-03-04 15:28:26,347 - mmseg - INFO - Iter [65650/80000] lr: 2.344e-06, eta: 0:46:39, time: 0.176, data_time: 0.007, memory: 52403, decode.loss_ce: 0.2012, decode.acc_seg: 91.6824, loss: 0.2012 +2023-03-04 15:28:35,411 - mmseg - INFO - Iter [65700/80000] lr: 2.344e-06, eta: 0:46:29, time: 0.181, data_time: 0.007, memory: 52403, decode.loss_ce: 0.1921, decode.acc_seg: 91.9916, loss: 0.1921 +2023-03-04 15:28:44,315 - mmseg - INFO - Iter [65750/80000] lr: 2.344e-06, eta: 0:46:19, time: 0.178, data_time: 0.007, memory: 52403, decode.loss_ce: 0.1991, decode.acc_seg: 91.8752, loss: 0.1991 +2023-03-04 15:28:53,285 - mmseg - INFO - Iter [65800/80000] lr: 2.344e-06, eta: 0:46:09, time: 0.179, data_time: 0.007, memory: 52403, decode.loss_ce: 0.2010, decode.acc_seg: 91.5752, loss: 0.2010 +2023-03-04 15:29:02,374 - mmseg - INFO - Iter [65850/80000] lr: 2.344e-06, eta: 0:45:59, time: 0.182, data_time: 0.007, memory: 52403, decode.loss_ce: 0.1947, decode.acc_seg: 92.0757, loss: 0.1947 +2023-03-04 15:29:11,461 - mmseg - INFO - Iter [65900/80000] lr: 2.344e-06, eta: 0:45:49, time: 0.182, data_time: 0.007, memory: 52403, decode.loss_ce: 0.1982, decode.acc_seg: 91.9075, loss: 0.1982 +2023-03-04 15:29:20,356 - mmseg - INFO - Iter [65950/80000] lr: 2.344e-06, eta: 0:45:39, time: 0.178, data_time: 0.007, memory: 52403, decode.loss_ce: 0.1977, decode.acc_seg: 91.9991, loss: 0.1977 +2023-03-04 15:29:29,428 - mmseg - INFO - Exp name: ablation_segformer_mit_b2_segformer_head_unet_fc_single_step_ade_pretrained_freeze_embed_80k_ade20k151_mask.py +2023-03-04 15:29:29,428 - mmseg - INFO - Iter [66000/80000] lr: 2.344e-06, eta: 0:45:29, time: 0.181, data_time: 0.007, memory: 52403, decode.loss_ce: 0.1995, decode.acc_seg: 91.7044, loss: 0.1995 +2023-03-04 15:29:38,497 - mmseg - INFO - Iter [66050/80000] lr: 2.344e-06, eta: 0:45:19, time: 0.181, data_time: 0.007, memory: 52403, decode.loss_ce: 0.2049, decode.acc_seg: 91.7684, loss: 0.2049 +2023-03-04 15:29:49,842 - mmseg - INFO - Iter [66100/80000] lr: 2.344e-06, eta: 0:45:10, time: 0.227, data_time: 0.056, memory: 52403, decode.loss_ce: 0.2014, decode.acc_seg: 91.7169, loss: 0.2014 +2023-03-04 15:29:58,748 - mmseg - INFO - Iter [66150/80000] lr: 2.344e-06, eta: 0:45:00, time: 0.178, data_time: 0.007, memory: 52403, decode.loss_ce: 0.1974, decode.acc_seg: 91.8595, loss: 0.1974 +2023-03-04 15:30:07,618 - mmseg - INFO - Iter [66200/80000] lr: 2.344e-06, eta: 0:44:50, time: 0.177, data_time: 0.007, memory: 52403, decode.loss_ce: 0.2015, decode.acc_seg: 91.7116, loss: 0.2015 +2023-03-04 15:30:16,306 - mmseg - INFO - Iter [66250/80000] lr: 2.344e-06, eta: 0:44:40, time: 0.174, data_time: 0.007, memory: 52403, decode.loss_ce: 0.1948, decode.acc_seg: 91.9426, loss: 0.1948 +2023-03-04 15:30:25,224 - mmseg - INFO - Iter [66300/80000] lr: 2.344e-06, eta: 0:44:30, time: 0.178, data_time: 0.007, memory: 52403, decode.loss_ce: 0.2073, decode.acc_seg: 91.5644, loss: 0.2073 +2023-03-04 15:30:34,551 - mmseg - INFO - Iter [66350/80000] lr: 2.344e-06, eta: 0:44:20, time: 0.187, data_time: 0.007, memory: 52403, decode.loss_ce: 0.1909, decode.acc_seg: 92.0176, loss: 0.1909 +2023-03-04 15:30:43,196 - mmseg - INFO - Iter [66400/80000] lr: 2.344e-06, eta: 0:44:10, time: 0.173, data_time: 0.007, memory: 52403, decode.loss_ce: 0.1948, decode.acc_seg: 91.8736, loss: 0.1948 +2023-03-04 15:30:52,058 - mmseg - INFO - Iter [66450/80000] lr: 2.344e-06, eta: 0:44:00, time: 0.177, data_time: 0.007, memory: 52403, decode.loss_ce: 0.1927, decode.acc_seg: 92.0949, loss: 0.1927 +2023-03-04 15:31:00,871 - mmseg - INFO - Iter [66500/80000] lr: 2.344e-06, eta: 0:43:50, time: 0.176, data_time: 0.007, memory: 52403, decode.loss_ce: 0.1967, decode.acc_seg: 92.0143, loss: 0.1967 +2023-03-04 15:31:09,793 - mmseg - INFO - Iter [66550/80000] lr: 2.344e-06, eta: 0:43:40, time: 0.178, data_time: 0.007, memory: 52403, decode.loss_ce: 0.2026, decode.acc_seg: 91.6571, loss: 0.2026 +2023-03-04 15:31:18,940 - mmseg - INFO - Iter [66600/80000] lr: 2.344e-06, eta: 0:43:30, time: 0.183, data_time: 0.007, memory: 52403, decode.loss_ce: 0.1941, decode.acc_seg: 92.0374, loss: 0.1941 +2023-03-04 15:31:27,809 - mmseg - INFO - Iter [66650/80000] lr: 2.344e-06, eta: 0:43:20, time: 0.177, data_time: 0.007, memory: 52403, decode.loss_ce: 0.1972, decode.acc_seg: 91.9814, loss: 0.1972 +2023-03-04 15:31:39,097 - mmseg - INFO - Iter [66700/80000] lr: 2.344e-06, eta: 0:43:11, time: 0.226, data_time: 0.054, memory: 52403, decode.loss_ce: 0.1914, decode.acc_seg: 92.0693, loss: 0.1914 +2023-03-04 15:31:48,392 - mmseg - INFO - Iter [66750/80000] lr: 2.344e-06, eta: 0:43:01, time: 0.186, data_time: 0.007, memory: 52403, decode.loss_ce: 0.1945, decode.acc_seg: 92.0658, loss: 0.1945 +2023-03-04 15:31:57,759 - mmseg - INFO - Iter [66800/80000] lr: 2.344e-06, eta: 0:42:51, time: 0.188, data_time: 0.007, memory: 52403, decode.loss_ce: 0.1984, decode.acc_seg: 91.8211, loss: 0.1984 +2023-03-04 15:32:06,594 - mmseg - INFO - Iter [66850/80000] lr: 2.344e-06, eta: 0:42:41, time: 0.177, data_time: 0.007, memory: 52403, decode.loss_ce: 0.1959, decode.acc_seg: 91.8885, loss: 0.1959 +2023-03-04 15:32:15,413 - mmseg - INFO - Iter [66900/80000] lr: 2.344e-06, eta: 0:42:31, time: 0.176, data_time: 0.007, memory: 52403, decode.loss_ce: 0.1955, decode.acc_seg: 91.8889, loss: 0.1955 +2023-03-04 15:32:24,545 - mmseg - INFO - Iter [66950/80000] lr: 2.344e-06, eta: 0:42:22, time: 0.183, data_time: 0.007, memory: 52403, decode.loss_ce: 0.1942, decode.acc_seg: 92.0215, loss: 0.1942 +2023-03-04 15:32:33,425 - mmseg - INFO - Exp name: ablation_segformer_mit_b2_segformer_head_unet_fc_single_step_ade_pretrained_freeze_embed_80k_ade20k151_mask.py +2023-03-04 15:32:33,425 - mmseg - INFO - Iter [67000/80000] lr: 2.344e-06, eta: 0:42:12, time: 0.178, data_time: 0.007, memory: 52403, decode.loss_ce: 0.1958, decode.acc_seg: 91.9885, loss: 0.1958 +2023-03-04 15:32:42,039 - mmseg - INFO - Iter [67050/80000] lr: 2.344e-06, eta: 0:42:02, time: 0.172, data_time: 0.007, memory: 52403, decode.loss_ce: 0.2050, decode.acc_seg: 91.6325, loss: 0.2050 +2023-03-04 15:32:50,653 - mmseg - INFO - Iter [67100/80000] lr: 2.344e-06, eta: 0:41:52, time: 0.172, data_time: 0.007, memory: 52403, decode.loss_ce: 0.2063, decode.acc_seg: 91.5707, loss: 0.2063 +2023-03-04 15:32:59,843 - mmseg - INFO - Iter [67150/80000] lr: 2.344e-06, eta: 0:41:42, time: 0.184, data_time: 0.007, memory: 52403, decode.loss_ce: 0.1970, decode.acc_seg: 92.0298, loss: 0.1970 +2023-03-04 15:33:08,984 - mmseg - INFO - Iter [67200/80000] lr: 2.344e-06, eta: 0:41:32, time: 0.183, data_time: 0.007, memory: 52403, decode.loss_ce: 0.1976, decode.acc_seg: 91.9339, loss: 0.1976 +2023-03-04 15:33:18,075 - mmseg - INFO - Iter [67250/80000] lr: 2.344e-06, eta: 0:41:22, time: 0.182, data_time: 0.007, memory: 52403, decode.loss_ce: 0.1929, decode.acc_seg: 92.2523, loss: 0.1929 +2023-03-04 15:33:27,051 - mmseg - INFO - Iter [67300/80000] lr: 2.344e-06, eta: 0:41:12, time: 0.180, data_time: 0.007, memory: 52403, decode.loss_ce: 0.2027, decode.acc_seg: 91.8306, loss: 0.2027 +2023-03-04 15:33:38,408 - mmseg - INFO - Iter [67350/80000] lr: 2.344e-06, eta: 0:41:03, time: 0.227, data_time: 0.056, memory: 52403, decode.loss_ce: 0.1910, decode.acc_seg: 92.1240, loss: 0.1910 +2023-03-04 15:33:47,188 - mmseg - INFO - Iter [67400/80000] lr: 2.344e-06, eta: 0:40:53, time: 0.176, data_time: 0.007, memory: 52403, decode.loss_ce: 0.1885, decode.acc_seg: 92.3093, loss: 0.1885 +2023-03-04 15:33:56,532 - mmseg - INFO - Iter [67450/80000] lr: 2.344e-06, eta: 0:40:43, time: 0.187, data_time: 0.007, memory: 52403, decode.loss_ce: 0.2038, decode.acc_seg: 91.5118, loss: 0.2038 +2023-03-04 15:34:05,607 - mmseg - INFO - Iter [67500/80000] lr: 2.344e-06, eta: 0:40:33, time: 0.181, data_time: 0.007, memory: 52403, decode.loss_ce: 0.2013, decode.acc_seg: 91.7578, loss: 0.2013 +2023-03-04 15:34:15,071 - mmseg - INFO - Iter [67550/80000] lr: 2.344e-06, eta: 0:40:23, time: 0.189, data_time: 0.007, memory: 52403, decode.loss_ce: 0.1928, decode.acc_seg: 92.0649, loss: 0.1928 +2023-03-04 15:34:24,020 - mmseg - INFO - Iter [67600/80000] lr: 2.344e-06, eta: 0:40:13, time: 0.179, data_time: 0.007, memory: 52403, decode.loss_ce: 0.1975, decode.acc_seg: 91.7507, loss: 0.1975 +2023-03-04 15:34:34,080 - mmseg - INFO - Iter [67650/80000] lr: 2.344e-06, eta: 0:40:04, time: 0.201, data_time: 0.008, memory: 52403, decode.loss_ce: 0.2002, decode.acc_seg: 91.9964, loss: 0.2002 +2023-03-04 15:34:43,055 - mmseg - INFO - Iter [67700/80000] lr: 2.344e-06, eta: 0:39:54, time: 0.179, data_time: 0.007, memory: 52403, decode.loss_ce: 0.1945, decode.acc_seg: 91.8860, loss: 0.1945 +2023-03-04 15:34:51,937 - mmseg - INFO - Iter [67750/80000] lr: 2.344e-06, eta: 0:39:44, time: 0.178, data_time: 0.007, memory: 52403, decode.loss_ce: 0.1925, decode.acc_seg: 92.0461, loss: 0.1925 +2023-03-04 15:35:00,887 - mmseg - INFO - Iter [67800/80000] lr: 2.344e-06, eta: 0:39:34, time: 0.179, data_time: 0.007, memory: 52403, decode.loss_ce: 0.2083, decode.acc_seg: 91.4543, loss: 0.2083 +2023-03-04 15:35:10,306 - mmseg - INFO - Iter [67850/80000] lr: 2.344e-06, eta: 0:39:24, time: 0.188, data_time: 0.007, memory: 52403, decode.loss_ce: 0.1899, decode.acc_seg: 92.1488, loss: 0.1899 +2023-03-04 15:35:19,225 - mmseg - INFO - Iter [67900/80000] lr: 2.344e-06, eta: 0:39:14, time: 0.178, data_time: 0.007, memory: 52403, decode.loss_ce: 0.1982, decode.acc_seg: 91.9053, loss: 0.1982 +2023-03-04 15:35:30,481 - mmseg - INFO - Iter [67950/80000] lr: 2.344e-06, eta: 0:39:05, time: 0.225, data_time: 0.054, memory: 52403, decode.loss_ce: 0.1989, decode.acc_seg: 91.7269, loss: 0.1989 +2023-03-04 15:35:39,773 - mmseg - INFO - Exp name: ablation_segformer_mit_b2_segformer_head_unet_fc_single_step_ade_pretrained_freeze_embed_80k_ade20k151_mask.py +2023-03-04 15:35:39,773 - mmseg - INFO - Iter [68000/80000] lr: 2.344e-06, eta: 0:38:55, time: 0.186, data_time: 0.007, memory: 52403, decode.loss_ce: 0.1885, decode.acc_seg: 92.1254, loss: 0.1885 +2023-03-04 15:35:48,922 - mmseg - INFO - Iter [68050/80000] lr: 2.344e-06, eta: 0:38:45, time: 0.183, data_time: 0.007, memory: 52403, decode.loss_ce: 0.1960, decode.acc_seg: 91.8672, loss: 0.1960 +2023-03-04 15:35:57,954 - mmseg - INFO - Iter [68100/80000] lr: 2.344e-06, eta: 0:38:35, time: 0.181, data_time: 0.007, memory: 52403, decode.loss_ce: 0.1930, decode.acc_seg: 92.0910, loss: 0.1930 +2023-03-04 15:36:06,607 - mmseg - INFO - Iter [68150/80000] lr: 2.344e-06, eta: 0:38:26, time: 0.173, data_time: 0.007, memory: 52403, decode.loss_ce: 0.1985, decode.acc_seg: 91.7332, loss: 0.1985 +2023-03-04 15:36:15,419 - mmseg - INFO - Iter [68200/80000] lr: 2.344e-06, eta: 0:38:16, time: 0.176, data_time: 0.007, memory: 52403, decode.loss_ce: 0.1980, decode.acc_seg: 91.8991, loss: 0.1980 +2023-03-04 15:36:24,207 - mmseg - INFO - Iter [68250/80000] lr: 2.344e-06, eta: 0:38:06, time: 0.176, data_time: 0.007, memory: 52403, decode.loss_ce: 0.1991, decode.acc_seg: 91.8922, loss: 0.1991 +2023-03-04 15:36:32,952 - mmseg - INFO - Iter [68300/80000] lr: 2.344e-06, eta: 0:37:56, time: 0.175, data_time: 0.007, memory: 52403, decode.loss_ce: 0.1933, decode.acc_seg: 91.9245, loss: 0.1933 +2023-03-04 15:36:41,682 - mmseg - INFO - Iter [68350/80000] lr: 2.344e-06, eta: 0:37:46, time: 0.175, data_time: 0.007, memory: 52403, decode.loss_ce: 0.2014, decode.acc_seg: 91.7512, loss: 0.2014 +2023-03-04 15:36:50,887 - mmseg - INFO - Iter [68400/80000] lr: 2.344e-06, eta: 0:37:36, time: 0.184, data_time: 0.007, memory: 52403, decode.loss_ce: 0.1937, decode.acc_seg: 91.9804, loss: 0.1937 +2023-03-04 15:37:00,021 - mmseg - INFO - Iter [68450/80000] lr: 2.344e-06, eta: 0:37:26, time: 0.182, data_time: 0.007, memory: 52403, decode.loss_ce: 0.2031, decode.acc_seg: 91.6684, loss: 0.2031 +2023-03-04 15:37:08,848 - mmseg - INFO - Iter [68500/80000] lr: 2.344e-06, eta: 0:37:16, time: 0.177, data_time: 0.007, memory: 52403, decode.loss_ce: 0.2045, decode.acc_seg: 91.6890, loss: 0.2045 +2023-03-04 15:37:17,666 - mmseg - INFO - Iter [68550/80000] lr: 2.344e-06, eta: 0:37:06, time: 0.176, data_time: 0.007, memory: 52403, decode.loss_ce: 0.1949, decode.acc_seg: 91.8383, loss: 0.1949 +2023-03-04 15:37:28,747 - mmseg - INFO - Iter [68600/80000] lr: 2.344e-06, eta: 0:36:57, time: 0.222, data_time: 0.057, memory: 52403, decode.loss_ce: 0.1949, decode.acc_seg: 91.9942, loss: 0.1949 +2023-03-04 15:37:38,241 - mmseg - INFO - Iter [68650/80000] lr: 2.344e-06, eta: 0:36:47, time: 0.190, data_time: 0.006, memory: 52403, decode.loss_ce: 0.1942, decode.acc_seg: 91.9060, loss: 0.1942 +2023-03-04 15:37:47,021 - mmseg - INFO - Iter [68700/80000] lr: 2.344e-06, eta: 0:36:37, time: 0.176, data_time: 0.007, memory: 52403, decode.loss_ce: 0.1909, decode.acc_seg: 92.0517, loss: 0.1909 +2023-03-04 15:37:55,829 - mmseg - INFO - Iter [68750/80000] lr: 2.344e-06, eta: 0:36:27, time: 0.176, data_time: 0.007, memory: 52403, decode.loss_ce: 0.2032, decode.acc_seg: 91.7178, loss: 0.2032 +2023-03-04 15:38:04,723 - mmseg - INFO - Iter [68800/80000] lr: 2.344e-06, eta: 0:36:18, time: 0.178, data_time: 0.007, memory: 52403, decode.loss_ce: 0.1950, decode.acc_seg: 91.9533, loss: 0.1950 +2023-03-04 15:38:13,607 - mmseg - INFO - Iter [68850/80000] lr: 2.344e-06, eta: 0:36:08, time: 0.178, data_time: 0.007, memory: 52403, decode.loss_ce: 0.1961, decode.acc_seg: 91.9892, loss: 0.1961 +2023-03-04 15:38:22,329 - mmseg - INFO - Iter [68900/80000] lr: 2.344e-06, eta: 0:35:58, time: 0.174, data_time: 0.007, memory: 52403, decode.loss_ce: 0.1950, decode.acc_seg: 92.0229, loss: 0.1950 +2023-03-04 15:38:31,127 - mmseg - INFO - Iter [68950/80000] lr: 2.344e-06, eta: 0:35:48, time: 0.176, data_time: 0.007, memory: 52403, decode.loss_ce: 0.1969, decode.acc_seg: 91.9912, loss: 0.1969 +2023-03-04 15:38:39,945 - mmseg - INFO - Exp name: ablation_segformer_mit_b2_segformer_head_unet_fc_single_step_ade_pretrained_freeze_embed_80k_ade20k151_mask.py +2023-03-04 15:38:39,946 - mmseg - INFO - Iter [69000/80000] lr: 2.344e-06, eta: 0:35:38, time: 0.176, data_time: 0.007, memory: 52403, decode.loss_ce: 0.1964, decode.acc_seg: 91.8339, loss: 0.1964 +2023-03-04 15:38:48,896 - mmseg - INFO - Iter [69050/80000] lr: 2.344e-06, eta: 0:35:28, time: 0.179, data_time: 0.007, memory: 52403, decode.loss_ce: 0.1967, decode.acc_seg: 91.9424, loss: 0.1967 +2023-03-04 15:38:57,655 - mmseg - INFO - Iter [69100/80000] lr: 2.344e-06, eta: 0:35:18, time: 0.175, data_time: 0.007, memory: 52403, decode.loss_ce: 0.2032, decode.acc_seg: 91.6315, loss: 0.2032 +2023-03-04 15:39:06,373 - mmseg - INFO - Iter [69150/80000] lr: 2.344e-06, eta: 0:35:08, time: 0.174, data_time: 0.007, memory: 52403, decode.loss_ce: 0.2017, decode.acc_seg: 91.6587, loss: 0.2017 +2023-03-04 15:39:15,827 - mmseg - INFO - Iter [69200/80000] lr: 2.344e-06, eta: 0:34:59, time: 0.189, data_time: 0.007, memory: 52403, decode.loss_ce: 0.2006, decode.acc_seg: 91.7239, loss: 0.2006 +2023-03-04 15:39:27,119 - mmseg - INFO - Iter [69250/80000] lr: 2.344e-06, eta: 0:34:49, time: 0.226, data_time: 0.056, memory: 52403, decode.loss_ce: 0.1990, decode.acc_seg: 91.8678, loss: 0.1990 +2023-03-04 15:39:36,177 - mmseg - INFO - Iter [69300/80000] lr: 2.344e-06, eta: 0:34:39, time: 0.181, data_time: 0.007, memory: 52403, decode.loss_ce: 0.1916, decode.acc_seg: 92.1535, loss: 0.1916 +2023-03-04 15:39:44,988 - mmseg - INFO - Iter [69350/80000] lr: 2.344e-06, eta: 0:34:29, time: 0.176, data_time: 0.007, memory: 52403, decode.loss_ce: 0.1987, decode.acc_seg: 91.8816, loss: 0.1987 +2023-03-04 15:39:53,898 - mmseg - INFO - Iter [69400/80000] lr: 2.344e-06, eta: 0:34:20, time: 0.178, data_time: 0.007, memory: 52403, decode.loss_ce: 0.1982, decode.acc_seg: 91.8550, loss: 0.1982 +2023-03-04 15:40:03,331 - mmseg - INFO - Iter [69450/80000] lr: 2.344e-06, eta: 0:34:10, time: 0.188, data_time: 0.007, memory: 52403, decode.loss_ce: 0.2028, decode.acc_seg: 91.5654, loss: 0.2028 +2023-03-04 15:40:12,892 - mmseg - INFO - Iter [69500/80000] lr: 2.344e-06, eta: 0:34:00, time: 0.192, data_time: 0.007, memory: 52403, decode.loss_ce: 0.2009, decode.acc_seg: 91.9104, loss: 0.2009 +2023-03-04 15:40:22,229 - mmseg - INFO - Iter [69550/80000] lr: 2.344e-06, eta: 0:33:50, time: 0.186, data_time: 0.007, memory: 52403, decode.loss_ce: 0.1917, decode.acc_seg: 92.0420, loss: 0.1917 +2023-03-04 15:40:31,274 - mmseg - INFO - Iter [69600/80000] lr: 2.344e-06, eta: 0:33:40, time: 0.181, data_time: 0.007, memory: 52403, decode.loss_ce: 0.1964, decode.acc_seg: 91.9918, loss: 0.1964 +2023-03-04 15:40:40,530 - mmseg - INFO - Iter [69650/80000] lr: 2.344e-06, eta: 0:33:31, time: 0.185, data_time: 0.007, memory: 52403, decode.loss_ce: 0.2113, decode.acc_seg: 91.4930, loss: 0.2113 +2023-03-04 15:40:49,720 - mmseg - INFO - Iter [69700/80000] lr: 2.344e-06, eta: 0:33:21, time: 0.184, data_time: 0.007, memory: 52403, decode.loss_ce: 0.1937, decode.acc_seg: 92.0438, loss: 0.1937 +2023-03-04 15:40:58,499 - mmseg - INFO - Iter [69750/80000] lr: 2.344e-06, eta: 0:33:11, time: 0.176, data_time: 0.007, memory: 52403, decode.loss_ce: 0.2039, decode.acc_seg: 91.6901, loss: 0.2039 +2023-03-04 15:41:07,149 - mmseg - INFO - Iter [69800/80000] lr: 2.344e-06, eta: 0:33:01, time: 0.173, data_time: 0.007, memory: 52403, decode.loss_ce: 0.1922, decode.acc_seg: 91.9832, loss: 0.1922 +2023-03-04 15:41:18,742 - mmseg - INFO - Iter [69850/80000] lr: 2.344e-06, eta: 0:32:52, time: 0.232, data_time: 0.052, memory: 52403, decode.loss_ce: 0.1994, decode.acc_seg: 91.8951, loss: 0.1994 +2023-03-04 15:41:27,739 - mmseg - INFO - Iter [69900/80000] lr: 2.344e-06, eta: 0:32:42, time: 0.180, data_time: 0.007, memory: 52403, decode.loss_ce: 0.1893, decode.acc_seg: 92.2596, loss: 0.1893 +2023-03-04 15:41:37,130 - mmseg - INFO - Iter [69950/80000] lr: 2.344e-06, eta: 0:32:32, time: 0.188, data_time: 0.007, memory: 52403, decode.loss_ce: 0.2040, decode.acc_seg: 91.5160, loss: 0.2040 +2023-03-04 15:41:46,057 - mmseg - INFO - Exp name: ablation_segformer_mit_b2_segformer_head_unet_fc_single_step_ade_pretrained_freeze_embed_80k_ade20k151_mask.py +2023-03-04 15:41:46,057 - mmseg - INFO - Iter [70000/80000] lr: 2.344e-06, eta: 0:32:22, time: 0.179, data_time: 0.007, memory: 52403, decode.loss_ce: 0.2033, decode.acc_seg: 91.6151, loss: 0.2033 +2023-03-04 15:41:54,913 - mmseg - INFO - Iter [70050/80000] lr: 1.172e-06, eta: 0:32:12, time: 0.177, data_time: 0.007, memory: 52403, decode.loss_ce: 0.1926, decode.acc_seg: 92.0047, loss: 0.1926 +2023-03-04 15:42:03,778 - mmseg - INFO - Iter [70100/80000] lr: 1.172e-06, eta: 0:32:03, time: 0.177, data_time: 0.007, memory: 52403, decode.loss_ce: 0.2017, decode.acc_seg: 91.7195, loss: 0.2017 +2023-03-04 15:42:12,959 - mmseg - INFO - Iter [70150/80000] lr: 1.172e-06, eta: 0:31:53, time: 0.184, data_time: 0.007, memory: 52403, decode.loss_ce: 0.1920, decode.acc_seg: 92.1281, loss: 0.1920 +2023-03-04 15:42:21,559 - mmseg - INFO - Iter [70200/80000] lr: 1.172e-06, eta: 0:31:43, time: 0.172, data_time: 0.007, memory: 52403, decode.loss_ce: 0.1848, decode.acc_seg: 92.2455, loss: 0.1848 +2023-03-04 15:42:30,472 - mmseg - INFO - Iter [70250/80000] lr: 1.172e-06, eta: 0:31:33, time: 0.178, data_time: 0.007, memory: 52403, decode.loss_ce: 0.1947, decode.acc_seg: 92.0642, loss: 0.1947 +2023-03-04 15:42:39,327 - mmseg - INFO - Iter [70300/80000] lr: 1.172e-06, eta: 0:31:23, time: 0.177, data_time: 0.007, memory: 52403, decode.loss_ce: 0.1946, decode.acc_seg: 92.0087, loss: 0.1946 +2023-03-04 15:42:48,506 - mmseg - INFO - Iter [70350/80000] lr: 1.172e-06, eta: 0:31:13, time: 0.183, data_time: 0.007, memory: 52403, decode.loss_ce: 0.2056, decode.acc_seg: 91.8152, loss: 0.2056 +2023-03-04 15:42:57,433 - mmseg - INFO - Iter [70400/80000] lr: 1.172e-06, eta: 0:31:04, time: 0.179, data_time: 0.007, memory: 52403, decode.loss_ce: 0.2010, decode.acc_seg: 91.6696, loss: 0.2010 +2023-03-04 15:43:06,146 - mmseg - INFO - Iter [70450/80000] lr: 1.172e-06, eta: 0:30:54, time: 0.174, data_time: 0.007, memory: 52403, decode.loss_ce: 0.2035, decode.acc_seg: 91.7007, loss: 0.2035 +2023-03-04 15:43:17,356 - mmseg - INFO - Iter [70500/80000] lr: 1.172e-06, eta: 0:30:44, time: 0.224, data_time: 0.055, memory: 52403, decode.loss_ce: 0.1909, decode.acc_seg: 92.0594, loss: 0.1909 +2023-03-04 15:43:26,155 - mmseg - INFO - Iter [70550/80000] lr: 1.172e-06, eta: 0:30:34, time: 0.176, data_time: 0.007, memory: 52403, decode.loss_ce: 0.1976, decode.acc_seg: 91.8597, loss: 0.1976 +2023-03-04 15:43:34,795 - mmseg - INFO - Iter [70600/80000] lr: 1.172e-06, eta: 0:30:24, time: 0.173, data_time: 0.007, memory: 52403, decode.loss_ce: 0.1924, decode.acc_seg: 91.9294, loss: 0.1924 +2023-03-04 15:43:43,711 - mmseg - INFO - Iter [70650/80000] lr: 1.172e-06, eta: 0:30:15, time: 0.179, data_time: 0.007, memory: 52403, decode.loss_ce: 0.1991, decode.acc_seg: 91.7848, loss: 0.1991 +2023-03-04 15:43:53,196 - mmseg - INFO - Iter [70700/80000] lr: 1.172e-06, eta: 0:30:05, time: 0.190, data_time: 0.007, memory: 52403, decode.loss_ce: 0.1966, decode.acc_seg: 91.8448, loss: 0.1966 +2023-03-04 15:44:02,089 - mmseg - INFO - Iter [70750/80000] lr: 1.172e-06, eta: 0:29:55, time: 0.178, data_time: 0.007, memory: 52403, decode.loss_ce: 0.1977, decode.acc_seg: 91.8628, loss: 0.1977 +2023-03-04 15:44:11,393 - mmseg - INFO - Iter [70800/80000] lr: 1.172e-06, eta: 0:29:45, time: 0.186, data_time: 0.007, memory: 52403, decode.loss_ce: 0.1979, decode.acc_seg: 91.8498, loss: 0.1979 +2023-03-04 15:44:20,890 - mmseg - INFO - Iter [70850/80000] lr: 1.172e-06, eta: 0:29:36, time: 0.190, data_time: 0.007, memory: 52403, decode.loss_ce: 0.1912, decode.acc_seg: 92.0607, loss: 0.1912 +2023-03-04 15:44:29,764 - mmseg - INFO - Iter [70900/80000] lr: 1.172e-06, eta: 0:29:26, time: 0.178, data_time: 0.007, memory: 52403, decode.loss_ce: 0.1939, decode.acc_seg: 92.0944, loss: 0.1939 +2023-03-04 15:44:38,580 - mmseg - INFO - Iter [70950/80000] lr: 1.172e-06, eta: 0:29:16, time: 0.176, data_time: 0.007, memory: 52403, decode.loss_ce: 0.2012, decode.acc_seg: 91.8595, loss: 0.2012 +2023-03-04 15:44:47,826 - mmseg - INFO - Exp name: ablation_segformer_mit_b2_segformer_head_unet_fc_single_step_ade_pretrained_freeze_embed_80k_ade20k151_mask.py +2023-03-04 15:44:47,826 - mmseg - INFO - Iter [71000/80000] lr: 1.172e-06, eta: 0:29:06, time: 0.185, data_time: 0.007, memory: 52403, decode.loss_ce: 0.1915, decode.acc_seg: 92.1139, loss: 0.1915 +2023-03-04 15:44:56,490 - mmseg - INFO - Iter [71050/80000] lr: 1.172e-06, eta: 0:28:56, time: 0.173, data_time: 0.007, memory: 52403, decode.loss_ce: 0.1907, decode.acc_seg: 92.1691, loss: 0.1907 +2023-03-04 15:45:07,638 - mmseg - INFO - Iter [71100/80000] lr: 1.172e-06, eta: 0:28:47, time: 0.223, data_time: 0.056, memory: 52403, decode.loss_ce: 0.2004, decode.acc_seg: 91.7515, loss: 0.2004 +2023-03-04 15:45:16,486 - mmseg - INFO - Iter [71150/80000] lr: 1.172e-06, eta: 0:28:37, time: 0.177, data_time: 0.007, memory: 52403, decode.loss_ce: 0.2015, decode.acc_seg: 91.6964, loss: 0.2015 +2023-03-04 15:45:25,909 - mmseg - INFO - Iter [71200/80000] lr: 1.172e-06, eta: 0:28:27, time: 0.188, data_time: 0.006, memory: 52403, decode.loss_ce: 0.1950, decode.acc_seg: 92.0023, loss: 0.1950 +2023-03-04 15:45:35,334 - mmseg - INFO - Iter [71250/80000] lr: 1.172e-06, eta: 0:28:17, time: 0.188, data_time: 0.007, memory: 52403, decode.loss_ce: 0.1958, decode.acc_seg: 91.9996, loss: 0.1958 +2023-03-04 15:45:44,257 - mmseg - INFO - Iter [71300/80000] lr: 1.172e-06, eta: 0:28:08, time: 0.179, data_time: 0.007, memory: 52403, decode.loss_ce: 0.2068, decode.acc_seg: 91.4881, loss: 0.2068 +2023-03-04 15:45:53,269 - mmseg - INFO - Iter [71350/80000] lr: 1.172e-06, eta: 0:27:58, time: 0.180, data_time: 0.007, memory: 52403, decode.loss_ce: 0.2061, decode.acc_seg: 91.6719, loss: 0.2061 +2023-03-04 15:46:02,278 - mmseg - INFO - Iter [71400/80000] lr: 1.172e-06, eta: 0:27:48, time: 0.180, data_time: 0.007, memory: 52403, decode.loss_ce: 0.1997, decode.acc_seg: 91.7569, loss: 0.1997 +2023-03-04 15:46:11,151 - mmseg - INFO - Iter [71450/80000] lr: 1.172e-06, eta: 0:27:38, time: 0.177, data_time: 0.007, memory: 52403, decode.loss_ce: 0.1973, decode.acc_seg: 91.9240, loss: 0.1973 +2023-03-04 15:46:20,183 - mmseg - INFO - Iter [71500/80000] lr: 1.172e-06, eta: 0:27:28, time: 0.181, data_time: 0.007, memory: 52403, decode.loss_ce: 0.1987, decode.acc_seg: 91.7974, loss: 0.1987 +2023-03-04 15:46:29,575 - mmseg - INFO - Iter [71550/80000] lr: 1.172e-06, eta: 0:27:19, time: 0.188, data_time: 0.007, memory: 52403, decode.loss_ce: 0.1924, decode.acc_seg: 91.9136, loss: 0.1924 +2023-03-04 15:46:38,697 - mmseg - INFO - Iter [71600/80000] lr: 1.172e-06, eta: 0:27:09, time: 0.182, data_time: 0.007, memory: 52403, decode.loss_ce: 0.1967, decode.acc_seg: 91.9434, loss: 0.1967 +2023-03-04 15:46:47,749 - mmseg - INFO - Iter [71650/80000] lr: 1.172e-06, eta: 0:26:59, time: 0.181, data_time: 0.007, memory: 52403, decode.loss_ce: 0.1975, decode.acc_seg: 91.7868, loss: 0.1975 +2023-03-04 15:46:56,526 - mmseg - INFO - Iter [71700/80000] lr: 1.172e-06, eta: 0:26:49, time: 0.175, data_time: 0.007, memory: 52403, decode.loss_ce: 0.1947, decode.acc_seg: 92.1001, loss: 0.1947 +2023-03-04 15:47:08,218 - mmseg - INFO - Iter [71750/80000] lr: 1.172e-06, eta: 0:26:40, time: 0.234, data_time: 0.056, memory: 52403, decode.loss_ce: 0.1988, decode.acc_seg: 91.9543, loss: 0.1988 +2023-03-04 15:47:17,681 - mmseg - INFO - Iter [71800/80000] lr: 1.172e-06, eta: 0:26:30, time: 0.189, data_time: 0.007, memory: 52403, decode.loss_ce: 0.1979, decode.acc_seg: 91.9620, loss: 0.1979 +2023-03-04 15:47:26,614 - mmseg - INFO - Iter [71850/80000] lr: 1.172e-06, eta: 0:26:20, time: 0.179, data_time: 0.007, memory: 52403, decode.loss_ce: 0.1902, decode.acc_seg: 92.0472, loss: 0.1902 +2023-03-04 15:47:35,729 - mmseg - INFO - Iter [71900/80000] lr: 1.172e-06, eta: 0:26:11, time: 0.182, data_time: 0.007, memory: 52403, decode.loss_ce: 0.1992, decode.acc_seg: 91.9339, loss: 0.1992 +2023-03-04 15:47:44,453 - mmseg - INFO - Iter [71950/80000] lr: 1.172e-06, eta: 0:26:01, time: 0.174, data_time: 0.007, memory: 52403, decode.loss_ce: 0.2087, decode.acc_seg: 91.5325, loss: 0.2087 +2023-03-04 15:47:53,150 - mmseg - INFO - Saving checkpoint at 72000 iterations +2023-03-04 15:47:53,792 - mmseg - INFO - Exp name: ablation_segformer_mit_b2_segformer_head_unet_fc_single_step_ade_pretrained_freeze_embed_80k_ade20k151_mask.py +2023-03-04 15:47:53,792 - mmseg - INFO - Iter [72000/80000] lr: 1.172e-06, eta: 0:25:51, time: 0.187, data_time: 0.007, memory: 52403, decode.loss_ce: 0.1947, decode.acc_seg: 91.9552, loss: 0.1947 +2023-03-04 15:48:09,247 - mmseg - INFO - per class results: +2023-03-04 15:48:09,253 - mmseg - INFO - ++---------------------+-------+-------+ +| Class | IoU | Acc | ++---------------------+-------+-------+ +| background | nan | nan | +| wall | 77.21 | 89.21 | +| building | 81.43 | 91.92 | +| sky | 94.42 | 97.37 | +| floor | 81.25 | 91.06 | +| tree | 73.93 | 87.61 | +| ceiling | 85.12 | 93.02 | +| road | 81.85 | 90.08 | +| bed | 87.43 | 95.34 | +| windowpane | 60.27 | 77.8 | +| grass | 66.97 | 83.68 | +| cabinet | 59.93 | 72.59 | +| sidewalk | 63.86 | 79.39 | +| person | 79.16 | 92.26 | +| earth | 35.52 | 49.2 | +| door | 45.13 | 58.39 | +| table | 60.03 | 75.91 | +| mountain | 57.95 | 72.66 | +| plant | 49.38 | 60.9 | +| curtain | 73.16 | 82.84 | +| chair | 55.9 | 68.48 | +| car | 80.97 | 92.26 | +| water | 57.64 | 75.99 | +| painting | 70.35 | 85.12 | +| sofa | 63.36 | 82.14 | +| shelf | 43.66 | 62.93 | +| house | 41.65 | 56.27 | +| sea | 60.47 | 76.72 | +| mirror | 65.18 | 73.52 | +| rug | 64.38 | 72.62 | +| field | 30.78 | 45.25 | +| armchair | 36.94 | 53.17 | +| seat | 65.86 | 82.69 | +| fence | 40.78 | 54.25 | +| desk | 45.78 | 67.38 | +| rock | 37.13 | 60.35 | +| wardrobe | 56.0 | 68.0 | +| lamp | 59.95 | 73.12 | +| bathtub | 73.78 | 81.12 | +| railing | 33.4 | 46.49 | +| cushion | 56.14 | 69.33 | +| base | 19.55 | 23.93 | +| box | 23.46 | 31.51 | +| column | 45.19 | 56.1 | +| signboard | 37.49 | 50.41 | +| chest of drawers | 35.95 | 56.44 | +| counter | 30.85 | 40.79 | +| sand | 41.85 | 57.53 | +| sink | 66.67 | 77.73 | +| skyscraper | 48.31 | 60.76 | +| fireplace | 72.91 | 85.78 | +| refrigerator | 74.06 | 85.44 | +| grandstand | 54.28 | 65.08 | +| path | 22.18 | 30.37 | +| stairs | 33.28 | 41.8 | +| runway | 66.61 | 85.4 | +| case | 47.3 | 57.1 | +| pool table | 91.49 | 94.33 | +| pillow | 59.99 | 69.42 | +| screen door | 67.74 | 73.37 | +| stairway | 23.37 | 35.45 | +| river | 11.84 | 21.85 | +| bridge | 33.37 | 38.51 | +| bookcase | 45.16 | 63.92 | +| blind | 39.68 | 45.21 | +| coffee table | 52.66 | 77.63 | +| toilet | 83.29 | 89.29 | +| flower | 38.16 | 52.69 | +| book | 43.65 | 64.87 | +| hill | 15.09 | 22.83 | +| bench | 42.09 | 55.11 | +| countertop | 52.74 | 71.27 | +| stove | 69.83 | 80.34 | +| palm | 47.96 | 67.89 | +| kitchen island | 39.78 | 62.01 | +| computer | 59.67 | 68.75 | +| swivel chair | 44.55 | 59.99 | +| boat | 68.82 | 83.41 | +| bar | 23.54 | 31.69 | +| arcade machine | 70.94 | 73.56 | +| hovel | 32.01 | 35.74 | +| bus | 78.17 | 90.4 | +| towel | 62.73 | 72.26 | +| light | 52.71 | 59.2 | +| truck | 17.88 | 23.65 | +| tower | 6.69 | 10.69 | +| chandelier | 62.98 | 77.95 | +| awning | 23.59 | 27.36 | +| streetlight | 25.17 | 33.07 | +| booth | 41.87 | 43.67 | +| television receiver | 64.28 | 75.67 | +| airplane | 58.56 | 64.35 | +| dirt track | 20.08 | 47.25 | +| apparel | 34.26 | 53.35 | +| pole | 16.14 | 21.16 | +| land | 4.1 | 5.94 | +| bannister | 11.27 | 15.39 | +| escalator | 23.32 | 24.66 | +| ottoman | 41.91 | 60.24 | +| bottle | 36.04 | 57.91 | +| buffet | 36.47 | 42.3 | +| poster | 23.3 | 33.49 | +| stage | 13.15 | 16.82 | +| van | 38.05 | 53.93 | +| ship | 75.86 | 91.31 | +| fountain | 21.22 | 21.61 | +| conveyer belt | 85.18 | 89.99 | +| canopy | 22.27 | 23.63 | +| washer | 76.53 | 77.45 | +| plaything | 20.58 | 29.11 | +| swimming pool | 71.91 | 79.75 | +| stool | 43.04 | 57.48 | +| barrel | 46.48 | 57.65 | +| basket | 25.78 | 37.69 | +| waterfall | 47.82 | 62.97 | +| tent | 94.62 | 97.52 | +| bag | 13.92 | 17.09 | +| minibike | 61.77 | 72.49 | +| cradle | 84.52 | 95.52 | +| oven | 46.0 | 66.18 | +| ball | 42.78 | 49.01 | +| food | 52.19 | 62.03 | +| step | 3.7 | 3.95 | +| tank | 49.09 | 53.83 | +| trade name | 28.92 | 33.21 | +| microwave | 73.71 | 79.42 | +| pot | 30.72 | 35.17 | +| animal | 53.09 | 59.98 | +| bicycle | 53.26 | 72.39 | +| lake | 57.77 | 63.32 | +| dishwasher | 65.59 | 76.67 | +| screen | 68.58 | 79.36 | +| blanket | 17.71 | 20.56 | +| sculpture | 56.06 | 78.77 | +| hood | 57.6 | 63.6 | +| sconce | 41.15 | 49.41 | +| vase | 36.72 | 50.63 | +| traffic light | 32.21 | 47.67 | +| tray | 6.63 | 10.13 | +| ashcan | 41.75 | 52.15 | +| fan | 58.26 | 69.13 | +| pier | 45.73 | 64.32 | +| crt screen | 9.17 | 24.3 | +| plate | 50.69 | 66.51 | +| monitor | 17.41 | 20.59 | +| bulletin board | 39.25 | 51.59 | +| shower | 1.5 | 5.82 | +| radiator | 60.49 | 68.07 | +| glass | 12.35 | 13.62 | +| clock | 32.72 | 36.04 | +| flag | 34.43 | 38.04 | ++---------------------+-------+-------+ +2023-03-04 15:48:09,253 - mmseg - INFO - Summary: +2023-03-04 15:48:09,254 - mmseg - INFO - ++-------+-------+-------+ +| aAcc | mIoU | mAcc | ++-------+-------+-------+ +| 82.58 | 47.95 | 58.81 | ++-------+-------+-------+ +2023-03-04 15:48:09,276 - mmseg - INFO - The previous best checkpoint /mnt/petrelfs/laizeqiang/mmseg-baseline/work_dirs2/ablation_segformer_mit_b2_segformer_head_unet_fc_single_step_ade_pretrained_freeze_embed_80k_ade20k151_mask/best_mIoU_iter_64000.pth was removed +2023-03-04 15:48:09,869 - mmseg - INFO - Now best checkpoint is saved as best_mIoU_iter_72000.pth. +2023-03-04 15:48:09,869 - mmseg - INFO - Best mIoU is 0.4795 at 72000 iter. +2023-03-04 15:48:09,869 - mmseg - INFO - Exp name: ablation_segformer_mit_b2_segformer_head_unet_fc_single_step_ade_pretrained_freeze_embed_80k_ade20k151_mask.py +2023-03-04 15:48:09,870 - mmseg - INFO - Iter(val) [250] aAcc: 0.8258, mIoU: 0.4795, mAcc: 0.5881, IoU.background: nan, IoU.wall: 0.7721, IoU.building: 0.8143, IoU.sky: 0.9442, IoU.floor: 0.8125, IoU.tree: 0.7393, IoU.ceiling: 0.8512, IoU.road: 0.8185, IoU.bed : 0.8743, IoU.windowpane: 0.6027, IoU.grass: 0.6697, IoU.cabinet: 0.5993, IoU.sidewalk: 0.6386, IoU.person: 0.7916, IoU.earth: 0.3552, IoU.door: 0.4513, IoU.table: 0.6003, IoU.mountain: 0.5795, IoU.plant: 0.4938, IoU.curtain: 0.7316, IoU.chair: 0.5590, IoU.car: 0.8097, IoU.water: 0.5764, IoU.painting: 0.7035, IoU.sofa: 0.6336, IoU.shelf: 0.4366, IoU.house: 0.4165, IoU.sea: 0.6047, IoU.mirror: 0.6518, IoU.rug: 0.6438, IoU.field: 0.3078, IoU.armchair: 0.3694, IoU.seat: 0.6586, IoU.fence: 0.4078, IoU.desk: 0.4578, IoU.rock: 0.3713, IoU.wardrobe: 0.5600, IoU.lamp: 0.5995, IoU.bathtub: 0.7378, IoU.railing: 0.3340, IoU.cushion: 0.5614, IoU.base: 0.1955, IoU.box: 0.2346, IoU.column: 0.4519, IoU.signboard: 0.3749, IoU.chest of drawers: 0.3595, IoU.counter: 0.3085, IoU.sand: 0.4185, IoU.sink: 0.6667, IoU.skyscraper: 0.4831, IoU.fireplace: 0.7291, IoU.refrigerator: 0.7406, IoU.grandstand: 0.5428, IoU.path: 0.2218, IoU.stairs: 0.3328, IoU.runway: 0.6661, IoU.case: 0.4730, IoU.pool table: 0.9149, IoU.pillow: 0.5999, IoU.screen door: 0.6774, IoU.stairway: 0.2337, IoU.river: 0.1184, IoU.bridge: 0.3337, IoU.bookcase: 0.4516, IoU.blind: 0.3968, IoU.coffee table: 0.5266, IoU.toilet: 0.8329, IoU.flower: 0.3816, IoU.book: 0.4365, IoU.hill: 0.1509, IoU.bench: 0.4209, IoU.countertop: 0.5274, IoU.stove: 0.6983, IoU.palm: 0.4796, IoU.kitchen island: 0.3978, IoU.computer: 0.5967, IoU.swivel chair: 0.4455, IoU.boat: 0.6882, IoU.bar: 0.2354, IoU.arcade machine: 0.7094, IoU.hovel: 0.3201, IoU.bus: 0.7817, IoU.towel: 0.6273, IoU.light: 0.5271, IoU.truck: 0.1788, IoU.tower: 0.0669, IoU.chandelier: 0.6298, IoU.awning: 0.2359, IoU.streetlight: 0.2517, IoU.booth: 0.4187, IoU.television receiver: 0.6428, IoU.airplane: 0.5856, IoU.dirt track: 0.2008, IoU.apparel: 0.3426, IoU.pole: 0.1614, IoU.land: 0.0410, IoU.bannister: 0.1127, IoU.escalator: 0.2332, IoU.ottoman: 0.4191, IoU.bottle: 0.3604, IoU.buffet: 0.3647, IoU.poster: 0.2330, IoU.stage: 0.1315, IoU.van: 0.3805, IoU.ship: 0.7586, IoU.fountain: 0.2122, IoU.conveyer belt: 0.8518, IoU.canopy: 0.2227, IoU.washer: 0.7653, IoU.plaything: 0.2058, IoU.swimming pool: 0.7191, IoU.stool: 0.4304, IoU.barrel: 0.4648, IoU.basket: 0.2578, IoU.waterfall: 0.4782, IoU.tent: 0.9462, IoU.bag: 0.1392, IoU.minibike: 0.6177, IoU.cradle: 0.8452, IoU.oven: 0.4600, IoU.ball: 0.4278, IoU.food: 0.5219, IoU.step: 0.0370, IoU.tank: 0.4909, IoU.trade name: 0.2892, IoU.microwave: 0.7371, IoU.pot: 0.3072, IoU.animal: 0.5309, IoU.bicycle: 0.5326, IoU.lake: 0.5777, IoU.dishwasher: 0.6559, IoU.screen: 0.6858, IoU.blanket: 0.1771, IoU.sculpture: 0.5606, IoU.hood: 0.5760, IoU.sconce: 0.4115, IoU.vase: 0.3672, IoU.traffic light: 0.3221, IoU.tray: 0.0663, IoU.ashcan: 0.4175, IoU.fan: 0.5826, IoU.pier: 0.4573, IoU.crt screen: 0.0917, IoU.plate: 0.5069, IoU.monitor: 0.1741, IoU.bulletin board: 0.3925, IoU.shower: 0.0150, IoU.radiator: 0.6049, IoU.glass: 0.1235, IoU.clock: 0.3272, IoU.flag: 0.3443, Acc.background: nan, Acc.wall: 0.8921, Acc.building: 0.9192, Acc.sky: 0.9737, Acc.floor: 0.9106, Acc.tree: 0.8761, Acc.ceiling: 0.9302, Acc.road: 0.9008, Acc.bed : 0.9534, Acc.windowpane: 0.7780, Acc.grass: 0.8368, Acc.cabinet: 0.7259, Acc.sidewalk: 0.7939, Acc.person: 0.9226, Acc.earth: 0.4920, Acc.door: 0.5839, Acc.table: 0.7591, Acc.mountain: 0.7266, Acc.plant: 0.6090, Acc.curtain: 0.8284, Acc.chair: 0.6848, Acc.car: 0.9226, Acc.water: 0.7599, Acc.painting: 0.8512, Acc.sofa: 0.8214, Acc.shelf: 0.6293, Acc.house: 0.5627, Acc.sea: 0.7672, Acc.mirror: 0.7352, Acc.rug: 0.7262, Acc.field: 0.4525, Acc.armchair: 0.5317, Acc.seat: 0.8269, Acc.fence: 0.5425, Acc.desk: 0.6738, Acc.rock: 0.6035, Acc.wardrobe: 0.6800, Acc.lamp: 0.7312, Acc.bathtub: 0.8112, Acc.railing: 0.4649, Acc.cushion: 0.6933, Acc.base: 0.2393, Acc.box: 0.3151, Acc.column: 0.5610, Acc.signboard: 0.5041, Acc.chest of drawers: 0.5644, Acc.counter: 0.4079, Acc.sand: 0.5753, Acc.sink: 0.7773, Acc.skyscraper: 0.6076, Acc.fireplace: 0.8578, Acc.refrigerator: 0.8544, Acc.grandstand: 0.6508, Acc.path: 0.3037, Acc.stairs: 0.4180, Acc.runway: 0.8540, Acc.case: 0.5710, Acc.pool table: 0.9433, Acc.pillow: 0.6942, Acc.screen door: 0.7337, Acc.stairway: 0.3545, Acc.river: 0.2185, Acc.bridge: 0.3851, Acc.bookcase: 0.6392, Acc.blind: 0.4521, Acc.coffee table: 0.7763, Acc.toilet: 0.8929, Acc.flower: 0.5269, Acc.book: 0.6487, Acc.hill: 0.2283, Acc.bench: 0.5511, Acc.countertop: 0.7127, Acc.stove: 0.8034, Acc.palm: 0.6789, Acc.kitchen island: 0.6201, Acc.computer: 0.6875, Acc.swivel chair: 0.5999, Acc.boat: 0.8341, Acc.bar: 0.3169, Acc.arcade machine: 0.7356, Acc.hovel: 0.3574, Acc.bus: 0.9040, Acc.towel: 0.7226, Acc.light: 0.5920, Acc.truck: 0.2365, Acc.tower: 0.1069, Acc.chandelier: 0.7795, Acc.awning: 0.2736, Acc.streetlight: 0.3307, Acc.booth: 0.4367, Acc.television receiver: 0.7567, Acc.airplane: 0.6435, Acc.dirt track: 0.4725, Acc.apparel: 0.5335, Acc.pole: 0.2116, Acc.land: 0.0594, Acc.bannister: 0.1539, Acc.escalator: 0.2466, Acc.ottoman: 0.6024, Acc.bottle: 0.5791, Acc.buffet: 0.4230, Acc.poster: 0.3349, Acc.stage: 0.1682, Acc.van: 0.5393, Acc.ship: 0.9131, Acc.fountain: 0.2161, Acc.conveyer belt: 0.8999, Acc.canopy: 0.2363, Acc.washer: 0.7745, Acc.plaything: 0.2911, Acc.swimming pool: 0.7975, Acc.stool: 0.5748, Acc.barrel: 0.5765, Acc.basket: 0.3769, Acc.waterfall: 0.6297, Acc.tent: 0.9752, Acc.bag: 0.1709, Acc.minibike: 0.7249, Acc.cradle: 0.9552, Acc.oven: 0.6618, Acc.ball: 0.4901, Acc.food: 0.6203, Acc.step: 0.0395, Acc.tank: 0.5383, Acc.trade name: 0.3321, Acc.microwave: 0.7942, Acc.pot: 0.3517, Acc.animal: 0.5998, Acc.bicycle: 0.7239, Acc.lake: 0.6332, Acc.dishwasher: 0.7667, Acc.screen: 0.7936, Acc.blanket: 0.2056, Acc.sculpture: 0.7877, Acc.hood: 0.6360, Acc.sconce: 0.4941, Acc.vase: 0.5063, Acc.traffic light: 0.4767, Acc.tray: 0.1013, Acc.ashcan: 0.5215, Acc.fan: 0.6913, Acc.pier: 0.6432, Acc.crt screen: 0.2430, Acc.plate: 0.6651, Acc.monitor: 0.2059, Acc.bulletin board: 0.5159, Acc.shower: 0.0582, Acc.radiator: 0.6807, Acc.glass: 0.1362, Acc.clock: 0.3604, Acc.flag: 0.3804 +2023-03-04 15:48:18,933 - mmseg - INFO - Iter [72050/80000] lr: 1.172e-06, eta: 0:25:43, time: 0.503, data_time: 0.329, memory: 52403, decode.loss_ce: 0.1999, decode.acc_seg: 91.7424, loss: 0.1999 +2023-03-04 15:48:27,689 - mmseg - INFO - Iter [72100/80000] lr: 1.172e-06, eta: 0:25:33, time: 0.175, data_time: 0.007, memory: 52403, decode.loss_ce: 0.2020, decode.acc_seg: 91.7442, loss: 0.2020 +2023-03-04 15:48:36,730 - mmseg - INFO - Iter [72150/80000] lr: 1.172e-06, eta: 0:25:24, time: 0.181, data_time: 0.007, memory: 52403, decode.loss_ce: 0.2075, decode.acc_seg: 91.4623, loss: 0.2075 +2023-03-04 15:48:45,804 - mmseg - INFO - Iter [72200/80000] lr: 1.172e-06, eta: 0:25:14, time: 0.182, data_time: 0.007, memory: 52403, decode.loss_ce: 0.1933, decode.acc_seg: 92.1105, loss: 0.1933 +2023-03-04 15:48:54,590 - mmseg - INFO - Iter [72250/80000] lr: 1.172e-06, eta: 0:25:04, time: 0.176, data_time: 0.007, memory: 52403, decode.loss_ce: 0.1917, decode.acc_seg: 92.1097, loss: 0.1917 +2023-03-04 15:49:03,366 - mmseg - INFO - Iter [72300/80000] lr: 1.172e-06, eta: 0:24:54, time: 0.175, data_time: 0.007, memory: 52403, decode.loss_ce: 0.2014, decode.acc_seg: 91.7514, loss: 0.2014 +2023-03-04 15:49:12,123 - mmseg - INFO - Iter [72350/80000] lr: 1.172e-06, eta: 0:24:44, time: 0.175, data_time: 0.007, memory: 52403, decode.loss_ce: 0.1981, decode.acc_seg: 91.8515, loss: 0.1981 +2023-03-04 15:49:23,817 - mmseg - INFO - Iter [72400/80000] lr: 1.172e-06, eta: 0:24:35, time: 0.234, data_time: 0.054, memory: 52403, decode.loss_ce: 0.1989, decode.acc_seg: 91.7304, loss: 0.1989 +2023-03-04 15:49:32,710 - mmseg - INFO - Iter [72450/80000] lr: 1.172e-06, eta: 0:24:25, time: 0.178, data_time: 0.007, memory: 52403, decode.loss_ce: 0.1898, decode.acc_seg: 92.2615, loss: 0.1898 +2023-03-04 15:49:41,718 - mmseg - INFO - Iter [72500/80000] lr: 1.172e-06, eta: 0:24:15, time: 0.180, data_time: 0.007, memory: 52403, decode.loss_ce: 0.1902, decode.acc_seg: 92.0803, loss: 0.1902 +2023-03-04 15:49:50,537 - mmseg - INFO - Iter [72550/80000] lr: 1.172e-06, eta: 0:24:06, time: 0.177, data_time: 0.007, memory: 52403, decode.loss_ce: 0.1990, decode.acc_seg: 91.9450, loss: 0.1990 +2023-03-04 15:49:59,283 - mmseg - INFO - Iter [72600/80000] lr: 1.172e-06, eta: 0:23:56, time: 0.175, data_time: 0.007, memory: 52403, decode.loss_ce: 0.2025, decode.acc_seg: 91.6029, loss: 0.2025 +2023-03-04 15:50:08,405 - mmseg - INFO - Iter [72650/80000] lr: 1.172e-06, eta: 0:23:46, time: 0.182, data_time: 0.007, memory: 52403, decode.loss_ce: 0.1930, decode.acc_seg: 91.9644, loss: 0.1930 +2023-03-04 15:50:17,606 - mmseg - INFO - Iter [72700/80000] lr: 1.172e-06, eta: 0:23:36, time: 0.184, data_time: 0.007, memory: 52403, decode.loss_ce: 0.1874, decode.acc_seg: 92.2386, loss: 0.1874 +2023-03-04 15:50:26,493 - mmseg - INFO - Iter [72750/80000] lr: 1.172e-06, eta: 0:23:26, time: 0.178, data_time: 0.007, memory: 52403, decode.loss_ce: 0.1960, decode.acc_seg: 92.0491, loss: 0.1960 +2023-03-04 15:50:35,805 - mmseg - INFO - Iter [72800/80000] lr: 1.172e-06, eta: 0:23:17, time: 0.187, data_time: 0.007, memory: 52403, decode.loss_ce: 0.1914, decode.acc_seg: 91.9309, loss: 0.1914 +2023-03-04 15:50:45,406 - mmseg - INFO - Iter [72850/80000] lr: 1.172e-06, eta: 0:23:07, time: 0.192, data_time: 0.007, memory: 52403, decode.loss_ce: 0.1971, decode.acc_seg: 91.8633, loss: 0.1971 +2023-03-04 15:50:54,194 - mmseg - INFO - Iter [72900/80000] lr: 1.172e-06, eta: 0:22:57, time: 0.176, data_time: 0.007, memory: 52403, decode.loss_ce: 0.1879, decode.acc_seg: 92.1971, loss: 0.1879 +2023-03-04 15:51:03,132 - mmseg - INFO - Iter [72950/80000] lr: 1.172e-06, eta: 0:22:47, time: 0.179, data_time: 0.007, memory: 52403, decode.loss_ce: 0.2024, decode.acc_seg: 91.8824, loss: 0.2024 +2023-03-04 15:51:14,509 - mmseg - INFO - Exp name: ablation_segformer_mit_b2_segformer_head_unet_fc_single_step_ade_pretrained_freeze_embed_80k_ade20k151_mask.py +2023-03-04 15:51:14,509 - mmseg - INFO - Iter [73000/80000] lr: 1.172e-06, eta: 0:22:38, time: 0.228, data_time: 0.056, memory: 52403, decode.loss_ce: 0.1935, decode.acc_seg: 92.0729, loss: 0.1935 +2023-03-04 15:51:23,299 - mmseg - INFO - Iter [73050/80000] lr: 1.172e-06, eta: 0:22:28, time: 0.176, data_time: 0.007, memory: 52403, decode.loss_ce: 0.2006, decode.acc_seg: 91.7966, loss: 0.2006 +2023-03-04 15:51:32,438 - mmseg - INFO - Iter [73100/80000] lr: 1.172e-06, eta: 0:22:18, time: 0.183, data_time: 0.007, memory: 52403, decode.loss_ce: 0.1940, decode.acc_seg: 91.9581, loss: 0.1940 +2023-03-04 15:51:41,335 - mmseg - INFO - Iter [73150/80000] lr: 1.172e-06, eta: 0:22:08, time: 0.178, data_time: 0.007, memory: 52403, decode.loss_ce: 0.1970, decode.acc_seg: 91.9297, loss: 0.1970 +2023-03-04 15:51:50,642 - mmseg - INFO - Iter [73200/80000] lr: 1.172e-06, eta: 0:21:59, time: 0.186, data_time: 0.007, memory: 52403, decode.loss_ce: 0.1970, decode.acc_seg: 91.8443, loss: 0.1970 +2023-03-04 15:51:59,556 - mmseg - INFO - Iter [73250/80000] lr: 1.172e-06, eta: 0:21:49, time: 0.178, data_time: 0.007, memory: 52403, decode.loss_ce: 0.2078, decode.acc_seg: 91.6420, loss: 0.2078 +2023-03-04 15:52:08,797 - mmseg - INFO - Iter [73300/80000] lr: 1.172e-06, eta: 0:21:39, time: 0.185, data_time: 0.007, memory: 52403, decode.loss_ce: 0.1957, decode.acc_seg: 92.1000, loss: 0.1957 +2023-03-04 15:52:17,872 - mmseg - INFO - Iter [73350/80000] lr: 1.172e-06, eta: 0:21:29, time: 0.181, data_time: 0.007, memory: 52403, decode.loss_ce: 0.1937, decode.acc_seg: 92.0000, loss: 0.1937 +2023-03-04 15:52:27,051 - mmseg - INFO - Iter [73400/80000] lr: 1.172e-06, eta: 0:21:20, time: 0.184, data_time: 0.007, memory: 52403, decode.loss_ce: 0.1904, decode.acc_seg: 92.1166, loss: 0.1904 +2023-03-04 15:52:35,855 - mmseg - INFO - Iter [73450/80000] lr: 1.172e-06, eta: 0:21:10, time: 0.176, data_time: 0.007, memory: 52403, decode.loss_ce: 0.1941, decode.acc_seg: 92.0924, loss: 0.1941 +2023-03-04 15:52:44,608 - mmseg - INFO - Iter [73500/80000] lr: 1.172e-06, eta: 0:21:00, time: 0.175, data_time: 0.007, memory: 52403, decode.loss_ce: 0.1987, decode.acc_seg: 91.8576, loss: 0.1987 +2023-03-04 15:52:53,430 - mmseg - INFO - Iter [73550/80000] lr: 1.172e-06, eta: 0:20:50, time: 0.176, data_time: 0.007, memory: 52403, decode.loss_ce: 0.2021, decode.acc_seg: 91.5719, loss: 0.2021 +2023-03-04 15:53:02,520 - mmseg - INFO - Iter [73600/80000] lr: 1.172e-06, eta: 0:20:41, time: 0.182, data_time: 0.007, memory: 52403, decode.loss_ce: 0.2085, decode.acc_seg: 91.5397, loss: 0.2085 +2023-03-04 15:53:13,925 - mmseg - INFO - Iter [73650/80000] lr: 1.172e-06, eta: 0:20:31, time: 0.228, data_time: 0.053, memory: 52403, decode.loss_ce: 0.1867, decode.acc_seg: 92.3438, loss: 0.1867 +2023-03-04 15:53:22,816 - mmseg - INFO - Iter [73700/80000] lr: 1.172e-06, eta: 0:20:21, time: 0.178, data_time: 0.007, memory: 52403, decode.loss_ce: 0.1960, decode.acc_seg: 91.7699, loss: 0.1960 +2023-03-04 15:53:31,849 - mmseg - INFO - Iter [73750/80000] lr: 1.172e-06, eta: 0:20:12, time: 0.181, data_time: 0.007, memory: 52403, decode.loss_ce: 0.1979, decode.acc_seg: 91.9083, loss: 0.1979 +2023-03-04 15:53:40,831 - mmseg - INFO - Iter [73800/80000] lr: 1.172e-06, eta: 0:20:02, time: 0.179, data_time: 0.007, memory: 52403, decode.loss_ce: 0.1965, decode.acc_seg: 91.8508, loss: 0.1965 +2023-03-04 15:53:49,750 - mmseg - INFO - Iter [73850/80000] lr: 1.172e-06, eta: 0:19:52, time: 0.179, data_time: 0.007, memory: 52403, decode.loss_ce: 0.1972, decode.acc_seg: 91.9364, loss: 0.1972 +2023-03-04 15:53:58,721 - mmseg - INFO - Iter [73900/80000] lr: 1.172e-06, eta: 0:19:42, time: 0.179, data_time: 0.007, memory: 52403, decode.loss_ce: 0.1912, decode.acc_seg: 92.1483, loss: 0.1912 +2023-03-04 15:54:07,638 - mmseg - INFO - Iter [73950/80000] lr: 1.172e-06, eta: 0:19:32, time: 0.178, data_time: 0.007, memory: 52403, decode.loss_ce: 0.1941, decode.acc_seg: 91.9295, loss: 0.1941 +2023-03-04 15:54:16,822 - mmseg - INFO - Exp name: ablation_segformer_mit_b2_segformer_head_unet_fc_single_step_ade_pretrained_freeze_embed_80k_ade20k151_mask.py +2023-03-04 15:54:16,822 - mmseg - INFO - Iter [74000/80000] lr: 1.172e-06, eta: 0:19:23, time: 0.184, data_time: 0.007, memory: 52403, decode.loss_ce: 0.1975, decode.acc_seg: 91.9759, loss: 0.1975 +2023-03-04 15:54:25,639 - mmseg - INFO - Iter [74050/80000] lr: 1.172e-06, eta: 0:19:13, time: 0.176, data_time: 0.007, memory: 52403, decode.loss_ce: 0.2096, decode.acc_seg: 91.4676, loss: 0.2096 +2023-03-04 15:54:34,587 - mmseg - INFO - Iter [74100/80000] lr: 1.172e-06, eta: 0:19:03, time: 0.179, data_time: 0.007, memory: 52403, decode.loss_ce: 0.1949, decode.acc_seg: 92.0041, loss: 0.1949 +2023-03-04 15:54:43,676 - mmseg - INFO - Iter [74150/80000] lr: 1.172e-06, eta: 0:18:53, time: 0.182, data_time: 0.007, memory: 52403, decode.loss_ce: 0.1946, decode.acc_seg: 92.0057, loss: 0.1946 +2023-03-04 15:54:52,940 - mmseg - INFO - Iter [74200/80000] lr: 1.172e-06, eta: 0:18:44, time: 0.186, data_time: 0.007, memory: 52403, decode.loss_ce: 0.2073, decode.acc_seg: 91.5385, loss: 0.2073 +2023-03-04 15:55:01,574 - mmseg - INFO - Iter [74250/80000] lr: 1.172e-06, eta: 0:18:34, time: 0.173, data_time: 0.007, memory: 52403, decode.loss_ce: 0.1902, decode.acc_seg: 92.1537, loss: 0.1902 +2023-03-04 15:55:12,746 - mmseg - INFO - Iter [74300/80000] lr: 1.172e-06, eta: 0:18:24, time: 0.223, data_time: 0.056, memory: 52403, decode.loss_ce: 0.1926, decode.acc_seg: 92.1151, loss: 0.1926 +2023-03-04 15:55:21,774 - mmseg - INFO - Iter [74350/80000] lr: 1.172e-06, eta: 0:18:15, time: 0.181, data_time: 0.007, memory: 52403, decode.loss_ce: 0.2040, decode.acc_seg: 91.7993, loss: 0.2040 +2023-03-04 15:55:30,593 - mmseg - INFO - Iter [74400/80000] lr: 1.172e-06, eta: 0:18:05, time: 0.176, data_time: 0.007, memory: 52403, decode.loss_ce: 0.2000, decode.acc_seg: 91.8192, loss: 0.2000 +2023-03-04 15:55:39,918 - mmseg - INFO - Iter [74450/80000] lr: 1.172e-06, eta: 0:17:55, time: 0.186, data_time: 0.007, memory: 52403, decode.loss_ce: 0.1942, decode.acc_seg: 91.9662, loss: 0.1942 +2023-03-04 15:55:48,630 - mmseg - INFO - Iter [74500/80000] lr: 1.172e-06, eta: 0:17:45, time: 0.175, data_time: 0.007, memory: 52403, decode.loss_ce: 0.1925, decode.acc_seg: 92.0505, loss: 0.1925 +2023-03-04 15:55:57,319 - mmseg - INFO - Iter [74550/80000] lr: 1.172e-06, eta: 0:17:36, time: 0.174, data_time: 0.007, memory: 52403, decode.loss_ce: 0.1977, decode.acc_seg: 91.7396, loss: 0.1977 +2023-03-04 15:56:06,682 - mmseg - INFO - Iter [74600/80000] lr: 1.172e-06, eta: 0:17:26, time: 0.187, data_time: 0.007, memory: 52403, decode.loss_ce: 0.1927, decode.acc_seg: 92.1031, loss: 0.1927 +2023-03-04 15:56:16,252 - mmseg - INFO - Iter [74650/80000] lr: 1.172e-06, eta: 0:17:16, time: 0.192, data_time: 0.007, memory: 52403, decode.loss_ce: 0.1943, decode.acc_seg: 92.0476, loss: 0.1943 +2023-03-04 15:56:24,965 - mmseg - INFO - Iter [74700/80000] lr: 1.172e-06, eta: 0:17:06, time: 0.174, data_time: 0.007, memory: 52403, decode.loss_ce: 0.1878, decode.acc_seg: 92.2128, loss: 0.1878 +2023-03-04 15:56:33,742 - mmseg - INFO - Iter [74750/80000] lr: 1.172e-06, eta: 0:16:57, time: 0.176, data_time: 0.007, memory: 52403, decode.loss_ce: 0.2007, decode.acc_seg: 91.7420, loss: 0.2007 +2023-03-04 15:56:42,718 - mmseg - INFO - Iter [74800/80000] lr: 1.172e-06, eta: 0:16:47, time: 0.179, data_time: 0.007, memory: 52403, decode.loss_ce: 0.2057, decode.acc_seg: 91.6321, loss: 0.2057 +2023-03-04 15:56:51,910 - mmseg - INFO - Iter [74850/80000] lr: 1.172e-06, eta: 0:16:37, time: 0.184, data_time: 0.007, memory: 52403, decode.loss_ce: 0.1960, decode.acc_seg: 91.8512, loss: 0.1960 +2023-03-04 15:57:03,342 - mmseg - INFO - Iter [74900/80000] lr: 1.172e-06, eta: 0:16:28, time: 0.228, data_time: 0.054, memory: 52403, decode.loss_ce: 0.1947, decode.acc_seg: 92.0033, loss: 0.1947 +2023-03-04 15:57:12,385 - mmseg - INFO - Iter [74950/80000] lr: 1.172e-06, eta: 0:16:18, time: 0.181, data_time: 0.007, memory: 52403, decode.loss_ce: 0.1938, decode.acc_seg: 92.1472, loss: 0.1938 +2023-03-04 15:57:21,658 - mmseg - INFO - Exp name: ablation_segformer_mit_b2_segformer_head_unet_fc_single_step_ade_pretrained_freeze_embed_80k_ade20k151_mask.py +2023-03-04 15:57:21,658 - mmseg - INFO - Iter [75000/80000] lr: 1.172e-06, eta: 0:16:08, time: 0.185, data_time: 0.007, memory: 52403, decode.loss_ce: 0.1918, decode.acc_seg: 92.0821, loss: 0.1918 +2023-03-04 15:57:30,933 - mmseg - INFO - Iter [75050/80000] lr: 1.172e-06, eta: 0:15:58, time: 0.185, data_time: 0.007, memory: 52403, decode.loss_ce: 0.1991, decode.acc_seg: 91.9276, loss: 0.1991 +2023-03-04 15:57:39,820 - mmseg - INFO - Iter [75100/80000] lr: 1.172e-06, eta: 0:15:49, time: 0.178, data_time: 0.007, memory: 52403, decode.loss_ce: 0.1963, decode.acc_seg: 91.8220, loss: 0.1963 +2023-03-04 15:57:49,712 - mmseg - INFO - Iter [75150/80000] lr: 1.172e-06, eta: 0:15:39, time: 0.198, data_time: 0.007, memory: 52403, decode.loss_ce: 0.1953, decode.acc_seg: 91.9531, loss: 0.1953 +2023-03-04 15:57:58,995 - mmseg - INFO - Iter [75200/80000] lr: 1.172e-06, eta: 0:15:29, time: 0.185, data_time: 0.007, memory: 52403, decode.loss_ce: 0.2016, decode.acc_seg: 91.8358, loss: 0.2016 +2023-03-04 15:58:07,697 - mmseg - INFO - Iter [75250/80000] lr: 1.172e-06, eta: 0:15:20, time: 0.174, data_time: 0.007, memory: 52403, decode.loss_ce: 0.1933, decode.acc_seg: 92.0632, loss: 0.1933 +2023-03-04 15:58:16,723 - mmseg - INFO - Iter [75300/80000] lr: 1.172e-06, eta: 0:15:10, time: 0.180, data_time: 0.007, memory: 52403, decode.loss_ce: 0.1927, decode.acc_seg: 92.1970, loss: 0.1927 +2023-03-04 15:58:25,524 - mmseg - INFO - Iter [75350/80000] lr: 1.172e-06, eta: 0:15:00, time: 0.176, data_time: 0.007, memory: 52403, decode.loss_ce: 0.1944, decode.acc_seg: 91.9623, loss: 0.1944 +2023-03-04 15:58:34,108 - mmseg - INFO - Iter [75400/80000] lr: 1.172e-06, eta: 0:14:50, time: 0.172, data_time: 0.007, memory: 52403, decode.loss_ce: 0.1952, decode.acc_seg: 91.8863, loss: 0.1952 +2023-03-04 15:58:43,023 - mmseg - INFO - Iter [75450/80000] lr: 1.172e-06, eta: 0:14:41, time: 0.178, data_time: 0.007, memory: 52403, decode.loss_ce: 0.1873, decode.acc_seg: 92.2829, loss: 0.1873 +2023-03-04 15:58:52,082 - mmseg - INFO - Iter [75500/80000] lr: 1.172e-06, eta: 0:14:31, time: 0.181, data_time: 0.007, memory: 52403, decode.loss_ce: 0.1962, decode.acc_seg: 91.9154, loss: 0.1962 +2023-03-04 15:59:03,597 - mmseg - INFO - Iter [75550/80000] lr: 1.172e-06, eta: 0:14:21, time: 0.230, data_time: 0.056, memory: 52403, decode.loss_ce: 0.1978, decode.acc_seg: 91.8998, loss: 0.1978 +2023-03-04 15:59:12,389 - mmseg - INFO - Iter [75600/80000] lr: 1.172e-06, eta: 0:14:12, time: 0.176, data_time: 0.007, memory: 52403, decode.loss_ce: 0.1944, decode.acc_seg: 91.9578, loss: 0.1944 +2023-03-04 15:59:21,335 - mmseg - INFO - Iter [75650/80000] lr: 1.172e-06, eta: 0:14:02, time: 0.179, data_time: 0.007, memory: 52403, decode.loss_ce: 0.1929, decode.acc_seg: 92.0930, loss: 0.1929 +2023-03-04 15:59:30,255 - mmseg - INFO - Iter [75700/80000] lr: 1.172e-06, eta: 0:13:52, time: 0.178, data_time: 0.007, memory: 52403, decode.loss_ce: 0.2030, decode.acc_seg: 91.7969, loss: 0.2030 +2023-03-04 15:59:39,263 - mmseg - INFO - Iter [75750/80000] lr: 1.172e-06, eta: 0:13:42, time: 0.180, data_time: 0.007, memory: 52403, decode.loss_ce: 0.2040, decode.acc_seg: 91.8096, loss: 0.2040 +2023-03-04 15:59:48,019 - mmseg - INFO - Iter [75800/80000] lr: 1.172e-06, eta: 0:13:33, time: 0.175, data_time: 0.007, memory: 52403, decode.loss_ce: 0.1966, decode.acc_seg: 91.9890, loss: 0.1966 +2023-03-04 15:59:56,774 - mmseg - INFO - Iter [75850/80000] lr: 1.172e-06, eta: 0:13:23, time: 0.175, data_time: 0.007, memory: 52403, decode.loss_ce: 0.1945, decode.acc_seg: 91.9895, loss: 0.1945 +2023-03-04 16:00:05,950 - mmseg - INFO - Iter [75900/80000] lr: 1.172e-06, eta: 0:13:13, time: 0.184, data_time: 0.007, memory: 52403, decode.loss_ce: 0.2015, decode.acc_seg: 91.5695, loss: 0.2015 +2023-03-04 16:00:14,922 - mmseg - INFO - Iter [75950/80000] lr: 1.172e-06, eta: 0:13:03, time: 0.179, data_time: 0.007, memory: 52403, decode.loss_ce: 0.1963, decode.acc_seg: 92.0035, loss: 0.1963 +2023-03-04 16:00:23,551 - mmseg - INFO - Exp name: ablation_segformer_mit_b2_segformer_head_unet_fc_single_step_ade_pretrained_freeze_embed_80k_ade20k151_mask.py +2023-03-04 16:00:23,552 - mmseg - INFO - Iter [76000/80000] lr: 1.172e-06, eta: 0:12:54, time: 0.173, data_time: 0.007, memory: 52403, decode.loss_ce: 0.2084, decode.acc_seg: 91.3451, loss: 0.2084 +2023-03-04 16:00:32,582 - mmseg - INFO - Iter [76050/80000] lr: 1.172e-06, eta: 0:12:44, time: 0.180, data_time: 0.007, memory: 52403, decode.loss_ce: 0.1920, decode.acc_seg: 92.1255, loss: 0.1920 +2023-03-04 16:00:41,384 - mmseg - INFO - Iter [76100/80000] lr: 1.172e-06, eta: 0:12:34, time: 0.176, data_time: 0.007, memory: 52403, decode.loss_ce: 0.1934, decode.acc_seg: 92.0008, loss: 0.1934 +2023-03-04 16:00:52,505 - mmseg - INFO - Iter [76150/80000] lr: 1.172e-06, eta: 0:12:25, time: 0.222, data_time: 0.055, memory: 52403, decode.loss_ce: 0.1912, decode.acc_seg: 92.1490, loss: 0.1912 +2023-03-04 16:01:01,528 - mmseg - INFO - Iter [76200/80000] lr: 1.172e-06, eta: 0:12:15, time: 0.181, data_time: 0.007, memory: 52403, decode.loss_ce: 0.1993, decode.acc_seg: 91.6670, loss: 0.1993 +2023-03-04 16:01:10,852 - mmseg - INFO - Iter [76250/80000] lr: 1.172e-06, eta: 0:12:05, time: 0.186, data_time: 0.007, memory: 52403, decode.loss_ce: 0.1949, decode.acc_seg: 92.0612, loss: 0.1949 +2023-03-04 16:01:20,154 - mmseg - INFO - Iter [76300/80000] lr: 1.172e-06, eta: 0:11:56, time: 0.186, data_time: 0.007, memory: 52403, decode.loss_ce: 0.1871, decode.acc_seg: 92.1705, loss: 0.1871 +2023-03-04 16:01:29,381 - mmseg - INFO - Iter [76350/80000] lr: 1.172e-06, eta: 0:11:46, time: 0.184, data_time: 0.007, memory: 52403, decode.loss_ce: 0.1992, decode.acc_seg: 91.8634, loss: 0.1992 +2023-03-04 16:01:38,526 - mmseg - INFO - Iter [76400/80000] lr: 1.172e-06, eta: 0:11:36, time: 0.183, data_time: 0.007, memory: 52403, decode.loss_ce: 0.2049, decode.acc_seg: 91.6240, loss: 0.2049 +2023-03-04 16:01:47,501 - mmseg - INFO - Iter [76450/80000] lr: 1.172e-06, eta: 0:11:26, time: 0.179, data_time: 0.007, memory: 52403, decode.loss_ce: 0.2058, decode.acc_seg: 91.5945, loss: 0.2058 +2023-03-04 16:01:56,564 - mmseg - INFO - Iter [76500/80000] lr: 1.172e-06, eta: 0:11:17, time: 0.181, data_time: 0.007, memory: 52403, decode.loss_ce: 0.1925, decode.acc_seg: 91.9456, loss: 0.1925 +2023-03-04 16:02:05,654 - mmseg - INFO - Iter [76550/80000] lr: 1.172e-06, eta: 0:11:07, time: 0.182, data_time: 0.008, memory: 52403, decode.loss_ce: 0.1932, decode.acc_seg: 91.9885, loss: 0.1932 +2023-03-04 16:02:14,488 - mmseg - INFO - Iter [76600/80000] lr: 1.172e-06, eta: 0:10:57, time: 0.177, data_time: 0.007, memory: 52403, decode.loss_ce: 0.1909, decode.acc_seg: 92.1602, loss: 0.1909 +2023-03-04 16:02:23,882 - mmseg - INFO - Iter [76650/80000] lr: 1.172e-06, eta: 0:10:48, time: 0.188, data_time: 0.007, memory: 52403, decode.loss_ce: 0.1920, decode.acc_seg: 92.1933, loss: 0.1920 +2023-03-04 16:02:32,687 - mmseg - INFO - Iter [76700/80000] lr: 1.172e-06, eta: 0:10:38, time: 0.176, data_time: 0.007, memory: 52403, decode.loss_ce: 0.1963, decode.acc_seg: 91.7020, loss: 0.1963 +2023-03-04 16:02:41,960 - mmseg - INFO - Iter [76750/80000] lr: 1.172e-06, eta: 0:10:28, time: 0.185, data_time: 0.007, memory: 52403, decode.loss_ce: 0.2059, decode.acc_seg: 91.6534, loss: 0.2059 +2023-03-04 16:02:53,534 - mmseg - INFO - Iter [76800/80000] lr: 1.172e-06, eta: 0:10:19, time: 0.231, data_time: 0.056, memory: 52403, decode.loss_ce: 0.1995, decode.acc_seg: 91.7252, loss: 0.1995 +2023-03-04 16:03:02,774 - mmseg - INFO - Iter [76850/80000] lr: 1.172e-06, eta: 0:10:09, time: 0.185, data_time: 0.007, memory: 52403, decode.loss_ce: 0.2066, decode.acc_seg: 91.4044, loss: 0.2066 +2023-03-04 16:03:11,917 - mmseg - INFO - Iter [76900/80000] lr: 1.172e-06, eta: 0:09:59, time: 0.183, data_time: 0.007, memory: 52403, decode.loss_ce: 0.2021, decode.acc_seg: 91.7257, loss: 0.2021 +2023-03-04 16:03:20,924 - mmseg - INFO - Iter [76950/80000] lr: 1.172e-06, eta: 0:09:50, time: 0.180, data_time: 0.007, memory: 52403, decode.loss_ce: 0.2003, decode.acc_seg: 91.8131, loss: 0.2003 +2023-03-04 16:03:29,567 - mmseg - INFO - Exp name: ablation_segformer_mit_b2_segformer_head_unet_fc_single_step_ade_pretrained_freeze_embed_80k_ade20k151_mask.py +2023-03-04 16:03:29,567 - mmseg - INFO - Iter [77000/80000] lr: 1.172e-06, eta: 0:09:40, time: 0.173, data_time: 0.007, memory: 52403, decode.loss_ce: 0.1967, decode.acc_seg: 91.9199, loss: 0.1967 +2023-03-04 16:03:38,326 - mmseg - INFO - Iter [77050/80000] lr: 1.172e-06, eta: 0:09:30, time: 0.175, data_time: 0.007, memory: 52403, decode.loss_ce: 0.1938, decode.acc_seg: 92.0904, loss: 0.1938 +2023-03-04 16:03:47,199 - mmseg - INFO - Iter [77100/80000] lr: 1.172e-06, eta: 0:09:20, time: 0.177, data_time: 0.007, memory: 52403, decode.loss_ce: 0.1996, decode.acc_seg: 91.8799, loss: 0.1996 +2023-03-04 16:03:56,420 - mmseg - INFO - Iter [77150/80000] lr: 1.172e-06, eta: 0:09:11, time: 0.184, data_time: 0.007, memory: 52403, decode.loss_ce: 0.1978, decode.acc_seg: 91.9021, loss: 0.1978 +2023-03-04 16:04:05,045 - mmseg - INFO - Iter [77200/80000] lr: 1.172e-06, eta: 0:09:01, time: 0.172, data_time: 0.007, memory: 52403, decode.loss_ce: 0.1898, decode.acc_seg: 92.2314, loss: 0.1898 +2023-03-04 16:04:13,898 - mmseg - INFO - Iter [77250/80000] lr: 1.172e-06, eta: 0:08:51, time: 0.177, data_time: 0.007, memory: 52403, decode.loss_ce: 0.2020, decode.acc_seg: 91.6429, loss: 0.2020 +2023-03-04 16:04:22,818 - mmseg - INFO - Iter [77300/80000] lr: 1.172e-06, eta: 0:08:42, time: 0.178, data_time: 0.007, memory: 52403, decode.loss_ce: 0.2001, decode.acc_seg: 91.6726, loss: 0.2001 +2023-03-04 16:04:31,488 - mmseg - INFO - Iter [77350/80000] lr: 1.172e-06, eta: 0:08:32, time: 0.174, data_time: 0.007, memory: 52403, decode.loss_ce: 0.1907, decode.acc_seg: 92.1586, loss: 0.1907 +2023-03-04 16:04:40,889 - mmseg - INFO - Iter [77400/80000] lr: 1.172e-06, eta: 0:08:22, time: 0.188, data_time: 0.007, memory: 52403, decode.loss_ce: 0.1916, decode.acc_seg: 92.0931, loss: 0.1916 +2023-03-04 16:04:52,489 - mmseg - INFO - Iter [77450/80000] lr: 1.172e-06, eta: 0:08:13, time: 0.232, data_time: 0.058, memory: 52403, decode.loss_ce: 0.1956, decode.acc_seg: 91.8866, loss: 0.1956 +2023-03-04 16:05:01,854 - mmseg - INFO - Iter [77500/80000] lr: 1.172e-06, eta: 0:08:03, time: 0.187, data_time: 0.008, memory: 52403, decode.loss_ce: 0.1995, decode.acc_seg: 91.7796, loss: 0.1995 +2023-03-04 16:05:10,981 - mmseg - INFO - Iter [77550/80000] lr: 1.172e-06, eta: 0:07:53, time: 0.183, data_time: 0.007, memory: 52403, decode.loss_ce: 0.1986, decode.acc_seg: 91.9254, loss: 0.1986 +2023-03-04 16:05:19,979 - mmseg - INFO - Iter [77600/80000] lr: 1.172e-06, eta: 0:07:44, time: 0.180, data_time: 0.007, memory: 52403, decode.loss_ce: 0.2028, decode.acc_seg: 91.6102, loss: 0.2028 +2023-03-04 16:05:29,033 - mmseg - INFO - Iter [77650/80000] lr: 1.172e-06, eta: 0:07:34, time: 0.181, data_time: 0.007, memory: 52403, decode.loss_ce: 0.1891, decode.acc_seg: 92.1518, loss: 0.1891 +2023-03-04 16:05:38,321 - mmseg - INFO - Iter [77700/80000] lr: 1.172e-06, eta: 0:07:24, time: 0.186, data_time: 0.007, memory: 52403, decode.loss_ce: 0.2111, decode.acc_seg: 91.4757, loss: 0.2111 +2023-03-04 16:05:46,979 - mmseg - INFO - Iter [77750/80000] lr: 1.172e-06, eta: 0:07:15, time: 0.173, data_time: 0.007, memory: 52403, decode.loss_ce: 0.1947, decode.acc_seg: 92.0278, loss: 0.1947 +2023-03-04 16:05:55,932 - mmseg - INFO - Iter [77800/80000] lr: 1.172e-06, eta: 0:07:05, time: 0.179, data_time: 0.007, memory: 52403, decode.loss_ce: 0.2045, decode.acc_seg: 91.5671, loss: 0.2045 +2023-03-04 16:06:04,905 - mmseg - INFO - Iter [77850/80000] lr: 1.172e-06, eta: 0:06:55, time: 0.179, data_time: 0.007, memory: 52403, decode.loss_ce: 0.1899, decode.acc_seg: 92.2434, loss: 0.1899 +2023-03-04 16:06:13,507 - mmseg - INFO - Iter [77900/80000] lr: 1.172e-06, eta: 0:06:45, time: 0.172, data_time: 0.007, memory: 52403, decode.loss_ce: 0.2002, decode.acc_seg: 91.8209, loss: 0.2002 +2023-03-04 16:06:22,730 - mmseg - INFO - Iter [77950/80000] lr: 1.172e-06, eta: 0:06:36, time: 0.184, data_time: 0.007, memory: 52403, decode.loss_ce: 0.1956, decode.acc_seg: 91.9280, loss: 0.1956 +2023-03-04 16:06:31,941 - mmseg - INFO - Exp name: ablation_segformer_mit_b2_segformer_head_unet_fc_single_step_ade_pretrained_freeze_embed_80k_ade20k151_mask.py +2023-03-04 16:06:31,941 - mmseg - INFO - Iter [78000/80000] lr: 1.172e-06, eta: 0:06:26, time: 0.184, data_time: 0.007, memory: 52403, decode.loss_ce: 0.1880, decode.acc_seg: 92.1566, loss: 0.1880 +2023-03-04 16:06:43,675 - mmseg - INFO - Iter [78050/80000] lr: 1.172e-06, eta: 0:06:16, time: 0.235, data_time: 0.055, memory: 52403, decode.loss_ce: 0.1857, decode.acc_seg: 92.0998, loss: 0.1857 +2023-03-04 16:06:52,974 - mmseg - INFO - Iter [78100/80000] lr: 1.172e-06, eta: 0:06:07, time: 0.186, data_time: 0.007, memory: 52403, decode.loss_ce: 0.2015, decode.acc_seg: 91.7442, loss: 0.2015 +2023-03-04 16:07:01,912 - mmseg - INFO - Iter [78150/80000] lr: 1.172e-06, eta: 0:05:57, time: 0.178, data_time: 0.007, memory: 52403, decode.loss_ce: 0.1976, decode.acc_seg: 91.9408, loss: 0.1976 +2023-03-04 16:07:10,720 - mmseg - INFO - Iter [78200/80000] lr: 1.172e-06, eta: 0:05:47, time: 0.176, data_time: 0.007, memory: 52403, decode.loss_ce: 0.1900, decode.acc_seg: 92.2879, loss: 0.1900 +2023-03-04 16:07:19,860 - mmseg - INFO - Iter [78250/80000] lr: 1.172e-06, eta: 0:05:38, time: 0.183, data_time: 0.007, memory: 52403, decode.loss_ce: 0.2008, decode.acc_seg: 91.5944, loss: 0.2008 +2023-03-04 16:07:28,933 - mmseg - INFO - Iter [78300/80000] lr: 1.172e-06, eta: 0:05:28, time: 0.182, data_time: 0.007, memory: 52403, decode.loss_ce: 0.1987, decode.acc_seg: 91.8052, loss: 0.1987 +2023-03-04 16:07:37,688 - mmseg - INFO - Iter [78350/80000] lr: 1.172e-06, eta: 0:05:18, time: 0.175, data_time: 0.007, memory: 52403, decode.loss_ce: 0.1920, decode.acc_seg: 92.1740, loss: 0.1920 +2023-03-04 16:07:47,187 - mmseg - INFO - Iter [78400/80000] lr: 1.172e-06, eta: 0:05:09, time: 0.190, data_time: 0.007, memory: 52403, decode.loss_ce: 0.2014, decode.acc_seg: 91.7796, loss: 0.2014 +2023-03-04 16:07:56,113 - mmseg - INFO - Iter [78450/80000] lr: 1.172e-06, eta: 0:04:59, time: 0.179, data_time: 0.007, memory: 52403, decode.loss_ce: 0.1910, decode.acc_seg: 92.0388, loss: 0.1910 +2023-03-04 16:08:04,766 - mmseg - INFO - Iter [78500/80000] lr: 1.172e-06, eta: 0:04:49, time: 0.173, data_time: 0.007, memory: 52403, decode.loss_ce: 0.1997, decode.acc_seg: 91.7888, loss: 0.1997 +2023-03-04 16:08:13,787 - mmseg - INFO - Iter [78550/80000] lr: 1.172e-06, eta: 0:04:40, time: 0.180, data_time: 0.007, memory: 52403, decode.loss_ce: 0.1931, decode.acc_seg: 92.1388, loss: 0.1931 +2023-03-04 16:08:22,831 - mmseg - INFO - Iter [78600/80000] lr: 1.172e-06, eta: 0:04:30, time: 0.181, data_time: 0.007, memory: 52403, decode.loss_ce: 0.1935, decode.acc_seg: 91.9813, loss: 0.1935 +2023-03-04 16:08:32,126 - mmseg - INFO - Iter [78650/80000] lr: 1.172e-06, eta: 0:04:20, time: 0.186, data_time: 0.008, memory: 52403, decode.loss_ce: 0.1965, decode.acc_seg: 91.8909, loss: 0.1965 +2023-03-04 16:08:43,318 - mmseg - INFO - Iter [78700/80000] lr: 1.172e-06, eta: 0:04:11, time: 0.224, data_time: 0.053, memory: 52403, decode.loss_ce: 0.1892, decode.acc_seg: 92.2396, loss: 0.1892 +2023-03-04 16:08:52,107 - mmseg - INFO - Iter [78750/80000] lr: 1.172e-06, eta: 0:04:01, time: 0.176, data_time: 0.007, memory: 52403, decode.loss_ce: 0.1924, decode.acc_seg: 92.0395, loss: 0.1924 +2023-03-04 16:09:01,158 - mmseg - INFO - Iter [78800/80000] lr: 1.172e-06, eta: 0:03:51, time: 0.181, data_time: 0.007, memory: 52403, decode.loss_ce: 0.2001, decode.acc_seg: 92.0219, loss: 0.2001 +2023-03-04 16:09:09,851 - mmseg - INFO - Iter [78850/80000] lr: 1.172e-06, eta: 0:03:42, time: 0.174, data_time: 0.007, memory: 52403, decode.loss_ce: 0.1937, decode.acc_seg: 91.9548, loss: 0.1937 +2023-03-04 16:09:18,615 - mmseg - INFO - Iter [78900/80000] lr: 1.172e-06, eta: 0:03:32, time: 0.175, data_time: 0.007, memory: 52403, decode.loss_ce: 0.1977, decode.acc_seg: 91.8221, loss: 0.1977 +2023-03-04 16:09:27,713 - mmseg - INFO - Iter [78950/80000] lr: 1.172e-06, eta: 0:03:22, time: 0.182, data_time: 0.007, memory: 52403, decode.loss_ce: 0.1867, decode.acc_seg: 92.2912, loss: 0.1867 +2023-03-04 16:09:37,100 - mmseg - INFO - Exp name: ablation_segformer_mit_b2_segformer_head_unet_fc_single_step_ade_pretrained_freeze_embed_80k_ade20k151_mask.py +2023-03-04 16:09:37,100 - mmseg - INFO - Iter [79000/80000] lr: 1.172e-06, eta: 0:03:13, time: 0.188, data_time: 0.007, memory: 52403, decode.loss_ce: 0.1919, decode.acc_seg: 92.2593, loss: 0.1919 +2023-03-04 16:09:45,886 - mmseg - INFO - Iter [79050/80000] lr: 1.172e-06, eta: 0:03:03, time: 0.176, data_time: 0.007, memory: 52403, decode.loss_ce: 0.1882, decode.acc_seg: 92.2667, loss: 0.1882 +2023-03-04 16:09:54,773 - mmseg - INFO - Iter [79100/80000] lr: 1.172e-06, eta: 0:02:53, time: 0.178, data_time: 0.007, memory: 52403, decode.loss_ce: 0.2031, decode.acc_seg: 91.8494, loss: 0.2031 +2023-03-04 16:10:04,295 - mmseg - INFO - Iter [79150/80000] lr: 1.172e-06, eta: 0:02:44, time: 0.190, data_time: 0.007, memory: 52403, decode.loss_ce: 0.2048, decode.acc_seg: 91.5277, loss: 0.2048 +2023-03-04 16:10:13,568 - mmseg - INFO - Iter [79200/80000] lr: 1.172e-06, eta: 0:02:34, time: 0.185, data_time: 0.007, memory: 52403, decode.loss_ce: 0.1995, decode.acc_seg: 91.9018, loss: 0.1995 +2023-03-04 16:10:22,597 - mmseg - INFO - Iter [79250/80000] lr: 1.172e-06, eta: 0:02:24, time: 0.181, data_time: 0.007, memory: 52403, decode.loss_ce: 0.2006, decode.acc_seg: 91.6507, loss: 0.2006 +2023-03-04 16:10:31,941 - mmseg - INFO - Iter [79300/80000] lr: 1.172e-06, eta: 0:02:15, time: 0.187, data_time: 0.007, memory: 52403, decode.loss_ce: 0.1944, decode.acc_seg: 92.0830, loss: 0.1944 +2023-03-04 16:10:43,202 - mmseg - INFO - Iter [79350/80000] lr: 1.172e-06, eta: 0:02:05, time: 0.225, data_time: 0.057, memory: 52403, decode.loss_ce: 0.2038, decode.acc_seg: 91.6704, loss: 0.2038 +2023-03-04 16:10:52,207 - mmseg - INFO - Iter [79400/80000] lr: 1.172e-06, eta: 0:01:55, time: 0.180, data_time: 0.007, memory: 52403, decode.loss_ce: 0.1931, decode.acc_seg: 92.1024, loss: 0.1931 +2023-03-04 16:11:01,106 - mmseg - INFO - Iter [79450/80000] lr: 1.172e-06, eta: 0:01:46, time: 0.178, data_time: 0.007, memory: 52403, decode.loss_ce: 0.1951, decode.acc_seg: 91.7915, loss: 0.1951 +2023-03-04 16:11:09,921 - mmseg - INFO - Iter [79500/80000] lr: 1.172e-06, eta: 0:01:36, time: 0.176, data_time: 0.007, memory: 52403, decode.loss_ce: 0.1988, decode.acc_seg: 91.9065, loss: 0.1988 +2023-03-04 16:11:18,904 - mmseg - INFO - Iter [79550/80000] lr: 1.172e-06, eta: 0:01:26, time: 0.180, data_time: 0.007, memory: 52403, decode.loss_ce: 0.1895, decode.acc_seg: 92.1872, loss: 0.1895 +2023-03-04 16:11:27,779 - mmseg - INFO - Iter [79600/80000] lr: 1.172e-06, eta: 0:01:17, time: 0.177, data_time: 0.007, memory: 52403, decode.loss_ce: 0.1936, decode.acc_seg: 91.9417, loss: 0.1936 +2023-03-04 16:11:36,723 - mmseg - INFO - Iter [79650/80000] lr: 1.172e-06, eta: 0:01:07, time: 0.179, data_time: 0.007, memory: 52403, decode.loss_ce: 0.1949, decode.acc_seg: 92.0290, loss: 0.1949 +2023-03-04 16:11:45,476 - mmseg - INFO - Iter [79700/80000] lr: 1.172e-06, eta: 0:00:57, time: 0.175, data_time: 0.007, memory: 52403, decode.loss_ce: 0.2017, decode.acc_seg: 91.6648, loss: 0.2017 +2023-03-04 16:11:54,553 - mmseg - INFO - Iter [79750/80000] lr: 1.172e-06, eta: 0:00:48, time: 0.181, data_time: 0.007, memory: 52403, decode.loss_ce: 0.1915, decode.acc_seg: 92.1205, loss: 0.1915 +2023-03-04 16:12:03,482 - mmseg - INFO - Iter [79800/80000] lr: 1.172e-06, eta: 0:00:38, time: 0.179, data_time: 0.007, memory: 52403, decode.loss_ce: 0.1983, decode.acc_seg: 91.8534, loss: 0.1983 +2023-03-04 16:12:12,477 - mmseg - INFO - Iter [79850/80000] lr: 1.172e-06, eta: 0:00:28, time: 0.180, data_time: 0.007, memory: 52403, decode.loss_ce: 0.1921, decode.acc_seg: 91.9551, loss: 0.1921 +2023-03-04 16:12:21,550 - mmseg - INFO - Iter [79900/80000] lr: 1.172e-06, eta: 0:00:19, time: 0.181, data_time: 0.007, memory: 52403, decode.loss_ce: 0.1987, decode.acc_seg: 91.8807, loss: 0.1987 +2023-03-04 16:12:32,870 - mmseg - INFO - Iter [79950/80000] lr: 1.172e-06, eta: 0:00:09, time: 0.226, data_time: 0.054, memory: 52403, decode.loss_ce: 0.1950, decode.acc_seg: 91.8719, loss: 0.1950 +2023-03-04 16:12:41,722 - mmseg - INFO - Saving checkpoint at 80000 iterations +2023-03-04 16:12:42,374 - mmseg - INFO - Exp name: ablation_segformer_mit_b2_segformer_head_unet_fc_single_step_ade_pretrained_freeze_embed_80k_ade20k151_mask.py +2023-03-04 16:12:42,374 - mmseg - INFO - Iter [80000/80000] lr: 1.172e-06, eta: 0:00:00, time: 0.190, data_time: 0.007, memory: 52403, decode.loss_ce: 0.1940, decode.acc_seg: 91.9766, loss: 0.1940 +2023-03-04 16:12:58,046 - mmseg - INFO - per class results: +2023-03-04 16:12:58,052 - mmseg - INFO - ++---------------------+-------+-------+ +| Class | IoU | Acc | ++---------------------+-------+-------+ +| background | nan | nan | +| wall | 77.21 | 89.11 | +| building | 81.45 | 91.91 | +| sky | 94.4 | 97.5 | +| floor | 81.28 | 91.15 | +| tree | 73.75 | 87.5 | +| ceiling | 85.05 | 93.12 | +| road | 81.86 | 89.97 | +| bed | 87.4 | 95.38 | +| windowpane | 60.08 | 77.88 | +| grass | 67.17 | 83.15 | +| cabinet | 59.85 | 72.89 | +| sidewalk | 63.95 | 79.33 | +| person | 79.12 | 92.33 | +| earth | 35.92 | 50.38 | +| door | 45.17 | 58.81 | +| table | 60.02 | 75.98 | +| mountain | 57.94 | 72.53 | +| plant | 49.5 | 60.79 | +| curtain | 73.19 | 83.14 | +| chair | 55.95 | 68.31 | +| car | 80.83 | 92.46 | +| water | 57.73 | 76.34 | +| painting | 70.52 | 84.43 | +| sofa | 63.4 | 82.01 | +| shelf | 43.44 | 62.1 | +| house | 41.97 | 56.94 | +| sea | 60.56 | 76.55 | +| mirror | 65.22 | 73.43 | +| rug | 63.92 | 71.91 | +| field | 30.84 | 45.24 | +| armchair | 37.25 | 53.93 | +| seat | 65.79 | 83.03 | +| fence | 40.91 | 54.23 | +| desk | 46.06 | 67.27 | +| rock | 37.08 | 60.7 | +| wardrobe | 56.12 | 67.97 | +| lamp | 59.93 | 73.56 | +| bathtub | 73.98 | 81.5 | +| railing | 33.54 | 46.1 | +| cushion | 56.11 | 68.87 | +| base | 19.37 | 23.95 | +| box | 23.15 | 30.14 | +| column | 45.17 | 56.13 | +| signboard | 37.48 | 50.41 | +| chest of drawers | 35.96 | 56.45 | +| counter | 31.4 | 41.24 | +| sand | 41.78 | 58.03 | +| sink | 66.82 | 78.41 | +| skyscraper | 48.52 | 61.15 | +| fireplace | 73.59 | 85.18 | +| refrigerator | 73.56 | 86.02 | +| grandstand | 54.28 | 64.85 | +| path | 22.14 | 29.29 | +| stairs | 34.45 | 43.19 | +| runway | 66.91 | 85.85 | +| case | 47.17 | 57.56 | +| pool table | 91.43 | 94.26 | +| pillow | 60.85 | 71.21 | +| screen door | 66.72 | 72.04 | +| stairway | 23.34 | 34.36 | +| river | 11.8 | 21.62 | +| bridge | 32.54 | 37.53 | +| bookcase | 44.75 | 63.46 | +| blind | 38.11 | 42.96 | +| coffee table | 52.92 | 76.9 | +| toilet | 83.28 | 89.33 | +| flower | 38.07 | 52.32 | +| book | 43.9 | 66.28 | +| hill | 14.73 | 21.12 | +| bench | 42.2 | 54.82 | +| countertop | 52.89 | 70.12 | +| stove | 69.83 | 81.52 | +| palm | 47.96 | 68.23 | +| kitchen island | 39.57 | 60.71 | +| computer | 59.67 | 68.81 | +| swivel chair | 44.45 | 59.77 | +| boat | 68.52 | 84.9 | +| bar | 23.69 | 31.93 | +| arcade machine | 70.6 | 73.24 | +| hovel | 31.05 | 34.72 | +| bus | 77.94 | 90.46 | +| towel | 62.85 | 72.28 | +| light | 52.57 | 59.24 | +| truck | 18.52 | 24.59 | +| tower | 6.23 | 9.94 | +| chandelier | 62.78 | 76.9 | +| awning | 23.48 | 26.93 | +| streetlight | 25.5 | 34.05 | +| booth | 41.43 | 42.88 | +| television receiver | 64.3 | 75.91 | +| airplane | 58.91 | 64.84 | +| dirt track | 19.51 | 48.03 | +| apparel | 33.85 | 54.56 | +| pole | 15.97 | 20.93 | +| land | 3.9 | 5.62 | +| bannister | 11.36 | 15.62 | +| escalator | 23.52 | 24.99 | +| ottoman | 42.29 | 61.02 | +| bottle | 35.94 | 57.61 | +| buffet | 36.04 | 41.87 | +| poster | 23.59 | 33.45 | +| stage | 13.31 | 17.2 | +| van | 38.04 | 54.0 | +| ship | 77.4 | 91.59 | +| fountain | 19.64 | 20.03 | +| conveyer belt | 85.13 | 90.12 | +| canopy | 22.26 | 23.69 | +| washer | 78.76 | 80.15 | +| plaything | 20.97 | 29.02 | +| swimming pool | 72.33 | 80.14 | +| stool | 43.25 | 57.61 | +| barrel | 46.96 | 59.26 | +| basket | 26.03 | 38.14 | +| waterfall | 48.55 | 64.22 | +| tent | 94.16 | 97.65 | +| bag | 14.44 | 17.84 | +| minibike | 61.63 | 72.84 | +| cradle | 84.0 | 95.81 | +| oven | 45.76 | 64.73 | +| ball | 43.24 | 49.46 | +| food | 52.6 | 62.99 | +| step | 4.04 | 4.34 | +| tank | 49.47 | 54.74 | +| trade name | 28.48 | 31.92 | +| microwave | 73.16 | 78.54 | +| pot | 30.64 | 35.05 | +| animal | 53.06 | 59.52 | +| bicycle | 53.46 | 71.93 | +| lake | 57.55 | 62.84 | +| dishwasher | 67.02 | 76.56 | +| screen | 68.78 | 81.03 | +| blanket | 17.47 | 20.07 | +| sculpture | 56.7 | 78.18 | +| hood | 57.64 | 63.78 | +| sconce | 41.07 | 49.09 | +| vase | 36.56 | 50.18 | +| traffic light | 32.35 | 47.59 | +| tray | 6.51 | 9.65 | +| ashcan | 41.48 | 52.8 | +| fan | 57.91 | 68.45 | +| pier | 45.7 | 62.19 | +| crt screen | 9.08 | 23.49 | +| plate | 50.97 | 67.62 | +| monitor | 18.38 | 21.97 | +| bulletin board | 38.92 | 51.56 | +| shower | 1.44 | 5.93 | +| radiator | 60.84 | 68.47 | +| glass | 12.22 | 13.35 | +| clock | 33.1 | 36.12 | +| flag | 34.16 | 37.62 | ++---------------------+-------+-------+ +2023-03-04 16:12:58,052 - mmseg - INFO - Summary: +2023-03-04 16:12:58,053 - mmseg - INFO - ++-------+-------+-------+ +| aAcc | mIoU | mAcc | ++-------+-------+-------+ +| 82.59 | 47.98 | 58.82 | ++-------+-------+-------+ +2023-03-04 16:12:58,075 - mmseg - INFO - The previous best checkpoint /mnt/petrelfs/laizeqiang/mmseg-baseline/work_dirs2/ablation_segformer_mit_b2_segformer_head_unet_fc_single_step_ade_pretrained_freeze_embed_80k_ade20k151_mask/best_mIoU_iter_72000.pth was removed +2023-03-04 16:12:58,694 - mmseg - INFO - Now best checkpoint is saved as best_mIoU_iter_80000.pth. +2023-03-04 16:12:58,695 - mmseg - INFO - Best mIoU is 0.4798 at 80000 iter. +2023-03-04 16:12:58,695 - mmseg - INFO - Exp name: ablation_segformer_mit_b2_segformer_head_unet_fc_single_step_ade_pretrained_freeze_embed_80k_ade20k151_mask.py +2023-03-04 16:12:58,696 - mmseg - INFO - Iter(val) [250] aAcc: 0.8259, mIoU: 0.4798, mAcc: 0.5882, IoU.background: nan, IoU.wall: 0.7721, IoU.building: 0.8145, IoU.sky: 0.9440, IoU.floor: 0.8128, IoU.tree: 0.7375, IoU.ceiling: 0.8505, IoU.road: 0.8186, IoU.bed : 0.8740, IoU.windowpane: 0.6008, IoU.grass: 0.6717, IoU.cabinet: 0.5985, IoU.sidewalk: 0.6395, IoU.person: 0.7912, IoU.earth: 0.3592, IoU.door: 0.4517, IoU.table: 0.6002, IoU.mountain: 0.5794, IoU.plant: 0.4950, IoU.curtain: 0.7319, IoU.chair: 0.5595, IoU.car: 0.8083, IoU.water: 0.5773, IoU.painting: 0.7052, IoU.sofa: 0.6340, IoU.shelf: 0.4344, IoU.house: 0.4197, IoU.sea: 0.6056, IoU.mirror: 0.6522, IoU.rug: 0.6392, IoU.field: 0.3084, IoU.armchair: 0.3725, IoU.seat: 0.6579, IoU.fence: 0.4091, IoU.desk: 0.4606, IoU.rock: 0.3708, IoU.wardrobe: 0.5612, IoU.lamp: 0.5993, IoU.bathtub: 0.7398, IoU.railing: 0.3354, IoU.cushion: 0.5611, IoU.base: 0.1937, IoU.box: 0.2315, IoU.column: 0.4517, IoU.signboard: 0.3748, IoU.chest of drawers: 0.3596, IoU.counter: 0.3140, IoU.sand: 0.4178, IoU.sink: 0.6682, IoU.skyscraper: 0.4852, IoU.fireplace: 0.7359, IoU.refrigerator: 0.7356, IoU.grandstand: 0.5428, IoU.path: 0.2214, IoU.stairs: 0.3445, IoU.runway: 0.6691, IoU.case: 0.4717, IoU.pool table: 0.9143, IoU.pillow: 0.6085, IoU.screen door: 0.6672, IoU.stairway: 0.2334, IoU.river: 0.1180, IoU.bridge: 0.3254, IoU.bookcase: 0.4475, IoU.blind: 0.3811, IoU.coffee table: 0.5292, IoU.toilet: 0.8328, IoU.flower: 0.3807, IoU.book: 0.4390, IoU.hill: 0.1473, IoU.bench: 0.4220, IoU.countertop: 0.5289, IoU.stove: 0.6983, IoU.palm: 0.4796, IoU.kitchen island: 0.3957, IoU.computer: 0.5967, IoU.swivel chair: 0.4445, IoU.boat: 0.6852, IoU.bar: 0.2369, IoU.arcade machine: 0.7060, IoU.hovel: 0.3105, IoU.bus: 0.7794, IoU.towel: 0.6285, IoU.light: 0.5257, IoU.truck: 0.1852, IoU.tower: 0.0623, IoU.chandelier: 0.6278, IoU.awning: 0.2348, IoU.streetlight: 0.2550, IoU.booth: 0.4143, IoU.television receiver: 0.6430, IoU.airplane: 0.5891, IoU.dirt track: 0.1951, IoU.apparel: 0.3385, IoU.pole: 0.1597, IoU.land: 0.0390, IoU.bannister: 0.1136, IoU.escalator: 0.2352, IoU.ottoman: 0.4229, IoU.bottle: 0.3594, IoU.buffet: 0.3604, IoU.poster: 0.2359, IoU.stage: 0.1331, IoU.van: 0.3804, IoU.ship: 0.7740, IoU.fountain: 0.1964, IoU.conveyer belt: 0.8513, IoU.canopy: 0.2226, IoU.washer: 0.7876, IoU.plaything: 0.2097, IoU.swimming pool: 0.7233, IoU.stool: 0.4325, IoU.barrel: 0.4696, IoU.basket: 0.2603, IoU.waterfall: 0.4855, IoU.tent: 0.9416, IoU.bag: 0.1444, IoU.minibike: 0.6163, IoU.cradle: 0.8400, IoU.oven: 0.4576, IoU.ball: 0.4324, IoU.food: 0.5260, IoU.step: 0.0404, IoU.tank: 0.4947, IoU.trade name: 0.2848, IoU.microwave: 0.7316, IoU.pot: 0.3064, IoU.animal: 0.5306, IoU.bicycle: 0.5346, IoU.lake: 0.5755, IoU.dishwasher: 0.6702, IoU.screen: 0.6878, IoU.blanket: 0.1747, IoU.sculpture: 0.5670, IoU.hood: 0.5764, IoU.sconce: 0.4107, IoU.vase: 0.3656, IoU.traffic light: 0.3235, IoU.tray: 0.0651, IoU.ashcan: 0.4148, IoU.fan: 0.5791, IoU.pier: 0.4570, IoU.crt screen: 0.0908, IoU.plate: 0.5097, IoU.monitor: 0.1838, IoU.bulletin board: 0.3892, IoU.shower: 0.0144, IoU.radiator: 0.6084, IoU.glass: 0.1222, IoU.clock: 0.3310, IoU.flag: 0.3416, Acc.background: nan, Acc.wall: 0.8911, Acc.building: 0.9191, Acc.sky: 0.9750, Acc.floor: 0.9115, Acc.tree: 0.8750, Acc.ceiling: 0.9312, Acc.road: 0.8997, Acc.bed : 0.9538, Acc.windowpane: 0.7788, Acc.grass: 0.8315, Acc.cabinet: 0.7289, Acc.sidewalk: 0.7933, Acc.person: 0.9233, Acc.earth: 0.5038, Acc.door: 0.5881, Acc.table: 0.7598, Acc.mountain: 0.7253, Acc.plant: 0.6079, Acc.curtain: 0.8314, Acc.chair: 0.6831, Acc.car: 0.9246, Acc.water: 0.7634, Acc.painting: 0.8443, Acc.sofa: 0.8201, Acc.shelf: 0.6210, Acc.house: 0.5694, Acc.sea: 0.7655, Acc.mirror: 0.7343, Acc.rug: 0.7191, Acc.field: 0.4524, Acc.armchair: 0.5393, Acc.seat: 0.8303, Acc.fence: 0.5423, Acc.desk: 0.6727, Acc.rock: 0.6070, Acc.wardrobe: 0.6797, Acc.lamp: 0.7356, Acc.bathtub: 0.8150, Acc.railing: 0.4610, Acc.cushion: 0.6887, Acc.base: 0.2395, Acc.box: 0.3014, Acc.column: 0.5613, Acc.signboard: 0.5041, Acc.chest of drawers: 0.5645, Acc.counter: 0.4124, Acc.sand: 0.5803, Acc.sink: 0.7841, Acc.skyscraper: 0.6115, Acc.fireplace: 0.8518, Acc.refrigerator: 0.8602, Acc.grandstand: 0.6485, Acc.path: 0.2929, Acc.stairs: 0.4319, Acc.runway: 0.8585, Acc.case: 0.5756, Acc.pool table: 0.9426, Acc.pillow: 0.7121, Acc.screen door: 0.7204, Acc.stairway: 0.3436, Acc.river: 0.2162, Acc.bridge: 0.3753, Acc.bookcase: 0.6346, Acc.blind: 0.4296, Acc.coffee table: 0.7690, Acc.toilet: 0.8933, Acc.flower: 0.5232, Acc.book: 0.6628, Acc.hill: 0.2112, Acc.bench: 0.5482, Acc.countertop: 0.7012, Acc.stove: 0.8152, Acc.palm: 0.6823, Acc.kitchen island: 0.6071, Acc.computer: 0.6881, Acc.swivel chair: 0.5977, Acc.boat: 0.8490, Acc.bar: 0.3193, Acc.arcade machine: 0.7324, Acc.hovel: 0.3472, Acc.bus: 0.9046, Acc.towel: 0.7228, Acc.light: 0.5924, Acc.truck: 0.2459, Acc.tower: 0.0994, Acc.chandelier: 0.7690, Acc.awning: 0.2693, Acc.streetlight: 0.3405, Acc.booth: 0.4288, Acc.television receiver: 0.7591, Acc.airplane: 0.6484, Acc.dirt track: 0.4803, Acc.apparel: 0.5456, Acc.pole: 0.2093, Acc.land: 0.0562, Acc.bannister: 0.1562, Acc.escalator: 0.2499, Acc.ottoman: 0.6102, Acc.bottle: 0.5761, Acc.buffet: 0.4187, Acc.poster: 0.3345, Acc.stage: 0.1720, Acc.van: 0.5400, Acc.ship: 0.9159, Acc.fountain: 0.2003, Acc.conveyer belt: 0.9012, Acc.canopy: 0.2369, Acc.washer: 0.8015, Acc.plaything: 0.2902, Acc.swimming pool: 0.8014, Acc.stool: 0.5761, Acc.barrel: 0.5926, Acc.basket: 0.3814, Acc.waterfall: 0.6422, Acc.tent: 0.9765, Acc.bag: 0.1784, Acc.minibike: 0.7284, Acc.cradle: 0.9581, Acc.oven: 0.6473, Acc.ball: 0.4946, Acc.food: 0.6299, Acc.step: 0.0434, Acc.tank: 0.5474, Acc.trade name: 0.3192, Acc.microwave: 0.7854, Acc.pot: 0.3505, Acc.animal: 0.5952, Acc.bicycle: 0.7193, Acc.lake: 0.6284, Acc.dishwasher: 0.7656, Acc.screen: 0.8103, Acc.blanket: 0.2007, Acc.sculpture: 0.7818, Acc.hood: 0.6378, Acc.sconce: 0.4909, Acc.vase: 0.5018, Acc.traffic light: 0.4759, Acc.tray: 0.0965, Acc.ashcan: 0.5280, Acc.fan: 0.6845, Acc.pier: 0.6219, Acc.crt screen: 0.2349, Acc.plate: 0.6762, Acc.monitor: 0.2197, Acc.bulletin board: 0.5156, Acc.shower: 0.0593, Acc.radiator: 0.6847, Acc.glass: 0.1335, Acc.clock: 0.3612, Acc.flag: 0.3762 diff --git a/ablation/ablation_segformer_mit_b2_segformer_head_unet_fc_single_step_ade_pretrained_freeze_embed_80k_ade20k151_mask/20230304_122534.log.json b/ablation/ablation_segformer_mit_b2_segformer_head_unet_fc_single_step_ade_pretrained_freeze_embed_80k_ade20k151_mask/20230304_122534.log.json new file mode 100644 index 0000000000000000000000000000000000000000..e1874a07949457561e28e9549eeba82eae4dffb5 --- /dev/null +++ b/ablation/ablation_segformer_mit_b2_segformer_head_unet_fc_single_step_ade_pretrained_freeze_embed_80k_ade20k151_mask/20230304_122534.log.json @@ -0,0 +1,1452 @@ +{"env_info": "sys.platform: linux\nPython: 3.7.16 (default, Jan 17 2023, 22:20:44) [GCC 11.2.0]\nCUDA available: True\nGPU 0,1,2,3,4,5,6,7: NVIDIA A100-SXM4-80GB\nCUDA_HOME: /mnt/petrelfs/laizeqiang/miniconda3/envs/torch\nNVCC: Cuda compilation tools, release 11.6, V11.6.124\nGCC: gcc (GCC) 4.8.5 20150623 (Red Hat 4.8.5-44)\nPyTorch: 1.13.1\nPyTorch compiling details: PyTorch built with:\n - GCC 9.3\n - C++ Version: 201402\n - Intel(R) oneAPI Math Kernel Library Version 2021.4-Product Build 20210904 for Intel(R) 64 architecture applications\n - Intel(R) MKL-DNN v2.6.0 (Git Hash 52b5f107dd9cf10910aaa19cb47f3abf9b349815)\n - OpenMP 201511 (a.k.a. OpenMP 4.5)\n - LAPACK is enabled (usually provided by MKL)\n - NNPACK is enabled\n - CPU capability usage: AVX2\n - CUDA Runtime 11.6\n - NVCC architecture flags: -gencode;arch=compute_37,code=sm_37;-gencode;arch=compute_50,code=sm_50;-gencode;arch=compute_60,code=sm_60;-gencode;arch=compute_61,code=sm_61;-gencode;arch=compute_70,code=sm_70;-gencode;arch=compute_75,code=sm_75;-gencode;arch=compute_80,code=sm_80;-gencode;arch=compute_86,code=sm_86;-gencode;arch=compute_37,code=compute_37\n - CuDNN 8.3.2 (built against CUDA 11.5)\n - Magma 2.6.1\n - Build settings: BLAS_INFO=mkl, BUILD_TYPE=Release, CUDA_VERSION=11.6, CUDNN_VERSION=8.3.2, CXX_COMPILER=/opt/rh/devtoolset-9/root/usr/bin/c++, CXX_FLAGS= -fabi-version=11 -Wno-deprecated -fvisibility-inlines-hidden -DUSE_PTHREADPOOL -fopenmp -DNDEBUG -DUSE_KINETO -DUSE_FBGEMM -DUSE_QNNPACK -DUSE_PYTORCH_QNNPACK -DUSE_XNNPACK -DSYMBOLICATE_MOBILE_DEBUG_HANDLE -DEDGE_PROFILER_USE_KINETO -O2 -fPIC -Wno-narrowing -Wall -Wextra -Werror=return-type -Werror=non-virtual-dtor -Wno-missing-field-initializers -Wno-type-limits -Wno-array-bounds -Wno-unknown-pragmas -Wunused-local-typedefs -Wno-unused-parameter -Wno-unused-function -Wno-unused-result -Wno-strict-overflow -Wno-strict-aliasing -Wno-error=deprecated-declarations -Wno-stringop-overflow -Wno-psabi -Wno-error=pedantic -Wno-error=redundant-decls -Wno-error=old-style-cast -fdiagnostics-color=always -faligned-new -Wno-unused-but-set-variable -Wno-maybe-uninitialized -fno-math-errno -fno-trapping-math -Werror=format -Werror=cast-function-type -Wno-stringop-overflow, LAPACK_INFO=mkl, PERF_WITH_AVX=1, PERF_WITH_AVX2=1, PERF_WITH_AVX512=1, TORCH_VERSION=1.13.1, USE_CUDA=ON, USE_CUDNN=ON, USE_EXCEPTION_PTR=1, USE_GFLAGS=OFF, USE_GLOG=OFF, USE_MKL=ON, USE_MKLDNN=ON, USE_MPI=OFF, USE_NCCL=ON, USE_NNPACK=ON, USE_OPENMP=ON, USE_ROCM=OFF, \n\nTorchVision: 0.14.1\nOpenCV: 4.7.0\nMMCV: 1.7.1\nMMCV Compiler: GCC 9.3\nMMCV CUDA Compiler: 11.6\nMMSegmentation: 0.30.0+d4f0cb3", "seed": 385564379, "exp_name": "ablation_segformer_mit_b2_segformer_head_unet_fc_single_step_ade_pretrained_freeze_embed_80k_ade20k151_mask.py", "mmseg_version": "0.30.0+d4f0cb3", "config": "norm_cfg = dict(type='SyncBN', requires_grad=True)\ncheckpoint = 'pretrained/segformer_mit-b2_512x512_160k_ade20k_20220620_114047-64e4feca.pth'\nmodel = dict(\n type='EncoderDecoderFreeze',\n freeze_parameters=['backbone', 'decode_head'],\n pretrained=\n 'pretrained/segformer_mit-b2_512x512_160k_ade20k_20220620_114047-64e4feca.pth',\n backbone=dict(\n type='MixVisionTransformerCustomInitWeights',\n in_channels=3,\n embed_dims=64,\n num_stages=4,\n num_layers=[3, 4, 6, 3],\n num_heads=[1, 2, 5, 8],\n patch_sizes=[7, 3, 3, 3],\n sr_ratios=[8, 4, 2, 1],\n out_indices=(0, 1, 2, 3),\n mlp_ratio=4,\n qkv_bias=True,\n drop_rate=0.0,\n attn_drop_rate=0.0,\n drop_path_rate=0.1,\n pretrained=\n 'pretrained/segformer_mit-b2_512x512_160k_ade20k_20220620_114047-64e4feca.pth'\n ),\n decode_head=dict(\n type='SegformerHeadUnetFCHeadSingleStepMask',\n pretrained=\n 'pretrained/segformer_mit-b2_512x512_160k_ade20k_20220620_114047-64e4feca.pth',\n dim=128,\n out_dim=256,\n unet_channels=272,\n dim_mults=[1, 1, 1],\n cat_embedding_dim=16,\n in_channels=[64, 128, 320, 512],\n in_index=[0, 1, 2, 3],\n channels=256,\n dropout_ratio=0.1,\n num_classes=151,\n norm_cfg=dict(type='SyncBN', requires_grad=True),\n align_corners=False,\n ignore_index=0,\n loss_decode=dict(\n type='CrossEntropyLoss', use_sigmoid=False, loss_weight=1.0)),\n train_cfg=dict(),\n test_cfg=dict(mode='whole'))\ndataset_type = 'ADE20K151Dataset'\ndata_root = 'data/ade/ADEChallengeData2016'\nimg_norm_cfg = dict(\n mean=[123.675, 116.28, 103.53], std=[58.395, 57.12, 57.375], to_rgb=True)\ncrop_size = (512, 512)\ntrain_pipeline = [\n dict(type='LoadImageFromFile'),\n dict(type='LoadAnnotations', reduce_zero_label=False),\n dict(type='Resize', img_scale=(2048, 512), ratio_range=(0.5, 2.0)),\n dict(type='RandomCrop', crop_size=(512, 512), cat_max_ratio=0.75),\n dict(type='RandomFlip', prob=0.5),\n dict(type='PhotoMetricDistortion'),\n dict(\n type='Normalize',\n mean=[123.675, 116.28, 103.53],\n std=[58.395, 57.12, 57.375],\n to_rgb=True),\n dict(type='Pad', size=(512, 512), pad_val=0, seg_pad_val=0),\n dict(type='DefaultFormatBundle'),\n dict(type='Collect', keys=['img', 'gt_semantic_seg'])\n]\ntest_pipeline = [\n dict(type='LoadImageFromFile'),\n dict(\n type='MultiScaleFlipAug',\n img_scale=(2048, 512),\n flip=False,\n transforms=[\n dict(type='Resize', keep_ratio=True),\n dict(type='RandomFlip'),\n dict(\n type='Normalize',\n mean=[123.675, 116.28, 103.53],\n std=[58.395, 57.12, 57.375],\n to_rgb=True),\n dict(type='Pad', size_divisor=16, pad_val=0, seg_pad_val=0),\n dict(type='ImageToTensor', keys=['img']),\n dict(type='Collect', keys=['img'])\n ])\n]\ndata = dict(\n samples_per_gpu=4,\n workers_per_gpu=4,\n train=dict(\n type='ADE20K151Dataset',\n data_root='data/ade/ADEChallengeData2016',\n img_dir='images/training',\n ann_dir='annotations/training',\n pipeline=[\n dict(type='LoadImageFromFile'),\n dict(type='LoadAnnotations', reduce_zero_label=False),\n dict(type='Resize', img_scale=(2048, 512), ratio_range=(0.5, 2.0)),\n dict(type='RandomCrop', crop_size=(512, 512), cat_max_ratio=0.75),\n dict(type='RandomFlip', prob=0.5),\n dict(type='PhotoMetricDistortion'),\n dict(\n type='Normalize',\n mean=[123.675, 116.28, 103.53],\n std=[58.395, 57.12, 57.375],\n to_rgb=True),\n dict(type='Pad', size=(512, 512), pad_val=0, seg_pad_val=0),\n dict(type='DefaultFormatBundle'),\n dict(type='Collect', keys=['img', 'gt_semantic_seg'])\n ]),\n val=dict(\n type='ADE20K151Dataset',\n data_root='data/ade/ADEChallengeData2016',\n img_dir='images/validation',\n ann_dir='annotations/validation',\n pipeline=[\n dict(type='LoadImageFromFile'),\n dict(\n type='MultiScaleFlipAug',\n img_scale=(2048, 512),\n flip=False,\n transforms=[\n dict(type='Resize', keep_ratio=True),\n dict(type='RandomFlip'),\n dict(\n type='Normalize',\n mean=[123.675, 116.28, 103.53],\n std=[58.395, 57.12, 57.375],\n to_rgb=True),\n dict(\n type='Pad', size_divisor=16, pad_val=0, seg_pad_val=0),\n dict(type='ImageToTensor', keys=['img']),\n dict(type='Collect', keys=['img'])\n ])\n ]),\n test=dict(\n type='ADE20K151Dataset',\n data_root='data/ade/ADEChallengeData2016',\n img_dir='images/validation',\n ann_dir='annotations/validation',\n pipeline=[\n dict(type='LoadImageFromFile'),\n dict(\n type='MultiScaleFlipAug',\n img_scale=(2048, 512),\n flip=False,\n transforms=[\n dict(type='Resize', keep_ratio=True),\n dict(type='RandomFlip'),\n dict(\n type='Normalize',\n mean=[123.675, 116.28, 103.53],\n std=[58.395, 57.12, 57.375],\n to_rgb=True),\n dict(\n type='Pad', size_divisor=16, pad_val=0, seg_pad_val=0),\n dict(type='ImageToTensor', keys=['img']),\n dict(type='Collect', keys=['img'])\n ])\n ]))\nlog_config = dict(\n interval=50, hooks=[dict(type='TextLoggerHook', by_epoch=False)])\ndist_params = dict(backend='nccl')\nlog_level = 'INFO'\nload_from = None\nresume_from = None\nworkflow = [('train', 1)]\ncudnn_benchmark = True\noptimizer = dict(\n type='AdamW', lr=0.00015, betas=[0.9, 0.96], weight_decay=0.045)\noptimizer_config = dict()\nlr_config = dict(\n policy='step',\n warmup='linear',\n warmup_iters=1000,\n warmup_ratio=1e-06,\n step=10000,\n gamma=0.5,\n min_lr=1e-06,\n by_epoch=False)\nrunner = dict(type='IterBasedRunner', max_iters=80000)\ncheckpoint_config = dict(by_epoch=False, interval=8000)\nevaluation = dict(\n interval=8000, metric='mIoU', pre_eval=True, save_best='mIoU')\nwork_dir = './work_dirs2/ablation_segformer_mit_b2_segformer_head_unet_fc_single_step_ade_pretrained_freeze_embed_80k_ade20k151_mask'\ngpu_ids = range(0, 8)\nauto_resume = True\ndevice = 'cuda'\nseed = 385564379\n", "CLASSES": ["background", "wall", "building", "sky", "floor", "tree", "ceiling", "road", "bed ", "windowpane", "grass", "cabinet", "sidewalk", "person", "earth", "door", "table", "mountain", "plant", "curtain", "chair", "car", "water", "painting", "sofa", "shelf", "house", "sea", "mirror", "rug", "field", "armchair", "seat", "fence", "desk", "rock", "wardrobe", "lamp", "bathtub", "railing", "cushion", "base", "box", "column", "signboard", "chest of drawers", "counter", "sand", "sink", "skyscraper", "fireplace", "refrigerator", "grandstand", "path", "stairs", "runway", "case", "pool table", "pillow", "screen door", "stairway", "river", "bridge", "bookcase", "blind", "coffee table", "toilet", "flower", "book", "hill", "bench", "countertop", "stove", "palm", "kitchen island", "computer", "swivel chair", "boat", "bar", "arcade machine", "hovel", "bus", "towel", "light", "truck", "tower", "chandelier", "awning", "streetlight", "booth", "television receiver", "airplane", "dirt track", "apparel", "pole", "land", "bannister", "escalator", "ottoman", "bottle", "buffet", "poster", "stage", "van", "ship", 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b/ablation/ablation_segformer_mit_b2_segformer_head_unet_fc_single_step_ade_pretrained_freeze_embed_80k_ade20k151_mask/ablation_segformer_mit_b2_segformer_head_unet_fc_single_step_ade_pretrained_freeze_embed_80k_ade20k151_mask.py new file mode 100644 index 0000000000000000000000000000000000000000..f5e7f2b04979b3a26e94a51fafc4b5edf801e69d --- /dev/null +++ b/ablation/ablation_segformer_mit_b2_segformer_head_unet_fc_single_step_ade_pretrained_freeze_embed_80k_ade20k151_mask/ablation_segformer_mit_b2_segformer_head_unet_fc_single_step_ade_pretrained_freeze_embed_80k_ade20k151_mask.py @@ -0,0 +1,184 @@ +norm_cfg = dict(type='SyncBN', requires_grad=True) +checkpoint = 'pretrained/segformer_mit-b2_512x512_160k_ade20k_20220620_114047-64e4feca.pth' +model = dict( + type='EncoderDecoderFreeze', + freeze_parameters=['backbone', 'decode_head'], + pretrained= + 'pretrained/segformer_mit-b2_512x512_160k_ade20k_20220620_114047-64e4feca.pth', + backbone=dict( + type='MixVisionTransformerCustomInitWeights', + in_channels=3, + embed_dims=64, + num_stages=4, + num_layers=[3, 4, 6, 3], + num_heads=[1, 2, 5, 8], + patch_sizes=[7, 3, 3, 3], + sr_ratios=[8, 4, 2, 1], + out_indices=(0, 1, 2, 3), + mlp_ratio=4, + qkv_bias=True, + drop_rate=0.0, + attn_drop_rate=0.0, + drop_path_rate=0.1), + decode_head=dict( + type='SegformerHeadUnetFCHeadSingleStepMask', + pretrained= + 'pretrained/segformer_mit-b2_512x512_160k_ade20k_20220620_114047-64e4feca.pth', + dim=128, + out_dim=256, + unet_channels=272, + dim_mults=[1, 1, 1], + cat_embedding_dim=16, + in_channels=[64, 128, 320, 512], + in_index=[0, 1, 2, 3], + channels=256, + dropout_ratio=0.1, + num_classes=151, + norm_cfg=dict(type='SyncBN', requires_grad=True), + align_corners=False, + ignore_index=0, + loss_decode=dict( + type='CrossEntropyLoss', use_sigmoid=False, loss_weight=1.0)), + train_cfg=dict(), + test_cfg=dict(mode='whole')) +dataset_type = 'ADE20K151Dataset' +data_root = 'data/ade/ADEChallengeData2016' +img_norm_cfg = dict( + mean=[123.675, 116.28, 103.53], std=[58.395, 57.12, 57.375], to_rgb=True) +crop_size = (512, 512) +train_pipeline = [ + dict(type='LoadImageFromFile'), + dict(type='LoadAnnotations', reduce_zero_label=False), + dict(type='Resize', img_scale=(2048, 512), ratio_range=(0.5, 2.0)), + dict(type='RandomCrop', crop_size=(512, 512), cat_max_ratio=0.75), + dict(type='RandomFlip', prob=0.5), + dict(type='PhotoMetricDistortion'), + dict( + type='Normalize', + mean=[123.675, 116.28, 103.53], + std=[58.395, 57.12, 57.375], + to_rgb=True), + dict(type='Pad', size=(512, 512), pad_val=0, seg_pad_val=0), + dict(type='DefaultFormatBundle'), + dict(type='Collect', keys=['img', 'gt_semantic_seg']) +] +test_pipeline = [ + dict(type='LoadImageFromFile'), + dict( + type='MultiScaleFlipAug', + img_scale=(2048, 512), + flip=False, + transforms=[ + dict(type='Resize', keep_ratio=True), + dict(type='RandomFlip'), + dict( + type='Normalize', + mean=[123.675, 116.28, 103.53], + std=[58.395, 57.12, 57.375], + to_rgb=True), + dict(type='Pad', size_divisor=16, pad_val=0, seg_pad_val=0), + dict(type='ImageToTensor', keys=['img']), + dict(type='Collect', keys=['img']) + ]) +] +data = dict( + samples_per_gpu=4, + workers_per_gpu=4, + train=dict( + type='ADE20K151Dataset', + data_root='data/ade/ADEChallengeData2016', + img_dir='images/training', + ann_dir='annotations/training', + pipeline=[ + dict(type='LoadImageFromFile'), + dict(type='LoadAnnotations', reduce_zero_label=False), + dict(type='Resize', img_scale=(2048, 512), ratio_range=(0.5, 2.0)), + dict(type='RandomCrop', crop_size=(512, 512), cat_max_ratio=0.75), + dict(type='RandomFlip', prob=0.5), + dict(type='PhotoMetricDistortion'), + dict( + type='Normalize', + mean=[123.675, 116.28, 103.53], + std=[58.395, 57.12, 57.375], + to_rgb=True), + dict(type='Pad', size=(512, 512), pad_val=0, seg_pad_val=0), + dict(type='DefaultFormatBundle'), + dict(type='Collect', keys=['img', 'gt_semantic_seg']) + ]), + val=dict( + type='ADE20K151Dataset', + data_root='data/ade/ADEChallengeData2016', + img_dir='images/validation', + ann_dir='annotations/validation', + pipeline=[ + dict(type='LoadImageFromFile'), + dict( + type='MultiScaleFlipAug', + img_scale=(2048, 512), + flip=False, + transforms=[ + dict(type='Resize', keep_ratio=True), + dict(type='RandomFlip'), + dict( + type='Normalize', + mean=[123.675, 116.28, 103.53], + std=[58.395, 57.12, 57.375], + to_rgb=True), + dict( + type='Pad', size_divisor=16, pad_val=0, seg_pad_val=0), + dict(type='ImageToTensor', keys=['img']), + dict(type='Collect', keys=['img']) + ]) + ]), + test=dict( + type='ADE20K151Dataset', + data_root='data/ade/ADEChallengeData2016', + img_dir='images/validation', + ann_dir='annotations/validation', + pipeline=[ + dict(type='LoadImageFromFile'), + dict( + type='MultiScaleFlipAug', + img_scale=(2048, 512), + flip=False, + transforms=[ + dict(type='Resize', keep_ratio=True), + dict(type='RandomFlip'), + dict( + type='Normalize', + mean=[123.675, 116.28, 103.53], + std=[58.395, 57.12, 57.375], + to_rgb=True), + dict( + type='Pad', size_divisor=16, pad_val=0, seg_pad_val=0), + dict(type='ImageToTensor', keys=['img']), + dict(type='Collect', keys=['img']) + ]) + ])) +log_config = dict( + interval=50, hooks=[dict(type='TextLoggerHook', by_epoch=False)]) +dist_params = dict(backend='nccl') +log_level = 'INFO' +load_from = None +resume_from = None +workflow = [('train', 1)] +cudnn_benchmark = True +optimizer = dict( + type='AdamW', lr=0.00015, betas=[0.9, 0.96], weight_decay=0.045) +optimizer_config = dict() +lr_config = dict( + policy='step', + warmup='linear', + warmup_iters=1000, + warmup_ratio=1e-06, + step=10000, + gamma=0.5, + min_lr=1e-06, + by_epoch=False) +runner = dict(type='IterBasedRunner', max_iters=80000) +checkpoint_config = dict(by_epoch=False, interval=8000) +evaluation = dict( + interval=8000, metric='mIoU', pre_eval=True, save_best='mIoU') 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/mnt/petrelfs/laizeqiang/miniconda3/envs/torch +NVCC: Cuda compilation tools, release 11.6, V11.6.124 +GCC: gcc (GCC) 4.8.5 20150623 (Red Hat 4.8.5-44) +PyTorch: 1.13.1 +PyTorch compiling details: PyTorch built with: + - GCC 9.3 + - C++ Version: 201402 + - Intel(R) oneAPI Math Kernel Library Version 2021.4-Product Build 20210904 for Intel(R) 64 architecture applications + - Intel(R) MKL-DNN v2.6.0 (Git Hash 52b5f107dd9cf10910aaa19cb47f3abf9b349815) + - OpenMP 201511 (a.k.a. OpenMP 4.5) + - LAPACK is enabled (usually provided by MKL) + - NNPACK is enabled + - CPU capability usage: AVX2 + - CUDA Runtime 11.6 + - NVCC architecture flags: -gencode;arch=compute_37,code=sm_37;-gencode;arch=compute_50,code=sm_50;-gencode;arch=compute_60,code=sm_60;-gencode;arch=compute_61,code=sm_61;-gencode;arch=compute_70,code=sm_70;-gencode;arch=compute_75,code=sm_75;-gencode;arch=compute_80,code=sm_80;-gencode;arch=compute_86,code=sm_86;-gencode;arch=compute_37,code=compute_37 + - CuDNN 8.3.2 (built against CUDA 11.5) + - Magma 2.6.1 + - Build settings: BLAS_INFO=mkl, BUILD_TYPE=Release, CUDA_VERSION=11.6, CUDNN_VERSION=8.3.2, CXX_COMPILER=/opt/rh/devtoolset-9/root/usr/bin/c++, CXX_FLAGS= -fabi-version=11 -Wno-deprecated -fvisibility-inlines-hidden -DUSE_PTHREADPOOL -fopenmp -DNDEBUG -DUSE_KINETO -DUSE_FBGEMM -DUSE_QNNPACK -DUSE_PYTORCH_QNNPACK -DUSE_XNNPACK -DSYMBOLICATE_MOBILE_DEBUG_HANDLE -DEDGE_PROFILER_USE_KINETO -O2 -fPIC -Wno-narrowing -Wall -Wextra -Werror=return-type -Werror=non-virtual-dtor -Wno-missing-field-initializers -Wno-type-limits -Wno-array-bounds -Wno-unknown-pragmas -Wunused-local-typedefs -Wno-unused-parameter -Wno-unused-function -Wno-unused-result -Wno-strict-overflow -Wno-strict-aliasing -Wno-error=deprecated-declarations -Wno-stringop-overflow -Wno-psabi -Wno-error=pedantic -Wno-error=redundant-decls -Wno-error=old-style-cast -fdiagnostics-color=always -faligned-new -Wno-unused-but-set-variable -Wno-maybe-uninitialized -fno-math-errno -fno-trapping-math -Werror=format -Werror=cast-function-type -Wno-stringop-overflow, LAPACK_INFO=mkl, PERF_WITH_AVX=1, PERF_WITH_AVX2=1, PERF_WITH_AVX512=1, TORCH_VERSION=1.13.1, USE_CUDA=ON, USE_CUDNN=ON, USE_EXCEPTION_PTR=1, USE_GFLAGS=OFF, USE_GLOG=OFF, USE_MKL=ON, USE_MKLDNN=ON, USE_MPI=OFF, USE_NCCL=ON, USE_NNPACK=ON, USE_OPENMP=ON, USE_ROCM=OFF, + +TorchVision: 0.14.1 +OpenCV: 4.7.0 +MMCV: 1.7.1 +MMCV Compiler: GCC 9.3 +MMCV CUDA Compiler: 11.6 +MMSegmentation: 0.30.0+6db5ece +------------------------------------------------------------ + +2023-03-05 23:10:50,169 - mmseg - INFO - Distributed training: True +2023-03-05 23:10:50,859 - mmseg - INFO - Config: +norm_cfg = dict(type='SyncBN', requires_grad=True) +checkpoint = 'work_dirs2/segformer_mit_b2_segformer_head_unet_fc_single_step_ade_pretrained_freeze_embed_80k_ade20k151/best_mIoU_iter_64000.pth' +model = dict( + type='EncoderDecoderDiffusion', + freeze_parameters=['backbone', 'decode_head'], + pretrained= + 'work_dirs2/segformer_mit_b2_segformer_head_unet_fc_single_step_ade_pretrained_freeze_embed_80k_ade20k151/best_mIoU_iter_64000.pth', + backbone=dict( + type='MixVisionTransformerCustomInitWeights', + in_channels=3, + embed_dims=64, + num_stages=4, + num_layers=[3, 4, 6, 3], + num_heads=[1, 2, 5, 8], + patch_sizes=[7, 3, 3, 3], + sr_ratios=[8, 4, 2, 1], + out_indices=(0, 1, 2, 3), + mlp_ratio=4, + qkv_bias=True, + drop_rate=0.0, + attn_drop_rate=0.0, + drop_path_rate=0.1), + decode_head=dict( + type='SegformerHeadUnetFCHeadMultiStepCE', + pretrained= + 'work_dirs2/segformer_mit_b2_segformer_head_unet_fc_single_step_ade_pretrained_freeze_embed_80k_ade20k151/best_mIoU_iter_64000.pth', + dim=128, + out_dim=256, + unet_channels=272, + dim_mults=[1, 1, 1], + cat_embedding_dim=16, + diffusion_timesteps=100, + collect_timesteps=[0, 10, 20, 30, 40, 50, 60, 70, 80, 90, 99], + in_channels=[64, 128, 320, 512], + in_index=[0, 1, 2, 3], + channels=256, + dropout_ratio=0.1, + num_classes=151, + norm_cfg=dict(type='SyncBN', requires_grad=True), + align_corners=False, + ignore_index=0, + loss_decode=dict( + type='CrossEntropyLoss', use_sigmoid=False, loss_weight=0.1)), + train_cfg=dict(), + test_cfg=dict(mode='whole')) +dataset_type = 'ADE20K151Dataset' +data_root = 'data/ade/ADEChallengeData2016' +img_norm_cfg = dict( + mean=[123.675, 116.28, 103.53], std=[58.395, 57.12, 57.375], to_rgb=True) +crop_size = (512, 512) +train_pipeline = [ + dict(type='LoadImageFromFile'), + dict(type='LoadAnnotations', reduce_zero_label=False), + dict(type='Resize', img_scale=(2048, 512), ratio_range=(0.5, 2.0)), + dict(type='RandomCrop', crop_size=(512, 512), cat_max_ratio=0.75), + dict(type='RandomFlip', prob=0.5), + dict(type='PhotoMetricDistortion'), + dict( + type='Normalize', + mean=[123.675, 116.28, 103.53], + std=[58.395, 57.12, 57.375], + to_rgb=True), + dict(type='Pad', size=(512, 512), pad_val=0, seg_pad_val=0), + dict(type='DefaultFormatBundle'), + dict(type='Collect', keys=['img', 'gt_semantic_seg']) +] +test_pipeline = [ + dict(type='LoadImageFromFile'), + dict( + type='MultiScaleFlipAug', + img_scale=(2048, 512), + flip=False, + transforms=[ + dict(type='Resize', keep_ratio=True), + dict(type='RandomFlip'), + dict( + type='Normalize', + mean=[123.675, 116.28, 103.53], + std=[58.395, 57.12, 57.375], + to_rgb=True), + dict(type='Pad', size_divisor=16, pad_val=0, seg_pad_val=0), + dict(type='ImageToTensor', keys=['img']), + dict(type='Collect', keys=['img']) + ]) +] +data = dict( + samples_per_gpu=4, + workers_per_gpu=4, + train=dict( + type='ADE20K151Dataset', + data_root='data/ade/ADEChallengeData2016', + img_dir='images/training', + ann_dir='annotations/training', + pipeline=[ + dict(type='LoadImageFromFile'), + dict(type='LoadAnnotations', reduce_zero_label=False), + dict(type='Resize', img_scale=(2048, 512), ratio_range=(0.5, 2.0)), + dict(type='RandomCrop', crop_size=(512, 512), cat_max_ratio=0.75), + dict(type='RandomFlip', prob=0.5), + dict(type='PhotoMetricDistortion'), + dict( + type='Normalize', + mean=[123.675, 116.28, 103.53], + std=[58.395, 57.12, 57.375], + to_rgb=True), + dict(type='Pad', size=(512, 512), pad_val=0, seg_pad_val=0), + dict(type='DefaultFormatBundle'), + dict(type='Collect', keys=['img', 'gt_semantic_seg']) + ]), + val=dict( + type='ADE20K151Dataset', + data_root='data/ade/ADEChallengeData2016', + img_dir='images/validation', + ann_dir='annotations/validation', + pipeline=[ + dict(type='LoadImageFromFile'), + dict( + type='MultiScaleFlipAug', + img_scale=(2048, 512), + flip=False, + transforms=[ + dict(type='Resize', keep_ratio=True), + dict(type='RandomFlip'), + dict( + type='Normalize', + mean=[123.675, 116.28, 103.53], + std=[58.395, 57.12, 57.375], + to_rgb=True), + dict( + type='Pad', size_divisor=16, pad_val=0, seg_pad_val=0), + dict(type='ImageToTensor', keys=['img']), + dict(type='Collect', keys=['img']) + ]) + ]), + test=dict( + type='ADE20K151Dataset', + data_root='data/ade/ADEChallengeData2016', + img_dir='images/validation', + ann_dir='annotations/validation', + pipeline=[ + dict(type='LoadImageFromFile'), + dict( + type='MultiScaleFlipAug', + img_scale=(2048, 512), + flip=False, + transforms=[ + dict(type='Resize', keep_ratio=True), + dict(type='RandomFlip'), + dict( + type='Normalize', + mean=[123.675, 116.28, 103.53], + std=[58.395, 57.12, 57.375], + to_rgb=True), + dict( + type='Pad', size_divisor=16, pad_val=0, seg_pad_val=0), + dict(type='ImageToTensor', keys=['img']), + dict(type='Collect', keys=['img']) + ]) + ])) +log_config = dict( + interval=50, hooks=[dict(type='TextLoggerHook', by_epoch=False)]) +dist_params = dict(backend='nccl') +log_level = 'INFO' +load_from = None +resume_from = None +workflow = [('train', 1)] +cudnn_benchmark = True +optimizer = dict( + type='AdamW', lr=0.00015, betas=[0.9, 0.96], weight_decay=0.045) +optimizer_config = dict() +lr_config = dict( + policy='step', + warmup='linear', + warmup_iters=1000, + warmup_ratio=1e-06, + step=20000, + gamma=0.5, + min_lr=1e-06, + by_epoch=False) +runner = dict(type='IterBasedRunner', max_iters=160000) +checkpoint_config = dict(by_epoch=False, interval=16000, max_keep_ckpts=1) +evaluation = dict( + interval=16000, metric='mIoU', pre_eval=True, save_best='mIoU') +custom_hooks = [ + dict( + type='ConstantMomentumEMAHook', + momentum=0.01, + interval=25, + eval_interval=16000, + auto_resume=True, + priority=49) +] +work_dir = './work_dirs2/ablation_segformer_mit_b2_segformer_head_unet_fc_small_multi_step_ade_pretrained_freeze_embed_160k_ade20k151_finetune_ema_ce' +gpu_ids = range(0, 8) +auto_resume = True + +2023-03-05 23:10:55,198 - mmseg - INFO - Set random seed to 1580901347, deterministic: False +2023-03-05 23:10:55,464 - mmseg - INFO - Parameters in backbone freezed! +2023-03-05 23:10:55,465 - mmseg - INFO - Trainable parameters in SegformerHeadUnetFCHeadMultiStep: ['unet.init_conv.weight', 'unet.init_conv.bias', 'unet.time_mlp.1.weight', 'unet.time_mlp.1.bias', 'unet.time_mlp.3.weight', 'unet.time_mlp.3.bias', 'unet.downs.0.0.mlp.1.weight', 'unet.downs.0.0.mlp.1.bias', 'unet.downs.0.0.block1.proj.weight', 'unet.downs.0.0.block1.proj.bias', 'unet.downs.0.0.block1.norm.weight', 'unet.downs.0.0.block1.norm.bias', 'unet.downs.0.0.block2.proj.weight', 'unet.downs.0.0.block2.proj.bias', 'unet.downs.0.0.block2.norm.weight', 'unet.downs.0.0.block2.norm.bias', 'unet.downs.0.1.mlp.1.weight', 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checkpoint from local path: work_dirs2/segformer_mit_b2_segformer_head_unet_fc_single_step_ade_pretrained_freeze_embed_80k_ade20k151/best_mIoU_iter_64000.pth +2023-03-05 23:10:56,307 - mmseg - WARNING - The model and loaded state dict do not match exactly + +unexpected key in source state_dict: decode_head.convs.0.conv.weight, decode_head.convs.0.bn.weight, decode_head.convs.0.bn.bias, decode_head.convs.0.bn.running_mean, decode_head.convs.0.bn.running_var, decode_head.convs.0.bn.num_batches_tracked, decode_head.convs.1.conv.weight, decode_head.convs.1.bn.weight, decode_head.convs.1.bn.bias, decode_head.convs.1.bn.running_mean, decode_head.convs.1.bn.running_var, decode_head.convs.1.bn.num_batches_tracked, decode_head.convs.2.conv.weight, decode_head.convs.2.bn.weight, decode_head.convs.2.bn.bias, decode_head.convs.2.bn.running_mean, decode_head.convs.2.bn.running_var, decode_head.convs.2.bn.num_batches_tracked, decode_head.convs.3.conv.weight, decode_head.convs.3.bn.weight, 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decode_head.unet.final_conv.bias, decode_head.conv_seg_new.weight, decode_head.conv_seg_new.bias, decode_head.embed.weight + +2023-03-05 23:10:56,324 - mmseg - INFO - load checkpoint from local path: work_dirs2/segformer_mit_b2_segformer_head_unet_fc_single_step_ade_pretrained_freeze_embed_80k_ade20k151/best_mIoU_iter_64000.pth +2023-03-05 23:10:56,771 - mmseg - WARNING - The model and loaded state dict do not match exactly + +unexpected key in source state_dict: backbone.layers.0.0.projection.weight, backbone.layers.0.0.projection.bias, backbone.layers.0.0.norm.weight, backbone.layers.0.0.norm.bias, backbone.layers.0.1.0.norm1.weight, backbone.layers.0.1.0.norm1.bias, backbone.layers.0.1.0.attn.attn.in_proj_weight, backbone.layers.0.1.0.attn.attn.in_proj_bias, backbone.layers.0.1.0.attn.attn.out_proj.weight, backbone.layers.0.1.0.attn.attn.out_proj.bias, backbone.layers.0.1.0.attn.sr.weight, backbone.layers.0.1.0.attn.sr.bias, backbone.layers.0.1.0.attn.norm.weight, 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elementwise_affine=True) + ) + (norm2): LayerNorm((320,), eps=1e-06, elementwise_affine=True) + (ffn): MixFFN( + (activate): GELU(approximate='none') + (layers): Sequential( + (0): Conv2d(320, 1280, kernel_size=(1, 1), stride=(1, 1)) + (1): Conv2d(1280, 1280, kernel_size=(3, 3), stride=(1, 1), padding=(1, 1), groups=1280) + (2): GELU(approximate='none') + (3): Dropout(p=0.0, inplace=False) + (4): Conv2d(1280, 320, kernel_size=(1, 1), stride=(1, 1)) + (5): Dropout(p=0.0, inplace=False) + ) + (dropout_layer): DropPath() + ) + ) + (2): TransformerEncoderLayer( + (norm1): LayerNorm((320,), eps=1e-06, elementwise_affine=True) + (attn): EfficientMultiheadAttention( + (attn): MultiheadAttention( + (out_proj): NonDynamicallyQuantizableLinear(in_features=320, out_features=320, bias=True) + ) + (proj_drop): Dropout(p=0.0, inplace=False) + (dropout_layer): DropPath() + (sr): Conv2d(320, 320, kernel_size=(2, 2), stride=(2, 2)) + (norm): LayerNorm((320,), eps=1e-06, elementwise_affine=True) + ) + 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eps=1e-06, elementwise_affine=True) + (ffn): MixFFN( + (activate): GELU(approximate='none') + (layers): Sequential( + (0): Conv2d(320, 1280, kernel_size=(1, 1), stride=(1, 1)) + (1): Conv2d(1280, 1280, kernel_size=(3, 3), stride=(1, 1), padding=(1, 1), groups=1280) + (2): GELU(approximate='none') + (3): Dropout(p=0.0, inplace=False) + (4): Conv2d(1280, 320, kernel_size=(1, 1), stride=(1, 1)) + (5): Dropout(p=0.0, inplace=False) + ) + (dropout_layer): DropPath() + ) + ) + (4): TransformerEncoderLayer( + (norm1): LayerNorm((320,), eps=1e-06, elementwise_affine=True) + (attn): EfficientMultiheadAttention( + (attn): MultiheadAttention( + (out_proj): NonDynamicallyQuantizableLinear(in_features=320, out_features=320, bias=True) + ) + (proj_drop): Dropout(p=0.0, inplace=False) + (dropout_layer): DropPath() + (sr): Conv2d(320, 320, kernel_size=(2, 2), stride=(2, 2)) + (norm): LayerNorm((320,), eps=1e-06, elementwise_affine=True) + ) + (norm2): LayerNorm((320,), eps=1e-06, elementwise_affine=True) + (ffn): MixFFN( + (activate): GELU(approximate='none') + (layers): Sequential( + (0): Conv2d(320, 1280, kernel_size=(1, 1), stride=(1, 1)) + (1): Conv2d(1280, 1280, kernel_size=(3, 3), stride=(1, 1), padding=(1, 1), groups=1280) + (2): GELU(approximate='none') + (3): Dropout(p=0.0, inplace=False) + (4): Conv2d(1280, 320, kernel_size=(1, 1), stride=(1, 1)) + (5): Dropout(p=0.0, inplace=False) + ) + (dropout_layer): DropPath() + ) + ) + (5): TransformerEncoderLayer( + (norm1): LayerNorm((320,), eps=1e-06, elementwise_affine=True) + (attn): EfficientMultiheadAttention( + (attn): MultiheadAttention( + (out_proj): NonDynamicallyQuantizableLinear(in_features=320, out_features=320, bias=True) + ) + (proj_drop): Dropout(p=0.0, inplace=False) + (dropout_layer): DropPath() + (sr): Conv2d(320, 320, kernel_size=(2, 2), stride=(2, 2)) + (norm): LayerNorm((320,), eps=1e-06, elementwise_affine=True) + ) + (norm2): LayerNorm((320,), eps=1e-06, elementwise_affine=True) + (ffn): MixFFN( + (activate): GELU(approximate='none') + (layers): Sequential( + (0): Conv2d(320, 1280, kernel_size=(1, 1), stride=(1, 1)) + (1): Conv2d(1280, 1280, kernel_size=(3, 3), stride=(1, 1), padding=(1, 1), groups=1280) + (2): GELU(approximate='none') + (3): Dropout(p=0.0, inplace=False) + (4): Conv2d(1280, 320, kernel_size=(1, 1), stride=(1, 1)) + (5): Dropout(p=0.0, inplace=False) + ) + (dropout_layer): DropPath() + ) + ) + ) + (2): LayerNorm((320,), eps=1e-06, elementwise_affine=True) + ) + (3): ModuleList( + (0): PatchEmbed( + (projection): Conv2d(320, 512, kernel_size=(3, 3), stride=(2, 2), padding=(1, 1)) + (norm): LayerNorm((512,), eps=1e-06, elementwise_affine=True) + ) + (1): ModuleList( + (0): TransformerEncoderLayer( + (norm1): LayerNorm((512,), eps=1e-06, elementwise_affine=True) + (attn): EfficientMultiheadAttention( + (attn): MultiheadAttention( + (out_proj): NonDynamicallyQuantizableLinear(in_features=512, out_features=512, bias=True) + ) + (proj_drop): Dropout(p=0.0, inplace=False) + (dropout_layer): DropPath() + ) + (norm2): LayerNorm((512,), eps=1e-06, elementwise_affine=True) + (ffn): MixFFN( + (activate): GELU(approximate='none') + (layers): Sequential( + (0): Conv2d(512, 2048, kernel_size=(1, 1), stride=(1, 1)) + (1): Conv2d(2048, 2048, kernel_size=(3, 3), stride=(1, 1), padding=(1, 1), groups=2048) + (2): GELU(approximate='none') + (3): Dropout(p=0.0, inplace=False) + (4): Conv2d(2048, 512, kernel_size=(1, 1), stride=(1, 1)) + (5): Dropout(p=0.0, inplace=False) + ) + (dropout_layer): DropPath() + ) + ) + (1): TransformerEncoderLayer( + (norm1): LayerNorm((512,), eps=1e-06, elementwise_affine=True) + (attn): EfficientMultiheadAttention( + (attn): MultiheadAttention( + (out_proj): NonDynamicallyQuantizableLinear(in_features=512, out_features=512, bias=True) + ) + (proj_drop): Dropout(p=0.0, inplace=False) + (dropout_layer): DropPath() + ) + (norm2): LayerNorm((512,), eps=1e-06, elementwise_affine=True) + (ffn): MixFFN( + (activate): GELU(approximate='none') + (layers): Sequential( + (0): Conv2d(512, 2048, kernel_size=(1, 1), stride=(1, 1)) + (1): Conv2d(2048, 2048, kernel_size=(3, 3), stride=(1, 1), padding=(1, 1), groups=2048) + (2): GELU(approximate='none') + (3): Dropout(p=0.0, inplace=False) + (4): Conv2d(2048, 512, kernel_size=(1, 1), stride=(1, 1)) + (5): Dropout(p=0.0, inplace=False) + ) + (dropout_layer): DropPath() + ) + ) + (2): TransformerEncoderLayer( + (norm1): LayerNorm((512,), eps=1e-06, elementwise_affine=True) + (attn): EfficientMultiheadAttention( + (attn): MultiheadAttention( + (out_proj): NonDynamicallyQuantizableLinear(in_features=512, out_features=512, bias=True) + ) + (proj_drop): Dropout(p=0.0, inplace=False) + (dropout_layer): DropPath() + ) + (norm2): LayerNorm((512,), eps=1e-06, elementwise_affine=True) + (ffn): MixFFN( + (activate): GELU(approximate='none') + (layers): Sequential( + (0): Conv2d(512, 2048, kernel_size=(1, 1), stride=(1, 1)) + (1): Conv2d(2048, 2048, kernel_size=(3, 3), stride=(1, 1), padding=(1, 1), groups=2048) + (2): GELU(approximate='none') + (3): Dropout(p=0.0, inplace=False) + (4): Conv2d(2048, 512, kernel_size=(1, 1), stride=(1, 1)) + (5): Dropout(p=0.0, inplace=False) + ) + (dropout_layer): DropPath() + ) + ) + ) + (2): LayerNorm((512,), eps=1e-06, elementwise_affine=True) + ) + ) + ) + init_cfg={'type': 'Pretrained', 'checkpoint': 'work_dirs2/segformer_mit_b2_segformer_head_unet_fc_single_step_ade_pretrained_freeze_embed_80k_ade20k151/best_mIoU_iter_64000.pth'} + (decode_head): SegformerHeadUnetFCHeadMultiStepCE( + input_transform=multiple_select, ignore_index=0, align_corners=False + (loss_decode): CrossEntropyLoss(avg_non_ignore=False) + (conv_seg): None + (dropout): Dropout2d(p=0.1, inplace=False) + (convs): ModuleList( + (0): ConvModule( + (conv): Conv2d(64, 256, kernel_size=(1, 1), stride=(1, 1), bias=False) + (bn): SyncBatchNorm(256, eps=1e-05, momentum=0.1, affine=True, track_running_stats=True) + (activate): ReLU(inplace=True) + ) + (1): ConvModule( + (conv): Conv2d(128, 256, kernel_size=(1, 1), stride=(1, 1), bias=False) + (bn): SyncBatchNorm(256, eps=1e-05, momentum=0.1, affine=True, track_running_stats=True) + (activate): ReLU(inplace=True) + ) + (2): ConvModule( + (conv): Conv2d(320, 256, kernel_size=(1, 1), stride=(1, 1), bias=False) + (bn): SyncBatchNorm(256, eps=1e-05, momentum=0.1, affine=True, track_running_stats=True) + (activate): ReLU(inplace=True) + ) + (3): ConvModule( + (conv): Conv2d(512, 256, kernel_size=(1, 1), stride=(1, 1), bias=False) + (bn): SyncBatchNorm(256, eps=1e-05, momentum=0.1, affine=True, track_running_stats=True) + (activate): ReLU(inplace=True) + ) + ) + (fusion_conv): ConvModule( + (conv): Conv2d(1024, 256, kernel_size=(1, 1), stride=(1, 1), bias=False) + (bn): SyncBatchNorm(256, eps=1e-05, momentum=0.1, affine=True, track_running_stats=True) + (activate): ReLU(inplace=True) + ) + (unet): Unet( + (init_conv): Conv2d(272, 128, kernel_size=(7, 7), stride=(1, 1), padding=(3, 3)) + (time_mlp): Sequential( + (0): SinusoidalPosEmb() + (1): Linear(in_features=128, out_features=512, bias=True) + (2): GELU(approximate='none') + (3): Linear(in_features=512, out_features=512, bias=True) + ) + (downs): ModuleList( + (0): ModuleList( + (0): ResnetBlock( + (mlp): Sequential( + (0): SiLU() + (1): Linear(in_features=512, out_features=256, bias=True) + ) + (block1): Block( + (proj): WeightStandardizedConv2d(128, 128, kernel_size=(3, 3), stride=(1, 1), padding=(1, 1)) + (norm): GroupNorm(8, 128, eps=1e-05, affine=True) + (act): SiLU() + ) + (block2): Block( + (proj): WeightStandardizedConv2d(128, 128, kernel_size=(3, 3), stride=(1, 1), padding=(1, 1)) + (norm): GroupNorm(8, 128, eps=1e-05, affine=True) + (act): SiLU() + ) + (res_conv): Identity() + ) + (1): ResnetBlock( + (mlp): Sequential( + (0): SiLU() + (1): Linear(in_features=512, out_features=256, bias=True) + ) + (block1): Block( + (proj): WeightStandardizedConv2d(128, 128, kernel_size=(3, 3), stride=(1, 1), padding=(1, 1)) + (norm): GroupNorm(8, 128, eps=1e-05, affine=True) + (act): SiLU() + ) + (block2): Block( + (proj): WeightStandardizedConv2d(128, 128, kernel_size=(3, 3), stride=(1, 1), padding=(1, 1)) + (norm): GroupNorm(8, 128, eps=1e-05, affine=True) + (act): SiLU() + ) + (res_conv): Identity() + ) + (2): Residual( + (fn): PreNorm( + (fn): LinearAttention( + (to_qkv): Conv2d(128, 384, kernel_size=(1, 1), stride=(1, 1), bias=False) + (to_out): Sequential( + (0): Conv2d(128, 128, kernel_size=(1, 1), stride=(1, 1)) + (1): LayerNorm() + ) + ) + (norm): LayerNorm() + ) + ) + (3): Conv2d(128, 128, kernel_size=(4, 4), stride=(2, 2), padding=(1, 1)) + ) + (1): ModuleList( + (0): ResnetBlock( + (mlp): Sequential( + (0): SiLU() + (1): Linear(in_features=512, out_features=256, bias=True) + ) + (block1): Block( + (proj): WeightStandardizedConv2d(128, 128, kernel_size=(3, 3), stride=(1, 1), padding=(1, 1)) + (norm): GroupNorm(8, 128, eps=1e-05, affine=True) + (act): SiLU() + ) + 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LayerNorm() + ) + ) + (3): Conv2d(128, 128, kernel_size=(4, 4), stride=(2, 2), padding=(1, 1)) + ) + (2): ModuleList( + (0): ResnetBlock( + (mlp): Sequential( + (0): SiLU() + (1): Linear(in_features=512, out_features=256, bias=True) + ) + (block1): Block( + (proj): WeightStandardizedConv2d(128, 128, kernel_size=(3, 3), stride=(1, 1), padding=(1, 1)) + (norm): GroupNorm(8, 128, eps=1e-05, affine=True) + (act): SiLU() + ) + (block2): Block( + (proj): WeightStandardizedConv2d(128, 128, kernel_size=(3, 3), stride=(1, 1), padding=(1, 1)) + (norm): GroupNorm(8, 128, eps=1e-05, affine=True) + (act): SiLU() + ) + (res_conv): Identity() + ) + (1): ResnetBlock( + (mlp): Sequential( + (0): SiLU() + (1): Linear(in_features=512, out_features=256, bias=True) + ) + (block1): Block( + (proj): WeightStandardizedConv2d(128, 128, kernel_size=(3, 3), stride=(1, 1), padding=(1, 1)) + (norm): GroupNorm(8, 128, eps=1e-05, affine=True) + (act): SiLU() + ) + (block2): Block( + (proj): 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padding=(1, 1)) + (norm): GroupNorm(8, 128, eps=1e-05, affine=True) + (act): SiLU() + ) + (res_conv): Conv2d(256, 128, kernel_size=(1, 1), stride=(1, 1)) + ) + (1): ResnetBlock( + (mlp): Sequential( + (0): SiLU() + (1): Linear(in_features=512, out_features=256, bias=True) + ) + (block1): Block( + (proj): WeightStandardizedConv2d(256, 128, kernel_size=(3, 3), stride=(1, 1), padding=(1, 1)) + (norm): GroupNorm(8, 128, eps=1e-05, affine=True) + (act): SiLU() + ) + (block2): Block( + (proj): WeightStandardizedConv2d(128, 128, kernel_size=(3, 3), stride=(1, 1), padding=(1, 1)) + (norm): GroupNorm(8, 128, eps=1e-05, affine=True) + (act): SiLU() + ) + (res_conv): Conv2d(256, 128, kernel_size=(1, 1), stride=(1, 1)) + ) + (2): Residual( + (fn): PreNorm( + (fn): LinearAttention( + (to_qkv): Conv2d(128, 384, kernel_size=(1, 1), stride=(1, 1), bias=False) + (to_out): Sequential( + (0): Conv2d(128, 128, kernel_size=(1, 1), stride=(1, 1)) + (1): LayerNorm() + ) + ) + (norm): LayerNorm() + ) + ) + (3): Sequential( + (0): Upsample(scale_factor=2.0, mode=nearest) + (1): Conv2d(128, 128, kernel_size=(3, 3), stride=(1, 1), padding=(1, 1)) + ) + ) + (1): ModuleList( + (0): ResnetBlock( + (mlp): Sequential( + (0): SiLU() + (1): Linear(in_features=512, out_features=256, bias=True) + ) + (block1): Block( + (proj): WeightStandardizedConv2d(256, 128, kernel_size=(3, 3), stride=(1, 1), padding=(1, 1)) + (norm): GroupNorm(8, 128, eps=1e-05, affine=True) + (act): SiLU() + ) + (block2): Block( + (proj): WeightStandardizedConv2d(128, 128, kernel_size=(3, 3), stride=(1, 1), padding=(1, 1)) + (norm): GroupNorm(8, 128, eps=1e-05, affine=True) + (act): SiLU() + ) + (res_conv): Conv2d(256, 128, kernel_size=(1, 1), stride=(1, 1)) + ) + (1): ResnetBlock( + (mlp): Sequential( + (0): SiLU() + (1): Linear(in_features=512, out_features=256, bias=True) + ) + (block1): Block( + (proj): WeightStandardizedConv2d(256, 128, kernel_size=(3, 3), stride=(1, 1), padding=(1, 1)) + (norm): GroupNorm(8, 128, eps=1e-05, affine=True) + (act): SiLU() + ) + (block2): Block( + (proj): WeightStandardizedConv2d(128, 128, kernel_size=(3, 3), stride=(1, 1), padding=(1, 1)) + (norm): GroupNorm(8, 128, eps=1e-05, affine=True) + (act): SiLU() + ) + (res_conv): Conv2d(256, 128, kernel_size=(1, 1), stride=(1, 1)) + ) + (2): Residual( + (fn): PreNorm( + (fn): LinearAttention( + (to_qkv): Conv2d(128, 384, kernel_size=(1, 1), stride=(1, 1), bias=False) + (to_out): Sequential( + (0): Conv2d(128, 128, kernel_size=(1, 1), stride=(1, 1)) + (1): LayerNorm() + ) + ) + (norm): LayerNorm() + ) + ) + (3): Sequential( + (0): Upsample(scale_factor=2.0, mode=nearest) + (1): Conv2d(128, 128, kernel_size=(3, 3), stride=(1, 1), padding=(1, 1)) + ) + ) + (2): ModuleList( + (0): ResnetBlock( + (mlp): Sequential( + (0): SiLU() + (1): Linear(in_features=512, out_features=256, bias=True) + ) + (block1): Block( + (proj): WeightStandardizedConv2d(256, 128, kernel_size=(3, 3), stride=(1, 1), padding=(1, 1)) + (norm): GroupNorm(8, 128, eps=1e-05, affine=True) + (act): SiLU() + ) + (block2): Block( + (proj): WeightStandardizedConv2d(128, 128, kernel_size=(3, 3), stride=(1, 1), padding=(1, 1)) + (norm): GroupNorm(8, 128, eps=1e-05, affine=True) + (act): SiLU() + ) + (res_conv): Conv2d(256, 128, kernel_size=(1, 1), stride=(1, 1)) + ) + (1): ResnetBlock( + (mlp): Sequential( + (0): SiLU() + (1): Linear(in_features=512, out_features=256, bias=True) + ) + (block1): Block( + (proj): WeightStandardizedConv2d(256, 128, kernel_size=(3, 3), stride=(1, 1), padding=(1, 1)) + (norm): GroupNorm(8, 128, eps=1e-05, affine=True) + (act): SiLU() + ) + (block2): Block( + (proj): WeightStandardizedConv2d(128, 128, kernel_size=(3, 3), stride=(1, 1), padding=(1, 1)) + (norm): GroupNorm(8, 128, eps=1e-05, affine=True) + (act): SiLU() + ) + (res_conv): Conv2d(256, 128, kernel_size=(1, 1), stride=(1, 1)) + ) + (2): Residual( + (fn): PreNorm( + (fn): LinearAttention( + (to_qkv): Conv2d(128, 384, kernel_size=(1, 1), stride=(1, 1), bias=False) + (to_out): Sequential( + (0): Conv2d(128, 128, kernel_size=(1, 1), stride=(1, 1)) + (1): LayerNorm() + ) + ) + (norm): LayerNorm() + ) + ) + (3): Conv2d(128, 128, kernel_size=(3, 3), stride=(1, 1), padding=(1, 1)) + ) + ) + (mid_block1): ResnetBlock( + (mlp): Sequential( + (0): SiLU() + (1): Linear(in_features=512, out_features=256, bias=True) + ) + (block1): Block( + (proj): WeightStandardizedConv2d(128, 128, kernel_size=(3, 3), stride=(1, 1), padding=(1, 1)) + (norm): GroupNorm(8, 128, eps=1e-05, affine=True) + (act): SiLU() + ) + (block2): Block( + (proj): WeightStandardizedConv2d(128, 128, kernel_size=(3, 3), stride=(1, 1), padding=(1, 1)) + (norm): GroupNorm(8, 128, eps=1e-05, affine=True) + (act): SiLU() + ) + (res_conv): Identity() + ) + (mid_attn): Residual( + (fn): PreNorm( + (fn): Attention( + (to_qkv): Conv2d(128, 384, kernel_size=(1, 1), stride=(1, 1), bias=False) + (to_out): Conv2d(128, 128, kernel_size=(1, 1), stride=(1, 1)) + ) + (norm): LayerNorm() + ) + ) + (mid_block2): ResnetBlock( + (mlp): Sequential( + (0): SiLU() + (1): Linear(in_features=512, out_features=256, bias=True) + ) + (block1): Block( + (proj): WeightStandardizedConv2d(128, 128, kernel_size=(3, 3), stride=(1, 1), padding=(1, 1)) + (norm): GroupNorm(8, 128, eps=1e-05, affine=True) + (act): SiLU() + ) + (block2): Block( + (proj): WeightStandardizedConv2d(128, 128, kernel_size=(3, 3), stride=(1, 1), padding=(1, 1)) + (norm): GroupNorm(8, 128, eps=1e-05, affine=True) + (act): SiLU() + ) + (res_conv): Identity() + ) + (final_res_block): ResnetBlock( + (mlp): Sequential( + (0): SiLU() + (1): Linear(in_features=512, out_features=256, bias=True) + ) + (block1): Block( + (proj): WeightStandardizedConv2d(256, 128, kernel_size=(3, 3), stride=(1, 1), padding=(1, 1)) + (norm): GroupNorm(8, 128, eps=1e-05, affine=True) + (act): SiLU() + ) + (block2): Block( + (proj): WeightStandardizedConv2d(128, 128, kernel_size=(3, 3), stride=(1, 1), padding=(1, 1)) + (norm): GroupNorm(8, 128, eps=1e-05, affine=True) + (act): SiLU() + ) + (res_conv): Conv2d(256, 128, kernel_size=(1, 1), stride=(1, 1)) + ) + (final_conv): Conv2d(128, 256, kernel_size=(1, 1), stride=(1, 1)) + ) + (conv_seg_new): Conv2d(256, 151, kernel_size=(1, 1), stride=(1, 1)) + (embed): Embedding(151, 16) + ) + init_cfg={'type': 'Pretrained', 'checkpoint': 'work_dirs2/segformer_mit_b2_segformer_head_unet_fc_single_step_ade_pretrained_freeze_embed_80k_ade20k151/best_mIoU_iter_64000.pth'} +) +2023-03-05 23:10:57,286 - mmseg - INFO - Loaded 20210 images +2023-03-05 23:11:00,862 - mmseg - INFO - Loaded 2000 images +2023-03-05 23:11:00,864 - mmseg - INFO - Start running, host: laizeqiang@SH-IDC1-10-140-37-110, work_dir: /mnt/petrelfs/laizeqiang/mmseg-baseline/work_dirs2/ablation_segformer_mit_b2_segformer_head_unet_fc_small_multi_step_ade_pretrained_freeze_embed_160k_ade20k151_finetune_ema_ce +2023-03-05 23:11:00,865 - mmseg - INFO - Hooks will be executed in the following order: +before_run: +(VERY_HIGH ) StepLrUpdaterHook +(49 ) ConstantMomentumEMAHook +(NORMAL ) CheckpointHook +(LOW ) DistEvalHookMultiSteps +(VERY_LOW ) TextLoggerHook + -------------------- +before_train_epoch: +(VERY_HIGH ) StepLrUpdaterHook +(LOW ) IterTimerHook +(LOW ) DistEvalHookMultiSteps +(VERY_LOW ) TextLoggerHook + -------------------- +before_train_iter: +(VERY_HIGH ) StepLrUpdaterHook +(49 ) ConstantMomentumEMAHook +(LOW ) IterTimerHook +(LOW ) DistEvalHookMultiSteps + -------------------- +after_train_iter: +(ABOVE_NORMAL) OptimizerHook +(49 ) ConstantMomentumEMAHook +(NORMAL ) CheckpointHook +(LOW ) IterTimerHook +(LOW ) DistEvalHookMultiSteps +(VERY_LOW ) TextLoggerHook + -------------------- +after_train_epoch: +(NORMAL ) CheckpointHook +(LOW ) DistEvalHookMultiSteps +(VERY_LOW ) TextLoggerHook + -------------------- +before_val_epoch: +(LOW ) IterTimerHook +(VERY_LOW ) TextLoggerHook + -------------------- +before_val_iter: +(LOW ) IterTimerHook + -------------------- +after_val_iter: +(LOW ) IterTimerHook + -------------------- +after_val_epoch: +(VERY_LOW ) TextLoggerHook + -------------------- +after_run: +(VERY_LOW ) TextLoggerHook + -------------------- +2023-03-05 23:11:00,865 - mmseg - INFO - workflow: [('train', 1)], max: 160000 iters +2023-03-05 23:11:00,901 - mmseg - INFO - Checkpoints will be saved to /mnt/petrelfs/laizeqiang/mmseg-baseline/work_dirs2/ablation_segformer_mit_b2_segformer_head_unet_fc_small_multi_step_ade_pretrained_freeze_embed_160k_ade20k151_finetune_ema_ce by HardDiskBackend. +2023-03-05 23:11:25,138 - mmseg - INFO - Swap parameters (before train) before iter [1] diff --git a/ablation/ablation_segformer_mit_b2_segformer_head_unet_fc_small_multi_step_ade_pretrained_freeze_embed_160k_ade20k151_finetune_ema_ce/20230305_231050.log.json b/ablation/ablation_segformer_mit_b2_segformer_head_unet_fc_small_multi_step_ade_pretrained_freeze_embed_160k_ade20k151_finetune_ema_ce/20230305_231050.log.json new file mode 100644 index 0000000000000000000000000000000000000000..f9051159b69010ac014eb78e508cad2e3cb752ac --- /dev/null +++ b/ablation/ablation_segformer_mit_b2_segformer_head_unet_fc_small_multi_step_ade_pretrained_freeze_embed_160k_ade20k151_finetune_ema_ce/20230305_231050.log.json @@ -0,0 +1 @@ +{"env_info": "sys.platform: linux\nPython: 3.7.16 (default, Jan 17 2023, 22:20:44) [GCC 11.2.0]\nCUDA available: True\nGPU 0,1,2,3,4,5,6,7: NVIDIA A100-SXM4-80GB\nCUDA_HOME: /mnt/petrelfs/laizeqiang/miniconda3/envs/torch\nNVCC: Cuda compilation tools, release 11.6, V11.6.124\nGCC: gcc (GCC) 4.8.5 20150623 (Red Hat 4.8.5-44)\nPyTorch: 1.13.1\nPyTorch compiling details: PyTorch built with:\n - GCC 9.3\n - C++ Version: 201402\n - Intel(R) oneAPI Math Kernel Library Version 2021.4-Product Build 20210904 for Intel(R) 64 architecture applications\n - Intel(R) MKL-DNN v2.6.0 (Git Hash 52b5f107dd9cf10910aaa19cb47f3abf9b349815)\n - OpenMP 201511 (a.k.a. OpenMP 4.5)\n - LAPACK is enabled (usually provided by MKL)\n - NNPACK is enabled\n - CPU capability usage: AVX2\n - CUDA Runtime 11.6\n - NVCC architecture flags: -gencode;arch=compute_37,code=sm_37;-gencode;arch=compute_50,code=sm_50;-gencode;arch=compute_60,code=sm_60;-gencode;arch=compute_61,code=sm_61;-gencode;arch=compute_70,code=sm_70;-gencode;arch=compute_75,code=sm_75;-gencode;arch=compute_80,code=sm_80;-gencode;arch=compute_86,code=sm_86;-gencode;arch=compute_37,code=compute_37\n - CuDNN 8.3.2 (built against CUDA 11.5)\n - Magma 2.6.1\n - Build settings: BLAS_INFO=mkl, BUILD_TYPE=Release, CUDA_VERSION=11.6, CUDNN_VERSION=8.3.2, CXX_COMPILER=/opt/rh/devtoolset-9/root/usr/bin/c++, CXX_FLAGS= -fabi-version=11 -Wno-deprecated -fvisibility-inlines-hidden -DUSE_PTHREADPOOL -fopenmp -DNDEBUG -DUSE_KINETO -DUSE_FBGEMM -DUSE_QNNPACK -DUSE_PYTORCH_QNNPACK -DUSE_XNNPACK -DSYMBOLICATE_MOBILE_DEBUG_HANDLE -DEDGE_PROFILER_USE_KINETO -O2 -fPIC -Wno-narrowing -Wall -Wextra -Werror=return-type -Werror=non-virtual-dtor -Wno-missing-field-initializers -Wno-type-limits -Wno-array-bounds -Wno-unknown-pragmas -Wunused-local-typedefs -Wno-unused-parameter -Wno-unused-function -Wno-unused-result -Wno-strict-overflow -Wno-strict-aliasing -Wno-error=deprecated-declarations -Wno-stringop-overflow -Wno-psabi -Wno-error=pedantic -Wno-error=redundant-decls -Wno-error=old-style-cast -fdiagnostics-color=always -faligned-new -Wno-unused-but-set-variable -Wno-maybe-uninitialized -fno-math-errno -fno-trapping-math -Werror=format -Werror=cast-function-type -Wno-stringop-overflow, LAPACK_INFO=mkl, PERF_WITH_AVX=1, PERF_WITH_AVX2=1, PERF_WITH_AVX512=1, TORCH_VERSION=1.13.1, USE_CUDA=ON, USE_CUDNN=ON, USE_EXCEPTION_PTR=1, USE_GFLAGS=OFF, USE_GLOG=OFF, USE_MKL=ON, USE_MKLDNN=ON, USE_MPI=OFF, USE_NCCL=ON, USE_NNPACK=ON, USE_OPENMP=ON, USE_ROCM=OFF, \n\nTorchVision: 0.14.1\nOpenCV: 4.7.0\nMMCV: 1.7.1\nMMCV Compiler: GCC 9.3\nMMCV CUDA Compiler: 11.6\nMMSegmentation: 0.30.0+6db5ece", "seed": 1580901347, "exp_name": "ablation_segformer_mit_b2_segformer_head_unet_fc_small_multi_step_ade_pretrained_freeze_embed_160k_ade20k151_finetune_ema_ce.py", "mmseg_version": "0.30.0+6db5ece", "config": "norm_cfg = dict(type='SyncBN', requires_grad=True)\ncheckpoint = 'work_dirs2/segformer_mit_b2_segformer_head_unet_fc_single_step_ade_pretrained_freeze_embed_80k_ade20k151/best_mIoU_iter_64000.pth'\nmodel = dict(\n type='EncoderDecoderDiffusion',\n freeze_parameters=['backbone', 'decode_head'],\n pretrained=\n 'work_dirs2/segformer_mit_b2_segformer_head_unet_fc_single_step_ade_pretrained_freeze_embed_80k_ade20k151/best_mIoU_iter_64000.pth',\n backbone=dict(\n type='MixVisionTransformerCustomInitWeights',\n in_channels=3,\n embed_dims=64,\n num_stages=4,\n num_layers=[3, 4, 6, 3],\n num_heads=[1, 2, 5, 8],\n patch_sizes=[7, 3, 3, 3],\n sr_ratios=[8, 4, 2, 1],\n out_indices=(0, 1, 2, 3),\n mlp_ratio=4,\n qkv_bias=True,\n drop_rate=0.0,\n attn_drop_rate=0.0,\n drop_path_rate=0.1,\n pretrained=\n 'work_dirs2/segformer_mit_b2_segformer_head_unet_fc_single_step_ade_pretrained_freeze_embed_80k_ade20k151/best_mIoU_iter_64000.pth'\n ),\n decode_head=dict(\n type='SegformerHeadUnetFCHeadMultiStepCE',\n pretrained=\n 'work_dirs2/segformer_mit_b2_segformer_head_unet_fc_single_step_ade_pretrained_freeze_embed_80k_ade20k151/best_mIoU_iter_64000.pth',\n dim=128,\n out_dim=256,\n unet_channels=272,\n dim_mults=[1, 1, 1],\n cat_embedding_dim=16,\n diffusion_timesteps=100,\n collect_timesteps=[0, 10, 20, 30, 40, 50, 60, 70, 80, 90, 99],\n in_channels=[64, 128, 320, 512],\n in_index=[0, 1, 2, 3],\n channels=256,\n dropout_ratio=0.1,\n num_classes=151,\n norm_cfg=dict(type='SyncBN', requires_grad=True),\n align_corners=False,\n ignore_index=0,\n loss_decode=dict(\n type='CrossEntropyLoss', use_sigmoid=False, loss_weight=0.1)),\n train_cfg=dict(),\n test_cfg=dict(mode='whole'))\ndataset_type = 'ADE20K151Dataset'\ndata_root = 'data/ade/ADEChallengeData2016'\nimg_norm_cfg = dict(\n mean=[123.675, 116.28, 103.53], std=[58.395, 57.12, 57.375], to_rgb=True)\ncrop_size = (512, 512)\ntrain_pipeline = [\n dict(type='LoadImageFromFile'),\n dict(type='LoadAnnotations', reduce_zero_label=False),\n dict(type='Resize', img_scale=(2048, 512), ratio_range=(0.5, 2.0)),\n dict(type='RandomCrop', crop_size=(512, 512), cat_max_ratio=0.75),\n dict(type='RandomFlip', prob=0.5),\n dict(type='PhotoMetricDistortion'),\n dict(\n type='Normalize',\n mean=[123.675, 116.28, 103.53],\n std=[58.395, 57.12, 57.375],\n to_rgb=True),\n dict(type='Pad', size=(512, 512), pad_val=0, seg_pad_val=0),\n dict(type='DefaultFormatBundle'),\n dict(type='Collect', keys=['img', 'gt_semantic_seg'])\n]\ntest_pipeline = [\n dict(type='LoadImageFromFile'),\n dict(\n type='MultiScaleFlipAug',\n img_scale=(2048, 512),\n flip=False,\n transforms=[\n dict(type='Resize', keep_ratio=True),\n dict(type='RandomFlip'),\n dict(\n type='Normalize',\n mean=[123.675, 116.28, 103.53],\n std=[58.395, 57.12, 57.375],\n to_rgb=True),\n dict(type='Pad', size_divisor=16, pad_val=0, seg_pad_val=0),\n dict(type='ImageToTensor', keys=['img']),\n dict(type='Collect', keys=['img'])\n ])\n]\ndata = dict(\n samples_per_gpu=4,\n workers_per_gpu=4,\n train=dict(\n type='ADE20K151Dataset',\n data_root='data/ade/ADEChallengeData2016',\n img_dir='images/training',\n ann_dir='annotations/training',\n pipeline=[\n dict(type='LoadImageFromFile'),\n dict(type='LoadAnnotations', reduce_zero_label=False),\n dict(type='Resize', img_scale=(2048, 512), ratio_range=(0.5, 2.0)),\n dict(type='RandomCrop', crop_size=(512, 512), cat_max_ratio=0.75),\n dict(type='RandomFlip', prob=0.5),\n dict(type='PhotoMetricDistortion'),\n dict(\n type='Normalize',\n mean=[123.675, 116.28, 103.53],\n std=[58.395, 57.12, 57.375],\n to_rgb=True),\n dict(type='Pad', size=(512, 512), pad_val=0, seg_pad_val=0),\n dict(type='DefaultFormatBundle'),\n dict(type='Collect', keys=['img', 'gt_semantic_seg'])\n ]),\n val=dict(\n type='ADE20K151Dataset',\n data_root='data/ade/ADEChallengeData2016',\n img_dir='images/validation',\n ann_dir='annotations/validation',\n pipeline=[\n dict(type='LoadImageFromFile'),\n dict(\n type='MultiScaleFlipAug',\n img_scale=(2048, 512),\n flip=False,\n transforms=[\n dict(type='Resize', keep_ratio=True),\n dict(type='RandomFlip'),\n dict(\n type='Normalize',\n mean=[123.675, 116.28, 103.53],\n std=[58.395, 57.12, 57.375],\n to_rgb=True),\n dict(\n type='Pad', size_divisor=16, pad_val=0, seg_pad_val=0),\n dict(type='ImageToTensor', keys=['img']),\n dict(type='Collect', keys=['img'])\n ])\n ]),\n test=dict(\n type='ADE20K151Dataset',\n data_root='data/ade/ADEChallengeData2016',\n img_dir='images/validation',\n ann_dir='annotations/validation',\n pipeline=[\n dict(type='LoadImageFromFile'),\n dict(\n type='MultiScaleFlipAug',\n img_scale=(2048, 512),\n flip=False,\n transforms=[\n dict(type='Resize', keep_ratio=True),\n dict(type='RandomFlip'),\n dict(\n type='Normalize',\n mean=[123.675, 116.28, 103.53],\n std=[58.395, 57.12, 57.375],\n to_rgb=True),\n dict(\n type='Pad', size_divisor=16, pad_val=0, seg_pad_val=0),\n dict(type='ImageToTensor', keys=['img']),\n dict(type='Collect', keys=['img'])\n ])\n ]))\nlog_config = dict(\n interval=50, hooks=[dict(type='TextLoggerHook', by_epoch=False)])\ndist_params = dict(backend='nccl')\nlog_level = 'INFO'\nload_from = None\nresume_from = None\nworkflow = [('train', 1)]\ncudnn_benchmark = True\noptimizer = dict(\n type='AdamW', lr=0.00015, betas=[0.9, 0.96], weight_decay=0.045)\noptimizer_config = dict()\nlr_config = dict(\n policy='step',\n warmup='linear',\n warmup_iters=1000,\n warmup_ratio=1e-06,\n step=20000,\n gamma=0.5,\n min_lr=1e-06,\n by_epoch=False)\nrunner = dict(type='IterBasedRunner', max_iters=160000)\ncheckpoint_config = dict(by_epoch=False, interval=16000, max_keep_ckpts=1)\nevaluation = dict(\n interval=16000, metric='mIoU', pre_eval=True, save_best='mIoU')\ncustom_hooks = [\n dict(\n type='ConstantMomentumEMAHook',\n momentum=0.01,\n interval=25,\n eval_interval=16000,\n auto_resume=True,\n priority=49)\n]\nwork_dir = './work_dirs2/ablation_segformer_mit_b2_segformer_head_unet_fc_small_multi_step_ade_pretrained_freeze_embed_160k_ade20k151_finetune_ema_ce'\ngpu_ids = range(0, 8)\nauto_resume = True\ndevice = 'cuda'\nseed = 1580901347\n", "CLASSES": ["background", "wall", "building", "sky", "floor", "tree", "ceiling", "road", "bed ", "windowpane", "grass", "cabinet", "sidewalk", "person", "earth", "door", "table", "mountain", "plant", "curtain", "chair", "car", "water", "painting", "sofa", "shelf", "house", "sea", "mirror", "rug", "field", "armchair", "seat", "fence", "desk", "rock", "wardrobe", "lamp", "bathtub", "railing", "cushion", "base", "box", "column", "signboard", "chest of drawers", "counter", "sand", "sink", "skyscraper", "fireplace", "refrigerator", "grandstand", "path", "stairs", "runway", "case", "pool 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23:12:07,717 - mmseg - INFO - OpenCV num_threads is `128 +2023-03-05 23:12:07,718 - mmseg - INFO - OMP num threads is 1 +2023-03-05 23:12:07,780 - mmseg - INFO - Environment info: +------------------------------------------------------------ +sys.platform: linux +Python: 3.7.16 (default, Jan 17 2023, 22:20:44) [GCC 11.2.0] +CUDA available: True +GPU 0,1,2,3,4,5,6,7: NVIDIA A100-SXM4-80GB +CUDA_HOME: /mnt/petrelfs/laizeqiang/miniconda3/envs/torch +NVCC: Cuda compilation tools, release 11.6, V11.6.124 +GCC: gcc (GCC) 4.8.5 20150623 (Red Hat 4.8.5-44) +PyTorch: 1.13.1 +PyTorch compiling details: PyTorch built with: + - GCC 9.3 + - C++ Version: 201402 + - Intel(R) oneAPI Math Kernel Library Version 2021.4-Product Build 20210904 for Intel(R) 64 architecture applications + - Intel(R) MKL-DNN v2.6.0 (Git Hash 52b5f107dd9cf10910aaa19cb47f3abf9b349815) + - OpenMP 201511 (a.k.a. OpenMP 4.5) + - LAPACK is enabled (usually provided by MKL) + - NNPACK is enabled + - CPU capability usage: AVX2 + - CUDA Runtime 11.6 + - NVCC architecture flags: -gencode;arch=compute_37,code=sm_37;-gencode;arch=compute_50,code=sm_50;-gencode;arch=compute_60,code=sm_60;-gencode;arch=compute_61,code=sm_61;-gencode;arch=compute_70,code=sm_70;-gencode;arch=compute_75,code=sm_75;-gencode;arch=compute_80,code=sm_80;-gencode;arch=compute_86,code=sm_86;-gencode;arch=compute_37,code=compute_37 + - CuDNN 8.3.2 (built against CUDA 11.5) + - Magma 2.6.1 + - Build settings: BLAS_INFO=mkl, BUILD_TYPE=Release, CUDA_VERSION=11.6, CUDNN_VERSION=8.3.2, CXX_COMPILER=/opt/rh/devtoolset-9/root/usr/bin/c++, CXX_FLAGS= -fabi-version=11 -Wno-deprecated -fvisibility-inlines-hidden -DUSE_PTHREADPOOL -fopenmp -DNDEBUG -DUSE_KINETO -DUSE_FBGEMM -DUSE_QNNPACK -DUSE_PYTORCH_QNNPACK -DUSE_XNNPACK -DSYMBOLICATE_MOBILE_DEBUG_HANDLE -DEDGE_PROFILER_USE_KINETO -O2 -fPIC -Wno-narrowing -Wall -Wextra -Werror=return-type -Werror=non-virtual-dtor -Wno-missing-field-initializers -Wno-type-limits -Wno-array-bounds -Wno-unknown-pragmas -Wunused-local-typedefs -Wno-unused-parameter -Wno-unused-function -Wno-unused-result -Wno-strict-overflow -Wno-strict-aliasing -Wno-error=deprecated-declarations -Wno-stringop-overflow -Wno-psabi -Wno-error=pedantic -Wno-error=redundant-decls -Wno-error=old-style-cast -fdiagnostics-color=always -faligned-new -Wno-unused-but-set-variable -Wno-maybe-uninitialized -fno-math-errno -fno-trapping-math -Werror=format -Werror=cast-function-type -Wno-stringop-overflow, LAPACK_INFO=mkl, PERF_WITH_AVX=1, PERF_WITH_AVX2=1, PERF_WITH_AVX512=1, TORCH_VERSION=1.13.1, USE_CUDA=ON, USE_CUDNN=ON, USE_EXCEPTION_PTR=1, USE_GFLAGS=OFF, USE_GLOG=OFF, USE_MKL=ON, USE_MKLDNN=ON, USE_MPI=OFF, USE_NCCL=ON, USE_NNPACK=ON, USE_OPENMP=ON, USE_ROCM=OFF, + +TorchVision: 0.14.1 +OpenCV: 4.7.0 +MMCV: 1.7.1 +MMCV Compiler: GCC 9.3 +MMCV CUDA Compiler: 11.6 +MMSegmentation: 0.30.0+6db5ece +------------------------------------------------------------ + +2023-03-05 23:12:07,780 - mmseg - INFO - Distributed training: True +2023-03-05 23:12:08,486 - mmseg - INFO - Config: +norm_cfg = dict(type='SyncBN', requires_grad=True) +checkpoint = 'work_dirs2/segformer_mit_b2_segformer_head_unet_fc_single_step_ade_pretrained_freeze_embed_80k_ade20k151/best_mIoU_iter_64000.pth' +model = dict( + type='EncoderDecoderDiffusion', + freeze_parameters=['backbone', 'decode_head'], + pretrained= + 'work_dirs2/segformer_mit_b2_segformer_head_unet_fc_single_step_ade_pretrained_freeze_embed_80k_ade20k151/best_mIoU_iter_64000.pth', + backbone=dict( + type='MixVisionTransformerCustomInitWeights', + in_channels=3, + embed_dims=64, + num_stages=4, + num_layers=[3, 4, 6, 3], + num_heads=[1, 2, 5, 8], + patch_sizes=[7, 3, 3, 3], + sr_ratios=[8, 4, 2, 1], + out_indices=(0, 1, 2, 3), + mlp_ratio=4, + qkv_bias=True, + drop_rate=0.0, + attn_drop_rate=0.0, + drop_path_rate=0.1), + decode_head=dict( + type='SegformerHeadUnetFCHeadMultiStepCE', + pretrained= + 'work_dirs2/segformer_mit_b2_segformer_head_unet_fc_single_step_ade_pretrained_freeze_embed_80k_ade20k151/best_mIoU_iter_64000.pth', + dim=128, + out_dim=256, + unet_channels=272, + dim_mults=[1, 1, 1], + cat_embedding_dim=16, + diffusion_timesteps=100, + collect_timesteps=[0, 10, 20, 30, 40, 50, 60, 70, 80, 90, 99], + in_channels=[64, 128, 320, 512], + in_index=[0, 1, 2, 3], + channels=256, + dropout_ratio=0.1, + num_classes=151, + norm_cfg=dict(type='SyncBN', requires_grad=True), + align_corners=False, + ignore_index=0, + loss_decode=dict( + type='CrossEntropyLoss', use_sigmoid=False, loss_weight=0.1)), + train_cfg=dict(), + test_cfg=dict(mode='whole')) +dataset_type = 'ADE20K151Dataset' +data_root = 'data/ade/ADEChallengeData2016' +img_norm_cfg = dict( + mean=[123.675, 116.28, 103.53], std=[58.395, 57.12, 57.375], to_rgb=True) +crop_size = (512, 512) +train_pipeline = [ + dict(type='LoadImageFromFile'), + dict(type='LoadAnnotations', reduce_zero_label=False), + dict(type='Resize', img_scale=(2048, 512), ratio_range=(0.5, 2.0)), + dict(type='RandomCrop', crop_size=(512, 512), cat_max_ratio=0.75), + dict(type='RandomFlip', prob=0.5), + dict(type='PhotoMetricDistortion'), + dict( + type='Normalize', + mean=[123.675, 116.28, 103.53], + std=[58.395, 57.12, 57.375], + to_rgb=True), + dict(type='Pad', size=(512, 512), pad_val=0, seg_pad_val=0), + dict(type='DefaultFormatBundle'), + dict(type='Collect', keys=['img', 'gt_semantic_seg']) +] +test_pipeline = [ + dict(type='LoadImageFromFile'), + dict( + type='MultiScaleFlipAug', + img_scale=(2048, 512), + flip=False, + transforms=[ + dict(type='Resize', keep_ratio=True), + dict(type='RandomFlip'), + dict( + type='Normalize', + mean=[123.675, 116.28, 103.53], + std=[58.395, 57.12, 57.375], + to_rgb=True), + dict(type='Pad', size_divisor=16, pad_val=0, seg_pad_val=0), + dict(type='ImageToTensor', keys=['img']), + dict(type='Collect', keys=['img']) + ]) +] +data = dict( + samples_per_gpu=4, + workers_per_gpu=4, + train=dict( + type='ADE20K151Dataset', + data_root='data/ade/ADEChallengeData2016', + img_dir='images/training', + ann_dir='annotations/training', + pipeline=[ + dict(type='LoadImageFromFile'), + dict(type='LoadAnnotations', reduce_zero_label=False), + dict(type='Resize', img_scale=(2048, 512), ratio_range=(0.5, 2.0)), + dict(type='RandomCrop', crop_size=(512, 512), cat_max_ratio=0.75), + dict(type='RandomFlip', prob=0.5), + dict(type='PhotoMetricDistortion'), + dict( + type='Normalize', + mean=[123.675, 116.28, 103.53], + std=[58.395, 57.12, 57.375], + to_rgb=True), + dict(type='Pad', size=(512, 512), pad_val=0, seg_pad_val=0), + dict(type='DefaultFormatBundle'), + dict(type='Collect', keys=['img', 'gt_semantic_seg']) + ]), + val=dict( + type='ADE20K151Dataset', + data_root='data/ade/ADEChallengeData2016', + img_dir='images/validation', + ann_dir='annotations/validation', + pipeline=[ + dict(type='LoadImageFromFile'), + dict( + type='MultiScaleFlipAug', + img_scale=(2048, 512), + flip=False, + transforms=[ + dict(type='Resize', keep_ratio=True), + dict(type='RandomFlip'), + dict( + type='Normalize', + mean=[123.675, 116.28, 103.53], + std=[58.395, 57.12, 57.375], + to_rgb=True), + dict( + type='Pad', size_divisor=16, pad_val=0, seg_pad_val=0), + dict(type='ImageToTensor', keys=['img']), + dict(type='Collect', keys=['img']) + ]) + ]), + test=dict( + type='ADE20K151Dataset', + data_root='data/ade/ADEChallengeData2016', + img_dir='images/validation', + ann_dir='annotations/validation', + pipeline=[ + dict(type='LoadImageFromFile'), + dict( + type='MultiScaleFlipAug', + img_scale=(2048, 512), + flip=False, + transforms=[ + dict(type='Resize', keep_ratio=True), + dict(type='RandomFlip'), + dict( + type='Normalize', + mean=[123.675, 116.28, 103.53], + std=[58.395, 57.12, 57.375], + to_rgb=True), + dict( + type='Pad', size_divisor=16, pad_val=0, seg_pad_val=0), + dict(type='ImageToTensor', keys=['img']), + dict(type='Collect', keys=['img']) + ]) + ])) +log_config = dict( + interval=50, hooks=[dict(type='TextLoggerHook', by_epoch=False)]) +dist_params = dict(backend='nccl') +log_level = 'INFO' +load_from = None +resume_from = None +workflow = [('train', 1)] +cudnn_benchmark = True +optimizer = dict( + type='AdamW', lr=0.00015, betas=[0.9, 0.96], weight_decay=0.045) +optimizer_config = dict() +lr_config = dict( + policy='step', + warmup='linear', + warmup_iters=1000, + warmup_ratio=1e-06, + step=20000, + gamma=0.5, + min_lr=1e-06, + by_epoch=False) +runner = dict(type='IterBasedRunner', max_iters=160000) +checkpoint_config = dict(by_epoch=False, interval=16000, max_keep_ckpts=1) +evaluation = dict( + interval=16000, metric='mIoU', pre_eval=True, save_best='mIoU') +custom_hooks = [ + dict( + type='ConstantMomentumEMAHook', + momentum=0.01, + interval=25, + eval_interval=16000, + auto_resume=True, + priority=49) +] +work_dir = './work_dirs2/ablation_segformer_mit_b2_segformer_head_unet_fc_small_multi_step_ade_pretrained_freeze_embed_160k_ade20k151_finetune_ema_ce' +gpu_ids = range(0, 8) +auto_resume = True + +2023-03-05 23:12:12,743 - mmseg - INFO - Set random seed to 1736891241, deterministic: False +2023-03-05 23:12:13,007 - mmseg - INFO - Parameters in backbone freezed! +2023-03-05 23:12:13,008 - mmseg - INFO - Trainable parameters in SegformerHeadUnetFCHeadMultiStep: ['unet.init_conv.weight', 'unet.init_conv.bias', 'unet.time_mlp.1.weight', 'unet.time_mlp.1.bias', 'unet.time_mlp.3.weight', 'unet.time_mlp.3.bias', 'unet.downs.0.0.mlp.1.weight', 'unet.downs.0.0.mlp.1.bias', 'unet.downs.0.0.block1.proj.weight', 'unet.downs.0.0.block1.proj.bias', 'unet.downs.0.0.block1.norm.weight', 'unet.downs.0.0.block1.norm.bias', 'unet.downs.0.0.block2.proj.weight', 'unet.downs.0.0.block2.proj.bias', 'unet.downs.0.0.block2.norm.weight', 'unet.downs.0.0.block2.norm.bias', 'unet.downs.0.1.mlp.1.weight', 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'unet.mid_block2.block1.proj.weight', 'unet.mid_block2.block1.proj.bias', 'unet.mid_block2.block1.norm.weight', 'unet.mid_block2.block1.norm.bias', 'unet.mid_block2.block2.proj.weight', 'unet.mid_block2.block2.proj.bias', 'unet.mid_block2.block2.norm.weight', 'unet.mid_block2.block2.norm.bias', 'unet.final_res_block.mlp.1.weight', 'unet.final_res_block.mlp.1.bias', 'unet.final_res_block.block1.proj.weight', 'unet.final_res_block.block1.proj.bias', 'unet.final_res_block.block1.norm.weight', 'unet.final_res_block.block1.norm.bias', 'unet.final_res_block.block2.proj.weight', 'unet.final_res_block.block2.proj.bias', 'unet.final_res_block.block2.norm.weight', 'unet.final_res_block.block2.norm.bias', 'unet.final_res_block.res_conv.weight', 'unet.final_res_block.res_conv.bias', 'unet.final_conv.weight', 'unet.final_conv.bias', 'conv_seg_new.weight', 'conv_seg_new.bias'] +2023-03-05 23:12:13,008 - mmseg - INFO - Parameters in decode_head freezed! +2023-03-05 23:12:13,042 - mmseg - INFO - load checkpoint from local path: work_dirs2/segformer_mit_b2_segformer_head_unet_fc_single_step_ade_pretrained_freeze_embed_80k_ade20k151/best_mIoU_iter_64000.pth +2023-03-05 23:12:13,813 - mmseg - WARNING - The model and loaded state dict do not match exactly + +unexpected key in source state_dict: decode_head.convs.0.conv.weight, decode_head.convs.0.bn.weight, decode_head.convs.0.bn.bias, decode_head.convs.0.bn.running_mean, decode_head.convs.0.bn.running_var, decode_head.convs.0.bn.num_batches_tracked, decode_head.convs.1.conv.weight, decode_head.convs.1.bn.weight, decode_head.convs.1.bn.bias, decode_head.convs.1.bn.running_mean, decode_head.convs.1.bn.running_var, decode_head.convs.1.bn.num_batches_tracked, decode_head.convs.2.conv.weight, decode_head.convs.2.bn.weight, decode_head.convs.2.bn.bias, decode_head.convs.2.bn.running_mean, decode_head.convs.2.bn.running_var, decode_head.convs.2.bn.num_batches_tracked, decode_head.convs.3.conv.weight, decode_head.convs.3.bn.weight, 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decode_head.unet.final_conv.bias, decode_head.conv_seg_new.weight, decode_head.conv_seg_new.bias, decode_head.embed.weight + +2023-03-05 23:12:13,831 - mmseg - INFO - load checkpoint from local path: work_dirs2/segformer_mit_b2_segformer_head_unet_fc_single_step_ade_pretrained_freeze_embed_80k_ade20k151/best_mIoU_iter_64000.pth +2023-03-05 23:12:14,296 - mmseg - WARNING - The model and loaded state dict do not match exactly + +unexpected key in source state_dict: backbone.layers.0.0.projection.weight, backbone.layers.0.0.projection.bias, backbone.layers.0.0.norm.weight, backbone.layers.0.0.norm.bias, backbone.layers.0.1.0.norm1.weight, backbone.layers.0.1.0.norm1.bias, backbone.layers.0.1.0.attn.attn.in_proj_weight, backbone.layers.0.1.0.attn.attn.in_proj_bias, backbone.layers.0.1.0.attn.attn.out_proj.weight, backbone.layers.0.1.0.attn.attn.out_proj.bias, backbone.layers.0.1.0.attn.sr.weight, backbone.layers.0.1.0.attn.sr.bias, backbone.layers.0.1.0.attn.norm.weight, 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elementwise_affine=True) + ) + (norm2): LayerNorm((320,), eps=1e-06, elementwise_affine=True) + (ffn): MixFFN( + (activate): GELU(approximate='none') + (layers): Sequential( + (0): Conv2d(320, 1280, kernel_size=(1, 1), stride=(1, 1)) + (1): Conv2d(1280, 1280, kernel_size=(3, 3), stride=(1, 1), padding=(1, 1), groups=1280) + (2): GELU(approximate='none') + (3): Dropout(p=0.0, inplace=False) + (4): Conv2d(1280, 320, kernel_size=(1, 1), stride=(1, 1)) + (5): Dropout(p=0.0, inplace=False) + ) + (dropout_layer): DropPath() + ) + ) + (2): TransformerEncoderLayer( + (norm1): LayerNorm((320,), eps=1e-06, elementwise_affine=True) + (attn): EfficientMultiheadAttention( + (attn): MultiheadAttention( + (out_proj): NonDynamicallyQuantizableLinear(in_features=320, out_features=320, bias=True) + ) + (proj_drop): Dropout(p=0.0, inplace=False) + (dropout_layer): DropPath() + (sr): Conv2d(320, 320, kernel_size=(2, 2), stride=(2, 2)) + (norm): LayerNorm((320,), eps=1e-06, elementwise_affine=True) + ) + (norm2): LayerNorm((320,), eps=1e-06, elementwise_affine=True) + (ffn): MixFFN( + (activate): GELU(approximate='none') + (layers): Sequential( + (0): Conv2d(320, 1280, kernel_size=(1, 1), stride=(1, 1)) + (1): Conv2d(1280, 1280, kernel_size=(3, 3), stride=(1, 1), padding=(1, 1), groups=1280) + (2): GELU(approximate='none') + (3): Dropout(p=0.0, inplace=False) + (4): Conv2d(1280, 320, kernel_size=(1, 1), stride=(1, 1)) + (5): Dropout(p=0.0, inplace=False) + ) + (dropout_layer): DropPath() + ) + ) + (3): TransformerEncoderLayer( + (norm1): LayerNorm((320,), eps=1e-06, elementwise_affine=True) + (attn): EfficientMultiheadAttention( + (attn): MultiheadAttention( + (out_proj): NonDynamicallyQuantizableLinear(in_features=320, out_features=320, bias=True) + ) + (proj_drop): Dropout(p=0.0, inplace=False) + (dropout_layer): DropPath() + (sr): Conv2d(320, 320, kernel_size=(2, 2), stride=(2, 2)) + (norm): LayerNorm((320,), eps=1e-06, elementwise_affine=True) + ) + (norm2): LayerNorm((320,), eps=1e-06, elementwise_affine=True) + (ffn): MixFFN( + (activate): GELU(approximate='none') + (layers): Sequential( + (0): Conv2d(320, 1280, kernel_size=(1, 1), stride=(1, 1)) + (1): Conv2d(1280, 1280, kernel_size=(3, 3), stride=(1, 1), padding=(1, 1), groups=1280) + (2): GELU(approximate='none') + (3): Dropout(p=0.0, inplace=False) + (4): Conv2d(1280, 320, kernel_size=(1, 1), stride=(1, 1)) + (5): Dropout(p=0.0, inplace=False) + ) + (dropout_layer): DropPath() + ) + ) + (4): TransformerEncoderLayer( + (norm1): LayerNorm((320,), eps=1e-06, elementwise_affine=True) + (attn): EfficientMultiheadAttention( + (attn): MultiheadAttention( + (out_proj): NonDynamicallyQuantizableLinear(in_features=320, out_features=320, bias=True) + ) + (proj_drop): Dropout(p=0.0, inplace=False) + (dropout_layer): DropPath() + (sr): Conv2d(320, 320, kernel_size=(2, 2), stride=(2, 2)) + (norm): LayerNorm((320,), eps=1e-06, elementwise_affine=True) + ) + (norm2): LayerNorm((320,), eps=1e-06, elementwise_affine=True) + (ffn): MixFFN( + (activate): GELU(approximate='none') + (layers): Sequential( + (0): Conv2d(320, 1280, kernel_size=(1, 1), stride=(1, 1)) + (1): Conv2d(1280, 1280, kernel_size=(3, 3), stride=(1, 1), padding=(1, 1), groups=1280) + (2): GELU(approximate='none') + (3): Dropout(p=0.0, inplace=False) + (4): Conv2d(1280, 320, kernel_size=(1, 1), stride=(1, 1)) + (5): Dropout(p=0.0, inplace=False) + ) + (dropout_layer): DropPath() + ) + ) + (5): TransformerEncoderLayer( + (norm1): LayerNorm((320,), eps=1e-06, elementwise_affine=True) + (attn): EfficientMultiheadAttention( + (attn): MultiheadAttention( + (out_proj): NonDynamicallyQuantizableLinear(in_features=320, out_features=320, bias=True) + ) + (proj_drop): Dropout(p=0.0, inplace=False) + (dropout_layer): DropPath() + (sr): Conv2d(320, 320, kernel_size=(2, 2), stride=(2, 2)) + (norm): LayerNorm((320,), eps=1e-06, elementwise_affine=True) + ) + (norm2): LayerNorm((320,), eps=1e-06, elementwise_affine=True) + (ffn): MixFFN( + (activate): GELU(approximate='none') + (layers): Sequential( + (0): Conv2d(320, 1280, kernel_size=(1, 1), stride=(1, 1)) + (1): Conv2d(1280, 1280, kernel_size=(3, 3), stride=(1, 1), padding=(1, 1), groups=1280) + (2): GELU(approximate='none') + (3): Dropout(p=0.0, inplace=False) + (4): Conv2d(1280, 320, kernel_size=(1, 1), stride=(1, 1)) + (5): Dropout(p=0.0, inplace=False) + ) + (dropout_layer): DropPath() + ) + ) + ) + (2): LayerNorm((320,), eps=1e-06, elementwise_affine=True) + ) + (3): ModuleList( + (0): PatchEmbed( + (projection): Conv2d(320, 512, kernel_size=(3, 3), stride=(2, 2), padding=(1, 1)) + (norm): LayerNorm((512,), eps=1e-06, elementwise_affine=True) + ) + (1): ModuleList( + (0): TransformerEncoderLayer( + (norm1): LayerNorm((512,), eps=1e-06, elementwise_affine=True) + (attn): EfficientMultiheadAttention( + (attn): MultiheadAttention( + (out_proj): NonDynamicallyQuantizableLinear(in_features=512, out_features=512, bias=True) + ) + (proj_drop): Dropout(p=0.0, inplace=False) + (dropout_layer): DropPath() + ) + (norm2): LayerNorm((512,), eps=1e-06, elementwise_affine=True) + (ffn): MixFFN( + (activate): GELU(approximate='none') + (layers): Sequential( + (0): Conv2d(512, 2048, kernel_size=(1, 1), stride=(1, 1)) + (1): Conv2d(2048, 2048, kernel_size=(3, 3), stride=(1, 1), padding=(1, 1), groups=2048) + (2): GELU(approximate='none') + (3): Dropout(p=0.0, inplace=False) + (4): Conv2d(2048, 512, kernel_size=(1, 1), stride=(1, 1)) + (5): Dropout(p=0.0, inplace=False) + ) + (dropout_layer): DropPath() + ) + ) + (1): TransformerEncoderLayer( + (norm1): LayerNorm((512,), eps=1e-06, elementwise_affine=True) + (attn): EfficientMultiheadAttention( + (attn): MultiheadAttention( + (out_proj): NonDynamicallyQuantizableLinear(in_features=512, out_features=512, bias=True) + ) + (proj_drop): Dropout(p=0.0, inplace=False) + (dropout_layer): DropPath() + ) + (norm2): LayerNorm((512,), eps=1e-06, elementwise_affine=True) + (ffn): MixFFN( + (activate): GELU(approximate='none') + (layers): Sequential( + (0): Conv2d(512, 2048, kernel_size=(1, 1), stride=(1, 1)) + (1): Conv2d(2048, 2048, kernel_size=(3, 3), stride=(1, 1), padding=(1, 1), groups=2048) + (2): GELU(approximate='none') + (3): Dropout(p=0.0, inplace=False) + (4): Conv2d(2048, 512, kernel_size=(1, 1), stride=(1, 1)) + (5): Dropout(p=0.0, inplace=False) + ) + (dropout_layer): DropPath() + ) + ) + (2): TransformerEncoderLayer( + (norm1): LayerNorm((512,), eps=1e-06, elementwise_affine=True) + (attn): EfficientMultiheadAttention( + (attn): MultiheadAttention( + (out_proj): NonDynamicallyQuantizableLinear(in_features=512, out_features=512, bias=True) + ) + (proj_drop): Dropout(p=0.0, inplace=False) + (dropout_layer): DropPath() + ) + (norm2): LayerNorm((512,), eps=1e-06, elementwise_affine=True) + (ffn): MixFFN( + (activate): GELU(approximate='none') + (layers): Sequential( + (0): Conv2d(512, 2048, kernel_size=(1, 1), stride=(1, 1)) + (1): Conv2d(2048, 2048, kernel_size=(3, 3), stride=(1, 1), padding=(1, 1), groups=2048) + (2): GELU(approximate='none') + (3): Dropout(p=0.0, inplace=False) + (4): Conv2d(2048, 512, kernel_size=(1, 1), stride=(1, 1)) + (5): Dropout(p=0.0, inplace=False) + ) + (dropout_layer): DropPath() + ) + ) + ) + (2): LayerNorm((512,), eps=1e-06, elementwise_affine=True) + ) + ) + ) + init_cfg={'type': 'Pretrained', 'checkpoint': 'work_dirs2/segformer_mit_b2_segformer_head_unet_fc_single_step_ade_pretrained_freeze_embed_80k_ade20k151/best_mIoU_iter_64000.pth'} + (decode_head): SegformerHeadUnetFCHeadMultiStepCE( + input_transform=multiple_select, ignore_index=0, align_corners=False + (loss_decode): CrossEntropyLoss(avg_non_ignore=False) + (conv_seg): None + (dropout): Dropout2d(p=0.1, inplace=False) + (convs): ModuleList( + (0): ConvModule( + (conv): Conv2d(64, 256, kernel_size=(1, 1), stride=(1, 1), bias=False) + (bn): SyncBatchNorm(256, eps=1e-05, momentum=0.1, affine=True, track_running_stats=True) + (activate): ReLU(inplace=True) + ) + (1): ConvModule( + (conv): Conv2d(128, 256, kernel_size=(1, 1), stride=(1, 1), bias=False) + (bn): SyncBatchNorm(256, eps=1e-05, momentum=0.1, affine=True, track_running_stats=True) + (activate): ReLU(inplace=True) + ) + (2): ConvModule( + (conv): Conv2d(320, 256, kernel_size=(1, 1), stride=(1, 1), bias=False) + (bn): SyncBatchNorm(256, eps=1e-05, momentum=0.1, affine=True, track_running_stats=True) + (activate): ReLU(inplace=True) + ) + (3): ConvModule( + (conv): Conv2d(512, 256, kernel_size=(1, 1), stride=(1, 1), bias=False) + (bn): SyncBatchNorm(256, eps=1e-05, momentum=0.1, affine=True, track_running_stats=True) + (activate): ReLU(inplace=True) + ) + ) + (fusion_conv): ConvModule( + (conv): Conv2d(1024, 256, kernel_size=(1, 1), stride=(1, 1), bias=False) + (bn): SyncBatchNorm(256, eps=1e-05, momentum=0.1, affine=True, track_running_stats=True) + (activate): ReLU(inplace=True) + ) + (unet): Unet( + (init_conv): Conv2d(272, 128, kernel_size=(7, 7), stride=(1, 1), padding=(3, 3)) + (time_mlp): Sequential( + (0): SinusoidalPosEmb() + (1): Linear(in_features=128, out_features=512, bias=True) + (2): GELU(approximate='none') + (3): Linear(in_features=512, out_features=512, bias=True) + ) + (downs): ModuleList( + (0): ModuleList( + (0): ResnetBlock( + (mlp): Sequential( + (0): SiLU() + (1): Linear(in_features=512, out_features=256, bias=True) + ) + (block1): Block( + (proj): WeightStandardizedConv2d(128, 128, kernel_size=(3, 3), stride=(1, 1), padding=(1, 1)) + (norm): GroupNorm(8, 128, eps=1e-05, affine=True) + (act): SiLU() + ) + (block2): Block( + (proj): WeightStandardizedConv2d(128, 128, kernel_size=(3, 3), stride=(1, 1), padding=(1, 1)) + (norm): GroupNorm(8, 128, eps=1e-05, affine=True) + (act): SiLU() + ) + (res_conv): Identity() + ) + (1): ResnetBlock( + (mlp): Sequential( + (0): SiLU() + (1): Linear(in_features=512, out_features=256, bias=True) + ) + (block1): Block( + (proj): WeightStandardizedConv2d(128, 128, kernel_size=(3, 3), stride=(1, 1), padding=(1, 1)) + (norm): GroupNorm(8, 128, eps=1e-05, affine=True) + (act): SiLU() + ) + (block2): Block( + (proj): WeightStandardizedConv2d(128, 128, kernel_size=(3, 3), stride=(1, 1), padding=(1, 1)) + (norm): GroupNorm(8, 128, eps=1e-05, affine=True) + (act): SiLU() + ) + (res_conv): Identity() + ) + (2): Residual( + (fn): PreNorm( + (fn): LinearAttention( + (to_qkv): Conv2d(128, 384, kernel_size=(1, 1), stride=(1, 1), bias=False) + (to_out): Sequential( + (0): Conv2d(128, 128, kernel_size=(1, 1), stride=(1, 1)) + (1): LayerNorm() + ) + ) + (norm): LayerNorm() + ) + ) + (3): Conv2d(128, 128, kernel_size=(4, 4), stride=(2, 2), padding=(1, 1)) + ) + (1): ModuleList( + (0): ResnetBlock( + (mlp): Sequential( + (0): SiLU() + (1): Linear(in_features=512, out_features=256, bias=True) + ) + (block1): Block( + (proj): WeightStandardizedConv2d(128, 128, kernel_size=(3, 3), stride=(1, 1), padding=(1, 1)) + (norm): GroupNorm(8, 128, eps=1e-05, affine=True) + (act): SiLU() + ) + (block2): Block( + (proj): WeightStandardizedConv2d(128, 128, kernel_size=(3, 3), stride=(1, 1), padding=(1, 1)) + (norm): GroupNorm(8, 128, eps=1e-05, affine=True) + (act): SiLU() + ) + (res_conv): Identity() + ) + (1): ResnetBlock( + (mlp): Sequential( + (0): SiLU() + (1): Linear(in_features=512, out_features=256, bias=True) + ) + (block1): Block( + (proj): WeightStandardizedConv2d(128, 128, kernel_size=(3, 3), stride=(1, 1), padding=(1, 1)) + (norm): GroupNorm(8, 128, eps=1e-05, affine=True) + (act): SiLU() + ) + (block2): Block( + (proj): WeightStandardizedConv2d(128, 128, kernel_size=(3, 3), stride=(1, 1), padding=(1, 1)) + (norm): GroupNorm(8, 128, eps=1e-05, affine=True) + (act): SiLU() + ) + (res_conv): Identity() + ) + (2): Residual( + (fn): PreNorm( + (fn): LinearAttention( + (to_qkv): Conv2d(128, 384, kernel_size=(1, 1), stride=(1, 1), bias=False) + (to_out): Sequential( + (0): Conv2d(128, 128, kernel_size=(1, 1), stride=(1, 1)) + (1): LayerNorm() + ) + ) + (norm): LayerNorm() + ) + ) + (3): Conv2d(128, 128, kernel_size=(4, 4), stride=(2, 2), padding=(1, 1)) + ) + (2): ModuleList( + (0): ResnetBlock( + (mlp): Sequential( + (0): SiLU() + (1): Linear(in_features=512, out_features=256, bias=True) + ) + (block1): Block( + (proj): WeightStandardizedConv2d(128, 128, kernel_size=(3, 3), stride=(1, 1), padding=(1, 1)) + (norm): GroupNorm(8, 128, eps=1e-05, affine=True) + (act): SiLU() + ) + (block2): Block( + (proj): WeightStandardizedConv2d(128, 128, kernel_size=(3, 3), stride=(1, 1), padding=(1, 1)) + (norm): GroupNorm(8, 128, eps=1e-05, affine=True) + (act): SiLU() + ) + (res_conv): Identity() + ) + (1): ResnetBlock( + (mlp): Sequential( + (0): SiLU() + (1): Linear(in_features=512, out_features=256, bias=True) + ) + (block1): Block( + (proj): WeightStandardizedConv2d(128, 128, kernel_size=(3, 3), stride=(1, 1), padding=(1, 1)) + (norm): GroupNorm(8, 128, eps=1e-05, affine=True) + (act): SiLU() + ) + (block2): Block( + (proj): WeightStandardizedConv2d(128, 128, kernel_size=(3, 3), stride=(1, 1), padding=(1, 1)) + (norm): GroupNorm(8, 128, eps=1e-05, affine=True) + (act): SiLU() + ) + (res_conv): Identity() + ) + (2): Residual( + (fn): PreNorm( + (fn): LinearAttention( + (to_qkv): Conv2d(128, 384, kernel_size=(1, 1), stride=(1, 1), bias=False) + (to_out): Sequential( + (0): Conv2d(128, 128, kernel_size=(1, 1), stride=(1, 1)) + (1): LayerNorm() + ) + ) + (norm): LayerNorm() + ) + ) + (3): Conv2d(128, 128, kernel_size=(3, 3), stride=(1, 1), padding=(1, 1)) + ) + ) + (ups): ModuleList( + (0): ModuleList( + (0): ResnetBlock( + (mlp): Sequential( + (0): SiLU() + (1): Linear(in_features=512, out_features=256, bias=True) + ) + (block1): Block( + (proj): WeightStandardizedConv2d(256, 128, kernel_size=(3, 3), stride=(1, 1), padding=(1, 1)) + (norm): GroupNorm(8, 128, eps=1e-05, affine=True) + (act): SiLU() + ) + (block2): Block( + (proj): WeightStandardizedConv2d(128, 128, kernel_size=(3, 3), stride=(1, 1), padding=(1, 1)) + (norm): GroupNorm(8, 128, eps=1e-05, affine=True) + (act): SiLU() + ) + (res_conv): Conv2d(256, 128, kernel_size=(1, 1), stride=(1, 1)) + ) + (1): ResnetBlock( + (mlp): Sequential( + (0): SiLU() + (1): Linear(in_features=512, out_features=256, bias=True) + ) + (block1): Block( + (proj): WeightStandardizedConv2d(256, 128, kernel_size=(3, 3), stride=(1, 1), padding=(1, 1)) + (norm): GroupNorm(8, 128, eps=1e-05, affine=True) + (act): SiLU() + ) + (block2): Block( + (proj): WeightStandardizedConv2d(128, 128, kernel_size=(3, 3), stride=(1, 1), padding=(1, 1)) + (norm): GroupNorm(8, 128, eps=1e-05, affine=True) + (act): SiLU() + ) + (res_conv): Conv2d(256, 128, kernel_size=(1, 1), stride=(1, 1)) + ) + (2): Residual( + (fn): PreNorm( + (fn): LinearAttention( + (to_qkv): Conv2d(128, 384, kernel_size=(1, 1), stride=(1, 1), bias=False) + (to_out): Sequential( + (0): Conv2d(128, 128, kernel_size=(1, 1), stride=(1, 1)) + (1): LayerNorm() + ) + ) + (norm): LayerNorm() + ) + ) + (3): Sequential( + (0): Upsample(scale_factor=2.0, mode=nearest) + (1): Conv2d(128, 128, kernel_size=(3, 3), stride=(1, 1), padding=(1, 1)) + ) + ) + (1): ModuleList( + (0): ResnetBlock( + (mlp): Sequential( + (0): SiLU() + (1): Linear(in_features=512, out_features=256, bias=True) + ) + (block1): Block( + (proj): WeightStandardizedConv2d(256, 128, kernel_size=(3, 3), stride=(1, 1), padding=(1, 1)) + (norm): GroupNorm(8, 128, eps=1e-05, affine=True) + (act): SiLU() + ) + (block2): Block( + (proj): WeightStandardizedConv2d(128, 128, kernel_size=(3, 3), stride=(1, 1), padding=(1, 1)) + (norm): GroupNorm(8, 128, eps=1e-05, affine=True) + (act): SiLU() + ) + (res_conv): Conv2d(256, 128, kernel_size=(1, 1), stride=(1, 1)) + ) + (1): ResnetBlock( + (mlp): Sequential( + (0): SiLU() + (1): Linear(in_features=512, out_features=256, bias=True) + ) + (block1): Block( + (proj): WeightStandardizedConv2d(256, 128, kernel_size=(3, 3), stride=(1, 1), padding=(1, 1)) + (norm): GroupNorm(8, 128, eps=1e-05, affine=True) + (act): SiLU() + ) + (block2): Block( + (proj): WeightStandardizedConv2d(128, 128, kernel_size=(3, 3), stride=(1, 1), padding=(1, 1)) + (norm): GroupNorm(8, 128, eps=1e-05, affine=True) + (act): SiLU() + ) + (res_conv): Conv2d(256, 128, kernel_size=(1, 1), stride=(1, 1)) + ) + (2): Residual( + (fn): PreNorm( + (fn): LinearAttention( + (to_qkv): Conv2d(128, 384, kernel_size=(1, 1), stride=(1, 1), bias=False) + (to_out): Sequential( + (0): Conv2d(128, 128, kernel_size=(1, 1), stride=(1, 1)) + (1): LayerNorm() + ) + ) + (norm): LayerNorm() + ) + ) + (3): Sequential( + (0): Upsample(scale_factor=2.0, mode=nearest) + (1): Conv2d(128, 128, kernel_size=(3, 3), stride=(1, 1), padding=(1, 1)) + ) + ) + (2): ModuleList( + (0): ResnetBlock( + (mlp): Sequential( + (0): SiLU() + (1): Linear(in_features=512, out_features=256, bias=True) + ) + (block1): Block( + (proj): WeightStandardizedConv2d(256, 128, kernel_size=(3, 3), stride=(1, 1), padding=(1, 1)) + (norm): GroupNorm(8, 128, eps=1e-05, affine=True) + (act): SiLU() + ) + (block2): Block( + (proj): WeightStandardizedConv2d(128, 128, kernel_size=(3, 3), stride=(1, 1), padding=(1, 1)) + (norm): GroupNorm(8, 128, eps=1e-05, affine=True) + (act): SiLU() + ) + (res_conv): Conv2d(256, 128, kernel_size=(1, 1), stride=(1, 1)) + ) + (1): ResnetBlock( + (mlp): Sequential( + (0): SiLU() + (1): Linear(in_features=512, out_features=256, bias=True) + ) + (block1): Block( + (proj): WeightStandardizedConv2d(256, 128, kernel_size=(3, 3), stride=(1, 1), padding=(1, 1)) + (norm): GroupNorm(8, 128, eps=1e-05, affine=True) + (act): SiLU() + ) + (block2): Block( + (proj): WeightStandardizedConv2d(128, 128, kernel_size=(3, 3), stride=(1, 1), padding=(1, 1)) + (norm): GroupNorm(8, 128, eps=1e-05, affine=True) + (act): SiLU() + ) + (res_conv): Conv2d(256, 128, kernel_size=(1, 1), stride=(1, 1)) + ) + (2): Residual( + (fn): PreNorm( + (fn): LinearAttention( + (to_qkv): Conv2d(128, 384, kernel_size=(1, 1), stride=(1, 1), bias=False) + (to_out): Sequential( + (0): Conv2d(128, 128, kernel_size=(1, 1), stride=(1, 1)) + (1): LayerNorm() + ) + ) + (norm): LayerNorm() + ) + ) + (3): Conv2d(128, 128, kernel_size=(3, 3), stride=(1, 1), padding=(1, 1)) + ) + ) + (mid_block1): ResnetBlock( + (mlp): Sequential( + (0): SiLU() + (1): Linear(in_features=512, out_features=256, bias=True) + ) + (block1): Block( + (proj): WeightStandardizedConv2d(128, 128, kernel_size=(3, 3), stride=(1, 1), padding=(1, 1)) + (norm): GroupNorm(8, 128, eps=1e-05, affine=True) + (act): SiLU() + ) + (block2): Block( + (proj): WeightStandardizedConv2d(128, 128, kernel_size=(3, 3), stride=(1, 1), padding=(1, 1)) + (norm): GroupNorm(8, 128, eps=1e-05, affine=True) + (act): SiLU() + ) + (res_conv): Identity() + ) + (mid_attn): Residual( + (fn): PreNorm( + (fn): Attention( + (to_qkv): Conv2d(128, 384, kernel_size=(1, 1), stride=(1, 1), bias=False) + (to_out): Conv2d(128, 128, kernel_size=(1, 1), stride=(1, 1)) + ) + (norm): LayerNorm() + ) + ) + (mid_block2): ResnetBlock( + (mlp): Sequential( + (0): SiLU() + (1): Linear(in_features=512, out_features=256, bias=True) + ) + (block1): Block( + (proj): WeightStandardizedConv2d(128, 128, kernel_size=(3, 3), stride=(1, 1), padding=(1, 1)) + (norm): GroupNorm(8, 128, eps=1e-05, affine=True) + (act): SiLU() + ) + (block2): Block( + (proj): WeightStandardizedConv2d(128, 128, kernel_size=(3, 3), stride=(1, 1), padding=(1, 1)) + (norm): GroupNorm(8, 128, eps=1e-05, affine=True) + (act): SiLU() + ) + (res_conv): Identity() + ) + (final_res_block): ResnetBlock( + (mlp): Sequential( + (0): SiLU() + (1): Linear(in_features=512, out_features=256, bias=True) + ) + (block1): Block( + (proj): WeightStandardizedConv2d(256, 128, kernel_size=(3, 3), stride=(1, 1), padding=(1, 1)) + (norm): GroupNorm(8, 128, eps=1e-05, affine=True) + (act): SiLU() + ) + (block2): Block( + (proj): WeightStandardizedConv2d(128, 128, kernel_size=(3, 3), stride=(1, 1), padding=(1, 1)) + (norm): GroupNorm(8, 128, eps=1e-05, affine=True) + (act): SiLU() + ) + (res_conv): Conv2d(256, 128, kernel_size=(1, 1), stride=(1, 1)) + ) + (final_conv): Conv2d(128, 256, kernel_size=(1, 1), stride=(1, 1)) + ) + (conv_seg_new): Conv2d(256, 151, kernel_size=(1, 1), stride=(1, 1)) + (embed): Embedding(151, 16) + ) + init_cfg={'type': 'Pretrained', 'checkpoint': 'work_dirs2/segformer_mit_b2_segformer_head_unet_fc_single_step_ade_pretrained_freeze_embed_80k_ade20k151/best_mIoU_iter_64000.pth'} +) +2023-03-05 23:12:14,801 - mmseg - INFO - Loaded 20210 images +2023-03-05 23:12:18,581 - mmseg - INFO - Loaded 2000 images +2023-03-05 23:12:18,587 - mmseg - INFO - Start running, host: laizeqiang@SH-IDC1-10-140-37-110, work_dir: /mnt/petrelfs/laizeqiang/mmseg-baseline/work_dirs2/ablation_segformer_mit_b2_segformer_head_unet_fc_small_multi_step_ade_pretrained_freeze_embed_160k_ade20k151_finetune_ema_ce +2023-03-05 23:12:18,587 - mmseg - INFO - Hooks will be executed in the following order: +before_run: +(VERY_HIGH ) StepLrUpdaterHook +(49 ) ConstantMomentumEMAHook +(NORMAL ) CheckpointHook +(LOW ) DistEvalHookMultiSteps +(VERY_LOW ) TextLoggerHook + -------------------- +before_train_epoch: +(VERY_HIGH ) StepLrUpdaterHook +(LOW ) IterTimerHook +(LOW ) DistEvalHookMultiSteps +(VERY_LOW ) TextLoggerHook + -------------------- +before_train_iter: +(VERY_HIGH ) StepLrUpdaterHook +(49 ) ConstantMomentumEMAHook +(LOW ) IterTimerHook +(LOW ) DistEvalHookMultiSteps + -------------------- +after_train_iter: +(ABOVE_NORMAL) OptimizerHook +(49 ) ConstantMomentumEMAHook +(NORMAL ) CheckpointHook +(LOW ) IterTimerHook +(LOW ) DistEvalHookMultiSteps +(VERY_LOW ) TextLoggerHook + -------------------- +after_train_epoch: +(NORMAL ) CheckpointHook +(LOW ) DistEvalHookMultiSteps +(VERY_LOW ) TextLoggerHook + -------------------- +before_val_epoch: +(LOW ) IterTimerHook +(VERY_LOW ) TextLoggerHook + -------------------- +before_val_iter: +(LOW ) IterTimerHook + -------------------- +after_val_iter: +(LOW ) IterTimerHook + -------------------- +after_val_epoch: +(VERY_LOW ) TextLoggerHook + -------------------- +after_run: +(VERY_LOW ) TextLoggerHook + -------------------- +2023-03-05 23:12:18,588 - mmseg - INFO - workflow: [('train', 1)], max: 160000 iters +2023-03-05 23:12:18,651 - mmseg - INFO - Checkpoints will be saved to /mnt/petrelfs/laizeqiang/mmseg-baseline/work_dirs2/ablation_segformer_mit_b2_segformer_head_unet_fc_small_multi_step_ade_pretrained_freeze_embed_160k_ade20k151_finetune_ema_ce by HardDiskBackend. +2023-03-05 23:12:42,841 - mmseg - INFO - Swap parameters (before train) before iter [1] +2023-03-05 23:12:59,646 - mmseg - INFO - Iter [50/160000] lr: 7.350e-06, eta: 15:20:33, time: 0.345, data_time: 0.016, memory: 19921, decode.loss_ce: 0.0196, decode.acc_seg: 91.9722, decode.kl_loss: 0.1533, loss: 0.1729 +2023-03-05 23:13:09,800 - mmseg - INFO - Iter [100/160000] lr: 1.485e-05, eta: 12:10:39, time: 0.203, data_time: 0.006, memory: 19921, decode.loss_ce: 0.0213, decode.acc_seg: 91.3784, decode.kl_loss: 0.1234, loss: 0.1447 +2023-03-05 23:13:19,962 - mmseg - INFO - Iter [150/160000] lr: 2.235e-05, eta: 11:07:12, time: 0.203, data_time: 0.006, memory: 19921, decode.loss_ce: 0.0237, decode.acc_seg: 91.0888, decode.kl_loss: 0.1129, loss: 0.1366 +2023-03-05 23:13:30,089 - mmseg - INFO - Iter [200/160000] lr: 2.985e-05, eta: 10:35:17, time: 0.203, data_time: 0.007, memory: 19921, decode.loss_ce: 0.0258, decode.acc_seg: 90.8855, decode.kl_loss: 0.1016, loss: 0.1274 +2023-03-05 23:13:39,992 - mmseg - INFO - Iter [250/160000] lr: 3.735e-05, eta: 10:13:33, time: 0.198, data_time: 0.007, memory: 19921, decode.loss_ce: 0.0284, decode.acc_seg: 90.5879, decode.kl_loss: 0.0892, loss: 0.1176 +2023-03-05 23:13:49,967 - mmseg - INFO - Iter [300/160000] lr: 4.485e-05, eta: 9:59:38, time: 0.199, data_time: 0.007, memory: 19921, decode.loss_ce: 0.0297, decode.acc_seg: 90.5335, decode.kl_loss: 0.0819, loss: 0.1117 +2023-03-05 23:13:59,807 - mmseg - INFO - Iter [350/160000] lr: 5.235e-05, eta: 9:48:37, time: 0.197, data_time: 0.007, memory: 19921, decode.loss_ce: 0.0321, decode.acc_seg: 90.0979, decode.kl_loss: 0.0802, loss: 0.1123 +2023-03-05 23:14:09,867 - mmseg - INFO - Iter [400/160000] lr: 5.985e-05, eta: 9:41:46, time: 0.201, data_time: 0.007, memory: 19921, decode.loss_ce: 0.0324, decode.acc_seg: 90.1000, decode.kl_loss: 0.0764, loss: 0.1088 +2023-03-05 23:14:19,869 - mmseg - INFO - Iter [450/160000] lr: 6.735e-05, eta: 9:36:04, time: 0.200, data_time: 0.007, memory: 19921, decode.loss_ce: 0.0317, decode.acc_seg: 90.4703, decode.kl_loss: 0.0718, loss: 0.1035 +2023-03-05 23:14:29,891 - mmseg - INFO - Iter [500/160000] lr: 7.485e-05, eta: 9:31:35, time: 0.200, data_time: 0.007, memory: 19921, decode.loss_ce: 0.0327, decode.acc_seg: 90.3277, decode.kl_loss: 0.0685, loss: 0.1012 +2023-03-05 23:14:40,322 - mmseg - INFO - Iter [550/160000] lr: 8.235e-05, eta: 9:29:51, time: 0.209, data_time: 0.007, memory: 19921, decode.loss_ce: 0.0333, decode.acc_seg: 90.0184, decode.kl_loss: 0.0665, loss: 0.0999 +2023-03-05 23:14:50,305 - mmseg - INFO - Iter [600/160000] lr: 8.985e-05, eta: 9:26:24, time: 0.200, data_time: 0.007, memory: 19921, decode.loss_ce: 0.0347, decode.acc_seg: 89.9173, decode.kl_loss: 0.0651, loss: 0.0998 +2023-03-05 23:15:02,804 - mmseg - INFO - Iter [650/160000] lr: 9.735e-05, eta: 9:33:44, time: 0.250, data_time: 0.053, memory: 19921, decode.loss_ce: 0.0358, decode.acc_seg: 89.6065, decode.kl_loss: 0.0661, loss: 0.1019 +2023-03-05 23:15:12,795 - mmseg - INFO - Iter [700/160000] lr: 1.049e-04, eta: 9:30:29, time: 0.200, data_time: 0.007, memory: 19921, decode.loss_ce: 0.0351, decode.acc_seg: 89.9626, decode.kl_loss: 0.0622, loss: 0.0973 +2023-03-05 23:15:22,845 - mmseg - INFO - Iter [750/160000] lr: 1.124e-04, eta: 9:27:51, time: 0.201, data_time: 0.007, memory: 19921, decode.loss_ce: 0.0359, decode.acc_seg: 89.7461, decode.kl_loss: 0.0595, loss: 0.0954 +2023-03-05 23:15:32,974 - mmseg - INFO - Iter [800/160000] lr: 1.199e-04, eta: 9:25:47, time: 0.203, data_time: 0.007, memory: 19921, decode.loss_ce: 0.0350, decode.acc_seg: 90.2299, decode.kl_loss: 0.0583, loss: 0.0933 +2023-03-05 23:15:43,061 - mmseg - INFO - Iter [850/160000] lr: 1.274e-04, eta: 9:23:49, time: 0.202, data_time: 0.007, memory: 19921, decode.loss_ce: 0.0384, decode.acc_seg: 89.3429, decode.kl_loss: 0.0618, loss: 0.1002 +2023-03-05 23:15:53,311 - mmseg - INFO - Iter [900/160000] lr: 1.349e-04, eta: 9:22:31, time: 0.205, data_time: 0.007, memory: 19921, decode.loss_ce: 0.0379, decode.acc_seg: 89.7082, decode.kl_loss: 0.0588, loss: 0.0968 +2023-03-05 23:16:03,257 - mmseg - INFO - Iter [950/160000] lr: 1.424e-04, eta: 9:20:30, time: 0.199, data_time: 0.008, memory: 19921, decode.loss_ce: 0.0379, decode.acc_seg: 89.9869, decode.kl_loss: 0.0555, loss: 0.0934 +2023-03-05 23:16:13,175 - mmseg - INFO - Exp name: ablation_segformer_mit_b2_segformer_head_unet_fc_small_multi_step_ade_pretrained_freeze_embed_160k_ade20k151_finetune_ema_ce.py +2023-03-05 23:16:13,175 - mmseg - INFO - Iter [1000/160000] lr: 1.499e-04, eta: 9:18:35, time: 0.198, data_time: 0.007, memory: 19921, decode.loss_ce: 0.0391, decode.acc_seg: 89.4462, decode.kl_loss: 0.0563, loss: 0.0954 +2023-03-05 23:16:23,013 - mmseg - INFO - Iter [1050/160000] lr: 1.500e-04, eta: 9:16:38, time: 0.197, data_time: 0.007, memory: 19921, decode.loss_ce: 0.0388, decode.acc_seg: 89.8050, decode.kl_loss: 0.0553, loss: 0.0940 +2023-03-05 23:16:33,014 - mmseg - INFO - Iter [1100/160000] lr: 1.500e-04, eta: 9:15:15, time: 0.200, data_time: 0.007, memory: 19921, decode.loss_ce: 0.0401, decode.acc_seg: 89.4453, decode.kl_loss: 0.0580, loss: 0.0981 +2023-03-05 23:16:42,997 - mmseg - INFO - Iter [1150/160000] lr: 1.500e-04, eta: 9:13:53, time: 0.199, data_time: 0.007, memory: 19921, decode.loss_ce: 0.0445, decode.acc_seg: 89.0535, decode.kl_loss: 0.0593, loss: 0.1038 +2023-03-05 23:16:53,101 - mmseg - INFO - Iter [1200/160000] lr: 1.500e-04, eta: 9:12:57, time: 0.202, data_time: 0.008, memory: 19921, decode.loss_ce: 0.0426, decode.acc_seg: 89.2229, decode.kl_loss: 0.0549, loss: 0.0975 +2023-03-05 23:17:03,252 - mmseg - INFO - Iter [1250/160000] lr: 1.500e-04, eta: 9:12:09, time: 0.203, data_time: 0.007, memory: 19921, decode.loss_ce: 0.0396, decode.acc_seg: 89.8922, decode.kl_loss: 0.0511, loss: 0.0908 +2023-03-05 23:17:15,615 - mmseg - INFO - Iter [1300/160000] lr: 1.500e-04, eta: 9:15:54, time: 0.247, data_time: 0.056, memory: 19921, decode.loss_ce: 0.0387, decode.acc_seg: 89.7529, decode.kl_loss: 0.0525, loss: 0.0913 +2023-03-05 23:17:25,532 - mmseg - INFO - Iter [1350/160000] lr: 1.500e-04, eta: 9:14:34, time: 0.198, data_time: 0.007, memory: 19921, decode.loss_ce: 0.0380, decode.acc_seg: 89.8007, decode.kl_loss: 0.0546, loss: 0.0925 +2023-03-05 23:17:35,564 - mmseg - INFO - Iter [1400/160000] lr: 1.500e-04, eta: 9:13:32, time: 0.201, data_time: 0.008, memory: 19921, decode.loss_ce: 0.0400, decode.acc_seg: 89.7444, decode.kl_loss: 0.0511, loss: 0.0911 +2023-03-05 23:17:46,443 - mmseg - INFO - Iter [1450/160000] lr: 1.500e-04, eta: 9:14:06, time: 0.218, data_time: 0.007, memory: 19921, decode.loss_ce: 0.0409, decode.acc_seg: 89.3905, decode.kl_loss: 0.0485, loss: 0.0894 +2023-03-05 23:17:56,513 - mmseg - INFO - Iter [1500/160000] lr: 1.500e-04, eta: 9:13:12, time: 0.201, data_time: 0.007, memory: 19921, decode.loss_ce: 0.0380, decode.acc_seg: 90.1773, decode.kl_loss: 0.0477, loss: 0.0858 +2023-03-05 23:18:06,473 - mmseg - INFO - Iter [1550/160000] lr: 1.500e-04, eta: 9:12:09, time: 0.199, data_time: 0.007, memory: 19921, decode.loss_ce: 0.0412, decode.acc_seg: 89.3575, decode.kl_loss: 0.0522, loss: 0.0935 +2023-03-05 23:18:16,650 - mmseg - INFO - Iter [1600/160000] lr: 1.500e-04, eta: 9:11:31, time: 0.204, data_time: 0.007, memory: 19921, decode.loss_ce: 0.0407, decode.acc_seg: 89.5183, decode.kl_loss: 0.0544, loss: 0.0952 +2023-03-05 23:18:26,569 - mmseg - INFO - Iter [1650/160000] lr: 1.500e-04, eta: 9:10:30, time: 0.198, data_time: 0.007, memory: 19921, decode.loss_ce: 0.0389, decode.acc_seg: 89.7554, decode.kl_loss: 0.0508, loss: 0.0897 +2023-03-05 23:18:36,573 - mmseg - INFO - Iter [1700/160000] lr: 1.500e-04, eta: 9:09:40, time: 0.200, data_time: 0.007, memory: 19921, decode.loss_ce: 0.0424, decode.acc_seg: 89.3083, decode.kl_loss: 0.0546, loss: 0.0969 +2023-03-05 23:18:46,484 - mmseg - INFO - Iter [1750/160000] lr: 1.500e-04, eta: 9:08:44, time: 0.198, data_time: 0.007, memory: 19921, decode.loss_ce: 0.0412, decode.acc_seg: 89.2915, decode.kl_loss: 0.0547, loss: 0.0959 +2023-03-05 23:18:56,858 - mmseg - INFO - Iter [1800/160000] lr: 1.500e-04, eta: 9:08:31, time: 0.207, data_time: 0.008, memory: 19921, decode.loss_ce: 0.0390, decode.acc_seg: 89.6929, decode.kl_loss: 0.0548, loss: 0.0938 +2023-03-05 23:19:06,932 - mmseg - INFO - Iter [1850/160000] lr: 1.500e-04, eta: 9:07:53, time: 0.201, data_time: 0.007, memory: 19921, decode.loss_ce: 0.0393, decode.acc_seg: 89.6351, decode.kl_loss: 0.0517, loss: 0.0911 +2023-03-05 23:19:19,459 - mmseg - INFO - Iter [1900/160000] lr: 1.500e-04, eta: 9:10:40, time: 0.251, data_time: 0.054, memory: 19921, decode.loss_ce: 0.0384, decode.acc_seg: 89.9261, decode.kl_loss: 0.0536, loss: 0.0919 +2023-03-05 23:19:29,715 - mmseg - INFO - Iter [1950/160000] lr: 1.500e-04, eta: 9:10:13, time: 0.205, data_time: 0.007, memory: 19921, decode.loss_ce: 0.0391, decode.acc_seg: 89.7613, decode.kl_loss: 0.0514, loss: 0.0905 +2023-03-05 23:19:39,699 - mmseg - INFO - Exp name: ablation_segformer_mit_b2_segformer_head_unet_fc_small_multi_step_ade_pretrained_freeze_embed_160k_ade20k151_finetune_ema_ce.py +2023-03-05 23:19:39,699 - mmseg - INFO - Iter [2000/160000] lr: 1.500e-04, eta: 9:09:27, time: 0.200, data_time: 0.008, memory: 19921, decode.loss_ce: 0.0399, decode.acc_seg: 89.6692, decode.kl_loss: 0.0529, loss: 0.0928 +2023-03-05 23:19:50,097 - mmseg - INFO - Iter [2050/160000] lr: 1.500e-04, eta: 9:09:14, time: 0.208, data_time: 0.008, memory: 19921, decode.loss_ce: 0.0388, decode.acc_seg: 89.9797, decode.kl_loss: 0.0492, loss: 0.0880 +2023-03-05 23:19:59,958 - mmseg - INFO - Iter [2100/160000] lr: 1.500e-04, eta: 9:08:20, time: 0.197, data_time: 0.007, memory: 19921, decode.loss_ce: 0.0386, decode.acc_seg: 89.8357, decode.kl_loss: 0.0508, loss: 0.0894 +2023-03-05 23:20:09,937 - mmseg - INFO - Iter [2150/160000] lr: 1.500e-04, eta: 9:07:38, time: 0.200, data_time: 0.008, memory: 19921, decode.loss_ce: 0.0378, decode.acc_seg: 90.2148, decode.kl_loss: 0.0494, loss: 0.0872 +2023-03-05 23:20:19,766 - mmseg - INFO - Iter [2200/160000] lr: 1.500e-04, eta: 9:06:46, time: 0.197, data_time: 0.007, memory: 19921, decode.loss_ce: 0.0407, decode.acc_seg: 89.7026, decode.kl_loss: 0.0490, loss: 0.0896 +2023-03-05 23:20:29,701 - mmseg - INFO - Iter [2250/160000] lr: 1.500e-04, eta: 9:06:03, time: 0.199, data_time: 0.008, memory: 19921, decode.loss_ce: 0.0386, decode.acc_seg: 89.8761, decode.kl_loss: 0.0498, loss: 0.0884 +2023-03-05 23:20:39,679 - mmseg - INFO - Iter [2300/160000] lr: 1.500e-04, eta: 9:05:25, time: 0.200, data_time: 0.008, memory: 19921, decode.loss_ce: 0.0402, decode.acc_seg: 89.7789, decode.kl_loss: 0.0465, loss: 0.0866 +2023-03-05 23:20:49,630 - mmseg - INFO - Iter [2350/160000] lr: 1.500e-04, eta: 9:04:46, time: 0.199, data_time: 0.007, memory: 19921, decode.loss_ce: 0.0392, decode.acc_seg: 89.8391, decode.kl_loss: 0.0481, loss: 0.0873 +2023-03-05 23:20:59,684 - mmseg - INFO - Iter [2400/160000] lr: 1.500e-04, eta: 9:04:15, time: 0.201, data_time: 0.007, memory: 19921, decode.loss_ce: 0.0399, decode.acc_seg: 89.6233, decode.kl_loss: 0.0526, loss: 0.0924 +2023-03-05 23:21:09,743 - mmseg - INFO - Iter [2450/160000] lr: 1.500e-04, eta: 9:03:45, time: 0.201, data_time: 0.008, memory: 19921, decode.loss_ce: 0.0410, decode.acc_seg: 89.4765, decode.kl_loss: 0.0480, loss: 0.0891 +2023-03-05 23:21:19,980 - mmseg - INFO - Iter [2500/160000] lr: 1.500e-04, eta: 9:03:27, time: 0.205, data_time: 0.007, memory: 19921, decode.loss_ce: 0.0395, decode.acc_seg: 89.7706, decode.kl_loss: 0.0484, loss: 0.0879 +2023-03-05 23:21:32,590 - mmseg - INFO - Iter [2550/160000] lr: 1.500e-04, eta: 9:05:36, time: 0.252, data_time: 0.058, memory: 19921, decode.loss_ce: 0.0410, decode.acc_seg: 89.2723, decode.kl_loss: 0.0491, loss: 0.0901 +2023-03-05 23:21:42,491 - mmseg - INFO - Iter [2600/160000] lr: 1.500e-04, eta: 9:04:56, time: 0.198, data_time: 0.007, memory: 19921, decode.loss_ce: 0.0398, decode.acc_seg: 89.6632, decode.kl_loss: 0.0489, loss: 0.0887 +2023-03-05 23:21:52,363 - mmseg - INFO - Iter [2650/160000] lr: 1.500e-04, eta: 9:04:15, time: 0.197, data_time: 0.007, memory: 19921, decode.loss_ce: 0.0391, decode.acc_seg: 89.7717, decode.kl_loss: 0.0475, loss: 0.0866 +2023-03-05 23:22:02,436 - mmseg - INFO - Iter [2700/160000] lr: 1.500e-04, eta: 9:03:47, time: 0.201, data_time: 0.007, memory: 19921, decode.loss_ce: 0.0394, decode.acc_seg: 89.8020, decode.kl_loss: 0.0472, loss: 0.0866 +2023-03-05 23:22:12,487 - mmseg - INFO - Iter [2750/160000] lr: 1.500e-04, eta: 9:03:18, time: 0.201, data_time: 0.007, memory: 19921, decode.loss_ce: 0.0408, decode.acc_seg: 89.4498, decode.kl_loss: 0.0492, loss: 0.0899 +2023-03-05 23:22:22,802 - mmseg - INFO - Iter [2800/160000] lr: 1.500e-04, eta: 9:03:05, time: 0.206, data_time: 0.007, memory: 19921, decode.loss_ce: 0.0394, decode.acc_seg: 89.5921, decode.kl_loss: 0.0504, loss: 0.0898 +2023-03-05 23:22:32,891 - mmseg - INFO - Iter [2850/160000] lr: 1.500e-04, eta: 9:02:40, time: 0.202, data_time: 0.007, memory: 19921, decode.loss_ce: 0.0387, decode.acc_seg: 89.8200, decode.kl_loss: 0.0473, loss: 0.0860 +2023-03-05 23:22:42,797 - mmseg - INFO - Iter [2900/160000] lr: 1.500e-04, eta: 9:02:05, time: 0.198, data_time: 0.007, memory: 19921, decode.loss_ce: 0.0375, decode.acc_seg: 90.1581, decode.kl_loss: 0.0442, loss: 0.0817 +2023-03-05 23:22:52,667 - mmseg - INFO - Iter [2950/160000] lr: 1.500e-04, eta: 9:01:29, time: 0.197, data_time: 0.008, memory: 19921, decode.loss_ce: 0.0399, decode.acc_seg: 89.6618, decode.kl_loss: 0.0494, loss: 0.0894 +2023-03-05 23:23:02,800 - mmseg - INFO - Exp name: ablation_segformer_mit_b2_segformer_head_unet_fc_small_multi_step_ade_pretrained_freeze_embed_160k_ade20k151_finetune_ema_ce.py +2023-03-05 23:23:02,800 - mmseg - INFO - Iter [3000/160000] lr: 1.500e-04, eta: 9:01:07, time: 0.203, data_time: 0.008, memory: 19921, decode.loss_ce: 0.0397, decode.acc_seg: 89.8227, decode.kl_loss: 0.0477, loss: 0.0874 +2023-03-05 23:23:12,979 - mmseg - INFO - Iter [3050/160000] lr: 1.500e-04, eta: 9:00:49, time: 0.204, data_time: 0.007, memory: 19921, decode.loss_ce: 0.0399, decode.acc_seg: 89.6247, decode.kl_loss: 0.0492, loss: 0.0891 +2023-03-05 23:23:22,923 - mmseg - INFO - Iter [3100/160000] lr: 1.500e-04, eta: 9:00:18, time: 0.199, data_time: 0.007, memory: 19921, decode.loss_ce: 0.0386, decode.acc_seg: 90.0899, decode.kl_loss: 0.0477, loss: 0.0863 +2023-03-05 23:23:32,748 - mmseg - INFO - Iter [3150/160000] lr: 1.500e-04, eta: 8:59:43, time: 0.197, data_time: 0.007, memory: 19921, decode.loss_ce: 0.0404, decode.acc_seg: 89.3335, decode.kl_loss: 0.0520, loss: 0.0925 +2023-03-05 23:23:45,225 - mmseg - INFO - Iter [3200/160000] lr: 1.500e-04, eta: 9:01:18, time: 0.250, data_time: 0.052, memory: 19921, decode.loss_ce: 0.0403, decode.acc_seg: 89.6948, decode.kl_loss: 0.0460, loss: 0.0863 +2023-03-05 23:23:55,026 - mmseg - INFO - Iter [3250/160000] lr: 1.500e-04, eta: 9:00:41, time: 0.196, data_time: 0.007, memory: 19921, decode.loss_ce: 0.0368, decode.acc_seg: 90.2470, decode.kl_loss: 0.0481, loss: 0.0849 +2023-03-05 23:24:04,942 - mmseg - INFO - Iter [3300/160000] lr: 1.500e-04, eta: 9:00:10, time: 0.198, data_time: 0.007, memory: 19921, decode.loss_ce: 0.0395, decode.acc_seg: 89.6855, decode.kl_loss: 0.0484, loss: 0.0879 +2023-03-05 23:24:14,779 - mmseg - INFO - Iter [3350/160000] lr: 1.500e-04, eta: 8:59:36, time: 0.197, data_time: 0.007, memory: 19921, decode.loss_ce: 0.0393, decode.acc_seg: 89.5548, decode.kl_loss: 0.0485, loss: 0.0878 +2023-03-05 23:24:24,757 - mmseg - INFO - Iter [3400/160000] lr: 1.500e-04, eta: 8:59:09, time: 0.200, data_time: 0.007, memory: 19921, decode.loss_ce: 0.0396, decode.acc_seg: 89.8022, decode.kl_loss: 0.0494, loss: 0.0889 +2023-03-05 23:24:34,566 - mmseg - INFO - Iter [3450/160000] lr: 1.500e-04, eta: 8:58:35, time: 0.196, data_time: 0.007, memory: 19921, decode.loss_ce: 0.0378, decode.acc_seg: 90.0693, decode.kl_loss: 0.0449, loss: 0.0828 +2023-03-05 23:24:44,396 - mmseg - INFO - Iter [3500/160000] lr: 1.500e-04, eta: 8:58:03, time: 0.197, data_time: 0.007, memory: 19921, decode.loss_ce: 0.0406, decode.acc_seg: 89.4346, decode.kl_loss: 0.0484, loss: 0.0890 +2023-03-05 23:24:54,377 - mmseg - INFO - Iter [3550/160000] lr: 1.500e-04, eta: 8:57:38, time: 0.200, data_time: 0.008, memory: 19921, decode.loss_ce: 0.0370, decode.acc_seg: 90.1881, decode.kl_loss: 0.0478, loss: 0.0848 +2023-03-05 23:25:04,539 - mmseg - INFO - Iter [3600/160000] lr: 1.500e-04, eta: 8:57:21, time: 0.203, data_time: 0.008, memory: 19921, decode.loss_ce: 0.0397, decode.acc_seg: 89.6404, decode.kl_loss: 0.0475, loss: 0.0873 +2023-03-05 23:25:14,695 - mmseg - INFO - Iter [3650/160000] lr: 1.500e-04, eta: 8:57:04, time: 0.203, data_time: 0.008, memory: 19921, decode.loss_ce: 0.0382, decode.acc_seg: 89.8534, decode.kl_loss: 0.0477, loss: 0.0858 +2023-03-05 23:25:24,542 - mmseg - INFO - Iter [3700/160000] lr: 1.500e-04, eta: 8:56:35, time: 0.197, data_time: 0.007, memory: 19921, decode.loss_ce: 0.0378, decode.acc_seg: 89.8981, decode.kl_loss: 0.0459, loss: 0.0836 +2023-03-05 23:25:34,453 - mmseg - INFO - Iter [3750/160000] lr: 1.500e-04, eta: 8:56:08, time: 0.198, data_time: 0.007, memory: 19921, decode.loss_ce: 0.0391, decode.acc_seg: 89.7076, decode.kl_loss: 0.0437, loss: 0.0829 +2023-03-05 23:25:46,886 - mmseg - INFO - Iter [3800/160000] lr: 1.500e-04, eta: 8:57:26, time: 0.249, data_time: 0.056, memory: 19921, decode.loss_ce: 0.0409, decode.acc_seg: 89.4808, decode.kl_loss: 0.0515, loss: 0.0924 +2023-03-05 23:25:56,843 - mmseg - INFO - Iter [3850/160000] lr: 1.500e-04, eta: 8:57:01, time: 0.199, data_time: 0.007, memory: 19921, decode.loss_ce: 0.0383, decode.acc_seg: 90.0056, decode.kl_loss: 0.0452, loss: 0.0835 +2023-03-05 23:26:06,676 - mmseg - INFO - Iter [3900/160000] lr: 1.500e-04, eta: 8:56:31, time: 0.197, data_time: 0.007, memory: 19921, decode.loss_ce: 0.0393, decode.acc_seg: 89.6393, decode.kl_loss: 0.0461, loss: 0.0853 +2023-03-05 23:26:16,569 - mmseg - INFO - Iter [3950/160000] lr: 1.500e-04, eta: 8:56:04, time: 0.198, data_time: 0.007, memory: 19921, decode.loss_ce: 0.0403, decode.acc_seg: 89.5162, decode.kl_loss: 0.0480, loss: 0.0884 +2023-03-05 23:26:26,375 - mmseg - INFO - Exp name: ablation_segformer_mit_b2_segformer_head_unet_fc_small_multi_step_ade_pretrained_freeze_embed_160k_ade20k151_finetune_ema_ce.py +2023-03-05 23:26:26,375 - mmseg - INFO - Iter [4000/160000] lr: 1.500e-04, eta: 8:55:34, time: 0.196, data_time: 0.007, memory: 19921, decode.loss_ce: 0.0408, decode.acc_seg: 89.3036, decode.kl_loss: 0.0466, loss: 0.0874 +2023-03-05 23:26:36,434 - mmseg - INFO - Iter [4050/160000] lr: 1.500e-04, eta: 8:55:15, time: 0.201, data_time: 0.008, memory: 19921, decode.loss_ce: 0.0382, decode.acc_seg: 90.1211, decode.kl_loss: 0.0444, loss: 0.0827 +2023-03-05 23:26:46,289 - mmseg - INFO - Iter [4100/160000] lr: 1.500e-04, eta: 8:54:48, time: 0.197, data_time: 0.007, memory: 19921, decode.loss_ce: 0.0376, decode.acc_seg: 90.0873, decode.kl_loss: 0.0468, loss: 0.0844 +2023-03-05 23:26:56,133 - mmseg - INFO - Iter [4150/160000] lr: 1.500e-04, eta: 8:54:21, time: 0.197, data_time: 0.008, memory: 19921, decode.loss_ce: 0.0396, decode.acc_seg: 89.7225, decode.kl_loss: 0.0437, loss: 0.0833 +2023-03-05 23:27:06,020 - mmseg - INFO - Iter [4200/160000] lr: 1.500e-04, eta: 8:53:56, time: 0.198, data_time: 0.007, memory: 19921, decode.loss_ce: 0.0384, decode.acc_seg: 89.8806, decode.kl_loss: 0.0440, loss: 0.0824 +2023-03-05 23:27:15,897 - mmseg - INFO - Iter [4250/160000] lr: 1.500e-04, eta: 8:53:30, time: 0.198, data_time: 0.007, memory: 19921, decode.loss_ce: 0.0392, decode.acc_seg: 89.6794, decode.kl_loss: 0.0458, loss: 0.0850 +2023-03-05 23:27:26,148 - mmseg - INFO - Iter [4300/160000] lr: 1.500e-04, eta: 8:53:19, time: 0.205, data_time: 0.008, memory: 19921, decode.loss_ce: 0.0397, decode.acc_seg: 89.7008, decode.kl_loss: 0.0460, loss: 0.0856 +2023-03-05 23:27:36,032 - mmseg - INFO - Iter [4350/160000] lr: 1.500e-04, eta: 8:52:55, time: 0.198, data_time: 0.008, memory: 19921, decode.loss_ce: 0.0378, decode.acc_seg: 90.1114, decode.kl_loss: 0.0432, loss: 0.0809 +2023-03-05 23:27:46,349 - mmseg - INFO - Iter [4400/160000] lr: 1.500e-04, eta: 8:52:46, time: 0.206, data_time: 0.008, memory: 19921, decode.loss_ce: 0.0400, decode.acc_seg: 89.6393, decode.kl_loss: 0.0449, loss: 0.0849 +2023-03-05 23:27:58,700 - mmseg - INFO - Iter [4450/160000] lr: 1.500e-04, eta: 8:53:49, time: 0.247, data_time: 0.054, memory: 19921, decode.loss_ce: 0.0398, decode.acc_seg: 89.5933, decode.kl_loss: 0.0456, loss: 0.0854 +2023-03-05 23:28:08,606 - mmseg - INFO - Iter [4500/160000] lr: 1.500e-04, eta: 8:53:25, time: 0.198, data_time: 0.007, memory: 19921, decode.loss_ce: 0.0383, decode.acc_seg: 89.9535, decode.kl_loss: 0.0445, loss: 0.0828 +2023-03-05 23:28:18,483 - mmseg - INFO - Iter [4550/160000] lr: 1.500e-04, eta: 8:53:00, time: 0.198, data_time: 0.007, memory: 19921, decode.loss_ce: 0.0397, decode.acc_seg: 89.4564, decode.kl_loss: 0.0460, loss: 0.0858 +2023-03-05 23:28:28,472 - mmseg - INFO - Iter [4600/160000] lr: 1.500e-04, eta: 8:52:40, time: 0.200, data_time: 0.008, memory: 19921, decode.loss_ce: 0.0366, decode.acc_seg: 90.3431, decode.kl_loss: 0.0418, loss: 0.0784 +2023-03-05 23:28:38,606 - mmseg - INFO - Iter [4650/160000] lr: 1.500e-04, eta: 8:52:25, time: 0.203, data_time: 0.007, memory: 19921, decode.loss_ce: 0.0407, decode.acc_seg: 89.4287, decode.kl_loss: 0.0457, loss: 0.0865 +2023-03-05 23:28:48,504 - mmseg - INFO - Iter [4700/160000] lr: 1.500e-04, eta: 8:52:02, time: 0.198, data_time: 0.007, memory: 19921, decode.loss_ce: 0.0381, decode.acc_seg: 89.8701, decode.kl_loss: 0.0446, loss: 0.0827 +2023-03-05 23:28:58,408 - mmseg - INFO - Iter [4750/160000] lr: 1.500e-04, eta: 8:51:39, time: 0.198, data_time: 0.007, memory: 19921, decode.loss_ce: 0.0402, decode.acc_seg: 89.2770, decode.kl_loss: 0.0482, loss: 0.0884 +2023-03-05 23:29:08,504 - mmseg - INFO - Iter [4800/160000] lr: 1.500e-04, eta: 8:51:23, time: 0.202, data_time: 0.007, memory: 19921, decode.loss_ce: 0.0398, decode.acc_seg: 89.4578, decode.kl_loss: 0.0436, loss: 0.0834 +2023-03-05 23:29:18,359 - mmseg - INFO - Iter [4850/160000] lr: 1.500e-04, eta: 8:51:00, time: 0.197, data_time: 0.007, memory: 19921, decode.loss_ce: 0.0376, decode.acc_seg: 89.8075, decode.kl_loss: 0.0498, loss: 0.0874 +2023-03-05 23:29:28,207 - mmseg - INFO - Iter [4900/160000] lr: 1.500e-04, eta: 8:50:36, time: 0.197, data_time: 0.007, memory: 19921, decode.loss_ce: 0.0385, decode.acc_seg: 89.6924, decode.kl_loss: 0.0496, loss: 0.0880 +2023-03-05 23:29:38,167 - mmseg - INFO - Iter [4950/160000] lr: 1.500e-04, eta: 8:50:16, time: 0.199, data_time: 0.007, memory: 19921, decode.loss_ce: 0.0392, decode.acc_seg: 89.7460, decode.kl_loss: 0.0465, loss: 0.0857 +2023-03-05 23:29:47,971 - mmseg - INFO - Exp name: ablation_segformer_mit_b2_segformer_head_unet_fc_small_multi_step_ade_pretrained_freeze_embed_160k_ade20k151_finetune_ema_ce.py +2023-03-05 23:29:47,971 - mmseg - INFO - Iter [5000/160000] lr: 1.500e-04, eta: 8:49:52, time: 0.196, data_time: 0.007, memory: 19921, decode.loss_ce: 0.0372, decode.acc_seg: 89.8983, decode.kl_loss: 0.0515, loss: 0.0887 +2023-03-05 23:30:00,670 - mmseg - INFO - Iter [5050/160000] lr: 1.500e-04, eta: 8:50:56, time: 0.254, data_time: 0.057, memory: 19921, decode.loss_ce: 0.0374, decode.acc_seg: 89.9571, decode.kl_loss: 0.0475, loss: 0.0848 +2023-03-05 23:30:10,527 - mmseg - INFO - Iter [5100/160000] lr: 1.500e-04, eta: 8:50:34, time: 0.197, data_time: 0.008, memory: 19921, decode.loss_ce: 0.0392, decode.acc_seg: 89.8701, decode.kl_loss: 0.0470, loss: 0.0863 +2023-03-05 23:30:20,544 - mmseg - INFO - Iter [5150/160000] lr: 1.500e-04, eta: 8:50:15, time: 0.200, data_time: 0.008, memory: 19921, decode.loss_ce: 0.0397, decode.acc_seg: 89.5597, decode.kl_loss: 0.0482, loss: 0.0878 +2023-03-05 23:30:30,803 - mmseg - INFO - Iter [5200/160000] lr: 1.500e-04, eta: 8:50:05, time: 0.205, data_time: 0.008, memory: 19921, decode.loss_ce: 0.0398, decode.acc_seg: 89.8078, decode.kl_loss: 0.0455, loss: 0.0852 +2023-03-05 23:30:40,833 - mmseg - INFO - Iter [5250/160000] lr: 1.500e-04, eta: 8:49:47, time: 0.200, data_time: 0.007, memory: 19921, decode.loss_ce: 0.0394, decode.acc_seg: 89.7435, decode.kl_loss: 0.0462, loss: 0.0856 +2023-03-05 23:30:50,796 - mmseg - INFO - Iter [5300/160000] lr: 1.500e-04, eta: 8:49:28, time: 0.200, data_time: 0.008, memory: 19921, decode.loss_ce: 0.0374, decode.acc_seg: 89.9200, decode.kl_loss: 0.0455, loss: 0.0829 +2023-03-05 23:31:00,808 - mmseg - INFO - Iter [5350/160000] lr: 1.500e-04, eta: 8:49:10, time: 0.200, data_time: 0.007, memory: 19921, decode.loss_ce: 0.0385, decode.acc_seg: 89.9316, decode.kl_loss: 0.0458, loss: 0.0844 +2023-03-05 23:31:10,710 - mmseg - INFO - Iter [5400/160000] lr: 1.500e-04, eta: 8:48:50, time: 0.198, data_time: 0.007, memory: 19921, decode.loss_ce: 0.0370, decode.acc_seg: 90.3502, decode.kl_loss: 0.0468, loss: 0.0838 +2023-03-05 23:31:20,659 - mmseg - INFO - Iter [5450/160000] lr: 1.500e-04, eta: 8:48:31, time: 0.199, data_time: 0.008, memory: 19921, decode.loss_ce: 0.0397, decode.acc_seg: 89.6437, decode.kl_loss: 0.0496, loss: 0.0893 +2023-03-05 23:31:30,555 - mmseg - INFO - Iter [5500/160000] lr: 1.500e-04, eta: 8:48:10, time: 0.198, data_time: 0.007, memory: 19921, decode.loss_ce: 0.0382, decode.acc_seg: 89.5341, decode.kl_loss: 0.0544, loss: 0.0926 +2023-03-05 23:31:40,581 - mmseg - INFO - Iter [5550/160000] lr: 1.500e-04, eta: 8:47:53, time: 0.201, data_time: 0.007, memory: 19921, decode.loss_ce: 0.0372, decode.acc_seg: 90.0841, decode.kl_loss: 0.0488, loss: 0.0860 +2023-03-05 23:31:50,425 - mmseg - INFO - Iter [5600/160000] lr: 1.500e-04, eta: 8:47:32, time: 0.197, data_time: 0.007, memory: 19921, decode.loss_ce: 0.0394, decode.acc_seg: 89.8470, decode.kl_loss: 0.0489, loss: 0.0882 +2023-03-05 23:32:00,474 - mmseg - INFO - Iter [5650/160000] lr: 1.500e-04, eta: 8:47:16, time: 0.201, data_time: 0.007, memory: 19921, decode.loss_ce: 0.0387, decode.acc_seg: 89.6989, decode.kl_loss: 0.0535, loss: 0.0922 +2023-03-05 23:32:12,899 - mmseg - INFO - Iter [5700/160000] lr: 1.500e-04, eta: 8:48:05, time: 0.248, data_time: 0.055, memory: 19921, decode.loss_ce: 0.0376, decode.acc_seg: 89.8698, decode.kl_loss: 0.0502, loss: 0.0878 +2023-03-05 23:32:23,293 - mmseg - INFO - Iter [5750/160000] lr: 1.500e-04, eta: 8:47:58, time: 0.208, data_time: 0.007, memory: 19921, decode.loss_ce: 0.0384, decode.acc_seg: 90.0584, decode.kl_loss: 0.0458, loss: 0.0842 +2023-03-05 23:32:33,146 - mmseg - INFO - Iter [5800/160000] lr: 1.500e-04, eta: 8:47:37, time: 0.197, data_time: 0.007, memory: 19921, decode.loss_ce: 0.0385, decode.acc_seg: 89.7322, decode.kl_loss: 0.0502, loss: 0.0887 +2023-03-05 23:32:43,255 - mmseg - INFO - Iter [5850/160000] lr: 1.500e-04, eta: 8:47:22, time: 0.202, data_time: 0.008, memory: 19921, decode.loss_ce: 0.0392, decode.acc_seg: 89.7239, decode.kl_loss: 0.0518, loss: 0.0910 +2023-03-05 23:32:53,619 - mmseg - INFO - Iter [5900/160000] lr: 1.500e-04, eta: 8:47:15, time: 0.207, data_time: 0.007, memory: 19921, decode.loss_ce: 0.0399, decode.acc_seg: 89.5502, decode.kl_loss: 0.0483, loss: 0.0883 +2023-03-05 23:33:03,910 - mmseg - INFO - Iter [5950/160000] lr: 1.500e-04, eta: 8:47:05, time: 0.206, data_time: 0.008, memory: 19921, decode.loss_ce: 0.0394, decode.acc_seg: 89.8194, decode.kl_loss: 0.0494, loss: 0.0887 +2023-03-05 23:33:14,158 - mmseg - INFO - Exp name: ablation_segformer_mit_b2_segformer_head_unet_fc_small_multi_step_ade_pretrained_freeze_embed_160k_ade20k151_finetune_ema_ce.py +2023-03-05 23:33:14,158 - mmseg - INFO - Iter [6000/160000] lr: 1.500e-04, eta: 8:46:54, time: 0.205, data_time: 0.008, memory: 19921, decode.loss_ce: 0.0374, decode.acc_seg: 90.2504, decode.kl_loss: 0.0443, loss: 0.0817 +2023-03-05 23:33:24,429 - mmseg - INFO - Iter [6050/160000] lr: 1.500e-04, eta: 8:46:44, time: 0.205, data_time: 0.007, memory: 19921, decode.loss_ce: 0.0372, decode.acc_seg: 90.2500, decode.kl_loss: 0.0438, loss: 0.0811 +2023-03-05 23:33:34,285 - mmseg - INFO - Iter [6100/160000] lr: 1.500e-04, eta: 8:46:24, time: 0.197, data_time: 0.007, memory: 19921, decode.loss_ce: 0.0367, decode.acc_seg: 90.0542, decode.kl_loss: 0.0489, loss: 0.0856 +2023-03-05 23:33:44,543 - mmseg - INFO - Iter [6150/160000] lr: 1.500e-04, eta: 8:46:13, time: 0.205, data_time: 0.007, memory: 19921, decode.loss_ce: 0.0367, decode.acc_seg: 90.4306, decode.kl_loss: 0.0438, loss: 0.0805 +2023-03-05 23:33:54,781 - mmseg - INFO - Iter [6200/160000] lr: 1.500e-04, eta: 8:46:02, time: 0.205, data_time: 0.007, memory: 19921, decode.loss_ce: 0.0388, decode.acc_seg: 89.8761, decode.kl_loss: 0.0443, loss: 0.0830 +2023-03-05 23:34:04,591 - mmseg - INFO - Iter [6250/160000] lr: 1.500e-04, eta: 8:45:41, time: 0.196, data_time: 0.007, memory: 19921, decode.loss_ce: 0.0369, decode.acc_seg: 90.1852, decode.kl_loss: 0.0439, loss: 0.0808 +2023-03-05 23:34:14,497 - mmseg - INFO - Iter [6300/160000] lr: 1.500e-04, eta: 8:45:22, time: 0.198, data_time: 0.007, memory: 19921, decode.loss_ce: 0.0366, decode.acc_seg: 90.3832, decode.kl_loss: 0.0419, loss: 0.0785 +2023-03-05 23:34:26,980 - mmseg - INFO - Iter [6350/160000] lr: 1.500e-04, eta: 8:46:06, time: 0.250, data_time: 0.056, memory: 19921, decode.loss_ce: 0.0375, decode.acc_seg: 90.1214, decode.kl_loss: 0.0477, loss: 0.0852 +2023-03-05 23:34:37,046 - mmseg - INFO - Iter [6400/160000] lr: 1.500e-04, eta: 8:45:51, time: 0.201, data_time: 0.007, memory: 19921, decode.loss_ce: 0.0383, decode.acc_seg: 89.9419, decode.kl_loss: 0.0443, loss: 0.0826 +2023-03-05 23:34:46,936 - mmseg - INFO - Iter [6450/160000] lr: 1.500e-04, eta: 8:45:31, time: 0.198, data_time: 0.007, memory: 19921, decode.loss_ce: 0.0380, decode.acc_seg: 90.0002, decode.kl_loss: 0.0438, loss: 0.0818 +2023-03-05 23:34:56,934 - mmseg - INFO - Iter [6500/160000] lr: 1.500e-04, eta: 8:45:15, time: 0.200, data_time: 0.007, memory: 19921, decode.loss_ce: 0.0376, decode.acc_seg: 90.0809, decode.kl_loss: 0.0454, loss: 0.0829 +2023-03-05 23:35:07,151 - mmseg - INFO - Iter [6550/160000] lr: 1.500e-04, eta: 8:45:03, time: 0.204, data_time: 0.008, memory: 19921, decode.loss_ce: 0.0381, decode.acc_seg: 90.0857, decode.kl_loss: 0.0440, loss: 0.0821 +2023-03-05 23:35:17,201 - mmseg - INFO - Iter [6600/160000] lr: 1.500e-04, eta: 8:44:48, time: 0.201, data_time: 0.007, memory: 19921, decode.loss_ce: 0.0378, decode.acc_seg: 89.8360, decode.kl_loss: 0.0460, loss: 0.0838 +2023-03-05 23:35:27,175 - mmseg - INFO - Iter [6650/160000] lr: 1.500e-04, eta: 8:44:31, time: 0.199, data_time: 0.008, memory: 19921, decode.loss_ce: 0.0381, decode.acc_seg: 90.1288, decode.kl_loss: 0.0480, loss: 0.0862 +2023-03-05 23:35:37,046 - mmseg - INFO - Iter [6700/160000] lr: 1.500e-04, eta: 8:44:12, time: 0.197, data_time: 0.007, memory: 19921, decode.loss_ce: 0.0377, decode.acc_seg: 89.9276, decode.kl_loss: 0.0498, loss: 0.0875 +2023-03-05 23:35:46,864 - mmseg - INFO - Iter [6750/160000] lr: 1.500e-04, eta: 8:43:52, time: 0.196, data_time: 0.007, memory: 19921, decode.loss_ce: 0.0343, decode.acc_seg: 90.8724, decode.kl_loss: 0.0454, loss: 0.0797 +2023-03-05 23:35:56,710 - mmseg - INFO - Iter [6800/160000] lr: 1.500e-04, eta: 8:43:32, time: 0.197, data_time: 0.007, memory: 19921, decode.loss_ce: 0.0401, decode.acc_seg: 89.5438, decode.kl_loss: 0.0472, loss: 0.0873 +2023-03-05 23:36:06,897 - mmseg - INFO - Iter [6850/160000] lr: 1.500e-04, eta: 8:43:20, time: 0.204, data_time: 0.007, memory: 19921, decode.loss_ce: 0.0375, decode.acc_seg: 90.1911, decode.kl_loss: 0.0454, loss: 0.0828 +2023-03-05 23:36:16,858 - mmseg - INFO - Iter [6900/160000] lr: 1.500e-04, eta: 8:43:04, time: 0.199, data_time: 0.008, memory: 19921, decode.loss_ce: 0.0399, decode.acc_seg: 89.5213, decode.kl_loss: 0.0460, loss: 0.0859 +2023-03-05 23:36:29,248 - mmseg - INFO - Iter [6950/160000] lr: 1.500e-04, eta: 8:43:41, time: 0.248, data_time: 0.055, memory: 19921, decode.loss_ce: 0.0377, decode.acc_seg: 90.1023, decode.kl_loss: 0.0423, loss: 0.0800 +2023-03-05 23:36:39,090 - mmseg - INFO - Exp name: ablation_segformer_mit_b2_segformer_head_unet_fc_small_multi_step_ade_pretrained_freeze_embed_160k_ade20k151_finetune_ema_ce.py +2023-03-05 23:36:39,090 - mmseg - INFO - Iter [7000/160000] lr: 1.500e-04, eta: 8:43:21, time: 0.197, data_time: 0.007, memory: 19921, decode.loss_ce: 0.0385, decode.acc_seg: 90.0889, decode.kl_loss: 0.0455, loss: 0.0840 +2023-03-05 23:36:49,010 - mmseg - INFO - Iter [7050/160000] lr: 1.500e-04, eta: 8:43:03, time: 0.198, data_time: 0.007, memory: 19921, decode.loss_ce: 0.0363, decode.acc_seg: 90.3027, decode.kl_loss: 0.0454, loss: 0.0816 +2023-03-05 23:36:59,579 - mmseg - INFO - Iter [7100/160000] lr: 1.500e-04, eta: 8:43:00, time: 0.211, data_time: 0.008, memory: 19921, decode.loss_ce: 0.0393, decode.acc_seg: 89.8082, decode.kl_loss: 0.0415, loss: 0.0808 +2023-03-05 23:37:09,712 - mmseg - INFO - Iter [7150/160000] lr: 1.500e-04, eta: 8:42:47, time: 0.203, data_time: 0.008, memory: 19921, decode.loss_ce: 0.0403, decode.acc_seg: 89.4711, decode.kl_loss: 0.0458, loss: 0.0860 +2023-03-05 23:37:19,688 - mmseg - INFO - Iter [7200/160000] lr: 1.500e-04, eta: 8:42:30, time: 0.200, data_time: 0.008, memory: 19921, decode.loss_ce: 0.0394, decode.acc_seg: 89.5965, decode.kl_loss: 0.0449, loss: 0.0843 +2023-03-05 23:37:29,714 - mmseg - INFO - Iter [7250/160000] lr: 1.500e-04, eta: 8:42:15, time: 0.201, data_time: 0.008, memory: 19921, decode.loss_ce: 0.0379, decode.acc_seg: 89.9162, decode.kl_loss: 0.0460, loss: 0.0839 +2023-03-05 23:37:39,656 - mmseg - INFO - Iter [7300/160000] lr: 1.500e-04, eta: 8:41:58, time: 0.199, data_time: 0.007, memory: 19921, decode.loss_ce: 0.0389, decode.acc_seg: 89.7418, decode.kl_loss: 0.0533, loss: 0.0922 +2023-03-05 23:37:49,717 - mmseg - INFO - Iter [7350/160000] lr: 1.500e-04, eta: 8:41:44, time: 0.201, data_time: 0.008, memory: 19921, decode.loss_ce: 0.0401, decode.acc_seg: 89.5919, decode.kl_loss: 0.0519, loss: 0.0920 +2023-03-05 23:37:59,687 - mmseg - INFO - Iter [7400/160000] lr: 1.500e-04, eta: 8:41:28, time: 0.199, data_time: 0.007, memory: 19921, decode.loss_ce: 0.0383, decode.acc_seg: 90.0230, decode.kl_loss: 0.0464, loss: 0.0847 +2023-03-05 23:38:09,482 - mmseg - INFO - Iter [7450/160000] lr: 1.500e-04, eta: 8:41:08, time: 0.196, data_time: 0.007, memory: 19921, decode.loss_ce: 0.0372, decode.acc_seg: 90.1163, decode.kl_loss: 0.0482, loss: 0.0854 +2023-03-05 23:38:19,346 - mmseg - INFO - Iter [7500/160000] lr: 1.500e-04, eta: 8:40:50, time: 0.197, data_time: 0.007, memory: 19921, decode.loss_ce: 0.0370, decode.acc_seg: 90.0853, decode.kl_loss: 0.0464, loss: 0.0834 +2023-03-05 23:38:29,347 - mmseg - INFO - Iter [7550/160000] lr: 1.500e-04, eta: 8:40:35, time: 0.200, data_time: 0.007, memory: 19921, decode.loss_ce: 0.0370, decode.acc_seg: 90.0984, decode.kl_loss: 0.0495, loss: 0.0866 +2023-03-05 23:38:41,827 - mmseg - INFO - Iter [7600/160000] lr: 1.500e-04, eta: 8:41:10, time: 0.250, data_time: 0.056, memory: 19921, decode.loss_ce: 0.0376, decode.acc_seg: 89.9553, decode.kl_loss: 0.0459, loss: 0.0835 +2023-03-05 23:38:51,860 - mmseg - INFO - Iter [7650/160000] lr: 1.500e-04, eta: 8:40:55, time: 0.201, data_time: 0.007, memory: 19921, decode.loss_ce: 0.0369, decode.acc_seg: 90.1811, decode.kl_loss: 0.0492, loss: 0.0861 +2023-03-05 23:39:01,805 - mmseg - INFO - Iter [7700/160000] lr: 1.500e-04, eta: 8:40:38, time: 0.199, data_time: 0.007, memory: 19921, decode.loss_ce: 0.0391, decode.acc_seg: 89.7397, decode.kl_loss: 0.0513, loss: 0.0905 +2023-03-05 23:39:11,802 - mmseg - INFO - Iter [7750/160000] lr: 1.500e-04, eta: 8:40:23, time: 0.200, data_time: 0.007, memory: 19921, decode.loss_ce: 0.0375, decode.acc_seg: 90.2795, decode.kl_loss: 0.0469, loss: 0.0844 +2023-03-05 23:39:21,778 - mmseg - INFO - Iter [7800/160000] lr: 1.500e-04, eta: 8:40:07, time: 0.200, data_time: 0.008, memory: 19921, decode.loss_ce: 0.0383, decode.acc_seg: 89.9471, decode.kl_loss: 0.0460, loss: 0.0843 +2023-03-05 23:39:31,946 - mmseg - INFO - Iter [7850/160000] lr: 1.500e-04, eta: 8:39:56, time: 0.203, data_time: 0.007, memory: 19921, decode.loss_ce: 0.0367, decode.acc_seg: 90.2608, decode.kl_loss: 0.0495, loss: 0.0861 +2023-03-05 23:39:41,960 - mmseg - INFO - Iter [7900/160000] lr: 1.500e-04, eta: 8:39:41, time: 0.200, data_time: 0.007, memory: 19921, decode.loss_ce: 0.0378, decode.acc_seg: 90.1395, decode.kl_loss: 0.0457, loss: 0.0835 +2023-03-05 23:39:51,816 - mmseg - INFO - Iter [7950/160000] lr: 1.500e-04, eta: 8:39:23, time: 0.197, data_time: 0.007, memory: 19921, decode.loss_ce: 0.0397, decode.acc_seg: 89.7011, decode.kl_loss: 0.0485, loss: 0.0882 +2023-03-05 23:40:01,846 - mmseg - INFO - Exp name: ablation_segformer_mit_b2_segformer_head_unet_fc_small_multi_step_ade_pretrained_freeze_embed_160k_ade20k151_finetune_ema_ce.py +2023-03-05 23:40:01,846 - mmseg - INFO - Iter [8000/160000] lr: 1.500e-04, eta: 8:39:09, time: 0.201, data_time: 0.008, memory: 19921, decode.loss_ce: 0.0399, decode.acc_seg: 89.5610, decode.kl_loss: 0.0501, loss: 0.0900 +2023-03-05 23:40:11,716 - mmseg - INFO - Iter [8050/160000] lr: 1.500e-04, eta: 8:38:51, time: 0.197, data_time: 0.007, memory: 19921, decode.loss_ce: 0.0378, decode.acc_seg: 89.8663, decode.kl_loss: 0.0505, loss: 0.0883 +2023-03-05 23:40:21,803 - mmseg - INFO - Iter [8100/160000] lr: 1.500e-04, eta: 8:38:38, time: 0.202, data_time: 0.007, memory: 19921, decode.loss_ce: 0.0397, decode.acc_seg: 89.4813, decode.kl_loss: 0.0499, loss: 0.0896 +2023-03-05 23:40:31,651 - mmseg - INFO - Iter [8150/160000] lr: 1.500e-04, eta: 8:38:20, time: 0.197, data_time: 0.007, memory: 19921, decode.loss_ce: 0.0371, decode.acc_seg: 90.2656, decode.kl_loss: 0.0452, loss: 0.0823 +2023-03-05 23:40:41,498 - mmseg - INFO - Iter [8200/160000] lr: 1.500e-04, eta: 8:38:03, time: 0.197, data_time: 0.008, memory: 19921, decode.loss_ce: 0.0377, decode.acc_seg: 90.1339, decode.kl_loss: 0.0458, loss: 0.0835 +2023-03-05 23:40:54,061 - mmseg - INFO - Iter [8250/160000] lr: 1.500e-04, eta: 8:38:35, time: 0.251, data_time: 0.054, memory: 19921, decode.loss_ce: 0.0393, decode.acc_seg: 89.8672, decode.kl_loss: 0.0435, loss: 0.0829 +2023-03-05 23:41:03,948 - mmseg - INFO - Iter [8300/160000] lr: 1.500e-04, eta: 8:38:18, time: 0.198, data_time: 0.008, memory: 19921, decode.loss_ce: 0.0374, decode.acc_seg: 90.1306, decode.kl_loss: 0.0490, loss: 0.0865 +2023-03-05 23:41:13,854 - mmseg - INFO - Iter [8350/160000] lr: 1.500e-04, eta: 8:38:02, time: 0.198, data_time: 0.007, memory: 19921, decode.loss_ce: 0.0402, decode.acc_seg: 89.3435, decode.kl_loss: 0.0581, loss: 0.0983 +2023-03-05 23:41:23,827 - mmseg - INFO - Iter [8400/160000] lr: 1.500e-04, eta: 8:37:47, time: 0.199, data_time: 0.008, memory: 19921, decode.loss_ce: 0.0409, decode.acc_seg: 89.3948, decode.kl_loss: 0.0518, loss: 0.0927 +2023-03-05 23:41:34,182 - mmseg - INFO - Iter [8450/160000] lr: 1.500e-04, eta: 8:37:38, time: 0.207, data_time: 0.008, memory: 19921, decode.loss_ce: 0.0380, decode.acc_seg: 89.7772, decode.kl_loss: 0.0498, loss: 0.0879 +2023-03-05 23:41:44,034 - mmseg - INFO - Iter [8500/160000] lr: 1.500e-04, eta: 8:37:21, time: 0.197, data_time: 0.007, memory: 19921, decode.loss_ce: 0.0389, decode.acc_seg: 89.8570, decode.kl_loss: 0.0478, loss: 0.0867 +2023-03-05 23:41:54,093 - mmseg - INFO - Iter [8550/160000] lr: 1.500e-04, eta: 8:37:08, time: 0.201, data_time: 0.008, memory: 19921, decode.loss_ce: 0.0389, decode.acc_seg: 89.8360, decode.kl_loss: 0.0478, loss: 0.0867 +2023-03-05 23:42:04,116 - mmseg - INFO - Iter [8600/160000] lr: 1.500e-04, eta: 8:36:53, time: 0.200, data_time: 0.007, memory: 19921, decode.loss_ce: 0.0385, decode.acc_seg: 89.9478, decode.kl_loss: 0.0428, loss: 0.0813 +2023-03-05 23:42:13,965 - mmseg - INFO - Iter [8650/160000] lr: 1.500e-04, eta: 8:36:36, time: 0.197, data_time: 0.007, memory: 19921, decode.loss_ce: 0.0380, decode.acc_seg: 89.6850, decode.kl_loss: 0.0493, loss: 0.0873 +2023-03-05 23:42:24,107 - mmseg - INFO - Iter [8700/160000] lr: 1.500e-04, eta: 8:36:24, time: 0.203, data_time: 0.007, memory: 19921, decode.loss_ce: 0.0392, decode.acc_seg: 89.6554, decode.kl_loss: 0.0502, loss: 0.0894 +2023-03-05 23:42:34,536 - mmseg - INFO - Iter [8750/160000] lr: 1.500e-04, eta: 8:36:17, time: 0.209, data_time: 0.008, memory: 19921, decode.loss_ce: 0.0394, decode.acc_seg: 89.3929, decode.kl_loss: 0.0541, loss: 0.0934 +2023-03-05 23:42:44,573 - mmseg - INFO - Iter [8800/160000] lr: 1.500e-04, eta: 8:36:04, time: 0.201, data_time: 0.007, memory: 19921, decode.loss_ce: 0.0399, decode.acc_seg: 89.5649, decode.kl_loss: 0.0537, loss: 0.0936 +2023-03-05 23:42:57,171 - mmseg - INFO - Iter [8850/160000] lr: 1.500e-04, eta: 8:36:34, time: 0.252, data_time: 0.054, memory: 19921, decode.loss_ce: 0.0411, decode.acc_seg: 89.3531, decode.kl_loss: 0.0524, loss: 0.0936 +2023-03-05 23:43:07,098 - mmseg - INFO - Iter [8900/160000] lr: 1.500e-04, eta: 8:36:18, time: 0.199, data_time: 0.007, memory: 19921, decode.loss_ce: 0.0389, decode.acc_seg: 89.6537, decode.kl_loss: 0.0516, loss: 0.0905 +2023-03-05 23:43:17,208 - mmseg - INFO - Iter [8950/160000] lr: 1.500e-04, eta: 8:36:05, time: 0.202, data_time: 0.007, memory: 19921, decode.loss_ce: 0.0405, decode.acc_seg: 89.5057, decode.kl_loss: 0.0504, loss: 0.0910 +2023-03-05 23:43:27,537 - mmseg - INFO - Exp name: ablation_segformer_mit_b2_segformer_head_unet_fc_small_multi_step_ade_pretrained_freeze_embed_160k_ade20k151_finetune_ema_ce.py +2023-03-05 23:43:27,537 - mmseg - INFO - Iter [9000/160000] lr: 1.500e-04, eta: 8:35:56, time: 0.207, data_time: 0.007, memory: 19921, decode.loss_ce: 0.0382, decode.acc_seg: 89.9320, decode.kl_loss: 0.0507, loss: 0.0889 +2023-03-05 23:43:37,567 - mmseg - INFO - Iter [9050/160000] lr: 1.500e-04, eta: 8:35:42, time: 0.201, data_time: 0.008, memory: 19921, decode.loss_ce: 0.0389, decode.acc_seg: 89.8513, decode.kl_loss: 0.0521, loss: 0.0910 +2023-03-05 23:43:47,493 - mmseg - INFO - Iter [9100/160000] lr: 1.500e-04, eta: 8:35:27, time: 0.199, data_time: 0.007, memory: 19921, decode.loss_ce: 0.0381, decode.acc_seg: 89.9836, decode.kl_loss: 0.0512, loss: 0.0893 +2023-03-05 23:43:58,257 - mmseg - INFO - Iter [9150/160000] lr: 1.500e-04, eta: 8:35:25, time: 0.215, data_time: 0.007, memory: 19921, decode.loss_ce: 0.0381, decode.acc_seg: 89.8200, decode.kl_loss: 0.0520, loss: 0.0901 +2023-03-05 23:44:08,472 - mmseg - INFO - Iter [9200/160000] lr: 1.500e-04, eta: 8:35:14, time: 0.205, data_time: 0.008, memory: 19921, decode.loss_ce: 0.0387, decode.acc_seg: 89.7489, decode.kl_loss: 0.0513, loss: 0.0900 +2023-03-05 23:44:18,855 - mmseg - INFO - Iter [9250/160000] lr: 1.500e-04, eta: 8:35:06, time: 0.208, data_time: 0.007, memory: 19921, decode.loss_ce: 0.0376, decode.acc_seg: 89.9070, decode.kl_loss: 0.0518, loss: 0.0894 +2023-03-05 23:44:29,018 - mmseg - INFO - Iter [9300/160000] lr: 1.500e-04, eta: 8:34:54, time: 0.203, data_time: 0.007, memory: 19921, decode.loss_ce: 0.0387, decode.acc_seg: 89.8393, decode.kl_loss: 0.0509, loss: 0.0896 +2023-03-05 23:44:38,964 - mmseg - INFO - Iter [9350/160000] lr: 1.500e-04, eta: 8:34:39, time: 0.199, data_time: 0.007, memory: 19921, decode.loss_ce: 0.0378, decode.acc_seg: 90.0466, decode.kl_loss: 0.0513, loss: 0.0890 +2023-03-05 23:44:49,037 - mmseg - INFO - Iter [9400/160000] lr: 1.500e-04, eta: 8:34:26, time: 0.201, data_time: 0.008, memory: 19921, decode.loss_ce: 0.0391, decode.acc_seg: 89.6437, decode.kl_loss: 0.0495, loss: 0.0887 +2023-03-05 23:44:58,986 - mmseg - INFO - Iter [9450/160000] lr: 1.500e-04, eta: 8:34:11, time: 0.199, data_time: 0.008, memory: 19921, decode.loss_ce: 0.0379, decode.acc_seg: 89.8313, decode.kl_loss: 0.0471, loss: 0.0851 +2023-03-05 23:45:11,722 - mmseg - INFO - Iter [9500/160000] lr: 1.500e-04, eta: 8:34:40, time: 0.255, data_time: 0.056, memory: 19921, decode.loss_ce: 0.0379, decode.acc_seg: 89.6358, decode.kl_loss: 0.0527, loss: 0.0906 +2023-03-05 23:45:21,718 - mmseg - INFO - Iter [9550/160000] lr: 1.500e-04, eta: 8:34:26, time: 0.200, data_time: 0.007, memory: 19921, decode.loss_ce: 0.0388, decode.acc_seg: 89.6698, decode.kl_loss: 0.0523, loss: 0.0911 +2023-03-05 23:45:31,794 - mmseg - INFO - Iter [9600/160000] lr: 1.500e-04, eta: 8:34:13, time: 0.202, data_time: 0.007, memory: 19921, decode.loss_ce: 0.0386, decode.acc_seg: 89.8808, decode.kl_loss: 0.0485, loss: 0.0871 +2023-03-05 23:45:41,673 - mmseg - INFO - Iter [9650/160000] lr: 1.500e-04, eta: 8:33:57, time: 0.198, data_time: 0.007, memory: 19921, decode.loss_ce: 0.0370, decode.acc_seg: 90.1014, decode.kl_loss: 0.0470, loss: 0.0839 +2023-03-05 23:45:51,690 - mmseg - INFO - Iter [9700/160000] lr: 1.500e-04, eta: 8:33:43, time: 0.200, data_time: 0.007, memory: 19921, decode.loss_ce: 0.0393, decode.acc_seg: 89.5865, decode.kl_loss: 0.0491, loss: 0.0885 +2023-03-05 23:46:01,567 - mmseg - INFO - Iter [9750/160000] lr: 1.500e-04, eta: 8:33:27, time: 0.198, data_time: 0.007, memory: 19921, decode.loss_ce: 0.0381, decode.acc_seg: 89.8935, decode.kl_loss: 0.0461, loss: 0.0842 +2023-03-05 23:46:11,420 - mmseg - INFO - Iter [9800/160000] lr: 1.500e-04, eta: 8:33:10, time: 0.197, data_time: 0.007, memory: 19921, decode.loss_ce: 0.0403, decode.acc_seg: 89.0597, decode.kl_loss: 0.0516, loss: 0.0919 +2023-03-05 23:46:21,309 - mmseg - INFO - Iter [9850/160000] lr: 1.500e-04, eta: 8:32:55, time: 0.198, data_time: 0.007, memory: 19921, decode.loss_ce: 0.0392, decode.acc_seg: 89.6876, decode.kl_loss: 0.0464, loss: 0.0856 +2023-03-05 23:46:31,244 - mmseg - INFO - Iter [9900/160000] lr: 1.500e-04, eta: 8:32:40, time: 0.199, data_time: 0.007, memory: 19921, decode.loss_ce: 0.0387, decode.acc_seg: 89.6134, decode.kl_loss: 0.0448, loss: 0.0835 +2023-03-05 23:46:41,197 - mmseg - INFO - Iter [9950/160000] lr: 1.500e-04, eta: 8:32:25, time: 0.199, data_time: 0.007, memory: 19921, decode.loss_ce: 0.0390, decode.acc_seg: 89.6856, decode.kl_loss: 0.0465, loss: 0.0855 +2023-03-05 23:46:51,098 - mmseg - INFO - Exp name: ablation_segformer_mit_b2_segformer_head_unet_fc_small_multi_step_ade_pretrained_freeze_embed_160k_ade20k151_finetune_ema_ce.py +2023-03-05 23:46:51,098 - mmseg - INFO - Iter [10000/160000] lr: 1.500e-04, eta: 8:32:09, time: 0.198, data_time: 0.007, memory: 19921, decode.loss_ce: 0.0373, decode.acc_seg: 89.8018, decode.kl_loss: 0.0504, loss: 0.0876 +2023-03-05 23:47:01,090 - mmseg - INFO - Iter [10050/160000] lr: 1.500e-04, eta: 8:31:55, time: 0.200, data_time: 0.007, memory: 19921, decode.loss_ce: 0.0394, decode.acc_seg: 89.4293, decode.kl_loss: 0.0516, loss: 0.0911 +2023-03-05 23:47:13,670 - mmseg - INFO - Iter [10100/160000] lr: 1.500e-04, eta: 8:32:20, time: 0.252, data_time: 0.055, memory: 19921, decode.loss_ce: 0.0394, decode.acc_seg: 89.6561, decode.kl_loss: 0.0458, loss: 0.0852 +2023-03-05 23:47:23,455 - mmseg - INFO - Iter [10150/160000] lr: 1.500e-04, eta: 8:32:03, time: 0.196, data_time: 0.007, memory: 19921, decode.loss_ce: 0.0375, decode.acc_seg: 90.2375, decode.kl_loss: 0.0461, loss: 0.0836 +2023-03-05 23:47:33,379 - mmseg - INFO - Iter [10200/160000] lr: 1.500e-04, eta: 8:31:48, time: 0.198, data_time: 0.008, memory: 19921, decode.loss_ce: 0.0381, decode.acc_seg: 89.6170, decode.kl_loss: 0.0492, loss: 0.0873 +2023-03-05 23:47:43,351 - mmseg - INFO - Iter [10250/160000] lr: 1.500e-04, eta: 8:31:33, time: 0.199, data_time: 0.007, memory: 19921, decode.loss_ce: 0.0380, decode.acc_seg: 89.6747, decode.kl_loss: 0.0502, loss: 0.0883 +2023-03-05 23:47:53,189 - mmseg - INFO - Iter [10300/160000] lr: 1.500e-04, eta: 8:31:17, time: 0.197, data_time: 0.007, memory: 19921, decode.loss_ce: 0.0412, decode.acc_seg: 89.2841, decode.kl_loss: 0.0491, loss: 0.0903 +2023-03-05 23:48:03,174 - mmseg - INFO - Iter [10350/160000] lr: 1.500e-04, eta: 8:31:03, time: 0.200, data_time: 0.007, memory: 19921, decode.loss_ce: 0.0375, decode.acc_seg: 89.7359, decode.kl_loss: 0.0502, loss: 0.0878 +2023-03-05 23:48:12,982 - mmseg - INFO - Iter [10400/160000] lr: 1.500e-04, eta: 8:30:47, time: 0.196, data_time: 0.007, memory: 19921, decode.loss_ce: 0.0403, decode.acc_seg: 89.5313, decode.kl_loss: 0.0470, loss: 0.0873 +2023-03-05 23:48:22,887 - mmseg - INFO - Iter [10450/160000] lr: 1.500e-04, eta: 8:30:31, time: 0.198, data_time: 0.007, memory: 19921, decode.loss_ce: 0.0369, decode.acc_seg: 89.9214, decode.kl_loss: 0.0532, loss: 0.0901 +2023-03-05 23:48:32,961 - mmseg - INFO - Iter [10500/160000] lr: 1.500e-04, eta: 8:30:19, time: 0.201, data_time: 0.008, memory: 19921, decode.loss_ce: 0.0396, decode.acc_seg: 89.5043, decode.kl_loss: 0.0500, loss: 0.0896 +2023-03-05 23:48:42,856 - mmseg - INFO - Iter [10550/160000] lr: 1.500e-04, eta: 8:30:04, time: 0.198, data_time: 0.008, memory: 19921, decode.loss_ce: 0.0390, decode.acc_seg: 89.6047, decode.kl_loss: 0.0521, loss: 0.0911 +2023-03-05 23:48:52,854 - mmseg - INFO - Iter [10600/160000] lr: 1.500e-04, eta: 8:29:50, time: 0.200, data_time: 0.007, memory: 19921, decode.loss_ce: 0.0397, decode.acc_seg: 89.3078, decode.kl_loss: 0.0560, loss: 0.0957 +2023-03-05 23:49:02,933 - mmseg - INFO - Iter [10650/160000] lr: 1.500e-04, eta: 8:29:38, time: 0.202, data_time: 0.008, memory: 19921, decode.loss_ce: 0.0410, decode.acc_seg: 89.1587, decode.kl_loss: 0.0588, loss: 0.0998 +2023-03-05 23:49:13,301 - mmseg - INFO - Iter [10700/160000] lr: 1.500e-04, eta: 8:29:29, time: 0.207, data_time: 0.007, memory: 19921, decode.loss_ce: 0.0399, decode.acc_seg: 89.5918, decode.kl_loss: 0.0509, loss: 0.0908 +2023-03-05 23:49:25,672 - mmseg - INFO - Iter [10750/160000] lr: 1.500e-04, eta: 8:29:49, time: 0.247, data_time: 0.053, memory: 19921, decode.loss_ce: 0.0404, decode.acc_seg: 89.0598, decode.kl_loss: 0.0567, loss: 0.0972 +2023-03-05 23:49:35,865 - mmseg - INFO - Iter [10800/160000] lr: 1.500e-04, eta: 8:29:38, time: 0.204, data_time: 0.007, memory: 19921, decode.loss_ce: 0.0361, decode.acc_seg: 90.1920, decode.kl_loss: 0.0503, loss: 0.0864 +2023-03-05 23:49:45,923 - mmseg - INFO - Iter [10850/160000] lr: 1.500e-04, eta: 8:29:25, time: 0.201, data_time: 0.007, memory: 19921, decode.loss_ce: 0.0390, decode.acc_seg: 89.5339, decode.kl_loss: 0.0553, loss: 0.0943 +2023-03-05 23:49:55,846 - mmseg - INFO - Iter [10900/160000] lr: 1.500e-04, eta: 8:29:10, time: 0.198, data_time: 0.007, memory: 19921, decode.loss_ce: 0.0388, decode.acc_seg: 89.5639, decode.kl_loss: 0.0505, loss: 0.0893 +2023-03-05 23:50:05,861 - mmseg - INFO - Iter [10950/160000] lr: 1.500e-04, eta: 8:28:57, time: 0.200, data_time: 0.007, memory: 19921, decode.loss_ce: 0.0376, decode.acc_seg: 89.8952, decode.kl_loss: 0.0523, loss: 0.0899 +2023-03-05 23:50:15,738 - mmseg - INFO - Exp name: ablation_segformer_mit_b2_segformer_head_unet_fc_small_multi_step_ade_pretrained_freeze_embed_160k_ade20k151_finetune_ema_ce.py +2023-03-05 23:50:15,738 - mmseg - INFO - Iter [11000/160000] lr: 1.500e-04, eta: 8:28:41, time: 0.198, data_time: 0.007, memory: 19921, decode.loss_ce: 0.0384, decode.acc_seg: 89.5830, decode.kl_loss: 0.0545, loss: 0.0929 +2023-03-05 23:50:25,756 - mmseg - INFO - Iter [11050/160000] lr: 1.500e-04, eta: 8:28:28, time: 0.200, data_time: 0.007, memory: 19921, decode.loss_ce: 0.0404, decode.acc_seg: 89.4538, decode.kl_loss: 0.0509, loss: 0.0913 +2023-03-05 23:50:35,845 - mmseg - INFO - Iter [11100/160000] lr: 1.500e-04, eta: 8:28:16, time: 0.202, data_time: 0.008, memory: 19921, decode.loss_ce: 0.0382, decode.acc_seg: 89.8729, decode.kl_loss: 0.0528, loss: 0.0910 +2023-03-05 23:50:45,776 - mmseg - INFO - Iter [11150/160000] lr: 1.500e-04, eta: 8:28:01, time: 0.199, data_time: 0.008, memory: 19921, decode.loss_ce: 0.0390, decode.acc_seg: 89.7289, decode.kl_loss: 0.0552, loss: 0.0942 +2023-03-05 23:50:55,693 - mmseg - INFO - Iter [11200/160000] lr: 1.500e-04, eta: 8:27:47, time: 0.198, data_time: 0.007, memory: 19921, decode.loss_ce: 0.0374, decode.acc_seg: 90.1269, decode.kl_loss: 0.0515, loss: 0.0889 +2023-03-05 23:51:05,981 - mmseg - INFO - Iter [11250/160000] lr: 1.500e-04, eta: 8:27:37, time: 0.206, data_time: 0.008, memory: 19921, decode.loss_ce: 0.0446, decode.acc_seg: 88.6608, decode.kl_loss: 0.0535, loss: 0.0981 +2023-03-05 23:51:15,848 - mmseg - INFO - Iter [11300/160000] lr: 1.500e-04, eta: 8:27:22, time: 0.197, data_time: 0.007, memory: 19921, decode.loss_ce: 0.0390, decode.acc_seg: 89.7893, decode.kl_loss: 0.0492, loss: 0.0882 +2023-03-05 23:51:25,781 - mmseg - INFO - Iter [11350/160000] lr: 1.500e-04, eta: 8:27:08, time: 0.199, data_time: 0.008, memory: 19921, decode.loss_ce: 0.0387, decode.acc_seg: 89.7742, decode.kl_loss: 0.0464, loss: 0.0851 +2023-03-05 23:51:38,399 - mmseg - INFO - Iter [11400/160000] lr: 1.500e-04, eta: 8:27:29, time: 0.252, data_time: 0.056, memory: 19921, decode.loss_ce: 0.0375, decode.acc_seg: 90.3200, decode.kl_loss: 0.0432, loss: 0.0807 +2023-03-05 23:51:48,507 - mmseg - INFO - Iter [11450/160000] lr: 1.500e-04, eta: 8:27:17, time: 0.202, data_time: 0.007, memory: 19921, decode.loss_ce: 0.0399, decode.acc_seg: 89.5883, decode.kl_loss: 0.0487, loss: 0.0885 +2023-03-05 23:51:58,363 - mmseg - INFO - Iter [11500/160000] lr: 1.500e-04, eta: 8:27:02, time: 0.197, data_time: 0.007, memory: 19921, decode.loss_ce: 0.0364, decode.acc_seg: 90.3267, decode.kl_loss: 0.0431, loss: 0.0796 +2023-03-05 23:52:08,254 - mmseg - INFO - Iter [11550/160000] lr: 1.500e-04, eta: 8:26:47, time: 0.198, data_time: 0.007, memory: 19921, decode.loss_ce: 0.0383, decode.acc_seg: 89.8779, decode.kl_loss: 0.0452, loss: 0.0835 +2023-03-05 23:52:18,555 - mmseg - INFO - Iter [11600/160000] lr: 1.500e-04, eta: 8:26:37, time: 0.206, data_time: 0.008, memory: 19921, decode.loss_ce: 0.0360, decode.acc_seg: 90.3609, decode.kl_loss: 0.0465, loss: 0.0825 +2023-03-05 23:52:28,483 - mmseg - INFO - Iter [11650/160000] lr: 1.500e-04, eta: 8:26:23, time: 0.199, data_time: 0.007, memory: 19921, decode.loss_ce: 0.0377, decode.acc_seg: 90.0413, decode.kl_loss: 0.0492, loss: 0.0869 +2023-03-05 23:52:38,366 - mmseg - INFO - Iter [11700/160000] lr: 1.500e-04, eta: 8:26:08, time: 0.198, data_time: 0.007, memory: 19921, decode.loss_ce: 0.0377, decode.acc_seg: 90.2768, decode.kl_loss: 0.0429, loss: 0.0806 +2023-03-05 23:52:48,331 - mmseg - INFO - Iter [11750/160000] lr: 1.500e-04, eta: 8:25:55, time: 0.199, data_time: 0.007, memory: 19921, decode.loss_ce: 0.0393, decode.acc_seg: 89.7064, decode.kl_loss: 0.0441, loss: 0.0834 +2023-03-05 23:52:58,377 - mmseg - INFO - Iter [11800/160000] lr: 1.500e-04, eta: 8:25:42, time: 0.201, data_time: 0.007, memory: 19921, decode.loss_ce: 0.0384, decode.acc_seg: 89.8122, decode.kl_loss: 0.0471, loss: 0.0855 +2023-03-05 23:53:08,411 - mmseg - INFO - Iter [11850/160000] lr: 1.500e-04, eta: 8:25:29, time: 0.201, data_time: 0.008, memory: 19921, decode.loss_ce: 0.0380, decode.acc_seg: 89.5628, decode.kl_loss: 0.0541, loss: 0.0921 +2023-03-05 23:53:18,600 - mmseg - INFO - Iter [11900/160000] lr: 1.500e-04, eta: 8:25:18, time: 0.204, data_time: 0.008, memory: 19921, decode.loss_ce: 0.0376, decode.acc_seg: 90.0514, decode.kl_loss: 0.0480, loss: 0.0856 +2023-03-05 23:53:28,573 - mmseg - INFO - Iter [11950/160000] lr: 1.500e-04, eta: 8:25:05, time: 0.199, data_time: 0.007, memory: 19921, decode.loss_ce: 0.0372, decode.acc_seg: 90.1493, decode.kl_loss: 0.0459, loss: 0.0830 +2023-03-05 23:53:41,135 - mmseg - INFO - Exp name: ablation_segformer_mit_b2_segformer_head_unet_fc_small_multi_step_ade_pretrained_freeze_embed_160k_ade20k151_finetune_ema_ce.py +2023-03-05 23:53:41,135 - mmseg - INFO - Iter [12000/160000] lr: 1.500e-04, eta: 8:25:23, time: 0.251, data_time: 0.055, memory: 19921, decode.loss_ce: 0.0368, decode.acc_seg: 90.1397, decode.kl_loss: 0.0468, loss: 0.0836 +2023-03-05 23:53:51,155 - mmseg - INFO - Iter [12050/160000] lr: 1.500e-04, eta: 8:25:10, time: 0.200, data_time: 0.008, memory: 19921, decode.loss_ce: 0.0371, decode.acc_seg: 90.1000, decode.kl_loss: 0.0445, loss: 0.0816 +2023-03-05 23:54:01,244 - mmseg - INFO - Iter [12100/160000] lr: 1.500e-04, eta: 8:24:58, time: 0.202, data_time: 0.007, memory: 19921, decode.loss_ce: 0.0374, decode.acc_seg: 89.8859, decode.kl_loss: 0.0512, loss: 0.0886 +2023-03-05 23:54:11,448 - mmseg - INFO - Iter [12150/160000] lr: 1.500e-04, eta: 8:24:47, time: 0.204, data_time: 0.008, memory: 19921, decode.loss_ce: 0.0397, decode.acc_seg: 89.4580, decode.kl_loss: 0.0555, loss: 0.0952 +2023-03-05 23:54:21,570 - mmseg - INFO - Iter [12200/160000] lr: 1.500e-04, eta: 8:24:36, time: 0.202, data_time: 0.008, memory: 19921, decode.loss_ce: 0.0373, decode.acc_seg: 90.0867, decode.kl_loss: 0.0496, loss: 0.0868 +2023-03-05 23:54:31,627 - mmseg - INFO - Iter [12250/160000] lr: 1.500e-04, eta: 8:24:23, time: 0.201, data_time: 0.007, memory: 19921, decode.loss_ce: 0.0380, decode.acc_seg: 89.7952, decode.kl_loss: 0.0489, loss: 0.0868 +2023-03-05 23:54:41,570 - mmseg - INFO - Iter [12300/160000] lr: 1.500e-04, eta: 8:24:09, time: 0.199, data_time: 0.008, memory: 19921, decode.loss_ce: 0.0379, decode.acc_seg: 89.7959, decode.kl_loss: 0.0528, loss: 0.0908 +2023-03-05 23:54:51,426 - mmseg - INFO - Iter [12350/160000] lr: 1.500e-04, eta: 8:23:55, time: 0.197, data_time: 0.008, memory: 19921, decode.loss_ce: 0.0373, decode.acc_seg: 89.9228, decode.kl_loss: 0.0521, loss: 0.0894 +2023-03-05 23:55:01,419 - mmseg - INFO - Iter [12400/160000] lr: 1.500e-04, eta: 8:23:41, time: 0.199, data_time: 0.007, memory: 19921, decode.loss_ce: 0.0401, decode.acc_seg: 89.3510, decode.kl_loss: 0.0587, loss: 0.0988 +2023-03-05 23:55:11,421 - mmseg - INFO - Iter [12450/160000] lr: 1.500e-04, eta: 8:23:28, time: 0.200, data_time: 0.008, memory: 19921, decode.loss_ce: 0.0379, decode.acc_seg: 90.1852, decode.kl_loss: 0.0482, loss: 0.0861 +2023-03-05 23:55:21,369 - mmseg - INFO - Iter [12500/160000] lr: 1.500e-04, eta: 8:23:15, time: 0.199, data_time: 0.008, memory: 19921, decode.loss_ce: 0.0410, decode.acc_seg: 89.2682, decode.kl_loss: 0.0528, loss: 0.0938 +2023-03-05 23:55:31,411 - mmseg - INFO - Iter [12550/160000] lr: 1.500e-04, eta: 8:23:02, time: 0.201, data_time: 0.008, memory: 19921, decode.loss_ce: 0.0415, decode.acc_seg: 89.2061, decode.kl_loss: 0.0541, loss: 0.0956 +2023-03-05 23:55:41,955 - mmseg - INFO - Iter [12600/160000] lr: 1.500e-04, eta: 8:22:56, time: 0.211, data_time: 0.008, memory: 19921, decode.loss_ce: 0.0386, decode.acc_seg: 89.5139, decode.kl_loss: 0.0570, loss: 0.0956 +2023-03-05 23:55:54,505 - mmseg - INFO - Iter [12650/160000] lr: 1.500e-04, eta: 8:23:12, time: 0.251, data_time: 0.056, memory: 19921, decode.loss_ce: 0.0392, decode.acc_seg: 89.5163, decode.kl_loss: 0.0520, loss: 0.0911 +2023-03-05 23:56:04,600 - mmseg - INFO - Iter [12700/160000] lr: 1.500e-04, eta: 8:23:00, time: 0.202, data_time: 0.007, memory: 19921, decode.loss_ce: 0.0377, decode.acc_seg: 90.0274, decode.kl_loss: 0.0500, loss: 0.0876 +2023-03-05 23:56:14,457 - mmseg - INFO - Iter [12750/160000] lr: 1.500e-04, eta: 8:22:46, time: 0.197, data_time: 0.007, memory: 19921, decode.loss_ce: 0.0382, decode.acc_seg: 89.9193, decode.kl_loss: 0.0473, loss: 0.0855 +2023-03-05 23:56:24,572 - mmseg - INFO - Iter [12800/160000] lr: 1.500e-04, eta: 8:22:34, time: 0.202, data_time: 0.007, memory: 19921, decode.loss_ce: 0.0389, decode.acc_seg: 89.7535, decode.kl_loss: 0.0503, loss: 0.0892 +2023-03-05 23:56:34,652 - mmseg - INFO - Iter [12850/160000] lr: 1.500e-04, eta: 8:22:22, time: 0.202, data_time: 0.007, memory: 19921, decode.loss_ce: 0.0392, decode.acc_seg: 89.4958, decode.kl_loss: 0.0504, loss: 0.0896 +2023-03-05 23:56:44,944 - mmseg - INFO - Iter [12900/160000] lr: 1.500e-04, eta: 8:22:12, time: 0.206, data_time: 0.008, memory: 19921, decode.loss_ce: 0.0393, decode.acc_seg: 89.7463, decode.kl_loss: 0.0498, loss: 0.0891 +2023-03-05 23:56:54,964 - mmseg - INFO - Iter [12950/160000] lr: 1.500e-04, eta: 8:21:59, time: 0.200, data_time: 0.008, memory: 19921, decode.loss_ce: 0.0373, decode.acc_seg: 89.9690, decode.kl_loss: 0.0486, loss: 0.0859 +2023-03-05 23:57:04,995 - mmseg - INFO - Exp name: ablation_segformer_mit_b2_segformer_head_unet_fc_small_multi_step_ade_pretrained_freeze_embed_160k_ade20k151_finetune_ema_ce.py +2023-03-05 23:57:04,995 - mmseg - INFO - Iter [13000/160000] lr: 1.500e-04, eta: 8:21:47, time: 0.201, data_time: 0.008, memory: 19921, decode.loss_ce: 0.0392, decode.acc_seg: 89.5841, decode.kl_loss: 0.0509, loss: 0.0901 +2023-03-05 23:57:15,114 - mmseg - INFO - Iter [13050/160000] lr: 1.500e-04, eta: 8:21:35, time: 0.202, data_time: 0.007, memory: 19921, decode.loss_ce: 0.0367, decode.acc_seg: 89.9798, decode.kl_loss: 0.0487, loss: 0.0854 +2023-03-05 23:57:25,123 - mmseg - INFO - Iter [13100/160000] lr: 1.500e-04, eta: 8:21:22, time: 0.200, data_time: 0.007, memory: 19921, decode.loss_ce: 0.0391, decode.acc_seg: 89.8527, decode.kl_loss: 0.0476, loss: 0.0868 +2023-03-05 23:57:35,055 - mmseg - INFO - Iter [13150/160000] lr: 1.500e-04, eta: 8:21:09, time: 0.199, data_time: 0.007, memory: 19921, decode.loss_ce: 0.0400, decode.acc_seg: 89.3591, decode.kl_loss: 0.0532, loss: 0.0932 +2023-03-05 23:57:44,888 - mmseg - INFO - Iter [13200/160000] lr: 1.500e-04, eta: 8:20:54, time: 0.197, data_time: 0.008, memory: 19921, decode.loss_ce: 0.0389, decode.acc_seg: 89.6692, decode.kl_loss: 0.0495, loss: 0.0884 +2023-03-05 23:57:55,060 - mmseg - INFO - Iter [13250/160000] lr: 1.500e-04, eta: 8:20:43, time: 0.203, data_time: 0.008, memory: 19921, decode.loss_ce: 0.0383, decode.acc_seg: 89.9145, decode.kl_loss: 0.0520, loss: 0.0903 +2023-03-05 23:58:07,702 - mmseg - INFO - Iter [13300/160000] lr: 1.500e-04, eta: 8:20:59, time: 0.253, data_time: 0.055, memory: 19921, decode.loss_ce: 0.0379, decode.acc_seg: 89.9039, decode.kl_loss: 0.0544, loss: 0.0923 +2023-03-05 23:58:17,726 - mmseg - INFO - Iter [13350/160000] lr: 1.500e-04, eta: 8:20:47, time: 0.201, data_time: 0.008, memory: 19921, decode.loss_ce: 0.0381, decode.acc_seg: 89.7998, decode.kl_loss: 0.0508, loss: 0.0889 +2023-03-05 23:58:27,699 - mmseg - INFO - Iter [13400/160000] lr: 1.500e-04, eta: 8:20:33, time: 0.199, data_time: 0.007, memory: 19921, decode.loss_ce: 0.0374, decode.acc_seg: 90.0151, decode.kl_loss: 0.0463, loss: 0.0837 +2023-03-05 23:58:37,773 - mmseg - INFO - Iter [13450/160000] lr: 1.500e-04, eta: 8:20:21, time: 0.201, data_time: 0.007, memory: 19921, decode.loss_ce: 0.0389, decode.acc_seg: 89.6383, decode.kl_loss: 0.0506, loss: 0.0895 +2023-03-05 23:58:47,639 - mmseg - INFO - Iter [13500/160000] lr: 1.500e-04, eta: 8:20:07, time: 0.197, data_time: 0.007, memory: 19921, decode.loss_ce: 0.0395, decode.acc_seg: 89.5941, decode.kl_loss: 0.0506, loss: 0.0901 +2023-03-05 23:58:57,712 - mmseg - INFO - Iter [13550/160000] lr: 1.500e-04, eta: 8:19:55, time: 0.201, data_time: 0.008, memory: 19921, decode.loss_ce: 0.0388, decode.acc_seg: 89.8488, decode.kl_loss: 0.0509, loss: 0.0897 +2023-03-05 23:59:08,049 - mmseg - INFO - Iter [13600/160000] lr: 1.500e-04, eta: 8:19:46, time: 0.207, data_time: 0.007, memory: 19921, decode.loss_ce: 0.0382, decode.acc_seg: 89.7963, decode.kl_loss: 0.0503, loss: 0.0885 +2023-03-05 23:59:17,900 - mmseg - INFO - Iter [13650/160000] lr: 1.500e-04, eta: 8:19:31, time: 0.197, data_time: 0.008, memory: 19921, decode.loss_ce: 0.0389, decode.acc_seg: 89.7146, decode.kl_loss: 0.0493, loss: 0.0882 +2023-03-05 23:59:27,845 - mmseg - INFO - Iter [13700/160000] lr: 1.500e-04, eta: 8:19:18, time: 0.199, data_time: 0.007, memory: 19921, decode.loss_ce: 0.0364, decode.acc_seg: 90.1905, decode.kl_loss: 0.0503, loss: 0.0867 +2023-03-05 23:59:37,922 - mmseg - INFO - Iter [13750/160000] lr: 1.500e-04, eta: 8:19:06, time: 0.202, data_time: 0.007, memory: 19921, decode.loss_ce: 0.0378, decode.acc_seg: 89.8926, decode.kl_loss: 0.0536, loss: 0.0914 +2023-03-05 23:59:47,858 - mmseg - INFO - Iter [13800/160000] lr: 1.500e-04, eta: 8:18:52, time: 0.199, data_time: 0.007, memory: 19921, decode.loss_ce: 0.0378, decode.acc_seg: 90.0597, decode.kl_loss: 0.0490, loss: 0.0868 +2023-03-05 23:59:57,727 - mmseg - INFO - Iter [13850/160000] lr: 1.500e-04, eta: 8:18:38, time: 0.197, data_time: 0.008, memory: 19921, decode.loss_ce: 0.0396, decode.acc_seg: 89.5587, decode.kl_loss: 0.0515, loss: 0.0911 +2023-03-06 00:00:10,682 - mmseg - INFO - Iter [13900/160000] lr: 1.500e-04, eta: 8:18:56, time: 0.259, data_time: 0.054, memory: 19921, decode.loss_ce: 0.0375, decode.acc_seg: 89.9893, decode.kl_loss: 0.0505, loss: 0.0880 +2023-03-06 00:00:20,577 - mmseg - INFO - Iter [13950/160000] lr: 1.500e-04, eta: 8:18:43, time: 0.198, data_time: 0.008, memory: 19921, decode.loss_ce: 0.0377, decode.acc_seg: 89.7735, decode.kl_loss: 0.0481, loss: 0.0857 +2023-03-06 00:00:30,881 - mmseg - INFO - Exp name: ablation_segformer_mit_b2_segformer_head_unet_fc_small_multi_step_ade_pretrained_freeze_embed_160k_ade20k151_finetune_ema_ce.py +2023-03-06 00:00:30,881 - mmseg - INFO - Iter [14000/160000] lr: 1.500e-04, eta: 8:18:33, time: 0.206, data_time: 0.007, memory: 19921, decode.loss_ce: 0.0381, decode.acc_seg: 89.8669, decode.kl_loss: 0.0463, loss: 0.0845 +2023-03-06 00:00:41,331 - mmseg - INFO - Iter [14050/160000] lr: 1.500e-04, eta: 8:18:25, time: 0.209, data_time: 0.007, memory: 19921, decode.loss_ce: 0.0381, decode.acc_seg: 89.9326, decode.kl_loss: 0.0486, loss: 0.0867 +2023-03-06 00:00:51,254 - mmseg - INFO - Iter [14100/160000] lr: 1.500e-04, eta: 8:18:11, time: 0.198, data_time: 0.007, memory: 19921, decode.loss_ce: 0.0368, decode.acc_seg: 90.0818, decode.kl_loss: 0.0475, loss: 0.0844 +2023-03-06 00:01:01,168 - mmseg - INFO - Iter [14150/160000] lr: 1.500e-04, eta: 8:17:58, time: 0.198, data_time: 0.007, memory: 19921, decode.loss_ce: 0.0377, decode.acc_seg: 90.1038, decode.kl_loss: 0.0452, loss: 0.0828 +2023-03-06 00:01:11,359 - mmseg - INFO - Iter [14200/160000] lr: 1.500e-04, eta: 8:17:47, time: 0.204, data_time: 0.008, memory: 19921, decode.loss_ce: 0.0378, decode.acc_seg: 89.6775, decode.kl_loss: 0.0544, loss: 0.0922 +2023-03-06 00:01:21,199 - mmseg - INFO - Iter [14250/160000] lr: 1.500e-04, eta: 8:17:33, time: 0.197, data_time: 0.007, memory: 19921, decode.loss_ce: 0.0402, decode.acc_seg: 89.4944, decode.kl_loss: 0.0486, loss: 0.0888 +2023-03-06 00:01:31,483 - mmseg - INFO - Iter [14300/160000] lr: 1.500e-04, eta: 8:17:23, time: 0.206, data_time: 0.008, memory: 19921, decode.loss_ce: 0.0376, decode.acc_seg: 89.8248, decode.kl_loss: 0.0517, loss: 0.0893 +2023-03-06 00:01:41,529 - mmseg - INFO - Iter [14350/160000] lr: 1.500e-04, eta: 8:17:11, time: 0.201, data_time: 0.008, memory: 19921, decode.loss_ce: 0.0388, decode.acc_seg: 89.5675, decode.kl_loss: 0.0523, loss: 0.0911 +2023-03-06 00:01:51,538 - mmseg - INFO - Iter [14400/160000] lr: 1.500e-04, eta: 8:16:58, time: 0.200, data_time: 0.008, memory: 19921, decode.loss_ce: 0.0373, decode.acc_seg: 90.1171, decode.kl_loss: 0.0496, loss: 0.0869 +2023-03-06 00:02:01,422 - mmseg - INFO - Iter [14450/160000] lr: 1.500e-04, eta: 8:16:44, time: 0.198, data_time: 0.008, memory: 19921, decode.loss_ce: 0.0374, decode.acc_seg: 89.9508, decode.kl_loss: 0.0489, loss: 0.0864 +2023-03-06 00:02:11,563 - mmseg - INFO - Iter [14500/160000] lr: 1.500e-04, eta: 8:16:33, time: 0.203, data_time: 0.007, memory: 19921, decode.loss_ce: 0.0363, decode.acc_seg: 90.3437, decode.kl_loss: 0.0480, loss: 0.0843 +2023-03-06 00:02:24,421 - mmseg - INFO - Iter [14550/160000] lr: 1.500e-04, eta: 8:16:49, time: 0.257, data_time: 0.053, memory: 19921, decode.loss_ce: 0.0396, decode.acc_seg: 89.6867, decode.kl_loss: 0.0469, loss: 0.0865 +2023-03-06 00:02:34,818 - mmseg - INFO - Iter [14600/160000] lr: 1.500e-04, eta: 8:16:40, time: 0.208, data_time: 0.008, memory: 19921, decode.loss_ce: 0.0402, decode.acc_seg: 89.1590, decode.kl_loss: 0.0523, loss: 0.0925 +2023-03-06 00:02:44,793 - mmseg - INFO - Iter [14650/160000] lr: 1.500e-04, eta: 8:16:27, time: 0.199, data_time: 0.008, memory: 19921, decode.loss_ce: 0.0392, decode.acc_seg: 89.5506, decode.kl_loss: 0.0472, loss: 0.0864 +2023-03-06 00:02:54,788 - mmseg - INFO - Iter [14700/160000] lr: 1.500e-04, eta: 8:16:14, time: 0.200, data_time: 0.008, memory: 19921, decode.loss_ce: 0.0407, decode.acc_seg: 89.0709, decode.kl_loss: 0.0513, loss: 0.0920 +2023-03-06 00:03:04,815 - mmseg - INFO - Iter [14750/160000] lr: 1.500e-04, eta: 8:16:02, time: 0.201, data_time: 0.008, memory: 19921, decode.loss_ce: 0.0392, decode.acc_seg: 89.5747, decode.kl_loss: 0.0487, loss: 0.0878 +2023-03-06 00:03:14,961 - mmseg - INFO - Iter [14800/160000] lr: 1.500e-04, eta: 8:15:51, time: 0.203, data_time: 0.007, memory: 19921, decode.loss_ce: 0.0381, decode.acc_seg: 89.9276, decode.kl_loss: 0.0461, loss: 0.0842 +2023-03-06 00:03:24,832 - mmseg - INFO - Iter [14850/160000] lr: 1.500e-04, eta: 8:15:37, time: 0.197, data_time: 0.008, memory: 19921, decode.loss_ce: 0.0401, decode.acc_seg: 89.5994, decode.kl_loss: 0.0470, loss: 0.0871 +2023-03-06 00:03:35,030 - mmseg - INFO - Iter [14900/160000] lr: 1.500e-04, eta: 8:15:26, time: 0.204, data_time: 0.008, memory: 19921, decode.loss_ce: 0.0376, decode.acc_seg: 90.0152, decode.kl_loss: 0.0421, loss: 0.0797 +2023-03-06 00:03:44,911 - mmseg - INFO - Iter [14950/160000] lr: 1.500e-04, eta: 8:15:12, time: 0.198, data_time: 0.008, memory: 19921, decode.loss_ce: 0.0378, decode.acc_seg: 89.7681, decode.kl_loss: 0.0460, loss: 0.0838 +2023-03-06 00:03:54,787 - mmseg - INFO - Exp name: ablation_segformer_mit_b2_segformer_head_unet_fc_small_multi_step_ade_pretrained_freeze_embed_160k_ade20k151_finetune_ema_ce.py +2023-03-06 00:03:54,788 - mmseg - INFO - Iter [15000/160000] lr: 1.500e-04, eta: 8:14:59, time: 0.198, data_time: 0.007, memory: 19921, decode.loss_ce: 0.0361, decode.acc_seg: 90.2887, decode.kl_loss: 0.0475, loss: 0.0835 +2023-03-06 00:04:04,706 - mmseg - INFO - Iter [15050/160000] lr: 1.500e-04, eta: 8:14:45, time: 0.198, data_time: 0.007, memory: 19921, decode.loss_ce: 0.0371, decode.acc_seg: 89.9069, decode.kl_loss: 0.0479, loss: 0.0850 +2023-03-06 00:04:14,574 - mmseg - INFO - Iter [15100/160000] lr: 1.500e-04, eta: 8:14:31, time: 0.197, data_time: 0.007, memory: 19921, decode.loss_ce: 0.0382, decode.acc_seg: 89.6552, decode.kl_loss: 0.0511, loss: 0.0893 +2023-03-06 00:04:27,197 - mmseg - INFO - Iter [15150/160000] lr: 1.500e-04, eta: 8:14:44, time: 0.252, data_time: 0.056, memory: 19921, decode.loss_ce: 0.0362, decode.acc_seg: 90.3768, decode.kl_loss: 0.0474, loss: 0.0836 +2023-03-06 00:04:37,222 - mmseg - INFO - Iter [15200/160000] lr: 1.500e-04, eta: 8:14:32, time: 0.201, data_time: 0.007, memory: 19921, decode.loss_ce: 0.0378, decode.acc_seg: 89.8954, decode.kl_loss: 0.0472, loss: 0.0850 +2023-03-06 00:04:47,163 - mmseg - INFO - Iter [15250/160000] lr: 1.500e-04, eta: 8:14:19, time: 0.199, data_time: 0.007, memory: 19921, decode.loss_ce: 0.0368, decode.acc_seg: 90.2098, decode.kl_loss: 0.0470, loss: 0.0838 +2023-03-06 00:04:57,254 - mmseg - INFO - Iter [15300/160000] lr: 1.500e-04, eta: 8:14:07, time: 0.202, data_time: 0.007, memory: 19921, decode.loss_ce: 0.0376, decode.acc_seg: 89.9548, decode.kl_loss: 0.0511, loss: 0.0886 +2023-03-06 00:05:07,098 - mmseg - INFO - Iter [15350/160000] lr: 1.500e-04, eta: 8:13:53, time: 0.197, data_time: 0.007, memory: 19921, decode.loss_ce: 0.0372, decode.acc_seg: 90.0101, decode.kl_loss: 0.0523, loss: 0.0896 +2023-03-06 00:05:17,030 - mmseg - INFO - Iter [15400/160000] lr: 1.500e-04, eta: 8:13:40, time: 0.199, data_time: 0.007, memory: 19921, decode.loss_ce: 0.0384, decode.acc_seg: 89.9169, decode.kl_loss: 0.0483, loss: 0.0868 +2023-03-06 00:05:26,994 - mmseg - INFO - Iter [15450/160000] lr: 1.500e-04, eta: 8:13:27, time: 0.199, data_time: 0.007, memory: 19921, decode.loss_ce: 0.0369, decode.acc_seg: 90.1208, decode.kl_loss: 0.0445, loss: 0.0814 +2023-03-06 00:05:37,008 - mmseg - INFO - Iter [15500/160000] lr: 1.500e-04, eta: 8:13:14, time: 0.200, data_time: 0.007, memory: 19921, decode.loss_ce: 0.0377, decode.acc_seg: 90.0766, decode.kl_loss: 0.0455, loss: 0.0833 +2023-03-06 00:05:46,929 - mmseg - INFO - Iter [15550/160000] lr: 1.500e-04, eta: 8:13:01, time: 0.198, data_time: 0.007, memory: 19921, decode.loss_ce: 0.0377, decode.acc_seg: 90.0924, decode.kl_loss: 0.0467, loss: 0.0844 +2023-03-06 00:05:56,866 - mmseg - INFO - Iter [15600/160000] lr: 1.500e-04, eta: 8:12:48, time: 0.199, data_time: 0.008, memory: 19921, decode.loss_ce: 0.0364, decode.acc_seg: 90.3062, decode.kl_loss: 0.0462, loss: 0.0826 +2023-03-06 00:06:07,139 - mmseg - INFO - Iter [15650/160000] lr: 1.500e-04, eta: 8:12:38, time: 0.205, data_time: 0.008, memory: 19921, decode.loss_ce: 0.0367, decode.acc_seg: 90.0306, decode.kl_loss: 0.0462, loss: 0.0829 +2023-03-06 00:06:17,520 - mmseg - INFO - Iter [15700/160000] lr: 1.500e-04, eta: 8:12:29, time: 0.208, data_time: 0.007, memory: 19921, decode.loss_ce: 0.0373, decode.acc_seg: 90.1016, decode.kl_loss: 0.0439, loss: 0.0813 +2023-03-06 00:06:27,509 - mmseg - INFO - Iter [15750/160000] lr: 1.500e-04, eta: 8:12:17, time: 0.200, data_time: 0.007, memory: 19921, decode.loss_ce: 0.0386, decode.acc_seg: 89.6321, decode.kl_loss: 0.0545, loss: 0.0930 +2023-03-06 00:06:39,906 - mmseg - INFO - Iter [15800/160000] lr: 1.500e-04, eta: 8:12:26, time: 0.248, data_time: 0.053, memory: 19921, decode.loss_ce: 0.0368, decode.acc_seg: 90.1582, decode.kl_loss: 0.0497, loss: 0.0866 +2023-03-06 00:06:50,633 - mmseg - INFO - Iter [15850/160000] lr: 1.500e-04, eta: 8:12:20, time: 0.214, data_time: 0.007, memory: 19921, decode.loss_ce: 0.0383, decode.acc_seg: 89.9039, decode.kl_loss: 0.0457, loss: 0.0841 +2023-03-06 00:07:00,679 - mmseg - INFO - Iter [15900/160000] lr: 1.500e-04, eta: 8:12:08, time: 0.201, data_time: 0.008, memory: 19921, decode.loss_ce: 0.0406, decode.acc_seg: 89.2100, decode.kl_loss: 0.0522, loss: 0.0929 +2023-03-06 00:07:10,651 - mmseg - INFO - Iter [15950/160000] lr: 1.500e-04, eta: 8:11:56, time: 0.200, data_time: 0.008, memory: 19921, decode.loss_ce: 0.0384, decode.acc_seg: 89.7292, decode.kl_loss: 0.0475, loss: 0.0858 +2023-03-06 00:07:20,622 - mmseg - INFO - Swap parameters (after train) after iter [16000] +2023-03-06 00:07:20,635 - mmseg - INFO - Saving checkpoint at 16000 iterations +2023-03-06 00:07:21,613 - mmseg - INFO - Exp name: ablation_segformer_mit_b2_segformer_head_unet_fc_small_multi_step_ade_pretrained_freeze_embed_160k_ade20k151_finetune_ema_ce.py +2023-03-06 00:07:21,613 - mmseg - INFO - Iter [16000/160000] lr: 1.500e-04, eta: 8:11:52, time: 0.219, data_time: 0.007, memory: 19921, decode.loss_ce: 0.0379, decode.acc_seg: 89.8482, decode.kl_loss: 0.0505, loss: 0.0884 +2023-03-06 00:20:58,885 - mmseg - INFO - per class results: +2023-03-06 00:20:58,894 - mmseg - INFO - ++---------------------+-------------------------------------------------------------------+ +| Class | IoU 0,10,20,30,40,50,60,70,80,90,99 | ++---------------------+-------------------------------------------------------------------+ +| background | nan,nan,nan,nan,nan,nan,nan,nan,nan,nan,nan | +| wall | 75.72,75.86,75.89,75.92,75.93,75.92,75.93,75.92,75.89,75.84,75.72 | +| building | 80.56,80.58,80.6,80.61,80.62,80.62,80.62,80.61,80.61,80.6,80.56 | +| sky | 94.11,94.13,94.14,94.15,94.15,94.15,94.14,94.14,94.13,94.11,94.06 | +| floor | 80.56,80.62,80.64,80.66,80.67,80.67,80.67,80.65,80.63,80.6,80.55 | +| tree | 73.35,73.36,73.39,73.41,73.41,73.42,73.41,73.42,73.41,73.35,73.24 | +| ceiling | 83.42,83.51,83.56,83.58,83.59,83.59,83.6,83.59,83.56,83.51,83.42 | +| road | 81.08,81.18,81.19,81.19,81.18,81.18,81.18,81.16,81.15,81.13,81.11 | +| bed | 85.74,85.8,85.84,85.88,85.93,85.94,85.95,85.95,85.93,85.87,85.79 | +| windowpane | 58.96,59.12,59.16,59.15,59.14,59.13,59.13,59.08,59.04,58.92,58.78 | +| grass | 66.08,66.16,66.14,66.16,66.21,66.21,66.2,66.2,66.22,66.2,66.14 | +| cabinet | 59.02,59.12,59.15,59.18,59.25,59.23,59.21,59.28,59.23,59.21,59.14 | +| sidewalk | 61.23,61.41,61.44,61.48,61.46,61.51,61.48,61.49,61.44,61.41,61.31 | +| person | 77.67,77.77,77.83,77.85,77.84,77.84,77.88,77.87,77.89,77.83,77.74 | +| earth | 34.94,34.94,34.94,34.97,34.98,34.96,34.92,34.88,34.85,34.8,34.75 | +| door | 42.51,42.53,42.51,42.57,42.65,42.66,42.73,42.77,42.85,42.89,42.89 | +| table | 55.81,56.12,56.25,56.27,56.31,56.25,56.28,56.23,56.15,56.0,55.8 | +| mountain | 56.0,55.93,55.94,55.96,55.98,55.99,56.04,56.08,56.11,56.13,56.11 | +| plant | 49.48,49.68,49.62,49.71,49.72,49.63,49.63,49.59,49.56,49.45,49.33 | +| curtain | 72.03,72.16,72.18,72.28,72.26,72.28,72.37,72.35,72.33,72.32,72.25 | +| chair | 52.65,53.04,53.11,53.2,53.21,53.17,53.21,53.1,53.07,52.98,52.87 | +| car | 80.85,80.71,80.7,80.71,80.74,80.77,80.73,80.78,80.75,80.79,80.78 | +| water | 57.6,57.5,57.49,57.49,57.49,57.51,57.49,57.46,57.47,57.5,57.5 | +| painting | 68.52,68.78,68.88,68.89,68.82,68.79,68.76,68.7,68.64,68.59,68.41 | +| sofa | 61.75,61.91,62.03,62.06,62.11,62.13,62.19,62.18,62.19,62.16,62.11 | +| shelf | 43.1,43.21,43.28,43.27,43.34,43.45,43.45,43.49,43.54,43.54,43.5 | +| house | 35.44,35.16,35.07,35.11,35.17,35.21,35.26,35.5,35.77,36.17,36.49 | +| sea | 60.86,60.74,60.81,60.73,60.75,60.81,60.8,60.79,60.82,60.84,60.84 | +| mirror | 61.05,61.11,61.28,61.33,61.28,61.31,61.24,61.19,61.18,61.15,61.14 | +| rug | 61.38,61.38,61.52,61.51,61.68,61.74,61.74,61.88,61.87,61.77,61.64 | +| field | 30.35,30.35,30.34,30.34,30.35,30.35,30.34,30.35,30.34,30.34,30.34 | +| armchair | 34.65,34.99,34.94,35.12,35.12,35.09,35.1,35.0,35.01,35.04,35.04 | +| seat | 64.52,64.82,64.82,64.83,64.99,65.03,65.02,65.01,65.01,65.01,64.97 | +| fence | 37.87,38.0,38.13,38.16,38.32,38.39,38.41,38.52,38.57,38.58,38.48 | +| desk | 44.15,44.44,44.51,44.5,44.59,44.52,44.56,44.53,44.43,44.24,44.14 | +| rock | 36.79,36.66,36.61,36.63,36.62,36.55,36.56,36.59,36.6,36.62,36.53 | +| wardrobe | 54.16,54.41,54.52,54.6,54.65,54.64,54.6,54.53,54.56,54.55,54.42 | +| lamp | 58.44,58.75,58.73,58.78,58.83,58.81,58.8,58.79,58.74,58.63,58.58 | +| bathtub | 72.19,71.75,71.78,72.0,72.17,72.16,72.22,72.3,72.35,72.3,72.25 | +| railing | 33.0,32.59,32.65,32.91,32.95,33.15,33.23,33.43,33.44,33.53,33.48 | +| cushion | 50.65,50.94,51.02,51.02,51.13,51.24,51.18,51.12,51.05,51.14,51.09 | +| base | 17.84,18.32,18.41,18.44,18.2,18.12,18.04,17.96,17.99,18.05,18.13 | +| box | 20.93,20.98,21.07,21.15,21.12,21.19,21.24,21.22,21.12,21.18,21.29 | +| column | 43.31,43.39,43.41,43.55,43.62,43.69,43.73,43.77,43.73,43.72,43.71 | +| signboard | 34.68,34.87,34.94,35.0,35.03,34.98,34.99,35.06,35.03,35.13,35.07 | +| chest of drawers | 35.31,34.91,34.96,35.04,35.27,35.33,35.48,35.48,35.53,35.55,35.54 | +| counter | 29.08,29.13,29.26,29.28,29.36,29.53,29.56,29.62,29.72,29.74,29.75 | +| sand | 38.17,37.87,38.13,38.07,38.09,38.15,38.29,38.42,38.54,38.68,38.75 | +| sink | 64.29,64.33,64.47,64.47,64.41,64.4,64.33,64.39,64.27,64.1,63.94 | +| skyscraper | 46.37,47.07,47.02,47.0,46.78,46.92,46.82,46.71,46.68,46.78,47.02 | +| fireplace | 72.27,72.79,72.91,72.92,72.75,72.79,72.91,72.8,72.75,72.46,72.28 | +| refrigerator | 71.1,71.39,71.35,71.42,71.4,71.46,71.51,71.44,71.4,71.25,71.16 | +| grandstand | 55.24,55.3,55.3,55.47,55.54,55.52,55.58,55.51,55.57,55.55,55.48 | +| path | 19.8,19.81,19.89,19.91,19.96,19.96,19.88,19.85,19.94,19.99,20.05 | +| stairs | 32.62,33.52,33.5,33.5,33.26,33.12,33.05,32.98,32.87,32.78,32.65 | +| runway | 66.55,66.23,66.33,66.36,66.45,66.52,66.58,66.64,66.65,66.66,66.56 | +| case | 47.96,48.42,48.62,48.53,48.66,48.81,48.75,48.83,48.87,48.96,48.93 | +| pool table | 90.54,90.5,90.5,90.55,90.62,90.55,90.55,90.64,90.6,90.56,90.47 | +| pillow | 49.01,50.15,50.11,50.22,50.34,50.48,50.5,50.53,50.65,50.66,50.68 | +| screen door | 65.94,65.87,65.85,65.7,65.73,65.58,65.62,65.37,65.38,65.32,65.28 | +| stairway | 23.57,23.74,23.79,23.65,23.72,23.68,23.59,23.64,23.54,23.47,23.37 | +| river | 11.19,11.37,11.31,11.32,11.25,11.25,11.23,11.24,11.26,11.28,11.31 | +| bridge | 31.84,30.92,31.22,31.14,31.12,31.42,31.48,31.73,31.92,32.08,32.11 | +| bookcase | 42.2,42.88,43.05,43.19,43.07,43.09,43.16,43.16,43.18,43.21,43.14 | +| blind | 31.75,32.04,32.01,32.04,31.99,31.94,32.02,32.03,32.13,32.15,32.16 | +| coffee table | 54.12,54.31,54.26,54.43,54.57,54.5,54.47,54.42,54.25,54.02,53.89 | +| toilet | 80.33,80.55,80.5,80.36,80.52,80.47,80.46,80.33,80.22,79.97,79.73 | +| flower | 38.56,38.84,38.76,38.78,38.89,38.77,38.83,38.88,38.89,38.96,38.88 | +| book | 39.06,39.63,39.65,39.54,39.62,39.61,39.5,39.43,39.35,39.39,39.29 | +| hill | 11.91,11.84,11.79,11.88,12.0,11.95,11.92,11.83,11.99,12.05,12.07 | +| bench | 40.39,40.82,40.82,40.66,40.75,40.6,40.51,40.56,40.43,40.36,40.32 | +| countertop | 50.47,50.37,50.34,50.48,50.64,50.55,50.57,50.52,50.55,50.55,50.55 | +| stove | 67.41,67.7,67.59,67.82,67.8,67.86,67.79,67.74,67.81,67.81,67.85 | +| palm | 48.1,48.3,48.32,48.4,48.3,48.3,48.21,48.22,48.22,48.07,48.07 | +| kitchen island | 34.55,34.97,34.94,35.01,35.2,35.04,35.1,35.08,34.92,34.92,34.9 | +| computer | 58.02,58.11,58.07,58.21,58.26,58.3,58.3,58.41,58.4,58.27,58.17 | +| swivel chair | 41.88,41.45,41.69,41.74,41.93,41.92,42.07,42.23,42.28,42.29,42.3 | +| boat | 70.44,70.84,70.77,70.76,70.86,70.68,70.75,70.85,70.87,70.82,70.8 | +| bar | 22.52,22.28,22.35,22.4,22.34,22.49,22.4,22.34,22.45,22.37,22.41 | +| arcade machine | 66.08,66.44,66.74,66.85,67.03,67.13,67.52,67.74,68.25,68.65,68.8 | +| hovel | 22.58,23.36,23.66,23.31,23.59,23.44,23.53,23.59,23.59,23.77,23.95 | +| bus | 78.96,79.03,78.92,79.06,78.99,79.07,79.06,79.02,78.9,78.93,78.88 | +| towel | 58.03,57.97,58.14,58.23,58.43,58.55,58.65,58.45,58.56,58.48,58.29 | +| light | 31.43,30.09,30.97,31.77,32.53,33.36,33.94,34.7,35.44,35.74,35.87 | +| truck | 21.77,21.16,20.54,20.95,21.02,21.32,21.02,21.07,21.2,21.12,20.99 | +| tower | 10.5,9.51,9.67,9.86,9.99,10.14,10.24,10.36,10.46,10.64,10.71 | +| chandelier | 61.17,61.69,61.55,61.56,61.79,61.64,61.68,61.73,61.58,61.68,61.51 | +| awning | 15.48,15.75,15.66,15.6,15.6,15.66,15.66,15.75,15.89,16.13,16.27 | +| streetlight | 16.67,16.58,16.9,16.96,16.93,16.94,16.96,17.19,17.38,17.38,17.32 | +| booth | 34.53,35.38,35.0,34.93,34.54,34.48,34.67,34.61,34.75,34.86,34.88 | +| television receiver | 64.73,65.21,65.39,65.19,65.51,65.5,65.43,65.42,65.38,65.14,64.87 | +| airplane | 53.71,53.65,53.97,53.67,53.32,53.51,53.41,53.49,53.43,53.55,53.76 | +| dirt track | 11.27,11.53,11.29,11.42,11.5,11.73,11.79,12.02,12.25,12.25,12.33 | +| apparel | 35.83,36.17,36.34,36.53,36.73,36.42,36.75,36.59,36.4,36.21,36.05 | +| pole | 12.36,12.77,12.87,13.06,13.07,12.98,13.05,12.96,13.12,13.19,13.24 | +| land | 2.68,2.16,2.22,2.35,2.46,2.64,2.81,3.02,3.29,3.5,3.55 | +| bannister | 9.68,9.64,9.56,9.53,9.51,9.68,9.46,9.72,9.8,9.83,9.87 | +| escalator | 22.62,22.53,22.65,22.68,22.92,23.08,23.18,23.25,23.53,23.64,23.7 | +| ottoman | 39.07,39.74,39.9,40.01,40.12,40.12,40.08,39.87,39.85,39.72,39.72 | +| bottle | 30.87,30.93,30.96,31.11,31.07,31.49,31.4,31.53,31.73,31.87,31.99 | +| buffet | 31.12,31.76,31.71,32.02,31.97,32.14,32.33,32.67,32.87,33.24,33.38 | +| poster | 21.94,22.04,22.19,22.45,22.48,22.4,22.11,22.18,22.25,22.25,22.19 | +| stage | 12.95,12.86,13.02,12.9,12.82,12.78,12.72,12.74,12.77,12.84,12.96 | +| van | 38.03,37.96,37.86,37.85,37.77,37.63,37.76,37.79,37.87,37.96,37.92 | +| ship | 77.77,77.69,77.28,77.47,77.74,77.98,78.35,78.56,78.83,78.71,78.67 | +| fountain | 4.54,4.29,4.44,4.62,4.56,4.47,4.2,4.34,4.38,4.38,4.37 | +| conveyer belt | 82.62,82.42,82.61,82.56,82.7,82.68,82.27,82.24,82.21,82.14,82.14 | +| canopy | 24.67,25.28,25.1,25.15,25.04,25.06,25.05,24.71,24.7,24.6,24.29 | +| washer | 66.61,67.23,67.49,67.46,67.55,67.59,67.82,67.96,68.36,68.78,69.13 | +| plaything | 19.02,19.07,18.77,18.82,18.96,19.14,19.2,19.17,19.25,19.31,19.5 | +| swimming pool | 72.88,72.78,72.79,72.99,72.94,73.11,73.34,73.41,73.73,73.86,73.81 | +| stool | 36.57,35.62,35.62,36.48,37.24,37.69,38.04,38.79,39.19,39.5,39.51 | +| barrel | 33.56,35.56,34.69,35.74,35.01,35.26,35.37,35.03,35.17,34.76,34.62 | +| basket | 22.12,22.34,22.32,22.37,22.31,22.28,22.15,22.09,21.98,21.97,21.9 | +| waterfall | 51.0,51.52,51.49,51.79,51.56,51.21,51.18,50.89,50.7,50.52,50.42 | +| tent | 94.27,94.41,94.6,94.66,94.62,94.61,94.46,94.37,94.23,94.04,93.86 | +| bag | 10.97,10.51,10.49,10.47,10.53,10.85,11.19,11.39,11.48,11.67,11.6 | +| minibike | 59.16,60.57,60.99,60.8,60.91,61.03,61.1,61.47,61.11,61.32,61.61 | +| cradle | 80.27,80.58,80.67,80.65,80.77,80.82,80.82,80.81,81.0,81.12,81.11 | +| oven | 39.37,39.4,39.23,39.97,40.14,40.13,40.32,40.49,40.68,40.85,40.97 | +| ball | 39.58,39.46,39.73,39.82,39.61,39.74,39.97,39.89,40.03,39.99,39.94 | +| food | 38.18,38.52,38.92,39.29,39.67,39.67,39.88,39.65,39.85,39.7,39.55 | +| step | 7.42,6.48,6.82,6.82,7.04,7.13,7.43,7.56,7.72,7.75,7.85 | +| tank | 47.45,46.89,46.93,46.78,46.67,46.86,46.78,46.81,46.95,47.04,47.19 | +| trade name | 24.55,23.89,24.27,24.57,24.45,24.82,25.06,25.22,25.19,25.24,25.18 | +| microwave | 66.19,67.64,67.84,67.81,68.07,68.2,68.38,68.61,68.71,68.81,68.71 | +| pot | 22.13,22.19,22.63,22.69,22.89,23.08,23.36,23.56,23.93,23.99,24.17 | +| animal | 55.45,55.59,55.63,55.66,55.86,55.83,55.87,55.93,56.02,55.98,55.87 | +| bicycle | 46.93,46.96,47.02,47.24,47.22,47.57,47.61,47.34,47.22,47.26,47.29 | +| lake | 56.83,56.8,56.85,56.92,56.88,57.04,57.0,57.08,57.08,57.09,57.09 | +| dishwasher | 62.34,62.45,62.61,62.46,62.85,62.64,62.66,62.64,62.55,62.33,62.02 | +| screen | 64.25,64.2,64.26,64.38,64.25,64.28,64.18,64.07,64.01,63.95,63.84 | +| blanket | 11.92,11.83,12.09,12.14,12.12,12.16,12.08,12.11,12.14,12.21,12.24 | +| sculpture | 58.99,59.65,59.62,60.0,60.45,59.76,60.34,60.45,60.36,60.26,59.91 | +| hood | 53.3,53.2,53.64,53.88,54.85,55.15,55.2,55.79,56.25,56.36,56.24 | +| sconce | 35.03,34.16,34.94,35.77,36.39,36.92,37.01,37.55,37.81,37.89,37.99 | +| vase | 30.2,30.23,30.38,30.81,30.74,30.65,30.97,31.02,30.94,30.89,30.6 | +| traffic light | 28.67,27.52,28.23,28.2,28.36,28.68,28.84,29.11,29.18,29.48,29.72 | +| tray | 4.09,3.83,4.07,3.97,4.2,4.35,4.38,4.51,4.57,4.61,4.57 | +| ashcan | 33.01,34.4,34.82,34.91,34.58,34.69,34.29,34.09,33.83,33.32,33.29 | +| fan | 46.74,46.83,46.4,46.69,47.19,47.9,48.49,49.03,49.84,50.16,50.31 | +| pier | 41.26,41.26,41.65,42.58,42.7,42.28,42.96,43.58,43.92,43.86,44.16 | +| crt screen | 2.95,2.71,2.8,2.82,2.75,2.71,2.77,2.72,2.83,2.84,2.85 | +| plate | 40.14,40.15,39.79,39.95,40.62,40.49,40.58,40.87,40.88,41.09,41.26 | +| monitor | 7.4,7.04,6.9,6.84,6.87,6.72,6.89,6.92,7.1,7.25,7.42 | +| bulletin board | 34.85,35.62,35.57,35.18,35.28,35.46,35.07,34.82,34.89,34.89,34.97 | +| shower | 0.72,0.54,0.55,0.54,0.6,0.56,0.6,0.64,0.78,0.86,0.87 | +| radiator | 51.92,51.93,51.69,52.17,52.35,53.16,53.26,53.78,54.22,54.98,55.3 | +| glass | 8.06,7.38,7.42,7.45,7.63,7.9,7.98,8.12,8.39,8.49,8.57 | +| clock | 26.16,23.91,23.97,24.96,23.88,24.33,24.3,25.18,25.43,26.1,25.93 | +| flag | 32.29,32.16,32.03,32.08,32.3,32.15,32.17,32.37,32.34,32.35,32.42 | ++---------------------+-------------------------------------------------------------------+ +2023-03-06 00:20:58,894 - mmseg - INFO - Summary: +2023-03-06 00:20:58,894 - mmseg - INFO - ++-----------------------------------------------------------------+ +| mIoU 0,10,20,30,40,50,60,70,80,90,99 | ++-----------------------------------------------------------------+ +| 44.97,45.05,45.11,45.2,45.26,45.31,45.35,45.4,45.46,45.48,45.46 | ++-----------------------------------------------------------------+ +2023-03-06 00:21:00,012 - mmseg - INFO - Now best checkpoint is saved as best_mIoU_iter_16000.pth. +2023-03-06 00:21:00,013 - mmseg - INFO - Best mIoU is 0.4546 at 16000 iter. +2023-03-06 00:21:00,013 - mmseg - INFO - Exp name: ablation_segformer_mit_b2_segformer_head_unet_fc_small_multi_step_ade_pretrained_freeze_embed_160k_ade20k151_finetune_ema_ce.py +2023-03-06 00:21:00,013 - mmseg - INFO - Iter(val) [250] mIoU: [0.4497, 0.4505, 0.4511, 0.452, 0.4526, 0.4531, 0.4535, 0.454, 0.4546, 0.4548, 0.4546], copy_paste: 44.97,45.05,45.11,45.2,45.26,45.31,45.35,45.4,45.46,45.48,45.46 +2023-03-06 00:21:00,019 - mmseg - INFO - Swap parameters (before train) before iter [16001] +2023-03-06 00:21:10,132 - mmseg - INFO - Iter [16050/160000] lr: 1.500e-04, eta: 10:14:00, time: 16.571, data_time: 16.376, memory: 52540, decode.loss_ce: 0.0378, decode.acc_seg: 90.0085, decode.kl_loss: 0.0467, loss: 0.0846 +2023-03-06 00:21:20,542 - mmseg - INFO - Iter [16100/160000] lr: 1.500e-04, eta: 10:13:26, time: 0.208, data_time: 0.007, memory: 52540, decode.loss_ce: 0.0377, decode.acc_seg: 89.8529, decode.kl_loss: 0.0498, loss: 0.0875 +2023-03-06 00:21:30,695 - mmseg - INFO - Iter [16150/160000] lr: 1.500e-04, eta: 10:12:50, time: 0.203, data_time: 0.007, memory: 52540, decode.loss_ce: 0.0358, decode.acc_seg: 90.4247, decode.kl_loss: 0.0472, loss: 0.0830 +2023-03-06 00:21:40,919 - mmseg - INFO - Iter [16200/160000] lr: 1.500e-04, eta: 10:12:15, time: 0.204, data_time: 0.008, memory: 52540, decode.loss_ce: 0.0392, decode.acc_seg: 89.5958, decode.kl_loss: 0.0470, loss: 0.0862 +2023-03-06 00:21:50,935 - mmseg - INFO - Iter [16250/160000] lr: 1.500e-04, eta: 10:11:37, time: 0.200, data_time: 0.007, memory: 52540, decode.loss_ce: 0.0380, decode.acc_seg: 89.7297, decode.kl_loss: 0.0473, loss: 0.0854 +2023-03-06 00:22:00,836 - mmseg - INFO - Iter [16300/160000] lr: 1.500e-04, eta: 10:10:59, time: 0.198, data_time: 0.007, memory: 52540, decode.loss_ce: 0.0393, decode.acc_seg: 89.4415, decode.kl_loss: 0.0515, loss: 0.0909 +2023-03-06 00:22:10,980 - mmseg - INFO - Iter [16350/160000] lr: 1.500e-04, eta: 10:10:24, time: 0.203, data_time: 0.007, memory: 52540, decode.loss_ce: 0.0433, decode.acc_seg: 88.2592, decode.kl_loss: 0.0646, loss: 0.1079 +2023-03-06 00:22:21,191 - mmseg - INFO - Iter [16400/160000] lr: 1.500e-04, eta: 10:09:49, time: 0.204, data_time: 0.008, memory: 52540, decode.loss_ce: 0.0486, decode.acc_seg: 86.9470, decode.kl_loss: 0.0636, loss: 0.1122 +2023-03-06 00:22:33,760 - mmseg - INFO - Iter [16450/160000] lr: 1.500e-04, eta: 10:09:35, time: 0.251, data_time: 0.056, memory: 52540, decode.loss_ce: 0.0398, decode.acc_seg: 89.4751, decode.kl_loss: 0.0539, loss: 0.0937 +2023-03-06 00:22:43,995 - mmseg - INFO - Iter [16500/160000] lr: 1.500e-04, eta: 10:09:00, time: 0.205, data_time: 0.007, memory: 52540, decode.loss_ce: 0.0399, decode.acc_seg: 89.6884, decode.kl_loss: 0.0545, loss: 0.0944 +2023-03-06 00:22:54,006 - mmseg - INFO - Iter [16550/160000] lr: 1.500e-04, eta: 10:08:24, time: 0.200, data_time: 0.007, memory: 52540, decode.loss_ce: 0.0392, decode.acc_seg: 89.7244, decode.kl_loss: 0.0513, loss: 0.0905 +2023-03-06 00:23:04,109 - mmseg - INFO - Iter [16600/160000] lr: 1.500e-04, eta: 10:07:48, time: 0.202, data_time: 0.007, memory: 52540, decode.loss_ce: 0.0382, decode.acc_seg: 89.7198, decode.kl_loss: 0.0522, loss: 0.0904 +2023-03-06 00:23:14,119 - mmseg - INFO - Iter [16650/160000] lr: 1.500e-04, eta: 10:07:12, time: 0.200, data_time: 0.007, memory: 52540, decode.loss_ce: 0.0432, decode.acc_seg: 88.9032, decode.kl_loss: 0.0545, loss: 0.0978 +2023-03-06 00:23:24,067 - mmseg - INFO - Iter [16700/160000] lr: 1.500e-04, eta: 10:06:36, time: 0.199, data_time: 0.007, memory: 52540, decode.loss_ce: 0.0395, decode.acc_seg: 89.6958, decode.kl_loss: 0.0528, loss: 0.0923 +2023-03-06 00:23:34,124 - mmseg - INFO - Iter [16750/160000] lr: 1.500e-04, eta: 10:06:01, time: 0.201, data_time: 0.008, memory: 52540, decode.loss_ce: 0.0394, decode.acc_seg: 89.5065, decode.kl_loss: 0.0508, loss: 0.0901 +2023-03-06 00:23:44,054 - mmseg - INFO - Iter [16800/160000] lr: 1.500e-04, eta: 10:05:24, time: 0.199, data_time: 0.007, memory: 52540, decode.loss_ce: 0.0392, decode.acc_seg: 89.7569, decode.kl_loss: 0.0501, loss: 0.0893 +2023-03-06 00:23:53,945 - mmseg - INFO - Iter [16850/160000] lr: 1.500e-04, eta: 10:04:48, time: 0.198, data_time: 0.007, memory: 52540, decode.loss_ce: 0.0370, decode.acc_seg: 90.1515, decode.kl_loss: 0.0511, loss: 0.0881 +2023-03-06 00:24:03,961 - mmseg - INFO - Iter [16900/160000] lr: 1.500e-04, eta: 10:04:13, time: 0.200, data_time: 0.007, memory: 52540, decode.loss_ce: 0.0389, decode.acc_seg: 89.6141, decode.kl_loss: 0.0546, loss: 0.0935 +2023-03-06 00:24:14,101 - mmseg - INFO - Iter [16950/160000] lr: 1.500e-04, eta: 10:03:39, time: 0.203, data_time: 0.007, memory: 52540, decode.loss_ce: 0.0396, decode.acc_seg: 89.6613, decode.kl_loss: 0.0531, loss: 0.0927 +2023-03-06 00:24:24,212 - mmseg - INFO - Exp name: ablation_segformer_mit_b2_segformer_head_unet_fc_small_multi_step_ade_pretrained_freeze_embed_160k_ade20k151_finetune_ema_ce.py +2023-03-06 00:24:24,212 - mmseg - INFO - Iter [17000/160000] lr: 1.500e-04, eta: 10:03:05, time: 0.202, data_time: 0.007, memory: 52540, decode.loss_ce: 0.0388, decode.acc_seg: 89.5947, decode.kl_loss: 0.0535, loss: 0.0923 +2023-03-06 00:24:36,667 - mmseg - INFO - Iter [17050/160000] lr: 1.500e-04, eta: 10:02:50, time: 0.249, data_time: 0.056, memory: 52540, decode.loss_ce: 0.0399, decode.acc_seg: 89.6449, decode.kl_loss: 0.0534, loss: 0.0933 +2023-03-06 00:24:46,950 - mmseg - INFO - Iter [17100/160000] lr: 1.500e-04, eta: 10:02:18, time: 0.206, data_time: 0.007, memory: 52540, decode.loss_ce: 0.0374, decode.acc_seg: 90.0590, decode.kl_loss: 0.0507, loss: 0.0881 +2023-03-06 00:24:57,032 - mmseg - INFO - Iter [17150/160000] lr: 1.500e-04, eta: 10:01:44, time: 0.202, data_time: 0.007, memory: 52540, decode.loss_ce: 0.0400, decode.acc_seg: 89.5185, decode.kl_loss: 0.0515, loss: 0.0915 +2023-03-06 00:25:07,178 - mmseg - INFO - Iter [17200/160000] lr: 1.500e-04, eta: 10:01:11, time: 0.203, data_time: 0.007, memory: 52540, decode.loss_ce: 0.0389, decode.acc_seg: 89.5388, decode.kl_loss: 0.0514, loss: 0.0904 +2023-03-06 00:25:17,111 - mmseg - INFO - Iter [17250/160000] lr: 1.500e-04, eta: 10:00:36, time: 0.199, data_time: 0.007, memory: 52540, decode.loss_ce: 0.0384, decode.acc_seg: 89.8742, decode.kl_loss: 0.0494, loss: 0.0878 +2023-03-06 00:25:27,011 - mmseg - INFO - Iter [17300/160000] lr: 1.500e-04, eta: 10:00:01, time: 0.198, data_time: 0.007, memory: 52540, decode.loss_ce: 0.0396, decode.acc_seg: 89.5096, decode.kl_loss: 0.0529, loss: 0.0925 +2023-03-06 00:25:36,923 - mmseg - INFO - Iter [17350/160000] lr: 1.500e-04, eta: 9:59:26, time: 0.198, data_time: 0.007, memory: 52540, decode.loss_ce: 0.0424, decode.acc_seg: 88.7622, decode.kl_loss: 0.0613, loss: 0.1037 +2023-03-06 00:25:47,098 - mmseg - INFO - Iter [17400/160000] lr: 1.500e-04, eta: 9:58:53, time: 0.203, data_time: 0.007, memory: 52540, decode.loss_ce: 0.0381, decode.acc_seg: 89.7472, decode.kl_loss: 0.0524, loss: 0.0905 +2023-03-06 00:25:57,115 - mmseg - INFO - Iter [17450/160000] lr: 1.500e-04, eta: 9:58:19, time: 0.200, data_time: 0.007, memory: 52540, decode.loss_ce: 0.0427, decode.acc_seg: 88.5002, decode.kl_loss: 0.0622, loss: 0.1049 +2023-03-06 00:26:07,055 - mmseg - INFO - Iter [17500/160000] lr: 1.500e-04, eta: 9:57:45, time: 0.199, data_time: 0.007, memory: 52540, decode.loss_ce: 0.0404, decode.acc_seg: 89.2211, decode.kl_loss: 0.0541, loss: 0.0945 +2023-03-06 00:26:17,094 - mmseg - INFO - Iter [17550/160000] lr: 1.500e-04, eta: 9:57:12, time: 0.201, data_time: 0.007, memory: 52540, decode.loss_ce: 0.0390, decode.acc_seg: 89.7523, decode.kl_loss: 0.0506, loss: 0.0896 +2023-03-06 00:26:27,067 - mmseg - INFO - Iter [17600/160000] lr: 1.500e-04, eta: 9:56:38, time: 0.199, data_time: 0.007, memory: 52540, decode.loss_ce: 0.0385, decode.acc_seg: 89.7975, decode.kl_loss: 0.0496, loss: 0.0880 +2023-03-06 00:26:37,117 - mmseg - INFO - Iter [17650/160000] lr: 1.500e-04, eta: 9:56:06, time: 0.201, data_time: 0.007, memory: 52540, decode.loss_ce: 0.0372, decode.acc_seg: 90.0552, decode.kl_loss: 0.0499, loss: 0.0870 +2023-03-06 00:26:49,678 - mmseg - INFO - Iter [17700/160000] lr: 1.500e-04, eta: 9:55:53, time: 0.251, data_time: 0.054, memory: 52540, decode.loss_ce: 0.0400, decode.acc_seg: 89.4519, decode.kl_loss: 0.0545, loss: 0.0944 +2023-03-06 00:26:59,626 - mmseg - INFO - Iter [17750/160000] lr: 1.500e-04, eta: 9:55:19, time: 0.199, data_time: 0.007, memory: 52540, decode.loss_ce: 0.0391, decode.acc_seg: 89.6931, decode.kl_loss: 0.0491, loss: 0.0883 +2023-03-06 00:27:09,624 - mmseg - INFO - Iter [17800/160000] lr: 1.500e-04, eta: 9:54:46, time: 0.200, data_time: 0.007, memory: 52540, decode.loss_ce: 0.0381, decode.acc_seg: 90.0681, decode.kl_loss: 0.0480, loss: 0.0860 +2023-03-06 00:27:19,684 - mmseg - INFO - Iter [17850/160000] lr: 1.500e-04, eta: 9:54:14, time: 0.201, data_time: 0.007, memory: 52540, decode.loss_ce: 0.0389, decode.acc_seg: 89.4522, decode.kl_loss: 0.0518, loss: 0.0907 +2023-03-06 00:27:29,604 - mmseg - INFO - Iter [17900/160000] lr: 1.500e-04, eta: 9:53:41, time: 0.198, data_time: 0.007, memory: 52540, decode.loss_ce: 0.0412, decode.acc_seg: 89.0072, decode.kl_loss: 0.0562, loss: 0.0974 +2023-03-06 00:27:39,591 - mmseg - INFO - Iter [17950/160000] lr: 1.500e-04, eta: 9:53:08, time: 0.200, data_time: 0.007, memory: 52540, decode.loss_ce: 0.0398, decode.acc_seg: 89.4457, decode.kl_loss: 0.0533, loss: 0.0932 +2023-03-06 00:27:49,710 - mmseg - INFO - Exp name: ablation_segformer_mit_b2_segformer_head_unet_fc_small_multi_step_ade_pretrained_freeze_embed_160k_ade20k151_finetune_ema_ce.py +2023-03-06 00:27:49,710 - mmseg - INFO - Iter [18000/160000] lr: 1.500e-04, eta: 9:52:36, time: 0.202, data_time: 0.007, memory: 52540, decode.loss_ce: 0.0392, decode.acc_seg: 89.2893, decode.kl_loss: 0.0586, loss: 0.0978 +2023-03-06 00:27:59,600 - mmseg - INFO - Iter [18050/160000] lr: 1.500e-04, eta: 9:52:03, time: 0.198, data_time: 0.007, memory: 52540, decode.loss_ce: 0.0453, decode.acc_seg: 87.9882, decode.kl_loss: 0.0671, loss: 0.1125 +2023-03-06 00:28:09,688 - mmseg - INFO - Iter [18100/160000] lr: 1.500e-04, eta: 9:51:32, time: 0.202, data_time: 0.007, memory: 52540, decode.loss_ce: 0.0483, decode.acc_seg: 87.0725, decode.kl_loss: 0.0679, loss: 0.1162 +2023-03-06 00:28:19,661 - mmseg - INFO - Iter [18150/160000] lr: 1.500e-04, eta: 9:50:59, time: 0.199, data_time: 0.007, memory: 52540, decode.loss_ce: 0.0438, decode.acc_seg: 88.0561, decode.kl_loss: 0.0658, loss: 0.1096 +2023-03-06 00:28:29,680 - mmseg - INFO - Iter [18200/160000] lr: 1.500e-04, eta: 9:50:28, time: 0.200, data_time: 0.007, memory: 52540, decode.loss_ce: 0.0416, decode.acc_seg: 88.6794, decode.kl_loss: 0.0578, loss: 0.0994 +2023-03-06 00:28:39,668 - mmseg - INFO - Iter [18250/160000] lr: 1.500e-04, eta: 9:49:56, time: 0.200, data_time: 0.007, memory: 52540, decode.loss_ce: 0.0409, decode.acc_seg: 89.0435, decode.kl_loss: 0.0533, loss: 0.0942 +2023-03-06 00:28:52,419 - mmseg - INFO - Iter [18300/160000] lr: 1.500e-04, eta: 9:49:45, time: 0.255, data_time: 0.058, memory: 52540, decode.loss_ce: 0.0363, decode.acc_seg: 90.2703, decode.kl_loss: 0.0494, loss: 0.0857 +2023-03-06 00:29:02,738 - mmseg - INFO - Iter [18350/160000] lr: 1.500e-04, eta: 9:49:16, time: 0.207, data_time: 0.007, memory: 52540, decode.loss_ce: 0.0404, decode.acc_seg: 89.1852, decode.kl_loss: 0.0574, loss: 0.0979 +2023-03-06 00:29:12,651 - mmseg - INFO - Iter [18400/160000] lr: 1.500e-04, eta: 9:48:44, time: 0.198, data_time: 0.007, memory: 52540, decode.loss_ce: 0.0440, decode.acc_seg: 88.6195, decode.kl_loss: 0.0602, loss: 0.1042 +2023-03-06 00:29:22,958 - mmseg - INFO - Iter [18450/160000] lr: 1.500e-04, eta: 9:48:15, time: 0.206, data_time: 0.007, memory: 52540, decode.loss_ce: 0.0475, decode.acc_seg: 87.6416, decode.kl_loss: 0.0659, loss: 0.1135 +2023-03-06 00:29:32,938 - mmseg - INFO - Iter [18500/160000] lr: 1.500e-04, eta: 9:47:43, time: 0.200, data_time: 0.007, memory: 52540, decode.loss_ce: 0.0405, decode.acc_seg: 89.3530, decode.kl_loss: 0.0523, loss: 0.0928 +2023-03-06 00:29:42,843 - mmseg - INFO - Iter [18550/160000] lr: 1.500e-04, eta: 9:47:11, time: 0.198, data_time: 0.007, memory: 52540, decode.loss_ce: 0.0386, decode.acc_seg: 89.5690, decode.kl_loss: 0.0504, loss: 0.0890 +2023-03-06 00:29:52,947 - mmseg - INFO - Iter [18600/160000] lr: 1.500e-04, eta: 9:46:41, time: 0.202, data_time: 0.008, memory: 52540, decode.loss_ce: 0.0378, decode.acc_seg: 89.9841, decode.kl_loss: 0.0475, loss: 0.0853 +2023-03-06 00:30:03,194 - mmseg - INFO - Iter [18650/160000] lr: 1.500e-04, eta: 9:46:12, time: 0.205, data_time: 0.007, memory: 52540, decode.loss_ce: 0.0385, decode.acc_seg: 89.8626, decode.kl_loss: 0.0509, loss: 0.0894 +2023-03-06 00:30:13,530 - mmseg - INFO - Iter [18700/160000] lr: 1.500e-04, eta: 9:45:43, time: 0.207, data_time: 0.007, memory: 52540, decode.loss_ce: 0.0412, decode.acc_seg: 89.2321, decode.kl_loss: 0.0499, loss: 0.0911 +2023-03-06 00:30:23,606 - mmseg - INFO - Iter [18750/160000] lr: 1.500e-04, eta: 9:45:13, time: 0.201, data_time: 0.007, memory: 52540, decode.loss_ce: 0.0409, decode.acc_seg: 89.4529, decode.kl_loss: 0.0500, loss: 0.0908 +2023-03-06 00:30:34,094 - mmseg - INFO - Iter [18800/160000] lr: 1.500e-04, eta: 9:44:46, time: 0.210, data_time: 0.008, memory: 52540, decode.loss_ce: 0.0393, decode.acc_seg: 89.4507, decode.kl_loss: 0.0495, loss: 0.0888 +2023-03-06 00:30:44,582 - mmseg - INFO - Iter [18850/160000] lr: 1.500e-04, eta: 9:44:19, time: 0.210, data_time: 0.008, memory: 52540, decode.loss_ce: 0.0357, decode.acc_seg: 90.3376, decode.kl_loss: 0.0465, loss: 0.0822 +2023-03-06 00:30:54,907 - mmseg - INFO - Iter [18900/160000] lr: 1.500e-04, eta: 9:43:51, time: 0.206, data_time: 0.007, memory: 52540, decode.loss_ce: 0.0384, decode.acc_seg: 89.8540, decode.kl_loss: 0.0475, loss: 0.0859 +2023-03-06 00:31:07,466 - mmseg - INFO - Iter [18950/160000] lr: 1.500e-04, eta: 9:43:40, time: 0.251, data_time: 0.053, memory: 52540, decode.loss_ce: 0.0364, decode.acc_seg: 90.3328, decode.kl_loss: 0.0458, loss: 0.0822 +2023-03-06 00:31:17,637 - mmseg - INFO - Exp name: ablation_segformer_mit_b2_segformer_head_unet_fc_small_multi_step_ade_pretrained_freeze_embed_160k_ade20k151_finetune_ema_ce.py +2023-03-06 00:31:17,637 - mmseg - INFO - Iter [19000/160000] lr: 1.500e-04, eta: 9:43:11, time: 0.203, data_time: 0.007, memory: 52540, decode.loss_ce: 0.0377, decode.acc_seg: 89.9395, decode.kl_loss: 0.0528, loss: 0.0904 +2023-03-06 00:31:27,669 - mmseg - INFO - Iter [19050/160000] lr: 1.500e-04, eta: 9:42:41, time: 0.201, data_time: 0.007, memory: 52540, decode.loss_ce: 0.0446, decode.acc_seg: 88.1798, decode.kl_loss: 0.0644, loss: 0.1091 +2023-03-06 00:31:37,577 - mmseg - INFO - Iter [19100/160000] lr: 1.500e-04, eta: 9:42:10, time: 0.198, data_time: 0.007, memory: 52540, decode.loss_ce: 0.0459, decode.acc_seg: 87.5821, decode.kl_loss: 0.0666, loss: 0.1125 +2023-03-06 00:31:47,530 - mmseg - INFO - Iter [19150/160000] lr: 1.500e-04, eta: 9:41:40, time: 0.199, data_time: 0.007, memory: 52540, decode.loss_ce: 0.0380, decode.acc_seg: 90.0136, decode.kl_loss: 0.0502, loss: 0.0881 +2023-03-06 00:31:57,737 - mmseg - INFO - Iter [19200/160000] lr: 1.500e-04, eta: 9:41:11, time: 0.204, data_time: 0.007, memory: 52540, decode.loss_ce: 0.0417, decode.acc_seg: 88.9065, decode.kl_loss: 0.0576, loss: 0.0993 +2023-03-06 00:32:07,721 - mmseg - INFO - Iter [19250/160000] lr: 1.500e-04, eta: 9:40:41, time: 0.200, data_time: 0.007, memory: 52540, decode.loss_ce: 0.0450, decode.acc_seg: 88.2918, decode.kl_loss: 0.0610, loss: 0.1060 +2023-03-06 00:32:17,894 - mmseg - INFO - Iter [19300/160000] lr: 1.500e-04, eta: 9:40:13, time: 0.203, data_time: 0.007, memory: 52540, decode.loss_ce: 0.0408, decode.acc_seg: 89.3855, decode.kl_loss: 0.0532, loss: 0.0940 +2023-03-06 00:32:28,161 - mmseg - INFO - Iter [19350/160000] lr: 1.500e-04, eta: 9:39:45, time: 0.205, data_time: 0.007, memory: 52540, decode.loss_ce: 0.0380, decode.acc_seg: 90.1295, decode.kl_loss: 0.0506, loss: 0.0886 +2023-03-06 00:32:38,144 - mmseg - INFO - Iter [19400/160000] lr: 1.500e-04, eta: 9:39:16, time: 0.200, data_time: 0.007, memory: 52540, decode.loss_ce: 0.0391, decode.acc_seg: 89.4779, decode.kl_loss: 0.0549, loss: 0.0940 +2023-03-06 00:32:48,308 - mmseg - INFO - Iter [19450/160000] lr: 1.500e-04, eta: 9:38:47, time: 0.203, data_time: 0.007, memory: 52540, decode.loss_ce: 0.0381, decode.acc_seg: 89.9584, decode.kl_loss: 0.0527, loss: 0.0908 +2023-03-06 00:32:58,196 - mmseg - INFO - Iter [19500/160000] lr: 1.500e-04, eta: 9:38:17, time: 0.198, data_time: 0.007, memory: 52540, decode.loss_ce: 0.0387, decode.acc_seg: 89.8530, decode.kl_loss: 0.0492, loss: 0.0879 +2023-03-06 00:33:08,163 - mmseg - INFO - Iter [19550/160000] lr: 1.500e-04, eta: 9:37:48, time: 0.199, data_time: 0.007, memory: 52540, decode.loss_ce: 0.0402, decode.acc_seg: 89.3048, decode.kl_loss: 0.0542, loss: 0.0943 +2023-03-06 00:33:21,101 - mmseg - INFO - Iter [19600/160000] lr: 1.500e-04, eta: 9:37:40, time: 0.259, data_time: 0.054, memory: 52540, decode.loss_ce: 0.0392, decode.acc_seg: 89.6718, decode.kl_loss: 0.0497, loss: 0.0888 +2023-03-06 00:33:31,034 - mmseg - INFO - Iter [19650/160000] lr: 1.500e-04, eta: 9:37:10, time: 0.199, data_time: 0.007, memory: 52540, decode.loss_ce: 0.0382, decode.acc_seg: 89.9510, decode.kl_loss: 0.0479, loss: 0.0861 +2023-03-06 00:33:41,214 - mmseg - INFO - Iter [19700/160000] lr: 1.500e-04, eta: 9:36:42, time: 0.204, data_time: 0.007, memory: 52540, decode.loss_ce: 0.0384, decode.acc_seg: 89.6146, decode.kl_loss: 0.0504, loss: 0.0888 +2023-03-06 00:33:51,552 - mmseg - INFO - Iter [19750/160000] lr: 1.500e-04, eta: 9:36:16, time: 0.207, data_time: 0.007, memory: 52540, decode.loss_ce: 0.0353, decode.acc_seg: 90.4532, decode.kl_loss: 0.0477, loss: 0.0830 +2023-03-06 00:34:01,936 - mmseg - INFO - Iter [19800/160000] lr: 1.500e-04, eta: 9:35:50, time: 0.208, data_time: 0.007, memory: 52540, decode.loss_ce: 0.0389, decode.acc_seg: 89.5510, decode.kl_loss: 0.0550, loss: 0.0940 +2023-03-06 00:34:12,257 - mmseg - INFO - Iter [19850/160000] lr: 1.500e-04, eta: 9:35:23, time: 0.206, data_time: 0.007, memory: 52540, decode.loss_ce: 0.0405, decode.acc_seg: 89.2690, decode.kl_loss: 0.0548, loss: 0.0953 +2023-03-06 00:34:22,354 - mmseg - INFO - Iter [19900/160000] lr: 1.500e-04, eta: 9:34:55, time: 0.202, data_time: 0.007, memory: 52540, decode.loss_ce: 0.0400, decode.acc_seg: 89.5434, decode.kl_loss: 0.0503, loss: 0.0902 +2023-03-06 00:34:32,674 - mmseg - INFO - Iter [19950/160000] lr: 1.500e-04, eta: 9:34:29, time: 0.206, data_time: 0.008, memory: 52540, decode.loss_ce: 0.0402, decode.acc_seg: 89.3071, decode.kl_loss: 0.0529, loss: 0.0932 +2023-03-06 00:34:42,576 - mmseg - INFO - Exp name: ablation_segformer_mit_b2_segformer_head_unet_fc_small_multi_step_ade_pretrained_freeze_embed_160k_ade20k151_finetune_ema_ce.py +2023-03-06 00:34:42,576 - mmseg - INFO - Iter [20000/160000] lr: 1.500e-04, eta: 9:34:00, time: 0.198, data_time: 0.007, memory: 52540, decode.loss_ce: 0.0450, decode.acc_seg: 88.1499, decode.kl_loss: 0.0594, loss: 0.1044 +2023-03-06 00:34:52,539 - mmseg - INFO - Iter [20050/160000] lr: 7.500e-05, eta: 9:33:31, time: 0.199, data_time: 0.008, memory: 52540, decode.loss_ce: 0.0384, decode.acc_seg: 90.0035, decode.kl_loss: 0.0502, loss: 0.0886 +2023-03-06 00:35:02,644 - mmseg - INFO - Iter [20100/160000] lr: 7.500e-05, eta: 9:33:04, time: 0.202, data_time: 0.007, memory: 52540, decode.loss_ce: 0.0370, decode.acc_seg: 90.0378, decode.kl_loss: 0.0488, loss: 0.0858 +2023-03-06 00:35:12,574 - mmseg - INFO - Iter [20150/160000] lr: 7.500e-05, eta: 9:32:35, time: 0.199, data_time: 0.007, memory: 52540, decode.loss_ce: 0.0358, decode.acc_seg: 90.4197, decode.kl_loss: 0.0468, loss: 0.0826 +2023-03-06 00:35:25,155 - mmseg - INFO - Iter [20200/160000] lr: 7.500e-05, eta: 9:32:25, time: 0.252, data_time: 0.053, memory: 52540, decode.loss_ce: 0.0359, decode.acc_seg: 90.3486, decode.kl_loss: 0.0475, loss: 0.0834 +2023-03-06 00:35:35,103 - mmseg - INFO - Iter [20250/160000] lr: 7.500e-05, eta: 9:31:57, time: 0.199, data_time: 0.007, memory: 52540, decode.loss_ce: 0.0366, decode.acc_seg: 90.3455, decode.kl_loss: 0.0472, loss: 0.0839 +2023-03-06 00:35:45,146 - mmseg - INFO - Iter [20300/160000] lr: 7.500e-05, eta: 9:31:29, time: 0.201, data_time: 0.007, memory: 52540, decode.loss_ce: 0.0365, decode.acc_seg: 89.9561, decode.kl_loss: 0.0477, loss: 0.0843 +2023-03-06 00:35:55,161 - mmseg - INFO - Iter [20350/160000] lr: 7.500e-05, eta: 9:31:01, time: 0.200, data_time: 0.007, memory: 52540, decode.loss_ce: 0.0356, decode.acc_seg: 90.2788, decode.kl_loss: 0.0470, loss: 0.0827 +2023-03-06 00:36:05,310 - mmseg - INFO - Iter [20400/160000] lr: 7.500e-05, eta: 9:30:34, time: 0.203, data_time: 0.008, memory: 52540, decode.loss_ce: 0.0363, decode.acc_seg: 90.1118, decode.kl_loss: 0.0489, loss: 0.0852 +2023-03-06 00:36:15,285 - mmseg - INFO - Iter [20450/160000] lr: 7.500e-05, eta: 9:30:07, time: 0.200, data_time: 0.007, memory: 52540, decode.loss_ce: 0.0351, decode.acc_seg: 90.4821, decode.kl_loss: 0.0477, loss: 0.0828 +2023-03-06 00:36:25,179 - mmseg - INFO - Iter [20500/160000] lr: 7.500e-05, eta: 9:29:38, time: 0.198, data_time: 0.007, memory: 52540, decode.loss_ce: 0.0363, decode.acc_seg: 90.1165, decode.kl_loss: 0.0479, loss: 0.0842 +2023-03-06 00:36:35,516 - mmseg - INFO - Iter [20550/160000] lr: 7.500e-05, eta: 9:29:13, time: 0.207, data_time: 0.008, memory: 52540, decode.loss_ce: 0.0356, decode.acc_seg: 90.3272, decode.kl_loss: 0.0468, loss: 0.0824 +2023-03-06 00:36:45,415 - mmseg - INFO - Iter [20600/160000] lr: 7.500e-05, eta: 9:28:45, time: 0.198, data_time: 0.007, memory: 52540, decode.loss_ce: 0.0356, decode.acc_seg: 90.2524, decode.kl_loss: 0.0484, loss: 0.0840 +2023-03-06 00:36:55,349 - mmseg - INFO - Iter [20650/160000] lr: 7.500e-05, eta: 9:28:17, time: 0.199, data_time: 0.007, memory: 52540, decode.loss_ce: 0.0358, decode.acc_seg: 90.3529, decode.kl_loss: 0.0473, loss: 0.0831 +2023-03-06 00:37:05,320 - mmseg - INFO - Iter [20700/160000] lr: 7.500e-05, eta: 9:27:50, time: 0.199, data_time: 0.008, memory: 52540, decode.loss_ce: 0.0365, decode.acc_seg: 90.1841, decode.kl_loss: 0.0446, loss: 0.0812 +2023-03-06 00:37:15,326 - mmseg - INFO - Iter [20750/160000] lr: 7.500e-05, eta: 9:27:22, time: 0.200, data_time: 0.007, memory: 52540, decode.loss_ce: 0.0350, decode.acc_seg: 90.5084, decode.kl_loss: 0.0459, loss: 0.0809 +2023-03-06 00:37:25,225 - mmseg - INFO - Iter [20800/160000] lr: 7.500e-05, eta: 9:26:55, time: 0.198, data_time: 0.007, memory: 52540, decode.loss_ce: 0.0356, decode.acc_seg: 90.1957, decode.kl_loss: 0.0478, loss: 0.0834 +2023-03-06 00:37:37,726 - mmseg - INFO - Iter [20850/160000] lr: 7.500e-05, eta: 9:26:44, time: 0.250, data_time: 0.056, memory: 52540, decode.loss_ce: 0.0349, decode.acc_seg: 90.4148, decode.kl_loss: 0.0537, loss: 0.0886 +2023-03-06 00:37:47,697 - mmseg - INFO - Iter [20900/160000] lr: 7.500e-05, eta: 9:26:17, time: 0.199, data_time: 0.007, memory: 52540, decode.loss_ce: 0.0360, decode.acc_seg: 90.2607, decode.kl_loss: 0.0489, loss: 0.0849 +2023-03-06 00:37:57,726 - mmseg - INFO - Iter [20950/160000] lr: 7.500e-05, eta: 9:25:50, time: 0.201, data_time: 0.007, memory: 52540, decode.loss_ce: 0.0365, decode.acc_seg: 90.0666, decode.kl_loss: 0.0500, loss: 0.0865 +2023-03-06 00:38:07,833 - mmseg - INFO - Exp name: ablation_segformer_mit_b2_segformer_head_unet_fc_small_multi_step_ade_pretrained_freeze_embed_160k_ade20k151_finetune_ema_ce.py +2023-03-06 00:38:07,833 - mmseg - INFO - Iter [21000/160000] lr: 7.500e-05, eta: 9:25:24, time: 0.202, data_time: 0.007, memory: 52540, decode.loss_ce: 0.0382, decode.acc_seg: 89.6244, decode.kl_loss: 0.0519, loss: 0.0901 +2023-03-06 00:38:18,020 - mmseg - INFO - Iter [21050/160000] lr: 7.500e-05, eta: 9:24:59, time: 0.204, data_time: 0.007, memory: 52540, decode.loss_ce: 0.0355, decode.acc_seg: 90.3220, decode.kl_loss: 0.0508, loss: 0.0863 +2023-03-06 00:38:28,240 - mmseg - INFO - Iter [21100/160000] lr: 7.500e-05, eta: 9:24:34, time: 0.204, data_time: 0.007, memory: 52540, decode.loss_ce: 0.0362, decode.acc_seg: 90.2264, decode.kl_loss: 0.0491, loss: 0.0852 +2023-03-06 00:38:38,143 - mmseg - INFO - Iter [21150/160000] lr: 7.500e-05, eta: 9:24:06, time: 0.198, data_time: 0.007, memory: 52540, decode.loss_ce: 0.0368, decode.acc_seg: 89.8979, decode.kl_loss: 0.0542, loss: 0.0910 +2023-03-06 00:38:48,160 - mmseg - INFO - Iter [21200/160000] lr: 7.500e-05, eta: 9:23:40, time: 0.200, data_time: 0.007, memory: 52540, decode.loss_ce: 0.0360, decode.acc_seg: 90.1654, decode.kl_loss: 0.0489, loss: 0.0850 +2023-03-06 00:38:58,367 - mmseg - INFO - Iter [21250/160000] lr: 7.500e-05, eta: 9:23:15, time: 0.204, data_time: 0.007, memory: 52540, decode.loss_ce: 0.0353, decode.acc_seg: 90.4068, decode.kl_loss: 0.0470, loss: 0.0823 +2023-03-06 00:39:08,319 - mmseg - INFO - Iter [21300/160000] lr: 7.500e-05, eta: 9:22:48, time: 0.199, data_time: 0.007, memory: 52540, decode.loss_ce: 0.0343, decode.acc_seg: 90.4128, decode.kl_loss: 0.0474, loss: 0.0816 +2023-03-06 00:39:18,232 - mmseg - INFO - Iter [21350/160000] lr: 7.500e-05, eta: 9:22:21, time: 0.198, data_time: 0.007, memory: 52540, decode.loss_ce: 0.0361, decode.acc_seg: 90.2396, decode.kl_loss: 0.0463, loss: 0.0824 +2023-03-06 00:39:28,662 - mmseg - INFO - Iter [21400/160000] lr: 7.500e-05, eta: 9:21:58, time: 0.209, data_time: 0.007, memory: 52540, decode.loss_ce: 0.0343, decode.acc_seg: 90.4747, decode.kl_loss: 0.0467, loss: 0.0810 +2023-03-06 00:39:39,060 - mmseg - INFO - Iter [21450/160000] lr: 7.500e-05, eta: 9:21:34, time: 0.208, data_time: 0.007, memory: 52540, decode.loss_ce: 0.0356, decode.acc_seg: 90.2463, decode.kl_loss: 0.0469, loss: 0.0825 +2023-03-06 00:39:52,005 - mmseg - INFO - Iter [21500/160000] lr: 7.500e-05, eta: 9:21:27, time: 0.259, data_time: 0.056, memory: 52540, decode.loss_ce: 0.0358, decode.acc_seg: 90.2307, decode.kl_loss: 0.0466, loss: 0.0824 +2023-03-06 00:40:01,967 - mmseg - INFO - Iter [21550/160000] lr: 7.500e-05, eta: 9:21:01, time: 0.199, data_time: 0.007, memory: 52540, decode.loss_ce: 0.0356, decode.acc_seg: 90.1631, decode.kl_loss: 0.0479, loss: 0.0835 +2023-03-06 00:40:12,024 - mmseg - INFO - Iter [21600/160000] lr: 7.500e-05, eta: 9:20:35, time: 0.201, data_time: 0.007, memory: 52540, decode.loss_ce: 0.0351, decode.acc_seg: 90.3363, decode.kl_loss: 0.0487, loss: 0.0838 +2023-03-06 00:40:22,114 - mmseg - INFO - Iter [21650/160000] lr: 7.500e-05, eta: 9:20:10, time: 0.202, data_time: 0.007, memory: 52540, decode.loss_ce: 0.0367, decode.acc_seg: 89.8842, decode.kl_loss: 0.0477, loss: 0.0843 +2023-03-06 00:40:32,161 - mmseg - INFO - Iter [21700/160000] lr: 7.500e-05, eta: 9:19:44, time: 0.201, data_time: 0.007, memory: 52540, decode.loss_ce: 0.0347, decode.acc_seg: 90.2406, decode.kl_loss: 0.0470, loss: 0.0817 +2023-03-06 00:40:42,566 - mmseg - INFO - Iter [21750/160000] lr: 7.500e-05, eta: 9:19:21, time: 0.208, data_time: 0.008, memory: 52540, decode.loss_ce: 0.0356, decode.acc_seg: 90.2102, decode.kl_loss: 0.0477, loss: 0.0833 +2023-03-06 00:40:52,864 - mmseg - INFO - Iter [21800/160000] lr: 7.500e-05, eta: 9:18:57, time: 0.206, data_time: 0.007, memory: 52540, decode.loss_ce: 0.0362, decode.acc_seg: 90.2293, decode.kl_loss: 0.0486, loss: 0.0848 +2023-03-06 00:41:03,115 - mmseg - INFO - Iter [21850/160000] lr: 7.500e-05, eta: 9:18:33, time: 0.205, data_time: 0.007, memory: 52540, decode.loss_ce: 0.0367, decode.acc_seg: 89.8990, decode.kl_loss: 0.0490, loss: 0.0856 +2023-03-06 00:41:13,219 - mmseg - INFO - Iter [21900/160000] lr: 7.500e-05, eta: 9:18:08, time: 0.202, data_time: 0.007, memory: 52540, decode.loss_ce: 0.0354, decode.acc_seg: 90.3698, decode.kl_loss: 0.0487, loss: 0.0840 +2023-03-06 00:41:23,157 - mmseg - INFO - Iter [21950/160000] lr: 7.500e-05, eta: 9:17:43, time: 0.199, data_time: 0.007, memory: 52540, decode.loss_ce: 0.0358, decode.acc_seg: 90.1696, decode.kl_loss: 0.0482, loss: 0.0839 +2023-03-06 00:41:33,054 - mmseg - INFO - Exp name: ablation_segformer_mit_b2_segformer_head_unet_fc_small_multi_step_ade_pretrained_freeze_embed_160k_ade20k151_finetune_ema_ce.py +2023-03-06 00:41:33,054 - mmseg - INFO - Iter [22000/160000] lr: 7.500e-05, eta: 9:17:17, time: 0.198, data_time: 0.007, memory: 52540, decode.loss_ce: 0.0357, decode.acc_seg: 90.1106, decode.kl_loss: 0.0492, loss: 0.0850 +2023-03-06 00:41:43,017 - mmseg - INFO - Iter [22050/160000] lr: 7.500e-05, eta: 9:16:51, time: 0.199, data_time: 0.007, memory: 52540, decode.loss_ce: 0.0357, decode.acc_seg: 90.1181, decode.kl_loss: 0.0515, loss: 0.0871 +2023-03-06 00:41:55,566 - mmseg - INFO - Iter [22100/160000] lr: 7.500e-05, eta: 9:16:42, time: 0.251, data_time: 0.053, memory: 52540, decode.loss_ce: 0.0361, decode.acc_seg: 89.8952, decode.kl_loss: 0.0513, loss: 0.0874 +2023-03-06 00:42:05,489 - mmseg - INFO - Iter [22150/160000] lr: 7.500e-05, eta: 9:16:16, time: 0.198, data_time: 0.007, memory: 52540, decode.loss_ce: 0.0369, decode.acc_seg: 89.8537, decode.kl_loss: 0.0493, loss: 0.0862 +2023-03-06 00:42:15,383 - mmseg - INFO - Iter [22200/160000] lr: 7.500e-05, eta: 9:15:50, time: 0.198, data_time: 0.007, memory: 52540, decode.loss_ce: 0.0357, decode.acc_seg: 89.9573, decode.kl_loss: 0.0505, loss: 0.0862 +2023-03-06 00:42:25,371 - mmseg - INFO - Iter [22250/160000] lr: 7.500e-05, eta: 9:15:25, time: 0.199, data_time: 0.007, memory: 52540, decode.loss_ce: 0.0373, decode.acc_seg: 89.7418, decode.kl_loss: 0.0518, loss: 0.0891 +2023-03-06 00:42:35,253 - mmseg - INFO - Iter [22300/160000] lr: 7.500e-05, eta: 9:14:59, time: 0.198, data_time: 0.007, memory: 52540, decode.loss_ce: 0.0371, decode.acc_seg: 89.6875, decode.kl_loss: 0.0562, loss: 0.0933 +2023-03-06 00:42:45,340 - mmseg - INFO - Iter [22350/160000] lr: 7.500e-05, eta: 9:14:35, time: 0.202, data_time: 0.007, memory: 52540, decode.loss_ce: 0.0373, decode.acc_seg: 89.7861, decode.kl_loss: 0.0584, loss: 0.0957 +2023-03-06 00:42:55,690 - mmseg - INFO - Iter [22400/160000] lr: 7.500e-05, eta: 9:14:12, time: 0.207, data_time: 0.007, memory: 52540, decode.loss_ce: 0.0438, decode.acc_seg: 88.0014, decode.kl_loss: 0.0731, loss: 0.1169 +2023-03-06 00:43:05,639 - mmseg - INFO - Iter [22450/160000] lr: 7.500e-05, eta: 9:13:47, time: 0.199, data_time: 0.007, memory: 52540, decode.loss_ce: 0.0535, decode.acc_seg: 85.3805, decode.kl_loss: 0.0840, loss: 0.1375 +2023-03-06 00:43:15,665 - mmseg - INFO - Iter [22500/160000] lr: 7.500e-05, eta: 9:13:22, time: 0.200, data_time: 0.007, memory: 52540, decode.loss_ce: 0.0584, decode.acc_seg: 85.0066, decode.kl_loss: 0.0799, loss: 0.1383 +2023-03-06 00:43:25,709 - mmseg - INFO - Iter [22550/160000] lr: 7.500e-05, eta: 9:12:58, time: 0.201, data_time: 0.008, memory: 52540, decode.loss_ce: 0.0402, decode.acc_seg: 89.1770, decode.kl_loss: 0.0595, loss: 0.0997 +2023-03-06 00:43:35,666 - mmseg - INFO - Iter [22600/160000] lr: 7.500e-05, eta: 9:12:33, time: 0.199, data_time: 0.007, memory: 52540, decode.loss_ce: 0.0367, decode.acc_seg: 90.0091, decode.kl_loss: 0.0537, loss: 0.0904 +2023-03-06 00:43:45,557 - mmseg - INFO - Iter [22650/160000] lr: 7.500e-05, eta: 9:12:07, time: 0.198, data_time: 0.007, memory: 52540, decode.loss_ce: 0.0416, decode.acc_seg: 88.7280, decode.kl_loss: 0.0641, loss: 0.1057 +2023-03-06 00:43:55,462 - mmseg - INFO - Iter [22700/160000] lr: 7.500e-05, eta: 9:11:42, time: 0.198, data_time: 0.007, memory: 52540, decode.loss_ce: 0.0443, decode.acc_seg: 87.8526, decode.kl_loss: 0.0701, loss: 0.1144 +2023-03-06 00:44:08,121 - mmseg - INFO - Iter [22750/160000] lr: 7.500e-05, eta: 9:11:34, time: 0.253, data_time: 0.055, memory: 52540, decode.loss_ce: 0.0457, decode.acc_seg: 87.5529, decode.kl_loss: 0.0676, loss: 0.1133 +2023-03-06 00:44:18,034 - mmseg - INFO - Iter [22800/160000] lr: 7.500e-05, eta: 9:11:09, time: 0.198, data_time: 0.007, memory: 52540, decode.loss_ce: 0.0398, decode.acc_seg: 88.9481, decode.kl_loss: 0.0597, loss: 0.0995 +2023-03-06 00:44:28,431 - mmseg - INFO - Iter [22850/160000] lr: 7.500e-05, eta: 9:10:47, time: 0.208, data_time: 0.007, memory: 52540, decode.loss_ce: 0.0396, decode.acc_seg: 89.1064, decode.kl_loss: 0.0581, loss: 0.0977 +2023-03-06 00:44:38,711 - mmseg - INFO - Iter [22900/160000] lr: 7.500e-05, eta: 9:10:24, time: 0.206, data_time: 0.007, memory: 52540, decode.loss_ce: 0.0388, decode.acc_seg: 89.3516, decode.kl_loss: 0.0582, loss: 0.0970 +2023-03-06 00:44:48,811 - mmseg - INFO - Iter [22950/160000] lr: 7.500e-05, eta: 9:10:01, time: 0.202, data_time: 0.007, memory: 52540, decode.loss_ce: 0.0376, decode.acc_seg: 89.5637, decode.kl_loss: 0.0577, loss: 0.0953 +2023-03-06 00:44:58,923 - mmseg - INFO - Exp name: ablation_segformer_mit_b2_segformer_head_unet_fc_small_multi_step_ade_pretrained_freeze_embed_160k_ade20k151_finetune_ema_ce.py +2023-03-06 00:44:58,924 - mmseg - INFO - Iter [23000/160000] lr: 7.500e-05, eta: 9:09:37, time: 0.202, data_time: 0.008, memory: 52540, decode.loss_ce: 0.0378, decode.acc_seg: 89.5656, decode.kl_loss: 0.0548, loss: 0.0926 +2023-03-06 00:45:09,069 - mmseg - INFO - Iter [23050/160000] lr: 7.500e-05, eta: 9:09:14, time: 0.203, data_time: 0.007, memory: 52540, decode.loss_ce: 0.0374, decode.acc_seg: 89.5640, decode.kl_loss: 0.0583, loss: 0.0958 +2023-03-06 00:45:19,300 - mmseg - INFO - Iter [23100/160000] lr: 7.500e-05, eta: 9:08:51, time: 0.205, data_time: 0.007, memory: 52540, decode.loss_ce: 0.0374, decode.acc_seg: 89.8054, decode.kl_loss: 0.0570, loss: 0.0945 +2023-03-06 00:45:29,174 - mmseg - INFO - Iter [23150/160000] lr: 7.500e-05, eta: 9:08:26, time: 0.197, data_time: 0.007, memory: 52540, decode.loss_ce: 0.0405, decode.acc_seg: 88.9652, decode.kl_loss: 0.0601, loss: 0.1006 +2023-03-06 00:45:39,211 - mmseg - INFO - Iter [23200/160000] lr: 7.500e-05, eta: 9:08:03, time: 0.201, data_time: 0.007, memory: 52540, decode.loss_ce: 0.0426, decode.acc_seg: 88.5309, decode.kl_loss: 0.0612, loss: 0.1038 +2023-03-06 00:45:49,321 - mmseg - INFO - Iter [23250/160000] lr: 7.500e-05, eta: 9:07:40, time: 0.202, data_time: 0.007, memory: 52540, decode.loss_ce: 0.0445, decode.acc_seg: 88.1077, decode.kl_loss: 0.0672, loss: 0.1117 +2023-03-06 00:45:59,414 - mmseg - INFO - Iter [23300/160000] lr: 7.500e-05, eta: 9:07:16, time: 0.202, data_time: 0.007, memory: 52540, decode.loss_ce: 0.0375, decode.acc_seg: 89.7561, decode.kl_loss: 0.0560, loss: 0.0935 +2023-03-06 00:46:11,984 - mmseg - INFO - Iter [23350/160000] lr: 7.500e-05, eta: 9:07:07, time: 0.251, data_time: 0.055, memory: 52540, decode.loss_ce: 0.0364, decode.acc_seg: 90.1898, decode.kl_loss: 0.0490, loss: 0.0854 +2023-03-06 00:46:21,892 - mmseg - INFO - Iter [23400/160000] lr: 7.500e-05, eta: 9:06:43, time: 0.198, data_time: 0.007, memory: 52540, decode.loss_ce: 0.0345, decode.acc_seg: 90.3100, decode.kl_loss: 0.0497, loss: 0.0842 +2023-03-06 00:46:31,999 - mmseg - INFO - Iter [23450/160000] lr: 7.500e-05, eta: 9:06:20, time: 0.202, data_time: 0.008, memory: 52540, decode.loss_ce: 0.0365, decode.acc_seg: 90.0137, decode.kl_loss: 0.0506, loss: 0.0871 +2023-03-06 00:46:42,137 - mmseg - INFO - Iter [23500/160000] lr: 7.500e-05, eta: 9:05:57, time: 0.203, data_time: 0.007, memory: 52540, decode.loss_ce: 0.0362, decode.acc_seg: 90.0819, decode.kl_loss: 0.0551, loss: 0.0913 +2023-03-06 00:46:52,258 - mmseg - INFO - Iter [23550/160000] lr: 7.500e-05, eta: 9:05:34, time: 0.202, data_time: 0.007, memory: 52540, decode.loss_ce: 0.0391, decode.acc_seg: 89.3980, decode.kl_loss: 0.0601, loss: 0.0992 +2023-03-06 00:47:02,392 - mmseg - INFO - Iter [23600/160000] lr: 7.500e-05, eta: 9:05:12, time: 0.203, data_time: 0.007, memory: 52540, decode.loss_ce: 0.0369, decode.acc_seg: 89.8027, decode.kl_loss: 0.0557, loss: 0.0926 +2023-03-06 00:47:12,276 - mmseg - INFO - Iter [23650/160000] lr: 7.500e-05, eta: 9:04:47, time: 0.198, data_time: 0.007, memory: 52540, decode.loss_ce: 0.0375, decode.acc_seg: 89.6659, decode.kl_loss: 0.0547, loss: 0.0922 +2023-03-06 00:47:22,590 - mmseg - INFO - Iter [23700/160000] lr: 7.500e-05, eta: 9:04:26, time: 0.206, data_time: 0.007, memory: 52540, decode.loss_ce: 0.0369, decode.acc_seg: 89.9412, decode.kl_loss: 0.0551, loss: 0.0920 +2023-03-06 00:47:32,810 - mmseg - INFO - Iter [23750/160000] lr: 7.500e-05, eta: 9:04:04, time: 0.204, data_time: 0.007, memory: 52540, decode.loss_ce: 0.0362, decode.acc_seg: 89.9623, decode.kl_loss: 0.0532, loss: 0.0895 +2023-03-06 00:47:42,774 - mmseg - INFO - Iter [23800/160000] lr: 7.500e-05, eta: 9:03:40, time: 0.199, data_time: 0.007, memory: 52540, decode.loss_ce: 0.0384, decode.acc_seg: 89.4249, decode.kl_loss: 0.0566, loss: 0.0950 +2023-03-06 00:47:52,667 - mmseg - INFO - Iter [23850/160000] lr: 7.500e-05, eta: 9:03:16, time: 0.198, data_time: 0.007, memory: 52540, decode.loss_ce: 0.0386, decode.acc_seg: 89.2501, decode.kl_loss: 0.0582, loss: 0.0968 +2023-03-06 00:48:02,720 - mmseg - INFO - Iter [23900/160000] lr: 7.500e-05, eta: 9:02:54, time: 0.201, data_time: 0.007, memory: 52540, decode.loss_ce: 0.0365, decode.acc_seg: 89.9065, decode.kl_loss: 0.0550, loss: 0.0915 +2023-03-06 00:48:12,670 - mmseg - INFO - Iter [23950/160000] lr: 7.500e-05, eta: 9:02:30, time: 0.199, data_time: 0.007, memory: 52540, decode.loss_ce: 0.0417, decode.acc_seg: 88.5668, decode.kl_loss: 0.0696, loss: 0.1113 +2023-03-06 00:48:25,339 - mmseg - INFO - Exp name: ablation_segformer_mit_b2_segformer_head_unet_fc_small_multi_step_ade_pretrained_freeze_embed_160k_ade20k151_finetune_ema_ce.py +2023-03-06 00:48:25,339 - mmseg - INFO - Iter [24000/160000] lr: 7.500e-05, eta: 9:02:22, time: 0.253, data_time: 0.054, memory: 52540, decode.loss_ce: 0.0396, decode.acc_seg: 89.1722, decode.kl_loss: 0.0579, loss: 0.0975 +2023-03-06 00:48:35,753 - mmseg - INFO - Iter [24050/160000] lr: 7.500e-05, eta: 9:02:01, time: 0.208, data_time: 0.008, memory: 52540, decode.loss_ce: 0.0384, decode.acc_seg: 89.4445, decode.kl_loss: 0.0642, loss: 0.1026 +2023-03-06 00:48:45,870 - mmseg - INFO - Iter [24100/160000] lr: 7.500e-05, eta: 9:01:39, time: 0.202, data_time: 0.007, memory: 52540, decode.loss_ce: 0.0406, decode.acc_seg: 88.7510, decode.kl_loss: 0.0713, loss: 0.1119 +2023-03-06 00:48:56,064 - mmseg - INFO - Iter [24150/160000] lr: 7.500e-05, eta: 9:01:17, time: 0.204, data_time: 0.008, memory: 52540, decode.loss_ce: 0.0423, decode.acc_seg: 88.3841, decode.kl_loss: 0.0744, loss: 0.1167 +2023-03-06 00:49:06,130 - mmseg - INFO - Iter [24200/160000] lr: 7.500e-05, eta: 9:00:55, time: 0.201, data_time: 0.007, memory: 52540, decode.loss_ce: 0.0501, decode.acc_seg: 87.0701, decode.kl_loss: 0.0731, loss: 0.1232 +2023-03-06 00:49:16,150 - mmseg - INFO - Iter [24250/160000] lr: 7.500e-05, eta: 9:00:32, time: 0.200, data_time: 0.007, memory: 52540, decode.loss_ce: 0.0459, decode.acc_seg: 87.7250, decode.kl_loss: 0.0721, loss: 0.1180 +2023-03-06 00:49:26,110 - mmseg - INFO - Iter [24300/160000] lr: 7.500e-05, eta: 9:00:09, time: 0.199, data_time: 0.007, memory: 52540, decode.loss_ce: 0.0523, decode.acc_seg: 86.2401, decode.kl_loss: 0.0764, loss: 0.1286 +2023-03-06 00:49:36,230 - mmseg - INFO - Iter [24350/160000] lr: 7.500e-05, eta: 8:59:47, time: 0.202, data_time: 0.007, memory: 52540, decode.loss_ce: 0.0583, decode.acc_seg: 84.4276, decode.kl_loss: 0.0750, loss: 0.1334 +2023-03-06 00:49:46,322 - mmseg - INFO - Iter [24400/160000] lr: 7.500e-05, eta: 8:59:25, time: 0.202, data_time: 0.007, memory: 52540, decode.loss_ce: 0.0418, decode.acc_seg: 88.4768, decode.kl_loss: 0.0664, loss: 0.1082 +2023-03-06 00:49:56,325 - mmseg - INFO - Iter [24450/160000] lr: 7.500e-05, eta: 8:59:02, time: 0.200, data_time: 0.007, memory: 52540, decode.loss_ce: 0.0424, decode.acc_seg: 88.3415, decode.kl_loss: 0.0700, loss: 0.1124 +2023-03-06 00:50:06,609 - mmseg - INFO - Iter [24500/160000] lr: 7.500e-05, eta: 8:58:41, time: 0.206, data_time: 0.007, memory: 52540, decode.loss_ce: 0.0480, decode.acc_seg: 87.2729, decode.kl_loss: 0.0702, loss: 0.1182 +2023-03-06 00:50:16,796 - mmseg - INFO - Iter [24550/160000] lr: 7.500e-05, eta: 8:58:19, time: 0.204, data_time: 0.007, memory: 52540, decode.loss_ce: 0.0441, decode.acc_seg: 87.9419, decode.kl_loss: 0.0661, loss: 0.1103 +2023-03-06 00:50:26,750 - mmseg - INFO - Iter [24600/160000] lr: 7.500e-05, eta: 8:57:57, time: 0.199, data_time: 0.007, memory: 52540, decode.loss_ce: 0.0408, decode.acc_seg: 88.8936, decode.kl_loss: 0.0632, loss: 0.1040 +2023-03-06 00:50:39,331 - mmseg - INFO - Iter [24650/160000] lr: 7.500e-05, eta: 8:57:48, time: 0.252, data_time: 0.053, memory: 52540, decode.loss_ce: 0.0475, decode.acc_seg: 87.4885, decode.kl_loss: 0.0714, loss: 0.1189 +2023-03-06 00:50:49,543 - mmseg - INFO - Iter [24700/160000] lr: 7.500e-05, eta: 8:57:27, time: 0.204, data_time: 0.007, memory: 52540, decode.loss_ce: 0.0436, decode.acc_seg: 87.7641, decode.kl_loss: 0.0719, loss: 0.1155 +2023-03-06 00:50:59,546 - mmseg - INFO - Iter [24750/160000] lr: 7.500e-05, eta: 8:57:05, time: 0.200, data_time: 0.007, memory: 52540, decode.loss_ce: 0.0466, decode.acc_seg: 87.5392, decode.kl_loss: 0.0745, loss: 0.1211 +2023-03-06 00:51:09,564 - mmseg - INFO - Iter [24800/160000] lr: 7.500e-05, eta: 8:56:42, time: 0.200, data_time: 0.007, memory: 52540, decode.loss_ce: 0.0554, decode.acc_seg: 85.5845, decode.kl_loss: 0.0800, loss: 0.1354 +2023-03-06 00:51:19,646 - mmseg - INFO - Iter [24850/160000] lr: 7.500e-05, eta: 8:56:21, time: 0.202, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1009, decode.acc_seg: 73.5599, decode.kl_loss: 0.1070, loss: 0.2080 +2023-03-06 00:51:29,661 - mmseg - INFO - Iter [24900/160000] lr: 7.500e-05, eta: 8:55:58, time: 0.200, data_time: 0.007, memory: 52540, decode.loss_ce: 0.0671, decode.acc_seg: 81.5507, decode.kl_loss: 0.0937, loss: 0.1608 +2023-03-06 00:51:39,573 - mmseg - INFO - Iter [24950/160000] lr: 7.500e-05, eta: 8:55:36, time: 0.198, data_time: 0.007, memory: 52540, decode.loss_ce: 0.0580, decode.acc_seg: 84.5163, decode.kl_loss: 0.0804, loss: 0.1383 +2023-03-06 00:51:49,691 - mmseg - INFO - Exp name: ablation_segformer_mit_b2_segformer_head_unet_fc_small_multi_step_ade_pretrained_freeze_embed_160k_ade20k151_finetune_ema_ce.py +2023-03-06 00:51:49,691 - mmseg - INFO - Iter [25000/160000] lr: 7.500e-05, eta: 8:55:14, time: 0.202, data_time: 0.007, memory: 52540, decode.loss_ce: 0.0473, decode.acc_seg: 87.0369, decode.kl_loss: 0.0686, loss: 0.1160 +2023-03-06 00:51:59,739 - mmseg - INFO - Iter [25050/160000] lr: 7.500e-05, eta: 8:54:52, time: 0.201, data_time: 0.008, memory: 52540, decode.loss_ce: 0.0518, decode.acc_seg: 86.5368, decode.kl_loss: 0.0675, loss: 0.1193 +2023-03-06 00:52:09,833 - mmseg - INFO - Iter [25100/160000] lr: 7.500e-05, eta: 8:54:31, time: 0.202, data_time: 0.007, memory: 52540, decode.loss_ce: 0.0504, decode.acc_seg: 86.6935, decode.kl_loss: 0.0691, loss: 0.1195 +2023-03-06 00:52:19,979 - mmseg - INFO - Iter [25150/160000] lr: 7.500e-05, eta: 8:54:10, time: 0.203, data_time: 0.007, memory: 52540, decode.loss_ce: 0.0477, decode.acc_seg: 87.2514, decode.kl_loss: 0.0684, loss: 0.1161 +2023-03-06 00:52:30,007 - mmseg - INFO - Iter [25200/160000] lr: 7.500e-05, eta: 8:53:48, time: 0.201, data_time: 0.007, memory: 52540, decode.loss_ce: 0.0501, decode.acc_seg: 86.8093, decode.kl_loss: 0.0683, loss: 0.1184 +2023-03-06 00:52:42,793 - mmseg - INFO - Iter [25250/160000] lr: 7.500e-05, eta: 8:53:41, time: 0.256, data_time: 0.055, memory: 52540, decode.loss_ce: 0.0545, decode.acc_seg: 85.6052, decode.kl_loss: 0.0723, loss: 0.1268 +2023-03-06 00:52:52,917 - mmseg - INFO - Iter [25300/160000] lr: 7.500e-05, eta: 8:53:19, time: 0.202, data_time: 0.007, memory: 52540, decode.loss_ce: 0.0535, decode.acc_seg: 85.9531, decode.kl_loss: 0.0691, loss: 0.1226 +2023-03-06 00:53:02,847 - mmseg - INFO - Iter [25350/160000] lr: 7.500e-05, eta: 8:52:57, time: 0.199, data_time: 0.007, memory: 52540, decode.loss_ce: 0.0517, decode.acc_seg: 86.2019, decode.kl_loss: 0.0692, loss: 0.1209 +2023-03-06 00:53:12,910 - mmseg - INFO - Iter [25400/160000] lr: 7.500e-05, eta: 8:52:36, time: 0.201, data_time: 0.007, memory: 52540, decode.loss_ce: 0.0467, decode.acc_seg: 87.3321, decode.kl_loss: 0.0666, loss: 0.1133 +2023-03-06 00:53:22,888 - mmseg - INFO - Iter [25450/160000] lr: 7.500e-05, eta: 8:52:14, time: 0.200, data_time: 0.007, memory: 52540, decode.loss_ce: 0.0468, decode.acc_seg: 87.0986, decode.kl_loss: 0.0658, loss: 0.1126 +2023-03-06 00:53:32,895 - mmseg - INFO - Iter [25500/160000] lr: 7.500e-05, eta: 8:51:52, time: 0.200, data_time: 0.007, memory: 52540, decode.loss_ce: 0.0385, decode.acc_seg: 89.0141, decode.kl_loss: 0.0576, loss: 0.0961 +2023-03-06 00:53:42,827 - mmseg - INFO - Iter [25550/160000] lr: 7.500e-05, eta: 8:51:30, time: 0.199, data_time: 0.007, memory: 52540, decode.loss_ce: 0.0367, decode.acc_seg: 90.1187, decode.kl_loss: 0.0478, loss: 0.0845 +2023-03-06 00:53:53,147 - mmseg - INFO - Iter [25600/160000] lr: 7.500e-05, eta: 8:51:10, time: 0.206, data_time: 0.008, memory: 52540, decode.loss_ce: 0.0360, decode.acc_seg: 90.5645, decode.kl_loss: 0.0462, loss: 0.0822 +2023-03-06 00:54:03,418 - mmseg - INFO - Iter [25650/160000] lr: 7.500e-05, eta: 8:50:50, time: 0.205, data_time: 0.007, memory: 52540, decode.loss_ce: 0.0355, decode.acc_seg: 90.4553, decode.kl_loss: 0.0427, loss: 0.0782 +2023-03-06 00:54:13,696 - mmseg - INFO - Iter [25700/160000] lr: 7.500e-05, eta: 8:50:30, time: 0.206, data_time: 0.007, memory: 52540, decode.loss_ce: 0.0397, decode.acc_seg: 89.8122, decode.kl_loss: 0.0437, loss: 0.0834 +2023-03-06 00:54:23,577 - mmseg - INFO - Iter [25750/160000] lr: 7.500e-05, eta: 8:50:08, time: 0.198, data_time: 0.007, memory: 52540, decode.loss_ce: 0.0368, decode.acc_seg: 90.0687, decode.kl_loss: 0.0453, loss: 0.0821 +2023-03-06 00:54:33,633 - mmseg - INFO - Iter [25800/160000] lr: 7.500e-05, eta: 8:49:47, time: 0.201, data_time: 0.007, memory: 52540, decode.loss_ce: 0.0383, decode.acc_seg: 89.7891, decode.kl_loss: 0.0481, loss: 0.0863 +2023-03-06 00:54:43,893 - mmseg - INFO - Iter [25850/160000] lr: 7.500e-05, eta: 8:49:27, time: 0.205, data_time: 0.007, memory: 52540, decode.loss_ce: 0.0400, decode.acc_seg: 89.2950, decode.kl_loss: 0.0500, loss: 0.0901 +2023-03-06 00:54:56,844 - mmseg - INFO - Iter [25900/160000] lr: 7.500e-05, eta: 8:49:20, time: 0.259, data_time: 0.056, memory: 52540, decode.loss_ce: 0.0418, decode.acc_seg: 88.7604, decode.kl_loss: 0.0515, loss: 0.0933 +2023-03-06 00:55:06,803 - mmseg - INFO - Iter [25950/160000] lr: 7.500e-05, eta: 8:48:59, time: 0.199, data_time: 0.007, memory: 52540, decode.loss_ce: 0.0439, decode.acc_seg: 88.1533, decode.kl_loss: 0.0570, loss: 0.1009 +2023-03-06 00:55:17,105 - mmseg - INFO - Exp name: ablation_segformer_mit_b2_segformer_head_unet_fc_small_multi_step_ade_pretrained_freeze_embed_160k_ade20k151_finetune_ema_ce.py +2023-03-06 00:55:17,105 - mmseg - INFO - Iter [26000/160000] lr: 7.500e-05, eta: 8:48:39, time: 0.206, data_time: 0.008, memory: 52540, decode.loss_ce: 0.0479, decode.acc_seg: 86.9762, decode.kl_loss: 0.0645, loss: 0.1124 +2023-03-06 00:55:26,995 - mmseg - INFO - Iter [26050/160000] lr: 7.500e-05, eta: 8:48:17, time: 0.198, data_time: 0.007, memory: 52540, decode.loss_ce: 0.0432, decode.acc_seg: 88.5108, decode.kl_loss: 0.0540, loss: 0.0972 +2023-03-06 00:55:37,220 - mmseg - INFO - Iter [26100/160000] lr: 7.500e-05, eta: 8:47:57, time: 0.204, data_time: 0.007, memory: 52540, decode.loss_ce: 0.0469, decode.acc_seg: 87.3248, decode.kl_loss: 0.0611, loss: 0.1080 +2023-03-06 00:55:47,153 - mmseg - INFO - Iter [26150/160000] lr: 7.500e-05, eta: 8:47:36, time: 0.199, data_time: 0.007, memory: 52540, decode.loss_ce: 0.0449, decode.acc_seg: 87.6798, decode.kl_loss: 0.0590, loss: 0.1039 +2023-03-06 00:55:57,075 - mmseg - INFO - Iter [26200/160000] lr: 7.500e-05, eta: 8:47:14, time: 0.198, data_time: 0.007, memory: 52540, decode.loss_ce: 0.0494, decode.acc_seg: 86.8992, decode.kl_loss: 0.0588, loss: 0.1082 +2023-03-06 00:56:06,950 - mmseg - INFO - Iter [26250/160000] lr: 7.500e-05, eta: 8:46:52, time: 0.197, data_time: 0.007, memory: 52540, decode.loss_ce: 0.0409, decode.acc_seg: 88.7864, decode.kl_loss: 0.0550, loss: 0.0959 +2023-03-06 00:56:16,824 - mmseg - INFO - Iter [26300/160000] lr: 7.500e-05, eta: 8:46:31, time: 0.197, data_time: 0.007, memory: 52540, decode.loss_ce: 0.0443, decode.acc_seg: 87.9361, decode.kl_loss: 0.0590, loss: 0.1033 +2023-03-06 00:56:26,861 - mmseg - INFO - Iter [26350/160000] lr: 7.500e-05, eta: 8:46:10, time: 0.201, data_time: 0.007, memory: 52540, decode.loss_ce: 0.0397, decode.acc_seg: 89.3505, decode.kl_loss: 0.0551, loss: 0.0948 +2023-03-06 00:56:36,739 - mmseg - INFO - Iter [26400/160000] lr: 7.500e-05, eta: 8:45:48, time: 0.198, data_time: 0.007, memory: 52540, decode.loss_ce: 0.0427, decode.acc_seg: 88.6163, decode.kl_loss: 0.0583, loss: 0.1010 +2023-03-06 00:56:46,847 - mmseg - INFO - Iter [26450/160000] lr: 7.500e-05, eta: 8:45:28, time: 0.202, data_time: 0.007, memory: 52540, decode.loss_ce: 0.0470, decode.acc_seg: 87.4576, decode.kl_loss: 0.0633, loss: 0.1103 +2023-03-06 00:56:56,872 - mmseg - INFO - Iter [26500/160000] lr: 7.500e-05, eta: 8:45:07, time: 0.201, data_time: 0.007, memory: 52540, decode.loss_ce: 0.0415, decode.acc_seg: 88.6549, decode.kl_loss: 0.0614, loss: 0.1030 +2023-03-06 00:57:09,364 - mmseg - INFO - Iter [26550/160000] lr: 7.500e-05, eta: 8:44:59, time: 0.250, data_time: 0.057, memory: 52540, decode.loss_ce: 0.0456, decode.acc_seg: 88.0000, decode.kl_loss: 0.0644, loss: 0.1100 +2023-03-06 00:57:19,422 - mmseg - INFO - Iter [26600/160000] lr: 7.500e-05, eta: 8:44:38, time: 0.201, data_time: 0.007, memory: 52540, decode.loss_ce: 0.0427, decode.acc_seg: 88.4566, decode.kl_loss: 0.0583, loss: 0.1011 +2023-03-06 00:57:29,508 - mmseg - INFO - Iter [26650/160000] lr: 7.500e-05, eta: 8:44:18, time: 0.202, data_time: 0.007, memory: 52540, decode.loss_ce: 0.0430, decode.acc_seg: 88.4623, decode.kl_loss: 0.0594, loss: 0.1024 +2023-03-06 00:57:39,608 - mmseg - INFO - Iter [26700/160000] lr: 7.500e-05, eta: 8:43:58, time: 0.202, data_time: 0.007, memory: 52540, decode.loss_ce: 0.0446, decode.acc_seg: 88.2505, decode.kl_loss: 0.0644, loss: 0.1090 +2023-03-06 00:57:49,686 - mmseg - INFO - Iter [26750/160000] lr: 7.500e-05, eta: 8:43:37, time: 0.202, data_time: 0.007, memory: 52540, decode.loss_ce: 0.0417, decode.acc_seg: 88.7114, decode.kl_loss: 0.0569, loss: 0.0986 +2023-03-06 00:57:59,693 - mmseg - INFO - Iter [26800/160000] lr: 7.500e-05, eta: 8:43:17, time: 0.200, data_time: 0.007, memory: 52540, decode.loss_ce: 0.0417, decode.acc_seg: 88.5510, decode.kl_loss: 0.0615, loss: 0.1032 +2023-03-06 00:58:09,865 - mmseg - INFO - Iter [26850/160000] lr: 7.500e-05, eta: 8:42:57, time: 0.203, data_time: 0.007, memory: 52540, decode.loss_ce: 0.0411, decode.acc_seg: 88.9359, decode.kl_loss: 0.0574, loss: 0.0985 +2023-03-06 00:58:19,877 - mmseg - INFO - Iter [26900/160000] lr: 7.500e-05, eta: 8:42:36, time: 0.200, data_time: 0.007, memory: 52540, decode.loss_ce: 0.0431, decode.acc_seg: 88.3336, decode.kl_loss: 0.0628, loss: 0.1059 +2023-03-06 00:58:29,793 - mmseg - INFO - Iter [26950/160000] lr: 7.500e-05, eta: 8:42:15, time: 0.198, data_time: 0.007, memory: 52540, decode.loss_ce: 0.0465, decode.acc_seg: 87.6706, decode.kl_loss: 0.0652, loss: 0.1117 +2023-03-06 00:58:39,777 - mmseg - INFO - Exp name: ablation_segformer_mit_b2_segformer_head_unet_fc_small_multi_step_ade_pretrained_freeze_embed_160k_ade20k151_finetune_ema_ce.py +2023-03-06 00:58:39,777 - mmseg - INFO - Iter [27000/160000] lr: 7.500e-05, eta: 8:41:55, time: 0.200, data_time: 0.007, memory: 52540, decode.loss_ce: 0.0441, decode.acc_seg: 87.8831, decode.kl_loss: 0.0668, loss: 0.1109 +2023-03-06 00:58:50,028 - mmseg - INFO - Iter [27050/160000] lr: 7.500e-05, eta: 8:41:36, time: 0.205, data_time: 0.008, memory: 52540, decode.loss_ce: 0.0477, decode.acc_seg: 87.5943, decode.kl_loss: 0.0600, loss: 0.1077 +2023-03-06 00:59:00,188 - mmseg - INFO - Iter [27100/160000] lr: 7.500e-05, eta: 8:41:16, time: 0.203, data_time: 0.007, memory: 52540, decode.loss_ce: 0.0424, decode.acc_seg: 88.5813, decode.kl_loss: 0.0563, loss: 0.0987 +2023-03-06 00:59:12,766 - mmseg - INFO - Iter [27150/160000] lr: 7.500e-05, eta: 8:41:08, time: 0.252, data_time: 0.055, memory: 52540, decode.loss_ce: 0.0422, decode.acc_seg: 88.4432, decode.kl_loss: 0.0602, loss: 0.1024 +2023-03-06 00:59:22,825 - mmseg - INFO - Iter [27200/160000] lr: 7.500e-05, eta: 8:40:48, time: 0.201, data_time: 0.007, memory: 52540, decode.loss_ce: 0.0386, decode.acc_seg: 89.3989, decode.kl_loss: 0.0560, loss: 0.0947 +2023-03-06 00:59:32,976 - mmseg - INFO - Iter [27250/160000] lr: 7.500e-05, eta: 8:40:28, time: 0.203, data_time: 0.007, memory: 52540, decode.loss_ce: 0.0396, decode.acc_seg: 89.2068, decode.kl_loss: 0.0574, loss: 0.0970 +2023-03-06 00:59:42,860 - mmseg - INFO - Iter [27300/160000] lr: 7.500e-05, eta: 8:40:07, time: 0.198, data_time: 0.007, memory: 52540, decode.loss_ce: 0.0457, decode.acc_seg: 87.8719, decode.kl_loss: 0.0615, loss: 0.1073 +2023-03-06 00:59:52,865 - mmseg - INFO - Iter [27350/160000] lr: 7.500e-05, eta: 8:39:47, time: 0.200, data_time: 0.007, memory: 52540, decode.loss_ce: 0.0458, decode.acc_seg: 87.6794, decode.kl_loss: 0.0615, loss: 0.1074 +2023-03-06 01:00:02,984 - mmseg - INFO - Iter [27400/160000] lr: 7.500e-05, eta: 8:39:27, time: 0.202, data_time: 0.007, memory: 52540, decode.loss_ce: 0.0446, decode.acc_seg: 87.8838, decode.kl_loss: 0.0603, loss: 0.1049 +2023-03-06 01:00:13,091 - mmseg - INFO - Iter [27450/160000] lr: 7.500e-05, eta: 8:39:08, time: 0.202, data_time: 0.007, memory: 52540, decode.loss_ce: 0.0421, decode.acc_seg: 88.5325, decode.kl_loss: 0.0581, loss: 0.1003 +2023-03-06 01:00:23,172 - mmseg - INFO - Iter [27500/160000] lr: 7.500e-05, eta: 8:38:48, time: 0.202, data_time: 0.007, memory: 52540, decode.loss_ce: 0.0421, decode.acc_seg: 88.5140, decode.kl_loss: 0.0591, loss: 0.1012 +2023-03-06 01:00:33,128 - mmseg - INFO - Iter [27550/160000] lr: 7.500e-05, eta: 8:38:28, time: 0.199, data_time: 0.007, memory: 52540, decode.loss_ce: 0.0448, decode.acc_seg: 87.5767, decode.kl_loss: 0.0668, loss: 0.1117 +2023-03-06 01:00:43,012 - mmseg - INFO - Iter [27600/160000] lr: 7.500e-05, eta: 8:38:07, time: 0.198, data_time: 0.007, memory: 52540, decode.loss_ce: 0.0395, decode.acc_seg: 89.1556, decode.kl_loss: 0.0582, loss: 0.0976 +2023-03-06 01:00:53,010 - mmseg - INFO - Iter [27650/160000] lr: 7.500e-05, eta: 8:37:47, time: 0.200, data_time: 0.007, memory: 52540, decode.loss_ce: 0.0387, decode.acc_seg: 89.4010, decode.kl_loss: 0.0578, loss: 0.0966 +2023-03-06 01:01:02,946 - mmseg - INFO - Iter [27700/160000] lr: 7.500e-05, eta: 8:37:27, time: 0.199, data_time: 0.007, memory: 52540, decode.loss_ce: 0.0393, decode.acc_seg: 89.2293, decode.kl_loss: 0.0559, loss: 0.0953 +2023-03-06 01:01:12,822 - mmseg - INFO - Iter [27750/160000] lr: 7.500e-05, eta: 8:37:06, time: 0.198, data_time: 0.007, memory: 52540, decode.loss_ce: 0.0399, decode.acc_seg: 89.0979, decode.kl_loss: 0.0596, loss: 0.0995 +2023-03-06 01:01:25,304 - mmseg - INFO - Iter [27800/160000] lr: 7.500e-05, eta: 8:36:58, time: 0.250, data_time: 0.056, memory: 52540, decode.loss_ce: 0.0417, decode.acc_seg: 88.6694, decode.kl_loss: 0.0600, loss: 0.1016 +2023-03-06 01:01:35,246 - mmseg - INFO - Iter [27850/160000] lr: 7.500e-05, eta: 8:36:38, time: 0.199, data_time: 0.007, memory: 52540, decode.loss_ce: 0.0374, decode.acc_seg: 89.7710, decode.kl_loss: 0.0571, loss: 0.0945 +2023-03-06 01:01:45,200 - mmseg - INFO - Iter [27900/160000] lr: 7.500e-05, eta: 8:36:17, time: 0.199, data_time: 0.007, memory: 52540, decode.loss_ce: 0.0446, decode.acc_seg: 88.2645, decode.kl_loss: 0.0640, loss: 0.1086 +2023-03-06 01:01:55,333 - mmseg - INFO - Iter [27950/160000] lr: 7.500e-05, eta: 8:35:58, time: 0.203, data_time: 0.007, memory: 52540, decode.loss_ce: 0.0545, decode.acc_seg: 86.0964, decode.kl_loss: 0.0660, loss: 0.1205 +2023-03-06 01:02:05,260 - mmseg - INFO - Exp name: ablation_segformer_mit_b2_segformer_head_unet_fc_small_multi_step_ade_pretrained_freeze_embed_160k_ade20k151_finetune_ema_ce.py +2023-03-06 01:02:05,260 - mmseg - INFO - Iter [28000/160000] lr: 7.500e-05, eta: 8:35:38, time: 0.199, data_time: 0.007, memory: 52540, decode.loss_ce: 0.0562, decode.acc_seg: 85.0287, decode.kl_loss: 0.0662, loss: 0.1224 +2023-03-06 01:02:15,501 - mmseg - INFO - Iter [28050/160000] lr: 7.500e-05, eta: 8:35:19, time: 0.205, data_time: 0.007, memory: 52540, decode.loss_ce: 0.0465, decode.acc_seg: 87.1830, decode.kl_loss: 0.0705, loss: 0.1171 +2023-03-06 01:02:25,494 - mmseg - INFO - Iter [28100/160000] lr: 7.500e-05, eta: 8:35:00, time: 0.200, data_time: 0.007, memory: 52540, decode.loss_ce: 0.0415, decode.acc_seg: 88.5873, decode.kl_loss: 0.0547, loss: 0.0961 +2023-03-06 01:02:35,555 - mmseg - INFO - Iter [28150/160000] lr: 7.500e-05, eta: 8:34:40, time: 0.201, data_time: 0.007, memory: 52540, decode.loss_ce: 0.0398, decode.acc_seg: 89.3667, decode.kl_loss: 0.0513, loss: 0.0912 +2023-03-06 01:02:45,603 - mmseg - INFO - Iter [28200/160000] lr: 7.500e-05, eta: 8:34:21, time: 0.201, data_time: 0.007, memory: 52540, decode.loss_ce: 0.0429, decode.acc_seg: 88.3341, decode.kl_loss: 0.0586, loss: 0.1015 +2023-03-06 01:02:55,878 - mmseg - INFO - Iter [28250/160000] lr: 7.500e-05, eta: 8:34:02, time: 0.206, data_time: 0.007, memory: 52540, decode.loss_ce: 0.0380, decode.acc_seg: 89.7976, decode.kl_loss: 0.0488, loss: 0.0868 +2023-03-06 01:03:05,892 - mmseg - INFO - Iter [28300/160000] lr: 7.500e-05, eta: 8:33:43, time: 0.200, data_time: 0.007, memory: 52540, decode.loss_ce: 0.0398, decode.acc_seg: 89.1610, decode.kl_loss: 0.0507, loss: 0.0905 +2023-03-06 01:03:15,933 - mmseg - INFO - Iter [28350/160000] lr: 7.500e-05, eta: 8:33:23, time: 0.201, data_time: 0.007, memory: 52540, decode.loss_ce: 0.0376, decode.acc_seg: 89.9295, decode.kl_loss: 0.0497, loss: 0.0874 +2023-03-06 01:03:28,354 - mmseg - INFO - Iter [28400/160000] lr: 7.500e-05, eta: 8:33:15, time: 0.248, data_time: 0.055, memory: 52540, decode.loss_ce: 0.0396, decode.acc_seg: 89.3065, decode.kl_loss: 0.0557, loss: 0.0954 +2023-03-06 01:03:38,243 - mmseg - INFO - Iter [28450/160000] lr: 7.500e-05, eta: 8:32:55, time: 0.198, data_time: 0.007, memory: 52540, decode.loss_ce: 0.0454, decode.acc_seg: 87.5635, decode.kl_loss: 0.0645, loss: 0.1099 +2023-03-06 01:03:48,472 - mmseg - INFO - Iter [28500/160000] lr: 7.500e-05, eta: 8:32:36, time: 0.205, data_time: 0.007, memory: 52540, decode.loss_ce: 0.0386, decode.acc_seg: 89.4762, decode.kl_loss: 0.0518, loss: 0.0904 +2023-03-06 01:03:58,486 - mmseg - INFO - Iter [28550/160000] lr: 7.500e-05, eta: 8:32:17, time: 0.200, data_time: 0.007, memory: 52540, decode.loss_ce: 0.0375, decode.acc_seg: 89.6587, decode.kl_loss: 0.0523, loss: 0.0897 +2023-03-06 01:04:08,555 - mmseg - INFO - Iter [28600/160000] lr: 7.500e-05, eta: 8:31:58, time: 0.201, data_time: 0.007, memory: 52540, decode.loss_ce: 0.0379, decode.acc_seg: 89.7062, decode.kl_loss: 0.0489, loss: 0.0867 +2023-03-06 01:04:18,560 - mmseg - INFO - Iter [28650/160000] lr: 7.500e-05, eta: 8:31:38, time: 0.200, data_time: 0.007, memory: 52540, decode.loss_ce: 0.0404, decode.acc_seg: 88.9094, decode.kl_loss: 0.0527, loss: 0.0931 +2023-03-06 01:04:28,440 - mmseg - INFO - Iter [28700/160000] lr: 7.500e-05, eta: 8:31:18, time: 0.198, data_time: 0.007, memory: 52540, decode.loss_ce: 0.0391, decode.acc_seg: 89.3771, decode.kl_loss: 0.0533, loss: 0.0924 +2023-03-06 01:04:38,315 - mmseg - INFO - Iter [28750/160000] lr: 7.500e-05, eta: 8:30:58, time: 0.198, data_time: 0.007, memory: 52540, decode.loss_ce: 0.0397, decode.acc_seg: 89.2938, decode.kl_loss: 0.0547, loss: 0.0944 +2023-03-06 01:04:48,202 - mmseg - INFO - Iter [28800/160000] lr: 7.500e-05, eta: 8:30:39, time: 0.198, data_time: 0.007, memory: 52540, decode.loss_ce: 0.0397, decode.acc_seg: 89.4937, decode.kl_loss: 0.0504, loss: 0.0901 +2023-03-06 01:04:58,222 - mmseg - INFO - Iter [28850/160000] lr: 7.500e-05, eta: 8:30:19, time: 0.200, data_time: 0.007, memory: 52540, decode.loss_ce: 0.0358, decode.acc_seg: 90.3104, decode.kl_loss: 0.0518, loss: 0.0876 +2023-03-06 01:05:08,483 - mmseg - INFO - Iter [28900/160000] lr: 7.500e-05, eta: 8:30:01, time: 0.205, data_time: 0.007, memory: 52540, decode.loss_ce: 0.0378, decode.acc_seg: 89.6957, decode.kl_loss: 0.0540, loss: 0.0919 +2023-03-06 01:05:18,647 - mmseg - INFO - Iter [28950/160000] lr: 7.500e-05, eta: 8:29:43, time: 0.203, data_time: 0.007, memory: 52540, decode.loss_ce: 0.0385, decode.acc_seg: 89.6383, decode.kl_loss: 0.0524, loss: 0.0909 +2023-03-06 01:05:29,276 - mmseg - INFO - Exp name: ablation_segformer_mit_b2_segformer_head_unet_fc_small_multi_step_ade_pretrained_freeze_embed_160k_ade20k151_finetune_ema_ce.py +2023-03-06 01:05:29,276 - mmseg - INFO - Iter [29000/160000] lr: 7.500e-05, eta: 8:29:26, time: 0.213, data_time: 0.007, memory: 52540, decode.loss_ce: 0.0395, decode.acc_seg: 89.3069, decode.kl_loss: 0.0564, loss: 0.0959 +2023-03-06 01:05:41,723 - mmseg - INFO - Iter [29050/160000] lr: 7.500e-05, eta: 8:29:18, time: 0.249, data_time: 0.058, memory: 52540, decode.loss_ce: 0.0417, decode.acc_seg: 88.8783, decode.kl_loss: 0.0569, loss: 0.0986 +2023-03-06 01:05:51,763 - mmseg - INFO - Iter [29100/160000] lr: 7.500e-05, eta: 8:28:59, time: 0.201, data_time: 0.007, memory: 52540, decode.loss_ce: 0.0448, decode.acc_seg: 87.9016, decode.kl_loss: 0.0688, loss: 0.1136 +2023-03-06 01:06:01,946 - mmseg - INFO - Iter [29150/160000] lr: 7.500e-05, eta: 8:28:41, time: 0.204, data_time: 0.007, memory: 52540, decode.loss_ce: 0.0514, decode.acc_seg: 86.1995, decode.kl_loss: 0.0715, loss: 0.1229 +2023-03-06 01:06:11,889 - mmseg - INFO - Iter [29200/160000] lr: 7.500e-05, eta: 8:28:22, time: 0.199, data_time: 0.007, memory: 52540, decode.loss_ce: 0.0541, decode.acc_seg: 86.5687, decode.kl_loss: 0.0658, loss: 0.1199 +2023-03-06 01:06:21,929 - mmseg - INFO - Iter [29250/160000] lr: 7.500e-05, eta: 8:28:03, time: 0.201, data_time: 0.007, memory: 52540, decode.loss_ce: 0.0414, decode.acc_seg: 88.5941, decode.kl_loss: 0.0597, loss: 0.1012 +2023-03-06 01:06:32,019 - mmseg - INFO - Iter [29300/160000] lr: 7.500e-05, eta: 8:27:44, time: 0.202, data_time: 0.007, memory: 52540, decode.loss_ce: 0.0421, decode.acc_seg: 88.5342, decode.kl_loss: 0.0603, loss: 0.1024 +2023-03-06 01:06:42,388 - mmseg - INFO - Iter [29350/160000] lr: 7.500e-05, eta: 8:27:27, time: 0.207, data_time: 0.007, memory: 52540, decode.loss_ce: 0.0406, decode.acc_seg: 88.7709, decode.kl_loss: 0.0602, loss: 0.1007 +2023-03-06 01:06:53,040 - mmseg - INFO - Iter [29400/160000] lr: 7.500e-05, eta: 8:27:11, time: 0.213, data_time: 0.007, memory: 52540, decode.loss_ce: 0.0396, decode.acc_seg: 89.1258, decode.kl_loss: 0.0555, loss: 0.0951 +2023-03-06 01:07:03,074 - mmseg - INFO - Iter [29450/160000] lr: 7.500e-05, eta: 8:26:52, time: 0.201, data_time: 0.007, memory: 52540, decode.loss_ce: 0.0360, decode.acc_seg: 90.1191, decode.kl_loss: 0.0491, loss: 0.0852 +2023-03-06 01:07:13,114 - mmseg - INFO - Iter [29500/160000] lr: 7.500e-05, eta: 8:26:33, time: 0.201, data_time: 0.007, memory: 52540, decode.loss_ce: 0.0383, decode.acc_seg: 89.6623, decode.kl_loss: 0.0498, loss: 0.0881 +2023-03-06 01:07:23,152 - mmseg - INFO - Iter [29550/160000] lr: 7.500e-05, eta: 8:26:14, time: 0.201, data_time: 0.007, memory: 52540, decode.loss_ce: 0.0369, decode.acc_seg: 89.9590, decode.kl_loss: 0.0497, loss: 0.0867 +2023-03-06 01:07:33,263 - mmseg - INFO - Iter [29600/160000] lr: 7.500e-05, eta: 8:25:56, time: 0.202, data_time: 0.007, memory: 52540, decode.loss_ce: 0.0367, decode.acc_seg: 90.1567, decode.kl_loss: 0.0490, loss: 0.0857 +2023-03-06 01:07:43,496 - mmseg - INFO - Iter [29650/160000] lr: 7.500e-05, eta: 8:25:38, time: 0.205, data_time: 0.007, memory: 52540, decode.loss_ce: 0.0369, decode.acc_seg: 90.0219, decode.kl_loss: 0.0498, loss: 0.0867 +2023-03-06 01:07:56,176 - mmseg - INFO - Iter [29700/160000] lr: 7.500e-05, eta: 8:25:31, time: 0.254, data_time: 0.056, memory: 52540, decode.loss_ce: 0.0365, decode.acc_seg: 90.1672, decode.kl_loss: 0.0489, loss: 0.0854 +2023-03-06 01:08:06,227 - mmseg - INFO - Iter [29750/160000] lr: 7.500e-05, eta: 8:25:12, time: 0.201, data_time: 0.007, memory: 52540, decode.loss_ce: 0.0378, decode.acc_seg: 89.7570, decode.kl_loss: 0.0528, loss: 0.0906 +2023-03-06 01:08:16,638 - mmseg - INFO - Iter [29800/160000] lr: 7.500e-05, eta: 8:24:55, time: 0.208, data_time: 0.007, memory: 52540, decode.loss_ce: 0.0533, decode.acc_seg: 86.0561, decode.kl_loss: 0.0714, loss: 0.1246 +2023-03-06 01:08:27,178 - mmseg - INFO - Iter [29850/160000] lr: 7.500e-05, eta: 8:24:39, time: 0.211, data_time: 0.007, memory: 52540, decode.loss_ce: 0.0413, decode.acc_seg: 88.8228, decode.kl_loss: 0.0588, loss: 0.1001 +2023-03-06 01:08:37,478 - mmseg - INFO - Iter [29900/160000] lr: 7.500e-05, eta: 8:24:21, time: 0.206, data_time: 0.007, memory: 52540, decode.loss_ce: 0.0363, decode.acc_seg: 89.7449, decode.kl_loss: 0.0546, loss: 0.0909 +2023-03-06 01:08:47,691 - mmseg - INFO - Iter [29950/160000] lr: 7.500e-05, eta: 8:24:04, time: 0.205, data_time: 0.008, memory: 52540, decode.loss_ce: 0.0396, decode.acc_seg: 89.2164, decode.kl_loss: 0.0554, loss: 0.0950 +2023-03-06 01:08:57,863 - mmseg - INFO - Exp name: ablation_segformer_mit_b2_segformer_head_unet_fc_small_multi_step_ade_pretrained_freeze_embed_160k_ade20k151_finetune_ema_ce.py +2023-03-06 01:08:57,864 - mmseg - INFO - Iter [30000/160000] lr: 7.500e-05, eta: 8:23:46, time: 0.203, data_time: 0.007, memory: 52540, decode.loss_ce: 0.0414, decode.acc_seg: 88.6545, decode.kl_loss: 0.0615, loss: 0.1029 +2023-03-06 01:09:07,867 - mmseg - INFO - Iter [30050/160000] lr: 7.500e-05, eta: 8:23:27, time: 0.200, data_time: 0.007, memory: 52540, decode.loss_ce: 0.0382, decode.acc_seg: 89.3359, decode.kl_loss: 0.0561, loss: 0.0943 +2023-03-06 01:09:17,884 - mmseg - INFO - Iter [30100/160000] lr: 7.500e-05, eta: 8:23:09, time: 0.200, data_time: 0.007, memory: 52540, decode.loss_ce: 0.0369, decode.acc_seg: 89.5932, decode.kl_loss: 0.0540, loss: 0.0909 +2023-03-06 01:09:27,855 - mmseg - INFO - Iter [30150/160000] lr: 7.500e-05, eta: 8:22:50, time: 0.199, data_time: 0.007, memory: 52540, decode.loss_ce: 0.0460, decode.acc_seg: 87.6286, decode.kl_loss: 0.0673, loss: 0.1133 +2023-03-06 01:09:37,837 - mmseg - INFO - Iter [30200/160000] lr: 7.500e-05, eta: 8:22:31, time: 0.200, data_time: 0.007, memory: 52540, decode.loss_ce: 0.0377, decode.acc_seg: 89.7911, decode.kl_loss: 0.0522, loss: 0.0899 +2023-03-06 01:09:47,951 - mmseg - INFO - Iter [30250/160000] lr: 7.500e-05, eta: 8:22:13, time: 0.202, data_time: 0.007, memory: 52540, decode.loss_ce: 0.0374, decode.acc_seg: 89.8877, decode.kl_loss: 0.0535, loss: 0.0908 +2023-03-06 01:10:00,474 - mmseg - INFO - Iter [30300/160000] lr: 7.500e-05, eta: 8:22:05, time: 0.250, data_time: 0.054, memory: 52540, decode.loss_ce: 0.0377, decode.acc_seg: 89.7541, decode.kl_loss: 0.0546, loss: 0.0923 +2023-03-06 01:10:11,045 - mmseg - INFO - Iter [30350/160000] lr: 7.500e-05, eta: 8:21:49, time: 0.211, data_time: 0.007, memory: 52540, decode.loss_ce: 0.0376, decode.acc_seg: 89.6391, decode.kl_loss: 0.0592, loss: 0.0967 +2023-03-06 01:10:21,372 - mmseg - INFO - Iter [30400/160000] lr: 7.500e-05, eta: 8:21:32, time: 0.206, data_time: 0.007, memory: 52540, decode.loss_ce: 0.0382, decode.acc_seg: 89.6534, decode.kl_loss: 0.0564, loss: 0.0946 +2023-03-06 01:10:31,518 - mmseg - INFO - Iter [30450/160000] lr: 7.500e-05, eta: 8:21:14, time: 0.203, data_time: 0.007, memory: 52540, decode.loss_ce: 0.0392, decode.acc_seg: 89.3612, decode.kl_loss: 0.0562, loss: 0.0955 +2023-03-06 01:10:41,587 - mmseg - INFO - Iter [30500/160000] lr: 7.500e-05, eta: 8:20:56, time: 0.202, data_time: 0.008, memory: 52540, decode.loss_ce: 0.0436, decode.acc_seg: 88.5991, decode.kl_loss: 0.0631, loss: 0.1068 +2023-03-06 01:10:51,739 - mmseg - INFO - Iter [30550/160000] lr: 7.500e-05, eta: 8:20:39, time: 0.203, data_time: 0.007, memory: 52540, decode.loss_ce: 0.0427, decode.acc_seg: 88.4312, decode.kl_loss: 0.0619, loss: 0.1046 +2023-03-06 01:11:01,701 - mmseg - INFO - Iter [30600/160000] lr: 7.500e-05, eta: 8:20:20, time: 0.199, data_time: 0.007, memory: 52540, decode.loss_ce: 0.0386, decode.acc_seg: 89.6388, decode.kl_loss: 0.0552, loss: 0.0938 +2023-03-06 01:11:11,804 - mmseg - INFO - Iter [30650/160000] lr: 7.500e-05, eta: 8:20:02, time: 0.202, data_time: 0.008, memory: 52540, decode.loss_ce: 0.0375, decode.acc_seg: 89.4791, decode.kl_loss: 0.0581, loss: 0.0956 +2023-03-06 01:11:21,714 - mmseg - INFO - Iter [30700/160000] lr: 7.500e-05, eta: 8:19:43, time: 0.198, data_time: 0.007, memory: 52540, decode.loss_ce: 0.0439, decode.acc_seg: 88.2089, decode.kl_loss: 0.0663, loss: 0.1102 +2023-03-06 01:11:31,987 - mmseg - INFO - Iter [30750/160000] lr: 7.500e-05, eta: 8:19:26, time: 0.205, data_time: 0.007, memory: 52540, decode.loss_ce: 0.0458, decode.acc_seg: 87.7258, decode.kl_loss: 0.0670, loss: 0.1128 +2023-03-06 01:11:42,262 - mmseg - INFO - Iter [30800/160000] lr: 7.500e-05, eta: 8:19:09, time: 0.205, data_time: 0.007, memory: 52540, decode.loss_ce: 0.0408, decode.acc_seg: 88.8037, decode.kl_loss: 0.0606, loss: 0.1014 +2023-03-06 01:11:52,316 - mmseg - INFO - Iter [30850/160000] lr: 7.500e-05, eta: 8:18:51, time: 0.201, data_time: 0.007, memory: 52540, decode.loss_ce: 0.0417, decode.acc_seg: 88.6939, decode.kl_loss: 0.0622, loss: 0.1039 +2023-03-06 01:12:02,437 - mmseg - INFO - Iter [30900/160000] lr: 7.500e-05, eta: 8:18:33, time: 0.202, data_time: 0.007, memory: 52540, decode.loss_ce: 0.0411, decode.acc_seg: 88.9940, decode.kl_loss: 0.0639, loss: 0.1050 +2023-03-06 01:12:15,230 - mmseg - INFO - Iter [30950/160000] lr: 7.500e-05, eta: 8:18:27, time: 0.256, data_time: 0.054, memory: 52540, decode.loss_ce: 0.0423, decode.acc_seg: 88.5837, decode.kl_loss: 0.0668, loss: 0.1091 +2023-03-06 01:12:25,265 - mmseg - INFO - Exp name: ablation_segformer_mit_b2_segformer_head_unet_fc_small_multi_step_ade_pretrained_freeze_embed_160k_ade20k151_finetune_ema_ce.py +2023-03-06 01:12:25,266 - mmseg - INFO - Iter [31000/160000] lr: 7.500e-05, eta: 8:18:09, time: 0.201, data_time: 0.007, memory: 52540, decode.loss_ce: 0.0454, decode.acc_seg: 88.0996, decode.kl_loss: 0.0707, loss: 0.1161 +2023-03-06 01:12:35,343 - mmseg - INFO - Iter [31050/160000] lr: 7.500e-05, eta: 8:17:51, time: 0.202, data_time: 0.007, memory: 52540, decode.loss_ce: 0.0563, decode.acc_seg: 85.4812, decode.kl_loss: 0.0817, loss: 0.1380 +2023-03-06 01:12:45,372 - mmseg - INFO - Iter [31100/160000] lr: 7.500e-05, eta: 8:17:33, time: 0.201, data_time: 0.007, memory: 52540, decode.loss_ce: 0.0419, decode.acc_seg: 88.2992, decode.kl_loss: 0.0683, loss: 0.1102 +2023-03-06 01:12:55,573 - mmseg - INFO - Iter [31150/160000] lr: 7.500e-05, eta: 8:17:16, time: 0.204, data_time: 0.007, memory: 52540, decode.loss_ce: 0.0459, decode.acc_seg: 87.6731, decode.kl_loss: 0.0695, loss: 0.1154 +2023-03-06 01:13:05,654 - mmseg - INFO - Iter [31200/160000] lr: 7.500e-05, eta: 8:16:58, time: 0.202, data_time: 0.007, memory: 52540, decode.loss_ce: 0.0484, decode.acc_seg: 86.9619, decode.kl_loss: 0.0691, loss: 0.1176 +2023-03-06 01:13:15,523 - mmseg - INFO - Iter [31250/160000] lr: 7.500e-05, eta: 8:16:39, time: 0.197, data_time: 0.007, memory: 52540, decode.loss_ce: 0.0411, decode.acc_seg: 88.5308, decode.kl_loss: 0.0611, loss: 0.1022 +2023-03-06 01:13:25,825 - mmseg - INFO - Iter [31300/160000] lr: 7.500e-05, eta: 8:16:22, time: 0.206, data_time: 0.007, memory: 52540, decode.loss_ce: 0.0410, decode.acc_seg: 88.8004, decode.kl_loss: 0.0621, loss: 0.1031 +2023-03-06 01:13:35,956 - mmseg - INFO - Iter [31350/160000] lr: 7.500e-05, eta: 8:16:05, time: 0.203, data_time: 0.008, memory: 52540, decode.loss_ce: 0.0407, decode.acc_seg: 88.8668, decode.kl_loss: 0.0615, loss: 0.1022 +2023-03-06 01:13:46,001 - mmseg - INFO - Iter [31400/160000] lr: 7.500e-05, eta: 8:15:47, time: 0.201, data_time: 0.007, memory: 52540, decode.loss_ce: 0.0386, decode.acc_seg: 89.2266, decode.kl_loss: 0.0626, loss: 0.1013 +2023-03-06 01:13:55,992 - mmseg - INFO - Iter [31450/160000] lr: 7.500e-05, eta: 8:15:29, time: 0.200, data_time: 0.007, memory: 52540, decode.loss_ce: 0.0442, decode.acc_seg: 88.1675, decode.kl_loss: 0.0659, loss: 0.1100 +2023-03-06 01:14:06,255 - mmseg - INFO - Iter [31500/160000] lr: 7.500e-05, eta: 8:15:12, time: 0.205, data_time: 0.007, memory: 52540, decode.loss_ce: 0.0425, decode.acc_seg: 88.3565, decode.kl_loss: 0.0663, loss: 0.1088 +2023-03-06 01:14:16,139 - mmseg - INFO - Iter [31550/160000] lr: 7.500e-05, eta: 8:14:54, time: 0.198, data_time: 0.007, memory: 52540, decode.loss_ce: 0.0579, decode.acc_seg: 85.1662, decode.kl_loss: 0.0810, loss: 0.1389 +2023-03-06 01:14:28,717 - mmseg - INFO - Iter [31600/160000] lr: 7.500e-05, eta: 8:14:47, time: 0.252, data_time: 0.054, memory: 52540, decode.loss_ce: 0.0652, decode.acc_seg: 82.5886, decode.kl_loss: 0.0812, loss: 0.1464 +2023-03-06 01:14:38,626 - mmseg - INFO - Iter [31650/160000] lr: 7.500e-05, eta: 8:14:28, time: 0.198, data_time: 0.007, memory: 52540, decode.loss_ce: 0.0555, decode.acc_seg: 85.1624, decode.kl_loss: 0.0695, loss: 0.1250 +2023-03-06 01:14:48,828 - mmseg - INFO - Iter [31700/160000] lr: 7.500e-05, eta: 8:14:11, time: 0.204, data_time: 0.007, memory: 52540, decode.loss_ce: 0.0659, decode.acc_seg: 81.5877, decode.kl_loss: 0.0828, loss: 0.1487 +2023-03-06 01:14:59,096 - mmseg - INFO - Iter [31750/160000] lr: 7.500e-05, eta: 8:13:54, time: 0.205, data_time: 0.007, memory: 52540, decode.loss_ce: 0.0470, decode.acc_seg: 86.4840, decode.kl_loss: 0.0683, loss: 0.1153 +2023-03-06 01:15:08,998 - mmseg - INFO - Iter [31800/160000] lr: 7.500e-05, eta: 8:13:36, time: 0.198, data_time: 0.007, memory: 52540, decode.loss_ce: 0.0391, decode.acc_seg: 89.1716, decode.kl_loss: 0.0586, loss: 0.0977 +2023-03-06 01:15:19,100 - mmseg - INFO - Iter [31850/160000] lr: 7.500e-05, eta: 8:13:19, time: 0.202, data_time: 0.007, memory: 52540, decode.loss_ce: 0.0387, decode.acc_seg: 89.4141, decode.kl_loss: 0.0530, loss: 0.0917 +2023-03-06 01:15:29,166 - mmseg - INFO - Iter [31900/160000] lr: 7.500e-05, eta: 8:13:01, time: 0.201, data_time: 0.007, memory: 52540, decode.loss_ce: 0.0376, decode.acc_seg: 89.8683, decode.kl_loss: 0.0515, loss: 0.0891 +2023-03-06 01:15:39,153 - mmseg - INFO - Iter [31950/160000] lr: 7.500e-05, eta: 8:12:44, time: 0.200, data_time: 0.007, memory: 52540, decode.loss_ce: 0.0374, decode.acc_seg: 89.8129, decode.kl_loss: 0.0520, loss: 0.0894 +2023-03-06 01:15:49,055 - mmseg - INFO - Swap parameters (after train) after iter [32000] +2023-03-06 01:15:49,068 - mmseg - INFO - Saving checkpoint at 32000 iterations +2023-03-06 01:15:50,160 - mmseg - INFO - Exp name: ablation_segformer_mit_b2_segformer_head_unet_fc_small_multi_step_ade_pretrained_freeze_embed_160k_ade20k151_finetune_ema_ce.py +2023-03-06 01:15:50,160 - mmseg - INFO - Iter [32000/160000] lr: 7.500e-05, eta: 8:12:30, time: 0.220, data_time: 0.007, memory: 52540, decode.loss_ce: 0.0404, decode.acc_seg: 89.0741, decode.kl_loss: 0.0549, loss: 0.0953 +2023-03-06 01:26:31,460 - mmseg - INFO - per class results: +2023-03-06 01:26:31,469 - mmseg - INFO - ++---------------------+-------------------------------------------------------------------+ +| Class | IoU 0,10,20,30,40,50,60,70,80,90,99 | ++---------------------+-------------------------------------------------------------------+ +| background | nan,nan,nan,nan,nan,nan,nan,nan,nan,nan,nan | +| wall | 75.66,75.72,75.72,75.72,75.73,75.73,75.73,75.74,75.76,75.73,75.64 | +| building | 81.02,81.01,81.01,81.03,81.04,81.06,81.07,81.07,81.09,81.07,81.02 | +| sky | 94.14,94.17,94.17,94.18,94.18,94.18,94.18,94.17,94.15,94.12,94.07 | +| floor | 80.52,80.55,80.56,80.58,80.59,80.6,80.58,80.58,80.59,80.58,80.56 | +| tree | 72.91,73.0,73.03,73.04,73.04,73.04,73.04,73.04,73.02,73.0,72.91 | +| ceiling | 83.58,83.68,83.68,83.7,83.7,83.7,83.67,83.66,83.65,83.6,83.53 | +| road | 80.92,81.02,81.0,81.0,80.99,80.98,80.98,80.95,80.94,80.93,80.91 | +| bed | 85.31,85.55,85.56,85.61,85.63,85.61,85.6,85.56,85.51,85.5,85.47 | +| windowpane | 59.18,59.28,59.31,59.31,59.27,59.29,59.25,59.19,59.16,59.09,58.97 | +| grass | 65.95,66.13,66.15,66.16,66.17,66.2,66.18,66.16,66.16,66.12,66.0 | +| cabinet | 58.79,58.89,58.94,59.01,58.99,59.04,59.05,59.01,59.0,59.02,58.98 | +| sidewalk | 60.96,61.09,61.06,61.07,61.06,61.03,61.07,61.02,60.99,60.96,60.88 | +| person | 77.39,77.55,77.54,77.51,77.54,77.52,77.51,77.51,77.56,77.51,77.43 | +| earth | 34.49,34.58,34.56,34.52,34.53,34.49,34.53,34.49,34.5,34.49,34.47 | +| door | 42.86,42.75,42.84,42.86,42.91,42.97,43.0,43.08,43.17,43.25,43.31 | +| table | 55.43,55.81,55.81,55.82,55.83,55.82,55.78,55.79,55.77,55.72,55.61 | +| mountain | 55.82,55.92,55.89,55.89,55.91,55.9,55.9,55.91,55.87,55.86,55.84 | +| plant | 48.61,48.78,48.82,48.82,48.83,48.83,48.83,48.86,48.87,48.88,48.85 | +| curtain | 71.96,72.04,72.15,72.13,72.16,72.2,72.21,72.23,72.25,72.24,72.19 | +| chair | 53.25,53.42,53.44,53.53,53.55,53.56,53.53,53.49,53.47,53.4,53.33 | +| car | 81.19,81.14,81.16,81.2,81.16,81.17,81.16,81.13,81.11,81.04,80.98 | +| water | 57.35,57.36,57.36,57.37,57.36,57.4,57.44,57.45,57.46,57.44,57.36 | +| painting | 68.46,68.64,68.59,68.66,68.63,68.53,68.5,68.41,68.3,68.04,67.83 | +| sofa | 61.28,61.57,61.57,61.64,61.67,61.75,61.68,61.71,61.67,61.6,61.53 | +| shelf | 43.56,43.73,43.76,43.81,43.72,43.74,43.71,43.63,43.65,43.67,43.62 | +| house | 37.9,38.09,38.18,38.33,38.49,38.7,38.83,39.06,39.46,39.78,40.1 | +| sea | 60.22,60.19,60.21,60.31,60.32,60.39,60.46,60.47,60.52,60.49,60.41 | +| mirror | 60.31,60.42,60.36,60.34,60.3,60.25,60.3,60.26,60.24,60.28,60.35 | +| rug | 60.98,61.01,61.09,61.16,61.21,61.28,61.24,61.37,61.43,61.52,61.64 | +| field | 29.64,29.71,29.74,29.73,29.75,29.77,29.77,29.76,29.78,29.77,29.76 | +| armchair | 35.38,35.39,35.41,35.5,35.55,35.66,35.58,35.57,35.5,35.46,35.31 | +| seat | 64.83,65.05,65.0,65.05,65.06,65.1,65.08,65.12,65.2,65.18,65.17 | +| fence | 35.76,36.12,36.04,36.21,36.14,36.26,36.28,36.34,36.57,36.84,36.97 | +| desk | 45.41,45.65,45.5,45.66,45.71,45.77,45.68,45.67,45.62,45.55,45.44 | +| rock | 37.53,37.66,37.55,37.51,37.58,37.5,37.41,37.4,37.36,37.27,37.25 | +| wardrobe | 54.3,54.46,54.61,54.65,54.74,54.79,54.85,54.84,54.93,54.91,54.83 | +| lamp | 58.13,58.48,58.39,58.35,58.41,58.35,58.23,58.2,58.11,58.11,57.99 | +| bathtub | 73.82,73.57,73.68,73.7,73.75,73.87,74.06,74.04,74.18,74.21,74.23 | +| railing | 33.09,32.84,33.05,33.17,33.17,33.41,33.48,33.58,33.73,33.86,33.81 | +| cushion | 50.77,51.19,51.19,51.09,51.2,51.16,51.3,51.18,51.14,51.14,51.03 | +| base | 18.71,18.82,18.92,18.8,18.98,18.83,18.76,18.74,18.8,18.8,18.86 | +| box | 20.68,20.72,20.7,20.65,20.8,20.83,20.88,21.0,21.07,21.1,21.14 | +| column | 42.66,42.64,42.74,42.88,42.98,42.97,43.08,43.25,43.35,43.4,43.47 | +| signboard | 35.35,35.52,35.55,35.53,35.61,35.62,35.77,35.7,35.79,35.82,35.87 | +| chest of drawers | 35.32,35.29,35.31,35.42,35.47,35.47,35.59,35.53,35.51,35.59,35.56 | +| counter | 30.3,30.46,30.63,30.76,30.72,30.8,30.66,30.74,30.79,30.74,30.75 | +| sand | 36.09,36.01,36.05,36.1,36.12,36.19,36.2,36.21,36.25,36.32,36.38 | +| sink | 63.35,63.77,63.76,63.7,63.68,63.82,63.72,63.57,63.61,63.34,63.16 | +| skyscraper | 51.65,51.61,51.44,51.41,51.44,51.47,51.45,51.56,51.72,51.96,52.39 | +| fireplace | 72.43,72.41,72.64,72.65,72.7,72.61,72.64,72.66,72.43,72.27,72.1 | +| refrigerator | 70.61,70.87,71.04,71.09,70.94,70.94,70.93,70.84,70.8,70.76,70.75 | +| grandstand | 48.1,48.63,48.45,48.38,48.24,48.31,48.18,48.13,48.1,48.04,47.89 | +| path | 20.48,20.39,20.24,20.34,20.34,20.41,20.47,20.56,20.58,20.71,20.75 | +| stairs | 30.81,31.19,31.05,31.08,30.85,30.89,30.76,30.6,30.54,30.35,30.26 | +| runway | 66.62,66.41,66.43,66.48,66.53,66.5,66.61,66.65,66.73,66.75,66.79 | +| case | 45.38,45.97,46.22,46.21,46.25,46.16,46.08,46.15,46.14,46.08,46.09 | +| pool table | 90.08,90.06,90.14,90.13,90.14,90.18,90.2,90.16,90.15,90.14,90.07 | +| pillow | 48.35,49.22,49.24,49.35,49.3,49.28,49.29,49.34,49.44,49.61,49.77 | +| screen door | 64.06,64.38,64.48,64.17,64.16,64.01,64.21,64.19,64.01,64.03,64.02 | +| stairway | 24.73,24.71,24.76,24.85,24.9,25.02,25.12,25.16,25.24,25.22,25.24 | +| river | 10.75,10.84,10.82,10.75,10.74,10.76,10.76,10.79,10.79,10.82,10.87 | +| bridge | 30.65,30.42,30.39,30.46,30.44,30.49,30.57,30.73,30.92,31.04,31.19 | +| bookcase | 42.36,42.78,42.94,43.05,43.09,43.21,43.22,43.38,43.33,43.33,43.19 | +| blind | 32.85,32.87,32.83,33.0,32.92,32.97,33.06,32.98,33.03,32.96,33.03 | +| coffee table | 52.04,52.3,52.37,52.34,52.33,52.47,52.41,52.49,52.54,52.36,52.23 | +| toilet | 79.8,80.1,80.05,80.17,80.14,80.35,80.25,80.19,80.1,79.93,79.7 | +| flower | 37.61,37.77,37.67,37.67,37.68,37.77,37.75,37.7,37.74,37.72,37.64 | +| book | 40.31,40.35,40.42,40.42,40.5,40.48,40.5,40.73,40.7,40.84,40.75 | +| hill | 13.93,13.78,13.87,13.86,13.92,13.98,14.12,14.13,14.19,14.24,14.3 | +| bench | 40.33,40.61,40.73,40.74,40.67,40.49,40.34,40.29,40.09,40.02,39.88 | +| countertop | 49.99,49.84,49.95,50.05,50.22,50.33,50.35,50.3,50.4,50.23,50.19 | +| stove | 68.48,68.75,68.75,68.88,68.84,68.94,68.83,68.7,68.75,68.65,68.63 | +| palm | 47.55,47.65,47.61,47.58,47.55,47.41,47.48,47.49,47.6,47.47,47.34 | +| kitchen island | 34.56,34.98,35.09,34.96,34.99,35.06,35.08,35.16,35.18,35.01,35.06 | +| computer | 57.37,57.56,57.48,57.57,57.55,57.56,57.47,57.52,57.45,57.46,57.42 | +| swivel chair | 42.63,41.71,41.8,41.99,42.11,42.41,42.52,42.78,43.02,43.28,43.32 | +| boat | 69.19,69.62,69.79,69.6,70.0,69.93,69.88,69.9,70.01,70.08,70.07 | +| bar | 21.65,21.58,21.75,21.83,21.9,22.09,22.18,22.2,22.31,22.38,22.45 | +| arcade machine | 66.62,66.86,66.9,67.17,67.45,67.67,68.01,68.43,68.85,69.31,69.47 | +| hovel | 24.16,23.97,23.57,23.72,23.76,24.02,23.86,24.12,24.39,24.67,24.93 | +| bus | 72.78,73.74,73.52,73.27,73.22,73.01,72.82,72.59,72.35,72.13,72.13 | +| towel | 58.83,58.78,58.61,58.65,58.86,58.96,58.94,58.85,58.92,58.84,58.72 | +| light | 33.67,33.87,34.1,34.45,34.95,35.16,35.66,36.06,36.77,37.45,38.18 | +| truck | 18.11,17.79,17.94,17.8,17.91,17.95,17.98,17.89,18.26,18.43,18.48 | +| tower | 8.3,8.21,8.25,8.33,8.35,8.39,8.48,8.6,8.76,8.86,8.92 | +| chandelier | 62.11,62.19,62.06,62.18,62.16,62.16,62.12,62.02,61.97,61.99,61.87 | +| awning | 17.47,17.27,17.38,17.53,17.54,17.53,17.77,17.78,17.99,18.03,18.3 | +| streetlight | 20.65,20.32,20.37,20.61,20.61,20.6,20.86,20.98,20.92,21.01,21.19 | +| booth | 40.33,40.39,39.75,39.95,40.02,39.9,40.27,40.46,40.71,41.34,41.8 | +| television receiver | 63.04,63.18,63.12,63.32,63.47,63.36,63.58,63.5,63.49,63.4,63.37 | +| airplane | 53.66,54.21,54.2,54.25,54.17,54.34,54.38,54.24,54.14,54.09,54.1 | +| dirt track | 15.07,14.91,15.04,15.04,15.3,15.3,15.51,15.7,15.71,15.52,15.61 | +| apparel | 35.41,35.55,35.37,35.42,35.39,35.34,35.17,35.0,34.95,34.68,34.59 | +| pole | 13.92,14.1,14.2,14.15,14.33,14.4,14.53,14.58,14.65,14.84,14.94 | +| land | 2.65,2.53,2.61,2.57,2.6,2.66,2.7,2.77,2.9,3.0,3.14 | +| bannister | 9.42,9.6,9.99,9.95,9.88,9.81,9.87,9.94,9.97,10.04,10.19 | +| escalator | 22.95,22.74,22.76,22.92,22.91,22.88,22.99,23.06,23.32,23.38,23.43 | +| ottoman | 36.9,37.21,36.99,37.26,37.36,36.92,37.1,36.97,36.92,37.03,37.01 | +| bottle | 30.33,30.19,30.05,30.28,30.43,30.68,30.71,31.07,31.35,31.6,31.73 | +| buffet | 29.65,30.06,30.25,30.12,30.13,30.09,30.17,30.08,30.27,30.38,30.47 | +| poster | 22.43,21.98,22.09,22.44,22.34,22.57,22.4,22.47,22.49,22.52,22.5 | +| stage | 13.09,13.15,13.18,12.92,12.87,12.75,12.69,12.49,12.51,12.48,12.55 | +| van | 37.38,37.49,37.23,37.39,37.2,37.24,37.3,37.34,37.53,37.58,37.55 | +| ship | 72.9,73.3,73.2,73.17,73.31,73.16,73.42,73.43,73.55,73.72,73.82 | +| fountain | 6.77,6.13,5.99,6.0,6.13,5.97,6.19,6.29,6.51,6.69,6.86 | +| conveyer belt | 81.13,80.78,80.79,81.27,81.4,81.69,81.66,81.9,82.03,82.05,82.01 | +| canopy | 20.17,20.45,20.45,20.64,20.67,20.77,20.91,21.18,21.04,20.98,20.81 | +| washer | 67.55,68.39,68.25,68.47,68.22,68.27,68.52,68.69,68.89,69.28,69.58 | +| plaything | 19.16,19.24,19.11,19.17,19.25,19.14,19.01,19.04,18.97,19.12,19.1 | +| swimming pool | 74.36,74.32,74.46,74.45,74.33,74.65,74.49,74.85,74.78,74.88,75.1 | +| stool | 34.59,34.48,34.47,34.83,35.14,35.35,35.78,35.78,35.95,36.13,36.26 | +| barrel | 36.8,36.19,36.78,37.09,37.71,37.84,37.68,38.81,39.67,40.29,41.13 | +| basket | 19.72,20.34,20.36,20.52,20.47,20.46,20.46,20.4,20.26,20.11,19.88 | +| waterfall | 52.23,52.39,52.52,52.51,52.37,52.61,52.61,52.41,52.31,52.18,52.07 | +| tent | 94.23,94.61,94.31,94.46,94.3,94.15,94.11,94.18,94.01,93.91,93.8 | +| bag | 12.96,12.54,12.36,12.77,12.76,12.75,12.69,12.78,12.8,12.86,12.84 | +| minibike | 61.76,62.03,62.12,62.31,62.5,62.64,62.68,62.52,62.81,62.91,63.08 | +| cradle | 80.72,80.82,80.98,80.86,81.17,81.01,81.34,81.14,81.44,81.4,81.4 | +| oven | 41.87,42.97,42.39,42.98,43.17,43.47,43.51,43.64,43.58,43.51,43.49 | +| ball | 45.19,45.81,45.45,45.19,45.61,45.1,45.32,45.43,45.57,45.48,45.51 | +| food | 51.21,50.36,50.83,51.37,51.83,51.96,51.97,52.21,52.32,52.05,51.94 | +| step | 8.28,8.25,8.05,8.3,8.53,8.51,8.29,8.14,7.92,7.74,7.64 | +| tank | 51.44,50.78,51.18,51.22,51.44,51.58,51.75,51.82,51.95,52.08,52.11 | +| trade name | 26.21,26.06,25.98,26.04,26.18,26.28,26.55,26.72,26.73,26.93,26.99 | +| microwave | 71.61,72.78,72.77,72.76,73.01,73.33,73.47,73.45,73.49,73.41,73.35 | +| pot | 21.77,22.39,22.54,22.59,22.75,22.85,22.84,23.27,23.47,23.6,23.83 | +| animal | 54.56,54.74,54.78,54.75,54.81,54.87,54.96,55.02,54.93,54.99,54.99 | +| bicycle | 49.47,48.98,49.16,49.24,49.35,49.39,49.42,49.59,49.81,49.57,49.34 | +| lake | 56.37,56.16,56.31,56.42,56.43,56.42,56.48,56.5,56.55,56.57,56.48 | +| dishwasher | 61.31,61.95,61.67,61.55,61.74,61.55,61.82,61.69,61.74,61.54,61.59 | +| screen | 60.79,61.95,62.04,61.82,61.91,61.66,61.6,61.25,61.21,60.93,60.72 | +| blanket | 13.86,13.83,13.92,14.09,14.25,14.19,14.31,14.31,14.44,14.53,14.48 | +| sculpture | 61.42,61.66,61.69,62.18,62.36,62.61,62.91,62.88,62.03,61.75,61.2 | +| hood | 53.04,53.27,53.31,53.74,53.59,53.78,53.9,54.14,54.01,53.8,53.67 | +| sconce | 35.96,35.97,36.36,36.07,36.92,37.18,37.07,37.46,37.69,38.12,38.15 | +| vase | 30.18,30.01,30.18,30.05,30.31,30.5,30.27,30.38,30.24,30.29,30.48 | +| traffic light | 29.6,29.65,29.76,29.87,29.99,29.99,30.41,30.38,30.55,30.69,30.55 | +| tray | 3.51,3.22,3.58,3.51,3.44,3.62,3.76,3.78,4.01,4.15,4.16 | +| ashcan | 35.34,36.16,36.17,36.83,36.95,36.9,36.91,36.76,36.81,36.72,36.45 | +| fan | 50.49,50.85,50.5,50.4,51.29,51.19,51.42,51.76,52.16,52.47,52.68 | +| pier | 43.23,44.26,44.94,45.12,44.9,44.52,44.73,44.86,45.35,46.05,46.53 | +| crt screen | 2.02,2.02,2.03,2.0,2.04,1.99,1.8,1.78,1.68,1.72,1.73 | +| plate | 42.01,41.93,42.37,42.32,42.95,42.96,43.16,43.65,43.84,43.72,43.81 | +| monitor | 6.29,5.84,5.68,5.75,5.55,5.26,5.28,5.34,5.26,5.29,5.31 | +| bulletin board | 33.49,34.83,34.81,34.58,35.05,35.0,35.11,35.01,34.78,34.34,34.02 | +| shower | 0.44,0.39,0.36,0.39,0.36,0.39,0.39,0.42,0.44,0.47,0.51 | +| radiator | 52.55,52.03,52.06,52.83,52.97,53.65,54.09,54.65,55.04,55.56,55.92 | +| glass | 6.04,5.65,5.66,5.82,6.04,6.15,6.39,6.71,6.93,7.11,7.38 | +| clock | 28.08,27.74,27.24,28.39,27.44,27.23,26.68,26.91,26.6,26.93,27.38 | +| flag | 29.53,30.17,29.93,30.04,30.16,30.18,30.34,30.5,30.76,31.02,31.17 | ++---------------------+-------------------------------------------------------------------+ +2023-03-06 01:26:31,469 - mmseg - INFO - Summary: +2023-03-06 01:26:31,469 - mmseg - INFO - ++------------------------------------------------------------------+ +| mIoU 0,10,20,30,40,50,60,70,80,90,99 | ++------------------------------------------------------------------+ +| 45.18,45.3,45.31,45.39,45.45,45.48,45.52,45.57,45.62,45.66,45.67 | ++------------------------------------------------------------------+ +2023-03-06 01:26:31,505 - mmseg - INFO - The previous best checkpoint /mnt/petrelfs/laizeqiang/mmseg-baseline/work_dirs2/ablation_segformer_mit_b2_segformer_head_unet_fc_small_multi_step_ade_pretrained_freeze_embed_160k_ade20k151_finetune_ema_ce/best_mIoU_iter_16000.pth was removed +2023-03-06 01:26:32,490 - mmseg - INFO - Now best checkpoint is saved as best_mIoU_iter_32000.pth. +2023-03-06 01:26:32,490 - mmseg - INFO - Best mIoU is 0.4567 at 32000 iter. +2023-03-06 01:26:32,490 - mmseg - INFO - Exp name: ablation_segformer_mit_b2_segformer_head_unet_fc_small_multi_step_ade_pretrained_freeze_embed_160k_ade20k151_finetune_ema_ce.py +2023-03-06 01:26:32,491 - mmseg - INFO - Iter(val) [250] mIoU: [0.4518, 0.453, 0.4531, 0.4539, 0.4545, 0.4548, 0.4552, 0.4557, 0.4562, 0.4566, 0.4567], copy_paste: 45.18,45.3,45.31,45.39,45.45,45.48,45.52,45.57,45.62,45.66,45.67 +2023-03-06 01:26:32,497 - mmseg - INFO - Swap parameters (before train) before iter [32001] +2023-03-06 01:26:42,859 - mmseg - INFO - Iter [32050/160000] lr: 7.500e-05, eta: 8:54:58, time: 13.054, data_time: 12.855, memory: 52540, decode.loss_ce: 0.0418, decode.acc_seg: 88.9583, decode.kl_loss: 0.0635, loss: 0.1053 +2023-03-06 01:26:53,149 - mmseg - INFO - Iter [32100/160000] lr: 7.500e-05, eta: 8:54:36, time: 0.206, data_time: 0.008, memory: 52540, decode.loss_ce: 0.0510, decode.acc_seg: 86.6438, decode.kl_loss: 0.0654, loss: 0.1165 +2023-03-06 01:27:03,360 - mmseg - INFO - Iter [32150/160000] lr: 7.500e-05, eta: 8:54:15, time: 0.204, data_time: 0.007, memory: 52540, decode.loss_ce: 0.0529, decode.acc_seg: 85.9769, decode.kl_loss: 0.0649, loss: 0.1178 +2023-03-06 01:27:15,973 - mmseg - INFO - Iter [32200/160000] lr: 7.500e-05, eta: 8:54:02, time: 0.252, data_time: 0.054, memory: 52540, decode.loss_ce: 0.0485, decode.acc_seg: 86.7057, decode.kl_loss: 0.0629, loss: 0.1114 +2023-03-06 01:27:26,325 - mmseg - INFO - Iter [32250/160000] lr: 7.500e-05, eta: 8:53:41, time: 0.207, data_time: 0.007, memory: 52540, decode.loss_ce: 0.0388, decode.acc_seg: 89.1987, decode.kl_loss: 0.0548, loss: 0.0936 +2023-03-06 01:27:36,438 - mmseg - INFO - Iter [32300/160000] lr: 7.500e-05, eta: 8:53:19, time: 0.202, data_time: 0.007, memory: 52540, decode.loss_ce: 0.0405, decode.acc_seg: 88.9441, decode.kl_loss: 0.0530, loss: 0.0935 +2023-03-06 01:27:46,449 - mmseg - INFO - Iter [32350/160000] lr: 7.500e-05, eta: 8:52:57, time: 0.200, data_time: 0.007, memory: 52540, decode.loss_ce: 0.0416, decode.acc_seg: 88.5008, decode.kl_loss: 0.0558, loss: 0.0974 +2023-03-06 01:27:56,602 - mmseg - INFO - Iter [32400/160000] lr: 7.500e-05, eta: 8:52:35, time: 0.203, data_time: 0.007, memory: 52540, decode.loss_ce: 0.0414, decode.acc_seg: 88.6259, decode.kl_loss: 0.0552, loss: 0.0965 +2023-03-06 01:28:06,599 - mmseg - INFO - Iter [32450/160000] lr: 7.500e-05, eta: 8:52:12, time: 0.200, data_time: 0.007, memory: 52540, decode.loss_ce: 0.0393, decode.acc_seg: 89.1964, decode.kl_loss: 0.0519, loss: 0.0912 +2023-03-06 01:28:16,825 - mmseg - INFO - Iter [32500/160000] lr: 7.500e-05, eta: 8:51:51, time: 0.204, data_time: 0.007, memory: 52540, decode.loss_ce: 0.0376, decode.acc_seg: 89.6834, decode.kl_loss: 0.0488, loss: 0.0864 +2023-03-06 01:28:26,884 - mmseg - INFO - Iter [32550/160000] lr: 7.500e-05, eta: 8:51:29, time: 0.201, data_time: 0.008, memory: 52540, decode.loss_ce: 0.0390, decode.acc_seg: 89.3268, decode.kl_loss: 0.0532, loss: 0.0922 +2023-03-06 01:28:36,845 - mmseg - INFO - Iter [32600/160000] lr: 7.500e-05, eta: 8:51:06, time: 0.199, data_time: 0.007, memory: 52540, decode.loss_ce: 0.0377, decode.acc_seg: 89.6840, decode.kl_loss: 0.0513, loss: 0.0889 +2023-03-06 01:28:46,787 - mmseg - INFO - Iter [32650/160000] lr: 7.500e-05, eta: 8:50:44, time: 0.199, data_time: 0.007, memory: 52540, decode.loss_ce: 0.0407, decode.acc_seg: 89.0147, decode.kl_loss: 0.0568, loss: 0.0975 +2023-03-06 01:28:56,978 - mmseg - INFO - Iter [32700/160000] lr: 7.500e-05, eta: 8:50:22, time: 0.204, data_time: 0.007, memory: 52540, decode.loss_ce: 0.0400, decode.acc_seg: 89.2732, decode.kl_loss: 0.0525, loss: 0.0925 +2023-03-06 01:29:07,090 - mmseg - INFO - Iter [32750/160000] lr: 7.500e-05, eta: 8:50:00, time: 0.202, data_time: 0.007, memory: 52540, decode.loss_ce: 0.0390, decode.acc_seg: 89.2068, decode.kl_loss: 0.0537, loss: 0.0928 +2023-03-06 01:29:17,387 - mmseg - INFO - Iter [32800/160000] lr: 7.500e-05, eta: 8:49:39, time: 0.206, data_time: 0.007, memory: 52540, decode.loss_ce: 0.0388, decode.acc_seg: 89.4076, decode.kl_loss: 0.0535, loss: 0.0923 +2023-03-06 01:29:29,716 - mmseg - INFO - Iter [32850/160000] lr: 7.500e-05, eta: 8:49:26, time: 0.247, data_time: 0.055, memory: 52540, decode.loss_ce: 0.0403, decode.acc_seg: 89.0277, decode.kl_loss: 0.0539, loss: 0.0943 +2023-03-06 01:29:39,787 - mmseg - INFO - Iter [32900/160000] lr: 7.500e-05, eta: 8:49:04, time: 0.201, data_time: 0.007, memory: 52540, decode.loss_ce: 0.0437, decode.acc_seg: 88.0513, decode.kl_loss: 0.0614, loss: 0.1051 +2023-03-06 01:29:49,831 - mmseg - INFO - Iter [32950/160000] lr: 7.500e-05, eta: 8:48:42, time: 0.201, data_time: 0.007, memory: 52540, decode.loss_ce: 0.0428, decode.acc_seg: 87.8435, decode.kl_loss: 0.0611, loss: 0.1040 +2023-03-06 01:29:59,814 - mmseg - INFO - Exp name: ablation_segformer_mit_b2_segformer_head_unet_fc_small_multi_step_ade_pretrained_freeze_embed_160k_ade20k151_finetune_ema_ce.py +2023-03-06 01:29:59,814 - mmseg - INFO - Iter [33000/160000] lr: 7.500e-05, eta: 8:48:20, time: 0.200, data_time: 0.007, memory: 52540, decode.loss_ce: 0.0385, decode.acc_seg: 89.4765, decode.kl_loss: 0.0561, loss: 0.0946 +2023-03-06 01:30:09,758 - mmseg - INFO - Iter [33050/160000] lr: 7.500e-05, eta: 8:47:58, time: 0.199, data_time: 0.007, memory: 52540, decode.loss_ce: 0.0756, decode.acc_seg: 81.5972, decode.kl_loss: 0.0879, loss: 0.1634 +2023-03-06 01:30:19,900 - mmseg - INFO - Iter [33100/160000] lr: 7.500e-05, eta: 8:47:37, time: 0.203, data_time: 0.007, memory: 52540, decode.loss_ce: 0.0428, decode.acc_seg: 88.0802, decode.kl_loss: 0.0640, loss: 0.1068 +2023-03-06 01:30:29,857 - mmseg - INFO - Iter [33150/160000] lr: 7.500e-05, eta: 8:47:15, time: 0.199, data_time: 0.007, memory: 52540, decode.loss_ce: 0.0574, decode.acc_seg: 84.8276, decode.kl_loss: 0.0664, loss: 0.1238 +2023-03-06 01:30:39,856 - mmseg - INFO - Iter [33200/160000] lr: 7.500e-05, eta: 8:46:53, time: 0.200, data_time: 0.007, memory: 52540, decode.loss_ce: 0.0375, decode.acc_seg: 89.6031, decode.kl_loss: 0.0546, loss: 0.0920 +2023-03-06 01:30:49,782 - mmseg - INFO - Iter [33250/160000] lr: 7.500e-05, eta: 8:46:31, time: 0.199, data_time: 0.007, memory: 52540, decode.loss_ce: 0.0384, decode.acc_seg: 89.6459, decode.kl_loss: 0.0538, loss: 0.0923 +2023-03-06 01:30:59,741 - mmseg - INFO - Iter [33300/160000] lr: 7.500e-05, eta: 8:46:09, time: 0.199, data_time: 0.007, memory: 52540, decode.loss_ce: 0.0392, decode.acc_seg: 89.4329, decode.kl_loss: 0.0525, loss: 0.0917 +2023-03-06 01:31:09,645 - mmseg - INFO - Iter [33350/160000] lr: 7.500e-05, eta: 8:45:46, time: 0.198, data_time: 0.007, memory: 52540, decode.loss_ce: 0.0398, decode.acc_seg: 89.2922, decode.kl_loss: 0.0589, loss: 0.0987 +2023-03-06 01:31:19,864 - mmseg - INFO - Iter [33400/160000] lr: 7.500e-05, eta: 8:45:25, time: 0.204, data_time: 0.007, memory: 52540, decode.loss_ce: 0.0461, decode.acc_seg: 87.6391, decode.kl_loss: 0.0639, loss: 0.1099 +2023-03-06 01:31:32,382 - mmseg - INFO - Iter [33450/160000] lr: 7.500e-05, eta: 8:45:13, time: 0.250, data_time: 0.056, memory: 52540, decode.loss_ce: 0.0455, decode.acc_seg: 87.7700, decode.kl_loss: 0.0623, loss: 0.1079 +2023-03-06 01:31:42,526 - mmseg - INFO - Iter [33500/160000] lr: 7.500e-05, eta: 8:44:52, time: 0.203, data_time: 0.007, memory: 52540, decode.loss_ce: 0.0426, decode.acc_seg: 88.5477, decode.kl_loss: 0.0577, loss: 0.1002 +2023-03-06 01:31:52,613 - mmseg - INFO - Iter [33550/160000] lr: 7.500e-05, eta: 8:44:31, time: 0.202, data_time: 0.007, memory: 52540, decode.loss_ce: 0.0486, decode.acc_seg: 87.0326, decode.kl_loss: 0.0665, loss: 0.1151 +2023-03-06 01:32:02,808 - mmseg - INFO - Iter [33600/160000] lr: 7.500e-05, eta: 8:44:10, time: 0.204, data_time: 0.007, memory: 52540, decode.loss_ce: 0.0473, decode.acc_seg: 87.2962, decode.kl_loss: 0.0626, loss: 0.1099 +2023-03-06 01:32:13,047 - mmseg - INFO - Iter [33650/160000] lr: 7.500e-05, eta: 8:43:49, time: 0.205, data_time: 0.007, memory: 52540, decode.loss_ce: 0.0415, decode.acc_seg: 88.5951, decode.kl_loss: 0.0575, loss: 0.0990 +2023-03-06 01:32:23,265 - mmseg - INFO - Iter [33700/160000] lr: 7.500e-05, eta: 8:43:28, time: 0.204, data_time: 0.007, memory: 52540, decode.loss_ce: 0.0445, decode.acc_seg: 88.0744, decode.kl_loss: 0.0707, loss: 0.1151 +2023-03-06 01:32:33,494 - mmseg - INFO - Iter [33750/160000] lr: 7.500e-05, eta: 8:43:08, time: 0.205, data_time: 0.007, memory: 52540, decode.loss_ce: 0.0435, decode.acc_seg: 88.2338, decode.kl_loss: 0.0656, loss: 0.1090 +2023-03-06 01:32:43,565 - mmseg - INFO - Iter [33800/160000] lr: 7.500e-05, eta: 8:42:46, time: 0.201, data_time: 0.007, memory: 52540, decode.loss_ce: 0.0407, decode.acc_seg: 89.0101, decode.kl_loss: 0.0621, loss: 0.1029 +2023-03-06 01:32:53,737 - mmseg - INFO - Iter [33850/160000] lr: 7.500e-05, eta: 8:42:26, time: 0.203, data_time: 0.007, memory: 52540, decode.loss_ce: 0.0470, decode.acc_seg: 87.5139, decode.kl_loss: 0.0658, loss: 0.1128 +2023-03-06 01:33:03,607 - mmseg - INFO - Iter [33900/160000] lr: 7.500e-05, eta: 8:42:04, time: 0.197, data_time: 0.007, memory: 52540, decode.loss_ce: 0.0391, decode.acc_seg: 89.3779, decode.kl_loss: 0.0558, loss: 0.0949 +2023-03-06 01:33:13,802 - mmseg - INFO - Iter [33950/160000] lr: 7.500e-05, eta: 8:41:43, time: 0.204, data_time: 0.007, memory: 52540, decode.loss_ce: 0.0372, decode.acc_seg: 89.9005, decode.kl_loss: 0.0512, loss: 0.0884 +2023-03-06 01:33:23,839 - mmseg - INFO - Exp name: ablation_segformer_mit_b2_segformer_head_unet_fc_small_multi_step_ade_pretrained_freeze_embed_160k_ade20k151_finetune_ema_ce.py +2023-03-06 01:33:23,839 - mmseg - INFO - Iter [34000/160000] lr: 7.500e-05, eta: 8:41:22, time: 0.201, data_time: 0.007, memory: 52540, decode.loss_ce: 0.0380, decode.acc_seg: 89.6531, decode.kl_loss: 0.0516, loss: 0.0896 +2023-03-06 01:33:34,023 - mmseg - INFO - Iter [34050/160000] lr: 7.500e-05, eta: 8:41:01, time: 0.204, data_time: 0.007, memory: 52540, decode.loss_ce: 0.0367, decode.acc_seg: 89.9291, decode.kl_loss: 0.0497, loss: 0.0863 +2023-03-06 01:33:46,680 - mmseg - INFO - Iter [34100/160000] lr: 7.500e-05, eta: 8:40:50, time: 0.253, data_time: 0.055, memory: 52540, decode.loss_ce: 0.0368, decode.acc_seg: 90.0338, decode.kl_loss: 0.0499, loss: 0.0867 +2023-03-06 01:33:56,684 - mmseg - INFO - Iter [34150/160000] lr: 7.500e-05, eta: 8:40:28, time: 0.200, data_time: 0.007, memory: 52540, decode.loss_ce: 0.0378, decode.acc_seg: 89.8607, decode.kl_loss: 0.0552, loss: 0.0929 +2023-03-06 01:34:07,124 - mmseg - INFO - Iter [34200/160000] lr: 7.500e-05, eta: 8:40:09, time: 0.209, data_time: 0.008, memory: 52540, decode.loss_ce: 0.0357, decode.acc_seg: 90.1515, decode.kl_loss: 0.0492, loss: 0.0849 +2023-03-06 01:34:17,024 - mmseg - INFO - Iter [34250/160000] lr: 7.500e-05, eta: 8:39:47, time: 0.198, data_time: 0.007, memory: 52540, decode.loss_ce: 0.0361, decode.acc_seg: 90.1869, decode.kl_loss: 0.0477, loss: 0.0838 +2023-03-06 01:34:27,021 - mmseg - INFO - Iter [34300/160000] lr: 7.500e-05, eta: 8:39:26, time: 0.200, data_time: 0.007, memory: 52540, decode.loss_ce: 0.0368, decode.acc_seg: 90.0103, decode.kl_loss: 0.0476, loss: 0.0844 +2023-03-06 01:34:37,154 - mmseg - INFO - Iter [34350/160000] lr: 7.500e-05, eta: 8:39:05, time: 0.203, data_time: 0.007, memory: 52540, decode.loss_ce: 0.0371, decode.acc_seg: 89.9036, decode.kl_loss: 0.0529, loss: 0.0901 +2023-03-06 01:34:47,487 - mmseg - INFO - Iter [34400/160000] lr: 7.500e-05, eta: 8:38:45, time: 0.207, data_time: 0.008, memory: 52540, decode.loss_ce: 0.0415, decode.acc_seg: 88.5434, decode.kl_loss: 0.0632, loss: 0.1048 +2023-03-06 01:34:57,406 - mmseg - INFO - Iter [34450/160000] lr: 7.500e-05, eta: 8:38:24, time: 0.198, data_time: 0.007, memory: 52540, decode.loss_ce: 0.0412, decode.acc_seg: 88.9750, decode.kl_loss: 0.0567, loss: 0.0980 +2023-03-06 01:35:07,471 - mmseg - INFO - Iter [34500/160000] lr: 7.500e-05, eta: 8:38:03, time: 0.201, data_time: 0.007, memory: 52540, decode.loss_ce: 0.0393, decode.acc_seg: 89.3905, decode.kl_loss: 0.0524, loss: 0.0917 +2023-03-06 01:35:17,554 - mmseg - INFO - Iter [34550/160000] lr: 7.500e-05, eta: 8:37:42, time: 0.202, data_time: 0.007, memory: 52540, decode.loss_ce: 0.0371, decode.acc_seg: 89.9670, decode.kl_loss: 0.0487, loss: 0.0858 +2023-03-06 01:35:27,729 - mmseg - INFO - Iter [34600/160000] lr: 7.500e-05, eta: 8:37:22, time: 0.204, data_time: 0.007, memory: 52540, decode.loss_ce: 0.0361, decode.acc_seg: 90.0656, decode.kl_loss: 0.0486, loss: 0.0846 +2023-03-06 01:35:37,743 - mmseg - INFO - Iter [34650/160000] lr: 7.500e-05, eta: 8:37:01, time: 0.200, data_time: 0.007, memory: 52540, decode.loss_ce: 0.0366, decode.acc_seg: 89.9024, decode.kl_loss: 0.0496, loss: 0.0862 +2023-03-06 01:35:47,800 - mmseg - INFO - Iter [34700/160000] lr: 7.500e-05, eta: 8:36:40, time: 0.201, data_time: 0.007, memory: 52540, decode.loss_ce: 0.0396, decode.acc_seg: 89.1535, decode.kl_loss: 0.0535, loss: 0.0931 +2023-03-06 01:36:00,229 - mmseg - INFO - Iter [34750/160000] lr: 7.500e-05, eta: 8:36:28, time: 0.249, data_time: 0.056, memory: 52540, decode.loss_ce: 0.0386, decode.acc_seg: 89.3413, decode.kl_loss: 0.0526, loss: 0.0911 +2023-03-06 01:36:10,187 - mmseg - INFO - Iter [34800/160000] lr: 7.500e-05, eta: 8:36:07, time: 0.199, data_time: 0.007, memory: 52540, decode.loss_ce: 0.0376, decode.acc_seg: 89.7040, decode.kl_loss: 0.0504, loss: 0.0880 +2023-03-06 01:36:20,294 - mmseg - INFO - Iter [34850/160000] lr: 7.500e-05, eta: 8:35:47, time: 0.202, data_time: 0.007, memory: 52540, decode.loss_ce: 0.0390, decode.acc_seg: 89.3019, decode.kl_loss: 0.0532, loss: 0.0922 +2023-03-06 01:36:30,403 - mmseg - INFO - Iter [34900/160000] lr: 7.500e-05, eta: 8:35:26, time: 0.202, data_time: 0.007, memory: 52540, decode.loss_ce: 0.0363, decode.acc_seg: 89.9594, decode.kl_loss: 0.0517, loss: 0.0879 +2023-03-06 01:36:40,407 - mmseg - INFO - Iter [34950/160000] lr: 7.500e-05, eta: 8:35:05, time: 0.200, data_time: 0.007, memory: 52540, decode.loss_ce: 0.0384, decode.acc_seg: 89.5180, decode.kl_loss: 0.0540, loss: 0.0924 +2023-03-06 01:36:50,567 - mmseg - INFO - Exp name: ablation_segformer_mit_b2_segformer_head_unet_fc_small_multi_step_ade_pretrained_freeze_embed_160k_ade20k151_finetune_ema_ce.py +2023-03-06 01:36:50,567 - mmseg - INFO - Iter [35000/160000] lr: 7.500e-05, eta: 8:34:45, time: 0.203, data_time: 0.007, memory: 52540, decode.loss_ce: 0.0402, decode.acc_seg: 88.9057, decode.kl_loss: 0.0564, loss: 0.0966 +2023-03-06 01:37:00,700 - mmseg - INFO - Iter [35050/160000] lr: 7.500e-05, eta: 8:34:25, time: 0.202, data_time: 0.007, memory: 52540, decode.loss_ce: 0.0385, decode.acc_seg: 89.5053, decode.kl_loss: 0.0539, loss: 0.0924 +2023-03-06 01:37:11,141 - mmseg - INFO - Iter [35100/160000] lr: 7.500e-05, eta: 8:34:06, time: 0.209, data_time: 0.007, memory: 52540, decode.loss_ce: 0.0360, decode.acc_seg: 89.9744, decode.kl_loss: 0.0511, loss: 0.0870 +2023-03-06 01:37:21,205 - mmseg - INFO - Iter [35150/160000] lr: 7.500e-05, eta: 8:33:45, time: 0.201, data_time: 0.007, memory: 52540, decode.loss_ce: 0.0371, decode.acc_seg: 89.8819, decode.kl_loss: 0.0491, loss: 0.0862 +2023-03-06 01:37:31,335 - mmseg - INFO - Iter [35200/160000] lr: 7.500e-05, eta: 8:33:25, time: 0.203, data_time: 0.007, memory: 52540, decode.loss_ce: 0.0389, decode.acc_seg: 89.6183, decode.kl_loss: 0.0500, loss: 0.0889 +2023-03-06 01:37:41,232 - mmseg - INFO - Iter [35250/160000] lr: 7.500e-05, eta: 8:33:04, time: 0.198, data_time: 0.007, memory: 52540, decode.loss_ce: 0.0385, decode.acc_seg: 89.5002, decode.kl_loss: 0.0520, loss: 0.0905 +2023-03-06 01:37:51,609 - mmseg - INFO - Iter [35300/160000] lr: 7.500e-05, eta: 8:32:45, time: 0.208, data_time: 0.008, memory: 52540, decode.loss_ce: 0.0362, decode.acc_seg: 89.9254, decode.kl_loss: 0.0524, loss: 0.0887 +2023-03-06 01:38:04,206 - mmseg - INFO - Iter [35350/160000] lr: 7.500e-05, eta: 8:32:33, time: 0.252, data_time: 0.056, memory: 52540, decode.loss_ce: 0.0428, decode.acc_seg: 88.3757, decode.kl_loss: 0.0649, loss: 0.1077 +2023-03-06 01:38:14,366 - mmseg - INFO - Iter [35400/160000] lr: 7.500e-05, eta: 8:32:13, time: 0.203, data_time: 0.007, memory: 52540, decode.loss_ce: 0.0398, decode.acc_seg: 89.0336, decode.kl_loss: 0.0573, loss: 0.0970 +2023-03-06 01:38:24,425 - mmseg - INFO - Iter [35450/160000] lr: 7.500e-05, eta: 8:31:53, time: 0.201, data_time: 0.007, memory: 52540, decode.loss_ce: 0.0417, decode.acc_seg: 88.6846, decode.kl_loss: 0.0599, loss: 0.1016 +2023-03-06 01:38:34,540 - mmseg - INFO - Iter [35500/160000] lr: 7.500e-05, eta: 8:31:33, time: 0.202, data_time: 0.007, memory: 52540, decode.loss_ce: 0.0436, decode.acc_seg: 88.3806, decode.kl_loss: 0.0617, loss: 0.1053 +2023-03-06 01:38:44,752 - mmseg - INFO - Iter [35550/160000] lr: 7.500e-05, eta: 8:31:13, time: 0.204, data_time: 0.007, memory: 52540, decode.loss_ce: 0.0383, decode.acc_seg: 89.6364, decode.kl_loss: 0.0537, loss: 0.0921 +2023-03-06 01:38:54,708 - mmseg - INFO - Iter [35600/160000] lr: 7.500e-05, eta: 8:30:53, time: 0.199, data_time: 0.007, memory: 52540, decode.loss_ce: 0.0366, decode.acc_seg: 89.7901, decode.kl_loss: 0.0511, loss: 0.0878 +2023-03-06 01:39:04,808 - mmseg - INFO - Iter [35650/160000] lr: 7.500e-05, eta: 8:30:33, time: 0.202, data_time: 0.007, memory: 52540, decode.loss_ce: 0.0394, decode.acc_seg: 89.2426, decode.kl_loss: 0.0526, loss: 0.0920 +2023-03-06 01:39:14,804 - mmseg - INFO - Iter [35700/160000] lr: 7.500e-05, eta: 8:30:12, time: 0.200, data_time: 0.007, memory: 52540, decode.loss_ce: 0.0388, decode.acc_seg: 89.4913, decode.kl_loss: 0.0527, loss: 0.0915 +2023-03-06 01:39:25,009 - mmseg - INFO - Iter [35750/160000] lr: 7.500e-05, eta: 8:29:52, time: 0.204, data_time: 0.007, memory: 52540, decode.loss_ce: 0.0405, decode.acc_seg: 89.0162, decode.kl_loss: 0.0575, loss: 0.0979 +2023-03-06 01:39:35,010 - mmseg - INFO - Iter [35800/160000] lr: 7.500e-05, eta: 8:29:32, time: 0.200, data_time: 0.007, memory: 52540, decode.loss_ce: 0.0405, decode.acc_seg: 89.1011, decode.kl_loss: 0.0567, loss: 0.0971 +2023-03-06 01:39:44,984 - mmseg - INFO - Iter [35850/160000] lr: 7.500e-05, eta: 8:29:12, time: 0.199, data_time: 0.007, memory: 52540, decode.loss_ce: 0.0395, decode.acc_seg: 89.2488, decode.kl_loss: 0.0551, loss: 0.0946 +2023-03-06 01:39:55,116 - mmseg - INFO - Iter [35900/160000] lr: 7.500e-05, eta: 8:28:52, time: 0.203, data_time: 0.007, memory: 52540, decode.loss_ce: 0.0379, decode.acc_seg: 89.6385, decode.kl_loss: 0.0517, loss: 0.0896 +2023-03-06 01:40:05,223 - mmseg - INFO - Iter [35950/160000] lr: 7.500e-05, eta: 8:28:32, time: 0.202, data_time: 0.007, memory: 52540, decode.loss_ce: 0.0392, decode.acc_seg: 89.3501, decode.kl_loss: 0.0585, loss: 0.0977 +2023-03-06 01:40:17,782 - mmseg - INFO - Exp name: ablation_segformer_mit_b2_segformer_head_unet_fc_small_multi_step_ade_pretrained_freeze_embed_160k_ade20k151_finetune_ema_ce.py +2023-03-06 01:40:17,782 - mmseg - INFO - Iter [36000/160000] lr: 7.500e-05, eta: 8:28:21, time: 0.251, data_time: 0.053, memory: 52540, decode.loss_ce: 0.0420, decode.acc_seg: 88.6158, decode.kl_loss: 0.0612, loss: 0.1032 +2023-03-06 01:40:27,744 - mmseg - INFO - Iter [36050/160000] lr: 7.500e-05, eta: 8:28:00, time: 0.199, data_time: 0.007, memory: 52540, decode.loss_ce: 0.0428, decode.acc_seg: 88.3302, decode.kl_loss: 0.0634, loss: 0.1062 +2023-03-06 01:40:37,702 - mmseg - INFO - Iter [36100/160000] lr: 7.500e-05, eta: 8:27:40, time: 0.199, data_time: 0.007, memory: 52540, decode.loss_ce: 0.0511, decode.acc_seg: 86.5362, decode.kl_loss: 0.0688, loss: 0.1199 +2023-03-06 01:40:47,768 - mmseg - INFO - Iter [36150/160000] lr: 7.500e-05, eta: 8:27:20, time: 0.201, data_time: 0.007, memory: 52540, decode.loss_ce: 0.0432, decode.acc_seg: 88.2158, decode.kl_loss: 0.0648, loss: 0.1081 +2023-03-06 01:40:57,658 - mmseg - INFO - Iter [36200/160000] lr: 7.500e-05, eta: 8:27:00, time: 0.198, data_time: 0.007, memory: 52540, decode.loss_ce: 0.0423, decode.acc_seg: 88.7180, decode.kl_loss: 0.0572, loss: 0.0995 +2023-03-06 01:41:07,734 - mmseg - INFO - Iter [36250/160000] lr: 7.500e-05, eta: 8:26:40, time: 0.202, data_time: 0.007, memory: 52540, decode.loss_ce: 0.0381, decode.acc_seg: 89.5693, decode.kl_loss: 0.0518, loss: 0.0899 +2023-03-06 01:41:17,957 - mmseg - INFO - Iter [36300/160000] lr: 7.500e-05, eta: 8:26:20, time: 0.204, data_time: 0.007, memory: 52540, decode.loss_ce: 0.0400, decode.acc_seg: 89.1018, decode.kl_loss: 0.0543, loss: 0.0943 +2023-03-06 01:41:28,410 - mmseg - INFO - Iter [36350/160000] lr: 7.500e-05, eta: 8:26:02, time: 0.209, data_time: 0.007, memory: 52540, decode.loss_ce: 0.0365, decode.acc_seg: 90.0151, decode.kl_loss: 0.0488, loss: 0.0853 +2023-03-06 01:41:38,988 - mmseg - INFO - Iter [36400/160000] lr: 7.500e-05, eta: 8:25:44, time: 0.211, data_time: 0.007, memory: 52540, decode.loss_ce: 0.0366, decode.acc_seg: 90.1260, decode.kl_loss: 0.0491, loss: 0.0857 +2023-03-06 01:41:49,089 - mmseg - INFO - Iter [36450/160000] lr: 7.500e-05, eta: 8:25:24, time: 0.202, data_time: 0.008, memory: 52540, decode.loss_ce: 0.0375, decode.acc_seg: 89.6402, decode.kl_loss: 0.0511, loss: 0.0886 +2023-03-06 01:41:59,197 - mmseg - INFO - Iter [36500/160000] lr: 7.500e-05, eta: 8:25:05, time: 0.202, data_time: 0.007, memory: 52540, decode.loss_ce: 0.0374, decode.acc_seg: 89.7900, decode.kl_loss: 0.0504, loss: 0.0878 +2023-03-06 01:42:09,322 - mmseg - INFO - Iter [36550/160000] lr: 7.500e-05, eta: 8:24:45, time: 0.202, data_time: 0.007, memory: 52540, decode.loss_ce: 0.0378, decode.acc_seg: 90.0056, decode.kl_loss: 0.0502, loss: 0.0880 +2023-03-06 01:42:21,960 - mmseg - INFO - Iter [36600/160000] lr: 7.500e-05, eta: 8:24:34, time: 0.253, data_time: 0.055, memory: 52540, decode.loss_ce: 0.0366, decode.acc_seg: 89.9658, decode.kl_loss: 0.0509, loss: 0.0874 +2023-03-06 01:42:31,924 - mmseg - INFO - Iter [36650/160000] lr: 7.500e-05, eta: 8:24:14, time: 0.199, data_time: 0.007, memory: 52540, decode.loss_ce: 0.0380, decode.acc_seg: 89.7206, decode.kl_loss: 0.0524, loss: 0.0904 +2023-03-06 01:42:41,853 - mmseg - INFO - Iter [36700/160000] lr: 7.500e-05, eta: 8:23:54, time: 0.199, data_time: 0.007, memory: 52540, decode.loss_ce: 0.0358, decode.acc_seg: 90.0312, decode.kl_loss: 0.0519, loss: 0.0877 +2023-03-06 01:42:52,284 - mmseg - INFO - Iter [36750/160000] lr: 7.500e-05, eta: 8:23:36, time: 0.209, data_time: 0.007, memory: 52540, decode.loss_ce: 0.0364, decode.acc_seg: 89.9174, decode.kl_loss: 0.0517, loss: 0.0881 +2023-03-06 01:43:02,391 - mmseg - INFO - Iter [36800/160000] lr: 7.500e-05, eta: 8:23:16, time: 0.202, data_time: 0.007, memory: 52540, decode.loss_ce: 0.0370, decode.acc_seg: 90.0889, decode.kl_loss: 0.0492, loss: 0.0863 +2023-03-06 01:43:12,591 - mmseg - INFO - Iter [36850/160000] lr: 7.500e-05, eta: 8:22:57, time: 0.204, data_time: 0.007, memory: 52540, decode.loss_ce: 0.0372, decode.acc_seg: 89.9733, decode.kl_loss: 0.0488, loss: 0.0860 +2023-03-06 01:43:22,581 - mmseg - INFO - Iter [36900/160000] lr: 7.500e-05, eta: 8:22:37, time: 0.200, data_time: 0.007, memory: 52540, decode.loss_ce: 0.0374, decode.acc_seg: 89.9971, decode.kl_loss: 0.0495, loss: 0.0869 +2023-03-06 01:43:32,790 - mmseg - INFO - Iter [36950/160000] lr: 7.500e-05, eta: 8:22:18, time: 0.204, data_time: 0.007, memory: 52540, decode.loss_ce: 0.0363, decode.acc_seg: 90.1551, decode.kl_loss: 0.0497, loss: 0.0860 +2023-03-06 01:43:42,878 - mmseg - INFO - Exp name: ablation_segformer_mit_b2_segformer_head_unet_fc_small_multi_step_ade_pretrained_freeze_embed_160k_ade20k151_finetune_ema_ce.py +2023-03-06 01:43:42,878 - mmseg - INFO - Iter [37000/160000] lr: 7.500e-05, eta: 8:21:59, time: 0.202, data_time: 0.007, memory: 52540, decode.loss_ce: 0.0356, decode.acc_seg: 90.1403, decode.kl_loss: 0.0479, loss: 0.0835 +2023-03-06 01:43:52,793 - mmseg - INFO - Iter [37050/160000] lr: 7.500e-05, eta: 8:21:39, time: 0.198, data_time: 0.007, memory: 52540, decode.loss_ce: 0.0354, decode.acc_seg: 90.2939, decode.kl_loss: 0.0488, loss: 0.0842 +2023-03-06 01:44:03,238 - mmseg - INFO - Iter [37100/160000] lr: 7.500e-05, eta: 8:21:21, time: 0.209, data_time: 0.007, memory: 52540, decode.loss_ce: 0.0378, decode.acc_seg: 89.7631, decode.kl_loss: 0.0512, loss: 0.0891 +2023-03-06 01:44:13,840 - mmseg - INFO - Iter [37150/160000] lr: 7.500e-05, eta: 8:21:03, time: 0.212, data_time: 0.007, memory: 52540, decode.loss_ce: 0.0365, decode.acc_seg: 89.9008, decode.kl_loss: 0.0530, loss: 0.0895 +2023-03-06 01:44:23,985 - mmseg - INFO - Iter [37200/160000] lr: 7.500e-05, eta: 8:20:44, time: 0.203, data_time: 0.007, memory: 52540, decode.loss_ce: 0.0405, decode.acc_seg: 89.1817, decode.kl_loss: 0.0580, loss: 0.0984 +2023-03-06 01:44:36,666 - mmseg - INFO - Iter [37250/160000] lr: 7.500e-05, eta: 8:20:33, time: 0.254, data_time: 0.054, memory: 52540, decode.loss_ce: 0.0368, decode.acc_seg: 89.8401, decode.kl_loss: 0.0516, loss: 0.0884 +2023-03-06 01:44:46,799 - mmseg - INFO - Iter [37300/160000] lr: 7.500e-05, eta: 8:20:14, time: 0.203, data_time: 0.007, memory: 52540, decode.loss_ce: 0.0355, decode.acc_seg: 90.2552, decode.kl_loss: 0.0534, loss: 0.0888 +2023-03-06 01:44:56,776 - mmseg - INFO - Iter [37350/160000] lr: 7.500e-05, eta: 8:19:54, time: 0.200, data_time: 0.007, memory: 52540, decode.loss_ce: 0.0421, decode.acc_seg: 88.6820, decode.kl_loss: 0.0578, loss: 0.0999 +2023-03-06 01:45:06,876 - mmseg - INFO - Iter [37400/160000] lr: 7.500e-05, eta: 8:19:35, time: 0.202, data_time: 0.007, memory: 52540, decode.loss_ce: 0.0374, decode.acc_seg: 89.8201, decode.kl_loss: 0.0529, loss: 0.0902 +2023-03-06 01:45:17,079 - mmseg - INFO - Iter [37450/160000] lr: 7.500e-05, eta: 8:19:16, time: 0.204, data_time: 0.007, memory: 52540, decode.loss_ce: 0.0380, decode.acc_seg: 89.8140, decode.kl_loss: 0.0514, loss: 0.0894 +2023-03-06 01:45:27,123 - mmseg - INFO - Iter [37500/160000] lr: 7.500e-05, eta: 8:18:57, time: 0.201, data_time: 0.007, memory: 52540, decode.loss_ce: 0.0368, decode.acc_seg: 89.8580, decode.kl_loss: 0.0557, loss: 0.0924 +2023-03-06 01:45:37,140 - mmseg - INFO - Iter [37550/160000] lr: 7.500e-05, eta: 8:18:38, time: 0.200, data_time: 0.007, memory: 52540, decode.loss_ce: 0.0390, decode.acc_seg: 89.2452, decode.kl_loss: 0.0571, loss: 0.0961 +2023-03-06 01:45:47,108 - mmseg - INFO - Iter [37600/160000] lr: 7.500e-05, eta: 8:18:18, time: 0.199, data_time: 0.007, memory: 52540, decode.loss_ce: 0.0393, decode.acc_seg: 89.3590, decode.kl_loss: 0.0554, loss: 0.0946 +2023-03-06 01:45:57,374 - mmseg - INFO - Iter [37650/160000] lr: 7.500e-05, eta: 8:17:59, time: 0.205, data_time: 0.007, memory: 52540, decode.loss_ce: 0.0375, decode.acc_seg: 89.6346, decode.kl_loss: 0.0568, loss: 0.0943 +2023-03-06 01:46:07,523 - mmseg - INFO - Iter [37700/160000] lr: 7.500e-05, eta: 8:17:41, time: 0.203, data_time: 0.007, memory: 52540, decode.loss_ce: 0.0391, decode.acc_seg: 89.4124, decode.kl_loss: 0.0572, loss: 0.0963 +2023-03-06 01:46:17,887 - mmseg - INFO - Iter [37750/160000] lr: 7.500e-05, eta: 8:17:22, time: 0.207, data_time: 0.007, memory: 52540, decode.loss_ce: 0.0369, decode.acc_seg: 89.9052, decode.kl_loss: 0.0520, loss: 0.0890 +2023-03-06 01:46:27,975 - mmseg - INFO - Iter [37800/160000] lr: 7.500e-05, eta: 8:17:03, time: 0.201, data_time: 0.007, memory: 52540, decode.loss_ce: 0.0372, decode.acc_seg: 89.7394, decode.kl_loss: 0.0549, loss: 0.0922 +2023-03-06 01:46:38,029 - mmseg - INFO - Iter [37850/160000] lr: 7.500e-05, eta: 8:16:44, time: 0.201, data_time: 0.008, memory: 52540, decode.loss_ce: 0.0378, decode.acc_seg: 89.7668, decode.kl_loss: 0.0548, loss: 0.0926 +2023-03-06 01:46:50,777 - mmseg - INFO - Iter [37900/160000] lr: 7.500e-05, eta: 8:16:34, time: 0.255, data_time: 0.053, memory: 52540, decode.loss_ce: 0.0382, decode.acc_seg: 89.5529, decode.kl_loss: 0.0529, loss: 0.0911 +2023-03-06 01:47:00,795 - mmseg - INFO - Iter [37950/160000] lr: 7.500e-05, eta: 8:16:14, time: 0.200, data_time: 0.007, memory: 52540, decode.loss_ce: 0.0371, decode.acc_seg: 89.9631, decode.kl_loss: 0.0507, loss: 0.0878 +2023-03-06 01:47:10,867 - mmseg - INFO - Exp name: ablation_segformer_mit_b2_segformer_head_unet_fc_small_multi_step_ade_pretrained_freeze_embed_160k_ade20k151_finetune_ema_ce.py +2023-03-06 01:47:10,867 - mmseg - INFO - Iter [38000/160000] lr: 7.500e-05, eta: 8:15:55, time: 0.201, data_time: 0.007, memory: 52540, decode.loss_ce: 0.0377, decode.acc_seg: 89.8737, decode.kl_loss: 0.0537, loss: 0.0914 +2023-03-06 01:47:20,918 - mmseg - INFO - Iter [38050/160000] lr: 7.500e-05, eta: 8:15:36, time: 0.201, data_time: 0.007, memory: 52540, decode.loss_ce: 0.0383, decode.acc_seg: 89.7543, decode.kl_loss: 0.0561, loss: 0.0944 +2023-03-06 01:47:31,010 - mmseg - INFO - Iter [38100/160000] lr: 7.500e-05, eta: 8:15:17, time: 0.202, data_time: 0.007, memory: 52540, decode.loss_ce: 0.0381, decode.acc_seg: 89.4887, decode.kl_loss: 0.0547, loss: 0.0928 +2023-03-06 01:47:41,031 - mmseg - INFO - Iter [38150/160000] lr: 7.500e-05, eta: 8:14:58, time: 0.200, data_time: 0.007, memory: 52540, decode.loss_ce: 0.0385, decode.acc_seg: 89.4754, decode.kl_loss: 0.0560, loss: 0.0945 +2023-03-06 01:47:50,987 - mmseg - INFO - Iter [38200/160000] lr: 7.500e-05, eta: 8:14:39, time: 0.199, data_time: 0.007, memory: 52540, decode.loss_ce: 0.0379, decode.acc_seg: 89.6623, decode.kl_loss: 0.0529, loss: 0.0908 +2023-03-06 01:48:01,574 - mmseg - INFO - Iter [38250/160000] lr: 7.500e-05, eta: 8:14:22, time: 0.212, data_time: 0.007, memory: 52540, decode.loss_ce: 0.0358, decode.acc_seg: 90.0438, decode.kl_loss: 0.0526, loss: 0.0884 +2023-03-06 01:48:11,670 - mmseg - INFO - Iter [38300/160000] lr: 7.500e-05, eta: 8:14:03, time: 0.202, data_time: 0.007, memory: 52540, decode.loss_ce: 0.0378, decode.acc_seg: 89.5490, decode.kl_loss: 0.0575, loss: 0.0953 +2023-03-06 01:48:21,730 - mmseg - INFO - Iter [38350/160000] lr: 7.500e-05, eta: 8:13:44, time: 0.201, data_time: 0.007, memory: 52540, decode.loss_ce: 0.0382, decode.acc_seg: 89.5926, decode.kl_loss: 0.0579, loss: 0.0961 +2023-03-06 01:48:31,798 - mmseg - INFO - Iter [38400/160000] lr: 7.500e-05, eta: 8:13:25, time: 0.201, data_time: 0.007, memory: 52540, decode.loss_ce: 0.0417, decode.acc_seg: 88.7773, decode.kl_loss: 0.0604, loss: 0.1020 +2023-03-06 01:48:41,941 - mmseg - INFO - Iter [38450/160000] lr: 7.500e-05, eta: 8:13:07, time: 0.203, data_time: 0.007, memory: 52540, decode.loss_ce: 0.0383, decode.acc_seg: 89.3478, decode.kl_loss: 0.0583, loss: 0.0966 +2023-03-06 01:48:54,444 - mmseg - INFO - Iter [38500/160000] lr: 7.500e-05, eta: 8:12:56, time: 0.250, data_time: 0.055, memory: 52540, decode.loss_ce: 0.0366, decode.acc_seg: 89.7614, decode.kl_loss: 0.0534, loss: 0.0900 +2023-03-06 01:49:04,364 - mmseg - INFO - Iter [38550/160000] lr: 7.500e-05, eta: 8:12:36, time: 0.198, data_time: 0.007, memory: 52540, decode.loss_ce: 0.0383, decode.acc_seg: 89.3909, decode.kl_loss: 0.0549, loss: 0.0932 +2023-03-06 01:49:14,312 - mmseg - INFO - Iter [38600/160000] lr: 7.500e-05, eta: 8:12:17, time: 0.199, data_time: 0.007, memory: 52540, decode.loss_ce: 0.0374, decode.acc_seg: 89.6849, decode.kl_loss: 0.0576, loss: 0.0949 +2023-03-06 01:49:24,294 - mmseg - INFO - Iter [38650/160000] lr: 7.500e-05, eta: 8:11:58, time: 0.200, data_time: 0.007, memory: 52540, decode.loss_ce: 0.0375, decode.acc_seg: 89.7505, decode.kl_loss: 0.0537, loss: 0.0912 +2023-03-06 01:49:34,210 - mmseg - INFO - Iter [38700/160000] lr: 7.500e-05, eta: 8:11:39, time: 0.198, data_time: 0.007, memory: 52540, decode.loss_ce: 0.0375, decode.acc_seg: 89.8614, decode.kl_loss: 0.0530, loss: 0.0905 +2023-03-06 01:49:44,187 - mmseg - INFO - Iter [38750/160000] lr: 7.500e-05, eta: 8:11:20, time: 0.200, data_time: 0.007, memory: 52540, decode.loss_ce: 0.0355, decode.acc_seg: 90.0774, decode.kl_loss: 0.0523, loss: 0.0878 +2023-03-06 01:49:54,407 - mmseg - INFO - Iter [38800/160000] lr: 7.500e-05, eta: 8:11:02, time: 0.204, data_time: 0.007, memory: 52540, decode.loss_ce: 0.0360, decode.acc_seg: 89.9754, decode.kl_loss: 0.0571, loss: 0.0931 +2023-03-06 01:50:04,471 - mmseg - INFO - Iter [38850/160000] lr: 7.500e-05, eta: 8:10:43, time: 0.202, data_time: 0.008, memory: 52540, decode.loss_ce: 0.0386, decode.acc_seg: 89.5236, decode.kl_loss: 0.0578, loss: 0.0963 +2023-03-06 01:50:14,470 - mmseg - INFO - Iter [38900/160000] lr: 7.500e-05, eta: 8:10:24, time: 0.200, data_time: 0.007, memory: 52540, decode.loss_ce: 0.0390, decode.acc_seg: 89.2620, decode.kl_loss: 0.0634, loss: 0.1024 +2023-03-06 01:50:24,537 - mmseg - INFO - Iter [38950/160000] lr: 7.500e-05, eta: 8:10:06, time: 0.201, data_time: 0.007, memory: 52540, decode.loss_ce: 0.0391, decode.acc_seg: 89.1760, decode.kl_loss: 0.0627, loss: 0.1017 +2023-03-06 01:50:34,550 - mmseg - INFO - Exp name: ablation_segformer_mit_b2_segformer_head_unet_fc_small_multi_step_ade_pretrained_freeze_embed_160k_ade20k151_finetune_ema_ce.py +2023-03-06 01:50:34,550 - mmseg - INFO - Iter [39000/160000] lr: 7.500e-05, eta: 8:09:47, time: 0.200, data_time: 0.007, memory: 52540, decode.loss_ce: 0.0378, decode.acc_seg: 89.4261, decode.kl_loss: 0.0617, loss: 0.0994 +2023-03-06 01:50:44,486 - mmseg - INFO - Iter [39050/160000] lr: 7.500e-05, eta: 8:09:28, time: 0.199, data_time: 0.007, memory: 52540, decode.loss_ce: 0.0414, decode.acc_seg: 88.6771, decode.kl_loss: 0.0655, loss: 0.1069 +2023-03-06 01:50:54,438 - mmseg - INFO - Iter [39100/160000] lr: 7.500e-05, eta: 8:09:09, time: 0.199, data_time: 0.007, memory: 52540, decode.loss_ce: 0.0413, decode.acc_seg: 88.4899, decode.kl_loss: 0.0680, loss: 0.1093 +2023-03-06 01:51:06,989 - mmseg - INFO - Iter [39150/160000] lr: 7.500e-05, eta: 8:08:58, time: 0.251, data_time: 0.053, memory: 52540, decode.loss_ce: 0.0415, decode.acc_seg: 88.6047, decode.kl_loss: 0.0697, loss: 0.1112 +2023-03-06 01:51:17,084 - mmseg - INFO - Iter [39200/160000] lr: 7.500e-05, eta: 8:08:40, time: 0.202, data_time: 0.008, memory: 52540, decode.loss_ce: 0.0391, decode.acc_seg: 89.1252, decode.kl_loss: 0.0600, loss: 0.0991 +2023-03-06 01:51:27,036 - mmseg - INFO - Iter [39250/160000] lr: 7.500e-05, eta: 8:08:21, time: 0.199, data_time: 0.007, memory: 52540, decode.loss_ce: 0.0431, decode.acc_seg: 88.3743, decode.kl_loss: 0.0652, loss: 0.1083 +2023-03-06 01:51:37,258 - mmseg - INFO - Iter [39300/160000] lr: 7.500e-05, eta: 8:08:03, time: 0.204, data_time: 0.007, memory: 52540, decode.loss_ce: 0.0392, decode.acc_seg: 89.1881, decode.kl_loss: 0.0612, loss: 0.1004 +2023-03-06 01:51:47,390 - mmseg - INFO - Iter [39350/160000] lr: 7.500e-05, eta: 8:07:44, time: 0.203, data_time: 0.007, memory: 52540, decode.loss_ce: 0.0407, decode.acc_seg: 88.9624, decode.kl_loss: 0.0623, loss: 0.1030 +2023-03-06 01:51:57,858 - mmseg - INFO - Iter [39400/160000] lr: 7.500e-05, eta: 8:07:27, time: 0.209, data_time: 0.008, memory: 52540, decode.loss_ce: 0.0402, decode.acc_seg: 88.9091, decode.kl_loss: 0.0672, loss: 0.1074 +2023-03-06 01:52:07,818 - mmseg - INFO - Iter [39450/160000] lr: 7.500e-05, eta: 8:07:09, time: 0.199, data_time: 0.007, memory: 52540, decode.loss_ce: 0.0411, decode.acc_seg: 88.8200, decode.kl_loss: 0.0621, loss: 0.1033 +2023-03-06 01:52:17,842 - mmseg - INFO - Iter [39500/160000] lr: 7.500e-05, eta: 8:06:50, time: 0.200, data_time: 0.007, memory: 52540, decode.loss_ce: 0.0382, decode.acc_seg: 89.4998, decode.kl_loss: 0.0558, loss: 0.0940 +2023-03-06 01:52:28,339 - mmseg - INFO - Iter [39550/160000] lr: 7.500e-05, eta: 8:06:33, time: 0.210, data_time: 0.007, memory: 52540, decode.loss_ce: 0.0371, decode.acc_seg: 89.7300, decode.kl_loss: 0.0571, loss: 0.0942 +2023-03-06 01:52:38,427 - mmseg - INFO - Iter [39600/160000] lr: 7.500e-05, eta: 8:06:15, time: 0.202, data_time: 0.007, memory: 52540, decode.loss_ce: 0.0395, decode.acc_seg: 89.1111, decode.kl_loss: 0.0605, loss: 0.1000 +2023-03-06 01:52:48,591 - mmseg - INFO - Iter [39650/160000] lr: 7.500e-05, eta: 8:05:57, time: 0.203, data_time: 0.007, memory: 52540, decode.loss_ce: 0.0413, decode.acc_seg: 88.7521, decode.kl_loss: 0.0627, loss: 0.1040 +2023-03-06 01:52:58,617 - mmseg - INFO - Iter [39700/160000] lr: 7.500e-05, eta: 8:05:38, time: 0.201, data_time: 0.007, memory: 52540, decode.loss_ce: 0.0394, decode.acc_seg: 89.3684, decode.kl_loss: 0.0657, loss: 0.1051 +2023-03-06 01:53:08,737 - mmseg - INFO - Iter [39750/160000] lr: 7.500e-05, eta: 8:05:20, time: 0.202, data_time: 0.007, memory: 52540, decode.loss_ce: 0.0403, decode.acc_seg: 88.9787, decode.kl_loss: 0.0660, loss: 0.1062 +2023-03-06 01:53:21,388 - mmseg - INFO - Iter [39800/160000] lr: 7.500e-05, eta: 8:05:10, time: 0.253, data_time: 0.054, memory: 52540, decode.loss_ce: 0.0418, decode.acc_seg: 88.5994, decode.kl_loss: 0.0655, loss: 0.1073 +2023-03-06 01:53:31,369 - mmseg - INFO - Iter [39850/160000] lr: 7.500e-05, eta: 8:04:51, time: 0.200, data_time: 0.007, memory: 52540, decode.loss_ce: 0.0375, decode.acc_seg: 89.5635, decode.kl_loss: 0.0561, loss: 0.0936 +2023-03-06 01:53:41,597 - mmseg - INFO - Iter [39900/160000] lr: 7.500e-05, eta: 8:04:33, time: 0.205, data_time: 0.007, memory: 52540, decode.loss_ce: 0.0401, decode.acc_seg: 89.0964, decode.kl_loss: 0.0638, loss: 0.1039 +2023-03-06 01:53:51,725 - mmseg - INFO - Iter [39950/160000] lr: 7.500e-05, eta: 8:04:15, time: 0.203, data_time: 0.007, memory: 52540, decode.loss_ce: 0.0406, decode.acc_seg: 88.8960, decode.kl_loss: 0.0718, loss: 0.1124 +2023-03-06 01:54:01,749 - mmseg - INFO - Exp name: ablation_segformer_mit_b2_segformer_head_unet_fc_small_multi_step_ade_pretrained_freeze_embed_160k_ade20k151_finetune_ema_ce.py +2023-03-06 01:54:01,749 - mmseg - INFO - Iter [40000/160000] lr: 7.500e-05, eta: 8:03:57, time: 0.200, data_time: 0.008, memory: 52540, decode.loss_ce: 0.0442, decode.acc_seg: 88.2519, decode.kl_loss: 0.0727, loss: 0.1169 +2023-03-06 01:54:12,102 - mmseg - INFO - Iter [40050/160000] lr: 3.750e-05, eta: 8:03:40, time: 0.207, data_time: 0.007, memory: 52540, decode.loss_ce: 0.0396, decode.acc_seg: 88.9154, decode.kl_loss: 0.0611, loss: 0.1007 +2023-03-06 01:54:22,189 - mmseg - INFO - Iter [40100/160000] lr: 3.750e-05, eta: 8:03:21, time: 0.202, data_time: 0.008, memory: 52540, decode.loss_ce: 0.0382, decode.acc_seg: 89.3302, decode.kl_loss: 0.0586, loss: 0.0968 +2023-03-06 01:54:32,255 - mmseg - INFO - Iter [40150/160000] lr: 3.750e-05, eta: 8:03:03, time: 0.201, data_time: 0.007, memory: 52540, decode.loss_ce: 0.0381, decode.acc_seg: 89.5082, decode.kl_loss: 0.0600, loss: 0.0981 +2023-03-06 01:54:42,193 - mmseg - INFO - Iter [40200/160000] lr: 3.750e-05, eta: 8:02:45, time: 0.199, data_time: 0.007, memory: 52540, decode.loss_ce: 0.0372, decode.acc_seg: 89.6848, decode.kl_loss: 0.0557, loss: 0.0929 +2023-03-06 01:54:52,201 - mmseg - INFO - Iter [40250/160000] lr: 3.750e-05, eta: 8:02:26, time: 0.200, data_time: 0.007, memory: 52540, decode.loss_ce: 0.0395, decode.acc_seg: 89.3928, decode.kl_loss: 0.0564, loss: 0.0959 +2023-03-06 01:55:02,442 - mmseg - INFO - Iter [40300/160000] lr: 3.750e-05, eta: 8:02:09, time: 0.205, data_time: 0.007, memory: 52540, decode.loss_ce: 0.0360, decode.acc_seg: 90.0285, decode.kl_loss: 0.0551, loss: 0.0911 +2023-03-06 01:55:12,315 - mmseg - INFO - Iter [40350/160000] lr: 3.750e-05, eta: 8:01:50, time: 0.197, data_time: 0.007, memory: 52540, decode.loss_ce: 0.0372, decode.acc_seg: 89.5710, decode.kl_loss: 0.0557, loss: 0.0929 +2023-03-06 01:55:24,922 - mmseg - INFO - Iter [40400/160000] lr: 3.750e-05, eta: 8:01:40, time: 0.252, data_time: 0.056, memory: 52540, decode.loss_ce: 0.0368, decode.acc_seg: 89.8407, decode.kl_loss: 0.0574, loss: 0.0942 +2023-03-06 01:55:34,875 - mmseg - INFO - Iter [40450/160000] lr: 3.750e-05, eta: 8:01:21, time: 0.199, data_time: 0.007, memory: 52540, decode.loss_ce: 0.0366, decode.acc_seg: 89.8648, decode.kl_loss: 0.0572, loss: 0.0938 +2023-03-06 01:55:44,873 - mmseg - INFO - Iter [40500/160000] lr: 3.750e-05, eta: 8:01:03, time: 0.200, data_time: 0.007, memory: 52540, decode.loss_ce: 0.0364, decode.acc_seg: 89.8924, decode.kl_loss: 0.0569, loss: 0.0933 +2023-03-06 01:55:54,888 - mmseg - INFO - Iter [40550/160000] lr: 3.750e-05, eta: 8:00:45, time: 0.200, data_time: 0.007, memory: 52540, decode.loss_ce: 0.0368, decode.acc_seg: 89.9143, decode.kl_loss: 0.0549, loss: 0.0916 +2023-03-06 01:56:04,958 - mmseg - INFO - Iter [40600/160000] lr: 3.750e-05, eta: 8:00:27, time: 0.201, data_time: 0.007, memory: 52540, decode.loss_ce: 0.0381, decode.acc_seg: 89.6223, decode.kl_loss: 0.0584, loss: 0.0966 +2023-03-06 01:56:15,009 - mmseg - INFO - Iter [40650/160000] lr: 3.750e-05, eta: 8:00:09, time: 0.201, data_time: 0.007, memory: 52540, decode.loss_ce: 0.0356, decode.acc_seg: 90.0425, decode.kl_loss: 0.0598, loss: 0.0954 +2023-03-06 01:56:25,156 - mmseg - INFO - Iter [40700/160000] lr: 3.750e-05, eta: 7:59:51, time: 0.203, data_time: 0.007, memory: 52540, decode.loss_ce: 0.0377, decode.acc_seg: 89.6590, decode.kl_loss: 0.0581, loss: 0.0958 +2023-03-06 01:56:35,161 - mmseg - INFO - Iter [40750/160000] lr: 3.750e-05, eta: 7:59:33, time: 0.200, data_time: 0.008, memory: 52540, decode.loss_ce: 0.0384, decode.acc_seg: 89.4867, decode.kl_loss: 0.0589, loss: 0.0973 +2023-03-06 01:56:45,309 - mmseg - INFO - Iter [40800/160000] lr: 3.750e-05, eta: 7:59:16, time: 0.203, data_time: 0.007, memory: 52540, decode.loss_ce: 0.0376, decode.acc_seg: 89.5207, decode.kl_loss: 0.0594, loss: 0.0970 +2023-03-06 01:56:55,293 - mmseg - INFO - Iter [40850/160000] lr: 3.750e-05, eta: 7:58:57, time: 0.200, data_time: 0.007, memory: 52540, decode.loss_ce: 0.0388, decode.acc_seg: 89.3448, decode.kl_loss: 0.0623, loss: 0.1011 +2023-03-06 01:57:05,297 - mmseg - INFO - Iter [40900/160000] lr: 3.750e-05, eta: 7:58:39, time: 0.200, data_time: 0.007, memory: 52540, decode.loss_ce: 0.0385, decode.acc_seg: 89.2624, decode.kl_loss: 0.0632, loss: 0.1017 +2023-03-06 01:57:15,438 - mmseg - INFO - Iter [40950/160000] lr: 3.750e-05, eta: 7:58:22, time: 0.203, data_time: 0.007, memory: 52540, decode.loss_ce: 0.0368, decode.acc_seg: 89.7011, decode.kl_loss: 0.0605, loss: 0.0973 +2023-03-06 01:57:25,519 - mmseg - INFO - Exp name: ablation_segformer_mit_b2_segformer_head_unet_fc_small_multi_step_ade_pretrained_freeze_embed_160k_ade20k151_finetune_ema_ce.py +2023-03-06 01:57:25,520 - mmseg - INFO - Iter [41000/160000] lr: 3.750e-05, eta: 7:58:04, time: 0.202, data_time: 0.007, memory: 52540, decode.loss_ce: 0.0390, decode.acc_seg: 89.2390, decode.kl_loss: 0.0633, loss: 0.1023 +2023-03-06 01:57:38,364 - mmseg - INFO - Iter [41050/160000] lr: 3.750e-05, eta: 7:57:54, time: 0.257, data_time: 0.055, memory: 52540, decode.loss_ce: 0.0386, decode.acc_seg: 89.2662, decode.kl_loss: 0.0608, loss: 0.0994 +2023-03-06 01:57:48,338 - mmseg - INFO - Iter [41100/160000] lr: 3.750e-05, eta: 7:57:36, time: 0.199, data_time: 0.007, memory: 52540, decode.loss_ce: 0.0383, decode.acc_seg: 89.3491, decode.kl_loss: 0.0625, loss: 0.1008 +2023-03-06 01:57:58,400 - mmseg - INFO - Iter [41150/160000] lr: 3.750e-05, eta: 7:57:18, time: 0.201, data_time: 0.007, memory: 52540, decode.loss_ce: 0.0396, decode.acc_seg: 89.1865, decode.kl_loss: 0.0636, loss: 0.1032 +2023-03-06 01:58:08,313 - mmseg - INFO - Iter [41200/160000] lr: 3.750e-05, eta: 7:57:00, time: 0.198, data_time: 0.007, memory: 52540, decode.loss_ce: 0.0391, decode.acc_seg: 89.2095, decode.kl_loss: 0.0637, loss: 0.1028 +2023-03-06 01:58:18,539 - mmseg - INFO - Iter [41250/160000] lr: 3.750e-05, eta: 7:56:43, time: 0.205, data_time: 0.007, memory: 52540, decode.loss_ce: 0.0385, decode.acc_seg: 89.1806, decode.kl_loss: 0.0641, loss: 0.1026 +2023-03-06 01:58:28,647 - mmseg - INFO - Iter [41300/160000] lr: 3.750e-05, eta: 7:56:25, time: 0.202, data_time: 0.007, memory: 52540, decode.loss_ce: 0.0382, decode.acc_seg: 89.2640, decode.kl_loss: 0.0635, loss: 0.1017 +2023-03-06 01:58:38,711 - mmseg - INFO - Iter [41350/160000] lr: 3.750e-05, eta: 7:56:08, time: 0.201, data_time: 0.007, memory: 52540, decode.loss_ce: 0.0400, decode.acc_seg: 88.9371, decode.kl_loss: 0.0675, loss: 0.1075 +2023-03-06 01:58:48,707 - mmseg - INFO - Iter [41400/160000] lr: 3.750e-05, eta: 7:55:50, time: 0.200, data_time: 0.007, memory: 52540, decode.loss_ce: 0.0398, decode.acc_seg: 89.0442, decode.kl_loss: 0.0673, loss: 0.1070 +2023-03-06 01:58:58,902 - mmseg - INFO - Iter [41450/160000] lr: 3.750e-05, eta: 7:55:32, time: 0.204, data_time: 0.007, memory: 52540, decode.loss_ce: 0.0400, decode.acc_seg: 88.9281, decode.kl_loss: 0.0632, loss: 0.1033 +2023-03-06 01:59:08,824 - mmseg - INFO - Iter [41500/160000] lr: 3.750e-05, eta: 7:55:14, time: 0.198, data_time: 0.007, memory: 52540, decode.loss_ce: 0.0414, decode.acc_seg: 88.5827, decode.kl_loss: 0.0663, loss: 0.1077 +2023-03-06 01:59:19,110 - mmseg - INFO - Iter [41550/160000] lr: 3.750e-05, eta: 7:54:57, time: 0.206, data_time: 0.007, memory: 52540, decode.loss_ce: 0.0444, decode.acc_seg: 88.0548, decode.kl_loss: 0.0695, loss: 0.1138 +2023-03-06 01:59:29,232 - mmseg - INFO - Iter [41600/160000] lr: 3.750e-05, eta: 7:54:40, time: 0.202, data_time: 0.007, memory: 52540, decode.loss_ce: 0.0452, decode.acc_seg: 87.8474, decode.kl_loss: 0.0673, loss: 0.1125 +2023-03-06 01:59:41,928 - mmseg - INFO - Iter [41650/160000] lr: 3.750e-05, eta: 7:54:30, time: 0.254, data_time: 0.056, memory: 52540, decode.loss_ce: 0.0412, decode.acc_seg: 88.6885, decode.kl_loss: 0.0632, loss: 0.1044 +2023-03-06 01:59:52,120 - mmseg - INFO - Iter [41700/160000] lr: 3.750e-05, eta: 7:54:12, time: 0.204, data_time: 0.007, memory: 52540, decode.loss_ce: 0.0400, decode.acc_seg: 88.9768, decode.kl_loss: 0.0616, loss: 0.1016 +2023-03-06 02:00:02,220 - mmseg - INFO - Iter [41750/160000] lr: 3.750e-05, eta: 7:53:55, time: 0.202, data_time: 0.007, memory: 52540, decode.loss_ce: 0.0402, decode.acc_seg: 89.0895, decode.kl_loss: 0.0613, loss: 0.1015 +2023-03-06 02:00:12,273 - mmseg - INFO - Iter [41800/160000] lr: 3.750e-05, eta: 7:53:37, time: 0.201, data_time: 0.007, memory: 52540, decode.loss_ce: 0.0389, decode.acc_seg: 89.2953, decode.kl_loss: 0.0621, loss: 0.1010 +2023-03-06 02:00:22,481 - mmseg - INFO - Iter [41850/160000] lr: 3.750e-05, eta: 7:53:20, time: 0.204, data_time: 0.007, memory: 52540, decode.loss_ce: 0.0508, decode.acc_seg: 86.6165, decode.kl_loss: 0.0715, loss: 0.1223 +2023-03-06 02:00:32,656 - mmseg - INFO - Iter [41900/160000] lr: 3.750e-05, eta: 7:53:03, time: 0.204, data_time: 0.007, memory: 52540, decode.loss_ce: 0.0465, decode.acc_seg: 87.3005, decode.kl_loss: 0.0714, loss: 0.1179 +2023-03-06 02:00:42,742 - mmseg - INFO - Iter [41950/160000] lr: 3.750e-05, eta: 7:52:46, time: 0.202, data_time: 0.007, memory: 52540, decode.loss_ce: 0.0412, decode.acc_seg: 88.6931, decode.kl_loss: 0.0652, loss: 0.1064 +2023-03-06 02:00:52,700 - mmseg - INFO - Exp name: ablation_segformer_mit_b2_segformer_head_unet_fc_small_multi_step_ade_pretrained_freeze_embed_160k_ade20k151_finetune_ema_ce.py +2023-03-06 02:00:52,701 - mmseg - INFO - Iter [42000/160000] lr: 3.750e-05, eta: 7:52:28, time: 0.199, data_time: 0.007, memory: 52540, decode.loss_ce: 0.0408, decode.acc_seg: 88.8748, decode.kl_loss: 0.0622, loss: 0.1029 +2023-03-06 02:01:03,129 - mmseg - INFO - Iter [42050/160000] lr: 3.750e-05, eta: 7:52:11, time: 0.209, data_time: 0.007, memory: 52540, decode.loss_ce: 0.0394, decode.acc_seg: 89.0899, decode.kl_loss: 0.0656, loss: 0.1049 +2023-03-06 02:01:13,056 - mmseg - INFO - Iter [42100/160000] lr: 3.750e-05, eta: 7:51:53, time: 0.199, data_time: 0.007, memory: 52540, decode.loss_ce: 0.0366, decode.acc_seg: 89.7292, decode.kl_loss: 0.0655, loss: 0.1021 +2023-03-06 02:01:23,254 - mmseg - INFO - Iter [42150/160000] lr: 3.750e-05, eta: 7:51:36, time: 0.204, data_time: 0.007, memory: 52540, decode.loss_ce: 0.0390, decode.acc_seg: 89.2566, decode.kl_loss: 0.0619, loss: 0.1009 +2023-03-06 02:01:33,298 - mmseg - INFO - Iter [42200/160000] lr: 3.750e-05, eta: 7:51:19, time: 0.201, data_time: 0.007, memory: 52540, decode.loss_ce: 0.0374, decode.acc_seg: 89.6546, decode.kl_loss: 0.0605, loss: 0.0979 +2023-03-06 02:01:43,301 - mmseg - INFO - Iter [42250/160000] lr: 3.750e-05, eta: 7:51:01, time: 0.200, data_time: 0.007, memory: 52540, decode.loss_ce: 0.0377, decode.acc_seg: 89.7251, decode.kl_loss: 0.0601, loss: 0.0978 +2023-03-06 02:01:56,130 - mmseg - INFO - Iter [42300/160000] lr: 3.750e-05, eta: 7:50:52, time: 0.257, data_time: 0.053, memory: 52540, decode.loss_ce: 0.0358, decode.acc_seg: 89.9798, decode.kl_loss: 0.0590, loss: 0.0949 +2023-03-06 02:02:06,025 - mmseg - INFO - Iter [42350/160000] lr: 3.750e-05, eta: 7:50:34, time: 0.198, data_time: 0.007, memory: 52540, decode.loss_ce: 0.0375, decode.acc_seg: 89.5665, decode.kl_loss: 0.0628, loss: 0.1003 +2023-03-06 02:02:16,073 - mmseg - INFO - Iter [42400/160000] lr: 3.750e-05, eta: 7:50:16, time: 0.201, data_time: 0.007, memory: 52540, decode.loss_ce: 0.0380, decode.acc_seg: 89.5164, decode.kl_loss: 0.0603, loss: 0.0983 +2023-03-06 02:02:26,092 - mmseg - INFO - Iter [42450/160000] lr: 3.750e-05, eta: 7:49:59, time: 0.200, data_time: 0.007, memory: 52540, decode.loss_ce: 0.0368, decode.acc_seg: 89.7848, decode.kl_loss: 0.0600, loss: 0.0967 +2023-03-06 02:02:36,246 - mmseg - INFO - Iter [42500/160000] lr: 3.750e-05, eta: 7:49:42, time: 0.203, data_time: 0.007, memory: 52540, decode.loss_ce: 0.0392, decode.acc_seg: 89.3064, decode.kl_loss: 0.0624, loss: 0.1016 +2023-03-06 02:02:46,176 - mmseg - INFO - Iter [42550/160000] lr: 3.750e-05, eta: 7:49:24, time: 0.199, data_time: 0.007, memory: 52540, decode.loss_ce: 0.0371, decode.acc_seg: 89.6536, decode.kl_loss: 0.0598, loss: 0.0969 +2023-03-06 02:02:56,601 - mmseg - INFO - Iter [42600/160000] lr: 3.750e-05, eta: 7:49:08, time: 0.209, data_time: 0.007, memory: 52540, decode.loss_ce: 0.0365, decode.acc_seg: 89.7522, decode.kl_loss: 0.0620, loss: 0.0985 +2023-03-06 02:03:06,619 - mmseg - INFO - Iter [42650/160000] lr: 3.750e-05, eta: 7:48:50, time: 0.200, data_time: 0.007, memory: 52540, decode.loss_ce: 0.0384, decode.acc_seg: 89.5656, decode.kl_loss: 0.0611, loss: 0.0995 +2023-03-06 02:03:16,683 - mmseg - INFO - Iter [42700/160000] lr: 3.750e-05, eta: 7:48:33, time: 0.201, data_time: 0.007, memory: 52540, decode.loss_ce: 0.0379, decode.acc_seg: 89.5560, decode.kl_loss: 0.0609, loss: 0.0988 +2023-03-06 02:03:27,006 - mmseg - INFO - Iter [42750/160000] lr: 3.750e-05, eta: 7:48:17, time: 0.207, data_time: 0.008, memory: 52540, decode.loss_ce: 0.0379, decode.acc_seg: 89.3911, decode.kl_loss: 0.0678, loss: 0.1057 +2023-03-06 02:03:36,937 - mmseg - INFO - Iter [42800/160000] lr: 3.750e-05, eta: 7:47:59, time: 0.199, data_time: 0.007, memory: 52540, decode.loss_ce: 0.0406, decode.acc_seg: 88.8459, decode.kl_loss: 0.0749, loss: 0.1155 +2023-03-06 02:03:46,839 - mmseg - INFO - Iter [42850/160000] lr: 3.750e-05, eta: 7:47:41, time: 0.198, data_time: 0.007, memory: 52540, decode.loss_ce: 0.0407, decode.acc_seg: 88.9186, decode.kl_loss: 0.0718, loss: 0.1125 +2023-03-06 02:03:57,031 - mmseg - INFO - Iter [42900/160000] lr: 3.750e-05, eta: 7:47:25, time: 0.204, data_time: 0.007, memory: 52540, decode.loss_ce: 0.0384, decode.acc_seg: 89.2299, decode.kl_loss: 0.0699, loss: 0.1083 +2023-03-06 02:04:09,602 - mmseg - INFO - Iter [42950/160000] lr: 3.750e-05, eta: 7:47:14, time: 0.251, data_time: 0.053, memory: 52540, decode.loss_ce: 0.0381, decode.acc_seg: 89.5851, decode.kl_loss: 0.0673, loss: 0.1055 +2023-03-06 02:04:19,561 - mmseg - INFO - Exp name: ablation_segformer_mit_b2_segformer_head_unet_fc_small_multi_step_ade_pretrained_freeze_embed_160k_ade20k151_finetune_ema_ce.py +2023-03-06 02:04:19,561 - mmseg - INFO - Iter [43000/160000] lr: 3.750e-05, eta: 7:46:57, time: 0.199, data_time: 0.007, memory: 52540, decode.loss_ce: 0.0388, decode.acc_seg: 89.4196, decode.kl_loss: 0.0643, loss: 0.1031 +2023-03-06 02:04:29,467 - mmseg - INFO - Iter [43050/160000] lr: 3.750e-05, eta: 7:46:39, time: 0.198, data_time: 0.007, memory: 52540, decode.loss_ce: 0.0386, decode.acc_seg: 89.2477, decode.kl_loss: 0.0695, loss: 0.1081 +2023-03-06 02:04:39,455 - mmseg - INFO - Iter [43100/160000] lr: 3.750e-05, eta: 7:46:22, time: 0.200, data_time: 0.007, memory: 52540, decode.loss_ce: 0.0384, decode.acc_seg: 89.4617, decode.kl_loss: 0.0671, loss: 0.1054 +2023-03-06 02:04:49,471 - mmseg - INFO - Iter [43150/160000] lr: 3.750e-05, eta: 7:46:04, time: 0.200, data_time: 0.007, memory: 52540, decode.loss_ce: 0.0400, decode.acc_seg: 88.9962, decode.kl_loss: 0.0676, loss: 0.1076 +2023-03-06 02:04:59,424 - mmseg - INFO - Iter [43200/160000] lr: 3.750e-05, eta: 7:45:47, time: 0.199, data_time: 0.007, memory: 52540, decode.loss_ce: 0.0379, decode.acc_seg: 89.5631, decode.kl_loss: 0.0678, loss: 0.1057 +2023-03-06 02:05:09,382 - mmseg - INFO - Iter [43250/160000] lr: 3.750e-05, eta: 7:45:30, time: 0.199, data_time: 0.007, memory: 52540, decode.loss_ce: 0.0384, decode.acc_seg: 89.4139, decode.kl_loss: 0.0666, loss: 0.1050 +2023-03-06 02:05:19,335 - mmseg - INFO - Iter [43300/160000] lr: 3.750e-05, eta: 7:45:12, time: 0.199, data_time: 0.007, memory: 52540, decode.loss_ce: 0.0403, decode.acc_seg: 89.0691, decode.kl_loss: 0.0693, loss: 0.1096 +2023-03-06 02:05:29,319 - mmseg - INFO - Iter [43350/160000] lr: 3.750e-05, eta: 7:44:55, time: 0.200, data_time: 0.007, memory: 52540, decode.loss_ce: 0.0395, decode.acc_seg: 89.2303, decode.kl_loss: 0.0666, loss: 0.1061 +2023-03-06 02:05:39,552 - mmseg - INFO - Iter [43400/160000] lr: 3.750e-05, eta: 7:44:38, time: 0.205, data_time: 0.007, memory: 52540, decode.loss_ce: 0.0392, decode.acc_seg: 89.1753, decode.kl_loss: 0.0645, loss: 0.1037 +2023-03-06 02:05:49,760 - mmseg - INFO - Iter [43450/160000] lr: 3.750e-05, eta: 7:44:22, time: 0.204, data_time: 0.007, memory: 52540, decode.loss_ce: 0.0416, decode.acc_seg: 88.7563, decode.kl_loss: 0.0670, loss: 0.1086 +2023-03-06 02:06:00,014 - mmseg - INFO - Iter [43500/160000] lr: 3.750e-05, eta: 7:44:05, time: 0.205, data_time: 0.007, memory: 52540, decode.loss_ce: 0.0418, decode.acc_seg: 88.3838, decode.kl_loss: 0.0715, loss: 0.1133 +2023-03-06 02:06:12,755 - mmseg - INFO - Iter [43550/160000] lr: 3.750e-05, eta: 7:43:55, time: 0.255, data_time: 0.055, memory: 52540, decode.loss_ce: 0.0459, decode.acc_seg: 87.6268, decode.kl_loss: 0.0786, loss: 0.1245 +2023-03-06 02:06:22,881 - mmseg - INFO - Iter [43600/160000] lr: 3.750e-05, eta: 7:43:39, time: 0.203, data_time: 0.007, memory: 52540, decode.loss_ce: 0.0778, decode.acc_seg: 80.4358, decode.kl_loss: 0.1023, loss: 0.1801 +2023-03-06 02:06:32,862 - mmseg - INFO - Iter [43650/160000] lr: 3.750e-05, eta: 7:43:21, time: 0.200, data_time: 0.007, memory: 52540, decode.loss_ce: 0.0491, decode.acc_seg: 86.9490, decode.kl_loss: 0.0763, loss: 0.1253 +2023-03-06 02:06:43,166 - mmseg - INFO - Iter [43700/160000] lr: 3.750e-05, eta: 7:43:05, time: 0.206, data_time: 0.007, memory: 52540, decode.loss_ce: 0.0463, decode.acc_seg: 87.5828, decode.kl_loss: 0.0690, loss: 0.1153 +2023-03-06 02:06:53,336 - mmseg - INFO - Iter [43750/160000] lr: 3.750e-05, eta: 7:42:48, time: 0.203, data_time: 0.007, memory: 52540, decode.loss_ce: 0.0456, decode.acc_seg: 87.8460, decode.kl_loss: 0.0681, loss: 0.1137 +2023-03-06 02:07:03,287 - mmseg - INFO - Iter [43800/160000] lr: 3.750e-05, eta: 7:42:31, time: 0.199, data_time: 0.007, memory: 52540, decode.loss_ce: 0.0440, decode.acc_seg: 88.2072, decode.kl_loss: 0.0654, loss: 0.1094 +2023-03-06 02:07:13,206 - mmseg - INFO - Iter [43850/160000] lr: 3.750e-05, eta: 7:42:14, time: 0.198, data_time: 0.007, memory: 52540, decode.loss_ce: 0.0515, decode.acc_seg: 86.6534, decode.kl_loss: 0.0753, loss: 0.1268 +2023-03-06 02:07:23,406 - mmseg - INFO - Iter [43900/160000] lr: 3.750e-05, eta: 7:41:57, time: 0.204, data_time: 0.007, memory: 52540, decode.loss_ce: 0.0444, decode.acc_seg: 87.8306, decode.kl_loss: 0.0704, loss: 0.1148 +2023-03-06 02:07:33,517 - mmseg - INFO - Iter [43950/160000] lr: 3.750e-05, eta: 7:41:41, time: 0.202, data_time: 0.007, memory: 52540, decode.loss_ce: 0.0412, decode.acc_seg: 88.7654, decode.kl_loss: 0.0688, loss: 0.1100 +2023-03-06 02:07:43,554 - mmseg - INFO - Exp name: ablation_segformer_mit_b2_segformer_head_unet_fc_small_multi_step_ade_pretrained_freeze_embed_160k_ade20k151_finetune_ema_ce.py +2023-03-06 02:07:43,554 - mmseg - INFO - Iter [44000/160000] lr: 3.750e-05, eta: 7:41:24, time: 0.201, data_time: 0.007, memory: 52540, decode.loss_ce: 0.0606, decode.acc_seg: 84.6180, decode.kl_loss: 0.0802, loss: 0.1408 +2023-03-06 02:07:53,481 - mmseg - INFO - Iter [44050/160000] lr: 3.750e-05, eta: 7:41:06, time: 0.199, data_time: 0.007, memory: 52540, decode.loss_ce: 0.0449, decode.acc_seg: 88.1621, decode.kl_loss: 0.0668, loss: 0.1117 +2023-03-06 02:08:03,694 - mmseg - INFO - Iter [44100/160000] lr: 3.750e-05, eta: 7:40:50, time: 0.204, data_time: 0.007, memory: 52540, decode.loss_ce: 0.0413, decode.acc_seg: 88.5966, decode.kl_loss: 0.0653, loss: 0.1066 +2023-03-06 02:08:13,689 - mmseg - INFO - Iter [44150/160000] lr: 3.750e-05, eta: 7:40:33, time: 0.200, data_time: 0.007, memory: 52540, decode.loss_ce: 0.0415, decode.acc_seg: 88.7840, decode.kl_loss: 0.0649, loss: 0.1064 +2023-03-06 02:08:26,143 - mmseg - INFO - Iter [44200/160000] lr: 3.750e-05, eta: 7:40:22, time: 0.249, data_time: 0.056, memory: 52540, decode.loss_ce: 0.0456, decode.acc_seg: 87.6227, decode.kl_loss: 0.0690, loss: 0.1146 +2023-03-06 02:08:36,199 - mmseg - INFO - Iter [44250/160000] lr: 3.750e-05, eta: 7:40:06, time: 0.201, data_time: 0.007, memory: 52540, decode.loss_ce: 0.0421, decode.acc_seg: 88.5354, decode.kl_loss: 0.0666, loss: 0.1087 +2023-03-06 02:08:46,166 - mmseg - INFO - Iter [44300/160000] lr: 3.750e-05, eta: 7:39:49, time: 0.199, data_time: 0.007, memory: 52540, decode.loss_ce: 0.0403, decode.acc_seg: 89.1128, decode.kl_loss: 0.0627, loss: 0.1030 +2023-03-06 02:08:56,045 - mmseg - INFO - Iter [44350/160000] lr: 3.750e-05, eta: 7:39:31, time: 0.198, data_time: 0.007, memory: 52540, decode.loss_ce: 0.0390, decode.acc_seg: 89.1684, decode.kl_loss: 0.0633, loss: 0.1023 +2023-03-06 02:09:06,218 - mmseg - INFO - Iter [44400/160000] lr: 3.750e-05, eta: 7:39:15, time: 0.203, data_time: 0.008, memory: 52540, decode.loss_ce: 0.0438, decode.acc_seg: 88.3018, decode.kl_loss: 0.0672, loss: 0.1110 +2023-03-06 02:09:16,877 - mmseg - INFO - Iter [44450/160000] lr: 3.750e-05, eta: 7:39:00, time: 0.213, data_time: 0.007, memory: 52540, decode.loss_ce: 0.0391, decode.acc_seg: 89.2387, decode.kl_loss: 0.0674, loss: 0.1064 +2023-03-06 02:09:27,529 - mmseg - INFO - Iter [44500/160000] lr: 3.750e-05, eta: 7:38:45, time: 0.213, data_time: 0.008, memory: 52540, decode.loss_ce: 0.0389, decode.acc_seg: 89.2021, decode.kl_loss: 0.0639, loss: 0.1028 +2023-03-06 02:09:37,725 - mmseg - INFO - Iter [44550/160000] lr: 3.750e-05, eta: 7:38:28, time: 0.204, data_time: 0.007, memory: 52540, decode.loss_ce: 0.0386, decode.acc_seg: 89.4898, decode.kl_loss: 0.0608, loss: 0.0993 +2023-03-06 02:09:47,749 - mmseg - INFO - Iter [44600/160000] lr: 3.750e-05, eta: 7:38:11, time: 0.200, data_time: 0.007, memory: 52540, decode.loss_ce: 0.0397, decode.acc_seg: 89.1688, decode.kl_loss: 0.0672, loss: 0.1069 +2023-03-06 02:09:57,754 - mmseg - INFO - Iter [44650/160000] lr: 3.750e-05, eta: 7:37:55, time: 0.200, data_time: 0.007, memory: 52540, decode.loss_ce: 0.0391, decode.acc_seg: 89.0985, decode.kl_loss: 0.0681, loss: 0.1072 +2023-03-06 02:10:08,132 - mmseg - INFO - Iter [44700/160000] lr: 3.750e-05, eta: 7:37:39, time: 0.208, data_time: 0.007, memory: 52540, decode.loss_ce: 0.0384, decode.acc_seg: 89.3254, decode.kl_loss: 0.0663, loss: 0.1048 +2023-03-06 02:10:18,554 - mmseg - INFO - Iter [44750/160000] lr: 3.750e-05, eta: 7:37:23, time: 0.208, data_time: 0.007, memory: 52540, decode.loss_ce: 0.0400, decode.acc_seg: 89.0774, decode.kl_loss: 0.0686, loss: 0.1086 +2023-03-06 02:10:28,468 - mmseg - INFO - Iter [44800/160000] lr: 3.750e-05, eta: 7:37:06, time: 0.199, data_time: 0.007, memory: 52540, decode.loss_ce: 0.0429, decode.acc_seg: 88.5852, decode.kl_loss: 0.0676, loss: 0.1105 +2023-03-06 02:10:41,204 - mmseg - INFO - Iter [44850/160000] lr: 3.750e-05, eta: 7:36:56, time: 0.255, data_time: 0.056, memory: 52540, decode.loss_ce: 0.0412, decode.acc_seg: 88.7827, decode.kl_loss: 0.0712, loss: 0.1124 +2023-03-06 02:10:51,250 - mmseg - INFO - Iter [44900/160000] lr: 3.750e-05, eta: 7:36:39, time: 0.201, data_time: 0.007, memory: 52540, decode.loss_ce: 0.0423, decode.acc_seg: 88.3644, decode.kl_loss: 0.0719, loss: 0.1142 +2023-03-06 02:11:01,232 - mmseg - INFO - Iter [44950/160000] lr: 3.750e-05, eta: 7:36:23, time: 0.200, data_time: 0.007, memory: 52540, decode.loss_ce: 0.0411, decode.acc_seg: 88.7528, decode.kl_loss: 0.0762, loss: 0.1173 +2023-03-06 02:11:11,394 - mmseg - INFO - Exp name: ablation_segformer_mit_b2_segformer_head_unet_fc_small_multi_step_ade_pretrained_freeze_embed_160k_ade20k151_finetune_ema_ce.py +2023-03-06 02:11:11,394 - mmseg - INFO - Iter [45000/160000] lr: 3.750e-05, eta: 7:36:06, time: 0.203, data_time: 0.007, memory: 52540, decode.loss_ce: 0.0410, decode.acc_seg: 88.9208, decode.kl_loss: 0.0725, loss: 0.1135 +2023-03-06 02:11:21,308 - mmseg - INFO - Iter [45050/160000] lr: 3.750e-05, eta: 7:35:49, time: 0.198, data_time: 0.007, memory: 52540, decode.loss_ce: 0.0412, decode.acc_seg: 88.7914, decode.kl_loss: 0.0752, loss: 0.1165 +2023-03-06 02:11:31,451 - mmseg - INFO - Iter [45100/160000] lr: 3.750e-05, eta: 7:35:33, time: 0.203, data_time: 0.008, memory: 52540, decode.loss_ce: 0.0389, decode.acc_seg: 89.1141, decode.kl_loss: 0.0720, loss: 0.1110 +2023-03-06 02:11:41,568 - mmseg - INFO - Iter [45150/160000] lr: 3.750e-05, eta: 7:35:17, time: 0.202, data_time: 0.007, memory: 52540, decode.loss_ce: 0.0411, decode.acc_seg: 88.7043, decode.kl_loss: 0.0779, loss: 0.1191 +2023-03-06 02:11:51,708 - mmseg - INFO - Iter [45200/160000] lr: 3.750e-05, eta: 7:35:00, time: 0.203, data_time: 0.007, memory: 52540, decode.loss_ce: 0.0414, decode.acc_seg: 88.6762, decode.kl_loss: 0.0790, loss: 0.1204 +2023-03-06 02:12:01,632 - mmseg - INFO - Iter [45250/160000] lr: 3.750e-05, eta: 7:34:43, time: 0.198, data_time: 0.007, memory: 52540, decode.loss_ce: 0.0438, decode.acc_seg: 88.1053, decode.kl_loss: 0.0821, loss: 0.1259 +2023-03-06 02:12:11,692 - mmseg - INFO - Iter [45300/160000] lr: 3.750e-05, eta: 7:34:27, time: 0.201, data_time: 0.007, memory: 52540, decode.loss_ce: 0.0463, decode.acc_seg: 87.3922, decode.kl_loss: 0.0794, loss: 0.1258 +2023-03-06 02:12:21,793 - mmseg - INFO - Iter [45350/160000] lr: 3.750e-05, eta: 7:34:10, time: 0.202, data_time: 0.007, memory: 52540, decode.loss_ce: 0.0432, decode.acc_seg: 88.1689, decode.kl_loss: 0.0750, loss: 0.1183 +2023-03-06 02:12:31,743 - mmseg - INFO - Iter [45400/160000] lr: 3.750e-05, eta: 7:33:54, time: 0.199, data_time: 0.007, memory: 52540, decode.loss_ce: 0.0421, decode.acc_seg: 88.5871, decode.kl_loss: 0.0721, loss: 0.1142 +2023-03-06 02:12:44,416 - mmseg - INFO - Iter [45450/160000] lr: 3.750e-05, eta: 7:33:44, time: 0.253, data_time: 0.056, memory: 52540, decode.loss_ce: 0.0397, decode.acc_seg: 89.0847, decode.kl_loss: 0.0717, loss: 0.1114 +2023-03-06 02:12:54,746 - mmseg - INFO - Iter [45500/160000] lr: 3.750e-05, eta: 7:33:28, time: 0.207, data_time: 0.007, memory: 52540, decode.loss_ce: 0.0405, decode.acc_seg: 89.0696, decode.kl_loss: 0.0698, loss: 0.1103 +2023-03-06 02:13:04,809 - mmseg - INFO - Iter [45550/160000] lr: 3.750e-05, eta: 7:33:11, time: 0.201, data_time: 0.007, memory: 52540, decode.loss_ce: 0.0422, decode.acc_seg: 88.4312, decode.kl_loss: 0.0738, loss: 0.1160 +2023-03-06 02:13:14,749 - mmseg - INFO - Iter [45600/160000] lr: 3.750e-05, eta: 7:32:55, time: 0.199, data_time: 0.007, memory: 52540, decode.loss_ce: 0.0404, decode.acc_seg: 88.9427, decode.kl_loss: 0.0731, loss: 0.1135 +2023-03-06 02:13:24,888 - mmseg - INFO - Iter [45650/160000] lr: 3.750e-05, eta: 7:32:39, time: 0.203, data_time: 0.007, memory: 52540, decode.loss_ce: 0.0418, decode.acc_seg: 88.5872, decode.kl_loss: 0.0750, loss: 0.1168 +2023-03-06 02:13:34,906 - mmseg - INFO - Iter [45700/160000] lr: 3.750e-05, eta: 7:32:22, time: 0.200, data_time: 0.007, memory: 52540, decode.loss_ce: 0.0577, decode.acc_seg: 84.7553, decode.kl_loss: 0.0830, loss: 0.1406 +2023-03-06 02:13:45,112 - mmseg - INFO - Iter [45750/160000] lr: 3.750e-05, eta: 7:32:06, time: 0.204, data_time: 0.007, memory: 52540, decode.loss_ce: 0.0427, decode.acc_seg: 88.2307, decode.kl_loss: 0.0712, loss: 0.1140 +2023-03-06 02:13:55,101 - mmseg - INFO - Iter [45800/160000] lr: 3.750e-05, eta: 7:31:49, time: 0.200, data_time: 0.007, memory: 52540, decode.loss_ce: 0.0407, decode.acc_seg: 88.7241, decode.kl_loss: 0.0662, loss: 0.1069 +2023-03-06 02:14:05,377 - mmseg - INFO - Iter [45850/160000] lr: 3.750e-05, eta: 7:31:34, time: 0.206, data_time: 0.007, memory: 52540, decode.loss_ce: 0.0411, decode.acc_seg: 88.5163, decode.kl_loss: 0.0684, loss: 0.1095 +2023-03-06 02:14:15,732 - mmseg - INFO - Iter [45900/160000] lr: 3.750e-05, eta: 7:31:18, time: 0.207, data_time: 0.007, memory: 52540, decode.loss_ce: 0.0424, decode.acc_seg: 88.7136, decode.kl_loss: 0.0642, loss: 0.1065 +2023-03-06 02:14:25,647 - mmseg - INFO - Iter [45950/160000] lr: 3.750e-05, eta: 7:31:01, time: 0.198, data_time: 0.007, memory: 52540, decode.loss_ce: 0.0395, decode.acc_seg: 88.9214, decode.kl_loss: 0.0664, loss: 0.1059 +2023-03-06 02:14:35,987 - mmseg - INFO - Exp name: ablation_segformer_mit_b2_segformer_head_unet_fc_small_multi_step_ade_pretrained_freeze_embed_160k_ade20k151_finetune_ema_ce.py +2023-03-06 02:14:35,987 - mmseg - INFO - Iter [46000/160000] lr: 3.750e-05, eta: 7:30:46, time: 0.207, data_time: 0.007, memory: 52540, decode.loss_ce: 0.0416, decode.acc_seg: 88.5336, decode.kl_loss: 0.0715, loss: 0.1132 +2023-03-06 02:14:46,072 - mmseg - INFO - Iter [46050/160000] lr: 3.750e-05, eta: 7:30:29, time: 0.202, data_time: 0.008, memory: 52540, decode.loss_ce: 0.0378, decode.acc_seg: 89.5405, decode.kl_loss: 0.0628, loss: 0.1007 +2023-03-06 02:14:58,727 - mmseg - INFO - Iter [46100/160000] lr: 3.750e-05, eta: 7:30:19, time: 0.253, data_time: 0.055, memory: 52540, decode.loss_ce: 0.0393, decode.acc_seg: 89.2282, decode.kl_loss: 0.0683, loss: 0.1075 +2023-03-06 02:15:08,730 - mmseg - INFO - Iter [46150/160000] lr: 3.750e-05, eta: 7:30:03, time: 0.200, data_time: 0.007, memory: 52540, decode.loss_ce: 0.0376, decode.acc_seg: 89.3958, decode.kl_loss: 0.0654, loss: 0.1030 +2023-03-06 02:15:18,871 - mmseg - INFO - Iter [46200/160000] lr: 3.750e-05, eta: 7:29:47, time: 0.203, data_time: 0.007, memory: 52540, decode.loss_ce: 0.0387, decode.acc_seg: 89.3221, decode.kl_loss: 0.0667, loss: 0.1053 +2023-03-06 02:15:28,922 - mmseg - INFO - Iter [46250/160000] lr: 3.750e-05, eta: 7:29:31, time: 0.201, data_time: 0.007, memory: 52540, decode.loss_ce: 0.0408, decode.acc_seg: 88.8250, decode.kl_loss: 0.0652, loss: 0.1060 +2023-03-06 02:15:39,342 - mmseg - INFO - Iter [46300/160000] lr: 3.750e-05, eta: 7:29:15, time: 0.208, data_time: 0.007, memory: 52540, decode.loss_ce: 0.0474, decode.acc_seg: 87.2884, decode.kl_loss: 0.0811, loss: 0.1286 +2023-03-06 02:15:49,393 - mmseg - INFO - Iter [46350/160000] lr: 3.750e-05, eta: 7:28:59, time: 0.201, data_time: 0.007, memory: 52540, decode.loss_ce: 0.0802, decode.acc_seg: 79.8691, decode.kl_loss: 0.0941, loss: 0.1744 +2023-03-06 02:15:59,440 - mmseg - INFO - Iter [46400/160000] lr: 3.750e-05, eta: 7:28:43, time: 0.201, data_time: 0.007, memory: 52540, decode.loss_ce: 0.0582, decode.acc_seg: 83.9029, decode.kl_loss: 0.0822, loss: 0.1404 +2023-03-06 02:16:09,617 - mmseg - INFO - Iter [46450/160000] lr: 3.750e-05, eta: 7:28:27, time: 0.204, data_time: 0.007, memory: 52540, decode.loss_ce: 0.0491, decode.acc_seg: 86.5065, decode.kl_loss: 0.0718, loss: 0.1209 +2023-03-06 02:16:19,838 - mmseg - INFO - Iter [46500/160000] lr: 3.750e-05, eta: 7:28:11, time: 0.204, data_time: 0.007, memory: 52540, decode.loss_ce: 0.0393, decode.acc_seg: 89.1527, decode.kl_loss: 0.0616, loss: 0.1009 +2023-03-06 02:16:29,893 - mmseg - INFO - Iter [46550/160000] lr: 3.750e-05, eta: 7:27:55, time: 0.201, data_time: 0.008, memory: 52540, decode.loss_ce: 0.0394, decode.acc_seg: 89.2869, decode.kl_loss: 0.0607, loss: 0.1001 +2023-03-06 02:16:40,228 - mmseg - INFO - Iter [46600/160000] lr: 3.750e-05, eta: 7:27:39, time: 0.207, data_time: 0.007, memory: 52540, decode.loss_ce: 0.0390, decode.acc_seg: 89.2105, decode.kl_loss: 0.0674, loss: 0.1064 +2023-03-06 02:16:50,276 - mmseg - INFO - Iter [46650/160000] lr: 3.750e-05, eta: 7:27:23, time: 0.201, data_time: 0.007, memory: 52540, decode.loss_ce: 0.0417, decode.acc_seg: 88.4862, decode.kl_loss: 0.0658, loss: 0.1075 +2023-03-06 02:17:02,753 - mmseg - INFO - Iter [46700/160000] lr: 3.750e-05, eta: 7:27:13, time: 0.250, data_time: 0.054, memory: 52540, decode.loss_ce: 0.0377, decode.acc_seg: 89.5470, decode.kl_loss: 0.0613, loss: 0.0990 +2023-03-06 02:17:12,807 - mmseg - INFO - Iter [46750/160000] lr: 3.750e-05, eta: 7:26:56, time: 0.201, data_time: 0.007, memory: 52540, decode.loss_ce: 0.0392, decode.acc_seg: 89.2873, decode.kl_loss: 0.0624, loss: 0.1016 +2023-03-06 02:17:22,917 - mmseg - INFO - Iter [46800/160000] lr: 3.750e-05, eta: 7:26:40, time: 0.202, data_time: 0.008, memory: 52540, decode.loss_ce: 0.0388, decode.acc_seg: 89.1687, decode.kl_loss: 0.0689, loss: 0.1077 +2023-03-06 02:17:33,075 - mmseg - INFO - Iter [46850/160000] lr: 3.750e-05, eta: 7:26:25, time: 0.203, data_time: 0.007, memory: 52540, decode.loss_ce: 0.0390, decode.acc_seg: 89.3787, decode.kl_loss: 0.0637, loss: 0.1027 +2023-03-06 02:17:43,217 - mmseg - INFO - Iter [46900/160000] lr: 3.750e-05, eta: 7:26:09, time: 0.203, data_time: 0.007, memory: 52540, decode.loss_ce: 0.0417, decode.acc_seg: 88.5486, decode.kl_loss: 0.0640, loss: 0.1057 +2023-03-06 02:17:53,284 - mmseg - INFO - Iter [46950/160000] lr: 3.750e-05, eta: 7:25:53, time: 0.201, data_time: 0.008, memory: 52540, decode.loss_ce: 0.0414, decode.acc_seg: 88.3454, decode.kl_loss: 0.0695, loss: 0.1109 +2023-03-06 02:18:03,383 - mmseg - INFO - Exp name: ablation_segformer_mit_b2_segformer_head_unet_fc_small_multi_step_ade_pretrained_freeze_embed_160k_ade20k151_finetune_ema_ce.py +2023-03-06 02:18:03,383 - mmseg - INFO - Iter [47000/160000] lr: 3.750e-05, eta: 7:25:37, time: 0.202, data_time: 0.007, memory: 52540, decode.loss_ce: 0.0400, decode.acc_seg: 89.1017, decode.kl_loss: 0.0625, loss: 0.1024 +2023-03-06 02:18:13,407 - mmseg - INFO - Iter [47050/160000] lr: 3.750e-05, eta: 7:25:20, time: 0.200, data_time: 0.008, memory: 52540, decode.loss_ce: 0.0391, decode.acc_seg: 89.1531, decode.kl_loss: 0.0639, loss: 0.1031 +2023-03-06 02:18:23,462 - mmseg - INFO - Iter [47100/160000] lr: 3.750e-05, eta: 7:25:04, time: 0.201, data_time: 0.007, memory: 52540, decode.loss_ce: 0.0390, decode.acc_seg: 89.0770, decode.kl_loss: 0.0649, loss: 0.1039 +2023-03-06 02:18:33,836 - mmseg - INFO - Iter [47150/160000] lr: 3.750e-05, eta: 7:24:49, time: 0.207, data_time: 0.007, memory: 52540, decode.loss_ce: 0.0406, decode.acc_seg: 88.7309, decode.kl_loss: 0.0662, loss: 0.1068 +2023-03-06 02:18:44,013 - mmseg - INFO - Iter [47200/160000] lr: 3.750e-05, eta: 7:24:33, time: 0.204, data_time: 0.007, memory: 52540, decode.loss_ce: 0.0412, decode.acc_seg: 88.6974, decode.kl_loss: 0.0646, loss: 0.1058 +2023-03-06 02:18:54,352 - mmseg - INFO - Iter [47250/160000] lr: 3.750e-05, eta: 7:24:18, time: 0.207, data_time: 0.007, memory: 52540, decode.loss_ce: 0.0446, decode.acc_seg: 87.7936, decode.kl_loss: 0.0697, loss: 0.1144 +2023-03-06 02:19:04,433 - mmseg - INFO - Iter [47300/160000] lr: 3.750e-05, eta: 7:24:02, time: 0.202, data_time: 0.007, memory: 52540, decode.loss_ce: 0.0422, decode.acc_seg: 88.3317, decode.kl_loss: 0.0638, loss: 0.1060 +2023-03-06 02:19:16,929 - mmseg - INFO - Iter [47350/160000] lr: 3.750e-05, eta: 7:23:52, time: 0.250, data_time: 0.055, memory: 52540, decode.loss_ce: 0.0397, decode.acc_seg: 89.1348, decode.kl_loss: 0.0636, loss: 0.1032 +2023-03-06 02:19:26,936 - mmseg - INFO - Iter [47400/160000] lr: 3.750e-05, eta: 7:23:36, time: 0.200, data_time: 0.007, memory: 52540, decode.loss_ce: 0.0374, decode.acc_seg: 89.5695, decode.kl_loss: 0.0633, loss: 0.1007 +2023-03-06 02:19:36,992 - mmseg - INFO - Iter [47450/160000] lr: 3.750e-05, eta: 7:23:20, time: 0.201, data_time: 0.007, memory: 52540, decode.loss_ce: 0.0423, decode.acc_seg: 88.5537, decode.kl_loss: 0.0663, loss: 0.1086 +2023-03-06 02:19:47,018 - mmseg - INFO - Iter [47500/160000] lr: 3.750e-05, eta: 7:23:03, time: 0.201, data_time: 0.007, memory: 52540, decode.loss_ce: 0.0393, decode.acc_seg: 89.0926, decode.kl_loss: 0.0626, loss: 0.1018 +2023-03-06 02:19:57,288 - mmseg - INFO - Iter [47550/160000] lr: 3.750e-05, eta: 7:22:48, time: 0.205, data_time: 0.008, memory: 52540, decode.loss_ce: 0.0408, decode.acc_seg: 88.8224, decode.kl_loss: 0.0616, loss: 0.1025 +2023-03-06 02:20:07,483 - mmseg - INFO - Iter [47600/160000] lr: 3.750e-05, eta: 7:22:32, time: 0.204, data_time: 0.007, memory: 52540, decode.loss_ce: 0.0410, decode.acc_seg: 88.6920, decode.kl_loss: 0.0627, loss: 0.1038 +2023-03-06 02:20:17,674 - mmseg - INFO - Iter [47650/160000] lr: 3.750e-05, eta: 7:22:17, time: 0.204, data_time: 0.007, memory: 52540, decode.loss_ce: 0.0387, decode.acc_seg: 89.3315, decode.kl_loss: 0.0623, loss: 0.1011 +2023-03-06 02:20:27,806 - mmseg - INFO - Iter [47700/160000] lr: 3.750e-05, eta: 7:22:01, time: 0.203, data_time: 0.007, memory: 52540, decode.loss_ce: 0.0392, decode.acc_seg: 89.2089, decode.kl_loss: 0.0613, loss: 0.1005 +2023-03-06 02:20:37,986 - mmseg - INFO - Iter [47750/160000] lr: 3.750e-05, eta: 7:21:45, time: 0.204, data_time: 0.007, memory: 52540, decode.loss_ce: 0.0388, decode.acc_seg: 89.2140, decode.kl_loss: 0.0618, loss: 0.1006 +2023-03-06 02:20:48,067 - mmseg - INFO - Iter [47800/160000] lr: 3.750e-05, eta: 7:21:29, time: 0.202, data_time: 0.007, memory: 52540, decode.loss_ce: 0.0392, decode.acc_seg: 89.2847, decode.kl_loss: 0.0613, loss: 0.1004 +2023-03-06 02:20:58,218 - mmseg - INFO - Iter [47850/160000] lr: 3.750e-05, eta: 7:21:14, time: 0.203, data_time: 0.007, memory: 52540, decode.loss_ce: 0.0380, decode.acc_seg: 89.3423, decode.kl_loss: 0.0609, loss: 0.0989 +2023-03-06 02:21:08,317 - mmseg - INFO - Iter [47900/160000] lr: 3.750e-05, eta: 7:20:58, time: 0.202, data_time: 0.008, memory: 52540, decode.loss_ce: 0.0383, decode.acc_seg: 89.5789, decode.kl_loss: 0.0588, loss: 0.0970 +2023-03-06 02:21:18,430 - mmseg - INFO - Iter [47950/160000] lr: 3.750e-05, eta: 7:20:42, time: 0.202, data_time: 0.007, memory: 52540, decode.loss_ce: 0.0380, decode.acc_seg: 89.5939, decode.kl_loss: 0.0583, loss: 0.0963 +2023-03-06 02:21:31,098 - mmseg - INFO - Swap parameters (after train) after iter [48000] +2023-03-06 02:21:31,112 - mmseg - INFO - Saving checkpoint at 48000 iterations +2023-03-06 02:21:32,280 - mmseg - INFO - Exp name: ablation_segformer_mit_b2_segformer_head_unet_fc_small_multi_step_ade_pretrained_freeze_embed_160k_ade20k151_finetune_ema_ce.py +2023-03-06 02:21:32,280 - mmseg - INFO - Iter [48000/160000] lr: 3.750e-05, eta: 7:20:35, time: 0.277, data_time: 0.055, memory: 52540, decode.loss_ce: 0.0396, decode.acc_seg: 89.1923, decode.kl_loss: 0.0628, loss: 0.1024 +2023-03-06 02:32:19,256 - mmseg - INFO - per class results: +2023-03-06 02:32:19,265 - mmseg - INFO - ++---------------------+-------------------------------------------------------------------+ +| Class | IoU 0,10,20,30,40,50,60,70,80,90,99 | ++---------------------+-------------------------------------------------------------------+ +| background | nan,nan,nan,nan,nan,nan,nan,nan,nan,nan,nan | +| wall | 75.57,75.72,75.7,75.7,75.69,75.68,75.69,75.68,75.67,75.65,75.55 | +| building | 80.82,80.82,80.82,80.83,80.83,80.82,80.81,80.81,80.81,80.79,80.72 | +| sky | 93.86,93.92,93.92,93.93,93.92,93.92,93.91,93.9,93.88,93.84,93.75 | +| floor | 79.93,80.05,80.06,80.06,80.06,80.08,80.07,80.1,80.09,80.09,80.08 | +| tree | 73.08,73.19,73.17,73.2,73.19,73.16,73.14,73.08,73.01,72.88,72.63 | +| ceiling | 83.29,83.44,83.43,83.46,83.46,83.45,83.44,83.41,83.37,83.31,83.23 | +| road | 80.7,80.8,80.79,80.8,80.79,80.78,80.77,80.72,80.69,80.63,80.56 | +| bed | 85.35,85.45,85.45,85.5,85.51,85.49,85.47,85.44,85.4,85.41,85.37 | +| windowpane | 58.2,58.44,58.44,58.46,58.44,58.41,58.37,58.29,58.24,58.12,57.93 | +| grass | 64.26,65.03,65.09,65.03,65.01,64.98,64.92,64.85,64.72,64.57,64.4 | +| cabinet | 58.58,58.76,58.81,58.84,58.83,58.87,58.75,58.74,58.71,58.59,58.46 | +| sidewalk | 60.84,61.07,61.03,61.03,60.98,60.95,60.9,60.83,60.78,60.64,60.49 | +| person | 77.1,77.29,77.33,77.3,77.3,77.29,77.28,77.28,77.27,77.24,77.16 | +| earth | 34.55,34.69,34.7,34.68,34.7,34.65,34.63,34.56,34.5,34.43,34.35 | +| door | 42.37,42.53,42.53,42.53,42.54,42.52,42.49,42.46,42.47,42.53,42.57 | +| table | 54.87,55.13,55.2,55.15,55.19,55.12,55.12,54.97,54.91,54.74,54.4 | +| mountain | 55.8,55.9,55.89,55.96,55.94,55.95,55.96,55.97,55.99,55.99,55.93 | +| plant | 48.25,48.44,48.39,48.44,48.43,48.4,48.4,48.42,48.36,48.31,48.22 | +| curtain | 72.06,72.28,72.31,72.35,72.34,72.33,72.37,72.28,72.24,72.17,72.12 | +| chair | 52.45,52.72,52.72,52.8,52.78,52.75,52.68,52.66,52.63,52.57,52.44 | +| car | 80.76,80.79,80.83,80.85,80.8,80.85,80.8,80.78,80.72,80.67,80.57 | +| water | 56.63,56.72,56.75,56.77,56.79,56.79,56.8,56.79,56.79,56.75,56.67 | +| painting | 68.22,68.57,68.57,68.63,68.54,68.43,68.39,68.27,68.12,68.0,67.74 | +| sofa | 61.22,61.57,61.56,61.57,61.55,61.54,61.55,61.53,61.5,61.38,61.28 | +| shelf | 39.11,40.01,39.97,39.99,39.8,39.81,39.6,39.37,39.13,38.73,38.05 | +| house | 37.14,37.24,37.18,37.35,37.34,37.5,37.54,37.64,37.85,38.09,38.32 | +| sea | 59.63,59.72,59.77,59.84,59.84,59.91,59.89,59.89,59.93,59.88,59.83 | +| mirror | 59.6,60.02,59.93,59.93,59.93,59.94,59.89,59.79,59.79,59.76,59.82 | +| rug | 60.62,60.95,60.9,60.93,60.93,60.92,60.86,60.88,60.87,60.97,61.13 | +| field | 28.73,29.45,29.5,29.48,29.42,29.35,29.26,29.13,28.96,28.79,28.68 | +| armchair | 34.47,34.73,34.73,34.68,34.68,34.68,34.68,34.61,34.58,34.6,34.48 | +| seat | 65.01,64.91,65.07,65.05,65.04,65.04,65.05,65.07,65.03,64.99,64.91 | +| fence | 37.43,37.66,37.65,37.47,37.55,37.6,37.6,37.73,37.82,37.94,37.98 | +| desk | 44.54,44.78,44.9,44.9,44.85,44.85,44.8,44.68,44.62,44.46,44.34 | +| rock | 37.25,37.22,37.16,37.17,37.14,37.2,37.13,37.15,37.16,37.12,37.11 | +| wardrobe | 54.59,54.85,54.93,55.06,55.09,55.19,55.12,55.13,55.11,54.96,54.8 | +| lamp | 56.53,57.1,57.07,57.01,57.05,56.85,56.88,56.86,56.77,56.73,56.59 | +| bathtub | 72.28,72.21,72.33,72.29,72.21,72.35,72.39,72.42,72.39,72.4,72.45 | +| railing | 33.61,33.66,33.65,33.72,33.77,33.78,33.87,33.93,34.0,33.94,33.95 | +| cushion | 49.76,50.14,50.26,50.16,50.25,50.12,50.07,50.03,49.79,49.7,49.42 | +| base | 19.37,19.63,19.65,19.73,19.77,19.65,19.62,19.59,19.49,19.55,19.61 | +| box | 21.08,21.21,21.33,21.34,21.36,21.5,21.51,21.47,21.5,21.5,21.37 | +| column | 41.91,42.23,42.22,42.26,42.34,42.41,42.36,42.42,42.4,42.41,42.37 | +| signboard | 34.09,34.62,34.53,34.51,34.53,34.51,34.44,34.52,34.46,34.47,34.5 | +| chest of drawers | 35.5,35.42,35.48,35.56,35.71,35.76,35.78,35.83,35.79,35.62,35.53 | +| counter | 28.71,28.71,28.64,28.63,28.63,28.79,28.63,28.73,28.71,28.58,28.58 | +| sand | 36.61,36.6,36.61,36.6,36.57,36.63,36.52,36.67,36.72,36.8,36.82 | +| sink | 62.16,62.52,62.56,62.49,62.56,62.49,62.5,62.25,62.31,62.11,61.86 | +| skyscraper | 49.79,49.19,49.17,49.44,49.71,49.94,50.17,50.61,50.91,51.32,51.6 | +| fireplace | 72.42,72.74,72.98,72.98,73.05,73.1,73.04,72.96,72.82,72.66,72.48 | +| refrigerator | 70.61,71.01,71.16,71.15,71.21,71.21,71.22,71.16,71.29,71.17,71.06 | +| grandstand | 51.46,50.97,51.3,51.48,51.52,51.51,51.72,51.75,51.72,51.68,51.57 | +| path | 20.04,20.23,20.22,20.12,20.19,20.19,20.23,20.19,20.14,20.16,20.1 | +| stairs | 30.82,30.84,30.94,30.91,30.84,30.82,30.81,30.67,30.63,30.55,30.52 | +| runway | 66.48,66.03,66.14,66.22,66.4,66.47,66.62,66.66,66.77,66.83,66.79 | +| case | 46.94,47.78,47.69,47.77,47.74,47.64,47.59,47.68,47.57,47.51,47.4 | +| pool table | 90.37,90.47,90.52,90.44,90.47,90.5,90.53,90.5,90.46,90.46,90.44 | +| pillow | 49.27,49.55,49.69,49.65,49.75,49.65,49.74,49.75,49.73,49.87,50.24 | +| screen door | 64.01,64.36,64.26,64.19,64.37,64.21,64.29,64.25,64.12,64.05,63.99 | +| stairway | 22.77,23.21,23.24,23.25,23.23,23.21,23.16,23.1,23.04,22.97,22.92 | +| river | 11.25,11.17,11.15,11.18,11.18,11.17,11.14,11.1,11.14,11.15,11.19 | +| bridge | 34.92,34.31,34.33,34.47,34.56,34.56,34.75,34.94,35.1,35.2,35.31 | +| bookcase | 38.91,39.99,39.96,39.99,39.81,39.86,39.76,39.7,39.67,39.42,39.13 | +| blind | 31.76,32.04,32.03,31.99,32.06,31.97,31.95,32.09,32.16,32.19,32.33 | +| coffee table | 51.57,52.06,51.91,51.87,51.94,51.96,51.85,51.72,51.66,51.36,51.14 | +| toilet | 78.49,78.78,78.78,78.87,78.88,78.89,78.81,78.72,78.7,78.5,78.37 | +| flower | 37.07,37.37,37.3,37.33,37.38,37.42,37.33,37.23,37.2,37.24,37.2 | +| book | 41.82,42.14,42.16,42.19,42.08,42.17,42.12,41.97,42.06,42.1,41.97 | +| hill | 12.71,12.72,12.61,12.7,12.69,12.63,12.69,12.73,12.76,12.87,12.94 | +| bench | 40.11,40.54,40.39,40.42,40.37,40.22,40.16,39.99,39.88,39.7,39.56 | +| countertop | 49.6,49.75,49.72,49.72,49.85,49.74,49.82,49.75,49.73,49.76,49.69 | +| stove | 67.58,67.95,68.11,68.09,67.97,68.09,68.06,68.03,67.98,68.03,67.92 | +| palm | 46.89,47.08,47.07,47.16,47.1,47.1,47.18,47.09,47.2,47.07,47.06 | +| kitchen island | 33.29,33.8,33.88,33.99,33.91,33.9,33.91,33.92,33.83,33.8,33.77 | +| computer | 57.28,57.27,57.26,57.31,57.41,57.49,57.41,57.56,57.47,57.42,57.31 | +| swivel chair | 39.67,39.7,39.84,39.89,40.0,40.17,40.29,40.5,40.96,41.19,41.49 | +| boat | 68.24,68.62,68.89,68.69,68.98,68.94,68.85,68.93,69.07,69.08,69.01 | +| bar | 22.79,22.99,22.99,22.94,22.98,23.0,22.98,23.0,23.03,23.14,23.2 | +| arcade machine | 69.55,70.18,70.3,70.64,70.68,70.75,70.98,70.99,71.38,71.58,71.79 | +| hovel | 23.36,22.31,22.24,22.41,22.73,22.87,23.1,23.86,24.38,24.7,24.98 | +| bus | 73.61,72.56,72.64,72.77,72.83,73.09,73.09,73.18,73.27,73.47,73.54 | +| towel | 57.57,57.45,57.69,57.72,57.81,57.96,58.0,58.06,58.19,58.31,58.37 | +| light | 31.34,30.63,31.15,31.54,32.06,32.38,32.59,32.97,33.12,33.29,33.45 | +| truck | 18.03,18.38,18.17,18.02,18.04,17.79,18.08,17.89,18.17,18.3,18.28 | +| tower | 9.47,9.14,9.19,9.39,9.48,9.53,9.72,9.92,10.17,10.5,10.73 | +| chandelier | 60.92,61.09,61.27,61.04,61.13,61.09,60.94,60.98,60.95,60.9,60.8 | +| awning | 17.73,17.41,17.41,17.48,17.49,17.71,17.97,18.1,18.45,18.86,19.1 | +| streetlight | 21.66,21.62,21.61,21.57,21.41,21.58,21.61,21.67,21.69,21.83,21.86 | +| booth | 37.57,38.02,37.79,37.36,37.39,37.24,36.96,36.95,37.08,37.16,37.39 | +| television receiver | 63.4,63.37,63.54,63.49,63.49,63.7,63.58,63.53,63.55,63.47,63.38 | +| airplane | 54.68,54.83,54.96,54.89,54.83,55.08,55.02,55.06,55.02,55.19,55.12 | +| dirt track | 13.25,13.16,13.64,13.55,13.34,13.56,13.63,13.55,13.48,13.49,13.41 | +| apparel | 34.99,35.36,35.2,35.33,35.41,35.39,35.27,35.25,34.99,34.79,34.77 | +| pole | 11.63,12.12,12.28,12.27,12.17,12.41,12.38,12.46,12.62,12.8,12.87 | +| land | 2.68,2.62,2.68,2.68,2.69,2.71,2.72,2.68,2.73,2.79,2.82 | +| bannister | 11.02,10.74,10.51,10.59,10.65,10.63,10.83,11.0,11.06,11.28,11.47 | +| escalator | 23.03,23.19,23.26,23.09,23.15,23.03,23.08,23.38,23.57,23.79,24.15 | +| ottoman | 34.97,35.71,35.8,35.63,35.67,35.47,35.6,35.27,35.22,35.09,34.91 | +| bottle | 31.98,31.31,31.49,31.38,31.71,31.8,31.89,32.16,32.36,32.38,32.54 | +| buffet | 31.71,31.68,31.57,31.66,31.66,31.76,31.55,32.03,32.34,32.57,32.88 | +| poster | 21.53,21.51,21.73,21.78,21.86,21.84,21.91,21.66,21.6,21.64,21.71 | +| stage | 14.08,14.3,14.53,14.5,14.47,14.57,14.65,14.59,14.55,14.41,14.44 | +| van | 37.47,37.52,37.53,37.55,37.55,37.64,37.57,37.58,37.64,37.65,37.66 | +| ship | 76.71,76.15,76.3,76.65,76.93,76.96,77.32,77.44,77.45,77.46,77.41 | +| fountain | 5.4,4.97,4.95,4.78,4.66,4.59,4.78,4.97,5.24,5.43,5.56 | +| conveyer belt | 77.72,78.78,79.03,79.27,79.25,79.31,79.04,78.94,78.78,78.44,78.11 | +| canopy | 19.14,20.15,20.18,19.84,19.84,19.54,19.29,19.0,18.64,18.47,18.31 | +| washer | 70.17,70.45,70.34,70.31,70.19,70.2,70.28,70.62,70.95,71.39,71.72 | +| plaything | 18.88,19.35,19.2,19.13,19.02,19.05,19.21,19.02,19.0,19.03,19.14 | +| swimming pool | 72.38,72.16,72.26,72.04,72.02,72.31,72.07,72.48,72.56,72.66,72.72 | +| stool | 34.24,34.12,34.73,34.98,34.84,34.92,35.14,35.51,35.58,35.8,35.97 | +| barrel | 37.43,34.46,35.31,37.42,37.74,37.27,38.76,40.33,39.98,39.77,40.15 | +| basket | 23.66,23.88,24.02,24.05,23.99,23.94,23.81,23.82,23.86,23.64,23.59 | +| waterfall | 50.51,50.38,50.5,50.27,50.49,50.34,50.45,50.26,50.46,50.12,49.98 | +| tent | 94.07,94.81,94.87,94.81,94.67,94.74,94.56,94.32,94.21,93.99,93.88 | +| bag | 8.45,8.48,8.43,8.49,8.58,8.66,8.65,8.77,8.94,9.12,9.29 | +| minibike | 59.94,60.31,60.3,59.96,60.03,60.2,60.29,60.59,60.87,60.76,60.82 | +| cradle | 80.75,80.72,80.9,80.77,80.81,81.01,81.11,81.16,81.35,81.57,81.7 | +| oven | 44.32,45.38,45.78,46.26,46.69,46.85,46.43,46.74,46.96,46.93,47.04 | +| ball | 39.54,39.62,39.55,39.58,39.56,39.6,39.86,39.9,39.95,39.96,40.16 | +| food | 45.52,45.61,46.09,46.08,46.39,46.7,46.72,46.81,46.65,46.49,46.41 | +| step | 5.08,4.9,5.03,5.15,5.17,5.27,5.32,5.39,5.42,5.64,5.7 | +| tank | 52.89,52.93,52.88,53.14,53.18,53.25,53.28,53.37,53.32,53.55,53.57 | +| trade name | 24.41,24.83,24.77,24.61,24.81,24.82,24.61,24.66,24.92,25.15,25.37 | +| microwave | 73.47,74.56,74.81,74.85,75.03,75.2,75.1,75.18,75.27,75.27,75.18 | +| pot | 25.4,25.62,25.53,25.77,25.88,25.57,25.81,25.83,26.06,26.13,26.28 | +| animal | 53.23,53.49,53.53,53.47,53.58,53.49,53.61,53.52,53.5,53.38,53.32 | +| bicycle | 48.1,48.01,48.31,48.24,48.65,48.36,48.44,48.6,48.61,48.24,48.0 | +| lake | 54.49,55.09,55.29,55.29,55.53,55.35,55.48,55.46,55.47,55.4,55.4 | +| dishwasher | 56.36,57.1,57.12,57.09,57.21,56.97,57.2,57.0,56.71,56.29,55.76 | +| screen | 61.23,62.08,62.43,62.24,62.31,62.18,62.16,61.96,61.73,61.54,61.38 | +| blanket | 14.27,13.82,13.92,13.9,14.01,14.15,14.11,14.31,14.42,14.55,14.68 | +| sculpture | 55.73,57.37,57.4,56.94,57.2,56.86,56.45,56.25,55.87,55.4,54.97 | +| hood | 53.72,53.71,54.35,54.47,54.44,54.6,54.6,54.7,54.84,54.78,54.75 | +| sconce | 31.2,31.83,32.18,32.48,32.43,32.67,32.65,32.4,32.3,32.5,32.25 | +| vase | 29.65,30.22,30.29,30.36,30.29,30.27,30.3,29.88,29.9,29.56,29.14 | +| traffic light | 17.68,18.44,18.38,18.39,18.53,18.53,18.61,18.85,18.53,18.49,17.95 | +| tray | 5.59,5.57,5.56,5.59,5.55,5.79,5.81,5.85,6.02,6.27,6.15 | +| ashcan | 31.86,32.95,32.75,32.97,32.93,32.9,32.79,32.96,32.97,32.92,32.93 | +| fan | 48.99,48.5,48.77,48.86,49.25,49.74,49.97,50.65,50.7,51.22,51.54 | +| pier | 31.55,35.43,35.64,35.04,34.92,34.15,34.0,33.91,34.22,34.65,34.9 | +| crt screen | 1.23,1.91,1.84,1.52,1.53,1.3,1.16,1.13,1.09,0.91,0.94 | +| plate | 42.3,43.08,43.6,43.79,44.39,44.69,45.21,45.4,46.2,46.46,46.67 | +| monitor | 13.03,12.48,12.0,11.9,11.41,11.13,11.18,11.18,11.03,11.15,11.5 | +| bulletin board | 27.66,29.65,29.87,29.79,29.72,29.66,29.48,29.55,29.59,29.53,29.55 | +| shower | 0.48,0.45,0.35,0.36,0.36,0.39,0.39,0.4,0.45,0.44,0.48 | +| radiator | 53.5,53.35,53.46,54.33,54.45,54.85,55.19,55.43,55.96,56.33,56.58 | +| glass | 10.34,9.88,9.9,9.77,10.17,10.1,10.19,10.44,10.47,10.67,10.82 | +| clock | 29.7,29.18,29.35,29.13,29.26,29.49,29.94,30.55,30.14,30.86,30.83 | +| flag | 31.8,31.84,32.0,31.87,31.75,31.91,31.88,32.06,32.18,32.28,32.45 | ++---------------------+-------------------------------------------------------------------+ +2023-03-06 02:32:19,265 - mmseg - INFO - Summary: +2023-03-06 02:32:19,265 - mmseg - INFO - ++-------------------------------------------------------------------+ +| mIoU 0,10,20,30,40,50,60,70,80,90,99 | ++-------------------------------------------------------------------+ +| 44.66,44.85,44.92,44.94,44.98,44.99,45.01,45.05,45.08,45.08,45.07 | ++-------------------------------------------------------------------+ +2023-03-06 02:32:19,266 - mmseg - INFO - Exp name: ablation_segformer_mit_b2_segformer_head_unet_fc_small_multi_step_ade_pretrained_freeze_embed_160k_ade20k151_finetune_ema_ce.py +2023-03-06 02:32:19,266 - mmseg - INFO - Iter(val) [250] mIoU: [0.4466, 0.4485, 0.4492, 0.4494, 0.4498, 0.4499, 0.4501, 0.4505, 0.4508, 0.4508, 0.4507], copy_paste: 44.66,44.85,44.92,44.94,44.98,44.99,45.01,45.05,45.08,45.08,45.07 +2023-03-06 02:32:19,273 - mmseg - INFO - Swap parameters (before train) before iter [48001] +2023-03-06 02:32:29,943 - mmseg - INFO - Iter [48050/160000] lr: 3.750e-05, eta: 7:45:28, time: 13.153, data_time: 12.948, memory: 52540, decode.loss_ce: 0.0370, decode.acc_seg: 89.7333, decode.kl_loss: 0.0601, loss: 0.0971 +2023-03-06 02:32:40,115 - mmseg - INFO - Iter [48100/160000] lr: 3.750e-05, eta: 7:45:10, time: 0.203, data_time: 0.007, memory: 52540, decode.loss_ce: 0.0375, decode.acc_seg: 89.4972, decode.kl_loss: 0.0600, loss: 0.0975 +2023-03-06 02:32:50,166 - mmseg - INFO - Iter [48150/160000] lr: 3.750e-05, eta: 7:44:52, time: 0.201, data_time: 0.007, memory: 52540, decode.loss_ce: 0.0368, decode.acc_seg: 89.7930, decode.kl_loss: 0.0622, loss: 0.0989 +2023-03-06 02:33:00,330 - mmseg - INFO - Iter [48200/160000] lr: 3.750e-05, eta: 7:44:34, time: 0.204, data_time: 0.008, memory: 52540, decode.loss_ce: 0.0414, decode.acc_seg: 88.8571, decode.kl_loss: 0.0625, loss: 0.1039 +2023-03-06 02:33:10,508 - mmseg - INFO - Iter [48250/160000] lr: 3.750e-05, eta: 7:44:17, time: 0.204, data_time: 0.007, memory: 52540, decode.loss_ce: 0.0448, decode.acc_seg: 87.6560, decode.kl_loss: 0.0673, loss: 0.1120 +2023-03-06 02:33:20,422 - mmseg - INFO - Iter [48300/160000] lr: 3.750e-05, eta: 7:43:58, time: 0.198, data_time: 0.007, memory: 52540, decode.loss_ce: 0.0385, decode.acc_seg: 89.2733, decode.kl_loss: 0.0611, loss: 0.0996 +2023-03-06 02:33:30,508 - mmseg - INFO - Iter [48350/160000] lr: 3.750e-05, eta: 7:43:40, time: 0.202, data_time: 0.007, memory: 52540, decode.loss_ce: 0.0392, decode.acc_seg: 89.2133, decode.kl_loss: 0.0550, loss: 0.0942 +2023-03-06 02:33:40,554 - mmseg - INFO - Iter [48400/160000] lr: 3.750e-05, eta: 7:43:22, time: 0.201, data_time: 0.008, memory: 52540, decode.loss_ce: 0.0375, decode.acc_seg: 90.0056, decode.kl_loss: 0.0523, loss: 0.0898 +2023-03-06 02:33:50,840 - mmseg - INFO - Iter [48450/160000] lr: 3.750e-05, eta: 7:43:05, time: 0.206, data_time: 0.007, memory: 52540, decode.loss_ce: 0.0380, decode.acc_seg: 89.5901, decode.kl_loss: 0.0536, loss: 0.0917 +2023-03-06 02:34:00,796 - mmseg - INFO - Iter [48500/160000] lr: 3.750e-05, eta: 7:42:47, time: 0.199, data_time: 0.007, memory: 52540, decode.loss_ce: 0.0370, decode.acc_seg: 89.8899, decode.kl_loss: 0.0550, loss: 0.0921 +2023-03-06 02:34:10,926 - mmseg - INFO - Iter [48550/160000] lr: 3.750e-05, eta: 7:42:29, time: 0.203, data_time: 0.007, memory: 52540, decode.loss_ce: 0.0375, decode.acc_seg: 89.7355, decode.kl_loss: 0.0524, loss: 0.0899 +2023-03-06 02:34:23,510 - mmseg - INFO - Iter [48600/160000] lr: 3.750e-05, eta: 7:42:17, time: 0.252, data_time: 0.053, memory: 52540, decode.loss_ce: 0.0372, decode.acc_seg: 89.8229, decode.kl_loss: 0.0521, loss: 0.0893 +2023-03-06 02:34:33,533 - mmseg - INFO - Iter [48650/160000] lr: 3.750e-05, eta: 7:41:59, time: 0.200, data_time: 0.007, memory: 52540, decode.loss_ce: 0.0351, decode.acc_seg: 90.1687, decode.kl_loss: 0.0526, loss: 0.0877 +2023-03-06 02:34:43,553 - mmseg - INFO - Iter [48700/160000] lr: 3.750e-05, eta: 7:41:41, time: 0.200, data_time: 0.007, memory: 52540, decode.loss_ce: 0.0385, decode.acc_seg: 89.5007, decode.kl_loss: 0.0538, loss: 0.0923 +2023-03-06 02:34:53,682 - mmseg - INFO - Iter [48750/160000] lr: 3.750e-05, eta: 7:41:23, time: 0.203, data_time: 0.007, memory: 52540, decode.loss_ce: 0.0380, decode.acc_seg: 89.4819, decode.kl_loss: 0.0601, loss: 0.0980 +2023-03-06 02:35:03,559 - mmseg - INFO - Iter [48800/160000] lr: 3.750e-05, eta: 7:41:05, time: 0.198, data_time: 0.007, memory: 52540, decode.loss_ce: 0.0355, decode.acc_seg: 90.2186, decode.kl_loss: 0.0597, loss: 0.0952 +2023-03-06 02:35:13,529 - mmseg - INFO - Iter [48850/160000] lr: 3.750e-05, eta: 7:40:47, time: 0.199, data_time: 0.007, memory: 52540, decode.loss_ce: 0.0372, decode.acc_seg: 89.6111, decode.kl_loss: 0.0570, loss: 0.0942 +2023-03-06 02:35:23,660 - mmseg - INFO - Iter [48900/160000] lr: 3.750e-05, eta: 7:40:29, time: 0.203, data_time: 0.008, memory: 52540, decode.loss_ce: 0.0360, decode.acc_seg: 90.0996, decode.kl_loss: 0.0573, loss: 0.0933 +2023-03-06 02:35:33,641 - mmseg - INFO - Iter [48950/160000] lr: 3.750e-05, eta: 7:40:11, time: 0.200, data_time: 0.007, memory: 52540, decode.loss_ce: 0.0365, decode.acc_seg: 89.7130, decode.kl_loss: 0.0627, loss: 0.0992 +2023-03-06 02:35:43,683 - mmseg - INFO - Exp name: ablation_segformer_mit_b2_segformer_head_unet_fc_small_multi_step_ade_pretrained_freeze_embed_160k_ade20k151_finetune_ema_ce.py +2023-03-06 02:35:43,683 - mmseg - INFO - Iter [49000/160000] lr: 3.750e-05, eta: 7:39:53, time: 0.201, data_time: 0.007, memory: 52540, decode.loss_ce: 0.0359, decode.acc_seg: 90.0270, decode.kl_loss: 0.0563, loss: 0.0923 +2023-03-06 02:35:53,865 - mmseg - INFO - Iter [49050/160000] lr: 3.750e-05, eta: 7:39:36, time: 0.204, data_time: 0.007, memory: 52540, decode.loss_ce: 0.0396, decode.acc_seg: 89.0552, decode.kl_loss: 0.0648, loss: 0.1043 +2023-03-06 02:36:03,822 - mmseg - INFO - Iter [49100/160000] lr: 3.750e-05, eta: 7:39:18, time: 0.199, data_time: 0.007, memory: 52540, decode.loss_ce: 0.0411, decode.acc_seg: 88.8341, decode.kl_loss: 0.0630, loss: 0.1041 +2023-03-06 02:36:14,096 - mmseg - INFO - Iter [49150/160000] lr: 3.750e-05, eta: 7:39:00, time: 0.205, data_time: 0.007, memory: 52540, decode.loss_ce: 0.0399, decode.acc_seg: 89.0705, decode.kl_loss: 0.0598, loss: 0.0998 +2023-03-06 02:36:24,143 - mmseg - INFO - Iter [49200/160000] lr: 3.750e-05, eta: 7:38:43, time: 0.201, data_time: 0.007, memory: 52540, decode.loss_ce: 0.0385, decode.acc_seg: 89.4195, decode.kl_loss: 0.0590, loss: 0.0974 +2023-03-06 02:36:36,637 - mmseg - INFO - Iter [49250/160000] lr: 3.750e-05, eta: 7:38:30, time: 0.250, data_time: 0.056, memory: 52540, decode.loss_ce: 0.0390, decode.acc_seg: 89.2712, decode.kl_loss: 0.0624, loss: 0.1014 +2023-03-06 02:36:46,665 - mmseg - INFO - Iter [49300/160000] lr: 3.750e-05, eta: 7:38:13, time: 0.201, data_time: 0.007, memory: 52540, decode.loss_ce: 0.0430, decode.acc_seg: 88.4427, decode.kl_loss: 0.0697, loss: 0.1127 +2023-03-06 02:36:57,099 - mmseg - INFO - Iter [49350/160000] lr: 3.750e-05, eta: 7:37:56, time: 0.209, data_time: 0.007, memory: 52540, decode.loss_ce: 0.0533, decode.acc_seg: 85.9141, decode.kl_loss: 0.0776, loss: 0.1309 +2023-03-06 02:37:07,115 - mmseg - INFO - Iter [49400/160000] lr: 3.750e-05, eta: 7:37:38, time: 0.200, data_time: 0.007, memory: 52540, decode.loss_ce: 0.0441, decode.acc_seg: 87.7406, decode.kl_loss: 0.0728, loss: 0.1168 +2023-03-06 02:37:17,350 - mmseg - INFO - Iter [49450/160000] lr: 3.750e-05, eta: 7:37:21, time: 0.205, data_time: 0.008, memory: 52540, decode.loss_ce: 0.0458, decode.acc_seg: 87.6308, decode.kl_loss: 0.0709, loss: 0.1167 +2023-03-06 02:37:27,434 - mmseg - INFO - Iter [49500/160000] lr: 3.750e-05, eta: 7:37:03, time: 0.201, data_time: 0.007, memory: 52540, decode.loss_ce: 0.0443, decode.acc_seg: 87.6162, decode.kl_loss: 0.0702, loss: 0.1145 +2023-03-06 02:37:37,726 - mmseg - INFO - Iter [49550/160000] lr: 3.750e-05, eta: 7:36:46, time: 0.206, data_time: 0.008, memory: 52540, decode.loss_ce: 0.0398, decode.acc_seg: 89.0207, decode.kl_loss: 0.0646, loss: 0.1044 +2023-03-06 02:37:47,681 - mmseg - INFO - Iter [49600/160000] lr: 3.750e-05, eta: 7:36:28, time: 0.199, data_time: 0.007, memory: 52540, decode.loss_ce: 0.0405, decode.acc_seg: 88.6656, decode.kl_loss: 0.0684, loss: 0.1089 +2023-03-06 02:37:57,615 - mmseg - INFO - Iter [49650/160000] lr: 3.750e-05, eta: 7:36:10, time: 0.199, data_time: 0.007, memory: 52540, decode.loss_ce: 0.0401, decode.acc_seg: 88.9066, decode.kl_loss: 0.0692, loss: 0.1092 +2023-03-06 02:38:07,634 - mmseg - INFO - Iter [49700/160000] lr: 3.750e-05, eta: 7:35:52, time: 0.200, data_time: 0.007, memory: 52540, decode.loss_ce: 0.0469, decode.acc_seg: 87.4114, decode.kl_loss: 0.0674, loss: 0.1143 +2023-03-06 02:38:17,615 - mmseg - INFO - Iter [49750/160000] lr: 3.750e-05, eta: 7:35:35, time: 0.200, data_time: 0.007, memory: 52540, decode.loss_ce: 0.0463, decode.acc_seg: 87.4765, decode.kl_loss: 0.0632, loss: 0.1096 +2023-03-06 02:38:27,543 - mmseg - INFO - Iter [49800/160000] lr: 3.750e-05, eta: 7:35:17, time: 0.199, data_time: 0.007, memory: 52540, decode.loss_ce: 0.0384, decode.acc_seg: 89.4227, decode.kl_loss: 0.0587, loss: 0.0971 +2023-03-06 02:38:40,243 - mmseg - INFO - Iter [49850/160000] lr: 3.750e-05, eta: 7:35:05, time: 0.254, data_time: 0.057, memory: 52540, decode.loss_ce: 0.0408, decode.acc_seg: 88.9591, decode.kl_loss: 0.0635, loss: 0.1043 +2023-03-06 02:38:50,382 - mmseg - INFO - Iter [49900/160000] lr: 3.750e-05, eta: 7:34:48, time: 0.203, data_time: 0.007, memory: 52540, decode.loss_ce: 0.0396, decode.acc_seg: 89.1337, decode.kl_loss: 0.0591, loss: 0.0986 +2023-03-06 02:39:00,426 - mmseg - INFO - Iter [49950/160000] lr: 3.750e-05, eta: 7:34:30, time: 0.201, data_time: 0.007, memory: 52540, decode.loss_ce: 0.0398, decode.acc_seg: 89.0600, decode.kl_loss: 0.0596, loss: 0.0993 +2023-03-06 02:39:10,406 - mmseg - INFO - Exp name: ablation_segformer_mit_b2_segformer_head_unet_fc_small_multi_step_ade_pretrained_freeze_embed_160k_ade20k151_finetune_ema_ce.py +2023-03-06 02:39:10,406 - mmseg - INFO - Iter [50000/160000] lr: 3.750e-05, eta: 7:34:12, time: 0.200, data_time: 0.007, memory: 52540, decode.loss_ce: 0.0409, decode.acc_seg: 88.7436, decode.kl_loss: 0.0615, loss: 0.1024 +2023-03-06 02:39:20,760 - mmseg - INFO - Iter [50050/160000] lr: 3.750e-05, eta: 7:33:56, time: 0.207, data_time: 0.007, memory: 52540, decode.loss_ce: 0.0400, decode.acc_seg: 89.0689, decode.kl_loss: 0.0616, loss: 0.1016 +2023-03-06 02:39:30,990 - mmseg - INFO - Iter [50100/160000] lr: 3.750e-05, eta: 7:33:39, time: 0.205, data_time: 0.007, memory: 52540, decode.loss_ce: 0.0411, decode.acc_seg: 88.5890, decode.kl_loss: 0.0652, loss: 0.1063 +2023-03-06 02:39:41,102 - mmseg - INFO - Iter [50150/160000] lr: 3.750e-05, eta: 7:33:21, time: 0.202, data_time: 0.007, memory: 52540, decode.loss_ce: 0.0415, decode.acc_seg: 88.6196, decode.kl_loss: 0.0638, loss: 0.1053 +2023-03-06 02:39:51,075 - mmseg - INFO - Iter [50200/160000] lr: 3.750e-05, eta: 7:33:03, time: 0.199, data_time: 0.007, memory: 52540, decode.loss_ce: 0.0371, decode.acc_seg: 89.5802, decode.kl_loss: 0.0588, loss: 0.0958 +2023-03-06 02:40:01,098 - mmseg - INFO - Iter [50250/160000] lr: 3.750e-05, eta: 7:32:46, time: 0.200, data_time: 0.007, memory: 52540, decode.loss_ce: 0.0388, decode.acc_seg: 89.4687, decode.kl_loss: 0.0607, loss: 0.0995 +2023-03-06 02:40:11,040 - mmseg - INFO - Iter [50300/160000] lr: 3.750e-05, eta: 7:32:28, time: 0.199, data_time: 0.007, memory: 52540, decode.loss_ce: 0.0392, decode.acc_seg: 89.1782, decode.kl_loss: 0.0579, loss: 0.0971 +2023-03-06 02:40:21,272 - mmseg - INFO - Iter [50350/160000] lr: 3.750e-05, eta: 7:32:11, time: 0.205, data_time: 0.007, memory: 52540, decode.loss_ce: 0.0393, decode.acc_seg: 89.1608, decode.kl_loss: 0.0581, loss: 0.0974 +2023-03-06 02:40:31,365 - mmseg - INFO - Iter [50400/160000] lr: 3.750e-05, eta: 7:31:54, time: 0.202, data_time: 0.007, memory: 52540, decode.loss_ce: 0.0386, decode.acc_seg: 89.3674, decode.kl_loss: 0.0588, loss: 0.0974 +2023-03-06 02:40:41,318 - mmseg - INFO - Iter [50450/160000] lr: 3.750e-05, eta: 7:31:36, time: 0.199, data_time: 0.007, memory: 52540, decode.loss_ce: 0.0401, decode.acc_seg: 88.9006, decode.kl_loss: 0.0574, loss: 0.0975 +2023-03-06 02:40:54,299 - mmseg - INFO - Iter [50500/160000] lr: 3.750e-05, eta: 7:31:25, time: 0.260, data_time: 0.054, memory: 52540, decode.loss_ce: 0.0401, decode.acc_seg: 89.0994, decode.kl_loss: 0.0579, loss: 0.0980 +2023-03-06 02:41:04,488 - mmseg - INFO - Iter [50550/160000] lr: 3.750e-05, eta: 7:31:08, time: 0.204, data_time: 0.007, memory: 52540, decode.loss_ce: 0.0364, decode.acc_seg: 89.9757, decode.kl_loss: 0.0542, loss: 0.0906 +2023-03-06 02:41:14,530 - mmseg - INFO - Iter [50600/160000] lr: 3.750e-05, eta: 7:30:51, time: 0.201, data_time: 0.007, memory: 52540, decode.loss_ce: 0.0369, decode.acc_seg: 89.6973, decode.kl_loss: 0.0562, loss: 0.0931 +2023-03-06 02:41:24,613 - mmseg - INFO - Iter [50650/160000] lr: 3.750e-05, eta: 7:30:33, time: 0.202, data_time: 0.007, memory: 52540, decode.loss_ce: 0.0393, decode.acc_seg: 89.2331, decode.kl_loss: 0.0608, loss: 0.1001 +2023-03-06 02:41:34,583 - mmseg - INFO - Iter [50700/160000] lr: 3.750e-05, eta: 7:30:16, time: 0.199, data_time: 0.007, memory: 52540, decode.loss_ce: 0.0403, decode.acc_seg: 88.8792, decode.kl_loss: 0.0599, loss: 0.1002 +2023-03-06 02:41:44,721 - mmseg - INFO - Iter [50750/160000] lr: 3.750e-05, eta: 7:29:59, time: 0.203, data_time: 0.007, memory: 52540, decode.loss_ce: 0.0431, decode.acc_seg: 88.0955, decode.kl_loss: 0.0655, loss: 0.1087 +2023-03-06 02:41:54,799 - mmseg - INFO - Iter [50800/160000] lr: 3.750e-05, eta: 7:29:42, time: 0.202, data_time: 0.007, memory: 52540, decode.loss_ce: 0.0422, decode.acc_seg: 88.3402, decode.kl_loss: 0.0647, loss: 0.1068 +2023-03-06 02:42:04,791 - mmseg - INFO - Iter [50850/160000] lr: 3.750e-05, eta: 7:29:24, time: 0.200, data_time: 0.007, memory: 52540, decode.loss_ce: 0.0423, decode.acc_seg: 88.5830, decode.kl_loss: 0.0630, loss: 0.1053 +2023-03-06 02:42:14,737 - mmseg - INFO - Iter [50900/160000] lr: 3.750e-05, eta: 7:29:07, time: 0.199, data_time: 0.007, memory: 52540, decode.loss_ce: 0.0419, decode.acc_seg: 88.6541, decode.kl_loss: 0.0637, loss: 0.1056 +2023-03-06 02:42:24,678 - mmseg - INFO - Iter [50950/160000] lr: 3.750e-05, eta: 7:28:49, time: 0.199, data_time: 0.007, memory: 52540, decode.loss_ce: 0.0392, decode.acc_seg: 89.1876, decode.kl_loss: 0.0596, loss: 0.0988 +2023-03-06 02:42:34,608 - mmseg - INFO - Exp name: ablation_segformer_mit_b2_segformer_head_unet_fc_small_multi_step_ade_pretrained_freeze_embed_160k_ade20k151_finetune_ema_ce.py +2023-03-06 02:42:34,608 - mmseg - INFO - Iter [51000/160000] lr: 3.750e-05, eta: 7:28:32, time: 0.199, data_time: 0.007, memory: 52540, decode.loss_ce: 0.0391, decode.acc_seg: 89.1053, decode.kl_loss: 0.0585, loss: 0.0977 +2023-03-06 02:42:44,584 - mmseg - INFO - Iter [51050/160000] lr: 3.750e-05, eta: 7:28:14, time: 0.200, data_time: 0.007, memory: 52540, decode.loss_ce: 0.0456, decode.acc_seg: 87.9564, decode.kl_loss: 0.0675, loss: 0.1131 +2023-03-06 02:42:54,525 - mmseg - INFO - Iter [51100/160000] lr: 3.750e-05, eta: 7:27:57, time: 0.199, data_time: 0.007, memory: 52540, decode.loss_ce: 0.0419, decode.acc_seg: 88.4603, decode.kl_loss: 0.0716, loss: 0.1134 +2023-03-06 02:43:07,432 - mmseg - INFO - Iter [51150/160000] lr: 3.750e-05, eta: 7:27:46, time: 0.258, data_time: 0.058, memory: 52540, decode.loss_ce: 0.0450, decode.acc_seg: 87.9395, decode.kl_loss: 0.0752, loss: 0.1202 +2023-03-06 02:43:17,532 - mmseg - INFO - Iter [51200/160000] lr: 3.750e-05, eta: 7:27:29, time: 0.202, data_time: 0.007, memory: 52540, decode.loss_ce: 0.0448, decode.acc_seg: 87.5921, decode.kl_loss: 0.0783, loss: 0.1231 +2023-03-06 02:43:27,996 - mmseg - INFO - Iter [51250/160000] lr: 3.750e-05, eta: 7:27:12, time: 0.209, data_time: 0.007, memory: 52540, decode.loss_ce: 0.0445, decode.acc_seg: 87.8220, decode.kl_loss: 0.0723, loss: 0.1168 +2023-03-06 02:43:38,390 - mmseg - INFO - Iter [51300/160000] lr: 3.750e-05, eta: 7:26:56, time: 0.208, data_time: 0.007, memory: 52540, decode.loss_ce: 0.0392, decode.acc_seg: 89.2803, decode.kl_loss: 0.0671, loss: 0.1063 +2023-03-06 02:43:48,391 - mmseg - INFO - Iter [51350/160000] lr: 3.750e-05, eta: 7:26:38, time: 0.200, data_time: 0.007, memory: 52540, decode.loss_ce: 0.0437, decode.acc_seg: 88.1744, decode.kl_loss: 0.0713, loss: 0.1150 +2023-03-06 02:43:58,379 - mmseg - INFO - Iter [51400/160000] lr: 3.750e-05, eta: 7:26:21, time: 0.200, data_time: 0.007, memory: 52540, decode.loss_ce: 0.0388, decode.acc_seg: 89.4220, decode.kl_loss: 0.0628, loss: 0.1016 +2023-03-06 02:44:08,444 - mmseg - INFO - Iter [51450/160000] lr: 3.750e-05, eta: 7:26:04, time: 0.201, data_time: 0.007, memory: 52540, decode.loss_ce: 0.0394, decode.acc_seg: 89.2363, decode.kl_loss: 0.0621, loss: 0.1015 +2023-03-06 02:44:18,446 - mmseg - INFO - Iter [51500/160000] lr: 3.750e-05, eta: 7:25:47, time: 0.200, data_time: 0.007, memory: 52540, decode.loss_ce: 0.0401, decode.acc_seg: 89.1558, decode.kl_loss: 0.0720, loss: 0.1120 +2023-03-06 02:44:28,485 - mmseg - INFO - Iter [51550/160000] lr: 3.750e-05, eta: 7:25:30, time: 0.201, data_time: 0.007, memory: 52540, decode.loss_ce: 0.0392, decode.acc_seg: 89.3276, decode.kl_loss: 0.0659, loss: 0.1051 +2023-03-06 02:44:38,653 - mmseg - INFO - Iter [51600/160000] lr: 3.750e-05, eta: 7:25:13, time: 0.203, data_time: 0.007, memory: 52540, decode.loss_ce: 0.0395, decode.acc_seg: 89.1630, decode.kl_loss: 0.0635, loss: 0.1030 +2023-03-06 02:44:48,930 - mmseg - INFO - Iter [51650/160000] lr: 3.750e-05, eta: 7:24:56, time: 0.205, data_time: 0.007, memory: 52540, decode.loss_ce: 0.0369, decode.acc_seg: 89.5507, decode.kl_loss: 0.0629, loss: 0.0998 +2023-03-06 02:44:59,304 - mmseg - INFO - Iter [51700/160000] lr: 3.750e-05, eta: 7:24:40, time: 0.208, data_time: 0.007, memory: 52540, decode.loss_ce: 0.0382, decode.acc_seg: 89.3463, decode.kl_loss: 0.0675, loss: 0.1058 +2023-03-06 02:45:11,843 - mmseg - INFO - Iter [51750/160000] lr: 3.750e-05, eta: 7:24:28, time: 0.251, data_time: 0.055, memory: 52540, decode.loss_ce: 0.0412, decode.acc_seg: 88.7605, decode.kl_loss: 0.0661, loss: 0.1073 +2023-03-06 02:45:22,008 - mmseg - INFO - Iter [51800/160000] lr: 3.750e-05, eta: 7:24:11, time: 0.203, data_time: 0.007, memory: 52540, decode.loss_ce: 0.0406, decode.acc_seg: 88.6181, decode.kl_loss: 0.0656, loss: 0.1061 +2023-03-06 02:45:31,917 - mmseg - INFO - Iter [51850/160000] lr: 3.750e-05, eta: 7:23:54, time: 0.198, data_time: 0.007, memory: 52540, decode.loss_ce: 0.0381, decode.acc_seg: 89.4649, decode.kl_loss: 0.0603, loss: 0.0984 +2023-03-06 02:45:41,956 - mmseg - INFO - Iter [51900/160000] lr: 3.750e-05, eta: 7:23:37, time: 0.201, data_time: 0.007, memory: 52540, decode.loss_ce: 0.0400, decode.acc_seg: 89.0149, decode.kl_loss: 0.0649, loss: 0.1049 +2023-03-06 02:45:52,111 - mmseg - INFO - Iter [51950/160000] lr: 3.750e-05, eta: 7:23:20, time: 0.203, data_time: 0.007, memory: 52540, decode.loss_ce: 0.0426, decode.acc_seg: 88.3373, decode.kl_loss: 0.0713, loss: 0.1139 +2023-03-06 02:46:02,396 - mmseg - INFO - Exp name: ablation_segformer_mit_b2_segformer_head_unet_fc_small_multi_step_ade_pretrained_freeze_embed_160k_ade20k151_finetune_ema_ce.py +2023-03-06 02:46:02,396 - mmseg - INFO - Iter [52000/160000] lr: 3.750e-05, eta: 7:23:03, time: 0.206, data_time: 0.007, memory: 52540, decode.loss_ce: 0.0453, decode.acc_seg: 87.5706, decode.kl_loss: 0.0712, loss: 0.1165 +2023-03-06 02:46:12,532 - mmseg - INFO - Iter [52050/160000] lr: 3.750e-05, eta: 7:22:47, time: 0.203, data_time: 0.007, memory: 52540, decode.loss_ce: 0.0429, decode.acc_seg: 88.1981, decode.kl_loss: 0.0653, loss: 0.1082 +2023-03-06 02:46:22,504 - mmseg - INFO - Iter [52100/160000] lr: 3.750e-05, eta: 7:22:30, time: 0.199, data_time: 0.007, memory: 52540, decode.loss_ce: 0.0417, decode.acc_seg: 88.4898, decode.kl_loss: 0.0652, loss: 0.1068 +2023-03-06 02:46:32,505 - mmseg - INFO - Iter [52150/160000] lr: 3.750e-05, eta: 7:22:12, time: 0.200, data_time: 0.007, memory: 52540, decode.loss_ce: 0.0487, decode.acc_seg: 86.7031, decode.kl_loss: 0.0751, loss: 0.1239 +2023-03-06 02:46:42,444 - mmseg - INFO - Iter [52200/160000] lr: 3.750e-05, eta: 7:21:55, time: 0.199, data_time: 0.007, memory: 52540, decode.loss_ce: 0.0608, decode.acc_seg: 83.0351, decode.kl_loss: 0.0898, loss: 0.1506 +2023-03-06 02:46:52,638 - mmseg - INFO - Iter [52250/160000] lr: 3.750e-05, eta: 7:21:39, time: 0.204, data_time: 0.007, memory: 52540, decode.loss_ce: 0.0469, decode.acc_seg: 86.8774, decode.kl_loss: 0.0725, loss: 0.1194 +2023-03-06 02:47:02,843 - mmseg - INFO - Iter [52300/160000] lr: 3.750e-05, eta: 7:21:22, time: 0.204, data_time: 0.007, memory: 52540, decode.loss_ce: 0.0466, decode.acc_seg: 86.9626, decode.kl_loss: 0.0691, loss: 0.1157 +2023-03-06 02:47:12,922 - mmseg - INFO - Iter [52350/160000] lr: 3.750e-05, eta: 7:21:05, time: 0.202, data_time: 0.007, memory: 52540, decode.loss_ce: 0.0398, decode.acc_seg: 88.9978, decode.kl_loss: 0.0640, loss: 0.1038 +2023-03-06 02:47:25,662 - mmseg - INFO - Iter [52400/160000] lr: 3.750e-05, eta: 7:20:54, time: 0.255, data_time: 0.055, memory: 52540, decode.loss_ce: 0.0428, decode.acc_seg: 88.3076, decode.kl_loss: 0.0664, loss: 0.1092 +2023-03-06 02:47:35,688 - mmseg - INFO - Iter [52450/160000] lr: 3.750e-05, eta: 7:20:37, time: 0.201, data_time: 0.007, memory: 52540, decode.loss_ce: 0.0457, decode.acc_seg: 87.3071, decode.kl_loss: 0.0670, loss: 0.1127 +2023-03-06 02:47:45,793 - mmseg - INFO - Iter [52500/160000] lr: 3.750e-05, eta: 7:20:20, time: 0.202, data_time: 0.007, memory: 52540, decode.loss_ce: 0.0389, decode.acc_seg: 89.2120, decode.kl_loss: 0.0638, loss: 0.1027 +2023-03-06 02:47:56,032 - mmseg - INFO - Iter [52550/160000] lr: 3.750e-05, eta: 7:20:04, time: 0.205, data_time: 0.007, memory: 52540, decode.loss_ce: 0.0388, decode.acc_seg: 89.2343, decode.kl_loss: 0.0607, loss: 0.0995 +2023-03-06 02:48:06,283 - mmseg - INFO - Iter [52600/160000] lr: 3.750e-05, eta: 7:19:47, time: 0.205, data_time: 0.007, memory: 52540, decode.loss_ce: 0.0413, decode.acc_seg: 88.7197, decode.kl_loss: 0.0666, loss: 0.1080 +2023-03-06 02:48:16,445 - mmseg - INFO - Iter [52650/160000] lr: 3.750e-05, eta: 7:19:31, time: 0.203, data_time: 0.007, memory: 52540, decode.loss_ce: 0.0424, decode.acc_seg: 88.3432, decode.kl_loss: 0.0692, loss: 0.1116 +2023-03-06 02:48:26,705 - mmseg - INFO - Iter [52700/160000] lr: 3.750e-05, eta: 7:19:14, time: 0.205, data_time: 0.007, memory: 52540, decode.loss_ce: 0.0400, decode.acc_seg: 88.6951, decode.kl_loss: 0.0705, loss: 0.1105 +2023-03-06 02:48:36,774 - mmseg - INFO - Iter [52750/160000] lr: 3.750e-05, eta: 7:18:57, time: 0.201, data_time: 0.007, memory: 52540, decode.loss_ce: 0.0482, decode.acc_seg: 86.6850, decode.kl_loss: 0.0808, loss: 0.1290 +2023-03-06 02:48:46,835 - mmseg - INFO - Iter [52800/160000] lr: 3.750e-05, eta: 7:18:41, time: 0.201, data_time: 0.007, memory: 52540, decode.loss_ce: 0.0450, decode.acc_seg: 87.5569, decode.kl_loss: 0.0738, loss: 0.1188 +2023-03-06 02:48:56,892 - mmseg - INFO - Iter [52850/160000] lr: 3.750e-05, eta: 7:18:24, time: 0.201, data_time: 0.007, memory: 52540, decode.loss_ce: 0.0439, decode.acc_seg: 87.9606, decode.kl_loss: 0.0712, loss: 0.1151 +2023-03-06 02:49:06,965 - mmseg - INFO - Iter [52900/160000] lr: 3.750e-05, eta: 7:18:07, time: 0.201, data_time: 0.007, memory: 52540, decode.loss_ce: 0.0392, decode.acc_seg: 89.1273, decode.kl_loss: 0.0635, loss: 0.1027 +2023-03-06 02:49:16,885 - mmseg - INFO - Iter [52950/160000] lr: 3.750e-05, eta: 7:17:50, time: 0.199, data_time: 0.008, memory: 52540, decode.loss_ce: 0.0425, decode.acc_seg: 88.2983, decode.kl_loss: 0.0658, loss: 0.1084 +2023-03-06 02:49:27,029 - mmseg - INFO - Exp name: ablation_segformer_mit_b2_segformer_head_unet_fc_small_multi_step_ade_pretrained_freeze_embed_160k_ade20k151_finetune_ema_ce.py +2023-03-06 02:49:27,029 - mmseg - INFO - Iter [53000/160000] lr: 3.750e-05, eta: 7:17:34, time: 0.203, data_time: 0.007, memory: 52540, decode.loss_ce: 0.0413, decode.acc_seg: 88.5928, decode.kl_loss: 0.0669, loss: 0.1082 +2023-03-06 02:49:39,621 - mmseg - INFO - Iter [53050/160000] lr: 3.750e-05, eta: 7:17:22, time: 0.252, data_time: 0.054, memory: 52540, decode.loss_ce: 0.0400, decode.acc_seg: 89.0208, decode.kl_loss: 0.0622, loss: 0.1022 +2023-03-06 02:49:49,744 - mmseg - INFO - Iter [53100/160000] lr: 3.750e-05, eta: 7:17:05, time: 0.202, data_time: 0.007, memory: 52540, decode.loss_ce: 0.0394, decode.acc_seg: 89.0518, decode.kl_loss: 0.0717, loss: 0.1111 +2023-03-06 02:49:59,867 - mmseg - INFO - Iter [53150/160000] lr: 3.750e-05, eta: 7:16:49, time: 0.202, data_time: 0.007, memory: 52540, decode.loss_ce: 0.0621, decode.acc_seg: 83.7553, decode.kl_loss: 0.0873, loss: 0.1494 +2023-03-06 02:50:09,948 - mmseg - INFO - Iter [53200/160000] lr: 3.750e-05, eta: 7:16:32, time: 0.202, data_time: 0.007, memory: 52540, decode.loss_ce: 0.0456, decode.acc_seg: 87.0855, decode.kl_loss: 0.0806, loss: 0.1262 +2023-03-06 02:50:20,060 - mmseg - INFO - Iter [53250/160000] lr: 3.750e-05, eta: 7:16:16, time: 0.202, data_time: 0.007, memory: 52540, decode.loss_ce: 0.0450, decode.acc_seg: 87.7122, decode.kl_loss: 0.0706, loss: 0.1156 +2023-03-06 02:50:30,418 - mmseg - INFO - Iter [53300/160000] lr: 3.750e-05, eta: 7:15:59, time: 0.207, data_time: 0.007, memory: 52540, decode.loss_ce: 0.0404, decode.acc_seg: 88.7981, decode.kl_loss: 0.0672, loss: 0.1076 +2023-03-06 02:50:40,589 - mmseg - INFO - Iter [53350/160000] lr: 3.750e-05, eta: 7:15:43, time: 0.203, data_time: 0.007, memory: 52540, decode.loss_ce: 0.0399, decode.acc_seg: 88.8328, decode.kl_loss: 0.0662, loss: 0.1062 +2023-03-06 02:50:50,573 - mmseg - INFO - Iter [53400/160000] lr: 3.750e-05, eta: 7:15:26, time: 0.200, data_time: 0.007, memory: 52540, decode.loss_ce: 0.0388, decode.acc_seg: 89.1939, decode.kl_loss: 0.0632, loss: 0.1020 +2023-03-06 02:51:00,690 - mmseg - INFO - Iter [53450/160000] lr: 3.750e-05, eta: 7:15:10, time: 0.202, data_time: 0.007, memory: 52540, decode.loss_ce: 0.0393, decode.acc_seg: 88.9565, decode.kl_loss: 0.0650, loss: 0.1043 +2023-03-06 02:51:10,733 - mmseg - INFO - Iter [53500/160000] lr: 3.750e-05, eta: 7:14:53, time: 0.201, data_time: 0.008, memory: 52540, decode.loss_ce: 0.0415, decode.acc_seg: 88.6051, decode.kl_loss: 0.0687, loss: 0.1102 +2023-03-06 02:51:21,478 - mmseg - INFO - Iter [53550/160000] lr: 3.750e-05, eta: 7:14:38, time: 0.215, data_time: 0.007, memory: 52540, decode.loss_ce: 0.0426, decode.acc_seg: 88.2350, decode.kl_loss: 0.0684, loss: 0.1110 +2023-03-06 02:51:31,550 - mmseg - INFO - Iter [53600/160000] lr: 3.750e-05, eta: 7:14:21, time: 0.201, data_time: 0.007, memory: 52540, decode.loss_ce: 0.0485, decode.acc_seg: 86.9315, decode.kl_loss: 0.0671, loss: 0.1156 +2023-03-06 02:51:44,337 - mmseg - INFO - Iter [53650/160000] lr: 3.750e-05, eta: 7:14:10, time: 0.256, data_time: 0.055, memory: 52540, decode.loss_ce: 0.0403, decode.acc_seg: 88.9958, decode.kl_loss: 0.0627, loss: 0.1030 +2023-03-06 02:51:54,581 - mmseg - INFO - Iter [53700/160000] lr: 3.750e-05, eta: 7:13:54, time: 0.205, data_time: 0.007, memory: 52540, decode.loss_ce: 0.0422, decode.acc_seg: 88.3652, decode.kl_loss: 0.0707, loss: 0.1128 +2023-03-06 02:52:04,733 - mmseg - INFO - Iter [53750/160000] lr: 3.750e-05, eta: 7:13:37, time: 0.203, data_time: 0.007, memory: 52540, decode.loss_ce: 0.0493, decode.acc_seg: 86.7383, decode.kl_loss: 0.0784, loss: 0.1277 +2023-03-06 02:52:14,861 - mmseg - INFO - Iter [53800/160000] lr: 3.750e-05, eta: 7:13:21, time: 0.203, data_time: 0.007, memory: 52540, decode.loss_ce: 0.0662, decode.acc_seg: 82.2024, decode.kl_loss: 0.0890, loss: 0.1552 +2023-03-06 02:52:25,059 - mmseg - INFO - Iter [53850/160000] lr: 3.750e-05, eta: 7:13:05, time: 0.204, data_time: 0.007, memory: 52540, decode.loss_ce: 0.0533, decode.acc_seg: 85.7797, decode.kl_loss: 0.0713, loss: 0.1246 +2023-03-06 02:52:35,082 - mmseg - INFO - Iter [53900/160000] lr: 3.750e-05, eta: 7:12:48, time: 0.200, data_time: 0.007, memory: 52540, decode.loss_ce: 0.0452, decode.acc_seg: 87.7702, decode.kl_loss: 0.0655, loss: 0.1107 +2023-03-06 02:52:45,128 - mmseg - INFO - Iter [53950/160000] lr: 3.750e-05, eta: 7:12:32, time: 0.201, data_time: 0.007, memory: 52540, decode.loss_ce: 0.0403, decode.acc_seg: 88.8670, decode.kl_loss: 0.0587, loss: 0.0990 +2023-03-06 02:52:55,111 - mmseg - INFO - Exp name: ablation_segformer_mit_b2_segformer_head_unet_fc_small_multi_step_ade_pretrained_freeze_embed_160k_ade20k151_finetune_ema_ce.py +2023-03-06 02:52:55,111 - mmseg - INFO - Iter [54000/160000] lr: 3.750e-05, eta: 7:12:15, time: 0.200, data_time: 0.007, memory: 52540, decode.loss_ce: 0.0400, decode.acc_seg: 88.9477, decode.kl_loss: 0.0583, loss: 0.0984 +2023-03-06 02:53:05,222 - mmseg - INFO - Iter [54050/160000] lr: 3.750e-05, eta: 7:11:59, time: 0.202, data_time: 0.007, memory: 52540, decode.loss_ce: 0.0426, decode.acc_seg: 88.5133, decode.kl_loss: 0.0620, loss: 0.1046 +2023-03-06 02:53:15,322 - mmseg - INFO - Iter [54100/160000] lr: 3.750e-05, eta: 7:11:42, time: 0.202, data_time: 0.007, memory: 52540, decode.loss_ce: 0.0432, decode.acc_seg: 87.9106, decode.kl_loss: 0.0677, loss: 0.1109 +2023-03-06 02:53:25,479 - mmseg - INFO - Iter [54150/160000] lr: 3.750e-05, eta: 7:11:26, time: 0.203, data_time: 0.007, memory: 52540, decode.loss_ce: 0.0444, decode.acc_seg: 87.6797, decode.kl_loss: 0.0673, loss: 0.1117 +2023-03-06 02:53:35,518 - mmseg - INFO - Iter [54200/160000] lr: 3.750e-05, eta: 7:11:09, time: 0.201, data_time: 0.007, memory: 52540, decode.loss_ce: 0.0426, decode.acc_seg: 88.1965, decode.kl_loss: 0.0638, loss: 0.1064 +2023-03-06 02:53:45,633 - mmseg - INFO - Iter [54250/160000] lr: 3.750e-05, eta: 7:10:53, time: 0.202, data_time: 0.007, memory: 52540, decode.loss_ce: 0.0512, decode.acc_seg: 86.3024, decode.kl_loss: 0.0724, loss: 0.1237 +2023-03-06 02:53:58,373 - mmseg - INFO - Iter [54300/160000] lr: 3.750e-05, eta: 7:10:42, time: 0.255, data_time: 0.054, memory: 52540, decode.loss_ce: 0.0481, decode.acc_seg: 86.8076, decode.kl_loss: 0.0702, loss: 0.1183 +2023-03-06 02:54:08,522 - mmseg - INFO - Iter [54350/160000] lr: 3.750e-05, eta: 7:10:26, time: 0.203, data_time: 0.008, memory: 52540, decode.loss_ce: 0.0460, decode.acc_seg: 87.3083, decode.kl_loss: 0.0667, loss: 0.1127 +2023-03-06 02:54:18,701 - mmseg - INFO - Iter [54400/160000] lr: 3.750e-05, eta: 7:10:09, time: 0.204, data_time: 0.007, memory: 52540, decode.loss_ce: 0.0408, decode.acc_seg: 88.8015, decode.kl_loss: 0.0608, loss: 0.1016 +2023-03-06 02:54:28,791 - mmseg - INFO - Iter [54450/160000] lr: 3.750e-05, eta: 7:09:53, time: 0.202, data_time: 0.007, memory: 52540, decode.loss_ce: 0.0455, decode.acc_seg: 87.5719, decode.kl_loss: 0.0646, loss: 0.1101 +2023-03-06 02:54:38,713 - mmseg - INFO - Iter [54500/160000] lr: 3.750e-05, eta: 7:09:36, time: 0.198, data_time: 0.007, memory: 52540, decode.loss_ce: 0.0413, decode.acc_seg: 88.3051, decode.kl_loss: 0.0640, loss: 0.1053 +2023-03-06 02:54:48,896 - mmseg - INFO - Iter [54550/160000] lr: 3.750e-05, eta: 7:09:20, time: 0.204, data_time: 0.007, memory: 52540, decode.loss_ce: 0.0397, decode.acc_seg: 88.9179, decode.kl_loss: 0.0597, loss: 0.0995 +2023-03-06 02:54:59,033 - mmseg - INFO - Iter [54600/160000] lr: 3.750e-05, eta: 7:09:04, time: 0.203, data_time: 0.007, memory: 52540, decode.loss_ce: 0.0375, decode.acc_seg: 89.6934, decode.kl_loss: 0.0571, loss: 0.0946 +2023-03-06 02:55:09,056 - mmseg - INFO - Iter [54650/160000] lr: 3.750e-05, eta: 7:08:48, time: 0.200, data_time: 0.007, memory: 52540, decode.loss_ce: 0.0375, decode.acc_seg: 89.4553, decode.kl_loss: 0.0631, loss: 0.1005 +2023-03-06 02:55:19,211 - mmseg - INFO - Iter [54700/160000] lr: 3.750e-05, eta: 7:08:31, time: 0.203, data_time: 0.007, memory: 52540, decode.loss_ce: 0.0384, decode.acc_seg: 89.2809, decode.kl_loss: 0.0572, loss: 0.0957 +2023-03-06 02:55:29,441 - mmseg - INFO - Iter [54750/160000] lr: 3.750e-05, eta: 7:08:15, time: 0.205, data_time: 0.007, memory: 52540, decode.loss_ce: 0.0444, decode.acc_seg: 87.8205, decode.kl_loss: 0.0707, loss: 0.1151 +2023-03-06 02:55:39,586 - mmseg - INFO - Iter [54800/160000] lr: 3.750e-05, eta: 7:07:59, time: 0.203, data_time: 0.008, memory: 52540, decode.loss_ce: 0.0587, decode.acc_seg: 84.1170, decode.kl_loss: 0.0790, loss: 0.1377 +2023-03-06 02:55:49,719 - mmseg - INFO - Iter [54850/160000] lr: 3.750e-05, eta: 7:07:43, time: 0.203, data_time: 0.007, memory: 52540, decode.loss_ce: 0.0407, decode.acc_seg: 88.5311, decode.kl_loss: 0.0625, loss: 0.1032 +2023-03-06 02:56:02,106 - mmseg - INFO - Iter [54900/160000] lr: 3.750e-05, eta: 7:07:31, time: 0.248, data_time: 0.054, memory: 52540, decode.loss_ce: 0.0364, decode.acc_seg: 89.8774, decode.kl_loss: 0.0543, loss: 0.0908 +2023-03-06 02:56:12,315 - mmseg - INFO - Iter [54950/160000] lr: 3.750e-05, eta: 7:07:15, time: 0.204, data_time: 0.007, memory: 52540, decode.loss_ce: 0.0377, decode.acc_seg: 89.7749, decode.kl_loss: 0.0544, loss: 0.0921 +2023-03-06 02:56:22,371 - mmseg - INFO - Exp name: ablation_segformer_mit_b2_segformer_head_unet_fc_small_multi_step_ade_pretrained_freeze_embed_160k_ade20k151_finetune_ema_ce.py +2023-03-06 02:56:22,371 - mmseg - INFO - Iter [55000/160000] lr: 3.750e-05, eta: 7:06:59, time: 0.201, data_time: 0.007, memory: 52540, decode.loss_ce: 0.0371, decode.acc_seg: 89.7905, decode.kl_loss: 0.0583, loss: 0.0954 +2023-03-06 02:56:32,657 - mmseg - INFO - Iter [55050/160000] lr: 3.750e-05, eta: 7:06:43, time: 0.206, data_time: 0.007, memory: 52540, decode.loss_ce: 0.0374, decode.acc_seg: 89.7574, decode.kl_loss: 0.0546, loss: 0.0920 +2023-03-06 02:56:42,579 - mmseg - INFO - Iter [55100/160000] lr: 3.750e-05, eta: 7:06:26, time: 0.198, data_time: 0.007, memory: 52540, decode.loss_ce: 0.0380, decode.acc_seg: 89.6260, decode.kl_loss: 0.0564, loss: 0.0944 +2023-03-06 02:56:52,622 - mmseg - INFO - Iter [55150/160000] lr: 3.750e-05, eta: 7:06:10, time: 0.201, data_time: 0.007, memory: 52540, decode.loss_ce: 0.0384, decode.acc_seg: 89.4525, decode.kl_loss: 0.0562, loss: 0.0947 +2023-03-06 02:57:02,612 - mmseg - INFO - Iter [55200/160000] lr: 3.750e-05, eta: 7:05:54, time: 0.200, data_time: 0.007, memory: 52540, decode.loss_ce: 0.0377, decode.acc_seg: 89.7551, decode.kl_loss: 0.0562, loss: 0.0940 +2023-03-06 02:57:12,667 - mmseg - INFO - Iter [55250/160000] lr: 3.750e-05, eta: 7:05:38, time: 0.201, data_time: 0.007, memory: 52540, decode.loss_ce: 0.0371, decode.acc_seg: 89.8250, decode.kl_loss: 0.0608, loss: 0.0979 +2023-03-06 02:57:23,052 - mmseg - INFO - Iter [55300/160000] lr: 3.750e-05, eta: 7:05:22, time: 0.208, data_time: 0.007, memory: 52540, decode.loss_ce: 0.0384, decode.acc_seg: 89.4610, decode.kl_loss: 0.0639, loss: 0.1023 +2023-03-06 02:57:33,168 - mmseg - INFO - Iter [55350/160000] lr: 3.750e-05, eta: 7:05:06, time: 0.202, data_time: 0.007, memory: 52540, decode.loss_ce: 0.0372, decode.acc_seg: 89.6795, decode.kl_loss: 0.0605, loss: 0.0977 +2023-03-06 02:57:43,232 - mmseg - INFO - Iter [55400/160000] lr: 3.750e-05, eta: 7:04:50, time: 0.201, data_time: 0.007, memory: 52540, decode.loss_ce: 0.0382, decode.acc_seg: 89.3247, decode.kl_loss: 0.0641, loss: 0.1023 +2023-03-06 02:57:53,256 - mmseg - INFO - Iter [55450/160000] lr: 3.750e-05, eta: 7:04:33, time: 0.200, data_time: 0.007, memory: 52540, decode.loss_ce: 0.0381, decode.acc_seg: 89.5370, decode.kl_loss: 0.0594, loss: 0.0975 +2023-03-06 02:58:03,389 - mmseg - INFO - Iter [55500/160000] lr: 3.750e-05, eta: 7:04:17, time: 0.202, data_time: 0.007, memory: 52540, decode.loss_ce: 0.0380, decode.acc_seg: 89.5544, decode.kl_loss: 0.0580, loss: 0.0960 +2023-03-06 02:58:16,005 - mmseg - INFO - Iter [55550/160000] lr: 3.750e-05, eta: 7:04:06, time: 0.252, data_time: 0.057, memory: 52540, decode.loss_ce: 0.0370, decode.acc_seg: 89.7470, decode.kl_loss: 0.0603, loss: 0.0973 +2023-03-06 02:58:26,195 - mmseg - INFO - Iter [55600/160000] lr: 3.750e-05, eta: 7:03:50, time: 0.204, data_time: 0.007, memory: 52540, decode.loss_ce: 0.0377, decode.acc_seg: 89.4062, decode.kl_loss: 0.0616, loss: 0.0994 +2023-03-06 02:58:36,346 - mmseg - INFO - Iter [55650/160000] lr: 3.750e-05, eta: 7:03:34, time: 0.203, data_time: 0.007, memory: 52540, decode.loss_ce: 0.0386, decode.acc_seg: 89.3091, decode.kl_loss: 0.0623, loss: 0.1009 +2023-03-06 02:58:46,849 - mmseg - INFO - Iter [55700/160000] lr: 3.750e-05, eta: 7:03:19, time: 0.210, data_time: 0.007, memory: 52540, decode.loss_ce: 0.0565, decode.acc_seg: 84.8072, decode.kl_loss: 0.0833, loss: 0.1398 +2023-03-06 02:58:56,830 - mmseg - INFO - Iter [55750/160000] lr: 3.750e-05, eta: 7:03:02, time: 0.200, data_time: 0.007, memory: 52540, decode.loss_ce: 0.0482, decode.acc_seg: 86.6607, decode.kl_loss: 0.0740, loss: 0.1222 +2023-03-06 02:59:06,811 - mmseg - INFO - Iter [55800/160000] lr: 3.750e-05, eta: 7:02:46, time: 0.200, data_time: 0.007, memory: 52540, decode.loss_ce: 0.0374, decode.acc_seg: 89.5024, decode.kl_loss: 0.0590, loss: 0.0964 +2023-03-06 02:59:16,763 - mmseg - INFO - Iter [55850/160000] lr: 3.750e-05, eta: 7:02:30, time: 0.199, data_time: 0.007, memory: 52540, decode.loss_ce: 0.0377, decode.acc_seg: 89.6193, decode.kl_loss: 0.0589, loss: 0.0966 +2023-03-06 02:59:26,762 - mmseg - INFO - Iter [55900/160000] lr: 3.750e-05, eta: 7:02:14, time: 0.200, data_time: 0.007, memory: 52540, decode.loss_ce: 0.0380, decode.acc_seg: 89.6503, decode.kl_loss: 0.0562, loss: 0.0942 +2023-03-06 02:59:36,830 - mmseg - INFO - Iter [55950/160000] lr: 3.750e-05, eta: 7:01:58, time: 0.201, data_time: 0.007, memory: 52540, decode.loss_ce: 0.0375, decode.acc_seg: 89.5061, decode.kl_loss: 0.0559, loss: 0.0934 +2023-03-06 02:59:47,044 - mmseg - INFO - Exp name: ablation_segformer_mit_b2_segformer_head_unet_fc_small_multi_step_ade_pretrained_freeze_embed_160k_ade20k151_finetune_ema_ce.py +2023-03-06 02:59:47,045 - mmseg - INFO - Iter [56000/160000] lr: 3.750e-05, eta: 7:01:42, time: 0.204, data_time: 0.007, memory: 52540, decode.loss_ce: 0.0363, decode.acc_seg: 89.8406, decode.kl_loss: 0.0551, loss: 0.0915 +2023-03-06 02:59:57,044 - mmseg - INFO - Iter [56050/160000] lr: 3.750e-05, eta: 7:01:26, time: 0.200, data_time: 0.007, memory: 52540, decode.loss_ce: 0.0366, decode.acc_seg: 89.8737, decode.kl_loss: 0.0566, loss: 0.0933 +2023-03-06 03:00:07,033 - mmseg - INFO - Iter [56100/160000] lr: 3.750e-05, eta: 7:01:09, time: 0.200, data_time: 0.007, memory: 52540, decode.loss_ce: 0.0380, decode.acc_seg: 89.5217, decode.kl_loss: 0.0548, loss: 0.0929 +2023-03-06 03:00:17,464 - mmseg - INFO - Iter [56150/160000] lr: 3.750e-05, eta: 7:00:54, time: 0.209, data_time: 0.007, memory: 52540, decode.loss_ce: 0.0379, decode.acc_seg: 89.6596, decode.kl_loss: 0.0544, loss: 0.0923 +2023-03-06 03:00:29,874 - mmseg - INFO - Iter [56200/160000] lr: 3.750e-05, eta: 7:00:42, time: 0.248, data_time: 0.055, memory: 52540, decode.loss_ce: 0.0379, decode.acc_seg: 89.5212, decode.kl_loss: 0.0599, loss: 0.0979 +2023-03-06 03:00:39,909 - mmseg - INFO - Iter [56250/160000] lr: 3.750e-05, eta: 7:00:26, time: 0.201, data_time: 0.007, memory: 52540, decode.loss_ce: 0.0387, decode.acc_seg: 89.3212, decode.kl_loss: 0.0596, loss: 0.0983 +2023-03-06 03:00:49,929 - mmseg - INFO - Iter [56300/160000] lr: 3.750e-05, eta: 7:00:10, time: 0.200, data_time: 0.007, memory: 52540, decode.loss_ce: 0.0366, decode.acc_seg: 89.8459, decode.kl_loss: 0.0564, loss: 0.0930 +2023-03-06 03:01:00,090 - mmseg - INFO - Iter [56350/160000] lr: 3.750e-05, eta: 6:59:54, time: 0.203, data_time: 0.007, memory: 52540, decode.loss_ce: 0.0376, decode.acc_seg: 89.4764, decode.kl_loss: 0.0575, loss: 0.0951 +2023-03-06 03:01:10,300 - mmseg - INFO - Iter [56400/160000] lr: 3.750e-05, eta: 6:59:39, time: 0.204, data_time: 0.007, memory: 52540, decode.loss_ce: 0.0401, decode.acc_seg: 88.9762, decode.kl_loss: 0.0607, loss: 0.1008 +2023-03-06 03:01:20,423 - mmseg - INFO - Iter [56450/160000] lr: 3.750e-05, eta: 6:59:23, time: 0.202, data_time: 0.007, memory: 52540, decode.loss_ce: 0.0424, decode.acc_seg: 88.2135, decode.kl_loss: 0.0641, loss: 0.1065 +2023-03-06 03:01:30,664 - mmseg - INFO - Iter [56500/160000] lr: 3.750e-05, eta: 6:59:07, time: 0.205, data_time: 0.007, memory: 52540, decode.loss_ce: 0.0419, decode.acc_seg: 88.4492, decode.kl_loss: 0.0636, loss: 0.1054 +2023-03-06 03:01:40,810 - mmseg - INFO - Iter [56550/160000] lr: 3.750e-05, eta: 6:58:51, time: 0.203, data_time: 0.007, memory: 52540, decode.loss_ce: 0.0413, decode.acc_seg: 88.5216, decode.kl_loss: 0.0625, loss: 0.1038 +2023-03-06 03:01:50,982 - mmseg - INFO - Iter [56600/160000] lr: 3.750e-05, eta: 6:58:36, time: 0.203, data_time: 0.007, memory: 52540, decode.loss_ce: 0.0387, decode.acc_seg: 89.2304, decode.kl_loss: 0.0599, loss: 0.0986 +2023-03-06 03:02:01,266 - mmseg - INFO - Iter [56650/160000] lr: 3.750e-05, eta: 6:58:20, time: 0.206, data_time: 0.007, memory: 52540, decode.loss_ce: 0.0397, decode.acc_seg: 89.0440, decode.kl_loss: 0.0638, loss: 0.1035 +2023-03-06 03:02:11,329 - mmseg - INFO - Iter [56700/160000] lr: 3.750e-05, eta: 6:58:04, time: 0.201, data_time: 0.007, memory: 52540, decode.loss_ce: 0.0424, decode.acc_seg: 88.1916, decode.kl_loss: 0.0681, loss: 0.1104 +2023-03-06 03:02:21,771 - mmseg - INFO - Iter [56750/160000] lr: 3.750e-05, eta: 6:57:49, time: 0.209, data_time: 0.008, memory: 52540, decode.loss_ce: 0.0416, decode.acc_seg: 88.5187, decode.kl_loss: 0.0659, loss: 0.1075 +2023-03-06 03:02:34,295 - mmseg - INFO - Iter [56800/160000] lr: 3.750e-05, eta: 6:57:37, time: 0.250, data_time: 0.053, memory: 52540, decode.loss_ce: 0.0436, decode.acc_seg: 88.0448, decode.kl_loss: 0.0721, loss: 0.1157 +2023-03-06 03:02:44,340 - mmseg - INFO - Iter [56850/160000] lr: 3.750e-05, eta: 6:57:21, time: 0.201, data_time: 0.007, memory: 52540, decode.loss_ce: 0.0411, decode.acc_seg: 88.6766, decode.kl_loss: 0.0635, loss: 0.1046 +2023-03-06 03:02:54,606 - mmseg - INFO - Iter [56900/160000] lr: 3.750e-05, eta: 6:57:06, time: 0.205, data_time: 0.007, memory: 52540, decode.loss_ce: 0.0380, decode.acc_seg: 89.5259, decode.kl_loss: 0.0608, loss: 0.0989 +2023-03-06 03:03:04,501 - mmseg - INFO - Iter [56950/160000] lr: 3.750e-05, eta: 6:56:50, time: 0.198, data_time: 0.007, memory: 52540, decode.loss_ce: 0.0439, decode.acc_seg: 88.1667, decode.kl_loss: 0.0687, loss: 0.1127 +2023-03-06 03:03:14,495 - mmseg - INFO - Exp name: ablation_segformer_mit_b2_segformer_head_unet_fc_small_multi_step_ade_pretrained_freeze_embed_160k_ade20k151_finetune_ema_ce.py +2023-03-06 03:03:14,495 - mmseg - INFO - Iter [57000/160000] lr: 3.750e-05, eta: 6:56:34, time: 0.200, data_time: 0.007, memory: 52540, decode.loss_ce: 0.0444, decode.acc_seg: 87.9529, decode.kl_loss: 0.0640, loss: 0.1084 +2023-03-06 03:03:24,495 - mmseg - INFO - Iter [57050/160000] lr: 3.750e-05, eta: 6:56:18, time: 0.200, data_time: 0.007, memory: 52540, decode.loss_ce: 0.0392, decode.acc_seg: 89.1023, decode.kl_loss: 0.0618, loss: 0.1010 +2023-03-06 03:03:34,677 - mmseg - INFO - Iter [57100/160000] lr: 3.750e-05, eta: 6:56:02, time: 0.204, data_time: 0.007, memory: 52540, decode.loss_ce: 0.0401, decode.acc_seg: 88.7498, decode.kl_loss: 0.0631, loss: 0.1032 +2023-03-06 03:03:44,704 - mmseg - INFO - Iter [57150/160000] lr: 3.750e-05, eta: 6:55:46, time: 0.201, data_time: 0.007, memory: 52540, decode.loss_ce: 0.0395, decode.acc_seg: 88.9688, decode.kl_loss: 0.0649, loss: 0.1044 +2023-03-06 03:03:54,924 - mmseg - INFO - Iter [57200/160000] lr: 3.750e-05, eta: 6:55:31, time: 0.204, data_time: 0.007, memory: 52540, decode.loss_ce: 0.0375, decode.acc_seg: 89.3669, decode.kl_loss: 0.0619, loss: 0.0994 +2023-03-06 03:04:05,336 - mmseg - INFO - Iter [57250/160000] lr: 3.750e-05, eta: 6:55:15, time: 0.208, data_time: 0.008, memory: 52540, decode.loss_ce: 0.0416, decode.acc_seg: 88.4493, decode.kl_loss: 0.0631, loss: 0.1047 +2023-03-06 03:04:15,402 - mmseg - INFO - Iter [57300/160000] lr: 3.750e-05, eta: 6:55:00, time: 0.201, data_time: 0.007, memory: 52540, decode.loss_ce: 0.0397, decode.acc_seg: 88.9910, decode.kl_loss: 0.0609, loss: 0.1006 +2023-03-06 03:04:25,416 - mmseg - INFO - Iter [57350/160000] lr: 3.750e-05, eta: 6:54:44, time: 0.201, data_time: 0.008, memory: 52540, decode.loss_ce: 0.0407, decode.acc_seg: 88.7961, decode.kl_loss: 0.0625, loss: 0.1032 +2023-03-06 03:04:35,623 - mmseg - INFO - Iter [57400/160000] lr: 3.750e-05, eta: 6:54:28, time: 0.204, data_time: 0.007, memory: 52540, decode.loss_ce: 0.0378, decode.acc_seg: 89.2489, decode.kl_loss: 0.0601, loss: 0.0979 +2023-03-06 03:04:48,295 - mmseg - INFO - Iter [57450/160000] lr: 3.750e-05, eta: 6:54:17, time: 0.253, data_time: 0.054, memory: 52540, decode.loss_ce: 0.0376, decode.acc_seg: 89.4663, decode.kl_loss: 0.0582, loss: 0.0959 +2023-03-06 03:04:58,360 - mmseg - INFO - Iter [57500/160000] lr: 3.750e-05, eta: 6:54:01, time: 0.201, data_time: 0.007, memory: 52540, decode.loss_ce: 0.0384, decode.acc_seg: 89.4352, decode.kl_loss: 0.0584, loss: 0.0968 +2023-03-06 03:05:08,255 - mmseg - INFO - Iter [57550/160000] lr: 3.750e-05, eta: 6:53:45, time: 0.198, data_time: 0.007, memory: 52540, decode.loss_ce: 0.0377, decode.acc_seg: 89.4628, decode.kl_loss: 0.0585, loss: 0.0962 +2023-03-06 03:05:18,248 - mmseg - INFO - Iter [57600/160000] lr: 3.750e-05, eta: 6:53:29, time: 0.200, data_time: 0.007, memory: 52540, decode.loss_ce: 0.0365, decode.acc_seg: 89.7288, decode.kl_loss: 0.0593, loss: 0.0957 +2023-03-06 03:05:28,171 - mmseg - INFO - Iter [57650/160000] lr: 3.750e-05, eta: 6:53:13, time: 0.199, data_time: 0.007, memory: 52540, decode.loss_ce: 0.0398, decode.acc_seg: 88.9155, decode.kl_loss: 0.0610, loss: 0.1007 +2023-03-06 03:05:38,085 - mmseg - INFO - Iter [57700/160000] lr: 3.750e-05, eta: 6:52:57, time: 0.198, data_time: 0.007, memory: 52540, decode.loss_ce: 0.0384, decode.acc_seg: 89.2836, decode.kl_loss: 0.0622, loss: 0.1005 +2023-03-06 03:05:48,393 - mmseg - INFO - Iter [57750/160000] lr: 3.750e-05, eta: 6:52:42, time: 0.206, data_time: 0.007, memory: 52540, decode.loss_ce: 0.0393, decode.acc_seg: 89.2542, decode.kl_loss: 0.0617, loss: 0.1010 +2023-03-06 03:05:58,283 - mmseg - INFO - Iter [57800/160000] lr: 3.750e-05, eta: 6:52:26, time: 0.198, data_time: 0.007, memory: 52540, decode.loss_ce: 0.0387, decode.acc_seg: 89.1080, decode.kl_loss: 0.0613, loss: 0.1000 +2023-03-06 03:06:08,463 - mmseg - INFO - Iter [57850/160000] lr: 3.750e-05, eta: 6:52:10, time: 0.204, data_time: 0.007, memory: 52540, decode.loss_ce: 0.0386, decode.acc_seg: 89.2720, decode.kl_loss: 0.0617, loss: 0.1003 +2023-03-06 03:06:18,654 - mmseg - INFO - Iter [57900/160000] lr: 3.750e-05, eta: 6:51:55, time: 0.204, data_time: 0.007, memory: 52540, decode.loss_ce: 0.0376, decode.acc_seg: 89.4661, decode.kl_loss: 0.0633, loss: 0.1009 +2023-03-06 03:06:28,638 - mmseg - INFO - Iter [57950/160000] lr: 3.750e-05, eta: 6:51:39, time: 0.200, data_time: 0.007, memory: 52540, decode.loss_ce: 0.0492, decode.acc_seg: 87.0437, decode.kl_loss: 0.0775, loss: 0.1267 +2023-03-06 03:06:38,665 - mmseg - INFO - Exp name: ablation_segformer_mit_b2_segformer_head_unet_fc_small_multi_step_ade_pretrained_freeze_embed_160k_ade20k151_finetune_ema_ce.py +2023-03-06 03:06:38,666 - mmseg - INFO - Iter [58000/160000] lr: 3.750e-05, eta: 6:51:23, time: 0.201, data_time: 0.007, memory: 52540, decode.loss_ce: 0.0482, decode.acc_seg: 87.1694, decode.kl_loss: 0.0700, loss: 0.1182 +2023-03-06 03:06:48,628 - mmseg - INFO - Iter [58050/160000] lr: 3.750e-05, eta: 6:51:08, time: 0.199, data_time: 0.007, memory: 52540, decode.loss_ce: 0.0476, decode.acc_seg: 87.3141, decode.kl_loss: 0.0668, loss: 0.1144 +2023-03-06 03:07:01,420 - mmseg - INFO - Iter [58100/160000] lr: 3.750e-05, eta: 6:50:57, time: 0.256, data_time: 0.055, memory: 52540, decode.loss_ce: 0.0396, decode.acc_seg: 88.9502, decode.kl_loss: 0.0569, loss: 0.0965 +2023-03-06 03:07:11,555 - mmseg - INFO - Iter [58150/160000] lr: 3.750e-05, eta: 6:50:41, time: 0.203, data_time: 0.007, memory: 52540, decode.loss_ce: 0.0367, decode.acc_seg: 89.6729, decode.kl_loss: 0.0549, loss: 0.0916 +2023-03-06 03:07:21,745 - mmseg - INFO - Iter [58200/160000] lr: 3.750e-05, eta: 6:50:26, time: 0.204, data_time: 0.007, memory: 52540, decode.loss_ce: 0.0365, decode.acc_seg: 89.6947, decode.kl_loss: 0.0570, loss: 0.0935 +2023-03-06 03:07:31,794 - mmseg - INFO - Iter [58250/160000] lr: 3.750e-05, eta: 6:50:10, time: 0.201, data_time: 0.007, memory: 52540, decode.loss_ce: 0.0388, decode.acc_seg: 89.1613, decode.kl_loss: 0.0607, loss: 0.0996 +2023-03-06 03:07:41,783 - mmseg - INFO - Iter [58300/160000] lr: 3.750e-05, eta: 6:49:54, time: 0.200, data_time: 0.007, memory: 52540, decode.loss_ce: 0.0392, decode.acc_seg: 89.1602, decode.kl_loss: 0.0626, loss: 0.1018 +2023-03-06 03:07:51,769 - mmseg - INFO - Iter [58350/160000] lr: 3.750e-05, eta: 6:49:38, time: 0.200, data_time: 0.007, memory: 52540, decode.loss_ce: 0.0405, decode.acc_seg: 88.6461, decode.kl_loss: 0.0660, loss: 0.1065 +2023-03-06 03:08:02,172 - mmseg - INFO - Iter [58400/160000] lr: 3.750e-05, eta: 6:49:23, time: 0.208, data_time: 0.007, memory: 52540, decode.loss_ce: 0.0409, decode.acc_seg: 88.6280, decode.kl_loss: 0.0646, loss: 0.1056 +2023-03-06 03:08:12,155 - mmseg - INFO - Iter [58450/160000] lr: 3.750e-05, eta: 6:49:08, time: 0.200, data_time: 0.007, memory: 52540, decode.loss_ce: 0.0391, decode.acc_seg: 89.1867, decode.kl_loss: 0.0621, loss: 0.1012 +2023-03-06 03:08:22,389 - mmseg - INFO - Iter [58500/160000] lr: 3.750e-05, eta: 6:48:52, time: 0.205, data_time: 0.007, memory: 52540, decode.loss_ce: 0.0388, decode.acc_seg: 89.3995, decode.kl_loss: 0.0609, loss: 0.0997 +2023-03-06 03:08:32,475 - mmseg - INFO - Iter [58550/160000] lr: 3.750e-05, eta: 6:48:37, time: 0.201, data_time: 0.007, memory: 52540, decode.loss_ce: 0.0400, decode.acc_seg: 88.9938, decode.kl_loss: 0.0617, loss: 0.1017 +2023-03-06 03:08:42,567 - mmseg - INFO - Iter [58600/160000] lr: 3.750e-05, eta: 6:48:21, time: 0.202, data_time: 0.007, memory: 52540, decode.loss_ce: 0.0377, decode.acc_seg: 89.4791, decode.kl_loss: 0.0587, loss: 0.0964 +2023-03-06 03:08:52,756 - mmseg - INFO - Iter [58650/160000] lr: 3.750e-05, eta: 6:48:06, time: 0.204, data_time: 0.007, memory: 52540, decode.loss_ce: 0.0380, decode.acc_seg: 89.4260, decode.kl_loss: 0.0580, loss: 0.0960 +2023-03-06 03:09:05,318 - mmseg - INFO - Iter [58700/160000] lr: 3.750e-05, eta: 6:47:55, time: 0.251, data_time: 0.057, memory: 52540, decode.loss_ce: 0.0368, decode.acc_seg: 89.6223, decode.kl_loss: 0.0589, loss: 0.0957 +2023-03-06 03:09:15,439 - mmseg - INFO - Iter [58750/160000] lr: 3.750e-05, eta: 6:47:39, time: 0.202, data_time: 0.007, memory: 52540, decode.loss_ce: 0.0411, decode.acc_seg: 88.6603, decode.kl_loss: 0.0638, loss: 0.1049 +2023-03-06 03:09:25,551 - mmseg - INFO - Iter [58800/160000] lr: 3.750e-05, eta: 6:47:24, time: 0.202, data_time: 0.007, memory: 52540, decode.loss_ce: 0.0380, decode.acc_seg: 89.4389, decode.kl_loss: 0.0570, loss: 0.0950 +2023-03-06 03:09:35,815 - mmseg - INFO - Iter [58850/160000] lr: 3.750e-05, eta: 6:47:09, time: 0.206, data_time: 0.007, memory: 52540, decode.loss_ce: 0.0374, decode.acc_seg: 89.6050, decode.kl_loss: 0.0558, loss: 0.0932 +2023-03-06 03:09:45,921 - mmseg - INFO - Iter [58900/160000] lr: 3.750e-05, eta: 6:46:53, time: 0.202, data_time: 0.007, memory: 52540, decode.loss_ce: 0.0390, decode.acc_seg: 89.3432, decode.kl_loss: 0.0560, loss: 0.0950 +2023-03-06 03:09:56,013 - mmseg - INFO - Iter [58950/160000] lr: 3.750e-05, eta: 6:46:38, time: 0.202, data_time: 0.007, memory: 52540, decode.loss_ce: 0.0386, decode.acc_seg: 89.2392, decode.kl_loss: 0.0611, loss: 0.0996 +2023-03-06 03:10:05,908 - mmseg - INFO - Exp name: ablation_segformer_mit_b2_segformer_head_unet_fc_small_multi_step_ade_pretrained_freeze_embed_160k_ade20k151_finetune_ema_ce.py +2023-03-06 03:10:05,908 - mmseg - INFO - Iter [59000/160000] lr: 3.750e-05, eta: 6:46:22, time: 0.198, data_time: 0.007, memory: 52540, decode.loss_ce: 0.0385, decode.acc_seg: 89.3338, decode.kl_loss: 0.0605, loss: 0.0990 +2023-03-06 03:10:16,083 - mmseg - INFO - Iter [59050/160000] lr: 3.750e-05, eta: 6:46:07, time: 0.203, data_time: 0.007, memory: 52540, decode.loss_ce: 0.0396, decode.acc_seg: 88.9122, decode.kl_loss: 0.0677, loss: 0.1073 +2023-03-06 03:10:26,105 - mmseg - INFO - Iter [59100/160000] lr: 3.750e-05, eta: 6:45:51, time: 0.200, data_time: 0.007, memory: 52540, decode.loss_ce: 0.0411, decode.acc_seg: 88.6278, decode.kl_loss: 0.0651, loss: 0.1062 +2023-03-06 03:10:36,017 - mmseg - INFO - Iter [59150/160000] lr: 3.750e-05, eta: 6:45:35, time: 0.198, data_time: 0.007, memory: 52540, decode.loss_ce: 0.0400, decode.acc_seg: 89.1569, decode.kl_loss: 0.0613, loss: 0.1013 +2023-03-06 03:10:46,232 - mmseg - INFO - Iter [59200/160000] lr: 3.750e-05, eta: 6:45:20, time: 0.204, data_time: 0.007, memory: 52540, decode.loss_ce: 0.0390, decode.acc_seg: 89.1564, decode.kl_loss: 0.0633, loss: 0.1023 +2023-03-06 03:10:56,191 - mmseg - INFO - Iter [59250/160000] lr: 3.750e-05, eta: 6:45:04, time: 0.199, data_time: 0.007, memory: 52540, decode.loss_ce: 0.0403, decode.acc_seg: 88.8563, decode.kl_loss: 0.0640, loss: 0.1043 +2023-03-06 03:11:06,468 - mmseg - INFO - Iter [59300/160000] lr: 3.750e-05, eta: 6:44:49, time: 0.206, data_time: 0.007, memory: 52540, decode.loss_ce: 0.0383, decode.acc_seg: 89.3453, decode.kl_loss: 0.0674, loss: 0.1056 +2023-03-06 03:11:18,952 - mmseg - INFO - Iter [59350/160000] lr: 3.750e-05, eta: 6:44:38, time: 0.250, data_time: 0.055, memory: 52540, decode.loss_ce: 0.0494, decode.acc_seg: 86.9542, decode.kl_loss: 0.0782, loss: 0.1275 +2023-03-06 03:11:29,249 - mmseg - INFO - Iter [59400/160000] lr: 3.750e-05, eta: 6:44:23, time: 0.205, data_time: 0.007, memory: 52540, decode.loss_ce: 0.0498, decode.acc_seg: 86.4613, decode.kl_loss: 0.0748, loss: 0.1246 +2023-03-06 03:11:39,472 - mmseg - INFO - Iter [59450/160000] lr: 3.750e-05, eta: 6:44:08, time: 0.205, data_time: 0.007, memory: 52540, decode.loss_ce: 0.0618, decode.acc_seg: 83.6544, decode.kl_loss: 0.0766, loss: 0.1385 +2023-03-06 03:11:49,366 - mmseg - INFO - Iter [59500/160000] lr: 3.750e-05, eta: 6:43:52, time: 0.198, data_time: 0.007, memory: 52540, decode.loss_ce: 0.0436, decode.acc_seg: 87.9850, decode.kl_loss: 0.0687, loss: 0.1124 +2023-03-06 03:11:59,770 - mmseg - INFO - Iter [59550/160000] lr: 3.750e-05, eta: 6:43:37, time: 0.208, data_time: 0.007, memory: 52540, decode.loss_ce: 0.0403, decode.acc_seg: 89.0198, decode.kl_loss: 0.0667, loss: 0.1070 +2023-03-06 03:12:09,748 - mmseg - INFO - Iter [59600/160000] lr: 3.750e-05, eta: 6:43:22, time: 0.200, data_time: 0.007, memory: 52540, decode.loss_ce: 0.0383, decode.acc_seg: 89.4490, decode.kl_loss: 0.0589, loss: 0.0972 +2023-03-06 03:12:19,655 - mmseg - INFO - Iter [59650/160000] lr: 3.750e-05, eta: 6:43:06, time: 0.198, data_time: 0.007, memory: 52540, decode.loss_ce: 0.0381, decode.acc_seg: 89.7061, decode.kl_loss: 0.0555, loss: 0.0936 +2023-03-06 03:12:29,633 - mmseg - INFO - Iter [59700/160000] lr: 3.750e-05, eta: 6:42:50, time: 0.200, data_time: 0.007, memory: 52540, decode.loss_ce: 0.0375, decode.acc_seg: 89.7889, decode.kl_loss: 0.0591, loss: 0.0967 +2023-03-06 03:12:39,709 - mmseg - INFO - Iter [59750/160000] lr: 3.750e-05, eta: 6:42:35, time: 0.202, data_time: 0.007, memory: 52540, decode.loss_ce: 0.0454, decode.acc_seg: 87.7876, decode.kl_loss: 0.0711, loss: 0.1165 +2023-03-06 03:12:49,771 - mmseg - INFO - Iter [59800/160000] lr: 3.750e-05, eta: 6:42:20, time: 0.201, data_time: 0.007, memory: 52540, decode.loss_ce: 0.0386, decode.acc_seg: 89.4697, decode.kl_loss: 0.0595, loss: 0.0981 +2023-03-06 03:13:00,201 - mmseg - INFO - Iter [59850/160000] lr: 3.750e-05, eta: 6:42:05, time: 0.209, data_time: 0.007, memory: 52540, decode.loss_ce: 0.0382, decode.acc_seg: 89.5344, decode.kl_loss: 0.0595, loss: 0.0977 +2023-03-06 03:13:10,241 - mmseg - INFO - Iter [59900/160000] lr: 3.750e-05, eta: 6:41:50, time: 0.201, data_time: 0.007, memory: 52540, decode.loss_ce: 0.0369, decode.acc_seg: 89.8361, decode.kl_loss: 0.0605, loss: 0.0974 +2023-03-06 03:13:22,689 - mmseg - INFO - Iter [59950/160000] lr: 3.750e-05, eta: 6:41:38, time: 0.249, data_time: 0.055, memory: 52540, decode.loss_ce: 0.0394, decode.acc_seg: 89.0662, decode.kl_loss: 0.0680, loss: 0.1074 +2023-03-06 03:13:32,609 - mmseg - INFO - Exp name: ablation_segformer_mit_b2_segformer_head_unet_fc_small_multi_step_ade_pretrained_freeze_embed_160k_ade20k151_finetune_ema_ce.py +2023-03-06 03:13:32,609 - mmseg - INFO - Iter [60000/160000] lr: 3.750e-05, eta: 6:41:23, time: 0.198, data_time: 0.007, memory: 52540, decode.loss_ce: 0.0385, decode.acc_seg: 89.3798, decode.kl_loss: 0.0627, loss: 0.1012 +2023-03-06 03:13:42,911 - mmseg - INFO - Iter [60050/160000] lr: 1.875e-05, eta: 6:41:08, time: 0.206, data_time: 0.007, memory: 52540, decode.loss_ce: 0.0387, decode.acc_seg: 89.3129, decode.kl_loss: 0.0633, loss: 0.1020 +2023-03-06 03:13:53,111 - mmseg - INFO - Iter [60100/160000] lr: 1.875e-05, eta: 6:40:53, time: 0.204, data_time: 0.007, memory: 52540, decode.loss_ce: 0.0415, decode.acc_seg: 88.6495, decode.kl_loss: 0.0732, loss: 0.1147 +2023-03-06 03:14:03,172 - mmseg - INFO - Iter [60150/160000] lr: 1.875e-05, eta: 6:40:37, time: 0.201, data_time: 0.007, memory: 52540, decode.loss_ce: 0.0397, decode.acc_seg: 89.2211, decode.kl_loss: 0.0671, loss: 0.1068 +2023-03-06 03:14:13,085 - mmseg - INFO - Iter [60200/160000] lr: 1.875e-05, eta: 6:40:22, time: 0.198, data_time: 0.007, memory: 52540, decode.loss_ce: 0.0446, decode.acc_seg: 87.8184, decode.kl_loss: 0.0689, loss: 0.1135 +2023-03-06 03:14:23,230 - mmseg - INFO - Iter [60250/160000] lr: 1.875e-05, eta: 6:40:07, time: 0.203, data_time: 0.007, memory: 52540, decode.loss_ce: 0.0416, decode.acc_seg: 88.6140, decode.kl_loss: 0.0650, loss: 0.1067 +2023-03-06 03:14:33,251 - mmseg - INFO - Iter [60300/160000] lr: 1.875e-05, eta: 6:39:51, time: 0.200, data_time: 0.007, memory: 52540, decode.loss_ce: 0.0382, decode.acc_seg: 89.5231, decode.kl_loss: 0.0597, loss: 0.0978 +2023-03-06 03:14:43,405 - mmseg - INFO - Iter [60350/160000] lr: 1.875e-05, eta: 6:39:36, time: 0.203, data_time: 0.007, memory: 52540, decode.loss_ce: 0.0422, decode.acc_seg: 88.1790, decode.kl_loss: 0.0654, loss: 0.1076 +2023-03-06 03:14:53,584 - mmseg - INFO - Iter [60400/160000] lr: 1.875e-05, eta: 6:39:21, time: 0.204, data_time: 0.007, memory: 52540, decode.loss_ce: 0.0417, decode.acc_seg: 88.3037, decode.kl_loss: 0.0643, loss: 0.1059 +2023-03-06 03:15:04,069 - mmseg - INFO - Iter [60450/160000] lr: 1.875e-05, eta: 6:39:06, time: 0.210, data_time: 0.007, memory: 52540, decode.loss_ce: 0.0460, decode.acc_seg: 87.0303, decode.kl_loss: 0.0705, loss: 0.1164 +2023-03-06 03:15:13,979 - mmseg - INFO - Iter [60500/160000] lr: 1.875e-05, eta: 6:38:51, time: 0.198, data_time: 0.007, memory: 52540, decode.loss_ce: 0.0415, decode.acc_seg: 88.3911, decode.kl_loss: 0.0648, loss: 0.1063 +2023-03-06 03:15:23,997 - mmseg - INFO - Iter [60550/160000] lr: 1.875e-05, eta: 6:38:36, time: 0.200, data_time: 0.007, memory: 52540, decode.loss_ce: 0.0435, decode.acc_seg: 87.7634, decode.kl_loss: 0.0669, loss: 0.1104 +2023-03-06 03:15:36,772 - mmseg - INFO - Iter [60600/160000] lr: 1.875e-05, eta: 6:38:25, time: 0.255, data_time: 0.058, memory: 52540, decode.loss_ce: 0.0410, decode.acc_seg: 88.5778, decode.kl_loss: 0.0636, loss: 0.1046 +2023-03-06 03:15:46,830 - mmseg - INFO - Iter [60650/160000] lr: 1.875e-05, eta: 6:38:09, time: 0.201, data_time: 0.007, memory: 52540, decode.loss_ce: 0.0404, decode.acc_seg: 88.7386, decode.kl_loss: 0.0646, loss: 0.1049 +2023-03-06 03:15:56,716 - mmseg - INFO - Iter [60700/160000] lr: 1.875e-05, eta: 6:37:54, time: 0.198, data_time: 0.007, memory: 52540, decode.loss_ce: 0.0388, decode.acc_seg: 89.2064, decode.kl_loss: 0.0617, loss: 0.1005 +2023-03-06 03:16:06,655 - mmseg - INFO - Iter [60750/160000] lr: 1.875e-05, eta: 6:37:39, time: 0.199, data_time: 0.007, memory: 52540, decode.loss_ce: 0.0417, decode.acc_seg: 88.5055, decode.kl_loss: 0.0628, loss: 0.1045 +2023-03-06 03:16:16,675 - mmseg - INFO - Iter [60800/160000] lr: 1.875e-05, eta: 6:37:23, time: 0.200, data_time: 0.007, memory: 52540, decode.loss_ce: 0.0416, decode.acc_seg: 88.4613, decode.kl_loss: 0.0645, loss: 0.1061 +2023-03-06 03:16:26,690 - mmseg - INFO - Iter [60850/160000] lr: 1.875e-05, eta: 6:37:08, time: 0.200, data_time: 0.007, memory: 52540, decode.loss_ce: 0.0413, decode.acc_seg: 88.5601, decode.kl_loss: 0.0625, loss: 0.1037 +2023-03-06 03:16:36,612 - mmseg - INFO - Iter [60900/160000] lr: 1.875e-05, eta: 6:36:53, time: 0.198, data_time: 0.007, memory: 52540, decode.loss_ce: 0.0392, decode.acc_seg: 88.9790, decode.kl_loss: 0.0647, loss: 0.1039 +2023-03-06 03:16:46,862 - mmseg - INFO - Iter [60950/160000] lr: 1.875e-05, eta: 6:36:38, time: 0.205, data_time: 0.007, memory: 52540, decode.loss_ce: 0.0401, decode.acc_seg: 88.8534, decode.kl_loss: 0.0619, loss: 0.1020 +2023-03-06 03:16:56,940 - mmseg - INFO - Exp name: ablation_segformer_mit_b2_segformer_head_unet_fc_small_multi_step_ade_pretrained_freeze_embed_160k_ade20k151_finetune_ema_ce.py +2023-03-06 03:16:56,940 - mmseg - INFO - Iter [61000/160000] lr: 1.875e-05, eta: 6:36:23, time: 0.202, data_time: 0.007, memory: 52540, decode.loss_ce: 0.0410, decode.acc_seg: 88.9799, decode.kl_loss: 0.0588, loss: 0.0998 +2023-03-06 03:17:06,948 - mmseg - INFO - Iter [61050/160000] lr: 1.875e-05, eta: 6:36:07, time: 0.200, data_time: 0.007, memory: 52540, decode.loss_ce: 0.0394, decode.acc_seg: 89.0732, decode.kl_loss: 0.0603, loss: 0.0997 +2023-03-06 03:17:17,156 - mmseg - INFO - Iter [61100/160000] lr: 1.875e-05, eta: 6:35:52, time: 0.204, data_time: 0.007, memory: 52540, decode.loss_ce: 0.0399, decode.acc_seg: 88.7832, decode.kl_loss: 0.0639, loss: 0.1039 +2023-03-06 03:17:27,035 - mmseg - INFO - Iter [61150/160000] lr: 1.875e-05, eta: 6:35:37, time: 0.198, data_time: 0.007, memory: 52540, decode.loss_ce: 0.0390, decode.acc_seg: 89.0020, decode.kl_loss: 0.0626, loss: 0.1016 +2023-03-06 03:17:37,270 - mmseg - INFO - Iter [61200/160000] lr: 1.875e-05, eta: 6:35:22, time: 0.205, data_time: 0.007, memory: 52540, decode.loss_ce: 0.0379, decode.acc_seg: 89.3639, decode.kl_loss: 0.0594, loss: 0.0972 +2023-03-06 03:17:49,884 - mmseg - INFO - Iter [61250/160000] lr: 1.875e-05, eta: 6:35:11, time: 0.252, data_time: 0.057, memory: 52540, decode.loss_ce: 0.0380, decode.acc_seg: 89.4402, decode.kl_loss: 0.0632, loss: 0.1012 +2023-03-06 03:18:00,090 - mmseg - INFO - Iter [61300/160000] lr: 1.875e-05, eta: 6:34:56, time: 0.204, data_time: 0.007, memory: 52540, decode.loss_ce: 0.0389, decode.acc_seg: 89.2708, decode.kl_loss: 0.0670, loss: 0.1059 +2023-03-06 03:18:10,131 - mmseg - INFO - Iter [61350/160000] lr: 1.875e-05, eta: 6:34:41, time: 0.201, data_time: 0.007, memory: 52540, decode.loss_ce: 0.0390, decode.acc_seg: 89.2611, decode.kl_loss: 0.0727, loss: 0.1117 +2023-03-06 03:18:20,062 - mmseg - INFO - Iter [61400/160000] lr: 1.875e-05, eta: 6:34:26, time: 0.199, data_time: 0.007, memory: 52540, decode.loss_ce: 0.0406, decode.acc_seg: 88.8064, decode.kl_loss: 0.0750, loss: 0.1157 +2023-03-06 03:18:30,042 - mmseg - INFO - Iter [61450/160000] lr: 1.875e-05, eta: 6:34:10, time: 0.200, data_time: 0.007, memory: 52540, decode.loss_ce: 0.0425, decode.acc_seg: 88.3180, decode.kl_loss: 0.0728, loss: 0.1153 +2023-03-06 03:18:39,997 - mmseg - INFO - Iter [61500/160000] lr: 1.875e-05, eta: 6:33:55, time: 0.199, data_time: 0.007, memory: 52540, decode.loss_ce: 0.0498, decode.acc_seg: 86.4220, decode.kl_loss: 0.0780, loss: 0.1277 +2023-03-06 03:18:49,955 - mmseg - INFO - Iter [61550/160000] lr: 1.875e-05, eta: 6:33:40, time: 0.199, data_time: 0.007, memory: 52540, decode.loss_ce: 0.0462, decode.acc_seg: 87.3823, decode.kl_loss: 0.0744, loss: 0.1206 +2023-03-06 03:19:00,029 - mmseg - INFO - Iter [61600/160000] lr: 1.875e-05, eta: 6:33:25, time: 0.201, data_time: 0.007, memory: 52540, decode.loss_ce: 0.0438, decode.acc_seg: 88.0321, decode.kl_loss: 0.0712, loss: 0.1149 +2023-03-06 03:19:10,054 - mmseg - INFO - Iter [61650/160000] lr: 1.875e-05, eta: 6:33:10, time: 0.200, data_time: 0.007, memory: 52540, decode.loss_ce: 0.0416, decode.acc_seg: 88.4351, decode.kl_loss: 0.0686, loss: 0.1102 +2023-03-06 03:19:20,006 - mmseg - INFO - Iter [61700/160000] lr: 1.875e-05, eta: 6:32:54, time: 0.199, data_time: 0.007, memory: 52540, decode.loss_ce: 0.0410, decode.acc_seg: 88.8077, decode.kl_loss: 0.0667, loss: 0.1077 +2023-03-06 03:19:29,941 - mmseg - INFO - Iter [61750/160000] lr: 1.875e-05, eta: 6:32:39, time: 0.199, data_time: 0.007, memory: 52540, decode.loss_ce: 0.0422, decode.acc_seg: 88.3574, decode.kl_loss: 0.0728, loss: 0.1150 +2023-03-06 03:19:39,908 - mmseg - INFO - Iter [61800/160000] lr: 1.875e-05, eta: 6:32:24, time: 0.199, data_time: 0.007, memory: 52540, decode.loss_ce: 0.0418, decode.acc_seg: 88.4998, decode.kl_loss: 0.0680, loss: 0.1099 +2023-03-06 03:19:52,630 - mmseg - INFO - Iter [61850/160000] lr: 1.875e-05, eta: 6:32:13, time: 0.254, data_time: 0.054, memory: 52540, decode.loss_ce: 0.0413, decode.acc_seg: 88.4876, decode.kl_loss: 0.0672, loss: 0.1085 +2023-03-06 03:20:02,925 - mmseg - INFO - Iter [61900/160000] lr: 1.875e-05, eta: 6:31:58, time: 0.206, data_time: 0.007, memory: 52540, decode.loss_ce: 0.0381, decode.acc_seg: 89.3139, decode.kl_loss: 0.0649, loss: 0.1030 +2023-03-06 03:20:12,827 - mmseg - INFO - Iter [61950/160000] lr: 1.875e-05, eta: 6:31:43, time: 0.198, data_time: 0.007, memory: 52540, decode.loss_ce: 0.0390, decode.acc_seg: 89.0937, decode.kl_loss: 0.0680, loss: 0.1070 +2023-03-06 03:20:22,741 - mmseg - INFO - Exp name: ablation_segformer_mit_b2_segformer_head_unet_fc_small_multi_step_ade_pretrained_freeze_embed_160k_ade20k151_finetune_ema_ce.py +2023-03-06 03:20:22,742 - mmseg - INFO - Iter [62000/160000] lr: 1.875e-05, eta: 6:31:28, time: 0.198, data_time: 0.007, memory: 52540, decode.loss_ce: 0.0409, decode.acc_seg: 88.8109, decode.kl_loss: 0.0669, loss: 0.1078 +2023-03-06 03:20:33,125 - mmseg - INFO - Iter [62050/160000] lr: 1.875e-05, eta: 6:31:13, time: 0.208, data_time: 0.008, memory: 52540, decode.loss_ce: 0.0405, decode.acc_seg: 88.6273, decode.kl_loss: 0.0663, loss: 0.1068 +2023-03-06 03:20:43,060 - mmseg - INFO - Iter [62100/160000] lr: 1.875e-05, eta: 6:30:58, time: 0.199, data_time: 0.007, memory: 52540, decode.loss_ce: 0.0395, decode.acc_seg: 88.9338, decode.kl_loss: 0.0666, loss: 0.1061 +2023-03-06 03:20:53,199 - mmseg - INFO - Iter [62150/160000] lr: 1.875e-05, eta: 6:30:43, time: 0.203, data_time: 0.007, memory: 52540, decode.loss_ce: 0.0390, decode.acc_seg: 89.0025, decode.kl_loss: 0.0683, loss: 0.1072 +2023-03-06 03:21:03,381 - mmseg - INFO - Iter [62200/160000] lr: 1.875e-05, eta: 6:30:28, time: 0.204, data_time: 0.007, memory: 52540, decode.loss_ce: 0.0396, decode.acc_seg: 88.9784, decode.kl_loss: 0.0682, loss: 0.1078 +2023-03-06 03:21:13,464 - mmseg - INFO - Iter [62250/160000] lr: 1.875e-05, eta: 6:30:13, time: 0.202, data_time: 0.007, memory: 52540, decode.loss_ce: 0.0407, decode.acc_seg: 88.9005, decode.kl_loss: 0.0673, loss: 0.1080 +2023-03-06 03:21:23,716 - mmseg - INFO - Iter [62300/160000] lr: 1.875e-05, eta: 6:29:59, time: 0.205, data_time: 0.007, memory: 52540, decode.loss_ce: 0.0392, decode.acc_seg: 89.0236, decode.kl_loss: 0.0689, loss: 0.1082 +2023-03-06 03:21:33,667 - mmseg - INFO - Iter [62350/160000] lr: 1.875e-05, eta: 6:29:44, time: 0.199, data_time: 0.007, memory: 52540, decode.loss_ce: 0.0410, decode.acc_seg: 88.5695, decode.kl_loss: 0.0735, loss: 0.1146 +2023-03-06 03:21:43,695 - mmseg - INFO - Iter [62400/160000] lr: 1.875e-05, eta: 6:29:29, time: 0.201, data_time: 0.007, memory: 52540, decode.loss_ce: 0.0376, decode.acc_seg: 89.4596, decode.kl_loss: 0.0700, loss: 0.1076 +2023-03-06 03:21:53,822 - mmseg - INFO - Iter [62450/160000] lr: 1.875e-05, eta: 6:29:14, time: 0.203, data_time: 0.007, memory: 52540, decode.loss_ce: 0.0382, decode.acc_seg: 89.3187, decode.kl_loss: 0.0653, loss: 0.1035 +2023-03-06 03:22:06,448 - mmseg - INFO - Iter [62500/160000] lr: 1.875e-05, eta: 6:29:03, time: 0.252, data_time: 0.054, memory: 52540, decode.loss_ce: 0.0375, decode.acc_seg: 89.5674, decode.kl_loss: 0.0682, loss: 0.1057 +2023-03-06 03:22:16,330 - mmseg - INFO - Iter [62550/160000] lr: 1.875e-05, eta: 6:28:48, time: 0.198, data_time: 0.007, memory: 52540, decode.loss_ce: 0.0380, decode.acc_seg: 89.5337, decode.kl_loss: 0.0652, loss: 0.1033 +2023-03-06 03:22:26,393 - mmseg - INFO - Iter [62600/160000] lr: 1.875e-05, eta: 6:28:33, time: 0.201, data_time: 0.007, memory: 52540, decode.loss_ce: 0.0401, decode.acc_seg: 88.8257, decode.kl_loss: 0.0724, loss: 0.1125 +2023-03-06 03:22:36,425 - mmseg - INFO - Iter [62650/160000] lr: 1.875e-05, eta: 6:28:18, time: 0.201, data_time: 0.007, memory: 52540, decode.loss_ce: 0.0442, decode.acc_seg: 87.8514, decode.kl_loss: 0.0811, loss: 0.1253 +2023-03-06 03:22:46,561 - mmseg - INFO - Iter [62700/160000] lr: 1.875e-05, eta: 6:28:03, time: 0.203, data_time: 0.007, memory: 52540, decode.loss_ce: 0.0397, decode.acc_seg: 88.8651, decode.kl_loss: 0.0719, loss: 0.1117 +2023-03-06 03:22:56,518 - mmseg - INFO - Iter [62750/160000] lr: 1.875e-05, eta: 6:27:48, time: 0.199, data_time: 0.007, memory: 52540, decode.loss_ce: 0.0383, decode.acc_seg: 89.4411, decode.kl_loss: 0.0712, loss: 0.1095 +2023-03-06 03:23:06,709 - mmseg - INFO - Iter [62800/160000] lr: 1.875e-05, eta: 6:27:33, time: 0.204, data_time: 0.007, memory: 52540, decode.loss_ce: 0.0406, decode.acc_seg: 88.9983, decode.kl_loss: 0.0690, loss: 0.1097 +2023-03-06 03:23:16,595 - mmseg - INFO - Iter [62850/160000] lr: 1.875e-05, eta: 6:27:18, time: 0.198, data_time: 0.007, memory: 52540, decode.loss_ce: 0.0396, decode.acc_seg: 89.2807, decode.kl_loss: 0.0657, loss: 0.1053 +2023-03-06 03:23:26,641 - mmseg - INFO - Iter [62900/160000] lr: 1.875e-05, eta: 6:27:03, time: 0.201, data_time: 0.007, memory: 52540, decode.loss_ce: 0.0377, decode.acc_seg: 89.6102, decode.kl_loss: 0.0637, loss: 0.1014 +2023-03-06 03:23:36,563 - mmseg - INFO - Iter [62950/160000] lr: 1.875e-05, eta: 6:26:48, time: 0.198, data_time: 0.007, memory: 52540, decode.loss_ce: 0.0370, decode.acc_seg: 89.7049, decode.kl_loss: 0.0685, loss: 0.1056 +2023-03-06 03:23:46,678 - mmseg - INFO - Exp name: ablation_segformer_mit_b2_segformer_head_unet_fc_small_multi_step_ade_pretrained_freeze_embed_160k_ade20k151_finetune_ema_ce.py +2023-03-06 03:23:46,678 - mmseg - INFO - Iter [63000/160000] lr: 1.875e-05, eta: 6:26:33, time: 0.202, data_time: 0.007, memory: 52540, decode.loss_ce: 0.0385, decode.acc_seg: 89.3968, decode.kl_loss: 0.0659, loss: 0.1043 +2023-03-06 03:23:56,719 - mmseg - INFO - Iter [63050/160000] lr: 1.875e-05, eta: 6:26:18, time: 0.201, data_time: 0.007, memory: 52540, decode.loss_ce: 0.0379, decode.acc_seg: 89.5824, decode.kl_loss: 0.0627, loss: 0.1007 +2023-03-06 03:24:06,711 - mmseg - INFO - Iter [63100/160000] lr: 1.875e-05, eta: 6:26:03, time: 0.200, data_time: 0.007, memory: 52540, decode.loss_ce: 0.0379, decode.acc_seg: 89.4293, decode.kl_loss: 0.0674, loss: 0.1053 +2023-03-06 03:24:19,516 - mmseg - INFO - Iter [63150/160000] lr: 1.875e-05, eta: 6:25:53, time: 0.256, data_time: 0.056, memory: 52540, decode.loss_ce: 0.0373, decode.acc_seg: 89.3909, decode.kl_loss: 0.0718, loss: 0.1091 +2023-03-06 03:24:29,557 - mmseg - INFO - Iter [63200/160000] lr: 1.875e-05, eta: 6:25:38, time: 0.201, data_time: 0.007, memory: 52540, decode.loss_ce: 0.0393, decode.acc_seg: 89.1235, decode.kl_loss: 0.0708, loss: 0.1101 +2023-03-06 03:24:39,723 - mmseg - INFO - Iter [63250/160000] lr: 1.875e-05, eta: 6:25:23, time: 0.203, data_time: 0.007, memory: 52540, decode.loss_ce: 0.0391, decode.acc_seg: 89.1829, decode.kl_loss: 0.0709, loss: 0.1100 +2023-03-06 03:24:49,820 - mmseg - INFO - Iter [63300/160000] lr: 1.875e-05, eta: 6:25:08, time: 0.202, data_time: 0.007, memory: 52540, decode.loss_ce: 0.0400, decode.acc_seg: 89.0067, decode.kl_loss: 0.0694, loss: 0.1093 +2023-03-06 03:25:00,080 - mmseg - INFO - Iter [63350/160000] lr: 1.875e-05, eta: 6:24:54, time: 0.205, data_time: 0.007, memory: 52540, decode.loss_ce: 0.0389, decode.acc_seg: 89.1996, decode.kl_loss: 0.0718, loss: 0.1107 +2023-03-06 03:25:10,112 - mmseg - INFO - Iter [63400/160000] lr: 1.875e-05, eta: 6:24:39, time: 0.201, data_time: 0.007, memory: 52540, decode.loss_ce: 0.0388, decode.acc_seg: 89.2718, decode.kl_loss: 0.0704, loss: 0.1092 +2023-03-06 03:25:20,231 - mmseg - INFO - Iter [63450/160000] lr: 1.875e-05, eta: 6:24:24, time: 0.202, data_time: 0.007, memory: 52540, decode.loss_ce: 0.0413, decode.acc_seg: 88.5722, decode.kl_loss: 0.0714, loss: 0.1128 +2023-03-06 03:25:30,157 - mmseg - INFO - Iter [63500/160000] lr: 1.875e-05, eta: 6:24:09, time: 0.199, data_time: 0.008, memory: 52540, decode.loss_ce: 0.0385, decode.acc_seg: 89.3000, decode.kl_loss: 0.0694, loss: 0.1079 +2023-03-06 03:25:40,390 - mmseg - INFO - Iter [63550/160000] lr: 1.875e-05, eta: 6:23:55, time: 0.205, data_time: 0.008, memory: 52540, decode.loss_ce: 0.0400, decode.acc_seg: 88.7239, decode.kl_loss: 0.0710, loss: 0.1110 +2023-03-06 03:25:50,420 - mmseg - INFO - Iter [63600/160000] lr: 1.875e-05, eta: 6:23:40, time: 0.201, data_time: 0.007, memory: 52540, decode.loss_ce: 0.0396, decode.acc_seg: 88.8751, decode.kl_loss: 0.0699, loss: 0.1094 +2023-03-06 03:26:00,321 - mmseg - INFO - Iter [63650/160000] lr: 1.875e-05, eta: 6:23:25, time: 0.198, data_time: 0.007, memory: 52540, decode.loss_ce: 0.0434, decode.acc_seg: 87.8922, decode.kl_loss: 0.0743, loss: 0.1177 +2023-03-06 03:26:10,333 - mmseg - INFO - Iter [63700/160000] lr: 1.875e-05, eta: 6:23:10, time: 0.200, data_time: 0.007, memory: 52540, decode.loss_ce: 0.0476, decode.acc_seg: 87.1245, decode.kl_loss: 0.0803, loss: 0.1279 +2023-03-06 03:26:22,866 - mmseg - INFO - Iter [63750/160000] lr: 1.875e-05, eta: 6:22:59, time: 0.251, data_time: 0.054, memory: 52540, decode.loss_ce: 0.0424, decode.acc_seg: 88.2761, decode.kl_loss: 0.0753, loss: 0.1177 +2023-03-06 03:26:33,444 - mmseg - INFO - Iter [63800/160000] lr: 1.875e-05, eta: 6:22:45, time: 0.212, data_time: 0.008, memory: 52540, decode.loss_ce: 0.0424, decode.acc_seg: 88.3754, decode.kl_loss: 0.0701, loss: 0.1125 +2023-03-06 03:26:43,406 - mmseg - INFO - Iter [63850/160000] lr: 1.875e-05, eta: 6:22:30, time: 0.199, data_time: 0.007, memory: 52540, decode.loss_ce: 0.0392, decode.acc_seg: 88.8194, decode.kl_loss: 0.0663, loss: 0.1055 +2023-03-06 03:26:53,598 - mmseg - INFO - Iter [63900/160000] lr: 1.875e-05, eta: 6:22:15, time: 0.204, data_time: 0.007, memory: 52540, decode.loss_ce: 0.0389, decode.acc_seg: 89.1949, decode.kl_loss: 0.0660, loss: 0.1049 +2023-03-06 03:27:03,494 - mmseg - INFO - Iter [63950/160000] lr: 1.875e-05, eta: 6:22:00, time: 0.198, data_time: 0.007, memory: 52540, decode.loss_ce: 0.0397, decode.acc_seg: 88.8231, decode.kl_loss: 0.0633, loss: 0.1030 +2023-03-06 03:27:13,409 - mmseg - INFO - Swap parameters (after train) after iter [64000] +2023-03-06 03:27:13,422 - mmseg - INFO - Saving checkpoint at 64000 iterations +2023-03-06 03:27:14,449 - mmseg - INFO - Exp name: ablation_segformer_mit_b2_segformer_head_unet_fc_small_multi_step_ade_pretrained_freeze_embed_160k_ade20k151_finetune_ema_ce.py +2023-03-06 03:27:14,449 - mmseg - INFO - Iter [64000/160000] lr: 1.875e-05, eta: 6:21:47, time: 0.219, data_time: 0.007, memory: 52540, decode.loss_ce: 0.0383, decode.acc_seg: 89.3610, decode.kl_loss: 0.0629, loss: 0.1012 +2023-03-06 03:38:27,981 - mmseg - INFO - per class results: +2023-03-06 03:38:27,992 - mmseg - INFO - ++---------------------+-------------------------------------------------------------------+ +| Class | IoU 0,10,20,30,40,50,60,70,80,90,99 | ++---------------------+-------------------------------------------------------------------+ +| background | nan,nan,nan,nan,nan,nan,nan,nan,nan,nan,nan | +| wall | 75.07,75.23,75.21,75.2,75.18,75.16,75.15,75.12,75.12,75.09,74.98 | +| building | 80.37,80.45,80.44,80.43,80.44,80.42,80.42,80.41,80.41,80.38,80.31 | +| sky | 93.79,93.86,93.85,93.84,93.83,93.82,93.8,93.78,93.76,93.71,93.62 | +| floor | 79.88,80.07,80.07,80.05,80.03,80.02,79.99,79.98,79.94,79.89,79.81 | +| tree | 72.75,72.88,72.9,72.87,72.9,72.86,72.85,72.81,72.76,72.63,72.41 | +| ceiling | 83.31,83.48,83.49,83.5,83.49,83.46,83.46,83.42,83.38,83.31,83.23 | +| road | 80.86,81.01,81.0,80.98,80.98,80.97,80.95,80.92,80.89,80.82,80.72 | +| bed | 84.94,85.08,85.1,85.12,85.13,85.12,85.12,85.12,85.09,85.0,84.98 | +| windowpane | 57.57,57.9,57.88,57.88,57.8,57.75,57.67,57.61,57.49,57.3,56.99 | +| grass | 64.12,64.64,64.64,64.62,64.61,64.57,64.49,64.44,64.38,64.35,64.24 | +| cabinet | 58.08,58.26,58.3,58.25,58.26,58.28,58.28,58.24,58.18,58.02,57.85 | +| sidewalk | 60.66,60.95,60.93,60.92,60.9,60.86,60.82,60.77,60.68,60.57,60.42 | +| person | 77.35,77.58,77.57,77.5,77.47,77.45,77.46,77.41,77.37,77.31,77.17 | +| earth | 34.97,35.18,35.15,35.18,35.15,35.16,35.13,35.09,34.99,34.84,34.71 | +| door | 41.9,42.29,42.3,42.28,42.26,42.2,42.16,42.12,42.1,42.07,42.08 | +| table | 54.64,55.09,55.22,55.17,55.1,55.12,55.06,55.01,54.94,54.74,54.4 | +| mountain | 55.21,55.25,55.26,55.31,55.33,55.36,55.34,55.37,55.34,55.32,55.32 | +| plant | 48.68,48.86,48.92,48.87,48.88,48.88,48.92,48.91,48.87,48.74,48.64 | +| curtain | 72.1,72.38,72.36,72.44,72.52,72.51,72.4,72.43,72.38,72.24,72.0 | +| chair | 49.4,50.05,50.02,49.91,49.88,49.76,49.64,49.5,49.31,49.08,48.85 | +| car | 80.06,80.29,80.22,80.26,80.29,80.3,80.23,80.19,80.15,80.02,79.84 | +| water | 57.7,57.74,57.73,57.76,57.78,57.81,57.83,57.83,57.87,57.86,57.83 | +| painting | 68.61,68.89,68.96,68.93,68.94,68.84,68.76,68.69,68.59,68.45,68.16 | +| sofa | 60.42,60.79,60.77,60.76,60.76,60.76,60.71,60.71,60.68,60.53,60.36 | +| shelf | 42.04,42.4,42.4,42.38,42.37,42.29,42.32,42.21,42.15,41.93,41.69 | +| house | 35.82,35.9,35.86,35.87,35.92,35.95,36.07,36.13,36.28,36.71,37.24 | +| sea | 60.83,60.84,60.83,60.81,60.86,60.98,60.98,60.97,61.0,60.99,60.93 | +| mirror | 60.13,60.53,60.52,60.56,60.43,60.43,60.45,60.44,60.37,60.32,60.41 | +| rug | 60.23,60.52,60.51,60.45,60.48,60.46,60.39,60.44,60.37,60.28,60.14 | +| field | 30.1,30.15,30.22,30.22,30.25,30.28,30.24,30.24,30.16,30.14,30.11 | +| armchair | 34.55,34.82,34.93,34.97,35.06,35.07,34.91,34.94,34.85,34.7,34.58 | +| seat | 65.24,65.33,65.38,65.32,65.4,65.35,65.36,65.29,65.27,65.18,65.06 | +| fence | 37.54,37.94,37.89,37.96,38.07,37.97,38.01,38.07,38.07,38.12,38.18 | +| desk | 43.83,43.95,44.21,44.22,44.23,44.14,44.23,44.16,44.13,43.95,43.91 | +| rock | 36.6,36.65,36.54,36.56,36.52,36.54,36.51,36.58,36.52,36.46,36.43 | +| wardrobe | 54.17,54.58,54.67,54.78,54.8,54.8,54.79,54.79,54.66,54.47,54.24 | +| lamp | 54.45,55.17,55.04,54.99,54.88,54.72,54.69,54.59,54.46,54.4,54.19 | +| bathtub | 73.77,73.71,73.75,73.76,73.78,73.79,73.77,73.75,73.72,73.66,73.63 | +| railing | 32.25,32.37,32.5,32.52,32.5,32.62,32.64,32.68,32.77,32.79,32.76 | +| cushion | 48.58,49.29,49.23,49.12,49.11,48.9,48.87,48.82,48.68,48.34,47.75 | +| base | 20.29,20.57,20.49,20.49,20.5,20.49,20.37,20.46,20.37,20.43,20.41 | +| box | 20.61,20.87,20.95,20.87,20.96,21.06,21.02,21.04,21.08,21.15,21.07 | +| column | 42.48,42.73,42.77,42.82,42.92,43.0,43.06,43.15,43.11,43.14,43.16 | +| signboard | 33.49,34.08,34.01,33.99,34.07,34.13,34.14,34.31,34.36,34.53,34.59 | +| chest of drawers | 34.83,34.69,34.87,34.79,34.92,35.07,35.24,35.17,35.08,35.05,34.78 | +| counter | 30.32,30.49,30.68,30.73,30.99,30.94,31.07,31.02,30.86,30.64,30.32 | +| sand | 36.06,36.36,36.44,36.4,36.39,36.38,36.4,36.35,36.45,36.61,36.7 | +| sink | 63.07,63.38,63.46,63.26,63.3,63.23,63.16,63.1,63.01,62.74,62.54 | +| skyscraper | 51.92,51.23,51.05,51.11,51.11,51.34,51.43,51.61,51.88,52.28,52.43 | +| fireplace | 71.63,72.0,72.13,72.18,72.12,72.21,72.08,71.97,71.88,71.64,71.44 | +| refrigerator | 70.42,70.66,70.68,70.79,70.8,70.89,70.85,70.95,70.95,71.01,70.98 | +| grandstand | 52.29,52.07,52.17,52.2,52.51,52.42,52.56,52.61,52.68,52.65,52.65 | +| path | 20.66,20.64,20.39,20.47,20.31,20.39,20.37,20.4,20.47,20.52,20.55 | +| stairs | 30.27,30.4,30.22,30.18,30.26,30.17,30.12,30.03,29.96,29.85,29.81 | +| runway | 48.88,51.46,51.24,51.07,50.75,50.36,49.94,49.46,49.01,48.66,48.08 | +| case | 45.83,46.56,46.64,46.64,46.71,46.71,46.74,46.51,46.47,46.51,46.55 | +| pool table | 90.3,90.44,90.37,90.49,90.4,90.45,90.46,90.49,90.49,90.48,90.47 | +| pillow | 49.09,49.58,49.52,49.59,49.49,49.37,49.41,49.7,49.73,49.54,49.69 | +| screen door | 62.37,62.96,62.83,62.83,62.75,62.8,62.81,62.75,62.63,62.69,62.77 | +| stairway | 21.93,22.37,22.32,22.23,22.33,22.26,22.24,22.26,22.23,22.21,22.25 | +| river | 11.51,11.57,11.56,11.52,11.5,11.5,11.47,11.46,11.44,11.44,11.48 | +| bridge | 34.79,34.0,33.79,34.15,34.03,34.03,34.18,34.42,34.44,34.66,34.87 | +| bookcase | 42.12,42.72,42.7,42.71,42.63,42.62,42.63,42.52,42.4,42.22,41.91 | +| blind | 32.96,33.14,33.16,33.17,32.97,33.01,32.97,32.91,32.95,33.0,33.09 | +| coffee table | 52.11,52.28,52.23,52.36,52.24,52.24,52.15,52.05,51.84,51.59,51.4 | +| toilet | 78.78,79.06,79.14,79.1,79.21,79.07,79.07,79.01,79.03,78.85,78.72 | +| flower | 37.06,37.38,37.5,37.35,37.33,37.23,37.24,37.2,37.34,37.15,37.17 | +| book | 40.12,40.13,40.16,40.24,40.19,40.14,40.01,40.04,40.04,40.1,40.12 | +| hill | 11.57,11.76,11.77,11.69,11.66,11.65,11.62,11.73,11.72,11.77,11.91 | +| bench | 40.49,41.38,41.11,41.2,41.16,41.1,41.02,40.77,40.66,40.38,40.18 | +| countertop | 49.78,50.0,50.05,50.1,50.06,49.97,49.93,49.98,49.81,49.81,49.79 | +| stove | 67.63,68.0,68.03,68.29,68.13,68.16,68.24,68.23,68.09,68.16,68.08 | +| palm | 47.75,47.86,48.0,47.91,47.82,47.77,47.81,47.75,47.85,47.72,47.78 | +| kitchen island | 33.59,33.92,34.31,34.3,34.28,34.35,34.33,34.21,34.11,33.94,33.86 | +| computer | 56.16,56.32,56.43,56.38,56.46,56.55,56.53,56.4,56.36,56.23,56.15 | +| swivel chair | 41.14,41.37,41.44,41.42,41.56,41.63,42.0,42.12,42.27,42.41,42.27 | +| boat | 66.93,67.44,67.57,67.56,67.82,67.83,67.84,67.97,67.93,67.84,67.6 | +| bar | 22.12,22.13,22.09,22.18,22.19,22.25,22.34,22.4,22.48,22.55,22.59 | +| arcade machine | 66.69,67.49,67.37,67.62,67.75,67.67,67.79,67.93,68.14,68.49,68.95 | +| hovel | 32.38,31.18,31.13,31.68,31.78,32.1,32.46,32.91,33.55,34.22,34.79 | +| bus | 77.33,76.94,76.97,77.17,77.31,77.46,77.29,77.34,77.34,77.25,77.11 | +| towel | 54.15,54.69,54.64,54.7,54.8,54.86,54.75,54.83,54.93,54.91,54.97 | +| light | 41.22,40.45,40.52,40.62,40.95,40.91,41.15,41.39,41.52,41.74,42.11 | +| truck | 17.33,17.89,17.43,17.75,17.64,17.54,17.5,17.66,17.78,17.79,17.95 | +| tower | 11.56,11.41,11.42,11.47,11.52,11.63,11.64,11.66,11.74,11.77,11.78 | +| chandelier | 60.86,60.98,61.06,61.29,61.32,61.42,61.39,61.29,61.33,61.24,61.2 | +| awning | 17.8,17.95,17.81,17.94,18.0,17.99,18.1,18.14,18.23,18.29,18.47 | +| streetlight | 19.78,19.62,19.65,19.61,19.77,19.77,19.98,19.94,20.02,20.14,20.25 | +| booth | 35.49,35.48,35.28,34.86,35.12,34.81,34.85,34.61,34.79,34.8,35.17 | +| television receiver | 63.2,63.48,63.51,63.6,63.43,63.65,63.55,63.56,63.52,63.44,63.43 | +| airplane | 52.72,53.02,53.05,52.78,52.89,53.01,53.14,53.04,53.07,53.15,53.27 | +| dirt track | 11.95,12.44,12.23,12.47,12.42,12.29,12.25,11.89,11.9,11.93,11.94 | +| apparel | 33.91,34.72,34.44,34.85,34.91,34.92,34.81,34.85,34.67,34.41,34.22 | +| pole | 12.76,13.54,13.45,13.6,13.41,13.35,13.57,13.51,13.58,13.68,13.87 | +| land | 3.06,2.94,2.95,2.84,2.82,2.71,2.81,2.83,2.85,3.07,3.18 | +| bannister | 8.27,8.38,8.26,8.34,8.16,8.36,8.44,8.58,8.6,8.85,9.11 | +| escalator | 23.15,23.35,23.3,23.24,23.15,23.24,23.39,23.48,23.61,23.7,23.85 | +| ottoman | 36.9,37.51,37.71,37.7,37.63,37.45,37.16,37.19,37.18,37.07,37.11 | +| bottle | 28.35,28.5,28.38,28.44,28.74,28.69,28.74,28.88,28.9,29.18,29.69 | +| buffet | 33.36,33.1,33.24,33.47,33.46,33.56,34.24,34.28,34.77,35.32,36.04 | +| poster | 22.31,22.07,22.21,22.41,22.47,22.53,22.52,22.48,22.34,22.27,22.28 | +| stage | 13.0,12.79,12.77,12.85,12.81,12.75,12.85,12.85,12.88,12.95,13.0 | +| van | 37.16,37.59,37.37,37.3,37.33,37.24,37.27,37.25,37.26,37.03,37.05 | +| ship | 71.53,71.59,71.43,72.22,72.57,73.1,73.26,73.76,73.84,73.96,73.93 | +| fountain | 6.87,7.05,7.08,6.63,6.72,6.69,6.8,6.9,7.06,7.31,7.56 | +| conveyer belt | 77.89,78.45,78.79,78.86,78.83,78.94,78.94,78.66,78.36,78.17,77.91 | +| canopy | 21.77,22.27,22.08,22.1,22.1,21.81,21.58,21.54,21.26,21.19,21.14 | +| washer | 75.55,75.05,75.05,74.92,75.04,74.99,75.07,75.34,75.51,75.81,76.21 | +| plaything | 18.18,18.78,18.72,18.6,18.62,18.62,18.49,18.46,18.38,18.43,18.45 | +| swimming pool | 73.87,73.7,74.18,74.23,74.33,74.45,74.71,74.66,74.84,74.95,75.09 | +| stool | 35.69,36.42,36.51,36.72,36.68,36.35,36.39,36.6,36.42,36.48,36.49 | +| barrel | 26.63,25.96,26.98,27.6,28.17,28.35,28.85,29.41,29.23,29.34,28.95 | +| basket | 22.04,22.77,22.49,22.48,22.55,22.43,22.4,22.21,22.22,22.14,22.18 | +| waterfall | 50.24,50.15,50.29,50.36,50.3,50.27,50.28,50.17,50.08,50.03,49.94 | +| tent | 91.59,92.37,92.59,92.84,92.66,92.64,92.69,92.39,92.48,92.22,91.87 | +| bag | 10.89,10.15,10.29,10.13,10.38,10.41,10.57,10.93,10.98,11.2,11.4 | +| minibike | 58.12,58.93,59.28,59.23,59.59,59.49,59.42,59.4,60.25,60.14,60.16 | +| cradle | 80.14,80.42,80.29,80.41,80.38,80.62,80.74,80.66,81.02,81.05,80.93 | +| oven | 42.48,43.54,43.98,43.98,44.13,44.14,44.32,44.34,44.46,44.62,44.8 | +| ball | 40.55,40.77,40.75,40.63,40.74,40.32,40.28,40.09,40.13,39.98,39.86 | +| food | 47.94,47.73,48.25,48.62,48.88,49.25,49.63,49.59,49.67,49.41,48.97 | +| step | 5.66,5.37,5.62,5.51,5.92,5.85,5.6,5.49,5.51,5.37,5.35 | +| tank | 52.71,53.14,53.01,53.17,53.19,53.18,53.1,53.11,53.17,53.23,53.16 | +| trade name | 23.85,24.41,24.28,24.16,24.23,24.24,24.19,23.99,24.18,24.45,24.75 | +| microwave | 70.15,71.12,71.48,71.43,71.77,71.82,71.87,72.17,72.15,72.27,72.24 | +| pot | 23.68,23.84,23.93,24.0,24.28,24.55,24.42,24.55,24.62,24.78,24.86 | +| animal | 52.77,53.39,53.34,53.32,53.38,53.34,53.45,53.53,53.52,53.6,53.71 | +| bicycle | 49.02,48.26,48.52,48.65,48.69,48.64,48.98,49.08,48.9,49.04,48.94 | +| lake | 55.21,55.59,55.67,56.0,56.04,55.97,56.16,56.31,56.27,56.33,56.33 | +| dishwasher | 60.9,61.05,61.15,61.22,61.3,61.36,61.29,61.28,61.21,60.74,60.33 | +| screen | 58.08,59.56,59.86,59.89,59.73,59.42,59.5,59.33,59.35,59.35,59.13 | +| blanket | 13.75,13.9,13.68,13.71,13.76,13.96,14.07,14.12,14.41,14.48,14.58 | +| sculpture | 56.04,56.59,56.87,56.92,57.15,57.07,56.8,56.68,56.23,55.86,55.39 | +| hood | 52.7,52.91,53.11,53.43,53.65,53.34,53.6,53.67,53.86,53.82,53.71 | +| sconce | 27.83,28.79,29.04,29.15,29.35,29.45,29.55,29.41,29.34,29.05,28.73 | +| vase | 29.56,29.66,29.86,30.02,29.96,30.29,30.11,30.18,30.22,30.13,29.88 | +| traffic light | 21.82,22.54,22.61,22.62,22.57,22.34,22.37,22.25,22.04,21.56,21.04 | +| tray | 4.22,4.47,4.28,4.48,4.45,4.48,4.34,4.28,4.38,4.27,4.2 | +| ashcan | 33.08,35.14,34.84,34.98,34.84,34.78,34.69,34.66,34.19,33.88,33.83 | +| fan | 54.04,54.41,54.4,54.65,54.69,54.68,54.63,54.9,54.8,54.72,54.62 | +| pier | 35.01,37.17,37.72,37.36,37.56,37.33,37.58,37.57,37.68,37.68,37.75 | +| crt screen | 4.31,5.08,5.28,4.99,5.03,4.84,4.73,4.89,5.21,5.36,5.52 | +| plate | 43.75,44.08,44.57,45.03,45.2,45.44,45.69,45.85,46.11,46.29,46.17 | +| monitor | 16.45,15.65,15.44,15.3,14.83,14.73,14.29,14.37,14.39,14.46,14.8 | +| bulletin board | 33.17,34.03,34.16,34.11,34.15,34.24,34.12,33.94,33.99,33.88,34.07 | +| shower | 0.48,0.39,0.35,0.35,0.35,0.37,0.39,0.39,0.41,0.47,0.49 | +| radiator | 53.65,51.71,52.03,52.6,52.98,53.77,54.36,54.74,55.27,55.68,55.91 | +| glass | 9.5,8.84,8.96,9.12,9.08,9.26,9.45,9.68,9.92,10.3,10.41 | +| clock | 29.72,29.57,30.16,30.26,30.5,30.05,30.23,30.86,30.07,30.64,31.06 | +| flag | 30.12,30.18,30.27,30.46,30.24,30.26,30.37,30.36,30.51,30.8,31.04 | ++---------------------+-------------------------------------------------------------------+ +2023-03-06 03:38:27,992 - mmseg - INFO - Summary: +2023-03-06 03:38:27,993 - mmseg - INFO - ++-------------------------------------------------------------------+ +| mIoU 0,10,20,30,40,50,60,70,80,90,99 | ++-------------------------------------------------------------------+ +| 44.63,44.87,44.91,44.96,44.99,44.99,45.01,45.02,45.03,45.02,44.99 | ++-------------------------------------------------------------------+ +2023-03-06 03:38:27,993 - mmseg - INFO - Exp name: ablation_segformer_mit_b2_segformer_head_unet_fc_small_multi_step_ade_pretrained_freeze_embed_160k_ade20k151_finetune_ema_ce.py +2023-03-06 03:38:27,993 - mmseg - INFO - Iter(val) [250] mIoU: [0.4463, 0.4487, 0.4491, 0.4496, 0.4499, 0.4499, 0.4501, 0.4502, 0.4503, 0.4502, 0.4499], copy_paste: 44.63,44.87,44.91,44.96,44.99,44.99,45.01,45.02,45.03,45.02,44.99 +2023-03-06 03:38:28,001 - mmseg - INFO - Swap parameters (before train) before iter [64001] +2023-03-06 03:38:38,487 - mmseg - INFO - Iter [64050/160000] lr: 1.875e-05, eta: 6:38:22, time: 13.680, data_time: 13.479, memory: 52540, decode.loss_ce: 0.0394, decode.acc_seg: 89.0591, decode.kl_loss: 0.0648, loss: 0.1041 +2023-03-06 03:38:48,642 - mmseg - INFO - Iter [64100/160000] lr: 1.875e-05, eta: 6:38:06, time: 0.203, data_time: 0.008, memory: 52540, decode.loss_ce: 0.0392, decode.acc_seg: 89.0259, decode.kl_loss: 0.0657, loss: 0.1049 +2023-03-06 03:38:58,574 - mmseg - INFO - Iter [64150/160000] lr: 1.875e-05, eta: 6:37:50, time: 0.199, data_time: 0.007, memory: 52540, decode.loss_ce: 0.0373, decode.acc_seg: 89.5633, decode.kl_loss: 0.0669, loss: 0.1041 +2023-03-06 03:39:08,722 - mmseg - INFO - Iter [64200/160000] lr: 1.875e-05, eta: 6:37:34, time: 0.203, data_time: 0.008, memory: 52540, decode.loss_ce: 0.0370, decode.acc_seg: 89.6836, decode.kl_loss: 0.0633, loss: 0.1004 +2023-03-06 03:39:19,068 - mmseg - INFO - Iter [64250/160000] lr: 1.875e-05, eta: 6:37:18, time: 0.207, data_time: 0.008, memory: 52540, decode.loss_ce: 0.0374, decode.acc_seg: 89.7234, decode.kl_loss: 0.0637, loss: 0.1011 +2023-03-06 03:39:29,263 - mmseg - INFO - Iter [64300/160000] lr: 1.875e-05, eta: 6:37:03, time: 0.204, data_time: 0.007, memory: 52540, decode.loss_ce: 0.0364, decode.acc_seg: 89.8155, decode.kl_loss: 0.0689, loss: 0.1053 +2023-03-06 03:39:39,158 - mmseg - INFO - Iter [64350/160000] lr: 1.875e-05, eta: 6:36:46, time: 0.198, data_time: 0.007, memory: 52540, decode.loss_ce: 0.0387, decode.acc_seg: 89.2297, decode.kl_loss: 0.0692, loss: 0.1079 +2023-03-06 03:39:51,539 - mmseg - INFO - Iter [64400/160000] lr: 1.875e-05, eta: 6:36:34, time: 0.248, data_time: 0.054, memory: 52540, decode.loss_ce: 0.0393, decode.acc_seg: 89.2124, decode.kl_loss: 0.0721, loss: 0.1114 +2023-03-06 03:40:01,876 - mmseg - INFO - Iter [64450/160000] lr: 1.875e-05, eta: 6:36:18, time: 0.206, data_time: 0.007, memory: 52540, decode.loss_ce: 0.0386, decode.acc_seg: 89.3255, decode.kl_loss: 0.0656, loss: 0.1042 +2023-03-06 03:40:12,125 - mmseg - INFO - Iter [64500/160000] lr: 1.875e-05, eta: 6:36:02, time: 0.205, data_time: 0.007, memory: 52540, decode.loss_ce: 0.0370, decode.acc_seg: 89.6976, decode.kl_loss: 0.0677, loss: 0.1046 +2023-03-06 03:40:22,070 - mmseg - INFO - Iter [64550/160000] lr: 1.875e-05, eta: 6:35:46, time: 0.199, data_time: 0.007, memory: 52540, decode.loss_ce: 0.0374, decode.acc_seg: 89.4140, decode.kl_loss: 0.0642, loss: 0.1017 +2023-03-06 03:40:32,258 - mmseg - INFO - Iter [64600/160000] lr: 1.875e-05, eta: 6:35:31, time: 0.204, data_time: 0.007, memory: 52540, decode.loss_ce: 0.0385, decode.acc_seg: 89.4088, decode.kl_loss: 0.0635, loss: 0.1020 +2023-03-06 03:40:42,460 - mmseg - INFO - Iter [64650/160000] lr: 1.875e-05, eta: 6:35:15, time: 0.204, data_time: 0.007, memory: 52540, decode.loss_ce: 0.0358, decode.acc_seg: 90.0708, decode.kl_loss: 0.0646, loss: 0.1004 +2023-03-06 03:40:52,321 - mmseg - INFO - Iter [64700/160000] lr: 1.875e-05, eta: 6:34:59, time: 0.197, data_time: 0.007, memory: 52540, decode.loss_ce: 0.0369, decode.acc_seg: 89.6804, decode.kl_loss: 0.0636, loss: 0.1005 +2023-03-06 03:41:02,409 - mmseg - INFO - Iter [64750/160000] lr: 1.875e-05, eta: 6:34:43, time: 0.202, data_time: 0.007, memory: 52540, decode.loss_ce: 0.0379, decode.acc_seg: 89.4599, decode.kl_loss: 0.0613, loss: 0.0992 +2023-03-06 03:41:12,485 - mmseg - INFO - Iter [64800/160000] lr: 1.875e-05, eta: 6:34:27, time: 0.202, data_time: 0.007, memory: 52540, decode.loss_ce: 0.0381, decode.acc_seg: 89.4561, decode.kl_loss: 0.0651, loss: 0.1033 +2023-03-06 03:41:22,759 - mmseg - INFO - Iter [64850/160000] lr: 1.875e-05, eta: 6:34:11, time: 0.205, data_time: 0.008, memory: 52540, decode.loss_ce: 0.0395, decode.acc_seg: 89.1354, decode.kl_loss: 0.0595, loss: 0.0990 +2023-03-06 03:41:32,713 - mmseg - INFO - Iter [64900/160000] lr: 1.875e-05, eta: 6:33:55, time: 0.199, data_time: 0.007, memory: 52540, decode.loss_ce: 0.0371, decode.acc_seg: 89.6325, decode.kl_loss: 0.0580, loss: 0.0950 +2023-03-06 03:41:42,996 - mmseg - INFO - Iter [64950/160000] lr: 1.875e-05, eta: 6:33:40, time: 0.205, data_time: 0.007, memory: 52540, decode.loss_ce: 0.0384, decode.acc_seg: 89.3839, decode.kl_loss: 0.0594, loss: 0.0978 +2023-03-06 03:41:55,665 - mmseg - INFO - Exp name: ablation_segformer_mit_b2_segformer_head_unet_fc_small_multi_step_ade_pretrained_freeze_embed_160k_ade20k151_finetune_ema_ce.py +2023-03-06 03:41:55,665 - mmseg - INFO - Iter [65000/160000] lr: 1.875e-05, eta: 6:33:28, time: 0.254, data_time: 0.056, memory: 52540, decode.loss_ce: 0.0405, decode.acc_seg: 88.8682, decode.kl_loss: 0.0604, loss: 0.1010 +2023-03-06 03:42:05,668 - mmseg - INFO - Iter [65050/160000] lr: 1.875e-05, eta: 6:33:12, time: 0.200, data_time: 0.007, memory: 52540, decode.loss_ce: 0.0376, decode.acc_seg: 89.5585, decode.kl_loss: 0.0592, loss: 0.0968 +2023-03-06 03:42:15,698 - mmseg - INFO - Iter [65100/160000] lr: 1.875e-05, eta: 6:32:56, time: 0.201, data_time: 0.007, memory: 52540, decode.loss_ce: 0.0403, decode.acc_seg: 88.7095, decode.kl_loss: 0.0627, loss: 0.1030 +2023-03-06 03:42:25,683 - mmseg - INFO - Iter [65150/160000] lr: 1.875e-05, eta: 6:32:40, time: 0.200, data_time: 0.007, memory: 52540, decode.loss_ce: 0.0451, decode.acc_seg: 87.4971, decode.kl_loss: 0.0696, loss: 0.1147 +2023-03-06 03:42:35,961 - mmseg - INFO - Iter [65200/160000] lr: 1.875e-05, eta: 6:32:24, time: 0.206, data_time: 0.007, memory: 52540, decode.loss_ce: 0.0385, decode.acc_seg: 89.2820, decode.kl_loss: 0.0625, loss: 0.1010 +2023-03-06 03:42:45,892 - mmseg - INFO - Iter [65250/160000] lr: 1.875e-05, eta: 6:32:08, time: 0.199, data_time: 0.007, memory: 52540, decode.loss_ce: 0.0378, decode.acc_seg: 89.5179, decode.kl_loss: 0.0592, loss: 0.0970 +2023-03-06 03:42:55,891 - mmseg - INFO - Iter [65300/160000] lr: 1.875e-05, eta: 6:31:52, time: 0.200, data_time: 0.007, memory: 52540, decode.loss_ce: 0.0393, decode.acc_seg: 89.1899, decode.kl_loss: 0.0597, loss: 0.0990 +2023-03-06 03:43:05,901 - mmseg - INFO - Iter [65350/160000] lr: 1.875e-05, eta: 6:31:36, time: 0.200, data_time: 0.007, memory: 52540, decode.loss_ce: 0.0378, decode.acc_seg: 89.5245, decode.kl_loss: 0.0622, loss: 0.0999 +2023-03-06 03:43:15,828 - mmseg - INFO - Iter [65400/160000] lr: 1.875e-05, eta: 6:31:20, time: 0.199, data_time: 0.007, memory: 52540, decode.loss_ce: 0.0375, decode.acc_seg: 89.6066, decode.kl_loss: 0.0633, loss: 0.1008 +2023-03-06 03:43:25,876 - mmseg - INFO - Iter [65450/160000] lr: 1.875e-05, eta: 6:31:04, time: 0.201, data_time: 0.008, memory: 52540, decode.loss_ce: 0.0383, decode.acc_seg: 89.3008, decode.kl_loss: 0.0676, loss: 0.1058 +2023-03-06 03:43:35,946 - mmseg - INFO - Iter [65500/160000] lr: 1.875e-05, eta: 6:30:49, time: 0.201, data_time: 0.007, memory: 52540, decode.loss_ce: 0.0402, decode.acc_seg: 88.8063, decode.kl_loss: 0.0697, loss: 0.1099 +2023-03-06 03:43:46,010 - mmseg - INFO - Iter [65550/160000] lr: 1.875e-05, eta: 6:30:33, time: 0.201, data_time: 0.007, memory: 52540, decode.loss_ce: 0.0405, decode.acc_seg: 88.7595, decode.kl_loss: 0.0685, loss: 0.1090 +2023-03-06 03:43:56,405 - mmseg - INFO - Iter [65600/160000] lr: 1.875e-05, eta: 6:30:18, time: 0.208, data_time: 0.008, memory: 52540, decode.loss_ce: 0.0374, decode.acc_seg: 89.4999, decode.kl_loss: 0.0636, loss: 0.1010 +2023-03-06 03:44:09,534 - mmseg - INFO - Iter [65650/160000] lr: 1.875e-05, eta: 6:30:06, time: 0.262, data_time: 0.056, memory: 52540, decode.loss_ce: 0.0383, decode.acc_seg: 89.3978, decode.kl_loss: 0.0642, loss: 0.1025 +2023-03-06 03:44:19,885 - mmseg - INFO - Iter [65700/160000] lr: 1.875e-05, eta: 6:29:51, time: 0.207, data_time: 0.008, memory: 52540, decode.loss_ce: 0.0383, decode.acc_seg: 89.4358, decode.kl_loss: 0.0628, loss: 0.1010 +2023-03-06 03:44:29,958 - mmseg - INFO - Iter [65750/160000] lr: 1.875e-05, eta: 6:29:35, time: 0.201, data_time: 0.007, memory: 52540, decode.loss_ce: 0.0362, decode.acc_seg: 90.0068, decode.kl_loss: 0.0626, loss: 0.0987 +2023-03-06 03:44:39,983 - mmseg - INFO - Iter [65800/160000] lr: 1.875e-05, eta: 6:29:19, time: 0.201, data_time: 0.007, memory: 52540, decode.loss_ce: 0.0383, decode.acc_seg: 89.3662, decode.kl_loss: 0.0636, loss: 0.1019 +2023-03-06 03:44:50,186 - mmseg - INFO - Iter [65850/160000] lr: 1.875e-05, eta: 6:29:04, time: 0.204, data_time: 0.007, memory: 52540, decode.loss_ce: 0.0375, decode.acc_seg: 89.3655, decode.kl_loss: 0.0637, loss: 0.1012 +2023-03-06 03:45:00,249 - mmseg - INFO - Iter [65900/160000] lr: 1.875e-05, eta: 6:28:48, time: 0.201, data_time: 0.007, memory: 52540, decode.loss_ce: 0.0363, decode.acc_seg: 89.8245, decode.kl_loss: 0.0594, loss: 0.0957 +2023-03-06 03:45:10,186 - mmseg - INFO - Iter [65950/160000] lr: 1.875e-05, eta: 6:28:32, time: 0.199, data_time: 0.007, memory: 52540, decode.loss_ce: 0.0368, decode.acc_seg: 89.6549, decode.kl_loss: 0.0578, loss: 0.0946 +2023-03-06 03:45:20,130 - mmseg - INFO - Exp name: ablation_segformer_mit_b2_segformer_head_unet_fc_small_multi_step_ade_pretrained_freeze_embed_160k_ade20k151_finetune_ema_ce.py +2023-03-06 03:45:20,130 - mmseg - INFO - Iter [66000/160000] lr: 1.875e-05, eta: 6:28:16, time: 0.199, data_time: 0.007, memory: 52540, decode.loss_ce: 0.0368, decode.acc_seg: 89.6800, decode.kl_loss: 0.0571, loss: 0.0939 +2023-03-06 03:45:30,439 - mmseg - INFO - Iter [66050/160000] lr: 1.875e-05, eta: 6:28:01, time: 0.206, data_time: 0.008, memory: 52540, decode.loss_ce: 0.0391, decode.acc_seg: 89.1633, decode.kl_loss: 0.0621, loss: 0.1012 +2023-03-06 03:45:40,516 - mmseg - INFO - Iter [66100/160000] lr: 1.875e-05, eta: 6:27:45, time: 0.202, data_time: 0.007, memory: 52540, decode.loss_ce: 0.0380, decode.acc_seg: 89.3648, decode.kl_loss: 0.0584, loss: 0.0964 +2023-03-06 03:45:50,628 - mmseg - INFO - Iter [66150/160000] lr: 1.875e-05, eta: 6:27:30, time: 0.202, data_time: 0.007, memory: 52540, decode.loss_ce: 0.0385, decode.acc_seg: 89.1624, decode.kl_loss: 0.0601, loss: 0.0985 +2023-03-06 03:46:01,021 - mmseg - INFO - Iter [66200/160000] lr: 1.875e-05, eta: 6:27:14, time: 0.208, data_time: 0.007, memory: 52540, decode.loss_ce: 0.0398, decode.acc_seg: 88.8163, decode.kl_loss: 0.0603, loss: 0.1000 +2023-03-06 03:46:11,042 - mmseg - INFO - Iter [66250/160000] lr: 1.875e-05, eta: 6:26:59, time: 0.200, data_time: 0.008, memory: 52540, decode.loss_ce: 0.0355, decode.acc_seg: 89.9194, decode.kl_loss: 0.0602, loss: 0.0957 +2023-03-06 03:46:23,777 - mmseg - INFO - Iter [66300/160000] lr: 1.875e-05, eta: 6:26:47, time: 0.255, data_time: 0.055, memory: 52540, decode.loss_ce: 0.0364, decode.acc_seg: 89.8814, decode.kl_loss: 0.0614, loss: 0.0977 +2023-03-06 03:46:33,886 - mmseg - INFO - Iter [66350/160000] lr: 1.875e-05, eta: 6:26:31, time: 0.202, data_time: 0.007, memory: 52540, decode.loss_ce: 0.0366, decode.acc_seg: 89.6095, decode.kl_loss: 0.0610, loss: 0.0976 +2023-03-06 03:46:44,027 - mmseg - INFO - Iter [66400/160000] lr: 1.875e-05, eta: 6:26:16, time: 0.203, data_time: 0.007, memory: 52540, decode.loss_ce: 0.0374, decode.acc_seg: 89.5228, decode.kl_loss: 0.0607, loss: 0.0981 +2023-03-06 03:46:53,949 - mmseg - INFO - Iter [66450/160000] lr: 1.875e-05, eta: 6:26:00, time: 0.198, data_time: 0.007, memory: 52540, decode.loss_ce: 0.0380, decode.acc_seg: 89.5282, decode.kl_loss: 0.0597, loss: 0.0977 +2023-03-06 03:47:03,901 - mmseg - INFO - Iter [66500/160000] lr: 1.875e-05, eta: 6:25:44, time: 0.199, data_time: 0.008, memory: 52540, decode.loss_ce: 0.0380, decode.acc_seg: 89.3433, decode.kl_loss: 0.0605, loss: 0.0984 +2023-03-06 03:47:13,882 - mmseg - INFO - Iter [66550/160000] lr: 1.875e-05, eta: 6:25:28, time: 0.199, data_time: 0.007, memory: 52540, decode.loss_ce: 0.0366, decode.acc_seg: 89.6680, decode.kl_loss: 0.0586, loss: 0.0951 +2023-03-06 03:47:24,241 - mmseg - INFO - Iter [66600/160000] lr: 1.875e-05, eta: 6:25:13, time: 0.207, data_time: 0.008, memory: 52540, decode.loss_ce: 0.0369, decode.acc_seg: 89.7336, decode.kl_loss: 0.0589, loss: 0.0958 +2023-03-06 03:47:34,344 - mmseg - INFO - Iter [66650/160000] lr: 1.875e-05, eta: 6:24:58, time: 0.202, data_time: 0.007, memory: 52540, decode.loss_ce: 0.0368, decode.acc_seg: 89.5926, decode.kl_loss: 0.0606, loss: 0.0974 +2023-03-06 03:47:44,300 - mmseg - INFO - Iter [66700/160000] lr: 1.875e-05, eta: 6:24:42, time: 0.199, data_time: 0.007, memory: 52540, decode.loss_ce: 0.0371, decode.acc_seg: 89.4642, decode.kl_loss: 0.0609, loss: 0.0980 +2023-03-06 03:47:54,296 - mmseg - INFO - Iter [66750/160000] lr: 1.875e-05, eta: 6:24:26, time: 0.200, data_time: 0.007, memory: 52540, decode.loss_ce: 0.0395, decode.acc_seg: 88.9651, decode.kl_loss: 0.0605, loss: 0.1000 +2023-03-06 03:48:04,522 - mmseg - INFO - Iter [66800/160000] lr: 1.875e-05, eta: 6:24:11, time: 0.205, data_time: 0.007, memory: 52540, decode.loss_ce: 0.0378, decode.acc_seg: 89.2990, decode.kl_loss: 0.0641, loss: 0.1020 +2023-03-06 03:48:14,671 - mmseg - INFO - Iter [66850/160000] lr: 1.875e-05, eta: 6:23:55, time: 0.203, data_time: 0.007, memory: 52540, decode.loss_ce: 0.0367, decode.acc_seg: 89.6265, decode.kl_loss: 0.0642, loss: 0.1010 +2023-03-06 03:48:27,262 - mmseg - INFO - Iter [66900/160000] lr: 1.875e-05, eta: 6:23:43, time: 0.252, data_time: 0.055, memory: 52540, decode.loss_ce: 0.0385, decode.acc_seg: 89.4563, decode.kl_loss: 0.0601, loss: 0.0986 +2023-03-06 03:48:37,776 - mmseg - INFO - Iter [66950/160000] lr: 1.875e-05, eta: 6:23:28, time: 0.210, data_time: 0.008, memory: 52540, decode.loss_ce: 0.0376, decode.acc_seg: 89.4050, decode.kl_loss: 0.0648, loss: 0.1024 +2023-03-06 03:48:47,952 - mmseg - INFO - Exp name: ablation_segformer_mit_b2_segformer_head_unet_fc_small_multi_step_ade_pretrained_freeze_embed_160k_ade20k151_finetune_ema_ce.py +2023-03-06 03:48:47,952 - mmseg - INFO - Iter [67000/160000] lr: 1.875e-05, eta: 6:23:13, time: 0.203, data_time: 0.007, memory: 52540, decode.loss_ce: 0.0383, decode.acc_seg: 89.4666, decode.kl_loss: 0.0633, loss: 0.1016 +2023-03-06 03:48:58,003 - mmseg - INFO - Iter [67050/160000] lr: 1.875e-05, eta: 6:22:57, time: 0.201, data_time: 0.008, memory: 52540, decode.loss_ce: 0.0391, decode.acc_seg: 89.2826, decode.kl_loss: 0.0648, loss: 0.1039 +2023-03-06 03:49:07,904 - mmseg - INFO - Iter [67100/160000] lr: 1.875e-05, eta: 6:22:42, time: 0.198, data_time: 0.007, memory: 52540, decode.loss_ce: 0.0376, decode.acc_seg: 89.1926, decode.kl_loss: 0.0681, loss: 0.1057 +2023-03-06 03:49:18,262 - mmseg - INFO - Iter [67150/160000] lr: 1.875e-05, eta: 6:22:26, time: 0.207, data_time: 0.007, memory: 52540, decode.loss_ce: 0.0382, decode.acc_seg: 89.2628, decode.kl_loss: 0.0682, loss: 0.1063 +2023-03-06 03:49:28,260 - mmseg - INFO - Iter [67200/160000] lr: 1.875e-05, eta: 6:22:11, time: 0.200, data_time: 0.007, memory: 52540, decode.loss_ce: 0.0421, decode.acc_seg: 88.3496, decode.kl_loss: 0.0724, loss: 0.1145 +2023-03-06 03:49:38,234 - mmseg - INFO - Iter [67250/160000] lr: 1.875e-05, eta: 6:21:55, time: 0.199, data_time: 0.007, memory: 52540, decode.loss_ce: 0.0379, decode.acc_seg: 89.3651, decode.kl_loss: 0.0664, loss: 0.1044 +2023-03-06 03:49:48,484 - mmseg - INFO - Iter [67300/160000] lr: 1.875e-05, eta: 6:21:40, time: 0.205, data_time: 0.007, memory: 52540, decode.loss_ce: 0.0382, decode.acc_seg: 89.3794, decode.kl_loss: 0.0629, loss: 0.1011 +2023-03-06 03:49:58,636 - mmseg - INFO - Iter [67350/160000] lr: 1.875e-05, eta: 6:21:25, time: 0.203, data_time: 0.007, memory: 52540, decode.loss_ce: 0.0379, decode.acc_seg: 89.2780, decode.kl_loss: 0.0689, loss: 0.1068 +2023-03-06 03:50:08,586 - mmseg - INFO - Iter [67400/160000] lr: 1.875e-05, eta: 6:21:09, time: 0.199, data_time: 0.007, memory: 52540, decode.loss_ce: 0.0380, decode.acc_seg: 89.2651, decode.kl_loss: 0.0697, loss: 0.1077 +2023-03-06 03:50:18,520 - mmseg - INFO - Iter [67450/160000] lr: 1.875e-05, eta: 6:20:53, time: 0.199, data_time: 0.007, memory: 52540, decode.loss_ce: 0.0385, decode.acc_seg: 89.0973, decode.kl_loss: 0.0689, loss: 0.1073 +2023-03-06 03:50:28,576 - mmseg - INFO - Iter [67500/160000] lr: 1.875e-05, eta: 6:20:38, time: 0.201, data_time: 0.008, memory: 52540, decode.loss_ce: 0.0394, decode.acc_seg: 89.0586, decode.kl_loss: 0.0674, loss: 0.1068 +2023-03-06 03:50:41,127 - mmseg - INFO - Iter [67550/160000] lr: 1.875e-05, eta: 6:20:26, time: 0.251, data_time: 0.056, memory: 52540, decode.loss_ce: 0.0371, decode.acc_seg: 89.5389, decode.kl_loss: 0.0669, loss: 0.1040 +2023-03-06 03:50:51,126 - mmseg - INFO - Iter [67600/160000] lr: 1.875e-05, eta: 6:20:10, time: 0.200, data_time: 0.007, memory: 52540, decode.loss_ce: 0.0380, decode.acc_seg: 89.3027, decode.kl_loss: 0.0692, loss: 0.1072 +2023-03-06 03:51:01,087 - mmseg - INFO - Iter [67650/160000] lr: 1.875e-05, eta: 6:19:55, time: 0.199, data_time: 0.007, memory: 52540, decode.loss_ce: 0.0386, decode.acc_seg: 89.2509, decode.kl_loss: 0.0673, loss: 0.1059 +2023-03-06 03:51:11,245 - mmseg - INFO - Iter [67700/160000] lr: 1.875e-05, eta: 6:19:39, time: 0.203, data_time: 0.007, memory: 52540, decode.loss_ce: 0.0373, decode.acc_seg: 89.6443, decode.kl_loss: 0.0661, loss: 0.1035 +2023-03-06 03:51:21,175 - mmseg - INFO - Iter [67750/160000] lr: 1.875e-05, eta: 6:19:24, time: 0.199, data_time: 0.007, memory: 52540, decode.loss_ce: 0.0378, decode.acc_seg: 89.4189, decode.kl_loss: 0.0672, loss: 0.1049 +2023-03-06 03:51:31,120 - mmseg - INFO - Iter [67800/160000] lr: 1.875e-05, eta: 6:19:08, time: 0.199, data_time: 0.007, memory: 52540, decode.loss_ce: 0.0377, decode.acc_seg: 89.3342, decode.kl_loss: 0.0623, loss: 0.1000 +2023-03-06 03:51:41,134 - mmseg - INFO - Iter [67850/160000] lr: 1.875e-05, eta: 6:18:53, time: 0.200, data_time: 0.008, memory: 52540, decode.loss_ce: 0.0393, decode.acc_seg: 89.0516, decode.kl_loss: 0.0649, loss: 0.1042 +2023-03-06 03:51:51,088 - mmseg - INFO - Iter [67900/160000] lr: 1.875e-05, eta: 6:18:37, time: 0.199, data_time: 0.007, memory: 52540, decode.loss_ce: 0.0388, decode.acc_seg: 89.3232, decode.kl_loss: 0.0612, loss: 0.1000 +2023-03-06 03:52:01,257 - mmseg - INFO - Iter [67950/160000] lr: 1.875e-05, eta: 6:18:22, time: 0.203, data_time: 0.007, memory: 52540, decode.loss_ce: 0.0395, decode.acc_seg: 88.9581, decode.kl_loss: 0.0647, loss: 0.1042 +2023-03-06 03:52:11,549 - mmseg - INFO - Exp name: ablation_segformer_mit_b2_segformer_head_unet_fc_small_multi_step_ade_pretrained_freeze_embed_160k_ade20k151_finetune_ema_ce.py +2023-03-06 03:52:11,549 - mmseg - INFO - Iter [68000/160000] lr: 1.875e-05, eta: 6:18:07, time: 0.206, data_time: 0.007, memory: 52540, decode.loss_ce: 0.0403, decode.acc_seg: 89.0338, decode.kl_loss: 0.0654, loss: 0.1057 +2023-03-06 03:52:21,584 - mmseg - INFO - Iter [68050/160000] lr: 1.875e-05, eta: 6:17:51, time: 0.201, data_time: 0.007, memory: 52540, decode.loss_ce: 0.0377, decode.acc_seg: 89.4776, decode.kl_loss: 0.0641, loss: 0.1019 +2023-03-06 03:52:31,808 - mmseg - INFO - Iter [68100/160000] lr: 1.875e-05, eta: 6:17:36, time: 0.204, data_time: 0.007, memory: 52540, decode.loss_ce: 0.0387, decode.acc_seg: 88.9879, decode.kl_loss: 0.0672, loss: 0.1059 +2023-03-06 03:52:44,394 - mmseg - INFO - Iter [68150/160000] lr: 1.875e-05, eta: 6:17:24, time: 0.252, data_time: 0.056, memory: 52540, decode.loss_ce: 0.0410, decode.acc_seg: 88.7059, decode.kl_loss: 0.0710, loss: 0.1120 +2023-03-06 03:52:54,512 - mmseg - INFO - Iter [68200/160000] lr: 1.875e-05, eta: 6:17:09, time: 0.202, data_time: 0.007, memory: 52540, decode.loss_ce: 0.0416, decode.acc_seg: 88.4467, decode.kl_loss: 0.0727, loss: 0.1143 +2023-03-06 03:53:04,490 - mmseg - INFO - Iter [68250/160000] lr: 1.875e-05, eta: 6:16:53, time: 0.200, data_time: 0.007, memory: 52540, decode.loss_ce: 0.0387, decode.acc_seg: 89.2834, decode.kl_loss: 0.0699, loss: 0.1086 +2023-03-06 03:53:14,534 - mmseg - INFO - Iter [68300/160000] lr: 1.875e-05, eta: 6:16:38, time: 0.201, data_time: 0.007, memory: 52540, decode.loss_ce: 0.0395, decode.acc_seg: 88.9619, decode.kl_loss: 0.0685, loss: 0.1080 +2023-03-06 03:53:24,481 - mmseg - INFO - Iter [68350/160000] lr: 1.875e-05, eta: 6:16:22, time: 0.199, data_time: 0.007, memory: 52540, decode.loss_ce: 0.0402, decode.acc_seg: 88.8338, decode.kl_loss: 0.0709, loss: 0.1111 +2023-03-06 03:53:34,531 - mmseg - INFO - Iter [68400/160000] lr: 1.875e-05, eta: 6:16:07, time: 0.201, data_time: 0.007, memory: 52540, decode.loss_ce: 0.0384, decode.acc_seg: 89.1271, decode.kl_loss: 0.0694, loss: 0.1078 +2023-03-06 03:53:44,582 - mmseg - INFO - Iter [68450/160000] lr: 1.875e-05, eta: 6:15:52, time: 0.201, data_time: 0.007, memory: 52540, decode.loss_ce: 0.0385, decode.acc_seg: 89.2912, decode.kl_loss: 0.0641, loss: 0.1026 +2023-03-06 03:53:54,833 - mmseg - INFO - Iter [68500/160000] lr: 1.875e-05, eta: 6:15:37, time: 0.205, data_time: 0.007, memory: 52540, decode.loss_ce: 0.0402, decode.acc_seg: 88.7599, decode.kl_loss: 0.0666, loss: 0.1068 +2023-03-06 03:54:04,853 - mmseg - INFO - Iter [68550/160000] lr: 1.875e-05, eta: 6:15:21, time: 0.200, data_time: 0.007, memory: 52540, decode.loss_ce: 0.0406, decode.acc_seg: 88.6129, decode.kl_loss: 0.0667, loss: 0.1073 +2023-03-06 03:54:15,043 - mmseg - INFO - Iter [68600/160000] lr: 1.875e-05, eta: 6:15:06, time: 0.204, data_time: 0.007, memory: 52540, decode.loss_ce: 0.0439, decode.acc_seg: 88.0448, decode.kl_loss: 0.0693, loss: 0.1132 +2023-03-06 03:54:25,149 - mmseg - INFO - Iter [68650/160000] lr: 1.875e-05, eta: 6:14:51, time: 0.202, data_time: 0.008, memory: 52540, decode.loss_ce: 0.0422, decode.acc_seg: 88.3466, decode.kl_loss: 0.0710, loss: 0.1132 +2023-03-06 03:54:35,082 - mmseg - INFO - Iter [68700/160000] lr: 1.875e-05, eta: 6:14:35, time: 0.199, data_time: 0.007, memory: 52540, decode.loss_ce: 0.0539, decode.acc_seg: 85.2708, decode.kl_loss: 0.0866, loss: 0.1405 +2023-03-06 03:54:45,073 - mmseg - INFO - Iter [68750/160000] lr: 1.875e-05, eta: 6:14:20, time: 0.200, data_time: 0.007, memory: 52540, decode.loss_ce: 0.0454, decode.acc_seg: 87.6358, decode.kl_loss: 0.0799, loss: 0.1253 +2023-03-06 03:54:57,703 - mmseg - INFO - Iter [68800/160000] lr: 1.875e-05, eta: 6:14:08, time: 0.253, data_time: 0.054, memory: 52540, decode.loss_ce: 0.0424, decode.acc_seg: 88.5508, decode.kl_loss: 0.0759, loss: 0.1183 +2023-03-06 03:55:07,701 - mmseg - INFO - Iter [68850/160000] lr: 1.875e-05, eta: 6:13:53, time: 0.200, data_time: 0.007, memory: 52540, decode.loss_ce: 0.0433, decode.acc_seg: 88.1671, decode.kl_loss: 0.0726, loss: 0.1159 +2023-03-06 03:55:17,719 - mmseg - INFO - Iter [68900/160000] lr: 1.875e-05, eta: 6:13:37, time: 0.200, data_time: 0.007, memory: 52540, decode.loss_ce: 0.0437, decode.acc_seg: 88.1518, decode.kl_loss: 0.0723, loss: 0.1160 +2023-03-06 03:55:27,734 - mmseg - INFO - Iter [68950/160000] lr: 1.875e-05, eta: 6:13:22, time: 0.200, data_time: 0.007, memory: 52540, decode.loss_ce: 0.0397, decode.acc_seg: 89.1174, decode.kl_loss: 0.0690, loss: 0.1087 +2023-03-06 03:55:37,735 - mmseg - INFO - Exp name: ablation_segformer_mit_b2_segformer_head_unet_fc_small_multi_step_ade_pretrained_freeze_embed_160k_ade20k151_finetune_ema_ce.py +2023-03-06 03:55:37,735 - mmseg - INFO - Iter [69000/160000] lr: 1.875e-05, eta: 6:13:07, time: 0.200, data_time: 0.007, memory: 52540, decode.loss_ce: 0.0405, decode.acc_seg: 88.6299, decode.kl_loss: 0.0765, loss: 0.1170 +2023-03-06 03:55:48,013 - mmseg - INFO - Iter [69050/160000] lr: 1.875e-05, eta: 6:12:52, time: 0.206, data_time: 0.007, memory: 52540, decode.loss_ce: 0.0452, decode.acc_seg: 87.5942, decode.kl_loss: 0.0745, loss: 0.1197 +2023-03-06 03:55:57,984 - mmseg - INFO - Iter [69100/160000] lr: 1.875e-05, eta: 6:12:36, time: 0.199, data_time: 0.007, memory: 52540, decode.loss_ce: 0.0459, decode.acc_seg: 87.5676, decode.kl_loss: 0.0791, loss: 0.1250 +2023-03-06 03:56:08,049 - mmseg - INFO - Iter [69150/160000] lr: 1.875e-05, eta: 6:12:21, time: 0.201, data_time: 0.007, memory: 52540, decode.loss_ce: 0.0487, decode.acc_seg: 87.2728, decode.kl_loss: 0.0744, loss: 0.1232 +2023-03-06 03:56:18,126 - mmseg - INFO - Iter [69200/160000] lr: 1.875e-05, eta: 6:12:06, time: 0.202, data_time: 0.007, memory: 52540, decode.loss_ce: 0.0388, decode.acc_seg: 89.2143, decode.kl_loss: 0.0703, loss: 0.1090 +2023-03-06 03:56:28,153 - mmseg - INFO - Iter [69250/160000] lr: 1.875e-05, eta: 6:11:51, time: 0.201, data_time: 0.007, memory: 52540, decode.loss_ce: 0.0421, decode.acc_seg: 88.4705, decode.kl_loss: 0.0717, loss: 0.1138 +2023-03-06 03:56:38,096 - mmseg - INFO - Iter [69300/160000] lr: 1.875e-05, eta: 6:11:35, time: 0.199, data_time: 0.007, memory: 52540, decode.loss_ce: 0.0418, decode.acc_seg: 88.4907, decode.kl_loss: 0.0707, loss: 0.1125 +2023-03-06 03:56:48,188 - mmseg - INFO - Iter [69350/160000] lr: 1.875e-05, eta: 6:11:20, time: 0.202, data_time: 0.007, memory: 52540, decode.loss_ce: 0.0403, decode.acc_seg: 88.8535, decode.kl_loss: 0.0708, loss: 0.1111 +2023-03-06 03:56:58,315 - mmseg - INFO - Iter [69400/160000] lr: 1.875e-05, eta: 6:11:05, time: 0.203, data_time: 0.007, memory: 52540, decode.loss_ce: 0.0425, decode.acc_seg: 88.2921, decode.kl_loss: 0.0660, loss: 0.1085 +2023-03-06 03:57:10,893 - mmseg - INFO - Iter [69450/160000] lr: 1.875e-05, eta: 6:10:53, time: 0.252, data_time: 0.056, memory: 52540, decode.loss_ce: 0.0399, decode.acc_seg: 88.8709, decode.kl_loss: 0.0682, loss: 0.1080 +2023-03-06 03:57:20,898 - mmseg - INFO - Iter [69500/160000] lr: 1.875e-05, eta: 6:10:38, time: 0.200, data_time: 0.007, memory: 52540, decode.loss_ce: 0.0389, decode.acc_seg: 89.1794, decode.kl_loss: 0.0708, loss: 0.1096 +2023-03-06 03:57:31,080 - mmseg - INFO - Iter [69550/160000] lr: 1.875e-05, eta: 6:10:23, time: 0.204, data_time: 0.007, memory: 52540, decode.loss_ce: 0.0425, decode.acc_seg: 88.3989, decode.kl_loss: 0.0681, loss: 0.1105 +2023-03-06 03:57:41,407 - mmseg - INFO - Iter [69600/160000] lr: 1.875e-05, eta: 6:10:08, time: 0.207, data_time: 0.007, memory: 52540, decode.loss_ce: 0.0381, decode.acc_seg: 89.3284, decode.kl_loss: 0.0700, loss: 0.1081 +2023-03-06 03:57:51,669 - mmseg - INFO - Iter [69650/160000] lr: 1.875e-05, eta: 6:09:53, time: 0.205, data_time: 0.007, memory: 52540, decode.loss_ce: 0.0406, decode.acc_seg: 88.8010, decode.kl_loss: 0.0684, loss: 0.1090 +2023-03-06 03:58:01,636 - mmseg - INFO - Iter [69700/160000] lr: 1.875e-05, eta: 6:09:38, time: 0.199, data_time: 0.007, memory: 52540, decode.loss_ce: 0.0398, decode.acc_seg: 89.0971, decode.kl_loss: 0.0705, loss: 0.1103 +2023-03-06 03:58:11,657 - mmseg - INFO - Iter [69750/160000] lr: 1.875e-05, eta: 6:09:23, time: 0.200, data_time: 0.007, memory: 52540, decode.loss_ce: 0.0409, decode.acc_seg: 88.6279, decode.kl_loss: 0.0747, loss: 0.1156 +2023-03-06 03:58:21,631 - mmseg - INFO - Iter [69800/160000] lr: 1.875e-05, eta: 6:09:07, time: 0.199, data_time: 0.007, memory: 52540, decode.loss_ce: 0.0405, decode.acc_seg: 88.7507, decode.kl_loss: 0.0739, loss: 0.1144 +2023-03-06 03:58:31,623 - mmseg - INFO - Iter [69850/160000] lr: 1.875e-05, eta: 6:08:52, time: 0.200, data_time: 0.007, memory: 52540, decode.loss_ce: 0.0432, decode.acc_seg: 88.1267, decode.kl_loss: 0.0700, loss: 0.1132 +2023-03-06 03:58:41,660 - mmseg - INFO - Iter [69900/160000] lr: 1.875e-05, eta: 6:08:37, time: 0.201, data_time: 0.007, memory: 52540, decode.loss_ce: 0.0520, decode.acc_seg: 86.0014, decode.kl_loss: 0.0771, loss: 0.1291 +2023-03-06 03:58:51,726 - mmseg - INFO - Iter [69950/160000] lr: 1.875e-05, eta: 6:08:22, time: 0.201, data_time: 0.008, memory: 52540, decode.loss_ce: 0.0492, decode.acc_seg: 86.7179, decode.kl_loss: 0.0727, loss: 0.1219 +2023-03-06 03:59:01,701 - mmseg - INFO - Exp name: ablation_segformer_mit_b2_segformer_head_unet_fc_small_multi_step_ade_pretrained_freeze_embed_160k_ade20k151_finetune_ema_ce.py +2023-03-06 03:59:01,701 - mmseg - INFO - Iter [70000/160000] lr: 1.875e-05, eta: 6:08:07, time: 0.199, data_time: 0.007, memory: 52540, decode.loss_ce: 0.0419, decode.acc_seg: 88.4524, decode.kl_loss: 0.0714, loss: 0.1133 +2023-03-06 03:59:14,215 - mmseg - INFO - Iter [70050/160000] lr: 1.875e-05, eta: 6:07:55, time: 0.250, data_time: 0.057, memory: 52540, decode.loss_ce: 0.0413, decode.acc_seg: 88.6731, decode.kl_loss: 0.0743, loss: 0.1156 +2023-03-06 03:59:24,268 - mmseg - INFO - Iter [70100/160000] lr: 1.875e-05, eta: 6:07:40, time: 0.201, data_time: 0.007, memory: 52540, decode.loss_ce: 0.0423, decode.acc_seg: 88.2248, decode.kl_loss: 0.0698, loss: 0.1121 +2023-03-06 03:59:34,445 - mmseg - INFO - Iter [70150/160000] lr: 1.875e-05, eta: 6:07:25, time: 0.204, data_time: 0.008, memory: 52540, decode.loss_ce: 0.0429, decode.acc_seg: 88.3011, decode.kl_loss: 0.0696, loss: 0.1124 +2023-03-06 03:59:44,367 - mmseg - INFO - Iter [70200/160000] lr: 1.875e-05, eta: 6:07:09, time: 0.198, data_time: 0.007, memory: 52540, decode.loss_ce: 0.0447, decode.acc_seg: 87.7304, decode.kl_loss: 0.0809, loss: 0.1256 +2023-03-06 03:59:54,460 - mmseg - INFO - Iter [70250/160000] lr: 1.875e-05, eta: 6:06:54, time: 0.202, data_time: 0.007, memory: 52540, decode.loss_ce: 0.0436, decode.acc_seg: 88.1086, decode.kl_loss: 0.0783, loss: 0.1219 +2023-03-06 04:00:04,577 - mmseg - INFO - Iter [70300/160000] lr: 1.875e-05, eta: 6:06:39, time: 0.202, data_time: 0.008, memory: 52540, decode.loss_ce: 0.0415, decode.acc_seg: 88.7434, decode.kl_loss: 0.0751, loss: 0.1166 +2023-03-06 04:00:14,689 - mmseg - INFO - Iter [70350/160000] lr: 1.875e-05, eta: 6:06:24, time: 0.202, data_time: 0.007, memory: 52540, decode.loss_ce: 0.0463, decode.acc_seg: 87.4433, decode.kl_loss: 0.0733, loss: 0.1196 +2023-03-06 04:00:25,049 - mmseg - INFO - Iter [70400/160000] lr: 1.875e-05, eta: 6:06:10, time: 0.207, data_time: 0.007, memory: 52540, decode.loss_ce: 0.0460, decode.acc_seg: 87.4269, decode.kl_loss: 0.0754, loss: 0.1214 +2023-03-06 04:00:34,991 - mmseg - INFO - Iter [70450/160000] lr: 1.875e-05, eta: 6:05:54, time: 0.199, data_time: 0.008, memory: 52540, decode.loss_ce: 0.0425, decode.acc_seg: 88.1684, decode.kl_loss: 0.0704, loss: 0.1129 +2023-03-06 04:00:45,179 - mmseg - INFO - Iter [70500/160000] lr: 1.875e-05, eta: 6:05:40, time: 0.204, data_time: 0.008, memory: 52540, decode.loss_ce: 0.0461, decode.acc_seg: 87.3210, decode.kl_loss: 0.0716, loss: 0.1177 +2023-03-06 04:00:55,402 - mmseg - INFO - Iter [70550/160000] lr: 1.875e-05, eta: 6:05:25, time: 0.204, data_time: 0.007, memory: 52540, decode.loss_ce: 0.0427, decode.acc_seg: 88.0876, decode.kl_loss: 0.0699, loss: 0.1127 +2023-03-06 04:01:05,641 - mmseg - INFO - Iter [70600/160000] lr: 1.875e-05, eta: 6:05:10, time: 0.205, data_time: 0.007, memory: 52540, decode.loss_ce: 0.0459, decode.acc_seg: 87.5244, decode.kl_loss: 0.0764, loss: 0.1223 +2023-03-06 04:01:16,000 - mmseg - INFO - Iter [70650/160000] lr: 1.875e-05, eta: 6:04:55, time: 0.207, data_time: 0.007, memory: 52540, decode.loss_ce: 0.0654, decode.acc_seg: 82.9964, decode.kl_loss: 0.0830, loss: 0.1483 +2023-03-06 04:01:28,554 - mmseg - INFO - Iter [70700/160000] lr: 1.875e-05, eta: 6:04:43, time: 0.251, data_time: 0.056, memory: 52540, decode.loss_ce: 0.0489, decode.acc_seg: 86.7001, decode.kl_loss: 0.0692, loss: 0.1181 +2023-03-06 04:01:38,855 - mmseg - INFO - Iter [70750/160000] lr: 1.875e-05, eta: 6:04:29, time: 0.206, data_time: 0.007, memory: 52540, decode.loss_ce: 0.0438, decode.acc_seg: 87.9363, decode.kl_loss: 0.0674, loss: 0.1112 +2023-03-06 04:01:48,956 - mmseg - INFO - Iter [70800/160000] lr: 1.875e-05, eta: 6:04:14, time: 0.202, data_time: 0.007, memory: 52540, decode.loss_ce: 0.0393, decode.acc_seg: 89.3220, decode.kl_loss: 0.0663, loss: 0.1056 +2023-03-06 04:01:59,255 - mmseg - INFO - Iter [70850/160000] lr: 1.875e-05, eta: 6:03:59, time: 0.206, data_time: 0.007, memory: 52540, decode.loss_ce: 0.0389, decode.acc_seg: 89.2814, decode.kl_loss: 0.0648, loss: 0.1036 +2023-03-06 04:02:09,355 - mmseg - INFO - Iter [70900/160000] lr: 1.875e-05, eta: 6:03:44, time: 0.202, data_time: 0.007, memory: 52540, decode.loss_ce: 0.0410, decode.acc_seg: 88.7425, decode.kl_loss: 0.0677, loss: 0.1087 +2023-03-06 04:02:19,474 - mmseg - INFO - Iter [70950/160000] lr: 1.875e-05, eta: 6:03:29, time: 0.202, data_time: 0.007, memory: 52540, decode.loss_ce: 0.0408, decode.acc_seg: 88.9032, decode.kl_loss: 0.0653, loss: 0.1061 +2023-03-06 04:02:29,333 - mmseg - INFO - Exp name: ablation_segformer_mit_b2_segformer_head_unet_fc_small_multi_step_ade_pretrained_freeze_embed_160k_ade20k151_finetune_ema_ce.py +2023-03-06 04:02:29,333 - mmseg - INFO - Iter [71000/160000] lr: 1.875e-05, eta: 6:03:14, time: 0.197, data_time: 0.007, memory: 52540, decode.loss_ce: 0.0387, decode.acc_seg: 89.3159, decode.kl_loss: 0.0681, loss: 0.1067 +2023-03-06 04:02:39,489 - mmseg - INFO - Iter [71050/160000] lr: 1.875e-05, eta: 6:02:59, time: 0.203, data_time: 0.007, memory: 52540, decode.loss_ce: 0.0378, decode.acc_seg: 89.4877, decode.kl_loss: 0.0684, loss: 0.1061 +2023-03-06 04:02:49,405 - mmseg - INFO - Iter [71100/160000] lr: 1.875e-05, eta: 6:02:44, time: 0.198, data_time: 0.007, memory: 52540, decode.loss_ce: 0.0387, decode.acc_seg: 89.3257, decode.kl_loss: 0.0668, loss: 0.1055 +2023-03-06 04:02:59,522 - mmseg - INFO - Iter [71150/160000] lr: 1.875e-05, eta: 6:02:29, time: 0.202, data_time: 0.007, memory: 52540, decode.loss_ce: 0.0418, decode.acc_seg: 88.6225, decode.kl_loss: 0.0704, loss: 0.1122 +2023-03-06 04:03:09,657 - mmseg - INFO - Iter [71200/160000] lr: 1.875e-05, eta: 6:02:14, time: 0.203, data_time: 0.007, memory: 52540, decode.loss_ce: 0.0498, decode.acc_seg: 86.6418, decode.kl_loss: 0.0734, loss: 0.1232 +2023-03-06 04:03:19,925 - mmseg - INFO - Iter [71250/160000] lr: 1.875e-05, eta: 6:01:59, time: 0.205, data_time: 0.007, memory: 52540, decode.loss_ce: 0.0504, decode.acc_seg: 86.2220, decode.kl_loss: 0.0757, loss: 0.1262 +2023-03-06 04:03:29,963 - mmseg - INFO - Iter [71300/160000] lr: 1.875e-05, eta: 6:01:44, time: 0.201, data_time: 0.007, memory: 52540, decode.loss_ce: 0.0451, decode.acc_seg: 87.6871, decode.kl_loss: 0.0694, loss: 0.1146 +2023-03-06 04:03:42,754 - mmseg - INFO - Iter [71350/160000] lr: 1.875e-05, eta: 6:01:33, time: 0.256, data_time: 0.053, memory: 52540, decode.loss_ce: 0.0448, decode.acc_seg: 87.4002, decode.kl_loss: 0.0702, loss: 0.1151 +2023-03-06 04:03:53,012 - mmseg - INFO - Iter [71400/160000] lr: 1.875e-05, eta: 6:01:18, time: 0.205, data_time: 0.008, memory: 52540, decode.loss_ce: 0.0487, decode.acc_seg: 86.7656, decode.kl_loss: 0.0708, loss: 0.1194 +2023-03-06 04:04:02,979 - mmseg - INFO - Iter [71450/160000] lr: 1.875e-05, eta: 6:01:03, time: 0.199, data_time: 0.007, memory: 52540, decode.loss_ce: 0.0436, decode.acc_seg: 87.8545, decode.kl_loss: 0.0684, loss: 0.1119 +2023-03-06 04:04:12,898 - mmseg - INFO - Iter [71500/160000] lr: 1.875e-05, eta: 6:00:48, time: 0.198, data_time: 0.007, memory: 52540, decode.loss_ce: 0.0463, decode.acc_seg: 87.2754, decode.kl_loss: 0.0676, loss: 0.1139 +2023-03-06 04:04:22,953 - mmseg - INFO - Iter [71550/160000] lr: 1.875e-05, eta: 6:00:33, time: 0.201, data_time: 0.008, memory: 52540, decode.loss_ce: 0.0447, decode.acc_seg: 87.6534, decode.kl_loss: 0.0663, loss: 0.1109 +2023-03-06 04:04:32,857 - mmseg - INFO - Iter [71600/160000] lr: 1.875e-05, eta: 6:00:18, time: 0.198, data_time: 0.007, memory: 52540, decode.loss_ce: 0.0406, decode.acc_seg: 88.8527, decode.kl_loss: 0.0643, loss: 0.1050 +2023-03-06 04:04:43,134 - mmseg - INFO - Iter [71650/160000] lr: 1.875e-05, eta: 6:00:03, time: 0.206, data_time: 0.008, memory: 52540, decode.loss_ce: 0.0430, decode.acc_seg: 88.1121, decode.kl_loss: 0.0634, loss: 0.1064 +2023-03-06 04:04:53,479 - mmseg - INFO - Iter [71700/160000] lr: 1.875e-05, eta: 5:59:49, time: 0.207, data_time: 0.007, memory: 52540, decode.loss_ce: 0.0418, decode.acc_seg: 88.3903, decode.kl_loss: 0.0649, loss: 0.1067 +2023-03-06 04:05:03,545 - mmseg - INFO - Iter [71750/160000] lr: 1.875e-05, eta: 5:59:34, time: 0.202, data_time: 0.008, memory: 52540, decode.loss_ce: 0.0390, decode.acc_seg: 89.1184, decode.kl_loss: 0.0614, loss: 0.1005 +2023-03-06 04:05:13,662 - mmseg - INFO - Iter [71800/160000] lr: 1.875e-05, eta: 5:59:19, time: 0.202, data_time: 0.007, memory: 52540, decode.loss_ce: 0.0438, decode.acc_seg: 88.0004, decode.kl_loss: 0.0664, loss: 0.1102 +2023-03-06 04:05:23,818 - mmseg - INFO - Iter [71850/160000] lr: 1.875e-05, eta: 5:59:04, time: 0.203, data_time: 0.008, memory: 52540, decode.loss_ce: 0.0403, decode.acc_seg: 88.8992, decode.kl_loss: 0.0615, loss: 0.1018 +2023-03-06 04:05:33,685 - mmseg - INFO - Iter [71900/160000] lr: 1.875e-05, eta: 5:58:49, time: 0.197, data_time: 0.007, memory: 52540, decode.loss_ce: 0.0381, decode.acc_seg: 89.3144, decode.kl_loss: 0.0622, loss: 0.1002 +2023-03-06 04:05:46,297 - mmseg - INFO - Iter [71950/160000] lr: 1.875e-05, eta: 5:58:38, time: 0.252, data_time: 0.055, memory: 52540, decode.loss_ce: 0.0390, decode.acc_seg: 89.1203, decode.kl_loss: 0.0615, loss: 0.1005 +2023-03-06 04:05:56,630 - mmseg - INFO - Exp name: ablation_segformer_mit_b2_segformer_head_unet_fc_small_multi_step_ade_pretrained_freeze_embed_160k_ade20k151_finetune_ema_ce.py +2023-03-06 04:05:56,630 - mmseg - INFO - Iter [72000/160000] lr: 1.875e-05, eta: 5:58:23, time: 0.207, data_time: 0.007, memory: 52540, decode.loss_ce: 0.0420, decode.acc_seg: 88.5522, decode.kl_loss: 0.0616, loss: 0.1036 +2023-03-06 04:06:06,707 - mmseg - INFO - Iter [72050/160000] lr: 1.875e-05, eta: 5:58:08, time: 0.202, data_time: 0.008, memory: 52540, decode.loss_ce: 0.0390, decode.acc_seg: 89.2391, decode.kl_loss: 0.0611, loss: 0.1001 +2023-03-06 04:06:16,681 - mmseg - INFO - Iter [72100/160000] lr: 1.875e-05, eta: 5:57:53, time: 0.199, data_time: 0.008, memory: 52540, decode.loss_ce: 0.0386, decode.acc_seg: 89.2377, decode.kl_loss: 0.0632, loss: 0.1018 +2023-03-06 04:06:26,615 - mmseg - INFO - Iter [72150/160000] lr: 1.875e-05, eta: 5:57:38, time: 0.199, data_time: 0.007, memory: 52540, decode.loss_ce: 0.0392, decode.acc_seg: 89.1618, decode.kl_loss: 0.0610, loss: 0.1002 +2023-03-06 04:06:36,525 - mmseg - INFO - Iter [72200/160000] lr: 1.875e-05, eta: 5:57:23, time: 0.198, data_time: 0.007, memory: 52540, decode.loss_ce: 0.0381, decode.acc_seg: 89.4310, decode.kl_loss: 0.0613, loss: 0.0994 +2023-03-06 04:06:46,512 - mmseg - INFO - Iter [72250/160000] lr: 1.875e-05, eta: 5:57:08, time: 0.200, data_time: 0.007, memory: 52540, decode.loss_ce: 0.0394, decode.acc_seg: 89.1053, decode.kl_loss: 0.0621, loss: 0.1014 +2023-03-06 04:06:56,527 - mmseg - INFO - Iter [72300/160000] lr: 1.875e-05, eta: 5:56:53, time: 0.200, data_time: 0.007, memory: 52540, decode.loss_ce: 0.0398, decode.acc_seg: 89.0243, decode.kl_loss: 0.0605, loss: 0.1003 +2023-03-06 04:07:06,431 - mmseg - INFO - Iter [72350/160000] lr: 1.875e-05, eta: 5:56:38, time: 0.198, data_time: 0.007, memory: 52540, decode.loss_ce: 0.0386, decode.acc_seg: 89.3265, decode.kl_loss: 0.0593, loss: 0.0979 +2023-03-06 04:07:16,577 - mmseg - INFO - Iter [72400/160000] lr: 1.875e-05, eta: 5:56:24, time: 0.203, data_time: 0.007, memory: 52540, decode.loss_ce: 0.0393, decode.acc_seg: 89.0574, decode.kl_loss: 0.0609, loss: 0.1002 +2023-03-06 04:07:26,511 - mmseg - INFO - Iter [72450/160000] lr: 1.875e-05, eta: 5:56:09, time: 0.199, data_time: 0.007, memory: 52540, decode.loss_ce: 0.0363, decode.acc_seg: 89.5691, decode.kl_loss: 0.0600, loss: 0.0963 +2023-03-06 04:07:36,432 - mmseg - INFO - Iter [72500/160000] lr: 1.875e-05, eta: 5:55:54, time: 0.198, data_time: 0.007, memory: 52540, decode.loss_ce: 0.0395, decode.acc_seg: 89.0485, decode.kl_loss: 0.0654, loss: 0.1049 +2023-03-06 04:07:46,691 - mmseg - INFO - Iter [72550/160000] lr: 1.875e-05, eta: 5:55:39, time: 0.205, data_time: 0.007, memory: 52540, decode.loss_ce: 0.0420, decode.acc_seg: 88.3461, decode.kl_loss: 0.0716, loss: 0.1136 +2023-03-06 04:07:59,383 - mmseg - INFO - Iter [72600/160000] lr: 1.875e-05, eta: 5:55:28, time: 0.254, data_time: 0.053, memory: 52540, decode.loss_ce: 0.0397, decode.acc_seg: 88.9546, decode.kl_loss: 0.0648, loss: 0.1046 +2023-03-06 04:08:09,418 - mmseg - INFO - Iter [72650/160000] lr: 1.875e-05, eta: 5:55:13, time: 0.201, data_time: 0.007, memory: 52540, decode.loss_ce: 0.0387, decode.acc_seg: 89.2678, decode.kl_loss: 0.0651, loss: 0.1038 +2023-03-06 04:08:19,546 - mmseg - INFO - Iter [72700/160000] lr: 1.875e-05, eta: 5:54:58, time: 0.203, data_time: 0.007, memory: 52540, decode.loss_ce: 0.0389, decode.acc_seg: 89.3699, decode.kl_loss: 0.0626, loss: 0.1015 +2023-03-06 04:08:29,759 - mmseg - INFO - Iter [72750/160000] lr: 1.875e-05, eta: 5:54:44, time: 0.204, data_time: 0.007, memory: 52540, decode.loss_ce: 0.0373, decode.acc_seg: 89.5644, decode.kl_loss: 0.0621, loss: 0.0993 +2023-03-06 04:08:39,824 - mmseg - INFO - Iter [72800/160000] lr: 1.875e-05, eta: 5:54:29, time: 0.201, data_time: 0.007, memory: 52540, decode.loss_ce: 0.0385, decode.acc_seg: 89.3988, decode.kl_loss: 0.0624, loss: 0.1008 +2023-03-06 04:08:49,803 - mmseg - INFO - Iter [72850/160000] lr: 1.875e-05, eta: 5:54:14, time: 0.200, data_time: 0.007, memory: 52540, decode.loss_ce: 0.0434, decode.acc_seg: 88.0642, decode.kl_loss: 0.0796, loss: 0.1230 +2023-03-06 04:08:59,761 - mmseg - INFO - Iter [72900/160000] lr: 1.875e-05, eta: 5:53:59, time: 0.199, data_time: 0.007, memory: 52540, decode.loss_ce: 0.0441, decode.acc_seg: 87.7446, decode.kl_loss: 0.0750, loss: 0.1191 +2023-03-06 04:09:09,739 - mmseg - INFO - Iter [72950/160000] lr: 1.875e-05, eta: 5:53:44, time: 0.200, data_time: 0.007, memory: 52540, decode.loss_ce: 0.0424, decode.acc_seg: 88.4075, decode.kl_loss: 0.0681, loss: 0.1105 +2023-03-06 04:09:19,852 - mmseg - INFO - Exp name: ablation_segformer_mit_b2_segformer_head_unet_fc_small_multi_step_ade_pretrained_freeze_embed_160k_ade20k151_finetune_ema_ce.py +2023-03-06 04:09:19,852 - mmseg - INFO - Iter [73000/160000] lr: 1.875e-05, eta: 5:53:30, time: 0.202, data_time: 0.007, memory: 52540, decode.loss_ce: 0.0424, decode.acc_seg: 88.4761, decode.kl_loss: 0.0687, loss: 0.1111 +2023-03-06 04:09:29,903 - mmseg - INFO - Iter [73050/160000] lr: 1.875e-05, eta: 5:53:15, time: 0.201, data_time: 0.007, memory: 52540, decode.loss_ce: 0.0425, decode.acc_seg: 88.2936, decode.kl_loss: 0.0716, loss: 0.1141 +2023-03-06 04:09:39,934 - mmseg - INFO - Iter [73100/160000] lr: 1.875e-05, eta: 5:53:00, time: 0.200, data_time: 0.007, memory: 52540, decode.loss_ce: 0.0448, decode.acc_seg: 87.7514, decode.kl_loss: 0.0691, loss: 0.1139 +2023-03-06 04:09:50,014 - mmseg - INFO - Iter [73150/160000] lr: 1.875e-05, eta: 5:52:45, time: 0.202, data_time: 0.008, memory: 52540, decode.loss_ce: 0.0439, decode.acc_seg: 87.9214, decode.kl_loss: 0.0665, loss: 0.1104 +2023-03-06 04:10:02,708 - mmseg - INFO - Iter [73200/160000] lr: 1.875e-05, eta: 5:52:34, time: 0.254, data_time: 0.054, memory: 52540, decode.loss_ce: 0.0398, decode.acc_seg: 88.9421, decode.kl_loss: 0.0643, loss: 0.1041 +2023-03-06 04:10:12,788 - mmseg - INFO - Iter [73250/160000] lr: 1.875e-05, eta: 5:52:19, time: 0.202, data_time: 0.007, memory: 52540, decode.loss_ce: 0.0435, decode.acc_seg: 88.0863, decode.kl_loss: 0.0688, loss: 0.1122 +2023-03-06 04:10:23,140 - mmseg - INFO - Iter [73300/160000] lr: 1.875e-05, eta: 5:52:05, time: 0.207, data_time: 0.007, memory: 52540, decode.loss_ce: 0.0417, decode.acc_seg: 88.3418, decode.kl_loss: 0.0714, loss: 0.1131 +2023-03-06 04:10:33,179 - mmseg - INFO - Iter [73350/160000] lr: 1.875e-05, eta: 5:51:50, time: 0.201, data_time: 0.007, memory: 52540, decode.loss_ce: 0.0506, decode.acc_seg: 86.4502, decode.kl_loss: 0.0789, loss: 0.1295 +2023-03-06 04:10:43,280 - mmseg - INFO - Iter [73400/160000] lr: 1.875e-05, eta: 5:51:35, time: 0.202, data_time: 0.008, memory: 52540, decode.loss_ce: 0.0462, decode.acc_seg: 87.4060, decode.kl_loss: 0.0750, loss: 0.1212 +2023-03-06 04:10:53,332 - mmseg - INFO - Iter [73450/160000] lr: 1.875e-05, eta: 5:51:21, time: 0.201, data_time: 0.007, memory: 52540, decode.loss_ce: 0.0469, decode.acc_seg: 87.3486, decode.kl_loss: 0.0725, loss: 0.1194 +2023-03-06 04:11:03,514 - mmseg - INFO - Iter [73500/160000] lr: 1.875e-05, eta: 5:51:06, time: 0.204, data_time: 0.007, memory: 52540, decode.loss_ce: 0.0424, decode.acc_seg: 88.3604, decode.kl_loss: 0.0671, loss: 0.1095 +2023-03-06 04:11:13,697 - mmseg - INFO - Iter [73550/160000] lr: 1.875e-05, eta: 5:50:52, time: 0.204, data_time: 0.007, memory: 52540, decode.loss_ce: 0.0402, decode.acc_seg: 89.0189, decode.kl_loss: 0.0646, loss: 0.1048 +2023-03-06 04:11:23,733 - mmseg - INFO - Iter [73600/160000] lr: 1.875e-05, eta: 5:50:37, time: 0.201, data_time: 0.007, memory: 52540, decode.loss_ce: 0.0421, decode.acc_seg: 88.4165, decode.kl_loss: 0.0690, loss: 0.1111 +2023-03-06 04:11:33,816 - mmseg - INFO - Iter [73650/160000] lr: 1.875e-05, eta: 5:50:22, time: 0.202, data_time: 0.007, memory: 52540, decode.loss_ce: 0.0412, decode.acc_seg: 88.5079, decode.kl_loss: 0.0683, loss: 0.1095 +2023-03-06 04:11:43,779 - mmseg - INFO - Iter [73700/160000] lr: 1.875e-05, eta: 5:50:08, time: 0.199, data_time: 0.007, memory: 52540, decode.loss_ce: 0.0414, decode.acc_seg: 88.6620, decode.kl_loss: 0.0678, loss: 0.1092 +2023-03-06 04:11:53,736 - mmseg - INFO - Iter [73750/160000] lr: 1.875e-05, eta: 5:49:53, time: 0.199, data_time: 0.007, memory: 52540, decode.loss_ce: 0.0394, decode.acc_seg: 89.0580, decode.kl_loss: 0.0631, loss: 0.1024 +2023-03-06 04:12:03,671 - mmseg - INFO - Iter [73800/160000] lr: 1.875e-05, eta: 5:49:38, time: 0.199, data_time: 0.008, memory: 52540, decode.loss_ce: 0.0394, decode.acc_seg: 89.0580, decode.kl_loss: 0.0632, loss: 0.1026 +2023-03-06 04:12:16,111 - mmseg - INFO - Iter [73850/160000] lr: 1.875e-05, eta: 5:49:26, time: 0.249, data_time: 0.056, memory: 52540, decode.loss_ce: 0.0400, decode.acc_seg: 89.0420, decode.kl_loss: 0.0607, loss: 0.1007 +2023-03-06 04:12:26,328 - mmseg - INFO - Iter [73900/160000] lr: 1.875e-05, eta: 5:49:12, time: 0.204, data_time: 0.007, memory: 52540, decode.loss_ce: 0.0396, decode.acc_seg: 89.0139, decode.kl_loss: 0.0619, loss: 0.1016 +2023-03-06 04:12:36,385 - mmseg - INFO - Iter [73950/160000] lr: 1.875e-05, eta: 5:48:57, time: 0.201, data_time: 0.007, memory: 52540, decode.loss_ce: 0.0425, decode.acc_seg: 88.2985, decode.kl_loss: 0.0672, loss: 0.1097 +2023-03-06 04:12:46,306 - mmseg - INFO - Exp name: ablation_segformer_mit_b2_segformer_head_unet_fc_small_multi_step_ade_pretrained_freeze_embed_160k_ade20k151_finetune_ema_ce.py +2023-03-06 04:12:46,306 - mmseg - INFO - Iter [74000/160000] lr: 1.875e-05, eta: 5:48:42, time: 0.198, data_time: 0.007, memory: 52540, decode.loss_ce: 0.0420, decode.acc_seg: 88.3778, decode.kl_loss: 0.0638, loss: 0.1059 +2023-03-06 04:12:56,203 - mmseg - INFO - Iter [74050/160000] lr: 1.875e-05, eta: 5:48:28, time: 0.198, data_time: 0.007, memory: 52540, decode.loss_ce: 0.0391, decode.acc_seg: 89.1145, decode.kl_loss: 0.0625, loss: 0.1016 +2023-03-06 04:13:06,482 - mmseg - INFO - Iter [74100/160000] lr: 1.875e-05, eta: 5:48:13, time: 0.206, data_time: 0.007, memory: 52540, decode.loss_ce: 0.0394, decode.acc_seg: 89.0098, decode.kl_loss: 0.0635, loss: 0.1029 +2023-03-06 04:13:16,805 - mmseg - INFO - Iter [74150/160000] lr: 1.875e-05, eta: 5:47:59, time: 0.206, data_time: 0.008, memory: 52540, decode.loss_ce: 0.0384, decode.acc_seg: 89.3652, decode.kl_loss: 0.0591, loss: 0.0975 +2023-03-06 04:13:26,855 - mmseg - INFO - Iter [74200/160000] lr: 1.875e-05, eta: 5:47:44, time: 0.201, data_time: 0.007, memory: 52540, decode.loss_ce: 0.0413, decode.acc_seg: 88.7103, decode.kl_loss: 0.0619, loss: 0.1032 +2023-03-06 04:13:36,801 - mmseg - INFO - Iter [74250/160000] lr: 1.875e-05, eta: 5:47:30, time: 0.199, data_time: 0.008, memory: 52540, decode.loss_ce: 0.0418, decode.acc_seg: 88.4180, decode.kl_loss: 0.0629, loss: 0.1047 +2023-03-06 04:13:46,784 - mmseg - INFO - Iter [74300/160000] lr: 1.875e-05, eta: 5:47:15, time: 0.200, data_time: 0.007, memory: 52540, decode.loss_ce: 0.0394, decode.acc_seg: 89.0425, decode.kl_loss: 0.0625, loss: 0.1019 +2023-03-06 04:13:57,043 - mmseg - INFO - Iter [74350/160000] lr: 1.875e-05, eta: 5:47:01, time: 0.205, data_time: 0.007, memory: 52540, decode.loss_ce: 0.0427, decode.acc_seg: 88.1256, decode.kl_loss: 0.0672, loss: 0.1100 +2023-03-06 04:14:07,264 - mmseg - INFO - Iter [74400/160000] lr: 1.875e-05, eta: 5:46:46, time: 0.204, data_time: 0.007, memory: 52540, decode.loss_ce: 0.0409, decode.acc_seg: 88.7499, decode.kl_loss: 0.0614, loss: 0.1023 +2023-03-06 04:14:17,245 - mmseg - INFO - Iter [74450/160000] lr: 1.875e-05, eta: 5:46:32, time: 0.200, data_time: 0.008, memory: 52540, decode.loss_ce: 0.0437, decode.acc_seg: 88.0167, decode.kl_loss: 0.0656, loss: 0.1093 +2023-03-06 04:14:30,095 - mmseg - INFO - Iter [74500/160000] lr: 1.875e-05, eta: 5:46:20, time: 0.257, data_time: 0.055, memory: 52540, decode.loss_ce: 0.0430, decode.acc_seg: 88.2101, decode.kl_loss: 0.0677, loss: 0.1106 +2023-03-06 04:14:40,504 - mmseg - INFO - Iter [74550/160000] lr: 1.875e-05, eta: 5:46:06, time: 0.208, data_time: 0.008, memory: 52540, decode.loss_ce: 0.0392, decode.acc_seg: 89.1225, decode.kl_loss: 0.0665, loss: 0.1057 +2023-03-06 04:14:50,619 - mmseg - INFO - Iter [74600/160000] lr: 1.875e-05, eta: 5:45:52, time: 0.202, data_time: 0.008, memory: 52540, decode.loss_ce: 0.0410, decode.acc_seg: 88.6252, decode.kl_loss: 0.0652, loss: 0.1062 +2023-03-06 04:15:01,003 - mmseg - INFO - Iter [74650/160000] lr: 1.875e-05, eta: 5:45:38, time: 0.208, data_time: 0.008, memory: 52540, decode.loss_ce: 0.0456, decode.acc_seg: 87.5427, decode.kl_loss: 0.0644, loss: 0.1100 +2023-03-06 04:15:11,005 - mmseg - INFO - Iter [74700/160000] lr: 1.875e-05, eta: 5:45:23, time: 0.200, data_time: 0.007, memory: 52540, decode.loss_ce: 0.0386, decode.acc_seg: 89.3817, decode.kl_loss: 0.0566, loss: 0.0952 +2023-03-06 04:15:20,962 - mmseg - INFO - Iter [74750/160000] lr: 1.875e-05, eta: 5:45:08, time: 0.199, data_time: 0.007, memory: 52540, decode.loss_ce: 0.0389, decode.acc_seg: 89.3066, decode.kl_loss: 0.0577, loss: 0.0966 +2023-03-06 04:15:31,018 - mmseg - INFO - Iter [74800/160000] lr: 1.875e-05, eta: 5:44:54, time: 0.201, data_time: 0.008, memory: 52540, decode.loss_ce: 0.0379, decode.acc_seg: 89.4858, decode.kl_loss: 0.0590, loss: 0.0969 +2023-03-06 04:15:41,205 - mmseg - INFO - Iter [74850/160000] lr: 1.875e-05, eta: 5:44:39, time: 0.203, data_time: 0.007, memory: 52540, decode.loss_ce: 0.0375, decode.acc_seg: 89.6505, decode.kl_loss: 0.0591, loss: 0.0966 +2023-03-06 04:15:51,799 - mmseg - INFO - Iter [74900/160000] lr: 1.875e-05, eta: 5:44:25, time: 0.212, data_time: 0.008, memory: 52540, decode.loss_ce: 0.0395, decode.acc_seg: 88.9715, decode.kl_loss: 0.0640, loss: 0.1036 +2023-03-06 04:16:02,028 - mmseg - INFO - Iter [74950/160000] lr: 1.875e-05, eta: 5:44:11, time: 0.205, data_time: 0.008, memory: 52540, decode.loss_ce: 0.0366, decode.acc_seg: 89.7461, decode.kl_loss: 0.0608, loss: 0.0974 +2023-03-06 04:16:12,209 - mmseg - INFO - Exp name: ablation_segformer_mit_b2_segformer_head_unet_fc_small_multi_step_ade_pretrained_freeze_embed_160k_ade20k151_finetune_ema_ce.py +2023-03-06 04:16:12,209 - mmseg - INFO - Iter [75000/160000] lr: 1.875e-05, eta: 5:43:57, time: 0.204, data_time: 0.007, memory: 52540, decode.loss_ce: 0.0376, decode.acc_seg: 89.6376, decode.kl_loss: 0.0616, loss: 0.0991 +2023-03-06 04:16:22,170 - mmseg - INFO - Iter [75050/160000] lr: 1.875e-05, eta: 5:43:42, time: 0.199, data_time: 0.007, memory: 52540, decode.loss_ce: 0.0384, decode.acc_seg: 89.4824, decode.kl_loss: 0.0672, loss: 0.1056 +2023-03-06 04:16:34,828 - mmseg - INFO - Iter [75100/160000] lr: 1.875e-05, eta: 5:43:31, time: 0.253, data_time: 0.056, memory: 52540, decode.loss_ce: 0.0379, decode.acc_seg: 89.4598, decode.kl_loss: 0.0643, loss: 0.1023 +2023-03-06 04:16:45,252 - mmseg - INFO - Iter [75150/160000] lr: 1.875e-05, eta: 5:43:17, time: 0.208, data_time: 0.007, memory: 52540, decode.loss_ce: 0.0375, decode.acc_seg: 89.5594, decode.kl_loss: 0.0661, loss: 0.1036 +2023-03-06 04:16:55,171 - mmseg - INFO - Iter [75200/160000] lr: 1.875e-05, eta: 5:43:02, time: 0.198, data_time: 0.007, memory: 52540, decode.loss_ce: 0.0377, decode.acc_seg: 89.4181, decode.kl_loss: 0.0656, loss: 0.1033 +2023-03-06 04:17:05,087 - mmseg - INFO - Iter [75250/160000] lr: 1.875e-05, eta: 5:42:47, time: 0.198, data_time: 0.007, memory: 52540, decode.loss_ce: 0.0386, decode.acc_seg: 89.3673, decode.kl_loss: 0.0635, loss: 0.1020 +2023-03-06 04:17:15,102 - mmseg - INFO - Iter [75300/160000] lr: 1.875e-05, eta: 5:42:33, time: 0.200, data_time: 0.007, memory: 52540, decode.loss_ce: 0.0420, decode.acc_seg: 88.2399, decode.kl_loss: 0.0645, loss: 0.1065 +2023-03-06 04:17:25,084 - mmseg - INFO - Iter [75350/160000] lr: 1.875e-05, eta: 5:42:18, time: 0.200, data_time: 0.007, memory: 52540, decode.loss_ce: 0.0402, decode.acc_seg: 88.9180, decode.kl_loss: 0.0606, loss: 0.1007 +2023-03-06 04:17:35,143 - mmseg - INFO - Iter [75400/160000] lr: 1.875e-05, eta: 5:42:04, time: 0.201, data_time: 0.007, memory: 52540, decode.loss_ce: 0.0400, decode.acc_seg: 88.9233, decode.kl_loss: 0.0584, loss: 0.0984 +2023-03-06 04:17:45,194 - mmseg - INFO - Iter [75450/160000] lr: 1.875e-05, eta: 5:41:49, time: 0.201, data_time: 0.007, memory: 52540, decode.loss_ce: 0.0416, decode.acc_seg: 88.3249, decode.kl_loss: 0.0623, loss: 0.1039 +2023-03-06 04:17:55,293 - mmseg - INFO - Iter [75500/160000] lr: 1.875e-05, eta: 5:41:35, time: 0.202, data_time: 0.007, memory: 52540, decode.loss_ce: 0.0417, decode.acc_seg: 88.3874, decode.kl_loss: 0.0601, loss: 0.1017 +2023-03-06 04:18:05,588 - mmseg - INFO - Iter [75550/160000] lr: 1.875e-05, eta: 5:41:21, time: 0.206, data_time: 0.007, memory: 52540, decode.loss_ce: 0.0398, decode.acc_seg: 88.9415, decode.kl_loss: 0.0602, loss: 0.1000 +2023-03-06 04:18:15,475 - mmseg - INFO - Iter [75600/160000] lr: 1.875e-05, eta: 5:41:06, time: 0.198, data_time: 0.007, memory: 52540, decode.loss_ce: 0.0392, decode.acc_seg: 89.0566, decode.kl_loss: 0.0585, loss: 0.0977 +2023-03-06 04:18:25,408 - mmseg - INFO - Iter [75650/160000] lr: 1.875e-05, eta: 5:40:52, time: 0.199, data_time: 0.007, memory: 52540, decode.loss_ce: 0.0390, decode.acc_seg: 89.1955, decode.kl_loss: 0.0559, loss: 0.0949 +2023-03-06 04:18:35,645 - mmseg - INFO - Iter [75700/160000] lr: 1.875e-05, eta: 5:40:37, time: 0.205, data_time: 0.007, memory: 52540, decode.loss_ce: 0.0376, decode.acc_seg: 89.5691, decode.kl_loss: 0.0569, loss: 0.0945 +2023-03-06 04:18:48,320 - mmseg - INFO - Iter [75750/160000] lr: 1.875e-05, eta: 5:40:26, time: 0.253, data_time: 0.058, memory: 52540, decode.loss_ce: 0.0370, decode.acc_seg: 89.6096, decode.kl_loss: 0.0568, loss: 0.0938 +2023-03-06 04:18:58,372 - mmseg - INFO - Iter [75800/160000] lr: 1.875e-05, eta: 5:40:11, time: 0.201, data_time: 0.007, memory: 52540, decode.loss_ce: 0.0389, decode.acc_seg: 89.1324, decode.kl_loss: 0.0594, loss: 0.0982 +2023-03-06 04:19:08,314 - mmseg - INFO - Iter [75850/160000] lr: 1.875e-05, eta: 5:39:57, time: 0.199, data_time: 0.007, memory: 52540, decode.loss_ce: 0.0383, decode.acc_seg: 89.4299, decode.kl_loss: 0.0586, loss: 0.0969 +2023-03-06 04:19:18,313 - mmseg - INFO - Iter [75900/160000] lr: 1.875e-05, eta: 5:39:42, time: 0.200, data_time: 0.007, memory: 52540, decode.loss_ce: 0.0371, decode.acc_seg: 89.6439, decode.kl_loss: 0.0603, loss: 0.0974 +2023-03-06 04:19:28,632 - mmseg - INFO - Iter [75950/160000] lr: 1.875e-05, eta: 5:39:28, time: 0.206, data_time: 0.008, memory: 52540, decode.loss_ce: 0.0382, decode.acc_seg: 89.4503, decode.kl_loss: 0.0576, loss: 0.0958 +2023-03-06 04:19:38,666 - mmseg - INFO - Exp name: ablation_segformer_mit_b2_segformer_head_unet_fc_small_multi_step_ade_pretrained_freeze_embed_160k_ade20k151_finetune_ema_ce.py +2023-03-06 04:19:38,666 - mmseg - INFO - Iter [76000/160000] lr: 1.875e-05, eta: 5:39:14, time: 0.201, data_time: 0.007, memory: 52540, decode.loss_ce: 0.0395, decode.acc_seg: 89.0887, decode.kl_loss: 0.0572, loss: 0.0967 +2023-03-06 04:19:48,580 - mmseg - INFO - Iter [76050/160000] lr: 1.875e-05, eta: 5:38:59, time: 0.198, data_time: 0.007, memory: 52540, decode.loss_ce: 0.0366, decode.acc_seg: 89.6956, decode.kl_loss: 0.0551, loss: 0.0917 +2023-03-06 04:19:58,744 - mmseg - INFO - Iter [76100/160000] lr: 1.875e-05, eta: 5:38:45, time: 0.203, data_time: 0.007, memory: 52540, decode.loss_ce: 0.0368, decode.acc_seg: 89.6112, decode.kl_loss: 0.0555, loss: 0.0923 +2023-03-06 04:20:08,728 - mmseg - INFO - Iter [76150/160000] lr: 1.875e-05, eta: 5:38:31, time: 0.200, data_time: 0.007, memory: 52540, decode.loss_ce: 0.0379, decode.acc_seg: 89.4266, decode.kl_loss: 0.0601, loss: 0.0979 +2023-03-06 04:20:18,809 - mmseg - INFO - Iter [76200/160000] lr: 1.875e-05, eta: 5:38:16, time: 0.202, data_time: 0.007, memory: 52540, decode.loss_ce: 0.0385, decode.acc_seg: 89.3967, decode.kl_loss: 0.0608, loss: 0.0993 +2023-03-06 04:20:28,856 - mmseg - INFO - Iter [76250/160000] lr: 1.875e-05, eta: 5:38:02, time: 0.201, data_time: 0.007, memory: 52540, decode.loss_ce: 0.0375, decode.acc_seg: 89.5546, decode.kl_loss: 0.0633, loss: 0.1008 +2023-03-06 04:20:39,021 - mmseg - INFO - Iter [76300/160000] lr: 1.875e-05, eta: 5:37:48, time: 0.203, data_time: 0.007, memory: 52540, decode.loss_ce: 0.0379, decode.acc_seg: 89.4075, decode.kl_loss: 0.0598, loss: 0.0976 +2023-03-06 04:20:48,920 - mmseg - INFO - Iter [76350/160000] lr: 1.875e-05, eta: 5:37:33, time: 0.198, data_time: 0.007, memory: 52540, decode.loss_ce: 0.0403, decode.acc_seg: 88.8894, decode.kl_loss: 0.0606, loss: 0.1009 +2023-03-06 04:21:01,816 - mmseg - INFO - Iter [76400/160000] lr: 1.875e-05, eta: 5:37:22, time: 0.258, data_time: 0.053, memory: 52540, decode.loss_ce: 0.0405, decode.acc_seg: 88.8429, decode.kl_loss: 0.0603, loss: 0.1008 +2023-03-06 04:21:11,917 - mmseg - INFO - Iter [76450/160000] lr: 1.875e-05, eta: 5:37:08, time: 0.202, data_time: 0.007, memory: 52540, decode.loss_ce: 0.0422, decode.acc_seg: 88.2715, decode.kl_loss: 0.0606, loss: 0.1027 +2023-03-06 04:21:22,132 - mmseg - INFO - Iter [76500/160000] lr: 1.875e-05, eta: 5:36:53, time: 0.204, data_time: 0.007, memory: 52540, decode.loss_ce: 0.0409, decode.acc_seg: 88.7297, decode.kl_loss: 0.0600, loss: 0.1010 +2023-03-06 04:21:32,061 - mmseg - INFO - Iter [76550/160000] lr: 1.875e-05, eta: 5:36:39, time: 0.199, data_time: 0.007, memory: 52540, decode.loss_ce: 0.0409, decode.acc_seg: 88.7697, decode.kl_loss: 0.0595, loss: 0.1004 +2023-03-06 04:21:42,002 - mmseg - INFO - Iter [76600/160000] lr: 1.875e-05, eta: 5:36:24, time: 0.199, data_time: 0.007, memory: 52540, decode.loss_ce: 0.0379, decode.acc_seg: 89.4284, decode.kl_loss: 0.0634, loss: 0.1013 +2023-03-06 04:21:51,975 - mmseg - INFO - Iter [76650/160000] lr: 1.875e-05, eta: 5:36:10, time: 0.199, data_time: 0.007, memory: 52540, decode.loss_ce: 0.0373, decode.acc_seg: 89.5851, decode.kl_loss: 0.0632, loss: 0.1005 +2023-03-06 04:22:02,118 - mmseg - INFO - Iter [76700/160000] lr: 1.875e-05, eta: 5:35:56, time: 0.203, data_time: 0.007, memory: 52540, decode.loss_ce: 0.0373, decode.acc_seg: 89.6509, decode.kl_loss: 0.0623, loss: 0.0996 +2023-03-06 04:22:12,111 - mmseg - INFO - Iter [76750/160000] lr: 1.875e-05, eta: 5:35:41, time: 0.200, data_time: 0.008, memory: 52540, decode.loss_ce: 0.0381, decode.acc_seg: 89.4674, decode.kl_loss: 0.0587, loss: 0.0968 +2023-03-06 04:22:22,184 - mmseg - INFO - Iter [76800/160000] lr: 1.875e-05, eta: 5:35:27, time: 0.201, data_time: 0.007, memory: 52540, decode.loss_ce: 0.0371, decode.acc_seg: 89.6314, decode.kl_loss: 0.0613, loss: 0.0984 +2023-03-06 04:22:32,171 - mmseg - INFO - Iter [76850/160000] lr: 1.875e-05, eta: 5:35:13, time: 0.200, data_time: 0.007, memory: 52540, decode.loss_ce: 0.0388, decode.acc_seg: 89.3144, decode.kl_loss: 0.0629, loss: 0.1017 +2023-03-06 04:22:42,195 - mmseg - INFO - Iter [76900/160000] lr: 1.875e-05, eta: 5:34:58, time: 0.200, data_time: 0.007, memory: 52540, decode.loss_ce: 0.0392, decode.acc_seg: 89.2113, decode.kl_loss: 0.0693, loss: 0.1084 +2023-03-06 04:22:52,471 - mmseg - INFO - Iter [76950/160000] lr: 1.875e-05, eta: 5:34:44, time: 0.206, data_time: 0.007, memory: 52540, decode.loss_ce: 0.0390, decode.acc_seg: 89.1160, decode.kl_loss: 0.0644, loss: 0.1033 +2023-03-06 04:23:04,951 - mmseg - INFO - Exp name: ablation_segformer_mit_b2_segformer_head_unet_fc_small_multi_step_ade_pretrained_freeze_embed_160k_ade20k151_finetune_ema_ce.py +2023-03-06 04:23:04,951 - mmseg - INFO - Iter [77000/160000] lr: 1.875e-05, eta: 5:34:33, time: 0.250, data_time: 0.054, memory: 52540, decode.loss_ce: 0.0391, decode.acc_seg: 89.2763, decode.kl_loss: 0.0634, loss: 0.1024 +2023-03-06 04:23:14,997 - mmseg - INFO - Iter [77050/160000] lr: 1.875e-05, eta: 5:34:18, time: 0.201, data_time: 0.007, memory: 52540, decode.loss_ce: 0.0392, decode.acc_seg: 89.0862, decode.kl_loss: 0.0642, loss: 0.1034 +2023-03-06 04:23:24,954 - mmseg - INFO - Iter [77100/160000] lr: 1.875e-05, eta: 5:34:04, time: 0.199, data_time: 0.007, memory: 52540, decode.loss_ce: 0.0405, decode.acc_seg: 89.0197, decode.kl_loss: 0.0630, loss: 0.1035 +2023-03-06 04:23:34,972 - mmseg - INFO - Iter [77150/160000] lr: 1.875e-05, eta: 5:33:50, time: 0.200, data_time: 0.007, memory: 52540, decode.loss_ce: 0.0380, decode.acc_seg: 89.5714, decode.kl_loss: 0.0610, loss: 0.0990 +2023-03-06 04:23:44,976 - mmseg - INFO - Iter [77200/160000] lr: 1.875e-05, eta: 5:33:35, time: 0.200, data_time: 0.007, memory: 52540, decode.loss_ce: 0.0388, decode.acc_seg: 89.3818, decode.kl_loss: 0.0638, loss: 0.1027 +2023-03-06 04:23:54,984 - mmseg - INFO - Iter [77250/160000] lr: 1.875e-05, eta: 5:33:21, time: 0.200, data_time: 0.007, memory: 52540, decode.loss_ce: 0.0364, decode.acc_seg: 89.7109, decode.kl_loss: 0.0626, loss: 0.0990 +2023-03-06 04:24:05,005 - mmseg - INFO - Iter [77300/160000] lr: 1.875e-05, eta: 5:33:07, time: 0.200, data_time: 0.008, memory: 52540, decode.loss_ce: 0.0372, decode.acc_seg: 89.6909, decode.kl_loss: 0.0585, loss: 0.0957 +2023-03-06 04:24:15,025 - mmseg - INFO - Iter [77350/160000] lr: 1.875e-05, eta: 5:32:52, time: 0.200, data_time: 0.007, memory: 52540, decode.loss_ce: 0.0365, decode.acc_seg: 89.6416, decode.kl_loss: 0.0630, loss: 0.0995 +2023-03-06 04:24:25,042 - mmseg - INFO - Iter [77400/160000] lr: 1.875e-05, eta: 5:32:38, time: 0.200, data_time: 0.007, memory: 52540, decode.loss_ce: 0.0381, decode.acc_seg: 89.3834, decode.kl_loss: 0.0631, loss: 0.1012 +2023-03-06 04:24:35,166 - mmseg - INFO - Iter [77450/160000] lr: 1.875e-05, eta: 5:32:24, time: 0.202, data_time: 0.007, memory: 52540, decode.loss_ce: 0.0378, decode.acc_seg: 89.4103, decode.kl_loss: 0.0625, loss: 0.1004 +2023-03-06 04:24:45,576 - mmseg - INFO - Iter [77500/160000] lr: 1.875e-05, eta: 5:32:10, time: 0.208, data_time: 0.007, memory: 52540, decode.loss_ce: 0.0375, decode.acc_seg: 89.3955, decode.kl_loss: 0.0619, loss: 0.0994 +2023-03-06 04:24:55,507 - mmseg - INFO - Iter [77550/160000] lr: 1.875e-05, eta: 5:31:56, time: 0.199, data_time: 0.007, memory: 52540, decode.loss_ce: 0.0386, decode.acc_seg: 89.3281, decode.kl_loss: 0.0629, loss: 0.1014 +2023-03-06 04:25:05,474 - mmseg - INFO - Iter [77600/160000] lr: 1.875e-05, eta: 5:31:41, time: 0.199, data_time: 0.007, memory: 52540, decode.loss_ce: 0.0399, decode.acc_seg: 88.9536, decode.kl_loss: 0.0637, loss: 0.1036 +2023-03-06 04:25:18,210 - mmseg - INFO - Iter [77650/160000] lr: 1.875e-05, eta: 5:31:30, time: 0.255, data_time: 0.055, memory: 52540, decode.loss_ce: 0.0395, decode.acc_seg: 89.1000, decode.kl_loss: 0.0609, loss: 0.1004 +2023-03-06 04:25:28,431 - mmseg - INFO - Iter [77700/160000] lr: 1.875e-05, eta: 5:31:16, time: 0.204, data_time: 0.008, memory: 52540, decode.loss_ce: 0.0375, decode.acc_seg: 89.5979, decode.kl_loss: 0.0617, loss: 0.0992 +2023-03-06 04:25:38,626 - mmseg - INFO - Iter [77750/160000] lr: 1.875e-05, eta: 5:31:02, time: 0.204, data_time: 0.007, memory: 52540, decode.loss_ce: 0.0374, decode.acc_seg: 89.6864, decode.kl_loss: 0.0586, loss: 0.0960 +2023-03-06 04:25:48,590 - mmseg - INFO - Iter [77800/160000] lr: 1.875e-05, eta: 5:30:48, time: 0.199, data_time: 0.008, memory: 52540, decode.loss_ce: 0.0372, decode.acc_seg: 89.6992, decode.kl_loss: 0.0562, loss: 0.0935 +2023-03-06 04:25:58,500 - mmseg - INFO - Iter [77850/160000] lr: 1.875e-05, eta: 5:30:33, time: 0.198, data_time: 0.007, memory: 52540, decode.loss_ce: 0.0379, decode.acc_seg: 89.4692, decode.kl_loss: 0.0577, loss: 0.0955 +2023-03-06 04:26:08,602 - mmseg - INFO - Iter [77900/160000] lr: 1.875e-05, eta: 5:30:19, time: 0.202, data_time: 0.007, memory: 52540, decode.loss_ce: 0.0369, decode.acc_seg: 89.5821, decode.kl_loss: 0.0577, loss: 0.0946 +2023-03-06 04:26:18,677 - mmseg - INFO - Iter [77950/160000] lr: 1.875e-05, eta: 5:30:05, time: 0.202, data_time: 0.008, memory: 52540, decode.loss_ce: 0.0364, decode.acc_seg: 89.7206, decode.kl_loss: 0.0583, loss: 0.0947 +2023-03-06 04:26:28,612 - mmseg - INFO - Exp name: ablation_segformer_mit_b2_segformer_head_unet_fc_small_multi_step_ade_pretrained_freeze_embed_160k_ade20k151_finetune_ema_ce.py +2023-03-06 04:26:28,612 - mmseg - INFO - Iter [78000/160000] lr: 1.875e-05, eta: 5:29:51, time: 0.199, data_time: 0.007, memory: 52540, decode.loss_ce: 0.0384, decode.acc_seg: 89.4241, decode.kl_loss: 0.0579, loss: 0.0963 +2023-03-06 04:26:38,823 - mmseg - INFO - Iter [78050/160000] lr: 1.875e-05, eta: 5:29:37, time: 0.204, data_time: 0.007, memory: 52540, decode.loss_ce: 0.0388, decode.acc_seg: 89.0924, decode.kl_loss: 0.0582, loss: 0.0970 +2023-03-06 04:26:48,837 - mmseg - INFO - Iter [78100/160000] lr: 1.875e-05, eta: 5:29:22, time: 0.200, data_time: 0.007, memory: 52540, decode.loss_ce: 0.0378, decode.acc_seg: 89.3605, decode.kl_loss: 0.0574, loss: 0.0952 +2023-03-06 04:26:58,922 - mmseg - INFO - Iter [78150/160000] lr: 1.875e-05, eta: 5:29:08, time: 0.202, data_time: 0.007, memory: 52540, decode.loss_ce: 0.0388, decode.acc_seg: 89.2732, decode.kl_loss: 0.0578, loss: 0.0966 +2023-03-06 04:27:09,035 - mmseg - INFO - Iter [78200/160000] lr: 1.875e-05, eta: 5:28:54, time: 0.202, data_time: 0.007, memory: 52540, decode.loss_ce: 0.0380, decode.acc_seg: 89.5441, decode.kl_loss: 0.0565, loss: 0.0945 +2023-03-06 04:27:21,592 - mmseg - INFO - Iter [78250/160000] lr: 1.875e-05, eta: 5:28:43, time: 0.251, data_time: 0.058, memory: 52540, decode.loss_ce: 0.0386, decode.acc_seg: 89.4583, decode.kl_loss: 0.0588, loss: 0.0974 +2023-03-06 04:27:32,026 - mmseg - INFO - Iter [78300/160000] lr: 1.875e-05, eta: 5:28:29, time: 0.209, data_time: 0.007, memory: 52540, decode.loss_ce: 0.0364, decode.acc_seg: 89.7580, decode.kl_loss: 0.0570, loss: 0.0934 +2023-03-06 04:27:42,304 - mmseg - INFO - Iter [78350/160000] lr: 1.875e-05, eta: 5:28:15, time: 0.206, data_time: 0.007, memory: 52540, decode.loss_ce: 0.0378, decode.acc_seg: 89.5609, decode.kl_loss: 0.0566, loss: 0.0944 +2023-03-06 04:27:52,199 - mmseg - INFO - Iter [78400/160000] lr: 1.875e-05, eta: 5:28:01, time: 0.198, data_time: 0.007, memory: 52540, decode.loss_ce: 0.0376, decode.acc_seg: 89.7156, decode.kl_loss: 0.0574, loss: 0.0950 +2023-03-06 04:28:02,426 - mmseg - INFO - Iter [78450/160000] lr: 1.875e-05, eta: 5:27:47, time: 0.205, data_time: 0.007, memory: 52540, decode.loss_ce: 0.0373, decode.acc_seg: 89.7445, decode.kl_loss: 0.0557, loss: 0.0930 +2023-03-06 04:28:12,465 - mmseg - INFO - Iter [78500/160000] lr: 1.875e-05, eta: 5:27:33, time: 0.201, data_time: 0.007, memory: 52540, decode.loss_ce: 0.0378, decode.acc_seg: 89.4939, decode.kl_loss: 0.0583, loss: 0.0961 +2023-03-06 04:28:22,627 - mmseg - INFO - Iter [78550/160000] lr: 1.875e-05, eta: 5:27:19, time: 0.203, data_time: 0.007, memory: 52540, decode.loss_ce: 0.0387, decode.acc_seg: 89.2597, decode.kl_loss: 0.0566, loss: 0.0953 +2023-03-06 04:28:32,702 - mmseg - INFO - Iter [78600/160000] lr: 1.875e-05, eta: 5:27:04, time: 0.201, data_time: 0.007, memory: 52540, decode.loss_ce: 0.0374, decode.acc_seg: 89.7355, decode.kl_loss: 0.0562, loss: 0.0936 +2023-03-06 04:28:42,669 - mmseg - INFO - Iter [78650/160000] lr: 1.875e-05, eta: 5:26:50, time: 0.199, data_time: 0.007, memory: 52540, decode.loss_ce: 0.0381, decode.acc_seg: 89.4727, decode.kl_loss: 0.0594, loss: 0.0975 +2023-03-06 04:28:52,593 - mmseg - INFO - Iter [78700/160000] lr: 1.875e-05, eta: 5:26:36, time: 0.198, data_time: 0.007, memory: 52540, decode.loss_ce: 0.0392, decode.acc_seg: 89.2546, decode.kl_loss: 0.0585, loss: 0.0977 +2023-03-06 04:29:02,660 - mmseg - INFO - Iter [78750/160000] lr: 1.875e-05, eta: 5:26:22, time: 0.201, data_time: 0.007, memory: 52540, decode.loss_ce: 0.0371, decode.acc_seg: 89.5195, decode.kl_loss: 0.0583, loss: 0.0955 +2023-03-06 04:29:12,937 - mmseg - INFO - Iter [78800/160000] lr: 1.875e-05, eta: 5:26:08, time: 0.206, data_time: 0.008, memory: 52540, decode.loss_ce: 0.0383, decode.acc_seg: 89.4087, decode.kl_loss: 0.0602, loss: 0.0985 +2023-03-06 04:29:22,915 - mmseg - INFO - Iter [78850/160000] lr: 1.875e-05, eta: 5:25:54, time: 0.200, data_time: 0.007, memory: 52540, decode.loss_ce: 0.0383, decode.acc_seg: 89.4859, decode.kl_loss: 0.0570, loss: 0.0953 +2023-03-06 04:29:35,575 - mmseg - INFO - Iter [78900/160000] lr: 1.875e-05, eta: 5:25:42, time: 0.253, data_time: 0.055, memory: 52540, decode.loss_ce: 0.0373, decode.acc_seg: 89.6615, decode.kl_loss: 0.0575, loss: 0.0949 +2023-03-06 04:29:45,486 - mmseg - INFO - Iter [78950/160000] lr: 1.875e-05, eta: 5:25:28, time: 0.198, data_time: 0.007, memory: 52540, decode.loss_ce: 0.0389, decode.acc_seg: 89.2387, decode.kl_loss: 0.0593, loss: 0.0982 +2023-03-06 04:29:55,461 - mmseg - INFO - Exp name: ablation_segformer_mit_b2_segformer_head_unet_fc_small_multi_step_ade_pretrained_freeze_embed_160k_ade20k151_finetune_ema_ce.py +2023-03-06 04:29:55,461 - mmseg - INFO - Iter [79000/160000] lr: 1.875e-05, eta: 5:25:14, time: 0.199, data_time: 0.008, memory: 52540, decode.loss_ce: 0.0410, decode.acc_seg: 88.7540, decode.kl_loss: 0.0623, loss: 0.1033 +2023-03-06 04:30:05,741 - mmseg - INFO - Iter [79050/160000] lr: 1.875e-05, eta: 5:25:00, time: 0.206, data_time: 0.007, memory: 52540, decode.loss_ce: 0.0393, decode.acc_seg: 89.0504, decode.kl_loss: 0.0653, loss: 0.1046 +2023-03-06 04:30:15,644 - mmseg - INFO - Iter [79100/160000] lr: 1.875e-05, eta: 5:24:46, time: 0.198, data_time: 0.007, memory: 52540, decode.loss_ce: 0.0463, decode.acc_seg: 87.1608, decode.kl_loss: 0.0762, loss: 0.1225 +2023-03-06 04:30:25,659 - mmseg - INFO - Iter [79150/160000] lr: 1.875e-05, eta: 5:24:32, time: 0.200, data_time: 0.007, memory: 52540, decode.loss_ce: 0.0803, decode.acc_seg: 78.3537, decode.kl_loss: 0.1079, loss: 0.1883 +2023-03-06 04:30:35,697 - mmseg - INFO - Iter [79200/160000] lr: 1.875e-05, eta: 5:24:18, time: 0.201, data_time: 0.007, memory: 52540, decode.loss_ce: 0.0745, decode.acc_seg: 79.5763, decode.kl_loss: 0.1044, loss: 0.1789 +2023-03-06 04:30:45,802 - mmseg - INFO - Iter [79250/160000] lr: 1.875e-05, eta: 5:24:04, time: 0.202, data_time: 0.007, memory: 52540, decode.loss_ce: 0.0538, decode.acc_seg: 84.8435, decode.kl_loss: 0.0877, loss: 0.1415 +2023-03-06 04:30:56,123 - mmseg - INFO - Iter [79300/160000] lr: 1.875e-05, eta: 5:23:50, time: 0.207, data_time: 0.008, memory: 52540, decode.loss_ce: 0.0500, decode.acc_seg: 86.1882, decode.kl_loss: 0.0780, loss: 0.1280 +2023-03-06 04:31:06,169 - mmseg - INFO - Iter [79350/160000] lr: 1.875e-05, eta: 5:23:36, time: 0.201, data_time: 0.007, memory: 52540, decode.loss_ce: 0.0473, decode.acc_seg: 87.2970, decode.kl_loss: 0.0714, loss: 0.1187 +2023-03-06 04:31:16,263 - mmseg - INFO - Iter [79400/160000] lr: 1.875e-05, eta: 5:23:22, time: 0.202, data_time: 0.007, memory: 52540, decode.loss_ce: 0.0447, decode.acc_seg: 87.7559, decode.kl_loss: 0.0700, loss: 0.1147 +2023-03-06 04:31:26,875 - mmseg - INFO - Iter [79450/160000] lr: 1.875e-05, eta: 5:23:08, time: 0.212, data_time: 0.007, memory: 52540, decode.loss_ce: 0.0449, decode.acc_seg: 87.7875, decode.kl_loss: 0.0697, loss: 0.1146 +2023-03-06 04:31:37,142 - mmseg - INFO - Iter [79500/160000] lr: 1.875e-05, eta: 5:22:54, time: 0.205, data_time: 0.007, memory: 52540, decode.loss_ce: 0.0446, decode.acc_seg: 87.6778, decode.kl_loss: 0.0685, loss: 0.1132 +2023-03-06 04:31:49,741 - mmseg - INFO - Iter [79550/160000] lr: 1.875e-05, eta: 5:22:43, time: 0.252, data_time: 0.055, memory: 52540, decode.loss_ce: 0.0460, decode.acc_seg: 87.7789, decode.kl_loss: 0.0672, loss: 0.1132 +2023-03-06 04:31:59,789 - mmseg - INFO - Iter [79600/160000] lr: 1.875e-05, eta: 5:22:29, time: 0.201, data_time: 0.007, memory: 52540, decode.loss_ce: 0.0446, decode.acc_seg: 87.7413, decode.kl_loss: 0.0674, loss: 0.1119 +2023-03-06 04:32:09,887 - mmseg - INFO - Iter [79650/160000] lr: 1.875e-05, eta: 5:22:15, time: 0.202, data_time: 0.007, memory: 52540, decode.loss_ce: 0.0423, decode.acc_seg: 88.3432, decode.kl_loss: 0.0649, loss: 0.1071 +2023-03-06 04:32:19,851 - mmseg - INFO - Iter [79700/160000] lr: 1.875e-05, eta: 5:22:01, time: 0.199, data_time: 0.007, memory: 52540, decode.loss_ce: 0.0401, decode.acc_seg: 88.8854, decode.kl_loss: 0.0605, loss: 0.1006 +2023-03-06 04:32:30,003 - mmseg - INFO - Iter [79750/160000] lr: 1.875e-05, eta: 5:21:47, time: 0.203, data_time: 0.008, memory: 52540, decode.loss_ce: 0.0390, decode.acc_seg: 89.0838, decode.kl_loss: 0.0618, loss: 0.1008 +2023-03-06 04:32:39,923 - mmseg - INFO - Iter [79800/160000] lr: 1.875e-05, eta: 5:21:33, time: 0.198, data_time: 0.007, memory: 52540, decode.loss_ce: 0.0431, decode.acc_seg: 88.1858, decode.kl_loss: 0.0637, loss: 0.1068 +2023-03-06 04:32:50,173 - mmseg - INFO - Iter [79850/160000] lr: 1.875e-05, eta: 5:21:19, time: 0.205, data_time: 0.008, memory: 52540, decode.loss_ce: 0.0408, decode.acc_seg: 88.8375, decode.kl_loss: 0.0612, loss: 0.1019 +2023-03-06 04:33:00,310 - mmseg - INFO - Iter [79900/160000] lr: 1.875e-05, eta: 5:21:05, time: 0.203, data_time: 0.007, memory: 52540, decode.loss_ce: 0.0419, decode.acc_seg: 88.4767, decode.kl_loss: 0.0621, loss: 0.1040 +2023-03-06 04:33:10,257 - mmseg - INFO - Iter [79950/160000] lr: 1.875e-05, eta: 5:20:51, time: 0.199, data_time: 0.007, memory: 52540, decode.loss_ce: 0.0400, decode.acc_seg: 88.9927, decode.kl_loss: 0.0603, loss: 0.1003 +2023-03-06 04:33:20,408 - mmseg - INFO - Swap parameters (after train) after iter [80000] +2023-03-06 04:33:20,421 - mmseg - INFO - Saving checkpoint at 80000 iterations +2023-03-06 04:33:21,661 - mmseg - INFO - Exp name: ablation_segformer_mit_b2_segformer_head_unet_fc_small_multi_step_ade_pretrained_freeze_embed_160k_ade20k151_finetune_ema_ce.py +2023-03-06 04:33:21,662 - mmseg - INFO - Iter [80000/160000] lr: 1.875e-05, eta: 5:20:38, time: 0.228, data_time: 0.007, memory: 52540, decode.loss_ce: 0.0394, decode.acc_seg: 89.1848, decode.kl_loss: 0.0593, loss: 0.0987 +2023-03-06 04:44:19,676 - mmseg - INFO - per class results: +2023-03-06 04:44:19,684 - mmseg - INFO - ++---------------------+-------------------------------------------------------------------+ +| Class | IoU 0,10,20,30,40,50,60,70,80,90,99 | ++---------------------+-------------------------------------------------------------------+ +| background | nan,nan,nan,nan,nan,nan,nan,nan,nan,nan,nan | +| wall | 75.11,75.31,75.31,75.29,75.28,75.27,75.25,75.24,75.24,75.21,75.13 | +| building | 80.57,80.67,80.68,80.67,80.66,80.66,80.65,80.64,80.61,80.58,80.51 | +| sky | 93.89,93.95,93.96,93.94,93.94,93.94,93.92,93.91,93.89,93.86,93.79 | +| floor | 79.55,79.76,79.74,79.71,79.68,79.66,79.63,79.61,79.57,79.5,79.38 | +| tree | 72.0,72.21,72.24,72.22,72.22,72.21,72.2,72.17,72.1,72.02,71.83 | +| ceiling | 83.16,83.37,83.37,83.35,83.34,83.31,83.28,83.25,83.22,83.15,83.08 | +| road | 80.22,80.41,80.39,80.38,80.39,80.35,80.33,80.29,80.26,80.19,80.08 | +| bed | 85.44,85.61,85.62,85.63,85.65,85.64,85.58,85.59,85.53,85.49,85.38 | +| windowpane | 57.06,57.51,57.49,57.48,57.46,57.44,57.37,57.3,57.24,57.09,56.78 | +| grass | 64.06,64.17,64.15,64.14,64.09,64.02,63.97,63.94,63.88,63.86,63.66 | +| cabinet | 58.19,58.51,58.46,58.48,58.48,58.48,58.37,58.32,58.22,58.08,57.88 | +| sidewalk | 58.93,59.32,59.27,59.23,59.22,59.14,59.03,58.96,58.87,58.69,58.42 | +| person | 76.07,76.46,76.41,76.33,76.3,76.23,76.17,76.07,75.98,75.85,75.58 | +| earth | 34.55,34.75,34.77,34.73,34.69,34.65,34.6,34.61,34.57,34.51,34.41 | +| door | 41.91,42.3,42.29,42.32,42.28,42.25,42.2,42.22,42.18,42.19,42.15 | +| table | 55.08,55.55,55.54,55.52,55.54,55.49,55.4,55.38,55.25,55.05,54.72 | +| mountain | 55.24,55.43,55.47,55.49,55.48,55.46,55.42,55.43,55.43,55.46,55.49 | +| plant | 48.2,48.41,48.42,48.43,48.4,48.41,48.37,48.37,48.36,48.35,48.29 | +| curtain | 71.7,72.12,72.15,72.17,72.17,72.17,72.15,72.04,72.01,71.88,71.58 | +| chair | 49.98,50.57,50.52,50.43,50.35,50.24,50.08,49.95,49.76,49.48,49.08 | +| car | 80.54,80.69,80.76,80.73,80.75,80.75,80.72,80.72,80.6,80.5,80.38 | +| water | 57.21,57.08,57.2,57.25,57.24,57.31,57.3,57.35,57.37,57.34,57.31 | +| painting | 64.67,65.5,65.42,65.3,65.12,64.92,64.73,64.56,64.33,63.96,63.23 | +| sofa | 60.66,61.04,60.99,61.02,61.03,60.99,60.93,60.9,60.85,60.72,60.52 | +| shelf | 42.15,42.71,42.67,42.64,42.58,42.64,42.55,42.47,42.39,42.2,41.9 | +| house | 38.57,38.88,38.88,38.89,38.89,38.9,38.96,38.99,39.17,39.43,39.7 | +| sea | 59.97,60.08,60.16,60.23,60.28,60.31,60.3,60.34,60.32,60.24,60.21 | +| mirror | 59.58,60.02,60.04,60.01,59.97,59.94,59.88,59.87,59.85,59.85,59.94 | +| rug | 59.43,59.76,59.77,59.75,59.73,59.69,59.71,59.83,59.88,59.85,59.76 | +| field | 29.54,29.72,29.72,29.74,29.73,29.71,29.68,29.66,29.61,29.58,29.55 | +| armchair | 34.44,34.84,34.81,34.89,34.93,34.92,34.9,34.84,34.78,34.69,34.53 | +| seat | 64.61,65.0,64.95,64.95,64.91,64.81,64.84,64.73,64.64,64.57,64.4 | +| fence | 37.36,37.75,37.73,37.75,37.84,37.74,37.91,38.06,38.17,38.33,38.39 | +| desk | 44.76,44.98,44.93,45.13,45.15,45.2,45.15,45.11,45.0,44.9,44.72 | +| rock | 36.48,36.62,36.59,36.51,36.47,36.41,36.34,36.31,36.33,36.28,36.25 | +| wardrobe | 54.01,54.37,54.45,54.56,54.56,54.57,54.52,54.42,54.31,54.2,54.04 | +| lamp | 55.63,56.17,56.13,56.07,55.95,55.89,55.88,55.87,55.7,55.62,55.29 | +| bathtub | 73.29,73.34,73.3,73.29,73.25,73.34,73.34,73.33,73.25,73.24,73.27 | +| railing | 33.15,33.26,33.42,33.44,33.42,33.46,33.5,33.4,33.46,33.31,33.24 | +| cushion | 49.61,50.19,50.14,50.04,49.97,49.93,49.98,49.85,49.67,49.46,49.07 | +| base | 20.01,20.32,20.2,20.13,20.03,20.11,20.14,20.09,20.08,20.13,20.13 | +| box | 20.92,21.1,21.14,21.12,21.17,21.18,21.08,21.08,21.11,20.96,20.9 | +| column | 41.78,42.22,42.28,42.31,42.39,42.45,42.47,42.47,42.43,42.46,42.33 | +| signboard | 33.33,33.96,33.89,33.82,33.93,33.85,34.03,34.04,34.24,34.21,34.3 | +| chest of drawers | 35.14,35.18,35.0,35.23,35.3,35.27,35.35,35.27,35.31,35.19,35.01 | +| counter | 28.8,29.25,29.21,29.25,29.38,29.47,29.29,29.27,29.27,29.01,28.76 | +| sand | 37.39,37.75,37.79,37.92,37.88,37.9,37.94,37.91,38.05,38.19,38.24 | +| sink | 63.22,63.56,63.5,63.54,63.55,63.45,63.52,63.37,63.23,63.26,63.08 | +| skyscraper | 53.68,52.66,52.56,52.58,52.52,52.7,52.86,53.1,53.25,53.43,53.52 | +| fireplace | 72.78,73.13,73.25,73.25,73.52,73.42,73.34,73.21,73.06,72.78,72.55 | +| refrigerator | 70.33,70.49,70.67,70.57,70.56,70.53,70.62,70.5,70.56,70.61,70.6 | +| grandstand | 48.9,48.48,48.34,48.36,48.26,48.32,48.4,48.33,48.18,48.15,48.05 | +| path | 20.05,20.14,20.14,20.12,20.21,20.23,20.25,20.19,20.31,20.32,20.35 | +| stairs | 31.46,31.19,31.16,31.06,31.01,30.91,31.0,30.97,30.92,30.97,31.0 | +| runway | 62.67,62.94,62.97,63.01,63.03,63.01,63.06,63.04,63.01,62.97,62.67 | +| case | 45.26,45.95,45.89,45.97,45.95,45.99,46.01,45.98,45.96,45.89,45.82 | +| pool table | 90.29,90.34,90.34,90.36,90.34,90.32,90.29,90.32,90.35,90.34,90.37 | +| pillow | 50.29,50.89,50.74,50.78,50.67,50.63,50.63,50.55,50.35,50.25,50.02 | +| screen door | 62.81,63.08,63.23,63.48,63.35,63.19,63.21,63.22,63.24,63.32,63.29 | +| stairway | 22.43,22.73,22.79,22.71,22.73,22.68,22.64,22.65,22.75,22.82,22.91 | +| river | 11.5,11.42,11.43,11.42,11.39,11.42,11.4,11.42,11.43,11.4,11.43 | +| bridge | 34.19,33.78,33.95,33.96,34.18,34.24,34.37,34.49,34.67,34.78,34.81 | +| bookcase | 42.77,43.76,43.76,43.84,43.71,43.72,43.51,43.49,43.51,43.28,42.95 | +| blind | 33.48,33.91,33.97,33.83,33.7,33.67,33.68,33.71,33.86,34.04,34.12 | +| coffee table | 52.22,52.62,52.58,52.63,52.64,52.58,52.65,52.41,52.21,51.9,51.66 | +| toilet | 79.95,79.96,80.07,80.02,80.01,80.04,80.09,80.06,80.02,79.91,79.75 | +| flower | 36.57,36.76,36.78,36.82,36.79,36.67,36.71,36.65,36.73,36.83,36.76 | +| book | 39.89,40.41,40.36,40.32,40.3,40.21,40.15,39.99,39.96,39.91,39.83 | +| hill | 12.58,12.66,12.64,12.66,12.62,12.67,12.65,12.81,12.93,13.16,13.15 | +| bench | 40.3,41.07,41.06,40.94,40.86,40.78,40.72,40.52,40.44,40.22,40.06 | +| countertop | 50.27,50.41,50.45,50.36,50.45,50.41,50.45,50.28,50.28,50.29,50.28 | +| stove | 68.49,68.78,68.79,68.76,68.84,68.86,68.85,68.67,68.67,68.64,68.52 | +| palm | 47.0,47.26,47.19,47.21,47.12,47.25,47.1,47.1,47.12,47.02,46.97 | +| kitchen island | 34.34,34.68,34.72,34.81,34.86,34.87,34.79,34.67,34.59,34.5,34.47 | +| computer | 55.97,56.43,56.4,56.46,56.46,56.4,56.29,56.26,56.21,56.19,56.07 | +| swivel chair | 41.95,42.0,42.03,41.91,42.07,42.18,42.06,42.32,42.23,42.37,42.34 | +| boat | 63.99,64.39,64.42,64.78,64.85,64.86,65.14,65.02,65.11,64.92,64.76 | +| bar | 21.77,21.79,21.88,21.96,21.96,22.03,22.03,22.01,22.13,22.25,22.32 | +| arcade machine | 68.77,69.27,69.24,69.44,69.53,69.73,70.03,70.28,70.74,71.1,71.26 | +| hovel | 28.43,26.87,26.75,27.09,27.33,27.7,28.07,28.56,29.2,29.61,29.89 | +| bus | 76.93,76.67,76.65,76.77,76.86,76.83,76.96,77.02,76.85,76.87,76.76 | +| towel | 56.57,56.88,56.89,57.12,57.16,57.22,57.35,57.22,57.22,57.09,57.04 | +| light | 43.92,43.91,43.78,44.17,44.23,44.43,44.61,44.58,44.64,44.93,45.27 | +| truck | 20.87,20.93,20.62,20.82,20.72,20.83,20.96,21.02,21.03,20.86,20.75 | +| tower | 12.38,12.27,12.3,12.32,12.42,12.38,12.41,12.43,12.45,12.46,12.47 | +| chandelier | 61.03,61.34,61.39,61.43,61.01,61.0,60.92,61.03,60.95,61.0,60.85 | +| awning | 19.79,19.91,19.79,19.85,19.85,19.82,19.76,19.83,19.83,19.89,20.08 | +| streetlight | 20.54,20.32,20.37,20.39,20.39,20.65,20.65,20.75,20.73,20.84,20.83 | +| booth | 37.15,36.96,36.68,36.44,36.7,36.74,36.61,37.05,37.38,37.47,37.73 | +| television receiver | 62.44,62.86,62.81,62.87,62.94,62.81,62.93,62.9,62.73,62.69,62.74 | +| airplane | 55.79,55.7,55.79,55.7,55.76,55.87,55.74,55.93,55.75,55.85,55.88 | +| dirt track | 16.07,16.99,17.07,17.35,17.34,17.13,17.22,17.26,16.92,17.16,17.22 | +| apparel | 33.48,33.94,34.04,34.01,33.99,33.78,33.66,33.65,33.44,33.29,33.03 | +| pole | 12.69,13.88,13.75,13.59,13.56,13.48,13.3,13.24,13.05,12.93,12.67 | +| land | 2.5,2.71,2.61,2.68,2.69,2.56,2.56,2.64,2.59,2.53,2.55 | +| bannister | 10.09,10.08,10.1,10.03,10.17,10.08,10.05,10.02,10.15,10.13,10.26 | +| escalator | 23.25,23.45,23.59,23.56,23.47,23.65,23.67,23.71,24.0,24.1,24.21 | +| ottoman | 37.36,37.97,38.03,37.99,37.98,37.72,37.63,37.56,37.49,37.41,37.3 | +| bottle | 29.68,29.4,29.41,29.3,29.54,29.64,29.5,29.36,29.52,29.69,30.14 | +| buffet | 33.74,34.05,34.09,34.1,34.24,34.4,34.35,34.92,35.09,35.41,35.93 | +| poster | 20.75,20.65,20.8,20.8,20.82,20.74,20.67,20.67,20.75,20.7,20.69 | +| stage | 12.54,12.45,12.35,12.28,12.25,12.24,12.24,12.22,12.27,12.35,12.41 | +| van | 37.62,37.79,37.56,37.38,37.51,37.37,37.52,37.67,37.68,37.51,37.46 | +| ship | 77.27,77.35,77.54,77.68,77.99,78.1,78.35,78.58,78.36,78.57,78.32 | +| fountain | 8.68,8.74,8.44,8.43,8.24,8.11,7.93,8.27,8.53,8.89,9.36 | +| conveyer belt | 76.35,77.11,77.3,77.27,77.18,77.58,77.53,77.64,77.68,77.6,77.58 | +| canopy | 22.86,23.16,23.19,23.23,23.18,23.1,23.24,23.26,23.2,23.06,22.91 | +| washer | 76.28,76.1,76.15,75.85,76.01,75.85,76.04,76.13,76.51,76.93,77.26 | +| plaything | 17.45,18.09,18.08,18.05,17.99,17.8,17.91,17.67,17.66,17.71,17.69 | +| swimming pool | 69.58,69.96,70.23,70.26,70.23,70.67,70.61,70.81,70.83,70.96,71.03 | +| stool | 34.28,34.93,34.99,34.97,35.05,34.92,34.84,34.74,34.72,34.67,34.55 | +| barrel | 34.53,31.49,32.67,33.71,35.06,36.23,37.16,37.27,37.94,38.51,38.7 | +| basket | 21.47,22.21,22.14,22.07,21.97,21.74,21.74,21.72,21.66,21.58,21.51 | +| waterfall | 51.53,51.64,52.19,51.54,51.56,51.56,51.2,51.04,50.92,50.77,50.5 | +| tent | 89.73,90.68,90.8,90.79,90.82,90.87,90.59,90.53,90.16,90.04,89.66 | +| bag | 10.47,9.78,10.06,10.09,10.25,10.4,10.47,10.57,10.74,10.65,10.8 | +| minibike | 54.53,56.7,56.84,57.44,57.4,56.85,57.5,57.4,57.51,57.55,57.61 | +| cradle | 79.75,79.95,79.95,79.86,80.19,79.97,79.97,80.07,80.21,80.12,80.09 | +| oven | 42.21,43.36,43.53,43.5,43.53,43.72,43.93,43.88,44.03,43.85,44.02 | +| ball | 39.38,39.59,39.51,39.4,39.22,39.14,39.16,39.23,39.32,39.22,38.99 | +| food | 48.11,48.58,48.87,48.94,49.18,49.38,49.63,50.02,50.17,50.19,49.93 | +| step | 8.51,8.46,8.67,8.58,8.71,8.72,8.6,8.4,8.42,8.17,8.11 | +| tank | 48.77,49.03,49.08,48.96,48.73,48.46,48.31,48.24,48.21,48.18,48.35 | +| trade name | 24.18,24.08,24.26,24.35,24.38,24.3,24.49,24.25,24.29,24.45,24.67 | +| microwave | 70.92,71.57,71.73,71.68,71.76,71.89,72.13,72.27,72.13,72.27,72.36 | +| pot | 24.26,24.7,24.76,24.93,25.01,24.84,24.85,25.0,25.04,25.24,25.5 | +| animal | 52.49,52.88,52.99,53.02,52.99,52.97,52.99,53.02,53.01,52.96,53.03 | +| bicycle | 48.73,48.64,48.57,48.84,49.05,48.98,49.07,49.12,49.49,49.34,49.08 | +| lake | 56.3,56.53,56.47,56.51,56.53,56.57,56.67,56.61,56.59,56.6,56.59 | +| dishwasher | 60.66,60.63,60.82,60.63,60.91,61.19,60.8,60.71,60.6,60.35,60.07 | +| screen | 63.09,64.24,64.2,64.06,64.24,64.23,64.07,64.0,63.97,63.87,63.84 | +| blanket | 14.14,13.74,13.87,13.88,14.06,14.22,14.34,14.42,14.57,14.65,14.69 | +| sculpture | 55.57,55.85,55.96,55.79,56.26,56.08,55.67,55.48,55.1,54.7,54.41 | +| hood | 54.2,54.36,54.69,54.87,55.33,55.46,55.22,55.49,55.48,55.51,55.45 | +| sconce | 37.21,36.91,37.31,37.53,37.97,38.0,38.32,38.21,38.58,38.43,38.43 | +| vase | 30.45,31.05,30.86,31.06,30.96,30.73,31.02,30.79,31.05,31.03,31.01 | +| traffic light | 26.59,26.72,26.78,26.9,26.74,26.84,26.83,26.84,27.06,26.8,26.52 | +| tray | 5.42,5.37,5.47,5.45,5.45,5.43,5.5,5.66,5.71,5.68,5.65 | +| ashcan | 32.8,34.0,33.94,33.75,33.9,34.0,33.83,33.71,33.44,33.14,33.07 | +| fan | 53.45,53.63,53.95,54.22,53.87,54.21,54.1,54.22,54.29,54.6,54.6 | +| pier | 27.79,31.03,31.08,31.12,31.01,30.53,30.22,30.35,30.37,30.84,30.85 | +| crt screen | 3.69,4.49,4.42,4.3,4.35,4.13,4.04,4.11,4.2,4.62,4.79 | +| plate | 36.17,38.39,38.88,39.21,39.87,39.73,40.45,41.02,41.5,42.11,42.24 | +| monitor | 13.01,12.1,11.75,11.22,11.23,10.58,10.24,10.49,10.58,10.75,11.08 | +| bulletin board | 29.73,31.25,31.24,31.36,31.22,31.2,31.17,31.04,30.98,31.03,31.16 | +| shower | 0.52,0.41,0.44,0.39,0.39,0.4,0.39,0.4,0.47,0.48,0.56 | +| radiator | 54.89,53.34,53.67,54.28,54.82,55.29,55.31,55.95,56.43,56.53,56.59 | +| glass | 9.74,9.66,9.73,9.85,9.8,9.84,9.86,10.08,10.22,10.25,10.31 | +| clock | 30.42,30.91,31.32,31.33,31.45,31.54,31.72,31.64,31.61,31.69,31.42 | +| flag | 32.13,32.4,32.43,32.48,32.71,32.62,32.7,32.82,33.12,33.25,33.39 | ++---------------------+-------------------------------------------------------------------+ +2023-03-06 04:44:19,685 - mmseg - INFO - Summary: +2023-03-06 04:44:19,685 - mmseg - INFO - ++-------------------------------------------------------------------+ +| mIoU 0,10,20,30,40,50,60,70,80,90,99 | ++-------------------------------------------------------------------+ +| 44.87,45.13,45.16,45.18,45.22,45.22,45.23,45.24,45.26,45.25,45.21 | ++-------------------------------------------------------------------+ +2023-03-06 04:44:19,686 - mmseg - INFO - Exp name: ablation_segformer_mit_b2_segformer_head_unet_fc_small_multi_step_ade_pretrained_freeze_embed_160k_ade20k151_finetune_ema_ce.py +2023-03-06 04:44:19,686 - mmseg - INFO - Iter(val) [250] mIoU: [0.4487, 0.4513, 0.4516, 0.4518, 0.4522, 0.4522, 0.4523, 0.4524, 0.4526, 0.4525, 0.4521], copy_paste: 44.87,45.13,45.16,45.18,45.22,45.22,45.23,45.24,45.26,45.25,45.21 +2023-03-06 04:44:19,694 - mmseg - INFO - Swap parameters (before train) before iter [80001] +2023-03-06 04:44:30,137 - mmseg - INFO - Iter [80050/160000] lr: 9.375e-06, eta: 5:31:22, time: 13.369, data_time: 13.168, memory: 52540, decode.loss_ce: 0.0387, decode.acc_seg: 89.3942, decode.kl_loss: 0.0571, loss: 0.0959 +2023-03-06 04:44:40,223 - mmseg - INFO - Iter [80100/160000] lr: 9.375e-06, eta: 5:31:07, time: 0.202, data_time: 0.007, memory: 52540, decode.loss_ce: 0.0371, decode.acc_seg: 89.8795, decode.kl_loss: 0.0551, loss: 0.0922 +2023-03-06 04:44:52,819 - mmseg - INFO - Iter [80150/160000] lr: 9.375e-06, eta: 5:30:55, time: 0.252, data_time: 0.056, memory: 52540, decode.loss_ce: 0.0376, decode.acc_seg: 89.5633, decode.kl_loss: 0.0563, loss: 0.0939 +2023-03-06 04:45:03,012 - mmseg - INFO - Iter [80200/160000] lr: 9.375e-06, eta: 5:30:40, time: 0.204, data_time: 0.007, memory: 52540, decode.loss_ce: 0.0383, decode.acc_seg: 89.3537, decode.kl_loss: 0.0580, loss: 0.0963 +2023-03-06 04:45:13,192 - mmseg - INFO - Iter [80250/160000] lr: 9.375e-06, eta: 5:30:26, time: 0.204, data_time: 0.008, memory: 52540, decode.loss_ce: 0.0385, decode.acc_seg: 89.3312, decode.kl_loss: 0.0585, loss: 0.0970 +2023-03-06 04:45:23,208 - mmseg - INFO - Iter [80300/160000] lr: 9.375e-06, eta: 5:30:11, time: 0.200, data_time: 0.008, memory: 52540, decode.loss_ce: 0.0383, decode.acc_seg: 89.4303, decode.kl_loss: 0.0578, loss: 0.0961 +2023-03-06 04:45:33,290 - mmseg - INFO - Iter [80350/160000] lr: 9.375e-06, eta: 5:29:56, time: 0.202, data_time: 0.007, memory: 52540, decode.loss_ce: 0.0380, decode.acc_seg: 89.4832, decode.kl_loss: 0.0570, loss: 0.0950 +2023-03-06 04:45:43,473 - mmseg - INFO - Iter [80400/160000] lr: 9.375e-06, eta: 5:29:41, time: 0.204, data_time: 0.007, memory: 52540, decode.loss_ce: 0.0380, decode.acc_seg: 89.6178, decode.kl_loss: 0.0553, loss: 0.0933 +2023-03-06 04:45:53,615 - mmseg - INFO - Iter [80450/160000] lr: 9.375e-06, eta: 5:29:27, time: 0.203, data_time: 0.008, memory: 52540, decode.loss_ce: 0.0375, decode.acc_seg: 89.6034, decode.kl_loss: 0.0570, loss: 0.0945 +2023-03-06 04:46:03,701 - mmseg - INFO - Iter [80500/160000] lr: 9.375e-06, eta: 5:29:12, time: 0.202, data_time: 0.007, memory: 52540, decode.loss_ce: 0.0386, decode.acc_seg: 89.3552, decode.kl_loss: 0.0562, loss: 0.0948 +2023-03-06 04:46:14,020 - mmseg - INFO - Iter [80550/160000] lr: 9.375e-06, eta: 5:28:57, time: 0.206, data_time: 0.007, memory: 52540, decode.loss_ce: 0.0367, decode.acc_seg: 89.8870, decode.kl_loss: 0.0534, loss: 0.0901 +2023-03-06 04:46:24,266 - mmseg - INFO - Iter [80600/160000] lr: 9.375e-06, eta: 5:28:43, time: 0.205, data_time: 0.007, memory: 52540, decode.loss_ce: 0.0382, decode.acc_seg: 89.5611, decode.kl_loss: 0.0560, loss: 0.0941 +2023-03-06 04:46:34,508 - mmseg - INFO - Iter [80650/160000] lr: 9.375e-06, eta: 5:28:28, time: 0.205, data_time: 0.007, memory: 52540, decode.loss_ce: 0.0354, decode.acc_seg: 89.9928, decode.kl_loss: 0.0567, loss: 0.0920 +2023-03-06 04:46:44,460 - mmseg - INFO - Iter [80700/160000] lr: 9.375e-06, eta: 5:28:13, time: 0.199, data_time: 0.007, memory: 52540, decode.loss_ce: 0.0376, decode.acc_seg: 89.6113, decode.kl_loss: 0.0560, loss: 0.0937 +2023-03-06 04:46:55,040 - mmseg - INFO - Iter [80750/160000] lr: 9.375e-06, eta: 5:27:59, time: 0.211, data_time: 0.007, memory: 52540, decode.loss_ce: 0.0366, decode.acc_seg: 89.8348, decode.kl_loss: 0.0540, loss: 0.0905 +2023-03-06 04:47:07,505 - mmseg - INFO - Iter [80800/160000] lr: 9.375e-06, eta: 5:27:47, time: 0.250, data_time: 0.055, memory: 52540, decode.loss_ce: 0.0382, decode.acc_seg: 89.4799, decode.kl_loss: 0.0560, loss: 0.0942 +2023-03-06 04:47:17,670 - mmseg - INFO - Iter [80850/160000] lr: 9.375e-06, eta: 5:27:32, time: 0.203, data_time: 0.008, memory: 52540, decode.loss_ce: 0.0374, decode.acc_seg: 89.7016, decode.kl_loss: 0.0585, loss: 0.0959 +2023-03-06 04:47:27,775 - mmseg - INFO - Iter [80900/160000] lr: 9.375e-06, eta: 5:27:18, time: 0.202, data_time: 0.007, memory: 52540, decode.loss_ce: 0.0364, decode.acc_seg: 89.6306, decode.kl_loss: 0.0580, loss: 0.0945 +2023-03-06 04:47:37,903 - mmseg - INFO - Iter [80950/160000] lr: 9.375e-06, eta: 5:27:03, time: 0.203, data_time: 0.007, memory: 52540, decode.loss_ce: 0.0365, decode.acc_seg: 89.8690, decode.kl_loss: 0.0567, loss: 0.0932 +2023-03-06 04:47:48,087 - mmseg - INFO - Exp name: ablation_segformer_mit_b2_segformer_head_unet_fc_small_multi_step_ade_pretrained_freeze_embed_160k_ade20k151_finetune_ema_ce.py +2023-03-06 04:47:48,087 - mmseg - INFO - Iter [81000/160000] lr: 9.375e-06, eta: 5:26:48, time: 0.204, data_time: 0.007, memory: 52540, decode.loss_ce: 0.0358, decode.acc_seg: 89.9859, decode.kl_loss: 0.0559, loss: 0.0917 +2023-03-06 04:47:58,245 - mmseg - INFO - Iter [81050/160000] lr: 9.375e-06, eta: 5:26:34, time: 0.203, data_time: 0.007, memory: 52540, decode.loss_ce: 0.0359, decode.acc_seg: 89.9737, decode.kl_loss: 0.0543, loss: 0.0901 +2023-03-06 04:48:08,396 - mmseg - INFO - Iter [81100/160000] lr: 9.375e-06, eta: 5:26:19, time: 0.203, data_time: 0.008, memory: 52540, decode.loss_ce: 0.0377, decode.acc_seg: 89.8332, decode.kl_loss: 0.0539, loss: 0.0916 +2023-03-06 04:48:18,334 - mmseg - INFO - Iter [81150/160000] lr: 9.375e-06, eta: 5:26:04, time: 0.199, data_time: 0.007, memory: 52540, decode.loss_ce: 0.0380, decode.acc_seg: 89.5912, decode.kl_loss: 0.0543, loss: 0.0923 +2023-03-06 04:48:28,618 - mmseg - INFO - Iter [81200/160000] lr: 9.375e-06, eta: 5:25:50, time: 0.205, data_time: 0.007, memory: 52540, decode.loss_ce: 0.0348, decode.acc_seg: 90.2751, decode.kl_loss: 0.0544, loss: 0.0893 +2023-03-06 04:48:38,744 - mmseg - INFO - Iter [81250/160000] lr: 9.375e-06, eta: 5:25:35, time: 0.203, data_time: 0.008, memory: 52540, decode.loss_ce: 0.0372, decode.acc_seg: 89.5240, decode.kl_loss: 0.0575, loss: 0.0947 +2023-03-06 04:48:48,978 - mmseg - INFO - Iter [81300/160000] lr: 9.375e-06, eta: 5:25:21, time: 0.205, data_time: 0.007, memory: 52540, decode.loss_ce: 0.0378, decode.acc_seg: 89.5022, decode.kl_loss: 0.0586, loss: 0.0963 +2023-03-06 04:48:59,101 - mmseg - INFO - Iter [81350/160000] lr: 9.375e-06, eta: 5:25:06, time: 0.202, data_time: 0.008, memory: 52540, decode.loss_ce: 0.0370, decode.acc_seg: 89.5852, decode.kl_loss: 0.0581, loss: 0.0951 +2023-03-06 04:49:11,805 - mmseg - INFO - Iter [81400/160000] lr: 9.375e-06, eta: 5:24:54, time: 0.254, data_time: 0.055, memory: 52540, decode.loss_ce: 0.0362, decode.acc_seg: 90.0001, decode.kl_loss: 0.0581, loss: 0.0942 +2023-03-06 04:49:21,923 - mmseg - INFO - Iter [81450/160000] lr: 9.375e-06, eta: 5:24:39, time: 0.202, data_time: 0.007, memory: 52540, decode.loss_ce: 0.0371, decode.acc_seg: 89.5485, decode.kl_loss: 0.0587, loss: 0.0958 +2023-03-06 04:49:31,922 - mmseg - INFO - Iter [81500/160000] lr: 9.375e-06, eta: 5:24:25, time: 0.200, data_time: 0.007, memory: 52540, decode.loss_ce: 0.0371, decode.acc_seg: 89.5133, decode.kl_loss: 0.0585, loss: 0.0956 +2023-03-06 04:49:41,861 - mmseg - INFO - Iter [81550/160000] lr: 9.375e-06, eta: 5:24:10, time: 0.199, data_time: 0.007, memory: 52540, decode.loss_ce: 0.0353, decode.acc_seg: 90.0155, decode.kl_loss: 0.0560, loss: 0.0914 +2023-03-06 04:49:51,915 - mmseg - INFO - Iter [81600/160000] lr: 9.375e-06, eta: 5:23:55, time: 0.201, data_time: 0.007, memory: 52540, decode.loss_ce: 0.0380, decode.acc_seg: 89.4583, decode.kl_loss: 0.0563, loss: 0.0944 +2023-03-06 04:50:02,099 - mmseg - INFO - Iter [81650/160000] lr: 9.375e-06, eta: 5:23:41, time: 0.204, data_time: 0.007, memory: 52540, decode.loss_ce: 0.0383, decode.acc_seg: 89.4045, decode.kl_loss: 0.0588, loss: 0.0970 +2023-03-06 04:50:12,304 - mmseg - INFO - Iter [81700/160000] lr: 9.375e-06, eta: 5:23:26, time: 0.204, data_time: 0.007, memory: 52540, decode.loss_ce: 0.0372, decode.acc_seg: 89.5824, decode.kl_loss: 0.0601, loss: 0.0972 +2023-03-06 04:50:22,312 - mmseg - INFO - Iter [81750/160000] lr: 9.375e-06, eta: 5:23:12, time: 0.200, data_time: 0.007, memory: 52540, decode.loss_ce: 0.0368, decode.acc_seg: 89.7763, decode.kl_loss: 0.0556, loss: 0.0923 +2023-03-06 04:50:32,475 - mmseg - INFO - Iter [81800/160000] lr: 9.375e-06, eta: 5:22:57, time: 0.203, data_time: 0.007, memory: 52540, decode.loss_ce: 0.0377, decode.acc_seg: 89.4993, decode.kl_loss: 0.0586, loss: 0.0964 +2023-03-06 04:50:42,655 - mmseg - INFO - Iter [81850/160000] lr: 9.375e-06, eta: 5:22:43, time: 0.204, data_time: 0.007, memory: 52540, decode.loss_ce: 0.0357, decode.acc_seg: 90.0195, decode.kl_loss: 0.0578, loss: 0.0935 +2023-03-06 04:50:52,799 - mmseg - INFO - Iter [81900/160000] lr: 9.375e-06, eta: 5:22:28, time: 0.203, data_time: 0.007, memory: 52540, decode.loss_ce: 0.0382, decode.acc_seg: 89.3486, decode.kl_loss: 0.0592, loss: 0.0974 +2023-03-06 04:51:03,058 - mmseg - INFO - Iter [81950/160000] lr: 9.375e-06, eta: 5:22:14, time: 0.205, data_time: 0.007, memory: 52540, decode.loss_ce: 0.0396, decode.acc_seg: 89.0675, decode.kl_loss: 0.0605, loss: 0.1001 +2023-03-06 04:51:13,468 - mmseg - INFO - Exp name: ablation_segformer_mit_b2_segformer_head_unet_fc_small_multi_step_ade_pretrained_freeze_embed_160k_ade20k151_finetune_ema_ce.py +2023-03-06 04:51:13,468 - mmseg - INFO - Iter [82000/160000] lr: 9.375e-06, eta: 5:21:59, time: 0.208, data_time: 0.007, memory: 52540, decode.loss_ce: 0.0370, decode.acc_seg: 89.6273, decode.kl_loss: 0.0602, loss: 0.0972 +2023-03-06 04:51:26,258 - mmseg - INFO - Iter [82050/160000] lr: 9.375e-06, eta: 5:21:47, time: 0.255, data_time: 0.054, memory: 52540, decode.loss_ce: 0.0397, decode.acc_seg: 89.0002, decode.kl_loss: 0.0611, loss: 0.1008 +2023-03-06 04:51:36,665 - mmseg - INFO - Iter [82100/160000] lr: 9.375e-06, eta: 5:21:33, time: 0.208, data_time: 0.007, memory: 52540, decode.loss_ce: 0.0400, decode.acc_seg: 88.8789, decode.kl_loss: 0.0617, loss: 0.1017 +2023-03-06 04:51:47,232 - mmseg - INFO - Iter [82150/160000] lr: 9.375e-06, eta: 5:21:19, time: 0.211, data_time: 0.007, memory: 52540, decode.loss_ce: 0.0407, decode.acc_seg: 88.6075, decode.kl_loss: 0.0627, loss: 0.1035 +2023-03-06 04:51:57,451 - mmseg - INFO - Iter [82200/160000] lr: 9.375e-06, eta: 5:21:05, time: 0.204, data_time: 0.007, memory: 52540, decode.loss_ce: 0.0410, decode.acc_seg: 88.5236, decode.kl_loss: 0.0650, loss: 0.1061 +2023-03-06 04:52:07,413 - mmseg - INFO - Iter [82250/160000] lr: 9.375e-06, eta: 5:20:50, time: 0.199, data_time: 0.007, memory: 52540, decode.loss_ce: 0.0387, decode.acc_seg: 89.2171, decode.kl_loss: 0.0611, loss: 0.0998 +2023-03-06 04:52:17,496 - mmseg - INFO - Iter [82300/160000] lr: 9.375e-06, eta: 5:20:35, time: 0.202, data_time: 0.007, memory: 52540, decode.loss_ce: 0.0392, decode.acc_seg: 88.9661, decode.kl_loss: 0.0624, loss: 0.1016 +2023-03-06 04:52:27,774 - mmseg - INFO - Iter [82350/160000] lr: 9.375e-06, eta: 5:20:21, time: 0.206, data_time: 0.007, memory: 52540, decode.loss_ce: 0.0368, decode.acc_seg: 89.6750, decode.kl_loss: 0.0591, loss: 0.0959 +2023-03-06 04:52:38,003 - mmseg - INFO - Iter [82400/160000] lr: 9.375e-06, eta: 5:20:07, time: 0.205, data_time: 0.008, memory: 52540, decode.loss_ce: 0.0376, decode.acc_seg: 89.5753, decode.kl_loss: 0.0582, loss: 0.0958 +2023-03-06 04:52:48,318 - mmseg - INFO - Iter [82450/160000] lr: 9.375e-06, eta: 5:19:52, time: 0.206, data_time: 0.007, memory: 52540, decode.loss_ce: 0.0369, decode.acc_seg: 89.6811, decode.kl_loss: 0.0582, loss: 0.0950 +2023-03-06 04:52:58,595 - mmseg - INFO - Iter [82500/160000] lr: 9.375e-06, eta: 5:19:38, time: 0.206, data_time: 0.007, memory: 52540, decode.loss_ce: 0.0369, decode.acc_seg: 89.5226, decode.kl_loss: 0.0562, loss: 0.0930 +2023-03-06 04:53:08,571 - mmseg - INFO - Iter [82550/160000] lr: 9.375e-06, eta: 5:19:23, time: 0.200, data_time: 0.007, memory: 52540, decode.loss_ce: 0.0384, decode.acc_seg: 89.4282, decode.kl_loss: 0.0574, loss: 0.0958 +2023-03-06 04:53:18,963 - mmseg - INFO - Iter [82600/160000] lr: 9.375e-06, eta: 5:19:09, time: 0.208, data_time: 0.007, memory: 52540, decode.loss_ce: 0.0357, decode.acc_seg: 90.0441, decode.kl_loss: 0.0559, loss: 0.0916 +2023-03-06 04:53:29,030 - mmseg - INFO - Iter [82650/160000] lr: 9.375e-06, eta: 5:18:54, time: 0.201, data_time: 0.007, memory: 52540, decode.loss_ce: 0.0371, decode.acc_seg: 89.7490, decode.kl_loss: 0.0590, loss: 0.0961 +2023-03-06 04:53:41,445 - mmseg - INFO - Iter [82700/160000] lr: 9.375e-06, eta: 5:18:42, time: 0.249, data_time: 0.054, memory: 52540, decode.loss_ce: 0.0363, decode.acc_seg: 89.8185, decode.kl_loss: 0.0566, loss: 0.0928 +2023-03-06 04:53:51,439 - mmseg - INFO - Iter [82750/160000] lr: 9.375e-06, eta: 5:18:28, time: 0.200, data_time: 0.007, memory: 52540, decode.loss_ce: 0.0368, decode.acc_seg: 89.6510, decode.kl_loss: 0.0572, loss: 0.0940 +2023-03-06 04:54:01,496 - mmseg - INFO - Iter [82800/160000] lr: 9.375e-06, eta: 5:18:13, time: 0.201, data_time: 0.007, memory: 52540, decode.loss_ce: 0.0364, decode.acc_seg: 89.8571, decode.kl_loss: 0.0560, loss: 0.0923 +2023-03-06 04:54:11,399 - mmseg - INFO - Iter [82850/160000] lr: 9.375e-06, eta: 5:17:58, time: 0.198, data_time: 0.007, memory: 52540, decode.loss_ce: 0.0360, decode.acc_seg: 89.9117, decode.kl_loss: 0.0567, loss: 0.0927 +2023-03-06 04:54:21,348 - mmseg - INFO - Iter [82900/160000] lr: 9.375e-06, eta: 5:17:44, time: 0.199, data_time: 0.007, memory: 52540, decode.loss_ce: 0.0344, decode.acc_seg: 90.2907, decode.kl_loss: 0.0567, loss: 0.0911 +2023-03-06 04:54:31,271 - mmseg - INFO - Iter [82950/160000] lr: 9.375e-06, eta: 5:17:29, time: 0.198, data_time: 0.007, memory: 52540, decode.loss_ce: 0.0355, decode.acc_seg: 90.0152, decode.kl_loss: 0.0588, loss: 0.0943 +2023-03-06 04:54:41,364 - mmseg - INFO - Exp name: ablation_segformer_mit_b2_segformer_head_unet_fc_small_multi_step_ade_pretrained_freeze_embed_160k_ade20k151_finetune_ema_ce.py +2023-03-06 04:54:41,364 - mmseg - INFO - Iter [83000/160000] lr: 9.375e-06, eta: 5:17:15, time: 0.202, data_time: 0.007, memory: 52540, decode.loss_ce: 0.0382, decode.acc_seg: 89.6231, decode.kl_loss: 0.0566, loss: 0.0948 +2023-03-06 04:54:51,532 - mmseg - INFO - Iter [83050/160000] lr: 9.375e-06, eta: 5:17:00, time: 0.203, data_time: 0.007, memory: 52540, decode.loss_ce: 0.0362, decode.acc_seg: 89.9235, decode.kl_loss: 0.0592, loss: 0.0954 +2023-03-06 04:55:01,487 - mmseg - INFO - Iter [83100/160000] lr: 9.375e-06, eta: 5:16:46, time: 0.199, data_time: 0.007, memory: 52540, decode.loss_ce: 0.0371, decode.acc_seg: 89.8256, decode.kl_loss: 0.0603, loss: 0.0974 +2023-03-06 04:55:11,513 - mmseg - INFO - Iter [83150/160000] lr: 9.375e-06, eta: 5:16:31, time: 0.201, data_time: 0.007, memory: 52540, decode.loss_ce: 0.0355, decode.acc_seg: 90.1016, decode.kl_loss: 0.0653, loss: 0.1008 +2023-03-06 04:55:21,484 - mmseg - INFO - Iter [83200/160000] lr: 9.375e-06, eta: 5:16:17, time: 0.199, data_time: 0.007, memory: 52540, decode.loss_ce: 0.0385, decode.acc_seg: 89.6053, decode.kl_loss: 0.0612, loss: 0.0996 +2023-03-06 04:55:31,579 - mmseg - INFO - Iter [83250/160000] lr: 9.375e-06, eta: 5:16:02, time: 0.202, data_time: 0.007, memory: 52540, decode.loss_ce: 0.0369, decode.acc_seg: 89.8025, decode.kl_loss: 0.0581, loss: 0.0950 +2023-03-06 04:55:44,349 - mmseg - INFO - Iter [83300/160000] lr: 9.375e-06, eta: 5:15:50, time: 0.255, data_time: 0.057, memory: 52540, decode.loss_ce: 0.0375, decode.acc_seg: 89.7723, decode.kl_loss: 0.0569, loss: 0.0945 +2023-03-06 04:55:54,297 - mmseg - INFO - Iter [83350/160000] lr: 9.375e-06, eta: 5:15:36, time: 0.199, data_time: 0.007, memory: 52540, decode.loss_ce: 0.0372, decode.acc_seg: 89.6334, decode.kl_loss: 0.0616, loss: 0.0988 +2023-03-06 04:56:04,253 - mmseg - INFO - Iter [83400/160000] lr: 9.375e-06, eta: 5:15:21, time: 0.199, data_time: 0.007, memory: 52540, decode.loss_ce: 0.0365, decode.acc_seg: 89.8629, decode.kl_loss: 0.0590, loss: 0.0955 +2023-03-06 04:56:14,377 - mmseg - INFO - Iter [83450/160000] lr: 9.375e-06, eta: 5:15:07, time: 0.202, data_time: 0.007, memory: 52540, decode.loss_ce: 0.0372, decode.acc_seg: 89.7593, decode.kl_loss: 0.0607, loss: 0.0979 +2023-03-06 04:56:24,508 - mmseg - INFO - Iter [83500/160000] lr: 9.375e-06, eta: 5:14:52, time: 0.203, data_time: 0.008, memory: 52540, decode.loss_ce: 0.0369, decode.acc_seg: 89.8771, decode.kl_loss: 0.0583, loss: 0.0951 +2023-03-06 04:56:34,603 - mmseg - INFO - Iter [83550/160000] lr: 9.375e-06, eta: 5:14:38, time: 0.202, data_time: 0.007, memory: 52540, decode.loss_ce: 0.0357, decode.acc_seg: 90.0627, decode.kl_loss: 0.0565, loss: 0.0922 +2023-03-06 04:56:44,685 - mmseg - INFO - Iter [83600/160000] lr: 9.375e-06, eta: 5:14:24, time: 0.202, data_time: 0.007, memory: 52540, decode.loss_ce: 0.0373, decode.acc_seg: 89.7226, decode.kl_loss: 0.0585, loss: 0.0958 +2023-03-06 04:56:54,649 - mmseg - INFO - Iter [83650/160000] lr: 9.375e-06, eta: 5:14:09, time: 0.199, data_time: 0.007, memory: 52540, decode.loss_ce: 0.0381, decode.acc_seg: 89.5773, decode.kl_loss: 0.0589, loss: 0.0970 +2023-03-06 04:57:04,643 - mmseg - INFO - Iter [83700/160000] lr: 9.375e-06, eta: 5:13:55, time: 0.200, data_time: 0.007, memory: 52540, decode.loss_ce: 0.0372, decode.acc_seg: 89.6595, decode.kl_loss: 0.0574, loss: 0.0946 +2023-03-06 04:57:14,667 - mmseg - INFO - Iter [83750/160000] lr: 9.375e-06, eta: 5:13:40, time: 0.200, data_time: 0.007, memory: 52540, decode.loss_ce: 0.0375, decode.acc_seg: 89.6570, decode.kl_loss: 0.0586, loss: 0.0962 +2023-03-06 04:57:24,571 - mmseg - INFO - Iter [83800/160000] lr: 9.375e-06, eta: 5:13:26, time: 0.198, data_time: 0.007, memory: 52540, decode.loss_ce: 0.0373, decode.acc_seg: 89.6981, decode.kl_loss: 0.0580, loss: 0.0953 +2023-03-06 04:57:34,690 - mmseg - INFO - Iter [83850/160000] lr: 9.375e-06, eta: 5:13:11, time: 0.202, data_time: 0.007, memory: 52540, decode.loss_ce: 0.0364, decode.acc_seg: 89.8908, decode.kl_loss: 0.0614, loss: 0.0977 +2023-03-06 04:57:44,745 - mmseg - INFO - Iter [83900/160000] lr: 9.375e-06, eta: 5:12:57, time: 0.201, data_time: 0.007, memory: 52540, decode.loss_ce: 0.0374, decode.acc_seg: 89.5987, decode.kl_loss: 0.0619, loss: 0.0993 +2023-03-06 04:57:57,275 - mmseg - INFO - Iter [83950/160000] lr: 9.375e-06, eta: 5:12:45, time: 0.250, data_time: 0.056, memory: 52540, decode.loss_ce: 0.0350, decode.acc_seg: 90.1987, decode.kl_loss: 0.0620, loss: 0.0970 +2023-03-06 04:58:07,385 - mmseg - INFO - Exp name: ablation_segformer_mit_b2_segformer_head_unet_fc_small_multi_step_ade_pretrained_freeze_embed_160k_ade20k151_finetune_ema_ce.py +2023-03-06 04:58:07,385 - mmseg - INFO - Iter [84000/160000] lr: 9.375e-06, eta: 5:12:30, time: 0.202, data_time: 0.007, memory: 52540, decode.loss_ce: 0.0373, decode.acc_seg: 89.7624, decode.kl_loss: 0.0574, loss: 0.0947 +2023-03-06 04:58:17,363 - mmseg - INFO - Iter [84050/160000] lr: 9.375e-06, eta: 5:12:16, time: 0.200, data_time: 0.007, memory: 52540, decode.loss_ce: 0.0371, decode.acc_seg: 89.7815, decode.kl_loss: 0.0564, loss: 0.0935 +2023-03-06 04:58:27,471 - mmseg - INFO - Iter [84100/160000] lr: 9.375e-06, eta: 5:12:01, time: 0.202, data_time: 0.008, memory: 52540, decode.loss_ce: 0.0360, decode.acc_seg: 89.9059, decode.kl_loss: 0.0575, loss: 0.0935 +2023-03-06 04:58:37,523 - mmseg - INFO - Iter [84150/160000] lr: 9.375e-06, eta: 5:11:47, time: 0.201, data_time: 0.007, memory: 52540, decode.loss_ce: 0.0362, decode.acc_seg: 89.8363, decode.kl_loss: 0.0569, loss: 0.0931 +2023-03-06 04:58:47,849 - mmseg - INFO - Iter [84200/160000] lr: 9.375e-06, eta: 5:11:33, time: 0.207, data_time: 0.007, memory: 52540, decode.loss_ce: 0.0365, decode.acc_seg: 89.8927, decode.kl_loss: 0.0557, loss: 0.0922 +2023-03-06 04:58:58,182 - mmseg - INFO - Iter [84250/160000] lr: 9.375e-06, eta: 5:11:19, time: 0.207, data_time: 0.007, memory: 52540, decode.loss_ce: 0.0374, decode.acc_seg: 89.6810, decode.kl_loss: 0.0577, loss: 0.0952 +2023-03-06 04:59:08,318 - mmseg - INFO - Iter [84300/160000] lr: 9.375e-06, eta: 5:11:04, time: 0.203, data_time: 0.007, memory: 52540, decode.loss_ce: 0.0375, decode.acc_seg: 89.7022, decode.kl_loss: 0.0591, loss: 0.0966 +2023-03-06 04:59:18,334 - mmseg - INFO - Iter [84350/160000] lr: 9.375e-06, eta: 5:10:50, time: 0.200, data_time: 0.007, memory: 52540, decode.loss_ce: 0.0359, decode.acc_seg: 89.9572, decode.kl_loss: 0.0573, loss: 0.0931 +2023-03-06 04:59:28,270 - mmseg - INFO - Iter [84400/160000] lr: 9.375e-06, eta: 5:10:36, time: 0.199, data_time: 0.007, memory: 52540, decode.loss_ce: 0.0373, decode.acc_seg: 89.7412, decode.kl_loss: 0.0580, loss: 0.0953 +2023-03-06 04:59:38,480 - mmseg - INFO - Iter [84450/160000] lr: 9.375e-06, eta: 5:10:21, time: 0.204, data_time: 0.007, memory: 52540, decode.loss_ce: 0.0377, decode.acc_seg: 89.7156, decode.kl_loss: 0.0589, loss: 0.0967 +2023-03-06 04:59:48,571 - mmseg - INFO - Iter [84500/160000] lr: 9.375e-06, eta: 5:10:07, time: 0.202, data_time: 0.007, memory: 52540, decode.loss_ce: 0.0380, decode.acc_seg: 89.6792, decode.kl_loss: 0.0628, loss: 0.1007 +2023-03-06 04:59:58,523 - mmseg - INFO - Iter [84550/160000] lr: 9.375e-06, eta: 5:09:53, time: 0.199, data_time: 0.007, memory: 52540, decode.loss_ce: 0.0371, decode.acc_seg: 89.6401, decode.kl_loss: 0.0679, loss: 0.1050 +2023-03-06 05:00:11,207 - mmseg - INFO - Iter [84600/160000] lr: 9.375e-06, eta: 5:09:41, time: 0.254, data_time: 0.057, memory: 52540, decode.loss_ce: 0.0374, decode.acc_seg: 89.6125, decode.kl_loss: 0.0613, loss: 0.0987 +2023-03-06 05:00:21,246 - mmseg - INFO - Iter [84650/160000] lr: 9.375e-06, eta: 5:09:26, time: 0.201, data_time: 0.007, memory: 52540, decode.loss_ce: 0.0377, decode.acc_seg: 89.4372, decode.kl_loss: 0.0619, loss: 0.0997 +2023-03-06 05:00:31,600 - mmseg - INFO - Iter [84700/160000] lr: 9.375e-06, eta: 5:09:12, time: 0.207, data_time: 0.008, memory: 52540, decode.loss_ce: 0.0364, decode.acc_seg: 89.8291, decode.kl_loss: 0.0582, loss: 0.0945 +2023-03-06 05:00:41,513 - mmseg - INFO - Iter [84750/160000] lr: 9.375e-06, eta: 5:08:58, time: 0.198, data_time: 0.007, memory: 52540, decode.loss_ce: 0.0379, decode.acc_seg: 89.5262, decode.kl_loss: 0.0598, loss: 0.0976 +2023-03-06 05:00:51,656 - mmseg - INFO - Iter [84800/160000] lr: 9.375e-06, eta: 5:08:43, time: 0.203, data_time: 0.007, memory: 52540, decode.loss_ce: 0.0374, decode.acc_seg: 89.6077, decode.kl_loss: 0.0583, loss: 0.0956 +2023-03-06 05:01:01,767 - mmseg - INFO - Iter [84850/160000] lr: 9.375e-06, eta: 5:08:29, time: 0.202, data_time: 0.007, memory: 52540, decode.loss_ce: 0.0372, decode.acc_seg: 89.7479, decode.kl_loss: 0.0591, loss: 0.0963 +2023-03-06 05:01:11,993 - mmseg - INFO - Iter [84900/160000] lr: 9.375e-06, eta: 5:08:15, time: 0.204, data_time: 0.007, memory: 52540, decode.loss_ce: 0.0372, decode.acc_seg: 89.6109, decode.kl_loss: 0.0617, loss: 0.0990 +2023-03-06 05:01:22,132 - mmseg - INFO - Iter [84950/160000] lr: 9.375e-06, eta: 5:08:01, time: 0.203, data_time: 0.007, memory: 52540, decode.loss_ce: 0.0387, decode.acc_seg: 89.2971, decode.kl_loss: 0.0671, loss: 0.1058 +2023-03-06 05:01:32,184 - mmseg - INFO - Exp name: ablation_segformer_mit_b2_segformer_head_unet_fc_small_multi_step_ade_pretrained_freeze_embed_160k_ade20k151_finetune_ema_ce.py +2023-03-06 05:01:32,184 - mmseg - INFO - Iter [85000/160000] lr: 9.375e-06, eta: 5:07:47, time: 0.201, data_time: 0.007, memory: 52540, decode.loss_ce: 0.0387, decode.acc_seg: 89.5589, decode.kl_loss: 0.0625, loss: 0.1011 +2023-03-06 05:01:42,603 - mmseg - INFO - Iter [85050/160000] lr: 9.375e-06, eta: 5:07:33, time: 0.208, data_time: 0.007, memory: 52540, decode.loss_ce: 0.0388, decode.acc_seg: 89.2734, decode.kl_loss: 0.0673, loss: 0.1062 +2023-03-06 05:01:52,501 - mmseg - INFO - Iter [85100/160000] lr: 9.375e-06, eta: 5:07:18, time: 0.198, data_time: 0.007, memory: 52540, decode.loss_ce: 0.0367, decode.acc_seg: 89.6275, decode.kl_loss: 0.0661, loss: 0.1028 +2023-03-06 05:02:02,736 - mmseg - INFO - Iter [85150/160000] lr: 9.375e-06, eta: 5:07:04, time: 0.205, data_time: 0.008, memory: 52540, decode.loss_ce: 0.0378, decode.acc_seg: 89.6682, decode.kl_loss: 0.0634, loss: 0.1012 +2023-03-06 05:02:15,260 - mmseg - INFO - Iter [85200/160000] lr: 9.375e-06, eta: 5:06:52, time: 0.250, data_time: 0.055, memory: 52540, decode.loss_ce: 0.0374, decode.acc_seg: 89.7327, decode.kl_loss: 0.0664, loss: 0.1038 +2023-03-06 05:02:25,492 - mmseg - INFO - Iter [85250/160000] lr: 9.375e-06, eta: 5:06:38, time: 0.205, data_time: 0.008, memory: 52540, decode.loss_ce: 0.0380, decode.acc_seg: 89.3888, decode.kl_loss: 0.0695, loss: 0.1075 +2023-03-06 05:02:35,574 - mmseg - INFO - Iter [85300/160000] lr: 9.375e-06, eta: 5:06:23, time: 0.202, data_time: 0.007, memory: 52540, decode.loss_ce: 0.0390, decode.acc_seg: 89.3589, decode.kl_loss: 0.0665, loss: 0.1055 +2023-03-06 05:02:45,603 - mmseg - INFO - Iter [85350/160000] lr: 9.375e-06, eta: 5:06:09, time: 0.201, data_time: 0.007, memory: 52540, decode.loss_ce: 0.0368, decode.acc_seg: 89.4778, decode.kl_loss: 0.0650, loss: 0.1018 +2023-03-06 05:02:55,698 - mmseg - INFO - Iter [85400/160000] lr: 9.375e-06, eta: 5:05:55, time: 0.202, data_time: 0.007, memory: 52540, decode.loss_ce: 0.0395, decode.acc_seg: 89.1808, decode.kl_loss: 0.0650, loss: 0.1045 +2023-03-06 05:03:05,931 - mmseg - INFO - Iter [85450/160000] lr: 9.375e-06, eta: 5:05:41, time: 0.205, data_time: 0.007, memory: 52540, decode.loss_ce: 0.0387, decode.acc_seg: 89.2493, decode.kl_loss: 0.0641, loss: 0.1028 +2023-03-06 05:03:15,929 - mmseg - INFO - Iter [85500/160000] lr: 9.375e-06, eta: 5:05:27, time: 0.200, data_time: 0.007, memory: 52540, decode.loss_ce: 0.0398, decode.acc_seg: 88.7396, decode.kl_loss: 0.0644, loss: 0.1041 +2023-03-06 05:03:25,885 - mmseg - INFO - Iter [85550/160000] lr: 9.375e-06, eta: 5:05:12, time: 0.199, data_time: 0.008, memory: 52540, decode.loss_ce: 0.0393, decode.acc_seg: 89.0045, decode.kl_loss: 0.0663, loss: 0.1056 +2023-03-06 05:03:36,119 - mmseg - INFO - Iter [85600/160000] lr: 9.375e-06, eta: 5:04:58, time: 0.205, data_time: 0.007, memory: 52540, decode.loss_ce: 0.0391, decode.acc_seg: 89.1066, decode.kl_loss: 0.0635, loss: 0.1026 +2023-03-06 05:03:46,107 - mmseg - INFO - Iter [85650/160000] lr: 9.375e-06, eta: 5:04:44, time: 0.200, data_time: 0.007, memory: 52540, decode.loss_ce: 0.0401, decode.acc_seg: 88.8473, decode.kl_loss: 0.0646, loss: 0.1047 +2023-03-06 05:03:56,277 - mmseg - INFO - Iter [85700/160000] lr: 9.375e-06, eta: 5:04:30, time: 0.203, data_time: 0.007, memory: 52540, decode.loss_ce: 0.0409, decode.acc_seg: 88.5821, decode.kl_loss: 0.0677, loss: 0.1086 +2023-03-06 05:04:06,373 - mmseg - INFO - Iter [85750/160000] lr: 9.375e-06, eta: 5:04:15, time: 0.202, data_time: 0.008, memory: 52540, decode.loss_ce: 0.0405, decode.acc_seg: 88.7796, decode.kl_loss: 0.0653, loss: 0.1058 +2023-03-06 05:04:16,414 - mmseg - INFO - Iter [85800/160000] lr: 9.375e-06, eta: 5:04:01, time: 0.201, data_time: 0.007, memory: 52540, decode.loss_ce: 0.0412, decode.acc_seg: 88.5295, decode.kl_loss: 0.0688, loss: 0.1100 +2023-03-06 05:04:28,998 - mmseg - INFO - Iter [85850/160000] lr: 9.375e-06, eta: 5:03:49, time: 0.252, data_time: 0.056, memory: 52540, decode.loss_ce: 0.0384, decode.acc_seg: 89.3007, decode.kl_loss: 0.0627, loss: 0.1010 +2023-03-06 05:04:39,033 - mmseg - INFO - Iter [85900/160000] lr: 9.375e-06, eta: 5:03:35, time: 0.201, data_time: 0.007, memory: 52540, decode.loss_ce: 0.0406, decode.acc_seg: 89.0666, decode.kl_loss: 0.0643, loss: 0.1048 +2023-03-06 05:04:49,333 - mmseg - INFO - Iter [85950/160000] lr: 9.375e-06, eta: 5:03:21, time: 0.206, data_time: 0.008, memory: 52540, decode.loss_ce: 0.0379, decode.acc_seg: 89.2094, decode.kl_loss: 0.0670, loss: 0.1049 +2023-03-06 05:04:59,325 - mmseg - INFO - Exp name: ablation_segformer_mit_b2_segformer_head_unet_fc_small_multi_step_ade_pretrained_freeze_embed_160k_ade20k151_finetune_ema_ce.py +2023-03-06 05:04:59,325 - mmseg - INFO - Iter [86000/160000] lr: 9.375e-06, eta: 5:03:07, time: 0.200, data_time: 0.007, memory: 52540, decode.loss_ce: 0.0399, decode.acc_seg: 88.7761, decode.kl_loss: 0.0669, loss: 0.1068 +2023-03-06 05:05:09,229 - mmseg - INFO - Iter [86050/160000] lr: 9.375e-06, eta: 5:02:52, time: 0.198, data_time: 0.007, memory: 52540, decode.loss_ce: 0.0409, decode.acc_seg: 88.9277, decode.kl_loss: 0.0695, loss: 0.1105 +2023-03-06 05:05:19,501 - mmseg - INFO - Iter [86100/160000] lr: 9.375e-06, eta: 5:02:38, time: 0.205, data_time: 0.007, memory: 52540, decode.loss_ce: 0.0392, decode.acc_seg: 89.0587, decode.kl_loss: 0.0690, loss: 0.1082 +2023-03-06 05:05:29,824 - mmseg - INFO - Iter [86150/160000] lr: 9.375e-06, eta: 5:02:24, time: 0.206, data_time: 0.008, memory: 52540, decode.loss_ce: 0.0399, decode.acc_seg: 89.1484, decode.kl_loss: 0.0655, loss: 0.1054 +2023-03-06 05:05:39,997 - mmseg - INFO - Iter [86200/160000] lr: 9.375e-06, eta: 5:02:10, time: 0.203, data_time: 0.007, memory: 52540, decode.loss_ce: 0.0393, decode.acc_seg: 89.1634, decode.kl_loss: 0.0656, loss: 0.1048 +2023-03-06 05:05:49,913 - mmseg - INFO - Iter [86250/160000] lr: 9.375e-06, eta: 5:01:56, time: 0.198, data_time: 0.007, memory: 52540, decode.loss_ce: 0.0393, decode.acc_seg: 89.1484, decode.kl_loss: 0.0637, loss: 0.1030 +2023-03-06 05:05:59,946 - mmseg - INFO - Iter [86300/160000] lr: 9.375e-06, eta: 5:01:42, time: 0.201, data_time: 0.007, memory: 52540, decode.loss_ce: 0.0388, decode.acc_seg: 89.1965, decode.kl_loss: 0.0661, loss: 0.1049 +2023-03-06 05:06:10,131 - mmseg - INFO - Iter [86350/160000] lr: 9.375e-06, eta: 5:01:28, time: 0.203, data_time: 0.007, memory: 52540, decode.loss_ce: 0.0413, decode.acc_seg: 88.5963, decode.kl_loss: 0.0665, loss: 0.1078 +2023-03-06 05:06:20,141 - mmseg - INFO - Iter [86400/160000] lr: 9.375e-06, eta: 5:01:13, time: 0.200, data_time: 0.008, memory: 52540, decode.loss_ce: 0.0395, decode.acc_seg: 88.7649, decode.kl_loss: 0.0682, loss: 0.1077 +2023-03-06 05:06:32,799 - mmseg - INFO - Iter [86450/160000] lr: 9.375e-06, eta: 5:01:01, time: 0.253, data_time: 0.056, memory: 52540, decode.loss_ce: 0.0389, decode.acc_seg: 89.0248, decode.kl_loss: 0.0681, loss: 0.1070 +2023-03-06 05:06:42,961 - mmseg - INFO - Iter [86500/160000] lr: 9.375e-06, eta: 5:00:47, time: 0.203, data_time: 0.007, memory: 52540, decode.loss_ce: 0.0398, decode.acc_seg: 88.8160, decode.kl_loss: 0.0686, loss: 0.1084 +2023-03-06 05:06:52,853 - mmseg - INFO - Iter [86550/160000] lr: 9.375e-06, eta: 5:00:33, time: 0.198, data_time: 0.007, memory: 52540, decode.loss_ce: 0.0396, decode.acc_seg: 88.9278, decode.kl_loss: 0.0667, loss: 0.1063 +2023-03-06 05:07:03,118 - mmseg - INFO - Iter [86600/160000] lr: 9.375e-06, eta: 5:00:19, time: 0.205, data_time: 0.007, memory: 52540, decode.loss_ce: 0.0399, decode.acc_seg: 88.8492, decode.kl_loss: 0.0660, loss: 0.1058 +2023-03-06 05:07:13,496 - mmseg - INFO - Iter [86650/160000] lr: 9.375e-06, eta: 5:00:05, time: 0.208, data_time: 0.007, memory: 52540, decode.loss_ce: 0.0387, decode.acc_seg: 88.9942, decode.kl_loss: 0.0684, loss: 0.1071 +2023-03-06 05:07:23,965 - mmseg - INFO - Iter [86700/160000] lr: 9.375e-06, eta: 4:59:51, time: 0.209, data_time: 0.007, memory: 52540, decode.loss_ce: 0.0393, decode.acc_seg: 88.9523, decode.kl_loss: 0.0700, loss: 0.1093 +2023-03-06 05:07:33,928 - mmseg - INFO - Iter [86750/160000] lr: 9.375e-06, eta: 4:59:37, time: 0.199, data_time: 0.007, memory: 52540, decode.loss_ce: 0.0392, decode.acc_seg: 89.1017, decode.kl_loss: 0.0675, loss: 0.1066 +2023-03-06 05:07:44,163 - mmseg - INFO - Iter [86800/160000] lr: 9.375e-06, eta: 4:59:23, time: 0.205, data_time: 0.008, memory: 52540, decode.loss_ce: 0.0389, decode.acc_seg: 89.1738, decode.kl_loss: 0.0670, loss: 0.1059 +2023-03-06 05:07:54,380 - mmseg - INFO - Iter [86850/160000] lr: 9.375e-06, eta: 4:59:09, time: 0.204, data_time: 0.007, memory: 52540, decode.loss_ce: 0.0396, decode.acc_seg: 88.9395, decode.kl_loss: 0.0706, loss: 0.1102 +2023-03-06 05:08:04,462 - mmseg - INFO - Iter [86900/160000] lr: 9.375e-06, eta: 4:58:55, time: 0.202, data_time: 0.007, memory: 52540, decode.loss_ce: 0.0404, decode.acc_seg: 88.7848, decode.kl_loss: 0.0705, loss: 0.1109 +2023-03-06 05:08:14,394 - mmseg - INFO - Iter [86950/160000] lr: 9.375e-06, eta: 4:58:41, time: 0.199, data_time: 0.007, memory: 52540, decode.loss_ce: 0.0410, decode.acc_seg: 88.5975, decode.kl_loss: 0.0742, loss: 0.1152 +2023-03-06 05:08:24,564 - mmseg - INFO - Exp name: ablation_segformer_mit_b2_segformer_head_unet_fc_small_multi_step_ade_pretrained_freeze_embed_160k_ade20k151_finetune_ema_ce.py +2023-03-06 05:08:24,564 - mmseg - INFO - Iter [87000/160000] lr: 9.375e-06, eta: 4:58:27, time: 0.203, data_time: 0.007, memory: 52540, decode.loss_ce: 0.0419, decode.acc_seg: 88.5407, decode.kl_loss: 0.0729, loss: 0.1148 +2023-03-06 05:08:34,547 - mmseg - INFO - Iter [87050/160000] lr: 9.375e-06, eta: 4:58:13, time: 0.200, data_time: 0.007, memory: 52540, decode.loss_ce: 0.0413, decode.acc_seg: 88.4790, decode.kl_loss: 0.0775, loss: 0.1189 +2023-03-06 05:08:47,167 - mmseg - INFO - Iter [87100/160000] lr: 9.375e-06, eta: 4:58:01, time: 0.252, data_time: 0.056, memory: 52540, decode.loss_ce: 0.0424, decode.acc_seg: 88.2498, decode.kl_loss: 0.0755, loss: 0.1179 +2023-03-06 05:08:57,254 - mmseg - INFO - Iter [87150/160000] lr: 9.375e-06, eta: 4:57:47, time: 0.202, data_time: 0.007, memory: 52540, decode.loss_ce: 0.0434, decode.acc_seg: 88.0957, decode.kl_loss: 0.0710, loss: 0.1144 +2023-03-06 05:09:07,414 - mmseg - INFO - Iter [87200/160000] lr: 9.375e-06, eta: 4:57:33, time: 0.203, data_time: 0.007, memory: 52540, decode.loss_ce: 0.0418, decode.acc_seg: 88.3609, decode.kl_loss: 0.0721, loss: 0.1138 +2023-03-06 05:09:17,595 - mmseg - INFO - Iter [87250/160000] lr: 9.375e-06, eta: 4:57:19, time: 0.204, data_time: 0.007, memory: 52540, decode.loss_ce: 0.0413, decode.acc_seg: 88.5308, decode.kl_loss: 0.0705, loss: 0.1117 +2023-03-06 05:09:27,594 - mmseg - INFO - Iter [87300/160000] lr: 9.375e-06, eta: 4:57:04, time: 0.200, data_time: 0.007, memory: 52540, decode.loss_ce: 0.0460, decode.acc_seg: 87.1937, decode.kl_loss: 0.0725, loss: 0.1185 +2023-03-06 05:09:37,501 - mmseg - INFO - Iter [87350/160000] lr: 9.375e-06, eta: 4:56:50, time: 0.198, data_time: 0.007, memory: 52540, decode.loss_ce: 0.0466, decode.acc_seg: 87.1941, decode.kl_loss: 0.0714, loss: 0.1180 +2023-03-06 05:09:47,408 - mmseg - INFO - Iter [87400/160000] lr: 9.375e-06, eta: 4:56:36, time: 0.198, data_time: 0.007, memory: 52540, decode.loss_ce: 0.0449, decode.acc_seg: 87.4308, decode.kl_loss: 0.0675, loss: 0.1123 +2023-03-06 05:09:57,356 - mmseg - INFO - Iter [87450/160000] lr: 9.375e-06, eta: 4:56:22, time: 0.199, data_time: 0.007, memory: 52540, decode.loss_ce: 0.0453, decode.acc_seg: 87.4515, decode.kl_loss: 0.0695, loss: 0.1149 +2023-03-06 05:10:07,921 - mmseg - INFO - Iter [87500/160000] lr: 9.375e-06, eta: 4:56:08, time: 0.211, data_time: 0.007, memory: 52540, decode.loss_ce: 0.0430, decode.acc_seg: 88.0660, decode.kl_loss: 0.0651, loss: 0.1081 +2023-03-06 05:10:17,869 - mmseg - INFO - Iter [87550/160000] lr: 9.375e-06, eta: 4:55:54, time: 0.199, data_time: 0.007, memory: 52540, decode.loss_ce: 0.0441, decode.acc_seg: 87.8640, decode.kl_loss: 0.0636, loss: 0.1077 +2023-03-06 05:10:27,959 - mmseg - INFO - Iter [87600/160000] lr: 9.375e-06, eta: 4:55:40, time: 0.202, data_time: 0.007, memory: 52540, decode.loss_ce: 0.0421, decode.acc_seg: 88.3830, decode.kl_loss: 0.0635, loss: 0.1056 +2023-03-06 05:10:38,072 - mmseg - INFO - Iter [87650/160000] lr: 9.375e-06, eta: 4:55:26, time: 0.203, data_time: 0.008, memory: 52540, decode.loss_ce: 0.0442, decode.acc_seg: 87.8758, decode.kl_loss: 0.0677, loss: 0.1118 +2023-03-06 05:10:48,295 - mmseg - INFO - Iter [87700/160000] lr: 9.375e-06, eta: 4:55:12, time: 0.204, data_time: 0.007, memory: 52540, decode.loss_ce: 0.0447, decode.acc_seg: 87.6925, decode.kl_loss: 0.0628, loss: 0.1075 +2023-03-06 05:11:01,001 - mmseg - INFO - Iter [87750/160000] lr: 9.375e-06, eta: 4:55:00, time: 0.254, data_time: 0.056, memory: 52540, decode.loss_ce: 0.0419, decode.acc_seg: 88.4489, decode.kl_loss: 0.0644, loss: 0.1063 +2023-03-06 05:11:11,290 - mmseg - INFO - Iter [87800/160000] lr: 9.375e-06, eta: 4:54:46, time: 0.206, data_time: 0.007, memory: 52540, decode.loss_ce: 0.0430, decode.acc_seg: 88.2990, decode.kl_loss: 0.0660, loss: 0.1091 +2023-03-06 05:11:21,451 - mmseg - INFO - Iter [87850/160000] lr: 9.375e-06, eta: 4:54:32, time: 0.203, data_time: 0.007, memory: 52540, decode.loss_ce: 0.0404, decode.acc_seg: 89.0098, decode.kl_loss: 0.0600, loss: 0.1004 +2023-03-06 05:11:31,492 - mmseg - INFO - Iter [87900/160000] lr: 9.375e-06, eta: 4:54:18, time: 0.201, data_time: 0.007, memory: 52540, decode.loss_ce: 0.0408, decode.acc_seg: 88.7695, decode.kl_loss: 0.0624, loss: 0.1032 +2023-03-06 05:11:41,425 - mmseg - INFO - Iter [87950/160000] lr: 9.375e-06, eta: 4:54:04, time: 0.199, data_time: 0.007, memory: 52540, decode.loss_ce: 0.0427, decode.acc_seg: 88.1572, decode.kl_loss: 0.0641, loss: 0.1068 +2023-03-06 05:11:51,370 - mmseg - INFO - Exp name: ablation_segformer_mit_b2_segformer_head_unet_fc_small_multi_step_ade_pretrained_freeze_embed_160k_ade20k151_finetune_ema_ce.py +2023-03-06 05:11:51,370 - mmseg - INFO - Iter [88000/160000] lr: 9.375e-06, eta: 4:53:50, time: 0.199, data_time: 0.007, memory: 52540, decode.loss_ce: 0.0430, decode.acc_seg: 88.1808, decode.kl_loss: 0.0640, loss: 0.1070 +2023-03-06 05:12:01,497 - mmseg - INFO - Iter [88050/160000] lr: 9.375e-06, eta: 4:53:36, time: 0.203, data_time: 0.007, memory: 52540, decode.loss_ce: 0.0438, decode.acc_seg: 87.9695, decode.kl_loss: 0.0661, loss: 0.1099 +2023-03-06 05:12:11,566 - mmseg - INFO - Iter [88100/160000] lr: 9.375e-06, eta: 4:53:22, time: 0.201, data_time: 0.007, memory: 52540, decode.loss_ce: 0.0429, decode.acc_seg: 88.3787, decode.kl_loss: 0.0627, loss: 0.1056 +2023-03-06 05:12:21,923 - mmseg - INFO - Iter [88150/160000] lr: 9.375e-06, eta: 4:53:08, time: 0.207, data_time: 0.007, memory: 52540, decode.loss_ce: 0.0424, decode.acc_seg: 88.3027, decode.kl_loss: 0.0621, loss: 0.1045 +2023-03-06 05:12:32,109 - mmseg - INFO - Iter [88200/160000] lr: 9.375e-06, eta: 4:52:54, time: 0.204, data_time: 0.007, memory: 52540, decode.loss_ce: 0.0413, decode.acc_seg: 88.6445, decode.kl_loss: 0.0613, loss: 0.1026 +2023-03-06 05:12:42,068 - mmseg - INFO - Iter [88250/160000] lr: 9.375e-06, eta: 4:52:40, time: 0.199, data_time: 0.007, memory: 52540, decode.loss_ce: 0.0414, decode.acc_seg: 88.5477, decode.kl_loss: 0.0613, loss: 0.1027 +2023-03-06 05:12:52,300 - mmseg - INFO - Iter [88300/160000] lr: 9.375e-06, eta: 4:52:26, time: 0.205, data_time: 0.007, memory: 52540, decode.loss_ce: 0.0435, decode.acc_seg: 87.9569, decode.kl_loss: 0.0605, loss: 0.1039 +2023-03-06 05:13:04,744 - mmseg - INFO - Iter [88350/160000] lr: 9.375e-06, eta: 4:52:14, time: 0.249, data_time: 0.055, memory: 52540, decode.loss_ce: 0.0419, decode.acc_seg: 88.4512, decode.kl_loss: 0.0634, loss: 0.1053 +2023-03-06 05:13:14,737 - mmseg - INFO - Iter [88400/160000] lr: 9.375e-06, eta: 4:52:00, time: 0.200, data_time: 0.007, memory: 52540, decode.loss_ce: 0.0409, decode.acc_seg: 88.7885, decode.kl_loss: 0.0605, loss: 0.1015 +2023-03-06 05:13:24,819 - mmseg - INFO - Iter [88450/160000] lr: 9.375e-06, eta: 4:51:46, time: 0.202, data_time: 0.007, memory: 52540, decode.loss_ce: 0.0410, decode.acc_seg: 88.5821, decode.kl_loss: 0.0614, loss: 0.1024 +2023-03-06 05:13:34,891 - mmseg - INFO - Iter [88500/160000] lr: 9.375e-06, eta: 4:51:32, time: 0.201, data_time: 0.007, memory: 52540, decode.loss_ce: 0.0434, decode.acc_seg: 88.0971, decode.kl_loss: 0.0621, loss: 0.1055 +2023-03-06 05:13:45,162 - mmseg - INFO - Iter [88550/160000] lr: 9.375e-06, eta: 4:51:19, time: 0.205, data_time: 0.007, memory: 52540, decode.loss_ce: 0.0406, decode.acc_seg: 88.7555, decode.kl_loss: 0.0592, loss: 0.0997 +2023-03-06 05:13:55,106 - mmseg - INFO - Iter [88600/160000] lr: 9.375e-06, eta: 4:51:04, time: 0.199, data_time: 0.007, memory: 52540, decode.loss_ce: 0.0405, decode.acc_seg: 88.7342, decode.kl_loss: 0.0610, loss: 0.1014 +2023-03-06 05:14:05,228 - mmseg - INFO - Iter [88650/160000] lr: 9.375e-06, eta: 4:50:51, time: 0.202, data_time: 0.007, memory: 52540, decode.loss_ce: 0.0417, decode.acc_seg: 88.3729, decode.kl_loss: 0.0611, loss: 0.1028 +2023-03-06 05:14:15,541 - mmseg - INFO - Iter [88700/160000] lr: 9.375e-06, eta: 4:50:37, time: 0.206, data_time: 0.007, memory: 52540, decode.loss_ce: 0.0411, decode.acc_seg: 88.7419, decode.kl_loss: 0.0590, loss: 0.1000 +2023-03-06 05:14:25,588 - mmseg - INFO - Iter [88750/160000] lr: 9.375e-06, eta: 4:50:23, time: 0.201, data_time: 0.007, memory: 52540, decode.loss_ce: 0.0403, decode.acc_seg: 88.9591, decode.kl_loss: 0.0553, loss: 0.0956 +2023-03-06 05:14:35,724 - mmseg - INFO - Iter [88800/160000] lr: 9.375e-06, eta: 4:50:09, time: 0.203, data_time: 0.007, memory: 52540, decode.loss_ce: 0.0397, decode.acc_seg: 88.9597, decode.kl_loss: 0.0594, loss: 0.0991 +2023-03-06 05:14:45,775 - mmseg - INFO - Iter [88850/160000] lr: 9.375e-06, eta: 4:49:55, time: 0.201, data_time: 0.007, memory: 52540, decode.loss_ce: 0.0396, decode.acc_seg: 88.9763, decode.kl_loss: 0.0595, loss: 0.0991 +2023-03-06 05:14:55,671 - mmseg - INFO - Iter [88900/160000] lr: 9.375e-06, eta: 4:49:41, time: 0.198, data_time: 0.007, memory: 52540, decode.loss_ce: 0.0394, decode.acc_seg: 88.9662, decode.kl_loss: 0.0582, loss: 0.0976 +2023-03-06 05:15:05,775 - mmseg - INFO - Iter [88950/160000] lr: 9.375e-06, eta: 4:49:27, time: 0.202, data_time: 0.007, memory: 52540, decode.loss_ce: 0.0408, decode.acc_seg: 88.5147, decode.kl_loss: 0.0597, loss: 0.1005 +2023-03-06 05:15:18,387 - mmseg - INFO - Exp name: ablation_segformer_mit_b2_segformer_head_unet_fc_small_multi_step_ade_pretrained_freeze_embed_160k_ade20k151_finetune_ema_ce.py +2023-03-06 05:15:18,388 - mmseg - INFO - Iter [89000/160000] lr: 9.375e-06, eta: 4:49:15, time: 0.252, data_time: 0.055, memory: 52540, decode.loss_ce: 0.0391, decode.acc_seg: 89.1330, decode.kl_loss: 0.0583, loss: 0.0973 +2023-03-06 05:15:28,298 - mmseg - INFO - Iter [89050/160000] lr: 9.375e-06, eta: 4:49:01, time: 0.198, data_time: 0.007, memory: 52540, decode.loss_ce: 0.0381, decode.acc_seg: 89.2574, decode.kl_loss: 0.0581, loss: 0.0962 +2023-03-06 05:15:38,242 - mmseg - INFO - Iter [89100/160000] lr: 9.375e-06, eta: 4:48:47, time: 0.199, data_time: 0.007, memory: 52540, decode.loss_ce: 0.0383, decode.acc_seg: 89.2013, decode.kl_loss: 0.0560, loss: 0.0943 +2023-03-06 05:15:48,210 - mmseg - INFO - Iter [89150/160000] lr: 9.375e-06, eta: 4:48:33, time: 0.199, data_time: 0.007, memory: 52540, decode.loss_ce: 0.0388, decode.acc_seg: 89.2462, decode.kl_loss: 0.0574, loss: 0.0962 +2023-03-06 05:15:58,337 - mmseg - INFO - Iter [89200/160000] lr: 9.375e-06, eta: 4:48:19, time: 0.203, data_time: 0.008, memory: 52540, decode.loss_ce: 0.0384, decode.acc_seg: 89.4564, decode.kl_loss: 0.0547, loss: 0.0931 +2023-03-06 05:16:08,360 - mmseg - INFO - Iter [89250/160000] lr: 9.375e-06, eta: 4:48:05, time: 0.200, data_time: 0.007, memory: 52540, decode.loss_ce: 0.0388, decode.acc_seg: 89.1841, decode.kl_loss: 0.0567, loss: 0.0954 +2023-03-06 05:16:18,517 - mmseg - INFO - Iter [89300/160000] lr: 9.375e-06, eta: 4:47:51, time: 0.203, data_time: 0.007, memory: 52540, decode.loss_ce: 0.0395, decode.acc_seg: 89.2671, decode.kl_loss: 0.0562, loss: 0.0958 +2023-03-06 05:16:28,564 - mmseg - INFO - Iter [89350/160000] lr: 9.375e-06, eta: 4:47:37, time: 0.201, data_time: 0.007, memory: 52540, decode.loss_ce: 0.0386, decode.acc_seg: 89.3442, decode.kl_loss: 0.0563, loss: 0.0949 +2023-03-06 05:16:38,479 - mmseg - INFO - Iter [89400/160000] lr: 9.375e-06, eta: 4:47:23, time: 0.198, data_time: 0.007, memory: 52540, decode.loss_ce: 0.0373, decode.acc_seg: 89.7865, decode.kl_loss: 0.0546, loss: 0.0919 +2023-03-06 05:16:48,829 - mmseg - INFO - Iter [89450/160000] lr: 9.375e-06, eta: 4:47:10, time: 0.207, data_time: 0.007, memory: 52540, decode.loss_ce: 0.0386, decode.acc_seg: 89.3376, decode.kl_loss: 0.0579, loss: 0.0964 +2023-03-06 05:16:58,744 - mmseg - INFO - Iter [89500/160000] lr: 9.375e-06, eta: 4:46:56, time: 0.198, data_time: 0.007, memory: 52540, decode.loss_ce: 0.0376, decode.acc_seg: 89.5154, decode.kl_loss: 0.0560, loss: 0.0936 +2023-03-06 05:17:09,294 - mmseg - INFO - Iter [89550/160000] lr: 9.375e-06, eta: 4:46:42, time: 0.211, data_time: 0.007, memory: 52540, decode.loss_ce: 0.0387, decode.acc_seg: 89.3372, decode.kl_loss: 0.0563, loss: 0.0950 +2023-03-06 05:17:19,431 - mmseg - INFO - Iter [89600/160000] lr: 9.375e-06, eta: 4:46:28, time: 0.203, data_time: 0.007, memory: 52540, decode.loss_ce: 0.0400, decode.acc_seg: 88.8406, decode.kl_loss: 0.0574, loss: 0.0975 +2023-03-06 05:17:32,004 - mmseg - INFO - Iter [89650/160000] lr: 9.375e-06, eta: 4:46:16, time: 0.251, data_time: 0.058, memory: 52540, decode.loss_ce: 0.0371, decode.acc_seg: 89.7437, decode.kl_loss: 0.0549, loss: 0.0919 +2023-03-06 05:17:42,036 - mmseg - INFO - Iter [89700/160000] lr: 9.375e-06, eta: 4:46:02, time: 0.201, data_time: 0.007, memory: 52540, decode.loss_ce: 0.0398, decode.acc_seg: 88.9949, decode.kl_loss: 0.0600, loss: 0.0998 +2023-03-06 05:17:52,062 - mmseg - INFO - Iter [89750/160000] lr: 9.375e-06, eta: 4:45:48, time: 0.201, data_time: 0.007, memory: 52540, decode.loss_ce: 0.0392, decode.acc_seg: 89.2017, decode.kl_loss: 0.0574, loss: 0.0966 +2023-03-06 05:18:02,453 - mmseg - INFO - Iter [89800/160000] lr: 9.375e-06, eta: 4:45:35, time: 0.208, data_time: 0.007, memory: 52540, decode.loss_ce: 0.0386, decode.acc_seg: 89.4226, decode.kl_loss: 0.0538, loss: 0.0924 +2023-03-06 05:18:12,524 - mmseg - INFO - Iter [89850/160000] lr: 9.375e-06, eta: 4:45:21, time: 0.201, data_time: 0.007, memory: 52540, decode.loss_ce: 0.0378, decode.acc_seg: 89.5439, decode.kl_loss: 0.0562, loss: 0.0940 +2023-03-06 05:18:22,840 - mmseg - INFO - Iter [89900/160000] lr: 9.375e-06, eta: 4:45:07, time: 0.206, data_time: 0.007, memory: 52540, decode.loss_ce: 0.0378, decode.acc_seg: 89.4375, decode.kl_loss: 0.0569, loss: 0.0947 +2023-03-06 05:18:33,203 - mmseg - INFO - Iter [89950/160000] lr: 9.375e-06, eta: 4:44:54, time: 0.207, data_time: 0.007, memory: 52540, decode.loss_ce: 0.0378, decode.acc_seg: 89.5149, decode.kl_loss: 0.0568, loss: 0.0946 +2023-03-06 05:18:43,303 - mmseg - INFO - Exp name: ablation_segformer_mit_b2_segformer_head_unet_fc_small_multi_step_ade_pretrained_freeze_embed_160k_ade20k151_finetune_ema_ce.py +2023-03-06 05:18:43,303 - mmseg - INFO - Iter [90000/160000] lr: 9.375e-06, eta: 4:44:40, time: 0.202, data_time: 0.007, memory: 52540, decode.loss_ce: 0.0384, decode.acc_seg: 89.4900, decode.kl_loss: 0.0560, loss: 0.0943 +2023-03-06 05:18:53,256 - mmseg - INFO - Iter [90050/160000] lr: 9.375e-06, eta: 4:44:26, time: 0.199, data_time: 0.007, memory: 52540, decode.loss_ce: 0.0373, decode.acc_seg: 89.6962, decode.kl_loss: 0.0540, loss: 0.0913 +2023-03-06 05:19:03,219 - mmseg - INFO - Iter [90100/160000] lr: 9.375e-06, eta: 4:44:12, time: 0.199, data_time: 0.007, memory: 52540, decode.loss_ce: 0.0370, decode.acc_seg: 89.5221, decode.kl_loss: 0.0555, loss: 0.0925 +2023-03-06 05:19:13,239 - mmseg - INFO - Iter [90150/160000] lr: 9.375e-06, eta: 4:43:58, time: 0.200, data_time: 0.007, memory: 52540, decode.loss_ce: 0.0378, decode.acc_seg: 89.5148, decode.kl_loss: 0.0530, loss: 0.0907 +2023-03-06 05:19:23,242 - mmseg - INFO - Iter [90200/160000] lr: 9.375e-06, eta: 4:43:44, time: 0.200, data_time: 0.007, memory: 52540, decode.loss_ce: 0.0355, decode.acc_seg: 90.0543, decode.kl_loss: 0.0551, loss: 0.0907 +2023-03-06 05:19:35,705 - mmseg - INFO - Iter [90250/160000] lr: 9.375e-06, eta: 4:43:32, time: 0.249, data_time: 0.056, memory: 52540, decode.loss_ce: 0.0361, decode.acc_seg: 89.8565, decode.kl_loss: 0.0547, loss: 0.0907 +2023-03-06 05:19:45,689 - mmseg - INFO - Iter [90300/160000] lr: 9.375e-06, eta: 4:43:18, time: 0.200, data_time: 0.007, memory: 52540, decode.loss_ce: 0.0372, decode.acc_seg: 89.8534, decode.kl_loss: 0.0537, loss: 0.0910 +2023-03-06 05:19:55,651 - mmseg - INFO - Iter [90350/160000] lr: 9.375e-06, eta: 4:43:04, time: 0.199, data_time: 0.007, memory: 52540, decode.loss_ce: 0.0377, decode.acc_seg: 89.5211, decode.kl_loss: 0.0558, loss: 0.0935 +2023-03-06 05:20:05,602 - mmseg - INFO - Iter [90400/160000] lr: 9.375e-06, eta: 4:42:50, time: 0.199, data_time: 0.007, memory: 52540, decode.loss_ce: 0.0378, decode.acc_seg: 89.5880, decode.kl_loss: 0.0552, loss: 0.0930 +2023-03-06 05:20:15,640 - mmseg - INFO - Iter [90450/160000] lr: 9.375e-06, eta: 4:42:37, time: 0.201, data_time: 0.007, memory: 52540, decode.loss_ce: 0.0380, decode.acc_seg: 89.2806, decode.kl_loss: 0.0603, loss: 0.0983 +2023-03-06 05:20:25,870 - mmseg - INFO - Iter [90500/160000] lr: 9.375e-06, eta: 4:42:23, time: 0.205, data_time: 0.007, memory: 52540, decode.loss_ce: 0.0368, decode.acc_seg: 89.7756, decode.kl_loss: 0.0553, loss: 0.0920 +2023-03-06 05:20:35,830 - mmseg - INFO - Iter [90550/160000] lr: 9.375e-06, eta: 4:42:09, time: 0.199, data_time: 0.007, memory: 52540, decode.loss_ce: 0.0364, decode.acc_seg: 89.7655, decode.kl_loss: 0.0564, loss: 0.0927 +2023-03-06 05:20:45,721 - mmseg - INFO - Iter [90600/160000] lr: 9.375e-06, eta: 4:41:55, time: 0.198, data_time: 0.007, memory: 52540, decode.loss_ce: 0.0394, decode.acc_seg: 89.3393, decode.kl_loss: 0.0565, loss: 0.0958 +2023-03-06 05:20:55,826 - mmseg - INFO - Iter [90650/160000] lr: 9.375e-06, eta: 4:41:41, time: 0.202, data_time: 0.007, memory: 52540, decode.loss_ce: 0.0373, decode.acc_seg: 89.5465, decode.kl_loss: 0.0545, loss: 0.0918 +2023-03-06 05:21:06,200 - mmseg - INFO - Iter [90700/160000] lr: 9.375e-06, eta: 4:41:28, time: 0.207, data_time: 0.007, memory: 52540, decode.loss_ce: 0.0353, decode.acc_seg: 90.2737, decode.kl_loss: 0.0511, loss: 0.0864 +2023-03-06 05:21:16,278 - mmseg - INFO - Iter [90750/160000] lr: 9.375e-06, eta: 4:41:14, time: 0.202, data_time: 0.007, memory: 52540, decode.loss_ce: 0.0365, decode.acc_seg: 89.6505, decode.kl_loss: 0.0546, loss: 0.0911 +2023-03-06 05:21:26,266 - mmseg - INFO - Iter [90800/160000] lr: 9.375e-06, eta: 4:41:00, time: 0.200, data_time: 0.007, memory: 52540, decode.loss_ce: 0.0370, decode.acc_seg: 89.7444, decode.kl_loss: 0.0551, loss: 0.0921 +2023-03-06 05:21:36,259 - mmseg - INFO - Iter [90850/160000] lr: 9.375e-06, eta: 4:40:46, time: 0.200, data_time: 0.007, memory: 52540, decode.loss_ce: 0.0362, decode.acc_seg: 89.9107, decode.kl_loss: 0.0539, loss: 0.0901 +2023-03-06 05:21:48,878 - mmseg - INFO - Iter [90900/160000] lr: 9.375e-06, eta: 4:40:34, time: 0.252, data_time: 0.056, memory: 52540, decode.loss_ce: 0.0358, decode.acc_seg: 90.0755, decode.kl_loss: 0.0523, loss: 0.0881 +2023-03-06 05:21:58,812 - mmseg - INFO - Iter [90950/160000] lr: 9.375e-06, eta: 4:40:20, time: 0.199, data_time: 0.007, memory: 52540, decode.loss_ce: 0.0351, decode.acc_seg: 90.0005, decode.kl_loss: 0.0552, loss: 0.0904 +2023-03-06 05:22:08,780 - mmseg - INFO - Exp name: ablation_segformer_mit_b2_segformer_head_unet_fc_small_multi_step_ade_pretrained_freeze_embed_160k_ade20k151_finetune_ema_ce.py +2023-03-06 05:22:08,780 - mmseg - INFO - Iter [91000/160000] lr: 9.375e-06, eta: 4:40:07, time: 0.199, data_time: 0.007, memory: 52540, decode.loss_ce: 0.0365, decode.acc_seg: 89.6666, decode.kl_loss: 0.0551, loss: 0.0916 +2023-03-06 05:22:18,800 - mmseg - INFO - Iter [91050/160000] lr: 9.375e-06, eta: 4:39:53, time: 0.200, data_time: 0.007, memory: 52540, decode.loss_ce: 0.0375, decode.acc_seg: 89.5350, decode.kl_loss: 0.0540, loss: 0.0914 +2023-03-06 05:22:29,165 - mmseg - INFO - Iter [91100/160000] lr: 9.375e-06, eta: 4:39:39, time: 0.207, data_time: 0.007, memory: 52540, decode.loss_ce: 0.0379, decode.acc_seg: 89.5028, decode.kl_loss: 0.0548, loss: 0.0927 +2023-03-06 05:22:39,064 - mmseg - INFO - Iter [91150/160000] lr: 9.375e-06, eta: 4:39:25, time: 0.198, data_time: 0.007, memory: 52540, decode.loss_ce: 0.0374, decode.acc_seg: 89.5100, decode.kl_loss: 0.0558, loss: 0.0932 +2023-03-06 05:22:48,992 - mmseg - INFO - Iter [91200/160000] lr: 9.375e-06, eta: 4:39:11, time: 0.199, data_time: 0.007, memory: 52540, decode.loss_ce: 0.0378, decode.acc_seg: 89.2495, decode.kl_loss: 0.0583, loss: 0.0962 +2023-03-06 05:22:58,943 - mmseg - INFO - Iter [91250/160000] lr: 9.375e-06, eta: 4:38:58, time: 0.199, data_time: 0.007, memory: 52540, decode.loss_ce: 0.0402, decode.acc_seg: 88.6187, decode.kl_loss: 0.0602, loss: 0.1004 +2023-03-06 05:23:08,992 - mmseg - INFO - Iter [91300/160000] lr: 9.375e-06, eta: 4:38:44, time: 0.201, data_time: 0.007, memory: 52540, decode.loss_ce: 0.0393, decode.acc_seg: 88.8974, decode.kl_loss: 0.0587, loss: 0.0980 +2023-03-06 05:23:19,191 - mmseg - INFO - Iter [91350/160000] lr: 9.375e-06, eta: 4:38:30, time: 0.204, data_time: 0.007, memory: 52540, decode.loss_ce: 0.0382, decode.acc_seg: 89.2171, decode.kl_loss: 0.0568, loss: 0.0950 +2023-03-06 05:23:29,335 - mmseg - INFO - Iter [91400/160000] lr: 9.375e-06, eta: 4:38:16, time: 0.203, data_time: 0.008, memory: 52540, decode.loss_ce: 0.0376, decode.acc_seg: 89.3641, decode.kl_loss: 0.0550, loss: 0.0926 +2023-03-06 05:23:39,255 - mmseg - INFO - Iter [91450/160000] lr: 9.375e-06, eta: 4:38:03, time: 0.198, data_time: 0.007, memory: 52540, decode.loss_ce: 0.0387, decode.acc_seg: 89.2741, decode.kl_loss: 0.0559, loss: 0.0946 +2023-03-06 05:23:51,841 - mmseg - INFO - Iter [91500/160000] lr: 9.375e-06, eta: 4:37:51, time: 0.252, data_time: 0.056, memory: 52540, decode.loss_ce: 0.0380, decode.acc_seg: 89.3592, decode.kl_loss: 0.0566, loss: 0.0946 +2023-03-06 05:24:02,070 - mmseg - INFO - Iter [91550/160000] lr: 9.375e-06, eta: 4:37:37, time: 0.205, data_time: 0.007, memory: 52540, decode.loss_ce: 0.0359, decode.acc_seg: 89.8508, decode.kl_loss: 0.0562, loss: 0.0920 +2023-03-06 05:24:12,073 - mmseg - INFO - Iter [91600/160000] lr: 9.375e-06, eta: 4:37:23, time: 0.200, data_time: 0.007, memory: 52540, decode.loss_ce: 0.0375, decode.acc_seg: 89.5207, decode.kl_loss: 0.0554, loss: 0.0929 +2023-03-06 05:24:22,065 - mmseg - INFO - Iter [91650/160000] lr: 9.375e-06, eta: 4:37:10, time: 0.200, data_time: 0.007, memory: 52540, decode.loss_ce: 0.0371, decode.acc_seg: 89.5794, decode.kl_loss: 0.0573, loss: 0.0944 +2023-03-06 05:24:32,109 - mmseg - INFO - Iter [91700/160000] lr: 9.375e-06, eta: 4:36:56, time: 0.201, data_time: 0.007, memory: 52540, decode.loss_ce: 0.0370, decode.acc_seg: 89.7553, decode.kl_loss: 0.0545, loss: 0.0915 +2023-03-06 05:24:42,229 - mmseg - INFO - Iter [91750/160000] lr: 9.375e-06, eta: 4:36:42, time: 0.202, data_time: 0.007, memory: 52540, decode.loss_ce: 0.0362, decode.acc_seg: 89.8876, decode.kl_loss: 0.0571, loss: 0.0933 +2023-03-06 05:24:52,452 - mmseg - INFO - Iter [91800/160000] lr: 9.375e-06, eta: 4:36:29, time: 0.204, data_time: 0.007, memory: 52540, decode.loss_ce: 0.0385, decode.acc_seg: 89.4447, decode.kl_loss: 0.0523, loss: 0.0909 +2023-03-06 05:25:02,524 - mmseg - INFO - Iter [91850/160000] lr: 9.375e-06, eta: 4:36:15, time: 0.201, data_time: 0.007, memory: 52540, decode.loss_ce: 0.0373, decode.acc_seg: 89.4008, decode.kl_loss: 0.0586, loss: 0.0959 +2023-03-06 05:25:12,685 - mmseg - INFO - Iter [91900/160000] lr: 9.375e-06, eta: 4:36:01, time: 0.203, data_time: 0.007, memory: 52540, decode.loss_ce: 0.0366, decode.acc_seg: 89.8337, decode.kl_loss: 0.0543, loss: 0.0908 +2023-03-06 05:25:22,819 - mmseg - INFO - Iter [91950/160000] lr: 9.375e-06, eta: 4:35:48, time: 0.203, data_time: 0.007, memory: 52540, decode.loss_ce: 0.0377, decode.acc_seg: 89.4434, decode.kl_loss: 0.0543, loss: 0.0920 +2023-03-06 05:25:32,971 - mmseg - INFO - Exp name: ablation_segformer_mit_b2_segformer_head_unet_fc_small_multi_step_ade_pretrained_freeze_embed_160k_ade20k151_finetune_ema_ce.py +2023-03-06 05:25:32,971 - mmseg - INFO - Iter [92000/160000] lr: 9.375e-06, eta: 4:35:34, time: 0.203, data_time: 0.007, memory: 52540, decode.loss_ce: 0.0388, decode.acc_seg: 89.2298, decode.kl_loss: 0.0566, loss: 0.0953 +2023-03-06 05:25:42,985 - mmseg - INFO - Iter [92050/160000] lr: 9.375e-06, eta: 4:35:20, time: 0.200, data_time: 0.007, memory: 52540, decode.loss_ce: 0.0367, decode.acc_seg: 89.7234, decode.kl_loss: 0.0560, loss: 0.0927 +2023-03-06 05:25:53,049 - mmseg - INFO - Iter [92100/160000] lr: 9.375e-06, eta: 4:35:06, time: 0.201, data_time: 0.008, memory: 52540, decode.loss_ce: 0.0377, decode.acc_seg: 89.5773, decode.kl_loss: 0.0553, loss: 0.0930 +2023-03-06 05:26:05,794 - mmseg - INFO - Iter [92150/160000] lr: 9.375e-06, eta: 4:34:55, time: 0.255, data_time: 0.057, memory: 52540, decode.loss_ce: 0.0375, decode.acc_seg: 89.5400, decode.kl_loss: 0.0563, loss: 0.0937 +2023-03-06 05:26:15,900 - mmseg - INFO - Iter [92200/160000] lr: 9.375e-06, eta: 4:34:41, time: 0.202, data_time: 0.007, memory: 52540, decode.loss_ce: 0.0368, decode.acc_seg: 89.8629, decode.kl_loss: 0.0554, loss: 0.0922 +2023-03-06 05:26:26,222 - mmseg - INFO - Iter [92250/160000] lr: 9.375e-06, eta: 4:34:28, time: 0.206, data_time: 0.007, memory: 52540, decode.loss_ce: 0.0378, decode.acc_seg: 89.5024, decode.kl_loss: 0.0565, loss: 0.0943 +2023-03-06 05:26:36,193 - mmseg - INFO - Iter [92300/160000] lr: 9.375e-06, eta: 4:34:14, time: 0.199, data_time: 0.007, memory: 52540, decode.loss_ce: 0.0371, decode.acc_seg: 89.5711, decode.kl_loss: 0.0584, loss: 0.0955 +2023-03-06 05:26:46,312 - mmseg - INFO - Iter [92350/160000] lr: 9.375e-06, eta: 4:34:00, time: 0.202, data_time: 0.007, memory: 52540, decode.loss_ce: 0.0365, decode.acc_seg: 89.7007, decode.kl_loss: 0.0572, loss: 0.0937 +2023-03-06 05:26:56,206 - mmseg - INFO - Iter [92400/160000] lr: 9.375e-06, eta: 4:33:46, time: 0.198, data_time: 0.007, memory: 52540, decode.loss_ce: 0.0379, decode.acc_seg: 89.4428, decode.kl_loss: 0.0570, loss: 0.0948 +2023-03-06 05:27:06,173 - mmseg - INFO - Iter [92450/160000] lr: 9.375e-06, eta: 4:33:33, time: 0.199, data_time: 0.007, memory: 52540, decode.loss_ce: 0.0362, decode.acc_seg: 89.7924, decode.kl_loss: 0.0559, loss: 0.0921 +2023-03-06 05:27:16,082 - mmseg - INFO - Iter [92500/160000] lr: 9.375e-06, eta: 4:33:19, time: 0.198, data_time: 0.007, memory: 52540, decode.loss_ce: 0.0368, decode.acc_seg: 89.5952, decode.kl_loss: 0.0570, loss: 0.0938 +2023-03-06 05:27:26,113 - mmseg - INFO - Iter [92550/160000] lr: 9.375e-06, eta: 4:33:05, time: 0.201, data_time: 0.007, memory: 52540, decode.loss_ce: 0.0370, decode.acc_seg: 89.6476, decode.kl_loss: 0.0578, loss: 0.0947 +2023-03-06 05:27:36,199 - mmseg - INFO - Iter [92600/160000] lr: 9.375e-06, eta: 4:32:51, time: 0.202, data_time: 0.007, memory: 52540, decode.loss_ce: 0.0374, decode.acc_seg: 89.7097, decode.kl_loss: 0.0551, loss: 0.0925 +2023-03-06 05:27:46,302 - mmseg - INFO - Iter [92650/160000] lr: 9.375e-06, eta: 4:32:38, time: 0.202, data_time: 0.007, memory: 52540, decode.loss_ce: 0.0378, decode.acc_seg: 89.5002, decode.kl_loss: 0.0555, loss: 0.0934 +2023-03-06 05:27:56,323 - mmseg - INFO - Iter [92700/160000] lr: 9.375e-06, eta: 4:32:24, time: 0.200, data_time: 0.007, memory: 52540, decode.loss_ce: 0.0369, decode.acc_seg: 89.5483, decode.kl_loss: 0.0551, loss: 0.0920 +2023-03-06 05:28:06,537 - mmseg - INFO - Iter [92750/160000] lr: 9.375e-06, eta: 4:32:11, time: 0.204, data_time: 0.007, memory: 52540, decode.loss_ce: 0.0369, decode.acc_seg: 89.5043, decode.kl_loss: 0.0574, loss: 0.0943 +2023-03-06 05:28:19,020 - mmseg - INFO - Iter [92800/160000] lr: 9.375e-06, eta: 4:31:59, time: 0.250, data_time: 0.055, memory: 52540, decode.loss_ce: 0.0372, decode.acc_seg: 89.5012, decode.kl_loss: 0.0563, loss: 0.0935 +2023-03-06 05:28:29,262 - mmseg - INFO - Iter [92850/160000] lr: 9.375e-06, eta: 4:31:45, time: 0.205, data_time: 0.007, memory: 52540, decode.loss_ce: 0.0377, decode.acc_seg: 89.4269, decode.kl_loss: 0.0566, loss: 0.0943 +2023-03-06 05:28:39,371 - mmseg - INFO - Iter [92900/160000] lr: 9.375e-06, eta: 4:31:32, time: 0.202, data_time: 0.007, memory: 52540, decode.loss_ce: 0.0385, decode.acc_seg: 89.4022, decode.kl_loss: 0.0559, loss: 0.0943 +2023-03-06 05:28:49,460 - mmseg - INFO - Iter [92950/160000] lr: 9.375e-06, eta: 4:31:18, time: 0.202, data_time: 0.007, memory: 52540, decode.loss_ce: 0.0375, decode.acc_seg: 89.5216, decode.kl_loss: 0.0559, loss: 0.0934 +2023-03-06 05:28:59,574 - mmseg - INFO - Exp name: ablation_segformer_mit_b2_segformer_head_unet_fc_small_multi_step_ade_pretrained_freeze_embed_160k_ade20k151_finetune_ema_ce.py +2023-03-06 05:28:59,574 - mmseg - INFO - Iter [93000/160000] lr: 9.375e-06, eta: 4:31:04, time: 0.202, data_time: 0.007, memory: 52540, decode.loss_ce: 0.0370, decode.acc_seg: 89.7845, decode.kl_loss: 0.0549, loss: 0.0919 +2023-03-06 05:29:09,653 - mmseg - INFO - Iter [93050/160000] lr: 9.375e-06, eta: 4:30:51, time: 0.202, data_time: 0.007, memory: 52540, decode.loss_ce: 0.0378, decode.acc_seg: 89.6786, decode.kl_loss: 0.0549, loss: 0.0927 +2023-03-06 05:29:19,613 - mmseg - INFO - Iter [93100/160000] lr: 9.375e-06, eta: 4:30:37, time: 0.199, data_time: 0.007, memory: 52540, decode.loss_ce: 0.0365, decode.acc_seg: 89.7459, decode.kl_loss: 0.0555, loss: 0.0920 +2023-03-06 05:29:30,026 - mmseg - INFO - Iter [93150/160000] lr: 9.375e-06, eta: 4:30:24, time: 0.208, data_time: 0.007, memory: 52540, decode.loss_ce: 0.0352, decode.acc_seg: 89.9601, decode.kl_loss: 0.0559, loss: 0.0911 +2023-03-06 05:29:40,164 - mmseg - INFO - Iter [93200/160000] lr: 9.375e-06, eta: 4:30:10, time: 0.203, data_time: 0.007, memory: 52540, decode.loss_ce: 0.0379, decode.acc_seg: 89.3361, decode.kl_loss: 0.0580, loss: 0.0959 +2023-03-06 05:29:50,071 - mmseg - INFO - Iter [93250/160000] lr: 9.375e-06, eta: 4:29:56, time: 0.198, data_time: 0.007, memory: 52540, decode.loss_ce: 0.0380, decode.acc_seg: 89.3887, decode.kl_loss: 0.0586, loss: 0.0966 +2023-03-06 05:30:00,092 - mmseg - INFO - Iter [93300/160000] lr: 9.375e-06, eta: 4:29:43, time: 0.200, data_time: 0.007, memory: 52540, decode.loss_ce: 0.0380, decode.acc_seg: 89.6876, decode.kl_loss: 0.0589, loss: 0.0968 +2023-03-06 05:30:10,268 - mmseg - INFO - Iter [93350/160000] lr: 9.375e-06, eta: 4:29:29, time: 0.204, data_time: 0.007, memory: 52540, decode.loss_ce: 0.0361, decode.acc_seg: 89.9032, decode.kl_loss: 0.0584, loss: 0.0945 +2023-03-06 05:30:23,068 - mmseg - INFO - Iter [93400/160000] lr: 9.375e-06, eta: 4:29:18, time: 0.256, data_time: 0.057, memory: 52540, decode.loss_ce: 0.0371, decode.acc_seg: 89.5960, decode.kl_loss: 0.0652, loss: 0.1024 +2023-03-06 05:30:33,215 - mmseg - INFO - Iter [93450/160000] lr: 9.375e-06, eta: 4:29:04, time: 0.203, data_time: 0.007, memory: 52540, decode.loss_ce: 0.0368, decode.acc_seg: 89.6724, decode.kl_loss: 0.0601, loss: 0.0969 +2023-03-06 05:30:43,571 - mmseg - INFO - Iter [93500/160000] lr: 9.375e-06, eta: 4:28:51, time: 0.207, data_time: 0.008, memory: 52540, decode.loss_ce: 0.0376, decode.acc_seg: 89.5088, decode.kl_loss: 0.0606, loss: 0.0982 +2023-03-06 05:30:53,939 - mmseg - INFO - Iter [93550/160000] lr: 9.375e-06, eta: 4:28:37, time: 0.207, data_time: 0.007, memory: 52540, decode.loss_ce: 0.0344, decode.acc_seg: 90.2532, decode.kl_loss: 0.0592, loss: 0.0936 +2023-03-06 05:31:04,148 - mmseg - INFO - Iter [93600/160000] lr: 9.375e-06, eta: 4:28:24, time: 0.204, data_time: 0.007, memory: 52540, decode.loss_ce: 0.0364, decode.acc_seg: 89.8301, decode.kl_loss: 0.0577, loss: 0.0941 +2023-03-06 05:31:14,326 - mmseg - INFO - Iter [93650/160000] lr: 9.375e-06, eta: 4:28:10, time: 0.204, data_time: 0.007, memory: 52540, decode.loss_ce: 0.0373, decode.acc_seg: 89.7728, decode.kl_loss: 0.0571, loss: 0.0944 +2023-03-06 05:31:24,640 - mmseg - INFO - Iter [93700/160000] lr: 9.375e-06, eta: 4:27:57, time: 0.206, data_time: 0.007, memory: 52540, decode.loss_ce: 0.0371, decode.acc_seg: 89.6311, decode.kl_loss: 0.0574, loss: 0.0945 +2023-03-06 05:31:34,837 - mmseg - INFO - Iter [93750/160000] lr: 9.375e-06, eta: 4:27:43, time: 0.204, data_time: 0.007, memory: 52540, decode.loss_ce: 0.0369, decode.acc_seg: 89.5489, decode.kl_loss: 0.0615, loss: 0.0984 +2023-03-06 05:31:44,794 - mmseg - INFO - Iter [93800/160000] lr: 9.375e-06, eta: 4:27:30, time: 0.199, data_time: 0.007, memory: 52540, decode.loss_ce: 0.0372, decode.acc_seg: 89.6019, decode.kl_loss: 0.0605, loss: 0.0976 +2023-03-06 05:31:54,883 - mmseg - INFO - Iter [93850/160000] lr: 9.375e-06, eta: 4:27:16, time: 0.202, data_time: 0.007, memory: 52540, decode.loss_ce: 0.0377, decode.acc_seg: 89.5717, decode.kl_loss: 0.0593, loss: 0.0969 +2023-03-06 05:32:05,084 - mmseg - INFO - Iter [93900/160000] lr: 9.375e-06, eta: 4:27:03, time: 0.204, data_time: 0.007, memory: 52540, decode.loss_ce: 0.0378, decode.acc_seg: 89.5142, decode.kl_loss: 0.0578, loss: 0.0955 +2023-03-06 05:32:15,008 - mmseg - INFO - Iter [93950/160000] lr: 9.375e-06, eta: 4:26:49, time: 0.198, data_time: 0.007, memory: 52540, decode.loss_ce: 0.0371, decode.acc_seg: 89.7032, decode.kl_loss: 0.0581, loss: 0.0952 +2023-03-06 05:32:24,974 - mmseg - INFO - Exp name: ablation_segformer_mit_b2_segformer_head_unet_fc_small_multi_step_ade_pretrained_freeze_embed_160k_ade20k151_finetune_ema_ce.py +2023-03-06 05:32:24,974 - mmseg - INFO - Iter [94000/160000] lr: 9.375e-06, eta: 4:26:35, time: 0.199, data_time: 0.007, memory: 52540, decode.loss_ce: 0.0368, decode.acc_seg: 89.6244, decode.kl_loss: 0.0617, loss: 0.0986 +2023-03-06 05:32:37,604 - mmseg - INFO - Iter [94050/160000] lr: 9.375e-06, eta: 4:26:24, time: 0.253, data_time: 0.055, memory: 52540, decode.loss_ce: 0.0378, decode.acc_seg: 89.5970, decode.kl_loss: 0.0590, loss: 0.0968 +2023-03-06 05:32:47,767 - mmseg - INFO - Iter [94100/160000] lr: 9.375e-06, eta: 4:26:10, time: 0.203, data_time: 0.007, memory: 52540, decode.loss_ce: 0.0371, decode.acc_seg: 89.7626, decode.kl_loss: 0.0567, loss: 0.0937 +2023-03-06 05:32:58,088 - mmseg - INFO - Iter [94150/160000] lr: 9.375e-06, eta: 4:25:57, time: 0.206, data_time: 0.007, memory: 52540, decode.loss_ce: 0.0397, decode.acc_seg: 88.9775, decode.kl_loss: 0.0610, loss: 0.1007 +2023-03-06 05:33:08,281 - mmseg - INFO - Iter [94200/160000] lr: 9.375e-06, eta: 4:25:43, time: 0.204, data_time: 0.007, memory: 52540, decode.loss_ce: 0.0368, decode.acc_seg: 89.6998, decode.kl_loss: 0.0560, loss: 0.0928 +2023-03-06 05:33:18,365 - mmseg - INFO - Iter [94250/160000] lr: 9.375e-06, eta: 4:25:30, time: 0.202, data_time: 0.007, memory: 52540, decode.loss_ce: 0.0392, decode.acc_seg: 89.1588, decode.kl_loss: 0.0588, loss: 0.0980 +2023-03-06 05:33:28,552 - mmseg - INFO - Iter [94300/160000] lr: 9.375e-06, eta: 4:25:16, time: 0.204, data_time: 0.007, memory: 52540, decode.loss_ce: 0.0377, decode.acc_seg: 89.5921, decode.kl_loss: 0.0570, loss: 0.0947 +2023-03-06 05:33:38,591 - mmseg - INFO - Iter [94350/160000] lr: 9.375e-06, eta: 4:25:03, time: 0.201, data_time: 0.007, memory: 52540, decode.loss_ce: 0.0370, decode.acc_seg: 89.7865, decode.kl_loss: 0.0605, loss: 0.0975 +2023-03-06 05:33:48,665 - mmseg - INFO - Iter [94400/160000] lr: 9.375e-06, eta: 4:24:49, time: 0.201, data_time: 0.007, memory: 52540, decode.loss_ce: 0.0371, decode.acc_seg: 89.6071, decode.kl_loss: 0.0565, loss: 0.0935 +2023-03-06 05:33:58,802 - mmseg - INFO - Iter [94450/160000] lr: 9.375e-06, eta: 4:24:36, time: 0.203, data_time: 0.007, memory: 52540, decode.loss_ce: 0.0381, decode.acc_seg: 89.4170, decode.kl_loss: 0.0586, loss: 0.0968 +2023-03-06 05:34:08,753 - mmseg - INFO - Iter [94500/160000] lr: 9.375e-06, eta: 4:24:22, time: 0.199, data_time: 0.007, memory: 52540, decode.loss_ce: 0.0383, decode.acc_seg: 89.3218, decode.kl_loss: 0.0616, loss: 0.0998 +2023-03-06 05:34:18,854 - mmseg - INFO - Iter [94550/160000] lr: 9.375e-06, eta: 4:24:09, time: 0.202, data_time: 0.007, memory: 52540, decode.loss_ce: 0.0362, decode.acc_seg: 89.9365, decode.kl_loss: 0.0568, loss: 0.0930 +2023-03-06 05:34:29,241 - mmseg - INFO - Iter [94600/160000] lr: 9.375e-06, eta: 4:23:55, time: 0.208, data_time: 0.007, memory: 52540, decode.loss_ce: 0.0389, decode.acc_seg: 89.2123, decode.kl_loss: 0.0617, loss: 0.1006 +2023-03-06 05:34:39,233 - mmseg - INFO - Iter [94650/160000] lr: 9.375e-06, eta: 4:23:42, time: 0.200, data_time: 0.007, memory: 52540, decode.loss_ce: 0.0371, decode.acc_seg: 89.5745, decode.kl_loss: 0.0614, loss: 0.0985 +2023-03-06 05:34:51,789 - mmseg - INFO - Iter [94700/160000] lr: 9.375e-06, eta: 4:23:30, time: 0.251, data_time: 0.053, memory: 52540, decode.loss_ce: 0.0367, decode.acc_seg: 89.6477, decode.kl_loss: 0.0590, loss: 0.0957 +2023-03-06 05:35:02,157 - mmseg - INFO - Iter [94750/160000] lr: 9.375e-06, eta: 4:23:17, time: 0.207, data_time: 0.007, memory: 52540, decode.loss_ce: 0.0379, decode.acc_seg: 89.4456, decode.kl_loss: 0.0602, loss: 0.0980 +2023-03-06 05:35:12,401 - mmseg - INFO - Iter [94800/160000] lr: 9.375e-06, eta: 4:23:03, time: 0.205, data_time: 0.007, memory: 52540, decode.loss_ce: 0.0378, decode.acc_seg: 89.5872, decode.kl_loss: 0.0578, loss: 0.0956 +2023-03-06 05:35:22,280 - mmseg - INFO - Iter [94850/160000] lr: 9.375e-06, eta: 4:22:50, time: 0.198, data_time: 0.007, memory: 52540, decode.loss_ce: 0.0365, decode.acc_seg: 89.8319, decode.kl_loss: 0.0579, loss: 0.0944 +2023-03-06 05:35:32,328 - mmseg - INFO - Iter [94900/160000] lr: 9.375e-06, eta: 4:22:36, time: 0.201, data_time: 0.007, memory: 52540, decode.loss_ce: 0.0377, decode.acc_seg: 89.4035, decode.kl_loss: 0.0583, loss: 0.0961 +2023-03-06 05:35:42,355 - mmseg - INFO - Iter [94950/160000] lr: 9.375e-06, eta: 4:22:23, time: 0.201, data_time: 0.007, memory: 52540, decode.loss_ce: 0.0369, decode.acc_seg: 89.5238, decode.kl_loss: 0.0625, loss: 0.0994 +2023-03-06 05:35:52,391 - mmseg - INFO - Exp name: ablation_segformer_mit_b2_segformer_head_unet_fc_small_multi_step_ade_pretrained_freeze_embed_160k_ade20k151_finetune_ema_ce.py +2023-03-06 05:35:52,391 - mmseg - INFO - Iter [95000/160000] lr: 9.375e-06, eta: 4:22:09, time: 0.201, data_time: 0.007, memory: 52540, decode.loss_ce: 0.0376, decode.acc_seg: 89.4804, decode.kl_loss: 0.0575, loss: 0.0950 +2023-03-06 05:36:02,460 - mmseg - INFO - Iter [95050/160000] lr: 9.375e-06, eta: 4:21:56, time: 0.201, data_time: 0.007, memory: 52540, decode.loss_ce: 0.0373, decode.acc_seg: 89.5791, decode.kl_loss: 0.0597, loss: 0.0970 +2023-03-06 05:36:12,561 - mmseg - INFO - Iter [95100/160000] lr: 9.375e-06, eta: 4:21:42, time: 0.202, data_time: 0.007, memory: 52540, decode.loss_ce: 0.0383, decode.acc_seg: 89.3164, decode.kl_loss: 0.0584, loss: 0.0967 +2023-03-06 05:36:22,511 - mmseg - INFO - Iter [95150/160000] lr: 9.375e-06, eta: 4:21:29, time: 0.199, data_time: 0.007, memory: 52540, decode.loss_ce: 0.0376, decode.acc_seg: 89.6185, decode.kl_loss: 0.0578, loss: 0.0955 +2023-03-06 05:36:32,544 - mmseg - INFO - Iter [95200/160000] lr: 9.375e-06, eta: 4:21:15, time: 0.201, data_time: 0.008, memory: 52540, decode.loss_ce: 0.0379, decode.acc_seg: 89.4745, decode.kl_loss: 0.0597, loss: 0.0976 +2023-03-06 05:36:42,683 - mmseg - INFO - Iter [95250/160000] lr: 9.375e-06, eta: 4:21:02, time: 0.203, data_time: 0.007, memory: 52540, decode.loss_ce: 0.0371, decode.acc_seg: 89.4916, decode.kl_loss: 0.0601, loss: 0.0972 +2023-03-06 05:36:55,138 - mmseg - INFO - Iter [95300/160000] lr: 9.375e-06, eta: 4:20:50, time: 0.249, data_time: 0.056, memory: 52540, decode.loss_ce: 0.0376, decode.acc_seg: 89.3611, decode.kl_loss: 0.0616, loss: 0.0993 +2023-03-06 05:37:05,337 - mmseg - INFO - Iter [95350/160000] lr: 9.375e-06, eta: 4:20:36, time: 0.204, data_time: 0.007, memory: 52540, decode.loss_ce: 0.0367, decode.acc_seg: 89.8551, decode.kl_loss: 0.0567, loss: 0.0935 +2023-03-06 05:37:15,495 - mmseg - INFO - Iter [95400/160000] lr: 9.375e-06, eta: 4:20:23, time: 0.203, data_time: 0.007, memory: 52540, decode.loss_ce: 0.0373, decode.acc_seg: 89.5453, decode.kl_loss: 0.0601, loss: 0.0974 +2023-03-06 05:37:25,590 - mmseg - INFO - Iter [95450/160000] lr: 9.375e-06, eta: 4:20:10, time: 0.202, data_time: 0.008, memory: 52540, decode.loss_ce: 0.0372, decode.acc_seg: 89.5090, decode.kl_loss: 0.0600, loss: 0.0972 +2023-03-06 05:37:35,538 - mmseg - INFO - Iter [95500/160000] lr: 9.375e-06, eta: 4:19:56, time: 0.199, data_time: 0.007, memory: 52540, decode.loss_ce: 0.0374, decode.acc_seg: 89.5450, decode.kl_loss: 0.0585, loss: 0.0960 +2023-03-06 05:37:45,476 - mmseg - INFO - Iter [95550/160000] lr: 9.375e-06, eta: 4:19:43, time: 0.199, data_time: 0.007, memory: 52540, decode.loss_ce: 0.0372, decode.acc_seg: 89.5908, decode.kl_loss: 0.0587, loss: 0.0959 +2023-03-06 05:37:55,487 - mmseg - INFO - Iter [95600/160000] lr: 9.375e-06, eta: 4:19:29, time: 0.200, data_time: 0.007, memory: 52540, decode.loss_ce: 0.0366, decode.acc_seg: 89.8821, decode.kl_loss: 0.0588, loss: 0.0953 +2023-03-06 05:38:05,427 - mmseg - INFO - Iter [95650/160000] lr: 9.375e-06, eta: 4:19:15, time: 0.199, data_time: 0.007, memory: 52540, decode.loss_ce: 0.0358, decode.acc_seg: 89.9257, decode.kl_loss: 0.0613, loss: 0.0971 +2023-03-06 05:38:15,538 - mmseg - INFO - Iter [95700/160000] lr: 9.375e-06, eta: 4:19:02, time: 0.202, data_time: 0.007, memory: 52540, decode.loss_ce: 0.0378, decode.acc_seg: 89.3594, decode.kl_loss: 0.0611, loss: 0.0989 +2023-03-06 05:38:25,551 - mmseg - INFO - Iter [95750/160000] lr: 9.375e-06, eta: 4:18:49, time: 0.200, data_time: 0.007, memory: 52540, decode.loss_ce: 0.0366, decode.acc_seg: 89.6748, decode.kl_loss: 0.0628, loss: 0.0994 +2023-03-06 05:38:35,741 - mmseg - INFO - Iter [95800/160000] lr: 9.375e-06, eta: 4:18:35, time: 0.204, data_time: 0.008, memory: 52540, decode.loss_ce: 0.0374, decode.acc_seg: 89.5195, decode.kl_loss: 0.0634, loss: 0.1008 +2023-03-06 05:38:45,720 - mmseg - INFO - Iter [95850/160000] lr: 9.375e-06, eta: 4:18:22, time: 0.200, data_time: 0.007, memory: 52540, decode.loss_ce: 0.0370, decode.acc_seg: 89.6359, decode.kl_loss: 0.0604, loss: 0.0974 +2023-03-06 05:38:55,763 - mmseg - INFO - Iter [95900/160000] lr: 9.375e-06, eta: 4:18:08, time: 0.201, data_time: 0.007, memory: 52540, decode.loss_ce: 0.0375, decode.acc_seg: 89.3604, decode.kl_loss: 0.0600, loss: 0.0976 +2023-03-06 05:39:08,342 - mmseg - INFO - Iter [95950/160000] lr: 9.375e-06, eta: 4:17:57, time: 0.252, data_time: 0.054, memory: 52540, decode.loss_ce: 0.0370, decode.acc_seg: 89.4956, decode.kl_loss: 0.0600, loss: 0.0970 +2023-03-06 05:39:18,632 - mmseg - INFO - Swap parameters (after train) after iter [96000] +2023-03-06 05:39:18,645 - mmseg - INFO - Saving checkpoint at 96000 iterations +2023-03-06 05:39:19,671 - mmseg - INFO - Exp name: ablation_segformer_mit_b2_segformer_head_unet_fc_small_multi_step_ade_pretrained_freeze_embed_160k_ade20k151_finetune_ema_ce.py +2023-03-06 05:39:19,672 - mmseg - INFO - Iter [96000/160000] lr: 9.375e-06, eta: 4:17:44, time: 0.227, data_time: 0.007, memory: 52540, decode.loss_ce: 0.0376, decode.acc_seg: 89.4439, decode.kl_loss: 0.0615, loss: 0.0991 +2023-03-06 05:50:10,837 - mmseg - INFO - per class results: +2023-03-06 05:50:10,846 - mmseg - INFO - ++---------------------+-------------------------------------------------------------------+ +| Class | IoU 0,10,20,30,40,50,60,70,80,90,99 | ++---------------------+-------------------------------------------------------------------+ +| background | nan,nan,nan,nan,nan,nan,nan,nan,nan,nan,nan | +| wall | 74.85,75.1,75.12,75.11,75.1,75.08,75.08,75.07,75.07,75.05,74.96 | +| building | 80.44,80.58,80.58,80.57,80.56,80.54,80.52,80.51,80.5,80.46,80.37 | +| sky | 93.72,93.82,93.82,93.82,93.81,93.8,93.79,93.77,93.76,93.72,93.65 | +| floor | 79.45,79.66,79.65,79.63,79.61,79.6,79.55,79.51,79.47,79.4,79.27 | +| tree | 72.26,72.48,72.5,72.47,72.46,72.44,72.42,72.38,72.34,72.26,72.1 | +| ceiling | 82.98,83.29,83.31,83.3,83.28,83.27,83.22,83.18,83.14,83.08,83.0 | +| road | 80.2,80.42,80.4,80.38,80.37,80.34,80.32,80.29,80.26,80.18,80.05 | +| bed | 84.96,85.29,85.3,85.3,85.25,85.22,85.17,85.11,85.06,85.0,84.93 | +| windowpane | 56.56,56.96,56.97,56.96,56.9,56.86,56.85,56.79,56.72,56.59,56.36 | +| grass | 65.24,65.64,65.72,65.77,65.83,65.8,65.82,65.77,65.7,65.6,65.48 | +| cabinet | 57.76,58.1,58.11,58.1,58.06,58.01,57.98,57.9,57.79,57.67,57.4 | +| sidewalk | 59.51,59.91,59.83,59.8,59.76,59.69,59.66,59.55,59.47,59.3,59.07 | +| person | 77.03,77.33,77.31,77.3,77.29,77.27,77.22,77.18,77.14,77.03,76.79 | +| earth | 35.11,35.14,35.19,35.19,35.23,35.2,35.25,35.24,35.23,35.21,35.13 | +| door | 34.82,35.67,35.58,35.51,35.39,35.23,35.12,34.99,34.9,34.75,34.43 | +| table | 53.34,54.0,54.02,53.98,53.94,53.89,53.83,53.71,53.54,53.28,52.88 | +| mountain | 55.28,55.54,55.56,55.55,55.6,55.58,55.59,55.58,55.53,55.5,55.51 | +| plant | 48.17,48.54,48.48,48.5,48.5,48.48,48.48,48.49,48.45,48.44,48.35 | +| curtain | 70.87,71.34,71.45,71.47,71.45,71.36,71.37,71.4,71.25,71.19,70.96 | +| chair | 49.24,49.81,49.79,49.75,49.64,49.61,49.5,49.42,49.25,48.99,48.6 | +| car | 80.49,80.7,80.72,80.71,80.73,80.74,80.7,80.66,80.6,80.45,80.34 | +| water | 57.74,57.73,57.77,57.8,57.82,57.84,57.84,57.88,57.87,57.83,57.8 | +| painting | 67.7,68.14,68.07,68.04,67.97,67.97,67.88,67.81,67.76,67.6,67.31 | +| sofa | 59.12,59.7,59.65,59.62,59.55,59.49,59.51,59.48,59.4,59.3,59.11 | +| shelf | 41.61,42.2,42.1,42.17,42.16,42.13,42.1,42.04,41.95,41.8,41.48 | +| house | 37.31,37.2,37.23,37.29,37.38,37.42,37.57,37.75,37.95,38.37,38.76 | +| sea | 59.89,60.17,60.22,60.26,60.31,60.34,60.32,60.33,60.37,60.32,60.28 | +| mirror | 59.59,60.08,60.12,60.1,60.13,60.13,60.07,60.1,60.08,60.09,60.17 | +| rug | 59.4,59.83,59.87,59.8,59.82,59.79,59.7,59.62,59.73,59.63,59.53 | +| field | 29.47,29.81,29.85,29.88,29.9,29.83,29.84,29.76,29.67,29.55,29.46 | +| armchair | 33.61,34.16,34.17,34.32,34.19,34.11,34.17,34.06,34.0,33.88,33.68 | +| seat | 64.28,64.59,64.54,64.56,64.55,64.53,64.53,64.46,64.48,64.37,64.27 | +| fence | 38.19,38.46,38.49,38.78,38.87,38.83,38.89,39.0,39.1,39.19,39.18 | +| desk | 43.24,43.77,43.77,43.85,43.78,43.88,43.85,43.77,43.67,43.55,43.42 | +| rock | 32.41,32.93,32.83,32.63,32.51,32.3,32.19,32.09,31.96,31.74,31.4 | +| wardrobe | 53.78,54.37,54.39,54.53,54.48,54.47,54.51,54.44,54.31,54.22,54.16 | +| lamp | 56.38,57.09,57.0,57.04,56.93,56.94,56.89,56.83,56.75,56.74,56.6 | +| bathtub | 72.8,72.91,72.93,72.88,72.81,72.86,72.82,72.78,72.83,72.87,72.86 | +| railing | 32.58,32.85,32.99,33.05,33.0,33.05,33.08,33.01,33.0,32.92,32.78 | +| cushion | 45.44,46.42,46.38,46.31,46.24,46.17,46.07,45.97,45.87,45.54,44.93 | +| base | 19.66,20.06,20.0,20.08,20.09,19.97,20.03,20.11,20.14,20.21,20.26 | +| box | 20.66,21.11,21.1,21.09,21.1,21.03,20.97,21.01,20.96,20.89,20.82 | +| column | 40.78,41.15,41.21,41.38,41.44,41.51,41.71,41.83,41.85,42.0,41.99 | +| signboard | 33.03,33.68,33.83,33.77,33.75,33.84,33.98,33.95,34.06,34.05,33.98 | +| chest of drawers | 34.57,34.62,34.6,34.74,34.76,34.75,34.73,34.78,34.71,34.65,34.4 | +| counter | 30.94,30.91,31.04,31.17,31.21,31.25,31.34,31.27,31.32,31.23,31.09 | +| sand | 37.46,37.76,37.85,37.92,37.96,38.01,37.99,38.11,38.22,38.3,38.31 | +| sink | 62.61,62.95,62.98,62.9,62.89,62.85,62.87,62.83,62.73,62.6,62.35 | +| skyscraper | 52.82,52.02,51.91,51.93,52.04,52.2,52.05,52.27,52.41,52.65,52.75 | +| fireplace | 71.41,71.94,72.0,72.08,71.98,72.0,71.81,71.74,71.56,71.39,71.23 | +| refrigerator | 69.66,70.03,70.11,70.24,70.1,70.12,70.06,70.02,70.01,70.04,70.08 | +| grandstand | 48.88,49.01,49.04,49.04,49.24,49.07,49.08,49.11,49.01,48.9,48.83 | +| path | 19.71,19.81,19.81,19.68,19.74,19.69,19.67,19.7,19.69,19.81,19.79 | +| stairs | 30.55,30.51,30.52,30.57,30.52,30.57,30.58,30.55,30.65,30.68,30.71 | +| runway | 65.32,65.74,65.76,65.77,65.75,65.64,65.7,65.59,65.57,65.59,65.47 | +| case | 45.67,46.22,46.29,46.31,46.51,46.36,46.3,46.21,46.04,45.99,45.9 | +| pool table | 89.87,90.08,90.03,89.96,90.01,89.98,89.92,89.94,90.02,90.05,90.04 | +| pillow | 48.77,49.27,49.23,49.16,49.08,49.02,48.95,48.76,48.71,48.64,48.65 | +| screen door | 60.87,61.27,61.68,61.88,62.08,61.96,62.14,62.04,62.18,62.39,62.56 | +| stairway | 22.13,22.38,22.38,22.38,22.47,22.44,22.44,22.39,22.33,22.37,22.39 | +| river | 12.27,12.19,12.21,12.21,12.2,12.28,12.27,12.31,12.31,12.27,12.26 | +| bridge | 34.57,34.44,34.74,34.89,35.01,35.02,35.09,35.19,35.08,34.9,35.0 | +| bookcase | 42.97,43.46,43.64,43.59,43.63,43.64,43.64,43.77,43.87,43.67,43.41 | +| blind | 33.22,33.77,33.79,33.58,33.49,33.38,33.41,33.44,33.43,33.56,33.44 | +| coffee table | 51.74,52.06,52.16,52.06,52.07,52.04,51.99,51.91,51.74,51.56,51.34 | +| toilet | 80.11,80.13,80.14,80.09,80.32,80.26,80.31,80.35,80.21,80.09,79.9 | +| flower | 36.81,37.32,37.36,37.24,37.19,37.09,37.07,36.97,37.0,36.78,36.57 | +| book | 38.69,39.2,39.08,39.04,38.94,38.76,38.6,38.55,38.43,38.21,37.87 | +| hill | 12.93,12.94,13.06,13.01,12.97,13.02,13.16,13.05,13.17,13.15,13.13 | +| bench | 39.96,40.82,40.84,40.8,40.9,40.75,40.58,40.43,40.32,40.11,39.84 | +| countertop | 49.88,50.2,50.25,50.27,50.11,50.06,50.05,50.08,50.06,50.02,49.98 | +| stove | 67.13,67.56,67.64,67.65,67.73,67.72,67.59,67.64,67.59,67.48,67.43 | +| palm | 47.09,47.28,47.33,47.24,47.3,47.25,47.26,47.29,47.24,47.3,47.21 | +| kitchen island | 31.15,31.58,31.63,31.55,31.58,31.5,31.3,31.31,31.05,30.86,30.79 | +| computer | 55.44,55.97,56.0,56.05,55.96,55.97,55.86,55.94,55.76,55.63,55.53 | +| swivel chair | 42.89,42.68,42.91,42.96,42.9,43.03,43.01,43.06,43.02,43.17,43.17 | +| boat | 66.47,67.27,67.24,67.45,67.56,67.62,67.67,67.48,67.69,67.65,67.36 | +| bar | 22.77,22.83,22.86,22.97,22.97,22.97,22.99,23.08,23.18,23.27,23.31 | +| arcade machine | 66.77,67.57,67.67,67.9,68.1,68.14,68.42,68.62,69.03,69.46,69.77 | +| hovel | 32.58,31.18,30.95,31.73,32.14,32.66,33.15,33.43,34.13,34.58,34.81 | +| bus | 74.13,73.8,73.81,73.84,73.81,73.77,73.93,73.87,73.98,74.05,74.27 | +| towel | 56.96,57.15,57.38,57.47,57.43,57.52,57.5,57.62,57.63,57.68,57.6 | +| light | 47.27,47.27,47.42,47.62,47.67,47.84,47.61,47.76,47.55,47.47,47.44 | +| truck | 21.18,21.76,21.81,21.78,21.88,21.46,21.73,21.27,21.17,20.99,21.03 | +| tower | 11.42,11.45,11.49,11.49,11.54,11.57,11.59,11.59,11.63,11.58,11.52 | +| chandelier | 61.48,62.03,61.85,61.99,61.71,61.88,61.74,61.7,61.6,61.46,61.31 | +| awning | 20.19,20.5,20.39,20.4,20.27,20.13,20.2,20.22,20.27,20.34,20.47 | +| streetlight | 21.72,21.66,21.74,21.74,21.76,21.8,21.86,21.97,21.96,22.05,22.09 | +| booth | 38.35,38.61,38.26,38.35,38.34,38.34,38.51,38.47,38.49,38.67,38.89 | +| television receiver | 62.5,62.85,63.0,62.97,62.83,62.93,62.86,62.73,62.73,62.68,62.65 | +| airplane | 57.97,58.55,58.55,58.8,58.65,58.82,58.51,58.6,58.77,58.8,58.62 | +| dirt track | 11.19,12.41,12.32,12.2,12.54,12.21,12.19,12.09,11.96,12.05,12.03 | +| apparel | 32.18,33.38,33.58,33.76,33.58,33.44,33.29,33.19,33.01,32.78,32.68 | +| pole | 7.0,7.99,8.04,7.86,7.87,7.84,7.84,8.01,7.99,8.0,8.1 | +| land | 3.79,3.87,3.92,4.07,4.06,4.03,3.87,3.8,3.75,3.8,3.95 | +| bannister | 8.97,8.75,8.92,8.93,8.96,9.03,9.09,9.4,9.4,9.6,9.66 | +| escalator | 22.99,23.36,23.27,23.48,23.29,23.43,23.41,23.5,23.56,23.67,23.81 | +| ottoman | 37.51,38.21,38.25,38.31,38.18,38.17,38.08,38.16,38.01,37.97,37.86 | +| bottle | 30.8,30.18,30.04,30.26,30.26,30.33,30.15,30.3,30.37,30.65,30.99 | +| buffet | 35.6,35.46,35.42,35.45,35.79,36.04,36.36,36.63,37.09,37.6,37.99 | +| poster | 21.14,21.23,21.39,21.25,21.4,21.42,21.27,21.51,21.49,21.46,21.49 | +| stage | 13.3,13.33,13.35,13.4,13.15,13.14,13.01,12.86,12.96,13.0,13.15 | +| van | 37.38,37.71,37.7,37.6,37.58,37.79,37.72,37.69,37.71,37.56,37.54 | +| ship | 75.44,74.77,74.71,75.05,75.36,75.61,75.68,75.79,75.84,75.92,75.83 | +| fountain | 10.83,10.77,10.56,10.56,10.28,10.03,10.01,10.08,10.17,10.52,10.83 | +| conveyer belt | 77.16,77.95,77.99,78.2,78.01,78.07,77.84,77.81,77.5,77.35,76.97 | +| canopy | 18.27,19.43,19.65,19.68,19.5,19.33,19.37,19.54,19.27,19.21,18.97 | +| washer | 71.48,71.86,72.04,71.74,71.72,71.79,71.63,71.79,72.16,72.65,73.05 | +| plaything | 15.1,15.79,15.75,15.8,15.77,15.86,15.62,15.89,15.82,15.64,15.64 | +| swimming pool | 71.78,72.39,72.87,73.31,73.22,73.29,73.25,73.26,73.47,73.39,73.51 | +| stool | 35.16,35.54,35.64,35.8,35.71,36.0,36.09,35.98,36.13,35.97,35.94 | +| barrel | 25.0,25.52,27.47,28.26,28.37,29.37,30.0,30.59,30.04,30.51,30.09 | +| basket | 21.52,22.23,22.16,22.1,22.28,22.27,22.24,22.14,21.98,21.92,21.74 | +| waterfall | 51.52,51.74,51.86,51.65,51.34,51.4,51.28,50.95,50.84,50.6,50.63 | +| tent | 90.17,91.57,91.57,91.73,91.65,91.64,91.6,91.57,91.26,91.02,90.68 | +| bag | 12.59,11.78,11.84,12.0,12.1,12.14,12.19,12.37,12.41,12.34,12.34 | +| minibike | 54.37,56.77,56.88,56.95,56.16,56.47,56.7,56.5,56.98,57.12,57.24 | +| cradle | 81.44,81.56,81.68,81.71,81.78,81.54,81.79,81.95,82.04,82.15,82.25 | +| oven | 43.81,44.68,44.65,45.02,45.22,45.16,45.18,45.42,45.61,45.6,45.79 | +| ball | 42.94,43.71,43.24,43.13,42.78,42.55,42.53,42.08,41.73,41.39,40.91 | +| food | 50.03,50.86,51.01,51.26,51.32,51.65,51.65,51.67,51.36,51.12,50.74 | +| step | 6.81,6.57,6.7,6.48,6.46,6.52,6.43,6.25,6.26,6.08,6.02 | +| tank | 51.06,51.65,51.47,51.59,51.47,51.51,51.46,51.54,51.5,51.57,51.6 | +| trade name | 27.15,27.16,27.25,27.14,27.09,27.08,27.13,26.96,27.07,27.07,27.24 | +| microwave | 72.46,73.33,73.56,73.63,73.76,73.84,73.88,73.83,73.86,73.88,73.94 | +| pot | 22.82,23.06,22.94,23.0,23.25,23.35,23.31,23.34,23.44,23.45,23.75 | +| animal | 51.02,51.37,51.32,51.34,51.24,51.19,51.29,51.13,51.16,51.18,51.31 | +| bicycle | 46.66,46.38,46.43,46.76,47.08,46.95,47.27,47.46,47.5,47.42,47.17 | +| lake | 55.4,55.45,55.6,55.74,55.87,55.94,56.04,56.08,56.19,56.26,56.15 | +| dishwasher | 54.61,55.89,55.92,55.96,55.95,56.13,55.81,55.82,55.71,55.49,55.01 | +| screen | 57.32,59.13,59.17,59.19,59.21,58.97,59.15,58.65,58.49,58.41,58.12 | +| blanket | 15.46,15.5,15.6,15.52,15.63,15.64,15.73,15.82,15.92,15.99,16.09 | +| sculpture | 55.83,56.13,56.48,56.41,56.7,56.73,56.76,56.76,56.64,56.31,55.72 | +| hood | 50.75,51.29,52.03,52.16,52.05,52.34,52.23,52.36,52.29,52.2,52.11 | +| sconce | 35.79,37.12,36.91,37.18,37.22,37.15,37.15,36.91,37.11,36.82,36.41 | +| vase | 16.09,17.6,17.69,17.7,17.64,17.65,17.67,17.72,17.67,17.64,17.32 | +| traffic light | 28.53,28.59,28.89,28.9,29.12,29.04,29.35,29.27,29.37,29.24,29.04 | +| tray | 4.87,4.87,5.15,5.11,5.18,5.1,5.13,5.19,5.23,5.11,5.13 | +| ashcan | 32.65,33.7,34.22,34.05,34.69,34.51,34.48,34.38,33.96,33.83,33.69 | +| fan | 53.16,53.99,54.12,54.25,54.56,54.7,54.43,54.4,54.4,54.28,54.18 | +| pier | 30.89,33.29,34.29,34.49,35.41,34.62,33.67,33.55,33.38,33.19,32.99 | +| crt screen | 2.2,3.09,3.16,2.91,2.73,2.46,2.31,2.44,2.56,2.84,3.0 | +| plate | 45.61,46.28,46.61,46.83,47.27,47.3,47.66,47.66,47.92,47.97,47.86 | +| monitor | 9.81,10.1,9.72,9.57,9.24,8.94,8.55,8.37,8.36,8.19,8.31 | +| bulletin board | 28.98,30.9,30.75,30.76,30.78,30.72,30.71,30.4,30.6,30.41,30.57 | +| shower | 0.53,0.33,0.32,0.34,0.38,0.37,0.38,0.41,0.43,0.46,0.46 | +| radiator | 52.94,51.43,51.88,52.36,53.1,53.23,53.94,54.36,54.7,55.04,55.16 | +| glass | 7.88,7.52,7.51,7.65,7.75,7.76,7.92,7.86,8.01,8.03,8.13 | +| clock | 31.58,32.04,32.04,31.51,32.38,31.89,32.72,32.03,32.65,32.51,32.51 | +| flag | 31.04,31.17,31.11,31.35,31.23,31.46,31.51,31.58,31.49,31.66,31.74 | ++---------------------+-------------------------------------------------------------------+ +2023-03-06 05:50:10,846 - mmseg - INFO - Summary: +2023-03-06 05:50:10,846 - mmseg - INFO - ++-------------------------------------------------------------------+ +| mIoU 0,10,20,30,40,50,60,70,80,90,99 | ++-------------------------------------------------------------------+ +| 44.47,44.85,44.91,44.96,44.98,44.97,44.97,44.96,44.96,44.93,44.86 | ++-------------------------------------------------------------------+ +2023-03-06 05:50:10,846 - mmseg - INFO - Exp name: ablation_segformer_mit_b2_segformer_head_unet_fc_small_multi_step_ade_pretrained_freeze_embed_160k_ade20k151_finetune_ema_ce.py +2023-03-06 05:50:10,846 - mmseg - INFO - Iter(val) [250] mIoU: [0.4447, 0.4485, 0.4491, 0.4496, 0.4498, 0.4497, 0.4497, 0.4496, 0.4496, 0.4493, 0.4486], copy_paste: 44.47,44.85,44.91,44.96,44.98,44.97,44.97,44.96,44.96,44.93,44.86 +2023-03-06 05:50:10,853 - mmseg - INFO - Swap parameters (before train) before iter [96001] +2023-03-06 05:50:21,866 - mmseg - INFO - Iter [96050/160000] lr: 9.375e-06, eta: 4:24:45, time: 13.244, data_time: 13.032, memory: 52540, decode.loss_ce: 0.0374, decode.acc_seg: 89.5045, decode.kl_loss: 0.0638, loss: 0.1012 +2023-03-06 05:50:32,270 - mmseg - INFO - Iter [96100/160000] lr: 9.375e-06, eta: 4:24:31, time: 0.208, data_time: 0.008, memory: 52540, decode.loss_ce: 0.0394, decode.acc_seg: 89.0984, decode.kl_loss: 0.0606, loss: 0.1000 +2023-03-06 05:50:42,461 - mmseg - INFO - Iter [96150/160000] lr: 9.375e-06, eta: 4:24:17, time: 0.204, data_time: 0.009, memory: 52540, decode.loss_ce: 0.0405, decode.acc_seg: 88.6987, decode.kl_loss: 0.0644, loss: 0.1049 +2023-03-06 05:50:52,682 - mmseg - INFO - Iter [96200/160000] lr: 9.375e-06, eta: 4:24:03, time: 0.204, data_time: 0.008, memory: 52540, decode.loss_ce: 0.0409, decode.acc_seg: 88.7312, decode.kl_loss: 0.0635, loss: 0.1044 +2023-03-06 05:51:03,174 - mmseg - INFO - Iter [96250/160000] lr: 9.375e-06, eta: 4:23:50, time: 0.210, data_time: 0.008, memory: 52540, decode.loss_ce: 0.0383, decode.acc_seg: 89.1743, decode.kl_loss: 0.0655, loss: 0.1037 +2023-03-06 05:51:13,587 - mmseg - INFO - Iter [96300/160000] lr: 9.375e-06, eta: 4:23:36, time: 0.208, data_time: 0.008, memory: 52540, decode.loss_ce: 0.0415, decode.acc_seg: 88.4233, decode.kl_loss: 0.0685, loss: 0.1100 +2023-03-06 05:51:23,764 - mmseg - INFO - Iter [96350/160000] lr: 9.375e-06, eta: 4:23:22, time: 0.204, data_time: 0.008, memory: 52540, decode.loss_ce: 0.0422, decode.acc_seg: 88.2378, decode.kl_loss: 0.0701, loss: 0.1123 +2023-03-06 05:51:33,896 - mmseg - INFO - Iter [96400/160000] lr: 9.375e-06, eta: 4:23:08, time: 0.203, data_time: 0.009, memory: 52540, decode.loss_ce: 0.0426, decode.acc_seg: 88.0095, decode.kl_loss: 0.0678, loss: 0.1104 +2023-03-06 05:51:44,439 - mmseg - INFO - Iter [96450/160000] lr: 9.375e-06, eta: 4:22:54, time: 0.211, data_time: 0.009, memory: 52540, decode.loss_ce: 0.0394, decode.acc_seg: 88.9984, decode.kl_loss: 0.0631, loss: 0.1025 +2023-03-06 05:51:54,634 - mmseg - INFO - Iter [96500/160000] lr: 9.375e-06, eta: 4:22:40, time: 0.204, data_time: 0.009, memory: 52540, decode.loss_ce: 0.0390, decode.acc_seg: 89.1911, decode.kl_loss: 0.0627, loss: 0.1017 +2023-03-06 05:52:07,270 - mmseg - INFO - Iter [96550/160000] lr: 9.375e-06, eta: 4:22:28, time: 0.253, data_time: 0.057, memory: 52540, decode.loss_ce: 0.0379, decode.acc_seg: 89.4680, decode.kl_loss: 0.0623, loss: 0.1002 +2023-03-06 05:52:17,670 - mmseg - INFO - Iter [96600/160000] lr: 9.375e-06, eta: 4:22:14, time: 0.208, data_time: 0.008, memory: 52540, decode.loss_ce: 0.0378, decode.acc_seg: 89.4859, decode.kl_loss: 0.0664, loss: 0.1042 +2023-03-06 05:52:28,045 - mmseg - INFO - Iter [96650/160000] lr: 9.375e-06, eta: 4:22:01, time: 0.208, data_time: 0.008, memory: 52540, decode.loss_ce: 0.0389, decode.acc_seg: 89.1748, decode.kl_loss: 0.0630, loss: 0.1019 +2023-03-06 05:52:38,187 - mmseg - INFO - Iter [96700/160000] lr: 9.375e-06, eta: 4:21:47, time: 0.203, data_time: 0.008, memory: 52540, decode.loss_ce: 0.0362, decode.acc_seg: 89.6755, decode.kl_loss: 0.0637, loss: 0.0998 +2023-03-06 05:52:48,641 - mmseg - INFO - Iter [96750/160000] lr: 9.375e-06, eta: 4:21:33, time: 0.209, data_time: 0.008, memory: 52540, decode.loss_ce: 0.0376, decode.acc_seg: 89.3234, decode.kl_loss: 0.0676, loss: 0.1052 +2023-03-06 05:52:58,734 - mmseg - INFO - Iter [96800/160000] lr: 9.375e-06, eta: 4:21:19, time: 0.202, data_time: 0.007, memory: 52540, decode.loss_ce: 0.0361, decode.acc_seg: 89.5718, decode.kl_loss: 0.0650, loss: 0.1011 +2023-03-06 05:53:08,846 - mmseg - INFO - Iter [96850/160000] lr: 9.375e-06, eta: 4:21:05, time: 0.202, data_time: 0.007, memory: 52540, decode.loss_ce: 0.0398, decode.acc_seg: 89.0003, decode.kl_loss: 0.0643, loss: 0.1041 +2023-03-06 05:53:19,048 - mmseg - INFO - Iter [96900/160000] lr: 9.375e-06, eta: 4:20:51, time: 0.204, data_time: 0.007, memory: 52540, decode.loss_ce: 0.0382, decode.acc_seg: 89.4503, decode.kl_loss: 0.0600, loss: 0.0982 +2023-03-06 05:53:29,122 - mmseg - INFO - Iter [96950/160000] lr: 9.375e-06, eta: 4:20:38, time: 0.202, data_time: 0.008, memory: 52540, decode.loss_ce: 0.0383, decode.acc_seg: 89.4835, decode.kl_loss: 0.0640, loss: 0.1022 +2023-03-06 05:53:39,335 - mmseg - INFO - Exp name: ablation_segformer_mit_b2_segformer_head_unet_fc_small_multi_step_ade_pretrained_freeze_embed_160k_ade20k151_finetune_ema_ce.py +2023-03-06 05:53:39,335 - mmseg - INFO - Iter [97000/160000] lr: 9.375e-06, eta: 4:20:24, time: 0.204, data_time: 0.007, memory: 52540, decode.loss_ce: 0.0392, decode.acc_seg: 88.9486, decode.kl_loss: 0.0633, loss: 0.1025 +2023-03-06 05:53:49,658 - mmseg - INFO - Iter [97050/160000] lr: 9.375e-06, eta: 4:20:10, time: 0.207, data_time: 0.008, memory: 52540, decode.loss_ce: 0.0384, decode.acc_seg: 89.3914, decode.kl_loss: 0.0634, loss: 0.1018 +2023-03-06 05:53:59,663 - mmseg - INFO - Iter [97100/160000] lr: 9.375e-06, eta: 4:19:56, time: 0.200, data_time: 0.007, memory: 52540, decode.loss_ce: 0.0388, decode.acc_seg: 89.1858, decode.kl_loss: 0.0680, loss: 0.1068 +2023-03-06 05:54:09,803 - mmseg - INFO - Iter [97150/160000] lr: 9.375e-06, eta: 4:19:42, time: 0.203, data_time: 0.007, memory: 52540, decode.loss_ce: 0.0373, decode.acc_seg: 89.5532, decode.kl_loss: 0.0695, loss: 0.1068 +2023-03-06 05:54:22,313 - mmseg - INFO - Iter [97200/160000] lr: 9.375e-06, eta: 4:19:30, time: 0.250, data_time: 0.053, memory: 52540, decode.loss_ce: 0.0390, decode.acc_seg: 89.1592, decode.kl_loss: 0.0629, loss: 0.1018 +2023-03-06 05:54:32,536 - mmseg - INFO - Iter [97250/160000] lr: 9.375e-06, eta: 4:19:16, time: 0.204, data_time: 0.007, memory: 52540, decode.loss_ce: 0.0399, decode.acc_seg: 88.9987, decode.kl_loss: 0.0645, loss: 0.1044 +2023-03-06 05:54:42,579 - mmseg - INFO - Iter [97300/160000] lr: 9.375e-06, eta: 4:19:02, time: 0.201, data_time: 0.007, memory: 52540, decode.loss_ce: 0.0426, decode.acc_seg: 88.1192, decode.kl_loss: 0.0717, loss: 0.1143 +2023-03-06 05:54:52,601 - mmseg - INFO - Iter [97350/160000] lr: 9.375e-06, eta: 4:18:48, time: 0.200, data_time: 0.007, memory: 52540, decode.loss_ce: 0.0488, decode.acc_seg: 86.4295, decode.kl_loss: 0.0793, loss: 0.1280 +2023-03-06 05:55:02,641 - mmseg - INFO - Iter [97400/160000] lr: 9.375e-06, eta: 4:18:34, time: 0.201, data_time: 0.008, memory: 52540, decode.loss_ce: 0.0452, decode.acc_seg: 87.5535, decode.kl_loss: 0.0762, loss: 0.1214 +2023-03-06 05:55:12,873 - mmseg - INFO - Iter [97450/160000] lr: 9.375e-06, eta: 4:18:21, time: 0.205, data_time: 0.007, memory: 52540, decode.loss_ce: 0.0424, decode.acc_seg: 88.3807, decode.kl_loss: 0.0703, loss: 0.1127 +2023-03-06 05:55:23,039 - mmseg - INFO - Iter [97500/160000] lr: 9.375e-06, eta: 4:18:07, time: 0.203, data_time: 0.007, memory: 52540, decode.loss_ce: 0.0439, decode.acc_seg: 88.4084, decode.kl_loss: 0.0747, loss: 0.1186 +2023-03-06 05:55:33,070 - mmseg - INFO - Iter [97550/160000] lr: 9.375e-06, eta: 4:17:53, time: 0.201, data_time: 0.007, memory: 52540, decode.loss_ce: 0.0392, decode.acc_seg: 89.1429, decode.kl_loss: 0.0698, loss: 0.1091 +2023-03-06 05:55:43,052 - mmseg - INFO - Iter [97600/160000] lr: 9.375e-06, eta: 4:17:39, time: 0.200, data_time: 0.007, memory: 52540, decode.loss_ce: 0.0391, decode.acc_seg: 89.2676, decode.kl_loss: 0.0696, loss: 0.1087 +2023-03-06 05:55:53,316 - mmseg - INFO - Iter [97650/160000] lr: 9.375e-06, eta: 4:17:25, time: 0.205, data_time: 0.007, memory: 52540, decode.loss_ce: 0.0390, decode.acc_seg: 89.1458, decode.kl_loss: 0.0692, loss: 0.1082 +2023-03-06 05:56:03,375 - mmseg - INFO - Iter [97700/160000] lr: 9.375e-06, eta: 4:17:11, time: 0.201, data_time: 0.007, memory: 52540, decode.loss_ce: 0.0407, decode.acc_seg: 88.6772, decode.kl_loss: 0.0686, loss: 0.1093 +2023-03-06 05:56:13,601 - mmseg - INFO - Iter [97750/160000] lr: 9.375e-06, eta: 4:16:58, time: 0.204, data_time: 0.008, memory: 52540, decode.loss_ce: 0.0406, decode.acc_seg: 88.8555, decode.kl_loss: 0.0692, loss: 0.1098 +2023-03-06 05:56:23,536 - mmseg - INFO - Iter [97800/160000] lr: 9.375e-06, eta: 4:16:44, time: 0.199, data_time: 0.007, memory: 52540, decode.loss_ce: 0.0413, decode.acc_seg: 88.7614, decode.kl_loss: 0.0744, loss: 0.1156 +2023-03-06 05:56:36,238 - mmseg - INFO - Iter [97850/160000] lr: 9.375e-06, eta: 4:16:31, time: 0.254, data_time: 0.055, memory: 52540, decode.loss_ce: 0.0421, decode.acc_seg: 88.5864, decode.kl_loss: 0.0703, loss: 0.1124 +2023-03-06 05:56:46,205 - mmseg - INFO - Iter [97900/160000] lr: 9.375e-06, eta: 4:16:17, time: 0.199, data_time: 0.007, memory: 52540, decode.loss_ce: 0.0407, decode.acc_seg: 88.6990, decode.kl_loss: 0.0738, loss: 0.1146 +2023-03-06 05:56:56,256 - mmseg - INFO - Iter [97950/160000] lr: 9.375e-06, eta: 4:16:04, time: 0.201, data_time: 0.007, memory: 52540, decode.loss_ce: 0.0398, decode.acc_seg: 88.8805, decode.kl_loss: 0.0678, loss: 0.1076 +2023-03-06 05:57:06,524 - mmseg - INFO - Exp name: ablation_segformer_mit_b2_segformer_head_unet_fc_small_multi_step_ade_pretrained_freeze_embed_160k_ade20k151_finetune_ema_ce.py +2023-03-06 05:57:06,524 - mmseg - INFO - Iter [98000/160000] lr: 9.375e-06, eta: 4:15:50, time: 0.205, data_time: 0.007, memory: 52540, decode.loss_ce: 0.0380, decode.acc_seg: 89.4290, decode.kl_loss: 0.0625, loss: 0.1005 +2023-03-06 05:57:16,608 - mmseg - INFO - Iter [98050/160000] lr: 9.375e-06, eta: 4:15:36, time: 0.202, data_time: 0.007, memory: 52540, decode.loss_ce: 0.0384, decode.acc_seg: 89.1542, decode.kl_loss: 0.0674, loss: 0.1058 +2023-03-06 05:57:26,893 - mmseg - INFO - Iter [98100/160000] lr: 9.375e-06, eta: 4:15:22, time: 0.206, data_time: 0.007, memory: 52540, decode.loss_ce: 0.0394, decode.acc_seg: 89.2255, decode.kl_loss: 0.0622, loss: 0.1016 +2023-03-06 05:57:36,989 - mmseg - INFO - Iter [98150/160000] lr: 9.375e-06, eta: 4:15:09, time: 0.202, data_time: 0.007, memory: 52540, decode.loss_ce: 0.0373, decode.acc_seg: 89.6299, decode.kl_loss: 0.0629, loss: 0.1003 +2023-03-06 05:57:47,046 - mmseg - INFO - Iter [98200/160000] lr: 9.375e-06, eta: 4:14:55, time: 0.201, data_time: 0.007, memory: 52540, decode.loss_ce: 0.0387, decode.acc_seg: 89.3428, decode.kl_loss: 0.0666, loss: 0.1054 +2023-03-06 05:57:57,005 - mmseg - INFO - Iter [98250/160000] lr: 9.375e-06, eta: 4:14:41, time: 0.199, data_time: 0.007, memory: 52540, decode.loss_ce: 0.0374, decode.acc_seg: 89.5242, decode.kl_loss: 0.0652, loss: 0.1026 +2023-03-06 05:58:07,283 - mmseg - INFO - Iter [98300/160000] lr: 9.375e-06, eta: 4:14:27, time: 0.205, data_time: 0.007, memory: 52540, decode.loss_ce: 0.0405, decode.acc_seg: 88.9212, decode.kl_loss: 0.0617, loss: 0.1021 +2023-03-06 05:58:17,620 - mmseg - INFO - Iter [98350/160000] lr: 9.375e-06, eta: 4:14:13, time: 0.207, data_time: 0.008, memory: 52540, decode.loss_ce: 0.0389, decode.acc_seg: 89.1776, decode.kl_loss: 0.0646, loss: 0.1036 +2023-03-06 05:58:27,755 - mmseg - INFO - Iter [98400/160000] lr: 9.375e-06, eta: 4:14:00, time: 0.203, data_time: 0.007, memory: 52540, decode.loss_ce: 0.0372, decode.acc_seg: 89.5812, decode.kl_loss: 0.0620, loss: 0.0992 +2023-03-06 05:58:40,336 - mmseg - INFO - Iter [98450/160000] lr: 9.375e-06, eta: 4:13:47, time: 0.251, data_time: 0.053, memory: 52540, decode.loss_ce: 0.0388, decode.acc_seg: 88.8484, decode.kl_loss: 0.0699, loss: 0.1087 +2023-03-06 05:58:50,622 - mmseg - INFO - Iter [98500/160000] lr: 9.375e-06, eta: 4:13:34, time: 0.206, data_time: 0.008, memory: 52540, decode.loss_ce: 0.0395, decode.acc_seg: 89.1970, decode.kl_loss: 0.0639, loss: 0.1035 +2023-03-06 05:59:00,556 - mmseg - INFO - Iter [98550/160000] lr: 9.375e-06, eta: 4:13:20, time: 0.199, data_time: 0.008, memory: 52540, decode.loss_ce: 0.0365, decode.acc_seg: 89.7349, decode.kl_loss: 0.0625, loss: 0.0990 +2023-03-06 05:59:10,616 - mmseg - INFO - Iter [98600/160000] lr: 9.375e-06, eta: 4:13:06, time: 0.201, data_time: 0.007, memory: 52540, decode.loss_ce: 0.0383, decode.acc_seg: 89.3413, decode.kl_loss: 0.0646, loss: 0.1029 +2023-03-06 05:59:20,653 - mmseg - INFO - Iter [98650/160000] lr: 9.375e-06, eta: 4:12:52, time: 0.200, data_time: 0.007, memory: 52540, decode.loss_ce: 0.0394, decode.acc_seg: 89.0272, decode.kl_loss: 0.0601, loss: 0.0995 +2023-03-06 05:59:30,723 - mmseg - INFO - Iter [98700/160000] lr: 9.375e-06, eta: 4:12:39, time: 0.202, data_time: 0.007, memory: 52540, decode.loss_ce: 0.0386, decode.acc_seg: 89.2450, decode.kl_loss: 0.0624, loss: 0.1010 +2023-03-06 05:59:41,237 - mmseg - INFO - Iter [98750/160000] lr: 9.375e-06, eta: 4:12:25, time: 0.210, data_time: 0.007, memory: 52540, decode.loss_ce: 0.0401, decode.acc_seg: 88.7978, decode.kl_loss: 0.0645, loss: 0.1046 +2023-03-06 05:59:51,752 - mmseg - INFO - Iter [98800/160000] lr: 9.375e-06, eta: 4:12:11, time: 0.210, data_time: 0.007, memory: 52540, decode.loss_ce: 0.0370, decode.acc_seg: 89.5947, decode.kl_loss: 0.0613, loss: 0.0983 +2023-03-06 06:00:01,925 - mmseg - INFO - Iter [98850/160000] lr: 9.375e-06, eta: 4:11:58, time: 0.203, data_time: 0.007, memory: 52540, decode.loss_ce: 0.0381, decode.acc_seg: 89.3573, decode.kl_loss: 0.0601, loss: 0.0982 +2023-03-06 06:00:12,075 - mmseg - INFO - Iter [98900/160000] lr: 9.375e-06, eta: 4:11:44, time: 0.203, data_time: 0.007, memory: 52540, decode.loss_ce: 0.0378, decode.acc_seg: 89.4076, decode.kl_loss: 0.0597, loss: 0.0974 +2023-03-06 06:00:22,200 - mmseg - INFO - Iter [98950/160000] lr: 9.375e-06, eta: 4:11:30, time: 0.202, data_time: 0.007, memory: 52540, decode.loss_ce: 0.0393, decode.acc_seg: 89.0990, decode.kl_loss: 0.0624, loss: 0.1017 +2023-03-06 06:00:32,203 - mmseg - INFO - Exp name: ablation_segformer_mit_b2_segformer_head_unet_fc_small_multi_step_ade_pretrained_freeze_embed_160k_ade20k151_finetune_ema_ce.py +2023-03-06 06:00:32,203 - mmseg - INFO - Iter [99000/160000] lr: 9.375e-06, eta: 4:11:16, time: 0.200, data_time: 0.007, memory: 52540, decode.loss_ce: 0.0393, decode.acc_seg: 89.1449, decode.kl_loss: 0.0595, loss: 0.0988 +2023-03-06 06:00:42,370 - mmseg - INFO - Iter [99050/160000] lr: 9.375e-06, eta: 4:11:03, time: 0.203, data_time: 0.007, memory: 52540, decode.loss_ce: 0.0384, decode.acc_seg: 89.3146, decode.kl_loss: 0.0597, loss: 0.0981 +2023-03-06 06:00:54,835 - mmseg - INFO - Iter [99100/160000] lr: 9.375e-06, eta: 4:10:50, time: 0.249, data_time: 0.055, memory: 52540, decode.loss_ce: 0.0414, decode.acc_seg: 88.7879, decode.kl_loss: 0.0616, loss: 0.1030 +2023-03-06 06:01:05,194 - mmseg - INFO - Iter [99150/160000] lr: 9.375e-06, eta: 4:10:37, time: 0.207, data_time: 0.008, memory: 52540, decode.loss_ce: 0.0394, decode.acc_seg: 88.9638, decode.kl_loss: 0.0612, loss: 0.1006 +2023-03-06 06:01:15,230 - mmseg - INFO - Iter [99200/160000] lr: 9.375e-06, eta: 4:10:23, time: 0.201, data_time: 0.007, memory: 52540, decode.loss_ce: 0.0395, decode.acc_seg: 89.0495, decode.kl_loss: 0.0606, loss: 0.1001 +2023-03-06 06:01:25,521 - mmseg - INFO - Iter [99250/160000] lr: 9.375e-06, eta: 4:10:09, time: 0.206, data_time: 0.007, memory: 52540, decode.loss_ce: 0.0400, decode.acc_seg: 88.9265, decode.kl_loss: 0.0591, loss: 0.0991 +2023-03-06 06:01:35,805 - mmseg - INFO - Iter [99300/160000] lr: 9.375e-06, eta: 4:09:56, time: 0.206, data_time: 0.008, memory: 52540, decode.loss_ce: 0.0395, decode.acc_seg: 89.0663, decode.kl_loss: 0.0608, loss: 0.1003 +2023-03-06 06:01:45,891 - mmseg - INFO - Iter [99350/160000] lr: 9.375e-06, eta: 4:09:42, time: 0.202, data_time: 0.007, memory: 52540, decode.loss_ce: 0.0399, decode.acc_seg: 89.0463, decode.kl_loss: 0.0570, loss: 0.0969 +2023-03-06 06:01:55,812 - mmseg - INFO - Iter [99400/160000] lr: 9.375e-06, eta: 4:09:28, time: 0.198, data_time: 0.007, memory: 52540, decode.loss_ce: 0.0376, decode.acc_seg: 89.6940, decode.kl_loss: 0.0555, loss: 0.0931 +2023-03-06 06:02:05,844 - mmseg - INFO - Iter [99450/160000] lr: 9.375e-06, eta: 4:09:15, time: 0.201, data_time: 0.007, memory: 52540, decode.loss_ce: 0.0402, decode.acc_seg: 88.9243, decode.kl_loss: 0.0578, loss: 0.0980 +2023-03-06 06:02:15,751 - mmseg - INFO - Iter [99500/160000] lr: 9.375e-06, eta: 4:09:01, time: 0.198, data_time: 0.007, memory: 52540, decode.loss_ce: 0.0368, decode.acc_seg: 89.6096, decode.kl_loss: 0.0583, loss: 0.0952 +2023-03-06 06:02:25,804 - mmseg - INFO - Iter [99550/160000] lr: 9.375e-06, eta: 4:08:47, time: 0.201, data_time: 0.007, memory: 52540, decode.loss_ce: 0.0392, decode.acc_seg: 89.1295, decode.kl_loss: 0.0587, loss: 0.0979 +2023-03-06 06:02:35,968 - mmseg - INFO - Iter [99600/160000] lr: 9.375e-06, eta: 4:08:33, time: 0.203, data_time: 0.008, memory: 52540, decode.loss_ce: 0.0379, decode.acc_seg: 89.2700, decode.kl_loss: 0.0589, loss: 0.0968 +2023-03-06 06:02:46,031 - mmseg - INFO - Iter [99650/160000] lr: 9.375e-06, eta: 4:08:20, time: 0.201, data_time: 0.007, memory: 52540, decode.loss_ce: 0.0397, decode.acc_seg: 89.0220, decode.kl_loss: 0.0606, loss: 0.1002 +2023-03-06 06:02:58,389 - mmseg - INFO - Iter [99700/160000] lr: 9.375e-06, eta: 4:08:07, time: 0.247, data_time: 0.056, memory: 52540, decode.loss_ce: 0.0378, decode.acc_seg: 89.3357, decode.kl_loss: 0.0612, loss: 0.0990 +2023-03-06 06:03:08,748 - mmseg - INFO - Iter [99750/160000] lr: 9.375e-06, eta: 4:07:54, time: 0.207, data_time: 0.007, memory: 52540, decode.loss_ce: 0.0394, decode.acc_seg: 89.1664, decode.kl_loss: 0.0597, loss: 0.0991 +2023-03-06 06:03:19,421 - mmseg - INFO - Iter [99800/160000] lr: 9.375e-06, eta: 4:07:40, time: 0.213, data_time: 0.007, memory: 52540, decode.loss_ce: 0.0390, decode.acc_seg: 89.2108, decode.kl_loss: 0.0589, loss: 0.0978 +2023-03-06 06:03:29,553 - mmseg - INFO - Iter [99850/160000] lr: 9.375e-06, eta: 4:07:27, time: 0.203, data_time: 0.007, memory: 52540, decode.loss_ce: 0.0376, decode.acc_seg: 89.4517, decode.kl_loss: 0.0588, loss: 0.0964 +2023-03-06 06:03:40,287 - mmseg - INFO - Iter [99900/160000] lr: 9.375e-06, eta: 4:07:13, time: 0.215, data_time: 0.007, memory: 52540, decode.loss_ce: 0.0405, decode.acc_seg: 88.6791, decode.kl_loss: 0.0618, loss: 0.1022 +2023-03-06 06:03:50,461 - mmseg - INFO - Iter [99950/160000] lr: 9.375e-06, eta: 4:07:00, time: 0.203, data_time: 0.007, memory: 52540, decode.loss_ce: 0.0413, decode.acc_seg: 88.6936, decode.kl_loss: 0.0606, loss: 0.1019 +2023-03-06 06:04:00,317 - mmseg - INFO - Exp name: ablation_segformer_mit_b2_segformer_head_unet_fc_small_multi_step_ade_pretrained_freeze_embed_160k_ade20k151_finetune_ema_ce.py +2023-03-06 06:04:00,317 - mmseg - INFO - Iter [100000/160000] lr: 9.375e-06, eta: 4:06:46, time: 0.197, data_time: 0.007, memory: 52540, decode.loss_ce: 0.0383, decode.acc_seg: 89.2977, decode.kl_loss: 0.0572, loss: 0.0955 +2023-03-06 06:04:10,286 - mmseg - INFO - Iter [100050/160000] lr: 4.687e-06, eta: 4:06:32, time: 0.199, data_time: 0.008, memory: 52540, decode.loss_ce: 0.0371, decode.acc_seg: 89.6200, decode.kl_loss: 0.0551, loss: 0.0922 +2023-03-06 06:04:20,193 - mmseg - INFO - Iter [100100/160000] lr: 4.687e-06, eta: 4:06:18, time: 0.198, data_time: 0.007, memory: 52540, decode.loss_ce: 0.0372, decode.acc_seg: 89.6007, decode.kl_loss: 0.0594, loss: 0.0966 +2023-03-06 06:04:30,373 - mmseg - INFO - Iter [100150/160000] lr: 4.687e-06, eta: 4:06:05, time: 0.204, data_time: 0.007, memory: 52540, decode.loss_ce: 0.0364, decode.acc_seg: 89.8214, decode.kl_loss: 0.0581, loss: 0.0945 +2023-03-06 06:04:40,696 - mmseg - INFO - Iter [100200/160000] lr: 4.687e-06, eta: 4:05:51, time: 0.206, data_time: 0.008, memory: 52540, decode.loss_ce: 0.0373, decode.acc_seg: 89.7384, decode.kl_loss: 0.0578, loss: 0.0951 +2023-03-06 06:04:50,706 - mmseg - INFO - Iter [100250/160000] lr: 4.687e-06, eta: 4:05:37, time: 0.200, data_time: 0.007, memory: 52540, decode.loss_ce: 0.0361, decode.acc_seg: 89.7666, decode.kl_loss: 0.0604, loss: 0.0965 +2023-03-06 06:05:00,695 - mmseg - INFO - Iter [100300/160000] lr: 4.687e-06, eta: 4:05:24, time: 0.200, data_time: 0.007, memory: 52540, decode.loss_ce: 0.0377, decode.acc_seg: 89.6585, decode.kl_loss: 0.0595, loss: 0.0972 +2023-03-06 06:05:13,213 - mmseg - INFO - Iter [100350/160000] lr: 4.687e-06, eta: 4:05:12, time: 0.250, data_time: 0.055, memory: 52540, decode.loss_ce: 0.0372, decode.acc_seg: 89.7800, decode.kl_loss: 0.0568, loss: 0.0940 +2023-03-06 06:05:23,566 - mmseg - INFO - Iter [100400/160000] lr: 4.687e-06, eta: 4:04:58, time: 0.207, data_time: 0.007, memory: 52540, decode.loss_ce: 0.0367, decode.acc_seg: 89.6658, decode.kl_loss: 0.0604, loss: 0.0971 +2023-03-06 06:05:33,628 - mmseg - INFO - Iter [100450/160000] lr: 4.687e-06, eta: 4:04:44, time: 0.201, data_time: 0.007, memory: 52540, decode.loss_ce: 0.0383, decode.acc_seg: 89.3212, decode.kl_loss: 0.0604, loss: 0.0987 +2023-03-06 06:05:43,583 - mmseg - INFO - Iter [100500/160000] lr: 4.687e-06, eta: 4:04:31, time: 0.199, data_time: 0.007, memory: 52540, decode.loss_ce: 0.0376, decode.acc_seg: 89.4775, decode.kl_loss: 0.0602, loss: 0.0978 +2023-03-06 06:05:53,570 - mmseg - INFO - Iter [100550/160000] lr: 4.687e-06, eta: 4:04:17, time: 0.200, data_time: 0.007, memory: 52540, decode.loss_ce: 0.0381, decode.acc_seg: 89.5232, decode.kl_loss: 0.0564, loss: 0.0946 +2023-03-06 06:06:03,515 - mmseg - INFO - Iter [100600/160000] lr: 4.687e-06, eta: 4:04:03, time: 0.199, data_time: 0.007, memory: 52540, decode.loss_ce: 0.0371, decode.acc_seg: 89.6442, decode.kl_loss: 0.0585, loss: 0.0956 +2023-03-06 06:06:13,571 - mmseg - INFO - Iter [100650/160000] lr: 4.687e-06, eta: 4:03:49, time: 0.201, data_time: 0.007, memory: 52540, decode.loss_ce: 0.0384, decode.acc_seg: 89.3413, decode.kl_loss: 0.0570, loss: 0.0954 +2023-03-06 06:06:23,968 - mmseg - INFO - Iter [100700/160000] lr: 4.687e-06, eta: 4:03:36, time: 0.208, data_time: 0.007, memory: 52540, decode.loss_ce: 0.0375, decode.acc_seg: 89.5717, decode.kl_loss: 0.0584, loss: 0.0959 +2023-03-06 06:06:33,983 - mmseg - INFO - Iter [100750/160000] lr: 4.687e-06, eta: 4:03:22, time: 0.200, data_time: 0.007, memory: 52540, decode.loss_ce: 0.0355, decode.acc_seg: 89.9846, decode.kl_loss: 0.0582, loss: 0.0937 +2023-03-06 06:06:44,147 - mmseg - INFO - Iter [100800/160000] lr: 4.687e-06, eta: 4:03:09, time: 0.203, data_time: 0.008, memory: 52540, decode.loss_ce: 0.0386, decode.acc_seg: 89.2540, decode.kl_loss: 0.0579, loss: 0.0965 +2023-03-06 06:06:54,368 - mmseg - INFO - Iter [100850/160000] lr: 4.687e-06, eta: 4:02:55, time: 0.204, data_time: 0.008, memory: 52540, decode.loss_ce: 0.0368, decode.acc_seg: 89.6584, decode.kl_loss: 0.0580, loss: 0.0949 +2023-03-06 06:07:04,358 - mmseg - INFO - Iter [100900/160000] lr: 4.687e-06, eta: 4:02:41, time: 0.200, data_time: 0.007, memory: 52540, decode.loss_ce: 0.0378, decode.acc_seg: 89.6130, decode.kl_loss: 0.0566, loss: 0.0944 +2023-03-06 06:07:14,397 - mmseg - INFO - Iter [100950/160000] lr: 4.687e-06, eta: 4:02:28, time: 0.201, data_time: 0.007, memory: 52540, decode.loss_ce: 0.0372, decode.acc_seg: 89.6818, decode.kl_loss: 0.0577, loss: 0.0949 +2023-03-06 06:07:27,030 - mmseg - INFO - Exp name: ablation_segformer_mit_b2_segformer_head_unet_fc_small_multi_step_ade_pretrained_freeze_embed_160k_ade20k151_finetune_ema_ce.py +2023-03-06 06:07:27,030 - mmseg - INFO - Iter [101000/160000] lr: 4.687e-06, eta: 4:02:16, time: 0.253, data_time: 0.056, memory: 52540, decode.loss_ce: 0.0383, decode.acc_seg: 89.6108, decode.kl_loss: 0.0564, loss: 0.0947 +2023-03-06 06:07:37,009 - mmseg - INFO - Iter [101050/160000] lr: 4.687e-06, eta: 4:02:02, time: 0.200, data_time: 0.007, memory: 52540, decode.loss_ce: 0.0374, decode.acc_seg: 89.7578, decode.kl_loss: 0.0546, loss: 0.0921 +2023-03-06 06:07:46,924 - mmseg - INFO - Iter [101100/160000] lr: 4.687e-06, eta: 4:01:48, time: 0.198, data_time: 0.007, memory: 52540, decode.loss_ce: 0.0377, decode.acc_seg: 89.5534, decode.kl_loss: 0.0571, loss: 0.0948 +2023-03-06 06:07:56,917 - mmseg - INFO - Iter [101150/160000] lr: 4.687e-06, eta: 4:01:35, time: 0.200, data_time: 0.007, memory: 52540, decode.loss_ce: 0.0364, decode.acc_seg: 89.6887, decode.kl_loss: 0.0587, loss: 0.0951 +2023-03-06 06:08:07,055 - mmseg - INFO - Iter [101200/160000] lr: 4.687e-06, eta: 4:01:21, time: 0.203, data_time: 0.007, memory: 52540, decode.loss_ce: 0.0390, decode.acc_seg: 89.2216, decode.kl_loss: 0.0594, loss: 0.0984 +2023-03-06 06:08:17,381 - mmseg - INFO - Iter [101250/160000] lr: 4.687e-06, eta: 4:01:08, time: 0.207, data_time: 0.008, memory: 52540, decode.loss_ce: 0.0367, decode.acc_seg: 89.7209, decode.kl_loss: 0.0585, loss: 0.0952 +2023-03-06 06:08:27,272 - mmseg - INFO - Iter [101300/160000] lr: 4.687e-06, eta: 4:00:54, time: 0.198, data_time: 0.007, memory: 52540, decode.loss_ce: 0.0367, decode.acc_seg: 89.8579, decode.kl_loss: 0.0555, loss: 0.0921 +2023-03-06 06:08:37,314 - mmseg - INFO - Iter [101350/160000] lr: 4.687e-06, eta: 4:00:40, time: 0.201, data_time: 0.007, memory: 52540, decode.loss_ce: 0.0349, decode.acc_seg: 90.0548, decode.kl_loss: 0.0563, loss: 0.0912 +2023-03-06 06:08:47,615 - mmseg - INFO - Iter [101400/160000] lr: 4.687e-06, eta: 4:00:27, time: 0.206, data_time: 0.007, memory: 52540, decode.loss_ce: 0.0376, decode.acc_seg: 89.4883, decode.kl_loss: 0.0619, loss: 0.0995 +2023-03-06 06:08:57,662 - mmseg - INFO - Iter [101450/160000] lr: 4.687e-06, eta: 4:00:13, time: 0.201, data_time: 0.007, memory: 52540, decode.loss_ce: 0.0371, decode.acc_seg: 89.5974, decode.kl_loss: 0.0579, loss: 0.0949 +2023-03-06 06:09:07,571 - mmseg - INFO - Iter [101500/160000] lr: 4.687e-06, eta: 3:59:59, time: 0.198, data_time: 0.007, memory: 52540, decode.loss_ce: 0.0372, decode.acc_seg: 89.6865, decode.kl_loss: 0.0571, loss: 0.0942 +2023-03-06 06:09:17,727 - mmseg - INFO - Iter [101550/160000] lr: 4.687e-06, eta: 3:59:46, time: 0.203, data_time: 0.007, memory: 52540, decode.loss_ce: 0.0371, decode.acc_seg: 89.5451, decode.kl_loss: 0.0576, loss: 0.0947 +2023-03-06 06:09:30,318 - mmseg - INFO - Iter [101600/160000] lr: 4.687e-06, eta: 3:59:34, time: 0.252, data_time: 0.054, memory: 52540, decode.loss_ce: 0.0380, decode.acc_seg: 89.3646, decode.kl_loss: 0.0596, loss: 0.0976 +2023-03-06 06:09:40,336 - mmseg - INFO - Iter [101650/160000] lr: 4.687e-06, eta: 3:59:20, time: 0.200, data_time: 0.007, memory: 52540, decode.loss_ce: 0.0376, decode.acc_seg: 89.4292, decode.kl_loss: 0.0580, loss: 0.0955 +2023-03-06 06:09:50,435 - mmseg - INFO - Iter [101700/160000] lr: 4.687e-06, eta: 3:59:07, time: 0.202, data_time: 0.007, memory: 52540, decode.loss_ce: 0.0367, decode.acc_seg: 89.6663, decode.kl_loss: 0.0577, loss: 0.0944 +2023-03-06 06:10:00,543 - mmseg - INFO - Iter [101750/160000] lr: 4.687e-06, eta: 3:58:53, time: 0.202, data_time: 0.007, memory: 52540, decode.loss_ce: 0.0353, decode.acc_seg: 90.0740, decode.kl_loss: 0.0559, loss: 0.0913 +2023-03-06 06:10:10,559 - mmseg - INFO - Iter [101800/160000] lr: 4.687e-06, eta: 3:58:39, time: 0.200, data_time: 0.007, memory: 52540, decode.loss_ce: 0.0360, decode.acc_seg: 89.7853, decode.kl_loss: 0.0555, loss: 0.0915 +2023-03-06 06:10:20,522 - mmseg - INFO - Iter [101850/160000] lr: 4.687e-06, eta: 3:58:26, time: 0.199, data_time: 0.007, memory: 52540, decode.loss_ce: 0.0372, decode.acc_seg: 89.6187, decode.kl_loss: 0.0568, loss: 0.0941 +2023-03-06 06:10:31,060 - mmseg - INFO - Iter [101900/160000] lr: 4.687e-06, eta: 3:58:12, time: 0.211, data_time: 0.008, memory: 52540, decode.loss_ce: 0.0361, decode.acc_seg: 89.9829, decode.kl_loss: 0.0552, loss: 0.0912 +2023-03-06 06:10:40,947 - mmseg - INFO - Iter [101950/160000] lr: 4.687e-06, eta: 3:57:59, time: 0.198, data_time: 0.007, memory: 52540, decode.loss_ce: 0.0351, decode.acc_seg: 90.2315, decode.kl_loss: 0.0574, loss: 0.0926 +2023-03-06 06:10:51,061 - mmseg - INFO - Exp name: ablation_segformer_mit_b2_segformer_head_unet_fc_small_multi_step_ade_pretrained_freeze_embed_160k_ade20k151_finetune_ema_ce.py +2023-03-06 06:10:51,061 - mmseg - INFO - Iter [102000/160000] lr: 4.687e-06, eta: 3:57:45, time: 0.202, data_time: 0.007, memory: 52540, decode.loss_ce: 0.0368, decode.acc_seg: 89.6386, decode.kl_loss: 0.0575, loss: 0.0943 +2023-03-06 06:11:01,160 - mmseg - INFO - Iter [102050/160000] lr: 4.687e-06, eta: 3:57:32, time: 0.202, data_time: 0.007, memory: 52540, decode.loss_ce: 0.0354, decode.acc_seg: 89.9869, decode.kl_loss: 0.0548, loss: 0.0902 +2023-03-06 06:11:11,216 - mmseg - INFO - Iter [102100/160000] lr: 4.687e-06, eta: 3:57:18, time: 0.201, data_time: 0.007, memory: 52540, decode.loss_ce: 0.0381, decode.acc_seg: 89.4223, decode.kl_loss: 0.0551, loss: 0.0932 +2023-03-06 06:11:21,259 - mmseg - INFO - Iter [102150/160000] lr: 4.687e-06, eta: 3:57:05, time: 0.201, data_time: 0.008, memory: 52540, decode.loss_ce: 0.0372, decode.acc_seg: 89.6196, decode.kl_loss: 0.0566, loss: 0.0937 +2023-03-06 06:11:31,878 - mmseg - INFO - Iter [102200/160000] lr: 4.687e-06, eta: 3:56:51, time: 0.212, data_time: 0.007, memory: 52540, decode.loss_ce: 0.0365, decode.acc_seg: 89.7754, decode.kl_loss: 0.0566, loss: 0.0932 +2023-03-06 06:11:44,547 - mmseg - INFO - Iter [102250/160000] lr: 4.687e-06, eta: 3:56:39, time: 0.253, data_time: 0.055, memory: 52540, decode.loss_ce: 0.0367, decode.acc_seg: 89.8175, decode.kl_loss: 0.0563, loss: 0.0930 +2023-03-06 06:11:54,996 - mmseg - INFO - Iter [102300/160000] lr: 4.687e-06, eta: 3:56:26, time: 0.209, data_time: 0.008, memory: 52540, decode.loss_ce: 0.0386, decode.acc_seg: 89.2113, decode.kl_loss: 0.0613, loss: 0.0999 +2023-03-06 06:12:04,993 - mmseg - INFO - Iter [102350/160000] lr: 4.687e-06, eta: 3:56:12, time: 0.200, data_time: 0.007, memory: 52540, decode.loss_ce: 0.0374, decode.acc_seg: 89.5702, decode.kl_loss: 0.0589, loss: 0.0963 +2023-03-06 06:12:15,145 - mmseg - INFO - Iter [102400/160000] lr: 4.687e-06, eta: 3:55:59, time: 0.203, data_time: 0.007, memory: 52540, decode.loss_ce: 0.0363, decode.acc_seg: 89.7979, decode.kl_loss: 0.0615, loss: 0.0977 +2023-03-06 06:12:25,601 - mmseg - INFO - Iter [102450/160000] lr: 4.687e-06, eta: 3:55:45, time: 0.209, data_time: 0.007, memory: 52540, decode.loss_ce: 0.0384, decode.acc_seg: 89.5862, decode.kl_loss: 0.0581, loss: 0.0964 +2023-03-06 06:12:35,515 - mmseg - INFO - Iter [102500/160000] lr: 4.687e-06, eta: 3:55:32, time: 0.198, data_time: 0.007, memory: 52540, decode.loss_ce: 0.0365, decode.acc_seg: 89.8238, decode.kl_loss: 0.0556, loss: 0.0921 +2023-03-06 06:12:45,479 - mmseg - INFO - Iter [102550/160000] lr: 4.687e-06, eta: 3:55:18, time: 0.199, data_time: 0.008, memory: 52540, decode.loss_ce: 0.0363, decode.acc_seg: 89.8004, decode.kl_loss: 0.0591, loss: 0.0954 +2023-03-06 06:12:55,793 - mmseg - INFO - Iter [102600/160000] lr: 4.687e-06, eta: 3:55:05, time: 0.206, data_time: 0.007, memory: 52540, decode.loss_ce: 0.0362, decode.acc_seg: 89.8357, decode.kl_loss: 0.0583, loss: 0.0945 +2023-03-06 06:13:05,753 - mmseg - INFO - Iter [102650/160000] lr: 4.687e-06, eta: 3:54:51, time: 0.199, data_time: 0.008, memory: 52540, decode.loss_ce: 0.0373, decode.acc_seg: 89.5471, decode.kl_loss: 0.0574, loss: 0.0948 +2023-03-06 06:13:15,986 - mmseg - INFO - Iter [102700/160000] lr: 4.687e-06, eta: 3:54:38, time: 0.205, data_time: 0.008, memory: 52540, decode.loss_ce: 0.0362, decode.acc_seg: 89.9061, decode.kl_loss: 0.0562, loss: 0.0925 +2023-03-06 06:13:26,091 - mmseg - INFO - Iter [102750/160000] lr: 4.687e-06, eta: 3:54:24, time: 0.202, data_time: 0.007, memory: 52540, decode.loss_ce: 0.0357, decode.acc_seg: 89.9980, decode.kl_loss: 0.0564, loss: 0.0920 +2023-03-06 06:13:36,339 - mmseg - INFO - Iter [102800/160000] lr: 4.687e-06, eta: 3:54:11, time: 0.205, data_time: 0.007, memory: 52540, decode.loss_ce: 0.0373, decode.acc_seg: 89.5129, decode.kl_loss: 0.0570, loss: 0.0943 +2023-03-06 06:13:46,584 - mmseg - INFO - Iter [102850/160000] lr: 4.687e-06, eta: 3:53:58, time: 0.205, data_time: 0.007, memory: 52540, decode.loss_ce: 0.0351, decode.acc_seg: 90.0883, decode.kl_loss: 0.0567, loss: 0.0917 +2023-03-06 06:13:59,305 - mmseg - INFO - Iter [102900/160000] lr: 4.687e-06, eta: 3:53:45, time: 0.254, data_time: 0.056, memory: 52540, decode.loss_ce: 0.0366, decode.acc_seg: 89.6672, decode.kl_loss: 0.0573, loss: 0.0938 +2023-03-06 06:14:09,303 - mmseg - INFO - Iter [102950/160000] lr: 4.687e-06, eta: 3:53:32, time: 0.200, data_time: 0.007, memory: 52540, decode.loss_ce: 0.0368, decode.acc_seg: 89.7786, decode.kl_loss: 0.0577, loss: 0.0944 +2023-03-06 06:14:19,343 - mmseg - INFO - Exp name: ablation_segformer_mit_b2_segformer_head_unet_fc_small_multi_step_ade_pretrained_freeze_embed_160k_ade20k151_finetune_ema_ce.py +2023-03-06 06:14:19,343 - mmseg - INFO - Iter [103000/160000] lr: 4.687e-06, eta: 3:53:18, time: 0.201, data_time: 0.007, memory: 52540, decode.loss_ce: 0.0364, decode.acc_seg: 89.7521, decode.kl_loss: 0.0575, loss: 0.0939 +2023-03-06 06:14:29,350 - mmseg - INFO - Iter [103050/160000] lr: 4.687e-06, eta: 3:53:05, time: 0.200, data_time: 0.007, memory: 52540, decode.loss_ce: 0.0372, decode.acc_seg: 89.6863, decode.kl_loss: 0.0567, loss: 0.0939 +2023-03-06 06:14:39,541 - mmseg - INFO - Iter [103100/160000] lr: 4.687e-06, eta: 3:52:51, time: 0.204, data_time: 0.007, memory: 52540, decode.loss_ce: 0.0368, decode.acc_seg: 89.7929, decode.kl_loss: 0.0563, loss: 0.0931 +2023-03-06 06:14:49,470 - mmseg - INFO - Iter [103150/160000] lr: 4.687e-06, eta: 3:52:38, time: 0.199, data_time: 0.007, memory: 52540, decode.loss_ce: 0.0391, decode.acc_seg: 89.2700, decode.kl_loss: 0.0580, loss: 0.0971 +2023-03-06 06:14:59,357 - mmseg - INFO - Iter [103200/160000] lr: 4.687e-06, eta: 3:52:24, time: 0.198, data_time: 0.007, memory: 52540, decode.loss_ce: 0.0368, decode.acc_seg: 89.8366, decode.kl_loss: 0.0571, loss: 0.0939 +2023-03-06 06:15:09,384 - mmseg - INFO - Iter [103250/160000] lr: 4.687e-06, eta: 3:52:11, time: 0.201, data_time: 0.007, memory: 52540, decode.loss_ce: 0.0360, decode.acc_seg: 90.0594, decode.kl_loss: 0.0562, loss: 0.0922 +2023-03-06 06:15:19,452 - mmseg - INFO - Iter [103300/160000] lr: 4.687e-06, eta: 3:51:57, time: 0.201, data_time: 0.007, memory: 52540, decode.loss_ce: 0.0376, decode.acc_seg: 89.4984, decode.kl_loss: 0.0578, loss: 0.0953 +2023-03-06 06:15:29,586 - mmseg - INFO - Iter [103350/160000] lr: 4.687e-06, eta: 3:51:44, time: 0.203, data_time: 0.007, memory: 52540, decode.loss_ce: 0.0375, decode.acc_seg: 89.4324, decode.kl_loss: 0.0593, loss: 0.0969 +2023-03-06 06:15:39,506 - mmseg - INFO - Iter [103400/160000] lr: 4.687e-06, eta: 3:51:30, time: 0.198, data_time: 0.007, memory: 52540, decode.loss_ce: 0.0366, decode.acc_seg: 89.7555, decode.kl_loss: 0.0569, loss: 0.0935 +2023-03-06 06:15:49,684 - mmseg - INFO - Iter [103450/160000] lr: 4.687e-06, eta: 3:51:17, time: 0.204, data_time: 0.007, memory: 52540, decode.loss_ce: 0.0375, decode.acc_seg: 89.5351, decode.kl_loss: 0.0586, loss: 0.0961 +2023-03-06 06:16:02,187 - mmseg - INFO - Iter [103500/160000] lr: 4.687e-06, eta: 3:51:05, time: 0.250, data_time: 0.055, memory: 52540, decode.loss_ce: 0.0367, decode.acc_seg: 89.7822, decode.kl_loss: 0.0575, loss: 0.0942 +2023-03-06 06:16:12,213 - mmseg - INFO - Iter [103550/160000] lr: 4.687e-06, eta: 3:50:51, time: 0.201, data_time: 0.008, memory: 52540, decode.loss_ce: 0.0365, decode.acc_seg: 89.6237, decode.kl_loss: 0.0589, loss: 0.0954 +2023-03-06 06:16:22,143 - mmseg - INFO - Iter [103600/160000] lr: 4.687e-06, eta: 3:50:38, time: 0.199, data_time: 0.008, memory: 52540, decode.loss_ce: 0.0378, decode.acc_seg: 89.5265, decode.kl_loss: 0.0589, loss: 0.0967 +2023-03-06 06:16:32,176 - mmseg - INFO - Iter [103650/160000] lr: 4.687e-06, eta: 3:50:24, time: 0.201, data_time: 0.007, memory: 52540, decode.loss_ce: 0.0362, decode.acc_seg: 89.9117, decode.kl_loss: 0.0588, loss: 0.0951 +2023-03-06 06:16:42,067 - mmseg - INFO - Iter [103700/160000] lr: 4.687e-06, eta: 3:50:11, time: 0.198, data_time: 0.007, memory: 52540, decode.loss_ce: 0.0376, decode.acc_seg: 89.4808, decode.kl_loss: 0.0601, loss: 0.0977 +2023-03-06 06:16:52,063 - mmseg - INFO - Iter [103750/160000] lr: 4.687e-06, eta: 3:49:57, time: 0.200, data_time: 0.007, memory: 52540, decode.loss_ce: 0.0369, decode.acc_seg: 89.7248, decode.kl_loss: 0.0621, loss: 0.0990 +2023-03-06 06:17:02,160 - mmseg - INFO - Iter [103800/160000] lr: 4.687e-06, eta: 3:49:44, time: 0.202, data_time: 0.008, memory: 52540, decode.loss_ce: 0.0372, decode.acc_seg: 89.5232, decode.kl_loss: 0.0668, loss: 0.1040 +2023-03-06 06:17:12,319 - mmseg - INFO - Iter [103850/160000] lr: 4.687e-06, eta: 3:49:30, time: 0.203, data_time: 0.007, memory: 52540, decode.loss_ce: 0.0377, decode.acc_seg: 89.5576, decode.kl_loss: 0.0647, loss: 0.1024 +2023-03-06 06:17:22,353 - mmseg - INFO - Iter [103900/160000] lr: 4.687e-06, eta: 3:49:17, time: 0.201, data_time: 0.007, memory: 52540, decode.loss_ce: 0.0381, decode.acc_seg: 89.3270, decode.kl_loss: 0.0690, loss: 0.1071 +2023-03-06 06:17:32,382 - mmseg - INFO - Iter [103950/160000] lr: 4.687e-06, eta: 3:49:03, time: 0.201, data_time: 0.008, memory: 52540, decode.loss_ce: 0.0365, decode.acc_seg: 89.8785, decode.kl_loss: 0.0652, loss: 0.1017 +2023-03-06 06:17:42,400 - mmseg - INFO - Exp name: ablation_segformer_mit_b2_segformer_head_unet_fc_small_multi_step_ade_pretrained_freeze_embed_160k_ade20k151_finetune_ema_ce.py +2023-03-06 06:17:42,400 - mmseg - INFO - Iter [104000/160000] lr: 4.687e-06, eta: 3:48:50, time: 0.200, data_time: 0.007, memory: 52540, decode.loss_ce: 0.0377, decode.acc_seg: 89.3383, decode.kl_loss: 0.0702, loss: 0.1079 +2023-03-06 06:17:52,327 - mmseg - INFO - Iter [104050/160000] lr: 4.687e-06, eta: 3:48:36, time: 0.199, data_time: 0.007, memory: 52540, decode.loss_ce: 0.0370, decode.acc_seg: 89.5670, decode.kl_loss: 0.0653, loss: 0.1024 +2023-03-06 06:18:02,394 - mmseg - INFO - Iter [104100/160000] lr: 4.687e-06, eta: 3:48:23, time: 0.201, data_time: 0.007, memory: 52540, decode.loss_ce: 0.0377, decode.acc_seg: 89.5563, decode.kl_loss: 0.0662, loss: 0.1039 +2023-03-06 06:18:15,205 - mmseg - INFO - Iter [104150/160000] lr: 4.687e-06, eta: 3:48:11, time: 0.256, data_time: 0.053, memory: 52540, decode.loss_ce: 0.0376, decode.acc_seg: 89.4998, decode.kl_loss: 0.0691, loss: 0.1067 +2023-03-06 06:18:25,245 - mmseg - INFO - Iter [104200/160000] lr: 4.687e-06, eta: 3:47:58, time: 0.201, data_time: 0.007, memory: 52540, decode.loss_ce: 0.0366, decode.acc_seg: 89.7361, decode.kl_loss: 0.0638, loss: 0.1003 +2023-03-06 06:18:35,353 - mmseg - INFO - Iter [104250/160000] lr: 4.687e-06, eta: 3:47:44, time: 0.202, data_time: 0.007, memory: 52540, decode.loss_ce: 0.0368, decode.acc_seg: 89.5380, decode.kl_loss: 0.0640, loss: 0.1008 +2023-03-06 06:18:45,509 - mmseg - INFO - Iter [104300/160000] lr: 4.687e-06, eta: 3:47:31, time: 0.203, data_time: 0.007, memory: 52540, decode.loss_ce: 0.0377, decode.acc_seg: 89.5195, decode.kl_loss: 0.0596, loss: 0.0973 +2023-03-06 06:18:55,501 - mmseg - INFO - Iter [104350/160000] lr: 4.687e-06, eta: 3:47:17, time: 0.200, data_time: 0.007, memory: 52540, decode.loss_ce: 0.0377, decode.acc_seg: 89.5866, decode.kl_loss: 0.0607, loss: 0.0984 +2023-03-06 06:19:05,470 - mmseg - INFO - Iter [104400/160000] lr: 4.687e-06, eta: 3:47:04, time: 0.199, data_time: 0.007, memory: 52540, decode.loss_ce: 0.0366, decode.acc_seg: 89.6712, decode.kl_loss: 0.0639, loss: 0.1005 +2023-03-06 06:19:15,740 - mmseg - INFO - Iter [104450/160000] lr: 4.687e-06, eta: 3:46:51, time: 0.205, data_time: 0.007, memory: 52540, decode.loss_ce: 0.0382, decode.acc_seg: 89.3580, decode.kl_loss: 0.0586, loss: 0.0968 +2023-03-06 06:19:25,741 - mmseg - INFO - Iter [104500/160000] lr: 4.687e-06, eta: 3:46:37, time: 0.200, data_time: 0.007, memory: 52540, decode.loss_ce: 0.0377, decode.acc_seg: 89.5062, decode.kl_loss: 0.0617, loss: 0.0993 +2023-03-06 06:19:35,878 - mmseg - INFO - Iter [104550/160000] lr: 4.687e-06, eta: 3:46:24, time: 0.202, data_time: 0.007, memory: 52540, decode.loss_ce: 0.0369, decode.acc_seg: 89.6993, decode.kl_loss: 0.0617, loss: 0.0986 +2023-03-06 06:19:45,856 - mmseg - INFO - Iter [104600/160000] lr: 4.687e-06, eta: 3:46:10, time: 0.200, data_time: 0.007, memory: 52540, decode.loss_ce: 0.0372, decode.acc_seg: 89.6853, decode.kl_loss: 0.0630, loss: 0.1002 +2023-03-06 06:19:55,997 - mmseg - INFO - Iter [104650/160000] lr: 4.687e-06, eta: 3:45:57, time: 0.203, data_time: 0.007, memory: 52540, decode.loss_ce: 0.0397, decode.acc_seg: 89.1186, decode.kl_loss: 0.0637, loss: 0.1034 +2023-03-06 06:20:05,981 - mmseg - INFO - Iter [104700/160000] lr: 4.687e-06, eta: 3:45:43, time: 0.200, data_time: 0.007, memory: 52540, decode.loss_ce: 0.0381, decode.acc_seg: 89.4744, decode.kl_loss: 0.0615, loss: 0.0996 +2023-03-06 06:20:18,562 - mmseg - INFO - Iter [104750/160000] lr: 4.687e-06, eta: 3:45:31, time: 0.252, data_time: 0.056, memory: 52540, decode.loss_ce: 0.0383, decode.acc_seg: 89.3160, decode.kl_loss: 0.0668, loss: 0.1051 +2023-03-06 06:20:28,488 - mmseg - INFO - Iter [104800/160000] lr: 4.687e-06, eta: 3:45:18, time: 0.199, data_time: 0.007, memory: 52540, decode.loss_ce: 0.0376, decode.acc_seg: 89.5493, decode.kl_loss: 0.0626, loss: 0.1002 +2023-03-06 06:20:38,537 - mmseg - INFO - Iter [104850/160000] lr: 4.687e-06, eta: 3:45:05, time: 0.201, data_time: 0.007, memory: 52540, decode.loss_ce: 0.0404, decode.acc_seg: 88.8408, decode.kl_loss: 0.0647, loss: 0.1051 +2023-03-06 06:20:48,671 - mmseg - INFO - Iter [104900/160000] lr: 4.687e-06, eta: 3:44:51, time: 0.203, data_time: 0.007, memory: 52540, decode.loss_ce: 0.0395, decode.acc_seg: 88.9505, decode.kl_loss: 0.0639, loss: 0.1034 +2023-03-06 06:20:58,946 - mmseg - INFO - Iter [104950/160000] lr: 4.687e-06, eta: 3:44:38, time: 0.206, data_time: 0.007, memory: 52540, decode.loss_ce: 0.0407, decode.acc_seg: 88.7616, decode.kl_loss: 0.0643, loss: 0.1050 +2023-03-06 06:21:09,010 - mmseg - INFO - Exp name: ablation_segformer_mit_b2_segformer_head_unet_fc_small_multi_step_ade_pretrained_freeze_embed_160k_ade20k151_finetune_ema_ce.py +2023-03-06 06:21:09,010 - mmseg - INFO - Iter [105000/160000] lr: 4.687e-06, eta: 3:44:25, time: 0.201, data_time: 0.008, memory: 52540, decode.loss_ce: 0.0404, decode.acc_seg: 88.9556, decode.kl_loss: 0.0628, loss: 0.1032 +2023-03-06 06:21:19,100 - mmseg - INFO - Iter [105050/160000] lr: 4.687e-06, eta: 3:44:11, time: 0.202, data_time: 0.007, memory: 52540, decode.loss_ce: 0.0396, decode.acc_seg: 88.9333, decode.kl_loss: 0.0649, loss: 0.1045 +2023-03-06 06:21:29,266 - mmseg - INFO - Iter [105100/160000] lr: 4.687e-06, eta: 3:43:58, time: 0.203, data_time: 0.007, memory: 52540, decode.loss_ce: 0.0404, decode.acc_seg: 88.7290, decode.kl_loss: 0.0656, loss: 0.1061 +2023-03-06 06:21:39,293 - mmseg - INFO - Iter [105150/160000] lr: 4.687e-06, eta: 3:43:44, time: 0.201, data_time: 0.007, memory: 52540, decode.loss_ce: 0.0415, decode.acc_seg: 88.5116, decode.kl_loss: 0.0664, loss: 0.1079 +2023-03-06 06:21:49,328 - mmseg - INFO - Iter [105200/160000] lr: 4.687e-06, eta: 3:43:31, time: 0.201, data_time: 0.007, memory: 52540, decode.loss_ce: 0.0428, decode.acc_seg: 88.0823, decode.kl_loss: 0.0688, loss: 0.1115 +2023-03-06 06:21:59,441 - mmseg - INFO - Iter [105250/160000] lr: 4.687e-06, eta: 3:43:18, time: 0.202, data_time: 0.008, memory: 52540, decode.loss_ce: 0.0428, decode.acc_seg: 87.9555, decode.kl_loss: 0.0676, loss: 0.1104 +2023-03-06 06:22:09,753 - mmseg - INFO - Iter [105300/160000] lr: 4.687e-06, eta: 3:43:04, time: 0.206, data_time: 0.008, memory: 52540, decode.loss_ce: 0.0421, decode.acc_seg: 88.3262, decode.kl_loss: 0.0671, loss: 0.1092 +2023-03-06 06:22:19,740 - mmseg - INFO - Iter [105350/160000] lr: 4.687e-06, eta: 3:42:51, time: 0.200, data_time: 0.007, memory: 52540, decode.loss_ce: 0.0402, decode.acc_seg: 88.7673, decode.kl_loss: 0.0649, loss: 0.1051 +2023-03-06 06:22:32,383 - mmseg - INFO - Iter [105400/160000] lr: 4.687e-06, eta: 3:42:39, time: 0.253, data_time: 0.054, memory: 52540, decode.loss_ce: 0.0408, decode.acc_seg: 88.5370, decode.kl_loss: 0.0663, loss: 0.1070 +2023-03-06 06:22:42,354 - mmseg - INFO - Iter [105450/160000] lr: 4.687e-06, eta: 3:42:26, time: 0.199, data_time: 0.007, memory: 52540, decode.loss_ce: 0.0393, decode.acc_seg: 89.0439, decode.kl_loss: 0.0633, loss: 0.1026 +2023-03-06 06:22:52,781 - mmseg - INFO - Iter [105500/160000] lr: 4.687e-06, eta: 3:42:12, time: 0.209, data_time: 0.007, memory: 52540, decode.loss_ce: 0.0410, decode.acc_seg: 88.6408, decode.kl_loss: 0.0657, loss: 0.1067 +2023-03-06 06:23:02,877 - mmseg - INFO - Iter [105550/160000] lr: 4.687e-06, eta: 3:41:59, time: 0.202, data_time: 0.007, memory: 52540, decode.loss_ce: 0.0394, decode.acc_seg: 88.9427, decode.kl_loss: 0.0645, loss: 0.1039 +2023-03-06 06:23:12,752 - mmseg - INFO - Iter [105600/160000] lr: 4.687e-06, eta: 3:41:46, time: 0.197, data_time: 0.007, memory: 52540, decode.loss_ce: 0.0420, decode.acc_seg: 88.2381, decode.kl_loss: 0.0668, loss: 0.1088 +2023-03-06 06:23:22,808 - mmseg - INFO - Iter [105650/160000] lr: 4.687e-06, eta: 3:41:32, time: 0.201, data_time: 0.007, memory: 52540, decode.loss_ce: 0.0401, decode.acc_seg: 88.7567, decode.kl_loss: 0.0647, loss: 0.1049 +2023-03-06 06:23:32,924 - mmseg - INFO - Iter [105700/160000] lr: 4.687e-06, eta: 3:41:19, time: 0.202, data_time: 0.007, memory: 52540, decode.loss_ce: 0.0410, decode.acc_seg: 88.5579, decode.kl_loss: 0.0664, loss: 0.1075 +2023-03-06 06:23:42,841 - mmseg - INFO - Iter [105750/160000] lr: 4.687e-06, eta: 3:41:06, time: 0.198, data_time: 0.007, memory: 52540, decode.loss_ce: 0.0397, decode.acc_seg: 88.8471, decode.kl_loss: 0.0644, loss: 0.1042 +2023-03-06 06:23:53,125 - mmseg - INFO - Iter [105800/160000] lr: 4.687e-06, eta: 3:40:52, time: 0.206, data_time: 0.007, memory: 52540, decode.loss_ce: 0.0427, decode.acc_seg: 88.0930, decode.kl_loss: 0.0653, loss: 0.1080 +2023-03-06 06:24:03,571 - mmseg - INFO - Iter [105850/160000] lr: 4.687e-06, eta: 3:40:39, time: 0.209, data_time: 0.007, memory: 52540, decode.loss_ce: 0.0404, decode.acc_seg: 88.6961, decode.kl_loss: 0.0632, loss: 0.1037 +2023-03-06 06:24:13,670 - mmseg - INFO - Iter [105900/160000] lr: 4.687e-06, eta: 3:40:26, time: 0.202, data_time: 0.007, memory: 52540, decode.loss_ce: 0.0420, decode.acc_seg: 88.3458, decode.kl_loss: 0.0650, loss: 0.1071 +2023-03-06 06:24:23,585 - mmseg - INFO - Iter [105950/160000] lr: 4.687e-06, eta: 3:40:13, time: 0.198, data_time: 0.007, memory: 52540, decode.loss_ce: 0.0413, decode.acc_seg: 88.4106, decode.kl_loss: 0.0663, loss: 0.1076 +2023-03-06 06:24:33,569 - mmseg - INFO - Exp name: ablation_segformer_mit_b2_segformer_head_unet_fc_small_multi_step_ade_pretrained_freeze_embed_160k_ade20k151_finetune_ema_ce.py +2023-03-06 06:24:33,570 - mmseg - INFO - Iter [106000/160000] lr: 4.687e-06, eta: 3:39:59, time: 0.200, data_time: 0.008, memory: 52540, decode.loss_ce: 0.0402, decode.acc_seg: 88.7513, decode.kl_loss: 0.0647, loss: 0.1050 +2023-03-06 06:24:46,137 - mmseg - INFO - Iter [106050/160000] lr: 4.687e-06, eta: 3:39:47, time: 0.251, data_time: 0.055, memory: 52540, decode.loss_ce: 0.0418, decode.acc_seg: 88.5613, decode.kl_loss: 0.0641, loss: 0.1059 +2023-03-06 06:24:56,449 - mmseg - INFO - Iter [106100/160000] lr: 4.687e-06, eta: 3:39:34, time: 0.206, data_time: 0.007, memory: 52540, decode.loss_ce: 0.0414, decode.acc_seg: 88.5749, decode.kl_loss: 0.0630, loss: 0.1044 +2023-03-06 06:25:06,443 - mmseg - INFO - Iter [106150/160000] lr: 4.687e-06, eta: 3:39:21, time: 0.200, data_time: 0.007, memory: 52540, decode.loss_ce: 0.0385, decode.acc_seg: 89.0632, decode.kl_loss: 0.0636, loss: 0.1021 +2023-03-06 06:25:16,427 - mmseg - INFO - Iter [106200/160000] lr: 4.687e-06, eta: 3:39:07, time: 0.200, data_time: 0.008, memory: 52540, decode.loss_ce: 0.0399, decode.acc_seg: 88.8239, decode.kl_loss: 0.0643, loss: 0.1042 +2023-03-06 06:25:26,525 - mmseg - INFO - Iter [106250/160000] lr: 4.687e-06, eta: 3:38:54, time: 0.202, data_time: 0.007, memory: 52540, decode.loss_ce: 0.0383, decode.acc_seg: 89.1672, decode.kl_loss: 0.0613, loss: 0.0997 +2023-03-06 06:25:36,460 - mmseg - INFO - Iter [106300/160000] lr: 4.687e-06, eta: 3:38:41, time: 0.199, data_time: 0.007, memory: 52540, decode.loss_ce: 0.0399, decode.acc_seg: 88.7367, decode.kl_loss: 0.0642, loss: 0.1041 +2023-03-06 06:25:46,566 - mmseg - INFO - Iter [106350/160000] lr: 4.687e-06, eta: 3:38:27, time: 0.202, data_time: 0.007, memory: 52540, decode.loss_ce: 0.0393, decode.acc_seg: 88.8098, decode.kl_loss: 0.0651, loss: 0.1044 +2023-03-06 06:25:56,615 - mmseg - INFO - Iter [106400/160000] lr: 4.687e-06, eta: 3:38:14, time: 0.201, data_time: 0.007, memory: 52540, decode.loss_ce: 0.0391, decode.acc_seg: 89.0111, decode.kl_loss: 0.0626, loss: 0.1017 +2023-03-06 06:26:06,542 - mmseg - INFO - Iter [106450/160000] lr: 4.687e-06, eta: 3:38:01, time: 0.199, data_time: 0.007, memory: 52540, decode.loss_ce: 0.0396, decode.acc_seg: 88.9618, decode.kl_loss: 0.0632, loss: 0.1028 +2023-03-06 06:26:16,567 - mmseg - INFO - Iter [106500/160000] lr: 4.687e-06, eta: 3:37:47, time: 0.200, data_time: 0.007, memory: 52540, decode.loss_ce: 0.0410, decode.acc_seg: 88.6411, decode.kl_loss: 0.0652, loss: 0.1062 +2023-03-06 06:26:26,535 - mmseg - INFO - Iter [106550/160000] lr: 4.687e-06, eta: 3:37:34, time: 0.199, data_time: 0.007, memory: 52540, decode.loss_ce: 0.0410, decode.acc_seg: 88.6164, decode.kl_loss: 0.0644, loss: 0.1054 +2023-03-06 06:26:36,889 - mmseg - INFO - Iter [106600/160000] lr: 4.687e-06, eta: 3:37:21, time: 0.207, data_time: 0.007, memory: 52540, decode.loss_ce: 0.0400, decode.acc_seg: 88.7334, decode.kl_loss: 0.0641, loss: 0.1041 +2023-03-06 06:26:49,581 - mmseg - INFO - Iter [106650/160000] lr: 4.687e-06, eta: 3:37:09, time: 0.254, data_time: 0.055, memory: 52540, decode.loss_ce: 0.0402, decode.acc_seg: 88.6237, decode.kl_loss: 0.0641, loss: 0.1043 +2023-03-06 06:26:59,700 - mmseg - INFO - Iter [106700/160000] lr: 4.687e-06, eta: 3:36:56, time: 0.202, data_time: 0.007, memory: 52540, decode.loss_ce: 0.0402, decode.acc_seg: 88.7760, decode.kl_loss: 0.0649, loss: 0.1051 +2023-03-06 06:27:09,800 - mmseg - INFO - Iter [106750/160000] lr: 4.687e-06, eta: 3:36:42, time: 0.202, data_time: 0.008, memory: 52540, decode.loss_ce: 0.0398, decode.acc_seg: 88.9276, decode.kl_loss: 0.0646, loss: 0.1044 +2023-03-06 06:27:19,999 - mmseg - INFO - Iter [106800/160000] lr: 4.687e-06, eta: 3:36:29, time: 0.204, data_time: 0.007, memory: 52540, decode.loss_ce: 0.0401, decode.acc_seg: 88.6689, decode.kl_loss: 0.0640, loss: 0.1041 +2023-03-06 06:27:30,368 - mmseg - INFO - Iter [106850/160000] lr: 4.687e-06, eta: 3:36:16, time: 0.207, data_time: 0.008, memory: 52540, decode.loss_ce: 0.0395, decode.acc_seg: 89.0596, decode.kl_loss: 0.0621, loss: 0.1015 +2023-03-06 06:27:40,437 - mmseg - INFO - Iter [106900/160000] lr: 4.687e-06, eta: 3:36:03, time: 0.201, data_time: 0.007, memory: 52540, decode.loss_ce: 0.0393, decode.acc_seg: 89.1772, decode.kl_loss: 0.0623, loss: 0.1016 +2023-03-06 06:27:50,518 - mmseg - INFO - Iter [106950/160000] lr: 4.687e-06, eta: 3:35:49, time: 0.202, data_time: 0.008, memory: 52540, decode.loss_ce: 0.0390, decode.acc_seg: 89.1324, decode.kl_loss: 0.0641, loss: 0.1031 +2023-03-06 06:28:00,510 - mmseg - INFO - Exp name: ablation_segformer_mit_b2_segformer_head_unet_fc_small_multi_step_ade_pretrained_freeze_embed_160k_ade20k151_finetune_ema_ce.py +2023-03-06 06:28:00,510 - mmseg - INFO - Iter [107000/160000] lr: 4.687e-06, eta: 3:35:36, time: 0.200, data_time: 0.007, memory: 52540, decode.loss_ce: 0.0412, decode.acc_seg: 88.5552, decode.kl_loss: 0.0668, loss: 0.1080 +2023-03-06 06:28:10,567 - mmseg - INFO - Iter [107050/160000] lr: 4.687e-06, eta: 3:35:23, time: 0.201, data_time: 0.008, memory: 52540, decode.loss_ce: 0.0383, decode.acc_seg: 89.1751, decode.kl_loss: 0.0617, loss: 0.1000 +2023-03-06 06:28:20,471 - mmseg - INFO - Iter [107100/160000] lr: 4.687e-06, eta: 3:35:10, time: 0.198, data_time: 0.007, memory: 52540, decode.loss_ce: 0.0383, decode.acc_seg: 89.1923, decode.kl_loss: 0.0634, loss: 0.1016 +2023-03-06 06:28:30,433 - mmseg - INFO - Iter [107150/160000] lr: 4.687e-06, eta: 3:34:56, time: 0.199, data_time: 0.007, memory: 52540, decode.loss_ce: 0.0383, decode.acc_seg: 89.2164, decode.kl_loss: 0.0640, loss: 0.1023 +2023-03-06 06:28:40,330 - mmseg - INFO - Iter [107200/160000] lr: 4.687e-06, eta: 3:34:43, time: 0.198, data_time: 0.007, memory: 52540, decode.loss_ce: 0.0381, decode.acc_seg: 89.4614, decode.kl_loss: 0.0617, loss: 0.0998 +2023-03-06 06:28:50,317 - mmseg - INFO - Iter [107250/160000] lr: 4.687e-06, eta: 3:34:30, time: 0.200, data_time: 0.007, memory: 52540, decode.loss_ce: 0.0386, decode.acc_seg: 89.0210, decode.kl_loss: 0.0664, loss: 0.1051 +2023-03-06 06:29:02,733 - mmseg - INFO - Iter [107300/160000] lr: 4.687e-06, eta: 3:34:18, time: 0.248, data_time: 0.053, memory: 52540, decode.loss_ce: 0.0396, decode.acc_seg: 89.1959, decode.kl_loss: 0.0614, loss: 0.1010 +2023-03-06 06:29:13,204 - mmseg - INFO - Iter [107350/160000] lr: 4.687e-06, eta: 3:34:05, time: 0.209, data_time: 0.008, memory: 52540, decode.loss_ce: 0.0375, decode.acc_seg: 89.3506, decode.kl_loss: 0.0615, loss: 0.0989 +2023-03-06 06:29:23,461 - mmseg - INFO - Iter [107400/160000] lr: 4.687e-06, eta: 3:33:51, time: 0.205, data_time: 0.007, memory: 52540, decode.loss_ce: 0.0390, decode.acc_seg: 89.1387, decode.kl_loss: 0.0624, loss: 0.1014 +2023-03-06 06:29:33,418 - mmseg - INFO - Iter [107450/160000] lr: 4.687e-06, eta: 3:33:38, time: 0.199, data_time: 0.007, memory: 52540, decode.loss_ce: 0.0386, decode.acc_seg: 89.2317, decode.kl_loss: 0.0610, loss: 0.0996 +2023-03-06 06:29:43,574 - mmseg - INFO - Iter [107500/160000] lr: 4.687e-06, eta: 3:33:25, time: 0.203, data_time: 0.007, memory: 52540, decode.loss_ce: 0.0382, decode.acc_seg: 89.3171, decode.kl_loss: 0.0609, loss: 0.0991 +2023-03-06 06:29:53,648 - mmseg - INFO - Iter [107550/160000] lr: 4.687e-06, eta: 3:33:12, time: 0.201, data_time: 0.007, memory: 52540, decode.loss_ce: 0.0401, decode.acc_seg: 88.8552, decode.kl_loss: 0.0647, loss: 0.1048 +2023-03-06 06:30:03,972 - mmseg - INFO - Iter [107600/160000] lr: 4.687e-06, eta: 3:32:59, time: 0.206, data_time: 0.007, memory: 52540, decode.loss_ce: 0.0389, decode.acc_seg: 88.9649, decode.kl_loss: 0.0628, loss: 0.1017 +2023-03-06 06:30:14,166 - mmseg - INFO - Iter [107650/160000] lr: 4.687e-06, eta: 3:32:45, time: 0.204, data_time: 0.008, memory: 52540, decode.loss_ce: 0.0406, decode.acc_seg: 88.6723, decode.kl_loss: 0.0644, loss: 0.1050 +2023-03-06 06:30:24,376 - mmseg - INFO - Iter [107700/160000] lr: 4.687e-06, eta: 3:32:32, time: 0.204, data_time: 0.007, memory: 52540, decode.loss_ce: 0.0391, decode.acc_seg: 89.0837, decode.kl_loss: 0.0609, loss: 0.1000 +2023-03-06 06:30:34,639 - mmseg - INFO - Iter [107750/160000] lr: 4.687e-06, eta: 3:32:19, time: 0.205, data_time: 0.007, memory: 52540, decode.loss_ce: 0.0394, decode.acc_seg: 88.9048, decode.kl_loss: 0.0632, loss: 0.1026 +2023-03-06 06:30:44,999 - mmseg - INFO - Iter [107800/160000] lr: 4.687e-06, eta: 3:32:06, time: 0.207, data_time: 0.008, memory: 52540, decode.loss_ce: 0.0389, decode.acc_seg: 89.3415, decode.kl_loss: 0.0617, loss: 0.1006 +2023-03-06 06:30:54,989 - mmseg - INFO - Iter [107850/160000] lr: 4.687e-06, eta: 3:31:53, time: 0.200, data_time: 0.007, memory: 52540, decode.loss_ce: 0.0406, decode.acc_seg: 88.8536, decode.kl_loss: 0.0625, loss: 0.1030 +2023-03-06 06:31:05,171 - mmseg - INFO - Iter [107900/160000] lr: 4.687e-06, eta: 3:31:40, time: 0.204, data_time: 0.007, memory: 52540, decode.loss_ce: 0.0390, decode.acc_seg: 89.1334, decode.kl_loss: 0.0603, loss: 0.0993 +2023-03-06 06:31:17,822 - mmseg - INFO - Iter [107950/160000] lr: 4.687e-06, eta: 3:31:28, time: 0.253, data_time: 0.055, memory: 52540, decode.loss_ce: 0.0387, decode.acc_seg: 89.2542, decode.kl_loss: 0.0607, loss: 0.0994 +2023-03-06 06:31:27,992 - mmseg - INFO - Exp name: ablation_segformer_mit_b2_segformer_head_unet_fc_small_multi_step_ade_pretrained_freeze_embed_160k_ade20k151_finetune_ema_ce.py +2023-03-06 06:31:27,992 - mmseg - INFO - Iter [108000/160000] lr: 4.687e-06, eta: 3:31:14, time: 0.204, data_time: 0.007, memory: 52540, decode.loss_ce: 0.0377, decode.acc_seg: 89.1910, decode.kl_loss: 0.0623, loss: 0.1001 +2023-03-06 06:31:38,131 - mmseg - INFO - Iter [108050/160000] lr: 4.687e-06, eta: 3:31:01, time: 0.203, data_time: 0.007, memory: 52540, decode.loss_ce: 0.0384, decode.acc_seg: 89.1564, decode.kl_loss: 0.0622, loss: 0.1005 +2023-03-06 06:31:48,296 - mmseg - INFO - Iter [108100/160000] lr: 4.687e-06, eta: 3:30:48, time: 0.203, data_time: 0.007, memory: 52540, decode.loss_ce: 0.0385, decode.acc_seg: 89.2601, decode.kl_loss: 0.0612, loss: 0.0997 +2023-03-06 06:31:58,590 - mmseg - INFO - Iter [108150/160000] lr: 4.687e-06, eta: 3:30:35, time: 0.206, data_time: 0.007, memory: 52540, decode.loss_ce: 0.0397, decode.acc_seg: 89.1522, decode.kl_loss: 0.0617, loss: 0.1014 +2023-03-06 06:32:08,566 - mmseg - INFO - Iter [108200/160000] lr: 4.687e-06, eta: 3:30:22, time: 0.200, data_time: 0.007, memory: 52540, decode.loss_ce: 0.0390, decode.acc_seg: 88.8580, decode.kl_loss: 0.0652, loss: 0.1042 +2023-03-06 06:32:18,504 - mmseg - INFO - Iter [108250/160000] lr: 4.687e-06, eta: 3:30:09, time: 0.199, data_time: 0.007, memory: 52540, decode.loss_ce: 0.0397, decode.acc_seg: 88.8290, decode.kl_loss: 0.0617, loss: 0.1014 +2023-03-06 06:32:28,461 - mmseg - INFO - Iter [108300/160000] lr: 4.687e-06, eta: 3:29:55, time: 0.199, data_time: 0.007, memory: 52540, decode.loss_ce: 0.0385, decode.acc_seg: 89.2713, decode.kl_loss: 0.0612, loss: 0.0997 +2023-03-06 06:32:38,538 - mmseg - INFO - Iter [108350/160000] lr: 4.687e-06, eta: 3:29:42, time: 0.202, data_time: 0.007, memory: 52540, decode.loss_ce: 0.0384, decode.acc_seg: 89.2101, decode.kl_loss: 0.0599, loss: 0.0983 +2023-03-06 06:32:49,053 - mmseg - INFO - Iter [108400/160000] lr: 4.687e-06, eta: 3:29:29, time: 0.210, data_time: 0.007, memory: 52540, decode.loss_ce: 0.0386, decode.acc_seg: 89.0634, decode.kl_loss: 0.0630, loss: 0.1016 +2023-03-06 06:32:58,985 - mmseg - INFO - Iter [108450/160000] lr: 4.687e-06, eta: 3:29:16, time: 0.199, data_time: 0.007, memory: 52540, decode.loss_ce: 0.0379, decode.acc_seg: 89.3778, decode.kl_loss: 0.0599, loss: 0.0977 +2023-03-06 06:33:09,273 - mmseg - INFO - Iter [108500/160000] lr: 4.687e-06, eta: 3:29:03, time: 0.206, data_time: 0.007, memory: 52540, decode.loss_ce: 0.0386, decode.acc_seg: 89.1896, decode.kl_loss: 0.0630, loss: 0.1016 +2023-03-06 06:33:21,764 - mmseg - INFO - Iter [108550/160000] lr: 4.687e-06, eta: 3:28:51, time: 0.250, data_time: 0.055, memory: 52540, decode.loss_ce: 0.0396, decode.acc_seg: 89.0471, decode.kl_loss: 0.0617, loss: 0.1013 +2023-03-06 06:33:31,692 - mmseg - INFO - Iter [108600/160000] lr: 4.687e-06, eta: 3:28:38, time: 0.199, data_time: 0.007, memory: 52540, decode.loss_ce: 0.0395, decode.acc_seg: 88.8898, decode.kl_loss: 0.0655, loss: 0.1050 +2023-03-06 06:33:41,871 - mmseg - INFO - Iter [108650/160000] lr: 4.687e-06, eta: 3:28:24, time: 0.204, data_time: 0.007, memory: 52540, decode.loss_ce: 0.0374, decode.acc_seg: 89.6297, decode.kl_loss: 0.0615, loss: 0.0989 +2023-03-06 06:33:51,962 - mmseg - INFO - Iter [108700/160000] lr: 4.687e-06, eta: 3:28:11, time: 0.202, data_time: 0.007, memory: 52540, decode.loss_ce: 0.0377, decode.acc_seg: 89.5174, decode.kl_loss: 0.0649, loss: 0.1027 +2023-03-06 06:34:01,977 - mmseg - INFO - Iter [108750/160000] lr: 4.687e-06, eta: 3:27:58, time: 0.200, data_time: 0.007, memory: 52540, decode.loss_ce: 0.0391, decode.acc_seg: 89.1862, decode.kl_loss: 0.0658, loss: 0.1050 +2023-03-06 06:34:12,109 - mmseg - INFO - Iter [108800/160000] lr: 4.687e-06, eta: 3:27:45, time: 0.203, data_time: 0.007, memory: 52540, decode.loss_ce: 0.0384, decode.acc_seg: 89.2793, decode.kl_loss: 0.0662, loss: 0.1046 +2023-03-06 06:34:22,148 - mmseg - INFO - Iter [108850/160000] lr: 4.687e-06, eta: 3:27:32, time: 0.201, data_time: 0.007, memory: 52540, decode.loss_ce: 0.0382, decode.acc_seg: 89.2510, decode.kl_loss: 0.0677, loss: 0.1059 +2023-03-06 06:34:32,073 - mmseg - INFO - Iter [108900/160000] lr: 4.687e-06, eta: 3:27:19, time: 0.199, data_time: 0.007, memory: 52540, decode.loss_ce: 0.0384, decode.acc_seg: 89.3979, decode.kl_loss: 0.0687, loss: 0.1071 +2023-03-06 06:34:41,952 - mmseg - INFO - Iter [108950/160000] lr: 4.687e-06, eta: 3:27:05, time: 0.198, data_time: 0.007, memory: 52540, decode.loss_ce: 0.0399, decode.acc_seg: 88.9017, decode.kl_loss: 0.0711, loss: 0.1110 +2023-03-06 06:34:52,197 - mmseg - INFO - Exp name: ablation_segformer_mit_b2_segformer_head_unet_fc_small_multi_step_ade_pretrained_freeze_embed_160k_ade20k151_finetune_ema_ce.py +2023-03-06 06:34:52,197 - mmseg - INFO - Iter [109000/160000] lr: 4.687e-06, eta: 3:26:52, time: 0.205, data_time: 0.007, memory: 52540, decode.loss_ce: 0.0381, decode.acc_seg: 89.4425, decode.kl_loss: 0.0697, loss: 0.1078 +2023-03-06 06:35:02,399 - mmseg - INFO - Iter [109050/160000] lr: 4.687e-06, eta: 3:26:39, time: 0.204, data_time: 0.007, memory: 52540, decode.loss_ce: 0.0395, decode.acc_seg: 89.0243, decode.kl_loss: 0.0698, loss: 0.1093 +2023-03-06 06:35:12,510 - mmseg - INFO - Iter [109100/160000] lr: 4.687e-06, eta: 3:26:26, time: 0.202, data_time: 0.007, memory: 52540, decode.loss_ce: 0.0383, decode.acc_seg: 89.2684, decode.kl_loss: 0.0669, loss: 0.1052 +2023-03-06 06:35:22,636 - mmseg - INFO - Iter [109150/160000] lr: 4.687e-06, eta: 3:26:13, time: 0.203, data_time: 0.007, memory: 52540, decode.loss_ce: 0.0378, decode.acc_seg: 89.4770, decode.kl_loss: 0.0672, loss: 0.1049 +2023-03-06 06:35:35,205 - mmseg - INFO - Iter [109200/160000] lr: 4.687e-06, eta: 3:26:01, time: 0.251, data_time: 0.058, memory: 52540, decode.loss_ce: 0.0396, decode.acc_seg: 88.9683, decode.kl_loss: 0.0671, loss: 0.1067 +2023-03-06 06:35:45,406 - mmseg - INFO - Iter [109250/160000] lr: 4.687e-06, eta: 3:25:48, time: 0.204, data_time: 0.007, memory: 52540, decode.loss_ce: 0.0394, decode.acc_seg: 89.1154, decode.kl_loss: 0.0670, loss: 0.1064 +2023-03-06 06:35:55,673 - mmseg - INFO - Iter [109300/160000] lr: 4.687e-06, eta: 3:25:35, time: 0.205, data_time: 0.007, memory: 52540, decode.loss_ce: 0.0385, decode.acc_seg: 89.2259, decode.kl_loss: 0.0629, loss: 0.1014 +2023-03-06 06:36:05,671 - mmseg - INFO - Iter [109350/160000] lr: 4.687e-06, eta: 3:25:22, time: 0.200, data_time: 0.007, memory: 52540, decode.loss_ce: 0.0383, decode.acc_seg: 89.4454, decode.kl_loss: 0.0615, loss: 0.0997 +2023-03-06 06:36:15,741 - mmseg - INFO - Iter [109400/160000] lr: 4.687e-06, eta: 3:25:08, time: 0.201, data_time: 0.007, memory: 52540, decode.loss_ce: 0.0386, decode.acc_seg: 89.3417, decode.kl_loss: 0.0657, loss: 0.1043 +2023-03-06 06:36:25,638 - mmseg - INFO - Iter [109450/160000] lr: 4.687e-06, eta: 3:24:55, time: 0.198, data_time: 0.007, memory: 52540, decode.loss_ce: 0.0372, decode.acc_seg: 89.5607, decode.kl_loss: 0.0628, loss: 0.0999 +2023-03-06 06:36:35,749 - mmseg - INFO - Iter [109500/160000] lr: 4.687e-06, eta: 3:24:42, time: 0.202, data_time: 0.008, memory: 52540, decode.loss_ce: 0.0400, decode.acc_seg: 89.0521, decode.kl_loss: 0.0630, loss: 0.1030 +2023-03-06 06:36:45,863 - mmseg - INFO - Iter [109550/160000] lr: 4.687e-06, eta: 3:24:29, time: 0.202, data_time: 0.007, memory: 52540, decode.loss_ce: 0.0398, decode.acc_seg: 88.9563, decode.kl_loss: 0.0650, loss: 0.1047 +2023-03-06 06:36:55,984 - mmseg - INFO - Iter [109600/160000] lr: 4.687e-06, eta: 3:24:16, time: 0.202, data_time: 0.007, memory: 52540, decode.loss_ce: 0.0401, decode.acc_seg: 89.0468, decode.kl_loss: 0.0636, loss: 0.1037 +2023-03-06 06:37:06,203 - mmseg - INFO - Iter [109650/160000] lr: 4.687e-06, eta: 3:24:03, time: 0.204, data_time: 0.007, memory: 52540, decode.loss_ce: 0.0397, decode.acc_seg: 89.0669, decode.kl_loss: 0.0631, loss: 0.1028 +2023-03-06 06:37:16,362 - mmseg - INFO - Iter [109700/160000] lr: 4.687e-06, eta: 3:23:50, time: 0.203, data_time: 0.008, memory: 52540, decode.loss_ce: 0.0386, decode.acc_seg: 89.1856, decode.kl_loss: 0.0637, loss: 0.1023 +2023-03-06 06:37:26,529 - mmseg - INFO - Iter [109750/160000] lr: 4.687e-06, eta: 3:23:37, time: 0.203, data_time: 0.007, memory: 52540, decode.loss_ce: 0.0397, decode.acc_seg: 88.9263, decode.kl_loss: 0.0643, loss: 0.1040 +2023-03-06 06:37:39,254 - mmseg - INFO - Iter [109800/160000] lr: 4.687e-06, eta: 3:23:25, time: 0.255, data_time: 0.056, memory: 52540, decode.loss_ce: 0.0411, decode.acc_seg: 88.8791, decode.kl_loss: 0.0617, loss: 0.1028 +2023-03-06 06:37:49,286 - mmseg - INFO - Iter [109850/160000] lr: 4.687e-06, eta: 3:23:12, time: 0.201, data_time: 0.007, memory: 52540, decode.loss_ce: 0.0382, decode.acc_seg: 89.1742, decode.kl_loss: 0.0652, loss: 0.1033 +2023-03-06 06:37:59,406 - mmseg - INFO - Iter [109900/160000] lr: 4.687e-06, eta: 3:22:59, time: 0.202, data_time: 0.007, memory: 52540, decode.loss_ce: 0.0387, decode.acc_seg: 89.1750, decode.kl_loss: 0.0635, loss: 0.1021 +2023-03-06 06:38:09,591 - mmseg - INFO - Iter [109950/160000] lr: 4.687e-06, eta: 3:22:46, time: 0.204, data_time: 0.007, memory: 52540, decode.loss_ce: 0.0394, decode.acc_seg: 89.0458, decode.kl_loss: 0.0624, loss: 0.1018 +2023-03-06 06:38:19,602 - mmseg - INFO - Exp name: ablation_segformer_mit_b2_segformer_head_unet_fc_small_multi_step_ade_pretrained_freeze_embed_160k_ade20k151_finetune_ema_ce.py +2023-03-06 06:38:19,602 - mmseg - INFO - Iter [110000/160000] lr: 4.687e-06, eta: 3:22:32, time: 0.200, data_time: 0.007, memory: 52540, decode.loss_ce: 0.0388, decode.acc_seg: 89.2382, decode.kl_loss: 0.0624, loss: 0.1012 +2023-03-06 06:38:29,707 - mmseg - INFO - Iter [110050/160000] lr: 4.687e-06, eta: 3:22:19, time: 0.202, data_time: 0.007, memory: 52540, decode.loss_ce: 0.0380, decode.acc_seg: 89.3855, decode.kl_loss: 0.0616, loss: 0.0996 +2023-03-06 06:38:39,681 - mmseg - INFO - Iter [110100/160000] lr: 4.687e-06, eta: 3:22:06, time: 0.199, data_time: 0.007, memory: 52540, decode.loss_ce: 0.0391, decode.acc_seg: 89.0823, decode.kl_loss: 0.0656, loss: 0.1048 +2023-03-06 06:38:49,805 - mmseg - INFO - Iter [110150/160000] lr: 4.687e-06, eta: 3:21:53, time: 0.202, data_time: 0.007, memory: 52540, decode.loss_ce: 0.0393, decode.acc_seg: 89.0521, decode.kl_loss: 0.0651, loss: 0.1045 +2023-03-06 06:39:00,393 - mmseg - INFO - Iter [110200/160000] lr: 4.687e-06, eta: 3:21:40, time: 0.212, data_time: 0.007, memory: 52540, decode.loss_ce: 0.0394, decode.acc_seg: 89.0392, decode.kl_loss: 0.0671, loss: 0.1065 +2023-03-06 06:39:10,930 - mmseg - INFO - Iter [110250/160000] lr: 4.687e-06, eta: 3:21:27, time: 0.211, data_time: 0.008, memory: 52540, decode.loss_ce: 0.0407, decode.acc_seg: 88.7796, decode.kl_loss: 0.0668, loss: 0.1075 +2023-03-06 06:39:21,192 - mmseg - INFO - Iter [110300/160000] lr: 4.687e-06, eta: 3:21:14, time: 0.205, data_time: 0.007, memory: 52540, decode.loss_ce: 0.0388, decode.acc_seg: 89.3075, decode.kl_loss: 0.0626, loss: 0.1014 +2023-03-06 06:39:31,429 - mmseg - INFO - Iter [110350/160000] lr: 4.687e-06, eta: 3:21:01, time: 0.205, data_time: 0.007, memory: 52540, decode.loss_ce: 0.0388, decode.acc_seg: 89.3159, decode.kl_loss: 0.0657, loss: 0.1045 +2023-03-06 06:39:41,759 - mmseg - INFO - Iter [110400/160000] lr: 4.687e-06, eta: 3:20:48, time: 0.207, data_time: 0.007, memory: 52540, decode.loss_ce: 0.0391, decode.acc_seg: 89.3141, decode.kl_loss: 0.0652, loss: 0.1043 +2023-03-06 06:39:54,330 - mmseg - INFO - Iter [110450/160000] lr: 4.687e-06, eta: 3:20:37, time: 0.251, data_time: 0.054, memory: 52540, decode.loss_ce: 0.0390, decode.acc_seg: 89.2356, decode.kl_loss: 0.0604, loss: 0.0994 +2023-03-06 06:40:04,631 - mmseg - INFO - Iter [110500/160000] lr: 4.687e-06, eta: 3:20:24, time: 0.206, data_time: 0.007, memory: 52540, decode.loss_ce: 0.0384, decode.acc_seg: 89.3076, decode.kl_loss: 0.0616, loss: 0.1000 +2023-03-06 06:40:14,717 - mmseg - INFO - Iter [110550/160000] lr: 4.687e-06, eta: 3:20:10, time: 0.202, data_time: 0.007, memory: 52540, decode.loss_ce: 0.0388, decode.acc_seg: 89.3311, decode.kl_loss: 0.0617, loss: 0.1005 +2023-03-06 06:40:25,087 - mmseg - INFO - Iter [110600/160000] lr: 4.687e-06, eta: 3:19:58, time: 0.207, data_time: 0.007, memory: 52540, decode.loss_ce: 0.0385, decode.acc_seg: 89.2294, decode.kl_loss: 0.0619, loss: 0.1004 +2023-03-06 06:40:35,052 - mmseg - INFO - Iter [110650/160000] lr: 4.687e-06, eta: 3:19:44, time: 0.199, data_time: 0.007, memory: 52540, decode.loss_ce: 0.0394, decode.acc_seg: 89.0923, decode.kl_loss: 0.0597, loss: 0.0992 +2023-03-06 06:40:44,954 - mmseg - INFO - Iter [110700/160000] lr: 4.687e-06, eta: 3:19:31, time: 0.198, data_time: 0.007, memory: 52540, decode.loss_ce: 0.0375, decode.acc_seg: 89.4078, decode.kl_loss: 0.0603, loss: 0.0978 +2023-03-06 06:40:55,050 - mmseg - INFO - Iter [110750/160000] lr: 4.687e-06, eta: 3:19:18, time: 0.202, data_time: 0.007, memory: 52540, decode.loss_ce: 0.0390, decode.acc_seg: 89.1846, decode.kl_loss: 0.0632, loss: 0.1021 +2023-03-06 06:41:04,969 - mmseg - INFO - Iter [110800/160000] lr: 4.687e-06, eta: 3:19:05, time: 0.198, data_time: 0.007, memory: 52540, decode.loss_ce: 0.0398, decode.acc_seg: 89.1605, decode.kl_loss: 0.0604, loss: 0.1003 +2023-03-06 06:41:14,942 - mmseg - INFO - Iter [110850/160000] lr: 4.687e-06, eta: 3:18:52, time: 0.199, data_time: 0.007, memory: 52540, decode.loss_ce: 0.0391, decode.acc_seg: 89.2509, decode.kl_loss: 0.0602, loss: 0.0993 +2023-03-06 06:41:25,357 - mmseg - INFO - Iter [110900/160000] lr: 4.687e-06, eta: 3:18:39, time: 0.208, data_time: 0.007, memory: 52540, decode.loss_ce: 0.0394, decode.acc_seg: 89.2906, decode.kl_loss: 0.0598, loss: 0.0993 +2023-03-06 06:41:35,527 - mmseg - INFO - Iter [110950/160000] lr: 4.687e-06, eta: 3:18:26, time: 0.203, data_time: 0.007, memory: 52540, decode.loss_ce: 0.0373, decode.acc_seg: 89.6842, decode.kl_loss: 0.0590, loss: 0.0963 +2023-03-06 06:41:45,449 - mmseg - INFO - Exp name: ablation_segformer_mit_b2_segformer_head_unet_fc_small_multi_step_ade_pretrained_freeze_embed_160k_ade20k151_finetune_ema_ce.py +2023-03-06 06:41:45,450 - mmseg - INFO - Iter [111000/160000] lr: 4.687e-06, eta: 3:18:13, time: 0.198, data_time: 0.007, memory: 52540, decode.loss_ce: 0.0377, decode.acc_seg: 89.4913, decode.kl_loss: 0.0601, loss: 0.0979 +2023-03-06 06:41:55,540 - mmseg - INFO - Iter [111050/160000] lr: 4.687e-06, eta: 3:18:00, time: 0.202, data_time: 0.007, memory: 52540, decode.loss_ce: 0.0395, decode.acc_seg: 89.1821, decode.kl_loss: 0.0587, loss: 0.0982 +2023-03-06 06:42:08,156 - mmseg - INFO - Iter [111100/160000] lr: 4.687e-06, eta: 3:17:48, time: 0.252, data_time: 0.056, memory: 52540, decode.loss_ce: 0.0369, decode.acc_seg: 89.6125, decode.kl_loss: 0.0604, loss: 0.0973 +2023-03-06 06:42:18,151 - mmseg - INFO - Iter [111150/160000] lr: 4.687e-06, eta: 3:17:35, time: 0.200, data_time: 0.007, memory: 52540, decode.loss_ce: 0.0399, decode.acc_seg: 88.8600, decode.kl_loss: 0.0596, loss: 0.0995 +2023-03-06 06:42:28,257 - mmseg - INFO - Iter [111200/160000] lr: 4.687e-06, eta: 3:17:22, time: 0.202, data_time: 0.007, memory: 52540, decode.loss_ce: 0.0377, decode.acc_seg: 89.4631, decode.kl_loss: 0.0581, loss: 0.0958 +2023-03-06 06:42:38,118 - mmseg - INFO - Iter [111250/160000] lr: 4.687e-06, eta: 3:17:09, time: 0.197, data_time: 0.007, memory: 52540, decode.loss_ce: 0.0383, decode.acc_seg: 89.4477, decode.kl_loss: 0.0597, loss: 0.0980 +2023-03-06 06:42:48,345 - mmseg - INFO - Iter [111300/160000] lr: 4.687e-06, eta: 3:16:56, time: 0.205, data_time: 0.007, memory: 52540, decode.loss_ce: 0.0378, decode.acc_seg: 89.6051, decode.kl_loss: 0.0578, loss: 0.0955 +2023-03-06 06:42:58,733 - mmseg - INFO - Iter [111350/160000] lr: 4.687e-06, eta: 3:16:43, time: 0.208, data_time: 0.007, memory: 52540, decode.loss_ce: 0.0380, decode.acc_seg: 89.3781, decode.kl_loss: 0.0613, loss: 0.0993 +2023-03-06 06:43:08,640 - mmseg - INFO - Iter [111400/160000] lr: 4.687e-06, eta: 3:16:30, time: 0.198, data_time: 0.007, memory: 52540, decode.loss_ce: 0.0379, decode.acc_seg: 89.5466, decode.kl_loss: 0.0597, loss: 0.0976 +2023-03-06 06:43:18,525 - mmseg - INFO - Iter [111450/160000] lr: 4.687e-06, eta: 3:16:17, time: 0.198, data_time: 0.007, memory: 52540, decode.loss_ce: 0.0389, decode.acc_seg: 89.2927, decode.kl_loss: 0.0613, loss: 0.1002 +2023-03-06 06:43:28,559 - mmseg - INFO - Iter [111500/160000] lr: 4.687e-06, eta: 3:16:04, time: 0.201, data_time: 0.007, memory: 52540, decode.loss_ce: 0.0390, decode.acc_seg: 89.2096, decode.kl_loss: 0.0623, loss: 0.1013 +2023-03-06 06:43:38,610 - mmseg - INFO - Iter [111550/160000] lr: 4.687e-06, eta: 3:15:51, time: 0.201, data_time: 0.007, memory: 52540, decode.loss_ce: 0.0379, decode.acc_seg: 89.3909, decode.kl_loss: 0.0605, loss: 0.0984 +2023-03-06 06:43:48,570 - mmseg - INFO - Iter [111600/160000] lr: 4.687e-06, eta: 3:15:38, time: 0.199, data_time: 0.007, memory: 52540, decode.loss_ce: 0.0381, decode.acc_seg: 89.3930, decode.kl_loss: 0.0616, loss: 0.0998 +2023-03-06 06:43:58,628 - mmseg - INFO - Iter [111650/160000] lr: 4.687e-06, eta: 3:15:25, time: 0.201, data_time: 0.007, memory: 52540, decode.loss_ce: 0.0383, decode.acc_seg: 89.2458, decode.kl_loss: 0.0628, loss: 0.1011 +2023-03-06 06:44:11,453 - mmseg - INFO - Iter [111700/160000] lr: 4.687e-06, eta: 3:15:13, time: 0.256, data_time: 0.056, memory: 52540, decode.loss_ce: 0.0388, decode.acc_seg: 89.2706, decode.kl_loss: 0.0621, loss: 0.1009 +2023-03-06 06:44:21,491 - mmseg - INFO - Iter [111750/160000] lr: 4.687e-06, eta: 3:15:00, time: 0.201, data_time: 0.007, memory: 52540, decode.loss_ce: 0.0386, decode.acc_seg: 89.3726, decode.kl_loss: 0.0615, loss: 0.1001 +2023-03-06 06:44:31,625 - mmseg - INFO - Iter [111800/160000] lr: 4.687e-06, eta: 3:14:47, time: 0.202, data_time: 0.007, memory: 52540, decode.loss_ce: 0.0384, decode.acc_seg: 89.3761, decode.kl_loss: 0.0645, loss: 0.1029 +2023-03-06 06:44:41,589 - mmseg - INFO - Iter [111850/160000] lr: 4.687e-06, eta: 3:14:34, time: 0.200, data_time: 0.007, memory: 52540, decode.loss_ce: 0.0394, decode.acc_seg: 89.0723, decode.kl_loss: 0.0620, loss: 0.1014 +2023-03-06 06:44:51,801 - mmseg - INFO - Iter [111900/160000] lr: 4.687e-06, eta: 3:14:21, time: 0.204, data_time: 0.007, memory: 52540, decode.loss_ce: 0.0382, decode.acc_seg: 89.3197, decode.kl_loss: 0.0657, loss: 0.1040 +2023-03-06 06:45:02,021 - mmseg - INFO - Iter [111950/160000] lr: 4.687e-06, eta: 3:14:08, time: 0.204, data_time: 0.007, memory: 52540, decode.loss_ce: 0.0391, decode.acc_seg: 89.1356, decode.kl_loss: 0.0636, loss: 0.1026 +2023-03-06 06:45:11,914 - mmseg - INFO - Swap parameters (after train) after iter [112000] +2023-03-06 06:45:11,928 - mmseg - INFO - Saving checkpoint at 112000 iterations +2023-03-06 06:45:13,083 - mmseg - INFO - Exp name: ablation_segformer_mit_b2_segformer_head_unet_fc_small_multi_step_ade_pretrained_freeze_embed_160k_ade20k151_finetune_ema_ce.py +2023-03-06 06:45:13,083 - mmseg - INFO - Iter [112000/160000] lr: 4.687e-06, eta: 3:13:55, time: 0.221, data_time: 0.007, memory: 52540, decode.loss_ce: 0.0377, decode.acc_seg: 89.4851, decode.kl_loss: 0.0654, loss: 0.1030 +2023-03-06 06:56:05,462 - mmseg - INFO - per class results: +2023-03-06 06:56:05,471 - mmseg - INFO - ++---------------------+-------------------------------------------------------------------+ +| Class | IoU 0,10,20,30,40,50,60,70,80,90,99 | ++---------------------+-------------------------------------------------------------------+ +| background | nan,nan,nan,nan,nan,nan,nan,nan,nan,nan,nan | +| wall | 74.67,74.98,74.96,74.93,74.91,74.88,74.86,74.84,74.84,74.8,74.69 | +| building | 80.02,80.19,80.17,80.15,80.13,80.11,80.09,80.06,80.03,79.98,79.87 | +| sky | 92.38,92.58,92.54,92.5,92.46,92.42,92.38,92.34,92.28,92.2,92.03 | +| floor | 79.1,79.34,79.33,79.3,79.27,79.24,79.18,79.14,79.09,79.01,78.87 | +| tree | 71.69,71.97,72.0,71.97,71.93,71.9,71.87,71.81,71.75,71.64,71.43 | +| ceiling | 81.95,82.37,82.35,82.32,82.27,82.24,82.2,82.16,82.14,82.07,81.99 | +| road | 79.86,80.07,80.05,80.03,80.0,79.99,79.96,79.93,79.89,79.83,79.67 | +| bed | 84.74,85.09,85.1,85.09,85.09,85.06,85.03,84.97,84.9,84.82,84.66 | +| windowpane | 55.69,56.2,56.15,56.09,56.04,55.97,55.88,55.82,55.73,55.58,55.24 | +| grass | 64.88,65.14,65.2,65.2,65.24,65.24,65.24,65.25,65.25,65.24,65.16 | +| cabinet | 56.95,57.38,57.36,57.32,57.32,57.24,57.19,57.1,57.0,56.81,56.52 | +| sidewalk | 59.39,59.87,59.83,59.81,59.73,59.7,59.64,59.57,59.47,59.32,59.06 | +| person | 76.16,76.51,76.45,76.43,76.43,76.39,76.35,76.32,76.29,76.2,76.01 | +| earth | 34.68,34.93,34.93,34.92,34.92,34.92,34.89,34.84,34.8,34.73,34.59 | +| door | 40.98,41.3,41.33,41.42,41.42,41.39,41.36,41.37,41.34,41.27,41.16 | +| table | 51.84,52.62,52.57,52.5,52.47,52.36,52.25,52.18,51.94,51.67,51.19 | +| mountain | 55.31,55.64,55.66,55.65,55.65,55.67,55.62,55.59,55.55,55.49,55.46 | +| plant | 48.06,48.4,48.43,48.35,48.35,48.3,48.28,48.25,48.23,48.15,48.04 | +| curtain | 70.22,70.88,70.91,70.83,70.78,70.75,70.72,70.65,70.58,70.43,70.14 | +| chair | 48.79,49.56,49.59,49.54,49.52,49.44,49.33,49.21,49.02,48.76,48.4 | +| car | 79.36,79.63,79.63,79.69,79.65,79.67,79.65,79.64,79.55,79.45,79.32 | +| water | 57.2,57.35,57.44,57.4,57.47,57.47,57.47,57.47,57.46,57.44,57.36 | +| painting | 67.35,67.84,67.84,67.86,67.8,67.76,67.65,67.63,67.5,67.38,67.08 | +| sofa | 50.3,51.47,51.23,51.08,50.86,50.79,50.58,50.45,50.3,50.1,49.73 | +| shelf | 40.7,41.39,41.36,41.31,41.27,41.17,41.1,41.01,40.86,40.65,40.28 | +| house | 40.72,40.62,40.71,40.79,40.83,40.87,40.94,40.87,41.02,41.18,41.38 | +| sea | 58.97,59.31,59.35,59.42,59.46,59.48,59.5,59.52,59.52,59.54,59.53 | +| mirror | 59.87,60.33,60.38,60.36,60.3,60.23,60.18,60.12,60.14,60.17,60.18 | +| rug | 59.48,60.11,60.15,60.04,60.05,59.96,59.96,59.86,59.86,59.81,59.61 | +| field | 29.7,29.83,29.87,29.87,29.87,29.88,29.85,29.84,29.78,29.74,29.67 | +| armchair | 33.18,33.54,33.53,33.62,33.63,33.65,33.64,33.6,33.57,33.44,33.27 | +| seat | 64.32,64.77,64.63,64.71,64.72,64.67,64.61,64.57,64.56,64.55,64.44 | +| fence | 38.94,39.44,39.46,39.4,39.45,39.43,39.53,39.58,39.69,39.69,39.66 | +| desk | 43.99,44.46,44.52,44.59,44.6,44.63,44.54,44.48,44.32,44.19,44.05 | +| rock | 36.28,36.59,36.55,36.62,36.57,36.52,36.47,36.53,36.49,36.43,36.27 | +| wardrobe | 52.8,53.44,53.5,53.52,53.59,53.54,53.53,53.5,53.45,53.33,53.21 | +| lamp | 55.58,56.23,56.17,56.16,56.05,56.01,55.93,55.97,55.92,55.79,55.62 | +| bathtub | 71.16,71.32,71.39,71.46,71.34,71.39,71.38,71.31,71.31,71.28,71.3 | +| railing | 33.47,33.7,33.71,33.73,33.81,33.76,33.71,33.74,33.66,33.59,33.48 | +| cushion | 42.11,43.08,43.08,43.1,42.98,42.99,42.9,42.83,42.7,42.4,41.72 | +| base | 17.14,17.51,17.49,17.43,17.33,17.32,17.25,17.32,17.28,17.35,17.45 | +| box | 20.46,20.63,20.65,20.63,20.67,20.7,20.72,20.71,20.78,20.76,20.75 | +| column | 40.45,41.07,41.07,41.15,41.21,41.25,41.24,41.26,41.33,41.32,41.28 | +| signboard | 33.38,34.11,34.07,34.2,34.24,34.31,34.21,34.25,34.21,34.27,34.13 | +| chest of drawers | 34.49,34.52,34.69,34.67,34.81,34.73,34.82,34.8,34.74,34.6,34.33 | +| counter | 30.72,30.71,30.86,30.93,30.98,31.04,31.0,31.1,31.06,30.95,30.79 | +| sand | 37.27,37.59,37.64,37.59,37.65,37.68,37.71,37.78,38.02,38.18,38.28 | +| sink | 61.99,62.41,62.38,62.49,62.5,62.55,62.39,62.3,62.27,62.12,61.9 | +| skyscraper | 46.78,46.77,46.65,46.79,46.8,46.84,47.06,47.13,47.26,47.37,47.57 | +| fireplace | 71.26,71.88,71.97,71.96,71.82,71.78,71.84,71.59,71.56,71.24,71.01 | +| refrigerator | 69.04,69.84,69.87,69.86,69.84,69.87,69.86,69.75,69.74,69.8,69.76 | +| grandstand | 50.65,50.8,51.04,51.19,51.26,51.21,51.16,51.09,51.07,50.93,50.95 | +| path | 19.82,19.86,19.81,19.9,19.89,19.93,19.91,19.89,19.99,20.01,19.98 | +| stairs | 30.35,30.6,30.65,30.7,30.76,30.71,30.65,30.74,30.7,30.71,30.72 | +| runway | 56.92,57.57,57.46,57.31,57.11,56.97,56.8,56.76,56.63,56.41,55.78 | +| case | 45.82,46.5,46.38,46.48,46.5,46.3,46.3,46.35,46.36,46.15,46.11 | +| pool table | 90.07,90.23,90.23,90.21,90.15,90.19,90.17,90.15,90.21,90.16,90.07 | +| pillow | 48.87,49.82,49.89,49.86,49.86,49.73,49.64,49.46,49.16,49.04,48.81 | +| screen door | 65.55,65.07,65.2,65.3,65.17,65.08,65.21,65.26,65.29,65.36,65.42 | +| stairway | 21.9,22.06,22.08,22.05,22.18,22.0,22.13,22.02,22.14,22.09,22.17 | +| river | 11.88,11.79,11.72,11.82,11.79,11.85,11.84,11.83,11.85,11.84,11.81 | +| bridge | 35.07,34.81,35.07,35.18,35.28,35.39,35.36,35.4,35.44,35.51,35.49 | +| bookcase | 40.81,42.04,41.89,41.94,41.98,41.9,41.8,41.75,41.76,41.55,41.29 | +| blind | 33.41,34.1,33.99,33.89,33.71,33.71,33.56,33.44,33.43,33.55,33.49 | +| coffee table | 50.41,50.95,51.04,51.17,51.25,51.21,51.1,51.14,51.15,51.01,50.77 | +| toilet | 79.43,79.87,79.78,79.69,79.82,79.87,79.87,79.91,79.87,79.75,79.5 | +| flower | 37.68,38.09,38.01,37.79,38.01,37.85,37.94,37.8,37.79,37.68,37.54 | +| book | 41.42,41.7,41.66,41.65,41.59,41.51,41.4,41.4,41.37,41.29,41.2 | +| hill | 13.25,13.4,13.36,13.44,13.38,13.33,13.34,13.43,13.47,13.38,13.32 | +| bench | 39.34,40.26,40.17,40.27,40.28,40.28,40.25,40.11,39.95,39.7,39.46 | +| countertop | 49.84,50.06,50.16,50.03,50.06,50.14,50.06,49.89,49.92,49.89,49.87 | +| stove | 66.96,67.4,67.48,67.48,67.42,67.42,67.32,67.28,67.28,67.21,67.17 | +| palm | 46.71,46.97,46.92,46.92,46.98,46.85,46.84,46.89,46.88,46.79,46.66 | +| kitchen island | 31.89,32.31,32.39,32.39,32.35,32.35,32.4,32.42,32.18,32.17,32.05 | +| computer | 54.21,55.18,55.07,55.15,55.03,55.0,55.0,54.87,54.77,54.65,54.52 | +| swivel chair | 41.51,41.6,41.66,41.73,41.78,41.98,42.08,42.03,42.21,42.2,42.18 | +| boat | 65.77,66.37,66.42,66.4,66.82,66.82,66.96,66.87,67.05,66.99,66.81 | +| bar | 21.2,21.32,21.28,21.34,21.31,21.29,21.29,21.46,21.54,21.6,21.67 | +| arcade machine | 68.76,69.42,69.87,69.79,69.87,70.14,70.19,70.34,70.69,70.9,71.05 | +| hovel | 35.64,33.93,34.53,34.72,35.14,35.76,36.14,36.61,37.14,37.38,37.54 | +| bus | 77.2,77.06,77.19,77.32,77.21,77.27,77.38,77.29,77.29,77.08,77.03 | +| towel | 56.88,56.99,57.16,57.11,57.18,57.19,57.22,57.31,57.32,57.26,57.16 | +| light | 45.46,45.33,45.36,45.62,45.76,45.9,45.8,45.91,45.94,45.88,46.07 | +| truck | 17.83,18.81,18.65,18.7,18.51,18.4,18.17,18.03,17.86,17.6,17.67 | +| tower | 11.19,10.97,11.04,11.2,11.13,11.12,11.2,11.33,11.39,11.32,11.21 | +| chandelier | 61.79,62.39,62.17,62.21,62.14,62.2,62.09,61.95,61.99,61.89,61.83 | +| awning | 21.05,21.03,21.01,20.97,21.07,21.14,21.13,21.17,21.25,21.33,21.34 | +| streetlight | 22.1,21.97,21.94,22.07,22.02,22.12,22.13,22.11,22.2,22.3,22.24 | +| booth | 39.67,39.54,39.59,39.35,39.17,39.31,39.47,39.42,39.44,39.67,39.9 | +| television receiver | 63.01,63.25,63.28,63.41,63.43,63.58,63.45,63.53,63.58,63.37,63.27 | +| airplane | 56.39,56.51,56.58,56.66,56.75,56.76,56.57,56.56,56.74,56.58,56.44 | +| dirt track | 12.43,13.86,13.87,13.88,14.2,14.07,14.3,14.09,13.9,13.93,13.89 | +| apparel | 33.57,34.06,34.25,34.43,34.12,34.26,34.07,33.98,33.73,33.58,33.27 | +| pole | 8.82,9.89,9.79,9.68,9.52,9.58,9.41,9.35,9.15,9.02,8.77 | +| land | 2.95,3.12,3.0,3.02,2.99,2.96,3.06,3.06,3.09,3.12,3.17 | +| bannister | 9.47,9.47,9.42,9.41,9.57,9.56,9.58,9.63,9.76,9.95,10.14 | +| escalator | 21.88,22.29,22.31,22.35,22.31,22.52,22.55,22.66,22.75,22.86,23.02 | +| ottoman | 35.81,36.42,36.38,36.39,36.48,36.5,36.59,36.42,36.68,36.62,36.57 | +| bottle | 29.66,29.7,29.5,29.81,29.58,29.86,30.09,29.93,29.82,29.83,30.13 | +| buffet | 38.28,37.69,38.01,38.18,38.23,38.72,38.77,39.02,39.36,39.61,39.92 | +| poster | 21.49,21.55,21.51,21.7,21.78,21.66,21.85,21.9,22.07,21.99,21.97 | +| stage | 12.51,12.4,12.49,12.42,12.45,12.45,12.45,12.48,12.59,12.7,12.81 | +| van | 37.27,37.52,37.58,37.4,37.46,37.63,37.46,37.54,37.53,37.43,37.32 | +| ship | 75.96,75.94,75.87,76.43,76.5,76.52,76.63,76.78,76.75,76.57,76.55 | +| fountain | 9.26,9.5,9.01,8.93,8.88,8.78,8.81,8.88,8.93,9.01,9.23 | +| conveyer belt | 61.53,64.84,64.8,64.76,64.23,64.23,63.73,63.35,63.08,62.94,62.24 | +| canopy | 19.25,19.22,19.2,19.33,19.15,19.15,19.18,19.29,19.16,19.21,19.18 | +| washer | 73.57,73.46,73.57,73.46,73.49,73.35,73.41,73.63,73.89,74.27,74.7 | +| plaything | 17.82,18.09,18.46,18.34,18.47,18.38,18.51,18.31,18.32,18.06,18.0 | +| swimming pool | 70.97,71.61,71.65,71.98,72.09,72.12,72.23,71.94,72.19,72.42,72.37 | +| stool | 34.48,35.79,35.82,36.03,35.88,35.84,35.66,35.65,35.58,35.57,35.47 | +| barrel | 27.54,25.91,27.1,27.59,27.72,28.36,28.68,28.88,29.22,29.18,29.0 | +| basket | 20.46,21.28,21.23,21.2,21.28,21.2,21.01,20.99,20.89,20.87,20.76 | +| waterfall | 52.07,52.21,52.15,51.89,52.0,51.88,51.66,51.42,51.48,51.29,51.22 | +| tent | 92.3,93.0,93.17,93.18,93.2,93.19,93.16,93.13,93.04,92.94,92.74 | +| bag | 13.84,13.52,13.57,13.71,13.74,13.81,13.82,13.78,13.8,13.66,13.58 | +| minibike | 51.12,54.09,54.09,54.38,54.21,54.47,54.25,54.17,54.41,54.65,54.75 | +| cradle | 80.96,81.29,81.29,81.61,81.42,81.59,81.46,81.59,81.71,81.69,81.72 | +| oven | 43.88,44.19,44.49,44.68,44.79,44.86,44.98,45.04,45.2,45.47,45.4 | +| ball | 45.15,45.62,45.77,45.45,45.52,45.17,45.02,44.99,44.53,44.4,43.99 | +| food | 45.83,47.81,47.69,47.75,48.1,47.95,48.21,48.25,48.41,48.21,47.82 | +| step | 5.65,5.76,5.74,5.64,5.62,5.56,5.48,5.5,5.38,5.34,5.37 | +| tank | 50.48,50.74,50.86,50.91,50.85,50.8,50.74,50.74,50.8,50.92,50.92 | +| trade name | 27.32,27.37,27.44,27.32,27.16,27.15,27.32,27.22,27.21,27.36,27.32 | +| microwave | 70.96,72.0,72.18,72.17,72.57,72.75,72.85,73.1,73.3,73.26,73.34 | +| pot | 22.95,23.37,23.49,23.63,23.75,23.72,23.74,23.85,24.0,24.03,24.3 | +| animal | 53.1,53.37,53.52,53.57,53.57,53.62,53.67,53.67,53.64,53.69,53.75 | +| bicycle | 47.42,47.15,47.31,47.5,47.57,47.75,47.8,47.74,47.82,47.99,47.84 | +| lake | 55.81,55.89,56.12,56.12,56.23,56.38,56.49,56.49,56.53,56.56,56.5 | +| dishwasher | 58.57,59.45,59.63,59.56,59.35,59.5,59.39,59.24,59.19,58.63,58.12 | +| screen | 59.34,59.88,60.02,60.03,60.18,60.11,60.09,60.05,59.64,59.5,59.5 | +| blanket | 15.45,15.25,15.35,15.41,15.42,15.59,15.78,15.85,15.94,15.92,15.96 | +| sculpture | 53.65,55.12,54.88,54.61,54.79,54.67,54.49,54.24,53.7,53.13,52.49 | +| hood | 51.53,52.5,52.63,53.14,53.23,53.26,53.54,53.62,53.44,53.44,53.24 | +| sconce | 33.57,35.0,35.43,35.12,35.65,35.51,35.52,35.5,35.66,35.35,34.97 | +| vase | 18.35,19.6,19.52,19.47,19.36,19.48,19.14,19.23,18.94,18.97,18.76 | +| traffic light | 29.01,29.42,29.53,29.72,29.43,29.53,29.62,29.71,29.63,29.67,29.44 | +| tray | 5.26,5.21,5.22,5.3,5.36,5.21,5.3,5.36,5.24,5.13,5.11 | +| ashcan | 33.59,34.68,35.06,34.92,35.24,34.93,35.05,34.89,34.81,34.44,34.32 | +| fan | 50.85,51.69,51.77,52.16,52.12,51.72,51.92,51.84,52.02,51.55,51.39 | +| pier | 33.0,37.7,37.72,37.34,36.32,36.59,36.62,35.87,35.68,35.93,36.07 | +| crt screen | 2.92,3.98,3.79,3.73,3.5,3.41,3.33,3.4,3.39,3.73,4.2 | +| plate | 43.31,44.92,44.79,44.76,45.12,45.09,45.2,45.33,45.32,45.16,44.92 | +| monitor | 18.56,17.76,17.5,17.41,17.43,17.22,17.12,16.82,16.91,16.63,16.5 | +| bulletin board | 29.54,31.39,31.18,31.05,30.99,31.02,31.08,30.83,31.06,30.93,30.92 | +| shower | 0.68,0.4,0.37,0.42,0.37,0.43,0.5,0.48,0.55,0.58,0.64 | +| radiator | 54.19,53.07,53.71,53.88,54.57,54.86,55.4,55.45,55.87,55.95,56.02 | +| glass | 7.18,6.94,7.05,7.2,7.22,7.32,7.32,7.37,7.49,7.51,7.55 | +| clock | 30.78,30.69,31.16,31.44,31.28,31.41,31.02,31.77,31.41,31.59,31.67 | +| flag | 32.19,32.1,32.27,32.31,32.64,32.63,32.67,32.78,33.0,33.06,33.09 | ++---------------------+-------------------------------------------------------------------+ +2023-03-06 06:56:05,471 - mmseg - INFO - Summary: +2023-03-06 06:56:05,471 - mmseg - INFO - ++-------------------------------------------------------------------+ +| mIoU 0,10,20,30,40,50,60,70,80,90,99 | ++-------------------------------------------------------------------+ +| 44.33,44.75,44.79,44.82,44.82,44.83,44.82,44.81,44.81,44.76,44.67 | ++-------------------------------------------------------------------+ +2023-03-06 06:56:05,472 - mmseg - INFO - Exp name: ablation_segformer_mit_b2_segformer_head_unet_fc_small_multi_step_ade_pretrained_freeze_embed_160k_ade20k151_finetune_ema_ce.py +2023-03-06 06:56:05,472 - mmseg - INFO - Iter(val) [250] mIoU: [0.4433, 0.4475, 0.4479, 0.4482, 0.4482, 0.4483, 0.4482, 0.4481, 0.4481, 0.4476, 0.4467], copy_paste: 44.33,44.75,44.79,44.82,44.82,44.83,44.82,44.81,44.81,44.76,44.67 +2023-03-06 06:56:05,481 - mmseg - INFO - Swap parameters (before train) before iter [112001] +2023-03-06 06:56:15,904 - mmseg - INFO - Iter [112050/160000] lr: 4.687e-06, eta: 3:18:22, time: 13.256, data_time: 13.056, memory: 52540, decode.loss_ce: 0.0389, decode.acc_seg: 88.9972, decode.kl_loss: 0.0673, loss: 0.1062 +2023-03-06 06:56:26,220 - mmseg - INFO - Iter [112100/160000] lr: 4.687e-06, eta: 3:18:08, time: 0.206, data_time: 0.008, memory: 52540, decode.loss_ce: 0.0370, decode.acc_seg: 89.5634, decode.kl_loss: 0.0636, loss: 0.1006 +2023-03-06 06:56:36,297 - mmseg - INFO - Iter [112150/160000] lr: 4.687e-06, eta: 3:17:55, time: 0.202, data_time: 0.007, memory: 52540, decode.loss_ce: 0.0376, decode.acc_seg: 89.5529, decode.kl_loss: 0.0642, loss: 0.1017 +2023-03-06 06:56:46,353 - mmseg - INFO - Iter [112200/160000] lr: 4.687e-06, eta: 3:17:41, time: 0.201, data_time: 0.007, memory: 52540, decode.loss_ce: 0.0388, decode.acc_seg: 89.3111, decode.kl_loss: 0.0647, loss: 0.1036 +2023-03-06 06:56:56,631 - mmseg - INFO - Iter [112250/160000] lr: 4.687e-06, eta: 3:17:28, time: 0.206, data_time: 0.007, memory: 52540, decode.loss_ce: 0.0376, decode.acc_seg: 89.4701, decode.kl_loss: 0.0653, loss: 0.1029 +2023-03-06 06:57:06,592 - mmseg - INFO - Iter [112300/160000] lr: 4.687e-06, eta: 3:17:15, time: 0.199, data_time: 0.007, memory: 52540, decode.loss_ce: 0.0375, decode.acc_seg: 89.5325, decode.kl_loss: 0.0667, loss: 0.1042 +2023-03-06 06:57:19,094 - mmseg - INFO - Iter [112350/160000] lr: 4.687e-06, eta: 3:17:02, time: 0.250, data_time: 0.055, memory: 52540, decode.loss_ce: 0.0398, decode.acc_seg: 89.1573, decode.kl_loss: 0.0636, loss: 0.1034 +2023-03-06 06:57:29,133 - mmseg - INFO - Iter [112400/160000] lr: 4.687e-06, eta: 3:16:49, time: 0.201, data_time: 0.007, memory: 52540, decode.loss_ce: 0.0388, decode.acc_seg: 89.1191, decode.kl_loss: 0.0666, loss: 0.1055 +2023-03-06 06:57:39,424 - mmseg - INFO - Iter [112450/160000] lr: 4.687e-06, eta: 3:16:36, time: 0.206, data_time: 0.008, memory: 52540, decode.loss_ce: 0.0381, decode.acc_seg: 89.3461, decode.kl_loss: 0.0670, loss: 0.1052 +2023-03-06 06:57:49,449 - mmseg - INFO - Iter [112500/160000] lr: 4.687e-06, eta: 3:16:22, time: 0.200, data_time: 0.007, memory: 52540, decode.loss_ce: 0.0396, decode.acc_seg: 88.9959, decode.kl_loss: 0.0657, loss: 0.1053 +2023-03-06 06:57:59,415 - mmseg - INFO - Iter [112550/160000] lr: 4.687e-06, eta: 3:16:09, time: 0.199, data_time: 0.007, memory: 52540, decode.loss_ce: 0.0392, decode.acc_seg: 89.1342, decode.kl_loss: 0.0670, loss: 0.1063 +2023-03-06 06:58:09,648 - mmseg - INFO - Iter [112600/160000] lr: 4.687e-06, eta: 3:15:55, time: 0.205, data_time: 0.007, memory: 52540, decode.loss_ce: 0.0394, decode.acc_seg: 89.2645, decode.kl_loss: 0.0648, loss: 0.1042 +2023-03-06 06:58:19,658 - mmseg - INFO - Iter [112650/160000] lr: 4.687e-06, eta: 3:15:42, time: 0.200, data_time: 0.007, memory: 52540, decode.loss_ce: 0.0390, decode.acc_seg: 89.2071, decode.kl_loss: 0.0642, loss: 0.1031 +2023-03-06 06:58:29,851 - mmseg - INFO - Iter [112700/160000] lr: 4.687e-06, eta: 3:15:29, time: 0.204, data_time: 0.007, memory: 52540, decode.loss_ce: 0.0375, decode.acc_seg: 89.5838, decode.kl_loss: 0.0625, loss: 0.1000 +2023-03-06 06:58:39,779 - mmseg - INFO - Iter [112750/160000] lr: 4.687e-06, eta: 3:15:15, time: 0.199, data_time: 0.007, memory: 52540, decode.loss_ce: 0.0377, decode.acc_seg: 89.4878, decode.kl_loss: 0.0631, loss: 0.1008 +2023-03-06 06:58:49,718 - mmseg - INFO - Iter [112800/160000] lr: 4.687e-06, eta: 3:15:02, time: 0.199, data_time: 0.007, memory: 52540, decode.loss_ce: 0.0392, decode.acc_seg: 88.9569, decode.kl_loss: 0.0656, loss: 0.1049 +2023-03-06 06:58:59,697 - mmseg - INFO - Iter [112850/160000] lr: 4.687e-06, eta: 3:14:48, time: 0.200, data_time: 0.007, memory: 52540, decode.loss_ce: 0.0383, decode.acc_seg: 89.3214, decode.kl_loss: 0.0626, loss: 0.1009 +2023-03-06 06:59:09,781 - mmseg - INFO - Iter [112900/160000] lr: 4.687e-06, eta: 3:14:35, time: 0.202, data_time: 0.007, memory: 52540, decode.loss_ce: 0.0381, decode.acc_seg: 89.3771, decode.kl_loss: 0.0674, loss: 0.1055 +2023-03-06 06:59:22,453 - mmseg - INFO - Iter [112950/160000] lr: 4.687e-06, eta: 3:14:23, time: 0.253, data_time: 0.057, memory: 52540, decode.loss_ce: 0.0384, decode.acc_seg: 89.0861, decode.kl_loss: 0.0683, loss: 0.1067 +2023-03-06 06:59:32,471 - mmseg - INFO - Exp name: ablation_segformer_mit_b2_segformer_head_unet_fc_small_multi_step_ade_pretrained_freeze_embed_160k_ade20k151_finetune_ema_ce.py +2023-03-06 06:59:32,471 - mmseg - INFO - Iter [113000/160000] lr: 4.687e-06, eta: 3:14:09, time: 0.200, data_time: 0.007, memory: 52540, decode.loss_ce: 0.0406, decode.acc_seg: 88.7340, decode.kl_loss: 0.0651, loss: 0.1057 +2023-03-06 06:59:42,538 - mmseg - INFO - Iter [113050/160000] lr: 4.687e-06, eta: 3:13:56, time: 0.201, data_time: 0.007, memory: 52540, decode.loss_ce: 0.0383, decode.acc_seg: 89.2676, decode.kl_loss: 0.0628, loss: 0.1011 +2023-03-06 06:59:52,594 - mmseg - INFO - Iter [113100/160000] lr: 4.687e-06, eta: 3:13:43, time: 0.201, data_time: 0.007, memory: 52540, decode.loss_ce: 0.0386, decode.acc_seg: 89.2609, decode.kl_loss: 0.0642, loss: 0.1028 +2023-03-06 07:00:02,793 - mmseg - INFO - Iter [113150/160000] lr: 4.687e-06, eta: 3:13:29, time: 0.204, data_time: 0.007, memory: 52540, decode.loss_ce: 0.0382, decode.acc_seg: 89.3724, decode.kl_loss: 0.0641, loss: 0.1024 +2023-03-06 07:00:12,876 - mmseg - INFO - Iter [113200/160000] lr: 4.687e-06, eta: 3:13:16, time: 0.202, data_time: 0.007, memory: 52540, decode.loss_ce: 0.0396, decode.acc_seg: 88.7804, decode.kl_loss: 0.0659, loss: 0.1056 +2023-03-06 07:00:22,930 - mmseg - INFO - Iter [113250/160000] lr: 4.687e-06, eta: 3:13:03, time: 0.201, data_time: 0.007, memory: 52540, decode.loss_ce: 0.0412, decode.acc_seg: 88.5213, decode.kl_loss: 0.0677, loss: 0.1089 +2023-03-06 07:00:33,027 - mmseg - INFO - Iter [113300/160000] lr: 4.687e-06, eta: 3:12:49, time: 0.202, data_time: 0.007, memory: 52540, decode.loss_ce: 0.0388, decode.acc_seg: 89.1944, decode.kl_loss: 0.0629, loss: 0.1017 +2023-03-06 07:00:43,026 - mmseg - INFO - Iter [113350/160000] lr: 4.687e-06, eta: 3:12:36, time: 0.200, data_time: 0.007, memory: 52540, decode.loss_ce: 0.0403, decode.acc_seg: 88.7564, decode.kl_loss: 0.0647, loss: 0.1050 +2023-03-06 07:00:52,924 - mmseg - INFO - Iter [113400/160000] lr: 4.687e-06, eta: 3:12:23, time: 0.198, data_time: 0.007, memory: 52540, decode.loss_ce: 0.0405, decode.acc_seg: 88.7580, decode.kl_loss: 0.0630, loss: 0.1035 +2023-03-06 07:01:02,989 - mmseg - INFO - Iter [113450/160000] lr: 4.687e-06, eta: 3:12:09, time: 0.201, data_time: 0.007, memory: 52540, decode.loss_ce: 0.0394, decode.acc_seg: 89.0524, decode.kl_loss: 0.0619, loss: 0.1013 +2023-03-06 07:01:13,080 - mmseg - INFO - Iter [113500/160000] lr: 4.687e-06, eta: 3:11:56, time: 0.202, data_time: 0.007, memory: 52540, decode.loss_ce: 0.0384, decode.acc_seg: 89.2395, decode.kl_loss: 0.0605, loss: 0.0989 +2023-03-06 07:01:23,116 - mmseg - INFO - Iter [113550/160000] lr: 4.687e-06, eta: 3:11:43, time: 0.201, data_time: 0.007, memory: 52540, decode.loss_ce: 0.0380, decode.acc_seg: 89.5212, decode.kl_loss: 0.0597, loss: 0.0977 +2023-03-06 07:01:35,579 - mmseg - INFO - Iter [113600/160000] lr: 4.687e-06, eta: 3:11:30, time: 0.249, data_time: 0.057, memory: 52540, decode.loss_ce: 0.0373, decode.acc_seg: 89.4167, decode.kl_loss: 0.0604, loss: 0.0977 +2023-03-06 07:01:45,783 - mmseg - INFO - Iter [113650/160000] lr: 4.687e-06, eta: 3:11:17, time: 0.204, data_time: 0.007, memory: 52540, decode.loss_ce: 0.0416, decode.acc_seg: 88.8129, decode.kl_loss: 0.0627, loss: 0.1043 +2023-03-06 07:01:55,738 - mmseg - INFO - Iter [113700/160000] lr: 4.687e-06, eta: 3:11:04, time: 0.199, data_time: 0.007, memory: 52540, decode.loss_ce: 0.0388, decode.acc_seg: 89.1684, decode.kl_loss: 0.0620, loss: 0.1008 +2023-03-06 07:02:05,927 - mmseg - INFO - Iter [113750/160000] lr: 4.687e-06, eta: 3:10:50, time: 0.204, data_time: 0.007, memory: 52540, decode.loss_ce: 0.0382, decode.acc_seg: 89.3155, decode.kl_loss: 0.0597, loss: 0.0979 +2023-03-06 07:02:15,875 - mmseg - INFO - Iter [113800/160000] lr: 4.687e-06, eta: 3:10:37, time: 0.199, data_time: 0.007, memory: 52540, decode.loss_ce: 0.0387, decode.acc_seg: 89.2744, decode.kl_loss: 0.0610, loss: 0.0996 +2023-03-06 07:02:26,341 - mmseg - INFO - Iter [113850/160000] lr: 4.687e-06, eta: 3:10:24, time: 0.209, data_time: 0.007, memory: 52540, decode.loss_ce: 0.0390, decode.acc_seg: 89.1107, decode.kl_loss: 0.0606, loss: 0.0997 +2023-03-06 07:02:36,257 - mmseg - INFO - Iter [113900/160000] lr: 4.687e-06, eta: 3:10:10, time: 0.198, data_time: 0.007, memory: 52540, decode.loss_ce: 0.0418, decode.acc_seg: 88.3638, decode.kl_loss: 0.0657, loss: 0.1075 +2023-03-06 07:02:46,526 - mmseg - INFO - Iter [113950/160000] lr: 4.687e-06, eta: 3:09:57, time: 0.205, data_time: 0.007, memory: 52540, decode.loss_ce: 0.0406, decode.acc_seg: 88.7288, decode.kl_loss: 0.0658, loss: 0.1064 +2023-03-06 07:02:56,581 - mmseg - INFO - Exp name: ablation_segformer_mit_b2_segformer_head_unet_fc_small_multi_step_ade_pretrained_freeze_embed_160k_ade20k151_finetune_ema_ce.py +2023-03-06 07:02:56,581 - mmseg - INFO - Iter [114000/160000] lr: 4.687e-06, eta: 3:09:44, time: 0.201, data_time: 0.007, memory: 52540, decode.loss_ce: 0.0396, decode.acc_seg: 89.0936, decode.kl_loss: 0.0616, loss: 0.1012 +2023-03-06 07:03:06,726 - mmseg - INFO - Iter [114050/160000] lr: 4.687e-06, eta: 3:09:31, time: 0.203, data_time: 0.007, memory: 52540, decode.loss_ce: 0.0404, decode.acc_seg: 88.7333, decode.kl_loss: 0.0618, loss: 0.1022 +2023-03-06 07:03:16,650 - mmseg - INFO - Iter [114100/160000] lr: 4.687e-06, eta: 3:09:17, time: 0.198, data_time: 0.007, memory: 52540, decode.loss_ce: 0.0401, decode.acc_seg: 88.9230, decode.kl_loss: 0.0633, loss: 0.1034 +2023-03-06 07:03:26,629 - mmseg - INFO - Iter [114150/160000] lr: 4.687e-06, eta: 3:09:04, time: 0.200, data_time: 0.007, memory: 52540, decode.loss_ce: 0.0400, decode.acc_seg: 88.8905, decode.kl_loss: 0.0610, loss: 0.1010 +2023-03-06 07:03:36,593 - mmseg - INFO - Iter [114200/160000] lr: 4.687e-06, eta: 3:08:51, time: 0.199, data_time: 0.007, memory: 52540, decode.loss_ce: 0.0403, decode.acc_seg: 89.0041, decode.kl_loss: 0.0604, loss: 0.1007 +2023-03-06 07:03:49,289 - mmseg - INFO - Iter [114250/160000] lr: 4.687e-06, eta: 3:08:38, time: 0.254, data_time: 0.055, memory: 52540, decode.loss_ce: 0.0410, decode.acc_seg: 88.6840, decode.kl_loss: 0.0602, loss: 0.1012 +2023-03-06 07:03:59,353 - mmseg - INFO - Iter [114300/160000] lr: 4.687e-06, eta: 3:08:25, time: 0.201, data_time: 0.007, memory: 52540, decode.loss_ce: 0.0393, decode.acc_seg: 89.0817, decode.kl_loss: 0.0614, loss: 0.1007 +2023-03-06 07:04:09,517 - mmseg - INFO - Iter [114350/160000] lr: 4.687e-06, eta: 3:08:12, time: 0.203, data_time: 0.007, memory: 52540, decode.loss_ce: 0.0373, decode.acc_seg: 89.5105, decode.kl_loss: 0.0614, loss: 0.0988 +2023-03-06 07:04:19,676 - mmseg - INFO - Iter [114400/160000] lr: 4.687e-06, eta: 3:07:59, time: 0.203, data_time: 0.007, memory: 52540, decode.loss_ce: 0.0385, decode.acc_seg: 89.2302, decode.kl_loss: 0.0594, loss: 0.0980 +2023-03-06 07:04:29,827 - mmseg - INFO - Iter [114450/160000] lr: 4.687e-06, eta: 3:07:45, time: 0.203, data_time: 0.007, memory: 52540, decode.loss_ce: 0.0380, decode.acc_seg: 89.3377, decode.kl_loss: 0.0593, loss: 0.0973 +2023-03-06 07:04:39,745 - mmseg - INFO - Iter [114500/160000] lr: 4.687e-06, eta: 3:07:32, time: 0.198, data_time: 0.007, memory: 52540, decode.loss_ce: 0.0395, decode.acc_seg: 89.1311, decode.kl_loss: 0.0626, loss: 0.1021 +2023-03-06 07:04:49,644 - mmseg - INFO - Iter [114550/160000] lr: 4.687e-06, eta: 3:07:19, time: 0.198, data_time: 0.007, memory: 52540, decode.loss_ce: 0.0404, decode.acc_seg: 88.8477, decode.kl_loss: 0.0617, loss: 0.1021 +2023-03-06 07:04:59,817 - mmseg - INFO - Iter [114600/160000] lr: 4.687e-06, eta: 3:07:05, time: 0.203, data_time: 0.007, memory: 52540, decode.loss_ce: 0.0392, decode.acc_seg: 89.1814, decode.kl_loss: 0.0611, loss: 0.1003 +2023-03-06 07:05:10,022 - mmseg - INFO - Iter [114650/160000] lr: 4.687e-06, eta: 3:06:52, time: 0.204, data_time: 0.007, memory: 52540, decode.loss_ce: 0.0393, decode.acc_seg: 88.9933, decode.kl_loss: 0.0641, loss: 0.1034 +2023-03-06 07:05:20,194 - mmseg - INFO - Iter [114700/160000] lr: 4.687e-06, eta: 3:06:39, time: 0.203, data_time: 0.007, memory: 52540, decode.loss_ce: 0.0379, decode.acc_seg: 89.6905, decode.kl_loss: 0.0609, loss: 0.0989 +2023-03-06 07:05:30,319 - mmseg - INFO - Iter [114750/160000] lr: 4.687e-06, eta: 3:06:26, time: 0.202, data_time: 0.007, memory: 52540, decode.loss_ce: 0.0395, decode.acc_seg: 89.0489, decode.kl_loss: 0.0611, loss: 0.1005 +2023-03-06 07:05:40,326 - mmseg - INFO - Iter [114800/160000] lr: 4.687e-06, eta: 3:06:12, time: 0.200, data_time: 0.007, memory: 52540, decode.loss_ce: 0.0371, decode.acc_seg: 89.5075, decode.kl_loss: 0.0596, loss: 0.0967 +2023-03-06 07:05:52,848 - mmseg - INFO - Iter [114850/160000] lr: 4.687e-06, eta: 3:06:00, time: 0.250, data_time: 0.059, memory: 52540, decode.loss_ce: 0.0397, decode.acc_seg: 89.2292, decode.kl_loss: 0.0615, loss: 0.1012 +2023-03-06 07:06:03,217 - mmseg - INFO - Iter [114900/160000] lr: 4.687e-06, eta: 3:05:47, time: 0.207, data_time: 0.007, memory: 52540, decode.loss_ce: 0.0392, decode.acc_seg: 88.9765, decode.kl_loss: 0.0635, loss: 0.1027 +2023-03-06 07:06:13,155 - mmseg - INFO - Iter [114950/160000] lr: 4.687e-06, eta: 3:05:34, time: 0.199, data_time: 0.007, memory: 52540, decode.loss_ce: 0.0401, decode.acc_seg: 88.8450, decode.kl_loss: 0.0638, loss: 0.1039 +2023-03-06 07:06:23,866 - mmseg - INFO - Exp name: ablation_segformer_mit_b2_segformer_head_unet_fc_small_multi_step_ade_pretrained_freeze_embed_160k_ade20k151_finetune_ema_ce.py +2023-03-06 07:06:23,866 - mmseg - INFO - Iter [115000/160000] lr: 4.687e-06, eta: 3:05:21, time: 0.214, data_time: 0.007, memory: 52540, decode.loss_ce: 0.0392, decode.acc_seg: 89.2398, decode.kl_loss: 0.0627, loss: 0.1019 +2023-03-06 07:06:33,855 - mmseg - INFO - Iter [115050/160000] lr: 4.687e-06, eta: 3:05:07, time: 0.200, data_time: 0.007, memory: 52540, decode.loss_ce: 0.0372, decode.acc_seg: 89.6543, decode.kl_loss: 0.0619, loss: 0.0991 +2023-03-06 07:06:44,069 - mmseg - INFO - Iter [115100/160000] lr: 4.687e-06, eta: 3:04:54, time: 0.204, data_time: 0.007, memory: 52540, decode.loss_ce: 0.0376, decode.acc_seg: 89.3845, decode.kl_loss: 0.0658, loss: 0.1034 +2023-03-06 07:06:53,992 - mmseg - INFO - Iter [115150/160000] lr: 4.687e-06, eta: 3:04:41, time: 0.198, data_time: 0.007, memory: 52540, decode.loss_ce: 0.0365, decode.acc_seg: 89.7616, decode.kl_loss: 0.0655, loss: 0.1020 +2023-03-06 07:07:04,174 - mmseg - INFO - Iter [115200/160000] lr: 4.687e-06, eta: 3:04:28, time: 0.204, data_time: 0.007, memory: 52540, decode.loss_ce: 0.0392, decode.acc_seg: 89.0612, decode.kl_loss: 0.0682, loss: 0.1074 +2023-03-06 07:07:14,363 - mmseg - INFO - Iter [115250/160000] lr: 4.687e-06, eta: 3:04:14, time: 0.203, data_time: 0.007, memory: 52540, decode.loss_ce: 0.0384, decode.acc_seg: 89.3109, decode.kl_loss: 0.0665, loss: 0.1049 +2023-03-06 07:07:24,557 - mmseg - INFO - Iter [115300/160000] lr: 4.687e-06, eta: 3:04:01, time: 0.204, data_time: 0.007, memory: 52540, decode.loss_ce: 0.0395, decode.acc_seg: 89.3298, decode.kl_loss: 0.0627, loss: 0.1022 +2023-03-06 07:07:34,627 - mmseg - INFO - Iter [115350/160000] lr: 4.687e-06, eta: 3:03:48, time: 0.201, data_time: 0.007, memory: 52540, decode.loss_ce: 0.0386, decode.acc_seg: 89.1845, decode.kl_loss: 0.0683, loss: 0.1069 +2023-03-06 07:07:44,777 - mmseg - INFO - Iter [115400/160000] lr: 4.687e-06, eta: 3:03:35, time: 0.203, data_time: 0.007, memory: 52540, decode.loss_ce: 0.0387, decode.acc_seg: 89.4100, decode.kl_loss: 0.0658, loss: 0.1044 +2023-03-06 07:07:55,264 - mmseg - INFO - Iter [115450/160000] lr: 4.687e-06, eta: 3:03:22, time: 0.210, data_time: 0.008, memory: 52540, decode.loss_ce: 0.0390, decode.acc_seg: 89.0803, decode.kl_loss: 0.0661, loss: 0.1051 +2023-03-06 07:08:07,979 - mmseg - INFO - Iter [115500/160000] lr: 4.687e-06, eta: 3:03:10, time: 0.254, data_time: 0.053, memory: 52540, decode.loss_ce: 0.0408, decode.acc_seg: 88.8836, decode.kl_loss: 0.0680, loss: 0.1087 +2023-03-06 07:08:18,087 - mmseg - INFO - Iter [115550/160000] lr: 4.687e-06, eta: 3:02:56, time: 0.202, data_time: 0.007, memory: 52540, decode.loss_ce: 0.0384, decode.acc_seg: 89.2658, decode.kl_loss: 0.0672, loss: 0.1056 +2023-03-06 07:08:28,099 - mmseg - INFO - Iter [115600/160000] lr: 4.687e-06, eta: 3:02:43, time: 0.200, data_time: 0.007, memory: 52540, decode.loss_ce: 0.0387, decode.acc_seg: 89.3092, decode.kl_loss: 0.0650, loss: 0.1036 +2023-03-06 07:08:38,094 - mmseg - INFO - Iter [115650/160000] lr: 4.687e-06, eta: 3:02:30, time: 0.200, data_time: 0.007, memory: 52540, decode.loss_ce: 0.0387, decode.acc_seg: 89.1399, decode.kl_loss: 0.0651, loss: 0.1038 +2023-03-06 07:08:48,140 - mmseg - INFO - Iter [115700/160000] lr: 4.687e-06, eta: 3:02:17, time: 0.201, data_time: 0.007, memory: 52540, decode.loss_ce: 0.0399, decode.acc_seg: 88.9254, decode.kl_loss: 0.0653, loss: 0.1051 +2023-03-06 07:08:58,104 - mmseg - INFO - Iter [115750/160000] lr: 4.687e-06, eta: 3:02:03, time: 0.199, data_time: 0.007, memory: 52540, decode.loss_ce: 0.0388, decode.acc_seg: 89.1816, decode.kl_loss: 0.0644, loss: 0.1032 +2023-03-06 07:09:08,028 - mmseg - INFO - Iter [115800/160000] lr: 4.687e-06, eta: 3:01:50, time: 0.198, data_time: 0.007, memory: 52540, decode.loss_ce: 0.0386, decode.acc_seg: 89.3700, decode.kl_loss: 0.0609, loss: 0.0995 +2023-03-06 07:09:18,490 - mmseg - INFO - Iter [115850/160000] lr: 4.687e-06, eta: 3:01:37, time: 0.209, data_time: 0.007, memory: 52540, decode.loss_ce: 0.0392, decode.acc_seg: 89.2669, decode.kl_loss: 0.0621, loss: 0.1014 +2023-03-06 07:09:28,621 - mmseg - INFO - Iter [115900/160000] lr: 4.687e-06, eta: 3:01:24, time: 0.203, data_time: 0.007, memory: 52540, decode.loss_ce: 0.0403, decode.acc_seg: 89.1893, decode.kl_loss: 0.0593, loss: 0.0996 +2023-03-06 07:09:38,846 - mmseg - INFO - Iter [115950/160000] lr: 4.687e-06, eta: 3:01:11, time: 0.204, data_time: 0.007, memory: 52540, decode.loss_ce: 0.0391, decode.acc_seg: 89.0902, decode.kl_loss: 0.0624, loss: 0.1015 +2023-03-06 07:09:48,901 - mmseg - INFO - Exp name: ablation_segformer_mit_b2_segformer_head_unet_fc_small_multi_step_ade_pretrained_freeze_embed_160k_ade20k151_finetune_ema_ce.py +2023-03-06 07:09:48,901 - mmseg - INFO - Iter [116000/160000] lr: 4.687e-06, eta: 3:00:58, time: 0.201, data_time: 0.007, memory: 52540, decode.loss_ce: 0.0393, decode.acc_seg: 89.1194, decode.kl_loss: 0.0623, loss: 0.1016 +2023-03-06 07:09:58,947 - mmseg - INFO - Iter [116050/160000] lr: 4.687e-06, eta: 3:00:44, time: 0.201, data_time: 0.007, memory: 52540, decode.loss_ce: 0.0391, decode.acc_seg: 89.1610, decode.kl_loss: 0.0607, loss: 0.0997 +2023-03-06 07:10:08,987 - mmseg - INFO - Iter [116100/160000] lr: 4.687e-06, eta: 3:00:31, time: 0.201, data_time: 0.007, memory: 52540, decode.loss_ce: 0.0399, decode.acc_seg: 89.0760, decode.kl_loss: 0.0616, loss: 0.1016 +2023-03-06 07:10:21,573 - mmseg - INFO - Iter [116150/160000] lr: 4.687e-06, eta: 3:00:19, time: 0.252, data_time: 0.054, memory: 52540, decode.loss_ce: 0.0393, decode.acc_seg: 89.0295, decode.kl_loss: 0.0603, loss: 0.0996 +2023-03-06 07:10:31,546 - mmseg - INFO - Iter [116200/160000] lr: 4.687e-06, eta: 3:00:06, time: 0.199, data_time: 0.007, memory: 52540, decode.loss_ce: 0.0384, decode.acc_seg: 89.2798, decode.kl_loss: 0.0596, loss: 0.0980 +2023-03-06 07:10:41,750 - mmseg - INFO - Iter [116250/160000] lr: 4.687e-06, eta: 2:59:53, time: 0.204, data_time: 0.007, memory: 52540, decode.loss_ce: 0.0396, decode.acc_seg: 88.9287, decode.kl_loss: 0.0602, loss: 0.0997 +2023-03-06 07:10:52,392 - mmseg - INFO - Iter [116300/160000] lr: 4.687e-06, eta: 2:59:40, time: 0.213, data_time: 0.007, memory: 52540, decode.loss_ce: 0.0393, decode.acc_seg: 89.0554, decode.kl_loss: 0.0595, loss: 0.0988 +2023-03-06 07:11:02,836 - mmseg - INFO - Iter [116350/160000] lr: 4.687e-06, eta: 2:59:27, time: 0.209, data_time: 0.007, memory: 52540, decode.loss_ce: 0.0393, decode.acc_seg: 89.0513, decode.kl_loss: 0.0607, loss: 0.1001 +2023-03-06 07:11:12,977 - mmseg - INFO - Iter [116400/160000] lr: 4.687e-06, eta: 2:59:13, time: 0.203, data_time: 0.007, memory: 52540, decode.loss_ce: 0.0388, decode.acc_seg: 89.2303, decode.kl_loss: 0.0594, loss: 0.0982 +2023-03-06 07:11:23,059 - mmseg - INFO - Iter [116450/160000] lr: 4.687e-06, eta: 2:59:00, time: 0.202, data_time: 0.007, memory: 52540, decode.loss_ce: 0.0387, decode.acc_seg: 89.1871, decode.kl_loss: 0.0585, loss: 0.0973 +2023-03-06 07:11:33,145 - mmseg - INFO - Iter [116500/160000] lr: 4.687e-06, eta: 2:58:47, time: 0.202, data_time: 0.007, memory: 52540, decode.loss_ce: 0.0390, decode.acc_seg: 89.2865, decode.kl_loss: 0.0596, loss: 0.0986 +2023-03-06 07:11:43,344 - mmseg - INFO - Iter [116550/160000] lr: 4.687e-06, eta: 2:58:34, time: 0.204, data_time: 0.007, memory: 52540, decode.loss_ce: 0.0387, decode.acc_seg: 89.3414, decode.kl_loss: 0.0568, loss: 0.0955 +2023-03-06 07:11:53,324 - mmseg - INFO - Iter [116600/160000] lr: 4.687e-06, eta: 2:58:21, time: 0.200, data_time: 0.007, memory: 52540, decode.loss_ce: 0.0388, decode.acc_seg: 89.2225, decode.kl_loss: 0.0583, loss: 0.0971 +2023-03-06 07:12:03,519 - mmseg - INFO - Iter [116650/160000] lr: 4.687e-06, eta: 2:58:08, time: 0.204, data_time: 0.007, memory: 52540, decode.loss_ce: 0.0399, decode.acc_seg: 88.8879, decode.kl_loss: 0.0613, loss: 0.1012 +2023-03-06 07:12:13,678 - mmseg - INFO - Iter [116700/160000] lr: 4.687e-06, eta: 2:57:54, time: 0.203, data_time: 0.007, memory: 52540, decode.loss_ce: 0.0379, decode.acc_seg: 89.2900, decode.kl_loss: 0.0603, loss: 0.0982 +2023-03-06 07:12:26,403 - mmseg - INFO - Iter [116750/160000] lr: 4.687e-06, eta: 2:57:42, time: 0.254, data_time: 0.055, memory: 52540, decode.loss_ce: 0.0404, decode.acc_seg: 88.8515, decode.kl_loss: 0.0588, loss: 0.0992 +2023-03-06 07:12:36,448 - mmseg - INFO - Iter [116800/160000] lr: 4.687e-06, eta: 2:57:29, time: 0.201, data_time: 0.007, memory: 52540, decode.loss_ce: 0.0386, decode.acc_seg: 89.2739, decode.kl_loss: 0.0596, loss: 0.0982 +2023-03-06 07:12:46,739 - mmseg - INFO - Iter [116850/160000] lr: 4.687e-06, eta: 2:57:16, time: 0.206, data_time: 0.007, memory: 52540, decode.loss_ce: 0.0386, decode.acc_seg: 89.1824, decode.kl_loss: 0.0585, loss: 0.0971 +2023-03-06 07:12:56,703 - mmseg - INFO - Iter [116900/160000] lr: 4.687e-06, eta: 2:57:03, time: 0.199, data_time: 0.007, memory: 52540, decode.loss_ce: 0.0387, decode.acc_seg: 89.2312, decode.kl_loss: 0.0591, loss: 0.0978 +2023-03-06 07:13:06,756 - mmseg - INFO - Iter [116950/160000] lr: 4.687e-06, eta: 2:56:50, time: 0.201, data_time: 0.007, memory: 52540, decode.loss_ce: 0.0392, decode.acc_seg: 89.2597, decode.kl_loss: 0.0596, loss: 0.0988 +2023-03-06 07:13:17,140 - mmseg - INFO - Exp name: ablation_segformer_mit_b2_segformer_head_unet_fc_small_multi_step_ade_pretrained_freeze_embed_160k_ade20k151_finetune_ema_ce.py +2023-03-06 07:13:17,140 - mmseg - INFO - Iter [117000/160000] lr: 4.687e-06, eta: 2:56:37, time: 0.208, data_time: 0.008, memory: 52540, decode.loss_ce: 0.0390, decode.acc_seg: 89.1676, decode.kl_loss: 0.0591, loss: 0.0981 +2023-03-06 07:13:27,103 - mmseg - INFO - Iter [117050/160000] lr: 4.687e-06, eta: 2:56:23, time: 0.199, data_time: 0.007, memory: 52540, decode.loss_ce: 0.0380, decode.acc_seg: 89.3469, decode.kl_loss: 0.0593, loss: 0.0973 +2023-03-06 07:13:37,132 - mmseg - INFO - Iter [117100/160000] lr: 4.687e-06, eta: 2:56:10, time: 0.201, data_time: 0.007, memory: 52540, decode.loss_ce: 0.0406, decode.acc_seg: 88.8463, decode.kl_loss: 0.0617, loss: 0.1024 +2023-03-06 07:13:47,292 - mmseg - INFO - Iter [117150/160000] lr: 4.687e-06, eta: 2:55:57, time: 0.203, data_time: 0.007, memory: 52540, decode.loss_ce: 0.0393, decode.acc_seg: 89.0191, decode.kl_loss: 0.0601, loss: 0.0994 +2023-03-06 07:13:57,248 - mmseg - INFO - Iter [117200/160000] lr: 4.687e-06, eta: 2:55:44, time: 0.199, data_time: 0.007, memory: 52540, decode.loss_ce: 0.0407, decode.acc_seg: 88.7652, decode.kl_loss: 0.0611, loss: 0.1018 +2023-03-06 07:14:07,293 - mmseg - INFO - Iter [117250/160000] lr: 4.687e-06, eta: 2:55:31, time: 0.201, data_time: 0.007, memory: 52540, decode.loss_ce: 0.0376, decode.acc_seg: 89.4283, decode.kl_loss: 0.0592, loss: 0.0968 +2023-03-06 07:14:17,258 - mmseg - INFO - Iter [117300/160000] lr: 4.687e-06, eta: 2:55:18, time: 0.199, data_time: 0.007, memory: 52540, decode.loss_ce: 0.0389, decode.acc_seg: 89.1850, decode.kl_loss: 0.0591, loss: 0.0980 +2023-03-06 07:14:27,147 - mmseg - INFO - Iter [117350/160000] lr: 4.687e-06, eta: 2:55:04, time: 0.198, data_time: 0.007, memory: 52540, decode.loss_ce: 0.0383, decode.acc_seg: 89.2609, decode.kl_loss: 0.0590, loss: 0.0973 +2023-03-06 07:14:39,875 - mmseg - INFO - Iter [117400/160000] lr: 4.687e-06, eta: 2:54:52, time: 0.255, data_time: 0.054, memory: 52540, decode.loss_ce: 0.0392, decode.acc_seg: 89.1690, decode.kl_loss: 0.0604, loss: 0.0997 +2023-03-06 07:14:50,115 - mmseg - INFO - Iter [117450/160000] lr: 4.687e-06, eta: 2:54:39, time: 0.205, data_time: 0.007, memory: 52540, decode.loss_ce: 0.0383, decode.acc_seg: 89.3543, decode.kl_loss: 0.0597, loss: 0.0981 +2023-03-06 07:15:00,084 - mmseg - INFO - Iter [117500/160000] lr: 4.687e-06, eta: 2:54:26, time: 0.199, data_time: 0.007, memory: 52540, decode.loss_ce: 0.0386, decode.acc_seg: 89.2256, decode.kl_loss: 0.0589, loss: 0.0975 +2023-03-06 07:15:10,130 - mmseg - INFO - Iter [117550/160000] lr: 4.687e-06, eta: 2:54:13, time: 0.201, data_time: 0.007, memory: 52540, decode.loss_ce: 0.0397, decode.acc_seg: 88.8652, decode.kl_loss: 0.0627, loss: 0.1025 +2023-03-06 07:15:20,317 - mmseg - INFO - Iter [117600/160000] lr: 4.687e-06, eta: 2:54:00, time: 0.204, data_time: 0.007, memory: 52540, decode.loss_ce: 0.0395, decode.acc_seg: 89.2071, decode.kl_loss: 0.0591, loss: 0.0986 +2023-03-06 07:15:30,328 - mmseg - INFO - Iter [117650/160000] lr: 4.687e-06, eta: 2:53:47, time: 0.200, data_time: 0.007, memory: 52540, decode.loss_ce: 0.0383, decode.acc_seg: 89.3471, decode.kl_loss: 0.0596, loss: 0.0979 +2023-03-06 07:15:40,320 - mmseg - INFO - Iter [117700/160000] lr: 4.687e-06, eta: 2:53:34, time: 0.200, data_time: 0.007, memory: 52540, decode.loss_ce: 0.0386, decode.acc_seg: 89.1697, decode.kl_loss: 0.0602, loss: 0.0988 +2023-03-06 07:15:50,182 - mmseg - INFO - Iter [117750/160000] lr: 4.687e-06, eta: 2:53:20, time: 0.197, data_time: 0.007, memory: 52540, decode.loss_ce: 0.0380, decode.acc_seg: 89.2378, decode.kl_loss: 0.0614, loss: 0.0993 +2023-03-06 07:16:00,354 - mmseg - INFO - Iter [117800/160000] lr: 4.687e-06, eta: 2:53:07, time: 0.203, data_time: 0.007, memory: 52540, decode.loss_ce: 0.0393, decode.acc_seg: 89.1131, decode.kl_loss: 0.0616, loss: 0.1009 +2023-03-06 07:16:10,438 - mmseg - INFO - Iter [117850/160000] lr: 4.687e-06, eta: 2:52:54, time: 0.202, data_time: 0.007, memory: 52540, decode.loss_ce: 0.0382, decode.acc_seg: 89.3062, decode.kl_loss: 0.0616, loss: 0.0998 +2023-03-06 07:16:20,320 - mmseg - INFO - Iter [117900/160000] lr: 4.687e-06, eta: 2:52:41, time: 0.198, data_time: 0.007, memory: 52540, decode.loss_ce: 0.0384, decode.acc_seg: 89.2002, decode.kl_loss: 0.0624, loss: 0.1008 +2023-03-06 07:16:30,303 - mmseg - INFO - Iter [117950/160000] lr: 4.687e-06, eta: 2:52:28, time: 0.200, data_time: 0.007, memory: 52540, decode.loss_ce: 0.0402, decode.acc_seg: 89.0169, decode.kl_loss: 0.0604, loss: 0.1006 +2023-03-06 07:16:43,211 - mmseg - INFO - Exp name: ablation_segformer_mit_b2_segformer_head_unet_fc_small_multi_step_ade_pretrained_freeze_embed_160k_ade20k151_finetune_ema_ce.py +2023-03-06 07:16:43,211 - mmseg - INFO - Iter [118000/160000] lr: 4.687e-06, eta: 2:52:16, time: 0.258, data_time: 0.054, memory: 52540, decode.loss_ce: 0.0393, decode.acc_seg: 89.1290, decode.kl_loss: 0.0620, loss: 0.1013 +2023-03-06 07:16:53,425 - mmseg - INFO - Iter [118050/160000] lr: 4.687e-06, eta: 2:52:03, time: 0.204, data_time: 0.007, memory: 52540, decode.loss_ce: 0.0380, decode.acc_seg: 89.3402, decode.kl_loss: 0.0625, loss: 0.1006 +2023-03-06 07:17:03,479 - mmseg - INFO - Iter [118100/160000] lr: 4.687e-06, eta: 2:51:50, time: 0.201, data_time: 0.007, memory: 52540, decode.loss_ce: 0.0398, decode.acc_seg: 89.0503, decode.kl_loss: 0.0643, loss: 0.1041 +2023-03-06 07:17:13,563 - mmseg - INFO 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decode.loss_ce: 0.0407, decode.acc_seg: 89.1040, decode.kl_loss: 0.0660, loss: 0.1067 +2023-03-06 07:18:04,070 - mmseg - INFO - Iter [118400/160000] lr: 4.687e-06, eta: 2:50:31, time: 0.202, data_time: 0.007, memory: 52540, decode.loss_ce: 0.0403, decode.acc_seg: 88.7892, decode.kl_loss: 0.0684, loss: 0.1087 +2023-03-06 07:18:14,233 - mmseg - INFO - Iter [118450/160000] lr: 4.687e-06, eta: 2:50:18, time: 0.203, data_time: 0.007, memory: 52540, decode.loss_ce: 0.0380, decode.acc_seg: 89.1953, decode.kl_loss: 0.0657, loss: 0.1037 +2023-03-06 07:18:24,340 - mmseg - INFO - Iter [118500/160000] lr: 4.687e-06, eta: 2:50:05, time: 0.202, data_time: 0.007, memory: 52540, decode.loss_ce: 0.0394, decode.acc_seg: 89.1701, decode.kl_loss: 0.0612, loss: 0.1006 +2023-03-06 07:18:34,613 - mmseg - INFO - Iter [118550/160000] lr: 4.687e-06, eta: 2:49:52, time: 0.205, data_time: 0.007, memory: 52540, decode.loss_ce: 0.0376, decode.acc_seg: 89.2557, decode.kl_loss: 0.0598, loss: 0.0974 +2023-03-06 07:18:44,964 - mmseg - INFO - Iter [118600/160000] lr: 4.687e-06, eta: 2:49:39, time: 0.207, data_time: 0.007, memory: 52540, decode.loss_ce: 0.0378, decode.acc_seg: 89.3192, decode.kl_loss: 0.0607, loss: 0.0986 +2023-03-06 07:18:57,598 - mmseg - INFO - Iter [118650/160000] lr: 4.687e-06, eta: 2:49:27, time: 0.253, data_time: 0.054, memory: 52540, decode.loss_ce: 0.0390, decode.acc_seg: 89.1353, decode.kl_loss: 0.0617, loss: 0.1007 +2023-03-06 07:19:07,661 - mmseg - INFO - Iter [118700/160000] lr: 4.687e-06, eta: 2:49:14, time: 0.201, data_time: 0.007, memory: 52540, decode.loss_ce: 0.0402, decode.acc_seg: 88.8135, decode.kl_loss: 0.0630, loss: 0.1032 +2023-03-06 07:19:17,610 - mmseg - INFO - Iter [118750/160000] lr: 4.687e-06, eta: 2:49:01, time: 0.199, data_time: 0.008, memory: 52540, decode.loss_ce: 0.0396, decode.acc_seg: 89.0144, decode.kl_loss: 0.0623, loss: 0.1018 +2023-03-06 07:19:27,718 - mmseg - INFO - Iter [118800/160000] lr: 4.687e-06, eta: 2:48:48, time: 0.202, data_time: 0.007, memory: 52540, decode.loss_ce: 0.0379, decode.acc_seg: 89.1855, decode.kl_loss: 0.0622, loss: 0.1001 +2023-03-06 07:19:37,828 - mmseg - INFO - Iter [118850/160000] lr: 4.687e-06, eta: 2:48:35, time: 0.202, data_time: 0.007, memory: 52540, decode.loss_ce: 0.0398, decode.acc_seg: 88.9531, decode.kl_loss: 0.0601, loss: 0.0999 +2023-03-06 07:19:47,936 - mmseg - INFO - Iter [118900/160000] lr: 4.687e-06, eta: 2:48:22, time: 0.202, data_time: 0.007, memory: 52540, decode.loss_ce: 0.0395, decode.acc_seg: 89.0276, decode.kl_loss: 0.0612, loss: 0.1007 +2023-03-06 07:19:58,034 - mmseg - INFO - Iter [118950/160000] lr: 4.687e-06, eta: 2:48:09, time: 0.202, data_time: 0.007, memory: 52540, decode.loss_ce: 0.0371, decode.acc_seg: 89.5371, decode.kl_loss: 0.0594, loss: 0.0965 +2023-03-06 07:20:08,113 - mmseg - INFO - Exp name: ablation_segformer_mit_b2_segformer_head_unet_fc_small_multi_step_ade_pretrained_freeze_embed_160k_ade20k151_finetune_ema_ce.py +2023-03-06 07:20:08,113 - mmseg - INFO - Iter [119000/160000] lr: 4.687e-06, eta: 2:47:56, time: 0.202, data_time: 0.007, memory: 52540, decode.loss_ce: 0.0391, decode.acc_seg: 89.1518, decode.kl_loss: 0.0617, loss: 0.1009 +2023-03-06 07:20:18,240 - mmseg - INFO - Iter [119050/160000] lr: 4.687e-06, eta: 2:47:42, time: 0.203, data_time: 0.007, memory: 52540, decode.loss_ce: 0.0401, decode.acc_seg: 88.9068, decode.kl_loss: 0.0618, loss: 0.1019 +2023-03-06 07:20:28,354 - mmseg - INFO - Iter [119100/160000] lr: 4.687e-06, eta: 2:47:29, time: 0.202, data_time: 0.007, memory: 52540, decode.loss_ce: 0.0404, decode.acc_seg: 88.7829, decode.kl_loss: 0.0609, loss: 0.1013 +2023-03-06 07:20:38,311 - mmseg - INFO - Iter [119150/160000] lr: 4.687e-06, eta: 2:47:16, time: 0.199, data_time: 0.007, memory: 52540, decode.loss_ce: 0.0402, decode.acc_seg: 88.8193, decode.kl_loss: 0.0598, loss: 0.1000 +2023-03-06 07:20:48,707 - mmseg - INFO - Iter [119200/160000] lr: 4.687e-06, eta: 2:47:03, time: 0.208, data_time: 0.008, memory: 52540, decode.loss_ce: 0.0389, decode.acc_seg: 89.0619, decode.kl_loss: 0.0628, loss: 0.1016 +2023-03-06 07:20:58,805 - mmseg - INFO - Iter [119250/160000] lr: 4.687e-06, eta: 2:46:50, time: 0.202, data_time: 0.007, memory: 52540, decode.loss_ce: 0.0402, decode.acc_seg: 88.8224, decode.kl_loss: 0.0663, loss: 0.1065 +2023-03-06 07:21:11,327 - mmseg - INFO - Iter [119300/160000] lr: 4.687e-06, eta: 2:46:38, time: 0.250, data_time: 0.053, memory: 52540, decode.loss_ce: 0.0405, decode.acc_seg: 88.6794, decode.kl_loss: 0.0686, loss: 0.1091 +2023-03-06 07:21:21,912 - mmseg - INFO - Iter [119350/160000] lr: 4.687e-06, eta: 2:46:25, time: 0.212, data_time: 0.007, memory: 52540, decode.loss_ce: 0.0393, decode.acc_seg: 89.1282, decode.kl_loss: 0.0676, loss: 0.1069 +2023-03-06 07:21:31,981 - mmseg - INFO - Iter [119400/160000] lr: 4.687e-06, eta: 2:46:12, time: 0.201, data_time: 0.007, memory: 52540, decode.loss_ce: 0.0382, decode.acc_seg: 89.0395, decode.kl_loss: 0.0702, loss: 0.1083 +2023-03-06 07:21:42,083 - mmseg - INFO - Iter [119450/160000] lr: 4.687e-06, eta: 2:45:59, time: 0.202, data_time: 0.007, memory: 52540, decode.loss_ce: 0.0419, decode.acc_seg: 88.6286, decode.kl_loss: 0.0675, loss: 0.1094 +2023-03-06 07:21:52,146 - mmseg - INFO - Iter [119500/160000] lr: 4.687e-06, eta: 2:45:46, time: 0.201, data_time: 0.007, memory: 52540, decode.loss_ce: 0.0389, decode.acc_seg: 89.0990, decode.kl_loss: 0.0689, loss: 0.1078 +2023-03-06 07:22:02,104 - mmseg - INFO - Iter [119550/160000] lr: 4.687e-06, eta: 2:45:33, time: 0.199, data_time: 0.007, memory: 52540, decode.loss_ce: 0.0380, decode.acc_seg: 89.0639, decode.kl_loss: 0.0691, loss: 0.1071 +2023-03-06 07:22:12,253 - mmseg - INFO - Iter [119600/160000] lr: 4.687e-06, eta: 2:45:20, time: 0.203, data_time: 0.007, memory: 52540, decode.loss_ce: 0.0404, decode.acc_seg: 88.8031, decode.kl_loss: 0.0690, loss: 0.1095 +2023-03-06 07:22:22,364 - mmseg - INFO - Iter [119650/160000] lr: 4.687e-06, eta: 2:45:07, time: 0.202, data_time: 0.007, memory: 52540, decode.loss_ce: 0.0395, decode.acc_seg: 88.9973, decode.kl_loss: 0.0683, loss: 0.1079 +2023-03-06 07:22:32,566 - mmseg - INFO - Iter [119700/160000] lr: 4.687e-06, eta: 2:44:54, time: 0.204, data_time: 0.007, memory: 52540, decode.loss_ce: 0.0397, decode.acc_seg: 88.9760, decode.kl_loss: 0.0669, loss: 0.1066 +2023-03-06 07:22:42,634 - mmseg - INFO - Iter [119750/160000] lr: 4.687e-06, eta: 2:44:41, time: 0.201, data_time: 0.007, memory: 52540, decode.loss_ce: 0.0399, decode.acc_seg: 88.9451, decode.kl_loss: 0.0641, loss: 0.1040 +2023-03-06 07:22:52,593 - mmseg - INFO - Iter [119800/160000] lr: 4.687e-06, eta: 2:44:28, time: 0.199, data_time: 0.007, memory: 52540, decode.loss_ce: 0.0386, decode.acc_seg: 89.0502, decode.kl_loss: 0.0635, loss: 0.1020 +2023-03-06 07:23:02,563 - mmseg - INFO - Iter [119850/160000] lr: 4.687e-06, eta: 2:44:15, time: 0.199, data_time: 0.007, memory: 52540, decode.loss_ce: 0.0387, decode.acc_seg: 89.1226, decode.kl_loss: 0.0642, loss: 0.1028 +2023-03-06 07:23:15,122 - mmseg - INFO - Iter [119900/160000] lr: 4.687e-06, eta: 2:44:03, time: 0.251, data_time: 0.057, memory: 52540, decode.loss_ce: 0.0416, decode.acc_seg: 88.6505, decode.kl_loss: 0.0661, loss: 0.1077 +2023-03-06 07:23:25,333 - mmseg - INFO - Iter [119950/160000] lr: 4.687e-06, eta: 2:43:50, time: 0.204, data_time: 0.007, memory: 52540, decode.loss_ce: 0.0401, decode.acc_seg: 88.8617, decode.kl_loss: 0.0650, loss: 0.1051 +2023-03-06 07:23:35,437 - mmseg - INFO - Exp name: ablation_segformer_mit_b2_segformer_head_unet_fc_small_multi_step_ade_pretrained_freeze_embed_160k_ade20k151_finetune_ema_ce.py +2023-03-06 07:23:35,437 - mmseg - INFO - Iter [120000/160000] lr: 4.687e-06, eta: 2:43:37, time: 0.202, data_time: 0.008, memory: 52540, decode.loss_ce: 0.0410, decode.acc_seg: 88.6583, decode.kl_loss: 0.0653, loss: 0.1063 +2023-03-06 07:23:45,553 - mmseg - INFO - Iter [120050/160000] lr: 2.344e-06, eta: 2:43:24, time: 0.202, data_time: 0.007, memory: 52540, decode.loss_ce: 0.0409, decode.acc_seg: 88.5221, decode.kl_loss: 0.0667, loss: 0.1075 +2023-03-06 07:23:55,771 - mmseg - INFO - Iter [120100/160000] lr: 2.344e-06, eta: 2:43:11, time: 0.204, data_time: 0.008, memory: 52540, decode.loss_ce: 0.0407, decode.acc_seg: 88.7596, decode.kl_loss: 0.0660, loss: 0.1068 +2023-03-06 07:24:06,019 - mmseg - INFO - Iter [120150/160000] lr: 2.344e-06, eta: 2:42:58, time: 0.205, data_time: 0.007, memory: 52540, decode.loss_ce: 0.0391, decode.acc_seg: 89.1401, decode.kl_loss: 0.0660, loss: 0.1051 +2023-03-06 07:24:16,023 - mmseg - INFO - Iter [120200/160000] lr: 2.344e-06, eta: 2:42:45, time: 0.200, data_time: 0.007, memory: 52540, decode.loss_ce: 0.0385, decode.acc_seg: 89.1005, decode.kl_loss: 0.0653, loss: 0.1038 +2023-03-06 07:24:26,139 - mmseg - INFO - Iter [120250/160000] lr: 2.344e-06, eta: 2:42:32, time: 0.202, data_time: 0.007, memory: 52540, decode.loss_ce: 0.0384, decode.acc_seg: 89.2165, decode.kl_loss: 0.0665, loss: 0.1049 +2023-03-06 07:24:36,330 - mmseg - INFO - Iter [120300/160000] lr: 2.344e-06, eta: 2:42:19, time: 0.204, data_time: 0.007, memory: 52540, decode.loss_ce: 0.0407, decode.acc_seg: 88.6541, decode.kl_loss: 0.0656, loss: 0.1062 +2023-03-06 07:24:46,471 - mmseg - INFO - Iter [120350/160000] lr: 2.344e-06, eta: 2:42:06, time: 0.203, data_time: 0.007, memory: 52540, decode.loss_ce: 0.0377, decode.acc_seg: 89.3619, decode.kl_loss: 0.0645, loss: 0.1022 +2023-03-06 07:24:56,487 - mmseg - INFO - Iter [120400/160000] lr: 2.344e-06, eta: 2:41:53, time: 0.200, data_time: 0.007, memory: 52540, decode.loss_ce: 0.0402, decode.acc_seg: 88.8751, decode.kl_loss: 0.0670, loss: 0.1071 +2023-03-06 07:25:06,452 - mmseg - INFO - Iter [120450/160000] lr: 2.344e-06, eta: 2:41:40, time: 0.199, data_time: 0.007, memory: 52540, decode.loss_ce: 0.0403, decode.acc_seg: 88.6007, decode.kl_loss: 0.0694, loss: 0.1097 +2023-03-06 07:25:16,618 - mmseg - INFO - Iter [120500/160000] lr: 2.344e-06, eta: 2:41:27, time: 0.203, data_time: 0.007, memory: 52540, decode.loss_ce: 0.0397, decode.acc_seg: 88.9938, decode.kl_loss: 0.0686, loss: 0.1083 +2023-03-06 07:25:29,299 - mmseg - INFO - Iter [120550/160000] lr: 2.344e-06, eta: 2:41:15, time: 0.254, data_time: 0.054, memory: 52540, decode.loss_ce: 0.0382, decode.acc_seg: 89.2751, decode.kl_loss: 0.0675, loss: 0.1057 +2023-03-06 07:25:39,442 - mmseg - INFO - Iter [120600/160000] lr: 2.344e-06, eta: 2:41:02, time: 0.203, data_time: 0.007, memory: 52540, decode.loss_ce: 0.0393, decode.acc_seg: 89.0679, decode.kl_loss: 0.0704, loss: 0.1098 +2023-03-06 07:25:49,382 - mmseg - INFO - Iter [120650/160000] lr: 2.344e-06, eta: 2:40:49, time: 0.199, data_time: 0.007, memory: 52540, decode.loss_ce: 0.0387, decode.acc_seg: 89.2064, decode.kl_loss: 0.0679, loss: 0.1065 +2023-03-06 07:25:59,324 - mmseg - INFO - Iter [120700/160000] lr: 2.344e-06, eta: 2:40:36, time: 0.199, data_time: 0.007, memory: 52540, decode.loss_ce: 0.0414, decode.acc_seg: 88.4720, decode.kl_loss: 0.0703, loss: 0.1117 +2023-03-06 07:26:09,548 - mmseg - INFO - Iter [120750/160000] lr: 2.344e-06, eta: 2:40:23, time: 0.204, data_time: 0.007, memory: 52540, decode.loss_ce: 0.0396, decode.acc_seg: 89.0312, decode.kl_loss: 0.0690, loss: 0.1086 +2023-03-06 07:26:19,492 - mmseg - INFO - Iter [120800/160000] lr: 2.344e-06, eta: 2:40:10, time: 0.199, data_time: 0.007, memory: 52540, decode.loss_ce: 0.0400, decode.acc_seg: 88.8780, decode.kl_loss: 0.0698, loss: 0.1099 +2023-03-06 07:26:29,543 - mmseg - INFO - Iter [120850/160000] lr: 2.344e-06, eta: 2:39:57, time: 0.201, data_time: 0.007, memory: 52540, decode.loss_ce: 0.0390, decode.acc_seg: 89.1051, decode.kl_loss: 0.0695, loss: 0.1085 +2023-03-06 07:26:39,477 - mmseg - INFO - Iter [120900/160000] lr: 2.344e-06, eta: 2:39:44, time: 0.199, data_time: 0.007, memory: 52540, decode.loss_ce: 0.0390, decode.acc_seg: 88.9798, decode.kl_loss: 0.0712, loss: 0.1102 +2023-03-06 07:26:49,452 - mmseg - INFO - Iter [120950/160000] lr: 2.344e-06, eta: 2:39:31, time: 0.199, data_time: 0.007, memory: 52540, decode.loss_ce: 0.0391, decode.acc_seg: 89.1853, decode.kl_loss: 0.0657, loss: 0.1048 +2023-03-06 07:26:59,502 - mmseg - INFO - Exp name: ablation_segformer_mit_b2_segformer_head_unet_fc_small_multi_step_ade_pretrained_freeze_embed_160k_ade20k151_finetune_ema_ce.py +2023-03-06 07:26:59,502 - mmseg - INFO - Iter [121000/160000] lr: 2.344e-06, eta: 2:39:18, time: 0.201, data_time: 0.007, memory: 52540, decode.loss_ce: 0.0389, decode.acc_seg: 89.2560, decode.kl_loss: 0.0681, loss: 0.1070 +2023-03-06 07:27:09,540 - mmseg - INFO - Iter [121050/160000] lr: 2.344e-06, eta: 2:39:05, time: 0.201, data_time: 0.007, memory: 52540, decode.loss_ce: 0.0407, decode.acc_seg: 88.7714, decode.kl_loss: 0.0702, loss: 0.1109 +2023-03-06 07:27:19,946 - mmseg - INFO - Iter [121100/160000] lr: 2.344e-06, eta: 2:38:52, time: 0.208, data_time: 0.007, memory: 52540, decode.loss_ce: 0.0405, decode.acc_seg: 88.6304, decode.kl_loss: 0.0713, loss: 0.1118 +2023-03-06 07:27:30,226 - mmseg - INFO - Iter [121150/160000] lr: 2.344e-06, eta: 2:38:39, time: 0.206, data_time: 0.007, memory: 52540, decode.loss_ce: 0.0397, decode.acc_seg: 88.8749, decode.kl_loss: 0.0700, loss: 0.1098 +2023-03-06 07:27:42,921 - mmseg - INFO - Iter [121200/160000] lr: 2.344e-06, eta: 2:38:27, time: 0.254, data_time: 0.055, memory: 52540, decode.loss_ce: 0.0391, decode.acc_seg: 89.1082, decode.kl_loss: 0.0670, loss: 0.1062 +2023-03-06 07:27:52,936 - mmseg - INFO - Iter [121250/160000] lr: 2.344e-06, eta: 2:38:14, time: 0.200, data_time: 0.007, memory: 52540, decode.loss_ce: 0.0396, decode.acc_seg: 88.9167, decode.kl_loss: 0.0674, loss: 0.1070 +2023-03-06 07:28:03,165 - mmseg - INFO - Iter [121300/160000] lr: 2.344e-06, eta: 2:38:01, time: 0.205, data_time: 0.007, memory: 52540, decode.loss_ce: 0.0387, decode.acc_seg: 89.0911, decode.kl_loss: 0.0707, loss: 0.1094 +2023-03-06 07:28:13,352 - mmseg - INFO - Iter [121350/160000] lr: 2.344e-06, eta: 2:37:49, time: 0.204, data_time: 0.007, memory: 52540, decode.loss_ce: 0.0392, decode.acc_seg: 89.0129, decode.kl_loss: 0.0677, loss: 0.1069 +2023-03-06 07:28:23,286 - mmseg - INFO - Iter [121400/160000] lr: 2.344e-06, eta: 2:37:36, time: 0.199, data_time: 0.007, memory: 52540, decode.loss_ce: 0.0395, decode.acc_seg: 88.9716, decode.kl_loss: 0.0678, loss: 0.1073 +2023-03-06 07:28:33,666 - mmseg - INFO - Iter [121450/160000] lr: 2.344e-06, eta: 2:37:23, time: 0.208, data_time: 0.007, memory: 52540, decode.loss_ce: 0.0398, decode.acc_seg: 89.0007, decode.kl_loss: 0.0686, loss: 0.1084 +2023-03-06 07:28:44,190 - mmseg - INFO - Iter [121500/160000] lr: 2.344e-06, eta: 2:37:10, time: 0.210, data_time: 0.007, memory: 52540, decode.loss_ce: 0.0407, decode.acc_seg: 88.7874, decode.kl_loss: 0.0697, loss: 0.1104 +2023-03-06 07:28:54,122 - mmseg - INFO - Iter [121550/160000] lr: 2.344e-06, eta: 2:36:57, time: 0.199, data_time: 0.007, memory: 52540, decode.loss_ce: 0.0405, decode.acc_seg: 88.7474, decode.kl_loss: 0.0686, loss: 0.1091 +2023-03-06 07:29:04,098 - mmseg - INFO - Iter [121600/160000] lr: 2.344e-06, eta: 2:36:44, time: 0.200, data_time: 0.007, memory: 52540, decode.loss_ce: 0.0398, decode.acc_seg: 88.9630, decode.kl_loss: 0.0665, loss: 0.1064 +2023-03-06 07:29:14,077 - mmseg - INFO - Iter [121650/160000] lr: 2.344e-06, eta: 2:36:31, time: 0.200, data_time: 0.007, memory: 52540, decode.loss_ce: 0.0399, decode.acc_seg: 88.8618, decode.kl_loss: 0.0693, loss: 0.1093 +2023-03-06 07:29:24,047 - mmseg - INFO - Iter [121700/160000] lr: 2.344e-06, eta: 2:36:18, time: 0.199, data_time: 0.007, memory: 52540, decode.loss_ce: 0.0395, decode.acc_seg: 88.8507, decode.kl_loss: 0.0677, loss: 0.1072 +2023-03-06 07:29:34,565 - mmseg - INFO - Iter [121750/160000] lr: 2.344e-06, eta: 2:36:05, time: 0.210, data_time: 0.008, memory: 52540, decode.loss_ce: 0.0404, decode.acc_seg: 88.6232, decode.kl_loss: 0.0686, loss: 0.1090 +2023-03-06 07:29:47,135 - mmseg - INFO - Iter [121800/160000] lr: 2.344e-06, eta: 2:35:53, time: 0.251, data_time: 0.054, memory: 52540, decode.loss_ce: 0.0397, decode.acc_seg: 88.8861, decode.kl_loss: 0.0684, loss: 0.1081 +2023-03-06 07:29:57,245 - mmseg - INFO - Iter [121850/160000] lr: 2.344e-06, eta: 2:35:40, time: 0.202, data_time: 0.007, memory: 52540, decode.loss_ce: 0.0397, decode.acc_seg: 88.7861, decode.kl_loss: 0.0670, loss: 0.1067 +2023-03-06 07:30:07,300 - mmseg - INFO - Iter [121900/160000] lr: 2.344e-06, eta: 2:35:27, time: 0.201, data_time: 0.007, memory: 52540, decode.loss_ce: 0.0412, decode.acc_seg: 88.6001, decode.kl_loss: 0.0679, loss: 0.1090 +2023-03-06 07:30:17,423 - mmseg - INFO - Iter [121950/160000] lr: 2.344e-06, eta: 2:35:14, time: 0.202, data_time: 0.007, memory: 52540, decode.loss_ce: 0.0396, decode.acc_seg: 88.9776, decode.kl_loss: 0.0697, loss: 0.1094 +2023-03-06 07:30:27,334 - mmseg - INFO - Exp name: ablation_segformer_mit_b2_segformer_head_unet_fc_small_multi_step_ade_pretrained_freeze_embed_160k_ade20k151_finetune_ema_ce.py +2023-03-06 07:30:27,334 - mmseg - INFO - Iter [122000/160000] lr: 2.344e-06, eta: 2:35:01, time: 0.198, data_time: 0.007, memory: 52540, decode.loss_ce: 0.0412, decode.acc_seg: 88.3908, decode.kl_loss: 0.0710, loss: 0.1122 +2023-03-06 07:30:37,578 - mmseg - INFO - Iter [122050/160000] lr: 2.344e-06, eta: 2:34:49, time: 0.205, data_time: 0.007, memory: 52540, decode.loss_ce: 0.0432, decode.acc_seg: 87.9553, decode.kl_loss: 0.0724, loss: 0.1156 +2023-03-06 07:30:47,634 - mmseg - INFO - Iter [122100/160000] lr: 2.344e-06, eta: 2:34:36, time: 0.201, data_time: 0.007, memory: 52540, decode.loss_ce: 0.0466, decode.acc_seg: 86.8828, decode.kl_loss: 0.0780, loss: 0.1246 +2023-03-06 07:30:57,742 - mmseg - INFO - Iter [122150/160000] lr: 2.344e-06, eta: 2:34:23, time: 0.202, data_time: 0.007, memory: 52540, decode.loss_ce: 0.0468, decode.acc_seg: 86.8438, decode.kl_loss: 0.0788, loss: 0.1256 +2023-03-06 07:31:08,116 - mmseg - INFO - Iter [122200/160000] lr: 2.344e-06, eta: 2:34:10, time: 0.207, data_time: 0.007, memory: 52540, decode.loss_ce: 0.0482, decode.acc_seg: 86.4418, decode.kl_loss: 0.0815, loss: 0.1297 +2023-03-06 07:31:18,276 - mmseg - INFO - Iter [122250/160000] lr: 2.344e-06, eta: 2:33:57, time: 0.203, data_time: 0.007, memory: 52540, decode.loss_ce: 0.0472, decode.acc_seg: 86.6533, decode.kl_loss: 0.0798, loss: 0.1270 +2023-03-06 07:31:28,599 - mmseg - INFO - Iter [122300/160000] lr: 2.344e-06, eta: 2:33:44, time: 0.206, data_time: 0.008, memory: 52540, decode.loss_ce: 0.0481, decode.acc_seg: 86.4782, decode.kl_loss: 0.0822, loss: 0.1302 +2023-03-06 07:31:38,591 - mmseg - INFO - Iter [122350/160000] lr: 2.344e-06, eta: 2:33:31, time: 0.200, data_time: 0.007, memory: 52540, decode.loss_ce: 0.0454, decode.acc_seg: 87.0710, decode.kl_loss: 0.0807, loss: 0.1261 +2023-03-06 07:31:48,692 - mmseg - INFO - Iter [122400/160000] lr: 2.344e-06, eta: 2:33:18, time: 0.202, data_time: 0.007, memory: 52540, decode.loss_ce: 0.0446, decode.acc_seg: 87.5331, decode.kl_loss: 0.0808, loss: 0.1254 +2023-03-06 07:32:01,804 - mmseg - INFO - Iter [122450/160000] lr: 2.344e-06, eta: 2:33:06, time: 0.262, data_time: 0.054, memory: 52540, decode.loss_ce: 0.0447, decode.acc_seg: 87.3338, decode.kl_loss: 0.0811, loss: 0.1258 +2023-03-06 07:32:11,817 - mmseg - INFO - Iter [122500/160000] lr: 2.344e-06, eta: 2:32:54, time: 0.200, data_time: 0.007, memory: 52540, decode.loss_ce: 0.0456, decode.acc_seg: 87.0159, decode.kl_loss: 0.0886, loss: 0.1343 +2023-03-06 07:32:21,904 - mmseg - INFO - Iter [122550/160000] lr: 2.344e-06, eta: 2:32:41, time: 0.202, data_time: 0.007, memory: 52540, decode.loss_ce: 0.0468, decode.acc_seg: 86.8509, decode.kl_loss: 0.0839, loss: 0.1307 +2023-03-06 07:32:32,043 - mmseg - INFO - Iter [122600/160000] lr: 2.344e-06, eta: 2:32:28, time: 0.203, data_time: 0.007, memory: 52540, decode.loss_ce: 0.0450, decode.acc_seg: 87.4014, decode.kl_loss: 0.0792, loss: 0.1242 +2023-03-06 07:32:42,266 - mmseg - INFO - Iter [122650/160000] lr: 2.344e-06, eta: 2:32:15, time: 0.205, data_time: 0.007, memory: 52540, decode.loss_ce: 0.0461, decode.acc_seg: 87.0110, decode.kl_loss: 0.0818, loss: 0.1279 +2023-03-06 07:32:52,354 - mmseg - INFO - Iter [122700/160000] lr: 2.344e-06, eta: 2:32:02, time: 0.202, data_time: 0.007, memory: 52540, decode.loss_ce: 0.0454, decode.acc_seg: 87.3664, decode.kl_loss: 0.0769, loss: 0.1224 +2023-03-06 07:33:02,439 - mmseg - INFO - Iter [122750/160000] lr: 2.344e-06, eta: 2:31:49, time: 0.202, data_time: 0.007, memory: 52540, decode.loss_ce: 0.0449, decode.acc_seg: 87.6024, decode.kl_loss: 0.0760, loss: 0.1209 +2023-03-06 07:33:12,479 - mmseg - INFO - Iter [122800/160000] lr: 2.344e-06, eta: 2:31:36, time: 0.201, data_time: 0.007, memory: 52540, decode.loss_ce: 0.0451, decode.acc_seg: 87.6997, decode.kl_loss: 0.0744, loss: 0.1196 +2023-03-06 07:33:22,455 - mmseg - INFO - Iter [122850/160000] lr: 2.344e-06, eta: 2:31:23, time: 0.200, data_time: 0.007, memory: 52540, decode.loss_ce: 0.0432, decode.acc_seg: 88.0800, decode.kl_loss: 0.0705, loss: 0.1137 +2023-03-06 07:33:32,624 - mmseg - INFO - Iter [122900/160000] lr: 2.344e-06, eta: 2:31:11, time: 0.203, data_time: 0.007, memory: 52540, decode.loss_ce: 0.0446, decode.acc_seg: 87.5632, decode.kl_loss: 0.0755, loss: 0.1201 +2023-03-06 07:33:42,658 - mmseg - INFO - Iter [122950/160000] lr: 2.344e-06, eta: 2:30:58, time: 0.201, data_time: 0.007, memory: 52540, decode.loss_ce: 0.0454, decode.acc_seg: 87.4875, decode.kl_loss: 0.0756, loss: 0.1210 +2023-03-06 07:33:53,311 - mmseg - INFO - Exp name: ablation_segformer_mit_b2_segformer_head_unet_fc_small_multi_step_ade_pretrained_freeze_embed_160k_ade20k151_finetune_ema_ce.py +2023-03-06 07:33:53,311 - mmseg - INFO - Iter [123000/160000] lr: 2.344e-06, eta: 2:30:45, time: 0.213, data_time: 0.007, memory: 52540, decode.loss_ce: 0.0458, decode.acc_seg: 87.3247, decode.kl_loss: 0.0748, loss: 0.1206 +2023-03-06 07:34:05,791 - mmseg - INFO - Iter [123050/160000] lr: 2.344e-06, eta: 2:30:33, time: 0.250, data_time: 0.058, memory: 52540, decode.loss_ce: 0.0444, decode.acc_seg: 87.6377, decode.kl_loss: 0.0748, loss: 0.1192 +2023-03-06 07:34:15,793 - mmseg - INFO - Iter [123100/160000] lr: 2.344e-06, eta: 2:30:20, time: 0.200, data_time: 0.007, memory: 52540, decode.loss_ce: 0.0533, decode.acc_seg: 85.0638, decode.kl_loss: 0.0815, loss: 0.1347 +2023-03-06 07:34:25,772 - mmseg - INFO - Iter [123150/160000] lr: 2.344e-06, eta: 2:30:07, time: 0.200, data_time: 0.007, memory: 52540, decode.loss_ce: 0.0569, decode.acc_seg: 83.8035, decode.kl_loss: 0.0834, loss: 0.1402 +2023-03-06 07:34:35,802 - mmseg - INFO - Iter [123200/160000] lr: 2.344e-06, eta: 2:29:54, time: 0.201, data_time: 0.007, memory: 52540, decode.loss_ce: 0.0506, decode.acc_seg: 85.5029, decode.kl_loss: 0.0833, loss: 0.1339 +2023-03-06 07:34:46,071 - mmseg - INFO - Iter [123250/160000] lr: 2.344e-06, eta: 2:29:41, time: 0.205, data_time: 0.007, memory: 52540, decode.loss_ce: 0.0544, decode.acc_seg: 84.5313, decode.kl_loss: 0.0828, loss: 0.1372 +2023-03-06 07:34:56,544 - mmseg - INFO - Iter [123300/160000] lr: 2.344e-06, eta: 2:29:29, time: 0.209, data_time: 0.007, memory: 52540, decode.loss_ce: 0.0528, decode.acc_seg: 84.5984, decode.kl_loss: 0.0847, loss: 0.1375 +2023-03-06 07:35:06,597 - mmseg - INFO - Iter [123350/160000] lr: 2.344e-06, eta: 2:29:16, time: 0.201, data_time: 0.007, memory: 52540, decode.loss_ce: 0.0530, decode.acc_seg: 84.9589, decode.kl_loss: 0.0820, loss: 0.1350 +2023-03-06 07:35:16,769 - mmseg - INFO - Iter [123400/160000] lr: 2.344e-06, eta: 2:29:03, time: 0.203, data_time: 0.007, memory: 52540, decode.loss_ce: 0.0503, decode.acc_seg: 85.6407, decode.kl_loss: 0.0812, loss: 0.1315 +2023-03-06 07:35:26,829 - mmseg - INFO - Iter [123450/160000] lr: 2.344e-06, eta: 2:28:50, time: 0.201, data_time: 0.008, memory: 52540, decode.loss_ce: 0.0493, decode.acc_seg: 85.8302, decode.kl_loss: 0.0797, loss: 0.1289 +2023-03-06 07:35:36,775 - mmseg - INFO - Iter [123500/160000] lr: 2.344e-06, eta: 2:28:37, time: 0.199, data_time: 0.007, memory: 52540, decode.loss_ce: 0.0506, decode.acc_seg: 85.4777, decode.kl_loss: 0.0803, loss: 0.1309 +2023-03-06 07:35:46,835 - mmseg - INFO - Iter [123550/160000] lr: 2.344e-06, eta: 2:28:24, time: 0.201, data_time: 0.007, memory: 52540, decode.loss_ce: 0.0490, decode.acc_seg: 85.7920, decode.kl_loss: 0.0822, loss: 0.1312 +2023-03-06 07:35:56,918 - mmseg - INFO - Iter [123600/160000] lr: 2.344e-06, eta: 2:28:12, time: 0.202, data_time: 0.007, memory: 52540, decode.loss_ce: 0.0462, decode.acc_seg: 86.7947, decode.kl_loss: 0.0788, loss: 0.1250 +2023-03-06 07:36:07,430 - mmseg - INFO - Iter [123650/160000] lr: 2.344e-06, eta: 2:27:59, time: 0.210, data_time: 0.007, memory: 52540, decode.loss_ce: 0.0462, decode.acc_seg: 86.8348, decode.kl_loss: 0.0778, loss: 0.1239 +2023-03-06 07:36:20,047 - mmseg - INFO - Iter [123700/160000] lr: 2.344e-06, eta: 2:27:47, time: 0.252, data_time: 0.058, memory: 52540, decode.loss_ce: 0.0458, decode.acc_seg: 87.1467, decode.kl_loss: 0.0757, loss: 0.1215 +2023-03-06 07:36:30,170 - mmseg - INFO - Iter [123750/160000] lr: 2.344e-06, eta: 2:27:34, time: 0.202, data_time: 0.007, memory: 52540, decode.loss_ce: 0.0486, decode.acc_seg: 86.3858, decode.kl_loss: 0.0768, loss: 0.1254 +2023-03-06 07:36:40,337 - mmseg - INFO - Iter [123800/160000] lr: 2.344e-06, eta: 2:27:21, time: 0.203, data_time: 0.007, memory: 52540, decode.loss_ce: 0.0461, decode.acc_seg: 86.9375, decode.kl_loss: 0.0741, loss: 0.1201 +2023-03-06 07:36:50,416 - mmseg - INFO - Iter [123850/160000] lr: 2.344e-06, eta: 2:27:08, time: 0.202, data_time: 0.007, memory: 52540, decode.loss_ce: 0.0475, decode.acc_seg: 86.6490, decode.kl_loss: 0.0750, loss: 0.1224 +2023-03-06 07:37:00,434 - mmseg - INFO - Iter [123900/160000] lr: 2.344e-06, eta: 2:26:55, time: 0.200, data_time: 0.007, memory: 52540, decode.loss_ce: 0.0481, decode.acc_seg: 86.5267, decode.kl_loss: 0.0747, loss: 0.1228 +2023-03-06 07:37:10,400 - mmseg - INFO - Iter [123950/160000] lr: 2.344e-06, eta: 2:26:43, time: 0.199, data_time: 0.007, memory: 52540, decode.loss_ce: 0.0469, decode.acc_seg: 87.0647, decode.kl_loss: 0.0754, loss: 0.1223 +2023-03-06 07:37:20,691 - mmseg - INFO - Exp name: ablation_segformer_mit_b2_segformer_head_unet_fc_small_multi_step_ade_pretrained_freeze_embed_160k_ade20k151_finetune_ema_ce.py +2023-03-06 07:37:20,691 - mmseg - INFO - Iter [124000/160000] lr: 2.344e-06, eta: 2:26:30, time: 0.206, data_time: 0.007, memory: 52540, decode.loss_ce: 0.0455, decode.acc_seg: 87.1723, decode.kl_loss: 0.0708, loss: 0.1163 +2023-03-06 07:37:30,851 - mmseg - INFO - Iter [124050/160000] lr: 2.344e-06, eta: 2:26:17, time: 0.203, data_time: 0.007, memory: 52540, decode.loss_ce: 0.0475, decode.acc_seg: 86.7451, decode.kl_loss: 0.0716, loss: 0.1191 +2023-03-06 07:37:40,830 - mmseg - INFO - Iter [124100/160000] lr: 2.344e-06, eta: 2:26:04, time: 0.200, data_time: 0.007, memory: 52540, decode.loss_ce: 0.0506, decode.acc_seg: 86.2213, decode.kl_loss: 0.0760, loss: 0.1267 +2023-03-06 07:37:50,783 - mmseg - INFO - Iter [124150/160000] lr: 2.344e-06, eta: 2:25:51, time: 0.199, data_time: 0.007, memory: 52540, decode.loss_ce: 0.0478, decode.acc_seg: 86.7900, decode.kl_loss: 0.0735, loss: 0.1213 +2023-03-06 07:38:00,998 - mmseg - INFO - Iter [124200/160000] lr: 2.344e-06, eta: 2:25:38, time: 0.204, data_time: 0.007, memory: 52540, decode.loss_ce: 0.0492, decode.acc_seg: 86.0730, decode.kl_loss: 0.0737, loss: 0.1230 +2023-03-06 07:38:11,154 - mmseg - INFO - Iter [124250/160000] lr: 2.344e-06, eta: 2:25:26, time: 0.203, data_time: 0.007, memory: 52540, decode.loss_ce: 0.0462, decode.acc_seg: 87.2762, decode.kl_loss: 0.0697, loss: 0.1160 +2023-03-06 07:38:21,545 - mmseg - INFO - Iter [124300/160000] lr: 2.344e-06, eta: 2:25:13, time: 0.208, data_time: 0.007, memory: 52540, decode.loss_ce: 0.0476, decode.acc_seg: 86.7459, decode.kl_loss: 0.0706, loss: 0.1182 +2023-03-06 07:38:34,035 - mmseg - INFO - Iter [124350/160000] lr: 2.344e-06, eta: 2:25:01, time: 0.250, data_time: 0.056, memory: 52540, decode.loss_ce: 0.0456, decode.acc_seg: 87.2584, decode.kl_loss: 0.0720, loss: 0.1175 +2023-03-06 07:38:44,037 - mmseg - INFO - Iter [124400/160000] lr: 2.344e-06, eta: 2:24:48, time: 0.200, data_time: 0.007, memory: 52540, decode.loss_ce: 0.0447, decode.acc_seg: 87.7227, decode.kl_loss: 0.0684, loss: 0.1130 +2023-03-06 07:38:54,037 - mmseg - INFO - Iter [124450/160000] lr: 2.344e-06, eta: 2:24:35, time: 0.200, data_time: 0.007, memory: 52540, decode.loss_ce: 0.0472, decode.acc_seg: 86.9761, decode.kl_loss: 0.0708, loss: 0.1180 +2023-03-06 07:39:03,995 - mmseg - INFO - Iter [124500/160000] lr: 2.344e-06, eta: 2:24:22, time: 0.199, data_time: 0.007, memory: 52540, decode.loss_ce: 0.0463, decode.acc_seg: 87.1188, decode.kl_loss: 0.0707, loss: 0.1170 +2023-03-06 07:39:14,187 - mmseg - INFO - Iter [124550/160000] lr: 2.344e-06, eta: 2:24:10, time: 0.204, data_time: 0.007, memory: 52540, decode.loss_ce: 0.0437, decode.acc_seg: 88.1387, decode.kl_loss: 0.0666, loss: 0.1104 +2023-03-06 07:39:24,166 - mmseg - INFO - Iter [124600/160000] lr: 2.344e-06, eta: 2:23:57, time: 0.200, data_time: 0.007, memory: 52540, decode.loss_ce: 0.0468, decode.acc_seg: 87.1089, decode.kl_loss: 0.0694, loss: 0.1162 +2023-03-06 07:39:34,354 - mmseg - INFO - Iter [124650/160000] lr: 2.344e-06, eta: 2:23:44, time: 0.204, data_time: 0.007, memory: 52540, decode.loss_ce: 0.0456, decode.acc_seg: 87.3807, decode.kl_loss: 0.0686, loss: 0.1142 +2023-03-06 07:39:44,310 - mmseg - INFO - Iter [124700/160000] lr: 2.344e-06, eta: 2:23:31, time: 0.199, data_time: 0.007, memory: 52540, decode.loss_ce: 0.0432, decode.acc_seg: 87.9921, decode.kl_loss: 0.0683, loss: 0.1115 +2023-03-06 07:39:54,300 - mmseg - INFO - Iter [124750/160000] lr: 2.344e-06, eta: 2:23:18, time: 0.200, data_time: 0.007, memory: 52540, decode.loss_ce: 0.0464, decode.acc_seg: 87.2691, decode.kl_loss: 0.0708, loss: 0.1172 +2023-03-06 07:40:04,451 - mmseg - INFO - Iter [124800/160000] lr: 2.344e-06, eta: 2:23:06, time: 0.203, data_time: 0.007, memory: 52540, decode.loss_ce: 0.0455, decode.acc_seg: 87.4560, decode.kl_loss: 0.0687, loss: 0.1143 +2023-03-06 07:40:14,491 - mmseg - INFO - Iter [124850/160000] lr: 2.344e-06, eta: 2:22:53, time: 0.201, data_time: 0.007, memory: 52540, decode.loss_ce: 0.0470, decode.acc_seg: 87.0687, decode.kl_loss: 0.0717, loss: 0.1188 +2023-03-06 07:40:24,542 - mmseg - INFO - Iter [124900/160000] lr: 2.344e-06, eta: 2:22:40, time: 0.201, data_time: 0.008, memory: 52540, decode.loss_ce: 0.0449, decode.acc_seg: 87.7186, decode.kl_loss: 0.0691, loss: 0.1140 +2023-03-06 07:40:37,226 - mmseg - INFO - Iter [124950/160000] lr: 2.344e-06, eta: 2:22:28, time: 0.253, data_time: 0.055, memory: 52540, decode.loss_ce: 0.0459, decode.acc_seg: 87.4221, decode.kl_loss: 0.0679, loss: 0.1138 +2023-03-06 07:40:47,374 - mmseg - INFO - Exp name: ablation_segformer_mit_b2_segformer_head_unet_fc_small_multi_step_ade_pretrained_freeze_embed_160k_ade20k151_finetune_ema_ce.py +2023-03-06 07:40:47,374 - mmseg - INFO - Iter [125000/160000] lr: 2.344e-06, eta: 2:22:15, time: 0.203, data_time: 0.008, memory: 52540, decode.loss_ce: 0.0458, decode.acc_seg: 87.5935, decode.kl_loss: 0.0683, loss: 0.1141 +2023-03-06 07:40:57,515 - mmseg - INFO - Iter [125050/160000] lr: 2.344e-06, eta: 2:22:02, time: 0.203, data_time: 0.007, memory: 52540, decode.loss_ce: 0.0444, decode.acc_seg: 87.7483, decode.kl_loss: 0.0670, loss: 0.1113 +2023-03-06 07:41:07,551 - mmseg - INFO - Iter [125100/160000] lr: 2.344e-06, eta: 2:21:50, time: 0.201, data_time: 0.007, memory: 52540, decode.loss_ce: 0.0450, decode.acc_seg: 87.5799, decode.kl_loss: 0.0655, loss: 0.1105 +2023-03-06 07:41:18,004 - mmseg - INFO - Iter [125150/160000] lr: 2.344e-06, eta: 2:21:37, time: 0.209, data_time: 0.007, memory: 52540, decode.loss_ce: 0.0460, decode.acc_seg: 87.4539, decode.kl_loss: 0.0677, loss: 0.1137 +2023-03-06 07:41:28,108 - mmseg - INFO - Iter [125200/160000] lr: 2.344e-06, eta: 2:21:24, time: 0.202, data_time: 0.007, memory: 52540, decode.loss_ce: 0.0456, decode.acc_seg: 87.6871, decode.kl_loss: 0.0669, loss: 0.1125 +2023-03-06 07:41:38,365 - mmseg - INFO - Iter [125250/160000] lr: 2.344e-06, eta: 2:21:11, time: 0.205, data_time: 0.007, memory: 52540, decode.loss_ce: 0.0448, decode.acc_seg: 87.6359, decode.kl_loss: 0.0694, loss: 0.1142 +2023-03-06 07:41:48,858 - mmseg - INFO - Iter [125300/160000] lr: 2.344e-06, eta: 2:20:59, time: 0.210, data_time: 0.007, memory: 52540, decode.loss_ce: 0.0458, decode.acc_seg: 87.4106, decode.kl_loss: 0.0670, loss: 0.1128 +2023-03-06 07:41:58,899 - mmseg - INFO - Iter [125350/160000] lr: 2.344e-06, eta: 2:20:46, time: 0.201, data_time: 0.007, memory: 52540, decode.loss_ce: 0.0471, decode.acc_seg: 87.1232, decode.kl_loss: 0.0689, loss: 0.1160 +2023-03-06 07:42:08,801 - mmseg - INFO - Iter [125400/160000] lr: 2.344e-06, eta: 2:20:33, time: 0.198, data_time: 0.007, memory: 52540, decode.loss_ce: 0.0455, decode.acc_seg: 87.4708, decode.kl_loss: 0.0681, loss: 0.1135 +2023-03-06 07:42:18,958 - mmseg - INFO - Iter [125450/160000] lr: 2.344e-06, eta: 2:20:20, time: 0.203, data_time: 0.007, memory: 52540, decode.loss_ce: 0.0450, decode.acc_seg: 87.7777, decode.kl_loss: 0.0662, loss: 0.1112 +2023-03-06 07:42:29,085 - mmseg - INFO - Iter [125500/160000] lr: 2.344e-06, eta: 2:20:08, time: 0.203, data_time: 0.007, memory: 52540, decode.loss_ce: 0.0417, decode.acc_seg: 88.3907, decode.kl_loss: 0.0637, loss: 0.1054 +2023-03-06 07:42:39,168 - mmseg - INFO - Iter [125550/160000] lr: 2.344e-06, eta: 2:19:55, time: 0.202, data_time: 0.007, memory: 52540, decode.loss_ce: 0.0429, decode.acc_seg: 88.1581, decode.kl_loss: 0.0656, loss: 0.1085 +2023-03-06 07:42:51,962 - mmseg - INFO - Iter [125600/160000] lr: 2.344e-06, eta: 2:19:43, time: 0.256, data_time: 0.055, memory: 52540, decode.loss_ce: 0.0436, decode.acc_seg: 87.9449, decode.kl_loss: 0.0674, loss: 0.1110 +2023-03-06 07:43:02,067 - mmseg - INFO - Iter [125650/160000] lr: 2.344e-06, eta: 2:19:30, time: 0.202, data_time: 0.007, memory: 52540, decode.loss_ce: 0.0442, decode.acc_seg: 87.8751, decode.kl_loss: 0.0666, loss: 0.1108 +2023-03-06 07:43:11,978 - mmseg - INFO - Iter [125700/160000] lr: 2.344e-06, eta: 2:19:17, time: 0.198, data_time: 0.007, memory: 52540, decode.loss_ce: 0.0438, decode.acc_seg: 88.1263, decode.kl_loss: 0.0666, loss: 0.1104 +2023-03-06 07:43:22,104 - mmseg - INFO - Iter [125750/160000] lr: 2.344e-06, eta: 2:19:04, time: 0.203, data_time: 0.007, memory: 52540, decode.loss_ce: 0.0431, decode.acc_seg: 88.2640, decode.kl_loss: 0.0626, loss: 0.1057 +2023-03-06 07:43:32,122 - mmseg - INFO - Iter [125800/160000] lr: 2.344e-06, eta: 2:18:52, time: 0.200, data_time: 0.007, memory: 52540, decode.loss_ce: 0.0435, decode.acc_seg: 87.9438, decode.kl_loss: 0.0642, loss: 0.1077 +2023-03-06 07:43:42,302 - mmseg - INFO - Iter [125850/160000] lr: 2.344e-06, eta: 2:18:39, time: 0.204, data_time: 0.007, memory: 52540, decode.loss_ce: 0.0447, decode.acc_seg: 87.7705, decode.kl_loss: 0.0641, loss: 0.1088 +2023-03-06 07:43:52,473 - mmseg - INFO - Iter [125900/160000] lr: 2.344e-06, eta: 2:18:26, time: 0.203, data_time: 0.007, memory: 52540, decode.loss_ce: 0.0446, decode.acc_seg: 87.8289, decode.kl_loss: 0.0641, loss: 0.1087 +2023-03-06 07:44:02,677 - mmseg - INFO - Iter [125950/160000] lr: 2.344e-06, eta: 2:18:14, time: 0.204, data_time: 0.007, memory: 52540, decode.loss_ce: 0.0427, decode.acc_seg: 88.4137, decode.kl_loss: 0.0631, loss: 0.1058 +2023-03-06 07:44:12,850 - mmseg - INFO - Exp name: ablation_segformer_mit_b2_segformer_head_unet_fc_small_multi_step_ade_pretrained_freeze_embed_160k_ade20k151_finetune_ema_ce.py +2023-03-06 07:44:12,850 - mmseg - INFO - Iter [126000/160000] lr: 2.344e-06, eta: 2:18:01, time: 0.203, data_time: 0.007, memory: 52540, decode.loss_ce: 0.0425, decode.acc_seg: 88.1180, decode.kl_loss: 0.0659, loss: 0.1084 +2023-03-06 07:44:22,834 - mmseg - INFO - Iter [126050/160000] lr: 2.344e-06, eta: 2:17:48, time: 0.199, data_time: 0.007, memory: 52540, decode.loss_ce: 0.0420, decode.acc_seg: 88.3070, decode.kl_loss: 0.0652, loss: 0.1072 +2023-03-06 07:44:32,936 - mmseg - INFO - Iter [126100/160000] lr: 2.344e-06, eta: 2:17:35, time: 0.202, data_time: 0.007, memory: 52540, decode.loss_ce: 0.0422, decode.acc_seg: 88.2516, decode.kl_loss: 0.0651, loss: 0.1073 +2023-03-06 07:44:42,854 - mmseg - INFO - Iter [126150/160000] lr: 2.344e-06, eta: 2:17:23, time: 0.198, data_time: 0.007, memory: 52540, decode.loss_ce: 0.0435, decode.acc_seg: 88.0619, decode.kl_loss: 0.0642, loss: 0.1077 +2023-03-06 07:44:52,982 - mmseg - INFO - Iter [126200/160000] lr: 2.344e-06, eta: 2:17:10, time: 0.203, data_time: 0.007, memory: 52540, decode.loss_ce: 0.0454, decode.acc_seg: 87.6614, decode.kl_loss: 0.0682, loss: 0.1136 +2023-03-06 07:45:05,614 - mmseg - INFO - Iter [126250/160000] lr: 2.344e-06, eta: 2:16:58, time: 0.253, data_time: 0.054, memory: 52540, decode.loss_ce: 0.0462, decode.acc_seg: 87.1041, decode.kl_loss: 0.0678, loss: 0.1139 +2023-03-06 07:45:15,778 - mmseg - INFO - Iter [126300/160000] lr: 2.344e-06, eta: 2:16:45, time: 0.203, data_time: 0.007, memory: 52540, decode.loss_ce: 0.0454, decode.acc_seg: 87.5600, decode.kl_loss: 0.0670, loss: 0.1124 +2023-03-06 07:45:26,051 - mmseg - INFO - Iter [126350/160000] lr: 2.344e-06, eta: 2:16:32, time: 0.205, data_time: 0.007, memory: 52540, decode.loss_ce: 0.0437, decode.acc_seg: 88.0270, decode.kl_loss: 0.0656, loss: 0.1094 +2023-03-06 07:45:36,078 - mmseg - INFO - Iter [126400/160000] lr: 2.344e-06, eta: 2:16:20, time: 0.200, data_time: 0.007, memory: 52540, decode.loss_ce: 0.0446, decode.acc_seg: 87.6696, decode.kl_loss: 0.0680, loss: 0.1127 +2023-03-06 07:45:46,091 - mmseg - INFO - Iter [126450/160000] lr: 2.344e-06, eta: 2:16:07, time: 0.201, data_time: 0.007, memory: 52540, decode.loss_ce: 0.0429, decode.acc_seg: 88.1508, decode.kl_loss: 0.0640, loss: 0.1068 +2023-03-06 07:45:56,366 - mmseg - INFO - Iter [126500/160000] lr: 2.344e-06, eta: 2:15:54, time: 0.205, data_time: 0.007, memory: 52540, decode.loss_ce: 0.0421, decode.acc_seg: 88.4353, decode.kl_loss: 0.0644, loss: 0.1065 +2023-03-06 07:46:06,421 - mmseg - INFO - Iter [126550/160000] lr: 2.344e-06, eta: 2:15:41, time: 0.201, data_time: 0.008, memory: 52540, decode.loss_ce: 0.0445, decode.acc_seg: 87.5911, decode.kl_loss: 0.0671, loss: 0.1116 +2023-03-06 07:46:16,539 - mmseg - INFO - Iter [126600/160000] lr: 2.344e-06, eta: 2:15:29, time: 0.202, data_time: 0.007, memory: 52540, decode.loss_ce: 0.0425, decode.acc_seg: 88.0206, decode.kl_loss: 0.0662, loss: 0.1087 +2023-03-06 07:46:26,536 - mmseg - INFO - Iter [126650/160000] lr: 2.344e-06, eta: 2:15:16, time: 0.200, data_time: 0.007, memory: 52540, decode.loss_ce: 0.0439, decode.acc_seg: 88.0953, decode.kl_loss: 0.0658, loss: 0.1096 +2023-03-06 07:46:36,878 - mmseg - INFO - Iter [126700/160000] lr: 2.344e-06, eta: 2:15:03, time: 0.207, data_time: 0.007, memory: 52540, decode.loss_ce: 0.0441, decode.acc_seg: 87.9808, decode.kl_loss: 0.0645, loss: 0.1086 +2023-03-06 07:46:46,811 - mmseg - INFO - Iter [126750/160000] lr: 2.344e-06, eta: 2:14:51, time: 0.199, data_time: 0.007, memory: 52540, decode.loss_ce: 0.0424, decode.acc_seg: 88.0715, decode.kl_loss: 0.0668, loss: 0.1092 +2023-03-06 07:46:56,988 - mmseg - INFO - Iter [126800/160000] lr: 2.344e-06, eta: 2:14:38, time: 0.204, data_time: 0.007, memory: 52540, decode.loss_ce: 0.0429, decode.acc_seg: 88.1290, decode.kl_loss: 0.0658, loss: 0.1088 +2023-03-06 07:47:09,669 - mmseg - INFO - Iter [126850/160000] lr: 2.344e-06, eta: 2:14:26, time: 0.254, data_time: 0.055, memory: 52540, decode.loss_ce: 0.0431, decode.acc_seg: 88.0081, decode.kl_loss: 0.0655, loss: 0.1085 +2023-03-06 07:47:19,928 - mmseg - INFO - Iter [126900/160000] lr: 2.344e-06, eta: 2:14:13, time: 0.205, data_time: 0.007, memory: 52540, decode.loss_ce: 0.0448, decode.acc_seg: 87.8393, decode.kl_loss: 0.0649, loss: 0.1097 +2023-03-06 07:47:29,956 - mmseg - INFO - Iter [126950/160000] lr: 2.344e-06, eta: 2:14:01, time: 0.201, data_time: 0.007, memory: 52540, decode.loss_ce: 0.0422, decode.acc_seg: 88.3862, decode.kl_loss: 0.0640, loss: 0.1062 +2023-03-06 07:47:39,907 - mmseg - INFO - Exp name: ablation_segformer_mit_b2_segformer_head_unet_fc_small_multi_step_ade_pretrained_freeze_embed_160k_ade20k151_finetune_ema_ce.py +2023-03-06 07:47:39,907 - mmseg - INFO - Iter [127000/160000] lr: 2.344e-06, eta: 2:13:48, time: 0.199, data_time: 0.007, memory: 52540, decode.loss_ce: 0.0410, decode.acc_seg: 88.5172, decode.kl_loss: 0.0640, loss: 0.1050 +2023-03-06 07:47:50,384 - mmseg - INFO - Iter [127050/160000] lr: 2.344e-06, eta: 2:13:35, time: 0.210, data_time: 0.007, memory: 52540, decode.loss_ce: 0.0420, decode.acc_seg: 88.4635, decode.kl_loss: 0.0625, loss: 0.1045 +2023-03-06 07:48:00,366 - mmseg - INFO - Iter [127100/160000] lr: 2.344e-06, eta: 2:13:22, time: 0.200, data_time: 0.007, memory: 52540, decode.loss_ce: 0.0422, decode.acc_seg: 88.2697, decode.kl_loss: 0.0644, loss: 0.1066 +2023-03-06 07:48:10,380 - mmseg - INFO - Iter [127150/160000] lr: 2.344e-06, eta: 2:13:10, time: 0.200, data_time: 0.007, memory: 52540, decode.loss_ce: 0.0424, decode.acc_seg: 88.4722, decode.kl_loss: 0.0624, loss: 0.1048 +2023-03-06 07:48:20,393 - mmseg - INFO - Iter [127200/160000] lr: 2.344e-06, eta: 2:12:57, time: 0.200, data_time: 0.007, memory: 52540, decode.loss_ce: 0.0431, decode.acc_seg: 88.2103, decode.kl_loss: 0.0631, loss: 0.1062 +2023-03-06 07:48:30,407 - mmseg - INFO - Iter [127250/160000] lr: 2.344e-06, eta: 2:12:44, time: 0.200, data_time: 0.007, memory: 52540, decode.loss_ce: 0.0420, decode.acc_seg: 88.2739, decode.kl_loss: 0.0644, loss: 0.1064 +2023-03-06 07:48:40,357 - mmseg - INFO - Iter [127300/160000] lr: 2.344e-06, eta: 2:12:32, time: 0.199, data_time: 0.007, memory: 52540, decode.loss_ce: 0.0420, decode.acc_seg: 88.3119, decode.kl_loss: 0.0647, loss: 0.1066 +2023-03-06 07:48:50,526 - mmseg - INFO - Iter [127350/160000] lr: 2.344e-06, eta: 2:12:19, time: 0.203, data_time: 0.007, memory: 52540, decode.loss_ce: 0.0424, decode.acc_seg: 88.1634, decode.kl_loss: 0.0629, loss: 0.1053 +2023-03-06 07:49:00,620 - mmseg - INFO - Iter [127400/160000] lr: 2.344e-06, eta: 2:12:06, time: 0.202, data_time: 0.007, memory: 52540, decode.loss_ce: 0.0424, decode.acc_seg: 88.2360, decode.kl_loss: 0.0644, loss: 0.1068 +2023-03-06 07:49:10,886 - mmseg - INFO - Iter [127450/160000] lr: 2.344e-06, eta: 2:11:54, time: 0.206, data_time: 0.007, memory: 52540, decode.loss_ce: 0.0416, decode.acc_seg: 88.4140, decode.kl_loss: 0.0623, loss: 0.1039 +2023-03-06 07:49:23,510 - mmseg - INFO - Iter [127500/160000] lr: 2.344e-06, eta: 2:11:42, time: 0.252, data_time: 0.055, memory: 52540, decode.loss_ce: 0.0422, decode.acc_seg: 88.3432, decode.kl_loss: 0.0645, loss: 0.1067 +2023-03-06 07:49:33,512 - mmseg - INFO - Iter [127550/160000] lr: 2.344e-06, eta: 2:11:29, time: 0.200, data_time: 0.007, memory: 52540, decode.loss_ce: 0.0423, decode.acc_seg: 88.2745, decode.kl_loss: 0.0647, loss: 0.1070 +2023-03-06 07:49:43,504 - mmseg - INFO - Iter [127600/160000] lr: 2.344e-06, eta: 2:11:16, time: 0.200, data_time: 0.007, memory: 52540, decode.loss_ce: 0.0417, decode.acc_seg: 88.5312, decode.kl_loss: 0.0644, loss: 0.1061 +2023-03-06 07:49:53,525 - mmseg - INFO - Iter [127650/160000] lr: 2.344e-06, eta: 2:11:03, time: 0.200, data_time: 0.007, memory: 52540, decode.loss_ce: 0.0417, decode.acc_seg: 88.4498, decode.kl_loss: 0.0657, loss: 0.1074 +2023-03-06 07:50:03,774 - mmseg - INFO - Iter [127700/160000] lr: 2.344e-06, eta: 2:10:51, time: 0.205, data_time: 0.007, memory: 52540, decode.loss_ce: 0.0422, decode.acc_seg: 88.2884, decode.kl_loss: 0.0655, loss: 0.1077 +2023-03-06 07:50:13,779 - mmseg - INFO - Iter [127750/160000] lr: 2.344e-06, eta: 2:10:38, time: 0.200, data_time: 0.007, memory: 52540, decode.loss_ce: 0.0416, decode.acc_seg: 88.4361, decode.kl_loss: 0.0640, loss: 0.1056 +2023-03-06 07:50:23,780 - mmseg - INFO - Iter [127800/160000] lr: 2.344e-06, eta: 2:10:25, time: 0.200, data_time: 0.007, memory: 52540, decode.loss_ce: 0.0413, decode.acc_seg: 88.4273, decode.kl_loss: 0.0669, loss: 0.1081 +2023-03-06 07:50:34,133 - mmseg - INFO - Iter [127850/160000] lr: 2.344e-06, eta: 2:10:13, time: 0.207, data_time: 0.007, memory: 52540, decode.loss_ce: 0.0427, decode.acc_seg: 88.2001, decode.kl_loss: 0.0644, loss: 0.1072 +2023-03-06 07:50:44,294 - mmseg - INFO - Iter [127900/160000] lr: 2.344e-06, eta: 2:10:00, time: 0.203, data_time: 0.007, memory: 52540, decode.loss_ce: 0.0416, decode.acc_seg: 88.4850, decode.kl_loss: 0.0644, loss: 0.1060 +2023-03-06 07:50:54,403 - mmseg - INFO - Iter [127950/160000] lr: 2.344e-06, eta: 2:09:47, time: 0.202, data_time: 0.007, memory: 52540, decode.loss_ce: 0.0402, decode.acc_seg: 88.8058, decode.kl_loss: 0.0627, loss: 0.1029 +2023-03-06 07:51:04,532 - mmseg - INFO - Swap parameters (after train) after iter [128000] +2023-03-06 07:51:04,546 - mmseg - INFO - Saving checkpoint at 128000 iterations +2023-03-06 07:51:05,552 - mmseg - INFO - Exp name: ablation_segformer_mit_b2_segformer_head_unet_fc_small_multi_step_ade_pretrained_freeze_embed_160k_ade20k151_finetune_ema_ce.py +2023-03-06 07:51:05,553 - mmseg - INFO - Iter [128000/160000] lr: 2.344e-06, eta: 2:09:35, time: 0.223, data_time: 0.007, memory: 52540, decode.loss_ce: 0.0413, decode.acc_seg: 88.6235, decode.kl_loss: 0.0650, loss: 0.1062 +2023-03-06 08:01:54,938 - mmseg - INFO - per class results: +2023-03-06 08:01:54,946 - mmseg - INFO - ++---------------------+-------------------------------------------------------------------+ +| Class | IoU 0,10,20,30,40,50,60,70,80,90,99 | ++---------------------+-------------------------------------------------------------------+ +| background | nan,nan,nan,nan,nan,nan,nan,nan,nan,nan,nan | +| wall | 74.33,74.64,74.62,74.59,74.55,74.52,74.5,74.46,74.46,74.44,74.32 | +| building | 80.17,80.35,80.35,80.33,80.32,80.3,80.28,80.26,80.25,80.23,80.14 | +| sky | 92.43,92.76,92.72,92.7,92.65,92.63,92.58,92.55,92.53,92.53,92.53 | +| floor | 78.99,79.28,79.27,79.22,79.2,79.18,79.14,79.09,79.06,79.0,78.84 | +| tree | 71.75,72.01,71.99,71.98,71.96,71.95,71.92,71.9,71.88,71.82,71.7 | +| ceiling | 81.77,82.11,82.11,82.1,82.08,82.05,81.99,81.95,81.92,81.87,81.78 | +| road | 79.35,79.68,79.67,79.63,79.59,79.55,79.5,79.45,79.4,79.32,79.16 | +| bed | 83.19,83.65,83.62,83.6,83.58,83.53,83.49,83.45,83.41,83.33,83.24 | +| windowpane | 55.09,55.6,55.55,55.53,55.47,55.4,55.32,55.22,55.14,54.99,54.67 | +| grass | 64.68,64.96,65.0,64.98,64.97,64.98,64.95,64.96,64.93,64.9,64.82 | +| cabinet | 54.64,55.18,55.12,55.1,55.05,55.0,54.92,54.86,54.78,54.69,54.36 | +| sidewalk | 55.48,56.43,56.38,56.34,56.27,56.2,56.1,56.05,55.93,55.77,55.37 | +| person | 74.9,75.42,75.36,75.29,75.26,75.19,75.12,75.09,75.01,74.91,74.62 | +| earth | 33.6,33.93,33.94,33.92,33.89,33.85,33.81,33.7,33.62,33.46,33.19 | +| door | 41.0,41.35,41.4,41.41,41.41,41.38,41.32,41.27,41.2,41.19,41.1 | +| table | 51.98,52.76,52.78,52.71,52.72,52.67,52.62,52.51,52.41,52.22,51.84 | +| mountain | 54.47,54.89,54.87,54.86,54.88,54.86,54.81,54.78,54.71,54.69,54.63 | +| plant | 46.63,47.1,47.05,47.04,47.01,47.08,47.06,47.09,47.09,47.1,47.05 | +| curtain | 69.88,70.35,70.38,70.34,70.34,70.29,70.26,70.2,70.15,70.11,69.88 | +| chair | 49.72,50.42,50.45,50.37,50.36,50.28,50.22,50.08,49.98,49.83,49.59 | +| car | 79.11,79.56,79.53,79.53,79.49,79.49,79.44,79.39,79.29,79.2,79.05 | +| water | 55.46,56.02,56.03,56.03,56.03,56.04,56.06,56.06,56.04,56.06,56.07 | +| painting | 67.09,67.66,67.68,67.58,67.54,67.44,67.34,67.27,67.23,67.08,66.78 | +| sofa | 36.98,38.74,38.34,37.99,37.7,37.44,37.14,36.94,36.67,36.34,35.72 | +| shelf | 39.36,40.14,40.07,40.04,39.98,40.0,39.93,39.88,39.82,39.75,39.54 | +| house | 40.6,40.8,40.86,40.92,40.9,40.94,40.92,40.93,40.97,41.05,41.2 | +| sea | 56.78,57.63,57.66,57.63,57.7,57.63,57.68,57.68,57.77,57.82,57.88 | +| mirror | 58.67,59.21,59.25,59.26,59.2,59.2,59.13,59.13,59.15,59.25,59.26 | +| rug | 59.04,59.48,59.56,59.47,59.47,59.54,59.5,59.55,59.57,59.53,59.43 | +| field | 30.0,30.12,30.18,30.2,30.2,30.22,30.2,30.17,30.15,30.06,29.99 | +| armchair | 31.54,31.97,31.99,31.93,31.88,31.9,31.89,31.89,31.92,31.94,31.81 | +| seat | 63.58,63.94,64.03,63.94,63.94,63.88,63.82,63.77,63.7,63.64,63.62 | +| fence | 38.33,38.76,38.8,38.86,38.88,38.9,38.93,38.99,39.04,39.13,39.1 | +| desk | 41.72,42.37,42.47,42.46,42.4,42.33,42.25,42.2,42.09,41.87,41.69 | +| rock | 32.99,33.27,33.3,33.3,33.24,33.2,33.18,33.21,33.22,33.22,33.11 | +| wardrobe | 49.67,50.89,50.91,50.98,50.85,50.68,50.59,50.41,50.32,50.23,50.22 | +| lamp | 55.65,56.21,56.05,56.09,56.06,56.1,56.08,56.04,56.01,56.02,55.97 | +| bathtub | 71.33,71.32,71.33,71.4,71.38,71.46,71.41,71.46,71.5,71.57,71.58 | +| railing | 32.61,32.98,33.14,33.13,33.17,33.13,33.16,33.0,32.97,32.88,32.75 | +| cushion | 16.66,18.29,18.11,17.94,17.67,17.44,17.2,17.01,16.84,16.68,16.31 | +| base | 18.69,18.8,18.86,18.89,18.71,18.67,18.66,18.68,18.68,18.68,18.76 | +| box | 18.83,19.15,19.19,19.11,19.11,19.11,19.05,19.18,19.02,19.0,18.96 | +| column | 41.11,41.57,41.66,41.68,41.68,41.84,41.86,41.92,41.97,42.02,41.96 | +| signboard | 32.11,32.98,33.02,33.06,33.13,33.15,33.12,33.16,33.17,33.15,33.0 | +| chest of drawers | 34.02,34.17,34.21,34.28,34.35,34.36,34.41,34.36,34.33,34.26,34.02 | +| counter | 30.34,30.21,30.26,30.32,30.38,30.43,30.4,30.43,30.44,30.52,30.37 | +| sand | 38.5,38.62,38.69,38.71,38.77,38.77,38.87,38.98,39.04,39.11,39.14 | +| sink | 62.19,62.43,62.35,62.34,62.37,62.36,62.38,62.22,62.23,62.13,61.96 | +| skyscraper | 55.58,54.81,54.73,54.78,54.78,54.95,55.04,55.16,55.39,55.63,55.74 | +| fireplace | 72.02,72.4,72.38,72.43,72.37,72.44,72.49,72.28,72.28,72.14,71.95 | +| refrigerator | 69.31,69.9,70.02,70.06,70.07,70.03,70.1,70.07,70.13,70.16,70.13 | +| grandstand | 49.61,49.44,49.51,49.71,49.73,49.61,49.61,49.42,49.23,49.0,49.0 | +| path | 18.82,19.11,18.94,18.86,18.83,18.77,18.66,18.6,18.73,18.87,18.8 | +| stairs | 28.8,29.02,29.18,29.31,29.26,29.23,29.36,29.24,29.21,29.13,29.06 | +| runway | 64.24,64.47,64.42,64.49,64.57,64.53,64.54,64.59,64.58,64.63,64.47 | +| case | 45.74,46.17,46.23,46.24,46.23,46.32,46.19,46.18,46.16,46.23,46.11 | +| pool table | 88.37,88.75,88.7,88.62,88.63,88.61,88.54,88.52,88.44,88.45,88.36 | +| pillow | 43.29,44.01,43.96,43.83,43.94,44.06,44.08,44.33,44.52,44.71,44.85 | +| screen door | 63.96,63.7,64.18,64.32,64.42,64.5,64.75,64.91,65.08,65.13,65.16 | +| stairway | 20.76,20.95,21.12,21.08,21.06,21.09,21.03,21.02,21.08,21.05,21.03 | +| river | 11.46,11.43,11.42,11.38,11.4,11.4,11.42,11.42,11.42,11.39,11.39 | +| bridge | 33.44,33.37,33.73,33.84,34.02,33.93,34.11,34.18,34.31,34.37,34.49 | +| bookcase | 40.15,41.05,41.02,41.02,41.09,41.03,40.93,40.95,40.93,40.8,40.61 | +| blind | 30.32,31.09,31.11,30.86,30.95,30.85,30.86,30.93,30.89,31.07,31.09 | +| coffee table | 49.48,50.13,50.23,50.12,50.09,50.06,50.05,50.05,49.83,49.71,49.47 | +| toilet | 79.66,79.9,79.82,79.85,79.95,79.93,79.95,79.95,79.97,79.87,79.64 | +| flower | 36.29,36.54,36.61,36.59,36.46,36.37,36.39,36.45,36.37,36.2,36.04 | +| book | 41.65,41.91,41.84,41.88,41.73,41.64,41.5,41.42,41.25,41.19,41.12 | +| hill | 12.47,12.64,12.63,12.62,12.6,12.68,12.57,12.64,12.63,12.49,12.44 | +| bench | 38.28,39.23,39.2,39.26,39.19,39.22,39.14,38.99,38.78,38.47,38.2 | +| countertop | 47.6,47.94,48.03,48.01,48.06,47.95,47.81,47.78,47.88,48.01,48.01 | +| stove | 66.54,66.9,67.02,67.23,67.23,67.35,67.22,67.18,67.12,67.21,67.22 | +| palm | 46.45,46.59,46.59,46.61,46.59,46.53,46.63,46.67,46.68,46.56,46.53 | +| kitchen island | 30.09,30.61,30.63,30.68,30.53,30.45,30.53,30.44,30.41,30.38,30.26 | +| computer | 53.62,54.55,54.42,54.36,54.34,54.29,54.19,54.19,54.03,53.99,53.82 | +| swivel chair | 42.07,42.2,42.32,42.39,42.64,42.59,42.71,42.8,42.88,42.92,42.95 | +| boat | 65.83,66.4,66.56,66.63,67.03,66.91,66.96,66.92,66.84,66.73,66.52 | +| bar | 21.97,21.93,22.01,21.99,22.07,22.04,22.12,22.13,22.25,22.33,22.43 | +| arcade machine | 68.05,68.6,68.74,69.07,69.27,69.06,69.2,69.35,69.68,69.95,70.17 | +| hovel | 32.34,31.27,31.28,31.9,32.39,32.63,33.09,33.49,33.97,34.35,34.56 | +| bus | 77.31,77.21,77.31,77.19,77.29,77.36,77.42,77.35,77.34,77.23,77.11 | +| towel | 56.59,57.01,56.93,57.1,57.23,57.21,57.29,57.39,57.45,57.41,57.26 | +| light | 29.07,30.7,30.61,30.84,30.98,31.04,31.19,31.28,31.31,31.78,32.37 | +| truck | 17.57,18.19,18.12,17.97,17.57,17.67,17.42,17.39,17.16,17.21,17.17 | +| tower | 13.64,13.39,13.49,13.48,13.56,13.49,13.54,13.55,13.5,13.54,13.53 | +| chandelier | 60.05,60.5,60.34,60.41,60.53,60.49,60.44,60.37,60.41,60.53,60.68 | +| awning | 17.37,17.71,17.65,17.77,17.78,17.62,17.68,17.75,17.93,18.15,18.44 | +| streetlight | 19.45,19.77,19.68,19.59,19.6,19.68,19.79,19.77,19.94,20.05,19.99 | +| booth | 36.96,36.93,37.0,36.72,36.75,36.53,36.71,36.66,36.78,36.94,37.25 | +| television receiver | 62.74,63.62,63.39,63.38,63.33,63.29,63.27,63.46,63.27,63.12,63.11 | +| airplane | 55.64,55.78,56.06,55.89,55.94,55.92,55.9,56.0,56.15,56.23,56.31 | +| dirt track | 10.6,11.55,11.61,11.63,11.79,11.59,11.78,11.59,11.39,11.23,11.19 | +| apparel | 30.67,31.32,31.22,31.58,31.31,31.37,31.53,31.27,31.39,31.22,31.13 | +| pole | 3.6,4.21,4.23,4.31,4.4,4.38,4.54,4.66,4.8,4.84,4.87 | +| land | 2.46,2.69,2.6,2.55,2.58,2.57,2.67,2.66,2.65,2.81,2.86 | +| bannister | 8.6,8.8,8.97,8.75,8.8,9.1,9.03,9.08,9.09,9.35,9.49 | +| escalator | 21.04,21.7,21.71,21.64,21.72,21.83,21.83,21.94,22.05,22.15,22.21 | +| ottoman | 35.78,36.71,36.46,36.72,36.56,36.3,36.4,36.4,36.22,36.24,36.22 | +| bottle | 29.08,29.63,29.47,30.02,29.69,29.61,30.08,29.66,29.76,29.66,30.04 | +| buffet | 35.09,34.72,34.68,35.09,35.25,35.33,35.62,35.89,36.34,36.52,36.65 | +| poster | 20.79,20.51,20.8,20.94,20.97,20.93,21.04,21.03,21.06,21.18,21.24 | +| stage | 12.48,12.45,12.44,12.43,12.28,12.27,12.12,12.08,12.09,12.07,12.16 | +| van | 36.77,37.0,37.05,37.27,37.0,37.1,37.05,36.98,37.0,37.16,37.07 | +| ship | 78.01,77.84,77.76,77.97,78.51,78.81,78.87,78.95,78.88,78.78,78.64 | +| fountain | 10.65,10.67,10.68,10.54,10.53,10.72,10.81,10.96,11.23,11.32,11.56 | +| conveyer belt | 73.12,74.56,74.66,74.72,74.54,74.59,74.49,74.26,74.21,74.16,73.67 | +| canopy | 20.69,21.18,21.14,21.46,21.35,21.06,21.19,21.45,21.43,21.48,21.54 | +| washer | 71.78,71.66,71.68,71.68,71.6,71.73,71.71,72.01,72.26,72.74,73.12 | +| plaything | 17.41,17.5,17.36,17.55,17.64,17.6,17.66,17.78,17.69,17.74,17.63 | +| swimming pool | 68.92,69.55,69.37,69.52,69.49,69.7,69.54,69.61,69.66,69.97,70.09 | +| stool | 34.59,35.54,35.57,35.67,35.54,35.55,35.55,35.52,35.54,35.74,35.64 | +| barrel | 29.6,27.82,28.77,29.06,29.55,29.58,29.9,31.01,30.56,30.28,29.86 | +| basket | 19.38,20.12,20.05,20.06,20.04,19.87,19.93,19.55,19.52,19.53,19.44 | +| waterfall | 54.64,55.37,55.22,55.06,54.9,54.97,54.87,54.72,54.44,54.48,54.59 | +| tent | 90.18,91.4,91.67,91.54,91.79,91.9,91.74,91.49,91.14,90.8,90.58 | +| bag | 11.33,10.96,10.87,10.87,11.08,11.09,10.97,10.93,11.03,11.14,11.11 | +| minibike | 48.78,51.17,51.37,51.48,51.34,51.49,51.5,51.87,51.68,51.92,52.08 | +| cradle | 80.39,80.87,80.91,80.89,81.24,81.16,81.29,81.26,81.37,81.54,81.48 | +| oven | 40.82,42.44,42.37,42.47,42.4,42.53,42.98,43.02,43.39,43.54,43.72 | +| ball | 39.68,40.41,40.52,40.24,40.17,40.0,39.64,39.55,39.42,39.17,39.05 | +| food | 37.59,39.5,39.6,39.5,39.84,39.87,40.05,40.39,40.44,40.52,40.44 | +| step | 6.63,6.41,6.48,6.3,6.24,6.18,6.16,5.95,5.69,5.43,5.38 | +| tank | 48.96,49.71,49.8,49.59,49.54,49.24,49.36,49.06,49.07,49.35,49.66 | +| trade name | 20.07,20.68,20.64,20.35,20.52,20.23,20.13,20.2,20.16,20.4,20.86 | +| microwave | 63.16,65.82,65.89,66.33,66.7,66.94,67.7,67.97,68.75,69.18,69.39 | +| pot | 21.23,21.81,21.9,21.96,22.0,22.07,22.12,22.06,22.17,22.47,22.73 | +| animal | 50.29,50.71,50.7,50.65,50.61,50.53,50.49,50.39,50.42,50.43,50.37 | +| bicycle | 47.78,47.13,47.55,47.77,47.97,47.96,48.18,48.03,48.25,48.05,47.95 | +| lake | 56.52,56.63,56.63,56.71,56.8,56.79,56.83,56.86,56.88,56.86,56.81 | +| dishwasher | 61.99,62.5,62.33,62.58,62.51,62.58,62.58,62.6,62.24,62.29,61.99 | +| screen | 60.51,60.64,61.11,61.0,61.07,61.1,60.89,60.7,60.64,60.39,60.46 | +| blanket | 13.73,13.53,13.63,13.7,13.8,13.77,13.91,14.22,14.38,14.48,14.56 | +| sculpture | 53.47,54.81,54.84,54.95,54.87,54.63,54.42,54.22,53.83,53.6,52.95 | +| hood | 46.31,47.5,47.75,47.82,47.96,48.04,48.09,48.37,48.39,48.49,48.55 | +| sconce | 11.04,13.1,12.9,12.75,12.49,12.28,12.16,11.88,11.59,11.31,10.83 | +| vase | 14.0,15.11,15.02,15.16,15.0,15.04,14.93,14.83,14.86,14.64,14.37 | +| traffic light | 25.13,25.55,25.68,25.86,25.93,25.95,25.93,26.09,26.21,26.21,26.05 | +| tray | 3.52,3.71,3.83,3.79,3.81,3.8,3.75,3.65,3.61,3.64,3.65 | +| ashcan | 30.58,32.4,32.61,32.55,32.74,32.78,32.68,32.4,32.39,32.44,32.35 | +| fan | 49.55,49.97,49.99,49.92,50.18,50.14,50.2,50.41,50.61,50.73,50.96 | +| pier | 40.39,42.09,42.51,42.64,42.52,42.43,42.29,42.01,41.77,42.12,42.13 | +| crt screen | 2.74,3.47,3.28,3.11,3.17,2.96,2.8,2.78,2.71,2.83,3.06 | +| plate | 32.22,34.0,34.2,34.65,34.96,35.15,36.0,36.08,36.54,36.82,36.84 | +| monitor | 15.49,15.35,14.91,14.91,14.74,14.63,14.58,14.37,14.33,14.11,13.95 | +| bulletin board | 26.51,29.3,29.31,28.87,28.96,28.83,29.05,28.71,28.79,29.33,29.55 | +| shower | 0.5,0.38,0.38,0.34,0.39,0.35,0.4,0.39,0.47,0.48,0.5 | +| radiator | 49.12,48.15,48.61,49.15,49.56,50.16,50.89,51.4,51.83,52.53,52.99 | +| glass | 5.18,5.11,5.31,5.33,5.34,5.48,5.43,5.56,5.84,5.89,6.08 | +| clock | 27.74,28.41,28.32,28.15,28.12,28.67,28.78,28.66,28.83,29.24,29.21 | +| flag | 30.3,30.58,30.9,30.95,30.91,30.97,31.27,31.3,31.45,31.63,31.63 | ++---------------------+-------------------------------------------------------------------+ +2023-03-06 08:01:54,947 - mmseg - INFO - Summary: +2023-03-06 08:01:54,947 - mmseg - INFO - ++------------------------------------------------------------------+ +| mIoU 0,10,20,30,40,50,60,70,80,90,99 | ++------------------------------------------------------------------+ +| 42.87,43.35,43.38,43.4,43.42,43.41,43.44,43.43,43.44,43.46,43.41 | ++------------------------------------------------------------------+ +2023-03-06 08:01:54,947 - mmseg - INFO - Exp name: ablation_segformer_mit_b2_segformer_head_unet_fc_small_multi_step_ade_pretrained_freeze_embed_160k_ade20k151_finetune_ema_ce.py +2023-03-06 08:01:54,947 - mmseg - INFO - Iter(val) [250] mIoU: [0.4287, 0.4335, 0.4338, 0.434, 0.4342, 0.4341, 0.4344, 0.4343, 0.4344, 0.4346, 0.4341], copy_paste: 42.87,43.35,43.38,43.4,43.42,43.41,43.44,43.43,43.44,43.46,43.41 +2023-03-06 08:01:54,954 - mmseg - INFO - Swap parameters (before train) before iter [128001] +2023-03-06 08:02:05,325 - mmseg - INFO - Iter [128050/160000] lr: 2.344e-06, eta: 2:12:05, time: 13.195, data_time: 12.996, memory: 52540, decode.loss_ce: 0.0420, decode.acc_seg: 88.1918, decode.kl_loss: 0.0645, loss: 0.1065 +2023-03-06 08:02:18,037 - mmseg - INFO - Iter [128100/160000] lr: 2.344e-06, eta: 2:11:52, time: 0.254, data_time: 0.054, memory: 52540, decode.loss_ce: 0.0407, decode.acc_seg: 88.6685, decode.kl_loss: 0.0650, loss: 0.1057 +2023-03-06 08:02:28,200 - mmseg - INFO - Iter [128150/160000] lr: 2.344e-06, eta: 2:11:39, time: 0.203, data_time: 0.008, memory: 52540, decode.loss_ce: 0.0407, decode.acc_seg: 88.6369, decode.kl_loss: 0.0653, loss: 0.1060 +2023-03-06 08:02:38,416 - mmseg - INFO - Iter [128200/160000] lr: 2.344e-06, eta: 2:11:26, time: 0.204, data_time: 0.008, memory: 52540, decode.loss_ce: 0.0424, decode.acc_seg: 88.3690, decode.kl_loss: 0.0633, loss: 0.1057 +2023-03-06 08:02:48,513 - mmseg - INFO - Iter [128250/160000] lr: 2.344e-06, eta: 2:11:13, time: 0.202, data_time: 0.007, memory: 52540, decode.loss_ce: 0.0414, decode.acc_seg: 88.4206, decode.kl_loss: 0.0641, loss: 0.1055 +2023-03-06 08:02:58,626 - mmseg - INFO - Iter [128300/160000] lr: 2.344e-06, eta: 2:11:00, time: 0.202, data_time: 0.007, memory: 52540, decode.loss_ce: 0.0412, decode.acc_seg: 88.5888, decode.kl_loss: 0.0637, loss: 0.1049 +2023-03-06 08:03:08,724 - mmseg - INFO - Iter [128350/160000] lr: 2.344e-06, eta: 2:10:47, time: 0.202, data_time: 0.007, memory: 52540, decode.loss_ce: 0.0422, decode.acc_seg: 88.5214, decode.kl_loss: 0.0621, loss: 0.1043 +2023-03-06 08:03:18,651 - mmseg - INFO - Iter [128400/160000] lr: 2.344e-06, eta: 2:10:34, time: 0.199, data_time: 0.007, memory: 52540, decode.loss_ce: 0.0397, decode.acc_seg: 88.9870, decode.kl_loss: 0.0612, loss: 0.1009 +2023-03-06 08:03:28,719 - mmseg - INFO - Iter [128450/160000] lr: 2.344e-06, eta: 2:10:21, time: 0.201, data_time: 0.007, memory: 52540, decode.loss_ce: 0.0414, decode.acc_seg: 88.5611, decode.kl_loss: 0.0638, loss: 0.1052 +2023-03-06 08:03:39,164 - mmseg - INFO - Iter [128500/160000] lr: 2.344e-06, eta: 2:10:09, time: 0.209, data_time: 0.007, memory: 52540, decode.loss_ce: 0.0418, decode.acc_seg: 88.4372, decode.kl_loss: 0.0665, loss: 0.1083 +2023-03-06 08:03:49,491 - mmseg - INFO - Iter [128550/160000] lr: 2.344e-06, eta: 2:09:56, time: 0.207, data_time: 0.007, memory: 52540, decode.loss_ce: 0.0416, decode.acc_seg: 88.5051, decode.kl_loss: 0.0632, loss: 0.1048 +2023-03-06 08:03:59,622 - mmseg - INFO - Iter [128600/160000] lr: 2.344e-06, eta: 2:09:43, time: 0.203, data_time: 0.007, memory: 52540, decode.loss_ce: 0.0408, decode.acc_seg: 88.6182, decode.kl_loss: 0.0636, loss: 0.1045 +2023-03-06 08:04:09,549 - mmseg - INFO - Iter [128650/160000] lr: 2.344e-06, eta: 2:09:30, time: 0.199, data_time: 0.007, memory: 52540, decode.loss_ce: 0.0412, decode.acc_seg: 88.5534, decode.kl_loss: 0.0643, loss: 0.1055 +2023-03-06 08:04:19,601 - mmseg - INFO - Iter [128700/160000] lr: 2.344e-06, eta: 2:09:17, time: 0.201, data_time: 0.007, memory: 52540, decode.loss_ce: 0.0409, decode.acc_seg: 88.5812, decode.kl_loss: 0.0623, loss: 0.1032 +2023-03-06 08:04:32,247 - mmseg - INFO - Iter [128750/160000] lr: 2.344e-06, eta: 2:09:04, time: 0.253, data_time: 0.054, memory: 52540, decode.loss_ce: 0.0413, decode.acc_seg: 88.5534, decode.kl_loss: 0.0632, loss: 0.1045 +2023-03-06 08:04:42,479 - mmseg - INFO - Iter [128800/160000] lr: 2.344e-06, eta: 2:08:52, time: 0.205, data_time: 0.007, memory: 52540, decode.loss_ce: 0.0408, decode.acc_seg: 88.5698, decode.kl_loss: 0.0625, loss: 0.1033 +2023-03-06 08:04:52,707 - mmseg - INFO - Iter [128850/160000] lr: 2.344e-06, eta: 2:08:39, time: 0.205, data_time: 0.007, memory: 52540, decode.loss_ce: 0.0410, decode.acc_seg: 88.3704, decode.kl_loss: 0.0667, loss: 0.1078 +2023-03-06 08:05:02,613 - mmseg - INFO - Iter [128900/160000] lr: 2.344e-06, eta: 2:08:26, time: 0.198, data_time: 0.007, memory: 52540, decode.loss_ce: 0.0428, decode.acc_seg: 88.3794, decode.kl_loss: 0.0627, loss: 0.1055 +2023-03-06 08:05:12,886 - mmseg - INFO - Iter [128950/160000] lr: 2.344e-06, eta: 2:08:13, time: 0.205, data_time: 0.007, memory: 52540, decode.loss_ce: 0.0404, decode.acc_seg: 88.7925, decode.kl_loss: 0.0637, loss: 0.1042 +2023-03-06 08:05:23,024 - mmseg - INFO - Exp name: ablation_segformer_mit_b2_segformer_head_unet_fc_small_multi_step_ade_pretrained_freeze_embed_160k_ade20k151_finetune_ema_ce.py +2023-03-06 08:05:23,024 - mmseg - INFO - Iter [129000/160000] lr: 2.344e-06, eta: 2:08:00, time: 0.202, data_time: 0.007, memory: 52540, decode.loss_ce: 0.0417, decode.acc_seg: 88.3862, decode.kl_loss: 0.0640, loss: 0.1057 +2023-03-06 08:05:33,206 - mmseg - INFO - Iter [129050/160000] lr: 2.344e-06, eta: 2:07:47, time: 0.204, data_time: 0.007, memory: 52540, decode.loss_ce: 0.0405, decode.acc_seg: 88.7508, decode.kl_loss: 0.0625, loss: 0.1030 +2023-03-06 08:05:43,471 - mmseg - INFO - Iter [129100/160000] lr: 2.344e-06, eta: 2:07:34, time: 0.205, data_time: 0.007, memory: 52540, decode.loss_ce: 0.0409, decode.acc_seg: 88.7286, decode.kl_loss: 0.0630, loss: 0.1038 +2023-03-06 08:05:53,687 - mmseg - INFO - Iter [129150/160000] lr: 2.344e-06, eta: 2:07:21, time: 0.204, data_time: 0.007, memory: 52540, decode.loss_ce: 0.0417, decode.acc_seg: 88.4966, decode.kl_loss: 0.0631, loss: 0.1048 +2023-03-06 08:06:03,746 - mmseg - INFO - Iter [129200/160000] lr: 2.344e-06, eta: 2:07:08, time: 0.201, data_time: 0.007, memory: 52540, decode.loss_ce: 0.0414, decode.acc_seg: 88.5963, decode.kl_loss: 0.0635, loss: 0.1049 +2023-03-06 08:06:13,851 - mmseg - INFO - Iter [129250/160000] lr: 2.344e-06, eta: 2:06:55, time: 0.202, data_time: 0.007, memory: 52540, decode.loss_ce: 0.0420, decode.acc_seg: 88.1746, decode.kl_loss: 0.0653, loss: 0.1073 +2023-03-06 08:06:24,026 - mmseg - INFO - Iter [129300/160000] lr: 2.344e-06, eta: 2:06:42, time: 0.203, data_time: 0.007, memory: 52540, decode.loss_ce: 0.0403, decode.acc_seg: 88.7228, decode.kl_loss: 0.0631, loss: 0.1034 +2023-03-06 08:06:33,906 - mmseg - INFO - Iter [129350/160000] lr: 2.344e-06, eta: 2:06:29, time: 0.198, data_time: 0.007, memory: 52540, decode.loss_ce: 0.0408, decode.acc_seg: 88.6439, decode.kl_loss: 0.0646, loss: 0.1055 +2023-03-06 08:06:46,440 - mmseg - INFO - Iter [129400/160000] lr: 2.344e-06, eta: 2:06:17, time: 0.251, data_time: 0.055, memory: 52540, decode.loss_ce: 0.0412, decode.acc_seg: 88.6620, decode.kl_loss: 0.0641, loss: 0.1052 +2023-03-06 08:06:56,481 - mmseg - INFO - Iter [129450/160000] lr: 2.344e-06, eta: 2:06:04, time: 0.201, data_time: 0.007, memory: 52540, decode.loss_ce: 0.0413, decode.acc_seg: 88.5989, decode.kl_loss: 0.0644, loss: 0.1056 +2023-03-06 08:07:06,672 - mmseg - INFO - Iter [129500/160000] lr: 2.344e-06, eta: 2:05:51, time: 0.204, data_time: 0.007, memory: 52540, decode.loss_ce: 0.0405, decode.acc_seg: 88.5861, decode.kl_loss: 0.0622, loss: 0.1027 +2023-03-06 08:07:16,699 - mmseg - INFO - Iter [129550/160000] lr: 2.344e-06, eta: 2:05:38, time: 0.201, data_time: 0.007, memory: 52540, decode.loss_ce: 0.0400, decode.acc_seg: 88.8343, decode.kl_loss: 0.0617, loss: 0.1017 +2023-03-06 08:07:26,805 - mmseg - INFO - Iter [129600/160000] lr: 2.344e-06, eta: 2:05:25, time: 0.202, data_time: 0.007, memory: 52540, decode.loss_ce: 0.0410, decode.acc_seg: 88.5999, decode.kl_loss: 0.0626, loss: 0.1037 +2023-03-06 08:07:36,891 - mmseg - INFO - Iter [129650/160000] lr: 2.344e-06, eta: 2:05:12, time: 0.202, data_time: 0.007, memory: 52540, decode.loss_ce: 0.0388, decode.acc_seg: 88.9447, decode.kl_loss: 0.0623, loss: 0.1010 +2023-03-06 08:07:47,061 - mmseg - INFO - Iter [129700/160000] lr: 2.344e-06, eta: 2:04:59, time: 0.203, data_time: 0.007, memory: 52540, decode.loss_ce: 0.0418, decode.acc_seg: 88.4084, decode.kl_loss: 0.0622, loss: 0.1040 +2023-03-06 08:07:57,190 - mmseg - INFO - Iter [129750/160000] lr: 2.344e-06, eta: 2:04:47, time: 0.203, data_time: 0.007, memory: 52540, decode.loss_ce: 0.0394, decode.acc_seg: 88.8942, decode.kl_loss: 0.0639, loss: 0.1033 +2023-03-06 08:08:07,326 - mmseg - INFO - Iter [129800/160000] lr: 2.344e-06, eta: 2:04:34, time: 0.203, data_time: 0.007, memory: 52540, decode.loss_ce: 0.0416, decode.acc_seg: 88.3797, decode.kl_loss: 0.0642, loss: 0.1058 +2023-03-06 08:08:17,290 - mmseg - INFO - Iter [129850/160000] lr: 2.344e-06, eta: 2:04:21, time: 0.199, data_time: 0.007, memory: 52540, decode.loss_ce: 0.0422, decode.acc_seg: 88.3340, decode.kl_loss: 0.0638, loss: 0.1060 +2023-03-06 08:08:27,324 - mmseg - INFO - Iter [129900/160000] lr: 2.344e-06, eta: 2:04:08, time: 0.200, data_time: 0.007, memory: 52540, decode.loss_ce: 0.0392, decode.acc_seg: 88.9279, decode.kl_loss: 0.0634, loss: 0.1026 +2023-03-06 08:08:37,574 - mmseg - INFO - Iter [129950/160000] lr: 2.344e-06, eta: 2:03:55, time: 0.205, data_time: 0.007, memory: 52540, decode.loss_ce: 0.0407, decode.acc_seg: 88.4858, decode.kl_loss: 0.0633, loss: 0.1040 +2023-03-06 08:08:50,284 - mmseg - INFO - Exp name: ablation_segformer_mit_b2_segformer_head_unet_fc_small_multi_step_ade_pretrained_freeze_embed_160k_ade20k151_finetune_ema_ce.py +2023-03-06 08:08:50,285 - mmseg - INFO - Iter [130000/160000] lr: 2.344e-06, eta: 2:03:43, time: 0.254, data_time: 0.054, memory: 52540, decode.loss_ce: 0.0414, decode.acc_seg: 88.5717, decode.kl_loss: 0.0627, loss: 0.1041 +2023-03-06 08:09:00,642 - mmseg - INFO - Iter [130050/160000] lr: 2.344e-06, eta: 2:03:30, time: 0.207, data_time: 0.008, memory: 52540, decode.loss_ce: 0.0410, decode.acc_seg: 88.5300, decode.kl_loss: 0.0613, loss: 0.1023 +2023-03-06 08:09:10,995 - mmseg - INFO - Iter [130100/160000] lr: 2.344e-06, eta: 2:03:17, time: 0.207, data_time: 0.007, memory: 52540, decode.loss_ce: 0.0404, decode.acc_seg: 88.5888, decode.kl_loss: 0.0622, loss: 0.1026 +2023-03-06 08:09:21,136 - mmseg - INFO - Iter [130150/160000] lr: 2.344e-06, eta: 2:03:04, time: 0.203, data_time: 0.007, memory: 52540, decode.loss_ce: 0.0393, decode.acc_seg: 88.9179, decode.kl_loss: 0.0626, loss: 0.1019 +2023-03-06 08:09:31,203 - mmseg - INFO - Iter [130200/160000] lr: 2.344e-06, eta: 2:02:51, time: 0.201, data_time: 0.007, memory: 52540, decode.loss_ce: 0.0399, decode.acc_seg: 88.7061, decode.kl_loss: 0.0636, loss: 0.1035 +2023-03-06 08:09:41,293 - mmseg - INFO - Iter [130250/160000] lr: 2.344e-06, eta: 2:02:38, time: 0.202, data_time: 0.007, memory: 52540, decode.loss_ce: 0.0414, decode.acc_seg: 88.5878, decode.kl_loss: 0.0614, loss: 0.1029 +2023-03-06 08:09:51,345 - mmseg - INFO - Iter [130300/160000] lr: 2.344e-06, eta: 2:02:25, time: 0.201, data_time: 0.007, memory: 52540, decode.loss_ce: 0.0408, decode.acc_seg: 88.6087, decode.kl_loss: 0.0626, loss: 0.1035 +2023-03-06 08:10:01,441 - mmseg - INFO - Iter [130350/160000] lr: 2.344e-06, eta: 2:02:13, time: 0.202, data_time: 0.007, memory: 52540, decode.loss_ce: 0.0411, decode.acc_seg: 88.7103, decode.kl_loss: 0.0629, loss: 0.1040 +2023-03-06 08:10:11,699 - mmseg - INFO - Iter [130400/160000] lr: 2.344e-06, eta: 2:02:00, time: 0.205, data_time: 0.007, memory: 52540, decode.loss_ce: 0.0382, decode.acc_seg: 89.3302, decode.kl_loss: 0.0608, loss: 0.0990 +2023-03-06 08:10:21,913 - mmseg - INFO - Iter [130450/160000] lr: 2.344e-06, eta: 2:01:47, time: 0.204, data_time: 0.007, memory: 52540, decode.loss_ce: 0.0399, decode.acc_seg: 88.9681, decode.kl_loss: 0.0627, loss: 0.1026 +2023-03-06 08:10:31,893 - mmseg - INFO - Iter [130500/160000] lr: 2.344e-06, eta: 2:01:34, time: 0.200, data_time: 0.007, memory: 52540, decode.loss_ce: 0.0391, decode.acc_seg: 89.0453, decode.kl_loss: 0.0638, loss: 0.1028 +2023-03-06 08:10:41,790 - mmseg - INFO - Iter [130550/160000] lr: 2.344e-06, eta: 2:01:21, time: 0.198, data_time: 0.007, memory: 52540, decode.loss_ce: 0.0391, decode.acc_seg: 89.1138, decode.kl_loss: 0.0611, loss: 0.1002 +2023-03-06 08:10:51,836 - mmseg - INFO - Iter [130600/160000] lr: 2.344e-06, eta: 2:01:08, time: 0.201, data_time: 0.007, memory: 52540, decode.loss_ce: 0.0398, decode.acc_seg: 88.7219, decode.kl_loss: 0.0636, loss: 0.1034 +2023-03-06 08:11:04,519 - mmseg - INFO - Iter [130650/160000] lr: 2.344e-06, eta: 2:00:56, time: 0.254, data_time: 0.055, memory: 52540, decode.loss_ce: 0.0394, decode.acc_seg: 89.0308, decode.kl_loss: 0.0600, loss: 0.0994 +2023-03-06 08:11:14,688 - mmseg - INFO - Iter [130700/160000] lr: 2.344e-06, eta: 2:00:43, time: 0.203, data_time: 0.007, memory: 52540, decode.loss_ce: 0.0405, decode.acc_seg: 88.8514, decode.kl_loss: 0.0622, loss: 0.1027 +2023-03-06 08:11:24,914 - mmseg - INFO - Iter [130750/160000] lr: 2.344e-06, eta: 2:00:30, time: 0.205, data_time: 0.007, memory: 52540, decode.loss_ce: 0.0392, decode.acc_seg: 88.9727, decode.kl_loss: 0.0635, loss: 0.1027 +2023-03-06 08:11:34,879 - mmseg - INFO - Iter [130800/160000] lr: 2.344e-06, eta: 2:00:17, time: 0.199, data_time: 0.007, memory: 52540, decode.loss_ce: 0.0398, decode.acc_seg: 88.8223, decode.kl_loss: 0.0652, loss: 0.1050 +2023-03-06 08:11:44,809 - mmseg - INFO - Iter [130850/160000] lr: 2.344e-06, eta: 2:00:04, time: 0.199, data_time: 0.007, memory: 52540, decode.loss_ce: 0.0400, decode.acc_seg: 88.9182, decode.kl_loss: 0.0640, loss: 0.1040 +2023-03-06 08:11:54,816 - mmseg - INFO - Iter [130900/160000] lr: 2.344e-06, eta: 1:59:51, time: 0.200, data_time: 0.007, memory: 52540, decode.loss_ce: 0.0385, decode.acc_seg: 89.0418, decode.kl_loss: 0.0640, loss: 0.1025 +2023-03-06 08:12:05,053 - mmseg - INFO - Iter [130950/160000] lr: 2.344e-06, eta: 1:59:39, time: 0.205, data_time: 0.007, memory: 52540, decode.loss_ce: 0.0404, decode.acc_seg: 88.6813, decode.kl_loss: 0.0635, loss: 0.1040 +2023-03-06 08:12:15,112 - mmseg - INFO - Exp name: ablation_segformer_mit_b2_segformer_head_unet_fc_small_multi_step_ade_pretrained_freeze_embed_160k_ade20k151_finetune_ema_ce.py +2023-03-06 08:12:15,112 - mmseg - INFO - Iter [131000/160000] lr: 2.344e-06, eta: 1:59:26, time: 0.201, data_time: 0.007, memory: 52540, decode.loss_ce: 0.0381, decode.acc_seg: 89.2721, decode.kl_loss: 0.0633, loss: 0.1015 +2023-03-06 08:12:25,171 - mmseg - INFO - Iter [131050/160000] lr: 2.344e-06, eta: 1:59:13, time: 0.201, data_time: 0.007, memory: 52540, decode.loss_ce: 0.0390, decode.acc_seg: 89.0976, decode.kl_loss: 0.0616, loss: 0.1006 +2023-03-06 08:12:35,132 - mmseg - INFO - Iter [131100/160000] lr: 2.344e-06, eta: 1:59:00, time: 0.199, data_time: 0.007, memory: 52540, decode.loss_ce: 0.0409, decode.acc_seg: 88.7144, decode.kl_loss: 0.0647, loss: 0.1055 +2023-03-06 08:12:45,195 - mmseg - INFO - Iter [131150/160000] lr: 2.344e-06, eta: 1:58:47, time: 0.201, data_time: 0.007, memory: 52540, decode.loss_ce: 0.0415, decode.acc_seg: 88.4475, decode.kl_loss: 0.0653, loss: 0.1068 +2023-03-06 08:12:55,188 - mmseg - INFO - Iter [131200/160000] lr: 2.344e-06, eta: 1:58:34, time: 0.200, data_time: 0.007, memory: 52540, decode.loss_ce: 0.0405, decode.acc_seg: 88.7470, decode.kl_loss: 0.0621, loss: 0.1026 +2023-03-06 08:13:08,043 - mmseg - INFO - Iter [131250/160000] lr: 2.344e-06, eta: 1:58:22, time: 0.257, data_time: 0.055, memory: 52540, decode.loss_ce: 0.0400, decode.acc_seg: 88.8595, decode.kl_loss: 0.0622, loss: 0.1022 +2023-03-06 08:13:18,067 - mmseg - INFO - Iter [131300/160000] lr: 2.344e-06, eta: 1:58:09, time: 0.200, data_time: 0.007, memory: 52540, decode.loss_ce: 0.0410, decode.acc_seg: 88.5635, decode.kl_loss: 0.0641, loss: 0.1051 +2023-03-06 08:13:28,199 - mmseg - INFO - Iter [131350/160000] lr: 2.344e-06, eta: 1:57:56, time: 0.203, data_time: 0.007, memory: 52540, decode.loss_ce: 0.0395, decode.acc_seg: 88.9745, decode.kl_loss: 0.0628, loss: 0.1023 +2023-03-06 08:13:38,136 - mmseg - INFO - Iter [131400/160000] lr: 2.344e-06, eta: 1:57:44, time: 0.199, data_time: 0.007, memory: 52540, decode.loss_ce: 0.0374, decode.acc_seg: 89.4052, decode.kl_loss: 0.0609, loss: 0.0983 +2023-03-06 08:13:48,298 - mmseg - INFO - Iter [131450/160000] lr: 2.344e-06, eta: 1:57:31, time: 0.203, data_time: 0.007, memory: 52540, decode.loss_ce: 0.0403, decode.acc_seg: 88.8158, decode.kl_loss: 0.0608, loss: 0.1012 +2023-03-06 08:13:58,382 - mmseg - INFO - Iter [131500/160000] lr: 2.344e-06, eta: 1:57:18, time: 0.202, data_time: 0.007, memory: 52540, decode.loss_ce: 0.0396, decode.acc_seg: 88.8877, decode.kl_loss: 0.0630, loss: 0.1026 +2023-03-06 08:14:08,288 - mmseg - INFO - Iter [131550/160000] lr: 2.344e-06, eta: 1:57:05, time: 0.198, data_time: 0.007, memory: 52540, decode.loss_ce: 0.0394, decode.acc_seg: 89.1020, decode.kl_loss: 0.0628, loss: 0.1021 +2023-03-06 08:14:18,290 - mmseg - INFO - Iter [131600/160000] lr: 2.344e-06, eta: 1:56:52, time: 0.200, data_time: 0.007, memory: 52540, decode.loss_ce: 0.0406, decode.acc_seg: 88.8468, decode.kl_loss: 0.0599, loss: 0.1005 +2023-03-06 08:14:28,594 - mmseg - INFO - Iter [131650/160000] lr: 2.344e-06, eta: 1:56:39, time: 0.206, data_time: 0.007, memory: 52540, decode.loss_ce: 0.0408, decode.acc_seg: 88.6840, decode.kl_loss: 0.0632, loss: 0.1040 +2023-03-06 08:14:38,584 - mmseg - INFO - Iter [131700/160000] lr: 2.344e-06, eta: 1:56:26, time: 0.200, data_time: 0.007, memory: 52540, decode.loss_ce: 0.0396, decode.acc_seg: 88.9144, decode.kl_loss: 0.0636, loss: 0.1033 +2023-03-06 08:14:48,497 - mmseg - INFO - Iter [131750/160000] lr: 2.344e-06, eta: 1:56:14, time: 0.198, data_time: 0.007, memory: 52540, decode.loss_ce: 0.0388, decode.acc_seg: 89.1003, decode.kl_loss: 0.0610, loss: 0.0998 +2023-03-06 08:14:58,422 - mmseg - INFO - Iter [131800/160000] lr: 2.344e-06, eta: 1:56:01, time: 0.198, data_time: 0.007, memory: 52540, decode.loss_ce: 0.0390, decode.acc_seg: 89.0390, decode.kl_loss: 0.0603, loss: 0.0993 +2023-03-06 08:15:08,473 - mmseg - INFO - Iter [131850/160000] lr: 2.344e-06, eta: 1:55:48, time: 0.201, data_time: 0.007, memory: 52540, decode.loss_ce: 0.0387, decode.acc_seg: 89.2487, decode.kl_loss: 0.0591, loss: 0.0978 +2023-03-06 08:15:20,906 - mmseg - INFO - Iter [131900/160000] lr: 2.344e-06, eta: 1:55:36, time: 0.249, data_time: 0.056, memory: 52540, decode.loss_ce: 0.0377, decode.acc_seg: 89.3407, decode.kl_loss: 0.0605, loss: 0.0981 +2023-03-06 08:15:31,153 - mmseg - INFO - Iter [131950/160000] lr: 2.344e-06, eta: 1:55:23, time: 0.205, data_time: 0.007, memory: 52540, decode.loss_ce: 0.0390, decode.acc_seg: 89.2220, decode.kl_loss: 0.0600, loss: 0.0990 +2023-03-06 08:15:41,083 - mmseg - INFO - Exp name: ablation_segformer_mit_b2_segformer_head_unet_fc_small_multi_step_ade_pretrained_freeze_embed_160k_ade20k151_finetune_ema_ce.py +2023-03-06 08:15:41,083 - mmseg - INFO - Iter [132000/160000] lr: 2.344e-06, eta: 1:55:10, time: 0.199, data_time: 0.008, memory: 52540, decode.loss_ce: 0.0389, decode.acc_seg: 89.1570, decode.kl_loss: 0.0580, loss: 0.0970 +2023-03-06 08:15:51,071 - mmseg - INFO - Iter [132050/160000] lr: 2.344e-06, eta: 1:54:57, time: 0.200, data_time: 0.007, memory: 52540, decode.loss_ce: 0.0400, decode.acc_seg: 88.8196, decode.kl_loss: 0.0629, loss: 0.1029 +2023-03-06 08:16:01,247 - mmseg - INFO - Iter [132100/160000] lr: 2.344e-06, eta: 1:54:44, time: 0.204, data_time: 0.007, memory: 52540, decode.loss_ce: 0.0391, decode.acc_seg: 89.0981, decode.kl_loss: 0.0607, loss: 0.0998 +2023-03-06 08:16:11,368 - mmseg - INFO - Iter [132150/160000] lr: 2.344e-06, eta: 1:54:32, time: 0.202, data_time: 0.007, memory: 52540, decode.loss_ce: 0.0395, decode.acc_seg: 89.0349, decode.kl_loss: 0.0616, loss: 0.1010 +2023-03-06 08:16:21,414 - mmseg - INFO - Iter [132200/160000] lr: 2.344e-06, eta: 1:54:19, time: 0.201, data_time: 0.007, memory: 52540, decode.loss_ce: 0.0374, decode.acc_seg: 89.4479, decode.kl_loss: 0.0594, loss: 0.0968 +2023-03-06 08:16:31,477 - mmseg - INFO - Iter [132250/160000] lr: 2.344e-06, eta: 1:54:06, time: 0.201, data_time: 0.007, memory: 52540, decode.loss_ce: 0.0387, decode.acc_seg: 89.1900, decode.kl_loss: 0.0621, loss: 0.1007 +2023-03-06 08:16:41,439 - mmseg - INFO - Iter [132300/160000] lr: 2.344e-06, eta: 1:53:53, time: 0.199, data_time: 0.007, memory: 52540, decode.loss_ce: 0.0397, decode.acc_seg: 89.0310, decode.kl_loss: 0.0625, loss: 0.1022 +2023-03-06 08:16:51,394 - mmseg - INFO - Iter [132350/160000] lr: 2.344e-06, eta: 1:53:40, time: 0.199, data_time: 0.007, memory: 52540, decode.loss_ce: 0.0382, decode.acc_seg: 89.2945, decode.kl_loss: 0.0597, loss: 0.0979 +2023-03-06 08:17:01,374 - mmseg - INFO - Iter [132400/160000] lr: 2.344e-06, eta: 1:53:27, time: 0.200, data_time: 0.007, memory: 52540, decode.loss_ce: 0.0403, decode.acc_seg: 88.8531, decode.kl_loss: 0.0607, loss: 0.1011 +2023-03-06 08:17:11,625 - mmseg - INFO - Iter [132450/160000] lr: 2.344e-06, eta: 1:53:15, time: 0.205, data_time: 0.007, memory: 52540, decode.loss_ce: 0.0384, decode.acc_seg: 89.0043, decode.kl_loss: 0.0620, loss: 0.1004 +2023-03-06 08:17:21,585 - mmseg - INFO - Iter [132500/160000] lr: 2.344e-06, eta: 1:53:02, time: 0.199, data_time: 0.007, memory: 52540, decode.loss_ce: 0.0405, decode.acc_seg: 88.7556, decode.kl_loss: 0.0621, loss: 0.1026 +2023-03-06 08:17:34,188 - mmseg - INFO - Iter [132550/160000] lr: 2.344e-06, eta: 1:52:50, time: 0.252, data_time: 0.058, memory: 52540, decode.loss_ce: 0.0374, decode.acc_seg: 89.3965, decode.kl_loss: 0.0593, loss: 0.0967 +2023-03-06 08:17:44,223 - mmseg - INFO - Iter [132600/160000] lr: 2.344e-06, eta: 1:52:37, time: 0.201, data_time: 0.007, memory: 52540, decode.loss_ce: 0.0393, decode.acc_seg: 89.0685, decode.kl_loss: 0.0621, loss: 0.1014 +2023-03-06 08:17:54,139 - mmseg - INFO - Iter [132650/160000] lr: 2.344e-06, eta: 1:52:24, time: 0.198, data_time: 0.007, memory: 52540, decode.loss_ce: 0.0378, decode.acc_seg: 89.2997, decode.kl_loss: 0.0597, loss: 0.0976 +2023-03-06 08:18:04,451 - mmseg - INFO - Iter [132700/160000] lr: 2.344e-06, eta: 1:52:11, time: 0.206, data_time: 0.007, memory: 52540, decode.loss_ce: 0.0394, decode.acc_seg: 89.1499, decode.kl_loss: 0.0595, loss: 0.0989 +2023-03-06 08:18:14,483 - mmseg - INFO - Iter [132750/160000] lr: 2.344e-06, eta: 1:51:58, time: 0.201, data_time: 0.007, memory: 52540, decode.loss_ce: 0.0390, decode.acc_seg: 89.1198, decode.kl_loss: 0.0601, loss: 0.0990 +2023-03-06 08:18:24,978 - mmseg - INFO - Iter [132800/160000] lr: 2.344e-06, eta: 1:51:46, time: 0.210, data_time: 0.008, memory: 52540, decode.loss_ce: 0.0403, decode.acc_seg: 88.7606, decode.kl_loss: 0.0602, loss: 0.1005 +2023-03-06 08:18:35,044 - mmseg - INFO - Iter [132850/160000] lr: 2.344e-06, eta: 1:51:33, time: 0.201, data_time: 0.007, memory: 52540, decode.loss_ce: 0.0393, decode.acc_seg: 88.9700, decode.kl_loss: 0.0615, loss: 0.1008 +2023-03-06 08:18:45,059 - mmseg - INFO - Iter [132900/160000] lr: 2.344e-06, eta: 1:51:20, time: 0.200, data_time: 0.007, memory: 52540, decode.loss_ce: 0.0381, decode.acc_seg: 89.3712, decode.kl_loss: 0.0595, loss: 0.0977 +2023-03-06 08:18:55,368 - mmseg - INFO - Iter [132950/160000] lr: 2.344e-06, eta: 1:51:07, time: 0.206, data_time: 0.007, memory: 52540, decode.loss_ce: 0.0386, decode.acc_seg: 89.2566, decode.kl_loss: 0.0590, loss: 0.0975 +2023-03-06 08:19:05,470 - mmseg - INFO - Exp name: ablation_segformer_mit_b2_segformer_head_unet_fc_small_multi_step_ade_pretrained_freeze_embed_160k_ade20k151_finetune_ema_ce.py +2023-03-06 08:19:05,470 - mmseg - INFO - Iter [133000/160000] lr: 2.344e-06, eta: 1:50:55, time: 0.202, data_time: 0.007, memory: 52540, decode.loss_ce: 0.0391, decode.acc_seg: 89.0702, decode.kl_loss: 0.0631, loss: 0.1022 +2023-03-06 08:19:15,714 - mmseg - INFO - Iter [133050/160000] lr: 2.344e-06, eta: 1:50:42, time: 0.205, data_time: 0.007, memory: 52540, decode.loss_ce: 0.0390, decode.acc_seg: 89.0374, decode.kl_loss: 0.0623, loss: 0.1013 +2023-03-06 08:19:25,716 - mmseg - INFO - Iter [133100/160000] lr: 2.344e-06, eta: 1:50:29, time: 0.200, data_time: 0.007, memory: 52540, decode.loss_ce: 0.0388, decode.acc_seg: 89.0446, decode.kl_loss: 0.0624, loss: 0.1013 +2023-03-06 08:19:38,079 - mmseg - INFO - Iter [133150/160000] lr: 2.344e-06, eta: 1:50:17, time: 0.247, data_time: 0.053, memory: 52540, decode.loss_ce: 0.0399, decode.acc_seg: 88.9508, decode.kl_loss: 0.0597, loss: 0.0996 +2023-03-06 08:19:48,246 - mmseg - INFO - Iter [133200/160000] lr: 2.344e-06, eta: 1:50:04, time: 0.203, data_time: 0.007, memory: 52540, decode.loss_ce: 0.0382, decode.acc_seg: 89.1350, decode.kl_loss: 0.0596, loss: 0.0978 +2023-03-06 08:19:58,533 - mmseg - INFO - Iter [133250/160000] lr: 2.344e-06, eta: 1:49:51, time: 0.206, data_time: 0.007, memory: 52540, decode.loss_ce: 0.0381, decode.acc_seg: 89.2019, decode.kl_loss: 0.0620, loss: 0.1001 +2023-03-06 08:20:08,553 - mmseg - INFO - Iter [133300/160000] lr: 2.344e-06, eta: 1:49:38, time: 0.200, data_time: 0.007, memory: 52540, decode.loss_ce: 0.0399, decode.acc_seg: 88.8358, decode.kl_loss: 0.0614, loss: 0.1013 +2023-03-06 08:20:18,496 - mmseg - INFO - Iter [133350/160000] lr: 2.344e-06, eta: 1:49:26, time: 0.199, data_time: 0.007, memory: 52540, decode.loss_ce: 0.0387, decode.acc_seg: 89.1304, decode.kl_loss: 0.0605, loss: 0.0992 +2023-03-06 08:20:28,832 - mmseg - INFO - Iter [133400/160000] lr: 2.344e-06, eta: 1:49:13, time: 0.207, data_time: 0.007, memory: 52540, decode.loss_ce: 0.0385, decode.acc_seg: 89.2632, decode.kl_loss: 0.0621, loss: 0.1006 +2023-03-06 08:20:38,738 - mmseg - INFO - Iter [133450/160000] lr: 2.344e-06, eta: 1:49:00, time: 0.198, data_time: 0.007, memory: 52540, decode.loss_ce: 0.0389, decode.acc_seg: 89.0314, decode.kl_loss: 0.0605, loss: 0.0994 +2023-03-06 08:20:48,754 - mmseg - INFO - Iter [133500/160000] lr: 2.344e-06, eta: 1:48:47, time: 0.200, data_time: 0.007, memory: 52540, decode.loss_ce: 0.0387, decode.acc_seg: 89.0716, decode.kl_loss: 0.0617, loss: 0.1005 +2023-03-06 08:20:58,793 - mmseg - INFO - Iter [133550/160000] lr: 2.344e-06, eta: 1:48:35, time: 0.201, data_time: 0.007, memory: 52540, decode.loss_ce: 0.0374, decode.acc_seg: 89.3521, decode.kl_loss: 0.0610, loss: 0.0984 +2023-03-06 08:21:08,782 - mmseg - INFO - Iter [133600/160000] lr: 2.344e-06, eta: 1:48:22, time: 0.200, data_time: 0.007, memory: 52540, decode.loss_ce: 0.0385, decode.acc_seg: 89.2420, decode.kl_loss: 0.0602, loss: 0.0987 +2023-03-06 08:21:18,996 - mmseg - INFO - Iter [133650/160000] lr: 2.344e-06, eta: 1:48:09, time: 0.204, data_time: 0.007, memory: 52540, decode.loss_ce: 0.0391, decode.acc_seg: 89.0256, decode.kl_loss: 0.0604, loss: 0.0995 +2023-03-06 08:21:29,107 - mmseg - INFO - Iter [133700/160000] lr: 2.344e-06, eta: 1:47:56, time: 0.202, data_time: 0.007, memory: 52540, decode.loss_ce: 0.0393, decode.acc_seg: 89.0692, decode.kl_loss: 0.0605, loss: 0.0998 +2023-03-06 08:21:39,022 - mmseg - INFO - Iter [133750/160000] lr: 2.344e-06, eta: 1:47:44, time: 0.198, data_time: 0.007, memory: 52540, decode.loss_ce: 0.0378, decode.acc_seg: 89.4251, decode.kl_loss: 0.0588, loss: 0.0966 +2023-03-06 08:21:51,469 - mmseg - INFO - Iter [133800/160000] lr: 2.344e-06, eta: 1:47:31, time: 0.249, data_time: 0.055, memory: 52540, decode.loss_ce: 0.0375, decode.acc_seg: 89.5598, decode.kl_loss: 0.0590, loss: 0.0965 +2023-03-06 08:22:01,713 - mmseg - INFO - Iter [133850/160000] lr: 2.344e-06, eta: 1:47:19, time: 0.205, data_time: 0.007, memory: 52540, decode.loss_ce: 0.0407, decode.acc_seg: 88.9637, decode.kl_loss: 0.0624, loss: 0.1030 +2023-03-06 08:22:11,798 - mmseg - INFO - Iter [133900/160000] lr: 2.344e-06, eta: 1:47:06, time: 0.202, data_time: 0.007, memory: 52540, decode.loss_ce: 0.0380, decode.acc_seg: 89.3579, decode.kl_loss: 0.0618, loss: 0.0997 +2023-03-06 08:22:21,958 - mmseg - INFO - Iter [133950/160000] lr: 2.344e-06, eta: 1:46:53, time: 0.203, data_time: 0.007, memory: 52540, decode.loss_ce: 0.0394, decode.acc_seg: 89.0845, decode.kl_loss: 0.0621, loss: 0.1015 +2023-03-06 08:22:31,923 - mmseg - INFO - Exp name: ablation_segformer_mit_b2_segformer_head_unet_fc_small_multi_step_ade_pretrained_freeze_embed_160k_ade20k151_finetune_ema_ce.py +2023-03-06 08:22:31,923 - mmseg - INFO - Iter [134000/160000] lr: 2.344e-06, eta: 1:46:40, time: 0.199, data_time: 0.007, memory: 52540, decode.loss_ce: 0.0367, decode.acc_seg: 89.5034, decode.kl_loss: 0.0608, loss: 0.0976 +2023-03-06 08:22:42,090 - mmseg - INFO - Iter [134050/160000] lr: 2.344e-06, eta: 1:46:28, time: 0.204, data_time: 0.007, memory: 52540, decode.loss_ce: 0.0370, decode.acc_seg: 89.4057, decode.kl_loss: 0.0631, loss: 0.1000 +2023-03-06 08:22:52,148 - mmseg - INFO - Iter [134100/160000] lr: 2.344e-06, eta: 1:46:15, time: 0.201, data_time: 0.007, memory: 52540, decode.loss_ce: 0.0383, decode.acc_seg: 89.2702, decode.kl_loss: 0.0605, loss: 0.0989 +2023-03-06 08:23:02,066 - mmseg - INFO - Iter [134150/160000] lr: 2.344e-06, eta: 1:46:02, time: 0.198, data_time: 0.007, memory: 52540, decode.loss_ce: 0.0410, decode.acc_seg: 88.6687, decode.kl_loss: 0.0623, loss: 0.1032 +2023-03-06 08:23:12,127 - mmseg - INFO - Iter [134200/160000] lr: 2.344e-06, eta: 1:45:49, time: 0.201, data_time: 0.007, memory: 52540, decode.loss_ce: 0.0390, decode.acc_seg: 89.1395, decode.kl_loss: 0.0614, loss: 0.1004 +2023-03-06 08:23:22,512 - mmseg - INFO - Iter [134250/160000] lr: 2.344e-06, eta: 1:45:37, time: 0.208, data_time: 0.007, memory: 52540, decode.loss_ce: 0.0407, decode.acc_seg: 88.8497, decode.kl_loss: 0.0630, loss: 0.1036 +2023-03-06 08:23:32,435 - mmseg - INFO - Iter [134300/160000] lr: 2.344e-06, eta: 1:45:24, time: 0.198, data_time: 0.007, memory: 52540, decode.loss_ce: 0.0400, decode.acc_seg: 88.8584, decode.kl_loss: 0.0628, loss: 0.1028 +2023-03-06 08:23:42,630 - mmseg - INFO - Iter [134350/160000] lr: 2.344e-06, eta: 1:45:11, time: 0.204, data_time: 0.007, memory: 52540, decode.loss_ce: 0.0392, decode.acc_seg: 89.1524, decode.kl_loss: 0.0606, loss: 0.0998 +2023-03-06 08:23:52,783 - mmseg - INFO - Iter [134400/160000] lr: 2.344e-06, eta: 1:44:58, time: 0.203, data_time: 0.007, memory: 52540, decode.loss_ce: 0.0381, decode.acc_seg: 89.2715, decode.kl_loss: 0.0625, loss: 0.1006 +2023-03-06 08:24:05,417 - mmseg - INFO - Iter [134450/160000] lr: 2.344e-06, eta: 1:44:46, time: 0.253, data_time: 0.054, memory: 52540, decode.loss_ce: 0.0394, decode.acc_seg: 89.1123, decode.kl_loss: 0.0616, loss: 0.1010 +2023-03-06 08:24:15,404 - mmseg - INFO - Iter [134500/160000] lr: 2.344e-06, eta: 1:44:33, time: 0.200, data_time: 0.007, memory: 52540, decode.loss_ce: 0.0397, decode.acc_seg: 88.9368, decode.kl_loss: 0.0622, loss: 0.1018 +2023-03-06 08:24:25,527 - mmseg - INFO - Iter [134550/160000] lr: 2.344e-06, eta: 1:44:21, time: 0.202, data_time: 0.007, memory: 52540, decode.loss_ce: 0.0394, decode.acc_seg: 89.0443, decode.kl_loss: 0.0608, loss: 0.1002 +2023-03-06 08:24:35,541 - mmseg - INFO - Iter [134600/160000] lr: 2.344e-06, eta: 1:44:08, time: 0.200, data_time: 0.007, memory: 52540, decode.loss_ce: 0.0383, decode.acc_seg: 89.2364, decode.kl_loss: 0.0611, loss: 0.0995 +2023-03-06 08:24:45,813 - mmseg - INFO - Iter [134650/160000] lr: 2.344e-06, eta: 1:43:55, time: 0.205, data_time: 0.007, memory: 52540, decode.loss_ce: 0.0385, decode.acc_seg: 89.2794, decode.kl_loss: 0.0605, loss: 0.0990 +2023-03-06 08:24:55,846 - mmseg - INFO - Iter [134700/160000] lr: 2.344e-06, eta: 1:43:43, time: 0.201, data_time: 0.007, memory: 52540, decode.loss_ce: 0.0369, decode.acc_seg: 89.4414, decode.kl_loss: 0.0619, loss: 0.0988 +2023-03-06 08:25:05,794 - mmseg - INFO - Iter [134750/160000] lr: 2.344e-06, eta: 1:43:30, time: 0.199, data_time: 0.007, memory: 52540, decode.loss_ce: 0.0370, decode.acc_seg: 89.5088, decode.kl_loss: 0.0605, loss: 0.0975 +2023-03-06 08:25:15,936 - mmseg - INFO - Iter [134800/160000] lr: 2.344e-06, eta: 1:43:17, time: 0.203, data_time: 0.007, memory: 52540, decode.loss_ce: 0.0392, decode.acc_seg: 88.9712, decode.kl_loss: 0.0621, loss: 0.1013 +2023-03-06 08:25:26,073 - mmseg - INFO - Iter [134850/160000] lr: 2.344e-06, eta: 1:43:04, time: 0.203, data_time: 0.008, memory: 52540, decode.loss_ce: 0.0376, decode.acc_seg: 89.4373, decode.kl_loss: 0.0584, loss: 0.0960 +2023-03-06 08:25:36,073 - mmseg - INFO - Iter [134900/160000] lr: 2.344e-06, eta: 1:42:52, time: 0.200, data_time: 0.007, memory: 52540, decode.loss_ce: 0.0379, decode.acc_seg: 89.2629, decode.kl_loss: 0.0613, loss: 0.0992 +2023-03-06 08:25:45,979 - mmseg - INFO - Iter [134950/160000] lr: 2.344e-06, eta: 1:42:39, time: 0.198, data_time: 0.007, memory: 52540, decode.loss_ce: 0.0389, decode.acc_seg: 89.1873, decode.kl_loss: 0.0612, loss: 0.1001 +2023-03-06 08:25:55,901 - mmseg - INFO - Exp name: ablation_segformer_mit_b2_segformer_head_unet_fc_small_multi_step_ade_pretrained_freeze_embed_160k_ade20k151_finetune_ema_ce.py +2023-03-06 08:25:55,902 - mmseg - INFO - Iter [135000/160000] lr: 2.344e-06, eta: 1:42:26, time: 0.198, data_time: 0.007, memory: 52540, decode.loss_ce: 0.0391, decode.acc_seg: 89.1097, decode.kl_loss: 0.0619, loss: 0.1010 +2023-03-06 08:26:08,352 - mmseg - INFO - Iter [135050/160000] lr: 2.344e-06, eta: 1:42:14, time: 0.249, data_time: 0.055, memory: 52540, decode.loss_ce: 0.0376, decode.acc_seg: 89.5041, decode.kl_loss: 0.0590, loss: 0.0966 +2023-03-06 08:26:18,291 - mmseg - INFO - Iter [135100/160000] lr: 2.344e-06, eta: 1:42:01, time: 0.199, data_time: 0.007, memory: 52540, decode.loss_ce: 0.0404, decode.acc_seg: 88.8289, decode.kl_loss: 0.0612, loss: 0.1016 +2023-03-06 08:26:28,598 - mmseg - INFO - Iter [135150/160000] lr: 2.344e-06, eta: 1:41:49, time: 0.206, data_time: 0.007, memory: 52540, decode.loss_ce: 0.0404, decode.acc_seg: 88.7044, decode.kl_loss: 0.0624, loss: 0.1027 +2023-03-06 08:26:38,670 - mmseg - INFO - Iter [135200/160000] lr: 2.344e-06, eta: 1:41:36, time: 0.202, data_time: 0.008, memory: 52540, decode.loss_ce: 0.0400, decode.acc_seg: 88.9883, decode.kl_loss: 0.0618, loss: 0.1018 +2023-03-06 08:26:48,797 - mmseg - INFO - Iter [135250/160000] lr: 2.344e-06, eta: 1:41:23, time: 0.203, data_time: 0.007, memory: 52540, decode.loss_ce: 0.0394, decode.acc_seg: 88.8347, decode.kl_loss: 0.0650, loss: 0.1044 +2023-03-06 08:26:58,792 - mmseg - INFO - Iter [135300/160000] lr: 2.344e-06, eta: 1:41:11, time: 0.200, data_time: 0.007, memory: 52540, decode.loss_ce: 0.0386, decode.acc_seg: 89.1152, decode.kl_loss: 0.0623, loss: 0.1009 +2023-03-06 08:27:08,806 - mmseg - INFO - Iter [135350/160000] lr: 2.344e-06, eta: 1:40:58, time: 0.200, data_time: 0.007, memory: 52540, decode.loss_ce: 0.0375, decode.acc_seg: 89.4131, decode.kl_loss: 0.0601, loss: 0.0976 +2023-03-06 08:27:19,121 - mmseg - INFO - Iter [135400/160000] lr: 2.344e-06, eta: 1:40:45, time: 0.206, data_time: 0.007, memory: 52540, decode.loss_ce: 0.0386, decode.acc_seg: 89.2448, decode.kl_loss: 0.0629, loss: 0.1015 +2023-03-06 08:27:29,163 - mmseg - INFO - Iter [135450/160000] lr: 2.344e-06, eta: 1:40:32, time: 0.201, data_time: 0.007, memory: 52540, decode.loss_ce: 0.0376, decode.acc_seg: 89.3172, decode.kl_loss: 0.0607, loss: 0.0982 +2023-03-06 08:27:39,129 - mmseg - INFO - Iter [135500/160000] lr: 2.344e-06, eta: 1:40:20, time: 0.199, data_time: 0.007, memory: 52540, decode.loss_ce: 0.0383, decode.acc_seg: 89.2073, decode.kl_loss: 0.0610, loss: 0.0993 +2023-03-06 08:27:49,313 - mmseg - INFO - Iter [135550/160000] lr: 2.344e-06, eta: 1:40:07, time: 0.204, data_time: 0.007, memory: 52540, decode.loss_ce: 0.0382, decode.acc_seg: 89.1631, decode.kl_loss: 0.0618, loss: 0.1000 +2023-03-06 08:27:59,338 - mmseg - INFO - Iter [135600/160000] lr: 2.344e-06, eta: 1:39:54, time: 0.200, data_time: 0.007, memory: 52540, decode.loss_ce: 0.0383, decode.acc_seg: 89.2147, decode.kl_loss: 0.0613, loss: 0.0995 +2023-03-06 08:28:09,408 - mmseg - INFO - Iter [135650/160000] lr: 2.344e-06, eta: 1:39:42, time: 0.201, data_time: 0.007, memory: 52540, decode.loss_ce: 0.0393, decode.acc_seg: 89.2110, decode.kl_loss: 0.0606, loss: 0.0999 +2023-03-06 08:28:22,434 - mmseg - INFO - Iter [135700/160000] lr: 2.344e-06, eta: 1:39:30, time: 0.261, data_time: 0.053, memory: 52540, decode.loss_ce: 0.0373, decode.acc_seg: 89.4798, decode.kl_loss: 0.0602, loss: 0.0974 +2023-03-06 08:28:32,470 - mmseg - INFO - Iter [135750/160000] lr: 2.344e-06, eta: 1:39:17, time: 0.200, data_time: 0.007, memory: 52540, decode.loss_ce: 0.0370, decode.acc_seg: 89.4633, decode.kl_loss: 0.0621, loss: 0.0991 +2023-03-06 08:28:42,780 - mmseg - INFO - Iter [135800/160000] lr: 2.344e-06, eta: 1:39:04, time: 0.206, data_time: 0.007, memory: 52540, decode.loss_ce: 0.0386, decode.acc_seg: 89.1086, decode.kl_loss: 0.0592, loss: 0.0978 +2023-03-06 08:28:52,928 - mmseg - INFO - Iter [135850/160000] lr: 2.344e-06, eta: 1:38:52, time: 0.203, data_time: 0.007, memory: 52540, decode.loss_ce: 0.0389, decode.acc_seg: 89.0396, decode.kl_loss: 0.0609, loss: 0.0997 +2023-03-06 08:29:03,014 - mmseg - INFO - Iter [135900/160000] lr: 2.344e-06, eta: 1:38:39, time: 0.202, data_time: 0.007, memory: 52540, decode.loss_ce: 0.0385, decode.acc_seg: 89.2818, decode.kl_loss: 0.0610, loss: 0.0995 +2023-03-06 08:29:13,137 - mmseg - INFO - Iter [135950/160000] lr: 2.344e-06, eta: 1:38:26, time: 0.202, data_time: 0.007, memory: 52540, decode.loss_ce: 0.0380, decode.acc_seg: 89.2906, decode.kl_loss: 0.0612, loss: 0.0992 +2023-03-06 08:29:23,253 - mmseg - INFO - Exp name: ablation_segformer_mit_b2_segformer_head_unet_fc_small_multi_step_ade_pretrained_freeze_embed_160k_ade20k151_finetune_ema_ce.py +2023-03-06 08:29:23,253 - mmseg - INFO - Iter [136000/160000] lr: 2.344e-06, eta: 1:38:14, time: 0.202, data_time: 0.007, memory: 52540, decode.loss_ce: 0.0376, decode.acc_seg: 89.4461, decode.kl_loss: 0.0626, loss: 0.1001 +2023-03-06 08:29:33,216 - mmseg - INFO - Iter [136050/160000] lr: 2.344e-06, eta: 1:38:01, time: 0.199, data_time: 0.007, memory: 52540, decode.loss_ce: 0.0383, decode.acc_seg: 89.1985, decode.kl_loss: 0.0635, loss: 0.1018 +2023-03-06 08:29:43,221 - mmseg - INFO - Iter [136100/160000] lr: 2.344e-06, eta: 1:37:48, time: 0.200, data_time: 0.007, memory: 52540, decode.loss_ce: 0.0395, decode.acc_seg: 88.9124, decode.kl_loss: 0.0612, loss: 0.1007 +2023-03-06 08:29:53,134 - mmseg - INFO - Iter [136150/160000] lr: 2.344e-06, eta: 1:37:36, time: 0.198, data_time: 0.007, memory: 52540, decode.loss_ce: 0.0395, decode.acc_seg: 88.9975, decode.kl_loss: 0.0618, loss: 0.1013 +2023-03-06 08:30:03,177 - mmseg - INFO - Iter [136200/160000] lr: 2.344e-06, eta: 1:37:23, time: 0.201, data_time: 0.007, memory: 52540, decode.loss_ce: 0.0382, decode.acc_seg: 89.3448, decode.kl_loss: 0.0623, loss: 0.1005 +2023-03-06 08:30:13,191 - mmseg - INFO - Iter [136250/160000] lr: 2.344e-06, eta: 1:37:10, time: 0.200, data_time: 0.007, memory: 52540, decode.loss_ce: 0.0388, decode.acc_seg: 89.1462, decode.kl_loss: 0.0615, loss: 0.1003 +2023-03-06 08:30:25,581 - mmseg - INFO - Iter [136300/160000] lr: 2.344e-06, eta: 1:36:58, time: 0.248, data_time: 0.056, memory: 52540, decode.loss_ce: 0.0382, decode.acc_seg: 89.0637, decode.kl_loss: 0.0647, loss: 0.1029 +2023-03-06 08:30:35,622 - mmseg - INFO - Iter [136350/160000] lr: 2.344e-06, eta: 1:36:45, time: 0.201, data_time: 0.007, memory: 52540, decode.loss_ce: 0.0386, decode.acc_seg: 89.1963, decode.kl_loss: 0.0632, loss: 0.1018 +2023-03-06 08:30:45,935 - mmseg - INFO - Iter [136400/160000] lr: 2.344e-06, eta: 1:36:33, time: 0.206, data_time: 0.007, memory: 52540, decode.loss_ce: 0.0387, decode.acc_seg: 89.0343, decode.kl_loss: 0.0621, loss: 0.1009 +2023-03-06 08:30:56,103 - mmseg - INFO - Iter [136450/160000] lr: 2.344e-06, eta: 1:36:20, time: 0.203, data_time: 0.007, memory: 52540, decode.loss_ce: 0.0385, decode.acc_seg: 89.0900, decode.kl_loss: 0.0644, loss: 0.1029 +2023-03-06 08:31:06,120 - mmseg - INFO - Iter [136500/160000] lr: 2.344e-06, eta: 1:36:07, time: 0.201, data_time: 0.008, memory: 52540, decode.loss_ce: 0.0389, decode.acc_seg: 89.0902, decode.kl_loss: 0.0631, loss: 0.1020 +2023-03-06 08:31:16,194 - mmseg - INFO - Iter [136550/160000] lr: 2.344e-06, eta: 1:35:55, time: 0.201, data_time: 0.007, memory: 52540, decode.loss_ce: 0.0395, decode.acc_seg: 88.7014, decode.kl_loss: 0.0653, loss: 0.1048 +2023-03-06 08:31:26,190 - mmseg - INFO - Iter [136600/160000] lr: 2.344e-06, eta: 1:35:42, time: 0.200, data_time: 0.008, memory: 52540, decode.loss_ce: 0.0385, decode.acc_seg: 89.1642, decode.kl_loss: 0.0646, loss: 0.1031 +2023-03-06 08:31:36,285 - mmseg - INFO - Iter [136650/160000] lr: 2.344e-06, eta: 1:35:29, time: 0.202, data_time: 0.007, memory: 52540, decode.loss_ce: 0.0382, decode.acc_seg: 89.1903, decode.kl_loss: 0.0633, loss: 0.1016 +2023-03-06 08:31:46,317 - mmseg - INFO - Iter [136700/160000] lr: 2.344e-06, eta: 1:35:17, time: 0.201, data_time: 0.007, memory: 52540, decode.loss_ce: 0.0399, decode.acc_seg: 88.7795, decode.kl_loss: 0.0647, loss: 0.1046 +2023-03-06 08:31:56,491 - mmseg - INFO - Iter [136750/160000] lr: 2.344e-06, eta: 1:35:04, time: 0.203, data_time: 0.007, memory: 52540, decode.loss_ce: 0.0385, decode.acc_seg: 89.1595, decode.kl_loss: 0.0634, loss: 0.1019 +2023-03-06 08:32:06,565 - mmseg - INFO - Iter [136800/160000] lr: 2.344e-06, eta: 1:34:52, time: 0.201, data_time: 0.007, memory: 52540, decode.loss_ce: 0.0381, decode.acc_seg: 89.3401, decode.kl_loss: 0.0619, loss: 0.1000 +2023-03-06 08:32:16,703 - mmseg - INFO - Iter [136850/160000] lr: 2.344e-06, eta: 1:34:39, time: 0.203, data_time: 0.007, memory: 52540, decode.loss_ce: 0.0395, decode.acc_seg: 89.0771, decode.kl_loss: 0.0610, loss: 0.1005 +2023-03-06 08:32:26,682 - mmseg - INFO - Iter [136900/160000] lr: 2.344e-06, eta: 1:34:26, time: 0.200, data_time: 0.008, memory: 52540, decode.loss_ce: 0.0382, decode.acc_seg: 89.1936, decode.kl_loss: 0.0629, loss: 0.1012 +2023-03-06 08:32:39,138 - mmseg - INFO - Iter [136950/160000] lr: 2.344e-06, eta: 1:34:14, time: 0.249, data_time: 0.058, memory: 52540, decode.loss_ce: 0.0400, decode.acc_seg: 89.0468, decode.kl_loss: 0.0633, loss: 0.1033 +2023-03-06 08:32:49,196 - mmseg - INFO - Exp name: ablation_segformer_mit_b2_segformer_head_unet_fc_small_multi_step_ade_pretrained_freeze_embed_160k_ade20k151_finetune_ema_ce.py +2023-03-06 08:32:49,196 - mmseg - INFO - Iter [137000/160000] lr: 2.344e-06, eta: 1:34:01, time: 0.201, data_time: 0.007, memory: 52540, decode.loss_ce: 0.0397, decode.acc_seg: 88.7683, decode.kl_loss: 0.0653, loss: 0.1050 +2023-03-06 08:32:59,150 - mmseg - INFO - Iter [137050/160000] lr: 2.344e-06, eta: 1:33:49, time: 0.199, data_time: 0.007, memory: 52540, decode.loss_ce: 0.0387, decode.acc_seg: 89.1078, decode.kl_loss: 0.0637, loss: 0.1024 +2023-03-06 08:33:09,399 - mmseg - INFO - Iter [137100/160000] lr: 2.344e-06, eta: 1:33:36, time: 0.205, data_time: 0.007, memory: 52540, decode.loss_ce: 0.0388, decode.acc_seg: 89.1240, decode.kl_loss: 0.0643, loss: 0.1031 +2023-03-06 08:33:19,302 - mmseg - INFO - Iter [137150/160000] lr: 2.344e-06, eta: 1:33:23, time: 0.198, data_time: 0.007, memory: 52540, decode.loss_ce: 0.0384, decode.acc_seg: 89.3391, decode.kl_loss: 0.0620, loss: 0.1004 +2023-03-06 08:33:29,252 - mmseg - INFO - Iter [137200/160000] lr: 2.344e-06, eta: 1:33:11, time: 0.199, data_time: 0.007, memory: 52540, decode.loss_ce: 0.0396, decode.acc_seg: 88.9794, decode.kl_loss: 0.0626, loss: 0.1022 +2023-03-06 08:33:39,337 - mmseg - INFO - Iter [137250/160000] lr: 2.344e-06, eta: 1:32:58, time: 0.202, data_time: 0.007, memory: 52540, decode.loss_ce: 0.0382, decode.acc_seg: 89.0991, decode.kl_loss: 0.0633, loss: 0.1015 +2023-03-06 08:33:49,326 - mmseg - INFO - Iter [137300/160000] lr: 2.344e-06, eta: 1:32:46, time: 0.200, data_time: 0.007, memory: 52540, decode.loss_ce: 0.0396, decode.acc_seg: 88.9304, decode.kl_loss: 0.0640, loss: 0.1036 +2023-03-06 08:33:59,222 - mmseg - INFO - Iter [137350/160000] lr: 2.344e-06, eta: 1:32:33, time: 0.198, data_time: 0.007, memory: 52540, decode.loss_ce: 0.0389, decode.acc_seg: 89.0165, decode.kl_loss: 0.0625, loss: 0.1013 +2023-03-06 08:34:09,332 - mmseg - INFO - Iter [137400/160000] lr: 2.344e-06, eta: 1:32:20, time: 0.202, data_time: 0.007, memory: 52540, decode.loss_ce: 0.0401, decode.acc_seg: 88.6732, decode.kl_loss: 0.0658, loss: 0.1059 +2023-03-06 08:34:19,446 - mmseg - INFO - Iter [137450/160000] lr: 2.344e-06, eta: 1:32:08, time: 0.202, data_time: 0.008, memory: 52540, decode.loss_ce: 0.0377, decode.acc_seg: 89.3294, decode.kl_loss: 0.0620, loss: 0.0997 +2023-03-06 08:34:29,511 - mmseg - INFO - Iter [137500/160000] lr: 2.344e-06, eta: 1:31:55, time: 0.201, data_time: 0.007, memory: 52540, decode.loss_ce: 0.0410, decode.acc_seg: 88.4780, decode.kl_loss: 0.0641, loss: 0.1052 +2023-03-06 08:34:39,628 - mmseg - INFO - Iter [137550/160000] lr: 2.344e-06, eta: 1:31:42, time: 0.202, data_time: 0.007, memory: 52540, decode.loss_ce: 0.0395, decode.acc_seg: 89.0125, decode.kl_loss: 0.0629, loss: 0.1024 +2023-03-06 08:34:52,634 - mmseg - INFO - Iter [137600/160000] lr: 2.344e-06, eta: 1:31:30, time: 0.260, data_time: 0.056, memory: 52540, decode.loss_ce: 0.0385, decode.acc_seg: 88.9696, decode.kl_loss: 0.0633, loss: 0.1018 +2023-03-06 08:35:02,715 - mmseg - INFO - Iter [137650/160000] lr: 2.344e-06, eta: 1:31:18, time: 0.201, data_time: 0.007, memory: 52540, decode.loss_ce: 0.0380, decode.acc_seg: 89.3339, decode.kl_loss: 0.0628, loss: 0.1008 +2023-03-06 08:35:12,834 - mmseg - INFO - Iter [137700/160000] lr: 2.344e-06, eta: 1:31:05, time: 0.203, data_time: 0.007, memory: 52540, decode.loss_ce: 0.0384, decode.acc_seg: 89.1661, decode.kl_loss: 0.0628, loss: 0.1012 +2023-03-06 08:35:22,822 - mmseg - INFO - Iter [137750/160000] lr: 2.344e-06, eta: 1:30:52, time: 0.200, data_time: 0.007, memory: 52540, decode.loss_ce: 0.0385, decode.acc_seg: 88.9707, decode.kl_loss: 0.0657, loss: 0.1042 +2023-03-06 08:35:32,873 - mmseg - INFO - Iter [137800/160000] lr: 2.344e-06, eta: 1:30:40, time: 0.201, data_time: 0.007, memory: 52540, decode.loss_ce: 0.0385, decode.acc_seg: 89.2471, decode.kl_loss: 0.0635, loss: 0.1020 +2023-03-06 08:35:42,927 - mmseg - INFO - Iter [137850/160000] lr: 2.344e-06, eta: 1:30:27, time: 0.201, data_time: 0.007, memory: 52540, decode.loss_ce: 0.0387, decode.acc_seg: 89.0114, decode.kl_loss: 0.0639, loss: 0.1025 +2023-03-06 08:35:52,979 - mmseg - INFO - Iter [137900/160000] lr: 2.344e-06, eta: 1:30:15, time: 0.201, data_time: 0.007, memory: 52540, decode.loss_ce: 0.0415, decode.acc_seg: 88.5169, decode.kl_loss: 0.0649, loss: 0.1064 +2023-03-06 08:36:03,153 - mmseg - INFO - Iter [137950/160000] lr: 2.344e-06, eta: 1:30:02, time: 0.203, data_time: 0.007, memory: 52540, decode.loss_ce: 0.0398, decode.acc_seg: 89.0010, decode.kl_loss: 0.0678, loss: 0.1076 +2023-03-06 08:36:13,101 - mmseg - INFO - Exp name: ablation_segformer_mit_b2_segformer_head_unet_fc_small_multi_step_ade_pretrained_freeze_embed_160k_ade20k151_finetune_ema_ce.py +2023-03-06 08:36:13,101 - mmseg - INFO - Iter [138000/160000] lr: 2.344e-06, eta: 1:29:49, time: 0.199, data_time: 0.007, memory: 52540, decode.loss_ce: 0.0399, decode.acc_seg: 88.8506, decode.kl_loss: 0.0639, loss: 0.1038 +2023-03-06 08:36:23,203 - mmseg - INFO - Iter [138050/160000] lr: 2.344e-06, eta: 1:29:37, time: 0.202, data_time: 0.007, memory: 52540, decode.loss_ce: 0.0393, decode.acc_seg: 88.9423, decode.kl_loss: 0.0650, loss: 0.1043 +2023-03-06 08:36:33,349 - mmseg - INFO - Iter [138100/160000] lr: 2.344e-06, eta: 1:29:24, time: 0.203, data_time: 0.007, memory: 52540, decode.loss_ce: 0.0384, decode.acc_seg: 89.1620, decode.kl_loss: 0.0629, loss: 0.1013 +2023-03-06 08:36:43,402 - mmseg - INFO - Iter [138150/160000] lr: 2.344e-06, eta: 1:29:12, time: 0.201, data_time: 0.007, memory: 52540, decode.loss_ce: 0.0399, decode.acc_seg: 88.9131, decode.kl_loss: 0.0644, loss: 0.1043 +2023-03-06 08:36:55,910 - mmseg - INFO - Iter [138200/160000] lr: 2.344e-06, eta: 1:29:00, time: 0.250, data_time: 0.056, memory: 52540, decode.loss_ce: 0.0377, decode.acc_seg: 89.2154, decode.kl_loss: 0.0639, loss: 0.1016 +2023-03-06 08:37:06,189 - mmseg - INFO - Iter [138250/160000] lr: 2.344e-06, eta: 1:28:47, time: 0.206, data_time: 0.007, memory: 52540, decode.loss_ce: 0.0397, decode.acc_seg: 88.9650, decode.kl_loss: 0.0642, loss: 0.1038 +2023-03-06 08:37:16,355 - mmseg - INFO - Iter [138300/160000] lr: 2.344e-06, eta: 1:28:34, time: 0.203, data_time: 0.007, memory: 52540, decode.loss_ce: 0.0392, decode.acc_seg: 89.0122, decode.kl_loss: 0.0635, loss: 0.1027 +2023-03-06 08:37:26,419 - mmseg - INFO - Iter [138350/160000] lr: 2.344e-06, eta: 1:28:22, time: 0.201, data_time: 0.007, memory: 52540, decode.loss_ce: 0.0376, decode.acc_seg: 89.3675, decode.kl_loss: 0.0610, loss: 0.0986 +2023-03-06 08:37:36,531 - mmseg - INFO - Iter [138400/160000] lr: 2.344e-06, eta: 1:28:09, time: 0.202, data_time: 0.007, memory: 52540, decode.loss_ce: 0.0399, decode.acc_seg: 88.7695, decode.kl_loss: 0.0651, loss: 0.1050 +2023-03-06 08:37:46,666 - mmseg - INFO - Iter [138450/160000] lr: 2.344e-06, eta: 1:27:57, time: 0.203, data_time: 0.007, memory: 52540, decode.loss_ce: 0.0397, decode.acc_seg: 88.8809, decode.kl_loss: 0.0645, loss: 0.1043 +2023-03-06 08:37:56,832 - mmseg - INFO - Iter [138500/160000] lr: 2.344e-06, eta: 1:27:44, time: 0.203, data_time: 0.007, memory: 52540, decode.loss_ce: 0.0382, decode.acc_seg: 89.1016, decode.kl_loss: 0.0630, loss: 0.1012 +2023-03-06 08:38:06,908 - mmseg - INFO - Iter [138550/160000] lr: 2.344e-06, eta: 1:27:31, time: 0.202, data_time: 0.007, memory: 52540, decode.loss_ce: 0.0401, decode.acc_seg: 88.8313, decode.kl_loss: 0.0648, loss: 0.1048 +2023-03-06 08:38:16,799 - mmseg - INFO - Iter [138600/160000] lr: 2.344e-06, eta: 1:27:19, time: 0.198, data_time: 0.007, memory: 52540, decode.loss_ce: 0.0382, decode.acc_seg: 89.3093, decode.kl_loss: 0.0620, loss: 0.1002 +2023-03-06 08:38:26,960 - mmseg - INFO - Iter [138650/160000] lr: 2.344e-06, eta: 1:27:06, time: 0.203, data_time: 0.007, memory: 52540, decode.loss_ce: 0.0394, decode.acc_seg: 88.8702, decode.kl_loss: 0.0639, loss: 0.1033 +2023-03-06 08:38:37,030 - mmseg - INFO - Iter [138700/160000] lr: 2.344e-06, eta: 1:26:54, time: 0.201, data_time: 0.007, memory: 52540, decode.loss_ce: 0.0392, decode.acc_seg: 89.0590, decode.kl_loss: 0.0637, loss: 0.1029 +2023-03-06 08:38:47,459 - mmseg - INFO - Iter [138750/160000] lr: 2.344e-06, eta: 1:26:41, time: 0.209, data_time: 0.007, memory: 52540, decode.loss_ce: 0.0392, decode.acc_seg: 88.8572, decode.kl_loss: 0.0650, loss: 0.1041 +2023-03-06 08:38:57,375 - mmseg - INFO - Iter [138800/160000] lr: 2.344e-06, eta: 1:26:29, time: 0.198, data_time: 0.007, memory: 52540, decode.loss_ce: 0.0401, decode.acc_seg: 88.6272, decode.kl_loss: 0.0669, loss: 0.1070 +2023-03-06 08:39:09,884 - mmseg - INFO - Iter [138850/160000] lr: 2.344e-06, eta: 1:26:16, time: 0.250, data_time: 0.055, memory: 52540, decode.loss_ce: 0.0383, decode.acc_seg: 89.2338, decode.kl_loss: 0.0629, loss: 0.1013 +2023-03-06 08:39:20,135 - mmseg - INFO - Iter [138900/160000] lr: 2.344e-06, eta: 1:26:04, time: 0.205, data_time: 0.007, memory: 52540, decode.loss_ce: 0.0391, decode.acc_seg: 89.0905, decode.kl_loss: 0.0631, loss: 0.1022 +2023-03-06 08:39:30,645 - mmseg - INFO - Iter [138950/160000] lr: 2.344e-06, eta: 1:25:51, time: 0.210, data_time: 0.007, memory: 52540, decode.loss_ce: 0.0392, decode.acc_seg: 88.9587, decode.kl_loss: 0.0655, loss: 0.1046 +2023-03-06 08:39:40,902 - mmseg - INFO - Exp name: ablation_segformer_mit_b2_segformer_head_unet_fc_small_multi_step_ade_pretrained_freeze_embed_160k_ade20k151_finetune_ema_ce.py +2023-03-06 08:39:40,902 - mmseg - INFO - Iter [139000/160000] lr: 2.344e-06, eta: 1:25:39, time: 0.205, data_time: 0.007, memory: 52540, decode.loss_ce: 0.0400, decode.acc_seg: 88.7842, decode.kl_loss: 0.0640, loss: 0.1040 +2023-03-06 08:39:51,167 - mmseg - INFO - Iter [139050/160000] lr: 2.344e-06, eta: 1:25:26, time: 0.205, data_time: 0.007, memory: 52540, decode.loss_ce: 0.0390, decode.acc_seg: 89.0456, decode.kl_loss: 0.0644, loss: 0.1035 +2023-03-06 08:40:01,188 - mmseg - INFO - Iter [139100/160000] lr: 2.344e-06, eta: 1:25:14, time: 0.201, data_time: 0.007, memory: 52540, decode.loss_ce: 0.0395, decode.acc_seg: 88.8789, decode.kl_loss: 0.0654, loss: 0.1049 +2023-03-06 08:40:11,357 - mmseg - INFO - Iter [139150/160000] lr: 2.344e-06, eta: 1:25:01, time: 0.203, data_time: 0.007, memory: 52540, decode.loss_ce: 0.0387, decode.acc_seg: 89.0825, decode.kl_loss: 0.0635, loss: 0.1022 +2023-03-06 08:40:21,332 - mmseg - INFO - Iter [139200/160000] lr: 2.344e-06, eta: 1:24:49, time: 0.199, data_time: 0.007, memory: 52540, decode.loss_ce: 0.0396, decode.acc_seg: 88.8003, decode.kl_loss: 0.0646, loss: 0.1042 +2023-03-06 08:40:31,269 - mmseg - INFO - Iter [139250/160000] lr: 2.344e-06, eta: 1:24:36, time: 0.199, data_time: 0.007, memory: 52540, decode.loss_ce: 0.0376, decode.acc_seg: 89.2831, decode.kl_loss: 0.0622, loss: 0.0998 +2023-03-06 08:40:41,405 - mmseg - INFO - Iter [139300/160000] lr: 2.344e-06, eta: 1:24:24, time: 0.203, data_time: 0.007, memory: 52540, decode.loss_ce: 0.0394, decode.acc_seg: 88.9763, decode.kl_loss: 0.0645, loss: 0.1038 +2023-03-06 08:40:51,497 - mmseg - INFO - Iter [139350/160000] lr: 2.344e-06, eta: 1:24:11, time: 0.202, data_time: 0.007, memory: 52540, decode.loss_ce: 0.0390, decode.acc_seg: 89.0605, decode.kl_loss: 0.0641, loss: 0.1031 +2023-03-06 08:41:01,520 - mmseg - INFO - Iter [139400/160000] lr: 2.344e-06, eta: 1:23:58, time: 0.200, data_time: 0.007, memory: 52540, decode.loss_ce: 0.0390, decode.acc_seg: 88.9346, decode.kl_loss: 0.0651, loss: 0.1042 +2023-03-06 08:41:11,519 - mmseg - INFO - Iter [139450/160000] lr: 2.344e-06, eta: 1:23:46, time: 0.200, data_time: 0.007, memory: 52540, decode.loss_ce: 0.0403, decode.acc_seg: 88.6831, decode.kl_loss: 0.0653, loss: 0.1056 +2023-03-06 08:41:24,103 - mmseg - INFO - Iter [139500/160000] lr: 2.344e-06, eta: 1:23:34, time: 0.252, data_time: 0.053, memory: 52540, decode.loss_ce: 0.0408, decode.acc_seg: 88.7106, decode.kl_loss: 0.0630, loss: 0.1038 +2023-03-06 08:41:34,321 - mmseg - INFO - Iter [139550/160000] lr: 2.344e-06, eta: 1:23:21, time: 0.204, data_time: 0.007, memory: 52540, decode.loss_ce: 0.0403, decode.acc_seg: 88.7961, decode.kl_loss: 0.0624, loss: 0.1026 +2023-03-06 08:41:44,270 - mmseg - INFO - Iter [139600/160000] lr: 2.344e-06, eta: 1:23:09, time: 0.199, data_time: 0.007, memory: 52540, decode.loss_ce: 0.0388, decode.acc_seg: 89.0205, decode.kl_loss: 0.0625, loss: 0.1013 +2023-03-06 08:41:54,259 - mmseg - INFO - Iter [139650/160000] lr: 2.344e-06, eta: 1:22:56, time: 0.200, data_time: 0.007, memory: 52540, decode.loss_ce: 0.0390, decode.acc_seg: 89.0130, decode.kl_loss: 0.0646, loss: 0.1036 +2023-03-06 08:42:04,401 - mmseg - INFO - Iter [139700/160000] lr: 2.344e-06, eta: 1:22:44, time: 0.203, data_time: 0.007, memory: 52540, decode.loss_ce: 0.0394, decode.acc_seg: 88.8847, decode.kl_loss: 0.0637, loss: 0.1032 +2023-03-06 08:42:14,408 - mmseg - INFO - Iter [139750/160000] lr: 2.344e-06, eta: 1:22:31, time: 0.200, data_time: 0.007, memory: 52540, decode.loss_ce: 0.0395, decode.acc_seg: 88.7955, decode.kl_loss: 0.0652, loss: 0.1047 +2023-03-06 08:42:24,413 - mmseg - INFO - Iter [139800/160000] lr: 2.344e-06, eta: 1:22:18, time: 0.200, data_time: 0.007, memory: 52540, decode.loss_ce: 0.0379, decode.acc_seg: 89.2946, decode.kl_loss: 0.0623, loss: 0.1002 +2023-03-06 08:42:34,350 - mmseg - INFO - Iter [139850/160000] lr: 2.344e-06, eta: 1:22:06, time: 0.199, data_time: 0.007, memory: 52540, decode.loss_ce: 0.0401, decode.acc_seg: 88.7594, decode.kl_loss: 0.0651, loss: 0.1052 +2023-03-06 08:42:44,403 - mmseg - INFO - Iter [139900/160000] lr: 2.344e-06, eta: 1:21:53, time: 0.201, data_time: 0.007, memory: 52540, decode.loss_ce: 0.0392, decode.acc_seg: 88.9320, decode.kl_loss: 0.0667, loss: 0.1060 +2023-03-06 08:42:54,677 - mmseg - INFO - Iter [139950/160000] lr: 2.344e-06, eta: 1:21:41, time: 0.205, data_time: 0.007, memory: 52540, decode.loss_ce: 0.0389, decode.acc_seg: 89.1058, decode.kl_loss: 0.0652, loss: 0.1041 +2023-03-06 08:43:05,063 - mmseg - INFO - Exp name: ablation_segformer_mit_b2_segformer_head_unet_fc_small_multi_step_ade_pretrained_freeze_embed_160k_ade20k151_finetune_ema_ce.py +2023-03-06 08:43:05,063 - mmseg - INFO - Iter [140000/160000] lr: 2.344e-06, eta: 1:21:28, time: 0.207, data_time: 0.007, memory: 52540, decode.loss_ce: 0.0397, decode.acc_seg: 88.7806, decode.kl_loss: 0.0676, loss: 0.1073 +2023-03-06 08:43:15,149 - mmseg - INFO - Iter [140050/160000] lr: 1.172e-06, eta: 1:21:16, time: 0.202, data_time: 0.007, memory: 52540, decode.loss_ce: 0.0403, decode.acc_seg: 88.5559, decode.kl_loss: 0.0670, loss: 0.1074 +2023-03-06 08:43:27,857 - mmseg - INFO - Iter [140100/160000] lr: 1.172e-06, eta: 1:21:04, time: 0.254, data_time: 0.055, memory: 52540, decode.loss_ce: 0.0407, decode.acc_seg: 88.8458, decode.kl_loss: 0.0635, loss: 0.1041 +2023-03-06 08:43:38,025 - mmseg - INFO - Iter [140150/160000] lr: 1.172e-06, eta: 1:20:51, time: 0.203, data_time: 0.007, memory: 52540, decode.loss_ce: 0.0389, decode.acc_seg: 88.9914, decode.kl_loss: 0.0641, loss: 0.1030 +2023-03-06 08:43:48,073 - mmseg - INFO - Iter [140200/160000] lr: 1.172e-06, eta: 1:20:39, time: 0.201, data_time: 0.008, memory: 52540, decode.loss_ce: 0.0398, decode.acc_seg: 88.8330, decode.kl_loss: 0.0649, loss: 0.1047 +2023-03-06 08:43:58,251 - mmseg - INFO - Iter [140250/160000] lr: 1.172e-06, eta: 1:20:26, time: 0.204, data_time: 0.007, memory: 52540, decode.loss_ce: 0.0398, decode.acc_seg: 88.7949, decode.kl_loss: 0.0644, loss: 0.1042 +2023-03-06 08:44:08,364 - mmseg - INFO - Iter [140300/160000] lr: 1.172e-06, eta: 1:20:14, time: 0.202, data_time: 0.007, memory: 52540, decode.loss_ce: 0.0387, decode.acc_seg: 88.9283, decode.kl_loss: 0.0667, loss: 0.1054 +2023-03-06 08:44:18,645 - mmseg - INFO - Iter [140350/160000] lr: 1.172e-06, eta: 1:20:01, time: 0.206, data_time: 0.007, memory: 52540, decode.loss_ce: 0.0397, decode.acc_seg: 88.9885, decode.kl_loss: 0.0651, loss: 0.1048 +2023-03-06 08:44:28,756 - mmseg - INFO - Iter [140400/160000] lr: 1.172e-06, eta: 1:19:49, time: 0.202, data_time: 0.007, memory: 52540, decode.loss_ce: 0.0399, decode.acc_seg: 88.8857, decode.kl_loss: 0.0631, loss: 0.1030 +2023-03-06 08:44:38,795 - mmseg - INFO - Iter [140450/160000] lr: 1.172e-06, eta: 1:19:36, time: 0.201, data_time: 0.008, memory: 52540, decode.loss_ce: 0.0396, decode.acc_seg: 88.8629, decode.kl_loss: 0.0667, loss: 0.1063 +2023-03-06 08:44:49,032 - mmseg - INFO - Iter [140500/160000] lr: 1.172e-06, eta: 1:19:24, time: 0.205, data_time: 0.007, memory: 52540, decode.loss_ce: 0.0387, decode.acc_seg: 88.9982, decode.kl_loss: 0.0667, loss: 0.1054 +2023-03-06 08:44:58,993 - mmseg - INFO - Iter [140550/160000] lr: 1.172e-06, eta: 1:19:11, time: 0.199, data_time: 0.007, memory: 52540, decode.loss_ce: 0.0392, decode.acc_seg: 88.9922, decode.kl_loss: 0.0662, loss: 0.1054 +2023-03-06 08:45:09,066 - mmseg - INFO - Iter [140600/160000] lr: 1.172e-06, eta: 1:18:59, time: 0.201, data_time: 0.007, memory: 52540, decode.loss_ce: 0.0381, decode.acc_seg: 89.1690, decode.kl_loss: 0.0653, loss: 0.1034 +2023-03-06 08:45:19,227 - mmseg - INFO - Iter [140650/160000] lr: 1.172e-06, eta: 1:18:46, time: 0.203, data_time: 0.007, memory: 52540, decode.loss_ce: 0.0402, decode.acc_seg: 88.8216, decode.kl_loss: 0.0659, loss: 0.1061 +2023-03-06 08:45:29,375 - mmseg - INFO - Iter [140700/160000] lr: 1.172e-06, eta: 1:18:34, time: 0.203, data_time: 0.007, memory: 52540, decode.loss_ce: 0.0392, decode.acc_seg: 88.9080, decode.kl_loss: 0.0677, loss: 0.1069 +2023-03-06 08:45:41,930 - mmseg - INFO - Iter [140750/160000] lr: 1.172e-06, eta: 1:18:21, time: 0.251, data_time: 0.056, memory: 52540, decode.loss_ce: 0.0387, decode.acc_seg: 89.0126, decode.kl_loss: 0.0659, loss: 0.1046 +2023-03-06 08:45:51,907 - mmseg - INFO - Iter [140800/160000] lr: 1.172e-06, eta: 1:18:09, time: 0.200, data_time: 0.007, memory: 52540, decode.loss_ce: 0.0386, decode.acc_seg: 89.1513, decode.kl_loss: 0.0652, loss: 0.1038 +2023-03-06 08:46:01,976 - mmseg - INFO - Iter [140850/160000] lr: 1.172e-06, eta: 1:17:56, time: 0.201, data_time: 0.007, memory: 52540, decode.loss_ce: 0.0384, decode.acc_seg: 89.2231, decode.kl_loss: 0.0632, loss: 0.1016 +2023-03-06 08:46:11,968 - mmseg - INFO - Iter [140900/160000] lr: 1.172e-06, eta: 1:17:44, time: 0.200, data_time: 0.007, memory: 52540, decode.loss_ce: 0.0377, decode.acc_seg: 89.2827, decode.kl_loss: 0.0667, loss: 0.1044 +2023-03-06 08:46:21,972 - mmseg - INFO - Iter [140950/160000] lr: 1.172e-06, eta: 1:17:31, time: 0.200, data_time: 0.007, memory: 52540, decode.loss_ce: 0.0396, decode.acc_seg: 88.9471, decode.kl_loss: 0.0667, loss: 0.1063 +2023-03-06 08:46:32,158 - mmseg - INFO - Exp name: ablation_segformer_mit_b2_segformer_head_unet_fc_small_multi_step_ade_pretrained_freeze_embed_160k_ade20k151_finetune_ema_ce.py +2023-03-06 08:46:32,158 - mmseg - INFO - Iter [141000/160000] lr: 1.172e-06, eta: 1:17:19, time: 0.203, data_time: 0.007, memory: 52540, decode.loss_ce: 0.0401, decode.acc_seg: 88.8728, decode.kl_loss: 0.0658, loss: 0.1058 +2023-03-06 08:46:42,331 - mmseg - INFO - Iter [141050/160000] lr: 1.172e-06, eta: 1:17:06, time: 0.204, data_time: 0.008, memory: 52540, decode.loss_ce: 0.0397, decode.acc_seg: 88.8362, decode.kl_loss: 0.0666, loss: 0.1062 +2023-03-06 08:46:52,441 - mmseg - INFO - Iter [141100/160000] lr: 1.172e-06, eta: 1:16:54, time: 0.202, data_time: 0.007, memory: 52540, decode.loss_ce: 0.0383, decode.acc_seg: 89.0556, decode.kl_loss: 0.0683, loss: 0.1066 +2023-03-06 08:47:02,773 - mmseg - INFO - Iter [141150/160000] lr: 1.172e-06, eta: 1:16:41, time: 0.206, data_time: 0.007, memory: 52540, decode.loss_ce: 0.0395, decode.acc_seg: 89.0410, decode.kl_loss: 0.0657, loss: 0.1052 +2023-03-06 08:47:12,944 - mmseg - INFO - Iter [141200/160000] lr: 1.172e-06, eta: 1:16:29, time: 0.204, data_time: 0.007, memory: 52540, decode.loss_ce: 0.0388, decode.acc_seg: 89.0300, decode.kl_loss: 0.0651, loss: 0.1039 +2023-03-06 08:47:23,351 - mmseg - INFO - Iter [141250/160000] lr: 1.172e-06, eta: 1:16:17, time: 0.208, data_time: 0.008, memory: 52540, decode.loss_ce: 0.0389, decode.acc_seg: 89.0129, decode.kl_loss: 0.0692, loss: 0.1081 +2023-03-06 08:47:33,503 - mmseg - INFO - Iter [141300/160000] lr: 1.172e-06, eta: 1:16:04, time: 0.203, data_time: 0.007, memory: 52540, decode.loss_ce: 0.0393, decode.acc_seg: 88.8833, decode.kl_loss: 0.0697, loss: 0.1090 +2023-03-06 08:47:46,312 - mmseg - INFO - Iter [141350/160000] lr: 1.172e-06, eta: 1:15:52, time: 0.256, data_time: 0.057, memory: 52540, decode.loss_ce: 0.0400, decode.acc_seg: 88.8132, decode.kl_loss: 0.0666, loss: 0.1067 +2023-03-06 08:47:56,268 - mmseg - INFO - Iter [141400/160000] lr: 1.172e-06, eta: 1:15:39, time: 0.199, data_time: 0.007, memory: 52540, decode.loss_ce: 0.0406, decode.acc_seg: 88.6599, decode.kl_loss: 0.0687, loss: 0.1093 +2023-03-06 08:48:06,360 - mmseg - INFO - Iter [141450/160000] lr: 1.172e-06, eta: 1:15:27, time: 0.202, data_time: 0.007, memory: 52540, decode.loss_ce: 0.0387, decode.acc_seg: 89.2259, decode.kl_loss: 0.0675, loss: 0.1062 +2023-03-06 08:48:16,480 - mmseg - INFO - Iter [141500/160000] lr: 1.172e-06, eta: 1:15:14, time: 0.202, data_time: 0.007, memory: 52540, decode.loss_ce: 0.0385, decode.acc_seg: 89.0816, decode.kl_loss: 0.0655, loss: 0.1040 +2023-03-06 08:48:26,668 - mmseg - INFO - Iter [141550/160000] lr: 1.172e-06, eta: 1:15:02, time: 0.204, data_time: 0.008, memory: 52540, decode.loss_ce: 0.0383, decode.acc_seg: 89.2605, decode.kl_loss: 0.0663, loss: 0.1046 +2023-03-06 08:48:36,798 - mmseg - INFO - Iter [141600/160000] lr: 1.172e-06, eta: 1:14:50, time: 0.203, data_time: 0.007, memory: 52540, decode.loss_ce: 0.0397, decode.acc_seg: 88.9367, decode.kl_loss: 0.0641, loss: 0.1038 +2023-03-06 08:48:46,748 - mmseg - INFO - Iter [141650/160000] lr: 1.172e-06, eta: 1:14:37, time: 0.199, data_time: 0.007, memory: 52540, decode.loss_ce: 0.0397, decode.acc_seg: 88.6157, decode.kl_loss: 0.0689, loss: 0.1086 +2023-03-06 08:48:57,054 - mmseg - INFO - Iter [141700/160000] lr: 1.172e-06, eta: 1:14:25, time: 0.206, data_time: 0.008, memory: 52540, decode.loss_ce: 0.0405, decode.acc_seg: 88.6162, decode.kl_loss: 0.0682, loss: 0.1088 +2023-03-06 08:49:07,132 - mmseg - INFO - Iter [141750/160000] lr: 1.172e-06, eta: 1:14:12, time: 0.202, data_time: 0.007, memory: 52540, decode.loss_ce: 0.0387, decode.acc_seg: 89.0514, decode.kl_loss: 0.0684, loss: 0.1071 +2023-03-06 08:49:17,066 - mmseg - INFO - Iter [141800/160000] lr: 1.172e-06, eta: 1:14:00, time: 0.199, data_time: 0.007, memory: 52540, decode.loss_ce: 0.0385, decode.acc_seg: 89.1132, decode.kl_loss: 0.0680, loss: 0.1065 +2023-03-06 08:49:27,026 - mmseg - INFO - Iter [141850/160000] lr: 1.172e-06, eta: 1:13:47, time: 0.199, data_time: 0.007, memory: 52540, decode.loss_ce: 0.0402, decode.acc_seg: 88.7233, decode.kl_loss: 0.0684, loss: 0.1086 +2023-03-06 08:49:37,006 - mmseg - INFO - Iter [141900/160000] lr: 1.172e-06, eta: 1:13:35, time: 0.200, data_time: 0.007, memory: 52540, decode.loss_ce: 0.0394, decode.acc_seg: 88.9493, decode.kl_loss: 0.0705, loss: 0.1099 +2023-03-06 08:49:46,939 - mmseg - INFO - Iter [141950/160000] lr: 1.172e-06, eta: 1:13:22, time: 0.199, data_time: 0.007, memory: 52540, decode.loss_ce: 0.0392, decode.acc_seg: 88.8907, decode.kl_loss: 0.0692, loss: 0.1084 +2023-03-06 08:49:59,411 - mmseg - INFO - Exp name: ablation_segformer_mit_b2_segformer_head_unet_fc_small_multi_step_ade_pretrained_freeze_embed_160k_ade20k151_finetune_ema_ce.py +2023-03-06 08:49:59,411 - mmseg - INFO - Iter [142000/160000] lr: 1.172e-06, eta: 1:13:10, time: 0.249, data_time: 0.054, memory: 52540, decode.loss_ce: 0.0378, decode.acc_seg: 89.2418, decode.kl_loss: 0.0700, loss: 0.1079 +2023-03-06 08:50:09,449 - mmseg - INFO - Iter [142050/160000] lr: 1.172e-06, eta: 1:12:58, time: 0.201, data_time: 0.008, memory: 52540, decode.loss_ce: 0.0388, decode.acc_seg: 88.9863, decode.kl_loss: 0.0689, loss: 0.1077 +2023-03-06 08:50:19,378 - mmseg - INFO - Iter [142100/160000] lr: 1.172e-06, eta: 1:12:45, time: 0.199, data_time: 0.007, memory: 52540, decode.loss_ce: 0.0402, decode.acc_seg: 88.5768, decode.kl_loss: 0.0721, loss: 0.1123 +2023-03-06 08:50:29,414 - mmseg - INFO - Iter [142150/160000] lr: 1.172e-06, eta: 1:12:33, time: 0.201, data_time: 0.007, memory: 52540, decode.loss_ce: 0.0404, decode.acc_seg: 88.6564, decode.kl_loss: 0.0718, loss: 0.1122 +2023-03-06 08:50:39,497 - mmseg - INFO - Iter [142200/160000] lr: 1.172e-06, eta: 1:12:20, time: 0.202, data_time: 0.007, memory: 52540, decode.loss_ce: 0.0394, decode.acc_seg: 89.0001, decode.kl_loss: 0.0701, loss: 0.1095 +2023-03-06 08:50:49,506 - mmseg - INFO - Iter [142250/160000] lr: 1.172e-06, eta: 1:12:08, time: 0.200, data_time: 0.007, memory: 52540, decode.loss_ce: 0.0397, decode.acc_seg: 88.8420, decode.kl_loss: 0.0709, loss: 0.1106 +2023-03-06 08:50:59,536 - mmseg - INFO - Iter [142300/160000] lr: 1.172e-06, eta: 1:11:55, time: 0.201, data_time: 0.007, memory: 52540, decode.loss_ce: 0.0405, decode.acc_seg: 88.5211, decode.kl_loss: 0.0759, loss: 0.1164 +2023-03-06 08:51:09,559 - mmseg - INFO - Iter [142350/160000] lr: 1.172e-06, eta: 1:11:43, time: 0.200, data_time: 0.007, memory: 52540, decode.loss_ce: 0.0382, decode.acc_seg: 89.2188, decode.kl_loss: 0.0731, loss: 0.1113 +2023-03-06 08:51:19,537 - mmseg - INFO - Iter [142400/160000] lr: 1.172e-06, eta: 1:11:30, time: 0.200, data_time: 0.007, memory: 52540, decode.loss_ce: 0.0396, decode.acc_seg: 88.7989, decode.kl_loss: 0.0773, loss: 0.1169 +2023-03-06 08:51:29,704 - mmseg - INFO - Iter [142450/160000] lr: 1.172e-06, eta: 1:11:18, time: 0.203, data_time: 0.007, memory: 52540, decode.loss_ce: 0.0399, decode.acc_seg: 88.6187, decode.kl_loss: 0.0796, loss: 0.1195 +2023-03-06 08:51:39,902 - mmseg - INFO - Iter [142500/160000] lr: 1.172e-06, eta: 1:11:05, time: 0.204, data_time: 0.007, memory: 52540, decode.loss_ce: 0.0408, decode.acc_seg: 88.6419, decode.kl_loss: 0.0804, loss: 0.1212 +2023-03-06 08:51:49,892 - mmseg - INFO - Iter [142550/160000] lr: 1.172e-06, eta: 1:10:53, time: 0.200, data_time: 0.007, memory: 52540, decode.loss_ce: 0.0388, decode.acc_seg: 88.9837, decode.kl_loss: 0.0765, loss: 0.1153 +2023-03-06 08:52:00,024 - mmseg - INFO - Iter [142600/160000] lr: 1.172e-06, eta: 1:10:41, time: 0.203, data_time: 0.007, memory: 52540, decode.loss_ce: 0.0415, decode.acc_seg: 88.5127, decode.kl_loss: 0.0756, loss: 0.1171 +2023-03-06 08:52:12,670 - mmseg - INFO - Iter [142650/160000] lr: 1.172e-06, eta: 1:10:28, time: 0.253, data_time: 0.055, memory: 52540, decode.loss_ce: 0.0395, decode.acc_seg: 88.7609, decode.kl_loss: 0.0751, loss: 0.1146 +2023-03-06 08:52:22,643 - mmseg - INFO - Iter [142700/160000] lr: 1.172e-06, eta: 1:10:16, time: 0.199, data_time: 0.007, memory: 52540, decode.loss_ce: 0.0409, decode.acc_seg: 88.4685, decode.kl_loss: 0.0739, loss: 0.1148 +2023-03-06 08:52:32,609 - mmseg - INFO - Iter [142750/160000] lr: 1.172e-06, eta: 1:10:03, time: 0.199, data_time: 0.007, memory: 52540, decode.loss_ce: 0.0411, decode.acc_seg: 88.6355, decode.kl_loss: 0.0717, loss: 0.1128 +2023-03-06 08:52:42,698 - mmseg - INFO - Iter [142800/160000] lr: 1.172e-06, eta: 1:09:51, time: 0.202, data_time: 0.007, memory: 52540, decode.loss_ce: 0.0400, decode.acc_seg: 88.7424, decode.kl_loss: 0.0706, loss: 0.1107 +2023-03-06 08:52:52,640 - mmseg - INFO - Iter [142850/160000] lr: 1.172e-06, eta: 1:09:39, time: 0.199, data_time: 0.007, memory: 52540, decode.loss_ce: 0.0394, decode.acc_seg: 88.8036, decode.kl_loss: 0.0734, loss: 0.1128 +2023-03-06 08:53:02,578 - mmseg - INFO - Iter [142900/160000] lr: 1.172e-06, eta: 1:09:26, time: 0.199, data_time: 0.007, memory: 52540, decode.loss_ce: 0.0426, decode.acc_seg: 88.3361, decode.kl_loss: 0.0735, loss: 0.1160 +2023-03-06 08:53:12,504 - mmseg - INFO - Iter [142950/160000] lr: 1.172e-06, eta: 1:09:14, time: 0.199, data_time: 0.007, memory: 52540, decode.loss_ce: 0.0399, decode.acc_seg: 88.6928, decode.kl_loss: 0.0748, loss: 0.1147 +2023-03-06 08:53:22,788 - mmseg - INFO - Exp name: ablation_segformer_mit_b2_segformer_head_unet_fc_small_multi_step_ade_pretrained_freeze_embed_160k_ade20k151_finetune_ema_ce.py +2023-03-06 08:53:22,788 - mmseg - INFO - Iter [143000/160000] lr: 1.172e-06, eta: 1:09:01, time: 0.206, data_time: 0.007, memory: 52540, decode.loss_ce: 0.0411, decode.acc_seg: 88.5905, decode.kl_loss: 0.0734, loss: 0.1145 +2023-03-06 08:53:32,712 - mmseg - INFO - Iter [143050/160000] lr: 1.172e-06, eta: 1:08:49, time: 0.198, data_time: 0.007, memory: 52540, decode.loss_ce: 0.0413, decode.acc_seg: 88.5652, decode.kl_loss: 0.0736, loss: 0.1148 +2023-03-06 08:53:42,666 - mmseg - INFO - Iter [143100/160000] lr: 1.172e-06, eta: 1:08:36, time: 0.199, data_time: 0.007, memory: 52540, decode.loss_ce: 0.0411, decode.acc_seg: 88.4626, decode.kl_loss: 0.0728, loss: 0.1139 +2023-03-06 08:53:52,770 - mmseg - INFO - Iter [143150/160000] lr: 1.172e-06, eta: 1:08:24, time: 0.202, data_time: 0.007, memory: 52540, decode.loss_ce: 0.0420, decode.acc_seg: 88.4905, decode.kl_loss: 0.0715, loss: 0.1135 +2023-03-06 08:54:02,804 - mmseg - INFO - Iter [143200/160000] lr: 1.172e-06, eta: 1:08:12, time: 0.201, data_time: 0.007, memory: 52540, decode.loss_ce: 0.0399, decode.acc_seg: 88.7150, decode.kl_loss: 0.0711, loss: 0.1109 +2023-03-06 08:54:15,447 - mmseg - INFO - Iter [143250/160000] lr: 1.172e-06, eta: 1:07:59, time: 0.253, data_time: 0.057, memory: 52540, decode.loss_ce: 0.0410, decode.acc_seg: 88.4606, decode.kl_loss: 0.0694, loss: 0.1103 +2023-03-06 08:54:25,521 - mmseg - INFO - Iter [143300/160000] lr: 1.172e-06, eta: 1:07:47, time: 0.201, data_time: 0.007, memory: 52540, decode.loss_ce: 0.0426, decode.acc_seg: 88.0994, decode.kl_loss: 0.0715, loss: 0.1141 +2023-03-06 08:54:35,492 - mmseg - INFO - Iter [143350/160000] lr: 1.172e-06, eta: 1:07:35, time: 0.199, data_time: 0.007, memory: 52540, decode.loss_ce: 0.0412, decode.acc_seg: 88.5064, decode.kl_loss: 0.0687, loss: 0.1099 +2023-03-06 08:54:45,472 - mmseg - INFO - Iter [143400/160000] lr: 1.172e-06, eta: 1:07:22, time: 0.200, data_time: 0.007, memory: 52540, decode.loss_ce: 0.0400, decode.acc_seg: 88.8152, decode.kl_loss: 0.0704, loss: 0.1104 +2023-03-06 08:54:55,453 - mmseg - INFO - Iter [143450/160000] lr: 1.172e-06, eta: 1:07:10, time: 0.200, data_time: 0.007, memory: 52540, decode.loss_ce: 0.0415, decode.acc_seg: 88.4700, decode.kl_loss: 0.0674, loss: 0.1089 +2023-03-06 08:55:05,644 - mmseg - INFO - Iter [143500/160000] lr: 1.172e-06, eta: 1:06:57, time: 0.204, data_time: 0.007, memory: 52540, decode.loss_ce: 0.0417, decode.acc_seg: 88.3844, decode.kl_loss: 0.0712, loss: 0.1128 +2023-03-06 08:55:15,699 - mmseg - INFO - Iter [143550/160000] lr: 1.172e-06, eta: 1:06:45, time: 0.201, data_time: 0.007, memory: 52540, decode.loss_ce: 0.0413, decode.acc_seg: 88.6007, decode.kl_loss: 0.0675, loss: 0.1088 +2023-03-06 08:55:25,625 - mmseg - INFO - Iter [143600/160000] lr: 1.172e-06, eta: 1:06:32, time: 0.198, data_time: 0.007, memory: 52540, decode.loss_ce: 0.0418, decode.acc_seg: 88.2561, decode.kl_loss: 0.0713, loss: 0.1131 +2023-03-06 08:55:35,594 - mmseg - INFO - Iter [143650/160000] lr: 1.172e-06, eta: 1:06:20, time: 0.199, data_time: 0.007, memory: 52540, decode.loss_ce: 0.0405, decode.acc_seg: 88.5661, decode.kl_loss: 0.0673, loss: 0.1078 +2023-03-06 08:55:45,524 - mmseg - INFO - Iter [143700/160000] lr: 1.172e-06, eta: 1:06:08, time: 0.199, data_time: 0.007, memory: 52540, decode.loss_ce: 0.0417, decode.acc_seg: 88.3844, decode.kl_loss: 0.0699, loss: 0.1115 +2023-03-06 08:55:55,585 - mmseg - INFO - Iter [143750/160000] lr: 1.172e-06, eta: 1:05:55, time: 0.201, data_time: 0.007, memory: 52540, decode.loss_ce: 0.0402, decode.acc_seg: 88.7183, decode.kl_loss: 0.0674, loss: 0.1077 +2023-03-06 08:56:05,852 - mmseg - INFO - Iter [143800/160000] lr: 1.172e-06, eta: 1:05:43, time: 0.205, data_time: 0.007, memory: 52540, decode.loss_ce: 0.0413, decode.acc_seg: 88.5381, decode.kl_loss: 0.0692, loss: 0.1105 +2023-03-06 08:56:15,944 - mmseg - INFO - Iter [143850/160000] lr: 1.172e-06, eta: 1:05:30, time: 0.202, data_time: 0.007, memory: 52540, decode.loss_ce: 0.0409, decode.acc_seg: 88.4764, decode.kl_loss: 0.0695, loss: 0.1104 +2023-03-06 08:56:28,503 - mmseg - INFO - Iter [143900/160000] lr: 1.172e-06, eta: 1:05:18, time: 0.251, data_time: 0.055, memory: 52540, decode.loss_ce: 0.0414, decode.acc_seg: 88.3461, decode.kl_loss: 0.0701, loss: 0.1115 +2023-03-06 08:56:38,708 - mmseg - INFO - Iter [143950/160000] lr: 1.172e-06, eta: 1:05:06, time: 0.204, data_time: 0.007, memory: 52540, decode.loss_ce: 0.0400, decode.acc_seg: 88.7467, decode.kl_loss: 0.0695, loss: 0.1094 +2023-03-06 08:56:49,408 - mmseg - INFO - Swap parameters (after train) after iter [144000] +2023-03-06 08:56:49,421 - mmseg - INFO - Saving checkpoint at 144000 iterations +2023-03-06 08:56:50,622 - mmseg - INFO - Exp name: ablation_segformer_mit_b2_segformer_head_unet_fc_small_multi_step_ade_pretrained_freeze_embed_160k_ade20k151_finetune_ema_ce.py +2023-03-06 08:56:50,623 - mmseg - INFO - Iter [144000/160000] lr: 1.172e-06, eta: 1:04:54, time: 0.238, data_time: 0.007, memory: 52540, decode.loss_ce: 0.0408, decode.acc_seg: 88.4764, decode.kl_loss: 0.0703, loss: 0.1111 +2023-03-06 09:07:41,285 - mmseg - INFO - per class results: +2023-03-06 09:07:41,294 - mmseg - INFO - ++---------------------+-------------------------------------------------------------------+ +| Class | IoU 0,10,20,30,40,50,60,70,80,90,99 | ++---------------------+-------------------------------------------------------------------+ +| background | nan,nan,nan,nan,nan,nan,nan,nan,nan,nan,nan | +| wall | 74.16,74.53,74.5,74.47,74.42,74.37,74.35,74.33,74.31,74.28,74.12 | +| building | 79.66,79.95,79.93,79.88,79.84,79.8,79.75,79.7,79.65,79.57,79.39 | +| sky | 93.15,93.36,93.35,93.32,93.29,93.25,93.2,93.15,93.1,93.06,93.05 | +| floor | 78.91,79.2,79.17,79.11,79.07,79.01,78.94,78.89,78.81,78.72,78.49 | +| tree | 71.8,72.05,72.05,72.02,72.01,71.99,71.96,71.94,71.89,71.82,71.63 | +| ceiling | 81.43,81.79,81.77,81.74,81.7,81.66,81.6,81.55,81.51,81.45,81.36 | +| road | 79.08,79.51,79.5,79.45,79.41,79.38,79.31,79.25,79.19,79.09,78.92 | +| bed | 84.68,85.03,85.0,84.99,84.99,84.95,84.92,84.89,84.86,84.82,84.72 | +| windowpane | 55.76,56.28,56.21,56.2,56.14,56.05,55.96,55.84,55.78,55.64,55.31 | +| grass | 65.21,65.5,65.54,65.54,65.53,65.53,65.47,65.47,65.41,65.29,65.12 | +| cabinet | 54.6,55.22,55.16,55.09,55.03,54.94,54.82,54.72,54.66,54.48,54.11 | +| sidewalk | 57.92,58.53,58.49,58.44,58.41,58.34,58.25,58.13,58.03,57.87,57.52 | +| person | 75.24,75.67,75.6,75.55,75.54,75.51,75.45,75.41,75.34,75.23,74.96 | +| earth | 33.51,33.76,33.77,33.73,33.71,33.64,33.62,33.58,33.52,33.39,33.14 | +| door | 41.32,41.67,41.7,41.71,41.68,41.62,41.58,41.54,41.49,41.45,41.35 | +| table | 52.83,53.52,53.5,53.51,53.44,53.41,53.38,53.31,53.21,53.03,52.68 | +| mountain | 53.41,53.94,53.96,53.89,53.88,53.81,53.78,53.73,53.73,53.68,53.64 | +| plant | 47.68,48.08,48.13,48.11,48.06,48.06,48.07,48.06,48.01,47.91,47.76 | +| curtain | 71.25,71.63,71.65,71.68,71.64,71.62,71.57,71.54,71.52,71.47,71.29 | +| chair | 50.55,51.19,51.19,51.16,51.16,51.11,51.04,50.95,50.81,50.74,50.48 | +| car | 78.79,79.15,79.16,79.16,79.17,79.16,79.1,79.06,79.0,78.87,78.68 | +| water | 56.31,56.62,56.58,56.62,56.62,56.6,56.65,56.58,56.57,56.51,56.45 | +| painting | 66.34,66.98,66.95,66.87,66.75,66.69,66.6,66.54,66.41,66.22,65.87 | +| sofa | 40.3,41.99,41.63,41.28,40.96,40.63,40.27,40.01,39.76,39.45,38.58 | +| shelf | 39.19,39.79,39.72,39.69,39.65,39.68,39.63,39.57,39.54,39.46,39.22 | +| house | 41.07,41.26,41.31,41.36,41.31,41.34,41.34,41.31,41.42,41.45,41.6 | +| sea | 58.96,59.33,59.39,59.45,59.48,59.53,59.56,59.62,59.59,59.6,59.58 | +| mirror | 59.23,59.68,59.7,59.66,59.63,59.59,59.52,59.45,59.47,59.48,59.5 | +| rug | 58.69,59.2,59.18,59.13,59.11,59.1,59.01,59.08,59.06,59.12,59.0 | +| field | 29.99,30.12,30.17,30.19,30.2,30.17,30.19,30.16,30.1,29.96,29.85 | +| armchair | 33.43,33.77,33.75,33.71,33.76,33.78,33.76,33.76,33.74,33.83,33.71 | +| seat | 63.58,63.85,63.87,63.81,63.81,63.78,63.82,63.77,63.77,63.85,63.77 | +| fence | 38.36,39.2,39.13,39.11,39.16,39.16,39.28,39.25,39.22,39.22,39.09 | +| desk | 40.12,40.97,40.99,40.98,40.96,40.91,40.87,40.77,40.57,40.36,40.13 | +| rock | 35.73,36.06,36.03,35.95,35.9,35.84,35.81,35.84,35.78,35.71,35.56 | +| wardrobe | 50.98,51.8,51.88,51.86,51.88,51.78,51.63,51.53,51.48,51.41,51.33 | +| lamp | 54.94,55.65,55.55,55.63,55.43,55.4,55.39,55.31,55.21,55.29,55.13 | +| bathtub | 71.88,72.05,72.04,72.05,72.09,72.04,72.02,72.04,71.99,72.04,72.06 | +| railing | 32.16,32.39,32.54,32.47,32.47,32.49,32.45,32.4,32.33,32.21,32.07 | +| cushion | 34.47,36.07,35.97,35.65,35.45,35.07,34.78,34.29,33.98,33.72,33.39 | +| base | 17.17,17.12,17.02,17.16,17.06,17.05,17.03,17.13,17.18,17.22,17.27 | +| box | 13.82,14.66,14.5,14.37,14.22,14.04,13.93,13.78,13.65,13.5,13.25 | +| column | 41.69,41.84,41.99,41.93,41.95,41.98,42.09,42.08,42.12,42.17,42.15 | +| signboard | 32.73,33.49,33.49,33.52,33.57,33.58,33.57,33.5,33.47,33.39,33.18 | +| chest of drawers | 32.87,33.1,33.11,33.16,33.12,33.16,33.07,33.01,32.97,32.83,32.62 | +| counter | 30.12,30.1,30.16,30.27,30.32,30.37,30.39,30.38,30.44,30.39,30.35 | +| sand | 36.82,37.17,37.15,37.09,36.97,36.99,37.07,36.97,37.07,37.12,37.11 | +| sink | 62.51,62.68,62.78,62.72,62.79,62.69,62.65,62.61,62.45,62.38,62.09 | +| skyscraper | 53.76,53.41,53.39,53.22,53.15,53.09,53.19,53.36,53.35,53.57,53.57 | +| fireplace | 72.52,73.14,73.16,73.27,73.16,73.12,73.01,72.97,72.78,72.63,72.52 | +| refrigerator | 68.94,69.36,69.44,69.42,69.39,69.41,69.37,69.35,69.37,69.46,69.51 | +| grandstand | 50.23,50.62,50.49,50.34,50.47,50.28,50.2,50.31,49.95,49.99,50.16 | +| path | 19.15,19.32,19.38,19.34,19.2,19.24,19.21,19.12,19.18,19.23,19.28 | +| stairs | 32.15,32.01,32.06,31.95,32.02,32.07,31.91,31.91,31.91,32.04,32.15 | +| runway | 62.88,63.21,63.27,63.34,63.36,63.38,63.42,63.56,63.62,63.76,63.7 | +| case | 46.94,47.17,47.11,47.16,47.33,47.38,47.3,47.31,47.17,47.06,46.89 | +| pool table | 88.88,89.18,89.16,89.07,89.03,89.01,88.96,88.94,88.82,88.83,88.78 | +| pillow | 47.75,48.3,48.24,48.26,48.24,48.16,48.2,48.11,48.13,48.21,47.79 | +| screen door | 64.25,64.37,64.58,64.7,64.56,64.51,64.54,64.6,64.61,64.64,64.54 | +| stairway | 20.68,21.05,21.06,21.0,21.03,21.04,20.96,21.02,21.04,21.19,21.27 | +| river | 11.11,11.12,11.12,11.09,11.11,11.09,11.13,11.09,11.11,11.1,11.11 | +| bridge | 32.25,32.66,32.59,32.71,32.71,32.58,32.64,32.68,32.69,32.67,32.7 | +| bookcase | 41.64,42.26,42.28,42.27,42.36,42.26,42.21,42.12,42.12,41.92,41.72 | +| blind | 32.14,32.53,32.4,32.43,32.33,32.28,32.29,32.3,32.33,32.33,32.31 | +| coffee table | 50.14,50.7,50.86,50.85,50.82,50.73,50.81,50.64,50.45,50.34,50.28 | +| toilet | 79.96,80.23,80.22,80.26,80.32,80.36,80.37,80.4,80.34,80.27,80.04 | +| flower | 35.19,35.55,35.42,35.4,35.27,35.33,35.23,35.23,34.95,35.01,34.93 | +| book | 42.56,42.94,42.87,42.81,42.81,42.75,42.74,42.59,42.52,42.35,42.29 | +| hill | 12.31,12.6,12.69,12.6,12.57,12.53,12.44,12.5,12.52,12.44,12.34 | +| bench | 40.38,41.09,41.28,41.17,41.17,41.11,41.1,40.92,40.74,40.55,40.41 | +| countertop | 47.9,48.2,48.12,48.21,48.25,48.22,48.23,48.09,48.21,48.13,47.97 | +| stove | 63.99,64.72,64.77,64.88,65.06,65.16,65.08,65.21,65.28,65.41,65.53 | +| palm | 46.38,46.53,46.57,46.61,46.62,46.62,46.77,46.62,46.61,46.58,46.46 | +| kitchen island | 31.47,32.18,32.08,32.01,32.04,31.99,31.97,31.97,31.88,31.83,31.74 | +| computer | 53.34,54.01,54.03,54.03,54.02,53.97,53.96,53.86,53.85,53.62,53.38 | +| swivel chair | 41.78,41.79,41.87,42.14,42.18,42.36,42.26,42.26,42.42,42.45,42.37 | +| boat | 65.58,66.18,66.39,66.51,66.41,66.65,66.86,67.06,67.12,66.85,66.74 | +| bar | 22.66,22.49,22.57,22.63,22.67,22.64,22.72,22.75,22.81,22.88,22.94 | +| arcade machine | 67.79,67.68,68.07,68.03,68.43,68.43,68.54,68.73,69.02,69.47,69.74 | +| hovel | 33.39,32.98,33.05,33.13,33.23,33.49,33.81,34.14,34.44,34.57,34.57 | +| bus | 77.02,76.72,76.72,76.9,77.12,77.17,77.05,77.06,76.98,76.87,76.73 | +| towel | 58.19,58.71,58.79,58.86,58.79,58.78,58.85,58.93,58.76,58.6,58.44 | +| light | 20.87,21.94,22.19,22.64,23.01,23.55,23.72,23.97,24.58,25.38,26.22 | +| truck | 16.61,17.41,17.3,16.96,17.29,16.92,16.72,16.82,16.37,16.39,16.36 | +| tower | 13.28,13.14,13.2,13.22,13.26,13.28,13.31,13.31,13.31,13.36,13.33 | +| chandelier | 60.6,61.33,61.25,61.24,61.08,61.04,61.12,60.89,60.88,60.76,60.7 | +| awning | 19.58,19.46,19.44,19.41,19.44,19.33,19.49,19.55,19.7,19.72,19.86 | +| streetlight | 20.8,20.91,20.84,20.86,20.91,20.82,20.84,20.75,20.89,21.05,20.97 | +| booth | 38.78,38.9,38.89,38.88,38.65,38.54,38.75,38.77,38.9,39.07,39.24 | +| television receiver | 62.18,62.63,62.6,62.6,62.56,62.43,62.38,62.38,62.42,62.48,62.45 | +| airplane | 55.13,55.38,55.38,55.37,55.3,55.48,55.41,55.33,55.38,55.34,55.42 | +| dirt track | 10.97,11.96,12.12,12.04,12.07,11.97,11.68,11.59,11.47,11.37,11.24 | +| apparel | 33.62,34.83,34.68,34.83,34.75,34.86,34.7,34.55,34.3,33.99,33.82 | +| pole | 5.57,6.18,6.24,6.28,6.23,6.44,6.6,6.95,7.02,7.15,7.28 | +| land | 3.14,3.1,3.02,3.02,3.09,3.13,3.21,3.3,3.43,3.55,3.62 | +| bannister | 7.85,7.87,8.05,7.93,8.04,7.86,7.88,8.06,8.1,8.24,8.41 | +| escalator | 21.82,22.16,22.31,22.35,22.49,22.56,22.7,22.84,22.86,23.08,23.07 | +| ottoman | 36.64,37.32,37.49,37.41,37.44,37.51,37.48,37.48,37.46,37.3,37.28 | +| bottle | 31.14,31.21,31.18,31.56,31.52,31.57,31.34,31.2,31.13,31.08,31.22 | +| buffet | 36.03,35.36,35.64,35.75,36.15,36.35,36.56,36.8,37.05,37.42,37.39 | +| poster | 20.6,20.29,20.46,20.53,20.66,20.61,20.7,20.65,20.66,20.67,20.81 | +| stage | 12.19,12.22,12.13,12.06,12.05,11.98,12.01,11.97,11.99,12.07,12.09 | +| van | 36.07,36.36,36.36,36.32,36.3,36.1,36.31,36.15,36.23,36.14,36.16 | +| ship | 71.36,71.44,71.61,71.86,72.11,72.25,72.53,72.78,72.62,72.64,72.38 | +| fountain | 9.98,9.96,9.8,9.6,9.73,9.45,9.71,9.71,9.92,10.06,10.23 | +| conveyer belt | 78.55,79.37,79.38,79.34,79.35,79.34,79.52,79.11,79.34,78.99,78.73 | +| canopy | 17.81,18.43,18.51,18.5,18.21,18.26,18.03,18.27,18.23,18.5,18.46 | +| washer | 72.81,72.16,72.38,72.18,72.27,72.25,72.37,72.55,72.89,73.32,73.6 | +| plaything | 17.22,17.26,17.41,17.23,17.22,17.28,17.17,17.38,17.28,17.25,17.29 | +| swimming pool | 71.35,71.64,71.9,72.01,72.11,72.04,72.36,72.55,72.47,72.63,72.85 | +| stool | 35.04,35.84,35.99,36.17,36.19,36.02,36.33,36.5,36.46,36.34,36.23 | +| barrel | 36.21,35.29,37.67,37.25,37.56,39.08,40.02,41.0,40.98,41.16,40.17 | +| basket | 18.61,19.64,19.51,19.44,19.54,19.3,19.22,19.02,19.0,18.85,18.76 | +| waterfall | 50.01,51.27,51.07,50.91,50.78,50.25,50.34,49.96,49.88,50.0,50.25 | +| tent | 84.75,88.17,88.37,88.59,88.58,88.36,88.32,87.94,87.8,87.36,86.93 | +| bag | 9.14,8.99,9.09,8.98,9.0,8.96,9.02,9.21,9.2,9.3,9.3 | +| minibike | 45.25,47.73,47.86,47.77,48.01,47.8,47.56,47.44,47.91,48.66,48.51 | +| cradle | 80.63,80.89,81.04,81.06,81.16,80.9,81.06,81.33,81.39,81.5,81.47 | +| oven | 40.89,40.9,40.89,41.2,41.19,41.52,41.47,42.04,42.37,42.54,42.6 | +| ball | 35.84,36.21,36.18,36.27,36.14,36.13,36.1,36.03,36.05,35.83,35.74 | +| food | 43.18,44.08,44.54,44.47,44.97,45.29,45.67,45.75,46.08,46.26,46.11 | +| step | 6.91,7.09,6.82,6.69,6.75,6.67,6.39,6.31,6.16,5.8,5.55 | +| tank | 46.87,47.44,47.29,47.15,46.9,46.81,46.49,46.44,46.34,46.53,46.76 | +| trade name | 23.1,22.6,22.72,22.76,23.19,23.27,23.33,23.44,23.37,23.56,23.92 | +| microwave | 69.6,70.04,70.17,70.5,70.7,71.01,71.14,71.4,71.81,72.07,72.19 | +| pot | 20.54,21.19,21.07,21.18,21.34,21.21,21.3,21.32,21.34,21.59,21.6 | +| animal | 50.16,50.76,50.57,50.59,50.73,50.52,50.58,50.46,50.31,50.26,50.14 | +| bicycle | 46.93,46.66,47.09,47.54,47.58,47.94,47.99,48.11,48.29,48.02,47.87 | +| lake | 56.44,56.47,56.54,56.57,56.56,56.59,56.62,56.66,56.65,56.68,56.61 | +| dishwasher | 63.29,63.35,63.66,63.56,63.68,63.74,63.76,63.68,63.38,63.14,63.07 | +| screen | 60.71,61.66,61.7,61.56,61.46,61.37,61.47,61.33,61.13,60.98,60.86 | +| blanket | 14.16,14.01,14.13,14.1,14.3,14.22,14.41,14.67,14.6,14.66,14.71 | +| sculpture | 57.87,58.5,58.78,58.73,58.83,58.88,58.85,58.58,58.4,58.13,57.72 | +| hood | 47.54,48.69,49.03,49.05,49.36,49.33,49.09,49.2,49.35,49.55,49.53 | +| sconce | 4.08,4.56,4.48,4.35,4.22,4.11,4.01,3.92,3.84,3.71,3.5 | +| vase | 21.44,22.42,22.53,22.62,22.61,22.45,22.37,22.44,22.17,22.09,21.62 | +| traffic light | 26.87,27.28,27.35,27.23,27.41,27.24,27.38,27.38,27.37,27.42,27.19 | +| tray | 5.17,4.89,5.05,4.99,5.09,5.34,5.24,5.32,5.31,5.39,5.52 | +| ashcan | 28.98,30.61,30.85,31.12,31.32,31.42,31.31,31.41,31.38,31.31,31.16 | +| fan | 49.32,49.93,49.52,49.84,49.89,49.56,49.51,49.81,49.85,50.21,50.32 | +| pier | 35.12,38.96,39.42,39.33,38.42,38.49,37.07,36.91,36.62,37.09,36.97 | +| crt screen | 4.01,5.02,4.63,4.62,4.1,4.09,4.12,4.04,3.98,4.08,4.12 | +| plate | 32.07,32.32,33.01,33.4,33.88,34.55,34.82,35.81,36.38,36.87,37.03 | +| monitor | 16.35,16.4,16.05,16.24,15.82,15.75,15.43,15.17,15.37,15.18,15.0 | +| bulletin board | 30.18,31.72,31.43,31.59,31.7,31.7,31.69,31.86,32.06,32.31,32.29 | +| shower | 0.7,0.42,0.49,0.41,0.44,0.43,0.4,0.5,0.49,0.51,0.58 | +| radiator | 48.23,47.89,48.42,48.96,49.52,50.33,50.85,51.39,52.09,52.49,52.73 | +| glass | 6.14,5.9,6.07,6.16,6.29,6.24,6.4,6.54,6.64,6.79,6.91 | +| clock | 27.55,27.99,27.28,28.13,27.92,28.06,28.27,27.87,28.01,29.13,29.29 | +| flag | 31.3,31.79,31.5,31.69,31.72,31.83,31.96,31.88,32.16,32.15,32.11 | ++---------------------+-------------------------------------------------------------------+ +2023-03-06 09:07:41,294 - mmseg - INFO - Summary: +2023-03-06 09:07:41,294 - mmseg - INFO - ++-------------------------------------------------------------------+ +| mIoU 0,10,20,30,40,50,60,70,80,90,99 | ++-------------------------------------------------------------------+ +| 43.22,43.65,43.69,43.71,43.72,43.72,43.72,43.73,43.73,43.74,43.67 | ++-------------------------------------------------------------------+ +2023-03-06 09:07:41,294 - mmseg - INFO - Exp name: ablation_segformer_mit_b2_segformer_head_unet_fc_small_multi_step_ade_pretrained_freeze_embed_160k_ade20k151_finetune_ema_ce.py +2023-03-06 09:07:41,294 - mmseg - INFO - Iter(val) [250] mIoU: [0.4322, 0.4365, 0.4369, 0.4371, 0.4372, 0.4372, 0.4372, 0.4373, 0.4373, 0.4374, 0.4367], copy_paste: 43.22,43.65,43.69,43.71,43.72,43.72,43.72,43.73,43.73,43.74,43.67 +2023-03-06 09:07:41,301 - mmseg - INFO - Swap parameters (before train) before iter [144001] +2023-03-06 09:07:51,785 - mmseg - INFO - Iter [144050/160000] lr: 1.172e-06, eta: 1:05:53, time: 13.223, data_time: 13.022, memory: 52540, decode.loss_ce: 0.0415, decode.acc_seg: 88.3819, decode.kl_loss: 0.0674, loss: 0.1089 +2023-03-06 09:08:02,135 - mmseg - INFO - Iter [144100/160000] lr: 1.172e-06, eta: 1:05:41, time: 0.207, data_time: 0.007, memory: 52540, decode.loss_ce: 0.0431, decode.acc_seg: 88.0938, decode.kl_loss: 0.0695, loss: 0.1125 +2023-03-06 09:08:12,329 - mmseg - INFO - Iter [144150/160000] lr: 1.172e-06, eta: 1:05:28, time: 0.204, data_time: 0.007, memory: 52540, decode.loss_ce: 0.0405, decode.acc_seg: 88.5119, decode.kl_loss: 0.0678, loss: 0.1083 +2023-03-06 09:08:22,321 - mmseg - INFO - Iter [144200/160000] lr: 1.172e-06, eta: 1:05:15, time: 0.200, data_time: 0.007, memory: 52540, decode.loss_ce: 0.0419, decode.acc_seg: 88.3283, decode.kl_loss: 0.0685, loss: 0.1104 +2023-03-06 09:08:32,579 - mmseg - INFO - Iter [144250/160000] lr: 1.172e-06, eta: 1:05:03, time: 0.205, data_time: 0.007, memory: 52540, decode.loss_ce: 0.0429, decode.acc_seg: 88.0981, decode.kl_loss: 0.0684, loss: 0.1113 +2023-03-06 09:08:43,014 - mmseg - INFO - Iter [144300/160000] lr: 1.172e-06, eta: 1:04:50, time: 0.209, data_time: 0.007, memory: 52540, decode.loss_ce: 0.0407, decode.acc_seg: 88.6843, decode.kl_loss: 0.0650, loss: 0.1057 +2023-03-06 09:08:52,936 - mmseg - INFO - Iter [144350/160000] lr: 1.172e-06, eta: 1:04:38, time: 0.198, data_time: 0.007, memory: 52540, decode.loss_ce: 0.0407, decode.acc_seg: 88.4810, decode.kl_loss: 0.0688, loss: 0.1095 +2023-03-06 09:09:03,013 - mmseg - INFO - Iter [144400/160000] lr: 1.172e-06, eta: 1:04:25, time: 0.202, data_time: 0.007, memory: 52540, decode.loss_ce: 0.0416, decode.acc_seg: 88.2792, decode.kl_loss: 0.0658, loss: 0.1073 +2023-03-06 09:09:13,085 - mmseg - INFO - Iter [144450/160000] lr: 1.172e-06, eta: 1:04:12, time: 0.201, data_time: 0.007, memory: 52540, decode.loss_ce: 0.0427, decode.acc_seg: 88.1098, decode.kl_loss: 0.0687, loss: 0.1115 +2023-03-06 09:09:25,606 - mmseg - INFO - Iter [144500/160000] lr: 1.172e-06, eta: 1:04:00, time: 0.250, data_time: 0.053, memory: 52540, decode.loss_ce: 0.0433, decode.acc_seg: 87.9333, decode.kl_loss: 0.0665, loss: 0.1098 +2023-03-06 09:09:35,931 - mmseg - INFO - Iter [144550/160000] lr: 1.172e-06, eta: 1:03:47, time: 0.207, data_time: 0.007, memory: 52540, decode.loss_ce: 0.0444, decode.acc_seg: 87.9729, decode.kl_loss: 0.0675, loss: 0.1120 +2023-03-06 09:09:46,305 - mmseg - INFO - Iter [144600/160000] lr: 1.172e-06, eta: 1:03:35, time: 0.207, data_time: 0.008, memory: 52540, decode.loss_ce: 0.0420, decode.acc_seg: 88.3214, decode.kl_loss: 0.0683, loss: 0.1103 +2023-03-06 09:09:56,430 - mmseg - INFO - Iter [144650/160000] lr: 1.172e-06, eta: 1:03:22, time: 0.202, data_time: 0.007, memory: 52540, decode.loss_ce: 0.0431, decode.acc_seg: 87.9851, decode.kl_loss: 0.0675, loss: 0.1106 +2023-03-06 09:10:06,420 - mmseg - INFO - Iter [144700/160000] lr: 1.172e-06, eta: 1:03:09, time: 0.200, data_time: 0.007, memory: 52540, decode.loss_ce: 0.0416, decode.acc_seg: 88.4337, decode.kl_loss: 0.0690, loss: 0.1106 +2023-03-06 09:10:16,519 - mmseg - INFO - Iter [144750/160000] lr: 1.172e-06, eta: 1:02:57, time: 0.202, data_time: 0.007, memory: 52540, decode.loss_ce: 0.0404, decode.acc_seg: 88.5438, decode.kl_loss: 0.0671, loss: 0.1075 +2023-03-06 09:10:26,473 - mmseg - INFO - Iter [144800/160000] lr: 1.172e-06, eta: 1:02:44, time: 0.199, data_time: 0.007, memory: 52540, decode.loss_ce: 0.0412, decode.acc_seg: 88.4959, decode.kl_loss: 0.0658, loss: 0.1070 +2023-03-06 09:10:36,802 - mmseg - INFO - Iter [144850/160000] lr: 1.172e-06, eta: 1:02:32, time: 0.207, data_time: 0.007, memory: 52540, decode.loss_ce: 0.0401, decode.acc_seg: 88.8222, decode.kl_loss: 0.0664, loss: 0.1065 +2023-03-06 09:10:46,829 - mmseg - INFO - Iter [144900/160000] lr: 1.172e-06, eta: 1:02:19, time: 0.201, data_time: 0.007, memory: 52540, decode.loss_ce: 0.0407, decode.acc_seg: 88.4545, decode.kl_loss: 0.0673, loss: 0.1080 +2023-03-06 09:10:56,974 - mmseg - INFO - Iter [144950/160000] lr: 1.172e-06, eta: 1:02:06, time: 0.203, data_time: 0.007, memory: 52540, decode.loss_ce: 0.0417, decode.acc_seg: 88.4691, decode.kl_loss: 0.0666, loss: 0.1083 +2023-03-06 09:11:07,093 - mmseg - INFO - Exp name: ablation_segformer_mit_b2_segformer_head_unet_fc_small_multi_step_ade_pretrained_freeze_embed_160k_ade20k151_finetune_ema_ce.py +2023-03-06 09:11:07,093 - mmseg - INFO - Iter [145000/160000] lr: 1.172e-06, eta: 1:01:54, time: 0.202, data_time: 0.007, memory: 52540, decode.loss_ce: 0.0423, decode.acc_seg: 88.1918, decode.kl_loss: 0.0665, loss: 0.1088 +2023-03-06 09:11:17,191 - mmseg - INFO - Iter [145050/160000] lr: 1.172e-06, eta: 1:01:41, time: 0.202, data_time: 0.007, memory: 52540, decode.loss_ce: 0.0424, decode.acc_seg: 88.2979, decode.kl_loss: 0.0667, loss: 0.1090 +2023-03-06 09:11:27,111 - mmseg - INFO - Iter [145100/160000] lr: 1.172e-06, eta: 1:01:28, time: 0.198, data_time: 0.007, memory: 52540, decode.loss_ce: 0.0408, decode.acc_seg: 88.6197, decode.kl_loss: 0.0642, loss: 0.1050 +2023-03-06 09:11:39,680 - mmseg - INFO - Iter [145150/160000] lr: 1.172e-06, eta: 1:01:16, time: 0.252, data_time: 0.056, memory: 52540, decode.loss_ce: 0.0421, decode.acc_seg: 88.5637, decode.kl_loss: 0.0633, loss: 0.1054 +2023-03-06 09:11:49,736 - mmseg - INFO - Iter [145200/160000] lr: 1.172e-06, eta: 1:01:03, time: 0.201, data_time: 0.007, memory: 52540, decode.loss_ce: 0.0407, decode.acc_seg: 88.6660, decode.kl_loss: 0.0650, loss: 0.1057 +2023-03-06 09:11:59,891 - mmseg - INFO - Iter [145250/160000] lr: 1.172e-06, eta: 1:00:51, time: 0.203, data_time: 0.007, memory: 52540, decode.loss_ce: 0.0414, decode.acc_seg: 88.3831, decode.kl_loss: 0.0652, loss: 0.1066 +2023-03-06 09:12:10,185 - mmseg - INFO - Iter [145300/160000] lr: 1.172e-06, eta: 1:00:38, time: 0.206, data_time: 0.007, memory: 52540, decode.loss_ce: 0.0422, decode.acc_seg: 88.2974, decode.kl_loss: 0.0658, loss: 0.1080 +2023-03-06 09:12:20,155 - mmseg - INFO - Iter [145350/160000] lr: 1.172e-06, eta: 1:00:26, time: 0.199, data_time: 0.007, memory: 52540, decode.loss_ce: 0.0423, decode.acc_seg: 88.2531, decode.kl_loss: 0.0653, loss: 0.1075 +2023-03-06 09:12:30,072 - mmseg - INFO - Iter [145400/160000] lr: 1.172e-06, eta: 1:00:13, time: 0.198, data_time: 0.007, memory: 52540, decode.loss_ce: 0.0410, decode.acc_seg: 88.6522, decode.kl_loss: 0.0657, loss: 0.1067 +2023-03-06 09:12:40,181 - mmseg - INFO - Iter [145450/160000] lr: 1.172e-06, eta: 1:00:00, time: 0.202, data_time: 0.007, memory: 52540, decode.loss_ce: 0.0402, decode.acc_seg: 88.6138, decode.kl_loss: 0.0669, loss: 0.1071 +2023-03-06 09:12:50,284 - mmseg - INFO - Iter [145500/160000] lr: 1.172e-06, eta: 0:59:48, time: 0.202, data_time: 0.007, memory: 52540, decode.loss_ce: 0.0411, decode.acc_seg: 88.4687, decode.kl_loss: 0.0679, loss: 0.1090 +2023-03-06 09:13:00,233 - mmseg - INFO - Iter [145550/160000] lr: 1.172e-06, eta: 0:59:35, time: 0.199, data_time: 0.007, memory: 52540, decode.loss_ce: 0.0424, decode.acc_seg: 88.2683, decode.kl_loss: 0.0674, loss: 0.1099 +2023-03-06 09:13:10,509 - mmseg - INFO - Iter [145600/160000] lr: 1.172e-06, eta: 0:59:23, time: 0.206, data_time: 0.007, memory: 52540, decode.loss_ce: 0.0392, decode.acc_seg: 88.9005, decode.kl_loss: 0.0628, loss: 0.1020 +2023-03-06 09:13:20,563 - mmseg - INFO - Iter [145650/160000] lr: 1.172e-06, eta: 0:59:10, time: 0.201, data_time: 0.007, memory: 52540, decode.loss_ce: 0.0426, decode.acc_seg: 88.0763, decode.kl_loss: 0.0675, loss: 0.1101 +2023-03-06 09:13:30,811 - mmseg - INFO - Iter [145700/160000] lr: 1.172e-06, eta: 0:58:57, time: 0.205, data_time: 0.007, memory: 52540, decode.loss_ce: 0.0416, decode.acc_seg: 88.3844, decode.kl_loss: 0.0655, loss: 0.1071 +2023-03-06 09:13:41,078 - mmseg - INFO - Iter [145750/160000] lr: 1.172e-06, eta: 0:58:45, time: 0.206, data_time: 0.008, memory: 52540, decode.loss_ce: 0.0430, decode.acc_seg: 88.0320, decode.kl_loss: 0.0655, loss: 0.1085 +2023-03-06 09:13:53,457 - mmseg - INFO - Iter [145800/160000] lr: 1.172e-06, eta: 0:58:33, time: 0.247, data_time: 0.052, memory: 52540, decode.loss_ce: 0.0409, decode.acc_seg: 88.5395, decode.kl_loss: 0.0646, loss: 0.1056 +2023-03-06 09:14:03,436 - mmseg - INFO - Iter [145850/160000] lr: 1.172e-06, eta: 0:58:20, time: 0.200, data_time: 0.008, memory: 52540, decode.loss_ce: 0.0418, decode.acc_seg: 88.3827, decode.kl_loss: 0.0671, loss: 0.1088 +2023-03-06 09:14:13,421 - mmseg - INFO - Iter [145900/160000] lr: 1.172e-06, eta: 0:58:07, time: 0.200, data_time: 0.007, memory: 52540, decode.loss_ce: 0.0419, decode.acc_seg: 88.3064, decode.kl_loss: 0.0666, loss: 0.1085 +2023-03-06 09:14:23,363 - mmseg - INFO - Iter [145950/160000] lr: 1.172e-06, eta: 0:57:55, time: 0.199, data_time: 0.007, memory: 52540, decode.loss_ce: 0.0410, decode.acc_seg: 88.5041, decode.kl_loss: 0.0645, loss: 0.1055 +2023-03-06 09:14:33,548 - mmseg - INFO - Exp name: ablation_segformer_mit_b2_segformer_head_unet_fc_small_multi_step_ade_pretrained_freeze_embed_160k_ade20k151_finetune_ema_ce.py +2023-03-06 09:14:33,548 - mmseg - INFO - Iter [146000/160000] lr: 1.172e-06, eta: 0:57:42, time: 0.203, data_time: 0.007, memory: 52540, decode.loss_ce: 0.0427, decode.acc_seg: 88.2326, decode.kl_loss: 0.0652, loss: 0.1078 +2023-03-06 09:14:43,628 - mmseg - INFO - Iter [146050/160000] lr: 1.172e-06, eta: 0:57:30, time: 0.202, data_time: 0.007, memory: 52540, decode.loss_ce: 0.0429, decode.acc_seg: 88.2335, decode.kl_loss: 0.0647, loss: 0.1077 +2023-03-06 09:14:53,614 - mmseg - INFO - Iter [146100/160000] lr: 1.172e-06, eta: 0:57:17, time: 0.199, data_time: 0.007, memory: 52540, decode.loss_ce: 0.0415, decode.acc_seg: 88.4855, decode.kl_loss: 0.0643, loss: 0.1058 +2023-03-06 09:15:03,895 - mmseg - INFO - Iter [146150/160000] lr: 1.172e-06, eta: 0:57:04, time: 0.206, data_time: 0.007, memory: 52540, decode.loss_ce: 0.0434, decode.acc_seg: 87.8197, decode.kl_loss: 0.0669, loss: 0.1103 +2023-03-06 09:15:14,058 - mmseg - INFO - Iter [146200/160000] lr: 1.172e-06, eta: 0:56:52, time: 0.203, data_time: 0.007, memory: 52540, decode.loss_ce: 0.0410, decode.acc_seg: 88.4721, decode.kl_loss: 0.0656, loss: 0.1065 +2023-03-06 09:15:24,305 - mmseg - INFO - Iter [146250/160000] lr: 1.172e-06, eta: 0:56:39, time: 0.205, data_time: 0.007, memory: 52540, decode.loss_ce: 0.0413, decode.acc_seg: 88.4760, decode.kl_loss: 0.0651, loss: 0.1064 +2023-03-06 09:15:34,273 - mmseg - INFO - Iter [146300/160000] lr: 1.172e-06, eta: 0:56:27, time: 0.199, data_time: 0.007, memory: 52540, decode.loss_ce: 0.0430, decode.acc_seg: 88.2648, decode.kl_loss: 0.0639, loss: 0.1069 +2023-03-06 09:15:44,195 - mmseg - INFO - Iter [146350/160000] lr: 1.172e-06, eta: 0:56:14, time: 0.198, data_time: 0.007, memory: 52540, decode.loss_ce: 0.0420, decode.acc_seg: 88.2197, decode.kl_loss: 0.0677, loss: 0.1096 +2023-03-06 09:15:56,850 - mmseg - INFO - Iter [146400/160000] lr: 1.172e-06, eta: 0:56:02, time: 0.253, data_time: 0.055, memory: 52540, decode.loss_ce: 0.0422, decode.acc_seg: 88.0902, decode.kl_loss: 0.0674, loss: 0.1096 +2023-03-06 09:16:06,892 - mmseg - INFO - Iter [146450/160000] lr: 1.172e-06, eta: 0:55:49, time: 0.201, data_time: 0.007, memory: 52540, decode.loss_ce: 0.0413, decode.acc_seg: 88.4991, decode.kl_loss: 0.0654, loss: 0.1067 +2023-03-06 09:16:16,896 - mmseg - INFO - Iter [146500/160000] lr: 1.172e-06, eta: 0:55:37, time: 0.200, data_time: 0.007, memory: 52540, decode.loss_ce: 0.0411, decode.acc_seg: 88.4465, decode.kl_loss: 0.0648, loss: 0.1059 +2023-03-06 09:16:27,052 - mmseg - INFO - Iter [146550/160000] lr: 1.172e-06, eta: 0:55:24, time: 0.203, data_time: 0.007, memory: 52540, decode.loss_ce: 0.0418, decode.acc_seg: 88.1630, decode.kl_loss: 0.0657, loss: 0.1075 +2023-03-06 09:16:36,997 - mmseg - INFO - Iter [146600/160000] lr: 1.172e-06, eta: 0:55:11, time: 0.199, data_time: 0.007, memory: 52540, decode.loss_ce: 0.0418, decode.acc_seg: 88.2855, decode.kl_loss: 0.0691, loss: 0.1110 +2023-03-06 09:16:47,053 - mmseg - INFO - Iter [146650/160000] lr: 1.172e-06, eta: 0:54:59, time: 0.201, data_time: 0.007, memory: 52540, decode.loss_ce: 0.0426, decode.acc_seg: 88.2268, decode.kl_loss: 0.0667, loss: 0.1093 +2023-03-06 09:16:56,968 - mmseg - INFO - Iter [146700/160000] lr: 1.172e-06, eta: 0:54:46, time: 0.198, data_time: 0.007, memory: 52540, decode.loss_ce: 0.0411, decode.acc_seg: 88.5097, decode.kl_loss: 0.0651, loss: 0.1062 +2023-03-06 09:17:07,071 - mmseg - INFO - Iter [146750/160000] lr: 1.172e-06, eta: 0:54:34, time: 0.202, data_time: 0.007, memory: 52540, decode.loss_ce: 0.0418, decode.acc_seg: 88.2330, decode.kl_loss: 0.0678, loss: 0.1096 +2023-03-06 09:17:17,194 - mmseg - INFO - Iter [146800/160000] lr: 1.172e-06, eta: 0:54:21, time: 0.202, data_time: 0.008, memory: 52540, decode.loss_ce: 0.0420, decode.acc_seg: 88.4908, decode.kl_loss: 0.0648, loss: 0.1068 +2023-03-06 09:17:27,321 - mmseg - INFO - Iter [146850/160000] lr: 1.172e-06, eta: 0:54:09, time: 0.203, data_time: 0.007, memory: 52540, decode.loss_ce: 0.0417, decode.acc_seg: 88.3957, decode.kl_loss: 0.0657, loss: 0.1074 +2023-03-06 09:17:37,808 - mmseg - INFO - Iter [146900/160000] lr: 1.172e-06, eta: 0:53:56, time: 0.210, data_time: 0.007, memory: 52540, decode.loss_ce: 0.0409, decode.acc_seg: 88.5389, decode.kl_loss: 0.0666, loss: 0.1075 +2023-03-06 09:17:47,969 - mmseg - INFO - Iter [146950/160000] lr: 1.172e-06, eta: 0:53:44, time: 0.203, data_time: 0.007, memory: 52540, decode.loss_ce: 0.0423, decode.acc_seg: 88.2946, decode.kl_loss: 0.0685, loss: 0.1109 +2023-03-06 09:17:58,065 - mmseg - INFO - Exp name: ablation_segformer_mit_b2_segformer_head_unet_fc_small_multi_step_ade_pretrained_freeze_embed_160k_ade20k151_finetune_ema_ce.py +2023-03-06 09:17:58,066 - mmseg - INFO - Iter [147000/160000] lr: 1.172e-06, eta: 0:53:31, time: 0.202, data_time: 0.007, memory: 52540, decode.loss_ce: 0.0423, decode.acc_seg: 88.2385, decode.kl_loss: 0.0659, loss: 0.1082 +2023-03-06 09:18:10,607 - mmseg - INFO - Iter [147050/160000] lr: 1.172e-06, eta: 0:53:19, time: 0.251, data_time: 0.055, memory: 52540, decode.loss_ce: 0.0419, decode.acc_seg: 88.2188, decode.kl_loss: 0.0663, loss: 0.1083 +2023-03-06 09:18:20,604 - mmseg - INFO - Iter [147100/160000] lr: 1.172e-06, eta: 0:53:06, time: 0.200, data_time: 0.007, memory: 52540, decode.loss_ce: 0.0418, decode.acc_seg: 88.4005, decode.kl_loss: 0.0647, loss: 0.1065 +2023-03-06 09:18:30,492 - mmseg - INFO - Iter [147150/160000] lr: 1.172e-06, eta: 0:52:54, time: 0.198, data_time: 0.007, memory: 52540, decode.loss_ce: 0.0434, decode.acc_seg: 88.0402, decode.kl_loss: 0.0669, loss: 0.1103 +2023-03-06 09:18:40,432 - mmseg - INFO - Iter [147200/160000] lr: 1.172e-06, eta: 0:52:41, time: 0.199, data_time: 0.007, memory: 52540, decode.loss_ce: 0.0422, decode.acc_seg: 88.1691, decode.kl_loss: 0.0667, loss: 0.1089 +2023-03-06 09:18:50,444 - mmseg - INFO - Iter [147250/160000] lr: 1.172e-06, eta: 0:52:28, time: 0.200, data_time: 0.007, memory: 52540, decode.loss_ce: 0.0421, decode.acc_seg: 88.2619, decode.kl_loss: 0.0661, loss: 0.1082 +2023-03-06 09:19:00,491 - mmseg - INFO - Iter [147300/160000] lr: 1.172e-06, eta: 0:52:16, time: 0.201, data_time: 0.007, memory: 52540, decode.loss_ce: 0.0416, decode.acc_seg: 88.1661, decode.kl_loss: 0.0663, loss: 0.1079 +2023-03-06 09:19:10,365 - mmseg - INFO - Iter [147350/160000] lr: 1.172e-06, eta: 0:52:03, time: 0.198, data_time: 0.007, memory: 52540, decode.loss_ce: 0.0405, decode.acc_seg: 88.5398, decode.kl_loss: 0.0640, loss: 0.1045 +2023-03-06 09:19:20,363 - mmseg - INFO - Iter [147400/160000] lr: 1.172e-06, eta: 0:51:51, time: 0.200, data_time: 0.007, memory: 52540, decode.loss_ce: 0.0419, decode.acc_seg: 88.1274, decode.kl_loss: 0.0686, loss: 0.1105 +2023-03-06 09:19:30,327 - mmseg - INFO - Iter [147450/160000] lr: 1.172e-06, eta: 0:51:38, time: 0.199, data_time: 0.007, memory: 52540, decode.loss_ce: 0.0418, decode.acc_seg: 88.4826, decode.kl_loss: 0.0656, loss: 0.1074 +2023-03-06 09:19:40,463 - mmseg - INFO - Iter [147500/160000] lr: 1.172e-06, eta: 0:51:26, time: 0.203, data_time: 0.007, memory: 52540, decode.loss_ce: 0.0410, decode.acc_seg: 88.4376, decode.kl_loss: 0.0656, loss: 0.1067 +2023-03-06 09:19:50,401 - mmseg - INFO - Iter [147550/160000] lr: 1.172e-06, eta: 0:51:13, time: 0.199, data_time: 0.007, memory: 52540, decode.loss_ce: 0.0400, decode.acc_seg: 88.7347, decode.kl_loss: 0.0666, loss: 0.1066 +2023-03-06 09:20:00,282 - mmseg - INFO - Iter [147600/160000] lr: 1.172e-06, eta: 0:51:01, time: 0.198, data_time: 0.007, memory: 52540, decode.loss_ce: 0.0424, decode.acc_seg: 88.2106, decode.kl_loss: 0.0669, loss: 0.1092 +2023-03-06 09:20:10,297 - mmseg - INFO - Iter [147650/160000] lr: 1.172e-06, eta: 0:50:48, time: 0.200, data_time: 0.007, memory: 52540, decode.loss_ce: 0.0415, decode.acc_seg: 88.4405, decode.kl_loss: 0.0652, loss: 0.1067 +2023-03-06 09:20:23,111 - mmseg - INFO - Iter [147700/160000] lr: 1.172e-06, eta: 0:50:36, time: 0.256, data_time: 0.057, memory: 52540, decode.loss_ce: 0.0405, decode.acc_seg: 88.5103, decode.kl_loss: 0.0664, loss: 0.1069 +2023-03-06 09:20:33,208 - mmseg - INFO - Iter [147750/160000] lr: 1.172e-06, eta: 0:50:23, time: 0.202, data_time: 0.007, memory: 52540, decode.loss_ce: 0.0416, decode.acc_seg: 88.3565, decode.kl_loss: 0.0658, loss: 0.1074 +2023-03-06 09:20:43,189 - mmseg - INFO - Iter [147800/160000] lr: 1.172e-06, eta: 0:50:11, time: 0.199, data_time: 0.007, memory: 52540, decode.loss_ce: 0.0426, decode.acc_seg: 88.2074, decode.kl_loss: 0.0659, loss: 0.1084 +2023-03-06 09:20:53,354 - mmseg - INFO - Iter [147850/160000] lr: 1.172e-06, eta: 0:49:58, time: 0.203, data_time: 0.007, memory: 52540, decode.loss_ce: 0.0419, decode.acc_seg: 88.1955, decode.kl_loss: 0.0660, loss: 0.1079 +2023-03-06 09:21:03,393 - mmseg - INFO - Iter [147900/160000] lr: 1.172e-06, eta: 0:49:46, time: 0.201, data_time: 0.008, memory: 52540, decode.loss_ce: 0.0412, decode.acc_seg: 88.4849, decode.kl_loss: 0.0630, loss: 0.1042 +2023-03-06 09:21:13,652 - mmseg - INFO - Iter [147950/160000] lr: 1.172e-06, eta: 0:49:33, time: 0.205, data_time: 0.007, memory: 52540, decode.loss_ce: 0.0394, decode.acc_seg: 88.8507, decode.kl_loss: 0.0638, loss: 0.1032 +2023-03-06 09:21:23,545 - mmseg - INFO - Exp name: ablation_segformer_mit_b2_segformer_head_unet_fc_small_multi_step_ade_pretrained_freeze_embed_160k_ade20k151_finetune_ema_ce.py +2023-03-06 09:21:23,545 - mmseg - INFO - Iter [148000/160000] lr: 1.172e-06, eta: 0:49:21, time: 0.198, data_time: 0.007, memory: 52540, decode.loss_ce: 0.0409, decode.acc_seg: 88.8478, decode.kl_loss: 0.0634, loss: 0.1043 +2023-03-06 09:21:33,571 - mmseg - INFO - Iter [148050/160000] lr: 1.172e-06, eta: 0:49:08, time: 0.201, data_time: 0.007, memory: 52540, decode.loss_ce: 0.0401, decode.acc_seg: 88.8765, decode.kl_loss: 0.0622, loss: 0.1023 +2023-03-06 09:21:43,702 - mmseg - INFO - Iter [148100/160000] lr: 1.172e-06, eta: 0:48:56, time: 0.203, data_time: 0.007, memory: 52540, decode.loss_ce: 0.0405, decode.acc_seg: 88.8643, decode.kl_loss: 0.0635, loss: 0.1040 +2023-03-06 09:21:53,759 - mmseg - INFO - Iter [148150/160000] lr: 1.172e-06, eta: 0:48:43, time: 0.201, data_time: 0.007, memory: 52540, decode.loss_ce: 0.0404, decode.acc_seg: 88.5684, decode.kl_loss: 0.0655, loss: 0.1060 +2023-03-06 09:22:03,917 - mmseg - INFO - Iter [148200/160000] lr: 1.172e-06, eta: 0:48:31, time: 0.203, data_time: 0.007, memory: 52540, decode.loss_ce: 0.0413, decode.acc_seg: 88.3487, decode.kl_loss: 0.0666, loss: 0.1079 +2023-03-06 09:22:14,175 - mmseg - INFO - Iter [148250/160000] lr: 1.172e-06, eta: 0:48:18, time: 0.205, data_time: 0.007, memory: 52540, decode.loss_ce: 0.0415, decode.acc_seg: 88.4601, decode.kl_loss: 0.0648, loss: 0.1063 +2023-03-06 09:22:26,530 - mmseg - INFO - Iter [148300/160000] lr: 1.172e-06, eta: 0:48:06, time: 0.247, data_time: 0.055, memory: 52540, decode.loss_ce: 0.0402, decode.acc_seg: 88.8115, decode.kl_loss: 0.0645, loss: 0.1047 +2023-03-06 09:22:36,478 - mmseg - INFO - Iter [148350/160000] lr: 1.172e-06, eta: 0:47:53, time: 0.199, data_time: 0.007, memory: 52540, decode.loss_ce: 0.0419, decode.acc_seg: 88.3857, decode.kl_loss: 0.0679, loss: 0.1098 +2023-03-06 09:22:46,615 - mmseg - INFO - Iter [148400/160000] lr: 1.172e-06, eta: 0:47:41, time: 0.202, data_time: 0.007, memory: 52540, decode.loss_ce: 0.0404, decode.acc_seg: 88.5841, decode.kl_loss: 0.0643, loss: 0.1046 +2023-03-06 09:22:57,017 - mmseg - INFO - Iter [148450/160000] lr: 1.172e-06, eta: 0:47:28, time: 0.208, data_time: 0.007, memory: 52540, decode.loss_ce: 0.0413, decode.acc_seg: 88.4405, decode.kl_loss: 0.0649, loss: 0.1061 +2023-03-06 09:23:07,189 - mmseg - INFO - Iter [148500/160000] lr: 1.172e-06, eta: 0:47:16, time: 0.203, data_time: 0.007, memory: 52540, decode.loss_ce: 0.0419, decode.acc_seg: 88.3871, decode.kl_loss: 0.0644, loss: 0.1063 +2023-03-06 09:23:17,138 - mmseg - INFO - Iter [148550/160000] lr: 1.172e-06, eta: 0:47:03, time: 0.199, data_time: 0.007, memory: 52540, decode.loss_ce: 0.0402, decode.acc_seg: 88.7492, decode.kl_loss: 0.0638, loss: 0.1041 +2023-03-06 09:23:27,211 - mmseg - INFO - Iter [148600/160000] lr: 1.172e-06, eta: 0:46:51, time: 0.202, data_time: 0.007, memory: 52540, decode.loss_ce: 0.0397, decode.acc_seg: 88.9077, decode.kl_loss: 0.0634, loss: 0.1031 +2023-03-06 09:23:37,193 - mmseg - INFO - Iter [148650/160000] lr: 1.172e-06, eta: 0:46:38, time: 0.200, data_time: 0.007, memory: 52540, decode.loss_ce: 0.0412, decode.acc_seg: 88.5392, decode.kl_loss: 0.0638, loss: 0.1050 +2023-03-06 09:23:47,344 - mmseg - INFO - Iter [148700/160000] lr: 1.172e-06, eta: 0:46:26, time: 0.203, data_time: 0.007, memory: 52540, decode.loss_ce: 0.0414, decode.acc_seg: 88.3550, decode.kl_loss: 0.0647, loss: 0.1061 +2023-03-06 09:23:57,264 - mmseg - INFO - Iter [148750/160000] lr: 1.172e-06, eta: 0:46:13, time: 0.198, data_time: 0.007, memory: 52540, decode.loss_ce: 0.0400, decode.acc_seg: 88.7341, decode.kl_loss: 0.0632, loss: 0.1032 +2023-03-06 09:24:07,526 - mmseg - INFO - Iter [148800/160000] lr: 1.172e-06, eta: 0:46:01, time: 0.205, data_time: 0.007, memory: 52540, decode.loss_ce: 0.0407, decode.acc_seg: 88.5740, decode.kl_loss: 0.0664, loss: 0.1071 +2023-03-06 09:24:17,512 - mmseg - INFO - Iter [148850/160000] lr: 1.172e-06, eta: 0:45:48, time: 0.200, data_time: 0.007, memory: 52540, decode.loss_ce: 0.0407, decode.acc_seg: 88.6005, decode.kl_loss: 0.0669, loss: 0.1076 +2023-03-06 09:24:27,400 - mmseg - INFO - Iter [148900/160000] lr: 1.172e-06, eta: 0:45:36, time: 0.198, data_time: 0.007, memory: 52540, decode.loss_ce: 0.0400, decode.acc_seg: 88.8113, decode.kl_loss: 0.0640, loss: 0.1040 +2023-03-06 09:24:39,820 - mmseg - INFO - Iter [148950/160000] lr: 1.172e-06, eta: 0:45:23, time: 0.248, data_time: 0.053, memory: 52540, decode.loss_ce: 0.0415, decode.acc_seg: 88.3829, decode.kl_loss: 0.0674, loss: 0.1089 +2023-03-06 09:24:49,855 - mmseg - INFO - Exp name: ablation_segformer_mit_b2_segformer_head_unet_fc_small_multi_step_ade_pretrained_freeze_embed_160k_ade20k151_finetune_ema_ce.py +2023-03-06 09:24:49,856 - mmseg - INFO - Iter [149000/160000] lr: 1.172e-06, eta: 0:45:11, time: 0.201, data_time: 0.007, memory: 52540, decode.loss_ce: 0.0410, decode.acc_seg: 88.5925, decode.kl_loss: 0.0653, loss: 0.1062 +2023-03-06 09:24:59,735 - mmseg - INFO - Iter [149050/160000] lr: 1.172e-06, eta: 0:44:58, time: 0.198, data_time: 0.007, memory: 52540, decode.loss_ce: 0.0402, decode.acc_seg: 88.7255, decode.kl_loss: 0.0656, loss: 0.1058 +2023-03-06 09:25:09,898 - mmseg - INFO - Iter [149100/160000] lr: 1.172e-06, eta: 0:44:46, time: 0.203, data_time: 0.007, memory: 52540, decode.loss_ce: 0.0412, decode.acc_seg: 88.4280, decode.kl_loss: 0.0652, loss: 0.1064 +2023-03-06 09:25:19,882 - mmseg - INFO - Iter [149150/160000] lr: 1.172e-06, eta: 0:44:33, time: 0.199, data_time: 0.007, memory: 52540, decode.loss_ce: 0.0399, decode.acc_seg: 88.7308, decode.kl_loss: 0.0625, loss: 0.1025 +2023-03-06 09:25:30,099 - mmseg - INFO - Iter [149200/160000] lr: 1.172e-06, eta: 0:44:21, time: 0.205, data_time: 0.007, memory: 52540, decode.loss_ce: 0.0403, decode.acc_seg: 88.6957, decode.kl_loss: 0.0642, loss: 0.1045 +2023-03-06 09:25:40,222 - mmseg - INFO - Iter [149250/160000] lr: 1.172e-06, eta: 0:44:08, time: 0.202, data_time: 0.007, memory: 52540, decode.loss_ce: 0.0396, decode.acc_seg: 88.8356, decode.kl_loss: 0.0663, loss: 0.1060 +2023-03-06 09:25:50,209 - mmseg - INFO - Iter [149300/160000] lr: 1.172e-06, eta: 0:43:56, time: 0.200, data_time: 0.007, memory: 52540, decode.loss_ce: 0.0415, decode.acc_seg: 88.6617, decode.kl_loss: 0.0637, loss: 0.1052 +2023-03-06 09:26:00,320 - mmseg - INFO - Iter [149350/160000] lr: 1.172e-06, eta: 0:43:43, time: 0.202, data_time: 0.007, memory: 52540, decode.loss_ce: 0.0408, decode.acc_seg: 88.6128, decode.kl_loss: 0.0640, loss: 0.1047 +2023-03-06 09:26:10,209 - mmseg - INFO - Iter [149400/160000] lr: 1.172e-06, eta: 0:43:31, time: 0.198, data_time: 0.007, memory: 52540, decode.loss_ce: 0.0399, decode.acc_seg: 88.7705, decode.kl_loss: 0.0655, loss: 0.1053 +2023-03-06 09:26:20,334 - mmseg - INFO - Iter [149450/160000] lr: 1.172e-06, eta: 0:43:18, time: 0.202, data_time: 0.007, memory: 52540, decode.loss_ce: 0.0409, decode.acc_seg: 88.4869, decode.kl_loss: 0.0634, loss: 0.1043 +2023-03-06 09:26:30,390 - mmseg - INFO - Iter [149500/160000] lr: 1.172e-06, eta: 0:43:06, time: 0.201, data_time: 0.007, memory: 52540, decode.loss_ce: 0.0410, decode.acc_seg: 88.5398, decode.kl_loss: 0.0646, loss: 0.1056 +2023-03-06 09:26:43,152 - mmseg - INFO - Iter [149550/160000] lr: 1.172e-06, eta: 0:42:54, time: 0.255, data_time: 0.057, memory: 52540, decode.loss_ce: 0.0405, decode.acc_seg: 88.4672, decode.kl_loss: 0.0660, loss: 0.1065 +2023-03-06 09:26:53,458 - mmseg - INFO - Iter [149600/160000] lr: 1.172e-06, eta: 0:42:41, time: 0.206, data_time: 0.008, memory: 52540, decode.loss_ce: 0.0404, decode.acc_seg: 88.7870, decode.kl_loss: 0.0632, loss: 0.1036 +2023-03-06 09:27:03,433 - mmseg - INFO - Iter [149650/160000] lr: 1.172e-06, eta: 0:42:29, time: 0.199, data_time: 0.007, memory: 52540, decode.loss_ce: 0.0413, decode.acc_seg: 88.4142, decode.kl_loss: 0.0655, loss: 0.1068 +2023-03-06 09:27:13,401 - mmseg - INFO - Iter [149700/160000] lr: 1.172e-06, eta: 0:42:16, time: 0.199, data_time: 0.007, memory: 52540, decode.loss_ce: 0.0395, decode.acc_seg: 88.7461, decode.kl_loss: 0.0649, loss: 0.1044 +2023-03-06 09:27:23,577 - mmseg - INFO - Iter [149750/160000] lr: 1.172e-06, eta: 0:42:04, time: 0.204, data_time: 0.007, memory: 52540, decode.loss_ce: 0.0400, decode.acc_seg: 88.7787, decode.kl_loss: 0.0653, loss: 0.1053 +2023-03-06 09:27:33,588 - mmseg - INFO - Iter [149800/160000] lr: 1.172e-06, eta: 0:41:51, time: 0.200, data_time: 0.007, memory: 52540, decode.loss_ce: 0.0414, decode.acc_seg: 88.5318, decode.kl_loss: 0.0646, loss: 0.1060 +2023-03-06 09:27:43,588 - mmseg - INFO - Iter [149850/160000] lr: 1.172e-06, eta: 0:41:39, time: 0.200, data_time: 0.007, memory: 52540, decode.loss_ce: 0.0409, decode.acc_seg: 88.6513, decode.kl_loss: 0.0638, loss: 0.1047 +2023-03-06 09:27:53,748 - mmseg - INFO - Iter [149900/160000] lr: 1.172e-06, eta: 0:41:26, time: 0.203, data_time: 0.007, memory: 52540, decode.loss_ce: 0.0406, decode.acc_seg: 88.7658, decode.kl_loss: 0.0638, loss: 0.1044 +2023-03-06 09:28:03,852 - mmseg - INFO - Iter [149950/160000] lr: 1.172e-06, eta: 0:41:14, time: 0.202, data_time: 0.007, memory: 52540, decode.loss_ce: 0.0407, decode.acc_seg: 88.5926, decode.kl_loss: 0.0630, loss: 0.1037 +2023-03-06 09:28:14,007 - mmseg - INFO - Exp name: ablation_segformer_mit_b2_segformer_head_unet_fc_small_multi_step_ade_pretrained_freeze_embed_160k_ade20k151_finetune_ema_ce.py +2023-03-06 09:28:14,007 - mmseg - INFO - Iter [150000/160000] lr: 1.172e-06, eta: 0:41:02, time: 0.203, data_time: 0.007, memory: 52540, decode.loss_ce: 0.0406, decode.acc_seg: 88.8128, decode.kl_loss: 0.0640, loss: 0.1046 +2023-03-06 09:28:24,208 - mmseg - INFO - Iter [150050/160000] lr: 1.172e-06, eta: 0:40:49, time: 0.204, data_time: 0.007, memory: 52540, decode.loss_ce: 0.0416, decode.acc_seg: 88.3619, decode.kl_loss: 0.0637, loss: 0.1053 +2023-03-06 09:28:34,227 - mmseg - INFO - Iter [150100/160000] lr: 1.172e-06, eta: 0:40:37, time: 0.200, data_time: 0.007, memory: 52540, decode.loss_ce: 0.0408, decode.acc_seg: 88.6205, decode.kl_loss: 0.0638, loss: 0.1046 +2023-03-06 09:28:44,346 - mmseg - INFO - Iter [150150/160000] lr: 1.172e-06, eta: 0:40:24, time: 0.202, data_time: 0.007, memory: 52540, decode.loss_ce: 0.0403, decode.acc_seg: 88.8443, decode.kl_loss: 0.0629, loss: 0.1032 +2023-03-06 09:28:56,821 - mmseg - INFO - Iter [150200/160000] lr: 1.172e-06, eta: 0:40:12, time: 0.250, data_time: 0.054, memory: 52540, decode.loss_ce: 0.0412, decode.acc_seg: 88.5830, decode.kl_loss: 0.0645, loss: 0.1056 +2023-03-06 09:29:06,866 - mmseg - INFO - Iter [150250/160000] lr: 1.172e-06, eta: 0:39:59, time: 0.201, data_time: 0.007, memory: 52540, decode.loss_ce: 0.0419, decode.acc_seg: 88.3671, decode.kl_loss: 0.0641, loss: 0.1060 +2023-03-06 09:29:17,096 - mmseg - INFO - Iter [150300/160000] lr: 1.172e-06, eta: 0:39:47, time: 0.204, data_time: 0.007, memory: 52540, decode.loss_ce: 0.0409, decode.acc_seg: 88.5014, decode.kl_loss: 0.0656, loss: 0.1065 +2023-03-06 09:29:27,305 - mmseg - INFO - Iter [150350/160000] lr: 1.172e-06, eta: 0:39:35, time: 0.204, data_time: 0.007, memory: 52540, decode.loss_ce: 0.0400, decode.acc_seg: 88.7402, decode.kl_loss: 0.0642, loss: 0.1042 +2023-03-06 09:29:37,363 - mmseg - INFO - Iter [150400/160000] lr: 1.172e-06, eta: 0:39:22, time: 0.201, data_time: 0.007, memory: 52540, decode.loss_ce: 0.0414, decode.acc_seg: 88.5267, decode.kl_loss: 0.0664, loss: 0.1078 +2023-03-06 09:29:47,635 - mmseg - INFO - Iter [150450/160000] lr: 1.172e-06, eta: 0:39:10, time: 0.205, data_time: 0.007, memory: 52540, decode.loss_ce: 0.0399, decode.acc_seg: 88.8567, decode.kl_loss: 0.0634, loss: 0.1033 +2023-03-06 09:29:57,777 - mmseg - INFO - Iter [150500/160000] lr: 1.172e-06, eta: 0:38:57, time: 0.203, data_time: 0.007, memory: 52540, decode.loss_ce: 0.0396, decode.acc_seg: 88.7583, decode.kl_loss: 0.0642, loss: 0.1038 +2023-03-06 09:30:07,830 - mmseg - INFO - Iter [150550/160000] lr: 1.172e-06, eta: 0:38:45, time: 0.201, data_time: 0.007, memory: 52540, decode.loss_ce: 0.0395, decode.acc_seg: 88.9286, decode.kl_loss: 0.0630, loss: 0.1025 +2023-03-06 09:30:17,822 - mmseg - INFO - Iter [150600/160000] lr: 1.172e-06, eta: 0:38:32, time: 0.200, data_time: 0.007, memory: 52540, decode.loss_ce: 0.0401, decode.acc_seg: 88.7915, decode.kl_loss: 0.0624, loss: 0.1025 +2023-03-06 09:30:27,881 - mmseg - INFO - Iter [150650/160000] lr: 1.172e-06, eta: 0:38:20, time: 0.201, data_time: 0.007, memory: 52540, decode.loss_ce: 0.0399, decode.acc_seg: 88.8439, decode.kl_loss: 0.0632, loss: 0.1032 +2023-03-06 09:30:38,065 - mmseg - INFO - Iter [150700/160000] lr: 1.172e-06, eta: 0:38:07, time: 0.204, data_time: 0.007, memory: 52540, decode.loss_ce: 0.0394, decode.acc_seg: 89.1327, decode.kl_loss: 0.0625, loss: 0.1019 +2023-03-06 09:30:47,981 - mmseg - INFO - Iter [150750/160000] lr: 1.172e-06, eta: 0:37:55, time: 0.198, data_time: 0.007, memory: 52540, decode.loss_ce: 0.0401, decode.acc_seg: 88.7939, decode.kl_loss: 0.0624, loss: 0.1024 +2023-03-06 09:30:57,945 - mmseg - INFO - Iter [150800/160000] lr: 1.172e-06, eta: 0:37:43, time: 0.199, data_time: 0.007, memory: 52540, decode.loss_ce: 0.0418, decode.acc_seg: 88.3279, decode.kl_loss: 0.0643, loss: 0.1061 +2023-03-06 09:31:10,447 - mmseg - INFO - Iter [150850/160000] lr: 1.172e-06, eta: 0:37:30, time: 0.250, data_time: 0.055, memory: 52540, decode.loss_ce: 0.0393, decode.acc_seg: 88.9382, decode.kl_loss: 0.0623, loss: 0.1016 +2023-03-06 09:31:20,397 - mmseg - INFO - Iter [150900/160000] lr: 1.172e-06, eta: 0:37:18, time: 0.199, data_time: 0.007, memory: 52540, decode.loss_ce: 0.0402, decode.acc_seg: 88.7199, decode.kl_loss: 0.0658, loss: 0.1061 +2023-03-06 09:31:30,769 - mmseg - INFO - Iter [150950/160000] lr: 1.172e-06, eta: 0:37:05, time: 0.207, data_time: 0.008, memory: 52540, decode.loss_ce: 0.0395, decode.acc_seg: 88.9023, decode.kl_loss: 0.0627, loss: 0.1022 +2023-03-06 09:31:40,827 - mmseg - INFO - Exp name: ablation_segformer_mit_b2_segformer_head_unet_fc_small_multi_step_ade_pretrained_freeze_embed_160k_ade20k151_finetune_ema_ce.py +2023-03-06 09:31:40,827 - mmseg - INFO - Iter [151000/160000] lr: 1.172e-06, eta: 0:36:53, time: 0.201, data_time: 0.007, memory: 52540, decode.loss_ce: 0.0401, decode.acc_seg: 88.8123, decode.kl_loss: 0.0623, loss: 0.1023 +2023-03-06 09:31:50,741 - mmseg - INFO - Iter [151050/160000] lr: 1.172e-06, eta: 0:36:41, time: 0.198, data_time: 0.007, memory: 52540, decode.loss_ce: 0.0408, decode.acc_seg: 88.5088, decode.kl_loss: 0.0633, loss: 0.1041 +2023-03-06 09:32:00,755 - mmseg - INFO - Iter [151100/160000] lr: 1.172e-06, eta: 0:36:28, time: 0.200, data_time: 0.007, memory: 52540, decode.loss_ce: 0.0409, decode.acc_seg: 88.6420, decode.kl_loss: 0.0641, loss: 0.1050 +2023-03-06 09:32:10,819 - mmseg - INFO - Iter [151150/160000] lr: 1.172e-06, eta: 0:36:16, time: 0.201, data_time: 0.007, memory: 52540, decode.loss_ce: 0.0425, decode.acc_seg: 88.5038, decode.kl_loss: 0.0640, loss: 0.1065 +2023-03-06 09:32:20,879 - mmseg - INFO - Iter [151200/160000] lr: 1.172e-06, eta: 0:36:03, time: 0.201, data_time: 0.007, memory: 52540, decode.loss_ce: 0.0400, decode.acc_seg: 88.6653, decode.kl_loss: 0.0643, loss: 0.1044 +2023-03-06 09:32:30,893 - mmseg - INFO - Iter [151250/160000] lr: 1.172e-06, eta: 0:35:51, time: 0.200, data_time: 0.007, memory: 52540, decode.loss_ce: 0.0402, decode.acc_seg: 88.6713, decode.kl_loss: 0.0641, loss: 0.1043 +2023-03-06 09:32:40,867 - mmseg - INFO - Iter [151300/160000] lr: 1.172e-06, eta: 0:35:38, time: 0.199, data_time: 0.007, memory: 52540, decode.loss_ce: 0.0399, decode.acc_seg: 88.8171, decode.kl_loss: 0.0640, loss: 0.1039 +2023-03-06 09:32:50,949 - mmseg - INFO - Iter [151350/160000] lr: 1.172e-06, eta: 0:35:26, time: 0.202, data_time: 0.007, memory: 52540, decode.loss_ce: 0.0403, decode.acc_seg: 88.8738, decode.kl_loss: 0.0647, loss: 0.1050 +2023-03-06 09:33:01,226 - mmseg - INFO - Iter [151400/160000] lr: 1.172e-06, eta: 0:35:14, time: 0.206, data_time: 0.007, memory: 52540, decode.loss_ce: 0.0402, decode.acc_seg: 88.7300, decode.kl_loss: 0.0621, loss: 0.1022 +2023-03-06 09:33:14,288 - mmseg - INFO - Iter [151450/160000] lr: 1.172e-06, eta: 0:35:01, time: 0.261, data_time: 0.054, memory: 52540, decode.loss_ce: 0.0399, decode.acc_seg: 88.8692, decode.kl_loss: 0.0637, loss: 0.1036 +2023-03-06 09:33:24,828 - mmseg - INFO - Iter [151500/160000] lr: 1.172e-06, eta: 0:34:49, time: 0.211, data_time: 0.006, memory: 52540, decode.loss_ce: 0.0394, decode.acc_seg: 89.0038, decode.kl_loss: 0.0641, loss: 0.1034 +2023-03-06 09:33:34,775 - mmseg - INFO - Iter [151550/160000] lr: 1.172e-06, eta: 0:34:37, time: 0.199, data_time: 0.007, memory: 52540, decode.loss_ce: 0.0408, decode.acc_seg: 88.7560, decode.kl_loss: 0.0639, loss: 0.1047 +2023-03-06 09:33:44,898 - mmseg - INFO - Iter [151600/160000] lr: 1.172e-06, eta: 0:34:24, time: 0.202, data_time: 0.007, memory: 52540, decode.loss_ce: 0.0401, decode.acc_seg: 88.8703, decode.kl_loss: 0.0634, loss: 0.1035 +2023-03-06 09:33:55,166 - mmseg - INFO - Iter [151650/160000] lr: 1.172e-06, eta: 0:34:12, time: 0.206, data_time: 0.007, memory: 52540, decode.loss_ce: 0.0407, decode.acc_seg: 88.7334, decode.kl_loss: 0.0627, loss: 0.1034 +2023-03-06 09:34:05,270 - mmseg - INFO - Iter [151700/160000] lr: 1.172e-06, eta: 0:33:59, time: 0.202, data_time: 0.007, memory: 52540, decode.loss_ce: 0.0402, decode.acc_seg: 88.6791, decode.kl_loss: 0.0657, loss: 0.1059 +2023-03-06 09:34:15,236 - mmseg - INFO - Iter [151750/160000] lr: 1.172e-06, eta: 0:33:47, time: 0.200, data_time: 0.007, memory: 52540, decode.loss_ce: 0.0428, decode.acc_seg: 88.0787, decode.kl_loss: 0.0666, loss: 0.1095 +2023-03-06 09:34:25,549 - mmseg - INFO - Iter [151800/160000] lr: 1.172e-06, eta: 0:33:35, time: 0.206, data_time: 0.007, memory: 52540, decode.loss_ce: 0.0426, decode.acc_seg: 87.9811, decode.kl_loss: 0.0677, loss: 0.1103 +2023-03-06 09:34:35,660 - mmseg - INFO - Iter [151850/160000] lr: 1.172e-06, eta: 0:33:22, time: 0.202, data_time: 0.007, memory: 52540, decode.loss_ce: 0.0437, decode.acc_seg: 87.9508, decode.kl_loss: 0.0668, loss: 0.1105 +2023-03-06 09:34:45,745 - mmseg - INFO - Iter [151900/160000] lr: 1.172e-06, eta: 0:33:10, time: 0.202, data_time: 0.007, memory: 52540, decode.loss_ce: 0.0424, decode.acc_seg: 88.1608, decode.kl_loss: 0.0655, loss: 0.1078 +2023-03-06 09:34:55,679 - mmseg - INFO - Iter [151950/160000] lr: 1.172e-06, eta: 0:32:57, time: 0.199, data_time: 0.007, memory: 52540, decode.loss_ce: 0.0440, decode.acc_seg: 87.8612, decode.kl_loss: 0.0668, loss: 0.1108 +2023-03-06 09:35:05,632 - mmseg - INFO - Exp name: ablation_segformer_mit_b2_segformer_head_unet_fc_small_multi_step_ade_pretrained_freeze_embed_160k_ade20k151_finetune_ema_ce.py +2023-03-06 09:35:05,632 - mmseg - INFO - Iter [152000/160000] lr: 1.172e-06, eta: 0:32:45, time: 0.199, data_time: 0.007, memory: 52540, decode.loss_ce: 0.0421, decode.acc_seg: 88.3661, decode.kl_loss: 0.0646, loss: 0.1066 +2023-03-06 09:35:15,787 - mmseg - INFO - Iter [152050/160000] lr: 1.172e-06, eta: 0:32:32, time: 0.203, data_time: 0.007, memory: 52540, decode.loss_ce: 0.0427, decode.acc_seg: 88.2463, decode.kl_loss: 0.0646, loss: 0.1073 +2023-03-06 09:35:28,358 - mmseg - INFO - Iter [152100/160000] lr: 1.172e-06, eta: 0:32:20, time: 0.251, data_time: 0.053, memory: 52540, decode.loss_ce: 0.0427, decode.acc_seg: 88.1130, decode.kl_loss: 0.0686, loss: 0.1113 +2023-03-06 09:35:38,485 - mmseg - INFO - Iter [152150/160000] lr: 1.172e-06, eta: 0:32:08, time: 0.203, data_time: 0.007, memory: 52540, decode.loss_ce: 0.0426, decode.acc_seg: 88.1073, decode.kl_loss: 0.0690, loss: 0.1116 +2023-03-06 09:35:48,651 - mmseg - INFO - Iter [152200/160000] lr: 1.172e-06, eta: 0:31:55, time: 0.203, data_time: 0.007, memory: 52540, decode.loss_ce: 0.0444, decode.acc_seg: 87.8594, decode.kl_loss: 0.0686, loss: 0.1130 +2023-03-06 09:35:58,787 - mmseg - INFO - Iter [152250/160000] lr: 1.172e-06, eta: 0:31:43, time: 0.203, data_time: 0.007, memory: 52540, decode.loss_ce: 0.0456, decode.acc_seg: 87.5607, decode.kl_loss: 0.0675, loss: 0.1131 +2023-03-06 09:36:08,823 - mmseg - INFO - Iter [152300/160000] lr: 1.172e-06, eta: 0:31:31, time: 0.201, data_time: 0.007, memory: 52540, decode.loss_ce: 0.0452, decode.acc_seg: 87.3195, decode.kl_loss: 0.0704, loss: 0.1156 +2023-03-06 09:36:18,830 - mmseg - INFO - Iter [152350/160000] lr: 1.172e-06, eta: 0:31:18, time: 0.200, data_time: 0.007, memory: 52540, decode.loss_ce: 0.0447, decode.acc_seg: 87.7418, decode.kl_loss: 0.0694, loss: 0.1141 +2023-03-06 09:36:29,244 - mmseg - INFO - Iter [152400/160000] lr: 1.172e-06, eta: 0:31:06, time: 0.208, data_time: 0.007, memory: 52540, decode.loss_ce: 0.0447, decode.acc_seg: 87.5505, decode.kl_loss: 0.0692, loss: 0.1139 +2023-03-06 09:36:39,309 - mmseg - INFO - Iter [152450/160000] lr: 1.172e-06, eta: 0:30:53, time: 0.201, data_time: 0.007, memory: 52540, decode.loss_ce: 0.0459, decode.acc_seg: 87.3536, decode.kl_loss: 0.0715, loss: 0.1174 +2023-03-06 09:36:49,289 - mmseg - INFO - Iter [152500/160000] lr: 1.172e-06, eta: 0:30:41, time: 0.200, data_time: 0.007, memory: 52540, decode.loss_ce: 0.0449, decode.acc_seg: 87.5603, decode.kl_loss: 0.0670, loss: 0.1119 +2023-03-06 09:36:59,661 - mmseg - INFO - Iter [152550/160000] lr: 1.172e-06, eta: 0:30:29, time: 0.207, data_time: 0.007, memory: 52540, decode.loss_ce: 0.0437, decode.acc_seg: 87.9350, decode.kl_loss: 0.0687, loss: 0.1124 +2023-03-06 09:37:09,908 - mmseg - INFO - Iter [152600/160000] lr: 1.172e-06, eta: 0:30:16, time: 0.205, data_time: 0.007, memory: 52540, decode.loss_ce: 0.0434, decode.acc_seg: 87.8018, decode.kl_loss: 0.0683, loss: 0.1117 +2023-03-06 09:37:19,831 - mmseg - INFO - Iter [152650/160000] lr: 1.172e-06, eta: 0:30:04, time: 0.198, data_time: 0.007, memory: 52540, decode.loss_ce: 0.0425, decode.acc_seg: 88.0595, decode.kl_loss: 0.0663, loss: 0.1088 +2023-03-06 09:37:29,923 - mmseg - INFO - Iter [152700/160000] lr: 1.172e-06, eta: 0:29:52, time: 0.202, data_time: 0.007, memory: 52540, decode.loss_ce: 0.0414, decode.acc_seg: 88.3452, decode.kl_loss: 0.0640, loss: 0.1054 +2023-03-06 09:37:42,816 - mmseg - INFO - Iter [152750/160000] lr: 1.172e-06, eta: 0:29:39, time: 0.258, data_time: 0.056, memory: 52540, decode.loss_ce: 0.0416, decode.acc_seg: 88.4836, decode.kl_loss: 0.0637, loss: 0.1054 +2023-03-06 09:37:52,870 - mmseg - INFO - Iter [152800/160000] lr: 1.172e-06, eta: 0:29:27, time: 0.201, data_time: 0.007, memory: 52540, decode.loss_ce: 0.0409, decode.acc_seg: 88.5821, decode.kl_loss: 0.0655, loss: 0.1064 +2023-03-06 09:38:03,311 - mmseg - INFO - Iter [152850/160000] lr: 1.172e-06, eta: 0:29:15, time: 0.209, data_time: 0.007, memory: 52540, decode.loss_ce: 0.0416, decode.acc_seg: 88.5999, decode.kl_loss: 0.0626, loss: 0.1042 +2023-03-06 09:38:13,192 - mmseg - INFO - Iter [152900/160000] lr: 1.172e-06, eta: 0:29:02, time: 0.198, data_time: 0.007, memory: 52540, decode.loss_ce: 0.0416, decode.acc_seg: 88.3662, decode.kl_loss: 0.0651, loss: 0.1067 +2023-03-06 09:38:23,495 - mmseg - INFO - Iter [152950/160000] lr: 1.172e-06, eta: 0:28:50, time: 0.206, data_time: 0.007, memory: 52540, decode.loss_ce: 0.0413, decode.acc_seg: 88.5948, decode.kl_loss: 0.0665, loss: 0.1078 +2023-03-06 09:38:33,506 - mmseg - INFO - Exp name: ablation_segformer_mit_b2_segformer_head_unet_fc_small_multi_step_ade_pretrained_freeze_embed_160k_ade20k151_finetune_ema_ce.py +2023-03-06 09:38:33,506 - mmseg - INFO - Iter [153000/160000] lr: 1.172e-06, eta: 0:28:37, time: 0.200, data_time: 0.007, memory: 52540, decode.loss_ce: 0.0414, decode.acc_seg: 88.6086, decode.kl_loss: 0.0640, loss: 0.1054 +2023-03-06 09:38:43,603 - mmseg - INFO - Iter [153050/160000] lr: 1.172e-06, eta: 0:28:25, time: 0.202, data_time: 0.007, memory: 52540, decode.loss_ce: 0.0412, decode.acc_seg: 88.5770, decode.kl_loss: 0.0629, loss: 0.1040 +2023-03-06 09:38:53,625 - mmseg - INFO - Iter [153100/160000] lr: 1.172e-06, eta: 0:28:13, time: 0.200, data_time: 0.007, memory: 52540, decode.loss_ce: 0.0407, decode.acc_seg: 88.5573, decode.kl_loss: 0.0640, loss: 0.1047 +2023-03-06 09:39:04,001 - mmseg - INFO - Iter [153150/160000] lr: 1.172e-06, eta: 0:28:00, time: 0.208, data_time: 0.007, memory: 52540, decode.loss_ce: 0.0395, decode.acc_seg: 88.7855, decode.kl_loss: 0.0639, loss: 0.1034 +2023-03-06 09:39:13,987 - mmseg - INFO - Iter [153200/160000] lr: 1.172e-06, eta: 0:27:48, time: 0.200, data_time: 0.007, memory: 52540, decode.loss_ce: 0.0406, decode.acc_seg: 88.6436, decode.kl_loss: 0.0631, loss: 0.1037 +2023-03-06 09:39:23,853 - mmseg - INFO - Iter [153250/160000] lr: 1.172e-06, eta: 0:27:36, time: 0.197, data_time: 0.007, memory: 52540, decode.loss_ce: 0.0402, decode.acc_seg: 88.7480, decode.kl_loss: 0.0662, loss: 0.1065 +2023-03-06 09:39:33,845 - mmseg - INFO - Iter [153300/160000] lr: 1.172e-06, eta: 0:27:23, time: 0.200, data_time: 0.007, memory: 52540, decode.loss_ce: 0.0414, decode.acc_seg: 88.4917, decode.kl_loss: 0.0619, loss: 0.1033 +2023-03-06 09:39:46,392 - mmseg - INFO - Iter [153350/160000] lr: 1.172e-06, eta: 0:27:11, time: 0.251, data_time: 0.055, memory: 52540, decode.loss_ce: 0.0412, decode.acc_seg: 88.4450, decode.kl_loss: 0.0646, loss: 0.1058 +2023-03-06 09:39:56,589 - mmseg - INFO - Iter [153400/160000] lr: 1.172e-06, eta: 0:26:59, time: 0.204, data_time: 0.007, memory: 52540, decode.loss_ce: 0.0407, decode.acc_seg: 88.7068, decode.kl_loss: 0.0634, loss: 0.1041 +2023-03-06 09:40:06,928 - mmseg - INFO - Iter [153450/160000] lr: 1.172e-06, eta: 0:26:46, time: 0.207, data_time: 0.007, memory: 52540, decode.loss_ce: 0.0415, decode.acc_seg: 88.5644, decode.kl_loss: 0.0648, loss: 0.1063 +2023-03-06 09:40:17,100 - mmseg - INFO - Iter [153500/160000] lr: 1.172e-06, eta: 0:26:34, time: 0.203, data_time: 0.007, memory: 52540, decode.loss_ce: 0.0398, decode.acc_seg: 88.8991, decode.kl_loss: 0.0640, loss: 0.1038 +2023-03-06 09:40:27,216 - mmseg - INFO - Iter [153550/160000] lr: 1.172e-06, eta: 0:26:22, time: 0.203, data_time: 0.007, memory: 52540, decode.loss_ce: 0.0407, decode.acc_seg: 88.6594, decode.kl_loss: 0.0627, loss: 0.1034 +2023-03-06 09:40:37,316 - mmseg - INFO - Iter [153600/160000] lr: 1.172e-06, eta: 0:26:09, time: 0.202, data_time: 0.007, memory: 52540, decode.loss_ce: 0.0414, decode.acc_seg: 88.4430, decode.kl_loss: 0.0638, loss: 0.1052 +2023-03-06 09:40:47,463 - mmseg - INFO - Iter [153650/160000] lr: 1.172e-06, eta: 0:25:57, time: 0.203, data_time: 0.007, memory: 52540, decode.loss_ce: 0.0406, decode.acc_seg: 88.6573, decode.kl_loss: 0.0643, loss: 0.1048 +2023-03-06 09:40:57,380 - mmseg - INFO - Iter [153700/160000] lr: 1.172e-06, eta: 0:25:45, time: 0.198, data_time: 0.007, memory: 52540, decode.loss_ce: 0.0406, decode.acc_seg: 88.8049, decode.kl_loss: 0.0635, loss: 0.1041 +2023-03-06 09:41:07,401 - mmseg - INFO - Iter [153750/160000] lr: 1.172e-06, eta: 0:25:32, time: 0.200, data_time: 0.007, memory: 52540, decode.loss_ce: 0.0404, decode.acc_seg: 88.7587, decode.kl_loss: 0.0630, loss: 0.1034 +2023-03-06 09:41:17,631 - mmseg - INFO - Iter [153800/160000] lr: 1.172e-06, eta: 0:25:20, time: 0.205, data_time: 0.007, memory: 52540, decode.loss_ce: 0.0392, decode.acc_seg: 88.9006, decode.kl_loss: 0.0624, loss: 0.1017 +2023-03-06 09:41:27,745 - mmseg - INFO - Iter [153850/160000] lr: 1.172e-06, eta: 0:25:07, time: 0.202, data_time: 0.007, memory: 52540, decode.loss_ce: 0.0397, decode.acc_seg: 88.8878, decode.kl_loss: 0.0650, loss: 0.1047 +2023-03-06 09:41:37,739 - mmseg - INFO - Iter [153900/160000] lr: 1.172e-06, eta: 0:24:55, time: 0.200, data_time: 0.007, memory: 52540, decode.loss_ce: 0.0399, decode.acc_seg: 88.7923, decode.kl_loss: 0.0634, loss: 0.1033 +2023-03-06 09:41:48,170 - mmseg - INFO - Iter [153950/160000] lr: 1.172e-06, eta: 0:24:43, time: 0.209, data_time: 0.007, memory: 52540, decode.loss_ce: 0.0411, decode.acc_seg: 88.4833, decode.kl_loss: 0.0651, loss: 0.1061 +2023-03-06 09:42:00,676 - mmseg - INFO - Exp name: ablation_segformer_mit_b2_segformer_head_unet_fc_small_multi_step_ade_pretrained_freeze_embed_160k_ade20k151_finetune_ema_ce.py +2023-03-06 09:42:00,676 - mmseg - INFO - Iter [154000/160000] lr: 1.172e-06, eta: 0:24:31, time: 0.250, data_time: 0.056, memory: 52540, decode.loss_ce: 0.0412, decode.acc_seg: 88.6002, decode.kl_loss: 0.0628, loss: 0.1040 +2023-03-06 09:42:10,948 - mmseg - INFO - Iter [154050/160000] lr: 1.172e-06, eta: 0:24:18, time: 0.205, data_time: 0.007, memory: 52540, decode.loss_ce: 0.0397, decode.acc_seg: 88.8142, decode.kl_loss: 0.0618, loss: 0.1015 +2023-03-06 09:42:21,085 - mmseg - INFO - Iter [154100/160000] lr: 1.172e-06, eta: 0:24:06, time: 0.203, data_time: 0.007, memory: 52540, decode.loss_ce: 0.0431, decode.acc_seg: 88.2902, decode.kl_loss: 0.0652, loss: 0.1083 +2023-03-06 09:42:31,018 - mmseg - INFO - Iter [154150/160000] lr: 1.172e-06, eta: 0:23:54, time: 0.199, data_time: 0.007, memory: 52540, decode.loss_ce: 0.0404, decode.acc_seg: 88.7365, decode.kl_loss: 0.0625, loss: 0.1029 +2023-03-06 09:42:40,945 - mmseg - INFO - Iter [154200/160000] lr: 1.172e-06, eta: 0:23:41, time: 0.199, data_time: 0.007, memory: 52540, decode.loss_ce: 0.0403, decode.acc_seg: 88.6013, decode.kl_loss: 0.0648, loss: 0.1051 +2023-03-06 09:42:50,862 - mmseg - INFO - Iter [154250/160000] lr: 1.172e-06, eta: 0:23:29, time: 0.198, data_time: 0.007, memory: 52540, decode.loss_ce: 0.0398, decode.acc_seg: 88.9829, decode.kl_loss: 0.0611, loss: 0.1008 +2023-03-06 09:43:00,794 - mmseg - INFO - Iter [154300/160000] lr: 1.172e-06, eta: 0:23:17, time: 0.199, data_time: 0.007, memory: 52540, decode.loss_ce: 0.0417, decode.acc_seg: 88.2902, decode.kl_loss: 0.0650, loss: 0.1067 +2023-03-06 09:43:10,715 - mmseg - INFO - Iter [154350/160000] lr: 1.172e-06, eta: 0:23:04, time: 0.198, data_time: 0.007, memory: 52540, decode.loss_ce: 0.0420, decode.acc_seg: 88.3927, decode.kl_loss: 0.0635, loss: 0.1055 +2023-03-06 09:43:20,772 - mmseg - INFO - Iter [154400/160000] lr: 1.172e-06, eta: 0:22:52, time: 0.201, data_time: 0.007, memory: 52540, decode.loss_ce: 0.0401, decode.acc_seg: 88.8119, decode.kl_loss: 0.0644, loss: 0.1045 +2023-03-06 09:43:30,847 - mmseg - INFO - Iter [154450/160000] lr: 1.172e-06, eta: 0:22:40, time: 0.201, data_time: 0.007, memory: 52540, decode.loss_ce: 0.0420, decode.acc_seg: 88.3698, decode.kl_loss: 0.0626, loss: 0.1047 +2023-03-06 09:43:40,779 - mmseg - INFO - Iter [154500/160000] lr: 1.172e-06, eta: 0:22:27, time: 0.198, data_time: 0.007, memory: 52540, decode.loss_ce: 0.0405, decode.acc_seg: 88.6412, decode.kl_loss: 0.0657, loss: 0.1062 +2023-03-06 09:43:50,830 - mmseg - INFO - Iter [154550/160000] lr: 1.172e-06, eta: 0:22:15, time: 0.201, data_time: 0.007, memory: 52540, decode.loss_ce: 0.0400, decode.acc_seg: 88.8260, decode.kl_loss: 0.0631, loss: 0.1031 +2023-03-06 09:44:03,487 - mmseg - INFO - Iter [154600/160000] lr: 1.172e-06, eta: 0:22:03, time: 0.253, data_time: 0.055, memory: 52540, decode.loss_ce: 0.0401, decode.acc_seg: 88.7698, decode.kl_loss: 0.0634, loss: 0.1035 +2023-03-06 09:44:13,816 - mmseg - INFO - Iter [154650/160000] lr: 1.172e-06, eta: 0:21:50, time: 0.207, data_time: 0.007, memory: 52540, decode.loss_ce: 0.0394, decode.acc_seg: 88.9610, decode.kl_loss: 0.0626, loss: 0.1020 +2023-03-06 09:44:23,934 - mmseg - INFO - Iter [154700/160000] lr: 1.172e-06, eta: 0:21:38, time: 0.202, data_time: 0.007, memory: 52540, decode.loss_ce: 0.0404, decode.acc_seg: 88.6115, decode.kl_loss: 0.0649, loss: 0.1053 +2023-03-06 09:44:33,993 - mmseg - INFO - Iter [154750/160000] lr: 1.172e-06, eta: 0:21:26, time: 0.201, data_time: 0.007, memory: 52540, decode.loss_ce: 0.0400, decode.acc_seg: 88.8383, decode.kl_loss: 0.0611, loss: 0.1011 +2023-03-06 09:44:44,084 - mmseg - INFO - Iter [154800/160000] lr: 1.172e-06, eta: 0:21:13, time: 0.202, data_time: 0.007, memory: 52540, decode.loss_ce: 0.0416, decode.acc_seg: 88.3261, decode.kl_loss: 0.0654, loss: 0.1070 +2023-03-06 09:44:54,302 - mmseg - INFO - Iter [154850/160000] lr: 1.172e-06, eta: 0:21:01, time: 0.204, data_time: 0.007, memory: 52540, decode.loss_ce: 0.0412, decode.acc_seg: 88.4650, decode.kl_loss: 0.0653, loss: 0.1065 +2023-03-06 09:45:04,625 - mmseg - INFO - Iter [154900/160000] lr: 1.172e-06, eta: 0:20:49, time: 0.206, data_time: 0.007, memory: 52540, decode.loss_ce: 0.0401, decode.acc_seg: 88.8485, decode.kl_loss: 0.0641, loss: 0.1042 +2023-03-06 09:45:14,576 - mmseg - INFO - Iter [154950/160000] lr: 1.172e-06, eta: 0:20:36, time: 0.199, data_time: 0.007, memory: 52540, decode.loss_ce: 0.0408, decode.acc_seg: 88.5505, decode.kl_loss: 0.0633, loss: 0.1041 +2023-03-06 09:45:24,771 - mmseg - INFO - Exp name: ablation_segformer_mit_b2_segformer_head_unet_fc_small_multi_step_ade_pretrained_freeze_embed_160k_ade20k151_finetune_ema_ce.py +2023-03-06 09:45:24,771 - mmseg - INFO - Iter [155000/160000] lr: 1.172e-06, eta: 0:20:24, time: 0.204, data_time: 0.007, memory: 52540, decode.loss_ce: 0.0402, decode.acc_seg: 88.7469, decode.kl_loss: 0.0637, loss: 0.1039 +2023-03-06 09:45:34,764 - mmseg - INFO - Iter [155050/160000] lr: 1.172e-06, eta: 0:20:12, time: 0.200, data_time: 0.007, memory: 52540, decode.loss_ce: 0.0400, decode.acc_seg: 88.9061, decode.kl_loss: 0.0641, loss: 0.1041 +2023-03-06 09:45:44,649 - mmseg - INFO - Iter [155100/160000] lr: 1.172e-06, eta: 0:19:59, time: 0.198, data_time: 0.007, memory: 52540, decode.loss_ce: 0.0425, decode.acc_seg: 88.4366, decode.kl_loss: 0.0612, loss: 0.1037 +2023-03-06 09:45:54,550 - mmseg - INFO - Iter [155150/160000] lr: 1.172e-06, eta: 0:19:47, time: 0.198, data_time: 0.007, memory: 52540, decode.loss_ce: 0.0413, decode.acc_seg: 88.5342, decode.kl_loss: 0.0632, loss: 0.1045 +2023-03-06 09:46:04,533 - mmseg - INFO - Iter [155200/160000] lr: 1.172e-06, eta: 0:19:35, time: 0.200, data_time: 0.007, memory: 52540, decode.loss_ce: 0.0400, decode.acc_seg: 88.7644, decode.kl_loss: 0.0636, loss: 0.1036 +2023-03-06 09:46:17,047 - mmseg - INFO - Iter [155250/160000] lr: 1.172e-06, eta: 0:19:23, time: 0.250, data_time: 0.055, memory: 52540, decode.loss_ce: 0.0417, decode.acc_seg: 88.3283, decode.kl_loss: 0.0650, loss: 0.1066 +2023-03-06 09:46:26,974 - mmseg - INFO - Iter [155300/160000] lr: 1.172e-06, eta: 0:19:10, time: 0.199, data_time: 0.007, memory: 52540, decode.loss_ce: 0.0413, decode.acc_seg: 88.3028, decode.kl_loss: 0.0659, loss: 0.1072 +2023-03-06 09:46:36,932 - mmseg - INFO - Iter [155350/160000] lr: 1.172e-06, eta: 0:18:58, time: 0.199, data_time: 0.007, memory: 52540, decode.loss_ce: 0.0401, decode.acc_seg: 88.6433, decode.kl_loss: 0.0643, loss: 0.1045 +2023-03-06 09:46:46,782 - mmseg - INFO - Iter [155400/160000] lr: 1.172e-06, eta: 0:18:46, time: 0.197, data_time: 0.007, memory: 52540, decode.loss_ce: 0.0403, decode.acc_seg: 88.7145, decode.kl_loss: 0.0630, loss: 0.1033 +2023-03-06 09:46:56,748 - mmseg - INFO - Iter [155450/160000] lr: 1.172e-06, eta: 0:18:33, time: 0.199, data_time: 0.007, memory: 52540, decode.loss_ce: 0.0408, decode.acc_seg: 88.6398, decode.kl_loss: 0.0633, loss: 0.1041 +2023-03-06 09:47:06,803 - mmseg - INFO - Iter [155500/160000] lr: 1.172e-06, eta: 0:18:21, time: 0.201, data_time: 0.007, memory: 52540, decode.loss_ce: 0.0412, decode.acc_seg: 88.5441, decode.kl_loss: 0.0633, loss: 0.1045 +2023-03-06 09:47:16,735 - mmseg - INFO - Iter [155550/160000] lr: 1.172e-06, eta: 0:18:09, time: 0.199, data_time: 0.007, memory: 52540, decode.loss_ce: 0.0422, decode.acc_seg: 88.3852, decode.kl_loss: 0.0632, loss: 0.1054 +2023-03-06 09:47:26,857 - mmseg - INFO - Iter [155600/160000] lr: 1.172e-06, eta: 0:17:56, time: 0.202, data_time: 0.007, memory: 52540, decode.loss_ce: 0.0401, decode.acc_seg: 88.6923, decode.kl_loss: 0.0639, loss: 0.1040 +2023-03-06 09:47:36,990 - mmseg - INFO - Iter [155650/160000] lr: 1.172e-06, eta: 0:17:44, time: 0.203, data_time: 0.007, memory: 52540, decode.loss_ce: 0.0409, decode.acc_seg: 88.7300, decode.kl_loss: 0.0655, loss: 0.1064 +2023-03-06 09:47:46,948 - mmseg - INFO - Iter [155700/160000] lr: 1.172e-06, eta: 0:17:32, time: 0.199, data_time: 0.007, memory: 52540, decode.loss_ce: 0.0397, decode.acc_seg: 88.8985, decode.kl_loss: 0.0641, loss: 0.1038 +2023-03-06 09:47:57,117 - mmseg - INFO - Iter [155750/160000] lr: 1.172e-06, eta: 0:17:20, time: 0.203, data_time: 0.007, memory: 52540, decode.loss_ce: 0.0417, decode.acc_seg: 88.4355, decode.kl_loss: 0.0655, loss: 0.1073 +2023-03-06 09:48:07,342 - mmseg - INFO - Iter [155800/160000] lr: 1.172e-06, eta: 0:17:07, time: 0.204, data_time: 0.007, memory: 52540, decode.loss_ce: 0.0404, decode.acc_seg: 88.8330, decode.kl_loss: 0.0606, loss: 0.1011 +2023-03-06 09:48:17,522 - mmseg - INFO - Iter [155850/160000] lr: 1.172e-06, eta: 0:16:55, time: 0.204, data_time: 0.007, memory: 52540, decode.loss_ce: 0.0393, decode.acc_seg: 88.9045, decode.kl_loss: 0.0624, loss: 0.1017 +2023-03-06 09:48:30,114 - mmseg - INFO - Iter [155900/160000] lr: 1.172e-06, eta: 0:16:43, time: 0.252, data_time: 0.053, memory: 52540, decode.loss_ce: 0.0411, decode.acc_seg: 88.6027, decode.kl_loss: 0.0648, loss: 0.1059 +2023-03-06 09:48:40,213 - mmseg - INFO - Iter [155950/160000] lr: 1.172e-06, eta: 0:16:30, time: 0.202, data_time: 0.007, memory: 52540, decode.loss_ce: 0.0399, decode.acc_seg: 88.8224, decode.kl_loss: 0.0645, loss: 0.1045 +2023-03-06 09:48:50,591 - mmseg - INFO - Exp name: ablation_segformer_mit_b2_segformer_head_unet_fc_small_multi_step_ade_pretrained_freeze_embed_160k_ade20k151_finetune_ema_ce.py +2023-03-06 09:48:50,591 - mmseg - INFO - Iter [156000/160000] lr: 1.172e-06, eta: 0:16:18, time: 0.208, data_time: 0.007, memory: 52540, decode.loss_ce: 0.0407, decode.acc_seg: 88.6327, decode.kl_loss: 0.0639, loss: 0.1046 +2023-03-06 09:49:00,810 - mmseg - INFO - Iter [156050/160000] lr: 1.172e-06, eta: 0:16:06, time: 0.204, data_time: 0.007, memory: 52540, decode.loss_ce: 0.0389, decode.acc_seg: 89.1077, decode.kl_loss: 0.0623, loss: 0.1012 +2023-03-06 09:49:10,752 - mmseg - INFO - Iter [156100/160000] lr: 1.172e-06, eta: 0:15:54, time: 0.199, data_time: 0.007, memory: 52540, decode.loss_ce: 0.0407, decode.acc_seg: 88.6576, decode.kl_loss: 0.0637, loss: 0.1044 +2023-03-06 09:49:20,937 - mmseg - INFO - Iter [156150/160000] lr: 1.172e-06, eta: 0:15:41, time: 0.204, data_time: 0.008, memory: 52540, decode.loss_ce: 0.0413, decode.acc_seg: 88.3860, decode.kl_loss: 0.0655, loss: 0.1069 +2023-03-06 09:49:31,204 - mmseg - INFO - Iter [156200/160000] lr: 1.172e-06, eta: 0:15:29, time: 0.205, data_time: 0.007, memory: 52540, decode.loss_ce: 0.0412, decode.acc_seg: 88.3087, decode.kl_loss: 0.0642, loss: 0.1053 +2023-03-06 09:49:41,426 - mmseg - INFO - Iter [156250/160000] lr: 1.172e-06, eta: 0:15:17, time: 0.205, data_time: 0.007, memory: 52540, decode.loss_ce: 0.0415, decode.acc_seg: 88.4468, decode.kl_loss: 0.0627, loss: 0.1042 +2023-03-06 09:49:51,361 - mmseg - INFO - Iter [156300/160000] lr: 1.172e-06, eta: 0:15:04, time: 0.199, data_time: 0.007, memory: 52540, decode.loss_ce: 0.0406, decode.acc_seg: 88.6889, decode.kl_loss: 0.0642, loss: 0.1048 +2023-03-06 09:50:01,576 - mmseg - INFO - Iter [156350/160000] lr: 1.172e-06, eta: 0:14:52, time: 0.204, data_time: 0.008, memory: 52540, decode.loss_ce: 0.0390, decode.acc_seg: 88.8882, decode.kl_loss: 0.0628, loss: 0.1018 +2023-03-06 09:50:11,693 - mmseg - INFO - Iter [156400/160000] lr: 1.172e-06, eta: 0:14:40, time: 0.202, data_time: 0.007, memory: 52540, decode.loss_ce: 0.0401, decode.acc_seg: 88.8683, decode.kl_loss: 0.0598, loss: 0.0998 +2023-03-06 09:50:21,956 - mmseg - INFO - Iter [156450/160000] lr: 1.172e-06, eta: 0:14:28, time: 0.205, data_time: 0.007, memory: 52540, decode.loss_ce: 0.0399, decode.acc_seg: 88.8336, decode.kl_loss: 0.0639, loss: 0.1037 +2023-03-06 09:50:34,378 - mmseg - INFO - Iter [156500/160000] lr: 1.172e-06, eta: 0:14:15, time: 0.248, data_time: 0.057, memory: 52540, decode.loss_ce: 0.0407, decode.acc_seg: 88.8135, decode.kl_loss: 0.0632, loss: 0.1039 +2023-03-06 09:50:44,513 - mmseg - INFO - Iter [156550/160000] lr: 1.172e-06, eta: 0:14:03, time: 0.203, data_time: 0.007, memory: 52540, decode.loss_ce: 0.0410, decode.acc_seg: 88.5886, decode.kl_loss: 0.0635, loss: 0.1045 +2023-03-06 09:50:54,637 - mmseg - INFO - Iter [156600/160000] lr: 1.172e-06, eta: 0:13:51, time: 0.202, data_time: 0.007, memory: 52540, decode.loss_ce: 0.0406, decode.acc_seg: 88.7263, decode.kl_loss: 0.0644, loss: 0.1050 +2023-03-06 09:51:04,638 - mmseg - INFO - Iter [156650/160000] lr: 1.172e-06, eta: 0:13:39, time: 0.200, data_time: 0.007, memory: 52540, decode.loss_ce: 0.0397, decode.acc_seg: 88.9246, decode.kl_loss: 0.0629, loss: 0.1027 +2023-03-06 09:51:14,745 - mmseg - INFO - Iter [156700/160000] lr: 1.172e-06, eta: 0:13:26, time: 0.202, data_time: 0.007, memory: 52540, decode.loss_ce: 0.0415, decode.acc_seg: 88.5606, decode.kl_loss: 0.0617, loss: 0.1032 +2023-03-06 09:51:24,724 - mmseg - INFO - Iter [156750/160000] lr: 1.172e-06, eta: 0:13:14, time: 0.200, data_time: 0.007, memory: 52540, decode.loss_ce: 0.0404, decode.acc_seg: 88.8110, decode.kl_loss: 0.0622, loss: 0.1026 +2023-03-06 09:51:34,728 - mmseg - INFO - Iter [156800/160000] lr: 1.172e-06, eta: 0:13:02, time: 0.200, data_time: 0.007, memory: 52540, decode.loss_ce: 0.0402, decode.acc_seg: 88.6542, decode.kl_loss: 0.0639, loss: 0.1041 +2023-03-06 09:51:44,754 - mmseg - INFO - Iter [156850/160000] lr: 1.172e-06, eta: 0:12:50, time: 0.201, data_time: 0.007, memory: 52540, decode.loss_ce: 0.0417, decode.acc_seg: 88.3957, decode.kl_loss: 0.0659, loss: 0.1075 +2023-03-06 09:51:54,967 - mmseg - INFO - Iter [156900/160000] lr: 1.172e-06, eta: 0:12:37, time: 0.204, data_time: 0.007, memory: 52540, decode.loss_ce: 0.0421, decode.acc_seg: 88.4055, decode.kl_loss: 0.0650, loss: 0.1071 +2023-03-06 09:52:04,881 - mmseg - INFO - Iter [156950/160000] lr: 1.172e-06, eta: 0:12:25, time: 0.198, data_time: 0.007, memory: 52540, decode.loss_ce: 0.0402, decode.acc_seg: 88.7663, decode.kl_loss: 0.0613, loss: 0.1015 +2023-03-06 09:52:15,059 - mmseg - INFO - Exp name: ablation_segformer_mit_b2_segformer_head_unet_fc_small_multi_step_ade_pretrained_freeze_embed_160k_ade20k151_finetune_ema_ce.py +2023-03-06 09:52:15,060 - mmseg - INFO - Iter [157000/160000] lr: 1.172e-06, eta: 0:12:13, time: 0.204, data_time: 0.008, memory: 52540, decode.loss_ce: 0.0397, decode.acc_seg: 88.8052, decode.kl_loss: 0.0641, loss: 0.1039 +2023-03-06 09:52:24,980 - mmseg - INFO - Iter [157050/160000] lr: 1.172e-06, eta: 0:12:00, time: 0.198, data_time: 0.007, memory: 52540, decode.loss_ce: 0.0405, decode.acc_seg: 88.6983, decode.kl_loss: 0.0629, loss: 0.1034 +2023-03-06 09:52:35,447 - mmseg - INFO - Iter [157100/160000] lr: 1.172e-06, eta: 0:11:48, time: 0.209, data_time: 0.007, memory: 52540, decode.loss_ce: 0.0404, decode.acc_seg: 88.7017, decode.kl_loss: 0.0618, loss: 0.1022 +2023-03-06 09:52:48,290 - mmseg - INFO - Iter [157150/160000] lr: 1.172e-06, eta: 0:11:36, time: 0.257, data_time: 0.051, memory: 52540, decode.loss_ce: 0.0422, decode.acc_seg: 88.3335, decode.kl_loss: 0.0642, loss: 0.1064 +2023-03-06 09:52:58,261 - mmseg - INFO - Iter [157200/160000] lr: 1.172e-06, eta: 0:11:24, time: 0.199, data_time: 0.007, memory: 52540, decode.loss_ce: 0.0421, decode.acc_seg: 88.4451, decode.kl_loss: 0.0653, loss: 0.1074 +2023-03-06 09:53:08,347 - mmseg - INFO - Iter [157250/160000] lr: 1.172e-06, eta: 0:11:11, time: 0.202, data_time: 0.007, memory: 52540, decode.loss_ce: 0.0409, decode.acc_seg: 88.5930, decode.kl_loss: 0.0631, loss: 0.1040 +2023-03-06 09:53:18,396 - mmseg - INFO - Iter [157300/160000] lr: 1.172e-06, eta: 0:10:59, time: 0.201, data_time: 0.007, memory: 52540, decode.loss_ce: 0.0400, decode.acc_seg: 88.8380, decode.kl_loss: 0.0641, loss: 0.1041 +2023-03-06 09:53:28,314 - mmseg - INFO - Iter [157350/160000] lr: 1.172e-06, eta: 0:10:47, time: 0.198, data_time: 0.007, memory: 52540, decode.loss_ce: 0.0391, decode.acc_seg: 88.9579, decode.kl_loss: 0.0633, loss: 0.1023 +2023-03-06 09:53:38,356 - mmseg - INFO - Iter [157400/160000] lr: 1.172e-06, eta: 0:10:35, time: 0.201, data_time: 0.007, memory: 52540, decode.loss_ce: 0.0415, decode.acc_seg: 88.5911, decode.kl_loss: 0.0613, loss: 0.1028 +2023-03-06 09:53:48,533 - mmseg - INFO - Iter [157450/160000] lr: 1.172e-06, eta: 0:10:22, time: 0.204, data_time: 0.007, memory: 52540, decode.loss_ce: 0.0402, decode.acc_seg: 88.7963, decode.kl_loss: 0.0625, loss: 0.1026 +2023-03-06 09:53:58,533 - mmseg - INFO - Iter [157500/160000] lr: 1.172e-06, eta: 0:10:10, time: 0.200, data_time: 0.007, memory: 52540, decode.loss_ce: 0.0406, decode.acc_seg: 88.3935, decode.kl_loss: 0.0672, loss: 0.1077 +2023-03-06 09:54:08,479 - mmseg - INFO - Iter [157550/160000] lr: 1.172e-06, eta: 0:09:58, time: 0.199, data_time: 0.007, memory: 52540, decode.loss_ce: 0.0415, decode.acc_seg: 88.5609, decode.kl_loss: 0.0641, loss: 0.1056 +2023-03-06 09:54:18,436 - mmseg - INFO - Iter [157600/160000] lr: 1.172e-06, eta: 0:09:46, time: 0.199, data_time: 0.007, memory: 52540, decode.loss_ce: 0.0403, decode.acc_seg: 88.7242, decode.kl_loss: 0.0624, loss: 0.1026 +2023-03-06 09:54:28,504 - mmseg - INFO - Iter [157650/160000] lr: 1.172e-06, eta: 0:09:33, time: 0.201, data_time: 0.007, memory: 52540, decode.loss_ce: 0.0412, decode.acc_seg: 88.6817, decode.kl_loss: 0.0640, loss: 0.1053 +2023-03-06 09:54:38,711 - mmseg - INFO - Iter [157700/160000] lr: 1.172e-06, eta: 0:09:21, time: 0.204, data_time: 0.007, memory: 52540, decode.loss_ce: 0.0414, decode.acc_seg: 88.6518, decode.kl_loss: 0.0635, loss: 0.1049 +2023-03-06 09:54:48,840 - mmseg - INFO - Iter [157750/160000] lr: 1.172e-06, eta: 0:09:09, time: 0.203, data_time: 0.007, memory: 52540, decode.loss_ce: 0.0403, decode.acc_seg: 88.7263, decode.kl_loss: 0.0642, loss: 0.1045 +2023-03-06 09:55:01,436 - mmseg - INFO - Iter [157800/160000] lr: 1.172e-06, eta: 0:08:57, time: 0.252, data_time: 0.055, memory: 52540, decode.loss_ce: 0.0392, decode.acc_seg: 88.8955, decode.kl_loss: 0.0627, loss: 0.1019 +2023-03-06 09:55:11,417 - mmseg - INFO - Iter [157850/160000] lr: 1.172e-06, eta: 0:08:45, time: 0.200, data_time: 0.007, memory: 52540, decode.loss_ce: 0.0407, decode.acc_seg: 88.6207, decode.kl_loss: 0.0653, loss: 0.1060 +2023-03-06 09:55:21,296 - mmseg - INFO - Iter [157900/160000] lr: 1.172e-06, eta: 0:08:32, time: 0.198, data_time: 0.007, memory: 52540, decode.loss_ce: 0.0417, decode.acc_seg: 88.3510, decode.kl_loss: 0.0627, loss: 0.1044 +2023-03-06 09:55:31,477 - mmseg - INFO - Iter [157950/160000] lr: 1.172e-06, eta: 0:08:20, time: 0.204, data_time: 0.007, memory: 52540, decode.loss_ce: 0.0419, decode.acc_seg: 88.4171, decode.kl_loss: 0.0639, loss: 0.1059 +2023-03-06 09:55:41,365 - mmseg - INFO - Exp name: ablation_segformer_mit_b2_segformer_head_unet_fc_small_multi_step_ade_pretrained_freeze_embed_160k_ade20k151_finetune_ema_ce.py +2023-03-06 09:55:41,365 - mmseg - INFO - Iter [158000/160000] lr: 1.172e-06, eta: 0:08:08, time: 0.198, data_time: 0.007, memory: 52540, decode.loss_ce: 0.0403, decode.acc_seg: 88.5709, decode.kl_loss: 0.0658, loss: 0.1061 +2023-03-06 09:55:51,569 - mmseg - INFO - Iter [158050/160000] lr: 1.172e-06, eta: 0:07:56, time: 0.204, data_time: 0.007, memory: 52540, decode.loss_ce: 0.0405, decode.acc_seg: 88.5840, decode.kl_loss: 0.0644, loss: 0.1048 +2023-03-06 09:56:01,671 - mmseg - INFO - Iter [158100/160000] lr: 1.172e-06, eta: 0:07:43, time: 0.202, data_time: 0.007, memory: 52540, decode.loss_ce: 0.0400, decode.acc_seg: 88.8296, decode.kl_loss: 0.0604, loss: 0.1004 +2023-03-06 09:56:11,855 - mmseg - INFO - Iter [158150/160000] lr: 1.172e-06, eta: 0:07:31, time: 0.204, data_time: 0.007, memory: 52540, decode.loss_ce: 0.0411, decode.acc_seg: 88.6245, decode.kl_loss: 0.0644, loss: 0.1055 +2023-03-06 09:56:21,800 - mmseg - INFO - Iter [158200/160000] lr: 1.172e-06, eta: 0:07:19, time: 0.199, data_time: 0.007, memory: 52540, decode.loss_ce: 0.0415, decode.acc_seg: 88.5690, decode.kl_loss: 0.0613, loss: 0.1029 +2023-03-06 09:56:31,788 - mmseg - INFO - Iter [158250/160000] lr: 1.172e-06, eta: 0:07:07, time: 0.200, data_time: 0.007, memory: 52540, decode.loss_ce: 0.0422, decode.acc_seg: 88.2394, decode.kl_loss: 0.0645, loss: 0.1067 +2023-03-06 09:56:41,918 - mmseg - INFO - Iter [158300/160000] lr: 1.172e-06, eta: 0:06:54, time: 0.203, data_time: 0.007, memory: 52540, decode.loss_ce: 0.0402, decode.acc_seg: 88.6668, decode.kl_loss: 0.0626, loss: 0.1028 +2023-03-06 09:56:51,858 - mmseg - INFO - Iter [158350/160000] lr: 1.172e-06, eta: 0:06:42, time: 0.199, data_time: 0.007, memory: 52540, decode.loss_ce: 0.0408, decode.acc_seg: 88.6852, decode.kl_loss: 0.0636, loss: 0.1045 +2023-03-06 09:57:04,230 - mmseg - INFO - Iter [158400/160000] lr: 1.172e-06, eta: 0:06:30, time: 0.247, data_time: 0.055, memory: 52540, decode.loss_ce: 0.0407, decode.acc_seg: 88.5949, decode.kl_loss: 0.0631, loss: 0.1038 +2023-03-06 09:57:14,155 - mmseg - INFO - Iter [158450/160000] lr: 1.172e-06, eta: 0:06:18, time: 0.199, data_time: 0.007, memory: 52540, decode.loss_ce: 0.0413, decode.acc_seg: 88.5144, decode.kl_loss: 0.0634, loss: 0.1046 +2023-03-06 09:57:24,186 - mmseg - INFO - Iter [158500/160000] lr: 1.172e-06, eta: 0:06:06, time: 0.201, data_time: 0.007, memory: 52540, decode.loss_ce: 0.0432, decode.acc_seg: 88.2247, decode.kl_loss: 0.0649, loss: 0.1081 +2023-03-06 09:57:34,089 - mmseg - INFO - Iter [158550/160000] lr: 1.172e-06, eta: 0:05:53, time: 0.198, data_time: 0.007, memory: 52540, decode.loss_ce: 0.0413, decode.acc_seg: 88.5032, decode.kl_loss: 0.0628, loss: 0.1041 +2023-03-06 09:57:44,113 - mmseg - INFO - Iter [158600/160000] lr: 1.172e-06, eta: 0:05:41, time: 0.200, data_time: 0.007, memory: 52540, decode.loss_ce: 0.0416, decode.acc_seg: 88.4551, decode.kl_loss: 0.0678, loss: 0.1093 +2023-03-06 09:57:54,117 - mmseg - INFO - Iter [158650/160000] lr: 1.172e-06, eta: 0:05:29, time: 0.200, data_time: 0.007, memory: 52540, decode.loss_ce: 0.0401, decode.acc_seg: 88.8512, decode.kl_loss: 0.0632, loss: 0.1033 +2023-03-06 09:58:04,260 - mmseg - INFO - Iter [158700/160000] lr: 1.172e-06, eta: 0:05:17, time: 0.203, data_time: 0.007, memory: 52540, decode.loss_ce: 0.0398, decode.acc_seg: 88.8955, decode.kl_loss: 0.0628, loss: 0.1026 +2023-03-06 09:58:14,509 - mmseg - INFO - Iter [158750/160000] lr: 1.172e-06, eta: 0:05:04, time: 0.205, data_time: 0.008, memory: 52540, decode.loss_ce: 0.0409, decode.acc_seg: 88.7320, decode.kl_loss: 0.0620, loss: 0.1028 +2023-03-06 09:58:24,645 - mmseg - INFO - Iter [158800/160000] lr: 1.172e-06, eta: 0:04:52, time: 0.203, data_time: 0.007, memory: 52540, decode.loss_ce: 0.0418, decode.acc_seg: 88.3658, decode.kl_loss: 0.0662, loss: 0.1080 +2023-03-06 09:58:34,842 - mmseg - INFO - Iter [158850/160000] lr: 1.172e-06, eta: 0:04:40, time: 0.204, data_time: 0.007, memory: 52540, decode.loss_ce: 0.0399, decode.acc_seg: 88.7195, decode.kl_loss: 0.0630, loss: 0.1030 +2023-03-06 09:58:44,752 - mmseg - INFO - Iter [158900/160000] lr: 1.172e-06, eta: 0:04:28, time: 0.198, data_time: 0.007, memory: 52540, decode.loss_ce: 0.0406, decode.acc_seg: 88.6309, decode.kl_loss: 0.0655, loss: 0.1061 +2023-03-06 09:58:54,809 - mmseg - INFO - Iter [158950/160000] lr: 1.172e-06, eta: 0:04:16, time: 0.201, data_time: 0.007, memory: 52540, decode.loss_ce: 0.0400, decode.acc_seg: 88.6906, decode.kl_loss: 0.0622, loss: 0.1022 +2023-03-06 09:59:04,884 - mmseg - INFO - Exp name: ablation_segformer_mit_b2_segformer_head_unet_fc_small_multi_step_ade_pretrained_freeze_embed_160k_ade20k151_finetune_ema_ce.py +2023-03-06 09:59:04,884 - mmseg - INFO - Iter [159000/160000] lr: 1.172e-06, eta: 0:04:03, time: 0.201, data_time: 0.007, memory: 52540, decode.loss_ce: 0.0402, decode.acc_seg: 88.8842, decode.kl_loss: 0.0626, loss: 0.1028 +2023-03-06 09:59:17,523 - mmseg - INFO - Iter [159050/160000] lr: 1.172e-06, eta: 0:03:51, time: 0.253, data_time: 0.053, memory: 52540, decode.loss_ce: 0.0388, decode.acc_seg: 89.0677, decode.kl_loss: 0.0598, loss: 0.0986 +2023-03-06 09:59:27,601 - mmseg - INFO - Iter [159100/160000] lr: 1.172e-06, eta: 0:03:39, time: 0.202, data_time: 0.007, memory: 52540, decode.loss_ce: 0.0407, decode.acc_seg: 88.6167, decode.kl_loss: 0.0642, loss: 0.1048 +2023-03-06 09:59:38,043 - mmseg - INFO - Iter [159150/160000] lr: 1.172e-06, eta: 0:03:27, time: 0.209, data_time: 0.007, memory: 52540, decode.loss_ce: 0.0407, decode.acc_seg: 88.6354, decode.kl_loss: 0.0649, loss: 0.1055 +2023-03-06 09:59:48,150 - mmseg - INFO - Iter [159200/160000] lr: 1.172e-06, eta: 0:03:15, time: 0.202, data_time: 0.007, memory: 52540, decode.loss_ce: 0.0404, decode.acc_seg: 88.7764, decode.kl_loss: 0.0619, loss: 0.1023 +2023-03-06 09:59:58,174 - mmseg - INFO - Iter [159250/160000] lr: 1.172e-06, eta: 0:03:02, time: 0.200, data_time: 0.007, memory: 52540, decode.loss_ce: 0.0403, decode.acc_seg: 88.8717, decode.kl_loss: 0.0618, loss: 0.1021 +2023-03-06 10:00:08,337 - mmseg - INFO - Iter [159300/160000] lr: 1.172e-06, eta: 0:02:50, time: 0.203, data_time: 0.007, memory: 52540, decode.loss_ce: 0.0407, decode.acc_seg: 88.8498, decode.kl_loss: 0.0607, loss: 0.1015 +2023-03-06 10:00:18,465 - mmseg - INFO - Iter [159350/160000] lr: 1.172e-06, eta: 0:02:38, time: 0.203, data_time: 0.007, memory: 52540, decode.loss_ce: 0.0392, decode.acc_seg: 89.1064, decode.kl_loss: 0.0612, loss: 0.1004 +2023-03-06 10:00:28,582 - mmseg - INFO - Iter [159400/160000] lr: 1.172e-06, eta: 0:02:26, time: 0.202, data_time: 0.007, memory: 52540, decode.loss_ce: 0.0406, decode.acc_seg: 88.7687, decode.kl_loss: 0.0638, loss: 0.1044 +2023-03-06 10:00:38,656 - mmseg - INFO - Iter [159450/160000] lr: 1.172e-06, eta: 0:02:14, time: 0.201, data_time: 0.007, memory: 52540, decode.loss_ce: 0.0419, decode.acc_seg: 88.4367, decode.kl_loss: 0.0641, loss: 0.1060 +2023-03-06 10:00:48,705 - mmseg - INFO - Iter [159500/160000] lr: 1.172e-06, eta: 0:02:01, time: 0.201, data_time: 0.007, memory: 52540, decode.loss_ce: 0.0401, decode.acc_seg: 88.6582, decode.kl_loss: 0.0642, loss: 0.1044 +2023-03-06 10:00:58,611 - mmseg - INFO - Iter [159550/160000] lr: 1.172e-06, eta: 0:01:49, time: 0.198, data_time: 0.007, memory: 52540, decode.loss_ce: 0.0395, decode.acc_seg: 88.8694, decode.kl_loss: 0.0642, loss: 0.1037 +2023-03-06 10:01:08,564 - mmseg - INFO - Iter [159600/160000] lr: 1.172e-06, eta: 0:01:37, time: 0.199, data_time: 0.007, memory: 52540, decode.loss_ce: 0.0419, decode.acc_seg: 88.4351, decode.kl_loss: 0.0620, loss: 0.1039 +2023-03-06 10:01:21,425 - mmseg - INFO - Iter [159650/160000] lr: 1.172e-06, eta: 0:01:25, time: 0.257, data_time: 0.053, memory: 52540, decode.loss_ce: 0.0417, decode.acc_seg: 88.5179, decode.kl_loss: 0.0643, loss: 0.1060 +2023-03-06 10:01:31,603 - mmseg - INFO - Iter [159700/160000] lr: 1.172e-06, eta: 0:01:13, time: 0.204, data_time: 0.007, memory: 52540, decode.loss_ce: 0.0426, decode.acc_seg: 88.3015, decode.kl_loss: 0.0645, loss: 0.1071 +2023-03-06 10:01:41,577 - mmseg - INFO - Iter [159750/160000] lr: 1.172e-06, eta: 0:01:00, time: 0.199, data_time: 0.007, memory: 52540, decode.loss_ce: 0.0417, decode.acc_seg: 88.3279, decode.kl_loss: 0.0655, loss: 0.1072 +2023-03-06 10:01:51,704 - mmseg - INFO - Iter [159800/160000] lr: 1.172e-06, eta: 0:00:48, time: 0.203, data_time: 0.007, memory: 52540, decode.loss_ce: 0.0411, decode.acc_seg: 88.6598, decode.kl_loss: 0.0643, loss: 0.1054 +2023-03-06 10:02:01,806 - mmseg - INFO - Iter [159850/160000] lr: 1.172e-06, eta: 0:00:36, time: 0.202, data_time: 0.007, memory: 52540, decode.loss_ce: 0.0403, decode.acc_seg: 88.6956, decode.kl_loss: 0.0635, loss: 0.1038 +2023-03-06 10:02:11,918 - mmseg - INFO - Iter [159900/160000] lr: 1.172e-06, eta: 0:00:24, time: 0.202, data_time: 0.007, memory: 52540, decode.loss_ce: 0.0414, decode.acc_seg: 88.4890, decode.kl_loss: 0.0629, loss: 0.1043 +2023-03-06 10:02:22,067 - mmseg - INFO - Iter [159950/160000] lr: 1.172e-06, eta: 0:00:12, time: 0.203, data_time: 0.007, memory: 52540, decode.loss_ce: 0.0409, decode.acc_seg: 88.5799, decode.kl_loss: 0.0648, loss: 0.1057 +2023-03-06 10:02:32,083 - mmseg - INFO - Swap parameters (after train) after iter [160000] +2023-03-06 10:02:32,097 - mmseg - INFO - Saving checkpoint at 160000 iterations +2023-03-06 10:02:33,153 - mmseg - INFO - Exp name: ablation_segformer_mit_b2_segformer_head_unet_fc_small_multi_step_ade_pretrained_freeze_embed_160k_ade20k151_finetune_ema_ce.py +2023-03-06 10:02:33,153 - mmseg - INFO - Iter [160000/160000] lr: 1.172e-06, eta: 0:00:00, time: 0.222, data_time: 0.007, memory: 52540, decode.loss_ce: 0.0415, decode.acc_seg: 88.5065, decode.kl_loss: 0.0636, loss: 0.1051 +2023-03-06 10:13:26,884 - mmseg - INFO - per class results: +2023-03-06 10:13:26,893 - mmseg - INFO - ++---------------------+-------------------------------------------------------------------+ +| Class | IoU 0,10,20,30,40,50,60,70,80,90,99 | ++---------------------+-------------------------------------------------------------------+ +| background | nan,nan,nan,nan,nan,nan,nan,nan,nan,nan,nan | +| wall | 74.1,74.45,74.44,74.41,74.37,74.33,74.3,74.29,74.27,74.23,74.07 | +| building | 79.44,79.73,79.71,79.67,79.64,79.6,79.57,79.53,79.49,79.43,79.27 | +| sky | 93.09,93.24,93.21,93.18,93.14,93.1,93.05,92.98,92.92,92.86,92.9 | +| floor | 78.61,78.89,78.88,78.83,78.81,78.77,78.72,78.68,78.63,78.58,78.43 | +| tree | 71.77,72.02,72.01,72.01,71.98,71.97,71.95,71.91,71.86,71.81,71.6 | +| ceiling | 81.3,81.67,81.66,81.64,81.62,81.59,81.52,81.48,81.42,81.34,81.21 | +| road | 79.32,79.63,79.61,79.6,79.6,79.57,79.54,79.53,79.49,79.45,79.3 | +| bed | 83.68,84.01,84.03,84.01,84.0,83.97,83.91,83.88,83.88,83.82,83.71 | +| windowpane | 56.53,56.95,56.89,56.86,56.84,56.76,56.69,56.65,56.54,56.4,56.13 | +| grass | 65.2,65.52,65.53,65.52,65.49,65.52,65.48,65.48,65.44,65.42,65.3 | +| cabinet | 56.25,56.63,56.62,56.59,56.52,56.47,56.41,56.33,56.23,56.11,55.81 | +| sidewalk | 58.3,58.97,58.91,58.88,58.84,58.8,58.76,58.78,58.79,58.83,58.75 | +| person | 74.99,75.38,75.37,75.33,75.3,75.28,75.25,75.22,75.17,75.05,74.77 | +| earth | 34.34,34.49,34.55,34.52,34.51,34.5,34.48,34.49,34.44,34.34,34.2 | +| door | 41.35,41.73,41.76,41.8,41.83,41.77,41.73,41.68,41.61,41.54,41.43 | +| table | 53.01,53.69,53.68,53.69,53.64,53.62,53.58,53.51,53.46,53.28,52.96 | +| mountain | 54.78,55.09,55.07,55.07,55.07,55.04,55.03,55.04,55.07,55.06,55.05 | +| plant | 47.5,47.9,47.9,47.87,47.92,47.92,47.9,47.87,47.87,47.8,47.67 | +| curtain | 70.89,71.27,71.32,71.28,71.3,71.23,71.2,71.19,71.1,71.01,70.84 | +| chair | 50.76,51.4,51.36,51.36,51.35,51.29,51.24,51.18,51.06,50.92,50.68 | +| car | 78.88,79.24,79.26,79.22,79.22,79.16,79.16,79.12,79.03,78.95,78.82 | +| water | 56.36,56.71,56.69,56.7,56.7,56.67,56.68,56.69,56.67,56.7,56.67 | +| painting | 67.11,67.59,67.5,67.48,67.43,67.34,67.2,67.11,67.07,66.89,66.63 | +| sofa | 36.03,37.33,37.02,36.72,36.43,36.19,35.78,35.52,35.23,34.9,34.14 | +| shelf | 40.02,40.51,40.53,40.43,40.47,40.45,40.46,40.44,40.49,40.48,40.33 | +| house | 39.25,39.55,39.54,39.55,39.56,39.58,39.6,39.55,39.59,39.69,39.9 | +| sea | 58.86,59.3,59.33,59.39,59.45,59.49,59.51,59.59,59.59,59.63,59.64 | +| mirror | 59.07,59.72,59.73,59.65,59.63,59.65,59.56,59.47,59.46,59.49,59.44 | +| rug | 58.83,59.13,59.17,59.24,59.26,59.33,59.23,59.37,59.38,59.46,59.41 | +| field | 29.67,29.85,29.91,29.91,29.92,29.92,29.87,29.84,29.78,29.73,29.66 | +| armchair | 32.32,32.82,32.81,32.8,32.77,32.8,32.72,32.72,32.68,32.74,32.7 | +| seat | 63.27,63.54,63.56,63.6,63.53,63.54,63.56,63.51,63.57,63.59,63.53 | +| fence | 37.67,38.33,38.37,38.42,38.51,38.47,38.58,38.42,38.47,38.42,38.35 | +| desk | 41.68,42.27,42.3,42.18,42.23,42.17,42.12,42.04,41.9,41.73,41.56 | +| rock | 35.71,35.92,35.94,35.79,35.86,35.81,35.8,35.74,35.73,35.64,35.54 | +| wardrobe | 50.8,51.56,51.7,51.73,51.61,51.64,51.58,51.52,51.45,51.57,51.62 | +| lamp | 54.96,55.57,55.55,55.54,55.43,55.45,55.37,55.3,55.27,55.23,55.13 | +| bathtub | 71.45,71.53,71.61,71.64,71.65,71.66,71.65,71.66,71.68,71.71,71.68 | +| railing | 32.2,32.41,32.49,32.48,32.57,32.57,32.54,32.45,32.39,32.32,32.17 | +| cushion | 39.44,40.63,40.65,40.61,40.62,40.44,40.35,40.26,40.06,39.9,39.32 | +| base | 16.18,16.41,16.47,16.45,16.49,16.53,16.53,16.56,16.57,16.53,16.58 | +| box | 6.86,7.36,7.28,7.17,7.06,6.94,6.82,6.73,6.63,6.57,6.48 | +| column | 41.73,42.01,42.04,42.15,42.11,42.08,41.97,41.95,41.95,41.88,41.86 | +| signboard | 32.34,33.06,33.14,33.15,33.13,33.14,33.14,33.23,33.17,33.16,33.05 | +| chest of drawers | 33.2,33.23,33.27,33.26,33.23,33.18,33.26,33.24,33.17,33.15,33.05 | +| counter | 29.36,29.59,29.74,29.71,29.88,29.9,29.9,29.89,29.81,29.78,29.71 | +| sand | 37.01,37.24,37.3,37.27,37.33,37.23,37.23,37.25,37.38,37.48,37.57 | +| sink | 62.58,62.67,62.71,62.69,62.69,62.67,62.54,62.54,62.48,62.35,62.14 | +| skyscraper | 51.83,51.81,51.69,51.53,51.46,51.38,51.53,51.61,51.84,52.09,52.37 | +| fireplace | 71.25,71.62,71.89,71.66,71.56,71.6,71.53,71.42,71.33,71.12,70.91 | +| refrigerator | 69.08,69.59,69.58,69.68,69.59,69.47,69.59,69.58,69.47,69.58,69.58 | +| grandstand | 50.45,49.99,50.32,50.37,50.18,50.23,50.21,50.27,50.21,50.22,50.35 | +| path | 19.5,19.63,19.6,19.65,19.57,19.53,19.62,19.59,19.57,19.72,19.79 | +| stairs | 32.8,32.5,32.69,32.55,32.51,32.58,32.62,32.57,32.67,32.78,32.97 | +| runway | 65.08,65.28,65.38,65.35,65.38,65.41,65.41,65.53,65.54,65.59,65.52 | +| case | 47.79,48.09,48.24,48.2,48.21,48.34,48.32,48.33,48.24,48.22,48.14 | +| pool table | 87.46,87.99,87.92,87.9,87.84,87.71,87.7,87.6,87.64,87.63,87.6 | +| pillow | 47.37,48.35,48.25,48.16,48.15,48.04,47.95,47.92,47.88,47.83,47.69 | +| screen door | 64.88,64.93,65.23,65.27,65.18,65.19,65.2,65.22,65.34,65.31,65.34 | +| stairway | 21.18,21.45,21.46,21.37,21.44,21.51,21.52,21.52,21.52,21.63,21.75 | +| river | 10.82,10.91,10.85,10.86,10.83,10.83,10.86,10.84,10.82,10.79,10.83 | +| bridge | 31.61,32.02,32.08,32.15,32.15,32.06,32.0,32.02,32.04,32.07,32.18 | +| bookcase | 41.03,41.66,41.76,41.65,41.74,41.78,41.61,41.72,41.59,41.59,41.45 | +| blind | 32.49,32.62,32.61,32.54,32.47,32.37,32.41,32.39,32.34,32.46,32.5 | +| coffee table | 48.85,49.51,49.66,49.63,49.76,49.68,49.75,49.61,49.53,49.39,49.22 | +| toilet | 79.74,79.75,79.77,79.77,79.9,79.93,79.84,79.91,79.85,79.77,79.52 | +| flower | 36.28,36.59,36.4,36.47,36.42,36.31,36.4,36.31,36.18,36.09,35.97 | +| book | 42.69,43.09,43.04,43.1,43.0,42.97,42.95,42.72,42.68,42.62,42.6 | +| hill | 11.96,12.28,12.21,12.18,12.23,12.12,12.16,12.08,12.1,12.11,12.04 | +| bench | 40.72,41.69,41.5,41.54,41.58,41.53,41.43,41.36,41.14,40.86,40.62 | +| countertop | 48.79,48.81,49.11,49.02,49.04,48.98,49.02,49.05,48.95,48.94,48.89 | +| stove | 65.36,65.95,66.11,66.18,66.26,66.09,66.19,66.23,66.32,66.5,66.55 | +| palm | 45.3,45.93,46.01,45.95,45.98,46.05,45.91,45.95,45.91,45.92,45.72 | +| kitchen island | 31.68,32.34,32.3,32.23,32.24,32.36,32.2,32.13,32.07,31.95,31.88 | +| computer | 53.65,54.43,54.47,54.42,54.46,54.38,54.4,54.25,54.09,53.88,53.56 | +| swivel chair | 42.91,43.0,42.99,43.02,43.08,43.21,43.26,43.15,43.29,43.37,43.36 | +| boat | 65.43,66.09,65.94,66.21,66.37,66.34,66.54,66.61,66.61,66.75,66.77 | +| bar | 22.49,23.01,23.03,22.99,22.98,22.94,22.87,22.93,22.94,22.99,22.96 | +| arcade machine | 69.08,68.89,69.23,69.43,69.6,69.87,69.91,70.21,70.49,70.84,71.08 | +| hovel | 27.95,27.57,27.62,27.58,27.68,27.69,27.96,28.0,28.57,28.82,29.01 | +| bus | 76.08,76.17,76.29,76.34,76.43,76.38,76.5,76.44,76.36,76.22,76.0 | +| towel | 56.82,57.25,57.27,57.35,57.47,57.36,57.41,57.28,57.31,57.22,57.1 | +| light | 23.02,23.22,23.36,23.84,24.21,24.7,25.11,25.41,26.05,26.67,27.54 | +| truck | 17.11,17.43,17.34,17.18,17.13,17.15,17.07,16.96,16.67,16.76,16.7 | +| tower | 12.19,12.21,12.34,12.31,12.31,12.34,12.36,12.33,12.27,12.18,12.14 | +| chandelier | 60.78,61.43,61.28,61.33,61.29,61.14,61.2,60.97,61.06,60.91,60.75 | +| awning | 19.13,19.12,19.16,19.23,19.17,19.21,19.36,19.25,19.5,19.59,19.8 | +| streetlight | 21.05,21.1,21.06,21.05,21.14,21.19,21.16,21.23,21.29,21.3,21.3 | +| booth | 39.21,39.26,39.24,38.94,38.94,39.04,39.07,39.19,39.36,39.59,39.85 | +| television receiver | 62.47,62.83,62.82,62.78,62.59,62.77,62.66,62.61,62.66,62.71,62.65 | +| airplane | 55.13,55.9,55.97,55.84,56.0,55.9,56.25,56.0,56.25,56.31,56.28 | +| dirt track | 13.92,14.43,14.57,14.8,14.58,14.66,14.72,14.65,14.73,14.46,14.24 | +| apparel | 31.22,32.43,32.43,32.5,32.4,32.5,32.27,32.15,32.02,31.66,31.51 | +| pole | 5.04,5.63,5.68,5.78,5.88,5.87,6.13,6.27,6.36,6.58,6.61 | +| land | 4.42,4.09,3.96,4.13,4.27,4.21,4.32,4.48,4.56,4.67,4.73 | +| bannister | 9.85,9.59,9.75,9.67,9.76,9.83,9.74,9.79,10.0,10.09,10.2 | +| escalator | 21.8,22.21,22.23,22.21,22.41,22.49,22.81,22.98,23.17,23.32,23.35 | +| ottoman | 35.7,36.35,36.66,36.55,36.54,36.64,36.57,36.69,36.52,36.55,36.43 | +| bottle | 28.82,29.35,29.55,29.53,29.49,29.37,29.35,28.97,28.74,28.41,28.69 | +| buffet | 39.0,38.46,38.66,38.81,39.19,39.51,39.68,40.04,40.02,40.44,40.56 | +| poster | 20.5,20.46,20.45,20.52,20.7,20.76,20.7,20.72,20.87,20.76,20.71 | +| stage | 12.64,12.54,12.44,12.42,12.43,12.45,12.45,12.52,12.64,12.79,12.89 | +| van | 35.83,36.28,36.44,36.51,36.43,36.37,36.39,36.19,36.2,36.08,36.06 | +| ship | 70.15,69.8,70.28,70.52,70.77,70.95,71.26,71.49,71.71,71.81,71.72 | +| fountain | 8.64,8.7,8.6,8.38,8.16,8.17,8.17,8.32,8.31,8.44,8.52 | +| conveyer belt | 79.05,79.47,79.54,79.63,79.55,79.55,79.42,79.25,79.25,78.99,78.71 | +| canopy | 18.26,18.94,18.91,18.99,18.84,18.82,18.71,18.61,18.81,18.68,18.62 | +| washer | 76.31,75.45,75.69,75.46,75.63,75.71,75.74,76.16,76.51,77.18,77.44 | +| plaything | 18.58,18.76,18.77,18.86,18.98,18.84,18.92,18.78,18.86,18.76,18.6 | +| swimming pool | 71.11,71.63,71.77,71.58,71.77,71.81,71.82,71.61,71.62,71.72,71.89 | +| stool | 33.63,34.79,34.87,34.9,34.8,34.83,34.74,34.57,34.82,34.82,34.71 | +| barrel | 27.12,25.6,25.51,25.83,26.54,27.26,27.17,27.34,28.74,29.32,29.42 | +| basket | 19.62,20.52,20.4,20.52,20.42,20.39,20.11,20.1,20.12,20.03,19.91 | +| waterfall | 50.43,51.33,51.13,51.05,50.76,50.42,50.32,50.13,49.79,50.06,50.41 | +| tent | 89.4,90.95,90.88,90.97,91.21,91.05,90.96,90.79,90.67,90.56,90.23 | +| bag | 9.25,9.1,9.07,8.98,9.13,8.96,9.04,9.05,9.27,9.43,9.63 | +| minibike | 49.54,51.98,52.17,51.92,51.84,51.82,51.57,52.0,51.88,51.87,51.92 | +| cradle | 79.81,80.14,80.28,80.24,80.47,80.36,80.39,80.57,80.74,80.65,80.75 | +| oven | 42.16,42.69,42.85,43.39,43.28,43.44,43.59,43.79,43.99,44.26,44.32 | +| ball | 38.18,37.82,38.0,37.98,38.07,38.04,38.18,38.07,38.03,38.12,37.98 | +| food | 47.21,47.13,47.57,47.95,48.37,48.47,48.86,49.17,49.37,49.23,48.91 | +| step | 5.02,5.02,4.94,4.96,4.83,4.72,4.9,4.77,4.69,4.51,4.38 | +| tank | 49.43,49.81,49.78,49.69,49.52,49.43,49.12,49.15,49.15,49.3,49.48 | +| trade name | 23.76,23.21,23.34,23.38,23.59,23.8,23.79,24.06,24.3,24.41,24.66 | +| microwave | 71.16,71.61,71.79,71.91,72.22,72.33,72.68,72.91,73.13,73.28,73.32 | +| pot | 19.39,20.03,19.97,20.07,20.06,20.19,20.13,20.33,20.56,20.7,21.03 | +| animal | 49.53,50.22,50.13,50.12,49.99,49.91,49.98,49.8,49.78,49.71,49.69 | +| bicycle | 47.3,46.96,47.27,47.43,47.49,47.82,47.84,48.2,48.2,48.07,47.9 | +| lake | 56.51,56.41,56.43,56.52,56.56,56.58,56.61,56.6,56.59,56.61,56.54 | +| dishwasher | 61.09,61.45,61.67,61.43,61.38,61.12,61.27,61.05,60.89,60.52,60.31 | +| screen | 61.4,62.1,62.38,62.11,62.37,62.14,62.2,61.7,61.38,61.36,61.36 | +| blanket | 13.87,13.69,13.9,13.92,14.02,14.02,14.09,14.26,14.38,14.38,14.42 | +| sculpture | 56.19,57.43,57.64,57.45,57.62,57.39,57.14,57.11,56.59,56.17,55.55 | +| hood | 50.04,51.24,51.27,51.1,51.43,51.58,51.79,51.89,51.96,52.11,51.93 | +| sconce | 3.68,4.18,4.1,4.05,3.92,3.83,3.74,3.68,3.57,3.47,3.26 | +| vase | 22.03,23.22,23.17,23.13,23.28,23.23,23.2,23.25,23.01,23.07,22.51 | +| traffic light | 26.2,26.55,26.67,26.77,26.5,26.48,26.65,26.81,26.9,26.91,26.9 | +| tray | 3.94,3.86,3.7,3.87,3.81,3.73,3.76,3.71,3.95,4.01,4.01 | +| ashcan | 25.83,27.59,27.55,27.58,27.76,27.97,28.01,27.96,28.24,28.39,28.69 | +| fan | 49.43,49.5,49.57,49.75,49.79,49.99,50.15,49.8,50.1,50.17,50.32 | +| pier | 32.97,37.69,38.12,38.34,38.21,37.53,37.08,36.25,35.28,35.71,36.05 | +| crt screen | 5.05,5.83,6.01,5.56,5.7,5.33,5.32,5.02,4.93,5.08,5.08 | +| plate | 41.43,41.33,42.0,42.48,42.79,42.69,43.49,43.72,43.62,43.85,43.91 | +| monitor | 12.59,12.35,12.17,11.97,11.68,11.48,11.23,11.03,10.78,10.62,10.64 | +| bulletin board | 27.85,29.53,29.7,29.66,29.74,29.61,29.92,29.85,30.37,30.83,31.06 | +| shower | 0.56,0.41,0.36,0.37,0.34,0.32,0.39,0.34,0.42,0.44,0.44 | +| radiator | 43.03,43.34,43.43,44.02,44.41,44.93,45.15,45.91,46.62,47.19,47.54 | +| glass | 7.88,7.45,7.6,7.66,7.91,7.97,8.23,8.18,8.27,8.27,8.41 | +| clock | 29.57,29.73,30.01,30.07,30.34,30.46,30.14,30.16,30.28,30.64,30.79 | +| flag | 30.92,31.25,31.23,31.34,31.36,31.7,31.69,31.79,31.93,31.8,31.87 | ++---------------------+-------------------------------------------------------------------+ +2023-03-06 10:13:26,893 - mmseg - INFO - Summary: +2023-03-06 10:13:26,893 - mmseg - INFO - ++-----------------------------------------------------------------+ +| mIoU 0,10,20,30,40,50,60,70,80,90,99 | ++-----------------------------------------------------------------+ +| 43.22,43.6,43.66,43.66,43.69,43.68,43.69,43.68,43.7,43.71,43.68 | ++-----------------------------------------------------------------+ +2023-03-06 10:13:26,893 - mmseg - INFO - Exp name: ablation_segformer_mit_b2_segformer_head_unet_fc_small_multi_step_ade_pretrained_freeze_embed_160k_ade20k151_finetune_ema_ce.py +2023-03-06 10:13:26,893 - mmseg - INFO - Iter(val) [250] mIoU: [0.4322, 0.436, 0.4366, 0.4366, 0.4369, 0.4368, 0.4369, 0.4368, 0.437, 0.4371, 0.4368], copy_paste: 43.22,43.6,43.66,43.66,43.69,43.68,43.69,43.68,43.7,43.71,43.68 diff --git a/ablation/ablation_segformer_mit_b2_segformer_head_unet_fc_small_multi_step_ade_pretrained_freeze_embed_160k_ade20k151_finetune_ema_ce/20230305_231207.log.json b/ablation/ablation_segformer_mit_b2_segformer_head_unet_fc_small_multi_step_ade_pretrained_freeze_embed_160k_ade20k151_finetune_ema_ce/20230305_231207.log.json new file mode 100644 index 0000000000000000000000000000000000000000..1dba3fe390814a8f798f889edee39ac83f3fc4b0 --- /dev/null +++ b/ablation/ablation_segformer_mit_b2_segformer_head_unet_fc_small_multi_step_ade_pretrained_freeze_embed_160k_ade20k151_finetune_ema_ce/20230305_231207.log.json @@ -0,0 +1,3211 @@ +{"env_info": "sys.platform: linux\nPython: 3.7.16 (default, Jan 17 2023, 22:20:44) [GCC 11.2.0]\nCUDA available: True\nGPU 0,1,2,3,4,5,6,7: NVIDIA A100-SXM4-80GB\nCUDA_HOME: /mnt/petrelfs/laizeqiang/miniconda3/envs/torch\nNVCC: Cuda compilation tools, release 11.6, V11.6.124\nGCC: gcc (GCC) 4.8.5 20150623 (Red Hat 4.8.5-44)\nPyTorch: 1.13.1\nPyTorch compiling details: PyTorch built with:\n - GCC 9.3\n - C++ Version: 201402\n - Intel(R) oneAPI Math Kernel Library Version 2021.4-Product Build 20210904 for Intel(R) 64 architecture applications\n - Intel(R) MKL-DNN v2.6.0 (Git Hash 52b5f107dd9cf10910aaa19cb47f3abf9b349815)\n - OpenMP 201511 (a.k.a. OpenMP 4.5)\n - LAPACK is enabled (usually provided by MKL)\n - NNPACK is enabled\n - CPU capability usage: AVX2\n - CUDA Runtime 11.6\n - NVCC architecture flags: -gencode;arch=compute_37,code=sm_37;-gencode;arch=compute_50,code=sm_50;-gencode;arch=compute_60,code=sm_60;-gencode;arch=compute_61,code=sm_61;-gencode;arch=compute_70,code=sm_70;-gencode;arch=compute_75,code=sm_75;-gencode;arch=compute_80,code=sm_80;-gencode;arch=compute_86,code=sm_86;-gencode;arch=compute_37,code=compute_37\n - CuDNN 8.3.2 (built against CUDA 11.5)\n - Magma 2.6.1\n - Build settings: BLAS_INFO=mkl, BUILD_TYPE=Release, CUDA_VERSION=11.6, CUDNN_VERSION=8.3.2, CXX_COMPILER=/opt/rh/devtoolset-9/root/usr/bin/c++, CXX_FLAGS= -fabi-version=11 -Wno-deprecated -fvisibility-inlines-hidden -DUSE_PTHREADPOOL -fopenmp -DNDEBUG -DUSE_KINETO -DUSE_FBGEMM -DUSE_QNNPACK -DUSE_PYTORCH_QNNPACK -DUSE_XNNPACK -DSYMBOLICATE_MOBILE_DEBUG_HANDLE -DEDGE_PROFILER_USE_KINETO -O2 -fPIC -Wno-narrowing -Wall -Wextra -Werror=return-type -Werror=non-virtual-dtor -Wno-missing-field-initializers -Wno-type-limits -Wno-array-bounds -Wno-unknown-pragmas -Wunused-local-typedefs -Wno-unused-parameter -Wno-unused-function -Wno-unused-result -Wno-strict-overflow -Wno-strict-aliasing -Wno-error=deprecated-declarations -Wno-stringop-overflow -Wno-psabi -Wno-error=pedantic -Wno-error=redundant-decls -Wno-error=old-style-cast -fdiagnostics-color=always -faligned-new -Wno-unused-but-set-variable -Wno-maybe-uninitialized -fno-math-errno -fno-trapping-math -Werror=format -Werror=cast-function-type -Wno-stringop-overflow, LAPACK_INFO=mkl, PERF_WITH_AVX=1, PERF_WITH_AVX2=1, PERF_WITH_AVX512=1, TORCH_VERSION=1.13.1, USE_CUDA=ON, USE_CUDNN=ON, USE_EXCEPTION_PTR=1, USE_GFLAGS=OFF, USE_GLOG=OFF, USE_MKL=ON, USE_MKLDNN=ON, USE_MPI=OFF, USE_NCCL=ON, USE_NNPACK=ON, USE_OPENMP=ON, USE_ROCM=OFF, \n\nTorchVision: 0.14.1\nOpenCV: 4.7.0\nMMCV: 1.7.1\nMMCV Compiler: GCC 9.3\nMMCV CUDA Compiler: 11.6\nMMSegmentation: 0.30.0+6db5ece", "seed": 1736891241, "exp_name": "ablation_segformer_mit_b2_segformer_head_unet_fc_small_multi_step_ade_pretrained_freeze_embed_160k_ade20k151_finetune_ema_ce.py", "mmseg_version": "0.30.0+6db5ece", "config": "norm_cfg = dict(type='SyncBN', requires_grad=True)\ncheckpoint = 'work_dirs2/segformer_mit_b2_segformer_head_unet_fc_single_step_ade_pretrained_freeze_embed_80k_ade20k151/best_mIoU_iter_64000.pth'\nmodel = dict(\n type='EncoderDecoderDiffusion',\n freeze_parameters=['backbone', 'decode_head'],\n pretrained=\n 'work_dirs2/segformer_mit_b2_segformer_head_unet_fc_single_step_ade_pretrained_freeze_embed_80k_ade20k151/best_mIoU_iter_64000.pth',\n backbone=dict(\n type='MixVisionTransformerCustomInitWeights',\n in_channels=3,\n embed_dims=64,\n num_stages=4,\n num_layers=[3, 4, 6, 3],\n num_heads=[1, 2, 5, 8],\n patch_sizes=[7, 3, 3, 3],\n sr_ratios=[8, 4, 2, 1],\n out_indices=(0, 1, 2, 3),\n mlp_ratio=4,\n qkv_bias=True,\n drop_rate=0.0,\n attn_drop_rate=0.0,\n drop_path_rate=0.1,\n pretrained=\n 'work_dirs2/segformer_mit_b2_segformer_head_unet_fc_single_step_ade_pretrained_freeze_embed_80k_ade20k151/best_mIoU_iter_64000.pth'\n ),\n decode_head=dict(\n type='SegformerHeadUnetFCHeadMultiStepCE',\n pretrained=\n 'work_dirs2/segformer_mit_b2_segformer_head_unet_fc_single_step_ade_pretrained_freeze_embed_80k_ade20k151/best_mIoU_iter_64000.pth',\n dim=128,\n out_dim=256,\n unet_channels=272,\n dim_mults=[1, 1, 1],\n cat_embedding_dim=16,\n diffusion_timesteps=100,\n collect_timesteps=[0, 10, 20, 30, 40, 50, 60, 70, 80, 90, 99],\n in_channels=[64, 128, 320, 512],\n in_index=[0, 1, 2, 3],\n channels=256,\n dropout_ratio=0.1,\n num_classes=151,\n norm_cfg=dict(type='SyncBN', requires_grad=True),\n align_corners=False,\n ignore_index=0,\n loss_decode=dict(\n type='CrossEntropyLoss', use_sigmoid=False, loss_weight=0.1)),\n train_cfg=dict(),\n test_cfg=dict(mode='whole'))\ndataset_type = 'ADE20K151Dataset'\ndata_root = 'data/ade/ADEChallengeData2016'\nimg_norm_cfg = dict(\n mean=[123.675, 116.28, 103.53], std=[58.395, 57.12, 57.375], to_rgb=True)\ncrop_size = (512, 512)\ntrain_pipeline = [\n dict(type='LoadImageFromFile'),\n dict(type='LoadAnnotations', reduce_zero_label=False),\n dict(type='Resize', img_scale=(2048, 512), ratio_range=(0.5, 2.0)),\n dict(type='RandomCrop', crop_size=(512, 512), cat_max_ratio=0.75),\n dict(type='RandomFlip', prob=0.5),\n dict(type='PhotoMetricDistortion'),\n dict(\n type='Normalize',\n mean=[123.675, 116.28, 103.53],\n std=[58.395, 57.12, 57.375],\n to_rgb=True),\n dict(type='Pad', size=(512, 512), pad_val=0, seg_pad_val=0),\n dict(type='DefaultFormatBundle'),\n dict(type='Collect', keys=['img', 'gt_semantic_seg'])\n]\ntest_pipeline = [\n dict(type='LoadImageFromFile'),\n dict(\n type='MultiScaleFlipAug',\n img_scale=(2048, 512),\n flip=False,\n transforms=[\n dict(type='Resize', keep_ratio=True),\n dict(type='RandomFlip'),\n dict(\n type='Normalize',\n mean=[123.675, 116.28, 103.53],\n std=[58.395, 57.12, 57.375],\n to_rgb=True),\n dict(type='Pad', size_divisor=16, pad_val=0, seg_pad_val=0),\n dict(type='ImageToTensor', keys=['img']),\n dict(type='Collect', keys=['img'])\n ])\n]\ndata = dict(\n samples_per_gpu=4,\n workers_per_gpu=4,\n train=dict(\n type='ADE20K151Dataset',\n data_root='data/ade/ADEChallengeData2016',\n img_dir='images/training',\n ann_dir='annotations/training',\n pipeline=[\n dict(type='LoadImageFromFile'),\n dict(type='LoadAnnotations', reduce_zero_label=False),\n dict(type='Resize', img_scale=(2048, 512), ratio_range=(0.5, 2.0)),\n dict(type='RandomCrop', crop_size=(512, 512), cat_max_ratio=0.75),\n dict(type='RandomFlip', prob=0.5),\n dict(type='PhotoMetricDistortion'),\n dict(\n type='Normalize',\n mean=[123.675, 116.28, 103.53],\n std=[58.395, 57.12, 57.375],\n to_rgb=True),\n dict(type='Pad', size=(512, 512), pad_val=0, seg_pad_val=0),\n dict(type='DefaultFormatBundle'),\n dict(type='Collect', keys=['img', 'gt_semantic_seg'])\n ]),\n val=dict(\n type='ADE20K151Dataset',\n data_root='data/ade/ADEChallengeData2016',\n img_dir='images/validation',\n ann_dir='annotations/validation',\n pipeline=[\n dict(type='LoadImageFromFile'),\n dict(\n type='MultiScaleFlipAug',\n img_scale=(2048, 512),\n flip=False,\n transforms=[\n dict(type='Resize', keep_ratio=True),\n dict(type='RandomFlip'),\n dict(\n type='Normalize',\n mean=[123.675, 116.28, 103.53],\n std=[58.395, 57.12, 57.375],\n to_rgb=True),\n dict(\n type='Pad', size_divisor=16, pad_val=0, seg_pad_val=0),\n dict(type='ImageToTensor', keys=['img']),\n dict(type='Collect', keys=['img'])\n ])\n ]),\n test=dict(\n type='ADE20K151Dataset',\n data_root='data/ade/ADEChallengeData2016',\n img_dir='images/validation',\n ann_dir='annotations/validation',\n pipeline=[\n dict(type='LoadImageFromFile'),\n dict(\n type='MultiScaleFlipAug',\n img_scale=(2048, 512),\n flip=False,\n transforms=[\n dict(type='Resize', keep_ratio=True),\n dict(type='RandomFlip'),\n dict(\n type='Normalize',\n mean=[123.675, 116.28, 103.53],\n std=[58.395, 57.12, 57.375],\n to_rgb=True),\n dict(\n type='Pad', size_divisor=16, pad_val=0, seg_pad_val=0),\n dict(type='ImageToTensor', keys=['img']),\n dict(type='Collect', keys=['img'])\n ])\n ]))\nlog_config = dict(\n interval=50, hooks=[dict(type='TextLoggerHook', by_epoch=False)])\ndist_params = dict(backend='nccl')\nlog_level = 'INFO'\nload_from = None\nresume_from = None\nworkflow = [('train', 1)]\ncudnn_benchmark = True\noptimizer = dict(\n type='AdamW', lr=0.00015, betas=[0.9, 0.96], weight_decay=0.045)\noptimizer_config = dict()\nlr_config = dict(\n policy='step',\n warmup='linear',\n warmup_iters=1000,\n warmup_ratio=1e-06,\n step=20000,\n gamma=0.5,\n min_lr=1e-06,\n by_epoch=False)\nrunner = dict(type='IterBasedRunner', max_iters=160000)\ncheckpoint_config = dict(by_epoch=False, interval=16000, max_keep_ckpts=1)\nevaluation = dict(\n interval=16000, metric='mIoU', pre_eval=True, save_best='mIoU')\ncustom_hooks = [\n dict(\n type='ConstantMomentumEMAHook',\n momentum=0.01,\n interval=25,\n eval_interval=16000,\n auto_resume=True,\n priority=49)\n]\nwork_dir = './work_dirs2/ablation_segformer_mit_b2_segformer_head_unet_fc_small_multi_step_ade_pretrained_freeze_embed_160k_ade20k151_finetune_ema_ce'\ngpu_ids = range(0, 8)\nauto_resume = True\ndevice = 'cuda'\nseed = 1736891241\n", "CLASSES": ["background", "wall", "building", "sky", "floor", "tree", "ceiling", "road", "bed ", "windowpane", "grass", "cabinet", "sidewalk", "person", "earth", "door", "table", "mountain", "plant", "curtain", "chair", "car", "water", "painting", "sofa", "shelf", "house", "sea", "mirror", "rug", "field", "armchair", "seat", "fence", "desk", "rock", "wardrobe", "lamp", "bathtub", "railing", "cushion", "base", "box", "column", "signboard", "chest of drawers", "counter", "sand", "sink", "skyscraper", "fireplace", "refrigerator", "grandstand", "path", "stairs", "runway", "case", "pool table", "pillow", "screen door", "stairway", "river", "bridge", "bookcase", "blind", "coffee table", "toilet", "flower", "book", "hill", "bench", "countertop", "stove", "palm", "kitchen island", "computer", "swivel chair", "boat", "bar", "arcade machine", "hovel", "bus", "towel", "light", "truck", "tower", "chandelier", "awning", "streetlight", "booth", "television receiver", "airplane", "dirt track", "apparel", "pole", "land", "bannister", "escalator", "ottoman", "bottle", "buffet", "poster", "stage", "van", "ship", "fountain", "conveyer belt", "canopy", "washer", "plaything", "swimming pool", "stool", "barrel", "basket", "waterfall", "tent", "bag", "minibike", "cradle", "oven", "ball", "food", "step", "tank", "trade name", "microwave", "pot", "animal", "bicycle", "lake", "dishwasher", "screen", "blanket", "sculpture", "hood", "sconce", "vase", "traffic light", "tray", "ashcan", "fan", "pier", "crt screen", "plate", "monitor", "bulletin board", "shower", "radiator", "glass", "clock", "flag"], "PALETTE": [[0, 0, 0], [120, 120, 120], [180, 120, 120], [6, 230, 230], [80, 50, 50], [4, 200, 3], [120, 120, 80], [140, 140, 140], [204, 5, 255], [230, 230, 230], [4, 250, 7], [224, 5, 255], [235, 255, 7], [150, 5, 61], [120, 120, 70], [8, 255, 51], [255, 6, 82], [143, 255, 140], [204, 255, 4], [255, 51, 7], [204, 70, 3], [0, 102, 200], [61, 230, 250], [255, 6, 51], [11, 102, 255], [255, 7, 71], [255, 9, 224], [9, 7, 230], [220, 220, 220], [255, 9, 92], [112, 9, 255], [8, 255, 214], [7, 255, 224], [255, 184, 6], [10, 255, 71], [255, 41, 10], [7, 255, 255], [224, 255, 8], [102, 8, 255], [255, 61, 6], [255, 194, 7], [255, 122, 8], [0, 255, 20], [255, 8, 41], [255, 5, 153], [6, 51, 255], [235, 12, 255], [160, 150, 20], [0, 163, 255], [140, 140, 140], [250, 10, 15], [20, 255, 0], [31, 255, 0], [255, 31, 0], [255, 224, 0], [153, 255, 0], [0, 0, 255], [255, 71, 0], [0, 235, 255], [0, 173, 255], [31, 0, 255], [11, 200, 200], [255, 82, 0], [0, 255, 245], [0, 61, 255], [0, 255, 112], 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0], [0, 153, 255], [0, 41, 255], [0, 255, 204], [41, 0, 255], [41, 255, 0], [173, 0, 255], [0, 245, 255], [71, 0, 255], [122, 0, 255], [0, 255, 184], [0, 92, 255], [184, 255, 0], [0, 133, 255], [255, 214, 0], [25, 194, 194], [102, 255, 0], [92, 0, 255]], "hook_msgs": {}} +{"mode": "train", "epoch": 1, "iter": 50, "lr": 1e-05, "memory": 19921, "data_time": 0.01646, "decode.loss_ce": 0.01961, "decode.acc_seg": 91.9722, "decode.kl_loss": 0.15332, "loss": 0.17293, "time": 0.34532} +{"mode": "train", "epoch": 1, "iter": 100, "lr": 1e-05, "memory": 19921, "data_time": 0.00647, "decode.loss_ce": 0.02126, "decode.acc_seg": 91.37837, "decode.kl_loss": 0.12342, "loss": 0.14467, "time": 0.20302} +{"mode": "train", "epoch": 1, "iter": 150, "lr": 2e-05, "memory": 19921, "data_time": 0.00645, "decode.loss_ce": 0.02373, "decode.acc_seg": 91.08882, "decode.kl_loss": 0.11286, "loss": 0.13659, "time": 0.20297} +{"mode": "train", "epoch": 1, "iter": 200, "lr": 3e-05, "memory": 19921, "data_time": 0.00662, "decode.loss_ce": 0.02584, "decode.acc_seg": 90.88555, "decode.kl_loss": 0.10158, "loss": 0.12742, "time": 0.20282} +{"mode": "train", "epoch": 1, "iter": 250, "lr": 4e-05, "memory": 19921, "data_time": 0.00656, "decode.loss_ce": 0.02839, "decode.acc_seg": 90.58786, "decode.kl_loss": 0.08922, "loss": 0.11761, "time": 0.1981} +{"mode": "train", "epoch": 1, "iter": 300, "lr": 4e-05, "memory": 19921, "data_time": 0.00659, "decode.loss_ce": 0.02974, "decode.acc_seg": 90.53345, "decode.kl_loss": 0.08192, "loss": 0.11166, "time": 0.1995} +{"mode": "train", "epoch": 1, "iter": 350, "lr": 5e-05, "memory": 19921, "data_time": 0.00673, "decode.loss_ce": 0.03209, "decode.acc_seg": 90.09791, "decode.kl_loss": 0.08023, "loss": 0.11232, "time": 0.19679} +{"mode": "train", "epoch": 1, "iter": 400, "lr": 6e-05, "memory": 19921, "data_time": 0.00699, "decode.loss_ce": 0.0324, "decode.acc_seg": 90.1, "decode.kl_loss": 0.07641, "loss": 0.10881, "time": 0.20116} +{"mode": "train", "epoch": 1, 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0.10195, "time": 0.24996} +{"mode": "train", "epoch": 2, "iter": 700, "lr": 0.0001, "memory": 19921, "data_time": 0.00702, "decode.loss_ce": 0.03507, "decode.acc_seg": 89.96258, "decode.kl_loss": 0.06222, "loss": 0.0973, "time": 0.19982} +{"mode": "train", "epoch": 2, "iter": 750, "lr": 0.00011, "memory": 19921, "data_time": 0.00712, "decode.loss_ce": 0.03594, "decode.acc_seg": 89.74607, "decode.kl_loss": 0.0595, "loss": 0.09544, "time": 0.20099} +{"mode": "train", "epoch": 2, "iter": 800, "lr": 0.00012, "memory": 19921, "data_time": 0.0073, "decode.loss_ce": 0.03503, "decode.acc_seg": 90.22989, "decode.kl_loss": 0.05831, "loss": 0.09334, "time": 0.20257} +{"mode": "train", "epoch": 2, "iter": 850, "lr": 0.00013, "memory": 19921, "data_time": 0.00729, "decode.loss_ce": 0.03836, "decode.acc_seg": 89.34294, "decode.kl_loss": 0.06184, "loss": 0.1002, "time": 0.20175} +{"mode": "train", "epoch": 2, "iter": 900, "lr": 0.00013, "memory": 19921, "data_time": 0.00734, "decode.loss_ce": 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"lr": 0.00015, "memory": 19921, "data_time": 0.00729, "decode.loss_ce": 0.0445, "decode.acc_seg": 89.05353, "decode.kl_loss": 0.05929, "loss": 0.10379, "time": 0.19936} +{"mode": "train", "epoch": 2, "iter": 1200, "lr": 0.00015, "memory": 19921, "data_time": 0.00755, "decode.loss_ce": 0.04257, "decode.acc_seg": 89.22294, "decode.kl_loss": 0.05494, "loss": 0.09752, "time": 0.20238} +{"mode": "train", "epoch": 2, "iter": 1250, "lr": 0.00015, "memory": 19921, "data_time": 0.00738, "decode.loss_ce": 0.03963, "decode.acc_seg": 89.89217, "decode.kl_loss": 0.05114, "loss": 0.09077, "time": 0.203} +{"mode": "train", "epoch": 3, "iter": 1300, "lr": 0.00015, "memory": 19921, "data_time": 0.05624, "decode.loss_ce": 0.03873, "decode.acc_seg": 89.7529, "decode.kl_loss": 0.05252, "loss": 0.09125, "time": 0.24725} +{"mode": "train", "epoch": 3, "iter": 1350, "lr": 0.00015, "memory": 19921, "data_time": 0.00702, "decode.loss_ce": 0.03796, "decode.acc_seg": 89.8007, "decode.kl_loss": 0.05455, "loss": 0.09252, "time": 0.19835} +{"mode": "train", "epoch": 3, "iter": 1400, "lr": 0.00015, "memory": 19921, "data_time": 0.00752, "decode.loss_ce": 0.03997, "decode.acc_seg": 89.74445, "decode.kl_loss": 0.05112, "loss": 0.09109, "time": 0.20064} +{"mode": "train", "epoch": 3, "iter": 1450, "lr": 0.00015, "memory": 19921, "data_time": 0.0073, "decode.loss_ce": 0.04094, "decode.acc_seg": 89.39049, "decode.kl_loss": 0.04851, "loss": 0.08944, "time": 0.21756} +{"mode": "train", "epoch": 3, "iter": 1500, "lr": 0.00015, "memory": 19921, "data_time": 0.00748, "decode.loss_ce": 0.03803, "decode.acc_seg": 90.17731, "decode.kl_loss": 0.04773, "loss": 0.08576, "time": 0.20141} +{"mode": "train", "epoch": 3, "iter": 1550, "lr": 0.00015, "memory": 19921, "data_time": 0.00731, "decode.loss_ce": 0.04124, "decode.acc_seg": 89.35753, "decode.kl_loss": 0.05224, "loss": 0.09348, "time": 0.19919} +{"mode": "train", "epoch": 3, "iter": 1600, "lr": 0.00015, "memory": 19921, "data_time": 0.00722, "decode.loss_ce": 0.04073, "decode.acc_seg": 89.51834, "decode.kl_loss": 0.05443, "loss": 0.09516, "time": 0.20352} +{"mode": "train", "epoch": 3, "iter": 1650, "lr": 0.00015, "memory": 19921, "data_time": 0.00734, "decode.loss_ce": 0.03888, "decode.acc_seg": 89.75544, "decode.kl_loss": 0.05081, "loss": 0.08969, "time": 0.19839} +{"mode": "train", "epoch": 3, "iter": 1700, "lr": 0.00015, "memory": 19921, "data_time": 0.00747, "decode.loss_ce": 0.04235, "decode.acc_seg": 89.30833, "decode.kl_loss": 0.05458, "loss": 0.09693, "time": 0.20006} +{"mode": "train", "epoch": 3, "iter": 1750, "lr": 0.00015, "memory": 19921, "data_time": 0.00743, "decode.loss_ce": 0.04117, "decode.acc_seg": 89.29153, "decode.kl_loss": 0.05474, "loss": 0.09591, "time": 0.19823} +{"mode": "train", "epoch": 3, "iter": 1800, "lr": 0.00015, "memory": 19921, "data_time": 0.00757, "decode.loss_ce": 0.03904, "decode.acc_seg": 89.69289, "decode.kl_loss": 0.0548, "loss": 0.09384, "time": 0.20747} +{"mode": "train", 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+{"mode": "train", "epoch": 251, "iter": 158100, "lr": 0.0, "memory": 52540, "data_time": 0.00709, "decode.loss_ce": 0.04, "decode.acc_seg": 88.82965, "decode.kl_loss": 0.06037, "loss": 0.10038, "time": 0.20205} +{"mode": "train", "epoch": 251, "iter": 158150, "lr": 0.0, "memory": 52540, "data_time": 0.00682, "decode.loss_ce": 0.04111, "decode.acc_seg": 88.62452, "decode.kl_loss": 0.06438, "loss": 0.10549, "time": 0.20367} +{"mode": "train", "epoch": 251, "iter": 158200, "lr": 0.0, "memory": 52540, "data_time": 0.00737, "decode.loss_ce": 0.04155, "decode.acc_seg": 88.56897, "decode.kl_loss": 0.06134, "loss": 0.10289, "time": 0.1989} +{"mode": "train", "epoch": 251, "iter": 158250, "lr": 0.0, "memory": 52540, "data_time": 0.00725, "decode.loss_ce": 0.04223, "decode.acc_seg": 88.23938, "decode.kl_loss": 0.0645, "loss": 0.10673, "time": 0.19976} +{"mode": "train", "epoch": 251, "iter": 158300, "lr": 0.0, "memory": 52540, "data_time": 0.00714, "decode.loss_ce": 0.04018, "decode.acc_seg": 88.66678, "decode.kl_loss": 0.06258, "loss": 0.10275, "time": 0.20259} +{"mode": "train", "epoch": 251, "iter": 158350, "lr": 0.0, "memory": 52540, "data_time": 0.00704, "decode.loss_ce": 0.04085, "decode.acc_seg": 88.68518, "decode.kl_loss": 0.06364, "loss": 0.10449, "time": 0.19879} +{"mode": "train", "epoch": 252, "iter": 158400, "lr": 0.0, "memory": 52540, "data_time": 0.05471, "decode.loss_ce": 0.04073, "decode.acc_seg": 88.59486, "decode.kl_loss": 0.06308, "loss": 0.10381, "time": 0.24743} +{"mode": "train", "epoch": 252, "iter": 158450, "lr": 0.0, "memory": 52540, "data_time": 0.00702, "decode.loss_ce": 0.04127, "decode.acc_seg": 88.5144, "decode.kl_loss": 0.06336, "loss": 0.10462, "time": 0.19851} +{"mode": "train", "epoch": 252, "iter": 158500, "lr": 0.0, "memory": 52540, "data_time": 0.00713, "decode.loss_ce": 0.04324, "decode.acc_seg": 88.22471, "decode.kl_loss": 0.06486, "loss": 0.10811, "time": 0.20061} +{"mode": "train", "epoch": 252, "iter": 158550, "lr": 0.0, "memory": 52540, "data_time": 0.00723, "decode.loss_ce": 0.04134, "decode.acc_seg": 88.50323, "decode.kl_loss": 0.0628, "loss": 0.10414, "time": 0.19805} +{"mode": "train", "epoch": 252, "iter": 158600, "lr": 0.0, "memory": 52540, "data_time": 0.00716, "decode.loss_ce": 0.04157, "decode.acc_seg": 88.45511, "decode.kl_loss": 0.06778, "loss": 0.10935, "time": 0.20046} +{"mode": "train", "epoch": 252, "iter": 158650, "lr": 0.0, "memory": 52540, "data_time": 0.00699, "decode.loss_ce": 0.0401, "decode.acc_seg": 88.85125, "decode.kl_loss": 0.06315, "loss": 0.10326, "time": 0.20008} +{"mode": "train", "epoch": 252, "iter": 158700, "lr": 0.0, "memory": 52540, "data_time": 0.00719, "decode.loss_ce": 0.03981, "decode.acc_seg": 88.89555, "decode.kl_loss": 0.06278, "loss": 0.10259, "time": 0.20286} +{"mode": "train", "epoch": 252, "iter": 158750, "lr": 0.0, "memory": 52540, "data_time": 0.00772, "decode.loss_ce": 0.04086, "decode.acc_seg": 88.73196, "decode.kl_loss": 0.06196, "loss": 0.10283, "time": 0.20497} +{"mode": "train", "epoch": 252, "iter": 158800, "lr": 0.0, "memory": 52540, "data_time": 0.0074, "decode.loss_ce": 0.04183, "decode.acc_seg": 88.36585, "decode.kl_loss": 0.06616, "loss": 0.10799, "time": 0.20271} +{"mode": "train", "epoch": 252, "iter": 158850, "lr": 0.0, "memory": 52540, "data_time": 0.00733, "decode.loss_ce": 0.03995, "decode.acc_seg": 88.71951, "decode.kl_loss": 0.06302, "loss": 0.10297, "time": 0.20395} +{"mode": "train", "epoch": 252, "iter": 158900, "lr": 0.0, "memory": 52540, "data_time": 0.0071, "decode.loss_ce": 0.04064, "decode.acc_seg": 88.63093, "decode.kl_loss": 0.06549, "loss": 0.10612, "time": 0.19819} +{"mode": "train", "epoch": 252, "iter": 158950, "lr": 0.0, "memory": 52540, "data_time": 0.00736, "decode.loss_ce": 0.03997, "decode.acc_seg": 88.69062, "decode.kl_loss": 0.06221, "loss": 0.10218, "time": 0.20114} +{"mode": "train", "epoch": 252, "iter": 159000, "lr": 0.0, "memory": 52540, "data_time": 0.00697, "decode.loss_ce": 0.04022, "decode.acc_seg": 88.88417, "decode.kl_loss": 0.06259, "loss": 0.10281, "time": 0.20127} +{"mode": "train", "epoch": 253, "iter": 159050, "lr": 0.0, "memory": 52540, "data_time": 0.05344, "decode.loss_ce": 0.03884, "decode.acc_seg": 89.06766, "decode.kl_loss": 0.05977, "loss": 0.09861, "time": 0.25298} +{"mode": "train", "epoch": 253, "iter": 159100, "lr": 0.0, "memory": 52540, "data_time": 0.00746, "decode.loss_ce": 0.04069, "decode.acc_seg": 88.61666, "decode.kl_loss": 0.06416, "loss": 0.10485, "time": 0.20156} +{"mode": "train", "epoch": 253, "iter": 159150, "lr": 0.0, "memory": 52540, "data_time": 0.00728, "decode.loss_ce": 0.04065, "decode.acc_seg": 88.63541, "decode.kl_loss": 0.06485, "loss": 0.1055, "time": 0.20883} +{"mode": "train", "epoch": 253, "iter": 159200, "lr": 0.0, "memory": 52540, "data_time": 0.00692, "decode.loss_ce": 0.04041, "decode.acc_seg": 88.77641, "decode.kl_loss": 0.06188, "loss": 0.10229, "time": 0.20214} +{"mode": "train", "epoch": 253, "iter": 159250, "lr": 0.0, "memory": 52540, "data_time": 0.00691, "decode.loss_ce": 0.04029, "decode.acc_seg": 88.87172, "decode.kl_loss": 0.06183, "loss": 0.10212, "time": 0.20035} +{"mode": "train", "epoch": 253, "iter": 159300, "lr": 0.0, "memory": 52540, "data_time": 0.00723, "decode.loss_ce": 0.04075, "decode.acc_seg": 88.84985, "decode.kl_loss": 0.06075, "loss": 0.1015, "time": 0.20338} +{"mode": "train", "epoch": 253, "iter": 159350, "lr": 0.0, "memory": 52540, "data_time": 0.00737, "decode.loss_ce": 0.0392, "decode.acc_seg": 89.10638, "decode.kl_loss": 0.06119, "loss": 0.10039, "time": 0.20255} +{"mode": "train", "epoch": 253, "iter": 159400, "lr": 0.0, "memory": 52540, "data_time": 0.0071, "decode.loss_ce": 0.04059, "decode.acc_seg": 88.76873, "decode.kl_loss": 0.06383, "loss": 0.10442, "time": 0.20233} +{"mode": "train", "epoch": 253, "iter": 159450, "lr": 0.0, "memory": 52540, "data_time": 0.00689, "decode.loss_ce": 0.04186, "decode.acc_seg": 88.43671, "decode.kl_loss": 0.06413, "loss": 0.10599, "time": 0.20147} +{"mode": "train", "epoch": 253, "iter": 159500, "lr": 0.0, "memory": 52540, "data_time": 0.00688, "decode.loss_ce": 0.04015, "decode.acc_seg": 88.65818, "decode.kl_loss": 0.06421, "loss": 0.10435, "time": 0.20098} +{"mode": "train", "epoch": 253, "iter": 159550, "lr": 0.0, "memory": 52540, "data_time": 0.00703, "decode.loss_ce": 0.03948, "decode.acc_seg": 88.86939, "decode.kl_loss": 0.06425, "loss": 0.10373, "time": 0.19813} +{"mode": "train", "epoch": 253, "iter": 159600, "lr": 0.0, "memory": 52540, "data_time": 0.0071, "decode.loss_ce": 0.0419, "decode.acc_seg": 88.43515, "decode.kl_loss": 0.06199, "loss": 0.10389, "time": 0.19905} +{"mode": "train", "epoch": 254, "iter": 159650, "lr": 0.0, "memory": 52540, "data_time": 0.05324, "decode.loss_ce": 0.0417, "decode.acc_seg": 88.51789, "decode.kl_loss": 0.06429, "loss": 0.106, "time": 0.25692} +{"mode": "train", "epoch": 254, "iter": 159700, "lr": 0.0, "memory": 52540, "data_time": 0.00726, "decode.loss_ce": 0.04256, "decode.acc_seg": 88.30149, "decode.kl_loss": 0.0645, "loss": 0.10706, "time": 0.20384} +{"mode": "train", "epoch": 254, "iter": 159750, "lr": 0.0, "memory": 52540, "data_time": 0.00707, "decode.loss_ce": 0.04168, "decode.acc_seg": 88.32791, "decode.kl_loss": 0.06555, "loss": 0.10722, "time": 0.19947} +{"mode": "train", "epoch": 254, "iter": 159800, "lr": 0.0, "memory": 52540, "data_time": 0.00696, "decode.loss_ce": 0.0411, "decode.acc_seg": 88.65975, "decode.kl_loss": 0.06432, "loss": 0.10542, "time": 0.20252} +{"mode": "train", "epoch": 254, "iter": 159850, "lr": 0.0, "memory": 52540, "data_time": 0.00701, "decode.loss_ce": 0.04028, "decode.acc_seg": 88.69556, "decode.kl_loss": 0.06349, "loss": 0.10377, "time": 0.20203} +{"mode": "train", "epoch": 254, "iter": 159900, "lr": 0.0, "memory": 52540, "data_time": 0.0069, "decode.loss_ce": 0.04142, "decode.acc_seg": 88.48897, "decode.kl_loss": 0.0629, "loss": 0.10432, "time": 0.20224} +{"mode": "train", "epoch": 254, "iter": 159950, "lr": 0.0, "memory": 52540, "data_time": 0.00717, "decode.loss_ce": 0.04093, "decode.acc_seg": 88.57987, "decode.kl_loss": 0.06479, "loss": 0.10572, "time": 0.20298} +{"mode": "train", "epoch": 254, "iter": 160000, "lr": 0.0, "memory": 52540, "data_time": 0.00704, "decode.loss_ce": 0.0415, "decode.acc_seg": 88.50646, "decode.kl_loss": 0.06363, "loss": 0.10513, "time": 0.22169} +{"mode": "val", "epoch": 254, "iter": 250, "lr": 0.0, "mIoU": [0.4322, 0.436, 0.4366, 0.4366, 0.4369, 0.4368, 0.4369, 0.4368, 0.437, 0.4371, 0.4368], "copy_paste": "43.22,43.6,43.66,43.66,43.69,43.68,43.69,43.68,43.7,43.71,43.68"} diff --git a/ablation/ablation_segformer_mit_b2_segformer_head_unet_fc_small_multi_step_ade_pretrained_freeze_embed_160k_ade20k151_finetune_ema_ce/ablation_segformer_mit_b2_segformer_head_unet_fc_small_multi_step_ade_pretrained_freeze_embed_160k_ade20k151_finetune_ema_ce.py b/ablation/ablation_segformer_mit_b2_segformer_head_unet_fc_small_multi_step_ade_pretrained_freeze_embed_160k_ade20k151_finetune_ema_ce/ablation_segformer_mit_b2_segformer_head_unet_fc_small_multi_step_ade_pretrained_freeze_embed_160k_ade20k151_finetune_ema_ce.py new file mode 100644 index 0000000000000000000000000000000000000000..b773fb7c0cbb01b426995bc14682e89aff738026 --- /dev/null +++ b/ablation/ablation_segformer_mit_b2_segformer_head_unet_fc_small_multi_step_ade_pretrained_freeze_embed_160k_ade20k151_finetune_ema_ce/ablation_segformer_mit_b2_segformer_head_unet_fc_small_multi_step_ade_pretrained_freeze_embed_160k_ade20k151_finetune_ema_ce.py @@ -0,0 +1,195 @@ +norm_cfg = dict(type='SyncBN', requires_grad=True) +checkpoint = 'work_dirs2/segformer_mit_b2_segformer_head_unet_fc_single_step_ade_pretrained_freeze_embed_80k_ade20k151/best_mIoU_iter_64000.pth' +model = dict( + type='EncoderDecoderDiffusion', + freeze_parameters=['backbone', 'decode_head'], + pretrained= + 'work_dirs2/segformer_mit_b2_segformer_head_unet_fc_single_step_ade_pretrained_freeze_embed_80k_ade20k151/best_mIoU_iter_64000.pth', + backbone=dict( + type='MixVisionTransformerCustomInitWeights', + in_channels=3, + embed_dims=64, + num_stages=4, + num_layers=[3, 4, 6, 3], + num_heads=[1, 2, 5, 8], + patch_sizes=[7, 3, 3, 3], + sr_ratios=[8, 4, 2, 1], + out_indices=(0, 1, 2, 3), + mlp_ratio=4, + qkv_bias=True, + drop_rate=0.0, + attn_drop_rate=0.0, + drop_path_rate=0.1), + decode_head=dict( + type='SegformerHeadUnetFCHeadMultiStepCE', + pretrained= + 'work_dirs2/segformer_mit_b2_segformer_head_unet_fc_single_step_ade_pretrained_freeze_embed_80k_ade20k151/best_mIoU_iter_64000.pth', + dim=128, + out_dim=256, + unet_channels=272, + dim_mults=[1, 1, 1], + cat_embedding_dim=16, + diffusion_timesteps=100, + collect_timesteps=[0, 10, 20, 30, 40, 50, 60, 70, 80, 90, 99], + in_channels=[64, 128, 320, 512], + in_index=[0, 1, 2, 3], + channels=256, + dropout_ratio=0.1, + num_classes=151, + norm_cfg=dict(type='SyncBN', requires_grad=True), + align_corners=False, + ignore_index=0, + loss_decode=dict( + type='CrossEntropyLoss', use_sigmoid=False, loss_weight=0.1)), + train_cfg=dict(), + test_cfg=dict(mode='whole')) +dataset_type = 'ADE20K151Dataset' +data_root = 'data/ade/ADEChallengeData2016' +img_norm_cfg = dict( + mean=[123.675, 116.28, 103.53], std=[58.395, 57.12, 57.375], to_rgb=True) +crop_size = (512, 512) +train_pipeline = [ + dict(type='LoadImageFromFile'), + dict(type='LoadAnnotations', reduce_zero_label=False), + dict(type='Resize', img_scale=(2048, 512), ratio_range=(0.5, 2.0)), + dict(type='RandomCrop', crop_size=(512, 512), cat_max_ratio=0.75), + dict(type='RandomFlip', prob=0.5), + dict(type='PhotoMetricDistortion'), + dict( + type='Normalize', + mean=[123.675, 116.28, 103.53], + std=[58.395, 57.12, 57.375], + to_rgb=True), + dict(type='Pad', size=(512, 512), pad_val=0, seg_pad_val=0), + dict(type='DefaultFormatBundle'), + dict(type='Collect', keys=['img', 'gt_semantic_seg']) +] +test_pipeline = [ + dict(type='LoadImageFromFile'), + dict( + type='MultiScaleFlipAug', + img_scale=(2048, 512), + flip=False, + transforms=[ + dict(type='Resize', keep_ratio=True), + dict(type='RandomFlip'), + dict( + type='Normalize', + mean=[123.675, 116.28, 103.53], + std=[58.395, 57.12, 57.375], + to_rgb=True), + dict(type='Pad', size_divisor=16, pad_val=0, seg_pad_val=0), + dict(type='ImageToTensor', keys=['img']), + dict(type='Collect', keys=['img']) + ]) +] +data = dict( + samples_per_gpu=4, + workers_per_gpu=4, + train=dict( + type='ADE20K151Dataset', + data_root='data/ade/ADEChallengeData2016', + img_dir='images/training', + ann_dir='annotations/training', + pipeline=[ + dict(type='LoadImageFromFile'), + dict(type='LoadAnnotations', reduce_zero_label=False), + dict(type='Resize', img_scale=(2048, 512), ratio_range=(0.5, 2.0)), + dict(type='RandomCrop', crop_size=(512, 512), cat_max_ratio=0.75), + dict(type='RandomFlip', prob=0.5), + dict(type='PhotoMetricDistortion'), + dict( + type='Normalize', + mean=[123.675, 116.28, 103.53], + std=[58.395, 57.12, 57.375], + to_rgb=True), + dict(type='Pad', size=(512, 512), pad_val=0, seg_pad_val=0), + dict(type='DefaultFormatBundle'), + dict(type='Collect', keys=['img', 'gt_semantic_seg']) + ]), + val=dict( + type='ADE20K151Dataset', + data_root='data/ade/ADEChallengeData2016', + img_dir='images/validation', + ann_dir='annotations/validation', + pipeline=[ + dict(type='LoadImageFromFile'), + dict( + type='MultiScaleFlipAug', + img_scale=(2048, 512), + flip=False, + transforms=[ + dict(type='Resize', keep_ratio=True), + dict(type='RandomFlip'), + dict( + type='Normalize', + mean=[123.675, 116.28, 103.53], + std=[58.395, 57.12, 57.375], + to_rgb=True), + dict( + type='Pad', size_divisor=16, pad_val=0, seg_pad_val=0), + dict(type='ImageToTensor', keys=['img']), + dict(type='Collect', keys=['img']) + ]) + ]), + test=dict( + type='ADE20K151Dataset', + data_root='data/ade/ADEChallengeData2016', + img_dir='images/validation', + ann_dir='annotations/validation', + pipeline=[ + dict(type='LoadImageFromFile'), + dict( + type='MultiScaleFlipAug', + img_scale=(2048, 512), + flip=False, + transforms=[ + dict(type='Resize', keep_ratio=True), + dict(type='RandomFlip'), + dict( + type='Normalize', + mean=[123.675, 116.28, 103.53], + std=[58.395, 57.12, 57.375], + to_rgb=True), + dict( + type='Pad', size_divisor=16, pad_val=0, seg_pad_val=0), + dict(type='ImageToTensor', keys=['img']), + dict(type='Collect', keys=['img']) + ]) + ])) +log_config = dict( + interval=50, hooks=[dict(type='TextLoggerHook', by_epoch=False)]) +dist_params = dict(backend='nccl') +log_level = 'INFO' +load_from = None +resume_from = None +workflow = [('train', 1)] +cudnn_benchmark = True +optimizer = dict( + type='AdamW', lr=0.00015, betas=[0.9, 0.96], weight_decay=0.045) +optimizer_config = dict() +lr_config = dict( + policy='step', + warmup='linear', + 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01:09:05,432 - mmseg - INFO - Environment info: +------------------------------------------------------------ +sys.platform: linux +Python: 3.7.16 (default, Jan 17 2023, 22:20:44) [GCC 11.2.0] +CUDA available: True +GPU 0,1,2,3,4,5,6,7: NVIDIA A100-SXM4-80GB +CUDA_HOME: /mnt/petrelfs/laizeqiang/miniconda3/envs/torch +NVCC: Cuda compilation tools, release 11.6, V11.6.124 +GCC: gcc (GCC) 4.8.5 20150623 (Red Hat 4.8.5-44) +PyTorch: 1.13.1 +PyTorch compiling details: PyTorch built with: + - GCC 9.3 + - C++ Version: 201402 + - Intel(R) oneAPI Math Kernel Library Version 2021.4-Product Build 20210904 for Intel(R) 64 architecture applications + - Intel(R) MKL-DNN v2.6.0 (Git Hash 52b5f107dd9cf10910aaa19cb47f3abf9b349815) + - OpenMP 201511 (a.k.a. OpenMP 4.5) + - LAPACK is enabled (usually provided by MKL) + - NNPACK is enabled + - CPU capability usage: AVX2 + - CUDA Runtime 11.6 + - NVCC architecture flags: -gencode;arch=compute_37,code=sm_37;-gencode;arch=compute_50,code=sm_50;-gencode;arch=compute_60,code=sm_60;-gencode;arch=compute_61,code=sm_61;-gencode;arch=compute_70,code=sm_70;-gencode;arch=compute_75,code=sm_75;-gencode;arch=compute_80,code=sm_80;-gencode;arch=compute_86,code=sm_86;-gencode;arch=compute_37,code=compute_37 + - CuDNN 8.3.2 (built against CUDA 11.5) + - Magma 2.6.1 + - Build settings: BLAS_INFO=mkl, BUILD_TYPE=Release, CUDA_VERSION=11.6, CUDNN_VERSION=8.3.2, CXX_COMPILER=/opt/rh/devtoolset-9/root/usr/bin/c++, CXX_FLAGS= -fabi-version=11 -Wno-deprecated -fvisibility-inlines-hidden -DUSE_PTHREADPOOL -fopenmp -DNDEBUG -DUSE_KINETO -DUSE_FBGEMM -DUSE_QNNPACK -DUSE_PYTORCH_QNNPACK -DUSE_XNNPACK -DSYMBOLICATE_MOBILE_DEBUG_HANDLE -DEDGE_PROFILER_USE_KINETO -O2 -fPIC -Wno-narrowing -Wall -Wextra -Werror=return-type -Werror=non-virtual-dtor -Wno-missing-field-initializers -Wno-type-limits -Wno-array-bounds -Wno-unknown-pragmas -Wunused-local-typedefs -Wno-unused-parameter -Wno-unused-function -Wno-unused-result -Wno-strict-overflow -Wno-strict-aliasing -Wno-error=deprecated-declarations -Wno-stringop-overflow -Wno-psabi -Wno-error=pedantic -Wno-error=redundant-decls -Wno-error=old-style-cast -fdiagnostics-color=always -faligned-new -Wno-unused-but-set-variable -Wno-maybe-uninitialized -fno-math-errno -fno-trapping-math -Werror=format -Werror=cast-function-type -Wno-stringop-overflow, LAPACK_INFO=mkl, PERF_WITH_AVX=1, PERF_WITH_AVX2=1, PERF_WITH_AVX512=1, TORCH_VERSION=1.13.1, USE_CUDA=ON, USE_CUDNN=ON, USE_EXCEPTION_PTR=1, USE_GFLAGS=OFF, USE_GLOG=OFF, USE_MKL=ON, USE_MKLDNN=ON, USE_MPI=OFF, USE_NCCL=ON, USE_NNPACK=ON, USE_OPENMP=ON, USE_ROCM=OFF, + +TorchVision: 0.14.1 +OpenCV: 4.7.0 +MMCV: 1.7.1 +MMCV Compiler: GCC 9.3 +MMCV CUDA Compiler: 11.6 +MMSegmentation: 0.30.0+ab851eb +------------------------------------------------------------ + +2023-03-04 01:09:05,433 - mmseg - INFO - Distributed training: True +2023-03-04 01:09:06,112 - mmseg - INFO - Config: +norm_cfg = dict(type='SyncBN', requires_grad=True) +checkpoint = 'work_dirs2/segformer_mit_b2_segformer_head_unet_fc_single_step_ade_pretrained_freeze_embed_80k_ade20k151/best_mIoU_iter_64000.pth' +model = dict( + type='EncoderDecoderDiffusion', + freeze_parameters=['backbone', 'decode_head'], + pretrained= + 'work_dirs2/segformer_mit_b2_segformer_head_unet_fc_single_step_ade_pretrained_freeze_embed_80k_ade20k151/best_mIoU_iter_64000.pth', + backbone=dict( + type='MixVisionTransformerCustomInitWeights', + in_channels=3, + embed_dims=64, + num_stages=4, + num_layers=[3, 4, 6, 3], + num_heads=[1, 2, 5, 8], + patch_sizes=[7, 3, 3, 3], + sr_ratios=[8, 4, 2, 1], + out_indices=(0, 1, 2, 3), + mlp_ratio=4, + qkv_bias=True, + drop_rate=0.0, + attn_drop_rate=0.0, + drop_path_rate=0.1), + decode_head=dict( + type='SegformerHeadUnetFCHeadMultiStep', + pretrained= + 'work_dirs2/segformer_mit_b2_segformer_head_unet_fc_single_step_ade_pretrained_freeze_embed_80k_ade20k151/best_mIoU_iter_64000.pth', + dim=128, + out_dim=256, + unet_channels=272, + dim_mults=[1, 1, 1], + cat_embedding_dim=16, + diffusion_timesteps=100, + collect_timesteps=[0, 10, 20, 30, 40, 50, 60, 70, 80, 90, 99], + alpha_schedule='cos', + in_channels=[64, 128, 320, 512], + in_index=[0, 1, 2, 3], + channels=256, + dropout_ratio=0.1, + num_classes=151, + norm_cfg=dict(type='SyncBN', requires_grad=True), + align_corners=False, + ignore_index=0, + loss_decode=dict( + type='CrossEntropyLoss', use_sigmoid=False, loss_weight=1.0)), + train_cfg=dict(), + test_cfg=dict(mode='whole')) +dataset_type = 'ADE20K151Dataset' +data_root = 'data/ade/ADEChallengeData2016' +img_norm_cfg = dict( + mean=[123.675, 116.28, 103.53], std=[58.395, 57.12, 57.375], to_rgb=True) +crop_size = (512, 512) +train_pipeline = [ + dict(type='LoadImageFromFile'), + dict(type='LoadAnnotations', reduce_zero_label=False), + dict(type='Resize', img_scale=(2048, 512), ratio_range=(0.5, 2.0)), + dict(type='RandomCrop', crop_size=(512, 512), cat_max_ratio=0.75), + dict(type='RandomFlip', prob=0.5), + dict(type='PhotoMetricDistortion'), + dict( + type='Normalize', + mean=[123.675, 116.28, 103.53], + std=[58.395, 57.12, 57.375], + to_rgb=True), + dict(type='Pad', size=(512, 512), pad_val=0, seg_pad_val=0), + dict(type='DefaultFormatBundle'), + dict(type='Collect', keys=['img', 'gt_semantic_seg']) +] +test_pipeline = [ + dict(type='LoadImageFromFile'), + dict( + type='MultiScaleFlipAug', + img_scale=(2048, 512), + flip=False, + transforms=[ + dict(type='Resize', keep_ratio=True), + dict(type='RandomFlip'), + dict( + type='Normalize', + mean=[123.675, 116.28, 103.53], + std=[58.395, 57.12, 57.375], + to_rgb=True), + dict(type='Pad', size_divisor=16, pad_val=0, seg_pad_val=0), + dict(type='ImageToTensor', keys=['img']), + dict(type='Collect', keys=['img']) + ]) +] +data = dict( + samples_per_gpu=4, + workers_per_gpu=4, + train=dict( + type='ADE20K151Dataset', + data_root='data/ade/ADEChallengeData2016', + img_dir='images/training', + ann_dir='annotations/training', + pipeline=[ + dict(type='LoadImageFromFile'), + dict(type='LoadAnnotations', reduce_zero_label=False), + dict(type='Resize', img_scale=(2048, 512), ratio_range=(0.5, 2.0)), + dict(type='RandomCrop', crop_size=(512, 512), cat_max_ratio=0.75), + dict(type='RandomFlip', prob=0.5), + dict(type='PhotoMetricDistortion'), + dict( + type='Normalize', + mean=[123.675, 116.28, 103.53], + std=[58.395, 57.12, 57.375], + to_rgb=True), + dict(type='Pad', size=(512, 512), pad_val=0, seg_pad_val=0), + dict(type='DefaultFormatBundle'), + dict(type='Collect', keys=['img', 'gt_semantic_seg']) + ]), + val=dict( + type='ADE20K151Dataset', + data_root='data/ade/ADEChallengeData2016', + img_dir='images/validation', + ann_dir='annotations/validation', + pipeline=[ + dict(type='LoadImageFromFile'), + dict( + type='MultiScaleFlipAug', + img_scale=(2048, 512), + flip=False, + transforms=[ + dict(type='Resize', keep_ratio=True), + dict(type='RandomFlip'), + dict( + type='Normalize', + mean=[123.675, 116.28, 103.53], + std=[58.395, 57.12, 57.375], + to_rgb=True), + dict( + type='Pad', size_divisor=16, pad_val=0, seg_pad_val=0), + dict(type='ImageToTensor', keys=['img']), + dict(type='Collect', keys=['img']) + ]) + ]), + test=dict( + type='ADE20K151Dataset', + data_root='data/ade/ADEChallengeData2016', + img_dir='images/validation', + ann_dir='annotations/validation', + pipeline=[ + dict(type='LoadImageFromFile'), + dict( + type='MultiScaleFlipAug', + img_scale=(2048, 512), + flip=False, + transforms=[ + dict(type='Resize', keep_ratio=True), + dict(type='RandomFlip'), + dict( + type='Normalize', + mean=[123.675, 116.28, 103.53], + std=[58.395, 57.12, 57.375], + to_rgb=True), + dict( + type='Pad', size_divisor=16, pad_val=0, seg_pad_val=0), + dict(type='ImageToTensor', keys=['img']), + dict(type='Collect', keys=['img']) + ]) + ])) +log_config = dict( + interval=50, hooks=[dict(type='TextLoggerHook', by_epoch=False)]) +dist_params = dict(backend='nccl') +log_level = 'INFO' +load_from = None +resume_from = None +workflow = [('train', 1)] +cudnn_benchmark = True +optimizer = dict( + type='AdamW', lr=0.00015, betas=[0.9, 0.96], weight_decay=0.045) +optimizer_config = dict() +lr_config = dict( + policy='step', + warmup='linear', + warmup_iters=1000, + warmup_ratio=1e-06, + step=20000, + gamma=0.5, + min_lr=1e-06, + by_epoch=False) +runner = dict(type='IterBasedRunner', max_iters=160000) +checkpoint_config = dict(by_epoch=False, interval=16000, max_keep_ckpts=1) +evaluation = dict( + interval=16000, metric='mIoU', pre_eval=True, save_best='mIoU') +custom_hooks = [ + dict( + type='ConstantMomentumEMAHook', + momentum=0.01, + interval=25, + eval_interval=16000, + auto_resume=True, + priority=49) +] +work_dir = './work_dirs2/ablation_segformer_mit_b2_segformer_head_unet_fc_small_multi_step_ade_pretrained_freeze_embed_160k_ade20k151_finetune_ema_cos' +gpu_ids = range(0, 8) +auto_resume = True + +2023-03-04 01:09:10,441 - mmseg - INFO - Set random seed to 1758355026, deterministic: False +2023-03-04 01:09:10,704 - mmseg - INFO - Parameters in backbone freezed! +2023-03-04 01:09:10,705 - mmseg - INFO - Trainable parameters in SegformerHeadUnetFCHeadMultiStep: ['unet.init_conv.weight', 'unet.init_conv.bias', 'unet.time_mlp.1.weight', 'unet.time_mlp.1.bias', 'unet.time_mlp.3.weight', 'unet.time_mlp.3.bias', 'unet.downs.0.0.mlp.1.weight', 'unet.downs.0.0.mlp.1.bias', 'unet.downs.0.0.block1.proj.weight', 'unet.downs.0.0.block1.proj.bias', 'unet.downs.0.0.block1.norm.weight', 'unet.downs.0.0.block1.norm.bias', 'unet.downs.0.0.block2.proj.weight', 'unet.downs.0.0.block2.proj.bias', 'unet.downs.0.0.block2.norm.weight', 'unet.downs.0.0.block2.norm.bias', 'unet.downs.0.1.mlp.1.weight', 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checkpoint from local path: work_dirs2/segformer_mit_b2_segformer_head_unet_fc_single_step_ade_pretrained_freeze_embed_80k_ade20k151/best_mIoU_iter_64000.pth +2023-03-04 01:09:11,581 - mmseg - WARNING - The model and loaded state dict do not match exactly + +unexpected key in source state_dict: decode_head.convs.0.conv.weight, decode_head.convs.0.bn.weight, decode_head.convs.0.bn.bias, decode_head.convs.0.bn.running_mean, decode_head.convs.0.bn.running_var, decode_head.convs.0.bn.num_batches_tracked, decode_head.convs.1.conv.weight, decode_head.convs.1.bn.weight, decode_head.convs.1.bn.bias, decode_head.convs.1.bn.running_mean, decode_head.convs.1.bn.running_var, decode_head.convs.1.bn.num_batches_tracked, decode_head.convs.2.conv.weight, decode_head.convs.2.bn.weight, decode_head.convs.2.bn.bias, decode_head.convs.2.bn.running_mean, decode_head.convs.2.bn.running_var, decode_head.convs.2.bn.num_batches_tracked, decode_head.convs.3.conv.weight, decode_head.convs.3.bn.weight, 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decode_head.unet.final_conv.bias, decode_head.conv_seg_new.weight, decode_head.conv_seg_new.bias, decode_head.embed.weight + +2023-03-04 01:09:11,598 - mmseg - INFO - load checkpoint from local path: work_dirs2/segformer_mit_b2_segformer_head_unet_fc_single_step_ade_pretrained_freeze_embed_80k_ade20k151/best_mIoU_iter_64000.pth +2023-03-04 01:09:11,976 - mmseg - WARNING - The model and loaded state dict do not match exactly + +unexpected key in source state_dict: backbone.layers.0.0.projection.weight, backbone.layers.0.0.projection.bias, backbone.layers.0.0.norm.weight, backbone.layers.0.0.norm.bias, backbone.layers.0.1.0.norm1.weight, backbone.layers.0.1.0.norm1.bias, backbone.layers.0.1.0.attn.attn.in_proj_weight, backbone.layers.0.1.0.attn.attn.in_proj_bias, backbone.layers.0.1.0.attn.attn.out_proj.weight, backbone.layers.0.1.0.attn.attn.out_proj.bias, backbone.layers.0.1.0.attn.sr.weight, backbone.layers.0.1.0.attn.sr.bias, backbone.layers.0.1.0.attn.norm.weight, 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MixVisionTransformerCustomInitWeights( + (layers): ModuleList( + (0): ModuleList( + (0): PatchEmbed( + (projection): Conv2d(3, 64, kernel_size=(7, 7), stride=(4, 4), padding=(3, 3)) + (norm): LayerNorm((64,), eps=1e-06, elementwise_affine=True) + ) + (1): ModuleList( + (0): TransformerEncoderLayer( + (norm1): LayerNorm((64,), eps=1e-06, elementwise_affine=True) + (attn): EfficientMultiheadAttention( + (attn): MultiheadAttention( + (out_proj): NonDynamicallyQuantizableLinear(in_features=64, out_features=64, bias=True) + ) + (proj_drop): Dropout(p=0.0, inplace=False) + (dropout_layer): DropPath() + (sr): Conv2d(64, 64, kernel_size=(8, 8), stride=(8, 8)) + (norm): LayerNorm((64,), eps=1e-06, elementwise_affine=True) + ) + (norm2): LayerNorm((64,), eps=1e-06, elementwise_affine=True) + (ffn): MixFFN( + (activate): GELU(approximate='none') + (layers): Sequential( + (0): Conv2d(64, 256, kernel_size=(1, 1), stride=(1, 1)) + (1): Conv2d(256, 256, kernel_size=(3, 3), stride=(1, 1), padding=(1, 1), groups=256) + (2): GELU(approximate='none') + (3): Dropout(p=0.0, inplace=False) + (4): Conv2d(256, 64, kernel_size=(1, 1), stride=(1, 1)) + (5): Dropout(p=0.0, inplace=False) + ) + (dropout_layer): DropPath() + ) + ) + (1): TransformerEncoderLayer( + (norm1): LayerNorm((64,), eps=1e-06, elementwise_affine=True) + (attn): EfficientMultiheadAttention( + (attn): MultiheadAttention( + (out_proj): NonDynamicallyQuantizableLinear(in_features=64, out_features=64, bias=True) + ) + (proj_drop): Dropout(p=0.0, inplace=False) + (dropout_layer): DropPath() + (sr): Conv2d(64, 64, kernel_size=(8, 8), stride=(8, 8)) + (norm): LayerNorm((64,), eps=1e-06, elementwise_affine=True) + ) + (norm2): LayerNorm((64,), eps=1e-06, elementwise_affine=True) + (ffn): MixFFN( + (activate): GELU(approximate='none') + (layers): Sequential( + (0): Conv2d(64, 256, kernel_size=(1, 1), stride=(1, 1)) + (1): Conv2d(256, 256, kernel_size=(3, 3), stride=(1, 1), padding=(1, 1), groups=256) + (2): GELU(approximate='none') + (3): Dropout(p=0.0, inplace=False) + (4): Conv2d(256, 64, kernel_size=(1, 1), stride=(1, 1)) + (5): Dropout(p=0.0, inplace=False) + ) + (dropout_layer): DropPath() + ) + ) + (2): TransformerEncoderLayer( + (norm1): LayerNorm((64,), eps=1e-06, elementwise_affine=True) + (attn): EfficientMultiheadAttention( + (attn): MultiheadAttention( + (out_proj): NonDynamicallyQuantizableLinear(in_features=64, out_features=64, bias=True) + ) + (proj_drop): Dropout(p=0.0, inplace=False) + (dropout_layer): DropPath() + (sr): Conv2d(64, 64, kernel_size=(8, 8), stride=(8, 8)) + (norm): LayerNorm((64,), eps=1e-06, elementwise_affine=True) + ) + (norm2): LayerNorm((64,), eps=1e-06, elementwise_affine=True) + (ffn): MixFFN( + (activate): GELU(approximate='none') + (layers): Sequential( + (0): Conv2d(64, 256, kernel_size=(1, 1), stride=(1, 1)) + (1): Conv2d(256, 256, kernel_size=(3, 3), stride=(1, 1), padding=(1, 1), groups=256) + (2): GELU(approximate='none') + (3): Dropout(p=0.0, inplace=False) + (4): Conv2d(256, 64, kernel_size=(1, 1), stride=(1, 1)) + (5): Dropout(p=0.0, inplace=False) + ) + (dropout_layer): DropPath() + ) + ) + ) + (2): LayerNorm((64,), eps=1e-06, elementwise_affine=True) + ) + (1): ModuleList( + (0): PatchEmbed( + (projection): Conv2d(64, 128, kernel_size=(3, 3), stride=(2, 2), padding=(1, 1)) + (norm): LayerNorm((128,), eps=1e-06, elementwise_affine=True) + ) + (1): ModuleList( + (0): TransformerEncoderLayer( + (norm1): LayerNorm((128,), eps=1e-06, elementwise_affine=True) + (attn): EfficientMultiheadAttention( + (attn): MultiheadAttention( + (out_proj): NonDynamicallyQuantizableLinear(in_features=128, out_features=128, bias=True) + ) + (proj_drop): Dropout(p=0.0, inplace=False) + (dropout_layer): DropPath() + (sr): Conv2d(128, 128, kernel_size=(4, 4), stride=(4, 4)) + (norm): LayerNorm((128,), eps=1e-06, elementwise_affine=True) + ) + (norm2): LayerNorm((128,), eps=1e-06, elementwise_affine=True) + (ffn): MixFFN( + (activate): 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Sequential( + (0): Conv2d(128, 512, kernel_size=(1, 1), stride=(1, 1)) + (1): Conv2d(512, 512, kernel_size=(3, 3), stride=(1, 1), padding=(1, 1), groups=512) + (2): GELU(approximate='none') + (3): Dropout(p=0.0, inplace=False) + (4): Conv2d(512, 128, kernel_size=(1, 1), stride=(1, 1)) + (5): Dropout(p=0.0, inplace=False) + ) + (dropout_layer): DropPath() + ) + ) + (2): TransformerEncoderLayer( + (norm1): LayerNorm((128,), eps=1e-06, elementwise_affine=True) + (attn): EfficientMultiheadAttention( + (attn): MultiheadAttention( + (out_proj): NonDynamicallyQuantizableLinear(in_features=128, out_features=128, bias=True) + ) + (proj_drop): Dropout(p=0.0, inplace=False) + (dropout_layer): DropPath() + (sr): Conv2d(128, 128, kernel_size=(4, 4), stride=(4, 4)) + (norm): LayerNorm((128,), eps=1e-06, elementwise_affine=True) + ) + (norm2): LayerNorm((128,), eps=1e-06, elementwise_affine=True) + (ffn): MixFFN( + (activate): GELU(approximate='none') + (layers): Sequential( + (0): Conv2d(128, 512, kernel_size=(1, 1), stride=(1, 1)) + (1): Conv2d(512, 512, kernel_size=(3, 3), stride=(1, 1), padding=(1, 1), groups=512) + (2): GELU(approximate='none') + (3): Dropout(p=0.0, inplace=False) + (4): Conv2d(512, 128, kernel_size=(1, 1), stride=(1, 1)) + (5): Dropout(p=0.0, inplace=False) + ) + (dropout_layer): DropPath() + ) + ) + (3): TransformerEncoderLayer( + (norm1): LayerNorm((128,), eps=1e-06, elementwise_affine=True) + (attn): EfficientMultiheadAttention( + (attn): MultiheadAttention( + (out_proj): NonDynamicallyQuantizableLinear(in_features=128, out_features=128, bias=True) + ) + (proj_drop): Dropout(p=0.0, inplace=False) + (dropout_layer): DropPath() + (sr): Conv2d(128, 128, kernel_size=(4, 4), stride=(4, 4)) + (norm): LayerNorm((128,), eps=1e-06, elementwise_affine=True) + ) + (norm2): LayerNorm((128,), eps=1e-06, elementwise_affine=True) + (ffn): MixFFN( + (activate): GELU(approximate='none') + (layers): Sequential( + (0): Conv2d(128, 512, kernel_size=(1, 1), stride=(1, 1)) + (1): Conv2d(512, 512, kernel_size=(3, 3), stride=(1, 1), padding=(1, 1), groups=512) + (2): GELU(approximate='none') + (3): Dropout(p=0.0, inplace=False) + (4): Conv2d(512, 128, kernel_size=(1, 1), stride=(1, 1)) + (5): Dropout(p=0.0, inplace=False) + ) + (dropout_layer): DropPath() + ) + ) + ) + (2): LayerNorm((128,), eps=1e-06, elementwise_affine=True) + ) + (2): ModuleList( + (0): PatchEmbed( + (projection): Conv2d(128, 320, kernel_size=(3, 3), stride=(2, 2), padding=(1, 1)) + (norm): LayerNorm((320,), eps=1e-06, elementwise_affine=True) + ) + (1): ModuleList( + (0): TransformerEncoderLayer( + (norm1): LayerNorm((320,), eps=1e-06, elementwise_affine=True) + (attn): EfficientMultiheadAttention( + (attn): MultiheadAttention( + (out_proj): NonDynamicallyQuantizableLinear(in_features=320, out_features=320, bias=True) + ) + (proj_drop): Dropout(p=0.0, inplace=False) + (dropout_layer): DropPath() + (sr): Conv2d(320, 320, kernel_size=(2, 2), stride=(2, 2)) + (norm): LayerNorm((320,), eps=1e-06, elementwise_affine=True) + ) + (norm2): LayerNorm((320,), eps=1e-06, elementwise_affine=True) + (ffn): MixFFN( + (activate): GELU(approximate='none') + (layers): Sequential( + (0): Conv2d(320, 1280, kernel_size=(1, 1), stride=(1, 1)) + (1): Conv2d(1280, 1280, kernel_size=(3, 3), stride=(1, 1), padding=(1, 1), groups=1280) + (2): GELU(approximate='none') + (3): Dropout(p=0.0, inplace=False) + (4): Conv2d(1280, 320, kernel_size=(1, 1), stride=(1, 1)) + (5): Dropout(p=0.0, inplace=False) + ) + (dropout_layer): DropPath() + ) + ) + (1): TransformerEncoderLayer( + (norm1): LayerNorm((320,), eps=1e-06, elementwise_affine=True) + (attn): EfficientMultiheadAttention( + (attn): MultiheadAttention( + (out_proj): NonDynamicallyQuantizableLinear(in_features=320, out_features=320, bias=True) + ) + (proj_drop): Dropout(p=0.0, inplace=False) + (dropout_layer): DropPath() + (sr): Conv2d(320, 320, kernel_size=(2, 2), stride=(2, 2)) + (norm): LayerNorm((320,), eps=1e-06, elementwise_affine=True) + ) + (norm2): LayerNorm((320,), eps=1e-06, elementwise_affine=True) + (ffn): MixFFN( + (activate): GELU(approximate='none') + (layers): Sequential( + (0): Conv2d(320, 1280, kernel_size=(1, 1), stride=(1, 1)) + (1): Conv2d(1280, 1280, kernel_size=(3, 3), stride=(1, 1), padding=(1, 1), groups=1280) + (2): GELU(approximate='none') + (3): Dropout(p=0.0, inplace=False) + (4): Conv2d(1280, 320, kernel_size=(1, 1), stride=(1, 1)) + (5): Dropout(p=0.0, inplace=False) + ) + (dropout_layer): DropPath() + ) + ) + (2): TransformerEncoderLayer( + (norm1): LayerNorm((320,), eps=1e-06, elementwise_affine=True) + (attn): EfficientMultiheadAttention( + (attn): MultiheadAttention( + (out_proj): NonDynamicallyQuantizableLinear(in_features=320, out_features=320, bias=True) + ) + (proj_drop): Dropout(p=0.0, inplace=False) + (dropout_layer): DropPath() + (sr): Conv2d(320, 320, kernel_size=(2, 2), stride=(2, 2)) + (norm): LayerNorm((320,), eps=1e-06, elementwise_affine=True) + ) + (norm2): LayerNorm((320,), eps=1e-06, elementwise_affine=True) + (ffn): MixFFN( + (activate): GELU(approximate='none') + (layers): Sequential( + (0): Conv2d(320, 1280, kernel_size=(1, 1), stride=(1, 1)) + (1): Conv2d(1280, 1280, kernel_size=(3, 3), stride=(1, 1), padding=(1, 1), groups=1280) + (2): GELU(approximate='none') + (3): Dropout(p=0.0, inplace=False) + (4): Conv2d(1280, 320, kernel_size=(1, 1), stride=(1, 1)) + (5): Dropout(p=0.0, inplace=False) + ) + (dropout_layer): DropPath() + ) + ) + (3): TransformerEncoderLayer( + (norm1): LayerNorm((320,), eps=1e-06, elementwise_affine=True) + (attn): EfficientMultiheadAttention( + (attn): MultiheadAttention( + (out_proj): NonDynamicallyQuantizableLinear(in_features=320, out_features=320, bias=True) + ) + (proj_drop): Dropout(p=0.0, inplace=False) + (dropout_layer): DropPath() + (sr): Conv2d(320, 320, kernel_size=(2, 2), stride=(2, 2)) + (norm): LayerNorm((320,), eps=1e-06, elementwise_affine=True) + ) + (norm2): LayerNorm((320,), eps=1e-06, elementwise_affine=True) + (ffn): MixFFN( + (activate): GELU(approximate='none') + (layers): Sequential( + (0): Conv2d(320, 1280, kernel_size=(1, 1), stride=(1, 1)) + (1): Conv2d(1280, 1280, kernel_size=(3, 3), stride=(1, 1), padding=(1, 1), groups=1280) + (2): GELU(approximate='none') + (3): Dropout(p=0.0, inplace=False) + (4): Conv2d(1280, 320, kernel_size=(1, 1), stride=(1, 1)) + (5): Dropout(p=0.0, inplace=False) + ) + (dropout_layer): DropPath() + ) + ) + (4): TransformerEncoderLayer( + (norm1): LayerNorm((320,), eps=1e-06, elementwise_affine=True) + (attn): EfficientMultiheadAttention( + (attn): MultiheadAttention( + (out_proj): NonDynamicallyQuantizableLinear(in_features=320, out_features=320, bias=True) + ) + (proj_drop): Dropout(p=0.0, inplace=False) + (dropout_layer): DropPath() + (sr): Conv2d(320, 320, kernel_size=(2, 2), stride=(2, 2)) + (norm): LayerNorm((320,), eps=1e-06, elementwise_affine=True) + ) + (norm2): LayerNorm((320,), eps=1e-06, elementwise_affine=True) + (ffn): MixFFN( + (activate): GELU(approximate='none') + (layers): Sequential( + (0): Conv2d(320, 1280, kernel_size=(1, 1), stride=(1, 1)) + (1): Conv2d(1280, 1280, kernel_size=(3, 3), stride=(1, 1), padding=(1, 1), groups=1280) + (2): GELU(approximate='none') + (3): Dropout(p=0.0, inplace=False) + (4): Conv2d(1280, 320, kernel_size=(1, 1), stride=(1, 1)) + (5): Dropout(p=0.0, inplace=False) + ) + (dropout_layer): DropPath() + ) + ) + (5): TransformerEncoderLayer( + (norm1): LayerNorm((320,), eps=1e-06, elementwise_affine=True) + (attn): EfficientMultiheadAttention( + (attn): MultiheadAttention( + (out_proj): NonDynamicallyQuantizableLinear(in_features=320, out_features=320, bias=True) + ) + (proj_drop): Dropout(p=0.0, inplace=False) + (dropout_layer): DropPath() + (sr): Conv2d(320, 320, kernel_size=(2, 2), stride=(2, 2)) + (norm): LayerNorm((320,), eps=1e-06, elementwise_affine=True) + ) + (norm2): LayerNorm((320,), eps=1e-06, elementwise_affine=True) + (ffn): MixFFN( + (activate): GELU(approximate='none') + (layers): Sequential( + (0): Conv2d(320, 1280, kernel_size=(1, 1), stride=(1, 1)) + (1): Conv2d(1280, 1280, kernel_size=(3, 3), stride=(1, 1), padding=(1, 1), groups=1280) + (2): GELU(approximate='none') + (3): Dropout(p=0.0, inplace=False) + (4): Conv2d(1280, 320, kernel_size=(1, 1), stride=(1, 1)) + (5): Dropout(p=0.0, inplace=False) + ) + (dropout_layer): DropPath() + ) + ) + ) + (2): LayerNorm((320,), eps=1e-06, elementwise_affine=True) + ) + (3): ModuleList( + (0): PatchEmbed( + (projection): Conv2d(320, 512, kernel_size=(3, 3), stride=(2, 2), padding=(1, 1)) + (norm): LayerNorm((512,), eps=1e-06, elementwise_affine=True) + ) + (1): ModuleList( + (0): TransformerEncoderLayer( + (norm1): LayerNorm((512,), eps=1e-06, elementwise_affine=True) + (attn): EfficientMultiheadAttention( + (attn): MultiheadAttention( + (out_proj): NonDynamicallyQuantizableLinear(in_features=512, out_features=512, bias=True) + ) + (proj_drop): Dropout(p=0.0, inplace=False) + (dropout_layer): DropPath() + ) + (norm2): LayerNorm((512,), eps=1e-06, elementwise_affine=True) + (ffn): MixFFN( + (activate): GELU(approximate='none') + (layers): Sequential( + (0): Conv2d(512, 2048, kernel_size=(1, 1), stride=(1, 1)) + (1): Conv2d(2048, 2048, kernel_size=(3, 3), stride=(1, 1), padding=(1, 1), groups=2048) + (2): GELU(approximate='none') + (3): Dropout(p=0.0, inplace=False) + (4): Conv2d(2048, 512, kernel_size=(1, 1), stride=(1, 1)) + (5): Dropout(p=0.0, inplace=False) + ) + (dropout_layer): DropPath() + ) + ) + (1): TransformerEncoderLayer( + (norm1): LayerNorm((512,), eps=1e-06, elementwise_affine=True) + (attn): EfficientMultiheadAttention( + (attn): MultiheadAttention( + (out_proj): NonDynamicallyQuantizableLinear(in_features=512, out_features=512, bias=True) + ) + (proj_drop): Dropout(p=0.0, inplace=False) + (dropout_layer): DropPath() + ) + (norm2): LayerNorm((512,), eps=1e-06, elementwise_affine=True) + (ffn): MixFFN( + (activate): GELU(approximate='none') + (layers): Sequential( + (0): Conv2d(512, 2048, kernel_size=(1, 1), stride=(1, 1)) + (1): Conv2d(2048, 2048, kernel_size=(3, 3), stride=(1, 1), padding=(1, 1), groups=2048) + (2): GELU(approximate='none') + (3): Dropout(p=0.0, inplace=False) + (4): Conv2d(2048, 512, kernel_size=(1, 1), stride=(1, 1)) + (5): Dropout(p=0.0, inplace=False) + ) + (dropout_layer): DropPath() + ) + ) + (2): TransformerEncoderLayer( + (norm1): LayerNorm((512,), eps=1e-06, elementwise_affine=True) + (attn): EfficientMultiheadAttention( + (attn): MultiheadAttention( + (out_proj): NonDynamicallyQuantizableLinear(in_features=512, out_features=512, bias=True) + ) + (proj_drop): Dropout(p=0.0, inplace=False) + (dropout_layer): DropPath() + ) + (norm2): LayerNorm((512,), eps=1e-06, elementwise_affine=True) + (ffn): MixFFN( + (activate): GELU(approximate='none') + (layers): Sequential( + (0): Conv2d(512, 2048, kernel_size=(1, 1), stride=(1, 1)) + (1): Conv2d(2048, 2048, kernel_size=(3, 3), stride=(1, 1), padding=(1, 1), groups=2048) + (2): GELU(approximate='none') + (3): Dropout(p=0.0, inplace=False) + (4): Conv2d(2048, 512, kernel_size=(1, 1), stride=(1, 1)) + (5): Dropout(p=0.0, inplace=False) + ) + (dropout_layer): DropPath() + ) + ) + ) + (2): LayerNorm((512,), eps=1e-06, elementwise_affine=True) + ) + ) + ) + init_cfg={'type': 'Pretrained', 'checkpoint': 'work_dirs2/segformer_mit_b2_segformer_head_unet_fc_single_step_ade_pretrained_freeze_embed_80k_ade20k151/best_mIoU_iter_64000.pth'} + (decode_head): SegformerHeadUnetFCHeadMultiStep( + input_transform=multiple_select, ignore_index=0, align_corners=False + (loss_decode): CrossEntropyLoss(avg_non_ignore=False) + (conv_seg): None + (dropout): Dropout2d(p=0.1, inplace=False) + (convs): ModuleList( + (0): ConvModule( + (conv): Conv2d(64, 256, kernel_size=(1, 1), stride=(1, 1), bias=False) + (bn): SyncBatchNorm(256, eps=1e-05, momentum=0.1, affine=True, track_running_stats=True) + (activate): ReLU(inplace=True) + ) + (1): ConvModule( + (conv): Conv2d(128, 256, kernel_size=(1, 1), stride=(1, 1), bias=False) + (bn): SyncBatchNorm(256, eps=1e-05, momentum=0.1, affine=True, track_running_stats=True) + (activate): ReLU(inplace=True) + ) + (2): ConvModule( + (conv): Conv2d(320, 256, kernel_size=(1, 1), stride=(1, 1), bias=False) + (bn): SyncBatchNorm(256, eps=1e-05, momentum=0.1, affine=True, track_running_stats=True) + (activate): ReLU(inplace=True) + ) + (3): ConvModule( + (conv): Conv2d(512, 256, kernel_size=(1, 1), stride=(1, 1), bias=False) + (bn): SyncBatchNorm(256, eps=1e-05, momentum=0.1, affine=True, track_running_stats=True) + (activate): ReLU(inplace=True) + ) + ) + (fusion_conv): ConvModule( + (conv): Conv2d(1024, 256, kernel_size=(1, 1), stride=(1, 1), bias=False) + (bn): SyncBatchNorm(256, eps=1e-05, momentum=0.1, affine=True, track_running_stats=True) + (activate): ReLU(inplace=True) + ) + (unet): Unet( + (init_conv): Conv2d(272, 128, kernel_size=(7, 7), stride=(1, 1), padding=(3, 3)) + (time_mlp): Sequential( + (0): SinusoidalPosEmb() + (1): Linear(in_features=128, out_features=512, bias=True) + (2): GELU(approximate='none') + (3): Linear(in_features=512, out_features=512, bias=True) + ) + (downs): ModuleList( + (0): ModuleList( + (0): ResnetBlock( + (mlp): Sequential( + (0): SiLU() + (1): Linear(in_features=512, out_features=256, bias=True) + ) + (block1): Block( + (proj): WeightStandardizedConv2d(128, 128, kernel_size=(3, 3), stride=(1, 1), padding=(1, 1)) + (norm): GroupNorm(8, 128, eps=1e-05, affine=True) + (act): SiLU() + ) + (block2): Block( + (proj): WeightStandardizedConv2d(128, 128, kernel_size=(3, 3), stride=(1, 1), padding=(1, 1)) + (norm): GroupNorm(8, 128, eps=1e-05, affine=True) + (act): SiLU() + ) + (res_conv): Identity() + ) + (1): ResnetBlock( + (mlp): Sequential( + (0): SiLU() + (1): Linear(in_features=512, out_features=256, bias=True) + ) + (block1): Block( + (proj): WeightStandardizedConv2d(128, 128, kernel_size=(3, 3), stride=(1, 1), padding=(1, 1)) + (norm): GroupNorm(8, 128, eps=1e-05, affine=True) + (act): SiLU() + ) + (block2): Block( + (proj): WeightStandardizedConv2d(128, 128, kernel_size=(3, 3), stride=(1, 1), padding=(1, 1)) + (norm): GroupNorm(8, 128, eps=1e-05, affine=True) + (act): SiLU() + ) + (res_conv): Identity() + ) + (2): Residual( + (fn): PreNorm( + (fn): LinearAttention( + (to_qkv): Conv2d(128, 384, kernel_size=(1, 1), stride=(1, 1), bias=False) + (to_out): Sequential( + (0): Conv2d(128, 128, kernel_size=(1, 1), stride=(1, 1)) + (1): LayerNorm() + ) + ) + (norm): LayerNorm() + ) + ) + (3): Conv2d(128, 128, kernel_size=(4, 4), stride=(2, 2), padding=(1, 1)) + ) + (1): ModuleList( + (0): ResnetBlock( + (mlp): Sequential( + (0): SiLU() + (1): Linear(in_features=512, out_features=256, bias=True) + ) + (block1): Block( + (proj): WeightStandardizedConv2d(128, 128, kernel_size=(3, 3), stride=(1, 1), padding=(1, 1)) + (norm): GroupNorm(8, 128, eps=1e-05, affine=True) + (act): SiLU() + ) + (block2): Block( + (proj): WeightStandardizedConv2d(128, 128, kernel_size=(3, 3), stride=(1, 1), padding=(1, 1)) + (norm): GroupNorm(8, 128, eps=1e-05, affine=True) + (act): SiLU() + ) + (res_conv): Identity() + ) + (1): ResnetBlock( + (mlp): Sequential( + (0): SiLU() + (1): Linear(in_features=512, out_features=256, bias=True) + ) + (block1): Block( + (proj): WeightStandardizedConv2d(128, 128, kernel_size=(3, 3), stride=(1, 1), padding=(1, 1)) + (norm): GroupNorm(8, 128, eps=1e-05, affine=True) + (act): SiLU() + ) + (block2): Block( + (proj): WeightStandardizedConv2d(128, 128, kernel_size=(3, 3), stride=(1, 1), padding=(1, 1)) + (norm): GroupNorm(8, 128, eps=1e-05, affine=True) + (act): SiLU() + ) + (res_conv): Identity() + ) + (2): Residual( + (fn): PreNorm( + (fn): LinearAttention( + (to_qkv): Conv2d(128, 384, kernel_size=(1, 1), stride=(1, 1), bias=False) + (to_out): Sequential( + (0): Conv2d(128, 128, kernel_size=(1, 1), stride=(1, 1)) + (1): LayerNorm() + ) + ) + (norm): LayerNorm() + ) + ) + (3): Conv2d(128, 128, kernel_size=(4, 4), stride=(2, 2), padding=(1, 1)) + ) + (2): ModuleList( + (0): ResnetBlock( + (mlp): Sequential( + (0): SiLU() + (1): Linear(in_features=512, out_features=256, bias=True) + ) + (block1): Block( + (proj): WeightStandardizedConv2d(128, 128, kernel_size=(3, 3), stride=(1, 1), padding=(1, 1)) + (norm): GroupNorm(8, 128, eps=1e-05, affine=True) + (act): SiLU() + ) + (block2): Block( + (proj): WeightStandardizedConv2d(128, 128, kernel_size=(3, 3), stride=(1, 1), padding=(1, 1)) + (norm): GroupNorm(8, 128, eps=1e-05, affine=True) + (act): SiLU() + ) + (res_conv): Identity() + ) + (1): ResnetBlock( + (mlp): Sequential( + (0): SiLU() + (1): Linear(in_features=512, out_features=256, bias=True) + ) + (block1): Block( + (proj): WeightStandardizedConv2d(128, 128, kernel_size=(3, 3), stride=(1, 1), padding=(1, 1)) + (norm): GroupNorm(8, 128, eps=1e-05, affine=True) + (act): SiLU() + ) + (block2): Block( + (proj): WeightStandardizedConv2d(128, 128, kernel_size=(3, 3), stride=(1, 1), padding=(1, 1)) + (norm): GroupNorm(8, 128, eps=1e-05, affine=True) + (act): SiLU() + ) + (res_conv): Identity() + ) + (2): Residual( + (fn): PreNorm( + (fn): LinearAttention( + (to_qkv): Conv2d(128, 384, kernel_size=(1, 1), stride=(1, 1), bias=False) + (to_out): Sequential( + (0): Conv2d(128, 128, kernel_size=(1, 1), stride=(1, 1)) + (1): LayerNorm() + ) + ) + (norm): LayerNorm() + ) + ) + (3): Conv2d(128, 128, kernel_size=(3, 3), stride=(1, 1), padding=(1, 1)) + ) + ) + (ups): ModuleList( + (0): ModuleList( + (0): ResnetBlock( + (mlp): Sequential( + (0): SiLU() + (1): Linear(in_features=512, out_features=256, bias=True) + ) + (block1): Block( + (proj): WeightStandardizedConv2d(256, 128, kernel_size=(3, 3), stride=(1, 1), padding=(1, 1)) + (norm): GroupNorm(8, 128, eps=1e-05, affine=True) + (act): SiLU() + ) + (block2): Block( + (proj): WeightStandardizedConv2d(128, 128, kernel_size=(3, 3), stride=(1, 1), padding=(1, 1)) + (norm): GroupNorm(8, 128, eps=1e-05, affine=True) + (act): SiLU() + ) + (res_conv): Conv2d(256, 128, kernel_size=(1, 1), stride=(1, 1)) + ) + (1): ResnetBlock( + (mlp): Sequential( + (0): SiLU() + (1): Linear(in_features=512, out_features=256, bias=True) + ) + (block1): Block( + (proj): WeightStandardizedConv2d(256, 128, kernel_size=(3, 3), stride=(1, 1), padding=(1, 1)) + (norm): GroupNorm(8, 128, eps=1e-05, affine=True) + (act): SiLU() + ) + (block2): Block( + (proj): WeightStandardizedConv2d(128, 128, kernel_size=(3, 3), stride=(1, 1), padding=(1, 1)) + (norm): GroupNorm(8, 128, eps=1e-05, affine=True) + (act): SiLU() + ) + (res_conv): Conv2d(256, 128, kernel_size=(1, 1), stride=(1, 1)) + ) + (2): Residual( + (fn): PreNorm( + (fn): LinearAttention( + (to_qkv): Conv2d(128, 384, kernel_size=(1, 1), stride=(1, 1), bias=False) + (to_out): Sequential( + (0): Conv2d(128, 128, kernel_size=(1, 1), stride=(1, 1)) + (1): LayerNorm() + ) + ) + (norm): LayerNorm() + ) + ) + (3): Sequential( + (0): Upsample(scale_factor=2.0, mode=nearest) + (1): Conv2d(128, 128, kernel_size=(3, 3), stride=(1, 1), padding=(1, 1)) + ) + ) + (1): ModuleList( + (0): ResnetBlock( + (mlp): Sequential( + (0): SiLU() + (1): Linear(in_features=512, out_features=256, bias=True) + ) + (block1): Block( + (proj): WeightStandardizedConv2d(256, 128, kernel_size=(3, 3), stride=(1, 1), padding=(1, 1)) + (norm): GroupNorm(8, 128, eps=1e-05, affine=True) + (act): SiLU() + ) + (block2): Block( + (proj): WeightStandardizedConv2d(128, 128, kernel_size=(3, 3), stride=(1, 1), padding=(1, 1)) + (norm): GroupNorm(8, 128, eps=1e-05, affine=True) + (act): SiLU() + ) + (res_conv): Conv2d(256, 128, kernel_size=(1, 1), stride=(1, 1)) + ) + (1): ResnetBlock( + (mlp): Sequential( + (0): SiLU() + (1): Linear(in_features=512, out_features=256, bias=True) + ) + (block1): Block( + (proj): WeightStandardizedConv2d(256, 128, kernel_size=(3, 3), stride=(1, 1), padding=(1, 1)) + (norm): GroupNorm(8, 128, eps=1e-05, affine=True) + (act): SiLU() + ) + (block2): Block( + (proj): WeightStandardizedConv2d(128, 128, kernel_size=(3, 3), stride=(1, 1), padding=(1, 1)) + (norm): GroupNorm(8, 128, eps=1e-05, affine=True) + (act): SiLU() + ) + (res_conv): Conv2d(256, 128, kernel_size=(1, 1), stride=(1, 1)) + ) + (2): Residual( + (fn): PreNorm( + (fn): LinearAttention( + (to_qkv): Conv2d(128, 384, kernel_size=(1, 1), stride=(1, 1), bias=False) + (to_out): Sequential( + (0): Conv2d(128, 128, kernel_size=(1, 1), stride=(1, 1)) + (1): LayerNorm() + ) + ) + (norm): LayerNorm() + ) + ) + (3): Sequential( + (0): Upsample(scale_factor=2.0, mode=nearest) + (1): Conv2d(128, 128, kernel_size=(3, 3), stride=(1, 1), padding=(1, 1)) + ) + ) + (2): ModuleList( + (0): ResnetBlock( + (mlp): Sequential( + (0): SiLU() + (1): Linear(in_features=512, out_features=256, bias=True) + ) + (block1): Block( + (proj): WeightStandardizedConv2d(256, 128, kernel_size=(3, 3), stride=(1, 1), padding=(1, 1)) + (norm): GroupNorm(8, 128, eps=1e-05, affine=True) + (act): SiLU() + ) + (block2): Block( + (proj): WeightStandardizedConv2d(128, 128, kernel_size=(3, 3), stride=(1, 1), padding=(1, 1)) + (norm): GroupNorm(8, 128, eps=1e-05, affine=True) + (act): SiLU() + ) + (res_conv): Conv2d(256, 128, kernel_size=(1, 1), stride=(1, 1)) + ) + (1): ResnetBlock( + (mlp): Sequential( + (0): SiLU() + (1): Linear(in_features=512, out_features=256, bias=True) + ) + (block1): Block( + (proj): WeightStandardizedConv2d(256, 128, kernel_size=(3, 3), stride=(1, 1), padding=(1, 1)) + (norm): GroupNorm(8, 128, eps=1e-05, affine=True) + (act): SiLU() + ) + (block2): Block( + (proj): WeightStandardizedConv2d(128, 128, kernel_size=(3, 3), stride=(1, 1), padding=(1, 1)) + (norm): GroupNorm(8, 128, eps=1e-05, affine=True) + (act): SiLU() + ) + (res_conv): Conv2d(256, 128, kernel_size=(1, 1), stride=(1, 1)) + ) + (2): Residual( + (fn): PreNorm( + (fn): LinearAttention( + (to_qkv): Conv2d(128, 384, kernel_size=(1, 1), stride=(1, 1), bias=False) + (to_out): Sequential( + (0): Conv2d(128, 128, kernel_size=(1, 1), stride=(1, 1)) + (1): LayerNorm() + ) + ) + (norm): LayerNorm() + ) + ) + (3): Conv2d(128, 128, kernel_size=(3, 3), stride=(1, 1), padding=(1, 1)) + ) + ) + (mid_block1): ResnetBlock( + (mlp): Sequential( + (0): SiLU() + (1): Linear(in_features=512, out_features=256, bias=True) + ) + (block1): Block( + (proj): WeightStandardizedConv2d(128, 128, kernel_size=(3, 3), stride=(1, 1), padding=(1, 1)) + (norm): GroupNorm(8, 128, eps=1e-05, affine=True) + (act): SiLU() + ) + (block2): Block( + (proj): WeightStandardizedConv2d(128, 128, kernel_size=(3, 3), stride=(1, 1), padding=(1, 1)) + (norm): GroupNorm(8, 128, eps=1e-05, affine=True) + (act): SiLU() + ) + (res_conv): Identity() + ) + (mid_attn): Residual( + (fn): PreNorm( + (fn): Attention( + (to_qkv): Conv2d(128, 384, kernel_size=(1, 1), stride=(1, 1), bias=False) + (to_out): Conv2d(128, 128, kernel_size=(1, 1), stride=(1, 1)) + ) + (norm): LayerNorm() + ) + ) + (mid_block2): ResnetBlock( + (mlp): Sequential( + (0): SiLU() + (1): Linear(in_features=512, out_features=256, bias=True) + ) + (block1): Block( + (proj): WeightStandardizedConv2d(128, 128, kernel_size=(3, 3), stride=(1, 1), padding=(1, 1)) + (norm): GroupNorm(8, 128, eps=1e-05, affine=True) + (act): SiLU() + ) + (block2): Block( + (proj): WeightStandardizedConv2d(128, 128, kernel_size=(3, 3), stride=(1, 1), padding=(1, 1)) + (norm): GroupNorm(8, 128, eps=1e-05, affine=True) + (act): SiLU() + ) + (res_conv): Identity() + ) + (final_res_block): ResnetBlock( + (mlp): Sequential( + (0): SiLU() + (1): Linear(in_features=512, out_features=256, bias=True) + ) + (block1): Block( + (proj): WeightStandardizedConv2d(256, 128, kernel_size=(3, 3), stride=(1, 1), padding=(1, 1)) + (norm): GroupNorm(8, 128, eps=1e-05, affine=True) + (act): SiLU() + ) + (block2): Block( + (proj): WeightStandardizedConv2d(128, 128, kernel_size=(3, 3), stride=(1, 1), padding=(1, 1)) + (norm): GroupNorm(8, 128, eps=1e-05, affine=True) + (act): SiLU() + ) + (res_conv): Conv2d(256, 128, kernel_size=(1, 1), stride=(1, 1)) + ) + (final_conv): Conv2d(128, 256, kernel_size=(1, 1), stride=(1, 1)) + ) + (conv_seg_new): Conv2d(256, 151, kernel_size=(1, 1), stride=(1, 1)) + (embed): Embedding(151, 16) + ) + init_cfg={'type': 'Pretrained', 'checkpoint': 'work_dirs2/segformer_mit_b2_segformer_head_unet_fc_single_step_ade_pretrained_freeze_embed_80k_ade20k151/best_mIoU_iter_64000.pth'} +) +2023-03-04 01:09:12,478 - mmseg - INFO - Loaded 20210 images +2023-03-04 01:09:16,382 - mmseg - INFO - Loaded 2000 images +2023-03-04 01:09:16,384 - mmseg - INFO - Start running, host: laizeqiang@SH-IDC1-10-140-37-110, work_dir: /mnt/petrelfs/laizeqiang/mmseg-baseline/work_dirs2/ablation_segformer_mit_b2_segformer_head_unet_fc_small_multi_step_ade_pretrained_freeze_embed_160k_ade20k151_finetune_ema_cos +2023-03-04 01:09:16,385 - mmseg - INFO - Hooks will be executed in the following order: +before_run: +(VERY_HIGH ) StepLrUpdaterHook +(49 ) ConstantMomentumEMAHook +(NORMAL ) CheckpointHook +(LOW ) DistEvalHookMultiSteps +(VERY_LOW ) TextLoggerHook + -------------------- +before_train_epoch: +(VERY_HIGH ) StepLrUpdaterHook +(LOW ) IterTimerHook +(LOW ) DistEvalHookMultiSteps +(VERY_LOW ) TextLoggerHook + -------------------- +before_train_iter: +(VERY_HIGH ) StepLrUpdaterHook +(49 ) ConstantMomentumEMAHook +(LOW ) IterTimerHook +(LOW ) DistEvalHookMultiSteps + -------------------- +after_train_iter: +(ABOVE_NORMAL) OptimizerHook +(49 ) ConstantMomentumEMAHook +(NORMAL ) CheckpointHook +(LOW ) IterTimerHook +(LOW ) DistEvalHookMultiSteps +(VERY_LOW ) TextLoggerHook + -------------------- +after_train_epoch: +(NORMAL ) CheckpointHook +(LOW ) DistEvalHookMultiSteps +(VERY_LOW ) TextLoggerHook + -------------------- +before_val_epoch: +(LOW ) IterTimerHook +(VERY_LOW ) TextLoggerHook + -------------------- +before_val_iter: +(LOW ) IterTimerHook + -------------------- +after_val_iter: +(LOW ) IterTimerHook + -------------------- +after_val_epoch: +(VERY_LOW ) TextLoggerHook + -------------------- +after_run: +(VERY_LOW ) TextLoggerHook + -------------------- +2023-03-04 01:09:16,385 - mmseg - INFO - workflow: [('train', 1)], max: 160000 iters +2023-03-04 01:09:16,423 - mmseg - INFO - Checkpoints will be saved to /mnt/petrelfs/laizeqiang/mmseg-baseline/work_dirs2/ablation_segformer_mit_b2_segformer_head_unet_fc_small_multi_step_ade_pretrained_freeze_embed_160k_ade20k151_finetune_ema_cos by HardDiskBackend. +2023-03-04 01:09:40,117 - mmseg - INFO - Swap parameters (before train) before iter [1] +2023-03-04 01:09:56,222 - mmseg - INFO - Iter [50/160000] lr: 7.350e-06, eta: 14:44:04, time: 0.332, data_time: 0.017, memory: 19921, decode.loss_ce: 0.2056, decode.acc_seg: 91.4927, loss: 0.2056 +2023-03-04 01:10:06,205 - mmseg - INFO - Iter [100/160000] lr: 1.485e-05, eta: 11:47:53, time: 0.200, data_time: 0.007, memory: 19921, decode.loss_ce: 0.2027, decode.acc_seg: 91.5806, loss: 0.2027 +2023-03-04 01:10:16,011 - mmseg - INFO - Iter [150/160000] lr: 2.235e-05, eta: 10:45:57, time: 0.196, data_time: 0.007, memory: 19921, decode.loss_ce: 0.1987, decode.acc_seg: 91.7742, loss: 0.1987 +2023-03-04 01:10:25,794 - mmseg - INFO - Iter [200/160000] lr: 2.985e-05, eta: 10:14:35, time: 0.196, data_time: 0.006, memory: 19921, decode.loss_ce: 0.1890, decode.acc_seg: 92.1083, loss: 0.1890 +2023-03-04 01:10:35,367 - mmseg - INFO - Iter [250/160000] lr: 3.735e-05, eta: 9:53:28, time: 0.191, data_time: 0.007, memory: 19921, decode.loss_ce: 0.1967, decode.acc_seg: 91.9863, loss: 0.1967 +2023-03-04 01:10:45,047 - mmseg - INFO - Iter [300/160000] lr: 4.485e-05, eta: 9:40:17, time: 0.194, data_time: 0.007, memory: 19921, decode.loss_ce: 0.2052, decode.acc_seg: 91.4920, loss: 0.2052 +2023-03-04 01:10:54,807 - mmseg - INFO - Iter [350/160000] lr: 5.235e-05, eta: 9:31:25, time: 0.195, data_time: 0.007, memory: 19921, decode.loss_ce: 0.2004, decode.acc_seg: 91.8418, loss: 0.2004 +2023-03-04 01:11:04,377 - mmseg - INFO - Iter [400/160000] lr: 5.985e-05, eta: 9:23:24, time: 0.191, data_time: 0.007, memory: 19921, decode.loss_ce: 0.1975, decode.acc_seg: 91.8728, loss: 0.1975 +2023-03-04 01:11:14,091 - mmseg - INFO - Iter [450/160000] lr: 6.735e-05, eta: 9:18:07, time: 0.195, data_time: 0.007, memory: 19921, decode.loss_ce: 0.2044, decode.acc_seg: 91.5089, loss: 0.2044 +2023-03-04 01:11:23,610 - mmseg - INFO - Iter [500/160000] lr: 7.485e-05, eta: 9:12:45, time: 0.190, data_time: 0.007, memory: 19921, decode.loss_ce: 0.2002, decode.acc_seg: 91.7635, loss: 0.2002 +2023-03-04 01:11:33,915 - mmseg - INFO - Iter [550/160000] lr: 8.235e-05, eta: 9:12:08, time: 0.206, data_time: 0.006, memory: 19921, decode.loss_ce: 0.2023, decode.acc_seg: 91.7012, loss: 0.2023 +2023-03-04 01:11:43,493 - mmseg - INFO - Iter [600/160000] lr: 8.985e-05, eta: 9:08:22, time: 0.192, data_time: 0.007, memory: 19921, decode.loss_ce: 0.2094, decode.acc_seg: 91.3998, loss: 0.2094 +2023-03-04 01:11:55,721 - mmseg - INFO - Iter [650/160000] lr: 9.735e-05, eta: 9:15:59, time: 0.245, data_time: 0.055, memory: 19921, decode.loss_ce: 0.2062, decode.acc_seg: 91.4813, loss: 0.2062 +2023-03-04 01:12:05,257 - mmseg - INFO - Iter [700/160000] lr: 1.049e-04, eta: 9:12:17, time: 0.191, data_time: 0.007, memory: 19921, decode.loss_ce: 0.2160, decode.acc_seg: 91.2139, loss: 0.2160 +2023-03-04 01:12:15,150 - mmseg - INFO - Iter [750/160000] lr: 1.124e-04, eta: 9:10:18, time: 0.198, data_time: 0.007, memory: 19921, decode.loss_ce: 0.2144, decode.acc_seg: 91.4175, loss: 0.2144 +2023-03-04 01:12:24,963 - mmseg - INFO - Iter [800/160000] lr: 1.199e-04, eta: 9:08:18, time: 0.196, data_time: 0.008, memory: 19921, decode.loss_ce: 0.2147, decode.acc_seg: 91.2531, loss: 0.2147 +2023-03-04 01:12:34,589 - mmseg - INFO - Iter [850/160000] lr: 1.274e-04, eta: 9:05:55, time: 0.192, data_time: 0.007, memory: 19921, decode.loss_ce: 0.2111, decode.acc_seg: 91.2374, loss: 0.2111 +2023-03-04 01:12:44,137 - mmseg - INFO - Iter [900/160000] lr: 1.349e-04, eta: 9:03:33, time: 0.191, data_time: 0.007, memory: 19921, decode.loss_ce: 0.2258, decode.acc_seg: 90.7652, loss: 0.2258 +2023-03-04 01:12:53,998 - mmseg - INFO - Iter [950/160000] lr: 1.424e-04, eta: 9:02:18, time: 0.197, data_time: 0.007, memory: 19921, decode.loss_ce: 0.2107, decode.acc_seg: 91.2393, loss: 0.2107 +2023-03-04 01:13:03,654 - mmseg - INFO - Exp name: ablation_segformer_mit_b2_segformer_head_unet_fc_small_multi_step_ade_pretrained_freeze_embed_160k_ade20k151_finetune_ema_cos.py +2023-03-04 01:13:03,655 - mmseg - INFO - Iter [1000/160000] lr: 1.499e-04, eta: 9:00:37, time: 0.193, data_time: 0.007, memory: 19921, decode.loss_ce: 0.2158, decode.acc_seg: 91.0520, loss: 0.2158 +2023-03-04 01:13:13,264 - mmseg - INFO - Iter [1050/160000] lr: 1.500e-04, eta: 8:58:57, time: 0.192, data_time: 0.007, memory: 19921, decode.loss_ce: 0.2355, decode.acc_seg: 90.7181, loss: 0.2355 +2023-03-04 01:13:22,870 - mmseg - INFO - Iter [1100/160000] lr: 1.500e-04, eta: 8:57:25, time: 0.192, data_time: 0.007, memory: 19921, decode.loss_ce: 0.2129, decode.acc_seg: 91.3144, loss: 0.2129 +2023-03-04 01:13:32,759 - mmseg - INFO - Iter [1150/160000] lr: 1.500e-04, eta: 8:56:39, time: 0.198, data_time: 0.007, memory: 19921, decode.loss_ce: 0.2248, decode.acc_seg: 90.8874, loss: 0.2248 +2023-03-04 01:13:42,415 - mmseg - INFO - Iter [1200/160000] lr: 1.500e-04, eta: 8:55:26, time: 0.193, data_time: 0.007, memory: 19921, decode.loss_ce: 0.2238, decode.acc_seg: 90.8752, loss: 0.2238 +2023-03-04 01:13:52,129 - mmseg - INFO - Iter [1250/160000] lr: 1.500e-04, eta: 8:54:25, time: 0.194, data_time: 0.007, memory: 19921, decode.loss_ce: 0.2187, decode.acc_seg: 91.0296, loss: 0.2187 +2023-03-04 01:14:04,253 - mmseg - INFO - Iter [1300/160000] lr: 1.500e-04, eta: 8:58:22, time: 0.242, data_time: 0.052, memory: 19921, decode.loss_ce: 0.2255, decode.acc_seg: 90.8143, loss: 0.2255 +2023-03-04 01:14:13,768 - mmseg - INFO - Iter [1350/160000] lr: 1.500e-04, eta: 8:56:53, time: 0.190, data_time: 0.007, memory: 19921, decode.loss_ce: 0.2161, decode.acc_seg: 91.2406, loss: 0.2161 +2023-03-04 01:14:23,341 - mmseg - INFO - Iter [1400/160000] lr: 1.500e-04, eta: 8:55:38, time: 0.191, data_time: 0.007, memory: 19921, decode.loss_ce: 0.2138, decode.acc_seg: 91.2693, loss: 0.2138 +2023-03-04 01:14:33,195 - mmseg - INFO - Iter [1450/160000] lr: 1.500e-04, eta: 8:54:57, time: 0.197, data_time: 0.007, memory: 19921, decode.loss_ce: 0.2245, decode.acc_seg: 90.7938, loss: 0.2245 +2023-03-04 01:14:42,929 - mmseg - INFO - Iter [1500/160000] lr: 1.500e-04, eta: 8:54:06, time: 0.195, data_time: 0.007, memory: 19921, decode.loss_ce: 0.2221, decode.acc_seg: 90.8861, loss: 0.2221 +2023-03-04 01:14:52,784 - mmseg - INFO - Iter [1550/160000] lr: 1.500e-04, eta: 8:53:30, time: 0.197, data_time: 0.007, memory: 19921, decode.loss_ce: 0.2120, decode.acc_seg: 91.3644, loss: 0.2120 +2023-03-04 01:15:02,470 - mmseg - INFO - Iter [1600/160000] lr: 1.500e-04, eta: 8:52:38, time: 0.194, data_time: 0.007, memory: 19921, decode.loss_ce: 0.2194, decode.acc_seg: 90.9916, loss: 0.2194 +2023-03-04 01:15:12,166 - mmseg - INFO - Iter [1650/160000] lr: 1.500e-04, eta: 8:51:51, time: 0.194, data_time: 0.007, memory: 19921, decode.loss_ce: 0.2169, decode.acc_seg: 90.9660, loss: 0.2169 +2023-03-04 01:15:22,268 - mmseg - INFO - Iter [1700/160000] lr: 1.500e-04, eta: 8:51:43, time: 0.202, data_time: 0.007, memory: 19921, decode.loss_ce: 0.2142, decode.acc_seg: 91.3059, loss: 0.2142 +2023-03-04 01:15:32,243 - mmseg - INFO - Iter [1750/160000] lr: 1.500e-04, eta: 8:51:24, time: 0.200, data_time: 0.007, memory: 19921, decode.loss_ce: 0.2145, decode.acc_seg: 91.4031, loss: 0.2145 +2023-03-04 01:15:41,900 - mmseg - INFO - Iter [1800/160000] lr: 1.500e-04, eta: 8:50:37, time: 0.193, data_time: 0.007, memory: 19921, decode.loss_ce: 0.2196, decode.acc_seg: 91.1095, loss: 0.2196 +2023-03-04 01:15:51,556 - mmseg - INFO - Iter [1850/160000] lr: 1.500e-04, eta: 8:49:52, time: 0.193, data_time: 0.007, memory: 19921, decode.loss_ce: 0.2211, decode.acc_seg: 90.9716, loss: 0.2211 +2023-03-04 01:16:04,027 - mmseg - INFO - Iter [1900/160000] lr: 1.500e-04, eta: 8:53:03, time: 0.249, data_time: 0.057, memory: 19921, decode.loss_ce: 0.2251, decode.acc_seg: 90.7602, loss: 0.2251 +2023-03-04 01:16:13,916 - mmseg - INFO - Iter [1950/160000] lr: 1.500e-04, eta: 8:52:35, time: 0.198, data_time: 0.007, memory: 19921, decode.loss_ce: 0.2137, decode.acc_seg: 91.2776, loss: 0.2137 +2023-03-04 01:16:24,835 - mmseg - INFO - Exp name: ablation_segformer_mit_b2_segformer_head_unet_fc_small_multi_step_ade_pretrained_freeze_embed_160k_ade20k151_finetune_ema_cos.py +2023-03-04 01:16:24,835 - mmseg - INFO - Iter [2000/160000] lr: 1.500e-04, eta: 8:53:29, time: 0.218, data_time: 0.007, memory: 19921, decode.loss_ce: 0.2071, decode.acc_seg: 91.4107, loss: 0.2071 +2023-03-04 01:16:34,587 - mmseg - INFO - Iter [2050/160000] lr: 1.500e-04, eta: 8:52:50, time: 0.195, data_time: 0.007, memory: 19921, decode.loss_ce: 0.2118, decode.acc_seg: 91.3554, loss: 0.2118 +2023-03-04 01:16:44,602 - mmseg - INFO - Iter [2100/160000] lr: 1.500e-04, eta: 8:52:31, time: 0.200, data_time: 0.007, memory: 19921, decode.loss_ce: 0.2298, decode.acc_seg: 90.6883, loss: 0.2298 +2023-03-04 01:16:54,194 - mmseg - INFO - Iter [2150/160000] lr: 1.500e-04, eta: 8:51:43, time: 0.192, data_time: 0.007, memory: 19921, decode.loss_ce: 0.2173, decode.acc_seg: 91.1279, loss: 0.2173 +2023-03-04 01:17:03,811 - mmseg - INFO - Iter [2200/160000] lr: 1.500e-04, eta: 8:50:58, time: 0.192, data_time: 0.007, memory: 19921, decode.loss_ce: 0.2238, decode.acc_seg: 90.9156, loss: 0.2238 +2023-03-04 01:17:13,509 - mmseg - INFO - Iter [2250/160000] lr: 1.500e-04, eta: 8:50:20, time: 0.194, data_time: 0.007, memory: 19921, decode.loss_ce: 0.2171, decode.acc_seg: 91.1747, loss: 0.2171 +2023-03-04 01:17:23,814 - mmseg - INFO - Iter [2300/160000] lr: 1.500e-04, eta: 8:50:25, time: 0.206, data_time: 0.008, memory: 19921, decode.loss_ce: 0.2196, decode.acc_seg: 91.1331, loss: 0.2196 +2023-03-04 01:17:33,572 - mmseg - INFO - Iter [2350/160000] lr: 1.500e-04, eta: 8:49:52, time: 0.195, data_time: 0.007, memory: 19921, decode.loss_ce: 0.2154, decode.acc_seg: 91.2885, loss: 0.2154 +2023-03-04 01:17:43,171 - mmseg - INFO - Iter [2400/160000] lr: 1.500e-04, eta: 8:49:10, time: 0.192, data_time: 0.007, memory: 19921, decode.loss_ce: 0.2197, decode.acc_seg: 91.1262, loss: 0.2197 +2023-03-04 01:17:52,798 - mmseg - INFO - Iter [2450/160000] lr: 1.500e-04, eta: 8:48:31, time: 0.193, data_time: 0.007, memory: 19921, decode.loss_ce: 0.2301, decode.acc_seg: 90.6653, loss: 0.2301 +2023-03-04 01:18:02,416 - mmseg - INFO - Iter [2500/160000] lr: 1.500e-04, eta: 8:47:53, time: 0.192, data_time: 0.007, memory: 19921, decode.loss_ce: 0.2138, decode.acc_seg: 91.3060, loss: 0.2138 +2023-03-04 01:18:14,897 - mmseg - INFO - Iter [2550/160000] lr: 1.500e-04, eta: 8:50:13, time: 0.250, data_time: 0.056, memory: 19921, decode.loss_ce: 0.2270, decode.acc_seg: 90.8321, loss: 0.2270 +2023-03-04 01:18:24,494 - mmseg - INFO - Iter [2600/160000] lr: 1.500e-04, eta: 8:49:32, time: 0.192, data_time: 0.007, memory: 19921, decode.loss_ce: 0.2191, decode.acc_seg: 91.0772, loss: 0.2191 +2023-03-04 01:18:34,011 - mmseg - INFO - Iter [2650/160000] lr: 1.500e-04, eta: 8:48:48, time: 0.190, data_time: 0.007, memory: 19921, decode.loss_ce: 0.2211, decode.acc_seg: 90.9314, loss: 0.2211 +2023-03-04 01:18:43,530 - mmseg - INFO - Iter [2700/160000] lr: 1.500e-04, eta: 8:48:05, time: 0.190, data_time: 0.007, memory: 19921, decode.loss_ce: 0.2223, decode.acc_seg: 91.0507, loss: 0.2223 +2023-03-04 01:18:53,466 - mmseg - INFO - Iter [2750/160000] lr: 1.500e-04, eta: 8:47:47, time: 0.198, data_time: 0.007, memory: 19921, decode.loss_ce: 0.2159, decode.acc_seg: 91.1959, loss: 0.2159 +2023-03-04 01:19:03,363 - mmseg - INFO - Iter [2800/160000] lr: 1.500e-04, eta: 8:47:27, time: 0.198, data_time: 0.007, memory: 19921, decode.loss_ce: 0.2170, decode.acc_seg: 91.1436, loss: 0.2170 +2023-03-04 01:19:12,985 - mmseg - INFO - Iter [2850/160000] lr: 1.500e-04, eta: 8:46:53, time: 0.192, data_time: 0.007, memory: 19921, decode.loss_ce: 0.2202, decode.acc_seg: 91.0897, loss: 0.2202 +2023-03-04 01:19:22,584 - mmseg - INFO - Iter [2900/160000] lr: 1.500e-04, eta: 8:46:18, time: 0.192, data_time: 0.007, memory: 19921, decode.loss_ce: 0.2212, decode.acc_seg: 91.0259, loss: 0.2212 +2023-03-04 01:19:32,163 - mmseg - INFO - Iter [2950/160000] lr: 1.500e-04, eta: 8:45:43, time: 0.192, data_time: 0.007, memory: 19921, decode.loss_ce: 0.2234, decode.acc_seg: 90.8745, loss: 0.2234 +2023-03-04 01:19:42,104 - mmseg - INFO - Exp name: ablation_segformer_mit_b2_segformer_head_unet_fc_small_multi_step_ade_pretrained_freeze_embed_160k_ade20k151_finetune_ema_cos.py +2023-03-04 01:19:42,104 - mmseg - INFO - Iter [3000/160000] lr: 1.500e-04, eta: 8:45:27, time: 0.199, data_time: 0.007, memory: 19921, decode.loss_ce: 0.2186, decode.acc_seg: 91.1489, loss: 0.2186 +2023-03-04 01:19:51,885 - mmseg - INFO - Iter [3050/160000] lr: 1.500e-04, eta: 8:45:04, time: 0.196, data_time: 0.007, memory: 19921, decode.loss_ce: 0.2247, decode.acc_seg: 90.9804, loss: 0.2247 +2023-03-04 01:20:01,477 - mmseg - INFO - Iter [3100/160000] lr: 1.500e-04, eta: 8:44:31, time: 0.192, data_time: 0.007, memory: 19921, decode.loss_ce: 0.2091, decode.acc_seg: 91.5680, loss: 0.2091 +2023-03-04 01:20:11,131 - mmseg - INFO - Iter [3150/160000] lr: 1.500e-04, eta: 8:44:03, time: 0.193, data_time: 0.007, memory: 19921, decode.loss_ce: 0.2118, decode.acc_seg: 91.2691, loss: 0.2118 +2023-03-04 01:20:23,232 - mmseg - INFO - Iter [3200/160000] lr: 1.500e-04, eta: 8:45:34, time: 0.242, data_time: 0.056, memory: 19921, decode.loss_ce: 0.2224, decode.acc_seg: 91.0644, loss: 0.2224 +2023-03-04 01:20:33,076 - mmseg - INFO - Iter [3250/160000] lr: 1.500e-04, eta: 8:45:14, time: 0.197, data_time: 0.007, memory: 19921, decode.loss_ce: 0.2180, decode.acc_seg: 91.1339, loss: 0.2180 +2023-03-04 01:20:42,943 - mmseg - INFO - Iter [3300/160000] lr: 1.500e-04, eta: 8:44:55, time: 0.197, data_time: 0.007, memory: 19921, decode.loss_ce: 0.2131, decode.acc_seg: 91.3437, loss: 0.2131 +2023-03-04 01:20:52,669 - mmseg - INFO - Iter [3350/160000] lr: 1.500e-04, eta: 8:44:30, time: 0.195, data_time: 0.007, memory: 19921, decode.loss_ce: 0.2094, decode.acc_seg: 91.2810, loss: 0.2094 +2023-03-04 01:21:02,520 - mmseg - INFO - Iter [3400/160000] lr: 1.500e-04, eta: 8:44:11, time: 0.197, data_time: 0.007, memory: 19921, decode.loss_ce: 0.2089, decode.acc_seg: 91.4619, loss: 0.2089 +2023-03-04 01:21:12,141 - mmseg - INFO - Iter [3450/160000] lr: 1.500e-04, eta: 8:43:42, time: 0.192, data_time: 0.007, memory: 19921, decode.loss_ce: 0.2092, decode.acc_seg: 91.4166, loss: 0.2092 +2023-03-04 01:21:21,801 - mmseg - INFO - Iter [3500/160000] lr: 1.500e-04, eta: 8:43:15, time: 0.193, data_time: 0.007, memory: 19921, decode.loss_ce: 0.2243, decode.acc_seg: 90.8299, loss: 0.2243 +2023-03-04 01:21:31,773 - mmseg - INFO - Iter [3550/160000] lr: 1.500e-04, eta: 8:43:02, time: 0.199, data_time: 0.007, memory: 19921, decode.loss_ce: 0.2198, decode.acc_seg: 91.0618, loss: 0.2198 +2023-03-04 01:21:41,461 - mmseg - INFO - Iter [3600/160000] lr: 1.500e-04, eta: 8:42:38, time: 0.194, data_time: 0.007, memory: 19921, decode.loss_ce: 0.2208, decode.acc_seg: 91.1116, loss: 0.2208 +2023-03-04 01:21:51,020 - mmseg - INFO - Iter [3650/160000] lr: 1.500e-04, eta: 8:42:08, time: 0.191, data_time: 0.007, memory: 19921, decode.loss_ce: 0.2144, decode.acc_seg: 91.2927, loss: 0.2144 +2023-03-04 01:22:00,997 - mmseg - INFO - Iter [3700/160000] lr: 1.500e-04, eta: 8:41:56, time: 0.200, data_time: 0.007, memory: 19921, decode.loss_ce: 0.2299, decode.acc_seg: 90.8658, loss: 0.2299 +2023-03-04 01:22:10,625 - mmseg - INFO - Iter [3750/160000] lr: 1.500e-04, eta: 8:41:29, time: 0.193, data_time: 0.007, memory: 19921, decode.loss_ce: 0.2241, decode.acc_seg: 90.8434, loss: 0.2241 +2023-03-04 01:22:22,803 - mmseg - INFO - Iter [3800/160000] lr: 1.500e-04, eta: 8:42:49, time: 0.244, data_time: 0.058, memory: 19921, decode.loss_ce: 0.2241, decode.acc_seg: 90.9363, loss: 0.2241 +2023-03-04 01:22:32,524 - mmseg - INFO - Iter [3850/160000] lr: 1.500e-04, eta: 8:42:25, time: 0.194, data_time: 0.007, memory: 19921, decode.loss_ce: 0.2110, decode.acc_seg: 91.3703, loss: 0.2110 +2023-03-04 01:22:42,249 - mmseg - INFO - Iter [3900/160000] lr: 1.500e-04, eta: 8:42:03, time: 0.194, data_time: 0.007, memory: 19921, decode.loss_ce: 0.2121, decode.acc_seg: 91.3822, loss: 0.2121 +2023-03-04 01:22:51,763 - mmseg - INFO - Iter [3950/160000] lr: 1.500e-04, eta: 8:41:32, time: 0.190, data_time: 0.007, memory: 19921, decode.loss_ce: 0.2311, decode.acc_seg: 90.7520, loss: 0.2311 +2023-03-04 01:23:01,465 - mmseg - INFO - Exp name: ablation_segformer_mit_b2_segformer_head_unet_fc_small_multi_step_ade_pretrained_freeze_embed_160k_ade20k151_finetune_ema_cos.py +2023-03-04 01:23:01,465 - mmseg - INFO - Iter [4000/160000] lr: 1.500e-04, eta: 8:41:10, time: 0.194, data_time: 0.007, memory: 19921, decode.loss_ce: 0.2206, decode.acc_seg: 91.0490, loss: 0.2206 +2023-03-04 01:23:11,029 - mmseg - INFO - Iter [4050/160000] lr: 1.500e-04, eta: 8:40:42, time: 0.191, data_time: 0.007, memory: 19921, decode.loss_ce: 0.2172, decode.acc_seg: 91.1683, loss: 0.2172 +2023-03-04 01:23:20,699 - mmseg - INFO - Iter [4100/160000] lr: 1.500e-04, eta: 8:40:19, time: 0.193, data_time: 0.007, memory: 19921, decode.loss_ce: 0.2173, decode.acc_seg: 91.0727, loss: 0.2173 +2023-03-04 01:23:30,358 - mmseg - INFO - Iter [4150/160000] lr: 1.500e-04, eta: 8:39:55, time: 0.193, data_time: 0.007, memory: 19921, decode.loss_ce: 0.2127, decode.acc_seg: 91.2487, loss: 0.2127 +2023-03-04 01:23:39,972 - mmseg - INFO - Iter [4200/160000] lr: 1.500e-04, eta: 8:39:31, time: 0.193, data_time: 0.008, memory: 19921, decode.loss_ce: 0.2091, decode.acc_seg: 91.3643, loss: 0.2091 +2023-03-04 01:23:49,525 - mmseg - INFO - Iter [4250/160000] lr: 1.500e-04, eta: 8:39:04, time: 0.191, data_time: 0.007, memory: 19921, decode.loss_ce: 0.2106, decode.acc_seg: 91.4790, loss: 0.2106 +2023-03-04 01:23:59,143 - mmseg - INFO - Iter [4300/160000] lr: 1.500e-04, eta: 8:38:40, time: 0.192, data_time: 0.007, memory: 19921, decode.loss_ce: 0.2205, decode.acc_seg: 91.0459, loss: 0.2205 +2023-03-04 01:24:08,703 - mmseg - INFO - Iter [4350/160000] lr: 1.500e-04, eta: 8:38:15, time: 0.191, data_time: 0.007, memory: 19921, decode.loss_ce: 0.2251, decode.acc_seg: 90.8829, loss: 0.2251 +2023-03-04 01:24:18,374 - mmseg - INFO - Iter [4400/160000] lr: 1.500e-04, eta: 8:37:54, time: 0.193, data_time: 0.007, memory: 19921, decode.loss_ce: 0.2225, decode.acc_seg: 90.9671, loss: 0.2225 +2023-03-04 01:24:30,583 - mmseg - INFO - Iter [4450/160000] lr: 1.500e-04, eta: 8:39:01, time: 0.244, data_time: 0.054, memory: 19921, decode.loss_ce: 0.2168, decode.acc_seg: 91.1790, loss: 0.2168 +2023-03-04 01:24:40,149 - mmseg - INFO - Iter [4500/160000] lr: 1.500e-04, eta: 8:38:36, time: 0.191, data_time: 0.007, memory: 19921, decode.loss_ce: 0.2109, decode.acc_seg: 91.3464, loss: 0.2109 +2023-03-04 01:24:49,755 - mmseg - INFO - Iter [4550/160000] lr: 1.500e-04, eta: 8:38:12, time: 0.192, data_time: 0.007, memory: 19921, decode.loss_ce: 0.2169, decode.acc_seg: 91.1973, loss: 0.2169 +2023-03-04 01:24:59,506 - mmseg - INFO - Iter [4600/160000] lr: 1.500e-04, eta: 8:37:54, time: 0.195, data_time: 0.007, memory: 19921, decode.loss_ce: 0.2209, decode.acc_seg: 90.9085, loss: 0.2209 +2023-03-04 01:25:09,037 - mmseg - INFO - Iter [4650/160000] lr: 1.500e-04, eta: 8:37:28, time: 0.191, data_time: 0.007, memory: 19921, decode.loss_ce: 0.2071, decode.acc_seg: 91.3975, loss: 0.2071 +2023-03-04 01:25:18,513 - mmseg - INFO - Iter [4700/160000] lr: 1.500e-04, eta: 8:37:01, time: 0.190, data_time: 0.007, memory: 19921, decode.loss_ce: 0.2184, decode.acc_seg: 91.2268, loss: 0.2184 +2023-03-04 01:25:28,399 - mmseg - INFO - Iter [4750/160000] lr: 1.500e-04, eta: 8:36:48, time: 0.198, data_time: 0.007, memory: 19921, decode.loss_ce: 0.2222, decode.acc_seg: 90.9819, loss: 0.2222 +2023-03-04 01:25:38,060 - mmseg - INFO - Iter [4800/160000] lr: 1.500e-04, eta: 8:36:27, time: 0.193, data_time: 0.007, memory: 19921, decode.loss_ce: 0.2214, decode.acc_seg: 90.9085, loss: 0.2214 +2023-03-04 01:25:47,843 - mmseg - INFO - Iter [4850/160000] lr: 1.500e-04, eta: 8:36:11, time: 0.195, data_time: 0.007, memory: 19921, decode.loss_ce: 0.2272, decode.acc_seg: 90.7432, loss: 0.2272 +2023-03-04 01:25:57,449 - mmseg - INFO - Iter [4900/160000] lr: 1.500e-04, eta: 8:35:49, time: 0.192, data_time: 0.007, memory: 19921, decode.loss_ce: 0.2126, decode.acc_seg: 91.3284, loss: 0.2126 +2023-03-04 01:26:07,127 - mmseg - INFO - Iter [4950/160000] lr: 1.500e-04, eta: 8:35:30, time: 0.194, data_time: 0.007, memory: 19921, decode.loss_ce: 0.2107, decode.acc_seg: 91.3320, loss: 0.2107 +2023-03-04 01:26:16,673 - mmseg - INFO - Exp name: ablation_segformer_mit_b2_segformer_head_unet_fc_small_multi_step_ade_pretrained_freeze_embed_160k_ade20k151_finetune_ema_cos.py +2023-03-04 01:26:16,673 - mmseg - INFO - Iter [5000/160000] lr: 1.500e-04, eta: 8:35:07, time: 0.191, data_time: 0.007, memory: 19921, decode.loss_ce: 0.2227, decode.acc_seg: 91.1011, loss: 0.2227 +2023-03-04 01:26:28,760 - mmseg - INFO - Iter [5050/160000] lr: 1.500e-04, eta: 8:36:01, time: 0.242, data_time: 0.055, memory: 19921, decode.loss_ce: 0.2118, decode.acc_seg: 91.2189, loss: 0.2118 +2023-03-04 01:26:38,502 - mmseg - INFO - Iter [5100/160000] lr: 1.500e-04, eta: 8:35:44, time: 0.195, data_time: 0.007, memory: 19921, decode.loss_ce: 0.2123, decode.acc_seg: 91.3751, loss: 0.2123 +2023-03-04 01:26:48,142 - mmseg - INFO - Iter [5150/160000] lr: 1.500e-04, eta: 8:35:23, time: 0.193, data_time: 0.007, memory: 19921, decode.loss_ce: 0.2257, decode.acc_seg: 91.0465, loss: 0.2257 +2023-03-04 01:26:57,906 - mmseg - INFO - Iter [5200/160000] lr: 1.500e-04, eta: 8:35:07, time: 0.196, data_time: 0.007, memory: 19921, decode.loss_ce: 0.2139, decode.acc_seg: 91.1158, loss: 0.2139 +2023-03-04 01:27:07,596 - mmseg - INFO - Iter [5250/160000] lr: 1.500e-04, eta: 8:34:48, time: 0.194, data_time: 0.007, memory: 19921, decode.loss_ce: 0.2123, decode.acc_seg: 91.3823, loss: 0.2123 +2023-03-04 01:27:17,100 - mmseg - INFO - Iter [5300/160000] lr: 1.500e-04, eta: 8:34:24, time: 0.190, data_time: 0.007, memory: 19921, decode.loss_ce: 0.2117, decode.acc_seg: 91.4711, loss: 0.2117 +2023-03-04 01:27:26,665 - mmseg - INFO - Iter [5350/160000] lr: 1.500e-04, eta: 8:34:03, time: 0.191, data_time: 0.007, memory: 19921, decode.loss_ce: 0.2178, decode.acc_seg: 91.1313, loss: 0.2178 +2023-03-04 01:27:36,439 - mmseg - INFO - Iter [5400/160000] lr: 1.500e-04, eta: 8:33:47, time: 0.195, data_time: 0.007, memory: 19921, decode.loss_ce: 0.2205, decode.acc_seg: 90.9065, loss: 0.2205 +2023-03-04 01:27:46,131 - mmseg - INFO - Iter [5450/160000] lr: 1.500e-04, eta: 8:33:29, time: 0.194, data_time: 0.007, memory: 19921, decode.loss_ce: 0.2218, decode.acc_seg: 90.9678, loss: 0.2218 +2023-03-04 01:27:55,660 - mmseg - INFO - Iter [5500/160000] lr: 1.500e-04, eta: 8:33:07, time: 0.191, data_time: 0.007, memory: 19921, decode.loss_ce: 0.2196, decode.acc_seg: 90.9853, loss: 0.2196 +2023-03-04 01:28:05,447 - mmseg - INFO - Iter [5550/160000] lr: 1.500e-04, eta: 8:32:52, time: 0.196, data_time: 0.007, memory: 19921, decode.loss_ce: 0.2156, decode.acc_seg: 91.1218, loss: 0.2156 +2023-03-04 01:28:15,339 - mmseg - INFO - Iter [5600/160000] lr: 1.500e-04, eta: 8:32:40, time: 0.198, data_time: 0.008, memory: 19921, decode.loss_ce: 0.2101, decode.acc_seg: 91.3571, loss: 0.2101 +2023-03-04 01:28:25,163 - mmseg - INFO - Iter [5650/160000] lr: 1.500e-04, eta: 8:32:26, time: 0.197, data_time: 0.007, memory: 19921, decode.loss_ce: 0.2128, decode.acc_seg: 91.2854, loss: 0.2128 +2023-03-04 01:28:37,294 - mmseg - INFO - Iter [5700/160000] lr: 1.500e-04, eta: 8:33:15, time: 0.242, data_time: 0.057, memory: 19921, decode.loss_ce: 0.2208, decode.acc_seg: 91.1312, loss: 0.2208 +2023-03-04 01:28:47,049 - mmseg - INFO - Iter [5750/160000] lr: 1.500e-04, eta: 8:32:59, time: 0.195, data_time: 0.007, memory: 19921, decode.loss_ce: 0.2041, decode.acc_seg: 91.5778, loss: 0.2041 +2023-03-04 01:28:56,944 - mmseg - INFO - Iter [5800/160000] lr: 1.500e-04, eta: 8:32:47, time: 0.198, data_time: 0.007, memory: 19921, decode.loss_ce: 0.2170, decode.acc_seg: 91.1101, loss: 0.2170 +2023-03-04 01:29:06,679 - mmseg - INFO - Iter [5850/160000] lr: 1.500e-04, eta: 8:32:30, time: 0.195, data_time: 0.007, memory: 19921, decode.loss_ce: 0.2253, decode.acc_seg: 91.0057, loss: 0.2253 +2023-03-04 01:29:16,244 - mmseg - INFO - Iter [5900/160000] lr: 1.500e-04, eta: 8:32:10, time: 0.191, data_time: 0.007, memory: 19921, decode.loss_ce: 0.2103, decode.acc_seg: 91.4822, loss: 0.2103 +2023-03-04 01:29:25,895 - mmseg - INFO - Iter [5950/160000] lr: 1.500e-04, eta: 8:31:52, time: 0.193, data_time: 0.007, memory: 19921, decode.loss_ce: 0.2203, decode.acc_seg: 90.9447, loss: 0.2203 +2023-03-04 01:29:35,721 - mmseg - INFO - Exp name: ablation_segformer_mit_b2_segformer_head_unet_fc_small_multi_step_ade_pretrained_freeze_embed_160k_ade20k151_finetune_ema_cos.py +2023-03-04 01:29:35,721 - mmseg - INFO - Iter [6000/160000] lr: 1.500e-04, eta: 8:31:38, time: 0.197, data_time: 0.007, memory: 19921, decode.loss_ce: 0.2188, decode.acc_seg: 91.1525, loss: 0.2188 +2023-03-04 01:29:45,388 - mmseg - INFO - Iter [6050/160000] lr: 1.500e-04, eta: 8:31:20, time: 0.193, data_time: 0.007, memory: 19921, decode.loss_ce: 0.2159, decode.acc_seg: 91.4435, loss: 0.2159 +2023-03-04 01:29:55,206 - mmseg - INFO - Iter [6100/160000] lr: 1.500e-04, eta: 8:31:07, time: 0.196, data_time: 0.007, memory: 19921, decode.loss_ce: 0.2124, decode.acc_seg: 91.2287, loss: 0.2124 +2023-03-04 01:30:04,837 - mmseg - INFO - Iter [6150/160000] lr: 1.500e-04, eta: 8:30:48, time: 0.193, data_time: 0.007, memory: 19921, decode.loss_ce: 0.2195, decode.acc_seg: 91.0562, loss: 0.2195 +2023-03-04 01:30:14,612 - mmseg - INFO - Iter [6200/160000] lr: 1.500e-04, eta: 8:30:34, time: 0.195, data_time: 0.007, memory: 19921, decode.loss_ce: 0.2213, decode.acc_seg: 90.9584, loss: 0.2213 +2023-03-04 01:30:24,159 - mmseg - INFO - Iter [6250/160000] lr: 1.500e-04, eta: 8:30:13, time: 0.191, data_time: 0.007, memory: 19921, decode.loss_ce: 0.2227, decode.acc_seg: 90.8622, loss: 0.2227 +2023-03-04 01:30:34,022 - mmseg - INFO - Iter [6300/160000] lr: 1.500e-04, eta: 8:30:01, time: 0.197, data_time: 0.007, memory: 19921, decode.loss_ce: 0.2156, decode.acc_seg: 91.2157, loss: 0.2156 +2023-03-04 01:30:46,343 - mmseg - INFO - Iter [6350/160000] lr: 1.500e-04, eta: 8:30:48, time: 0.246, data_time: 0.055, memory: 19921, decode.loss_ce: 0.2094, decode.acc_seg: 91.4988, loss: 0.2094 +2023-03-04 01:30:55,955 - mmseg - INFO - Iter [6400/160000] lr: 1.500e-04, eta: 8:30:30, time: 0.193, data_time: 0.007, memory: 19921, decode.loss_ce: 0.2091, decode.acc_seg: 91.4957, loss: 0.2091 +2023-03-04 01:31:05,628 - mmseg - INFO - Iter [6450/160000] lr: 1.500e-04, eta: 8:30:13, time: 0.193, data_time: 0.007, memory: 19921, decode.loss_ce: 0.2121, decode.acc_seg: 91.2896, loss: 0.2121 +2023-03-04 01:31:15,231 - mmseg - INFO - Iter [6500/160000] lr: 1.500e-04, eta: 8:29:54, time: 0.192, data_time: 0.007, memory: 19921, decode.loss_ce: 0.2136, decode.acc_seg: 91.3607, loss: 0.2136 +2023-03-04 01:31:24,927 - mmseg - INFO - Iter [6550/160000] lr: 1.500e-04, eta: 8:29:38, time: 0.194, data_time: 0.007, memory: 19921, decode.loss_ce: 0.2253, decode.acc_seg: 90.8042, loss: 0.2253 +2023-03-04 01:31:34,462 - mmseg - INFO - Iter [6600/160000] lr: 1.500e-04, eta: 8:29:18, time: 0.191, data_time: 0.007, memory: 19921, decode.loss_ce: 0.2274, decode.acc_seg: 90.7956, loss: 0.2274 +2023-03-04 01:31:44,234 - mmseg - INFO - Iter [6650/160000] lr: 1.500e-04, eta: 8:29:04, time: 0.195, data_time: 0.007, memory: 19921, decode.loss_ce: 0.2239, decode.acc_seg: 91.0974, loss: 0.2239 +2023-03-04 01:31:53,896 - mmseg - INFO - Iter [6700/160000] lr: 1.500e-04, eta: 8:28:47, time: 0.193, data_time: 0.007, memory: 19921, decode.loss_ce: 0.2054, decode.acc_seg: 91.6028, loss: 0.2054 +2023-03-04 01:32:03,511 - mmseg - INFO - Iter [6750/160000] lr: 1.500e-04, eta: 8:28:29, time: 0.192, data_time: 0.007, memory: 19921, decode.loss_ce: 0.2177, decode.acc_seg: 91.1504, loss: 0.2177 +2023-03-04 01:32:13,325 - mmseg - INFO - Iter [6800/160000] lr: 1.500e-04, eta: 8:28:16, time: 0.196, data_time: 0.007, memory: 19921, decode.loss_ce: 0.2186, decode.acc_seg: 91.1774, loss: 0.2186 +2023-03-04 01:32:23,331 - mmseg - INFO - Iter [6850/160000] lr: 1.500e-04, eta: 8:28:07, time: 0.200, data_time: 0.007, memory: 19921, decode.loss_ce: 0.2296, decode.acc_seg: 90.8372, loss: 0.2296 +2023-03-04 01:32:33,124 - mmseg - INFO - Iter [6900/160000] lr: 1.500e-04, eta: 8:27:54, time: 0.196, data_time: 0.007, memory: 19921, decode.loss_ce: 0.2103, decode.acc_seg: 91.5411, loss: 0.2103 +2023-03-04 01:32:45,281 - mmseg - INFO - Iter [6950/160000] lr: 1.500e-04, eta: 8:28:33, time: 0.243, data_time: 0.055, memory: 19921, decode.loss_ce: 0.2114, decode.acc_seg: 91.3406, loss: 0.2114 +2023-03-04 01:32:55,050 - mmseg - INFO - Exp name: ablation_segformer_mit_b2_segformer_head_unet_fc_small_multi_step_ade_pretrained_freeze_embed_160k_ade20k151_finetune_ema_cos.py +2023-03-04 01:32:55,051 - mmseg - INFO - Iter [7000/160000] lr: 1.500e-04, eta: 8:28:18, time: 0.195, data_time: 0.007, memory: 19921, decode.loss_ce: 0.2249, decode.acc_seg: 90.8463, loss: 0.2249 +2023-03-04 01:33:04,656 - mmseg - INFO - Iter [7050/160000] lr: 1.500e-04, eta: 8:28:00, time: 0.192, data_time: 0.007, memory: 19921, decode.loss_ce: 0.2068, decode.acc_seg: 91.5760, loss: 0.2068 +2023-03-04 01:33:14,160 - mmseg - INFO - Iter [7100/160000] lr: 1.500e-04, eta: 8:27:41, time: 0.190, data_time: 0.007, memory: 19921, decode.loss_ce: 0.2123, decode.acc_seg: 91.2538, loss: 0.2123 +2023-03-04 01:33:23,876 - mmseg - INFO - Iter [7150/160000] lr: 1.500e-04, eta: 8:27:25, time: 0.194, data_time: 0.007, memory: 19921, decode.loss_ce: 0.2178, decode.acc_seg: 91.3456, loss: 0.2178 +2023-03-04 01:33:33,473 - mmseg - INFO - Iter [7200/160000] lr: 1.500e-04, eta: 8:27:08, time: 0.192, data_time: 0.007, memory: 19921, decode.loss_ce: 0.2196, decode.acc_seg: 91.0899, loss: 0.2196 +2023-03-04 01:33:42,974 - mmseg - INFO - Iter [7250/160000] lr: 1.500e-04, eta: 8:26:48, time: 0.190, data_time: 0.007, memory: 19921, decode.loss_ce: 0.2095, decode.acc_seg: 91.4136, loss: 0.2095 +2023-03-04 01:33:52,865 - mmseg - INFO - Iter [7300/160000] lr: 1.500e-04, eta: 8:26:37, time: 0.198, data_time: 0.007, memory: 19921, decode.loss_ce: 0.2259, decode.acc_seg: 90.9111, loss: 0.2259 +2023-03-04 01:34:02,776 - mmseg - INFO - Iter [7350/160000] lr: 1.500e-04, eta: 8:26:26, time: 0.198, data_time: 0.008, memory: 19921, decode.loss_ce: 0.2193, decode.acc_seg: 91.2212, loss: 0.2193 +2023-03-04 01:34:12,581 - mmseg - INFO - Iter [7400/160000] lr: 1.500e-04, eta: 8:26:13, time: 0.196, data_time: 0.007, memory: 19921, decode.loss_ce: 0.2194, decode.acc_seg: 90.8713, loss: 0.2194 +2023-03-04 01:34:22,383 - mmseg - INFO - Iter [7450/160000] lr: 1.500e-04, eta: 8:26:00, time: 0.196, data_time: 0.007, memory: 19921, decode.loss_ce: 0.2247, decode.acc_seg: 90.8662, loss: 0.2247 +2023-03-04 01:34:32,239 - mmseg - INFO - Iter [7500/160000] lr: 1.500e-04, eta: 8:25:48, time: 0.197, data_time: 0.007, memory: 19921, decode.loss_ce: 0.2132, decode.acc_seg: 91.3639, loss: 0.2132 +2023-03-04 01:34:42,065 - mmseg - INFO - Iter [7550/160000] lr: 1.500e-04, eta: 8:25:36, time: 0.197, data_time: 0.007, memory: 19921, decode.loss_ce: 0.2103, decode.acc_seg: 91.2968, loss: 0.2103 +2023-03-04 01:34:54,255 - mmseg - INFO - Iter [7600/160000] lr: 1.500e-04, eta: 8:26:11, time: 0.244, data_time: 0.055, memory: 19921, decode.loss_ce: 0.2146, decode.acc_seg: 91.3304, loss: 0.2146 +2023-03-04 01:35:03,793 - mmseg - INFO - Iter [7650/160000] lr: 1.500e-04, eta: 8:25:52, time: 0.191, data_time: 0.007, memory: 19921, decode.loss_ce: 0.2085, decode.acc_seg: 91.5209, loss: 0.2085 +2023-03-04 01:35:13,367 - mmseg - INFO - Iter [7700/160000] lr: 1.500e-04, eta: 8:25:34, time: 0.191, data_time: 0.007, memory: 19921, decode.loss_ce: 0.2106, decode.acc_seg: 91.5773, loss: 0.2106 +2023-03-04 01:35:23,625 - mmseg - INFO - Iter [7750/160000] lr: 1.500e-04, eta: 8:25:30, time: 0.205, data_time: 0.007, memory: 19921, decode.loss_ce: 0.2153, decode.acc_seg: 91.2053, loss: 0.2153 +2023-03-04 01:35:33,353 - mmseg - INFO - Iter [7800/160000] lr: 1.500e-04, eta: 8:25:16, time: 0.195, data_time: 0.007, memory: 19921, decode.loss_ce: 0.2231, decode.acc_seg: 91.0370, loss: 0.2231 +2023-03-04 01:35:43,063 - mmseg - INFO - Iter [7850/160000] lr: 1.500e-04, eta: 8:25:01, time: 0.194, data_time: 0.007, memory: 19921, decode.loss_ce: 0.1972, decode.acc_seg: 91.8868, loss: 0.1972 +2023-03-04 01:35:52,632 - mmseg - INFO - Iter [7900/160000] lr: 1.500e-04, eta: 8:24:44, time: 0.191, data_time: 0.007, memory: 19921, decode.loss_ce: 0.2165, decode.acc_seg: 91.2808, loss: 0.2165 +2023-03-04 01:36:02,415 - mmseg - INFO - Iter [7950/160000] lr: 1.500e-04, eta: 8:24:30, time: 0.196, data_time: 0.007, memory: 19921, decode.loss_ce: 0.2088, decode.acc_seg: 91.2945, loss: 0.2088 +2023-03-04 01:36:12,080 - mmseg - INFO - Exp name: ablation_segformer_mit_b2_segformer_head_unet_fc_small_multi_step_ade_pretrained_freeze_embed_160k_ade20k151_finetune_ema_cos.py +2023-03-04 01:36:12,080 - mmseg - INFO - Iter [8000/160000] lr: 1.500e-04, eta: 8:24:15, time: 0.193, data_time: 0.007, memory: 19921, decode.loss_ce: 0.2175, decode.acc_seg: 91.0566, loss: 0.2175 +2023-03-04 01:36:21,754 - mmseg - INFO - Iter [8050/160000] lr: 1.500e-04, eta: 8:24:00, time: 0.194, data_time: 0.007, memory: 19921, decode.loss_ce: 0.2116, decode.acc_seg: 91.3388, loss: 0.2116 +2023-03-04 01:36:31,631 - mmseg - INFO - Iter [8100/160000] lr: 1.500e-04, eta: 8:23:48, time: 0.198, data_time: 0.007, memory: 19921, decode.loss_ce: 0.2215, decode.acc_seg: 90.9770, loss: 0.2215 +2023-03-04 01:36:41,330 - mmseg - INFO - Iter [8150/160000] lr: 1.500e-04, eta: 8:23:34, time: 0.194, data_time: 0.007, memory: 19921, decode.loss_ce: 0.2022, decode.acc_seg: 91.7827, loss: 0.2022 +2023-03-04 01:36:51,147 - mmseg - INFO - Iter [8200/160000] lr: 1.500e-04, eta: 8:23:21, time: 0.196, data_time: 0.007, memory: 19921, decode.loss_ce: 0.2255, decode.acc_seg: 91.0373, loss: 0.2255 +2023-03-04 01:37:03,238 - mmseg - INFO - Iter [8250/160000] lr: 1.500e-04, eta: 8:23:51, time: 0.242, data_time: 0.055, memory: 19921, decode.loss_ce: 0.2201, decode.acc_seg: 91.0105, loss: 0.2201 +2023-03-04 01:37:12,758 - mmseg - INFO - Iter [8300/160000] lr: 1.500e-04, eta: 8:23:33, time: 0.190, data_time: 0.007, memory: 19921, decode.loss_ce: 0.2078, decode.acc_seg: 91.3641, loss: 0.2078 +2023-03-04 01:37:22,766 - mmseg - INFO - Iter [8350/160000] lr: 1.500e-04, eta: 8:23:24, time: 0.200, data_time: 0.007, memory: 19921, decode.loss_ce: 0.2083, decode.acc_seg: 91.5158, loss: 0.2083 +2023-03-04 01:37:32,483 - mmseg - INFO - Iter [8400/160000] lr: 1.500e-04, eta: 8:23:09, time: 0.194, data_time: 0.007, memory: 19921, decode.loss_ce: 0.2096, decode.acc_seg: 91.3526, loss: 0.2096 +2023-03-04 01:37:42,117 - mmseg - INFO - Iter [8450/160000] lr: 1.500e-04, eta: 8:22:54, time: 0.193, data_time: 0.007, memory: 19921, decode.loss_ce: 0.2071, decode.acc_seg: 91.6072, loss: 0.2071 +2023-03-04 01:37:52,071 - mmseg - INFO - Iter [8500/160000] lr: 1.500e-04, eta: 8:22:44, time: 0.199, data_time: 0.007, memory: 19921, decode.loss_ce: 0.2158, decode.acc_seg: 91.0637, loss: 0.2158 +2023-03-04 01:38:01,801 - mmseg - INFO - Iter [8550/160000] lr: 1.500e-04, eta: 8:22:30, time: 0.195, data_time: 0.007, memory: 19921, decode.loss_ce: 0.2094, decode.acc_seg: 91.3836, loss: 0.2094 +2023-03-04 01:38:11,857 - mmseg - INFO - Iter [8600/160000] lr: 1.500e-04, eta: 8:22:22, time: 0.201, data_time: 0.007, memory: 19921, decode.loss_ce: 0.2093, decode.acc_seg: 91.5397, loss: 0.2093 +2023-03-04 01:38:21,758 - mmseg - INFO - Iter [8650/160000] lr: 1.500e-04, eta: 8:22:11, time: 0.198, data_time: 0.007, memory: 19921, decode.loss_ce: 0.2106, decode.acc_seg: 91.3260, loss: 0.2106 +2023-03-04 01:38:31,391 - mmseg - INFO - Iter [8700/160000] lr: 1.500e-04, eta: 8:21:55, time: 0.193, data_time: 0.007, memory: 19921, decode.loss_ce: 0.2069, decode.acc_seg: 91.5265, loss: 0.2069 +2023-03-04 01:38:40,988 - mmseg - INFO - Iter [8750/160000] lr: 1.500e-04, eta: 8:21:39, time: 0.192, data_time: 0.007, memory: 19921, decode.loss_ce: 0.2134, decode.acc_seg: 91.2561, loss: 0.2134 +2023-03-04 01:38:50,481 - mmseg - INFO - Iter [8800/160000] lr: 1.500e-04, eta: 8:21:21, time: 0.190, data_time: 0.007, memory: 19921, decode.loss_ce: 0.2173, decode.acc_seg: 91.1445, loss: 0.2173 +2023-03-04 01:39:02,621 - mmseg - INFO - Iter [8850/160000] lr: 1.500e-04, eta: 8:21:49, time: 0.243, data_time: 0.054, memory: 19921, decode.loss_ce: 0.2156, decode.acc_seg: 91.2179, loss: 0.2156 +2023-03-04 01:39:12,259 - mmseg - INFO - Iter [8900/160000] lr: 1.500e-04, eta: 8:21:33, time: 0.193, data_time: 0.007, memory: 19921, decode.loss_ce: 0.2173, decode.acc_seg: 91.1483, loss: 0.2173 +2023-03-04 01:39:22,026 - mmseg - INFO - Iter [8950/160000] lr: 1.500e-04, eta: 8:21:20, time: 0.195, data_time: 0.007, memory: 19921, decode.loss_ce: 0.2158, decode.acc_seg: 91.2781, loss: 0.2158 +2023-03-04 01:39:31,516 - mmseg - INFO - Exp name: ablation_segformer_mit_b2_segformer_head_unet_fc_small_multi_step_ade_pretrained_freeze_embed_160k_ade20k151_finetune_ema_cos.py +2023-03-04 01:39:31,516 - mmseg - INFO - Iter [9000/160000] lr: 1.500e-04, eta: 8:21:02, time: 0.190, data_time: 0.007, memory: 19921, decode.loss_ce: 0.2203, decode.acc_seg: 90.9526, loss: 0.2203 +2023-03-04 01:39:41,238 - mmseg - INFO - Iter [9050/160000] lr: 1.500e-04, eta: 8:20:48, time: 0.194, data_time: 0.007, memory: 19921, decode.loss_ce: 0.2231, decode.acc_seg: 90.7979, loss: 0.2231 +2023-03-04 01:39:50,990 - mmseg - INFO - Iter [9100/160000] lr: 1.500e-04, eta: 8:20:35, time: 0.195, data_time: 0.007, memory: 19921, decode.loss_ce: 0.2176, decode.acc_seg: 91.2364, loss: 0.2176 +2023-03-04 01:40:00,677 - mmseg - INFO - Iter [9150/160000] lr: 1.500e-04, eta: 8:20:21, time: 0.194, data_time: 0.007, memory: 19921, decode.loss_ce: 0.2147, decode.acc_seg: 91.3017, loss: 0.2147 +2023-03-04 01:40:10,329 - mmseg - INFO - Iter [9200/160000] lr: 1.500e-04, eta: 8:20:06, time: 0.193, data_time: 0.007, memory: 19921, decode.loss_ce: 0.2087, decode.acc_seg: 91.4358, loss: 0.2087 +2023-03-04 01:40:20,017 - mmseg - INFO - Iter [9250/160000] lr: 1.500e-04, eta: 8:19:52, time: 0.194, data_time: 0.007, memory: 19921, decode.loss_ce: 0.2123, decode.acc_seg: 91.2920, loss: 0.2123 +2023-03-04 01:40:29,564 - mmseg - INFO - Iter [9300/160000] lr: 1.500e-04, eta: 8:19:35, time: 0.191, data_time: 0.007, memory: 19921, decode.loss_ce: 0.2125, decode.acc_seg: 91.4011, loss: 0.2125 +2023-03-04 01:40:39,122 - mmseg - INFO - Iter [9350/160000] lr: 1.500e-04, eta: 8:19:19, time: 0.191, data_time: 0.007, memory: 19921, decode.loss_ce: 0.2171, decode.acc_seg: 91.1359, loss: 0.2171 +2023-03-04 01:40:48,782 - mmseg - INFO - Iter [9400/160000] lr: 1.500e-04, eta: 8:19:05, time: 0.194, data_time: 0.007, memory: 19921, decode.loss_ce: 0.2070, decode.acc_seg: 91.4037, loss: 0.2070 +2023-03-04 01:40:58,588 - mmseg - INFO - Iter [9450/160000] lr: 1.500e-04, eta: 8:18:52, time: 0.196, data_time: 0.007, memory: 19921, decode.loss_ce: 0.2131, decode.acc_seg: 91.3610, loss: 0.2131 +2023-03-04 01:41:10,680 - mmseg - INFO - Iter [9500/160000] lr: 1.500e-04, eta: 8:19:17, time: 0.242, data_time: 0.058, memory: 19921, decode.loss_ce: 0.2191, decode.acc_seg: 91.0403, loss: 0.2191 +2023-03-04 01:41:20,285 - mmseg - INFO - Iter [9550/160000] lr: 1.500e-04, eta: 8:19:01, time: 0.192, data_time: 0.007, memory: 19921, decode.loss_ce: 0.2164, decode.acc_seg: 91.2119, loss: 0.2164 +2023-03-04 01:41:29,934 - mmseg - INFO - Iter [9600/160000] lr: 1.500e-04, eta: 8:18:46, time: 0.193, data_time: 0.007, memory: 19921, decode.loss_ce: 0.2071, decode.acc_seg: 91.4101, loss: 0.2071 +2023-03-04 01:41:39,783 - mmseg - INFO - Iter [9650/160000] lr: 1.500e-04, eta: 8:18:35, time: 0.197, data_time: 0.007, memory: 19921, decode.loss_ce: 0.2137, decode.acc_seg: 91.2199, loss: 0.2137 +2023-03-04 01:41:49,551 - mmseg - INFO - Iter [9700/160000] lr: 1.500e-04, eta: 8:18:22, time: 0.195, data_time: 0.007, memory: 19921, decode.loss_ce: 0.2099, decode.acc_seg: 91.4393, loss: 0.2099 +2023-03-04 01:41:59,256 - mmseg - INFO - Iter [9750/160000] lr: 1.500e-04, eta: 8:18:09, time: 0.194, data_time: 0.007, memory: 19921, decode.loss_ce: 0.2137, decode.acc_seg: 91.2708, loss: 0.2137 +2023-03-04 01:42:08,759 - mmseg - INFO - Iter [9800/160000] lr: 1.500e-04, eta: 8:17:52, time: 0.190, data_time: 0.007, memory: 19921, decode.loss_ce: 0.2155, decode.acc_seg: 91.3602, loss: 0.2155 +2023-03-04 01:42:18,484 - mmseg - INFO - Iter [9850/160000] lr: 1.500e-04, eta: 8:17:38, time: 0.194, data_time: 0.007, memory: 19921, decode.loss_ce: 0.2242, decode.acc_seg: 90.9811, loss: 0.2242 +2023-03-04 01:42:28,055 - mmseg - INFO - Iter [9900/160000] lr: 1.500e-04, eta: 8:17:23, time: 0.191, data_time: 0.007, memory: 19921, decode.loss_ce: 0.2112, decode.acc_seg: 91.4329, loss: 0.2112 +2023-03-04 01:42:37,749 - mmseg - INFO - Iter [9950/160000] lr: 1.500e-04, eta: 8:17:09, time: 0.194, data_time: 0.007, memory: 19921, decode.loss_ce: 0.2143, decode.acc_seg: 91.2705, loss: 0.2143 +2023-03-04 01:42:47,478 - mmseg - INFO - Exp name: ablation_segformer_mit_b2_segformer_head_unet_fc_small_multi_step_ade_pretrained_freeze_embed_160k_ade20k151_finetune_ema_cos.py +2023-03-04 01:42:47,478 - mmseg - INFO - Iter [10000/160000] lr: 1.500e-04, eta: 8:16:56, time: 0.195, data_time: 0.007, memory: 19921, decode.loss_ce: 0.2118, decode.acc_seg: 91.2946, loss: 0.2118 +2023-03-04 01:42:57,099 - mmseg - INFO - Iter [10050/160000] lr: 1.500e-04, eta: 8:16:41, time: 0.192, data_time: 0.007, memory: 19921, decode.loss_ce: 0.2178, decode.acc_seg: 91.0826, loss: 0.2178 +2023-03-04 01:43:09,233 - mmseg - INFO - Iter [10100/160000] lr: 1.500e-04, eta: 8:17:04, time: 0.242, data_time: 0.055, memory: 19921, decode.loss_ce: 0.2168, decode.acc_seg: 91.1941, loss: 0.2168 +2023-03-04 01:43:18,939 - mmseg - INFO - Iter [10150/160000] lr: 1.500e-04, eta: 8:16:51, time: 0.194, data_time: 0.007, memory: 19921, decode.loss_ce: 0.2131, decode.acc_seg: 91.1521, loss: 0.2131 +2023-03-04 01:43:28,599 - mmseg - INFO - Iter [10200/160000] lr: 1.500e-04, eta: 8:16:36, time: 0.193, data_time: 0.007, memory: 19921, decode.loss_ce: 0.2174, decode.acc_seg: 91.2092, loss: 0.2174 +2023-03-04 01:43:38,438 - mmseg - INFO - Iter [10250/160000] lr: 1.500e-04, eta: 8:16:25, time: 0.197, data_time: 0.007, memory: 19921, decode.loss_ce: 0.2098, decode.acc_seg: 91.4636, loss: 0.2098 +2023-03-04 01:43:48,351 - mmseg - INFO - Iter [10300/160000] lr: 1.500e-04, eta: 8:16:14, time: 0.198, data_time: 0.007, memory: 19921, decode.loss_ce: 0.2157, decode.acc_seg: 91.2071, loss: 0.2157 +2023-03-04 01:43:58,020 - mmseg - INFO - Iter [10350/160000] lr: 1.500e-04, eta: 8:16:01, time: 0.193, data_time: 0.007, memory: 19921, decode.loss_ce: 0.2113, decode.acc_seg: 91.3984, loss: 0.2113 +2023-03-04 01:44:07,614 - mmseg - INFO - Iter [10400/160000] lr: 1.500e-04, eta: 8:15:46, time: 0.192, data_time: 0.007, memory: 19921, decode.loss_ce: 0.2049, decode.acc_seg: 91.7597, loss: 0.2049 +2023-03-04 01:44:17,202 - mmseg - INFO - Iter [10450/160000] lr: 1.500e-04, eta: 8:15:31, time: 0.192, data_time: 0.007, memory: 19921, decode.loss_ce: 0.2229, decode.acc_seg: 90.9942, loss: 0.2229 +2023-03-04 01:44:26,733 - mmseg - INFO - Iter [10500/160000] lr: 1.500e-04, eta: 8:15:15, time: 0.191, data_time: 0.007, memory: 19921, decode.loss_ce: 0.2294, decode.acc_seg: 90.7601, loss: 0.2294 +2023-03-04 01:44:36,250 - mmseg - INFO - Iter [10550/160000] lr: 1.500e-04, eta: 8:14:59, time: 0.190, data_time: 0.007, memory: 19921, decode.loss_ce: 0.2131, decode.acc_seg: 91.1712, loss: 0.2131 +2023-03-04 01:44:45,899 - mmseg - INFO - Iter [10600/160000] lr: 1.500e-04, eta: 8:14:45, time: 0.193, data_time: 0.007, memory: 19921, decode.loss_ce: 0.2040, decode.acc_seg: 91.6614, loss: 0.2040 +2023-03-04 01:44:55,448 - mmseg - INFO - Iter [10650/160000] lr: 1.500e-04, eta: 8:14:30, time: 0.191, data_time: 0.007, memory: 19921, decode.loss_ce: 0.2115, decode.acc_seg: 91.2341, loss: 0.2115 +2023-03-04 01:45:05,021 - mmseg - INFO - Iter [10700/160000] lr: 1.500e-04, eta: 8:14:15, time: 0.191, data_time: 0.007, memory: 19921, decode.loss_ce: 0.2199, decode.acc_seg: 91.1222, loss: 0.2199 +2023-03-04 01:45:17,182 - mmseg - INFO - Iter [10750/160000] lr: 1.500e-04, eta: 8:14:36, time: 0.243, data_time: 0.055, memory: 19921, decode.loss_ce: 0.2006, decode.acc_seg: 91.5759, loss: 0.2006 +2023-03-04 01:45:26,695 - mmseg - INFO - Iter [10800/160000] lr: 1.500e-04, eta: 8:14:20, time: 0.190, data_time: 0.007, memory: 19921, decode.loss_ce: 0.2131, decode.acc_seg: 91.2381, loss: 0.2131 +2023-03-04 01:45:36,222 - mmseg - INFO - Iter [10850/160000] lr: 1.500e-04, eta: 8:14:04, time: 0.191, data_time: 0.007, memory: 19921, decode.loss_ce: 0.2212, decode.acc_seg: 90.9251, loss: 0.2212 +2023-03-04 01:45:45,894 - mmseg - INFO - Iter [10900/160000] lr: 1.500e-04, eta: 8:13:51, time: 0.193, data_time: 0.007, memory: 19921, decode.loss_ce: 0.2183, decode.acc_seg: 91.2031, loss: 0.2183 +2023-03-04 01:45:55,644 - mmseg - INFO - Iter [10950/160000] lr: 1.500e-04, eta: 8:13:38, time: 0.195, data_time: 0.007, memory: 19921, decode.loss_ce: 0.2103, decode.acc_seg: 91.4493, loss: 0.2103 +2023-03-04 01:46:05,701 - mmseg - INFO - Exp name: ablation_segformer_mit_b2_segformer_head_unet_fc_small_multi_step_ade_pretrained_freeze_embed_160k_ade20k151_finetune_ema_cos.py +2023-03-04 01:46:05,701 - mmseg - INFO - Iter [11000/160000] lr: 1.500e-04, eta: 8:13:30, time: 0.201, data_time: 0.007, memory: 19921, decode.loss_ce: 0.2107, decode.acc_seg: 91.4376, loss: 0.2107 +2023-03-04 01:46:15,306 - mmseg - INFO - Iter [11050/160000] lr: 1.500e-04, eta: 8:13:15, time: 0.192, data_time: 0.007, memory: 19921, decode.loss_ce: 0.2131, decode.acc_seg: 91.2011, loss: 0.2131 +2023-03-04 01:46:25,124 - mmseg - INFO - Iter [11100/160000] lr: 1.500e-04, eta: 8:13:04, time: 0.196, data_time: 0.007, memory: 19921, decode.loss_ce: 0.2150, decode.acc_seg: 91.1307, loss: 0.2150 +2023-03-04 01:46:34,803 - mmseg - INFO - Iter [11150/160000] lr: 1.500e-04, eta: 8:12:50, time: 0.194, data_time: 0.007, memory: 19921, decode.loss_ce: 0.2280, decode.acc_seg: 90.8532, loss: 0.2280 +2023-03-04 01:46:44,480 - mmseg - INFO - Iter [11200/160000] lr: 1.500e-04, eta: 8:12:37, time: 0.194, data_time: 0.007, memory: 19921, decode.loss_ce: 0.2110, decode.acc_seg: 91.4299, loss: 0.2110 +2023-03-04 01:46:54,608 - mmseg - INFO - Iter [11250/160000] lr: 1.500e-04, eta: 8:12:30, time: 0.202, data_time: 0.007, memory: 19921, decode.loss_ce: 0.2207, decode.acc_seg: 91.0361, loss: 0.2207 +2023-03-04 01:47:04,408 - mmseg - INFO - Iter [11300/160000] lr: 1.500e-04, eta: 8:12:18, time: 0.196, data_time: 0.007, memory: 19921, decode.loss_ce: 0.2183, decode.acc_seg: 91.0375, loss: 0.2183 +2023-03-04 01:47:14,376 - mmseg - INFO - Iter [11350/160000] lr: 1.500e-04, eta: 8:12:09, time: 0.199, data_time: 0.008, memory: 19921, decode.loss_ce: 0.2089, decode.acc_seg: 91.3163, loss: 0.2089 +2023-03-04 01:47:26,591 - mmseg - INFO - Iter [11400/160000] lr: 1.500e-04, eta: 8:12:28, time: 0.244, data_time: 0.054, memory: 19921, decode.loss_ce: 0.2144, decode.acc_seg: 91.2030, loss: 0.2144 +2023-03-04 01:47:36,215 - mmseg - INFO - Iter [11450/160000] lr: 1.500e-04, eta: 8:12:14, time: 0.192, data_time: 0.007, memory: 19921, decode.loss_ce: 0.2096, decode.acc_seg: 91.5387, loss: 0.2096 +2023-03-04 01:47:45,760 - mmseg - INFO - Iter [11500/160000] lr: 1.500e-04, eta: 8:11:59, time: 0.191, data_time: 0.007, memory: 19921, decode.loss_ce: 0.2088, decode.acc_seg: 91.4100, loss: 0.2088 +2023-03-04 01:47:55,300 - mmseg - INFO - Iter [11550/160000] lr: 1.500e-04, eta: 8:11:44, time: 0.191, data_time: 0.007, memory: 19921, decode.loss_ce: 0.2207, decode.acc_seg: 90.8457, loss: 0.2207 +2023-03-04 01:48:05,199 - mmseg - INFO - Iter [11600/160000] lr: 1.500e-04, eta: 8:11:34, time: 0.198, data_time: 0.007, memory: 19921, decode.loss_ce: 0.2196, decode.acc_seg: 91.1038, loss: 0.2196 +2023-03-04 01:48:14,691 - mmseg - INFO - Iter [11650/160000] lr: 1.500e-04, eta: 8:11:18, time: 0.190, data_time: 0.007, memory: 19921, decode.loss_ce: 0.2159, decode.acc_seg: 91.2972, loss: 0.2159 +2023-03-04 01:48:24,242 - mmseg - INFO - Iter [11700/160000] lr: 1.500e-04, eta: 8:11:03, time: 0.191, data_time: 0.007, memory: 19921, decode.loss_ce: 0.2116, decode.acc_seg: 91.2662, loss: 0.2116 +2023-03-04 01:48:33,755 - mmseg - INFO - Iter [11750/160000] lr: 1.500e-04, eta: 8:10:48, time: 0.190, data_time: 0.007, memory: 19921, decode.loss_ce: 0.2160, decode.acc_seg: 91.0370, loss: 0.2160 +2023-03-04 01:48:43,606 - mmseg - INFO - Iter [11800/160000] lr: 1.500e-04, eta: 8:10:37, time: 0.197, data_time: 0.008, memory: 19921, decode.loss_ce: 0.2157, decode.acc_seg: 91.2354, loss: 0.2157 +2023-03-04 01:48:53,276 - mmseg - INFO - Iter [11850/160000] lr: 1.500e-04, eta: 8:10:24, time: 0.193, data_time: 0.007, memory: 19921, decode.loss_ce: 0.2091, decode.acc_seg: 91.2940, loss: 0.2091 +2023-03-04 01:49:02,783 - mmseg - INFO - Iter [11900/160000] lr: 1.500e-04, eta: 8:10:09, time: 0.190, data_time: 0.007, memory: 19921, decode.loss_ce: 0.2065, decode.acc_seg: 91.5185, loss: 0.2065 +2023-03-04 01:49:12,391 - mmseg - INFO - Iter [11950/160000] lr: 1.500e-04, eta: 8:09:55, time: 0.192, data_time: 0.007, memory: 19921, decode.loss_ce: 0.2226, decode.acc_seg: 90.8620, loss: 0.2226 +2023-03-04 01:49:24,434 - mmseg - INFO - Exp name: ablation_segformer_mit_b2_segformer_head_unet_fc_small_multi_step_ade_pretrained_freeze_embed_160k_ade20k151_finetune_ema_cos.py +2023-03-04 01:49:24,434 - mmseg - INFO - Iter [12000/160000] lr: 1.500e-04, eta: 8:10:11, time: 0.241, data_time: 0.057, memory: 19921, decode.loss_ce: 0.2224, decode.acc_seg: 90.9503, loss: 0.2224 +2023-03-04 01:49:33,920 - mmseg - INFO - Iter [12050/160000] lr: 1.500e-04, eta: 8:09:56, time: 0.190, data_time: 0.007, memory: 19921, decode.loss_ce: 0.2199, decode.acc_seg: 91.0879, loss: 0.2199 +2023-03-04 01:49:43,638 - mmseg - INFO - Iter [12100/160000] lr: 1.500e-04, eta: 8:09:43, time: 0.194, data_time: 0.007, memory: 19921, decode.loss_ce: 0.2154, decode.acc_seg: 91.2407, loss: 0.2154 +2023-03-04 01:49:53,409 - mmseg - INFO - Iter [12150/160000] lr: 1.500e-04, eta: 8:09:31, time: 0.195, data_time: 0.007, memory: 19921, decode.loss_ce: 0.2066, decode.acc_seg: 91.6150, loss: 0.2066 +2023-03-04 01:50:02,897 - mmseg - INFO - Iter [12200/160000] lr: 1.500e-04, eta: 8:09:16, time: 0.190, data_time: 0.007, memory: 19921, decode.loss_ce: 0.2104, decode.acc_seg: 91.4517, loss: 0.2104 +2023-03-04 01:50:12,695 - mmseg - INFO - Iter [12250/160000] lr: 1.500e-04, eta: 8:09:04, time: 0.196, data_time: 0.007, memory: 19921, decode.loss_ce: 0.2163, decode.acc_seg: 91.0848, loss: 0.2163 +2023-03-04 01:50:22,326 - mmseg - INFO - Iter [12300/160000] lr: 1.500e-04, eta: 8:08:51, time: 0.193, data_time: 0.007, memory: 19921, decode.loss_ce: 0.2160, decode.acc_seg: 91.1300, loss: 0.2160 +2023-03-04 01:50:31,955 - mmseg - INFO - Iter [12350/160000] lr: 1.500e-04, eta: 8:08:37, time: 0.193, data_time: 0.007, memory: 19921, decode.loss_ce: 0.2176, decode.acc_seg: 91.1658, loss: 0.2176 +2023-03-04 01:50:41,720 - mmseg - INFO - Iter [12400/160000] lr: 1.500e-04, eta: 8:08:25, time: 0.195, data_time: 0.007, memory: 19921, decode.loss_ce: 0.2092, decode.acc_seg: 91.3927, loss: 0.2092 +2023-03-04 01:50:51,343 - mmseg - INFO - Iter [12450/160000] lr: 1.500e-04, eta: 8:08:12, time: 0.192, data_time: 0.008, memory: 19921, decode.loss_ce: 0.2092, decode.acc_seg: 91.5161, loss: 0.2092 +2023-03-04 01:51:00,880 - mmseg - INFO - Iter [12500/160000] lr: 1.500e-04, eta: 8:07:57, time: 0.191, data_time: 0.007, memory: 19921, decode.loss_ce: 0.2154, decode.acc_seg: 91.1747, loss: 0.2154 +2023-03-04 01:51:10,646 - mmseg - INFO - Iter [12550/160000] lr: 1.500e-04, eta: 8:07:45, time: 0.195, data_time: 0.007, memory: 19921, decode.loss_ce: 0.2160, decode.acc_seg: 91.1539, loss: 0.2160 +2023-03-04 01:51:20,489 - mmseg - INFO - Iter [12600/160000] lr: 1.500e-04, eta: 8:07:35, time: 0.197, data_time: 0.007, memory: 19921, decode.loss_ce: 0.2172, decode.acc_seg: 91.2647, loss: 0.2172 +2023-03-04 01:51:32,497 - mmseg - INFO - Iter [12650/160000] lr: 1.500e-04, eta: 8:07:49, time: 0.240, data_time: 0.057, memory: 19921, decode.loss_ce: 0.2133, decode.acc_seg: 91.4402, loss: 0.2133 +2023-03-04 01:51:42,160 - mmseg - INFO - Iter [12700/160000] lr: 1.500e-04, eta: 8:07:36, time: 0.193, data_time: 0.007, memory: 19921, decode.loss_ce: 0.2167, decode.acc_seg: 90.9939, loss: 0.2167 +2023-03-04 01:51:51,652 - mmseg - INFO - Iter [12750/160000] lr: 1.500e-04, eta: 8:07:21, time: 0.190, data_time: 0.007, memory: 19921, decode.loss_ce: 0.2091, decode.acc_seg: 91.6137, loss: 0.2091 +2023-03-04 01:52:01,370 - mmseg - INFO - Iter [12800/160000] lr: 1.500e-04, eta: 8:07:08, time: 0.194, data_time: 0.007, memory: 19921, decode.loss_ce: 0.2183, decode.acc_seg: 91.0617, loss: 0.2183 +2023-03-04 01:52:10,949 - mmseg - INFO - Iter [12850/160000] lr: 1.500e-04, eta: 8:06:55, time: 0.192, data_time: 0.007, memory: 19921, decode.loss_ce: 0.2196, decode.acc_seg: 91.0410, loss: 0.2196 +2023-03-04 01:52:20,619 - mmseg - INFO - Iter [12900/160000] lr: 1.500e-04, eta: 8:06:42, time: 0.193, data_time: 0.007, memory: 19921, decode.loss_ce: 0.2198, decode.acc_seg: 91.2267, loss: 0.2198 +2023-03-04 01:52:30,545 - mmseg - INFO - Iter [12950/160000] lr: 1.500e-04, eta: 8:06:32, time: 0.199, data_time: 0.007, memory: 19921, decode.loss_ce: 0.2114, decode.acc_seg: 91.3758, loss: 0.2114 +2023-03-04 01:52:40,132 - mmseg - INFO - Exp name: ablation_segformer_mit_b2_segformer_head_unet_fc_small_multi_step_ade_pretrained_freeze_embed_160k_ade20k151_finetune_ema_cos.py +2023-03-04 01:52:40,132 - mmseg - INFO - Iter [13000/160000] lr: 1.500e-04, eta: 8:06:18, time: 0.192, data_time: 0.007, memory: 19921, decode.loss_ce: 0.2186, decode.acc_seg: 91.1393, loss: 0.2186 +2023-03-04 01:52:49,762 - mmseg - INFO - Iter [13050/160000] lr: 1.500e-04, eta: 8:06:05, time: 0.193, data_time: 0.007, memory: 19921, decode.loss_ce: 0.2026, decode.acc_seg: 91.7495, loss: 0.2026 +2023-03-04 01:52:59,428 - mmseg - INFO - Iter [13100/160000] lr: 1.500e-04, eta: 8:05:52, time: 0.193, data_time: 0.007, memory: 19921, decode.loss_ce: 0.2087, decode.acc_seg: 91.3808, loss: 0.2087 +2023-03-04 01:53:09,126 - mmseg - INFO - Iter [13150/160000] lr: 1.500e-04, eta: 8:05:39, time: 0.194, data_time: 0.007, memory: 19921, decode.loss_ce: 0.2150, decode.acc_seg: 91.3809, loss: 0.2150 +2023-03-04 01:53:18,674 - mmseg - INFO - Iter [13200/160000] lr: 1.500e-04, eta: 8:05:25, time: 0.191, data_time: 0.007, memory: 19921, decode.loss_ce: 0.2142, decode.acc_seg: 91.2344, loss: 0.2142 +2023-03-04 01:53:28,232 - mmseg - INFO - Iter [13250/160000] lr: 1.500e-04, eta: 8:05:11, time: 0.191, data_time: 0.007, memory: 19921, decode.loss_ce: 0.2103, decode.acc_seg: 91.4534, loss: 0.2103 +2023-03-04 01:53:40,337 - mmseg - INFO - Iter [13300/160000] lr: 1.500e-04, eta: 8:05:26, time: 0.242, data_time: 0.057, memory: 19921, decode.loss_ce: 0.2170, decode.acc_seg: 91.1523, loss: 0.2170 +2023-03-04 01:53:49,950 - mmseg - INFO - Iter [13350/160000] lr: 1.500e-04, eta: 8:05:12, time: 0.192, data_time: 0.007, memory: 19921, decode.loss_ce: 0.2138, decode.acc_seg: 91.2362, loss: 0.2138 +2023-03-04 01:53:59,532 - mmseg - INFO - Iter [13400/160000] lr: 1.500e-04, eta: 8:04:59, time: 0.192, data_time: 0.007, memory: 19921, decode.loss_ce: 0.2110, decode.acc_seg: 91.3915, loss: 0.2110 +2023-03-04 01:54:09,083 - mmseg - INFO - Iter [13450/160000] lr: 1.500e-04, eta: 8:04:45, time: 0.191, data_time: 0.007, memory: 19921, decode.loss_ce: 0.2121, decode.acc_seg: 91.4398, loss: 0.2121 +2023-03-04 01:54:18,729 - mmseg - INFO - Iter [13500/160000] lr: 1.500e-04, eta: 8:04:32, time: 0.193, data_time: 0.007, memory: 19921, decode.loss_ce: 0.2132, decode.acc_seg: 91.1391, loss: 0.2132 +2023-03-04 01:54:28,355 - mmseg - INFO - Iter [13550/160000] lr: 1.500e-04, eta: 8:04:19, time: 0.193, data_time: 0.007, memory: 19921, decode.loss_ce: 0.2049, decode.acc_seg: 91.5842, loss: 0.2049 +2023-03-04 01:54:37,830 - mmseg - INFO - Iter [13600/160000] lr: 1.500e-04, eta: 8:04:04, time: 0.190, data_time: 0.007, memory: 19921, decode.loss_ce: 0.2118, decode.acc_seg: 91.3598, loss: 0.2118 +2023-03-04 01:54:47,592 - mmseg - INFO - Iter [13650/160000] lr: 1.500e-04, eta: 8:03:52, time: 0.195, data_time: 0.007, memory: 19921, decode.loss_ce: 0.2215, decode.acc_seg: 91.0140, loss: 0.2215 +2023-03-04 01:54:57,081 - mmseg - INFO - Iter [13700/160000] lr: 1.500e-04, eta: 8:03:38, time: 0.190, data_time: 0.007, memory: 19921, decode.loss_ce: 0.2162, decode.acc_seg: 91.1835, loss: 0.2162 +2023-03-04 01:55:06,663 - mmseg - INFO - Iter [13750/160000] lr: 1.500e-04, eta: 8:03:24, time: 0.192, data_time: 0.007, memory: 19921, decode.loss_ce: 0.2151, decode.acc_seg: 91.3187, loss: 0.2151 +2023-03-04 01:55:16,295 - mmseg - INFO - Iter [13800/160000] lr: 1.500e-04, eta: 8:03:11, time: 0.193, data_time: 0.007, memory: 19921, decode.loss_ce: 0.2209, decode.acc_seg: 91.0862, loss: 0.2209 +2023-03-04 01:55:26,196 - mmseg - INFO - Iter [13850/160000] lr: 1.500e-04, eta: 8:03:01, time: 0.198, data_time: 0.007, memory: 19921, decode.loss_ce: 0.2068, decode.acc_seg: 91.5337, loss: 0.2068 +2023-03-04 01:55:38,581 - mmseg - INFO - Iter [13900/160000] lr: 1.500e-04, eta: 8:03:17, time: 0.248, data_time: 0.051, memory: 19921, decode.loss_ce: 0.2141, decode.acc_seg: 91.1832, loss: 0.2141 +2023-03-04 01:55:48,194 - mmseg - INFO - Iter [13950/160000] lr: 1.500e-04, eta: 8:03:04, time: 0.192, data_time: 0.007, memory: 19921, decode.loss_ce: 0.2057, decode.acc_seg: 91.6274, loss: 0.2057 +2023-03-04 01:55:58,007 - mmseg - INFO - Exp name: ablation_segformer_mit_b2_segformer_head_unet_fc_small_multi_step_ade_pretrained_freeze_embed_160k_ade20k151_finetune_ema_cos.py +2023-03-04 01:55:58,008 - mmseg - INFO - Iter [14000/160000] lr: 1.500e-04, eta: 8:02:53, time: 0.196, data_time: 0.007, memory: 19921, decode.loss_ce: 0.2197, decode.acc_seg: 91.0825, loss: 0.2197 +2023-03-04 01:56:07,558 - mmseg - INFO - Iter [14050/160000] lr: 1.500e-04, eta: 8:02:39, time: 0.191, data_time: 0.007, memory: 19921, decode.loss_ce: 0.2134, decode.acc_seg: 91.2930, loss: 0.2134 +2023-03-04 01:56:17,045 - mmseg - INFO - Iter [14100/160000] lr: 1.500e-04, eta: 8:02:25, time: 0.190, data_time: 0.007, memory: 19921, decode.loss_ce: 0.2015, decode.acc_seg: 91.7661, loss: 0.2015 +2023-03-04 01:56:26,613 - mmseg - INFO - Iter [14150/160000] lr: 1.500e-04, eta: 8:02:11, time: 0.191, data_time: 0.007, memory: 19921, decode.loss_ce: 0.2139, decode.acc_seg: 91.1861, loss: 0.2139 +2023-03-04 01:56:36,203 - mmseg - INFO - Iter [14200/160000] lr: 1.500e-04, eta: 8:01:58, time: 0.192, data_time: 0.007, memory: 19921, decode.loss_ce: 0.2164, decode.acc_seg: 91.2984, loss: 0.2164 +2023-03-04 01:56:45,690 - mmseg - INFO - Iter [14250/160000] lr: 1.500e-04, eta: 8:01:44, time: 0.190, data_time: 0.007, memory: 19921, decode.loss_ce: 0.2224, decode.acc_seg: 90.9683, loss: 0.2224 +2023-03-04 01:56:55,434 - mmseg - INFO - Iter [14300/160000] lr: 1.500e-04, eta: 8:01:32, time: 0.195, data_time: 0.007, memory: 19921, decode.loss_ce: 0.2085, decode.acc_seg: 91.4623, loss: 0.2085 +2023-03-04 01:57:05,373 - mmseg - INFO - Iter [14350/160000] lr: 1.500e-04, eta: 8:01:22, time: 0.199, data_time: 0.007, memory: 19921, decode.loss_ce: 0.2115, decode.acc_seg: 91.3397, loss: 0.2115 +2023-03-04 01:57:15,306 - mmseg - INFO - Iter [14400/160000] lr: 1.500e-04, eta: 8:01:13, time: 0.199, data_time: 0.007, memory: 19921, decode.loss_ce: 0.2142, decode.acc_seg: 91.3538, loss: 0.2142 +2023-03-04 01:57:25,086 - mmseg - INFO - Iter [14450/160000] lr: 1.500e-04, eta: 8:01:01, time: 0.196, data_time: 0.007, memory: 19921, decode.loss_ce: 0.2066, decode.acc_seg: 91.5747, loss: 0.2066 +2023-03-04 01:57:34,799 - mmseg - INFO - Iter [14500/160000] lr: 1.500e-04, eta: 8:00:49, time: 0.194, data_time: 0.007, memory: 19921, decode.loss_ce: 0.2219, decode.acc_seg: 90.9801, loss: 0.2219 +2023-03-04 01:57:46,762 - mmseg - INFO - Iter [14550/160000] lr: 1.500e-04, eta: 8:01:00, time: 0.239, data_time: 0.053, memory: 19921, decode.loss_ce: 0.2158, decode.acc_seg: 91.2211, loss: 0.2158 +2023-03-04 01:57:56,267 - mmseg - INFO - Iter [14600/160000] lr: 1.500e-04, eta: 8:00:46, time: 0.190, data_time: 0.007, memory: 19921, decode.loss_ce: 0.2073, decode.acc_seg: 91.4577, loss: 0.2073 +2023-03-04 01:58:06,020 - mmseg - INFO - Iter [14650/160000] lr: 1.500e-04, eta: 8:00:34, time: 0.195, data_time: 0.008, memory: 19921, decode.loss_ce: 0.2104, decode.acc_seg: 91.4835, loss: 0.2104 +2023-03-04 01:58:15,647 - mmseg - INFO - Iter [14700/160000] lr: 1.500e-04, eta: 8:00:21, time: 0.193, data_time: 0.007, memory: 19921, decode.loss_ce: 0.2083, decode.acc_seg: 91.4373, loss: 0.2083 +2023-03-04 01:58:25,223 - mmseg - INFO - Iter [14750/160000] lr: 1.500e-04, eta: 8:00:08, time: 0.192, data_time: 0.007, memory: 19921, decode.loss_ce: 0.2052, decode.acc_seg: 91.5850, loss: 0.2052 +2023-03-04 01:58:34,748 - mmseg - INFO - Iter [14800/160000] lr: 1.500e-04, eta: 7:59:54, time: 0.191, data_time: 0.007, memory: 19921, decode.loss_ce: 0.2123, decode.acc_seg: 91.2951, loss: 0.2123 +2023-03-04 01:58:44,217 - mmseg - INFO - Iter [14850/160000] lr: 1.500e-04, eta: 7:59:40, time: 0.189, data_time: 0.007, memory: 19921, decode.loss_ce: 0.2161, decode.acc_seg: 91.4590, loss: 0.2161 +2023-03-04 01:58:53,913 - mmseg - INFO - Iter [14900/160000] lr: 1.500e-04, eta: 7:59:28, time: 0.194, data_time: 0.008, memory: 19921, decode.loss_ce: 0.2167, decode.acc_seg: 90.9780, loss: 0.2167 +2023-03-04 01:59:03,388 - mmseg - INFO - Iter [14950/160000] lr: 1.500e-04, eta: 7:59:14, time: 0.189, data_time: 0.007, memory: 19921, decode.loss_ce: 0.2045, decode.acc_seg: 91.5302, loss: 0.2045 +2023-03-04 01:59:12,884 - mmseg - INFO - Exp name: ablation_segformer_mit_b2_segformer_head_unet_fc_small_multi_step_ade_pretrained_freeze_embed_160k_ade20k151_finetune_ema_cos.py +2023-03-04 01:59:12,884 - mmseg - INFO - Iter [15000/160000] lr: 1.500e-04, eta: 7:59:00, time: 0.190, data_time: 0.007, memory: 19921, decode.loss_ce: 0.2204, decode.acc_seg: 91.1137, loss: 0.2204 +2023-03-04 01:59:22,390 - mmseg - INFO - Iter [15050/160000] lr: 1.500e-04, eta: 7:58:46, time: 0.190, data_time: 0.007, memory: 19921, decode.loss_ce: 0.2044, decode.acc_seg: 91.5684, loss: 0.2044 +2023-03-04 01:59:31,874 - mmseg - INFO - Iter [15100/160000] lr: 1.500e-04, eta: 7:58:32, time: 0.190, data_time: 0.007, memory: 19921, decode.loss_ce: 0.2142, decode.acc_seg: 91.2719, loss: 0.2142 +2023-03-04 01:59:43,895 - mmseg - INFO - Iter [15150/160000] lr: 1.500e-04, eta: 7:58:42, time: 0.240, data_time: 0.055, memory: 19921, decode.loss_ce: 0.2099, decode.acc_seg: 91.5718, loss: 0.2099 +2023-03-04 01:59:53,492 - mmseg - INFO - Iter [15200/160000] lr: 1.500e-04, eta: 7:58:29, time: 0.192, data_time: 0.007, memory: 19921, decode.loss_ce: 0.2016, decode.acc_seg: 91.7048, loss: 0.2016 +2023-03-04 02:00:03,233 - mmseg - INFO - Iter [15250/160000] lr: 1.500e-04, eta: 7:58:18, time: 0.195, data_time: 0.007, memory: 19921, decode.loss_ce: 0.2138, decode.acc_seg: 91.1388, loss: 0.2138 +2023-03-04 02:00:12,967 - mmseg - INFO - Iter [15300/160000] lr: 1.500e-04, eta: 7:58:06, time: 0.194, data_time: 0.007, memory: 19921, decode.loss_ce: 0.2147, decode.acc_seg: 91.2873, loss: 0.2147 +2023-03-04 02:00:22,681 - mmseg - INFO - Iter [15350/160000] lr: 1.500e-04, eta: 7:57:55, time: 0.195, data_time: 0.007, memory: 19921, decode.loss_ce: 0.2173, decode.acc_seg: 91.1867, loss: 0.2173 +2023-03-04 02:00:32,433 - mmseg - INFO - Iter [15400/160000] lr: 1.500e-04, eta: 7:57:43, time: 0.195, data_time: 0.007, memory: 19921, decode.loss_ce: 0.2092, decode.acc_seg: 91.4594, loss: 0.2092 +2023-03-04 02:00:42,001 - mmseg - INFO - Iter [15450/160000] lr: 1.500e-04, eta: 7:57:30, time: 0.191, data_time: 0.007, memory: 19921, decode.loss_ce: 0.2139, decode.acc_seg: 91.3122, loss: 0.2139 +2023-03-04 02:00:51,774 - mmseg - INFO - Iter [15500/160000] lr: 1.500e-04, eta: 7:57:19, time: 0.195, data_time: 0.007, memory: 19921, decode.loss_ce: 0.2168, decode.acc_seg: 91.2256, loss: 0.2168 +2023-03-04 02:01:01,778 - mmseg - INFO - Iter [15550/160000] lr: 1.500e-04, eta: 7:57:10, time: 0.200, data_time: 0.007, memory: 19921, decode.loss_ce: 0.2191, decode.acc_seg: 91.0448, loss: 0.2191 +2023-03-04 02:01:11,533 - mmseg - INFO - Iter [15600/160000] lr: 1.500e-04, eta: 7:56:58, time: 0.195, data_time: 0.007, memory: 19921, decode.loss_ce: 0.2074, decode.acc_seg: 91.4634, loss: 0.2074 +2023-03-04 02:01:21,109 - mmseg - INFO - Iter [15650/160000] lr: 1.500e-04, eta: 7:56:45, time: 0.192, data_time: 0.007, memory: 19921, decode.loss_ce: 0.2089, decode.acc_seg: 91.4917, loss: 0.2089 +2023-03-04 02:01:30,615 - mmseg - INFO - Iter [15700/160000] lr: 1.500e-04, eta: 7:56:32, time: 0.190, data_time: 0.007, memory: 19921, decode.loss_ce: 0.2157, decode.acc_seg: 91.1068, loss: 0.2157 +2023-03-04 02:01:40,165 - mmseg - INFO - Iter [15750/160000] lr: 1.500e-04, eta: 7:56:19, time: 0.191, data_time: 0.007, memory: 19921, decode.loss_ce: 0.2121, decode.acc_seg: 91.3315, loss: 0.2121 +2023-03-04 02:01:52,212 - mmseg - INFO - Iter [15800/160000] lr: 1.500e-04, eta: 7:56:28, time: 0.241, data_time: 0.055, memory: 19921, decode.loss_ce: 0.2056, decode.acc_seg: 91.5603, loss: 0.2056 +2023-03-04 02:02:01,962 - mmseg - INFO - Iter [15850/160000] lr: 1.500e-04, eta: 7:56:17, time: 0.195, data_time: 0.007, memory: 19921, decode.loss_ce: 0.2106, decode.acc_seg: 91.4498, loss: 0.2106 +2023-03-04 02:02:11,660 - mmseg - INFO - Iter [15900/160000] lr: 1.500e-04, eta: 7:56:05, time: 0.194, data_time: 0.007, memory: 19921, decode.loss_ce: 0.2238, decode.acc_seg: 91.0475, loss: 0.2238 +2023-03-04 02:02:21,553 - mmseg - INFO - Iter [15950/160000] lr: 1.500e-04, eta: 7:55:55, time: 0.198, data_time: 0.007, memory: 19921, decode.loss_ce: 0.2066, decode.acc_seg: 91.5127, loss: 0.2066 +2023-03-04 02:02:31,096 - mmseg - INFO - Swap parameters (after train) after iter [16000] +2023-03-04 02:02:31,109 - mmseg - INFO - Saving checkpoint at 16000 iterations +2023-03-04 02:02:32,114 - mmseg - INFO - Exp name: ablation_segformer_mit_b2_segformer_head_unet_fc_small_multi_step_ade_pretrained_freeze_embed_160k_ade20k151_finetune_ema_cos.py +2023-03-04 02:02:32,115 - mmseg - INFO - Iter [16000/160000] lr: 1.500e-04, eta: 7:55:51, time: 0.211, data_time: 0.007, memory: 19921, decode.loss_ce: 0.2152, decode.acc_seg: 91.2131, loss: 0.2152 +2023-03-04 02:16:10,473 - mmseg - INFO - per class results: +2023-03-04 02:16:10,482 - mmseg - INFO - ++---------------------+-------------------------------------------------------------------+ +| Class | IoU 0,10,20,30,40,50,60,70,80,90,99 | ++---------------------+-------------------------------------------------------------------+ +| background | nan,nan,nan,nan,nan,nan,nan,nan,nan,nan,nan | +| wall | 77.04,77.04,77.04,77.04,77.05,77.05,77.06,77.07,77.09,77.09,77.1 | +| building | 81.52,81.52,81.52,81.52,81.53,81.53,81.53,81.53,81.53,81.53,81.53 | +| sky | 94.39,94.38,94.38,94.39,94.39,94.39,94.38,94.39,94.39,94.39,94.39 | +| floor | 81.43,81.43,81.43,81.43,81.43,81.44,81.45,81.44,81.45,81.46,81.44 | +| tree | 73.72,73.72,73.71,73.71,73.71,73.71,73.71,73.71,73.7,73.68,73.71 | +| ceiling | 84.96,84.96,84.97,84.98,84.98,84.97,84.97,84.99,84.99,85.0,85.0 | +| road | 81.71,81.69,81.7,81.7,81.69,81.69,81.67,81.66,81.64,81.61,81.58 | +| bed | 87.42,87.42,87.42,87.4,87.42,87.42,87.41,87.41,87.42,87.4,87.4 | +| windowpane | 60.22,60.23,60.23,60.21,60.22,60.25,60.24,60.24,60.27,60.3,60.31 | +| grass | 66.8,66.79,66.81,66.82,66.82,66.81,66.83,66.84,66.88,66.87,66.87 | +| cabinet | 60.03,60.02,60.0,60.01,60.05,60.0,60.02,60.05,60.09,60.11,60.19 | +| sidewalk | 63.21,63.18,63.19,63.2,63.18,63.2,63.17,63.17,63.15,63.11,63.07 | +| person | 79.13,79.12,79.13,79.12,79.12,79.14,79.15,79.16,79.17,79.19,79.2 | +| earth | 35.66,35.67,35.67,35.68,35.68,35.68,35.7,35.73,35.77,35.79,35.84 | +| door | 44.65,44.65,44.66,44.67,44.67,44.67,44.72,44.74,44.8,44.8,44.83 | +| table | 59.52,59.53,59.53,59.55,59.56,59.53,59.55,59.59,59.58,59.59,59.64 | +| mountain | 56.63,56.63,56.63,56.64,56.64,56.64,56.64,56.65,56.67,56.69,56.67 | +| plant | 50.19,50.2,50.18,50.19,50.17,50.19,50.22,50.2,50.21,50.17,50.22 | +| curtain | 74.31,74.28,74.3,74.28,74.3,74.35,74.35,74.42,74.48,74.55,74.59 | +| chair | 55.44,55.44,55.44,55.43,55.45,55.44,55.46,55.48,55.47,55.47,55.39 | +| car | 80.83,80.79,80.8,80.8,80.81,80.82,80.83,80.84,80.89,80.92,81.0 | +| water | 57.25,57.24,57.24,57.25,57.25,57.25,57.26,57.26,57.25,57.24,57.26 | +| painting | 69.97,69.97,69.99,70.01,69.99,69.96,69.94,69.92,69.88,69.76,69.73 | +| sofa | 63.76,63.76,63.77,63.75,63.75,63.78,63.81,63.82,63.85,63.91,63.94 | +| shelf | 44.31,44.31,44.32,44.31,44.32,44.35,44.37,44.42,44.48,44.57,44.64 | +| house | 42.85,42.89,42.85,42.89,42.86,42.92,42.87,42.88,42.89,42.9,42.92 | +| sea | 60.32,60.31,60.32,60.28,60.29,60.26,60.26,60.25,60.21,60.14,60.06 | +| mirror | 64.29,64.3,64.26,64.24,64.25,64.26,64.33,64.33,64.35,64.42,64.48 | +| rug | 64.63,64.62,64.6,64.62,64.59,64.59,64.62,64.49,64.39,64.33,64.02 | +| field | 30.52,30.52,30.53,30.54,30.55,30.51,30.53,30.54,30.55,30.52,30.51 | +| armchair | 36.54,36.56,36.56,36.58,36.57,36.59,36.65,36.67,36.75,36.82,36.91 | +| seat | 65.94,65.95,65.98,65.95,65.98,65.95,65.98,65.97,65.98,65.99,66.05 | +| fence | 40.38,40.36,40.37,40.35,40.32,40.43,40.33,40.38,40.38,40.4,40.42 | +| desk | 46.38,46.32,46.34,46.33,46.36,46.35,46.43,46.5,46.57,46.56,46.57 | +| rock | 37.07,37.09,37.05,37.04,37.06,37.05,37.04,37.05,37.02,37.04,37.04 | +| wardrobe | 57.1,57.14,57.08,57.14,57.17,57.18,57.3,57.4,57.56,57.83,58.01 | +| lamp | 60.81,60.81,60.85,60.84,60.82,60.83,60.84,60.81,60.84,60.79,60.76 | +| bathtub | 75.14,75.17,75.12,75.12,75.15,75.17,75.2,75.18,75.3,75.34,75.4 | +| railing | 33.93,33.94,33.93,33.97,33.94,33.94,33.97,33.98,34.0,34.06,34.0 | +| cushion | 55.64,55.7,55.7,55.65,55.6,55.58,55.65,55.64,55.59,55.6,55.56 | +| base | 21.93,21.98,21.91,21.95,21.99,21.98,22.11,22.13,22.35,22.49,22.56 | +| box | 23.17,23.15,23.16,23.17,23.17,23.17,23.2,23.2,23.19,23.26,23.2 | +| column | 45.43,45.43,45.42,45.43,45.41,45.43,45.39,45.43,45.41,45.39,45.36 | +| signboard | 37.71,37.72,37.73,37.72,37.79,37.74,37.74,37.74,37.78,37.78,37.72 | +| chest of drawers | 35.72,35.76,35.73,35.71,35.77,35.72,35.71,35.66,35.74,35.78,35.93 | +| counter | 30.95,30.94,30.93,30.92,30.9,30.97,30.98,30.94,31.02,30.98,30.98 | +| sand | 42.42,42.41,42.42,42.39,42.37,42.43,42.41,42.44,42.45,42.48,42.5 | +| sink | 66.68,66.67,66.66,66.67,66.68,66.68,66.68,66.69,66.69,66.7,66.72 | +| skyscraper | 50.96,50.94,50.8,50.77,50.74,50.85,50.7,50.59,50.24,50.05,50.06 | +| fireplace | 74.71,74.71,74.7,74.69,74.72,74.72,74.74,74.87,74.92,74.97,75.13 | +| refrigerator | 73.67,73.68,73.67,73.74,73.73,73.74,73.66,73.79,73.84,73.77,73.99 | +| grandstand | 51.86,51.93,52.02,52.0,52.08,51.97,52.16,52.22,52.26,52.3,52.6 | +| path | 22.01,21.97,21.99,21.98,21.99,22.0,21.95,21.89,21.83,21.77,21.69 | +| stairs | 31.82,31.8,31.84,31.84,31.87,31.82,31.92,31.94,32.08,32.19,32.28 | +| runway | 67.39,67.39,67.39,67.38,67.4,67.42,67.43,67.47,67.48,67.55,67.54 | +| case | 48.09,48.04,48.02,48.03,48.03,48.1,48.11,48.11,48.21,48.37,48.28 | +| pool table | 91.7,91.68,91.68,91.66,91.67,91.69,91.69,91.71,91.73,91.73,91.8 | +| pillow | 59.9,59.91,59.94,59.96,59.83,59.87,59.91,59.92,59.81,59.77,59.75 | +| screen door | 65.94,65.92,65.89,65.84,65.9,65.85,65.86,65.8,65.68,65.62,65.56 | +| stairway | 23.58,23.57,23.6,23.6,23.63,23.61,23.62,23.68,23.72,23.77,23.8 | +| river | 11.88,11.89,11.89,11.88,11.88,11.89,11.89,11.91,11.93,11.99,12.01 | +| bridge | 32.58,32.71,32.52,32.55,32.6,32.65,32.68,32.64,32.72,32.96,32.93 | +| bookcase | 45.06,45.03,45.04,45.08,45.09,45.07,45.1,45.19,45.21,45.33,45.32 | +| blind | 38.14,38.13,38.1,38.07,38.13,38.22,38.23,38.17,38.25,38.42,38.47 | +| coffee table | 52.45,52.45,52.49,52.54,52.49,52.45,52.47,52.54,52.54,52.62,52.71 | +| toilet | 83.31,83.31,83.31,83.34,83.33,83.35,83.36,83.42,83.44,83.51,83.62 | +| flower | 38.43,38.5,38.47,38.44,38.43,38.44,38.43,38.38,38.4,38.37,38.32 | +| book | 45.22,45.22,45.21,45.22,45.25,45.23,45.23,45.27,45.19,45.22,45.19 | +| hill | 14.87,14.88,14.88,14.85,14.83,14.86,14.84,14.8,14.72,14.69,14.51 | +| bench | 42.51,42.51,42.53,42.53,42.46,42.4,42.34,42.36,42.25,42.14,41.95 | +| countertop | 54.03,54.04,54.02,54.0,54.06,54.0,54.03,53.97,53.96,53.9,53.92 | +| stove | 70.3,70.35,70.31,70.35,70.32,70.31,70.33,70.27,70.2,70.19,70.1 | +| palm | 49.11,49.13,49.12,49.13,49.11,49.03,49.06,49.06,49.05,48.99,48.87 | +| kitchen island | 41.16,41.19,41.1,41.11,41.04,41.17,41.21,41.34,41.63,41.95,42.07 | +| computer | 59.89,59.9,59.89,59.94,59.97,59.94,59.98,60.03,60.09,60.14,60.14 | +| swivel chair | 43.65,43.7,43.62,43.71,43.67,43.69,43.73,43.75,43.73,43.82,43.85 | +| boat | 71.92,71.87,71.91,71.92,71.91,71.89,71.9,71.77,71.8,71.66,71.59 | +| bar | 23.46,23.43,23.45,23.49,23.47,23.48,23.49,23.53,23.55,23.57,23.63 | +| arcade machine | 68.64,68.85,68.87,68.91,68.68,68.73,68.87,68.78,68.98,69.0,69.22 | +| hovel | 32.8,32.78,32.71,32.76,32.79,32.99,33.04,33.06,33.41,33.75,33.98 | +| bus | 78.4,78.37,78.39,78.35,78.38,78.28,78.32,78.29,78.22,78.14,78.04 | +| towel | 62.26,62.23,62.25,62.28,62.19,62.24,62.28,62.23,62.17,62.06,62.01 | +| light | 53.29,53.28,53.32,53.29,53.24,53.36,53.38,53.45,53.47,53.53,53.66 | +| truck | 15.82,15.85,15.86,15.89,15.77,15.76,15.79,15.68,15.61,15.62,15.57 | +| tower | 9.04,9.07,9.05,9.1,9.03,9.12,9.03,9.08,9.07,9.11,9.15 | +| chandelier | 63.86,63.83,63.88,63.86,63.85,63.86,63.91,63.96,63.96,63.96,63.99 | +| awning | 23.5,23.4,23.41,23.51,23.48,23.51,23.59,23.57,23.57,23.72,23.65 | +| streetlight | 25.22,25.15,25.13,25.13,25.15,25.15,25.24,25.22,25.22,25.34,25.36 | +| booth | 43.86,43.79,43.77,43.81,43.99,43.94,44.0,44.03,44.37,44.49,44.74 | +| television receiver | 63.75,63.81,63.74,63.72,63.82,63.75,63.76,63.83,63.87,63.85,63.92 | +| airplane | 57.74,57.74,57.76,57.71,57.72,57.7,57.74,57.74,57.8,57.81,57.8 | +| dirt track | 16.51,16.59,16.56,16.64,16.48,16.54,16.72,16.67,16.37,16.23,16.15 | +| apparel | 34.47,34.48,34.44,34.52,34.63,34.5,34.57,34.64,34.74,34.78,35.02 | +| pole | 18.52,18.59,18.53,18.76,18.68,18.52,18.4,18.45,18.41,18.26,18.27 | +| land | 3.65,3.66,3.61,3.55,3.62,3.7,3.69,3.74,3.86,4.02,4.1 | +| bannister | 11.31,11.3,11.3,11.22,11.22,11.28,11.26,11.36,11.48,11.5,11.52 | +| escalator | 24.19,24.17,24.19,24.21,24.22,24.22,24.29,24.35,24.5,24.58,24.6 | +| ottoman | 42.47,42.51,42.56,42.49,42.54,42.4,42.54,42.45,42.6,42.2,42.23 | +| bottle | 35.02,35.04,35.02,34.97,34.97,35.0,34.97,35.01,34.95,34.95,34.86 | +| buffet | 37.67,37.85,37.71,37.68,37.81,37.98,38.25,38.29,38.7,39.06,39.41 | +| poster | 22.78,22.89,22.92,22.9,22.88,22.86,22.82,22.82,22.75,22.75,22.53 | +| stage | 14.27,14.36,14.28,14.33,14.23,14.36,14.36,14.34,14.39,14.63,14.81 | +| van | 38.34,38.32,38.37,38.42,38.3,38.45,38.33,38.28,38.41,38.38,38.44 | +| ship | 81.6,81.6,81.69,81.61,81.75,81.68,81.87,82.04,82.3,82.44,82.59 | +| fountain | 14.72,14.66,14.58,14.9,14.69,15.07,15.06,15.31,15.5,16.0,16.69 | +| conveyer belt | 83.07,83.0,83.04,83.04,83.07,83.11,82.95,83.04,83.05,83.13,83.06 | +| canopy | 22.67,22.6,22.61,22.65,22.71,22.78,22.87,23.0,23.21,23.67,24.12 | +| washer | 76.8,76.87,76.85,76.73,76.83,76.89,77.0,77.02,77.03,77.3,77.28 | +| plaything | 21.11,21.12,21.14,21.09,21.09,21.1,21.12,21.06,20.94,20.87,20.75 | +| swimming pool | 74.38,74.31,74.3,74.36,74.36,74.41,74.33,74.43,74.37,74.43,74.61 | +| stool | 44.05,44.16,44.13,44.16,44.19,44.21,44.25,44.38,44.27,44.28,44.23 | +| barrel | 40.86,41.29,41.22,41.02,40.9,40.56,41.08,40.4,40.01,39.33,38.86 | +| basket | 23.69,23.67,23.69,23.68,23.68,23.74,23.72,23.74,23.72,23.78,23.84 | +| waterfall | 49.21,49.23,49.25,49.28,49.33,49.33,49.35,49.44,49.5,49.61,49.75 | +| tent | 94.87,94.83,94.87,94.88,94.86,94.85,94.82,94.82,94.78,94.8,94.8 | +| bag | 16.92,16.94,16.87,16.94,16.93,16.99,16.94,16.93,16.97,16.99,16.96 | +| minibike | 62.26,62.38,62.33,62.33,62.38,62.27,62.47,62.52,62.5,62.64,62.84 | +| cradle | 83.5,83.45,83.43,83.45,83.44,83.45,83.51,83.57,83.63,83.71,83.8 | +| oven | 48.39,48.39,48.4,48.34,48.35,48.34,48.36,48.51,48.5,48.54,48.52 | +| ball | 44.13,44.1,44.15,44.06,44.12,44.2,44.16,44.17,44.42,44.37,44.51 | +| food | 52.94,52.95,52.98,52.98,52.95,52.91,52.91,52.93,52.96,52.84,52.93 | +| step | 5.3,5.28,5.32,5.34,5.21,5.32,5.22,5.29,5.22,5.21,5.26 | +| tank | 51.76,51.79,51.77,51.89,51.83,51.79,51.89,51.87,51.77,51.81,51.87 | +| trade name | 27.79,27.9,27.91,27.86,27.89,27.85,27.95,28.06,28.06,28.12,28.13 | +| microwave | 75.25,75.26,75.27,75.29,75.25,75.3,75.23,75.3,75.25,75.25,75.31 | +| pot | 30.56,30.59,30.5,30.61,30.52,30.62,30.57,30.61,30.68,30.8,30.92 | +| animal | 54.83,54.86,54.87,54.87,54.89,54.89,54.93,54.9,54.9,54.86,54.77 | +| bicycle | 53.87,53.97,53.97,54.03,54.07,54.06,54.12,54.27,54.43,54.61,54.67 | +| lake | 57.04,57.06,57.05,57.08,57.06,57.05,57.04,57.02,57.02,56.97,56.97 | +| dishwasher | 63.13,63.16,63.18,63.24,63.29,63.05,63.08,63.12,62.89,62.86,62.98 | +| screen | 66.94,66.9,67.13,66.94,66.95,66.9,66.67,66.61,66.37,66.32,66.19 | +| blanket | 17.71,17.6,17.62,17.65,17.6,17.7,17.67,17.64,17.6,17.58,17.52 | +| sculpture | 56.81,56.78,56.87,56.93,56.77,56.75,56.63,56.64,56.46,56.21,56.0 | +| hood | 58.09,58.05,58.05,58.05,58.19,58.03,58.2,58.12,58.1,58.03,58.0 | +| sconce | 42.47,42.47,42.42,42.41,42.4,42.51,42.47,42.56,42.55,42.52,42.62 | +| vase | 35.87,36.0,35.96,36.01,35.97,35.97,36.03,35.91,36.1,36.06,36.03 | +| traffic light | 32.99,32.98,32.97,32.94,32.91,32.95,33.04,32.94,33.03,33.08,33.08 | +| tray | 5.82,5.89,5.86,5.92,5.87,5.88,5.82,5.86,5.84,5.87,5.82 | +| ashcan | 40.79,40.83,40.78,40.81,40.77,40.7,40.65,40.77,40.69,40.58,40.38 | +| fan | 56.52,56.55,56.58,56.55,56.52,56.49,56.56,56.44,56.4,56.33,56.26 | +| pier | 52.44,52.28,52.37,52.49,52.46,52.32,52.49,52.49,52.33,52.4,52.39 | +| crt screen | 9.44,9.43,9.46,9.41,9.46,9.43,9.52,9.49,9.56,9.63,9.61 | +| plate | 50.62,50.72,50.77,50.71,50.78,50.74,50.76,50.82,50.74,50.75,50.8 | +| monitor | 15.56,15.48,15.57,15.62,15.59,15.59,15.44,15.38,15.29,15.04,14.95 | +| bulletin board | 37.52,37.49,37.44,37.6,37.51,37.56,37.84,37.99,38.28,38.48,38.83 | +| shower | 0.98,1.02,1.04,1.0,1.02,1.07,1.09,1.08,1.04,1.11,1.19 | +| radiator | 60.5,60.6,60.51,60.49,60.5,60.68,60.76,60.81,60.92,61.3,61.29 | +| glass | 12.44,12.48,12.5,12.46,12.49,12.44,12.46,12.41,12.35,12.31,12.25 | +| clock | 34.32,34.36,34.23,34.57,34.35,34.45,34.5,34.4,34.68,34.5,34.5 | +| flag | 36.68,36.56,36.62,36.55,36.65,36.61,36.57,36.55,36.42,36.45,36.23 | ++---------------------+-------------------------------------------------------------------+ +2023-03-04 02:16:10,482 - mmseg - INFO - Summary: +2023-03-04 02:16:10,482 - mmseg - INFO - ++------------------------------------------------------------------+ +| mIoU 0,10,20,30,40,50,60,70,80,90,99 | ++------------------------------------------------------------------+ +| 48.11,48.12,48.11,48.12,48.12,48.12,48.15,48.16,48.17,48.2,48.22 | ++------------------------------------------------------------------+ +2023-03-04 02:16:11,458 - mmseg - INFO - Now best checkpoint is saved as best_mIoU_iter_16000.pth. +2023-03-04 02:16:11,458 - mmseg - INFO - Best mIoU is 0.4822 at 16000 iter. +2023-03-04 02:16:11,458 - mmseg - INFO - Exp name: ablation_segformer_mit_b2_segformer_head_unet_fc_small_multi_step_ade_pretrained_freeze_embed_160k_ade20k151_finetune_ema_cos.py +2023-03-04 02:16:11,459 - mmseg - INFO - Iter(val) [250] mIoU: [0.4811, 0.4812, 0.4811, 0.4812, 0.4812, 0.4812, 0.4815, 0.4816, 0.4817, 0.482, 0.4822], copy_paste: 48.11,48.12,48.11,48.12,48.12,48.12,48.15,48.16,48.17,48.2,48.22 +2023-03-04 02:16:11,465 - mmseg - INFO - Swap parameters (before train) before iter [16001] +2023-03-04 02:16:21,699 - mmseg - INFO - Iter [16050/160000] lr: 1.500e-04, eta: 9:58:12, time: 16.592, data_time: 16.396, memory: 52540, decode.loss_ce: 0.2091, decode.acc_seg: 91.5673, loss: 0.2091 +2023-03-04 02:16:31,571 - mmseg - INFO - Iter [16100/160000] lr: 1.500e-04, eta: 9:57:37, time: 0.197, data_time: 0.008, memory: 52540, decode.loss_ce: 0.2048, decode.acc_seg: 91.5908, loss: 0.2048 +2023-03-04 02:16:41,326 - mmseg - INFO - Iter [16150/160000] lr: 1.500e-04, eta: 9:57:00, time: 0.195, data_time: 0.007, memory: 52540, decode.loss_ce: 0.2103, decode.acc_seg: 91.3948, loss: 0.2103 +2023-03-04 02:16:51,187 - mmseg - INFO - Iter [16200/160000] lr: 1.500e-04, eta: 9:56:25, time: 0.197, data_time: 0.008, memory: 52540, decode.loss_ce: 0.2094, decode.acc_seg: 91.4386, loss: 0.2094 +2023-03-04 02:17:00,855 - mmseg - INFO - Iter [16250/160000] lr: 1.500e-04, eta: 9:55:48, time: 0.193, data_time: 0.007, memory: 52540, decode.loss_ce: 0.2139, decode.acc_seg: 91.2944, loss: 0.2139 +2023-03-04 02:17:10,705 - mmseg - INFO - Iter [16300/160000] lr: 1.500e-04, eta: 9:55:13, time: 0.197, data_time: 0.007, memory: 52540, decode.loss_ce: 0.2073, decode.acc_seg: 91.5010, loss: 0.2073 +2023-03-04 02:17:20,396 - mmseg - INFO - Iter [16350/160000] lr: 1.500e-04, eta: 9:54:36, time: 0.194, data_time: 0.007, memory: 52540, decode.loss_ce: 0.2125, decode.acc_seg: 91.3602, loss: 0.2125 +2023-03-04 02:17:30,042 - mmseg - INFO - Iter [16400/160000] lr: 1.500e-04, eta: 9:53:59, time: 0.193, data_time: 0.007, memory: 52540, decode.loss_ce: 0.2102, decode.acc_seg: 91.3851, loss: 0.2102 +2023-03-04 02:17:42,272 - mmseg - INFO - Iter [16450/160000] lr: 1.500e-04, eta: 9:53:45, time: 0.245, data_time: 0.054, memory: 52540, decode.loss_ce: 0.2131, decode.acc_seg: 91.3871, loss: 0.2131 +2023-03-04 02:17:51,946 - mmseg - INFO - Iter [16500/160000] lr: 1.500e-04, eta: 9:53:09, time: 0.193, data_time: 0.007, memory: 52540, decode.loss_ce: 0.2100, decode.acc_seg: 91.3852, loss: 0.2100 +2023-03-04 02:18:01,578 - mmseg - INFO - Iter [16550/160000] lr: 1.500e-04, eta: 9:52:33, time: 0.193, data_time: 0.007, memory: 52540, decode.loss_ce: 0.2074, decode.acc_seg: 91.4374, loss: 0.2074 +2023-03-04 02:18:11,423 - mmseg - INFO - Iter [16600/160000] lr: 1.500e-04, eta: 9:51:58, time: 0.197, data_time: 0.007, memory: 52540, decode.loss_ce: 0.2008, decode.acc_seg: 91.7083, loss: 0.2008 +2023-03-04 02:18:21,287 - mmseg - INFO - Iter [16650/160000] lr: 1.500e-04, eta: 9:51:24, time: 0.197, data_time: 0.007, memory: 52540, decode.loss_ce: 0.2084, decode.acc_seg: 91.4354, loss: 0.2084 +2023-03-04 02:18:30,998 - mmseg - INFO - Iter [16700/160000] lr: 1.500e-04, eta: 9:50:49, time: 0.194, data_time: 0.007, memory: 52540, decode.loss_ce: 0.2132, decode.acc_seg: 91.4411, loss: 0.2132 +2023-03-04 02:18:41,241 - mmseg - INFO - Iter [16750/160000] lr: 1.500e-04, eta: 9:50:19, time: 0.205, data_time: 0.007, memory: 52540, decode.loss_ce: 0.2086, decode.acc_seg: 91.3212, loss: 0.2086 +2023-03-04 02:18:50,935 - mmseg - INFO - Iter [16800/160000] lr: 1.500e-04, eta: 9:49:43, time: 0.194, data_time: 0.007, memory: 52540, decode.loss_ce: 0.2118, decode.acc_seg: 91.3792, loss: 0.2118 +2023-03-04 02:19:00,577 - mmseg - INFO - Iter [16850/160000] lr: 1.500e-04, eta: 9:49:08, time: 0.193, data_time: 0.007, memory: 52540, decode.loss_ce: 0.2139, decode.acc_seg: 91.1871, loss: 0.2139 +2023-03-04 02:19:10,627 - mmseg - INFO - Iter [16900/160000] lr: 1.500e-04, eta: 9:48:36, time: 0.201, data_time: 0.007, memory: 52540, decode.loss_ce: 0.2140, decode.acc_seg: 91.3517, loss: 0.2140 +2023-03-04 02:19:20,384 - mmseg - INFO - Iter [16950/160000] lr: 1.500e-04, eta: 9:48:02, time: 0.195, data_time: 0.007, memory: 52540, decode.loss_ce: 0.2137, decode.acc_seg: 91.2799, loss: 0.2137 +2023-03-04 02:19:30,018 - mmseg - INFO - Exp name: ablation_segformer_mit_b2_segformer_head_unet_fc_small_multi_step_ade_pretrained_freeze_embed_160k_ade20k151_finetune_ema_cos.py +2023-03-04 02:19:30,018 - mmseg - INFO - Iter [17000/160000] lr: 1.500e-04, eta: 9:47:27, time: 0.193, data_time: 0.007, memory: 52540, decode.loss_ce: 0.2072, decode.acc_seg: 91.4762, loss: 0.2072 +2023-03-04 02:19:42,613 - mmseg - INFO - Iter [17050/160000] lr: 1.500e-04, eta: 9:47:17, time: 0.252, data_time: 0.058, memory: 52540, decode.loss_ce: 0.2141, decode.acc_seg: 91.1563, loss: 0.2141 +2023-03-04 02:19:52,329 - mmseg - INFO - Iter [17100/160000] lr: 1.500e-04, eta: 9:46:43, time: 0.194, data_time: 0.007, memory: 52540, decode.loss_ce: 0.2143, decode.acc_seg: 91.3761, loss: 0.2143 +2023-03-04 02:20:02,297 - mmseg - INFO - Iter [17150/160000] lr: 1.500e-04, eta: 9:46:11, time: 0.199, data_time: 0.007, memory: 52540, decode.loss_ce: 0.2194, decode.acc_seg: 91.2086, loss: 0.2194 +2023-03-04 02:20:12,043 - mmseg - INFO - Iter [17200/160000] lr: 1.500e-04, eta: 9:45:37, time: 0.195, data_time: 0.007, memory: 52540, decode.loss_ce: 0.2127, decode.acc_seg: 91.2126, loss: 0.2127 +2023-03-04 02:20:21,689 - mmseg - INFO - Iter [17250/160000] lr: 1.500e-04, eta: 9:45:03, time: 0.193, data_time: 0.007, memory: 52540, decode.loss_ce: 0.2088, decode.acc_seg: 91.5280, loss: 0.2088 +2023-03-04 02:20:31,225 - mmseg - INFO - Iter [17300/160000] lr: 1.500e-04, eta: 9:44:28, time: 0.191, data_time: 0.007, memory: 52540, decode.loss_ce: 0.2131, decode.acc_seg: 91.3891, loss: 0.2131 +2023-03-04 02:20:40,968 - mmseg - INFO - Iter [17350/160000] lr: 1.500e-04, eta: 9:43:55, time: 0.195, data_time: 0.007, memory: 52540, decode.loss_ce: 0.2262, decode.acc_seg: 90.8798, loss: 0.2262 +2023-03-04 02:20:50,624 - mmseg - INFO - Iter [17400/160000] lr: 1.500e-04, eta: 9:43:21, time: 0.193, data_time: 0.007, memory: 52540, decode.loss_ce: 0.2199, decode.acc_seg: 91.0254, loss: 0.2199 +2023-03-04 02:21:00,298 - mmseg - INFO - Iter [17450/160000] lr: 1.500e-04, eta: 9:42:48, time: 0.193, data_time: 0.007, memory: 52540, decode.loss_ce: 0.2043, decode.acc_seg: 91.6244, loss: 0.2043 +2023-03-04 02:21:09,814 - mmseg - INFO - Iter [17500/160000] lr: 1.500e-04, eta: 9:42:13, time: 0.190, data_time: 0.007, memory: 52540, decode.loss_ce: 0.2002, decode.acc_seg: 91.7125, loss: 0.2002 +2023-03-04 02:21:19,366 - mmseg - INFO - Iter [17550/160000] lr: 1.500e-04, eta: 9:41:39, time: 0.191, data_time: 0.007, memory: 52540, decode.loss_ce: 0.2151, decode.acc_seg: 91.2471, loss: 0.2151 +2023-03-04 02:21:28,935 - mmseg - INFO - Iter [17600/160000] lr: 1.500e-04, eta: 9:41:05, time: 0.191, data_time: 0.007, memory: 52540, decode.loss_ce: 0.2121, decode.acc_seg: 91.2972, loss: 0.2121 +2023-03-04 02:21:38,925 - mmseg - INFO - Iter [17650/160000] lr: 1.500e-04, eta: 9:40:34, time: 0.200, data_time: 0.007, memory: 52540, decode.loss_ce: 0.2023, decode.acc_seg: 91.8199, loss: 0.2023 +2023-03-04 02:21:51,083 - mmseg - INFO - Iter [17700/160000] lr: 1.500e-04, eta: 9:40:21, time: 0.243, data_time: 0.057, memory: 52540, decode.loss_ce: 0.2220, decode.acc_seg: 91.1008, loss: 0.2220 +2023-03-04 02:22:01,078 - mmseg - INFO - Iter [17750/160000] lr: 1.500e-04, eta: 9:39:51, time: 0.200, data_time: 0.007, memory: 52540, decode.loss_ce: 0.2173, decode.acc_seg: 91.2026, loss: 0.2173 +2023-03-04 02:22:10,729 - mmseg - INFO - Iter [17800/160000] lr: 1.500e-04, eta: 9:39:18, time: 0.193, data_time: 0.007, memory: 52540, decode.loss_ce: 0.2201, decode.acc_seg: 91.1783, loss: 0.2201 +2023-03-04 02:22:20,866 - mmseg - INFO - Iter [17850/160000] lr: 1.500e-04, eta: 9:38:49, time: 0.203, data_time: 0.007, memory: 52540, decode.loss_ce: 0.2125, decode.acc_seg: 91.3002, loss: 0.2125 +2023-03-04 02:22:30,429 - mmseg - INFO - Iter [17900/160000] lr: 1.500e-04, eta: 9:38:16, time: 0.191, data_time: 0.007, memory: 52540, decode.loss_ce: 0.2132, decode.acc_seg: 91.3827, loss: 0.2132 +2023-03-04 02:22:39,951 - mmseg - INFO - Iter [17950/160000] lr: 1.500e-04, eta: 9:37:43, time: 0.190, data_time: 0.007, memory: 52540, decode.loss_ce: 0.2148, decode.acc_seg: 91.3387, loss: 0.2148 +2023-03-04 02:22:49,595 - mmseg - INFO - Exp name: ablation_segformer_mit_b2_segformer_head_unet_fc_small_multi_step_ade_pretrained_freeze_embed_160k_ade20k151_finetune_ema_cos.py +2023-03-04 02:22:49,595 - mmseg - INFO - Iter [18000/160000] lr: 1.500e-04, eta: 9:37:10, time: 0.193, data_time: 0.007, memory: 52540, decode.loss_ce: 0.2051, decode.acc_seg: 91.6191, loss: 0.2051 +2023-03-04 02:22:59,113 - mmseg - INFO - Iter [18050/160000] lr: 1.500e-04, eta: 9:36:37, time: 0.190, data_time: 0.007, memory: 52540, decode.loss_ce: 0.2061, decode.acc_seg: 91.6744, loss: 0.2061 +2023-03-04 02:23:08,769 - mmseg - INFO - Iter [18100/160000] lr: 1.500e-04, eta: 9:36:05, time: 0.193, data_time: 0.007, memory: 52540, decode.loss_ce: 0.2102, decode.acc_seg: 91.2694, loss: 0.2102 +2023-03-04 02:23:18,383 - mmseg - INFO - Iter [18150/160000] lr: 1.500e-04, eta: 9:35:33, time: 0.192, data_time: 0.007, memory: 52540, decode.loss_ce: 0.2065, decode.acc_seg: 91.5386, loss: 0.2065 +2023-03-04 02:23:27,949 - mmseg - INFO - Iter [18200/160000] lr: 1.500e-04, eta: 9:35:00, time: 0.191, data_time: 0.007, memory: 52540, decode.loss_ce: 0.2146, decode.acc_seg: 91.3101, loss: 0.2146 +2023-03-04 02:23:37,549 - mmseg - INFO - Iter [18250/160000] lr: 1.500e-04, eta: 9:34:28, time: 0.192, data_time: 0.007, memory: 52540, decode.loss_ce: 0.2103, decode.acc_seg: 91.3906, loss: 0.2103 +2023-03-04 02:23:49,555 - mmseg - INFO - Iter [18300/160000] lr: 1.500e-04, eta: 9:34:15, time: 0.240, data_time: 0.056, memory: 52540, decode.loss_ce: 0.2109, decode.acc_seg: 91.4513, loss: 0.2109 +2023-03-04 02:23:59,182 - mmseg - INFO - Iter [18350/160000] lr: 1.500e-04, eta: 9:33:43, time: 0.193, data_time: 0.007, memory: 52540, decode.loss_ce: 0.2052, decode.acc_seg: 91.4026, loss: 0.2052 +2023-03-04 02:24:08,847 - mmseg - INFO - Iter [18400/160000] lr: 1.500e-04, eta: 9:33:12, time: 0.193, data_time: 0.007, memory: 52540, decode.loss_ce: 0.2043, decode.acc_seg: 91.6491, loss: 0.2043 +2023-03-04 02:24:18,798 - mmseg - INFO - Iter [18450/160000] lr: 1.500e-04, eta: 9:32:43, time: 0.199, data_time: 0.007, memory: 52540, decode.loss_ce: 0.2194, decode.acc_seg: 91.0109, loss: 0.2194 +2023-03-04 02:24:28,636 - mmseg - INFO - Iter [18500/160000] lr: 1.500e-04, eta: 9:32:13, time: 0.197, data_time: 0.007, memory: 52540, decode.loss_ce: 0.2162, decode.acc_seg: 91.3020, loss: 0.2162 +2023-03-04 02:24:38,541 - mmseg - INFO - Iter [18550/160000] lr: 1.500e-04, eta: 9:31:44, time: 0.198, data_time: 0.007, memory: 52540, decode.loss_ce: 0.2084, decode.acc_seg: 91.6141, loss: 0.2084 +2023-03-04 02:24:48,431 - mmseg - INFO - Iter [18600/160000] lr: 1.500e-04, eta: 9:31:15, time: 0.198, data_time: 0.007, memory: 52540, decode.loss_ce: 0.2077, decode.acc_seg: 91.4873, loss: 0.2077 +2023-03-04 02:24:58,277 - mmseg - INFO - Iter [18650/160000] lr: 1.500e-04, eta: 9:30:46, time: 0.197, data_time: 0.007, memory: 52540, decode.loss_ce: 0.2124, decode.acc_seg: 91.4506, loss: 0.2124 +2023-03-04 02:25:07,938 - mmseg - INFO - Iter [18700/160000] lr: 1.500e-04, eta: 9:30:15, time: 0.193, data_time: 0.007, memory: 52540, decode.loss_ce: 0.2051, decode.acc_seg: 91.4814, loss: 0.2051 +2023-03-04 02:25:17,523 - mmseg - INFO - Iter [18750/160000] lr: 1.500e-04, eta: 9:29:44, time: 0.192, data_time: 0.007, memory: 52540, decode.loss_ce: 0.2157, decode.acc_seg: 91.2969, loss: 0.2157 +2023-03-04 02:25:27,121 - mmseg - INFO - Iter [18800/160000] lr: 1.500e-04, eta: 9:29:13, time: 0.192, data_time: 0.007, memory: 52540, decode.loss_ce: 0.2134, decode.acc_seg: 91.2042, loss: 0.2134 +2023-03-04 02:25:37,425 - mmseg - INFO - Iter [18850/160000] lr: 1.500e-04, eta: 9:28:48, time: 0.206, data_time: 0.007, memory: 52540, decode.loss_ce: 0.2101, decode.acc_seg: 91.5006, loss: 0.2101 +2023-03-04 02:25:47,205 - mmseg - INFO - Iter [18900/160000] lr: 1.500e-04, eta: 9:28:18, time: 0.196, data_time: 0.007, memory: 52540, decode.loss_ce: 0.2243, decode.acc_seg: 90.8265, loss: 0.2243 +2023-03-04 02:25:59,397 - mmseg - INFO - Iter [18950/160000] lr: 1.500e-04, eta: 9:28:07, time: 0.244, data_time: 0.057, memory: 52540, decode.loss_ce: 0.2112, decode.acc_seg: 91.4608, loss: 0.2112 +2023-03-04 02:26:08,997 - mmseg - INFO - Exp name: ablation_segformer_mit_b2_segformer_head_unet_fc_small_multi_step_ade_pretrained_freeze_embed_160k_ade20k151_finetune_ema_cos.py +2023-03-04 02:26:08,997 - mmseg - INFO - Iter [19000/160000] lr: 1.500e-04, eta: 9:27:36, time: 0.192, data_time: 0.007, memory: 52540, decode.loss_ce: 0.2060, decode.acc_seg: 91.6064, loss: 0.2060 +2023-03-04 02:26:18,520 - mmseg - INFO - Iter [19050/160000] lr: 1.500e-04, eta: 9:27:05, time: 0.190, data_time: 0.007, memory: 52540, decode.loss_ce: 0.2214, decode.acc_seg: 90.9164, loss: 0.2214 +2023-03-04 02:26:28,103 - mmseg - INFO - Iter [19100/160000] lr: 1.500e-04, eta: 9:26:35, time: 0.192, data_time: 0.007, memory: 52540, decode.loss_ce: 0.2092, decode.acc_seg: 91.2693, loss: 0.2092 +2023-03-04 02:26:37,832 - mmseg - INFO - Iter [19150/160000] lr: 1.500e-04, eta: 9:26:06, time: 0.195, data_time: 0.007, memory: 52540, decode.loss_ce: 0.2127, decode.acc_seg: 91.2699, loss: 0.2127 +2023-03-04 02:26:47,423 - mmseg - INFO - Iter [19200/160000] lr: 1.500e-04, eta: 9:25:36, time: 0.192, data_time: 0.007, memory: 52540, decode.loss_ce: 0.2141, decode.acc_seg: 91.3077, loss: 0.2141 +2023-03-04 02:26:56,913 - mmseg - INFO - Iter [19250/160000] lr: 1.500e-04, eta: 9:25:05, time: 0.190, data_time: 0.007, memory: 52540, decode.loss_ce: 0.2139, decode.acc_seg: 91.2934, loss: 0.2139 +2023-03-04 02:27:06,421 - mmseg - INFO - Iter [19300/160000] lr: 1.500e-04, eta: 9:24:34, time: 0.190, data_time: 0.007, memory: 52540, decode.loss_ce: 0.2141, decode.acc_seg: 91.2857, loss: 0.2141 +2023-03-04 02:27:15,921 - mmseg - INFO - Iter [19350/160000] lr: 1.500e-04, eta: 9:24:04, time: 0.190, data_time: 0.007, memory: 52540, decode.loss_ce: 0.2166, decode.acc_seg: 91.3359, loss: 0.2166 +2023-03-04 02:27:25,691 - mmseg - INFO - Iter [19400/160000] lr: 1.500e-04, eta: 9:23:35, time: 0.195, data_time: 0.007, memory: 52540, decode.loss_ce: 0.2127, decode.acc_seg: 91.3389, loss: 0.2127 +2023-03-04 02:27:35,372 - mmseg - INFO - Iter [19450/160000] lr: 1.500e-04, eta: 9:23:06, time: 0.194, data_time: 0.007, memory: 52540, decode.loss_ce: 0.2191, decode.acc_seg: 91.1725, loss: 0.2191 +2023-03-04 02:27:44,864 - mmseg - INFO - Iter [19500/160000] lr: 1.500e-04, eta: 9:22:36, time: 0.190, data_time: 0.007, memory: 52540, decode.loss_ce: 0.2115, decode.acc_seg: 91.4180, loss: 0.2115 +2023-03-04 02:27:54,509 - mmseg - INFO - Iter [19550/160000] lr: 1.500e-04, eta: 9:22:07, time: 0.193, data_time: 0.007, memory: 52540, decode.loss_ce: 0.2120, decode.acc_seg: 91.3051, loss: 0.2120 +2023-03-04 02:28:06,600 - mmseg - INFO - Iter [19600/160000] lr: 1.500e-04, eta: 9:21:56, time: 0.242, data_time: 0.053, memory: 52540, decode.loss_ce: 0.2139, decode.acc_seg: 91.2919, loss: 0.2139 +2023-03-04 02:28:16,187 - mmseg - INFO - Iter [19650/160000] lr: 1.500e-04, eta: 9:21:26, time: 0.192, data_time: 0.007, memory: 52540, decode.loss_ce: 0.2088, decode.acc_seg: 91.4702, loss: 0.2088 +2023-03-04 02:28:25,744 - mmseg - INFO - Iter [19700/160000] lr: 1.500e-04, eta: 9:20:57, time: 0.191, data_time: 0.007, memory: 52540, decode.loss_ce: 0.2150, decode.acc_seg: 91.2084, loss: 0.2150 +2023-03-04 02:28:35,404 - mmseg - INFO - Iter [19750/160000] lr: 1.500e-04, eta: 9:20:29, time: 0.193, data_time: 0.007, memory: 52540, decode.loss_ce: 0.2140, decode.acc_seg: 91.3143, loss: 0.2140 +2023-03-04 02:28:44,980 - mmseg - INFO - Iter [19800/160000] lr: 1.500e-04, eta: 9:19:59, time: 0.191, data_time: 0.007, memory: 52540, decode.loss_ce: 0.2183, decode.acc_seg: 91.0943, loss: 0.2183 +2023-03-04 02:28:55,155 - mmseg - INFO - Iter [19850/160000] lr: 1.500e-04, eta: 9:19:35, time: 0.204, data_time: 0.007, memory: 52540, decode.loss_ce: 0.2106, decode.acc_seg: 91.5738, loss: 0.2106 +2023-03-04 02:29:04,799 - mmseg - INFO - Iter [19900/160000] lr: 1.500e-04, eta: 9:19:06, time: 0.193, data_time: 0.007, memory: 52540, decode.loss_ce: 0.2074, decode.acc_seg: 91.3980, loss: 0.2074 +2023-03-04 02:29:14,484 - mmseg - INFO - Iter [19950/160000] lr: 1.500e-04, eta: 9:18:38, time: 0.194, data_time: 0.007, memory: 52540, decode.loss_ce: 0.2144, decode.acc_seg: 91.2891, loss: 0.2144 +2023-03-04 02:29:24,009 - mmseg - INFO - Exp name: ablation_segformer_mit_b2_segformer_head_unet_fc_small_multi_step_ade_pretrained_freeze_embed_160k_ade20k151_finetune_ema_cos.py +2023-03-04 02:29:24,009 - mmseg - INFO - Iter [20000/160000] lr: 1.500e-04, eta: 9:18:09, time: 0.190, data_time: 0.007, memory: 52540, decode.loss_ce: 0.2114, decode.acc_seg: 91.3394, loss: 0.2114 +2023-03-04 02:29:33,737 - mmseg - INFO - Iter [20050/160000] lr: 7.500e-05, eta: 9:17:42, time: 0.194, data_time: 0.007, memory: 52540, decode.loss_ce: 0.2051, decode.acc_seg: 91.7573, loss: 0.2051 +2023-03-04 02:29:43,279 - mmseg - INFO - Iter [20100/160000] lr: 7.500e-05, eta: 9:17:13, time: 0.191, data_time: 0.007, memory: 52540, decode.loss_ce: 0.2033, decode.acc_seg: 91.6705, loss: 0.2033 +2023-03-04 02:29:52,817 - mmseg - INFO - Iter [20150/160000] lr: 7.500e-05, eta: 9:16:44, time: 0.191, data_time: 0.007, memory: 52540, decode.loss_ce: 0.2087, decode.acc_seg: 91.3853, loss: 0.2087 +2023-03-04 02:30:04,999 - mmseg - INFO - Iter [20200/160000] lr: 7.500e-05, eta: 9:16:34, time: 0.244, data_time: 0.056, memory: 52540, decode.loss_ce: 0.2170, decode.acc_seg: 91.0383, loss: 0.2170 +2023-03-04 02:30:14,769 - mmseg - INFO - Iter [20250/160000] lr: 7.500e-05, eta: 9:16:07, time: 0.195, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1970, decode.acc_seg: 91.9437, loss: 0.1970 +2023-03-04 02:30:24,593 - mmseg - INFO - Iter [20300/160000] lr: 7.500e-05, eta: 9:15:40, time: 0.196, data_time: 0.007, memory: 52540, decode.loss_ce: 0.2138, decode.acc_seg: 91.3993, loss: 0.2138 +2023-03-04 02:30:34,113 - mmseg - INFO - Iter [20350/160000] lr: 7.500e-05, eta: 9:15:12, time: 0.190, data_time: 0.007, memory: 52540, decode.loss_ce: 0.2019, decode.acc_seg: 91.6490, loss: 0.2019 +2023-03-04 02:30:43,802 - mmseg - INFO - Iter [20400/160000] lr: 7.500e-05, eta: 9:14:45, time: 0.194, data_time: 0.007, memory: 52540, decode.loss_ce: 0.2076, decode.acc_seg: 91.5548, loss: 0.2076 +2023-03-04 02:30:53,654 - mmseg - INFO - Iter [20450/160000] lr: 7.500e-05, eta: 9:14:19, time: 0.197, data_time: 0.007, memory: 52540, decode.loss_ce: 0.2054, decode.acc_seg: 91.4379, loss: 0.2054 +2023-03-04 02:31:03,140 - mmseg - INFO - Iter [20500/160000] lr: 7.500e-05, eta: 9:13:50, time: 0.190, data_time: 0.007, memory: 52540, decode.loss_ce: 0.2051, decode.acc_seg: 91.6556, loss: 0.2051 +2023-03-04 02:31:12,935 - mmseg - INFO - Iter [20550/160000] lr: 7.500e-05, eta: 9:13:24, time: 0.196, data_time: 0.007, memory: 52540, decode.loss_ce: 0.2031, decode.acc_seg: 91.6986, loss: 0.2031 +2023-03-04 02:31:22,614 - mmseg - INFO - Iter [20600/160000] lr: 7.500e-05, eta: 9:12:57, time: 0.194, data_time: 0.007, memory: 52540, decode.loss_ce: 0.2061, decode.acc_seg: 91.7161, loss: 0.2061 +2023-03-04 02:31:32,458 - mmseg - INFO - Iter [20650/160000] lr: 7.500e-05, eta: 9:12:31, time: 0.197, data_time: 0.007, memory: 52540, decode.loss_ce: 0.2020, decode.acc_seg: 91.6740, loss: 0.2020 +2023-03-04 02:31:42,013 - mmseg - INFO - Iter [20700/160000] lr: 7.500e-05, eta: 9:12:04, time: 0.191, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1946, decode.acc_seg: 91.8580, loss: 0.1946 +2023-03-04 02:31:51,695 - mmseg - INFO - Iter [20750/160000] lr: 7.500e-05, eta: 9:11:37, time: 0.194, data_time: 0.007, memory: 52540, decode.loss_ce: 0.2042, decode.acc_seg: 91.5285, loss: 0.2042 +2023-03-04 02:32:01,282 - mmseg - INFO - Iter [20800/160000] lr: 7.500e-05, eta: 9:11:10, time: 0.192, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1955, decode.acc_seg: 91.8224, loss: 0.1955 +2023-03-04 02:32:13,371 - mmseg - INFO - Iter [20850/160000] lr: 7.500e-05, eta: 9:10:59, time: 0.242, data_time: 0.053, memory: 52540, decode.loss_ce: 0.2010, decode.acc_seg: 91.8103, loss: 0.2010 +2023-03-04 02:32:23,005 - mmseg - INFO - Iter [20900/160000] lr: 7.500e-05, eta: 9:10:32, time: 0.193, data_time: 0.007, memory: 52540, decode.loss_ce: 0.2104, decode.acc_seg: 91.4001, loss: 0.2104 +2023-03-04 02:32:32,586 - mmseg - INFO - Iter [20950/160000] lr: 7.500e-05, eta: 9:10:05, time: 0.192, data_time: 0.007, memory: 52540, decode.loss_ce: 0.2021, decode.acc_seg: 91.7341, loss: 0.2021 +2023-03-04 02:32:42,269 - mmseg - INFO - Exp name: ablation_segformer_mit_b2_segformer_head_unet_fc_small_multi_step_ade_pretrained_freeze_embed_160k_ade20k151_finetune_ema_cos.py +2023-03-04 02:32:42,269 - mmseg - INFO - Iter [21000/160000] lr: 7.500e-05, eta: 9:09:39, time: 0.194, data_time: 0.007, memory: 52540, decode.loss_ce: 0.2099, decode.acc_seg: 91.4804, loss: 0.2099 +2023-03-04 02:32:51,775 - mmseg - INFO - Iter [21050/160000] lr: 7.500e-05, eta: 9:09:11, time: 0.190, data_time: 0.007, memory: 52540, decode.loss_ce: 0.2079, decode.acc_seg: 91.6908, loss: 0.2079 +2023-03-04 02:33:01,587 - mmseg - INFO - Iter [21100/160000] lr: 7.500e-05, eta: 9:08:46, time: 0.196, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1983, decode.acc_seg: 91.7671, loss: 0.1983 +2023-03-04 02:33:11,188 - mmseg - INFO - Iter [21150/160000] lr: 7.500e-05, eta: 9:08:19, time: 0.192, data_time: 0.007, memory: 52540, decode.loss_ce: 0.2061, decode.acc_seg: 91.6306, loss: 0.2061 +2023-03-04 02:33:20,953 - mmseg - INFO - Iter [21200/160000] lr: 7.500e-05, eta: 9:07:54, time: 0.195, data_time: 0.007, memory: 52540, decode.loss_ce: 0.2023, decode.acc_seg: 91.6332, loss: 0.2023 +2023-03-04 02:33:30,782 - mmseg - INFO - Iter [21250/160000] lr: 7.500e-05, eta: 9:07:29, time: 0.197, data_time: 0.007, memory: 52540, decode.loss_ce: 0.2033, decode.acc_seg: 91.6937, loss: 0.2033 +2023-03-04 02:33:40,592 - mmseg - INFO - Iter [21300/160000] lr: 7.500e-05, eta: 9:07:04, time: 0.196, data_time: 0.007, memory: 52540, decode.loss_ce: 0.2040, decode.acc_seg: 91.6391, loss: 0.2040 +2023-03-04 02:33:50,113 - mmseg - INFO - Iter [21350/160000] lr: 7.500e-05, eta: 9:06:37, time: 0.190, data_time: 0.007, memory: 52540, decode.loss_ce: 0.2083, decode.acc_seg: 91.5815, loss: 0.2083 +2023-03-04 02:33:59,712 - mmseg - INFO - Iter [21400/160000] lr: 7.500e-05, eta: 9:06:11, time: 0.192, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1967, decode.acc_seg: 91.9292, loss: 0.1967 +2023-03-04 02:34:09,233 - mmseg - INFO - Iter [21450/160000] lr: 7.500e-05, eta: 9:05:44, time: 0.190, data_time: 0.007, memory: 52540, decode.loss_ce: 0.2056, decode.acc_seg: 91.6813, loss: 0.2056 +2023-03-04 02:34:21,425 - mmseg - INFO - Iter [21500/160000] lr: 7.500e-05, eta: 9:05:35, time: 0.244, data_time: 0.053, memory: 52540, decode.loss_ce: 0.1967, decode.acc_seg: 92.0997, loss: 0.1967 +2023-03-04 02:34:31,064 - mmseg - INFO - Iter [21550/160000] lr: 7.500e-05, eta: 9:05:09, time: 0.193, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1992, decode.acc_seg: 91.8930, loss: 0.1992 +2023-03-04 02:34:40,670 - mmseg - INFO - Iter [21600/160000] lr: 7.500e-05, eta: 9:04:43, time: 0.192, data_time: 0.007, memory: 52540, decode.loss_ce: 0.2084, decode.acc_seg: 91.4700, loss: 0.2084 +2023-03-04 02:34:50,267 - mmseg - INFO - Iter [21650/160000] lr: 7.500e-05, eta: 9:04:17, time: 0.192, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1988, decode.acc_seg: 91.8233, loss: 0.1988 +2023-03-04 02:34:59,854 - mmseg - INFO - Iter [21700/160000] lr: 7.500e-05, eta: 9:03:51, time: 0.192, data_time: 0.007, memory: 52540, decode.loss_ce: 0.2010, decode.acc_seg: 91.7611, loss: 0.2010 +2023-03-04 02:35:09,446 - mmseg - INFO - Iter [21750/160000] lr: 7.500e-05, eta: 9:03:25, time: 0.192, data_time: 0.007, memory: 52540, decode.loss_ce: 0.2107, decode.acc_seg: 91.4211, loss: 0.2107 +2023-03-04 02:35:19,261 - mmseg - INFO - Iter [21800/160000] lr: 7.500e-05, eta: 9:03:01, time: 0.196, data_time: 0.007, memory: 52540, decode.loss_ce: 0.2124, decode.acc_seg: 91.5225, loss: 0.2124 +2023-03-04 02:35:28,724 - mmseg - INFO - Iter [21850/160000] lr: 7.500e-05, eta: 9:02:34, time: 0.189, data_time: 0.007, memory: 52540, decode.loss_ce: 0.2040, decode.acc_seg: 91.6410, loss: 0.2040 +2023-03-04 02:35:38,451 - mmseg - INFO - Iter [21900/160000] lr: 7.500e-05, eta: 9:02:10, time: 0.195, data_time: 0.007, memory: 52540, decode.loss_ce: 0.2054, decode.acc_seg: 91.6109, loss: 0.2054 +2023-03-04 02:35:48,595 - mmseg - INFO - Iter [21950/160000] lr: 7.500e-05, eta: 9:01:48, time: 0.203, data_time: 0.007, memory: 52540, decode.loss_ce: 0.2050, decode.acc_seg: 91.6364, loss: 0.2050 +2023-03-04 02:35:58,115 - mmseg - INFO - Exp name: ablation_segformer_mit_b2_segformer_head_unet_fc_small_multi_step_ade_pretrained_freeze_embed_160k_ade20k151_finetune_ema_cos.py +2023-03-04 02:35:58,115 - mmseg - INFO - Iter [22000/160000] lr: 7.500e-05, eta: 9:01:22, time: 0.190, data_time: 0.007, memory: 52540, decode.loss_ce: 0.2021, decode.acc_seg: 91.7770, loss: 0.2021 +2023-03-04 02:36:07,792 - mmseg - INFO - Iter [22050/160000] lr: 7.500e-05, eta: 9:00:57, time: 0.194, data_time: 0.007, memory: 52540, decode.loss_ce: 0.2062, decode.acc_seg: 91.6729, loss: 0.2062 +2023-03-04 02:36:19,999 - mmseg - INFO - Iter [22100/160000] lr: 7.500e-05, eta: 9:00:48, time: 0.244, data_time: 0.057, memory: 52540, decode.loss_ce: 0.1994, decode.acc_seg: 91.6820, loss: 0.1994 +2023-03-04 02:36:29,629 - mmseg - INFO - Iter [22150/160000] lr: 7.500e-05, eta: 9:00:23, time: 0.193, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1974, decode.acc_seg: 91.7861, loss: 0.1974 +2023-03-04 02:36:39,667 - mmseg - INFO - Iter [22200/160000] lr: 7.500e-05, eta: 9:00:00, time: 0.200, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1945, decode.acc_seg: 92.0444, loss: 0.1945 +2023-03-04 02:36:49,677 - mmseg - INFO - Iter [22250/160000] lr: 7.500e-05, eta: 8:59:38, time: 0.200, data_time: 0.007, memory: 52540, decode.loss_ce: 0.2026, decode.acc_seg: 91.6576, loss: 0.2026 +2023-03-04 02:36:59,525 - mmseg - INFO - Iter [22300/160000] lr: 7.500e-05, eta: 8:59:14, time: 0.197, data_time: 0.007, memory: 52540, decode.loss_ce: 0.2019, decode.acc_seg: 91.6858, loss: 0.2019 +2023-03-04 02:37:09,060 - mmseg - INFO - Iter [22350/160000] lr: 7.500e-05, eta: 8:58:49, time: 0.191, data_time: 0.007, memory: 52540, decode.loss_ce: 0.2074, decode.acc_seg: 91.4564, loss: 0.2074 +2023-03-04 02:37:18,671 - mmseg - INFO - Iter [22400/160000] lr: 7.500e-05, eta: 8:58:24, time: 0.192, data_time: 0.007, memory: 52540, decode.loss_ce: 0.2048, decode.acc_seg: 91.6608, loss: 0.2048 +2023-03-04 02:37:28,325 - mmseg - INFO - Iter [22450/160000] lr: 7.500e-05, eta: 8:58:00, time: 0.193, data_time: 0.007, memory: 52540, decode.loss_ce: 0.2019, decode.acc_seg: 91.6764, loss: 0.2019 +2023-03-04 02:37:38,222 - mmseg - INFO - Iter [22500/160000] lr: 7.500e-05, eta: 8:57:37, time: 0.198, data_time: 0.007, memory: 52540, decode.loss_ce: 0.2018, decode.acc_seg: 91.7510, loss: 0.2018 +2023-03-04 02:37:47,809 - mmseg - INFO - Iter [22550/160000] lr: 7.500e-05, eta: 8:57:12, time: 0.192, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1961, decode.acc_seg: 91.9154, loss: 0.1961 +2023-03-04 02:37:57,437 - mmseg - INFO - Iter [22600/160000] lr: 7.500e-05, eta: 8:56:47, time: 0.193, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1999, decode.acc_seg: 91.8370, loss: 0.1999 +2023-03-04 02:38:07,119 - mmseg - INFO - Iter [22650/160000] lr: 7.500e-05, eta: 8:56:23, time: 0.194, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1968, decode.acc_seg: 91.8323, loss: 0.1968 +2023-03-04 02:38:16,623 - mmseg - INFO - Iter [22700/160000] lr: 7.500e-05, eta: 8:55:58, time: 0.190, data_time: 0.007, memory: 52540, decode.loss_ce: 0.2049, decode.acc_seg: 91.5529, loss: 0.2049 +2023-03-04 02:38:28,720 - mmseg - INFO - Iter [22750/160000] lr: 7.500e-05, eta: 8:55:49, time: 0.242, data_time: 0.055, memory: 52540, decode.loss_ce: 0.2044, decode.acc_seg: 91.5766, loss: 0.2044 +2023-03-04 02:38:38,326 - mmseg - INFO - Iter [22800/160000] lr: 7.500e-05, eta: 8:55:24, time: 0.192, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1982, decode.acc_seg: 91.8725, loss: 0.1982 +2023-03-04 02:38:47,946 - mmseg - INFO - Iter [22850/160000] lr: 7.500e-05, eta: 8:55:00, time: 0.192, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1972, decode.acc_seg: 91.8254, loss: 0.1972 +2023-03-04 02:38:57,540 - mmseg - INFO - Iter [22900/160000] lr: 7.500e-05, eta: 8:54:36, time: 0.192, data_time: 0.007, memory: 52540, decode.loss_ce: 0.2091, decode.acc_seg: 91.5354, loss: 0.2091 +2023-03-04 02:39:07,064 - mmseg - INFO - Iter [22950/160000] lr: 7.500e-05, eta: 8:54:11, time: 0.190, data_time: 0.007, memory: 52540, decode.loss_ce: 0.2006, decode.acc_seg: 91.6202, loss: 0.2006 +2023-03-04 02:39:16,798 - mmseg - INFO - Exp name: ablation_segformer_mit_b2_segformer_head_unet_fc_small_multi_step_ade_pretrained_freeze_embed_160k_ade20k151_finetune_ema_cos.py +2023-03-04 02:39:16,799 - mmseg - INFO - Iter [23000/160000] lr: 7.500e-05, eta: 8:53:48, time: 0.195, data_time: 0.007, memory: 52540, decode.loss_ce: 0.2002, decode.acc_seg: 91.7333, loss: 0.2002 +2023-03-04 02:39:26,458 - mmseg - INFO - Iter [23050/160000] lr: 7.500e-05, eta: 8:53:24, time: 0.193, data_time: 0.007, memory: 52540, decode.loss_ce: 0.2018, decode.acc_seg: 91.8760, loss: 0.2018 +2023-03-04 02:39:36,153 - mmseg - INFO - Iter [23100/160000] lr: 7.500e-05, eta: 8:53:00, time: 0.194, data_time: 0.007, memory: 52540, decode.loss_ce: 0.2014, decode.acc_seg: 91.6802, loss: 0.2014 +2023-03-04 02:39:45,861 - mmseg - INFO - Iter [23150/160000] lr: 7.500e-05, eta: 8:52:37, time: 0.194, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1925, decode.acc_seg: 92.0627, loss: 0.1925 +2023-03-04 02:39:55,678 - mmseg - INFO - Iter [23200/160000] lr: 7.500e-05, eta: 8:52:15, time: 0.196, data_time: 0.007, memory: 52540, decode.loss_ce: 0.2061, decode.acc_seg: 91.5572, loss: 0.2061 +2023-03-04 02:40:05,265 - mmseg - INFO - Iter [23250/160000] lr: 7.500e-05, eta: 8:51:51, time: 0.192, data_time: 0.007, memory: 52540, decode.loss_ce: 0.2031, decode.acc_seg: 91.6853, loss: 0.2031 +2023-03-04 02:40:14,804 - mmseg - INFO - Iter [23300/160000] lr: 7.500e-05, eta: 8:51:26, time: 0.191, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1980, decode.acc_seg: 91.8535, loss: 0.1980 +2023-03-04 02:40:26,964 - mmseg - INFO - Iter [23350/160000] lr: 7.500e-05, eta: 8:51:18, time: 0.243, data_time: 0.054, memory: 52540, decode.loss_ce: 0.2041, decode.acc_seg: 91.7057, loss: 0.2041 +2023-03-04 02:40:36,725 - mmseg - INFO - Iter [23400/160000] lr: 7.500e-05, eta: 8:50:55, time: 0.195, data_time: 0.006, memory: 52540, decode.loss_ce: 0.2068, decode.acc_seg: 91.5288, loss: 0.2068 +2023-03-04 02:40:46,444 - mmseg - INFO - Iter [23450/160000] lr: 7.500e-05, eta: 8:50:32, time: 0.194, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1983, decode.acc_seg: 91.9917, loss: 0.1983 +2023-03-04 02:40:56,408 - mmseg - INFO - Iter [23500/160000] lr: 7.500e-05, eta: 8:50:10, time: 0.200, data_time: 0.007, memory: 52540, decode.loss_ce: 0.2100, decode.acc_seg: 91.5513, loss: 0.2100 +2023-03-04 02:41:06,012 - mmseg - INFO - Iter [23550/160000] lr: 7.500e-05, eta: 8:49:47, time: 0.192, data_time: 0.007, memory: 52540, decode.loss_ce: 0.2032, decode.acc_seg: 91.5053, loss: 0.2032 +2023-03-04 02:41:15,524 - mmseg - INFO - Iter [23600/160000] lr: 7.500e-05, eta: 8:49:23, time: 0.190, data_time: 0.007, memory: 52540, decode.loss_ce: 0.2072, decode.acc_seg: 91.4869, loss: 0.2072 +2023-03-04 02:41:25,304 - mmseg - INFO - Iter [23650/160000] lr: 7.500e-05, eta: 8:49:01, time: 0.196, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1984, decode.acc_seg: 91.7742, loss: 0.1984 +2023-03-04 02:41:34,958 - mmseg - INFO - Iter [23700/160000] lr: 7.500e-05, eta: 8:48:38, time: 0.193, data_time: 0.007, memory: 52540, decode.loss_ce: 0.2063, decode.acc_seg: 91.6153, loss: 0.2063 +2023-03-04 02:41:45,039 - mmseg - INFO - Iter [23750/160000] lr: 7.500e-05, eta: 8:48:17, time: 0.202, data_time: 0.007, memory: 52540, decode.loss_ce: 0.2003, decode.acc_seg: 91.9261, loss: 0.2003 +2023-03-04 02:41:54,732 - mmseg - INFO - Iter [23800/160000] lr: 7.500e-05, eta: 8:47:54, time: 0.194, data_time: 0.007, memory: 52540, decode.loss_ce: 0.2137, decode.acc_seg: 91.3289, loss: 0.2137 +2023-03-04 02:42:04,427 - mmseg - INFO - Iter [23850/160000] lr: 7.500e-05, eta: 8:47:31, time: 0.194, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1974, decode.acc_seg: 91.7786, loss: 0.1974 +2023-03-04 02:42:14,451 - mmseg - INFO - Iter [23900/160000] lr: 7.500e-05, eta: 8:47:11, time: 0.201, data_time: 0.007, memory: 52540, decode.loss_ce: 0.2048, decode.acc_seg: 91.7429, loss: 0.2048 +2023-03-04 02:42:24,145 - mmseg - INFO - Iter [23950/160000] lr: 7.500e-05, eta: 8:46:48, time: 0.194, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1980, decode.acc_seg: 91.8798, loss: 0.1980 +2023-03-04 02:42:36,458 - mmseg - INFO - Exp name: ablation_segformer_mit_b2_segformer_head_unet_fc_small_multi_step_ade_pretrained_freeze_embed_160k_ade20k151_finetune_ema_cos.py +2023-03-04 02:42:36,459 - mmseg - INFO - Iter [24000/160000] lr: 7.500e-05, eta: 8:46:41, time: 0.246, data_time: 0.057, memory: 52540, decode.loss_ce: 0.2003, decode.acc_seg: 91.8833, loss: 0.2003 +2023-03-04 02:42:46,099 - mmseg - INFO - Iter [24050/160000] lr: 7.500e-05, eta: 8:46:18, time: 0.193, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1980, decode.acc_seg: 91.8903, loss: 0.1980 +2023-03-04 02:42:56,154 - mmseg - INFO - Iter [24100/160000] lr: 7.500e-05, eta: 8:45:57, time: 0.201, data_time: 0.007, memory: 52540, decode.loss_ce: 0.2055, decode.acc_seg: 91.5429, loss: 0.2055 +2023-03-04 02:43:06,092 - mmseg - INFO - Iter [24150/160000] lr: 7.500e-05, eta: 8:45:36, time: 0.199, data_time: 0.008, memory: 52540, decode.loss_ce: 0.1900, decode.acc_seg: 92.2399, loss: 0.1900 +2023-03-04 02:43:15,857 - mmseg - INFO - Iter [24200/160000] lr: 7.500e-05, eta: 8:45:14, time: 0.195, data_time: 0.007, memory: 52540, decode.loss_ce: 0.2040, decode.acc_seg: 91.6169, loss: 0.2040 +2023-03-04 02:43:25,536 - mmseg - INFO - Iter [24250/160000] lr: 7.500e-05, eta: 8:44:52, time: 0.194, data_time: 0.007, memory: 52540, decode.loss_ce: 0.2094, decode.acc_seg: 91.4384, loss: 0.2094 +2023-03-04 02:43:35,206 - mmseg - INFO - Iter [24300/160000] lr: 7.500e-05, eta: 8:44:30, time: 0.193, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1963, decode.acc_seg: 91.9996, loss: 0.1963 +2023-03-04 02:43:45,022 - mmseg - INFO - Iter [24350/160000] lr: 7.500e-05, eta: 8:44:08, time: 0.196, data_time: 0.007, memory: 52540, decode.loss_ce: 0.2047, decode.acc_seg: 91.6834, loss: 0.2047 +2023-03-04 02:43:55,170 - mmseg - INFO - Iter [24400/160000] lr: 7.500e-05, eta: 8:43:49, time: 0.203, data_time: 0.007, memory: 52540, decode.loss_ce: 0.2052, decode.acc_seg: 91.5714, loss: 0.2052 +2023-03-04 02:44:04,881 - mmseg - INFO - Iter [24450/160000] lr: 7.500e-05, eta: 8:43:27, time: 0.194, data_time: 0.007, memory: 52540, decode.loss_ce: 0.2072, decode.acc_seg: 91.6146, loss: 0.2072 +2023-03-04 02:44:14,788 - mmseg - INFO - Iter [24500/160000] lr: 7.500e-05, eta: 8:43:06, time: 0.198, data_time: 0.007, memory: 52540, decode.loss_ce: 0.2006, decode.acc_seg: 91.7522, loss: 0.2006 +2023-03-04 02:44:24,507 - mmseg - INFO - Iter [24550/160000] lr: 7.500e-05, eta: 8:42:44, time: 0.194, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1932, decode.acc_seg: 92.0231, loss: 0.1932 +2023-03-04 02:44:34,218 - mmseg - INFO - Iter [24600/160000] lr: 7.500e-05, eta: 8:42:22, time: 0.194, data_time: 0.007, memory: 52540, decode.loss_ce: 0.2032, decode.acc_seg: 91.7113, loss: 0.2032 +2023-03-04 02:44:46,382 - mmseg - INFO - Iter [24650/160000] lr: 7.500e-05, eta: 8:42:14, time: 0.243, data_time: 0.055, memory: 52540, decode.loss_ce: 0.1989, decode.acc_seg: 91.7007, loss: 0.1989 +2023-03-04 02:44:56,460 - mmseg - INFO - Iter [24700/160000] lr: 7.500e-05, eta: 8:41:54, time: 0.202, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1955, decode.acc_seg: 91.9593, loss: 0.1955 +2023-03-04 02:45:06,016 - mmseg - INFO - Iter [24750/160000] lr: 7.500e-05, eta: 8:41:31, time: 0.191, data_time: 0.007, memory: 52540, decode.loss_ce: 0.2018, decode.acc_seg: 91.7936, loss: 0.2018 +2023-03-04 02:45:15,932 - mmseg - INFO - Iter [24800/160000] lr: 7.500e-05, eta: 8:41:11, time: 0.198, data_time: 0.007, memory: 52540, decode.loss_ce: 0.2107, decode.acc_seg: 91.3880, loss: 0.2107 +2023-03-04 02:45:25,738 - mmseg - INFO - Iter [24850/160000] lr: 7.500e-05, eta: 8:40:49, time: 0.196, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1990, decode.acc_seg: 91.9191, loss: 0.1990 +2023-03-04 02:45:35,583 - mmseg - INFO - Iter [24900/160000] lr: 7.500e-05, eta: 8:40:29, time: 0.197, data_time: 0.007, memory: 52540, decode.loss_ce: 0.2071, decode.acc_seg: 91.6492, loss: 0.2071 +2023-03-04 02:45:45,274 - mmseg - INFO - Iter [24950/160000] lr: 7.500e-05, eta: 8:40:07, time: 0.194, data_time: 0.007, memory: 52540, decode.loss_ce: 0.2045, decode.acc_seg: 91.6375, loss: 0.2045 +2023-03-04 02:45:54,855 - mmseg - INFO - Exp name: ablation_segformer_mit_b2_segformer_head_unet_fc_small_multi_step_ade_pretrained_freeze_embed_160k_ade20k151_finetune_ema_cos.py +2023-03-04 02:45:54,855 - mmseg - INFO - Iter [25000/160000] lr: 7.500e-05, eta: 8:39:45, time: 0.192, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1993, decode.acc_seg: 91.7985, loss: 0.1993 +2023-03-04 02:46:04,590 - mmseg - INFO - Iter [25050/160000] lr: 7.500e-05, eta: 8:39:23, time: 0.195, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1990, decode.acc_seg: 91.7550, loss: 0.1990 +2023-03-04 02:46:14,087 - mmseg - INFO - Iter [25100/160000] lr: 7.500e-05, eta: 8:39:01, time: 0.190, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1960, decode.acc_seg: 91.9895, loss: 0.1960 +2023-03-04 02:46:23,677 - mmseg - INFO - Iter [25150/160000] lr: 7.500e-05, eta: 8:38:39, time: 0.192, data_time: 0.007, memory: 52540, decode.loss_ce: 0.2062, decode.acc_seg: 91.6432, loss: 0.2062 +2023-03-04 02:46:33,313 - mmseg - INFO - Iter [25200/160000] lr: 7.500e-05, eta: 8:38:17, time: 0.193, data_time: 0.007, memory: 52540, decode.loss_ce: 0.2027, decode.acc_seg: 91.6053, loss: 0.2027 +2023-03-04 02:46:45,423 - mmseg - INFO - Iter [25250/160000] lr: 7.500e-05, eta: 8:38:09, time: 0.242, data_time: 0.055, memory: 52540, decode.loss_ce: 0.1880, decode.acc_seg: 92.1297, loss: 0.1880 +2023-03-04 02:46:55,215 - mmseg - INFO - Iter [25300/160000] lr: 7.500e-05, eta: 8:37:48, time: 0.196, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1994, decode.acc_seg: 91.9209, loss: 0.1994 +2023-03-04 02:47:04,695 - mmseg - INFO - Iter [25350/160000] lr: 7.500e-05, eta: 8:37:25, time: 0.190, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1983, decode.acc_seg: 91.9231, loss: 0.1983 +2023-03-04 02:47:14,211 - mmseg - INFO - Iter [25400/160000] lr: 7.500e-05, eta: 8:37:03, time: 0.190, data_time: 0.007, memory: 52540, decode.loss_ce: 0.2004, decode.acc_seg: 91.8935, loss: 0.2004 +2023-03-04 02:47:23,989 - mmseg - INFO - Iter [25450/160000] lr: 7.500e-05, eta: 8:36:42, time: 0.196, data_time: 0.007, memory: 52540, decode.loss_ce: 0.2012, decode.acc_seg: 91.7748, loss: 0.2012 +2023-03-04 02:47:33,780 - mmseg - INFO - Iter [25500/160000] lr: 7.500e-05, eta: 8:36:22, time: 0.196, data_time: 0.007, memory: 52540, decode.loss_ce: 0.2016, decode.acc_seg: 91.6868, loss: 0.2016 +2023-03-04 02:47:43,403 - mmseg - INFO - Iter [25550/160000] lr: 7.500e-05, eta: 8:36:00, time: 0.192, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1994, decode.acc_seg: 91.7951, loss: 0.1994 +2023-03-04 02:47:53,068 - mmseg - INFO - Iter [25600/160000] lr: 7.500e-05, eta: 8:35:39, time: 0.193, data_time: 0.007, memory: 52540, decode.loss_ce: 0.2119, decode.acc_seg: 91.4578, loss: 0.2119 +2023-03-04 02:48:02,705 - mmseg - INFO - Iter [25650/160000] lr: 7.500e-05, eta: 8:35:18, time: 0.193, data_time: 0.007, memory: 52540, decode.loss_ce: 0.2048, decode.acc_seg: 91.6490, loss: 0.2048 +2023-03-04 02:48:12,227 - mmseg - INFO - Iter [25700/160000] lr: 7.500e-05, eta: 8:34:56, time: 0.190, data_time: 0.007, memory: 52540, decode.loss_ce: 0.2069, decode.acc_seg: 91.4053, loss: 0.2069 +2023-03-04 02:48:21,940 - mmseg - INFO - Iter [25750/160000] lr: 7.500e-05, eta: 8:34:35, time: 0.194, data_time: 0.007, memory: 52540, decode.loss_ce: 0.2049, decode.acc_seg: 91.5440, loss: 0.2049 +2023-03-04 02:48:31,568 - mmseg - INFO - Iter [25800/160000] lr: 7.500e-05, eta: 8:34:14, time: 0.193, data_time: 0.007, memory: 52540, decode.loss_ce: 0.2112, decode.acc_seg: 91.3645, loss: 0.2112 +2023-03-04 02:48:41,423 - mmseg - INFO - Iter [25850/160000] lr: 7.500e-05, eta: 8:33:54, time: 0.197, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1974, decode.acc_seg: 91.9083, loss: 0.1974 +2023-03-04 02:48:53,523 - mmseg - INFO - Iter [25900/160000] lr: 7.500e-05, eta: 8:33:45, time: 0.242, data_time: 0.055, memory: 52540, decode.loss_ce: 0.1999, decode.acc_seg: 91.8713, loss: 0.1999 +2023-03-04 02:49:03,074 - mmseg - INFO - Iter [25950/160000] lr: 7.500e-05, eta: 8:33:24, time: 0.191, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1871, decode.acc_seg: 92.3194, loss: 0.1871 +2023-03-04 02:49:12,789 - mmseg - INFO - Exp name: ablation_segformer_mit_b2_segformer_head_unet_fc_small_multi_step_ade_pretrained_freeze_embed_160k_ade20k151_finetune_ema_cos.py +2023-03-04 02:49:12,789 - mmseg - INFO - Iter [26000/160000] lr: 7.500e-05, eta: 8:33:03, time: 0.194, data_time: 0.007, memory: 52540, decode.loss_ce: 0.2057, decode.acc_seg: 91.5204, loss: 0.2057 +2023-03-04 02:49:22,656 - mmseg - INFO - Iter [26050/160000] lr: 7.500e-05, eta: 8:32:44, time: 0.197, data_time: 0.007, memory: 52540, decode.loss_ce: 0.2015, decode.acc_seg: 91.6909, loss: 0.2015 +2023-03-04 02:49:32,337 - mmseg - INFO - Iter [26100/160000] lr: 7.500e-05, eta: 8:32:23, time: 0.193, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1972, decode.acc_seg: 91.7490, loss: 0.1972 +2023-03-04 02:49:42,396 - mmseg - INFO - Iter [26150/160000] lr: 7.500e-05, eta: 8:32:04, time: 0.201, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1972, decode.acc_seg: 91.9282, loss: 0.1972 +2023-03-04 02:49:52,153 - mmseg - INFO - Iter [26200/160000] lr: 7.500e-05, eta: 8:31:44, time: 0.195, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1989, decode.acc_seg: 91.8376, loss: 0.1989 +2023-03-04 02:50:02,004 - mmseg - INFO - Iter [26250/160000] lr: 7.500e-05, eta: 8:31:24, time: 0.197, data_time: 0.007, memory: 52540, decode.loss_ce: 0.2045, decode.acc_seg: 91.6119, loss: 0.2045 +2023-03-04 02:50:11,616 - mmseg - INFO - Iter [26300/160000] lr: 7.500e-05, eta: 8:31:03, time: 0.192, data_time: 0.007, memory: 52540, decode.loss_ce: 0.2092, decode.acc_seg: 91.5652, loss: 0.2092 +2023-03-04 02:50:21,419 - mmseg - INFO - Iter [26350/160000] lr: 7.500e-05, eta: 8:30:43, time: 0.196, data_time: 0.008, memory: 52540, decode.loss_ce: 0.2109, decode.acc_seg: 91.5143, loss: 0.2109 +2023-03-04 02:50:31,318 - mmseg - INFO - Iter [26400/160000] lr: 7.500e-05, eta: 8:30:24, time: 0.198, data_time: 0.007, memory: 52540, decode.loss_ce: 0.2021, decode.acc_seg: 91.8654, loss: 0.2021 +2023-03-04 02:50:40,829 - mmseg - INFO - Iter [26450/160000] lr: 7.500e-05, eta: 8:30:02, time: 0.190, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1960, decode.acc_seg: 91.8822, loss: 0.1960 +2023-03-04 02:50:50,502 - mmseg - INFO - Iter [26500/160000] lr: 7.500e-05, eta: 8:29:42, time: 0.193, data_time: 0.007, memory: 52540, decode.loss_ce: 0.2081, decode.acc_seg: 91.8203, loss: 0.2081 +2023-03-04 02:51:03,331 - mmseg - INFO - Iter [26550/160000] lr: 7.500e-05, eta: 8:29:37, time: 0.257, data_time: 0.059, memory: 52540, decode.loss_ce: 0.2002, decode.acc_seg: 91.9660, loss: 0.2002 +2023-03-04 02:51:13,103 - mmseg - INFO - Iter [26600/160000] lr: 7.500e-05, eta: 8:29:18, time: 0.195, data_time: 0.007, memory: 52540, decode.loss_ce: 0.2026, decode.acc_seg: 91.7149, loss: 0.2026 +2023-03-04 02:51:22,622 - mmseg - INFO - Iter [26650/160000] lr: 7.500e-05, eta: 8:28:56, time: 0.190, data_time: 0.007, memory: 52540, decode.loss_ce: 0.2015, decode.acc_seg: 91.7892, loss: 0.2015 +2023-03-04 02:51:32,182 - mmseg - INFO - Iter [26700/160000] lr: 7.500e-05, eta: 8:28:36, time: 0.191, data_time: 0.007, memory: 52540, decode.loss_ce: 0.2040, decode.acc_seg: 91.6511, loss: 0.2040 +2023-03-04 02:51:41,684 - mmseg - INFO - Iter [26750/160000] lr: 7.500e-05, eta: 8:28:14, time: 0.190, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1964, decode.acc_seg: 91.9682, loss: 0.1964 +2023-03-04 02:51:51,302 - mmseg - INFO - Iter [26800/160000] lr: 7.500e-05, eta: 8:27:54, time: 0.192, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1997, decode.acc_seg: 91.8775, loss: 0.1997 +2023-03-04 02:52:00,912 - mmseg - INFO - Iter [26850/160000] lr: 7.500e-05, eta: 8:27:33, time: 0.192, data_time: 0.007, memory: 52540, decode.loss_ce: 0.2102, decode.acc_seg: 91.4407, loss: 0.2102 +2023-03-04 02:52:10,859 - mmseg - INFO - Iter [26900/160000] lr: 7.500e-05, eta: 8:27:15, time: 0.199, data_time: 0.007, memory: 52540, decode.loss_ce: 0.2010, decode.acc_seg: 91.6192, loss: 0.2010 +2023-03-04 02:52:20,678 - mmseg - INFO - Iter [26950/160000] lr: 7.500e-05, eta: 8:26:55, time: 0.197, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1956, decode.acc_seg: 91.8734, loss: 0.1956 +2023-03-04 02:52:30,239 - mmseg - INFO - Exp name: ablation_segformer_mit_b2_segformer_head_unet_fc_small_multi_step_ade_pretrained_freeze_embed_160k_ade20k151_finetune_ema_cos.py +2023-03-04 02:52:30,239 - mmseg - INFO - Iter [27000/160000] lr: 7.500e-05, eta: 8:26:35, time: 0.191, data_time: 0.007, memory: 52540, decode.loss_ce: 0.2043, decode.acc_seg: 91.6179, loss: 0.2043 +2023-03-04 02:52:40,202 - mmseg - INFO - Iter [27050/160000] lr: 7.500e-05, eta: 8:26:16, time: 0.199, data_time: 0.007, memory: 52540, decode.loss_ce: 0.2010, decode.acc_seg: 91.8761, loss: 0.2010 +2023-03-04 02:52:49,869 - mmseg - INFO - Iter [27100/160000] lr: 7.500e-05, eta: 8:25:56, time: 0.193, data_time: 0.007, memory: 52540, decode.loss_ce: 0.2028, decode.acc_seg: 91.7191, loss: 0.2028 +2023-03-04 02:53:02,162 - mmseg - INFO - Iter [27150/160000] lr: 7.500e-05, eta: 8:25:49, time: 0.246, data_time: 0.055, memory: 52540, decode.loss_ce: 0.1976, decode.acc_seg: 91.7950, loss: 0.1976 +2023-03-04 02:53:11,838 - mmseg - INFO - Iter [27200/160000] lr: 7.500e-05, eta: 8:25:29, time: 0.194, data_time: 0.007, memory: 52540, decode.loss_ce: 0.2006, decode.acc_seg: 91.7436, loss: 0.2006 +2023-03-04 02:53:21,375 - mmseg - INFO - Iter [27250/160000] lr: 7.500e-05, eta: 8:25:08, time: 0.191, data_time: 0.007, memory: 52540, decode.loss_ce: 0.2014, decode.acc_seg: 91.7689, loss: 0.2014 +2023-03-04 02:53:31,121 - mmseg - INFO - Iter [27300/160000] lr: 7.500e-05, eta: 8:24:49, time: 0.195, data_time: 0.007, memory: 52540, decode.loss_ce: 0.2094, decode.acc_seg: 91.4240, loss: 0.2094 +2023-03-04 02:53:40,646 - mmseg - INFO - Iter [27350/160000] lr: 7.500e-05, eta: 8:24:28, time: 0.191, data_time: 0.007, memory: 52540, decode.loss_ce: 0.2058, decode.acc_seg: 91.5106, loss: 0.2058 +2023-03-04 02:53:50,295 - mmseg - INFO - Iter [27400/160000] lr: 7.500e-05, eta: 8:24:08, time: 0.193, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1883, decode.acc_seg: 92.3423, loss: 0.1883 +2023-03-04 02:53:59,942 - mmseg - INFO - Iter [27450/160000] lr: 7.500e-05, eta: 8:23:48, time: 0.193, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1973, decode.acc_seg: 91.8183, loss: 0.1973 +2023-03-04 02:54:09,436 - mmseg - INFO - Iter [27500/160000] lr: 7.500e-05, eta: 8:23:28, time: 0.190, data_time: 0.007, memory: 52540, decode.loss_ce: 0.2053, decode.acc_seg: 91.5913, loss: 0.2053 +2023-03-04 02:54:19,097 - mmseg - INFO - Iter [27550/160000] lr: 7.500e-05, eta: 8:23:08, time: 0.193, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1957, decode.acc_seg: 92.0555, loss: 0.1957 +2023-03-04 02:54:29,134 - mmseg - INFO - Iter [27600/160000] lr: 7.500e-05, eta: 8:22:50, time: 0.201, data_time: 0.007, memory: 52540, decode.loss_ce: 0.2024, decode.acc_seg: 91.8172, loss: 0.2024 +2023-03-04 02:54:38,663 - mmseg - INFO - Iter [27650/160000] lr: 7.500e-05, eta: 8:22:30, time: 0.191, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1910, decode.acc_seg: 92.1865, loss: 0.1910 +2023-03-04 02:54:48,520 - mmseg - INFO - Iter [27700/160000] lr: 7.500e-05, eta: 8:22:11, time: 0.197, data_time: 0.007, memory: 52540, decode.loss_ce: 0.2046, decode.acc_seg: 91.6243, loss: 0.2046 +2023-03-04 02:54:58,256 - mmseg - INFO - Iter [27750/160000] lr: 7.500e-05, eta: 8:21:52, time: 0.195, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1970, decode.acc_seg: 91.7971, loss: 0.1970 +2023-03-04 02:55:10,393 - mmseg - INFO - Iter [27800/160000] lr: 7.500e-05, eta: 8:21:44, time: 0.243, data_time: 0.054, memory: 52540, decode.loss_ce: 0.2112, decode.acc_seg: 91.5524, loss: 0.2112 +2023-03-04 02:55:19,927 - mmseg - INFO - Iter [27850/160000] lr: 7.500e-05, eta: 8:21:24, time: 0.191, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1988, decode.acc_seg: 91.9704, loss: 0.1988 +2023-03-04 02:55:29,721 - mmseg - INFO - Iter [27900/160000] lr: 7.500e-05, eta: 8:21:05, time: 0.196, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1972, decode.acc_seg: 91.9112, loss: 0.1972 +2023-03-04 02:55:39,437 - mmseg - INFO - Iter [27950/160000] lr: 7.500e-05, eta: 8:20:46, time: 0.194, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1949, decode.acc_seg: 91.9393, loss: 0.1949 +2023-03-04 02:55:49,282 - mmseg - INFO - Exp name: ablation_segformer_mit_b2_segformer_head_unet_fc_small_multi_step_ade_pretrained_freeze_embed_160k_ade20k151_finetune_ema_cos.py +2023-03-04 02:55:49,282 - mmseg - INFO - Iter [28000/160000] lr: 7.500e-05, eta: 8:20:27, time: 0.197, data_time: 0.007, memory: 52540, decode.loss_ce: 0.2079, decode.acc_seg: 91.5264, loss: 0.2079 +2023-03-04 02:55:58,860 - mmseg - INFO - Iter [28050/160000] lr: 7.500e-05, eta: 8:20:07, time: 0.192, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1986, decode.acc_seg: 91.8418, loss: 0.1986 +2023-03-04 02:56:08,627 - mmseg - INFO - Iter [28100/160000] lr: 7.500e-05, eta: 8:19:48, time: 0.195, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1981, decode.acc_seg: 91.8636, loss: 0.1981 +2023-03-04 02:56:18,247 - mmseg - INFO - Iter [28150/160000] lr: 7.500e-05, eta: 8:19:29, time: 0.192, data_time: 0.007, memory: 52540, decode.loss_ce: 0.2040, decode.acc_seg: 91.6557, loss: 0.2040 +2023-03-04 02:56:27,986 - mmseg - INFO - Iter [28200/160000] lr: 7.500e-05, eta: 8:19:10, time: 0.195, data_time: 0.007, memory: 52540, decode.loss_ce: 0.2115, decode.acc_seg: 91.5685, loss: 0.2115 +2023-03-04 02:56:37,684 - mmseg - INFO - Iter [28250/160000] lr: 7.500e-05, eta: 8:18:51, time: 0.194, data_time: 0.007, memory: 52540, decode.loss_ce: 0.2033, decode.acc_seg: 91.6360, loss: 0.2033 +2023-03-04 02:56:47,184 - mmseg - INFO - Iter [28300/160000] lr: 7.500e-05, eta: 8:18:31, time: 0.190, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1996, decode.acc_seg: 91.7758, loss: 0.1996 +2023-03-04 02:56:56,820 - mmseg - INFO - Iter [28350/160000] lr: 7.500e-05, eta: 8:18:11, time: 0.192, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1956, decode.acc_seg: 91.9368, loss: 0.1956 +2023-03-04 02:57:09,179 - mmseg - INFO - Iter [28400/160000] lr: 7.500e-05, eta: 8:18:04, time: 0.247, data_time: 0.054, memory: 52540, decode.loss_ce: 0.1971, decode.acc_seg: 91.8148, loss: 0.1971 +2023-03-04 02:57:18,982 - mmseg - INFO - Iter [28450/160000] lr: 7.500e-05, eta: 8:17:46, time: 0.196, data_time: 0.007, memory: 52540, decode.loss_ce: 0.2025, decode.acc_seg: 91.6802, loss: 0.2025 +2023-03-04 02:57:28,548 - mmseg - INFO - Iter [28500/160000] lr: 7.500e-05, eta: 8:17:26, time: 0.191, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1938, decode.acc_seg: 91.9921, loss: 0.1938 +2023-03-04 02:57:38,286 - mmseg - INFO - Iter [28550/160000] lr: 7.500e-05, eta: 8:17:08, time: 0.195, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1994, decode.acc_seg: 91.9366, loss: 0.1994 +2023-03-04 02:57:48,012 - mmseg - INFO - Iter [28600/160000] lr: 7.500e-05, eta: 8:16:49, time: 0.194, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1974, decode.acc_seg: 91.8402, loss: 0.1974 +2023-03-04 02:57:57,694 - mmseg - INFO - Iter [28650/160000] lr: 7.500e-05, eta: 8:16:30, time: 0.194, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1952, decode.acc_seg: 92.0367, loss: 0.1952 +2023-03-04 02:58:07,868 - mmseg - INFO - Iter [28700/160000] lr: 7.500e-05, eta: 8:16:13, time: 0.203, data_time: 0.007, memory: 52540, decode.loss_ce: 0.2027, decode.acc_seg: 91.7797, loss: 0.2027 +2023-03-04 02:58:17,542 - mmseg - INFO - Iter [28750/160000] lr: 7.500e-05, eta: 8:15:54, time: 0.193, data_time: 0.007, memory: 52540, decode.loss_ce: 0.2039, decode.acc_seg: 91.6974, loss: 0.2039 +2023-03-04 02:58:27,278 - mmseg - INFO - Iter [28800/160000] lr: 7.500e-05, eta: 8:15:36, time: 0.195, data_time: 0.007, memory: 52540, decode.loss_ce: 0.2080, decode.acc_seg: 91.5374, loss: 0.2080 +2023-03-04 02:58:37,083 - mmseg - INFO - Iter [28850/160000] lr: 7.500e-05, eta: 8:15:17, time: 0.196, data_time: 0.007, memory: 52540, decode.loss_ce: 0.2072, decode.acc_seg: 91.5505, loss: 0.2072 +2023-03-04 02:58:46,949 - mmseg - INFO - Iter [28900/160000] lr: 7.500e-05, eta: 8:14:59, time: 0.198, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1979, decode.acc_seg: 91.8444, loss: 0.1979 +2023-03-04 02:58:56,707 - mmseg - INFO - Iter [28950/160000] lr: 7.500e-05, eta: 8:14:41, time: 0.195, data_time: 0.007, memory: 52540, decode.loss_ce: 0.2055, decode.acc_seg: 91.6543, loss: 0.2055 +2023-03-04 02:59:06,300 - mmseg - INFO - Exp name: ablation_segformer_mit_b2_segformer_head_unet_fc_small_multi_step_ade_pretrained_freeze_embed_160k_ade20k151_finetune_ema_cos.py +2023-03-04 02:59:06,300 - mmseg - INFO - Iter [29000/160000] lr: 7.500e-05, eta: 8:14:22, time: 0.192, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1993, decode.acc_seg: 91.6739, loss: 0.1993 +2023-03-04 02:59:18,488 - mmseg - INFO - Iter [29050/160000] lr: 7.500e-05, eta: 8:14:14, time: 0.244, data_time: 0.057, memory: 52540, decode.loss_ce: 0.1955, decode.acc_seg: 91.9660, loss: 0.1955 +2023-03-04 02:59:28,228 - mmseg - INFO - Iter [29100/160000] lr: 7.500e-05, eta: 8:13:56, time: 0.195, data_time: 0.007, memory: 52540, decode.loss_ce: 0.2032, decode.acc_seg: 91.6770, loss: 0.2032 +2023-03-04 02:59:38,147 - mmseg - INFO - Iter [29150/160000] lr: 7.500e-05, eta: 8:13:38, time: 0.198, data_time: 0.007, memory: 52540, decode.loss_ce: 0.2001, decode.acc_seg: 91.7927, loss: 0.2001 +2023-03-04 02:59:47,788 - mmseg - INFO - Iter [29200/160000] lr: 7.500e-05, eta: 8:13:20, time: 0.193, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1948, decode.acc_seg: 91.9701, loss: 0.1948 +2023-03-04 02:59:57,386 - mmseg - INFO - Iter [29250/160000] lr: 7.500e-05, eta: 8:13:01, time: 0.192, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1977, decode.acc_seg: 91.8040, loss: 0.1977 +2023-03-04 03:00:07,905 - mmseg - INFO - Iter [29300/160000] lr: 7.500e-05, eta: 8:12:46, time: 0.210, data_time: 0.008, memory: 52540, decode.loss_ce: 0.1959, decode.acc_seg: 91.9161, loss: 0.1959 +2023-03-04 03:00:17,560 - mmseg - INFO - Iter [29350/160000] lr: 7.500e-05, eta: 8:12:27, time: 0.193, data_time: 0.007, memory: 52540, decode.loss_ce: 0.2035, decode.acc_seg: 91.4535, loss: 0.2035 +2023-03-04 03:00:27,154 - mmseg - INFO - Iter [29400/160000] lr: 7.500e-05, eta: 8:12:08, time: 0.192, data_time: 0.007, memory: 52540, decode.loss_ce: 0.2009, decode.acc_seg: 91.8238, loss: 0.2009 +2023-03-04 03:00:36,922 - mmseg - INFO - Iter [29450/160000] lr: 7.500e-05, eta: 8:11:50, time: 0.195, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1994, decode.acc_seg: 91.9094, loss: 0.1994 +2023-03-04 03:00:46,405 - mmseg - INFO - Iter [29500/160000] lr: 7.500e-05, eta: 8:11:31, time: 0.190, data_time: 0.007, memory: 52540, decode.loss_ce: 0.2052, decode.acc_seg: 91.6776, loss: 0.2052 +2023-03-04 03:00:56,045 - mmseg - INFO - Iter [29550/160000] lr: 7.500e-05, eta: 8:11:12, time: 0.193, data_time: 0.007, memory: 52540, decode.loss_ce: 0.2133, decode.acc_seg: 91.2892, loss: 0.2133 +2023-03-04 03:01:05,758 - mmseg - INFO - Iter [29600/160000] lr: 7.500e-05, eta: 8:10:54, time: 0.194, data_time: 0.007, memory: 52540, decode.loss_ce: 0.2039, decode.acc_seg: 91.6869, loss: 0.2039 +2023-03-04 03:01:15,306 - mmseg - INFO - Iter [29650/160000] lr: 7.500e-05, eta: 8:10:35, time: 0.191, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1960, decode.acc_seg: 91.9462, loss: 0.1960 +2023-03-04 03:01:27,338 - mmseg - INFO - Iter [29700/160000] lr: 7.500e-05, eta: 8:10:27, time: 0.241, data_time: 0.057, memory: 52540, decode.loss_ce: 0.1976, decode.acc_seg: 91.7988, loss: 0.1976 +2023-03-04 03:01:36,967 - mmseg - INFO - Iter [29750/160000] lr: 7.500e-05, eta: 8:10:08, time: 0.193, data_time: 0.007, memory: 52540, decode.loss_ce: 0.2093, decode.acc_seg: 91.3778, loss: 0.2093 +2023-03-04 03:01:46,580 - mmseg - INFO - Iter [29800/160000] lr: 7.500e-05, eta: 8:09:50, time: 0.192, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1973, decode.acc_seg: 91.8891, loss: 0.1973 +2023-03-04 03:01:56,293 - mmseg - INFO - Iter [29850/160000] lr: 7.500e-05, eta: 8:09:31, time: 0.194, data_time: 0.007, memory: 52540, decode.loss_ce: 0.2001, decode.acc_seg: 91.7748, loss: 0.2001 +2023-03-04 03:02:06,012 - mmseg - INFO - Iter [29900/160000] lr: 7.500e-05, eta: 8:09:13, time: 0.194, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1966, decode.acc_seg: 91.9142, loss: 0.1966 +2023-03-04 03:02:15,708 - mmseg - INFO - Iter [29950/160000] lr: 7.500e-05, eta: 8:08:55, time: 0.194, data_time: 0.007, memory: 52540, decode.loss_ce: 0.2005, decode.acc_seg: 91.7892, loss: 0.2005 +2023-03-04 03:02:25,387 - mmseg - INFO - Exp name: ablation_segformer_mit_b2_segformer_head_unet_fc_small_multi_step_ade_pretrained_freeze_embed_160k_ade20k151_finetune_ema_cos.py +2023-03-04 03:02:25,387 - mmseg - INFO - Iter [30000/160000] lr: 7.500e-05, eta: 8:08:37, time: 0.194, data_time: 0.007, memory: 52540, decode.loss_ce: 0.2025, decode.acc_seg: 91.9643, loss: 0.2025 +2023-03-04 03:02:35,167 - mmseg - INFO - Iter [30050/160000] lr: 7.500e-05, eta: 8:08:19, time: 0.196, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1984, decode.acc_seg: 91.8703, loss: 0.1984 +2023-03-04 03:02:45,019 - mmseg - INFO - Iter [30100/160000] lr: 7.500e-05, eta: 8:08:02, time: 0.197, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1980, decode.acc_seg: 91.8302, loss: 0.1980 +2023-03-04 03:02:54,668 - mmseg - INFO - Iter [30150/160000] lr: 7.500e-05, eta: 8:07:43, time: 0.193, data_time: 0.007, memory: 52540, decode.loss_ce: 0.2165, decode.acc_seg: 91.3413, loss: 0.2165 +2023-03-04 03:03:04,253 - mmseg - INFO - Iter [30200/160000] lr: 7.500e-05, eta: 8:07:25, time: 0.192, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1997, decode.acc_seg: 91.8098, loss: 0.1997 +2023-03-04 03:03:14,152 - mmseg - INFO - Iter [30250/160000] lr: 7.500e-05, eta: 8:07:08, time: 0.198, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1992, decode.acc_seg: 91.7979, loss: 0.1992 +2023-03-04 03:03:26,360 - mmseg - INFO - Iter [30300/160000] lr: 7.500e-05, eta: 8:07:01, time: 0.244, data_time: 0.053, memory: 52540, decode.loss_ce: 0.2047, decode.acc_seg: 91.6955, loss: 0.2047 +2023-03-04 03:03:36,136 - mmseg - INFO - Iter [30350/160000] lr: 7.500e-05, eta: 8:06:43, time: 0.195, data_time: 0.007, memory: 52540, decode.loss_ce: 0.2028, decode.acc_seg: 91.7583, loss: 0.2028 +2023-03-04 03:03:45,824 - mmseg - INFO - Iter [30400/160000] lr: 7.500e-05, eta: 8:06:25, time: 0.194, data_time: 0.007, memory: 52540, decode.loss_ce: 0.2031, decode.acc_seg: 91.6053, loss: 0.2031 +2023-03-04 03:03:55,622 - mmseg - INFO - Iter [30450/160000] lr: 7.500e-05, eta: 8:06:08, time: 0.196, data_time: 0.007, memory: 52540, decode.loss_ce: 0.2021, decode.acc_seg: 91.7447, loss: 0.2021 +2023-03-04 03:04:05,512 - mmseg - INFO - Iter [30500/160000] lr: 7.500e-05, eta: 8:05:50, time: 0.198, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1959, decode.acc_seg: 91.9467, loss: 0.1959 +2023-03-04 03:04:15,144 - mmseg - INFO - Iter [30550/160000] lr: 7.500e-05, eta: 8:05:32, time: 0.193, data_time: 0.007, memory: 52540, decode.loss_ce: 0.2028, decode.acc_seg: 91.6559, loss: 0.2028 +2023-03-04 03:04:24,698 - mmseg - INFO - Iter [30600/160000] lr: 7.500e-05, eta: 8:05:14, time: 0.191, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1935, decode.acc_seg: 91.8937, loss: 0.1935 +2023-03-04 03:04:34,396 - mmseg - INFO - Iter [30650/160000] lr: 7.500e-05, eta: 8:04:56, time: 0.194, data_time: 0.007, memory: 52540, decode.loss_ce: 0.2022, decode.acc_seg: 91.9418, loss: 0.2022 +2023-03-04 03:04:44,158 - mmseg - INFO - Iter [30700/160000] lr: 7.500e-05, eta: 8:04:39, time: 0.195, data_time: 0.007, memory: 52540, decode.loss_ce: 0.2020, decode.acc_seg: 91.6514, loss: 0.2020 +2023-03-04 03:04:54,046 - mmseg - INFO - Iter [30750/160000] lr: 7.500e-05, eta: 8:04:22, time: 0.197, data_time: 0.007, memory: 52540, decode.loss_ce: 0.2090, decode.acc_seg: 91.4013, loss: 0.2090 +2023-03-04 03:05:04,037 - mmseg - INFO - Iter [30800/160000] lr: 7.500e-05, eta: 8:04:05, time: 0.200, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1963, decode.acc_seg: 91.8956, loss: 0.1963 +2023-03-04 03:05:13,929 - mmseg - INFO - Iter [30850/160000] lr: 7.500e-05, eta: 8:03:48, time: 0.198, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1947, decode.acc_seg: 92.0199, loss: 0.1947 +2023-03-04 03:05:23,601 - mmseg - INFO - Iter [30900/160000] lr: 7.500e-05, eta: 8:03:30, time: 0.193, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1973, decode.acc_seg: 91.8136, loss: 0.1973 +2023-03-04 03:05:35,629 - mmseg - INFO - Iter [30950/160000] lr: 7.500e-05, eta: 8:03:23, time: 0.241, data_time: 0.055, memory: 52540, decode.loss_ce: 0.2056, decode.acc_seg: 91.5052, loss: 0.2056 +2023-03-04 03:05:45,657 - mmseg - INFO - Exp name: ablation_segformer_mit_b2_segformer_head_unet_fc_small_multi_step_ade_pretrained_freeze_embed_160k_ade20k151_finetune_ema_cos.py +2023-03-04 03:05:45,657 - mmseg - INFO - Iter [31000/160000] lr: 7.500e-05, eta: 8:03:06, time: 0.201, data_time: 0.007, memory: 52540, decode.loss_ce: 0.2048, decode.acc_seg: 91.6840, loss: 0.2048 +2023-03-04 03:05:55,152 - mmseg - INFO - Iter [31050/160000] lr: 7.500e-05, eta: 8:02:48, time: 0.190, data_time: 0.007, memory: 52540, decode.loss_ce: 0.2080, decode.acc_seg: 91.4987, loss: 0.2080 +2023-03-04 03:06:04,857 - mmseg - INFO - Iter [31100/160000] lr: 7.500e-05, eta: 8:02:30, time: 0.194, data_time: 0.007, memory: 52540, decode.loss_ce: 0.2066, decode.acc_seg: 91.6571, loss: 0.2066 +2023-03-04 03:06:14,517 - mmseg - INFO - Iter [31150/160000] lr: 7.500e-05, eta: 8:02:13, time: 0.193, data_time: 0.007, memory: 52540, decode.loss_ce: 0.2042, decode.acc_seg: 91.6514, loss: 0.2042 +2023-03-04 03:06:24,166 - mmseg - INFO - Iter [31200/160000] lr: 7.500e-05, eta: 8:01:55, time: 0.193, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1937, decode.acc_seg: 92.0217, loss: 0.1937 +2023-03-04 03:06:33,689 - mmseg - INFO - Iter [31250/160000] lr: 7.500e-05, eta: 8:01:37, time: 0.191, data_time: 0.007, memory: 52540, decode.loss_ce: 0.2026, decode.acc_seg: 91.6397, loss: 0.2026 +2023-03-04 03:06:43,281 - mmseg - INFO - Iter [31300/160000] lr: 7.500e-05, eta: 8:01:19, time: 0.192, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1946, decode.acc_seg: 92.0942, loss: 0.1946 +2023-03-04 03:06:53,026 - mmseg - INFO - Iter [31350/160000] lr: 7.500e-05, eta: 8:01:01, time: 0.195, data_time: 0.007, memory: 52540, decode.loss_ce: 0.2019, decode.acc_seg: 91.8193, loss: 0.2019 +2023-03-04 03:07:02,560 - mmseg - INFO - Iter [31400/160000] lr: 7.500e-05, eta: 8:00:43, time: 0.191, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1935, decode.acc_seg: 91.9487, loss: 0.1935 +2023-03-04 03:07:12,219 - mmseg - INFO - Iter [31450/160000] lr: 7.500e-05, eta: 8:00:26, time: 0.193, data_time: 0.007, memory: 52540, decode.loss_ce: 0.2005, decode.acc_seg: 91.7455, loss: 0.2005 +2023-03-04 03:07:22,087 - mmseg - INFO - Iter [31500/160000] lr: 7.500e-05, eta: 8:00:09, time: 0.197, data_time: 0.007, memory: 52540, decode.loss_ce: 0.2007, decode.acc_seg: 91.6868, loss: 0.2007 +2023-03-04 03:07:31,943 - mmseg - INFO - Iter [31550/160000] lr: 7.500e-05, eta: 7:59:52, time: 0.197, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1976, decode.acc_seg: 91.8964, loss: 0.1976 +2023-03-04 03:07:44,126 - mmseg - INFO - Iter [31600/160000] lr: 7.500e-05, eta: 7:59:45, time: 0.244, data_time: 0.054, memory: 52540, decode.loss_ce: 0.1992, decode.acc_seg: 91.8609, loss: 0.1992 +2023-03-04 03:07:53,932 - mmseg - INFO - Iter [31650/160000] lr: 7.500e-05, eta: 7:59:28, time: 0.196, data_time: 0.007, memory: 52540, decode.loss_ce: 0.2071, decode.acc_seg: 91.5308, loss: 0.2071 +2023-03-04 03:08:03,465 - mmseg - INFO - Iter [31700/160000] lr: 7.500e-05, eta: 7:59:10, time: 0.191, data_time: 0.007, memory: 52540, decode.loss_ce: 0.2067, decode.acc_seg: 91.6324, loss: 0.2067 +2023-03-04 03:08:13,243 - mmseg - INFO - Iter [31750/160000] lr: 7.500e-05, eta: 7:58:53, time: 0.196, data_time: 0.007, memory: 52540, decode.loss_ce: 0.2019, decode.acc_seg: 91.7784, loss: 0.2019 +2023-03-04 03:08:22,910 - mmseg - INFO - Iter [31800/160000] lr: 7.500e-05, eta: 7:58:36, time: 0.193, data_time: 0.007, memory: 52540, decode.loss_ce: 0.2027, decode.acc_seg: 91.7599, loss: 0.2027 +2023-03-04 03:08:32,688 - mmseg - INFO - Iter [31850/160000] lr: 7.500e-05, eta: 7:58:19, time: 0.196, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1964, decode.acc_seg: 91.9167, loss: 0.1964 +2023-03-04 03:08:42,254 - mmseg - INFO - Iter [31900/160000] lr: 7.500e-05, eta: 7:58:01, time: 0.191, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1927, decode.acc_seg: 92.0685, loss: 0.1927 +2023-03-04 03:08:51,839 - mmseg - INFO - Iter [31950/160000] lr: 7.500e-05, eta: 7:57:43, time: 0.192, data_time: 0.007, memory: 52540, decode.loss_ce: 0.2030, decode.acc_seg: 91.6869, loss: 0.2030 +2023-03-04 03:09:01,714 - mmseg - INFO - Swap parameters (after train) after iter [32000] +2023-03-04 03:09:01,727 - mmseg - INFO - Saving checkpoint at 32000 iterations +2023-03-04 03:09:02,777 - mmseg - INFO - Exp name: ablation_segformer_mit_b2_segformer_head_unet_fc_small_multi_step_ade_pretrained_freeze_embed_160k_ade20k151_finetune_ema_cos.py +2023-03-04 03:09:02,777 - mmseg - INFO - Iter [32000/160000] lr: 7.500e-05, eta: 7:57:31, time: 0.219, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1982, decode.acc_seg: 91.5735, loss: 0.1982 +2023-03-04 03:19:43,386 - mmseg - INFO - per class results: +2023-03-04 03:19:43,394 - mmseg - INFO - ++---------------------+-------------------------------------------------------------------+ +| Class | IoU 0,10,20,30,40,50,60,70,80,90,99 | ++---------------------+-------------------------------------------------------------------+ +| background | nan,nan,nan,nan,nan,nan,nan,nan,nan,nan,nan | +| wall | 77.25,77.26,77.25,77.25,77.25,77.26,77.27,77.28,77.3,77.32,77.32 | +| building | 81.55,81.55,81.56,81.55,81.55,81.56,81.56,81.56,81.57,81.58,81.57 | +| sky | 94.44,94.44,94.44,94.44,94.44,94.44,94.44,94.45,94.45,94.46,94.46 | +| floor | 81.61,81.6,81.6,81.6,81.59,81.62,81.62,81.63,81.64,81.63,81.64 | +| tree | 74.06,74.06,74.04,74.06,74.05,74.05,74.06,74.07,74.07,74.08,74.1 | +| ceiling | 85.28,85.28,85.28,85.28,85.29,85.3,85.31,85.32,85.33,85.33,85.34 | +| road | 82.14,82.13,82.12,82.12,82.13,82.13,82.12,82.09,82.08,82.02,81.92 | +| bed | 87.5,87.51,87.49,87.5,87.5,87.51,87.49,87.51,87.51,87.49,87.52 | +| windowpane | 60.47,60.47,60.47,60.47,60.46,60.46,60.44,60.44,60.44,60.43,60.42 | +| grass | 66.96,66.94,66.95,66.96,66.96,66.93,66.95,66.96,66.97,66.97,66.98 | +| cabinet | 60.72,60.68,60.7,60.71,60.72,60.74,60.79,60.91,60.99,61.12,61.24 | +| sidewalk | 63.85,63.83,63.83,63.84,63.83,63.87,63.86,63.84,63.84,63.77,63.67 | +| person | 79.46,79.45,79.46,79.45,79.46,79.46,79.47,79.48,79.49,79.5,79.51 | +| earth | 35.7,35.71,35.68,35.7,35.68,35.71,35.69,35.7,35.69,35.67,35.59 | +| door | 45.15,45.14,45.17,45.17,45.18,45.16,45.19,45.2,45.2,45.21,45.13 | +| table | 60.14,60.11,60.13,60.1,60.14,60.14,60.14,60.23,60.21,60.22,60.25 | +| mountain | 57.1,57.12,57.12,57.13,57.1,57.09,57.13,57.17,57.13,57.24,57.21 | +| plant | 50.28,50.3,50.25,50.3,50.26,50.27,50.25,50.19,50.17,50.06,50.09 | +| curtain | 74.82,74.82,74.82,74.81,74.83,74.86,74.86,74.96,75.01,75.07,75.05 | +| chair | 55.91,55.9,55.89,55.89,55.93,55.93,55.96,55.98,56.0,56.05,56.08 | +| car | 81.69,81.68,81.69,81.69,81.7,81.71,81.72,81.73,81.78,81.82,81.84 | +| water | 57.81,57.82,57.82,57.82,57.83,57.84,57.86,57.89,57.9,57.96,58.01 | +| painting | 70.07,70.13,70.08,70.09,70.09,70.08,70.06,70.02,69.94,69.93,69.85 | +| sofa | 63.6,63.56,63.56,63.57,63.58,63.63,63.61,63.65,63.69,63.72,63.73 | +| shelf | 43.98,43.95,43.93,43.94,44.0,43.94,43.97,43.98,44.0,44.01,43.97 | +| house | 42.14,42.18,42.16,42.19,42.13,42.21,42.23,42.18,42.27,42.29,42.3 | +| sea | 60.63,60.62,60.62,60.62,60.64,60.67,60.68,60.76,60.78,60.88,60.94 | +| mirror | 64.95,64.94,64.92,64.92,64.96,64.88,64.92,64.95,64.98,65.06,65.09 | +| rug | 65.25,65.16,65.16,65.1,65.11,65.23,65.2,65.29,65.4,65.29,65.22 | +| field | 30.66,30.66,30.66,30.67,30.67,30.69,30.68,30.67,30.68,30.69,30.72 | +| armchair | 37.15,37.15,37.13,37.14,37.16,37.22,37.23,37.31,37.42,37.54,37.66 | +| seat | 66.1,66.14,66.11,66.1,66.16,66.12,66.21,66.2,66.24,66.35,66.37 | +| fence | 41.03,41.03,41.02,41.05,41.03,41.06,41.08,41.07,41.14,41.17,41.1 | +| desk | 46.88,46.82,46.82,46.84,46.85,46.91,46.97,47.0,47.19,47.36,47.45 | +| rock | 36.68,36.68,36.68,36.66,36.66,36.66,36.64,36.64,36.61,36.58,36.45 | +| wardrobe | 57.26,57.25,57.24,57.26,57.28,57.27,57.34,57.45,57.52,57.65,57.7 | +| lamp | 61.53,61.54,61.49,61.52,61.49,61.48,61.46,61.45,61.46,61.43,61.33 | +| bathtub | 76.31,76.35,76.25,76.31,76.37,76.37,76.43,76.51,76.6,76.87,76.94 | +| railing | 33.64,33.63,33.66,33.61,33.61,33.61,33.64,33.61,33.64,33.64,33.68 | +| cushion | 56.01,55.92,55.84,56.01,55.89,55.96,55.98,56.01,56.0,56.01,56.1 | +| base | 21.31,21.33,21.31,21.33,21.36,21.4,21.42,21.5,21.55,21.55,21.7 | +| box | 23.34,23.28,23.35,23.33,23.37,23.34,23.37,23.42,23.47,23.5,23.49 | +| column | 45.36,45.38,45.34,45.32,45.36,45.31,45.37,45.34,45.35,45.4,45.33 | +| signboard | 37.67,37.67,37.64,37.66,37.63,37.65,37.61,37.61,37.62,37.54,37.5 | +| chest of drawers | 35.33,35.33,35.35,35.4,35.35,35.4,35.49,35.59,35.7,35.67,35.73 | +| counter | 30.64,30.68,30.69,30.6,30.74,30.72,30.75,30.8,30.92,31.04,31.17 | +| sand | 42.15,42.12,42.18,42.17,42.13,42.17,42.18,42.24,42.33,42.33,42.4 | +| sink | 67.44,67.44,67.45,67.43,67.5,67.41,67.47,67.45,67.46,67.54,67.55 | +| skyscraper | 51.17,51.4,51.35,51.28,51.2,51.23,51.23,51.06,51.09,50.8,50.44 | +| fireplace | 76.21,76.28,76.28,76.27,76.27,76.31,76.32,76.36,76.44,76.49,76.39 | +| refrigerator | 74.1,74.01,74.04,74.06,74.14,74.16,74.26,74.32,74.62,74.65,74.4 | +| grandstand | 51.31,51.22,51.18,51.2,51.3,51.18,51.35,51.29,51.45,51.59,51.6 | +| path | 22.53,22.51,22.54,22.56,22.54,22.61,22.61,22.6,22.67,22.71,22.74 | +| stairs | 31.28,31.28,31.24,31.26,31.32,31.25,31.31,31.28,31.29,31.35,31.37 | +| runway | 67.22,67.23,67.28,67.23,67.24,67.24,67.28,67.35,67.35,67.39,67.45 | +| case | 46.55,46.61,46.57,46.51,46.51,46.44,46.47,46.36,46.31,46.25,46.12 | +| pool table | 91.9,91.9,91.88,91.88,91.9,91.91,91.93,91.9,91.91,91.93,91.94 | +| pillow | 60.24,60.12,59.9,60.21,60.01,60.23,60.29,60.55,60.65,60.9,61.26 | +| screen door | 66.66,66.52,66.73,66.62,66.59,66.55,66.6,66.65,66.76,66.82,66.72 | +| stairway | 24.24,24.24,24.26,24.25,24.26,24.34,24.32,24.4,24.44,24.54,24.62 | +| river | 11.76,11.75,11.76,11.75,11.75,11.76,11.77,11.75,11.76,11.75,11.75 | +| bridge | 31.72,31.75,31.71,31.73,31.74,31.75,31.79,31.86,31.95,32.08,32.26 | +| bookcase | 45.11,45.15,45.12,45.15,45.1,45.08,45.19,45.21,45.13,45.11,45.07 | +| blind | 38.76,38.83,38.75,38.71,38.67,38.74,38.73,38.68,38.79,38.92,39.16 | +| coffee table | 52.57,52.54,52.54,52.53,52.52,52.46,52.38,52.39,52.32,52.28,52.25 | +| toilet | 83.54,83.53,83.55,83.51,83.55,83.52,83.52,83.47,83.47,83.47,83.49 | +| flower | 38.51,38.49,38.5,38.53,38.54,38.49,38.5,38.5,38.48,38.48,38.39 | +| book | 44.95,44.96,44.98,44.97,44.94,44.93,44.95,44.99,45.01,45.03,45.1 | +| hill | 15.09,15.08,15.08,15.07,15.09,15.12,15.11,15.23,15.23,15.23,15.3 | +| bench | 43.27,43.26,43.23,43.24,43.23,43.19,43.15,43.01,42.8,42.6,42.31 | +| countertop | 55.1,55.06,55.05,55.03,55.06,55.0,55.02,55.14,55.17,55.1,55.2 | +| stove | 70.57,70.64,70.58,70.52,70.57,70.55,70.58,70.58,70.58,70.46,70.4 | +| palm | 48.57,48.62,48.59,48.6,48.61,48.59,48.5,48.53,48.54,48.49,48.45 | +| kitchen island | 43.2,43.2,43.21,43.23,43.21,43.29,43.3,43.45,43.27,43.11,42.96 | +| computer | 60.51,60.51,60.53,60.54,60.55,60.57,60.57,60.65,60.66,60.7,60.71 | +| swivel chair | 42.88,42.83,42.82,42.9,42.86,42.83,42.94,42.92,42.92,43.01,43.07 | +| boat | 72.53,72.44,72.46,72.55,72.45,72.51,72.45,72.42,72.39,72.23,72.12 | +| bar | 23.61,23.58,23.57,23.59,23.58,23.6,23.54,23.5,23.51,23.47,23.44 | +| arcade machine | 69.64,69.7,69.89,69.74,69.45,69.81,69.82,69.95,70.21,70.72,71.35 | +| hovel | 30.55,30.65,30.66,30.62,30.65,30.72,30.68,30.86,30.63,30.67,30.48 | +| bus | 79.14,79.09,79.07,79.12,79.11,79.1,79.04,79.06,79.0,79.0,78.87 | +| towel | 63.02,63.03,63.02,63.03,62.99,62.91,62.89,62.83,62.77,62.64,62.54 | +| light | 54.63,54.65,54.62,54.65,54.62,54.68,54.6,54.7,54.67,54.66,54.67 | +| truck | 18.65,18.64,18.63,18.6,18.56,18.59,18.65,18.66,18.67,18.43,18.5 | +| tower | 7.13,7.16,7.15,7.18,7.14,7.18,7.15,7.21,7.27,7.33,7.37 | +| chandelier | 64.24,64.28,64.2,64.22,64.23,64.24,64.22,64.15,64.25,64.19,64.14 | +| awning | 23.81,23.8,23.81,23.77,23.85,23.83,23.85,23.91,23.89,23.93,24.03 | +| streetlight | 26.5,26.52,26.44,26.51,26.5,26.47,26.57,26.58,26.62,26.71,26.81 | +| booth | 45.99,45.93,45.84,45.88,45.99,45.94,46.0,46.13,46.27,46.17,46.18 | +| television receiver | 63.2,63.16,63.14,63.22,63.19,63.26,63.21,63.25,63.2,63.21,63.27 | +| airplane | 59.64,59.68,59.72,59.72,59.64,59.69,59.61,59.58,59.49,59.4,59.41 | +| dirt track | 17.84,17.87,17.9,17.9,17.93,18.0,18.14,18.07,18.26,18.47,18.61 | +| apparel | 35.17,35.17,35.14,35.14,35.22,35.13,35.21,35.3,35.34,35.3,35.42 | +| pole | 18.23,18.13,18.08,18.16,18.12,18.09,17.99,17.94,17.77,17.75,17.69 | +| land | 3.81,3.85,3.84,3.84,3.84,3.83,3.85,3.79,3.82,3.92,3.85 | +| bannister | 12.29,12.2,12.21,12.13,12.23,12.25,12.3,12.48,12.51,12.75,12.94 | +| escalator | 23.95,23.94,23.97,23.99,24.0,24.07,24.14,24.29,24.38,24.57,24.7 | +| ottoman | 43.54,43.62,43.56,43.6,43.58,43.45,43.43,43.33,43.22,42.94,43.15 | +| bottle | 35.3,35.26,35.27,35.33,35.32,35.23,35.23,35.29,35.22,35.15,35.13 | +| buffet | 39.98,40.14,40.16,39.96,40.0,40.25,40.96,41.54,42.34,43.14,43.86 | +| poster | 23.72,23.73,23.7,23.69,23.68,23.7,23.69,23.59,23.54,23.56,23.35 | +| stage | 14.21,14.24,14.27,14.31,14.21,14.39,14.34,14.45,14.64,14.59,14.77 | +| van | 39.32,39.27,39.35,39.22,39.31,39.23,39.27,39.22,39.12,39.12,38.98 | +| ship | 81.26,81.21,81.21,81.19,81.32,81.32,81.57,81.74,82.08,82.15,82.1 | +| fountain | 19.63,19.62,19.73,19.74,19.55,19.72,19.6,19.82,19.88,19.83,19.96 | +| conveyer belt | 83.93,83.8,83.83,83.84,83.83,83.86,83.85,83.58,83.67,83.49,83.31 | +| canopy | 22.45,22.41,22.43,22.47,22.51,22.64,22.84,22.83,23.12,23.33,23.53 | +| washer | 75.38,75.31,75.47,75.33,75.35,75.45,75.46,75.56,75.68,75.81,76.04 | +| plaything | 19.44,19.44,19.39,19.49,19.46,19.46,19.37,19.38,19.37,19.24,19.2 | +| swimming pool | 72.17,72.28,72.09,72.21,72.27,72.28,72.46,72.62,72.87,73.12,73.5 | +| stool | 44.01,44.01,44.09,44.02,44.02,44.06,43.93,43.98,43.95,43.72,43.42 | +| barrel | 42.9,43.88,43.25,43.72,43.27,42.98,43.05,41.98,41.43,41.26,39.92 | +| basket | 23.23,23.25,23.26,23.21,23.24,23.25,23.24,23.25,23.3,23.31,23.24 | +| waterfall | 50.84,50.74,50.71,50.75,50.81,50.69,50.73,50.64,50.64,50.52,50.4 | +| tent | 94.77,94.82,94.81,94.84,94.87,94.88,94.9,94.84,94.88,94.89,94.85 | +| bag | 15.58,15.66,15.67,15.54,15.65,15.62,15.58,15.66,15.65,15.82,15.67 | +| minibike | 63.0,63.04,62.92,63.03,63.1,63.14,63.14,63.1,63.14,63.15,63.37 | +| cradle | 83.68,83.63,83.65,83.6,83.65,83.74,83.69,83.76,83.8,83.87,84.01 | +| oven | 50.16,50.25,50.2,50.17,50.1,50.17,50.19,50.08,50.18,50.34,50.28 | +| ball | 46.33,46.46,46.39,46.39,46.44,46.39,46.46,46.45,46.43,46.45,46.48 | +| food | 54.06,54.05,54.08,54.07,54.07,53.99,54.05,54.01,53.93,53.92,53.76 | +| step | 8.49,8.66,8.51,8.57,8.55,8.66,8.53,8.59,8.68,8.86,8.92 | +| tank | 51.99,51.94,51.89,51.89,51.91,51.8,51.9,51.75,51.73,51.74,51.71 | +| trade name | 27.68,27.78,27.79,27.8,27.74,27.76,27.74,27.68,27.83,27.82,27.83 | +| microwave | 75.05,75.16,75.04,75.13,75.08,75.17,75.18,75.16,75.25,75.46,75.49 | +| pot | 29.42,29.47,29.4,29.43,29.44,29.44,29.49,29.43,29.49,29.59,29.58 | +| animal | 55.02,55.02,55.0,55.02,55.0,55.04,55.04,55.02,55.04,55.03,55.01 | +| bicycle | 53.61,53.54,53.53,53.56,53.62,53.67,53.68,53.8,53.75,53.85,53.98 | +| lake | 56.86,56.88,56.86,56.87,56.88,56.88,56.87,56.85,56.87,56.9,56.93 | +| dishwasher | 63.14,63.02,63.11,63.13,63.08,63.06,63.04,62.88,62.82,62.67,62.61 | +| screen | 67.56,67.58,67.52,67.49,67.56,67.46,67.3,67.06,66.82,66.64,66.31 | +| blanket | 17.32,17.27,17.31,17.28,17.19,17.27,17.19,17.13,16.99,16.8,16.91 | +| sculpture | 56.44,56.5,56.52,56.42,56.53,56.52,56.51,56.27,56.28,56.03,55.3 | +| hood | 57.01,57.16,57.02,57.19,56.95,57.14,56.89,56.79,56.71,56.4,56.04 | +| sconce | 42.33,42.32,42.25,42.34,42.39,42.37,42.38,42.41,42.51,42.55,42.7 | +| vase | 37.05,37.03,37.07,37.07,36.99,37.01,37.01,37.09,37.13,37.2,37.31 | +| traffic light | 33.5,33.51,33.48,33.48,33.51,33.54,33.53,33.58,33.68,33.75,33.87 | +| tray | 6.84,6.79,6.83,6.8,6.76,6.76,6.83,6.88,6.99,7.03,7.18 | +| ashcan | 41.18,41.0,41.05,41.11,41.04,40.97,41.01,40.89,40.96,40.7,40.7 | +| fan | 57.67,57.71,57.75,57.72,57.6,57.66,57.7,57.55,57.65,57.68,57.56 | +| pier | 52.05,51.71,51.98,52.2,51.91,52.0,51.85,52.13,52.08,52.26,51.85 | +| crt screen | 10.02,10.03,10.07,10.01,10.03,10.04,10.03,10.04,10.08,10.12,10.18 | +| plate | 51.67,51.66,51.65,51.58,51.67,51.6,51.67,51.72,51.75,51.93,51.94 | +| monitor | 15.89,15.96,15.97,15.97,15.89,16.03,15.95,15.86,15.91,15.75,15.75 | +| bulletin board | 36.59,36.61,36.74,36.57,36.79,36.61,36.72,36.77,37.01,37.05,37.15 | +| shower | 1.27,1.26,1.3,1.27,1.27,1.26,1.27,1.23,1.2,1.14,1.11 | +| radiator | 60.51,60.49,60.52,60.53,60.51,60.57,60.7,60.83,61.1,60.95,61.26 | +| glass | 13.31,13.34,13.3,13.32,13.33,13.28,13.29,13.38,13.36,13.35,13.35 | +| clock | 34.41,34.37,34.12,34.36,34.44,34.4,34.39,34.53,34.29,34.33,34.49 | +| flag | 35.93,35.84,35.79,35.85,35.72,35.71,35.57,35.68,35.51,35.53,35.51 | ++---------------------+-------------------------------------------------------------------+ +2023-03-04 03:19:43,395 - mmseg - INFO - Summary: +2023-03-04 03:19:43,395 - mmseg - INFO - ++-----------------------------------------------------------------+ +| mIoU 0,10,20,30,40,50,60,70,80,90,99 | ++-----------------------------------------------------------------+ +| 48.42,48.42,48.41,48.42,48.42,48.43,48.44,48.45,48.48,48.5,48.5 | ++-----------------------------------------------------------------+ +2023-03-04 03:19:43,425 - mmseg - INFO - The previous best checkpoint /mnt/petrelfs/laizeqiang/mmseg-baseline/work_dirs2/ablation_segformer_mit_b2_segformer_head_unet_fc_small_multi_step_ade_pretrained_freeze_embed_160k_ade20k151_finetune_ema_cos/best_mIoU_iter_16000.pth was removed +2023-03-04 03:19:44,356 - mmseg - INFO - Now best checkpoint is saved as best_mIoU_iter_32000.pth. +2023-03-04 03:19:44,356 - mmseg - INFO - Best mIoU is 0.4850 at 32000 iter. +2023-03-04 03:19:44,356 - mmseg - INFO - Exp name: ablation_segformer_mit_b2_segformer_head_unet_fc_small_multi_step_ade_pretrained_freeze_embed_160k_ade20k151_finetune_ema_cos.py +2023-03-04 03:19:44,356 - mmseg - INFO - Iter(val) [250] mIoU: [0.4842, 0.4842, 0.4841, 0.4842, 0.4842, 0.4843, 0.4844, 0.4845, 0.4848, 0.485, 0.485], copy_paste: 48.42,48.42,48.41,48.42,48.42,48.43,48.44,48.45,48.48,48.5,48.5 +2023-03-04 03:19:44,362 - mmseg - INFO - Swap parameters (before train) before iter [32001] +2023-03-04 03:19:54,175 - mmseg - INFO - Iter [32050/160000] lr: 7.500e-05, eta: 8:39:56, time: 13.028, data_time: 12.840, memory: 52540, decode.loss_ce: 0.2054, decode.acc_seg: 91.5883, loss: 0.2054 +2023-03-04 03:20:04,019 - mmseg - INFO - Iter [32100/160000] lr: 7.500e-05, eta: 8:39:34, time: 0.197, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1979, decode.acc_seg: 91.8630, loss: 0.1979 +2023-03-04 03:20:13,844 - mmseg - INFO - Iter [32150/160000] lr: 7.500e-05, eta: 8:39:13, time: 0.196, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1963, decode.acc_seg: 91.9378, loss: 0.1963 +2023-03-04 03:20:26,235 - mmseg - INFO - Iter [32200/160000] lr: 7.500e-05, eta: 8:39:01, time: 0.248, data_time: 0.057, memory: 52540, decode.loss_ce: 0.2113, decode.acc_seg: 91.4110, loss: 0.2113 +2023-03-04 03:20:36,054 - mmseg - INFO - Iter [32250/160000] lr: 7.500e-05, eta: 8:38:40, time: 0.196, data_time: 0.007, memory: 52540, decode.loss_ce: 0.2053, decode.acc_seg: 91.5651, loss: 0.2053 +2023-03-04 03:20:45,741 - mmseg - INFO - Iter [32300/160000] lr: 7.500e-05, eta: 8:38:18, time: 0.194, data_time: 0.007, memory: 52540, decode.loss_ce: 0.2006, decode.acc_seg: 91.7902, loss: 0.2006 +2023-03-04 03:20:55,304 - mmseg - INFO - Iter [32350/160000] lr: 7.500e-05, eta: 8:37:55, time: 0.191, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1932, decode.acc_seg: 92.0798, loss: 0.1932 +2023-03-04 03:21:05,019 - mmseg - INFO - Iter [32400/160000] lr: 7.500e-05, eta: 8:37:33, time: 0.194, data_time: 0.007, memory: 52540, decode.loss_ce: 0.2056, decode.acc_seg: 91.5635, loss: 0.2056 +2023-03-04 03:21:14,755 - mmseg - INFO - Iter [32450/160000] lr: 7.500e-05, eta: 8:37:12, time: 0.195, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1948, decode.acc_seg: 91.9901, loss: 0.1948 +2023-03-04 03:21:24,594 - mmseg - INFO - Iter [32500/160000] lr: 7.500e-05, eta: 8:36:50, time: 0.197, data_time: 0.007, memory: 52540, decode.loss_ce: 0.2063, decode.acc_seg: 91.7204, loss: 0.2063 +2023-03-04 03:21:34,314 - mmseg - INFO - Iter [32550/160000] lr: 7.500e-05, eta: 8:36:29, time: 0.194, data_time: 0.007, memory: 52540, decode.loss_ce: 0.2047, decode.acc_seg: 91.6439, loss: 0.2047 +2023-03-04 03:21:44,121 - mmseg - INFO - Iter [32600/160000] lr: 7.500e-05, eta: 8:36:07, time: 0.196, data_time: 0.007, memory: 52540, decode.loss_ce: 0.2083, decode.acc_seg: 91.6608, loss: 0.2083 +2023-03-04 03:21:53,600 - mmseg - INFO - Iter [32650/160000] lr: 7.500e-05, eta: 8:35:45, time: 0.190, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1953, decode.acc_seg: 91.8531, loss: 0.1953 +2023-03-04 03:22:03,500 - mmseg - INFO - Iter [32700/160000] lr: 7.500e-05, eta: 8:35:24, time: 0.198, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1958, decode.acc_seg: 92.0149, loss: 0.1958 +2023-03-04 03:22:13,362 - mmseg - INFO - Iter [32750/160000] lr: 7.500e-05, eta: 8:35:03, time: 0.197, data_time: 0.007, memory: 52540, decode.loss_ce: 0.2100, decode.acc_seg: 91.4590, loss: 0.2100 +2023-03-04 03:22:23,326 - mmseg - INFO - Iter [32800/160000] lr: 7.500e-05, eta: 8:34:42, time: 0.199, data_time: 0.007, memory: 52540, decode.loss_ce: 0.2009, decode.acc_seg: 91.8360, loss: 0.2009 +2023-03-04 03:22:35,721 - mmseg - INFO - Iter [32850/160000] lr: 7.500e-05, eta: 8:34:31, time: 0.248, data_time: 0.054, memory: 52540, decode.loss_ce: 0.2036, decode.acc_seg: 91.7377, loss: 0.2036 +2023-03-04 03:22:45,417 - mmseg - INFO - Iter [32900/160000] lr: 7.500e-05, eta: 8:34:10, time: 0.194, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1993, decode.acc_seg: 91.7624, loss: 0.1993 +2023-03-04 03:22:55,087 - mmseg - INFO - Iter [32950/160000] lr: 7.500e-05, eta: 8:33:48, time: 0.193, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1909, decode.acc_seg: 92.1472, loss: 0.1909 +2023-03-04 03:23:04,947 - mmseg - INFO - Exp name: ablation_segformer_mit_b2_segformer_head_unet_fc_small_multi_step_ade_pretrained_freeze_embed_160k_ade20k151_finetune_ema_cos.py +2023-03-04 03:23:04,948 - mmseg - INFO - Iter [33000/160000] lr: 7.500e-05, eta: 8:33:27, time: 0.197, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1937, decode.acc_seg: 92.1340, loss: 0.1937 +2023-03-04 03:23:14,672 - mmseg - INFO - Iter [33050/160000] lr: 7.500e-05, eta: 8:33:06, time: 0.194, data_time: 0.007, memory: 52540, decode.loss_ce: 0.2004, decode.acc_seg: 91.8262, loss: 0.2004 +2023-03-04 03:23:24,322 - mmseg - INFO - Iter [33100/160000] lr: 7.500e-05, eta: 8:32:44, time: 0.193, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1990, decode.acc_seg: 91.5892, loss: 0.1990 +2023-03-04 03:23:33,964 - mmseg - INFO - Iter [33150/160000] lr: 7.500e-05, eta: 8:32:22, time: 0.193, data_time: 0.007, memory: 52540, decode.loss_ce: 0.2007, decode.acc_seg: 91.7509, loss: 0.2007 +2023-03-04 03:23:44,009 - mmseg - INFO - Iter [33200/160000] lr: 7.500e-05, eta: 8:32:02, time: 0.201, data_time: 0.007, memory: 52540, decode.loss_ce: 0.2021, decode.acc_seg: 91.6531, loss: 0.2021 +2023-03-04 03:23:53,512 - mmseg - INFO - Iter [33250/160000] lr: 7.500e-05, eta: 8:31:40, time: 0.190, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1936, decode.acc_seg: 91.9805, loss: 0.1936 +2023-03-04 03:24:03,033 - mmseg - INFO - Iter [33300/160000] lr: 7.500e-05, eta: 8:31:18, time: 0.190, data_time: 0.007, memory: 52540, decode.loss_ce: 0.2022, decode.acc_seg: 91.6343, loss: 0.2022 +2023-03-04 03:24:12,556 - mmseg - INFO - Iter [33350/160000] lr: 7.500e-05, eta: 8:30:56, time: 0.190, data_time: 0.007, memory: 52540, decode.loss_ce: 0.2011, decode.acc_seg: 91.8188, loss: 0.2011 +2023-03-04 03:24:22,057 - mmseg - INFO - Iter [33400/160000] lr: 7.500e-05, eta: 8:30:34, time: 0.190, data_time: 0.007, memory: 52540, decode.loss_ce: 0.2030, decode.acc_seg: 91.7290, loss: 0.2030 +2023-03-04 03:24:34,041 - mmseg - INFO - Iter [33450/160000] lr: 7.500e-05, eta: 8:30:22, time: 0.240, data_time: 0.056, memory: 52540, decode.loss_ce: 0.1981, decode.acc_seg: 91.7652, loss: 0.1981 +2023-03-04 03:24:43,821 - mmseg - INFO - Iter [33500/160000] lr: 7.500e-05, eta: 8:30:01, time: 0.196, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1961, decode.acc_seg: 91.9462, loss: 0.1961 +2023-03-04 03:24:53,418 - mmseg - INFO - Iter [33550/160000] lr: 7.500e-05, eta: 8:29:40, time: 0.192, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1989, decode.acc_seg: 91.9645, loss: 0.1989 +2023-03-04 03:25:03,081 - mmseg - INFO - Iter [33600/160000] lr: 7.500e-05, eta: 8:29:18, time: 0.193, data_time: 0.007, memory: 52540, decode.loss_ce: 0.2036, decode.acc_seg: 91.8226, loss: 0.2036 +2023-03-04 03:25:12,983 - mmseg - INFO - Iter [33650/160000] lr: 7.500e-05, eta: 8:28:58, time: 0.198, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1965, decode.acc_seg: 91.8688, loss: 0.1965 +2023-03-04 03:25:22,750 - mmseg - INFO - Iter [33700/160000] lr: 7.500e-05, eta: 8:28:37, time: 0.195, data_time: 0.007, memory: 52540, decode.loss_ce: 0.2058, decode.acc_seg: 91.5900, loss: 0.2058 +2023-03-04 03:25:32,521 - mmseg - INFO - Iter [33750/160000] lr: 7.500e-05, eta: 8:28:16, time: 0.195, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1986, decode.acc_seg: 91.9367, loss: 0.1986 +2023-03-04 03:25:42,622 - mmseg - INFO - Iter [33800/160000] lr: 7.500e-05, eta: 8:27:57, time: 0.202, data_time: 0.007, memory: 52540, decode.loss_ce: 0.2019, decode.acc_seg: 91.8652, loss: 0.2019 +2023-03-04 03:25:52,412 - mmseg - INFO - Iter [33850/160000] lr: 7.500e-05, eta: 8:27:36, time: 0.196, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1950, decode.acc_seg: 92.0021, loss: 0.1950 +2023-03-04 03:26:02,136 - mmseg - INFO - Iter [33900/160000] lr: 7.500e-05, eta: 8:27:16, time: 0.194, data_time: 0.007, memory: 52540, decode.loss_ce: 0.2063, decode.acc_seg: 91.6646, loss: 0.2063 +2023-03-04 03:26:11,611 - mmseg - INFO - Iter [33950/160000] lr: 7.500e-05, eta: 8:26:54, time: 0.189, data_time: 0.007, memory: 52540, decode.loss_ce: 0.2004, decode.acc_seg: 91.8353, loss: 0.2004 +2023-03-04 03:26:21,128 - mmseg - INFO - Exp name: ablation_segformer_mit_b2_segformer_head_unet_fc_small_multi_step_ade_pretrained_freeze_embed_160k_ade20k151_finetune_ema_cos.py +2023-03-04 03:26:21,129 - mmseg - INFO - Iter [34000/160000] lr: 7.500e-05, eta: 8:26:32, time: 0.190, data_time: 0.007, memory: 52540, decode.loss_ce: 0.2058, decode.acc_seg: 91.5815, loss: 0.2058 +2023-03-04 03:26:30,899 - mmseg - INFO - Iter [34050/160000] lr: 7.500e-05, eta: 8:26:12, time: 0.195, data_time: 0.007, memory: 52540, decode.loss_ce: 0.2017, decode.acc_seg: 91.7780, loss: 0.2017 +2023-03-04 03:26:43,393 - mmseg - INFO - Iter [34100/160000] lr: 7.500e-05, eta: 8:26:01, time: 0.250, data_time: 0.056, memory: 52540, decode.loss_ce: 0.1863, decode.acc_seg: 92.2233, loss: 0.1863 +2023-03-04 03:26:53,561 - mmseg - INFO - Iter [34150/160000] lr: 7.500e-05, eta: 8:25:42, time: 0.203, data_time: 0.006, memory: 52540, decode.loss_ce: 0.2084, decode.acc_seg: 91.5732, loss: 0.2084 +2023-03-04 03:27:03,597 - mmseg - INFO - Iter [34200/160000] lr: 7.500e-05, eta: 8:25:23, time: 0.201, data_time: 0.007, memory: 52540, decode.loss_ce: 0.2084, decode.acc_seg: 91.4224, loss: 0.2084 +2023-03-04 03:27:13,635 - mmseg - INFO - Iter [34250/160000] lr: 7.500e-05, eta: 8:25:03, time: 0.201, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1972, decode.acc_seg: 91.9438, loss: 0.1972 +2023-03-04 03:27:23,350 - mmseg - INFO - Iter [34300/160000] lr: 7.500e-05, eta: 8:24:43, time: 0.194, data_time: 0.006, memory: 52540, decode.loss_ce: 0.2018, decode.acc_seg: 91.9203, loss: 0.2018 +2023-03-04 03:27:32,940 - mmseg - INFO - Iter [34350/160000] lr: 7.500e-05, eta: 8:24:22, time: 0.192, data_time: 0.007, memory: 52540, decode.loss_ce: 0.2037, decode.acc_seg: 91.7625, loss: 0.2037 +2023-03-04 03:27:42,406 - mmseg - INFO - Iter [34400/160000] lr: 7.500e-05, eta: 8:24:00, time: 0.189, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1971, decode.acc_seg: 91.9014, loss: 0.1971 +2023-03-04 03:27:51,945 - mmseg - INFO - Iter [34450/160000] lr: 7.500e-05, eta: 8:23:39, time: 0.191, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1964, decode.acc_seg: 91.9386, loss: 0.1964 +2023-03-04 03:28:01,756 - mmseg - INFO - Iter [34500/160000] lr: 7.500e-05, eta: 8:23:19, time: 0.196, data_time: 0.007, memory: 52540, decode.loss_ce: 0.2084, decode.acc_seg: 91.5056, loss: 0.2084 +2023-03-04 03:28:11,600 - mmseg - INFO - Iter [34550/160000] lr: 7.500e-05, eta: 8:22:59, time: 0.197, data_time: 0.007, memory: 52540, decode.loss_ce: 0.2032, decode.acc_seg: 91.6684, loss: 0.2032 +2023-03-04 03:28:21,256 - mmseg - INFO - Iter [34600/160000] lr: 7.500e-05, eta: 8:22:39, time: 0.193, data_time: 0.007, memory: 52540, decode.loss_ce: 0.2038, decode.acc_seg: 91.8932, loss: 0.2038 +2023-03-04 03:28:31,018 - mmseg - INFO - Iter [34650/160000] lr: 7.500e-05, eta: 8:22:18, time: 0.195, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1996, decode.acc_seg: 91.8682, loss: 0.1996 +2023-03-04 03:28:40,695 - mmseg - INFO - Iter [34700/160000] lr: 7.500e-05, eta: 8:21:58, time: 0.194, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1988, decode.acc_seg: 91.9167, loss: 0.1988 +2023-03-04 03:28:53,167 - mmseg - INFO - Iter [34750/160000] lr: 7.500e-05, eta: 8:21:47, time: 0.249, data_time: 0.054, memory: 52540, decode.loss_ce: 0.1956, decode.acc_seg: 92.0305, loss: 0.1956 +2023-03-04 03:29:02,836 - mmseg - INFO - Iter [34800/160000] lr: 7.500e-05, eta: 8:21:27, time: 0.193, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1966, decode.acc_seg: 91.9543, loss: 0.1966 +2023-03-04 03:29:12,332 - mmseg - INFO - Iter [34850/160000] lr: 7.500e-05, eta: 8:21:06, time: 0.190, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1930, decode.acc_seg: 92.0036, loss: 0.1930 +2023-03-04 03:29:22,790 - mmseg - INFO - Iter [34900/160000] lr: 7.500e-05, eta: 8:20:48, time: 0.209, data_time: 0.006, memory: 52540, decode.loss_ce: 0.2032, decode.acc_seg: 91.6784, loss: 0.2032 +2023-03-04 03:29:32,589 - mmseg - INFO - Iter [34950/160000] lr: 7.500e-05, eta: 8:20:28, time: 0.196, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1991, decode.acc_seg: 91.7109, loss: 0.1991 +2023-03-04 03:29:42,184 - mmseg - INFO - Exp name: ablation_segformer_mit_b2_segformer_head_unet_fc_small_multi_step_ade_pretrained_freeze_embed_160k_ade20k151_finetune_ema_cos.py +2023-03-04 03:29:42,185 - mmseg - INFO - Iter [35000/160000] lr: 7.500e-05, eta: 8:20:08, time: 0.192, data_time: 0.007, memory: 52540, decode.loss_ce: 0.2029, decode.acc_seg: 91.6532, loss: 0.2029 +2023-03-04 03:29:51,794 - mmseg - INFO - Iter [35050/160000] lr: 7.500e-05, eta: 8:19:47, time: 0.192, data_time: 0.007, memory: 52540, decode.loss_ce: 0.2044, decode.acc_seg: 91.6011, loss: 0.2044 +2023-03-04 03:30:01,825 - mmseg - INFO - Iter [35100/160000] lr: 7.500e-05, eta: 8:19:28, time: 0.201, data_time: 0.007, memory: 52540, decode.loss_ce: 0.2021, decode.acc_seg: 91.7324, loss: 0.2021 +2023-03-04 03:30:11,563 - mmseg - INFO - Iter [35150/160000] lr: 7.500e-05, eta: 8:19:08, time: 0.195, data_time: 0.007, memory: 52540, decode.loss_ce: 0.2099, decode.acc_seg: 91.5307, loss: 0.2099 +2023-03-04 03:30:21,185 - mmseg - INFO - Iter [35200/160000] lr: 7.500e-05, eta: 8:18:48, time: 0.192, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1959, decode.acc_seg: 91.9302, loss: 0.1959 +2023-03-04 03:30:31,387 - mmseg - INFO - Iter [35250/160000] lr: 7.500e-05, eta: 8:18:29, time: 0.204, data_time: 0.008, memory: 52540, decode.loss_ce: 0.2030, decode.acc_seg: 91.7813, loss: 0.2030 +2023-03-04 03:30:40,958 - mmseg - INFO - Iter [35300/160000] lr: 7.500e-05, eta: 8:18:09, time: 0.191, data_time: 0.007, memory: 52540, decode.loss_ce: 0.2007, decode.acc_seg: 91.7392, loss: 0.2007 +2023-03-04 03:30:53,474 - mmseg - INFO - Iter [35350/160000] lr: 7.500e-05, eta: 8:17:59, time: 0.250, data_time: 0.056, memory: 52540, decode.loss_ce: 0.2053, decode.acc_seg: 91.6164, loss: 0.2053 +2023-03-04 03:31:03,294 - mmseg - INFO - Iter [35400/160000] lr: 7.500e-05, eta: 8:17:39, time: 0.197, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1973, decode.acc_seg: 92.1051, loss: 0.1973 +2023-03-04 03:31:12,855 - mmseg - INFO - Iter [35450/160000] lr: 7.500e-05, eta: 8:17:19, time: 0.191, data_time: 0.007, memory: 52540, decode.loss_ce: 0.2049, decode.acc_seg: 91.8038, loss: 0.2049 +2023-03-04 03:31:22,527 - mmseg - INFO - Iter [35500/160000] lr: 7.500e-05, eta: 8:16:59, time: 0.193, data_time: 0.007, memory: 52540, decode.loss_ce: 0.2065, decode.acc_seg: 91.6065, loss: 0.2065 +2023-03-04 03:31:32,016 - mmseg - INFO - Iter [35550/160000] lr: 7.500e-05, eta: 8:16:38, time: 0.190, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1980, decode.acc_seg: 91.9100, loss: 0.1980 +2023-03-04 03:31:41,718 - mmseg - INFO - Iter [35600/160000] lr: 7.500e-05, eta: 8:16:18, time: 0.194, data_time: 0.007, memory: 52540, decode.loss_ce: 0.2075, decode.acc_seg: 91.3955, loss: 0.2075 +2023-03-04 03:31:51,518 - mmseg - INFO - Iter [35650/160000] lr: 7.500e-05, eta: 8:15:59, time: 0.196, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1898, decode.acc_seg: 92.1717, loss: 0.1898 +2023-03-04 03:32:01,091 - mmseg - INFO - Iter [35700/160000] lr: 7.500e-05, eta: 8:15:38, time: 0.191, data_time: 0.007, memory: 52540, decode.loss_ce: 0.2010, decode.acc_seg: 91.7427, loss: 0.2010 +2023-03-04 03:32:10,824 - mmseg - INFO - Iter [35750/160000] lr: 7.500e-05, eta: 8:15:19, time: 0.195, data_time: 0.007, memory: 52540, decode.loss_ce: 0.2025, decode.acc_seg: 91.7853, loss: 0.2025 +2023-03-04 03:32:20,560 - mmseg - INFO - Iter [35800/160000] lr: 7.500e-05, eta: 8:14:59, time: 0.194, data_time: 0.007, memory: 52540, decode.loss_ce: 0.2063, decode.acc_seg: 91.5530, loss: 0.2063 +2023-03-04 03:32:30,140 - mmseg - INFO - Iter [35850/160000] lr: 7.500e-05, eta: 8:14:39, time: 0.192, data_time: 0.007, memory: 52540, decode.loss_ce: 0.2021, decode.acc_seg: 91.7569, loss: 0.2021 +2023-03-04 03:32:39,831 - mmseg - INFO - Iter [35900/160000] lr: 7.500e-05, eta: 8:14:19, time: 0.194, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1977, decode.acc_seg: 91.9021, loss: 0.1977 +2023-03-04 03:32:49,512 - mmseg - INFO - Iter [35950/160000] lr: 7.500e-05, eta: 8:13:59, time: 0.194, data_time: 0.007, memory: 52540, decode.loss_ce: 0.2030, decode.acc_seg: 91.5871, loss: 0.2030 +2023-03-04 03:33:01,745 - mmseg - INFO - Exp name: ablation_segformer_mit_b2_segformer_head_unet_fc_small_multi_step_ade_pretrained_freeze_embed_160k_ade20k151_finetune_ema_cos.py +2023-03-04 03:33:01,745 - mmseg - INFO - Iter [36000/160000] lr: 7.500e-05, eta: 8:13:48, time: 0.245, data_time: 0.055, memory: 52540, decode.loss_ce: 0.2052, decode.acc_seg: 91.6135, loss: 0.2052 +2023-03-04 03:33:11,697 - mmseg - INFO - Iter [36050/160000] lr: 7.500e-05, eta: 8:13:29, time: 0.199, data_time: 0.007, memory: 52540, decode.loss_ce: 0.2050, decode.acc_seg: 91.6710, loss: 0.2050 +2023-03-04 03:33:21,213 - mmseg - INFO - Iter [36100/160000] lr: 7.500e-05, eta: 8:13:09, time: 0.190, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1968, decode.acc_seg: 91.8317, loss: 0.1968 +2023-03-04 03:33:30,850 - mmseg - INFO - Iter [36150/160000] lr: 7.500e-05, eta: 8:12:49, time: 0.193, data_time: 0.007, memory: 52540, decode.loss_ce: 0.2055, decode.acc_seg: 91.7958, loss: 0.2055 +2023-03-04 03:33:40,477 - mmseg - INFO - Iter [36200/160000] lr: 7.500e-05, eta: 8:12:29, time: 0.193, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1974, decode.acc_seg: 91.8367, loss: 0.1974 +2023-03-04 03:33:50,374 - mmseg - INFO - Iter [36250/160000] lr: 7.500e-05, eta: 8:12:10, time: 0.198, data_time: 0.007, memory: 52540, decode.loss_ce: 0.2077, decode.acc_seg: 91.4535, loss: 0.2077 +2023-03-04 03:34:00,339 - mmseg - INFO - Iter [36300/160000] lr: 7.500e-05, eta: 8:11:52, time: 0.199, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1988, decode.acc_seg: 91.9180, loss: 0.1988 +2023-03-04 03:34:10,210 - mmseg - INFO - Iter [36350/160000] lr: 7.500e-05, eta: 8:11:33, time: 0.197, data_time: 0.007, memory: 52540, decode.loss_ce: 0.2027, decode.acc_seg: 91.7533, loss: 0.2027 +2023-03-04 03:34:19,864 - mmseg - INFO - Iter [36400/160000] lr: 7.500e-05, eta: 8:11:13, time: 0.193, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1963, decode.acc_seg: 92.0235, loss: 0.1963 +2023-03-04 03:34:29,462 - mmseg - INFO - Iter [36450/160000] lr: 7.500e-05, eta: 8:10:53, time: 0.192, data_time: 0.007, memory: 52540, decode.loss_ce: 0.2022, decode.acc_seg: 91.7040, loss: 0.2022 +2023-03-04 03:34:39,029 - mmseg - INFO - Iter [36500/160000] lr: 7.500e-05, eta: 8:10:34, time: 0.191, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1958, decode.acc_seg: 91.9234, loss: 0.1958 +2023-03-04 03:34:48,527 - mmseg - INFO - Iter [36550/160000] lr: 7.500e-05, eta: 8:10:14, time: 0.190, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1977, decode.acc_seg: 91.8268, loss: 0.1977 +2023-03-04 03:35:00,577 - mmseg - INFO - Iter [36600/160000] lr: 7.500e-05, eta: 8:10:02, time: 0.241, data_time: 0.056, memory: 52540, decode.loss_ce: 0.2058, decode.acc_seg: 91.6491, loss: 0.2058 +2023-03-04 03:35:10,190 - mmseg - INFO - Iter [36650/160000] lr: 7.500e-05, eta: 8:09:42, time: 0.192, data_time: 0.007, memory: 52540, decode.loss_ce: 0.2009, decode.acc_seg: 91.7753, loss: 0.2009 +2023-03-04 03:35:19,908 - mmseg - INFO - Iter [36700/160000] lr: 7.500e-05, eta: 8:09:23, time: 0.194, data_time: 0.007, memory: 52540, decode.loss_ce: 0.2035, decode.acc_seg: 91.6523, loss: 0.2035 +2023-03-04 03:35:29,823 - mmseg - INFO - Iter [36750/160000] lr: 7.500e-05, eta: 8:09:05, time: 0.198, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1987, decode.acc_seg: 91.7956, loss: 0.1987 +2023-03-04 03:35:39,728 - mmseg - INFO - Iter [36800/160000] lr: 7.500e-05, eta: 8:08:46, time: 0.198, data_time: 0.007, memory: 52540, decode.loss_ce: 0.2122, decode.acc_seg: 91.4780, loss: 0.2122 +2023-03-04 03:35:49,566 - mmseg - INFO - Iter [36850/160000] lr: 7.500e-05, eta: 8:08:27, time: 0.197, data_time: 0.007, memory: 52540, decode.loss_ce: 0.2021, decode.acc_seg: 91.6531, loss: 0.2021 +2023-03-04 03:35:59,302 - mmseg - INFO - Iter [36900/160000] lr: 7.500e-05, eta: 8:08:08, time: 0.195, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1954, decode.acc_seg: 91.9228, loss: 0.1954 +2023-03-04 03:36:09,170 - mmseg - INFO - Iter [36950/160000] lr: 7.500e-05, eta: 8:07:49, time: 0.197, data_time: 0.007, memory: 52540, decode.loss_ce: 0.2057, decode.acc_seg: 91.7965, loss: 0.2057 +2023-03-04 03:36:18,691 - mmseg - INFO - Exp name: ablation_segformer_mit_b2_segformer_head_unet_fc_small_multi_step_ade_pretrained_freeze_embed_160k_ade20k151_finetune_ema_cos.py +2023-03-04 03:36:18,692 - mmseg - INFO - Iter [37000/160000] lr: 7.500e-05, eta: 8:07:30, time: 0.190, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1941, decode.acc_seg: 92.0733, loss: 0.1941 +2023-03-04 03:36:28,460 - mmseg - INFO - Iter [37050/160000] lr: 7.500e-05, eta: 8:07:11, time: 0.195, data_time: 0.007, memory: 52540, decode.loss_ce: 0.2042, decode.acc_seg: 91.7882, loss: 0.2042 +2023-03-04 03:36:37,965 - mmseg - INFO - Iter [37100/160000] lr: 7.500e-05, eta: 8:06:51, time: 0.190, data_time: 0.007, memory: 52540, decode.loss_ce: 0.2034, decode.acc_seg: 91.6912, loss: 0.2034 +2023-03-04 03:36:47,521 - mmseg - INFO - Iter [37150/160000] lr: 7.500e-05, eta: 8:06:31, time: 0.191, data_time: 0.007, memory: 52540, decode.loss_ce: 0.2004, decode.acc_seg: 91.6930, loss: 0.2004 +2023-03-04 03:36:57,206 - mmseg - INFO - Iter [37200/160000] lr: 7.500e-05, eta: 8:06:12, time: 0.194, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1952, decode.acc_seg: 92.0939, loss: 0.1952 +2023-03-04 03:37:09,808 - mmseg - INFO - Iter [37250/160000] lr: 7.500e-05, eta: 8:06:03, time: 0.252, data_time: 0.054, memory: 52540, decode.loss_ce: 0.1983, decode.acc_seg: 91.8124, loss: 0.1983 +2023-03-04 03:37:19,619 - mmseg - INFO - Iter [37300/160000] lr: 7.500e-05, eta: 8:05:44, time: 0.196, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1922, decode.acc_seg: 91.9931, loss: 0.1922 +2023-03-04 03:37:29,331 - mmseg - INFO - Iter [37350/160000] lr: 7.500e-05, eta: 8:05:25, time: 0.194, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1991, decode.acc_seg: 91.8450, loss: 0.1991 +2023-03-04 03:37:39,081 - mmseg - INFO - Iter [37400/160000] lr: 7.500e-05, eta: 8:05:06, time: 0.195, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1993, decode.acc_seg: 91.8833, loss: 0.1993 +2023-03-04 03:37:48,583 - mmseg - INFO - Iter [37450/160000] lr: 7.500e-05, eta: 8:04:47, time: 0.190, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1910, decode.acc_seg: 92.1437, loss: 0.1910 +2023-03-04 03:37:58,338 - mmseg - INFO - Iter [37500/160000] lr: 7.500e-05, eta: 8:04:28, time: 0.195, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1979, decode.acc_seg: 91.9343, loss: 0.1979 +2023-03-04 03:38:07,859 - mmseg - INFO - Iter [37550/160000] lr: 7.500e-05, eta: 8:04:08, time: 0.190, data_time: 0.007, memory: 52540, decode.loss_ce: 0.2037, decode.acc_seg: 91.6580, loss: 0.2037 +2023-03-04 03:38:17,673 - mmseg - INFO - Iter [37600/160000] lr: 7.500e-05, eta: 8:03:50, time: 0.196, data_time: 0.007, memory: 52540, decode.loss_ce: 0.2084, decode.acc_seg: 91.5338, loss: 0.2084 +2023-03-04 03:38:27,263 - mmseg - INFO - Iter [37650/160000] lr: 7.500e-05, eta: 8:03:31, time: 0.192, data_time: 0.007, memory: 52540, decode.loss_ce: 0.2001, decode.acc_seg: 91.8368, loss: 0.2001 +2023-03-04 03:38:36,845 - mmseg - INFO - Iter [37700/160000] lr: 7.500e-05, eta: 8:03:11, time: 0.192, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1988, decode.acc_seg: 91.7343, loss: 0.1988 +2023-03-04 03:38:46,403 - mmseg - INFO - Iter [37750/160000] lr: 7.500e-05, eta: 8:02:52, time: 0.191, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1912, decode.acc_seg: 92.0692, loss: 0.1912 +2023-03-04 03:38:56,013 - mmseg - INFO - Iter [37800/160000] lr: 7.500e-05, eta: 8:02:33, time: 0.192, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1991, decode.acc_seg: 91.7912, loss: 0.1991 +2023-03-04 03:39:05,697 - mmseg - INFO - Iter [37850/160000] lr: 7.500e-05, eta: 8:02:14, time: 0.194, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1929, decode.acc_seg: 92.0682, loss: 0.1929 +2023-03-04 03:39:17,929 - mmseg - INFO - Iter [37900/160000] lr: 7.500e-05, eta: 8:02:03, time: 0.245, data_time: 0.055, memory: 52540, decode.loss_ce: 0.1906, decode.acc_seg: 92.1292, loss: 0.1906 +2023-03-04 03:39:27,515 - mmseg - INFO - Iter [37950/160000] lr: 7.500e-05, eta: 8:01:44, time: 0.192, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1982, decode.acc_seg: 91.9104, loss: 0.1982 +2023-03-04 03:39:37,017 - mmseg - INFO - Exp name: ablation_segformer_mit_b2_segformer_head_unet_fc_small_multi_step_ade_pretrained_freeze_embed_160k_ade20k151_finetune_ema_cos.py +2023-03-04 03:39:37,018 - mmseg - INFO - Iter [38000/160000] lr: 7.500e-05, eta: 8:01:25, time: 0.190, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1938, decode.acc_seg: 91.9914, loss: 0.1938 +2023-03-04 03:39:46,901 - mmseg - INFO - Iter [38050/160000] lr: 7.500e-05, eta: 8:01:07, time: 0.198, data_time: 0.007, memory: 52540, decode.loss_ce: 0.2021, decode.acc_seg: 91.7061, loss: 0.2021 +2023-03-04 03:39:56,813 - mmseg - INFO - Iter [38100/160000] lr: 7.500e-05, eta: 8:00:49, time: 0.198, data_time: 0.007, memory: 52540, decode.loss_ce: 0.2047, decode.acc_seg: 91.5590, loss: 0.2047 +2023-03-04 03:40:06,383 - mmseg - INFO - Iter [38150/160000] lr: 7.500e-05, eta: 8:00:30, time: 0.191, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1948, decode.acc_seg: 91.9461, loss: 0.1948 +2023-03-04 03:40:15,860 - mmseg - INFO - Iter [38200/160000] lr: 7.500e-05, eta: 8:00:11, time: 0.190, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1990, decode.acc_seg: 91.9052, loss: 0.1990 +2023-03-04 03:40:25,501 - mmseg - INFO - Iter [38250/160000] lr: 7.500e-05, eta: 7:59:52, time: 0.193, data_time: 0.007, memory: 52540, decode.loss_ce: 0.2017, decode.acc_seg: 91.7783, loss: 0.2017 +2023-03-04 03:40:35,142 - mmseg - INFO - Iter [38300/160000] lr: 7.500e-05, eta: 7:59:33, time: 0.193, data_time: 0.007, memory: 52540, decode.loss_ce: 0.2004, decode.acc_seg: 91.8792, loss: 0.2004 +2023-03-04 03:40:44,823 - mmseg - INFO - Iter [38350/160000] lr: 7.500e-05, eta: 7:59:14, time: 0.194, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1977, decode.acc_seg: 91.7634, loss: 0.1977 +2023-03-04 03:40:54,522 - mmseg - INFO - Iter [38400/160000] lr: 7.500e-05, eta: 7:58:56, time: 0.194, data_time: 0.007, memory: 52540, decode.loss_ce: 0.2013, decode.acc_seg: 91.7374, loss: 0.2013 +2023-03-04 03:41:04,226 - mmseg - INFO - Iter [38450/160000] lr: 7.500e-05, eta: 7:58:37, time: 0.194, data_time: 0.007, memory: 52540, decode.loss_ce: 0.2008, decode.acc_seg: 91.6885, loss: 0.2008 +2023-03-04 03:41:16,279 - mmseg - INFO - Iter [38500/160000] lr: 7.500e-05, eta: 7:58:26, time: 0.241, data_time: 0.052, memory: 52540, decode.loss_ce: 0.2076, decode.acc_seg: 91.4309, loss: 0.2076 +2023-03-04 03:41:26,250 - mmseg - INFO - Iter [38550/160000] lr: 7.500e-05, eta: 7:58:09, time: 0.199, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1980, decode.acc_seg: 91.6981, loss: 0.1980 +2023-03-04 03:41:36,248 - mmseg - INFO - Iter [38600/160000] lr: 7.500e-05, eta: 7:57:51, time: 0.200, data_time: 0.008, memory: 52540, decode.loss_ce: 0.1976, decode.acc_seg: 91.8270, loss: 0.1976 +2023-03-04 03:41:45,756 - mmseg - INFO - Iter [38650/160000] lr: 7.500e-05, eta: 7:57:32, time: 0.190, data_time: 0.007, memory: 52540, decode.loss_ce: 0.2123, decode.acc_seg: 91.3415, loss: 0.2123 +2023-03-04 03:41:55,396 - mmseg - INFO - Iter [38700/160000] lr: 7.500e-05, eta: 7:57:14, time: 0.193, data_time: 0.007, memory: 52540, decode.loss_ce: 0.2086, decode.acc_seg: 91.5673, loss: 0.2086 +2023-03-04 03:42:05,047 - mmseg - INFO - Iter [38750/160000] lr: 7.500e-05, eta: 7:56:55, time: 0.193, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1965, decode.acc_seg: 91.8879, loss: 0.1965 +2023-03-04 03:42:14,610 - mmseg - INFO - Iter [38800/160000] lr: 7.500e-05, eta: 7:56:36, time: 0.191, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1966, decode.acc_seg: 91.8179, loss: 0.1966 +2023-03-04 03:42:24,492 - mmseg - INFO - Iter [38850/160000] lr: 7.500e-05, eta: 7:56:18, time: 0.198, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1997, decode.acc_seg: 91.8915, loss: 0.1997 +2023-03-04 03:42:34,060 - mmseg - INFO - Iter [38900/160000] lr: 7.500e-05, eta: 7:56:00, time: 0.191, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1982, decode.acc_seg: 92.1208, loss: 0.1982 +2023-03-04 03:42:43,670 - mmseg - INFO - Iter [38950/160000] lr: 7.500e-05, eta: 7:55:41, time: 0.192, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1929, decode.acc_seg: 92.0295, loss: 0.1929 +2023-03-04 03:42:53,169 - mmseg - INFO - Exp name: ablation_segformer_mit_b2_segformer_head_unet_fc_small_multi_step_ade_pretrained_freeze_embed_160k_ade20k151_finetune_ema_cos.py +2023-03-04 03:42:53,169 - mmseg - INFO - Iter [39000/160000] lr: 7.500e-05, eta: 7:55:22, time: 0.190, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1978, decode.acc_seg: 91.8667, loss: 0.1978 +2023-03-04 03:43:02,646 - mmseg - INFO - Iter [39050/160000] lr: 7.500e-05, eta: 7:55:03, time: 0.190, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1917, decode.acc_seg: 92.0174, loss: 0.1917 +2023-03-04 03:43:12,245 - mmseg - INFO - Iter [39100/160000] lr: 7.500e-05, eta: 7:54:45, time: 0.192, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1981, decode.acc_seg: 91.8122, loss: 0.1981 +2023-03-04 03:43:24,564 - mmseg - INFO - Iter [39150/160000] lr: 7.500e-05, eta: 7:54:35, time: 0.246, data_time: 0.056, memory: 52540, decode.loss_ce: 0.1972, decode.acc_seg: 91.9351, loss: 0.1972 +2023-03-04 03:43:34,285 - mmseg - INFO - Iter [39200/160000] lr: 7.500e-05, eta: 7:54:16, time: 0.195, data_time: 0.007, memory: 52540, decode.loss_ce: 0.2006, decode.acc_seg: 91.9739, loss: 0.2006 +2023-03-04 03:43:44,053 - mmseg - INFO - Iter [39250/160000] lr: 7.500e-05, eta: 7:53:59, time: 0.195, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1974, decode.acc_seg: 91.9798, loss: 0.1974 +2023-03-04 03:43:53,788 - mmseg - INFO - Iter [39300/160000] lr: 7.500e-05, eta: 7:53:40, time: 0.195, data_time: 0.007, memory: 52540, decode.loss_ce: 0.2065, decode.acc_seg: 91.5934, loss: 0.2065 +2023-03-04 03:44:03,891 - mmseg - INFO - Iter [39350/160000] lr: 7.500e-05, eta: 7:53:24, time: 0.202, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1960, decode.acc_seg: 91.9485, loss: 0.1960 +2023-03-04 03:44:13,469 - mmseg - INFO - Iter [39400/160000] lr: 7.500e-05, eta: 7:53:05, time: 0.192, data_time: 0.007, memory: 52540, decode.loss_ce: 0.2039, decode.acc_seg: 91.6140, loss: 0.2039 +2023-03-04 03:44:22,958 - mmseg - INFO - Iter [39450/160000] lr: 7.500e-05, eta: 7:52:46, time: 0.190, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1964, decode.acc_seg: 91.9339, loss: 0.1964 +2023-03-04 03:44:33,059 - mmseg - INFO - Iter [39500/160000] lr: 7.500e-05, eta: 7:52:30, time: 0.202, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1925, decode.acc_seg: 92.0434, loss: 0.1925 +2023-03-04 03:44:42,768 - mmseg - INFO - Iter [39550/160000] lr: 7.500e-05, eta: 7:52:11, time: 0.194, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1991, decode.acc_seg: 91.7854, loss: 0.1991 +2023-03-04 03:44:52,661 - mmseg - INFO - Iter [39600/160000] lr: 7.500e-05, eta: 7:51:54, time: 0.198, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1956, decode.acc_seg: 91.9737, loss: 0.1956 +2023-03-04 03:45:02,283 - mmseg - INFO - Iter [39650/160000] lr: 7.500e-05, eta: 7:51:36, time: 0.192, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1911, decode.acc_seg: 92.1258, loss: 0.1911 +2023-03-04 03:45:11,863 - mmseg - INFO - Iter [39700/160000] lr: 7.500e-05, eta: 7:51:17, time: 0.192, data_time: 0.007, memory: 52540, decode.loss_ce: 0.2063, decode.acc_seg: 91.6756, loss: 0.2063 +2023-03-04 03:45:21,306 - mmseg - INFO - Iter [39750/160000] lr: 7.500e-05, eta: 7:50:59, time: 0.189, data_time: 0.007, memory: 52540, decode.loss_ce: 0.2007, decode.acc_seg: 91.9496, loss: 0.2007 +2023-03-04 03:45:33,356 - mmseg - INFO - Iter [39800/160000] lr: 7.500e-05, eta: 7:50:48, time: 0.241, data_time: 0.055, memory: 52540, decode.loss_ce: 0.1964, decode.acc_seg: 91.8696, loss: 0.1964 +2023-03-04 03:45:43,044 - mmseg - INFO - Iter [39850/160000] lr: 7.500e-05, eta: 7:50:30, time: 0.194, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1978, decode.acc_seg: 91.8754, loss: 0.1978 +2023-03-04 03:45:52,672 - mmseg - INFO - Iter [39900/160000] lr: 7.500e-05, eta: 7:50:12, time: 0.193, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1988, decode.acc_seg: 91.8533, loss: 0.1988 +2023-03-04 03:46:02,319 - mmseg - INFO - Iter [39950/160000] lr: 7.500e-05, eta: 7:49:54, time: 0.193, data_time: 0.007, memory: 52540, decode.loss_ce: 0.2020, decode.acc_seg: 91.6531, loss: 0.2020 +2023-03-04 03:46:11,947 - mmseg - INFO - Exp name: ablation_segformer_mit_b2_segformer_head_unet_fc_small_multi_step_ade_pretrained_freeze_embed_160k_ade20k151_finetune_ema_cos.py +2023-03-04 03:46:11,947 - mmseg - INFO - Iter [40000/160000] lr: 7.500e-05, eta: 7:49:36, time: 0.193, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1944, decode.acc_seg: 92.1008, loss: 0.1944 +2023-03-04 03:46:21,974 - mmseg - INFO - Iter [40050/160000] lr: 3.750e-05, eta: 7:49:19, time: 0.200, data_time: 0.007, memory: 52540, decode.loss_ce: 0.2037, decode.acc_seg: 91.5726, loss: 0.2037 +2023-03-04 03:46:31,676 - mmseg - INFO - Iter [40100/160000] lr: 3.750e-05, eta: 7:49:01, time: 0.194, data_time: 0.008, memory: 52540, decode.loss_ce: 0.1969, decode.acc_seg: 91.8987, loss: 0.1969 +2023-03-04 03:46:41,627 - mmseg - INFO - Iter [40150/160000] lr: 3.750e-05, eta: 7:48:44, time: 0.199, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1979, decode.acc_seg: 91.9196, loss: 0.1979 +2023-03-04 03:46:51,417 - mmseg - INFO - Iter [40200/160000] lr: 3.750e-05, eta: 7:48:26, time: 0.196, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1939, decode.acc_seg: 91.9366, loss: 0.1939 +2023-03-04 03:47:00,938 - mmseg - INFO - Iter [40250/160000] lr: 3.750e-05, eta: 7:48:08, time: 0.190, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1902, decode.acc_seg: 92.2209, loss: 0.1902 +2023-03-04 03:47:10,620 - mmseg - INFO - Iter [40300/160000] lr: 3.750e-05, eta: 7:47:50, time: 0.194, data_time: 0.007, memory: 52540, decode.loss_ce: 0.2015, decode.acc_seg: 91.6149, loss: 0.2015 +2023-03-04 03:47:20,596 - mmseg - INFO - Iter [40350/160000] lr: 3.750e-05, eta: 7:47:33, time: 0.200, data_time: 0.007, memory: 52540, decode.loss_ce: 0.2014, decode.acc_seg: 91.9023, loss: 0.2014 +2023-03-04 03:47:32,695 - mmseg - INFO - Iter [40400/160000] lr: 3.750e-05, eta: 7:47:23, time: 0.242, data_time: 0.055, memory: 52540, decode.loss_ce: 0.1929, decode.acc_seg: 92.1563, loss: 0.1929 +2023-03-04 03:47:42,249 - mmseg - INFO - Iter [40450/160000] lr: 3.750e-05, eta: 7:47:05, time: 0.191, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1992, decode.acc_seg: 91.7874, loss: 0.1992 +2023-03-04 03:47:52,255 - mmseg - INFO - Iter [40500/160000] lr: 3.750e-05, eta: 7:46:48, time: 0.200, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1903, decode.acc_seg: 92.0945, loss: 0.1903 +2023-03-04 03:48:02,048 - mmseg - INFO - Iter [40550/160000] lr: 3.750e-05, eta: 7:46:30, time: 0.196, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1993, decode.acc_seg: 91.7782, loss: 0.1993 +2023-03-04 03:48:11,740 - mmseg - INFO - Iter [40600/160000] lr: 3.750e-05, eta: 7:46:13, time: 0.194, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1976, decode.acc_seg: 91.9572, loss: 0.1976 +2023-03-04 03:48:21,372 - mmseg - INFO - Iter [40650/160000] lr: 3.750e-05, eta: 7:45:55, time: 0.193, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1854, decode.acc_seg: 92.3665, loss: 0.1854 +2023-03-04 03:48:31,099 - mmseg - INFO - Iter [40700/160000] lr: 3.750e-05, eta: 7:45:37, time: 0.195, data_time: 0.007, memory: 52540, decode.loss_ce: 0.2014, decode.acc_seg: 91.7858, loss: 0.2014 +2023-03-04 03:48:40,627 - mmseg - INFO - Iter [40750/160000] lr: 3.750e-05, eta: 7:45:19, time: 0.190, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1911, decode.acc_seg: 92.0094, loss: 0.1911 +2023-03-04 03:48:50,740 - mmseg - INFO - Iter [40800/160000] lr: 3.750e-05, eta: 7:45:03, time: 0.202, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1952, decode.acc_seg: 91.9466, loss: 0.1952 +2023-03-04 03:49:00,222 - mmseg - INFO - Iter [40850/160000] lr: 3.750e-05, eta: 7:44:45, time: 0.190, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1951, decode.acc_seg: 91.9987, loss: 0.1951 +2023-03-04 03:49:10,095 - mmseg - INFO - Iter [40900/160000] lr: 3.750e-05, eta: 7:44:28, time: 0.197, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1980, decode.acc_seg: 91.8385, loss: 0.1980 +2023-03-04 03:49:19,551 - mmseg - INFO - Iter [40950/160000] lr: 3.750e-05, eta: 7:44:09, time: 0.189, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1982, decode.acc_seg: 91.9857, loss: 0.1982 +2023-03-04 03:49:29,439 - mmseg - INFO - Exp name: ablation_segformer_mit_b2_segformer_head_unet_fc_small_multi_step_ade_pretrained_freeze_embed_160k_ade20k151_finetune_ema_cos.py +2023-03-04 03:49:29,440 - mmseg - INFO - Iter [41000/160000] lr: 3.750e-05, eta: 7:43:53, time: 0.198, data_time: 0.007, memory: 52540, decode.loss_ce: 0.2059, decode.acc_seg: 91.6306, loss: 0.2059 +2023-03-04 03:49:41,478 - mmseg - INFO - Iter [41050/160000] lr: 3.750e-05, eta: 7:43:42, time: 0.241, data_time: 0.055, memory: 52540, decode.loss_ce: 0.1863, decode.acc_seg: 92.2416, loss: 0.1863 +2023-03-04 03:49:51,088 - mmseg - INFO - Iter [41100/160000] lr: 3.750e-05, eta: 7:43:24, time: 0.192, data_time: 0.007, memory: 52540, decode.loss_ce: 0.2015, decode.acc_seg: 91.7067, loss: 0.2015 +2023-03-04 03:50:00,694 - mmseg - INFO - Iter [41150/160000] lr: 3.750e-05, eta: 7:43:06, time: 0.192, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1941, decode.acc_seg: 92.0741, loss: 0.1941 +2023-03-04 03:50:10,198 - mmseg - INFO - Iter [41200/160000] lr: 3.750e-05, eta: 7:42:48, time: 0.190, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1920, decode.acc_seg: 91.9665, loss: 0.1920 +2023-03-04 03:50:19,899 - mmseg - INFO - Iter [41250/160000] lr: 3.750e-05, eta: 7:42:31, time: 0.194, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1923, decode.acc_seg: 92.2704, loss: 0.1923 +2023-03-04 03:50:29,496 - mmseg - INFO - Iter [41300/160000] lr: 3.750e-05, eta: 7:42:13, time: 0.192, data_time: 0.007, memory: 52540, decode.loss_ce: 0.2042, decode.acc_seg: 91.7872, loss: 0.2042 +2023-03-04 03:50:38,980 - mmseg - INFO - Iter [41350/160000] lr: 3.750e-05, eta: 7:41:55, time: 0.190, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1936, decode.acc_seg: 91.9659, loss: 0.1936 +2023-03-04 03:50:48,552 - mmseg - INFO - Iter [41400/160000] lr: 3.750e-05, eta: 7:41:38, time: 0.191, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1952, decode.acc_seg: 91.9252, loss: 0.1952 +2023-03-04 03:50:58,236 - mmseg - INFO - Iter [41450/160000] lr: 3.750e-05, eta: 7:41:20, time: 0.194, data_time: 0.007, memory: 52540, decode.loss_ce: 0.2028, decode.acc_seg: 91.5752, loss: 0.2028 +2023-03-04 03:51:07,775 - mmseg - INFO - Iter [41500/160000] lr: 3.750e-05, eta: 7:41:02, time: 0.191, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1950, decode.acc_seg: 92.0280, loss: 0.1950 +2023-03-04 03:51:17,616 - mmseg - INFO - Iter [41550/160000] lr: 3.750e-05, eta: 7:40:46, time: 0.197, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1976, decode.acc_seg: 92.0602, loss: 0.1976 +2023-03-04 03:51:27,084 - mmseg - INFO - Iter [41600/160000] lr: 3.750e-05, eta: 7:40:28, time: 0.189, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1995, decode.acc_seg: 91.9130, loss: 0.1995 +2023-03-04 03:51:39,210 - mmseg - INFO - Iter [41650/160000] lr: 3.750e-05, eta: 7:40:17, time: 0.243, data_time: 0.054, memory: 52540, decode.loss_ce: 0.1980, decode.acc_seg: 92.1031, loss: 0.1980 +2023-03-04 03:51:48,714 - mmseg - INFO - Iter [41700/160000] lr: 3.750e-05, eta: 7:39:59, time: 0.190, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1921, decode.acc_seg: 92.1244, loss: 0.1921 +2023-03-04 03:51:58,452 - mmseg - INFO - Iter [41750/160000] lr: 3.750e-05, eta: 7:39:42, time: 0.195, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1922, decode.acc_seg: 92.0676, loss: 0.1922 +2023-03-04 03:52:08,036 - mmseg - INFO - Iter [41800/160000] lr: 3.750e-05, eta: 7:39:25, time: 0.191, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1975, decode.acc_seg: 91.8489, loss: 0.1975 +2023-03-04 03:52:18,058 - mmseg - INFO - Iter [41850/160000] lr: 3.750e-05, eta: 7:39:08, time: 0.201, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1994, decode.acc_seg: 91.8036, loss: 0.1994 +2023-03-04 03:52:27,590 - mmseg - INFO - Iter [41900/160000] lr: 3.750e-05, eta: 7:38:51, time: 0.191, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1931, decode.acc_seg: 92.0556, loss: 0.1931 +2023-03-04 03:52:37,256 - mmseg - INFO - Iter [41950/160000] lr: 3.750e-05, eta: 7:38:34, time: 0.193, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1917, decode.acc_seg: 92.0531, loss: 0.1917 +2023-03-04 03:52:47,021 - mmseg - INFO - Exp name: ablation_segformer_mit_b2_segformer_head_unet_fc_small_multi_step_ade_pretrained_freeze_embed_160k_ade20k151_finetune_ema_cos.py +2023-03-04 03:52:47,022 - mmseg - INFO - Iter [42000/160000] lr: 3.750e-05, eta: 7:38:17, time: 0.195, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1919, decode.acc_seg: 92.1447, loss: 0.1919 +2023-03-04 03:52:56,595 - mmseg - INFO - Iter [42050/160000] lr: 3.750e-05, eta: 7:37:59, time: 0.191, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1878, decode.acc_seg: 92.2119, loss: 0.1878 +2023-03-04 03:53:06,775 - mmseg - INFO - Iter [42100/160000] lr: 3.750e-05, eta: 7:37:43, time: 0.204, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1928, decode.acc_seg: 92.0442, loss: 0.1928 +2023-03-04 03:53:16,542 - mmseg - INFO - Iter [42150/160000] lr: 3.750e-05, eta: 7:37:26, time: 0.195, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1931, decode.acc_seg: 92.0374, loss: 0.1931 +2023-03-04 03:53:26,409 - mmseg - INFO - Iter [42200/160000] lr: 3.750e-05, eta: 7:37:10, time: 0.198, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1886, decode.acc_seg: 92.2060, loss: 0.1886 +2023-03-04 03:53:36,066 - mmseg - INFO - Iter [42250/160000] lr: 3.750e-05, eta: 7:36:53, time: 0.193, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1994, decode.acc_seg: 91.9152, loss: 0.1994 +2023-03-04 03:53:48,386 - mmseg - INFO - Iter [42300/160000] lr: 3.750e-05, eta: 7:36:43, time: 0.246, data_time: 0.053, memory: 52540, decode.loss_ce: 0.1900, decode.acc_seg: 92.1562, loss: 0.1900 +2023-03-04 03:53:58,013 - mmseg - INFO - Iter [42350/160000] lr: 3.750e-05, eta: 7:36:26, time: 0.193, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1904, decode.acc_seg: 92.2154, loss: 0.1904 +2023-03-04 03:54:07,593 - mmseg - INFO - Iter [42400/160000] lr: 3.750e-05, eta: 7:36:08, time: 0.192, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1988, decode.acc_seg: 92.0548, loss: 0.1988 +2023-03-04 03:54:17,463 - mmseg - INFO - Iter [42450/160000] lr: 3.750e-05, eta: 7:35:52, time: 0.197, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1929, decode.acc_seg: 92.1279, loss: 0.1929 +2023-03-04 03:54:27,059 - mmseg - INFO - Iter [42500/160000] lr: 3.750e-05, eta: 7:35:35, time: 0.192, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1975, decode.acc_seg: 92.0177, loss: 0.1975 +2023-03-04 03:54:36,767 - mmseg - INFO - Iter [42550/160000] lr: 3.750e-05, eta: 7:35:18, time: 0.194, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1947, decode.acc_seg: 91.9223, loss: 0.1947 +2023-03-04 03:54:46,305 - mmseg - INFO - Iter [42600/160000] lr: 3.750e-05, eta: 7:35:00, time: 0.191, data_time: 0.007, memory: 52540, decode.loss_ce: 0.2019, decode.acc_seg: 91.7997, loss: 0.2019 +2023-03-04 03:54:55,760 - mmseg - INFO - Iter [42650/160000] lr: 3.750e-05, eta: 7:34:43, time: 0.189, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1930, decode.acc_seg: 92.0122, loss: 0.1930 +2023-03-04 03:55:05,451 - mmseg - INFO - Iter [42700/160000] lr: 3.750e-05, eta: 7:34:26, time: 0.194, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1981, decode.acc_seg: 91.9688, loss: 0.1981 +2023-03-04 03:55:15,354 - mmseg - INFO - Iter [42750/160000] lr: 3.750e-05, eta: 7:34:09, time: 0.198, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1854, decode.acc_seg: 92.3177, loss: 0.1854 +2023-03-04 03:55:24,994 - mmseg - INFO - Iter [42800/160000] lr: 3.750e-05, eta: 7:33:52, time: 0.193, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1916, decode.acc_seg: 92.1309, loss: 0.1916 +2023-03-04 03:55:34,784 - mmseg - INFO - Iter [42850/160000] lr: 3.750e-05, eta: 7:33:36, time: 0.196, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1950, decode.acc_seg: 92.0972, loss: 0.1950 +2023-03-04 03:55:44,414 - mmseg - INFO - Iter [42900/160000] lr: 3.750e-05, eta: 7:33:19, time: 0.193, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1971, decode.acc_seg: 91.8795, loss: 0.1971 +2023-03-04 03:55:56,361 - mmseg - INFO - Iter [42950/160000] lr: 3.750e-05, eta: 7:33:08, time: 0.239, data_time: 0.054, memory: 52540, decode.loss_ce: 0.1938, decode.acc_seg: 91.9866, loss: 0.1938 +2023-03-04 03:56:05,996 - mmseg - INFO - Exp name: ablation_segformer_mit_b2_segformer_head_unet_fc_small_multi_step_ade_pretrained_freeze_embed_160k_ade20k151_finetune_ema_cos.py +2023-03-04 03:56:05,996 - mmseg - INFO - Iter [43000/160000] lr: 3.750e-05, eta: 7:32:51, time: 0.193, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1978, decode.acc_seg: 91.9719, loss: 0.1978 +2023-03-04 03:56:15,519 - mmseg - INFO - Iter [43050/160000] lr: 3.750e-05, eta: 7:32:34, time: 0.190, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1904, decode.acc_seg: 92.1459, loss: 0.1904 +2023-03-04 03:56:25,707 - mmseg - INFO - Iter [43100/160000] lr: 3.750e-05, eta: 7:32:18, time: 0.204, data_time: 0.006, memory: 52540, decode.loss_ce: 0.1975, decode.acc_seg: 91.9304, loss: 0.1975 +2023-03-04 03:56:35,517 - mmseg - INFO - Iter [43150/160000] lr: 3.750e-05, eta: 7:32:02, time: 0.196, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1981, decode.acc_seg: 91.9524, loss: 0.1981 +2023-03-04 03:56:45,160 - mmseg - INFO - Iter [43200/160000] lr: 3.750e-05, eta: 7:31:45, time: 0.193, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1991, decode.acc_seg: 91.8853, loss: 0.1991 +2023-03-04 03:56:55,073 - mmseg - INFO - Iter [43250/160000] lr: 3.750e-05, eta: 7:31:29, time: 0.198, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1945, decode.acc_seg: 91.9665, loss: 0.1945 +2023-03-04 03:57:04,650 - mmseg - INFO - Iter [43300/160000] lr: 3.750e-05, eta: 7:31:12, time: 0.192, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1951, decode.acc_seg: 91.9809, loss: 0.1951 +2023-03-04 03:57:14,251 - mmseg - INFO - Iter [43350/160000] lr: 3.750e-05, eta: 7:30:55, time: 0.192, data_time: 0.007, memory: 52540, decode.loss_ce: 0.2007, decode.acc_seg: 91.8462, loss: 0.2007 +2023-03-04 03:57:23,924 - mmseg - INFO - Iter [43400/160000] lr: 3.750e-05, eta: 7:30:38, time: 0.193, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1966, decode.acc_seg: 91.8439, loss: 0.1966 +2023-03-04 03:57:33,737 - mmseg - INFO - Iter [43450/160000] lr: 3.750e-05, eta: 7:30:21, time: 0.196, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1910, decode.acc_seg: 92.0748, loss: 0.1910 +2023-03-04 03:57:43,301 - mmseg - INFO - Iter [43500/160000] lr: 3.750e-05, eta: 7:30:04, time: 0.191, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1985, decode.acc_seg: 91.9459, loss: 0.1985 +2023-03-04 03:57:55,357 - mmseg - INFO - Iter [43550/160000] lr: 3.750e-05, eta: 7:29:54, time: 0.241, data_time: 0.053, memory: 52540, decode.loss_ce: 0.1906, decode.acc_seg: 92.3017, loss: 0.1906 +2023-03-04 03:58:05,038 - mmseg - INFO - Iter [43600/160000] lr: 3.750e-05, eta: 7:29:37, time: 0.194, data_time: 0.007, memory: 52540, decode.loss_ce: 0.2062, decode.acc_seg: 91.6676, loss: 0.2062 +2023-03-04 03:58:14,509 - mmseg - INFO - Iter [43650/160000] lr: 3.750e-05, eta: 7:29:20, time: 0.189, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1930, decode.acc_seg: 92.2387, loss: 0.1930 +2023-03-04 03:58:24,040 - mmseg - INFO - Iter [43700/160000] lr: 3.750e-05, eta: 7:29:03, time: 0.191, data_time: 0.007, memory: 52540, decode.loss_ce: 0.2031, decode.acc_seg: 91.7212, loss: 0.2031 +2023-03-04 03:58:34,044 - mmseg - INFO - Iter [43750/160000] lr: 3.750e-05, eta: 7:28:47, time: 0.200, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1959, decode.acc_seg: 91.9065, loss: 0.1959 +2023-03-04 03:58:43,504 - mmseg - INFO - Iter [43800/160000] lr: 3.750e-05, eta: 7:28:30, time: 0.189, data_time: 0.007, memory: 52540, decode.loss_ce: 0.2008, decode.acc_seg: 91.7090, loss: 0.2008 +2023-03-04 03:58:52,972 - mmseg - INFO - Iter [43850/160000] lr: 3.750e-05, eta: 7:28:13, time: 0.189, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1931, decode.acc_seg: 92.0199, loss: 0.1931 +2023-03-04 03:59:02,647 - mmseg - INFO - Iter [43900/160000] lr: 3.750e-05, eta: 7:27:56, time: 0.193, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1940, decode.acc_seg: 92.0165, loss: 0.1940 +2023-03-04 03:59:12,185 - mmseg - INFO - Iter [43950/160000] lr: 3.750e-05, eta: 7:27:39, time: 0.191, data_time: 0.007, memory: 52540, decode.loss_ce: 0.2040, decode.acc_seg: 91.7788, loss: 0.2040 +2023-03-04 03:59:21,935 - mmseg - INFO - Exp name: ablation_segformer_mit_b2_segformer_head_unet_fc_small_multi_step_ade_pretrained_freeze_embed_160k_ade20k151_finetune_ema_cos.py +2023-03-04 03:59:21,935 - mmseg - INFO - Iter [44000/160000] lr: 3.750e-05, eta: 7:27:23, time: 0.195, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1922, decode.acc_seg: 92.1832, loss: 0.1922 +2023-03-04 03:59:31,475 - mmseg - INFO - Iter [44050/160000] lr: 3.750e-05, eta: 7:27:06, time: 0.191, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1887, decode.acc_seg: 92.2330, loss: 0.1887 +2023-03-04 03:59:41,023 - mmseg - INFO - Iter [44100/160000] lr: 3.750e-05, eta: 7:26:49, time: 0.191, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1940, decode.acc_seg: 92.1433, loss: 0.1940 +2023-03-04 03:59:50,912 - mmseg - INFO - Iter [44150/160000] lr: 3.750e-05, eta: 7:26:33, time: 0.198, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1909, decode.acc_seg: 92.0954, loss: 0.1909 +2023-03-04 04:00:03,314 - mmseg - INFO - Iter [44200/160000] lr: 3.750e-05, eta: 7:26:24, time: 0.248, data_time: 0.055, memory: 52540, decode.loss_ce: 0.1955, decode.acc_seg: 92.0054, loss: 0.1955 +2023-03-04 04:00:12,837 - mmseg - INFO - Iter [44250/160000] lr: 3.750e-05, eta: 7:26:07, time: 0.190, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1921, decode.acc_seg: 91.9724, loss: 0.1921 +2023-03-04 04:00:22,641 - mmseg - INFO - Iter [44300/160000] lr: 3.750e-05, eta: 7:25:51, time: 0.196, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1927, decode.acc_seg: 92.1723, loss: 0.1927 +2023-03-04 04:00:32,311 - mmseg - INFO - Iter [44350/160000] lr: 3.750e-05, eta: 7:25:34, time: 0.193, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1975, decode.acc_seg: 92.0151, loss: 0.1975 +2023-03-04 04:00:42,253 - mmseg - INFO - Iter [44400/160000] lr: 3.750e-05, eta: 7:25:19, time: 0.199, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1961, decode.acc_seg: 91.8420, loss: 0.1961 +2023-03-04 04:00:51,759 - mmseg - INFO - Iter [44450/160000] lr: 3.750e-05, eta: 7:25:02, time: 0.190, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1848, decode.acc_seg: 92.3567, loss: 0.1848 +2023-03-04 04:01:01,518 - mmseg - INFO - Iter [44500/160000] lr: 3.750e-05, eta: 7:24:45, time: 0.195, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1841, decode.acc_seg: 92.4586, loss: 0.1841 +2023-03-04 04:01:11,619 - mmseg - INFO - Iter [44550/160000] lr: 3.750e-05, eta: 7:24:30, time: 0.202, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1967, decode.acc_seg: 91.9606, loss: 0.1967 +2023-03-04 04:01:21,451 - mmseg - INFO - Iter [44600/160000] lr: 3.750e-05, eta: 7:24:14, time: 0.197, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1903, decode.acc_seg: 92.2052, loss: 0.1903 +2023-03-04 04:01:31,255 - mmseg - INFO - Iter [44650/160000] lr: 3.750e-05, eta: 7:23:58, time: 0.196, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1984, decode.acc_seg: 91.8241, loss: 0.1984 +2023-03-04 04:01:40,864 - mmseg - INFO - Iter [44700/160000] lr: 3.750e-05, eta: 7:23:41, time: 0.192, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1939, decode.acc_seg: 92.0031, loss: 0.1939 +2023-03-04 04:01:50,587 - mmseg - INFO - Iter [44750/160000] lr: 3.750e-05, eta: 7:23:25, time: 0.194, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1972, decode.acc_seg: 91.8959, loss: 0.1972 +2023-03-04 04:02:00,232 - mmseg - INFO - Iter [44800/160000] lr: 3.750e-05, eta: 7:23:09, time: 0.193, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1942, decode.acc_seg: 92.1011, loss: 0.1942 +2023-03-04 04:02:12,516 - mmseg - INFO - Iter [44850/160000] lr: 3.750e-05, eta: 7:22:59, time: 0.246, data_time: 0.053, memory: 52540, decode.loss_ce: 0.1903, decode.acc_seg: 92.4586, loss: 0.1903 +2023-03-04 04:02:22,064 - mmseg - INFO - Iter [44900/160000] lr: 3.750e-05, eta: 7:22:43, time: 0.191, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1924, decode.acc_seg: 92.0797, loss: 0.1924 +2023-03-04 04:02:31,957 - mmseg - INFO - Iter [44950/160000] lr: 3.750e-05, eta: 7:22:27, time: 0.198, data_time: 0.007, memory: 52540, decode.loss_ce: 0.2010, decode.acc_seg: 91.8589, loss: 0.2010 +2023-03-04 04:02:41,577 - mmseg - INFO - Exp name: ablation_segformer_mit_b2_segformer_head_unet_fc_small_multi_step_ade_pretrained_freeze_embed_160k_ade20k151_finetune_ema_cos.py +2023-03-04 04:02:41,577 - mmseg - INFO - Iter [45000/160000] lr: 3.750e-05, eta: 7:22:10, time: 0.192, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1906, decode.acc_seg: 92.1884, loss: 0.1906 +2023-03-04 04:02:51,672 - mmseg - INFO - Iter [45050/160000] lr: 3.750e-05, eta: 7:21:55, time: 0.202, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1903, decode.acc_seg: 92.2395, loss: 0.1903 +2023-03-04 04:03:01,343 - mmseg - INFO - Iter [45100/160000] lr: 3.750e-05, eta: 7:21:39, time: 0.193, data_time: 0.007, memory: 52540, decode.loss_ce: 0.2026, decode.acc_seg: 91.8397, loss: 0.2026 +2023-03-04 04:03:11,154 - mmseg - INFO - Iter [45150/160000] lr: 3.750e-05, eta: 7:21:23, time: 0.196, data_time: 0.007, memory: 52540, decode.loss_ce: 0.2004, decode.acc_seg: 91.8748, loss: 0.2004 +2023-03-04 04:03:20,869 - mmseg - INFO - Iter [45200/160000] lr: 3.750e-05, eta: 7:21:07, time: 0.194, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1912, decode.acc_seg: 92.0793, loss: 0.1912 +2023-03-04 04:03:30,620 - mmseg - INFO - Iter [45250/160000] lr: 3.750e-05, eta: 7:20:51, time: 0.195, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1957, decode.acc_seg: 91.9033, loss: 0.1957 +2023-03-04 04:03:40,207 - mmseg - INFO - Iter [45300/160000] lr: 3.750e-05, eta: 7:20:34, time: 0.192, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1947, decode.acc_seg: 91.8994, loss: 0.1947 +2023-03-04 04:03:49,727 - mmseg - INFO - Iter [45350/160000] lr: 3.750e-05, eta: 7:20:18, time: 0.190, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1967, decode.acc_seg: 91.8804, loss: 0.1967 +2023-03-04 04:03:59,668 - mmseg - INFO - Iter [45400/160000] lr: 3.750e-05, eta: 7:20:02, time: 0.199, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1933, decode.acc_seg: 92.0405, loss: 0.1933 +2023-03-04 04:04:12,246 - mmseg - INFO - Iter [45450/160000] lr: 3.750e-05, eta: 7:19:53, time: 0.252, data_time: 0.055, memory: 52540, decode.loss_ce: 0.1943, decode.acc_seg: 91.9234, loss: 0.1943 +2023-03-04 04:04:21,734 - mmseg - INFO - Iter [45500/160000] lr: 3.750e-05, eta: 7:19:37, time: 0.190, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1914, decode.acc_seg: 92.0653, loss: 0.1914 +2023-03-04 04:04:31,213 - mmseg - INFO - Iter [45550/160000] lr: 3.750e-05, eta: 7:19:20, time: 0.190, data_time: 0.007, memory: 52540, decode.loss_ce: 0.2004, decode.acc_seg: 91.9032, loss: 0.2004 +2023-03-04 04:04:41,188 - mmseg - INFO - Iter [45600/160000] lr: 3.750e-05, eta: 7:19:05, time: 0.199, data_time: 0.007, memory: 52540, decode.loss_ce: 0.2045, decode.acc_seg: 91.7118, loss: 0.2045 +2023-03-04 04:04:50,639 - mmseg - INFO - Iter [45650/160000] lr: 3.750e-05, eta: 7:18:48, time: 0.189, data_time: 0.007, memory: 52540, decode.loss_ce: 0.2014, decode.acc_seg: 91.8259, loss: 0.2014 +2023-03-04 04:05:00,152 - mmseg - INFO - Iter [45700/160000] lr: 3.750e-05, eta: 7:18:32, time: 0.190, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1953, decode.acc_seg: 92.0370, loss: 0.1953 +2023-03-04 04:05:09,885 - mmseg - INFO - Iter [45750/160000] lr: 3.750e-05, eta: 7:18:16, time: 0.195, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1857, decode.acc_seg: 92.2991, loss: 0.1857 +2023-03-04 04:05:19,693 - mmseg - INFO - Iter [45800/160000] lr: 3.750e-05, eta: 7:18:00, time: 0.196, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1902, decode.acc_seg: 92.1436, loss: 0.1902 +2023-03-04 04:05:29,521 - mmseg - INFO - Iter [45850/160000] lr: 3.750e-05, eta: 7:17:44, time: 0.197, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1965, decode.acc_seg: 92.0071, loss: 0.1965 +2023-03-04 04:05:39,037 - mmseg - INFO - Iter [45900/160000] lr: 3.750e-05, eta: 7:17:28, time: 0.190, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1917, decode.acc_seg: 92.1302, loss: 0.1917 +2023-03-04 04:05:48,512 - mmseg - INFO - Iter [45950/160000] lr: 3.750e-05, eta: 7:17:11, time: 0.189, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1879, decode.acc_seg: 92.3265, loss: 0.1879 +2023-03-04 04:05:58,327 - mmseg - INFO - Exp name: ablation_segformer_mit_b2_segformer_head_unet_fc_small_multi_step_ade_pretrained_freeze_embed_160k_ade20k151_finetune_ema_cos.py +2023-03-04 04:05:58,327 - mmseg - INFO - Iter [46000/160000] lr: 3.750e-05, eta: 7:16:55, time: 0.196, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1845, decode.acc_seg: 92.3213, loss: 0.1845 +2023-03-04 04:06:08,032 - mmseg - INFO - Iter [46050/160000] lr: 3.750e-05, eta: 7:16:40, time: 0.194, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1941, decode.acc_seg: 91.8920, loss: 0.1941 +2023-03-04 04:06:20,483 - mmseg - INFO - Iter [46100/160000] lr: 3.750e-05, eta: 7:16:30, time: 0.249, data_time: 0.054, memory: 52540, decode.loss_ce: 0.1930, decode.acc_seg: 92.0239, loss: 0.1930 +2023-03-04 04:06:30,212 - mmseg - INFO - Iter [46150/160000] lr: 3.750e-05, eta: 7:16:15, time: 0.195, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1957, decode.acc_seg: 91.9914, loss: 0.1957 +2023-03-04 04:06:40,194 - mmseg - INFO - Iter [46200/160000] lr: 3.750e-05, eta: 7:15:59, time: 0.200, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1897, decode.acc_seg: 91.9996, loss: 0.1897 +2023-03-04 04:06:49,993 - mmseg - INFO - Iter [46250/160000] lr: 3.750e-05, eta: 7:15:44, time: 0.196, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1942, decode.acc_seg: 92.0630, loss: 0.1942 +2023-03-04 04:06:59,837 - mmseg - INFO - Iter [46300/160000] lr: 3.750e-05, eta: 7:15:28, time: 0.197, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1844, decode.acc_seg: 92.4100, loss: 0.1844 +2023-03-04 04:07:09,579 - mmseg - INFO - Iter [46350/160000] lr: 3.750e-05, eta: 7:15:12, time: 0.195, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1984, decode.acc_seg: 91.8933, loss: 0.1984 +2023-03-04 04:07:19,135 - mmseg - INFO - Iter [46400/160000] lr: 3.750e-05, eta: 7:14:56, time: 0.191, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1947, decode.acc_seg: 91.9640, loss: 0.1947 +2023-03-04 04:07:28,629 - mmseg - INFO - Iter [46450/160000] lr: 3.750e-05, eta: 7:14:40, time: 0.190, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1929, decode.acc_seg: 92.1272, loss: 0.1929 +2023-03-04 04:07:38,264 - mmseg - INFO - Iter [46500/160000] lr: 3.750e-05, eta: 7:14:24, time: 0.193, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1933, decode.acc_seg: 92.0500, loss: 0.1933 +2023-03-04 04:07:48,008 - mmseg - INFO - Iter [46550/160000] lr: 3.750e-05, eta: 7:14:08, time: 0.195, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1939, decode.acc_seg: 92.0628, loss: 0.1939 +2023-03-04 04:07:57,547 - mmseg - INFO - Iter [46600/160000] lr: 3.750e-05, eta: 7:13:52, time: 0.191, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1966, decode.acc_seg: 91.9498, loss: 0.1966 +2023-03-04 04:08:07,106 - mmseg - INFO - Iter [46650/160000] lr: 3.750e-05, eta: 7:13:36, time: 0.191, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1947, decode.acc_seg: 92.0263, loss: 0.1947 +2023-03-04 04:08:19,153 - mmseg - INFO - Iter [46700/160000] lr: 3.750e-05, eta: 7:13:26, time: 0.241, data_time: 0.053, memory: 52540, decode.loss_ce: 0.1962, decode.acc_seg: 91.8819, loss: 0.1962 +2023-03-04 04:08:28,822 - mmseg - INFO - Iter [46750/160000] lr: 3.750e-05, eta: 7:13:10, time: 0.193, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1968, decode.acc_seg: 91.9879, loss: 0.1968 +2023-03-04 04:08:38,422 - mmseg - INFO - Iter [46800/160000] lr: 3.750e-05, eta: 7:12:54, time: 0.192, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1897, decode.acc_seg: 92.1223, loss: 0.1897 +2023-03-04 04:08:48,033 - mmseg - INFO - Iter [46850/160000] lr: 3.750e-05, eta: 7:12:38, time: 0.192, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1903, decode.acc_seg: 92.1058, loss: 0.1903 +2023-03-04 04:08:57,542 - mmseg - INFO - Iter [46900/160000] lr: 3.750e-05, eta: 7:12:22, time: 0.190, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1943, decode.acc_seg: 92.0000, loss: 0.1943 +2023-03-04 04:09:07,119 - mmseg - INFO - Iter [46950/160000] lr: 3.750e-05, eta: 7:12:06, time: 0.192, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1921, decode.acc_seg: 92.1334, loss: 0.1921 +2023-03-04 04:09:16,589 - mmseg - INFO - Exp name: ablation_segformer_mit_b2_segformer_head_unet_fc_small_multi_step_ade_pretrained_freeze_embed_160k_ade20k151_finetune_ema_cos.py +2023-03-04 04:09:16,589 - mmseg - INFO - Iter [47000/160000] lr: 3.750e-05, eta: 7:11:49, time: 0.189, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1911, decode.acc_seg: 92.0168, loss: 0.1911 +2023-03-04 04:09:26,115 - mmseg - INFO - Iter [47050/160000] lr: 3.750e-05, eta: 7:11:33, time: 0.191, data_time: 0.007, memory: 52540, decode.loss_ce: 0.2002, decode.acc_seg: 91.8826, loss: 0.2002 +2023-03-04 04:09:35,703 - mmseg - INFO - Iter [47100/160000] lr: 3.750e-05, eta: 7:11:17, time: 0.191, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1951, decode.acc_seg: 92.1739, loss: 0.1951 +2023-03-04 04:09:45,422 - mmseg - INFO - Iter [47150/160000] lr: 3.750e-05, eta: 7:11:02, time: 0.195, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1877, decode.acc_seg: 92.3078, loss: 0.1877 +2023-03-04 04:09:55,076 - mmseg - INFO - Iter [47200/160000] lr: 3.750e-05, eta: 7:10:46, time: 0.193, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1879, decode.acc_seg: 92.2290, loss: 0.1879 +2023-03-04 04:10:05,062 - mmseg - INFO - Iter [47250/160000] lr: 3.750e-05, eta: 7:10:31, time: 0.200, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1960, decode.acc_seg: 91.8403, loss: 0.1960 +2023-03-04 04:10:14,695 - mmseg - INFO - Iter [47300/160000] lr: 3.750e-05, eta: 7:10:15, time: 0.193, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1818, decode.acc_seg: 92.5186, loss: 0.1818 +2023-03-04 04:10:27,004 - mmseg - INFO - Iter [47350/160000] lr: 3.750e-05, eta: 7:10:06, time: 0.246, data_time: 0.053, memory: 52540, decode.loss_ce: 0.1878, decode.acc_seg: 92.2964, loss: 0.1878 +2023-03-04 04:10:36,522 - mmseg - INFO - Iter [47400/160000] lr: 3.750e-05, eta: 7:09:50, time: 0.190, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1934, decode.acc_seg: 92.0172, loss: 0.1934 +2023-03-04 04:10:46,112 - mmseg - INFO - Iter [47450/160000] lr: 3.750e-05, eta: 7:09:34, time: 0.192, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1958, decode.acc_seg: 91.9614, loss: 0.1958 +2023-03-04 04:10:55,697 - mmseg - INFO - Iter [47500/160000] lr: 3.750e-05, eta: 7:09:18, time: 0.192, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1865, decode.acc_seg: 92.2935, loss: 0.1865 +2023-03-04 04:11:05,212 - mmseg - INFO - Iter [47550/160000] lr: 3.750e-05, eta: 7:09:02, time: 0.190, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1918, decode.acc_seg: 92.2173, loss: 0.1918 +2023-03-04 04:11:15,036 - mmseg - INFO - Iter [47600/160000] lr: 3.750e-05, eta: 7:08:47, time: 0.196, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1869, decode.acc_seg: 92.2701, loss: 0.1869 +2023-03-04 04:11:24,769 - mmseg - INFO - Iter [47650/160000] lr: 3.750e-05, eta: 7:08:31, time: 0.194, data_time: 0.007, memory: 52540, decode.loss_ce: 0.2036, decode.acc_seg: 91.7589, loss: 0.2036 +2023-03-04 04:11:34,307 - mmseg - INFO - Iter [47700/160000] lr: 3.750e-05, eta: 7:08:15, time: 0.191, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1881, decode.acc_seg: 92.1567, loss: 0.1881 +2023-03-04 04:11:44,183 - mmseg - INFO - Iter [47750/160000] lr: 3.750e-05, eta: 7:08:00, time: 0.198, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1880, decode.acc_seg: 92.2397, loss: 0.1880 +2023-03-04 04:11:54,073 - mmseg - INFO - Iter [47800/160000] lr: 3.750e-05, eta: 7:07:45, time: 0.198, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1931, decode.acc_seg: 92.0321, loss: 0.1931 +2023-03-04 04:12:03,857 - mmseg - INFO - Iter [47850/160000] lr: 3.750e-05, eta: 7:07:30, time: 0.196, data_time: 0.007, memory: 52540, decode.loss_ce: 0.2062, decode.acc_seg: 91.6778, loss: 0.2062 +2023-03-04 04:12:13,520 - mmseg - INFO - Iter [47900/160000] lr: 3.750e-05, eta: 7:07:14, time: 0.193, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1935, decode.acc_seg: 91.9499, loss: 0.1935 +2023-03-04 04:12:23,405 - mmseg - INFO - Iter [47950/160000] lr: 3.750e-05, eta: 7:06:59, time: 0.198, data_time: 0.007, memory: 52540, decode.loss_ce: 0.2005, decode.acc_seg: 91.8883, loss: 0.2005 +2023-03-04 04:12:35,506 - mmseg - INFO - Swap parameters (after train) after iter [48000] +2023-03-04 04:12:35,519 - mmseg - INFO - Saving checkpoint at 48000 iterations +2023-03-04 04:12:36,557 - mmseg - INFO - Exp name: ablation_segformer_mit_b2_segformer_head_unet_fc_small_multi_step_ade_pretrained_freeze_embed_160k_ade20k151_finetune_ema_cos.py +2023-03-04 04:12:36,557 - mmseg - INFO - Iter [48000/160000] lr: 3.750e-05, eta: 7:06:52, time: 0.263, data_time: 0.054, memory: 52540, decode.loss_ce: 0.1827, decode.acc_seg: 92.4052, loss: 0.1827 +2023-03-04 04:23:22,757 - mmseg - INFO - per class results: +2023-03-04 04:23:22,766 - mmseg - INFO - ++---------------------+-------------------------------------------------------------------+ +| Class | IoU 0,10,20,30,40,50,60,70,80,90,99 | ++---------------------+-------------------------------------------------------------------+ +| background | nan,nan,nan,nan,nan,nan,nan,nan,nan,nan,nan | +| wall | 77.35,77.35,77.36,77.36,77.36,77.37,77.38,77.39,77.4,77.4,77.4 | +| building | 81.55,81.56,81.56,81.55,81.56,81.57,81.57,81.58,81.59,81.6,81.61 | +| sky | 94.44,94.43,94.44,94.44,94.44,94.44,94.44,94.45,94.45,94.46,94.46 | +| floor | 81.7,81.69,81.69,81.69,81.71,81.69,81.72,81.72,81.73,81.74,81.76 | +| tree | 74.26,74.25,74.24,74.25,74.25,74.25,74.26,74.27,74.3,74.3,74.3 | +| ceiling | 85.39,85.38,85.4,85.39,85.4,85.41,85.42,85.45,85.48,85.51,85.53 | +| road | 81.99,82.0,81.99,81.98,81.98,81.99,81.97,81.96,81.97,81.94,81.91 | +| bed | 87.88,87.9,87.88,87.89,87.89,87.88,87.9,87.89,87.94,87.97,88.0 | +| windowpane | 60.41,60.39,60.41,60.39,60.39,60.38,60.37,60.39,60.38,60.35,60.33 | +| grass | 67.0,67.01,67.01,67.0,67.03,66.99,67.03,67.04,67.06,67.08,67.11 | +| cabinet | 61.4,61.41,61.43,61.42,61.45,61.49,61.58,61.7,61.92,62.08,62.2 | +| sidewalk | 64.18,64.16,64.15,64.15,64.15,64.14,64.12,64.14,64.15,64.1,64.05 | +| person | 79.58,79.57,79.58,79.57,79.58,79.56,79.58,79.58,79.59,79.59,79.57 | +| earth | 35.31,35.3,35.39,35.32,35.34,35.37,35.35,35.38,35.33,35.37,35.48 | +| door | 45.53,45.55,45.57,45.54,45.59,45.54,45.57,45.6,45.59,45.55,45.56 | +| table | 60.75,60.73,60.77,60.76,60.77,60.79,60.77,60.84,60.92,60.97,60.94 | +| mountain | 57.11,57.1,57.1,57.08,57.11,57.12,57.14,57.04,57.01,57.06,57.13 | +| plant | 49.99,49.99,49.99,49.99,50.0,49.94,49.93,49.87,49.84,49.7,49.62 | +| curtain | 74.51,74.53,74.55,74.53,74.52,74.52,74.66,74.65,74.7,74.75,74.77 | +| chair | 56.34,56.37,56.38,56.34,56.37,56.4,56.4,56.45,56.46,56.47,56.48 | +| car | 81.64,81.68,81.64,81.67,81.66,81.67,81.7,81.73,81.77,81.82,81.89 | +| water | 57.42,57.41,57.42,57.41,57.42,57.43,57.45,57.47,57.47,57.5,57.51 | +| painting | 70.13,70.16,70.2,70.21,70.18,70.18,70.13,70.15,70.12,70.1,70.04 | +| sofa | 64.2,64.16,64.15,64.18,64.17,64.22,64.27,64.32,64.4,64.51,64.54 | +| shelf | 44.29,44.31,44.32,44.26,44.29,44.28,44.3,44.33,44.3,44.35,44.28 | +| house | 41.33,41.4,41.32,41.28,41.34,41.35,41.36,41.42,41.48,41.45,41.39 | +| sea | 60.43,60.4,60.45,60.4,60.42,60.44,60.44,60.48,60.48,60.55,60.53 | +| mirror | 66.11,66.09,66.11,66.09,66.13,66.12,66.2,66.29,66.47,66.57,66.66 | +| rug | 65.53,65.49,65.49,65.55,65.59,65.51,65.58,65.55,65.61,65.6,65.77 | +| field | 30.81,30.8,30.88,30.83,30.85,30.87,30.84,30.83,30.81,30.83,30.81 | +| armchair | 37.71,37.67,37.69,37.71,37.7,37.79,37.79,37.88,37.95,38.16,38.25 | +| seat | 66.89,66.9,66.86,66.88,66.84,66.92,66.92,67.03,67.06,67.18,67.26 | +| fence | 40.64,40.69,40.67,40.63,40.66,40.68,40.65,40.72,40.74,40.74,40.78 | +| desk | 46.64,46.61,46.61,46.64,46.6,46.71,46.77,46.92,47.06,47.19,47.27 | +| rock | 36.74,36.74,36.73,36.74,36.73,36.72,36.73,36.71,36.7,36.67,36.64 | +| wardrobe | 57.47,57.45,57.47,57.45,57.53,57.54,57.57,57.72,57.76,57.85,57.88 | +| lamp | 61.25,61.23,61.23,61.25,61.26,61.26,61.25,61.29,61.28,61.3,61.25 | +| bathtub | 77.05,77.08,77.06,77.04,77.07,77.06,77.1,77.17,77.3,77.57,77.54 | +| railing | 34.06,34.03,34.05,34.04,34.02,34.08,34.09,34.03,34.02,34.0,34.01 | +| cushion | 56.93,56.79,56.86,56.89,56.95,56.91,56.91,56.96,56.84,56.86,56.79 | +| base | 21.16,21.19,21.22,21.2,21.21,21.22,21.22,21.22,21.27,21.26,21.21 | +| box | 23.53,23.53,23.53,23.56,23.53,23.54,23.57,23.56,23.59,23.59,23.62 | +| column | 46.4,46.37,46.39,46.39,46.43,46.4,46.42,46.43,46.41,46.29,46.25 | +| signboard | 37.68,37.68,37.62,37.61,37.65,37.71,37.72,37.74,37.79,37.7,37.71 | +| chest of drawers | 36.07,36.07,36.09,36.03,36.1,36.16,36.25,36.32,36.48,36.58,36.49 | +| counter | 29.64,29.6,29.62,29.61,29.63,29.67,29.66,29.7,29.79,29.89,29.93 | +| sand | 41.9,41.89,41.92,41.94,41.94,41.93,41.96,41.99,42.1,42.11,42.16 | +| sink | 67.75,67.77,67.75,67.81,67.75,67.81,67.81,67.75,67.76,67.76,67.75 | +| skyscraper | 48.92,48.95,48.87,48.9,48.88,48.88,48.88,48.69,48.71,48.62,48.34 | +| fireplace | 75.64,75.67,75.7,75.63,75.7,75.76,75.73,75.84,75.98,76.16,76.31 | +| refrigerator | 74.77,74.65,74.8,74.72,74.79,74.84,74.88,75.05,75.2,75.34,75.48 | +| grandstand | 52.38,52.51,52.57,52.58,52.62,52.52,52.49,52.68,52.78,53.02,53.2 | +| path | 22.58,22.59,22.57,22.57,22.59,22.56,22.57,22.57,22.54,22.55,22.46 | +| stairs | 31.34,31.38,31.35,31.39,31.3,31.36,31.35,31.34,31.36,31.39,31.51 | +| runway | 67.22,67.26,67.2,67.19,67.25,67.28,67.29,67.32,67.44,67.64,67.69 | +| case | 48.6,48.61,48.58,48.6,48.6,48.56,48.56,48.46,48.53,48.51,48.31 | +| pool table | 91.99,92.01,92.01,91.99,92.0,92.01,92.01,91.99,92.02,92.04,92.06 | +| pillow | 60.66,60.4,60.6,60.67,60.68,60.65,60.7,60.77,60.67,60.78,60.78 | +| screen door | 68.91,69.01,69.02,69.02,68.88,68.96,69.02,69.08,68.99,68.92,68.9 | +| stairway | 23.52,23.55,23.55,23.55,23.51,23.56,23.55,23.55,23.51,23.49,23.49 | +| river | 11.81,11.82,11.81,11.81,11.81,11.81,11.8,11.8,11.8,11.78,11.76 | +| bridge | 31.88,31.87,31.79,31.78,31.86,31.84,31.9,31.87,31.95,32.05,32.09 | +| bookcase | 46.0,45.98,45.99,45.95,45.95,45.96,45.99,46.04,45.97,46.09,45.94 | +| blind | 38.94,39.02,38.87,38.91,38.94,38.92,38.88,38.89,38.93,39.03,38.81 | +| coffee table | 53.08,53.08,53.05,53.08,53.04,53.04,53.03,53.06,53.21,53.27,53.35 | +| toilet | 83.88,83.77,83.79,83.88,83.83,83.87,83.88,83.8,83.86,83.88,83.98 | +| flower | 38.48,38.59,38.52,38.53,38.53,38.52,38.63,38.58,38.61,38.62,38.63 | +| book | 44.83,44.83,44.84,44.84,44.87,44.85,44.85,44.78,44.88,44.83,44.85 | +| hill | 14.89,14.87,15.02,14.9,14.98,14.98,14.98,15.11,15.23,15.41,15.74 | +| bench | 42.93,42.88,42.88,42.89,42.8,42.91,42.83,42.9,42.75,42.7,42.56 | +| countertop | 54.93,54.89,54.89,54.96,54.9,54.86,54.78,54.7,54.57,54.63,54.66 | +| stove | 70.99,70.98,70.88,70.94,70.94,70.96,70.92,70.81,70.68,70.52,70.58 | +| palm | 47.63,47.71,47.7,47.72,47.68,47.64,47.64,47.59,47.62,47.57,47.48 | +| kitchen island | 44.36,44.39,44.42,44.32,44.39,44.47,44.41,44.37,44.52,44.42,44.61 | +| computer | 60.72,60.76,60.76,60.75,60.8,60.76,60.83,60.87,60.88,60.89,60.93 | +| swivel chair | 44.27,44.34,44.3,44.31,44.32,44.23,44.35,44.4,44.43,44.52,44.65 | +| boat | 72.76,72.82,72.79,72.95,72.81,72.79,72.96,72.88,72.99,72.95,73.01 | +| bar | 23.78,23.7,23.71,23.76,23.74,23.75,23.76,23.75,23.78,23.76,23.8 | +| arcade machine | 68.31,68.24,68.49,68.38,68.39,68.4,68.35,68.26,68.4,68.39,68.37 | +| hovel | 32.08,32.1,32.2,32.12,32.25,32.15,32.14,32.22,32.13,32.11,31.95 | +| bus | 79.04,79.07,79.05,79.08,79.05,79.04,78.99,79.0,78.99,78.81,78.8 | +| towel | 63.01,63.0,62.94,62.92,62.95,62.94,62.9,62.86,62.77,62.74,62.69 | +| light | 55.38,55.42,55.37,55.4,55.36,55.44,55.43,55.45,55.46,55.41,55.38 | +| truck | 18.37,18.35,18.47,18.42,18.36,18.32,18.44,18.43,18.49,18.54,18.55 | +| tower | 8.55,8.52,8.49,8.5,8.5,8.53,8.53,8.53,8.59,8.57,8.64 | +| chandelier | 63.56,63.58,63.56,63.52,63.58,63.57,63.59,63.58,63.64,63.62,63.53 | +| awning | 24.42,24.42,24.47,24.4,24.54,24.52,24.55,24.66,24.62,24.8,24.8 | +| streetlight | 26.78,26.76,26.92,26.83,26.83,26.97,26.92,27.08,27.05,27.13,27.19 | +| booth | 45.71,45.79,45.72,45.76,45.93,45.84,45.82,46.32,46.53,47.06,47.38 | +| television receiver | 63.87,63.85,63.85,63.8,63.87,63.92,63.87,63.87,64.02,64.01,64.08 | +| airplane | 60.14,60.16,60.06,60.07,60.07,60.09,60.08,60.08,60.04,60.07,60.08 | +| dirt track | 19.59,19.58,19.79,19.61,19.7,19.77,19.77,19.91,19.84,19.99,20.04 | +| apparel | 35.68,35.62,35.65,35.61,35.59,35.64,35.7,35.76,35.97,35.97,35.88 | +| pole | 19.13,19.25,19.22,19.19,19.31,19.26,19.1,19.08,19.02,18.83,18.55 | +| land | 3.88,3.87,3.86,3.88,3.89,3.86,3.89,3.9,3.9,3.87,3.91 | +| bannister | 12.02,12.0,12.03,12.1,12.01,12.01,12.15,12.26,12.31,12.38,12.58 | +| escalator | 24.05,24.07,24.03,24.02,24.08,24.07,24.09,24.14,24.22,24.24,24.32 | +| ottoman | 43.71,43.75,43.81,43.75,43.79,43.72,43.72,43.69,43.59,43.63,43.88 | +| bottle | 34.78,34.82,34.91,34.8,34.83,34.85,34.78,34.84,34.76,34.78,34.73 | +| buffet | 41.27,41.2,40.87,41.3,41.55,41.27,42.15,42.71,43.53,44.33,45.15 | +| poster | 23.16,23.23,23.32,23.2,23.2,23.24,23.18,23.26,23.16,23.13,23.1 | +| stage | 14.21,14.22,14.1,14.16,14.21,14.15,14.17,14.17,14.17,14.31,14.25 | +| van | 38.92,38.86,38.87,39.0,39.0,38.99,38.98,38.99,38.97,39.06,39.16 | +| ship | 81.29,81.59,81.54,81.57,81.69,81.67,82.1,82.5,82.83,83.09,83.34 | +| fountain | 20.41,20.49,20.51,20.49,20.5,20.6,20.89,20.95,21.15,21.27,21.55 | +| conveyer belt | 84.73,84.88,84.79,84.74,84.84,84.82,84.84,84.9,84.81,84.78,84.76 | +| canopy | 22.47,22.59,22.62,22.54,22.62,22.74,22.7,22.9,23.06,23.21,23.47 | +| washer | 74.98,75.05,75.2,75.15,75.28,75.18,75.11,75.14,75.04,75.13,75.17 | +| plaything | 20.19,20.2,20.19,20.21,20.16,20.17,20.16,20.08,19.99,19.87,19.81 | +| swimming pool | 74.33,74.35,74.35,74.61,74.5,74.53,74.63,74.93,75.38,75.94,75.86 | +| stool | 43.94,44.01,44.1,44.02,44.06,44.04,44.08,44.14,44.11,44.13,44.07 | +| barrel | 42.15,41.38,41.4,42.08,41.68,40.93,41.3,40.98,40.87,40.28,40.03 | +| basket | 23.56,23.62,23.49,23.6,23.57,23.57,23.54,23.54,23.49,23.51,23.51 | +| waterfall | 50.14,50.22,50.26,50.25,50.24,50.22,50.3,50.29,50.34,50.41,50.43 | +| tent | 94.97,94.97,94.98,95.01,94.96,94.96,94.95,94.96,95.05,94.99,95.05 | +| bag | 15.95,15.82,15.84,15.91,15.92,15.93,15.87,15.79,15.67,15.55,15.7 | +| minibike | 62.8,62.8,62.89,62.9,62.86,62.88,62.91,62.78,62.63,62.41,62.35 | +| cradle | 84.61,84.51,84.5,84.54,84.43,84.6,84.61,84.7,84.8,84.95,85.12 | +| oven | 49.9,49.85,49.92,49.93,49.97,50.12,50.01,49.93,49.85,49.75,49.75 | +| ball | 45.02,45.01,44.92,45.02,45.05,45.01,45.03,45.08,45.07,45.04,45.07 | +| food | 53.84,53.79,53.88,53.87,53.96,53.9,54.02,53.98,54.19,54.33,54.41 | +| step | 7.11,7.1,7.13,7.1,7.21,7.16,7.13,7.11,7.4,7.12,7.24 | +| tank | 49.85,49.81,49.88,49.86,49.9,49.85,49.85,49.82,49.81,49.82,49.88 | +| trade name | 27.11,27.27,27.23,27.19,27.21,27.26,27.38,27.27,27.3,27.34,27.32 | +| microwave | 74.14,74.05,74.2,74.09,74.18,74.19,74.12,74.2,74.16,74.3,74.41 | +| pot | 30.03,30.11,30.06,30.15,30.09,30.1,30.16,30.23,30.2,30.27,30.31 | +| animal | 54.61,54.57,54.52,54.54,54.51,54.54,54.49,54.53,54.49,54.43,54.24 | +| bicycle | 54.08,54.0,53.99,54.01,53.94,54.09,54.01,54.25,54.17,54.33,54.38 | +| lake | 57.07,57.08,57.09,57.08,57.08,57.07,57.08,57.05,57.05,57.01,57.03 | +| dishwasher | 63.43,63.67,63.49,63.44,63.37,63.26,63.6,63.42,63.4,63.34,63.32 | +| screen | 66.55,66.54,66.67,66.51,66.41,66.35,66.1,66.09,65.77,65.6,65.02 | +| blanket | 17.81,17.76,17.69,17.79,17.68,17.74,17.67,17.73,17.69,17.6,17.57 | +| sculpture | 57.4,57.44,57.64,57.45,57.66,57.48,57.43,57.42,57.4,57.04,56.98 | +| hood | 56.87,56.96,56.81,56.76,56.7,56.53,56.46,56.11,55.75,55.33,54.9 | +| sconce | 41.6,41.71,41.64,41.59,41.66,41.72,41.91,41.91,42.15,42.24,42.48 | +| vase | 36.97,36.97,37.09,36.96,36.94,36.99,37.06,37.27,37.22,37.3,37.43 | +| traffic light | 33.08,33.1,33.14,33.1,33.14,33.06,33.17,33.18,33.24,33.23,33.32 | +| tray | 7.82,7.8,7.79,7.81,7.73,7.78,7.77,7.77,7.79,7.69,7.91 | +| ashcan | 40.61,40.68,40.68,40.65,40.62,40.6,40.68,40.67,40.69,40.71,40.59 | +| fan | 58.09,58.03,58.01,58.01,58.06,58.02,58.02,57.98,58.14,58.22,58.24 | +| pier | 52.79,52.85,52.72,52.53,53.09,52.82,53.1,53.15,53.59,53.95,54.32 | +| crt screen | 10.02,9.96,9.99,10.0,10.03,10.04,10.04,10.12,10.09,10.18,10.26 | +| plate | 52.45,52.38,52.39,52.44,52.45,52.51,52.61,52.65,52.74,53.12,53.21 | +| monitor | 19.0,19.09,19.2,19.19,19.07,19.17,18.98,19.22,19.16,18.98,19.23 | +| bulletin board | 36.41,36.51,36.45,36.36,36.41,36.47,36.47,36.51,36.58,36.63,36.81 | +| shower | 1.77,1.76,1.78,1.73,1.77,1.73,1.79,1.73,1.73,1.64,1.73 | +| radiator | 59.77,59.87,60.12,59.64,59.98,60.13,60.42,60.72,61.34,62.05,62.65 | +| glass | 13.37,13.43,13.39,13.46,13.47,13.46,13.45,13.55,13.54,13.59,13.68 | +| clock | 34.62,34.29,34.46,34.42,34.29,34.34,34.32,34.44,34.5,34.72,34.49 | +| flag | 34.31,34.27,34.13,34.2,34.07,34.2,34.12,34.06,33.91,33.91,33.69 | ++---------------------+-------------------------------------------------------------------+ +2023-03-04 04:23:22,766 - mmseg - INFO - Summary: +2023-03-04 04:23:22,766 - mmseg - INFO - ++------------------------------------------------------------------+ +| mIoU 0,10,20,30,40,50,60,70,80,90,99 | ++------------------------------------------------------------------+ +| 48.56,48.56,48.57,48.57,48.58,48.58,48.61,48.64,48.67,48.7,48.73 | ++------------------------------------------------------------------+ +2023-03-04 04:23:22,799 - mmseg - INFO - The previous best checkpoint /mnt/petrelfs/laizeqiang/mmseg-baseline/work_dirs2/ablation_segformer_mit_b2_segformer_head_unet_fc_small_multi_step_ade_pretrained_freeze_embed_160k_ade20k151_finetune_ema_cos/best_mIoU_iter_32000.pth was removed +2023-03-04 04:23:23,745 - mmseg - INFO - Now best checkpoint is saved as best_mIoU_iter_48000.pth. +2023-03-04 04:23:23,746 - mmseg - INFO - Best mIoU is 0.4873 at 48000 iter. +2023-03-04 04:23:23,746 - mmseg - INFO - Exp name: ablation_segformer_mit_b2_segformer_head_unet_fc_small_multi_step_ade_pretrained_freeze_embed_160k_ade20k151_finetune_ema_cos.py +2023-03-04 04:23:23,746 - mmseg - INFO - Iter(val) [250] mIoU: [0.4856, 0.4856, 0.4857, 0.4857, 0.4858, 0.4858, 0.4861, 0.4864, 0.4867, 0.487, 0.4873], copy_paste: 48.56,48.56,48.57,48.57,48.58,48.58,48.61,48.64,48.67,48.7,48.73 +2023-03-04 04:23:23,752 - mmseg - INFO - Swap parameters (before train) before iter [48001] +2023-03-04 04:23:33,838 - mmseg - INFO - Iter [48050/160000] lr: 3.750e-05, eta: 7:31:45, time: 13.146, data_time: 12.952, memory: 52540, decode.loss_ce: 0.1916, decode.acc_seg: 92.1999, loss: 0.1916 +2023-03-04 04:23:44,028 - mmseg - INFO - Iter [48100/160000] lr: 3.750e-05, eta: 7:31:28, time: 0.204, data_time: 0.007, memory: 52540, decode.loss_ce: 0.2007, decode.acc_seg: 91.7553, loss: 0.2007 +2023-03-04 04:23:53,671 - mmseg - INFO - Iter [48150/160000] lr: 3.750e-05, eta: 7:31:10, time: 0.193, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1869, decode.acc_seg: 92.3805, loss: 0.1869 +2023-03-04 04:24:03,277 - mmseg - INFO - Iter [48200/160000] lr: 3.750e-05, eta: 7:30:53, time: 0.192, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1908, decode.acc_seg: 92.1826, loss: 0.1908 +2023-03-04 04:24:13,039 - mmseg - INFO - Iter [48250/160000] lr: 3.750e-05, eta: 7:30:35, time: 0.195, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1938, decode.acc_seg: 92.0587, loss: 0.1938 +2023-03-04 04:24:22,658 - mmseg - INFO - Iter [48300/160000] lr: 3.750e-05, eta: 7:30:17, time: 0.192, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1836, decode.acc_seg: 92.4192, loss: 0.1836 +2023-03-04 04:24:32,282 - mmseg - INFO - Iter [48350/160000] lr: 3.750e-05, eta: 7:29:59, time: 0.192, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1946, decode.acc_seg: 91.9275, loss: 0.1946 +2023-03-04 04:24:41,916 - mmseg - INFO - Iter [48400/160000] lr: 3.750e-05, eta: 7:29:42, time: 0.192, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1999, decode.acc_seg: 91.7847, loss: 0.1999 +2023-03-04 04:24:51,430 - mmseg - INFO - Iter [48450/160000] lr: 3.750e-05, eta: 7:29:24, time: 0.191, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1949, decode.acc_seg: 92.0472, loss: 0.1949 +2023-03-04 04:25:01,296 - mmseg - INFO - Iter [48500/160000] lr: 3.750e-05, eta: 7:29:06, time: 0.197, data_time: 0.007, memory: 52540, decode.loss_ce: 0.2016, decode.acc_seg: 91.5675, loss: 0.2016 +2023-03-04 04:25:11,198 - mmseg - INFO - Iter [48550/160000] lr: 3.750e-05, eta: 7:28:49, time: 0.198, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1988, decode.acc_seg: 91.9158, loss: 0.1988 +2023-03-04 04:25:23,340 - mmseg - INFO - Iter [48600/160000] lr: 3.750e-05, eta: 7:28:37, time: 0.243, data_time: 0.056, memory: 52540, decode.loss_ce: 0.1846, decode.acc_seg: 92.2401, loss: 0.1846 +2023-03-04 04:25:33,396 - mmseg - INFO - Iter [48650/160000] lr: 3.750e-05, eta: 7:28:21, time: 0.201, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1967, decode.acc_seg: 91.7876, loss: 0.1967 +2023-03-04 04:25:43,117 - mmseg - INFO - Iter [48700/160000] lr: 3.750e-05, eta: 7:28:03, time: 0.195, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1947, decode.acc_seg: 92.0121, loss: 0.1947 +2023-03-04 04:25:52,844 - mmseg - INFO - Iter [48750/160000] lr: 3.750e-05, eta: 7:27:46, time: 0.194, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1929, decode.acc_seg: 92.0009, loss: 0.1929 +2023-03-04 04:26:03,189 - mmseg - INFO - Iter [48800/160000] lr: 3.750e-05, eta: 7:27:30, time: 0.207, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1956, decode.acc_seg: 92.1826, loss: 0.1956 +2023-03-04 04:26:13,300 - mmseg - INFO - Iter [48850/160000] lr: 3.750e-05, eta: 7:27:13, time: 0.202, data_time: 0.007, memory: 52540, decode.loss_ce: 0.2024, decode.acc_seg: 91.8304, loss: 0.2024 +2023-03-04 04:26:22,905 - mmseg - INFO - Iter [48900/160000] lr: 3.750e-05, eta: 7:26:56, time: 0.192, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1924, decode.acc_seg: 92.0638, loss: 0.1924 +2023-03-04 04:26:32,529 - mmseg - INFO - Iter [48950/160000] lr: 3.750e-05, eta: 7:26:38, time: 0.192, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1959, decode.acc_seg: 92.0189, loss: 0.1959 +2023-03-04 04:26:42,206 - mmseg - INFO - Exp name: ablation_segformer_mit_b2_segformer_head_unet_fc_small_multi_step_ade_pretrained_freeze_embed_160k_ade20k151_finetune_ema_cos.py +2023-03-04 04:26:42,207 - mmseg - INFO - Iter [49000/160000] lr: 3.750e-05, eta: 7:26:20, time: 0.194, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1920, decode.acc_seg: 92.1876, loss: 0.1920 +2023-03-04 04:26:51,820 - mmseg - INFO - Iter [49050/160000] lr: 3.750e-05, eta: 7:26:03, time: 0.192, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1920, decode.acc_seg: 92.0885, loss: 0.1920 +2023-03-04 04:27:01,615 - mmseg - INFO - Iter [49100/160000] lr: 3.750e-05, eta: 7:25:46, time: 0.196, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1916, decode.acc_seg: 92.0888, loss: 0.1916 +2023-03-04 04:27:11,181 - mmseg - INFO - Iter [49150/160000] lr: 3.750e-05, eta: 7:25:28, time: 0.191, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1913, decode.acc_seg: 92.0554, loss: 0.1913 +2023-03-04 04:27:21,006 - mmseg - INFO - Iter [49200/160000] lr: 3.750e-05, eta: 7:25:11, time: 0.196, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1995, decode.acc_seg: 91.9072, loss: 0.1995 +2023-03-04 04:27:33,150 - mmseg - INFO - Iter [49250/160000] lr: 3.750e-05, eta: 7:24:59, time: 0.243, data_time: 0.054, memory: 52540, decode.loss_ce: 0.1978, decode.acc_seg: 92.1443, loss: 0.1978 +2023-03-04 04:27:42,858 - mmseg - INFO - Iter [49300/160000] lr: 3.750e-05, eta: 7:24:42, time: 0.194, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1891, decode.acc_seg: 91.9821, loss: 0.1891 +2023-03-04 04:27:52,553 - mmseg - INFO - Iter [49350/160000] lr: 3.750e-05, eta: 7:24:24, time: 0.194, data_time: 0.007, memory: 52540, decode.loss_ce: 0.2083, decode.acc_seg: 91.5697, loss: 0.2083 +2023-03-04 04:28:02,191 - mmseg - INFO - Iter [49400/160000] lr: 3.750e-05, eta: 7:24:07, time: 0.193, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1940, decode.acc_seg: 92.0395, loss: 0.1940 +2023-03-04 04:28:11,809 - mmseg - INFO - Iter [49450/160000] lr: 3.750e-05, eta: 7:23:50, time: 0.192, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1906, decode.acc_seg: 92.2893, loss: 0.1906 +2023-03-04 04:28:21,312 - mmseg - INFO - Iter [49500/160000] lr: 3.750e-05, eta: 7:23:32, time: 0.190, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1916, decode.acc_seg: 92.1596, loss: 0.1916 +2023-03-04 04:28:31,197 - mmseg - INFO - Iter [49550/160000] lr: 3.750e-05, eta: 7:23:15, time: 0.198, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1961, decode.acc_seg: 92.0461, loss: 0.1961 +2023-03-04 04:28:40,763 - mmseg - INFO - Iter [49600/160000] lr: 3.750e-05, eta: 7:22:57, time: 0.191, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1929, decode.acc_seg: 92.0895, loss: 0.1929 +2023-03-04 04:28:50,528 - mmseg - INFO - Iter [49650/160000] lr: 3.750e-05, eta: 7:22:40, time: 0.195, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1925, decode.acc_seg: 92.2246, loss: 0.1925 +2023-03-04 04:29:00,137 - mmseg - INFO - Iter [49700/160000] lr: 3.750e-05, eta: 7:22:23, time: 0.192, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1926, decode.acc_seg: 92.0259, loss: 0.1926 +2023-03-04 04:29:09,730 - mmseg - INFO - Iter [49750/160000] lr: 3.750e-05, eta: 7:22:05, time: 0.192, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1923, decode.acc_seg: 92.2336, loss: 0.1923 +2023-03-04 04:29:19,452 - mmseg - INFO - Iter [49800/160000] lr: 3.750e-05, eta: 7:21:48, time: 0.194, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1976, decode.acc_seg: 92.0229, loss: 0.1976 +2023-03-04 04:29:31,684 - mmseg - INFO - Iter [49850/160000] lr: 3.750e-05, eta: 7:21:37, time: 0.245, data_time: 0.055, memory: 52540, decode.loss_ce: 0.1891, decode.acc_seg: 92.1665, loss: 0.1891 +2023-03-04 04:29:41,472 - mmseg - INFO - Iter [49900/160000] lr: 3.750e-05, eta: 7:21:20, time: 0.196, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1970, decode.acc_seg: 92.0304, loss: 0.1970 +2023-03-04 04:29:50,970 - mmseg - INFO - Iter [49950/160000] lr: 3.750e-05, eta: 7:21:02, time: 0.190, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1919, decode.acc_seg: 92.0209, loss: 0.1919 +2023-03-04 04:30:00,875 - mmseg - INFO - Exp name: ablation_segformer_mit_b2_segformer_head_unet_fc_small_multi_step_ade_pretrained_freeze_embed_160k_ade20k151_finetune_ema_cos.py +2023-03-04 04:30:00,875 - mmseg - INFO - Iter [50000/160000] lr: 3.750e-05, eta: 7:20:45, time: 0.198, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1907, decode.acc_seg: 92.1223, loss: 0.1907 +2023-03-04 04:30:10,542 - mmseg - INFO - Iter [50050/160000] lr: 3.750e-05, eta: 7:20:28, time: 0.193, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1887, decode.acc_seg: 92.1852, loss: 0.1887 +2023-03-04 04:30:20,084 - mmseg - INFO - Iter [50100/160000] lr: 3.750e-05, eta: 7:20:11, time: 0.191, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1924, decode.acc_seg: 92.1097, loss: 0.1924 +2023-03-04 04:30:29,619 - mmseg - INFO - Iter [50150/160000] lr: 3.750e-05, eta: 7:19:53, time: 0.191, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1977, decode.acc_seg: 91.8695, loss: 0.1977 +2023-03-04 04:30:39,277 - mmseg - INFO - Iter [50200/160000] lr: 3.750e-05, eta: 7:19:36, time: 0.193, data_time: 0.007, memory: 52540, decode.loss_ce: 0.2005, decode.acc_seg: 91.8017, loss: 0.2005 +2023-03-04 04:30:49,261 - mmseg - INFO - Iter [50250/160000] lr: 3.750e-05, eta: 7:19:20, time: 0.200, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1883, decode.acc_seg: 92.2931, loss: 0.1883 +2023-03-04 04:30:58,824 - mmseg - INFO - Iter [50300/160000] lr: 3.750e-05, eta: 7:19:02, time: 0.191, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1912, decode.acc_seg: 91.9525, loss: 0.1912 +2023-03-04 04:31:08,489 - mmseg - INFO - Iter [50350/160000] lr: 3.750e-05, eta: 7:18:45, time: 0.193, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1918, decode.acc_seg: 92.0511, loss: 0.1918 +2023-03-04 04:31:18,145 - mmseg - INFO - Iter [50400/160000] lr: 3.750e-05, eta: 7:18:28, time: 0.193, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1935, decode.acc_seg: 92.0457, loss: 0.1935 +2023-03-04 04:31:27,660 - mmseg - INFO - Iter [50450/160000] lr: 3.750e-05, eta: 7:18:11, time: 0.190, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1923, decode.acc_seg: 92.0939, loss: 0.1923 +2023-03-04 04:31:39,736 - mmseg - INFO - Iter [50500/160000] lr: 3.750e-05, eta: 7:17:59, time: 0.242, data_time: 0.053, memory: 52540, decode.loss_ce: 0.1895, decode.acc_seg: 92.3953, loss: 0.1895 +2023-03-04 04:31:49,440 - mmseg - INFO - Iter [50550/160000] lr: 3.750e-05, eta: 7:17:42, time: 0.194, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1873, decode.acc_seg: 92.3195, loss: 0.1873 +2023-03-04 04:31:59,194 - mmseg - INFO - Iter [50600/160000] lr: 3.750e-05, eta: 7:17:25, time: 0.195, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1911, decode.acc_seg: 92.1022, loss: 0.1911 +2023-03-04 04:32:08,709 - mmseg - INFO - Iter [50650/160000] lr: 3.750e-05, eta: 7:17:08, time: 0.190, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1985, decode.acc_seg: 91.8190, loss: 0.1985 +2023-03-04 04:32:18,253 - mmseg - INFO - Iter [50700/160000] lr: 3.750e-05, eta: 7:16:51, time: 0.191, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1925, decode.acc_seg: 91.9588, loss: 0.1925 +2023-03-04 04:32:27,888 - mmseg - INFO - Iter [50750/160000] lr: 3.750e-05, eta: 7:16:33, time: 0.193, data_time: 0.007, memory: 52540, decode.loss_ce: 0.2014, decode.acc_seg: 91.8821, loss: 0.2014 +2023-03-04 04:32:37,612 - mmseg - INFO - Iter [50800/160000] lr: 3.750e-05, eta: 7:16:17, time: 0.194, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1910, decode.acc_seg: 92.1553, loss: 0.1910 +2023-03-04 04:32:47,270 - mmseg - INFO - Iter [50850/160000] lr: 3.750e-05, eta: 7:16:00, time: 0.193, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1951, decode.acc_seg: 92.1119, loss: 0.1951 +2023-03-04 04:32:56,875 - mmseg - INFO - Iter [50900/160000] lr: 3.750e-05, eta: 7:15:43, time: 0.192, data_time: 0.007, memory: 52540, decode.loss_ce: 0.2011, decode.acc_seg: 91.6851, loss: 0.2011 +2023-03-04 04:33:06,565 - mmseg - INFO - Iter [50950/160000] lr: 3.750e-05, eta: 7:15:26, time: 0.194, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1933, decode.acc_seg: 92.0675, loss: 0.1933 +2023-03-04 04:33:16,196 - mmseg - INFO - Exp name: ablation_segformer_mit_b2_segformer_head_unet_fc_small_multi_step_ade_pretrained_freeze_embed_160k_ade20k151_finetune_ema_cos.py +2023-03-04 04:33:16,196 - mmseg - INFO - Iter [51000/160000] lr: 3.750e-05, eta: 7:15:09, time: 0.193, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1973, decode.acc_seg: 91.8752, loss: 0.1973 +2023-03-04 04:33:25,734 - mmseg - INFO - Iter [51050/160000] lr: 3.750e-05, eta: 7:14:51, time: 0.191, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1871, decode.acc_seg: 92.4397, loss: 0.1871 +2023-03-04 04:33:35,435 - mmseg - INFO - Iter [51100/160000] lr: 3.750e-05, eta: 7:14:35, time: 0.194, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1896, decode.acc_seg: 92.1239, loss: 0.1896 +2023-03-04 04:33:48,225 - mmseg - INFO - Iter [51150/160000] lr: 3.750e-05, eta: 7:14:24, time: 0.256, data_time: 0.055, memory: 52540, decode.loss_ce: 0.1941, decode.acc_seg: 91.9858, loss: 0.1941 +2023-03-04 04:33:57,889 - mmseg - INFO - Iter [51200/160000] lr: 3.750e-05, eta: 7:14:08, time: 0.193, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1956, decode.acc_seg: 91.9812, loss: 0.1956 +2023-03-04 04:34:07,586 - mmseg - INFO - Iter [51250/160000] lr: 3.750e-05, eta: 7:13:51, time: 0.194, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1959, decode.acc_seg: 91.9844, loss: 0.1959 +2023-03-04 04:34:17,332 - mmseg - INFO - Iter [51300/160000] lr: 3.750e-05, eta: 7:13:34, time: 0.195, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1977, decode.acc_seg: 92.0406, loss: 0.1977 +2023-03-04 04:34:26,890 - mmseg - INFO - Iter [51350/160000] lr: 3.750e-05, eta: 7:13:17, time: 0.191, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1958, decode.acc_seg: 91.8821, loss: 0.1958 +2023-03-04 04:34:36,471 - mmseg - INFO - Iter [51400/160000] lr: 3.750e-05, eta: 7:13:00, time: 0.192, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1930, decode.acc_seg: 92.0784, loss: 0.1930 +2023-03-04 04:34:46,297 - mmseg - INFO - Iter [51450/160000] lr: 3.750e-05, eta: 7:12:44, time: 0.197, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1906, decode.acc_seg: 92.0636, loss: 0.1906 +2023-03-04 04:34:55,826 - mmseg - INFO - Iter [51500/160000] lr: 3.750e-05, eta: 7:12:26, time: 0.191, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1883, decode.acc_seg: 92.0973, loss: 0.1883 +2023-03-04 04:35:05,525 - mmseg - INFO - Iter [51550/160000] lr: 3.750e-05, eta: 7:12:10, time: 0.194, data_time: 0.007, memory: 52540, decode.loss_ce: 0.2000, decode.acc_seg: 91.8492, loss: 0.2000 +2023-03-04 04:35:15,343 - mmseg - INFO - Iter [51600/160000] lr: 3.750e-05, eta: 7:11:53, time: 0.196, data_time: 0.007, memory: 52540, decode.loss_ce: 0.2042, decode.acc_seg: 91.8022, loss: 0.2042 +2023-03-04 04:35:25,381 - mmseg - INFO - Iter [51650/160000] lr: 3.750e-05, eta: 7:11:37, time: 0.201, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1962, decode.acc_seg: 91.9828, loss: 0.1962 +2023-03-04 04:35:35,244 - mmseg - INFO - Iter [51700/160000] lr: 3.750e-05, eta: 7:11:21, time: 0.197, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1925, decode.acc_seg: 92.0697, loss: 0.1925 +2023-03-04 04:35:47,359 - mmseg - INFO - Iter [51750/160000] lr: 3.750e-05, eta: 7:11:09, time: 0.242, data_time: 0.052, memory: 52540, decode.loss_ce: 0.1939, decode.acc_seg: 92.1434, loss: 0.1939 +2023-03-04 04:35:57,361 - mmseg - INFO - Iter [51800/160000] lr: 3.750e-05, eta: 7:10:53, time: 0.200, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1905, decode.acc_seg: 92.1514, loss: 0.1905 +2023-03-04 04:36:07,420 - mmseg - INFO - Iter [51850/160000] lr: 3.750e-05, eta: 7:10:38, time: 0.201, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1995, decode.acc_seg: 91.7821, loss: 0.1995 +2023-03-04 04:36:17,056 - mmseg - INFO - Iter [51900/160000] lr: 3.750e-05, eta: 7:10:21, time: 0.193, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1924, decode.acc_seg: 92.1459, loss: 0.1924 +2023-03-04 04:36:26,641 - mmseg - INFO - Iter [51950/160000] lr: 3.750e-05, eta: 7:10:04, time: 0.192, data_time: 0.007, memory: 52540, decode.loss_ce: 0.2032, decode.acc_seg: 91.7896, loss: 0.2032 +2023-03-04 04:36:36,356 - mmseg - INFO - Exp name: ablation_segformer_mit_b2_segformer_head_unet_fc_small_multi_step_ade_pretrained_freeze_embed_160k_ade20k151_finetune_ema_cos.py +2023-03-04 04:36:36,357 - mmseg - INFO - Iter [52000/160000] lr: 3.750e-05, eta: 7:09:47, time: 0.194, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1984, decode.acc_seg: 91.9247, loss: 0.1984 +2023-03-04 04:36:45,972 - mmseg - INFO - Iter [52050/160000] lr: 3.750e-05, eta: 7:09:31, time: 0.193, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1945, decode.acc_seg: 92.0529, loss: 0.1945 +2023-03-04 04:36:55,495 - mmseg - INFO - Iter [52100/160000] lr: 3.750e-05, eta: 7:09:14, time: 0.190, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1991, decode.acc_seg: 91.7744, loss: 0.1991 +2023-03-04 04:37:05,045 - mmseg - INFO - Iter [52150/160000] lr: 3.750e-05, eta: 7:08:57, time: 0.191, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1813, decode.acc_seg: 92.4686, loss: 0.1813 +2023-03-04 04:37:14,804 - mmseg - INFO - Iter [52200/160000] lr: 3.750e-05, eta: 7:08:40, time: 0.195, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1914, decode.acc_seg: 92.1747, loss: 0.1914 +2023-03-04 04:37:24,563 - mmseg - INFO - Iter [52250/160000] lr: 3.750e-05, eta: 7:08:24, time: 0.195, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1822, decode.acc_seg: 92.5060, loss: 0.1822 +2023-03-04 04:37:34,266 - mmseg - INFO - Iter [52300/160000] lr: 3.750e-05, eta: 7:08:07, time: 0.194, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1928, decode.acc_seg: 92.1052, loss: 0.1928 +2023-03-04 04:37:43,861 - mmseg - INFO - Iter [52350/160000] lr: 3.750e-05, eta: 7:07:51, time: 0.192, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1917, decode.acc_seg: 92.0081, loss: 0.1917 +2023-03-04 04:37:56,031 - mmseg - INFO - Iter [52400/160000] lr: 3.750e-05, eta: 7:07:39, time: 0.243, data_time: 0.053, memory: 52540, decode.loss_ce: 0.1919, decode.acc_seg: 92.2156, loss: 0.1919 +2023-03-04 04:38:05,592 - mmseg - INFO - Iter [52450/160000] lr: 3.750e-05, eta: 7:07:23, time: 0.192, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1853, decode.acc_seg: 92.3520, loss: 0.1853 +2023-03-04 04:38:15,319 - mmseg - INFO - Iter [52500/160000] lr: 3.750e-05, eta: 7:07:06, time: 0.195, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1934, decode.acc_seg: 92.0496, loss: 0.1934 +2023-03-04 04:38:25,016 - mmseg - INFO - Iter [52550/160000] lr: 3.750e-05, eta: 7:06:50, time: 0.194, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1949, decode.acc_seg: 92.0958, loss: 0.1949 +2023-03-04 04:38:34,523 - mmseg - INFO - Iter [52600/160000] lr: 3.750e-05, eta: 7:06:33, time: 0.190, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1971, decode.acc_seg: 91.8945, loss: 0.1971 +2023-03-04 04:38:44,222 - mmseg - INFO - Iter [52650/160000] lr: 3.750e-05, eta: 7:06:16, time: 0.194, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1914, decode.acc_seg: 92.2910, loss: 0.1914 +2023-03-04 04:38:53,851 - mmseg - INFO - Iter [52700/160000] lr: 3.750e-05, eta: 7:06:00, time: 0.193, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1915, decode.acc_seg: 92.1524, loss: 0.1915 +2023-03-04 04:39:03,347 - mmseg - INFO - Iter [52750/160000] lr: 3.750e-05, eta: 7:05:43, time: 0.190, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1891, decode.acc_seg: 92.1567, loss: 0.1891 +2023-03-04 04:39:13,084 - mmseg - INFO - Iter [52800/160000] lr: 3.750e-05, eta: 7:05:27, time: 0.195, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1891, decode.acc_seg: 92.1535, loss: 0.1891 +2023-03-04 04:39:22,737 - mmseg - INFO - Iter [52850/160000] lr: 3.750e-05, eta: 7:05:10, time: 0.193, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1983, decode.acc_seg: 91.8866, loss: 0.1983 +2023-03-04 04:39:32,342 - mmseg - INFO - Iter [52900/160000] lr: 3.750e-05, eta: 7:04:54, time: 0.192, data_time: 0.007, memory: 52540, decode.loss_ce: 0.2000, decode.acc_seg: 91.7901, loss: 0.2000 +2023-03-04 04:39:41,988 - mmseg - INFO - Iter [52950/160000] lr: 3.750e-05, eta: 7:04:37, time: 0.193, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1918, decode.acc_seg: 92.2540, loss: 0.1918 +2023-03-04 04:39:51,771 - mmseg - INFO - Exp name: ablation_segformer_mit_b2_segformer_head_unet_fc_small_multi_step_ade_pretrained_freeze_embed_160k_ade20k151_finetune_ema_cos.py +2023-03-04 04:39:51,772 - mmseg - INFO - Iter [53000/160000] lr: 3.750e-05, eta: 7:04:21, time: 0.196, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1963, decode.acc_seg: 92.0271, loss: 0.1963 +2023-03-04 04:40:03,999 - mmseg - INFO - Iter [53050/160000] lr: 3.750e-05, eta: 7:04:10, time: 0.245, data_time: 0.055, memory: 52540, decode.loss_ce: 0.1893, decode.acc_seg: 92.3010, loss: 0.1893 +2023-03-04 04:40:13,940 - mmseg - INFO - Iter [53100/160000] lr: 3.750e-05, eta: 7:03:54, time: 0.199, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1951, decode.acc_seg: 92.0042, loss: 0.1951 +2023-03-04 04:40:23,566 - mmseg - INFO - Iter [53150/160000] lr: 3.750e-05, eta: 7:03:37, time: 0.192, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1960, decode.acc_seg: 91.9542, loss: 0.1960 +2023-03-04 04:40:33,290 - mmseg - INFO - Iter [53200/160000] lr: 3.750e-05, eta: 7:03:21, time: 0.195, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1984, decode.acc_seg: 91.9802, loss: 0.1984 +2023-03-04 04:40:43,157 - mmseg - INFO - Iter [53250/160000] lr: 3.750e-05, eta: 7:03:05, time: 0.198, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1979, decode.acc_seg: 91.9445, loss: 0.1979 +2023-03-04 04:40:52,740 - mmseg - INFO - Iter [53300/160000] lr: 3.750e-05, eta: 7:02:49, time: 0.192, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1968, decode.acc_seg: 92.0281, loss: 0.1968 +2023-03-04 04:41:02,456 - mmseg - INFO - Iter [53350/160000] lr: 3.750e-05, eta: 7:02:33, time: 0.194, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1904, decode.acc_seg: 92.1118, loss: 0.1904 +2023-03-04 04:41:12,516 - mmseg - INFO - Iter [53400/160000] lr: 3.750e-05, eta: 7:02:17, time: 0.201, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1979, decode.acc_seg: 91.8995, loss: 0.1979 +2023-03-04 04:41:22,243 - mmseg - INFO - Iter [53450/160000] lr: 3.750e-05, eta: 7:02:01, time: 0.195, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1966, decode.acc_seg: 91.8087, loss: 0.1966 +2023-03-04 04:41:31,943 - mmseg - INFO - Iter [53500/160000] lr: 3.750e-05, eta: 7:01:45, time: 0.194, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1908, decode.acc_seg: 92.1419, loss: 0.1908 +2023-03-04 04:41:41,436 - mmseg - INFO - Iter [53550/160000] lr: 3.750e-05, eta: 7:01:28, time: 0.190, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1917, decode.acc_seg: 92.1295, loss: 0.1917 +2023-03-04 04:41:51,254 - mmseg - INFO - Iter [53600/160000] lr: 3.750e-05, eta: 7:01:12, time: 0.196, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1969, decode.acc_seg: 92.0009, loss: 0.1969 +2023-03-04 04:42:03,614 - mmseg - INFO - Iter [53650/160000] lr: 3.750e-05, eta: 7:01:01, time: 0.247, data_time: 0.053, memory: 52540, decode.loss_ce: 0.1852, decode.acc_seg: 92.4099, loss: 0.1852 +2023-03-04 04:42:13,467 - mmseg - INFO - Iter [53700/160000] lr: 3.750e-05, eta: 7:00:45, time: 0.197, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1942, decode.acc_seg: 91.8796, loss: 0.1942 +2023-03-04 04:42:23,217 - mmseg - INFO - Iter [53750/160000] lr: 3.750e-05, eta: 7:00:29, time: 0.195, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1889, decode.acc_seg: 92.1056, loss: 0.1889 +2023-03-04 04:42:32,905 - mmseg - INFO - Iter [53800/160000] lr: 3.750e-05, eta: 7:00:13, time: 0.194, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1881, decode.acc_seg: 92.2060, loss: 0.1881 +2023-03-04 04:42:42,637 - mmseg - INFO - Iter [53850/160000] lr: 3.750e-05, eta: 6:59:57, time: 0.195, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1870, decode.acc_seg: 92.1758, loss: 0.1870 +2023-03-04 04:42:52,449 - mmseg - INFO - Iter [53900/160000] lr: 3.750e-05, eta: 6:59:41, time: 0.196, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1924, decode.acc_seg: 92.0795, loss: 0.1924 +2023-03-04 04:43:02,244 - mmseg - INFO - Iter [53950/160000] lr: 3.750e-05, eta: 6:59:25, time: 0.196, data_time: 0.007, memory: 52540, decode.loss_ce: 0.2008, decode.acc_seg: 91.8476, loss: 0.2008 +2023-03-04 04:43:11,840 - mmseg - INFO - Exp name: ablation_segformer_mit_b2_segformer_head_unet_fc_small_multi_step_ade_pretrained_freeze_embed_160k_ade20k151_finetune_ema_cos.py +2023-03-04 04:43:11,840 - mmseg - INFO - Iter [54000/160000] lr: 3.750e-05, eta: 6:59:09, time: 0.192, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1911, decode.acc_seg: 92.2273, loss: 0.1911 +2023-03-04 04:43:21,562 - mmseg - INFO - Iter [54050/160000] lr: 3.750e-05, eta: 6:58:53, time: 0.194, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1933, decode.acc_seg: 92.0760, loss: 0.1933 +2023-03-04 04:43:31,325 - mmseg - INFO - Iter [54100/160000] lr: 3.750e-05, eta: 6:58:37, time: 0.195, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1960, decode.acc_seg: 91.9808, loss: 0.1960 +2023-03-04 04:43:40,844 - mmseg - INFO - Iter [54150/160000] lr: 3.750e-05, eta: 6:58:20, time: 0.190, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1911, decode.acc_seg: 92.1815, loss: 0.1911 +2023-03-04 04:43:50,486 - mmseg - INFO - Iter [54200/160000] lr: 3.750e-05, eta: 6:58:04, time: 0.193, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1974, decode.acc_seg: 91.7923, loss: 0.1974 +2023-03-04 04:44:00,087 - mmseg - INFO - Iter [54250/160000] lr: 3.750e-05, eta: 6:57:48, time: 0.192, data_time: 0.007, memory: 52540, decode.loss_ce: 0.2035, decode.acc_seg: 91.6745, loss: 0.2035 +2023-03-04 04:44:12,207 - mmseg - INFO - Iter [54300/160000] lr: 3.750e-05, eta: 6:57:36, time: 0.242, data_time: 0.053, memory: 52540, decode.loss_ce: 0.1902, decode.acc_seg: 92.1790, loss: 0.1902 +2023-03-04 04:44:21,686 - mmseg - INFO - Iter [54350/160000] lr: 3.750e-05, eta: 6:57:20, time: 0.190, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1862, decode.acc_seg: 92.3119, loss: 0.1862 +2023-03-04 04:44:31,235 - mmseg - INFO - Iter [54400/160000] lr: 3.750e-05, eta: 6:57:04, time: 0.191, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1916, decode.acc_seg: 92.1248, loss: 0.1916 +2023-03-04 04:44:40,770 - mmseg - INFO - Iter [54450/160000] lr: 3.750e-05, eta: 6:56:47, time: 0.191, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1970, decode.acc_seg: 91.9599, loss: 0.1970 +2023-03-04 04:44:50,338 - mmseg - INFO - Iter [54500/160000] lr: 3.750e-05, eta: 6:56:31, time: 0.191, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1893, decode.acc_seg: 92.3641, loss: 0.1893 +2023-03-04 04:45:00,079 - mmseg - INFO - Iter [54550/160000] lr: 3.750e-05, eta: 6:56:15, time: 0.195, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1902, decode.acc_seg: 92.0776, loss: 0.1902 +2023-03-04 04:45:09,691 - mmseg - INFO - Iter [54600/160000] lr: 3.750e-05, eta: 6:55:59, time: 0.192, data_time: 0.007, memory: 52540, decode.loss_ce: 0.2067, decode.acc_seg: 91.4734, loss: 0.2067 +2023-03-04 04:45:19,533 - mmseg - INFO - Iter [54650/160000] lr: 3.750e-05, eta: 6:55:43, time: 0.197, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1877, decode.acc_seg: 92.2625, loss: 0.1877 +2023-03-04 04:45:29,259 - mmseg - INFO - Iter [54700/160000] lr: 3.750e-05, eta: 6:55:27, time: 0.195, data_time: 0.007, memory: 52540, decode.loss_ce: 0.2024, decode.acc_seg: 91.8611, loss: 0.2024 +2023-03-04 04:45:38,756 - mmseg - INFO - Iter [54750/160000] lr: 3.750e-05, eta: 6:55:11, time: 0.190, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1941, decode.acc_seg: 91.9663, loss: 0.1941 +2023-03-04 04:45:48,547 - mmseg - INFO - Iter [54800/160000] lr: 3.750e-05, eta: 6:54:55, time: 0.196, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1856, decode.acc_seg: 92.2820, loss: 0.1856 +2023-03-04 04:45:58,220 - mmseg - INFO - Iter [54850/160000] lr: 3.750e-05, eta: 6:54:39, time: 0.193, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1964, decode.acc_seg: 92.1749, loss: 0.1964 +2023-03-04 04:46:10,161 - mmseg - INFO - Iter [54900/160000] lr: 3.750e-05, eta: 6:54:28, time: 0.239, data_time: 0.053, memory: 52540, decode.loss_ce: 0.1965, decode.acc_seg: 92.0087, loss: 0.1965 +2023-03-04 04:46:19,940 - mmseg - INFO - Iter [54950/160000] lr: 3.750e-05, eta: 6:54:12, time: 0.195, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1940, decode.acc_seg: 92.0578, loss: 0.1940 +2023-03-04 04:46:29,821 - mmseg - INFO - Exp name: ablation_segformer_mit_b2_segformer_head_unet_fc_small_multi_step_ade_pretrained_freeze_embed_160k_ade20k151_finetune_ema_cos.py +2023-03-04 04:46:29,821 - mmseg - INFO - Iter [55000/160000] lr: 3.750e-05, eta: 6:53:56, time: 0.198, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1896, decode.acc_seg: 92.2262, loss: 0.1896 +2023-03-04 04:46:39,335 - mmseg - INFO - Iter [55050/160000] lr: 3.750e-05, eta: 6:53:40, time: 0.190, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1964, decode.acc_seg: 92.0304, loss: 0.1964 +2023-03-04 04:46:48,931 - mmseg - INFO - Iter [55100/160000] lr: 3.750e-05, eta: 6:53:24, time: 0.192, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1934, decode.acc_seg: 91.9515, loss: 0.1934 +2023-03-04 04:46:58,598 - mmseg - INFO - Iter [55150/160000] lr: 3.750e-05, eta: 6:53:08, time: 0.193, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1937, decode.acc_seg: 92.0576, loss: 0.1937 +2023-03-04 04:47:08,513 - mmseg - INFO - Iter [55200/160000] lr: 3.750e-05, eta: 6:52:53, time: 0.198, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1958, decode.acc_seg: 91.8625, loss: 0.1958 +2023-03-04 04:47:18,067 - mmseg - INFO - Iter [55250/160000] lr: 3.750e-05, eta: 6:52:37, time: 0.191, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1903, decode.acc_seg: 92.2252, loss: 0.1903 +2023-03-04 04:47:27,819 - mmseg - INFO - Iter [55300/160000] lr: 3.750e-05, eta: 6:52:21, time: 0.195, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1940, decode.acc_seg: 92.0590, loss: 0.1940 +2023-03-04 04:47:37,627 - mmseg - INFO - Iter [55350/160000] lr: 3.750e-05, eta: 6:52:05, time: 0.196, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1939, decode.acc_seg: 92.1101, loss: 0.1939 +2023-03-04 04:47:47,696 - mmseg - INFO - Iter [55400/160000] lr: 3.750e-05, eta: 6:51:50, time: 0.201, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1953, decode.acc_seg: 92.0041, loss: 0.1953 +2023-03-04 04:47:57,241 - mmseg - INFO - Iter [55450/160000] lr: 3.750e-05, eta: 6:51:34, time: 0.191, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1952, decode.acc_seg: 91.8425, loss: 0.1952 +2023-03-04 04:48:07,112 - mmseg - INFO - Iter [55500/160000] lr: 3.750e-05, eta: 6:51:19, time: 0.197, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1887, decode.acc_seg: 92.1970, loss: 0.1887 +2023-03-04 04:48:19,375 - mmseg - INFO - Iter [55550/160000] lr: 3.750e-05, eta: 6:51:08, time: 0.245, data_time: 0.053, memory: 52540, decode.loss_ce: 0.1874, decode.acc_seg: 92.2928, loss: 0.1874 +2023-03-04 04:48:28,936 - mmseg - INFO - Iter [55600/160000] lr: 3.750e-05, eta: 6:50:52, time: 0.191, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1938, decode.acc_seg: 92.0845, loss: 0.1938 +2023-03-04 04:48:38,485 - mmseg - INFO - Iter [55650/160000] lr: 3.750e-05, eta: 6:50:36, time: 0.191, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1929, decode.acc_seg: 92.0691, loss: 0.1929 +2023-03-04 04:48:48,229 - mmseg - INFO - Iter [55700/160000] lr: 3.750e-05, eta: 6:50:20, time: 0.195, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1991, decode.acc_seg: 91.9385, loss: 0.1991 +2023-03-04 04:48:58,039 - mmseg - INFO - Iter [55750/160000] lr: 3.750e-05, eta: 6:50:04, time: 0.196, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1918, decode.acc_seg: 91.9711, loss: 0.1918 +2023-03-04 04:49:07,935 - mmseg - INFO - Iter [55800/160000] lr: 3.750e-05, eta: 6:49:49, time: 0.198, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1930, decode.acc_seg: 92.0932, loss: 0.1930 +2023-03-04 04:49:17,800 - mmseg - INFO - Iter [55850/160000] lr: 3.750e-05, eta: 6:49:34, time: 0.197, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1921, decode.acc_seg: 92.1602, loss: 0.1921 +2023-03-04 04:49:27,531 - mmseg - INFO - Iter [55900/160000] lr: 3.750e-05, eta: 6:49:18, time: 0.195, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1911, decode.acc_seg: 92.1739, loss: 0.1911 +2023-03-04 04:49:37,053 - mmseg - INFO - Iter [55950/160000] lr: 3.750e-05, eta: 6:49:02, time: 0.190, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1872, decode.acc_seg: 92.3019, loss: 0.1872 +2023-03-04 04:49:46,700 - mmseg - INFO - Exp name: ablation_segformer_mit_b2_segformer_head_unet_fc_small_multi_step_ade_pretrained_freeze_embed_160k_ade20k151_finetune_ema_cos.py +2023-03-04 04:49:46,700 - mmseg - INFO - Iter [56000/160000] lr: 3.750e-05, eta: 6:48:46, time: 0.193, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1993, decode.acc_seg: 91.7760, loss: 0.1993 +2023-03-04 04:49:56,238 - mmseg - INFO - Iter [56050/160000] lr: 3.750e-05, eta: 6:48:30, time: 0.191, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1955, decode.acc_seg: 91.9740, loss: 0.1955 +2023-03-04 04:50:05,745 - mmseg - INFO - Iter [56100/160000] lr: 3.750e-05, eta: 6:48:14, time: 0.190, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1905, decode.acc_seg: 92.0668, loss: 0.1905 +2023-03-04 04:50:15,437 - mmseg - INFO - Iter [56150/160000] lr: 3.750e-05, eta: 6:47:59, time: 0.194, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1935, decode.acc_seg: 92.0449, loss: 0.1935 +2023-03-04 04:50:27,460 - mmseg - INFO - Iter [56200/160000] lr: 3.750e-05, eta: 6:47:47, time: 0.240, data_time: 0.053, memory: 52540, decode.loss_ce: 0.1855, decode.acc_seg: 92.2418, loss: 0.1855 +2023-03-04 04:50:37,195 - mmseg - INFO - Iter [56250/160000] lr: 3.750e-05, eta: 6:47:32, time: 0.195, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1969, decode.acc_seg: 91.8270, loss: 0.1969 +2023-03-04 04:50:46,851 - mmseg - INFO - Iter [56300/160000] lr: 3.750e-05, eta: 6:47:16, time: 0.193, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1923, decode.acc_seg: 92.0207, loss: 0.1923 +2023-03-04 04:50:56,598 - mmseg - INFO - Iter [56350/160000] lr: 3.750e-05, eta: 6:47:00, time: 0.195, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1842, decode.acc_seg: 92.4655, loss: 0.1842 +2023-03-04 04:51:06,216 - mmseg - INFO - Iter [56400/160000] lr: 3.750e-05, eta: 6:46:45, time: 0.192, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1867, decode.acc_seg: 92.3698, loss: 0.1867 +2023-03-04 04:51:15,859 - mmseg - INFO - Iter [56450/160000] lr: 3.750e-05, eta: 6:46:29, time: 0.193, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1951, decode.acc_seg: 92.0222, loss: 0.1951 +2023-03-04 04:51:25,536 - mmseg - INFO - Iter [56500/160000] lr: 3.750e-05, eta: 6:46:13, time: 0.194, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1928, decode.acc_seg: 91.8964, loss: 0.1928 +2023-03-04 04:51:35,016 - mmseg - INFO - Iter [56550/160000] lr: 3.750e-05, eta: 6:45:57, time: 0.190, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1949, decode.acc_seg: 91.9230, loss: 0.1949 +2023-03-04 04:51:44,528 - mmseg - INFO - Iter [56600/160000] lr: 3.750e-05, eta: 6:45:41, time: 0.190, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1941, decode.acc_seg: 92.0388, loss: 0.1941 +2023-03-04 04:51:54,247 - mmseg - INFO - Iter [56650/160000] lr: 3.750e-05, eta: 6:45:26, time: 0.195, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1984, decode.acc_seg: 91.7750, loss: 0.1984 +2023-03-04 04:52:03,903 - mmseg - INFO - Iter [56700/160000] lr: 3.750e-05, eta: 6:45:10, time: 0.193, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1936, decode.acc_seg: 91.9990, loss: 0.1936 +2023-03-04 04:52:13,461 - mmseg - INFO - Iter [56750/160000] lr: 3.750e-05, eta: 6:44:55, time: 0.191, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1863, decode.acc_seg: 92.1789, loss: 0.1863 +2023-03-04 04:52:25,480 - mmseg - INFO - Iter [56800/160000] lr: 3.750e-05, eta: 6:44:43, time: 0.240, data_time: 0.055, memory: 52540, decode.loss_ce: 0.2003, decode.acc_seg: 91.7509, loss: 0.2003 +2023-03-04 04:52:35,395 - mmseg - INFO - Iter [56850/160000] lr: 3.750e-05, eta: 6:44:28, time: 0.198, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1923, decode.acc_seg: 92.1111, loss: 0.1923 +2023-03-04 04:52:44,981 - mmseg - INFO - Iter [56900/160000] lr: 3.750e-05, eta: 6:44:12, time: 0.192, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1906, decode.acc_seg: 92.0417, loss: 0.1906 +2023-03-04 04:52:54,621 - mmseg - INFO - Iter [56950/160000] lr: 3.750e-05, eta: 6:43:57, time: 0.193, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1929, decode.acc_seg: 91.9447, loss: 0.1929 +2023-03-04 04:53:04,937 - mmseg - INFO - Exp name: ablation_segformer_mit_b2_segformer_head_unet_fc_small_multi_step_ade_pretrained_freeze_embed_160k_ade20k151_finetune_ema_cos.py +2023-03-04 04:53:04,937 - mmseg - INFO - Iter [57000/160000] lr: 3.750e-05, eta: 6:43:42, time: 0.206, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1886, decode.acc_seg: 92.2063, loss: 0.1886 +2023-03-04 04:53:14,481 - mmseg - INFO - Iter [57050/160000] lr: 3.750e-05, eta: 6:43:27, time: 0.191, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1949, decode.acc_seg: 92.0680, loss: 0.1949 +2023-03-04 04:53:23,916 - mmseg - INFO - Iter [57100/160000] lr: 3.750e-05, eta: 6:43:11, time: 0.189, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1922, decode.acc_seg: 92.1778, loss: 0.1922 +2023-03-04 04:53:33,487 - mmseg - INFO - Iter [57150/160000] lr: 3.750e-05, eta: 6:42:55, time: 0.191, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1943, decode.acc_seg: 91.8780, loss: 0.1943 +2023-03-04 04:53:43,228 - mmseg - INFO - Iter [57200/160000] lr: 3.750e-05, eta: 6:42:40, time: 0.195, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1938, decode.acc_seg: 92.0974, loss: 0.1938 +2023-03-04 04:53:52,920 - mmseg - INFO - Iter [57250/160000] lr: 3.750e-05, eta: 6:42:24, time: 0.194, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1928, decode.acc_seg: 92.1595, loss: 0.1928 +2023-03-04 04:54:02,753 - mmseg - INFO - Iter [57300/160000] lr: 3.750e-05, eta: 6:42:09, time: 0.197, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1950, decode.acc_seg: 92.0939, loss: 0.1950 +2023-03-04 04:54:12,563 - mmseg - INFO - Iter [57350/160000] lr: 3.750e-05, eta: 6:41:54, time: 0.196, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1920, decode.acc_seg: 92.0591, loss: 0.1920 +2023-03-04 04:54:22,053 - mmseg - INFO - Iter [57400/160000] lr: 3.750e-05, eta: 6:41:38, time: 0.190, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1906, decode.acc_seg: 92.0408, loss: 0.1906 +2023-03-04 04:54:34,246 - mmseg - INFO - Iter [57450/160000] lr: 3.750e-05, eta: 6:41:27, time: 0.244, data_time: 0.053, memory: 52540, decode.loss_ce: 0.1918, decode.acc_seg: 92.1941, loss: 0.1918 +2023-03-04 04:54:43,841 - mmseg - INFO - Iter [57500/160000] lr: 3.750e-05, eta: 6:41:12, time: 0.192, data_time: 0.007, memory: 52540, decode.loss_ce: 0.2021, decode.acc_seg: 91.5831, loss: 0.2021 +2023-03-04 04:54:53,478 - mmseg - INFO - Iter [57550/160000] lr: 3.750e-05, eta: 6:40:56, time: 0.193, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1935, decode.acc_seg: 91.9382, loss: 0.1935 +2023-03-04 04:55:02,988 - mmseg - INFO - Iter [57600/160000] lr: 3.750e-05, eta: 6:40:40, time: 0.190, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1959, decode.acc_seg: 91.8920, loss: 0.1959 +2023-03-04 04:55:13,048 - mmseg - INFO - Iter [57650/160000] lr: 3.750e-05, eta: 6:40:26, time: 0.201, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1920, decode.acc_seg: 91.9908, loss: 0.1920 +2023-03-04 04:55:22,568 - mmseg - INFO - Iter [57700/160000] lr: 3.750e-05, eta: 6:40:10, time: 0.190, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1938, decode.acc_seg: 92.1936, loss: 0.1938 +2023-03-04 04:55:32,382 - mmseg - INFO - Iter [57750/160000] lr: 3.750e-05, eta: 6:39:55, time: 0.196, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1924, decode.acc_seg: 92.0403, loss: 0.1924 +2023-03-04 04:55:42,512 - mmseg - INFO - Iter [57800/160000] lr: 3.750e-05, eta: 6:39:40, time: 0.203, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1903, decode.acc_seg: 92.0716, loss: 0.1903 +2023-03-04 04:55:52,246 - mmseg - INFO - Iter [57850/160000] lr: 3.750e-05, eta: 6:39:25, time: 0.195, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1951, decode.acc_seg: 91.8670, loss: 0.1951 +2023-03-04 04:56:01,726 - mmseg - INFO - Iter [57900/160000] lr: 3.750e-05, eta: 6:39:09, time: 0.190, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1835, decode.acc_seg: 92.5480, loss: 0.1835 +2023-03-04 04:56:11,288 - mmseg - INFO - Iter [57950/160000] lr: 3.750e-05, eta: 6:38:54, time: 0.191, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1991, decode.acc_seg: 91.9694, loss: 0.1991 +2023-03-04 04:56:20,872 - mmseg - INFO - Exp name: ablation_segformer_mit_b2_segformer_head_unet_fc_small_multi_step_ade_pretrained_freeze_embed_160k_ade20k151_finetune_ema_cos.py +2023-03-04 04:56:20,872 - mmseg - INFO - Iter [58000/160000] lr: 3.750e-05, eta: 6:38:38, time: 0.192, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1890, decode.acc_seg: 92.1997, loss: 0.1890 +2023-03-04 04:56:30,386 - mmseg - INFO - Iter [58050/160000] lr: 3.750e-05, eta: 6:38:23, time: 0.190, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1943, decode.acc_seg: 92.0615, loss: 0.1943 +2023-03-04 04:56:42,523 - mmseg - INFO - Iter [58100/160000] lr: 3.750e-05, eta: 6:38:12, time: 0.243, data_time: 0.052, memory: 52540, decode.loss_ce: 0.1976, decode.acc_seg: 92.0578, loss: 0.1976 +2023-03-04 04:56:52,195 - mmseg - INFO - Iter [58150/160000] lr: 3.750e-05, eta: 6:37:56, time: 0.193, data_time: 0.007, memory: 52540, decode.loss_ce: 0.2005, decode.acc_seg: 91.8595, loss: 0.2005 +2023-03-04 04:57:01,821 - mmseg - INFO - Iter [58200/160000] lr: 3.750e-05, eta: 6:37:41, time: 0.193, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1952, decode.acc_seg: 91.8611, loss: 0.1952 +2023-03-04 04:57:11,443 - mmseg - INFO - Iter [58250/160000] lr: 3.750e-05, eta: 6:37:26, time: 0.192, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1937, decode.acc_seg: 92.0721, loss: 0.1937 +2023-03-04 04:57:21,293 - mmseg - INFO - Iter [58300/160000] lr: 3.750e-05, eta: 6:37:11, time: 0.197, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1930, decode.acc_seg: 92.0441, loss: 0.1930 +2023-03-04 04:57:31,014 - mmseg - INFO - Iter [58350/160000] lr: 3.750e-05, eta: 6:36:55, time: 0.194, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1938, decode.acc_seg: 92.0558, loss: 0.1938 +2023-03-04 04:57:40,773 - mmseg - INFO - Iter [58400/160000] lr: 3.750e-05, eta: 6:36:40, time: 0.195, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1886, decode.acc_seg: 92.1379, loss: 0.1886 +2023-03-04 04:57:50,523 - mmseg - INFO - Iter [58450/160000] lr: 3.750e-05, eta: 6:36:25, time: 0.195, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1923, decode.acc_seg: 92.0412, loss: 0.1923 +2023-03-04 04:58:00,037 - mmseg - INFO - Iter [58500/160000] lr: 3.750e-05, eta: 6:36:10, time: 0.190, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1869, decode.acc_seg: 92.3428, loss: 0.1869 +2023-03-04 04:58:09,647 - mmseg - INFO - Iter [58550/160000] lr: 3.750e-05, eta: 6:35:54, time: 0.192, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1908, decode.acc_seg: 92.1072, loss: 0.1908 +2023-03-04 04:58:19,328 - mmseg - INFO - Iter [58600/160000] lr: 3.750e-05, eta: 6:35:39, time: 0.194, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1895, decode.acc_seg: 92.0332, loss: 0.1895 +2023-03-04 04:58:29,070 - mmseg - INFO - Iter [58650/160000] lr: 3.750e-05, eta: 6:35:24, time: 0.195, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1910, decode.acc_seg: 92.1645, loss: 0.1910 +2023-03-04 04:58:41,241 - mmseg - INFO - Iter [58700/160000] lr: 3.750e-05, eta: 6:35:13, time: 0.244, data_time: 0.055, memory: 52540, decode.loss_ce: 0.1977, decode.acc_seg: 92.0764, loss: 0.1977 +2023-03-04 04:58:50,955 - mmseg - INFO - Iter [58750/160000] lr: 3.750e-05, eta: 6:34:58, time: 0.194, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1934, decode.acc_seg: 92.1005, loss: 0.1934 +2023-03-04 04:59:01,110 - mmseg - INFO - Iter [58800/160000] lr: 3.750e-05, eta: 6:34:44, time: 0.203, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1886, decode.acc_seg: 92.2179, loss: 0.1886 +2023-03-04 04:59:11,057 - mmseg - INFO - Iter [58850/160000] lr: 3.750e-05, eta: 6:34:29, time: 0.199, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1814, decode.acc_seg: 92.4226, loss: 0.1814 +2023-03-04 04:59:20,951 - mmseg - INFO - Iter [58900/160000] lr: 3.750e-05, eta: 6:34:14, time: 0.198, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1987, decode.acc_seg: 91.9066, loss: 0.1987 +2023-03-04 04:59:30,527 - mmseg - INFO - Iter [58950/160000] lr: 3.750e-05, eta: 6:33:59, time: 0.192, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1889, decode.acc_seg: 92.1971, loss: 0.1889 +2023-03-04 04:59:40,382 - mmseg - INFO - Exp name: ablation_segformer_mit_b2_segformer_head_unet_fc_small_multi_step_ade_pretrained_freeze_embed_160k_ade20k151_finetune_ema_cos.py +2023-03-04 04:59:40,382 - mmseg - INFO - Iter [59000/160000] lr: 3.750e-05, eta: 6:33:44, time: 0.197, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1984, decode.acc_seg: 91.7995, loss: 0.1984 +2023-03-04 04:59:49,919 - mmseg - INFO - Iter [59050/160000] lr: 3.750e-05, eta: 6:33:28, time: 0.191, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1920, decode.acc_seg: 91.8784, loss: 0.1920 +2023-03-04 04:59:59,547 - mmseg - INFO - Iter [59100/160000] lr: 3.750e-05, eta: 6:33:13, time: 0.193, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1955, decode.acc_seg: 92.0622, loss: 0.1955 +2023-03-04 05:00:09,007 - mmseg - INFO - Iter [59150/160000] lr: 3.750e-05, eta: 6:32:58, time: 0.189, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1891, decode.acc_seg: 92.3835, loss: 0.1891 +2023-03-04 05:00:18,956 - mmseg - INFO - Iter [59200/160000] lr: 3.750e-05, eta: 6:32:43, time: 0.199, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1923, decode.acc_seg: 92.0780, loss: 0.1923 +2023-03-04 05:00:28,969 - mmseg - INFO - Iter [59250/160000] lr: 3.750e-05, eta: 6:32:29, time: 0.200, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1863, decode.acc_seg: 92.3116, loss: 0.1863 +2023-03-04 05:00:38,660 - mmseg - INFO - Iter [59300/160000] lr: 3.750e-05, eta: 6:32:13, time: 0.194, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1905, decode.acc_seg: 92.2564, loss: 0.1905 +2023-03-04 05:00:51,070 - mmseg - INFO - Iter [59350/160000] lr: 3.750e-05, eta: 6:32:03, time: 0.248, data_time: 0.055, memory: 52540, decode.loss_ce: 0.1949, decode.acc_seg: 91.9903, loss: 0.1949 +2023-03-04 05:01:00,861 - mmseg - INFO - Iter [59400/160000] lr: 3.750e-05, eta: 6:31:48, time: 0.196, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1904, decode.acc_seg: 92.2680, loss: 0.1904 +2023-03-04 05:01:10,759 - mmseg - INFO - Iter [59450/160000] lr: 3.750e-05, eta: 6:31:33, time: 0.198, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1928, decode.acc_seg: 92.0535, loss: 0.1928 +2023-03-04 05:01:20,509 - mmseg - INFO - Iter [59500/160000] lr: 3.750e-05, eta: 6:31:18, time: 0.195, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1878, decode.acc_seg: 92.1397, loss: 0.1878 +2023-03-04 05:01:30,070 - mmseg - INFO - Iter [59550/160000] lr: 3.750e-05, eta: 6:31:03, time: 0.191, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1984, decode.acc_seg: 92.0223, loss: 0.1984 +2023-03-04 05:01:39,834 - mmseg - INFO - Iter [59600/160000] lr: 3.750e-05, eta: 6:30:48, time: 0.195, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1931, decode.acc_seg: 92.0317, loss: 0.1931 +2023-03-04 05:01:49,398 - mmseg - INFO - Iter [59650/160000] lr: 3.750e-05, eta: 6:30:33, time: 0.191, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1947, decode.acc_seg: 91.9593, loss: 0.1947 +2023-03-04 05:01:59,251 - mmseg - INFO - Iter [59700/160000] lr: 3.750e-05, eta: 6:30:18, time: 0.197, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1887, decode.acc_seg: 92.1797, loss: 0.1887 +2023-03-04 05:02:09,032 - mmseg - INFO - Iter [59750/160000] lr: 3.750e-05, eta: 6:30:03, time: 0.196, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1892, decode.acc_seg: 92.1082, loss: 0.1892 +2023-03-04 05:02:19,039 - mmseg - INFO - Iter [59800/160000] lr: 3.750e-05, eta: 6:29:49, time: 0.200, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1924, decode.acc_seg: 92.1482, loss: 0.1924 +2023-03-04 05:02:28,744 - mmseg - INFO - Iter [59850/160000] lr: 3.750e-05, eta: 6:29:34, time: 0.194, data_time: 0.007, memory: 52540, decode.loss_ce: 0.2020, decode.acc_seg: 91.6009, loss: 0.2020 +2023-03-04 05:02:38,325 - mmseg - INFO - Iter [59900/160000] lr: 3.750e-05, eta: 6:29:19, time: 0.192, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1896, decode.acc_seg: 92.1950, loss: 0.1896 +2023-03-04 05:02:50,388 - mmseg - INFO - Iter [59950/160000] lr: 3.750e-05, eta: 6:29:08, time: 0.241, data_time: 0.053, memory: 52540, decode.loss_ce: 0.1971, decode.acc_seg: 91.9365, loss: 0.1971 +2023-03-04 05:03:00,298 - mmseg - INFO - Exp name: ablation_segformer_mit_b2_segformer_head_unet_fc_small_multi_step_ade_pretrained_freeze_embed_160k_ade20k151_finetune_ema_cos.py +2023-03-04 05:03:00,298 - mmseg - INFO - Iter [60000/160000] lr: 3.750e-05, eta: 6:28:53, time: 0.198, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1874, decode.acc_seg: 92.1697, loss: 0.1874 +2023-03-04 05:03:10,202 - mmseg - INFO - Iter [60050/160000] lr: 1.875e-05, eta: 6:28:39, time: 0.198, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1951, decode.acc_seg: 92.0192, loss: 0.1951 +2023-03-04 05:03:20,186 - mmseg - INFO - Iter [60100/160000] lr: 1.875e-05, eta: 6:28:24, time: 0.200, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1907, decode.acc_seg: 92.1550, loss: 0.1907 +2023-03-04 05:03:30,050 - mmseg - INFO - Iter [60150/160000] lr: 1.875e-05, eta: 6:28:10, time: 0.197, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1819, decode.acc_seg: 92.4905, loss: 0.1819 +2023-03-04 05:03:39,617 - mmseg - INFO - Iter [60200/160000] lr: 1.875e-05, eta: 6:27:54, time: 0.191, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1875, decode.acc_seg: 92.2251, loss: 0.1875 +2023-03-04 05:03:49,356 - mmseg - INFO - Iter [60250/160000] lr: 1.875e-05, eta: 6:27:40, time: 0.195, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1881, decode.acc_seg: 92.2750, loss: 0.1881 +2023-03-04 05:03:59,031 - mmseg - INFO - Iter [60300/160000] lr: 1.875e-05, eta: 6:27:25, time: 0.193, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1918, decode.acc_seg: 92.1693, loss: 0.1918 +2023-03-04 05:04:08,725 - mmseg - INFO - Iter [60350/160000] lr: 1.875e-05, eta: 6:27:10, time: 0.194, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1883, decode.acc_seg: 92.2439, loss: 0.1883 +2023-03-04 05:04:18,451 - mmseg - INFO - Iter [60400/160000] lr: 1.875e-05, eta: 6:26:55, time: 0.195, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1827, decode.acc_seg: 92.2677, loss: 0.1827 +2023-03-04 05:04:28,181 - mmseg - INFO - Iter [60450/160000] lr: 1.875e-05, eta: 6:26:40, time: 0.195, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1902, decode.acc_seg: 92.2032, loss: 0.1902 +2023-03-04 05:04:38,108 - mmseg - INFO - Iter [60500/160000] lr: 1.875e-05, eta: 6:26:26, time: 0.199, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1877, decode.acc_seg: 92.3304, loss: 0.1877 +2023-03-04 05:04:47,608 - mmseg - INFO - Iter [60550/160000] lr: 1.875e-05, eta: 6:26:10, time: 0.190, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1918, decode.acc_seg: 92.2029, loss: 0.1918 +2023-03-04 05:04:59,790 - mmseg - INFO - Iter [60600/160000] lr: 1.875e-05, eta: 6:26:00, time: 0.244, data_time: 0.055, memory: 52540, decode.loss_ce: 0.2000, decode.acc_seg: 91.7280, loss: 0.2000 +2023-03-04 05:05:09,385 - mmseg - INFO - Iter [60650/160000] lr: 1.875e-05, eta: 6:25:45, time: 0.192, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1920, decode.acc_seg: 92.1018, loss: 0.1920 +2023-03-04 05:05:19,000 - mmseg - INFO - Iter [60700/160000] lr: 1.875e-05, eta: 6:25:30, time: 0.192, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1918, decode.acc_seg: 92.1966, loss: 0.1918 +2023-03-04 05:05:28,727 - mmseg - INFO - Iter [60750/160000] lr: 1.875e-05, eta: 6:25:15, time: 0.195, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1893, decode.acc_seg: 92.2326, loss: 0.1893 +2023-03-04 05:05:38,686 - mmseg - INFO - Iter [60800/160000] lr: 1.875e-05, eta: 6:25:00, time: 0.199, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1902, decode.acc_seg: 92.1440, loss: 0.1902 +2023-03-04 05:05:48,687 - mmseg - INFO - Iter [60850/160000] lr: 1.875e-05, eta: 6:24:46, time: 0.200, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1868, decode.acc_seg: 92.3489, loss: 0.1868 +2023-03-04 05:05:58,410 - mmseg - INFO - Iter [60900/160000] lr: 1.875e-05, eta: 6:24:31, time: 0.194, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1939, decode.acc_seg: 91.9973, loss: 0.1939 +2023-03-04 05:06:08,285 - mmseg - INFO - Iter [60950/160000] lr: 1.875e-05, eta: 6:24:17, time: 0.197, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1913, decode.acc_seg: 92.1454, loss: 0.1913 +2023-03-04 05:06:18,095 - mmseg - INFO - Exp name: ablation_segformer_mit_b2_segformer_head_unet_fc_small_multi_step_ade_pretrained_freeze_embed_160k_ade20k151_finetune_ema_cos.py +2023-03-04 05:06:18,095 - mmseg - INFO - Iter [61000/160000] lr: 1.875e-05, eta: 6:24:02, time: 0.196, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1939, decode.acc_seg: 92.0519, loss: 0.1939 +2023-03-04 05:06:27,993 - mmseg - INFO - Iter [61050/160000] lr: 1.875e-05, eta: 6:23:48, time: 0.198, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1841, decode.acc_seg: 92.3220, loss: 0.1841 +2023-03-04 05:06:37,993 - mmseg - INFO - Iter [61100/160000] lr: 1.875e-05, eta: 6:23:33, time: 0.200, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1842, decode.acc_seg: 92.5191, loss: 0.1842 +2023-03-04 05:06:47,438 - mmseg - INFO - Iter [61150/160000] lr: 1.875e-05, eta: 6:23:18, time: 0.189, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1926, decode.acc_seg: 92.0828, loss: 0.1926 +2023-03-04 05:06:57,387 - mmseg - INFO - Iter [61200/160000] lr: 1.875e-05, eta: 6:23:04, time: 0.199, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1877, decode.acc_seg: 92.2209, loss: 0.1877 +2023-03-04 05:07:09,440 - mmseg - INFO - Iter [61250/160000] lr: 1.875e-05, eta: 6:22:53, time: 0.241, data_time: 0.054, memory: 52540, decode.loss_ce: 0.1817, decode.acc_seg: 92.4902, loss: 0.1817 +2023-03-04 05:07:19,035 - mmseg - INFO - Iter [61300/160000] lr: 1.875e-05, eta: 6:22:38, time: 0.192, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1881, decode.acc_seg: 92.4222, loss: 0.1881 +2023-03-04 05:07:28,765 - mmseg - INFO - Iter [61350/160000] lr: 1.875e-05, eta: 6:22:23, time: 0.195, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1964, decode.acc_seg: 91.8412, loss: 0.1964 +2023-03-04 05:07:38,431 - mmseg - INFO - Iter [61400/160000] lr: 1.875e-05, eta: 6:22:09, time: 0.193, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1855, decode.acc_seg: 92.3139, loss: 0.1855 +2023-03-04 05:07:48,028 - mmseg - INFO - Iter [61450/160000] lr: 1.875e-05, eta: 6:21:54, time: 0.192, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1842, decode.acc_seg: 92.3115, loss: 0.1842 +2023-03-04 05:07:57,569 - mmseg - INFO - Iter [61500/160000] lr: 1.875e-05, eta: 6:21:39, time: 0.191, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1890, decode.acc_seg: 92.2517, loss: 0.1890 +2023-03-04 05:08:07,414 - mmseg - INFO - Iter [61550/160000] lr: 1.875e-05, eta: 6:21:24, time: 0.197, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1968, decode.acc_seg: 91.9654, loss: 0.1968 +2023-03-04 05:08:17,169 - mmseg - INFO - Iter [61600/160000] lr: 1.875e-05, eta: 6:21:10, time: 0.195, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1870, decode.acc_seg: 92.2664, loss: 0.1870 +2023-03-04 05:08:26,750 - mmseg - INFO - Iter [61650/160000] lr: 1.875e-05, eta: 6:20:55, time: 0.192, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1897, decode.acc_seg: 92.2055, loss: 0.1897 +2023-03-04 05:08:36,717 - mmseg - INFO - Iter [61700/160000] lr: 1.875e-05, eta: 6:20:41, time: 0.199, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1940, decode.acc_seg: 92.0251, loss: 0.1940 +2023-03-04 05:08:46,305 - mmseg - INFO - Iter [61750/160000] lr: 1.875e-05, eta: 6:20:26, time: 0.192, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1950, decode.acc_seg: 91.8961, loss: 0.1950 +2023-03-04 05:08:56,086 - mmseg - INFO - Iter [61800/160000] lr: 1.875e-05, eta: 6:20:11, time: 0.196, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1857, decode.acc_seg: 92.2511, loss: 0.1857 +2023-03-04 05:09:08,443 - mmseg - INFO - Iter [61850/160000] lr: 1.875e-05, eta: 6:20:01, time: 0.247, data_time: 0.058, memory: 52540, decode.loss_ce: 0.1921, decode.acc_seg: 92.0545, loss: 0.1921 +2023-03-04 05:09:18,007 - mmseg - INFO - Iter [61900/160000] lr: 1.875e-05, eta: 6:19:46, time: 0.191, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1945, decode.acc_seg: 92.1694, loss: 0.1945 +2023-03-04 05:09:27,473 - mmseg - INFO - Iter [61950/160000] lr: 1.875e-05, eta: 6:19:31, time: 0.189, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1875, decode.acc_seg: 92.3108, loss: 0.1875 +2023-03-04 05:09:37,170 - mmseg - INFO - Exp name: ablation_segformer_mit_b2_segformer_head_unet_fc_small_multi_step_ade_pretrained_freeze_embed_160k_ade20k151_finetune_ema_cos.py +2023-03-04 05:09:37,171 - mmseg - INFO - Iter [62000/160000] lr: 1.875e-05, eta: 6:19:16, time: 0.194, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1899, decode.acc_seg: 92.3073, loss: 0.1899 +2023-03-04 05:09:46,744 - mmseg - INFO - Iter [62050/160000] lr: 1.875e-05, eta: 6:19:01, time: 0.191, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1868, decode.acc_seg: 92.0467, loss: 0.1868 +2023-03-04 05:09:56,373 - mmseg - INFO - Iter [62100/160000] lr: 1.875e-05, eta: 6:18:47, time: 0.192, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1945, decode.acc_seg: 92.0044, loss: 0.1945 +2023-03-04 05:10:06,020 - mmseg - INFO - Iter [62150/160000] lr: 1.875e-05, eta: 6:18:32, time: 0.193, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1931, decode.acc_seg: 92.1021, loss: 0.1931 +2023-03-04 05:10:15,539 - mmseg - INFO - Iter [62200/160000] lr: 1.875e-05, eta: 6:18:17, time: 0.190, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1947, decode.acc_seg: 91.9985, loss: 0.1947 +2023-03-04 05:10:25,412 - mmseg - INFO - Iter [62250/160000] lr: 1.875e-05, eta: 6:18:03, time: 0.197, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1888, decode.acc_seg: 92.1405, loss: 0.1888 +2023-03-04 05:10:34,925 - mmseg - INFO - Iter [62300/160000] lr: 1.875e-05, eta: 6:17:48, time: 0.190, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1831, decode.acc_seg: 92.3544, loss: 0.1831 +2023-03-04 05:10:44,433 - mmseg - INFO - Iter [62350/160000] lr: 1.875e-05, eta: 6:17:33, time: 0.190, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1906, decode.acc_seg: 92.1575, loss: 0.1906 +2023-03-04 05:10:54,024 - mmseg - INFO - Iter [62400/160000] lr: 1.875e-05, eta: 6:17:18, time: 0.192, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1880, decode.acc_seg: 92.2174, loss: 0.1880 +2023-03-04 05:11:03,622 - mmseg - INFO - Iter [62450/160000] lr: 1.875e-05, eta: 6:17:04, time: 0.192, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1964, decode.acc_seg: 92.0475, loss: 0.1964 +2023-03-04 05:11:15,677 - mmseg - INFO - Iter [62500/160000] lr: 1.875e-05, eta: 6:16:53, time: 0.241, data_time: 0.054, memory: 52540, decode.loss_ce: 0.1868, decode.acc_seg: 92.2082, loss: 0.1868 +2023-03-04 05:11:25,520 - mmseg - INFO - Iter [62550/160000] lr: 1.875e-05, eta: 6:16:38, time: 0.197, data_time: 0.006, memory: 52540, decode.loss_ce: 0.1943, decode.acc_seg: 92.0038, loss: 0.1943 +2023-03-04 05:11:35,283 - mmseg - INFO - Iter [62600/160000] lr: 1.875e-05, eta: 6:16:24, time: 0.195, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1924, decode.acc_seg: 92.0217, loss: 0.1924 +2023-03-04 05:11:45,003 - mmseg - INFO - Iter [62650/160000] lr: 1.875e-05, eta: 6:16:09, time: 0.194, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1884, decode.acc_seg: 92.3013, loss: 0.1884 +2023-03-04 05:11:54,885 - mmseg - INFO - Iter [62700/160000] lr: 1.875e-05, eta: 6:15:55, time: 0.198, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1856, decode.acc_seg: 92.1629, loss: 0.1856 +2023-03-04 05:12:04,457 - mmseg - INFO - Iter [62750/160000] lr: 1.875e-05, eta: 6:15:40, time: 0.191, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1890, decode.acc_seg: 92.2274, loss: 0.1890 +2023-03-04 05:12:14,015 - mmseg - INFO - Iter [62800/160000] lr: 1.875e-05, eta: 6:15:26, time: 0.191, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1873, decode.acc_seg: 92.2524, loss: 0.1873 +2023-03-04 05:12:23,697 - mmseg - INFO - Iter [62850/160000] lr: 1.875e-05, eta: 6:15:11, time: 0.194, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1978, decode.acc_seg: 91.8575, loss: 0.1978 +2023-03-04 05:12:33,406 - mmseg - INFO - Iter [62900/160000] lr: 1.875e-05, eta: 6:14:57, time: 0.194, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1957, decode.acc_seg: 92.0912, loss: 0.1957 +2023-03-04 05:12:43,005 - mmseg - INFO - Iter [62950/160000] lr: 1.875e-05, eta: 6:14:42, time: 0.192, data_time: 0.007, memory: 52540, decode.loss_ce: 0.2005, decode.acc_seg: 91.8732, loss: 0.2005 +2023-03-04 05:12:52,703 - mmseg - INFO - Exp name: ablation_segformer_mit_b2_segformer_head_unet_fc_small_multi_step_ade_pretrained_freeze_embed_160k_ade20k151_finetune_ema_cos.py +2023-03-04 05:12:52,703 - mmseg - INFO - Iter [63000/160000] lr: 1.875e-05, eta: 6:14:28, time: 0.194, data_time: 0.007, memory: 52540, decode.loss_ce: 0.2009, decode.acc_seg: 91.7211, loss: 0.2009 +2023-03-04 05:13:02,349 - mmseg - INFO - Iter [63050/160000] lr: 1.875e-05, eta: 6:14:13, time: 0.193, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1830, decode.acc_seg: 92.5330, loss: 0.1830 +2023-03-04 05:13:11,835 - mmseg - INFO - Iter [63100/160000] lr: 1.875e-05, eta: 6:13:58, time: 0.190, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1953, decode.acc_seg: 92.0709, loss: 0.1953 +2023-03-04 05:13:24,028 - mmseg - INFO - Iter [63150/160000] lr: 1.875e-05, eta: 6:13:48, time: 0.244, data_time: 0.054, memory: 52540, decode.loss_ce: 0.1949, decode.acc_seg: 91.9529, loss: 0.1949 +2023-03-04 05:13:33,734 - mmseg - INFO - Iter [63200/160000] lr: 1.875e-05, eta: 6:13:33, time: 0.194, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1890, decode.acc_seg: 92.1027, loss: 0.1890 +2023-03-04 05:13:43,240 - mmseg - INFO - Iter [63250/160000] lr: 1.875e-05, eta: 6:13:18, time: 0.190, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1850, decode.acc_seg: 92.4310, loss: 0.1850 +2023-03-04 05:13:53,191 - mmseg - INFO - Iter [63300/160000] lr: 1.875e-05, eta: 6:13:04, time: 0.199, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1878, decode.acc_seg: 92.2971, loss: 0.1878 +2023-03-04 05:14:02,937 - mmseg - INFO - Iter [63350/160000] lr: 1.875e-05, eta: 6:12:50, time: 0.195, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1943, decode.acc_seg: 92.0683, loss: 0.1943 +2023-03-04 05:14:13,050 - mmseg - INFO - Iter [63400/160000] lr: 1.875e-05, eta: 6:12:36, time: 0.202, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1909, decode.acc_seg: 92.1605, loss: 0.1909 +2023-03-04 05:14:22,798 - mmseg - INFO - Iter [63450/160000] lr: 1.875e-05, eta: 6:12:22, time: 0.195, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1873, decode.acc_seg: 92.2711, loss: 0.1873 +2023-03-04 05:14:32,387 - mmseg - INFO - Iter [63500/160000] lr: 1.875e-05, eta: 6:12:07, time: 0.192, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1876, decode.acc_seg: 92.2143, loss: 0.1876 +2023-03-04 05:14:41,929 - mmseg - INFO - Iter [63550/160000] lr: 1.875e-05, eta: 6:11:53, time: 0.191, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1948, decode.acc_seg: 92.0976, loss: 0.1948 +2023-03-04 05:14:51,621 - mmseg - INFO - Iter [63600/160000] lr: 1.875e-05, eta: 6:11:38, time: 0.194, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1925, decode.acc_seg: 92.0189, loss: 0.1925 +2023-03-04 05:15:01,353 - mmseg - INFO - Iter [63650/160000] lr: 1.875e-05, eta: 6:11:24, time: 0.195, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1907, decode.acc_seg: 92.1843, loss: 0.1907 +2023-03-04 05:15:11,109 - mmseg - INFO - Iter [63700/160000] lr: 1.875e-05, eta: 6:11:10, time: 0.195, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1894, decode.acc_seg: 92.2730, loss: 0.1894 +2023-03-04 05:15:23,563 - mmseg - INFO - Iter [63750/160000] lr: 1.875e-05, eta: 6:10:59, time: 0.249, data_time: 0.056, memory: 52540, decode.loss_ce: 0.1877, decode.acc_seg: 92.2612, loss: 0.1877 +2023-03-04 05:15:33,149 - mmseg - INFO - Iter [63800/160000] lr: 1.875e-05, eta: 6:10:45, time: 0.192, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1823, decode.acc_seg: 92.4948, loss: 0.1823 +2023-03-04 05:15:43,040 - mmseg - INFO - Iter [63850/160000] lr: 1.875e-05, eta: 6:10:31, time: 0.198, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1841, decode.acc_seg: 92.4013, loss: 0.1841 +2023-03-04 05:15:52,605 - mmseg - INFO - Iter [63900/160000] lr: 1.875e-05, eta: 6:10:16, time: 0.191, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1877, decode.acc_seg: 92.3001, loss: 0.1877 +2023-03-04 05:16:02,327 - mmseg - INFO - Iter [63950/160000] lr: 1.875e-05, eta: 6:10:02, time: 0.194, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1948, decode.acc_seg: 91.6708, loss: 0.1948 +2023-03-04 05:16:12,014 - mmseg - INFO - Swap parameters (after train) after iter [64000] +2023-03-04 05:16:12,028 - mmseg - INFO - Saving checkpoint at 64000 iterations +2023-03-04 05:16:13,287 - mmseg - INFO - Exp name: ablation_segformer_mit_b2_segformer_head_unet_fc_small_multi_step_ade_pretrained_freeze_embed_160k_ade20k151_finetune_ema_cos.py +2023-03-04 05:16:13,288 - mmseg - INFO - Iter [64000/160000] lr: 1.875e-05, eta: 6:09:49, time: 0.219, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1920, decode.acc_seg: 92.0938, loss: 0.1920 +2023-03-04 05:27:14,099 - mmseg - INFO - per class results: +2023-03-04 05:27:14,108 - mmseg - INFO - ++---------------------+-------------------------------------------------------------------+ +| Class | IoU 0,10,20,30,40,50,60,70,80,90,99 | ++---------------------+-------------------------------------------------------------------+ +| background | nan,nan,nan,nan,nan,nan,nan,nan,nan,nan,nan | +| wall | 77.35,77.36,77.36,77.36,77.36,77.37,77.38,77.4,77.4,77.4,77.4 | +| building | 81.61,81.61,81.6,81.61,81.61,81.62,81.62,81.64,81.65,81.66,81.66 | +| sky | 94.44,94.44,94.44,94.44,94.44,94.44,94.45,94.44,94.45,94.45,94.45 | +| floor | 81.69,81.68,81.67,81.69,81.69,81.68,81.7,81.71,81.72,81.73,81.73 | +| tree | 74.39,74.4,74.39,74.4,74.4,74.4,74.42,74.42,74.45,74.47,74.45 | +| ceiling | 85.52,85.51,85.52,85.52,85.51,85.54,85.54,85.56,85.57,85.56,85.55 | +| road | 82.17,82.19,82.19,82.18,82.19,82.19,82.23,82.22,82.23,82.21,82.19 | +| bed | 87.7,87.71,87.69,87.72,87.72,87.69,87.72,87.72,87.71,87.72,87.72 | +| windowpane | 60.58,60.56,60.56,60.58,60.57,60.6,60.58,60.59,60.59,60.58,60.57 | +| grass | 66.98,66.98,66.97,66.99,66.98,67.0,67.01,67.04,67.09,67.13,67.15 | +| cabinet | 61.19,61.17,61.2,61.2,61.21,61.26,61.4,61.51,61.69,61.89,62.01 | +| sidewalk | 64.32,64.32,64.33,64.3,64.33,64.35,64.39,64.38,64.41,64.38,64.34 | +| person | 79.56,79.57,79.56,79.57,79.58,79.56,79.57,79.59,79.6,79.61,79.62 | +| earth | 35.33,35.36,35.36,35.33,35.38,35.4,35.39,35.4,35.41,35.41,35.38 | +| door | 45.81,45.78,45.83,45.8,45.82,45.79,45.81,45.83,45.81,45.78,45.76 | +| table | 61.0,60.99,60.98,60.98,60.99,61.05,61.04,61.15,61.23,61.26,61.3 | +| mountain | 56.75,56.8,56.81,56.81,56.8,56.81,56.88,56.85,56.91,57.02,57.1 | +| plant | 49.78,49.78,49.79,49.78,49.77,49.74,49.79,49.76,49.73,49.73,49.66 | +| curtain | 74.43,74.44,74.44,74.43,74.44,74.47,74.47,74.47,74.48,74.46,74.45 | +| chair | 56.39,56.42,56.39,56.39,56.4,56.42,56.44,56.45,56.47,56.49,56.46 | +| car | 82.04,82.03,82.01,82.03,82.05,82.04,82.06,82.1,82.11,82.15,82.16 | +| water | 57.26,57.23,57.25,57.23,57.24,57.24,57.27,57.3,57.29,57.35,57.42 | +| painting | 70.21,70.23,70.23,70.21,70.22,70.22,70.19,70.23,70.2,70.19,70.15 | +| sofa | 64.33,64.35,64.34,64.38,64.36,64.47,64.51,64.56,64.71,64.81,64.84 | +| shelf | 44.39,44.47,44.46,44.41,44.45,44.44,44.48,44.53,44.5,44.56,44.57 | +| house | 42.34,42.39,42.29,42.41,42.49,42.41,42.47,42.58,42.69,42.74,42.7 | +| sea | 60.33,60.3,60.3,60.28,60.29,60.31,60.31,60.35,60.33,60.33,60.33 | +| mirror | 66.13,66.29,66.25,66.3,66.33,66.24,66.39,66.52,66.7,66.84,66.83 | +| rug | 64.9,64.87,64.8,64.88,64.92,64.85,65.09,65.15,65.29,65.4,65.5 | +| field | 30.51,30.48,30.49,30.5,30.47,30.52,30.45,30.47,30.45,30.42,30.44 | +| armchair | 38.07,38.02,38.04,38.04,38.04,38.12,38.13,38.18,38.23,38.36,38.37 | +| seat | 66.74,66.75,66.75,66.74,66.78,66.8,66.82,66.94,66.94,66.98,67.05 | +| fence | 40.55,40.64,40.67,40.6,40.55,40.49,40.51,40.5,40.55,40.59,40.6 | +| desk | 47.7,47.7,47.64,47.68,47.7,47.81,47.86,47.99,48.01,48.12,48.28 | +| rock | 36.92,36.89,36.89,36.88,36.88,36.87,36.82,36.83,36.87,36.85,36.9 | +| wardrobe | 57.57,57.55,57.57,57.57,57.55,57.55,57.59,57.58,57.76,57.82,57.83 | +| lamp | 61.85,61.86,61.85,61.83,61.82,61.86,61.88,61.87,61.86,61.85,61.79 | +| bathtub | 76.49,76.49,76.44,76.51,76.6,76.49,76.59,76.49,76.55,76.7,76.71 | +| railing | 33.84,33.83,33.8,33.85,33.79,33.75,33.81,33.75,33.7,33.66,33.62 | +| cushion | 56.85,56.9,56.89,56.86,56.83,56.83,56.81,56.75,56.64,56.58,56.48 | +| base | 21.63,21.69,21.75,21.7,21.77,21.76,21.78,21.79,21.83,21.93,21.91 | +| box | 22.98,22.99,22.99,23.02,22.99,23.04,23.02,23.07,23.13,23.19,23.28 | +| column | 46.52,46.58,46.53,46.54,46.58,46.59,46.6,46.61,46.64,46.6,46.63 | +| signboard | 38.03,38.04,38.05,38.06,38.02,38.05,37.96,38.04,37.91,37.94,37.94 | +| chest of drawers | 36.05,36.0,36.11,36.05,36.01,36.07,36.25,36.18,36.23,36.31,36.25 | +| counter | 31.63,31.65,31.66,31.61,31.58,31.65,31.72,31.77,31.86,31.91,31.99 | +| sand | 42.6,42.6,42.55,42.63,42.59,42.61,42.71,42.7,42.82,42.89,42.99 | +| sink | 67.73,67.74,67.71,67.76,67.75,67.76,67.7,67.64,67.6,67.59,67.54 | +| skyscraper | 49.1,49.2,49.09,49.18,49.15,49.06,49.1,48.91,48.76,48.72,48.48 | +| fireplace | 74.69,74.65,74.78,74.7,74.7,74.85,75.03,75.18,75.27,75.48,75.64 | +| refrigerator | 74.32,74.38,74.41,74.48,74.43,74.56,74.64,75.01,75.17,75.22,75.11 | +| grandstand | 52.98,53.03,53.07,52.94,53.0,52.96,53.17,53.26,53.55,53.63,53.78 | +| path | 22.36,22.32,22.34,22.35,22.36,22.37,22.39,22.43,22.49,22.69,22.78 | +| stairs | 31.29,31.29,31.29,31.28,31.28,31.28,31.27,31.27,31.25,31.17,31.18 | +| runway | 67.56,67.62,67.58,67.6,67.6,67.65,67.68,67.71,67.78,67.84,67.84 | +| case | 49.15,49.19,49.16,49.17,49.18,49.13,49.18,49.27,49.24,49.28,49.33 | +| pool table | 91.99,91.98,92.0,92.01,92.0,92.0,92.01,92.02,92.06,92.05,92.09 | +| pillow | 60.4,60.33,60.36,60.44,60.3,60.23,60.25,59.95,59.86,59.74,59.52 | +| screen door | 68.42,68.48,68.48,68.4,68.52,68.51,68.49,68.68,68.58,68.1,67.8 | +| stairway | 23.92,23.96,23.94,23.96,23.94,24.07,24.02,24.04,24.09,24.12,24.24 | +| river | 11.94,11.93,11.94,11.94,11.95,11.93,11.94,11.93,11.92,11.9,11.86 | +| bridge | 31.36,31.42,31.33,31.46,31.45,31.42,31.41,31.4,31.35,31.38,31.35 | +| bookcase | 46.33,46.31,46.36,46.36,46.29,46.31,46.35,46.3,46.2,46.2,46.11 | +| blind | 38.96,39.02,38.91,39.02,39.09,38.97,39.06,39.06,39.11,39.22,39.23 | +| coffee table | 52.74,52.66,52.65,52.63,52.58,52.63,52.66,52.67,52.63,52.88,52.99 | +| toilet | 83.71,83.71,83.75,83.74,83.7,83.75,83.74,83.69,83.76,83.77,83.78 | +| flower | 38.5,38.52,38.57,38.49,38.54,38.53,38.55,38.48,38.5,38.48,38.44 | +| book | 45.42,45.41,45.39,45.39,45.38,45.41,45.4,45.37,45.37,45.3,45.39 | +| hill | 14.82,14.86,14.89,14.77,14.84,14.77,14.81,14.74,14.84,14.96,15.07 | +| bench | 43.09,43.08,43.16,43.16,43.03,43.12,43.16,43.03,42.96,42.88,42.86 | +| countertop | 55.32,55.34,55.36,55.29,55.47,55.43,55.27,55.27,55.16,55.14,55.06 | +| stove | 71.24,71.24,71.24,71.17,71.23,71.19,71.18,71.14,71.07,70.95,70.85 | +| palm | 47.83,47.9,47.84,47.93,47.87,47.78,47.78,47.83,47.81,47.81,47.8 | +| kitchen island | 44.56,44.58,44.44,44.48,44.52,44.63,44.66,44.64,44.55,44.8,44.91 | +| computer | 60.69,60.78,60.73,60.74,60.74,60.73,60.71,60.7,60.69,60.62,60.62 | +| swivel chair | 43.9,43.84,43.84,43.87,43.85,43.88,43.92,43.93,44.06,43.99,44.07 | +| boat | 73.17,73.24,73.2,73.22,73.22,73.21,73.16,73.19,73.23,73.07,73.13 | +| bar | 24.03,24.02,23.97,24.0,23.97,24.0,23.98,24.06,24.07,24.11,24.18 | +| arcade machine | 67.5,67.48,67.52,67.49,67.5,67.6,67.78,67.59,67.73,68.12,68.29 | +| hovel | 33.96,33.95,34.13,34.09,34.25,34.22,34.27,34.14,34.21,34.21,34.07 | +| bus | 78.9,78.91,78.87,78.86,78.85,78.84,78.81,78.79,78.79,78.65,78.6 | +| towel | 62.83,62.81,62.73,62.75,62.67,62.75,62.65,62.66,62.59,62.55,62.44 | +| light | 55.59,55.6,55.64,55.66,55.67,55.73,55.77,55.83,55.88,55.86,55.92 | +| truck | 19.18,19.14,19.07,19.09,19.19,19.11,19.19,19.16,19.23,19.34,19.42 | +| tower | 8.64,8.62,8.63,8.64,8.66,8.68,8.71,8.68,8.8,8.89,8.98 | +| chandelier | 63.66,63.66,63.65,63.63,63.71,63.68,63.72,63.71,63.85,63.83,63.88 | +| awning | 24.5,24.53,24.42,24.43,24.43,24.51,24.75,24.89,24.91,25.09,25.16 | +| streetlight | 26.94,27.01,26.94,26.91,26.91,27.04,27.02,27.08,27.0,26.98,26.92 | +| booth | 47.29,47.52,47.59,47.79,47.72,47.71,47.91,48.68,49.26,49.69,49.99 | +| television receiver | 63.48,63.46,63.53,63.48,63.41,63.49,63.54,63.53,63.55,63.7,63.71 | +| airplane | 59.87,59.85,59.78,59.83,59.8,59.8,59.83,59.74,59.7,59.71,59.65 | +| dirt track | 20.71,20.82,21.01,20.79,20.82,20.93,21.09,21.14,21.24,21.3,21.32 | +| apparel | 34.96,34.92,35.09,34.9,34.98,35.05,35.03,35.34,35.37,35.39,35.61 | +| pole | 19.55,19.49,19.55,19.5,19.56,19.67,19.5,19.29,19.24,19.12,18.86 | +| land | 3.82,3.83,3.77,3.8,3.86,3.8,3.83,3.83,3.83,3.89,3.97 | +| bannister | 12.73,12.86,12.82,12.82,12.83,13.0,12.85,12.85,12.97,12.87,13.05 | +| escalator | 24.29,24.28,24.22,24.33,24.29,24.29,24.31,24.38,24.4,24.47,24.61 | +| ottoman | 43.81,43.69,43.73,43.65,43.73,43.73,43.63,43.64,43.68,43.7,43.75 | +| bottle | 34.71,34.61,34.69,34.66,34.59,34.66,34.62,34.52,34.37,34.05,33.9 | +| buffet | 41.14,41.39,41.16,41.32,41.51,41.22,42.24,43.0,44.09,44.78,45.83 | +| poster | 23.1,23.15,23.22,23.16,23.14,23.26,23.13,23.18,23.08,23.09,23.15 | +| stage | 13.7,13.7,13.65,13.71,13.71,13.78,13.63,13.37,13.43,13.16,12.93 | +| van | 38.4,38.37,38.33,38.43,38.42,38.41,38.33,38.35,38.23,38.38,38.46 | +| ship | 82.43,82.59,82.54,82.57,82.58,82.82,82.94,83.2,83.43,83.57,83.96 | +| fountain | 20.16,20.17,20.14,20.26,20.17,20.23,20.54,20.61,20.81,21.22,21.51 | +| conveyer belt | 85.65,85.65,85.66,85.66,85.69,85.74,85.78,85.83,85.93,85.94,85.95 | +| canopy | 22.78,22.83,22.78,22.83,23.0,22.87,22.96,23.11,23.27,23.42,23.72 | +| washer | 74.37,74.49,74.53,74.29,74.52,74.46,74.33,74.58,74.69,74.7,74.74 | +| plaything | 20.52,20.51,20.52,20.52,20.5,20.51,20.47,20.45,20.39,20.28,20.13 | +| swimming pool | 74.16,74.34,74.14,74.11,74.1,74.24,74.57,74.87,75.44,75.5,75.3 | +| stool | 44.15,44.24,44.19,44.18,44.08,44.03,44.17,44.05,43.85,43.8,43.59 | +| barrel | 40.19,39.63,39.73,40.3,40.49,39.78,39.52,38.41,38.69,37.97,37.05 | +| basket | 23.82,23.88,23.85,23.81,23.82,23.85,23.84,23.72,23.69,23.68,23.63 | +| waterfall | 51.19,51.2,51.3,51.27,51.19,51.21,51.19,51.18,51.15,51.22,51.18 | +| tent | 94.83,94.76,94.79,94.82,94.77,94.79,94.82,94.78,94.8,94.78,94.79 | +| bag | 15.81,15.72,15.68,15.72,15.77,15.7,15.87,15.69,15.62,15.47,15.64 | +| minibike | 63.47,63.44,63.46,63.56,63.5,63.52,63.43,63.46,63.36,63.28,63.34 | +| cradle | 84.52,84.45,84.51,84.48,84.56,84.6,84.65,84.75,84.83,84.96,85.09 | +| oven | 49.19,49.19,49.19,49.14,49.25,49.22,49.11,49.26,49.15,48.96,48.87 | +| ball | 46.47,46.58,46.39,46.44,46.62,46.47,46.4,46.6,46.55,46.57,46.53 | +| food | 54.99,55.02,54.99,55.01,55.08,55.0,54.94,55.05,54.94,54.81,54.81 | +| step | 6.84,6.68,6.76,6.71,6.84,6.81,6.89,6.88,7.0,7.09,7.1 | +| tank | 50.23,50.14,50.24,50.27,50.23,50.17,50.22,50.21,50.1,50.18,50.11 | +| trade name | 27.7,27.85,27.78,27.9,27.77,27.79,27.76,27.82,27.72,27.73,27.61 | +| microwave | 73.05,73.05,73.08,73.16,73.1,73.05,73.22,73.29,73.4,73.38,73.5 | +| pot | 30.15,30.1,30.08,30.11,30.15,30.07,30.15,30.19,30.19,30.28,30.38 | +| animal | 54.09,54.07,54.11,54.07,54.12,54.07,54.1,54.07,53.96,53.88,53.89 | +| bicycle | 54.9,54.91,54.83,54.8,54.88,54.93,54.96,55.03,55.14,55.25,55.37 | +| lake | 57.53,57.58,57.59,57.55,57.57,57.61,57.65,57.7,57.78,57.86,57.97 | +| dishwasher | 63.98,63.99,63.98,63.91,63.8,63.89,63.96,63.78,63.76,63.76,63.72 | +| screen | 68.12,68.26,68.21,68.14,67.99,68.01,67.7,67.58,66.76,66.44,66.71 | +| blanket | 17.98,17.92,18.02,17.92,17.97,18.03,17.96,17.97,17.96,17.9,17.76 | +| sculpture | 57.26,57.47,57.49,57.33,57.44,57.51,57.3,57.38,57.46,57.49,57.4 | +| hood | 56.75,56.94,56.61,56.7,56.57,56.64,56.49,56.0,55.96,55.28,54.77 | +| sconce | 42.99,43.08,42.96,43.01,43.06,43.26,43.29,43.21,43.46,43.65,43.71 | +| vase | 37.5,37.52,37.48,37.56,37.54,37.57,37.51,37.68,37.72,37.77,37.89 | +| traffic light | 33.07,33.08,33.04,33.09,33.09,33.13,33.17,33.24,33.24,33.31,33.38 | +| tray | 8.12,8.08,8.1,8.18,8.02,8.08,8.06,8.15,8.12,8.14,8.16 | +| ashcan | 41.28,41.27,41.3,41.23,41.22,41.11,41.16,41.17,41.32,41.29,41.31 | +| fan | 57.56,57.43,57.43,57.46,57.52,57.6,57.48,57.45,57.51,57.44,57.35 | +| pier | 49.64,49.32,49.43,49.47,49.68,49.6,49.51,49.91,50.13,51.05,52.31 | +| crt screen | 10.25,10.28,10.3,10.31,10.32,10.31,10.29,10.31,10.32,10.29,10.33 | +| plate | 52.02,52.02,52.04,52.11,52.06,52.0,52.13,52.17,52.27,52.33,52.49 | +| monitor | 17.32,17.38,17.35,17.29,17.26,17.27,17.23,17.22,17.13,17.06,16.97 | +| bulletin board | 36.37,36.53,36.44,36.5,36.45,36.43,36.52,36.6,36.7,36.77,36.83 | +| shower | 1.46,1.43,1.43,1.56,1.41,1.39,1.48,1.4,1.46,1.4,1.39 | +| radiator | 59.48,59.4,59.75,59.66,59.64,59.85,60.25,60.49,61.31,62.38,63.13 | +| glass | 13.31,13.35,13.34,13.38,13.41,13.41,13.26,13.41,13.36,13.46,13.43 | +| clock | 35.47,35.37,35.49,35.52,35.55,35.53,35.55,35.68,35.48,35.55,35.33 | +| flag | 34.3,34.31,34.29,34.27,34.37,34.32,34.24,34.19,34.08,33.86,33.81 | ++---------------------+-------------------------------------------------------------------+ +2023-03-04 05:27:14,108 - mmseg - INFO - Summary: +2023-03-04 05:27:14,108 - mmseg - INFO - ++------------------------------------------------------------------+ +| mIoU 0,10,20,30,40,50,60,70,80,90,99 | ++------------------------------------------------------------------+ +| 48.65,48.66,48.66,48.66,48.67,48.68,48.7,48.73,48.76,48.79,48.81 | ++------------------------------------------------------------------+ +2023-03-04 05:27:14,144 - mmseg - INFO - The previous best checkpoint /mnt/petrelfs/laizeqiang/mmseg-baseline/work_dirs2/ablation_segformer_mit_b2_segformer_head_unet_fc_small_multi_step_ade_pretrained_freeze_embed_160k_ade20k151_finetune_ema_cos/best_mIoU_iter_48000.pth was removed +2023-03-04 05:27:15,188 - mmseg - INFO - Now best checkpoint is saved as best_mIoU_iter_64000.pth. +2023-03-04 05:27:15,189 - mmseg - INFO - Best mIoU is 0.4881 at 64000 iter. +2023-03-04 05:27:15,189 - mmseg - INFO - Exp name: ablation_segformer_mit_b2_segformer_head_unet_fc_small_multi_step_ade_pretrained_freeze_embed_160k_ade20k151_finetune_ema_cos.py +2023-03-04 05:27:15,189 - mmseg - INFO - Iter(val) [250] mIoU: [0.4865, 0.4866, 0.4866, 0.4866, 0.4867, 0.4868, 0.487, 0.4873, 0.4876, 0.4879, 0.4881], copy_paste: 48.65,48.66,48.66,48.66,48.67,48.68,48.7,48.73,48.76,48.79,48.81 +2023-03-04 05:27:15,196 - mmseg - INFO - Swap parameters (before train) before iter [64001] +2023-03-04 05:27:25,277 - mmseg - INFO - Iter [64050/160000] lr: 1.875e-05, eta: 6:26:07, time: 13.440, data_time: 13.246, memory: 52540, decode.loss_ce: 0.1889, decode.acc_seg: 92.3030, loss: 0.1889 +2023-03-04 05:27:35,141 - mmseg - INFO - Iter [64100/160000] lr: 1.875e-05, eta: 6:25:52, time: 0.197, data_time: 0.008, memory: 52540, decode.loss_ce: 0.1894, decode.acc_seg: 92.3285, loss: 0.1894 +2023-03-04 05:27:44,810 - mmseg - INFO - Iter [64150/160000] lr: 1.875e-05, eta: 6:25:36, time: 0.193, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1963, decode.acc_seg: 91.9807, loss: 0.1963 +2023-03-04 05:27:54,480 - mmseg - INFO - Iter [64200/160000] lr: 1.875e-05, eta: 6:25:20, time: 0.193, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1943, decode.acc_seg: 92.1448, loss: 0.1943 +2023-03-04 05:28:04,382 - mmseg - INFO - Iter [64250/160000] lr: 1.875e-05, eta: 6:25:05, time: 0.198, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1918, decode.acc_seg: 92.1519, loss: 0.1918 +2023-03-04 05:28:13,908 - mmseg - INFO - Iter [64300/160000] lr: 1.875e-05, eta: 6:24:49, time: 0.190, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1858, decode.acc_seg: 92.3893, loss: 0.1858 +2023-03-04 05:28:23,408 - mmseg - INFO - Iter [64350/160000] lr: 1.875e-05, eta: 6:24:33, time: 0.190, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1836, decode.acc_seg: 92.4499, loss: 0.1836 +2023-03-04 05:28:35,623 - mmseg - INFO - Iter [64400/160000] lr: 1.875e-05, eta: 6:24:22, time: 0.244, data_time: 0.058, memory: 52540, decode.loss_ce: 0.1988, decode.acc_seg: 91.8483, loss: 0.1988 +2023-03-04 05:28:45,537 - mmseg - INFO - Iter [64450/160000] lr: 1.875e-05, eta: 6:24:06, time: 0.198, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1893, decode.acc_seg: 92.2164, loss: 0.1893 +2023-03-04 05:28:55,250 - mmseg - INFO - Iter [64500/160000] lr: 1.875e-05, eta: 6:23:51, time: 0.194, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1827, decode.acc_seg: 92.4517, loss: 0.1827 +2023-03-04 05:29:04,769 - mmseg - INFO - Iter [64550/160000] lr: 1.875e-05, eta: 6:23:35, time: 0.190, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1944, decode.acc_seg: 91.9712, loss: 0.1944 +2023-03-04 05:29:14,555 - mmseg - INFO - Iter [64600/160000] lr: 1.875e-05, eta: 6:23:20, time: 0.196, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1973, decode.acc_seg: 91.9462, loss: 0.1973 +2023-03-04 05:29:24,295 - mmseg - INFO - Iter [64650/160000] lr: 1.875e-05, eta: 6:23:04, time: 0.195, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1887, decode.acc_seg: 92.2999, loss: 0.1887 +2023-03-04 05:29:33,909 - mmseg - INFO - Iter [64700/160000] lr: 1.875e-05, eta: 6:22:48, time: 0.192, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1862, decode.acc_seg: 92.3155, loss: 0.1862 +2023-03-04 05:29:43,881 - mmseg - INFO - Iter [64750/160000] lr: 1.875e-05, eta: 6:22:33, time: 0.199, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1947, decode.acc_seg: 92.0504, loss: 0.1947 +2023-03-04 05:29:53,369 - mmseg - INFO - Iter [64800/160000] lr: 1.875e-05, eta: 6:22:18, time: 0.190, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1968, decode.acc_seg: 91.9717, loss: 0.1968 +2023-03-04 05:30:03,319 - mmseg - INFO - Iter [64850/160000] lr: 1.875e-05, eta: 6:22:02, time: 0.199, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1856, decode.acc_seg: 92.3869, loss: 0.1856 +2023-03-04 05:30:12,913 - mmseg - INFO - Iter [64900/160000] lr: 1.875e-05, eta: 6:21:47, time: 0.192, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1877, decode.acc_seg: 92.2486, loss: 0.1877 +2023-03-04 05:30:22,436 - mmseg - INFO - Iter [64950/160000] lr: 1.875e-05, eta: 6:21:31, time: 0.190, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1940, decode.acc_seg: 91.9987, loss: 0.1940 +2023-03-04 05:30:34,558 - mmseg - INFO - Exp name: ablation_segformer_mit_b2_segformer_head_unet_fc_small_multi_step_ade_pretrained_freeze_embed_160k_ade20k151_finetune_ema_cos.py +2023-03-04 05:30:34,558 - mmseg - INFO - Iter [65000/160000] lr: 1.875e-05, eta: 6:21:19, time: 0.242, data_time: 0.054, memory: 52540, decode.loss_ce: 0.1849, decode.acc_seg: 92.3478, loss: 0.1849 +2023-03-04 05:30:44,667 - mmseg - INFO - Iter [65050/160000] lr: 1.875e-05, eta: 6:21:04, time: 0.202, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1844, decode.acc_seg: 92.4166, loss: 0.1844 +2023-03-04 05:30:54,461 - mmseg - INFO - Iter [65100/160000] lr: 1.875e-05, eta: 6:20:49, time: 0.196, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1857, decode.acc_seg: 92.3304, loss: 0.1857 +2023-03-04 05:31:04,085 - mmseg - INFO - Iter [65150/160000] lr: 1.875e-05, eta: 6:20:33, time: 0.192, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1930, decode.acc_seg: 92.1713, loss: 0.1930 +2023-03-04 05:31:13,730 - mmseg - INFO - Iter [65200/160000] lr: 1.875e-05, eta: 6:20:18, time: 0.193, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1914, decode.acc_seg: 92.0191, loss: 0.1914 +2023-03-04 05:31:23,187 - mmseg - INFO - Iter [65250/160000] lr: 1.875e-05, eta: 6:20:02, time: 0.189, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1821, decode.acc_seg: 92.4597, loss: 0.1821 +2023-03-04 05:31:32,832 - mmseg - INFO - Iter [65300/160000] lr: 1.875e-05, eta: 6:19:47, time: 0.193, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1913, decode.acc_seg: 92.0769, loss: 0.1913 +2023-03-04 05:31:42,735 - mmseg - INFO - Iter [65350/160000] lr: 1.875e-05, eta: 6:19:31, time: 0.198, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1930, decode.acc_seg: 92.1909, loss: 0.1930 +2023-03-04 05:31:52,766 - mmseg - INFO - Iter [65400/160000] lr: 1.875e-05, eta: 6:19:17, time: 0.201, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1949, decode.acc_seg: 91.9619, loss: 0.1949 +2023-03-04 05:32:02,748 - mmseg - INFO - Iter [65450/160000] lr: 1.875e-05, eta: 6:19:02, time: 0.200, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1857, decode.acc_seg: 92.2910, loss: 0.1857 +2023-03-04 05:32:12,362 - mmseg - INFO - Iter [65500/160000] lr: 1.875e-05, eta: 6:18:46, time: 0.192, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1902, decode.acc_seg: 92.0346, loss: 0.1902 +2023-03-04 05:32:22,012 - mmseg - INFO - Iter [65550/160000] lr: 1.875e-05, eta: 6:18:31, time: 0.193, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1885, decode.acc_seg: 92.3113, loss: 0.1885 +2023-03-04 05:32:31,594 - mmseg - INFO - Iter [65600/160000] lr: 1.875e-05, eta: 6:18:15, time: 0.192, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1935, decode.acc_seg: 92.0884, loss: 0.1935 +2023-03-04 05:32:43,813 - mmseg - INFO - Iter [65650/160000] lr: 1.875e-05, eta: 6:18:03, time: 0.244, data_time: 0.056, memory: 52540, decode.loss_ce: 0.1958, decode.acc_seg: 91.9515, loss: 0.1958 +2023-03-04 05:32:53,571 - mmseg - INFO - Iter [65700/160000] lr: 1.875e-05, eta: 6:17:48, time: 0.195, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1907, decode.acc_seg: 92.1874, loss: 0.1907 +2023-03-04 05:33:03,548 - mmseg - INFO - Iter [65750/160000] lr: 1.875e-05, eta: 6:17:33, time: 0.199, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1826, decode.acc_seg: 92.5127, loss: 0.1826 +2023-03-04 05:33:13,136 - mmseg - INFO - Iter [65800/160000] lr: 1.875e-05, eta: 6:17:18, time: 0.192, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1912, decode.acc_seg: 92.2672, loss: 0.1912 +2023-03-04 05:33:22,792 - mmseg - INFO - Iter [65850/160000] lr: 1.875e-05, eta: 6:17:02, time: 0.193, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1890, decode.acc_seg: 92.1840, loss: 0.1890 +2023-03-04 05:33:32,593 - mmseg - INFO - Iter [65900/160000] lr: 1.875e-05, eta: 6:16:47, time: 0.196, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1887, decode.acc_seg: 92.1196, loss: 0.1887 +2023-03-04 05:33:42,526 - mmseg - INFO - Iter [65950/160000] lr: 1.875e-05, eta: 6:16:32, time: 0.199, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1872, decode.acc_seg: 92.2682, loss: 0.1872 +2023-03-04 05:33:52,244 - mmseg - INFO - Exp name: ablation_segformer_mit_b2_segformer_head_unet_fc_small_multi_step_ade_pretrained_freeze_embed_160k_ade20k151_finetune_ema_cos.py +2023-03-04 05:33:52,245 - mmseg - INFO - Iter [66000/160000] lr: 1.875e-05, eta: 6:16:17, time: 0.194, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1914, decode.acc_seg: 92.1852, loss: 0.1914 +2023-03-04 05:34:01,905 - mmseg - INFO - Iter [66050/160000] lr: 1.875e-05, eta: 6:16:01, time: 0.193, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1853, decode.acc_seg: 92.3082, loss: 0.1853 +2023-03-04 05:34:11,763 - mmseg - INFO - Iter [66100/160000] lr: 1.875e-05, eta: 6:15:46, time: 0.197, data_time: 0.008, memory: 52540, decode.loss_ce: 0.1832, decode.acc_seg: 92.3234, loss: 0.1832 +2023-03-04 05:34:21,630 - mmseg - INFO - Iter [66150/160000] lr: 1.875e-05, eta: 6:15:31, time: 0.197, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1854, decode.acc_seg: 92.2804, loss: 0.1854 +2023-03-04 05:34:31,335 - mmseg - INFO - Iter [66200/160000] lr: 1.875e-05, eta: 6:15:16, time: 0.194, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1909, decode.acc_seg: 92.1893, loss: 0.1909 +2023-03-04 05:34:40,856 - mmseg - INFO - Iter [66250/160000] lr: 1.875e-05, eta: 6:15:01, time: 0.190, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1850, decode.acc_seg: 92.2063, loss: 0.1850 +2023-03-04 05:34:53,095 - mmseg - INFO - Iter [66300/160000] lr: 1.875e-05, eta: 6:14:49, time: 0.245, data_time: 0.055, memory: 52540, decode.loss_ce: 0.1833, decode.acc_seg: 92.5143, loss: 0.1833 +2023-03-04 05:35:02,899 - mmseg - INFO - Iter [66350/160000] lr: 1.875e-05, eta: 6:14:34, time: 0.196, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1811, decode.acc_seg: 92.4434, loss: 0.1811 +2023-03-04 05:35:12,685 - mmseg - INFO - Iter [66400/160000] lr: 1.875e-05, eta: 6:14:19, time: 0.196, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1856, decode.acc_seg: 92.2992, loss: 0.1856 +2023-03-04 05:35:22,208 - mmseg - INFO - Iter [66450/160000] lr: 1.875e-05, eta: 6:14:03, time: 0.190, data_time: 0.007, memory: 52540, decode.loss_ce: 0.2012, decode.acc_seg: 91.9417, loss: 0.2012 +2023-03-04 05:35:31,831 - mmseg - INFO - Iter [66500/160000] lr: 1.875e-05, eta: 6:13:48, time: 0.192, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1887, decode.acc_seg: 92.1180, loss: 0.1887 +2023-03-04 05:35:41,627 - mmseg - INFO - Iter [66550/160000] lr: 1.875e-05, eta: 6:13:33, time: 0.196, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1884, decode.acc_seg: 92.2289, loss: 0.1884 +2023-03-04 05:35:51,298 - mmseg - INFO - Iter [66600/160000] lr: 1.875e-05, eta: 6:13:18, time: 0.193, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1946, decode.acc_seg: 91.8933, loss: 0.1946 +2023-03-04 05:36:00,917 - mmseg - INFO - Iter [66650/160000] lr: 1.875e-05, eta: 6:13:02, time: 0.192, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1923, decode.acc_seg: 92.0065, loss: 0.1923 +2023-03-04 05:36:10,559 - mmseg - INFO - Iter [66700/160000] lr: 1.875e-05, eta: 6:12:47, time: 0.193, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1873, decode.acc_seg: 92.2464, loss: 0.1873 +2023-03-04 05:36:20,188 - mmseg - INFO - Iter [66750/160000] lr: 1.875e-05, eta: 6:12:32, time: 0.193, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1974, decode.acc_seg: 91.9124, loss: 0.1974 +2023-03-04 05:36:29,992 - mmseg - INFO - Iter [66800/160000] lr: 1.875e-05, eta: 6:12:17, time: 0.196, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1859, decode.acc_seg: 92.2612, loss: 0.1859 +2023-03-04 05:36:39,696 - mmseg - INFO - Iter [66850/160000] lr: 1.875e-05, eta: 6:12:02, time: 0.194, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1885, decode.acc_seg: 92.2722, loss: 0.1885 +2023-03-04 05:36:51,706 - mmseg - INFO - Iter [66900/160000] lr: 1.875e-05, eta: 6:11:50, time: 0.240, data_time: 0.054, memory: 52540, decode.loss_ce: 0.1905, decode.acc_seg: 92.0687, loss: 0.1905 +2023-03-04 05:37:01,370 - mmseg - INFO - Iter [66950/160000] lr: 1.875e-05, eta: 6:11:34, time: 0.193, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1878, decode.acc_seg: 92.2202, loss: 0.1878 +2023-03-04 05:37:11,058 - mmseg - INFO - Exp name: ablation_segformer_mit_b2_segformer_head_unet_fc_small_multi_step_ade_pretrained_freeze_embed_160k_ade20k151_finetune_ema_cos.py +2023-03-04 05:37:11,058 - mmseg - INFO - Iter [67000/160000] lr: 1.875e-05, eta: 6:11:19, time: 0.194, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1917, decode.acc_seg: 92.0617, loss: 0.1917 +2023-03-04 05:37:20,659 - mmseg - INFO - Iter [67050/160000] lr: 1.875e-05, eta: 6:11:04, time: 0.192, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1911, decode.acc_seg: 92.1621, loss: 0.1911 +2023-03-04 05:37:30,436 - mmseg - INFO - Iter [67100/160000] lr: 1.875e-05, eta: 6:10:49, time: 0.196, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1912, decode.acc_seg: 92.1287, loss: 0.1912 +2023-03-04 05:37:39,988 - mmseg - INFO - Iter [67150/160000] lr: 1.875e-05, eta: 6:10:34, time: 0.191, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1909, decode.acc_seg: 92.1649, loss: 0.1909 +2023-03-04 05:37:49,584 - mmseg - INFO - Iter [67200/160000] lr: 1.875e-05, eta: 6:10:18, time: 0.192, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1944, decode.acc_seg: 91.8864, loss: 0.1944 +2023-03-04 05:37:59,085 - mmseg - INFO - Iter [67250/160000] lr: 1.875e-05, eta: 6:10:03, time: 0.190, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1889, decode.acc_seg: 92.2476, loss: 0.1889 +2023-03-04 05:38:08,772 - mmseg - INFO - Iter [67300/160000] lr: 1.875e-05, eta: 6:09:48, time: 0.194, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1797, decode.acc_seg: 92.4736, loss: 0.1797 +2023-03-04 05:38:18,357 - mmseg - INFO - Iter [67350/160000] lr: 1.875e-05, eta: 6:09:33, time: 0.192, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1838, decode.acc_seg: 92.4019, loss: 0.1838 +2023-03-04 05:38:27,985 - mmseg - INFO - Iter [67400/160000] lr: 1.875e-05, eta: 6:09:17, time: 0.193, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1903, decode.acc_seg: 92.2496, loss: 0.1903 +2023-03-04 05:38:37,710 - mmseg - INFO - Iter [67450/160000] lr: 1.875e-05, eta: 6:09:02, time: 0.195, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1866, decode.acc_seg: 92.2934, loss: 0.1866 +2023-03-04 05:38:47,240 - mmseg - INFO - Iter [67500/160000] lr: 1.875e-05, eta: 6:08:47, time: 0.191, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1989, decode.acc_seg: 91.9108, loss: 0.1989 +2023-03-04 05:38:59,478 - mmseg - INFO - Iter [67550/160000] lr: 1.875e-05, eta: 6:08:35, time: 0.245, data_time: 0.056, memory: 52540, decode.loss_ce: 0.1920, decode.acc_seg: 92.0827, loss: 0.1920 +2023-03-04 05:39:09,095 - mmseg - INFO - Iter [67600/160000] lr: 1.875e-05, eta: 6:08:20, time: 0.192, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1865, decode.acc_seg: 92.3961, loss: 0.1865 +2023-03-04 05:39:19,135 - mmseg - INFO - Iter [67650/160000] lr: 1.875e-05, eta: 6:08:06, time: 0.201, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1933, decode.acc_seg: 92.0865, loss: 0.1933 +2023-03-04 05:39:28,852 - mmseg - INFO - Iter [67700/160000] lr: 1.875e-05, eta: 6:07:51, time: 0.194, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1879, decode.acc_seg: 92.2697, loss: 0.1879 +2023-03-04 05:39:38,562 - mmseg - INFO - Iter [67750/160000] lr: 1.875e-05, eta: 6:07:36, time: 0.194, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1855, decode.acc_seg: 92.4945, loss: 0.1855 +2023-03-04 05:39:48,180 - mmseg - INFO - Iter [67800/160000] lr: 1.875e-05, eta: 6:07:21, time: 0.192, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1901, decode.acc_seg: 92.0925, loss: 0.1901 +2023-03-04 05:39:57,690 - mmseg - INFO - Iter [67850/160000] lr: 1.875e-05, eta: 6:07:05, time: 0.190, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1890, decode.acc_seg: 92.1675, loss: 0.1890 +2023-03-04 05:40:07,531 - mmseg - INFO - Iter [67900/160000] lr: 1.875e-05, eta: 6:06:50, time: 0.197, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1948, decode.acc_seg: 91.9987, loss: 0.1948 +2023-03-04 05:40:17,110 - mmseg - INFO - Iter [67950/160000] lr: 1.875e-05, eta: 6:06:35, time: 0.192, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1911, decode.acc_seg: 92.1373, loss: 0.1911 +2023-03-04 05:40:26,719 - mmseg - INFO - Exp name: ablation_segformer_mit_b2_segformer_head_unet_fc_small_multi_step_ade_pretrained_freeze_embed_160k_ade20k151_finetune_ema_cos.py +2023-03-04 05:40:26,719 - mmseg - INFO - Iter [68000/160000] lr: 1.875e-05, eta: 6:06:20, time: 0.192, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1903, decode.acc_seg: 92.2756, loss: 0.1903 +2023-03-04 05:40:36,290 - mmseg - INFO - Iter [68050/160000] lr: 1.875e-05, eta: 6:06:05, time: 0.191, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1953, decode.acc_seg: 92.0790, loss: 0.1953 +2023-03-04 05:40:45,821 - mmseg - INFO - Iter [68100/160000] lr: 1.875e-05, eta: 6:05:50, time: 0.191, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1868, decode.acc_seg: 92.4304, loss: 0.1868 +2023-03-04 05:40:57,816 - mmseg - INFO - Iter [68150/160000] lr: 1.875e-05, eta: 6:05:38, time: 0.240, data_time: 0.054, memory: 52540, decode.loss_ce: 0.1970, decode.acc_seg: 91.7673, loss: 0.1970 +2023-03-04 05:41:07,426 - mmseg - INFO - Iter [68200/160000] lr: 1.875e-05, eta: 6:05:23, time: 0.192, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1917, decode.acc_seg: 92.0799, loss: 0.1917 +2023-03-04 05:41:17,354 - mmseg - INFO - Iter [68250/160000] lr: 1.875e-05, eta: 6:05:08, time: 0.199, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1881, decode.acc_seg: 92.4357, loss: 0.1881 +2023-03-04 05:41:27,076 - mmseg - INFO - Iter [68300/160000] lr: 1.875e-05, eta: 6:04:53, time: 0.194, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1929, decode.acc_seg: 92.1487, loss: 0.1929 +2023-03-04 05:41:36,692 - mmseg - INFO - Iter [68350/160000] lr: 1.875e-05, eta: 6:04:38, time: 0.192, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1916, decode.acc_seg: 92.1586, loss: 0.1916 +2023-03-04 05:41:46,391 - mmseg - INFO - Iter [68400/160000] lr: 1.875e-05, eta: 6:04:23, time: 0.194, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1990, decode.acc_seg: 91.7923, loss: 0.1990 +2023-03-04 05:41:56,017 - mmseg - INFO - Iter [68450/160000] lr: 1.875e-05, eta: 6:04:08, time: 0.192, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1868, decode.acc_seg: 92.2386, loss: 0.1868 +2023-03-04 05:42:05,781 - mmseg - INFO - Iter [68500/160000] lr: 1.875e-05, eta: 6:03:54, time: 0.196, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1868, decode.acc_seg: 92.2318, loss: 0.1868 +2023-03-04 05:42:15,323 - mmseg - INFO - Iter [68550/160000] lr: 1.875e-05, eta: 6:03:38, time: 0.191, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1900, decode.acc_seg: 92.2246, loss: 0.1900 +2023-03-04 05:42:25,082 - mmseg - INFO - Iter [68600/160000] lr: 1.875e-05, eta: 6:03:24, time: 0.195, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1911, decode.acc_seg: 92.1519, loss: 0.1911 +2023-03-04 05:42:34,672 - mmseg - INFO - Iter [68650/160000] lr: 1.875e-05, eta: 6:03:09, time: 0.192, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1878, decode.acc_seg: 92.2311, loss: 0.1878 +2023-03-04 05:42:44,213 - mmseg - INFO - Iter [68700/160000] lr: 1.875e-05, eta: 6:02:53, time: 0.191, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1933, decode.acc_seg: 92.0293, loss: 0.1933 +2023-03-04 05:42:53,872 - mmseg - INFO - Iter [68750/160000] lr: 1.875e-05, eta: 6:02:39, time: 0.193, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1949, decode.acc_seg: 92.0093, loss: 0.1949 +2023-03-04 05:43:06,278 - mmseg - INFO - Iter [68800/160000] lr: 1.875e-05, eta: 6:02:27, time: 0.248, data_time: 0.052, memory: 52540, decode.loss_ce: 0.1886, decode.acc_seg: 92.2245, loss: 0.1886 +2023-03-04 05:43:15,866 - mmseg - INFO - Iter [68850/160000] lr: 1.875e-05, eta: 6:02:12, time: 0.192, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1912, decode.acc_seg: 92.2626, loss: 0.1912 +2023-03-04 05:43:25,542 - mmseg - INFO - Iter [68900/160000] lr: 1.875e-05, eta: 6:01:57, time: 0.194, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1944, decode.acc_seg: 91.9797, loss: 0.1944 +2023-03-04 05:43:35,606 - mmseg - INFO - Iter [68950/160000] lr: 1.875e-05, eta: 6:01:43, time: 0.201, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1922, decode.acc_seg: 92.1356, loss: 0.1922 +2023-03-04 05:43:45,187 - mmseg - INFO - Exp name: ablation_segformer_mit_b2_segformer_head_unet_fc_small_multi_step_ade_pretrained_freeze_embed_160k_ade20k151_finetune_ema_cos.py +2023-03-04 05:43:45,187 - mmseg - INFO - Iter [69000/160000] lr: 1.875e-05, eta: 6:01:28, time: 0.192, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1813, decode.acc_seg: 92.5617, loss: 0.1813 +2023-03-04 05:43:54,782 - mmseg - INFO - Iter [69050/160000] lr: 1.875e-05, eta: 6:01:13, time: 0.192, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1874, decode.acc_seg: 92.2950, loss: 0.1874 +2023-03-04 05:44:04,360 - mmseg - INFO - Iter [69100/160000] lr: 1.875e-05, eta: 6:00:58, time: 0.192, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1918, decode.acc_seg: 92.1714, loss: 0.1918 +2023-03-04 05:44:14,025 - mmseg - INFO - Iter [69150/160000] lr: 1.875e-05, eta: 6:00:43, time: 0.193, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1883, decode.acc_seg: 92.1737, loss: 0.1883 +2023-03-04 05:44:23,886 - mmseg - INFO - Iter [69200/160000] lr: 1.875e-05, eta: 6:00:29, time: 0.197, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1920, decode.acc_seg: 92.0499, loss: 0.1920 +2023-03-04 05:44:33,398 - mmseg - INFO - Iter [69250/160000] lr: 1.875e-05, eta: 6:00:13, time: 0.190, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1912, decode.acc_seg: 92.1405, loss: 0.1912 +2023-03-04 05:44:42,967 - mmseg - INFO - Iter [69300/160000] lr: 1.875e-05, eta: 5:59:58, time: 0.191, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1850, decode.acc_seg: 92.3121, loss: 0.1850 +2023-03-04 05:44:52,576 - mmseg - INFO - Iter [69350/160000] lr: 1.875e-05, eta: 5:59:44, time: 0.192, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1944, decode.acc_seg: 91.8613, loss: 0.1944 +2023-03-04 05:45:02,175 - mmseg - INFO - Iter [69400/160000] lr: 1.875e-05, eta: 5:59:29, time: 0.192, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1902, decode.acc_seg: 92.2294, loss: 0.1902 +2023-03-04 05:45:14,219 - mmseg - INFO - Iter [69450/160000] lr: 1.875e-05, eta: 5:59:17, time: 0.241, data_time: 0.054, memory: 52540, decode.loss_ce: 0.1836, decode.acc_seg: 92.3489, loss: 0.1836 +2023-03-04 05:45:23,898 - mmseg - INFO - Iter [69500/160000] lr: 1.875e-05, eta: 5:59:02, time: 0.194, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1897, decode.acc_seg: 92.1990, loss: 0.1897 +2023-03-04 05:45:33,779 - mmseg - INFO - Iter [69550/160000] lr: 1.875e-05, eta: 5:58:48, time: 0.198, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1953, decode.acc_seg: 92.0927, loss: 0.1953 +2023-03-04 05:45:43,379 - mmseg - INFO - Iter [69600/160000] lr: 1.875e-05, eta: 5:58:33, time: 0.192, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1806, decode.acc_seg: 92.5301, loss: 0.1806 +2023-03-04 05:45:53,345 - mmseg - INFO - Iter [69650/160000] lr: 1.875e-05, eta: 5:58:18, time: 0.199, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1924, decode.acc_seg: 92.2294, loss: 0.1924 +2023-03-04 05:46:02,915 - mmseg - INFO - Iter [69700/160000] lr: 1.875e-05, eta: 5:58:03, time: 0.192, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1891, decode.acc_seg: 92.2710, loss: 0.1891 +2023-03-04 05:46:12,665 - mmseg - INFO - Iter [69750/160000] lr: 1.875e-05, eta: 5:57:49, time: 0.195, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1904, decode.acc_seg: 92.1926, loss: 0.1904 +2023-03-04 05:46:22,207 - mmseg - INFO - Iter [69800/160000] lr: 1.875e-05, eta: 5:57:34, time: 0.191, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1899, decode.acc_seg: 92.2047, loss: 0.1899 +2023-03-04 05:46:31,877 - mmseg - INFO - Iter [69850/160000] lr: 1.875e-05, eta: 5:57:19, time: 0.193, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1890, decode.acc_seg: 92.1268, loss: 0.1890 +2023-03-04 05:46:41,392 - mmseg - INFO - Iter [69900/160000] lr: 1.875e-05, eta: 5:57:04, time: 0.190, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1852, decode.acc_seg: 92.4776, loss: 0.1852 +2023-03-04 05:46:51,064 - mmseg - INFO - Iter [69950/160000] lr: 1.875e-05, eta: 5:56:49, time: 0.193, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1933, decode.acc_seg: 92.1362, loss: 0.1933 +2023-03-04 05:47:00,674 - mmseg - INFO - Exp name: ablation_segformer_mit_b2_segformer_head_unet_fc_small_multi_step_ade_pretrained_freeze_embed_160k_ade20k151_finetune_ema_cos.py +2023-03-04 05:47:00,674 - mmseg - INFO - Iter [70000/160000] lr: 1.875e-05, eta: 5:56:35, time: 0.192, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1902, decode.acc_seg: 92.1826, loss: 0.1902 +2023-03-04 05:47:12,831 - mmseg - INFO - Iter [70050/160000] lr: 1.875e-05, eta: 5:56:23, time: 0.243, data_time: 0.058, memory: 52540, decode.loss_ce: 0.1880, decode.acc_seg: 92.2908, loss: 0.1880 +2023-03-04 05:47:22,438 - mmseg - INFO - Iter [70100/160000] lr: 1.875e-05, eta: 5:56:08, time: 0.192, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1890, decode.acc_seg: 92.1493, loss: 0.1890 +2023-03-04 05:47:32,021 - mmseg - INFO - Iter [70150/160000] lr: 1.875e-05, eta: 5:55:53, time: 0.192, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1922, decode.acc_seg: 92.1865, loss: 0.1922 +2023-03-04 05:47:41,692 - mmseg - INFO - Iter [70200/160000] lr: 1.875e-05, eta: 5:55:39, time: 0.194, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1901, decode.acc_seg: 92.1540, loss: 0.1901 +2023-03-04 05:47:51,459 - mmseg - INFO - Iter [70250/160000] lr: 1.875e-05, eta: 5:55:24, time: 0.195, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1873, decode.acc_seg: 92.3232, loss: 0.1873 +2023-03-04 05:48:01,048 - mmseg - INFO - Iter [70300/160000] lr: 1.875e-05, eta: 5:55:09, time: 0.192, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1873, decode.acc_seg: 92.0946, loss: 0.1873 +2023-03-04 05:48:10,801 - mmseg - INFO - Iter [70350/160000] lr: 1.875e-05, eta: 5:54:55, time: 0.195, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1866, decode.acc_seg: 92.2942, loss: 0.1866 +2023-03-04 05:48:20,382 - mmseg - INFO - Iter [70400/160000] lr: 1.875e-05, eta: 5:54:40, time: 0.192, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1922, decode.acc_seg: 91.9584, loss: 0.1922 +2023-03-04 05:48:29,869 - mmseg - INFO - Iter [70450/160000] lr: 1.875e-05, eta: 5:54:25, time: 0.190, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1923, decode.acc_seg: 92.1708, loss: 0.1923 +2023-03-04 05:48:39,487 - mmseg - INFO - Iter [70500/160000] lr: 1.875e-05, eta: 5:54:10, time: 0.192, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1878, decode.acc_seg: 92.2521, loss: 0.1878 +2023-03-04 05:48:49,275 - mmseg - INFO - Iter [70550/160000] lr: 1.875e-05, eta: 5:53:56, time: 0.196, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1847, decode.acc_seg: 92.2824, loss: 0.1847 +2023-03-04 05:48:59,161 - mmseg - INFO - Iter [70600/160000] lr: 1.875e-05, eta: 5:53:41, time: 0.198, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1913, decode.acc_seg: 91.9816, loss: 0.1913 +2023-03-04 05:49:08,931 - mmseg - INFO - Iter [70650/160000] lr: 1.875e-05, eta: 5:53:27, time: 0.195, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1921, decode.acc_seg: 91.9387, loss: 0.1921 +2023-03-04 05:49:21,182 - mmseg - INFO - Iter [70700/160000] lr: 1.875e-05, eta: 5:53:15, time: 0.245, data_time: 0.055, memory: 52540, decode.loss_ce: 0.1875, decode.acc_seg: 92.3941, loss: 0.1875 +2023-03-04 05:49:30,723 - mmseg - INFO - Iter [70750/160000] lr: 1.875e-05, eta: 5:53:01, time: 0.191, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1823, decode.acc_seg: 92.4050, loss: 0.1823 +2023-03-04 05:49:40,339 - mmseg - INFO - Iter [70800/160000] lr: 1.875e-05, eta: 5:52:46, time: 0.192, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1836, decode.acc_seg: 92.2685, loss: 0.1836 +2023-03-04 05:49:50,347 - mmseg - INFO - Iter [70850/160000] lr: 1.875e-05, eta: 5:52:32, time: 0.200, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1896, decode.acc_seg: 92.2954, loss: 0.1896 +2023-03-04 05:49:59,885 - mmseg - INFO - Iter [70900/160000] lr: 1.875e-05, eta: 5:52:17, time: 0.191, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1901, decode.acc_seg: 92.2245, loss: 0.1901 +2023-03-04 05:50:09,538 - mmseg - INFO - Iter [70950/160000] lr: 1.875e-05, eta: 5:52:02, time: 0.193, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1840, decode.acc_seg: 92.4288, loss: 0.1840 +2023-03-04 05:50:19,305 - mmseg - INFO - Exp name: ablation_segformer_mit_b2_segformer_head_unet_fc_small_multi_step_ade_pretrained_freeze_embed_160k_ade20k151_finetune_ema_cos.py +2023-03-04 05:50:19,305 - mmseg - INFO - Iter [71000/160000] lr: 1.875e-05, eta: 5:51:48, time: 0.195, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1943, decode.acc_seg: 91.9047, loss: 0.1943 +2023-03-04 05:50:28,986 - mmseg - INFO - Iter [71050/160000] lr: 1.875e-05, eta: 5:51:33, time: 0.194, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1873, decode.acc_seg: 92.4506, loss: 0.1873 +2023-03-04 05:50:39,025 - mmseg - INFO - Iter [71100/160000] lr: 1.875e-05, eta: 5:51:19, time: 0.201, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1931, decode.acc_seg: 92.1246, loss: 0.1931 +2023-03-04 05:50:48,838 - mmseg - INFO - Iter [71150/160000] lr: 1.875e-05, eta: 5:51:05, time: 0.196, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1868, decode.acc_seg: 92.3093, loss: 0.1868 +2023-03-04 05:50:58,667 - mmseg - INFO - Iter [71200/160000] lr: 1.875e-05, eta: 5:50:50, time: 0.197, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1885, decode.acc_seg: 92.0730, loss: 0.1885 +2023-03-04 05:51:08,293 - mmseg - INFO - Iter [71250/160000] lr: 1.875e-05, eta: 5:50:36, time: 0.193, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1989, decode.acc_seg: 91.7193, loss: 0.1989 +2023-03-04 05:51:18,109 - mmseg - INFO - Iter [71300/160000] lr: 1.875e-05, eta: 5:50:21, time: 0.196, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1881, decode.acc_seg: 92.1962, loss: 0.1881 +2023-03-04 05:51:30,231 - mmseg - INFO - Iter [71350/160000] lr: 1.875e-05, eta: 5:50:10, time: 0.242, data_time: 0.054, memory: 52540, decode.loss_ce: 0.1892, decode.acc_seg: 92.2018, loss: 0.1892 +2023-03-04 05:51:39,861 - mmseg - INFO - Iter [71400/160000] lr: 1.875e-05, eta: 5:49:55, time: 0.193, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1866, decode.acc_seg: 92.3458, loss: 0.1866 +2023-03-04 05:51:49,355 - mmseg - INFO - Iter [71450/160000] lr: 1.875e-05, eta: 5:49:40, time: 0.190, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1831, decode.acc_seg: 92.2849, loss: 0.1831 +2023-03-04 05:51:59,142 - mmseg - INFO - Iter [71500/160000] lr: 1.875e-05, eta: 5:49:26, time: 0.195, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1895, decode.acc_seg: 92.2367, loss: 0.1895 +2023-03-04 05:52:08,809 - mmseg - INFO - Iter [71550/160000] lr: 1.875e-05, eta: 5:49:11, time: 0.194, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1913, decode.acc_seg: 92.1048, loss: 0.1913 +2023-03-04 05:52:18,450 - mmseg - INFO - Iter [71600/160000] lr: 1.875e-05, eta: 5:48:57, time: 0.193, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1914, decode.acc_seg: 92.0100, loss: 0.1914 +2023-03-04 05:52:27,942 - mmseg - INFO - Iter [71650/160000] lr: 1.875e-05, eta: 5:48:42, time: 0.190, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1823, decode.acc_seg: 92.5951, loss: 0.1823 +2023-03-04 05:52:37,701 - mmseg - INFO - Iter [71700/160000] lr: 1.875e-05, eta: 5:48:28, time: 0.195, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1869, decode.acc_seg: 92.2381, loss: 0.1869 +2023-03-04 05:52:47,692 - mmseg - INFO - Iter [71750/160000] lr: 1.875e-05, eta: 5:48:14, time: 0.200, data_time: 0.008, memory: 52540, decode.loss_ce: 0.1931, decode.acc_seg: 92.1025, loss: 0.1931 +2023-03-04 05:52:57,344 - mmseg - INFO - Iter [71800/160000] lr: 1.875e-05, eta: 5:47:59, time: 0.193, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1858, decode.acc_seg: 92.4271, loss: 0.1858 +2023-03-04 05:53:06,896 - mmseg - INFO - Iter [71850/160000] lr: 1.875e-05, eta: 5:47:44, time: 0.191, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1943, decode.acc_seg: 92.1551, loss: 0.1943 +2023-03-04 05:53:16,906 - mmseg - INFO - Iter [71900/160000] lr: 1.875e-05, eta: 5:47:30, time: 0.200, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1894, decode.acc_seg: 92.2398, loss: 0.1894 +2023-03-04 05:53:29,398 - mmseg - INFO - Iter [71950/160000] lr: 1.875e-05, eta: 5:47:19, time: 0.250, data_time: 0.056, memory: 52540, decode.loss_ce: 0.1984, decode.acc_seg: 91.8928, loss: 0.1984 +2023-03-04 05:53:39,328 - mmseg - INFO - Exp name: ablation_segformer_mit_b2_segformer_head_unet_fc_small_multi_step_ade_pretrained_freeze_embed_160k_ade20k151_finetune_ema_cos.py +2023-03-04 05:53:39,328 - mmseg - INFO - Iter [72000/160000] lr: 1.875e-05, eta: 5:47:05, time: 0.198, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1865, decode.acc_seg: 92.2988, loss: 0.1865 +2023-03-04 05:53:49,071 - mmseg - INFO - Iter [72050/160000] lr: 1.875e-05, eta: 5:46:51, time: 0.195, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1847, decode.acc_seg: 92.4029, loss: 0.1847 +2023-03-04 05:53:58,791 - mmseg - INFO - Iter [72100/160000] lr: 1.875e-05, eta: 5:46:36, time: 0.194, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1962, decode.acc_seg: 91.9418, loss: 0.1962 +2023-03-04 05:54:08,408 - mmseg - INFO - Iter [72150/160000] lr: 1.875e-05, eta: 5:46:22, time: 0.192, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1864, decode.acc_seg: 92.4131, loss: 0.1864 +2023-03-04 05:54:18,320 - mmseg - INFO - Iter [72200/160000] lr: 1.875e-05, eta: 5:46:08, time: 0.198, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1851, decode.acc_seg: 92.4422, loss: 0.1851 +2023-03-04 05:54:28,263 - mmseg - INFO - Iter [72250/160000] lr: 1.875e-05, eta: 5:45:54, time: 0.199, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1901, decode.acc_seg: 92.2703, loss: 0.1901 +2023-03-04 05:54:37,791 - mmseg - INFO - Iter [72300/160000] lr: 1.875e-05, eta: 5:45:39, time: 0.191, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1946, decode.acc_seg: 92.1218, loss: 0.1946 +2023-03-04 05:54:47,574 - mmseg - INFO - Iter [72350/160000] lr: 1.875e-05, eta: 5:45:25, time: 0.196, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1890, decode.acc_seg: 92.1622, loss: 0.1890 +2023-03-04 05:54:57,351 - mmseg - INFO - Iter [72400/160000] lr: 1.875e-05, eta: 5:45:10, time: 0.196, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1887, decode.acc_seg: 92.2083, loss: 0.1887 +2023-03-04 05:55:07,062 - mmseg - INFO - Iter [72450/160000] lr: 1.875e-05, eta: 5:44:56, time: 0.194, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1885, decode.acc_seg: 92.1744, loss: 0.1885 +2023-03-04 05:55:16,679 - mmseg - INFO - Iter [72500/160000] lr: 1.875e-05, eta: 5:44:42, time: 0.192, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1815, decode.acc_seg: 92.3870, loss: 0.1815 +2023-03-04 05:55:26,266 - mmseg - INFO - Iter [72550/160000] lr: 1.875e-05, eta: 5:44:27, time: 0.192, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1809, decode.acc_seg: 92.5839, loss: 0.1809 +2023-03-04 05:55:38,497 - mmseg - INFO - Iter [72600/160000] lr: 1.875e-05, eta: 5:44:16, time: 0.245, data_time: 0.053, memory: 52540, decode.loss_ce: 0.1894, decode.acc_seg: 92.3394, loss: 0.1894 +2023-03-04 05:55:48,416 - mmseg - INFO - Iter [72650/160000] lr: 1.875e-05, eta: 5:44:02, time: 0.198, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1829, decode.acc_seg: 92.4391, loss: 0.1829 +2023-03-04 05:55:58,212 - mmseg - INFO - Iter [72700/160000] lr: 1.875e-05, eta: 5:43:47, time: 0.196, data_time: 0.007, memory: 52540, decode.loss_ce: 0.2027, decode.acc_seg: 91.6496, loss: 0.2027 +2023-03-04 05:56:07,859 - mmseg - INFO - Iter [72750/160000] lr: 1.875e-05, eta: 5:43:33, time: 0.193, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1895, decode.acc_seg: 92.0936, loss: 0.1895 +2023-03-04 05:56:17,368 - mmseg - INFO - Iter [72800/160000] lr: 1.875e-05, eta: 5:43:18, time: 0.190, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1993, decode.acc_seg: 91.9700, loss: 0.1993 +2023-03-04 05:56:26,951 - mmseg - INFO - Iter [72850/160000] lr: 1.875e-05, eta: 5:43:04, time: 0.192, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1961, decode.acc_seg: 91.9747, loss: 0.1961 +2023-03-04 05:56:36,511 - mmseg - INFO - Iter [72900/160000] lr: 1.875e-05, eta: 5:42:49, time: 0.191, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1987, decode.acc_seg: 91.9919, loss: 0.1987 +2023-03-04 05:56:46,297 - mmseg - INFO - Iter [72950/160000] lr: 1.875e-05, eta: 5:42:35, time: 0.195, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1852, decode.acc_seg: 92.0906, loss: 0.1852 +2023-03-04 05:56:56,072 - mmseg - INFO - Exp name: ablation_segformer_mit_b2_segformer_head_unet_fc_small_multi_step_ade_pretrained_freeze_embed_160k_ade20k151_finetune_ema_cos.py +2023-03-04 05:56:56,072 - mmseg - INFO - Iter [73000/160000] lr: 1.875e-05, eta: 5:42:21, time: 0.196, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1875, decode.acc_seg: 92.1902, loss: 0.1875 +2023-03-04 05:57:05,738 - mmseg - INFO - Iter [73050/160000] lr: 1.875e-05, eta: 5:42:07, time: 0.193, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1931, decode.acc_seg: 92.1203, loss: 0.1931 +2023-03-04 05:57:15,653 - mmseg - INFO - Iter [73100/160000] lr: 1.875e-05, eta: 5:41:53, time: 0.198, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1811, decode.acc_seg: 92.5395, loss: 0.1811 +2023-03-04 05:57:25,480 - mmseg - INFO - Iter [73150/160000] lr: 1.875e-05, eta: 5:41:38, time: 0.197, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1890, decode.acc_seg: 92.3142, loss: 0.1890 +2023-03-04 05:57:37,806 - mmseg - INFO - Iter [73200/160000] lr: 1.875e-05, eta: 5:41:27, time: 0.247, data_time: 0.055, memory: 52540, decode.loss_ce: 0.1995, decode.acc_seg: 91.7651, loss: 0.1995 +2023-03-04 05:57:47,582 - mmseg - INFO - Iter [73250/160000] lr: 1.875e-05, eta: 5:41:13, time: 0.196, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1858, decode.acc_seg: 92.3047, loss: 0.1858 +2023-03-04 05:57:57,234 - mmseg - INFO - Iter [73300/160000] lr: 1.875e-05, eta: 5:40:59, time: 0.193, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1874, decode.acc_seg: 92.1990, loss: 0.1874 +2023-03-04 05:58:07,182 - mmseg - INFO - Iter [73350/160000] lr: 1.875e-05, eta: 5:40:45, time: 0.199, data_time: 0.008, memory: 52540, decode.loss_ce: 0.1820, decode.acc_seg: 92.4698, loss: 0.1820 +2023-03-04 05:58:16,978 - mmseg - INFO - Iter [73400/160000] lr: 1.875e-05, eta: 5:40:31, time: 0.196, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1929, decode.acc_seg: 92.1476, loss: 0.1929 +2023-03-04 05:58:26,539 - mmseg - INFO - Iter [73450/160000] lr: 1.875e-05, eta: 5:40:16, time: 0.191, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1911, decode.acc_seg: 92.1216, loss: 0.1911 +2023-03-04 05:58:36,507 - mmseg - INFO - Iter [73500/160000] lr: 1.875e-05, eta: 5:40:02, time: 0.199, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1923, decode.acc_seg: 91.9979, loss: 0.1923 +2023-03-04 05:58:46,181 - mmseg - INFO - Iter [73550/160000] lr: 1.875e-05, eta: 5:39:48, time: 0.194, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1956, decode.acc_seg: 91.9939, loss: 0.1956 +2023-03-04 05:58:55,935 - mmseg - INFO - Iter [73600/160000] lr: 1.875e-05, eta: 5:39:34, time: 0.195, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1899, decode.acc_seg: 92.2042, loss: 0.1899 +2023-03-04 05:59:05,678 - mmseg - INFO - Iter [73650/160000] lr: 1.875e-05, eta: 5:39:19, time: 0.195, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1852, decode.acc_seg: 92.4051, loss: 0.1852 +2023-03-04 05:59:15,398 - mmseg - INFO - Iter [73700/160000] lr: 1.875e-05, eta: 5:39:05, time: 0.195, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1843, decode.acc_seg: 92.2981, loss: 0.1843 +2023-03-04 05:59:25,186 - mmseg - INFO - Iter [73750/160000] lr: 1.875e-05, eta: 5:38:51, time: 0.196, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1901, decode.acc_seg: 92.0865, loss: 0.1901 +2023-03-04 05:59:34,886 - mmseg - INFO - Iter [73800/160000] lr: 1.875e-05, eta: 5:38:37, time: 0.194, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1961, decode.acc_seg: 91.9657, loss: 0.1961 +2023-03-04 05:59:46,935 - mmseg - INFO - Iter [73850/160000] lr: 1.875e-05, eta: 5:38:25, time: 0.241, data_time: 0.054, memory: 52540, decode.loss_ce: 0.1920, decode.acc_seg: 92.1898, loss: 0.1920 +2023-03-04 05:59:57,029 - mmseg - INFO - Iter [73900/160000] lr: 1.875e-05, eta: 5:38:12, time: 0.202, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1878, decode.acc_seg: 92.0158, loss: 0.1878 +2023-03-04 06:00:06,526 - mmseg - INFO - Iter [73950/160000] lr: 1.875e-05, eta: 5:37:57, time: 0.190, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1963, decode.acc_seg: 91.9311, loss: 0.1963 +2023-03-04 06:00:16,338 - mmseg - INFO - Exp name: ablation_segformer_mit_b2_segformer_head_unet_fc_small_multi_step_ade_pretrained_freeze_embed_160k_ade20k151_finetune_ema_cos.py +2023-03-04 06:00:16,338 - mmseg - INFO - Iter [74000/160000] lr: 1.875e-05, eta: 5:37:43, time: 0.196, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1808, decode.acc_seg: 92.4977, loss: 0.1808 +2023-03-04 06:00:25,967 - mmseg - INFO - Iter [74050/160000] lr: 1.875e-05, eta: 5:37:29, time: 0.193, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1844, decode.acc_seg: 92.2568, loss: 0.1844 +2023-03-04 06:00:35,480 - mmseg - INFO - Iter [74100/160000] lr: 1.875e-05, eta: 5:37:15, time: 0.190, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1905, decode.acc_seg: 92.1306, loss: 0.1905 +2023-03-04 06:00:45,149 - mmseg - INFO - Iter [74150/160000] lr: 1.875e-05, eta: 5:37:00, time: 0.193, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1848, decode.acc_seg: 92.4599, loss: 0.1848 +2023-03-04 06:00:54,982 - mmseg - INFO - Iter [74200/160000] lr: 1.875e-05, eta: 5:36:46, time: 0.197, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1868, decode.acc_seg: 92.3159, loss: 0.1868 +2023-03-04 06:01:04,841 - mmseg - INFO - Iter [74250/160000] lr: 1.875e-05, eta: 5:36:32, time: 0.197, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1816, decode.acc_seg: 92.4098, loss: 0.1816 +2023-03-04 06:01:14,431 - mmseg - INFO - Iter [74300/160000] lr: 1.875e-05, eta: 5:36:18, time: 0.192, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1907, decode.acc_seg: 92.1223, loss: 0.1907 +2023-03-04 06:01:24,008 - mmseg - INFO - Iter [74350/160000] lr: 1.875e-05, eta: 5:36:04, time: 0.192, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1927, decode.acc_seg: 92.0098, loss: 0.1927 +2023-03-04 06:01:34,014 - mmseg - INFO - Iter [74400/160000] lr: 1.875e-05, eta: 5:35:50, time: 0.200, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1877, decode.acc_seg: 92.3500, loss: 0.1877 +2023-03-04 06:01:43,894 - mmseg - INFO - Iter [74450/160000] lr: 1.875e-05, eta: 5:35:36, time: 0.198, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1840, decode.acc_seg: 92.5208, loss: 0.1840 +2023-03-04 06:01:56,031 - mmseg - INFO - Iter [74500/160000] lr: 1.875e-05, eta: 5:35:25, time: 0.243, data_time: 0.056, memory: 52540, decode.loss_ce: 0.1826, decode.acc_seg: 92.4514, loss: 0.1826 +2023-03-04 06:02:05,549 - mmseg - INFO - Iter [74550/160000] lr: 1.875e-05, eta: 5:35:10, time: 0.190, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1841, decode.acc_seg: 92.4075, loss: 0.1841 +2023-03-04 06:02:15,066 - mmseg - INFO - Iter [74600/160000] lr: 1.875e-05, eta: 5:34:56, time: 0.190, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1910, decode.acc_seg: 92.1634, loss: 0.1910 +2023-03-04 06:02:24,721 - mmseg - INFO - Iter [74650/160000] lr: 1.875e-05, eta: 5:34:42, time: 0.193, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1947, decode.acc_seg: 92.0666, loss: 0.1947 +2023-03-04 06:02:34,418 - mmseg - INFO - Iter [74700/160000] lr: 1.875e-05, eta: 5:34:28, time: 0.194, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1931, decode.acc_seg: 92.0166, loss: 0.1931 +2023-03-04 06:02:44,170 - mmseg - INFO - Iter [74750/160000] lr: 1.875e-05, eta: 5:34:14, time: 0.195, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1817, decode.acc_seg: 92.5618, loss: 0.1817 +2023-03-04 06:02:53,754 - mmseg - INFO - Iter [74800/160000] lr: 1.875e-05, eta: 5:33:59, time: 0.192, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1926, decode.acc_seg: 92.1944, loss: 0.1926 +2023-03-04 06:03:03,358 - mmseg - INFO - Iter [74850/160000] lr: 1.875e-05, eta: 5:33:45, time: 0.192, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1802, decode.acc_seg: 92.4296, loss: 0.1802 +2023-03-04 06:03:12,989 - mmseg - INFO - Iter [74900/160000] lr: 1.875e-05, eta: 5:33:31, time: 0.193, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1950, decode.acc_seg: 91.9023, loss: 0.1950 +2023-03-04 06:03:22,543 - mmseg - INFO - Iter [74950/160000] lr: 1.875e-05, eta: 5:33:17, time: 0.191, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1928, decode.acc_seg: 92.1928, loss: 0.1928 +2023-03-04 06:03:32,176 - mmseg - INFO - Exp name: ablation_segformer_mit_b2_segformer_head_unet_fc_small_multi_step_ade_pretrained_freeze_embed_160k_ade20k151_finetune_ema_cos.py +2023-03-04 06:03:32,177 - mmseg - INFO - Iter [75000/160000] lr: 1.875e-05, eta: 5:33:02, time: 0.193, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1940, decode.acc_seg: 92.1337, loss: 0.1940 +2023-03-04 06:03:41,914 - mmseg - INFO - Iter [75050/160000] lr: 1.875e-05, eta: 5:32:48, time: 0.195, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1883, decode.acc_seg: 92.0748, loss: 0.1883 +2023-03-04 06:03:54,068 - mmseg - INFO - Iter [75100/160000] lr: 1.875e-05, eta: 5:32:37, time: 0.243, data_time: 0.057, memory: 52540, decode.loss_ce: 0.1777, decode.acc_seg: 92.6546, loss: 0.1777 +2023-03-04 06:04:03,893 - mmseg - INFO - Iter [75150/160000] lr: 1.875e-05, eta: 5:32:23, time: 0.197, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1903, decode.acc_seg: 92.1207, loss: 0.1903 +2023-03-04 06:04:13,574 - mmseg - INFO - Iter [75200/160000] lr: 1.875e-05, eta: 5:32:09, time: 0.194, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1831, decode.acc_seg: 92.3218, loss: 0.1831 +2023-03-04 06:04:23,268 - mmseg - INFO - Iter [75250/160000] lr: 1.875e-05, eta: 5:31:55, time: 0.194, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1937, decode.acc_seg: 92.1161, loss: 0.1937 +2023-03-04 06:04:32,809 - mmseg - INFO - Iter [75300/160000] lr: 1.875e-05, eta: 5:31:41, time: 0.191, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1871, decode.acc_seg: 92.3586, loss: 0.1871 +2023-03-04 06:04:42,270 - mmseg - INFO - Iter [75350/160000] lr: 1.875e-05, eta: 5:31:26, time: 0.189, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1859, decode.acc_seg: 92.3187, loss: 0.1859 +2023-03-04 06:04:52,186 - mmseg - INFO - Iter [75400/160000] lr: 1.875e-05, eta: 5:31:13, time: 0.198, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1892, decode.acc_seg: 92.2340, loss: 0.1892 +2023-03-04 06:05:01,707 - mmseg - INFO - Iter [75450/160000] lr: 1.875e-05, eta: 5:30:58, time: 0.190, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1803, decode.acc_seg: 92.4810, loss: 0.1803 +2023-03-04 06:05:11,239 - mmseg - INFO - Iter [75500/160000] lr: 1.875e-05, eta: 5:30:44, time: 0.191, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1965, decode.acc_seg: 92.1266, loss: 0.1965 +2023-03-04 06:05:21,059 - mmseg - INFO - Iter [75550/160000] lr: 1.875e-05, eta: 5:30:30, time: 0.196, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1849, decode.acc_seg: 92.4395, loss: 0.1849 +2023-03-04 06:05:30,693 - mmseg - INFO - Iter [75600/160000] lr: 1.875e-05, eta: 5:30:16, time: 0.193, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1900, decode.acc_seg: 92.2853, loss: 0.1900 +2023-03-04 06:05:40,258 - mmseg - INFO - Iter [75650/160000] lr: 1.875e-05, eta: 5:30:02, time: 0.191, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1906, decode.acc_seg: 92.1122, loss: 0.1906 +2023-03-04 06:05:49,746 - mmseg - INFO - Iter [75700/160000] lr: 1.875e-05, eta: 5:29:48, time: 0.190, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1922, decode.acc_seg: 92.1678, loss: 0.1922 +2023-03-04 06:06:01,844 - mmseg - INFO - Iter [75750/160000] lr: 1.875e-05, eta: 5:29:36, time: 0.242, data_time: 0.054, memory: 52540, decode.loss_ce: 0.1895, decode.acc_seg: 92.3146, loss: 0.1895 +2023-03-04 06:06:11,982 - mmseg - INFO - Iter [75800/160000] lr: 1.875e-05, eta: 5:29:23, time: 0.203, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1886, decode.acc_seg: 92.1692, loss: 0.1886 +2023-03-04 06:06:21,603 - mmseg - INFO - Iter [75850/160000] lr: 1.875e-05, eta: 5:29:09, time: 0.192, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1987, decode.acc_seg: 91.8567, loss: 0.1987 +2023-03-04 06:06:31,171 - mmseg - INFO - Iter [75900/160000] lr: 1.875e-05, eta: 5:28:55, time: 0.191, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1853, decode.acc_seg: 92.2957, loss: 0.1853 +2023-03-04 06:06:41,124 - mmseg - INFO - Iter [75950/160000] lr: 1.875e-05, eta: 5:28:41, time: 0.199, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1876, decode.acc_seg: 92.2539, loss: 0.1876 +2023-03-04 06:06:50,860 - mmseg - INFO - Exp name: ablation_segformer_mit_b2_segformer_head_unet_fc_small_multi_step_ade_pretrained_freeze_embed_160k_ade20k151_finetune_ema_cos.py +2023-03-04 06:06:50,860 - mmseg - INFO - Iter [76000/160000] lr: 1.875e-05, eta: 5:28:27, time: 0.195, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1849, decode.acc_seg: 92.4002, loss: 0.1849 +2023-03-04 06:07:00,597 - mmseg - INFO - Iter [76050/160000] lr: 1.875e-05, eta: 5:28:13, time: 0.195, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1865, decode.acc_seg: 92.4380, loss: 0.1865 +2023-03-04 06:07:10,281 - mmseg - INFO - Iter [76100/160000] lr: 1.875e-05, eta: 5:27:59, time: 0.193, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1952, decode.acc_seg: 92.0917, loss: 0.1952 +2023-03-04 06:07:20,001 - mmseg - INFO - Iter [76150/160000] lr: 1.875e-05, eta: 5:27:45, time: 0.195, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1953, decode.acc_seg: 91.9370, loss: 0.1953 +2023-03-04 06:07:29,725 - mmseg - INFO - Iter [76200/160000] lr: 1.875e-05, eta: 5:27:31, time: 0.194, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1836, decode.acc_seg: 92.5075, loss: 0.1836 +2023-03-04 06:07:39,196 - mmseg - INFO - Iter [76250/160000] lr: 1.875e-05, eta: 5:27:17, time: 0.189, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1864, decode.acc_seg: 92.3084, loss: 0.1864 +2023-03-04 06:07:48,679 - mmseg - INFO - Iter [76300/160000] lr: 1.875e-05, eta: 5:27:03, time: 0.190, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1991, decode.acc_seg: 91.9297, loss: 0.1991 +2023-03-04 06:07:58,329 - mmseg - INFO - Iter [76350/160000] lr: 1.875e-05, eta: 5:26:49, time: 0.193, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1882, decode.acc_seg: 92.1545, loss: 0.1882 +2023-03-04 06:08:10,758 - mmseg - INFO - Iter [76400/160000] lr: 1.875e-05, eta: 5:26:38, time: 0.249, data_time: 0.054, memory: 52540, decode.loss_ce: 0.1892, decode.acc_seg: 92.1679, loss: 0.1892 +2023-03-04 06:08:20,395 - mmseg - INFO - Iter [76450/160000] lr: 1.875e-05, eta: 5:26:24, time: 0.193, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1918, decode.acc_seg: 92.1729, loss: 0.1918 +2023-03-04 06:08:29,950 - mmseg - INFO - Iter [76500/160000] lr: 1.875e-05, eta: 5:26:10, time: 0.191, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1876, decode.acc_seg: 92.4142, loss: 0.1876 +2023-03-04 06:08:39,605 - mmseg - INFO - Iter [76550/160000] lr: 1.875e-05, eta: 5:25:56, time: 0.193, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1869, decode.acc_seg: 92.2476, loss: 0.1869 +2023-03-04 06:08:49,146 - mmseg - INFO - Iter [76600/160000] lr: 1.875e-05, eta: 5:25:42, time: 0.191, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1853, decode.acc_seg: 92.2749, loss: 0.1853 +2023-03-04 06:08:58,985 - mmseg - INFO - Iter [76650/160000] lr: 1.875e-05, eta: 5:25:28, time: 0.197, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1830, decode.acc_seg: 92.5663, loss: 0.1830 +2023-03-04 06:09:08,850 - mmseg - INFO - Iter [76700/160000] lr: 1.875e-05, eta: 5:25:14, time: 0.197, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1892, decode.acc_seg: 92.1947, loss: 0.1892 +2023-03-04 06:09:18,751 - mmseg - INFO - Iter [76750/160000] lr: 1.875e-05, eta: 5:25:01, time: 0.198, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1961, decode.acc_seg: 91.9055, loss: 0.1961 +2023-03-04 06:09:28,248 - mmseg - INFO - Iter [76800/160000] lr: 1.875e-05, eta: 5:24:47, time: 0.190, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1962, decode.acc_seg: 91.9251, loss: 0.1962 +2023-03-04 06:09:37,974 - mmseg - INFO - Iter [76850/160000] lr: 1.875e-05, eta: 5:24:33, time: 0.195, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1839, decode.acc_seg: 92.3712, loss: 0.1839 +2023-03-04 06:09:47,597 - mmseg - INFO - Iter [76900/160000] lr: 1.875e-05, eta: 5:24:19, time: 0.192, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1823, decode.acc_seg: 92.4982, loss: 0.1823 +2023-03-04 06:09:57,272 - mmseg - INFO - Iter [76950/160000] lr: 1.875e-05, eta: 5:24:05, time: 0.193, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1882, decode.acc_seg: 92.1306, loss: 0.1882 +2023-03-04 06:10:09,437 - mmseg - INFO - Exp name: ablation_segformer_mit_b2_segformer_head_unet_fc_small_multi_step_ade_pretrained_freeze_embed_160k_ade20k151_finetune_ema_cos.py +2023-03-04 06:10:09,438 - mmseg - INFO - Iter [77000/160000] lr: 1.875e-05, eta: 5:23:54, time: 0.243, data_time: 0.053, memory: 52540, decode.loss_ce: 0.1816, decode.acc_seg: 92.4321, loss: 0.1816 +2023-03-04 06:10:19,080 - mmseg - INFO - Iter [77050/160000] lr: 1.875e-05, eta: 5:23:40, time: 0.193, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1914, decode.acc_seg: 92.1394, loss: 0.1914 +2023-03-04 06:10:28,834 - mmseg - INFO - Iter [77100/160000] lr: 1.875e-05, eta: 5:23:26, time: 0.195, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1913, decode.acc_seg: 92.2021, loss: 0.1913 +2023-03-04 06:10:38,665 - mmseg - INFO - Iter [77150/160000] lr: 1.875e-05, eta: 5:23:12, time: 0.197, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1930, decode.acc_seg: 92.0349, loss: 0.1930 +2023-03-04 06:10:48,241 - mmseg - INFO - Iter [77200/160000] lr: 1.875e-05, eta: 5:22:58, time: 0.192, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1917, decode.acc_seg: 92.0423, loss: 0.1917 +2023-03-04 06:10:58,011 - mmseg - INFO - Iter [77250/160000] lr: 1.875e-05, eta: 5:22:44, time: 0.195, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1913, decode.acc_seg: 92.0941, loss: 0.1913 +2023-03-04 06:11:07,792 - mmseg - INFO - Iter [77300/160000] lr: 1.875e-05, eta: 5:22:31, time: 0.196, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1863, decode.acc_seg: 92.4173, loss: 0.1863 +2023-03-04 06:11:17,513 - mmseg - INFO - Iter [77350/160000] lr: 1.875e-05, eta: 5:22:17, time: 0.194, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1872, decode.acc_seg: 92.3471, loss: 0.1872 +2023-03-04 06:11:27,287 - mmseg - INFO - Iter [77400/160000] lr: 1.875e-05, eta: 5:22:03, time: 0.195, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1897, decode.acc_seg: 92.1581, loss: 0.1897 +2023-03-04 06:11:37,064 - mmseg - INFO - Iter [77450/160000] lr: 1.875e-05, eta: 5:21:49, time: 0.195, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1853, decode.acc_seg: 92.3293, loss: 0.1853 +2023-03-04 06:11:46,730 - mmseg - INFO - Iter [77500/160000] lr: 1.875e-05, eta: 5:21:36, time: 0.194, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1839, decode.acc_seg: 92.4695, loss: 0.1839 +2023-03-04 06:11:56,350 - mmseg - INFO - Iter [77550/160000] lr: 1.875e-05, eta: 5:21:22, time: 0.192, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1961, decode.acc_seg: 92.0842, loss: 0.1961 +2023-03-04 06:12:05,967 - mmseg - INFO - Iter [77600/160000] lr: 1.875e-05, eta: 5:21:08, time: 0.192, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1838, decode.acc_seg: 92.3937, loss: 0.1838 +2023-03-04 06:12:18,110 - mmseg - INFO - Iter [77650/160000] lr: 1.875e-05, eta: 5:20:57, time: 0.243, data_time: 0.054, memory: 52540, decode.loss_ce: 0.1846, decode.acc_seg: 92.3363, loss: 0.1846 +2023-03-04 06:12:27,850 - mmseg - INFO - Iter [77700/160000] lr: 1.875e-05, eta: 5:20:43, time: 0.195, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1853, decode.acc_seg: 92.5181, loss: 0.1853 +2023-03-04 06:12:37,324 - mmseg - INFO - Iter [77750/160000] lr: 1.875e-05, eta: 5:20:29, time: 0.189, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1896, decode.acc_seg: 92.0913, loss: 0.1896 +2023-03-04 06:12:46,849 - mmseg - INFO - Iter [77800/160000] lr: 1.875e-05, eta: 5:20:15, time: 0.190, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1861, decode.acc_seg: 92.4045, loss: 0.1861 +2023-03-04 06:12:56,796 - mmseg - INFO - Iter [77850/160000] lr: 1.875e-05, eta: 5:20:01, time: 0.199, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1985, decode.acc_seg: 91.7267, loss: 0.1985 +2023-03-04 06:13:06,545 - mmseg - INFO - Iter [77900/160000] lr: 1.875e-05, eta: 5:19:47, time: 0.195, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1877, decode.acc_seg: 92.1936, loss: 0.1877 +2023-03-04 06:13:16,218 - mmseg - INFO - Iter [77950/160000] lr: 1.875e-05, eta: 5:19:34, time: 0.193, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1981, decode.acc_seg: 91.8677, loss: 0.1981 +2023-03-04 06:13:26,370 - mmseg - INFO - Exp name: ablation_segformer_mit_b2_segformer_head_unet_fc_small_multi_step_ade_pretrained_freeze_embed_160k_ade20k151_finetune_ema_cos.py +2023-03-04 06:13:26,371 - mmseg - INFO - Iter [78000/160000] lr: 1.875e-05, eta: 5:19:20, time: 0.203, data_time: 0.008, memory: 52540, decode.loss_ce: 0.1897, decode.acc_seg: 92.3172, loss: 0.1897 +2023-03-04 06:13:36,252 - mmseg - INFO - Iter [78050/160000] lr: 1.875e-05, eta: 5:19:07, time: 0.198, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1877, decode.acc_seg: 92.3105, loss: 0.1877 +2023-03-04 06:13:46,187 - mmseg - INFO - Iter [78100/160000] lr: 1.875e-05, eta: 5:18:53, time: 0.199, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1885, decode.acc_seg: 92.2526, loss: 0.1885 +2023-03-04 06:13:55,682 - mmseg - INFO - Iter [78150/160000] lr: 1.875e-05, eta: 5:18:39, time: 0.190, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1833, decode.acc_seg: 92.5437, loss: 0.1833 +2023-03-04 06:14:05,483 - mmseg - INFO - Iter [78200/160000] lr: 1.875e-05, eta: 5:18:26, time: 0.196, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1958, decode.acc_seg: 91.8859, loss: 0.1958 +2023-03-04 06:14:17,591 - mmseg - INFO - Iter [78250/160000] lr: 1.875e-05, eta: 5:18:14, time: 0.242, data_time: 0.053, memory: 52540, decode.loss_ce: 0.1924, decode.acc_seg: 92.0249, loss: 0.1924 +2023-03-04 06:14:27,271 - mmseg - INFO - Iter [78300/160000] lr: 1.875e-05, eta: 5:18:01, time: 0.194, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1886, decode.acc_seg: 92.2778, loss: 0.1886 +2023-03-04 06:14:37,159 - mmseg - INFO - Iter [78350/160000] lr: 1.875e-05, eta: 5:17:47, time: 0.198, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1908, decode.acc_seg: 92.2508, loss: 0.1908 +2023-03-04 06:14:46,862 - mmseg - INFO - Iter [78400/160000] lr: 1.875e-05, eta: 5:17:33, time: 0.194, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1832, decode.acc_seg: 92.5136, loss: 0.1832 +2023-03-04 06:14:56,485 - mmseg - INFO - Iter [78450/160000] lr: 1.875e-05, eta: 5:17:20, time: 0.192, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1866, decode.acc_seg: 92.4338, loss: 0.1866 +2023-03-04 06:15:05,953 - mmseg - INFO - Iter [78500/160000] lr: 1.875e-05, eta: 5:17:06, time: 0.189, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1905, decode.acc_seg: 92.1378, loss: 0.1905 +2023-03-04 06:15:15,549 - mmseg - INFO - Iter [78550/160000] lr: 1.875e-05, eta: 5:16:52, time: 0.192, data_time: 0.007, memory: 52540, decode.loss_ce: 0.2019, decode.acc_seg: 91.8503, loss: 0.2019 +2023-03-04 06:15:25,111 - mmseg - INFO - Iter [78600/160000] lr: 1.875e-05, eta: 5:16:38, time: 0.191, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1846, decode.acc_seg: 92.2932, loss: 0.1846 +2023-03-04 06:15:35,340 - mmseg - INFO - Iter [78650/160000] lr: 1.875e-05, eta: 5:16:25, time: 0.205, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1895, decode.acc_seg: 92.2681, loss: 0.1895 +2023-03-04 06:15:45,224 - mmseg - INFO - Iter [78700/160000] lr: 1.875e-05, eta: 5:16:11, time: 0.197, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1782, decode.acc_seg: 92.6445, loss: 0.1782 +2023-03-04 06:15:55,032 - mmseg - INFO - Iter [78750/160000] lr: 1.875e-05, eta: 5:15:58, time: 0.196, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1889, decode.acc_seg: 92.2590, loss: 0.1889 +2023-03-04 06:16:04,603 - mmseg - INFO - Iter [78800/160000] lr: 1.875e-05, eta: 5:15:44, time: 0.191, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1922, decode.acc_seg: 92.2526, loss: 0.1922 +2023-03-04 06:16:14,207 - mmseg - INFO - Iter [78850/160000] lr: 1.875e-05, eta: 5:15:30, time: 0.192, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1847, decode.acc_seg: 92.3088, loss: 0.1847 +2023-03-04 06:16:26,546 - mmseg - INFO - Iter [78900/160000] lr: 1.875e-05, eta: 5:15:19, time: 0.247, data_time: 0.052, memory: 52540, decode.loss_ce: 0.1965, decode.acc_seg: 92.0576, loss: 0.1965 +2023-03-04 06:16:36,027 - mmseg - INFO - Iter [78950/160000] lr: 1.875e-05, eta: 5:15:05, time: 0.190, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1881, decode.acc_seg: 92.2472, loss: 0.1881 +2023-03-04 06:16:45,592 - mmseg - INFO - Exp name: ablation_segformer_mit_b2_segformer_head_unet_fc_small_multi_step_ade_pretrained_freeze_embed_160k_ade20k151_finetune_ema_cos.py +2023-03-04 06:16:45,592 - mmseg - INFO - Iter [79000/160000] lr: 1.875e-05, eta: 5:14:51, time: 0.191, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1918, decode.acc_seg: 92.1548, loss: 0.1918 +2023-03-04 06:16:55,182 - mmseg - INFO - Iter [79050/160000] lr: 1.875e-05, eta: 5:14:38, time: 0.192, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1798, decode.acc_seg: 92.5387, loss: 0.1798 +2023-03-04 06:17:04,646 - mmseg - INFO - Iter [79100/160000] lr: 1.875e-05, eta: 5:14:24, time: 0.189, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1973, decode.acc_seg: 91.8203, loss: 0.1973 +2023-03-04 06:17:14,547 - mmseg - INFO - Iter [79150/160000] lr: 1.875e-05, eta: 5:14:10, time: 0.198, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1899, decode.acc_seg: 92.2730, loss: 0.1899 +2023-03-04 06:17:24,383 - mmseg - INFO - Iter [79200/160000] lr: 1.875e-05, eta: 5:13:57, time: 0.196, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1983, decode.acc_seg: 92.0383, loss: 0.1983 +2023-03-04 06:17:33,916 - mmseg - INFO - Iter [79250/160000] lr: 1.875e-05, eta: 5:13:43, time: 0.191, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1843, decode.acc_seg: 92.4470, loss: 0.1843 +2023-03-04 06:17:43,360 - mmseg - INFO - Iter [79300/160000] lr: 1.875e-05, eta: 5:13:29, time: 0.189, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1891, decode.acc_seg: 92.1456, loss: 0.1891 +2023-03-04 06:17:53,044 - mmseg - INFO - Iter [79350/160000] lr: 1.875e-05, eta: 5:13:15, time: 0.194, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1892, decode.acc_seg: 92.1526, loss: 0.1892 +2023-03-04 06:18:02,748 - mmseg - INFO - Iter [79400/160000] lr: 1.875e-05, eta: 5:13:02, time: 0.194, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1810, decode.acc_seg: 92.4244, loss: 0.1810 +2023-03-04 06:18:12,780 - mmseg - INFO - Iter [79450/160000] lr: 1.875e-05, eta: 5:12:48, time: 0.201, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1975, decode.acc_seg: 91.8469, loss: 0.1975 +2023-03-04 06:18:22,282 - mmseg - INFO - Iter [79500/160000] lr: 1.875e-05, eta: 5:12:35, time: 0.190, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1871, decode.acc_seg: 92.3017, loss: 0.1871 +2023-03-04 06:18:34,540 - mmseg - INFO - Iter [79550/160000] lr: 1.875e-05, eta: 5:12:24, time: 0.245, data_time: 0.055, memory: 52540, decode.loss_ce: 0.1843, decode.acc_seg: 92.4381, loss: 0.1843 +2023-03-04 06:18:44,061 - mmseg - INFO - Iter [79600/160000] lr: 1.875e-05, eta: 5:12:10, time: 0.190, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1841, decode.acc_seg: 92.3047, loss: 0.1841 +2023-03-04 06:18:53,857 - mmseg - INFO - Iter [79650/160000] lr: 1.875e-05, eta: 5:11:56, time: 0.196, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1953, decode.acc_seg: 92.0586, loss: 0.1953 +2023-03-04 06:19:03,415 - mmseg - INFO - Iter [79700/160000] lr: 1.875e-05, eta: 5:11:42, time: 0.191, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1895, decode.acc_seg: 92.2153, loss: 0.1895 +2023-03-04 06:19:13,044 - mmseg - INFO - Iter [79750/160000] lr: 1.875e-05, eta: 5:11:29, time: 0.193, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1815, decode.acc_seg: 92.5733, loss: 0.1815 +2023-03-04 06:19:22,681 - mmseg - INFO - Iter [79800/160000] lr: 1.875e-05, eta: 5:11:15, time: 0.193, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1927, decode.acc_seg: 92.0690, loss: 0.1927 +2023-03-04 06:19:32,360 - mmseg - INFO - Iter [79850/160000] lr: 1.875e-05, eta: 5:11:02, time: 0.193, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1940, decode.acc_seg: 92.0689, loss: 0.1940 +2023-03-04 06:19:42,180 - mmseg - INFO - Iter [79900/160000] lr: 1.875e-05, eta: 5:10:48, time: 0.197, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1966, decode.acc_seg: 91.9411, loss: 0.1966 +2023-03-04 06:19:51,680 - mmseg - INFO - Iter [79950/160000] lr: 1.875e-05, eta: 5:10:34, time: 0.190, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1907, decode.acc_seg: 92.0918, loss: 0.1907 +2023-03-04 06:20:01,379 - mmseg - INFO - Swap parameters (after train) after iter [80000] +2023-03-04 06:20:01,392 - mmseg - INFO - Saving checkpoint at 80000 iterations +2023-03-04 06:20:02,502 - mmseg - INFO - Exp name: ablation_segformer_mit_b2_segformer_head_unet_fc_small_multi_step_ade_pretrained_freeze_embed_160k_ade20k151_finetune_ema_cos.py +2023-03-04 06:20:02,503 - mmseg - INFO - Iter [80000/160000] lr: 1.875e-05, eta: 5:10:22, time: 0.216, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1869, decode.acc_seg: 92.3167, loss: 0.1869 +2023-03-04 06:31:03,959 - mmseg - INFO - per class results: +2023-03-04 06:31:03,968 - mmseg - INFO - ++---------------------+-------------------------------------------------------------------+ +| Class | IoU 0,10,20,30,40,50,60,70,80,90,99 | ++---------------------+-------------------------------------------------------------------+ +| background | nan,nan,nan,nan,nan,nan,nan,nan,nan,nan,nan | +| wall | 77.4,77.41,77.41,77.41,77.41,77.42,77.44,77.46,77.46,77.48,77.46 | +| building | 81.56,81.57,81.57,81.56,81.57,81.58,81.58,81.59,81.6,81.6,81.61 | +| sky | 94.44,94.44,94.44,94.44,94.44,94.44,94.44,94.44,94.45,94.47,94.46 | +| floor | 81.76,81.75,81.75,81.76,81.77,81.76,81.78,81.77,81.78,81.75,81.74 | +| tree | 74.29,74.29,74.3,74.29,74.29,74.3,74.32,74.35,74.38,74.41,74.43 | +| ceiling | 85.48,85.47,85.48,85.47,85.47,85.49,85.51,85.51,85.53,85.58,85.56 | +| road | 82.36,82.34,82.34,82.33,82.34,82.34,82.34,82.35,82.3,82.26,82.28 | +| bed | 87.98,87.98,87.96,87.98,87.97,87.98,88.0,87.99,87.98,88.0,88.03 | +| windowpane | 60.47,60.49,60.48,60.49,60.5,60.51,60.51,60.53,60.52,60.49,60.51 | +| grass | 67.08,67.08,67.1,67.11,67.13,67.13,67.18,67.22,67.26,67.29,67.33 | +| cabinet | 61.47,61.41,61.48,61.46,61.45,61.5,61.6,61.63,61.72,61.77,61.77 | +| sidewalk | 64.54,64.5,64.5,64.49,64.5,64.53,64.51,64.57,64.57,64.57,64.62 | +| person | 79.59,79.6,79.61,79.61,79.62,79.62,79.64,79.68,79.69,79.72,79.74 | +| earth | 35.81,35.8,35.81,35.8,35.84,35.86,35.87,35.9,35.9,35.87,35.9 | +| door | 45.79,45.82,45.81,45.81,45.83,45.85,45.82,45.81,45.79,45.7,45.62 | +| table | 61.15,61.1,61.14,61.13,61.16,61.18,61.22,61.26,61.34,61.37,61.33 | +| mountain | 56.39,56.47,56.41,56.44,56.43,56.46,56.48,56.53,56.57,56.67,56.7 | +| plant | 49.65,49.6,49.66,49.64,49.61,49.62,49.67,49.66,49.68,49.67,49.65 | +| curtain | 74.59,74.58,74.6,74.59,74.59,74.63,74.69,74.68,74.66,74.63,74.66 | +| chair | 56.59,56.62,56.61,56.59,56.61,56.61,56.64,56.68,56.69,56.69,56.71 | +| car | 81.66,81.68,81.65,81.65,81.66,81.67,81.66,81.69,81.73,81.77,81.81 | +| water | 57.09,57.09,57.09,57.07,57.11,57.11,57.12,57.19,57.21,57.27,57.33 | +| painting | 70.28,70.28,70.3,70.28,70.3,70.32,70.29,70.34,70.37,70.32,70.35 | +| sofa | 63.97,64.0,63.99,64.0,64.01,64.05,64.06,64.17,64.2,64.44,64.59 | +| shelf | 44.05,44.12,44.07,44.11,44.08,44.12,44.17,44.28,44.2,44.26,44.28 | +| house | 42.72,42.8,42.77,42.79,42.82,42.85,42.89,42.85,42.92,42.91,42.97 | +| sea | 60.1,60.06,60.1,60.04,60.06,60.11,60.1,60.15,60.16,60.16,60.18 | +| mirror | 66.24,66.27,66.25,66.24,66.22,66.22,66.22,66.1,65.96,65.84,65.8 | +| rug | 64.68,64.72,64.72,64.75,64.75,64.76,64.83,64.84,65.07,65.05,65.01 | +| field | 30.68,30.67,30.68,30.68,30.68,30.71,30.7,30.67,30.65,30.61,30.56 | +| armchair | 37.74,37.71,37.7,37.71,37.72,37.73,37.75,37.72,37.77,37.76,37.77 | +| seat | 66.49,66.5,66.49,66.53,66.55,66.51,66.57,66.62,66.62,66.69,66.75 | +| fence | 40.48,40.7,40.58,40.54,40.6,40.64,40.64,40.75,40.81,40.83,40.85 | +| desk | 47.29,47.23,47.27,47.32,47.31,47.45,47.52,47.66,47.8,47.84,47.95 | +| rock | 36.65,36.63,36.63,36.67,36.67,36.7,36.71,36.75,36.83,36.84,36.92 | +| wardrobe | 57.6,57.54,57.53,57.54,57.48,57.52,57.44,57.34,57.28,57.14,56.92 | +| lamp | 61.83,61.82,61.79,61.81,61.79,61.85,61.82,61.85,61.9,61.92,61.84 | +| bathtub | 76.26,76.11,76.23,76.17,76.17,76.16,76.09,75.97,76.02,75.87,75.67 | +| railing | 33.65,33.65,33.64,33.59,33.6,33.6,33.59,33.58,33.58,33.6,33.6 | +| cushion | 56.91,56.97,57.0,56.88,56.92,56.96,56.86,57.0,57.06,57.02,57.11 | +| base | 22.05,22.1,22.08,22.14,22.13,22.11,22.17,22.12,22.15,22.12,22.07 | +| box | 23.16,23.11,23.06,23.17,23.16,23.2,23.25,23.3,23.4,23.51,23.53 | +| column | 46.63,46.64,46.65,46.65,46.67,46.72,46.79,46.88,46.96,47.05,46.96 | +| signboard | 37.93,37.93,37.91,37.88,37.91,37.96,37.96,37.88,37.76,37.77,37.71 | +| chest of drawers | 35.98,35.92,35.94,35.96,35.95,35.96,35.98,36.05,35.96,35.92,36.01 | +| counter | 31.1,31.07,31.1,31.07,31.09,31.21,31.18,31.25,31.37,31.39,31.45 | +| sand | 42.4,42.43,42.42,42.42,42.4,42.45,42.48,42.45,42.49,42.53,42.53 | +| sink | 67.58,67.64,67.58,67.62,67.58,67.62,67.6,67.54,67.53,67.51,67.44 | +| skyscraper | 48.57,48.74,48.64,48.65,48.71,48.72,48.53,48.66,48.47,48.39,48.33 | +| fireplace | 75.68,75.74,75.78,75.68,75.72,75.76,75.82,75.94,76.08,76.18,76.25 | +| refrigerator | 75.24,75.25,75.26,75.22,75.3,75.32,75.36,75.61,75.6,75.78,75.75 | +| grandstand | 52.16,52.2,52.22,52.24,52.03,52.22,52.25,52.37,52.55,52.66,52.95 | +| path | 22.36,22.36,22.36,22.4,22.37,22.42,22.42,22.39,22.43,22.52,22.59 | +| stairs | 31.77,31.84,31.8,31.81,31.73,31.8,31.72,31.74,31.75,31.77,31.77 | +| runway | 67.67,67.71,67.68,67.73,67.76,67.7,67.73,67.78,67.78,67.78,67.79 | +| case | 49.36,49.3,49.29,49.33,49.3,49.32,49.41,49.45,49.47,49.45,49.34 | +| pool table | 91.83,91.81,91.81,91.83,91.83,91.83,91.86,91.82,91.87,91.89,91.91 | +| pillow | 59.99,59.9,59.89,59.94,59.87,59.98,59.92,59.88,59.79,59.67,59.97 | +| screen door | 70.02,70.05,70.03,70.19,70.03,69.94,70.07,69.9,69.79,69.53,69.27 | +| stairway | 23.67,23.68,23.74,23.72,23.74,23.72,23.74,23.78,23.82,23.81,23.77 | +| river | 11.88,11.89,11.9,11.87,11.9,11.86,11.88,11.86,11.86,11.83,11.83 | +| bridge | 30.98,31.03,31.03,31.07,31.1,30.97,31.06,31.03,31.03,31.01,30.92 | +| bookcase | 45.08,45.12,45.2,45.11,45.05,45.11,45.06,45.08,44.9,44.92,44.79 | +| blind | 38.6,38.71,38.57,38.65,38.67,38.7,38.8,38.87,38.98,39.15,39.35 | +| coffee table | 53.11,53.08,53.07,53.05,53.09,53.07,53.05,53.03,53.14,53.32,53.17 | +| toilet | 83.65,83.65,83.66,83.65,83.61,83.66,83.62,83.63,83.7,83.79,83.79 | +| flower | 38.52,38.51,38.48,38.5,38.5,38.52,38.58,38.46,38.52,38.5,38.49 | +| book | 45.57,45.51,45.53,45.64,45.59,45.6,45.58,45.52,45.5,45.43,45.43 | +| hill | 15.49,15.39,15.53,15.45,15.56,15.58,15.52,15.58,15.62,15.49,15.44 | +| bench | 42.62,42.56,42.6,42.59,42.55,42.56,42.55,42.39,42.24,42.19,41.97 | +| countertop | 55.5,55.48,55.43,55.47,55.47,55.52,55.48,55.69,55.99,56.2,56.43 | +| stove | 71.57,71.57,71.56,71.58,71.54,71.53,71.46,71.48,71.38,71.33,71.14 | +| palm | 47.73,47.73,47.82,47.75,47.74,47.76,47.74,47.75,47.72,47.77,47.67 | +| kitchen island | 44.95,44.91,44.99,45.03,45.06,44.96,45.08,44.88,45.02,44.98,44.92 | +| computer | 60.92,60.95,60.97,60.93,60.91,60.94,60.89,60.94,60.89,60.86,60.8 | +| swivel chair | 43.59,43.54,43.51,43.59,43.49,43.54,43.7,43.72,43.95,43.97,44.14 | +| boat | 72.84,72.88,72.78,72.81,72.74,72.87,72.85,72.95,73.12,73.21,73.55 | +| bar | 23.76,23.73,23.7,23.76,23.73,23.73,23.76,23.76,23.74,23.78,23.79 | +| arcade machine | 68.68,68.65,68.72,68.84,68.71,68.76,69.16,69.02,69.03,69.01,69.13 | +| hovel | 31.19,31.27,31.19,31.23,31.46,31.31,31.42,31.47,31.58,31.93,32.12 | +| bus | 79.71,79.74,79.74,79.65,79.71,79.7,79.64,79.65,79.71,79.51,79.37 | +| towel | 62.94,62.92,62.91,62.9,62.91,62.92,62.96,62.87,62.93,62.87,62.7 | +| light | 56.04,56.06,56.0,56.1,56.07,56.05,56.13,56.15,56.1,56.17,56.13 | +| truck | 18.57,18.73,18.7,18.63,18.79,18.74,18.62,18.73,18.81,18.73,18.69 | +| tower | 8.75,8.73,8.74,8.7,8.74,8.75,8.8,8.77,8.89,8.93,8.92 | +| chandelier | 64.05,64.01,64.03,64.01,64.01,64.05,64.04,64.1,64.17,64.14,64.13 | +| awning | 23.87,24.03,24.0,24.04,23.99,24.27,24.56,24.86,24.98,25.18,25.37 | +| streetlight | 27.0,27.02,27.06,27.06,27.06,27.14,27.1,27.21,27.05,27.06,27.0 | +| booth | 48.13,48.06,48.11,48.23,48.49,48.37,48.67,48.94,49.21,49.71,50.0 | +| television receiver | 64.01,63.99,64.02,64.06,64.02,64.06,64.01,64.14,64.1,64.26,64.17 | +| airplane | 59.34,59.41,59.39,59.38,59.43,59.41,59.34,59.24,58.99,58.81,58.63 | +| dirt track | 21.37,21.43,21.47,21.49,21.44,21.53,21.64,21.86,21.96,22.29,22.6 | +| apparel | 35.55,35.62,35.61,35.48,35.54,35.62,35.62,35.76,35.91,35.83,36.03 | +| pole | 19.24,19.08,19.11,19.1,19.15,19.16,19.04,18.96,18.92,18.66,18.5 | +| land | 4.03,4.02,3.98,3.99,4.02,4.04,4.02,4.01,4.0,4.0,4.01 | +| bannister | 12.56,12.47,12.5,12.49,12.41,12.49,12.53,12.6,12.56,12.68,12.84 | +| escalator | 23.79,23.83,23.79,23.83,23.89,23.88,23.94,23.98,23.97,24.04,24.12 | +| ottoman | 43.52,43.47,43.52,43.48,43.42,43.58,43.4,43.44,43.51,43.5,43.03 | +| bottle | 34.98,34.97,34.97,34.98,34.9,34.93,34.94,34.88,34.83,34.86,34.75 | +| buffet | 43.34,43.46,43.49,43.42,43.7,43.92,44.34,44.91,45.55,45.69,45.95 | +| poster | 23.21,23.23,23.19,23.19,23.27,23.28,23.19,23.24,23.24,23.42,23.23 | +| stage | 14.04,14.03,13.98,14.02,14.04,14.03,13.95,13.94,13.9,13.88,13.85 | +| van | 38.69,38.76,38.7,38.67,38.66,38.67,38.68,38.61,38.69,38.65,38.73 | +| ship | 81.86,81.97,81.89,81.88,81.88,81.99,82.1,82.16,82.39,82.58,82.84 | +| fountain | 20.62,20.59,20.66,20.73,20.76,20.72,20.92,21.07,21.38,21.59,21.98 | +| conveyer belt | 85.34,85.34,85.41,85.38,85.37,85.37,85.42,85.48,85.5,85.65,85.7 | +| canopy | 22.89,22.99,22.94,23.02,23.16,23.13,23.49,23.68,23.96,24.13,24.64 | +| washer | 73.81,73.89,74.18,74.0,74.2,74.17,73.92,73.99,74.02,74.1,74.3 | +| plaything | 19.32,19.33,19.42,19.38,19.31,19.25,19.31,19.19,19.1,18.95,18.91 | +| swimming pool | 75.83,75.7,75.65,75.78,75.91,75.94,75.83,75.72,75.49,75.11,74.62 | +| stool | 43.58,43.67,43.76,43.73,43.58,43.53,43.63,43.58,43.75,43.76,43.71 | +| barrel | 41.49,41.59,40.53,40.75,41.23,40.48,40.39,40.2,40.15,39.06,38.74 | +| basket | 24.15,24.14,24.22,24.19,24.22,24.13,24.1,24.19,24.03,24.07,24.0 | +| waterfall | 50.12,50.24,50.2,50.22,50.23,50.03,50.2,50.12,50.08,50.15,50.13 | +| tent | 94.88,94.85,94.9,94.85,94.89,94.87,94.89,94.84,94.94,94.94,94.97 | +| bag | 15.64,15.67,15.59,15.54,15.73,15.72,15.72,15.71,15.75,15.65,15.83 | +| minibike | 62.91,63.07,62.88,62.9,62.96,62.93,63.03,63.06,62.9,62.96,62.97 | +| cradle | 84.84,84.82,84.8,84.75,84.82,84.91,85.0,85.05,85.23,85.38,85.58 | +| oven | 49.27,49.31,49.4,49.27,49.43,49.25,49.4,49.38,49.39,49.48,49.54 | +| ball | 47.0,46.99,46.98,46.92,46.97,46.96,46.91,46.88,46.78,46.52,46.3 | +| food | 54.83,54.85,54.85,54.88,54.92,54.8,54.86,54.91,54.96,54.81,54.55 | +| step | 6.63,6.67,6.7,6.6,6.69,6.7,6.63,6.64,6.65,6.63,6.59 | +| tank | 50.29,50.25,50.2,50.23,50.27,50.11,50.04,49.93,49.83,49.68,49.59 | +| trade name | 26.53,26.61,26.43,26.55,26.71,26.53,26.64,26.5,26.67,26.74,26.82 | +| microwave | 73.44,73.47,73.47,73.41,73.48,73.53,73.68,73.85,74.0,74.29,74.51 | +| pot | 30.39,30.4,30.37,30.36,30.39,30.34,30.43,30.49,30.66,30.87,31.02 | +| animal | 54.45,54.46,54.44,54.44,54.44,54.44,54.33,54.46,54.31,54.17,54.13 | +| bicycle | 54.81,54.77,54.85,54.73,54.8,54.8,55.01,55.02,55.06,55.18,55.21 | +| lake | 57.89,57.9,57.94,57.94,57.97,57.96,57.92,58.0,58.14,58.2,58.29 | +| dishwasher | 65.35,65.41,65.31,65.27,65.27,65.22,65.13,65.15,65.1,65.1,65.21 | +| screen | 68.92,68.82,69.04,68.79,68.88,68.56,68.33,68.04,67.41,67.28,68.69 | +| blanket | 18.24,18.27,18.26,18.21,18.28,18.35,18.36,18.33,18.38,18.24,18.15 | +| sculpture | 56.67,56.76,56.74,56.64,56.94,56.6,56.69,56.73,56.91,56.95,56.62 | +| hood | 55.25,55.29,55.19,55.28,55.23,54.86,54.97,54.76,54.56,54.36,54.29 | +| sconce | 42.69,42.77,42.52,42.72,42.57,42.67,42.93,42.92,43.14,43.37,43.43 | +| vase | 36.99,37.06,37.08,37.0,37.05,37.14,37.15,37.24,37.38,37.42,37.61 | +| traffic light | 32.96,32.82,32.96,32.94,32.94,32.98,33.14,33.12,33.15,33.21,33.31 | +| tray | 7.67,7.67,7.68,7.74,7.74,7.69,7.64,7.78,7.73,7.71,7.71 | +| ashcan | 41.38,41.56,41.4,41.42,41.34,41.33,41.45,41.41,41.67,41.56,41.6 | +| fan | 57.46,57.56,57.37,57.34,57.48,57.66,57.57,57.43,57.61,57.5,57.5 | +| pier | 52.89,52.88,52.68,53.1,53.18,53.46,54.3,55.38,55.89,56.58,57.75 | +| crt screen | 10.58,10.58,10.61,10.58,10.61,10.57,10.58,10.68,10.68,10.7,10.81 | +| plate | 52.51,52.64,52.57,52.57,52.58,52.65,52.66,52.84,52.95,53.1,53.27 | +| monitor | 18.35,18.39,18.35,18.4,18.34,18.38,18.31,18.32,18.24,17.99,17.9 | +| bulletin board | 39.06,39.21,39.07,39.32,39.02,39.03,38.95,38.86,38.74,38.39,38.76 | +| shower | 1.76,1.69,1.75,1.8,1.81,1.76,1.72,1.7,1.67,1.65,1.54 | +| radiator | 59.12,58.98,59.07,58.95,59.38,59.2,60.12,60.45,61.64,62.6,63.54 | +| glass | 13.37,13.32,13.24,13.3,13.34,13.31,13.34,13.36,13.4,13.39,13.36 | +| clock | 35.56,35.35,35.52,35.49,35.39,35.35,35.51,35.64,35.58,35.39,35.1 | +| flag | 33.56,33.56,33.43,33.5,33.45,33.45,33.43,33.43,33.39,33.4,33.38 | ++---------------------+-------------------------------------------------------------------+ +2023-03-04 06:31:03,968 - mmseg - INFO - Summary: +2023-03-04 06:31:03,968 - mmseg - INFO - ++------------------------------------------------------------------+ +| mIoU 0,10,20,30,40,50,60,70,80,90,99 | ++------------------------------------------------------------------+ +| 48.71,48.72,48.71,48.71,48.73,48.73,48.77,48.8,48.84,48.85,48.88 | ++------------------------------------------------------------------+ +2023-03-04 06:31:04,004 - mmseg - INFO - The previous best checkpoint /mnt/petrelfs/laizeqiang/mmseg-baseline/work_dirs2/ablation_segformer_mit_b2_segformer_head_unet_fc_small_multi_step_ade_pretrained_freeze_embed_160k_ade20k151_finetune_ema_cos/best_mIoU_iter_64000.pth was removed +2023-03-04 06:31:04,966 - mmseg - INFO - Now best checkpoint is saved as best_mIoU_iter_80000.pth. +2023-03-04 06:31:04,966 - mmseg - INFO - Best mIoU is 0.4888 at 80000 iter. +2023-03-04 06:31:04,966 - mmseg - INFO - Exp name: ablation_segformer_mit_b2_segformer_head_unet_fc_small_multi_step_ade_pretrained_freeze_embed_160k_ade20k151_finetune_ema_cos.py +2023-03-04 06:31:04,966 - mmseg - INFO - Iter(val) [250] mIoU: [0.4871, 0.4872, 0.4871, 0.4871, 0.4873, 0.4873, 0.4877, 0.488, 0.4884, 0.4885, 0.4888], copy_paste: 48.71,48.72,48.71,48.71,48.73,48.73,48.77,48.8,48.84,48.85,48.88 +2023-03-04 06:31:04,973 - mmseg - INFO - Swap parameters (before train) before iter [80001] +2023-03-04 06:31:15,170 - mmseg - INFO - Iter [80050/160000] lr: 9.375e-06, eta: 5:21:10, time: 13.453, data_time: 13.257, memory: 52540, decode.loss_ce: 0.1823, decode.acc_seg: 92.6423, loss: 0.1823 +2023-03-04 06:31:25,227 - mmseg - INFO - Iter [80100/160000] lr: 9.375e-06, eta: 5:20:56, time: 0.201, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1873, decode.acc_seg: 92.2270, loss: 0.1873 +2023-03-04 06:31:37,321 - mmseg - INFO - Iter [80150/160000] lr: 9.375e-06, eta: 5:20:44, time: 0.242, data_time: 0.054, memory: 52540, decode.loss_ce: 0.1910, decode.acc_seg: 92.1684, loss: 0.1910 +2023-03-04 06:31:46,862 - mmseg - INFO - Iter [80200/160000] lr: 9.375e-06, eta: 5:20:30, time: 0.191, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1915, decode.acc_seg: 92.1119, loss: 0.1915 +2023-03-04 06:31:56,447 - mmseg - INFO - Iter [80250/160000] lr: 9.375e-06, eta: 5:20:15, time: 0.192, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1798, decode.acc_seg: 92.4646, loss: 0.1798 +2023-03-04 06:32:05,949 - mmseg - INFO - Iter [80300/160000] lr: 9.375e-06, eta: 5:20:01, time: 0.190, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1877, decode.acc_seg: 92.2929, loss: 0.1877 +2023-03-04 06:32:15,443 - mmseg - INFO - Iter [80350/160000] lr: 9.375e-06, eta: 5:19:46, time: 0.190, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1788, decode.acc_seg: 92.6256, loss: 0.1788 +2023-03-04 06:32:25,210 - mmseg - INFO - Iter [80400/160000] lr: 9.375e-06, eta: 5:19:32, time: 0.195, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1886, decode.acc_seg: 92.2499, loss: 0.1886 +2023-03-04 06:32:34,710 - mmseg - INFO - Iter [80450/160000] lr: 9.375e-06, eta: 5:19:17, time: 0.190, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1833, decode.acc_seg: 92.4031, loss: 0.1833 +2023-03-04 06:32:44,233 - mmseg - INFO - Iter [80500/160000] lr: 9.375e-06, eta: 5:19:03, time: 0.190, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1891, decode.acc_seg: 92.1931, loss: 0.1891 +2023-03-04 06:32:54,161 - mmseg - INFO - Iter [80550/160000] lr: 9.375e-06, eta: 5:18:49, time: 0.199, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1822, decode.acc_seg: 92.4380, loss: 0.1822 +2023-03-04 06:33:03,712 - mmseg - INFO - Iter [80600/160000] lr: 9.375e-06, eta: 5:18:34, time: 0.191, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1892, decode.acc_seg: 92.2465, loss: 0.1892 +2023-03-04 06:33:13,189 - mmseg - INFO - Iter [80650/160000] lr: 9.375e-06, eta: 5:18:20, time: 0.190, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1943, decode.acc_seg: 92.0091, loss: 0.1943 +2023-03-04 06:33:22,898 - mmseg - INFO - Iter [80700/160000] lr: 9.375e-06, eta: 5:18:05, time: 0.194, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1874, decode.acc_seg: 92.2830, loss: 0.1874 +2023-03-04 06:33:32,460 - mmseg - INFO - Iter [80750/160000] lr: 9.375e-06, eta: 5:17:51, time: 0.191, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1782, decode.acc_seg: 92.5171, loss: 0.1782 +2023-03-04 06:33:44,620 - mmseg - INFO - Iter [80800/160000] lr: 9.375e-06, eta: 5:17:39, time: 0.243, data_time: 0.053, memory: 52540, decode.loss_ce: 0.1848, decode.acc_seg: 92.3283, loss: 0.1848 +2023-03-04 06:33:54,318 - mmseg - INFO - Iter [80850/160000] lr: 9.375e-06, eta: 5:17:25, time: 0.194, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1869, decode.acc_seg: 92.4481, loss: 0.1869 +2023-03-04 06:34:03,925 - mmseg - INFO - Iter [80900/160000] lr: 9.375e-06, eta: 5:17:10, time: 0.192, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1759, decode.acc_seg: 92.7441, loss: 0.1759 +2023-03-04 06:34:13,764 - mmseg - INFO - Iter [80950/160000] lr: 9.375e-06, eta: 5:16:56, time: 0.197, data_time: 0.008, memory: 52540, decode.loss_ce: 0.1870, decode.acc_seg: 92.4466, loss: 0.1870 +2023-03-04 06:34:23,352 - mmseg - INFO - Exp name: ablation_segformer_mit_b2_segformer_head_unet_fc_small_multi_step_ade_pretrained_freeze_embed_160k_ade20k151_finetune_ema_cos.py +2023-03-04 06:34:23,353 - mmseg - INFO - Iter [81000/160000] lr: 9.375e-06, eta: 5:16:42, time: 0.192, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1850, decode.acc_seg: 92.2762, loss: 0.1850 +2023-03-04 06:34:32,931 - mmseg - INFO - Iter [81050/160000] lr: 9.375e-06, eta: 5:16:27, time: 0.192, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1882, decode.acc_seg: 92.2599, loss: 0.1882 +2023-03-04 06:34:42,816 - mmseg - INFO - Iter [81100/160000] lr: 9.375e-06, eta: 5:16:13, time: 0.198, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1887, decode.acc_seg: 92.2774, loss: 0.1887 +2023-03-04 06:34:52,802 - mmseg - INFO - Iter [81150/160000] lr: 9.375e-06, eta: 5:15:59, time: 0.199, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1857, decode.acc_seg: 92.4023, loss: 0.1857 +2023-03-04 06:35:02,458 - mmseg - INFO - Iter [81200/160000] lr: 9.375e-06, eta: 5:15:45, time: 0.193, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1801, decode.acc_seg: 92.5857, loss: 0.1801 +2023-03-04 06:35:12,338 - mmseg - INFO - Iter [81250/160000] lr: 9.375e-06, eta: 5:15:31, time: 0.198, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1968, decode.acc_seg: 91.8557, loss: 0.1968 +2023-03-04 06:35:22,088 - mmseg - INFO - Iter [81300/160000] lr: 9.375e-06, eta: 5:15:16, time: 0.195, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1908, decode.acc_seg: 92.1348, loss: 0.1908 +2023-03-04 06:35:31,957 - mmseg - INFO - Iter [81350/160000] lr: 9.375e-06, eta: 5:15:02, time: 0.197, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1897, decode.acc_seg: 92.1975, loss: 0.1897 +2023-03-04 06:35:44,200 - mmseg - INFO - Iter [81400/160000] lr: 9.375e-06, eta: 5:14:51, time: 0.245, data_time: 0.054, memory: 52540, decode.loss_ce: 0.1877, decode.acc_seg: 92.2327, loss: 0.1877 +2023-03-04 06:35:53,718 - mmseg - INFO - Iter [81450/160000] lr: 9.375e-06, eta: 5:14:36, time: 0.190, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1888, decode.acc_seg: 92.2434, loss: 0.1888 +2023-03-04 06:36:03,603 - mmseg - INFO - Iter [81500/160000] lr: 9.375e-06, eta: 5:14:22, time: 0.198, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1824, decode.acc_seg: 92.5094, loss: 0.1824 +2023-03-04 06:36:13,189 - mmseg - INFO - Iter [81550/160000] lr: 9.375e-06, eta: 5:14:08, time: 0.192, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1885, decode.acc_seg: 92.1511, loss: 0.1885 +2023-03-04 06:36:22,670 - mmseg - INFO - Iter [81600/160000] lr: 9.375e-06, eta: 5:13:53, time: 0.190, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1815, decode.acc_seg: 92.5579, loss: 0.1815 +2023-03-04 06:36:32,197 - mmseg - INFO - Iter [81650/160000] lr: 9.375e-06, eta: 5:13:39, time: 0.191, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1901, decode.acc_seg: 92.2245, loss: 0.1901 +2023-03-04 06:36:41,908 - mmseg - INFO - Iter [81700/160000] lr: 9.375e-06, eta: 5:13:25, time: 0.194, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1857, decode.acc_seg: 92.2644, loss: 0.1857 +2023-03-04 06:36:51,397 - mmseg - INFO - Iter [81750/160000] lr: 9.375e-06, eta: 5:13:10, time: 0.190, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1946, decode.acc_seg: 92.0074, loss: 0.1946 +2023-03-04 06:37:00,944 - mmseg - INFO - Iter [81800/160000] lr: 9.375e-06, eta: 5:12:56, time: 0.191, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1991, decode.acc_seg: 91.7718, loss: 0.1991 +2023-03-04 06:37:10,915 - mmseg - INFO - Iter [81850/160000] lr: 9.375e-06, eta: 5:12:42, time: 0.199, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1862, decode.acc_seg: 92.1943, loss: 0.1862 +2023-03-04 06:37:20,435 - mmseg - INFO - Iter [81900/160000] lr: 9.375e-06, eta: 5:12:28, time: 0.190, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1922, decode.acc_seg: 91.9403, loss: 0.1922 +2023-03-04 06:37:30,194 - mmseg - INFO - Iter [81950/160000] lr: 9.375e-06, eta: 5:12:13, time: 0.195, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1941, decode.acc_seg: 91.9699, loss: 0.1941 +2023-03-04 06:37:40,022 - mmseg - INFO - Exp name: ablation_segformer_mit_b2_segformer_head_unet_fc_small_multi_step_ade_pretrained_freeze_embed_160k_ade20k151_finetune_ema_cos.py +2023-03-04 06:37:40,023 - mmseg - INFO - Iter [82000/160000] lr: 9.375e-06, eta: 5:11:59, time: 0.197, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1822, decode.acc_seg: 92.4012, loss: 0.1822 +2023-03-04 06:37:52,274 - mmseg - INFO - Iter [82050/160000] lr: 9.375e-06, eta: 5:11:48, time: 0.245, data_time: 0.055, memory: 52540, decode.loss_ce: 0.1816, decode.acc_seg: 92.5624, loss: 0.1816 +2023-03-04 06:38:01,841 - mmseg - INFO - Iter [82100/160000] lr: 9.375e-06, eta: 5:11:33, time: 0.191, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1894, decode.acc_seg: 92.1564, loss: 0.1894 +2023-03-04 06:38:11,544 - mmseg - INFO - Iter [82150/160000] lr: 9.375e-06, eta: 5:11:19, time: 0.194, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1886, decode.acc_seg: 92.3057, loss: 0.1886 +2023-03-04 06:38:21,075 - mmseg - INFO - Iter [82200/160000] lr: 9.375e-06, eta: 5:11:05, time: 0.191, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1877, decode.acc_seg: 92.2773, loss: 0.1877 +2023-03-04 06:38:31,065 - mmseg - INFO - Iter [82250/160000] lr: 9.375e-06, eta: 5:10:51, time: 0.200, data_time: 0.006, memory: 52540, decode.loss_ce: 0.1855, decode.acc_seg: 92.4676, loss: 0.1855 +2023-03-04 06:38:40,942 - mmseg - INFO - Iter [82300/160000] lr: 9.375e-06, eta: 5:10:37, time: 0.198, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1803, decode.acc_seg: 92.4443, loss: 0.1803 +2023-03-04 06:38:51,236 - mmseg - INFO - Iter [82350/160000] lr: 9.375e-06, eta: 5:10:23, time: 0.206, data_time: 0.008, memory: 52540, decode.loss_ce: 0.1926, decode.acc_seg: 92.1589, loss: 0.1926 +2023-03-04 06:39:00,731 - mmseg - INFO - Iter [82400/160000] lr: 9.375e-06, eta: 5:10:09, time: 0.190, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1890, decode.acc_seg: 92.2178, loss: 0.1890 +2023-03-04 06:39:10,609 - mmseg - INFO - Iter [82450/160000] lr: 9.375e-06, eta: 5:09:55, time: 0.198, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1925, decode.acc_seg: 92.0113, loss: 0.1925 +2023-03-04 06:39:20,235 - mmseg - INFO - Iter [82500/160000] lr: 9.375e-06, eta: 5:09:41, time: 0.193, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1843, decode.acc_seg: 92.4614, loss: 0.1843 +2023-03-04 06:39:29,859 - mmseg - INFO - Iter [82550/160000] lr: 9.375e-06, eta: 5:09:27, time: 0.192, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1910, decode.acc_seg: 92.2366, loss: 0.1910 +2023-03-04 06:39:39,434 - mmseg - INFO - Iter [82600/160000] lr: 9.375e-06, eta: 5:09:12, time: 0.191, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1887, decode.acc_seg: 92.1848, loss: 0.1887 +2023-03-04 06:39:49,163 - mmseg - INFO - Iter [82650/160000] lr: 9.375e-06, eta: 5:08:58, time: 0.195, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1931, decode.acc_seg: 92.1010, loss: 0.1931 +2023-03-04 06:40:01,252 - mmseg - INFO - Iter [82700/160000] lr: 9.375e-06, eta: 5:08:46, time: 0.242, data_time: 0.055, memory: 52540, decode.loss_ce: 0.1850, decode.acc_seg: 92.5722, loss: 0.1850 +2023-03-04 06:40:10,899 - mmseg - INFO - Iter [82750/160000] lr: 9.375e-06, eta: 5:08:32, time: 0.193, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1849, decode.acc_seg: 92.2344, loss: 0.1849 +2023-03-04 06:40:20,663 - mmseg - INFO - Iter [82800/160000] lr: 9.375e-06, eta: 5:08:18, time: 0.195, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1841, decode.acc_seg: 92.3766, loss: 0.1841 +2023-03-04 06:40:30,756 - mmseg - INFO - Iter [82850/160000] lr: 9.375e-06, eta: 5:08:04, time: 0.202, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1899, decode.acc_seg: 92.2857, loss: 0.1899 +2023-03-04 06:40:40,571 - mmseg - INFO - Iter [82900/160000] lr: 9.375e-06, eta: 5:07:50, time: 0.196, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1839, decode.acc_seg: 92.3919, loss: 0.1839 +2023-03-04 06:40:50,312 - mmseg - INFO - Iter [82950/160000] lr: 9.375e-06, eta: 5:07:36, time: 0.195, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1856, decode.acc_seg: 92.3239, loss: 0.1856 +2023-03-04 06:40:59,806 - mmseg - INFO - Exp name: ablation_segformer_mit_b2_segformer_head_unet_fc_small_multi_step_ade_pretrained_freeze_embed_160k_ade20k151_finetune_ema_cos.py +2023-03-04 06:40:59,807 - mmseg - INFO - Iter [83000/160000] lr: 9.375e-06, eta: 5:07:22, time: 0.190, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1925, decode.acc_seg: 92.0473, loss: 0.1925 +2023-03-04 06:41:09,514 - mmseg - INFO - Iter [83050/160000] lr: 9.375e-06, eta: 5:07:08, time: 0.194, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1927, decode.acc_seg: 92.1323, loss: 0.1927 +2023-03-04 06:41:19,473 - mmseg - INFO - Iter [83100/160000] lr: 9.375e-06, eta: 5:06:54, time: 0.199, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1871, decode.acc_seg: 92.4073, loss: 0.1871 +2023-03-04 06:41:29,170 - mmseg - INFO - Iter [83150/160000] lr: 9.375e-06, eta: 5:06:40, time: 0.194, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1839, decode.acc_seg: 92.5642, loss: 0.1839 +2023-03-04 06:41:38,772 - mmseg - INFO - Iter [83200/160000] lr: 9.375e-06, eta: 5:06:26, time: 0.192, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1840, decode.acc_seg: 92.4605, loss: 0.1840 +2023-03-04 06:41:48,441 - mmseg - INFO - Iter [83250/160000] lr: 9.375e-06, eta: 5:06:12, time: 0.193, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1842, decode.acc_seg: 92.3890, loss: 0.1842 +2023-03-04 06:42:00,681 - mmseg - INFO - Iter [83300/160000] lr: 9.375e-06, eta: 5:06:00, time: 0.245, data_time: 0.057, memory: 52540, decode.loss_ce: 0.1844, decode.acc_seg: 92.3866, loss: 0.1844 +2023-03-04 06:42:10,499 - mmseg - INFO - Iter [83350/160000] lr: 9.375e-06, eta: 5:05:46, time: 0.196, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1900, decode.acc_seg: 92.1574, loss: 0.1900 +2023-03-04 06:42:20,278 - mmseg - INFO - Iter [83400/160000] lr: 9.375e-06, eta: 5:05:32, time: 0.196, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1910, decode.acc_seg: 92.1943, loss: 0.1910 +2023-03-04 06:42:30,316 - mmseg - INFO - Iter [83450/160000] lr: 9.375e-06, eta: 5:05:18, time: 0.201, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1878, decode.acc_seg: 92.3236, loss: 0.1878 +2023-03-04 06:42:40,537 - mmseg - INFO - Iter [83500/160000] lr: 9.375e-06, eta: 5:05:05, time: 0.204, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1853, decode.acc_seg: 92.3992, loss: 0.1853 +2023-03-04 06:42:50,245 - mmseg - INFO - Iter [83550/160000] lr: 9.375e-06, eta: 5:04:51, time: 0.194, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1804, decode.acc_seg: 92.5760, loss: 0.1804 +2023-03-04 06:42:59,793 - mmseg - INFO - Iter [83600/160000] lr: 9.375e-06, eta: 5:04:37, time: 0.191, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1811, decode.acc_seg: 92.4096, loss: 0.1811 +2023-03-04 06:43:09,489 - mmseg - INFO - Iter [83650/160000] lr: 9.375e-06, eta: 5:04:23, time: 0.194, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1912, decode.acc_seg: 92.2398, loss: 0.1912 +2023-03-04 06:43:19,339 - mmseg - INFO - Iter [83700/160000] lr: 9.375e-06, eta: 5:04:09, time: 0.197, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1854, decode.acc_seg: 92.3194, loss: 0.1854 +2023-03-04 06:43:28,828 - mmseg - INFO - Iter [83750/160000] lr: 9.375e-06, eta: 5:03:55, time: 0.190, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1884, decode.acc_seg: 92.3425, loss: 0.1884 +2023-03-04 06:43:38,425 - mmseg - INFO - Iter [83800/160000] lr: 9.375e-06, eta: 5:03:40, time: 0.192, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1910, decode.acc_seg: 92.1960, loss: 0.1910 +2023-03-04 06:43:48,298 - mmseg - INFO - Iter [83850/160000] lr: 9.375e-06, eta: 5:03:27, time: 0.197, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1882, decode.acc_seg: 92.2673, loss: 0.1882 +2023-03-04 06:43:58,035 - mmseg - INFO - Iter [83900/160000] lr: 9.375e-06, eta: 5:03:13, time: 0.195, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1932, decode.acc_seg: 91.9865, loss: 0.1932 +2023-03-04 06:44:10,174 - mmseg - INFO - Iter [83950/160000] lr: 9.375e-06, eta: 5:03:01, time: 0.243, data_time: 0.056, memory: 52540, decode.loss_ce: 0.1957, decode.acc_seg: 92.0630, loss: 0.1957 +2023-03-04 06:44:19,776 - mmseg - INFO - Exp name: ablation_segformer_mit_b2_segformer_head_unet_fc_small_multi_step_ade_pretrained_freeze_embed_160k_ade20k151_finetune_ema_cos.py +2023-03-04 06:44:19,776 - mmseg - INFO - Iter [84000/160000] lr: 9.375e-06, eta: 5:02:47, time: 0.192, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1899, decode.acc_seg: 92.3069, loss: 0.1899 +2023-03-04 06:44:29,334 - mmseg - INFO - Iter [84050/160000] lr: 9.375e-06, eta: 5:02:33, time: 0.191, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1869, decode.acc_seg: 92.3888, loss: 0.1869 +2023-03-04 06:44:38,939 - mmseg - INFO - Iter [84100/160000] lr: 9.375e-06, eta: 5:02:19, time: 0.192, data_time: 0.007, memory: 52540, decode.loss_ce: 0.2012, decode.acc_seg: 91.6595, loss: 0.2012 +2023-03-04 06:44:48,429 - mmseg - INFO - Iter [84150/160000] lr: 9.375e-06, eta: 5:02:04, time: 0.190, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1845, decode.acc_seg: 92.4576, loss: 0.1845 +2023-03-04 06:44:58,044 - mmseg - INFO - Iter [84200/160000] lr: 9.375e-06, eta: 5:01:50, time: 0.192, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1870, decode.acc_seg: 92.3689, loss: 0.1870 +2023-03-04 06:45:07,548 - mmseg - INFO - Iter [84250/160000] lr: 9.375e-06, eta: 5:01:36, time: 0.190, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1784, decode.acc_seg: 92.6524, loss: 0.1784 +2023-03-04 06:45:17,183 - mmseg - INFO - Iter [84300/160000] lr: 9.375e-06, eta: 5:01:22, time: 0.193, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1899, decode.acc_seg: 92.1528, loss: 0.1899 +2023-03-04 06:45:26,703 - mmseg - INFO - Iter [84350/160000] lr: 9.375e-06, eta: 5:01:08, time: 0.190, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1827, decode.acc_seg: 92.5105, loss: 0.1827 +2023-03-04 06:45:36,179 - mmseg - INFO - Iter [84400/160000] lr: 9.375e-06, eta: 5:00:54, time: 0.190, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1802, decode.acc_seg: 92.6064, loss: 0.1802 +2023-03-04 06:45:45,867 - mmseg - INFO - Iter [84450/160000] lr: 9.375e-06, eta: 5:00:40, time: 0.194, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1936, decode.acc_seg: 91.9584, loss: 0.1936 +2023-03-04 06:45:55,631 - mmseg - INFO - Iter [84500/160000] lr: 9.375e-06, eta: 5:00:26, time: 0.195, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1836, decode.acc_seg: 92.5030, loss: 0.1836 +2023-03-04 06:46:05,480 - mmseg - INFO - Iter [84550/160000] lr: 9.375e-06, eta: 5:00:12, time: 0.197, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1816, decode.acc_seg: 92.4987, loss: 0.1816 +2023-03-04 06:46:17,791 - mmseg - INFO - Iter [84600/160000] lr: 9.375e-06, eta: 5:00:01, time: 0.246, data_time: 0.055, memory: 52540, decode.loss_ce: 0.1873, decode.acc_seg: 92.2801, loss: 0.1873 +2023-03-04 06:46:27,540 - mmseg - INFO - Iter [84650/160000] lr: 9.375e-06, eta: 4:59:47, time: 0.195, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1837, decode.acc_seg: 92.4046, loss: 0.1837 +2023-03-04 06:46:37,583 - mmseg - INFO - Iter [84700/160000] lr: 9.375e-06, eta: 4:59:33, time: 0.201, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1879, decode.acc_seg: 92.1639, loss: 0.1879 +2023-03-04 06:46:47,152 - mmseg - INFO - Iter [84750/160000] lr: 9.375e-06, eta: 4:59:19, time: 0.191, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1845, decode.acc_seg: 92.3069, loss: 0.1845 +2023-03-04 06:46:56,813 - mmseg - INFO - Iter [84800/160000] lr: 9.375e-06, eta: 4:59:05, time: 0.193, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1827, decode.acc_seg: 92.5382, loss: 0.1827 +2023-03-04 06:47:06,531 - mmseg - INFO - Iter [84850/160000] lr: 9.375e-06, eta: 4:58:51, time: 0.194, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1801, decode.acc_seg: 92.5255, loss: 0.1801 +2023-03-04 06:47:16,092 - mmseg - INFO - Iter [84900/160000] lr: 9.375e-06, eta: 4:58:37, time: 0.191, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1876, decode.acc_seg: 92.4163, loss: 0.1876 +2023-03-04 06:47:25,660 - mmseg - INFO - Iter [84950/160000] lr: 9.375e-06, eta: 4:58:23, time: 0.191, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1872, decode.acc_seg: 92.2735, loss: 0.1872 +2023-03-04 06:47:35,325 - mmseg - INFO - Exp name: ablation_segformer_mit_b2_segformer_head_unet_fc_small_multi_step_ade_pretrained_freeze_embed_160k_ade20k151_finetune_ema_cos.py +2023-03-04 06:47:35,326 - mmseg - INFO - Iter [85000/160000] lr: 9.375e-06, eta: 4:58:09, time: 0.193, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1974, decode.acc_seg: 92.0943, loss: 0.1974 +2023-03-04 06:47:44,835 - mmseg - INFO - Iter [85050/160000] lr: 9.375e-06, eta: 4:57:55, time: 0.190, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1936, decode.acc_seg: 92.0967, loss: 0.1936 +2023-03-04 06:47:54,366 - mmseg - INFO - Iter [85100/160000] lr: 9.375e-06, eta: 4:57:41, time: 0.191, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1790, decode.acc_seg: 92.5334, loss: 0.1790 +2023-03-04 06:48:03,955 - mmseg - INFO - Iter [85150/160000] lr: 9.375e-06, eta: 4:57:27, time: 0.192, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1863, decode.acc_seg: 92.2194, loss: 0.1863 +2023-03-04 06:48:16,194 - mmseg - INFO - Iter [85200/160000] lr: 9.375e-06, eta: 4:57:16, time: 0.245, data_time: 0.053, memory: 52540, decode.loss_ce: 0.1912, decode.acc_seg: 92.1513, loss: 0.1912 +2023-03-04 06:48:25,957 - mmseg - INFO - Iter [85250/160000] lr: 9.375e-06, eta: 4:57:02, time: 0.195, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1895, decode.acc_seg: 92.1183, loss: 0.1895 +2023-03-04 06:48:35,597 - mmseg - INFO - Iter [85300/160000] lr: 9.375e-06, eta: 4:56:48, time: 0.193, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1805, decode.acc_seg: 92.3231, loss: 0.1805 +2023-03-04 06:48:45,417 - mmseg - INFO - Iter [85350/160000] lr: 9.375e-06, eta: 4:56:34, time: 0.196, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1875, decode.acc_seg: 92.3822, loss: 0.1875 +2023-03-04 06:48:55,158 - mmseg - INFO - Iter [85400/160000] lr: 9.375e-06, eta: 4:56:20, time: 0.195, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1846, decode.acc_seg: 92.3981, loss: 0.1846 +2023-03-04 06:49:04,840 - mmseg - INFO - Iter [85450/160000] lr: 9.375e-06, eta: 4:56:06, time: 0.194, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1964, decode.acc_seg: 92.0306, loss: 0.1964 +2023-03-04 06:49:14,446 - mmseg - INFO - Iter [85500/160000] lr: 9.375e-06, eta: 4:55:52, time: 0.192, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1856, decode.acc_seg: 92.3127, loss: 0.1856 +2023-03-04 06:49:24,417 - mmseg - INFO - Iter [85550/160000] lr: 9.375e-06, eta: 4:55:39, time: 0.200, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1837, decode.acc_seg: 92.4814, loss: 0.1837 +2023-03-04 06:49:33,961 - mmseg - INFO - Iter [85600/160000] lr: 9.375e-06, eta: 4:55:25, time: 0.191, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1866, decode.acc_seg: 92.3003, loss: 0.1866 +2023-03-04 06:49:43,499 - mmseg - INFO - Iter [85650/160000] lr: 9.375e-06, eta: 4:55:11, time: 0.191, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1889, decode.acc_seg: 92.3173, loss: 0.1889 +2023-03-04 06:49:53,338 - mmseg - INFO - Iter [85700/160000] lr: 9.375e-06, eta: 4:54:57, time: 0.197, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1820, decode.acc_seg: 92.5295, loss: 0.1820 +2023-03-04 06:50:02,844 - mmseg - INFO - Iter [85750/160000] lr: 9.375e-06, eta: 4:54:43, time: 0.190, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1804, decode.acc_seg: 92.4464, loss: 0.1804 +2023-03-04 06:50:12,479 - mmseg - INFO - Iter [85800/160000] lr: 9.375e-06, eta: 4:54:29, time: 0.193, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1842, decode.acc_seg: 92.4496, loss: 0.1842 +2023-03-04 06:50:24,560 - mmseg - INFO - Iter [85850/160000] lr: 9.375e-06, eta: 4:54:18, time: 0.242, data_time: 0.055, memory: 52540, decode.loss_ce: 0.1894, decode.acc_seg: 92.2770, loss: 0.1894 +2023-03-04 06:50:34,231 - mmseg - INFO - Iter [85900/160000] lr: 9.375e-06, eta: 4:54:04, time: 0.193, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1843, decode.acc_seg: 92.4050, loss: 0.1843 +2023-03-04 06:50:43,759 - mmseg - INFO - Iter [85950/160000] lr: 9.375e-06, eta: 4:53:50, time: 0.191, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1950, decode.acc_seg: 92.0849, loss: 0.1950 +2023-03-04 06:50:53,288 - mmseg - INFO - Exp name: ablation_segformer_mit_b2_segformer_head_unet_fc_small_multi_step_ade_pretrained_freeze_embed_160k_ade20k151_finetune_ema_cos.py +2023-03-04 06:50:53,288 - mmseg - INFO - Iter [86000/160000] lr: 9.375e-06, eta: 4:53:36, time: 0.191, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1811, decode.acc_seg: 92.6841, loss: 0.1811 +2023-03-04 06:51:03,074 - mmseg - INFO - Iter [86050/160000] lr: 9.375e-06, eta: 4:53:22, time: 0.196, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1893, decode.acc_seg: 92.0776, loss: 0.1893 +2023-03-04 06:51:12,861 - mmseg - INFO - Iter [86100/160000] lr: 9.375e-06, eta: 4:53:08, time: 0.195, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1957, decode.acc_seg: 91.9680, loss: 0.1957 +2023-03-04 06:51:22,633 - mmseg - INFO - Iter [86150/160000] lr: 9.375e-06, eta: 4:52:55, time: 0.196, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1891, decode.acc_seg: 92.2600, loss: 0.1891 +2023-03-04 06:51:32,292 - mmseg - INFO - Iter [86200/160000] lr: 9.375e-06, eta: 4:52:41, time: 0.193, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1878, decode.acc_seg: 92.1997, loss: 0.1878 +2023-03-04 06:51:41,970 - mmseg - INFO - Iter [86250/160000] lr: 9.375e-06, eta: 4:52:27, time: 0.194, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1891, decode.acc_seg: 92.2534, loss: 0.1891 +2023-03-04 06:51:51,746 - mmseg - INFO - Iter [86300/160000] lr: 9.375e-06, eta: 4:52:13, time: 0.196, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1911, decode.acc_seg: 92.2115, loss: 0.1911 +2023-03-04 06:52:01,264 - mmseg - INFO - Iter [86350/160000] lr: 9.375e-06, eta: 4:51:59, time: 0.190, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1877, decode.acc_seg: 92.2744, loss: 0.1877 +2023-03-04 06:52:10,887 - mmseg - INFO - Iter [86400/160000] lr: 9.375e-06, eta: 4:51:46, time: 0.192, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1831, decode.acc_seg: 92.5284, loss: 0.1831 +2023-03-04 06:52:23,144 - mmseg - INFO - Iter [86450/160000] lr: 9.375e-06, eta: 4:51:34, time: 0.245, data_time: 0.053, memory: 52540, decode.loss_ce: 0.1925, decode.acc_seg: 92.2684, loss: 0.1925 +2023-03-04 06:52:32,989 - mmseg - INFO - Iter [86500/160000] lr: 9.375e-06, eta: 4:51:20, time: 0.197, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1867, decode.acc_seg: 92.1695, loss: 0.1867 +2023-03-04 06:52:42,491 - mmseg - INFO - Iter [86550/160000] lr: 9.375e-06, eta: 4:51:06, time: 0.190, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1881, decode.acc_seg: 92.2694, loss: 0.1881 +2023-03-04 06:52:52,131 - mmseg - INFO - Iter [86600/160000] lr: 9.375e-06, eta: 4:50:53, time: 0.193, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1868, decode.acc_seg: 92.3815, loss: 0.1868 +2023-03-04 06:53:02,118 - mmseg - INFO - Iter [86650/160000] lr: 9.375e-06, eta: 4:50:39, time: 0.200, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1888, decode.acc_seg: 92.2043, loss: 0.1888 +2023-03-04 06:53:11,889 - mmseg - INFO - Iter [86700/160000] lr: 9.375e-06, eta: 4:50:25, time: 0.195, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1907, decode.acc_seg: 92.1151, loss: 0.1907 +2023-03-04 06:53:21,544 - mmseg - INFO - Iter [86750/160000] lr: 9.375e-06, eta: 4:50:12, time: 0.193, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1879, decode.acc_seg: 92.2471, loss: 0.1879 +2023-03-04 06:53:31,134 - mmseg - INFO - Iter [86800/160000] lr: 9.375e-06, eta: 4:49:58, time: 0.192, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1861, decode.acc_seg: 92.2686, loss: 0.1861 +2023-03-04 06:53:40,932 - mmseg - INFO - Iter [86850/160000] lr: 9.375e-06, eta: 4:49:44, time: 0.196, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1875, decode.acc_seg: 92.2807, loss: 0.1875 +2023-03-04 06:53:50,618 - mmseg - INFO - Iter [86900/160000] lr: 9.375e-06, eta: 4:49:31, time: 0.194, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1907, decode.acc_seg: 92.2212, loss: 0.1907 +2023-03-04 06:54:00,369 - mmseg - INFO - Iter [86950/160000] lr: 9.375e-06, eta: 4:49:17, time: 0.195, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1903, decode.acc_seg: 92.2053, loss: 0.1903 +2023-03-04 06:54:09,996 - mmseg - INFO - Exp name: ablation_segformer_mit_b2_segformer_head_unet_fc_small_multi_step_ade_pretrained_freeze_embed_160k_ade20k151_finetune_ema_cos.py +2023-03-04 06:54:09,996 - mmseg - INFO - Iter [87000/160000] lr: 9.375e-06, eta: 4:49:03, time: 0.193, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1861, decode.acc_seg: 92.4215, loss: 0.1861 +2023-03-04 06:54:19,694 - mmseg - INFO - Iter [87050/160000] lr: 9.375e-06, eta: 4:48:49, time: 0.194, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1773, decode.acc_seg: 92.7120, loss: 0.1773 +2023-03-04 06:54:31,641 - mmseg - INFO - Iter [87100/160000] lr: 9.375e-06, eta: 4:48:38, time: 0.239, data_time: 0.051, memory: 52540, decode.loss_ce: 0.1944, decode.acc_seg: 92.0645, loss: 0.1944 +2023-03-04 06:54:41,379 - mmseg - INFO - Iter [87150/160000] lr: 9.375e-06, eta: 4:48:24, time: 0.195, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1876, decode.acc_seg: 92.3270, loss: 0.1876 +2023-03-04 06:54:51,120 - mmseg - INFO - Iter [87200/160000] lr: 9.375e-06, eta: 4:48:10, time: 0.195, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1962, decode.acc_seg: 92.0161, loss: 0.1962 +2023-03-04 06:55:01,040 - mmseg - INFO - Iter [87250/160000] lr: 9.375e-06, eta: 4:47:57, time: 0.198, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1922, decode.acc_seg: 92.1557, loss: 0.1922 +2023-03-04 06:55:10,586 - mmseg - INFO - Iter [87300/160000] lr: 9.375e-06, eta: 4:47:43, time: 0.191, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1885, decode.acc_seg: 92.2832, loss: 0.1885 +2023-03-04 06:55:20,080 - mmseg - INFO - Iter [87350/160000] lr: 9.375e-06, eta: 4:47:29, time: 0.190, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1840, decode.acc_seg: 92.4973, loss: 0.1840 +2023-03-04 06:55:29,807 - mmseg - INFO - Iter [87400/160000] lr: 9.375e-06, eta: 4:47:15, time: 0.195, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1915, decode.acc_seg: 92.0591, loss: 0.1915 +2023-03-04 06:55:39,475 - mmseg - INFO - Iter [87450/160000] lr: 9.375e-06, eta: 4:47:02, time: 0.193, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1831, decode.acc_seg: 92.4135, loss: 0.1831 +2023-03-04 06:55:48,971 - mmseg - INFO - Iter [87500/160000] lr: 9.375e-06, eta: 4:46:48, time: 0.190, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1885, decode.acc_seg: 92.3791, loss: 0.1885 +2023-03-04 06:55:58,547 - mmseg - INFO - Iter [87550/160000] lr: 9.375e-06, eta: 4:46:34, time: 0.191, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1830, decode.acc_seg: 92.3104, loss: 0.1830 +2023-03-04 06:56:08,187 - mmseg - INFO - Iter [87600/160000] lr: 9.375e-06, eta: 4:46:20, time: 0.193, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1845, decode.acc_seg: 92.5163, loss: 0.1845 +2023-03-04 06:56:17,828 - mmseg - INFO - Iter [87650/160000] lr: 9.375e-06, eta: 4:46:07, time: 0.193, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1963, decode.acc_seg: 92.1228, loss: 0.1963 +2023-03-04 06:56:27,339 - mmseg - INFO - Iter [87700/160000] lr: 9.375e-06, eta: 4:45:53, time: 0.190, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1801, decode.acc_seg: 92.5597, loss: 0.1801 +2023-03-04 06:56:39,837 - mmseg - INFO - Iter [87750/160000] lr: 9.375e-06, eta: 4:45:42, time: 0.250, data_time: 0.054, memory: 52540, decode.loss_ce: 0.1988, decode.acc_seg: 92.0237, loss: 0.1988 +2023-03-04 06:56:49,467 - mmseg - INFO - Iter [87800/160000] lr: 9.375e-06, eta: 4:45:28, time: 0.193, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1880, decode.acc_seg: 92.2096, loss: 0.1880 +2023-03-04 06:56:58,985 - mmseg - INFO - Iter [87850/160000] lr: 9.375e-06, eta: 4:45:14, time: 0.190, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1849, decode.acc_seg: 92.2879, loss: 0.1849 +2023-03-04 06:57:08,754 - mmseg - INFO - Iter [87900/160000] lr: 9.375e-06, eta: 4:45:01, time: 0.195, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1826, decode.acc_seg: 92.3995, loss: 0.1826 +2023-03-04 06:57:18,366 - mmseg - INFO - Iter [87950/160000] lr: 9.375e-06, eta: 4:44:47, time: 0.192, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1834, decode.acc_seg: 92.5117, loss: 0.1834 +2023-03-04 06:57:27,976 - mmseg - INFO - Exp name: ablation_segformer_mit_b2_segformer_head_unet_fc_small_multi_step_ade_pretrained_freeze_embed_160k_ade20k151_finetune_ema_cos.py +2023-03-04 06:57:27,977 - mmseg - INFO - Iter [88000/160000] lr: 9.375e-06, eta: 4:44:33, time: 0.192, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1807, decode.acc_seg: 92.6017, loss: 0.1807 +2023-03-04 06:57:37,579 - mmseg - INFO - Iter [88050/160000] lr: 9.375e-06, eta: 4:44:19, time: 0.192, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1896, decode.acc_seg: 91.9625, loss: 0.1896 +2023-03-04 06:57:47,188 - mmseg - INFO - Iter [88100/160000] lr: 9.375e-06, eta: 4:44:06, time: 0.192, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1902, decode.acc_seg: 92.1365, loss: 0.1902 +2023-03-04 06:57:57,126 - mmseg - INFO - Iter [88150/160000] lr: 9.375e-06, eta: 4:43:52, time: 0.199, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1871, decode.acc_seg: 92.3605, loss: 0.1871 +2023-03-04 06:58:06,940 - mmseg - INFO - Iter [88200/160000] lr: 9.375e-06, eta: 4:43:39, time: 0.196, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1854, decode.acc_seg: 92.3640, loss: 0.1854 +2023-03-04 06:58:16,957 - mmseg - INFO - Iter [88250/160000] lr: 9.375e-06, eta: 4:43:25, time: 0.200, data_time: 0.006, memory: 52540, decode.loss_ce: 0.1932, decode.acc_seg: 92.2059, loss: 0.1932 +2023-03-04 06:58:26,521 - mmseg - INFO - Iter [88300/160000] lr: 9.375e-06, eta: 4:43:12, time: 0.191, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1838, decode.acc_seg: 92.3995, loss: 0.1838 +2023-03-04 06:58:38,825 - mmseg - INFO - Iter [88350/160000] lr: 9.375e-06, eta: 4:43:00, time: 0.246, data_time: 0.054, memory: 52540, decode.loss_ce: 0.1811, decode.acc_seg: 92.5289, loss: 0.1811 +2023-03-04 06:58:48,527 - mmseg - INFO - Iter [88400/160000] lr: 9.375e-06, eta: 4:42:47, time: 0.194, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1823, decode.acc_seg: 92.4334, loss: 0.1823 +2023-03-04 06:58:58,076 - mmseg - INFO - Iter [88450/160000] lr: 9.375e-06, eta: 4:42:33, time: 0.191, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1855, decode.acc_seg: 92.4416, loss: 0.1855 +2023-03-04 06:59:07,941 - mmseg - INFO - Iter [88500/160000] lr: 9.375e-06, eta: 4:42:20, time: 0.197, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1884, decode.acc_seg: 92.1978, loss: 0.1884 +2023-03-04 06:59:17,614 - mmseg - INFO - Iter [88550/160000] lr: 9.375e-06, eta: 4:42:06, time: 0.193, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1825, decode.acc_seg: 92.4411, loss: 0.1825 +2023-03-04 06:59:27,174 - mmseg - INFO - Iter [88600/160000] lr: 9.375e-06, eta: 4:41:52, time: 0.191, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1816, decode.acc_seg: 92.5294, loss: 0.1816 +2023-03-04 06:59:36,984 - mmseg - INFO - Iter [88650/160000] lr: 9.375e-06, eta: 4:41:39, time: 0.196, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1880, decode.acc_seg: 92.2791, loss: 0.1880 +2023-03-04 06:59:46,567 - mmseg - INFO - Iter [88700/160000] lr: 9.375e-06, eta: 4:41:25, time: 0.191, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1805, decode.acc_seg: 92.5426, loss: 0.1805 +2023-03-04 06:59:56,272 - mmseg - INFO - Iter [88750/160000] lr: 9.375e-06, eta: 4:41:12, time: 0.194, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1909, decode.acc_seg: 92.0296, loss: 0.1909 +2023-03-04 07:00:05,832 - mmseg - INFO - Iter [88800/160000] lr: 9.375e-06, eta: 4:40:58, time: 0.191, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1928, decode.acc_seg: 92.2325, loss: 0.1928 +2023-03-04 07:00:15,390 - mmseg - INFO - Iter [88850/160000] lr: 9.375e-06, eta: 4:40:44, time: 0.191, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1926, decode.acc_seg: 92.1111, loss: 0.1926 +2023-03-04 07:00:25,104 - mmseg - INFO - Iter [88900/160000] lr: 9.375e-06, eta: 4:40:31, time: 0.194, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1866, decode.acc_seg: 92.4852, loss: 0.1866 +2023-03-04 07:00:34,808 - mmseg - INFO - Iter [88950/160000] lr: 9.375e-06, eta: 4:40:17, time: 0.194, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1923, decode.acc_seg: 92.0776, loss: 0.1923 +2023-03-04 07:00:47,032 - mmseg - INFO - Exp name: ablation_segformer_mit_b2_segformer_head_unet_fc_small_multi_step_ade_pretrained_freeze_embed_160k_ade20k151_finetune_ema_cos.py +2023-03-04 07:00:47,032 - mmseg - INFO - Iter [89000/160000] lr: 9.375e-06, eta: 4:40:06, time: 0.244, data_time: 0.054, memory: 52540, decode.loss_ce: 0.1823, decode.acc_seg: 92.4386, loss: 0.1823 +2023-03-04 07:00:56,597 - mmseg - INFO - Iter [89050/160000] lr: 9.375e-06, eta: 4:39:52, time: 0.191, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1883, decode.acc_seg: 92.3523, loss: 0.1883 +2023-03-04 07:01:06,124 - mmseg - INFO - Iter [89100/160000] lr: 9.375e-06, eta: 4:39:38, time: 0.191, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1899, decode.acc_seg: 92.2077, loss: 0.1899 +2023-03-04 07:01:15,743 - mmseg - INFO - Iter [89150/160000] lr: 9.375e-06, eta: 4:39:25, time: 0.192, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1820, decode.acc_seg: 92.4718, loss: 0.1820 +2023-03-04 07:01:25,538 - mmseg - INFO - Iter [89200/160000] lr: 9.375e-06, eta: 4:39:11, time: 0.196, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1883, decode.acc_seg: 92.4694, loss: 0.1883 +2023-03-04 07:01:35,123 - mmseg - INFO - Iter [89250/160000] lr: 9.375e-06, eta: 4:38:58, time: 0.192, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1728, decode.acc_seg: 92.8836, loss: 0.1728 +2023-03-04 07:01:44,700 - mmseg - INFO - Iter [89300/160000] lr: 9.375e-06, eta: 4:38:44, time: 0.192, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1875, decode.acc_seg: 92.3506, loss: 0.1875 +2023-03-04 07:01:54,234 - mmseg - INFO - Iter [89350/160000] lr: 9.375e-06, eta: 4:38:30, time: 0.191, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1869, decode.acc_seg: 92.2885, loss: 0.1869 +2023-03-04 07:02:03,936 - mmseg - INFO - Iter [89400/160000] lr: 9.375e-06, eta: 4:38:17, time: 0.194, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1833, decode.acc_seg: 92.5000, loss: 0.1833 +2023-03-04 07:02:13,590 - mmseg - INFO - Iter [89450/160000] lr: 9.375e-06, eta: 4:38:03, time: 0.193, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1898, decode.acc_seg: 92.1632, loss: 0.1898 +2023-03-04 07:02:23,185 - mmseg - INFO - Iter [89500/160000] lr: 9.375e-06, eta: 4:37:50, time: 0.192, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1884, decode.acc_seg: 92.3512, loss: 0.1884 +2023-03-04 07:02:32,931 - mmseg - INFO - Iter [89550/160000] lr: 9.375e-06, eta: 4:37:36, time: 0.195, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1924, decode.acc_seg: 92.1170, loss: 0.1924 +2023-03-04 07:02:42,444 - mmseg - INFO - Iter [89600/160000] lr: 9.375e-06, eta: 4:37:23, time: 0.190, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1853, decode.acc_seg: 92.1971, loss: 0.1853 +2023-03-04 07:02:54,709 - mmseg - INFO - Iter [89650/160000] lr: 9.375e-06, eta: 4:37:11, time: 0.245, data_time: 0.052, memory: 52540, decode.loss_ce: 0.1895, decode.acc_seg: 92.1213, loss: 0.1895 +2023-03-04 07:03:04,643 - mmseg - INFO - Iter [89700/160000] lr: 9.375e-06, eta: 4:36:58, time: 0.199, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1962, decode.acc_seg: 91.8918, loss: 0.1962 +2023-03-04 07:03:14,188 - mmseg - INFO - Iter [89750/160000] lr: 9.375e-06, eta: 4:36:44, time: 0.191, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1853, decode.acc_seg: 92.4883, loss: 0.1853 +2023-03-04 07:03:23,776 - mmseg - INFO - Iter [89800/160000] lr: 9.375e-06, eta: 4:36:31, time: 0.192, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1789, decode.acc_seg: 92.5478, loss: 0.1789 +2023-03-04 07:03:33,702 - mmseg - INFO - Iter [89850/160000] lr: 9.375e-06, eta: 4:36:17, time: 0.199, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1893, decode.acc_seg: 92.1507, loss: 0.1893 +2023-03-04 07:03:43,384 - mmseg - INFO - Iter [89900/160000] lr: 9.375e-06, eta: 4:36:04, time: 0.194, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1856, decode.acc_seg: 92.3761, loss: 0.1856 +2023-03-04 07:03:53,135 - mmseg - INFO - Iter [89950/160000] lr: 9.375e-06, eta: 4:35:51, time: 0.195, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1867, decode.acc_seg: 92.2228, loss: 0.1867 +2023-03-04 07:04:02,823 - mmseg - INFO - Exp name: ablation_segformer_mit_b2_segformer_head_unet_fc_small_multi_step_ade_pretrained_freeze_embed_160k_ade20k151_finetune_ema_cos.py +2023-03-04 07:04:02,824 - mmseg - INFO - Iter [90000/160000] lr: 9.375e-06, eta: 4:35:37, time: 0.194, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1914, decode.acc_seg: 92.1822, loss: 0.1914 +2023-03-04 07:04:12,625 - mmseg - INFO - Iter [90050/160000] lr: 9.375e-06, eta: 4:35:24, time: 0.196, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1946, decode.acc_seg: 91.9264, loss: 0.1946 +2023-03-04 07:04:22,600 - mmseg - INFO - Iter [90100/160000] lr: 9.375e-06, eta: 4:35:10, time: 0.200, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1852, decode.acc_seg: 92.2647, loss: 0.1852 +2023-03-04 07:04:32,354 - mmseg - INFO - Iter [90150/160000] lr: 9.375e-06, eta: 4:34:57, time: 0.195, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1864, decode.acc_seg: 92.1861, loss: 0.1864 +2023-03-04 07:04:42,003 - mmseg - INFO - Iter [90200/160000] lr: 9.375e-06, eta: 4:34:44, time: 0.193, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1803, decode.acc_seg: 92.5538, loss: 0.1803 +2023-03-04 07:04:54,293 - mmseg - INFO - Iter [90250/160000] lr: 9.375e-06, eta: 4:34:32, time: 0.246, data_time: 0.054, memory: 52540, decode.loss_ce: 0.1906, decode.acc_seg: 92.1976, loss: 0.1906 +2023-03-04 07:05:04,309 - mmseg - INFO - Iter [90300/160000] lr: 9.375e-06, eta: 4:34:19, time: 0.200, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1843, decode.acc_seg: 92.3522, loss: 0.1843 +2023-03-04 07:05:13,853 - mmseg - INFO - Iter [90350/160000] lr: 9.375e-06, eta: 4:34:05, time: 0.191, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1802, decode.acc_seg: 92.5483, loss: 0.1802 +2023-03-04 07:05:23,759 - mmseg - INFO - Iter [90400/160000] lr: 9.375e-06, eta: 4:33:52, time: 0.198, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1850, decode.acc_seg: 92.2974, loss: 0.1850 +2023-03-04 07:05:33,539 - mmseg - INFO - Iter [90450/160000] lr: 9.375e-06, eta: 4:33:39, time: 0.196, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1917, decode.acc_seg: 92.1515, loss: 0.1917 +2023-03-04 07:05:43,149 - mmseg - INFO - Iter [90500/160000] lr: 9.375e-06, eta: 4:33:25, time: 0.192, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1868, decode.acc_seg: 92.2635, loss: 0.1868 +2023-03-04 07:05:52,956 - mmseg - INFO - Iter [90550/160000] lr: 9.375e-06, eta: 4:33:12, time: 0.196, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1821, decode.acc_seg: 92.4813, loss: 0.1821 +2023-03-04 07:06:02,686 - mmseg - INFO - Iter [90600/160000] lr: 9.375e-06, eta: 4:32:59, time: 0.194, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1905, decode.acc_seg: 91.9875, loss: 0.1905 +2023-03-04 07:06:12,572 - mmseg - INFO - Iter [90650/160000] lr: 9.375e-06, eta: 4:32:45, time: 0.198, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1812, decode.acc_seg: 92.4564, loss: 0.1812 +2023-03-04 07:06:22,177 - mmseg - INFO - Iter [90700/160000] lr: 9.375e-06, eta: 4:32:32, time: 0.192, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1885, decode.acc_seg: 92.3498, loss: 0.1885 +2023-03-04 07:06:31,714 - mmseg - INFO - Iter [90750/160000] lr: 9.375e-06, eta: 4:32:18, time: 0.191, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1824, decode.acc_seg: 92.4937, loss: 0.1824 +2023-03-04 07:06:41,597 - mmseg - INFO - Iter [90800/160000] lr: 9.375e-06, eta: 4:32:05, time: 0.198, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1847, decode.acc_seg: 92.3764, loss: 0.1847 +2023-03-04 07:06:51,212 - mmseg - INFO - Iter [90850/160000] lr: 9.375e-06, eta: 4:31:52, time: 0.192, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1862, decode.acc_seg: 92.1605, loss: 0.1862 +2023-03-04 07:07:03,290 - mmseg - INFO - Iter [90900/160000] lr: 9.375e-06, eta: 4:31:40, time: 0.242, data_time: 0.054, memory: 52540, decode.loss_ce: 0.1838, decode.acc_seg: 92.4293, loss: 0.1838 +2023-03-04 07:07:12,799 - mmseg - INFO - Iter [90950/160000] lr: 9.375e-06, eta: 4:31:26, time: 0.190, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1906, decode.acc_seg: 92.0412, loss: 0.1906 +2023-03-04 07:07:22,455 - mmseg - INFO - Exp name: ablation_segformer_mit_b2_segformer_head_unet_fc_small_multi_step_ade_pretrained_freeze_embed_160k_ade20k151_finetune_ema_cos.py +2023-03-04 07:07:22,455 - mmseg - INFO - Iter [91000/160000] lr: 9.375e-06, eta: 4:31:13, time: 0.193, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1914, decode.acc_seg: 91.9791, loss: 0.1914 +2023-03-04 07:07:32,203 - mmseg - INFO - Iter [91050/160000] lr: 9.375e-06, eta: 4:31:00, time: 0.195, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1796, decode.acc_seg: 92.4778, loss: 0.1796 +2023-03-04 07:07:41,717 - mmseg - INFO - Iter [91100/160000] lr: 9.375e-06, eta: 4:30:46, time: 0.190, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1930, decode.acc_seg: 92.0365, loss: 0.1930 +2023-03-04 07:07:51,552 - mmseg - INFO - Iter [91150/160000] lr: 9.375e-06, eta: 4:30:33, time: 0.197, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1774, decode.acc_seg: 92.5402, loss: 0.1774 +2023-03-04 07:08:01,098 - mmseg - INFO - Iter [91200/160000] lr: 9.375e-06, eta: 4:30:19, time: 0.191, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1836, decode.acc_seg: 92.3967, loss: 0.1836 +2023-03-04 07:08:10,718 - mmseg - INFO - Iter [91250/160000] lr: 9.375e-06, eta: 4:30:06, time: 0.192, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1832, decode.acc_seg: 92.4093, loss: 0.1832 +2023-03-04 07:08:20,544 - mmseg - INFO - Iter [91300/160000] lr: 9.375e-06, eta: 4:29:53, time: 0.197, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1890, decode.acc_seg: 92.2344, loss: 0.1890 +2023-03-04 07:08:30,441 - mmseg - INFO - Iter [91350/160000] lr: 9.375e-06, eta: 4:29:40, time: 0.198, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1869, decode.acc_seg: 92.4023, loss: 0.1869 +2023-03-04 07:08:40,087 - mmseg - INFO - Iter [91400/160000] lr: 9.375e-06, eta: 4:29:26, time: 0.193, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1851, decode.acc_seg: 92.4520, loss: 0.1851 +2023-03-04 07:08:49,980 - mmseg - INFO - Iter [91450/160000] lr: 9.375e-06, eta: 4:29:13, time: 0.198, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1831, decode.acc_seg: 92.4343, loss: 0.1831 +2023-03-04 07:09:02,266 - mmseg - INFO - Iter [91500/160000] lr: 9.375e-06, eta: 4:29:02, time: 0.246, data_time: 0.053, memory: 52540, decode.loss_ce: 0.1894, decode.acc_seg: 92.2414, loss: 0.1894 +2023-03-04 07:09:11,817 - mmseg - INFO - Iter [91550/160000] lr: 9.375e-06, eta: 4:28:48, time: 0.191, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1813, decode.acc_seg: 92.5784, loss: 0.1813 +2023-03-04 07:09:21,474 - mmseg - INFO - Iter [91600/160000] lr: 9.375e-06, eta: 4:28:35, time: 0.193, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1905, decode.acc_seg: 92.1291, loss: 0.1905 +2023-03-04 07:09:31,529 - mmseg - INFO - Iter [91650/160000] lr: 9.375e-06, eta: 4:28:22, time: 0.201, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1875, decode.acc_seg: 92.4411, loss: 0.1875 +2023-03-04 07:09:41,056 - mmseg - INFO - Iter [91700/160000] lr: 9.375e-06, eta: 4:28:08, time: 0.191, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1865, decode.acc_seg: 92.3894, loss: 0.1865 +2023-03-04 07:09:50,539 - mmseg - INFO - Iter [91750/160000] lr: 9.375e-06, eta: 4:27:55, time: 0.190, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1908, decode.acc_seg: 92.2109, loss: 0.1908 +2023-03-04 07:10:00,379 - mmseg - INFO - Iter [91800/160000] lr: 9.375e-06, eta: 4:27:42, time: 0.197, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1910, decode.acc_seg: 92.2774, loss: 0.1910 +2023-03-04 07:10:09,924 - mmseg - INFO - Iter [91850/160000] lr: 9.375e-06, eta: 4:27:28, time: 0.191, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1903, decode.acc_seg: 92.1595, loss: 0.1903 +2023-03-04 07:10:19,544 - mmseg - INFO - Iter [91900/160000] lr: 9.375e-06, eta: 4:27:15, time: 0.192, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1864, decode.acc_seg: 92.3910, loss: 0.1864 +2023-03-04 07:10:29,409 - mmseg - INFO - Iter [91950/160000] lr: 9.375e-06, eta: 4:27:02, time: 0.197, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1871, decode.acc_seg: 92.2864, loss: 0.1871 +2023-03-04 07:10:39,151 - mmseg - INFO - Exp name: ablation_segformer_mit_b2_segformer_head_unet_fc_small_multi_step_ade_pretrained_freeze_embed_160k_ade20k151_finetune_ema_cos.py +2023-03-04 07:10:39,152 - mmseg - INFO - Iter [92000/160000] lr: 9.375e-06, eta: 4:26:48, time: 0.195, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1898, decode.acc_seg: 92.1356, loss: 0.1898 +2023-03-04 07:10:49,149 - mmseg - INFO - Iter [92050/160000] lr: 9.375e-06, eta: 4:26:35, time: 0.200, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1787, decode.acc_seg: 92.5487, loss: 0.1787 +2023-03-04 07:10:58,769 - mmseg - INFO - Iter [92100/160000] lr: 9.375e-06, eta: 4:26:22, time: 0.192, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1879, decode.acc_seg: 92.3216, loss: 0.1879 +2023-03-04 07:11:11,132 - mmseg - INFO - Iter [92150/160000] lr: 9.375e-06, eta: 4:26:10, time: 0.247, data_time: 0.055, memory: 52540, decode.loss_ce: 0.1912, decode.acc_seg: 92.0133, loss: 0.1912 +2023-03-04 07:11:20,973 - mmseg - INFO - Iter [92200/160000] lr: 9.375e-06, eta: 4:25:57, time: 0.197, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1891, decode.acc_seg: 92.1848, loss: 0.1891 +2023-03-04 07:11:30,628 - mmseg - INFO - Iter [92250/160000] lr: 9.375e-06, eta: 4:25:44, time: 0.193, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1811, decode.acc_seg: 92.5144, loss: 0.1811 +2023-03-04 07:11:40,414 - mmseg - INFO - Iter [92300/160000] lr: 9.375e-06, eta: 4:25:31, time: 0.196, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1806, decode.acc_seg: 92.5605, loss: 0.1806 +2023-03-04 07:11:50,034 - mmseg - INFO - Iter [92350/160000] lr: 9.375e-06, eta: 4:25:17, time: 0.192, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1814, decode.acc_seg: 92.4565, loss: 0.1814 +2023-03-04 07:11:59,703 - mmseg - INFO - Iter [92400/160000] lr: 9.375e-06, eta: 4:25:04, time: 0.193, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1893, decode.acc_seg: 92.2178, loss: 0.1893 +2023-03-04 07:12:09,469 - mmseg - INFO - Iter [92450/160000] lr: 9.375e-06, eta: 4:24:51, time: 0.196, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1856, decode.acc_seg: 92.3498, loss: 0.1856 +2023-03-04 07:12:19,158 - mmseg - INFO - Iter [92500/160000] lr: 9.375e-06, eta: 4:24:38, time: 0.194, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1877, decode.acc_seg: 92.2080, loss: 0.1877 +2023-03-04 07:12:28,982 - mmseg - INFO - Iter [92550/160000] lr: 9.375e-06, eta: 4:24:24, time: 0.196, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1842, decode.acc_seg: 92.4873, loss: 0.1842 +2023-03-04 07:12:38,717 - mmseg - INFO - Iter [92600/160000] lr: 9.375e-06, eta: 4:24:11, time: 0.195, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1867, decode.acc_seg: 92.2512, loss: 0.1867 +2023-03-04 07:12:48,233 - mmseg - INFO - Iter [92650/160000] lr: 9.375e-06, eta: 4:23:58, time: 0.190, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1919, decode.acc_seg: 92.2034, loss: 0.1919 +2023-03-04 07:12:58,483 - mmseg - INFO - Iter [92700/160000] lr: 9.375e-06, eta: 4:23:45, time: 0.205, data_time: 0.006, memory: 52540, decode.loss_ce: 0.1869, decode.acc_seg: 92.2124, loss: 0.1869 +2023-03-04 07:13:08,253 - mmseg - INFO - Iter [92750/160000] lr: 9.375e-06, eta: 4:23:32, time: 0.196, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1834, decode.acc_seg: 92.3798, loss: 0.1834 +2023-03-04 07:13:20,410 - mmseg - INFO - Iter [92800/160000] lr: 9.375e-06, eta: 4:23:20, time: 0.243, data_time: 0.056, memory: 52540, decode.loss_ce: 0.1917, decode.acc_seg: 92.2392, loss: 0.1917 +2023-03-04 07:13:30,167 - mmseg - INFO - Iter [92850/160000] lr: 9.375e-06, eta: 4:23:07, time: 0.195, data_time: 0.006, memory: 52540, decode.loss_ce: 0.1813, decode.acc_seg: 92.5583, loss: 0.1813 +2023-03-04 07:13:40,042 - mmseg - INFO - Iter [92900/160000] lr: 9.375e-06, eta: 4:22:54, time: 0.198, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1907, decode.acc_seg: 92.3228, loss: 0.1907 +2023-03-04 07:13:49,583 - mmseg - INFO - Iter [92950/160000] lr: 9.375e-06, eta: 4:22:41, time: 0.191, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1893, decode.acc_seg: 92.3040, loss: 0.1893 +2023-03-04 07:13:59,141 - mmseg - INFO - Exp name: ablation_segformer_mit_b2_segformer_head_unet_fc_small_multi_step_ade_pretrained_freeze_embed_160k_ade20k151_finetune_ema_cos.py +2023-03-04 07:13:59,141 - mmseg - INFO - Iter [93000/160000] lr: 9.375e-06, eta: 4:22:27, time: 0.191, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1894, decode.acc_seg: 92.3642, loss: 0.1894 +2023-03-04 07:14:08,753 - mmseg - INFO - Iter [93050/160000] lr: 9.375e-06, eta: 4:22:14, time: 0.192, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1834, decode.acc_seg: 92.2867, loss: 0.1834 +2023-03-04 07:14:18,374 - mmseg - INFO - Iter [93100/160000] lr: 9.375e-06, eta: 4:22:01, time: 0.192, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1800, decode.acc_seg: 92.5151, loss: 0.1800 +2023-03-04 07:14:28,079 - mmseg - INFO - Iter [93150/160000] lr: 9.375e-06, eta: 4:21:48, time: 0.194, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1898, decode.acc_seg: 92.3773, loss: 0.1898 +2023-03-04 07:14:37,642 - mmseg - INFO - Iter [93200/160000] lr: 9.375e-06, eta: 4:21:34, time: 0.191, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1878, decode.acc_seg: 92.1772, loss: 0.1878 +2023-03-04 07:14:47,336 - mmseg - INFO - Iter [93250/160000] lr: 9.375e-06, eta: 4:21:21, time: 0.194, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1865, decode.acc_seg: 92.3089, loss: 0.1865 +2023-03-04 07:14:56,935 - mmseg - INFO - Iter [93300/160000] lr: 9.375e-06, eta: 4:21:08, time: 0.192, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1835, decode.acc_seg: 92.3952, loss: 0.1835 +2023-03-04 07:15:06,676 - mmseg - INFO - Iter [93350/160000] lr: 9.375e-06, eta: 4:20:55, time: 0.195, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1880, decode.acc_seg: 92.3280, loss: 0.1880 +2023-03-04 07:15:18,823 - mmseg - INFO - Iter [93400/160000] lr: 9.375e-06, eta: 4:20:43, time: 0.243, data_time: 0.056, memory: 52540, decode.loss_ce: 0.1895, decode.acc_seg: 92.0362, loss: 0.1895 +2023-03-04 07:15:28,695 - mmseg - INFO - Iter [93450/160000] lr: 9.375e-06, eta: 4:20:30, time: 0.197, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1877, decode.acc_seg: 92.3576, loss: 0.1877 +2023-03-04 07:15:38,486 - mmseg - INFO - Iter [93500/160000] lr: 9.375e-06, eta: 4:20:17, time: 0.196, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1853, decode.acc_seg: 92.3893, loss: 0.1853 +2023-03-04 07:15:48,082 - mmseg - INFO - Iter [93550/160000] lr: 9.375e-06, eta: 4:20:04, time: 0.192, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1870, decode.acc_seg: 92.3082, loss: 0.1870 +2023-03-04 07:15:58,124 - mmseg - INFO - Iter [93600/160000] lr: 9.375e-06, eta: 4:19:51, time: 0.201, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1788, decode.acc_seg: 92.6192, loss: 0.1788 +2023-03-04 07:16:08,139 - mmseg - INFO - Iter [93650/160000] lr: 9.375e-06, eta: 4:19:38, time: 0.200, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1883, decode.acc_seg: 92.2952, loss: 0.1883 +2023-03-04 07:16:17,736 - mmseg - INFO - Iter [93700/160000] lr: 9.375e-06, eta: 4:19:24, time: 0.192, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1885, decode.acc_seg: 92.2052, loss: 0.1885 +2023-03-04 07:16:27,804 - mmseg - INFO - Iter [93750/160000] lr: 9.375e-06, eta: 4:19:11, time: 0.201, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1848, decode.acc_seg: 92.4578, loss: 0.1848 +2023-03-04 07:16:37,463 - mmseg - INFO - Iter [93800/160000] lr: 9.375e-06, eta: 4:18:58, time: 0.193, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1794, decode.acc_seg: 92.5974, loss: 0.1794 +2023-03-04 07:16:47,146 - mmseg - INFO - Iter [93850/160000] lr: 9.375e-06, eta: 4:18:45, time: 0.193, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1889, decode.acc_seg: 92.4149, loss: 0.1889 +2023-03-04 07:16:56,797 - mmseg - INFO - Iter [93900/160000] lr: 9.375e-06, eta: 4:18:32, time: 0.193, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1884, decode.acc_seg: 92.3783, loss: 0.1884 +2023-03-04 07:17:06,354 - mmseg - INFO - Iter [93950/160000] lr: 9.375e-06, eta: 4:18:19, time: 0.191, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1886, decode.acc_seg: 92.2378, loss: 0.1886 +2023-03-04 07:17:16,003 - mmseg - INFO - Exp name: ablation_segformer_mit_b2_segformer_head_unet_fc_small_multi_step_ade_pretrained_freeze_embed_160k_ade20k151_finetune_ema_cos.py +2023-03-04 07:17:16,003 - mmseg - INFO - Iter [94000/160000] lr: 9.375e-06, eta: 4:18:05, time: 0.193, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1781, decode.acc_seg: 92.5437, loss: 0.1781 +2023-03-04 07:17:28,159 - mmseg - INFO - Iter [94050/160000] lr: 9.375e-06, eta: 4:17:54, time: 0.243, data_time: 0.056, memory: 52540, decode.loss_ce: 0.1873, decode.acc_seg: 92.3591, loss: 0.1873 +2023-03-04 07:17:37,779 - mmseg - INFO - Iter [94100/160000] lr: 9.375e-06, eta: 4:17:41, time: 0.192, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1839, decode.acc_seg: 92.3720, loss: 0.1839 +2023-03-04 07:17:47,395 - mmseg - INFO - Iter [94150/160000] lr: 9.375e-06, eta: 4:17:28, time: 0.192, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1748, decode.acc_seg: 92.7898, loss: 0.1748 +2023-03-04 07:17:57,032 - mmseg - INFO - Iter [94200/160000] lr: 9.375e-06, eta: 4:17:14, time: 0.193, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1878, decode.acc_seg: 92.2344, loss: 0.1878 +2023-03-04 07:18:06,530 - mmseg - INFO - Iter [94250/160000] lr: 9.375e-06, eta: 4:17:01, time: 0.190, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1913, decode.acc_seg: 92.2362, loss: 0.1913 +2023-03-04 07:18:16,121 - mmseg - INFO - Iter [94300/160000] lr: 9.375e-06, eta: 4:16:48, time: 0.192, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1759, decode.acc_seg: 92.6464, loss: 0.1759 +2023-03-04 07:18:25,695 - mmseg - INFO - Iter [94350/160000] lr: 9.375e-06, eta: 4:16:35, time: 0.191, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1801, decode.acc_seg: 92.5539, loss: 0.1801 +2023-03-04 07:18:35,384 - mmseg - INFO - Iter [94400/160000] lr: 9.375e-06, eta: 4:16:22, time: 0.194, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1850, decode.acc_seg: 92.4944, loss: 0.1850 +2023-03-04 07:18:45,390 - mmseg - INFO - Iter [94450/160000] lr: 9.375e-06, eta: 4:16:09, time: 0.200, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1910, decode.acc_seg: 92.2805, loss: 0.1910 +2023-03-04 07:18:55,076 - mmseg - INFO - Iter [94500/160000] lr: 9.375e-06, eta: 4:15:55, time: 0.193, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1865, decode.acc_seg: 92.3527, loss: 0.1865 +2023-03-04 07:19:04,886 - mmseg - INFO - Iter [94550/160000] lr: 9.375e-06, eta: 4:15:42, time: 0.196, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1902, decode.acc_seg: 92.1322, loss: 0.1902 +2023-03-04 07:19:14,854 - mmseg - INFO - Iter [94600/160000] lr: 9.375e-06, eta: 4:15:29, time: 0.199, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1890, decode.acc_seg: 92.3559, loss: 0.1890 +2023-03-04 07:19:24,393 - mmseg - INFO - Iter [94650/160000] lr: 9.375e-06, eta: 4:15:16, time: 0.191, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1957, decode.acc_seg: 91.8808, loss: 0.1957 +2023-03-04 07:19:36,662 - mmseg - INFO - Iter [94700/160000] lr: 9.375e-06, eta: 4:15:05, time: 0.245, data_time: 0.055, memory: 52540, decode.loss_ce: 0.1875, decode.acc_seg: 92.2079, loss: 0.1875 +2023-03-04 07:19:46,335 - mmseg - INFO - Iter [94750/160000] lr: 9.375e-06, eta: 4:14:52, time: 0.193, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1829, decode.acc_seg: 92.4306, loss: 0.1829 +2023-03-04 07:19:56,700 - mmseg - INFO - Iter [94800/160000] lr: 9.375e-06, eta: 4:14:39, time: 0.207, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1892, decode.acc_seg: 92.3419, loss: 0.1892 +2023-03-04 07:20:06,206 - mmseg - INFO - Iter [94850/160000] lr: 9.375e-06, eta: 4:14:26, time: 0.190, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1814, decode.acc_seg: 92.4403, loss: 0.1814 +2023-03-04 07:20:16,149 - mmseg - INFO - Iter [94900/160000] lr: 9.375e-06, eta: 4:14:13, time: 0.199, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1848, decode.acc_seg: 92.5675, loss: 0.1848 +2023-03-04 07:20:26,005 - mmseg - INFO - Iter [94950/160000] lr: 9.375e-06, eta: 4:14:00, time: 0.197, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1833, decode.acc_seg: 92.4588, loss: 0.1833 +2023-03-04 07:20:35,952 - mmseg - INFO - Exp name: ablation_segformer_mit_b2_segformer_head_unet_fc_small_multi_step_ade_pretrained_freeze_embed_160k_ade20k151_finetune_ema_cos.py +2023-03-04 07:20:35,952 - mmseg - INFO - Iter [95000/160000] lr: 9.375e-06, eta: 4:13:47, time: 0.199, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1844, decode.acc_seg: 92.3784, loss: 0.1844 +2023-03-04 07:20:45,529 - mmseg - INFO - Iter [95050/160000] lr: 9.375e-06, eta: 4:13:34, time: 0.192, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1962, decode.acc_seg: 91.9099, loss: 0.1962 +2023-03-04 07:20:55,474 - mmseg - INFO - Iter [95100/160000] lr: 9.375e-06, eta: 4:13:21, time: 0.199, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1779, decode.acc_seg: 92.5799, loss: 0.1779 +2023-03-04 07:21:05,435 - mmseg - INFO - Iter [95150/160000] lr: 9.375e-06, eta: 4:13:08, time: 0.199, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1883, decode.acc_seg: 92.0615, loss: 0.1883 +2023-03-04 07:21:15,335 - mmseg - INFO - Iter [95200/160000] lr: 9.375e-06, eta: 4:12:55, time: 0.198, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1856, decode.acc_seg: 92.2825, loss: 0.1856 +2023-03-04 07:21:24,873 - mmseg - INFO - Iter [95250/160000] lr: 9.375e-06, eta: 4:12:42, time: 0.191, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1891, decode.acc_seg: 92.2063, loss: 0.1891 +2023-03-04 07:21:37,008 - mmseg - INFO - Iter [95300/160000] lr: 9.375e-06, eta: 4:12:31, time: 0.243, data_time: 0.055, memory: 52540, decode.loss_ce: 0.1863, decode.acc_seg: 92.3225, loss: 0.1863 +2023-03-04 07:21:46,591 - mmseg - INFO - Iter [95350/160000] lr: 9.375e-06, eta: 4:12:17, time: 0.192, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1803, decode.acc_seg: 92.5610, loss: 0.1803 +2023-03-04 07:21:56,221 - mmseg - INFO - Iter [95400/160000] lr: 9.375e-06, eta: 4:12:04, time: 0.193, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1839, decode.acc_seg: 92.4316, loss: 0.1839 +2023-03-04 07:22:05,892 - mmseg - INFO - Iter [95450/160000] lr: 9.375e-06, eta: 4:11:51, time: 0.193, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1806, decode.acc_seg: 92.4887, loss: 0.1806 +2023-03-04 07:22:15,600 - mmseg - INFO - Iter [95500/160000] lr: 9.375e-06, eta: 4:11:38, time: 0.194, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1858, decode.acc_seg: 92.2304, loss: 0.1858 +2023-03-04 07:22:25,139 - mmseg - INFO - Iter [95550/160000] lr: 9.375e-06, eta: 4:11:25, time: 0.191, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1947, decode.acc_seg: 92.2001, loss: 0.1947 +2023-03-04 07:22:34,727 - mmseg - INFO - Iter [95600/160000] lr: 9.375e-06, eta: 4:11:12, time: 0.192, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1881, decode.acc_seg: 92.2793, loss: 0.1881 +2023-03-04 07:22:44,533 - mmseg - INFO - Iter [95650/160000] lr: 9.375e-06, eta: 4:10:59, time: 0.196, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1832, decode.acc_seg: 92.3808, loss: 0.1832 +2023-03-04 07:22:54,317 - mmseg - INFO - Iter [95700/160000] lr: 9.375e-06, eta: 4:10:46, time: 0.195, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1934, decode.acc_seg: 92.1458, loss: 0.1934 +2023-03-04 07:23:04,123 - mmseg - INFO - Iter [95750/160000] lr: 9.375e-06, eta: 4:10:33, time: 0.196, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1867, decode.acc_seg: 92.2978, loss: 0.1867 +2023-03-04 07:23:13,724 - mmseg - INFO - Iter [95800/160000] lr: 9.375e-06, eta: 4:10:20, time: 0.192, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1932, decode.acc_seg: 92.1427, loss: 0.1932 +2023-03-04 07:23:23,752 - mmseg - INFO - Iter [95850/160000] lr: 9.375e-06, eta: 4:10:07, time: 0.201, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1844, decode.acc_seg: 92.3514, loss: 0.1844 +2023-03-04 07:23:33,461 - mmseg - INFO - Iter [95900/160000] lr: 9.375e-06, eta: 4:09:54, time: 0.194, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1832, decode.acc_seg: 92.3639, loss: 0.1832 +2023-03-04 07:23:45,557 - mmseg - INFO - Iter [95950/160000] lr: 9.375e-06, eta: 4:09:43, time: 0.242, data_time: 0.052, memory: 52540, decode.loss_ce: 0.1870, decode.acc_seg: 92.3145, loss: 0.1870 +2023-03-04 07:23:55,011 - mmseg - INFO - Swap parameters (after train) after iter [96000] +2023-03-04 07:23:55,024 - mmseg - INFO - Saving checkpoint at 96000 iterations +2023-03-04 07:23:56,225 - mmseg - INFO - Exp name: ablation_segformer_mit_b2_segformer_head_unet_fc_small_multi_step_ade_pretrained_freeze_embed_160k_ade20k151_finetune_ema_cos.py +2023-03-04 07:23:56,225 - mmseg - INFO - Iter [96000/160000] lr: 9.375e-06, eta: 4:09:30, time: 0.213, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1822, decode.acc_seg: 92.6093, loss: 0.1822 +2023-03-04 07:34:46,695 - mmseg - INFO - per class results: +2023-03-04 07:34:46,703 - mmseg - INFO - ++---------------------+-------------------------------------------------------------------+ +| Class | IoU 0,10,20,30,40,50,60,70,80,90,99 | ++---------------------+-------------------------------------------------------------------+ +| background | nan,nan,nan,nan,nan,nan,nan,nan,nan,nan,nan | +| wall | 77.43,77.44,77.43,77.44,77.44,77.44,77.45,77.47,77.49,77.5,77.51 | +| building | 81.61,81.61,81.63,81.62,81.62,81.62,81.64,81.64,81.66,81.67,81.67 | +| sky | 94.41,94.41,94.41,94.41,94.41,94.41,94.42,94.43,94.43,94.43,94.43 | +| floor | 81.65,81.64,81.64,81.66,81.66,81.65,81.66,81.67,81.67,81.66,81.66 | +| tree | 74.33,74.34,74.34,74.35,74.34,74.35,74.36,74.38,74.41,74.42,74.41 | +| ceiling | 85.44,85.44,85.45,85.45,85.43,85.47,85.48,85.53,85.55,85.6,85.59 | +| road | 82.21,82.22,82.22,82.22,82.22,82.21,82.17,82.18,82.17,82.14,82.15 | +| bed | 88.03,88.02,88.01,88.01,88.02,88.02,88.03,88.09,88.11,88.13,88.11 | +| windowpane | 60.83,60.83,60.81,60.83,60.84,60.85,60.84,60.88,60.88,60.89,60.89 | +| grass | 67.1,67.09,67.12,67.12,67.14,67.11,67.14,67.13,67.16,67.17,67.18 | +| cabinet | 61.57,61.47,61.52,61.52,61.5,61.63,61.74,61.85,62.09,62.21,62.2 | +| sidewalk | 64.59,64.56,64.57,64.55,64.59,64.58,64.52,64.55,64.55,64.55,64.59 | +| person | 79.63,79.63,79.64,79.64,79.65,79.65,79.65,79.68,79.68,79.66,79.67 | +| earth | 35.78,35.8,35.79,35.81,35.8,35.81,35.81,35.85,35.77,35.72,35.64 | +| door | 45.93,45.99,45.95,45.97,45.95,45.95,45.94,45.95,45.98,45.96,46.04 | +| table | 61.21,61.21,61.22,61.2,61.22,61.25,61.31,61.36,61.5,61.51,61.52 | +| mountain | 56.61,56.67,56.6,56.66,56.66,56.64,56.71,56.76,56.81,56.87,57.0 | +| plant | 49.52,49.51,49.55,49.52,49.51,49.52,49.54,49.57,49.52,49.54,49.55 | +| curtain | 74.37,74.4,74.39,74.36,74.45,74.4,74.44,74.41,74.45,74.5,74.56 | +| chair | 56.66,56.74,56.68,56.71,56.74,56.7,56.76,56.78,56.82,56.82,56.82 | +| car | 81.79,81.8,81.77,81.77,81.78,81.84,81.81,81.81,81.85,81.89,81.92 | +| water | 56.89,56.88,56.89,56.87,56.88,56.92,56.92,57.0,56.99,57.08,57.15 | +| painting | 70.42,70.45,70.43,70.4,70.44,70.46,70.41,70.42,70.39,70.33,70.23 | +| sofa | 64.38,64.38,64.39,64.39,64.45,64.42,64.52,64.65,64.7,64.76,64.84 | +| shelf | 44.31,44.35,44.32,44.35,44.34,44.34,44.36,44.4,44.42,44.46,44.46 | +| house | 42.11,42.14,42.24,42.24,42.35,42.25,42.36,42.36,42.49,42.43,42.37 | +| sea | 59.98,59.94,59.98,59.95,59.97,60.03,60.01,60.05,60.04,60.1,60.16 | +| mirror | 66.65,66.84,66.69,66.8,66.72,66.71,66.72,66.67,66.52,66.41,66.36 | +| rug | 64.11,64.05,64.1,64.1,64.13,64.13,64.14,64.22,64.34,64.47,64.64 | +| field | 30.51,30.51,30.51,30.49,30.5,30.5,30.48,30.49,30.47,30.48,30.5 | +| armchair | 38.3,38.23,38.27,38.27,38.3,38.26,38.36,38.37,38.5,38.58,38.51 | +| seat | 66.78,66.78,66.77,66.78,66.83,66.83,66.87,66.88,66.96,67.04,67.05 | +| fence | 40.42,40.48,40.53,40.5,40.56,40.51,40.51,40.8,40.96,40.98,41.09 | +| desk | 47.04,47.03,47.06,47.02,47.04,47.22,47.29,47.48,47.65,47.79,47.88 | +| rock | 36.75,36.8,36.75,36.73,36.79,36.77,36.78,36.79,36.8,36.79,36.81 | +| wardrobe | 57.71,57.6,57.57,57.57,57.57,57.61,57.59,57.49,57.53,57.57,57.46 | +| lamp | 61.84,61.89,61.83,61.85,61.85,61.85,61.85,61.83,61.88,61.63,61.59 | +| bathtub | 76.49,76.49,76.38,76.49,76.48,76.44,76.4,76.29,76.3,76.07,75.82 | +| railing | 33.94,33.93,33.92,33.95,33.93,33.85,33.83,33.84,33.8,33.74,33.63 | +| cushion | 57.1,57.06,57.12,57.09,57.09,57.07,57.04,57.04,56.99,57.06,57.06 | +| base | 21.86,21.92,21.88,21.92,21.95,21.95,21.98,22.01,22.04,22.08,22.08 | +| box | 23.05,23.06,22.99,23.09,23.04,23.1,23.14,23.15,23.29,23.38,23.45 | +| column | 46.51,46.51,46.5,46.48,46.54,46.57,46.64,46.69,46.73,46.69,46.71 | +| signboard | 37.83,37.76,37.81,37.82,37.82,37.88,37.81,37.87,37.76,37.64,37.56 | +| chest of drawers | 36.25,36.21,36.27,36.27,36.23,36.31,36.36,36.38,36.49,36.48,36.43 | +| counter | 31.53,31.56,31.5,31.53,31.52,31.54,31.57,31.57,31.58,31.45,31.42 | +| sand | 42.24,42.25,42.2,42.29,42.23,42.26,42.39,42.37,42.45,42.49,42.59 | +| sink | 67.51,67.57,67.55,67.53,67.56,67.52,67.5,67.52,67.53,67.5,67.44 | +| skyscraper | 49.67,49.69,49.79,49.78,49.77,49.58,49.66,49.41,49.33,49.21,49.13 | +| fireplace | 76.02,75.97,75.95,75.98,75.96,76.06,76.1,76.22,76.41,76.57,76.7 | +| refrigerator | 75.45,75.39,75.42,75.46,75.4,75.52,75.55,75.7,75.86,75.96,76.04 | +| grandstand | 53.11,53.07,53.27,53.02,53.08,53.14,53.21,53.37,53.55,53.69,53.88 | +| path | 22.69,22.69,22.67,22.74,22.66,22.72,22.75,22.8,22.83,22.88,22.89 | +| stairs | 31.6,31.61,31.6,31.62,31.53,31.59,31.61,31.59,31.57,31.57,31.62 | +| runway | 67.47,67.54,67.55,67.55,67.56,67.6,67.63,67.75,67.83,67.93,68.01 | +| case | 49.34,49.35,49.36,49.37,49.42,49.32,49.39,49.45,49.4,49.36,49.15 | +| pool table | 92.01,92.0,91.99,91.98,91.99,92.01,92.04,92.06,92.1,92.09,92.14 | +| pillow | 60.73,60.47,60.51,60.47,60.54,60.49,60.63,60.61,60.44,60.71,60.9 | +| screen door | 70.41,70.68,70.68,70.71,70.41,70.58,70.7,71.0,71.26,70.93,71.03 | +| stairway | 23.92,23.98,23.99,23.94,23.94,24.01,24.07,24.15,24.13,24.22,24.24 | +| river | 11.67,11.67,11.67,11.67,11.65,11.67,11.68,11.69,11.69,11.69,11.69 | +| bridge | 31.45,31.49,31.43,31.52,31.47,31.44,31.43,31.41,31.35,31.38,31.38 | +| bookcase | 44.67,44.71,44.76,44.71,44.66,44.69,44.66,44.74,44.57,44.65,44.42 | +| blind | 39.99,40.02,39.8,39.98,39.91,39.96,40.16,40.26,40.34,40.55,40.77 | +| coffee table | 53.03,53.01,53.01,52.98,53.01,52.94,53.0,52.89,52.92,53.01,52.91 | +| toilet | 83.75,83.76,83.73,83.77,83.74,83.75,83.77,83.79,83.81,83.82,83.83 | +| flower | 38.49,38.52,38.49,38.51,38.57,38.51,38.56,38.47,38.54,38.57,38.49 | +| book | 45.46,45.48,45.51,45.42,45.36,45.46,45.4,45.38,45.38,45.31,45.27 | +| hill | 15.09,15.1,15.09,15.07,15.13,15.07,15.01,15.04,15.09,15.12,15.07 | +| bench | 42.87,42.9,42.87,42.83,42.75,42.74,42.72,42.73,42.68,42.57,42.39 | +| countertop | 55.4,55.48,55.49,55.42,55.41,55.43,55.53,55.74,56.07,56.04,55.98 | +| stove | 71.91,71.87,71.85,71.88,71.91,71.83,71.82,71.76,71.76,71.63,71.46 | +| palm | 47.96,47.95,48.02,48.01,48.03,48.0,48.03,48.01,48.07,48.17,48.16 | +| kitchen island | 45.65,45.55,45.41,45.83,45.74,45.71,45.71,45.61,45.49,45.33,45.33 | +| computer | 60.76,60.78,60.77,60.78,60.74,60.71,60.74,60.76,60.72,60.71,60.66 | +| swivel chair | 43.96,43.97,43.99,44.09,44.04,43.96,44.05,44.14,44.24,44.23,44.6 | +| boat | 72.9,72.9,72.91,72.97,72.87,73.04,73.01,73.02,73.22,73.33,73.38 | +| bar | 23.89,23.86,23.91,23.9,23.87,23.88,23.94,23.95,23.93,23.98,24.03 | +| arcade machine | 68.08,67.86,68.04,68.12,68.12,68.28,68.47,68.49,68.73,68.59,68.55 | +| hovel | 32.23,32.38,32.36,32.46,32.6,32.49,32.53,32.68,32.84,32.86,32.89 | +| bus | 79.4,79.35,79.31,79.3,79.34,79.3,79.28,79.38,79.46,79.43,79.41 | +| towel | 62.62,62.51,62.56,62.52,62.52,62.53,62.57,62.58,62.66,62.74,62.76 | +| light | 55.66,55.65,55.64,55.67,55.64,55.68,55.72,55.75,55.73,55.74,55.72 | +| truck | 19.22,19.21,19.28,19.23,19.28,19.25,19.32,19.27,19.27,19.39,19.31 | +| tower | 9.38,9.36,9.36,9.38,9.37,9.38,9.37,9.36,9.4,9.38,9.39 | +| chandelier | 63.95,63.94,63.92,63.96,63.95,63.97,63.98,63.98,64.02,64.07,64.09 | +| awning | 24.34,24.43,24.32,24.3,24.31,24.52,24.77,24.95,24.99,25.29,25.47 | +| streetlight | 27.23,27.38,27.33,27.27,27.28,27.41,27.47,27.36,27.31,27.36,27.26 | +| booth | 47.55,47.83,47.86,47.86,48.03,48.19,48.5,48.89,49.21,49.74,50.05 | +| television receiver | 64.31,64.25,64.39,64.29,64.25,64.37,64.3,64.38,64.45,64.56,64.66 | +| airplane | 59.77,59.74,59.78,59.68,59.74,59.72,59.62,59.59,59.41,59.21,59.01 | +| dirt track | 20.82,20.91,20.95,20.86,20.92,21.11,21.06,21.3,21.52,21.78,21.85 | +| apparel | 34.56,34.78,34.72,34.82,34.64,34.77,34.94,35.12,35.33,35.4,35.57 | +| pole | 19.2,19.12,19.12,19.12,19.13,19.12,19.12,19.0,19.04,18.92,18.71 | +| land | 3.95,3.95,3.93,3.94,3.94,3.94,3.95,3.94,3.94,3.95,3.93 | +| bannister | 12.56,12.43,12.43,12.48,12.44,12.57,12.53,12.48,12.49,12.55,12.55 | +| escalator | 23.55,23.53,23.55,23.54,23.49,23.56,23.67,23.67,23.53,23.64,23.71 | +| ottoman | 43.73,43.84,43.89,43.79,43.85,43.9,43.75,43.95,43.86,43.82,43.71 | +| bottle | 34.79,34.85,34.83,34.8,34.85,34.84,34.79,34.9,34.71,34.76,34.69 | +| buffet | 42.93,43.39,43.21,43.28,43.48,43.72,44.14,44.99,45.23,45.67,46.19 | +| poster | 22.82,22.85,22.85,22.84,22.87,22.9,22.86,22.84,23.02,23.13,23.44 | +| stage | 14.02,14.01,14.07,14.02,14.04,14.03,14.0,13.91,13.86,13.81,13.51 | +| van | 38.83,38.83,38.86,38.78,38.9,38.84,38.73,38.73,38.86,38.74,38.84 | +| ship | 82.45,82.58,82.49,82.62,82.52,82.75,82.76,82.93,83.11,83.35,83.52 | +| fountain | 19.96,20.09,20.0,20.04,20.01,19.94,20.18,20.38,20.43,20.72,21.08 | +| conveyer belt | 85.61,85.58,85.61,85.66,85.61,85.63,85.76,85.78,85.94,86.03,86.2 | +| canopy | 23.35,23.52,23.44,23.56,23.65,23.7,23.9,24.12,24.37,24.6,24.93 | +| washer | 73.89,74.03,74.14,74.1,74.13,74.25,74.19,74.28,74.18,74.23,74.39 | +| plaything | 20.08,20.11,20.17,20.12,20.16,20.11,20.17,20.11,20.06,20.04,19.95 | +| swimming pool | 74.95,75.02,74.78,74.98,74.99,75.28,75.06,75.27,75.07,74.73,74.37 | +| stool | 43.9,44.14,43.96,44.04,43.98,43.87,44.03,43.85,43.85,43.78,43.74 | +| barrel | 54.4,52.55,52.86,51.27,52.38,48.97,52.43,51.75,53.36,51.37,52.3 | +| basket | 24.17,24.18,24.1,24.17,24.13,24.13,24.11,24.16,24.16,24.12,23.98 | +| waterfall | 49.44,49.54,49.53,49.56,49.57,49.49,49.57,49.55,49.63,49.72,49.84 | +| tent | 94.93,94.9,94.87,94.86,94.87,94.84,94.91,94.87,94.84,94.86,94.93 | +| bag | 16.44,16.41,16.29,16.27,16.23,16.22,16.42,16.32,16.52,16.39,16.52 | +| minibike | 62.26,62.3,62.16,62.26,62.32,62.3,62.29,62.13,62.28,62.23,61.99 | +| cradle | 84.34,84.28,84.32,84.33,84.34,84.46,84.54,84.61,84.87,85.05,85.36 | +| oven | 49.11,49.44,49.29,49.35,49.37,49.37,49.29,49.41,49.51,49.57,49.66 | +| ball | 48.43,48.53,48.53,48.52,48.6,48.38,48.49,48.38,48.2,48.05,47.83 | +| food | 53.54,53.56,53.51,53.62,53.65,53.65,53.52,53.55,53.57,53.41,53.12 | +| step | 6.57,6.5,6.6,6.63,6.64,6.61,6.6,6.47,6.5,6.13,5.82 | +| tank | 50.17,50.23,50.19,50.22,50.11,50.18,50.09,50.01,49.96,49.81,49.72 | +| trade name | 26.78,26.89,26.71,26.79,26.7,26.73,26.72,26.85,26.72,26.84,26.91 | +| microwave | 72.43,72.53,72.48,72.58,72.58,72.58,72.57,72.79,72.97,73.11,73.4 | +| pot | 30.63,30.6,30.65,30.61,30.64,30.71,30.62,30.67,30.8,30.85,30.95 | +| animal | 54.46,54.42,54.44,54.45,54.41,54.49,54.42,54.29,54.26,54.29,54.08 | +| bicycle | 54.44,54.36,54.41,54.41,54.4,54.53,54.57,54.72,54.67,54.88,55.06 | +| lake | 57.56,57.62,57.63,57.62,57.63,57.68,57.68,57.79,57.91,57.99,58.11 | +| dishwasher | 66.59,66.62,66.59,66.48,66.41,66.45,66.39,66.31,66.16,66.23,66.35 | +| screen | 66.03,66.47,66.53,66.18,66.19,66.39,65.55,65.18,64.81,64.78,65.48 | +| blanket | 18.69,18.58,18.71,18.7,18.74,18.71,18.79,18.85,18.99,19.05,19.15 | +| sculpture | 57.28,57.41,57.39,57.29,57.71,57.45,57.36,57.38,57.9,57.86,58.27 | +| hood | 55.81,56.1,55.99,56.07,55.85,55.8,55.66,55.23,55.13,54.72,54.51 | +| sconce | 42.8,42.78,42.76,42.94,42.81,42.76,43.08,42.98,43.22,42.93,43.06 | +| vase | 37.41,37.32,37.35,37.24,37.52,37.39,37.47,37.5,37.64,37.73,37.78 | +| traffic light | 33.2,33.25,33.14,33.33,33.19,33.15,33.26,33.33,33.32,33.4,33.51 | +| tray | 8.09,8.07,8.02,8.07,8.16,8.2,8.06,8.12,8.17,8.08,8.27 | +| ashcan | 40.83,40.7,40.85,40.74,40.63,40.8,40.87,40.69,40.97,41.24,41.2 | +| fan | 57.96,57.91,57.88,57.86,57.81,57.8,57.89,57.83,58.0,58.0,57.97 | +| pier | 53.3,53.25,53.68,53.55,53.92,54.33,54.81,56.38,57.19,57.67,58.02 | +| crt screen | 10.28,10.32,10.29,10.32,10.28,10.33,10.28,10.3,10.34,10.28,10.27 | +| plate | 52.06,52.03,52.03,52.09,52.13,52.04,52.21,52.43,52.61,52.88,52.95 | +| monitor | 17.04,17.05,16.9,17.02,16.97,17.01,16.94,16.88,16.71,16.52,16.28 | +| bulletin board | 38.97,38.93,38.92,39.09,38.97,38.92,38.98,38.88,38.52,38.79,38.85 | +| shower | 1.8,1.88,1.9,1.81,1.73,1.8,1.86,1.83,1.77,1.64,1.66 | +| radiator | 58.63,58.94,58.9,59.01,58.91,59.06,59.67,59.73,60.55,60.85,61.25 | +| glass | 13.48,13.43,13.42,13.5,13.58,13.59,13.58,13.67,13.71,13.81,13.88 | +| clock | 35.31,35.0,35.29,35.14,35.04,35.29,35.27,35.41,35.51,35.61,35.51 | +| flag | 33.39,33.39,33.38,33.35,33.36,33.48,33.32,33.37,33.42,33.38,33.39 | ++---------------------+-------------------------------------------------------------------+ +2023-03-04 07:34:46,703 - mmseg - INFO - Summary: +2023-03-04 07:34:46,704 - mmseg - INFO - ++------------------------------------------------------------------+ +| mIoU 0,10,20,30,40,50,60,70,80,90,99 | ++------------------------------------------------------------------+ +| 48.82,48.83,48.83,48.83,48.84,48.84,48.89,48.93,48.99,49.0,49.03 | ++------------------------------------------------------------------+ +2023-03-04 07:34:46,739 - mmseg - INFO - The previous best checkpoint /mnt/petrelfs/laizeqiang/mmseg-baseline/work_dirs2/ablation_segformer_mit_b2_segformer_head_unet_fc_small_multi_step_ade_pretrained_freeze_embed_160k_ade20k151_finetune_ema_cos/best_mIoU_iter_80000.pth was removed +2023-03-04 07:34:47,768 - mmseg - INFO - Now best checkpoint is saved as best_mIoU_iter_96000.pth. +2023-03-04 07:34:47,769 - mmseg - INFO - Best mIoU is 0.4903 at 96000 iter. +2023-03-04 07:34:47,769 - mmseg - INFO - Exp name: ablation_segformer_mit_b2_segformer_head_unet_fc_small_multi_step_ade_pretrained_freeze_embed_160k_ade20k151_finetune_ema_cos.py +2023-03-04 07:34:47,769 - mmseg - INFO - Iter(val) [250] mIoU: [0.4882, 0.4883, 0.4883, 0.4883, 0.4884, 0.4884, 0.4889, 0.4893, 0.4899, 0.49, 0.4903], copy_paste: 48.82,48.83,48.83,48.83,48.84,48.84,48.89,48.93,48.99,49.0,49.03 +2023-03-04 07:34:47,775 - mmseg - INFO - Swap parameters (before train) before iter [96001] +2023-03-04 07:34:57,785 - mmseg - INFO - Iter [96050/160000] lr: 9.375e-06, eta: 4:16:31, time: 13.231, data_time: 13.038, memory: 52540, decode.loss_ce: 0.1871, decode.acc_seg: 92.3574, loss: 0.1871 +2023-03-04 07:35:07,553 - mmseg - INFO - Iter [96100/160000] lr: 9.375e-06, eta: 4:16:18, time: 0.195, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1880, decode.acc_seg: 92.3601, loss: 0.1880 +2023-03-04 07:35:17,379 - mmseg - INFO - Iter [96150/160000] lr: 9.375e-06, eta: 4:16:04, time: 0.197, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1900, decode.acc_seg: 92.1843, loss: 0.1900 +2023-03-04 07:35:27,477 - mmseg - INFO - Iter [96200/160000] lr: 9.375e-06, eta: 4:15:51, time: 0.202, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1889, decode.acc_seg: 92.3043, loss: 0.1889 +2023-03-04 07:35:37,195 - mmseg - INFO - Iter [96250/160000] lr: 9.375e-06, eta: 4:15:37, time: 0.194, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1867, decode.acc_seg: 92.4064, loss: 0.1867 +2023-03-04 07:35:47,230 - mmseg - INFO - Iter [96300/160000] lr: 9.375e-06, eta: 4:15:24, time: 0.201, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1831, decode.acc_seg: 92.5268, loss: 0.1831 +2023-03-04 07:35:57,028 - mmseg - INFO - Iter [96350/160000] lr: 9.375e-06, eta: 4:15:10, time: 0.196, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1890, decode.acc_seg: 92.2562, loss: 0.1890 +2023-03-04 07:36:06,584 - mmseg - INFO - Iter [96400/160000] lr: 9.375e-06, eta: 4:14:57, time: 0.191, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1901, decode.acc_seg: 92.1235, loss: 0.1901 +2023-03-04 07:36:16,119 - mmseg - INFO - Iter [96450/160000] lr: 9.375e-06, eta: 4:14:43, time: 0.191, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1870, decode.acc_seg: 92.2121, loss: 0.1870 +2023-03-04 07:36:25,963 - mmseg - INFO - Iter [96500/160000] lr: 9.375e-06, eta: 4:14:30, time: 0.197, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1886, decode.acc_seg: 92.2621, loss: 0.1886 +2023-03-04 07:36:38,875 - mmseg - INFO - Iter [96550/160000] lr: 9.375e-06, eta: 4:14:18, time: 0.258, data_time: 0.053, memory: 52540, decode.loss_ce: 0.1824, decode.acc_seg: 92.3775, loss: 0.1824 +2023-03-04 07:36:48,442 - mmseg - INFO - Iter [96600/160000] lr: 9.375e-06, eta: 4:14:04, time: 0.191, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1935, decode.acc_seg: 92.1866, loss: 0.1935 +2023-03-04 07:36:58,045 - mmseg - INFO - Iter [96650/160000] lr: 9.375e-06, eta: 4:13:51, time: 0.192, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1785, decode.acc_seg: 92.6835, loss: 0.1785 +2023-03-04 07:37:07,570 - mmseg - INFO - Iter [96700/160000] lr: 9.375e-06, eta: 4:13:37, time: 0.190, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1917, decode.acc_seg: 92.0561, loss: 0.1917 +2023-03-04 07:37:17,221 - mmseg - INFO - Iter [96750/160000] lr: 9.375e-06, eta: 4:13:24, time: 0.193, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1849, decode.acc_seg: 92.3854, loss: 0.1849 +2023-03-04 07:37:26,825 - mmseg - INFO - Iter [96800/160000] lr: 9.375e-06, eta: 4:13:10, time: 0.192, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1920, decode.acc_seg: 92.2361, loss: 0.1920 +2023-03-04 07:37:36,353 - mmseg - INFO - Iter [96850/160000] lr: 9.375e-06, eta: 4:12:56, time: 0.191, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1946, decode.acc_seg: 92.0299, loss: 0.1946 +2023-03-04 07:37:46,198 - mmseg - INFO - Iter [96900/160000] lr: 9.375e-06, eta: 4:12:43, time: 0.197, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1870, decode.acc_seg: 92.3556, loss: 0.1870 +2023-03-04 07:37:55,778 - mmseg - INFO - Iter [96950/160000] lr: 9.375e-06, eta: 4:12:29, time: 0.191, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1884, decode.acc_seg: 92.1833, loss: 0.1884 +2023-03-04 07:38:05,473 - mmseg - INFO - Exp name: ablation_segformer_mit_b2_segformer_head_unet_fc_small_multi_step_ade_pretrained_freeze_embed_160k_ade20k151_finetune_ema_cos.py +2023-03-04 07:38:05,473 - mmseg - INFO - Iter [97000/160000] lr: 9.375e-06, eta: 4:12:16, time: 0.194, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1784, decode.acc_seg: 92.6139, loss: 0.1784 +2023-03-04 07:38:14,954 - mmseg - INFO - Iter [97050/160000] lr: 9.375e-06, eta: 4:12:02, time: 0.190, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1883, decode.acc_seg: 92.1631, loss: 0.1883 +2023-03-04 07:38:25,051 - mmseg - INFO - Iter [97100/160000] lr: 9.375e-06, eta: 4:11:49, time: 0.202, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1878, decode.acc_seg: 92.2093, loss: 0.1878 +2023-03-04 07:38:34,740 - mmseg - INFO - Iter [97150/160000] lr: 9.375e-06, eta: 4:11:35, time: 0.194, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1879, decode.acc_seg: 92.2598, loss: 0.1879 +2023-03-04 07:38:46,964 - mmseg - INFO - Iter [97200/160000] lr: 9.375e-06, eta: 4:11:24, time: 0.245, data_time: 0.056, memory: 52540, decode.loss_ce: 0.1899, decode.acc_seg: 92.1591, loss: 0.1899 +2023-03-04 07:38:56,754 - mmseg - INFO - Iter [97250/160000] lr: 9.375e-06, eta: 4:11:10, time: 0.196, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1848, decode.acc_seg: 92.3922, loss: 0.1848 +2023-03-04 07:39:06,482 - mmseg - INFO - Iter [97300/160000] lr: 9.375e-06, eta: 4:10:57, time: 0.195, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1937, decode.acc_seg: 92.1107, loss: 0.1937 +2023-03-04 07:39:16,321 - mmseg - INFO - Iter [97350/160000] lr: 9.375e-06, eta: 4:10:43, time: 0.197, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1868, decode.acc_seg: 92.3011, loss: 0.1868 +2023-03-04 07:39:25,954 - mmseg - INFO - Iter [97400/160000] lr: 9.375e-06, eta: 4:10:30, time: 0.193, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1852, decode.acc_seg: 92.4534, loss: 0.1852 +2023-03-04 07:39:35,472 - mmseg - INFO - Iter [97450/160000] lr: 9.375e-06, eta: 4:10:16, time: 0.190, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1950, decode.acc_seg: 92.1967, loss: 0.1950 +2023-03-04 07:39:45,344 - mmseg - INFO - Iter [97500/160000] lr: 9.375e-06, eta: 4:10:03, time: 0.197, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1788, decode.acc_seg: 92.8763, loss: 0.1788 +2023-03-04 07:39:55,160 - mmseg - INFO - Iter [97550/160000] lr: 9.375e-06, eta: 4:09:49, time: 0.196, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1936, decode.acc_seg: 92.1213, loss: 0.1936 +2023-03-04 07:40:04,862 - mmseg - INFO - Iter [97600/160000] lr: 9.375e-06, eta: 4:09:36, time: 0.194, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1948, decode.acc_seg: 92.0368, loss: 0.1948 +2023-03-04 07:40:14,372 - mmseg - INFO - Iter [97650/160000] lr: 9.375e-06, eta: 4:09:22, time: 0.190, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1867, decode.acc_seg: 92.2888, loss: 0.1867 +2023-03-04 07:40:24,475 - mmseg - INFO - Iter [97700/160000] lr: 9.375e-06, eta: 4:09:09, time: 0.202, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1790, decode.acc_seg: 92.5218, loss: 0.1790 +2023-03-04 07:40:34,226 - mmseg - INFO - Iter [97750/160000] lr: 9.375e-06, eta: 4:08:56, time: 0.195, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1805, decode.acc_seg: 92.6012, loss: 0.1805 +2023-03-04 07:40:44,139 - mmseg - INFO - Iter [97800/160000] lr: 9.375e-06, eta: 4:08:42, time: 0.198, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1784, decode.acc_seg: 92.5854, loss: 0.1784 +2023-03-04 07:40:56,243 - mmseg - INFO - Iter [97850/160000] lr: 9.375e-06, eta: 4:08:30, time: 0.242, data_time: 0.053, memory: 52540, decode.loss_ce: 0.1893, decode.acc_seg: 92.3754, loss: 0.1893 +2023-03-04 07:41:05,768 - mmseg - INFO - Iter [97900/160000] lr: 9.375e-06, eta: 4:08:17, time: 0.190, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1891, decode.acc_seg: 92.2596, loss: 0.1891 +2023-03-04 07:41:15,344 - mmseg - INFO - Iter [97950/160000] lr: 9.375e-06, eta: 4:08:03, time: 0.192, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1843, decode.acc_seg: 92.4235, loss: 0.1843 +2023-03-04 07:41:25,102 - mmseg - INFO - Exp name: ablation_segformer_mit_b2_segformer_head_unet_fc_small_multi_step_ade_pretrained_freeze_embed_160k_ade20k151_finetune_ema_cos.py +2023-03-04 07:41:25,102 - mmseg - INFO - Iter [98000/160000] lr: 9.375e-06, eta: 4:07:50, time: 0.195, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1839, decode.acc_seg: 92.4129, loss: 0.1839 +2023-03-04 07:41:34,938 - mmseg - INFO - Iter [98050/160000] lr: 9.375e-06, eta: 4:07:37, time: 0.197, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1894, decode.acc_seg: 92.2098, loss: 0.1894 +2023-03-04 07:41:44,470 - mmseg - INFO - Iter [98100/160000] lr: 9.375e-06, eta: 4:07:23, time: 0.191, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1886, decode.acc_seg: 92.2328, loss: 0.1886 +2023-03-04 07:41:54,000 - mmseg - INFO - Iter [98150/160000] lr: 9.375e-06, eta: 4:07:09, time: 0.191, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1847, decode.acc_seg: 92.3413, loss: 0.1847 +2023-03-04 07:42:03,695 - mmseg - INFO - Iter [98200/160000] lr: 9.375e-06, eta: 4:06:56, time: 0.194, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1868, decode.acc_seg: 92.3560, loss: 0.1868 +2023-03-04 07:42:13,916 - mmseg - INFO - Iter [98250/160000] lr: 9.375e-06, eta: 4:06:43, time: 0.204, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1834, decode.acc_seg: 92.3236, loss: 0.1834 +2023-03-04 07:42:23,605 - mmseg - INFO - Iter [98300/160000] lr: 9.375e-06, eta: 4:06:29, time: 0.194, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1803, decode.acc_seg: 92.4787, loss: 0.1803 +2023-03-04 07:42:33,317 - mmseg - INFO - Iter [98350/160000] lr: 9.375e-06, eta: 4:06:16, time: 0.194, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1985, decode.acc_seg: 91.8780, loss: 0.1985 +2023-03-04 07:42:43,098 - mmseg - INFO - Iter [98400/160000] lr: 9.375e-06, eta: 4:06:03, time: 0.196, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1842, decode.acc_seg: 92.3851, loss: 0.1842 +2023-03-04 07:42:55,415 - mmseg - INFO - Iter [98450/160000] lr: 9.375e-06, eta: 4:05:51, time: 0.246, data_time: 0.054, memory: 52540, decode.loss_ce: 0.1812, decode.acc_seg: 92.5885, loss: 0.1812 +2023-03-04 07:43:05,219 - mmseg - INFO - Iter [98500/160000] lr: 9.375e-06, eta: 4:05:38, time: 0.196, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1822, decode.acc_seg: 92.3895, loss: 0.1822 +2023-03-04 07:43:14,897 - mmseg - INFO - Iter [98550/160000] lr: 9.375e-06, eta: 4:05:24, time: 0.194, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1939, decode.acc_seg: 92.0194, loss: 0.1939 +2023-03-04 07:43:24,472 - mmseg - INFO - Iter [98600/160000] lr: 9.375e-06, eta: 4:05:11, time: 0.191, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1871, decode.acc_seg: 92.4215, loss: 0.1871 +2023-03-04 07:43:33,968 - mmseg - INFO - Iter [98650/160000] lr: 9.375e-06, eta: 4:04:57, time: 0.190, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1833, decode.acc_seg: 92.5235, loss: 0.1833 +2023-03-04 07:43:43,595 - mmseg - INFO - Iter [98700/160000] lr: 9.375e-06, eta: 4:04:44, time: 0.193, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1852, decode.acc_seg: 92.3539, loss: 0.1852 +2023-03-04 07:43:53,127 - mmseg - INFO - Iter [98750/160000] lr: 9.375e-06, eta: 4:04:30, time: 0.191, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1846, decode.acc_seg: 92.3639, loss: 0.1846 +2023-03-04 07:44:02,985 - mmseg - INFO - Iter [98800/160000] lr: 9.375e-06, eta: 4:04:17, time: 0.197, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1864, decode.acc_seg: 92.4103, loss: 0.1864 +2023-03-04 07:44:12,675 - mmseg - INFO - Iter [98850/160000] lr: 9.375e-06, eta: 4:04:04, time: 0.194, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1852, decode.acc_seg: 92.3705, loss: 0.1852 +2023-03-04 07:44:22,540 - mmseg - INFO - Iter [98900/160000] lr: 9.375e-06, eta: 4:03:50, time: 0.197, data_time: 0.006, memory: 52540, decode.loss_ce: 0.1884, decode.acc_seg: 92.4272, loss: 0.1884 +2023-03-04 07:44:32,234 - mmseg - INFO - Iter [98950/160000] lr: 9.375e-06, eta: 4:03:37, time: 0.194, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1883, decode.acc_seg: 92.2267, loss: 0.1883 +2023-03-04 07:44:41,959 - mmseg - INFO - Exp name: ablation_segformer_mit_b2_segformer_head_unet_fc_small_multi_step_ade_pretrained_freeze_embed_160k_ade20k151_finetune_ema_cos.py +2023-03-04 07:44:41,959 - mmseg - INFO - Iter [99000/160000] lr: 9.375e-06, eta: 4:03:24, time: 0.194, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1936, decode.acc_seg: 92.0697, loss: 0.1936 +2023-03-04 07:44:51,522 - mmseg - INFO - Iter [99050/160000] lr: 9.375e-06, eta: 4:03:10, time: 0.191, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1839, decode.acc_seg: 92.5306, loss: 0.1839 +2023-03-04 07:45:03,693 - mmseg - INFO - Iter [99100/160000] lr: 9.375e-06, eta: 4:02:58, time: 0.243, data_time: 0.054, memory: 52540, decode.loss_ce: 0.1778, decode.acc_seg: 92.5937, loss: 0.1778 +2023-03-04 07:45:13,263 - mmseg - INFO - Iter [99150/160000] lr: 9.375e-06, eta: 4:02:45, time: 0.191, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1826, decode.acc_seg: 92.4854, loss: 0.1826 +2023-03-04 07:45:23,043 - mmseg - INFO - Iter [99200/160000] lr: 9.375e-06, eta: 4:02:31, time: 0.196, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1875, decode.acc_seg: 92.1871, loss: 0.1875 +2023-03-04 07:45:32,879 - mmseg - INFO - Iter [99250/160000] lr: 9.375e-06, eta: 4:02:18, time: 0.197, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1834, decode.acc_seg: 92.3761, loss: 0.1834 +2023-03-04 07:45:42,603 - mmseg - INFO - Iter [99300/160000] lr: 9.375e-06, eta: 4:02:05, time: 0.194, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1912, decode.acc_seg: 92.1898, loss: 0.1912 +2023-03-04 07:45:52,415 - mmseg - INFO - Iter [99350/160000] lr: 9.375e-06, eta: 4:01:52, time: 0.196, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1881, decode.acc_seg: 92.2452, loss: 0.1881 +2023-03-04 07:46:02,014 - mmseg - INFO - Iter [99400/160000] lr: 9.375e-06, eta: 4:01:38, time: 0.192, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1894, decode.acc_seg: 92.1079, loss: 0.1894 +2023-03-04 07:46:11,766 - mmseg - INFO - Iter [99450/160000] lr: 9.375e-06, eta: 4:01:25, time: 0.195, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1849, decode.acc_seg: 92.4597, loss: 0.1849 +2023-03-04 07:46:21,379 - mmseg - INFO - Iter [99500/160000] lr: 9.375e-06, eta: 4:01:12, time: 0.192, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1932, decode.acc_seg: 92.1146, loss: 0.1932 +2023-03-04 07:46:31,286 - mmseg - INFO - Iter [99550/160000] lr: 9.375e-06, eta: 4:00:58, time: 0.198, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1899, decode.acc_seg: 92.2013, loss: 0.1899 +2023-03-04 07:46:40,951 - mmseg - INFO - Iter [99600/160000] lr: 9.375e-06, eta: 4:00:45, time: 0.193, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1880, decode.acc_seg: 92.2662, loss: 0.1880 +2023-03-04 07:46:50,584 - mmseg - INFO - Iter [99650/160000] lr: 9.375e-06, eta: 4:00:32, time: 0.193, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1904, decode.acc_seg: 92.0949, loss: 0.1904 +2023-03-04 07:47:03,067 - mmseg - INFO - Iter [99700/160000] lr: 9.375e-06, eta: 4:00:20, time: 0.249, data_time: 0.055, memory: 52540, decode.loss_ce: 0.1863, decode.acc_seg: 92.3195, loss: 0.1863 +2023-03-04 07:47:12,710 - mmseg - INFO - Iter [99750/160000] lr: 9.375e-06, eta: 4:00:07, time: 0.193, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1807, decode.acc_seg: 92.4266, loss: 0.1807 +2023-03-04 07:47:22,436 - mmseg - INFO - Iter [99800/160000] lr: 9.375e-06, eta: 3:59:53, time: 0.194, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1824, decode.acc_seg: 92.3528, loss: 0.1824 +2023-03-04 07:47:32,132 - mmseg - INFO - Iter [99850/160000] lr: 9.375e-06, eta: 3:59:40, time: 0.194, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1912, decode.acc_seg: 92.1398, loss: 0.1912 +2023-03-04 07:47:42,027 - mmseg - INFO - Iter [99900/160000] lr: 9.375e-06, eta: 3:59:27, time: 0.198, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1857, decode.acc_seg: 92.3104, loss: 0.1857 +2023-03-04 07:47:51,684 - mmseg - INFO - Iter [99950/160000] lr: 9.375e-06, eta: 3:59:13, time: 0.193, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1800, decode.acc_seg: 92.4997, loss: 0.1800 +2023-03-04 07:48:01,574 - mmseg - INFO - Exp name: ablation_segformer_mit_b2_segformer_head_unet_fc_small_multi_step_ade_pretrained_freeze_embed_160k_ade20k151_finetune_ema_cos.py +2023-03-04 07:48:01,574 - mmseg - INFO - Iter [100000/160000] lr: 9.375e-06, eta: 3:59:00, time: 0.198, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1885, decode.acc_seg: 92.1446, loss: 0.1885 +2023-03-04 07:48:11,132 - mmseg - INFO - Iter [100050/160000] lr: 4.687e-06, eta: 3:58:47, time: 0.191, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1889, decode.acc_seg: 92.1760, loss: 0.1889 +2023-03-04 07:48:21,042 - mmseg - INFO - Iter [100100/160000] lr: 4.687e-06, eta: 3:58:34, time: 0.198, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1812, decode.acc_seg: 92.4682, loss: 0.1812 +2023-03-04 07:48:30,503 - mmseg - INFO - Iter [100150/160000] lr: 4.687e-06, eta: 3:58:20, time: 0.189, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1833, decode.acc_seg: 92.5424, loss: 0.1833 +2023-03-04 07:48:40,258 - mmseg - INFO - Iter [100200/160000] lr: 4.687e-06, eta: 3:58:07, time: 0.195, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1873, decode.acc_seg: 92.3728, loss: 0.1873 +2023-03-04 07:48:50,101 - mmseg - INFO - Iter [100250/160000] lr: 4.687e-06, eta: 3:57:54, time: 0.197, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1828, decode.acc_seg: 92.4736, loss: 0.1828 +2023-03-04 07:49:00,027 - mmseg - INFO - Iter [100300/160000] lr: 4.687e-06, eta: 3:57:41, time: 0.199, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1885, decode.acc_seg: 92.3924, loss: 0.1885 +2023-03-04 07:49:12,181 - mmseg - INFO - Iter [100350/160000] lr: 4.687e-06, eta: 3:57:29, time: 0.243, data_time: 0.057, memory: 52540, decode.loss_ce: 0.1824, decode.acc_seg: 92.4310, loss: 0.1824 +2023-03-04 07:49:21,975 - mmseg - INFO - Iter [100400/160000] lr: 4.687e-06, eta: 3:57:16, time: 0.196, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1778, decode.acc_seg: 92.5322, loss: 0.1778 +2023-03-04 07:49:32,295 - mmseg - INFO - Iter [100450/160000] lr: 4.687e-06, eta: 3:57:03, time: 0.206, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1880, decode.acc_seg: 92.1945, loss: 0.1880 +2023-03-04 07:49:41,867 - mmseg - INFO - Iter [100500/160000] lr: 4.687e-06, eta: 3:56:49, time: 0.192, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1876, decode.acc_seg: 92.2595, loss: 0.1876 +2023-03-04 07:49:51,764 - mmseg - INFO - Iter [100550/160000] lr: 4.687e-06, eta: 3:56:36, time: 0.198, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1926, decode.acc_seg: 92.1220, loss: 0.1926 +2023-03-04 07:50:01,531 - mmseg - INFO - Iter [100600/160000] lr: 4.687e-06, eta: 3:56:23, time: 0.195, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1834, decode.acc_seg: 92.4030, loss: 0.1834 +2023-03-04 07:50:11,361 - mmseg - INFO - Iter [100650/160000] lr: 4.687e-06, eta: 3:56:10, time: 0.197, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1837, decode.acc_seg: 92.4462, loss: 0.1837 +2023-03-04 07:50:21,108 - mmseg - INFO - Iter [100700/160000] lr: 4.687e-06, eta: 3:55:57, time: 0.195, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1848, decode.acc_seg: 92.3919, loss: 0.1848 +2023-03-04 07:50:30,857 - mmseg - INFO - Iter [100750/160000] lr: 4.687e-06, eta: 3:55:43, time: 0.195, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1828, decode.acc_seg: 92.4022, loss: 0.1828 +2023-03-04 07:50:40,728 - mmseg - INFO - Iter [100800/160000] lr: 4.687e-06, eta: 3:55:30, time: 0.197, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1858, decode.acc_seg: 92.1655, loss: 0.1858 +2023-03-04 07:50:50,502 - mmseg - INFO - Iter [100850/160000] lr: 4.687e-06, eta: 3:55:17, time: 0.195, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1824, decode.acc_seg: 92.4669, loss: 0.1824 +2023-03-04 07:51:00,137 - mmseg - INFO - Iter [100900/160000] lr: 4.687e-06, eta: 3:55:04, time: 0.193, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1806, decode.acc_seg: 92.4964, loss: 0.1806 +2023-03-04 07:51:09,825 - mmseg - INFO - Iter [100950/160000] lr: 4.687e-06, eta: 3:54:50, time: 0.194, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1860, decode.acc_seg: 92.3934, loss: 0.1860 +2023-03-04 07:51:22,108 - mmseg - INFO - Exp name: ablation_segformer_mit_b2_segformer_head_unet_fc_small_multi_step_ade_pretrained_freeze_embed_160k_ade20k151_finetune_ema_cos.py +2023-03-04 07:51:22,108 - mmseg - INFO - Iter [101000/160000] lr: 4.687e-06, eta: 3:54:39, time: 0.246, data_time: 0.056, memory: 52540, decode.loss_ce: 0.1824, decode.acc_seg: 92.4068, loss: 0.1824 +2023-03-04 07:51:31,671 - mmseg - INFO - Iter [101050/160000] lr: 4.687e-06, eta: 3:54:25, time: 0.191, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1879, decode.acc_seg: 92.2835, loss: 0.1879 +2023-03-04 07:51:41,344 - mmseg - INFO - Iter [101100/160000] lr: 4.687e-06, eta: 3:54:12, time: 0.193, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1881, decode.acc_seg: 92.2634, loss: 0.1881 +2023-03-04 07:51:51,076 - mmseg - INFO - Iter [101150/160000] lr: 4.687e-06, eta: 3:53:59, time: 0.195, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1992, decode.acc_seg: 91.9263, loss: 0.1992 +2023-03-04 07:52:00,718 - mmseg - INFO - Iter [101200/160000] lr: 4.687e-06, eta: 3:53:46, time: 0.193, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1895, decode.acc_seg: 92.1866, loss: 0.1895 +2023-03-04 07:52:10,585 - mmseg - INFO - Iter [101250/160000] lr: 4.687e-06, eta: 3:53:33, time: 0.197, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1731, decode.acc_seg: 92.9566, loss: 0.1731 +2023-03-04 07:52:20,475 - mmseg - INFO - Iter [101300/160000] lr: 4.687e-06, eta: 3:53:20, time: 0.198, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1781, decode.acc_seg: 92.7238, loss: 0.1781 +2023-03-04 07:52:30,115 - mmseg - INFO - Iter [101350/160000] lr: 4.687e-06, eta: 3:53:06, time: 0.193, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1869, decode.acc_seg: 92.3431, loss: 0.1869 +2023-03-04 07:52:39,934 - mmseg - INFO - Iter [101400/160000] lr: 4.687e-06, eta: 3:52:53, time: 0.196, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1825, decode.acc_seg: 92.4935, loss: 0.1825 +2023-03-04 07:52:50,198 - mmseg - INFO - Iter [101450/160000] lr: 4.687e-06, eta: 3:52:40, time: 0.205, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1780, decode.acc_seg: 92.6427, loss: 0.1780 +2023-03-04 07:53:00,045 - mmseg - INFO - Iter [101500/160000] lr: 4.687e-06, eta: 3:52:27, time: 0.197, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1808, decode.acc_seg: 92.4417, loss: 0.1808 +2023-03-04 07:53:10,119 - mmseg - INFO - Iter [101550/160000] lr: 4.687e-06, eta: 3:52:14, time: 0.201, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1883, decode.acc_seg: 92.0842, loss: 0.1883 +2023-03-04 07:53:22,205 - mmseg - INFO - Iter [101600/160000] lr: 4.687e-06, eta: 3:52:02, time: 0.242, data_time: 0.053, memory: 52540, decode.loss_ce: 0.1829, decode.acc_seg: 92.4428, loss: 0.1829 +2023-03-04 07:53:31,718 - mmseg - INFO - Iter [101650/160000] lr: 4.687e-06, eta: 3:51:49, time: 0.190, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1857, decode.acc_seg: 92.2504, loss: 0.1857 +2023-03-04 07:53:41,335 - mmseg - INFO - Iter [101700/160000] lr: 4.687e-06, eta: 3:51:36, time: 0.192, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1848, decode.acc_seg: 92.1558, loss: 0.1848 +2023-03-04 07:53:50,918 - mmseg - INFO - Iter [101750/160000] lr: 4.687e-06, eta: 3:51:23, time: 0.192, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1810, decode.acc_seg: 92.5121, loss: 0.1810 +2023-03-04 07:54:00,643 - mmseg - INFO - Iter [101800/160000] lr: 4.687e-06, eta: 3:51:09, time: 0.194, data_time: 0.006, memory: 52540, decode.loss_ce: 0.1818, decode.acc_seg: 92.4958, loss: 0.1818 +2023-03-04 07:54:10,587 - mmseg - INFO - Iter [101850/160000] lr: 4.687e-06, eta: 3:50:56, time: 0.199, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1809, decode.acc_seg: 92.4894, loss: 0.1809 +2023-03-04 07:54:20,456 - mmseg - INFO - Iter [101900/160000] lr: 4.687e-06, eta: 3:50:43, time: 0.197, data_time: 0.006, memory: 52540, decode.loss_ce: 0.1808, decode.acc_seg: 92.5397, loss: 0.1808 +2023-03-04 07:54:30,276 - mmseg - INFO - Iter [101950/160000] lr: 4.687e-06, eta: 3:50:30, time: 0.196, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1799, decode.acc_seg: 92.4800, loss: 0.1799 +2023-03-04 07:54:40,207 - mmseg - INFO - Exp name: ablation_segformer_mit_b2_segformer_head_unet_fc_small_multi_step_ade_pretrained_freeze_embed_160k_ade20k151_finetune_ema_cos.py +2023-03-04 07:54:40,207 - mmseg - INFO - Iter [102000/160000] lr: 4.687e-06, eta: 3:50:17, time: 0.199, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1798, decode.acc_seg: 92.3975, loss: 0.1798 +2023-03-04 07:54:49,897 - mmseg - INFO - Iter [102050/160000] lr: 4.687e-06, eta: 3:50:04, time: 0.194, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1863, decode.acc_seg: 92.3105, loss: 0.1863 +2023-03-04 07:54:59,547 - mmseg - INFO - Iter [102100/160000] lr: 4.687e-06, eta: 3:49:51, time: 0.193, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1849, decode.acc_seg: 92.3766, loss: 0.1849 +2023-03-04 07:55:09,213 - mmseg - INFO - Iter [102150/160000] lr: 4.687e-06, eta: 3:49:38, time: 0.194, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1887, decode.acc_seg: 92.3230, loss: 0.1887 +2023-03-04 07:55:18,780 - mmseg - INFO - Iter [102200/160000] lr: 4.687e-06, eta: 3:49:24, time: 0.191, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1798, decode.acc_seg: 92.4615, loss: 0.1798 +2023-03-04 07:55:30,950 - mmseg - INFO - Iter [102250/160000] lr: 4.687e-06, eta: 3:49:13, time: 0.243, data_time: 0.055, memory: 52540, decode.loss_ce: 0.1831, decode.acc_seg: 92.3101, loss: 0.1831 +2023-03-04 07:55:40,743 - mmseg - INFO - Iter [102300/160000] lr: 4.687e-06, eta: 3:48:59, time: 0.196, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1776, decode.acc_seg: 92.7240, loss: 0.1776 +2023-03-04 07:55:50,704 - mmseg - INFO - Iter [102350/160000] lr: 4.687e-06, eta: 3:48:46, time: 0.199, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1788, decode.acc_seg: 92.6124, loss: 0.1788 +2023-03-04 07:56:00,326 - mmseg - INFO - Iter [102400/160000] lr: 4.687e-06, eta: 3:48:33, time: 0.192, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1822, decode.acc_seg: 92.4474, loss: 0.1822 +2023-03-04 07:56:09,930 - mmseg - INFO - Iter [102450/160000] lr: 4.687e-06, eta: 3:48:20, time: 0.192, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1810, decode.acc_seg: 92.5344, loss: 0.1810 +2023-03-04 07:56:19,548 - mmseg - INFO - Iter [102500/160000] lr: 4.687e-06, eta: 3:48:07, time: 0.192, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1879, decode.acc_seg: 92.2171, loss: 0.1879 +2023-03-04 07:56:29,066 - mmseg - INFO - Iter [102550/160000] lr: 4.687e-06, eta: 3:47:54, time: 0.190, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1870, decode.acc_seg: 92.4779, loss: 0.1870 +2023-03-04 07:56:38,531 - mmseg - INFO - Iter [102600/160000] lr: 4.687e-06, eta: 3:47:40, time: 0.189, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1848, decode.acc_seg: 92.3403, loss: 0.1848 +2023-03-04 07:56:48,050 - mmseg - INFO - Iter [102650/160000] lr: 4.687e-06, eta: 3:47:27, time: 0.190, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1825, decode.acc_seg: 92.6177, loss: 0.1825 +2023-03-04 07:56:57,763 - mmseg - INFO - Iter [102700/160000] lr: 4.687e-06, eta: 3:47:14, time: 0.194, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1892, decode.acc_seg: 92.2710, loss: 0.1892 +2023-03-04 07:57:07,304 - mmseg - INFO - Iter [102750/160000] lr: 4.687e-06, eta: 3:47:01, time: 0.191, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1952, decode.acc_seg: 91.9802, loss: 0.1952 +2023-03-04 07:57:16,891 - mmseg - INFO - Iter [102800/160000] lr: 4.687e-06, eta: 3:46:48, time: 0.192, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1900, decode.acc_seg: 92.2263, loss: 0.1900 +2023-03-04 07:57:26,373 - mmseg - INFO - Iter [102850/160000] lr: 4.687e-06, eta: 3:46:34, time: 0.190, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1753, decode.acc_seg: 92.6883, loss: 0.1753 +2023-03-04 07:57:39,036 - mmseg - INFO - Iter [102900/160000] lr: 4.687e-06, eta: 3:46:23, time: 0.253, data_time: 0.055, memory: 52540, decode.loss_ce: 0.1895, decode.acc_seg: 92.3033, loss: 0.1895 +2023-03-04 07:57:48,569 - mmseg - INFO - Iter [102950/160000] lr: 4.687e-06, eta: 3:46:10, time: 0.191, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1895, decode.acc_seg: 92.1531, loss: 0.1895 +2023-03-04 07:57:58,170 - mmseg - INFO - Exp name: ablation_segformer_mit_b2_segformer_head_unet_fc_small_multi_step_ade_pretrained_freeze_embed_160k_ade20k151_finetune_ema_cos.py +2023-03-04 07:57:58,170 - mmseg - INFO - Iter [103000/160000] lr: 4.687e-06, eta: 3:45:57, time: 0.192, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1815, decode.acc_seg: 92.5983, loss: 0.1815 +2023-03-04 07:58:07,751 - mmseg - INFO - Iter [103050/160000] lr: 4.687e-06, eta: 3:45:43, time: 0.192, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1847, decode.acc_seg: 92.4016, loss: 0.1847 +2023-03-04 07:58:17,553 - mmseg - INFO - Iter [103100/160000] lr: 4.687e-06, eta: 3:45:30, time: 0.196, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1789, decode.acc_seg: 92.5765, loss: 0.1789 +2023-03-04 07:58:27,174 - mmseg - INFO - Iter [103150/160000] lr: 4.687e-06, eta: 3:45:17, time: 0.192, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1818, decode.acc_seg: 92.5361, loss: 0.1818 +2023-03-04 07:58:36,737 - mmseg - INFO - Iter [103200/160000] lr: 4.687e-06, eta: 3:45:04, time: 0.192, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1886, decode.acc_seg: 92.3731, loss: 0.1886 +2023-03-04 07:58:46,276 - mmseg - INFO - Iter [103250/160000] lr: 4.687e-06, eta: 3:44:51, time: 0.191, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1891, decode.acc_seg: 92.2146, loss: 0.1891 +2023-03-04 07:58:56,314 - mmseg - INFO - Iter [103300/160000] lr: 4.687e-06, eta: 3:44:38, time: 0.201, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1857, decode.acc_seg: 92.4228, loss: 0.1857 +2023-03-04 07:59:05,866 - mmseg - INFO - Iter [103350/160000] lr: 4.687e-06, eta: 3:44:25, time: 0.191, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1779, decode.acc_seg: 92.6472, loss: 0.1779 +2023-03-04 07:59:15,325 - mmseg - INFO - Iter [103400/160000] lr: 4.687e-06, eta: 3:44:12, time: 0.189, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1850, decode.acc_seg: 92.4212, loss: 0.1850 +2023-03-04 07:59:24,866 - mmseg - INFO - Iter [103450/160000] lr: 4.687e-06, eta: 3:43:58, time: 0.191, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1890, decode.acc_seg: 92.2977, loss: 0.1890 +2023-03-04 07:59:37,191 - mmseg - INFO - Iter [103500/160000] lr: 4.687e-06, eta: 3:43:47, time: 0.247, data_time: 0.053, memory: 52540, decode.loss_ce: 0.1921, decode.acc_seg: 92.1297, loss: 0.1921 +2023-03-04 07:59:46,935 - mmseg - INFO - Iter [103550/160000] lr: 4.687e-06, eta: 3:43:34, time: 0.195, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1781, decode.acc_seg: 92.4759, loss: 0.1781 +2023-03-04 07:59:56,535 - mmseg - INFO - Iter [103600/160000] lr: 4.687e-06, eta: 3:43:21, time: 0.192, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1839, decode.acc_seg: 92.3698, loss: 0.1839 +2023-03-04 08:00:06,032 - mmseg - INFO - Iter [103650/160000] lr: 4.687e-06, eta: 3:43:07, time: 0.190, data_time: 0.006, memory: 52540, decode.loss_ce: 0.1854, decode.acc_seg: 92.3948, loss: 0.1854 +2023-03-04 08:00:16,114 - mmseg - INFO - Iter [103700/160000] lr: 4.687e-06, eta: 3:42:55, time: 0.202, data_time: 0.006, memory: 52540, decode.loss_ce: 0.1903, decode.acc_seg: 92.2569, loss: 0.1903 +2023-03-04 08:00:25,598 - mmseg - INFO - Iter [103750/160000] lr: 4.687e-06, eta: 3:42:41, time: 0.190, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1882, decode.acc_seg: 92.3727, loss: 0.1882 +2023-03-04 08:00:35,198 - mmseg - INFO - Iter [103800/160000] lr: 4.687e-06, eta: 3:42:28, time: 0.192, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1961, decode.acc_seg: 92.0364, loss: 0.1961 +2023-03-04 08:00:44,745 - mmseg - INFO - Iter [103850/160000] lr: 4.687e-06, eta: 3:42:15, time: 0.191, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1841, decode.acc_seg: 92.3958, loss: 0.1841 +2023-03-04 08:00:54,278 - mmseg - INFO - Iter [103900/160000] lr: 4.687e-06, eta: 3:42:02, time: 0.191, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1863, decode.acc_seg: 92.3349, loss: 0.1863 +2023-03-04 08:01:03,808 - mmseg - INFO - Iter [103950/160000] lr: 4.687e-06, eta: 3:41:49, time: 0.190, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1769, decode.acc_seg: 92.6170, loss: 0.1769 +2023-03-04 08:01:13,358 - mmseg - INFO - Exp name: ablation_segformer_mit_b2_segformer_head_unet_fc_small_multi_step_ade_pretrained_freeze_embed_160k_ade20k151_finetune_ema_cos.py +2023-03-04 08:01:13,358 - mmseg - INFO - Iter [104000/160000] lr: 4.687e-06, eta: 3:41:36, time: 0.191, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1895, decode.acc_seg: 92.2678, loss: 0.1895 +2023-03-04 08:01:22,936 - mmseg - INFO - Iter [104050/160000] lr: 4.687e-06, eta: 3:41:23, time: 0.192, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1987, decode.acc_seg: 91.8750, loss: 0.1987 +2023-03-04 08:01:32,537 - mmseg - INFO - Iter [104100/160000] lr: 4.687e-06, eta: 3:41:10, time: 0.192, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1807, decode.acc_seg: 92.5027, loss: 0.1807 +2023-03-04 08:01:44,470 - mmseg - INFO - Iter [104150/160000] lr: 4.687e-06, eta: 3:40:58, time: 0.239, data_time: 0.054, memory: 52540, decode.loss_ce: 0.1922, decode.acc_seg: 92.1061, loss: 0.1922 +2023-03-04 08:01:54,108 - mmseg - INFO - Iter [104200/160000] lr: 4.687e-06, eta: 3:40:45, time: 0.193, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1836, decode.acc_seg: 92.4894, loss: 0.1836 +2023-03-04 08:02:03,648 - mmseg - INFO - Iter [104250/160000] lr: 4.687e-06, eta: 3:40:32, time: 0.191, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1823, decode.acc_seg: 92.5135, loss: 0.1823 +2023-03-04 08:02:13,229 - mmseg - INFO - Iter [104300/160000] lr: 4.687e-06, eta: 3:40:18, time: 0.192, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1857, decode.acc_seg: 92.2892, loss: 0.1857 +2023-03-04 08:02:22,861 - mmseg - INFO - Iter [104350/160000] lr: 4.687e-06, eta: 3:40:05, time: 0.192, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1816, decode.acc_seg: 92.5377, loss: 0.1816 +2023-03-04 08:02:32,769 - mmseg - INFO - Iter [104400/160000] lr: 4.687e-06, eta: 3:39:52, time: 0.198, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1852, decode.acc_seg: 92.3809, loss: 0.1852 +2023-03-04 08:02:42,502 - mmseg - INFO - Iter [104450/160000] lr: 4.687e-06, eta: 3:39:39, time: 0.195, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1925, decode.acc_seg: 92.0418, loss: 0.1925 +2023-03-04 08:02:52,142 - mmseg - INFO - Iter [104500/160000] lr: 4.687e-06, eta: 3:39:26, time: 0.193, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1770, decode.acc_seg: 92.6196, loss: 0.1770 +2023-03-04 08:03:01,725 - mmseg - INFO - Iter [104550/160000] lr: 4.687e-06, eta: 3:39:13, time: 0.192, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1871, decode.acc_seg: 92.3276, loss: 0.1871 +2023-03-04 08:03:11,409 - mmseg - INFO - Iter [104600/160000] lr: 4.687e-06, eta: 3:39:00, time: 0.194, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1899, decode.acc_seg: 92.1312, loss: 0.1899 +2023-03-04 08:03:21,054 - mmseg - INFO - Iter [104650/160000] lr: 4.687e-06, eta: 3:38:47, time: 0.193, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1840, decode.acc_seg: 92.4634, loss: 0.1840 +2023-03-04 08:03:30,785 - mmseg - INFO - Iter [104700/160000] lr: 4.687e-06, eta: 3:38:34, time: 0.195, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1796, decode.acc_seg: 92.5801, loss: 0.1796 +2023-03-04 08:03:42,997 - mmseg - INFO - Iter [104750/160000] lr: 4.687e-06, eta: 3:38:23, time: 0.244, data_time: 0.055, memory: 52540, decode.loss_ce: 0.1888, decode.acc_seg: 92.1166, loss: 0.1888 +2023-03-04 08:03:52,691 - mmseg - INFO - Iter [104800/160000] lr: 4.687e-06, eta: 3:38:10, time: 0.194, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1824, decode.acc_seg: 92.4842, loss: 0.1824 +2023-03-04 08:04:02,389 - mmseg - INFO - Iter [104850/160000] lr: 4.687e-06, eta: 3:37:57, time: 0.194, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1847, decode.acc_seg: 92.3585, loss: 0.1847 +2023-03-04 08:04:11,976 - mmseg - INFO - Iter [104900/160000] lr: 4.687e-06, eta: 3:37:44, time: 0.192, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1897, decode.acc_seg: 92.2211, loss: 0.1897 +2023-03-04 08:04:21,489 - mmseg - INFO - Iter [104950/160000] lr: 4.687e-06, eta: 3:37:31, time: 0.190, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1875, decode.acc_seg: 92.3758, loss: 0.1875 +2023-03-04 08:04:31,095 - mmseg - INFO - Exp name: ablation_segformer_mit_b2_segformer_head_unet_fc_small_multi_step_ade_pretrained_freeze_embed_160k_ade20k151_finetune_ema_cos.py +2023-03-04 08:04:31,095 - mmseg - INFO - Iter [105000/160000] lr: 4.687e-06, eta: 3:37:18, time: 0.192, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1835, decode.acc_seg: 92.3503, loss: 0.1835 +2023-03-04 08:04:40,663 - mmseg - INFO - Iter [105050/160000] lr: 4.687e-06, eta: 3:37:04, time: 0.191, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1845, decode.acc_seg: 92.5024, loss: 0.1845 +2023-03-04 08:04:50,422 - mmseg - INFO - Iter [105100/160000] lr: 4.687e-06, eta: 3:36:52, time: 0.195, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1832, decode.acc_seg: 92.6207, loss: 0.1832 +2023-03-04 08:04:59,913 - mmseg - INFO - Iter [105150/160000] lr: 4.687e-06, eta: 3:36:38, time: 0.190, data_time: 0.006, memory: 52540, decode.loss_ce: 0.1951, decode.acc_seg: 92.0323, loss: 0.1951 +2023-03-04 08:05:09,583 - mmseg - INFO - Iter [105200/160000] lr: 4.687e-06, eta: 3:36:25, time: 0.194, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1834, decode.acc_seg: 92.5529, loss: 0.1834 +2023-03-04 08:05:19,105 - mmseg - INFO - Iter [105250/160000] lr: 4.687e-06, eta: 3:36:12, time: 0.190, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1863, decode.acc_seg: 92.3838, loss: 0.1863 +2023-03-04 08:05:28,788 - mmseg - INFO - Iter [105300/160000] lr: 4.687e-06, eta: 3:35:59, time: 0.194, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1815, decode.acc_seg: 92.5216, loss: 0.1815 +2023-03-04 08:05:38,639 - mmseg - INFO - Iter [105350/160000] lr: 4.687e-06, eta: 3:35:47, time: 0.197, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1867, decode.acc_seg: 92.1758, loss: 0.1867 +2023-03-04 08:05:50,701 - mmseg - INFO - Iter [105400/160000] lr: 4.687e-06, eta: 3:35:35, time: 0.241, data_time: 0.054, memory: 52540, decode.loss_ce: 0.1808, decode.acc_seg: 92.5452, loss: 0.1808 +2023-03-04 08:06:00,491 - mmseg - INFO - Iter [105450/160000] lr: 4.687e-06, eta: 3:35:22, time: 0.196, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1907, decode.acc_seg: 92.1557, loss: 0.1907 +2023-03-04 08:06:10,256 - mmseg - INFO - Iter [105500/160000] lr: 4.687e-06, eta: 3:35:09, time: 0.195, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1863, decode.acc_seg: 92.4305, loss: 0.1863 +2023-03-04 08:06:19,977 - mmseg - INFO - Iter [105550/160000] lr: 4.687e-06, eta: 3:34:56, time: 0.194, data_time: 0.006, memory: 52540, decode.loss_ce: 0.1934, decode.acc_seg: 92.1959, loss: 0.1934 +2023-03-04 08:06:29,691 - mmseg - INFO - Iter [105600/160000] lr: 4.687e-06, eta: 3:34:43, time: 0.194, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1851, decode.acc_seg: 92.4451, loss: 0.1851 +2023-03-04 08:06:39,522 - mmseg - INFO - Iter [105650/160000] lr: 4.687e-06, eta: 3:34:30, time: 0.197, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1870, decode.acc_seg: 92.4057, loss: 0.1870 +2023-03-04 08:06:49,224 - mmseg - INFO - Iter [105700/160000] lr: 4.687e-06, eta: 3:34:17, time: 0.194, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1892, decode.acc_seg: 92.2289, loss: 0.1892 +2023-03-04 08:06:58,866 - mmseg - INFO - Iter [105750/160000] lr: 4.687e-06, eta: 3:34:04, time: 0.193, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1891, decode.acc_seg: 92.1149, loss: 0.1891 +2023-03-04 08:07:08,458 - mmseg - INFO - Iter [105800/160000] lr: 4.687e-06, eta: 3:33:51, time: 0.192, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1754, decode.acc_seg: 92.7159, loss: 0.1754 +2023-03-04 08:07:18,131 - mmseg - INFO - Iter [105850/160000] lr: 4.687e-06, eta: 3:33:38, time: 0.193, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1854, decode.acc_seg: 92.5656, loss: 0.1854 +2023-03-04 08:07:27,777 - mmseg - INFO - Iter [105900/160000] lr: 4.687e-06, eta: 3:33:25, time: 0.193, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1906, decode.acc_seg: 92.1932, loss: 0.1906 +2023-03-04 08:07:37,400 - mmseg - INFO - Iter [105950/160000] lr: 4.687e-06, eta: 3:33:12, time: 0.192, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1830, decode.acc_seg: 92.4067, loss: 0.1830 +2023-03-04 08:07:46,856 - mmseg - INFO - Exp name: ablation_segformer_mit_b2_segformer_head_unet_fc_small_multi_step_ade_pretrained_freeze_embed_160k_ade20k151_finetune_ema_cos.py +2023-03-04 08:07:46,857 - mmseg - INFO - Iter [106000/160000] lr: 4.687e-06, eta: 3:32:59, time: 0.189, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1847, decode.acc_seg: 92.3569, loss: 0.1847 +2023-03-04 08:07:59,170 - mmseg - INFO - Iter [106050/160000] lr: 4.687e-06, eta: 3:32:48, time: 0.246, data_time: 0.054, memory: 52540, decode.loss_ce: 0.1866, decode.acc_seg: 92.2764, loss: 0.1866 +2023-03-04 08:08:08,740 - mmseg - INFO - Iter [106100/160000] lr: 4.687e-06, eta: 3:32:35, time: 0.191, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1906, decode.acc_seg: 92.3704, loss: 0.1906 +2023-03-04 08:08:18,654 - mmseg - INFO - Iter [106150/160000] lr: 4.687e-06, eta: 3:32:22, time: 0.198, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1887, decode.acc_seg: 92.2940, loss: 0.1887 +2023-03-04 08:08:28,590 - mmseg - INFO - Iter [106200/160000] lr: 4.687e-06, eta: 3:32:09, time: 0.199, data_time: 0.006, memory: 52540, decode.loss_ce: 0.1832, decode.acc_seg: 92.3755, loss: 0.1832 +2023-03-04 08:08:38,232 - mmseg - INFO - Iter [106250/160000] lr: 4.687e-06, eta: 3:31:56, time: 0.193, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1759, decode.acc_seg: 92.7530, loss: 0.1759 +2023-03-04 08:08:47,826 - mmseg - INFO - Iter [106300/160000] lr: 4.687e-06, eta: 3:31:43, time: 0.192, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1835, decode.acc_seg: 92.5101, loss: 0.1835 +2023-03-04 08:08:57,301 - mmseg - INFO - Iter [106350/160000] lr: 4.687e-06, eta: 3:31:30, time: 0.190, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1824, decode.acc_seg: 92.5546, loss: 0.1824 +2023-03-04 08:09:07,271 - mmseg - INFO - Iter [106400/160000] lr: 4.687e-06, eta: 3:31:18, time: 0.199, data_time: 0.006, memory: 52540, decode.loss_ce: 0.1824, decode.acc_seg: 92.4917, loss: 0.1824 +2023-03-04 08:09:17,337 - mmseg - INFO - Iter [106450/160000] lr: 4.687e-06, eta: 3:31:05, time: 0.201, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1817, decode.acc_seg: 92.6102, loss: 0.1817 +2023-03-04 08:09:26,983 - mmseg - INFO - Iter [106500/160000] lr: 4.687e-06, eta: 3:30:52, time: 0.193, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1944, decode.acc_seg: 91.9664, loss: 0.1944 +2023-03-04 08:09:36,601 - mmseg - INFO - Iter [106550/160000] lr: 4.687e-06, eta: 3:30:39, time: 0.193, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1806, decode.acc_seg: 92.5922, loss: 0.1806 +2023-03-04 08:09:46,371 - mmseg - INFO - Iter [106600/160000] lr: 4.687e-06, eta: 3:30:26, time: 0.195, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1881, decode.acc_seg: 92.3410, loss: 0.1881 +2023-03-04 08:09:58,783 - mmseg - INFO - Iter [106650/160000] lr: 4.687e-06, eta: 3:30:15, time: 0.248, data_time: 0.056, memory: 52540, decode.loss_ce: 0.1861, decode.acc_seg: 92.4160, loss: 0.1861 +2023-03-04 08:10:08,505 - mmseg - INFO - Iter [106700/160000] lr: 4.687e-06, eta: 3:30:02, time: 0.194, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1866, decode.acc_seg: 92.3075, loss: 0.1866 +2023-03-04 08:10:18,503 - mmseg - INFO - Iter [106750/160000] lr: 4.687e-06, eta: 3:29:49, time: 0.200, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1846, decode.acc_seg: 92.3867, loss: 0.1846 +2023-03-04 08:10:28,197 - mmseg - INFO - Iter [106800/160000] lr: 4.687e-06, eta: 3:29:36, time: 0.194, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1850, decode.acc_seg: 92.2715, loss: 0.1850 +2023-03-04 08:10:37,900 - mmseg - INFO - Iter [106850/160000] lr: 4.687e-06, eta: 3:29:23, time: 0.194, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1831, decode.acc_seg: 92.4220, loss: 0.1831 +2023-03-04 08:10:47,746 - mmseg - INFO - Iter [106900/160000] lr: 4.687e-06, eta: 3:29:10, time: 0.197, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1838, decode.acc_seg: 92.2464, loss: 0.1838 +2023-03-04 08:10:57,331 - mmseg - INFO - Iter [106950/160000] lr: 4.687e-06, eta: 3:28:58, time: 0.191, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1783, decode.acc_seg: 92.5669, loss: 0.1783 +2023-03-04 08:11:07,077 - mmseg - INFO - Exp name: ablation_segformer_mit_b2_segformer_head_unet_fc_small_multi_step_ade_pretrained_freeze_embed_160k_ade20k151_finetune_ema_cos.py +2023-03-04 08:11:07,078 - mmseg - INFO - Iter [107000/160000] lr: 4.687e-06, eta: 3:28:45, time: 0.195, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1842, decode.acc_seg: 92.2912, loss: 0.1842 +2023-03-04 08:11:17,001 - mmseg - INFO - Iter [107050/160000] lr: 4.687e-06, eta: 3:28:32, time: 0.198, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1864, decode.acc_seg: 92.2269, loss: 0.1864 +2023-03-04 08:11:26,621 - mmseg - INFO - Iter [107100/160000] lr: 4.687e-06, eta: 3:28:19, time: 0.192, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1827, decode.acc_seg: 92.6326, loss: 0.1827 +2023-03-04 08:11:36,431 - mmseg - INFO - Iter [107150/160000] lr: 4.687e-06, eta: 3:28:06, time: 0.196, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1911, decode.acc_seg: 92.2391, loss: 0.1911 +2023-03-04 08:11:46,106 - mmseg - INFO - Iter [107200/160000] lr: 4.687e-06, eta: 3:27:53, time: 0.193, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1896, decode.acc_seg: 92.1291, loss: 0.1896 +2023-03-04 08:11:55,606 - mmseg - INFO - Iter [107250/160000] lr: 4.687e-06, eta: 3:27:40, time: 0.190, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1851, decode.acc_seg: 92.4233, loss: 0.1851 +2023-03-04 08:12:07,639 - mmseg - INFO - Iter [107300/160000] lr: 4.687e-06, eta: 3:27:29, time: 0.241, data_time: 0.056, memory: 52540, decode.loss_ce: 0.1834, decode.acc_seg: 92.3809, loss: 0.1834 +2023-03-04 08:12:17,455 - mmseg - INFO - Iter [107350/160000] lr: 4.687e-06, eta: 3:27:16, time: 0.196, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1931, decode.acc_seg: 92.2417, loss: 0.1931 +2023-03-04 08:12:27,092 - mmseg - INFO - Iter [107400/160000] lr: 4.687e-06, eta: 3:27:03, time: 0.193, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1908, decode.acc_seg: 92.1907, loss: 0.1908 +2023-03-04 08:12:36,620 - mmseg - INFO - Iter [107450/160000] lr: 4.687e-06, eta: 3:26:50, time: 0.191, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1876, decode.acc_seg: 92.2883, loss: 0.1876 +2023-03-04 08:12:46,535 - mmseg - INFO - Iter [107500/160000] lr: 4.687e-06, eta: 3:26:37, time: 0.198, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1849, decode.acc_seg: 92.4163, loss: 0.1849 +2023-03-04 08:12:56,246 - mmseg - INFO - Iter [107550/160000] lr: 4.687e-06, eta: 3:26:25, time: 0.194, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1833, decode.acc_seg: 92.4322, loss: 0.1833 +2023-03-04 08:13:06,016 - mmseg - INFO - Iter [107600/160000] lr: 4.687e-06, eta: 3:26:12, time: 0.195, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1840, decode.acc_seg: 92.4807, loss: 0.1840 +2023-03-04 08:13:15,837 - mmseg - INFO - Iter [107650/160000] lr: 4.687e-06, eta: 3:25:59, time: 0.196, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1968, decode.acc_seg: 91.9277, loss: 0.1968 +2023-03-04 08:13:25,471 - mmseg - INFO - Iter [107700/160000] lr: 4.687e-06, eta: 3:25:46, time: 0.193, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1862, decode.acc_seg: 92.3180, loss: 0.1862 +2023-03-04 08:13:35,116 - mmseg - INFO - Iter [107750/160000] lr: 4.687e-06, eta: 3:25:33, time: 0.193, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1866, decode.acc_seg: 92.4324, loss: 0.1866 +2023-03-04 08:13:44,682 - mmseg - INFO - Iter [107800/160000] lr: 4.687e-06, eta: 3:25:20, time: 0.192, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1930, decode.acc_seg: 92.0966, loss: 0.1930 +2023-03-04 08:13:54,226 - mmseg - INFO - Iter [107850/160000] lr: 4.687e-06, eta: 3:25:08, time: 0.191, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1893, decode.acc_seg: 92.3839, loss: 0.1893 +2023-03-04 08:14:03,891 - mmseg - INFO - Iter [107900/160000] lr: 4.687e-06, eta: 3:24:55, time: 0.193, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1851, decode.acc_seg: 92.3364, loss: 0.1851 +2023-03-04 08:14:16,111 - mmseg - INFO - Iter [107950/160000] lr: 4.687e-06, eta: 3:24:43, time: 0.244, data_time: 0.052, memory: 52540, decode.loss_ce: 0.1850, decode.acc_seg: 92.3271, loss: 0.1850 +2023-03-04 08:14:25,726 - mmseg - INFO - Exp name: ablation_segformer_mit_b2_segformer_head_unet_fc_small_multi_step_ade_pretrained_freeze_embed_160k_ade20k151_finetune_ema_cos.py +2023-03-04 08:14:25,726 - mmseg - INFO - Iter [108000/160000] lr: 4.687e-06, eta: 3:24:30, time: 0.192, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1797, decode.acc_seg: 92.5924, loss: 0.1797 +2023-03-04 08:14:35,513 - mmseg - INFO - Iter [108050/160000] lr: 4.687e-06, eta: 3:24:17, time: 0.196, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1883, decode.acc_seg: 92.2838, loss: 0.1883 +2023-03-04 08:14:45,358 - mmseg - INFO - Iter [108100/160000] lr: 4.687e-06, eta: 3:24:05, time: 0.197, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1929, decode.acc_seg: 92.2148, loss: 0.1929 +2023-03-04 08:14:55,130 - mmseg - INFO - Iter [108150/160000] lr: 4.687e-06, eta: 3:23:52, time: 0.196, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1917, decode.acc_seg: 92.0588, loss: 0.1917 +2023-03-04 08:15:04,626 - mmseg - INFO - Iter [108200/160000] lr: 4.687e-06, eta: 3:23:39, time: 0.190, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1907, decode.acc_seg: 92.4067, loss: 0.1907 +2023-03-04 08:15:14,685 - mmseg - INFO - Iter [108250/160000] lr: 4.687e-06, eta: 3:23:26, time: 0.201, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1804, decode.acc_seg: 92.6194, loss: 0.1804 +2023-03-04 08:15:24,175 - mmseg - INFO - Iter [108300/160000] lr: 4.687e-06, eta: 3:23:14, time: 0.190, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1807, decode.acc_seg: 92.6686, loss: 0.1807 +2023-03-04 08:15:33,813 - mmseg - INFO - Iter [108350/160000] lr: 4.687e-06, eta: 3:23:01, time: 0.193, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1838, decode.acc_seg: 92.4398, loss: 0.1838 +2023-03-04 08:15:43,386 - mmseg - INFO - Iter [108400/160000] lr: 4.687e-06, eta: 3:22:48, time: 0.191, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1842, decode.acc_seg: 92.3102, loss: 0.1842 +2023-03-04 08:15:52,947 - mmseg - INFO - Iter [108450/160000] lr: 4.687e-06, eta: 3:22:35, time: 0.191, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1857, decode.acc_seg: 92.1350, loss: 0.1857 +2023-03-04 08:16:02,788 - mmseg - INFO - Iter [108500/160000] lr: 4.687e-06, eta: 3:22:22, time: 0.197, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1846, decode.acc_seg: 92.3938, loss: 0.1846 +2023-03-04 08:16:14,965 - mmseg - INFO - Iter [108550/160000] lr: 4.687e-06, eta: 3:22:11, time: 0.244, data_time: 0.056, memory: 52540, decode.loss_ce: 0.1830, decode.acc_seg: 92.3440, loss: 0.1830 +2023-03-04 08:16:24,553 - mmseg - INFO - Iter [108600/160000] lr: 4.687e-06, eta: 3:21:58, time: 0.192, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1783, decode.acc_seg: 92.6131, loss: 0.1783 +2023-03-04 08:16:34,190 - mmseg - INFO - Iter [108650/160000] lr: 4.687e-06, eta: 3:21:45, time: 0.192, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1937, decode.acc_seg: 92.0994, loss: 0.1937 +2023-03-04 08:16:43,849 - mmseg - INFO - Iter [108700/160000] lr: 4.687e-06, eta: 3:21:32, time: 0.193, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1893, decode.acc_seg: 92.2689, loss: 0.1893 +2023-03-04 08:16:53,484 - mmseg - INFO - Iter [108750/160000] lr: 4.687e-06, eta: 3:21:19, time: 0.193, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1958, decode.acc_seg: 92.1956, loss: 0.1958 +2023-03-04 08:17:03,048 - mmseg - INFO - Iter [108800/160000] lr: 4.687e-06, eta: 3:21:07, time: 0.191, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1765, decode.acc_seg: 92.5896, loss: 0.1765 +2023-03-04 08:17:12,836 - mmseg - INFO - Iter [108850/160000] lr: 4.687e-06, eta: 3:20:54, time: 0.196, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1863, decode.acc_seg: 92.2816, loss: 0.1863 +2023-03-04 08:17:22,574 - mmseg - INFO - Iter [108900/160000] lr: 4.687e-06, eta: 3:20:41, time: 0.195, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1878, decode.acc_seg: 92.4355, loss: 0.1878 +2023-03-04 08:17:32,503 - mmseg - INFO - Iter [108950/160000] lr: 4.687e-06, eta: 3:20:29, time: 0.199, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1882, decode.acc_seg: 92.1215, loss: 0.1882 +2023-03-04 08:17:42,163 - mmseg - INFO - Exp name: ablation_segformer_mit_b2_segformer_head_unet_fc_small_multi_step_ade_pretrained_freeze_embed_160k_ade20k151_finetune_ema_cos.py +2023-03-04 08:17:42,164 - mmseg - INFO - Iter [109000/160000] lr: 4.687e-06, eta: 3:20:16, time: 0.193, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1823, decode.acc_seg: 92.4579, loss: 0.1823 +2023-03-04 08:17:51,881 - mmseg - INFO - Iter [109050/160000] lr: 4.687e-06, eta: 3:20:03, time: 0.194, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1911, decode.acc_seg: 92.2073, loss: 0.1911 +2023-03-04 08:18:01,628 - mmseg - INFO - Iter [109100/160000] lr: 4.687e-06, eta: 3:19:50, time: 0.195, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1824, decode.acc_seg: 92.5516, loss: 0.1824 +2023-03-04 08:18:11,232 - mmseg - INFO - Iter [109150/160000] lr: 4.687e-06, eta: 3:19:37, time: 0.192, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1777, decode.acc_seg: 92.4230, loss: 0.1777 +2023-03-04 08:18:23,267 - mmseg - INFO - Iter [109200/160000] lr: 4.687e-06, eta: 3:19:26, time: 0.241, data_time: 0.055, memory: 52540, decode.loss_ce: 0.1892, decode.acc_seg: 92.2386, loss: 0.1892 +2023-03-04 08:18:32,788 - mmseg - INFO - Iter [109250/160000] lr: 4.687e-06, eta: 3:19:13, time: 0.190, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1848, decode.acc_seg: 92.3905, loss: 0.1848 +2023-03-04 08:18:42,437 - mmseg - INFO - Iter [109300/160000] lr: 4.687e-06, eta: 3:19:00, time: 0.193, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1806, decode.acc_seg: 92.6006, loss: 0.1806 +2023-03-04 08:18:52,026 - mmseg - INFO - Iter [109350/160000] lr: 4.687e-06, eta: 3:18:47, time: 0.192, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1832, decode.acc_seg: 92.4227, loss: 0.1832 +2023-03-04 08:19:01,707 - mmseg - INFO - Iter [109400/160000] lr: 4.687e-06, eta: 3:18:35, time: 0.194, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1837, decode.acc_seg: 92.4131, loss: 0.1837 +2023-03-04 08:19:11,297 - mmseg - INFO - Iter [109450/160000] lr: 4.687e-06, eta: 3:18:22, time: 0.192, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1801, decode.acc_seg: 92.5580, loss: 0.1801 +2023-03-04 08:19:20,741 - mmseg - INFO - Iter [109500/160000] lr: 4.687e-06, eta: 3:18:09, time: 0.189, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1863, decode.acc_seg: 92.3475, loss: 0.1863 +2023-03-04 08:19:30,448 - mmseg - INFO - Iter [109550/160000] lr: 4.687e-06, eta: 3:17:56, time: 0.194, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1901, decode.acc_seg: 92.1465, loss: 0.1901 +2023-03-04 08:19:40,586 - mmseg - INFO - Iter [109600/160000] lr: 4.687e-06, eta: 3:17:44, time: 0.203, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1859, decode.acc_seg: 92.3267, loss: 0.1859 +2023-03-04 08:19:50,206 - mmseg - INFO - Iter [109650/160000] lr: 4.687e-06, eta: 3:17:31, time: 0.193, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1870, decode.acc_seg: 92.4156, loss: 0.1870 +2023-03-04 08:19:59,797 - mmseg - INFO - Iter [109700/160000] lr: 4.687e-06, eta: 3:17:18, time: 0.192, data_time: 0.007, memory: 52540, decode.loss_ce: 0.2008, decode.acc_seg: 91.7669, loss: 0.2008 +2023-03-04 08:20:09,634 - mmseg - INFO - Iter [109750/160000] lr: 4.687e-06, eta: 3:17:06, time: 0.197, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1791, decode.acc_seg: 92.5737, loss: 0.1791 +2023-03-04 08:20:21,717 - mmseg - INFO - Iter [109800/160000] lr: 4.687e-06, eta: 3:16:54, time: 0.242, data_time: 0.054, memory: 52540, decode.loss_ce: 0.1821, decode.acc_seg: 92.6375, loss: 0.1821 +2023-03-04 08:20:31,665 - mmseg - INFO - Iter [109850/160000] lr: 4.687e-06, eta: 3:16:41, time: 0.199, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1830, decode.acc_seg: 92.4276, loss: 0.1830 +2023-03-04 08:20:41,349 - mmseg - INFO - Iter [109900/160000] lr: 4.687e-06, eta: 3:16:29, time: 0.194, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1847, decode.acc_seg: 92.4741, loss: 0.1847 +2023-03-04 08:20:51,001 - mmseg - INFO - Iter [109950/160000] lr: 4.687e-06, eta: 3:16:16, time: 0.193, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1835, decode.acc_seg: 92.3138, loss: 0.1835 +2023-03-04 08:21:00,643 - mmseg - INFO - Exp name: ablation_segformer_mit_b2_segformer_head_unet_fc_small_multi_step_ade_pretrained_freeze_embed_160k_ade20k151_finetune_ema_cos.py +2023-03-04 08:21:00,644 - mmseg - INFO - Iter [110000/160000] lr: 4.687e-06, eta: 3:16:03, time: 0.193, data_time: 0.006, memory: 52540, decode.loss_ce: 0.1879, decode.acc_seg: 92.3576, loss: 0.1879 +2023-03-04 08:21:11,101 - mmseg - INFO - Iter [110050/160000] lr: 4.687e-06, eta: 3:15:51, time: 0.209, data_time: 0.008, memory: 52540, decode.loss_ce: 0.1811, decode.acc_seg: 92.4896, loss: 0.1811 +2023-03-04 08:21:20,737 - mmseg - INFO - Iter [110100/160000] lr: 4.687e-06, eta: 3:15:38, time: 0.193, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1841, decode.acc_seg: 92.3972, loss: 0.1841 +2023-03-04 08:21:30,705 - mmseg - INFO - Iter [110150/160000] lr: 4.687e-06, eta: 3:15:26, time: 0.199, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1888, decode.acc_seg: 92.3119, loss: 0.1888 +2023-03-04 08:21:40,522 - mmseg - INFO - Iter [110200/160000] lr: 4.687e-06, eta: 3:15:13, time: 0.196, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1857, decode.acc_seg: 92.4087, loss: 0.1857 +2023-03-04 08:21:50,045 - mmseg - INFO - Iter [110250/160000] lr: 4.687e-06, eta: 3:15:00, time: 0.190, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1889, decode.acc_seg: 92.3997, loss: 0.1889 +2023-03-04 08:21:59,554 - mmseg - INFO - Iter [110300/160000] lr: 4.687e-06, eta: 3:14:47, time: 0.190, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1887, decode.acc_seg: 92.2165, loss: 0.1887 +2023-03-04 08:22:09,077 - mmseg - INFO - Iter [110350/160000] lr: 4.687e-06, eta: 3:14:35, time: 0.190, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1813, decode.acc_seg: 92.5241, loss: 0.1813 +2023-03-04 08:22:18,800 - mmseg - INFO - Iter [110400/160000] lr: 4.687e-06, eta: 3:14:22, time: 0.194, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1840, decode.acc_seg: 92.4415, loss: 0.1840 +2023-03-04 08:22:30,994 - mmseg - INFO - Iter [110450/160000] lr: 4.687e-06, eta: 3:14:10, time: 0.244, data_time: 0.056, memory: 52540, decode.loss_ce: 0.1827, decode.acc_seg: 92.4657, loss: 0.1827 +2023-03-04 08:22:40,948 - mmseg - INFO - Iter [110500/160000] lr: 4.687e-06, eta: 3:13:58, time: 0.199, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1887, decode.acc_seg: 92.1483, loss: 0.1887 +2023-03-04 08:22:50,574 - mmseg - INFO - Iter [110550/160000] lr: 4.687e-06, eta: 3:13:45, time: 0.193, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1923, decode.acc_seg: 92.0754, loss: 0.1923 +2023-03-04 08:23:00,532 - mmseg - INFO - Iter [110600/160000] lr: 4.687e-06, eta: 3:13:33, time: 0.199, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1893, decode.acc_seg: 92.1337, loss: 0.1893 +2023-03-04 08:23:10,130 - mmseg - INFO - Iter [110650/160000] lr: 4.687e-06, eta: 3:13:20, time: 0.192, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1874, decode.acc_seg: 92.2306, loss: 0.1874 +2023-03-04 08:23:19,908 - mmseg - INFO - Iter [110700/160000] lr: 4.687e-06, eta: 3:13:07, time: 0.196, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1882, decode.acc_seg: 92.1747, loss: 0.1882 +2023-03-04 08:23:29,539 - mmseg - INFO - Iter [110750/160000] lr: 4.687e-06, eta: 3:12:55, time: 0.193, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1809, decode.acc_seg: 92.5012, loss: 0.1809 +2023-03-04 08:23:39,274 - mmseg - INFO - Iter [110800/160000] lr: 4.687e-06, eta: 3:12:42, time: 0.195, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1878, decode.acc_seg: 92.2396, loss: 0.1878 +2023-03-04 08:23:48,813 - mmseg - INFO - Iter [110850/160000] lr: 4.687e-06, eta: 3:12:29, time: 0.191, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1753, decode.acc_seg: 92.6072, loss: 0.1753 +2023-03-04 08:23:58,362 - mmseg - INFO - Iter [110900/160000] lr: 4.687e-06, eta: 3:12:16, time: 0.191, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1874, decode.acc_seg: 92.2216, loss: 0.1874 +2023-03-04 08:24:08,450 - mmseg - INFO - Iter [110950/160000] lr: 4.687e-06, eta: 3:12:04, time: 0.202, data_time: 0.006, memory: 52540, decode.loss_ce: 0.1815, decode.acc_seg: 92.5226, loss: 0.1815 +2023-03-04 08:24:18,243 - mmseg - INFO - Exp name: ablation_segformer_mit_b2_segformer_head_unet_fc_small_multi_step_ade_pretrained_freeze_embed_160k_ade20k151_finetune_ema_cos.py +2023-03-04 08:24:18,243 - mmseg - INFO - Iter [111000/160000] lr: 4.687e-06, eta: 3:11:51, time: 0.196, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1832, decode.acc_seg: 92.5161, loss: 0.1832 +2023-03-04 08:24:28,009 - mmseg - INFO - Iter [111050/160000] lr: 4.687e-06, eta: 3:11:39, time: 0.195, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1852, decode.acc_seg: 92.4941, loss: 0.1852 +2023-03-04 08:24:40,177 - mmseg - INFO - Iter [111100/160000] lr: 4.687e-06, eta: 3:11:27, time: 0.243, data_time: 0.055, memory: 52540, decode.loss_ce: 0.1930, decode.acc_seg: 92.1424, loss: 0.1930 +2023-03-04 08:24:50,215 - mmseg - INFO - Iter [111150/160000] lr: 4.687e-06, eta: 3:11:15, time: 0.201, data_time: 0.006, memory: 52540, decode.loss_ce: 0.1845, decode.acc_seg: 92.5206, loss: 0.1845 +2023-03-04 08:24:59,764 - mmseg - INFO - Iter [111200/160000] lr: 4.687e-06, eta: 3:11:02, time: 0.191, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1852, decode.acc_seg: 92.4572, loss: 0.1852 +2023-03-04 08:25:09,305 - mmseg - INFO - Iter [111250/160000] lr: 4.687e-06, eta: 3:10:49, time: 0.191, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1930, decode.acc_seg: 92.1150, loss: 0.1930 +2023-03-04 08:25:18,970 - mmseg - INFO - Iter [111300/160000] lr: 4.687e-06, eta: 3:10:37, time: 0.193, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1925, decode.acc_seg: 92.2122, loss: 0.1925 +2023-03-04 08:25:28,722 - mmseg - INFO - Iter [111350/160000] lr: 4.687e-06, eta: 3:10:24, time: 0.195, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1865, decode.acc_seg: 92.3847, loss: 0.1865 +2023-03-04 08:25:38,365 - mmseg - INFO - Iter [111400/160000] lr: 4.687e-06, eta: 3:10:11, time: 0.193, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1840, decode.acc_seg: 92.3999, loss: 0.1840 +2023-03-04 08:25:47,877 - mmseg - INFO - Iter [111450/160000] lr: 4.687e-06, eta: 3:09:59, time: 0.190, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1809, decode.acc_seg: 92.5108, loss: 0.1809 +2023-03-04 08:25:57,516 - mmseg - INFO - Iter [111500/160000] lr: 4.687e-06, eta: 3:09:46, time: 0.193, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1864, decode.acc_seg: 92.4441, loss: 0.1864 +2023-03-04 08:26:07,212 - mmseg - INFO - Iter [111550/160000] lr: 4.687e-06, eta: 3:09:33, time: 0.194, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1810, decode.acc_seg: 92.3852, loss: 0.1810 +2023-03-04 08:26:16,794 - mmseg - INFO - Iter [111600/160000] lr: 4.687e-06, eta: 3:09:21, time: 0.192, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1864, decode.acc_seg: 92.2372, loss: 0.1864 +2023-03-04 08:26:26,302 - mmseg - INFO - Iter [111650/160000] lr: 4.687e-06, eta: 3:09:08, time: 0.190, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1805, decode.acc_seg: 92.5050, loss: 0.1805 +2023-03-04 08:26:38,658 - mmseg - INFO - Iter [111700/160000] lr: 4.687e-06, eta: 3:08:56, time: 0.247, data_time: 0.053, memory: 52540, decode.loss_ce: 0.2029, decode.acc_seg: 91.7015, loss: 0.2029 +2023-03-04 08:26:48,627 - mmseg - INFO - Iter [111750/160000] lr: 4.687e-06, eta: 3:08:44, time: 0.199, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1860, decode.acc_seg: 92.4545, loss: 0.1860 +2023-03-04 08:26:58,323 - mmseg - INFO - Iter [111800/160000] lr: 4.687e-06, eta: 3:08:31, time: 0.194, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1819, decode.acc_seg: 92.4960, loss: 0.1819 +2023-03-04 08:27:08,079 - mmseg - INFO - Iter [111850/160000] lr: 4.687e-06, eta: 3:08:19, time: 0.195, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1838, decode.acc_seg: 92.5327, loss: 0.1838 +2023-03-04 08:27:17,974 - mmseg - INFO - Iter [111900/160000] lr: 4.687e-06, eta: 3:08:06, time: 0.198, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1793, decode.acc_seg: 92.4968, loss: 0.1793 +2023-03-04 08:27:27,727 - mmseg - INFO - Iter [111950/160000] lr: 4.687e-06, eta: 3:07:54, time: 0.195, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1901, decode.acc_seg: 92.1156, loss: 0.1901 +2023-03-04 08:27:37,313 - mmseg - INFO - Swap parameters (after train) after iter [112000] +2023-03-04 08:27:37,327 - mmseg - INFO - Saving checkpoint at 112000 iterations +2023-03-04 08:27:38,328 - mmseg - INFO - Exp name: ablation_segformer_mit_b2_segformer_head_unet_fc_small_multi_step_ade_pretrained_freeze_embed_160k_ade20k151_finetune_ema_cos.py +2023-03-04 08:27:38,328 - mmseg - INFO - Iter [112000/160000] lr: 4.687e-06, eta: 3:07:41, time: 0.212, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1815, decode.acc_seg: 92.5723, loss: 0.1815 +2023-03-04 08:38:40,349 - mmseg - INFO - per class results: +2023-03-04 08:38:40,358 - mmseg - INFO - ++---------------------+-------------------------------------------------------------------+ +| Class | IoU 0,10,20,30,40,50,60,70,80,90,99 | ++---------------------+-------------------------------------------------------------------+ +| background | nan,nan,nan,nan,nan,nan,nan,nan,nan,nan,nan | +| wall | 77.4,77.41,77.42,77.41,77.41,77.42,77.44,77.47,77.48,77.49,77.51 | +| building | 81.64,81.64,81.65,81.64,81.64,81.66,81.66,81.68,81.69,81.71,81.71 | +| sky | 94.41,94.41,94.41,94.41,94.41,94.42,94.42,94.42,94.42,94.42,94.42 | +| floor | 81.67,81.65,81.65,81.66,81.66,81.66,81.67,81.67,81.66,81.66,81.66 | +| tree | 74.43,74.41,74.41,74.42,74.42,74.43,74.43,74.45,74.46,74.46,74.44 | +| ceiling | 85.3,85.29,85.3,85.28,85.28,85.32,85.32,85.36,85.38,85.39,85.4 | +| road | 82.13,82.12,82.12,82.11,82.12,82.11,82.1,82.1,82.1,82.1,82.14 | +| bed | 87.94,87.95,87.94,87.96,87.94,87.95,87.97,87.97,88.02,87.99,88.04 | +| windowpane | 60.83,60.84,60.81,60.85,60.86,60.91,60.89,60.92,60.95,60.97,61.0 | +| grass | 67.15,67.15,67.17,67.16,67.19,67.18,67.19,67.22,67.22,67.24,67.25 | +| cabinet | 61.61,61.58,61.6,61.61,61.65,61.72,61.91,62.02,62.22,62.29,62.35 | +| sidewalk | 64.62,64.58,64.62,64.58,64.59,64.62,64.6,64.63,64.62,64.63,64.68 | +| person | 79.61,79.61,79.62,79.61,79.62,79.62,79.62,79.65,79.67,79.66,79.66 | +| earth | 35.77,35.75,35.77,35.76,35.74,35.79,35.79,35.8,35.74,35.71,35.68 | +| door | 46.06,46.09,46.13,46.11,46.14,46.14,46.13,46.09,46.06,46.08,46.11 | +| table | 61.11,61.14,61.13,61.13,61.15,61.16,61.23,61.3,61.36,61.46,61.44 | +| mountain | 56.75,56.74,56.75,56.73,56.76,56.76,56.82,56.83,56.94,57.05,57.05 | +| plant | 49.6,49.58,49.58,49.59,49.56,49.59,49.58,49.59,49.58,49.59,49.54 | +| curtain | 74.45,74.42,74.44,74.41,74.45,74.42,74.4,74.41,74.32,74.41,74.62 | +| chair | 56.83,56.85,56.84,56.84,56.85,56.86,56.89,56.93,56.97,57.0,57.04 | +| car | 81.86,81.86,81.84,81.82,81.85,81.82,81.85,81.85,81.87,81.88,81.89 | +| water | 57.26,57.25,57.28,57.2,57.25,57.29,57.27,57.33,57.37,57.41,57.48 | +| painting | 70.49,70.51,70.49,70.48,70.52,70.5,70.49,70.42,70.34,70.32,70.24 | +| sofa | 64.49,64.52,64.55,64.51,64.51,64.6,64.7,64.82,64.89,64.93,65.02 | +| shelf | 44.15,44.16,44.18,44.15,44.17,44.17,44.24,44.38,44.44,44.45,44.5 | +| house | 42.76,42.83,42.79,42.88,42.86,42.98,42.98,43.07,43.14,43.17,43.21 | +| sea | 60.3,60.29,60.33,60.22,60.29,60.35,60.33,60.38,60.44,60.49,60.53 | +| mirror | 67.15,67.19,67.21,67.26,67.23,67.25,67.35,67.31,67.38,67.41,67.46 | +| rug | 64.57,64.53,64.52,64.53,64.54,64.54,64.6,64.65,64.72,64.81,64.96 | +| field | 30.66,30.64,30.65,30.65,30.64,30.65,30.6,30.58,30.55,30.59,30.6 | +| armchair | 38.08,38.12,38.11,38.12,38.06,38.13,38.18,38.15,38.13,38.07,38.06 | +| seat | 66.56,66.52,66.57,66.58,66.59,66.6,66.6,66.62,66.74,66.8,66.93 | +| fence | 40.59,40.59,40.6,40.63,40.69,40.75,40.64,40.78,40.84,40.96,40.94 | +| desk | 47.28,47.21,47.26,47.27,47.25,47.44,47.47,47.62,47.73,47.82,47.88 | +| rock | 36.85,36.83,36.83,36.84,36.85,36.84,36.86,36.87,36.96,36.98,37.03 | +| wardrobe | 57.94,57.91,57.88,57.88,57.94,57.95,58.03,58.0,57.94,57.92,57.96 | +| lamp | 61.97,61.94,61.94,61.94,61.93,61.96,61.93,61.97,61.9,61.9,61.81 | +| bathtub | 76.16,76.12,76.07,76.12,76.1,76.13,76.23,76.08,76.2,76.1,75.88 | +| railing | 33.9,33.83,33.83,33.83,33.83,33.83,33.75,33.77,33.67,33.63,33.57 | +| cushion | 57.15,57.03,57.08,57.13,57.14,57.06,57.11,57.08,57.0,56.94,56.91 | +| base | 22.33,22.39,22.41,22.37,22.42,22.41,22.47,22.48,22.58,22.56,22.52 | +| box | 23.16,23.16,23.14,23.16,23.12,23.22,23.2,23.31,23.41,23.52,23.58 | +| column | 46.62,46.67,46.63,46.65,46.68,46.72,46.71,46.72,46.76,46.7,46.81 | +| signboard | 37.8,37.88,37.88,37.86,37.84,37.78,37.89,37.9,37.75,37.63,37.56 | +| chest of drawers | 36.1,36.12,36.13,36.19,36.15,36.16,36.18,36.15,36.11,36.1,35.9 | +| counter | 31.12,31.1,31.13,31.1,31.16,31.3,31.31,31.45,31.5,31.58,31.59 | +| sand | 42.64,42.65,42.61,42.66,42.65,42.67,42.78,42.82,43.01,43.08,43.14 | +| sink | 67.62,67.66,67.62,67.62,67.66,67.64,67.61,67.54,67.54,67.51,67.46 | +| skyscraper | 49.88,49.81,49.79,49.9,49.81,49.69,49.69,49.46,49.36,49.15,49.03 | +| fireplace | 76.01,75.99,75.95,75.86,75.96,76.13,76.17,76.27,76.38,76.61,76.82 | +| refrigerator | 75.17,75.22,75.25,75.18,75.2,75.31,75.41,75.72,75.76,76.02,76.09 | +| grandstand | 54.11,54.09,54.14,54.08,54.04,54.19,54.44,54.56,54.84,55.27,55.35 | +| path | 22.84,22.75,22.75,22.74,22.78,22.82,22.82,22.97,23.01,23.09,23.12 | +| stairs | 31.87,31.9,31.92,31.92,31.89,31.94,31.94,31.95,31.92,31.99,31.97 | +| runway | 67.59,67.6,67.58,67.63,67.64,67.66,67.76,67.79,67.82,67.88,67.92 | +| case | 49.25,49.22,49.17,49.2,49.22,49.15,49.23,49.34,49.38,49.45,49.57 | +| pool table | 91.92,91.95,91.92,91.96,91.92,91.94,91.95,91.97,92.01,92.05,92.09 | +| pillow | 61.1,60.83,61.03,61.08,61.13,61.01,60.87,60.8,60.65,60.46,60.37 | +| screen door | 71.83,72.01,72.03,72.07,72.11,72.05,72.31,72.48,72.6,72.55,72.79 | +| stairway | 23.54,23.59,23.58,23.58,23.52,23.57,23.58,23.58,23.61,23.58,23.68 | +| river | 11.74,11.76,11.77,11.76,11.77,11.77,11.77,11.77,11.78,11.76,11.76 | +| bridge | 31.81,31.87,31.77,31.89,31.94,31.76,31.88,31.82,31.74,31.91,32.0 | +| bookcase | 45.28,45.24,45.3,45.26,45.23,45.25,45.27,45.24,45.14,45.07,45.03 | +| blind | 40.28,40.35,40.21,40.5,40.47,40.45,40.52,40.79,40.96,40.93,41.09 | +| coffee table | 53.11,53.05,53.1,52.97,53.05,53.01,53.11,53.18,53.26,53.39,53.44 | +| toilet | 83.65,83.71,83.67,83.66,83.65,83.71,83.6,83.57,83.62,83.63,83.62 | +| flower | 38.59,38.62,38.56,38.62,38.59,38.63,38.59,38.53,38.57,38.54,38.51 | +| book | 45.39,45.37,45.35,45.37,45.35,45.38,45.27,45.19,45.22,45.09,44.98 | +| hill | 15.0,14.96,15.0,14.91,14.95,15.01,15.01,15.03,15.17,15.3,15.25 | +| bench | 43.52,43.37,43.44,43.51,43.41,43.42,43.45,43.33,43.4,43.45,43.49 | +| countertop | 55.13,55.13,55.16,55.2,55.11,55.16,55.11,55.22,55.54,55.68,55.83 | +| stove | 71.86,71.92,71.94,71.81,71.91,71.79,71.87,71.8,71.67,71.54,71.37 | +| palm | 48.12,48.11,48.15,48.21,48.07,48.13,48.16,48.2,48.25,48.31,48.33 | +| kitchen island | 46.36,46.36,46.34,46.36,46.51,46.33,46.59,46.3,46.44,45.92,45.54 | +| computer | 60.65,60.71,60.72,60.69,60.7,60.71,60.72,60.72,60.67,60.69,60.62 | +| swivel chair | 44.25,44.21,44.16,44.29,44.25,44.38,44.47,44.54,44.74,44.83,45.04 | +| boat | 73.34,73.44,73.35,73.41,73.29,73.34,73.39,73.38,73.71,73.69,73.8 | +| bar | 23.92,23.94,23.91,23.91,23.95,23.94,23.97,23.95,23.96,23.91,24.0 | +| arcade machine | 68.42,68.44,68.6,68.62,68.6,68.67,68.94,68.65,68.67,68.95,68.49 | +| hovel | 31.5,31.61,31.56,31.56,31.68,31.81,31.86,31.91,32.02,32.18,32.25 | +| bus | 79.85,79.77,79.77,79.63,79.74,79.84,79.8,79.78,79.87,79.85,79.86 | +| towel | 62.41,62.38,62.36,62.27,62.23,62.32,62.34,62.28,62.42,62.6,62.61 | +| light | 55.83,55.75,55.77,55.77,55.8,55.79,55.81,55.86,55.89,55.85,55.86 | +| truck | 19.12,19.07,19.11,19.02,19.08,19.07,19.1,19.17,19.08,19.07,19.11 | +| tower | 8.07,8.03,8.13,8.11,8.08,8.19,8.12,8.12,8.29,8.43,8.42 | +| chandelier | 63.99,63.93,64.02,63.93,63.93,63.89,64.01,63.96,64.01,64.06,64.11 | +| awning | 24.67,24.75,24.62,24.75,24.71,24.86,24.87,25.17,25.27,25.53,25.73 | +| streetlight | 27.57,27.59,27.6,27.48,27.55,27.55,27.59,27.55,27.49,27.48,27.35 | +| booth | 45.95,45.84,45.88,46.1,45.9,45.83,46.08,46.13,46.08,45.06,44.1 | +| television receiver | 64.26,64.26,64.24,64.22,64.22,64.41,64.37,64.44,64.54,64.56,64.66 | +| airplane | 60.09,60.12,60.13,60.1,60.1,60.16,60.07,59.97,59.76,59.67,59.25 | +| dirt track | 20.39,20.38,20.43,20.44,20.47,20.52,20.66,20.72,20.88,21.09,21.03 | +| apparel | 34.44,34.56,34.67,34.54,34.48,34.7,34.72,34.85,34.9,35.21,35.25 | +| pole | 19.5,19.48,19.54,19.46,19.52,19.6,19.46,19.4,19.37,19.28,19.11 | +| land | 3.86,3.83,3.81,3.82,3.85,3.88,3.87,3.89,3.9,3.89,3.94 | +| bannister | 12.69,12.79,12.75,12.58,12.65,12.69,12.76,12.86,12.82,12.83,12.91 | +| escalator | 24.14,24.16,24.1,24.2,24.17,24.17,24.19,24.26,24.33,24.46,24.56 | +| ottoman | 44.19,44.19,44.3,44.11,44.35,44.32,44.21,44.31,44.33,44.19,44.61 | +| bottle | 34.68,34.73,34.73,34.61,34.71,34.75,34.75,34.71,34.73,34.79,34.72 | +| buffet | 44.26,44.38,44.3,44.1,44.65,44.71,44.89,45.49,45.76,45.91,46.02 | +| poster | 22.78,22.74,22.72,22.66,22.77,22.81,22.78,22.93,22.83,22.95,23.36 | +| stage | 14.21,14.28,14.21,14.26,14.26,14.25,14.24,14.21,14.15,14.11,14.07 | +| van | 38.76,38.73,38.69,38.8,38.76,38.7,38.64,38.67,38.54,38.43,38.4 | +| ship | 83.47,83.46,83.4,83.38,83.42,83.59,83.64,83.75,83.98,84.04,84.14 | +| fountain | 22.21,22.16,22.06,22.16,22.14,22.2,22.32,22.39,22.39,22.43,22.7 | +| conveyer belt | 85.6,85.61,85.53,85.63,85.62,85.7,85.69,85.69,85.87,85.97,86.07 | +| canopy | 22.82,22.8,22.81,22.88,22.96,23.01,23.17,23.31,23.69,23.79,24.24 | +| washer | 73.23,73.11,73.25,73.29,73.4,73.21,73.33,73.18,73.48,73.47,73.56 | +| plaything | 19.71,19.78,19.81,19.73,19.67,19.67,19.7,19.72,19.63,19.45,19.4 | +| swimming pool | 74.72,74.44,74.62,74.55,74.49,74.84,75.1,75.23,75.64,75.14,74.56 | +| stool | 43.88,44.05,43.99,43.87,43.89,43.74,43.88,43.8,43.63,43.62,43.52 | +| barrel | 49.83,49.25,49.52,50.51,48.81,50.79,49.55,49.09,51.32,53.17,53.55 | +| basket | 24.16,24.15,24.19,24.12,24.19,24.2,24.18,24.21,24.14,24.12,24.13 | +| waterfall | 49.29,49.34,49.3,49.36,49.39,49.22,49.24,49.25,49.32,49.36,49.47 | +| tent | 94.75,94.8,94.78,94.74,94.69,94.77,94.76,94.77,94.81,94.76,94.74 | +| bag | 16.02,15.94,15.91,16.13,15.98,16.05,16.09,15.96,16.15,16.36,16.48 | +| minibike | 62.52,62.6,62.52,62.6,62.57,62.69,62.54,62.63,62.61,62.61,62.36 | +| cradle | 84.52,84.48,84.51,84.6,84.56,84.65,84.7,84.86,85.09,85.35,85.56 | +| oven | 49.13,49.02,49.08,48.95,49.06,49.12,49.05,49.05,49.08,49.21,49.27 | +| ball | 47.26,47.59,47.35,47.39,47.44,47.28,47.27,47.22,47.19,47.05,46.86 | +| food | 54.38,54.32,54.31,54.35,54.36,54.32,54.4,54.56,54.51,54.59,54.66 | +| step | 6.62,6.58,6.6,6.66,6.71,6.71,6.7,6.65,6.66,6.64,6.65 | +| tank | 51.89,51.9,51.95,51.86,51.91,51.74,51.76,51.64,51.46,51.34,51.07 | +| trade name | 26.92,26.99,26.83,26.96,27.09,26.9,26.89,26.84,26.86,26.93,26.92 | +| microwave | 72.35,72.37,72.33,72.3,72.51,72.44,72.62,72.61,72.71,72.88,72.97 | +| pot | 30.21,30.24,30.24,30.3,30.25,30.29,30.32,30.3,30.44,30.54,30.6 | +| animal | 54.26,54.19,54.22,54.25,54.25,54.28,54.22,54.15,54.07,53.98,53.99 | +| bicycle | 54.87,54.66,54.76,54.78,54.81,54.86,54.88,54.9,55.09,55.16,55.24 | +| lake | 57.74,57.76,57.77,57.78,57.76,57.82,57.88,57.95,58.08,58.12,58.19 | +| dishwasher | 65.76,65.63,65.82,65.66,65.54,65.63,65.64,65.67,65.61,65.65,65.79 | +| screen | 66.86,66.87,67.12,66.61,66.62,66.13,66.07,65.45,64.91,64.59,64.63 | +| blanket | 18.6,18.5,18.57,18.62,18.54,18.62,18.63,18.69,18.86,18.9,18.87 | +| sculpture | 57.13,57.24,57.19,57.17,57.32,57.1,57.05,57.07,57.09,56.97,56.67 | +| hood | 56.63,56.79,56.74,56.7,56.68,56.52,56.52,56.37,56.54,56.1,55.64 | +| sconce | 43.23,43.23,43.31,43.24,43.25,43.25,43.47,43.48,43.71,43.7,43.95 | +| vase | 37.75,37.74,37.83,37.61,37.63,37.78,37.83,37.85,37.96,37.85,38.04 | +| traffic light | 33.21,33.17,33.33,33.28,33.26,33.34,33.4,33.38,33.44,33.55,33.66 | +| tray | 8.21,8.1,8.02,8.06,8.08,8.15,8.11,8.15,8.29,8.28,8.48 | +| ashcan | 40.59,40.62,40.73,40.62,40.51,40.7,40.56,40.44,40.59,40.73,40.79 | +| fan | 58.12,58.04,58.23,58.15,58.27,58.16,58.17,58.19,58.16,58.06,57.96 | +| pier | 52.13,52.21,53.06,52.3,52.65,53.85,53.98,55.13,56.36,56.68,57.43 | +| crt screen | 10.51,10.47,10.48,10.46,10.46,10.49,10.53,10.5,10.53,10.51,10.49 | +| plate | 52.66,52.54,52.47,52.57,52.6,52.57,52.71,52.8,53.03,53.35,53.41 | +| monitor | 17.38,17.53,17.39,17.4,17.27,17.41,17.27,17.33,17.14,16.91,17.01 | +| bulletin board | 39.44,39.41,39.46,39.83,39.38,39.45,39.79,39.77,39.8,39.85,39.91 | +| shower | 2.18,2.19,2.23,2.25,2.23,2.19,2.24,2.21,2.19,2.2,2.19 | +| radiator | 57.56,57.48,57.17,57.6,57.66,57.92,57.93,58.41,59.06,59.95,60.74 | +| glass | 13.56,13.59,13.49,13.57,13.6,13.58,13.59,13.62,13.66,13.71,13.75 | +| clock | 35.24,35.29,35.11,35.1,35.31,35.35,35.18,35.41,35.41,35.66,35.71 | +| flag | 33.32,33.37,33.33,33.41,33.37,33.38,33.33,33.31,33.31,33.37,33.36 | ++---------------------+-------------------------------------------------------------------+ +2023-03-04 08:38:40,358 - mmseg - INFO - Summary: +2023-03-04 08:38:40,359 - mmseg - INFO - ++------------------------------------------------------------------+ +| mIoU 0,10,20,30,40,50,60,70,80,90,99 | ++------------------------------------------------------------------+ +| 48.88,48.87,48.88,48.89,48.89,48.93,48.95,48.97,49.04,49.08,49.1 | ++------------------------------------------------------------------+ +2023-03-04 08:38:40,392 - mmseg - INFO - The previous best checkpoint /mnt/petrelfs/laizeqiang/mmseg-baseline/work_dirs2/ablation_segformer_mit_b2_segformer_head_unet_fc_small_multi_step_ade_pretrained_freeze_embed_160k_ade20k151_finetune_ema_cos/best_mIoU_iter_96000.pth was removed +2023-03-04 08:38:41,595 - mmseg - INFO - Now best checkpoint is saved as best_mIoU_iter_112000.pth. +2023-03-04 08:38:41,596 - mmseg - INFO - Best mIoU is 0.4910 at 112000 iter. +2023-03-04 08:38:41,596 - mmseg - INFO - Exp name: ablation_segformer_mit_b2_segformer_head_unet_fc_small_multi_step_ade_pretrained_freeze_embed_160k_ade20k151_finetune_ema_cos.py +2023-03-04 08:38:41,596 - mmseg - INFO - Iter(val) [250] mIoU: [0.4888, 0.4887, 0.4888, 0.4889, 0.4889, 0.4893, 0.4895, 0.4897, 0.4904, 0.4908, 0.491], copy_paste: 48.88,48.87,48.88,48.89,48.89,48.93,48.95,48.97,49.04,49.08,49.1 +2023-03-04 08:38:41,603 - mmseg - INFO - Swap parameters (before train) before iter [112001] +2023-03-04 08:38:52,034 - mmseg - INFO - Iter [112050/160000] lr: 4.687e-06, eta: 3:12:13, time: 13.474, data_time: 13.273, memory: 52540, decode.loss_ce: 0.1796, decode.acc_seg: 92.6650, loss: 0.1796 +2023-03-04 08:39:01,818 - mmseg - INFO - Iter [112100/160000] lr: 4.687e-06, eta: 3:12:00, time: 0.196, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1847, decode.acc_seg: 92.4973, loss: 0.1847 +2023-03-04 08:39:11,385 - mmseg - INFO - Iter [112150/160000] lr: 4.687e-06, eta: 3:11:47, time: 0.191, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1812, decode.acc_seg: 92.6435, loss: 0.1812 +2023-03-04 08:39:21,210 - mmseg - INFO - Iter [112200/160000] lr: 4.687e-06, eta: 3:11:34, time: 0.196, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1816, decode.acc_seg: 92.5489, loss: 0.1816 +2023-03-04 08:39:30,980 - mmseg - INFO - Iter [112250/160000] lr: 4.687e-06, eta: 3:11:21, time: 0.195, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1882, decode.acc_seg: 92.3090, loss: 0.1882 +2023-03-04 08:39:40,649 - mmseg - INFO - Iter [112300/160000] lr: 4.687e-06, eta: 3:11:08, time: 0.194, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1956, decode.acc_seg: 92.0435, loss: 0.1956 +2023-03-04 08:39:52,820 - mmseg - INFO - Iter [112350/160000] lr: 4.687e-06, eta: 3:10:56, time: 0.243, data_time: 0.054, memory: 52540, decode.loss_ce: 0.1801, decode.acc_seg: 92.6371, loss: 0.1801 +2023-03-04 08:40:02,633 - mmseg - INFO - Iter [112400/160000] lr: 4.687e-06, eta: 3:10:43, time: 0.196, data_time: 0.006, memory: 52540, decode.loss_ce: 0.1867, decode.acc_seg: 92.4336, loss: 0.1867 +2023-03-04 08:40:12,505 - mmseg - INFO - Iter [112450/160000] lr: 4.687e-06, eta: 3:10:30, time: 0.197, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1846, decode.acc_seg: 92.3297, loss: 0.1846 +2023-03-04 08:40:22,016 - mmseg - INFO - Iter [112500/160000] lr: 4.687e-06, eta: 3:10:17, time: 0.190, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1916, decode.acc_seg: 92.1136, loss: 0.1916 +2023-03-04 08:40:31,807 - mmseg - INFO - Iter [112550/160000] lr: 4.687e-06, eta: 3:10:04, time: 0.196, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1889, decode.acc_seg: 92.2069, loss: 0.1889 +2023-03-04 08:40:41,558 - mmseg - INFO - Iter [112600/160000] lr: 4.687e-06, eta: 3:09:51, time: 0.195, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1843, decode.acc_seg: 92.4150, loss: 0.1843 +2023-03-04 08:40:51,166 - mmseg - INFO - Iter [112650/160000] lr: 4.687e-06, eta: 3:09:38, time: 0.192, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1912, decode.acc_seg: 92.1733, loss: 0.1912 +2023-03-04 08:41:00,767 - mmseg - INFO - Iter [112700/160000] lr: 4.687e-06, eta: 3:09:25, time: 0.192, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1883, decode.acc_seg: 92.4004, loss: 0.1883 +2023-03-04 08:41:10,349 - mmseg - INFO - Iter [112750/160000] lr: 4.687e-06, eta: 3:09:12, time: 0.192, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1829, decode.acc_seg: 92.5192, loss: 0.1829 +2023-03-04 08:41:20,090 - mmseg - INFO - Iter [112800/160000] lr: 4.687e-06, eta: 3:08:59, time: 0.195, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1811, decode.acc_seg: 92.5162, loss: 0.1811 +2023-03-04 08:41:29,601 - mmseg - INFO - Iter [112850/160000] lr: 4.687e-06, eta: 3:08:46, time: 0.190, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1813, decode.acc_seg: 92.5666, loss: 0.1813 +2023-03-04 08:41:39,187 - mmseg - INFO - Iter [112900/160000] lr: 4.687e-06, eta: 3:08:33, time: 0.192, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1898, decode.acc_seg: 92.2385, loss: 0.1898 +2023-03-04 08:41:51,310 - mmseg - INFO - Iter [112950/160000] lr: 4.687e-06, eta: 3:08:21, time: 0.242, data_time: 0.057, memory: 52540, decode.loss_ce: 0.1824, decode.acc_seg: 92.4818, loss: 0.1824 +2023-03-04 08:42:01,071 - mmseg - INFO - Exp name: ablation_segformer_mit_b2_segformer_head_unet_fc_small_multi_step_ade_pretrained_freeze_embed_160k_ade20k151_finetune_ema_cos.py +2023-03-04 08:42:01,071 - mmseg - INFO - Iter [113000/160000] lr: 4.687e-06, eta: 3:08:08, time: 0.195, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1889, decode.acc_seg: 92.2452, loss: 0.1889 +2023-03-04 08:42:10,712 - mmseg - INFO - Iter [113050/160000] lr: 4.687e-06, eta: 3:07:55, time: 0.193, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1888, decode.acc_seg: 92.2613, loss: 0.1888 +2023-03-04 08:42:20,541 - mmseg - INFO - Iter [113100/160000] lr: 4.687e-06, eta: 3:07:42, time: 0.197, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1888, decode.acc_seg: 92.3084, loss: 0.1888 +2023-03-04 08:42:30,361 - mmseg - INFO - Iter [113150/160000] lr: 4.687e-06, eta: 3:07:29, time: 0.196, data_time: 0.006, memory: 52540, decode.loss_ce: 0.1817, decode.acc_seg: 92.5671, loss: 0.1817 +2023-03-04 08:42:40,161 - mmseg - INFO - Iter [113200/160000] lr: 4.687e-06, eta: 3:07:16, time: 0.196, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1816, decode.acc_seg: 92.5415, loss: 0.1816 +2023-03-04 08:42:49,694 - mmseg - INFO - Iter [113250/160000] lr: 4.687e-06, eta: 3:07:03, time: 0.191, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1903, decode.acc_seg: 92.3265, loss: 0.1903 +2023-03-04 08:42:59,548 - mmseg - INFO - Iter [113300/160000] lr: 4.687e-06, eta: 3:06:50, time: 0.197, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1864, decode.acc_seg: 92.3994, loss: 0.1864 +2023-03-04 08:43:09,150 - mmseg - INFO - Iter [113350/160000] lr: 4.687e-06, eta: 3:06:37, time: 0.192, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1847, decode.acc_seg: 92.3060, loss: 0.1847 +2023-03-04 08:43:18,629 - mmseg - INFO - Iter [113400/160000] lr: 4.687e-06, eta: 3:06:24, time: 0.190, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1822, decode.acc_seg: 92.5081, loss: 0.1822 +2023-03-04 08:43:28,398 - mmseg - INFO - Iter [113450/160000] lr: 4.687e-06, eta: 3:06:11, time: 0.195, data_time: 0.006, memory: 52540, decode.loss_ce: 0.1792, decode.acc_seg: 92.5369, loss: 0.1792 +2023-03-04 08:43:37,945 - mmseg - INFO - Iter [113500/160000] lr: 4.687e-06, eta: 3:05:58, time: 0.191, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1809, decode.acc_seg: 92.4912, loss: 0.1809 +2023-03-04 08:43:47,593 - mmseg - INFO - Iter [113550/160000] lr: 4.687e-06, eta: 3:05:46, time: 0.193, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1868, decode.acc_seg: 92.2447, loss: 0.1868 +2023-03-04 08:43:59,747 - mmseg - INFO - Iter [113600/160000] lr: 4.687e-06, eta: 3:05:34, time: 0.243, data_time: 0.056, memory: 52540, decode.loss_ce: 0.1900, decode.acc_seg: 92.1893, loss: 0.1900 +2023-03-04 08:44:09,454 - mmseg - INFO - Iter [113650/160000] lr: 4.687e-06, eta: 3:05:21, time: 0.194, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1833, decode.acc_seg: 92.5760, loss: 0.1833 +2023-03-04 08:44:19,306 - mmseg - INFO - Iter [113700/160000] lr: 4.687e-06, eta: 3:05:08, time: 0.197, data_time: 0.006, memory: 52540, decode.loss_ce: 0.1818, decode.acc_seg: 92.4502, loss: 0.1818 +2023-03-04 08:44:29,046 - mmseg - INFO - Iter [113750/160000] lr: 4.687e-06, eta: 3:04:55, time: 0.195, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1797, decode.acc_seg: 92.4118, loss: 0.1797 +2023-03-04 08:44:38,731 - mmseg - INFO - Iter [113800/160000] lr: 4.687e-06, eta: 3:04:42, time: 0.194, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1845, decode.acc_seg: 92.3685, loss: 0.1845 +2023-03-04 08:44:48,352 - mmseg - INFO - Iter [113850/160000] lr: 4.687e-06, eta: 3:04:29, time: 0.192, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1854, decode.acc_seg: 92.3780, loss: 0.1854 +2023-03-04 08:44:58,185 - mmseg - INFO - Iter [113900/160000] lr: 4.687e-06, eta: 3:04:16, time: 0.197, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1864, decode.acc_seg: 92.4002, loss: 0.1864 +2023-03-04 08:45:07,942 - mmseg - INFO - Iter [113950/160000] lr: 4.687e-06, eta: 3:04:03, time: 0.195, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1875, decode.acc_seg: 92.1976, loss: 0.1875 +2023-03-04 08:45:17,796 - mmseg - INFO - Exp name: ablation_segformer_mit_b2_segformer_head_unet_fc_small_multi_step_ade_pretrained_freeze_embed_160k_ade20k151_finetune_ema_cos.py +2023-03-04 08:45:17,796 - mmseg - INFO - Iter [114000/160000] lr: 4.687e-06, eta: 3:03:50, time: 0.197, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1830, decode.acc_seg: 92.4524, loss: 0.1830 +2023-03-04 08:45:27,347 - mmseg - INFO - Iter [114050/160000] lr: 4.687e-06, eta: 3:03:37, time: 0.191, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1916, decode.acc_seg: 92.1589, loss: 0.1916 +2023-03-04 08:45:36,879 - mmseg - INFO - Iter [114100/160000] lr: 4.687e-06, eta: 3:03:24, time: 0.191, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1836, decode.acc_seg: 92.4912, loss: 0.1836 +2023-03-04 08:45:46,588 - mmseg - INFO - Iter [114150/160000] lr: 4.687e-06, eta: 3:03:12, time: 0.194, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1860, decode.acc_seg: 92.2136, loss: 0.1860 +2023-03-04 08:45:56,272 - mmseg - INFO - Iter [114200/160000] lr: 4.687e-06, eta: 3:02:59, time: 0.194, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1844, decode.acc_seg: 92.4817, loss: 0.1844 +2023-03-04 08:46:08,361 - mmseg - INFO - Iter [114250/160000] lr: 4.687e-06, eta: 3:02:47, time: 0.242, data_time: 0.052, memory: 52540, decode.loss_ce: 0.1848, decode.acc_seg: 92.4621, loss: 0.1848 +2023-03-04 08:46:18,066 - mmseg - INFO - Iter [114300/160000] lr: 4.687e-06, eta: 3:02:34, time: 0.194, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1859, decode.acc_seg: 92.3715, loss: 0.1859 +2023-03-04 08:46:27,734 - mmseg - INFO - Iter [114350/160000] lr: 4.687e-06, eta: 3:02:21, time: 0.194, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1856, decode.acc_seg: 92.3042, loss: 0.1856 +2023-03-04 08:46:37,501 - mmseg - INFO - Iter [114400/160000] lr: 4.687e-06, eta: 3:02:08, time: 0.195, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1849, decode.acc_seg: 92.3551, loss: 0.1849 +2023-03-04 08:46:47,274 - mmseg - INFO - Iter [114450/160000] lr: 4.687e-06, eta: 3:01:55, time: 0.195, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1833, decode.acc_seg: 92.3771, loss: 0.1833 +2023-03-04 08:46:56,906 - mmseg - INFO - Iter [114500/160000] lr: 4.687e-06, eta: 3:01:42, time: 0.192, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1844, decode.acc_seg: 92.4284, loss: 0.1844 +2023-03-04 08:47:06,702 - mmseg - INFO - Iter [114550/160000] lr: 4.687e-06, eta: 3:01:29, time: 0.196, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1876, decode.acc_seg: 92.3223, loss: 0.1876 +2023-03-04 08:47:16,514 - mmseg - INFO - Iter [114600/160000] lr: 4.687e-06, eta: 3:01:17, time: 0.196, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1828, decode.acc_seg: 92.4026, loss: 0.1828 +2023-03-04 08:47:26,108 - mmseg - INFO - Iter [114650/160000] lr: 4.687e-06, eta: 3:01:04, time: 0.192, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1862, decode.acc_seg: 92.3228, loss: 0.1862 +2023-03-04 08:47:35,647 - mmseg - INFO - Iter [114700/160000] lr: 4.687e-06, eta: 3:00:51, time: 0.191, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1811, decode.acc_seg: 92.6285, loss: 0.1811 +2023-03-04 08:47:45,406 - mmseg - INFO - Iter [114750/160000] lr: 4.687e-06, eta: 3:00:38, time: 0.195, data_time: 0.006, memory: 52540, decode.loss_ce: 0.1899, decode.acc_seg: 92.1515, loss: 0.1899 +2023-03-04 08:47:55,228 - mmseg - INFO - Iter [114800/160000] lr: 4.687e-06, eta: 3:00:25, time: 0.196, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1852, decode.acc_seg: 92.3342, loss: 0.1852 +2023-03-04 08:48:07,648 - mmseg - INFO - Iter [114850/160000] lr: 4.687e-06, eta: 3:00:13, time: 0.248, data_time: 0.055, memory: 52540, decode.loss_ce: 0.1846, decode.acc_seg: 92.5113, loss: 0.1846 +2023-03-04 08:48:17,202 - mmseg - INFO - Iter [114900/160000] lr: 4.687e-06, eta: 3:00:00, time: 0.191, data_time: 0.006, memory: 52540, decode.loss_ce: 0.1834, decode.acc_seg: 92.5352, loss: 0.1834 +2023-03-04 08:48:26,831 - mmseg - INFO - Iter [114950/160000] lr: 4.687e-06, eta: 2:59:47, time: 0.193, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1827, decode.acc_seg: 92.4291, loss: 0.1827 +2023-03-04 08:48:36,324 - mmseg - INFO - Exp name: ablation_segformer_mit_b2_segformer_head_unet_fc_small_multi_step_ade_pretrained_freeze_embed_160k_ade20k151_finetune_ema_cos.py +2023-03-04 08:48:36,324 - mmseg - INFO - Iter [115000/160000] lr: 4.687e-06, eta: 2:59:34, time: 0.190, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1850, decode.acc_seg: 92.2531, loss: 0.1850 +2023-03-04 08:48:45,839 - mmseg - INFO - Iter [115050/160000] lr: 4.687e-06, eta: 2:59:21, time: 0.190, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1843, decode.acc_seg: 92.4036, loss: 0.1843 +2023-03-04 08:48:55,509 - mmseg - INFO - Iter [115100/160000] lr: 4.687e-06, eta: 2:59:09, time: 0.193, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1871, decode.acc_seg: 92.2576, loss: 0.1871 +2023-03-04 08:49:05,200 - mmseg - INFO - Iter [115150/160000] lr: 4.687e-06, eta: 2:58:56, time: 0.194, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1878, decode.acc_seg: 92.3094, loss: 0.1878 +2023-03-04 08:49:14,850 - mmseg - INFO - Iter [115200/160000] lr: 4.687e-06, eta: 2:58:43, time: 0.193, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1826, decode.acc_seg: 92.3536, loss: 0.1826 +2023-03-04 08:49:24,488 - mmseg - INFO - Iter [115250/160000] lr: 4.687e-06, eta: 2:58:30, time: 0.193, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1882, decode.acc_seg: 92.3345, loss: 0.1882 +2023-03-04 08:49:34,156 - mmseg - INFO - Iter [115300/160000] lr: 4.687e-06, eta: 2:58:17, time: 0.193, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1909, decode.acc_seg: 92.2218, loss: 0.1909 +2023-03-04 08:49:43,718 - mmseg - INFO - Iter [115350/160000] lr: 4.687e-06, eta: 2:58:04, time: 0.191, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1835, decode.acc_seg: 92.4835, loss: 0.1835 +2023-03-04 08:49:53,477 - mmseg - INFO - Iter [115400/160000] lr: 4.687e-06, eta: 2:57:51, time: 0.195, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1860, decode.acc_seg: 92.2395, loss: 0.1860 +2023-03-04 08:50:03,444 - mmseg - INFO - Iter [115450/160000] lr: 4.687e-06, eta: 2:57:39, time: 0.199, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1922, decode.acc_seg: 92.1663, loss: 0.1922 +2023-03-04 08:50:15,525 - mmseg - INFO - Iter [115500/160000] lr: 4.687e-06, eta: 2:57:27, time: 0.242, data_time: 0.056, memory: 52540, decode.loss_ce: 0.1857, decode.acc_seg: 92.4113, loss: 0.1857 +2023-03-04 08:50:25,220 - mmseg - INFO - Iter [115550/160000] lr: 4.687e-06, eta: 2:57:14, time: 0.194, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1873, decode.acc_seg: 92.2714, loss: 0.1873 +2023-03-04 08:50:35,132 - mmseg - INFO - Iter [115600/160000] lr: 4.687e-06, eta: 2:57:01, time: 0.198, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1826, decode.acc_seg: 92.5604, loss: 0.1826 +2023-03-04 08:50:44,836 - mmseg - INFO - Iter [115650/160000] lr: 4.687e-06, eta: 2:56:48, time: 0.194, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1889, decode.acc_seg: 92.3292, loss: 0.1889 +2023-03-04 08:50:54,460 - mmseg - INFO - Iter [115700/160000] lr: 4.687e-06, eta: 2:56:36, time: 0.192, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1830, decode.acc_seg: 92.4310, loss: 0.1830 +2023-03-04 08:51:04,141 - mmseg - INFO - Iter [115750/160000] lr: 4.687e-06, eta: 2:56:23, time: 0.194, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1832, decode.acc_seg: 92.4158, loss: 0.1832 +2023-03-04 08:51:13,864 - mmseg - INFO - Iter [115800/160000] lr: 4.687e-06, eta: 2:56:10, time: 0.194, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1778, decode.acc_seg: 92.6486, loss: 0.1778 +2023-03-04 08:51:23,610 - mmseg - INFO - Iter [115850/160000] lr: 4.687e-06, eta: 2:55:57, time: 0.195, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1893, decode.acc_seg: 92.2734, loss: 0.1893 +2023-03-04 08:51:33,265 - mmseg - INFO - Iter [115900/160000] lr: 4.687e-06, eta: 2:55:44, time: 0.193, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1879, decode.acc_seg: 92.2384, loss: 0.1879 +2023-03-04 08:51:43,258 - mmseg - INFO - Iter [115950/160000] lr: 4.687e-06, eta: 2:55:32, time: 0.200, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1816, decode.acc_seg: 92.4644, loss: 0.1816 +2023-03-04 08:51:52,863 - mmseg - INFO - Exp name: ablation_segformer_mit_b2_segformer_head_unet_fc_small_multi_step_ade_pretrained_freeze_embed_160k_ade20k151_finetune_ema_cos.py +2023-03-04 08:51:52,863 - mmseg - INFO - Iter [116000/160000] lr: 4.687e-06, eta: 2:55:19, time: 0.192, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1914, decode.acc_seg: 92.2777, loss: 0.1914 +2023-03-04 08:52:02,817 - mmseg - INFO - Iter [116050/160000] lr: 4.687e-06, eta: 2:55:06, time: 0.199, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1786, decode.acc_seg: 92.6818, loss: 0.1786 +2023-03-04 08:52:12,531 - mmseg - INFO - Iter [116100/160000] lr: 4.687e-06, eta: 2:54:53, time: 0.194, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1814, decode.acc_seg: 92.4362, loss: 0.1814 +2023-03-04 08:52:24,679 - mmseg - INFO - Iter [116150/160000] lr: 4.687e-06, eta: 2:54:41, time: 0.243, data_time: 0.052, memory: 52540, decode.loss_ce: 0.1909, decode.acc_seg: 92.2184, loss: 0.1909 +2023-03-04 08:52:34,504 - mmseg - INFO - Iter [116200/160000] lr: 4.687e-06, eta: 2:54:29, time: 0.196, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1843, decode.acc_seg: 92.4729, loss: 0.1843 +2023-03-04 08:52:44,283 - mmseg - INFO - Iter [116250/160000] lr: 4.687e-06, eta: 2:54:16, time: 0.196, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1869, decode.acc_seg: 92.2663, loss: 0.1869 +2023-03-04 08:52:54,244 - mmseg - INFO - Iter [116300/160000] lr: 4.687e-06, eta: 2:54:03, time: 0.199, data_time: 0.006, memory: 52540, decode.loss_ce: 0.1871, decode.acc_seg: 92.4755, loss: 0.1871 +2023-03-04 08:53:03,816 - mmseg - INFO - Iter [116350/160000] lr: 4.687e-06, eta: 2:53:50, time: 0.191, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1865, decode.acc_seg: 92.3016, loss: 0.1865 +2023-03-04 08:53:13,472 - mmseg - INFO - Iter [116400/160000] lr: 4.687e-06, eta: 2:53:37, time: 0.193, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1873, decode.acc_seg: 92.2636, loss: 0.1873 +2023-03-04 08:53:23,048 - mmseg - INFO - Iter [116450/160000] lr: 4.687e-06, eta: 2:53:25, time: 0.191, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1891, decode.acc_seg: 92.3632, loss: 0.1891 +2023-03-04 08:53:32,878 - mmseg - INFO - Iter [116500/160000] lr: 4.687e-06, eta: 2:53:12, time: 0.197, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1804, decode.acc_seg: 92.4156, loss: 0.1804 +2023-03-04 08:53:42,638 - mmseg - INFO - Iter [116550/160000] lr: 4.687e-06, eta: 2:52:59, time: 0.195, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1845, decode.acc_seg: 92.2656, loss: 0.1845 +2023-03-04 08:53:52,227 - mmseg - INFO - Iter [116600/160000] lr: 4.687e-06, eta: 2:52:46, time: 0.192, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1969, decode.acc_seg: 91.9902, loss: 0.1969 +2023-03-04 08:54:01,969 - mmseg - INFO - Iter [116650/160000] lr: 4.687e-06, eta: 2:52:34, time: 0.195, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1906, decode.acc_seg: 92.2281, loss: 0.1906 +2023-03-04 08:54:11,760 - mmseg - INFO - Iter [116700/160000] lr: 4.687e-06, eta: 2:52:21, time: 0.196, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1749, decode.acc_seg: 92.6646, loss: 0.1749 +2023-03-04 08:54:23,817 - mmseg - INFO - Iter [116750/160000] lr: 4.687e-06, eta: 2:52:09, time: 0.241, data_time: 0.056, memory: 52540, decode.loss_ce: 0.1825, decode.acc_seg: 92.5135, loss: 0.1825 +2023-03-04 08:54:33,596 - mmseg - INFO - Iter [116800/160000] lr: 4.687e-06, eta: 2:51:56, time: 0.196, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1780, decode.acc_seg: 92.4895, loss: 0.1780 +2023-03-04 08:54:43,374 - mmseg - INFO - Iter [116850/160000] lr: 4.687e-06, eta: 2:51:43, time: 0.196, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1894, decode.acc_seg: 92.2311, loss: 0.1894 +2023-03-04 08:54:52,983 - mmseg - INFO - Iter [116900/160000] lr: 4.687e-06, eta: 2:51:31, time: 0.192, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1824, decode.acc_seg: 92.5056, loss: 0.1824 +2023-03-04 08:55:02,589 - mmseg - INFO - Iter [116950/160000] lr: 4.687e-06, eta: 2:51:18, time: 0.192, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1847, decode.acc_seg: 92.5449, loss: 0.1847 +2023-03-04 08:55:12,303 - mmseg - INFO - Exp name: ablation_segformer_mit_b2_segformer_head_unet_fc_small_multi_step_ade_pretrained_freeze_embed_160k_ade20k151_finetune_ema_cos.py +2023-03-04 08:55:12,303 - mmseg - INFO - Iter [117000/160000] lr: 4.687e-06, eta: 2:51:05, time: 0.194, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1957, decode.acc_seg: 91.9894, loss: 0.1957 +2023-03-04 08:55:21,992 - mmseg - INFO - Iter [117050/160000] lr: 4.687e-06, eta: 2:50:52, time: 0.194, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1841, decode.acc_seg: 92.3769, loss: 0.1841 +2023-03-04 08:55:31,723 - mmseg - INFO - Iter [117100/160000] lr: 4.687e-06, eta: 2:50:40, time: 0.195, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1820, decode.acc_seg: 92.3221, loss: 0.1820 +2023-03-04 08:55:41,527 - mmseg - INFO - Iter [117150/160000] lr: 4.687e-06, eta: 2:50:27, time: 0.196, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1789, decode.acc_seg: 92.6231, loss: 0.1789 +2023-03-04 08:55:51,301 - mmseg - INFO - Iter [117200/160000] lr: 4.687e-06, eta: 2:50:14, time: 0.195, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1812, decode.acc_seg: 92.4412, loss: 0.1812 +2023-03-04 08:56:01,201 - mmseg - INFO - Iter [117250/160000] lr: 4.687e-06, eta: 2:50:01, time: 0.198, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1820, decode.acc_seg: 92.4519, loss: 0.1820 +2023-03-04 08:56:10,767 - mmseg - INFO - Iter [117300/160000] lr: 4.687e-06, eta: 2:49:49, time: 0.191, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1887, decode.acc_seg: 92.4008, loss: 0.1887 +2023-03-04 08:56:20,447 - mmseg - INFO - Iter [117350/160000] lr: 4.687e-06, eta: 2:49:36, time: 0.194, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1869, decode.acc_seg: 92.2059, loss: 0.1869 +2023-03-04 08:56:32,506 - mmseg - INFO - Iter [117400/160000] lr: 4.687e-06, eta: 2:49:24, time: 0.241, data_time: 0.054, memory: 52540, decode.loss_ce: 0.1805, decode.acc_seg: 92.5483, loss: 0.1805 +2023-03-04 08:56:42,300 - mmseg - INFO - Iter [117450/160000] lr: 4.687e-06, eta: 2:49:11, time: 0.196, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1807, decode.acc_seg: 92.6918, loss: 0.1807 +2023-03-04 08:56:51,813 - mmseg - INFO - Iter [117500/160000] lr: 4.687e-06, eta: 2:48:59, time: 0.190, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1848, decode.acc_seg: 92.3531, loss: 0.1848 +2023-03-04 08:57:01,377 - mmseg - INFO - Iter [117550/160000] lr: 4.687e-06, eta: 2:48:46, time: 0.191, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1849, decode.acc_seg: 92.4265, loss: 0.1849 +2023-03-04 08:57:11,049 - mmseg - INFO - Iter [117600/160000] lr: 4.687e-06, eta: 2:48:33, time: 0.193, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1795, decode.acc_seg: 92.5147, loss: 0.1795 +2023-03-04 08:57:20,565 - mmseg - INFO - Iter [117650/160000] lr: 4.687e-06, eta: 2:48:20, time: 0.190, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1954, decode.acc_seg: 92.1221, loss: 0.1954 +2023-03-04 08:57:30,298 - mmseg - INFO - Iter [117700/160000] lr: 4.687e-06, eta: 2:48:07, time: 0.195, data_time: 0.006, memory: 52540, decode.loss_ce: 0.1822, decode.acc_seg: 92.4435, loss: 0.1822 +2023-03-04 08:57:39,920 - mmseg - INFO - Iter [117750/160000] lr: 4.687e-06, eta: 2:47:55, time: 0.192, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1868, decode.acc_seg: 92.4169, loss: 0.1868 +2023-03-04 08:57:49,459 - mmseg - INFO - Iter [117800/160000] lr: 4.687e-06, eta: 2:47:42, time: 0.191, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1781, decode.acc_seg: 92.5181, loss: 0.1781 +2023-03-04 08:57:59,381 - mmseg - INFO - Iter [117850/160000] lr: 4.687e-06, eta: 2:47:29, time: 0.198, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1822, decode.acc_seg: 92.4396, loss: 0.1822 +2023-03-04 08:58:08,979 - mmseg - INFO - Iter [117900/160000] lr: 4.687e-06, eta: 2:47:17, time: 0.192, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1893, decode.acc_seg: 92.3834, loss: 0.1893 +2023-03-04 08:58:18,651 - mmseg - INFO - Iter [117950/160000] lr: 4.687e-06, eta: 2:47:04, time: 0.193, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1865, decode.acc_seg: 92.3230, loss: 0.1865 +2023-03-04 08:58:30,924 - mmseg - INFO - Exp name: ablation_segformer_mit_b2_segformer_head_unet_fc_small_multi_step_ade_pretrained_freeze_embed_160k_ade20k151_finetune_ema_cos.py +2023-03-04 08:58:30,924 - mmseg - INFO - Iter [118000/160000] lr: 4.687e-06, eta: 2:46:52, time: 0.245, data_time: 0.055, memory: 52540, decode.loss_ce: 0.1886, decode.acc_seg: 92.2693, loss: 0.1886 +2023-03-04 08:58:40,572 - mmseg - INFO - Iter [118050/160000] lr: 4.687e-06, eta: 2:46:39, time: 0.193, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1854, decode.acc_seg: 92.3755, loss: 0.1854 +2023-03-04 08:58:50,261 - mmseg - INFO - Iter [118100/160000] lr: 4.687e-06, eta: 2:46:27, time: 0.194, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1827, decode.acc_seg: 92.4876, loss: 0.1827 +2023-03-04 08:59:00,349 - mmseg - INFO - Iter [118150/160000] lr: 4.687e-06, eta: 2:46:14, time: 0.202, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1877, decode.acc_seg: 92.1821, loss: 0.1877 +2023-03-04 08:59:10,051 - mmseg - INFO - Iter [118200/160000] lr: 4.687e-06, eta: 2:46:01, time: 0.194, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1831, decode.acc_seg: 92.5995, loss: 0.1831 +2023-03-04 08:59:20,186 - mmseg - INFO - Iter [118250/160000] lr: 4.687e-06, eta: 2:45:49, time: 0.203, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1843, decode.acc_seg: 92.4027, loss: 0.1843 +2023-03-04 08:59:29,848 - mmseg - INFO - Iter [118300/160000] lr: 4.687e-06, eta: 2:45:36, time: 0.193, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1894, decode.acc_seg: 92.2961, loss: 0.1894 +2023-03-04 08:59:39,458 - mmseg - INFO - Iter [118350/160000] lr: 4.687e-06, eta: 2:45:23, time: 0.192, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1820, decode.acc_seg: 92.4054, loss: 0.1820 +2023-03-04 08:59:49,093 - mmseg - INFO - Iter [118400/160000] lr: 4.687e-06, eta: 2:45:11, time: 0.193, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1879, decode.acc_seg: 92.3964, loss: 0.1879 +2023-03-04 08:59:58,756 - mmseg - INFO - Iter [118450/160000] lr: 4.687e-06, eta: 2:44:58, time: 0.193, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1881, decode.acc_seg: 92.2851, loss: 0.1881 +2023-03-04 09:00:08,361 - mmseg - INFO - Iter [118500/160000] lr: 4.687e-06, eta: 2:44:45, time: 0.192, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1820, decode.acc_seg: 92.4417, loss: 0.1820 +2023-03-04 09:00:18,188 - mmseg - INFO - Iter [118550/160000] lr: 4.687e-06, eta: 2:44:33, time: 0.197, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1926, decode.acc_seg: 92.0391, loss: 0.1926 +2023-03-04 09:00:27,780 - mmseg - INFO - Iter [118600/160000] lr: 4.687e-06, eta: 2:44:20, time: 0.192, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1906, decode.acc_seg: 92.1064, loss: 0.1906 +2023-03-04 09:00:39,839 - mmseg - INFO - Iter [118650/160000] lr: 4.687e-06, eta: 2:44:08, time: 0.241, data_time: 0.056, memory: 52540, decode.loss_ce: 0.1836, decode.acc_seg: 92.3600, loss: 0.1836 +2023-03-04 09:00:49,399 - mmseg - INFO - Iter [118700/160000] lr: 4.687e-06, eta: 2:43:55, time: 0.191, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1942, decode.acc_seg: 92.0309, loss: 0.1942 +2023-03-04 09:00:58,937 - mmseg - INFO - Iter [118750/160000] lr: 4.687e-06, eta: 2:43:43, time: 0.191, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1830, decode.acc_seg: 92.3588, loss: 0.1830 +2023-03-04 09:01:08,486 - mmseg - INFO - Iter [118800/160000] lr: 4.687e-06, eta: 2:43:30, time: 0.191, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1841, decode.acc_seg: 92.3583, loss: 0.1841 +2023-03-04 09:01:18,822 - mmseg - INFO - Iter [118850/160000] lr: 4.687e-06, eta: 2:43:17, time: 0.207, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1822, decode.acc_seg: 92.4750, loss: 0.1822 +2023-03-04 09:01:28,606 - mmseg - INFO - Iter [118900/160000] lr: 4.687e-06, eta: 2:43:05, time: 0.196, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1813, decode.acc_seg: 92.5786, loss: 0.1813 +2023-03-04 09:01:38,101 - mmseg - INFO - Iter [118950/160000] lr: 4.687e-06, eta: 2:42:52, time: 0.190, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1822, decode.acc_seg: 92.6001, loss: 0.1822 +2023-03-04 09:01:47,771 - mmseg - INFO - Exp name: ablation_segformer_mit_b2_segformer_head_unet_fc_small_multi_step_ade_pretrained_freeze_embed_160k_ade20k151_finetune_ema_cos.py +2023-03-04 09:01:47,771 - mmseg - INFO - Iter [119000/160000] lr: 4.687e-06, eta: 2:42:39, time: 0.193, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1832, decode.acc_seg: 92.5376, loss: 0.1832 +2023-03-04 09:01:57,404 - mmseg - INFO - Iter [119050/160000] lr: 4.687e-06, eta: 2:42:27, time: 0.193, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1907, decode.acc_seg: 92.2994, loss: 0.1907 +2023-03-04 09:02:06,955 - mmseg - INFO - Iter [119100/160000] lr: 4.687e-06, eta: 2:42:14, time: 0.191, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1812, decode.acc_seg: 92.4822, loss: 0.1812 +2023-03-04 09:02:16,530 - mmseg - INFO - Iter [119150/160000] lr: 4.687e-06, eta: 2:42:01, time: 0.191, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1916, decode.acc_seg: 92.1690, loss: 0.1916 +2023-03-04 09:02:26,472 - mmseg - INFO - Iter [119200/160000] lr: 4.687e-06, eta: 2:41:49, time: 0.199, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1842, decode.acc_seg: 92.3376, loss: 0.1842 +2023-03-04 09:02:36,007 - mmseg - INFO - Iter [119250/160000] lr: 4.687e-06, eta: 2:41:36, time: 0.191, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1880, decode.acc_seg: 92.2047, loss: 0.1880 +2023-03-04 09:02:48,056 - mmseg - INFO - Iter [119300/160000] lr: 4.687e-06, eta: 2:41:24, time: 0.241, data_time: 0.055, memory: 52540, decode.loss_ce: 0.1831, decode.acc_seg: 92.4323, loss: 0.1831 +2023-03-04 09:02:57,808 - mmseg - INFO - Iter [119350/160000] lr: 4.687e-06, eta: 2:41:11, time: 0.195, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1870, decode.acc_seg: 92.2594, loss: 0.1870 +2023-03-04 09:03:07,548 - mmseg - INFO - Iter [119400/160000] lr: 4.687e-06, eta: 2:40:59, time: 0.195, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1839, decode.acc_seg: 92.4735, loss: 0.1839 +2023-03-04 09:03:17,417 - mmseg - INFO - Iter [119450/160000] lr: 4.687e-06, eta: 2:40:46, time: 0.197, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1858, decode.acc_seg: 92.3587, loss: 0.1858 +2023-03-04 09:03:27,485 - mmseg - INFO - Iter [119500/160000] lr: 4.687e-06, eta: 2:40:34, time: 0.201, data_time: 0.006, memory: 52540, decode.loss_ce: 0.1890, decode.acc_seg: 92.3220, loss: 0.1890 +2023-03-04 09:03:37,438 - mmseg - INFO - Iter [119550/160000] lr: 4.687e-06, eta: 2:40:21, time: 0.199, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1820, decode.acc_seg: 92.3582, loss: 0.1820 +2023-03-04 09:03:47,050 - mmseg - INFO - Iter [119600/160000] lr: 4.687e-06, eta: 2:40:09, time: 0.192, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1926, decode.acc_seg: 92.2065, loss: 0.1926 +2023-03-04 09:03:57,190 - mmseg - INFO - Iter [119650/160000] lr: 4.687e-06, eta: 2:39:56, time: 0.203, data_time: 0.008, memory: 52540, decode.loss_ce: 0.1861, decode.acc_seg: 92.2879, loss: 0.1861 +2023-03-04 09:04:06,816 - mmseg - INFO - Iter [119700/160000] lr: 4.687e-06, eta: 2:39:43, time: 0.193, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1798, decode.acc_seg: 92.7097, loss: 0.1798 +2023-03-04 09:04:16,401 - mmseg - INFO - Iter [119750/160000] lr: 4.687e-06, eta: 2:39:31, time: 0.192, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1770, decode.acc_seg: 92.6745, loss: 0.1770 +2023-03-04 09:04:26,190 - mmseg - INFO - Iter [119800/160000] lr: 4.687e-06, eta: 2:39:18, time: 0.196, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1877, decode.acc_seg: 92.3124, loss: 0.1877 +2023-03-04 09:04:35,834 - mmseg - INFO - Iter [119850/160000] lr: 4.687e-06, eta: 2:39:06, time: 0.193, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1925, decode.acc_seg: 92.1263, loss: 0.1925 +2023-03-04 09:04:48,125 - mmseg - INFO - Iter [119900/160000] lr: 4.687e-06, eta: 2:38:54, time: 0.246, data_time: 0.056, memory: 52540, decode.loss_ce: 0.1779, decode.acc_seg: 92.5668, loss: 0.1779 +2023-03-04 09:04:57,691 - mmseg - INFO - Iter [119950/160000] lr: 4.687e-06, eta: 2:38:41, time: 0.191, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1824, decode.acc_seg: 92.5664, loss: 0.1824 +2023-03-04 09:05:07,349 - mmseg - INFO - Exp name: ablation_segformer_mit_b2_segformer_head_unet_fc_small_multi_step_ade_pretrained_freeze_embed_160k_ade20k151_finetune_ema_cos.py +2023-03-04 09:05:07,349 - mmseg - INFO - Iter [120000/160000] lr: 4.687e-06, eta: 2:38:28, time: 0.193, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1844, decode.acc_seg: 92.3584, loss: 0.1844 +2023-03-04 09:05:16,857 - mmseg - INFO - Iter [120050/160000] lr: 2.344e-06, eta: 2:38:16, time: 0.190, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1840, decode.acc_seg: 92.4608, loss: 0.1840 +2023-03-04 09:05:26,507 - mmseg - INFO - Iter [120100/160000] lr: 2.344e-06, eta: 2:38:03, time: 0.193, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1814, decode.acc_seg: 92.4238, loss: 0.1814 +2023-03-04 09:05:36,117 - mmseg - INFO - Iter [120150/160000] lr: 2.344e-06, eta: 2:37:51, time: 0.192, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1860, decode.acc_seg: 92.3807, loss: 0.1860 +2023-03-04 09:05:45,725 - mmseg - INFO - Iter [120200/160000] lr: 2.344e-06, eta: 2:37:38, time: 0.192, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1851, decode.acc_seg: 92.4804, loss: 0.1851 +2023-03-04 09:05:55,304 - mmseg - INFO - Iter [120250/160000] lr: 2.344e-06, eta: 2:37:25, time: 0.192, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1878, decode.acc_seg: 92.4088, loss: 0.1878 +2023-03-04 09:06:04,968 - mmseg - INFO - Iter [120300/160000] lr: 2.344e-06, eta: 2:37:13, time: 0.193, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1836, decode.acc_seg: 92.4235, loss: 0.1836 +2023-03-04 09:06:14,645 - mmseg - INFO - Iter [120350/160000] lr: 2.344e-06, eta: 2:37:00, time: 0.194, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1830, decode.acc_seg: 92.4099, loss: 0.1830 +2023-03-04 09:06:24,182 - mmseg - INFO - Iter [120400/160000] lr: 2.344e-06, eta: 2:36:47, time: 0.191, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1806, decode.acc_seg: 92.4926, loss: 0.1806 +2023-03-04 09:06:33,824 - mmseg - INFO - Iter [120450/160000] lr: 2.344e-06, eta: 2:36:35, time: 0.193, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1893, decode.acc_seg: 92.1988, loss: 0.1893 +2023-03-04 09:06:43,423 - mmseg - INFO - Iter [120500/160000] lr: 2.344e-06, eta: 2:36:22, time: 0.192, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1862, decode.acc_seg: 92.4059, loss: 0.1862 +2023-03-04 09:06:55,482 - mmseg - INFO - Iter [120550/160000] lr: 2.344e-06, eta: 2:36:10, time: 0.241, data_time: 0.054, memory: 52540, decode.loss_ce: 0.1865, decode.acc_seg: 92.3758, loss: 0.1865 +2023-03-04 09:07:05,177 - mmseg - INFO - Iter [120600/160000] lr: 2.344e-06, eta: 2:35:58, time: 0.194, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1924, decode.acc_seg: 92.1484, loss: 0.1924 +2023-03-04 09:07:15,179 - mmseg - INFO - Iter [120650/160000] lr: 2.344e-06, eta: 2:35:45, time: 0.200, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1871, decode.acc_seg: 92.2992, loss: 0.1871 +2023-03-04 09:07:24,951 - mmseg - INFO - Iter [120700/160000] lr: 2.344e-06, eta: 2:35:33, time: 0.195, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1842, decode.acc_seg: 92.3315, loss: 0.1842 +2023-03-04 09:07:34,662 - mmseg - INFO - Iter [120750/160000] lr: 2.344e-06, eta: 2:35:20, time: 0.194, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1795, decode.acc_seg: 92.6438, loss: 0.1795 +2023-03-04 09:07:44,263 - mmseg - INFO - Iter [120800/160000] lr: 2.344e-06, eta: 2:35:07, time: 0.192, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1797, decode.acc_seg: 92.5977, loss: 0.1797 +2023-03-04 09:07:53,955 - mmseg - INFO - Iter [120850/160000] lr: 2.344e-06, eta: 2:34:55, time: 0.194, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1813, decode.acc_seg: 92.5934, loss: 0.1813 +2023-03-04 09:08:03,830 - mmseg - INFO - Iter [120900/160000] lr: 2.344e-06, eta: 2:34:42, time: 0.198, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1870, decode.acc_seg: 92.3399, loss: 0.1870 +2023-03-04 09:08:13,311 - mmseg - INFO - Iter [120950/160000] lr: 2.344e-06, eta: 2:34:30, time: 0.190, data_time: 0.006, memory: 52540, decode.loss_ce: 0.1839, decode.acc_seg: 92.4650, loss: 0.1839 +2023-03-04 09:08:22,914 - mmseg - INFO - Exp name: ablation_segformer_mit_b2_segformer_head_unet_fc_small_multi_step_ade_pretrained_freeze_embed_160k_ade20k151_finetune_ema_cos.py +2023-03-04 09:08:22,914 - mmseg - INFO - Iter [121000/160000] lr: 2.344e-06, eta: 2:34:17, time: 0.192, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1816, decode.acc_seg: 92.5067, loss: 0.1816 +2023-03-04 09:08:32,415 - mmseg - INFO - Iter [121050/160000] lr: 2.344e-06, eta: 2:34:05, time: 0.190, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1863, decode.acc_seg: 92.3724, loss: 0.1863 +2023-03-04 09:08:42,034 - mmseg - INFO - Iter [121100/160000] lr: 2.344e-06, eta: 2:33:52, time: 0.192, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1930, decode.acc_seg: 92.0988, loss: 0.1930 +2023-03-04 09:08:51,559 - mmseg - INFO - Iter [121150/160000] lr: 2.344e-06, eta: 2:33:39, time: 0.190, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1772, decode.acc_seg: 92.7231, loss: 0.1772 +2023-03-04 09:09:03,791 - mmseg - INFO - Iter [121200/160000] lr: 2.344e-06, eta: 2:33:28, time: 0.244, data_time: 0.055, memory: 52540, decode.loss_ce: 0.1806, decode.acc_seg: 92.5420, loss: 0.1806 +2023-03-04 09:09:13,466 - mmseg - INFO - Iter [121250/160000] lr: 2.344e-06, eta: 2:33:15, time: 0.194, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1799, decode.acc_seg: 92.6328, loss: 0.1799 +2023-03-04 09:09:22,972 - mmseg - INFO - Iter [121300/160000] lr: 2.344e-06, eta: 2:33:02, time: 0.190, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1832, decode.acc_seg: 92.4145, loss: 0.1832 +2023-03-04 09:09:32,606 - mmseg - INFO - Iter [121350/160000] lr: 2.344e-06, eta: 2:32:50, time: 0.192, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1870, decode.acc_seg: 92.1837, loss: 0.1870 +2023-03-04 09:09:42,178 - mmseg - INFO - Iter [121400/160000] lr: 2.344e-06, eta: 2:32:37, time: 0.192, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1857, decode.acc_seg: 92.3325, loss: 0.1857 +2023-03-04 09:09:51,845 - mmseg - INFO - Iter [121450/160000] lr: 2.344e-06, eta: 2:32:25, time: 0.193, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1883, decode.acc_seg: 92.4085, loss: 0.1883 +2023-03-04 09:10:01,408 - mmseg - INFO - Iter [121500/160000] lr: 2.344e-06, eta: 2:32:12, time: 0.191, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1814, decode.acc_seg: 92.5127, loss: 0.1814 +2023-03-04 09:10:10,953 - mmseg - INFO - Iter [121550/160000] lr: 2.344e-06, eta: 2:31:59, time: 0.191, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1842, decode.acc_seg: 92.4599, loss: 0.1842 +2023-03-04 09:10:20,665 - mmseg - INFO - Iter [121600/160000] lr: 2.344e-06, eta: 2:31:47, time: 0.194, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1883, decode.acc_seg: 92.1885, loss: 0.1883 +2023-03-04 09:10:30,279 - mmseg - INFO - Iter [121650/160000] lr: 2.344e-06, eta: 2:31:34, time: 0.192, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1807, decode.acc_seg: 92.5487, loss: 0.1807 +2023-03-04 09:10:39,835 - mmseg - INFO - Iter [121700/160000] lr: 2.344e-06, eta: 2:31:22, time: 0.191, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1738, decode.acc_seg: 92.7839, loss: 0.1738 +2023-03-04 09:10:49,371 - mmseg - INFO - Iter [121750/160000] lr: 2.344e-06, eta: 2:31:09, time: 0.191, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1859, decode.acc_seg: 92.3650, loss: 0.1859 +2023-03-04 09:11:01,444 - mmseg - INFO - Iter [121800/160000] lr: 2.344e-06, eta: 2:30:57, time: 0.241, data_time: 0.054, memory: 52540, decode.loss_ce: 0.1801, decode.acc_seg: 92.5594, loss: 0.1801 +2023-03-04 09:11:11,150 - mmseg - INFO - Iter [121850/160000] lr: 2.344e-06, eta: 2:30:45, time: 0.194, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1879, decode.acc_seg: 92.3244, loss: 0.1879 +2023-03-04 09:11:20,823 - mmseg - INFO - Iter [121900/160000] lr: 2.344e-06, eta: 2:30:32, time: 0.193, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1814, decode.acc_seg: 92.4432, loss: 0.1814 +2023-03-04 09:11:30,467 - mmseg - INFO - Iter [121950/160000] lr: 2.344e-06, eta: 2:30:20, time: 0.193, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1874, decode.acc_seg: 92.3773, loss: 0.1874 +2023-03-04 09:11:40,192 - mmseg - INFO - Exp name: ablation_segformer_mit_b2_segformer_head_unet_fc_small_multi_step_ade_pretrained_freeze_embed_160k_ade20k151_finetune_ema_cos.py +2023-03-04 09:11:40,192 - mmseg - INFO - Iter [122000/160000] lr: 2.344e-06, eta: 2:30:07, time: 0.194, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1832, decode.acc_seg: 92.4057, loss: 0.1832 +2023-03-04 09:11:50,109 - mmseg - INFO - Iter [122050/160000] lr: 2.344e-06, eta: 2:29:55, time: 0.198, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1795, decode.acc_seg: 92.5562, loss: 0.1795 +2023-03-04 09:11:59,735 - mmseg - INFO - Iter [122100/160000] lr: 2.344e-06, eta: 2:29:42, time: 0.193, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1799, decode.acc_seg: 92.5528, loss: 0.1799 +2023-03-04 09:12:09,266 - mmseg - INFO - Iter [122150/160000] lr: 2.344e-06, eta: 2:29:30, time: 0.191, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1747, decode.acc_seg: 92.7087, loss: 0.1747 +2023-03-04 09:12:19,009 - mmseg - INFO - Iter [122200/160000] lr: 2.344e-06, eta: 2:29:17, time: 0.195, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1834, decode.acc_seg: 92.4489, loss: 0.1834 +2023-03-04 09:12:28,916 - mmseg - INFO - Iter [122250/160000] lr: 2.344e-06, eta: 2:29:05, time: 0.198, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1847, decode.acc_seg: 92.4614, loss: 0.1847 +2023-03-04 09:12:38,422 - mmseg - INFO - Iter [122300/160000] lr: 2.344e-06, eta: 2:28:52, time: 0.190, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1903, decode.acc_seg: 92.2315, loss: 0.1903 +2023-03-04 09:12:48,015 - mmseg - INFO - Iter [122350/160000] lr: 2.344e-06, eta: 2:28:40, time: 0.192, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1818, decode.acc_seg: 92.5743, loss: 0.1818 +2023-03-04 09:12:57,746 - mmseg - INFO - Iter [122400/160000] lr: 2.344e-06, eta: 2:28:27, time: 0.195, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1911, decode.acc_seg: 92.1950, loss: 0.1911 +2023-03-04 09:13:10,070 - mmseg - INFO - Iter [122450/160000] lr: 2.344e-06, eta: 2:28:15, time: 0.246, data_time: 0.054, memory: 52540, decode.loss_ce: 0.1861, decode.acc_seg: 92.2635, loss: 0.1861 +2023-03-04 09:13:19,741 - mmseg - INFO - Iter [122500/160000] lr: 2.344e-06, eta: 2:28:03, time: 0.193, data_time: 0.006, memory: 52540, decode.loss_ce: 0.1867, decode.acc_seg: 92.3751, loss: 0.1867 +2023-03-04 09:13:29,366 - mmseg - INFO - Iter [122550/160000] lr: 2.344e-06, eta: 2:27:50, time: 0.193, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1883, decode.acc_seg: 92.4848, loss: 0.1883 +2023-03-04 09:13:38,914 - mmseg - INFO - Iter [122600/160000] lr: 2.344e-06, eta: 2:27:38, time: 0.191, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1820, decode.acc_seg: 92.5754, loss: 0.1820 +2023-03-04 09:13:48,629 - mmseg - INFO - Iter [122650/160000] lr: 2.344e-06, eta: 2:27:25, time: 0.194, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1824, decode.acc_seg: 92.3603, loss: 0.1824 +2023-03-04 09:13:58,306 - mmseg - INFO - Iter [122700/160000] lr: 2.344e-06, eta: 2:27:13, time: 0.194, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1889, decode.acc_seg: 92.2600, loss: 0.1889 +2023-03-04 09:14:07,843 - mmseg - INFO - Iter [122750/160000] lr: 2.344e-06, eta: 2:27:00, time: 0.190, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1877, decode.acc_seg: 92.3779, loss: 0.1877 +2023-03-04 09:14:17,658 - mmseg - INFO - Iter [122800/160000] lr: 2.344e-06, eta: 2:26:48, time: 0.197, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1808, decode.acc_seg: 92.5785, loss: 0.1808 +2023-03-04 09:14:27,245 - mmseg - INFO - Iter [122850/160000] lr: 2.344e-06, eta: 2:26:35, time: 0.192, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1869, decode.acc_seg: 92.4129, loss: 0.1869 +2023-03-04 09:14:36,741 - mmseg - INFO - Iter [122900/160000] lr: 2.344e-06, eta: 2:26:23, time: 0.190, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1808, decode.acc_seg: 92.5896, loss: 0.1808 +2023-03-04 09:14:46,307 - mmseg - INFO - Iter [122950/160000] lr: 2.344e-06, eta: 2:26:10, time: 0.191, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1789, decode.acc_seg: 92.4167, loss: 0.1789 +2023-03-04 09:14:56,743 - mmseg - INFO - Exp name: ablation_segformer_mit_b2_segformer_head_unet_fc_small_multi_step_ade_pretrained_freeze_embed_160k_ade20k151_finetune_ema_cos.py +2023-03-04 09:14:56,744 - mmseg - INFO - Iter [123000/160000] lr: 2.344e-06, eta: 2:25:58, time: 0.209, data_time: 0.006, memory: 52540, decode.loss_ce: 0.1868, decode.acc_seg: 92.1965, loss: 0.1868 +2023-03-04 09:15:09,010 - mmseg - INFO - Iter [123050/160000] lr: 2.344e-06, eta: 2:25:46, time: 0.245, data_time: 0.055, memory: 52540, decode.loss_ce: 0.1759, decode.acc_seg: 92.6276, loss: 0.1759 +2023-03-04 09:15:18,868 - mmseg - INFO - Iter [123100/160000] lr: 2.344e-06, eta: 2:25:34, time: 0.197, data_time: 0.006, memory: 52540, decode.loss_ce: 0.1808, decode.acc_seg: 92.4421, loss: 0.1808 +2023-03-04 09:15:28,613 - mmseg - INFO - Iter [123150/160000] lr: 2.344e-06, eta: 2:25:21, time: 0.195, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1788, decode.acc_seg: 92.5624, loss: 0.1788 +2023-03-04 09:15:38,342 - mmseg - INFO - Iter [123200/160000] lr: 2.344e-06, eta: 2:25:09, time: 0.195, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1852, decode.acc_seg: 92.3133, loss: 0.1852 +2023-03-04 09:15:48,013 - mmseg - INFO - Iter [123250/160000] lr: 2.344e-06, eta: 2:24:57, time: 0.193, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1852, decode.acc_seg: 92.4454, loss: 0.1852 +2023-03-04 09:15:57,498 - mmseg - INFO - Iter [123300/160000] lr: 2.344e-06, eta: 2:24:44, time: 0.190, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1819, decode.acc_seg: 92.5032, loss: 0.1819 +2023-03-04 09:16:07,086 - mmseg - INFO - Iter [123350/160000] lr: 2.344e-06, eta: 2:24:31, time: 0.192, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1824, decode.acc_seg: 92.5184, loss: 0.1824 +2023-03-04 09:16:16,703 - mmseg - INFO - Iter [123400/160000] lr: 2.344e-06, eta: 2:24:19, time: 0.193, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1826, decode.acc_seg: 92.4421, loss: 0.1826 +2023-03-04 09:16:26,749 - mmseg - INFO - Iter [123450/160000] lr: 2.344e-06, eta: 2:24:07, time: 0.201, data_time: 0.006, memory: 52540, decode.loss_ce: 0.1830, decode.acc_seg: 92.3487, loss: 0.1830 +2023-03-04 09:16:36,654 - mmseg - INFO - Iter [123500/160000] lr: 2.344e-06, eta: 2:23:54, time: 0.198, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1860, decode.acc_seg: 92.3155, loss: 0.1860 +2023-03-04 09:16:46,283 - mmseg - INFO - Iter [123550/160000] lr: 2.344e-06, eta: 2:23:42, time: 0.192, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1899, decode.acc_seg: 92.2626, loss: 0.1899 +2023-03-04 09:16:56,190 - mmseg - INFO - Iter [123600/160000] lr: 2.344e-06, eta: 2:23:29, time: 0.198, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1840, decode.acc_seg: 92.4282, loss: 0.1840 +2023-03-04 09:17:06,039 - mmseg - INFO - Iter [123650/160000] lr: 2.344e-06, eta: 2:23:17, time: 0.197, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1872, decode.acc_seg: 92.3075, loss: 0.1872 +2023-03-04 09:17:18,452 - mmseg - INFO - Iter [123700/160000] lr: 2.344e-06, eta: 2:23:05, time: 0.248, data_time: 0.055, memory: 52540, decode.loss_ce: 0.1916, decode.acc_seg: 92.1522, loss: 0.1916 +2023-03-04 09:17:28,027 - mmseg - INFO - Iter [123750/160000] lr: 2.344e-06, eta: 2:22:53, time: 0.192, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1937, decode.acc_seg: 92.1652, loss: 0.1937 +2023-03-04 09:17:37,604 - mmseg - INFO - Iter [123800/160000] lr: 2.344e-06, eta: 2:22:40, time: 0.192, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1931, decode.acc_seg: 92.0285, loss: 0.1931 +2023-03-04 09:17:47,406 - mmseg - INFO - Iter [123850/160000] lr: 2.344e-06, eta: 2:22:28, time: 0.196, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1778, decode.acc_seg: 92.5930, loss: 0.1778 +2023-03-04 09:17:57,095 - mmseg - INFO - Iter [123900/160000] lr: 2.344e-06, eta: 2:22:15, time: 0.194, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1843, decode.acc_seg: 92.3251, loss: 0.1843 +2023-03-04 09:18:06,861 - mmseg - INFO - Iter [123950/160000] lr: 2.344e-06, eta: 2:22:03, time: 0.195, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1848, decode.acc_seg: 92.4076, loss: 0.1848 +2023-03-04 09:18:16,658 - mmseg - INFO - Exp name: ablation_segformer_mit_b2_segformer_head_unet_fc_small_multi_step_ade_pretrained_freeze_embed_160k_ade20k151_finetune_ema_cos.py +2023-03-04 09:18:16,659 - mmseg - INFO - Iter [124000/160000] lr: 2.344e-06, eta: 2:21:51, time: 0.196, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1887, decode.acc_seg: 92.3152, loss: 0.1887 +2023-03-04 09:18:26,215 - mmseg - INFO - Iter [124050/160000] lr: 2.344e-06, eta: 2:21:38, time: 0.191, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1805, decode.acc_seg: 92.6218, loss: 0.1805 +2023-03-04 09:18:36,460 - mmseg - INFO - Iter [124100/160000] lr: 2.344e-06, eta: 2:21:26, time: 0.205, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1860, decode.acc_seg: 92.2644, loss: 0.1860 +2023-03-04 09:18:46,082 - mmseg - INFO - Iter [124150/160000] lr: 2.344e-06, eta: 2:21:13, time: 0.192, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1907, decode.acc_seg: 92.1099, loss: 0.1907 +2023-03-04 09:18:55,761 - mmseg - INFO - Iter [124200/160000] lr: 2.344e-06, eta: 2:21:01, time: 0.194, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1846, decode.acc_seg: 92.4181, loss: 0.1846 +2023-03-04 09:19:05,404 - mmseg - INFO - Iter [124250/160000] lr: 2.344e-06, eta: 2:20:49, time: 0.193, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1855, decode.acc_seg: 92.4297, loss: 0.1855 +2023-03-04 09:19:14,901 - mmseg - INFO - Iter [124300/160000] lr: 2.344e-06, eta: 2:20:36, time: 0.190, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1789, decode.acc_seg: 92.5307, loss: 0.1789 +2023-03-04 09:19:27,294 - mmseg - INFO - Iter [124350/160000] lr: 2.344e-06, eta: 2:20:24, time: 0.248, data_time: 0.054, memory: 52540, decode.loss_ce: 0.1874, decode.acc_seg: 92.2853, loss: 0.1874 +2023-03-04 09:19:36,963 - mmseg - INFO - Iter [124400/160000] lr: 2.344e-06, eta: 2:20:12, time: 0.193, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1858, decode.acc_seg: 92.3402, loss: 0.1858 +2023-03-04 09:19:46,662 - mmseg - INFO - Iter [124450/160000] lr: 2.344e-06, eta: 2:20:00, time: 0.194, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1808, decode.acc_seg: 92.5990, loss: 0.1808 +2023-03-04 09:19:56,306 - mmseg - INFO - Iter [124500/160000] lr: 2.344e-06, eta: 2:19:47, time: 0.193, data_time: 0.006, memory: 52540, decode.loss_ce: 0.1763, decode.acc_seg: 92.6448, loss: 0.1763 +2023-03-04 09:20:05,872 - mmseg - INFO - Iter [124550/160000] lr: 2.344e-06, eta: 2:19:35, time: 0.191, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1746, decode.acc_seg: 92.6252, loss: 0.1746 +2023-03-04 09:20:15,366 - mmseg - INFO - Iter [124600/160000] lr: 2.344e-06, eta: 2:19:22, time: 0.190, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1896, decode.acc_seg: 92.2882, loss: 0.1896 +2023-03-04 09:20:25,078 - mmseg - INFO - Iter [124650/160000] lr: 2.344e-06, eta: 2:19:10, time: 0.194, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1876, decode.acc_seg: 92.2764, loss: 0.1876 +2023-03-04 09:20:34,718 - mmseg - INFO - Iter [124700/160000] lr: 2.344e-06, eta: 2:18:57, time: 0.193, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1849, decode.acc_seg: 92.3060, loss: 0.1849 +2023-03-04 09:20:44,521 - mmseg - INFO - Iter [124750/160000] lr: 2.344e-06, eta: 2:18:45, time: 0.196, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1798, decode.acc_seg: 92.6135, loss: 0.1798 +2023-03-04 09:20:54,178 - mmseg - INFO - Iter [124800/160000] lr: 2.344e-06, eta: 2:18:33, time: 0.193, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1843, decode.acc_seg: 92.3314, loss: 0.1843 +2023-03-04 09:21:03,773 - mmseg - INFO - Iter [124850/160000] lr: 2.344e-06, eta: 2:18:20, time: 0.192, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1861, decode.acc_seg: 92.2608, loss: 0.1861 +2023-03-04 09:21:13,344 - mmseg - INFO - Iter [124900/160000] lr: 2.344e-06, eta: 2:18:08, time: 0.191, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1868, decode.acc_seg: 92.2997, loss: 0.1868 +2023-03-04 09:21:25,472 - mmseg - INFO - Iter [124950/160000] lr: 2.344e-06, eta: 2:17:56, time: 0.243, data_time: 0.057, memory: 52540, decode.loss_ce: 0.1840, decode.acc_seg: 92.3899, loss: 0.1840 +2023-03-04 09:21:35,188 - mmseg - INFO - Exp name: ablation_segformer_mit_b2_segformer_head_unet_fc_small_multi_step_ade_pretrained_freeze_embed_160k_ade20k151_finetune_ema_cos.py +2023-03-04 09:21:35,188 - mmseg - INFO - Iter [125000/160000] lr: 2.344e-06, eta: 2:17:44, time: 0.194, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1882, decode.acc_seg: 92.5021, loss: 0.1882 +2023-03-04 09:21:44,726 - mmseg - INFO - Iter [125050/160000] lr: 2.344e-06, eta: 2:17:31, time: 0.191, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1790, decode.acc_seg: 92.6089, loss: 0.1790 +2023-03-04 09:21:54,425 - mmseg - INFO - Iter [125100/160000] lr: 2.344e-06, eta: 2:17:19, time: 0.194, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1825, decode.acc_seg: 92.5237, loss: 0.1825 +2023-03-04 09:22:04,258 - mmseg - INFO - Iter [125150/160000] lr: 2.344e-06, eta: 2:17:06, time: 0.197, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1887, decode.acc_seg: 92.2886, loss: 0.1887 +2023-03-04 09:22:14,028 - mmseg - INFO - Iter [125200/160000] lr: 2.344e-06, eta: 2:16:54, time: 0.195, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1811, decode.acc_seg: 92.6551, loss: 0.1811 +2023-03-04 09:22:23,663 - mmseg - INFO - Iter [125250/160000] lr: 2.344e-06, eta: 2:16:42, time: 0.193, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1838, decode.acc_seg: 92.2477, loss: 0.1838 +2023-03-04 09:22:33,160 - mmseg - INFO - Iter [125300/160000] lr: 2.344e-06, eta: 2:16:29, time: 0.190, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1896, decode.acc_seg: 92.2783, loss: 0.1896 +2023-03-04 09:22:42,662 - mmseg - INFO - Iter [125350/160000] lr: 2.344e-06, eta: 2:16:17, time: 0.190, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1837, decode.acc_seg: 92.4851, loss: 0.1837 +2023-03-04 09:22:52,152 - mmseg - INFO - Iter [125400/160000] lr: 2.344e-06, eta: 2:16:04, time: 0.190, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1820, decode.acc_seg: 92.4724, loss: 0.1820 +2023-03-04 09:23:01,768 - mmseg - INFO - Iter [125450/160000] lr: 2.344e-06, eta: 2:15:52, time: 0.192, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1863, decode.acc_seg: 92.3703, loss: 0.1863 +2023-03-04 09:23:11,435 - mmseg - INFO - Iter [125500/160000] lr: 2.344e-06, eta: 2:15:40, time: 0.193, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1807, decode.acc_seg: 92.4423, loss: 0.1807 +2023-03-04 09:23:21,298 - mmseg - INFO - Iter [125550/160000] lr: 2.344e-06, eta: 2:15:27, time: 0.197, data_time: 0.006, memory: 52540, decode.loss_ce: 0.1789, decode.acc_seg: 92.6408, loss: 0.1789 +2023-03-04 09:23:33,335 - mmseg - INFO - Iter [125600/160000] lr: 2.344e-06, eta: 2:15:16, time: 0.241, data_time: 0.052, memory: 52540, decode.loss_ce: 0.1840, decode.acc_seg: 92.5156, loss: 0.1840 +2023-03-04 09:23:42,914 - mmseg - INFO - Iter [125650/160000] lr: 2.344e-06, eta: 2:15:03, time: 0.192, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1777, decode.acc_seg: 92.5847, loss: 0.1777 +2023-03-04 09:23:52,410 - mmseg - INFO - Iter [125700/160000] lr: 2.344e-06, eta: 2:14:51, time: 0.190, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1813, decode.acc_seg: 92.5922, loss: 0.1813 +2023-03-04 09:24:02,046 - mmseg - INFO - Iter [125750/160000] lr: 2.344e-06, eta: 2:14:38, time: 0.193, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1852, decode.acc_seg: 92.3135, loss: 0.1852 +2023-03-04 09:24:11,625 - mmseg - INFO - Iter [125800/160000] lr: 2.344e-06, eta: 2:14:26, time: 0.192, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1803, decode.acc_seg: 92.5798, loss: 0.1803 +2023-03-04 09:24:21,103 - mmseg - INFO - Iter [125850/160000] lr: 2.344e-06, eta: 2:14:13, time: 0.190, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1875, decode.acc_seg: 92.2310, loss: 0.1875 +2023-03-04 09:24:30,592 - mmseg - INFO - Iter [125900/160000] lr: 2.344e-06, eta: 2:14:01, time: 0.190, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1804, decode.acc_seg: 92.7015, loss: 0.1804 +2023-03-04 09:24:40,358 - mmseg - INFO - Iter [125950/160000] lr: 2.344e-06, eta: 2:13:49, time: 0.195, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1894, decode.acc_seg: 92.1386, loss: 0.1894 +2023-03-04 09:24:49,918 - mmseg - INFO - Exp name: ablation_segformer_mit_b2_segformer_head_unet_fc_small_multi_step_ade_pretrained_freeze_embed_160k_ade20k151_finetune_ema_cos.py +2023-03-04 09:24:49,918 - mmseg - INFO - Iter [126000/160000] lr: 2.344e-06, eta: 2:13:36, time: 0.191, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1826, decode.acc_seg: 92.4091, loss: 0.1826 +2023-03-04 09:24:59,823 - mmseg - INFO - Iter [126050/160000] lr: 2.344e-06, eta: 2:13:24, time: 0.198, data_time: 0.006, memory: 52540, decode.loss_ce: 0.1809, decode.acc_seg: 92.3399, loss: 0.1809 +2023-03-04 09:25:09,408 - mmseg - INFO - Iter [126100/160000] lr: 2.344e-06, eta: 2:13:12, time: 0.192, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1839, decode.acc_seg: 92.4005, loss: 0.1839 +2023-03-04 09:25:19,173 - mmseg - INFO - Iter [126150/160000] lr: 2.344e-06, eta: 2:12:59, time: 0.195, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1796, decode.acc_seg: 92.6199, loss: 0.1796 +2023-03-04 09:25:28,871 - mmseg - INFO - Iter [126200/160000] lr: 2.344e-06, eta: 2:12:47, time: 0.194, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1906, decode.acc_seg: 92.1298, loss: 0.1906 +2023-03-04 09:25:41,194 - mmseg - INFO - Iter [126250/160000] lr: 2.344e-06, eta: 2:12:35, time: 0.246, data_time: 0.053, memory: 52540, decode.loss_ce: 0.1847, decode.acc_seg: 92.3957, loss: 0.1847 +2023-03-04 09:25:51,158 - mmseg - INFO - Iter [126300/160000] lr: 2.344e-06, eta: 2:12:23, time: 0.199, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1893, decode.acc_seg: 92.2139, loss: 0.1893 +2023-03-04 09:26:00,854 - mmseg - INFO - Iter [126350/160000] lr: 2.344e-06, eta: 2:12:11, time: 0.194, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1834, decode.acc_seg: 92.3664, loss: 0.1834 +2023-03-04 09:26:10,642 - mmseg - INFO - Iter [126400/160000] lr: 2.344e-06, eta: 2:11:58, time: 0.196, data_time: 0.007, memory: 52540, decode.loss_ce: 0.2013, decode.acc_seg: 91.9448, loss: 0.2013 +2023-03-04 09:26:20,468 - mmseg - INFO - Iter [126450/160000] lr: 2.344e-06, eta: 2:11:46, time: 0.197, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1897, decode.acc_seg: 92.2734, loss: 0.1897 +2023-03-04 09:26:30,151 - mmseg - INFO - Iter [126500/160000] lr: 2.344e-06, eta: 2:11:34, time: 0.194, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1876, decode.acc_seg: 92.2502, loss: 0.1876 +2023-03-04 09:26:39,966 - mmseg - INFO - Iter [126550/160000] lr: 2.344e-06, eta: 2:11:21, time: 0.196, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1833, decode.acc_seg: 92.4260, loss: 0.1833 +2023-03-04 09:26:49,512 - mmseg - INFO - Iter [126600/160000] lr: 2.344e-06, eta: 2:11:09, time: 0.191, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1846, decode.acc_seg: 92.4385, loss: 0.1846 +2023-03-04 09:26:59,228 - mmseg - INFO - Iter [126650/160000] lr: 2.344e-06, eta: 2:10:57, time: 0.194, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1889, decode.acc_seg: 92.4021, loss: 0.1889 +2023-03-04 09:27:08,820 - mmseg - INFO - Iter [126700/160000] lr: 2.344e-06, eta: 2:10:44, time: 0.192, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1873, decode.acc_seg: 92.4182, loss: 0.1873 +2023-03-04 09:27:18,696 - mmseg - INFO - Iter [126750/160000] lr: 2.344e-06, eta: 2:10:32, time: 0.197, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1847, decode.acc_seg: 92.4641, loss: 0.1847 +2023-03-04 09:27:28,325 - mmseg - INFO - Iter [126800/160000] lr: 2.344e-06, eta: 2:10:20, time: 0.193, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1796, decode.acc_seg: 92.4560, loss: 0.1796 +2023-03-04 09:27:40,579 - mmseg - INFO - Iter [126850/160000] lr: 2.344e-06, eta: 2:10:08, time: 0.245, data_time: 0.056, memory: 52540, decode.loss_ce: 0.1835, decode.acc_seg: 92.4319, loss: 0.1835 +2023-03-04 09:27:50,208 - mmseg - INFO - Iter [126900/160000] lr: 2.344e-06, eta: 2:09:56, time: 0.193, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1856, decode.acc_seg: 92.3314, loss: 0.1856 +2023-03-04 09:28:00,097 - mmseg - INFO - Iter [126950/160000] lr: 2.344e-06, eta: 2:09:44, time: 0.198, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1819, decode.acc_seg: 92.5167, loss: 0.1819 +2023-03-04 09:28:09,734 - mmseg - INFO - Exp name: ablation_segformer_mit_b2_segformer_head_unet_fc_small_multi_step_ade_pretrained_freeze_embed_160k_ade20k151_finetune_ema_cos.py +2023-03-04 09:28:09,734 - mmseg - INFO - Iter [127000/160000] lr: 2.344e-06, eta: 2:09:31, time: 0.192, data_time: 0.006, memory: 52540, decode.loss_ce: 0.1829, decode.acc_seg: 92.5796, loss: 0.1829 +2023-03-04 09:28:19,599 - mmseg - INFO - Iter [127050/160000] lr: 2.344e-06, eta: 2:09:19, time: 0.198, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1816, decode.acc_seg: 92.4750, loss: 0.1816 +2023-03-04 09:28:29,435 - mmseg - INFO - Iter [127100/160000] lr: 2.344e-06, eta: 2:09:07, time: 0.196, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1878, decode.acc_seg: 92.2969, loss: 0.1878 +2023-03-04 09:28:38,962 - mmseg - INFO - Iter [127150/160000] lr: 2.344e-06, eta: 2:08:54, time: 0.191, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1807, decode.acc_seg: 92.3681, loss: 0.1807 +2023-03-04 09:28:48,781 - mmseg - INFO - Iter [127200/160000] lr: 2.344e-06, eta: 2:08:42, time: 0.196, data_time: 0.006, memory: 52540, decode.loss_ce: 0.1865, decode.acc_seg: 92.2508, loss: 0.1865 +2023-03-04 09:28:58,302 - mmseg - INFO - Iter [127250/160000] lr: 2.344e-06, eta: 2:08:30, time: 0.190, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1781, decode.acc_seg: 92.5926, loss: 0.1781 +2023-03-04 09:29:07,964 - mmseg - INFO - Iter [127300/160000] lr: 2.344e-06, eta: 2:08:17, time: 0.193, data_time: 0.006, memory: 52540, decode.loss_ce: 0.1696, decode.acc_seg: 92.8725, loss: 0.1696 +2023-03-04 09:29:17,585 - mmseg - INFO - Iter [127350/160000] lr: 2.344e-06, eta: 2:08:05, time: 0.192, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1859, decode.acc_seg: 92.3230, loss: 0.1859 +2023-03-04 09:29:27,105 - mmseg - INFO - Iter [127400/160000] lr: 2.344e-06, eta: 2:07:53, time: 0.190, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1909, decode.acc_seg: 92.0850, loss: 0.1909 +2023-03-04 09:29:36,742 - mmseg - INFO - Iter [127450/160000] lr: 2.344e-06, eta: 2:07:40, time: 0.193, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1786, decode.acc_seg: 92.7373, loss: 0.1786 +2023-03-04 09:29:48,735 - mmseg - INFO - Iter [127500/160000] lr: 2.344e-06, eta: 2:07:29, time: 0.240, data_time: 0.053, memory: 52540, decode.loss_ce: 0.1797, decode.acc_seg: 92.7302, loss: 0.1797 +2023-03-04 09:29:58,273 - mmseg - INFO - Iter [127550/160000] lr: 2.344e-06, eta: 2:07:16, time: 0.191, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1858, decode.acc_seg: 92.3461, loss: 0.1858 +2023-03-04 09:30:08,058 - mmseg - INFO - Iter [127600/160000] lr: 2.344e-06, eta: 2:07:04, time: 0.196, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1887, decode.acc_seg: 92.3719, loss: 0.1887 +2023-03-04 09:30:17,756 - mmseg - INFO - Iter [127650/160000] lr: 2.344e-06, eta: 2:06:52, time: 0.194, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1856, decode.acc_seg: 92.3614, loss: 0.1856 +2023-03-04 09:30:27,383 - mmseg - INFO - Iter [127700/160000] lr: 2.344e-06, eta: 2:06:39, time: 0.193, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1793, decode.acc_seg: 92.5442, loss: 0.1793 +2023-03-04 09:30:37,183 - mmseg - INFO - Iter [127750/160000] lr: 2.344e-06, eta: 2:06:27, time: 0.196, data_time: 0.006, memory: 52540, decode.loss_ce: 0.1893, decode.acc_seg: 92.2021, loss: 0.1893 +2023-03-04 09:30:46,739 - mmseg - INFO - Iter [127800/160000] lr: 2.344e-06, eta: 2:06:15, time: 0.191, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1830, decode.acc_seg: 92.3764, loss: 0.1830 +2023-03-04 09:30:56,299 - mmseg - INFO - Iter [127850/160000] lr: 2.344e-06, eta: 2:06:03, time: 0.191, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1836, decode.acc_seg: 92.4547, loss: 0.1836 +2023-03-04 09:31:05,856 - mmseg - INFO - Iter [127900/160000] lr: 2.344e-06, eta: 2:05:50, time: 0.191, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1856, decode.acc_seg: 92.3853, loss: 0.1856 +2023-03-04 09:31:15,599 - mmseg - INFO - Iter [127950/160000] lr: 2.344e-06, eta: 2:05:38, time: 0.195, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1843, decode.acc_seg: 92.4631, loss: 0.1843 +2023-03-04 09:31:25,080 - mmseg - INFO - Swap parameters (after train) after iter [128000] +2023-03-04 09:31:25,093 - mmseg - INFO - Saving checkpoint at 128000 iterations +2023-03-04 09:31:26,146 - mmseg - INFO - Exp name: ablation_segformer_mit_b2_segformer_head_unet_fc_small_multi_step_ade_pretrained_freeze_embed_160k_ade20k151_finetune_ema_cos.py +2023-03-04 09:31:26,146 - mmseg - INFO - Iter [128000/160000] lr: 2.344e-06, eta: 2:05:26, time: 0.211, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1830, decode.acc_seg: 92.3877, loss: 0.1830 +2023-03-04 09:42:15,024 - mmseg - INFO - per class results: +2023-03-04 09:42:15,032 - mmseg - INFO - ++---------------------+-------------------------------------------------------------------+ +| Class | IoU 0,10,20,30,40,50,60,70,80,90,99 | ++---------------------+-------------------------------------------------------------------+ +| background | nan,nan,nan,nan,nan,nan,nan,nan,nan,nan,nan | +| wall | 77.4,77.4,77.41,77.41,77.41,77.42,77.44,77.47,77.5,77.51,77.54 | +| building | 81.63,81.64,81.64,81.65,81.64,81.65,81.66,81.68,81.68,81.68,81.66 | +| sky | 94.4,94.4,94.4,94.4,94.4,94.4,94.41,94.4,94.4,94.4,94.4 | +| floor | 81.67,81.66,81.66,81.66,81.66,81.66,81.67,81.68,81.68,81.67,81.69 | +| tree | 74.37,74.36,74.38,74.38,74.36,74.37,74.39,74.38,74.41,74.41,74.39 | +| ceiling | 85.25,85.24,85.24,85.23,85.22,85.25,85.26,85.3,85.29,85.28,85.28 | +| road | 82.15,82.15,82.15,82.15,82.15,82.13,82.13,82.13,82.13,82.11,82.11 | +| bed | 87.96,87.96,87.95,87.94,87.94,87.94,87.99,87.98,88.02,88.01,88.02 | +| windowpane | 60.68,60.68,60.68,60.7,60.69,60.74,60.73,60.8,60.89,60.92,60.92 | +| grass | 67.16,67.16,67.18,67.2,67.19,67.18,67.22,67.24,67.25,67.27,67.32 | +| cabinet | 61.55,61.47,61.55,61.5,61.52,61.6,61.75,61.81,62.07,62.41,62.46 | +| sidewalk | 64.52,64.49,64.5,64.49,64.49,64.49,64.49,64.51,64.48,64.44,64.49 | +| person | 79.7,79.69,79.71,79.7,79.69,79.7,79.7,79.72,79.71,79.7,79.71 | +| earth | 35.76,35.76,35.77,35.76,35.76,35.77,35.76,35.84,35.75,35.73,35.67 | +| door | 45.96,45.99,46.01,46.02,45.98,46.01,46.02,46.11,46.1,46.18,46.21 | +| table | 61.41,61.4,61.39,61.39,61.46,61.45,61.54,61.59,61.72,61.83,61.83 | +| mountain | 57.06,57.06,57.08,57.09,57.09,57.11,57.19,57.22,57.3,57.4,57.49 | +| plant | 49.62,49.58,49.65,49.61,49.6,49.57,49.57,49.58,49.51,49.49,49.48 | +| curtain | 74.41,74.41,74.41,74.45,74.41,74.42,74.45,74.52,74.55,74.61,74.65 | +| chair | 56.89,56.88,56.86,56.86,56.91,56.89,56.94,56.95,57.01,57.04,57.04 | +| car | 81.83,81.84,81.82,81.82,81.84,81.83,81.84,81.84,81.87,81.92,81.95 | +| water | 57.19,57.17,57.2,57.15,57.18,57.22,57.23,57.28,57.3,57.35,57.41 | +| painting | 70.22,70.24,70.26,70.25,70.26,70.21,70.19,70.16,70.14,70.06,70.02 | +| sofa | 64.42,64.41,64.46,64.39,64.44,64.54,64.51,64.66,64.77,64.72,64.8 | +| shelf | 44.11,44.13,44.12,44.11,44.12,44.13,44.16,44.31,44.38,44.49,44.42 | +| house | 42.36,42.46,42.36,42.52,42.51,42.48,42.61,42.57,42.63,42.42,42.27 | +| sea | 60.31,60.3,60.31,60.27,60.29,60.33,60.36,60.38,60.38,60.39,60.44 | +| mirror | 67.22,67.26,67.26,67.3,67.29,67.24,67.43,67.4,67.4,67.47,67.3 | +| rug | 64.2,64.18,64.14,64.11,64.15,64.16,64.2,64.29,64.29,64.37,64.45 | +| field | 30.72,30.73,30.71,30.72,30.71,30.7,30.68,30.62,30.6,30.62,30.61 | +| armchair | 38.21,38.16,38.17,38.17,38.15,38.23,38.26,38.22,38.23,38.11,38.14 | +| seat | 66.64,66.65,66.67,66.64,66.64,66.67,66.7,66.74,66.72,66.85,66.92 | +| fence | 40.24,40.32,40.32,40.31,40.27,40.38,40.41,40.57,40.56,40.58,40.57 | +| desk | 46.86,46.81,46.89,46.86,46.84,46.98,46.99,47.03,47.29,47.75,47.83 | +| rock | 36.82,36.79,36.79,36.81,36.81,36.81,36.83,36.82,36.83,36.82,36.91 | +| wardrobe | 57.81,57.73,57.78,57.78,57.75,57.81,57.78,57.6,57.56,57.72,57.66 | +| lamp | 61.94,61.89,61.93,61.93,61.91,61.93,61.95,61.92,61.89,61.92,61.86 | +| bathtub | 76.82,76.67,76.71,76.76,76.74,76.7,76.85,76.9,77.08,77.15,77.07 | +| railing | 33.91,33.91,33.97,33.98,33.94,33.9,33.83,33.74,33.72,33.72,33.65 | +| cushion | 57.11,56.95,57.0,56.91,56.98,57.06,56.9,56.87,56.67,56.62,56.56 | +| base | 22.13,22.16,22.15,22.21,22.15,22.16,22.2,22.23,22.27,22.29,22.42 | +| box | 23.12,23.09,23.03,23.1,23.04,23.13,23.18,23.19,23.37,23.36,23.47 | +| column | 46.37,46.4,46.42,46.38,46.41,46.46,46.49,46.41,46.63,46.55,46.65 | +| signboard | 37.72,37.79,37.78,37.81,37.77,37.78,37.83,37.85,37.8,37.77,37.88 | +| chest of drawers | 36.51,36.44,36.45,36.47,36.46,36.43,36.58,36.44,36.49,36.54,36.76 | +| counter | 31.52,31.5,31.52,31.53,31.53,31.56,31.56,31.71,31.69,31.65,31.65 | +| sand | 42.49,42.55,42.48,42.54,42.57,42.54,42.62,42.66,42.85,42.91,43.01 | +| sink | 67.83,67.9,67.86,67.86,67.87,67.86,67.79,67.77,67.7,67.63,67.52 | +| skyscraper | 50.07,50.12,50.14,50.22,50.03,49.95,49.87,49.63,49.44,49.35,49.31 | +| fireplace | 76.06,76.05,76.08,76.09,76.06,76.1,76.18,76.35,76.5,76.63,76.77 | +| refrigerator | 75.34,75.41,75.42,75.38,75.44,75.51,75.51,75.79,75.94,75.91,76.13 | +| grandstand | 54.19,54.08,54.21,53.97,54.16,54.24,54.4,54.62,54.7,55.05,55.33 | +| path | 22.71,22.7,22.73,22.71,22.75,22.75,22.71,22.75,22.75,22.76,22.86 | +| stairs | 32.04,32.03,32.03,32.04,32.01,32.04,32.01,32.03,32.0,31.98,31.93 | +| runway | 68.01,68.04,68.01,68.06,68.07,68.09,68.09,68.27,68.27,68.33,68.34 | +| case | 49.88,49.97,49.89,49.92,49.94,49.94,49.93,49.92,50.01,50.16,50.11 | +| pool table | 91.91,91.93,91.88,91.9,91.91,91.89,91.95,91.93,91.97,92.0,92.03 | +| pillow | 60.25,60.0,60.12,59.94,60.03,60.05,59.9,59.67,59.37,59.06,59.16 | +| screen door | 72.21,72.18,72.2,72.26,72.28,72.36,72.53,72.79,73.11,73.36,73.4 | +| stairway | 23.21,23.26,23.21,23.25,23.25,23.19,23.18,23.23,23.17,23.15,23.13 | +| river | 11.77,11.77,11.78,11.76,11.77,11.77,11.76,11.78,11.78,11.77,11.76 | +| bridge | 31.85,31.97,31.88,31.93,31.95,31.82,31.85,31.82,31.81,31.76,31.95 | +| bookcase | 45.75,45.82,45.78,45.77,45.74,45.8,45.75,45.75,45.68,45.79,45.83 | +| blind | 39.92,40.12,39.86,39.94,40.08,40.08,40.24,40.39,40.68,40.69,40.83 | +| coffee table | 53.32,53.31,53.36,53.3,53.4,53.35,53.43,53.48,53.65,53.82,53.86 | +| toilet | 83.86,83.91,83.82,83.79,83.85,83.86,83.78,83.79,83.72,83.67,83.64 | +| flower | 38.43,38.5,38.43,38.47,38.5,38.46,38.46,38.45,38.46,38.46,38.44 | +| book | 45.69,45.67,45.62,45.67,45.64,45.63,45.59,45.54,45.55,45.47,45.37 | +| hill | 15.33,15.3,15.28,15.29,15.35,15.38,15.37,15.46,15.42,15.37,15.36 | +| bench | 43.3,43.24,43.32,43.25,43.26,43.32,43.26,43.29,43.4,43.45,43.62 | +| countertop | 55.15,55.15,55.23,55.22,55.26,55.25,55.26,55.49,55.62,55.87,56.0 | +| stove | 71.82,71.93,71.84,71.81,71.86,71.79,71.8,71.79,71.64,71.51,71.5 | +| palm | 48.07,48.04,48.06,48.07,47.98,47.98,48.05,48.06,48.0,48.02,47.91 | +| kitchen island | 45.89,45.87,46.12,45.94,46.02,45.93,45.97,45.96,45.41,45.29,45.26 | +| computer | 60.71,60.67,60.72,60.69,60.74,60.71,60.7,60.7,60.63,60.63,60.59 | +| swivel chair | 43.93,43.96,43.78,44.0,43.8,43.94,44.1,44.2,44.24,44.37,44.64 | +| boat | 73.23,73.3,73.24,73.31,73.18,73.25,73.26,73.39,73.46,73.65,73.84 | +| bar | 24.04,24.02,24.05,24.05,24.02,24.07,24.06,24.06,24.09,24.13,24.17 | +| arcade machine | 67.94,67.83,67.96,68.11,67.82,68.01,68.07,67.54,66.97,66.9,66.62 | +| hovel | 32.39,32.52,32.53,32.7,32.77,32.58,32.77,32.92,33.1,33.07,33.0 | +| bus | 79.47,79.47,79.59,79.47,79.54,79.62,79.52,79.59,79.71,79.67,79.62 | +| towel | 62.17,62.17,62.13,62.11,62.08,62.14,62.2,62.18,62.21,62.26,62.22 | +| light | 55.64,55.65,55.68,55.69,55.7,55.67,55.77,55.75,55.8,55.82,55.79 | +| truck | 19.09,19.03,19.18,19.05,19.12,19.19,19.06,19.04,19.01,19.0,19.0 | +| tower | 8.6,8.57,8.63,8.65,8.67,8.7,8.72,8.67,8.79,8.79,8.88 | +| chandelier | 63.86,63.82,63.87,63.84,63.89,63.81,63.82,63.89,63.88,63.94,63.86 | +| awning | 24.54,24.64,24.59,24.54,24.64,24.63,24.79,24.98,25.26,25.57,25.79 | +| streetlight | 27.45,27.51,27.54,27.47,27.46,27.48,27.58,27.55,27.51,27.53,27.47 | +| booth | 45.89,46.15,45.95,46.23,46.51,45.98,46.47,46.72,46.91,47.21,47.8 | +| television receiver | 64.56,64.58,64.56,64.6,64.54,64.6,64.73,64.81,64.88,65.11,65.14 | +| airplane | 59.51,59.61,59.5,59.49,59.58,59.43,59.37,59.32,59.26,58.94,58.81 | +| dirt track | 20.64,20.74,20.81,20.71,20.73,20.79,20.91,21.11,21.05,21.21,21.22 | +| apparel | 34.7,34.72,34.86,34.8,34.67,34.94,35.13,35.32,35.45,35.65,35.92 | +| pole | 19.12,19.13,19.12,19.06,19.08,19.06,19.0,19.01,18.94,18.77,18.64 | +| land | 3.86,3.86,3.86,3.84,3.89,3.84,3.89,3.9,3.89,3.86,3.85 | +| bannister | 12.66,12.59,12.68,12.63,12.64,12.6,12.65,12.79,12.76,12.81,12.87 | +| escalator | 24.36,24.37,24.32,24.37,24.36,24.43,24.45,24.48,24.56,24.63,24.76 | +| ottoman | 43.51,43.45,43.51,43.52,43.52,43.51,43.39,43.29,43.36,43.31,43.52 | +| bottle | 34.93,35.05,35.03,35.05,35.08,35.07,35.09,35.03,35.08,35.09,35.12 | +| buffet | 44.59,44.69,44.78,44.69,44.74,45.05,45.22,45.72,46.12,46.26,46.18 | +| poster | 22.84,22.85,22.85,22.82,22.74,22.75,22.85,22.93,23.21,23.22,23.27 | +| stage | 14.16,14.18,14.14,14.17,14.18,14.08,14.1,14.08,14.06,13.98,14.0 | +| van | 38.65,38.67,38.72,38.65,38.66,38.62,38.57,38.39,38.44,38.37,38.32 | +| ship | 83.03,83.26,83.15,83.29,83.17,83.39,83.5,83.64,83.76,83.93,84.1 | +| fountain | 21.19,21.23,21.3,21.4,21.3,21.2,21.22,21.47,21.46,21.47,21.77 | +| conveyer belt | 85.25,85.26,85.21,85.29,85.24,85.27,85.36,85.52,85.64,85.79,86.12 | +| canopy | 22.88,23.06,22.84,22.96,23.06,23.08,23.27,23.37,23.85,24.1,24.45 | +| washer | 73.28,73.07,73.22,73.1,73.45,73.32,73.29,73.44,73.43,73.66,73.93 | +| plaything | 19.36,19.37,19.38,19.43,19.45,19.33,19.33,19.36,19.24,19.16,19.12 | +| swimming pool | 75.14,75.13,75.0,75.24,75.39,75.4,75.46,75.78,75.77,75.77,75.26 | +| stool | 43.91,43.83,43.83,43.79,43.86,43.66,43.81,43.78,43.69,43.6,43.53 | +| barrel | 54.19,52.51,51.71,53.21,53.83,54.2,54.48,53.82,54.78,54.56,54.49 | +| basket | 24.16,24.18,24.19,24.22,24.19,24.24,24.22,24.26,24.16,24.12,24.06 | +| waterfall | 49.31,49.33,49.3,49.37,49.38,49.31,49.29,49.29,49.3,49.38,49.5 | +| tent | 94.84,94.78,94.78,94.75,94.74,94.75,94.78,94.77,94.77,94.73,94.75 | +| bag | 16.34,16.29,16.25,16.29,16.27,16.4,16.44,16.39,16.4,16.49,16.56 | +| minibike | 63.05,63.15,62.87,63.05,63.02,63.03,63.14,63.05,63.04,63.02,62.92 | +| cradle | 84.25,84.27,84.2,84.27,84.28,84.34,84.39,84.55,84.68,84.88,85.07 | +| oven | 49.09,49.12,49.21,48.98,49.04,49.2,49.15,49.39,49.3,49.41,49.53 | +| ball | 46.74,46.9,46.78,46.76,46.85,46.61,46.74,46.77,46.49,46.3,46.03 | +| food | 53.98,54.01,54.01,54.08,54.1,54.01,53.94,54.04,53.97,54.21,54.08 | +| step | 6.91,6.82,6.92,6.8,6.85,6.95,6.89,6.86,6.91,6.84,6.89 | +| tank | 51.36,51.38,51.26,51.35,51.3,51.23,51.2,51.12,50.93,50.64,50.51 | +| trade name | 26.84,26.9,26.87,26.88,26.72,26.76,26.77,26.8,26.71,26.97,26.88 | +| microwave | 71.67,71.76,71.66,71.71,71.69,71.85,71.94,72.05,72.29,72.44,72.58 | +| pot | 30.28,30.25,30.3,30.3,30.31,30.39,30.27,30.36,30.44,30.5,30.61 | +| animal | 54.32,54.33,54.34,54.37,54.32,54.36,54.32,54.25,54.19,54.19,54.23 | +| bicycle | 54.62,54.62,54.49,54.6,54.71,54.67,54.72,54.7,54.93,55.07,55.14 | +| lake | 57.83,57.83,57.86,57.9,57.87,57.96,57.96,58.08,58.12,58.22,58.32 | +| dishwasher | 65.94,65.98,65.96,65.99,65.97,65.97,65.84,65.91,66.06,66.11,66.16 | +| screen | 66.33,66.17,66.26,66.05,65.89,65.74,65.41,65.38,64.95,64.72,64.64 | +| blanket | 17.9,17.91,17.9,17.95,17.92,18.03,17.96,17.98,18.05,18.07,17.9 | +| sculpture | 56.89,56.98,56.99,57.02,57.05,56.95,56.93,56.89,56.85,57.0,57.25 | +| hood | 56.7,56.88,57.09,56.99,56.85,56.61,56.82,56.34,56.0,55.55,55.05 | +| sconce | 43.21,43.1,43.22,43.35,43.27,43.33,43.53,43.49,43.66,43.92,44.09 | +| vase | 37.53,37.69,37.58,37.53,37.68,37.62,37.63,37.68,37.7,37.82,37.91 | +| traffic light | 33.05,33.14,33.16,33.09,33.16,33.31,33.36,33.31,33.42,33.49,33.6 | +| tray | 8.6,8.53,8.37,8.47,8.51,8.5,8.51,8.61,8.55,8.64,8.76 | +| ashcan | 41.02,40.85,40.93,40.96,40.93,40.98,40.94,40.91,40.97,41.13,41.15 | +| fan | 58.06,58.13,58.06,58.15,58.15,58.12,58.17,58.12,58.02,57.85,57.86 | +| pier | 48.24,48.36,48.18,48.3,48.36,48.51,49.19,50.16,51.87,54.9,56.6 | +| crt screen | 10.61,10.57,10.64,10.61,10.61,10.68,10.72,10.74,10.7,10.68,10.64 | +| plate | 52.16,52.18,52.09,52.26,52.18,52.3,52.41,52.52,52.74,52.96,53.16 | +| monitor | 17.9,17.91,17.97,17.99,17.78,17.96,17.81,17.92,17.85,17.79,17.73 | +| bulletin board | 38.83,39.07,39.07,38.98,38.87,38.93,38.93,39.14,39.01,38.84,38.7 | +| shower | 2.12,2.15,2.16,2.16,2.13,2.17,2.26,2.22,2.33,2.29,2.27 | +| radiator | 57.41,57.74,57.14,57.39,57.62,57.52,57.81,57.91,58.46,59.33,60.81 | +| glass | 13.31,13.35,13.26,13.35,13.35,13.31,13.38,13.43,13.41,13.47,13.47 | +| clock | 35.02,35.14,35.01,35.35,34.93,35.23,35.1,35.33,35.4,35.48,35.45 | +| flag | 33.43,33.49,33.33,33.32,33.34,33.39,33.38,33.34,33.23,33.3,33.25 | ++---------------------+-------------------------------------------------------------------+ +2023-03-04 09:42:15,033 - mmseg - INFO - Summary: +2023-03-04 09:42:15,033 - mmseg - INFO - ++-------------------------------------------------------------------+ +| mIoU 0,10,20,30,40,50,60,70,80,90,99 | ++-------------------------------------------------------------------+ +| 48.85,48.85,48.84,48.86,48.87,48.88,48.92,48.95,48.99,49.05,49.09 | ++-------------------------------------------------------------------+ +2023-03-04 09:42:15,033 - mmseg - INFO - Exp name: ablation_segformer_mit_b2_segformer_head_unet_fc_small_multi_step_ade_pretrained_freeze_embed_160k_ade20k151_finetune_ema_cos.py +2023-03-04 09:42:15,033 - mmseg - INFO - Iter(val) [250] mIoU: [0.4885, 0.4885, 0.4884, 0.4886, 0.4887, 0.4888, 0.4892, 0.4895, 0.4899, 0.4905, 0.4909], copy_paste: 48.85,48.85,48.84,48.86,48.87,48.88,48.92,48.95,48.99,49.05,49.09 +2023-03-04 09:42:15,039 - mmseg - INFO - Swap parameters (before train) before iter [128001] +2023-03-04 09:42:25,372 - mmseg - INFO - Iter [128050/160000] lr: 2.344e-06, eta: 2:07:56, time: 13.185, data_time: 12.985, memory: 52540, decode.loss_ce: 0.1838, decode.acc_seg: 92.3627, loss: 0.1838 +2023-03-04 09:42:37,785 - mmseg - INFO - Iter [128100/160000] lr: 2.344e-06, eta: 2:07:44, time: 0.248, data_time: 0.054, memory: 52540, decode.loss_ce: 0.1885, decode.acc_seg: 92.2053, loss: 0.1885 +2023-03-04 09:42:47,700 - mmseg - INFO - Iter [128150/160000] lr: 2.344e-06, eta: 2:07:31, time: 0.198, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1789, decode.acc_seg: 92.6547, loss: 0.1789 +2023-03-04 09:42:57,630 - mmseg - INFO - Iter [128200/160000] lr: 2.344e-06, eta: 2:07:19, time: 0.199, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1831, decode.acc_seg: 92.2382, loss: 0.1831 +2023-03-04 09:43:07,513 - mmseg - INFO - Iter [128250/160000] lr: 2.344e-06, eta: 2:07:06, time: 0.198, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1952, decode.acc_seg: 91.9765, loss: 0.1952 +2023-03-04 09:43:17,502 - mmseg - INFO - Iter [128300/160000] lr: 2.344e-06, eta: 2:06:54, time: 0.200, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1828, decode.acc_seg: 92.4684, loss: 0.1828 +2023-03-04 09:43:27,046 - mmseg - INFO - Iter [128350/160000] lr: 2.344e-06, eta: 2:06:41, time: 0.191, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1877, decode.acc_seg: 92.3147, loss: 0.1877 +2023-03-04 09:43:36,984 - mmseg - INFO - Iter [128400/160000] lr: 2.344e-06, eta: 2:06:29, time: 0.199, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1822, decode.acc_seg: 92.4518, loss: 0.1822 +2023-03-04 09:43:46,581 - mmseg - INFO - Iter [128450/160000] lr: 2.344e-06, eta: 2:06:16, time: 0.192, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1805, decode.acc_seg: 92.6099, loss: 0.1805 +2023-03-04 09:43:56,794 - mmseg - INFO - Iter [128500/160000] lr: 2.344e-06, eta: 2:06:03, time: 0.204, data_time: 0.006, memory: 52540, decode.loss_ce: 0.1828, decode.acc_seg: 92.4898, loss: 0.1828 +2023-03-04 09:44:06,502 - mmseg - INFO - Iter [128550/160000] lr: 2.344e-06, eta: 2:05:51, time: 0.194, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1906, decode.acc_seg: 92.1651, loss: 0.1906 +2023-03-04 09:44:16,707 - mmseg - INFO - Iter [128600/160000] lr: 2.344e-06, eta: 2:05:38, time: 0.204, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1819, decode.acc_seg: 92.4234, loss: 0.1819 +2023-03-04 09:44:26,843 - mmseg - INFO - Iter [128650/160000] lr: 2.344e-06, eta: 2:05:26, time: 0.203, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1822, decode.acc_seg: 92.4561, loss: 0.1822 +2023-03-04 09:44:36,470 - mmseg - INFO - Iter [128700/160000] lr: 2.344e-06, eta: 2:05:13, time: 0.193, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1930, decode.acc_seg: 92.0864, loss: 0.1930 +2023-03-04 09:44:48,434 - mmseg - INFO - Iter [128750/160000] lr: 2.344e-06, eta: 2:05:01, time: 0.239, data_time: 0.054, memory: 52540, decode.loss_ce: 0.1847, decode.acc_seg: 92.3050, loss: 0.1847 +2023-03-04 09:44:58,220 - mmseg - INFO - Iter [128800/160000] lr: 2.344e-06, eta: 2:04:49, time: 0.196, data_time: 0.006, memory: 52540, decode.loss_ce: 0.1858, decode.acc_seg: 92.4910, loss: 0.1858 +2023-03-04 09:45:07,754 - mmseg - INFO - Iter [128850/160000] lr: 2.344e-06, eta: 2:04:36, time: 0.191, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1868, decode.acc_seg: 92.3704, loss: 0.1868 +2023-03-04 09:45:17,314 - mmseg - INFO - Iter [128900/160000] lr: 2.344e-06, eta: 2:04:24, time: 0.191, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1763, decode.acc_seg: 92.7847, loss: 0.1763 +2023-03-04 09:45:27,017 - mmseg - INFO - Iter [128950/160000] lr: 2.344e-06, eta: 2:04:11, time: 0.194, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1828, decode.acc_seg: 92.5321, loss: 0.1828 +2023-03-04 09:45:36,708 - mmseg - INFO - Exp name: ablation_segformer_mit_b2_segformer_head_unet_fc_small_multi_step_ade_pretrained_freeze_embed_160k_ade20k151_finetune_ema_cos.py +2023-03-04 09:45:36,709 - mmseg - INFO - Iter [129000/160000] lr: 2.344e-06, eta: 2:03:59, time: 0.194, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1842, decode.acc_seg: 92.3967, loss: 0.1842 +2023-03-04 09:45:46,476 - mmseg - INFO - Iter [129050/160000] lr: 2.344e-06, eta: 2:03:46, time: 0.195, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1846, decode.acc_seg: 92.4347, loss: 0.1846 +2023-03-04 09:45:55,986 - mmseg - INFO - Iter [129100/160000] lr: 2.344e-06, eta: 2:03:33, time: 0.190, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1722, decode.acc_seg: 92.8581, loss: 0.1722 +2023-03-04 09:46:05,602 - mmseg - INFO - Iter [129150/160000] lr: 2.344e-06, eta: 2:03:21, time: 0.192, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1934, decode.acc_seg: 92.1108, loss: 0.1934 +2023-03-04 09:46:15,284 - mmseg - INFO - Iter [129200/160000] lr: 2.344e-06, eta: 2:03:08, time: 0.194, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1944, decode.acc_seg: 92.0731, loss: 0.1944 +2023-03-04 09:46:25,140 - mmseg - INFO - Iter [129250/160000] lr: 2.344e-06, eta: 2:02:56, time: 0.197, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1817, decode.acc_seg: 92.5298, loss: 0.1817 +2023-03-04 09:46:34,752 - mmseg - INFO - Iter [129300/160000] lr: 2.344e-06, eta: 2:02:43, time: 0.192, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1836, decode.acc_seg: 92.3196, loss: 0.1836 +2023-03-04 09:46:44,498 - mmseg - INFO - Iter [129350/160000] lr: 2.344e-06, eta: 2:02:31, time: 0.195, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1829, decode.acc_seg: 92.4153, loss: 0.1829 +2023-03-04 09:46:56,937 - mmseg - INFO - Iter [129400/160000] lr: 2.344e-06, eta: 2:02:19, time: 0.249, data_time: 0.055, memory: 52540, decode.loss_ce: 0.1810, decode.acc_seg: 92.6043, loss: 0.1810 +2023-03-04 09:47:06,825 - mmseg - INFO - Iter [129450/160000] lr: 2.344e-06, eta: 2:02:06, time: 0.198, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1925, decode.acc_seg: 92.2264, loss: 0.1925 +2023-03-04 09:47:16,406 - mmseg - INFO - Iter [129500/160000] lr: 2.344e-06, eta: 2:01:54, time: 0.192, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1843, decode.acc_seg: 92.5297, loss: 0.1843 +2023-03-04 09:47:26,047 - mmseg - INFO - Iter [129550/160000] lr: 2.344e-06, eta: 2:01:41, time: 0.193, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1817, decode.acc_seg: 92.5016, loss: 0.1817 +2023-03-04 09:47:35,915 - mmseg - INFO - Iter [129600/160000] lr: 2.344e-06, eta: 2:01:29, time: 0.197, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1877, decode.acc_seg: 92.3780, loss: 0.1877 +2023-03-04 09:47:45,421 - mmseg - INFO - Iter [129650/160000] lr: 2.344e-06, eta: 2:01:16, time: 0.190, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1833, decode.acc_seg: 92.5850, loss: 0.1833 +2023-03-04 09:47:55,038 - mmseg - INFO - Iter [129700/160000] lr: 2.344e-06, eta: 2:01:04, time: 0.192, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1828, decode.acc_seg: 92.4737, loss: 0.1828 +2023-03-04 09:48:04,889 - mmseg - INFO - Iter [129750/160000] lr: 2.344e-06, eta: 2:00:51, time: 0.197, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1833, decode.acc_seg: 92.3996, loss: 0.1833 +2023-03-04 09:48:14,540 - mmseg - INFO - Iter [129800/160000] lr: 2.344e-06, eta: 2:00:39, time: 0.193, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1922, decode.acc_seg: 92.1542, loss: 0.1922 +2023-03-04 09:48:24,219 - mmseg - INFO - Iter [129850/160000] lr: 2.344e-06, eta: 2:00:26, time: 0.194, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1858, decode.acc_seg: 92.3854, loss: 0.1858 +2023-03-04 09:48:33,788 - mmseg - INFO - Iter [129900/160000] lr: 2.344e-06, eta: 2:00:14, time: 0.191, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1839, decode.acc_seg: 92.3042, loss: 0.1839 +2023-03-04 09:48:43,509 - mmseg - INFO - Iter [129950/160000] lr: 2.344e-06, eta: 2:00:01, time: 0.194, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1841, decode.acc_seg: 92.5355, loss: 0.1841 +2023-03-04 09:48:55,482 - mmseg - INFO - Exp name: ablation_segformer_mit_b2_segformer_head_unet_fc_small_multi_step_ade_pretrained_freeze_embed_160k_ade20k151_finetune_ema_cos.py +2023-03-04 09:48:55,482 - mmseg - INFO - Iter [130000/160000] lr: 2.344e-06, eta: 1:59:49, time: 0.239, data_time: 0.053, memory: 52540, decode.loss_ce: 0.1798, decode.acc_seg: 92.5573, loss: 0.1798 +2023-03-04 09:49:05,028 - mmseg - INFO - Iter [130050/160000] lr: 2.344e-06, eta: 1:59:37, time: 0.191, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1852, decode.acc_seg: 92.4766, loss: 0.1852 +2023-03-04 09:49:14,885 - mmseg - INFO - Iter [130100/160000] lr: 2.344e-06, eta: 1:59:24, time: 0.197, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1747, decode.acc_seg: 92.8893, loss: 0.1747 +2023-03-04 09:49:24,807 - mmseg - INFO - Iter [130150/160000] lr: 2.344e-06, eta: 1:59:12, time: 0.198, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1813, decode.acc_seg: 92.5750, loss: 0.1813 +2023-03-04 09:49:34,388 - mmseg - INFO - Iter [130200/160000] lr: 2.344e-06, eta: 1:58:59, time: 0.192, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1851, decode.acc_seg: 92.3770, loss: 0.1851 +2023-03-04 09:49:44,152 - mmseg - INFO - Iter [130250/160000] lr: 2.344e-06, eta: 1:58:47, time: 0.195, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1910, decode.acc_seg: 92.1628, loss: 0.1910 +2023-03-04 09:49:53,862 - mmseg - INFO - Iter [130300/160000] lr: 2.344e-06, eta: 1:58:34, time: 0.194, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1819, decode.acc_seg: 92.5533, loss: 0.1819 +2023-03-04 09:50:03,746 - mmseg - INFO - Iter [130350/160000] lr: 2.344e-06, eta: 1:58:22, time: 0.198, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1874, decode.acc_seg: 92.1903, loss: 0.1874 +2023-03-04 09:50:13,278 - mmseg - INFO - Iter [130400/160000] lr: 2.344e-06, eta: 1:58:09, time: 0.191, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1882, decode.acc_seg: 92.1517, loss: 0.1882 +2023-03-04 09:50:22,808 - mmseg - INFO - Iter [130450/160000] lr: 2.344e-06, eta: 1:57:57, time: 0.191, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1842, decode.acc_seg: 92.3930, loss: 0.1842 +2023-03-04 09:50:32,470 - mmseg - INFO - Iter [130500/160000] lr: 2.344e-06, eta: 1:57:44, time: 0.193, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1889, decode.acc_seg: 92.3555, loss: 0.1889 +2023-03-04 09:50:42,004 - mmseg - INFO - Iter [130550/160000] lr: 2.344e-06, eta: 1:57:32, time: 0.191, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1808, decode.acc_seg: 92.5848, loss: 0.1808 +2023-03-04 09:50:51,827 - mmseg - INFO - Iter [130600/160000] lr: 2.344e-06, eta: 1:57:19, time: 0.196, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1822, decode.acc_seg: 92.5380, loss: 0.1822 +2023-03-04 09:51:04,026 - mmseg - INFO - Iter [130650/160000] lr: 2.344e-06, eta: 1:57:07, time: 0.244, data_time: 0.054, memory: 52540, decode.loss_ce: 0.1862, decode.acc_seg: 92.4142, loss: 0.1862 +2023-03-04 09:51:13,836 - mmseg - INFO - Iter [130700/160000] lr: 2.344e-06, eta: 1:56:55, time: 0.196, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1832, decode.acc_seg: 92.5741, loss: 0.1832 +2023-03-04 09:51:23,464 - mmseg - INFO - Iter [130750/160000] lr: 2.344e-06, eta: 1:56:42, time: 0.193, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1847, decode.acc_seg: 92.4516, loss: 0.1847 +2023-03-04 09:51:33,234 - mmseg - INFO - Iter [130800/160000] lr: 2.344e-06, eta: 1:56:30, time: 0.195, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1817, decode.acc_seg: 92.5160, loss: 0.1817 +2023-03-04 09:51:43,018 - mmseg - INFO - Iter [130850/160000] lr: 2.344e-06, eta: 1:56:17, time: 0.195, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1829, decode.acc_seg: 92.5353, loss: 0.1829 +2023-03-04 09:51:52,547 - mmseg - INFO - Iter [130900/160000] lr: 2.344e-06, eta: 1:56:05, time: 0.191, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1759, decode.acc_seg: 92.6726, loss: 0.1759 +2023-03-04 09:52:02,197 - mmseg - INFO - Iter [130950/160000] lr: 2.344e-06, eta: 1:55:52, time: 0.193, data_time: 0.006, memory: 52540, decode.loss_ce: 0.1854, decode.acc_seg: 92.3513, loss: 0.1854 +2023-03-04 09:52:11,849 - mmseg - INFO - Exp name: ablation_segformer_mit_b2_segformer_head_unet_fc_small_multi_step_ade_pretrained_freeze_embed_160k_ade20k151_finetune_ema_cos.py +2023-03-04 09:52:11,849 - mmseg - INFO - Iter [131000/160000] lr: 2.344e-06, eta: 1:55:40, time: 0.193, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1828, decode.acc_seg: 92.4539, loss: 0.1828 +2023-03-04 09:52:21,347 - mmseg - INFO - Iter [131050/160000] lr: 2.344e-06, eta: 1:55:27, time: 0.190, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1788, decode.acc_seg: 92.7296, loss: 0.1788 +2023-03-04 09:52:30,877 - mmseg - INFO - Iter [131100/160000] lr: 2.344e-06, eta: 1:55:15, time: 0.191, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1844, decode.acc_seg: 92.3464, loss: 0.1844 +2023-03-04 09:52:41,018 - mmseg - INFO - Iter [131150/160000] lr: 2.344e-06, eta: 1:55:02, time: 0.203, data_time: 0.006, memory: 52540, decode.loss_ce: 0.1778, decode.acc_seg: 92.6164, loss: 0.1778 +2023-03-04 09:52:50,791 - mmseg - INFO - Iter [131200/160000] lr: 2.344e-06, eta: 1:54:50, time: 0.196, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1814, decode.acc_seg: 92.4922, loss: 0.1814 +2023-03-04 09:53:02,957 - mmseg - INFO - Iter [131250/160000] lr: 2.344e-06, eta: 1:54:38, time: 0.243, data_time: 0.055, memory: 52540, decode.loss_ce: 0.1889, decode.acc_seg: 92.2317, loss: 0.1889 +2023-03-04 09:53:12,581 - mmseg - INFO - Iter [131300/160000] lr: 2.344e-06, eta: 1:54:26, time: 0.193, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1816, decode.acc_seg: 92.6067, loss: 0.1816 +2023-03-04 09:53:22,400 - mmseg - INFO - Iter [131350/160000] lr: 2.344e-06, eta: 1:54:13, time: 0.196, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1861, decode.acc_seg: 92.3582, loss: 0.1861 +2023-03-04 09:53:32,008 - mmseg - INFO - Iter [131400/160000] lr: 2.344e-06, eta: 1:54:01, time: 0.192, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1831, decode.acc_seg: 92.5403, loss: 0.1831 +2023-03-04 09:53:41,868 - mmseg - INFO - Iter [131450/160000] lr: 2.344e-06, eta: 1:53:48, time: 0.197, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1775, decode.acc_seg: 92.6906, loss: 0.1775 +2023-03-04 09:53:51,449 - mmseg - INFO - Iter [131500/160000] lr: 2.344e-06, eta: 1:53:36, time: 0.192, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1786, decode.acc_seg: 92.6104, loss: 0.1786 +2023-03-04 09:54:01,006 - mmseg - INFO - Iter [131550/160000] lr: 2.344e-06, eta: 1:53:23, time: 0.191, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1839, decode.acc_seg: 92.4761, loss: 0.1839 +2023-03-04 09:54:10,903 - mmseg - INFO - Iter [131600/160000] lr: 2.344e-06, eta: 1:53:11, time: 0.198, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1839, decode.acc_seg: 92.3921, loss: 0.1839 +2023-03-04 09:54:20,525 - mmseg - INFO - Iter [131650/160000] lr: 2.344e-06, eta: 1:52:59, time: 0.192, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1865, decode.acc_seg: 92.3028, loss: 0.1865 +2023-03-04 09:54:30,355 - mmseg - INFO - Iter [131700/160000] lr: 2.344e-06, eta: 1:52:46, time: 0.196, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1912, decode.acc_seg: 92.1352, loss: 0.1912 +2023-03-04 09:54:40,126 - mmseg - INFO - Iter [131750/160000] lr: 2.344e-06, eta: 1:52:34, time: 0.196, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1786, decode.acc_seg: 92.5922, loss: 0.1786 +2023-03-04 09:54:49,626 - mmseg - INFO - Iter [131800/160000] lr: 2.344e-06, eta: 1:52:21, time: 0.190, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1848, decode.acc_seg: 92.3559, loss: 0.1848 +2023-03-04 09:54:59,375 - mmseg - INFO - Iter [131850/160000] lr: 2.344e-06, eta: 1:52:09, time: 0.195, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1943, decode.acc_seg: 92.0188, loss: 0.1943 +2023-03-04 09:55:11,695 - mmseg - INFO - Iter [131900/160000] lr: 2.344e-06, eta: 1:51:57, time: 0.246, data_time: 0.055, memory: 52540, decode.loss_ce: 0.1859, decode.acc_seg: 92.4207, loss: 0.1859 +2023-03-04 09:55:21,543 - mmseg - INFO - Iter [131950/160000] lr: 2.344e-06, eta: 1:51:45, time: 0.197, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1834, decode.acc_seg: 92.4163, loss: 0.1834 +2023-03-04 09:55:31,307 - mmseg - INFO - Exp name: ablation_segformer_mit_b2_segformer_head_unet_fc_small_multi_step_ade_pretrained_freeze_embed_160k_ade20k151_finetune_ema_cos.py +2023-03-04 09:55:31,307 - mmseg - INFO - Iter [132000/160000] lr: 2.344e-06, eta: 1:51:32, time: 0.195, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1821, decode.acc_seg: 92.4130, loss: 0.1821 +2023-03-04 09:55:40,884 - mmseg - INFO - Iter [132050/160000] lr: 2.344e-06, eta: 1:51:20, time: 0.192, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1807, decode.acc_seg: 92.5888, loss: 0.1807 +2023-03-04 09:55:50,484 - mmseg - INFO - Iter [132100/160000] lr: 2.344e-06, eta: 1:51:07, time: 0.192, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1818, decode.acc_seg: 92.4209, loss: 0.1818 +2023-03-04 09:56:00,167 - mmseg - INFO - Iter [132150/160000] lr: 2.344e-06, eta: 1:50:55, time: 0.194, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1839, decode.acc_seg: 92.4266, loss: 0.1839 +2023-03-04 09:56:09,811 - mmseg - INFO - Iter [132200/160000] lr: 2.344e-06, eta: 1:50:42, time: 0.193, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1828, decode.acc_seg: 92.4914, loss: 0.1828 +2023-03-04 09:56:19,641 - mmseg - INFO - Iter [132250/160000] lr: 2.344e-06, eta: 1:50:30, time: 0.196, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1813, decode.acc_seg: 92.3967, loss: 0.1813 +2023-03-04 09:56:29,735 - mmseg - INFO - Iter [132300/160000] lr: 2.344e-06, eta: 1:50:18, time: 0.202, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1883, decode.acc_seg: 92.2573, loss: 0.1883 +2023-03-04 09:56:39,330 - mmseg - INFO - Iter [132350/160000] lr: 2.344e-06, eta: 1:50:05, time: 0.192, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1819, decode.acc_seg: 92.5939, loss: 0.1819 +2023-03-04 09:56:49,019 - mmseg - INFO - Iter [132400/160000] lr: 2.344e-06, eta: 1:49:53, time: 0.194, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1802, decode.acc_seg: 92.4076, loss: 0.1802 +2023-03-04 09:56:58,982 - mmseg - INFO - Iter [132450/160000] lr: 2.344e-06, eta: 1:49:40, time: 0.199, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1893, decode.acc_seg: 92.3318, loss: 0.1893 +2023-03-04 09:57:08,642 - mmseg - INFO - Iter [132500/160000] lr: 2.344e-06, eta: 1:49:28, time: 0.193, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1784, decode.acc_seg: 92.5274, loss: 0.1784 +2023-03-04 09:57:20,969 - mmseg - INFO - Iter [132550/160000] lr: 2.344e-06, eta: 1:49:16, time: 0.247, data_time: 0.054, memory: 52540, decode.loss_ce: 0.1769, decode.acc_seg: 92.7669, loss: 0.1769 +2023-03-04 09:57:30,779 - mmseg - INFO - Iter [132600/160000] lr: 2.344e-06, eta: 1:49:04, time: 0.196, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1884, decode.acc_seg: 92.2099, loss: 0.1884 +2023-03-04 09:57:40,366 - mmseg - INFO - Iter [132650/160000] lr: 2.344e-06, eta: 1:48:51, time: 0.192, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1847, decode.acc_seg: 92.4118, loss: 0.1847 +2023-03-04 09:57:50,124 - mmseg - INFO - Iter [132700/160000] lr: 2.344e-06, eta: 1:48:39, time: 0.195, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1832, decode.acc_seg: 92.4052, loss: 0.1832 +2023-03-04 09:57:59,779 - mmseg - INFO - Iter [132750/160000] lr: 2.344e-06, eta: 1:48:26, time: 0.193, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1845, decode.acc_seg: 92.3725, loss: 0.1845 +2023-03-04 09:58:09,456 - mmseg - INFO - Iter [132800/160000] lr: 2.344e-06, eta: 1:48:14, time: 0.194, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1917, decode.acc_seg: 92.0819, loss: 0.1917 +2023-03-04 09:58:19,114 - mmseg - INFO - Iter [132850/160000] lr: 2.344e-06, eta: 1:48:02, time: 0.193, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1753, decode.acc_seg: 92.8309, loss: 0.1753 +2023-03-04 09:58:28,652 - mmseg - INFO - Iter [132900/160000] lr: 2.344e-06, eta: 1:47:49, time: 0.191, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1802, decode.acc_seg: 92.6037, loss: 0.1802 +2023-03-04 09:58:38,409 - mmseg - INFO - Iter [132950/160000] lr: 2.344e-06, eta: 1:47:37, time: 0.195, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1898, decode.acc_seg: 92.1767, loss: 0.1898 +2023-03-04 09:58:48,029 - mmseg - INFO - Exp name: ablation_segformer_mit_b2_segformer_head_unet_fc_small_multi_step_ade_pretrained_freeze_embed_160k_ade20k151_finetune_ema_cos.py +2023-03-04 09:58:48,029 - mmseg - INFO - Iter [133000/160000] lr: 2.344e-06, eta: 1:47:24, time: 0.193, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1868, decode.acc_seg: 92.2768, loss: 0.1868 +2023-03-04 09:58:57,587 - mmseg - INFO - Iter [133050/160000] lr: 2.344e-06, eta: 1:47:12, time: 0.191, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1859, decode.acc_seg: 92.4413, loss: 0.1859 +2023-03-04 09:59:07,088 - mmseg - INFO - Iter [133100/160000] lr: 2.344e-06, eta: 1:47:00, time: 0.190, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1820, decode.acc_seg: 92.4097, loss: 0.1820 +2023-03-04 09:59:19,256 - mmseg - INFO - Iter [133150/160000] lr: 2.344e-06, eta: 1:46:48, time: 0.243, data_time: 0.054, memory: 52540, decode.loss_ce: 0.1884, decode.acc_seg: 92.2322, loss: 0.1884 +2023-03-04 09:59:29,066 - mmseg - INFO - Iter [133200/160000] lr: 2.344e-06, eta: 1:46:35, time: 0.196, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1815, decode.acc_seg: 92.5130, loss: 0.1815 +2023-03-04 09:59:38,868 - mmseg - INFO - Iter [133250/160000] lr: 2.344e-06, eta: 1:46:23, time: 0.196, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1853, decode.acc_seg: 92.2635, loss: 0.1853 +2023-03-04 09:59:48,365 - mmseg - INFO - Iter [133300/160000] lr: 2.344e-06, eta: 1:46:11, time: 0.190, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1832, decode.acc_seg: 92.3721, loss: 0.1832 +2023-03-04 09:59:58,126 - mmseg - INFO - Iter [133350/160000] lr: 2.344e-06, eta: 1:45:58, time: 0.195, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1923, decode.acc_seg: 92.2372, loss: 0.1923 +2023-03-04 10:00:08,082 - mmseg - INFO - Iter [133400/160000] lr: 2.344e-06, eta: 1:45:46, time: 0.199, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1888, decode.acc_seg: 92.2110, loss: 0.1888 +2023-03-04 10:00:17,732 - mmseg - INFO - Iter [133450/160000] lr: 2.344e-06, eta: 1:45:34, time: 0.193, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1862, decode.acc_seg: 92.3044, loss: 0.1862 +2023-03-04 10:00:27,427 - mmseg - INFO - Iter [133500/160000] lr: 2.344e-06, eta: 1:45:21, time: 0.194, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1857, decode.acc_seg: 92.3084, loss: 0.1857 +2023-03-04 10:00:36,992 - mmseg - INFO - Iter [133550/160000] lr: 2.344e-06, eta: 1:45:09, time: 0.191, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1781, decode.acc_seg: 92.7433, loss: 0.1781 +2023-03-04 10:00:46,677 - mmseg - INFO - Iter [133600/160000] lr: 2.344e-06, eta: 1:44:56, time: 0.194, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1941, decode.acc_seg: 92.0472, loss: 0.1941 +2023-03-04 10:00:56,211 - mmseg - INFO - Iter [133650/160000] lr: 2.344e-06, eta: 1:44:44, time: 0.191, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1814, decode.acc_seg: 92.4879, loss: 0.1814 +2023-03-04 10:01:06,106 - mmseg - INFO - Iter [133700/160000] lr: 2.344e-06, eta: 1:44:32, time: 0.198, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1944, decode.acc_seg: 92.0364, loss: 0.1944 +2023-03-04 10:01:15,600 - mmseg - INFO - Iter [133750/160000] lr: 2.344e-06, eta: 1:44:19, time: 0.190, data_time: 0.006, memory: 52540, decode.loss_ce: 0.1788, decode.acc_seg: 92.4724, loss: 0.1788 +2023-03-04 10:01:27,564 - mmseg - INFO - Iter [133800/160000] lr: 2.344e-06, eta: 1:44:07, time: 0.239, data_time: 0.054, memory: 52540, decode.loss_ce: 0.1758, decode.acc_seg: 92.7822, loss: 0.1758 +2023-03-04 10:01:37,305 - mmseg - INFO - Iter [133850/160000] lr: 2.344e-06, eta: 1:43:55, time: 0.195, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1832, decode.acc_seg: 92.3582, loss: 0.1832 +2023-03-04 10:01:46,972 - mmseg - INFO - Iter [133900/160000] lr: 2.344e-06, eta: 1:43:43, time: 0.193, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1853, decode.acc_seg: 92.1512, loss: 0.1853 +2023-03-04 10:01:56,569 - mmseg - INFO - Iter [133950/160000] lr: 2.344e-06, eta: 1:43:30, time: 0.192, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1869, decode.acc_seg: 92.3767, loss: 0.1869 +2023-03-04 10:02:06,193 - mmseg - INFO - Exp name: ablation_segformer_mit_b2_segformer_head_unet_fc_small_multi_step_ade_pretrained_freeze_embed_160k_ade20k151_finetune_ema_cos.py +2023-03-04 10:02:06,193 - mmseg - INFO - Iter [134000/160000] lr: 2.344e-06, eta: 1:43:18, time: 0.192, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1835, decode.acc_seg: 92.4130, loss: 0.1835 +2023-03-04 10:02:15,775 - mmseg - INFO - Iter [134050/160000] lr: 2.344e-06, eta: 1:43:06, time: 0.192, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1901, decode.acc_seg: 92.2128, loss: 0.1901 +2023-03-04 10:02:25,326 - mmseg - INFO - Iter [134100/160000] lr: 2.344e-06, eta: 1:42:53, time: 0.191, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1808, decode.acc_seg: 92.5886, loss: 0.1808 +2023-03-04 10:02:35,012 - mmseg - INFO - Iter [134150/160000] lr: 2.344e-06, eta: 1:42:41, time: 0.194, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1929, decode.acc_seg: 92.2392, loss: 0.1929 +2023-03-04 10:02:44,516 - mmseg - INFO - Iter [134200/160000] lr: 2.344e-06, eta: 1:42:28, time: 0.190, data_time: 0.006, memory: 52540, decode.loss_ce: 0.1866, decode.acc_seg: 92.2958, loss: 0.1866 +2023-03-04 10:02:54,082 - mmseg - INFO - Iter [134250/160000] lr: 2.344e-06, eta: 1:42:16, time: 0.191, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1805, decode.acc_seg: 92.5732, loss: 0.1805 +2023-03-04 10:03:03,878 - mmseg - INFO - Iter [134300/160000] lr: 2.344e-06, eta: 1:42:04, time: 0.196, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1856, decode.acc_seg: 92.3130, loss: 0.1856 +2023-03-04 10:03:13,707 - mmseg - INFO - Iter [134350/160000] lr: 2.344e-06, eta: 1:41:51, time: 0.197, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1824, decode.acc_seg: 92.4514, loss: 0.1824 +2023-03-04 10:03:23,334 - mmseg - INFO - Iter [134400/160000] lr: 2.344e-06, eta: 1:41:39, time: 0.193, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1854, decode.acc_seg: 92.2060, loss: 0.1854 +2023-03-04 10:03:35,527 - mmseg - INFO - Iter [134450/160000] lr: 2.344e-06, eta: 1:41:27, time: 0.244, data_time: 0.055, memory: 52540, decode.loss_ce: 0.1900, decode.acc_seg: 92.2632, loss: 0.1900 +2023-03-04 10:03:45,099 - mmseg - INFO - Iter [134500/160000] lr: 2.344e-06, eta: 1:41:15, time: 0.191, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1777, decode.acc_seg: 92.6397, loss: 0.1777 +2023-03-04 10:03:54,893 - mmseg - INFO - Iter [134550/160000] lr: 2.344e-06, eta: 1:41:03, time: 0.196, data_time: 0.006, memory: 52540, decode.loss_ce: 0.1846, decode.acc_seg: 92.3253, loss: 0.1846 +2023-03-04 10:04:04,855 - mmseg - INFO - Iter [134600/160000] lr: 2.344e-06, eta: 1:40:50, time: 0.199, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1812, decode.acc_seg: 92.5756, loss: 0.1812 +2023-03-04 10:04:14,555 - mmseg - INFO - Iter [134650/160000] lr: 2.344e-06, eta: 1:40:38, time: 0.194, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1843, decode.acc_seg: 92.4092, loss: 0.1843 +2023-03-04 10:04:24,555 - mmseg - INFO - Iter [134700/160000] lr: 2.344e-06, eta: 1:40:26, time: 0.200, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1855, decode.acc_seg: 92.4447, loss: 0.1855 +2023-03-04 10:04:34,456 - mmseg - INFO - Iter [134750/160000] lr: 2.344e-06, eta: 1:40:13, time: 0.198, data_time: 0.006, memory: 52540, decode.loss_ce: 0.1858, decode.acc_seg: 92.3446, loss: 0.1858 +2023-03-04 10:04:44,033 - mmseg - INFO - Iter [134800/160000] lr: 2.344e-06, eta: 1:40:01, time: 0.192, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1817, decode.acc_seg: 92.4102, loss: 0.1817 +2023-03-04 10:04:53,714 - mmseg - INFO - Iter [134850/160000] lr: 2.344e-06, eta: 1:39:49, time: 0.194, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1895, decode.acc_seg: 92.2007, loss: 0.1895 +2023-03-04 10:05:03,298 - mmseg - INFO - Iter [134900/160000] lr: 2.344e-06, eta: 1:39:36, time: 0.192, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1844, decode.acc_seg: 92.6147, loss: 0.1844 +2023-03-04 10:05:13,030 - mmseg - INFO - Iter [134950/160000] lr: 2.344e-06, eta: 1:39:24, time: 0.195, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1858, decode.acc_seg: 92.3631, loss: 0.1858 +2023-03-04 10:05:22,675 - mmseg - INFO - Exp name: ablation_segformer_mit_b2_segformer_head_unet_fc_small_multi_step_ade_pretrained_freeze_embed_160k_ade20k151_finetune_ema_cos.py +2023-03-04 10:05:22,675 - mmseg - INFO - Iter [135000/160000] lr: 2.344e-06, eta: 1:39:12, time: 0.193, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1879, decode.acc_seg: 92.3840, loss: 0.1879 +2023-03-04 10:05:34,814 - mmseg - INFO - Iter [135050/160000] lr: 2.344e-06, eta: 1:39:00, time: 0.243, data_time: 0.055, memory: 52540, decode.loss_ce: 0.1830, decode.acc_seg: 92.3943, loss: 0.1830 +2023-03-04 10:05:44,629 - mmseg - INFO - Iter [135100/160000] lr: 2.344e-06, eta: 1:38:48, time: 0.196, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1767, decode.acc_seg: 92.6722, loss: 0.1767 +2023-03-04 10:05:54,267 - mmseg - INFO - Iter [135150/160000] lr: 2.344e-06, eta: 1:38:35, time: 0.193, data_time: 0.006, memory: 52540, decode.loss_ce: 0.1862, decode.acc_seg: 92.2542, loss: 0.1862 +2023-03-04 10:06:04,181 - mmseg - INFO - Iter [135200/160000] lr: 2.344e-06, eta: 1:38:23, time: 0.198, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1801, decode.acc_seg: 92.6423, loss: 0.1801 +2023-03-04 10:06:14,081 - mmseg - INFO - Iter [135250/160000] lr: 2.344e-06, eta: 1:38:11, time: 0.198, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1889, decode.acc_seg: 92.2158, loss: 0.1889 +2023-03-04 10:06:23,705 - mmseg - INFO - Iter [135300/160000] lr: 2.344e-06, eta: 1:37:58, time: 0.192, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1792, decode.acc_seg: 92.6671, loss: 0.1792 +2023-03-04 10:06:33,504 - mmseg - INFO - Iter [135350/160000] lr: 2.344e-06, eta: 1:37:46, time: 0.196, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1925, decode.acc_seg: 92.2049, loss: 0.1925 +2023-03-04 10:06:43,207 - mmseg - INFO - Iter [135400/160000] lr: 2.344e-06, eta: 1:37:34, time: 0.194, data_time: 0.006, memory: 52540, decode.loss_ce: 0.1795, decode.acc_seg: 92.5892, loss: 0.1795 +2023-03-04 10:06:52,923 - mmseg - INFO - Iter [135450/160000] lr: 2.344e-06, eta: 1:37:22, time: 0.194, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1891, decode.acc_seg: 92.3132, loss: 0.1891 +2023-03-04 10:07:02,679 - mmseg - INFO - Iter [135500/160000] lr: 2.344e-06, eta: 1:37:09, time: 0.195, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1834, decode.acc_seg: 92.3834, loss: 0.1834 +2023-03-04 10:07:12,169 - mmseg - INFO - Iter [135550/160000] lr: 2.344e-06, eta: 1:36:57, time: 0.190, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1796, decode.acc_seg: 92.5598, loss: 0.1796 +2023-03-04 10:07:22,259 - mmseg - INFO - Iter [135600/160000] lr: 2.344e-06, eta: 1:36:45, time: 0.202, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1904, decode.acc_seg: 92.3563, loss: 0.1904 +2023-03-04 10:07:32,262 - mmseg - INFO - Iter [135650/160000] lr: 2.344e-06, eta: 1:36:32, time: 0.200, data_time: 0.006, memory: 52540, decode.loss_ce: 0.1863, decode.acc_seg: 92.2724, loss: 0.1863 +2023-03-04 10:07:44,348 - mmseg - INFO - Iter [135700/160000] lr: 2.344e-06, eta: 1:36:21, time: 0.242, data_time: 0.054, memory: 52540, decode.loss_ce: 0.1784, decode.acc_seg: 92.5885, loss: 0.1784 +2023-03-04 10:07:53,977 - mmseg - INFO - Iter [135750/160000] lr: 2.344e-06, eta: 1:36:08, time: 0.193, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1793, decode.acc_seg: 92.6594, loss: 0.1793 +2023-03-04 10:08:03,901 - mmseg - INFO - Iter [135800/160000] lr: 2.344e-06, eta: 1:35:56, time: 0.198, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1803, decode.acc_seg: 92.6310, loss: 0.1803 +2023-03-04 10:08:13,492 - mmseg - INFO - Iter [135850/160000] lr: 2.344e-06, eta: 1:35:44, time: 0.192, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1843, decode.acc_seg: 92.5223, loss: 0.1843 +2023-03-04 10:08:23,787 - mmseg - INFO - Iter [135900/160000] lr: 2.344e-06, eta: 1:35:32, time: 0.206, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1775, decode.acc_seg: 92.6349, loss: 0.1775 +2023-03-04 10:08:33,605 - mmseg - INFO - Iter [135950/160000] lr: 2.344e-06, eta: 1:35:19, time: 0.196, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1892, decode.acc_seg: 92.2589, loss: 0.1892 +2023-03-04 10:08:43,149 - mmseg - INFO - Exp name: ablation_segformer_mit_b2_segformer_head_unet_fc_small_multi_step_ade_pretrained_freeze_embed_160k_ade20k151_finetune_ema_cos.py +2023-03-04 10:08:43,149 - mmseg - INFO - Iter [136000/160000] lr: 2.344e-06, eta: 1:35:07, time: 0.191, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1863, decode.acc_seg: 92.2195, loss: 0.1863 +2023-03-04 10:08:53,019 - mmseg - INFO - Iter [136050/160000] lr: 2.344e-06, eta: 1:34:55, time: 0.197, data_time: 0.006, memory: 52540, decode.loss_ce: 0.1834, decode.acc_seg: 92.4959, loss: 0.1834 +2023-03-04 10:09:02,935 - mmseg - INFO - Iter [136100/160000] lr: 2.344e-06, eta: 1:34:43, time: 0.198, data_time: 0.006, memory: 52540, decode.loss_ce: 0.1841, decode.acc_seg: 92.5458, loss: 0.1841 +2023-03-04 10:09:12,563 - mmseg - INFO - Iter [136150/160000] lr: 2.344e-06, eta: 1:34:30, time: 0.193, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1872, decode.acc_seg: 92.2619, loss: 0.1872 +2023-03-04 10:09:22,062 - mmseg - INFO - Iter [136200/160000] lr: 2.344e-06, eta: 1:34:18, time: 0.190, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1886, decode.acc_seg: 92.3377, loss: 0.1886 +2023-03-04 10:09:31,886 - mmseg - INFO - Iter [136250/160000] lr: 2.344e-06, eta: 1:34:06, time: 0.196, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1907, decode.acc_seg: 92.2650, loss: 0.1907 +2023-03-04 10:09:44,154 - mmseg - INFO - Iter [136300/160000] lr: 2.344e-06, eta: 1:33:54, time: 0.245, data_time: 0.054, memory: 52540, decode.loss_ce: 0.1873, decode.acc_seg: 92.2835, loss: 0.1873 +2023-03-04 10:09:54,009 - mmseg - INFO - Iter [136350/160000] lr: 2.344e-06, eta: 1:33:42, time: 0.197, data_time: 0.006, memory: 52540, decode.loss_ce: 0.1831, decode.acc_seg: 92.4651, loss: 0.1831 +2023-03-04 10:10:03,535 - mmseg - INFO - Iter [136400/160000] lr: 2.344e-06, eta: 1:33:29, time: 0.191, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1859, decode.acc_seg: 92.3565, loss: 0.1859 +2023-03-04 10:10:13,515 - mmseg - INFO - Iter [136450/160000] lr: 2.344e-06, eta: 1:33:17, time: 0.200, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1859, decode.acc_seg: 92.2927, loss: 0.1859 +2023-03-04 10:10:23,175 - mmseg - INFO - Iter [136500/160000] lr: 2.344e-06, eta: 1:33:05, time: 0.193, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1877, decode.acc_seg: 92.4025, loss: 0.1877 +2023-03-04 10:10:32,803 - mmseg - INFO - Iter [136550/160000] lr: 2.344e-06, eta: 1:32:53, time: 0.193, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1874, decode.acc_seg: 92.3637, loss: 0.1874 +2023-03-04 10:10:42,490 - mmseg - INFO - Iter [136600/160000] lr: 2.344e-06, eta: 1:32:40, time: 0.194, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1840, decode.acc_seg: 92.4598, loss: 0.1840 +2023-03-04 10:10:52,050 - mmseg - INFO - Iter [136650/160000] lr: 2.344e-06, eta: 1:32:28, time: 0.191, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1895, decode.acc_seg: 92.2278, loss: 0.1895 +2023-03-04 10:11:01,683 - mmseg - INFO - Iter [136700/160000] lr: 2.344e-06, eta: 1:32:16, time: 0.193, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1929, decode.acc_seg: 92.2916, loss: 0.1929 +2023-03-04 10:11:11,472 - mmseg - INFO - Iter [136750/160000] lr: 2.344e-06, eta: 1:32:04, time: 0.196, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1828, decode.acc_seg: 92.4699, loss: 0.1828 +2023-03-04 10:11:21,005 - mmseg - INFO - Iter [136800/160000] lr: 2.344e-06, eta: 1:31:51, time: 0.191, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1816, decode.acc_seg: 92.5356, loss: 0.1816 +2023-03-04 10:11:30,943 - mmseg - INFO - Iter [136850/160000] lr: 2.344e-06, eta: 1:31:39, time: 0.199, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1887, decode.acc_seg: 92.1533, loss: 0.1887 +2023-03-04 10:11:40,551 - mmseg - INFO - Iter [136900/160000] lr: 2.344e-06, eta: 1:31:27, time: 0.192, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1809, decode.acc_seg: 92.5149, loss: 0.1809 +2023-03-04 10:11:52,724 - mmseg - INFO - Iter [136950/160000] lr: 2.344e-06, eta: 1:31:15, time: 0.243, data_time: 0.051, memory: 52540, decode.loss_ce: 0.1852, decode.acc_seg: 92.4303, loss: 0.1852 +2023-03-04 10:12:02,318 - mmseg - INFO - Exp name: ablation_segformer_mit_b2_segformer_head_unet_fc_small_multi_step_ade_pretrained_freeze_embed_160k_ade20k151_finetune_ema_cos.py +2023-03-04 10:12:02,318 - mmseg - INFO - Iter [137000/160000] lr: 2.344e-06, eta: 1:31:03, time: 0.192, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1838, decode.acc_seg: 92.4260, loss: 0.1838 +2023-03-04 10:12:12,038 - mmseg - INFO - Iter [137050/160000] lr: 2.344e-06, eta: 1:30:50, time: 0.194, data_time: 0.006, memory: 52540, decode.loss_ce: 0.1870, decode.acc_seg: 92.2554, loss: 0.1870 +2023-03-04 10:12:21,820 - mmseg - INFO - Iter [137100/160000] lr: 2.344e-06, eta: 1:30:38, time: 0.196, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1903, decode.acc_seg: 92.0820, loss: 0.1903 +2023-03-04 10:12:31,537 - mmseg - INFO - Iter [137150/160000] lr: 2.344e-06, eta: 1:30:26, time: 0.194, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1905, decode.acc_seg: 92.2551, loss: 0.1905 +2023-03-04 10:12:41,286 - mmseg - INFO - Iter [137200/160000] lr: 2.344e-06, eta: 1:30:14, time: 0.195, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1782, decode.acc_seg: 92.6928, loss: 0.1782 +2023-03-04 10:12:50,875 - mmseg - INFO - Iter [137250/160000] lr: 2.344e-06, eta: 1:30:02, time: 0.192, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1883, decode.acc_seg: 92.2508, loss: 0.1883 +2023-03-04 10:13:00,425 - mmseg - INFO - Iter [137300/160000] lr: 2.344e-06, eta: 1:29:49, time: 0.191, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1877, decode.acc_seg: 92.3439, loss: 0.1877 +2023-03-04 10:13:09,978 - mmseg - INFO - Iter [137350/160000] lr: 2.344e-06, eta: 1:29:37, time: 0.191, data_time: 0.006, memory: 52540, decode.loss_ce: 0.1870, decode.acc_seg: 92.4348, loss: 0.1870 +2023-03-04 10:13:19,657 - mmseg - INFO - Iter [137400/160000] lr: 2.344e-06, eta: 1:29:25, time: 0.194, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1744, decode.acc_seg: 92.7119, loss: 0.1744 +2023-03-04 10:13:29,155 - mmseg - INFO - Iter [137450/160000] lr: 2.344e-06, eta: 1:29:13, time: 0.190, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1814, decode.acc_seg: 92.6122, loss: 0.1814 +2023-03-04 10:13:38,918 - mmseg - INFO - Iter [137500/160000] lr: 2.344e-06, eta: 1:29:00, time: 0.195, data_time: 0.006, memory: 52540, decode.loss_ce: 0.1963, decode.acc_seg: 91.9028, loss: 0.1963 +2023-03-04 10:13:48,563 - mmseg - INFO - Iter [137550/160000] lr: 2.344e-06, eta: 1:28:48, time: 0.193, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1832, decode.acc_seg: 92.3119, loss: 0.1832 +2023-03-04 10:14:00,686 - mmseg - INFO - Iter [137600/160000] lr: 2.344e-06, eta: 1:28:36, time: 0.242, data_time: 0.053, memory: 52540, decode.loss_ce: 0.1790, decode.acc_seg: 92.5811, loss: 0.1790 +2023-03-04 10:14:10,279 - mmseg - INFO - Iter [137650/160000] lr: 2.344e-06, eta: 1:28:24, time: 0.192, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1835, decode.acc_seg: 92.2936, loss: 0.1835 +2023-03-04 10:14:19,872 - mmseg - INFO - Iter [137700/160000] lr: 2.344e-06, eta: 1:28:12, time: 0.192, data_time: 0.006, memory: 52540, decode.loss_ce: 0.1900, decode.acc_seg: 92.2694, loss: 0.1900 +2023-03-04 10:14:29,654 - mmseg - INFO - Iter [137750/160000] lr: 2.344e-06, eta: 1:28:00, time: 0.196, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1758, decode.acc_seg: 92.7711, loss: 0.1758 +2023-03-04 10:14:39,373 - mmseg - INFO - Iter [137800/160000] lr: 2.344e-06, eta: 1:27:47, time: 0.194, data_time: 0.006, memory: 52540, decode.loss_ce: 0.1852, decode.acc_seg: 92.3739, loss: 0.1852 +2023-03-04 10:14:49,015 - mmseg - INFO - Iter [137850/160000] lr: 2.344e-06, eta: 1:27:35, time: 0.193, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1866, decode.acc_seg: 92.5187, loss: 0.1866 +2023-03-04 10:14:58,786 - mmseg - INFO - Iter [137900/160000] lr: 2.344e-06, eta: 1:27:23, time: 0.195, data_time: 0.006, memory: 52540, decode.loss_ce: 0.1838, decode.acc_seg: 92.4234, loss: 0.1838 +2023-03-04 10:15:08,378 - mmseg - INFO - Iter [137950/160000] lr: 2.344e-06, eta: 1:27:11, time: 0.192, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1945, decode.acc_seg: 92.1990, loss: 0.1945 +2023-03-04 10:15:18,052 - mmseg - INFO - Exp name: ablation_segformer_mit_b2_segformer_head_unet_fc_small_multi_step_ade_pretrained_freeze_embed_160k_ade20k151_finetune_ema_cos.py +2023-03-04 10:15:18,052 - mmseg - INFO - Iter [138000/160000] lr: 2.344e-06, eta: 1:26:59, time: 0.193, data_time: 0.006, memory: 52540, decode.loss_ce: 0.1885, decode.acc_seg: 92.2140, loss: 0.1885 +2023-03-04 10:15:27,625 - mmseg - INFO - Iter [138050/160000] lr: 2.344e-06, eta: 1:26:46, time: 0.191, data_time: 0.006, memory: 52540, decode.loss_ce: 0.1817, decode.acc_seg: 92.5081, loss: 0.1817 +2023-03-04 10:15:37,392 - mmseg - INFO - Iter [138100/160000] lr: 2.344e-06, eta: 1:26:34, time: 0.196, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1908, decode.acc_seg: 92.1808, loss: 0.1908 +2023-03-04 10:15:46,959 - mmseg - INFO - Iter [138150/160000] lr: 2.344e-06, eta: 1:26:22, time: 0.191, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1858, decode.acc_seg: 92.4244, loss: 0.1858 +2023-03-04 10:15:58,947 - mmseg - INFO - Iter [138200/160000] lr: 2.344e-06, eta: 1:26:10, time: 0.240, data_time: 0.056, memory: 52540, decode.loss_ce: 0.1817, decode.acc_seg: 92.5232, loss: 0.1817 +2023-03-04 10:16:08,483 - mmseg - INFO - Iter [138250/160000] lr: 2.344e-06, eta: 1:25:58, time: 0.191, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1822, decode.acc_seg: 92.6407, loss: 0.1822 +2023-03-04 10:16:18,045 - mmseg - INFO - Iter [138300/160000] lr: 2.344e-06, eta: 1:25:46, time: 0.191, data_time: 0.006, memory: 52540, decode.loss_ce: 0.1829, decode.acc_seg: 92.5447, loss: 0.1829 +2023-03-04 10:16:27,724 - mmseg - INFO - Iter [138350/160000] lr: 2.344e-06, eta: 1:25:33, time: 0.194, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1802, decode.acc_seg: 92.6922, loss: 0.1802 +2023-03-04 10:16:37,424 - mmseg - INFO - Iter [138400/160000] lr: 2.344e-06, eta: 1:25:21, time: 0.194, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1799, decode.acc_seg: 92.5652, loss: 0.1799 +2023-03-04 10:16:47,144 - mmseg - INFO - Iter [138450/160000] lr: 2.344e-06, eta: 1:25:09, time: 0.194, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1808, decode.acc_seg: 92.6535, loss: 0.1808 +2023-03-04 10:16:56,984 - mmseg - INFO - Iter [138500/160000] lr: 2.344e-06, eta: 1:24:57, time: 0.197, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1847, decode.acc_seg: 92.3454, loss: 0.1847 +2023-03-04 10:17:06,572 - mmseg - INFO - Iter [138550/160000] lr: 2.344e-06, eta: 1:24:45, time: 0.192, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1760, decode.acc_seg: 92.5482, loss: 0.1760 +2023-03-04 10:17:16,131 - mmseg - INFO - Iter [138600/160000] lr: 2.344e-06, eta: 1:24:32, time: 0.191, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1883, decode.acc_seg: 92.1709, loss: 0.1883 +2023-03-04 10:17:25,963 - mmseg - INFO - Iter [138650/160000] lr: 2.344e-06, eta: 1:24:20, time: 0.197, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1818, decode.acc_seg: 92.5231, loss: 0.1818 +2023-03-04 10:17:35,721 - mmseg - INFO - Iter [138700/160000] lr: 2.344e-06, eta: 1:24:08, time: 0.195, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1845, decode.acc_seg: 92.4048, loss: 0.1845 +2023-03-04 10:17:45,205 - mmseg - INFO - Iter [138750/160000] lr: 2.344e-06, eta: 1:23:56, time: 0.190, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1852, decode.acc_seg: 92.3093, loss: 0.1852 +2023-03-04 10:17:55,155 - mmseg - INFO - Iter [138800/160000] lr: 2.344e-06, eta: 1:23:44, time: 0.199, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1832, decode.acc_seg: 92.4271, loss: 0.1832 +2023-03-04 10:18:07,436 - mmseg - INFO - Iter [138850/160000] lr: 2.344e-06, eta: 1:23:32, time: 0.246, data_time: 0.055, memory: 52540, decode.loss_ce: 0.1839, decode.acc_seg: 92.3927, loss: 0.1839 +2023-03-04 10:18:17,065 - mmseg - INFO - Iter [138900/160000] lr: 2.344e-06, eta: 1:23:20, time: 0.193, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1868, decode.acc_seg: 92.3650, loss: 0.1868 +2023-03-04 10:18:26,593 - mmseg - INFO - Iter [138950/160000] lr: 2.344e-06, eta: 1:23:08, time: 0.191, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1844, decode.acc_seg: 92.5633, loss: 0.1844 +2023-03-04 10:18:36,201 - mmseg - INFO - Exp name: ablation_segformer_mit_b2_segformer_head_unet_fc_small_multi_step_ade_pretrained_freeze_embed_160k_ade20k151_finetune_ema_cos.py +2023-03-04 10:18:36,201 - mmseg - INFO - Iter [139000/160000] lr: 2.344e-06, eta: 1:22:55, time: 0.192, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1849, decode.acc_seg: 92.3894, loss: 0.1849 +2023-03-04 10:18:45,917 - mmseg - INFO - Iter [139050/160000] lr: 2.344e-06, eta: 1:22:43, time: 0.194, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1858, decode.acc_seg: 92.3003, loss: 0.1858 +2023-03-04 10:18:55,390 - mmseg - INFO - Iter [139100/160000] lr: 2.344e-06, eta: 1:22:31, time: 0.189, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1939, decode.acc_seg: 92.0685, loss: 0.1939 +2023-03-04 10:19:05,115 - mmseg - INFO - Iter [139150/160000] lr: 2.344e-06, eta: 1:22:19, time: 0.194, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1858, decode.acc_seg: 92.4143, loss: 0.1858 +2023-03-04 10:19:14,702 - mmseg - INFO - Iter [139200/160000] lr: 2.344e-06, eta: 1:22:07, time: 0.192, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1817, decode.acc_seg: 92.5535, loss: 0.1817 +2023-03-04 10:19:24,433 - mmseg - INFO - Iter [139250/160000] lr: 2.344e-06, eta: 1:21:55, time: 0.195, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1866, decode.acc_seg: 92.3875, loss: 0.1866 +2023-03-04 10:19:34,039 - mmseg - INFO - Iter [139300/160000] lr: 2.344e-06, eta: 1:21:42, time: 0.192, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1834, decode.acc_seg: 92.4297, loss: 0.1834 +2023-03-04 10:19:43,526 - mmseg - INFO - Iter [139350/160000] lr: 2.344e-06, eta: 1:21:30, time: 0.190, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1838, decode.acc_seg: 92.5896, loss: 0.1838 +2023-03-04 10:19:53,275 - mmseg - INFO - Iter [139400/160000] lr: 2.344e-06, eta: 1:21:18, time: 0.195, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1907, decode.acc_seg: 92.2862, loss: 0.1907 +2023-03-04 10:20:03,135 - mmseg - INFO - Iter [139450/160000] lr: 2.344e-06, eta: 1:21:06, time: 0.197, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1846, decode.acc_seg: 92.3361, loss: 0.1846 +2023-03-04 10:20:15,427 - mmseg - INFO - Iter [139500/160000] lr: 2.344e-06, eta: 1:20:54, time: 0.246, data_time: 0.054, memory: 52540, decode.loss_ce: 0.1824, decode.acc_seg: 92.4494, loss: 0.1824 +2023-03-04 10:20:24,960 - mmseg - INFO - Iter [139550/160000] lr: 2.344e-06, eta: 1:20:42, time: 0.191, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1978, decode.acc_seg: 92.0972, loss: 0.1978 +2023-03-04 10:20:34,569 - mmseg - INFO - Iter [139600/160000] lr: 2.344e-06, eta: 1:20:30, time: 0.192, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1806, decode.acc_seg: 92.5413, loss: 0.1806 +2023-03-04 10:20:44,284 - mmseg - INFO - Iter [139650/160000] lr: 2.344e-06, eta: 1:20:18, time: 0.194, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1808, decode.acc_seg: 92.5694, loss: 0.1808 +2023-03-04 10:20:53,959 - mmseg - INFO - Iter [139700/160000] lr: 2.344e-06, eta: 1:20:05, time: 0.193, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1832, decode.acc_seg: 92.6078, loss: 0.1832 +2023-03-04 10:21:03,600 - mmseg - INFO - Iter [139750/160000] lr: 2.344e-06, eta: 1:19:53, time: 0.193, data_time: 0.006, memory: 52540, decode.loss_ce: 0.1851, decode.acc_seg: 92.3703, loss: 0.1851 +2023-03-04 10:21:13,456 - mmseg - INFO - Iter [139800/160000] lr: 2.344e-06, eta: 1:19:41, time: 0.197, data_time: 0.006, memory: 52540, decode.loss_ce: 0.1816, decode.acc_seg: 92.5286, loss: 0.1816 +2023-03-04 10:21:22,973 - mmseg - INFO - Iter [139850/160000] lr: 2.344e-06, eta: 1:19:29, time: 0.190, data_time: 0.006, memory: 52540, decode.loss_ce: 0.1911, decode.acc_seg: 92.2327, loss: 0.1911 +2023-03-04 10:21:32,631 - mmseg - INFO - Iter [139900/160000] lr: 2.344e-06, eta: 1:19:17, time: 0.193, data_time: 0.006, memory: 52540, decode.loss_ce: 0.1739, decode.acc_seg: 92.7986, loss: 0.1739 +2023-03-04 10:21:42,346 - mmseg - INFO - Iter [139950/160000] lr: 2.344e-06, eta: 1:19:05, time: 0.194, data_time: 0.006, memory: 52540, decode.loss_ce: 0.1924, decode.acc_seg: 92.2203, loss: 0.1924 +2023-03-04 10:21:51,946 - mmseg - INFO - Exp name: ablation_segformer_mit_b2_segformer_head_unet_fc_small_multi_step_ade_pretrained_freeze_embed_160k_ade20k151_finetune_ema_cos.py +2023-03-04 10:21:51,946 - mmseg - INFO - Iter [140000/160000] lr: 2.344e-06, eta: 1:18:53, time: 0.192, data_time: 0.006, memory: 52540, decode.loss_ce: 0.1793, decode.acc_seg: 92.5792, loss: 0.1793 +2023-03-04 10:22:01,840 - mmseg - INFO - Iter [140050/160000] lr: 1.172e-06, eta: 1:18:40, time: 0.198, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1853, decode.acc_seg: 92.2638, loss: 0.1853 +2023-03-04 10:22:13,992 - mmseg - INFO - Iter [140100/160000] lr: 1.172e-06, eta: 1:18:29, time: 0.243, data_time: 0.053, memory: 52540, decode.loss_ce: 0.1851, decode.acc_seg: 92.4997, loss: 0.1851 +2023-03-04 10:22:23,666 - mmseg - INFO - Iter [140150/160000] lr: 1.172e-06, eta: 1:18:17, time: 0.193, data_time: 0.006, memory: 52540, decode.loss_ce: 0.1853, decode.acc_seg: 92.4278, loss: 0.1853 +2023-03-04 10:22:33,229 - mmseg - INFO - Iter [140200/160000] lr: 1.172e-06, eta: 1:18:04, time: 0.191, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1863, decode.acc_seg: 92.3109, loss: 0.1863 +2023-03-04 10:22:42,915 - mmseg - INFO - Iter [140250/160000] lr: 1.172e-06, eta: 1:17:52, time: 0.194, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1887, decode.acc_seg: 92.1358, loss: 0.1887 +2023-03-04 10:22:52,523 - mmseg - INFO - Iter [140300/160000] lr: 1.172e-06, eta: 1:17:40, time: 0.192, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1884, decode.acc_seg: 92.2507, loss: 0.1884 +2023-03-04 10:23:02,504 - mmseg - INFO - Iter [140350/160000] lr: 1.172e-06, eta: 1:17:28, time: 0.200, data_time: 0.006, memory: 52540, decode.loss_ce: 0.1858, decode.acc_seg: 92.3258, loss: 0.1858 +2023-03-04 10:23:12,135 - mmseg - INFO - Iter [140400/160000] lr: 1.172e-06, eta: 1:17:16, time: 0.193, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1840, decode.acc_seg: 92.4293, loss: 0.1840 +2023-03-04 10:23:21,811 - mmseg - INFO - Iter [140450/160000] lr: 1.172e-06, eta: 1:17:04, time: 0.193, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1884, decode.acc_seg: 92.2238, loss: 0.1884 +2023-03-04 10:23:31,498 - mmseg - INFO - Iter [140500/160000] lr: 1.172e-06, eta: 1:16:52, time: 0.194, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1836, decode.acc_seg: 92.5323, loss: 0.1836 +2023-03-04 10:23:41,051 - mmseg - INFO - Iter [140550/160000] lr: 1.172e-06, eta: 1:16:39, time: 0.191, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1775, decode.acc_seg: 92.7801, loss: 0.1775 +2023-03-04 10:23:51,124 - mmseg - INFO - Iter [140600/160000] lr: 1.172e-06, eta: 1:16:27, time: 0.201, data_time: 0.006, memory: 52540, decode.loss_ce: 0.1764, decode.acc_seg: 92.7257, loss: 0.1764 +2023-03-04 10:24:00,816 - mmseg - INFO - Iter [140650/160000] lr: 1.172e-06, eta: 1:16:15, time: 0.194, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1827, decode.acc_seg: 92.4667, loss: 0.1827 +2023-03-04 10:24:10,327 - mmseg - INFO - Iter [140700/160000] lr: 1.172e-06, eta: 1:16:03, time: 0.190, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1932, decode.acc_seg: 92.1253, loss: 0.1932 +2023-03-04 10:24:22,608 - mmseg - INFO - Iter [140750/160000] lr: 1.172e-06, eta: 1:15:51, time: 0.246, data_time: 0.055, memory: 52540, decode.loss_ce: 0.1839, decode.acc_seg: 92.4724, loss: 0.1839 +2023-03-04 10:24:32,272 - mmseg - INFO - Iter [140800/160000] lr: 1.172e-06, eta: 1:15:39, time: 0.193, data_time: 0.006, memory: 52540, decode.loss_ce: 0.1750, decode.acc_seg: 92.7742, loss: 0.1750 +2023-03-04 10:24:41,810 - mmseg - INFO - Iter [140850/160000] lr: 1.172e-06, eta: 1:15:27, time: 0.191, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1792, decode.acc_seg: 92.4638, loss: 0.1792 +2023-03-04 10:24:51,444 - mmseg - INFO - Iter [140900/160000] lr: 1.172e-06, eta: 1:15:15, time: 0.193, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1867, decode.acc_seg: 92.2857, loss: 0.1867 +2023-03-04 10:25:01,303 - mmseg - INFO - Iter [140950/160000] lr: 1.172e-06, eta: 1:15:03, time: 0.197, data_time: 0.006, memory: 52540, decode.loss_ce: 0.1753, decode.acc_seg: 92.7968, loss: 0.1753 +2023-03-04 10:25:11,365 - mmseg - INFO - Exp name: ablation_segformer_mit_b2_segformer_head_unet_fc_small_multi_step_ade_pretrained_freeze_embed_160k_ade20k151_finetune_ema_cos.py +2023-03-04 10:25:11,365 - mmseg - INFO - Iter [141000/160000] lr: 1.172e-06, eta: 1:14:51, time: 0.201, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1866, decode.acc_seg: 92.3027, loss: 0.1866 +2023-03-04 10:25:21,518 - mmseg - INFO - Iter [141050/160000] lr: 1.172e-06, eta: 1:14:39, time: 0.203, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1942, decode.acc_seg: 92.1727, loss: 0.1942 +2023-03-04 10:25:31,279 - mmseg - INFO - Iter [141100/160000] lr: 1.172e-06, eta: 1:14:27, time: 0.195, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1841, decode.acc_seg: 92.4014, loss: 0.1841 +2023-03-04 10:25:40,951 - mmseg - INFO - Iter [141150/160000] lr: 1.172e-06, eta: 1:14:15, time: 0.193, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1913, decode.acc_seg: 92.1749, loss: 0.1913 +2023-03-04 10:25:50,746 - mmseg - INFO - Iter [141200/160000] lr: 1.172e-06, eta: 1:14:03, time: 0.196, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1794, decode.acc_seg: 92.6167, loss: 0.1794 +2023-03-04 10:26:00,621 - mmseg - INFO - Iter [141250/160000] lr: 1.172e-06, eta: 1:13:50, time: 0.198, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1798, decode.acc_seg: 92.5101, loss: 0.1798 +2023-03-04 10:26:10,181 - mmseg - INFO - Iter [141300/160000] lr: 1.172e-06, eta: 1:13:38, time: 0.191, data_time: 0.006, memory: 52540, decode.loss_ce: 0.1895, decode.acc_seg: 92.2588, loss: 0.1895 +2023-03-04 10:26:22,525 - mmseg - INFO - Iter [141350/160000] lr: 1.172e-06, eta: 1:13:27, time: 0.247, data_time: 0.060, memory: 52540, decode.loss_ce: 0.1817, decode.acc_seg: 92.5169, loss: 0.1817 +2023-03-04 10:26:32,097 - mmseg - INFO - Iter [141400/160000] lr: 1.172e-06, eta: 1:13:15, time: 0.191, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1877, decode.acc_seg: 92.3212, loss: 0.1877 +2023-03-04 10:26:41,870 - mmseg - INFO - Iter [141450/160000] lr: 1.172e-06, eta: 1:13:02, time: 0.195, data_time: 0.006, memory: 52540, decode.loss_ce: 0.1807, decode.acc_seg: 92.5982, loss: 0.1807 +2023-03-04 10:26:51,768 - mmseg - INFO - Iter [141500/160000] lr: 1.172e-06, eta: 1:12:50, time: 0.198, data_time: 0.006, memory: 52540, decode.loss_ce: 0.1775, decode.acc_seg: 92.6092, loss: 0.1775 +2023-03-04 10:27:01,239 - mmseg - INFO - Iter [141550/160000] lr: 1.172e-06, eta: 1:12:38, time: 0.189, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1910, decode.acc_seg: 92.4763, loss: 0.1910 +2023-03-04 10:27:10,760 - mmseg - INFO - Iter [141600/160000] lr: 1.172e-06, eta: 1:12:26, time: 0.190, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1814, decode.acc_seg: 92.5627, loss: 0.1814 +2023-03-04 10:27:20,443 - mmseg - INFO - Iter [141650/160000] lr: 1.172e-06, eta: 1:12:14, time: 0.194, data_time: 0.006, memory: 52540, decode.loss_ce: 0.1897, decode.acc_seg: 92.1819, loss: 0.1897 +2023-03-04 10:27:30,035 - mmseg - INFO - Iter [141700/160000] lr: 1.172e-06, eta: 1:12:02, time: 0.192, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1831, decode.acc_seg: 92.6886, loss: 0.1831 +2023-03-04 10:27:39,864 - mmseg - INFO - Iter [141750/160000] lr: 1.172e-06, eta: 1:11:50, time: 0.196, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1773, decode.acc_seg: 92.6928, loss: 0.1773 +2023-03-04 10:27:49,804 - mmseg - INFO - Iter [141800/160000] lr: 1.172e-06, eta: 1:11:38, time: 0.199, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1919, decode.acc_seg: 92.2097, loss: 0.1919 +2023-03-04 10:27:59,549 - mmseg - INFO - Iter [141850/160000] lr: 1.172e-06, eta: 1:11:26, time: 0.195, data_time: 0.006, memory: 52540, decode.loss_ce: 0.1916, decode.acc_seg: 92.2305, loss: 0.1916 +2023-03-04 10:28:09,219 - mmseg - INFO - Iter [141900/160000] lr: 1.172e-06, eta: 1:11:14, time: 0.193, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1885, decode.acc_seg: 92.3386, loss: 0.1885 +2023-03-04 10:28:18,712 - mmseg - INFO - Iter [141950/160000] lr: 1.172e-06, eta: 1:11:02, time: 0.190, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1922, decode.acc_seg: 92.1595, loss: 0.1922 +2023-03-04 10:28:31,140 - mmseg - INFO - Exp name: ablation_segformer_mit_b2_segformer_head_unet_fc_small_multi_step_ade_pretrained_freeze_embed_160k_ade20k151_finetune_ema_cos.py +2023-03-04 10:28:31,140 - mmseg - INFO - Iter [142000/160000] lr: 1.172e-06, eta: 1:10:50, time: 0.248, data_time: 0.054, memory: 52540, decode.loss_ce: 0.1806, decode.acc_seg: 92.5598, loss: 0.1806 +2023-03-04 10:28:40,857 - mmseg - INFO - Iter [142050/160000] lr: 1.172e-06, eta: 1:10:38, time: 0.195, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1817, decode.acc_seg: 92.4587, loss: 0.1817 +2023-03-04 10:28:50,553 - mmseg - INFO - Iter [142100/160000] lr: 1.172e-06, eta: 1:10:26, time: 0.194, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1867, decode.acc_seg: 92.3929, loss: 0.1867 +2023-03-04 10:29:00,385 - mmseg - INFO - Iter [142150/160000] lr: 1.172e-06, eta: 1:10:14, time: 0.197, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1834, decode.acc_seg: 92.4549, loss: 0.1834 +2023-03-04 10:29:09,984 - mmseg - INFO - Iter [142200/160000] lr: 1.172e-06, eta: 1:10:02, time: 0.192, data_time: 0.006, memory: 52540, decode.loss_ce: 0.1833, decode.acc_seg: 92.6589, loss: 0.1833 +2023-03-04 10:29:19,642 - mmseg - INFO - Iter [142250/160000] lr: 1.172e-06, eta: 1:09:50, time: 0.193, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1842, decode.acc_seg: 92.4209, loss: 0.1842 +2023-03-04 10:29:29,443 - mmseg - INFO - Iter [142300/160000] lr: 1.172e-06, eta: 1:09:37, time: 0.196, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1874, decode.acc_seg: 92.4420, loss: 0.1874 +2023-03-04 10:29:39,075 - mmseg - INFO - Iter [142350/160000] lr: 1.172e-06, eta: 1:09:25, time: 0.193, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1948, decode.acc_seg: 91.9154, loss: 0.1948 +2023-03-04 10:29:48,692 - mmseg - INFO - Iter [142400/160000] lr: 1.172e-06, eta: 1:09:13, time: 0.192, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1833, decode.acc_seg: 92.4168, loss: 0.1833 +2023-03-04 10:29:58,428 - mmseg - INFO - Iter [142450/160000] lr: 1.172e-06, eta: 1:09:01, time: 0.195, data_time: 0.006, memory: 52540, decode.loss_ce: 0.1865, decode.acc_seg: 92.4140, loss: 0.1865 +2023-03-04 10:30:08,250 - mmseg - INFO - Iter [142500/160000] lr: 1.172e-06, eta: 1:08:49, time: 0.196, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1837, decode.acc_seg: 92.4679, loss: 0.1837 +2023-03-04 10:30:18,080 - mmseg - INFO - Iter [142550/160000] lr: 1.172e-06, eta: 1:08:37, time: 0.197, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1864, decode.acc_seg: 92.2238, loss: 0.1864 +2023-03-04 10:30:28,073 - mmseg - INFO - Iter [142600/160000] lr: 1.172e-06, eta: 1:08:25, time: 0.200, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1805, decode.acc_seg: 92.5920, loss: 0.1805 +2023-03-04 10:30:40,343 - mmseg - INFO - Iter [142650/160000] lr: 1.172e-06, eta: 1:08:13, time: 0.245, data_time: 0.054, memory: 52540, decode.loss_ce: 0.1772, decode.acc_seg: 92.6009, loss: 0.1772 +2023-03-04 10:30:50,003 - mmseg - INFO - Iter [142700/160000] lr: 1.172e-06, eta: 1:08:01, time: 0.193, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1821, decode.acc_seg: 92.3451, loss: 0.1821 +2023-03-04 10:30:59,977 - mmseg - INFO - Iter [142750/160000] lr: 1.172e-06, eta: 1:07:49, time: 0.199, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1884, decode.acc_seg: 92.3226, loss: 0.1884 +2023-03-04 10:31:09,862 - mmseg - INFO - Iter [142800/160000] lr: 1.172e-06, eta: 1:07:37, time: 0.198, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1844, decode.acc_seg: 92.3856, loss: 0.1844 +2023-03-04 10:31:19,781 - mmseg - INFO - Iter [142850/160000] lr: 1.172e-06, eta: 1:07:25, time: 0.198, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1844, decode.acc_seg: 92.4593, loss: 0.1844 +2023-03-04 10:31:29,365 - mmseg - INFO - Iter [142900/160000] lr: 1.172e-06, eta: 1:07:13, time: 0.192, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1736, decode.acc_seg: 92.8245, loss: 0.1736 +2023-03-04 10:31:39,012 - mmseg - INFO - Iter [142950/160000] lr: 1.172e-06, eta: 1:07:01, time: 0.193, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1898, decode.acc_seg: 92.2227, loss: 0.1898 +2023-03-04 10:31:49,353 - mmseg - INFO - Exp name: ablation_segformer_mit_b2_segformer_head_unet_fc_small_multi_step_ade_pretrained_freeze_embed_160k_ade20k151_finetune_ema_cos.py +2023-03-04 10:31:49,353 - mmseg - INFO - Iter [143000/160000] lr: 1.172e-06, eta: 1:06:49, time: 0.207, data_time: 0.006, memory: 52540, decode.loss_ce: 0.1819, decode.acc_seg: 92.4280, loss: 0.1819 +2023-03-04 10:31:59,071 - mmseg - INFO - Iter [143050/160000] lr: 1.172e-06, eta: 1:06:37, time: 0.194, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1857, decode.acc_seg: 92.2506, loss: 0.1857 +2023-03-04 10:32:08,641 - mmseg - INFO - Iter [143100/160000] lr: 1.172e-06, eta: 1:06:25, time: 0.191, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1916, decode.acc_seg: 92.1582, loss: 0.1916 +2023-03-04 10:32:18,224 - mmseg - INFO - Iter [143150/160000] lr: 1.172e-06, eta: 1:06:13, time: 0.192, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1907, decode.acc_seg: 92.2159, loss: 0.1907 +2023-03-04 10:32:28,020 - mmseg - INFO - Iter [143200/160000] lr: 1.172e-06, eta: 1:06:01, time: 0.196, data_time: 0.006, memory: 52540, decode.loss_ce: 0.1770, decode.acc_seg: 92.7182, loss: 0.1770 +2023-03-04 10:32:40,267 - mmseg - INFO - Iter [143250/160000] lr: 1.172e-06, eta: 1:05:49, time: 0.245, data_time: 0.056, memory: 52540, decode.loss_ce: 0.1832, decode.acc_seg: 92.5336, loss: 0.1832 +2023-03-04 10:32:49,896 - mmseg - INFO - Iter [143300/160000] lr: 1.172e-06, eta: 1:05:37, time: 0.193, data_time: 0.006, memory: 52540, decode.loss_ce: 0.1862, decode.acc_seg: 92.3286, loss: 0.1862 +2023-03-04 10:32:59,796 - mmseg - INFO - Iter [143350/160000] lr: 1.172e-06, eta: 1:05:25, time: 0.198, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1870, decode.acc_seg: 92.3877, loss: 0.1870 +2023-03-04 10:33:09,475 - mmseg - INFO - Iter [143400/160000] lr: 1.172e-06, eta: 1:05:13, time: 0.194, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1898, decode.acc_seg: 92.2924, loss: 0.1898 +2023-03-04 10:33:19,319 - mmseg - INFO - Iter [143450/160000] lr: 1.172e-06, eta: 1:05:01, time: 0.197, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1793, decode.acc_seg: 92.5762, loss: 0.1793 +2023-03-04 10:33:28,920 - mmseg - INFO - Iter [143500/160000] lr: 1.172e-06, eta: 1:04:49, time: 0.192, data_time: 0.006, memory: 52540, decode.loss_ce: 0.1855, decode.acc_seg: 92.5717, loss: 0.1855 +2023-03-04 10:33:38,911 - mmseg - INFO - Iter [143550/160000] lr: 1.172e-06, eta: 1:04:37, time: 0.200, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1866, decode.acc_seg: 92.3496, loss: 0.1866 +2023-03-04 10:33:48,441 - mmseg - INFO - Iter [143600/160000] lr: 1.172e-06, eta: 1:04:25, time: 0.191, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1833, decode.acc_seg: 92.4125, loss: 0.1833 +2023-03-04 10:33:58,384 - mmseg - INFO - Iter [143650/160000] lr: 1.172e-06, eta: 1:04:13, time: 0.199, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1896, decode.acc_seg: 92.2502, loss: 0.1896 +2023-03-04 10:34:07,978 - mmseg - INFO - Iter [143700/160000] lr: 1.172e-06, eta: 1:04:01, time: 0.192, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1793, decode.acc_seg: 92.4826, loss: 0.1793 +2023-03-04 10:34:18,290 - mmseg - INFO - Iter [143750/160000] lr: 1.172e-06, eta: 1:03:49, time: 0.206, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1925, decode.acc_seg: 92.1142, loss: 0.1925 +2023-03-04 10:34:27,802 - mmseg - INFO - Iter [143800/160000] lr: 1.172e-06, eta: 1:03:37, time: 0.190, data_time: 0.006, memory: 52540, decode.loss_ce: 0.1825, decode.acc_seg: 92.4466, loss: 0.1825 +2023-03-04 10:34:37,534 - mmseg - INFO - Iter [143850/160000] lr: 1.172e-06, eta: 1:03:25, time: 0.195, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1796, decode.acc_seg: 92.6415, loss: 0.1796 +2023-03-04 10:34:49,847 - mmseg - INFO - Iter [143900/160000] lr: 1.172e-06, eta: 1:03:13, time: 0.246, data_time: 0.054, memory: 52540, decode.loss_ce: 0.1784, decode.acc_seg: 92.5269, loss: 0.1784 +2023-03-04 10:34:59,431 - mmseg - INFO - Iter [143950/160000] lr: 1.172e-06, eta: 1:03:01, time: 0.192, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1848, decode.acc_seg: 92.2485, loss: 0.1848 +2023-03-04 10:35:09,057 - mmseg - INFO - Swap parameters (after train) after iter [144000] +2023-03-04 10:35:09,071 - mmseg - INFO - Saving checkpoint at 144000 iterations +2023-03-04 10:35:10,153 - mmseg - INFO - Exp name: ablation_segformer_mit_b2_segformer_head_unet_fc_small_multi_step_ade_pretrained_freeze_embed_160k_ade20k151_finetune_ema_cos.py +2023-03-04 10:35:10,153 - mmseg - INFO - Iter [144000/160000] lr: 1.172e-06, eta: 1:02:49, time: 0.214, data_time: 0.006, memory: 52540, decode.loss_ce: 0.1790, decode.acc_seg: 92.7946, loss: 0.1790 +2023-03-04 10:45:59,134 - mmseg - INFO - per class results: +2023-03-04 10:45:59,142 - mmseg - INFO - ++---------------------+-------------------------------------------------------------------+ +| Class | IoU 0,10,20,30,40,50,60,70,80,90,99 | ++---------------------+-------------------------------------------------------------------+ +| background | nan,nan,nan,nan,nan,nan,nan,nan,nan,nan,nan | +| wall | 77.39,77.4,77.4,77.41,77.4,77.42,77.44,77.46,77.5,77.51,77.51 | +| building | 81.63,81.64,81.65,81.64,81.65,81.66,81.65,81.67,81.67,81.66,81.66 | +| sky | 94.39,94.39,94.39,94.39,94.39,94.39,94.4,94.39,94.39,94.4,94.4 | +| floor | 81.63,81.62,81.62,81.63,81.62,81.62,81.64,81.64,81.65,81.64,81.67 | +| tree | 74.39,74.39,74.39,74.39,74.39,74.41,74.42,74.44,74.45,74.47,74.47 | +| ceiling | 85.27,85.27,85.26,85.25,85.25,85.28,85.29,85.28,85.3,85.3,85.3 | +| road | 82.28,82.27,82.27,82.26,82.26,82.28,82.24,82.26,82.24,82.19,82.16 | +| bed | 88.11,88.11,88.13,88.13,88.12,88.13,88.15,88.15,88.22,88.17,88.13 | +| windowpane | 60.67,60.65,60.65,60.66,60.67,60.7,60.72,60.76,60.81,60.85,60.85 | +| grass | 67.08,67.07,67.11,67.09,67.12,67.09,67.1,67.13,67.15,67.17,67.21 | +| cabinet | 61.98,61.92,61.92,61.92,61.97,62.06,62.21,62.35,62.5,62.65,62.6 | +| sidewalk | 64.73,64.7,64.7,64.69,64.72,64.74,64.73,64.76,64.7,64.65,64.61 | +| person | 79.66,79.65,79.64,79.65,79.64,79.66,79.66,79.7,79.71,79.68,79.72 | +| earth | 35.81,35.81,35.81,35.8,35.79,35.84,35.84,35.92,35.84,35.85,35.83 | +| door | 46.0,46.0,46.02,46.04,46.06,46.08,46.08,46.06,46.24,46.29,46.28 | +| table | 61.3,61.28,61.3,61.27,61.31,61.34,61.41,61.5,61.6,61.66,61.71 | +| mountain | 56.86,56.92,56.89,56.91,56.89,56.94,57.01,57.05,57.13,57.27,57.31 | +| plant | 49.57,49.52,49.54,49.54,49.53,49.56,49.56,49.58,49.52,49.55,49.55 | +| curtain | 74.56,74.55,74.56,74.56,74.55,74.58,74.59,74.62,74.65,74.68,74.72 | +| chair | 56.82,56.81,56.81,56.81,56.82,56.85,56.88,56.94,56.95,56.97,56.99 | +| car | 81.92,81.93,81.91,81.91,81.92,81.93,81.94,81.96,81.98,82.03,82.08 | +| water | 56.89,56.87,56.9,56.88,56.88,56.93,56.93,57.0,57.03,57.09,57.15 | +| painting | 70.39,70.36,70.38,70.38,70.38,70.39,70.37,70.31,70.21,70.19,70.19 | +| sofa | 64.45,64.41,64.4,64.43,64.44,64.5,64.53,64.58,64.76,64.83,64.95 | +| shelf | 44.2,44.21,44.18,44.2,44.22,44.24,44.28,44.41,44.59,44.66,44.73 | +| house | 42.25,42.36,42.33,42.34,42.47,42.43,42.53,42.59,42.51,42.3,42.46 | +| sea | 59.9,59.88,59.89,59.86,59.9,59.93,59.94,59.99,60.01,60.03,60.1 | +| mirror | 67.01,67.02,66.95,67.03,67.08,67.02,67.17,67.24,67.29,67.29,67.2 | +| rug | 64.09,64.02,64.08,64.06,64.04,64.06,64.09,64.17,64.23,64.31,64.48 | +| field | 30.78,30.77,30.75,30.75,30.74,30.75,30.72,30.65,30.61,30.61,30.61 | +| armchair | 38.55,38.48,38.45,38.55,38.52,38.56,38.59,38.48,38.55,38.56,38.57 | +| seat | 66.89,66.87,66.78,66.8,66.84,66.92,66.9,66.96,66.98,67.1,67.1 | +| fence | 40.21,40.28,40.32,40.27,40.28,40.28,40.31,40.48,40.49,40.51,40.52 | +| desk | 47.12,47.08,47.06,47.06,47.08,47.22,47.27,47.44,47.59,47.75,47.88 | +| rock | 36.8,36.82,36.77,36.83,36.81,36.84,36.85,36.88,36.85,36.84,36.93 | +| wardrobe | 58.24,58.15,58.21,58.16,58.22,58.27,58.26,58.34,58.32,58.27,58.25 | +| lamp | 62.02,61.96,61.95,61.99,61.99,61.98,62.02,62.02,61.98,61.91,61.91 | +| bathtub | 76.95,76.96,76.89,76.93,76.91,76.84,77.09,76.97,76.96,76.94,76.65 | +| railing | 33.85,33.81,33.82,33.81,33.82,33.78,33.73,33.62,33.6,33.57,33.55 | +| cushion | 56.88,56.83,56.7,56.81,56.82,56.84,56.74,56.77,56.73,56.72,56.69 | +| base | 21.93,21.97,22.02,22.04,22.02,22.01,22.12,22.09,22.1,22.12,22.07 | +| box | 23.12,23.11,23.12,23.17,23.13,23.21,23.18,23.27,23.42,23.46,23.53 | +| column | 46.25,46.28,46.29,46.32,46.3,46.31,46.4,46.5,46.63,46.69,46.62 | +| signboard | 37.72,37.78,37.74,37.81,37.82,37.79,37.72,37.76,37.73,37.58,37.54 | +| chest of drawers | 36.1,36.07,36.11,36.09,36.12,36.07,36.08,36.13,36.28,36.41,36.13 | +| counter | 31.47,31.57,31.52,31.49,31.53,31.6,31.65,31.73,31.93,31.92,32.08 | +| sand | 42.55,42.58,42.48,42.53,42.55,42.55,42.68,42.68,42.79,42.86,42.96 | +| sink | 67.78,67.78,67.8,67.79,67.79,67.77,67.79,67.68,67.63,67.55,67.49 | +| skyscraper | 50.67,50.65,50.66,50.91,50.83,50.6,50.48,50.08,49.87,49.75,49.46 | +| fireplace | 75.95,75.94,75.96,75.98,75.92,76.01,76.15,76.2,76.32,76.44,76.55 | +| refrigerator | 75.3,75.29,75.27,75.26,75.35,75.37,75.49,75.71,76.02,76.13,76.15 | +| grandstand | 54.09,53.96,53.99,54.09,54.03,54.17,54.29,54.46,54.65,55.05,55.27 | +| path | 22.77,22.77,22.78,22.83,22.8,22.86,22.87,22.83,22.87,22.89,22.91 | +| stairs | 31.69,31.67,31.67,31.71,31.68,31.67,31.63,31.62,31.61,31.64,31.59 | +| runway | 68.18,68.16,68.16,68.17,68.2,68.24,68.26,68.35,68.38,68.43,68.45 | +| case | 49.73,49.82,49.78,49.87,49.85,49.82,49.8,49.86,49.8,49.86,49.9 | +| pool table | 91.94,91.94,91.94,91.96,91.95,91.98,91.97,91.98,92.03,92.05,92.08 | +| pillow | 59.67,59.71,59.55,59.65,59.69,59.6,59.38,59.44,59.43,59.26,59.29 | +| screen door | 71.36,71.46,71.36,71.59,71.52,71.7,72.04,72.32,72.73,72.97,72.7 | +| stairway | 23.51,23.49,23.59,23.6,23.54,23.5,23.54,23.55,23.58,23.6,23.66 | +| river | 11.77,11.78,11.78,11.77,11.77,11.77,11.77,11.78,11.77,11.77,11.76 | +| bridge | 31.99,31.99,31.99,31.98,32.03,31.95,32.0,31.95,32.0,32.24,32.3 | +| bookcase | 45.47,45.46,45.57,45.43,45.45,45.43,45.42,45.5,45.33,45.27,45.14 | +| blind | 40.28,40.31,40.16,40.25,40.36,40.3,40.65,40.87,40.9,41.04,41.25 | +| coffee table | 53.28,53.15,53.2,53.08,53.21,53.17,53.29,53.41,53.45,53.74,53.85 | +| toilet | 83.86,83.86,83.88,83.89,83.89,83.88,83.77,83.81,83.78,83.75,83.74 | +| flower | 38.6,38.59,38.55,38.57,38.61,38.54,38.62,38.52,38.58,38.52,38.57 | +| book | 45.61,45.59,45.58,45.59,45.55,45.56,45.49,45.46,45.43,45.41,45.32 | +| hill | 15.4,15.29,15.31,15.31,15.37,15.43,15.45,15.5,15.54,15.58,15.56 | +| bench | 43.41,43.36,43.41,43.46,43.34,43.47,43.5,43.47,43.55,43.67,43.72 | +| countertop | 55.73,55.71,55.67,55.74,55.67,55.72,55.86,55.81,55.77,55.88,55.88 | +| stove | 71.71,71.74,71.69,71.67,71.65,71.66,71.68,71.64,71.53,71.42,71.31 | +| palm | 47.92,47.94,47.94,47.96,47.94,47.94,47.98,47.96,47.9,48.01,48.04 | +| kitchen island | 46.22,46.16,46.07,46.22,46.31,46.3,46.19,46.1,45.7,45.59,45.43 | +| computer | 60.61,60.61,60.67,60.67,60.61,60.62,60.62,60.6,60.54,60.5,60.47 | +| swivel chair | 44.09,44.21,44.13,44.22,44.06,44.27,44.37,44.46,44.68,44.66,44.99 | +| boat | 73.09,73.11,73.03,73.03,73.02,73.07,72.99,73.17,73.24,73.39,73.64 | +| bar | 24.0,23.98,23.98,24.02,23.96,24.01,24.01,23.99,24.01,24.05,24.05 | +| arcade machine | 68.0,68.27,68.03,68.39,68.2,67.83,68.03,68.14,68.08,67.97,68.19 | +| hovel | 31.71,31.91,31.84,31.9,32.1,32.11,32.11,32.27,32.5,32.54,32.6 | +| bus | 79.59,79.58,79.58,79.54,79.63,79.58,79.65,79.63,79.66,79.63,79.58 | +| towel | 62.05,62.02,61.95,62.03,61.93,62.1,61.98,62.1,62.08,62.07,62.06 | +| light | 55.57,55.63,55.58,55.59,55.65,55.62,55.71,55.71,55.74,55.71,55.7 | +| truck | 19.24,19.24,19.36,19.29,19.37,19.3,19.29,19.32,19.27,19.24,19.26 | +| tower | 8.59,8.62,8.62,8.62,8.6,8.6,8.68,8.71,8.76,8.75,8.85 | +| chandelier | 63.71,63.74,63.7,63.73,63.77,63.72,63.76,63.75,63.79,63.81,63.84 | +| awning | 24.5,24.58,24.55,24.59,24.66,24.72,24.94,25.03,25.19,25.61,25.82 | +| streetlight | 27.54,27.61,27.6,27.51,27.56,27.61,27.65,27.64,27.63,27.65,27.61 | +| booth | 46.74,46.68,46.51,46.64,47.05,46.86,47.07,47.09,47.64,48.24,49.18 | +| television receiver | 64.48,64.44,64.4,64.43,64.44,64.48,64.55,64.6,64.71,64.92,65.03 | +| airplane | 60.14,60.26,60.2,60.22,60.21,60.09,60.13,60.05,59.8,59.58,59.29 | +| dirt track | 20.52,20.6,20.72,20.79,20.75,20.82,21.02,21.12,21.18,21.45,21.44 | +| apparel | 35.27,35.26,35.47,35.36,35.41,35.4,35.72,35.86,36.03,36.17,36.36 | +| pole | 18.85,18.81,18.93,18.86,18.97,18.87,18.75,18.69,18.63,18.57,18.31 | +| land | 3.93,3.93,3.92,3.92,3.92,3.92,3.93,3.91,3.89,3.88,3.9 | +| bannister | 12.82,12.83,12.73,12.84,12.91,12.87,12.87,12.97,12.95,12.97,13.09 | +| escalator | 23.99,23.97,23.98,23.98,23.97,23.98,23.99,24.16,24.12,24.36,24.47 | +| ottoman | 43.55,43.48,43.56,43.49,43.49,43.59,43.31,43.44,43.61,43.62,43.43 | +| bottle | 34.78,34.83,34.79,34.83,34.74,34.86,34.88,34.82,34.86,34.81,34.75 | +| buffet | 44.19,44.29,44.13,44.3,44.44,44.62,44.79,45.41,45.61,45.85,46.04 | +| poster | 22.77,22.87,22.8,22.78,22.79,22.85,22.88,22.88,23.01,23.22,23.5 | +| stage | 13.99,13.92,13.95,13.99,13.98,13.9,13.89,13.81,13.72,13.6,13.19 | +| van | 38.55,38.54,38.51,38.58,38.43,38.42,38.42,38.36,38.31,38.23,38.15 | +| ship | 82.92,83.16,83.08,83.02,83.08,83.19,83.33,83.6,83.85,83.94,84.07 | +| fountain | 21.17,21.28,21.07,21.15,21.11,21.11,21.2,21.25,21.23,21.37,21.55 | +| conveyer belt | 85.7,85.7,85.68,85.73,85.77,85.77,85.75,85.92,86.15,86.16,86.36 | +| canopy | 23.25,23.27,23.15,23.29,23.28,23.33,23.67,23.66,24.09,24.16,24.49 | +| washer | 72.81,72.78,72.86,72.81,72.91,72.86,72.88,73.09,73.24,73.45,73.66 | +| plaything | 19.84,19.76,19.86,19.94,19.89,19.75,19.79,19.76,19.64,19.58,19.49 | +| swimming pool | 74.27,73.95,74.0,74.06,74.02,74.19,74.25,74.26,74.55,74.51,74.61 | +| stool | 43.85,44.0,43.82,43.93,44.04,43.87,43.83,43.89,43.61,43.52,43.43 | +| barrel | 54.85,54.47,53.67,54.61,54.97,54.69,53.55,55.11,55.06,55.05,54.91 | +| basket | 24.2,24.27,24.24,24.21,24.22,24.29,24.31,24.3,24.25,24.2,24.04 | +| waterfall | 48.99,48.98,48.97,49.05,48.98,48.96,48.97,48.92,48.97,48.99,49.05 | +| tent | 94.74,94.73,94.74,94.73,94.73,94.74,94.73,94.7,94.71,94.8,94.71 | +| bag | 16.24,16.22,16.12,16.23,16.13,16.17,16.15,16.21,16.25,16.25,16.21 | +| minibike | 63.04,63.09,62.98,63.01,63.09,63.02,63.09,63.09,63.13,63.02,62.94 | +| cradle | 84.46,84.51,84.48,84.51,84.55,84.51,84.62,84.78,84.96,85.18,85.48 | +| oven | 49.04,49.26,48.98,48.9,49.11,49.0,49.08,49.14,49.12,49.34,49.4 | +| ball | 46.15,46.25,46.22,46.15,46.21,46.21,46.15,45.93,45.95,45.64,45.52 | +| food | 54.12,54.12,54.14,54.22,54.23,54.15,54.08,54.27,54.24,54.26,54.21 | +| step | 6.73,6.57,6.65,6.64,6.7,6.72,6.68,6.62,6.65,6.6,6.62 | +| tank | 51.58,51.67,51.64,51.63,51.59,51.58,51.58,51.47,51.16,51.12,50.89 | +| trade name | 26.67,26.92,26.88,27.04,26.91,26.94,26.99,26.96,26.97,27.1,27.16 | +| microwave | 72.42,72.4,72.45,72.43,72.45,72.55,72.56,72.76,72.85,73.14,73.2 | +| pot | 30.02,30.08,30.12,30.06,30.19,30.2,30.17,30.24,30.29,30.37,30.49 | +| animal | 54.13,54.16,54.14,54.08,54.14,54.12,54.13,54.03,53.91,53.91,53.9 | +| bicycle | 55.11,55.18,55.1,55.14,55.11,55.25,55.18,55.21,55.37,55.33,55.45 | +| lake | 57.88,57.84,57.92,57.9,57.89,57.96,57.96,58.06,58.17,58.25,58.34 | +| dishwasher | 66.45,66.4,66.38,66.41,66.27,66.22,66.16,66.26,66.13,66.17,66.3 | +| screen | 66.56,66.64,66.58,66.41,66.4,66.27,65.81,65.55,65.36,65.13,64.7 | +| blanket | 18.17,18.12,18.25,18.13,18.16,18.24,18.25,18.3,18.39,18.33,18.27 | +| sculpture | 57.72,57.75,57.76,57.79,58.11,57.85,57.91,57.75,57.81,57.92,57.95 | +| hood | 57.23,57.28,57.29,57.35,57.1,57.06,57.35,56.95,56.76,55.78,55.46 | +| sconce | 43.37,43.43,43.38,43.44,43.45,43.44,43.59,43.69,43.87,44.01,44.17 | +| vase | 37.73,37.75,37.81,37.82,37.82,37.83,37.81,37.87,37.9,37.96,38.05 | +| traffic light | 32.86,32.91,32.99,32.99,32.96,32.95,33.01,33.06,33.11,33.2,33.31 | +| tray | 8.54,8.48,8.44,8.5,8.4,8.46,8.53,8.49,8.53,8.54,8.72 | +| ashcan | 40.7,40.71,40.69,40.74,40.85,40.67,40.76,40.71,40.81,40.89,40.92 | +| fan | 58.05,57.99,58.03,58.07,57.98,58.01,58.02,57.88,57.9,57.79,57.81 | +| pier | 49.61,49.16,49.84,49.51,49.33,50.23,50.79,52.22,53.46,55.13,56.53 | +| crt screen | 10.63,10.66,10.62,10.64,10.67,10.66,10.62,10.76,10.76,10.73,10.71 | +| plate | 52.33,52.24,52.23,52.36,52.28,52.45,52.5,52.62,52.99,53.1,53.3 | +| monitor | 18.48,18.57,18.47,18.58,18.37,18.55,18.39,18.42,18.29,18.3,18.24 | +| bulletin board | 40.54,40.69,40.46,40.78,40.61,40.57,40.6,40.87,41.2,41.56,41.2 | +| shower | 2.03,2.06,2.04,2.05,2.02,2.05,2.04,2.1,2.01,1.99,1.96 | +| radiator | 58.04,58.16,57.92,58.29,58.18,58.29,58.54,59.04,59.9,60.0,60.81 | +| glass | 13.34,13.43,13.29,13.35,13.46,13.37,13.41,13.41,13.51,13.6,13.62 | +| clock | 35.56,35.43,35.37,35.53,35.35,35.53,35.72,35.74,35.88,35.87,35.77 | +| flag | 33.36,33.36,33.32,33.35,33.26,33.35,33.28,33.28,33.27,33.26,33.26 | ++---------------------+-------------------------------------------------------------------+ +2023-03-04 10:45:59,142 - mmseg - INFO - Summary: +2023-03-04 10:45:59,143 - mmseg - INFO - ++-----------------------------------------------------------------+ +| mIoU 0,10,20,30,40,50,60,70,80,90,99 | ++-----------------------------------------------------------------+ +| 48.9,48.9,48.88,48.92,48.92,48.93,48.96,49.02,49.07,49.11,49.14 | ++-----------------------------------------------------------------+ +2023-03-04 10:45:59,176 - mmseg - INFO - The previous best checkpoint /mnt/petrelfs/laizeqiang/mmseg-baseline/work_dirs2/ablation_segformer_mit_b2_segformer_head_unet_fc_small_multi_step_ade_pretrained_freeze_embed_160k_ade20k151_finetune_ema_cos/best_mIoU_iter_112000.pth was removed +2023-03-04 10:46:00,124 - mmseg - INFO - Now best checkpoint is saved as best_mIoU_iter_144000.pth. +2023-03-04 10:46:00,125 - mmseg - INFO - Best mIoU is 0.4914 at 144000 iter. +2023-03-04 10:46:00,125 - mmseg - INFO - Exp name: ablation_segformer_mit_b2_segformer_head_unet_fc_small_multi_step_ade_pretrained_freeze_embed_160k_ade20k151_finetune_ema_cos.py +2023-03-04 10:46:00,125 - mmseg - INFO - Iter(val) [250] mIoU: [0.489, 0.489, 0.4888, 0.4892, 0.4892, 0.4893, 0.4896, 0.4902, 0.4907, 0.4911, 0.4914], copy_paste: 48.9,48.9,48.88,48.92,48.92,48.93,48.96,49.02,49.07,49.11,49.14 +2023-03-04 10:46:00,131 - mmseg - INFO - Swap parameters (before train) before iter [144001] +2023-03-04 10:46:10,435 - mmseg - INFO - Iter [144050/160000] lr: 1.172e-06, eta: 1:03:49, time: 13.205, data_time: 13.007, memory: 52540, decode.loss_ce: 0.1870, decode.acc_seg: 92.3797, loss: 0.1870 +2023-03-04 10:46:20,432 - mmseg - INFO - Iter [144100/160000] lr: 1.172e-06, eta: 1:03:37, time: 0.200, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1820, decode.acc_seg: 92.4483, loss: 0.1820 +2023-03-04 10:46:30,393 - mmseg - INFO - Iter [144150/160000] lr: 1.172e-06, eta: 1:03:25, time: 0.199, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1891, decode.acc_seg: 92.2981, loss: 0.1891 +2023-03-04 10:46:39,948 - mmseg - INFO - Iter [144200/160000] lr: 1.172e-06, eta: 1:03:13, time: 0.191, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1878, decode.acc_seg: 92.4140, loss: 0.1878 +2023-03-04 10:46:49,519 - mmseg - INFO - Iter [144250/160000] lr: 1.172e-06, eta: 1:03:00, time: 0.191, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1841, decode.acc_seg: 92.4747, loss: 0.1841 +2023-03-04 10:46:59,052 - mmseg - INFO - Iter [144300/160000] lr: 1.172e-06, eta: 1:02:48, time: 0.191, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1782, decode.acc_seg: 92.6286, loss: 0.1782 +2023-03-04 10:47:08,651 - mmseg - INFO - Iter [144350/160000] lr: 1.172e-06, eta: 1:02:36, time: 0.192, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1744, decode.acc_seg: 92.8282, loss: 0.1744 +2023-03-04 10:47:18,292 - mmseg - INFO - Iter [144400/160000] lr: 1.172e-06, eta: 1:02:24, time: 0.193, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1834, decode.acc_seg: 92.3183, loss: 0.1834 +2023-03-04 10:47:28,049 - mmseg - INFO - Iter [144450/160000] lr: 1.172e-06, eta: 1:02:11, time: 0.195, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1911, decode.acc_seg: 92.2239, loss: 0.1911 +2023-03-04 10:47:40,058 - mmseg - INFO - Iter [144500/160000] lr: 1.172e-06, eta: 1:01:59, time: 0.240, data_time: 0.055, memory: 52540, decode.loss_ce: 0.1882, decode.acc_seg: 92.2480, loss: 0.1882 +2023-03-04 10:47:49,555 - mmseg - INFO - Iter [144550/160000] lr: 1.172e-06, eta: 1:01:47, time: 0.190, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1771, decode.acc_seg: 92.7801, loss: 0.1771 +2023-03-04 10:47:59,356 - mmseg - INFO - Iter [144600/160000] lr: 1.172e-06, eta: 1:01:35, time: 0.196, data_time: 0.006, memory: 52540, decode.loss_ce: 0.1860, decode.acc_seg: 92.4980, loss: 0.1860 +2023-03-04 10:48:09,048 - mmseg - INFO - Iter [144650/160000] lr: 1.172e-06, eta: 1:01:23, time: 0.194, data_time: 0.006, memory: 52540, decode.loss_ce: 0.1820, decode.acc_seg: 92.4870, loss: 0.1820 +2023-03-04 10:48:18,943 - mmseg - INFO - Iter [144700/160000] lr: 1.172e-06, eta: 1:01:10, time: 0.198, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1878, decode.acc_seg: 92.2460, loss: 0.1878 +2023-03-04 10:48:29,142 - mmseg - INFO - Iter [144750/160000] lr: 1.172e-06, eta: 1:00:58, time: 0.204, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1888, decode.acc_seg: 92.3230, loss: 0.1888 +2023-03-04 10:48:39,015 - mmseg - INFO - Iter [144800/160000] lr: 1.172e-06, eta: 1:00:46, time: 0.197, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1825, decode.acc_seg: 92.4474, loss: 0.1825 +2023-03-04 10:48:48,595 - mmseg - INFO - Iter [144850/160000] lr: 1.172e-06, eta: 1:00:34, time: 0.192, data_time: 0.006, memory: 52540, decode.loss_ce: 0.1749, decode.acc_seg: 92.7939, loss: 0.1749 +2023-03-04 10:48:58,601 - mmseg - INFO - Iter [144900/160000] lr: 1.172e-06, eta: 1:00:22, time: 0.200, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1804, decode.acc_seg: 92.6091, loss: 0.1804 +2023-03-04 10:49:08,248 - mmseg - INFO - Iter [144950/160000] lr: 1.172e-06, eta: 1:00:09, time: 0.193, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1793, decode.acc_seg: 92.6388, loss: 0.1793 +2023-03-04 10:49:18,050 - mmseg - INFO - Exp name: ablation_segformer_mit_b2_segformer_head_unet_fc_small_multi_step_ade_pretrained_freeze_embed_160k_ade20k151_finetune_ema_cos.py +2023-03-04 10:49:18,050 - mmseg - INFO - Iter [145000/160000] lr: 1.172e-06, eta: 0:59:57, time: 0.196, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1919, decode.acc_seg: 92.3082, loss: 0.1919 +2023-03-04 10:49:27,695 - mmseg - INFO - Iter [145050/160000] lr: 1.172e-06, eta: 0:59:45, time: 0.193, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1825, decode.acc_seg: 92.4679, loss: 0.1825 +2023-03-04 10:49:37,550 - mmseg - INFO - Iter [145100/160000] lr: 1.172e-06, eta: 0:59:33, time: 0.197, data_time: 0.006, memory: 52540, decode.loss_ce: 0.1847, decode.acc_seg: 92.3856, loss: 0.1847 +2023-03-04 10:49:49,616 - mmseg - INFO - Iter [145150/160000] lr: 1.172e-06, eta: 0:59:21, time: 0.241, data_time: 0.053, memory: 52540, decode.loss_ce: 0.1759, decode.acc_seg: 92.7171, loss: 0.1759 +2023-03-04 10:49:59,214 - mmseg - INFO - Iter [145200/160000] lr: 1.172e-06, eta: 0:59:09, time: 0.192, data_time: 0.006, memory: 52540, decode.loss_ce: 0.1813, decode.acc_seg: 92.5202, loss: 0.1813 +2023-03-04 10:50:08,862 - mmseg - INFO - Iter [145250/160000] lr: 1.172e-06, eta: 0:58:56, time: 0.193, data_time: 0.006, memory: 52540, decode.loss_ce: 0.1764, decode.acc_seg: 92.8338, loss: 0.1764 +2023-03-04 10:50:18,425 - mmseg - INFO - Iter [145300/160000] lr: 1.172e-06, eta: 0:58:44, time: 0.191, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1836, decode.acc_seg: 92.3397, loss: 0.1836 +2023-03-04 10:50:27,976 - mmseg - INFO - Iter [145350/160000] lr: 1.172e-06, eta: 0:58:32, time: 0.191, data_time: 0.006, memory: 52540, decode.loss_ce: 0.1824, decode.acc_seg: 92.4818, loss: 0.1824 +2023-03-04 10:50:37,751 - mmseg - INFO - Iter [145400/160000] lr: 1.172e-06, eta: 0:58:20, time: 0.195, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1899, decode.acc_seg: 92.1653, loss: 0.1899 +2023-03-04 10:50:47,447 - mmseg - INFO - Iter [145450/160000] lr: 1.172e-06, eta: 0:58:07, time: 0.194, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1826, decode.acc_seg: 92.5329, loss: 0.1826 +2023-03-04 10:50:57,160 - mmseg - INFO - Iter [145500/160000] lr: 1.172e-06, eta: 0:57:55, time: 0.194, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1877, decode.acc_seg: 92.2971, loss: 0.1877 +2023-03-04 10:51:07,318 - mmseg - INFO - Iter [145550/160000] lr: 1.172e-06, eta: 0:57:43, time: 0.203, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1853, decode.acc_seg: 92.4455, loss: 0.1853 +2023-03-04 10:51:16,820 - mmseg - INFO - Iter [145600/160000] lr: 1.172e-06, eta: 0:57:31, time: 0.190, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1840, decode.acc_seg: 92.4791, loss: 0.1840 +2023-03-04 10:51:26,461 - mmseg - INFO - Iter [145650/160000] lr: 1.172e-06, eta: 0:57:19, time: 0.193, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1829, decode.acc_seg: 92.3893, loss: 0.1829 +2023-03-04 10:51:36,312 - mmseg - INFO - Iter [145700/160000] lr: 1.172e-06, eta: 0:57:06, time: 0.197, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1769, decode.acc_seg: 92.6753, loss: 0.1769 +2023-03-04 10:51:45,859 - mmseg - INFO - Iter [145750/160000] lr: 1.172e-06, eta: 0:56:54, time: 0.191, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1839, decode.acc_seg: 92.5582, loss: 0.1839 +2023-03-04 10:51:57,941 - mmseg - INFO - Iter [145800/160000] lr: 1.172e-06, eta: 0:56:42, time: 0.242, data_time: 0.055, memory: 52540, decode.loss_ce: 0.1839, decode.acc_seg: 92.3968, loss: 0.1839 +2023-03-04 10:52:07,482 - mmseg - INFO - Iter [145850/160000] lr: 1.172e-06, eta: 0:56:30, time: 0.191, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1810, decode.acc_seg: 92.4881, loss: 0.1810 +2023-03-04 10:52:17,011 - mmseg - INFO - Iter [145900/160000] lr: 1.172e-06, eta: 0:56:18, time: 0.191, data_time: 0.006, memory: 52540, decode.loss_ce: 0.1909, decode.acc_seg: 92.3637, loss: 0.1909 +2023-03-04 10:52:26,622 - mmseg - INFO - Iter [145950/160000] lr: 1.172e-06, eta: 0:56:06, time: 0.192, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1844, decode.acc_seg: 92.3327, loss: 0.1844 +2023-03-04 10:52:36,235 - mmseg - INFO - Exp name: ablation_segformer_mit_b2_segformer_head_unet_fc_small_multi_step_ade_pretrained_freeze_embed_160k_ade20k151_finetune_ema_cos.py +2023-03-04 10:52:36,235 - mmseg - INFO - Iter [146000/160000] lr: 1.172e-06, eta: 0:55:53, time: 0.192, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1836, decode.acc_seg: 92.3350, loss: 0.1836 +2023-03-04 10:52:45,783 - mmseg - INFO - Iter [146050/160000] lr: 1.172e-06, eta: 0:55:41, time: 0.191, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1799, decode.acc_seg: 92.4645, loss: 0.1799 +2023-03-04 10:52:55,367 - mmseg - INFO - Iter [146100/160000] lr: 1.172e-06, eta: 0:55:29, time: 0.192, data_time: 0.006, memory: 52540, decode.loss_ce: 0.1836, decode.acc_seg: 92.5504, loss: 0.1836 +2023-03-04 10:53:05,176 - mmseg - INFO - Iter [146150/160000] lr: 1.172e-06, eta: 0:55:17, time: 0.196, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1790, decode.acc_seg: 92.5982, loss: 0.1790 +2023-03-04 10:53:15,121 - mmseg - INFO - Iter [146200/160000] lr: 1.172e-06, eta: 0:55:05, time: 0.199, data_time: 0.006, memory: 52540, decode.loss_ce: 0.1844, decode.acc_seg: 92.4623, loss: 0.1844 +2023-03-04 10:53:24,750 - mmseg - INFO - Iter [146250/160000] lr: 1.172e-06, eta: 0:54:52, time: 0.193, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1815, decode.acc_seg: 92.5023, loss: 0.1815 +2023-03-04 10:53:34,342 - mmseg - INFO - Iter [146300/160000] lr: 1.172e-06, eta: 0:54:40, time: 0.192, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1863, decode.acc_seg: 92.3377, loss: 0.1863 +2023-03-04 10:53:43,872 - mmseg - INFO - Iter [146350/160000] lr: 1.172e-06, eta: 0:54:28, time: 0.191, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1821, decode.acc_seg: 92.4468, loss: 0.1821 +2023-03-04 10:53:55,895 - mmseg - INFO - Iter [146400/160000] lr: 1.172e-06, eta: 0:54:16, time: 0.240, data_time: 0.053, memory: 52540, decode.loss_ce: 0.1869, decode.acc_seg: 92.3383, loss: 0.1869 +2023-03-04 10:54:05,522 - mmseg - INFO - Iter [146450/160000] lr: 1.172e-06, eta: 0:54:04, time: 0.193, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1845, decode.acc_seg: 92.4030, loss: 0.1845 +2023-03-04 10:54:15,069 - mmseg - INFO - Iter [146500/160000] lr: 1.172e-06, eta: 0:53:52, time: 0.191, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1826, decode.acc_seg: 92.5067, loss: 0.1826 +2023-03-04 10:54:24,659 - mmseg - INFO - Iter [146550/160000] lr: 1.172e-06, eta: 0:53:39, time: 0.192, data_time: 0.006, memory: 52540, decode.loss_ce: 0.1846, decode.acc_seg: 92.5434, loss: 0.1846 +2023-03-04 10:54:34,376 - mmseg - INFO - Iter [146600/160000] lr: 1.172e-06, eta: 0:53:27, time: 0.194, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1760, decode.acc_seg: 92.7761, loss: 0.1760 +2023-03-04 10:54:44,214 - mmseg - INFO - Iter [146650/160000] lr: 1.172e-06, eta: 0:53:15, time: 0.197, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1801, decode.acc_seg: 92.4277, loss: 0.1801 +2023-03-04 10:54:53,777 - mmseg - INFO - Iter [146700/160000] lr: 1.172e-06, eta: 0:53:03, time: 0.191, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1899, decode.acc_seg: 92.4142, loss: 0.1899 +2023-03-04 10:55:03,462 - mmseg - INFO - Iter [146750/160000] lr: 1.172e-06, eta: 0:52:51, time: 0.194, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1834, decode.acc_seg: 92.6016, loss: 0.1834 +2023-03-04 10:55:13,236 - mmseg - INFO - Iter [146800/160000] lr: 1.172e-06, eta: 0:52:39, time: 0.195, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1805, decode.acc_seg: 92.5096, loss: 0.1805 +2023-03-04 10:55:23,208 - mmseg - INFO - Iter [146850/160000] lr: 1.172e-06, eta: 0:52:26, time: 0.199, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1835, decode.acc_seg: 92.4254, loss: 0.1835 +2023-03-04 10:55:32,725 - mmseg - INFO - Iter [146900/160000] lr: 1.172e-06, eta: 0:52:14, time: 0.190, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1857, decode.acc_seg: 92.3050, loss: 0.1857 +2023-03-04 10:55:42,215 - mmseg - INFO - Iter [146950/160000] lr: 1.172e-06, eta: 0:52:02, time: 0.190, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1822, decode.acc_seg: 92.4953, loss: 0.1822 +2023-03-04 10:55:51,846 - mmseg - INFO - Exp name: ablation_segformer_mit_b2_segformer_head_unet_fc_small_multi_step_ade_pretrained_freeze_embed_160k_ade20k151_finetune_ema_cos.py +2023-03-04 10:55:51,846 - mmseg - INFO - Iter [147000/160000] lr: 1.172e-06, eta: 0:51:50, time: 0.193, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1891, decode.acc_seg: 92.3790, loss: 0.1891 +2023-03-04 10:56:03,917 - mmseg - INFO - Iter [147050/160000] lr: 1.172e-06, eta: 0:51:38, time: 0.241, data_time: 0.053, memory: 52540, decode.loss_ce: 0.1906, decode.acc_seg: 92.2120, loss: 0.1906 +2023-03-04 10:56:13,463 - mmseg - INFO - Iter [147100/160000] lr: 1.172e-06, eta: 0:51:26, time: 0.191, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1802, decode.acc_seg: 92.5631, loss: 0.1802 +2023-03-04 10:56:23,348 - mmseg - INFO - Iter [147150/160000] lr: 1.172e-06, eta: 0:51:14, time: 0.198, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1828, decode.acc_seg: 92.5528, loss: 0.1828 +2023-03-04 10:56:33,069 - mmseg - INFO - Iter [147200/160000] lr: 1.172e-06, eta: 0:51:01, time: 0.194, data_time: 0.006, memory: 52540, decode.loss_ce: 0.1912, decode.acc_seg: 92.1128, loss: 0.1912 +2023-03-04 10:56:42,851 - mmseg - INFO - Iter [147250/160000] lr: 1.172e-06, eta: 0:50:49, time: 0.196, data_time: 0.006, memory: 52540, decode.loss_ce: 0.1850, decode.acc_seg: 92.3191, loss: 0.1850 +2023-03-04 10:56:52,544 - mmseg - INFO - Iter [147300/160000] lr: 1.172e-06, eta: 0:50:37, time: 0.194, data_time: 0.006, memory: 52540, decode.loss_ce: 0.1771, decode.acc_seg: 92.7100, loss: 0.1771 +2023-03-04 10:57:02,247 - mmseg - INFO - Iter [147350/160000] lr: 1.172e-06, eta: 0:50:25, time: 0.194, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1787, decode.acc_seg: 92.6005, loss: 0.1787 +2023-03-04 10:57:11,791 - mmseg - INFO - Iter [147400/160000] lr: 1.172e-06, eta: 0:50:13, time: 0.191, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1881, decode.acc_seg: 92.3134, loss: 0.1881 +2023-03-04 10:57:21,602 - mmseg - INFO - Iter [147450/160000] lr: 1.172e-06, eta: 0:50:01, time: 0.196, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1841, decode.acc_seg: 92.3795, loss: 0.1841 +2023-03-04 10:57:31,290 - mmseg - INFO - Iter [147500/160000] lr: 1.172e-06, eta: 0:49:49, time: 0.194, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1793, decode.acc_seg: 92.5222, loss: 0.1793 +2023-03-04 10:57:41,028 - mmseg - INFO - Iter [147550/160000] lr: 1.172e-06, eta: 0:49:36, time: 0.195, data_time: 0.006, memory: 52540, decode.loss_ce: 0.1872, decode.acc_seg: 92.2625, loss: 0.1872 +2023-03-04 10:57:50,746 - mmseg - INFO - Iter [147600/160000] lr: 1.172e-06, eta: 0:49:24, time: 0.194, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1959, decode.acc_seg: 92.1154, loss: 0.1959 +2023-03-04 10:58:00,516 - mmseg - INFO - Iter [147650/160000] lr: 1.172e-06, eta: 0:49:12, time: 0.195, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1786, decode.acc_seg: 92.5890, loss: 0.1786 +2023-03-04 10:58:12,936 - mmseg - INFO - Iter [147700/160000] lr: 1.172e-06, eta: 0:49:00, time: 0.248, data_time: 0.055, memory: 52540, decode.loss_ce: 0.1988, decode.acc_seg: 92.1332, loss: 0.1988 +2023-03-04 10:58:22,489 - mmseg - INFO - Iter [147750/160000] lr: 1.172e-06, eta: 0:48:48, time: 0.191, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1826, decode.acc_seg: 92.5094, loss: 0.1826 +2023-03-04 10:58:32,063 - mmseg - INFO - Iter [147800/160000] lr: 1.172e-06, eta: 0:48:36, time: 0.191, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1923, decode.acc_seg: 92.2721, loss: 0.1923 +2023-03-04 10:58:41,617 - mmseg - INFO - Iter [147850/160000] lr: 1.172e-06, eta: 0:48:24, time: 0.191, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1813, decode.acc_seg: 92.5492, loss: 0.1813 +2023-03-04 10:58:51,295 - mmseg - INFO - Iter [147900/160000] lr: 1.172e-06, eta: 0:48:12, time: 0.194, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1846, decode.acc_seg: 92.4213, loss: 0.1846 +2023-03-04 10:59:00,910 - mmseg - INFO - Iter [147950/160000] lr: 1.172e-06, eta: 0:47:59, time: 0.192, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1793, decode.acc_seg: 92.5209, loss: 0.1793 +2023-03-04 10:59:10,475 - mmseg - INFO - Exp name: ablation_segformer_mit_b2_segformer_head_unet_fc_small_multi_step_ade_pretrained_freeze_embed_160k_ade20k151_finetune_ema_cos.py +2023-03-04 10:59:10,475 - mmseg - INFO - Iter [148000/160000] lr: 1.172e-06, eta: 0:47:47, time: 0.191, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1831, decode.acc_seg: 92.5247, loss: 0.1831 +2023-03-04 10:59:20,017 - mmseg - INFO - Iter [148050/160000] lr: 1.172e-06, eta: 0:47:35, time: 0.191, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1822, decode.acc_seg: 92.5668, loss: 0.1822 +2023-03-04 10:59:29,635 - mmseg - INFO - Iter [148100/160000] lr: 1.172e-06, eta: 0:47:23, time: 0.192, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1857, decode.acc_seg: 92.5229, loss: 0.1857 +2023-03-04 10:59:39,221 - mmseg - INFO - Iter [148150/160000] lr: 1.172e-06, eta: 0:47:11, time: 0.192, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1875, decode.acc_seg: 92.1931, loss: 0.1875 +2023-03-04 10:59:48,737 - mmseg - INFO - Iter [148200/160000] lr: 1.172e-06, eta: 0:46:59, time: 0.190, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1765, decode.acc_seg: 92.7774, loss: 0.1765 +2023-03-04 10:59:58,595 - mmseg - INFO - Iter [148250/160000] lr: 1.172e-06, eta: 0:46:47, time: 0.197, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1855, decode.acc_seg: 92.2870, loss: 0.1855 +2023-03-04 11:00:10,950 - mmseg - INFO - Iter [148300/160000] lr: 1.172e-06, eta: 0:46:35, time: 0.247, data_time: 0.055, memory: 52540, decode.loss_ce: 0.1826, decode.acc_seg: 92.5190, loss: 0.1826 +2023-03-04 11:00:20,586 - mmseg - INFO - Iter [148350/160000] lr: 1.172e-06, eta: 0:46:23, time: 0.193, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1806, decode.acc_seg: 92.5146, loss: 0.1806 +2023-03-04 11:00:30,369 - mmseg - INFO - Iter [148400/160000] lr: 1.172e-06, eta: 0:46:11, time: 0.196, data_time: 0.006, memory: 52540, decode.loss_ce: 0.1868, decode.acc_seg: 92.3970, loss: 0.1868 +2023-03-04 11:00:40,142 - mmseg - INFO - Iter [148450/160000] lr: 1.172e-06, eta: 0:45:58, time: 0.195, data_time: 0.006, memory: 52540, decode.loss_ce: 0.1833, decode.acc_seg: 92.4179, loss: 0.1833 +2023-03-04 11:00:49,800 - mmseg - INFO - Iter [148500/160000] lr: 1.172e-06, eta: 0:45:46, time: 0.193, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1927, decode.acc_seg: 92.0843, loss: 0.1927 +2023-03-04 11:00:59,969 - mmseg - INFO - Iter [148550/160000] lr: 1.172e-06, eta: 0:45:34, time: 0.203, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1929, decode.acc_seg: 92.1742, loss: 0.1929 +2023-03-04 11:01:10,377 - mmseg - INFO - Iter [148600/160000] lr: 1.172e-06, eta: 0:45:22, time: 0.208, data_time: 0.008, memory: 52540, decode.loss_ce: 0.1772, decode.acc_seg: 92.5558, loss: 0.1772 +2023-03-04 11:01:19,983 - mmseg - INFO - Iter [148650/160000] lr: 1.172e-06, eta: 0:45:10, time: 0.192, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1805, decode.acc_seg: 92.4954, loss: 0.1805 +2023-03-04 11:01:29,463 - mmseg - INFO - Iter [148700/160000] lr: 1.172e-06, eta: 0:44:58, time: 0.190, data_time: 0.006, memory: 52540, decode.loss_ce: 0.1824, decode.acc_seg: 92.5021, loss: 0.1824 +2023-03-04 11:01:39,198 - mmseg - INFO - Iter [148750/160000] lr: 1.172e-06, eta: 0:44:46, time: 0.195, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1810, decode.acc_seg: 92.5499, loss: 0.1810 +2023-03-04 11:01:48,807 - mmseg - INFO - Iter [148800/160000] lr: 1.172e-06, eta: 0:44:34, time: 0.192, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1823, decode.acc_seg: 92.4794, loss: 0.1823 +2023-03-04 11:01:58,723 - mmseg - INFO - Iter [148850/160000] lr: 1.172e-06, eta: 0:44:22, time: 0.199, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1806, decode.acc_seg: 92.5431, loss: 0.1806 +2023-03-04 11:02:08,354 - mmseg - INFO - Iter [148900/160000] lr: 1.172e-06, eta: 0:44:09, time: 0.193, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1818, decode.acc_seg: 92.5862, loss: 0.1818 +2023-03-04 11:02:20,739 - mmseg - INFO - Iter [148950/160000] lr: 1.172e-06, eta: 0:43:58, time: 0.248, data_time: 0.054, memory: 52540, decode.loss_ce: 0.1885, decode.acc_seg: 92.1748, loss: 0.1885 +2023-03-04 11:02:30,480 - mmseg - INFO - Exp name: ablation_segformer_mit_b2_segformer_head_unet_fc_small_multi_step_ade_pretrained_freeze_embed_160k_ade20k151_finetune_ema_cos.py +2023-03-04 11:02:30,480 - mmseg - INFO - Iter [149000/160000] lr: 1.172e-06, eta: 0:43:45, time: 0.195, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1897, decode.acc_seg: 92.2886, loss: 0.1897 +2023-03-04 11:02:40,161 - mmseg - INFO - Iter [149050/160000] lr: 1.172e-06, eta: 0:43:33, time: 0.194, data_time: 0.006, memory: 52540, decode.loss_ce: 0.1764, decode.acc_seg: 92.7824, loss: 0.1764 +2023-03-04 11:02:49,752 - mmseg - INFO - Iter [149100/160000] lr: 1.172e-06, eta: 0:43:21, time: 0.192, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1813, decode.acc_seg: 92.4674, loss: 0.1813 +2023-03-04 11:02:59,238 - mmseg - INFO - Iter [149150/160000] lr: 1.172e-06, eta: 0:43:09, time: 0.190, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1789, decode.acc_seg: 92.5651, loss: 0.1789 +2023-03-04 11:03:08,748 - mmseg - INFO - Iter [149200/160000] lr: 1.172e-06, eta: 0:42:57, time: 0.190, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1862, decode.acc_seg: 92.3201, loss: 0.1862 +2023-03-04 11:03:18,313 - mmseg - INFO - Iter [149250/160000] lr: 1.172e-06, eta: 0:42:45, time: 0.191, data_time: 0.006, memory: 52540, decode.loss_ce: 0.1806, decode.acc_seg: 92.5593, loss: 0.1806 +2023-03-04 11:03:28,253 - mmseg - INFO - Iter [149300/160000] lr: 1.172e-06, eta: 0:42:33, time: 0.199, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1939, decode.acc_seg: 92.0890, loss: 0.1939 +2023-03-04 11:03:37,844 - mmseg - INFO - Iter [149350/160000] lr: 1.172e-06, eta: 0:42:21, time: 0.192, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1921, decode.acc_seg: 92.1804, loss: 0.1921 +2023-03-04 11:03:47,353 - mmseg - INFO - Iter [149400/160000] lr: 1.172e-06, eta: 0:42:09, time: 0.190, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1781, decode.acc_seg: 92.6530, loss: 0.1781 +2023-03-04 11:03:56,862 - mmseg - INFO - Iter [149450/160000] lr: 1.172e-06, eta: 0:41:57, time: 0.190, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1846, decode.acc_seg: 92.2599, loss: 0.1846 +2023-03-04 11:04:06,477 - mmseg - INFO - Iter [149500/160000] lr: 1.172e-06, eta: 0:41:44, time: 0.192, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1783, decode.acc_seg: 92.6713, loss: 0.1783 +2023-03-04 11:04:18,601 - mmseg - INFO - Iter [149550/160000] lr: 1.172e-06, eta: 0:41:33, time: 0.242, data_time: 0.056, memory: 52540, decode.loss_ce: 0.1918, decode.acc_seg: 92.1606, loss: 0.1918 +2023-03-04 11:04:28,358 - mmseg - INFO - Iter [149600/160000] lr: 1.172e-06, eta: 0:41:20, time: 0.195, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1871, decode.acc_seg: 92.4014, loss: 0.1871 +2023-03-04 11:04:38,069 - mmseg - INFO - Iter [149650/160000] lr: 1.172e-06, eta: 0:41:08, time: 0.194, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1817, decode.acc_seg: 92.5242, loss: 0.1817 +2023-03-04 11:04:47,756 - mmseg - INFO - Iter [149700/160000] lr: 1.172e-06, eta: 0:40:56, time: 0.193, data_time: 0.006, memory: 52540, decode.loss_ce: 0.1854, decode.acc_seg: 92.3195, loss: 0.1854 +2023-03-04 11:04:57,459 - mmseg - INFO - Iter [149750/160000] lr: 1.172e-06, eta: 0:40:44, time: 0.194, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1831, decode.acc_seg: 92.4300, loss: 0.1831 +2023-03-04 11:05:06,988 - mmseg - INFO - Iter [149800/160000] lr: 1.172e-06, eta: 0:40:32, time: 0.191, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1780, decode.acc_seg: 92.6435, loss: 0.1780 +2023-03-04 11:05:16,681 - mmseg - INFO - Iter [149850/160000] lr: 1.172e-06, eta: 0:40:20, time: 0.194, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1874, decode.acc_seg: 92.3055, loss: 0.1874 +2023-03-04 11:05:26,686 - mmseg - INFO - Iter [149900/160000] lr: 1.172e-06, eta: 0:40:08, time: 0.200, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1817, decode.acc_seg: 92.4871, loss: 0.1817 +2023-03-04 11:05:36,140 - mmseg - INFO - Iter [149950/160000] lr: 1.172e-06, eta: 0:39:56, time: 0.189, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1957, decode.acc_seg: 91.9205, loss: 0.1957 +2023-03-04 11:05:45,694 - mmseg - INFO - Exp name: ablation_segformer_mit_b2_segformer_head_unet_fc_small_multi_step_ade_pretrained_freeze_embed_160k_ade20k151_finetune_ema_cos.py +2023-03-04 11:05:45,694 - mmseg - INFO - Iter [150000/160000] lr: 1.172e-06, eta: 0:39:44, time: 0.191, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1741, decode.acc_seg: 92.7397, loss: 0.1741 +2023-03-04 11:05:55,491 - mmseg - INFO - Iter [150050/160000] lr: 1.172e-06, eta: 0:39:32, time: 0.196, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1810, decode.acc_seg: 92.4592, loss: 0.1810 +2023-03-04 11:06:05,001 - mmseg - INFO - Iter [150100/160000] lr: 1.172e-06, eta: 0:39:20, time: 0.190, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1836, decode.acc_seg: 92.5225, loss: 0.1836 +2023-03-04 11:06:15,386 - mmseg - INFO - Iter [150150/160000] lr: 1.172e-06, eta: 0:39:08, time: 0.208, data_time: 0.006, memory: 52540, decode.loss_ce: 0.1840, decode.acc_seg: 92.4040, loss: 0.1840 +2023-03-04 11:06:27,704 - mmseg - INFO - Iter [150200/160000] lr: 1.172e-06, eta: 0:38:56, time: 0.246, data_time: 0.054, memory: 52540, decode.loss_ce: 0.1777, decode.acc_seg: 92.5986, loss: 0.1777 +2023-03-04 11:06:37,583 - mmseg - INFO - Iter [150250/160000] lr: 1.172e-06, eta: 0:38:44, time: 0.198, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1778, decode.acc_seg: 92.7025, loss: 0.1778 +2023-03-04 11:06:47,244 - mmseg - INFO - Iter [150300/160000] lr: 1.172e-06, eta: 0:38:32, time: 0.193, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1844, decode.acc_seg: 92.4762, loss: 0.1844 +2023-03-04 11:06:56,774 - mmseg - INFO - Iter [150350/160000] lr: 1.172e-06, eta: 0:38:20, time: 0.191, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1825, decode.acc_seg: 92.4423, loss: 0.1825 +2023-03-04 11:07:06,398 - mmseg - INFO - Iter [150400/160000] lr: 1.172e-06, eta: 0:38:08, time: 0.192, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1796, decode.acc_seg: 92.5800, loss: 0.1796 +2023-03-04 11:07:16,015 - mmseg - INFO - Iter [150450/160000] lr: 1.172e-06, eta: 0:37:55, time: 0.192, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1798, decode.acc_seg: 92.6233, loss: 0.1798 +2023-03-04 11:07:25,707 - mmseg - INFO - Iter [150500/160000] lr: 1.172e-06, eta: 0:37:43, time: 0.194, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1764, decode.acc_seg: 92.6154, loss: 0.1764 +2023-03-04 11:07:35,227 - mmseg - INFO - Iter [150550/160000] lr: 1.172e-06, eta: 0:37:31, time: 0.190, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1850, decode.acc_seg: 92.4853, loss: 0.1850 +2023-03-04 11:07:45,377 - mmseg - INFO - Iter [150600/160000] lr: 1.172e-06, eta: 0:37:19, time: 0.203, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1921, decode.acc_seg: 92.0417, loss: 0.1921 +2023-03-04 11:07:54,988 - mmseg - INFO - Iter [150650/160000] lr: 1.172e-06, eta: 0:37:07, time: 0.192, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1854, decode.acc_seg: 92.4705, loss: 0.1854 +2023-03-04 11:08:04,605 - mmseg - INFO - Iter [150700/160000] lr: 1.172e-06, eta: 0:36:55, time: 0.192, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1820, decode.acc_seg: 92.5042, loss: 0.1820 +2023-03-04 11:08:14,476 - mmseg - INFO - Iter [150750/160000] lr: 1.172e-06, eta: 0:36:43, time: 0.197, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1879, decode.acc_seg: 92.1999, loss: 0.1879 +2023-03-04 11:08:24,026 - mmseg - INFO - Iter [150800/160000] lr: 1.172e-06, eta: 0:36:31, time: 0.191, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1803, decode.acc_seg: 92.3987, loss: 0.1803 +2023-03-04 11:08:36,142 - mmseg - INFO - Iter [150850/160000] lr: 1.172e-06, eta: 0:36:19, time: 0.242, data_time: 0.055, memory: 52540, decode.loss_ce: 0.1823, decode.acc_seg: 92.5086, loss: 0.1823 +2023-03-04 11:08:45,828 - mmseg - INFO - Iter [150900/160000] lr: 1.172e-06, eta: 0:36:07, time: 0.194, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1775, decode.acc_seg: 92.6357, loss: 0.1775 +2023-03-04 11:08:55,829 - mmseg - INFO - Iter [150950/160000] lr: 1.172e-06, eta: 0:35:55, time: 0.200, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1882, decode.acc_seg: 92.2809, loss: 0.1882 +2023-03-04 11:09:05,742 - mmseg - INFO - Exp name: ablation_segformer_mit_b2_segformer_head_unet_fc_small_multi_step_ade_pretrained_freeze_embed_160k_ade20k151_finetune_ema_cos.py +2023-03-04 11:09:05,742 - mmseg - INFO - Iter [151000/160000] lr: 1.172e-06, eta: 0:35:43, time: 0.198, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1824, decode.acc_seg: 92.4688, loss: 0.1824 +2023-03-04 11:09:15,613 - mmseg - INFO - Iter [151050/160000] lr: 1.172e-06, eta: 0:35:31, time: 0.197, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1849, decode.acc_seg: 92.4086, loss: 0.1849 +2023-03-04 11:09:25,395 - mmseg - INFO - Iter [151100/160000] lr: 1.172e-06, eta: 0:35:19, time: 0.196, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1852, decode.acc_seg: 92.3505, loss: 0.1852 +2023-03-04 11:09:35,263 - mmseg - INFO - Iter [151150/160000] lr: 1.172e-06, eta: 0:35:07, time: 0.197, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1848, decode.acc_seg: 92.3548, loss: 0.1848 +2023-03-04 11:09:45,078 - mmseg - INFO - Iter [151200/160000] lr: 1.172e-06, eta: 0:34:55, time: 0.196, data_time: 0.006, memory: 52540, decode.loss_ce: 0.1835, decode.acc_seg: 92.4730, loss: 0.1835 +2023-03-04 11:09:54,819 - mmseg - INFO - Iter [151250/160000] lr: 1.172e-06, eta: 0:34:43, time: 0.195, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1839, decode.acc_seg: 92.4156, loss: 0.1839 +2023-03-04 11:10:04,474 - mmseg - INFO - Iter [151300/160000] lr: 1.172e-06, eta: 0:34:31, time: 0.193, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1802, decode.acc_seg: 92.4807, loss: 0.1802 +2023-03-04 11:10:14,030 - mmseg - INFO - Iter [151350/160000] lr: 1.172e-06, eta: 0:34:19, time: 0.191, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1719, decode.acc_seg: 92.7618, loss: 0.1719 +2023-03-04 11:10:23,949 - mmseg - INFO - Iter [151400/160000] lr: 1.172e-06, eta: 0:34:07, time: 0.198, data_time: 0.006, memory: 52540, decode.loss_ce: 0.1835, decode.acc_seg: 92.4299, loss: 0.1835 +2023-03-04 11:10:36,208 - mmseg - INFO - Iter [151450/160000] lr: 1.172e-06, eta: 0:33:55, time: 0.245, data_time: 0.055, memory: 52540, decode.loss_ce: 0.1821, decode.acc_seg: 92.4713, loss: 0.1821 +2023-03-04 11:10:45,823 - mmseg - INFO - Iter [151500/160000] lr: 1.172e-06, eta: 0:33:43, time: 0.192, data_time: 0.006, memory: 52540, decode.loss_ce: 0.1820, decode.acc_seg: 92.3416, loss: 0.1820 +2023-03-04 11:10:55,327 - mmseg - INFO - Iter [151550/160000] lr: 1.172e-06, eta: 0:33:31, time: 0.190, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1798, decode.acc_seg: 92.6987, loss: 0.1798 +2023-03-04 11:11:04,882 - mmseg - INFO - Iter [151600/160000] lr: 1.172e-06, eta: 0:33:19, time: 0.191, data_time: 0.006, memory: 52540, decode.loss_ce: 0.1825, decode.acc_seg: 92.4114, loss: 0.1825 +2023-03-04 11:11:14,895 - mmseg - INFO - Iter [151650/160000] lr: 1.172e-06, eta: 0:33:07, time: 0.200, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1839, decode.acc_seg: 92.4431, loss: 0.1839 +2023-03-04 11:11:24,442 - mmseg - INFO - Iter [151700/160000] lr: 1.172e-06, eta: 0:32:55, time: 0.191, data_time: 0.006, memory: 52540, decode.loss_ce: 0.1802, decode.acc_seg: 92.4711, loss: 0.1802 +2023-03-04 11:11:34,080 - mmseg - INFO - Iter [151750/160000] lr: 1.172e-06, eta: 0:32:43, time: 0.193, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1753, decode.acc_seg: 92.7706, loss: 0.1753 +2023-03-04 11:11:43,724 - mmseg - INFO - Iter [151800/160000] lr: 1.172e-06, eta: 0:32:31, time: 0.193, data_time: 0.006, memory: 52540, decode.loss_ce: 0.1924, decode.acc_seg: 92.1798, loss: 0.1924 +2023-03-04 11:11:53,372 - mmseg - INFO - Iter [151850/160000] lr: 1.172e-06, eta: 0:32:19, time: 0.193, data_time: 0.006, memory: 52540, decode.loss_ce: 0.1890, decode.acc_seg: 92.1674, loss: 0.1890 +2023-03-04 11:12:03,055 - mmseg - INFO - Iter [151900/160000] lr: 1.172e-06, eta: 0:32:07, time: 0.194, data_time: 0.006, memory: 52540, decode.loss_ce: 0.1794, decode.acc_seg: 92.5676, loss: 0.1794 +2023-03-04 11:12:12,550 - mmseg - INFO - Iter [151950/160000] lr: 1.172e-06, eta: 0:31:55, time: 0.190, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1813, decode.acc_seg: 92.5658, loss: 0.1813 +2023-03-04 11:12:22,508 - mmseg - INFO - Exp name: ablation_segformer_mit_b2_segformer_head_unet_fc_small_multi_step_ade_pretrained_freeze_embed_160k_ade20k151_finetune_ema_cos.py +2023-03-04 11:12:22,508 - mmseg - INFO - Iter [152000/160000] lr: 1.172e-06, eta: 0:31:43, time: 0.199, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1871, decode.acc_seg: 92.0877, loss: 0.1871 +2023-03-04 11:12:32,038 - mmseg - INFO - Iter [152050/160000] lr: 1.172e-06, eta: 0:31:31, time: 0.191, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1887, decode.acc_seg: 92.2708, loss: 0.1887 +2023-03-04 11:12:44,341 - mmseg - INFO - Iter [152100/160000] lr: 1.172e-06, eta: 0:31:19, time: 0.246, data_time: 0.057, memory: 52540, decode.loss_ce: 0.1810, decode.acc_seg: 92.5259, loss: 0.1810 +2023-03-04 11:12:54,033 - mmseg - INFO - Iter [152150/160000] lr: 1.172e-06, eta: 0:31:07, time: 0.194, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1927, decode.acc_seg: 92.0701, loss: 0.1927 +2023-03-04 11:13:03,931 - mmseg - INFO - Iter [152200/160000] lr: 1.172e-06, eta: 0:30:55, time: 0.198, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1812, decode.acc_seg: 92.4758, loss: 0.1812 +2023-03-04 11:13:13,410 - mmseg - INFO - Iter [152250/160000] lr: 1.172e-06, eta: 0:30:43, time: 0.190, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1849, decode.acc_seg: 92.4687, loss: 0.1849 +2023-03-04 11:13:23,618 - mmseg - INFO - Iter [152300/160000] lr: 1.172e-06, eta: 0:30:31, time: 0.204, data_time: 0.006, memory: 52540, decode.loss_ce: 0.1812, decode.acc_seg: 92.5805, loss: 0.1812 +2023-03-04 11:13:33,128 - mmseg - INFO - Iter [152350/160000] lr: 1.172e-06, eta: 0:30:19, time: 0.190, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1846, decode.acc_seg: 92.4667, loss: 0.1846 +2023-03-04 11:13:42,932 - mmseg - INFO - Iter [152400/160000] lr: 1.172e-06, eta: 0:30:07, time: 0.196, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1789, decode.acc_seg: 92.6520, loss: 0.1789 +2023-03-04 11:13:52,601 - mmseg - INFO - Iter [152450/160000] lr: 1.172e-06, eta: 0:29:55, time: 0.193, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1815, decode.acc_seg: 92.5421, loss: 0.1815 +2023-03-04 11:14:02,290 - mmseg - INFO - Iter [152500/160000] lr: 1.172e-06, eta: 0:29:43, time: 0.194, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1850, decode.acc_seg: 92.4694, loss: 0.1850 +2023-03-04 11:14:11,785 - mmseg - INFO - Iter [152550/160000] lr: 1.172e-06, eta: 0:29:31, time: 0.190, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1801, decode.acc_seg: 92.5185, loss: 0.1801 +2023-03-04 11:14:21,464 - mmseg - INFO - Iter [152600/160000] lr: 1.172e-06, eta: 0:29:19, time: 0.194, data_time: 0.006, memory: 52540, decode.loss_ce: 0.1755, decode.acc_seg: 92.6095, loss: 0.1755 +2023-03-04 11:14:31,051 - mmseg - INFO - Iter [152650/160000] lr: 1.172e-06, eta: 0:29:07, time: 0.192, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1799, decode.acc_seg: 92.6240, loss: 0.1799 +2023-03-04 11:14:40,607 - mmseg - INFO - Iter [152700/160000] lr: 1.172e-06, eta: 0:28:55, time: 0.191, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1873, decode.acc_seg: 92.3553, loss: 0.1873 +2023-03-04 11:14:52,741 - mmseg - INFO - Iter [152750/160000] lr: 1.172e-06, eta: 0:28:43, time: 0.243, data_time: 0.054, memory: 52540, decode.loss_ce: 0.1840, decode.acc_seg: 92.4644, loss: 0.1840 +2023-03-04 11:15:02,729 - mmseg - INFO - Iter [152800/160000] lr: 1.172e-06, eta: 0:28:31, time: 0.200, data_time: 0.006, memory: 52540, decode.loss_ce: 0.1849, decode.acc_seg: 92.3657, loss: 0.1849 +2023-03-04 11:15:12,258 - mmseg - INFO - Iter [152850/160000] lr: 1.172e-06, eta: 0:28:19, time: 0.191, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1838, decode.acc_seg: 92.3899, loss: 0.1838 +2023-03-04 11:15:22,364 - mmseg - INFO - Iter [152900/160000] lr: 1.172e-06, eta: 0:28:07, time: 0.202, data_time: 0.006, memory: 52540, decode.loss_ce: 0.1908, decode.acc_seg: 92.2323, loss: 0.1908 +2023-03-04 11:15:32,180 - mmseg - INFO - Iter [152950/160000] lr: 1.172e-06, eta: 0:27:55, time: 0.196, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1857, decode.acc_seg: 92.4128, loss: 0.1857 +2023-03-04 11:15:41,808 - mmseg - INFO - Exp name: ablation_segformer_mit_b2_segformer_head_unet_fc_small_multi_step_ade_pretrained_freeze_embed_160k_ade20k151_finetune_ema_cos.py +2023-03-04 11:15:41,809 - mmseg - INFO - Iter [153000/160000] lr: 1.172e-06, eta: 0:27:43, time: 0.193, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1907, decode.acc_seg: 92.2974, loss: 0.1907 +2023-03-04 11:15:51,299 - mmseg - INFO - Iter [153050/160000] lr: 1.172e-06, eta: 0:27:31, time: 0.190, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1900, decode.acc_seg: 92.1580, loss: 0.1900 +2023-03-04 11:16:01,181 - mmseg - INFO - Iter [153100/160000] lr: 1.172e-06, eta: 0:27:19, time: 0.198, data_time: 0.006, memory: 52540, decode.loss_ce: 0.1799, decode.acc_seg: 92.5541, loss: 0.1799 +2023-03-04 11:16:10,703 - mmseg - INFO - Iter [153150/160000] lr: 1.172e-06, eta: 0:27:07, time: 0.190, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1813, decode.acc_seg: 92.4792, loss: 0.1813 +2023-03-04 11:16:20,823 - mmseg - INFO - Iter [153200/160000] lr: 1.172e-06, eta: 0:26:55, time: 0.202, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1797, decode.acc_seg: 92.5756, loss: 0.1797 +2023-03-04 11:16:30,657 - mmseg - INFO - Iter [153250/160000] lr: 1.172e-06, eta: 0:26:43, time: 0.197, data_time: 0.006, memory: 52540, decode.loss_ce: 0.1825, decode.acc_seg: 92.5104, loss: 0.1825 +2023-03-04 11:16:40,277 - mmseg - INFO - Iter [153300/160000] lr: 1.172e-06, eta: 0:26:31, time: 0.192, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1853, decode.acc_seg: 92.2798, loss: 0.1853 +2023-03-04 11:16:52,472 - mmseg - INFO - Iter [153350/160000] lr: 1.172e-06, eta: 0:26:19, time: 0.244, data_time: 0.054, memory: 52540, decode.loss_ce: 0.1899, decode.acc_seg: 92.1245, loss: 0.1899 +2023-03-04 11:17:02,552 - mmseg - INFO - Iter [153400/160000] lr: 1.172e-06, eta: 0:26:07, time: 0.202, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1924, decode.acc_seg: 92.1237, loss: 0.1924 +2023-03-04 11:17:12,076 - mmseg - INFO - Iter [153450/160000] lr: 1.172e-06, eta: 0:25:55, time: 0.190, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1850, decode.acc_seg: 92.5068, loss: 0.1850 +2023-03-04 11:17:21,819 - mmseg - INFO - Iter [153500/160000] lr: 1.172e-06, eta: 0:25:43, time: 0.195, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1741, decode.acc_seg: 92.7180, loss: 0.1741 +2023-03-04 11:17:31,407 - mmseg - INFO - Iter [153550/160000] lr: 1.172e-06, eta: 0:25:31, time: 0.192, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1820, decode.acc_seg: 92.5687, loss: 0.1820 +2023-03-04 11:17:41,111 - mmseg - INFO - Iter [153600/160000] lr: 1.172e-06, eta: 0:25:20, time: 0.194, data_time: 0.006, memory: 52540, decode.loss_ce: 0.1854, decode.acc_seg: 92.3506, loss: 0.1854 +2023-03-04 11:17:50,701 - mmseg - INFO - Iter [153650/160000] lr: 1.172e-06, eta: 0:25:08, time: 0.192, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1893, decode.acc_seg: 92.2755, loss: 0.1893 +2023-03-04 11:18:00,237 - mmseg - INFO - Iter [153700/160000] lr: 1.172e-06, eta: 0:24:56, time: 0.191, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1818, decode.acc_seg: 92.4212, loss: 0.1818 +2023-03-04 11:18:10,001 - mmseg - INFO - Iter [153750/160000] lr: 1.172e-06, eta: 0:24:44, time: 0.195, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1817, decode.acc_seg: 92.5756, loss: 0.1817 +2023-03-04 11:18:19,522 - mmseg - INFO - Iter [153800/160000] lr: 1.172e-06, eta: 0:24:32, time: 0.190, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1794, decode.acc_seg: 92.5491, loss: 0.1794 +2023-03-04 11:18:28,978 - mmseg - INFO - Iter [153850/160000] lr: 1.172e-06, eta: 0:24:20, time: 0.189, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1801, decode.acc_seg: 92.5596, loss: 0.1801 +2023-03-04 11:18:38,498 - mmseg - INFO - Iter [153900/160000] lr: 1.172e-06, eta: 0:24:08, time: 0.190, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1936, decode.acc_seg: 92.2981, loss: 0.1936 +2023-03-04 11:18:48,270 - mmseg - INFO - Iter [153950/160000] lr: 1.172e-06, eta: 0:23:56, time: 0.195, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1894, decode.acc_seg: 92.3788, loss: 0.1894 +2023-03-04 11:19:00,469 - mmseg - INFO - Exp name: ablation_segformer_mit_b2_segformer_head_unet_fc_small_multi_step_ade_pretrained_freeze_embed_160k_ade20k151_finetune_ema_cos.py +2023-03-04 11:19:00,469 - mmseg - INFO - Iter [154000/160000] lr: 1.172e-06, eta: 0:23:44, time: 0.244, data_time: 0.054, memory: 52540, decode.loss_ce: 0.1788, decode.acc_seg: 92.7513, loss: 0.1788 +2023-03-04 11:19:10,403 - mmseg - INFO - Iter [154050/160000] lr: 1.172e-06, eta: 0:23:32, time: 0.199, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1797, decode.acc_seg: 92.4740, loss: 0.1797 +2023-03-04 11:19:20,286 - mmseg - INFO - Iter [154100/160000] lr: 1.172e-06, eta: 0:23:20, time: 0.198, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1904, decode.acc_seg: 92.2256, loss: 0.1904 +2023-03-04 11:19:29,998 - mmseg - INFO - Iter [154150/160000] lr: 1.172e-06, eta: 0:23:08, time: 0.194, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1878, decode.acc_seg: 92.3577, loss: 0.1878 +2023-03-04 11:19:39,514 - mmseg - INFO - Iter [154200/160000] lr: 1.172e-06, eta: 0:22:56, time: 0.190, data_time: 0.006, memory: 52540, decode.loss_ce: 0.1868, decode.acc_seg: 92.2603, loss: 0.1868 +2023-03-04 11:19:49,127 - mmseg - INFO - Iter [154250/160000] lr: 1.172e-06, eta: 0:22:44, time: 0.192, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1791, decode.acc_seg: 92.5816, loss: 0.1791 +2023-03-04 11:19:58,944 - mmseg - INFO - Iter [154300/160000] lr: 1.172e-06, eta: 0:22:32, time: 0.196, data_time: 0.006, memory: 52540, decode.loss_ce: 0.1906, decode.acc_seg: 92.2179, loss: 0.1906 +2023-03-04 11:20:08,948 - mmseg - INFO - Iter [154350/160000] lr: 1.172e-06, eta: 0:22:20, time: 0.200, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1797, decode.acc_seg: 92.5612, loss: 0.1797 +2023-03-04 11:20:19,213 - mmseg - INFO - Iter [154400/160000] lr: 1.172e-06, eta: 0:22:08, time: 0.205, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1820, decode.acc_seg: 92.5659, loss: 0.1820 +2023-03-04 11:20:29,298 - mmseg - INFO - Iter [154450/160000] lr: 1.172e-06, eta: 0:21:56, time: 0.202, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1821, decode.acc_seg: 92.4761, loss: 0.1821 +2023-03-04 11:20:38,943 - mmseg - INFO - Iter [154500/160000] lr: 1.172e-06, eta: 0:21:44, time: 0.193, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1829, decode.acc_seg: 92.2678, loss: 0.1829 +2023-03-04 11:20:48,890 - mmseg - INFO - Iter [154550/160000] lr: 1.172e-06, eta: 0:21:33, time: 0.199, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1844, decode.acc_seg: 92.5054, loss: 0.1844 +2023-03-04 11:21:00,933 - mmseg - INFO - Iter [154600/160000] lr: 1.172e-06, eta: 0:21:21, time: 0.241, data_time: 0.052, memory: 52540, decode.loss_ce: 0.1843, decode.acc_seg: 92.2835, loss: 0.1843 +2023-03-04 11:21:10,502 - mmseg - INFO - Iter [154650/160000] lr: 1.172e-06, eta: 0:21:09, time: 0.191, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1859, decode.acc_seg: 92.4188, loss: 0.1859 +2023-03-04 11:21:20,221 - mmseg - INFO - Iter [154700/160000] lr: 1.172e-06, eta: 0:20:57, time: 0.194, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1839, decode.acc_seg: 92.3900, loss: 0.1839 +2023-03-04 11:21:29,873 - mmseg - INFO - Iter [154750/160000] lr: 1.172e-06, eta: 0:20:45, time: 0.193, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1878, decode.acc_seg: 92.3123, loss: 0.1878 +2023-03-04 11:21:39,746 - mmseg - INFO - Iter [154800/160000] lr: 1.172e-06, eta: 0:20:33, time: 0.197, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1783, decode.acc_seg: 92.6844, loss: 0.1783 +2023-03-04 11:21:49,522 - mmseg - INFO - Iter [154850/160000] lr: 1.172e-06, eta: 0:20:21, time: 0.196, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1816, decode.acc_seg: 92.6468, loss: 0.1816 +2023-03-04 11:21:59,200 - mmseg - INFO - Iter [154900/160000] lr: 1.172e-06, eta: 0:20:09, time: 0.194, data_time: 0.006, memory: 52540, decode.loss_ce: 0.1818, decode.acc_seg: 92.5836, loss: 0.1818 +2023-03-04 11:22:08,771 - mmseg - INFO - Iter [154950/160000] lr: 1.172e-06, eta: 0:19:57, time: 0.191, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1798, decode.acc_seg: 92.5275, loss: 0.1798 +2023-03-04 11:22:18,587 - mmseg - INFO - Exp name: ablation_segformer_mit_b2_segformer_head_unet_fc_small_multi_step_ade_pretrained_freeze_embed_160k_ade20k151_finetune_ema_cos.py +2023-03-04 11:22:18,587 - mmseg - INFO - Iter [155000/160000] lr: 1.172e-06, eta: 0:19:45, time: 0.196, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1854, decode.acc_seg: 92.2662, loss: 0.1854 +2023-03-04 11:22:28,234 - mmseg - INFO - Iter [155050/160000] lr: 1.172e-06, eta: 0:19:33, time: 0.193, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1811, decode.acc_seg: 92.5772, loss: 0.1811 +2023-03-04 11:22:37,978 - mmseg - INFO - Iter [155100/160000] lr: 1.172e-06, eta: 0:19:21, time: 0.195, data_time: 0.006, memory: 52540, decode.loss_ce: 0.1848, decode.acc_seg: 92.3814, loss: 0.1848 +2023-03-04 11:22:47,963 - mmseg - INFO - Iter [155150/160000] lr: 1.172e-06, eta: 0:19:09, time: 0.199, data_time: 0.006, memory: 52540, decode.loss_ce: 0.1890, decode.acc_seg: 92.1887, loss: 0.1890 +2023-03-04 11:22:57,749 - mmseg - INFO - Iter [155200/160000] lr: 1.172e-06, eta: 0:18:58, time: 0.196, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1860, decode.acc_seg: 92.4620, loss: 0.1860 +2023-03-04 11:23:09,755 - mmseg - INFO - Iter [155250/160000] lr: 1.172e-06, eta: 0:18:46, time: 0.240, data_time: 0.054, memory: 52540, decode.loss_ce: 0.1882, decode.acc_seg: 92.3692, loss: 0.1882 +2023-03-04 11:23:19,394 - mmseg - INFO - Iter [155300/160000] lr: 1.172e-06, eta: 0:18:34, time: 0.193, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1835, decode.acc_seg: 92.3744, loss: 0.1835 +2023-03-04 11:23:29,029 - mmseg - INFO - Iter [155350/160000] lr: 1.172e-06, eta: 0:18:22, time: 0.193, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1809, decode.acc_seg: 92.5675, loss: 0.1809 +2023-03-04 11:23:38,812 - mmseg - INFO - Iter [155400/160000] lr: 1.172e-06, eta: 0:18:10, time: 0.195, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1852, decode.acc_seg: 92.3621, loss: 0.1852 +2023-03-04 11:23:48,398 - mmseg - INFO - Iter [155450/160000] lr: 1.172e-06, eta: 0:17:58, time: 0.192, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1919, decode.acc_seg: 92.2702, loss: 0.1919 +2023-03-04 11:23:58,111 - mmseg - INFO - Iter [155500/160000] lr: 1.172e-06, eta: 0:17:46, time: 0.194, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1835, decode.acc_seg: 92.4564, loss: 0.1835 +2023-03-04 11:24:07,660 - mmseg - INFO - Iter [155550/160000] lr: 1.172e-06, eta: 0:17:34, time: 0.191, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1906, decode.acc_seg: 92.3058, loss: 0.1906 +2023-03-04 11:24:17,161 - mmseg - INFO - Iter [155600/160000] lr: 1.172e-06, eta: 0:17:22, time: 0.190, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1882, decode.acc_seg: 92.3199, loss: 0.1882 +2023-03-04 11:24:27,406 - mmseg - INFO - Iter [155650/160000] lr: 1.172e-06, eta: 0:17:10, time: 0.205, data_time: 0.006, memory: 52540, decode.loss_ce: 0.1840, decode.acc_seg: 92.3726, loss: 0.1840 +2023-03-04 11:24:36,936 - mmseg - INFO - Iter [155700/160000] lr: 1.172e-06, eta: 0:16:58, time: 0.191, data_time: 0.006, memory: 52540, decode.loss_ce: 0.1894, decode.acc_seg: 92.3293, loss: 0.1894 +2023-03-04 11:24:46,617 - mmseg - INFO - Iter [155750/160000] lr: 1.172e-06, eta: 0:16:47, time: 0.194, data_time: 0.006, memory: 52540, decode.loss_ce: 0.1898, decode.acc_seg: 92.2627, loss: 0.1898 +2023-03-04 11:24:56,228 - mmseg - INFO - Iter [155800/160000] lr: 1.172e-06, eta: 0:16:35, time: 0.192, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1837, decode.acc_seg: 92.2947, loss: 0.1837 +2023-03-04 11:25:05,814 - mmseg - INFO - Iter [155850/160000] lr: 1.172e-06, eta: 0:16:23, time: 0.192, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1887, decode.acc_seg: 92.2775, loss: 0.1887 +2023-03-04 11:25:17,898 - mmseg - INFO - Iter [155900/160000] lr: 1.172e-06, eta: 0:16:11, time: 0.242, data_time: 0.055, memory: 52540, decode.loss_ce: 0.1790, decode.acc_seg: 92.6576, loss: 0.1790 +2023-03-04 11:25:27,550 - mmseg - INFO - Iter [155950/160000] lr: 1.172e-06, eta: 0:15:59, time: 0.193, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1845, decode.acc_seg: 92.5021, loss: 0.1845 +2023-03-04 11:25:37,443 - mmseg - INFO - Exp name: ablation_segformer_mit_b2_segformer_head_unet_fc_small_multi_step_ade_pretrained_freeze_embed_160k_ade20k151_finetune_ema_cos.py +2023-03-04 11:25:37,443 - mmseg - INFO - Iter [156000/160000] lr: 1.172e-06, eta: 0:15:47, time: 0.198, data_time: 0.006, memory: 52540, decode.loss_ce: 0.1825, decode.acc_seg: 92.6020, loss: 0.1825 +2023-03-04 11:25:47,277 - mmseg - INFO - Iter [156050/160000] lr: 1.172e-06, eta: 0:15:35, time: 0.196, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1834, decode.acc_seg: 92.3447, loss: 0.1834 +2023-03-04 11:25:56,799 - mmseg - INFO - Iter [156100/160000] lr: 1.172e-06, eta: 0:15:23, time: 0.191, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1812, decode.acc_seg: 92.4739, loss: 0.1812 +2023-03-04 11:26:06,555 - mmseg - INFO - Iter [156150/160000] lr: 1.172e-06, eta: 0:15:11, time: 0.195, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1779, decode.acc_seg: 92.6691, loss: 0.1779 +2023-03-04 11:26:16,370 - mmseg - INFO - Iter [156200/160000] lr: 1.172e-06, eta: 0:15:00, time: 0.196, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1894, decode.acc_seg: 92.2319, loss: 0.1894 +2023-03-04 11:26:26,490 - mmseg - INFO - Iter [156250/160000] lr: 1.172e-06, eta: 0:14:48, time: 0.202, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1815, decode.acc_seg: 92.4841, loss: 0.1815 +2023-03-04 11:26:36,088 - mmseg - INFO - Iter [156300/160000] lr: 1.172e-06, eta: 0:14:36, time: 0.192, data_time: 0.006, memory: 52540, decode.loss_ce: 0.1849, decode.acc_seg: 92.5182, loss: 0.1849 +2023-03-04 11:26:45,592 - mmseg - INFO - Iter [156350/160000] lr: 1.172e-06, eta: 0:14:24, time: 0.190, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1843, decode.acc_seg: 92.4069, loss: 0.1843 +2023-03-04 11:26:55,470 - mmseg - INFO - Iter [156400/160000] lr: 1.172e-06, eta: 0:14:12, time: 0.198, data_time: 0.006, memory: 52540, decode.loss_ce: 0.1856, decode.acc_seg: 92.3550, loss: 0.1856 +2023-03-04 11:27:05,210 - mmseg - INFO - Iter [156450/160000] lr: 1.172e-06, eta: 0:14:00, time: 0.195, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1790, decode.acc_seg: 92.6891, loss: 0.1790 +2023-03-04 11:27:17,362 - mmseg - INFO - Iter [156500/160000] lr: 1.172e-06, eta: 0:13:48, time: 0.243, data_time: 0.055, memory: 52540, decode.loss_ce: 0.1805, decode.acc_seg: 92.5647, loss: 0.1805 +2023-03-04 11:27:27,215 - mmseg - INFO - Iter [156550/160000] lr: 1.172e-06, eta: 0:13:36, time: 0.197, data_time: 0.006, memory: 52540, decode.loss_ce: 0.1893, decode.acc_seg: 92.2103, loss: 0.1893 +2023-03-04 11:27:36,724 - mmseg - INFO - Iter [156600/160000] lr: 1.172e-06, eta: 0:13:24, time: 0.190, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1773, decode.acc_seg: 92.7301, loss: 0.1773 +2023-03-04 11:27:46,206 - mmseg - INFO - Iter [156650/160000] lr: 1.172e-06, eta: 0:13:13, time: 0.190, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1818, decode.acc_seg: 92.4620, loss: 0.1818 +2023-03-04 11:27:55,803 - mmseg - INFO - Iter [156700/160000] lr: 1.172e-06, eta: 0:13:01, time: 0.192, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1797, decode.acc_seg: 92.5113, loss: 0.1797 +2023-03-04 11:28:05,406 - mmseg - INFO - Iter [156750/160000] lr: 1.172e-06, eta: 0:12:49, time: 0.192, data_time: 0.006, memory: 52540, decode.loss_ce: 0.1781, decode.acc_seg: 92.7578, loss: 0.1781 +2023-03-04 11:28:15,036 - mmseg - INFO - Iter [156800/160000] lr: 1.172e-06, eta: 0:12:37, time: 0.193, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1863, decode.acc_seg: 92.4047, loss: 0.1863 +2023-03-04 11:28:24,694 - mmseg - INFO - Iter [156850/160000] lr: 1.172e-06, eta: 0:12:25, time: 0.193, data_time: 0.006, memory: 52540, decode.loss_ce: 0.1897, decode.acc_seg: 92.0988, loss: 0.1897 +2023-03-04 11:28:34,288 - mmseg - INFO - Iter [156900/160000] lr: 1.172e-06, eta: 0:12:13, time: 0.192, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1811, decode.acc_seg: 92.5257, loss: 0.1811 +2023-03-04 11:28:43,825 - mmseg - INFO - Iter [156950/160000] lr: 1.172e-06, eta: 0:12:01, time: 0.191, data_time: 0.006, memory: 52540, decode.loss_ce: 0.1816, decode.acc_seg: 92.5008, loss: 0.1816 +2023-03-04 11:28:53,364 - mmseg - INFO - Exp name: ablation_segformer_mit_b2_segformer_head_unet_fc_small_multi_step_ade_pretrained_freeze_embed_160k_ade20k151_finetune_ema_cos.py +2023-03-04 11:28:53,364 - mmseg - INFO - Iter [157000/160000] lr: 1.172e-06, eta: 0:11:49, time: 0.191, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1883, decode.acc_seg: 92.3076, loss: 0.1883 +2023-03-04 11:29:02,909 - mmseg - INFO - Iter [157050/160000] lr: 1.172e-06, eta: 0:11:38, time: 0.191, data_time: 0.006, memory: 52540, decode.loss_ce: 0.1852, decode.acc_seg: 92.3939, loss: 0.1852 +2023-03-04 11:29:12,536 - mmseg - INFO - Iter [157100/160000] lr: 1.172e-06, eta: 0:11:26, time: 0.193, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1834, decode.acc_seg: 92.4665, loss: 0.1834 +2023-03-04 11:29:24,625 - mmseg - INFO - Iter [157150/160000] lr: 1.172e-06, eta: 0:11:14, time: 0.242, data_time: 0.054, memory: 52540, decode.loss_ce: 0.1791, decode.acc_seg: 92.5002, loss: 0.1791 +2023-03-04 11:29:34,434 - mmseg - INFO - Iter [157200/160000] lr: 1.172e-06, eta: 0:11:02, time: 0.196, data_time: 0.006, memory: 52540, decode.loss_ce: 0.1827, decode.acc_seg: 92.5078, loss: 0.1827 +2023-03-04 11:29:44,226 - mmseg - INFO - Iter [157250/160000] lr: 1.172e-06, eta: 0:10:50, time: 0.196, data_time: 0.006, memory: 52540, decode.loss_ce: 0.1800, decode.acc_seg: 92.6502, loss: 0.1800 +2023-03-04 11:29:53,819 - mmseg - INFO - Iter [157300/160000] lr: 1.172e-06, eta: 0:10:38, time: 0.192, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1831, decode.acc_seg: 92.4889, loss: 0.1831 +2023-03-04 11:30:03,288 - mmseg - INFO - Iter [157350/160000] lr: 1.172e-06, eta: 0:10:26, time: 0.189, data_time: 0.006, memory: 52540, decode.loss_ce: 0.1872, decode.acc_seg: 92.2659, loss: 0.1872 +2023-03-04 11:30:12,949 - mmseg - INFO - Iter [157400/160000] lr: 1.172e-06, eta: 0:10:15, time: 0.193, data_time: 0.006, memory: 52540, decode.loss_ce: 0.1851, decode.acc_seg: 92.4542, loss: 0.1851 +2023-03-04 11:30:22,973 - mmseg - INFO - Iter [157450/160000] lr: 1.172e-06, eta: 0:10:03, time: 0.200, data_time: 0.006, memory: 52540, decode.loss_ce: 0.1818, decode.acc_seg: 92.5486, loss: 0.1818 +2023-03-04 11:30:32,733 - mmseg - INFO - Iter [157500/160000] lr: 1.172e-06, eta: 0:09:51, time: 0.195, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1862, decode.acc_seg: 92.3056, loss: 0.1862 +2023-03-04 11:30:42,219 - mmseg - INFO - Iter [157550/160000] lr: 1.172e-06, eta: 0:09:39, time: 0.190, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1830, decode.acc_seg: 92.4643, loss: 0.1830 +2023-03-04 11:30:51,711 - mmseg - INFO - Iter [157600/160000] lr: 1.172e-06, eta: 0:09:27, time: 0.190, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1908, decode.acc_seg: 92.2311, loss: 0.1908 +2023-03-04 11:31:01,234 - mmseg - INFO - Iter [157650/160000] lr: 1.172e-06, eta: 0:09:15, time: 0.190, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1836, decode.acc_seg: 92.5257, loss: 0.1836 +2023-03-04 11:31:10,996 - mmseg - INFO - Iter [157700/160000] lr: 1.172e-06, eta: 0:09:03, time: 0.195, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1759, decode.acc_seg: 92.8553, loss: 0.1759 +2023-03-04 11:31:20,662 - mmseg - INFO - Iter [157750/160000] lr: 1.172e-06, eta: 0:08:52, time: 0.193, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1834, decode.acc_seg: 92.3677, loss: 0.1834 +2023-03-04 11:31:32,801 - mmseg - INFO - Iter [157800/160000] lr: 1.172e-06, eta: 0:08:40, time: 0.243, data_time: 0.058, memory: 52540, decode.loss_ce: 0.1817, decode.acc_seg: 92.5973, loss: 0.1817 +2023-03-04 11:31:42,334 - mmseg - INFO - Iter [157850/160000] lr: 1.172e-06, eta: 0:08:28, time: 0.191, data_time: 0.006, memory: 52540, decode.loss_ce: 0.1877, decode.acc_seg: 92.3693, loss: 0.1877 +2023-03-04 11:31:51,945 - mmseg - INFO - Iter [157900/160000] lr: 1.172e-06, eta: 0:08:16, time: 0.192, data_time: 0.006, memory: 52540, decode.loss_ce: 0.1805, decode.acc_seg: 92.5875, loss: 0.1805 +2023-03-04 11:32:01,684 - mmseg - INFO - Iter [157950/160000] lr: 1.172e-06, eta: 0:08:04, time: 0.195, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1836, decode.acc_seg: 92.3858, loss: 0.1836 +2023-03-04 11:32:11,524 - mmseg - INFO - Exp name: ablation_segformer_mit_b2_segformer_head_unet_fc_small_multi_step_ade_pretrained_freeze_embed_160k_ade20k151_finetune_ema_cos.py +2023-03-04 11:32:11,524 - mmseg - INFO - Iter [158000/160000] lr: 1.172e-06, eta: 0:07:52, time: 0.197, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1909, decode.acc_seg: 92.2283, loss: 0.1909 +2023-03-04 11:32:21,056 - mmseg - INFO - Iter [158050/160000] lr: 1.172e-06, eta: 0:07:40, time: 0.191, data_time: 0.006, memory: 52540, decode.loss_ce: 0.1849, decode.acc_seg: 92.3649, loss: 0.1849 +2023-03-04 11:32:30,741 - mmseg - INFO - Iter [158100/160000] lr: 1.172e-06, eta: 0:07:29, time: 0.194, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1802, decode.acc_seg: 92.4960, loss: 0.1802 +2023-03-04 11:32:40,389 - mmseg - INFO - Iter [158150/160000] lr: 1.172e-06, eta: 0:07:17, time: 0.193, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1817, decode.acc_seg: 92.5380, loss: 0.1817 +2023-03-04 11:32:50,715 - mmseg - INFO - Iter [158200/160000] lr: 1.172e-06, eta: 0:07:05, time: 0.207, data_time: 0.006, memory: 52540, decode.loss_ce: 0.1877, decode.acc_seg: 92.2121, loss: 0.1877 +2023-03-04 11:33:00,509 - mmseg - INFO - Iter [158250/160000] lr: 1.172e-06, eta: 0:06:53, time: 0.196, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1807, decode.acc_seg: 92.4897, loss: 0.1807 +2023-03-04 11:33:10,259 - mmseg - INFO - Iter [158300/160000] lr: 1.172e-06, eta: 0:06:41, time: 0.195, data_time: 0.006, memory: 52540, decode.loss_ce: 0.1857, decode.acc_seg: 92.3498, loss: 0.1857 +2023-03-04 11:33:19,796 - mmseg - INFO - Iter [158350/160000] lr: 1.172e-06, eta: 0:06:29, time: 0.191, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1808, decode.acc_seg: 92.5477, loss: 0.1808 +2023-03-04 11:33:31,933 - mmseg - INFO - Iter [158400/160000] lr: 1.172e-06, eta: 0:06:18, time: 0.243, data_time: 0.052, memory: 52540, decode.loss_ce: 0.1832, decode.acc_seg: 92.4091, loss: 0.1832 +2023-03-04 11:33:41,564 - mmseg - INFO - Iter [158450/160000] lr: 1.172e-06, eta: 0:06:06, time: 0.192, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1784, decode.acc_seg: 92.7295, loss: 0.1784 +2023-03-04 11:33:51,192 - mmseg - INFO - Iter [158500/160000] lr: 1.172e-06, eta: 0:05:54, time: 0.193, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1862, decode.acc_seg: 92.3616, loss: 0.1862 +2023-03-04 11:34:00,850 - mmseg - INFO - Iter [158550/160000] lr: 1.172e-06, eta: 0:05:42, time: 0.193, data_time: 0.006, memory: 52540, decode.loss_ce: 0.1788, decode.acc_seg: 92.4581, loss: 0.1788 +2023-03-04 11:34:10,640 - mmseg - INFO - Iter [158600/160000] lr: 1.172e-06, eta: 0:05:30, time: 0.196, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1852, decode.acc_seg: 92.3291, loss: 0.1852 +2023-03-04 11:34:20,475 - mmseg - INFO - Iter [158650/160000] lr: 1.172e-06, eta: 0:05:18, time: 0.197, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1884, decode.acc_seg: 92.3883, loss: 0.1884 +2023-03-04 11:34:30,235 - mmseg - INFO - Iter [158700/160000] lr: 1.172e-06, eta: 0:05:07, time: 0.195, data_time: 0.006, memory: 52540, decode.loss_ce: 0.1827, decode.acc_seg: 92.4457, loss: 0.1827 +2023-03-04 11:34:39,832 - mmseg - INFO - Iter [158750/160000] lr: 1.172e-06, eta: 0:04:55, time: 0.192, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1890, decode.acc_seg: 92.0939, loss: 0.1890 +2023-03-04 11:34:49,641 - mmseg - INFO - Iter [158800/160000] lr: 1.172e-06, eta: 0:04:43, time: 0.196, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1843, decode.acc_seg: 92.2474, loss: 0.1843 +2023-03-04 11:34:59,507 - mmseg - INFO - Iter [158850/160000] lr: 1.172e-06, eta: 0:04:31, time: 0.197, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1838, decode.acc_seg: 92.4567, loss: 0.1838 +2023-03-04 11:35:09,253 - mmseg - INFO - Iter [158900/160000] lr: 1.172e-06, eta: 0:04:19, time: 0.195, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1836, decode.acc_seg: 92.4742, loss: 0.1836 +2023-03-04 11:35:18,983 - mmseg - INFO - Iter [158950/160000] lr: 1.172e-06, eta: 0:04:07, time: 0.195, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1833, decode.acc_seg: 92.4911, loss: 0.1833 +2023-03-04 11:35:28,958 - mmseg - INFO - Exp name: ablation_segformer_mit_b2_segformer_head_unet_fc_small_multi_step_ade_pretrained_freeze_embed_160k_ade20k151_finetune_ema_cos.py +2023-03-04 11:35:28,958 - mmseg - INFO - Iter [159000/160000] lr: 1.172e-06, eta: 0:03:56, time: 0.199, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1783, decode.acc_seg: 92.5762, loss: 0.1783 +2023-03-04 11:35:41,177 - mmseg - INFO - Iter [159050/160000] lr: 1.172e-06, eta: 0:03:44, time: 0.244, data_time: 0.055, memory: 52540, decode.loss_ce: 0.1874, decode.acc_seg: 92.2515, loss: 0.1874 +2023-03-04 11:35:50,869 - mmseg - INFO - Iter [159100/160000] lr: 1.172e-06, eta: 0:03:32, time: 0.194, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1770, decode.acc_seg: 92.6367, loss: 0.1770 +2023-03-04 11:36:00,837 - mmseg - INFO - Iter [159150/160000] lr: 1.172e-06, eta: 0:03:20, time: 0.199, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1824, decode.acc_seg: 92.5706, loss: 0.1824 +2023-03-04 11:36:11,173 - mmseg - INFO - Iter [159200/160000] lr: 1.172e-06, eta: 0:03:08, time: 0.207, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1847, decode.acc_seg: 92.3956, loss: 0.1847 +2023-03-04 11:36:20,935 - mmseg - INFO - Iter [159250/160000] lr: 1.172e-06, eta: 0:02:57, time: 0.195, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1876, decode.acc_seg: 92.3795, loss: 0.1876 +2023-03-04 11:36:30,619 - mmseg - INFO - Iter [159300/160000] lr: 1.172e-06, eta: 0:02:45, time: 0.194, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1818, decode.acc_seg: 92.4619, loss: 0.1818 +2023-03-04 11:36:40,484 - mmseg - INFO - Iter [159350/160000] lr: 1.172e-06, eta: 0:02:33, time: 0.197, data_time: 0.006, memory: 52540, decode.loss_ce: 0.1851, decode.acc_seg: 92.4367, loss: 0.1851 +2023-03-04 11:36:50,051 - mmseg - INFO - Iter [159400/160000] lr: 1.172e-06, eta: 0:02:21, time: 0.191, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1839, decode.acc_seg: 92.3857, loss: 0.1839 +2023-03-04 11:36:59,626 - mmseg - INFO - Iter [159450/160000] lr: 1.172e-06, eta: 0:02:09, time: 0.191, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1910, decode.acc_seg: 92.1107, loss: 0.1910 +2023-03-04 11:37:09,459 - mmseg - INFO - Iter [159500/160000] lr: 1.172e-06, eta: 0:01:58, time: 0.197, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1834, decode.acc_seg: 92.4550, loss: 0.1834 +2023-03-04 11:37:19,045 - mmseg - INFO - Iter [159550/160000] lr: 1.172e-06, eta: 0:01:46, time: 0.192, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1790, decode.acc_seg: 92.7187, loss: 0.1790 +2023-03-04 11:37:28,568 - mmseg - INFO - Iter [159600/160000] lr: 1.172e-06, eta: 0:01:34, time: 0.190, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1931, decode.acc_seg: 92.1555, loss: 0.1931 +2023-03-04 11:37:40,671 - mmseg - INFO - Iter [159650/160000] lr: 1.172e-06, eta: 0:01:22, time: 0.242, data_time: 0.055, memory: 52540, decode.loss_ce: 0.1907, decode.acc_seg: 92.1860, loss: 0.1907 +2023-03-04 11:37:50,262 - mmseg - INFO - Iter [159700/160000] lr: 1.172e-06, eta: 0:01:10, time: 0.192, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1812, decode.acc_seg: 92.4683, loss: 0.1812 +2023-03-04 11:38:00,492 - mmseg - INFO - Iter [159750/160000] lr: 1.172e-06, eta: 0:00:58, time: 0.205, data_time: 0.006, memory: 52540, decode.loss_ce: 0.1904, decode.acc_seg: 92.2082, loss: 0.1904 +2023-03-04 11:38:10,180 - mmseg - INFO - Iter [159800/160000] lr: 1.172e-06, eta: 0:00:47, time: 0.194, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1761, decode.acc_seg: 92.5715, loss: 0.1761 +2023-03-04 11:38:19,852 - mmseg - INFO - Iter [159850/160000] lr: 1.172e-06, eta: 0:00:35, time: 0.193, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1895, decode.acc_seg: 92.3513, loss: 0.1895 +2023-03-04 11:38:29,356 - mmseg - INFO - Iter [159900/160000] lr: 1.172e-06, eta: 0:00:23, time: 0.190, data_time: 0.006, memory: 52540, decode.loss_ce: 0.1773, decode.acc_seg: 92.5845, loss: 0.1773 +2023-03-04 11:38:38,922 - mmseg - INFO - Iter [159950/160000] lr: 1.172e-06, eta: 0:00:11, time: 0.191, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1803, decode.acc_seg: 92.5099, loss: 0.1803 +2023-03-04 11:38:48,632 - mmseg - INFO - Swap parameters (after train) after iter [160000] +2023-03-04 11:38:48,646 - mmseg - INFO - Saving checkpoint at 160000 iterations +2023-03-04 11:38:49,664 - mmseg - INFO - Exp name: ablation_segformer_mit_b2_segformer_head_unet_fc_small_multi_step_ade_pretrained_freeze_embed_160k_ade20k151_finetune_ema_cos.py +2023-03-04 11:38:49,665 - mmseg - INFO - Iter [160000/160000] lr: 1.172e-06, eta: 0:00:00, time: 0.215, data_time: 0.006, memory: 52540, decode.loss_ce: 0.1782, decode.acc_seg: 92.6195, loss: 0.1782 +2023-03-04 11:49:47,619 - mmseg - INFO - per class results: +2023-03-04 11:49:47,628 - mmseg - INFO - ++---------------------+-------------------------------------------------------------------+ +| Class | IoU 0,10,20,30,40,50,60,70,80,90,99 | ++---------------------+-------------------------------------------------------------------+ +| background | nan,nan,nan,nan,nan,nan,nan,nan,nan,nan,nan | +| wall | 77.4,77.41,77.41,77.41,77.41,77.41,77.45,77.47,77.5,77.5,77.54 | +| building | 81.63,81.63,81.63,81.63,81.63,81.64,81.63,81.65,81.64,81.63,81.63 | +| sky | 94.39,94.39,94.39,94.39,94.39,94.39,94.4,94.39,94.4,94.4,94.4 | +| floor | 81.71,81.7,81.69,81.7,81.7,81.7,81.71,81.71,81.7,81.72,81.71 | +| tree | 74.38,74.37,74.38,74.39,74.37,74.4,74.41,74.43,74.44,74.45,74.45 | +| ceiling | 85.19,85.18,85.19,85.18,85.17,85.2,85.22,85.23,85.24,85.25,85.27 | +| road | 82.25,82.24,82.25,82.24,82.24,82.23,82.2,82.19,82.14,82.16,82.12 | +| bed | 88.18,88.18,88.17,88.17,88.17,88.2,88.21,88.21,88.24,88.21,88.22 | +| windowpane | 60.6,60.62,60.63,60.64,60.62,60.67,60.65,60.75,60.77,60.79,60.8 | +| grass | 67.15,67.16,67.18,67.15,67.18,67.19,67.21,67.24,67.27,67.32,67.35 | +| cabinet | 61.84,61.81,61.84,61.83,61.87,62.03,62.15,62.31,62.55,62.67,62.71 | +| sidewalk | 64.66,64.68,64.68,64.65,64.66,64.67,64.67,64.69,64.64,64.72,64.67 | +| person | 79.65,79.64,79.66,79.65,79.65,79.67,79.66,79.68,79.69,79.69,79.69 | +| earth | 35.77,35.76,35.77,35.73,35.75,35.77,35.81,35.83,35.81,35.74,35.67 | +| door | 46.01,46.04,46.06,46.05,46.05,46.0,46.08,46.07,46.14,46.11,46.29 | +| table | 61.22,61.23,61.22,61.21,61.24,61.27,61.32,61.33,61.45,61.53,61.58 | +| mountain | 56.92,56.94,56.96,56.94,56.95,56.97,57.08,57.16,57.26,57.37,57.53 | +| plant | 49.56,49.53,49.54,49.52,49.52,49.53,49.51,49.54,49.51,49.46,49.41 | +| curtain | 74.52,74.55,74.52,74.53,74.54,74.55,74.59,74.55,74.49,74.46,74.5 | +| chair | 56.83,56.85,56.86,56.85,56.85,56.87,56.9,56.94,56.98,57.03,57.04 | +| car | 81.9,81.91,81.91,81.91,81.93,81.92,81.94,81.97,81.99,82.06,82.11 | +| water | 57.09,57.11,57.11,57.09,57.11,57.15,57.16,57.22,57.26,57.27,57.31 | +| painting | 70.44,70.45,70.43,70.4,70.42,70.43,70.39,70.33,70.3,70.15,70.12 | +| sofa | 64.56,64.54,64.56,64.56,64.59,64.62,64.61,64.72,64.83,64.89,64.97 | +| shelf | 44.31,44.3,44.37,44.35,44.37,44.42,44.4,44.55,44.66,44.7,44.8 | +| house | 43.07,43.04,43.09,43.09,43.14,43.12,43.15,43.08,43.06,43.02,43.1 | +| sea | 60.16,60.15,60.16,60.14,60.17,60.2,60.2,60.24,60.25,60.27,60.28 | +| mirror | 66.96,66.96,66.98,67.04,67.05,67.0,67.13,67.28,67.26,67.14,67.25 | +| rug | 64.25,64.25,64.2,64.24,64.28,64.29,64.32,64.44,64.46,64.69,64.77 | +| field | 30.67,30.68,30.7,30.68,30.7,30.73,30.67,30.64,30.55,30.53,30.56 | +| armchair | 38.51,38.41,38.41,38.45,38.49,38.49,38.49,38.43,38.46,38.41,38.37 | +| seat | 66.75,66.71,66.72,66.71,66.74,66.82,66.79,66.82,66.89,66.95,66.95 | +| fence | 40.35,40.44,40.4,40.44,40.45,40.49,40.48,40.56,40.66,40.7,40.87 | +| desk | 46.76,46.75,46.79,46.7,46.73,46.92,46.96,47.08,47.39,47.58,47.62 | +| rock | 36.92,36.9,36.9,36.91,36.9,36.92,36.94,36.98,37.02,37.01,37.07 | +| wardrobe | 57.96,57.84,57.98,57.9,57.96,58.06,58.15,58.19,58.21,58.15,58.21 | +| lamp | 62.01,62.03,62.02,62.02,62.01,62.05,62.04,62.04,62.05,62.0,61.98 | +| bathtub | 76.39,76.33,76.32,76.36,76.33,76.34,76.41,76.34,76.32,76.27,76.14 | +| railing | 33.86,33.84,33.84,33.78,33.83,33.79,33.69,33.66,33.59,33.54,33.45 | +| cushion | 56.89,56.92,56.79,56.81,56.9,56.83,56.78,56.84,56.77,56.67,56.7 | +| base | 22.26,22.25,22.27,22.27,22.24,22.26,22.29,22.3,22.33,22.4,22.29 | +| box | 23.1,23.06,23.08,23.1,23.07,23.14,23.14,23.26,23.35,23.42,23.55 | +| column | 46.31,46.37,46.35,46.38,46.37,46.38,46.42,46.45,46.54,46.48,46.63 | +| signboard | 37.88,37.82,37.88,37.84,37.82,37.84,37.87,37.91,37.86,37.85,37.79 | +| chest of drawers | 36.29,36.24,36.15,36.28,36.22,36.24,36.24,36.23,36.25,36.31,36.18 | +| counter | 31.14,31.17,31.23,31.15,31.16,31.24,31.29,31.23,31.32,31.36,31.51 | +| sand | 42.39,42.42,42.35,42.4,42.35,42.43,42.47,42.5,42.59,42.64,42.64 | +| sink | 67.74,67.76,67.8,67.75,67.77,67.71,67.75,67.65,67.62,67.56,67.54 | +| skyscraper | 50.81,50.67,50.7,50.84,50.71,50.57,50.42,50.24,49.88,49.63,49.38 | +| fireplace | 76.09,76.03,76.06,76.07,76.07,76.17,76.16,76.34,76.37,76.58,76.54 | +| refrigerator | 75.35,75.41,75.39,75.39,75.37,75.47,75.56,75.75,76.04,76.12,76.23 | +| grandstand | 53.28,53.17,53.23,53.14,53.19,53.32,53.4,53.62,53.95,54.3,54.64 | +| path | 22.63,22.71,22.71,22.69,22.67,22.7,22.68,22.69,22.67,22.69,22.67 | +| stairs | 31.46,31.44,31.47,31.41,31.42,31.46,31.37,31.43,31.3,31.28,31.27 | +| runway | 68.0,68.02,68.03,68.01,68.08,68.09,68.12,68.22,68.25,68.29,68.33 | +| case | 49.85,49.89,49.81,49.83,49.88,49.85,49.93,49.89,49.95,49.89,49.91 | +| pool table | 91.91,91.89,91.88,91.89,91.88,91.93,91.93,91.94,91.95,91.95,92.01 | +| pillow | 60.38,60.3,60.06,60.22,60.31,60.2,60.26,60.18,59.94,59.8,59.92 | +| screen door | 71.82,71.98,71.83,72.02,72.18,72.24,72.56,72.85,73.08,73.14,73.07 | +| stairway | 23.51,23.56,23.59,23.56,23.53,23.59,23.54,23.62,23.66,23.67,23.67 | +| river | 11.79,11.79,11.81,11.8,11.79,11.78,11.78,11.79,11.78,11.78,11.77 | +| bridge | 32.08,32.13,32.1,32.14,32.21,32.02,32.04,32.06,31.96,32.08,32.21 | +| bookcase | 46.04,46.13,46.13,46.1,46.1,46.08,46.06,46.03,45.97,45.94,45.88 | +| blind | 40.0,40.13,40.01,40.09,40.18,40.11,40.24,40.6,40.73,40.92,41.14 | +| coffee table | 53.41,53.39,53.35,53.27,53.43,53.42,53.45,53.51,53.63,53.88,54.04 | +| toilet | 83.79,83.78,83.84,83.76,83.78,83.75,83.76,83.73,83.73,83.75,83.74 | +| flower | 38.6,38.59,38.56,38.55,38.67,38.57,38.63,38.54,38.59,38.61,38.61 | +| book | 45.58,45.63,45.57,45.58,45.56,45.55,45.55,45.49,45.45,45.34,45.28 | +| hill | 15.19,15.16,15.28,15.18,15.22,15.25,15.25,15.38,15.44,15.45,15.44 | +| bench | 43.45,43.37,43.49,43.4,43.34,43.41,43.39,43.46,43.49,43.59,43.67 | +| countertop | 55.66,55.73,55.88,55.7,55.81,55.9,55.9,56.16,56.41,56.49,56.44 | +| stove | 71.83,71.88,71.87,71.86,71.88,71.87,71.88,71.85,71.76,71.62,71.49 | +| palm | 48.05,48.0,48.06,48.0,47.98,48.05,48.03,48.06,48.04,48.16,48.19 | +| kitchen island | 46.37,46.59,46.65,46.81,46.75,46.76,46.59,46.24,46.2,45.85,45.49 | +| computer | 60.62,60.65,60.67,60.66,60.61,60.64,60.63,60.64,60.56,60.51,60.48 | +| swivel chair | 44.12,44.14,44.04,44.25,44.1,44.34,44.36,44.39,44.62,44.87,45.13 | +| boat | 73.31,73.36,73.44,73.48,73.28,73.36,73.37,73.58,73.71,73.79,74.0 | +| bar | 24.1,24.07,24.1,24.1,24.08,24.08,24.13,24.12,24.16,24.19,24.26 | +| arcade machine | 67.88,67.8,67.98,68.09,67.97,68.11,68.05,67.96,68.07,67.38,66.5 | +| hovel | 32.63,32.6,32.59,32.69,32.69,32.78,32.81,32.88,32.98,33.02,32.87 | +| bus | 79.35,79.37,79.31,79.4,79.3,79.38,79.46,79.46,79.54,79.55,79.52 | +| towel | 61.83,61.85,61.81,62.03,61.88,61.93,61.88,61.84,61.93,61.95,61.92 | +| light | 55.57,55.56,55.57,55.58,55.59,55.68,55.7,55.75,55.81,55.81,55.86 | +| truck | 19.35,19.34,19.41,19.35,19.42,19.35,19.21,19.4,19.34,19.31,19.37 | +| tower | 8.28,8.24,8.34,8.26,8.29,8.29,8.32,8.3,8.39,8.43,8.48 | +| chandelier | 63.7,63.71,63.69,63.71,63.73,63.74,63.77,63.76,63.75,63.82,63.83 | +| awning | 24.39,24.5,24.39,24.39,24.5,24.48,24.75,24.82,24.92,25.27,25.49 | +| streetlight | 27.32,27.44,27.43,27.36,27.3,27.43,27.51,27.48,27.42,27.42,27.42 | +| booth | 46.6,46.86,46.81,46.96,46.87,46.7,47.16,47.27,47.76,48.52,49.15 | +| television receiver | 64.63,64.47,64.55,64.51,64.57,64.63,64.61,64.8,64.87,65.02,65.1 | +| airplane | 59.93,59.88,59.93,60.0,59.79,59.8,59.86,59.7,59.56,59.31,59.16 | +| dirt track | 20.85,20.91,20.9,20.98,20.88,21.09,21.11,21.35,21.51,21.58,21.56 | +| apparel | 35.16,35.14,35.2,35.13,35.35,35.31,35.52,35.51,35.8,35.83,36.04 | +| pole | 18.82,18.72,18.75,18.75,18.83,18.79,18.67,18.65,18.59,18.45,18.27 | +| land | 4.0,3.95,3.96,3.96,3.96,3.98,3.97,3.99,3.96,3.95,3.91 | +| bannister | 12.79,12.7,12.68,12.63,12.68,12.79,12.78,12.8,12.73,12.77,12.9 | +| escalator | 24.06,24.08,24.02,24.02,24.0,24.07,24.12,24.16,24.28,24.4,24.53 | +| ottoman | 43.64,43.59,43.76,43.53,43.68,43.63,43.65,43.58,43.74,43.84,43.7 | +| bottle | 34.88,34.89,34.9,34.76,34.92,34.96,35.04,34.99,35.04,35.14,35.11 | +| buffet | 44.31,44.45,44.52,44.53,44.52,44.74,44.89,45.46,45.97,46.18,46.19 | +| poster | 22.58,22.66,22.65,22.61,22.61,22.61,22.58,22.67,22.83,22.92,23.05 | +| stage | 14.11,14.13,14.09,14.12,14.14,14.07,13.97,14.02,13.95,13.91,13.7 | +| van | 38.52,38.5,38.43,38.52,38.51,38.46,38.44,38.43,38.32,38.24,38.25 | +| ship | 83.12,83.18,83.27,83.24,83.19,83.29,83.44,83.57,83.75,83.99,84.19 | +| fountain | 21.15,21.14,21.12,21.23,21.12,21.13,21.19,21.34,21.33,21.42,21.56 | +| conveyer belt | 85.6,85.68,85.68,85.61,85.68,85.7,85.78,85.78,86.06,86.09,86.25 | +| canopy | 22.98,22.95,22.92,23.11,23.1,22.97,23.28,23.36,23.54,23.81,24.15 | +| washer | 72.75,72.85,72.85,72.76,72.96,72.88,73.02,73.05,73.23,73.55,73.74 | +| plaything | 19.71,19.73,19.8,19.77,19.74,19.83,19.76,19.67,19.58,19.46,19.42 | +| swimming pool | 73.98,73.84,73.8,73.77,73.79,74.0,74.03,73.86,74.22,74.15,74.17 | +| stool | 43.94,44.07,43.97,44.01,44.04,43.85,43.77,43.9,43.8,43.64,43.6 | +| barrel | 52.07,50.66,49.88,50.81,50.96,51.47,51.8,51.63,52.63,55.17,55.09 | +| basket | 24.27,24.21,24.16,24.18,24.22,24.19,24.16,24.2,24.19,24.12,24.12 | +| waterfall | 48.9,49.04,48.95,49.01,48.98,48.93,48.93,48.88,48.91,48.97,49.01 | +| tent | 94.88,94.86,94.86,94.85,94.85,94.9,94.87,94.85,94.85,94.88,94.87 | +| bag | 16.16,16.08,16.11,16.07,16.02,16.14,16.2,16.13,16.16,16.42,16.41 | +| minibike | 63.21,63.19,63.15,63.18,63.32,63.16,63.2,63.31,63.24,63.24,63.12 | +| cradle | 84.48,84.49,84.41,84.43,84.55,84.58,84.68,84.75,84.87,85.1,85.39 | +| oven | 48.96,48.99,49.15,49.06,48.93,48.9,49.0,49.22,49.19,49.36,49.5 | +| ball | 47.29,47.42,47.17,47.3,47.38,47.31,47.31,47.27,47.16,46.96,46.7 | +| food | 54.03,54.07,53.97,54.09,54.0,54.14,54.03,54.13,54.16,54.12,54.25 | +| step | 6.69,6.54,6.62,6.62,6.59,6.61,6.6,6.65,6.62,6.57,6.57 | +| tank | 51.74,51.86,51.75,51.85,51.75,51.63,51.59,51.56,51.34,51.16,50.85 | +| trade name | 26.38,26.37,26.37,26.4,26.4,26.33,26.42,26.4,26.2,26.39,26.38 | +| microwave | 72.3,72.25,72.3,72.31,72.36,72.41,72.45,72.7,72.86,73.04,73.16 | +| pot | 30.07,30.08,30.05,30.0,30.05,30.05,30.15,30.14,30.25,30.31,30.45 | +| animal | 54.17,54.15,54.12,54.16,54.19,54.17,54.1,54.09,54.22,53.97,53.74 | +| bicycle | 54.99,54.96,54.93,54.98,55.08,54.94,55.09,55.24,55.34,55.38,55.46 | +| lake | 57.73,57.76,57.76,57.79,57.76,57.86,57.9,57.93,58.06,58.16,58.26 | +| dishwasher | 65.77,65.93,65.87,65.95,65.79,65.98,66.03,65.94,65.99,66.12,66.12 | +| screen | 66.37,66.17,66.52,66.34,66.16,66.11,65.68,65.45,65.25,64.78,64.86 | +| blanket | 18.03,17.95,18.0,17.96,18.1,18.13,18.08,18.13,18.17,18.09,18.07 | +| sculpture | 57.35,57.37,57.4,57.34,57.72,57.42,57.28,57.35,57.37,57.57,57.54 | +| hood | 57.05,57.05,57.24,56.96,57.02,56.83,57.09,56.76,56.52,55.7,55.44 | +| sconce | 43.32,43.27,43.45,43.37,43.48,43.36,43.55,43.51,43.69,43.94,44.08 | +| vase | 37.88,37.89,37.89,37.87,37.87,37.92,37.92,38.07,38.1,38.21,38.25 | +| traffic light | 32.9,32.89,32.94,32.92,33.0,32.9,33.02,33.27,33.23,33.33,33.46 | +| tray | 8.33,8.41,8.28,8.44,8.33,8.37,8.4,8.57,8.45,8.52,8.62 | +| ashcan | 40.46,40.28,40.48,40.36,40.41,40.4,40.48,40.33,40.58,40.8,40.69 | +| fan | 57.9,57.96,57.84,57.94,57.96,57.93,57.96,57.94,57.92,57.76,57.78 | +| pier | 51.66,51.57,51.87,52.33,51.52,53.34,53.31,55.55,56.1,56.69,57.25 | +| crt screen | 10.49,10.45,10.51,10.5,10.5,10.55,10.51,10.56,10.57,10.56,10.56 | +| plate | 52.36,52.34,52.21,52.35,52.3,52.45,52.59,52.64,52.99,53.13,53.23 | +| monitor | 17.51,17.56,17.5,17.55,17.43,17.49,17.35,17.43,17.34,17.11,16.85 | +| bulletin board | 39.4,39.36,39.11,39.25,39.22,39.33,39.87,39.19,38.91,39.12,39.34 | +| shower | 2.01,2.04,2.01,2.05,2.01,1.96,2.02,1.97,2.0,1.94,1.81 | +| radiator | 57.86,58.18,57.75,57.95,58.07,58.07,58.32,58.33,59.03,59.5,60.13 | +| glass | 13.32,13.34,13.28,13.26,13.38,13.29,13.36,13.36,13.39,13.54,13.5 | +| clock | 34.8,34.67,34.96,34.61,34.7,35.09,35.06,35.1,35.03,35.03,35.03 | +| flag | 33.45,33.42,33.49,33.41,33.31,33.41,33.31,33.39,33.33,33.36,33.34 | ++---------------------+-------------------------------------------------------------------+ +2023-03-04 11:49:47,628 - mmseg - INFO - Summary: +2023-03-04 11:49:47,628 - mmseg - INFO - ++-------------------------------------------------------------------+ +| mIoU 0,10,20,30,40,50,60,70,80,90,99 | ++-------------------------------------------------------------------+ +| 48.87,48.87,48.87,48.88,48.88,48.91,48.94,48.99,49.04,49.08,49.11 | ++-------------------------------------------------------------------+ +2023-03-04 11:49:47,629 - mmseg - INFO - Exp name: ablation_segformer_mit_b2_segformer_head_unet_fc_small_multi_step_ade_pretrained_freeze_embed_160k_ade20k151_finetune_ema_cos.py +2023-03-04 11:49:47,629 - mmseg - INFO - Iter(val) [250] mIoU: [0.4887, 0.4887, 0.4887, 0.4888, 0.4888, 0.4891, 0.4894, 0.4899, 0.4904, 0.4908, 0.4911], copy_paste: 48.87,48.87,48.87,48.88,48.88,48.91,48.94,48.99,49.04,49.08,49.11 diff --git a/ablation/ablation_segformer_mit_b2_segformer_head_unet_fc_small_multi_step_ade_pretrained_freeze_embed_160k_ade20k151_finetune_ema_cos/20230304_010905.log.json b/ablation/ablation_segformer_mit_b2_segformer_head_unet_fc_small_multi_step_ade_pretrained_freeze_embed_160k_ade20k151_finetune_ema_cos/20230304_010905.log.json new file mode 100644 index 0000000000000000000000000000000000000000..3f4dbdd51207c2734a7b0692a1115a7de563fb3f --- /dev/null +++ b/ablation/ablation_segformer_mit_b2_segformer_head_unet_fc_small_multi_step_ade_pretrained_freeze_embed_160k_ade20k151_finetune_ema_cos/20230304_010905.log.json @@ -0,0 +1,3211 @@ +{"env_info": "sys.platform: linux\nPython: 3.7.16 (default, Jan 17 2023, 22:20:44) [GCC 11.2.0]\nCUDA available: True\nGPU 0,1,2,3,4,5,6,7: NVIDIA A100-SXM4-80GB\nCUDA_HOME: /mnt/petrelfs/laizeqiang/miniconda3/envs/torch\nNVCC: Cuda compilation tools, release 11.6, V11.6.124\nGCC: gcc (GCC) 4.8.5 20150623 (Red Hat 4.8.5-44)\nPyTorch: 1.13.1\nPyTorch compiling details: PyTorch built with:\n - GCC 9.3\n - C++ Version: 201402\n - Intel(R) oneAPI Math Kernel Library Version 2021.4-Product Build 20210904 for Intel(R) 64 architecture applications\n - Intel(R) MKL-DNN v2.6.0 (Git Hash 52b5f107dd9cf10910aaa19cb47f3abf9b349815)\n - OpenMP 201511 (a.k.a. OpenMP 4.5)\n - LAPACK is enabled (usually provided by MKL)\n - NNPACK is enabled\n - CPU capability usage: AVX2\n - CUDA Runtime 11.6\n - NVCC architecture flags: -gencode;arch=compute_37,code=sm_37;-gencode;arch=compute_50,code=sm_50;-gencode;arch=compute_60,code=sm_60;-gencode;arch=compute_61,code=sm_61;-gencode;arch=compute_70,code=sm_70;-gencode;arch=compute_75,code=sm_75;-gencode;arch=compute_80,code=sm_80;-gencode;arch=compute_86,code=sm_86;-gencode;arch=compute_37,code=compute_37\n - CuDNN 8.3.2 (built against CUDA 11.5)\n - Magma 2.6.1\n - Build settings: BLAS_INFO=mkl, BUILD_TYPE=Release, CUDA_VERSION=11.6, CUDNN_VERSION=8.3.2, CXX_COMPILER=/opt/rh/devtoolset-9/root/usr/bin/c++, CXX_FLAGS= -fabi-version=11 -Wno-deprecated -fvisibility-inlines-hidden -DUSE_PTHREADPOOL -fopenmp -DNDEBUG -DUSE_KINETO -DUSE_FBGEMM -DUSE_QNNPACK -DUSE_PYTORCH_QNNPACK -DUSE_XNNPACK -DSYMBOLICATE_MOBILE_DEBUG_HANDLE -DEDGE_PROFILER_USE_KINETO -O2 -fPIC -Wno-narrowing -Wall -Wextra -Werror=return-type -Werror=non-virtual-dtor -Wno-missing-field-initializers -Wno-type-limits -Wno-array-bounds -Wno-unknown-pragmas -Wunused-local-typedefs -Wno-unused-parameter -Wno-unused-function -Wno-unused-result -Wno-strict-overflow -Wno-strict-aliasing -Wno-error=deprecated-declarations -Wno-stringop-overflow -Wno-psabi -Wno-error=pedantic -Wno-error=redundant-decls -Wno-error=old-style-cast -fdiagnostics-color=always -faligned-new -Wno-unused-but-set-variable -Wno-maybe-uninitialized -fno-math-errno -fno-trapping-math -Werror=format -Werror=cast-function-type -Wno-stringop-overflow, LAPACK_INFO=mkl, PERF_WITH_AVX=1, PERF_WITH_AVX2=1, PERF_WITH_AVX512=1, TORCH_VERSION=1.13.1, USE_CUDA=ON, USE_CUDNN=ON, USE_EXCEPTION_PTR=1, USE_GFLAGS=OFF, USE_GLOG=OFF, USE_MKL=ON, USE_MKLDNN=ON, USE_MPI=OFF, USE_NCCL=ON, USE_NNPACK=ON, USE_OPENMP=ON, USE_ROCM=OFF, \n\nTorchVision: 0.14.1\nOpenCV: 4.7.0\nMMCV: 1.7.1\nMMCV Compiler: GCC 9.3\nMMCV CUDA Compiler: 11.6\nMMSegmentation: 0.30.0+ab851eb", "seed": 1758355026, "exp_name": "ablation_segformer_mit_b2_segformer_head_unet_fc_small_multi_step_ade_pretrained_freeze_embed_160k_ade20k151_finetune_ema_cos.py", "mmseg_version": "0.30.0+ab851eb", "config": "norm_cfg = dict(type='SyncBN', requires_grad=True)\ncheckpoint = 'work_dirs2/segformer_mit_b2_segformer_head_unet_fc_single_step_ade_pretrained_freeze_embed_80k_ade20k151/best_mIoU_iter_64000.pth'\nmodel = dict(\n type='EncoderDecoderDiffusion',\n freeze_parameters=['backbone', 'decode_head'],\n pretrained=\n 'work_dirs2/segformer_mit_b2_segformer_head_unet_fc_single_step_ade_pretrained_freeze_embed_80k_ade20k151/best_mIoU_iter_64000.pth',\n backbone=dict(\n type='MixVisionTransformerCustomInitWeights',\n in_channels=3,\n embed_dims=64,\n num_stages=4,\n num_layers=[3, 4, 6, 3],\n num_heads=[1, 2, 5, 8],\n patch_sizes=[7, 3, 3, 3],\n sr_ratios=[8, 4, 2, 1],\n out_indices=(0, 1, 2, 3),\n mlp_ratio=4,\n qkv_bias=True,\n drop_rate=0.0,\n attn_drop_rate=0.0,\n drop_path_rate=0.1,\n pretrained=\n 'work_dirs2/segformer_mit_b2_segformer_head_unet_fc_single_step_ade_pretrained_freeze_embed_80k_ade20k151/best_mIoU_iter_64000.pth'\n ),\n decode_head=dict(\n type='SegformerHeadUnetFCHeadMultiStep',\n pretrained=\n 'work_dirs2/segformer_mit_b2_segformer_head_unet_fc_single_step_ade_pretrained_freeze_embed_80k_ade20k151/best_mIoU_iter_64000.pth',\n dim=128,\n out_dim=256,\n unet_channels=272,\n dim_mults=[1, 1, 1],\n cat_embedding_dim=16,\n diffusion_timesteps=100,\n collect_timesteps=[0, 10, 20, 30, 40, 50, 60, 70, 80, 90, 99],\n alpha_schedule='cos',\n in_channels=[64, 128, 320, 512],\n in_index=[0, 1, 2, 3],\n channels=256,\n dropout_ratio=0.1,\n num_classes=151,\n norm_cfg=dict(type='SyncBN', requires_grad=True),\n align_corners=False,\n ignore_index=0,\n loss_decode=dict(\n type='CrossEntropyLoss', use_sigmoid=False, loss_weight=1.0)),\n train_cfg=dict(),\n test_cfg=dict(mode='whole'))\ndataset_type = 'ADE20K151Dataset'\ndata_root = 'data/ade/ADEChallengeData2016'\nimg_norm_cfg = dict(\n mean=[123.675, 116.28, 103.53], std=[58.395, 57.12, 57.375], to_rgb=True)\ncrop_size = (512, 512)\ntrain_pipeline = [\n dict(type='LoadImageFromFile'),\n dict(type='LoadAnnotations', reduce_zero_label=False),\n dict(type='Resize', img_scale=(2048, 512), ratio_range=(0.5, 2.0)),\n dict(type='RandomCrop', crop_size=(512, 512), cat_max_ratio=0.75),\n dict(type='RandomFlip', prob=0.5),\n dict(type='PhotoMetricDistortion'),\n dict(\n type='Normalize',\n mean=[123.675, 116.28, 103.53],\n std=[58.395, 57.12, 57.375],\n to_rgb=True),\n dict(type='Pad', size=(512, 512), pad_val=0, seg_pad_val=0),\n dict(type='DefaultFormatBundle'),\n dict(type='Collect', keys=['img', 'gt_semantic_seg'])\n]\ntest_pipeline = [\n dict(type='LoadImageFromFile'),\n dict(\n type='MultiScaleFlipAug',\n img_scale=(2048, 512),\n flip=False,\n transforms=[\n dict(type='Resize', keep_ratio=True),\n dict(type='RandomFlip'),\n dict(\n type='Normalize',\n mean=[123.675, 116.28, 103.53],\n std=[58.395, 57.12, 57.375],\n to_rgb=True),\n dict(type='Pad', size_divisor=16, pad_val=0, seg_pad_val=0),\n dict(type='ImageToTensor', keys=['img']),\n dict(type='Collect', keys=['img'])\n ])\n]\ndata = dict(\n samples_per_gpu=4,\n workers_per_gpu=4,\n train=dict(\n type='ADE20K151Dataset',\n data_root='data/ade/ADEChallengeData2016',\n img_dir='images/training',\n ann_dir='annotations/training',\n pipeline=[\n dict(type='LoadImageFromFile'),\n dict(type='LoadAnnotations', reduce_zero_label=False),\n dict(type='Resize', img_scale=(2048, 512), ratio_range=(0.5, 2.0)),\n dict(type='RandomCrop', crop_size=(512, 512), cat_max_ratio=0.75),\n dict(type='RandomFlip', prob=0.5),\n dict(type='PhotoMetricDistortion'),\n dict(\n type='Normalize',\n mean=[123.675, 116.28, 103.53],\n std=[58.395, 57.12, 57.375],\n to_rgb=True),\n dict(type='Pad', size=(512, 512), pad_val=0, seg_pad_val=0),\n dict(type='DefaultFormatBundle'),\n dict(type='Collect', keys=['img', 'gt_semantic_seg'])\n ]),\n val=dict(\n type='ADE20K151Dataset',\n data_root='data/ade/ADEChallengeData2016',\n img_dir='images/validation',\n ann_dir='annotations/validation',\n pipeline=[\n dict(type='LoadImageFromFile'),\n dict(\n type='MultiScaleFlipAug',\n img_scale=(2048, 512),\n flip=False,\n transforms=[\n dict(type='Resize', keep_ratio=True),\n dict(type='RandomFlip'),\n dict(\n type='Normalize',\n mean=[123.675, 116.28, 103.53],\n std=[58.395, 57.12, 57.375],\n to_rgb=True),\n dict(\n type='Pad', size_divisor=16, pad_val=0, seg_pad_val=0),\n dict(type='ImageToTensor', keys=['img']),\n dict(type='Collect', keys=['img'])\n ])\n ]),\n test=dict(\n type='ADE20K151Dataset',\n data_root='data/ade/ADEChallengeData2016',\n img_dir='images/validation',\n ann_dir='annotations/validation',\n pipeline=[\n dict(type='LoadImageFromFile'),\n dict(\n type='MultiScaleFlipAug',\n img_scale=(2048, 512),\n flip=False,\n transforms=[\n dict(type='Resize', keep_ratio=True),\n dict(type='RandomFlip'),\n dict(\n type='Normalize',\n mean=[123.675, 116.28, 103.53],\n std=[58.395, 57.12, 57.375],\n to_rgb=True),\n dict(\n type='Pad', size_divisor=16, pad_val=0, seg_pad_val=0),\n dict(type='ImageToTensor', keys=['img']),\n dict(type='Collect', keys=['img'])\n ])\n ]))\nlog_config = dict(\n interval=50, hooks=[dict(type='TextLoggerHook', by_epoch=False)])\ndist_params = dict(backend='nccl')\nlog_level = 'INFO'\nload_from = None\nresume_from = None\nworkflow = [('train', 1)]\ncudnn_benchmark = True\noptimizer = dict(\n type='AdamW', lr=0.00015, betas=[0.9, 0.96], weight_decay=0.045)\noptimizer_config = dict()\nlr_config = dict(\n policy='step',\n warmup='linear',\n warmup_iters=1000,\n warmup_ratio=1e-06,\n step=20000,\n gamma=0.5,\n min_lr=1e-06,\n by_epoch=False)\nrunner = dict(type='IterBasedRunner', max_iters=160000)\ncheckpoint_config = dict(by_epoch=False, interval=16000, max_keep_ckpts=1)\nevaluation = dict(\n interval=16000, metric='mIoU', pre_eval=True, save_best='mIoU')\ncustom_hooks = [\n dict(\n type='ConstantMomentumEMAHook',\n momentum=0.01,\n interval=25,\n eval_interval=16000,\n auto_resume=True,\n priority=49)\n]\nwork_dir = './work_dirs2/ablation_segformer_mit_b2_segformer_head_unet_fc_small_multi_step_ade_pretrained_freeze_embed_160k_ade20k151_finetune_ema_cos'\ngpu_ids = range(0, 8)\nauto_resume = True\ndevice = 'cuda'\nseed = 1758355026\n", "CLASSES": ["background", "wall", "building", "sky", "floor", "tree", "ceiling", "road", "bed ", "windowpane", "grass", "cabinet", "sidewalk", "person", "earth", "door", "table", "mountain", "plant", "curtain", "chair", "car", "water", "painting", "sofa", "shelf", "house", "sea", "mirror", "rug", "field", "armchair", "seat", "fence", "desk", "rock", "wardrobe", "lamp", "bathtub", "railing", "cushion", "base", "box", "column", "signboard", "chest of drawers", "counter", "sand", "sink", "skyscraper", "fireplace", "refrigerator", "grandstand", "path", "stairs", "runway", "case", "pool 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a/ablation/ablation_segformer_mit_b2_segformer_head_unet_fc_small_multi_step_ade_pretrained_freeze_embed_160k_ade20k151_finetune_ema_cos/ablation_segformer_mit_b2_segformer_head_unet_fc_small_multi_step_ade_pretrained_freeze_embed_160k_ade20k151_finetune_ema_cos.py b/ablation/ablation_segformer_mit_b2_segformer_head_unet_fc_small_multi_step_ade_pretrained_freeze_embed_160k_ade20k151_finetune_ema_cos/ablation_segformer_mit_b2_segformer_head_unet_fc_small_multi_step_ade_pretrained_freeze_embed_160k_ade20k151_finetune_ema_cos.py new file mode 100644 index 0000000000000000000000000000000000000000..aae859e0efff64f197506abf6d85c99b715a51ce --- /dev/null +++ b/ablation/ablation_segformer_mit_b2_segformer_head_unet_fc_small_multi_step_ade_pretrained_freeze_embed_160k_ade20k151_finetune_ema_cos/ablation_segformer_mit_b2_segformer_head_unet_fc_small_multi_step_ade_pretrained_freeze_embed_160k_ade20k151_finetune_ema_cos.py @@ -0,0 +1,196 @@ +norm_cfg = dict(type='SyncBN', requires_grad=True) +checkpoint = 'work_dirs2/segformer_mit_b2_segformer_head_unet_fc_single_step_ade_pretrained_freeze_embed_80k_ade20k151/best_mIoU_iter_64000.pth' +model = dict( + type='EncoderDecoderDiffusion', + freeze_parameters=['backbone', 'decode_head'], + pretrained= + 'work_dirs2/segformer_mit_b2_segformer_head_unet_fc_single_step_ade_pretrained_freeze_embed_80k_ade20k151/best_mIoU_iter_64000.pth', + backbone=dict( + type='MixVisionTransformerCustomInitWeights', + in_channels=3, + embed_dims=64, + num_stages=4, + num_layers=[3, 4, 6, 3], + num_heads=[1, 2, 5, 8], + patch_sizes=[7, 3, 3, 3], + sr_ratios=[8, 4, 2, 1], + out_indices=(0, 1, 2, 3), + mlp_ratio=4, + qkv_bias=True, + drop_rate=0.0, + attn_drop_rate=0.0, + drop_path_rate=0.1), + decode_head=dict( + type='SegformerHeadUnetFCHeadMultiStep', + pretrained= + 'work_dirs2/segformer_mit_b2_segformer_head_unet_fc_single_step_ade_pretrained_freeze_embed_80k_ade20k151/best_mIoU_iter_64000.pth', + dim=128, + out_dim=256, + unet_channels=272, + dim_mults=[1, 1, 1], + cat_embedding_dim=16, + diffusion_timesteps=100, + collect_timesteps=[0, 10, 20, 30, 40, 50, 60, 70, 80, 90, 99], + alpha_schedule='cos', + in_channels=[64, 128, 320, 512], + in_index=[0, 1, 2, 3], + channels=256, + dropout_ratio=0.1, + num_classes=151, + norm_cfg=dict(type='SyncBN', requires_grad=True), + align_corners=False, + ignore_index=0, + loss_decode=dict( + type='CrossEntropyLoss', use_sigmoid=False, loss_weight=1.0)), + train_cfg=dict(), + test_cfg=dict(mode='whole')) +dataset_type = 'ADE20K151Dataset' +data_root = 'data/ade/ADEChallengeData2016' +img_norm_cfg = dict( + mean=[123.675, 116.28, 103.53], std=[58.395, 57.12, 57.375], to_rgb=True) +crop_size = (512, 512) +train_pipeline = [ + dict(type='LoadImageFromFile'), + dict(type='LoadAnnotations', reduce_zero_label=False), + dict(type='Resize', img_scale=(2048, 512), ratio_range=(0.5, 2.0)), + dict(type='RandomCrop', crop_size=(512, 512), cat_max_ratio=0.75), + dict(type='RandomFlip', prob=0.5), + dict(type='PhotoMetricDistortion'), + dict( + type='Normalize', + mean=[123.675, 116.28, 103.53], + std=[58.395, 57.12, 57.375], + to_rgb=True), + dict(type='Pad', size=(512, 512), pad_val=0, seg_pad_val=0), + dict(type='DefaultFormatBundle'), + dict(type='Collect', keys=['img', 'gt_semantic_seg']) +] +test_pipeline = [ + dict(type='LoadImageFromFile'), + dict( + type='MultiScaleFlipAug', + img_scale=(2048, 512), + flip=False, + transforms=[ + dict(type='Resize', keep_ratio=True), + dict(type='RandomFlip'), + dict( + type='Normalize', + mean=[123.675, 116.28, 103.53], + std=[58.395, 57.12, 57.375], + to_rgb=True), + dict(type='Pad', size_divisor=16, pad_val=0, seg_pad_val=0), + dict(type='ImageToTensor', keys=['img']), + dict(type='Collect', keys=['img']) + ]) +] +data = dict( + samples_per_gpu=4, + workers_per_gpu=4, + train=dict( + type='ADE20K151Dataset', + data_root='data/ade/ADEChallengeData2016', + img_dir='images/training', + ann_dir='annotations/training', + pipeline=[ + dict(type='LoadImageFromFile'), + dict(type='LoadAnnotations', reduce_zero_label=False), + dict(type='Resize', img_scale=(2048, 512), ratio_range=(0.5, 2.0)), + dict(type='RandomCrop', crop_size=(512, 512), cat_max_ratio=0.75), + dict(type='RandomFlip', prob=0.5), + dict(type='PhotoMetricDistortion'), + dict( + type='Normalize', + mean=[123.675, 116.28, 103.53], + std=[58.395, 57.12, 57.375], + to_rgb=True), + dict(type='Pad', size=(512, 512), pad_val=0, seg_pad_val=0), + dict(type='DefaultFormatBundle'), + dict(type='Collect', keys=['img', 'gt_semantic_seg']) + ]), + val=dict( + type='ADE20K151Dataset', + data_root='data/ade/ADEChallengeData2016', + img_dir='images/validation', + ann_dir='annotations/validation', + pipeline=[ + dict(type='LoadImageFromFile'), + dict( + type='MultiScaleFlipAug', + img_scale=(2048, 512), + flip=False, + transforms=[ + dict(type='Resize', keep_ratio=True), + dict(type='RandomFlip'), + dict( + type='Normalize', + mean=[123.675, 116.28, 103.53], + std=[58.395, 57.12, 57.375], + to_rgb=True), + dict( + type='Pad', size_divisor=16, pad_val=0, seg_pad_val=0), + dict(type='ImageToTensor', keys=['img']), + dict(type='Collect', keys=['img']) + ]) + ]), + test=dict( + type='ADE20K151Dataset', + data_root='data/ade/ADEChallengeData2016', + img_dir='images/validation', + ann_dir='annotations/validation', + pipeline=[ + dict(type='LoadImageFromFile'), + dict( + type='MultiScaleFlipAug', + img_scale=(2048, 512), + flip=False, + transforms=[ + dict(type='Resize', keep_ratio=True), + dict(type='RandomFlip'), + dict( + type='Normalize', + mean=[123.675, 116.28, 103.53], + std=[58.395, 57.12, 57.375], + to_rgb=True), + dict( + type='Pad', size_divisor=16, pad_val=0, seg_pad_val=0), + dict(type='ImageToTensor', keys=['img']), + dict(type='Collect', keys=['img']) + ]) + ])) +log_config = dict( + interval=50, hooks=[dict(type='TextLoggerHook', by_epoch=False)]) +dist_params = dict(backend='nccl') +log_level = 'INFO' +load_from = None +resume_from = None +workflow = [('train', 1)] +cudnn_benchmark = True +optimizer = dict( + type='AdamW', lr=0.00015, betas=[0.9, 0.96], weight_decay=0.045) +optimizer_config = dict() +lr_config = dict( + policy='step', + warmup='linear', + warmup_iters=1000, + warmup_ratio=1e-06, + step=20000, + gamma=0.5, + min_lr=1e-06, + by_epoch=False) +runner = dict(type='IterBasedRunner', max_iters=160000) +checkpoint_config = dict(by_epoch=False, interval=16000, max_keep_ckpts=1) +evaluation = dict( + interval=16000, metric='mIoU', pre_eval=True, save_best='mIoU') +custom_hooks = [ + dict( + type='ConstantMomentumEMAHook', + momentum=0.01, + interval=25, + eval_interval=16000, + auto_resume=True, + priority=49) +] +work_dir = './work_dirs2/ablation_segformer_mit_b2_segformer_head_unet_fc_small_multi_step_ade_pretrained_freeze_embed_160k_ade20k151_finetune_ema_cos' +gpu_ids = range(0, 8) +auto_resume = True diff --git 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b/ablation/ablation_segformer_mit_b2_segformer_head_unet_fc_small_multi_step_ade_pretrained_freeze_embed_160k_ade20k151_finetune_ema_t20/20230304_011047.log @@ -0,0 +1,6227 @@ +2023-03-04 01:10:47,277 - mmseg - INFO - Multi-processing start method is `None` +2023-03-04 01:10:47,295 - mmseg - INFO - OpenCV num_threads is `128 +2023-03-04 01:10:47,295 - mmseg - INFO - OMP num threads is 1 +2023-03-04 01:10:47,356 - mmseg - INFO - Environment info: +------------------------------------------------------------ +sys.platform: linux +Python: 3.7.16 (default, Jan 17 2023, 22:20:44) [GCC 11.2.0] +CUDA available: True +GPU 0,1,2,3,4,5,6,7: NVIDIA A100-SXM4-80GB +CUDA_HOME: /mnt/petrelfs/laizeqiang/miniconda3/envs/torch +NVCC: Cuda compilation tools, release 11.6, V11.6.124 +GCC: gcc (GCC) 4.8.5 20150623 (Red Hat 4.8.5-44) +PyTorch: 1.13.1 +PyTorch compiling details: PyTorch built with: + - GCC 9.3 + - C++ Version: 201402 + - Intel(R) oneAPI Math Kernel Library Version 2021.4-Product Build 20210904 for Intel(R) 64 architecture applications + - Intel(R) MKL-DNN v2.6.0 (Git Hash 52b5f107dd9cf10910aaa19cb47f3abf9b349815) + - OpenMP 201511 (a.k.a. OpenMP 4.5) + - LAPACK is enabled (usually provided by MKL) + - NNPACK is enabled + - CPU capability usage: AVX2 + - CUDA Runtime 11.6 + - NVCC architecture flags: -gencode;arch=compute_37,code=sm_37;-gencode;arch=compute_50,code=sm_50;-gencode;arch=compute_60,code=sm_60;-gencode;arch=compute_61,code=sm_61;-gencode;arch=compute_70,code=sm_70;-gencode;arch=compute_75,code=sm_75;-gencode;arch=compute_80,code=sm_80;-gencode;arch=compute_86,code=sm_86;-gencode;arch=compute_37,code=compute_37 + - CuDNN 8.3.2 (built against CUDA 11.5) + - Magma 2.6.1 + - Build settings: BLAS_INFO=mkl, BUILD_TYPE=Release, CUDA_VERSION=11.6, CUDNN_VERSION=8.3.2, CXX_COMPILER=/opt/rh/devtoolset-9/root/usr/bin/c++, CXX_FLAGS= -fabi-version=11 -Wno-deprecated -fvisibility-inlines-hidden -DUSE_PTHREADPOOL -fopenmp -DNDEBUG -DUSE_KINETO -DUSE_FBGEMM -DUSE_QNNPACK -DUSE_PYTORCH_QNNPACK -DUSE_XNNPACK -DSYMBOLICATE_MOBILE_DEBUG_HANDLE -DEDGE_PROFILER_USE_KINETO -O2 -fPIC -Wno-narrowing -Wall -Wextra -Werror=return-type -Werror=non-virtual-dtor -Wno-missing-field-initializers -Wno-type-limits -Wno-array-bounds -Wno-unknown-pragmas -Wunused-local-typedefs -Wno-unused-parameter -Wno-unused-function -Wno-unused-result -Wno-strict-overflow -Wno-strict-aliasing -Wno-error=deprecated-declarations -Wno-stringop-overflow -Wno-psabi -Wno-error=pedantic -Wno-error=redundant-decls -Wno-error=old-style-cast -fdiagnostics-color=always -faligned-new -Wno-unused-but-set-variable -Wno-maybe-uninitialized -fno-math-errno -fno-trapping-math -Werror=format -Werror=cast-function-type -Wno-stringop-overflow, LAPACK_INFO=mkl, PERF_WITH_AVX=1, PERF_WITH_AVX2=1, PERF_WITH_AVX512=1, TORCH_VERSION=1.13.1, USE_CUDA=ON, USE_CUDNN=ON, USE_EXCEPTION_PTR=1, USE_GFLAGS=OFF, USE_GLOG=OFF, USE_MKL=ON, USE_MKLDNN=ON, USE_MPI=OFF, USE_NCCL=ON, USE_NNPACK=ON, USE_OPENMP=ON, USE_ROCM=OFF, + +TorchVision: 0.14.1 +OpenCV: 4.7.0 +MMCV: 1.7.1 +MMCV Compiler: GCC 9.3 +MMCV CUDA Compiler: 11.6 +MMSegmentation: 0.30.0+ab851eb +------------------------------------------------------------ + +2023-03-04 01:10:47,356 - mmseg - INFO - Distributed training: True +2023-03-04 01:10:48,062 - mmseg - INFO - Config: +norm_cfg = dict(type='SyncBN', requires_grad=True) +checkpoint = 'work_dirs2/segformer_mit_b2_segformer_head_unet_fc_single_step_ade_pretrained_freeze_embed_80k_ade20k151/best_mIoU_iter_64000.pth' +model = dict( + type='EncoderDecoderDiffusion', + freeze_parameters=['backbone', 'decode_head'], + pretrained= + 'work_dirs2/segformer_mit_b2_segformer_head_unet_fc_single_step_ade_pretrained_freeze_embed_80k_ade20k151/best_mIoU_iter_64000.pth', + backbone=dict( + type='MixVisionTransformerCustomInitWeights', + in_channels=3, + embed_dims=64, + num_stages=4, + num_layers=[3, 4, 6, 3], + num_heads=[1, 2, 5, 8], + patch_sizes=[7, 3, 3, 3], + sr_ratios=[8, 4, 2, 1], + out_indices=(0, 1, 2, 3), + mlp_ratio=4, + qkv_bias=True, + drop_rate=0.0, + attn_drop_rate=0.0, + drop_path_rate=0.1), + decode_head=dict( + type='SegformerHeadUnetFCHeadMultiStep', + pretrained= + 'work_dirs2/segformer_mit_b2_segformer_head_unet_fc_single_step_ade_pretrained_freeze_embed_80k_ade20k151/best_mIoU_iter_64000.pth', + dim=128, + out_dim=256, + unet_channels=272, + dim_mults=[1, 1, 1], + cat_embedding_dim=16, + diffusion_timesteps=20, + collect_timesteps=[ + 0, 1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14, 15, 16, 17, 18, + 19 + ], + in_channels=[64, 128, 320, 512], + in_index=[0, 1, 2, 3], + channels=256, + dropout_ratio=0.1, + num_classes=151, + norm_cfg=dict(type='SyncBN', requires_grad=True), + align_corners=False, + ignore_index=0, + loss_decode=dict( + type='CrossEntropyLoss', use_sigmoid=False, loss_weight=1.0)), + train_cfg=dict(), + test_cfg=dict(mode='whole')) +dataset_type = 'ADE20K151Dataset' +data_root = 'data/ade/ADEChallengeData2016' +img_norm_cfg = dict( + mean=[123.675, 116.28, 103.53], std=[58.395, 57.12, 57.375], to_rgb=True) +crop_size = (512, 512) +train_pipeline = [ + dict(type='LoadImageFromFile'), + dict(type='LoadAnnotations', reduce_zero_label=False), + dict(type='Resize', img_scale=(2048, 512), ratio_range=(0.5, 2.0)), + dict(type='RandomCrop', crop_size=(512, 512), cat_max_ratio=0.75), + dict(type='RandomFlip', prob=0.5), + dict(type='PhotoMetricDistortion'), + dict( + type='Normalize', + mean=[123.675, 116.28, 103.53], + std=[58.395, 57.12, 57.375], + to_rgb=True), + dict(type='Pad', size=(512, 512), pad_val=0, seg_pad_val=0), + dict(type='DefaultFormatBundle'), + dict(type='Collect', keys=['img', 'gt_semantic_seg']) +] +test_pipeline = [ + dict(type='LoadImageFromFile'), + dict( + type='MultiScaleFlipAug', + img_scale=(2048, 512), + flip=False, + transforms=[ + dict(type='Resize', keep_ratio=True), + dict(type='RandomFlip'), + dict( + type='Normalize', + mean=[123.675, 116.28, 103.53], + std=[58.395, 57.12, 57.375], + to_rgb=True), + dict(type='Pad', size_divisor=16, pad_val=0, seg_pad_val=0), + dict(type='ImageToTensor', keys=['img']), + dict(type='Collect', keys=['img']) + ]) +] +data = dict( + samples_per_gpu=4, + workers_per_gpu=4, + train=dict( + type='ADE20K151Dataset', + data_root='data/ade/ADEChallengeData2016', + img_dir='images/training', + ann_dir='annotations/training', + pipeline=[ + dict(type='LoadImageFromFile'), + dict(type='LoadAnnotations', reduce_zero_label=False), + dict(type='Resize', img_scale=(2048, 512), ratio_range=(0.5, 2.0)), + dict(type='RandomCrop', crop_size=(512, 512), cat_max_ratio=0.75), + dict(type='RandomFlip', prob=0.5), + dict(type='PhotoMetricDistortion'), + dict( + type='Normalize', + mean=[123.675, 116.28, 103.53], + std=[58.395, 57.12, 57.375], + to_rgb=True), + dict(type='Pad', size=(512, 512), pad_val=0, seg_pad_val=0), + dict(type='DefaultFormatBundle'), + dict(type='Collect', keys=['img', 'gt_semantic_seg']) + ]), + val=dict( + type='ADE20K151Dataset', + data_root='data/ade/ADEChallengeData2016', + img_dir='images/validation', + ann_dir='annotations/validation', + pipeline=[ + dict(type='LoadImageFromFile'), + dict( + type='MultiScaleFlipAug', + img_scale=(2048, 512), + flip=False, + transforms=[ + dict(type='Resize', keep_ratio=True), + dict(type='RandomFlip'), + dict( + type='Normalize', + mean=[123.675, 116.28, 103.53], + std=[58.395, 57.12, 57.375], + to_rgb=True), + dict( + type='Pad', size_divisor=16, pad_val=0, seg_pad_val=0), + dict(type='ImageToTensor', keys=['img']), + dict(type='Collect', keys=['img']) + ]) + ]), + test=dict( + type='ADE20K151Dataset', + data_root='data/ade/ADEChallengeData2016', + img_dir='images/validation', + ann_dir='annotations/validation', + pipeline=[ + dict(type='LoadImageFromFile'), + dict( + type='MultiScaleFlipAug', + img_scale=(2048, 512), + flip=False, + transforms=[ + dict(type='Resize', keep_ratio=True), + dict(type='RandomFlip'), + dict( + type='Normalize', + mean=[123.675, 116.28, 103.53], + std=[58.395, 57.12, 57.375], + to_rgb=True), + dict( + type='Pad', size_divisor=16, pad_val=0, seg_pad_val=0), + dict(type='ImageToTensor', keys=['img']), + dict(type='Collect', keys=['img']) + ]) + ])) +log_config = dict( + interval=50, hooks=[dict(type='TextLoggerHook', by_epoch=False)]) +dist_params = dict(backend='nccl') +log_level = 'INFO' +load_from = None +resume_from = None +workflow = [('train', 1)] +cudnn_benchmark = True +optimizer = dict( + type='AdamW', lr=0.00015, betas=[0.9, 0.96], weight_decay=0.045) +optimizer_config = dict() +lr_config = dict( + policy='step', + warmup='linear', + warmup_iters=1000, + warmup_ratio=1e-06, + step=50000, + gamma=0.5, + min_lr=1e-06, + by_epoch=False) +runner = dict(type='IterBasedRunner', max_iters=160000) +checkpoint_config = dict(by_epoch=False, interval=16000, max_keep_ckpts=1) +evaluation = dict( + interval=16000, metric='mIoU', pre_eval=True, save_best='mIoU') +custom_hooks = [ + dict( + type='ConstantMomentumEMAHook', + momentum=0.01, + interval=25, + eval_interval=16000, + auto_resume=True, + priority=49) +] +work_dir = './work_dirs2/ablation_segformer_mit_b2_segformer_head_unet_fc_small_multi_step_ade_pretrained_freeze_embed_160k_ade20k151_finetune_ema_t20' +gpu_ids = range(0, 8) +auto_resume = True + +2023-03-04 01:10:52,394 - mmseg - INFO - Set random seed to 210567428, deterministic: False +2023-03-04 01:10:52,659 - mmseg - INFO - Parameters in backbone freezed! +2023-03-04 01:10:52,660 - mmseg - INFO - Trainable parameters in SegformerHeadUnetFCHeadMultiStep: ['unet.init_conv.weight', 'unet.init_conv.bias', 'unet.time_mlp.1.weight', 'unet.time_mlp.1.bias', 'unet.time_mlp.3.weight', 'unet.time_mlp.3.bias', 'unet.downs.0.0.mlp.1.weight', 'unet.downs.0.0.mlp.1.bias', 'unet.downs.0.0.block1.proj.weight', 'unet.downs.0.0.block1.proj.bias', 'unet.downs.0.0.block1.norm.weight', 'unet.downs.0.0.block1.norm.bias', 'unet.downs.0.0.block2.proj.weight', 'unet.downs.0.0.block2.proj.bias', 'unet.downs.0.0.block2.norm.weight', 'unet.downs.0.0.block2.norm.bias', 'unet.downs.0.1.mlp.1.weight', 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checkpoint from local path: work_dirs2/segformer_mit_b2_segformer_head_unet_fc_single_step_ade_pretrained_freeze_embed_80k_ade20k151/best_mIoU_iter_64000.pth +2023-03-04 01:10:53,497 - mmseg - WARNING - The model and loaded state dict do not match exactly + +unexpected key in source state_dict: decode_head.convs.0.conv.weight, decode_head.convs.0.bn.weight, decode_head.convs.0.bn.bias, decode_head.convs.0.bn.running_mean, decode_head.convs.0.bn.running_var, decode_head.convs.0.bn.num_batches_tracked, decode_head.convs.1.conv.weight, decode_head.convs.1.bn.weight, decode_head.convs.1.bn.bias, decode_head.convs.1.bn.running_mean, decode_head.convs.1.bn.running_var, decode_head.convs.1.bn.num_batches_tracked, decode_head.convs.2.conv.weight, decode_head.convs.2.bn.weight, decode_head.convs.2.bn.bias, decode_head.convs.2.bn.running_mean, decode_head.convs.2.bn.running_var, decode_head.convs.2.bn.num_batches_tracked, decode_head.convs.3.conv.weight, decode_head.convs.3.bn.weight, 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backbone.layers.3.1.1.ffn.layers.1.weight, backbone.layers.3.1.1.ffn.layers.1.bias, backbone.layers.3.1.1.ffn.layers.4.weight, backbone.layers.3.1.1.ffn.layers.4.bias, backbone.layers.3.1.2.norm1.weight, backbone.layers.3.1.2.norm1.bias, backbone.layers.3.1.2.attn.attn.in_proj_weight, backbone.layers.3.1.2.attn.attn.in_proj_bias, backbone.layers.3.1.2.attn.attn.out_proj.weight, backbone.layers.3.1.2.attn.attn.out_proj.bias, backbone.layers.3.1.2.norm2.weight, backbone.layers.3.1.2.norm2.bias, backbone.layers.3.1.2.ffn.layers.0.weight, backbone.layers.3.1.2.ffn.layers.0.bias, backbone.layers.3.1.2.ffn.layers.1.weight, backbone.layers.3.1.2.ffn.layers.1.bias, backbone.layers.3.1.2.ffn.layers.4.weight, backbone.layers.3.1.2.ffn.layers.4.bias, backbone.layers.3.2.weight, backbone.layers.3.2.bias + +missing keys in source state_dict: log_cumprod_at, log_cumprod_bt, log_at, log_bt + +2023-03-04 01:10:53,973 - mmseg - INFO - EncoderDecoderDiffusion( + (backbone): MixVisionTransformerCustomInitWeights( + (layers): ModuleList( + (0): ModuleList( + (0): PatchEmbed( + (projection): Conv2d(3, 64, kernel_size=(7, 7), stride=(4, 4), padding=(3, 3)) + (norm): LayerNorm((64,), eps=1e-06, elementwise_affine=True) + ) + (1): ModuleList( + (0): TransformerEncoderLayer( + (norm1): LayerNorm((64,), eps=1e-06, elementwise_affine=True) + (attn): EfficientMultiheadAttention( + (attn): MultiheadAttention( + (out_proj): NonDynamicallyQuantizableLinear(in_features=64, out_features=64, bias=True) + ) + (proj_drop): Dropout(p=0.0, inplace=False) + (dropout_layer): DropPath() + (sr): Conv2d(64, 64, kernel_size=(8, 8), stride=(8, 8)) + (norm): LayerNorm((64,), eps=1e-06, elementwise_affine=True) + ) + (norm2): LayerNorm((64,), eps=1e-06, elementwise_affine=True) + (ffn): MixFFN( + (activate): GELU(approximate='none') + (layers): Sequential( + (0): Conv2d(64, 256, kernel_size=(1, 1), stride=(1, 1)) + (1): Conv2d(256, 256, kernel_size=(3, 3), stride=(1, 1), padding=(1, 1), groups=256) + (2): GELU(approximate='none') + (3): Dropout(p=0.0, inplace=False) + (4): Conv2d(256, 64, kernel_size=(1, 1), stride=(1, 1)) + (5): Dropout(p=0.0, inplace=False) + ) + (dropout_layer): DropPath() + ) + ) + (1): TransformerEncoderLayer( + (norm1): LayerNorm((64,), eps=1e-06, elementwise_affine=True) + (attn): EfficientMultiheadAttention( + (attn): MultiheadAttention( + (out_proj): NonDynamicallyQuantizableLinear(in_features=64, out_features=64, bias=True) + ) + (proj_drop): Dropout(p=0.0, inplace=False) + (dropout_layer): DropPath() + (sr): Conv2d(64, 64, kernel_size=(8, 8), stride=(8, 8)) + (norm): LayerNorm((64,), eps=1e-06, elementwise_affine=True) + ) + (norm2): LayerNorm((64,), eps=1e-06, elementwise_affine=True) + (ffn): MixFFN( + (activate): GELU(approximate='none') + (layers): Sequential( + (0): Conv2d(64, 256, kernel_size=(1, 1), stride=(1, 1)) + (1): Conv2d(256, 256, kernel_size=(3, 3), stride=(1, 1), padding=(1, 1), groups=256) + (2): GELU(approximate='none') + (3): Dropout(p=0.0, inplace=False) + (4): Conv2d(256, 64, kernel_size=(1, 1), stride=(1, 1)) + (5): Dropout(p=0.0, inplace=False) + ) + (dropout_layer): DropPath() + ) + ) + (2): TransformerEncoderLayer( + (norm1): LayerNorm((64,), eps=1e-06, elementwise_affine=True) + (attn): EfficientMultiheadAttention( + (attn): MultiheadAttention( + (out_proj): NonDynamicallyQuantizableLinear(in_features=64, out_features=64, bias=True) + ) + (proj_drop): Dropout(p=0.0, inplace=False) + (dropout_layer): DropPath() + (sr): Conv2d(64, 64, kernel_size=(8, 8), stride=(8, 8)) + (norm): LayerNorm((64,), eps=1e-06, elementwise_affine=True) + ) + (norm2): LayerNorm((64,), eps=1e-06, elementwise_affine=True) + (ffn): MixFFN( + (activate): GELU(approximate='none') + (layers): Sequential( + (0): Conv2d(64, 256, kernel_size=(1, 1), stride=(1, 1)) + (1): Conv2d(256, 256, kernel_size=(3, 3), stride=(1, 1), padding=(1, 1), groups=256) + (2): GELU(approximate='none') + (3): Dropout(p=0.0, inplace=False) + (4): Conv2d(256, 64, kernel_size=(1, 1), stride=(1, 1)) + (5): Dropout(p=0.0, inplace=False) + ) + (dropout_layer): DropPath() + ) + ) + ) + (2): LayerNorm((64,), eps=1e-06, elementwise_affine=True) + ) + (1): ModuleList( + (0): PatchEmbed( + (projection): Conv2d(64, 128, kernel_size=(3, 3), stride=(2, 2), padding=(1, 1)) + (norm): LayerNorm((128,), eps=1e-06, elementwise_affine=True) + ) + (1): ModuleList( + (0): TransformerEncoderLayer( + (norm1): LayerNorm((128,), eps=1e-06, elementwise_affine=True) + (attn): EfficientMultiheadAttention( + (attn): MultiheadAttention( + (out_proj): NonDynamicallyQuantizableLinear(in_features=128, out_features=128, bias=True) + ) + (proj_drop): Dropout(p=0.0, inplace=False) + (dropout_layer): DropPath() + (sr): Conv2d(128, 128, kernel_size=(4, 4), stride=(4, 4)) + (norm): LayerNorm((128,), eps=1e-06, elementwise_affine=True) + ) + (norm2): LayerNorm((128,), eps=1e-06, elementwise_affine=True) + (ffn): MixFFN( + (activate): GELU(approximate='none') + (layers): Sequential( + (0): Conv2d(128, 512, kernel_size=(1, 1), stride=(1, 1)) + (1): Conv2d(512, 512, kernel_size=(3, 3), stride=(1, 1), padding=(1, 1), groups=512) + (2): GELU(approximate='none') + (3): Dropout(p=0.0, inplace=False) + (4): Conv2d(512, 128, kernel_size=(1, 1), stride=(1, 1)) + (5): Dropout(p=0.0, inplace=False) + ) + (dropout_layer): DropPath() + ) + ) + (1): TransformerEncoderLayer( + (norm1): LayerNorm((128,), eps=1e-06, elementwise_affine=True) + (attn): EfficientMultiheadAttention( + (attn): MultiheadAttention( + (out_proj): NonDynamicallyQuantizableLinear(in_features=128, out_features=128, bias=True) + ) + (proj_drop): Dropout(p=0.0, inplace=False) + (dropout_layer): DropPath() + (sr): Conv2d(128, 128, kernel_size=(4, 4), stride=(4, 4)) + (norm): LayerNorm((128,), eps=1e-06, elementwise_affine=True) + ) + (norm2): LayerNorm((128,), eps=1e-06, elementwise_affine=True) + (ffn): MixFFN( + (activate): GELU(approximate='none') + (layers): Sequential( + (0): Conv2d(128, 512, kernel_size=(1, 1), stride=(1, 1)) + (1): Conv2d(512, 512, kernel_size=(3, 3), stride=(1, 1), padding=(1, 1), groups=512) + (2): GELU(approximate='none') + (3): Dropout(p=0.0, inplace=False) + (4): Conv2d(512, 128, kernel_size=(1, 1), stride=(1, 1)) + (5): Dropout(p=0.0, inplace=False) + ) + (dropout_layer): DropPath() + ) + ) + (2): TransformerEncoderLayer( + (norm1): LayerNorm((128,), eps=1e-06, elementwise_affine=True) + (attn): EfficientMultiheadAttention( + (attn): MultiheadAttention( + (out_proj): NonDynamicallyQuantizableLinear(in_features=128, out_features=128, bias=True) + ) + (proj_drop): Dropout(p=0.0, inplace=False) + (dropout_layer): DropPath() + (sr): Conv2d(128, 128, kernel_size=(4, 4), stride=(4, 4)) + (norm): LayerNorm((128,), eps=1e-06, elementwise_affine=True) + ) + (norm2): LayerNorm((128,), eps=1e-06, elementwise_affine=True) + (ffn): MixFFN( + (activate): GELU(approximate='none') + (layers): Sequential( + (0): Conv2d(128, 512, kernel_size=(1, 1), stride=(1, 1)) + (1): Conv2d(512, 512, kernel_size=(3, 3), stride=(1, 1), padding=(1, 1), groups=512) + (2): GELU(approximate='none') + (3): Dropout(p=0.0, inplace=False) + (4): Conv2d(512, 128, kernel_size=(1, 1), stride=(1, 1)) + (5): Dropout(p=0.0, inplace=False) + ) + (dropout_layer): DropPath() + ) + ) + (3): TransformerEncoderLayer( + (norm1): LayerNorm((128,), eps=1e-06, elementwise_affine=True) + (attn): EfficientMultiheadAttention( + (attn): MultiheadAttention( + (out_proj): NonDynamicallyQuantizableLinear(in_features=128, out_features=128, bias=True) + ) + (proj_drop): Dropout(p=0.0, inplace=False) + (dropout_layer): DropPath() + (sr): Conv2d(128, 128, kernel_size=(4, 4), stride=(4, 4)) + (norm): LayerNorm((128,), eps=1e-06, elementwise_affine=True) + ) + (norm2): LayerNorm((128,), eps=1e-06, elementwise_affine=True) + (ffn): MixFFN( + (activate): GELU(approximate='none') + (layers): Sequential( + (0): Conv2d(128, 512, kernel_size=(1, 1), stride=(1, 1)) + (1): Conv2d(512, 512, kernel_size=(3, 3), stride=(1, 1), padding=(1, 1), groups=512) + (2): GELU(approximate='none') + (3): Dropout(p=0.0, inplace=False) + (4): Conv2d(512, 128, kernel_size=(1, 1), stride=(1, 1)) + (5): Dropout(p=0.0, inplace=False) + ) + (dropout_layer): DropPath() + ) + ) + ) + (2): LayerNorm((128,), eps=1e-06, elementwise_affine=True) + ) + (2): ModuleList( + (0): PatchEmbed( + (projection): Conv2d(128, 320, kernel_size=(3, 3), stride=(2, 2), padding=(1, 1)) + (norm): LayerNorm((320,), eps=1e-06, elementwise_affine=True) + ) + (1): ModuleList( + (0): TransformerEncoderLayer( + (norm1): LayerNorm((320,), eps=1e-06, elementwise_affine=True) + (attn): EfficientMultiheadAttention( + (attn): MultiheadAttention( + (out_proj): NonDynamicallyQuantizableLinear(in_features=320, out_features=320, bias=True) + ) + (proj_drop): Dropout(p=0.0, inplace=False) + (dropout_layer): DropPath() + (sr): Conv2d(320, 320, kernel_size=(2, 2), stride=(2, 2)) + (norm): LayerNorm((320,), eps=1e-06, elementwise_affine=True) + ) + (norm2): LayerNorm((320,), eps=1e-06, elementwise_affine=True) + (ffn): MixFFN( + (activate): GELU(approximate='none') + (layers): Sequential( + (0): Conv2d(320, 1280, kernel_size=(1, 1), stride=(1, 1)) + (1): Conv2d(1280, 1280, kernel_size=(3, 3), stride=(1, 1), padding=(1, 1), groups=1280) + (2): GELU(approximate='none') + (3): Dropout(p=0.0, inplace=False) + (4): Conv2d(1280, 320, kernel_size=(1, 1), stride=(1, 1)) + (5): Dropout(p=0.0, inplace=False) + ) + (dropout_layer): DropPath() + ) + ) + (1): TransformerEncoderLayer( + (norm1): LayerNorm((320,), eps=1e-06, elementwise_affine=True) + (attn): EfficientMultiheadAttention( + (attn): MultiheadAttention( + (out_proj): NonDynamicallyQuantizableLinear(in_features=320, out_features=320, bias=True) + ) + (proj_drop): Dropout(p=0.0, inplace=False) + (dropout_layer): DropPath() + (sr): Conv2d(320, 320, kernel_size=(2, 2), stride=(2, 2)) + (norm): LayerNorm((320,), eps=1e-06, elementwise_affine=True) + ) + (norm2): LayerNorm((320,), eps=1e-06, elementwise_affine=True) + (ffn): MixFFN( + (activate): GELU(approximate='none') + (layers): Sequential( + (0): Conv2d(320, 1280, kernel_size=(1, 1), stride=(1, 1)) + (1): Conv2d(1280, 1280, kernel_size=(3, 3), stride=(1, 1), padding=(1, 1), groups=1280) + (2): GELU(approximate='none') + (3): Dropout(p=0.0, inplace=False) + (4): Conv2d(1280, 320, kernel_size=(1, 1), stride=(1, 1)) + (5): Dropout(p=0.0, inplace=False) + ) + (dropout_layer): DropPath() + ) + ) + (2): TransformerEncoderLayer( + (norm1): LayerNorm((320,), eps=1e-06, elementwise_affine=True) + (attn): EfficientMultiheadAttention( + (attn): MultiheadAttention( + (out_proj): NonDynamicallyQuantizableLinear(in_features=320, out_features=320, bias=True) + ) + (proj_drop): Dropout(p=0.0, inplace=False) + (dropout_layer): DropPath() + (sr): Conv2d(320, 320, kernel_size=(2, 2), stride=(2, 2)) + (norm): LayerNorm((320,), eps=1e-06, elementwise_affine=True) + ) + (norm2): LayerNorm((320,), eps=1e-06, elementwise_affine=True) + (ffn): MixFFN( + (activate): GELU(approximate='none') + (layers): Sequential( + (0): Conv2d(320, 1280, kernel_size=(1, 1), stride=(1, 1)) + (1): Conv2d(1280, 1280, kernel_size=(3, 3), stride=(1, 1), padding=(1, 1), groups=1280) + (2): GELU(approximate='none') + (3): Dropout(p=0.0, inplace=False) + (4): Conv2d(1280, 320, kernel_size=(1, 1), stride=(1, 1)) + (5): Dropout(p=0.0, inplace=False) + ) + (dropout_layer): DropPath() + ) + ) + (3): TransformerEncoderLayer( + (norm1): LayerNorm((320,), eps=1e-06, elementwise_affine=True) + (attn): EfficientMultiheadAttention( + (attn): MultiheadAttention( + (out_proj): NonDynamicallyQuantizableLinear(in_features=320, out_features=320, bias=True) + ) + (proj_drop): Dropout(p=0.0, inplace=False) + (dropout_layer): DropPath() + (sr): Conv2d(320, 320, kernel_size=(2, 2), stride=(2, 2)) + (norm): LayerNorm((320,), eps=1e-06, elementwise_affine=True) + ) + (norm2): LayerNorm((320,), eps=1e-06, elementwise_affine=True) + (ffn): MixFFN( + (activate): GELU(approximate='none') + (layers): Sequential( + (0): Conv2d(320, 1280, kernel_size=(1, 1), stride=(1, 1)) + (1): Conv2d(1280, 1280, kernel_size=(3, 3), stride=(1, 1), padding=(1, 1), groups=1280) + (2): GELU(approximate='none') + (3): Dropout(p=0.0, inplace=False) + (4): Conv2d(1280, 320, kernel_size=(1, 1), stride=(1, 1)) + (5): Dropout(p=0.0, inplace=False) + ) + (dropout_layer): DropPath() + ) + ) + (4): TransformerEncoderLayer( + (norm1): LayerNorm((320,), eps=1e-06, elementwise_affine=True) + (attn): EfficientMultiheadAttention( + (attn): MultiheadAttention( + (out_proj): NonDynamicallyQuantizableLinear(in_features=320, out_features=320, bias=True) + ) + (proj_drop): Dropout(p=0.0, inplace=False) + (dropout_layer): DropPath() + (sr): Conv2d(320, 320, kernel_size=(2, 2), stride=(2, 2)) + (norm): LayerNorm((320,), eps=1e-06, elementwise_affine=True) + ) + (norm2): LayerNorm((320,), eps=1e-06, elementwise_affine=True) + (ffn): MixFFN( + (activate): GELU(approximate='none') + (layers): Sequential( + (0): Conv2d(320, 1280, kernel_size=(1, 1), stride=(1, 1)) + (1): Conv2d(1280, 1280, kernel_size=(3, 3), stride=(1, 1), padding=(1, 1), groups=1280) + (2): GELU(approximate='none') + (3): Dropout(p=0.0, inplace=False) + (4): Conv2d(1280, 320, kernel_size=(1, 1), stride=(1, 1)) + (5): Dropout(p=0.0, inplace=False) + ) + (dropout_layer): DropPath() + ) + ) + (5): TransformerEncoderLayer( + (norm1): LayerNorm((320,), eps=1e-06, elementwise_affine=True) + (attn): EfficientMultiheadAttention( + (attn): MultiheadAttention( + (out_proj): NonDynamicallyQuantizableLinear(in_features=320, out_features=320, bias=True) + ) + (proj_drop): Dropout(p=0.0, inplace=False) + (dropout_layer): DropPath() + (sr): Conv2d(320, 320, kernel_size=(2, 2), stride=(2, 2)) + (norm): LayerNorm((320,), eps=1e-06, elementwise_affine=True) + ) + (norm2): LayerNorm((320,), eps=1e-06, elementwise_affine=True) + (ffn): MixFFN( + (activate): GELU(approximate='none') + (layers): Sequential( + (0): Conv2d(320, 1280, kernel_size=(1, 1), stride=(1, 1)) + (1): Conv2d(1280, 1280, kernel_size=(3, 3), stride=(1, 1), padding=(1, 1), groups=1280) + (2): GELU(approximate='none') + (3): Dropout(p=0.0, inplace=False) + (4): Conv2d(1280, 320, kernel_size=(1, 1), stride=(1, 1)) + (5): Dropout(p=0.0, inplace=False) + ) + (dropout_layer): DropPath() + ) + ) + ) + (2): LayerNorm((320,), eps=1e-06, elementwise_affine=True) + ) + (3): ModuleList( + (0): PatchEmbed( + (projection): Conv2d(320, 512, kernel_size=(3, 3), stride=(2, 2), padding=(1, 1)) + (norm): LayerNorm((512,), eps=1e-06, elementwise_affine=True) + ) + (1): ModuleList( + (0): TransformerEncoderLayer( + (norm1): LayerNorm((512,), eps=1e-06, elementwise_affine=True) + (attn): EfficientMultiheadAttention( + (attn): MultiheadAttention( + (out_proj): NonDynamicallyQuantizableLinear(in_features=512, out_features=512, bias=True) + ) + (proj_drop): Dropout(p=0.0, inplace=False) + (dropout_layer): DropPath() + ) + (norm2): LayerNorm((512,), eps=1e-06, elementwise_affine=True) + (ffn): MixFFN( + (activate): GELU(approximate='none') + (layers): Sequential( + (0): Conv2d(512, 2048, kernel_size=(1, 1), stride=(1, 1)) + (1): Conv2d(2048, 2048, kernel_size=(3, 3), stride=(1, 1), padding=(1, 1), groups=2048) + (2): GELU(approximate='none') + (3): Dropout(p=0.0, inplace=False) + (4): Conv2d(2048, 512, kernel_size=(1, 1), stride=(1, 1)) + (5): Dropout(p=0.0, inplace=False) + ) + (dropout_layer): DropPath() + ) + ) + (1): TransformerEncoderLayer( + (norm1): LayerNorm((512,), eps=1e-06, elementwise_affine=True) + (attn): EfficientMultiheadAttention( + (attn): MultiheadAttention( + (out_proj): NonDynamicallyQuantizableLinear(in_features=512, out_features=512, bias=True) + ) + (proj_drop): Dropout(p=0.0, inplace=False) + (dropout_layer): DropPath() + ) + (norm2): LayerNorm((512,), eps=1e-06, elementwise_affine=True) + (ffn): MixFFN( + (activate): GELU(approximate='none') + (layers): Sequential( + (0): Conv2d(512, 2048, kernel_size=(1, 1), stride=(1, 1)) + (1): Conv2d(2048, 2048, kernel_size=(3, 3), stride=(1, 1), padding=(1, 1), groups=2048) + (2): GELU(approximate='none') + (3): Dropout(p=0.0, inplace=False) + (4): Conv2d(2048, 512, kernel_size=(1, 1), stride=(1, 1)) + (5): Dropout(p=0.0, inplace=False) + ) + (dropout_layer): DropPath() + ) + ) + (2): TransformerEncoderLayer( + (norm1): LayerNorm((512,), eps=1e-06, elementwise_affine=True) + (attn): EfficientMultiheadAttention( + (attn): MultiheadAttention( + (out_proj): NonDynamicallyQuantizableLinear(in_features=512, out_features=512, bias=True) + ) + (proj_drop): Dropout(p=0.0, inplace=False) + (dropout_layer): DropPath() + ) + (norm2): LayerNorm((512,), eps=1e-06, elementwise_affine=True) + (ffn): MixFFN( + (activate): GELU(approximate='none') + (layers): Sequential( + (0): Conv2d(512, 2048, kernel_size=(1, 1), stride=(1, 1)) + (1): Conv2d(2048, 2048, kernel_size=(3, 3), stride=(1, 1), padding=(1, 1), groups=2048) + (2): GELU(approximate='none') + (3): Dropout(p=0.0, inplace=False) + (4): Conv2d(2048, 512, kernel_size=(1, 1), stride=(1, 1)) + (5): Dropout(p=0.0, inplace=False) + ) + (dropout_layer): DropPath() + ) + ) + ) + (2): LayerNorm((512,), eps=1e-06, elementwise_affine=True) + ) + ) + ) + init_cfg={'type': 'Pretrained', 'checkpoint': 'work_dirs2/segformer_mit_b2_segformer_head_unet_fc_single_step_ade_pretrained_freeze_embed_80k_ade20k151/best_mIoU_iter_64000.pth'} + (decode_head): SegformerHeadUnetFCHeadMultiStep( + input_transform=multiple_select, ignore_index=0, align_corners=False + (loss_decode): CrossEntropyLoss(avg_non_ignore=False) + (conv_seg): None + (dropout): Dropout2d(p=0.1, inplace=False) + (convs): ModuleList( + (0): ConvModule( + (conv): Conv2d(64, 256, kernel_size=(1, 1), stride=(1, 1), bias=False) + (bn): SyncBatchNorm(256, eps=1e-05, momentum=0.1, affine=True, track_running_stats=True) + (activate): ReLU(inplace=True) + ) + (1): ConvModule( + (conv): Conv2d(128, 256, kernel_size=(1, 1), stride=(1, 1), bias=False) + (bn): SyncBatchNorm(256, eps=1e-05, momentum=0.1, affine=True, track_running_stats=True) + (activate): ReLU(inplace=True) + ) + (2): ConvModule( + (conv): Conv2d(320, 256, kernel_size=(1, 1), stride=(1, 1), bias=False) + (bn): SyncBatchNorm(256, eps=1e-05, momentum=0.1, affine=True, track_running_stats=True) + (activate): ReLU(inplace=True) + ) + (3): ConvModule( + (conv): Conv2d(512, 256, kernel_size=(1, 1), stride=(1, 1), bias=False) + (bn): SyncBatchNorm(256, eps=1e-05, momentum=0.1, affine=True, track_running_stats=True) + (activate): ReLU(inplace=True) + ) + ) + (fusion_conv): ConvModule( + (conv): Conv2d(1024, 256, kernel_size=(1, 1), stride=(1, 1), bias=False) + (bn): SyncBatchNorm(256, eps=1e-05, momentum=0.1, affine=True, track_running_stats=True) + (activate): ReLU(inplace=True) + ) + (unet): Unet( + (init_conv): Conv2d(272, 128, kernel_size=(7, 7), stride=(1, 1), padding=(3, 3)) + (time_mlp): Sequential( + (0): SinusoidalPosEmb() + (1): Linear(in_features=128, out_features=512, bias=True) + (2): GELU(approximate='none') + (3): Linear(in_features=512, out_features=512, bias=True) + ) + (downs): ModuleList( + (0): ModuleList( + (0): ResnetBlock( + (mlp): Sequential( + (0): SiLU() + (1): Linear(in_features=512, out_features=256, bias=True) + ) + (block1): Block( + (proj): WeightStandardizedConv2d(128, 128, kernel_size=(3, 3), stride=(1, 1), padding=(1, 1)) + (norm): GroupNorm(8, 128, eps=1e-05, affine=True) + (act): SiLU() + ) + (block2): Block( + (proj): WeightStandardizedConv2d(128, 128, kernel_size=(3, 3), stride=(1, 1), padding=(1, 1)) + (norm): GroupNorm(8, 128, eps=1e-05, affine=True) + (act): SiLU() + ) + (res_conv): Identity() + ) + (1): ResnetBlock( + (mlp): Sequential( + (0): SiLU() + (1): Linear(in_features=512, out_features=256, bias=True) + ) + (block1): Block( + (proj): WeightStandardizedConv2d(128, 128, kernel_size=(3, 3), stride=(1, 1), padding=(1, 1)) + (norm): GroupNorm(8, 128, eps=1e-05, affine=True) + (act): SiLU() + ) + (block2): Block( + (proj): WeightStandardizedConv2d(128, 128, kernel_size=(3, 3), stride=(1, 1), padding=(1, 1)) + (norm): GroupNorm(8, 128, eps=1e-05, affine=True) + (act): SiLU() + ) + (res_conv): Identity() + ) + (2): Residual( + (fn): PreNorm( + (fn): LinearAttention( + (to_qkv): Conv2d(128, 384, kernel_size=(1, 1), stride=(1, 1), bias=False) + (to_out): Sequential( + (0): Conv2d(128, 128, kernel_size=(1, 1), stride=(1, 1)) + (1): LayerNorm() + ) + ) + (norm): LayerNorm() + ) + ) + (3): Conv2d(128, 128, kernel_size=(4, 4), stride=(2, 2), padding=(1, 1)) + ) + (1): ModuleList( + (0): ResnetBlock( + (mlp): Sequential( + (0): SiLU() + (1): Linear(in_features=512, out_features=256, bias=True) + ) + (block1): Block( + (proj): WeightStandardizedConv2d(128, 128, kernel_size=(3, 3), stride=(1, 1), padding=(1, 1)) + (norm): GroupNorm(8, 128, eps=1e-05, affine=True) + (act): SiLU() + ) + (block2): Block( + (proj): WeightStandardizedConv2d(128, 128, kernel_size=(3, 3), stride=(1, 1), padding=(1, 1)) + (norm): GroupNorm(8, 128, eps=1e-05, affine=True) + (act): SiLU() + ) + (res_conv): Identity() + ) + (1): ResnetBlock( + (mlp): Sequential( + (0): SiLU() + (1): Linear(in_features=512, out_features=256, bias=True) + ) + (block1): Block( + (proj): WeightStandardizedConv2d(128, 128, kernel_size=(3, 3), stride=(1, 1), padding=(1, 1)) + (norm): GroupNorm(8, 128, eps=1e-05, affine=True) + (act): SiLU() + ) + (block2): Block( + (proj): WeightStandardizedConv2d(128, 128, kernel_size=(3, 3), stride=(1, 1), padding=(1, 1)) + (norm): GroupNorm(8, 128, eps=1e-05, affine=True) + (act): SiLU() + ) + (res_conv): Identity() + ) + (2): Residual( + (fn): PreNorm( + (fn): LinearAttention( + (to_qkv): Conv2d(128, 384, kernel_size=(1, 1), stride=(1, 1), bias=False) + (to_out): Sequential( + (0): Conv2d(128, 128, kernel_size=(1, 1), stride=(1, 1)) + (1): LayerNorm() + ) + ) + (norm): LayerNorm() + ) + ) + (3): Conv2d(128, 128, kernel_size=(4, 4), stride=(2, 2), padding=(1, 1)) + ) + (2): ModuleList( + (0): ResnetBlock( + (mlp): Sequential( + (0): SiLU() + (1): Linear(in_features=512, out_features=256, bias=True) + ) + (block1): Block( + (proj): WeightStandardizedConv2d(128, 128, kernel_size=(3, 3), stride=(1, 1), padding=(1, 1)) + (norm): GroupNorm(8, 128, eps=1e-05, affine=True) + (act): SiLU() + ) + (block2): Block( + (proj): WeightStandardizedConv2d(128, 128, kernel_size=(3, 3), stride=(1, 1), padding=(1, 1)) + (norm): GroupNorm(8, 128, eps=1e-05, affine=True) + (act): SiLU() + ) + (res_conv): Identity() + ) + (1): ResnetBlock( + (mlp): Sequential( + (0): SiLU() + (1): Linear(in_features=512, out_features=256, bias=True) + ) + (block1): Block( + (proj): WeightStandardizedConv2d(128, 128, kernel_size=(3, 3), stride=(1, 1), padding=(1, 1)) + (norm): GroupNorm(8, 128, eps=1e-05, affine=True) + (act): SiLU() + ) + (block2): Block( + (proj): WeightStandardizedConv2d(128, 128, kernel_size=(3, 3), stride=(1, 1), padding=(1, 1)) + (norm): GroupNorm(8, 128, eps=1e-05, affine=True) + (act): SiLU() + ) + (res_conv): Identity() + ) + (2): Residual( + (fn): PreNorm( + (fn): LinearAttention( + (to_qkv): Conv2d(128, 384, kernel_size=(1, 1), stride=(1, 1), bias=False) + (to_out): Sequential( + (0): Conv2d(128, 128, kernel_size=(1, 1), stride=(1, 1)) + (1): LayerNorm() + ) + ) + (norm): LayerNorm() + ) + ) + (3): Conv2d(128, 128, kernel_size=(3, 3), stride=(1, 1), padding=(1, 1)) + ) + ) + (ups): ModuleList( + (0): ModuleList( + (0): ResnetBlock( + (mlp): Sequential( + (0): SiLU() + (1): Linear(in_features=512, out_features=256, bias=True) + ) + (block1): Block( + (proj): WeightStandardizedConv2d(256, 128, kernel_size=(3, 3), stride=(1, 1), padding=(1, 1)) + (norm): GroupNorm(8, 128, eps=1e-05, affine=True) + (act): SiLU() + ) + (block2): Block( + (proj): WeightStandardizedConv2d(128, 128, kernel_size=(3, 3), stride=(1, 1), padding=(1, 1)) + (norm): GroupNorm(8, 128, eps=1e-05, affine=True) + (act): SiLU() + ) + (res_conv): Conv2d(256, 128, kernel_size=(1, 1), stride=(1, 1)) + ) + (1): ResnetBlock( + (mlp): Sequential( + (0): SiLU() + (1): Linear(in_features=512, out_features=256, bias=True) + ) + (block1): Block( + (proj): WeightStandardizedConv2d(256, 128, kernel_size=(3, 3), stride=(1, 1), padding=(1, 1)) + (norm): GroupNorm(8, 128, eps=1e-05, affine=True) + (act): SiLU() + ) + (block2): Block( + (proj): WeightStandardizedConv2d(128, 128, kernel_size=(3, 3), stride=(1, 1), padding=(1, 1)) + (norm): GroupNorm(8, 128, eps=1e-05, affine=True) + (act): SiLU() + ) + (res_conv): Conv2d(256, 128, kernel_size=(1, 1), stride=(1, 1)) + ) + (2): Residual( + (fn): PreNorm( + (fn): LinearAttention( + (to_qkv): Conv2d(128, 384, kernel_size=(1, 1), stride=(1, 1), bias=False) + (to_out): Sequential( + (0): Conv2d(128, 128, kernel_size=(1, 1), stride=(1, 1)) + (1): LayerNorm() + ) + ) + (norm): LayerNorm() + ) + ) + (3): Sequential( + (0): Upsample(scale_factor=2.0, mode=nearest) + (1): Conv2d(128, 128, kernel_size=(3, 3), stride=(1, 1), padding=(1, 1)) + ) + ) + (1): ModuleList( + (0): ResnetBlock( + (mlp): Sequential( + (0): SiLU() + (1): Linear(in_features=512, out_features=256, bias=True) + ) + (block1): Block( + (proj): WeightStandardizedConv2d(256, 128, kernel_size=(3, 3), stride=(1, 1), padding=(1, 1)) + (norm): GroupNorm(8, 128, eps=1e-05, affine=True) + (act): SiLU() + ) + (block2): Block( + (proj): WeightStandardizedConv2d(128, 128, kernel_size=(3, 3), stride=(1, 1), padding=(1, 1)) + (norm): GroupNorm(8, 128, eps=1e-05, affine=True) + (act): SiLU() + ) + (res_conv): Conv2d(256, 128, kernel_size=(1, 1), stride=(1, 1)) + ) + (1): ResnetBlock( + (mlp): Sequential( + (0): SiLU() + (1): Linear(in_features=512, out_features=256, bias=True) + ) + (block1): Block( + (proj): WeightStandardizedConv2d(256, 128, kernel_size=(3, 3), stride=(1, 1), padding=(1, 1)) + (norm): GroupNorm(8, 128, eps=1e-05, affine=True) + (act): SiLU() + ) + (block2): Block( + (proj): WeightStandardizedConv2d(128, 128, kernel_size=(3, 3), stride=(1, 1), padding=(1, 1)) + (norm): GroupNorm(8, 128, eps=1e-05, affine=True) + (act): SiLU() + ) + (res_conv): Conv2d(256, 128, kernel_size=(1, 1), stride=(1, 1)) + ) + (2): Residual( + (fn): PreNorm( + (fn): LinearAttention( + (to_qkv): Conv2d(128, 384, kernel_size=(1, 1), stride=(1, 1), bias=False) + (to_out): Sequential( + (0): Conv2d(128, 128, kernel_size=(1, 1), stride=(1, 1)) + (1): LayerNorm() + ) + ) + (norm): LayerNorm() + ) + ) + (3): Sequential( + (0): Upsample(scale_factor=2.0, mode=nearest) + (1): Conv2d(128, 128, kernel_size=(3, 3), stride=(1, 1), padding=(1, 1)) + ) + ) + (2): ModuleList( + (0): ResnetBlock( + (mlp): Sequential( + (0): SiLU() + (1): Linear(in_features=512, out_features=256, bias=True) + ) + (block1): Block( + (proj): WeightStandardizedConv2d(256, 128, kernel_size=(3, 3), stride=(1, 1), padding=(1, 1)) + (norm): GroupNorm(8, 128, eps=1e-05, affine=True) + (act): SiLU() + ) + (block2): Block( + (proj): WeightStandardizedConv2d(128, 128, kernel_size=(3, 3), stride=(1, 1), padding=(1, 1)) + (norm): GroupNorm(8, 128, eps=1e-05, affine=True) + (act): SiLU() + ) + (res_conv): Conv2d(256, 128, kernel_size=(1, 1), stride=(1, 1)) + ) + (1): ResnetBlock( + (mlp): Sequential( + (0): SiLU() + (1): Linear(in_features=512, out_features=256, bias=True) + ) + (block1): Block( + (proj): WeightStandardizedConv2d(256, 128, kernel_size=(3, 3), stride=(1, 1), padding=(1, 1)) + (norm): GroupNorm(8, 128, eps=1e-05, affine=True) + (act): SiLU() + ) + (block2): Block( + (proj): WeightStandardizedConv2d(128, 128, kernel_size=(3, 3), stride=(1, 1), padding=(1, 1)) + (norm): GroupNorm(8, 128, eps=1e-05, affine=True) + (act): SiLU() + ) + (res_conv): Conv2d(256, 128, kernel_size=(1, 1), stride=(1, 1)) + ) + (2): Residual( + (fn): PreNorm( + (fn): LinearAttention( + (to_qkv): Conv2d(128, 384, kernel_size=(1, 1), stride=(1, 1), bias=False) + (to_out): Sequential( + (0): Conv2d(128, 128, kernel_size=(1, 1), stride=(1, 1)) + (1): LayerNorm() + ) + ) + (norm): LayerNorm() + ) + ) + (3): Conv2d(128, 128, kernel_size=(3, 3), stride=(1, 1), padding=(1, 1)) + ) + ) + (mid_block1): ResnetBlock( + (mlp): Sequential( + (0): SiLU() + (1): Linear(in_features=512, out_features=256, bias=True) + ) + (block1): Block( + (proj): WeightStandardizedConv2d(128, 128, kernel_size=(3, 3), stride=(1, 1), padding=(1, 1)) + (norm): GroupNorm(8, 128, eps=1e-05, affine=True) + (act): SiLU() + ) + (block2): Block( + (proj): WeightStandardizedConv2d(128, 128, kernel_size=(3, 3), stride=(1, 1), padding=(1, 1)) + (norm): GroupNorm(8, 128, eps=1e-05, affine=True) + (act): SiLU() + ) + (res_conv): Identity() + ) + (mid_attn): Residual( + (fn): PreNorm( + (fn): Attention( + (to_qkv): Conv2d(128, 384, kernel_size=(1, 1), stride=(1, 1), bias=False) + (to_out): Conv2d(128, 128, kernel_size=(1, 1), stride=(1, 1)) + ) + (norm): LayerNorm() + ) + ) + (mid_block2): ResnetBlock( + (mlp): Sequential( + (0): SiLU() + (1): Linear(in_features=512, out_features=256, bias=True) + ) + (block1): Block( + (proj): WeightStandardizedConv2d(128, 128, kernel_size=(3, 3), stride=(1, 1), padding=(1, 1)) + (norm): GroupNorm(8, 128, eps=1e-05, affine=True) + (act): SiLU() + ) + (block2): Block( + (proj): WeightStandardizedConv2d(128, 128, kernel_size=(3, 3), stride=(1, 1), padding=(1, 1)) + (norm): GroupNorm(8, 128, eps=1e-05, affine=True) + (act): SiLU() + ) + (res_conv): Identity() + ) + (final_res_block): ResnetBlock( + (mlp): Sequential( + (0): SiLU() + (1): Linear(in_features=512, out_features=256, bias=True) + ) + (block1): Block( + (proj): WeightStandardizedConv2d(256, 128, kernel_size=(3, 3), stride=(1, 1), padding=(1, 1)) + (norm): GroupNorm(8, 128, eps=1e-05, affine=True) + (act): SiLU() + ) + (block2): Block( + (proj): WeightStandardizedConv2d(128, 128, kernel_size=(3, 3), stride=(1, 1), padding=(1, 1)) + (norm): GroupNorm(8, 128, eps=1e-05, affine=True) + (act): SiLU() + ) + (res_conv): Conv2d(256, 128, kernel_size=(1, 1), stride=(1, 1)) + ) + (final_conv): Conv2d(128, 256, kernel_size=(1, 1), stride=(1, 1)) + ) + (conv_seg_new): Conv2d(256, 151, kernel_size=(1, 1), stride=(1, 1)) + (embed): Embedding(151, 16) + ) + init_cfg={'type': 'Pretrained', 'checkpoint': 'work_dirs2/segformer_mit_b2_segformer_head_unet_fc_single_step_ade_pretrained_freeze_embed_80k_ade20k151/best_mIoU_iter_64000.pth'} +) +2023-03-04 01:10:54,456 - mmseg - INFO - Loaded 20210 images +2023-03-04 01:10:58,375 - mmseg - INFO - Loaded 2000 images +2023-03-04 01:10:58,378 - mmseg - INFO - Start running, host: laizeqiang@SH-IDC1-10-140-37-125, work_dir: /mnt/petrelfs/laizeqiang/mmseg-baseline/work_dirs2/ablation_segformer_mit_b2_segformer_head_unet_fc_small_multi_step_ade_pretrained_freeze_embed_160k_ade20k151_finetune_ema_t20 +2023-03-04 01:10:58,378 - mmseg - INFO - Hooks will be executed in the following order: +before_run: +(VERY_HIGH ) StepLrUpdaterHook +(49 ) ConstantMomentumEMAHook +(NORMAL ) CheckpointHook +(LOW ) DistEvalHookMultiSteps +(VERY_LOW ) TextLoggerHook + -------------------- +before_train_epoch: +(VERY_HIGH ) StepLrUpdaterHook +(LOW ) IterTimerHook +(LOW ) DistEvalHookMultiSteps +(VERY_LOW ) TextLoggerHook + -------------------- +before_train_iter: +(VERY_HIGH ) StepLrUpdaterHook +(49 ) ConstantMomentumEMAHook +(LOW ) IterTimerHook +(LOW ) DistEvalHookMultiSteps + -------------------- +after_train_iter: +(ABOVE_NORMAL) OptimizerHook +(49 ) ConstantMomentumEMAHook +(NORMAL ) CheckpointHook +(LOW ) IterTimerHook +(LOW ) DistEvalHookMultiSteps +(VERY_LOW ) TextLoggerHook + -------------------- +after_train_epoch: +(NORMAL ) CheckpointHook +(LOW ) DistEvalHookMultiSteps +(VERY_LOW ) TextLoggerHook + -------------------- +before_val_epoch: +(LOW ) IterTimerHook +(VERY_LOW ) TextLoggerHook + -------------------- +before_val_iter: +(LOW ) IterTimerHook + -------------------- +after_val_iter: +(LOW ) IterTimerHook + -------------------- +after_val_epoch: +(VERY_LOW ) TextLoggerHook + -------------------- +after_run: +(VERY_LOW ) TextLoggerHook + -------------------- +2023-03-04 01:10:58,378 - mmseg - INFO - workflow: [('train', 1)], max: 160000 iters +2023-03-04 01:10:58,422 - mmseg - INFO - Checkpoints will be saved to /mnt/petrelfs/laizeqiang/mmseg-baseline/work_dirs2/ablation_segformer_mit_b2_segformer_head_unet_fc_small_multi_step_ade_pretrained_freeze_embed_160k_ade20k151_finetune_ema_t20 by HardDiskBackend. +2023-03-04 01:11:22,313 - mmseg - INFO - Swap parameters (before train) before iter [1] +2023-03-04 01:11:38,628 - mmseg - INFO - Iter [50/160000] lr: 7.350e-06, eta: 14:49:07, time: 0.334, data_time: 0.014, memory: 19921, decode.loss_ce: 0.2039, decode.acc_seg: 91.6277, loss: 0.2039 +2023-03-04 01:11:48,536 - mmseg - INFO - Iter [100/160000] lr: 1.485e-05, eta: 11:48:25, time: 0.198, data_time: 0.007, memory: 19921, decode.loss_ce: 0.1905, decode.acc_seg: 92.0760, loss: 0.1905 +2023-03-04 01:11:59,321 - mmseg - INFO - Iter [150/160000] lr: 2.235e-05, eta: 11:03:29, time: 0.215, data_time: 0.007, memory: 19921, decode.loss_ce: 0.1946, decode.acc_seg: 91.9033, loss: 0.1946 +2023-03-04 01:12:09,162 - mmseg - INFO - Iter [200/160000] lr: 2.985e-05, eta: 10:28:36, time: 0.197, data_time: 0.007, memory: 19921, decode.loss_ce: 0.2013, decode.acc_seg: 91.7169, loss: 0.2013 +2023-03-04 01:12:18,919 - mmseg - INFO - Iter [250/160000] lr: 3.735e-05, eta: 10:06:38, time: 0.195, data_time: 0.006, memory: 19921, decode.loss_ce: 0.2095, decode.acc_seg: 91.3096, loss: 0.2095 +2023-03-04 01:12:28,447 - mmseg - INFO - Iter [300/160000] lr: 4.485e-05, eta: 9:49:53, time: 0.191, data_time: 0.006, memory: 19921, decode.loss_ce: 0.2011, decode.acc_seg: 91.7360, loss: 0.2011 +2023-03-04 01:12:38,333 - mmseg - INFO - Iter [350/160000] lr: 5.235e-05, eta: 9:40:38, time: 0.198, data_time: 0.007, memory: 19921, decode.loss_ce: 0.2043, decode.acc_seg: 91.7485, loss: 0.2043 +2023-03-04 01:12:47,905 - mmseg - INFO - Iter [400/160000] lr: 5.985e-05, eta: 9:31:33, time: 0.191, data_time: 0.006, memory: 19921, decode.loss_ce: 0.1970, decode.acc_seg: 91.7587, loss: 0.1970 +2023-03-04 01:12:57,441 - mmseg - INFO - Iter [450/160000] lr: 6.735e-05, eta: 9:24:14, time: 0.191, data_time: 0.006, memory: 19921, decode.loss_ce: 0.2033, decode.acc_seg: 91.6254, loss: 0.2033 +2023-03-04 01:13:07,294 - mmseg - INFO - Iter [500/160000] lr: 7.485e-05, eta: 9:20:02, time: 0.197, data_time: 0.007, memory: 19921, decode.loss_ce: 0.2071, decode.acc_seg: 91.4852, loss: 0.2071 +2023-03-04 01:13:16,795 - mmseg - INFO - Iter [550/160000] lr: 8.235e-05, eta: 9:14:52, time: 0.190, data_time: 0.006, memory: 19921, decode.loss_ce: 0.2035, decode.acc_seg: 91.6952, loss: 0.2035 +2023-03-04 01:13:26,917 - mmseg - INFO - Iter [600/160000] lr: 8.985e-05, eta: 9:13:14, time: 0.202, data_time: 0.007, memory: 19921, decode.loss_ce: 0.2140, decode.acc_seg: 91.2724, loss: 0.2140 +2023-03-04 01:13:39,199 - mmseg - INFO - Iter [650/160000] lr: 9.735e-05, eta: 9:20:41, time: 0.246, data_time: 0.055, memory: 19921, decode.loss_ce: 0.2112, decode.acc_seg: 91.3521, loss: 0.2112 +2023-03-04 01:13:48,859 - mmseg - INFO - Iter [700/160000] lr: 1.049e-04, eta: 9:17:10, time: 0.193, data_time: 0.007, memory: 19921, decode.loss_ce: 0.2061, decode.acc_seg: 91.5714, loss: 0.2061 +2023-03-04 01:13:58,343 - mmseg - INFO - Iter [750/160000] lr: 1.124e-04, eta: 9:13:25, time: 0.190, data_time: 0.006, memory: 19921, decode.loss_ce: 0.2157, decode.acc_seg: 91.2489, loss: 0.2157 +2023-03-04 01:14:08,082 - mmseg - INFO - Iter [800/160000] lr: 1.199e-04, eta: 9:10:58, time: 0.195, data_time: 0.007, memory: 19921, decode.loss_ce: 0.2055, decode.acc_seg: 91.6176, loss: 0.2055 +2023-03-04 01:14:17,731 - mmseg - INFO - Iter [850/160000] lr: 1.274e-04, eta: 9:08:30, time: 0.193, data_time: 0.007, memory: 19921, decode.loss_ce: 0.2099, decode.acc_seg: 91.4005, loss: 0.2099 +2023-03-04 01:14:27,356 - mmseg - INFO - Iter [900/160000] lr: 1.349e-04, eta: 9:06:13, time: 0.192, data_time: 0.007, memory: 19921, decode.loss_ce: 0.2276, decode.acc_seg: 90.7362, loss: 0.2276 +2023-03-04 01:14:37,148 - mmseg - INFO - Iter [950/160000] lr: 1.424e-04, eta: 9:04:38, time: 0.196, data_time: 0.007, memory: 19921, decode.loss_ce: 0.2110, decode.acc_seg: 91.4937, loss: 0.2110 +2023-03-04 01:14:46,817 - mmseg - INFO - Exp name: ablation_segformer_mit_b2_segformer_head_unet_fc_small_multi_step_ade_pretrained_freeze_embed_160k_ade20k151_finetune_ema_t20.py +2023-03-04 01:14:46,818 - mmseg - INFO - Iter [1000/160000] lr: 1.499e-04, eta: 9:02:52, time: 0.193, data_time: 0.007, memory: 19921, decode.loss_ce: 0.2065, decode.acc_seg: 91.4428, loss: 0.2065 +2023-03-04 01:14:56,664 - mmseg - INFO - Iter [1050/160000] lr: 1.500e-04, eta: 9:01:40, time: 0.197, data_time: 0.007, memory: 19921, decode.loss_ce: 0.2188, decode.acc_seg: 91.1828, loss: 0.2188 +2023-03-04 01:15:06,491 - mmseg - INFO - Iter [1100/160000] lr: 1.500e-04, eta: 9:00:34, time: 0.197, data_time: 0.007, memory: 19921, decode.loss_ce: 0.2181, decode.acc_seg: 91.1270, loss: 0.2181 +2023-03-04 01:15:16,217 - mmseg - INFO - Iter [1150/160000] lr: 1.500e-04, eta: 8:59:17, time: 0.194, data_time: 0.007, memory: 19921, decode.loss_ce: 0.2113, decode.acc_seg: 91.3410, loss: 0.2113 +2023-03-04 01:15:25,976 - mmseg - INFO - Iter [1200/160000] lr: 1.500e-04, eta: 8:58:11, time: 0.195, data_time: 0.007, memory: 19921, decode.loss_ce: 0.2169, decode.acc_seg: 91.0252, loss: 0.2169 +2023-03-04 01:15:35,524 - mmseg - INFO - Iter [1250/160000] lr: 1.500e-04, eta: 8:56:42, time: 0.191, data_time: 0.007, memory: 19921, decode.loss_ce: 0.2243, decode.acc_seg: 90.8999, loss: 0.2243 +2023-03-04 01:15:48,010 - mmseg - INFO - Iter [1300/160000] lr: 1.500e-04, eta: 9:01:16, time: 0.249, data_time: 0.057, memory: 19921, decode.loss_ce: 0.2279, decode.acc_seg: 90.8451, loss: 0.2279 +2023-03-04 01:15:57,744 - mmseg - INFO - Iter [1350/160000] lr: 1.500e-04, eta: 9:00:09, time: 0.195, data_time: 0.007, memory: 19921, decode.loss_ce: 0.2135, decode.acc_seg: 91.3953, loss: 0.2135 +2023-03-04 01:16:07,452 - mmseg - INFO - Iter [1400/160000] lr: 1.500e-04, eta: 8:59:01, time: 0.194, data_time: 0.007, memory: 19921, decode.loss_ce: 0.2172, decode.acc_seg: 91.1060, loss: 0.2172 +2023-03-04 01:16:17,088 - mmseg - INFO - Iter [1450/160000] lr: 1.500e-04, eta: 8:57:50, time: 0.193, data_time: 0.007, memory: 19921, decode.loss_ce: 0.2156, decode.acc_seg: 91.1542, loss: 0.2156 +2023-03-04 01:16:26,950 - mmseg - INFO - Iter [1500/160000] lr: 1.500e-04, eta: 8:57:06, time: 0.197, data_time: 0.007, memory: 19921, decode.loss_ce: 0.2157, decode.acc_seg: 91.1485, loss: 0.2157 +2023-03-04 01:16:36,636 - mmseg - INFO - Iter [1550/160000] lr: 1.500e-04, eta: 8:56:07, time: 0.194, data_time: 0.007, memory: 19921, decode.loss_ce: 0.2304, decode.acc_seg: 90.6930, loss: 0.2304 +2023-03-04 01:16:46,172 - mmseg - INFO - Iter [1600/160000] lr: 1.500e-04, eta: 8:54:56, time: 0.191, data_time: 0.007, memory: 19921, decode.loss_ce: 0.2187, decode.acc_seg: 91.0563, loss: 0.2187 +2023-03-04 01:16:55,936 - mmseg - INFO - Iter [1650/160000] lr: 1.500e-04, eta: 8:54:09, time: 0.195, data_time: 0.007, memory: 19921, decode.loss_ce: 0.2147, decode.acc_seg: 91.3253, loss: 0.2147 +2023-03-04 01:17:05,637 - mmseg - INFO - Iter [1700/160000] lr: 1.500e-04, eta: 8:53:21, time: 0.194, data_time: 0.007, memory: 19921, decode.loss_ce: 0.2082, decode.acc_seg: 91.5614, loss: 0.2082 +2023-03-04 01:17:15,528 - mmseg - INFO - Iter [1750/160000] lr: 1.500e-04, eta: 8:52:52, time: 0.198, data_time: 0.007, memory: 19921, decode.loss_ce: 0.2162, decode.acc_seg: 91.1424, loss: 0.2162 +2023-03-04 01:17:25,208 - mmseg - INFO - Iter [1800/160000] lr: 1.500e-04, eta: 8:52:03, time: 0.193, data_time: 0.007, memory: 19921, decode.loss_ce: 0.2238, decode.acc_seg: 90.9089, loss: 0.2238 +2023-03-04 01:17:34,968 - mmseg - INFO - Iter [1850/160000] lr: 1.500e-04, eta: 8:51:26, time: 0.195, data_time: 0.007, memory: 19921, decode.loss_ce: 0.2163, decode.acc_seg: 90.9533, loss: 0.2163 +2023-03-04 01:17:47,189 - mmseg - INFO - Iter [1900/160000] lr: 1.500e-04, eta: 8:54:14, time: 0.244, data_time: 0.053, memory: 19921, decode.loss_ce: 0.2189, decode.acc_seg: 91.1232, loss: 0.2189 +2023-03-04 01:17:57,112 - mmseg - INFO - Iter [1950/160000] lr: 1.500e-04, eta: 8:53:46, time: 0.198, data_time: 0.007, memory: 19921, decode.loss_ce: 0.2198, decode.acc_seg: 91.0547, loss: 0.2198 +2023-03-04 01:18:06,959 - mmseg - INFO - Exp name: ablation_segformer_mit_b2_segformer_head_unet_fc_small_multi_step_ade_pretrained_freeze_embed_160k_ade20k151_finetune_ema_t20.py +2023-03-04 01:18:06,959 - mmseg - INFO - Iter [2000/160000] lr: 1.500e-04, eta: 8:53:14, time: 0.197, data_time: 0.007, memory: 19921, decode.loss_ce: 0.2192, decode.acc_seg: 90.9983, loss: 0.2192 +2023-03-04 01:18:16,545 - mmseg - INFO - Iter [2050/160000] lr: 1.500e-04, eta: 8:52:22, time: 0.192, data_time: 0.007, memory: 19921, decode.loss_ce: 0.2269, decode.acc_seg: 90.6415, loss: 0.2269 +2023-03-04 01:18:26,159 - mmseg - INFO - Iter [2100/160000] lr: 1.500e-04, eta: 8:51:34, time: 0.192, data_time: 0.007, memory: 19921, decode.loss_ce: 0.2190, decode.acc_seg: 91.0080, loss: 0.2190 +2023-03-04 01:18:35,932 - mmseg - INFO - Iter [2150/160000] lr: 1.500e-04, eta: 8:51:00, time: 0.195, data_time: 0.007, memory: 19921, decode.loss_ce: 0.2228, decode.acc_seg: 90.9228, loss: 0.2228 +2023-03-04 01:18:45,660 - mmseg - INFO - Iter [2200/160000] lr: 1.500e-04, eta: 8:50:24, time: 0.195, data_time: 0.007, memory: 19921, decode.loss_ce: 0.2186, decode.acc_seg: 91.0587, loss: 0.2186 +2023-03-04 01:18:55,322 - mmseg - INFO - Iter [2250/160000] lr: 1.500e-04, eta: 8:49:45, time: 0.193, data_time: 0.007, memory: 19921, decode.loss_ce: 0.2191, decode.acc_seg: 91.0943, loss: 0.2191 +2023-03-04 01:19:04,868 - mmseg - INFO - Iter [2300/160000] lr: 1.500e-04, eta: 8:48:58, time: 0.191, data_time: 0.007, memory: 19921, decode.loss_ce: 0.2205, decode.acc_seg: 91.0691, loss: 0.2205 +2023-03-04 01:19:14,410 - mmseg - INFO - Iter [2350/160000] lr: 1.500e-04, eta: 8:48:13, time: 0.191, data_time: 0.006, memory: 19921, decode.loss_ce: 0.2071, decode.acc_seg: 91.5825, loss: 0.2071 +2023-03-04 01:19:23,952 - mmseg - INFO - Iter [2400/160000] lr: 1.500e-04, eta: 8:47:30, time: 0.191, data_time: 0.007, memory: 19921, decode.loss_ce: 0.2167, decode.acc_seg: 91.1892, loss: 0.2167 +2023-03-04 01:19:33,466 - mmseg - INFO - Iter [2450/160000] lr: 1.500e-04, eta: 8:46:46, time: 0.190, data_time: 0.007, memory: 19921, decode.loss_ce: 0.2141, decode.acc_seg: 91.2063, loss: 0.2141 +2023-03-04 01:19:43,161 - mmseg - INFO - Iter [2500/160000] lr: 1.500e-04, eta: 8:46:15, time: 0.194, data_time: 0.007, memory: 19921, decode.loss_ce: 0.2168, decode.acc_seg: 91.1884, loss: 0.2168 +2023-03-04 01:19:55,207 - mmseg - INFO - Iter [2550/160000] lr: 1.500e-04, eta: 8:48:09, time: 0.241, data_time: 0.055, memory: 19921, decode.loss_ce: 0.2150, decode.acc_seg: 91.2726, loss: 0.2150 +2023-03-04 01:20:04,816 - mmseg - INFO - Iter [2600/160000] lr: 1.500e-04, eta: 8:47:32, time: 0.192, data_time: 0.007, memory: 19921, decode.loss_ce: 0.2343, decode.acc_seg: 90.6497, loss: 0.2343 +2023-03-04 01:20:14,466 - mmseg - INFO - Iter [2650/160000] lr: 1.500e-04, eta: 8:46:58, time: 0.193, data_time: 0.007, memory: 19921, decode.loss_ce: 0.2143, decode.acc_seg: 91.2392, loss: 0.2143 +2023-03-04 01:20:23,950 - mmseg - INFO - Iter [2700/160000] lr: 1.500e-04, eta: 8:46:15, time: 0.190, data_time: 0.007, memory: 19921, decode.loss_ce: 0.2161, decode.acc_seg: 91.3263, loss: 0.2161 +2023-03-04 01:20:34,083 - mmseg - INFO - Iter [2750/160000] lr: 1.500e-04, eta: 8:46:10, time: 0.202, data_time: 0.007, memory: 19921, decode.loss_ce: 0.2144, decode.acc_seg: 91.2543, loss: 0.2144 +2023-03-04 01:20:44,063 - mmseg - INFO - Iter [2800/160000] lr: 1.500e-04, eta: 8:45:57, time: 0.200, data_time: 0.007, memory: 19921, decode.loss_ce: 0.2161, decode.acc_seg: 91.1566, loss: 0.2161 +2023-03-04 01:20:53,637 - mmseg - INFO - Iter [2850/160000] lr: 1.500e-04, eta: 8:45:21, time: 0.191, data_time: 0.007, memory: 19921, decode.loss_ce: 0.2115, decode.acc_seg: 91.3916, loss: 0.2115 +2023-03-04 01:21:03,235 - mmseg - INFO - Iter [2900/160000] lr: 1.500e-04, eta: 8:44:48, time: 0.192, data_time: 0.007, memory: 19921, decode.loss_ce: 0.2268, decode.acc_seg: 90.9137, loss: 0.2268 +2023-03-04 01:21:12,849 - mmseg - INFO - Iter [2950/160000] lr: 1.500e-04, eta: 8:44:16, time: 0.192, data_time: 0.007, memory: 19921, decode.loss_ce: 0.2136, decode.acc_seg: 91.2325, loss: 0.2136 +2023-03-04 01:21:22,563 - mmseg - INFO - Exp name: ablation_segformer_mit_b2_segformer_head_unet_fc_small_multi_step_ade_pretrained_freeze_embed_160k_ade20k151_finetune_ema_t20.py +2023-03-04 01:21:22,564 - mmseg - INFO - Iter [3000/160000] lr: 1.500e-04, eta: 8:43:50, time: 0.194, data_time: 0.007, memory: 19921, decode.loss_ce: 0.2178, decode.acc_seg: 91.1068, loss: 0.2178 +2023-03-04 01:21:32,340 - mmseg - INFO - Iter [3050/160000] lr: 1.500e-04, eta: 8:43:28, time: 0.196, data_time: 0.007, memory: 19921, decode.loss_ce: 0.2077, decode.acc_seg: 91.4271, loss: 0.2077 +2023-03-04 01:21:41,948 - mmseg - INFO - Iter [3100/160000] lr: 1.500e-04, eta: 8:42:58, time: 0.192, data_time: 0.007, memory: 19921, decode.loss_ce: 0.2249, decode.acc_seg: 91.0064, loss: 0.2249 +2023-03-04 01:21:51,570 - mmseg - INFO - Iter [3150/160000] lr: 1.500e-04, eta: 8:42:29, time: 0.192, data_time: 0.007, memory: 19921, decode.loss_ce: 0.2266, decode.acc_seg: 90.8415, loss: 0.2266 +2023-03-04 01:22:03,854 - mmseg - INFO - Iter [3200/160000] lr: 1.500e-04, eta: 8:44:12, time: 0.246, data_time: 0.054, memory: 19921, decode.loss_ce: 0.2140, decode.acc_seg: 91.2635, loss: 0.2140 +2023-03-04 01:22:13,846 - mmseg - INFO - Iter [3250/160000] lr: 1.500e-04, eta: 8:43:59, time: 0.200, data_time: 0.007, memory: 19921, decode.loss_ce: 0.2110, decode.acc_seg: 91.4291, loss: 0.2110 +2023-03-04 01:22:23,356 - mmseg - INFO - Iter [3300/160000] lr: 1.500e-04, eta: 8:43:25, time: 0.190, data_time: 0.007, memory: 19921, decode.loss_ce: 0.2203, decode.acc_seg: 91.2295, loss: 0.2203 +2023-03-04 01:22:32,845 - mmseg - INFO - Iter [3350/160000] lr: 1.500e-04, eta: 8:42:50, time: 0.190, data_time: 0.007, memory: 19921, decode.loss_ce: 0.2224, decode.acc_seg: 90.8785, loss: 0.2224 +2023-03-04 01:22:42,770 - mmseg - INFO - Iter [3400/160000] lr: 1.500e-04, eta: 8:42:36, time: 0.199, data_time: 0.007, memory: 19921, decode.loss_ce: 0.2163, decode.acc_seg: 91.0673, loss: 0.2163 +2023-03-04 01:22:52,335 - mmseg - INFO - Iter [3450/160000] lr: 1.500e-04, eta: 8:42:06, time: 0.191, data_time: 0.007, memory: 19921, decode.loss_ce: 0.2283, decode.acc_seg: 90.5869, loss: 0.2283 +2023-03-04 01:23:01,857 - mmseg - INFO - Iter [3500/160000] lr: 1.500e-04, eta: 8:41:34, time: 0.190, data_time: 0.007, memory: 19921, decode.loss_ce: 0.2167, decode.acc_seg: 91.2130, loss: 0.2167 +2023-03-04 01:23:11,552 - mmseg - INFO - Iter [3550/160000] lr: 1.500e-04, eta: 8:41:11, time: 0.194, data_time: 0.007, memory: 19921, decode.loss_ce: 0.2267, decode.acc_seg: 90.8180, loss: 0.2267 +2023-03-04 01:23:21,334 - mmseg - INFO - Iter [3600/160000] lr: 1.500e-04, eta: 8:40:52, time: 0.196, data_time: 0.007, memory: 19921, decode.loss_ce: 0.2325, decode.acc_seg: 90.6444, loss: 0.2325 +2023-03-04 01:23:31,174 - mmseg - INFO - Iter [3650/160000] lr: 1.500e-04, eta: 8:40:35, time: 0.197, data_time: 0.007, memory: 19921, decode.loss_ce: 0.2173, decode.acc_seg: 91.1208, loss: 0.2173 +2023-03-04 01:23:40,913 - mmseg - INFO - Iter [3700/160000] lr: 1.500e-04, eta: 8:40:15, time: 0.195, data_time: 0.007, memory: 19921, decode.loss_ce: 0.2247, decode.acc_seg: 90.8954, loss: 0.2247 +2023-03-04 01:23:50,899 - mmseg - INFO - Iter [3750/160000] lr: 1.500e-04, eta: 8:40:04, time: 0.199, data_time: 0.007, memory: 19921, decode.loss_ce: 0.2087, decode.acc_seg: 91.3521, loss: 0.2087 +2023-03-04 01:24:03,641 - mmseg - INFO - Iter [3800/160000] lr: 1.500e-04, eta: 8:41:48, time: 0.255, data_time: 0.052, memory: 19921, decode.loss_ce: 0.2276, decode.acc_seg: 90.8844, loss: 0.2276 +2023-03-04 01:24:13,146 - mmseg - INFO - Iter [3850/160000] lr: 1.500e-04, eta: 8:41:17, time: 0.190, data_time: 0.006, memory: 19921, decode.loss_ce: 0.2147, decode.acc_seg: 91.1761, loss: 0.2147 +2023-03-04 01:24:22,775 - mmseg - INFO - Iter [3900/160000] lr: 1.500e-04, eta: 8:40:51, time: 0.193, data_time: 0.006, memory: 19921, decode.loss_ce: 0.2132, decode.acc_seg: 91.2474, loss: 0.2132 +2023-03-04 01:24:32,218 - mmseg - INFO - Iter [3950/160000] lr: 1.500e-04, eta: 8:40:19, time: 0.189, data_time: 0.007, memory: 19921, decode.loss_ce: 0.2074, decode.acc_seg: 91.5369, loss: 0.2074 +2023-03-04 01:24:41,803 - mmseg - INFO - Exp name: ablation_segformer_mit_b2_segformer_head_unet_fc_small_multi_step_ade_pretrained_freeze_embed_160k_ade20k151_finetune_ema_t20.py +2023-03-04 01:24:41,803 - mmseg - INFO - Iter [4000/160000] lr: 1.500e-04, eta: 8:39:53, time: 0.192, data_time: 0.007, memory: 19921, decode.loss_ce: 0.2094, decode.acc_seg: 91.4096, loss: 0.2094 +2023-03-04 01:24:51,310 - mmseg - INFO - Iter [4050/160000] lr: 1.500e-04, eta: 8:39:23, time: 0.190, data_time: 0.007, memory: 19921, decode.loss_ce: 0.2187, decode.acc_seg: 91.0406, loss: 0.2187 +2023-03-04 01:25:01,132 - mmseg - INFO - Iter [4100/160000] lr: 1.500e-04, eta: 8:39:07, time: 0.196, data_time: 0.007, memory: 19921, decode.loss_ce: 0.2157, decode.acc_seg: 91.2160, loss: 0.2157 +2023-03-04 01:25:10,589 - mmseg - INFO - Iter [4150/160000] lr: 1.500e-04, eta: 8:38:37, time: 0.189, data_time: 0.007, memory: 19921, decode.loss_ce: 0.2186, decode.acc_seg: 91.0784, loss: 0.2186 +2023-03-04 01:25:20,139 - mmseg - INFO - Iter [4200/160000] lr: 1.500e-04, eta: 8:38:11, time: 0.191, data_time: 0.007, memory: 19921, decode.loss_ce: 0.2134, decode.acc_seg: 91.2382, loss: 0.2134 +2023-03-04 01:25:29,867 - mmseg - INFO - Iter [4250/160000] lr: 1.500e-04, eta: 8:37:52, time: 0.195, data_time: 0.007, memory: 19921, decode.loss_ce: 0.2197, decode.acc_seg: 91.0481, loss: 0.2197 +2023-03-04 01:25:39,674 - mmseg - INFO - Iter [4300/160000] lr: 1.500e-04, eta: 8:37:36, time: 0.196, data_time: 0.007, memory: 19921, decode.loss_ce: 0.2159, decode.acc_seg: 91.2948, loss: 0.2159 +2023-03-04 01:25:49,353 - mmseg - INFO - Iter [4350/160000] lr: 1.500e-04, eta: 8:37:15, time: 0.194, data_time: 0.007, memory: 19921, decode.loss_ce: 0.2224, decode.acc_seg: 91.0524, loss: 0.2224 +2023-03-04 01:25:58,848 - mmseg - INFO - Iter [4400/160000] lr: 1.500e-04, eta: 8:36:49, time: 0.190, data_time: 0.007, memory: 19921, decode.loss_ce: 0.2248, decode.acc_seg: 90.9255, loss: 0.2248 +2023-03-04 01:26:11,058 - mmseg - INFO - Iter [4450/160000] lr: 1.500e-04, eta: 8:37:57, time: 0.244, data_time: 0.056, memory: 19921, decode.loss_ce: 0.2081, decode.acc_seg: 91.3507, loss: 0.2081 +2023-03-04 01:26:20,550 - mmseg - INFO - Iter [4500/160000] lr: 1.500e-04, eta: 8:37:30, time: 0.190, data_time: 0.007, memory: 19921, decode.loss_ce: 0.2160, decode.acc_seg: 91.2831, loss: 0.2160 +2023-03-04 01:26:30,199 - mmseg - INFO - Iter [4550/160000] lr: 1.500e-04, eta: 8:37:09, time: 0.193, data_time: 0.007, memory: 19921, decode.loss_ce: 0.2186, decode.acc_seg: 91.0556, loss: 0.2186 +2023-03-04 01:26:39,715 - mmseg - INFO - Iter [4600/160000] lr: 1.500e-04, eta: 8:36:43, time: 0.190, data_time: 0.007, memory: 19921, decode.loss_ce: 0.2106, decode.acc_seg: 91.2619, loss: 0.2106 +2023-03-04 01:26:49,589 - mmseg - INFO - Iter [4650/160000] lr: 1.500e-04, eta: 8:36:30, time: 0.197, data_time: 0.007, memory: 19921, decode.loss_ce: 0.2082, decode.acc_seg: 91.6103, loss: 0.2082 +2023-03-04 01:26:59,151 - mmseg - INFO - Iter [4700/160000] lr: 1.500e-04, eta: 8:36:06, time: 0.191, data_time: 0.007, memory: 19921, decode.loss_ce: 0.2103, decode.acc_seg: 91.4108, loss: 0.2103 +2023-03-04 01:27:08,890 - mmseg - INFO - Iter [4750/160000] lr: 1.500e-04, eta: 8:35:48, time: 0.195, data_time: 0.007, memory: 19921, decode.loss_ce: 0.2193, decode.acc_seg: 90.9978, loss: 0.2193 +2023-03-04 01:27:18,439 - mmseg - INFO - Iter [4800/160000] lr: 1.500e-04, eta: 8:35:25, time: 0.191, data_time: 0.007, memory: 19921, decode.loss_ce: 0.2295, decode.acc_seg: 90.7477, loss: 0.2295 +2023-03-04 01:27:28,154 - mmseg - INFO - Iter [4850/160000] lr: 1.500e-04, eta: 8:35:07, time: 0.194, data_time: 0.007, memory: 19921, decode.loss_ce: 0.2202, decode.acc_seg: 91.0108, loss: 0.2202 +2023-03-04 01:27:37,696 - mmseg - INFO - Iter [4900/160000] lr: 1.500e-04, eta: 8:34:43, time: 0.191, data_time: 0.007, memory: 19921, decode.loss_ce: 0.2130, decode.acc_seg: 91.3105, loss: 0.2130 +2023-03-04 01:27:47,302 - mmseg - INFO - Iter [4950/160000] lr: 1.500e-04, eta: 8:34:23, time: 0.192, data_time: 0.007, memory: 19921, decode.loss_ce: 0.2210, decode.acc_seg: 91.1059, loss: 0.2210 +2023-03-04 01:27:57,107 - mmseg - INFO - Exp name: ablation_segformer_mit_b2_segformer_head_unet_fc_small_multi_step_ade_pretrained_freeze_embed_160k_ade20k151_finetune_ema_t20.py +2023-03-04 01:27:57,108 - mmseg - INFO - Iter [5000/160000] lr: 1.500e-04, eta: 8:34:08, time: 0.196, data_time: 0.007, memory: 19921, decode.loss_ce: 0.2078, decode.acc_seg: 91.3358, loss: 0.2078 +2023-03-04 01:28:09,392 - mmseg - INFO - Iter [5050/160000] lr: 1.500e-04, eta: 8:35:10, time: 0.245, data_time: 0.054, memory: 19921, decode.loss_ce: 0.2255, decode.acc_seg: 90.9678, loss: 0.2255 +2023-03-04 01:28:19,203 - mmseg - INFO - Iter [5100/160000] lr: 1.500e-04, eta: 8:34:55, time: 0.196, data_time: 0.007, memory: 19921, decode.loss_ce: 0.2117, decode.acc_seg: 91.3476, loss: 0.2117 +2023-03-04 01:28:29,025 - mmseg - INFO - Iter [5150/160000] lr: 1.500e-04, eta: 8:34:40, time: 0.196, data_time: 0.007, memory: 19921, decode.loss_ce: 0.2240, decode.acc_seg: 91.0256, loss: 0.2240 +2023-03-04 01:28:38,494 - mmseg - INFO - Iter [5200/160000] lr: 1.500e-04, eta: 8:34:16, time: 0.189, data_time: 0.007, memory: 19921, decode.loss_ce: 0.2183, decode.acc_seg: 91.1070, loss: 0.2183 +2023-03-04 01:28:47,994 - mmseg - INFO - Iter [5250/160000] lr: 1.500e-04, eta: 8:33:52, time: 0.190, data_time: 0.007, memory: 19921, decode.loss_ce: 0.2177, decode.acc_seg: 91.1550, loss: 0.2177 +2023-03-04 01:28:57,647 - mmseg - INFO - Iter [5300/160000] lr: 1.500e-04, eta: 8:33:33, time: 0.193, data_time: 0.007, memory: 19921, decode.loss_ce: 0.2148, decode.acc_seg: 91.1735, loss: 0.2148 +2023-03-04 01:29:07,253 - mmseg - INFO - Iter [5350/160000] lr: 1.500e-04, eta: 8:33:13, time: 0.192, data_time: 0.007, memory: 19921, decode.loss_ce: 0.2250, decode.acc_seg: 90.9738, loss: 0.2250 +2023-03-04 01:29:16,765 - mmseg - INFO - Iter [5400/160000] lr: 1.500e-04, eta: 8:32:50, time: 0.190, data_time: 0.007, memory: 19921, decode.loss_ce: 0.2241, decode.acc_seg: 90.9154, loss: 0.2241 +2023-03-04 01:29:26,460 - mmseg - INFO - Iter [5450/160000] lr: 1.500e-04, eta: 8:32:33, time: 0.194, data_time: 0.007, memory: 19921, decode.loss_ce: 0.2161, decode.acc_seg: 91.0971, loss: 0.2161 +2023-03-04 01:29:36,173 - mmseg - INFO - Iter [5500/160000] lr: 1.500e-04, eta: 8:32:16, time: 0.194, data_time: 0.006, memory: 19921, decode.loss_ce: 0.2282, decode.acc_seg: 90.7611, loss: 0.2282 +2023-03-04 01:29:45,857 - mmseg - INFO - Iter [5550/160000] lr: 1.500e-04, eta: 8:31:59, time: 0.194, data_time: 0.007, memory: 19921, decode.loss_ce: 0.2213, decode.acc_seg: 91.0075, loss: 0.2213 +2023-03-04 01:29:55,425 - mmseg - INFO - Iter [5600/160000] lr: 1.500e-04, eta: 8:31:39, time: 0.191, data_time: 0.007, memory: 19921, decode.loss_ce: 0.2089, decode.acc_seg: 91.5687, loss: 0.2089 +2023-03-04 01:30:05,165 - mmseg - INFO - Iter [5650/160000] lr: 1.500e-04, eta: 8:31:23, time: 0.195, data_time: 0.007, memory: 19921, decode.loss_ce: 0.2188, decode.acc_seg: 91.2361, loss: 0.2188 +2023-03-04 01:30:18,236 - mmseg - INFO - Iter [5700/160000] lr: 1.500e-04, eta: 8:32:38, time: 0.261, data_time: 0.056, memory: 19921, decode.loss_ce: 0.2084, decode.acc_seg: 91.4760, loss: 0.2084 +2023-03-04 01:30:27,847 - mmseg - INFO - Iter [5750/160000] lr: 1.500e-04, eta: 8:32:18, time: 0.192, data_time: 0.007, memory: 19921, decode.loss_ce: 0.2159, decode.acc_seg: 91.1528, loss: 0.2159 +2023-03-04 01:30:37,547 - mmseg - INFO - Iter [5800/160000] lr: 1.500e-04, eta: 8:32:01, time: 0.194, data_time: 0.007, memory: 19921, decode.loss_ce: 0.2116, decode.acc_seg: 91.2517, loss: 0.2116 +2023-03-04 01:30:47,234 - mmseg - INFO - Iter [5850/160000] lr: 1.500e-04, eta: 8:31:44, time: 0.194, data_time: 0.007, memory: 19921, decode.loss_ce: 0.2105, decode.acc_seg: 91.4240, loss: 0.2105 +2023-03-04 01:30:56,803 - mmseg - INFO - Iter [5900/160000] lr: 1.500e-04, eta: 8:31:24, time: 0.191, data_time: 0.007, memory: 19921, decode.loss_ce: 0.2227, decode.acc_seg: 90.8611, loss: 0.2227 +2023-03-04 01:31:06,364 - mmseg - INFO - Iter [5950/160000] lr: 1.500e-04, eta: 8:31:04, time: 0.191, data_time: 0.007, memory: 19921, decode.loss_ce: 0.2221, decode.acc_seg: 90.9057, loss: 0.2221 +2023-03-04 01:31:15,994 - mmseg - INFO - Exp name: ablation_segformer_mit_b2_segformer_head_unet_fc_small_multi_step_ade_pretrained_freeze_embed_160k_ade20k151_finetune_ema_t20.py +2023-03-04 01:31:15,994 - mmseg - INFO - Iter [6000/160000] lr: 1.500e-04, eta: 8:30:46, time: 0.193, data_time: 0.007, memory: 19921, decode.loss_ce: 0.2154, decode.acc_seg: 91.3249, loss: 0.2154 +2023-03-04 01:31:25,581 - mmseg - INFO - Iter [6050/160000] lr: 1.500e-04, eta: 8:30:26, time: 0.192, data_time: 0.007, memory: 19921, decode.loss_ce: 0.2207, decode.acc_seg: 91.2070, loss: 0.2207 +2023-03-04 01:31:35,166 - mmseg - INFO - Iter [6100/160000] lr: 1.500e-04, eta: 8:30:07, time: 0.192, data_time: 0.006, memory: 19921, decode.loss_ce: 0.2131, decode.acc_seg: 91.3695, loss: 0.2131 +2023-03-04 01:31:44,780 - mmseg - INFO - Iter [6150/160000] lr: 1.500e-04, eta: 8:29:49, time: 0.192, data_time: 0.007, memory: 19921, decode.loss_ce: 0.2099, decode.acc_seg: 91.5660, loss: 0.2099 +2023-03-04 01:31:54,324 - mmseg - INFO - Iter [6200/160000] lr: 1.500e-04, eta: 8:29:29, time: 0.191, data_time: 0.007, memory: 19921, decode.loss_ce: 0.2203, decode.acc_seg: 91.1112, loss: 0.2203 +2023-03-04 01:32:03,972 - mmseg - INFO - Iter [6250/160000] lr: 1.500e-04, eta: 8:29:12, time: 0.193, data_time: 0.007, memory: 19921, decode.loss_ce: 0.2134, decode.acc_seg: 91.4042, loss: 0.2134 +2023-03-04 01:32:13,577 - mmseg - INFO - Iter [6300/160000] lr: 1.500e-04, eta: 8:28:54, time: 0.192, data_time: 0.007, memory: 19921, decode.loss_ce: 0.2232, decode.acc_seg: 91.0270, loss: 0.2232 +2023-03-04 01:32:25,517 - mmseg - INFO - Iter [6350/160000] lr: 1.500e-04, eta: 8:29:33, time: 0.239, data_time: 0.053, memory: 19921, decode.loss_ce: 0.2160, decode.acc_seg: 91.1506, loss: 0.2160 +2023-03-04 01:32:35,650 - mmseg - INFO - Iter [6400/160000] lr: 1.500e-04, eta: 8:29:27, time: 0.203, data_time: 0.007, memory: 19921, decode.loss_ce: 0.2141, decode.acc_seg: 91.2487, loss: 0.2141 +2023-03-04 01:32:45,521 - mmseg - INFO - Iter [6450/160000] lr: 1.500e-04, eta: 8:29:15, time: 0.197, data_time: 0.007, memory: 19921, decode.loss_ce: 0.2153, decode.acc_seg: 91.2339, loss: 0.2153 +2023-03-04 01:32:55,358 - mmseg - INFO - Iter [6500/160000] lr: 1.500e-04, eta: 8:29:03, time: 0.197, data_time: 0.007, memory: 19921, decode.loss_ce: 0.2103, decode.acc_seg: 91.5793, loss: 0.2103 +2023-03-04 01:33:05,041 - mmseg - INFO - Iter [6550/160000] lr: 1.500e-04, eta: 8:28:46, time: 0.193, data_time: 0.007, memory: 19921, decode.loss_ce: 0.2099, decode.acc_seg: 91.4571, loss: 0.2099 +2023-03-04 01:33:15,088 - mmseg - INFO - Iter [6600/160000] lr: 1.500e-04, eta: 8:28:39, time: 0.201, data_time: 0.007, memory: 19921, decode.loss_ce: 0.2156, decode.acc_seg: 91.0904, loss: 0.2156 +2023-03-04 01:33:24,619 - mmseg - INFO - Iter [6650/160000] lr: 1.500e-04, eta: 8:28:19, time: 0.191, data_time: 0.007, memory: 19921, decode.loss_ce: 0.2132, decode.acc_seg: 91.3016, loss: 0.2132 +2023-03-04 01:33:34,121 - mmseg - INFO - Iter [6700/160000] lr: 1.500e-04, eta: 8:27:59, time: 0.190, data_time: 0.007, memory: 19921, decode.loss_ce: 0.2264, decode.acc_seg: 90.7039, loss: 0.2264 +2023-03-04 01:33:43,885 - mmseg - INFO - Iter [6750/160000] lr: 1.500e-04, eta: 8:27:45, time: 0.195, data_time: 0.007, memory: 19921, decode.loss_ce: 0.2157, decode.acc_seg: 91.2405, loss: 0.2157 +2023-03-04 01:33:53,537 - mmseg - INFO - Iter [6800/160000] lr: 1.500e-04, eta: 8:27:29, time: 0.193, data_time: 0.007, memory: 19921, decode.loss_ce: 0.2186, decode.acc_seg: 91.0185, loss: 0.2186 +2023-03-04 01:34:03,152 - mmseg - INFO - Iter [6850/160000] lr: 1.500e-04, eta: 8:27:12, time: 0.192, data_time: 0.007, memory: 19921, decode.loss_ce: 0.2176, decode.acc_seg: 90.9920, loss: 0.2176 +2023-03-04 01:34:13,050 - mmseg - INFO - Iter [6900/160000] lr: 1.500e-04, eta: 8:27:01, time: 0.198, data_time: 0.007, memory: 19921, decode.loss_ce: 0.2112, decode.acc_seg: 91.4291, loss: 0.2112 +2023-03-04 01:34:25,123 - mmseg - INFO - Iter [6950/160000] lr: 1.500e-04, eta: 8:27:38, time: 0.241, data_time: 0.059, memory: 19921, decode.loss_ce: 0.2206, decode.acc_seg: 91.1825, loss: 0.2206 +2023-03-04 01:34:34,965 - mmseg - INFO - Exp name: ablation_segformer_mit_b2_segformer_head_unet_fc_small_multi_step_ade_pretrained_freeze_embed_160k_ade20k151_finetune_ema_t20.py +2023-03-04 01:34:34,965 - mmseg - INFO - Iter [7000/160000] lr: 1.500e-04, eta: 8:27:26, time: 0.197, data_time: 0.007, memory: 19921, decode.loss_ce: 0.2061, decode.acc_seg: 91.5622, loss: 0.2061 +2023-03-04 01:34:44,685 - mmseg - INFO - Iter [7050/160000] lr: 1.500e-04, eta: 8:27:11, time: 0.194, data_time: 0.006, memory: 19921, decode.loss_ce: 0.2104, decode.acc_seg: 91.5131, loss: 0.2104 +2023-03-04 01:34:54,484 - mmseg - INFO - Iter [7100/160000] lr: 1.500e-04, eta: 8:26:58, time: 0.196, data_time: 0.007, memory: 19921, decode.loss_ce: 0.2178, decode.acc_seg: 91.0612, loss: 0.2178 +2023-03-04 01:35:04,011 - mmseg - INFO - Iter [7150/160000] lr: 1.500e-04, eta: 8:26:39, time: 0.191, data_time: 0.007, memory: 19921, decode.loss_ce: 0.2199, decode.acc_seg: 91.1402, loss: 0.2199 +2023-03-04 01:35:13,527 - mmseg - INFO - Iter [7200/160000] lr: 1.500e-04, eta: 8:26:20, time: 0.190, data_time: 0.007, memory: 19921, decode.loss_ce: 0.2156, decode.acc_seg: 91.2643, loss: 0.2156 +2023-03-04 01:35:22,986 - mmseg - INFO - Iter [7250/160000] lr: 1.500e-04, eta: 8:26:00, time: 0.189, data_time: 0.007, memory: 19921, decode.loss_ce: 0.2183, decode.acc_seg: 91.1048, loss: 0.2183 +2023-03-04 01:35:32,586 - mmseg - INFO - Iter [7300/160000] lr: 1.500e-04, eta: 8:25:43, time: 0.192, data_time: 0.007, memory: 19921, decode.loss_ce: 0.2229, decode.acc_seg: 90.8088, loss: 0.2229 +2023-03-04 01:35:42,110 - mmseg - INFO - Iter [7350/160000] lr: 1.500e-04, eta: 8:25:24, time: 0.190, data_time: 0.007, memory: 19921, decode.loss_ce: 0.2194, decode.acc_seg: 91.0231, loss: 0.2194 +2023-03-04 01:35:51,791 - mmseg - INFO - Iter [7400/160000] lr: 1.500e-04, eta: 8:25:09, time: 0.194, data_time: 0.007, memory: 19921, decode.loss_ce: 0.2144, decode.acc_seg: 91.1430, loss: 0.2144 +2023-03-04 01:36:01,386 - mmseg - INFO - Iter [7450/160000] lr: 1.500e-04, eta: 8:24:52, time: 0.192, data_time: 0.007, memory: 19921, decode.loss_ce: 0.2151, decode.acc_seg: 91.1542, loss: 0.2151 +2023-03-04 01:36:11,079 - mmseg - INFO - Iter [7500/160000] lr: 1.500e-04, eta: 8:24:37, time: 0.194, data_time: 0.007, memory: 19921, decode.loss_ce: 0.2236, decode.acc_seg: 91.0050, loss: 0.2236 +2023-03-04 01:36:20,619 - mmseg - INFO - Iter [7550/160000] lr: 1.500e-04, eta: 8:24:20, time: 0.191, data_time: 0.007, memory: 19921, decode.loss_ce: 0.2106, decode.acc_seg: 91.2463, loss: 0.2106 +2023-03-04 01:36:32,757 - mmseg - INFO - Iter [7600/160000] lr: 1.500e-04, eta: 8:24:54, time: 0.243, data_time: 0.056, memory: 19921, decode.loss_ce: 0.2186, decode.acc_seg: 90.8564, loss: 0.2186 +2023-03-04 01:36:42,471 - mmseg - INFO - Iter [7650/160000] lr: 1.500e-04, eta: 8:24:40, time: 0.194, data_time: 0.007, memory: 19921, decode.loss_ce: 0.2109, decode.acc_seg: 91.3867, loss: 0.2109 +2023-03-04 01:36:52,029 - mmseg - INFO - Iter [7700/160000] lr: 1.500e-04, eta: 8:24:22, time: 0.191, data_time: 0.007, memory: 19921, decode.loss_ce: 0.2171, decode.acc_seg: 91.2109, loss: 0.2171 +2023-03-04 01:37:01,510 - mmseg - INFO - Iter [7750/160000] lr: 1.500e-04, eta: 8:24:03, time: 0.190, data_time: 0.007, memory: 19921, decode.loss_ce: 0.2075, decode.acc_seg: 91.4138, loss: 0.2075 +2023-03-04 01:37:11,112 - mmseg - INFO - Iter [7800/160000] lr: 1.500e-04, eta: 8:23:47, time: 0.192, data_time: 0.007, memory: 19921, decode.loss_ce: 0.2117, decode.acc_seg: 91.3464, loss: 0.2117 +2023-03-04 01:37:20,988 - mmseg - INFO - Iter [7850/160000] lr: 1.500e-04, eta: 8:23:36, time: 0.197, data_time: 0.007, memory: 19921, decode.loss_ce: 0.2284, decode.acc_seg: 90.8653, loss: 0.2284 +2023-03-04 01:37:30,557 - mmseg - INFO - Iter [7900/160000] lr: 1.500e-04, eta: 8:23:19, time: 0.192, data_time: 0.007, memory: 19921, decode.loss_ce: 0.2089, decode.acc_seg: 91.3399, loss: 0.2089 +2023-03-04 01:37:40,259 - mmseg - INFO - Iter [7950/160000] lr: 1.500e-04, eta: 8:23:05, time: 0.194, data_time: 0.007, memory: 19921, decode.loss_ce: 0.2189, decode.acc_seg: 91.2523, loss: 0.2189 +2023-03-04 01:37:49,895 - mmseg - INFO - Exp name: ablation_segformer_mit_b2_segformer_head_unet_fc_small_multi_step_ade_pretrained_freeze_embed_160k_ade20k151_finetune_ema_t20.py +2023-03-04 01:37:49,895 - mmseg - INFO - Iter [8000/160000] lr: 1.500e-04, eta: 8:22:49, time: 0.193, data_time: 0.007, memory: 19921, decode.loss_ce: 0.2204, decode.acc_seg: 91.2105, loss: 0.2204 +2023-03-04 01:37:59,559 - mmseg - INFO - Iter [8050/160000] lr: 1.500e-04, eta: 8:22:35, time: 0.193, data_time: 0.006, memory: 19921, decode.loss_ce: 0.2191, decode.acc_seg: 91.0682, loss: 0.2191 +2023-03-04 01:38:09,073 - mmseg - INFO - Iter [8100/160000] lr: 1.500e-04, eta: 8:22:17, time: 0.190, data_time: 0.007, memory: 19921, decode.loss_ce: 0.2143, decode.acc_seg: 91.3671, loss: 0.2143 +2023-03-04 01:38:18,545 - mmseg - INFO - Iter [8150/160000] lr: 1.500e-04, eta: 8:21:59, time: 0.189, data_time: 0.007, memory: 19921, decode.loss_ce: 0.2056, decode.acc_seg: 91.4879, loss: 0.2056 +2023-03-04 01:38:28,042 - mmseg - INFO - Iter [8200/160000] lr: 1.500e-04, eta: 8:21:41, time: 0.190, data_time: 0.007, memory: 19921, decode.loss_ce: 0.2106, decode.acc_seg: 91.3764, loss: 0.2106 +2023-03-04 01:38:40,324 - mmseg - INFO - Iter [8250/160000] lr: 1.500e-04, eta: 8:22:15, time: 0.246, data_time: 0.055, memory: 19921, decode.loss_ce: 0.2256, decode.acc_seg: 90.6342, loss: 0.2256 +2023-03-04 01:38:50,252 - mmseg - INFO - Iter [8300/160000] lr: 1.500e-04, eta: 8:22:05, time: 0.199, data_time: 0.007, memory: 19921, decode.loss_ce: 0.2217, decode.acc_seg: 90.9494, loss: 0.2217 +2023-03-04 01:38:59,712 - mmseg - INFO - Iter [8350/160000] lr: 1.500e-04, eta: 8:21:46, time: 0.189, data_time: 0.007, memory: 19921, decode.loss_ce: 0.2105, decode.acc_seg: 91.4252, loss: 0.2105 +2023-03-04 01:39:09,487 - mmseg - INFO - Iter [8400/160000] lr: 1.500e-04, eta: 8:21:34, time: 0.195, data_time: 0.007, memory: 19921, decode.loss_ce: 0.2213, decode.acc_seg: 91.0903, loss: 0.2213 +2023-03-04 01:39:19,159 - mmseg - INFO - Iter [8450/160000] lr: 1.500e-04, eta: 8:21:19, time: 0.193, data_time: 0.007, memory: 19921, decode.loss_ce: 0.2275, decode.acc_seg: 90.8175, loss: 0.2275 +2023-03-04 01:39:28,820 - mmseg - INFO - Iter [8500/160000] lr: 1.500e-04, eta: 8:21:04, time: 0.193, data_time: 0.007, memory: 19921, decode.loss_ce: 0.2126, decode.acc_seg: 91.2893, loss: 0.2126 +2023-03-04 01:39:38,397 - mmseg - INFO - Iter [8550/160000] lr: 1.500e-04, eta: 8:20:48, time: 0.192, data_time: 0.007, memory: 19921, decode.loss_ce: 0.2123, decode.acc_seg: 91.1891, loss: 0.2123 +2023-03-04 01:39:47,858 - mmseg - INFO - Iter [8600/160000] lr: 1.500e-04, eta: 8:20:30, time: 0.189, data_time: 0.007, memory: 19921, decode.loss_ce: 0.2158, decode.acc_seg: 91.2564, loss: 0.2158 +2023-03-04 01:39:57,963 - mmseg - INFO - Iter [8650/160000] lr: 1.500e-04, eta: 8:20:24, time: 0.202, data_time: 0.007, memory: 19921, decode.loss_ce: 0.2115, decode.acc_seg: 91.2191, loss: 0.2115 +2023-03-04 01:40:07,855 - mmseg - INFO - Iter [8700/160000] lr: 1.500e-04, eta: 8:20:13, time: 0.198, data_time: 0.007, memory: 19921, decode.loss_ce: 0.2143, decode.acc_seg: 91.2380, loss: 0.2143 +2023-03-04 01:40:17,368 - mmseg - INFO - Iter [8750/160000] lr: 1.500e-04, eta: 8:19:56, time: 0.190, data_time: 0.007, memory: 19921, decode.loss_ce: 0.2135, decode.acc_seg: 91.3641, loss: 0.2135 +2023-03-04 01:40:26,833 - mmseg - INFO - Iter [8800/160000] lr: 1.500e-04, eta: 8:19:39, time: 0.189, data_time: 0.007, memory: 19921, decode.loss_ce: 0.2155, decode.acc_seg: 91.1938, loss: 0.2155 +2023-03-04 01:40:38,823 - mmseg - INFO - Iter [8850/160000] lr: 1.500e-04, eta: 8:20:04, time: 0.240, data_time: 0.056, memory: 19921, decode.loss_ce: 0.2039, decode.acc_seg: 91.5718, loss: 0.2039 +2023-03-04 01:40:48,864 - mmseg - INFO - Iter [8900/160000] lr: 1.500e-04, eta: 8:19:56, time: 0.201, data_time: 0.006, memory: 19921, decode.loss_ce: 0.2166, decode.acc_seg: 91.2640, loss: 0.2166 +2023-03-04 01:40:58,510 - mmseg - INFO - Iter [8950/160000] lr: 1.500e-04, eta: 8:19:42, time: 0.193, data_time: 0.007, memory: 19921, decode.loss_ce: 0.2193, decode.acc_seg: 91.0923, loss: 0.2193 +2023-03-04 01:41:08,131 - mmseg - INFO - Exp name: ablation_segformer_mit_b2_segformer_head_unet_fc_small_multi_step_ade_pretrained_freeze_embed_160k_ade20k151_finetune_ema_t20.py +2023-03-04 01:41:08,132 - mmseg - INFO - Iter [9000/160000] lr: 1.500e-04, eta: 8:19:27, time: 0.192, data_time: 0.007, memory: 19921, decode.loss_ce: 0.2159, decode.acc_seg: 91.0940, loss: 0.2159 +2023-03-04 01:41:18,024 - mmseg - INFO - Iter [9050/160000] lr: 1.500e-04, eta: 8:19:16, time: 0.198, data_time: 0.007, memory: 19921, decode.loss_ce: 0.2215, decode.acc_seg: 90.9733, loss: 0.2215 +2023-03-04 01:41:27,628 - mmseg - INFO - Iter [9100/160000] lr: 1.500e-04, eta: 8:19:01, time: 0.192, data_time: 0.007, memory: 19921, decode.loss_ce: 0.2001, decode.acc_seg: 91.8186, loss: 0.2001 +2023-03-04 01:41:37,321 - mmseg - INFO - Iter [9150/160000] lr: 1.500e-04, eta: 8:18:47, time: 0.194, data_time: 0.007, memory: 19921, decode.loss_ce: 0.2109, decode.acc_seg: 91.4374, loss: 0.2109 +2023-03-04 01:41:46,845 - mmseg - INFO - Iter [9200/160000] lr: 1.500e-04, eta: 8:18:31, time: 0.190, data_time: 0.007, memory: 19921, decode.loss_ce: 0.2094, decode.acc_seg: 91.4217, loss: 0.2094 +2023-03-04 01:41:56,356 - mmseg - INFO - Iter [9250/160000] lr: 1.500e-04, eta: 8:18:14, time: 0.190, data_time: 0.007, memory: 19921, decode.loss_ce: 0.2153, decode.acc_seg: 91.2376, loss: 0.2153 +2023-03-04 01:42:05,863 - mmseg - INFO - Iter [9300/160000] lr: 1.500e-04, eta: 8:17:58, time: 0.190, data_time: 0.007, memory: 19921, decode.loss_ce: 0.2185, decode.acc_seg: 91.0679, loss: 0.2185 +2023-03-04 01:42:15,507 - mmseg - INFO - Iter [9350/160000] lr: 1.500e-04, eta: 8:17:44, time: 0.193, data_time: 0.007, memory: 19921, decode.loss_ce: 0.2123, decode.acc_seg: 91.3784, loss: 0.2123 +2023-03-04 01:42:24,956 - mmseg - INFO - Iter [9400/160000] lr: 1.500e-04, eta: 8:17:26, time: 0.189, data_time: 0.007, memory: 19921, decode.loss_ce: 0.2055, decode.acc_seg: 91.4876, loss: 0.2055 +2023-03-04 01:42:34,592 - mmseg - INFO - Iter [9450/160000] lr: 1.500e-04, eta: 8:17:12, time: 0.193, data_time: 0.007, memory: 19921, decode.loss_ce: 0.2184, decode.acc_seg: 91.2133, loss: 0.2184 +2023-03-04 01:42:46,611 - mmseg - INFO - Iter [9500/160000] lr: 1.500e-04, eta: 8:17:36, time: 0.240, data_time: 0.058, memory: 19921, decode.loss_ce: 0.2109, decode.acc_seg: 91.4726, loss: 0.2109 +2023-03-04 01:42:56,180 - mmseg - INFO - Iter [9550/160000] lr: 1.500e-04, eta: 8:17:20, time: 0.191, data_time: 0.007, memory: 19921, decode.loss_ce: 0.2180, decode.acc_seg: 91.0971, loss: 0.2180 +2023-03-04 01:43:05,960 - mmseg - INFO - Iter [9600/160000] lr: 1.500e-04, eta: 8:17:08, time: 0.196, data_time: 0.007, memory: 19921, decode.loss_ce: 0.2237, decode.acc_seg: 90.9083, loss: 0.2237 +2023-03-04 01:43:15,492 - mmseg - INFO - Iter [9650/160000] lr: 1.500e-04, eta: 8:16:52, time: 0.191, data_time: 0.007, memory: 19921, decode.loss_ce: 0.2117, decode.acc_seg: 91.4578, loss: 0.2117 +2023-03-04 01:43:25,044 - mmseg - INFO - Iter [9700/160000] lr: 1.500e-04, eta: 8:16:37, time: 0.191, data_time: 0.007, memory: 19921, decode.loss_ce: 0.2120, decode.acc_seg: 91.2271, loss: 0.2120 +2023-03-04 01:43:34,640 - mmseg - INFO - Iter [9750/160000] lr: 1.500e-04, eta: 8:16:22, time: 0.192, data_time: 0.007, memory: 19921, decode.loss_ce: 0.2082, decode.acc_seg: 91.4936, loss: 0.2082 +2023-03-04 01:43:44,365 - mmseg - INFO - Iter [9800/160000] lr: 1.500e-04, eta: 8:16:09, time: 0.194, data_time: 0.007, memory: 19921, decode.loss_ce: 0.2118, decode.acc_seg: 91.3417, loss: 0.2118 +2023-03-04 01:43:53,960 - mmseg - INFO - Iter [9850/160000] lr: 1.500e-04, eta: 8:15:54, time: 0.192, data_time: 0.007, memory: 19921, decode.loss_ce: 0.2198, decode.acc_seg: 91.0611, loss: 0.2198 +2023-03-04 01:44:03,399 - mmseg - INFO - Iter [9900/160000] lr: 1.500e-04, eta: 8:15:37, time: 0.189, data_time: 0.007, memory: 19921, decode.loss_ce: 0.2094, decode.acc_seg: 91.5236, loss: 0.2094 +2023-03-04 01:44:13,045 - mmseg - INFO - Iter [9950/160000] lr: 1.500e-04, eta: 8:15:23, time: 0.193, data_time: 0.007, memory: 19921, decode.loss_ce: 0.2151, decode.acc_seg: 91.3857, loss: 0.2151 +2023-03-04 01:44:22,559 - mmseg - INFO - Exp name: ablation_segformer_mit_b2_segformer_head_unet_fc_small_multi_step_ade_pretrained_freeze_embed_160k_ade20k151_finetune_ema_t20.py +2023-03-04 01:44:22,559 - mmseg - INFO - Iter [10000/160000] lr: 1.500e-04, eta: 8:15:08, time: 0.190, data_time: 0.007, memory: 19921, decode.loss_ce: 0.2133, decode.acc_seg: 91.3665, loss: 0.2133 +2023-03-04 01:44:32,093 - mmseg - INFO - Iter [10050/160000] lr: 1.500e-04, eta: 8:14:52, time: 0.191, data_time: 0.007, memory: 19921, decode.loss_ce: 0.2156, decode.acc_seg: 91.1475, loss: 0.2156 +2023-03-04 01:44:44,129 - mmseg - INFO - Iter [10100/160000] lr: 1.500e-04, eta: 8:15:14, time: 0.241, data_time: 0.054, memory: 19921, decode.loss_ce: 0.2157, decode.acc_seg: 91.2742, loss: 0.2157 +2023-03-04 01:44:53,612 - mmseg - INFO - Iter [10150/160000] lr: 1.500e-04, eta: 8:14:58, time: 0.190, data_time: 0.006, memory: 19921, decode.loss_ce: 0.2047, decode.acc_seg: 91.6903, loss: 0.2047 +2023-03-04 01:45:03,214 - mmseg - INFO - Iter [10200/160000] lr: 1.500e-04, eta: 8:14:43, time: 0.192, data_time: 0.007, memory: 19921, decode.loss_ce: 0.2063, decode.acc_seg: 91.5277, loss: 0.2063 +2023-03-04 01:45:12,850 - mmseg - INFO - Iter [10250/160000] lr: 1.500e-04, eta: 8:14:29, time: 0.193, data_time: 0.007, memory: 19921, decode.loss_ce: 0.2137, decode.acc_seg: 91.2215, loss: 0.2137 +2023-03-04 01:45:22,434 - mmseg - INFO - Iter [10300/160000] lr: 1.500e-04, eta: 8:14:15, time: 0.192, data_time: 0.007, memory: 19921, decode.loss_ce: 0.2332, decode.acc_seg: 90.7286, loss: 0.2332 +2023-03-04 01:45:31,982 - mmseg - INFO - Iter [10350/160000] lr: 1.500e-04, eta: 8:14:00, time: 0.191, data_time: 0.007, memory: 19921, decode.loss_ce: 0.2069, decode.acc_seg: 91.5050, loss: 0.2069 +2023-03-04 01:45:41,453 - mmseg - INFO - Iter [10400/160000] lr: 1.500e-04, eta: 8:13:44, time: 0.189, data_time: 0.007, memory: 19921, decode.loss_ce: 0.2058, decode.acc_seg: 91.6349, loss: 0.2058 +2023-03-04 01:45:51,075 - mmseg - INFO - Iter [10450/160000] lr: 1.500e-04, eta: 8:13:30, time: 0.192, data_time: 0.007, memory: 19921, decode.loss_ce: 0.2116, decode.acc_seg: 91.4546, loss: 0.2116 +2023-03-04 01:46:00,787 - mmseg - INFO - Iter [10500/160000] lr: 1.500e-04, eta: 8:13:17, time: 0.194, data_time: 0.007, memory: 19921, decode.loss_ce: 0.2261, decode.acc_seg: 90.9814, loss: 0.2261 +2023-03-04 01:46:10,282 - mmseg - INFO - Iter [10550/160000] lr: 1.500e-04, eta: 8:13:02, time: 0.190, data_time: 0.007, memory: 19921, decode.loss_ce: 0.2058, decode.acc_seg: 91.5222, loss: 0.2058 +2023-03-04 01:46:19,786 - mmseg - INFO - Iter [10600/160000] lr: 1.500e-04, eta: 8:12:46, time: 0.190, data_time: 0.007, memory: 19921, decode.loss_ce: 0.2165, decode.acc_seg: 91.1146, loss: 0.2165 +2023-03-04 01:46:29,257 - mmseg - INFO - Iter [10650/160000] lr: 1.500e-04, eta: 8:12:30, time: 0.189, data_time: 0.007, memory: 19921, decode.loss_ce: 0.2174, decode.acc_seg: 91.1100, loss: 0.2174 +2023-03-04 01:46:38,835 - mmseg - INFO - Iter [10700/160000] lr: 1.500e-04, eta: 8:12:16, time: 0.192, data_time: 0.007, memory: 19921, decode.loss_ce: 0.2196, decode.acc_seg: 91.1695, loss: 0.2196 +2023-03-04 01:46:51,116 - mmseg - INFO - Iter [10750/160000] lr: 1.500e-04, eta: 8:12:39, time: 0.246, data_time: 0.055, memory: 19921, decode.loss_ce: 0.2070, decode.acc_seg: 91.4646, loss: 0.2070 +2023-03-04 01:47:00,683 - mmseg - INFO - Iter [10800/160000] lr: 1.500e-04, eta: 8:12:25, time: 0.191, data_time: 0.007, memory: 19921, decode.loss_ce: 0.2166, decode.acc_seg: 91.2211, loss: 0.2166 +2023-03-04 01:47:10,227 - mmseg - INFO - Iter [10850/160000] lr: 1.500e-04, eta: 8:12:10, time: 0.191, data_time: 0.006, memory: 19921, decode.loss_ce: 0.2155, decode.acc_seg: 91.3552, loss: 0.2155 +2023-03-04 01:47:19,865 - mmseg - INFO - Iter [10900/160000] lr: 1.500e-04, eta: 8:11:56, time: 0.192, data_time: 0.007, memory: 19921, decode.loss_ce: 0.2168, decode.acc_seg: 91.2794, loss: 0.2168 +2023-03-04 01:47:29,515 - mmseg - INFO - Iter [10950/160000] lr: 1.500e-04, eta: 8:11:43, time: 0.193, data_time: 0.007, memory: 19921, decode.loss_ce: 0.2117, decode.acc_seg: 91.3572, loss: 0.2117 +2023-03-04 01:47:39,046 - mmseg - INFO - Exp name: ablation_segformer_mit_b2_segformer_head_unet_fc_small_multi_step_ade_pretrained_freeze_embed_160k_ade20k151_finetune_ema_t20.py +2023-03-04 01:47:39,046 - mmseg - INFO - Iter [11000/160000] lr: 1.500e-04, eta: 8:11:28, time: 0.191, data_time: 0.007, memory: 19921, decode.loss_ce: 0.2189, decode.acc_seg: 91.1179, loss: 0.2189 +2023-03-04 01:47:48,497 - mmseg - INFO - Iter [11050/160000] lr: 1.500e-04, eta: 8:11:12, time: 0.189, data_time: 0.007, memory: 19921, decode.loss_ce: 0.2132, decode.acc_seg: 91.4426, loss: 0.2132 +2023-03-04 01:47:58,588 - mmseg - INFO - Iter [11100/160000] lr: 1.500e-04, eta: 8:11:05, time: 0.202, data_time: 0.006, memory: 19921, decode.loss_ce: 0.2181, decode.acc_seg: 91.0086, loss: 0.2181 +2023-03-04 01:48:08,860 - mmseg - INFO - Iter [11150/160000] lr: 1.500e-04, eta: 8:11:00, time: 0.206, data_time: 0.007, memory: 19921, decode.loss_ce: 0.2220, decode.acc_seg: 90.9666, loss: 0.2220 +2023-03-04 01:48:18,545 - mmseg - INFO - Iter [11200/160000] lr: 1.500e-04, eta: 8:10:47, time: 0.193, data_time: 0.007, memory: 19921, decode.loss_ce: 0.2122, decode.acc_seg: 91.5185, loss: 0.2122 +2023-03-04 01:48:28,276 - mmseg - INFO - Iter [11250/160000] lr: 1.500e-04, eta: 8:10:36, time: 0.195, data_time: 0.007, memory: 19921, decode.loss_ce: 0.2188, decode.acc_seg: 91.0121, loss: 0.2188 +2023-03-04 01:48:37,977 - mmseg - INFO - Iter [11300/160000] lr: 1.500e-04, eta: 8:10:23, time: 0.194, data_time: 0.007, memory: 19921, decode.loss_ce: 0.2120, decode.acc_seg: 91.4052, loss: 0.2120 +2023-03-04 01:48:47,680 - mmseg - INFO - Iter [11350/160000] lr: 1.500e-04, eta: 8:10:11, time: 0.194, data_time: 0.006, memory: 19921, decode.loss_ce: 0.2044, decode.acc_seg: 91.7272, loss: 0.2044 +2023-03-04 01:48:59,842 - mmseg - INFO - Iter [11400/160000] lr: 1.500e-04, eta: 8:10:30, time: 0.243, data_time: 0.056, memory: 19921, decode.loss_ce: 0.2109, decode.acc_seg: 91.4479, loss: 0.2109 +2023-03-04 01:49:09,386 - mmseg - INFO - Iter [11450/160000] lr: 1.500e-04, eta: 8:10:16, time: 0.191, data_time: 0.007, memory: 19921, decode.loss_ce: 0.2195, decode.acc_seg: 91.1388, loss: 0.2195 +2023-03-04 01:49:18,871 - mmseg - INFO - Iter [11500/160000] lr: 1.500e-04, eta: 8:10:01, time: 0.190, data_time: 0.007, memory: 19921, decode.loss_ce: 0.2125, decode.acc_seg: 91.2391, loss: 0.2125 +2023-03-04 01:49:28,614 - mmseg - INFO - Iter [11550/160000] lr: 1.500e-04, eta: 8:09:49, time: 0.195, data_time: 0.007, memory: 19921, decode.loss_ce: 0.2080, decode.acc_seg: 91.4239, loss: 0.2080 +2023-03-04 01:49:38,337 - mmseg - INFO - Iter [11600/160000] lr: 1.500e-04, eta: 8:09:36, time: 0.194, data_time: 0.007, memory: 19921, decode.loss_ce: 0.2114, decode.acc_seg: 91.4880, loss: 0.2114 +2023-03-04 01:49:47,846 - mmseg - INFO - Iter [11650/160000] lr: 1.500e-04, eta: 8:09:22, time: 0.190, data_time: 0.007, memory: 19921, decode.loss_ce: 0.2166, decode.acc_seg: 91.2397, loss: 0.2166 +2023-03-04 01:49:57,623 - mmseg - INFO - Iter [11700/160000] lr: 1.500e-04, eta: 8:09:10, time: 0.196, data_time: 0.007, memory: 19921, decode.loss_ce: 0.2102, decode.acc_seg: 91.3427, loss: 0.2102 +2023-03-04 01:50:07,185 - mmseg - INFO - Iter [11750/160000] lr: 1.500e-04, eta: 8:08:56, time: 0.191, data_time: 0.007, memory: 19921, decode.loss_ce: 0.2056, decode.acc_seg: 91.6429, loss: 0.2056 +2023-03-04 01:50:17,081 - mmseg - INFO - Iter [11800/160000] lr: 1.500e-04, eta: 8:08:46, time: 0.198, data_time: 0.007, memory: 19921, decode.loss_ce: 0.2094, decode.acc_seg: 91.4965, loss: 0.2094 +2023-03-04 01:50:26,705 - mmseg - INFO - Iter [11850/160000] lr: 1.500e-04, eta: 8:08:33, time: 0.192, data_time: 0.007, memory: 19921, decode.loss_ce: 0.2113, decode.acc_seg: 91.3749, loss: 0.2113 +2023-03-04 01:50:36,234 - mmseg - INFO - Iter [11900/160000] lr: 1.500e-04, eta: 8:08:19, time: 0.191, data_time: 0.007, memory: 19921, decode.loss_ce: 0.2113, decode.acc_seg: 91.4254, loss: 0.2113 +2023-03-04 01:50:45,884 - mmseg - INFO - Iter [11950/160000] lr: 1.500e-04, eta: 8:08:06, time: 0.193, data_time: 0.007, memory: 19921, decode.loss_ce: 0.2178, decode.acc_seg: 91.2345, loss: 0.2178 +2023-03-04 01:50:58,489 - mmseg - INFO - Exp name: ablation_segformer_mit_b2_segformer_head_unet_fc_small_multi_step_ade_pretrained_freeze_embed_160k_ade20k151_finetune_ema_t20.py +2023-03-04 01:50:58,490 - mmseg - INFO - Iter [12000/160000] lr: 1.500e-04, eta: 8:08:29, time: 0.252, data_time: 0.057, memory: 19921, decode.loss_ce: 0.2163, decode.acc_seg: 91.2583, loss: 0.2163 +2023-03-04 01:51:08,132 - mmseg - INFO - Iter [12050/160000] lr: 1.500e-04, eta: 8:08:16, time: 0.193, data_time: 0.007, memory: 19921, decode.loss_ce: 0.2064, decode.acc_seg: 91.5857, loss: 0.2064 +2023-03-04 01:51:17,634 - mmseg - INFO - Iter [12100/160000] lr: 1.500e-04, eta: 8:08:01, time: 0.190, data_time: 0.007, memory: 19921, decode.loss_ce: 0.2197, decode.acc_seg: 91.1071, loss: 0.2197 +2023-03-04 01:51:27,576 - mmseg - INFO - Iter [12150/160000] lr: 1.500e-04, eta: 8:07:52, time: 0.199, data_time: 0.006, memory: 19921, decode.loss_ce: 0.2197, decode.acc_seg: 91.0385, loss: 0.2197 +2023-03-04 01:51:37,275 - mmseg - INFO - Iter [12200/160000] lr: 1.500e-04, eta: 8:07:40, time: 0.194, data_time: 0.007, memory: 19921, decode.loss_ce: 0.2218, decode.acc_seg: 91.0499, loss: 0.2218 +2023-03-04 01:51:46,815 - mmseg - INFO - Iter [12250/160000] lr: 1.500e-04, eta: 8:07:25, time: 0.191, data_time: 0.007, memory: 19921, decode.loss_ce: 0.2094, decode.acc_seg: 91.4328, loss: 0.2094 +2023-03-04 01:51:56,602 - mmseg - INFO - Iter [12300/160000] lr: 1.500e-04, eta: 8:07:14, time: 0.196, data_time: 0.007, memory: 19921, decode.loss_ce: 0.2130, decode.acc_seg: 91.1506, loss: 0.2130 +2023-03-04 01:52:06,202 - mmseg - INFO - Iter [12350/160000] lr: 1.500e-04, eta: 8:07:01, time: 0.192, data_time: 0.007, memory: 19921, decode.loss_ce: 0.2159, decode.acc_seg: 91.1604, loss: 0.2159 +2023-03-04 01:52:15,696 - mmseg - INFO - Iter [12400/160000] lr: 1.500e-04, eta: 8:06:46, time: 0.190, data_time: 0.007, memory: 19921, decode.loss_ce: 0.2019, decode.acc_seg: 91.8285, loss: 0.2019 +2023-03-04 01:52:25,377 - mmseg - INFO - Iter [12450/160000] lr: 1.500e-04, eta: 8:06:34, time: 0.194, data_time: 0.007, memory: 19921, decode.loss_ce: 0.2168, decode.acc_seg: 91.1674, loss: 0.2168 +2023-03-04 01:52:35,158 - mmseg - INFO - Iter [12500/160000] lr: 1.500e-04, eta: 8:06:22, time: 0.195, data_time: 0.007, memory: 19921, decode.loss_ce: 0.2129, decode.acc_seg: 91.3111, loss: 0.2129 +2023-03-04 01:52:44,660 - mmseg - INFO - Iter [12550/160000] lr: 1.500e-04, eta: 8:06:08, time: 0.190, data_time: 0.007, memory: 19921, decode.loss_ce: 0.2249, decode.acc_seg: 91.1766, loss: 0.2249 +2023-03-04 01:52:54,290 - mmseg - INFO - Iter [12600/160000] lr: 1.500e-04, eta: 8:05:55, time: 0.193, data_time: 0.007, memory: 19921, decode.loss_ce: 0.2096, decode.acc_seg: 91.5082, loss: 0.2096 +2023-03-04 01:53:06,246 - mmseg - INFO - Iter [12650/160000] lr: 1.500e-04, eta: 8:06:09, time: 0.239, data_time: 0.054, memory: 19921, decode.loss_ce: 0.2118, decode.acc_seg: 91.2784, loss: 0.2118 +2023-03-04 01:53:16,386 - mmseg - INFO - Iter [12700/160000] lr: 1.500e-04, eta: 8:06:02, time: 0.203, data_time: 0.006, memory: 19921, decode.loss_ce: 0.2025, decode.acc_seg: 91.6460, loss: 0.2025 +2023-03-04 01:53:26,124 - mmseg - INFO - Iter [12750/160000] lr: 1.500e-04, eta: 8:05:50, time: 0.195, data_time: 0.006, memory: 19921, decode.loss_ce: 0.2133, decode.acc_seg: 91.2199, loss: 0.2133 +2023-03-04 01:53:35,821 - mmseg - INFO - Iter [12800/160000] lr: 1.500e-04, eta: 8:05:38, time: 0.194, data_time: 0.007, memory: 19921, decode.loss_ce: 0.2204, decode.acc_seg: 90.9736, loss: 0.2204 +2023-03-04 01:53:45,925 - mmseg - INFO - Iter [12850/160000] lr: 1.500e-04, eta: 8:05:30, time: 0.202, data_time: 0.007, memory: 19921, decode.loss_ce: 0.2100, decode.acc_seg: 91.2618, loss: 0.2100 +2023-03-04 01:53:55,774 - mmseg - INFO - Iter [12900/160000] lr: 1.500e-04, eta: 8:05:20, time: 0.197, data_time: 0.007, memory: 19921, decode.loss_ce: 0.2191, decode.acc_seg: 91.2973, loss: 0.2191 +2023-03-04 01:54:05,415 - mmseg - INFO - Iter [12950/160000] lr: 1.500e-04, eta: 8:05:07, time: 0.193, data_time: 0.007, memory: 19921, decode.loss_ce: 0.2202, decode.acc_seg: 91.0046, loss: 0.2202 +2023-03-04 01:54:15,154 - mmseg - INFO - Exp name: ablation_segformer_mit_b2_segformer_head_unet_fc_small_multi_step_ade_pretrained_freeze_embed_160k_ade20k151_finetune_ema_t20.py +2023-03-04 01:54:15,154 - mmseg - INFO - Iter [13000/160000] lr: 1.500e-04, eta: 8:04:56, time: 0.195, data_time: 0.007, memory: 19921, decode.loss_ce: 0.2067, decode.acc_seg: 91.5370, loss: 0.2067 +2023-03-04 01:54:24,903 - mmseg - INFO - Iter [13050/160000] lr: 1.500e-04, eta: 8:04:44, time: 0.195, data_time: 0.007, memory: 19921, decode.loss_ce: 0.2211, decode.acc_seg: 91.0041, loss: 0.2211 +2023-03-04 01:54:34,657 - mmseg - INFO - Iter [13100/160000] lr: 1.500e-04, eta: 8:04:33, time: 0.195, data_time: 0.007, memory: 19921, decode.loss_ce: 0.2160, decode.acc_seg: 91.2948, loss: 0.2160 +2023-03-04 01:54:44,315 - mmseg - INFO - Iter [13150/160000] lr: 1.500e-04, eta: 8:04:20, time: 0.193, data_time: 0.007, memory: 19921, decode.loss_ce: 0.2204, decode.acc_seg: 91.0166, loss: 0.2204 +2023-03-04 01:54:53,839 - mmseg - INFO - Iter [13200/160000] lr: 1.500e-04, eta: 8:04:06, time: 0.190, data_time: 0.007, memory: 19921, decode.loss_ce: 0.2125, decode.acc_seg: 91.3630, loss: 0.2125 +2023-03-04 01:55:03,332 - mmseg - INFO - Iter [13250/160000] lr: 1.500e-04, eta: 8:03:52, time: 0.190, data_time: 0.007, memory: 19921, decode.loss_ce: 0.2130, decode.acc_seg: 91.2859, loss: 0.2130 +2023-03-04 01:55:15,721 - mmseg - INFO - Iter [13300/160000] lr: 1.500e-04, eta: 8:04:09, time: 0.248, data_time: 0.052, memory: 19921, decode.loss_ce: 0.2059, decode.acc_seg: 91.6415, loss: 0.2059 +2023-03-04 01:55:25,501 - mmseg - INFO - Iter [13350/160000] lr: 1.500e-04, eta: 8:03:58, time: 0.196, data_time: 0.007, memory: 19921, decode.loss_ce: 0.2105, decode.acc_seg: 91.4935, loss: 0.2105 +2023-03-04 01:55:35,191 - mmseg - INFO - Iter [13400/160000] lr: 1.500e-04, eta: 8:03:46, time: 0.194, data_time: 0.006, memory: 19921, decode.loss_ce: 0.2024, decode.acc_seg: 91.5887, loss: 0.2024 +2023-03-04 01:55:44,761 - mmseg - INFO - Iter [13450/160000] lr: 1.500e-04, eta: 8:03:32, time: 0.191, data_time: 0.007, memory: 19921, decode.loss_ce: 0.2155, decode.acc_seg: 91.4136, loss: 0.2155 +2023-03-04 01:55:54,314 - mmseg - INFO - Iter [13500/160000] lr: 1.500e-04, eta: 8:03:19, time: 0.191, data_time: 0.007, memory: 19921, decode.loss_ce: 0.2170, decode.acc_seg: 91.1861, loss: 0.2170 +2023-03-04 01:56:03,911 - mmseg - INFO - Iter [13550/160000] lr: 1.500e-04, eta: 8:03:06, time: 0.192, data_time: 0.006, memory: 19921, decode.loss_ce: 0.2112, decode.acc_seg: 91.3477, loss: 0.2112 +2023-03-04 01:56:13,539 - mmseg - INFO - Iter [13600/160000] lr: 1.500e-04, eta: 8:02:53, time: 0.193, data_time: 0.007, memory: 19921, decode.loss_ce: 0.2093, decode.acc_seg: 91.5767, loss: 0.2093 +2023-03-04 01:56:23,109 - mmseg - INFO - Iter [13650/160000] lr: 1.500e-04, eta: 8:02:39, time: 0.191, data_time: 0.007, memory: 19921, decode.loss_ce: 0.2101, decode.acc_seg: 91.3751, loss: 0.2101 +2023-03-04 01:56:32,702 - mmseg - INFO - Iter [13700/160000] lr: 1.500e-04, eta: 8:02:26, time: 0.192, data_time: 0.006, memory: 19921, decode.loss_ce: 0.2061, decode.acc_seg: 91.4855, loss: 0.2061 +2023-03-04 01:56:42,556 - mmseg - INFO - Iter [13750/160000] lr: 1.500e-04, eta: 8:02:16, time: 0.197, data_time: 0.007, memory: 19921, decode.loss_ce: 0.2182, decode.acc_seg: 91.1611, loss: 0.2182 +2023-03-04 01:56:52,519 - mmseg - INFO - Iter [13800/160000] lr: 1.500e-04, eta: 8:02:07, time: 0.199, data_time: 0.007, memory: 19921, decode.loss_ce: 0.2179, decode.acc_seg: 91.1842, loss: 0.2179 +2023-03-04 01:57:02,133 - mmseg - INFO - Iter [13850/160000] lr: 1.500e-04, eta: 8:01:54, time: 0.192, data_time: 0.007, memory: 19921, decode.loss_ce: 0.2154, decode.acc_seg: 91.3204, loss: 0.2154 +2023-03-04 01:57:14,475 - mmseg - INFO - Iter [13900/160000] lr: 1.500e-04, eta: 8:02:10, time: 0.247, data_time: 0.054, memory: 19921, decode.loss_ce: 0.2189, decode.acc_seg: 90.9208, loss: 0.2189 +2023-03-04 01:57:24,218 - mmseg - INFO - Iter [13950/160000] lr: 1.500e-04, eta: 8:01:58, time: 0.195, data_time: 0.007, memory: 19921, decode.loss_ce: 0.2106, decode.acc_seg: 91.4761, loss: 0.2106 +2023-03-04 01:57:33,971 - mmseg - INFO - Exp name: ablation_segformer_mit_b2_segformer_head_unet_fc_small_multi_step_ade_pretrained_freeze_embed_160k_ade20k151_finetune_ema_t20.py +2023-03-04 01:57:33,971 - mmseg - INFO - Iter [14000/160000] lr: 1.500e-04, eta: 8:01:47, time: 0.195, data_time: 0.006, memory: 19921, decode.loss_ce: 0.2073, decode.acc_seg: 91.5422, loss: 0.2073 +2023-03-04 01:57:43,627 - mmseg - INFO - Iter [14050/160000] lr: 1.500e-04, eta: 8:01:34, time: 0.193, data_time: 0.007, memory: 19921, decode.loss_ce: 0.2236, decode.acc_seg: 90.8826, loss: 0.2236 +2023-03-04 01:57:53,402 - mmseg - INFO - Iter [14100/160000] lr: 1.500e-04, eta: 8:01:23, time: 0.195, data_time: 0.007, memory: 19921, decode.loss_ce: 0.2053, decode.acc_seg: 91.6836, loss: 0.2053 +2023-03-04 01:58:03,002 - mmseg - INFO - Iter [14150/160000] lr: 1.500e-04, eta: 8:01:10, time: 0.192, data_time: 0.007, memory: 19921, decode.loss_ce: 0.2159, decode.acc_seg: 91.2121, loss: 0.2159 +2023-03-04 01:58:12,635 - mmseg - INFO - Iter [14200/160000] lr: 1.500e-04, eta: 8:00:57, time: 0.192, data_time: 0.007, memory: 19921, decode.loss_ce: 0.2164, decode.acc_seg: 91.3066, loss: 0.2164 +2023-03-04 01:58:22,070 - mmseg - INFO - Iter [14250/160000] lr: 1.500e-04, eta: 8:00:43, time: 0.189, data_time: 0.007, memory: 19921, decode.loss_ce: 0.2025, decode.acc_seg: 91.5864, loss: 0.2025 +2023-03-04 01:58:31,536 - mmseg - INFO - Iter [14300/160000] lr: 1.500e-04, eta: 8:00:29, time: 0.189, data_time: 0.007, memory: 19921, decode.loss_ce: 0.2046, decode.acc_seg: 91.6031, loss: 0.2046 +2023-03-04 01:58:41,089 - mmseg - INFO - Iter [14350/160000] lr: 1.500e-04, eta: 8:00:15, time: 0.191, data_time: 0.007, memory: 19921, decode.loss_ce: 0.2077, decode.acc_seg: 91.4796, loss: 0.2077 +2023-03-04 01:58:50,677 - mmseg - INFO - Iter [14400/160000] lr: 1.500e-04, eta: 8:00:02, time: 0.192, data_time: 0.007, memory: 19921, decode.loss_ce: 0.2201, decode.acc_seg: 91.0480, loss: 0.2201 +2023-03-04 01:59:00,135 - mmseg - INFO - Iter [14450/160000] lr: 1.500e-04, eta: 7:59:48, time: 0.189, data_time: 0.007, memory: 19921, decode.loss_ce: 0.2018, decode.acc_seg: 91.6001, loss: 0.2018 +2023-03-04 01:59:09,649 - mmseg - INFO - Iter [14500/160000] lr: 1.500e-04, eta: 7:59:34, time: 0.190, data_time: 0.007, memory: 19921, decode.loss_ce: 0.2142, decode.acc_seg: 91.1595, loss: 0.2142 +2023-03-04 01:59:21,661 - mmseg - INFO - Iter [14550/160000] lr: 1.500e-04, eta: 7:59:46, time: 0.240, data_time: 0.053, memory: 19921, decode.loss_ce: 0.2103, decode.acc_seg: 91.4847, loss: 0.2103 +2023-03-04 01:59:31,188 - mmseg - INFO - Iter [14600/160000] lr: 1.500e-04, eta: 7:59:32, time: 0.191, data_time: 0.006, memory: 19921, decode.loss_ce: 0.2150, decode.acc_seg: 91.3089, loss: 0.2150 +2023-03-04 01:59:40,732 - mmseg - INFO - Iter [14650/160000] lr: 1.500e-04, eta: 7:59:19, time: 0.191, data_time: 0.007, memory: 19921, decode.loss_ce: 0.2101, decode.acc_seg: 91.4668, loss: 0.2101 +2023-03-04 01:59:50,185 - mmseg - INFO - Iter [14700/160000] lr: 1.500e-04, eta: 7:59:05, time: 0.189, data_time: 0.007, memory: 19921, decode.loss_ce: 0.2078, decode.acc_seg: 91.3766, loss: 0.2078 +2023-03-04 01:59:59,738 - mmseg - INFO - Iter [14750/160000] lr: 1.500e-04, eta: 7:58:51, time: 0.191, data_time: 0.007, memory: 19921, decode.loss_ce: 0.2154, decode.acc_seg: 91.3090, loss: 0.2154 +2023-03-04 02:00:09,216 - mmseg - INFO - Iter [14800/160000] lr: 1.500e-04, eta: 7:58:37, time: 0.190, data_time: 0.007, memory: 19921, decode.loss_ce: 0.2083, decode.acc_seg: 91.3951, loss: 0.2083 +2023-03-04 02:00:18,627 - mmseg - INFO - Iter [14850/160000] lr: 1.500e-04, eta: 7:58:23, time: 0.188, data_time: 0.007, memory: 19921, decode.loss_ce: 0.2157, decode.acc_seg: 91.1858, loss: 0.2157 +2023-03-04 02:00:28,122 - mmseg - INFO - Iter [14900/160000] lr: 1.500e-04, eta: 7:58:09, time: 0.190, data_time: 0.007, memory: 19921, decode.loss_ce: 0.2128, decode.acc_seg: 91.3593, loss: 0.2128 +2023-03-04 02:00:37,748 - mmseg - INFO - Iter [14950/160000] lr: 1.500e-04, eta: 7:57:57, time: 0.193, data_time: 0.007, memory: 19921, decode.loss_ce: 0.2048, decode.acc_seg: 91.5377, loss: 0.2048 +2023-03-04 02:00:47,262 - mmseg - INFO - Exp name: ablation_segformer_mit_b2_segformer_head_unet_fc_small_multi_step_ade_pretrained_freeze_embed_160k_ade20k151_finetune_ema_t20.py +2023-03-04 02:00:47,262 - mmseg - INFO - Iter [15000/160000] lr: 1.500e-04, eta: 7:57:43, time: 0.190, data_time: 0.007, memory: 19921, decode.loss_ce: 0.2264, decode.acc_seg: 90.7066, loss: 0.2264 +2023-03-04 02:00:56,868 - mmseg - INFO - Iter [15050/160000] lr: 1.500e-04, eta: 7:57:31, time: 0.192, data_time: 0.007, memory: 19921, decode.loss_ce: 0.2060, decode.acc_seg: 91.5594, loss: 0.2060 +2023-03-04 02:01:06,639 - mmseg - INFO - Iter [15100/160000] lr: 1.500e-04, eta: 7:57:20, time: 0.195, data_time: 0.007, memory: 19921, decode.loss_ce: 0.2151, decode.acc_seg: 91.3152, loss: 0.2151 +2023-03-04 02:01:18,881 - mmseg - INFO - Iter [15150/160000] lr: 1.500e-04, eta: 7:57:32, time: 0.245, data_time: 0.054, memory: 19921, decode.loss_ce: 0.2182, decode.acc_seg: 91.0746, loss: 0.2182 +2023-03-04 02:01:28,391 - mmseg - INFO - Iter [15200/160000] lr: 1.500e-04, eta: 7:57:19, time: 0.190, data_time: 0.007, memory: 19921, decode.loss_ce: 0.2106, decode.acc_seg: 91.2883, loss: 0.2106 +2023-03-04 02:01:38,268 - mmseg - INFO - Iter [15250/160000] lr: 1.500e-04, eta: 7:57:09, time: 0.198, data_time: 0.007, memory: 19921, decode.loss_ce: 0.2148, decode.acc_seg: 91.1118, loss: 0.2148 +2023-03-04 02:01:47,687 - mmseg - INFO - Iter [15300/160000] lr: 1.500e-04, eta: 7:56:55, time: 0.188, data_time: 0.007, memory: 19921, decode.loss_ce: 0.2062, decode.acc_seg: 91.5637, loss: 0.2062 +2023-03-04 02:01:57,447 - mmseg - INFO - Iter [15350/160000] lr: 1.500e-04, eta: 7:56:43, time: 0.195, data_time: 0.007, memory: 19921, decode.loss_ce: 0.2065, decode.acc_seg: 91.5171, loss: 0.2065 +2023-03-04 02:02:06,910 - mmseg - INFO - Iter [15400/160000] lr: 1.500e-04, eta: 7:56:30, time: 0.189, data_time: 0.007, memory: 19921, decode.loss_ce: 0.2031, decode.acc_seg: 91.5532, loss: 0.2031 +2023-03-04 02:02:16,914 - mmseg - INFO - Iter [15450/160000] lr: 1.500e-04, eta: 7:56:21, time: 0.200, data_time: 0.006, memory: 19921, decode.loss_ce: 0.2053, decode.acc_seg: 91.5481, loss: 0.2053 +2023-03-04 02:02:26,407 - mmseg - INFO - Iter [15500/160000] lr: 1.500e-04, eta: 7:56:07, time: 0.190, data_time: 0.007, memory: 19921, decode.loss_ce: 0.2162, decode.acc_seg: 91.1236, loss: 0.2162 +2023-03-04 02:02:35,902 - mmseg - INFO - Iter [15550/160000] lr: 1.500e-04, eta: 7:55:54, time: 0.190, data_time: 0.007, memory: 19921, decode.loss_ce: 0.2081, decode.acc_seg: 91.3815, loss: 0.2081 +2023-03-04 02:02:45,438 - mmseg - INFO - Iter [15600/160000] lr: 1.500e-04, eta: 7:55:41, time: 0.191, data_time: 0.007, memory: 19921, decode.loss_ce: 0.2167, decode.acc_seg: 91.3237, loss: 0.2167 +2023-03-04 02:02:54,878 - mmseg - INFO - Iter [15650/160000] lr: 1.500e-04, eta: 7:55:27, time: 0.189, data_time: 0.007, memory: 19921, decode.loss_ce: 0.2075, decode.acc_seg: 91.5339, loss: 0.2075 +2023-03-04 02:03:04,361 - mmseg - INFO - Iter [15700/160000] lr: 1.500e-04, eta: 7:55:13, time: 0.190, data_time: 0.007, memory: 19921, decode.loss_ce: 0.2080, decode.acc_seg: 91.4806, loss: 0.2080 +2023-03-04 02:03:13,861 - mmseg - INFO - Iter [15750/160000] lr: 1.500e-04, eta: 7:55:00, time: 0.190, data_time: 0.007, memory: 19921, decode.loss_ce: 0.2118, decode.acc_seg: 91.4147, loss: 0.2118 +2023-03-04 02:03:25,953 - mmseg - INFO - Iter [15800/160000] lr: 1.500e-04, eta: 7:55:10, time: 0.242, data_time: 0.058, memory: 19921, decode.loss_ce: 0.2044, decode.acc_seg: 91.5227, loss: 0.2044 +2023-03-04 02:03:35,697 - mmseg - INFO - Iter [15850/160000] lr: 1.500e-04, eta: 7:54:59, time: 0.195, data_time: 0.007, memory: 19921, decode.loss_ce: 0.2111, decode.acc_seg: 91.3133, loss: 0.2111 +2023-03-04 02:03:45,105 - mmseg - INFO - Iter [15900/160000] lr: 1.500e-04, eta: 7:54:45, time: 0.188, data_time: 0.007, memory: 19921, decode.loss_ce: 0.1990, decode.acc_seg: 91.7255, loss: 0.1990 +2023-03-04 02:03:54,527 - mmseg - INFO - Iter [15950/160000] lr: 1.500e-04, eta: 7:54:31, time: 0.188, data_time: 0.006, memory: 19921, decode.loss_ce: 0.2041, decode.acc_seg: 91.7088, loss: 0.2041 +2023-03-04 02:04:04,193 - mmseg - INFO - Swap parameters (after train) after iter [16000] +2023-03-04 02:04:04,205 - mmseg - INFO - Saving checkpoint at 16000 iterations +2023-03-04 02:04:05,295 - mmseg - INFO - Exp name: ablation_segformer_mit_b2_segformer_head_unet_fc_small_multi_step_ade_pretrained_freeze_embed_160k_ade20k151_finetune_ema_t20.py +2023-03-04 02:04:05,295 - mmseg - INFO - Iter [16000/160000] lr: 1.500e-04, eta: 7:54:29, time: 0.215, data_time: 0.007, memory: 19921, decode.loss_ce: 0.2086, decode.acc_seg: 91.4890, loss: 0.2086 +2023-03-04 02:10:41,479 - mmseg - INFO - per class results: +2023-03-04 02:10:41,492 - mmseg - INFO - ++---------------------+-------------------------------------------------------------------------------------------------------------------------+ +| Class | IoU 0,1,2,3,4,5,6,7,8,9,10,11,12,13,14,15,16,17,18,19 | ++---------------------+-------------------------------------------------------------------------------------------------------------------------+ +| background | nan,nan,nan,nan,nan,nan,nan,nan,nan,nan,nan,nan,nan,nan,nan,nan,nan,nan,nan,nan | +| wall | 77.04,77.05,77.06,77.06,77.07,77.07,77.08,77.08,77.08,77.1,77.09,77.1,77.1,77.1,77.1,77.1,77.1,77.1,77.1,77.1 | +| building | 81.44,81.45,81.44,81.45,81.45,81.45,81.45,81.45,81.45,81.45,81.45,81.45,81.46,81.45,81.46,81.45,81.46,81.45,81.46,81.45 | +| sky | 94.36,94.37,94.37,94.37,94.37,94.37,94.37,94.37,94.37,94.37,94.37,94.37,94.37,94.37,94.37,94.38,94.37,94.38,94.38,94.38 | +| floor | 81.36,81.36,81.37,81.38,81.38,81.38,81.38,81.4,81.39,81.4,81.4,81.41,81.41,81.41,81.4,81.4,81.41,81.4,81.4,81.41 | +| tree | 73.68,73.68,73.69,73.69,73.68,73.68,73.67,73.7,73.68,73.69,73.69,73.7,73.68,73.71,73.69,73.71,73.69,73.71,73.7,73.72 | +| ceiling | 84.89,84.91,84.9,84.91,84.9,84.92,84.92,84.91,84.93,84.92,84.93,84.92,84.92,84.91,84.92,84.9,84.91,84.88,84.91,84.87 | +| road | 81.58,81.56,81.56,81.55,81.55,81.53,81.53,81.52,81.51,81.51,81.51,81.5,81.48,81.48,81.47,81.48,81.46,81.47,81.45,81.45 | +| bed | 87.41,87.37,87.39,87.4,87.39,87.39,87.37,87.37,87.38,87.38,87.38,87.39,87.37,87.34,87.37,87.33,87.38,87.32,87.38,87.31 | +| windowpane | 60.03,60.01,60.02,60.01,60.02,60.01,60.04,60.01,60.04,60.02,60.02,60.04,60.01,60.05,60.04,60.08,60.04,60.08,60.04,60.09 | +| grass | 66.93,66.93,66.94,66.94,66.94,66.96,66.97,66.95,66.97,66.96,66.96,66.96,66.98,66.96,66.99,66.97,66.98,66.97,66.98,66.99 | +| cabinet | 59.87,59.87,59.91,59.9,59.92,59.98,59.99,59.97,60.06,60.02,60.07,60.12,60.11,60.11,60.15,60.16,60.2,60.2,60.21,60.22 | +| sidewalk | 63.37,63.34,63.33,63.32,63.33,63.29,63.29,63.27,63.25,63.26,63.23,63.23,63.18,63.18,63.14,63.17,63.12,63.14,63.1,63.09 | +| person | 79.03,79.04,79.05,79.06,79.06,79.08,79.07,79.11,79.09,79.12,79.11,79.15,79.13,79.15,79.14,79.16,79.16,79.16,79.17,79.17 | +| earth | 35.5,35.53,35.53,35.54,35.55,35.54,35.54,35.54,35.59,35.55,35.6,35.58,35.6,35.57,35.62,35.59,35.64,35.6,35.63,35.59 | +| door | 44.56,44.58,44.58,44.62,44.6,44.63,44.62,44.63,44.64,44.64,44.66,44.62,44.68,44.63,44.68,44.63,44.67,44.64,44.68,44.63 | +| table | 59.65,59.68,59.67,59.72,59.73,59.73,59.77,59.76,59.79,59.76,59.81,59.76,59.81,59.76,59.83,59.75,59.85,59.76,59.86,59.76 | +| mountain | 56.72,56.73,56.69,56.69,56.67,56.68,56.66,56.65,56.69,56.65,56.67,56.67,56.67,56.69,56.68,56.7,56.69,56.72,56.7,56.74 | +| plant | 50.28,50.29,50.3,50.32,50.31,50.3,50.3,50.31,50.29,50.31,50.32,50.35,50.32,50.35,50.34,50.34,50.35,50.33,50.35,50.32 | +| curtain | 74.07,74.04,74.08,74.06,74.11,74.12,74.13,74.12,74.09,74.13,74.12,74.21,74.16,74.22,74.19,74.23,74.22,74.26,74.25,74.27 | +| chair | 55.47,55.5,55.48,55.51,55.52,55.51,55.54,55.55,55.52,55.56,55.56,55.56,55.53,55.56,55.57,55.56,55.56,55.57,55.56,55.54 | +| car | 81.51,81.51,81.51,81.51,81.51,81.53,81.53,81.51,81.55,81.53,81.54,81.54,81.54,81.55,81.54,81.55,81.54,81.56,81.55,81.56 | +| water | 57.59,57.58,57.58,57.56,57.52,57.54,57.53,57.53,57.51,57.5,57.5,57.47,57.47,57.46,57.45,57.43,57.44,57.41,57.43,57.4 | +| painting | 70.01,69.99,70.03,70.01,70.01,69.99,70.02,70.04,70.04,70.03,70.0,70.03,70.03,70.03,70.05,70.02,70.05,70.01,70.03,69.99 | +| sofa | 63.49,63.49,63.53,63.54,63.55,63.55,63.6,63.58,63.62,63.64,63.64,63.67,63.67,63.72,63.73,63.73,63.73,63.77,63.74,63.79 | +| shelf | 44.13,44.17,44.21,44.18,44.19,44.23,44.24,44.27,44.29,44.33,44.3,44.33,44.32,44.39,44.36,44.38,44.34,44.4,44.38,44.42 | +| house | 42.56,42.57,42.58,42.68,42.64,42.68,42.74,42.74,42.73,42.72,42.78,42.77,42.78,42.77,42.8,42.79,42.79,42.81,42.8,42.83 | +| sea | 60.44,60.43,60.43,60.41,60.4,60.39,60.38,60.36,60.32,60.33,60.29,60.29,60.26,60.27,60.25,60.27,60.24,60.24,60.22,60.2 | +| mirror | 64.49,64.52,64.54,64.55,64.57,64.58,64.67,64.68,64.67,64.69,64.69,64.67,64.75,64.69,64.76,64.72,64.79,64.76,64.84,64.8 | +| rug | 64.69,64.71,64.73,64.78,64.84,64.79,64.84,64.86,64.89,64.88,64.95,64.96,64.97,64.97,64.91,64.93,64.89,64.94,64.83,64.94 | +| field | 30.76,30.77,30.78,30.77,30.78,30.76,30.77,30.78,30.79,30.77,30.79,30.78,30.8,30.8,30.82,30.8,30.83,30.81,30.84,30.83 | +| armchair | 37.18,37.16,37.16,37.2,37.21,37.19,37.21,37.21,37.21,37.21,37.23,37.2,37.24,37.23,37.25,37.2,37.25,37.23,37.26,37.26 | +| seat | 66.31,66.32,66.35,66.31,66.33,66.36,66.32,66.38,66.38,66.35,66.36,66.29,66.4,66.28,66.42,66.26,66.41,66.25,66.43,66.26 | +| fence | 40.47,40.41,40.41,40.51,40.42,40.49,40.46,40.5,40.42,40.5,40.49,40.57,40.44,40.46,40.48,40.47,40.5,40.49,40.48,40.49 | +| desk | 46.47,46.46,46.53,46.55,46.62,46.64,46.7,46.7,46.7,46.69,46.76,46.73,46.76,46.75,46.77,46.77,46.8,46.79,46.84,46.78 | +| rock | 36.97,36.98,36.93,36.95,36.96,36.91,36.95,36.91,36.93,36.9,36.89,36.88,36.87,36.88,36.86,36.85,36.82,36.83,36.79,36.82 | +| wardrobe | 56.56,56.63,56.6,56.62,56.63,56.69,56.72,56.71,56.74,56.74,56.77,56.79,56.76,56.8,56.85,56.88,56.88,56.9,56.9,56.9 | +| lamp | 60.22,60.24,60.25,60.22,60.24,60.24,60.24,60.2,60.22,60.18,60.21,60.21,60.18,60.17,60.2,60.16,60.22,60.17,60.16,60.13 | +| bathtub | 73.6,73.62,73.51,73.54,73.59,73.53,73.53,73.55,73.5,73.52,73.51,73.64,73.54,73.61,73.55,73.65,73.6,73.63,73.61,73.63 | +| railing | 33.3,33.3,33.32,33.36,33.34,33.33,33.37,33.34,33.3,33.43,33.32,33.48,33.35,33.48,33.34,33.53,33.4,33.53,33.44,33.58 | +| cushion | 55.73,55.71,55.72,55.71,55.67,55.71,55.73,55.74,55.75,55.67,55.69,55.65,55.69,55.66,55.69,55.69,55.7,55.67,55.72,55.65 | +| base | 20.39,20.41,20.41,20.43,20.5,20.51,20.55,20.55,20.6,20.6,20.67,20.62,20.63,20.72,20.7,20.79,20.68,20.81,20.72,20.87 | +| box | 23.06,23.03,23.07,23.06,23.04,23.03,23.05,23.06,23.04,23.07,23.03,23.04,22.97,23.06,22.98,23.09,22.99,23.09,23.0,23.08 | +| column | 45.35,45.35,45.3,45.29,45.31,45.26,45.27,45.24,45.31,45.28,45.26,45.26,45.25,45.24,45.27,45.21,45.26,45.22,45.26,45.23 | +| signboard | 37.72,37.7,37.69,37.69,37.68,37.71,37.66,37.71,37.66,37.67,37.61,37.63,37.61,37.64,37.6,37.6,37.54,37.6,37.53,37.62 | +| chest of drawers | 35.9,35.95,35.96,35.89,35.85,35.95,35.89,35.88,35.97,35.93,36.0,36.01,36.06,36.06,36.11,36.08,36.1,36.1,36.09,36.14 | +| counter | 30.58,30.55,30.56,30.57,30.64,30.68,30.65,30.66,30.69,30.64,30.68,30.67,30.7,30.74,30.74,30.78,30.77,30.78,30.78,30.79 | +| sand | 43.04,43.01,43.02,43.02,43.02,43.0,42.94,43.0,42.99,42.95,42.96,42.95,42.97,42.98,42.94,42.99,42.93,42.95,42.93,42.97 | +| sink | 66.83,66.79,66.76,66.79,66.74,66.75,66.77,66.77,66.72,66.72,66.67,66.69,66.62,66.65,66.57,66.64,66.54,66.59,66.54,66.56 | +| skyscraper | 49.28,49.24,49.18,49.11,49.04,48.98,48.9,48.87,48.8,48.81,48.5,48.52,48.53,48.44,48.34,48.35,48.34,48.28,48.38,48.13 | +| fireplace | 74.78,74.77,74.81,74.74,74.83,74.79,74.88,74.82,74.91,74.9,74.93,74.92,74.98,74.9,75.05,74.93,75.04,74.99,75.02,74.98 | +| refrigerator | 74.16,74.18,74.18,74.3,74.43,74.28,74.39,74.42,74.49,74.46,74.49,74.48,74.56,74.47,74.52,74.53,74.56,74.51,74.5,74.44 | +| grandstand | 51.3,51.34,51.53,51.5,51.41,51.59,51.39,51.63,51.42,51.54,51.52,51.58,51.43,51.73,51.48,51.67,51.42,51.71,51.42,51.8 | +| path | 21.6,21.62,21.63,21.62,21.61,21.63,21.62,21.62,21.59,21.64,21.62,21.65,21.62,21.62,21.61,21.58,21.57,21.57,21.57,21.58 | +| stairs | 33.52,33.53,33.6,33.58,33.68,33.65,33.65,33.67,33.71,33.75,33.72,33.8,33.75,33.81,33.83,33.81,33.85,33.84,33.92,33.87 | +| runway | 66.15,66.13,66.12,66.19,66.14,66.15,66.16,66.18,66.17,66.21,66.18,66.17,66.15,66.19,66.16,66.19,66.14,66.18,66.11,66.16 | +| case | 47.67,47.72,47.68,47.66,47.72,47.72,47.66,47.66,47.75,47.72,47.64,47.8,47.58,47.74,47.61,47.76,47.52,47.71,47.52,47.71 | +| pool table | 91.38,91.41,91.4,91.42,91.44,91.42,91.45,91.46,91.48,91.51,91.47,91.5,91.49,91.52,91.54,91.51,91.53,91.56,91.57,91.55 | +| pillow | 60.03,60.07,60.1,60.09,60.08,60.09,60.07,60.18,60.18,60.23,60.21,60.27,60.24,60.26,60.23,60.3,60.34,60.3,60.33,60.34 | +| screen door | 67.34,67.35,67.37,67.48,67.46,67.46,67.39,67.49,67.53,67.47,67.59,67.47,67.6,67.51,67.6,67.37,67.59,67.38,67.59,67.39 | +| stairway | 24.57,24.67,24.62,24.69,24.73,24.72,24.76,24.73,24.8,24.84,24.78,24.89,24.84,24.9,24.85,24.95,24.87,25.0,24.94,25.05 | +| river | 11.92,11.92,11.94,11.93,11.95,11.96,11.95,11.96,11.97,11.96,11.97,11.97,11.97,11.96,11.98,11.96,11.98,11.96,11.98,11.95 | +| bridge | 32.3,32.23,32.28,32.28,32.31,32.3,32.31,32.31,32.43,32.34,32.38,32.35,32.39,32.39,32.43,32.39,32.44,32.4,32.45,32.44 | +| bookcase | 44.86,44.87,44.92,44.81,44.89,44.93,44.92,44.91,44.92,44.9,44.91,45.0,44.9,44.95,44.93,45.02,44.94,44.98,44.98,44.99 | +| blind | 37.18,37.2,37.31,37.24,37.19,37.33,37.24,37.34,37.22,37.32,37.25,37.45,37.23,37.5,37.29,37.66,37.32,37.68,37.41,37.81 | +| coffee table | 52.57,52.63,52.62,52.67,52.73,52.7,52.66,52.68,52.7,52.73,52.75,52.77,52.74,52.75,52.78,52.8,52.8,52.88,52.78,52.81 | +| toilet | 83.16,83.18,83.2,83.23,83.19,83.09,83.15,83.15,83.17,83.16,83.18,83.12,83.18,83.1,83.12,83.14,83.13,83.14,83.12,83.12 | +| flower | 38.7,38.73,38.71,38.66,38.66,38.71,38.66,38.72,38.65,38.65,38.59,38.65,38.62,38.62,38.6,38.58,38.58,38.58,38.57,38.59 | +| book | 45.11,45.13,45.08,45.08,45.11,45.1,45.15,45.13,45.07,45.11,45.13,45.13,45.16,45.18,45.2,45.17,45.21,45.16,45.18,45.24 | +| hill | 14.64,14.59,14.6,14.56,14.63,14.58,14.61,14.62,14.62,14.68,14.7,14.71,14.71,14.74,14.76,14.76,14.8,14.8,14.81,14.82 | +| bench | 43.3,43.28,43.29,43.27,43.26,43.26,43.25,43.21,43.22,43.22,43.16,43.23,43.19,43.13,43.16,43.15,43.18,43.16,43.19,43.09 | +| countertop | 54.36,54.3,54.34,54.39,54.32,54.36,54.36,54.41,54.36,54.41,54.32,54.45,54.41,54.44,54.37,54.45,54.38,54.49,54.34,54.43 | +| stove | 70.12,70.13,70.17,70.19,70.12,70.11,70.14,70.16,70.07,70.19,70.13,70.09,70.15,69.99,70.16,70.03,70.21,69.98,70.16,69.93 | +| palm | 48.73,48.71,48.77,48.69,48.64,48.69,48.56,48.61,48.55,48.56,48.58,48.5,48.48,48.51,48.4,48.45,48.42,48.38,48.38,48.32 | +| kitchen island | 41.61,41.7,41.67,41.83,41.83,41.86,41.94,42.01,42.08,42.04,42.02,42.07,42.13,42.2,42.26,42.31,42.34,42.46,42.42,42.53 | +| computer | 60.09,60.14,60.19,60.21,60.19,60.28,60.32,60.31,60.35,60.38,60.41,60.46,60.44,60.48,60.49,60.5,60.5,60.55,60.52,60.61 | +| swivel chair | 43.64,43.7,43.62,43.7,43.72,43.71,43.66,43.74,43.65,43.7,43.73,43.8,43.71,43.68,43.68,43.71,43.74,43.71,43.75,43.71 | +| boat | 71.67,71.59,71.6,71.6,71.54,71.57,71.52,71.52,71.5,71.45,71.46,71.38,71.41,71.39,71.35,71.33,71.26,71.3,71.27,71.28 | +| bar | 23.38,23.4,23.4,23.43,23.42,23.4,23.4,23.42,23.41,23.44,23.43,23.43,23.42,23.42,23.46,23.39,23.46,23.41,23.47,23.42 | +| arcade machine | 70.48,70.39,70.45,70.57,70.71,70.57,70.62,70.85,70.7,70.81,70.88,70.96,71.07,70.95,71.0,71.01,71.19,71.09,71.21,71.27 | +| hovel | 29.76,29.88,29.85,29.68,29.82,29.85,29.8,29.94,29.85,29.72,29.74,29.91,29.66,29.91,29.7,29.83,29.63,29.86,29.71,29.99 | +| bus | 79.19,79.14,79.08,79.14,79.08,79.08,79.05,78.99,79.04,79.0,79.07,78.99,78.98,78.98,78.93,78.93,78.92,78.89,78.89,78.83 | +| towel | 63.36,63.37,63.39,63.44,63.42,63.41,63.39,63.32,63.4,63.38,63.41,63.45,63.33,63.39,63.31,63.29,63.31,63.27,63.3,63.25 | +| light | 53.34,53.31,53.31,53.29,53.3,53.31,53.34,53.36,53.36,53.33,53.33,53.3,53.28,53.3,53.26,53.29,53.28,53.28,53.28,53.25 | +| truck | 16.61,16.63,16.49,16.47,16.53,16.55,16.53,16.39,16.5,16.49,16.34,16.41,16.45,16.4,16.38,16.38,16.21,16.33,16.26,16.34 | +| tower | 8.35,8.33,8.32,8.32,8.28,8.31,8.31,8.29,8.27,8.21,8.2,8.23,8.23,8.21,8.25,8.22,8.23,8.19,8.2,8.18 | +| chandelier | 62.65,62.65,62.68,62.66,62.7,62.71,62.71,62.7,62.7,62.8,62.76,62.87,62.8,62.87,62.86,62.93,62.94,62.94,62.92,62.93 | +| awning | 22.73,22.75,22.83,22.93,22.87,22.96,23.05,22.94,23.11,23.14,23.13,23.15,23.15,23.23,23.25,23.24,23.31,23.33,23.33,23.38 | +| streetlight | 25.0,25.05,25.04,25.07,25.06,25.05,25.05,25.08,25.12,25.03,25.07,25.05,25.04,25.06,25.06,25.05,25.07,25.03,25.09,25.08 | +| booth | 41.65,41.58,41.74,41.71,41.88,42.03,42.02,42.05,42.01,42.01,42.07,42.09,42.1,42.04,42.05,42.11,41.99,41.95,41.81,41.79 | +| television receiver | 63.2,63.3,63.27,63.32,63.32,63.39,63.46,63.38,63.41,63.42,63.46,63.49,63.54,63.48,63.52,63.55,63.57,63.62,63.57,63.63 | +| airplane | 57.67,57.71,57.63,57.65,57.71,57.58,57.6,57.63,57.54,57.48,57.54,57.46,57.49,57.46,57.46,57.43,57.36,57.35,57.33,57.31 | +| dirt track | 20.0,19.98,20.1,20.12,20.06,20.14,20.11,20.16,20.18,20.2,20.28,20.27,20.35,20.27,20.4,20.43,20.53,20.57,20.63,20.69 | +| apparel | 35.29,35.46,35.29,35.46,35.41,35.24,35.44,35.25,35.29,35.3,35.25,35.22,35.2,35.31,35.18,35.12,35.21,35.17,35.21,35.1 | +| pole | 18.16,18.07,18.05,17.99,17.88,17.71,17.58,17.56,17.5,17.38,17.33,17.24,17.19,16.96,16.9,16.79,16.74,16.54,16.6,16.44 | +| land | 2.95,2.88,2.93,2.92,2.95,2.93,3.01,2.93,3.03,2.96,3.0,2.92,3.01,2.98,2.97,3.02,3.02,3.01,3.03,3.0 | +| bannister | 10.85,10.81,10.9,10.95,11.02,10.97,10.92,10.98,11.07,11.06,11.15,11.13,11.05,11.16,11.09,11.19,11.18,11.26,11.12,11.19 | +| escalator | 23.97,24.02,24.0,24.03,24.07,24.08,24.09,24.17,24.17,24.13,24.19,24.19,24.21,24.23,24.27,24.26,24.21,24.32,24.22,24.37 | +| ottoman | 42.94,42.82,42.73,42.91,42.85,42.64,42.59,42.51,42.6,42.49,42.69,42.34,42.5,42.2,42.41,42.24,42.44,42.17,42.46,42.15 | +| bottle | 34.92,34.94,34.96,34.93,34.86,34.88,34.93,34.89,34.78,34.76,34.78,34.84,34.71,34.84,34.65,34.75,34.47,34.82,34.44,34.79 | +| buffet | 39.0,39.19,39.23,39.43,39.55,39.76,39.79,39.89,39.92,40.15,40.36,40.51,40.57,40.79,40.77,41.0,41.08,41.31,41.41,41.47 | +| poster | 22.76,22.7,22.6,22.65,22.49,22.56,22.58,22.46,22.62,22.42,22.53,22.33,22.51,22.22,22.45,22.2,22.43,22.14,22.38,22.06 | +| stage | 12.94,12.94,12.92,12.96,12.99,12.97,13.03,13.08,13.02,13.08,12.97,13.14,13.02,13.15,13.14,13.27,13.19,13.27,13.26,13.3 | +| van | 39.19,39.2,39.3,39.18,39.23,39.22,39.26,39.24,39.31,39.27,39.18,39.25,39.19,39.16,39.26,39.23,39.18,39.2,39.23,39.18 | +| ship | 80.96,81.2,81.27,81.22,81.33,81.52,81.38,81.63,81.45,81.7,81.64,81.9,81.7,81.85,81.75,81.84,81.7,81.78,81.67,81.78 | +| fountain | 20.65,20.66,20.63,20.67,20.66,20.66,20.81,20.65,20.64,20.67,20.7,20.67,20.7,20.79,20.63,20.7,20.61,20.72,20.63,20.86 | +| conveyer belt | 84.31,84.32,84.3,84.41,84.26,84.22,84.15,84.19,84.12,84.11,84.06,84.0,84.03,83.92,83.92,83.74,83.74,83.75,83.59,83.64 | +| canopy | 23.87,24.06,24.01,24.12,24.12,24.04,24.11,24.18,24.15,24.18,24.2,24.3,24.26,24.31,24.3,24.32,24.27,24.28,24.28,24.35 | +| washer | 74.94,74.92,74.99,75.01,74.98,75.13,75.16,75.13,75.26,75.28,75.21,75.28,75.29,75.39,75.37,75.42,75.46,75.44,75.51,75.53 | +| plaything | 21.03,21.0,21.02,21.05,20.98,21.08,20.94,20.97,20.93,20.92,20.91,20.95,20.88,20.91,20.87,20.86,20.82,20.87,20.77,20.83 | +| swimming pool | 73.52,73.54,73.67,73.76,73.85,73.83,73.84,73.84,74.09,74.14,74.09,74.21,74.31,74.18,74.28,74.28,74.36,74.28,74.35,74.29 | +| stool | 43.48,43.45,43.59,43.63,43.62,43.58,43.66,43.69,43.7,43.75,43.73,43.68,43.73,43.8,43.76,43.79,43.79,43.66,43.7,43.65 | +| barrel | 38.59,38.22,38.16,38.02,37.76,37.63,37.47,37.44,37.59,37.42,37.57,36.98,37.14,36.65,37.06,36.86,36.57,36.5,36.37,36.15 | +| basket | 23.86,23.91,23.91,23.85,23.87,23.83,23.91,23.9,23.89,23.81,23.83,23.84,23.87,23.89,23.79,23.88,23.78,23.87,23.84,23.89 | +| waterfall | 49.89,49.88,49.76,49.73,49.82,49.81,49.76,49.74,49.69,49.72,49.69,49.67,49.68,49.55,49.58,49.55,49.48,49.48,49.46,49.46 | +| tent | 94.11,94.13,94.13,94.1,94.09,94.11,94.07,94.07,94.1,94.06,94.09,94.04,94.09,94.08,94.06,94.01,94.03,93.97,94.0,93.99 | +| bag | 15.52,15.47,15.41,15.5,15.46,15.45,15.44,15.46,15.44,15.47,15.47,15.47,15.52,15.54,15.56,15.59,15.57,15.66,15.6,15.65 | +| minibike | 62.69,62.79,62.68,62.78,62.81,62.8,62.78,62.78,62.85,62.84,62.86,62.89,62.72,62.92,62.87,62.87,62.87,62.9,62.92,62.94 | +| cradle | 83.39,83.34,83.37,83.36,83.35,83.39,83.41,83.38,83.41,83.39,83.38,83.41,83.37,83.4,83.38,83.39,83.37,83.4,83.38,83.38 | +| oven | 49.61,49.54,49.56,49.67,49.58,49.51,49.38,49.58,49.39,49.43,49.35,49.42,49.33,49.35,49.26,49.21,49.22,49.19,49.1,49.13 | +| ball | 47.17,47.2,47.13,47.3,47.36,47.39,47.46,47.43,47.53,47.57,47.48,47.66,47.51,47.62,47.55,47.64,47.64,47.65,47.68,47.75 | +| food | 54.25,54.2,54.36,54.38,54.37,54.45,54.48,54.56,54.56,54.52,54.59,54.58,54.56,54.68,54.68,54.68,54.64,54.7,54.67,54.72 | +| step | 5.34,5.27,5.3,5.1,5.22,5.07,5.05,5.09,5.07,5.0,4.98,5.09,5.02,4.95,5.04,4.96,5.05,4.97,5.02,4.91 | +| tank | 51.26,51.27,51.18,51.12,51.04,51.02,51.02,50.95,50.9,50.95,50.84,50.82,50.78,50.76,50.67,50.63,50.56,50.53,50.48,50.5 | +| trade name | 27.51,27.59,27.59,27.62,27.65,27.53,27.6,27.65,27.72,27.64,27.68,27.7,27.71,27.74,27.77,27.83,27.82,27.84,27.86,27.9 | +| microwave | 76.02,75.98,76.03,76.11,76.12,76.03,75.98,76.13,76.08,76.13,76.03,76.05,76.06,76.08,75.99,76.05,76.05,76.02,75.99,75.99 | +| pot | 30.63,30.67,30.71,30.76,30.77,30.78,30.87,30.82,30.83,30.98,31.0,31.02,31.05,31.06,31.11,31.12,31.19,31.21,31.22,31.32 | +| animal | 55.46,55.43,55.5,55.53,55.51,55.54,55.56,55.59,55.59,55.59,55.61,55.62,55.61,55.66,55.62,55.66,55.65,55.67,55.68,55.68 | +| bicycle | 53.21,53.27,53.21,53.25,53.31,53.38,53.41,53.37,53.51,53.54,53.43,53.52,53.59,53.48,53.63,53.64,53.59,53.75,53.69,53.73 | +| lake | 56.58,56.57,56.55,56.57,56.55,56.55,56.57,56.55,56.58,56.53,56.52,56.52,56.53,56.55,56.48,56.53,56.47,56.51,56.48,56.52 | +| dishwasher | 63.88,63.7,63.73,63.62,63.58,63.43,63.37,63.43,63.41,63.32,63.18,63.28,63.02,63.29,62.94,63.1,62.93,63.07,62.96,63.11 | +| screen | 65.92,65.71,65.6,65.36,65.63,65.49,65.54,65.51,65.4,65.51,65.47,65.35,65.44,65.41,65.43,65.39,65.41,65.37,65.37,65.36 | +| blanket | 17.91,17.92,17.93,17.87,17.82,17.87,17.76,17.7,17.68,17.67,17.63,17.58,17.51,17.5,17.44,17.35,17.35,17.27,17.24,17.18 | +| sculpture | 58.31,58.3,58.15,58.12,58.17,58.1,57.96,57.83,57.97,57.77,57.77,57.68,57.6,57.53,57.59,57.46,57.49,57.29,57.38,57.14 | +| hood | 56.86,56.81,56.98,56.83,57.02,56.97,56.92,57.08,56.93,57.06,57.01,57.07,57.02,57.1,56.98,57.07,56.91,57.06,56.84,57.01 | +| sconce | 41.88,41.77,41.89,42.0,42.0,41.94,42.03,42.05,41.99,41.94,42.0,42.06,42.11,42.07,42.17,42.07,42.22,42.11,42.19,42.1 | +| vase | 36.35,36.46,36.36,36.36,36.4,36.48,36.54,36.43,36.46,36.43,36.44,36.41,36.4,36.41,36.47,36.43,36.43,36.44,36.4,36.43 | +| traffic light | 32.31,32.29,32.28,32.41,32.43,32.39,32.33,32.35,32.35,32.39,32.47,32.4,32.44,32.5,32.44,32.45,32.42,32.5,32.49,32.55 | +| tray | 5.73,5.73,5.79,5.81,5.87,5.91,5.88,6.01,6.1,6.14,6.11,6.14,6.17,6.23,6.24,6.29,6.3,6.39,6.45,6.47 | +| ashcan | 41.33,41.34,41.29,41.31,41.36,41.49,41.34,41.5,41.4,41.63,41.58,41.56,41.7,41.47,41.7,41.48,41.64,41.5,41.63,41.52 | +| fan | 56.25,56.25,56.34,56.23,56.26,56.3,56.28,56.36,56.29,56.38,56.26,56.35,56.34,56.33,56.42,56.4,56.4,56.47,56.47,56.47 | +| pier | 51.05,50.99,51.27,51.13,51.19,51.28,51.2,51.3,51.6,51.58,51.69,51.72,51.82,51.99,51.78,52.04,52.17,52.13,52.08,52.15 | +| crt screen | 7.17,7.32,7.43,7.5,7.6,7.56,7.61,7.71,7.73,7.81,7.88,7.9,7.95,8.06,8.09,8.19,8.28,8.26,8.35,8.39 | +| plate | 50.93,50.89,50.97,50.9,51.03,51.0,51.0,51.01,51.05,51.09,51.12,51.05,51.19,51.12,51.17,51.11,51.27,51.19,51.27,51.2 | +| monitor | 17.76,17.83,17.79,17.72,17.63,17.57,17.53,17.5,17.43,17.38,17.22,17.21,17.07,17.09,16.89,16.97,16.87,16.86,16.72,16.66 | +| bulletin board | 39.0,39.1,39.09,39.1,39.45,39.49,39.33,39.51,39.49,39.76,39.56,39.97,39.83,39.87,39.87,40.13,40.07,40.0,40.23,40.32 | +| shower | 1.25,1.24,1.28,1.26,1.33,1.35,1.3,1.34,1.32,1.32,1.36,1.37,1.35,1.36,1.41,1.36,1.38,1.32,1.4,1.35 | +| radiator | 59.74,59.81,59.99,60.09,59.98,60.27,60.31,60.38,60.49,60.64,60.52,60.71,60.71,60.93,60.88,61.05,60.95,61.23,61.06,61.4 | +| glass | 12.68,12.7,12.66,12.66,12.69,12.78,12.73,12.69,12.65,12.67,12.67,12.65,12.69,12.59,12.74,12.57,12.7,12.55,12.68,12.54 | +| clock | 33.14,33.38,33.41,33.15,33.22,33.33,33.35,33.57,33.23,33.38,33.32,33.36,33.35,33.34,33.19,33.41,33.2,33.24,33.11,33.2 | +| flag | 35.69,35.72,35.65,35.66,35.64,35.75,35.79,35.8,35.77,35.89,35.89,35.84,35.84,35.91,35.92,35.91,35.92,35.94,35.96,36.01 | ++---------------------+-------------------------------------------------------------------------------------------------------------------------+ +2023-03-04 02:10:41,492 - mmseg - INFO - Summary: +2023-03-04 02:10:41,492 - mmseg - INFO - ++------------------------------------------------------------------------------------------------------------------------+ +| mIoU 0,1,2,3,4,5,6,7,8,9,10,11,12,13,14,15,16,17,18,19 | ++------------------------------------------------------------------------------------------------------------------------+ +| 48.1,48.11,48.12,48.13,48.14,48.14,48.14,48.15,48.16,48.17,48.16,48.17,48.17,48.18,48.17,48.18,48.17,48.18,48.17,48.19 | ++------------------------------------------------------------------------------------------------------------------------+ +2023-03-04 02:10:42,459 - mmseg - INFO - Now best checkpoint is saved as best_mIoU_iter_16000.pth. +2023-03-04 02:10:42,459 - mmseg - INFO - Best mIoU is 0.4819 at 16000 iter. +2023-03-04 02:10:42,459 - mmseg - INFO - Exp name: ablation_segformer_mit_b2_segformer_head_unet_fc_small_multi_step_ade_pretrained_freeze_embed_160k_ade20k151_finetune_ema_t20.py +2023-03-04 02:10:42,460 - mmseg - INFO - Iter(val) [250] mIoU: [0.481, 0.4811, 0.4812, 0.4813, 0.4814, 0.4814, 0.4814, 0.4815, 0.4816, 0.4817, 0.4816, 0.4817, 0.4817, 0.4818, 0.4817, 0.4818, 0.4817, 0.4818, 0.4817, 0.4819], copy_paste: 48.1,48.11,48.12,48.13,48.14,48.14,48.14,48.15,48.16,48.17,48.16,48.17,48.17,48.18,48.17,48.18,48.17,48.18,48.17,48.19 +2023-03-04 02:10:42,466 - mmseg - INFO - Swap parameters (before train) before iter [16001] +2023-03-04 02:10:52,473 - mmseg - INFO - Iter [16050/160000] lr: 1.500e-04, eta: 8:53:42, time: 8.144, data_time: 7.951, memory: 59439, decode.loss_ce: 0.2102, decode.acc_seg: 91.5725, loss: 0.2102 +2023-03-04 02:11:02,447 - mmseg - INFO - Iter [16100/160000] lr: 1.500e-04, eta: 8:53:21, time: 0.199, data_time: 0.007, memory: 59439, decode.loss_ce: 0.2243, decode.acc_seg: 90.8789, loss: 0.2243 +2023-03-04 02:11:12,676 - mmseg - INFO - Iter [16150/160000] lr: 1.500e-04, eta: 8:53:02, time: 0.205, data_time: 0.007, memory: 59439, decode.loss_ce: 0.2184, decode.acc_seg: 91.0207, loss: 0.2184 +2023-03-04 02:11:22,596 - mmseg - INFO - Iter [16200/160000] lr: 1.500e-04, eta: 8:52:40, time: 0.198, data_time: 0.007, memory: 59439, decode.loss_ce: 0.2065, decode.acc_seg: 91.5934, loss: 0.2065 +2023-03-04 02:11:32,475 - mmseg - INFO - Iter [16250/160000] lr: 1.500e-04, eta: 8:52:18, time: 0.198, data_time: 0.008, memory: 59439, decode.loss_ce: 0.2090, decode.acc_seg: 91.5112, loss: 0.2090 +2023-03-04 02:11:42,095 - mmseg - INFO - Iter [16300/160000] lr: 1.500e-04, eta: 8:51:54, time: 0.192, data_time: 0.008, memory: 59439, decode.loss_ce: 0.2092, decode.acc_seg: 91.2480, loss: 0.2092 +2023-03-04 02:11:51,768 - mmseg - INFO - Iter [16350/160000] lr: 1.500e-04, eta: 8:51:30, time: 0.193, data_time: 0.008, memory: 59439, decode.loss_ce: 0.2202, decode.acc_seg: 90.9532, loss: 0.2202 +2023-03-04 02:12:01,353 - mmseg - INFO - Iter [16400/160000] lr: 1.500e-04, eta: 8:51:06, time: 0.192, data_time: 0.008, memory: 59439, decode.loss_ce: 0.2182, decode.acc_seg: 91.1869, loss: 0.2182 +2023-03-04 02:12:13,390 - mmseg - INFO - Iter [16450/160000] lr: 1.500e-04, eta: 8:51:03, time: 0.241, data_time: 0.055, memory: 59439, decode.loss_ce: 0.2249, decode.acc_seg: 90.7597, loss: 0.2249 +2023-03-04 02:12:23,129 - mmseg - INFO - Iter [16500/160000] lr: 1.500e-04, eta: 8:50:40, time: 0.195, data_time: 0.007, memory: 59439, decode.loss_ce: 0.2121, decode.acc_seg: 91.3567, loss: 0.2121 +2023-03-04 02:12:32,923 - mmseg - INFO - Iter [16550/160000] lr: 1.500e-04, eta: 8:50:17, time: 0.196, data_time: 0.007, memory: 59439, decode.loss_ce: 0.2178, decode.acc_seg: 91.0596, loss: 0.2178 +2023-03-04 02:12:42,806 - mmseg - INFO - Iter [16600/160000] lr: 1.500e-04, eta: 8:49:56, time: 0.197, data_time: 0.008, memory: 59439, decode.loss_ce: 0.2074, decode.acc_seg: 91.4250, loss: 0.2074 +2023-03-04 02:12:52,709 - mmseg - INFO - Iter [16650/160000] lr: 1.500e-04, eta: 8:49:35, time: 0.198, data_time: 0.008, memory: 59439, decode.loss_ce: 0.2097, decode.acc_seg: 91.4289, loss: 0.2097 +2023-03-04 02:13:02,337 - mmseg - INFO - Iter [16700/160000] lr: 1.500e-04, eta: 8:49:11, time: 0.193, data_time: 0.007, memory: 59439, decode.loss_ce: 0.2108, decode.acc_seg: 91.5657, loss: 0.2108 +2023-03-04 02:13:12,375 - mmseg - INFO - Iter [16750/160000] lr: 1.500e-04, eta: 8:48:51, time: 0.201, data_time: 0.008, memory: 59439, decode.loss_ce: 0.2120, decode.acc_seg: 91.4279, loss: 0.2120 +2023-03-04 02:13:21,991 - mmseg - INFO - Iter [16800/160000] lr: 1.500e-04, eta: 8:48:28, time: 0.193, data_time: 0.008, memory: 59439, decode.loss_ce: 0.2120, decode.acc_seg: 91.2571, loss: 0.2120 +2023-03-04 02:13:31,610 - mmseg - INFO - Iter [16850/160000] lr: 1.500e-04, eta: 8:48:04, time: 0.192, data_time: 0.007, memory: 59439, decode.loss_ce: 0.2091, decode.acc_seg: 91.3276, loss: 0.2091 +2023-03-04 02:13:41,171 - mmseg - INFO - Iter [16900/160000] lr: 1.500e-04, eta: 8:47:40, time: 0.191, data_time: 0.007, memory: 59439, decode.loss_ce: 0.2116, decode.acc_seg: 91.2714, loss: 0.2116 +2023-03-04 02:13:50,802 - mmseg - INFO - Iter [16950/160000] lr: 1.500e-04, eta: 8:47:17, time: 0.193, data_time: 0.007, memory: 59439, decode.loss_ce: 0.2175, decode.acc_seg: 91.2865, loss: 0.2175 +2023-03-04 02:14:00,447 - mmseg - INFO - Exp name: ablation_segformer_mit_b2_segformer_head_unet_fc_small_multi_step_ade_pretrained_freeze_embed_160k_ade20k151_finetune_ema_t20.py +2023-03-04 02:14:00,448 - mmseg - INFO - Iter [17000/160000] lr: 1.500e-04, eta: 8:46:54, time: 0.193, data_time: 0.008, memory: 59439, decode.loss_ce: 0.2047, decode.acc_seg: 91.5881, loss: 0.2047 +2023-03-04 02:14:12,450 - mmseg - INFO - Iter [17050/160000] lr: 1.500e-04, eta: 8:46:51, time: 0.240, data_time: 0.054, memory: 59439, decode.loss_ce: 0.2078, decode.acc_seg: 91.5353, loss: 0.2078 +2023-03-04 02:14:22,171 - mmseg - INFO - Iter [17100/160000] lr: 1.500e-04, eta: 8:46:29, time: 0.194, data_time: 0.008, memory: 59439, decode.loss_ce: 0.2115, decode.acc_seg: 91.4480, loss: 0.2115 +2023-03-04 02:14:31,663 - mmseg - INFO - Iter [17150/160000] lr: 1.500e-04, eta: 8:46:05, time: 0.190, data_time: 0.007, memory: 59439, decode.loss_ce: 0.2016, decode.acc_seg: 91.6105, loss: 0.2016 +2023-03-04 02:14:41,712 - mmseg - INFO - Iter [17200/160000] lr: 1.500e-04, eta: 8:45:45, time: 0.201, data_time: 0.007, memory: 59439, decode.loss_ce: 0.2211, decode.acc_seg: 91.1899, loss: 0.2211 +2023-03-04 02:14:51,291 - mmseg - INFO - Iter [17250/160000] lr: 1.500e-04, eta: 8:45:22, time: 0.192, data_time: 0.007, memory: 59439, decode.loss_ce: 0.2055, decode.acc_seg: 91.5698, loss: 0.2055 +2023-03-04 02:15:00,777 - mmseg - INFO - Iter [17300/160000] lr: 1.500e-04, eta: 8:44:58, time: 0.190, data_time: 0.008, memory: 59439, decode.loss_ce: 0.2081, decode.acc_seg: 91.4151, loss: 0.2081 +2023-03-04 02:15:10,332 - mmseg - INFO - Iter [17350/160000] lr: 1.500e-04, eta: 8:44:35, time: 0.191, data_time: 0.008, memory: 59439, decode.loss_ce: 0.2032, decode.acc_seg: 91.6889, loss: 0.2032 +2023-03-04 02:15:19,975 - mmseg - INFO - Iter [17400/160000] lr: 1.500e-04, eta: 8:44:13, time: 0.193, data_time: 0.007, memory: 59439, decode.loss_ce: 0.2240, decode.acc_seg: 90.8440, loss: 0.2240 +2023-03-04 02:15:29,683 - mmseg - INFO - Iter [17450/160000] lr: 1.500e-04, eta: 8:43:51, time: 0.194, data_time: 0.008, memory: 59439, decode.loss_ce: 0.2101, decode.acc_seg: 91.4818, loss: 0.2101 +2023-03-04 02:15:39,214 - mmseg - INFO - Iter [17500/160000] lr: 1.500e-04, eta: 8:43:28, time: 0.191, data_time: 0.007, memory: 59439, decode.loss_ce: 0.2100, decode.acc_seg: 91.2673, loss: 0.2100 +2023-03-04 02:15:48,848 - mmseg - INFO - Iter [17550/160000] lr: 1.500e-04, eta: 8:43:05, time: 0.193, data_time: 0.007, memory: 59439, decode.loss_ce: 0.2001, decode.acc_seg: 91.7872, loss: 0.2001 +2023-03-04 02:15:58,500 - mmseg - INFO - Iter [17600/160000] lr: 1.500e-04, eta: 8:42:43, time: 0.193, data_time: 0.007, memory: 59439, decode.loss_ce: 0.2103, decode.acc_seg: 91.6034, loss: 0.2103 +2023-03-04 02:16:08,250 - mmseg - INFO - Iter [17650/160000] lr: 1.500e-04, eta: 8:42:22, time: 0.195, data_time: 0.007, memory: 59439, decode.loss_ce: 0.2113, decode.acc_seg: 91.2457, loss: 0.2113 +2023-03-04 02:16:20,436 - mmseg - INFO - Iter [17700/160000] lr: 1.500e-04, eta: 8:42:21, time: 0.244, data_time: 0.055, memory: 59439, decode.loss_ce: 0.2136, decode.acc_seg: 91.4322, loss: 0.2136 +2023-03-04 02:16:30,001 - mmseg - INFO - Iter [17750/160000] lr: 1.500e-04, eta: 8:41:58, time: 0.191, data_time: 0.007, memory: 59439, decode.loss_ce: 0.2068, decode.acc_seg: 91.5392, loss: 0.2068 +2023-03-04 02:16:39,574 - mmseg - INFO - Iter [17800/160000] lr: 1.500e-04, eta: 8:41:36, time: 0.191, data_time: 0.007, memory: 59439, decode.loss_ce: 0.2075, decode.acc_seg: 91.5333, loss: 0.2075 +2023-03-04 02:16:49,172 - mmseg - INFO - Iter [17850/160000] lr: 1.500e-04, eta: 8:41:13, time: 0.192, data_time: 0.008, memory: 59439, decode.loss_ce: 0.2106, decode.acc_seg: 91.4432, loss: 0.2106 +2023-03-04 02:16:58,791 - mmseg - INFO - Iter [17900/160000] lr: 1.500e-04, eta: 8:40:51, time: 0.192, data_time: 0.007, memory: 59439, decode.loss_ce: 0.2146, decode.acc_seg: 91.3067, loss: 0.2146 +2023-03-04 02:17:08,530 - mmseg - INFO - Iter [17950/160000] lr: 1.500e-04, eta: 8:40:30, time: 0.195, data_time: 0.007, memory: 59439, decode.loss_ce: 0.2050, decode.acc_seg: 91.6350, loss: 0.2050 +2023-03-04 02:17:18,071 - mmseg - INFO - Exp name: ablation_segformer_mit_b2_segformer_head_unet_fc_small_multi_step_ade_pretrained_freeze_embed_160k_ade20k151_finetune_ema_t20.py +2023-03-04 02:17:18,072 - mmseg - INFO - Iter [18000/160000] lr: 1.500e-04, eta: 8:40:08, time: 0.191, data_time: 0.008, memory: 59439, decode.loss_ce: 0.2072, decode.acc_seg: 91.5374, loss: 0.2072 +2023-03-04 02:17:27,725 - mmseg - INFO - Iter [18050/160000] lr: 1.500e-04, eta: 8:39:46, time: 0.193, data_time: 0.007, memory: 59439, decode.loss_ce: 0.2108, decode.acc_seg: 91.3473, loss: 0.2108 +2023-03-04 02:17:37,372 - mmseg - INFO - Iter [18100/160000] lr: 1.500e-04, eta: 8:39:25, time: 0.193, data_time: 0.007, memory: 59439, decode.loss_ce: 0.2095, decode.acc_seg: 91.4013, loss: 0.2095 +2023-03-04 02:17:46,978 - mmseg - INFO - Iter [18150/160000] lr: 1.500e-04, eta: 8:39:03, time: 0.192, data_time: 0.007, memory: 59439, decode.loss_ce: 0.2091, decode.acc_seg: 91.3273, loss: 0.2091 +2023-03-04 02:17:56,475 - mmseg - INFO - Iter [18200/160000] lr: 1.500e-04, eta: 8:38:41, time: 0.190, data_time: 0.007, memory: 59439, decode.loss_ce: 0.2143, decode.acc_seg: 91.2215, loss: 0.2143 +2023-03-04 02:18:06,034 - mmseg - INFO - Iter [18250/160000] lr: 1.500e-04, eta: 8:38:19, time: 0.191, data_time: 0.007, memory: 59439, decode.loss_ce: 0.2217, decode.acc_seg: 91.1024, loss: 0.2217 +2023-03-04 02:18:18,049 - mmseg - INFO - Iter [18300/160000] lr: 1.500e-04, eta: 8:38:16, time: 0.240, data_time: 0.055, memory: 59439, decode.loss_ce: 0.2083, decode.acc_seg: 91.4782, loss: 0.2083 +2023-03-04 02:18:27,954 - mmseg - INFO - Iter [18350/160000] lr: 1.500e-04, eta: 8:37:57, time: 0.198, data_time: 0.007, memory: 59439, decode.loss_ce: 0.2112, decode.acc_seg: 91.2342, loss: 0.2112 +2023-03-04 02:18:37,704 - mmseg - INFO - Iter [18400/160000] lr: 1.500e-04, eta: 8:37:36, time: 0.195, data_time: 0.008, memory: 59439, decode.loss_ce: 0.2124, decode.acc_seg: 91.5059, loss: 0.2124 +2023-03-04 02:18:47,310 - mmseg - INFO - Iter [18450/160000] lr: 1.500e-04, eta: 8:37:15, time: 0.192, data_time: 0.007, memory: 59439, decode.loss_ce: 0.2154, decode.acc_seg: 91.3179, loss: 0.2154 +2023-03-04 02:18:56,789 - mmseg - INFO - Iter [18500/160000] lr: 1.500e-04, eta: 8:36:53, time: 0.190, data_time: 0.007, memory: 59439, decode.loss_ce: 0.2112, decode.acc_seg: 91.3873, loss: 0.2112 +2023-03-04 02:19:06,492 - mmseg - INFO - Iter [18550/160000] lr: 1.500e-04, eta: 8:36:32, time: 0.194, data_time: 0.007, memory: 59439, decode.loss_ce: 0.2078, decode.acc_seg: 91.5181, loss: 0.2078 +2023-03-04 02:19:16,315 - mmseg - INFO - Iter [18600/160000] lr: 1.500e-04, eta: 8:36:13, time: 0.197, data_time: 0.008, memory: 59439, decode.loss_ce: 0.2125, decode.acc_seg: 91.3534, loss: 0.2125 +2023-03-04 02:19:25,991 - mmseg - INFO - Iter [18650/160000] lr: 1.500e-04, eta: 8:35:52, time: 0.194, data_time: 0.008, memory: 59439, decode.loss_ce: 0.2134, decode.acc_seg: 91.2281, loss: 0.2134 +2023-03-04 02:19:35,671 - mmseg - INFO - Iter [18700/160000] lr: 1.500e-04, eta: 8:35:31, time: 0.194, data_time: 0.007, memory: 59439, decode.loss_ce: 0.2078, decode.acc_seg: 91.3962, loss: 0.2078 +2023-03-04 02:19:45,491 - mmseg - INFO - Iter [18750/160000] lr: 1.500e-04, eta: 8:35:12, time: 0.196, data_time: 0.007, memory: 59439, decode.loss_ce: 0.2115, decode.acc_seg: 91.5587, loss: 0.2115 +2023-03-04 02:19:55,176 - mmseg - INFO - Iter [18800/160000] lr: 1.500e-04, eta: 8:34:52, time: 0.194, data_time: 0.007, memory: 59439, decode.loss_ce: 0.2118, decode.acc_seg: 91.4150, loss: 0.2118 +2023-03-04 02:20:04,838 - mmseg - INFO - Iter [18850/160000] lr: 1.500e-04, eta: 8:34:31, time: 0.193, data_time: 0.007, memory: 59439, decode.loss_ce: 0.2052, decode.acc_seg: 91.7805, loss: 0.2052 +2023-03-04 02:20:14,572 - mmseg - INFO - Iter 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1.500e-04, eta: 8:33:06, time: 0.194, data_time: 0.007, memory: 59439, decode.loss_ce: 0.2120, decode.acc_seg: 91.3207, loss: 0.2120 +2023-03-04 02:21:05,215 - mmseg - INFO - Iter [19150/160000] lr: 1.500e-04, eta: 8:32:47, time: 0.195, data_time: 0.007, memory: 59439, decode.loss_ce: 0.2100, decode.acc_seg: 91.4873, loss: 0.2100 +2023-03-04 02:21:14,771 - mmseg - INFO - Iter [19200/160000] lr: 1.500e-04, eta: 8:32:26, time: 0.191, data_time: 0.007, memory: 59439, decode.loss_ce: 0.2136, decode.acc_seg: 91.3987, loss: 0.2136 +2023-03-04 02:21:24,584 - mmseg - INFO - Iter [19250/160000] lr: 1.500e-04, eta: 8:32:07, time: 0.196, data_time: 0.007, memory: 59439, decode.loss_ce: 0.2114, decode.acc_seg: 91.2523, loss: 0.2114 +2023-03-04 02:21:34,176 - mmseg - INFO - Iter [19300/160000] lr: 1.500e-04, eta: 8:31:46, time: 0.192, data_time: 0.007, memory: 59439, decode.loss_ce: 0.2177, decode.acc_seg: 91.0437, loss: 0.2177 +2023-03-04 02:21:43,710 - mmseg - INFO - Iter [19350/160000] lr: 1.500e-04, eta: 8:31:25, time: 0.191, data_time: 0.007, memory: 59439, decode.loss_ce: 0.2093, decode.acc_seg: 91.4703, loss: 0.2093 +2023-03-04 02:21:53,341 - mmseg - INFO - Iter [19400/160000] lr: 1.500e-04, eta: 8:31:05, time: 0.193, data_time: 0.007, memory: 59439, decode.loss_ce: 0.2053, decode.acc_seg: 91.5620, loss: 0.2053 +2023-03-04 02:22:03,067 - mmseg - INFO - Iter [19450/160000] lr: 1.500e-04, eta: 8:30:46, time: 0.195, data_time: 0.007, memory: 59439, decode.loss_ce: 0.2020, decode.acc_seg: 91.7754, loss: 0.2020 +2023-03-04 02:22:12,782 - mmseg - INFO - Iter [19500/160000] lr: 1.500e-04, eta: 8:30:26, time: 0.194, data_time: 0.007, memory: 59439, decode.loss_ce: 0.2101, decode.acc_seg: 91.4298, loss: 0.2101 +2023-03-04 02:22:22,292 - mmseg - INFO - Iter [19550/160000] lr: 1.500e-04, eta: 8:30:06, time: 0.190, data_time: 0.007, memory: 59439, decode.loss_ce: 0.2185, decode.acc_seg: 91.1765, loss: 0.2185 +2023-03-04 02:22:34,714 - mmseg - INFO - Iter [19600/160000] lr: 1.500e-04, eta: 8:30:06, time: 0.248, data_time: 0.053, memory: 59439, decode.loss_ce: 0.2136, decode.acc_seg: 91.2924, loss: 0.2136 +2023-03-04 02:22:44,314 - mmseg - INFO - Iter [19650/160000] lr: 1.500e-04, eta: 8:29:45, time: 0.192, data_time: 0.007, memory: 59439, decode.loss_ce: 0.2084, decode.acc_seg: 91.4204, loss: 0.2084 +2023-03-04 02:22:54,518 - mmseg - INFO - Iter [19700/160000] lr: 1.500e-04, eta: 8:29:30, time: 0.204, data_time: 0.008, memory: 59439, decode.loss_ce: 0.2136, decode.acc_seg: 91.4297, loss: 0.2136 +2023-03-04 02:23:04,203 - mmseg - INFO - Iter [19750/160000] lr: 1.500e-04, eta: 8:29:10, time: 0.194, data_time: 0.007, memory: 59439, decode.loss_ce: 0.2124, decode.acc_seg: 91.1785, loss: 0.2124 +2023-03-04 02:23:13,760 - mmseg - INFO - Iter [19800/160000] lr: 1.500e-04, eta: 8:28:50, time: 0.191, data_time: 0.008, memory: 59439, decode.loss_ce: 0.2049, decode.acc_seg: 91.5706, loss: 0.2049 +2023-03-04 02:23:23,263 - mmseg - INFO - Iter [19850/160000] lr: 1.500e-04, eta: 8:28:29, time: 0.190, data_time: 0.007, memory: 59439, decode.loss_ce: 0.2009, decode.acc_seg: 91.6991, loss: 0.2009 +2023-03-04 02:23:32,729 - mmseg - INFO - Iter [19900/160000] lr: 1.500e-04, eta: 8:28:08, time: 0.189, data_time: 0.007, memory: 59439, decode.loss_ce: 0.2075, decode.acc_seg: 91.6124, loss: 0.2075 +2023-03-04 02:23:42,280 - mmseg - INFO - Iter [19950/160000] lr: 1.500e-04, eta: 8:27:48, time: 0.191, data_time: 0.007, memory: 59439, decode.loss_ce: 0.2045, decode.acc_seg: 91.6132, loss: 0.2045 +2023-03-04 02:23:51,763 - mmseg - INFO - Exp name: ablation_segformer_mit_b2_segformer_head_unet_fc_small_multi_step_ade_pretrained_freeze_embed_160k_ade20k151_finetune_ema_t20.py +2023-03-04 02:23:51,763 - mmseg - INFO - Iter [20000/160000] lr: 1.500e-04, eta: 8:27:27, time: 0.190, data_time: 0.007, memory: 59439, decode.loss_ce: 0.2081, decode.acc_seg: 91.3713, loss: 0.2081 +2023-03-04 02:24:01,269 - mmseg - INFO - Iter [20050/160000] lr: 1.500e-04, eta: 8:27:07, time: 0.190, data_time: 0.007, memory: 59439, decode.loss_ce: 0.2113, decode.acc_seg: 91.3123, loss: 0.2113 +2023-03-04 02:24:10,822 - mmseg - INFO - Iter [20100/160000] lr: 1.500e-04, eta: 8:26:47, time: 0.191, data_time: 0.007, memory: 59439, decode.loss_ce: 0.2119, decode.acc_seg: 91.2975, loss: 0.2119 +2023-03-04 02:24:20,622 - mmseg - INFO - Iter [20150/160000] lr: 1.500e-04, eta: 8:26:29, time: 0.196, data_time: 0.007, memory: 59439, decode.loss_ce: 0.2087, decode.acc_seg: 91.4724, loss: 0.2087 +2023-03-04 02:24:32,831 - mmseg - INFO - Iter [20200/160000] lr: 1.500e-04, eta: 8:26:27, time: 0.244, data_time: 0.053, memory: 59439, decode.loss_ce: 0.2096, decode.acc_seg: 91.4555, loss: 0.2096 +2023-03-04 02:24:42,612 - mmseg - INFO - Iter [20250/160000] lr: 1.500e-04, eta: 8:26:09, time: 0.196, data_time: 0.007, memory: 59439, decode.loss_ce: 0.2059, decode.acc_seg: 91.5493, loss: 0.2059 +2023-03-04 02:24:52,207 - mmseg - INFO - Iter [20300/160000] lr: 1.500e-04, eta: 8:25:49, time: 0.192, data_time: 0.007, memory: 59439, decode.loss_ce: 0.2068, decode.acc_seg: 91.5041, loss: 0.2068 +2023-03-04 02:25:01,687 - mmseg - INFO - Iter [20350/160000] lr: 1.500e-04, eta: 8:25:29, time: 0.190, data_time: 0.007, memory: 59439, decode.loss_ce: 0.2076, decode.acc_seg: 91.4553, loss: 0.2076 +2023-03-04 02:25:11,329 - mmseg - INFO - Iter [20400/160000] lr: 1.500e-04, eta: 8:25:09, time: 0.193, data_time: 0.007, memory: 59439, decode.loss_ce: 0.2102, decode.acc_seg: 91.4714, loss: 0.2102 +2023-03-04 02:25:21,269 - mmseg - INFO - Iter [20450/160000] lr: 1.500e-04, eta: 8:24:52, time: 0.199, data_time: 0.007, memory: 59439, decode.loss_ce: 0.2048, decode.acc_seg: 91.5819, loss: 0.2048 +2023-03-04 02:25:30,880 - mmseg - INFO - Iter [20500/160000] lr: 1.500e-04, eta: 8:24:33, time: 0.192, data_time: 0.007, memory: 59439, decode.loss_ce: 0.2147, decode.acc_seg: 91.2585, loss: 0.2147 +2023-03-04 02:25:40,354 - mmseg - INFO - Iter [20550/160000] lr: 1.500e-04, eta: 8:24:13, time: 0.189, data_time: 0.007, memory: 59439, decode.loss_ce: 0.2137, decode.acc_seg: 91.1719, loss: 0.2137 +2023-03-04 02:25:50,192 - mmseg - INFO - Iter [20600/160000] lr: 1.500e-04, eta: 8:23:55, time: 0.197, data_time: 0.007, memory: 59439, decode.loss_ce: 0.2107, decode.acc_seg: 91.4293, loss: 0.2107 +2023-03-04 02:25:59,826 - mmseg - INFO - Iter [20650/160000] lr: 1.500e-04, eta: 8:23:36, time: 0.193, data_time: 0.007, memory: 59439, decode.loss_ce: 0.2012, decode.acc_seg: 91.7325, loss: 0.2012 +2023-03-04 02:26:09,686 - mmseg - INFO - Iter [20700/160000] lr: 1.500e-04, eta: 8:23:19, time: 0.197, data_time: 0.007, memory: 59439, decode.loss_ce: 0.2148, decode.acc_seg: 91.3692, loss: 0.2148 +2023-03-04 02:26:20,080 - mmseg - INFO - Iter [20750/160000] lr: 1.500e-04, eta: 8:23:05, time: 0.208, data_time: 0.008, memory: 59439, decode.loss_ce: 0.2071, decode.acc_seg: 91.5951, loss: 0.2071 +2023-03-04 02:26:29,976 - mmseg - INFO - Iter [20800/160000] lr: 1.500e-04, eta: 8:22:48, time: 0.198, data_time: 0.007, memory: 59439, decode.loss_ce: 0.2175, decode.acc_seg: 91.2247, loss: 0.2175 +2023-03-04 02:26:42,219 - mmseg - INFO - Iter [20850/160000] lr: 1.500e-04, eta: 8:22:46, time: 0.245, data_time: 0.058, memory: 59439, decode.loss_ce: 0.2030, decode.acc_seg: 91.5886, loss: 0.2030 +2023-03-04 02:26:51,897 - mmseg - INFO - Iter [20900/160000] lr: 1.500e-04, eta: 8:22:28, time: 0.194, data_time: 0.007, memory: 59439, decode.loss_ce: 0.2118, decode.acc_seg: 91.3057, loss: 0.2118 +2023-03-04 02:27:01,548 - mmseg - INFO - Iter [20950/160000] lr: 1.500e-04, eta: 8:22:09, time: 0.193, data_time: 0.007, memory: 59439, decode.loss_ce: 0.2054, decode.acc_seg: 91.4740, loss: 0.2054 +2023-03-04 02:27:11,046 - mmseg - INFO - Exp name: ablation_segformer_mit_b2_segformer_head_unet_fc_small_multi_step_ade_pretrained_freeze_embed_160k_ade20k151_finetune_ema_t20.py +2023-03-04 02:27:11,046 - mmseg - INFO - Iter [21000/160000] lr: 1.500e-04, eta: 8:21:49, time: 0.190, data_time: 0.008, memory: 59439, decode.loss_ce: 0.2150, decode.acc_seg: 91.2016, loss: 0.2150 +2023-03-04 02:27:20,601 - mmseg - INFO - Iter [21050/160000] lr: 1.500e-04, eta: 8:21:30, time: 0.191, data_time: 0.007, memory: 59439, decode.loss_ce: 0.2137, decode.acc_seg: 91.3714, loss: 0.2137 +2023-03-04 02:27:30,345 - mmseg - INFO - Iter [21100/160000] lr: 1.500e-04, eta: 8:21:12, time: 0.195, data_time: 0.007, memory: 59439, decode.loss_ce: 0.2147, decode.acc_seg: 91.3938, loss: 0.2147 +2023-03-04 02:27:39,948 - mmseg - INFO - Iter [21150/160000] lr: 1.500e-04, eta: 8:20:53, time: 0.192, data_time: 0.007, memory: 59439, decode.loss_ce: 0.2131, decode.acc_seg: 91.1007, loss: 0.2131 +2023-03-04 02:27:49,480 - mmseg - INFO - Iter [21200/160000] lr: 1.500e-04, eta: 8:20:34, time: 0.191, data_time: 0.007, memory: 59439, decode.loss_ce: 0.2125, decode.acc_seg: 91.2969, loss: 0.2125 +2023-03-04 02:27:59,135 - mmseg - INFO - Iter [21250/160000] lr: 1.500e-04, eta: 8:20:16, time: 0.193, data_time: 0.007, memory: 59439, decode.loss_ce: 0.2088, decode.acc_seg: 91.4742, loss: 0.2088 +2023-03-04 02:28:08,884 - mmseg - INFO - Iter [21300/160000] lr: 1.500e-04, eta: 8:19:58, time: 0.195, data_time: 0.007, memory: 59439, decode.loss_ce: 0.2114, decode.acc_seg: 91.3518, loss: 0.2114 +2023-03-04 02:28:18,662 - mmseg - INFO - Iter [21350/160000] lr: 1.500e-04, eta: 8:19:40, time: 0.196, data_time: 0.008, memory: 59439, decode.loss_ce: 0.2092, decode.acc_seg: 91.4213, loss: 0.2092 +2023-03-04 02:28:28,292 - mmseg - INFO - Iter [21400/160000] lr: 1.500e-04, eta: 8:19:22, time: 0.193, data_time: 0.007, memory: 59439, decode.loss_ce: 0.2077, decode.acc_seg: 91.5709, loss: 0.2077 +2023-03-04 02:28:38,106 - mmseg - INFO - Iter [21450/160000] lr: 1.500e-04, eta: 8:19:05, time: 0.196, data_time: 0.007, memory: 59439, decode.loss_ce: 0.2185, decode.acc_seg: 91.4200, loss: 0.2185 +2023-03-04 02:28:50,234 - mmseg - INFO - Iter [21500/160000] lr: 1.500e-04, eta: 8:19:02, time: 0.243, data_time: 0.054, memory: 59439, decode.loss_ce: 0.2152, decode.acc_seg: 91.4056, loss: 0.2152 +2023-03-04 02:29:00,068 - mmseg - INFO - Iter [21550/160000] lr: 1.500e-04, eta: 8:18:45, time: 0.197, data_time: 0.007, memory: 59439, decode.loss_ce: 0.2025, decode.acc_seg: 91.6199, loss: 0.2025 +2023-03-04 02:29:10,204 - mmseg - INFO - Iter [21600/160000] lr: 1.500e-04, eta: 8:18:30, time: 0.203, data_time: 0.007, memory: 59439, decode.loss_ce: 0.2172, decode.acc_seg: 91.1396, loss: 0.2172 +2023-03-04 02:29:19,695 - mmseg - INFO - Iter [21650/160000] lr: 1.500e-04, eta: 8:18:11, time: 0.190, data_time: 0.007, memory: 59439, decode.loss_ce: 0.2095, decode.acc_seg: 91.3792, loss: 0.2095 +2023-03-04 02:29:29,493 - mmseg - INFO - Iter [21700/160000] lr: 1.500e-04, eta: 8:17:54, time: 0.196, data_time: 0.008, memory: 59439, decode.loss_ce: 0.2061, decode.acc_seg: 91.5970, loss: 0.2061 +2023-03-04 02:29:39,075 - mmseg - INFO - Iter [21750/160000] lr: 1.500e-04, eta: 8:17:35, time: 0.192, data_time: 0.007, memory: 59439, decode.loss_ce: 0.2050, decode.acc_seg: 91.5765, loss: 0.2050 +2023-03-04 02:29:48,714 - mmseg - INFO - Iter [21800/160000] lr: 1.500e-04, eta: 8:17:17, time: 0.193, data_time: 0.007, memory: 59439, decode.loss_ce: 0.2090, decode.acc_seg: 91.4443, loss: 0.2090 +2023-03-04 02:29:58,345 - mmseg - INFO - Iter [21850/160000] lr: 1.500e-04, eta: 8:16:59, time: 0.193, data_time: 0.007, memory: 59439, decode.loss_ce: 0.2127, decode.acc_seg: 91.3021, loss: 0.2127 +2023-03-04 02:30:07,979 - mmseg - INFO - Iter [21900/160000] lr: 1.500e-04, eta: 8:16:41, time: 0.193, data_time: 0.008, memory: 59439, decode.loss_ce: 0.2171, decode.acc_seg: 91.1647, loss: 0.2171 +2023-03-04 02:30:17,553 - mmseg - INFO - Iter [21950/160000] lr: 1.500e-04, eta: 8:16:22, time: 0.191, data_time: 0.007, memory: 59439, decode.loss_ce: 0.2191, decode.acc_seg: 91.2730, loss: 0.2191 +2023-03-04 02:30:27,099 - mmseg - INFO - Exp name: ablation_segformer_mit_b2_segformer_head_unet_fc_small_multi_step_ade_pretrained_freeze_embed_160k_ade20k151_finetune_ema_t20.py +2023-03-04 02:30:27,099 - mmseg - INFO - Iter [22000/160000] lr: 1.500e-04, eta: 8:16:04, time: 0.191, data_time: 0.007, memory: 59439, decode.loss_ce: 0.2079, decode.acc_seg: 91.4402, loss: 0.2079 +2023-03-04 02:30:36,594 - mmseg - INFO - Iter [22050/160000] lr: 1.500e-04, eta: 8:15:45, time: 0.190, data_time: 0.007, memory: 59439, decode.loss_ce: 0.2036, decode.acc_seg: 91.6479, loss: 0.2036 +2023-03-04 02:30:48,794 - mmseg - INFO - Iter [22100/160000] lr: 1.500e-04, eta: 8:15:43, time: 0.244, data_time: 0.057, memory: 59439, decode.loss_ce: 0.2112, decode.acc_seg: 91.3836, loss: 0.2112 +2023-03-04 02:30:58,248 - mmseg - INFO - Iter [22150/160000] lr: 1.500e-04, eta: 8:15:24, time: 0.189, data_time: 0.007, memory: 59439, decode.loss_ce: 0.2071, decode.acc_seg: 91.5004, loss: 0.2071 +2023-03-04 02:31:07,805 - mmseg - INFO - Iter [22200/160000] lr: 1.500e-04, eta: 8:15:05, time: 0.191, data_time: 0.007, memory: 59439, decode.loss_ce: 0.2104, decode.acc_seg: 91.3615, loss: 0.2104 +2023-03-04 02:31:17,360 - mmseg - INFO - Iter [22250/160000] lr: 1.500e-04, eta: 8:14:47, time: 0.191, data_time: 0.007, memory: 59439, decode.loss_ce: 0.2050, decode.acc_seg: 91.7061, loss: 0.2050 +2023-03-04 02:31:27,167 - mmseg - INFO - Iter [22300/160000] lr: 1.500e-04, eta: 8:14:30, time: 0.196, data_time: 0.007, memory: 59439, decode.loss_ce: 0.2113, decode.acc_seg: 91.4890, loss: 0.2113 +2023-03-04 02:31:36,648 - mmseg - INFO - Iter [22350/160000] lr: 1.500e-04, eta: 8:14:12, time: 0.190, data_time: 0.007, memory: 59439, decode.loss_ce: 0.2185, decode.acc_seg: 91.2063, loss: 0.2185 +2023-03-04 02:31:46,443 - mmseg - INFO - Iter [22400/160000] lr: 1.500e-04, eta: 8:13:55, time: 0.196, data_time: 0.008, memory: 59439, decode.loss_ce: 0.2127, decode.acc_seg: 91.2535, loss: 0.2127 +2023-03-04 02:31:56,375 - mmseg - INFO - Iter [22450/160000] lr: 1.500e-04, eta: 8:13:39, time: 0.199, data_time: 0.008, memory: 59439, decode.loss_ce: 0.2116, decode.acc_seg: 91.3499, loss: 0.2116 +2023-03-04 02:32:05,961 - mmseg - INFO - Iter [22500/160000] lr: 1.500e-04, eta: 8:13:21, time: 0.192, data_time: 0.007, memory: 59439, decode.loss_ce: 0.2081, decode.acc_seg: 91.4510, loss: 0.2081 +2023-03-04 02:32:15,815 - mmseg - INFO - Iter [22550/160000] lr: 1.500e-04, eta: 8:13:05, time: 0.197, data_time: 0.008, memory: 59439, decode.loss_ce: 0.2117, decode.acc_seg: 91.3215, loss: 0.2117 +2023-03-04 02:32:25,725 - mmseg - INFO - Iter [22600/160000] lr: 1.500e-04, eta: 8:12:49, time: 0.198, data_time: 0.007, memory: 59439, decode.loss_ce: 0.2014, decode.acc_seg: 91.5813, loss: 0.2014 +2023-03-04 02:32:35,303 - mmseg - INFO - Iter [22650/160000] lr: 1.500e-04, eta: 8:12:31, time: 0.192, data_time: 0.007, memory: 59439, decode.loss_ce: 0.2114, decode.acc_seg: 91.4498, loss: 0.2114 +2023-03-04 02:32:45,009 - mmseg - INFO - Iter [22700/160000] lr: 1.500e-04, eta: 8:12:14, time: 0.194, data_time: 0.008, memory: 59439, decode.loss_ce: 0.2160, decode.acc_seg: 91.2927, loss: 0.2160 +2023-03-04 02:32:57,470 - mmseg - INFO - Iter [22750/160000] lr: 1.500e-04, eta: 8:12:13, time: 0.249, data_time: 0.058, memory: 59439, decode.loss_ce: 0.2102, decode.acc_seg: 91.4039, loss: 0.2102 +2023-03-04 02:33:07,270 - mmseg - INFO - Iter [22800/160000] lr: 1.500e-04, eta: 8:11:57, time: 0.196, data_time: 0.007, memory: 59439, decode.loss_ce: 0.2064, decode.acc_seg: 91.4837, loss: 0.2064 +2023-03-04 02:33:17,018 - mmseg - INFO - Iter [22850/160000] lr: 1.500e-04, eta: 8:11:40, time: 0.195, data_time: 0.007, memory: 59439, decode.loss_ce: 0.2056, decode.acc_seg: 91.4813, loss: 0.2056 +2023-03-04 02:33:26,474 - mmseg - INFO - Iter [22900/160000] lr: 1.500e-04, eta: 8:11:21, time: 0.189, data_time: 0.008, memory: 59439, decode.loss_ce: 0.2052, decode.acc_seg: 91.5775, loss: 0.2052 +2023-03-04 02:33:35,979 - mmseg - INFO - Iter [22950/160000] lr: 1.500e-04, eta: 8:11:03, time: 0.190, data_time: 0.007, memory: 59439, decode.loss_ce: 0.2083, decode.acc_seg: 91.5034, loss: 0.2083 +2023-03-04 02:33:45,552 - mmseg - INFO - Exp name: ablation_segformer_mit_b2_segformer_head_unet_fc_small_multi_step_ade_pretrained_freeze_embed_160k_ade20k151_finetune_ema_t20.py +2023-03-04 02:33:45,552 - mmseg - INFO - Iter [23000/160000] lr: 1.500e-04, eta: 8:10:45, time: 0.191, data_time: 0.007, memory: 59439, decode.loss_ce: 0.2116, decode.acc_seg: 91.3203, loss: 0.2116 +2023-03-04 02:33:55,324 - mmseg - INFO - Iter [23050/160000] lr: 1.500e-04, eta: 8:10:29, time: 0.195, data_time: 0.007, memory: 59439, decode.loss_ce: 0.2007, decode.acc_seg: 91.7105, loss: 0.2007 +2023-03-04 02:34:05,166 - mmseg - INFO - Iter [23100/160000] lr: 1.500e-04, eta: 8:10:13, time: 0.197, data_time: 0.008, memory: 59439, decode.loss_ce: 0.2192, decode.acc_seg: 91.0085, loss: 0.2192 +2023-03-04 02:34:14,790 - mmseg - INFO - Iter [23150/160000] lr: 1.500e-04, eta: 8:09:55, time: 0.192, data_time: 0.007, memory: 59439, decode.loss_ce: 0.2081, decode.acc_seg: 91.5255, loss: 0.2081 +2023-03-04 02:34:24,406 - mmseg - INFO - Iter [23200/160000] lr: 1.500e-04, eta: 8:09:38, time: 0.192, data_time: 0.007, memory: 59439, decode.loss_ce: 0.2114, decode.acc_seg: 91.2689, loss: 0.2114 +2023-03-04 02:34:33,902 - mmseg - INFO - Iter [23250/160000] lr: 1.500e-04, eta: 8:09:20, time: 0.190, data_time: 0.007, memory: 59439, decode.loss_ce: 0.2013, decode.acc_seg: 91.6260, loss: 0.2013 +2023-03-04 02:34:43,395 - mmseg - INFO - Iter [23300/160000] lr: 1.500e-04, eta: 8:09:02, time: 0.190, data_time: 0.007, memory: 59439, decode.loss_ce: 0.2155, decode.acc_seg: 91.1960, loss: 0.2155 +2023-03-04 02:34:55,621 - mmseg - INFO - Iter [23350/160000] lr: 1.500e-04, eta: 8:09:00, time: 0.245, data_time: 0.055, memory: 59439, decode.loss_ce: 0.2118, decode.acc_seg: 91.3202, loss: 0.2118 +2023-03-04 02:35:05,343 - mmseg - INFO - Iter [23400/160000] lr: 1.500e-04, eta: 8:08:43, time: 0.194, data_time: 0.007, memory: 59439, decode.loss_ce: 0.2099, decode.acc_seg: 91.4470, loss: 0.2099 +2023-03-04 02:35:14,903 - mmseg - INFO - Iter [23450/160000] lr: 1.500e-04, eta: 8:08:26, time: 0.191, data_time: 0.007, memory: 59439, decode.loss_ce: 0.2120, decode.acc_seg: 91.3648, loss: 0.2120 +2023-03-04 02:35:24,373 - mmseg - INFO - Iter [23500/160000] lr: 1.500e-04, eta: 8:08:08, time: 0.189, data_time: 0.007, memory: 59439, decode.loss_ce: 0.2100, decode.acc_seg: 91.5357, loss: 0.2100 +2023-03-04 02:35:34,152 - mmseg - INFO - Iter [23550/160000] lr: 1.500e-04, eta: 8:07:51, time: 0.196, data_time: 0.007, memory: 59439, decode.loss_ce: 0.2055, decode.acc_seg: 91.5248, loss: 0.2055 +2023-03-04 02:35:43,784 - mmseg - INFO - Iter [23600/160000] lr: 1.500e-04, eta: 8:07:34, time: 0.193, data_time: 0.007, memory: 59439, decode.loss_ce: 0.2023, decode.acc_seg: 91.6700, loss: 0.2023 +2023-03-04 02:35:53,447 - mmseg - INFO - Iter [23650/160000] lr: 1.500e-04, eta: 8:07:17, time: 0.193, data_time: 0.007, memory: 59439, decode.loss_ce: 0.2160, decode.acc_seg: 91.1574, loss: 0.2160 +2023-03-04 02:36:03,095 - mmseg - INFO - Iter [23700/160000] lr: 1.500e-04, eta: 8:07:01, time: 0.193, data_time: 0.008, memory: 59439, decode.loss_ce: 0.2142, decode.acc_seg: 91.3702, loss: 0.2142 +2023-03-04 02:36:12,982 - mmseg - INFO - Iter [23750/160000] lr: 1.500e-04, eta: 8:06:45, time: 0.198, data_time: 0.007, memory: 59439, decode.loss_ce: 0.2085, decode.acc_seg: 91.6074, loss: 0.2085 +2023-03-04 02:36:22,480 - mmseg - INFO - Iter [23800/160000] lr: 1.500e-04, eta: 8:06:27, time: 0.190, data_time: 0.007, memory: 59439, decode.loss_ce: 0.2088, decode.acc_seg: 91.1934, loss: 0.2088 +2023-03-04 02:36:32,067 - mmseg - INFO - Iter [23850/160000] lr: 1.500e-04, eta: 8:06:10, time: 0.192, data_time: 0.007, memory: 59439, decode.loss_ce: 0.2064, decode.acc_seg: 91.4442, loss: 0.2064 +2023-03-04 02:36:41,712 - mmseg - INFO - Iter [23900/160000] lr: 1.500e-04, eta: 8:05:53, time: 0.193, data_time: 0.007, memory: 59439, decode.loss_ce: 0.2251, decode.acc_seg: 91.1170, loss: 0.2251 +2023-03-04 02:36:51,337 - mmseg - INFO - Iter [23950/160000] lr: 1.500e-04, eta: 8:05:37, time: 0.193, data_time: 0.007, memory: 59439, decode.loss_ce: 0.2145, decode.acc_seg: 91.3474, loss: 0.2145 +2023-03-04 02:37:03,382 - mmseg - INFO - Exp name: ablation_segformer_mit_b2_segformer_head_unet_fc_small_multi_step_ade_pretrained_freeze_embed_160k_ade20k151_finetune_ema_t20.py +2023-03-04 02:37:03,383 - mmseg - INFO - Iter [24000/160000] lr: 1.500e-04, eta: 8:05:33, time: 0.241, data_time: 0.055, memory: 59439, decode.loss_ce: 0.2083, decode.acc_seg: 91.3108, loss: 0.2083 +2023-03-04 02:37:13,189 - mmseg - INFO - Iter [24050/160000] lr: 1.500e-04, eta: 8:05:18, time: 0.196, data_time: 0.007, memory: 59439, decode.loss_ce: 0.2086, decode.acc_seg: 91.7149, loss: 0.2086 +2023-03-04 02:37:22,759 - mmseg - INFO - Iter [24100/160000] lr: 1.500e-04, eta: 8:05:00, time: 0.191, data_time: 0.007, memory: 59439, decode.loss_ce: 0.2079, decode.acc_seg: 91.4830, loss: 0.2079 +2023-03-04 02:37:32,357 - mmseg - INFO - Iter [24150/160000] lr: 1.500e-04, eta: 8:04:44, time: 0.192, data_time: 0.007, memory: 59439, decode.loss_ce: 0.2071, decode.acc_seg: 91.4277, loss: 0.2071 +2023-03-04 02:37:42,098 - mmseg - INFO - Iter [24200/160000] lr: 1.500e-04, eta: 8:04:27, time: 0.195, data_time: 0.007, memory: 59439, decode.loss_ce: 0.2114, decode.acc_seg: 91.0748, loss: 0.2114 +2023-03-04 02:37:51,703 - mmseg - INFO - Iter [24250/160000] lr: 1.500e-04, eta: 8:04:11, time: 0.192, data_time: 0.007, memory: 59439, decode.loss_ce: 0.2050, decode.acc_seg: 91.6117, loss: 0.2050 +2023-03-04 02:38:01,541 - mmseg - INFO - Iter [24300/160000] lr: 1.500e-04, eta: 8:03:55, time: 0.197, data_time: 0.007, memory: 59439, decode.loss_ce: 0.2090, decode.acc_seg: 91.4616, loss: 0.2090 +2023-03-04 02:38:11,187 - mmseg - INFO - Iter [24350/160000] lr: 1.500e-04, eta: 8:03:38, time: 0.193, data_time: 0.007, memory: 59439, decode.loss_ce: 0.2120, decode.acc_seg: 91.3968, loss: 0.2120 +2023-03-04 02:38:20,890 - mmseg - INFO - Iter [24400/160000] lr: 1.500e-04, eta: 8:03:22, time: 0.194, data_time: 0.008, memory: 59439, decode.loss_ce: 0.2211, decode.acc_seg: 91.1147, loss: 0.2211 +2023-03-04 02:38:30,574 - mmseg - INFO - Iter [24450/160000] lr: 1.500e-04, eta: 8:03:06, time: 0.194, data_time: 0.008, memory: 59439, decode.loss_ce: 0.2115, decode.acc_seg: 91.4334, loss: 0.2115 +2023-03-04 02:38:40,157 - mmseg - INFO - Iter [24500/160000] lr: 1.500e-04, eta: 8:02:49, time: 0.192, data_time: 0.007, memory: 59439, decode.loss_ce: 0.2087, decode.acc_seg: 91.4797, loss: 0.2087 +2023-03-04 02:38:49,754 - mmseg - INFO - Iter [24550/160000] lr: 1.500e-04, eta: 8:02:32, time: 0.192, data_time: 0.007, memory: 59439, decode.loss_ce: 0.2040, decode.acc_seg: 91.6418, loss: 0.2040 +2023-03-04 02:38:59,358 - mmseg - INFO - Iter [24600/160000] lr: 1.500e-04, eta: 8:02:16, time: 0.192, data_time: 0.008, memory: 59439, decode.loss_ce: 0.2121, decode.acc_seg: 91.2812, loss: 0.2121 +2023-03-04 02:39:11,543 - mmseg - INFO - Iter [24650/160000] lr: 1.500e-04, eta: 8:02:13, time: 0.244, data_time: 0.055, memory: 59439, decode.loss_ce: 0.2032, decode.acc_seg: 91.8315, loss: 0.2032 +2023-03-04 02:39:21,140 - mmseg - INFO - Iter [24700/160000] lr: 1.500e-04, eta: 8:01:57, time: 0.192, data_time: 0.007, memory: 59439, decode.loss_ce: 0.2031, decode.acc_seg: 91.6638, loss: 0.2031 +2023-03-04 02:39:30,632 - mmseg - INFO - Iter [24750/160000] lr: 1.500e-04, eta: 8:01:39, time: 0.190, data_time: 0.007, memory: 59439, decode.loss_ce: 0.2161, decode.acc_seg: 91.2199, loss: 0.2161 +2023-03-04 02:39:40,348 - mmseg - INFO - Iter [24800/160000] lr: 1.500e-04, eta: 8:01:23, time: 0.194, data_time: 0.008, memory: 59439, decode.loss_ce: 0.2029, decode.acc_seg: 91.7445, loss: 0.2029 +2023-03-04 02:39:50,054 - mmseg - INFO - Iter [24850/160000] lr: 1.500e-04, eta: 8:01:07, time: 0.194, data_time: 0.008, memory: 59439, decode.loss_ce: 0.2025, decode.acc_seg: 91.7327, loss: 0.2025 +2023-03-04 02:39:59,979 - mmseg - INFO - Iter [24900/160000] lr: 1.500e-04, eta: 8:00:53, time: 0.199, data_time: 0.007, memory: 59439, decode.loss_ce: 0.2088, decode.acc_seg: 91.5577, loss: 0.2088 +2023-03-04 02:40:09,583 - mmseg - INFO - Iter [24950/160000] lr: 1.500e-04, eta: 8:00:36, time: 0.192, data_time: 0.007, memory: 59439, decode.loss_ce: 0.2155, decode.acc_seg: 91.1803, loss: 0.2155 +2023-03-04 02:40:19,345 - mmseg - INFO - Exp name: ablation_segformer_mit_b2_segformer_head_unet_fc_small_multi_step_ade_pretrained_freeze_embed_160k_ade20k151_finetune_ema_t20.py +2023-03-04 02:40:19,345 - mmseg - INFO - Iter [25000/160000] lr: 1.500e-04, eta: 8:00:21, time: 0.195, data_time: 0.007, memory: 59439, decode.loss_ce: 0.2014, decode.acc_seg: 91.8119, loss: 0.2014 +2023-03-04 02:40:29,054 - mmseg - INFO - Iter [25050/160000] lr: 1.500e-04, eta: 8:00:05, time: 0.194, data_time: 0.007, memory: 59439, decode.loss_ce: 0.2124, decode.acc_seg: 91.3507, loss: 0.2124 +2023-03-04 02:40:38,603 - mmseg - INFO - Iter [25100/160000] lr: 1.500e-04, eta: 7:59:48, time: 0.191, data_time: 0.007, memory: 59439, decode.loss_ce: 0.2084, decode.acc_seg: 91.5756, loss: 0.2084 +2023-03-04 02:40:48,637 - mmseg - INFO - Iter [25150/160000] lr: 1.500e-04, eta: 7:59:34, time: 0.200, data_time: 0.007, memory: 59439, decode.loss_ce: 0.2088, decode.acc_seg: 91.3234, loss: 0.2088 +2023-03-04 02:40:58,870 - mmseg - INFO - Iter [25200/160000] lr: 1.500e-04, eta: 7:59:21, time: 0.205, data_time: 0.008, memory: 59439, decode.loss_ce: 0.2156, decode.acc_seg: 91.3248, loss: 0.2156 +2023-03-04 02:41:10,869 - mmseg - INFO - Iter [25250/160000] lr: 1.500e-04, eta: 7:59:17, time: 0.240, data_time: 0.055, memory: 59439, decode.loss_ce: 0.2125, decode.acc_seg: 91.4733, loss: 0.2125 +2023-03-04 02:41:20,824 - mmseg - INFO - Iter [25300/160000] lr: 1.500e-04, eta: 7:59:03, time: 0.199, data_time: 0.007, memory: 59439, decode.loss_ce: 0.2113, decode.acc_seg: 91.4002, loss: 0.2113 +2023-03-04 02:41:30,563 - mmseg - INFO - Iter [25350/160000] lr: 1.500e-04, eta: 7:58:47, time: 0.195, data_time: 0.007, memory: 59439, decode.loss_ce: 0.2075, decode.acc_seg: 91.4952, loss: 0.2075 +2023-03-04 02:41:40,285 - mmseg - INFO - Iter [25400/160000] lr: 1.500e-04, eta: 7:58:32, time: 0.194, data_time: 0.007, memory: 59439, decode.loss_ce: 0.2093, decode.acc_seg: 91.5227, loss: 0.2093 +2023-03-04 02:41:49,845 - mmseg - INFO - Iter [25450/160000] lr: 1.500e-04, eta: 7:58:15, time: 0.191, data_time: 0.007, memory: 59439, decode.loss_ce: 0.2013, decode.acc_seg: 91.6513, loss: 0.2013 +2023-03-04 02:41:59,314 - mmseg - INFO - Iter [25500/160000] lr: 1.500e-04, eta: 7:57:58, time: 0.189, data_time: 0.007, memory: 59439, decode.loss_ce: 0.2122, decode.acc_seg: 91.3450, loss: 0.2122 +2023-03-04 02:42:08,943 - mmseg - INFO - Iter [25550/160000] lr: 1.500e-04, eta: 7:57:42, time: 0.193, data_time: 0.007, memory: 59439, decode.loss_ce: 0.2123, decode.acc_seg: 91.2595, loss: 0.2123 +2023-03-04 02:42:18,529 - mmseg - INFO - Iter [25600/160000] lr: 1.500e-04, eta: 7:57:26, time: 0.191, data_time: 0.007, memory: 59439, decode.loss_ce: 0.2164, decode.acc_seg: 91.1941, loss: 0.2164 +2023-03-04 02:42:28,098 - mmseg - INFO - Iter [25650/160000] lr: 1.500e-04, eta: 7:57:09, time: 0.192, data_time: 0.008, memory: 59439, decode.loss_ce: 0.2155, decode.acc_seg: 91.1694, loss: 0.2155 +2023-03-04 02:42:38,099 - mmseg - INFO - Iter [25700/160000] lr: 1.500e-04, eta: 7:56:55, time: 0.200, data_time: 0.007, memory: 59439, decode.loss_ce: 0.2105, decode.acc_seg: 91.4236, loss: 0.2105 +2023-03-04 02:42:47,780 - mmseg - INFO - Iter [25750/160000] lr: 1.500e-04, eta: 7:56:40, time: 0.194, data_time: 0.008, memory: 59439, decode.loss_ce: 0.2092, decode.acc_seg: 91.5766, loss: 0.2092 +2023-03-04 02:42:57,271 - mmseg - INFO - Iter [25800/160000] lr: 1.500e-04, eta: 7:56:23, time: 0.190, data_time: 0.007, memory: 59439, decode.loss_ce: 0.1980, decode.acc_seg: 91.8010, loss: 0.1980 +2023-03-04 02:43:07,014 - mmseg - INFO - Iter [25850/160000] lr: 1.500e-04, eta: 7:56:07, time: 0.195, data_time: 0.007, memory: 59439, decode.loss_ce: 0.2072, decode.acc_seg: 91.4427, loss: 0.2072 +2023-03-04 02:43:19,281 - mmseg - INFO - Iter [25900/160000] lr: 1.500e-04, eta: 7:56:05, time: 0.246, data_time: 0.057, memory: 59439, decode.loss_ce: 0.2145, decode.acc_seg: 91.3609, loss: 0.2145 +2023-03-04 02:43:28,863 - mmseg - INFO - Iter [25950/160000] lr: 1.500e-04, eta: 7:55:49, time: 0.192, data_time: 0.008, memory: 59439, decode.loss_ce: 0.2057, decode.acc_seg: 91.6224, loss: 0.2057 +2023-03-04 02:43:38,499 - mmseg - INFO - Exp name: ablation_segformer_mit_b2_segformer_head_unet_fc_small_multi_step_ade_pretrained_freeze_embed_160k_ade20k151_finetune_ema_t20.py +2023-03-04 02:43:38,499 - mmseg - INFO - Iter [26000/160000] lr: 1.500e-04, eta: 7:55:33, time: 0.193, data_time: 0.007, memory: 59439, decode.loss_ce: 0.2087, decode.acc_seg: 91.4543, loss: 0.2087 +2023-03-04 02:43:48,134 - mmseg - INFO - Iter [26050/160000] lr: 1.500e-04, eta: 7:55:17, time: 0.193, data_time: 0.007, memory: 59439, decode.loss_ce: 0.2181, decode.acc_seg: 91.2756, loss: 0.2181 +2023-03-04 02:43:57,793 - mmseg - INFO - Iter [26100/160000] lr: 1.500e-04, eta: 7:55:02, time: 0.193, data_time: 0.007, memory: 59439, decode.loss_ce: 0.2096, decode.acc_seg: 91.4106, loss: 0.2096 +2023-03-04 02:44:07,931 - mmseg - INFO - Iter [26150/160000] lr: 1.500e-04, eta: 7:54:48, time: 0.203, data_time: 0.007, memory: 59439, decode.loss_ce: 0.2140, decode.acc_seg: 91.1356, loss: 0.2140 +2023-03-04 02:44:17,651 - mmseg - INFO - Iter [26200/160000] lr: 1.500e-04, eta: 7:54:33, time: 0.194, data_time: 0.008, memory: 59439, decode.loss_ce: 0.2118, decode.acc_seg: 91.4670, loss: 0.2118 +2023-03-04 02:44:27,245 - mmseg - INFO - Iter [26250/160000] lr: 1.500e-04, eta: 7:54:17, time: 0.192, data_time: 0.008, memory: 59439, decode.loss_ce: 0.2074, decode.acc_seg: 91.5801, loss: 0.2074 +2023-03-04 02:44:36,760 - mmseg - INFO - Iter [26300/160000] lr: 1.500e-04, eta: 7:54:01, time: 0.190, data_time: 0.007, memory: 59439, decode.loss_ce: 0.2142, decode.acc_seg: 91.2889, loss: 0.2142 +2023-03-04 02:44:46,385 - mmseg - INFO - Iter [26350/160000] lr: 1.500e-04, eta: 7:53:45, time: 0.193, data_time: 0.008, memory: 59439, decode.loss_ce: 0.2088, decode.acc_seg: 91.4170, loss: 0.2088 +2023-03-04 02:44:55,924 - mmseg - INFO - Iter [26400/160000] lr: 1.500e-04, eta: 7:53:29, time: 0.191, data_time: 0.007, memory: 59439, decode.loss_ce: 0.2125, decode.acc_seg: 91.3429, loss: 0.2125 +2023-03-04 02:45:05,433 - mmseg - INFO - Iter [26450/160000] lr: 1.500e-04, eta: 7:53:12, time: 0.190, data_time: 0.007, memory: 59439, decode.loss_ce: 0.2162, decode.acc_seg: 91.0257, loss: 0.2162 +2023-03-04 02:45:14,942 - mmseg - INFO - Iter [26500/160000] lr: 1.500e-04, eta: 7:52:56, time: 0.190, data_time: 0.007, memory: 59439, decode.loss_ce: 0.2072, decode.acc_seg: 91.5705, loss: 0.2072 +2023-03-04 02:45:27,096 - mmseg - INFO - Iter [26550/160000] lr: 1.500e-04, eta: 7:52:53, time: 0.243, data_time: 0.055, memory: 59439, decode.loss_ce: 0.1995, decode.acc_seg: 91.7627, loss: 0.1995 +2023-03-04 02:45:36,794 - mmseg - INFO - Iter [26600/160000] lr: 1.500e-04, eta: 7:52:38, time: 0.194, data_time: 0.007, memory: 59439, decode.loss_ce: 0.2074, decode.acc_seg: 91.5597, loss: 0.2074 +2023-03-04 02:45:46,505 - mmseg - INFO - Iter [26650/160000] lr: 1.500e-04, eta: 7:52:23, time: 0.194, data_time: 0.007, memory: 59439, decode.loss_ce: 0.2001, decode.acc_seg: 91.6199, loss: 0.2001 +2023-03-04 02:45:56,225 - mmseg - INFO - Iter [26700/160000] lr: 1.500e-04, eta: 7:52:08, time: 0.194, data_time: 0.007, memory: 59439, decode.loss_ce: 0.2034, decode.acc_seg: 91.6669, loss: 0.2034 +2023-03-04 02:46:06,361 - mmseg - INFO - Iter [26750/160000] lr: 1.500e-04, eta: 7:51:54, time: 0.202, data_time: 0.008, memory: 59439, decode.loss_ce: 0.2120, decode.acc_seg: 91.3066, loss: 0.2120 +2023-03-04 02:46:15,921 - mmseg - INFO - Iter [26800/160000] lr: 1.500e-04, eta: 7:51:39, time: 0.191, data_time: 0.008, memory: 59439, decode.loss_ce: 0.2098, decode.acc_seg: 91.5406, loss: 0.2098 +2023-03-04 02:46:25,713 - mmseg - INFO - Iter [26850/160000] lr: 1.500e-04, eta: 7:51:24, time: 0.196, data_time: 0.007, memory: 59439, decode.loss_ce: 0.2153, decode.acc_seg: 91.2204, loss: 0.2153 +2023-03-04 02:46:35,382 - mmseg - INFO - Iter [26900/160000] lr: 1.500e-04, eta: 7:51:08, time: 0.193, data_time: 0.007, memory: 59439, decode.loss_ce: 0.2063, decode.acc_seg: 91.5073, loss: 0.2063 +2023-03-04 02:46:45,029 - mmseg - INFO - Iter [26950/160000] lr: 1.500e-04, eta: 7:50:53, time: 0.193, data_time: 0.007, memory: 59439, decode.loss_ce: 0.1930, decode.acc_seg: 92.0153, loss: 0.1930 +2023-03-04 02:46:54,731 - mmseg - INFO - Exp name: ablation_segformer_mit_b2_segformer_head_unet_fc_small_multi_step_ade_pretrained_freeze_embed_160k_ade20k151_finetune_ema_t20.py +2023-03-04 02:46:54,731 - mmseg - INFO - Iter [27000/160000] lr: 1.500e-04, eta: 7:50:38, time: 0.194, data_time: 0.007, memory: 59439, decode.loss_ce: 0.2086, decode.acc_seg: 91.3999, loss: 0.2086 +2023-03-04 02:47:04,496 - mmseg - INFO - Iter [27050/160000] lr: 1.500e-04, eta: 7:50:23, time: 0.195, data_time: 0.007, memory: 59439, decode.loss_ce: 0.2156, decode.acc_seg: 91.1962, loss: 0.2156 +2023-03-04 02:47:14,550 - mmseg - INFO - Iter [27100/160000] lr: 1.500e-04, eta: 7:50:10, time: 0.201, data_time: 0.008, memory: 59439, decode.loss_ce: 0.2050, decode.acc_seg: 91.5719, loss: 0.2050 +2023-03-04 02:47:26,799 - mmseg - INFO - Iter [27150/160000] lr: 1.500e-04, eta: 7:50:07, time: 0.245, data_time: 0.056, memory: 59439, decode.loss_ce: 0.2105, decode.acc_seg: 91.4306, loss: 0.2105 +2023-03-04 02:47:36,555 - mmseg - INFO - Iter [27200/160000] lr: 1.500e-04, eta: 7:49:52, time: 0.195, data_time: 0.007, memory: 59439, decode.loss_ce: 0.2082, decode.acc_seg: 91.5269, loss: 0.2082 +2023-03-04 02:47:46,134 - mmseg - INFO - Iter [27250/160000] lr: 1.500e-04, eta: 7:49:37, time: 0.192, data_time: 0.007, memory: 59439, decode.loss_ce: 0.2138, decode.acc_seg: 91.2590, loss: 0.2138 +2023-03-04 02:47:55,718 - mmseg - INFO - Iter [27300/160000] lr: 1.500e-04, eta: 7:49:21, time: 0.192, data_time: 0.007, memory: 59439, decode.loss_ce: 0.2006, decode.acc_seg: 91.7341, loss: 0.2006 +2023-03-04 02:48:05,512 - mmseg - INFO - Iter [27350/160000] lr: 1.500e-04, eta: 7:49:06, time: 0.196, data_time: 0.007, memory: 59439, decode.loss_ce: 0.2135, decode.acc_seg: 91.2951, loss: 0.2135 +2023-03-04 02:48:14,974 - mmseg - INFO - Iter [27400/160000] lr: 1.500e-04, eta: 7:48:50, time: 0.189, data_time: 0.007, memory: 59439, decode.loss_ce: 0.2127, decode.acc_seg: 91.3696, loss: 0.2127 +2023-03-04 02:48:24,638 - mmseg - INFO - Iter [27450/160000] lr: 1.500e-04, eta: 7:48:35, time: 0.193, data_time: 0.007, memory: 59439, decode.loss_ce: 0.2089, decode.acc_seg: 91.4992, loss: 0.2089 +2023-03-04 02:48:34,173 - mmseg - INFO - Iter [27500/160000] lr: 1.500e-04, eta: 7:48:19, time: 0.191, data_time: 0.007, memory: 59439, decode.loss_ce: 0.2128, decode.acc_seg: 91.3691, loss: 0.2128 +2023-03-04 02:48:43,962 - mmseg - INFO - Iter [27550/160000] lr: 1.500e-04, eta: 7:48:05, time: 0.196, data_time: 0.008, memory: 59439, decode.loss_ce: 0.2046, decode.acc_seg: 91.5720, loss: 0.2046 +2023-03-04 02:48:53,660 - mmseg - INFO - Iter [27600/160000] lr: 1.500e-04, eta: 7:47:50, time: 0.194, data_time: 0.007, memory: 59439, decode.loss_ce: 0.2083, decode.acc_seg: 91.5544, loss: 0.2083 +2023-03-04 02:49:03,208 - mmseg - INFO - Iter [27650/160000] lr: 1.500e-04, eta: 7:47:34, time: 0.191, data_time: 0.007, memory: 59439, decode.loss_ce: 0.2053, decode.acc_seg: 91.4872, loss: 0.2053 +2023-03-04 02:49:12,896 - mmseg - INFO - Iter [27700/160000] lr: 1.500e-04, eta: 7:47:19, time: 0.194, data_time: 0.008, memory: 59439, decode.loss_ce: 0.2084, decode.acc_seg: 91.4698, loss: 0.2084 +2023-03-04 02:49:22,730 - mmseg - INFO - Iter [27750/160000] lr: 1.500e-04, eta: 7:47:05, time: 0.196, data_time: 0.008, memory: 59439, decode.loss_ce: 0.2117, decode.acc_seg: 91.3102, loss: 0.2117 +2023-03-04 02:49:34,883 - mmseg - INFO - Iter [27800/160000] lr: 1.500e-04, eta: 7:47:02, time: 0.243, data_time: 0.056, memory: 59439, decode.loss_ce: 0.2171, decode.acc_seg: 91.2490, loss: 0.2171 +2023-03-04 02:49:44,646 - mmseg - INFO - Iter [27850/160000] lr: 1.500e-04, eta: 7:46:47, time: 0.195, data_time: 0.007, memory: 59439, decode.loss_ce: 0.2162, decode.acc_seg: 91.2890, loss: 0.2162 +2023-03-04 02:49:54,637 - mmseg - INFO - Iter [27900/160000] lr: 1.500e-04, eta: 7:46:34, time: 0.200, data_time: 0.008, memory: 59439, decode.loss_ce: 0.2086, decode.acc_seg: 91.4202, loss: 0.2086 +2023-03-04 02:50:04,648 - mmseg - INFO - Iter [27950/160000] lr: 1.500e-04, eta: 7:46:21, time: 0.200, data_time: 0.008, memory: 59439, decode.loss_ce: 0.2162, decode.acc_seg: 91.3574, loss: 0.2162 +2023-03-04 02:50:14,126 - mmseg - INFO - Exp name: ablation_segformer_mit_b2_segformer_head_unet_fc_small_multi_step_ade_pretrained_freeze_embed_160k_ade20k151_finetune_ema_t20.py +2023-03-04 02:50:14,126 - mmseg - INFO - Iter [28000/160000] lr: 1.500e-04, eta: 7:46:05, time: 0.190, data_time: 0.007, memory: 59439, decode.loss_ce: 0.2034, decode.acc_seg: 91.5181, loss: 0.2034 +2023-03-04 02:50:23,862 - mmseg - INFO - Iter [28050/160000] lr: 1.500e-04, eta: 7:45:50, time: 0.195, data_time: 0.007, memory: 59439, decode.loss_ce: 0.2126, decode.acc_seg: 91.4190, loss: 0.2126 +2023-03-04 02:50:33,597 - mmseg - INFO - Iter [28100/160000] lr: 1.500e-04, eta: 7:45:35, time: 0.194, data_time: 0.007, memory: 59439, decode.loss_ce: 0.2038, decode.acc_seg: 91.7196, loss: 0.2038 +2023-03-04 02:50:43,276 - mmseg - INFO - Iter [28150/160000] lr: 1.500e-04, eta: 7:45:21, time: 0.194, data_time: 0.008, memory: 59439, decode.loss_ce: 0.2107, decode.acc_seg: 91.3024, loss: 0.2107 +2023-03-04 02:50:52,782 - mmseg - INFO - Iter [28200/160000] lr: 1.500e-04, eta: 7:45:05, time: 0.190, data_time: 0.007, memory: 59439, decode.loss_ce: 0.2047, decode.acc_seg: 91.6492, loss: 0.2047 +2023-03-04 02:51:02,392 - mmseg - INFO - Iter [28250/160000] lr: 1.500e-04, eta: 7:44:50, time: 0.192, data_time: 0.007, memory: 59439, decode.loss_ce: 0.2174, decode.acc_seg: 91.2312, loss: 0.2174 +2023-03-04 02:51:12,108 - mmseg - INFO - Iter [28300/160000] lr: 1.500e-04, eta: 7:44:35, time: 0.194, data_time: 0.007, memory: 59439, decode.loss_ce: 0.2067, decode.acc_seg: 91.5768, loss: 0.2067 +2023-03-04 02:51:21,605 - mmseg - INFO - Iter [28350/160000] lr: 1.500e-04, eta: 7:44:20, time: 0.190, data_time: 0.007, memory: 59439, decode.loss_ce: 0.2138, decode.acc_seg: 91.3388, loss: 0.2138 +2023-03-04 02:51:33,820 - mmseg - INFO - Iter [28400/160000] lr: 1.500e-04, eta: 7:44:16, time: 0.244, data_time: 0.058, memory: 59439, decode.loss_ce: 0.2065, decode.acc_seg: 91.5025, loss: 0.2065 +2023-03-04 02:51:43,957 - mmseg - INFO - Iter [28450/160000] lr: 1.500e-04, eta: 7:44:04, time: 0.203, data_time: 0.007, memory: 59439, decode.loss_ce: 0.2042, decode.acc_seg: 91.7233, loss: 0.2042 +2023-03-04 02:51:53,790 - mmseg - INFO - Iter [28500/160000] lr: 1.500e-04, eta: 7:43:50, time: 0.197, data_time: 0.007, memory: 59439, decode.loss_ce: 0.2104, decode.acc_seg: 91.4416, loss: 0.2104 +2023-03-04 02:52:03,463 - mmseg - INFO - Iter [28550/160000] lr: 1.500e-04, eta: 7:43:35, time: 0.193, data_time: 0.007, memory: 59439, decode.loss_ce: 0.2072, decode.acc_seg: 91.4618, loss: 0.2072 +2023-03-04 02:52:13,177 - mmseg - INFO - Iter [28600/160000] lr: 1.500e-04, eta: 7:43:20, time: 0.194, data_time: 0.007, memory: 59439, decode.loss_ce: 0.2079, decode.acc_seg: 91.4391, loss: 0.2079 +2023-03-04 02:52:22,984 - mmseg - INFO - Iter [28650/160000] lr: 1.500e-04, eta: 7:43:06, time: 0.196, data_time: 0.007, memory: 59439, decode.loss_ce: 0.2006, decode.acc_seg: 91.6753, loss: 0.2006 +2023-03-04 02:52:32,519 - mmseg - INFO - Iter [28700/160000] lr: 1.500e-04, eta: 7:42:51, time: 0.191, data_time: 0.007, memory: 59439, decode.loss_ce: 0.2070, decode.acc_seg: 91.5634, loss: 0.2070 +2023-03-04 02:52:42,019 - mmseg - INFO - Iter [28750/160000] lr: 1.500e-04, eta: 7:42:36, time: 0.190, data_time: 0.007, memory: 59439, decode.loss_ce: 0.2081, decode.acc_seg: 91.5004, loss: 0.2081 +2023-03-04 02:52:51,858 - mmseg - INFO - Iter [28800/160000] lr: 1.500e-04, eta: 7:42:22, time: 0.197, data_time: 0.007, memory: 59439, decode.loss_ce: 0.2092, decode.acc_seg: 91.5426, loss: 0.2092 +2023-03-04 02:53:01,409 - mmseg - INFO - Iter [28850/160000] lr: 1.500e-04, eta: 7:42:06, time: 0.191, data_time: 0.008, memory: 59439, decode.loss_ce: 0.2050, decode.acc_seg: 91.6980, loss: 0.2050 +2023-03-04 02:53:11,044 - mmseg - INFO - Iter [28900/160000] lr: 1.500e-04, eta: 7:41:52, time: 0.193, data_time: 0.007, memory: 59439, decode.loss_ce: 0.2147, decode.acc_seg: 91.3502, loss: 0.2147 +2023-03-04 02:53:20,617 - mmseg - INFO - Iter [28950/160000] lr: 1.500e-04, eta: 7:41:36, time: 0.191, data_time: 0.007, memory: 59439, decode.loss_ce: 0.2160, decode.acc_seg: 91.1923, loss: 0.2160 +2023-03-04 02:53:30,409 - mmseg - INFO - Exp name: ablation_segformer_mit_b2_segformer_head_unet_fc_small_multi_step_ade_pretrained_freeze_embed_160k_ade20k151_finetune_ema_t20.py +2023-03-04 02:53:30,410 - mmseg - INFO - Iter [29000/160000] lr: 1.500e-04, eta: 7:41:22, time: 0.196, data_time: 0.008, memory: 59439, decode.loss_ce: 0.2071, decode.acc_seg: 91.6094, loss: 0.2071 +2023-03-04 02:53:42,582 - mmseg - INFO - Iter [29050/160000] lr: 1.500e-04, eta: 7:41:19, time: 0.243, data_time: 0.055, memory: 59439, decode.loss_ce: 0.2100, decode.acc_seg: 91.3999, loss: 0.2100 +2023-03-04 02:53:52,223 - mmseg - INFO - Iter [29100/160000] lr: 1.500e-04, eta: 7:41:04, time: 0.193, data_time: 0.007, memory: 59439, decode.loss_ce: 0.2047, decode.acc_seg: 91.5849, loss: 0.2047 +2023-03-04 02:54:01,917 - mmseg - INFO - Iter [29150/160000] lr: 1.500e-04, eta: 7:40:50, time: 0.194, data_time: 0.007, memory: 59439, decode.loss_ce: 0.2144, decode.acc_seg: 91.4777, loss: 0.2144 +2023-03-04 02:54:11,733 - mmseg - INFO - Iter [29200/160000] lr: 1.500e-04, eta: 7:40:36, time: 0.196, data_time: 0.007, memory: 59439, decode.loss_ce: 0.2035, decode.acc_seg: 91.6798, loss: 0.2035 +2023-03-04 02:54:21,505 - mmseg - INFO - Iter [29250/160000] lr: 1.500e-04, eta: 7:40:22, time: 0.195, data_time: 0.007, memory: 59439, decode.loss_ce: 0.2054, decode.acc_seg: 91.6587, loss: 0.2054 +2023-03-04 02:54:31,077 - mmseg - INFO - Iter [29300/160000] lr: 1.500e-04, eta: 7:40:07, time: 0.191, data_time: 0.007, memory: 59439, decode.loss_ce: 0.2017, decode.acc_seg: 91.7090, loss: 0.2017 +2023-03-04 02:54:40,668 - mmseg - INFO - Iter [29350/160000] lr: 1.500e-04, eta: 7:39:52, time: 0.192, data_time: 0.007, memory: 59439, decode.loss_ce: 0.2042, decode.acc_seg: 91.7412, loss: 0.2042 +2023-03-04 02:54:50,345 - mmseg - INFO - Iter [29400/160000] lr: 1.500e-04, eta: 7:39:37, time: 0.194, data_time: 0.007, memory: 59439, decode.loss_ce: 0.2144, decode.acc_seg: 91.4323, loss: 0.2144 +2023-03-04 02:54:59,840 - mmseg - INFO - Iter [29450/160000] lr: 1.500e-04, eta: 7:39:22, time: 0.190, data_time: 0.007, memory: 59439, decode.loss_ce: 0.2130, decode.acc_seg: 91.4229, loss: 0.2130 +2023-03-04 02:55:09,304 - mmseg - INFO - Iter [29500/160000] lr: 1.500e-04, eta: 7:39:07, time: 0.189, data_time: 0.007, memory: 59439, decode.loss_ce: 0.2013, decode.acc_seg: 91.7156, loss: 0.2013 +2023-03-04 02:55:18,989 - mmseg - INFO - Iter [29550/160000] lr: 1.500e-04, eta: 7:38:52, time: 0.194, data_time: 0.007, memory: 59439, decode.loss_ce: 0.2014, decode.acc_seg: 91.6619, loss: 0.2014 +2023-03-04 02:55:28,582 - mmseg - INFO - Iter [29600/160000] lr: 1.500e-04, eta: 7:38:38, time: 0.192, data_time: 0.007, memory: 59439, decode.loss_ce: 0.2094, decode.acc_seg: 91.4259, loss: 0.2094 +2023-03-04 02:55:38,317 - mmseg - INFO - Iter [29650/160000] lr: 1.500e-04, eta: 7:38:23, time: 0.195, data_time: 0.007, memory: 59439, decode.loss_ce: 0.2103, decode.acc_seg: 91.4169, loss: 0.2103 +2023-03-04 02:55:50,387 - mmseg - INFO - Iter [29700/160000] lr: 1.500e-04, eta: 7:38:20, time: 0.241, data_time: 0.057, memory: 59439, decode.loss_ce: 0.2049, decode.acc_seg: 91.6671, loss: 0.2049 +2023-03-04 02:55:59,911 - mmseg - INFO - Iter [29750/160000] lr: 1.500e-04, eta: 7:38:05, time: 0.190, data_time: 0.007, memory: 59439, decode.loss_ce: 0.2127, decode.acc_seg: 91.2881, loss: 0.2127 +2023-03-04 02:56:09,510 - mmseg - INFO - Iter [29800/160000] lr: 1.500e-04, eta: 7:37:50, time: 0.192, data_time: 0.007, memory: 59439, decode.loss_ce: 0.2136, decode.acc_seg: 91.4177, loss: 0.2136 +2023-03-04 02:56:19,281 - mmseg - INFO - Iter [29850/160000] lr: 1.500e-04, eta: 7:37:36, time: 0.195, data_time: 0.007, memory: 59439, decode.loss_ce: 0.2125, decode.acc_seg: 91.3719, loss: 0.2125 +2023-03-04 02:56:29,028 - mmseg - INFO - Iter [29900/160000] lr: 1.500e-04, eta: 7:37:22, time: 0.195, data_time: 0.007, memory: 59439, decode.loss_ce: 0.2135, decode.acc_seg: 91.2231, loss: 0.2135 +2023-03-04 02:56:38,600 - mmseg - INFO - Iter [29950/160000] lr: 1.500e-04, eta: 7:37:07, time: 0.191, data_time: 0.007, memory: 59439, decode.loss_ce: 0.1902, decode.acc_seg: 92.1425, loss: 0.1902 +2023-03-04 02:56:48,301 - mmseg - INFO - Exp name: ablation_segformer_mit_b2_segformer_head_unet_fc_small_multi_step_ade_pretrained_freeze_embed_160k_ade20k151_finetune_ema_t20.py +2023-03-04 02:56:48,301 - mmseg - INFO - Iter [30000/160000] lr: 1.500e-04, eta: 7:36:53, time: 0.194, data_time: 0.007, memory: 59439, decode.loss_ce: 0.2182, decode.acc_seg: 91.2632, loss: 0.2182 +2023-03-04 02:56:57,935 - mmseg - INFO - Iter [30050/160000] lr: 1.500e-04, eta: 7:36:38, time: 0.193, data_time: 0.008, memory: 59439, decode.loss_ce: 0.2081, decode.acc_seg: 91.5561, loss: 0.2081 +2023-03-04 02:57:07,676 - mmseg - INFO - Iter [30100/160000] lr: 1.500e-04, eta: 7:36:24, time: 0.195, data_time: 0.007, memory: 59439, decode.loss_ce: 0.2086, decode.acc_seg: 91.4926, loss: 0.2086 +2023-03-04 02:57:17,361 - mmseg - INFO - Iter [30150/160000] lr: 1.500e-04, eta: 7:36:10, time: 0.194, data_time: 0.007, memory: 59439, decode.loss_ce: 0.2182, decode.acc_seg: 91.0953, loss: 0.2182 +2023-03-04 02:57:26,965 - mmseg - INFO - Iter [30200/160000] lr: 1.500e-04, eta: 7:35:56, time: 0.192, data_time: 0.007, memory: 59439, decode.loss_ce: 0.2123, decode.acc_seg: 91.3674, loss: 0.2123 +2023-03-04 02:57:36,448 - mmseg - INFO - Iter [30250/160000] lr: 1.500e-04, eta: 7:35:41, time: 0.190, data_time: 0.007, memory: 59439, decode.loss_ce: 0.2127, decode.acc_seg: 91.3229, loss: 0.2127 +2023-03-04 02:57:48,940 - mmseg - INFO - Iter [30300/160000] lr: 1.500e-04, eta: 7:35:38, time: 0.250, data_time: 0.055, memory: 59439, decode.loss_ce: 0.2104, decode.acc_seg: 91.4324, loss: 0.2104 +2023-03-04 02:57:58,948 - mmseg - INFO - Iter [30350/160000] lr: 1.500e-04, eta: 7:35:26, time: 0.200, data_time: 0.007, memory: 59439, decode.loss_ce: 0.2067, decode.acc_seg: 91.4978, loss: 0.2067 +2023-03-04 02:58:08,736 - mmseg - INFO - Iter [30400/160000] lr: 1.500e-04, eta: 7:35:12, time: 0.196, data_time: 0.007, memory: 59439, decode.loss_ce: 0.2003, decode.acc_seg: 91.8188, loss: 0.2003 +2023-03-04 02:58:18,671 - mmseg - INFO - Iter [30450/160000] lr: 1.500e-04, eta: 7:34:59, time: 0.199, data_time: 0.007, memory: 59439, decode.loss_ce: 0.2061, decode.acc_seg: 91.5900, loss: 0.2061 +2023-03-04 02:58:28,481 - mmseg - INFO - Iter [30500/160000] lr: 1.500e-04, eta: 7:34:45, time: 0.196, data_time: 0.007, memory: 59439, decode.loss_ce: 0.2050, decode.acc_seg: 91.6369, loss: 0.2050 +2023-03-04 02:58:38,128 - mmseg - INFO - Iter [30550/160000] lr: 1.500e-04, eta: 7:34:31, time: 0.193, data_time: 0.008, memory: 59439, decode.loss_ce: 0.2100, decode.acc_seg: 91.4672, loss: 0.2100 +2023-03-04 02:58:48,032 - mmseg - INFO - Iter [30600/160000] lr: 1.500e-04, eta: 7:34:18, time: 0.198, data_time: 0.007, memory: 59439, decode.loss_ce: 0.2113, decode.acc_seg: 91.3987, loss: 0.2113 +2023-03-04 02:58:57,909 - mmseg - INFO - Iter [30650/160000] lr: 1.500e-04, eta: 7:34:04, time: 0.197, data_time: 0.007, memory: 59439, decode.loss_ce: 0.2117, decode.acc_seg: 91.4435, loss: 0.2117 +2023-03-04 02:59:07,487 - mmseg - INFO - Iter [30700/160000] lr: 1.500e-04, eta: 7:33:50, time: 0.192, data_time: 0.008, memory: 59439, decode.loss_ce: 0.2090, decode.acc_seg: 91.4570, loss: 0.2090 +2023-03-04 02:59:17,043 - mmseg - INFO - Iter [30750/160000] lr: 1.500e-04, eta: 7:33:35, time: 0.191, data_time: 0.007, memory: 59439, decode.loss_ce: 0.1997, decode.acc_seg: 91.7779, loss: 0.1997 +2023-03-04 02:59:26,514 - mmseg - INFO - Iter [30800/160000] lr: 1.500e-04, eta: 7:33:20, time: 0.189, data_time: 0.007, memory: 59439, decode.loss_ce: 0.2103, decode.acc_seg: 91.4229, loss: 0.2103 +2023-03-04 02:59:36,136 - mmseg - INFO - Iter [30850/160000] lr: 1.500e-04, eta: 7:33:06, time: 0.192, data_time: 0.007, memory: 59439, decode.loss_ce: 0.2101, decode.acc_seg: 91.5194, loss: 0.2101 +2023-03-04 02:59:46,368 - mmseg - INFO - Iter [30900/160000] lr: 1.500e-04, eta: 7:32:54, time: 0.204, data_time: 0.007, memory: 59439, decode.loss_ce: 0.2201, decode.acc_seg: 91.1016, loss: 0.2201 +2023-03-04 02:59:58,433 - mmseg - INFO - Iter [30950/160000] lr: 1.500e-04, eta: 7:32:50, time: 0.241, data_time: 0.056, memory: 59439, decode.loss_ce: 0.2074, decode.acc_seg: 91.4426, loss: 0.2074 +2023-03-04 03:00:07,944 - mmseg - INFO - Exp name: ablation_segformer_mit_b2_segformer_head_unet_fc_small_multi_step_ade_pretrained_freeze_embed_160k_ade20k151_finetune_ema_t20.py +2023-03-04 03:00:07,944 - mmseg - INFO - Iter [31000/160000] lr: 1.500e-04, eta: 7:32:35, time: 0.190, data_time: 0.008, memory: 59439, decode.loss_ce: 0.2092, decode.acc_seg: 91.4458, loss: 0.2092 +2023-03-04 03:00:17,473 - mmseg - INFO - Iter [31050/160000] lr: 1.500e-04, eta: 7:32:21, time: 0.191, data_time: 0.007, memory: 59439, decode.loss_ce: 0.2001, decode.acc_seg: 91.8304, loss: 0.2001 +2023-03-04 03:00:27,089 - mmseg - INFO - Iter [31100/160000] lr: 1.500e-04, eta: 7:32:06, time: 0.192, data_time: 0.007, memory: 59439, decode.loss_ce: 0.2075, decode.acc_seg: 91.5033, loss: 0.2075 +2023-03-04 03:00:37,018 - mmseg - INFO - Iter [31150/160000] lr: 1.500e-04, eta: 7:31:53, time: 0.199, data_time: 0.008, memory: 59439, decode.loss_ce: 0.2098, decode.acc_seg: 91.4551, loss: 0.2098 +2023-03-04 03:00:46,983 - mmseg - INFO - Iter [31200/160000] lr: 1.500e-04, eta: 7:31:41, time: 0.199, data_time: 0.007, memory: 59439, decode.loss_ce: 0.2123, decode.acc_seg: 91.3819, loss: 0.2123 +2023-03-04 03:00:56,616 - mmseg - INFO - Iter [31250/160000] lr: 1.500e-04, eta: 7:31:26, time: 0.193, data_time: 0.008, memory: 59439, decode.loss_ce: 0.2058, decode.acc_seg: 91.5026, loss: 0.2058 +2023-03-04 03:01:06,209 - mmseg - INFO - Iter [31300/160000] lr: 1.500e-04, eta: 7:31:12, time: 0.192, data_time: 0.007, memory: 59439, decode.loss_ce: 0.2051, decode.acc_seg: 91.7325, loss: 0.2051 +2023-03-04 03:01:15,683 - mmseg - INFO - Iter [31350/160000] lr: 1.500e-04, eta: 7:30:57, time: 0.189, data_time: 0.007, memory: 59439, decode.loss_ce: 0.2142, decode.acc_seg: 91.2362, loss: 0.2142 +2023-03-04 03:01:25,496 - mmseg - INFO - Iter [31400/160000] lr: 1.500e-04, eta: 7:30:44, time: 0.196, data_time: 0.007, memory: 59439, decode.loss_ce: 0.2134, decode.acc_seg: 91.4031, loss: 0.2134 +2023-03-04 03:01:35,024 - mmseg - INFO - Iter [31450/160000] lr: 1.500e-04, eta: 7:30:29, time: 0.191, data_time: 0.008, memory: 59439, decode.loss_ce: 0.2115, decode.acc_seg: 91.4774, loss: 0.2115 +2023-03-04 03:01:44,724 - mmseg - INFO - Iter [31500/160000] lr: 1.500e-04, eta: 7:30:15, time: 0.194, data_time: 0.007, memory: 59439, decode.loss_ce: 0.2142, decode.acc_seg: 91.3175, loss: 0.2142 +2023-03-04 03:01:54,340 - mmseg - INFO - Iter [31550/160000] lr: 1.500e-04, eta: 7:30:01, time: 0.192, data_time: 0.007, memory: 59439, decode.loss_ce: 0.2199, decode.acc_seg: 91.0559, loss: 0.2199 +2023-03-04 03:02:06,410 - mmseg - INFO - Iter [31600/160000] lr: 1.500e-04, eta: 7:29:57, time: 0.241, data_time: 0.057, memory: 59439, decode.loss_ce: 0.1964, decode.acc_seg: 91.9345, loss: 0.1964 +2023-03-04 03:02:16,224 - mmseg - INFO - Iter [31650/160000] lr: 1.500e-04, eta: 7:29:44, time: 0.196, data_time: 0.008, memory: 59439, decode.loss_ce: 0.2122, decode.acc_seg: 91.3646, loss: 0.2122 +2023-03-04 03:02:25,754 - mmseg - INFO - Iter [31700/160000] lr: 1.500e-04, eta: 7:29:29, time: 0.191, data_time: 0.007, memory: 59439, decode.loss_ce: 0.2109, decode.acc_seg: 91.4410, loss: 0.2109 +2023-03-04 03:02:35,377 - mmseg - INFO - Iter [31750/160000] lr: 1.500e-04, eta: 7:29:15, time: 0.192, data_time: 0.007, memory: 59439, decode.loss_ce: 0.1987, decode.acc_seg: 91.8475, loss: 0.1987 +2023-03-04 03:02:45,095 - mmseg - INFO - Iter [31800/160000] lr: 1.500e-04, eta: 7:29:01, time: 0.194, data_time: 0.008, memory: 59439, decode.loss_ce: 0.2063, decode.acc_seg: 91.5022, loss: 0.2063 +2023-03-04 03:02:54,636 - mmseg - INFO - Iter [31850/160000] lr: 1.500e-04, eta: 7:28:47, time: 0.191, data_time: 0.007, memory: 59439, decode.loss_ce: 0.2116, decode.acc_seg: 91.3335, loss: 0.2116 +2023-03-04 03:03:04,498 - mmseg - INFO - Iter [31900/160000] lr: 1.500e-04, eta: 7:28:34, time: 0.197, data_time: 0.007, memory: 59439, decode.loss_ce: 0.2083, decode.acc_seg: 91.4809, loss: 0.2083 +2023-03-04 03:03:14,213 - mmseg - INFO - Iter [31950/160000] lr: 1.500e-04, eta: 7:28:20, time: 0.194, data_time: 0.007, memory: 59439, decode.loss_ce: 0.2049, decode.acc_seg: 91.6395, loss: 0.2049 +2023-03-04 03:03:23,769 - mmseg - INFO - Swap parameters (after train) after iter [32000] +2023-03-04 03:03:23,781 - mmseg - INFO - Saving checkpoint at 32000 iterations +2023-03-04 03:03:25,035 - mmseg - INFO - Exp name: ablation_segformer_mit_b2_segformer_head_unet_fc_small_multi_step_ade_pretrained_freeze_embed_160k_ade20k151_finetune_ema_t20.py +2023-03-04 03:03:25,035 - mmseg - INFO - Iter [32000/160000] lr: 1.500e-04, eta: 7:28:11, time: 0.216, data_time: 0.007, memory: 59439, decode.loss_ce: 0.2109, decode.acc_seg: 91.4425, loss: 0.2109 +2023-03-04 03:06:49,892 - mmseg - INFO - per class results: +2023-03-04 03:06:49,905 - mmseg - INFO - ++---------------------+-------------------------------------------------------------------------------------------------------------------------+ +| Class | IoU 0,1,2,3,4,5,6,7,8,9,10,11,12,13,14,15,16,17,18,19 | ++---------------------+-------------------------------------------------------------------------------------------------------------------------+ +| background | nan,nan,nan,nan,nan,nan,nan,nan,nan,nan,nan,nan,nan,nan,nan,nan,nan,nan,nan,nan | +| wall | 77.2,77.22,77.23,77.23,77.24,77.25,77.26,77.27,77.28,77.28,77.29,77.28,77.29,77.3,77.29,77.29,77.29,77.29,77.29,77.3 | +| building | 81.49,81.5,81.49,81.5,81.5,81.5,81.51,81.51,81.51,81.52,81.51,81.52,81.52,81.52,81.53,81.52,81.53,81.53,81.54,81.54 | +| sky | 94.46,94.47,94.47,94.47,94.47,94.47,94.47,94.47,94.47,94.47,94.48,94.47,94.48,94.47,94.48,94.48,94.48,94.48,94.48,94.48 | +| floor | 81.62,81.62,81.63,81.64,81.65,81.64,81.65,81.65,81.67,81.65,81.67,81.66,81.67,81.67,81.67,81.66,81.67,81.66,81.67,81.65 | +| tree | 74.05,74.05,74.05,74.04,74.04,74.05,74.05,74.05,74.04,74.04,74.06,74.04,74.05,74.03,74.05,74.04,74.05,74.02,74.04,74.03 | +| ceiling | 85.18,85.19,85.19,85.21,85.22,85.22,85.24,85.24,85.25,85.25,85.25,85.25,85.26,85.26,85.24,85.25,85.24,85.25,85.23,85.24 | +| road | 81.86,81.86,81.87,81.86,81.85,81.85,81.84,81.85,81.84,81.84,81.83,81.84,81.81,81.82,81.8,81.82,81.79,81.82,81.79,81.81 | +| bed | 87.48,87.5,87.51,87.51,87.49,87.52,87.53,87.51,87.55,87.51,87.53,87.53,87.56,87.54,87.54,87.54,87.55,87.53,87.53,87.53 | +| windowpane | 60.32,60.32,60.33,60.36,60.36,60.37,60.35,60.4,60.37,60.39,60.4,60.39,60.44,60.43,60.44,60.44,60.45,60.47,60.47,60.48 | +| grass | 66.97,66.99,67.0,67.03,67.03,67.03,67.05,67.07,67.07,67.1,67.09,67.12,67.12,67.15,67.14,67.16,67.16,67.16,67.17,67.18 | +| cabinet | 60.18,60.18,60.22,60.28,60.24,60.26,60.31,60.28,60.33,60.36,60.29,60.39,60.33,60.39,60.34,60.44,60.37,60.44,60.38,60.47 | +| sidewalk | 63.6,63.61,63.63,63.59,63.58,63.6,63.58,63.6,63.59,63.59,63.53,63.57,63.5,63.51,63.48,63.52,63.46,63.51,63.45,63.5 | +| person | 79.21,79.21,79.24,79.24,79.26,79.26,79.28,79.29,79.29,79.31,79.29,79.32,79.31,79.33,79.32,79.35,79.32,79.35,79.33,79.37 | +| earth | 35.64,35.64,35.65,35.65,35.66,35.65,35.68,35.69,35.66,35.68,35.66,35.65,35.7,35.68,35.68,35.69,35.69,35.69,35.69,35.68 | +| door | 44.8,44.85,44.85,44.86,44.86,44.89,44.9,44.92,44.93,44.94,44.95,44.97,45.02,44.99,45.03,45.03,45.04,45.07,45.07,45.11 | +| table | 59.82,59.84,59.84,59.89,59.88,59.86,59.94,59.92,59.97,59.96,60.0,60.0,60.01,60.0,60.02,60.03,60.02,60.06,60.04,60.08 | +| mountain | 56.61,56.59,56.58,56.59,56.6,56.56,56.56,56.61,56.53,56.62,56.55,56.68,56.57,56.64,56.61,56.66,56.67,56.69,56.68,56.67 | +| plant | 50.23,50.22,50.19,50.16,50.15,50.15,50.19,50.12,50.14,50.11,50.11,50.09,50.08,50.08,50.07,50.05,50.06,50.05,50.03,50.04 | +| curtain | 74.16,74.18,74.26,74.3,74.31,74.35,74.35,74.35,74.38,74.39,74.41,74.44,74.45,74.51,74.5,74.51,74.5,74.54,74.52,74.55 | +| chair | 55.82,55.86,55.88,55.92,55.89,55.88,55.95,55.95,55.99,55.95,56.0,55.99,56.02,56.0,56.0,55.99,56.01,56.01,56.03,56.0 | +| car | 81.49,81.53,81.55,81.55,81.56,81.58,81.59,81.59,81.58,81.59,81.6,81.6,81.57,81.6,81.58,81.6,81.57,81.61,81.56,81.6 | +| water | 56.91,56.94,56.93,56.97,56.97,56.97,56.97,56.97,57.0,57.02,57.0,57.02,57.02,57.04,57.02,57.05,57.05,57.06,57.05,57.06 | +| painting | 69.92,69.9,69.9,69.9,69.82,69.83,69.84,69.8,69.8,69.78,69.76,69.73,69.75,69.69,69.73,69.67,69.71,69.65,69.68,69.62 | +| sofa | 64.11,64.11,64.15,64.18,64.2,64.22,64.26,64.31,64.3,64.3,64.34,64.35,64.4,64.36,64.43,64.4,64.43,64.42,64.47,64.41 | +| shelf | 44.4,44.43,44.39,44.42,44.47,44.46,44.47,44.52,44.52,44.57,44.57,44.56,44.56,44.61,44.61,44.65,44.6,44.67,44.61,44.7 | +| house | 42.87,42.9,42.87,42.86,42.84,42.82,42.85,42.81,42.8,42.83,42.79,42.76,42.8,42.74,42.78,42.75,42.77,42.72,42.75,42.72 | +| sea | 59.83,59.86,59.87,59.93,59.92,59.91,59.94,59.96,59.97,59.98,59.99,59.99,60.04,60.02,60.0,60.01,60.03,60.02,60.03,60.03 | +| mirror | 64.49,64.49,64.56,64.54,64.55,64.59,64.54,64.65,64.65,64.67,64.69,64.68,64.68,64.7,64.8,64.76,64.76,64.78,64.77,64.79 | +| rug | 64.94,65.0,65.02,65.06,65.1,65.08,65.12,65.18,65.13,65.15,65.12,65.14,65.12,65.19,65.06,65.14,65.03,65.08,65.02,65.03 | +| field | 31.03,31.02,31.04,31.03,31.03,31.08,31.06,31.07,31.06,31.06,31.1,31.06,31.09,31.11,31.11,31.12,31.12,31.13,31.11,31.14 | +| armchair | 37.22,37.24,37.25,37.31,37.33,37.36,37.35,37.43,37.44,37.44,37.51,37.53,37.56,37.57,37.59,37.61,37.64,37.65,37.69,37.69 | +| seat | 65.83,65.77,65.84,65.85,65.83,65.85,65.83,65.87,65.86,65.93,65.87,65.87,65.91,65.9,65.91,65.92,65.95,65.93,65.98,65.96 | +| fence | 40.17,40.25,40.24,40.19,40.25,40.28,40.34,40.22,40.28,40.27,40.29,40.29,40.33,40.29,40.33,40.27,40.32,40.27,40.27,40.25 | +| desk | 45.74,45.71,45.67,45.68,45.7,45.7,45.63,45.64,45.6,45.66,45.58,45.61,45.61,45.57,45.54,45.55,45.51,45.56,45.49,45.57 | +| rock | 36.57,36.57,36.54,36.5,36.56,36.52,36.5,36.48,36.47,36.51,36.4,36.5,36.45,36.47,36.47,36.43,36.47,36.42,36.46,36.39 | +| wardrobe | 57.08,57.08,57.1,57.14,57.05,57.13,57.13,57.15,57.11,57.21,57.13,57.22,57.12,57.22,57.16,57.27,57.18,57.27,57.2,57.27 | +| lamp | 61.37,61.35,61.35,61.39,61.38,61.41,61.37,61.35,61.37,61.35,61.36,61.32,61.3,61.33,61.27,61.28,61.26,61.28,61.25,61.24 | +| bathtub | 74.75,74.68,74.61,74.69,74.65,74.62,74.61,74.7,74.68,74.81,74.7,74.61,74.76,74.72,74.81,74.91,74.96,75.11,75.06,75.13 | +| railing | 33.32,33.37,33.39,33.35,33.43,33.34,33.45,33.33,33.41,33.43,33.47,33.43,33.48,33.4,33.48,33.45,33.53,33.47,33.57,33.49 | +| cushion | 56.07,56.22,56.04,56.06,56.06,56.12,55.97,56.21,56.07,56.05,56.13,56.06,56.12,56.1,56.13,56.0,56.08,56.06,56.07,56.07 | +| base | 20.83,20.86,20.93,20.89,21.0,20.95,21.01,21.03,21.14,21.1,21.12,21.17,21.13,21.2,21.14,21.22,21.19,21.26,21.2,21.25 | +| box | 23.07,23.07,23.15,23.11,23.08,23.07,23.16,23.08,23.17,23.11,23.21,23.1,23.27,23.04,23.26,23.1,23.27,23.11,23.28,23.09 | +| column | 45.29,45.28,45.34,45.27,45.31,45.33,45.3,45.33,45.28,45.3,45.3,45.27,45.31,45.26,45.29,45.23,45.3,45.26,45.3,45.26 | +| signboard | 37.89,37.92,37.93,37.86,37.92,37.89,37.95,37.88,37.83,37.88,37.89,37.84,37.87,37.82,37.91,37.81,37.89,37.78,37.84,37.81 | +| chest of drawers | 35.85,35.85,35.91,35.89,36.01,35.99,36.05,36.01,36.03,36.2,36.04,36.2,36.12,36.19,36.09,36.27,36.13,36.23,36.1,36.24 | +| counter | 29.28,29.3,29.36,29.35,29.37,29.36,29.37,29.35,29.38,29.44,29.41,29.49,29.47,29.41,29.46,29.47,29.5,29.47,29.48,29.48 | +| sand | 41.69,41.68,41.65,41.66,41.7,41.69,41.68,41.68,41.64,41.67,41.68,41.64,41.61,41.61,41.6,41.59,41.58,41.56,41.54,41.52 | +| sink | 67.15,67.19,67.16,67.2,67.16,67.11,67.14,67.19,67.13,67.13,67.14,67.12,67.1,67.16,67.06,67.15,67.05,67.11,67.05,67.09 | +| skyscraper | 48.16,48.04,48.06,48.03,48.03,48.0,47.96,48.09,47.82,48.02,47.86,47.98,47.73,47.96,47.76,48.03,47.84,48.04,47.87,48.11 | +| fireplace | 75.53,75.57,75.62,75.66,75.62,75.62,75.64,75.55,75.77,75.7,75.74,75.78,75.76,75.83,75.86,75.89,75.86,75.98,75.92,75.99 | +| refrigerator | 73.77,73.91,73.96,74.03,73.99,74.14,74.17,74.04,74.28,74.09,74.49,74.07,74.64,74.09,74.71,74.0,74.69,73.95,74.66,73.93 | +| grandstand | 51.11,51.15,51.19,51.39,51.3,51.31,51.38,51.46,51.62,51.65,51.71,51.65,51.81,51.75,51.97,51.9,52.1,51.95,52.18,51.99 | +| path | 22.41,22.48,22.52,22.55,22.55,22.61,22.6,22.7,22.73,22.74,22.77,22.83,22.82,22.86,22.87,22.9,22.91,22.93,22.94,22.97 | +| stairs | 35.02,35.06,35.0,35.09,35.03,35.1,35.11,35.18,35.18,35.18,35.24,35.26,35.28,35.22,35.37,35.25,35.37,35.27,35.4,35.28 | +| runway | 67.34,67.37,67.46,67.47,67.45,67.48,67.55,67.56,67.6,67.61,67.65,67.63,67.65,67.66,67.66,67.65,67.7,67.66,67.71,67.68 | +| case | 46.83,46.88,46.94,46.97,46.91,47.03,47.03,47.1,47.09,47.08,47.15,47.11,47.19,47.15,47.18,47.14,47.23,47.21,47.25,47.24 | +| pool table | 91.78,91.78,91.79,91.8,91.81,91.81,91.84,91.84,91.84,91.88,91.84,91.87,91.88,91.88,91.89,91.91,91.92,91.92,91.93,91.93 | +| pillow | 60.18,60.32,60.21,60.27,60.36,60.29,60.27,60.53,60.31,60.45,60.38,60.44,60.45,60.49,60.52,60.4,60.46,60.48,60.52,60.51 | +| screen door | 67.02,66.95,67.11,66.92,66.96,66.96,67.05,67.1,66.9,67.16,66.85,66.98,66.93,66.84,67.02,66.72,67.03,66.7,66.89,66.67 | +| stairway | 25.02,25.09,25.15,25.14,25.17,25.26,25.28,25.39,25.34,25.42,25.42,25.46,25.45,25.46,25.46,25.55,25.44,25.56,25.45,25.59 | +| river | 11.99,11.98,11.99,11.98,11.98,11.98,11.98,11.99,11.98,11.97,11.99,12.0,11.99,11.99,11.98,12.0,11.98,12.0,11.98,11.99 | +| bridge | 31.45,31.55,31.49,31.59,31.53,31.69,31.63,31.57,31.67,31.78,31.69,31.75,31.68,31.67,31.62,31.72,31.72,31.81,31.8,31.9 | +| bookcase | 45.5,45.48,45.52,45.55,45.54,45.56,45.56,45.61,45.62,45.68,45.61,45.65,45.63,45.59,45.68,45.63,45.6,45.62,45.6,45.6 | +| blind | 38.62,38.73,38.61,38.74,38.6,38.85,38.71,38.71,38.7,38.79,38.84,38.71,38.93,38.91,39.04,38.93,39.17,39.07,39.31,39.21 | +| coffee table | 53.55,53.5,53.57,53.52,53.51,53.48,53.48,53.47,53.43,53.45,53.43,53.51,53.45,53.45,53.35,53.39,53.33,53.37,53.32,53.29 | +| toilet | 83.51,83.51,83.49,83.52,83.51,83.46,83.48,83.47,83.48,83.47,83.46,83.54,83.4,83.48,83.4,83.49,83.38,83.5,83.4,83.49 | +| flower | 38.99,39.06,39.03,39.09,39.11,39.1,39.2,39.07,39.11,39.05,39.17,39.13,39.15,39.16,39.14,39.09,39.22,39.18,39.19,39.16 | +| book | 44.5,44.49,44.55,44.51,44.53,44.51,44.51,44.57,44.56,44.51,44.59,44.59,44.62,44.58,44.61,44.68,44.59,44.73,44.67,44.77 | +| hill | 14.71,14.71,14.66,14.69,14.61,14.63,14.5,14.65,14.48,14.57,14.42,14.54,14.43,14.48,14.36,14.46,14.35,14.5,14.33,14.47 | +| bench | 42.51,42.5,42.54,42.59,42.47,42.53,42.52,42.53,42.5,42.41,42.59,42.44,42.56,42.46,42.57,42.42,42.53,42.45,42.54,42.46 | +| countertop | 54.68,54.63,54.69,54.59,54.66,54.58,54.6,54.63,54.7,54.64,54.71,54.65,54.77,54.7,54.78,54.69,54.8,54.7,54.81,54.72 | +| stove | 70.62,70.65,70.68,70.61,70.55,70.65,70.61,70.63,70.66,70.63,70.72,70.75,70.72,70.64,70.79,70.64,70.76,70.66,70.71,70.63 | +| palm | 47.96,48.06,47.87,47.87,47.86,48.01,47.87,47.82,47.78,47.79,47.74,47.71,47.61,47.59,47.61,47.55,47.38,47.57,47.43,47.56 | +| kitchen island | 42.98,43.06,43.08,43.16,43.15,43.21,43.29,43.27,43.43,43.34,43.42,43.5,43.39,43.48,43.44,43.51,43.43,43.56,43.49,43.6 | +| computer | 60.09,60.19,60.18,60.23,60.23,60.21,60.31,60.27,60.3,60.27,60.32,60.32,60.35,60.39,60.38,60.39,60.41,60.42,60.42,60.47 | +| swivel chair | 45.62,45.58,45.65,45.62,45.62,45.56,45.45,45.59,45.68,45.63,45.59,45.6,45.61,45.67,45.6,45.55,45.52,45.61,45.53,45.6 | +| boat | 72.39,72.48,72.32,72.37,72.39,72.35,72.32,72.34,72.3,72.3,72.24,72.26,72.29,72.28,72.34,72.2,72.31,72.21,72.3,72.24 | +| bar | 22.9,22.88,22.91,22.84,22.89,22.88,22.87,22.87,22.83,22.83,22.81,22.81,22.79,22.8,22.78,22.77,22.75,22.74,22.74,22.73 | +| arcade machine | 69.01,69.02,69.01,69.15,69.23,69.39,69.34,69.73,69.59,70.0,69.92,70.04,70.2,70.44,70.26,70.57,70.45,70.83,70.71,71.07 | +| hovel | 30.02,29.99,30.11,29.78,29.78,29.68,29.7,29.7,29.63,29.39,29.46,29.28,29.28,29.25,29.18,29.13,28.98,29.05,28.86,29.0 | +| bus | 79.25,79.28,79.28,79.25,79.33,79.37,79.24,79.32,79.29,79.21,79.31,79.24,79.24,79.19,79.26,79.16,79.27,79.14,79.23,79.12 | +| towel | 62.51,62.53,62.48,62.39,62.38,62.36,62.38,62.34,62.34,62.36,62.32,62.28,62.23,62.25,62.13,62.27,62.08,62.19,61.97,62.1 | +| light | 54.85,54.91,54.94,54.9,54.93,54.92,54.96,54.92,54.93,55.0,54.93,54.96,54.94,54.95,54.96,54.91,54.91,54.84,54.89,54.85 | +| truck | 17.77,17.77,17.74,17.84,17.67,17.66,17.65,17.65,17.59,17.48,17.44,17.42,17.36,17.27,17.33,17.19,17.38,17.19,17.32,17.11 | +| tower | 9.52,9.5,9.48,9.55,9.5,9.51,9.51,9.52,9.51,9.55,9.52,9.58,9.56,9.54,9.57,9.56,9.54,9.59,9.55,9.6 | +| chandelier | 64.17,64.25,64.2,64.21,64.27,64.32,64.29,64.23,64.15,64.27,64.24,64.31,64.32,64.34,64.24,64.38,64.27,64.33,64.25,64.32 | +| awning | 23.59,23.64,23.68,23.75,23.77,23.77,23.86,23.87,23.91,24.0,23.93,23.91,23.98,23.95,24.07,23.93,24.01,23.95,24.06,23.97 | +| streetlight | 26.14,26.25,26.08,26.17,26.15,26.12,26.16,26.12,26.15,26.13,26.15,26.09,26.13,26.17,26.14,26.16,26.16,26.16,26.18,26.18 | +| booth | 44.61,44.66,44.89,44.75,45.05,45.06,45.05,45.4,45.36,45.38,45.62,45.58,45.52,45.68,45.63,45.64,45.82,45.69,45.82,45.77 | +| television receiver | 62.89,62.96,62.97,62.98,62.91,62.93,62.86,62.97,62.96,63.07,63.02,63.05,62.98,63.08,63.0,63.05,63.06,63.07,63.09,63.09 | +| airplane | 57.54,57.65,57.68,57.65,57.64,57.64,57.65,57.72,57.71,57.67,57.67,57.67,57.73,57.66,57.68,57.7,57.65,57.69,57.62,57.65 | +| dirt track | 20.99,21.19,21.17,21.24,21.31,21.4,21.4,21.45,21.58,21.53,21.66,21.58,21.68,21.62,21.68,21.62,21.69,21.65,21.72,21.68 | +| apparel | 34.07,34.24,34.21,34.2,34.22,34.21,34.22,34.23,34.3,34.38,34.42,34.4,34.36,34.45,34.34,34.42,34.38,34.49,34.44,34.48 | +| pole | 18.49,18.54,18.41,18.19,18.18,18.14,18.13,18.04,18.01,17.88,17.9,17.8,17.69,17.73,17.53,17.61,17.41,17.56,17.33,17.48 | +| land | 3.6,3.59,3.58,3.58,3.56,3.63,3.58,3.6,3.57,3.62,3.57,3.67,3.57,3.7,3.56,3.71,3.54,3.7,3.55,3.7 | +| bannister | 11.26,11.23,11.35,11.34,11.5,11.49,11.42,11.53,11.54,11.64,11.59,11.69,11.74,11.75,11.67,11.77,11.69,11.83,11.7,11.85 | +| escalator | 24.24,24.29,24.29,24.31,24.42,24.37,24.44,24.46,24.53,24.56,24.6,24.61,24.65,24.66,24.63,24.65,24.72,24.69,24.7,24.73 | +| ottoman | 43.5,43.41,43.42,43.4,43.43,43.3,43.42,43.25,43.34,43.07,43.28,42.99,43.26,43.08,43.29,43.02,43.27,42.96,43.28,42.93 | +| bottle | 35.27,35.33,35.31,35.32,35.29,35.23,35.28,35.23,35.16,35.22,35.18,35.15,35.09,35.1,35.02,35.04,34.94,35.07,34.85,35.04 | +| buffet | 38.77,38.9,38.98,39.31,39.25,39.45,39.53,39.76,39.62,40.15,40.13,40.56,40.28,40.69,40.53,40.89,40.73,41.03,40.86,41.27 | +| poster | 22.82,22.85,22.84,22.82,22.59,22.73,22.69,22.63,22.63,22.64,22.44,22.63,22.36,22.45,22.25,22.37,22.11,22.26,22.04,22.22 | +| stage | 13.82,13.78,13.75,13.86,13.87,13.77,13.85,13.76,13.92,13.91,14.08,13.84,14.05,13.91,14.05,13.91,13.99,13.87,14.0,13.85 | +| van | 39.26,39.36,39.35,39.43,39.42,39.45,39.41,39.53,39.44,39.46,39.48,39.46,39.5,39.47,39.46,39.54,39.43,39.51,39.45,39.49 | +| ship | 81.42,81.38,81.6,81.73,82.01,81.79,82.16,81.88,82.29,82.02,82.27,82.03,82.18,82.02,82.16,81.92,82.11,81.91,82.04,81.88 | +| fountain | 16.9,16.89,16.95,17.08,17.2,17.14,17.21,17.36,17.57,17.56,17.62,17.66,17.81,17.91,17.95,17.92,18.16,18.12,18.31,18.3 | +| conveyer belt | 83.38,83.32,83.35,83.42,83.56,83.43,83.44,83.48,83.4,83.45,83.56,83.44,83.54,83.44,83.57,83.31,83.63,83.28,83.52,83.28 | +| canopy | 22.73,22.87,22.95,23.03,23.12,23.24,23.22,23.35,23.4,23.56,23.53,23.5,23.67,23.65,23.74,23.74,23.95,23.77,23.98,23.88 | +| washer | 74.81,74.92,74.94,75.05,75.06,74.97,75.04,75.0,75.15,75.15,75.18,75.27,75.23,75.35,75.34,75.38,75.56,75.41,75.55,75.53 | +| plaything | 22.17,22.18,22.05,22.09,22.02,22.08,22.03,22.05,22.09,22.09,22.12,22.07,21.99,21.97,22.09,21.98,22.02,22.01,21.94,21.99 | +| swimming pool | 72.65,72.63,72.7,72.85,73.02,73.08,72.98,73.09,73.29,73.17,73.55,73.52,73.72,73.61,73.86,73.61,73.91,73.81,73.99,73.97 | +| stool | 44.64,44.6,44.79,44.73,44.78,44.71,44.81,44.87,44.94,44.95,44.87,45.08,44.9,45.06,44.97,45.14,44.99,45.08,45.03,45.1 | +| barrel | 41.99,42.51,42.12,41.93,41.45,40.97,41.09,40.76,40.79,40.9,40.05,39.73,40.21,39.38,39.67,39.81,39.32,38.74,39.03,38.77 | +| basket | 23.66,23.66,23.74,23.75,23.72,23.74,23.7,23.75,23.75,23.71,23.75,23.8,23.76,23.85,23.75,23.9,23.78,23.84,23.76,23.82 | +| waterfall | 48.98,49.11,49.1,49.14,49.07,49.05,48.95,48.98,49.04,48.92,49.07,48.9,48.94,48.98,48.84,48.93,48.95,48.92,48.88,48.83 | +| tent | 94.6,94.64,94.61,94.59,94.66,94.62,94.61,94.64,94.64,94.64,94.66,94.61,94.64,94.63,94.59,94.63,94.63,94.59,94.61,94.59 | +| bag | 15.59,15.56,15.69,15.68,15.8,15.81,15.89,15.88,15.89,15.93,15.91,15.99,15.99,15.97,15.99,16.12,16.12,16.15,16.2,16.23 | +| minibike | 61.51,61.55,61.58,61.63,61.71,61.72,61.68,61.78,61.75,61.78,61.79,61.84,61.72,61.97,61.85,61.9,61.91,61.95,61.89,62.04 | +| cradle | 83.57,83.6,83.6,83.58,83.66,83.66,83.71,83.7,83.79,83.8,83.79,83.82,83.84,83.83,83.89,83.89,83.88,83.95,83.91,83.97 | +| oven | 47.17,47.22,47.26,47.07,47.27,47.14,47.2,47.16,47.32,47.31,47.47,47.27,47.34,47.39,47.42,47.33,47.32,47.26,47.32,47.24 | +| ball | 48.47,48.58,48.47,48.51,48.51,48.42,48.36,48.54,48.44,48.35,48.33,48.29,48.13,48.33,48.2,48.19,48.1,48.17,48.04,48.14 | +| food | 54.08,54.06,54.2,54.28,54.3,54.31,54.42,54.47,54.59,54.6,54.66,54.76,54.71,54.82,54.8,54.89,54.83,55.0,54.97,55.04 | +| step | 6.28,6.23,6.37,6.28,6.28,6.24,6.22,6.23,6.19,6.24,6.22,6.24,6.18,6.2,6.2,6.21,6.16,6.18,6.15,6.15 | +| tank | 50.87,50.77,50.75,50.76,50.77,50.67,50.66,50.64,50.63,50.55,50.57,50.63,50.51,50.6,50.51,50.54,50.5,50.48,50.42,50.46 | +| trade name | 28.89,28.96,28.94,28.92,28.96,28.99,29.09,29.02,29.03,28.94,28.95,29.01,28.95,28.96,29.0,28.95,28.95,28.98,28.97,28.98 | +| microwave | 72.69,72.66,72.77,72.8,72.87,73.01,72.92,73.06,73.12,73.24,73.15,73.29,73.33,73.22,73.42,73.34,73.39,73.37,73.42,73.41 | +| pot | 29.3,29.3,29.39,29.36,29.43,29.39,29.45,29.45,29.44,29.4,29.47,29.41,29.47,29.48,29.49,29.49,29.43,29.49,29.48,29.51 | +| animal | 54.35,54.4,54.43,54.42,54.49,54.49,54.5,54.46,54.55,54.56,54.57,54.59,54.59,54.61,54.67,54.62,54.67,54.64,54.67,54.69 | +| bicycle | 53.77,53.78,53.78,53.79,53.93,53.75,53.89,53.86,53.87,53.96,53.92,53.98,54.04,54.09,54.02,54.1,54.12,54.11,54.08,54.12 | +| lake | 57.22,57.22,57.27,57.24,57.23,57.25,57.24,57.24,57.23,57.24,57.22,57.24,57.21,57.22,57.2,57.21,57.18,57.2,57.16,57.2 | +| dishwasher | 64.13,64.04,63.91,64.1,63.81,63.91,63.82,63.99,63.64,63.5,63.7,63.53,63.87,63.23,63.86,63.21,63.7,63.17,63.73,63.08 | +| screen | 67.53,67.2,66.74,66.69,66.66,66.57,66.48,66.6,66.33,66.42,66.12,66.14,65.97,66.0,65.83,65.92,65.75,65.86,65.66,65.8 | +| blanket | 17.76,17.74,17.74,17.62,17.61,17.67,17.59,17.59,17.53,17.64,17.51,17.49,17.47,17.48,17.45,17.42,17.36,17.35,17.28,17.24 | +| sculpture | 56.96,56.99,56.82,56.78,56.8,56.59,56.6,56.51,56.45,56.26,56.26,56.17,56.22,56.01,56.13,55.77,56.02,55.77,55.86,55.65 | +| hood | 58.49,58.53,58.42,58.47,58.51,58.75,58.67,58.6,58.68,58.7,58.64,58.64,58.67,58.69,58.9,58.48,58.93,58.48,58.88,58.43 | +| sconce | 41.81,41.71,41.89,41.86,41.97,42.02,41.99,42.27,42.03,42.28,42.19,42.23,42.42,42.28,42.58,42.4,42.54,42.56,42.64,42.58 | +| vase | 36.49,36.57,36.47,36.48,36.61,36.53,36.63,36.49,36.69,36.47,36.64,36.58,36.58,36.63,36.55,36.63,36.65,36.66,36.78,36.66 | +| traffic light | 32.98,33.16,33.12,33.11,33.11,33.18,33.21,33.22,33.34,33.33,33.29,33.3,33.33,33.44,33.48,33.51,33.47,33.59,33.57,33.62 | +| tray | 6.01,6.11,6.05,6.2,6.13,6.25,6.23,6.31,6.34,6.37,6.39,6.43,6.44,6.49,6.59,6.58,6.64,6.67,6.71,6.67 | +| ashcan | 41.47,41.4,41.39,41.49,41.36,41.35,41.42,41.41,41.31,41.37,41.25,41.38,41.23,41.31,41.19,41.32,41.28,41.3,41.21,41.25 | +| fan | 57.87,57.87,57.94,57.92,57.95,58.0,58.01,58.01,57.91,57.99,57.93,57.96,58.01,57.88,57.92,57.92,57.89,57.74,57.87,57.84 | +| pier | 49.11,49.54,49.55,49.46,49.69,49.89,49.64,49.76,49.87,49.96,50.14,49.93,50.21,50.18,50.02,50.09,50.22,50.15,50.24,50.25 | +| crt screen | 10.25,10.26,10.23,10.27,10.28,10.28,10.26,10.26,10.27,10.2,10.33,10.2,10.3,10.14,10.32,10.1,10.24,10.07,10.19,10.04 | +| plate | 52.12,52.08,52.08,52.16,52.21,52.21,52.19,52.09,52.32,52.19,52.22,52.22,52.36,52.3,52.35,52.33,52.31,52.34,52.31,52.34 | +| monitor | 20.22,20.11,19.96,19.83,19.79,19.78,19.66,19.53,19.47,19.36,19.28,19.27,19.19,19.11,18.97,18.84,18.87,18.75,18.68,18.55 | +| bulletin board | 38.52,38.37,38.54,38.61,38.52,38.66,38.72,38.8,38.65,38.57,38.87,38.64,38.79,38.67,38.68,38.6,38.83,38.61,38.76,38.76 | +| shower | 1.66,1.65,1.71,1.7,1.79,1.66,1.76,1.73,1.76,1.68,1.76,1.72,1.77,1.76,1.74,1.66,1.77,1.67,1.76,1.67 | +| radiator | 59.38,59.5,59.73,59.59,59.8,59.79,59.93,60.06,59.97,60.16,60.14,60.35,60.32,60.35,60.3,60.53,60.46,60.69,60.65,60.8 | +| glass | 13.7,13.63,13.66,13.61,13.63,13.67,13.69,13.65,13.6,13.68,13.62,13.69,13.66,13.67,13.58,13.63,13.61,13.63,13.62,13.6 | +| clock | 35.71,35.84,35.78,35.99,35.85,35.83,35.98,35.95,35.92,35.92,36.01,36.03,35.71,35.73,35.81,35.73,35.62,35.58,35.59,35.6 | +| flag | 35.73,35.84,35.8,35.74,35.89,35.76,35.97,35.86,35.87,36.0,36.02,35.85,36.0,35.95,35.83,36.01,35.89,36.03,35.83,36.0 | ++---------------------+-------------------------------------------------------------------------------------------------------------------------+ +2023-03-04 03:06:49,906 - mmseg - INFO - Summary: +2023-03-04 03:06:49,906 - mmseg - INFO - ++---------------------------------------------------------------------------------------------------------------------+ +| mIoU 0,1,2,3,4,5,6,7,8,9,10,11,12,13,14,15,16,17,18,19 | ++---------------------------------------------------------------------------------------------------------------------+ +| 48.29,48.32,48.33,48.34,48.35,48.35,48.36,48.38,48.38,48.39,48.4,48.4,48.41,48.4,48.42,48.4,48.42,48.41,48.42,48.42 | ++---------------------------------------------------------------------------------------------------------------------+ +2023-03-04 03:06:49,940 - mmseg - INFO - The previous best checkpoint /mnt/petrelfs/laizeqiang/mmseg-baseline/work_dirs2/ablation_segformer_mit_b2_segformer_head_unet_fc_small_multi_step_ade_pretrained_freeze_embed_160k_ade20k151_finetune_ema_t20/best_mIoU_iter_16000.pth was removed +2023-03-04 03:06:50,916 - mmseg - INFO - Now best checkpoint is saved as best_mIoU_iter_32000.pth. +2023-03-04 03:06:50,916 - mmseg - INFO - Best mIoU is 0.4842 at 32000 iter. +2023-03-04 03:06:50,916 - mmseg - INFO - Exp name: ablation_segformer_mit_b2_segformer_head_unet_fc_small_multi_step_ade_pretrained_freeze_embed_160k_ade20k151_finetune_ema_t20.py +2023-03-04 03:06:50,917 - mmseg - INFO - Iter(val) [250] mIoU: [0.4829, 0.4832, 0.4833, 0.4834, 0.4835, 0.4835, 0.4836, 0.4838, 0.4838, 0.4839, 0.484, 0.484, 0.4841, 0.484, 0.4842, 0.484, 0.4842, 0.4841, 0.4842, 0.4842], copy_paste: 48.29,48.32,48.33,48.34,48.35,48.35,48.36,48.38,48.38,48.39,48.4,48.4,48.41,48.4,48.42,48.4,48.42,48.41,48.42,48.42 +2023-03-04 03:06:50,924 - mmseg - INFO - Swap parameters (before train) before iter [32001] +2023-03-04 03:07:01,012 - mmseg - INFO - Iter [32050/160000] lr: 1.500e-04, eta: 7:41:41, time: 4.320, data_time: 4.125, memory: 59439, decode.loss_ce: 0.2120, decode.acc_seg: 91.3843, loss: 0.2120 +2023-03-04 03:07:11,148 - mmseg - INFO - Iter [32100/160000] lr: 1.500e-04, eta: 7:41:27, time: 0.203, data_time: 0.007, memory: 59439, decode.loss_ce: 0.2120, decode.acc_seg: 91.3496, loss: 0.2120 +2023-03-04 03:07:20,759 - mmseg - INFO - Iter [32150/160000] lr: 1.500e-04, eta: 7:41:12, time: 0.192, data_time: 0.008, memory: 59439, decode.loss_ce: 0.2193, decode.acc_seg: 91.0195, loss: 0.2193 +2023-03-04 03:07:33,550 - mmseg - INFO - Iter [32200/160000] lr: 1.500e-04, eta: 7:41:09, time: 0.256, data_time: 0.057, memory: 59439, decode.loss_ce: 0.2104, decode.acc_seg: 91.4757, loss: 0.2104 +2023-03-04 03:07:43,095 - mmseg - INFO - Iter [32250/160000] lr: 1.500e-04, eta: 7:40:53, time: 0.191, data_time: 0.007, memory: 59439, decode.loss_ce: 0.2061, decode.acc_seg: 91.4517, loss: 0.2061 +2023-03-04 03:07:52,743 - mmseg - INFO - Iter [32300/160000] lr: 1.500e-04, eta: 7:40:37, time: 0.193, data_time: 0.008, memory: 59439, decode.loss_ce: 0.2060, decode.acc_seg: 91.5743, loss: 0.2060 +2023-03-04 03:08:02,854 - mmseg - INFO - Iter [32350/160000] lr: 1.500e-04, eta: 7:40:24, time: 0.202, data_time: 0.008, memory: 59439, decode.loss_ce: 0.2016, decode.acc_seg: 91.7466, loss: 0.2016 +2023-03-04 03:08:12,804 - mmseg - INFO - Iter [32400/160000] lr: 1.500e-04, eta: 7:40:09, time: 0.199, data_time: 0.007, memory: 59439, decode.loss_ce: 0.2084, decode.acc_seg: 91.4010, loss: 0.2084 +2023-03-04 03:08:22,524 - mmseg - INFO - Iter [32450/160000] lr: 1.500e-04, eta: 7:39:54, time: 0.195, data_time: 0.008, memory: 59439, decode.loss_ce: 0.2031, decode.acc_seg: 91.7664, loss: 0.2031 +2023-03-04 03:08:32,404 - mmseg - INFO - Iter [32500/160000] lr: 1.500e-04, eta: 7:39:40, time: 0.197, data_time: 0.008, memory: 59439, decode.loss_ce: 0.2006, decode.acc_seg: 91.7647, loss: 0.2006 +2023-03-04 03:08:42,268 - mmseg - INFO - Iter [32550/160000] lr: 1.500e-04, eta: 7:39:25, time: 0.198, data_time: 0.008, memory: 59439, decode.loss_ce: 0.2066, decode.acc_seg: 91.5148, loss: 0.2066 +2023-03-04 03:08:51,836 - mmseg - INFO - Iter [32600/160000] lr: 1.500e-04, eta: 7:39:09, time: 0.191, data_time: 0.007, memory: 59439, decode.loss_ce: 0.2041, decode.acc_seg: 91.5397, loss: 0.2041 +2023-03-04 03:09:01,489 - mmseg - INFO - Iter [32650/160000] lr: 1.500e-04, eta: 7:38:54, time: 0.193, data_time: 0.008, memory: 59439, decode.loss_ce: 0.2094, decode.acc_seg: 91.3978, loss: 0.2094 +2023-03-04 03:09:11,143 - mmseg - INFO - Iter [32700/160000] lr: 1.500e-04, eta: 7:38:39, time: 0.193, data_time: 0.008, memory: 59439, decode.loss_ce: 0.2020, decode.acc_seg: 91.7263, loss: 0.2020 +2023-03-04 03:09:21,101 - mmseg - INFO - Iter [32750/160000] lr: 1.500e-04, eta: 7:38:25, time: 0.199, data_time: 0.008, memory: 59439, decode.loss_ce: 0.2032, decode.acc_seg: 91.6438, loss: 0.2032 +2023-03-04 03:09:30,647 - mmseg - INFO - Iter [32800/160000] lr: 1.500e-04, eta: 7:38:09, time: 0.191, data_time: 0.007, memory: 59439, decode.loss_ce: 0.2127, decode.acc_seg: 91.4362, loss: 0.2127 +2023-03-04 03:09:42,999 - mmseg - INFO - Iter [32850/160000] lr: 1.500e-04, eta: 7:38:04, time: 0.247, data_time: 0.054, memory: 59439, decode.loss_ce: 0.2089, decode.acc_seg: 91.4747, loss: 0.2089 +2023-03-04 03:09:52,713 - mmseg - INFO - Iter [32900/160000] lr: 1.500e-04, eta: 7:37:49, time: 0.195, data_time: 0.008, memory: 59439, decode.loss_ce: 0.2136, decode.acc_seg: 91.3192, loss: 0.2136 +2023-03-04 03:10:02,383 - mmseg - INFO - Iter [32950/160000] lr: 1.500e-04, eta: 7:37:34, time: 0.193, data_time: 0.007, memory: 59439, decode.loss_ce: 0.2215, decode.acc_seg: 90.9331, loss: 0.2215 +2023-03-04 03:10:12,231 - mmseg - INFO - Exp name: ablation_segformer_mit_b2_segformer_head_unet_fc_small_multi_step_ade_pretrained_freeze_embed_160k_ade20k151_finetune_ema_t20.py +2023-03-04 03:10:12,231 - mmseg - INFO - Iter [33000/160000] lr: 1.500e-04, eta: 7:37:19, time: 0.197, data_time: 0.007, memory: 59439, decode.loss_ce: 0.2021, decode.acc_seg: 91.7221, loss: 0.2021 +2023-03-04 03:10:21,825 - mmseg - INFO - Iter [33050/160000] lr: 1.500e-04, eta: 7:37:04, time: 0.192, data_time: 0.008, memory: 59439, decode.loss_ce: 0.2152, decode.acc_seg: 91.3762, loss: 0.2152 +2023-03-04 03:10:31,612 - mmseg - INFO - Iter [33100/160000] lr: 1.500e-04, eta: 7:36:49, time: 0.196, data_time: 0.008, memory: 59439, decode.loss_ce: 0.2110, decode.acc_seg: 91.3101, loss: 0.2110 +2023-03-04 03:10:41,215 - mmseg - INFO - Iter [33150/160000] lr: 1.500e-04, eta: 7:36:34, time: 0.192, data_time: 0.008, memory: 59439, decode.loss_ce: 0.2076, decode.acc_seg: 91.6375, loss: 0.2076 +2023-03-04 03:10:50,696 - mmseg - INFO - Iter [33200/160000] lr: 1.500e-04, eta: 7:36:18, time: 0.190, data_time: 0.008, memory: 59439, decode.loss_ce: 0.2037, decode.acc_seg: 91.6224, loss: 0.2037 +2023-03-04 03:11:00,374 - mmseg - INFO - Iter [33250/160000] lr: 1.500e-04, eta: 7:36:03, time: 0.194, data_time: 0.007, memory: 59439, decode.loss_ce: 0.2010, decode.acc_seg: 91.6994, loss: 0.2010 +2023-03-04 03:11:10,589 - mmseg - INFO - Iter [33300/160000] lr: 1.500e-04, eta: 7:35:50, time: 0.204, data_time: 0.007, memory: 59439, decode.loss_ce: 0.1970, decode.acc_seg: 91.9484, loss: 0.1970 +2023-03-04 03:11:20,227 - mmseg - INFO - Iter [33350/160000] lr: 1.500e-04, eta: 7:35:35, time: 0.193, data_time: 0.008, memory: 59439, decode.loss_ce: 0.2088, decode.acc_seg: 91.4676, loss: 0.2088 +2023-03-04 03:11:30,001 - mmseg - INFO - Iter [33400/160000] lr: 1.500e-04, eta: 7:35:20, time: 0.195, data_time: 0.008, memory: 59439, decode.loss_ce: 0.2143, decode.acc_seg: 91.3190, loss: 0.2143 +2023-03-04 03:11:42,324 - mmseg - INFO - Iter [33450/160000] lr: 1.500e-04, eta: 7:35:15, time: 0.246, data_time: 0.054, memory: 59439, decode.loss_ce: 0.2045, decode.acc_seg: 91.5133, loss: 0.2045 +2023-03-04 03:11:52,049 - mmseg - INFO - Iter [33500/160000] lr: 1.500e-04, eta: 7:35:00, time: 0.194, data_time: 0.007, memory: 59439, decode.loss_ce: 0.2117, decode.acc_seg: 91.3280, loss: 0.2117 +2023-03-04 03:12:01,761 - mmseg - INFO - Iter [33550/160000] lr: 1.500e-04, eta: 7:34:46, time: 0.194, data_time: 0.008, memory: 59439, decode.loss_ce: 0.2164, decode.acc_seg: 91.2150, loss: 0.2164 +2023-03-04 03:12:11,376 - mmseg - INFO - Iter [33600/160000] lr: 1.500e-04, eta: 7:34:30, time: 0.192, data_time: 0.007, memory: 59439, decode.loss_ce: 0.2128, decode.acc_seg: 91.1776, loss: 0.2128 +2023-03-04 03:12:20,951 - mmseg - INFO - Iter [33650/160000] lr: 1.500e-04, eta: 7:34:15, time: 0.191, data_time: 0.008, memory: 59439, decode.loss_ce: 0.2160, decode.acc_seg: 91.2372, loss: 0.2160 +2023-03-04 03:12:30,576 - mmseg - INFO - Iter [33700/160000] lr: 1.500e-04, eta: 7:34:00, time: 0.192, data_time: 0.007, memory: 59439, decode.loss_ce: 0.2061, decode.acc_seg: 91.5931, loss: 0.2061 +2023-03-04 03:12:40,174 - mmseg - INFO - Iter [33750/160000] lr: 1.500e-04, eta: 7:33:45, time: 0.192, data_time: 0.007, memory: 59439, decode.loss_ce: 0.2063, decode.acc_seg: 91.5739, loss: 0.2063 +2023-03-04 03:12:49,810 - mmseg - INFO - Iter [33800/160000] lr: 1.500e-04, eta: 7:33:30, time: 0.193, data_time: 0.007, memory: 59439, decode.loss_ce: 0.2075, decode.acc_seg: 91.6268, loss: 0.2075 +2023-03-04 03:12:59,342 - mmseg - INFO - Iter [33850/160000] lr: 1.500e-04, eta: 7:33:14, time: 0.190, data_time: 0.008, memory: 59439, decode.loss_ce: 0.2041, decode.acc_seg: 91.5356, loss: 0.2041 +2023-03-04 03:13:08,953 - mmseg - INFO - Iter [33900/160000] lr: 1.500e-04, eta: 7:32:59, time: 0.192, data_time: 0.008, memory: 59439, decode.loss_ce: 0.2031, decode.acc_seg: 91.7711, loss: 0.2031 +2023-03-04 03:13:18,587 - mmseg - INFO - Iter [33950/160000] lr: 1.500e-04, eta: 7:32:44, time: 0.193, data_time: 0.008, memory: 59439, decode.loss_ce: 0.2166, decode.acc_seg: 91.1685, loss: 0.2166 +2023-03-04 03:13:28,164 - mmseg - INFO - Exp name: ablation_segformer_mit_b2_segformer_head_unet_fc_small_multi_step_ade_pretrained_freeze_embed_160k_ade20k151_finetune_ema_t20.py +2023-03-04 03:13:28,164 - mmseg - INFO - Iter [34000/160000] lr: 1.500e-04, eta: 7:32:29, time: 0.192, data_time: 0.008, memory: 59439, decode.loss_ce: 0.1999, decode.acc_seg: 91.8154, loss: 0.1999 +2023-03-04 03:13:37,859 - mmseg - INFO - Iter [34050/160000] lr: 1.500e-04, eta: 7:32:14, time: 0.194, data_time: 0.007, memory: 59439, decode.loss_ce: 0.2059, decode.acc_seg: 91.5624, loss: 0.2059 +2023-03-04 03:13:49,995 - mmseg - INFO - Iter [34100/160000] lr: 1.500e-04, eta: 7:32:08, time: 0.243, data_time: 0.055, memory: 59439, decode.loss_ce: 0.2065, decode.acc_seg: 91.4562, loss: 0.2065 +2023-03-04 03:13:59,498 - mmseg - INFO - Iter [34150/160000] lr: 1.500e-04, eta: 7:31:53, time: 0.190, data_time: 0.007, memory: 59439, decode.loss_ce: 0.2124, decode.acc_seg: 91.4237, loss: 0.2124 +2023-03-04 03:14:09,046 - mmseg - INFO - Iter [34200/160000] lr: 1.500e-04, eta: 7:31:38, time: 0.191, data_time: 0.008, memory: 59439, decode.loss_ce: 0.2085, decode.acc_seg: 91.5088, loss: 0.2085 +2023-03-04 03:14:18,609 - mmseg - INFO - Iter [34250/160000] lr: 1.500e-04, eta: 7:31:22, time: 0.191, data_time: 0.008, memory: 59439, decode.loss_ce: 0.2142, decode.acc_seg: 91.3640, loss: 0.2142 +2023-03-04 03:14:28,315 - mmseg - INFO - Iter [34300/160000] lr: 1.500e-04, eta: 7:31:08, time: 0.194, data_time: 0.007, memory: 59439, decode.loss_ce: 0.2065, decode.acc_seg: 91.4499, loss: 0.2065 +2023-03-04 03:14:38,068 - mmseg - INFO - Iter [34350/160000] lr: 1.500e-04, eta: 7:30:53, time: 0.195, data_time: 0.008, memory: 59439, decode.loss_ce: 0.2103, decode.acc_seg: 91.3566, loss: 0.2103 +2023-03-04 03:14:47,882 - mmseg - INFO - Iter [34400/160000] lr: 1.500e-04, eta: 7:30:39, time: 0.196, data_time: 0.007, memory: 59439, decode.loss_ce: 0.2057, decode.acc_seg: 91.5102, loss: 0.2057 +2023-03-04 03:14:57,566 - mmseg - INFO - Iter [34450/160000] lr: 1.500e-04, eta: 7:30:24, time: 0.194, data_time: 0.008, memory: 59439, decode.loss_ce: 0.2090, decode.acc_seg: 91.3959, loss: 0.2090 +2023-03-04 03:15:07,256 - mmseg - INFO - Iter [34500/160000] lr: 1.500e-04, eta: 7:30:10, time: 0.194, data_time: 0.007, memory: 59439, decode.loss_ce: 0.2180, decode.acc_seg: 91.1304, loss: 0.2180 +2023-03-04 03:15:16,834 - mmseg - INFO - Iter [34550/160000] lr: 1.500e-04, eta: 7:29:54, time: 0.191, data_time: 0.008, memory: 59439, decode.loss_ce: 0.2082, decode.acc_seg: 91.5845, loss: 0.2082 +2023-03-04 03:15:26,555 - mmseg - INFO - Iter [34600/160000] lr: 1.500e-04, eta: 7:29:40, time: 0.195, data_time: 0.008, memory: 59439, decode.loss_ce: 0.2014, decode.acc_seg: 91.8217, loss: 0.2014 +2023-03-04 03:15:36,352 - mmseg - INFO - Iter [34650/160000] lr: 1.500e-04, eta: 7:29:26, time: 0.196, data_time: 0.007, memory: 59439, decode.loss_ce: 0.2039, decode.acc_seg: 91.7047, loss: 0.2039 +2023-03-04 03:15:45,886 - mmseg - INFO - Iter [34700/160000] lr: 1.500e-04, eta: 7:29:11, time: 0.191, data_time: 0.008, memory: 59439, decode.loss_ce: 0.2053, decode.acc_seg: 91.6705, loss: 0.2053 +2023-03-04 03:15:57,989 - mmseg - INFO - Iter [34750/160000] lr: 1.500e-04, eta: 7:29:05, time: 0.242, data_time: 0.054, memory: 59439, decode.loss_ce: 0.2161, decode.acc_seg: 91.2822, loss: 0.2161 +2023-03-04 03:16:08,202 - mmseg - INFO - Iter [34800/160000] lr: 1.500e-04, eta: 7:28:52, time: 0.204, data_time: 0.007, memory: 59439, decode.loss_ce: 0.2168, decode.acc_seg: 91.0565, loss: 0.2168 +2023-03-04 03:16:17,925 - mmseg - INFO - Iter [34850/160000] lr: 1.500e-04, eta: 7:28:38, time: 0.195, data_time: 0.007, memory: 59439, decode.loss_ce: 0.2063, decode.acc_seg: 91.6184, loss: 0.2063 +2023-03-04 03:16:27,615 - mmseg - INFO - Iter [34900/160000] lr: 1.500e-04, eta: 7:28:23, time: 0.194, data_time: 0.007, memory: 59439, decode.loss_ce: 0.2096, decode.acc_seg: 91.3932, loss: 0.2096 +2023-03-04 03:16:37,124 - mmseg - INFO - Iter [34950/160000] lr: 1.500e-04, eta: 7:28:08, time: 0.190, data_time: 0.007, memory: 59439, decode.loss_ce: 0.2025, decode.acc_seg: 91.8563, loss: 0.2025 +2023-03-04 03:16:46,686 - mmseg - INFO - Exp name: ablation_segformer_mit_b2_segformer_head_unet_fc_small_multi_step_ade_pretrained_freeze_embed_160k_ade20k151_finetune_ema_t20.py +2023-03-04 03:16:46,687 - mmseg - INFO - Iter [35000/160000] lr: 1.500e-04, eta: 7:27:53, time: 0.191, data_time: 0.008, memory: 59439, decode.loss_ce: 0.1965, decode.acc_seg: 91.9507, loss: 0.1965 +2023-03-04 03:16:56,224 - mmseg - INFO - Iter [35050/160000] lr: 1.500e-04, eta: 7:27:38, time: 0.191, data_time: 0.008, memory: 59439, decode.loss_ce: 0.2104, decode.acc_seg: 91.5004, loss: 0.2104 +2023-03-04 03:17:05,887 - mmseg - INFO - Iter [35100/160000] lr: 1.500e-04, eta: 7:27:23, time: 0.193, data_time: 0.008, memory: 59439, decode.loss_ce: 0.2067, decode.acc_seg: 91.7255, loss: 0.2067 +2023-03-04 03:17:15,423 - mmseg - INFO - Iter [35150/160000] lr: 1.500e-04, eta: 7:27:08, time: 0.191, data_time: 0.008, memory: 59439, decode.loss_ce: 0.2027, decode.acc_seg: 91.6826, loss: 0.2027 +2023-03-04 03:17:25,015 - mmseg - INFO - Iter [35200/160000] lr: 1.500e-04, eta: 7:26:53, time: 0.192, data_time: 0.008, memory: 59439, decode.loss_ce: 0.2133, decode.acc_seg: 91.2961, loss: 0.2133 +2023-03-04 03:17:34,587 - mmseg - INFO - Iter [35250/160000] lr: 1.500e-04, eta: 7:26:38, time: 0.191, data_time: 0.007, memory: 59439, decode.loss_ce: 0.2155, decode.acc_seg: 91.3971, loss: 0.2155 +2023-03-04 03:17:44,283 - mmseg - INFO - Iter [35300/160000] lr: 1.500e-04, eta: 7:26:24, time: 0.194, data_time: 0.007, memory: 59439, decode.loss_ce: 0.2095, decode.acc_seg: 91.4583, loss: 0.2095 +2023-03-04 03:17:56,502 - mmseg - INFO - Iter [35350/160000] lr: 1.500e-04, eta: 7:26:18, time: 0.244, data_time: 0.054, memory: 59439, decode.loss_ce: 0.2126, decode.acc_seg: 91.4317, loss: 0.2126 +2023-03-04 03:18:06,267 - mmseg - INFO - Iter [35400/160000] lr: 1.500e-04, eta: 7:26:04, time: 0.196, data_time: 0.007, memory: 59439, decode.loss_ce: 0.2016, decode.acc_seg: 91.8311, loss: 0.2016 +2023-03-04 03:18:16,049 - mmseg - INFO - Iter [35450/160000] lr: 1.500e-04, eta: 7:25:50, time: 0.195, data_time: 0.008, memory: 59439, decode.loss_ce: 0.2073, decode.acc_seg: 91.6557, loss: 0.2073 +2023-03-04 03:18:25,800 - mmseg - INFO - Iter [35500/160000] lr: 1.500e-04, eta: 7:25:36, time: 0.195, data_time: 0.008, memory: 59439, decode.loss_ce: 0.2057, decode.acc_seg: 91.4995, loss: 0.2057 +2023-03-04 03:18:35,453 - mmseg - INFO - Iter [35550/160000] lr: 1.500e-04, eta: 7:25:21, time: 0.193, data_time: 0.007, memory: 59439, decode.loss_ce: 0.2130, decode.acc_seg: 91.1211, loss: 0.2130 +2023-03-04 03:18:44,960 - mmseg - INFO - Iter [35600/160000] lr: 1.500e-04, eta: 7:25:06, time: 0.190, data_time: 0.008, memory: 59439, decode.loss_ce: 0.2010, decode.acc_seg: 91.7629, loss: 0.2010 +2023-03-04 03:18:54,490 - mmseg - INFO - Iter [35650/160000] lr: 1.500e-04, eta: 7:24:51, time: 0.191, data_time: 0.007, memory: 59439, decode.loss_ce: 0.1986, decode.acc_seg: 91.9742, loss: 0.1986 +2023-03-04 03:19:04,096 - mmseg - INFO - Iter [35700/160000] lr: 1.500e-04, eta: 7:24:37, time: 0.192, data_time: 0.007, memory: 59439, decode.loss_ce: 0.2191, decode.acc_seg: 91.0977, loss: 0.2191 +2023-03-04 03:19:14,056 - mmseg - INFO - Iter [35750/160000] lr: 1.500e-04, eta: 7:24:23, time: 0.199, data_time: 0.008, memory: 59439, decode.loss_ce: 0.2127, decode.acc_seg: 91.4138, loss: 0.2127 +2023-03-04 03:19:23,652 - mmseg - INFO - Iter [35800/160000] lr: 1.500e-04, eta: 7:24:09, time: 0.192, data_time: 0.008, memory: 59439, decode.loss_ce: 0.2083, decode.acc_seg: 91.3462, loss: 0.2083 +2023-03-04 03:19:33,416 - mmseg - INFO - Iter [35850/160000] lr: 1.500e-04, eta: 7:23:55, time: 0.195, data_time: 0.008, memory: 59439, decode.loss_ce: 0.1981, decode.acc_seg: 91.8839, loss: 0.1981 +2023-03-04 03:19:43,057 - mmseg - INFO - Iter [35900/160000] lr: 1.500e-04, eta: 7:23:40, time: 0.193, data_time: 0.007, memory: 59439, decode.loss_ce: 0.2133, decode.acc_seg: 91.3473, loss: 0.2133 +2023-03-04 03:19:52,696 - mmseg - INFO - Iter [35950/160000] lr: 1.500e-04, eta: 7:23:26, time: 0.193, data_time: 0.007, memory: 59439, decode.loss_ce: 0.2119, decode.acc_seg: 91.4869, loss: 0.2119 +2023-03-04 03:20:04,875 - mmseg - INFO - Exp name: ablation_segformer_mit_b2_segformer_head_unet_fc_small_multi_step_ade_pretrained_freeze_embed_160k_ade20k151_finetune_ema_t20.py +2023-03-04 03:20:04,875 - mmseg - INFO - Iter [36000/160000] lr: 1.500e-04, eta: 7:23:20, time: 0.244, data_time: 0.056, memory: 59439, decode.loss_ce: 0.2084, decode.acc_seg: 91.5227, loss: 0.2084 +2023-03-04 03:20:14,523 - mmseg - INFO - Iter [36050/160000] lr: 1.500e-04, eta: 7:23:05, time: 0.193, data_time: 0.008, memory: 59439, decode.loss_ce: 0.2061, decode.acc_seg: 91.6441, loss: 0.2061 +2023-03-04 03:20:24,677 - mmseg - INFO - Iter [36100/160000] lr: 1.500e-04, eta: 7:22:53, time: 0.203, data_time: 0.007, memory: 59439, decode.loss_ce: 0.1990, decode.acc_seg: 91.7087, loss: 0.1990 +2023-03-04 03:20:34,277 - mmseg - INFO - Iter [36150/160000] lr: 1.500e-04, eta: 7:22:38, time: 0.192, data_time: 0.008, memory: 59439, decode.loss_ce: 0.2075, decode.acc_seg: 91.4864, loss: 0.2075 +2023-03-04 03:20:43,953 - mmseg - INFO - Iter [36200/160000] lr: 1.500e-04, eta: 7:22:24, time: 0.194, data_time: 0.007, memory: 59439, decode.loss_ce: 0.2059, decode.acc_seg: 91.6418, loss: 0.2059 +2023-03-04 03:20:53,629 - mmseg - INFO - Iter [36250/160000] lr: 1.500e-04, eta: 7:22:10, time: 0.193, data_time: 0.008, memory: 59439, decode.loss_ce: 0.2127, decode.acc_seg: 91.3054, loss: 0.2127 +2023-03-04 03:21:03,456 - mmseg - INFO - Iter [36300/160000] lr: 1.500e-04, eta: 7:21:56, time: 0.196, data_time: 0.007, memory: 59439, decode.loss_ce: 0.2103, decode.acc_seg: 91.3248, loss: 0.2103 +2023-03-04 03:21:13,498 - mmseg - INFO - Iter [36350/160000] lr: 1.500e-04, eta: 7:21:43, time: 0.201, data_time: 0.007, memory: 59439, decode.loss_ce: 0.2092, decode.acc_seg: 91.4628, loss: 0.2092 +2023-03-04 03:21:23,229 - mmseg - INFO - Iter [36400/160000] lr: 1.500e-04, eta: 7:21:29, time: 0.195, data_time: 0.007, memory: 59439, decode.loss_ce: 0.2058, decode.acc_seg: 91.6622, loss: 0.2058 +2023-03-04 03:21:32,923 - mmseg - INFO - Iter [36450/160000] lr: 1.500e-04, eta: 7:21:15, time: 0.194, data_time: 0.008, memory: 59439, decode.loss_ce: 0.2006, decode.acc_seg: 91.8145, loss: 0.2006 +2023-03-04 03:21:42,682 - mmseg - INFO - Iter [36500/160000] lr: 1.500e-04, eta: 7:21:01, time: 0.195, data_time: 0.007, memory: 59439, decode.loss_ce: 0.2082, decode.acc_seg: 91.5026, loss: 0.2082 +2023-03-04 03:21:52,250 - mmseg - INFO - Iter [36550/160000] lr: 1.500e-04, eta: 7:20:46, time: 0.191, data_time: 0.008, memory: 59439, decode.loss_ce: 0.2069, decode.acc_seg: 91.6218, loss: 0.2069 +2023-03-04 03:22:04,277 - mmseg - INFO - Iter [36600/160000] lr: 1.500e-04, eta: 7:20:40, time: 0.240, data_time: 0.055, memory: 59439, decode.loss_ce: 0.2116, decode.acc_seg: 91.1936, loss: 0.2116 +2023-03-04 03:22:14,246 - mmseg - INFO - Iter [36650/160000] lr: 1.500e-04, eta: 7:20:27, time: 0.199, data_time: 0.007, memory: 59439, decode.loss_ce: 0.2044, decode.acc_seg: 91.6758, loss: 0.2044 +2023-03-04 03:22:24,749 - mmseg - INFO - Iter [36700/160000] lr: 1.500e-04, eta: 7:20:15, time: 0.210, data_time: 0.007, memory: 59439, decode.loss_ce: 0.2079, decode.acc_seg: 91.4776, loss: 0.2079 +2023-03-04 03:22:34,379 - mmseg - INFO - Iter [36750/160000] lr: 1.500e-04, eta: 7:20:01, time: 0.193, data_time: 0.007, memory: 59439, decode.loss_ce: 0.2052, decode.acc_seg: 91.5138, loss: 0.2052 +2023-03-04 03:22:43,873 - mmseg - INFO - Iter [36800/160000] lr: 1.500e-04, eta: 7:19:46, time: 0.190, data_time: 0.008, memory: 59439, decode.loss_ce: 0.2052, decode.acc_seg: 91.6289, loss: 0.2052 +2023-03-04 03:22:53,379 - mmseg - INFO - Iter [36850/160000] lr: 1.500e-04, eta: 7:19:31, time: 0.190, data_time: 0.008, memory: 59439, decode.loss_ce: 0.2078, decode.acc_seg: 91.4922, loss: 0.2078 +2023-03-04 03:23:03,269 - mmseg - INFO - Iter [36900/160000] lr: 1.500e-04, eta: 7:19:18, time: 0.198, data_time: 0.008, memory: 59439, decode.loss_ce: 0.2072, decode.acc_seg: 91.4827, loss: 0.2072 +2023-03-04 03:23:12,997 - mmseg - INFO - Iter [36950/160000] lr: 1.500e-04, eta: 7:19:04, time: 0.195, data_time: 0.008, memory: 59439, decode.loss_ce: 0.2096, decode.acc_seg: 91.4773, loss: 0.2096 +2023-03-04 03:23:22,807 - mmseg - INFO - Exp name: ablation_segformer_mit_b2_segformer_head_unet_fc_small_multi_step_ade_pretrained_freeze_embed_160k_ade20k151_finetune_ema_t20.py +2023-03-04 03:23:22,807 - mmseg - INFO - Iter [37000/160000] lr: 1.500e-04, eta: 7:18:50, time: 0.196, data_time: 0.007, memory: 59439, decode.loss_ce: 0.2145, decode.acc_seg: 91.4606, loss: 0.2145 +2023-03-04 03:23:32,570 - mmseg - INFO - Iter [37050/160000] lr: 1.500e-04, eta: 7:18:36, time: 0.195, data_time: 0.007, memory: 59439, decode.loss_ce: 0.2012, decode.acc_seg: 91.7416, loss: 0.2012 +2023-03-04 03:23:42,364 - mmseg - INFO - Iter [37100/160000] lr: 1.500e-04, eta: 7:18:23, time: 0.196, data_time: 0.008, memory: 59439, decode.loss_ce: 0.2047, decode.acc_seg: 91.6078, loss: 0.2047 +2023-03-04 03:23:52,163 - mmseg - INFO - Iter [37150/160000] lr: 1.500e-04, eta: 7:18:09, time: 0.196, data_time: 0.007, memory: 59439, decode.loss_ce: 0.2093, decode.acc_seg: 91.3314, loss: 0.2093 +2023-03-04 03:24:02,043 - mmseg - INFO - Iter [37200/160000] lr: 1.500e-04, eta: 7:17:56, time: 0.198, data_time: 0.007, memory: 59439, decode.loss_ce: 0.2057, decode.acc_seg: 91.5641, loss: 0.2057 +2023-03-04 03:24:14,203 - mmseg - INFO - Iter [37250/160000] lr: 1.500e-04, eta: 7:17:50, time: 0.243, data_time: 0.055, memory: 59439, decode.loss_ce: 0.2107, decode.acc_seg: 91.3681, loss: 0.2107 +2023-03-04 03:24:24,067 - mmseg - INFO - Iter [37300/160000] lr: 1.500e-04, eta: 7:17:36, time: 0.197, data_time: 0.007, memory: 59439, decode.loss_ce: 0.2055, decode.acc_seg: 91.5816, loss: 0.2055 +2023-03-04 03:24:33,944 - mmseg - INFO - Iter [37350/160000] lr: 1.500e-04, eta: 7:17:23, time: 0.198, data_time: 0.007, memory: 59439, decode.loss_ce: 0.2095, decode.acc_seg: 91.4143, loss: 0.2095 +2023-03-04 03:24:43,775 - mmseg - INFO - Iter [37400/160000] lr: 1.500e-04, eta: 7:17:09, time: 0.197, data_time: 0.007, memory: 59439, decode.loss_ce: 0.2086, decode.acc_seg: 91.6215, loss: 0.2086 +2023-03-04 03:24:53,764 - mmseg - INFO - Iter [37450/160000] lr: 1.500e-04, eta: 7:16:56, time: 0.199, data_time: 0.007, memory: 59439, decode.loss_ce: 0.2083, decode.acc_seg: 91.5011, loss: 0.2083 +2023-03-04 03:25:03,676 - mmseg - INFO - Iter [37500/160000] lr: 1.500e-04, eta: 7:16:43, time: 0.198, data_time: 0.008, memory: 59439, decode.loss_ce: 0.2047, decode.acc_seg: 91.4848, loss: 0.2047 +2023-03-04 03:25:13,364 - mmseg - INFO - Iter [37550/160000] lr: 1.500e-04, eta: 7:16:29, time: 0.194, data_time: 0.008, memory: 59439, decode.loss_ce: 0.2091, decode.acc_seg: 91.5820, loss: 0.2091 +2023-03-04 03:25:23,039 - mmseg - INFO - Iter [37600/160000] lr: 1.500e-04, eta: 7:16:15, time: 0.194, data_time: 0.007, memory: 59439, decode.loss_ce: 0.2103, decode.acc_seg: 91.3297, loss: 0.2103 +2023-03-04 03:25:32,763 - mmseg - INFO - Iter [37650/160000] lr: 1.500e-04, eta: 7:16:01, time: 0.194, data_time: 0.008, memory: 59439, decode.loss_ce: 0.2119, decode.acc_seg: 91.4706, loss: 0.2119 +2023-03-04 03:25:42,397 - mmseg - INFO - Iter [37700/160000] lr: 1.500e-04, eta: 7:15:47, time: 0.192, data_time: 0.007, memory: 59439, decode.loss_ce: 0.2104, decode.acc_seg: 91.4365, loss: 0.2104 +2023-03-04 03:25:52,032 - mmseg - INFO - Iter [37750/160000] lr: 1.500e-04, eta: 7:15:33, time: 0.193, data_time: 0.008, memory: 59439, decode.loss_ce: 0.2110, decode.acc_seg: 91.4382, loss: 0.2110 +2023-03-04 03:26:01,662 - mmseg - INFO - Iter [37800/160000] lr: 1.500e-04, eta: 7:15:19, time: 0.192, data_time: 0.008, memory: 59439, decode.loss_ce: 0.2131, decode.acc_seg: 91.2768, loss: 0.2131 +2023-03-04 03:26:11,405 - mmseg - INFO - Iter [37850/160000] lr: 1.500e-04, eta: 7:15:05, time: 0.195, data_time: 0.008, memory: 59439, decode.loss_ce: 0.2077, decode.acc_seg: 91.5359, loss: 0.2077 +2023-03-04 03:26:23,458 - mmseg - INFO - Iter [37900/160000] lr: 1.500e-04, eta: 7:14:59, time: 0.241, data_time: 0.054, memory: 59439, decode.loss_ce: 0.2048, decode.acc_seg: 91.7113, loss: 0.2048 +2023-03-04 03:26:33,196 - mmseg - INFO - Iter [37950/160000] lr: 1.500e-04, eta: 7:14:45, time: 0.195, data_time: 0.007, memory: 59439, decode.loss_ce: 0.2011, decode.acc_seg: 91.8008, loss: 0.2011 +2023-03-04 03:26:42,866 - mmseg - INFO - Exp name: ablation_segformer_mit_b2_segformer_head_unet_fc_small_multi_step_ade_pretrained_freeze_embed_160k_ade20k151_finetune_ema_t20.py +2023-03-04 03:26:42,866 - mmseg - INFO - Iter [38000/160000] lr: 1.500e-04, eta: 7:14:31, time: 0.194, data_time: 0.007, memory: 59439, decode.loss_ce: 0.2043, decode.acc_seg: 91.6170, loss: 0.2043 +2023-03-04 03:26:52,453 - mmseg - INFO - Iter [38050/160000] lr: 1.500e-04, eta: 7:14:17, time: 0.192, data_time: 0.007, memory: 59439, decode.loss_ce: 0.2069, decode.acc_seg: 91.4529, loss: 0.2069 +2023-03-04 03:27:02,130 - mmseg - INFO - Iter [38100/160000] lr: 1.500e-04, eta: 7:14:03, time: 0.194, data_time: 0.007, memory: 59439, decode.loss_ce: 0.2025, decode.acc_seg: 91.5239, loss: 0.2025 +2023-03-04 03:27:11,573 - mmseg - INFO - Iter [38150/160000] lr: 1.500e-04, eta: 7:13:48, time: 0.189, data_time: 0.007, memory: 59439, decode.loss_ce: 0.2137, decode.acc_seg: 91.2088, loss: 0.2137 +2023-03-04 03:27:21,499 - mmseg - INFO - Iter [38200/160000] lr: 1.500e-04, eta: 7:13:35, time: 0.199, data_time: 0.008, memory: 59439, decode.loss_ce: 0.2124, decode.acc_seg: 91.4905, loss: 0.2124 +2023-03-04 03:27:31,178 - mmseg - INFO - Iter [38250/160000] lr: 1.500e-04, eta: 7:13:21, time: 0.194, data_time: 0.007, memory: 59439, decode.loss_ce: 0.2053, decode.acc_seg: 91.6828, loss: 0.2053 +2023-03-04 03:27:40,753 - mmseg - INFO - Iter [38300/160000] lr: 1.500e-04, eta: 7:13:07, time: 0.192, data_time: 0.007, memory: 59439, decode.loss_ce: 0.2131, decode.acc_seg: 91.3701, loss: 0.2131 +2023-03-04 03:27:50,406 - mmseg - INFO - Iter [38350/160000] lr: 1.500e-04, eta: 7:12:53, time: 0.193, data_time: 0.008, memory: 59439, decode.loss_ce: 0.2119, decode.acc_seg: 91.4069, loss: 0.2119 +2023-03-04 03:27:59,994 - mmseg - INFO - Iter [38400/160000] lr: 1.500e-04, eta: 7:12:39, time: 0.192, data_time: 0.007, memory: 59439, decode.loss_ce: 0.2082, decode.acc_seg: 91.3857, loss: 0.2082 +2023-03-04 03:28:09,527 - mmseg - INFO - Iter [38450/160000] lr: 1.500e-04, eta: 7:12:25, time: 0.191, data_time: 0.007, memory: 59439, decode.loss_ce: 0.1952, decode.acc_seg: 91.8224, loss: 0.1952 +2023-03-04 03:28:21,605 - mmseg - INFO - Iter [38500/160000] lr: 1.500e-04, eta: 7:12:19, time: 0.242, data_time: 0.055, memory: 59439, decode.loss_ce: 0.2080, decode.acc_seg: 91.7231, loss: 0.2080 +2023-03-04 03:28:31,247 - mmseg - INFO - Iter [38550/160000] lr: 1.500e-04, eta: 7:12:05, time: 0.193, data_time: 0.007, memory: 59439, decode.loss_ce: 0.2015, decode.acc_seg: 91.7957, loss: 0.2015 +2023-03-04 03:28:40,817 - mmseg - INFO - Iter [38600/160000] lr: 1.500e-04, eta: 7:11:51, time: 0.191, data_time: 0.007, memory: 59439, decode.loss_ce: 0.2045, decode.acc_seg: 91.5429, loss: 0.2045 +2023-03-04 03:28:50,630 - mmseg - INFO - Iter [38650/160000] lr: 1.500e-04, eta: 7:11:37, time: 0.197, data_time: 0.007, memory: 59439, decode.loss_ce: 0.1975, decode.acc_seg: 91.9222, loss: 0.1975 +2023-03-04 03:29:00,742 - mmseg - INFO - Iter [38700/160000] lr: 1.500e-04, eta: 7:11:25, time: 0.202, data_time: 0.007, memory: 59439, decode.loss_ce: 0.2022, decode.acc_seg: 91.6499, loss: 0.2022 +2023-03-04 03:29:10,403 - mmseg - INFO - Iter [38750/160000] lr: 1.500e-04, eta: 7:11:11, time: 0.193, data_time: 0.007, memory: 59439, decode.loss_ce: 0.2033, decode.acc_seg: 91.7277, loss: 0.2033 +2023-03-04 03:29:20,109 - mmseg - INFO - Iter [38800/160000] lr: 1.500e-04, eta: 7:10:57, time: 0.194, data_time: 0.007, memory: 59439, decode.loss_ce: 0.2108, decode.acc_seg: 91.4395, loss: 0.2108 +2023-03-04 03:29:29,844 - mmseg - INFO - Iter [38850/160000] lr: 1.500e-04, eta: 7:10:44, time: 0.195, data_time: 0.007, memory: 59439, decode.loss_ce: 0.2025, decode.acc_seg: 91.6512, loss: 0.2025 +2023-03-04 03:29:39,911 - mmseg - INFO - Iter [38900/160000] lr: 1.500e-04, eta: 7:10:31, time: 0.201, data_time: 0.008, memory: 59439, decode.loss_ce: 0.2047, decode.acc_seg: 91.6974, loss: 0.2047 +2023-03-04 03:29:49,409 - mmseg - INFO - Iter [38950/160000] lr: 1.500e-04, eta: 7:10:17, time: 0.190, data_time: 0.007, memory: 59439, decode.loss_ce: 0.2028, decode.acc_seg: 91.6335, loss: 0.2028 +2023-03-04 03:29:59,034 - mmseg - INFO - Exp name: ablation_segformer_mit_b2_segformer_head_unet_fc_small_multi_step_ade_pretrained_freeze_embed_160k_ade20k151_finetune_ema_t20.py +2023-03-04 03:29:59,034 - mmseg - INFO - Iter [39000/160000] lr: 1.500e-04, eta: 7:10:03, time: 0.192, data_time: 0.007, memory: 59439, decode.loss_ce: 0.2046, decode.acc_seg: 91.5470, loss: 0.2046 +2023-03-04 03:30:08,521 - mmseg - INFO - Iter [39050/160000] lr: 1.500e-04, eta: 7:09:49, time: 0.190, data_time: 0.007, memory: 59439, decode.loss_ce: 0.2080, decode.acc_seg: 91.3406, loss: 0.2080 +2023-03-04 03:30:18,371 - mmseg - INFO - Iter [39100/160000] lr: 1.500e-04, eta: 7:09:35, time: 0.197, data_time: 0.007, memory: 59439, decode.loss_ce: 0.2070, decode.acc_seg: 91.6043, loss: 0.2070 +2023-03-04 03:30:30,774 - mmseg - INFO - Iter [39150/160000] lr: 1.500e-04, eta: 7:09:30, time: 0.248, data_time: 0.056, memory: 59439, decode.loss_ce: 0.2076, decode.acc_seg: 91.4401, loss: 0.2076 +2023-03-04 03:30:40,216 - mmseg - INFO - Iter [39200/160000] lr: 1.500e-04, eta: 7:09:16, time: 0.189, data_time: 0.008, memory: 59439, decode.loss_ce: 0.2034, decode.acc_seg: 91.7068, loss: 0.2034 +2023-03-04 03:30:50,174 - mmseg - INFO - Iter [39250/160000] lr: 1.500e-04, eta: 7:09:03, time: 0.199, data_time: 0.007, memory: 59439, decode.loss_ce: 0.2109, decode.acc_seg: 91.5603, loss: 0.2109 +2023-03-04 03:31:00,140 - mmseg - INFO - Iter [39300/160000] lr: 1.500e-04, eta: 7:08:50, time: 0.199, data_time: 0.007, memory: 59439, decode.loss_ce: 0.2041, decode.acc_seg: 91.7356, loss: 0.2041 +2023-03-04 03:31:09,718 - mmseg - INFO - Iter [39350/160000] lr: 1.500e-04, eta: 7:08:36, time: 0.192, data_time: 0.007, memory: 59439, decode.loss_ce: 0.2176, decode.acc_seg: 91.1877, loss: 0.2176 +2023-03-04 03:31:19,315 - mmseg - INFO - Iter [39400/160000] lr: 1.500e-04, eta: 7:08:22, time: 0.192, data_time: 0.007, memory: 59439, decode.loss_ce: 0.2099, decode.acc_seg: 91.4490, loss: 0.2099 +2023-03-04 03:31:29,095 - mmseg - INFO - Iter [39450/160000] lr: 1.500e-04, eta: 7:08:09, time: 0.196, data_time: 0.008, memory: 59439, decode.loss_ce: 0.2084, decode.acc_seg: 91.5805, loss: 0.2084 +2023-03-04 03:31:38,866 - mmseg - INFO - Iter [39500/160000] lr: 1.500e-04, eta: 7:07:56, time: 0.195, data_time: 0.008, memory: 59439, decode.loss_ce: 0.1960, decode.acc_seg: 91.9680, loss: 0.1960 +2023-03-04 03:31:48,767 - mmseg - INFO - Iter [39550/160000] lr: 1.500e-04, eta: 7:07:43, time: 0.198, data_time: 0.007, memory: 59439, decode.loss_ce: 0.2147, decode.acc_seg: 91.4382, loss: 0.2147 +2023-03-04 03:31:58,312 - mmseg - INFO - Iter [39600/160000] lr: 1.500e-04, eta: 7:07:29, time: 0.191, data_time: 0.008, memory: 59439, decode.loss_ce: 0.2113, decode.acc_seg: 91.4514, loss: 0.2113 +2023-03-04 03:32:07,963 - mmseg - INFO - Iter [39650/160000] lr: 1.500e-04, eta: 7:07:15, time: 0.193, data_time: 0.007, memory: 59439, decode.loss_ce: 0.2155, decode.acc_seg: 91.3057, loss: 0.2155 +2023-03-04 03:32:17,584 - mmseg - INFO - Iter [39700/160000] lr: 1.500e-04, eta: 7:07:01, time: 0.192, data_time: 0.008, memory: 59439, decode.loss_ce: 0.2080, decode.acc_seg: 91.5362, loss: 0.2080 +2023-03-04 03:32:27,026 - mmseg - INFO - Iter [39750/160000] lr: 1.500e-04, eta: 7:06:47, time: 0.189, data_time: 0.007, memory: 59439, decode.loss_ce: 0.2131, decode.acc_seg: 91.2600, loss: 0.2131 +2023-03-04 03:32:39,270 - mmseg - INFO - Iter [39800/160000] lr: 1.500e-04, eta: 7:06:41, time: 0.245, data_time: 0.054, memory: 59439, decode.loss_ce: 0.2178, decode.acc_seg: 91.1723, loss: 0.2178 +2023-03-04 03:32:49,258 - mmseg - INFO - Iter [39850/160000] lr: 1.500e-04, eta: 7:06:28, time: 0.199, data_time: 0.008, memory: 59439, decode.loss_ce: 0.2102, decode.acc_seg: 91.5907, loss: 0.2102 +2023-03-04 03:32:59,221 - mmseg - INFO - Iter [39900/160000] lr: 1.500e-04, eta: 7:06:16, time: 0.199, data_time: 0.008, memory: 59439, decode.loss_ce: 0.2078, decode.acc_seg: 91.6516, loss: 0.2078 +2023-03-04 03:33:08,725 - mmseg - INFO - Iter [39950/160000] lr: 1.500e-04, eta: 7:06:02, time: 0.190, data_time: 0.007, memory: 59439, decode.loss_ce: 0.2093, decode.acc_seg: 91.4677, loss: 0.2093 +2023-03-04 03:33:18,494 - mmseg - INFO - Exp name: ablation_segformer_mit_b2_segformer_head_unet_fc_small_multi_step_ade_pretrained_freeze_embed_160k_ade20k151_finetune_ema_t20.py +2023-03-04 03:33:18,494 - mmseg - INFO - Iter [40000/160000] lr: 1.500e-04, eta: 7:05:48, time: 0.195, data_time: 0.007, memory: 59439, decode.loss_ce: 0.2109, decode.acc_seg: 91.3412, loss: 0.2109 +2023-03-04 03:33:28,233 - mmseg - INFO - Iter [40050/160000] lr: 1.500e-04, eta: 7:05:35, time: 0.195, data_time: 0.007, memory: 59439, decode.loss_ce: 0.2062, decode.acc_seg: 91.6318, loss: 0.2062 +2023-03-04 03:33:37,815 - mmseg - INFO - Iter [40100/160000] lr: 1.500e-04, eta: 7:05:21, time: 0.192, data_time: 0.008, memory: 59439, decode.loss_ce: 0.2098, decode.acc_seg: 91.5493, loss: 0.2098 +2023-03-04 03:33:47,981 - mmseg - INFO - Iter [40150/160000] lr: 1.500e-04, eta: 7:05:09, time: 0.203, data_time: 0.008, memory: 59439, decode.loss_ce: 0.2097, decode.acc_seg: 91.4755, loss: 0.2097 +2023-03-04 03:33:57,792 - mmseg - INFO - Iter [40200/160000] lr: 1.500e-04, eta: 7:04:56, time: 0.196, data_time: 0.007, memory: 59439, decode.loss_ce: 0.1984, decode.acc_seg: 92.0619, loss: 0.1984 +2023-03-04 03:34:07,345 - mmseg - INFO - Iter [40250/160000] lr: 1.500e-04, eta: 7:04:42, time: 0.191, data_time: 0.008, memory: 59439, decode.loss_ce: 0.2057, decode.acc_seg: 91.4311, loss: 0.2057 +2023-03-04 03:34:17,453 - mmseg - INFO - Iter [40300/160000] lr: 1.500e-04, eta: 7:04:30, time: 0.202, data_time: 0.007, memory: 59439, decode.loss_ce: 0.2044, decode.acc_seg: 91.6151, loss: 0.2044 +2023-03-04 03:34:27,839 - mmseg - INFO - Iter [40350/160000] lr: 1.500e-04, eta: 7:04:18, time: 0.208, data_time: 0.007, memory: 59439, decode.loss_ce: 0.2062, decode.acc_seg: 91.6442, loss: 0.2062 +2023-03-04 03:34:40,084 - mmseg - INFO - Iter [40400/160000] lr: 1.500e-04, eta: 7:04:13, time: 0.245, data_time: 0.054, memory: 59439, decode.loss_ce: 0.2022, decode.acc_seg: 91.7032, loss: 0.2022 +2023-03-04 03:34:49,622 - mmseg - INFO - Iter [40450/160000] lr: 1.500e-04, eta: 7:03:59, time: 0.191, data_time: 0.008, memory: 59439, decode.loss_ce: 0.2030, decode.acc_seg: 91.7241, loss: 0.2030 +2023-03-04 03:34:59,384 - mmseg - INFO - Iter [40500/160000] lr: 1.500e-04, eta: 7:03:45, time: 0.195, data_time: 0.007, memory: 59439, decode.loss_ce: 0.2076, decode.acc_seg: 91.5916, loss: 0.2076 +2023-03-04 03:35:08,973 - mmseg - INFO - Iter [40550/160000] lr: 1.500e-04, eta: 7:03:32, time: 0.192, data_time: 0.008, memory: 59439, decode.loss_ce: 0.2136, decode.acc_seg: 91.3437, loss: 0.2136 +2023-03-04 03:35:18,552 - mmseg - INFO - Iter [40600/160000] lr: 1.500e-04, eta: 7:03:18, time: 0.192, data_time: 0.008, memory: 59439, decode.loss_ce: 0.2065, decode.acc_seg: 91.4874, loss: 0.2065 +2023-03-04 03:35:28,138 - mmseg - INFO - Iter [40650/160000] lr: 1.500e-04, eta: 7:03:04, time: 0.192, data_time: 0.008, memory: 59439, decode.loss_ce: 0.2071, decode.acc_seg: 91.6226, loss: 0.2071 +2023-03-04 03:35:37,715 - mmseg - INFO - Iter [40700/160000] lr: 1.500e-04, eta: 7:02:51, time: 0.192, data_time: 0.008, memory: 59439, decode.loss_ce: 0.2049, decode.acc_seg: 91.6762, loss: 0.2049 +2023-03-04 03:35:47,418 - mmseg - INFO - Iter [40750/160000] lr: 1.500e-04, eta: 7:02:37, time: 0.194, data_time: 0.008, memory: 59439, decode.loss_ce: 0.2080, decode.acc_seg: 91.4559, loss: 0.2080 +2023-03-04 03:35:57,047 - mmseg - INFO - Iter [40800/160000] lr: 1.500e-04, eta: 7:02:24, time: 0.193, data_time: 0.008, memory: 59439, decode.loss_ce: 0.2121, decode.acc_seg: 91.3375, loss: 0.2121 +2023-03-04 03:36:06,687 - mmseg - INFO - Iter [40850/160000] lr: 1.500e-04, eta: 7:02:10, time: 0.193, data_time: 0.008, memory: 59439, decode.loss_ce: 0.2065, decode.acc_seg: 91.6824, loss: 0.2065 +2023-03-04 03:36:16,342 - mmseg - INFO - Iter [40900/160000] lr: 1.500e-04, eta: 7:01:57, time: 0.193, data_time: 0.007, memory: 59439, decode.loss_ce: 0.2114, decode.acc_seg: 91.3600, loss: 0.2114 +2023-03-04 03:36:26,102 - mmseg - INFO - Iter [40950/160000] lr: 1.500e-04, eta: 7:01:43, time: 0.195, data_time: 0.007, memory: 59439, decode.loss_ce: 0.2170, decode.acc_seg: 91.3666, loss: 0.2170 +2023-03-04 03:36:35,560 - mmseg - INFO - Exp name: ablation_segformer_mit_b2_segformer_head_unet_fc_small_multi_step_ade_pretrained_freeze_embed_160k_ade20k151_finetune_ema_t20.py +2023-03-04 03:36:35,560 - mmseg - INFO - Iter [41000/160000] lr: 1.500e-04, eta: 7:01:29, time: 0.189, data_time: 0.008, memory: 59439, decode.loss_ce: 0.2098, decode.acc_seg: 91.4625, loss: 0.2098 +2023-03-04 03:36:47,803 - mmseg - INFO - Iter [41050/160000] lr: 1.500e-04, eta: 7:01:24, time: 0.245, data_time: 0.054, memory: 59439, decode.loss_ce: 0.2021, decode.acc_seg: 91.7688, loss: 0.2021 +2023-03-04 03:36:57,288 - mmseg - INFO - Iter [41100/160000] lr: 1.500e-04, eta: 7:01:10, time: 0.190, data_time: 0.007, memory: 59439, decode.loss_ce: 0.1988, decode.acc_seg: 91.8108, loss: 0.1988 +2023-03-04 03:37:07,056 - mmseg - INFO - Iter [41150/160000] lr: 1.500e-04, eta: 7:00:56, time: 0.195, data_time: 0.008, memory: 59439, decode.loss_ce: 0.2120, decode.acc_seg: 91.4245, loss: 0.2120 +2023-03-04 03:37:16,846 - mmseg - INFO - Iter [41200/160000] lr: 1.500e-04, eta: 7:00:43, time: 0.196, data_time: 0.007, memory: 59439, decode.loss_ce: 0.1999, decode.acc_seg: 91.7594, loss: 0.1999 +2023-03-04 03:37:26,299 - mmseg - INFO - Iter [41250/160000] lr: 1.500e-04, eta: 7:00:29, time: 0.189, data_time: 0.007, memory: 59439, decode.loss_ce: 0.1997, decode.acc_seg: 91.9010, loss: 0.1997 +2023-03-04 03:37:36,319 - mmseg - INFO - Iter [41300/160000] lr: 1.500e-04, eta: 7:00:17, time: 0.200, data_time: 0.007, memory: 59439, decode.loss_ce: 0.2038, decode.acc_seg: 91.8273, loss: 0.2038 +2023-03-04 03:37:45,941 - mmseg - INFO - Iter [41350/160000] lr: 1.500e-04, eta: 7:00:04, time: 0.192, data_time: 0.007, memory: 59439, decode.loss_ce: 0.2019, decode.acc_seg: 91.8499, loss: 0.2019 +2023-03-04 03:37:55,466 - mmseg - INFO - Iter [41400/160000] lr: 1.500e-04, eta: 6:59:50, time: 0.190, data_time: 0.007, memory: 59439, decode.loss_ce: 0.2031, decode.acc_seg: 91.6544, loss: 0.2031 +2023-03-04 03:38:04,968 - mmseg - INFO - Iter [41450/160000] lr: 1.500e-04, eta: 6:59:36, time: 0.190, data_time: 0.007, memory: 59439, decode.loss_ce: 0.2127, decode.acc_seg: 91.4591, loss: 0.2127 +2023-03-04 03:38:14,721 - mmseg - INFO - Iter [41500/160000] lr: 1.500e-04, eta: 6:59:23, time: 0.195, data_time: 0.008, memory: 59439, decode.loss_ce: 0.2058, decode.acc_seg: 91.5740, loss: 0.2058 +2023-03-04 03:38:24,542 - mmseg - INFO - Iter [41550/160000] lr: 1.500e-04, eta: 6:59:10, time: 0.197, data_time: 0.008, memory: 59439, decode.loss_ce: 0.2081, decode.acc_seg: 91.6072, loss: 0.2081 +2023-03-04 03:38:34,018 - mmseg - INFO - Iter [41600/160000] lr: 1.500e-04, eta: 6:58:56, time: 0.190, data_time: 0.008, memory: 59439, decode.loss_ce: 0.2070, decode.acc_seg: 91.5023, loss: 0.2070 +2023-03-04 03:38:46,108 - mmseg - INFO - Iter [41650/160000] lr: 1.500e-04, eta: 6:58:50, time: 0.242, data_time: 0.057, memory: 59439, decode.loss_ce: 0.2104, decode.acc_seg: 91.4992, loss: 0.2104 +2023-03-04 03:38:55,785 - mmseg - INFO - Iter [41700/160000] lr: 1.500e-04, eta: 6:58:36, time: 0.194, data_time: 0.007, memory: 59439, decode.loss_ce: 0.2101, decode.acc_seg: 91.5256, loss: 0.2101 +2023-03-04 03:39:05,620 - mmseg - INFO - Iter [41750/160000] lr: 1.500e-04, eta: 6:58:24, time: 0.197, data_time: 0.008, memory: 59439, decode.loss_ce: 0.2040, decode.acc_seg: 91.5446, loss: 0.2040 +2023-03-04 03:39:15,477 - mmseg - INFO - Iter [41800/160000] lr: 1.500e-04, eta: 6:58:11, time: 0.197, data_time: 0.007, memory: 59439, decode.loss_ce: 0.2099, decode.acc_seg: 91.4496, loss: 0.2099 +2023-03-04 03:39:25,261 - mmseg - INFO - Iter [41850/160000] lr: 1.500e-04, eta: 6:57:58, time: 0.196, data_time: 0.007, memory: 59439, decode.loss_ce: 0.2085, decode.acc_seg: 91.4588, loss: 0.2085 +2023-03-04 03:39:34,864 - mmseg - INFO - Iter [41900/160000] lr: 1.500e-04, eta: 6:57:44, time: 0.192, data_time: 0.007, memory: 59439, decode.loss_ce: 0.2069, decode.acc_seg: 91.6399, loss: 0.2069 +2023-03-04 03:39:44,516 - mmseg - INFO - Iter [41950/160000] lr: 1.500e-04, eta: 6:57:31, time: 0.193, data_time: 0.008, memory: 59439, decode.loss_ce: 0.2106, decode.acc_seg: 91.5954, loss: 0.2106 +2023-03-04 03:39:54,747 - mmseg - INFO - Exp name: ablation_segformer_mit_b2_segformer_head_unet_fc_small_multi_step_ade_pretrained_freeze_embed_160k_ade20k151_finetune_ema_t20.py +2023-03-04 03:39:54,747 - mmseg - INFO - Iter [42000/160000] lr: 1.500e-04, eta: 6:57:19, time: 0.205, data_time: 0.007, memory: 59439, decode.loss_ce: 0.2086, decode.acc_seg: 91.4863, loss: 0.2086 +2023-03-04 03:40:04,323 - mmseg - INFO - Iter [42050/160000] lr: 1.500e-04, eta: 6:57:06, time: 0.191, data_time: 0.007, memory: 59439, decode.loss_ce: 0.2043, decode.acc_seg: 91.7523, loss: 0.2043 +2023-03-04 03:40:13,921 - mmseg - INFO - Iter [42100/160000] lr: 1.500e-04, eta: 6:56:53, time: 0.192, data_time: 0.007, memory: 59439, decode.loss_ce: 0.2064, decode.acc_seg: 91.5585, loss: 0.2064 +2023-03-04 03:40:23,901 - mmseg - INFO - Iter [42150/160000] lr: 1.500e-04, eta: 6:56:40, time: 0.200, data_time: 0.008, memory: 59439, decode.loss_ce: 0.2119, decode.acc_seg: 91.4401, loss: 0.2119 +2023-03-04 03:40:33,413 - mmseg - INFO - Iter [42200/160000] lr: 1.500e-04, eta: 6:56:26, time: 0.190, data_time: 0.008, memory: 59439, decode.loss_ce: 0.2058, decode.acc_seg: 91.5393, loss: 0.2058 +2023-03-04 03:40:43,204 - mmseg - INFO - Iter [42250/160000] lr: 1.500e-04, eta: 6:56:14, time: 0.196, data_time: 0.007, memory: 59439, decode.loss_ce: 0.2034, decode.acc_seg: 91.7377, loss: 0.2034 +2023-03-04 03:40:55,324 - mmseg - INFO - Iter [42300/160000] lr: 1.500e-04, eta: 6:56:07, time: 0.242, data_time: 0.056, memory: 59439, decode.loss_ce: 0.2010, decode.acc_seg: 91.8350, loss: 0.2010 +2023-03-04 03:41:04,764 - mmseg - INFO - Iter [42350/160000] lr: 1.500e-04, eta: 6:55:53, time: 0.189, data_time: 0.007, memory: 59439, decode.loss_ce: 0.2032, decode.acc_seg: 91.6576, loss: 0.2032 +2023-03-04 03:41:14,455 - mmseg - INFO - Iter [42400/160000] lr: 1.500e-04, eta: 6:55:40, time: 0.194, data_time: 0.008, memory: 59439, decode.loss_ce: 0.2049, decode.acc_seg: 91.4837, loss: 0.2049 +2023-03-04 03:41:24,457 - mmseg - INFO - Iter [42450/160000] lr: 1.500e-04, eta: 6:55:28, time: 0.200, data_time: 0.008, memory: 59439, decode.loss_ce: 0.2142, decode.acc_seg: 91.4673, loss: 0.2142 +2023-03-04 03:41:34,529 - mmseg - INFO - Iter [42500/160000] lr: 1.500e-04, eta: 6:55:16, time: 0.202, data_time: 0.007, memory: 59439, decode.loss_ce: 0.2011, decode.acc_seg: 91.7461, loss: 0.2011 +2023-03-04 03:41:44,237 - mmseg - INFO - Iter [42550/160000] lr: 1.500e-04, eta: 6:55:03, time: 0.194, data_time: 0.007, memory: 59439, decode.loss_ce: 0.2122, decode.acc_seg: 91.5104, loss: 0.2122 +2023-03-04 03:41:54,051 - mmseg - INFO - Iter [42600/160000] lr: 1.500e-04, eta: 6:54:50, time: 0.196, data_time: 0.008, memory: 59439, decode.loss_ce: 0.2202, decode.acc_seg: 91.1030, loss: 0.2202 +2023-03-04 03:42:03,943 - mmseg - INFO - Iter [42650/160000] lr: 1.500e-04, eta: 6:54:37, time: 0.198, data_time: 0.007, memory: 59439, decode.loss_ce: 0.2027, decode.acc_seg: 91.7031, loss: 0.2027 +2023-03-04 03:42:14,006 - mmseg - INFO - Iter [42700/160000] lr: 1.500e-04, eta: 6:54:25, time: 0.202, data_time: 0.008, memory: 59439, decode.loss_ce: 0.2113, decode.acc_seg: 91.6446, loss: 0.2113 +2023-03-04 03:42:23,706 - mmseg - INFO - Iter [42750/160000] lr: 1.500e-04, eta: 6:54:12, time: 0.194, data_time: 0.007, memory: 59439, decode.loss_ce: 0.2116, decode.acc_seg: 91.5209, loss: 0.2116 +2023-03-04 03:42:33,273 - mmseg - INFO - Iter [42800/160000] lr: 1.500e-04, eta: 6:53:59, time: 0.191, data_time: 0.008, memory: 59439, decode.loss_ce: 0.2117, decode.acc_seg: 91.3687, loss: 0.2117 +2023-03-04 03:42:43,129 - mmseg - INFO - Iter [42850/160000] lr: 1.500e-04, eta: 6:53:46, time: 0.197, data_time: 0.007, memory: 59439, decode.loss_ce: 0.2111, decode.acc_seg: 91.3911, loss: 0.2111 +2023-03-04 03:42:52,694 - mmseg - INFO - Iter [42900/160000] lr: 1.500e-04, eta: 6:53:33, time: 0.191, data_time: 0.008, memory: 59439, decode.loss_ce: 0.2113, decode.acc_seg: 91.2194, loss: 0.2113 +2023-03-04 03:43:04,743 - mmseg - INFO - Iter [42950/160000] lr: 1.500e-04, eta: 6:53:26, time: 0.241, data_time: 0.054, memory: 59439, decode.loss_ce: 0.2019, decode.acc_seg: 91.8548, loss: 0.2019 +2023-03-04 03:43:14,456 - mmseg - INFO - Exp name: ablation_segformer_mit_b2_segformer_head_unet_fc_small_multi_step_ade_pretrained_freeze_embed_160k_ade20k151_finetune_ema_t20.py +2023-03-04 03:43:14,457 - mmseg - INFO - Iter [43000/160000] lr: 1.500e-04, eta: 6:53:13, time: 0.194, data_time: 0.007, memory: 59439, decode.loss_ce: 0.2029, decode.acc_seg: 91.6016, loss: 0.2029 +2023-03-04 03:43:24,049 - mmseg - INFO - Iter [43050/160000] lr: 1.500e-04, eta: 6:53:00, time: 0.192, data_time: 0.008, memory: 59439, decode.loss_ce: 0.2021, decode.acc_seg: 91.6956, loss: 0.2021 +2023-03-04 03:43:33,587 - mmseg - INFO - Iter [43100/160000] lr: 1.500e-04, eta: 6:52:46, time: 0.191, data_time: 0.008, memory: 59439, decode.loss_ce: 0.2106, decode.acc_seg: 91.4135, loss: 0.2106 +2023-03-04 03:43:43,081 - mmseg - INFO - Iter [43150/160000] lr: 1.500e-04, eta: 6:52:33, time: 0.190, data_time: 0.008, memory: 59439, decode.loss_ce: 0.2233, decode.acc_seg: 90.7188, loss: 0.2233 +2023-03-04 03:43:52,706 - mmseg - INFO - Iter [43200/160000] lr: 1.500e-04, eta: 6:52:20, time: 0.193, data_time: 0.008, memory: 59439, decode.loss_ce: 0.2113, decode.acc_seg: 91.3840, loss: 0.2113 +2023-03-04 03:44:02,660 - mmseg - INFO - Iter [43250/160000] lr: 1.500e-04, eta: 6:52:07, time: 0.199, data_time: 0.008, memory: 59439, decode.loss_ce: 0.2037, decode.acc_seg: 91.6138, loss: 0.2037 +2023-03-04 03:44:12,215 - mmseg - INFO - Iter [43300/160000] lr: 1.500e-04, eta: 6:51:54, time: 0.191, data_time: 0.008, memory: 59439, decode.loss_ce: 0.1976, decode.acc_seg: 92.0002, loss: 0.1976 +2023-03-04 03:44:22,434 - mmseg - INFO - Iter [43350/160000] lr: 1.500e-04, eta: 6:51:42, time: 0.204, data_time: 0.007, memory: 59439, decode.loss_ce: 0.1972, decode.acc_seg: 91.9195, loss: 0.1972 +2023-03-04 03:44:32,137 - mmseg - INFO - Iter [43400/160000] lr: 1.500e-04, eta: 6:51:29, time: 0.194, data_time: 0.008, memory: 59439, decode.loss_ce: 0.2031, decode.acc_seg: 91.7108, loss: 0.2031 +2023-03-04 03:44:41,945 - mmseg - INFO - Iter [43450/160000] lr: 1.500e-04, eta: 6:51:17, time: 0.196, data_time: 0.007, memory: 59439, decode.loss_ce: 0.2042, decode.acc_seg: 91.6029, loss: 0.2042 +2023-03-04 03:44:51,564 - mmseg - INFO - Iter [43500/160000] lr: 1.500e-04, eta: 6:51:04, time: 0.192, data_time: 0.008, memory: 59439, decode.loss_ce: 0.2148, decode.acc_seg: 91.2881, loss: 0.2148 +2023-03-04 03:45:03,656 - mmseg - INFO - Iter [43550/160000] lr: 1.500e-04, eta: 6:50:57, time: 0.242, data_time: 0.054, memory: 59439, decode.loss_ce: 0.2169, decode.acc_seg: 91.3426, loss: 0.2169 +2023-03-04 03:45:13,227 - mmseg - INFO - Iter [43600/160000] lr: 1.500e-04, eta: 6:50:44, time: 0.191, data_time: 0.008, memory: 59439, decode.loss_ce: 0.2095, decode.acc_seg: 91.4521, loss: 0.2095 +2023-03-04 03:45:22,813 - mmseg - INFO - Iter [43650/160000] lr: 1.500e-04, eta: 6:50:30, time: 0.192, data_time: 0.008, memory: 59439, decode.loss_ce: 0.2070, decode.acc_seg: 91.3611, loss: 0.2070 +2023-03-04 03:45:32,313 - mmseg - INFO - Iter [43700/160000] lr: 1.500e-04, eta: 6:50:17, time: 0.190, data_time: 0.007, memory: 59439, decode.loss_ce: 0.2214, decode.acc_seg: 91.0281, loss: 0.2214 +2023-03-04 03:45:42,052 - mmseg - INFO - Iter [43750/160000] lr: 1.500e-04, eta: 6:50:04, time: 0.195, data_time: 0.007, memory: 59439, decode.loss_ce: 0.2069, decode.acc_seg: 91.5436, loss: 0.2069 +2023-03-04 03:45:51,704 - mmseg - INFO - Iter [43800/160000] lr: 1.500e-04, eta: 6:49:51, time: 0.193, data_time: 0.008, memory: 59439, decode.loss_ce: 0.2037, decode.acc_seg: 91.9216, loss: 0.2037 +2023-03-04 03:46:01,425 - mmseg - INFO - Iter [43850/160000] lr: 1.500e-04, eta: 6:49:38, time: 0.194, data_time: 0.008, memory: 59439, decode.loss_ce: 0.2021, decode.acc_seg: 91.7726, loss: 0.2021 +2023-03-04 03:46:11,077 - mmseg - INFO - Iter [43900/160000] lr: 1.500e-04, eta: 6:49:25, time: 0.193, data_time: 0.007, memory: 59439, decode.loss_ce: 0.2022, decode.acc_seg: 91.7325, loss: 0.2022 +2023-03-04 03:46:20,705 - mmseg - INFO - Iter [43950/160000] lr: 1.500e-04, eta: 6:49:12, time: 0.193, data_time: 0.008, memory: 59439, decode.loss_ce: 0.2066, decode.acc_seg: 91.6595, loss: 0.2066 +2023-03-04 03:46:30,313 - mmseg - INFO - Exp name: ablation_segformer_mit_b2_segformer_head_unet_fc_small_multi_step_ade_pretrained_freeze_embed_160k_ade20k151_finetune_ema_t20.py +2023-03-04 03:46:30,313 - mmseg - INFO - Iter [44000/160000] lr: 1.500e-04, eta: 6:48:59, time: 0.192, data_time: 0.008, memory: 59439, decode.loss_ce: 0.2131, decode.acc_seg: 91.2768, loss: 0.2131 +2023-03-04 03:46:40,076 - mmseg - INFO - Iter [44050/160000] lr: 1.500e-04, eta: 6:48:46, time: 0.195, data_time: 0.008, memory: 59439, decode.loss_ce: 0.2050, decode.acc_seg: 91.5503, loss: 0.2050 +2023-03-04 03:46:49,932 - mmseg - INFO - Iter [44100/160000] lr: 1.500e-04, eta: 6:48:34, time: 0.197, data_time: 0.008, memory: 59439, decode.loss_ce: 0.2096, decode.acc_seg: 91.5201, loss: 0.2096 +2023-03-04 03:46:59,616 - mmseg - INFO - Iter [44150/160000] lr: 1.500e-04, eta: 6:48:21, time: 0.194, data_time: 0.008, memory: 59439, decode.loss_ce: 0.2088, decode.acc_seg: 91.4261, loss: 0.2088 +2023-03-04 03:47:11,687 - mmseg - INFO - Iter [44200/160000] lr: 1.500e-04, eta: 6:48:14, time: 0.241, data_time: 0.056, memory: 59439, decode.loss_ce: 0.2018, decode.acc_seg: 91.8060, loss: 0.2018 +2023-03-04 03:47:21,449 - mmseg - INFO - Iter [44250/160000] lr: 1.500e-04, eta: 6:48:02, time: 0.195, data_time: 0.007, memory: 59439, decode.loss_ce: 0.2049, decode.acc_seg: 91.6669, loss: 0.2049 +2023-03-04 03:47:31,220 - mmseg - INFO - Iter [44300/160000] lr: 1.500e-04, eta: 6:47:49, time: 0.195, data_time: 0.007, memory: 59439, decode.loss_ce: 0.2022, decode.acc_seg: 91.7214, loss: 0.2022 +2023-03-04 03:47:41,081 - mmseg - INFO - Iter [44350/160000] lr: 1.500e-04, eta: 6:47:36, time: 0.197, data_time: 0.008, memory: 59439, decode.loss_ce: 0.2053, decode.acc_seg: 91.6147, loss: 0.2053 +2023-03-04 03:47:50,799 - mmseg - INFO - Iter [44400/160000] lr: 1.500e-04, eta: 6:47:24, time: 0.194, data_time: 0.007, memory: 59439, decode.loss_ce: 0.2071, decode.acc_seg: 91.3775, loss: 0.2071 +2023-03-04 03:48:00,565 - mmseg - INFO - Iter [44450/160000] lr: 1.500e-04, eta: 6:47:11, time: 0.195, data_time: 0.007, memory: 59439, decode.loss_ce: 0.2092, decode.acc_seg: 91.4564, loss: 0.2092 +2023-03-04 03:48:10,297 - mmseg - INFO - Iter [44500/160000] lr: 1.500e-04, eta: 6:46:58, time: 0.195, data_time: 0.008, memory: 59439, decode.loss_ce: 0.1987, decode.acc_seg: 91.8865, loss: 0.1987 +2023-03-04 03:48:20,019 - mmseg - INFO - Iter [44550/160000] lr: 1.500e-04, eta: 6:46:45, time: 0.194, data_time: 0.007, memory: 59439, decode.loss_ce: 0.2059, decode.acc_seg: 91.6187, loss: 0.2059 +2023-03-04 03:48:29,895 - mmseg - INFO - Iter [44600/160000] lr: 1.500e-04, eta: 6:46:33, time: 0.198, data_time: 0.008, memory: 59439, decode.loss_ce: 0.2112, decode.acc_seg: 91.5056, loss: 0.2112 +2023-03-04 03:48:39,489 - mmseg - INFO - Iter [44650/160000] lr: 1.500e-04, eta: 6:46:20, time: 0.192, data_time: 0.008, memory: 59439, decode.loss_ce: 0.2121, decode.acc_seg: 91.3497, loss: 0.2121 +2023-03-04 03:48:49,507 - mmseg - INFO - Iter [44700/160000] lr: 1.500e-04, eta: 6:46:08, time: 0.200, data_time: 0.007, memory: 59439, decode.loss_ce: 0.2052, decode.acc_seg: 91.6275, loss: 0.2052 +2023-03-04 03:48:59,369 - mmseg - INFO - Iter [44750/160000] lr: 1.500e-04, eta: 6:45:56, time: 0.197, data_time: 0.007, memory: 59439, decode.loss_ce: 0.2018, decode.acc_seg: 91.5868, loss: 0.2018 +2023-03-04 03:49:08,987 - mmseg - INFO - Iter [44800/160000] lr: 1.500e-04, eta: 6:45:43, time: 0.192, data_time: 0.008, memory: 59439, decode.loss_ce: 0.1983, decode.acc_seg: 91.9553, loss: 0.1983 +2023-03-04 03:49:21,347 - mmseg - INFO - Iter [44850/160000] lr: 1.500e-04, eta: 6:45:37, time: 0.247, data_time: 0.054, memory: 59439, decode.loss_ce: 0.1957, decode.acc_seg: 91.9710, loss: 0.1957 +2023-03-04 03:49:30,861 - mmseg - INFO - Iter [44900/160000] lr: 1.500e-04, eta: 6:45:23, time: 0.190, data_time: 0.007, memory: 59439, decode.loss_ce: 0.1989, decode.acc_seg: 91.7889, loss: 0.1989 +2023-03-04 03:49:40,676 - mmseg - INFO - Iter [44950/160000] lr: 1.500e-04, eta: 6:45:11, time: 0.196, data_time: 0.007, memory: 59439, decode.loss_ce: 0.2110, decode.acc_seg: 91.2881, loss: 0.2110 +2023-03-04 03:49:50,393 - mmseg - INFO - Exp name: ablation_segformer_mit_b2_segformer_head_unet_fc_small_multi_step_ade_pretrained_freeze_embed_160k_ade20k151_finetune_ema_t20.py +2023-03-04 03:49:50,394 - mmseg - INFO - Iter [45000/160000] lr: 1.500e-04, eta: 6:44:58, time: 0.194, data_time: 0.007, memory: 59439, decode.loss_ce: 0.2036, decode.acc_seg: 91.7052, loss: 0.2036 +2023-03-04 03:50:00,121 - mmseg - INFO - Iter [45050/160000] lr: 1.500e-04, eta: 6:44:45, time: 0.195, data_time: 0.008, memory: 59439, decode.loss_ce: 0.2054, decode.acc_seg: 91.6394, loss: 0.2054 +2023-03-04 03:50:10,093 - mmseg - INFO - Iter [45100/160000] lr: 1.500e-04, eta: 6:44:33, time: 0.199, data_time: 0.008, memory: 59439, decode.loss_ce: 0.1949, decode.acc_seg: 91.8928, loss: 0.1949 +2023-03-04 03:50:19,676 - mmseg - INFO - Iter [45150/160000] lr: 1.500e-04, eta: 6:44:20, time: 0.192, data_time: 0.008, memory: 59439, decode.loss_ce: 0.2092, decode.acc_seg: 91.5118, loss: 0.2092 +2023-03-04 03:50:29,193 - mmseg - INFO - Iter [45200/160000] lr: 1.500e-04, eta: 6:44:07, time: 0.190, data_time: 0.008, memory: 59439, decode.loss_ce: 0.2021, decode.acc_seg: 91.8654, loss: 0.2021 +2023-03-04 03:50:39,019 - mmseg - INFO - Iter [45250/160000] lr: 1.500e-04, eta: 6:43:55, time: 0.197, data_time: 0.007, memory: 59439, decode.loss_ce: 0.2032, decode.acc_seg: 91.6488, loss: 0.2032 +2023-03-04 03:50:48,593 - mmseg - INFO - Iter [45300/160000] lr: 1.500e-04, eta: 6:43:42, time: 0.191, data_time: 0.008, memory: 59439, decode.loss_ce: 0.2083, decode.acc_seg: 91.5004, loss: 0.2083 +2023-03-04 03:50:58,082 - mmseg - INFO - Iter [45350/160000] lr: 1.500e-04, eta: 6:43:28, time: 0.190, data_time: 0.008, memory: 59439, decode.loss_ce: 0.2093, decode.acc_seg: 91.4658, loss: 0.2093 +2023-03-04 03:51:07,863 - mmseg - INFO - Iter [45400/160000] lr: 1.500e-04, eta: 6:43:16, time: 0.196, data_time: 0.007, memory: 59439, decode.loss_ce: 0.2005, decode.acc_seg: 91.7352, loss: 0.2005 +2023-03-04 03:51:19,936 - mmseg - INFO - Iter [45450/160000] lr: 1.500e-04, eta: 6:43:09, time: 0.241, data_time: 0.055, memory: 59439, decode.loss_ce: 0.2060, decode.acc_seg: 91.6515, loss: 0.2060 +2023-03-04 03:51:29,692 - mmseg - INFO - Iter [45500/160000] lr: 1.500e-04, eta: 6:42:56, time: 0.195, data_time: 0.008, memory: 59439, decode.loss_ce: 0.2108, decode.acc_seg: 91.4808, loss: 0.2108 +2023-03-04 03:51:39,325 - mmseg - INFO - Iter [45550/160000] lr: 1.500e-04, eta: 6:42:44, time: 0.193, data_time: 0.007, memory: 59439, decode.loss_ce: 0.2071, decode.acc_seg: 91.6017, loss: 0.2071 +2023-03-04 03:51:48,856 - mmseg - INFO - Iter [45600/160000] lr: 1.500e-04, eta: 6:42:30, time: 0.191, data_time: 0.008, memory: 59439, decode.loss_ce: 0.2070, decode.acc_seg: 91.5459, loss: 0.2070 +2023-03-04 03:51:59,061 - mmseg - INFO - Iter [45650/160000] lr: 1.500e-04, eta: 6:42:19, time: 0.204, data_time: 0.007, memory: 59439, decode.loss_ce: 0.1969, decode.acc_seg: 92.0223, loss: 0.1969 +2023-03-04 03:52:08,617 - mmseg - INFO - Iter [45700/160000] lr: 1.500e-04, eta: 6:42:06, time: 0.191, data_time: 0.008, memory: 59439, decode.loss_ce: 0.2112, decode.acc_seg: 91.3415, loss: 0.2112 +2023-03-04 03:52:18,355 - mmseg - INFO - Iter [45750/160000] lr: 1.500e-04, eta: 6:41:53, time: 0.195, data_time: 0.007, memory: 59439, decode.loss_ce: 0.2109, decode.acc_seg: 91.3741, loss: 0.2109 +2023-03-04 03:52:27,991 - mmseg - INFO - Iter [45800/160000] lr: 1.500e-04, eta: 6:41:41, time: 0.193, data_time: 0.008, memory: 59439, decode.loss_ce: 0.2103, decode.acc_seg: 91.2960, loss: 0.2103 +2023-03-04 03:52:38,298 - mmseg - INFO - Iter [45850/160000] lr: 1.500e-04, eta: 6:41:29, time: 0.206, data_time: 0.007, memory: 59439, decode.loss_ce: 0.2087, decode.acc_seg: 91.4846, loss: 0.2087 +2023-03-04 03:52:47,819 - mmseg - INFO - Iter [45900/160000] lr: 1.500e-04, eta: 6:41:16, time: 0.190, data_time: 0.007, memory: 59439, decode.loss_ce: 0.2079, decode.acc_seg: 91.6435, loss: 0.2079 +2023-03-04 03:52:57,551 - mmseg - INFO - Iter [45950/160000] lr: 1.500e-04, eta: 6:41:04, time: 0.195, data_time: 0.008, memory: 59439, decode.loss_ce: 0.2055, decode.acc_seg: 91.7764, loss: 0.2055 +2023-03-04 03:53:07,261 - mmseg - INFO - Exp name: ablation_segformer_mit_b2_segformer_head_unet_fc_small_multi_step_ade_pretrained_freeze_embed_160k_ade20k151_finetune_ema_t20.py +2023-03-04 03:53:07,261 - mmseg - INFO - Iter [46000/160000] lr: 1.500e-04, eta: 6:40:51, time: 0.194, data_time: 0.007, memory: 59439, decode.loss_ce: 0.2099, decode.acc_seg: 91.5437, loss: 0.2099 +2023-03-04 03:53:16,936 - mmseg - INFO - Iter [46050/160000] lr: 1.500e-04, eta: 6:40:38, time: 0.193, data_time: 0.008, memory: 59439, decode.loss_ce: 0.2035, decode.acc_seg: 91.4818, loss: 0.2035 +2023-03-04 03:53:29,017 - mmseg - INFO - Iter [46100/160000] lr: 1.500e-04, eta: 6:40:32, time: 0.242, data_time: 0.054, memory: 59439, decode.loss_ce: 0.2002, decode.acc_seg: 91.7572, loss: 0.2002 +2023-03-04 03:53:38,814 - mmseg - INFO - Iter [46150/160000] lr: 1.500e-04, eta: 6:40:19, time: 0.196, data_time: 0.008, memory: 59439, decode.loss_ce: 0.2016, decode.acc_seg: 91.8425, loss: 0.2016 +2023-03-04 03:53:48,458 - mmseg - INFO - Iter [46200/160000] lr: 1.500e-04, eta: 6:40:06, time: 0.193, data_time: 0.007, memory: 59439, decode.loss_ce: 0.2163, decode.acc_seg: 91.3475, loss: 0.2163 +2023-03-04 03:53:58,039 - mmseg - INFO - Iter [46250/160000] lr: 1.500e-04, eta: 6:39:53, time: 0.192, data_time: 0.007, memory: 59439, decode.loss_ce: 0.2059, decode.acc_seg: 91.5338, loss: 0.2059 +2023-03-04 03:54:07,732 - mmseg - INFO - Iter [46300/160000] lr: 1.500e-04, eta: 6:39:41, time: 0.194, data_time: 0.008, memory: 59439, decode.loss_ce: 0.2003, decode.acc_seg: 91.7106, loss: 0.2003 +2023-03-04 03:54:17,279 - mmseg - INFO - Iter [46350/160000] lr: 1.500e-04, eta: 6:39:28, time: 0.191, data_time: 0.007, memory: 59439, decode.loss_ce: 0.2097, decode.acc_seg: 91.3833, loss: 0.2097 +2023-03-04 03:54:27,026 - mmseg - INFO - Iter [46400/160000] lr: 1.500e-04, eta: 6:39:15, time: 0.195, data_time: 0.008, memory: 59439, decode.loss_ce: 0.2029, decode.acc_seg: 91.7176, loss: 0.2029 +2023-03-04 03:54:36,557 - mmseg - INFO - Iter [46450/160000] lr: 1.500e-04, eta: 6:39:02, time: 0.191, data_time: 0.008, memory: 59439, decode.loss_ce: 0.2041, decode.acc_seg: 91.7029, loss: 0.2041 +2023-03-04 03:54:46,366 - mmseg - INFO - Iter [46500/160000] lr: 1.500e-04, eta: 6:38:50, time: 0.196, data_time: 0.008, memory: 59439, decode.loss_ce: 0.2048, decode.acc_seg: 91.5291, loss: 0.2048 +2023-03-04 03:54:56,151 - mmseg - INFO - Iter [46550/160000] lr: 1.500e-04, eta: 6:38:38, time: 0.196, data_time: 0.008, memory: 59439, decode.loss_ce: 0.2096, decode.acc_seg: 91.4961, loss: 0.2096 +2023-03-04 03:55:05,966 - mmseg - INFO - Iter [46600/160000] lr: 1.500e-04, eta: 6:38:25, time: 0.196, data_time: 0.008, memory: 59439, decode.loss_ce: 0.2006, decode.acc_seg: 91.9574, loss: 0.2006 +2023-03-04 03:55:15,589 - mmseg - INFO - Iter [46650/160000] lr: 1.500e-04, eta: 6:38:13, time: 0.193, data_time: 0.008, memory: 59439, decode.loss_ce: 0.2033, decode.acc_seg: 91.6321, loss: 0.2033 +2023-03-04 03:55:27,554 - mmseg - INFO - Iter [46700/160000] lr: 1.500e-04, eta: 6:38:05, time: 0.239, data_time: 0.057, memory: 59439, decode.loss_ce: 0.2113, decode.acc_seg: 91.5064, loss: 0.2113 +2023-03-04 03:55:37,032 - mmseg - INFO - Iter [46750/160000] lr: 1.500e-04, eta: 6:37:52, time: 0.190, data_time: 0.007, memory: 59439, decode.loss_ce: 0.2109, decode.acc_seg: 91.4091, loss: 0.2109 +2023-03-04 03:55:46,641 - mmseg - INFO - Iter [46800/160000] lr: 1.500e-04, eta: 6:37:40, time: 0.192, data_time: 0.007, memory: 59439, decode.loss_ce: 0.2088, decode.acc_seg: 91.3996, loss: 0.2088 +2023-03-04 03:55:56,144 - mmseg - INFO - Iter [46850/160000] lr: 1.500e-04, eta: 6:37:26, time: 0.190, data_time: 0.008, memory: 59439, decode.loss_ce: 0.2058, decode.acc_seg: 91.7179, loss: 0.2058 +2023-03-04 03:56:05,915 - mmseg - INFO - Iter [46900/160000] lr: 1.500e-04, eta: 6:37:14, time: 0.195, data_time: 0.008, memory: 59439, decode.loss_ce: 0.2014, decode.acc_seg: 91.9111, loss: 0.2014 +2023-03-04 03:56:15,969 - mmseg - INFO - Iter [46950/160000] lr: 1.500e-04, eta: 6:37:02, time: 0.201, data_time: 0.008, memory: 59439, decode.loss_ce: 0.1976, decode.acc_seg: 91.7273, loss: 0.1976 +2023-03-04 03:56:25,501 - mmseg - INFO - Exp name: ablation_segformer_mit_b2_segformer_head_unet_fc_small_multi_step_ade_pretrained_freeze_embed_160k_ade20k151_finetune_ema_t20.py +2023-03-04 03:56:25,501 - mmseg - INFO - Iter [47000/160000] lr: 1.500e-04, eta: 6:36:49, time: 0.191, data_time: 0.007, memory: 59439, decode.loss_ce: 0.2068, decode.acc_seg: 91.6444, loss: 0.2068 +2023-03-04 03:56:35,119 - mmseg - INFO - Iter [47050/160000] lr: 1.500e-04, eta: 6:36:37, time: 0.192, data_time: 0.008, memory: 59439, decode.loss_ce: 0.2087, decode.acc_seg: 91.5708, loss: 0.2087 +2023-03-04 03:56:44,930 - mmseg - INFO - Iter [47100/160000] lr: 1.500e-04, eta: 6:36:24, time: 0.196, data_time: 0.007, memory: 59439, decode.loss_ce: 0.2057, decode.acc_seg: 91.6549, loss: 0.2057 +2023-03-04 03:56:54,408 - mmseg - INFO - Iter [47150/160000] lr: 1.500e-04, eta: 6:36:11, time: 0.190, data_time: 0.007, memory: 59439, decode.loss_ce: 0.2078, decode.acc_seg: 91.5207, loss: 0.2078 +2023-03-04 03:57:04,246 - mmseg - INFO - Iter [47200/160000] lr: 1.500e-04, eta: 6:35:59, time: 0.197, data_time: 0.008, memory: 59439, decode.loss_ce: 0.1995, decode.acc_seg: 91.7453, loss: 0.1995 +2023-03-04 03:57:13,805 - mmseg - INFO - Iter [47250/160000] lr: 1.500e-04, eta: 6:35:46, time: 0.191, data_time: 0.007, memory: 59439, decode.loss_ce: 0.2038, decode.acc_seg: 91.6795, loss: 0.2038 +2023-03-04 03:57:23,458 - mmseg - INFO - Iter [47300/160000] lr: 1.500e-04, eta: 6:35:34, time: 0.193, data_time: 0.007, memory: 59439, decode.loss_ce: 0.2067, decode.acc_seg: 91.4692, loss: 0.2067 +2023-03-04 03:57:35,845 - mmseg - INFO - Iter [47350/160000] lr: 1.500e-04, eta: 6:35:28, time: 0.248, data_time: 0.059, memory: 59439, decode.loss_ce: 0.2035, decode.acc_seg: 91.7646, loss: 0.2035 +2023-03-04 03:57:45,603 - mmseg - INFO - Iter [47400/160000] lr: 1.500e-04, eta: 6:35:15, time: 0.195, data_time: 0.007, memory: 59439, decode.loss_ce: 0.1997, decode.acc_seg: 91.6630, loss: 0.1997 +2023-03-04 03:57:55,358 - mmseg - INFO - Iter [47450/160000] lr: 1.500e-04, eta: 6:35:03, time: 0.195, data_time: 0.008, memory: 59439, decode.loss_ce: 0.2021, decode.acc_seg: 91.6191, loss: 0.2021 +2023-03-04 03:58:04,948 - mmseg - INFO - Iter [47500/160000] lr: 1.500e-04, eta: 6:34:50, time: 0.192, data_time: 0.008, memory: 59439, decode.loss_ce: 0.2086, decode.acc_seg: 91.5521, loss: 0.2086 +2023-03-04 03:58:14,731 - mmseg - INFO - Iter [47550/160000] lr: 1.500e-04, eta: 6:34:38, time: 0.196, data_time: 0.007, memory: 59439, decode.loss_ce: 0.2111, decode.acc_seg: 91.3966, loss: 0.2111 +2023-03-04 03:58:24,319 - mmseg - INFO - Iter [47600/160000] lr: 1.500e-04, eta: 6:34:25, time: 0.192, data_time: 0.008, memory: 59439, decode.loss_ce: 0.2041, decode.acc_seg: 91.6004, loss: 0.2041 +2023-03-04 03:58:33,897 - mmseg - INFO - Iter [47650/160000] lr: 1.500e-04, eta: 6:34:12, time: 0.192, data_time: 0.008, memory: 59439, decode.loss_ce: 0.1990, decode.acc_seg: 91.6045, loss: 0.1990 +2023-03-04 03:58:43,832 - mmseg - INFO - Iter [47700/160000] lr: 1.500e-04, eta: 6:34:00, time: 0.199, data_time: 0.007, memory: 59439, decode.loss_ce: 0.2092, decode.acc_seg: 91.4034, loss: 0.2092 +2023-03-04 03:58:53,413 - mmseg - INFO - Iter [47750/160000] lr: 1.500e-04, eta: 6:33:48, time: 0.192, data_time: 0.007, memory: 59439, decode.loss_ce: 0.2037, decode.acc_seg: 91.8403, loss: 0.2037 +2023-03-04 03:59:02,913 - mmseg - INFO - Iter [47800/160000] lr: 1.500e-04, eta: 6:33:35, time: 0.190, data_time: 0.008, memory: 59439, decode.loss_ce: 0.2088, decode.acc_seg: 91.6005, loss: 0.2088 +2023-03-04 03:59:12,594 - mmseg - INFO - Iter [47850/160000] lr: 1.500e-04, eta: 6:33:22, time: 0.194, data_time: 0.007, memory: 59439, decode.loss_ce: 0.2087, decode.acc_seg: 91.5962, loss: 0.2087 +2023-03-04 03:59:22,137 - mmseg - INFO - Iter [47900/160000] lr: 1.500e-04, eta: 6:33:09, time: 0.191, data_time: 0.008, memory: 59439, decode.loss_ce: 0.2114, decode.acc_seg: 91.4934, loss: 0.2114 +2023-03-04 03:59:31,754 - mmseg - INFO - Iter [47950/160000] lr: 1.500e-04, eta: 6:32:57, time: 0.192, data_time: 0.007, memory: 59439, decode.loss_ce: 0.2109, decode.acc_seg: 91.4240, loss: 0.2109 +2023-03-04 03:59:44,019 - mmseg - INFO - Swap parameters (after train) after iter [48000] +2023-03-04 03:59:44,031 - mmseg - INFO - Saving checkpoint at 48000 iterations +2023-03-04 03:59:45,114 - mmseg - INFO - Exp name: ablation_segformer_mit_b2_segformer_head_unet_fc_small_multi_step_ade_pretrained_freeze_embed_160k_ade20k151_finetune_ema_t20.py +2023-03-04 03:59:45,114 - mmseg - INFO - Iter [48000/160000] lr: 1.500e-04, eta: 6:32:53, time: 0.267, data_time: 0.058, memory: 59439, decode.loss_ce: 0.2092, decode.acc_seg: 91.4048, loss: 0.2092 +2023-03-04 04:03:13,095 - mmseg - INFO - per class results: +2023-03-04 04:03:13,108 - mmseg - INFO - ++---------------------+-------------------------------------------------------------------------------------------------------------------------+ +| Class | IoU 0,1,2,3,4,5,6,7,8,9,10,11,12,13,14,15,16,17,18,19 | ++---------------------+-------------------------------------------------------------------------------------------------------------------------+ +| background | nan,nan,nan,nan,nan,nan,nan,nan,nan,nan,nan,nan,nan,nan,nan,nan,nan,nan,nan,nan | +| wall | 77.36,77.36,77.38,77.38,77.4,77.39,77.41,77.41,77.42,77.42,77.43,77.42,77.41,77.41,77.41,77.41,77.4,77.39,77.39,77.38 | +| building | 81.47,81.48,81.47,81.47,81.49,81.48,81.49,81.49,81.5,81.5,81.5,81.51,81.51,81.51,81.52,81.5,81.53,81.52,81.53,81.52 | +| sky | 94.45,94.46,94.46,94.46,94.46,94.46,94.46,94.47,94.47,94.47,94.48,94.47,94.48,94.47,94.48,94.48,94.48,94.48,94.49,94.48 | +| floor | 81.77,81.78,81.79,81.81,81.81,81.82,81.82,81.84,81.84,81.84,81.84,81.85,81.85,81.85,81.86,81.85,81.87,81.84,81.87,81.84 | +| tree | 74.12,74.12,74.12,74.12,74.14,74.12,74.13,74.11,74.15,74.11,74.15,74.13,74.14,74.12,74.14,74.11,74.12,74.13,74.11,74.11 | +| ceiling | 85.33,85.33,85.33,85.35,85.35,85.35,85.37,85.36,85.36,85.37,85.36,85.36,85.35,85.35,85.33,85.32,85.31,85.29,85.3,85.27 | +| road | 81.85,81.84,81.83,81.86,81.87,81.86,81.88,81.87,81.88,81.87,81.88,81.87,81.88,81.86,81.87,81.87,81.87,81.87,81.88,81.87 | +| bed | 87.76,87.76,87.77,87.77,87.77,87.78,87.76,87.79,87.74,87.76,87.73,87.77,87.73,87.75,87.72,87.74,87.72,87.73,87.71,87.72 | +| windowpane | 60.37,60.34,60.37,60.32,60.39,60.34,60.35,60.37,60.37,60.38,60.37,60.37,60.34,60.4,60.37,60.45,60.38,60.45,60.39,60.46 | +| grass | 67.05,67.03,67.05,67.06,67.06,67.07,67.06,67.07,67.08,67.07,67.09,67.08,67.11,67.08,67.12,67.08,67.11,67.09,67.1,67.08 | +| cabinet | 60.72,60.73,60.76,60.84,60.83,60.88,60.91,60.91,60.95,61.0,61.01,61.02,61.1,61.07,61.11,61.09,61.13,61.1,61.12,61.09 | +| sidewalk | 63.36,63.35,63.31,63.35,63.29,63.32,63.3,63.3,63.28,63.28,63.27,63.23,63.25,63.2,63.22,63.19,63.2,63.16,63.18,63.16 | +| person | 79.56,79.59,79.59,79.6,79.6,79.62,79.61,79.63,79.64,79.65,79.65,79.66,79.67,79.67,79.68,79.68,79.68,79.7,79.67,79.7 | +| earth | 36.29,36.3,36.32,36.31,36.35,36.34,36.36,36.32,36.38,36.34,36.38,36.35,36.37,36.35,36.34,36.33,36.37,36.32,36.38,36.32 | +| door | 45.21,45.2,45.27,45.25,45.28,45.29,45.3,45.3,45.31,45.38,45.32,45.39,45.27,45.37,45.3,45.43,45.32,45.45,45.33,45.48 | +| table | 60.27,60.32,60.32,60.35,60.4,60.41,60.44,60.49,60.5,60.51,60.56,60.59,60.61,60.61,60.64,60.65,60.68,60.66,60.68,60.68 | +| mountain | 57.43,57.44,57.5,57.45,57.49,57.48,57.49,57.51,57.5,57.53,57.49,57.55,57.48,57.54,57.48,57.51,57.48,57.5,57.43,57.43 | +| plant | 50.54,50.53,50.53,50.52,50.53,50.5,50.48,50.48,50.51,50.49,50.41,50.49,50.42,50.46,50.41,50.41,50.41,50.37,50.39,50.34 | +| curtain | 74.22,74.29,74.28,74.26,74.36,74.35,74.33,74.38,74.38,74.4,74.42,74.38,74.4,74.39,74.39,74.37,74.39,74.32,74.38,74.3 | +| chair | 55.94,55.95,55.95,55.97,56.0,55.99,55.99,56.01,56.0,55.99,56.02,56.02,55.98,55.99,55.98,55.99,55.98,55.97,55.96,55.97 | +| car | 81.43,81.44,81.42,81.45,81.45,81.46,81.44,81.41,81.45,81.44,81.45,81.43,81.44,81.44,81.45,81.45,81.46,81.46,81.46,81.45 | +| water | 57.09,57.1,57.15,57.17,57.2,57.23,57.27,57.32,57.32,57.38,57.39,57.45,57.44,57.48,57.5,57.55,57.56,57.57,57.61,57.61 | +| painting | 70.23,70.22,70.18,70.18,70.18,70.21,70.18,70.22,70.18,70.17,70.2,70.2,70.15,70.2,70.14,70.17,70.16,70.16,70.14,70.15 | +| sofa | 64.29,64.3,64.31,64.36,64.39,64.38,64.39,64.43,64.39,64.45,64.43,64.48,64.42,64.47,64.42,64.49,64.41,64.49,64.41,64.48 | +| shelf | 44.11,44.16,44.13,44.21,44.15,44.26,44.25,44.27,44.26,44.26,44.32,44.28,44.38,44.29,44.39,44.31,44.38,44.38,44.43,44.42 | +| house | 41.49,41.56,41.61,41.6,41.7,41.59,41.71,41.63,41.71,41.72,41.74,41.77,41.74,41.78,41.78,41.77,41.79,41.8,41.79,41.8 | +| sea | 60.02,60.0,60.05,60.09,60.11,60.15,60.14,60.17,60.19,60.25,60.23,60.28,60.26,60.29,60.27,60.35,60.29,60.35,60.34,60.38 | +| mirror | 65.03,65.04,65.08,65.07,65.04,65.12,65.1,65.01,65.1,65.07,65.18,65.07,65.15,65.13,65.13,65.11,65.12,65.11,65.13,65.12 | +| rug | 65.6,65.66,65.69,65.69,65.71,65.73,65.74,65.76,65.72,65.79,65.76,65.82,65.81,65.83,65.84,65.8,65.84,65.77,65.8,65.77 | +| field | 31.05,31.05,31.06,31.08,31.07,31.09,31.09,31.11,31.09,31.11,31.13,31.12,31.14,31.14,31.15,31.17,31.17,31.18,31.19,31.19 | +| armchair | 37.43,37.46,37.49,37.51,37.54,37.58,37.59,37.61,37.57,37.65,37.59,37.67,37.62,37.74,37.61,37.77,37.63,37.82,37.64,37.86 | +| seat | 65.88,65.89,65.93,66.0,65.85,65.98,65.91,65.99,65.92,66.02,65.95,66.01,65.98,66.04,66.01,66.03,66.02,66.03,66.02,66.04 | +| fence | 41.02,40.89,40.99,40.94,40.89,40.95,40.92,40.9,40.93,40.87,41.0,40.86,40.97,40.84,40.94,40.81,40.93,40.81,40.91,40.77 | +| desk | 46.88,46.85,46.88,46.93,46.87,46.91,46.97,46.99,46.98,47.01,46.95,47.0,46.95,47.05,46.97,47.03,46.93,47.03,46.92,47.04 | +| rock | 36.82,36.85,36.88,36.9,36.86,36.86,36.9,36.88,36.91,36.92,36.9,36.96,36.85,36.94,36.9,36.88,36.92,36.88,36.93,36.86 | +| wardrobe | 57.09,57.16,57.19,57.15,57.12,57.23,57.2,57.23,57.21,57.2,57.26,57.22,57.29,57.27,57.27,57.25,57.29,57.25,57.24,57.25 | +| lamp | 61.63,61.65,61.72,61.69,61.67,61.67,61.74,61.71,61.79,61.78,61.84,61.84,61.86,61.9,61.88,61.89,61.89,61.87,61.89,61.81 | +| bathtub | 76.76,76.79,76.83,76.79,76.83,76.92,76.81,76.92,76.96,77.02,76.95,76.97,77.03,77.08,77.16,77.11,77.11,77.2,77.05,77.24 | +| railing | 33.75,33.77,33.77,33.79,33.74,33.75,33.82,33.78,33.8,33.81,33.88,33.81,33.89,33.86,33.89,33.89,33.86,33.88,33.88,33.86 | +| cushion | 56.37,56.2,56.41,56.46,56.33,56.35,56.23,56.3,56.39,56.33,56.38,56.3,56.29,56.39,56.28,56.38,56.29,56.39,56.29,56.37 | +| base | 21.81,21.89,21.86,21.82,21.96,21.9,21.97,21.89,22.07,21.92,22.09,21.9,22.13,21.88,22.18,21.84,22.19,21.87,22.23,21.81 | +| box | 23.04,23.07,23.08,23.08,23.11,23.14,23.1,23.21,23.16,23.18,23.24,23.16,23.18,23.24,23.16,23.28,23.18,23.27,23.22,23.26 | +| column | 45.81,45.84,45.87,45.87,45.93,45.84,45.88,45.89,45.99,45.84,45.99,45.91,45.9,45.93,45.95,45.93,46.0,45.97,45.99,45.92 | +| signboard | 38.29,38.26,38.29,38.28,38.3,38.16,38.27,38.19,38.22,38.21,38.17,38.2,38.18,38.25,38.19,38.24,38.16,38.25,38.17,38.27 | +| chest of drawers | 36.44,36.42,36.41,36.48,36.46,36.48,36.43,36.38,36.43,36.54,36.54,36.6,36.78,36.59,36.82,36.71,36.99,36.87,37.11,37.01 | +| counter | 31.1,31.01,31.06,31.12,31.03,31.12,31.11,31.06,31.06,31.08,31.1,31.03,31.15,31.01,31.05,30.97,31.01,30.94,30.98,30.9 | +| sand | 41.67,41.65,41.67,41.7,41.73,41.76,41.75,41.78,41.81,41.86,41.84,41.94,41.94,42.03,41.99,42.08,42.08,42.14,42.16,42.22 | +| sink | 67.76,67.82,67.75,67.74,67.81,67.77,67.76,67.75,67.74,67.7,67.76,67.67,67.73,67.66,67.76,67.72,67.77,67.65,67.77,67.65 | +| skyscraper | 48.34,48.44,48.2,48.14,48.2,48.11,48.15,48.07,48.05,48.07,48.07,48.08,48.09,48.06,48.19,48.08,48.35,48.11,48.59,48.15 | +| fireplace | 75.71,75.67,75.77,75.75,75.76,75.79,75.94,75.87,75.91,75.85,76.04,75.9,76.02,75.97,76.08,75.99,76.14,75.99,76.19,76.02 | +| refrigerator | 73.87,73.91,74.15,74.27,74.39,74.42,74.6,74.6,74.64,74.8,74.6,74.87,74.63,74.92,74.8,74.98,74.79,75.0,74.76,74.93 | +| grandstand | 50.82,50.93,50.95,50.97,51.05,51.02,51.13,51.31,51.27,51.47,51.34,51.54,51.54,51.47,51.55,51.6,51.7,51.66,51.75,51.7 | +| path | 21.96,21.96,21.95,21.98,21.96,21.96,21.94,21.89,21.88,21.88,21.82,21.84,21.78,21.76,21.73,21.68,21.66,21.6,21.6,21.56 | +| stairs | 31.89,31.9,31.91,31.92,31.92,31.92,31.93,31.95,31.96,31.97,31.88,31.98,31.94,31.98,31.93,32.02,31.92,31.98,31.95,31.97 | +| runway | 67.44,67.45,67.56,67.59,67.56,67.6,67.66,67.69,67.72,67.69,67.8,67.79,67.8,67.82,67.84,67.89,67.89,67.93,67.92,67.98 | +| case | 47.48,47.5,47.5,47.5,47.54,47.51,47.59,47.47,47.57,47.5,47.53,47.5,47.59,47.52,47.59,47.54,47.55,47.55,47.51,47.48 | +| pool table | 91.89,91.88,91.88,91.91,91.94,91.95,91.95,91.97,91.98,91.96,92.0,91.99,92.03,92.01,92.06,92.01,92.07,92.02,92.08,92.06 | +| pillow | 61.13,60.88,61.13,61.07,61.11,60.96,60.8,60.99,61.05,60.86,60.96,60.83,60.82,60.87,60.88,60.85,60.85,60.78,60.88,60.8 | +| screen door | 68.62,68.57,68.65,68.6,68.6,68.66,68.63,68.7,68.55,68.67,68.62,68.63,68.57,68.56,68.47,68.61,68.56,68.43,68.71,68.51 | +| stairway | 23.79,23.82,23.88,23.92,23.9,23.94,23.94,23.85,23.99,23.95,23.96,24.03,24.06,24.01,24.14,24.08,24.22,24.12,24.27,24.24 | +| river | 11.88,11.88,11.88,11.88,11.87,11.85,11.84,11.84,11.83,11.83,11.81,11.84,11.81,11.81,11.78,11.81,11.79,11.8,11.78,11.78 | +| bridge | 31.24,31.23,31.23,31.17,31.31,31.21,31.21,31.23,31.23,31.23,31.22,31.32,31.28,31.29,31.33,31.31,31.39,31.33,31.41,31.36 | +| bookcase | 45.37,45.26,45.31,45.3,45.27,45.23,45.31,45.29,45.33,45.3,45.29,45.21,45.29,45.23,45.29,45.16,45.25,45.11,45.25,45.05 | +| blind | 38.87,38.81,38.68,38.72,38.83,38.76,38.77,38.86,38.8,38.9,38.8,38.98,38.76,39.14,38.78,39.26,38.88,39.36,39.03,39.44 | +| coffee table | 53.48,53.48,53.55,53.52,53.59,53.61,53.59,53.58,53.61,53.51,53.58,53.51,53.57,53.42,53.49,53.39,53.43,53.35,53.4,53.28 | +| toilet | 83.99,83.98,83.96,84.03,83.96,83.96,84.02,83.95,83.99,83.95,84.0,84.03,83.93,83.98,84.01,83.95,83.99,83.85,84.0,83.84 | +| flower | 39.06,39.05,39.08,39.07,39.07,39.12,39.02,39.11,39.06,39.08,39.06,39.06,39.06,39.04,39.08,39.02,39.07,38.96,39.09,38.96 | +| book | 44.69,44.62,44.72,44.73,44.79,44.7,44.74,44.87,44.86,44.78,44.94,44.71,44.99,44.81,45.04,44.75,45.14,44.78,45.16,44.78 | +| hill | 14.81,14.87,14.87,14.88,14.87,14.84,14.82,14.76,14.81,14.78,14.82,14.79,14.78,14.81,14.77,14.85,14.83,14.89,14.86,14.92 | +| bench | 43.06,43.03,43.01,42.98,42.94,43.01,42.93,42.98,42.83,42.83,42.8,42.73,42.7,42.69,42.66,42.58,42.55,42.52,42.5,42.5 | +| countertop | 55.19,55.14,55.19,55.16,55.14,55.27,55.16,55.3,55.13,55.24,55.13,55.24,55.18,55.21,55.21,55.25,55.26,55.29,55.28,55.29 | +| stove | 70.65,70.62,70.61,70.59,70.64,70.55,70.54,70.66,70.46,70.61,70.5,70.53,70.47,70.52,70.4,70.5,70.39,70.5,70.32,70.5 | +| palm | 47.7,47.75,47.7,47.72,47.69,47.73,47.8,47.69,47.73,47.7,47.72,47.66,47.73,47.72,47.68,47.71,47.68,47.68,47.59,47.62 | +| kitchen island | 44.38,44.34,44.56,44.41,44.64,44.62,44.69,44.56,44.67,44.77,44.61,44.79,44.87,44.86,44.93,44.9,45.01,45.03,45.08,45.02 | +| computer | 60.29,60.31,60.27,60.31,60.27,60.28,60.31,60.28,60.25,60.33,60.25,60.32,60.26,60.32,60.27,60.32,60.24,60.26,60.2,60.24 | +| swivel chair | 43.91,43.96,43.94,43.91,43.89,43.89,43.96,43.91,43.88,43.8,43.89,43.83,43.84,43.76,43.79,43.81,43.77,43.83,43.71,43.82 | +| boat | 73.0,72.97,72.96,72.95,72.94,72.99,73.02,72.94,72.96,73.05,73.0,72.98,72.94,73.03,72.96,73.03,72.99,73.12,72.97,73.13 | +| bar | 23.84,23.82,23.81,23.79,23.81,23.78,23.8,23.78,23.81,23.77,23.82,23.78,23.78,23.82,23.78,23.81,23.77,23.78,23.75,23.77 | +| arcade machine | 70.51,71.15,70.92,70.91,71.34,71.04,71.33,71.18,71.3,71.41,71.71,71.58,71.62,71.55,71.67,71.26,71.76,71.28,71.44,71.31 | +| hovel | 33.0,32.78,32.77,32.51,32.34,32.44,32.15,32.12,31.97,31.99,31.73,31.7,31.68,31.55,31.56,31.26,31.51,31.17,31.31,31.05 | +| bus | 79.37,79.32,79.35,79.37,79.3,79.32,79.23,79.31,79.24,79.31,79.21,79.21,79.19,79.2,79.26,79.11,79.17,79.15,79.16,79.08 | +| towel | 62.89,62.76,62.83,62.87,62.84,62.88,62.87,62.82,62.8,62.86,62.89,62.79,62.88,62.84,62.81,62.78,62.74,62.77,62.72,62.78 | +| light | 55.89,55.81,55.9,55.9,55.86,55.88,55.82,55.82,55.82,55.77,55.69,55.69,55.68,55.62,55.55,55.63,55.48,55.45,55.43,55.41 | +| truck | 18.55,18.5,18.49,18.55,18.38,18.34,18.38,18.33,18.31,18.36,18.17,18.12,18.18,17.96,18.14,18.02,17.96,18.05,17.85,18.04 | +| tower | 9.53,9.63,9.57,9.64,9.61,9.66,9.69,9.71,9.79,9.74,9.81,9.75,9.91,9.77,9.95,9.81,10.02,9.85,10.08,9.92 | +| chandelier | 64.01,63.99,64.03,63.94,64.03,64.07,64.13,64.12,64.17,64.19,64.1,64.23,64.2,64.16,64.29,64.18,64.23,64.23,64.28,64.23 | +| awning | 24.53,24.6,24.57,24.65,24.69,24.83,24.75,24.86,24.78,24.87,24.87,24.95,25.03,24.88,25.1,24.98,25.21,25.05,25.24,25.18 | +| streetlight | 26.61,26.63,26.61,26.6,26.63,26.65,26.55,26.63,26.57,26.65,26.55,26.57,26.62,26.55,26.61,26.54,26.58,26.55,26.59,26.55 | +| booth | 45.84,46.22,46.14,46.1,46.26,46.28,46.36,46.35,46.53,46.41,46.59,46.62,46.63,46.62,46.87,46.7,46.75,46.81,46.75,46.85 | +| television receiver | 63.98,64.08,63.88,64.02,64.03,63.97,63.94,63.96,63.92,63.89,63.92,63.83,63.86,63.86,63.75,63.89,63.67,63.9,63.62,63.85 | +| airplane | 58.36,58.38,58.44,58.41,58.45,58.4,58.32,58.36,58.45,58.42,58.35,58.43,58.4,58.34,58.4,58.4,58.33,58.38,58.31,58.32 | +| dirt track | 22.88,23.51,23.31,23.42,23.81,23.82,23.89,24.08,23.96,24.09,24.13,24.19,24.19,24.29,24.27,24.29,24.37,24.3,24.34,24.41 | +| apparel | 33.58,33.61,33.53,33.51,33.55,33.56,33.63,33.63,33.58,33.58,33.61,33.52,33.68,33.64,33.73,33.65,33.78,33.7,33.8,33.7 | +| pole | 20.28,20.31,20.33,20.27,20.45,20.39,20.44,20.32,20.42,20.29,20.36,20.32,20.47,20.3,20.4,20.27,20.26,20.17,20.28,20.18 | +| land | 3.65,3.6,3.63,3.62,3.65,3.6,3.64,3.61,3.61,3.61,3.61,3.63,3.6,3.61,3.58,3.6,3.61,3.62,3.6,3.58 | +| bannister | 11.73,11.78,11.83,11.75,11.8,11.86,11.95,11.98,12.03,11.99,11.99,12.07,12.02,12.06,12.12,12.07,12.13,12.18,12.18,12.18 | +| escalator | 23.59,23.66,23.65,23.74,23.81,23.78,23.76,23.76,23.86,23.91,23.9,23.94,24.0,24.06,24.03,24.2,24.13,24.22,24.2,24.24 | +| ottoman | 43.54,43.56,43.42,43.37,43.34,43.27,43.15,43.21,43.06,43.11,42.98,43.0,42.89,42.88,42.79,42.92,42.8,42.86,42.69,42.85 | +| bottle | 35.43,35.57,35.42,35.34,35.27,35.62,35.33,35.26,35.51,35.29,35.3,35.25,35.3,35.18,35.35,35.29,35.23,35.28,35.29,35.27 | +| buffet | 38.65,38.68,39.26,39.07,39.02,39.14,39.42,39.65,39.67,39.74,40.08,40.23,40.48,40.51,40.6,40.35,40.74,40.37,40.81,40.42 | +| poster | 22.55,22.48,22.61,22.59,22.62,22.61,22.64,22.69,22.65,22.65,22.68,22.63,22.71,22.6,22.78,22.59,22.79,22.6,22.9,22.63 | +| stage | 15.22,15.24,15.26,15.29,15.41,15.28,15.25,15.35,15.37,15.35,15.34,15.33,15.35,15.24,15.37,15.24,15.2,15.16,15.2,15.2 | +| van | 38.77,38.79,38.72,38.77,38.81,38.79,38.81,38.83,38.83,38.82,38.85,38.86,38.86,38.88,38.92,38.93,38.95,38.92,39.0,38.95 | +| ship | 82.92,82.99,83.08,83.2,83.21,83.1,83.22,83.39,83.37,83.37,83.28,83.48,83.36,83.4,83.45,83.62,83.45,83.52,83.44,83.52 | +| fountain | 17.56,17.76,18.11,18.0,18.29,18.27,18.57,18.98,19.11,19.44,19.61,19.92,20.11,20.31,20.6,20.75,20.95,21.06,21.32,21.38 | +| conveyer belt | 84.77,84.87,84.9,84.89,84.86,84.87,84.83,84.91,84.93,84.88,84.86,84.91,84.89,84.92,84.9,84.9,84.86,84.88,84.85,84.91 | +| canopy | 21.81,22.02,22.06,22.16,22.18,22.22,22.44,22.46,22.53,22.6,22.68,22.82,22.84,22.87,22.93,23.03,23.03,23.23,23.18,23.34 | +| washer | 73.9,74.02,74.19,74.13,74.17,74.43,74.4,74.39,74.58,74.51,74.74,74.69,74.81,74.74,74.98,74.98,75.15,75.12,75.45,75.34 | +| plaything | 21.1,21.09,21.11,21.11,21.06,21.06,21.02,21.0,20.97,21.02,21.06,20.98,20.99,21.04,20.93,20.97,20.94,20.96,20.92,20.92 | +| swimming pool | 72.64,72.85,72.92,73.18,72.89,72.94,73.11,73.3,73.18,73.17,73.18,73.33,73.22,73.56,73.22,73.66,73.41,73.56,73.31,73.63 | +| stool | 44.19,44.08,44.45,44.24,44.34,44.31,44.47,44.5,44.49,44.52,44.38,44.55,44.4,44.65,44.51,44.72,44.64,44.64,44.72,44.64 | +| barrel | 39.09,39.1,38.86,39.41,39.0,38.68,38.06,38.64,38.37,38.17,38.0,38.39,37.89,37.7,37.81,37.62,37.54,37.56,37.39,37.54 | +| basket | 23.59,23.61,23.61,23.64,23.63,23.6,23.52,23.54,23.62,23.57,23.6,23.58,23.62,23.63,23.64,23.65,23.74,23.67,23.79,23.69 | +| waterfall | 50.46,50.43,50.53,50.58,50.73,50.61,50.81,50.79,50.97,51.01,51.12,51.09,51.23,51.24,51.42,51.33,51.49,51.46,51.59,51.58 | +| tent | 94.21,94.23,94.2,94.31,94.27,94.32,94.32,94.39,94.35,94.46,94.33,94.54,94.31,94.56,94.32,94.55,94.39,94.61,94.38,94.57 | +| bag | 15.42,15.53,15.48,15.51,15.49,15.52,15.59,15.54,15.67,15.72,15.71,15.79,15.85,15.83,15.88,15.94,15.86,16.2,15.93,16.36 | +| minibike | 61.19,61.29,61.13,61.24,61.16,61.17,61.17,61.27,61.29,61.16,61.2,61.2,61.27,61.38,61.41,61.42,61.41,61.39,61.38,61.43 | +| cradle | 83.88,83.9,84.01,84.06,84.08,84.06,84.08,84.24,84.21,84.38,84.26,84.42,84.51,84.47,84.54,84.61,84.73,84.7,84.82,84.77 | +| oven | 46.75,46.57,46.79,46.67,46.8,46.65,46.68,46.72,46.8,46.83,46.77,46.85,46.93,46.95,47.0,47.02,47.18,47.15,47.23,47.3 | +| ball | 46.07,45.91,45.82,45.86,45.7,45.74,45.64,45.68,45.54,45.51,45.36,45.36,45.18,45.22,45.0,45.2,44.76,45.05,44.67,44.9 | +| food | 54.31,54.54,54.47,54.47,54.5,54.58,54.53,54.48,54.48,54.54,54.48,54.54,54.43,54.43,54.51,54.39,54.39,54.42,54.3,54.43 | +| step | 7.21,6.98,6.98,6.95,7.12,6.98,7.19,7.01,7.21,6.87,6.96,6.95,7.09,6.94,7.12,6.97,7.11,6.94,7.1,6.89 | +| tank | 52.46,52.4,52.41,52.4,52.35,52.44,52.3,52.39,52.38,52.33,52.33,52.36,52.4,52.4,52.34,52.38,52.39,52.39,52.42,52.38 | +| trade name | 28.51,28.69,28.6,28.63,28.57,28.52,28.56,28.46,28.43,28.45,28.43,28.48,28.4,28.38,28.38,28.34,28.18,28.29,28.12,28.28 | +| microwave | 72.56,72.55,72.65,72.75,72.75,72.77,72.84,72.9,73.01,72.97,73.08,73.05,73.23,73.29,73.27,73.34,73.46,73.48,73.53,73.51 | +| pot | 30.47,30.46,30.5,30.46,30.57,30.55,30.56,30.61,30.67,30.7,30.71,30.66,30.73,30.8,30.82,30.81,30.96,30.95,31.04,31.07 | +| animal | 55.34,55.36,55.39,55.45,55.42,55.48,55.46,55.47,55.51,55.51,55.5,55.5,55.54,55.51,55.57,55.53,55.59,55.54,55.54,55.56 | +| bicycle | 54.25,54.35,54.42,54.33,54.41,54.42,54.46,54.42,54.42,54.59,54.56,54.55,54.61,54.71,54.6,54.59,54.64,54.63,54.6,54.58 | +| lake | 56.8,56.78,56.85,56.78,56.76,56.82,56.83,56.82,56.78,56.83,56.81,56.83,56.77,56.82,56.81,56.8,56.8,56.81,56.79,56.81 | +| dishwasher | 63.74,63.53,63.57,63.52,63.65,63.48,63.35,63.42,63.4,63.34,63.27,63.09,62.99,63.2,62.94,63.23,62.81,63.19,62.79,63.24 | +| screen | 69.32,69.22,69.0,68.83,68.79,68.66,68.54,68.2,68.14,68.04,68.12,67.93,68.08,67.82,68.09,67.79,68.15,67.9,68.15,67.88 | +| blanket | 18.32,18.28,18.37,18.32,18.38,18.32,18.31,18.39,18.35,18.35,18.32,18.32,18.34,18.28,18.25,18.26,18.34,18.27,18.36,18.25 | +| sculpture | 55.85,55.95,55.73,55.51,55.53,55.46,55.44,55.36,55.42,55.21,55.14,55.15,54.98,55.07,54.98,54.99,54.79,54.94,54.64,54.78 | +| hood | 58.14,57.88,57.97,57.85,57.96,57.95,57.8,57.74,57.68,57.6,57.65,57.69,57.78,57.63,57.88,57.64,57.8,57.63,57.62,57.49 | +| sconce | 41.97,42.1,42.26,42.21,42.22,42.49,42.46,42.36,42.71,42.63,42.86,42.81,43.03,42.81,43.1,43.04,43.13,43.07,43.23,43.14 | +| vase | 36.66,36.78,36.82,36.88,36.84,36.93,36.9,37.08,37.03,37.05,36.99,37.05,37.02,37.13,37.09,37.19,37.1,37.22,37.15,37.21 | +| traffic light | 32.92,32.91,32.94,33.11,33.02,33.01,32.99,33.14,33.23,33.1,33.18,33.23,33.29,33.32,33.34,33.4,33.41,33.48,33.52,33.55 | +| tray | 6.52,6.57,6.61,6.65,6.48,6.69,6.8,6.73,6.81,6.75,6.85,6.91,6.92,6.95,6.93,7.02,6.97,7.07,7.0,7.09 | +| ashcan | 41.86,41.89,41.8,41.89,41.89,41.91,42.02,41.69,42.03,41.85,42.01,41.79,41.94,41.75,41.93,41.73,41.99,41.73,41.83,41.71 | +| fan | 57.57,57.61,57.63,57.7,57.72,57.59,57.62,57.62,57.58,57.64,57.56,57.63,57.58,57.56,57.5,57.53,57.58,57.51,57.45,57.48 | +| pier | 46.81,46.97,46.82,46.9,46.83,47.08,46.97,46.51,46.64,47.42,47.3,47.58,47.62,47.31,47.72,47.32,48.12,47.53,48.2,47.7 | +| crt screen | 11.21,11.04,11.03,11.23,11.19,11.13,11.13,11.17,11.19,11.15,11.17,11.15,11.21,11.12,11.23,11.18,11.26,11.17,11.27,11.16 | +| plate | 52.42,52.42,52.51,52.5,52.5,52.56,52.63,52.6,52.62,52.74,52.69,52.72,52.72,52.73,52.84,52.72,52.9,52.84,52.95,52.86 | +| monitor | 24.26,24.3,24.09,24.03,24.02,23.9,23.91,23.8,23.7,23.79,23.66,23.7,23.51,23.53,23.36,23.39,23.3,23.25,23.11,23.09 | +| bulletin board | 37.58,37.63,37.71,37.81,37.9,37.96,37.98,38.0,38.01,38.01,38.09,38.1,37.95,38.14,38.12,38.17,38.16,38.29,38.26,38.35 | +| shower | 1.69,1.68,1.75,1.75,1.74,1.79,1.79,1.76,1.79,1.82,1.84,1.71,1.93,1.78,1.89,1.8,1.93,1.79,1.91,1.79 | +| radiator | 61.61,61.68,62.02,62.15,61.99,62.46,62.44,62.74,62.79,62.93,63.32,63.09,63.44,63.26,63.71,63.6,63.84,63.66,63.98,63.7 | +| glass | 13.07,13.05,13.07,13.01,13.06,13.11,13.03,13.13,13.02,13.14,13.07,13.0,13.08,13.07,13.06,13.09,13.01,13.16,13.01,13.21 | +| clock | 34.91,35.01,34.71,34.49,34.63,34.75,34.74,34.95,34.78,34.67,34.8,34.79,34.7,34.48,34.32,34.22,34.08,33.94,33.88,33.89 | +| flag | 35.56,35.59,35.72,35.54,35.45,35.42,35.59,35.63,35.55,35.42,35.6,35.33,35.57,35.43,35.29,35.46,35.41,35.23,35.52,35.29 | ++---------------------+-------------------------------------------------------------------------------------------------------------------------+ +2023-03-04 04:03:13,108 - mmseg - INFO - Summary: +2023-03-04 04:03:13,108 - mmseg - INFO - ++----------------------------------------------------------------------------------------------------------------------+ +| mIoU 0,1,2,3,4,5,6,7,8,9,10,11,12,13,14,15,16,17,18,19 | ++----------------------------------------------------------------------------------------------------------------------+ +| 48.53,48.55,48.57,48.57,48.59,48.59,48.6,48.61,48.63,48.63,48.64,48.65,48.67,48.66,48.68,48.67,48.7,48.68,48.7,48.69 | ++----------------------------------------------------------------------------------------------------------------------+ +2023-03-04 04:03:13,144 - mmseg - INFO - The previous best checkpoint /mnt/petrelfs/laizeqiang/mmseg-baseline/work_dirs2/ablation_segformer_mit_b2_segformer_head_unet_fc_small_multi_step_ade_pretrained_freeze_embed_160k_ade20k151_finetune_ema_t20/best_mIoU_iter_32000.pth was removed +2023-03-04 04:03:14,068 - mmseg - INFO - Now best checkpoint is saved as best_mIoU_iter_48000.pth. +2023-03-04 04:03:14,069 - mmseg - INFO - Best mIoU is 0.4869 at 48000 iter. +2023-03-04 04:03:14,069 - mmseg - INFO - Exp name: ablation_segformer_mit_b2_segformer_head_unet_fc_small_multi_step_ade_pretrained_freeze_embed_160k_ade20k151_finetune_ema_t20.py +2023-03-04 04:03:14,069 - mmseg - INFO - Iter(val) [250] mIoU: [0.4853, 0.4855, 0.4857, 0.4857, 0.4859, 0.4859, 0.486, 0.4861, 0.4863, 0.4863, 0.4864, 0.4865, 0.4867, 0.4866, 0.4868, 0.4867, 0.487, 0.4868, 0.487, 0.4869], copy_paste: 48.53,48.55,48.57,48.57,48.59,48.59,48.6,48.61,48.63,48.63,48.64,48.65,48.67,48.66,48.68,48.67,48.7,48.68,48.7,48.69 +2023-03-04 04:03:14,075 - mmseg - INFO - Swap parameters (before train) before iter [48001] +2023-03-04 04:03:24,123 - mmseg - INFO - Iter [48050/160000] lr: 1.500e-04, eta: 6:40:48, time: 4.380, data_time: 4.187, memory: 59439, decode.loss_ce: 0.1987, decode.acc_seg: 91.9764, loss: 0.1987 +2023-03-04 04:03:34,241 - mmseg - INFO - Iter [48100/160000] lr: 1.500e-04, eta: 6:40:36, time: 0.202, data_time: 0.007, memory: 59439, decode.loss_ce: 0.2019, decode.acc_seg: 91.7123, loss: 0.2019 +2023-03-04 04:03:44,016 - mmseg - INFO - Iter [48150/160000] lr: 1.500e-04, eta: 6:40:23, time: 0.195, data_time: 0.007, memory: 59439, decode.loss_ce: 0.2101, decode.acc_seg: 91.5124, loss: 0.2101 +2023-03-04 04:03:53,637 - mmseg - INFO - Iter [48200/160000] lr: 1.500e-04, eta: 6:40:10, time: 0.192, data_time: 0.008, memory: 59439, decode.loss_ce: 0.2078, decode.acc_seg: 91.5728, loss: 0.2078 +2023-03-04 04:04:03,255 - mmseg - INFO - Iter [48250/160000] lr: 1.500e-04, eta: 6:39:56, time: 0.192, data_time: 0.008, memory: 59439, decode.loss_ce: 0.2019, decode.acc_seg: 91.7444, loss: 0.2019 +2023-03-04 04:04:12,857 - mmseg - INFO - Iter [48300/160000] lr: 1.500e-04, eta: 6:39:43, time: 0.192, data_time: 0.008, memory: 59439, decode.loss_ce: 0.2072, decode.acc_seg: 91.6100, loss: 0.2072 +2023-03-04 04:04:22,546 - mmseg - INFO - Iter [48350/160000] lr: 1.500e-04, eta: 6:39:30, time: 0.194, data_time: 0.008, memory: 59439, decode.loss_ce: 0.2116, decode.acc_seg: 91.3482, loss: 0.2116 +2023-03-04 04:04:32,545 - mmseg - INFO - Iter [48400/160000] lr: 1.500e-04, eta: 6:39:17, time: 0.200, data_time: 0.008, memory: 59439, decode.loss_ce: 0.2064, decode.acc_seg: 91.5286, loss: 0.2064 +2023-03-04 04:04:42,369 - mmseg - INFO - Iter [48450/160000] lr: 1.500e-04, eta: 6:39:04, time: 0.196, data_time: 0.007, memory: 59439, decode.loss_ce: 0.2027, decode.acc_seg: 91.5744, loss: 0.2027 +2023-03-04 04:04:52,549 - mmseg - INFO - Iter [48500/160000] lr: 1.500e-04, eta: 6:38:52, time: 0.204, data_time: 0.008, memory: 59439, decode.loss_ce: 0.2007, decode.acc_seg: 91.7347, loss: 0.2007 +2023-03-04 04:05:02,131 - mmseg - INFO - Iter [48550/160000] lr: 1.500e-04, eta: 6:38:39, time: 0.192, data_time: 0.008, memory: 59439, decode.loss_ce: 0.2071, decode.acc_seg: 91.5354, loss: 0.2071 +2023-03-04 04:05:14,349 - mmseg - INFO - Iter [48600/160000] lr: 1.500e-04, eta: 6:38:32, time: 0.244, data_time: 0.057, memory: 59439, decode.loss_ce: 0.2087, decode.acc_seg: 91.2866, loss: 0.2087 +2023-03-04 04:05:23,867 - mmseg - INFO - Iter [48650/160000] lr: 1.500e-04, eta: 6:38:18, time: 0.190, data_time: 0.008, memory: 59439, decode.loss_ce: 0.2077, decode.acc_seg: 91.5912, loss: 0.2077 +2023-03-04 04:05:33,417 - mmseg - INFO - Iter [48700/160000] lr: 1.500e-04, eta: 6:38:05, time: 0.191, data_time: 0.008, memory: 59439, decode.loss_ce: 0.2029, decode.acc_seg: 91.6097, loss: 0.2029 +2023-03-04 04:05:43,243 - mmseg - INFO - Iter [48750/160000] lr: 1.500e-04, eta: 6:37:52, time: 0.197, data_time: 0.008, memory: 59439, decode.loss_ce: 0.2109, decode.acc_seg: 91.4377, loss: 0.2109 +2023-03-04 04:05:52,969 - mmseg - INFO - Iter [48800/160000] lr: 1.500e-04, eta: 6:37:39, time: 0.195, data_time: 0.008, memory: 59439, decode.loss_ce: 0.2038, decode.acc_seg: 91.7146, loss: 0.2038 +2023-03-04 04:06:02,825 - mmseg - INFO - Iter [48850/160000] lr: 1.500e-04, eta: 6:37:26, time: 0.197, data_time: 0.008, memory: 59439, decode.loss_ce: 0.2197, decode.acc_seg: 91.0966, loss: 0.2197 +2023-03-04 04:06:12,491 - mmseg - INFO - Iter [48900/160000] lr: 1.500e-04, eta: 6:37:13, time: 0.193, data_time: 0.007, memory: 59439, decode.loss_ce: 0.2119, decode.acc_seg: 91.4134, loss: 0.2119 +2023-03-04 04:06:22,230 - mmseg - INFO - Iter [48950/160000] lr: 1.500e-04, eta: 6:37:00, time: 0.195, data_time: 0.008, memory: 59439, decode.loss_ce: 0.2030, decode.acc_seg: 91.7422, loss: 0.2030 +2023-03-04 04:06:31,754 - mmseg - INFO - Exp name: ablation_segformer_mit_b2_segformer_head_unet_fc_small_multi_step_ade_pretrained_freeze_embed_160k_ade20k151_finetune_ema_t20.py +2023-03-04 04:06:31,755 - mmseg - INFO - Iter [49000/160000] lr: 1.500e-04, eta: 6:36:47, time: 0.190, data_time: 0.008, memory: 59439, decode.loss_ce: 0.2072, decode.acc_seg: 91.2893, loss: 0.2072 +2023-03-04 04:06:41,248 - mmseg - INFO - Iter [49050/160000] lr: 1.500e-04, eta: 6:36:33, time: 0.190, data_time: 0.008, memory: 59439, decode.loss_ce: 0.1976, decode.acc_seg: 91.9439, loss: 0.1976 +2023-03-04 04:06:50,813 - mmseg - INFO - Iter [49100/160000] lr: 1.500e-04, eta: 6:36:20, time: 0.191, data_time: 0.008, memory: 59439, decode.loss_ce: 0.2068, decode.acc_seg: 91.7419, loss: 0.2068 +2023-03-04 04:07:00,359 - mmseg - INFO - Iter [49150/160000] lr: 1.500e-04, eta: 6:36:06, time: 0.191, data_time: 0.008, memory: 59439, decode.loss_ce: 0.1956, decode.acc_seg: 91.9226, loss: 0.1956 +2023-03-04 04:07:09,960 - mmseg - INFO - Iter [49200/160000] lr: 1.500e-04, eta: 6:35:53, time: 0.192, data_time: 0.008, memory: 59439, decode.loss_ce: 0.2100, decode.acc_seg: 91.3082, loss: 0.2100 +2023-03-04 04:07:21,958 - mmseg - INFO - Iter [49250/160000] lr: 1.500e-04, eta: 6:35:45, time: 0.240, data_time: 0.053, memory: 59439, decode.loss_ce: 0.2025, decode.acc_seg: 91.6572, loss: 0.2025 +2023-03-04 04:07:31,505 - mmseg - INFO - Iter [49300/160000] lr: 1.500e-04, eta: 6:35:32, time: 0.191, data_time: 0.008, memory: 59439, decode.loss_ce: 0.2057, decode.acc_seg: 91.6345, loss: 0.2057 +2023-03-04 04:07:41,030 - mmseg - INFO - Iter [49350/160000] lr: 1.500e-04, eta: 6:35:19, time: 0.190, data_time: 0.008, memory: 59439, decode.loss_ce: 0.2011, decode.acc_seg: 91.7511, loss: 0.2011 +2023-03-04 04:07:50,627 - mmseg - INFO - Iter [49400/160000] lr: 1.500e-04, eta: 6:35:05, time: 0.192, data_time: 0.008, memory: 59439, decode.loss_ce: 0.2038, decode.acc_seg: 91.5772, loss: 0.2038 +2023-03-04 04:08:00,229 - mmseg - INFO - Iter [49450/160000] lr: 1.500e-04, eta: 6:34:52, time: 0.192, data_time: 0.008, memory: 59439, decode.loss_ce: 0.2059, decode.acc_seg: 91.5051, loss: 0.2059 +2023-03-04 04:08:10,023 - mmseg - INFO - Iter [49500/160000] lr: 1.500e-04, eta: 6:34:39, time: 0.196, data_time: 0.008, memory: 59439, decode.loss_ce: 0.2063, decode.acc_seg: 91.6001, loss: 0.2063 +2023-03-04 04:08:19,710 - mmseg - INFO - Iter [49550/160000] lr: 1.500e-04, eta: 6:34:26, time: 0.194, data_time: 0.008, memory: 59439, decode.loss_ce: 0.2123, decode.acc_seg: 91.3127, loss: 0.2123 +2023-03-04 04:08:29,310 - mmseg - INFO - Iter [49600/160000] lr: 1.500e-04, eta: 6:34:13, time: 0.192, data_time: 0.008, memory: 59439, decode.loss_ce: 0.2107, decode.acc_seg: 91.5164, loss: 0.2107 +2023-03-04 04:08:39,090 - mmseg - INFO - Iter [49650/160000] lr: 1.500e-04, eta: 6:34:00, time: 0.196, data_time: 0.008, memory: 59439, decode.loss_ce: 0.2040, decode.acc_seg: 91.5571, loss: 0.2040 +2023-03-04 04:08:48,594 - mmseg - INFO - Iter [49700/160000] lr: 1.500e-04, eta: 6:33:47, time: 0.190, data_time: 0.008, memory: 59439, decode.loss_ce: 0.2055, decode.acc_seg: 91.6485, loss: 0.2055 +2023-03-04 04:08:58,139 - mmseg - INFO - Iter [49750/160000] lr: 1.500e-04, eta: 6:33:34, time: 0.191, data_time: 0.008, memory: 59439, decode.loss_ce: 0.2069, decode.acc_seg: 91.5543, loss: 0.2069 +2023-03-04 04:09:07,652 - mmseg - INFO - Iter [49800/160000] lr: 1.500e-04, eta: 6:33:20, time: 0.190, data_time: 0.008, memory: 59439, decode.loss_ce: 0.2058, decode.acc_seg: 91.5591, loss: 0.2058 +2023-03-04 04:09:19,837 - mmseg - INFO - Iter [49850/160000] lr: 1.500e-04, eta: 6:33:13, time: 0.244, data_time: 0.057, memory: 59439, decode.loss_ce: 0.2069, decode.acc_seg: 91.5558, loss: 0.2069 +2023-03-04 04:09:29,532 - mmseg - INFO - Iter [49900/160000] lr: 1.500e-04, eta: 6:33:00, time: 0.194, data_time: 0.008, memory: 59439, decode.loss_ce: 0.2047, decode.acc_seg: 91.5978, loss: 0.2047 +2023-03-04 04:09:39,319 - mmseg - INFO - Iter [49950/160000] lr: 1.500e-04, eta: 6:32:47, time: 0.196, data_time: 0.008, memory: 59439, decode.loss_ce: 0.2090, decode.acc_seg: 91.4630, loss: 0.2090 +2023-03-04 04:09:49,308 - mmseg - INFO - Exp name: ablation_segformer_mit_b2_segformer_head_unet_fc_small_multi_step_ade_pretrained_freeze_embed_160k_ade20k151_finetune_ema_t20.py +2023-03-04 04:09:49,308 - mmseg - INFO - Iter [50000/160000] lr: 1.500e-04, eta: 6:32:35, time: 0.200, data_time: 0.008, memory: 59439, decode.loss_ce: 0.2072, decode.acc_seg: 91.5506, loss: 0.2072 +2023-03-04 04:09:59,360 - mmseg - INFO - Iter [50050/160000] lr: 7.500e-05, eta: 6:32:23, time: 0.201, data_time: 0.008, memory: 59439, decode.loss_ce: 0.2037, decode.acc_seg: 91.7682, loss: 0.2037 +2023-03-04 04:10:09,119 - mmseg - INFO - Iter [50100/160000] lr: 7.500e-05, eta: 6:32:10, time: 0.195, data_time: 0.008, memory: 59439, decode.loss_ce: 0.1973, decode.acc_seg: 91.9141, loss: 0.1973 +2023-03-04 04:10:18,893 - mmseg - INFO - Iter [50150/160000] lr: 7.500e-05, eta: 6:31:57, time: 0.195, data_time: 0.008, memory: 59439, decode.loss_ce: 0.1965, decode.acc_seg: 92.0207, loss: 0.1965 +2023-03-04 04:10:28,905 - mmseg - INFO - Iter [50200/160000] lr: 7.500e-05, eta: 6:31:45, time: 0.201, data_time: 0.008, memory: 59439, decode.loss_ce: 0.1975, decode.acc_seg: 91.9416, loss: 0.1975 +2023-03-04 04:10:38,560 - mmseg - INFO - Iter [50250/160000] lr: 7.500e-05, eta: 6:31:32, time: 0.193, data_time: 0.008, memory: 59439, decode.loss_ce: 0.1931, decode.acc_seg: 91.9588, loss: 0.1931 +2023-03-04 04:10:48,183 - mmseg - INFO - Iter [50300/160000] lr: 7.500e-05, eta: 6:31:19, time: 0.192, data_time: 0.008, memory: 59439, decode.loss_ce: 0.2033, decode.acc_seg: 91.6781, loss: 0.2033 +2023-03-04 04:10:57,916 - mmseg - INFO - Iter [50350/160000] lr: 7.500e-05, eta: 6:31:06, time: 0.195, data_time: 0.008, memory: 59439, decode.loss_ce: 0.1988, decode.acc_seg: 91.7299, loss: 0.1988 +2023-03-04 04:11:07,574 - mmseg - INFO - Iter [50400/160000] lr: 7.500e-05, eta: 6:30:53, time: 0.193, data_time: 0.008, memory: 59439, decode.loss_ce: 0.1980, decode.acc_seg: 91.8423, loss: 0.1980 +2023-03-04 04:11:17,504 - mmseg - INFO - Iter [50450/160000] lr: 7.500e-05, eta: 6:30:41, time: 0.199, data_time: 0.008, memory: 59439, decode.loss_ce: 0.1944, decode.acc_seg: 92.1054, loss: 0.1944 +2023-03-04 04:11:29,644 - mmseg - INFO - Iter [50500/160000] lr: 7.500e-05, eta: 6:30:33, time: 0.243, data_time: 0.055, memory: 59439, decode.loss_ce: 0.1983, decode.acc_seg: 91.9370, loss: 0.1983 +2023-03-04 04:11:39,341 - mmseg - INFO - Iter [50550/160000] lr: 7.500e-05, eta: 6:30:20, time: 0.194, data_time: 0.008, memory: 59439, decode.loss_ce: 0.2037, decode.acc_seg: 91.9052, loss: 0.2037 +2023-03-04 04:11:49,123 - mmseg - INFO - Iter [50600/160000] lr: 7.500e-05, eta: 6:30:08, time: 0.196, data_time: 0.007, memory: 59439, decode.loss_ce: 0.1894, decode.acc_seg: 92.1060, loss: 0.1894 +2023-03-04 04:11:58,781 - mmseg - INFO - Iter [50650/160000] lr: 7.500e-05, eta: 6:29:55, time: 0.193, data_time: 0.007, memory: 59439, decode.loss_ce: 0.2004, decode.acc_seg: 91.9058, loss: 0.2004 +2023-03-04 04:12:08,309 - mmseg - INFO - Iter [50700/160000] lr: 7.500e-05, eta: 6:29:42, time: 0.191, data_time: 0.008, memory: 59439, decode.loss_ce: 0.1926, decode.acc_seg: 92.1593, loss: 0.1926 +2023-03-04 04:12:17,907 - mmseg - INFO - Iter [50750/160000] lr: 7.500e-05, eta: 6:29:28, time: 0.192, data_time: 0.008, memory: 59439, decode.loss_ce: 0.1918, decode.acc_seg: 92.0191, loss: 0.1918 +2023-03-04 04:12:27,424 - mmseg - INFO - Iter [50800/160000] lr: 7.500e-05, eta: 6:29:15, time: 0.190, data_time: 0.008, memory: 59439, decode.loss_ce: 0.2005, decode.acc_seg: 91.8448, loss: 0.2005 +2023-03-04 04:12:37,216 - mmseg - INFO - Iter [50850/160000] lr: 7.500e-05, eta: 6:29:03, time: 0.196, data_time: 0.008, memory: 59439, decode.loss_ce: 0.1999, decode.acc_seg: 91.8696, loss: 0.1999 +2023-03-04 04:12:46,727 - mmseg - INFO - Iter [50900/160000] lr: 7.500e-05, eta: 6:28:49, time: 0.190, data_time: 0.008, memory: 59439, decode.loss_ce: 0.1963, decode.acc_seg: 92.0033, loss: 0.1963 +2023-03-04 04:12:56,283 - mmseg - INFO - Iter [50950/160000] lr: 7.500e-05, eta: 6:28:36, time: 0.191, data_time: 0.007, memory: 59439, decode.loss_ce: 0.2019, decode.acc_seg: 91.7073, loss: 0.2019 +2023-03-04 04:13:06,029 - mmseg - INFO - Exp name: ablation_segformer_mit_b2_segformer_head_unet_fc_small_multi_step_ade_pretrained_freeze_embed_160k_ade20k151_finetune_ema_t20.py +2023-03-04 04:13:06,029 - mmseg - INFO - Iter [51000/160000] lr: 7.500e-05, eta: 6:28:24, time: 0.195, data_time: 0.008, memory: 59439, decode.loss_ce: 0.2063, decode.acc_seg: 91.7445, loss: 0.2063 +2023-03-04 04:13:15,759 - mmseg - INFO - Iter [51050/160000] lr: 7.500e-05, eta: 6:28:11, time: 0.195, data_time: 0.008, memory: 59439, decode.loss_ce: 0.2003, decode.acc_seg: 91.6558, loss: 0.2003 +2023-03-04 04:13:25,423 - mmseg - INFO - Iter [51100/160000] lr: 7.500e-05, eta: 6:27:58, time: 0.193, data_time: 0.007, memory: 59439, decode.loss_ce: 0.2100, decode.acc_seg: 91.4076, loss: 0.2100 +2023-03-04 04:13:37,460 - mmseg - INFO - Iter [51150/160000] lr: 7.500e-05, eta: 6:27:50, time: 0.241, data_time: 0.057, memory: 59439, decode.loss_ce: 0.2010, decode.acc_seg: 91.8750, loss: 0.2010 +2023-03-04 04:13:47,293 - mmseg - INFO - Iter [51200/160000] lr: 7.500e-05, eta: 6:27:38, time: 0.197, data_time: 0.007, memory: 59439, decode.loss_ce: 0.1989, decode.acc_seg: 91.9307, loss: 0.1989 +2023-03-04 04:13:57,756 - mmseg - INFO - Iter [51250/160000] lr: 7.500e-05, eta: 6:27:26, time: 0.209, data_time: 0.007, memory: 59439, decode.loss_ce: 0.1992, decode.acc_seg: 91.7956, loss: 0.1992 +2023-03-04 04:14:07,602 - mmseg - INFO - Iter [51300/160000] lr: 7.500e-05, eta: 6:27:14, time: 0.197, data_time: 0.007, memory: 59439, decode.loss_ce: 0.1943, decode.acc_seg: 92.0283, loss: 0.1943 +2023-03-04 04:14:17,289 - mmseg - INFO - Iter [51350/160000] lr: 7.500e-05, eta: 6:27:01, time: 0.194, data_time: 0.008, memory: 59439, decode.loss_ce: 0.1972, decode.acc_seg: 91.8677, loss: 0.1972 +2023-03-04 04:14:27,107 - mmseg - INFO - Iter [51400/160000] lr: 7.500e-05, eta: 6:26:49, time: 0.196, data_time: 0.007, memory: 59439, decode.loss_ce: 0.1990, decode.acc_seg: 91.8550, loss: 0.1990 +2023-03-04 04:14:36,702 - mmseg - INFO - Iter [51450/160000] lr: 7.500e-05, eta: 6:26:36, time: 0.192, data_time: 0.008, memory: 59439, decode.loss_ce: 0.1931, decode.acc_seg: 92.1382, loss: 0.1931 +2023-03-04 04:14:46,371 - mmseg - INFO - Iter [51500/160000] lr: 7.500e-05, eta: 6:26:23, time: 0.193, data_time: 0.007, memory: 59439, decode.loss_ce: 0.2011, decode.acc_seg: 91.8095, loss: 0.2011 +2023-03-04 04:14:56,284 - mmseg - INFO - Iter [51550/160000] lr: 7.500e-05, eta: 6:26:11, time: 0.198, data_time: 0.008, memory: 59439, decode.loss_ce: 0.1989, decode.acc_seg: 91.6826, loss: 0.1989 +2023-03-04 04:15:05,989 - mmseg - INFO - Iter [51600/160000] lr: 7.500e-05, eta: 6:25:58, time: 0.194, data_time: 0.008, memory: 59439, decode.loss_ce: 0.2002, decode.acc_seg: 91.6421, loss: 0.2002 +2023-03-04 04:15:15,487 - mmseg - INFO - Iter [51650/160000] lr: 7.500e-05, eta: 6:25:45, time: 0.190, data_time: 0.008, memory: 59439, decode.loss_ce: 0.1960, decode.acc_seg: 91.9660, loss: 0.1960 +2023-03-04 04:15:25,224 - mmseg - INFO - Iter [51700/160000] lr: 7.500e-05, eta: 6:25:32, time: 0.195, data_time: 0.008, memory: 59439, decode.loss_ce: 0.1904, decode.acc_seg: 92.0983, loss: 0.1904 +2023-03-04 04:15:37,433 - mmseg - INFO - Iter [51750/160000] lr: 7.500e-05, eta: 6:25:25, time: 0.244, data_time: 0.052, memory: 59439, decode.loss_ce: 0.1899, decode.acc_seg: 92.2376, loss: 0.1899 +2023-03-04 04:15:47,027 - mmseg - INFO - Iter [51800/160000] lr: 7.500e-05, eta: 6:25:12, time: 0.192, data_time: 0.007, memory: 59439, decode.loss_ce: 0.1933, decode.acc_seg: 91.9718, loss: 0.1933 +2023-03-04 04:15:57,038 - mmseg - INFO - Iter [51850/160000] lr: 7.500e-05, eta: 6:24:59, time: 0.200, data_time: 0.007, memory: 59439, decode.loss_ce: 0.1930, decode.acc_seg: 91.9579, loss: 0.1930 +2023-03-04 04:16:06,643 - mmseg - INFO - Iter [51900/160000] lr: 7.500e-05, eta: 6:24:47, time: 0.192, data_time: 0.008, memory: 59439, decode.loss_ce: 0.2016, decode.acc_seg: 91.8405, loss: 0.2016 +2023-03-04 04:16:16,986 - mmseg - INFO - Iter [51950/160000] lr: 7.500e-05, eta: 6:24:35, time: 0.207, data_time: 0.008, memory: 59439, decode.loss_ce: 0.1960, decode.acc_seg: 92.0116, loss: 0.1960 +2023-03-04 04:16:26,765 - mmseg - INFO - Exp name: ablation_segformer_mit_b2_segformer_head_unet_fc_small_multi_step_ade_pretrained_freeze_embed_160k_ade20k151_finetune_ema_t20.py +2023-03-04 04:16:26,766 - mmseg - INFO - Iter [52000/160000] lr: 7.500e-05, eta: 6:24:23, time: 0.196, data_time: 0.008, memory: 59439, decode.loss_ce: 0.2000, decode.acc_seg: 91.8556, loss: 0.2000 +2023-03-04 04:16:36,735 - mmseg - INFO - Iter [52050/160000] lr: 7.500e-05, eta: 6:24:11, time: 0.199, data_time: 0.008, memory: 59439, decode.loss_ce: 0.2000, decode.acc_seg: 91.6567, loss: 0.2000 +2023-03-04 04:16:46,609 - mmseg - INFO - Iter [52100/160000] lr: 7.500e-05, eta: 6:23:58, time: 0.197, data_time: 0.008, memory: 59439, decode.loss_ce: 0.1979, decode.acc_seg: 91.8310, loss: 0.1979 +2023-03-04 04:16:56,227 - mmseg - INFO - Iter [52150/160000] lr: 7.500e-05, eta: 6:23:45, time: 0.192, data_time: 0.008, memory: 59439, decode.loss_ce: 0.1944, decode.acc_seg: 92.0098, loss: 0.1944 +2023-03-04 04:17:05,756 - mmseg - INFO - Iter [52200/160000] lr: 7.500e-05, eta: 6:23:32, time: 0.191, data_time: 0.008, memory: 59439, decode.loss_ce: 0.1963, decode.acc_seg: 91.9573, loss: 0.1963 +2023-03-04 04:17:15,633 - mmseg - INFO - Iter [52250/160000] lr: 7.500e-05, eta: 6:23:20, time: 0.198, data_time: 0.007, memory: 59439, decode.loss_ce: 0.2010, decode.acc_seg: 91.7533, loss: 0.2010 +2023-03-04 04:17:25,294 - mmseg - INFO - Iter [52300/160000] lr: 7.500e-05, eta: 6:23:07, time: 0.193, data_time: 0.008, memory: 59439, decode.loss_ce: 0.2043, decode.acc_seg: 91.7792, loss: 0.2043 +2023-03-04 04:17:35,256 - mmseg - INFO - Iter [52350/160000] lr: 7.500e-05, eta: 6:22:55, time: 0.199, data_time: 0.008, memory: 59439, decode.loss_ce: 0.1941, decode.acc_seg: 92.0695, loss: 0.1941 +2023-03-04 04:17:47,629 - mmseg - INFO - Iter [52400/160000] lr: 7.500e-05, eta: 6:22:48, time: 0.247, data_time: 0.053, memory: 59439, decode.loss_ce: 0.1945, decode.acc_seg: 91.9447, loss: 0.1945 +2023-03-04 04:17:57,264 - mmseg - INFO - Iter [52450/160000] lr: 7.500e-05, eta: 6:22:35, time: 0.193, data_time: 0.008, memory: 59439, decode.loss_ce: 0.1914, decode.acc_seg: 92.2183, loss: 0.1914 +2023-03-04 04:18:06,852 - mmseg - INFO - Iter [52500/160000] lr: 7.500e-05, eta: 6:22:22, time: 0.192, data_time: 0.007, memory: 59439, decode.loss_ce: 0.1969, decode.acc_seg: 91.9234, loss: 0.1969 +2023-03-04 04:18:16,564 - mmseg - INFO - Iter [52550/160000] lr: 7.500e-05, eta: 6:22:10, time: 0.194, data_time: 0.008, memory: 59439, decode.loss_ce: 0.2080, decode.acc_seg: 91.5983, loss: 0.2080 +2023-03-04 04:18:26,160 - mmseg - INFO - Iter [52600/160000] lr: 7.500e-05, eta: 6:21:57, time: 0.192, data_time: 0.008, memory: 59439, decode.loss_ce: 0.1913, decode.acc_seg: 92.2486, loss: 0.1913 +2023-03-04 04:18:35,700 - mmseg - INFO - Iter [52650/160000] lr: 7.500e-05, eta: 6:21:44, time: 0.191, data_time: 0.008, memory: 59439, decode.loss_ce: 0.1960, decode.acc_seg: 92.0940, loss: 0.1960 +2023-03-04 04:18:45,624 - mmseg - INFO - Iter [52700/160000] lr: 7.500e-05, eta: 6:21:32, time: 0.199, data_time: 0.008, memory: 59439, decode.loss_ce: 0.1941, decode.acc_seg: 92.0465, loss: 0.1941 +2023-03-04 04:18:55,166 - mmseg - INFO - Iter [52750/160000] lr: 7.500e-05, eta: 6:21:19, time: 0.191, data_time: 0.008, memory: 59439, decode.loss_ce: 0.1919, decode.acc_seg: 92.0430, loss: 0.1919 +2023-03-04 04:19:04,866 - mmseg - INFO - Iter [52800/160000] lr: 7.500e-05, eta: 6:21:06, time: 0.194, data_time: 0.007, memory: 59439, decode.loss_ce: 0.1952, decode.acc_seg: 91.9835, loss: 0.1952 +2023-03-04 04:19:14,457 - mmseg - INFO - Iter [52850/160000] lr: 7.500e-05, eta: 6:20:53, time: 0.192, data_time: 0.008, memory: 59439, decode.loss_ce: 0.1999, decode.acc_seg: 91.8594, loss: 0.1999 +2023-03-04 04:19:24,223 - mmseg - INFO - Iter [52900/160000] lr: 7.500e-05, eta: 6:20:41, time: 0.195, data_time: 0.008, memory: 59439, decode.loss_ce: 0.1897, decode.acc_seg: 92.1636, loss: 0.1897 +2023-03-04 04:19:33,931 - mmseg - INFO - Iter [52950/160000] lr: 7.500e-05, eta: 6:20:28, time: 0.194, data_time: 0.008, memory: 59439, decode.loss_ce: 0.2080, decode.acc_seg: 91.5525, loss: 0.2080 +2023-03-04 04:19:43,660 - mmseg - INFO - Exp name: ablation_segformer_mit_b2_segformer_head_unet_fc_small_multi_step_ade_pretrained_freeze_embed_160k_ade20k151_finetune_ema_t20.py +2023-03-04 04:19:43,660 - mmseg - INFO - Iter [53000/160000] lr: 7.500e-05, eta: 6:20:15, time: 0.195, data_time: 0.007, memory: 59439, decode.loss_ce: 0.1941, decode.acc_seg: 91.9076, loss: 0.1941 +2023-03-04 04:19:55,982 - mmseg - INFO - Iter [53050/160000] lr: 7.500e-05, eta: 6:20:08, time: 0.246, data_time: 0.055, memory: 59439, decode.loss_ce: 0.1999, decode.acc_seg: 91.8027, loss: 0.1999 +2023-03-04 04:20:06,036 - mmseg - INFO - Iter [53100/160000] lr: 7.500e-05, eta: 6:19:56, time: 0.201, data_time: 0.007, memory: 59439, decode.loss_ce: 0.1986, decode.acc_seg: 91.9048, loss: 0.1986 +2023-03-04 04:20:15,627 - mmseg - INFO - Iter [53150/160000] lr: 7.500e-05, eta: 6:19:43, time: 0.192, data_time: 0.008, memory: 59439, decode.loss_ce: 0.2038, decode.acc_seg: 91.7019, loss: 0.2038 +2023-03-04 04:20:25,336 - mmseg - INFO - Iter [53200/160000] lr: 7.500e-05, eta: 6:19:31, time: 0.194, data_time: 0.007, memory: 59439, decode.loss_ce: 0.1930, decode.acc_seg: 92.2080, loss: 0.1930 +2023-03-04 04:20:35,155 - mmseg - INFO - Iter [53250/160000] lr: 7.500e-05, eta: 6:19:19, time: 0.196, data_time: 0.007, memory: 59439, decode.loss_ce: 0.1961, decode.acc_seg: 91.9485, loss: 0.1961 +2023-03-04 04:20:44,620 - mmseg - INFO - Iter [53300/160000] lr: 7.500e-05, eta: 6:19:05, time: 0.189, data_time: 0.008, memory: 59439, decode.loss_ce: 0.1927, decode.acc_seg: 92.0188, loss: 0.1927 +2023-03-04 04:20:54,177 - mmseg - INFO - Iter [53350/160000] lr: 7.500e-05, eta: 6:18:53, time: 0.191, data_time: 0.008, memory: 59439, decode.loss_ce: 0.1982, decode.acc_seg: 91.8395, loss: 0.1982 +2023-03-04 04:21:03,762 - mmseg - INFO - Iter [53400/160000] lr: 7.500e-05, eta: 6:18:40, time: 0.192, data_time: 0.008, memory: 59439, decode.loss_ce: 0.2011, decode.acc_seg: 91.7923, loss: 0.2011 +2023-03-04 04:21:13,335 - mmseg - INFO - Iter [53450/160000] lr: 7.500e-05, eta: 6:18:27, time: 0.191, data_time: 0.008, memory: 59439, decode.loss_ce: 0.2028, decode.acc_seg: 91.7268, loss: 0.2028 +2023-03-04 04:21:23,085 - mmseg - INFO - Iter [53500/160000] lr: 7.500e-05, eta: 6:18:15, time: 0.195, data_time: 0.008, memory: 59439, decode.loss_ce: 0.1959, decode.acc_seg: 92.0921, loss: 0.1959 +2023-03-04 04:21:32,698 - mmseg - INFO - Iter [53550/160000] lr: 7.500e-05, eta: 6:18:02, time: 0.192, data_time: 0.007, memory: 59439, decode.loss_ce: 0.1983, decode.acc_seg: 92.0221, loss: 0.1983 +2023-03-04 04:21:42,464 - mmseg - INFO - Iter [53600/160000] lr: 7.500e-05, eta: 6:17:49, time: 0.196, data_time: 0.008, memory: 59439, decode.loss_ce: 0.1904, decode.acc_seg: 92.2363, loss: 0.1904 +2023-03-04 04:21:54,419 - mmseg - INFO - Iter [53650/160000] lr: 7.500e-05, eta: 6:17:41, time: 0.239, data_time: 0.053, memory: 59439, decode.loss_ce: 0.1963, decode.acc_seg: 92.0243, loss: 0.1963 +2023-03-04 04:22:04,492 - mmseg - INFO - Iter [53700/160000] lr: 7.500e-05, eta: 6:17:30, time: 0.201, data_time: 0.007, memory: 59439, decode.loss_ce: 0.1894, decode.acc_seg: 92.2333, loss: 0.1894 +2023-03-04 04:22:14,426 - mmseg - INFO - Iter [53750/160000] lr: 7.500e-05, eta: 6:17:17, time: 0.199, data_time: 0.007, memory: 59439, decode.loss_ce: 0.1920, decode.acc_seg: 92.0658, loss: 0.1920 +2023-03-04 04:22:23,896 - mmseg - INFO - Iter [53800/160000] lr: 7.500e-05, eta: 6:17:04, time: 0.189, data_time: 0.008, memory: 59439, decode.loss_ce: 0.2046, decode.acc_seg: 91.6719, loss: 0.2046 +2023-03-04 04:22:33,429 - mmseg - INFO - Iter [53850/160000] lr: 7.500e-05, eta: 6:16:52, time: 0.191, data_time: 0.008, memory: 59439, decode.loss_ce: 0.1941, decode.acc_seg: 91.9631, loss: 0.1941 +2023-03-04 04:22:43,325 - mmseg - INFO - Iter [53900/160000] lr: 7.500e-05, eta: 6:16:39, time: 0.198, data_time: 0.007, memory: 59439, decode.loss_ce: 0.1994, decode.acc_seg: 91.7934, loss: 0.1994 +2023-03-04 04:22:52,832 - mmseg - INFO - Iter [53950/160000] lr: 7.500e-05, eta: 6:16:27, time: 0.190, data_time: 0.008, memory: 59439, decode.loss_ce: 0.2066, decode.acc_seg: 91.5578, loss: 0.2066 +2023-03-04 04:23:02,522 - mmseg - INFO - Exp name: ablation_segformer_mit_b2_segformer_head_unet_fc_small_multi_step_ade_pretrained_freeze_embed_160k_ade20k151_finetune_ema_t20.py +2023-03-04 04:23:02,522 - mmseg - INFO - Iter [54000/160000] lr: 7.500e-05, eta: 6:16:14, time: 0.194, data_time: 0.008, memory: 59439, decode.loss_ce: 0.2039, decode.acc_seg: 91.6959, loss: 0.2039 +2023-03-04 04:23:12,082 - mmseg - INFO - Iter [54050/160000] lr: 7.500e-05, eta: 6:16:01, time: 0.191, data_time: 0.008, memory: 59439, decode.loss_ce: 0.1939, decode.acc_seg: 91.9661, loss: 0.1939 +2023-03-04 04:23:21,832 - mmseg - INFO - Iter [54100/160000] lr: 7.500e-05, eta: 6:15:49, time: 0.195, data_time: 0.008, memory: 59439, decode.loss_ce: 0.1985, decode.acc_seg: 91.9493, loss: 0.1985 +2023-03-04 04:23:31,515 - mmseg - INFO - Iter [54150/160000] lr: 7.500e-05, eta: 6:15:36, time: 0.194, data_time: 0.008, memory: 59439, decode.loss_ce: 0.1908, decode.acc_seg: 92.1665, loss: 0.1908 +2023-03-04 04:23:41,117 - mmseg - INFO - Iter [54200/160000] lr: 7.500e-05, eta: 6:15:24, time: 0.192, data_time: 0.007, memory: 59439, decode.loss_ce: 0.1973, decode.acc_seg: 91.9089, loss: 0.1973 +2023-03-04 04:23:50,996 - mmseg - INFO - Iter [54250/160000] lr: 7.500e-05, eta: 6:15:11, time: 0.198, data_time: 0.007, memory: 59439, decode.loss_ce: 0.1956, decode.acc_seg: 92.0647, loss: 0.1956 +2023-03-04 04:24:03,258 - mmseg - INFO - Iter [54300/160000] lr: 7.500e-05, eta: 6:15:04, time: 0.245, data_time: 0.053, memory: 59439, decode.loss_ce: 0.1983, decode.acc_seg: 92.0833, loss: 0.1983 +2023-03-04 04:24:12,830 - mmseg - INFO - Iter [54350/160000] lr: 7.500e-05, eta: 6:14:51, time: 0.191, data_time: 0.008, memory: 59439, decode.loss_ce: 0.1934, decode.acc_seg: 92.1190, loss: 0.1934 +2023-03-04 04:24:22,443 - mmseg - INFO - Iter [54400/160000] lr: 7.500e-05, eta: 6:14:39, time: 0.192, data_time: 0.008, memory: 59439, decode.loss_ce: 0.1955, decode.acc_seg: 91.9847, loss: 0.1955 +2023-03-04 04:24:32,209 - mmseg - INFO - Iter [54450/160000] lr: 7.500e-05, eta: 6:14:26, time: 0.195, data_time: 0.008, memory: 59439, decode.loss_ce: 0.1995, decode.acc_seg: 91.7514, loss: 0.1995 +2023-03-04 04:24:41,859 - mmseg - INFO - Iter [54500/160000] lr: 7.500e-05, eta: 6:14:14, time: 0.193, data_time: 0.007, memory: 59439, decode.loss_ce: 0.1899, decode.acc_seg: 92.1760, loss: 0.1899 +2023-03-04 04:24:51,551 - mmseg - INFO - Iter [54550/160000] lr: 7.500e-05, eta: 6:14:01, time: 0.194, data_time: 0.008, memory: 59439, decode.loss_ce: 0.1944, decode.acc_seg: 91.9457, loss: 0.1944 +2023-03-04 04:25:01,198 - mmseg - INFO - Iter [54600/160000] lr: 7.500e-05, eta: 6:13:49, time: 0.193, data_time: 0.008, memory: 59439, decode.loss_ce: 0.2082, decode.acc_seg: 91.5854, loss: 0.2082 +2023-03-04 04:25:11,644 - mmseg - INFO - Iter [54650/160000] lr: 7.500e-05, eta: 6:13:38, time: 0.209, data_time: 0.008, memory: 59439, decode.loss_ce: 0.1964, decode.acc_seg: 92.0158, loss: 0.1964 +2023-03-04 04:25:21,399 - mmseg - INFO - Iter [54700/160000] lr: 7.500e-05, eta: 6:13:25, time: 0.195, data_time: 0.008, memory: 59439, decode.loss_ce: 0.1923, decode.acc_seg: 92.1900, loss: 0.1923 +2023-03-04 04:25:31,487 - mmseg - INFO - Iter [54750/160000] lr: 7.500e-05, eta: 6:13:14, time: 0.202, data_time: 0.008, memory: 59439, decode.loss_ce: 0.2027, decode.acc_seg: 91.7889, loss: 0.2027 +2023-03-04 04:25:41,104 - mmseg - INFO - Iter [54800/160000] lr: 7.500e-05, eta: 6:13:01, time: 0.192, data_time: 0.008, memory: 59439, decode.loss_ce: 0.1981, decode.acc_seg: 91.9852, loss: 0.1981 +2023-03-04 04:25:50,907 - mmseg - INFO - Iter [54850/160000] lr: 7.500e-05, eta: 6:12:49, time: 0.196, data_time: 0.008, memory: 59439, decode.loss_ce: 0.1974, decode.acc_seg: 92.0590, loss: 0.1974 +2023-03-04 04:26:03,317 - mmseg - INFO - Iter [54900/160000] lr: 7.500e-05, eta: 6:12:42, time: 0.248, data_time: 0.055, memory: 59439, decode.loss_ce: 0.1994, decode.acc_seg: 91.9046, loss: 0.1994 +2023-03-04 04:26:12,899 - mmseg - INFO - Iter [54950/160000] lr: 7.500e-05, eta: 6:12:29, time: 0.192, data_time: 0.008, memory: 59439, decode.loss_ce: 0.2045, decode.acc_seg: 91.6915, loss: 0.2045 +2023-03-04 04:26:22,852 - mmseg - INFO - Exp name: ablation_segformer_mit_b2_segformer_head_unet_fc_small_multi_step_ade_pretrained_freeze_embed_160k_ade20k151_finetune_ema_t20.py +2023-03-04 04:26:22,852 - mmseg - INFO - Iter [55000/160000] lr: 7.500e-05, eta: 6:12:17, time: 0.199, data_time: 0.008, memory: 59439, decode.loss_ce: 0.1929, decode.acc_seg: 92.1391, loss: 0.1929 +2023-03-04 04:26:32,629 - mmseg - INFO - Iter [55050/160000] lr: 7.500e-05, eta: 6:12:05, time: 0.196, data_time: 0.008, memory: 59439, decode.loss_ce: 0.1983, decode.acc_seg: 91.7729, loss: 0.1983 +2023-03-04 04:26:42,236 - mmseg - INFO - Iter [55100/160000] lr: 7.500e-05, eta: 6:11:52, time: 0.192, data_time: 0.007, memory: 59439, decode.loss_ce: 0.2021, decode.acc_seg: 91.8370, loss: 0.2021 +2023-03-04 04:26:52,333 - mmseg - INFO - Iter [55150/160000] lr: 7.500e-05, eta: 6:11:40, time: 0.202, data_time: 0.008, memory: 59439, decode.loss_ce: 0.2008, decode.acc_seg: 91.7475, loss: 0.2008 +2023-03-04 04:27:01,806 - mmseg - INFO - Iter [55200/160000] lr: 7.500e-05, eta: 6:11:28, time: 0.189, data_time: 0.008, memory: 59439, decode.loss_ce: 0.1878, decode.acc_seg: 92.2611, loss: 0.1878 +2023-03-04 04:27:11,610 - mmseg - INFO - Iter [55250/160000] lr: 7.500e-05, eta: 6:11:15, time: 0.196, data_time: 0.008, memory: 59439, decode.loss_ce: 0.2076, decode.acc_seg: 91.7083, loss: 0.2076 +2023-03-04 04:27:21,546 - mmseg - INFO - Iter [55300/160000] lr: 7.500e-05, eta: 6:11:03, time: 0.199, data_time: 0.008, memory: 59439, decode.loss_ce: 0.2040, decode.acc_seg: 91.6829, loss: 0.2040 +2023-03-04 04:27:31,020 - mmseg - INFO - Iter [55350/160000] lr: 7.500e-05, eta: 6:10:51, time: 0.189, data_time: 0.007, memory: 59439, decode.loss_ce: 0.2004, decode.acc_seg: 91.7923, loss: 0.2004 +2023-03-04 04:27:40,960 - mmseg - INFO - Iter [55400/160000] lr: 7.500e-05, eta: 6:10:39, time: 0.199, data_time: 0.007, memory: 59439, decode.loss_ce: 0.1980, decode.acc_seg: 91.9735, loss: 0.1980 +2023-03-04 04:27:50,618 - mmseg - INFO - Iter [55450/160000] lr: 7.500e-05, eta: 6:10:26, time: 0.193, data_time: 0.008, memory: 59439, decode.loss_ce: 0.1995, decode.acc_seg: 91.9686, loss: 0.1995 +2023-03-04 04:28:00,192 - mmseg - INFO - Iter [55500/160000] lr: 7.500e-05, eta: 6:10:14, time: 0.191, data_time: 0.008, memory: 59439, decode.loss_ce: 0.1959, decode.acc_seg: 91.8867, loss: 0.1959 +2023-03-04 04:28:12,392 - mmseg - INFO - Iter [55550/160000] lr: 7.500e-05, eta: 6:10:06, time: 0.244, data_time: 0.054, memory: 59439, decode.loss_ce: 0.2023, decode.acc_seg: 91.8347, loss: 0.2023 +2023-03-04 04:28:21,893 - mmseg - INFO - Iter [55600/160000] lr: 7.500e-05, eta: 6:09:53, time: 0.190, data_time: 0.008, memory: 59439, decode.loss_ce: 0.1961, decode.acc_seg: 92.0195, loss: 0.1961 +2023-03-04 04:28:31,575 - mmseg - INFO - Iter [55650/160000] lr: 7.500e-05, eta: 6:09:41, time: 0.194, data_time: 0.008, memory: 59439, decode.loss_ce: 0.2076, decode.acc_seg: 91.3710, loss: 0.2076 +2023-03-04 04:28:41,365 - mmseg - INFO - Iter [55700/160000] lr: 7.500e-05, eta: 6:09:28, time: 0.195, data_time: 0.008, memory: 59439, decode.loss_ce: 0.2028, decode.acc_seg: 91.6235, loss: 0.2028 +2023-03-04 04:28:51,787 - mmseg - INFO - Iter [55750/160000] lr: 7.500e-05, eta: 6:09:17, time: 0.209, data_time: 0.008, memory: 59439, decode.loss_ce: 0.1907, decode.acc_seg: 92.2062, loss: 0.1907 +2023-03-04 04:29:01,443 - mmseg - INFO - Iter [55800/160000] lr: 7.500e-05, eta: 6:09:05, time: 0.193, data_time: 0.008, memory: 59439, decode.loss_ce: 0.1933, decode.acc_seg: 92.0292, loss: 0.1933 +2023-03-04 04:29:11,030 - mmseg - INFO - Iter [55850/160000] lr: 7.500e-05, eta: 6:08:52, time: 0.192, data_time: 0.007, memory: 59439, decode.loss_ce: 0.1937, decode.acc_seg: 92.0639, loss: 0.1937 +2023-03-04 04:29:20,653 - mmseg - INFO - Iter [55900/160000] lr: 7.500e-05, eta: 6:08:40, time: 0.192, data_time: 0.008, memory: 59439, decode.loss_ce: 0.1983, decode.acc_seg: 91.9055, loss: 0.1983 +2023-03-04 04:29:30,392 - mmseg - INFO - Iter [55950/160000] lr: 7.500e-05, eta: 6:08:28, time: 0.195, data_time: 0.008, memory: 59439, decode.loss_ce: 0.1933, decode.acc_seg: 92.0055, loss: 0.1933 +2023-03-04 04:29:40,078 - mmseg - INFO - Exp name: ablation_segformer_mit_b2_segformer_head_unet_fc_small_multi_step_ade_pretrained_freeze_embed_160k_ade20k151_finetune_ema_t20.py +2023-03-04 04:29:40,078 - mmseg - INFO - Iter [56000/160000] lr: 7.500e-05, eta: 6:08:15, time: 0.194, data_time: 0.008, memory: 59439, decode.loss_ce: 0.1991, decode.acc_seg: 91.9576, loss: 0.1991 +2023-03-04 04:29:50,013 - mmseg - INFO - Iter [56050/160000] lr: 7.500e-05, eta: 6:08:03, time: 0.199, data_time: 0.007, memory: 59439, decode.loss_ce: 0.2056, decode.acc_seg: 91.6482, loss: 0.2056 +2023-03-04 04:29:59,795 - mmseg - INFO - Iter [56100/160000] lr: 7.500e-05, eta: 6:07:51, time: 0.195, data_time: 0.008, memory: 59439, decode.loss_ce: 0.1948, decode.acc_seg: 92.0309, loss: 0.1948 +2023-03-04 04:30:09,498 - mmseg - INFO - Iter [56150/160000] lr: 7.500e-05, eta: 6:07:39, time: 0.194, data_time: 0.008, memory: 59439, decode.loss_ce: 0.1948, decode.acc_seg: 91.9591, loss: 0.1948 +2023-03-04 04:30:21,595 - mmseg - INFO - Iter [56200/160000] lr: 7.500e-05, eta: 6:07:31, time: 0.242, data_time: 0.055, memory: 59439, decode.loss_ce: 0.1978, decode.acc_seg: 91.9739, loss: 0.1978 +2023-03-04 04:30:31,406 - mmseg - INFO - Iter [56250/160000] lr: 7.500e-05, eta: 6:07:19, time: 0.196, data_time: 0.008, memory: 59439, decode.loss_ce: 0.1975, decode.acc_seg: 91.9743, loss: 0.1975 +2023-03-04 04:30:40,979 - mmseg - INFO - Iter [56300/160000] lr: 7.500e-05, eta: 6:07:06, time: 0.191, data_time: 0.008, memory: 59439, decode.loss_ce: 0.1927, decode.acc_seg: 92.1072, loss: 0.1927 +2023-03-04 04:30:50,750 - mmseg - INFO - Iter [56350/160000] lr: 7.500e-05, eta: 6:06:54, time: 0.195, data_time: 0.008, memory: 59439, decode.loss_ce: 0.1928, decode.acc_seg: 92.1862, loss: 0.1928 +2023-03-04 04:31:00,363 - mmseg - INFO - Iter [56400/160000] lr: 7.500e-05, eta: 6:06:42, time: 0.192, data_time: 0.008, memory: 59439, decode.loss_ce: 0.1981, decode.acc_seg: 91.8180, loss: 0.1981 +2023-03-04 04:31:09,976 - mmseg - INFO - Iter [56450/160000] lr: 7.500e-05, eta: 6:06:29, time: 0.192, data_time: 0.008, memory: 59439, decode.loss_ce: 0.1926, decode.acc_seg: 92.1436, loss: 0.1926 +2023-03-04 04:31:19,534 - mmseg - INFO - Iter [56500/160000] lr: 7.500e-05, eta: 6:06:17, time: 0.191, data_time: 0.008, memory: 59439, decode.loss_ce: 0.1987, decode.acc_seg: 91.7795, loss: 0.1987 +2023-03-04 04:31:29,330 - mmseg - INFO - Iter [56550/160000] lr: 7.500e-05, eta: 6:06:05, time: 0.196, data_time: 0.008, memory: 59439, decode.loss_ce: 0.1987, decode.acc_seg: 91.6587, loss: 0.1987 +2023-03-04 04:31:38,948 - mmseg - INFO - Iter [56600/160000] lr: 7.500e-05, eta: 6:05:52, time: 0.192, data_time: 0.008, memory: 59439, decode.loss_ce: 0.1963, decode.acc_seg: 92.0062, loss: 0.1963 +2023-03-04 04:31:48,436 - mmseg - INFO - Iter [56650/160000] lr: 7.500e-05, eta: 6:05:39, time: 0.190, data_time: 0.008, memory: 59439, decode.loss_ce: 0.1938, decode.acc_seg: 91.9845, loss: 0.1938 +2023-03-04 04:31:58,084 - mmseg - INFO - Iter [56700/160000] lr: 7.500e-05, eta: 6:05:27, time: 0.193, data_time: 0.008, memory: 59439, decode.loss_ce: 0.1991, decode.acc_seg: 91.9166, loss: 0.1991 +2023-03-04 04:32:07,991 - mmseg - INFO - Iter [56750/160000] lr: 7.500e-05, eta: 6:05:15, time: 0.198, data_time: 0.008, memory: 59439, decode.loss_ce: 0.1973, decode.acc_seg: 91.9674, loss: 0.1973 +2023-03-04 04:32:20,191 - mmseg - INFO - Iter [56800/160000] lr: 7.500e-05, eta: 6:05:07, time: 0.244, data_time: 0.058, memory: 59439, decode.loss_ce: 0.1973, decode.acc_seg: 92.0393, loss: 0.1973 +2023-03-04 04:32:29,980 - mmseg - INFO - Iter [56850/160000] lr: 7.500e-05, eta: 6:04:55, time: 0.196, data_time: 0.007, memory: 59439, decode.loss_ce: 0.1901, decode.acc_seg: 92.2258, loss: 0.1901 +2023-03-04 04:32:39,490 - mmseg - INFO - Iter [56900/160000] lr: 7.500e-05, eta: 6:04:43, time: 0.190, data_time: 0.008, memory: 59439, decode.loss_ce: 0.1969, decode.acc_seg: 91.9301, loss: 0.1969 +2023-03-04 04:32:49,239 - mmseg - INFO - Iter [56950/160000] lr: 7.500e-05, eta: 6:04:31, time: 0.195, data_time: 0.008, memory: 59439, decode.loss_ce: 0.1924, decode.acc_seg: 92.1983, loss: 0.1924 +2023-03-04 04:32:59,011 - mmseg - INFO - Exp name: ablation_segformer_mit_b2_segformer_head_unet_fc_small_multi_step_ade_pretrained_freeze_embed_160k_ade20k151_finetune_ema_t20.py +2023-03-04 04:32:59,012 - mmseg - INFO - Iter [57000/160000] lr: 7.500e-05, eta: 6:04:18, time: 0.195, data_time: 0.008, memory: 59439, decode.loss_ce: 0.1993, decode.acc_seg: 91.9909, loss: 0.1993 +2023-03-04 04:33:08,694 - mmseg - INFO - Iter [57050/160000] lr: 7.500e-05, eta: 6:04:06, time: 0.194, data_time: 0.008, memory: 59439, decode.loss_ce: 0.1975, decode.acc_seg: 91.8577, loss: 0.1975 +2023-03-04 04:33:18,385 - mmseg - INFO - Iter [57100/160000] lr: 7.500e-05, eta: 6:03:54, time: 0.194, data_time: 0.008, memory: 59439, decode.loss_ce: 0.2006, decode.acc_seg: 91.8570, loss: 0.2006 +2023-03-04 04:33:28,056 - mmseg - INFO - Iter [57150/160000] lr: 7.500e-05, eta: 6:03:42, time: 0.193, data_time: 0.008, memory: 59439, decode.loss_ce: 0.1933, decode.acc_seg: 91.9987, loss: 0.1933 +2023-03-04 04:33:37,694 - mmseg - INFO - Iter [57200/160000] lr: 7.500e-05, eta: 6:03:29, time: 0.193, data_time: 0.007, memory: 59439, decode.loss_ce: 0.1970, decode.acc_seg: 92.0274, loss: 0.1970 +2023-03-04 04:33:47,416 - mmseg - INFO - Iter [57250/160000] lr: 7.500e-05, eta: 6:03:17, time: 0.194, data_time: 0.008, memory: 59439, decode.loss_ce: 0.1981, decode.acc_seg: 92.1169, loss: 0.1981 +2023-03-04 04:33:57,258 - mmseg - INFO - Iter [57300/160000] lr: 7.500e-05, eta: 6:03:05, time: 0.197, data_time: 0.008, memory: 59439, decode.loss_ce: 0.1958, decode.acc_seg: 91.9836, loss: 0.1958 +2023-03-04 04:34:06,868 - mmseg - INFO - Iter [57350/160000] lr: 7.500e-05, eta: 6:02:53, time: 0.192, data_time: 0.008, memory: 59439, decode.loss_ce: 0.1901, decode.acc_seg: 92.1740, loss: 0.1901 +2023-03-04 04:34:16,676 - mmseg - INFO - Iter [57400/160000] lr: 7.500e-05, eta: 6:02:41, time: 0.196, data_time: 0.008, memory: 59439, decode.loss_ce: 0.2000, decode.acc_seg: 91.7186, loss: 0.2000 +2023-03-04 04:34:28,906 - mmseg - INFO - Iter [57450/160000] lr: 7.500e-05, eta: 6:02:33, time: 0.245, data_time: 0.054, memory: 59439, decode.loss_ce: 0.1973, decode.acc_seg: 91.8861, loss: 0.1973 +2023-03-04 04:34:38,393 - mmseg - INFO - Iter [57500/160000] lr: 7.500e-05, eta: 6:02:20, time: 0.190, data_time: 0.008, memory: 59439, decode.loss_ce: 0.1981, decode.acc_seg: 92.0096, loss: 0.1981 +2023-03-04 04:34:48,250 - mmseg - INFO - Iter [57550/160000] lr: 7.500e-05, eta: 6:02:08, time: 0.197, data_time: 0.008, memory: 59439, decode.loss_ce: 0.1969, decode.acc_seg: 91.9971, loss: 0.1969 +2023-03-04 04:34:57,787 - mmseg - INFO - Iter [57600/160000] lr: 7.500e-05, eta: 6:01:56, time: 0.191, data_time: 0.007, memory: 59439, decode.loss_ce: 0.1944, decode.acc_seg: 92.1270, loss: 0.1944 +2023-03-04 04:35:07,559 - mmseg - INFO - Iter [57650/160000] lr: 7.500e-05, eta: 6:01:44, time: 0.195, data_time: 0.008, memory: 59439, decode.loss_ce: 0.1908, decode.acc_seg: 92.0734, loss: 0.1908 +2023-03-04 04:35:17,209 - mmseg - INFO - Iter [57700/160000] lr: 7.500e-05, eta: 6:01:32, time: 0.193, data_time: 0.008, memory: 59439, decode.loss_ce: 0.2038, decode.acc_seg: 91.8368, loss: 0.2038 +2023-03-04 04:35:26,793 - mmseg - INFO - Iter [57750/160000] lr: 7.500e-05, eta: 6:01:19, time: 0.192, data_time: 0.008, memory: 59439, decode.loss_ce: 0.1927, decode.acc_seg: 92.0306, loss: 0.1927 +2023-03-04 04:35:36,598 - mmseg - INFO - Iter [57800/160000] lr: 7.500e-05, eta: 6:01:07, time: 0.196, data_time: 0.008, memory: 59439, decode.loss_ce: 0.1943, decode.acc_seg: 92.0788, loss: 0.1943 +2023-03-04 04:35:46,296 - mmseg - INFO - Iter [57850/160000] lr: 7.500e-05, eta: 6:00:55, time: 0.194, data_time: 0.008, memory: 59439, decode.loss_ce: 0.1925, decode.acc_seg: 91.9996, loss: 0.1925 +2023-03-04 04:35:56,359 - mmseg - INFO - Iter [57900/160000] lr: 7.500e-05, eta: 6:00:43, time: 0.201, data_time: 0.008, memory: 59439, decode.loss_ce: 0.2030, decode.acc_seg: 91.7266, loss: 0.2030 +2023-03-04 04:36:05,988 - mmseg - INFO - Iter [57950/160000] lr: 7.500e-05, eta: 6:00:31, time: 0.193, data_time: 0.007, memory: 59439, decode.loss_ce: 0.1926, decode.acc_seg: 92.0388, loss: 0.1926 +2023-03-04 04:36:15,557 - mmseg - INFO - Exp name: ablation_segformer_mit_b2_segformer_head_unet_fc_small_multi_step_ade_pretrained_freeze_embed_160k_ade20k151_finetune_ema_t20.py +2023-03-04 04:36:15,557 - mmseg - INFO - Iter [58000/160000] lr: 7.500e-05, eta: 6:00:19, time: 0.191, data_time: 0.008, memory: 59439, decode.loss_ce: 0.1941, decode.acc_seg: 92.0288, loss: 0.1941 +2023-03-04 04:36:25,244 - mmseg - INFO - Iter [58050/160000] lr: 7.500e-05, eta: 6:00:06, time: 0.194, data_time: 0.008, memory: 59439, decode.loss_ce: 0.2006, decode.acc_seg: 91.8092, loss: 0.2006 +2023-03-04 04:36:37,462 - mmseg - INFO - Iter [58100/160000] lr: 7.500e-05, eta: 5:59:59, time: 0.244, data_time: 0.054, memory: 59439, decode.loss_ce: 0.1888, decode.acc_seg: 92.2749, loss: 0.1888 +2023-03-04 04:36:47,503 - mmseg - INFO - Iter [58150/160000] lr: 7.500e-05, eta: 5:59:47, time: 0.201, data_time: 0.007, memory: 59439, decode.loss_ce: 0.1979, decode.acc_seg: 91.9133, loss: 0.1979 +2023-03-04 04:36:57,537 - mmseg - INFO - Iter [58200/160000] lr: 7.500e-05, eta: 5:59:36, time: 0.201, data_time: 0.007, memory: 59439, decode.loss_ce: 0.1987, decode.acc_seg: 91.7859, loss: 0.1987 +2023-03-04 04:37:07,167 - mmseg - INFO - Iter [58250/160000] lr: 7.500e-05, eta: 5:59:23, time: 0.192, data_time: 0.008, memory: 59439, decode.loss_ce: 0.1998, decode.acc_seg: 91.7889, loss: 0.1998 +2023-03-04 04:37:16,811 - mmseg - INFO - Iter [58300/160000] lr: 7.500e-05, eta: 5:59:11, time: 0.193, data_time: 0.008, memory: 59439, decode.loss_ce: 0.1983, decode.acc_seg: 91.8986, loss: 0.1983 +2023-03-04 04:37:26,339 - mmseg - INFO - Iter [58350/160000] lr: 7.500e-05, eta: 5:58:59, time: 0.191, data_time: 0.008, memory: 59439, decode.loss_ce: 0.1917, decode.acc_seg: 92.2295, loss: 0.1917 +2023-03-04 04:37:35,888 - mmseg - INFO - Iter [58400/160000] lr: 7.500e-05, eta: 5:58:46, time: 0.191, data_time: 0.008, memory: 59439, decode.loss_ce: 0.1997, decode.acc_seg: 91.7117, loss: 0.1997 +2023-03-04 04:37:45,657 - mmseg - INFO - Iter [58450/160000] lr: 7.500e-05, eta: 5:58:34, time: 0.195, data_time: 0.008, memory: 59439, decode.loss_ce: 0.1996, decode.acc_seg: 91.7048, loss: 0.1996 +2023-03-04 04:37:55,154 - mmseg - INFO - Iter [58500/160000] lr: 7.500e-05, eta: 5:58:22, time: 0.190, data_time: 0.008, memory: 59439, decode.loss_ce: 0.2017, decode.acc_seg: 91.7943, loss: 0.2017 +2023-03-04 04:38:05,094 - mmseg - INFO - Iter [58550/160000] lr: 7.500e-05, eta: 5:58:10, time: 0.199, data_time: 0.008, memory: 59439, decode.loss_ce: 0.2044, decode.acc_seg: 91.6732, loss: 0.2044 +2023-03-04 04:38:14,996 - mmseg - INFO - Iter [58600/160000] lr: 7.500e-05, eta: 5:57:58, time: 0.198, data_time: 0.008, memory: 59439, decode.loss_ce: 0.1952, decode.acc_seg: 91.9819, loss: 0.1952 +2023-03-04 04:38:24,654 - mmseg - INFO - Iter [58650/160000] lr: 7.500e-05, eta: 5:57:46, time: 0.193, data_time: 0.008, memory: 59439, decode.loss_ce: 0.1941, decode.acc_seg: 92.0777, loss: 0.1941 +2023-03-04 04:38:37,201 - mmseg - INFO - Iter [58700/160000] lr: 7.500e-05, eta: 5:57:39, time: 0.251, data_time: 0.058, memory: 59439, decode.loss_ce: 0.1963, decode.acc_seg: 91.9108, loss: 0.1963 +2023-03-04 04:38:46,978 - mmseg - INFO - Iter [58750/160000] lr: 7.500e-05, eta: 5:57:27, time: 0.195, data_time: 0.008, memory: 59439, decode.loss_ce: 0.2004, decode.acc_seg: 91.9032, loss: 0.2004 +2023-03-04 04:38:56,644 - mmseg - INFO - Iter [58800/160000] lr: 7.500e-05, eta: 5:57:14, time: 0.193, data_time: 0.008, memory: 59439, decode.loss_ce: 0.1956, decode.acc_seg: 91.9712, loss: 0.1956 +2023-03-04 04:39:06,296 - mmseg - INFO - Iter [58850/160000] lr: 7.500e-05, eta: 5:57:02, time: 0.193, data_time: 0.008, memory: 59439, decode.loss_ce: 0.2001, decode.acc_seg: 91.9462, loss: 0.2001 +2023-03-04 04:39:15,876 - mmseg - INFO - Iter [58900/160000] lr: 7.500e-05, eta: 5:56:50, time: 0.191, data_time: 0.008, memory: 59439, decode.loss_ce: 0.1975, decode.acc_seg: 91.9438, loss: 0.1975 +2023-03-04 04:39:25,412 - mmseg - INFO - Iter [58950/160000] lr: 7.500e-05, eta: 5:56:38, time: 0.191, data_time: 0.008, memory: 59439, decode.loss_ce: 0.1983, decode.acc_seg: 91.9655, loss: 0.1983 +2023-03-04 04:39:34,994 - mmseg - INFO - Exp name: ablation_segformer_mit_b2_segformer_head_unet_fc_small_multi_step_ade_pretrained_freeze_embed_160k_ade20k151_finetune_ema_t20.py +2023-03-04 04:39:34,994 - mmseg - INFO - Iter [59000/160000] lr: 7.500e-05, eta: 5:56:25, time: 0.192, data_time: 0.008, memory: 59439, decode.loss_ce: 0.1921, decode.acc_seg: 92.0626, loss: 0.1921 +2023-03-04 04:39:44,736 - mmseg - INFO - Iter [59050/160000] lr: 7.500e-05, eta: 5:56:13, time: 0.195, data_time: 0.007, memory: 59439, decode.loss_ce: 0.1936, decode.acc_seg: 91.9228, loss: 0.1936 +2023-03-04 04:39:54,379 - mmseg - INFO - Iter [59100/160000] lr: 7.500e-05, eta: 5:56:01, time: 0.193, data_time: 0.008, memory: 59439, decode.loss_ce: 0.1991, decode.acc_seg: 91.8467, loss: 0.1991 +2023-03-04 04:40:03,878 - mmseg - INFO - Iter [59150/160000] lr: 7.500e-05, eta: 5:55:49, time: 0.190, data_time: 0.008, memory: 59439, decode.loss_ce: 0.1948, decode.acc_seg: 91.8937, loss: 0.1948 +2023-03-04 04:40:13,409 - mmseg - INFO - Iter [59200/160000] lr: 7.500e-05, eta: 5:55:36, time: 0.191, data_time: 0.008, memory: 59439, decode.loss_ce: 0.1964, decode.acc_seg: 92.0238, loss: 0.1964 +2023-03-04 04:40:23,162 - mmseg - INFO - Iter [59250/160000] lr: 7.500e-05, eta: 5:55:24, time: 0.195, data_time: 0.008, memory: 59439, decode.loss_ce: 0.1939, decode.acc_seg: 92.0300, loss: 0.1939 +2023-03-04 04:40:32,627 - mmseg - INFO - Iter [59300/160000] lr: 7.500e-05, eta: 5:55:12, time: 0.189, data_time: 0.008, memory: 59439, decode.loss_ce: 0.1950, decode.acc_seg: 92.1392, loss: 0.1950 +2023-03-04 04:40:44,696 - mmseg - INFO - Iter [59350/160000] lr: 7.500e-05, eta: 5:55:04, time: 0.241, data_time: 0.057, memory: 59439, decode.loss_ce: 0.1888, decode.acc_seg: 92.2124, loss: 0.1888 +2023-03-04 04:40:54,353 - mmseg - INFO - Iter [59400/160000] lr: 7.500e-05, eta: 5:54:52, time: 0.193, data_time: 0.008, memory: 59439, decode.loss_ce: 0.1973, decode.acc_seg: 91.8939, loss: 0.1973 +2023-03-04 04:41:03,888 - mmseg - INFO - Iter [59450/160000] lr: 7.500e-05, eta: 5:54:39, time: 0.191, data_time: 0.008, memory: 59439, decode.loss_ce: 0.1997, decode.acc_seg: 92.1248, loss: 0.1997 +2023-03-04 04:41:13,425 - mmseg - INFO - Iter [59500/160000] lr: 7.500e-05, eta: 5:54:27, time: 0.191, data_time: 0.008, memory: 59439, decode.loss_ce: 0.1939, decode.acc_seg: 92.1341, loss: 0.1939 +2023-03-04 04:41:23,105 - mmseg - INFO - Iter [59550/160000] lr: 7.500e-05, eta: 5:54:15, time: 0.194, data_time: 0.007, memory: 59439, decode.loss_ce: 0.1893, decode.acc_seg: 92.2385, loss: 0.1893 +2023-03-04 04:41:32,592 - mmseg - INFO - Iter [59600/160000] lr: 7.500e-05, eta: 5:54:02, time: 0.190, data_time: 0.008, memory: 59439, decode.loss_ce: 0.1990, decode.acc_seg: 91.5287, loss: 0.1990 +2023-03-04 04:41:42,358 - mmseg - INFO - Iter [59650/160000] lr: 7.500e-05, eta: 5:53:50, time: 0.195, data_time: 0.008, memory: 59439, decode.loss_ce: 0.1949, decode.acc_seg: 92.1262, loss: 0.1949 +2023-03-04 04:41:52,094 - mmseg - INFO - Iter [59700/160000] lr: 7.500e-05, eta: 5:53:38, time: 0.195, data_time: 0.008, memory: 59439, decode.loss_ce: 0.1927, decode.acc_seg: 92.1150, loss: 0.1927 +2023-03-04 04:42:01,585 - mmseg - INFO - Iter [59750/160000] lr: 7.500e-05, eta: 5:53:26, time: 0.190, data_time: 0.008, memory: 59439, decode.loss_ce: 0.1983, decode.acc_seg: 91.8839, loss: 0.1983 +2023-03-04 04:42:11,494 - mmseg - INFO - Iter [59800/160000] lr: 7.500e-05, eta: 5:53:14, time: 0.198, data_time: 0.007, memory: 59439, decode.loss_ce: 0.1955, decode.acc_seg: 91.8958, loss: 0.1955 +2023-03-04 04:42:21,083 - mmseg - INFO - Iter [59850/160000] lr: 7.500e-05, eta: 5:53:02, time: 0.192, data_time: 0.008, memory: 59439, decode.loss_ce: 0.1975, decode.acc_seg: 91.9114, loss: 0.1975 +2023-03-04 04:42:31,101 - mmseg - INFO - Iter [59900/160000] lr: 7.500e-05, eta: 5:52:51, time: 0.200, data_time: 0.008, memory: 59439, decode.loss_ce: 0.1931, decode.acc_seg: 92.0661, loss: 0.1931 +2023-03-04 04:42:43,299 - mmseg - INFO - Iter [59950/160000] lr: 7.500e-05, eta: 5:52:43, time: 0.244, data_time: 0.053, memory: 59439, decode.loss_ce: 0.2040, decode.acc_seg: 91.4866, loss: 0.2040 +2023-03-04 04:42:53,042 - mmseg - INFO - Exp name: ablation_segformer_mit_b2_segformer_head_unet_fc_small_multi_step_ade_pretrained_freeze_embed_160k_ade20k151_finetune_ema_t20.py +2023-03-04 04:42:53,042 - mmseg - INFO - Iter [60000/160000] lr: 7.500e-05, eta: 5:52:31, time: 0.195, data_time: 0.008, memory: 59439, decode.loss_ce: 0.1992, decode.acc_seg: 91.8282, loss: 0.1992 +2023-03-04 04:43:02,810 - mmseg - INFO - Iter [60050/160000] lr: 7.500e-05, eta: 5:52:19, time: 0.195, data_time: 0.008, memory: 59439, decode.loss_ce: 0.1967, decode.acc_seg: 91.9237, loss: 0.1967 +2023-03-04 04:43:12,383 - mmseg - INFO - Iter [60100/160000] lr: 7.500e-05, eta: 5:52:07, time: 0.191, data_time: 0.008, memory: 59439, decode.loss_ce: 0.1959, decode.acc_seg: 91.8607, loss: 0.1959 +2023-03-04 04:43:22,091 - mmseg - INFO - Iter [60150/160000] lr: 7.500e-05, eta: 5:51:54, time: 0.194, data_time: 0.008, memory: 59439, decode.loss_ce: 0.2015, decode.acc_seg: 91.7875, loss: 0.2015 +2023-03-04 04:43:32,084 - mmseg - INFO - Iter [60200/160000] lr: 7.500e-05, eta: 5:51:43, time: 0.200, data_time: 0.007, memory: 59439, decode.loss_ce: 0.1961, decode.acc_seg: 92.0470, loss: 0.1961 +2023-03-04 04:43:41,785 - mmseg - INFO - Iter [60250/160000] lr: 7.500e-05, eta: 5:51:31, time: 0.194, data_time: 0.008, memory: 59439, decode.loss_ce: 0.1987, decode.acc_seg: 91.8036, loss: 0.1987 +2023-03-04 04:43:51,333 - mmseg - INFO - Iter [60300/160000] lr: 7.500e-05, eta: 5:51:19, time: 0.191, data_time: 0.008, memory: 59439, decode.loss_ce: 0.2037, decode.acc_seg: 91.8687, loss: 0.2037 +2023-03-04 04:44:00,902 - mmseg - INFO - Iter [60350/160000] lr: 7.500e-05, eta: 5:51:06, time: 0.191, data_time: 0.008, memory: 59439, decode.loss_ce: 0.1994, decode.acc_seg: 91.7560, loss: 0.1994 +2023-03-04 04:44:10,509 - mmseg - INFO - Iter [60400/160000] lr: 7.500e-05, eta: 5:50:54, time: 0.192, data_time: 0.008, memory: 59439, decode.loss_ce: 0.1941, decode.acc_seg: 91.9622, loss: 0.1941 +2023-03-04 04:44:20,187 - mmseg - INFO - Iter [60450/160000] lr: 7.500e-05, eta: 5:50:42, time: 0.194, data_time: 0.008, memory: 59439, decode.loss_ce: 0.1918, decode.acc_seg: 92.1715, loss: 0.1918 +2023-03-04 04:44:29,748 - mmseg - INFO - Iter [60500/160000] lr: 7.500e-05, eta: 5:50:30, time: 0.191, data_time: 0.008, memory: 59439, decode.loss_ce: 0.2095, decode.acc_seg: 91.4779, loss: 0.2095 +2023-03-04 04:44:39,492 - mmseg - INFO - Iter [60550/160000] lr: 7.500e-05, eta: 5:50:18, time: 0.195, data_time: 0.007, memory: 59439, decode.loss_ce: 0.1976, decode.acc_seg: 92.1471, loss: 0.1976 +2023-03-04 04:44:51,851 - mmseg - INFO - Iter [60600/160000] lr: 7.500e-05, eta: 5:50:10, time: 0.247, data_time: 0.054, memory: 59439, decode.loss_ce: 0.1980, decode.acc_seg: 91.8143, loss: 0.1980 +2023-03-04 04:45:01,589 - mmseg - INFO - Iter [60650/160000] lr: 7.500e-05, eta: 5:49:59, time: 0.195, data_time: 0.008, memory: 59439, decode.loss_ce: 0.2031, decode.acc_seg: 91.7371, loss: 0.2031 +2023-03-04 04:45:11,424 - mmseg - INFO - Iter [60700/160000] lr: 7.500e-05, eta: 5:49:47, time: 0.197, data_time: 0.007, memory: 59439, decode.loss_ce: 0.1972, decode.acc_seg: 91.8263, loss: 0.1972 +2023-03-04 04:45:20,985 - mmseg - INFO - Iter [60750/160000] lr: 7.500e-05, eta: 5:49:35, time: 0.191, data_time: 0.007, memory: 59439, decode.loss_ce: 0.1903, decode.acc_seg: 92.1506, loss: 0.1903 +2023-03-04 04:45:30,649 - mmseg - INFO - Iter [60800/160000] lr: 7.500e-05, eta: 5:49:23, time: 0.193, data_time: 0.008, memory: 59439, decode.loss_ce: 0.1981, decode.acc_seg: 91.7831, loss: 0.1981 +2023-03-04 04:45:40,296 - mmseg - INFO - Iter [60850/160000] lr: 7.500e-05, eta: 5:49:10, time: 0.193, data_time: 0.008, memory: 59439, decode.loss_ce: 0.1902, decode.acc_seg: 92.2430, loss: 0.1902 +2023-03-04 04:45:49,878 - mmseg - INFO - Iter [60900/160000] lr: 7.500e-05, eta: 5:48:58, time: 0.192, data_time: 0.008, memory: 59439, decode.loss_ce: 0.1969, decode.acc_seg: 91.7631, loss: 0.1969 +2023-03-04 04:45:59,556 - mmseg - INFO - Iter [60950/160000] lr: 7.500e-05, eta: 5:48:46, time: 0.194, data_time: 0.008, memory: 59439, decode.loss_ce: 0.1937, decode.acc_seg: 92.0039, loss: 0.1937 +2023-03-04 04:46:09,238 - mmseg - INFO - Exp name: ablation_segformer_mit_b2_segformer_head_unet_fc_small_multi_step_ade_pretrained_freeze_embed_160k_ade20k151_finetune_ema_t20.py +2023-03-04 04:46:09,238 - mmseg - INFO - Iter [61000/160000] lr: 7.500e-05, eta: 5:48:34, time: 0.194, data_time: 0.008, memory: 59439, decode.loss_ce: 0.1986, decode.acc_seg: 92.0181, loss: 0.1986 +2023-03-04 04:46:19,349 - mmseg - INFO - Iter [61050/160000] lr: 7.500e-05, eta: 5:48:23, time: 0.202, data_time: 0.009, memory: 59439, decode.loss_ce: 0.1941, decode.acc_seg: 92.0597, loss: 0.1941 +2023-03-04 04:46:29,083 - mmseg - INFO - Iter [61100/160000] lr: 7.500e-05, eta: 5:48:11, time: 0.195, data_time: 0.008, memory: 59439, decode.loss_ce: 0.1927, decode.acc_seg: 92.1846, loss: 0.1927 +2023-03-04 04:46:38,870 - mmseg - INFO - Iter [61150/160000] lr: 7.500e-05, eta: 5:47:59, time: 0.196, data_time: 0.008, memory: 59439, decode.loss_ce: 0.1921, decode.acc_seg: 92.0122, loss: 0.1921 +2023-03-04 04:46:48,388 - mmseg - INFO - Iter [61200/160000] lr: 7.500e-05, eta: 5:47:47, time: 0.190, data_time: 0.008, memory: 59439, decode.loss_ce: 0.1923, decode.acc_seg: 91.9869, loss: 0.1923 +2023-03-04 04:47:00,808 - mmseg - INFO - Iter [61250/160000] lr: 7.500e-05, eta: 5:47:39, time: 0.248, data_time: 0.058, memory: 59439, decode.loss_ce: 0.1953, decode.acc_seg: 91.9786, loss: 0.1953 +2023-03-04 04:47:10,770 - mmseg - INFO - Iter [61300/160000] lr: 7.500e-05, eta: 5:47:28, time: 0.199, data_time: 0.008, memory: 59439, decode.loss_ce: 0.1907, decode.acc_seg: 92.1235, loss: 0.1907 +2023-03-04 04:47:20,293 - mmseg - INFO - Iter [61350/160000] lr: 7.500e-05, eta: 5:47:16, time: 0.190, data_time: 0.008, memory: 59439, decode.loss_ce: 0.1918, decode.acc_seg: 92.0779, loss: 0.1918 +2023-03-04 04:47:30,183 - mmseg - INFO - Iter [61400/160000] lr: 7.500e-05, eta: 5:47:04, time: 0.198, data_time: 0.007, memory: 59439, decode.loss_ce: 0.1958, decode.acc_seg: 91.8933, loss: 0.1958 +2023-03-04 04:47:39,936 - mmseg - INFO - Iter [61450/160000] lr: 7.500e-05, eta: 5:46:52, time: 0.195, data_time: 0.008, memory: 59439, decode.loss_ce: 0.2111, decode.acc_seg: 91.5490, loss: 0.2111 +2023-03-04 04:47:49,892 - mmseg - INFO - Iter [61500/160000] lr: 7.500e-05, eta: 5:46:41, time: 0.199, data_time: 0.008, memory: 59439, decode.loss_ce: 0.1926, decode.acc_seg: 92.0268, loss: 0.1926 +2023-03-04 04:47:59,443 - mmseg - INFO - Iter [61550/160000] lr: 7.500e-05, eta: 5:46:29, time: 0.191, data_time: 0.008, memory: 59439, decode.loss_ce: 0.1954, decode.acc_seg: 92.0854, loss: 0.1954 +2023-03-04 04:48:09,426 - mmseg - INFO - Iter [61600/160000] lr: 7.500e-05, eta: 5:46:17, time: 0.200, data_time: 0.007, memory: 59439, decode.loss_ce: 0.1917, decode.acc_seg: 92.3073, loss: 0.1917 +2023-03-04 04:48:19,418 - mmseg - INFO - Iter [61650/160000] lr: 7.500e-05, eta: 5:46:06, time: 0.200, data_time: 0.008, memory: 59439, decode.loss_ce: 0.2000, decode.acc_seg: 91.8153, loss: 0.2000 +2023-03-04 04:48:29,151 - mmseg - INFO - Iter [61700/160000] lr: 7.500e-05, eta: 5:45:54, time: 0.195, data_time: 0.007, memory: 59439, decode.loss_ce: 0.2017, decode.acc_seg: 91.7545, loss: 0.2017 +2023-03-04 04:48:38,940 - mmseg - INFO - Iter [61750/160000] lr: 7.500e-05, eta: 5:45:42, time: 0.196, data_time: 0.008, memory: 59439, decode.loss_ce: 0.1990, decode.acc_seg: 91.8660, loss: 0.1990 +2023-03-04 04:48:48,514 - mmseg - INFO - Iter [61800/160000] lr: 7.500e-05, eta: 5:45:30, time: 0.191, data_time: 0.008, memory: 59439, decode.loss_ce: 0.1963, decode.acc_seg: 91.8017, loss: 0.1963 +2023-03-04 04:49:00,661 - mmseg - INFO - Iter [61850/160000] lr: 7.500e-05, eta: 5:45:22, time: 0.243, data_time: 0.056, memory: 59439, decode.loss_ce: 0.2057, decode.acc_seg: 91.8556, loss: 0.2057 +2023-03-04 04:49:10,199 - mmseg - INFO - Iter [61900/160000] lr: 7.500e-05, eta: 5:45:10, time: 0.191, data_time: 0.008, memory: 59439, decode.loss_ce: 0.1959, decode.acc_seg: 91.9537, loss: 0.1959 +2023-03-04 04:49:19,732 - mmseg - INFO - Iter [61950/160000] lr: 7.500e-05, eta: 5:44:57, time: 0.191, data_time: 0.008, memory: 59439, decode.loss_ce: 0.1902, decode.acc_seg: 92.1586, loss: 0.1902 +2023-03-04 04:49:29,526 - mmseg - INFO - Exp name: ablation_segformer_mit_b2_segformer_head_unet_fc_small_multi_step_ade_pretrained_freeze_embed_160k_ade20k151_finetune_ema_t20.py +2023-03-04 04:49:29,527 - mmseg - INFO - Iter [62000/160000] lr: 7.500e-05, eta: 5:44:46, time: 0.196, data_time: 0.008, memory: 59439, decode.loss_ce: 0.1994, decode.acc_seg: 91.7576, loss: 0.1994 +2023-03-04 04:49:39,072 - mmseg - INFO - Iter [62050/160000] lr: 7.500e-05, eta: 5:44:34, time: 0.191, data_time: 0.008, memory: 59439, decode.loss_ce: 0.1883, decode.acc_seg: 92.0850, loss: 0.1883 +2023-03-04 04:49:49,258 - mmseg - INFO - Iter [62100/160000] lr: 7.500e-05, eta: 5:44:22, time: 0.203, data_time: 0.007, memory: 59439, decode.loss_ce: 0.1899, decode.acc_seg: 92.3155, loss: 0.1899 +2023-03-04 04:49:58,917 - mmseg - INFO - Iter [62150/160000] lr: 7.500e-05, eta: 5:44:10, time: 0.193, data_time: 0.008, memory: 59439, decode.loss_ce: 0.1930, decode.acc_seg: 92.0630, loss: 0.1930 +2023-03-04 04:50:08,706 - mmseg - INFO - Iter [62200/160000] lr: 7.500e-05, eta: 5:43:59, time: 0.196, data_time: 0.008, memory: 59439, decode.loss_ce: 0.2000, decode.acc_seg: 91.7942, loss: 0.2000 +2023-03-04 04:50:18,355 - mmseg - INFO - Iter [62250/160000] lr: 7.500e-05, eta: 5:43:47, time: 0.193, data_time: 0.008, memory: 59439, decode.loss_ce: 0.1976, decode.acc_seg: 91.9876, loss: 0.1976 +2023-03-04 04:50:28,054 - mmseg - INFO - Iter [62300/160000] lr: 7.500e-05, eta: 5:43:35, time: 0.194, data_time: 0.008, memory: 59439, decode.loss_ce: 0.1982, decode.acc_seg: 91.8513, loss: 0.1982 +2023-03-04 04:50:37,665 - mmseg - INFO - Iter [62350/160000] lr: 7.500e-05, eta: 5:43:23, time: 0.192, data_time: 0.007, memory: 59439, decode.loss_ce: 0.1950, decode.acc_seg: 92.1069, loss: 0.1950 +2023-03-04 04:50:47,357 - mmseg - INFO - Iter [62400/160000] lr: 7.500e-05, eta: 5:43:11, time: 0.194, data_time: 0.008, memory: 59439, decode.loss_ce: 0.1977, decode.acc_seg: 92.0582, loss: 0.1977 +2023-03-04 04:50:56,989 - mmseg - INFO - Iter [62450/160000] lr: 7.500e-05, eta: 5:42:59, time: 0.193, data_time: 0.007, memory: 59439, decode.loss_ce: 0.1974, decode.acc_seg: 91.8689, loss: 0.1974 +2023-03-04 04:51:09,115 - mmseg - INFO - Iter [62500/160000] lr: 7.500e-05, eta: 5:42:51, time: 0.242, data_time: 0.057, memory: 59439, decode.loss_ce: 0.1961, decode.acc_seg: 91.8173, loss: 0.1961 +2023-03-04 04:51:18,684 - mmseg - INFO - Iter [62550/160000] lr: 7.500e-05, eta: 5:42:39, time: 0.191, data_time: 0.008, memory: 59439, decode.loss_ce: 0.1859, decode.acc_seg: 92.4401, loss: 0.1859 +2023-03-04 04:51:28,401 - mmseg - INFO - Iter [62600/160000] lr: 7.500e-05, eta: 5:42:27, time: 0.194, data_time: 0.008, memory: 59439, decode.loss_ce: 0.1907, decode.acc_seg: 92.1853, loss: 0.1907 +2023-03-04 04:51:38,040 - mmseg - INFO - Iter [62650/160000] lr: 7.500e-05, eta: 5:42:15, time: 0.193, data_time: 0.008, memory: 59439, decode.loss_ce: 0.1943, decode.acc_seg: 92.0838, loss: 0.1943 +2023-03-04 04:51:47,861 - mmseg - INFO - Iter [62700/160000] lr: 7.500e-05, eta: 5:42:03, time: 0.196, data_time: 0.007, memory: 59439, decode.loss_ce: 0.1822, decode.acc_seg: 92.4864, loss: 0.1822 +2023-03-04 04:51:57,748 - mmseg - INFO - Iter [62750/160000] lr: 7.500e-05, eta: 5:41:52, time: 0.198, data_time: 0.007, memory: 59439, decode.loss_ce: 0.2008, decode.acc_seg: 91.8993, loss: 0.2008 +2023-03-04 04:52:07,404 - mmseg - INFO - Iter [62800/160000] lr: 7.500e-05, eta: 5:41:40, time: 0.193, data_time: 0.007, memory: 59439, decode.loss_ce: 0.1933, decode.acc_seg: 92.1713, loss: 0.1933 +2023-03-04 04:52:17,111 - mmseg - INFO - Iter [62850/160000] lr: 7.500e-05, eta: 5:41:28, time: 0.194, data_time: 0.007, memory: 59439, decode.loss_ce: 0.1957, decode.acc_seg: 92.0402, loss: 0.1957 +2023-03-04 04:52:26,756 - mmseg - INFO - Iter [62900/160000] lr: 7.500e-05, eta: 5:41:16, time: 0.193, data_time: 0.008, memory: 59439, decode.loss_ce: 0.2004, decode.acc_seg: 91.9242, loss: 0.2004 +2023-03-04 04:52:36,372 - mmseg - INFO - Iter [62950/160000] lr: 7.500e-05, eta: 5:41:04, time: 0.192, data_time: 0.008, memory: 59439, decode.loss_ce: 0.1892, decode.acc_seg: 92.2525, loss: 0.1892 +2023-03-04 04:52:46,203 - mmseg - INFO - Exp name: ablation_segformer_mit_b2_segformer_head_unet_fc_small_multi_step_ade_pretrained_freeze_embed_160k_ade20k151_finetune_ema_t20.py +2023-03-04 04:52:46,204 - mmseg - INFO - Iter [63000/160000] lr: 7.500e-05, eta: 5:40:52, time: 0.197, data_time: 0.008, memory: 59439, decode.loss_ce: 0.1925, decode.acc_seg: 92.0491, loss: 0.1925 +2023-03-04 04:52:56,243 - mmseg - INFO - Iter [63050/160000] lr: 7.500e-05, eta: 5:40:41, time: 0.201, data_time: 0.008, memory: 59439, decode.loss_ce: 0.1996, decode.acc_seg: 91.8597, loss: 0.1996 +2023-03-04 04:53:05,743 - mmseg - INFO - Iter [63100/160000] lr: 7.500e-05, eta: 5:40:29, time: 0.190, data_time: 0.008, memory: 59439, decode.loss_ce: 0.1992, decode.acc_seg: 92.0209, loss: 0.1992 +2023-03-04 04:53:17,972 - mmseg - INFO - Iter [63150/160000] lr: 7.500e-05, eta: 5:40:21, time: 0.245, data_time: 0.055, memory: 59439, decode.loss_ce: 0.1926, decode.acc_seg: 92.1529, loss: 0.1926 +2023-03-04 04:53:27,502 - mmseg - INFO - Iter [63200/160000] lr: 7.500e-05, eta: 5:40:09, time: 0.191, data_time: 0.007, memory: 59439, decode.loss_ce: 0.1928, decode.acc_seg: 92.0459, loss: 0.1928 +2023-03-04 04:53:37,219 - mmseg - INFO - Iter [63250/160000] lr: 7.500e-05, eta: 5:39:57, time: 0.194, data_time: 0.008, memory: 59439, decode.loss_ce: 0.1997, decode.acc_seg: 92.0127, loss: 0.1997 +2023-03-04 04:53:47,063 - mmseg - INFO - Iter [63300/160000] lr: 7.500e-05, eta: 5:39:45, time: 0.197, data_time: 0.007, memory: 59439, decode.loss_ce: 0.1964, decode.acc_seg: 91.8992, loss: 0.1964 +2023-03-04 04:53:56,667 - mmseg - INFO - Iter [63350/160000] lr: 7.500e-05, eta: 5:39:34, time: 0.192, data_time: 0.008, memory: 59439, decode.loss_ce: 0.1980, decode.acc_seg: 91.7932, loss: 0.1980 +2023-03-04 04:54:06,683 - mmseg - INFO - Iter [63400/160000] lr: 7.500e-05, eta: 5:39:22, time: 0.200, data_time: 0.007, memory: 59439, decode.loss_ce: 0.1989, decode.acc_seg: 92.0141, loss: 0.1989 +2023-03-04 04:54:16,431 - mmseg - INFO - Iter [63450/160000] lr: 7.500e-05, eta: 5:39:10, time: 0.195, data_time: 0.008, memory: 59439, decode.loss_ce: 0.1968, decode.acc_seg: 91.9039, loss: 0.1968 +2023-03-04 04:54:26,031 - mmseg - INFO - Iter [63500/160000] lr: 7.500e-05, eta: 5:38:58, time: 0.192, data_time: 0.008, memory: 59439, decode.loss_ce: 0.1856, decode.acc_seg: 92.3056, loss: 0.1856 +2023-03-04 04:54:35,723 - mmseg - INFO - Iter [63550/160000] lr: 7.500e-05, eta: 5:38:47, time: 0.194, data_time: 0.008, memory: 59439, decode.loss_ce: 0.2006, decode.acc_seg: 91.7864, loss: 0.2006 +2023-03-04 04:54:45,344 - mmseg - INFO - Iter [63600/160000] lr: 7.500e-05, eta: 5:38:35, time: 0.193, data_time: 0.008, memory: 59439, decode.loss_ce: 0.2001, decode.acc_seg: 91.9226, loss: 0.2001 +2023-03-04 04:54:55,077 - mmseg - INFO - Iter [63650/160000] lr: 7.500e-05, eta: 5:38:23, time: 0.195, data_time: 0.008, memory: 59439, decode.loss_ce: 0.1974, decode.acc_seg: 91.8913, loss: 0.1974 +2023-03-04 04:55:04,668 - mmseg - INFO - Iter [63700/160000] lr: 7.500e-05, eta: 5:38:11, time: 0.192, data_time: 0.008, memory: 59439, decode.loss_ce: 0.1901, decode.acc_seg: 92.1365, loss: 0.1901 +2023-03-04 04:55:17,013 - mmseg - INFO - Iter [63750/160000] lr: 7.500e-05, eta: 5:38:03, time: 0.247, data_time: 0.057, memory: 59439, decode.loss_ce: 0.1931, decode.acc_seg: 92.0961, loss: 0.1931 +2023-03-04 04:55:27,015 - mmseg - INFO - Iter [63800/160000] lr: 7.500e-05, eta: 5:37:52, time: 0.200, data_time: 0.007, memory: 59439, decode.loss_ce: 0.1926, decode.acc_seg: 92.1487, loss: 0.1926 +2023-03-04 04:55:36,539 - mmseg - INFO - Iter [63850/160000] lr: 7.500e-05, eta: 5:37:40, time: 0.190, data_time: 0.008, memory: 59439, decode.loss_ce: 0.1951, decode.acc_seg: 92.0568, loss: 0.1951 +2023-03-04 04:55:46,238 - mmseg - INFO - Iter [63900/160000] lr: 7.500e-05, eta: 5:37:28, time: 0.194, data_time: 0.007, memory: 59439, decode.loss_ce: 0.1877, decode.acc_seg: 92.3508, loss: 0.1877 +2023-03-04 04:55:55,818 - mmseg - INFO - Iter [63950/160000] lr: 7.500e-05, eta: 5:37:16, time: 0.192, data_time: 0.008, memory: 59439, decode.loss_ce: 0.1996, decode.acc_seg: 91.7612, loss: 0.1996 +2023-03-04 04:56:05,362 - mmseg - INFO - Swap parameters (after train) after iter [64000] +2023-03-04 04:56:05,375 - mmseg - INFO - Saving checkpoint at 64000 iterations +2023-03-04 04:56:06,406 - mmseg - INFO - Exp name: ablation_segformer_mit_b2_segformer_head_unet_fc_small_multi_step_ade_pretrained_freeze_embed_160k_ade20k151_finetune_ema_t20.py +2023-03-04 04:56:06,407 - mmseg - INFO - Iter [64000/160000] lr: 7.500e-05, eta: 5:37:06, time: 0.212, data_time: 0.008, memory: 59439, decode.loss_ce: 0.1994, decode.acc_seg: 91.8411, loss: 0.1994 +2023-03-04 04:59:37,947 - mmseg - INFO - per class results: +2023-03-04 04:59:37,960 - mmseg - INFO - ++---------------------+-------------------------------------------------------------------------------------------------------------------------+ +| Class | IoU 0,1,2,3,4,5,6,7,8,9,10,11,12,13,14,15,16,17,18,19 | ++---------------------+-------------------------------------------------------------------------------------------------------------------------+ +| background | nan,nan,nan,nan,nan,nan,nan,nan,nan,nan,nan,nan,nan,nan,nan,nan,nan,nan,nan,nan | +| wall | 77.45,77.47,77.49,77.51,77.51,77.53,77.53,77.55,77.55,77.56,77.56,77.57,77.58,77.58,77.58,77.59,77.59,77.59,77.6,77.59 | +| building | 81.59,81.6,81.6,81.6,81.61,81.62,81.62,81.63,81.65,81.64,81.65,81.65,81.66,81.67,81.67,81.68,81.67,81.69,81.68,81.7 | +| sky | 94.47,94.48,94.48,94.49,94.49,94.49,94.49,94.49,94.49,94.49,94.5,94.5,94.5,94.5,94.5,94.5,94.51,94.5,94.51,94.5 | +| floor | 81.74,81.75,81.76,81.76,81.75,81.77,81.77,81.77,81.76,81.77,81.77,81.78,81.78,81.78,81.78,81.78,81.78,81.78,81.78,81.77 | +| tree | 74.35,74.37,74.37,74.38,74.38,74.39,74.37,74.39,74.39,74.4,74.39,74.4,74.4,74.41,74.39,74.43,74.4,74.43,74.41,74.42 | +| ceiling | 85.33,85.35,85.36,85.38,85.38,85.4,85.4,85.39,85.41,85.4,85.43,85.41,85.44,85.41,85.43,85.42,85.44,85.43,85.43,85.43 | +| road | 82.14,82.15,82.17,82.16,82.18,82.16,82.17,82.2,82.17,82.17,82.16,82.16,82.18,82.14,82.15,82.13,82.14,82.12,82.12,82.1 | +| bed | 87.83,87.81,87.85,87.84,87.84,87.85,87.85,87.89,87.85,87.88,87.87,87.86,87.84,87.87,87.82,87.86,87.8,87.84,87.79,87.82 | +| windowpane | 60.72,60.74,60.74,60.81,60.8,60.84,60.84,60.86,60.9,60.9,60.95,60.96,61.0,60.97,61.03,60.99,61.06,61.01,61.07,61.02 | +| grass | 67.29,67.28,67.29,67.3,67.32,67.33,67.32,67.33,67.34,67.35,67.36,67.37,67.37,67.37,67.37,67.38,67.36,67.4,67.38,67.39 | +| cabinet | 60.99,61.01,61.05,61.1,61.17,61.24,61.28,61.32,61.38,61.38,61.44,61.39,61.46,61.42,61.47,61.4,61.45,61.39,61.43,61.37 | +| sidewalk | 63.92,63.96,63.99,64.0,64.07,64.01,64.06,64.08,64.09,64.09,64.07,64.09,64.1,64.06,64.06,64.07,64.05,64.07,64.04,64.05 | +| person | 79.65,79.66,79.7,79.69,79.69,79.71,79.73,79.72,79.73,79.75,79.72,79.75,79.73,79.74,79.76,79.75,79.75,79.75,79.75,79.77 | +| earth | 35.66,35.68,35.66,35.7,35.65,35.73,35.69,35.71,35.69,35.75,35.74,35.76,35.75,35.75,35.76,35.75,35.77,35.74,35.8,35.74 | +| door | 45.77,45.78,45.82,45.85,45.83,45.87,45.88,45.89,45.9,45.94,45.9,45.98,45.99,45.99,46.01,45.99,46.08,46.01,46.11,46.02 | +| table | 60.77,60.79,60.76,60.81,60.83,60.85,60.89,60.87,60.9,60.87,60.91,60.88,60.93,60.9,60.93,60.93,60.97,60.93,60.95,60.95 | +| mountain | 56.86,56.91,56.92,56.94,56.95,57.0,57.02,57.04,57.06,57.11,57.04,57.16,57.1,57.22,57.2,57.28,57.29,57.31,57.33,57.33 | +| plant | 50.25,50.25,50.25,50.22,50.23,50.24,50.19,50.21,50.16,50.15,50.18,50.12,50.16,50.09,50.13,50.1,50.14,50.12,50.13,50.13 | +| curtain | 74.55,74.62,74.62,74.67,74.67,74.69,74.73,74.78,74.76,74.84,74.81,74.88,74.84,74.94,74.9,74.99,74.92,75.01,74.96,75.03 | +| chair | 56.2,56.24,56.23,56.25,56.27,56.27,56.33,56.29,56.3,56.28,56.29,56.28,56.33,56.28,56.31,56.29,56.31,56.3,56.3,56.3 | +| car | 81.39,81.4,81.4,81.43,81.43,81.46,81.44,81.46,81.46,81.5,81.49,81.51,81.51,81.49,81.49,81.53,81.53,81.56,81.55,81.55 | +| water | 56.93,56.95,56.97,56.95,56.96,56.99,57.0,57.0,57.01,57.02,57.04,57.05,57.06,57.07,57.08,57.09,57.09,57.09,57.11,57.11 | +| painting | 70.31,70.33,70.34,70.3,70.34,70.32,70.32,70.35,70.33,70.34,70.32,70.31,70.32,70.35,70.36,70.31,70.33,70.29,70.32,70.28 | +| sofa | 64.81,64.87,64.9,64.98,65.03,65.06,65.09,65.14,65.13,65.24,65.13,65.21,65.16,65.19,65.18,65.17,65.2,65.13,65.15,65.07 | +| shelf | 44.53,44.55,44.63,44.65,44.69,44.68,44.69,44.81,44.8,44.88,44.87,44.87,44.83,44.92,44.84,44.9,44.85,44.9,44.85,44.91 | +| house | 42.36,42.34,42.43,42.37,42.38,42.54,42.53,42.49,42.65,42.59,42.67,42.67,42.59,42.76,42.59,42.75,42.52,42.74,42.54,42.73 | +| sea | 59.77,59.83,59.81,59.78,59.83,59.85,59.85,59.84,59.85,59.87,59.88,59.88,59.92,59.91,59.94,59.93,59.92,59.94,59.96,59.97 | +| mirror | 65.5,65.52,65.6,65.6,65.69,65.64,65.73,65.75,65.79,65.79,65.84,65.85,65.96,65.92,65.98,65.96,66.01,65.99,66.07,66.09 | +| rug | 65.44,65.54,65.58,65.57,65.59,65.67,65.66,65.7,65.7,65.72,65.72,65.71,65.76,65.72,65.83,65.75,65.87,65.74,65.89,65.76 | +| field | 30.65,30.65,30.68,30.67,30.64,30.68,30.67,30.7,30.69,30.7,30.69,30.7,30.7,30.72,30.71,30.72,30.72,30.72,30.73,30.74 | +| armchair | 37.71,37.75,37.8,37.75,37.89,37.89,37.94,37.91,37.96,37.99,37.98,37.96,38.0,38.02,38.03,38.02,38.04,38.01,38.04,38.01 | +| seat | 66.19,66.22,66.23,66.3,66.24,66.29,66.42,66.38,66.44,66.38,66.49,66.41,66.5,66.43,66.52,66.45,66.46,66.43,66.44,66.45 | +| fence | 40.17,40.21,40.23,40.23,40.24,40.3,40.42,40.39,40.45,40.55,40.51,40.61,40.57,40.64,40.66,40.71,40.69,40.74,40.66,40.75 | +| desk | 46.57,46.59,46.59,46.57,46.66,46.64,46.73,46.66,46.72,46.73,46.83,46.67,46.75,46.63,46.76,46.66,46.7,46.64,46.66,46.61 | +| rock | 37.13,37.11,37.17,37.19,37.2,37.2,37.22,37.19,37.22,37.18,37.25,37.18,37.25,37.27,37.31,37.25,37.27,37.23,37.28,37.21 | +| wardrobe | 58.08,58.12,58.06,58.11,58.05,58.22,58.15,58.3,58.18,58.37,58.27,58.37,58.28,58.38,58.28,58.36,58.33,58.35,58.37,58.35 | +| lamp | 61.81,61.82,61.87,61.83,61.86,61.91,61.84,61.87,61.87,61.92,61.95,61.97,61.95,62.02,61.98,62.01,62.01,62.03,61.99,62.02 | +| bathtub | 77.24,77.25,77.4,77.4,77.37,77.45,77.37,77.22,77.12,77.19,77.06,77.02,77.04,76.87,76.88,76.8,76.73,76.58,76.64,76.5 | +| railing | 33.54,33.52,33.54,33.59,33.56,33.52,33.57,33.56,33.6,33.6,33.64,33.57,33.65,33.62,33.62,33.6,33.63,33.6,33.63,33.59 | +| cushion | 57.17,57.16,57.14,57.17,57.11,57.33,57.14,57.23,57.09,57.21,57.06,57.18,57.17,57.24,57.22,57.26,57.25,57.19,57.31,57.18 | +| base | 21.86,21.87,21.93,21.98,21.99,21.99,21.94,22.03,22.02,22.0,21.99,21.97,21.97,22.01,22.02,22.07,21.99,22.08,21.97,22.11 | +| box | 23.25,23.31,23.3,23.33,23.28,23.33,23.39,23.41,23.4,23.46,23.4,23.45,23.39,23.53,23.4,23.48,23.37,23.42,23.35,23.41 | +| column | 46.27,46.31,46.28,46.34,46.24,46.35,46.24,46.32,46.35,46.3,46.37,46.34,46.37,46.28,46.28,46.25,46.31,46.29,46.35,46.25 | +| signboard | 38.2,38.2,38.24,38.27,38.23,38.31,38.26,38.33,38.3,38.39,38.31,38.34,38.27,38.4,38.31,38.37,38.28,38.32,38.29,38.36 | +| chest of drawers | 35.98,36.06,36.04,36.12,36.2,36.32,36.24,36.33,36.3,36.4,36.36,36.4,36.5,36.5,36.49,36.55,36.52,36.58,36.56,36.63 | +| counter | 31.22,31.23,31.21,31.18,31.18,31.21,31.19,31.27,31.24,31.23,31.17,31.2,31.12,31.17,31.13,31.14,31.09,31.14,31.12,31.13 | +| sand | 41.95,41.96,42.03,42.01,42.04,42.11,42.14,42.1,42.16,42.16,42.2,42.2,42.22,42.21,42.2,42.19,42.23,42.19,42.25,42.18 | +| sink | 68.45,68.43,68.46,68.5,68.49,68.5,68.46,68.4,68.41,68.39,68.42,68.4,68.37,68.38,68.37,68.36,68.32,68.39,68.3,68.35 | +| skyscraper | 48.41,48.29,48.21,48.21,48.13,48.07,48.06,48.01,47.98,48.01,47.95,47.88,47.93,47.93,48.01,47.91,48.01,47.86,48.05,47.84 | +| fireplace | 76.25,76.24,76.31,76.33,76.3,76.28,76.3,76.4,76.54,76.44,76.52,76.59,76.62,76.68,76.59,76.74,76.7,76.76,76.77,76.82 | +| refrigerator | 73.95,74.1,74.12,74.2,74.27,74.5,74.51,74.69,74.47,74.86,74.58,74.79,74.71,74.86,74.75,74.9,74.76,74.92,74.77,75.0 | +| grandstand | 52.66,52.93,52.91,53.25,53.48,53.47,53.64,53.65,53.63,53.84,54.01,53.97,54.14,54.14,54.39,54.22,54.51,54.28,54.51,54.38 | +| path | 22.48,22.54,22.55,22.59,22.63,22.63,22.67,22.68,22.77,22.77,22.85,22.86,22.86,22.91,22.91,22.95,23.0,23.01,23.08,23.09 | +| stairs | 32.86,32.83,32.76,32.74,32.7,32.65,32.61,32.49,32.61,32.44,32.57,32.43,32.52,32.44,32.56,32.52,32.54,32.52,32.55,32.53 | +| runway | 68.25,68.3,68.34,68.36,68.44,68.44,68.51,68.5,68.53,68.52,68.56,68.61,68.63,68.65,68.63,68.73,68.66,68.74,68.68,68.76 | +| case | 47.69,47.64,47.76,47.75,47.86,47.83,47.82,47.86,47.9,47.94,47.92,48.1,47.99,48.03,47.99,48.04,48.01,48.05,47.99,48.0 | +| pool table | 92.02,92.0,92.06,92.05,92.04,92.08,92.05,92.09,92.1,92.12,92.12,92.11,92.13,92.14,92.17,92.16,92.19,92.15,92.19,92.18 | +| pillow | 60.93,61.04,60.96,61.18,60.98,61.18,61.18,61.12,60.84,60.95,60.85,60.94,61.06,60.98,61.08,61.1,61.0,60.97,60.96,60.92 | +| screen door | 70.03,70.23,70.1,70.02,70.14,70.07,69.78,69.87,69.65,69.79,69.4,69.57,69.47,69.37,69.47,69.35,69.41,69.47,69.47,69.39 | +| stairway | 24.48,24.45,24.51,24.6,24.52,24.6,24.66,24.65,24.63,24.64,24.68,24.66,24.73,24.72,24.75,24.69,24.74,24.77,24.75,24.76 | +| river | 11.75,11.76,11.76,11.75,11.76,11.74,11.74,11.76,11.76,11.75,11.75,11.75,11.75,11.77,11.74,11.77,11.77,11.78,11.78,11.8 | +| bridge | 29.76,29.97,29.85,29.8,29.88,30.02,29.94,30.05,29.86,29.98,29.97,29.97,30.01,30.08,29.98,30.11,30.1,30.25,30.37,30.52 | +| bookcase | 46.6,46.6,46.56,46.6,46.56,46.52,46.64,46.63,46.55,46.57,46.61,46.59,46.66,46.62,46.66,46.54,46.65,46.47,46.64,46.48 | +| blind | 39.46,39.47,39.42,39.44,39.36,39.43,39.44,39.48,39.4,39.45,39.38,39.51,39.38,39.5,39.37,39.57,39.4,39.61,39.47,39.63 | +| coffee table | 53.82,53.77,53.73,53.73,53.68,53.69,53.87,53.72,53.75,53.62,53.67,53.67,53.68,53.58,53.7,53.59,53.65,53.6,53.6,53.54 | +| toilet | 84.06,83.98,83.93,83.99,83.96,83.91,83.87,83.91,83.82,83.79,83.88,83.79,83.82,83.83,83.78,83.78,83.72,83.74,83.69,83.74 | +| flower | 38.82,38.86,38.87,38.69,38.82,38.73,38.82,38.78,38.73,38.74,38.76,38.69,38.65,38.71,38.6,38.71,38.61,38.68,38.58,38.68 | +| book | 45.53,45.56,45.48,45.49,45.49,45.57,45.66,45.56,45.57,45.61,45.61,45.57,45.62,45.59,45.65,45.65,45.63,45.61,45.64,45.59 | +| hill | 15.75,15.75,15.8,15.87,15.7,15.81,15.76,15.77,15.75,15.88,15.79,15.83,15.76,15.85,15.74,15.89,15.78,15.91,15.77,15.95 | +| bench | 43.58,43.46,43.43,43.51,43.42,43.29,43.31,43.24,43.1,43.11,43.15,42.96,42.95,42.86,42.9,42.9,42.96,42.96,42.87,42.89 | +| countertop | 55.67,55.57,55.56,55.58,55.48,55.46,55.46,55.44,55.48,55.35,55.32,55.34,55.46,55.2,55.34,55.2,55.45,55.16,55.55,55.19 | +| stove | 71.03,70.91,71.08,71.11,71.1,71.08,71.07,71.01,71.12,71.05,71.16,71.09,71.08,71.06,71.03,71.1,71.04,71.08,71.04,71.09 | +| palm | 48.02,48.19,48.14,48.11,48.11,48.16,48.14,48.27,48.06,48.11,48.18,48.2,48.23,48.19,48.27,48.24,48.2,48.29,48.24,48.29 | +| kitchen island | 44.23,44.44,44.42,44.27,44.36,44.37,44.4,44.46,44.19,44.15,44.22,44.42,44.27,44.28,44.16,44.28,44.18,44.27,44.18,44.17 | +| computer | 60.39,60.38,60.41,60.39,60.42,60.39,60.45,60.42,60.42,60.43,60.46,60.43,60.39,60.42,60.4,60.42,60.43,60.37,60.42,60.36 | +| swivel chair | 43.22,43.39,43.25,43.35,43.35,43.44,43.55,43.47,43.58,43.43,43.5,43.55,43.49,43.69,43.53,43.71,43.54,43.69,43.57,43.69 | +| boat | 73.89,73.98,73.9,73.97,74.06,74.02,73.98,74.16,74.07,74.1,74.1,74.13,74.16,74.12,74.12,74.19,74.23,74.18,74.32,74.15 | +| bar | 23.74,23.72,23.71,23.66,23.69,23.7,23.7,23.7,23.69,23.72,23.65,23.66,23.6,23.63,23.58,23.59,23.56,23.53,23.51,23.48 | +| arcade machine | 72.95,72.81,73.27,73.4,73.59,73.47,73.93,73.8,74.21,73.93,74.34,74.08,74.48,74.25,74.37,74.34,74.36,74.35,74.3,74.48 | +| hovel | 31.88,31.79,31.7,31.78,31.53,31.71,31.54,31.76,31.47,31.52,31.32,31.43,31.28,31.41,30.96,31.25,30.81,31.09,30.84,30.98 | +| bus | 79.36,79.43,79.38,79.44,79.38,79.41,79.36,79.29,79.31,79.31,79.33,79.28,79.36,79.25,79.27,79.27,79.25,79.26,79.27,79.25 | +| towel | 63.44,63.48,63.45,63.6,63.54,63.5,63.55,63.62,63.53,63.67,63.63,63.69,63.67,63.71,63.71,63.68,63.7,63.69,63.67,63.64 | +| light | 56.37,56.33,56.34,56.42,56.36,56.48,56.45,56.46,56.48,56.51,56.48,56.44,56.51,56.5,56.48,56.52,56.45,56.47,56.45,56.46 | +| truck | 17.93,17.91,17.95,17.92,17.82,17.85,17.77,17.77,17.82,17.74,17.6,17.68,17.78,17.55,17.56,17.57,17.65,17.39,17.6,17.37 | +| tower | 9.43,9.43,9.43,9.44,9.51,9.45,9.46,9.48,9.48,9.5,9.49,9.52,9.52,9.54,9.53,9.54,9.56,9.55,9.58,9.55 | +| chandelier | 64.38,64.26,64.23,64.27,64.27,64.35,64.36,64.33,64.4,64.34,64.35,64.3,64.31,64.42,64.39,64.31,64.36,64.23,64.29,64.21 | +| awning | 24.63,24.66,24.72,24.74,24.85,24.84,24.91,24.93,24.92,24.94,25.07,24.94,25.04,25.1,25.08,25.17,25.13,25.16,25.16,25.18 | +| streetlight | 27.15,27.2,27.2,27.24,27.28,27.28,27.29,27.33,27.26,27.26,27.35,27.32,27.26,27.31,27.34,27.34,27.34,27.35,27.32,27.33 | +| booth | 48.56,48.45,48.85,48.97,49.12,49.07,49.34,49.36,49.4,49.51,49.54,49.8,49.51,49.78,49.53,49.84,49.83,49.92,49.77,49.89 | +| television receiver | 64.81,64.73,64.9,65.01,65.05,65.18,65.15,65.12,65.23,65.29,65.33,65.47,65.51,65.53,65.49,65.48,65.54,65.5,65.58,65.56 | +| airplane | 57.75,57.71,57.79,57.69,57.75,57.55,57.63,57.59,57.53,57.58,57.53,57.5,57.55,57.41,57.53,57.39,57.58,57.32,57.6,57.27 | +| dirt track | 22.34,22.45,22.45,22.45,22.57,22.59,22.64,22.61,22.61,22.64,22.75,22.62,22.82,22.81,22.95,22.88,23.07,22.91,23.4,22.97 | +| apparel | 32.74,32.83,32.77,32.95,32.67,32.92,32.71,32.84,32.75,32.74,32.92,32.84,32.92,32.86,32.87,32.79,32.79,32.59,32.75,32.64 | +| pole | 19.24,19.34,19.15,19.27,19.07,19.15,19.08,19.06,19.05,19.1,19.05,18.95,18.92,18.83,18.89,18.69,18.82,18.64,18.77,18.52 | +| land | 3.54,3.57,3.54,3.53,3.56,3.53,3.57,3.54,3.52,3.55,3.55,3.58,3.49,3.61,3.48,3.61,3.45,3.57,3.46,3.56 | +| bannister | 11.91,12.0,12.02,12.03,12.12,12.11,12.04,12.06,12.02,12.09,12.21,12.13,12.23,12.15,12.3,12.26,12.29,12.31,12.34,12.32 | +| escalator | 23.85,23.87,23.92,23.93,23.9,24.04,24.01,24.02,24.02,24.04,24.14,24.06,24.13,24.13,24.17,24.19,24.26,24.21,24.26,24.33 | +| ottoman | 44.29,44.29,44.14,44.18,43.98,44.03,43.74,44.0,43.65,43.81,43.54,43.83,43.34,43.88,43.19,43.78,43.25,43.82,43.26,43.75 | +| bottle | 34.66,34.62,34.57,34.65,34.57,34.61,34.48,34.67,34.51,34.51,34.42,34.27,34.3,34.4,34.2,34.34,34.26,34.3,34.17,34.18 | +| buffet | 39.8,40.29,40.49,41.09,41.7,41.82,42.03,42.19,42.46,42.73,42.91,42.98,43.25,43.42,43.47,43.54,43.57,43.66,43.69,43.78 | +| poster | 22.55,22.57,22.6,22.47,22.51,22.42,22.52,22.52,22.55,22.53,22.49,22.47,22.56,22.45,22.69,22.59,22.73,22.53,22.79,22.54 | +| stage | 15.81,15.78,15.88,15.99,16.09,16.08,16.02,16.14,16.23,16.24,16.28,16.33,16.26,16.37,16.36,16.42,16.36,16.46,16.45,16.56 | +| van | 38.95,38.86,38.92,39.09,39.16,39.07,39.14,39.12,39.06,39.29,39.35,39.39,39.28,39.37,39.44,39.47,39.63,39.5,39.65,39.51 | +| ship | 82.29,82.38,82.31,82.41,82.47,82.42,82.52,82.58,82.49,82.54,82.66,82.63,82.69,82.7,82.66,82.7,82.75,82.8,82.75,82.8 | +| fountain | 20.45,20.52,20.66,20.78,20.8,21.0,21.13,21.14,21.26,21.24,21.27,21.5,21.5,21.52,21.69,21.67,21.67,21.77,21.81,21.89 | +| conveyer belt | 84.37,84.36,84.42,84.46,84.51,84.58,84.54,84.6,84.75,84.66,84.83,84.8,84.82,84.92,84.68,84.96,84.74,85.09,84.74,85.07 | +| canopy | 22.61,22.78,22.83,23.05,23.1,23.19,23.29,23.28,23.46,23.72,23.98,23.97,23.97,24.19,24.29,24.41,24.53,24.69,24.71,24.75 | +| washer | 74.65,74.54,74.77,74.77,74.95,75.07,75.07,75.01,75.19,75.23,75.34,75.23,75.42,75.46,75.48,75.29,75.44,75.47,75.57,75.62 | +| plaything | 20.8,20.79,20.7,20.82,20.77,20.8,20.67,20.73,20.77,20.78,20.75,20.7,20.79,20.71,20.7,20.68,20.72,20.68,20.66,20.69 | +| swimming pool | 73.31,73.58,73.65,73.8,73.71,73.62,73.65,73.76,73.65,73.88,73.96,74.13,73.72,74.19,73.93,74.44,74.27,74.53,74.42,74.71 | +| stool | 44.57,44.59,44.59,44.6,44.54,44.7,44.81,44.81,44.75,45.01,44.87,44.96,45.01,44.84,45.12,44.88,44.96,44.7,44.84,44.73 | +| barrel | 41.13,40.58,39.89,40.02,39.79,40.17,39.91,39.72,39.04,39.6,39.37,39.16,39.05,38.55,38.57,38.21,38.34,38.07,38.37,37.84 | +| basket | 23.88,23.92,23.97,23.96,23.91,24.01,23.89,23.97,23.98,23.94,24.04,24.0,24.07,23.99,24.09,24.05,24.07,23.94,24.1,23.91 | +| waterfall | 48.38,48.41,48.52,48.58,48.5,48.57,48.46,48.58,48.54,48.42,48.58,48.57,48.57,48.59,48.52,48.54,48.55,48.52,48.58,48.54 | +| tent | 95.16,95.18,95.16,95.23,95.25,95.21,95.25,95.21,95.24,95.3,95.26,95.26,95.31,95.3,95.28,95.32,95.3,95.34,95.28,95.36 | +| bag | 15.89,16.03,16.04,16.07,16.0,16.28,16.33,16.24,16.25,16.31,16.26,16.46,16.41,16.5,16.5,16.55,16.61,16.59,16.59,16.59 | +| minibike | 61.75,61.69,61.65,61.73,61.65,61.67,61.55,61.78,61.8,61.75,61.59,61.58,61.57,61.64,61.59,61.66,61.59,61.67,61.59,61.65 | +| cradle | 84.16,84.13,84.18,84.28,84.37,84.4,84.47,84.53,84.51,84.62,84.79,84.76,84.84,84.85,84.9,85.03,84.98,85.11,85.11,85.22 | +| oven | 46.09,46.33,46.33,46.5,46.45,46.48,46.7,46.71,46.81,46.85,46.95,46.93,46.86,47.05,47.02,47.13,47.15,47.12,47.09,47.19 | +| ball | 49.47,49.22,49.44,49.12,49.13,48.94,49.35,48.85,49.17,48.84,48.8,48.99,48.73,48.95,48.52,48.8,48.41,48.72,48.07,48.78 | +| food | 53.15,53.19,53.35,53.36,53.43,53.42,53.35,53.49,53.58,53.47,53.34,53.46,53.36,53.5,53.3,53.43,53.28,53.4,53.24,53.32 | +| step | 5.26,5.13,5.17,5.2,5.2,5.08,5.13,5.0,5.06,5.03,4.95,4.96,4.9,4.92,4.82,4.82,4.8,4.75,4.69,4.68 | +| tank | 53.57,53.63,53.66,53.56,53.66,53.62,53.71,53.77,53.67,53.71,53.76,53.7,53.65,53.68,53.57,53.7,53.68,53.66,53.67,53.69 | +| trade name | 29.42,29.45,29.31,29.47,29.39,29.35,29.36,29.34,29.24,29.25,29.36,29.19,29.24,29.23,29.22,29.14,29.17,29.17,29.09,29.16 | +| microwave | 71.02,71.14,71.24,71.2,71.27,71.35,71.42,71.47,71.48,71.68,71.7,71.75,71.84,71.89,71.92,71.96,72.0,72.12,72.16,72.24 | +| pot | 29.3,29.37,29.39,29.39,29.4,29.43,29.46,29.58,29.64,29.57,29.65,29.56,29.65,29.72,29.72,29.82,29.77,29.77,29.82,29.85 | +| animal | 54.78,54.85,54.82,54.88,54.9,54.91,54.95,54.94,54.98,54.95,54.99,55.0,55.04,55.04,55.04,55.08,55.09,55.09,55.12,55.1 | +| bicycle | 54.2,54.28,54.34,54.51,54.58,54.43,54.65,54.68,54.8,54.74,54.98,54.83,55.05,54.96,55.31,55.08,55.27,55.3,55.34,55.34 | +| lake | 56.96,57.04,57.03,56.99,57.06,57.01,57.04,57.1,57.15,57.14,57.14,57.2,57.2,57.24,57.22,57.27,57.22,57.3,57.25,57.3 | +| dishwasher | 65.41,65.23,65.14,65.18,65.18,64.85,64.76,64.98,64.71,64.69,64.57,64.67,64.45,64.77,64.33,64.55,64.39,64.53,64.43,64.48 | +| screen | 69.04,68.81,68.69,68.66,68.77,68.43,68.33,68.09,68.14,67.82,67.99,67.75,67.87,67.78,67.88,67.72,67.84,67.75,67.93,67.78 | +| blanket | 18.94,18.95,19.04,19.01,19.08,19.17,19.24,19.24,19.24,19.21,19.37,19.2,19.3,19.22,19.19,19.21,19.22,19.15,19.21,19.1 | +| sculpture | 57.66,57.59,57.72,57.61,57.78,57.72,57.71,57.7,57.64,57.75,57.72,57.78,57.67,57.88,57.79,57.85,58.01,58.07,58.01,58.15 | +| hood | 57.13,57.02,57.27,57.03,57.12,57.18,56.75,57.15,56.66,56.8,56.42,56.46,56.3,56.35,56.12,56.08,55.79,55.77,55.47,55.44 | +| sconce | 41.42,41.57,41.7,41.68,41.82,42.0,42.01,42.11,42.32,42.19,42.39,42.44,42.53,42.58,42.79,42.67,42.92,42.75,43.13,42.92 | +| vase | 36.88,36.83,36.95,37.0,36.99,37.01,37.1,37.23,37.11,37.27,37.16,37.14,37.14,37.31,37.29,37.32,37.34,37.28,37.37,37.3 | +| traffic light | 32.91,33.17,33.08,33.23,33.06,33.21,33.2,33.28,33.37,33.37,33.37,33.42,33.41,33.53,33.55,33.58,33.57,33.63,33.66,33.77 | +| tray | 7.5,7.53,7.57,7.56,7.67,7.63,7.6,7.69,7.78,7.8,7.71,7.7,7.84,7.76,7.87,7.88,7.94,7.81,7.92,7.85 | +| ashcan | 41.16,41.06,41.17,41.16,41.25,41.11,41.16,41.1,41.28,41.21,41.34,41.23,41.45,41.23,41.34,41.29,41.24,41.22,41.24,41.27 | +| fan | 57.27,57.14,57.19,57.15,57.1,57.1,57.09,57.03,57.02,57.02,56.89,56.89,56.95,56.87,56.87,56.93,56.89,56.84,56.83,56.79 | +| pier | 48.56,48.63,48.34,48.41,48.24,48.82,48.44,48.61,48.71,48.95,48.64,48.99,49.08,48.99,49.31,49.51,49.52,49.55,49.83,49.9 | +| crt screen | 10.18,10.2,10.19,10.17,10.27,10.22,10.29,10.18,10.31,10.18,10.26,10.23,10.28,10.28,10.28,10.28,10.31,10.29,10.32,10.24 | +| plate | 51.93,52.03,52.1,52.07,52.11,52.22,52.2,52.27,52.2,52.42,52.4,52.33,52.49,52.5,52.52,52.48,52.62,52.6,52.67,52.71 | +| monitor | 18.69,18.41,18.55,18.44,18.52,18.39,18.29,18.24,18.17,18.08,18.0,17.95,17.89,17.89,17.82,17.71,17.7,17.61,17.55,17.53 | +| bulletin board | 36.58,36.62,36.78,36.9,36.82,36.91,37.14,37.0,37.28,37.06,37.16,37.21,37.34,37.23,37.42,37.3,37.51,37.34,37.56,37.37 | +| shower | 2.0,2.05,2.07,2.07,2.01,2.06,2.06,1.99,2.08,2.06,2.0,2.02,1.97,2.05,1.98,2.07,1.95,1.94,1.93,2.0 | +| radiator | 59.65,59.54,59.87,60.19,60.24,60.1,60.31,60.7,60.42,60.73,60.7,60.86,61.04,61.2,61.34,61.43,61.75,61.89,62.09,62.15 | +| glass | 13.65,13.73,13.74,13.73,13.75,13.82,13.7,13.74,13.78,13.74,13.81,13.76,13.84,13.82,13.79,13.82,13.78,13.85,13.8,13.82 | +| clock | 36.07,36.3,36.02,36.05,36.15,36.1,35.86,35.98,36.15,36.07,36.2,36.09,36.19,35.78,35.92,35.82,35.69,35.63,35.78,35.67 | +| flag | 35.15,34.95,35.08,34.88,34.99,35.01,34.63,34.67,34.78,34.84,34.52,34.87,34.55,34.67,34.55,34.74,34.43,34.79,34.48,34.71 | ++---------------------+-------------------------------------------------------------------------------------------------------------------------+ +2023-03-04 04:59:37,960 - mmseg - INFO - Summary: +2023-03-04 04:59:37,960 - mmseg - INFO - ++----------------------------------------------------------------------------------------------------------------------+ +| mIoU 0,1,2,3,4,5,6,7,8,9,10,11,12,13,14,15,16,17,18,19 | ++----------------------------------------------------------------------------------------------------------------------+ +| 48.69,48.71,48.73,48.76,48.77,48.79,48.8,48.82,48.81,48.84,48.84,48.85,48.86,48.88,48.87,48.89,48.89,48.89,48.9,48.9 | ++----------------------------------------------------------------------------------------------------------------------+ +2023-03-04 04:59:37,994 - mmseg - INFO - The previous best checkpoint /mnt/petrelfs/laizeqiang/mmseg-baseline/work_dirs2/ablation_segformer_mit_b2_segformer_head_unet_fc_small_multi_step_ade_pretrained_freeze_embed_160k_ade20k151_finetune_ema_t20/best_mIoU_iter_48000.pth was removed +2023-03-04 04:59:38,912 - mmseg - INFO - Now best checkpoint is saved as best_mIoU_iter_64000.pth. +2023-03-04 04:59:38,913 - mmseg - INFO - Best mIoU is 0.4890 at 64000 iter. +2023-03-04 04:59:38,913 - mmseg - INFO - Exp name: ablation_segformer_mit_b2_segformer_head_unet_fc_small_multi_step_ade_pretrained_freeze_embed_160k_ade20k151_finetune_ema_t20.py +2023-03-04 04:59:38,913 - mmseg - INFO - Iter(val) [250] mIoU: [0.4869, 0.4871, 0.4873, 0.4876, 0.4877, 0.4879, 0.488, 0.4882, 0.4881, 0.4884, 0.4884, 0.4885, 0.4886, 0.4888, 0.4887, 0.4889, 0.4889, 0.4889, 0.489, 0.489], copy_paste: 48.69,48.71,48.73,48.76,48.77,48.79,48.8,48.82,48.81,48.84,48.84,48.85,48.86,48.88,48.87,48.89,48.89,48.89,48.9,48.9 +2023-03-04 04:59:38,919 - mmseg - INFO - Swap parameters (before train) before iter [64001] +2023-03-04 04:59:48,971 - mmseg - INFO - Iter [64050/160000] lr: 7.500e-05, eta: 5:42:13, time: 4.451, data_time: 4.258, memory: 59439, decode.loss_ce: 0.1997, decode.acc_seg: 91.6937, loss: 0.1997 +2023-03-04 04:59:59,222 - mmseg - INFO - Iter [64100/160000] lr: 7.500e-05, eta: 5:42:01, time: 0.205, data_time: 0.007, memory: 59439, decode.loss_ce: 0.2001, decode.acc_seg: 91.8240, loss: 0.2001 +2023-03-04 05:00:09,113 - mmseg - INFO - Iter [64150/160000] lr: 7.500e-05, eta: 5:41:49, time: 0.198, data_time: 0.008, memory: 59439, decode.loss_ce: 0.2007, decode.acc_seg: 91.8381, loss: 0.2007 +2023-03-04 05:00:18,687 - mmseg - INFO - Iter [64200/160000] lr: 7.500e-05, eta: 5:41:37, time: 0.191, data_time: 0.008, memory: 59439, decode.loss_ce: 0.1924, decode.acc_seg: 92.2235, loss: 0.1924 +2023-03-04 05:00:28,671 - mmseg - INFO - Iter [64250/160000] lr: 7.500e-05, eta: 5:41:25, time: 0.200, data_time: 0.008, memory: 59439, decode.loss_ce: 0.1904, decode.acc_seg: 92.3362, loss: 0.1904 +2023-03-04 05:00:38,496 - mmseg - INFO - Iter [64300/160000] lr: 7.500e-05, eta: 5:41:13, time: 0.197, data_time: 0.008, memory: 59439, decode.loss_ce: 0.1903, decode.acc_seg: 92.2355, loss: 0.1903 +2023-03-04 05:00:48,145 - mmseg - INFO - Iter [64350/160000] lr: 7.500e-05, eta: 5:41:01, time: 0.193, data_time: 0.008, memory: 59439, decode.loss_ce: 0.1973, decode.acc_seg: 91.9612, loss: 0.1973 +2023-03-04 05:01:00,427 - mmseg - INFO - Iter [64400/160000] lr: 7.500e-05, eta: 5:40:53, time: 0.246, data_time: 0.053, memory: 59439, decode.loss_ce: 0.1884, decode.acc_seg: 92.2538, loss: 0.1884 +2023-03-04 05:01:09,964 - mmseg - INFO - Iter [64450/160000] lr: 7.500e-05, eta: 5:40:40, time: 0.191, data_time: 0.008, memory: 59439, decode.loss_ce: 0.1952, decode.acc_seg: 92.0079, loss: 0.1952 +2023-03-04 05:01:19,680 - mmseg - INFO - Iter [64500/160000] lr: 7.500e-05, eta: 5:40:28, time: 0.194, data_time: 0.008, memory: 59439, decode.loss_ce: 0.2023, decode.acc_seg: 91.7670, loss: 0.2023 +2023-03-04 05:01:29,474 - mmseg - INFO - Iter [64550/160000] lr: 7.500e-05, eta: 5:40:16, time: 0.196, data_time: 0.008, memory: 59439, decode.loss_ce: 0.1954, decode.acc_seg: 92.1158, loss: 0.1954 +2023-03-04 05:01:39,222 - mmseg - INFO - Iter [64600/160000] lr: 7.500e-05, eta: 5:40:04, time: 0.195, data_time: 0.008, memory: 59439, decode.loss_ce: 0.1921, decode.acc_seg: 92.1789, loss: 0.1921 +2023-03-04 05:01:49,201 - mmseg - INFO - Iter [64650/160000] lr: 7.500e-05, eta: 5:39:52, time: 0.200, data_time: 0.008, memory: 59439, decode.loss_ce: 0.1896, decode.acc_seg: 92.1827, loss: 0.1896 +2023-03-04 05:01:59,032 - mmseg - INFO - Iter [64700/160000] lr: 7.500e-05, eta: 5:39:40, time: 0.197, data_time: 0.008, memory: 59439, decode.loss_ce: 0.1946, decode.acc_seg: 91.9551, loss: 0.1946 +2023-03-04 05:02:08,721 - mmseg - INFO - Iter [64750/160000] lr: 7.500e-05, eta: 5:39:28, time: 0.194, data_time: 0.007, memory: 59439, decode.loss_ce: 0.2002, decode.acc_seg: 91.7772, loss: 0.2002 +2023-03-04 05:02:18,356 - mmseg - INFO - Iter [64800/160000] lr: 7.500e-05, eta: 5:39:16, time: 0.193, data_time: 0.008, memory: 59439, decode.loss_ce: 0.1953, decode.acc_seg: 91.8948, loss: 0.1953 +2023-03-04 05:02:27,877 - mmseg - INFO - Iter [64850/160000] lr: 7.500e-05, eta: 5:39:03, time: 0.190, data_time: 0.008, memory: 59439, decode.loss_ce: 0.1977, decode.acc_seg: 91.9405, loss: 0.1977 +2023-03-04 05:02:37,556 - mmseg - INFO - Iter [64900/160000] lr: 7.500e-05, eta: 5:38:51, time: 0.194, data_time: 0.008, memory: 59439, decode.loss_ce: 0.2069, decode.acc_seg: 91.5458, loss: 0.2069 +2023-03-04 05:02:47,252 - mmseg - INFO - Iter [64950/160000] lr: 7.500e-05, eta: 5:38:39, time: 0.194, data_time: 0.007, memory: 59439, decode.loss_ce: 0.1900, decode.acc_seg: 92.0599, loss: 0.1900 +2023-03-04 05:02:59,382 - mmseg - INFO - Exp name: ablation_segformer_mit_b2_segformer_head_unet_fc_small_multi_step_ade_pretrained_freeze_embed_160k_ade20k151_finetune_ema_t20.py +2023-03-04 05:02:59,383 - mmseg - INFO - Iter [65000/160000] lr: 7.500e-05, eta: 5:38:31, time: 0.243, data_time: 0.055, memory: 59439, decode.loss_ce: 0.2036, decode.acc_seg: 91.7868, loss: 0.2036 +2023-03-04 05:03:09,051 - mmseg - INFO - Iter [65050/160000] lr: 7.500e-05, eta: 5:38:18, time: 0.193, data_time: 0.007, memory: 59439, decode.loss_ce: 0.1961, decode.acc_seg: 92.0936, loss: 0.1961 +2023-03-04 05:03:18,703 - mmseg - INFO - Iter [65100/160000] lr: 7.500e-05, eta: 5:38:06, time: 0.193, data_time: 0.008, memory: 59439, decode.loss_ce: 0.1952, decode.acc_seg: 92.0727, loss: 0.1952 +2023-03-04 05:03:28,235 - mmseg - INFO - Iter [65150/160000] lr: 7.500e-05, eta: 5:37:54, time: 0.191, data_time: 0.008, memory: 59439, decode.loss_ce: 0.1960, decode.acc_seg: 92.1074, loss: 0.1960 +2023-03-04 05:03:37,937 - mmseg - INFO - Iter [65200/160000] lr: 7.500e-05, eta: 5:37:42, time: 0.194, data_time: 0.008, memory: 59439, decode.loss_ce: 0.1875, decode.acc_seg: 92.3329, loss: 0.1875 +2023-03-04 05:03:47,790 - mmseg - INFO - Iter [65250/160000] lr: 7.500e-05, eta: 5:37:30, time: 0.197, data_time: 0.008, memory: 59439, decode.loss_ce: 0.1964, decode.acc_seg: 91.8195, loss: 0.1964 +2023-03-04 05:03:57,550 - mmseg - INFO - Iter [65300/160000] lr: 7.500e-05, eta: 5:37:18, time: 0.195, data_time: 0.008, memory: 59439, decode.loss_ce: 0.2062, decode.acc_seg: 91.6075, loss: 0.2062 +2023-03-04 05:04:07,188 - mmseg - INFO - Iter [65350/160000] lr: 7.500e-05, eta: 5:37:05, time: 0.193, data_time: 0.008, memory: 59439, decode.loss_ce: 0.1964, decode.acc_seg: 92.0088, loss: 0.1964 +2023-03-04 05:04:16,842 - mmseg - INFO - Iter [65400/160000] lr: 7.500e-05, eta: 5:36:53, time: 0.193, data_time: 0.008, memory: 59439, decode.loss_ce: 0.1958, decode.acc_seg: 91.8588, loss: 0.1958 +2023-03-04 05:04:26,527 - mmseg - INFO - Iter [65450/160000] lr: 7.500e-05, eta: 5:36:41, time: 0.194, data_time: 0.008, memory: 59439, decode.loss_ce: 0.1918, decode.acc_seg: 92.0965, loss: 0.1918 +2023-03-04 05:04:36,108 - mmseg - INFO - Iter [65500/160000] lr: 7.500e-05, eta: 5:36:29, time: 0.192, data_time: 0.008, memory: 59439, decode.loss_ce: 0.1915, decode.acc_seg: 92.0725, loss: 0.1915 +2023-03-04 05:04:46,111 - mmseg - INFO - Iter [65550/160000] lr: 7.500e-05, eta: 5:36:17, time: 0.200, data_time: 0.008, memory: 59439, decode.loss_ce: 0.1953, decode.acc_seg: 91.8933, loss: 0.1953 +2023-03-04 05:04:55,670 - mmseg - INFO - Iter [65600/160000] lr: 7.500e-05, eta: 5:36:05, time: 0.191, data_time: 0.008, memory: 59439, decode.loss_ce: 0.2021, decode.acc_seg: 91.7455, loss: 0.2021 +2023-03-04 05:05:07,751 - mmseg - INFO - Iter [65650/160000] lr: 7.500e-05, eta: 5:35:56, time: 0.242, data_time: 0.056, memory: 59439, decode.loss_ce: 0.1881, decode.acc_seg: 92.3478, loss: 0.1881 +2023-03-04 05:05:17,340 - mmseg - INFO - Iter [65700/160000] lr: 7.500e-05, eta: 5:35:44, time: 0.192, data_time: 0.008, memory: 59439, decode.loss_ce: 0.1938, decode.acc_seg: 92.0611, loss: 0.1938 +2023-03-04 05:05:26,941 - mmseg - INFO - Iter [65750/160000] lr: 7.500e-05, eta: 5:35:32, time: 0.192, data_time: 0.008, memory: 59439, decode.loss_ce: 0.1956, decode.acc_seg: 91.9506, loss: 0.1956 +2023-03-04 05:05:36,542 - mmseg - INFO - Iter [65800/160000] lr: 7.500e-05, eta: 5:35:20, time: 0.192, data_time: 0.008, memory: 59439, decode.loss_ce: 0.1957, decode.acc_seg: 91.9774, loss: 0.1957 +2023-03-04 05:05:46,174 - mmseg - INFO - Iter [65850/160000] lr: 7.500e-05, eta: 5:35:07, time: 0.192, data_time: 0.008, memory: 59439, decode.loss_ce: 0.2012, decode.acc_seg: 91.7695, loss: 0.2012 +2023-03-04 05:05:55,757 - mmseg - INFO - Iter [65900/160000] lr: 7.500e-05, eta: 5:34:55, time: 0.192, data_time: 0.008, memory: 59439, decode.loss_ce: 0.1969, decode.acc_seg: 92.0156, loss: 0.1969 +2023-03-04 05:06:05,316 - mmseg - INFO - Iter [65950/160000] lr: 7.500e-05, eta: 5:34:43, time: 0.191, data_time: 0.008, memory: 59439, decode.loss_ce: 0.2016, decode.acc_seg: 91.7662, loss: 0.2016 +2023-03-04 05:06:15,055 - mmseg - INFO - Exp name: ablation_segformer_mit_b2_segformer_head_unet_fc_small_multi_step_ade_pretrained_freeze_embed_160k_ade20k151_finetune_ema_t20.py +2023-03-04 05:06:15,056 - mmseg - INFO - Iter [66000/160000] lr: 7.500e-05, eta: 5:34:31, time: 0.195, data_time: 0.008, memory: 59439, decode.loss_ce: 0.1874, decode.acc_seg: 92.2405, loss: 0.1874 +2023-03-04 05:06:24,601 - mmseg - INFO - Iter [66050/160000] lr: 7.500e-05, eta: 5:34:19, time: 0.191, data_time: 0.007, memory: 59439, decode.loss_ce: 0.1951, decode.acc_seg: 91.9557, loss: 0.1951 +2023-03-04 05:06:34,494 - mmseg - INFO - Iter [66100/160000] lr: 7.500e-05, eta: 5:34:07, time: 0.198, data_time: 0.008, memory: 59439, decode.loss_ce: 0.2102, decode.acc_seg: 91.7001, loss: 0.2102 +2023-03-04 05:06:44,270 - mmseg - INFO - Iter [66150/160000] lr: 7.500e-05, eta: 5:33:55, time: 0.196, data_time: 0.008, memory: 59439, decode.loss_ce: 0.1964, decode.acc_seg: 92.0654, loss: 0.1964 +2023-03-04 05:06:54,095 - mmseg - INFO - Iter [66200/160000] lr: 7.500e-05, eta: 5:33:43, time: 0.197, data_time: 0.008, memory: 59439, decode.loss_ce: 0.1947, decode.acc_seg: 91.9991, loss: 0.1947 +2023-03-04 05:07:03,982 - mmseg - INFO - Iter [66250/160000] lr: 7.500e-05, eta: 5:33:31, time: 0.198, data_time: 0.008, memory: 59439, decode.loss_ce: 0.1917, decode.acc_seg: 91.9970, loss: 0.1917 +2023-03-04 05:07:16,373 - mmseg - INFO - Iter [66300/160000] lr: 7.500e-05, eta: 5:33:23, time: 0.248, data_time: 0.057, memory: 59439, decode.loss_ce: 0.2053, decode.acc_seg: 91.5119, loss: 0.2053 +2023-03-04 05:07:25,995 - mmseg - INFO - Iter [66350/160000] lr: 7.500e-05, eta: 5:33:11, time: 0.192, data_time: 0.007, memory: 59439, decode.loss_ce: 0.1938, decode.acc_seg: 92.1284, loss: 0.1938 +2023-03-04 05:07:35,800 - mmseg - INFO - Iter [66400/160000] lr: 7.500e-05, eta: 5:32:59, time: 0.196, data_time: 0.007, memory: 59439, decode.loss_ce: 0.1979, decode.acc_seg: 91.9284, loss: 0.1979 +2023-03-04 05:07:45,770 - mmseg - INFO - Iter [66450/160000] lr: 7.500e-05, eta: 5:32:47, time: 0.200, data_time: 0.008, memory: 59439, decode.loss_ce: 0.1903, decode.acc_seg: 92.1653, loss: 0.1903 +2023-03-04 05:07:55,414 - mmseg - INFO - Iter [66500/160000] lr: 7.500e-05, eta: 5:32:35, time: 0.193, data_time: 0.007, memory: 59439, decode.loss_ce: 0.1962, decode.acc_seg: 91.8961, loss: 0.1962 +2023-03-04 05:08:05,099 - mmseg - INFO - Iter [66550/160000] lr: 7.500e-05, eta: 5:32:23, time: 0.193, data_time: 0.008, memory: 59439, decode.loss_ce: 0.1904, decode.acc_seg: 92.0987, loss: 0.1904 +2023-03-04 05:08:14,696 - mmseg - INFO - Iter [66600/160000] lr: 7.500e-05, eta: 5:32:11, time: 0.192, data_time: 0.008, memory: 59439, decode.loss_ce: 0.1906, decode.acc_seg: 92.2366, loss: 0.1906 +2023-03-04 05:08:24,280 - mmseg - INFO - Iter [66650/160000] lr: 7.500e-05, eta: 5:31:59, time: 0.192, data_time: 0.008, memory: 59439, decode.loss_ce: 0.1943, decode.acc_seg: 91.9782, loss: 0.1943 +2023-03-04 05:08:34,019 - mmseg - INFO - Iter [66700/160000] lr: 7.500e-05, eta: 5:31:47, time: 0.195, data_time: 0.007, memory: 59439, decode.loss_ce: 0.2012, decode.acc_seg: 91.7689, loss: 0.2012 +2023-03-04 05:08:43,594 - mmseg - INFO - Iter [66750/160000] lr: 7.500e-05, eta: 5:31:35, time: 0.192, data_time: 0.008, memory: 59439, decode.loss_ce: 0.2013, decode.acc_seg: 91.6928, loss: 0.2013 +2023-03-04 05:08:53,124 - mmseg - INFO - Iter [66800/160000] lr: 7.500e-05, eta: 5:31:22, time: 0.190, data_time: 0.007, memory: 59439, decode.loss_ce: 0.1958, decode.acc_seg: 91.9995, loss: 0.1958 +2023-03-04 05:09:03,035 - mmseg - INFO - Iter [66850/160000] lr: 7.500e-05, eta: 5:31:11, time: 0.198, data_time: 0.008, memory: 59439, decode.loss_ce: 0.1990, decode.acc_seg: 91.9099, loss: 0.1990 +2023-03-04 05:09:15,136 - mmseg - INFO - Iter [66900/160000] lr: 7.500e-05, eta: 5:31:02, time: 0.242, data_time: 0.056, memory: 59439, decode.loss_ce: 0.1869, decode.acc_seg: 92.3612, loss: 0.1869 +2023-03-04 05:09:24,716 - mmseg - INFO - Iter [66950/160000] lr: 7.500e-05, eta: 5:30:50, time: 0.192, data_time: 0.008, memory: 59439, decode.loss_ce: 0.1914, decode.acc_seg: 92.2187, loss: 0.1914 +2023-03-04 05:09:34,338 - mmseg - INFO - Exp name: ablation_segformer_mit_b2_segformer_head_unet_fc_small_multi_step_ade_pretrained_freeze_embed_160k_ade20k151_finetune_ema_t20.py +2023-03-04 05:09:34,339 - mmseg - INFO - Iter [67000/160000] lr: 7.500e-05, eta: 5:30:38, time: 0.192, data_time: 0.008, memory: 59439, decode.loss_ce: 0.1954, decode.acc_seg: 91.9353, loss: 0.1954 +2023-03-04 05:09:44,084 - mmseg - INFO - Iter [67050/160000] lr: 7.500e-05, eta: 5:30:26, time: 0.195, data_time: 0.007, memory: 59439, decode.loss_ce: 0.1981, decode.acc_seg: 91.9801, loss: 0.1981 +2023-03-04 05:09:53,881 - mmseg - INFO - Iter [67100/160000] lr: 7.500e-05, eta: 5:30:14, time: 0.196, data_time: 0.008, memory: 59439, decode.loss_ce: 0.1973, decode.acc_seg: 91.9403, loss: 0.1973 +2023-03-04 05:10:03,692 - mmseg - INFO - Iter [67150/160000] lr: 7.500e-05, eta: 5:30:02, time: 0.196, data_time: 0.008, memory: 59439, decode.loss_ce: 0.2028, decode.acc_seg: 91.7321, loss: 0.2028 +2023-03-04 05:10:13,391 - mmseg - INFO - Iter [67200/160000] lr: 7.500e-05, eta: 5:29:50, time: 0.194, data_time: 0.008, memory: 59439, decode.loss_ce: 0.1900, decode.acc_seg: 92.1270, loss: 0.1900 +2023-03-04 05:10:22,972 - mmseg - INFO - Iter [67250/160000] lr: 7.500e-05, eta: 5:29:38, time: 0.192, data_time: 0.008, memory: 59439, decode.loss_ce: 0.1942, decode.acc_seg: 91.8152, loss: 0.1942 +2023-03-04 05:10:32,681 - mmseg - INFO - Iter [67300/160000] lr: 7.500e-05, eta: 5:29:26, time: 0.194, data_time: 0.008, memory: 59439, decode.loss_ce: 0.1917, decode.acc_seg: 92.1193, loss: 0.1917 +2023-03-04 05:10:42,367 - mmseg - INFO - Iter [67350/160000] lr: 7.500e-05, eta: 5:29:14, time: 0.193, data_time: 0.008, memory: 59439, decode.loss_ce: 0.1946, decode.acc_seg: 91.9598, loss: 0.1946 +2023-03-04 05:10:52,067 - mmseg - INFO - Iter [67400/160000] lr: 7.500e-05, eta: 5:29:02, time: 0.194, data_time: 0.008, memory: 59439, decode.loss_ce: 0.1932, decode.acc_seg: 92.0331, loss: 0.1932 +2023-03-04 05:11:01,599 - mmseg - INFO - Iter [67450/160000] lr: 7.500e-05, eta: 5:28:50, time: 0.191, data_time: 0.008, memory: 59439, decode.loss_ce: 0.1962, decode.acc_seg: 91.9808, loss: 0.1962 +2023-03-04 05:11:11,429 - mmseg - INFO - Iter [67500/160000] lr: 7.500e-05, eta: 5:28:38, time: 0.197, data_time: 0.008, memory: 59439, decode.loss_ce: 0.1977, decode.acc_seg: 91.9455, loss: 0.1977 +2023-03-04 05:11:23,646 - mmseg - INFO - Iter [67550/160000] lr: 7.500e-05, eta: 5:28:29, time: 0.244, data_time: 0.056, memory: 59439, decode.loss_ce: 0.1949, decode.acc_seg: 91.8605, loss: 0.1949 +2023-03-04 05:11:33,384 - mmseg - INFO - Iter [67600/160000] lr: 7.500e-05, eta: 5:28:17, time: 0.195, data_time: 0.007, memory: 59439, decode.loss_ce: 0.1936, decode.acc_seg: 91.9383, loss: 0.1936 +2023-03-04 05:11:43,678 - mmseg - INFO - Iter [67650/160000] lr: 7.500e-05, eta: 5:28:06, time: 0.206, data_time: 0.007, memory: 59439, decode.loss_ce: 0.1857, decode.acc_seg: 92.4979, loss: 0.1857 +2023-03-04 05:11:53,297 - mmseg - INFO - Iter [67700/160000] lr: 7.500e-05, eta: 5:27:54, time: 0.192, data_time: 0.008, memory: 59439, decode.loss_ce: 0.1946, decode.acc_seg: 92.0323, loss: 0.1946 +2023-03-04 05:12:03,116 - mmseg - INFO - Iter [67750/160000] lr: 7.500e-05, eta: 5:27:42, time: 0.196, data_time: 0.008, memory: 59439, decode.loss_ce: 0.1914, decode.acc_seg: 92.1146, loss: 0.1914 +2023-03-04 05:12:12,670 - mmseg - INFO - Iter [67800/160000] lr: 7.500e-05, eta: 5:27:30, time: 0.191, data_time: 0.008, memory: 59439, decode.loss_ce: 0.1987, decode.acc_seg: 91.9334, loss: 0.1987 +2023-03-04 05:12:22,305 - mmseg - INFO - Iter [67850/160000] lr: 7.500e-05, eta: 5:27:18, time: 0.193, data_time: 0.008, memory: 59439, decode.loss_ce: 0.1859, decode.acc_seg: 92.3373, loss: 0.1859 +2023-03-04 05:12:32,081 - mmseg - INFO - Iter [67900/160000] lr: 7.500e-05, eta: 5:27:06, time: 0.196, data_time: 0.008, memory: 59439, decode.loss_ce: 0.1926, decode.acc_seg: 92.1628, loss: 0.1926 +2023-03-04 05:12:42,108 - mmseg - INFO - Iter [67950/160000] lr: 7.500e-05, eta: 5:26:55, time: 0.201, data_time: 0.008, memory: 59439, decode.loss_ce: 0.1949, decode.acc_seg: 91.8880, loss: 0.1949 +2023-03-04 05:12:51,897 - mmseg - INFO - Exp name: ablation_segformer_mit_b2_segformer_head_unet_fc_small_multi_step_ade_pretrained_freeze_embed_160k_ade20k151_finetune_ema_t20.py +2023-03-04 05:12:51,897 - mmseg - INFO - Iter [68000/160000] lr: 7.500e-05, eta: 5:26:43, time: 0.196, data_time: 0.008, memory: 59439, decode.loss_ce: 0.2022, decode.acc_seg: 91.7779, loss: 0.2022 +2023-03-04 05:13:01,473 - mmseg - INFO - Iter [68050/160000] lr: 7.500e-05, eta: 5:26:31, time: 0.192, data_time: 0.008, memory: 59439, decode.loss_ce: 0.1977, decode.acc_seg: 91.8308, loss: 0.1977 +2023-03-04 05:13:11,178 - mmseg - INFO - Iter [68100/160000] lr: 7.500e-05, eta: 5:26:19, time: 0.194, data_time: 0.007, memory: 59439, decode.loss_ce: 0.2016, decode.acc_seg: 91.8034, loss: 0.2016 +2023-03-04 05:13:23,633 - mmseg - INFO - Iter [68150/160000] lr: 7.500e-05, eta: 5:26:11, time: 0.249, data_time: 0.057, memory: 59439, decode.loss_ce: 0.1959, decode.acc_seg: 91.9222, loss: 0.1959 +2023-03-04 05:13:33,122 - mmseg - INFO - Iter [68200/160000] lr: 7.500e-05, eta: 5:25:58, time: 0.190, data_time: 0.007, memory: 59439, decode.loss_ce: 0.1889, decode.acc_seg: 92.2798, loss: 0.1889 +2023-03-04 05:13:42,655 - mmseg - INFO - Iter [68250/160000] lr: 7.500e-05, eta: 5:25:46, time: 0.191, data_time: 0.008, memory: 59439, decode.loss_ce: 0.1958, decode.acc_seg: 92.0344, loss: 0.1958 +2023-03-04 05:13:52,372 - mmseg - INFO - Iter [68300/160000] lr: 7.500e-05, eta: 5:25:34, time: 0.194, data_time: 0.007, memory: 59439, decode.loss_ce: 0.1910, decode.acc_seg: 92.1585, loss: 0.1910 +2023-03-04 05:14:02,101 - mmseg - INFO - Iter [68350/160000] lr: 7.500e-05, eta: 5:25:22, time: 0.195, data_time: 0.008, memory: 59439, decode.loss_ce: 0.2001, decode.acc_seg: 91.9473, loss: 0.2001 +2023-03-04 05:14:12,021 - mmseg - INFO - Iter [68400/160000] lr: 7.500e-05, eta: 5:25:11, time: 0.198, data_time: 0.008, memory: 59439, decode.loss_ce: 0.1963, decode.acc_seg: 92.0771, loss: 0.1963 +2023-03-04 05:14:21,580 - mmseg - INFO - Iter [68450/160000] lr: 7.500e-05, eta: 5:24:59, time: 0.191, data_time: 0.008, memory: 59439, decode.loss_ce: 0.1990, decode.acc_seg: 91.7462, loss: 0.1990 +2023-03-04 05:14:31,066 - mmseg - INFO - Iter [68500/160000] lr: 7.500e-05, eta: 5:24:47, time: 0.190, data_time: 0.008, memory: 59439, decode.loss_ce: 0.1963, decode.acc_seg: 91.9672, loss: 0.1963 +2023-03-04 05:14:40,792 - mmseg - INFO - Iter [68550/160000] lr: 7.500e-05, eta: 5:24:35, time: 0.195, data_time: 0.008, memory: 59439, decode.loss_ce: 0.2005, decode.acc_seg: 91.8305, loss: 0.2005 +2023-03-04 05:14:50,552 - mmseg - INFO - Iter [68600/160000] lr: 7.500e-05, eta: 5:24:23, time: 0.195, data_time: 0.008, memory: 59439, decode.loss_ce: 0.1966, decode.acc_seg: 91.9053, loss: 0.1966 +2023-03-04 05:15:00,231 - mmseg - INFO - Iter [68650/160000] lr: 7.500e-05, eta: 5:24:11, time: 0.194, data_time: 0.008, memory: 59439, decode.loss_ce: 0.1997, decode.acc_seg: 91.8112, loss: 0.1997 +2023-03-04 05:15:09,963 - mmseg - INFO - Iter [68700/160000] lr: 7.500e-05, eta: 5:23:59, time: 0.195, data_time: 0.008, memory: 59439, decode.loss_ce: 0.1883, decode.acc_seg: 92.3067, loss: 0.1883 +2023-03-04 05:15:19,563 - mmseg - INFO - Iter [68750/160000] lr: 7.500e-05, eta: 5:23:47, time: 0.192, data_time: 0.008, memory: 59439, decode.loss_ce: 0.1922, decode.acc_seg: 92.2284, loss: 0.1922 +2023-03-04 05:15:32,142 - mmseg - INFO - Iter [68800/160000] lr: 7.500e-05, eta: 5:23:39, time: 0.252, data_time: 0.057, memory: 59439, decode.loss_ce: 0.1984, decode.acc_seg: 91.9998, loss: 0.1984 +2023-03-04 05:15:41,698 - mmseg - INFO - Iter [68850/160000] lr: 7.500e-05, eta: 5:23:27, time: 0.191, data_time: 0.008, memory: 59439, decode.loss_ce: 0.1918, decode.acc_seg: 92.1565, loss: 0.1918 +2023-03-04 05:15:51,349 - mmseg - INFO - Iter [68900/160000] lr: 7.500e-05, eta: 5:23:15, time: 0.193, data_time: 0.008, memory: 59439, decode.loss_ce: 0.1920, decode.acc_seg: 92.1783, loss: 0.1920 +2023-03-04 05:16:00,993 - mmseg - INFO - Iter [68950/160000] lr: 7.500e-05, eta: 5:23:03, time: 0.193, data_time: 0.008, memory: 59439, decode.loss_ce: 0.1944, decode.acc_seg: 92.1566, loss: 0.1944 +2023-03-04 05:16:10,766 - mmseg - INFO - Exp name: ablation_segformer_mit_b2_segformer_head_unet_fc_small_multi_step_ade_pretrained_freeze_embed_160k_ade20k151_finetune_ema_t20.py +2023-03-04 05:16:10,766 - mmseg - INFO - Iter [69000/160000] lr: 7.500e-05, eta: 5:22:51, time: 0.195, data_time: 0.008, memory: 59439, decode.loss_ce: 0.1927, decode.acc_seg: 92.0392, loss: 0.1927 +2023-03-04 05:16:20,292 - mmseg - INFO - Iter [69050/160000] lr: 7.500e-05, eta: 5:22:39, time: 0.191, data_time: 0.008, memory: 59439, decode.loss_ce: 0.1933, decode.acc_seg: 92.1984, loss: 0.1933 +2023-03-04 05:16:30,027 - mmseg - INFO - Iter [69100/160000] lr: 7.500e-05, eta: 5:22:27, time: 0.194, data_time: 0.008, memory: 59439, decode.loss_ce: 0.2023, decode.acc_seg: 91.6412, loss: 0.2023 +2023-03-04 05:16:39,739 - mmseg - INFO - Iter [69150/160000] lr: 7.500e-05, eta: 5:22:15, time: 0.194, data_time: 0.008, memory: 59439, decode.loss_ce: 0.1960, decode.acc_seg: 91.9716, loss: 0.1960 +2023-03-04 05:16:49,419 - mmseg - INFO - Iter [69200/160000] lr: 7.500e-05, eta: 5:22:03, time: 0.193, data_time: 0.007, memory: 59439, decode.loss_ce: 0.1988, decode.acc_seg: 91.8229, loss: 0.1988 +2023-03-04 05:16:59,218 - mmseg - INFO - Iter [69250/160000] lr: 7.500e-05, eta: 5:21:52, time: 0.196, data_time: 0.008, memory: 59439, decode.loss_ce: 0.1923, decode.acc_seg: 92.0534, loss: 0.1923 +2023-03-04 05:17:08,979 - mmseg - INFO - Iter [69300/160000] lr: 7.500e-05, eta: 5:21:40, time: 0.195, data_time: 0.008, memory: 59439, decode.loss_ce: 0.2057, decode.acc_seg: 91.6763, loss: 0.2057 +2023-03-04 05:17:18,560 - mmseg - INFO - Iter [69350/160000] lr: 7.500e-05, eta: 5:21:28, time: 0.192, data_time: 0.008, memory: 59439, decode.loss_ce: 0.1888, decode.acc_seg: 92.4296, loss: 0.1888 +2023-03-04 05:17:28,176 - mmseg - INFO - Iter [69400/160000] lr: 7.500e-05, eta: 5:21:16, time: 0.192, data_time: 0.008, memory: 59439, decode.loss_ce: 0.1943, decode.acc_seg: 92.0135, loss: 0.1943 +2023-03-04 05:17:40,291 - mmseg - INFO - Iter [69450/160000] lr: 7.500e-05, eta: 5:21:07, time: 0.242, data_time: 0.054, memory: 59439, decode.loss_ce: 0.1946, decode.acc_seg: 91.9686, loss: 0.1946 +2023-03-04 05:17:50,014 - mmseg - INFO - Iter [69500/160000] lr: 7.500e-05, eta: 5:20:55, time: 0.194, data_time: 0.008, memory: 59439, decode.loss_ce: 0.2011, decode.acc_seg: 91.8874, loss: 0.2011 +2023-03-04 05:17:59,833 - mmseg - INFO - Iter [69550/160000] lr: 7.500e-05, eta: 5:20:44, time: 0.196, data_time: 0.007, memory: 59439, decode.loss_ce: 0.1897, decode.acc_seg: 92.3269, loss: 0.1897 +2023-03-04 05:18:09,411 - mmseg - INFO - Iter [69600/160000] lr: 7.500e-05, eta: 5:20:32, time: 0.192, data_time: 0.008, memory: 59439, decode.loss_ce: 0.1994, decode.acc_seg: 91.8274, loss: 0.1994 +2023-03-04 05:18:18,969 - mmseg - INFO - Iter [69650/160000] lr: 7.500e-05, eta: 5:20:20, time: 0.191, data_time: 0.008, memory: 59439, decode.loss_ce: 0.2001, decode.acc_seg: 91.8068, loss: 0.2001 +2023-03-04 05:18:28,698 - mmseg - INFO - Iter [69700/160000] lr: 7.500e-05, eta: 5:20:08, time: 0.195, data_time: 0.008, memory: 59439, decode.loss_ce: 0.1966, decode.acc_seg: 91.8580, loss: 0.1966 +2023-03-04 05:18:38,280 - mmseg - INFO - Iter [69750/160000] lr: 7.500e-05, eta: 5:19:56, time: 0.192, data_time: 0.008, memory: 59439, decode.loss_ce: 0.1954, decode.acc_seg: 92.0397, loss: 0.1954 +2023-03-04 05:18:48,092 - mmseg - INFO - Iter [69800/160000] lr: 7.500e-05, eta: 5:19:44, time: 0.196, data_time: 0.008, memory: 59439, decode.loss_ce: 0.1919, decode.acc_seg: 92.2353, loss: 0.1919 +2023-03-04 05:18:57,582 - mmseg - INFO - Iter [69850/160000] lr: 7.500e-05, eta: 5:19:32, time: 0.190, data_time: 0.008, memory: 59439, decode.loss_ce: 0.1886, decode.acc_seg: 92.2441, loss: 0.1886 +2023-03-04 05:19:07,217 - mmseg - INFO - Iter [69900/160000] lr: 7.500e-05, eta: 5:19:20, time: 0.193, data_time: 0.008, memory: 59439, decode.loss_ce: 0.1976, decode.acc_seg: 91.9099, loss: 0.1976 +2023-03-04 05:19:16,963 - mmseg - INFO - Iter [69950/160000] lr: 7.500e-05, eta: 5:19:08, time: 0.195, data_time: 0.008, memory: 59439, decode.loss_ce: 0.2013, decode.acc_seg: 91.9561, loss: 0.2013 +2023-03-04 05:19:26,569 - mmseg - INFO - Exp name: ablation_segformer_mit_b2_segformer_head_unet_fc_small_multi_step_ade_pretrained_freeze_embed_160k_ade20k151_finetune_ema_t20.py +2023-03-04 05:19:26,569 - mmseg - INFO - Iter [70000/160000] lr: 7.500e-05, eta: 5:18:56, time: 0.192, data_time: 0.008, memory: 59439, decode.loss_ce: 0.2041, decode.acc_seg: 91.6852, loss: 0.2041 +2023-03-04 05:19:38,873 - mmseg - INFO - Iter [70050/160000] lr: 7.500e-05, eta: 5:18:48, time: 0.246, data_time: 0.056, memory: 59439, decode.loss_ce: 0.1961, decode.acc_seg: 91.9529, loss: 0.1961 +2023-03-04 05:19:48,719 - mmseg - INFO - Iter [70100/160000] lr: 7.500e-05, eta: 5:18:36, time: 0.197, data_time: 0.008, memory: 59439, decode.loss_ce: 0.2000, decode.acc_seg: 91.9091, loss: 0.2000 +2023-03-04 05:19:58,217 - mmseg - INFO - Iter [70150/160000] lr: 7.500e-05, eta: 5:18:24, time: 0.190, data_time: 0.007, memory: 59439, decode.loss_ce: 0.1982, decode.acc_seg: 91.8783, loss: 0.1982 +2023-03-04 05:20:08,036 - mmseg - INFO - Iter [70200/160000] lr: 7.500e-05, eta: 5:18:12, time: 0.196, data_time: 0.007, memory: 59439, decode.loss_ce: 0.1949, decode.acc_seg: 92.1026, loss: 0.1949 +2023-03-04 05:20:17,589 - mmseg - INFO - Iter [70250/160000] lr: 7.500e-05, eta: 5:18:00, time: 0.191, data_time: 0.008, memory: 59439, decode.loss_ce: 0.1924, decode.acc_seg: 91.9703, loss: 0.1924 +2023-03-04 05:20:27,556 - mmseg - INFO - Iter [70300/160000] lr: 7.500e-05, eta: 5:17:49, time: 0.199, data_time: 0.008, memory: 59439, decode.loss_ce: 0.1942, decode.acc_seg: 92.0739, loss: 0.1942 +2023-03-04 05:20:37,241 - mmseg - INFO - Iter [70350/160000] lr: 7.500e-05, eta: 5:17:37, time: 0.194, data_time: 0.008, memory: 59439, decode.loss_ce: 0.1934, decode.acc_seg: 92.0209, loss: 0.1934 +2023-03-04 05:20:47,270 - mmseg - INFO - Iter [70400/160000] lr: 7.500e-05, eta: 5:17:26, time: 0.201, data_time: 0.008, memory: 59439, decode.loss_ce: 0.1840, decode.acc_seg: 92.4069, loss: 0.1840 +2023-03-04 05:20:56,988 - mmseg - INFO - Iter [70450/160000] lr: 7.500e-05, eta: 5:17:14, time: 0.194, data_time: 0.008, memory: 59439, decode.loss_ce: 0.1942, decode.acc_seg: 91.9648, loss: 0.1942 +2023-03-04 05:21:06,711 - mmseg - INFO - Iter [70500/160000] lr: 7.500e-05, eta: 5:17:02, time: 0.194, data_time: 0.008, memory: 59439, decode.loss_ce: 0.2017, decode.acc_seg: 91.7703, loss: 0.2017 +2023-03-04 05:21:16,578 - mmseg - INFO - Iter [70550/160000] lr: 7.500e-05, eta: 5:16:51, time: 0.197, data_time: 0.008, memory: 59439, decode.loss_ce: 0.1997, decode.acc_seg: 91.8183, loss: 0.1997 +2023-03-04 05:21:26,275 - mmseg - INFO - Iter [70600/160000] lr: 7.500e-05, eta: 5:16:39, time: 0.194, data_time: 0.008, memory: 59439, decode.loss_ce: 0.1966, decode.acc_seg: 91.9189, loss: 0.1966 +2023-03-04 05:21:35,991 - mmseg - INFO - Iter [70650/160000] lr: 7.500e-05, eta: 5:16:27, time: 0.194, data_time: 0.008, memory: 59439, decode.loss_ce: 0.1994, decode.acc_seg: 91.9921, loss: 0.1994 +2023-03-04 05:21:48,497 - mmseg - INFO - Iter [70700/160000] lr: 7.500e-05, eta: 5:16:19, time: 0.250, data_time: 0.057, memory: 59439, decode.loss_ce: 0.1917, decode.acc_seg: 92.0641, loss: 0.1917 +2023-03-04 05:21:58,145 - mmseg - INFO - Iter [70750/160000] lr: 7.500e-05, eta: 5:16:07, time: 0.193, data_time: 0.008, memory: 59439, decode.loss_ce: 0.1930, decode.acc_seg: 92.1800, loss: 0.1930 +2023-03-04 05:22:07,700 - mmseg - INFO - Iter [70800/160000] lr: 7.500e-05, eta: 5:15:55, time: 0.191, data_time: 0.008, memory: 59439, decode.loss_ce: 0.1947, decode.acc_seg: 91.9892, loss: 0.1947 +2023-03-04 05:22:17,471 - mmseg - INFO - Iter [70850/160000] lr: 7.500e-05, eta: 5:15:43, time: 0.195, data_time: 0.008, memory: 59439, decode.loss_ce: 0.1841, decode.acc_seg: 92.5078, loss: 0.1841 +2023-03-04 05:22:27,269 - mmseg - INFO - Iter [70900/160000] lr: 7.500e-05, eta: 5:15:31, time: 0.196, data_time: 0.008, memory: 59439, decode.loss_ce: 0.1896, decode.acc_seg: 92.2000, loss: 0.1896 +2023-03-04 05:22:36,829 - mmseg - INFO - Iter [70950/160000] lr: 7.500e-05, eta: 5:15:20, time: 0.191, data_time: 0.008, memory: 59439, decode.loss_ce: 0.1883, decode.acc_seg: 92.4258, loss: 0.1883 +2023-03-04 05:22:46,522 - mmseg - INFO - Exp name: ablation_segformer_mit_b2_segformer_head_unet_fc_small_multi_step_ade_pretrained_freeze_embed_160k_ade20k151_finetune_ema_t20.py +2023-03-04 05:22:46,522 - mmseg - INFO - Iter [71000/160000] lr: 7.500e-05, eta: 5:15:08, time: 0.194, data_time: 0.008, memory: 59439, decode.loss_ce: 0.1961, decode.acc_seg: 91.9058, loss: 0.1961 +2023-03-04 05:22:56,332 - mmseg - INFO - Iter [71050/160000] lr: 7.500e-05, eta: 5:14:56, time: 0.196, data_time: 0.008, memory: 59439, decode.loss_ce: 0.2006, decode.acc_seg: 91.6960, loss: 0.2006 +2023-03-04 05:23:06,124 - mmseg - INFO - Iter [71100/160000] lr: 7.500e-05, eta: 5:14:44, time: 0.196, data_time: 0.007, memory: 59439, decode.loss_ce: 0.1915, decode.acc_seg: 92.0741, loss: 0.1915 +2023-03-04 05:23:15,994 - mmseg - INFO - Iter [71150/160000] lr: 7.500e-05, eta: 5:14:33, time: 0.198, data_time: 0.008, memory: 59439, decode.loss_ce: 0.1924, decode.acc_seg: 92.0632, loss: 0.1924 +2023-03-04 05:23:25,851 - mmseg - INFO - Iter [71200/160000] lr: 7.500e-05, eta: 5:14:21, time: 0.197, data_time: 0.007, memory: 59439, decode.loss_ce: 0.1956, decode.acc_seg: 92.0366, loss: 0.1956 +2023-03-04 05:23:35,817 - mmseg - INFO - Iter [71250/160000] lr: 7.500e-05, eta: 5:14:10, time: 0.199, data_time: 0.007, memory: 59439, decode.loss_ce: 0.1958, decode.acc_seg: 92.0791, loss: 0.1958 +2023-03-04 05:23:45,408 - mmseg - INFO - Iter [71300/160000] lr: 7.500e-05, eta: 5:13:58, time: 0.192, data_time: 0.008, memory: 59439, decode.loss_ce: 0.1973, decode.acc_seg: 91.8656, loss: 0.1973 +2023-03-04 05:23:57,478 - mmseg - INFO - Iter [71350/160000] lr: 7.500e-05, eta: 5:13:49, time: 0.241, data_time: 0.055, memory: 59439, decode.loss_ce: 0.1935, decode.acc_seg: 92.0262, loss: 0.1935 +2023-03-04 05:24:07,182 - mmseg - INFO - Iter [71400/160000] lr: 7.500e-05, eta: 5:13:37, time: 0.194, data_time: 0.008, memory: 59439, decode.loss_ce: 0.1943, decode.acc_seg: 92.1993, loss: 0.1943 +2023-03-04 05:24:16,894 - mmseg - INFO - Iter [71450/160000] lr: 7.500e-05, eta: 5:13:26, time: 0.194, data_time: 0.008, memory: 59439, decode.loss_ce: 0.1954, decode.acc_seg: 92.0670, loss: 0.1954 +2023-03-04 05:24:26,567 - mmseg - INFO - Iter [71500/160000] lr: 7.500e-05, eta: 5:13:14, time: 0.193, data_time: 0.008, memory: 59439, decode.loss_ce: 0.1955, decode.acc_seg: 92.0640, loss: 0.1955 +2023-03-04 05:24:36,401 - mmseg - INFO - Iter [71550/160000] lr: 7.500e-05, eta: 5:13:02, time: 0.197, data_time: 0.008, memory: 59439, decode.loss_ce: 0.2008, decode.acc_seg: 91.8630, loss: 0.2008 +2023-03-04 05:24:46,226 - mmseg - INFO - Iter [71600/160000] lr: 7.500e-05, eta: 5:12:51, time: 0.197, data_time: 0.008, memory: 59439, decode.loss_ce: 0.1907, decode.acc_seg: 92.1692, loss: 0.1907 +2023-03-04 05:24:56,460 - mmseg - INFO - Iter [71650/160000] lr: 7.500e-05, eta: 5:12:40, time: 0.205, data_time: 0.007, memory: 59439, decode.loss_ce: 0.1933, decode.acc_seg: 92.1336, loss: 0.1933 +2023-03-04 05:25:06,023 - mmseg - INFO - Iter [71700/160000] lr: 7.500e-05, eta: 5:12:28, time: 0.191, data_time: 0.008, memory: 59439, decode.loss_ce: 0.1946, decode.acc_seg: 92.0219, loss: 0.1946 +2023-03-04 05:25:15,846 - mmseg - INFO - Iter [71750/160000] lr: 7.500e-05, eta: 5:12:16, time: 0.196, data_time: 0.008, memory: 59439, decode.loss_ce: 0.1858, decode.acc_seg: 92.2403, loss: 0.1858 +2023-03-04 05:25:25,478 - mmseg - INFO - Iter [71800/160000] lr: 7.500e-05, eta: 5:12:04, time: 0.193, data_time: 0.008, memory: 59439, decode.loss_ce: 0.1933, decode.acc_seg: 92.1215, loss: 0.1933 +2023-03-04 05:25:35,162 - mmseg - INFO - Iter [71850/160000] lr: 7.500e-05, eta: 5:11:52, time: 0.194, data_time: 0.008, memory: 59439, decode.loss_ce: 0.2011, decode.acc_seg: 91.7570, loss: 0.2011 +2023-03-04 05:25:44,688 - mmseg - INFO - Iter [71900/160000] lr: 7.500e-05, eta: 5:11:41, time: 0.191, data_time: 0.008, memory: 59439, decode.loss_ce: 0.1972, decode.acc_seg: 91.8475, loss: 0.1972 +2023-03-04 05:25:56,754 - mmseg - INFO - Iter [71950/160000] lr: 7.500e-05, eta: 5:11:32, time: 0.241, data_time: 0.054, memory: 59439, decode.loss_ce: 0.1913, decode.acc_seg: 92.1775, loss: 0.1913 +2023-03-04 05:26:06,286 - mmseg - INFO - Exp name: ablation_segformer_mit_b2_segformer_head_unet_fc_small_multi_step_ade_pretrained_freeze_embed_160k_ade20k151_finetune_ema_t20.py +2023-03-04 05:26:06,287 - mmseg - INFO - Iter [72000/160000] lr: 7.500e-05, eta: 5:11:20, time: 0.191, data_time: 0.008, memory: 59439, decode.loss_ce: 0.2038, decode.acc_seg: 91.7024, loss: 0.2038 +2023-03-04 05:26:15,873 - mmseg - INFO - Iter [72050/160000] lr: 7.500e-05, eta: 5:11:08, time: 0.192, data_time: 0.008, memory: 59439, decode.loss_ce: 0.1942, decode.acc_seg: 92.0316, loss: 0.1942 +2023-03-04 05:26:25,469 - mmseg - INFO - Iter [72100/160000] lr: 7.500e-05, eta: 5:10:56, time: 0.192, data_time: 0.008, memory: 59439, decode.loss_ce: 0.1929, decode.acc_seg: 92.0706, loss: 0.1929 +2023-03-04 05:26:35,076 - mmseg - INFO - Iter [72150/160000] lr: 7.500e-05, eta: 5:10:44, time: 0.192, data_time: 0.008, memory: 59439, decode.loss_ce: 0.1888, decode.acc_seg: 92.1460, loss: 0.1888 +2023-03-04 05:26:44,830 - mmseg - INFO - Iter [72200/160000] lr: 7.500e-05, eta: 5:10:33, time: 0.195, data_time: 0.007, memory: 59439, decode.loss_ce: 0.2004, decode.acc_seg: 91.9554, loss: 0.2004 +2023-03-04 05:26:54,503 - mmseg - INFO - Iter [72250/160000] lr: 7.500e-05, eta: 5:10:21, time: 0.193, data_time: 0.008, memory: 59439, decode.loss_ce: 0.1969, decode.acc_seg: 91.9803, loss: 0.1969 +2023-03-04 05:27:04,282 - mmseg - INFO - Iter [72300/160000] lr: 7.500e-05, eta: 5:10:09, time: 0.195, data_time: 0.008, memory: 59439, decode.loss_ce: 0.2004, decode.acc_seg: 91.9502, loss: 0.2004 +2023-03-04 05:27:13,918 - mmseg - INFO - Iter [72350/160000] lr: 7.500e-05, eta: 5:09:57, time: 0.193, data_time: 0.008, memory: 59439, decode.loss_ce: 0.1923, decode.acc_seg: 92.1384, loss: 0.1923 +2023-03-04 05:27:23,481 - mmseg - INFO - Iter [72400/160000] lr: 7.500e-05, eta: 5:09:46, time: 0.191, data_time: 0.008, memory: 59439, decode.loss_ce: 0.2007, decode.acc_seg: 91.8423, loss: 0.2007 +2023-03-04 05:27:33,050 - mmseg - INFO - Iter [72450/160000] lr: 7.500e-05, eta: 5:09:34, time: 0.191, data_time: 0.008, memory: 59439, decode.loss_ce: 0.1975, decode.acc_seg: 91.9208, loss: 0.1975 +2023-03-04 05:27:42,555 - mmseg - INFO - Iter [72500/160000] lr: 7.500e-05, eta: 5:09:22, time: 0.190, data_time: 0.008, memory: 59439, decode.loss_ce: 0.2028, decode.acc_seg: 91.7413, loss: 0.2028 +2023-03-04 05:27:52,198 - mmseg - INFO - Iter [72550/160000] lr: 7.500e-05, eta: 5:09:10, time: 0.193, data_time: 0.008, memory: 59439, decode.loss_ce: 0.1996, decode.acc_seg: 91.8193, loss: 0.1996 +2023-03-04 05:28:04,560 - mmseg - INFO - Iter [72600/160000] lr: 7.500e-05, eta: 5:09:01, time: 0.247, data_time: 0.053, memory: 59439, decode.loss_ce: 0.1918, decode.acc_seg: 92.0759, loss: 0.1918 +2023-03-04 05:28:14,296 - mmseg - INFO - Iter [72650/160000] lr: 7.500e-05, eta: 5:08:50, time: 0.195, data_time: 0.008, memory: 59439, decode.loss_ce: 0.1967, decode.acc_seg: 91.9386, loss: 0.1967 +2023-03-04 05:28:23,902 - mmseg - INFO - Iter [72700/160000] lr: 7.500e-05, eta: 5:08:38, time: 0.192, data_time: 0.008, memory: 59439, decode.loss_ce: 0.1893, decode.acc_seg: 92.2547, loss: 0.1893 +2023-03-04 05:28:34,049 - mmseg - INFO - Iter [72750/160000] lr: 7.500e-05, eta: 5:08:27, time: 0.203, data_time: 0.007, memory: 59439, decode.loss_ce: 0.1939, decode.acc_seg: 92.1562, loss: 0.1939 +2023-03-04 05:28:43,774 - mmseg - INFO - Iter [72800/160000] lr: 7.500e-05, eta: 5:08:15, time: 0.194, data_time: 0.008, memory: 59439, decode.loss_ce: 0.1998, decode.acc_seg: 92.0066, loss: 0.1998 +2023-03-04 05:28:53,750 - mmseg - INFO - Iter [72850/160000] lr: 7.500e-05, eta: 5:08:04, time: 0.200, data_time: 0.008, memory: 59439, decode.loss_ce: 0.1962, decode.acc_seg: 91.9639, loss: 0.1962 +2023-03-04 05:29:03,768 - mmseg - INFO - Iter [72900/160000] lr: 7.500e-05, eta: 5:07:53, time: 0.200, data_time: 0.007, memory: 59439, decode.loss_ce: 0.1915, decode.acc_seg: 92.0767, loss: 0.1915 +2023-03-04 05:29:13,459 - mmseg - INFO - Iter [72950/160000] lr: 7.500e-05, eta: 5:07:41, time: 0.194, data_time: 0.008, memory: 59439, decode.loss_ce: 0.1894, decode.acc_seg: 92.2290, loss: 0.1894 +2023-03-04 05:29:22,993 - mmseg - INFO - Exp name: ablation_segformer_mit_b2_segformer_head_unet_fc_small_multi_step_ade_pretrained_freeze_embed_160k_ade20k151_finetune_ema_t20.py +2023-03-04 05:29:22,994 - mmseg - INFO - Iter [73000/160000] lr: 7.500e-05, eta: 5:07:29, time: 0.191, data_time: 0.008, memory: 59439, decode.loss_ce: 0.2000, decode.acc_seg: 91.8138, loss: 0.2000 +2023-03-04 05:29:32,573 - mmseg - INFO - Iter [73050/160000] lr: 7.500e-05, eta: 5:07:17, time: 0.192, data_time: 0.008, memory: 59439, decode.loss_ce: 0.2002, decode.acc_seg: 91.9039, loss: 0.2002 +2023-03-04 05:29:42,201 - mmseg - INFO - Iter [73100/160000] lr: 7.500e-05, eta: 5:07:05, time: 0.193, data_time: 0.007, memory: 59439, decode.loss_ce: 0.2084, decode.acc_seg: 91.4830, loss: 0.2084 +2023-03-04 05:29:51,984 - mmseg - INFO - Iter [73150/160000] lr: 7.500e-05, eta: 5:06:54, time: 0.195, data_time: 0.008, memory: 59439, decode.loss_ce: 0.2032, decode.acc_seg: 91.7660, loss: 0.2032 +2023-03-04 05:30:04,102 - mmseg - INFO - Iter [73200/160000] lr: 7.500e-05, eta: 5:06:45, time: 0.243, data_time: 0.056, memory: 59439, decode.loss_ce: 0.1927, decode.acc_seg: 92.0434, loss: 0.1927 +2023-03-04 05:30:13,645 - mmseg - INFO - Iter [73250/160000] lr: 7.500e-05, eta: 5:06:33, time: 0.191, data_time: 0.008, memory: 59439, decode.loss_ce: 0.1968, decode.acc_seg: 92.0030, loss: 0.1968 +2023-03-04 05:30:23,220 - mmseg - INFO - Iter [73300/160000] lr: 7.500e-05, eta: 5:06:21, time: 0.192, data_time: 0.008, memory: 59439, decode.loss_ce: 0.2049, decode.acc_seg: 91.8856, loss: 0.2049 +2023-03-04 05:30:32,724 - mmseg - INFO - Iter [73350/160000] lr: 7.500e-05, eta: 5:06:09, time: 0.190, data_time: 0.008, memory: 59439, decode.loss_ce: 0.1916, decode.acc_seg: 92.1424, loss: 0.1916 +2023-03-04 05:30:42,209 - mmseg - INFO - Iter [73400/160000] lr: 7.500e-05, eta: 5:05:57, time: 0.190, data_time: 0.008, memory: 59439, decode.loss_ce: 0.1861, decode.acc_seg: 92.2911, loss: 0.1861 +2023-03-04 05:30:51,701 - mmseg - INFO - Iter [73450/160000] lr: 7.500e-05, eta: 5:05:46, time: 0.190, data_time: 0.008, memory: 59439, decode.loss_ce: 0.1967, decode.acc_seg: 91.9809, loss: 0.1967 +2023-03-04 05:31:01,226 - mmseg - INFO - Iter [73500/160000] lr: 7.500e-05, eta: 5:05:34, time: 0.191, data_time: 0.008, memory: 59439, decode.loss_ce: 0.1919, decode.acc_seg: 92.1129, loss: 0.1919 +2023-03-04 05:31:10,840 - mmseg - INFO - Iter [73550/160000] lr: 7.500e-05, eta: 5:05:22, time: 0.192, data_time: 0.008, memory: 59439, decode.loss_ce: 0.1952, decode.acc_seg: 91.9669, loss: 0.1952 +2023-03-04 05:31:20,450 - mmseg - INFO - Iter [73600/160000] lr: 7.500e-05, eta: 5:05:10, time: 0.192, data_time: 0.008, memory: 59439, decode.loss_ce: 0.2046, decode.acc_seg: 91.8102, loss: 0.2046 +2023-03-04 05:31:30,168 - mmseg - INFO - Iter [73650/160000] lr: 7.500e-05, eta: 5:04:59, time: 0.194, data_time: 0.008, memory: 59439, decode.loss_ce: 0.1931, decode.acc_seg: 92.1544, loss: 0.1931 +2023-03-04 05:31:39,842 - mmseg - INFO - Iter [73700/160000] lr: 7.500e-05, eta: 5:04:47, time: 0.193, data_time: 0.008, memory: 59439, decode.loss_ce: 0.1905, decode.acc_seg: 92.1403, loss: 0.1905 +2023-03-04 05:31:49,627 - mmseg - INFO - Iter [73750/160000] lr: 7.500e-05, eta: 5:04:35, time: 0.196, data_time: 0.008, memory: 59439, decode.loss_ce: 0.2076, decode.acc_seg: 91.5345, loss: 0.2076 +2023-03-04 05:31:59,103 - mmseg - INFO - Iter [73800/160000] lr: 7.500e-05, eta: 5:04:23, time: 0.190, data_time: 0.008, memory: 59439, decode.loss_ce: 0.1960, decode.acc_seg: 91.9971, loss: 0.1960 +2023-03-04 05:32:11,203 - mmseg - INFO - Iter [73850/160000] lr: 7.500e-05, eta: 5:04:15, time: 0.242, data_time: 0.054, memory: 59439, decode.loss_ce: 0.2027, decode.acc_seg: 91.6591, loss: 0.2027 +2023-03-04 05:32:20,694 - mmseg - INFO - Iter [73900/160000] lr: 7.500e-05, eta: 5:04:03, time: 0.190, data_time: 0.008, memory: 59439, decode.loss_ce: 0.1919, decode.acc_seg: 92.0452, loss: 0.1919 +2023-03-04 05:32:30,714 - mmseg - INFO - Iter [73950/160000] lr: 7.500e-05, eta: 5:03:51, time: 0.200, data_time: 0.007, memory: 59439, decode.loss_ce: 0.2009, decode.acc_seg: 91.8184, loss: 0.2009 +2023-03-04 05:32:40,509 - mmseg - INFO - Exp name: ablation_segformer_mit_b2_segformer_head_unet_fc_small_multi_step_ade_pretrained_freeze_embed_160k_ade20k151_finetune_ema_t20.py +2023-03-04 05:32:40,510 - mmseg - INFO - Iter [74000/160000] lr: 7.500e-05, eta: 5:03:40, time: 0.196, data_time: 0.008, memory: 59439, decode.loss_ce: 0.1932, decode.acc_seg: 91.8889, loss: 0.1932 +2023-03-04 05:32:50,175 - mmseg - INFO - Iter [74050/160000] lr: 7.500e-05, eta: 5:03:28, time: 0.193, data_time: 0.008, memory: 59439, decode.loss_ce: 0.1934, decode.acc_seg: 92.0016, loss: 0.1934 +2023-03-04 05:32:59,969 - mmseg - INFO - Iter [74100/160000] lr: 7.500e-05, eta: 5:03:17, time: 0.196, data_time: 0.008, memory: 59439, decode.loss_ce: 0.1940, decode.acc_seg: 91.9890, loss: 0.1940 +2023-03-04 05:33:09,551 - mmseg - INFO - Iter [74150/160000] lr: 7.500e-05, eta: 5:03:05, time: 0.192, data_time: 0.008, memory: 59439, decode.loss_ce: 0.1990, decode.acc_seg: 91.9062, loss: 0.1990 +2023-03-04 05:33:19,169 - mmseg - INFO - Iter [74200/160000] lr: 7.500e-05, eta: 5:02:53, time: 0.192, data_time: 0.008, memory: 59439, decode.loss_ce: 0.1971, decode.acc_seg: 91.9060, loss: 0.1971 +2023-03-04 05:33:28,697 - mmseg - INFO - Iter [74250/160000] lr: 7.500e-05, eta: 5:02:41, time: 0.191, data_time: 0.008, memory: 59439, decode.loss_ce: 0.1919, decode.acc_seg: 92.0523, loss: 0.1919 +2023-03-04 05:33:38,323 - mmseg - INFO - Iter [74300/160000] lr: 7.500e-05, eta: 5:02:30, time: 0.193, data_time: 0.008, memory: 59439, decode.loss_ce: 0.1834, decode.acc_seg: 92.4157, loss: 0.1834 +2023-03-04 05:33:47,976 - mmseg - INFO - Iter [74350/160000] lr: 7.500e-05, eta: 5:02:18, time: 0.193, data_time: 0.008, memory: 59439, decode.loss_ce: 0.2000, decode.acc_seg: 91.9628, loss: 0.2000 +2023-03-04 05:33:57,600 - mmseg - INFO - Iter [74400/160000] lr: 7.500e-05, eta: 5:02:06, time: 0.192, data_time: 0.008, memory: 59439, decode.loss_ce: 0.1897, decode.acc_seg: 92.2272, loss: 0.1897 +2023-03-04 05:34:07,488 - mmseg - INFO - Iter [74450/160000] lr: 7.500e-05, eta: 5:01:55, time: 0.198, data_time: 0.008, memory: 59439, decode.loss_ce: 0.1953, decode.acc_seg: 92.1083, loss: 0.1953 +2023-03-04 05:34:19,846 - mmseg - INFO - Iter [74500/160000] lr: 7.500e-05, eta: 5:01:46, time: 0.247, data_time: 0.056, memory: 59439, decode.loss_ce: 0.1916, decode.acc_seg: 92.0515, loss: 0.1916 +2023-03-04 05:34:29,522 - mmseg - INFO - Iter [74550/160000] lr: 7.500e-05, eta: 5:01:35, time: 0.193, data_time: 0.008, memory: 59439, decode.loss_ce: 0.1935, decode.acc_seg: 92.1326, loss: 0.1935 +2023-03-04 05:34:39,453 - mmseg - INFO - Iter [74600/160000] lr: 7.500e-05, eta: 5:01:23, time: 0.199, data_time: 0.008, memory: 59439, decode.loss_ce: 0.2022, decode.acc_seg: 91.7830, loss: 0.2022 +2023-03-04 05:34:49,219 - mmseg - INFO - Iter [74650/160000] lr: 7.500e-05, eta: 5:01:12, time: 0.195, data_time: 0.008, memory: 59439, decode.loss_ce: 0.2011, decode.acc_seg: 91.7657, loss: 0.2011 +2023-03-04 05:34:58,845 - mmseg - INFO - Iter [74700/160000] lr: 7.500e-05, eta: 5:01:00, time: 0.193, data_time: 0.007, memory: 59439, decode.loss_ce: 0.1960, decode.acc_seg: 92.0104, loss: 0.1960 +2023-03-04 05:35:08,662 - mmseg - INFO - Iter [74750/160000] lr: 7.500e-05, eta: 5:00:49, time: 0.196, data_time: 0.007, memory: 59439, decode.loss_ce: 0.2033, decode.acc_seg: 91.7632, loss: 0.2033 +2023-03-04 05:35:18,224 - mmseg - INFO - Iter [74800/160000] lr: 7.500e-05, eta: 5:00:37, time: 0.191, data_time: 0.008, memory: 59439, decode.loss_ce: 0.1962, decode.acc_seg: 92.0330, loss: 0.1962 +2023-03-04 05:35:28,195 - mmseg - INFO - Iter [74850/160000] lr: 7.500e-05, eta: 5:00:26, time: 0.199, data_time: 0.008, memory: 59439, decode.loss_ce: 0.1929, decode.acc_seg: 92.1510, loss: 0.1929 +2023-03-04 05:35:37,951 - mmseg - INFO - Iter [74900/160000] lr: 7.500e-05, eta: 5:00:14, time: 0.195, data_time: 0.008, memory: 59439, decode.loss_ce: 0.1980, decode.acc_seg: 91.9292, loss: 0.1980 +2023-03-04 05:35:47,499 - mmseg - INFO - Iter [74950/160000] lr: 7.500e-05, eta: 5:00:02, time: 0.191, data_time: 0.008, memory: 59439, decode.loss_ce: 0.1975, decode.acc_seg: 91.9126, loss: 0.1975 +2023-03-04 05:35:57,361 - mmseg - INFO - Exp name: ablation_segformer_mit_b2_segformer_head_unet_fc_small_multi_step_ade_pretrained_freeze_embed_160k_ade20k151_finetune_ema_t20.py +2023-03-04 05:35:57,362 - mmseg - INFO - Iter [75000/160000] lr: 7.500e-05, eta: 4:59:51, time: 0.197, data_time: 0.008, memory: 59439, decode.loss_ce: 0.2004, decode.acc_seg: 91.7552, loss: 0.2004 +2023-03-04 05:36:06,820 - mmseg - INFO - Iter [75050/160000] lr: 7.500e-05, eta: 4:59:39, time: 0.189, data_time: 0.008, memory: 59439, decode.loss_ce: 0.1954, decode.acc_seg: 92.0196, loss: 0.1954 +2023-03-04 05:36:18,896 - mmseg - INFO - Iter [75100/160000] lr: 7.500e-05, eta: 4:59:30, time: 0.242, data_time: 0.056, memory: 59439, decode.loss_ce: 0.1931, decode.acc_seg: 91.9613, loss: 0.1931 +2023-03-04 05:36:28,752 - mmseg - INFO - Iter [75150/160000] lr: 7.500e-05, eta: 4:59:19, time: 0.197, data_time: 0.008, memory: 59439, decode.loss_ce: 0.2045, decode.acc_seg: 91.5775, loss: 0.2045 +2023-03-04 05:36:39,048 - mmseg - INFO - Iter [75200/160000] lr: 7.500e-05, eta: 4:59:08, time: 0.206, data_time: 0.008, memory: 59439, decode.loss_ce: 0.1998, decode.acc_seg: 91.8565, loss: 0.1998 +2023-03-04 05:36:48,804 - mmseg - INFO - Iter [75250/160000] lr: 7.500e-05, eta: 4:58:56, time: 0.195, data_time: 0.007, memory: 59439, decode.loss_ce: 0.1940, decode.acc_seg: 92.0336, loss: 0.1940 +2023-03-04 05:36:58,548 - mmseg - INFO - Iter [75300/160000] lr: 7.500e-05, eta: 4:58:45, time: 0.195, data_time: 0.008, memory: 59439, decode.loss_ce: 0.1920, decode.acc_seg: 92.2538, loss: 0.1920 +2023-03-04 05:37:08,301 - mmseg - INFO - Iter [75350/160000] lr: 7.500e-05, eta: 4:58:33, time: 0.195, data_time: 0.008, memory: 59439, decode.loss_ce: 0.1912, decode.acc_seg: 92.2550, loss: 0.1912 +2023-03-04 05:37:17,814 - mmseg - INFO - Iter [75400/160000] lr: 7.500e-05, eta: 4:58:22, time: 0.190, data_time: 0.008, memory: 59439, decode.loss_ce: 0.1913, decode.acc_seg: 92.0644, loss: 0.1913 +2023-03-04 05:37:27,417 - mmseg - INFO - Iter [75450/160000] lr: 7.500e-05, eta: 4:58:10, time: 0.192, data_time: 0.008, memory: 59439, decode.loss_ce: 0.1897, decode.acc_seg: 92.1906, loss: 0.1897 +2023-03-04 05:37:36,999 - mmseg - INFO - Iter [75500/160000] lr: 7.500e-05, eta: 4:57:58, time: 0.192, data_time: 0.008, memory: 59439, decode.loss_ce: 0.2052, decode.acc_seg: 91.5788, loss: 0.2052 +2023-03-04 05:37:46,690 - mmseg - INFO - Iter [75550/160000] lr: 7.500e-05, eta: 4:57:47, time: 0.194, data_time: 0.008, memory: 59439, decode.loss_ce: 0.2006, decode.acc_seg: 91.7873, loss: 0.2006 +2023-03-04 05:37:56,358 - mmseg - INFO - Iter [75600/160000] lr: 7.500e-05, eta: 4:57:35, time: 0.193, data_time: 0.008, memory: 59439, decode.loss_ce: 0.1927, decode.acc_seg: 91.9942, loss: 0.1927 +2023-03-04 05:38:06,231 - mmseg - INFO - Iter [75650/160000] lr: 7.500e-05, eta: 4:57:24, time: 0.197, data_time: 0.008, memory: 59439, decode.loss_ce: 0.1935, decode.acc_seg: 92.0528, loss: 0.1935 +2023-03-04 05:38:15,907 - mmseg - INFO - Iter [75700/160000] lr: 7.500e-05, eta: 4:57:12, time: 0.194, data_time: 0.008, memory: 59439, decode.loss_ce: 0.1924, decode.acc_seg: 92.0455, loss: 0.1924 +2023-03-04 05:38:28,247 - mmseg - INFO - Iter [75750/160000] lr: 7.500e-05, eta: 4:57:04, time: 0.247, data_time: 0.056, memory: 59439, decode.loss_ce: 0.1950, decode.acc_seg: 91.9632, loss: 0.1950 +2023-03-04 05:38:37,728 - mmseg - INFO - Iter [75800/160000] lr: 7.500e-05, eta: 4:56:52, time: 0.190, data_time: 0.008, memory: 59439, decode.loss_ce: 0.1921, decode.acc_seg: 92.1999, loss: 0.1921 +2023-03-04 05:38:47,977 - mmseg - INFO - Iter [75850/160000] lr: 7.500e-05, eta: 4:56:41, time: 0.205, data_time: 0.007, memory: 59439, decode.loss_ce: 0.1960, decode.acc_seg: 92.0350, loss: 0.1960 +2023-03-04 05:38:57,811 - mmseg - INFO - Iter [75900/160000] lr: 7.500e-05, eta: 4:56:29, time: 0.197, data_time: 0.008, memory: 59439, decode.loss_ce: 0.1848, decode.acc_seg: 92.3989, loss: 0.1848 +2023-03-04 05:39:07,532 - mmseg - INFO - Iter [75950/160000] lr: 7.500e-05, eta: 4:56:18, time: 0.194, data_time: 0.008, memory: 59439, decode.loss_ce: 0.2010, decode.acc_seg: 91.7715, loss: 0.2010 +2023-03-04 05:39:17,032 - mmseg - INFO - Exp name: ablation_segformer_mit_b2_segformer_head_unet_fc_small_multi_step_ade_pretrained_freeze_embed_160k_ade20k151_finetune_ema_t20.py +2023-03-04 05:39:17,032 - mmseg - INFO - Iter [76000/160000] lr: 7.500e-05, eta: 4:56:06, time: 0.190, data_time: 0.008, memory: 59439, decode.loss_ce: 0.1908, decode.acc_seg: 92.0813, loss: 0.1908 +2023-03-04 05:39:26,874 - mmseg - INFO - Iter [76050/160000] lr: 7.500e-05, eta: 4:55:55, time: 0.197, data_time: 0.007, memory: 59439, decode.loss_ce: 0.1912, decode.acc_seg: 92.2025, loss: 0.1912 +2023-03-04 05:39:36,576 - mmseg - INFO - Iter [76100/160000] lr: 7.500e-05, eta: 4:55:43, time: 0.194, data_time: 0.008, memory: 59439, decode.loss_ce: 0.2020, decode.acc_seg: 91.8222, loss: 0.2020 +2023-03-04 05:39:46,169 - mmseg - INFO - Iter [76150/160000] lr: 7.500e-05, eta: 4:55:32, time: 0.192, data_time: 0.008, memory: 59439, decode.loss_ce: 0.1907, decode.acc_seg: 92.0359, loss: 0.1907 +2023-03-04 05:39:55,853 - mmseg - INFO - Iter [76200/160000] lr: 7.500e-05, eta: 4:55:20, time: 0.194, data_time: 0.007, memory: 59439, decode.loss_ce: 0.1995, decode.acc_seg: 91.9872, loss: 0.1995 +2023-03-04 05:40:05,503 - mmseg - INFO - Iter [76250/160000] lr: 7.500e-05, eta: 4:55:08, time: 0.193, data_time: 0.008, memory: 59439, decode.loss_ce: 0.1963, decode.acc_seg: 92.1300, loss: 0.1963 +2023-03-04 05:40:15,030 - mmseg - INFO - Iter [76300/160000] lr: 7.500e-05, eta: 4:54:57, time: 0.191, data_time: 0.008, memory: 59439, decode.loss_ce: 0.1951, decode.acc_seg: 91.9919, loss: 0.1951 +2023-03-04 05:40:24,567 - mmseg - INFO - Iter [76350/160000] lr: 7.500e-05, eta: 4:54:45, time: 0.191, data_time: 0.008, memory: 59439, decode.loss_ce: 0.1928, decode.acc_seg: 92.0351, loss: 0.1928 +2023-03-04 05:40:36,753 - mmseg - INFO - Iter [76400/160000] lr: 7.500e-05, eta: 4:54:36, time: 0.243, data_time: 0.056, memory: 59439, decode.loss_ce: 0.1963, decode.acc_seg: 91.9374, loss: 0.1963 +2023-03-04 05:40:46,392 - mmseg - INFO - Iter [76450/160000] lr: 7.500e-05, eta: 4:54:25, time: 0.193, data_time: 0.008, memory: 59439, decode.loss_ce: 0.1930, decode.acc_seg: 92.1059, loss: 0.1930 +2023-03-04 05:40:56,225 - mmseg - INFO - Iter [76500/160000] lr: 7.500e-05, eta: 4:54:13, time: 0.197, data_time: 0.008, memory: 59439, decode.loss_ce: 0.1969, decode.acc_seg: 91.7631, loss: 0.1969 +2023-03-04 05:41:05,824 - mmseg - INFO - Iter [76550/160000] lr: 7.500e-05, eta: 4:54:02, time: 0.192, data_time: 0.008, memory: 59439, decode.loss_ce: 0.1937, decode.acc_seg: 91.9826, loss: 0.1937 +2023-03-04 05:41:15,805 - mmseg - INFO - Iter [76600/160000] lr: 7.500e-05, eta: 4:53:50, time: 0.199, data_time: 0.008, memory: 59439, decode.loss_ce: 0.1890, decode.acc_seg: 92.1897, loss: 0.1890 +2023-03-04 05:41:25,434 - mmseg - INFO - Iter [76650/160000] lr: 7.500e-05, eta: 4:53:39, time: 0.193, data_time: 0.008, memory: 59439, decode.loss_ce: 0.1969, decode.acc_seg: 91.8478, loss: 0.1969 +2023-03-04 05:41:35,289 - mmseg - INFO - Iter [76700/160000] lr: 7.500e-05, eta: 4:53:27, time: 0.197, data_time: 0.008, memory: 59439, decode.loss_ce: 0.1927, decode.acc_seg: 92.0434, loss: 0.1927 +2023-03-04 05:41:44,991 - mmseg - INFO - Iter [76750/160000] lr: 7.500e-05, eta: 4:53:16, time: 0.194, data_time: 0.008, memory: 59439, decode.loss_ce: 0.1878, decode.acc_seg: 92.1778, loss: 0.1878 +2023-03-04 05:41:54,779 - mmseg - INFO - Iter [76800/160000] lr: 7.500e-05, eta: 4:53:05, time: 0.196, data_time: 0.007, memory: 59439, decode.loss_ce: 0.1899, decode.acc_seg: 92.1812, loss: 0.1899 +2023-03-04 05:42:04,523 - mmseg - INFO - Iter [76850/160000] lr: 7.500e-05, eta: 4:52:53, time: 0.195, data_time: 0.008, memory: 59439, decode.loss_ce: 0.1927, decode.acc_seg: 92.0332, loss: 0.1927 +2023-03-04 05:42:14,167 - mmseg - INFO - Iter [76900/160000] lr: 7.500e-05, eta: 4:52:41, time: 0.193, data_time: 0.008, memory: 59439, decode.loss_ce: 0.1972, decode.acc_seg: 91.9255, loss: 0.1972 +2023-03-04 05:42:23,677 - mmseg - INFO - Iter [76950/160000] lr: 7.500e-05, eta: 4:52:30, time: 0.190, data_time: 0.008, memory: 59439, decode.loss_ce: 0.1943, decode.acc_seg: 92.0718, loss: 0.1943 +2023-03-04 05:42:35,983 - mmseg - INFO - Exp name: ablation_segformer_mit_b2_segformer_head_unet_fc_small_multi_step_ade_pretrained_freeze_embed_160k_ade20k151_finetune_ema_t20.py +2023-03-04 05:42:35,983 - mmseg - INFO - Iter [77000/160000] lr: 7.500e-05, eta: 4:52:21, time: 0.246, data_time: 0.055, memory: 59439, decode.loss_ce: 0.1947, decode.acc_seg: 92.0977, loss: 0.1947 +2023-03-04 05:42:45,598 - mmseg - INFO - Iter [77050/160000] lr: 7.500e-05, eta: 4:52:10, time: 0.192, data_time: 0.007, memory: 59439, decode.loss_ce: 0.1956, decode.acc_seg: 91.9741, loss: 0.1956 +2023-03-04 05:42:55,161 - mmseg - INFO - Iter [77100/160000] lr: 7.500e-05, eta: 4:51:58, time: 0.191, data_time: 0.008, memory: 59439, decode.loss_ce: 0.1971, decode.acc_seg: 91.9252, loss: 0.1971 +2023-03-04 05:43:05,109 - mmseg - INFO - Iter [77150/160000] lr: 7.500e-05, eta: 4:51:47, time: 0.199, data_time: 0.008, memory: 59439, decode.loss_ce: 0.1925, decode.acc_seg: 91.9831, loss: 0.1925 +2023-03-04 05:43:14,709 - mmseg - INFO - Iter [77200/160000] lr: 7.500e-05, eta: 4:51:35, time: 0.192, data_time: 0.008, memory: 59439, decode.loss_ce: 0.1847, decode.acc_seg: 92.3795, loss: 0.1847 +2023-03-04 05:43:24,498 - mmseg - INFO - Iter [77250/160000] lr: 7.500e-05, eta: 4:51:24, time: 0.196, data_time: 0.008, memory: 59439, decode.loss_ce: 0.1917, decode.acc_seg: 92.0472, loss: 0.1917 +2023-03-04 05:43:34,054 - mmseg - INFO - Iter [77300/160000] lr: 7.500e-05, eta: 4:51:12, time: 0.191, data_time: 0.008, memory: 59439, decode.loss_ce: 0.1981, decode.acc_seg: 91.9292, loss: 0.1981 +2023-03-04 05:43:43,594 - mmseg - INFO - Iter [77350/160000] lr: 7.500e-05, eta: 4:51:00, time: 0.191, data_time: 0.008, memory: 59439, decode.loss_ce: 0.2009, decode.acc_seg: 91.8511, loss: 0.2009 +2023-03-04 05:43:53,249 - mmseg - INFO - Iter [77400/160000] lr: 7.500e-05, eta: 4:50:49, time: 0.193, data_time: 0.008, memory: 59439, decode.loss_ce: 0.1905, decode.acc_seg: 92.1163, loss: 0.1905 +2023-03-04 05:44:02,871 - mmseg - INFO - Iter [77450/160000] lr: 7.500e-05, eta: 4:50:37, time: 0.192, data_time: 0.007, memory: 59439, decode.loss_ce: 0.1976, decode.acc_seg: 91.8496, loss: 0.1976 +2023-03-04 05:44:12,438 - mmseg - INFO - Iter [77500/160000] lr: 7.500e-05, eta: 4:50:26, time: 0.191, data_time: 0.008, memory: 59439, decode.loss_ce: 0.1890, decode.acc_seg: 92.3142, loss: 0.1890 +2023-03-04 05:44:22,122 - mmseg - INFO - Iter [77550/160000] lr: 7.500e-05, eta: 4:50:14, time: 0.194, data_time: 0.008, memory: 59439, decode.loss_ce: 0.1992, decode.acc_seg: 92.0058, loss: 0.1992 +2023-03-04 05:44:32,172 - mmseg - INFO - Iter [77600/160000] lr: 7.500e-05, eta: 4:50:03, time: 0.201, data_time: 0.008, memory: 59439, decode.loss_ce: 0.1859, decode.acc_seg: 92.3177, loss: 0.1859 +2023-03-04 05:44:44,590 - mmseg - INFO - Iter [77650/160000] lr: 7.500e-05, eta: 4:49:54, time: 0.248, data_time: 0.055, memory: 59439, decode.loss_ce: 0.1939, decode.acc_seg: 92.0690, loss: 0.1939 +2023-03-04 05:44:54,261 - mmseg - INFO - Iter [77700/160000] lr: 7.500e-05, eta: 4:49:43, time: 0.193, data_time: 0.007, memory: 59439, decode.loss_ce: 0.1922, decode.acc_seg: 92.1451, loss: 0.1922 +2023-03-04 05:45:04,125 - mmseg - INFO - Iter [77750/160000] lr: 7.500e-05, eta: 4:49:32, time: 0.197, data_time: 0.008, memory: 59439, decode.loss_ce: 0.1880, decode.acc_seg: 92.2321, loss: 0.1880 +2023-03-04 05:45:13,887 - mmseg - INFO - Iter [77800/160000] lr: 7.500e-05, eta: 4:49:20, time: 0.195, data_time: 0.008, memory: 59439, decode.loss_ce: 0.2028, decode.acc_seg: 91.8206, loss: 0.2028 +2023-03-04 05:45:23,676 - mmseg - INFO - Iter [77850/160000] lr: 7.500e-05, eta: 4:49:09, time: 0.196, data_time: 0.008, memory: 59439, decode.loss_ce: 0.1973, decode.acc_seg: 92.0174, loss: 0.1973 +2023-03-04 05:45:33,809 - mmseg - INFO - Iter [77900/160000] lr: 7.500e-05, eta: 4:48:58, time: 0.203, data_time: 0.008, memory: 59439, decode.loss_ce: 0.1898, decode.acc_seg: 92.0423, loss: 0.1898 +2023-03-04 05:45:43,644 - mmseg - INFO - Iter [77950/160000] lr: 7.500e-05, eta: 4:48:47, time: 0.197, data_time: 0.008, memory: 59439, decode.loss_ce: 0.2002, decode.acc_seg: 91.9050, loss: 0.2002 +2023-03-04 05:45:53,276 - mmseg - INFO - Exp name: ablation_segformer_mit_b2_segformer_head_unet_fc_small_multi_step_ade_pretrained_freeze_embed_160k_ade20k151_finetune_ema_t20.py +2023-03-04 05:45:53,276 - mmseg - INFO - Iter [78000/160000] lr: 7.500e-05, eta: 4:48:35, time: 0.193, data_time: 0.008, memory: 59439, decode.loss_ce: 0.1991, decode.acc_seg: 91.8950, loss: 0.1991 +2023-03-04 05:46:02,981 - mmseg - INFO - Iter [78050/160000] lr: 7.500e-05, eta: 4:48:24, time: 0.194, data_time: 0.008, memory: 59439, decode.loss_ce: 0.1896, decode.acc_seg: 92.2479, loss: 0.1896 +2023-03-04 05:46:12,810 - mmseg - INFO - Iter [78100/160000] lr: 7.500e-05, eta: 4:48:12, time: 0.197, data_time: 0.008, memory: 59439, decode.loss_ce: 0.1947, decode.acc_seg: 92.0805, loss: 0.1947 +2023-03-04 05:46:22,309 - mmseg - INFO - Iter [78150/160000] lr: 7.500e-05, eta: 4:48:01, time: 0.190, data_time: 0.008, memory: 59439, decode.loss_ce: 0.1921, decode.acc_seg: 92.0989, loss: 0.1921 +2023-03-04 05:46:32,185 - mmseg - INFO - Iter [78200/160000] lr: 7.500e-05, eta: 4:47:49, time: 0.198, data_time: 0.008, memory: 59439, decode.loss_ce: 0.1977, decode.acc_seg: 91.9672, loss: 0.1977 +2023-03-04 05:46:44,480 - mmseg - INFO - Iter [78250/160000] lr: 7.500e-05, eta: 4:47:41, time: 0.246, data_time: 0.055, memory: 59439, decode.loss_ce: 0.1963, decode.acc_seg: 91.8657, loss: 0.1963 +2023-03-04 05:46:54,302 - mmseg - INFO - Iter [78300/160000] lr: 7.500e-05, eta: 4:47:29, time: 0.196, data_time: 0.007, memory: 59439, decode.loss_ce: 0.1992, decode.acc_seg: 91.8909, loss: 0.1992 +2023-03-04 05:47:04,104 - mmseg - INFO - Iter [78350/160000] lr: 7.500e-05, eta: 4:47:18, time: 0.196, data_time: 0.008, memory: 59439, decode.loss_ce: 0.1885, decode.acc_seg: 92.2338, loss: 0.1885 +2023-03-04 05:47:13,762 - mmseg - INFO - Iter [78400/160000] lr: 7.500e-05, eta: 4:47:06, time: 0.193, data_time: 0.007, memory: 59439, decode.loss_ce: 0.1973, decode.acc_seg: 92.0353, loss: 0.1973 +2023-03-04 05:47:23,459 - mmseg - INFO - Iter [78450/160000] lr: 7.500e-05, eta: 4:46:55, time: 0.194, data_time: 0.008, memory: 59439, decode.loss_ce: 0.1865, decode.acc_seg: 92.1644, loss: 0.1865 +2023-03-04 05:47:33,272 - mmseg - INFO - Iter [78500/160000] lr: 7.500e-05, eta: 4:46:44, time: 0.196, data_time: 0.008, memory: 59439, decode.loss_ce: 0.1929, decode.acc_seg: 92.1234, loss: 0.1929 +2023-03-04 05:47:42,880 - mmseg - INFO - Iter [78550/160000] lr: 7.500e-05, eta: 4:46:32, time: 0.192, data_time: 0.008, memory: 59439, decode.loss_ce: 0.2018, decode.acc_seg: 91.7588, loss: 0.2018 +2023-03-04 05:47:52,394 - mmseg - INFO - Iter [78600/160000] lr: 7.500e-05, eta: 4:46:20, time: 0.190, data_time: 0.008, memory: 59439, decode.loss_ce: 0.1878, decode.acc_seg: 92.1816, loss: 0.1878 +2023-03-04 05:48:02,046 - mmseg - INFO - Iter [78650/160000] lr: 7.500e-05, eta: 4:46:09, time: 0.193, data_time: 0.008, memory: 59439, decode.loss_ce: 0.1998, decode.acc_seg: 91.6484, loss: 0.1998 +2023-03-04 05:48:11,836 - mmseg - INFO - Iter [78700/160000] lr: 7.500e-05, eta: 4:45:58, time: 0.196, data_time: 0.008, memory: 59439, decode.loss_ce: 0.1950, decode.acc_seg: 91.9845, loss: 0.1950 +2023-03-04 05:48:21,454 - mmseg - INFO - Iter [78750/160000] lr: 7.500e-05, eta: 4:45:46, time: 0.192, data_time: 0.008, memory: 59439, decode.loss_ce: 0.1931, decode.acc_seg: 92.1209, loss: 0.1931 +2023-03-04 05:48:31,300 - mmseg - INFO - Iter [78800/160000] lr: 7.500e-05, eta: 4:45:35, time: 0.197, data_time: 0.007, memory: 59439, decode.loss_ce: 0.1993, decode.acc_seg: 91.8623, loss: 0.1993 +2023-03-04 05:48:41,125 - mmseg - INFO - Iter [78850/160000] lr: 7.500e-05, eta: 4:45:23, time: 0.197, data_time: 0.008, memory: 59439, decode.loss_ce: 0.1984, decode.acc_seg: 91.7966, loss: 0.1984 +2023-03-04 05:48:53,369 - mmseg - INFO - Iter [78900/160000] lr: 7.500e-05, eta: 4:45:15, time: 0.245, data_time: 0.057, memory: 59439, decode.loss_ce: 0.1881, decode.acc_seg: 92.3320, loss: 0.1881 +2023-03-04 05:49:03,119 - mmseg - INFO - Iter [78950/160000] lr: 7.500e-05, eta: 4:45:03, time: 0.195, data_time: 0.007, memory: 59439, decode.loss_ce: 0.1889, decode.acc_seg: 92.2338, loss: 0.1889 +2023-03-04 05:49:12,929 - mmseg - INFO - Exp name: ablation_segformer_mit_b2_segformer_head_unet_fc_small_multi_step_ade_pretrained_freeze_embed_160k_ade20k151_finetune_ema_t20.py +2023-03-04 05:49:12,930 - mmseg - INFO - Iter [79000/160000] lr: 7.500e-05, eta: 4:44:52, time: 0.196, data_time: 0.008, memory: 59439, decode.loss_ce: 0.1860, decode.acc_seg: 92.2872, loss: 0.1860 +2023-03-04 05:49:22,547 - mmseg - INFO - Iter [79050/160000] lr: 7.500e-05, eta: 4:44:40, time: 0.193, data_time: 0.008, memory: 59439, decode.loss_ce: 0.1865, decode.acc_seg: 92.2550, loss: 0.1865 +2023-03-04 05:49:32,255 - mmseg - INFO - Iter [79100/160000] lr: 7.500e-05, eta: 4:44:29, time: 0.194, data_time: 0.008, memory: 59439, decode.loss_ce: 0.2022, decode.acc_seg: 91.7120, loss: 0.2022 +2023-03-04 05:49:41,887 - mmseg - INFO - Iter [79150/160000] lr: 7.500e-05, eta: 4:44:18, time: 0.193, data_time: 0.008, memory: 59439, decode.loss_ce: 0.1986, decode.acc_seg: 91.8483, loss: 0.1986 +2023-03-04 05:49:51,466 - mmseg - INFO - Iter [79200/160000] lr: 7.500e-05, eta: 4:44:06, time: 0.192, data_time: 0.008, memory: 59439, decode.loss_ce: 0.1927, decode.acc_seg: 92.0976, loss: 0.1927 +2023-03-04 05:50:01,115 - mmseg - INFO - Iter [79250/160000] lr: 7.500e-05, eta: 4:43:55, time: 0.193, data_time: 0.008, memory: 59439, decode.loss_ce: 0.1963, decode.acc_seg: 91.9784, loss: 0.1963 +2023-03-04 05:50:11,217 - mmseg - INFO - Iter [79300/160000] lr: 7.500e-05, eta: 4:43:44, time: 0.202, data_time: 0.008, memory: 59439, decode.loss_ce: 0.1961, decode.acc_seg: 91.9699, loss: 0.1961 +2023-03-04 05:50:21,041 - mmseg - INFO - Iter [79350/160000] lr: 7.500e-05, eta: 4:43:32, time: 0.197, data_time: 0.008, memory: 59439, decode.loss_ce: 0.1859, decode.acc_seg: 92.3727, loss: 0.1859 +2023-03-04 05:50:30,625 - mmseg - INFO - Iter [79400/160000] lr: 7.500e-05, eta: 4:43:21, time: 0.192, data_time: 0.008, memory: 59439, decode.loss_ce: 0.1933, decode.acc_seg: 91.9923, loss: 0.1933 +2023-03-04 05:50:40,214 - mmseg - INFO - Iter [79450/160000] lr: 7.500e-05, eta: 4:43:09, time: 0.192, data_time: 0.008, memory: 59439, decode.loss_ce: 0.2059, decode.acc_seg: 91.8006, loss: 0.2059 +2023-03-04 05:50:49,750 - mmseg - INFO - Iter [79500/160000] lr: 7.500e-05, eta: 4:42:58, time: 0.191, data_time: 0.008, memory: 59439, decode.loss_ce: 0.1934, decode.acc_seg: 91.8793, loss: 0.1934 +2023-03-04 05:51:02,134 - mmseg - INFO - Iter [79550/160000] lr: 7.500e-05, eta: 4:42:49, time: 0.248, data_time: 0.056, memory: 59439, decode.loss_ce: 0.1920, decode.acc_seg: 92.0772, loss: 0.1920 +2023-03-04 05:51:11,825 - mmseg - INFO - Iter [79600/160000] lr: 7.500e-05, eta: 4:42:38, time: 0.194, data_time: 0.007, memory: 59439, decode.loss_ce: 0.1892, decode.acc_seg: 92.3589, loss: 0.1892 +2023-03-04 05:51:21,454 - mmseg - INFO - Iter [79650/160000] lr: 7.500e-05, eta: 4:42:26, time: 0.193, data_time: 0.007, memory: 59439, decode.loss_ce: 0.1935, decode.acc_seg: 92.0986, loss: 0.1935 +2023-03-04 05:51:31,174 - mmseg - INFO - Iter [79700/160000] lr: 7.500e-05, eta: 4:42:15, time: 0.194, data_time: 0.007, memory: 59439, decode.loss_ce: 0.1952, decode.acc_seg: 92.0790, loss: 0.1952 +2023-03-04 05:51:40,936 - mmseg - INFO - Iter [79750/160000] lr: 7.500e-05, eta: 4:42:03, time: 0.195, data_time: 0.007, memory: 59439, decode.loss_ce: 0.1893, decode.acc_seg: 92.2752, loss: 0.1893 +2023-03-04 05:51:50,585 - mmseg - INFO - Iter [79800/160000] lr: 7.500e-05, eta: 4:41:52, time: 0.193, data_time: 0.007, memory: 59439, decode.loss_ce: 0.2012, decode.acc_seg: 91.8310, loss: 0.2012 +2023-03-04 05:52:00,401 - mmseg - INFO - Iter [79850/160000] lr: 7.500e-05, eta: 4:41:41, time: 0.196, data_time: 0.008, memory: 59439, decode.loss_ce: 0.1932, decode.acc_seg: 92.0977, loss: 0.1932 +2023-03-04 05:52:10,069 - mmseg - INFO - Iter [79900/160000] lr: 7.500e-05, eta: 4:41:29, time: 0.193, data_time: 0.008, memory: 59439, decode.loss_ce: 0.1879, decode.acc_seg: 92.1986, loss: 0.1879 +2023-03-04 05:52:20,047 - mmseg - INFO - Iter [79950/160000] lr: 7.500e-05, eta: 4:41:18, time: 0.200, data_time: 0.008, memory: 59439, decode.loss_ce: 0.1928, decode.acc_seg: 92.1437, loss: 0.1928 +2023-03-04 05:52:29,560 - mmseg - INFO - Swap parameters (after train) after iter [80000] +2023-03-04 05:52:29,572 - mmseg - INFO - Saving checkpoint at 80000 iterations +2023-03-04 05:52:30,561 - mmseg - INFO - Exp name: ablation_segformer_mit_b2_segformer_head_unet_fc_small_multi_step_ade_pretrained_freeze_embed_160k_ade20k151_finetune_ema_t20.py +2023-03-04 05:52:30,561 - mmseg - INFO - Iter [80000/160000] lr: 7.500e-05, eta: 4:41:08, time: 0.210, data_time: 0.008, memory: 59439, decode.loss_ce: 0.1958, decode.acc_seg: 92.0420, loss: 0.1958 +2023-03-04 05:56:01,225 - mmseg - INFO - per class results: +2023-03-04 05:56:01,238 - mmseg - INFO - ++---------------------+-------------------------------------------------------------------------------------------------------------------------+ +| Class | IoU 0,1,2,3,4,5,6,7,8,9,10,11,12,13,14,15,16,17,18,19 | ++---------------------+-------------------------------------------------------------------------------------------------------------------------+ +| background | nan,nan,nan,nan,nan,nan,nan,nan,nan,nan,nan,nan,nan,nan,nan,nan,nan,nan,nan,nan | +| wall | 77.44,77.46,77.47,77.5,77.52,77.51,77.53,77.53,77.55,77.54,77.55,77.55,77.55,77.56,77.56,77.55,77.56,77.56,77.56,77.56 | +| building | 81.69,81.7,81.7,81.72,81.72,81.73,81.73,81.73,81.75,81.75,81.75,81.76,81.76,81.77,81.77,81.78,81.77,81.77,81.77,81.77 | +| sky | 94.46,94.47,94.47,94.47,94.48,94.48,94.48,94.49,94.49,94.5,94.49,94.51,94.49,94.51,94.49,94.51,94.5,94.51,94.5,94.51 | +| floor | 81.64,81.66,81.68,81.7,81.7,81.74,81.74,81.76,81.8,81.79,81.8,81.8,81.82,81.82,81.83,81.84,81.84,81.84,81.86,81.85 | +| tree | 74.26,74.26,74.27,74.29,74.29,74.3,74.3,74.33,74.33,74.33,74.34,74.34,74.36,74.35,74.36,74.36,74.35,74.35,74.35,74.35 | +| ceiling | 85.32,85.34,85.33,85.35,85.39,85.37,85.39,85.39,85.41,85.4,85.4,85.4,85.39,85.4,85.37,85.39,85.4,85.4,85.4,85.41 | +| road | 82.18,82.15,82.19,82.21,82.2,82.2,82.21,82.21,82.24,82.24,82.24,82.19,82.21,82.14,82.19,82.16,82.2,82.15,82.19,82.13 | +| bed | 87.81,87.82,87.84,87.82,87.82,87.87,87.83,87.86,87.86,87.87,87.83,87.85,87.87,87.82,87.86,87.82,87.83,87.81,87.81,87.8 | +| windowpane | 60.59,60.55,60.58,60.6,60.62,60.59,60.62,60.62,60.64,60.62,60.64,60.64,60.65,60.67,60.68,60.65,60.68,60.66,60.7,60.71 | +| grass | 67.05,67.05,67.08,67.1,67.11,67.13,67.12,67.17,67.15,67.21,67.18,67.22,67.2,67.24,67.22,67.27,67.24,67.29,67.24,67.3 | +| cabinet | 61.1,61.16,61.24,61.3,61.31,61.4,61.4,61.47,61.48,61.49,61.48,61.51,61.52,61.47,61.56,61.47,61.55,61.48,61.54,61.45 | +| sidewalk | 64.07,64.07,64.08,64.12,64.1,64.08,64.09,64.07,64.15,64.11,64.15,64.02,64.09,63.99,64.06,64.0,64.05,63.98,64.06,63.96 | +| person | 79.95,79.95,79.97,79.95,79.99,79.99,79.99,80.0,80.01,80.01,80.02,80.02,80.02,80.03,80.03,80.04,80.0,80.04,80.01,80.04 | +| earth | 35.93,35.89,36.01,35.93,35.98,35.97,36.02,35.99,36.0,36.06,36.03,36.04,36.02,36.02,36.01,36.0,36.01,35.97,36.0,35.94 | +| door | 45.84,45.89,45.88,45.91,45.94,45.94,45.92,45.96,46.02,45.95,45.99,46.0,46.01,46.08,46.03,46.08,46.02,46.08,46.04,46.1 | +| table | 61.2,61.2,61.22,61.3,61.31,61.34,61.37,61.4,61.4,61.47,61.46,61.48,61.45,61.48,61.45,61.49,61.48,61.5,61.47,61.5 | +| mountain | 56.94,56.97,56.97,57.04,57.1,57.12,57.21,57.22,57.25,57.32,57.33,57.34,57.37,57.41,57.4,57.45,57.42,57.45,57.43,57.45 | +| plant | 50.04,50.0,50.05,50.02,50.04,50.03,50.04,49.99,50.07,50.04,50.04,50.02,50.09,50.03,50.07,50.01,50.06,50.01,50.03,50.0 | +| curtain | 74.42,74.5,74.45,74.54,74.62,74.6,74.67,74.6,74.74,74.67,74.76,74.69,74.8,74.78,74.85,74.78,74.88,74.81,74.91,74.87 | +| chair | 56.27,56.3,56.29,56.36,56.35,56.34,56.4,56.37,56.37,56.41,56.4,56.39,56.42,56.41,56.39,56.43,56.39,56.44,56.4,56.44 | +| car | 81.71,81.74,81.75,81.75,81.76,81.78,81.75,81.78,81.8,81.77,81.81,81.78,81.8,81.76,81.82,81.79,81.8,81.8,81.8,81.81 | +| water | 57.24,57.28,57.26,57.28,57.27,57.27,57.23,57.27,57.25,57.28,57.26,57.24,57.27,57.25,57.27,57.23,57.25,57.25,57.25,57.26 | +| painting | 70.04,69.98,70.01,69.92,69.96,69.89,69.95,69.86,69.95,69.85,69.9,69.86,69.92,69.92,69.95,69.92,69.95,69.95,69.96,69.95 | +| sofa | 64.64,64.71,64.78,64.85,64.81,64.91,65.01,65.05,65.06,65.04,65.03,65.12,65.14,65.13,65.18,65.18,65.23,65.2,65.28,65.21 | +| shelf | 44.42,44.43,44.48,44.58,44.59,44.6,44.69,44.69,44.7,44.77,44.8,44.84,44.79,44.88,44.88,44.96,44.93,45.01,44.97,45.08 | +| house | 42.56,42.66,42.68,42.75,42.82,42.83,42.88,42.88,42.94,42.96,42.92,43.02,42.92,43.06,43.0,43.1,43.01,43.1,43.0,43.1 | +| sea | 60.39,60.42,60.41,60.42,60.43,60.4,60.42,60.41,60.43,60.46,60.45,60.42,60.45,60.44,60.46,60.45,60.44,60.47,60.44,60.45 | +| mirror | 65.69,65.84,65.88,65.9,65.98,65.94,65.87,65.94,65.94,65.96,65.91,65.99,65.92,65.98,66.02,66.02,66.03,66.0,66.02,65.97 | +| rug | 64.06,64.18,64.17,64.34,64.39,64.58,64.67,64.77,64.95,64.91,65.04,64.98,65.04,65.01,65.13,65.06,65.16,65.1,65.22,65.12 | +| field | 31.29,31.31,31.32,31.32,31.33,31.36,31.36,31.34,31.38,31.35,31.36,31.33,31.35,31.38,31.35,31.37,31.33,31.38,31.33,31.39 | +| armchair | 37.39,37.53,37.52,37.54,37.55,37.52,37.61,37.59,37.66,37.65,37.68,37.69,37.77,37.74,37.82,37.79,37.85,37.83,37.86,37.82 | +| seat | 66.59,66.66,66.7,66.69,66.81,66.81,66.82,66.93,66.96,66.98,66.96,67.0,67.01,67.05,67.03,67.04,67.05,67.05,67.02,67.04 | +| fence | 40.76,40.86,40.86,40.94,40.98,40.96,40.96,40.92,40.93,40.98,40.97,40.94,40.95,40.87,40.95,40.88,40.96,40.84,40.92,40.84 | +| desk | 47.09,47.15,47.25,47.25,47.26,47.3,47.32,47.28,47.31,47.33,47.41,47.35,47.4,47.31,47.41,47.36,47.39,47.39,47.41,47.39 | +| rock | 36.95,36.99,37.01,37.03,37.02,37.0,37.08,37.01,37.06,37.07,37.07,37.13,37.1,37.08,37.13,37.07,37.15,37.08,37.13,37.09 | +| wardrobe | 57.94,58.08,58.08,58.16,58.2,58.16,58.2,58.15,58.17,58.15,58.16,58.04,58.05,58.02,58.04,57.99,57.99,57.97,57.99,57.92 | +| lamp | 62.19,62.25,62.27,62.3,62.33,62.31,62.29,62.39,62.34,62.36,62.36,62.41,62.39,62.37,62.44,62.39,62.43,62.37,62.38,62.37 | +| bathtub | 76.0,76.16,76.03,76.16,76.18,76.41,76.31,76.42,76.43,76.48,76.5,76.5,76.56,76.64,76.75,76.77,76.81,76.79,77.01,77.02 | +| railing | 33.73,33.75,33.73,33.75,33.77,33.78,33.83,33.83,33.88,33.97,33.96,34.05,34.06,34.1,34.11,34.2,34.14,34.25,34.2,34.26 | +| cushion | 56.98,56.87,57.05,56.87,57.07,56.93,56.92,56.98,57.01,56.89,57.02,56.8,56.91,56.85,56.97,56.77,56.92,56.79,56.85,56.81 | +| base | 22.12,22.21,22.23,22.23,22.38,22.3,22.29,22.28,22.32,22.24,22.31,22.25,22.3,22.25,22.28,22.19,22.25,22.22,22.24,22.22 | +| box | 22.81,22.85,22.91,22.97,23.0,22.99,23.04,23.06,23.09,23.13,23.15,23.15,23.14,23.19,23.2,23.3,23.22,23.32,23.25,23.37 | +| column | 46.42,46.51,46.44,46.5,46.51,46.53,46.57,46.52,46.66,46.6,46.7,46.71,46.74,46.74,46.83,46.8,46.97,46.85,47.02,46.85 | +| signboard | 37.88,37.98,37.99,38.04,38.02,38.04,38.16,38.11,38.16,38.14,38.19,38.15,38.18,38.12,38.16,38.19,38.19,38.2,38.22,38.24 | +| chest of drawers | 36.08,36.14,36.22,36.15,36.18,36.21,36.2,36.22,36.29,36.29,36.3,36.33,36.34,36.33,36.45,36.33,36.42,36.35,36.41,36.3 | +| counter | 31.54,31.61,31.55,31.63,31.66,31.62,31.62,31.63,31.6,31.54,31.59,31.53,31.56,31.48,31.5,31.43,31.44,31.44,31.46,31.47 | +| sand | 43.53,43.57,43.63,43.63,43.57,43.6,43.61,43.68,43.63,43.6,43.61,43.53,43.53,43.5,43.48,43.46,43.45,43.43,43.41,43.36 | +| sink | 68.89,68.87,68.75,68.74,68.65,68.73,68.6,68.61,68.5,68.53,68.43,68.4,68.32,68.25,68.21,68.22,68.21,68.21,68.22,68.2 | +| skyscraper | 48.36,48.34,48.41,48.31,48.27,48.26,48.29,48.14,48.34,48.24,48.22,48.22,48.22,48.16,48.21,48.2,48.22,48.11,48.2,48.05 | +| fireplace | 76.58,76.55,76.59,76.58,76.6,76.61,76.64,76.56,76.62,76.6,76.68,76.58,76.72,76.63,76.77,76.66,76.79,76.72,76.81,76.73 | +| refrigerator | 74.6,74.71,74.83,74.96,75.11,75.3,75.25,75.51,75.43,75.57,75.57,75.71,75.62,75.69,75.7,75.63,75.65,75.63,75.57,75.8 | +| grandstand | 52.21,52.19,52.41,52.36,52.44,52.55,52.45,52.6,52.65,52.68,52.64,52.7,52.74,52.76,52.79,52.83,53.02,52.84,53.07,52.91 | +| path | 21.79,21.78,21.81,21.86,21.87,21.82,21.79,21.82,21.82,21.8,21.87,21.8,21.84,21.83,21.81,21.75,21.74,21.71,21.7,21.73 | +| stairs | 32.11,32.12,32.18,32.16,32.13,32.17,32.15,32.18,32.19,32.23,32.16,32.17,32.19,32.15,32.2,32.15,32.2,32.19,32.22,32.19 | +| runway | 67.26,67.31,67.33,67.29,67.32,67.4,67.39,67.41,67.37,67.42,67.38,67.39,67.26,67.24,67.2,67.17,67.2,67.14,67.18,67.18 | +| case | 47.15,47.12,47.24,47.25,47.32,47.4,47.34,47.51,47.53,47.77,47.65,47.79,47.72,47.8,47.8,47.85,47.91,47.79,47.92,47.73 | +| pool table | 91.88,91.9,91.89,91.93,91.95,91.94,91.95,92.04,92.06,92.04,92.09,92.07,92.09,92.15,92.09,92.14,92.14,92.12,92.19,92.16 | +| pillow | 61.98,61.84,62.05,61.81,61.99,62.1,62.13,62.22,62.24,62.25,62.13,62.19,62.03,62.19,62.1,62.13,62.08,62.06,62.0,62.06 | +| screen door | 68.11,68.2,68.26,68.19,68.43,68.23,68.33,68.38,68.49,68.4,68.37,68.43,68.4,68.35,68.33,68.33,68.16,68.3,68.04,68.26 | +| stairway | 25.12,25.11,25.13,25.08,25.19,25.12,25.24,25.17,25.18,25.27,25.19,25.23,25.23,25.31,25.24,25.3,25.11,25.26,25.07,25.2 | +| river | 11.97,11.96,11.98,11.97,11.99,12.01,11.98,12.0,12.01,11.98,12.0,11.99,11.98,11.96,11.96,11.96,11.96,11.93,11.95,11.92 | +| bridge | 30.7,30.66,30.6,30.75,30.67,30.84,30.78,30.94,30.87,30.86,30.9,31.06,31.03,31.1,31.14,31.22,31.24,31.3,31.34,31.31 | +| bookcase | 47.77,47.69,47.75,47.72,47.67,47.65,47.64,47.62,47.57,47.55,47.57,47.58,47.46,47.51,47.49,47.53,47.48,47.42,47.37,47.41 | +| blind | 39.77,39.7,39.72,39.71,39.66,39.62,39.71,39.58,39.55,39.63,39.61,39.6,39.5,39.63,39.58,39.76,39.59,39.8,39.64,39.94 | +| coffee table | 53.71,53.68,53.73,53.76,53.76,53.69,53.74,53.7,53.92,53.7,53.91,53.66,53.87,53.65,53.73,53.61,53.66,53.58,53.66,53.53 | +| toilet | 84.02,84.0,84.01,84.05,84.02,84.09,83.99,84.09,83.96,84.03,83.97,84.05,83.92,83.97,83.95,83.97,83.93,83.98,83.95,83.97 | +| flower | 39.78,39.87,39.86,39.78,39.86,39.83,39.88,39.75,39.88,39.73,39.79,39.79,39.74,39.66,39.67,39.68,39.54,39.63,39.52,39.6 | +| book | 45.41,45.38,45.32,45.43,45.4,45.39,45.45,45.46,45.38,45.34,45.38,45.54,45.55,45.5,45.55,45.61,45.56,45.56,45.56,45.52 | +| hill | 15.84,15.85,15.91,15.85,15.96,15.91,15.96,15.86,15.89,15.91,15.94,15.88,15.95,15.94,16.0,15.95,15.99,15.94,15.97,15.93 | +| bench | 43.26,43.21,43.21,43.18,43.07,42.99,43.06,42.95,42.95,42.88,42.87,42.79,42.84,42.65,42.75,42.57,42.66,42.52,42.56,42.41 | +| countertop | 55.41,55.69,55.49,55.5,55.3,55.38,55.35,55.29,55.27,55.28,55.33,55.33,55.26,55.33,55.27,55.38,55.18,55.33,55.27,55.35 | +| stove | 72.0,72.09,72.03,72.05,72.0,71.95,72.05,71.96,72.04,72.1,71.95,72.06,71.98,72.01,72.0,71.93,72.01,71.96,72.06,71.98 | +| palm | 47.74,47.72,47.73,47.72,47.67,47.72,47.7,47.69,47.71,47.74,47.81,47.75,47.84,47.83,47.77,47.91,47.81,47.88,47.89,47.92 | +| kitchen island | 45.25,45.24,45.43,45.36,45.34,45.45,45.47,45.67,45.52,45.6,45.26,45.76,45.35,45.45,45.43,45.51,45.38,45.27,45.18,45.02 | +| computer | 60.6,60.57,60.55,60.61,60.57,60.65,60.6,60.71,60.57,60.64,60.59,60.66,60.63,60.66,60.68,60.64,60.67,60.64,60.6,60.64 | +| swivel chair | 44.11,44.21,44.27,44.21,44.2,44.11,44.21,44.27,44.38,44.47,44.39,44.44,44.42,44.51,44.47,44.52,44.46,44.61,44.46,44.64 | +| boat | 72.65,72.85,72.87,72.84,72.78,72.91,72.95,72.96,72.89,73.02,73.03,73.06,73.08,73.15,73.12,73.07,73.16,73.15,73.16,73.15 | +| bar | 23.59,23.62,23.64,23.61,23.64,23.65,23.64,23.59,23.58,23.66,23.61,23.66,23.61,23.63,23.6,23.63,23.6,23.66,23.6,23.67 | +| arcade machine | 71.16,71.39,71.89,71.63,72.05,72.06,71.49,72.5,72.0,72.43,71.88,72.36,71.93,72.42,72.45,72.32,72.36,72.37,72.45,72.41 | +| hovel | 31.58,31.82,31.72,31.77,31.82,31.8,31.75,31.87,31.62,31.86,31.6,31.92,31.35,31.64,31.43,31.52,31.27,31.48,31.11,31.3 | +| bus | 80.13,80.21,80.13,80.1,80.07,80.08,80.14,80.15,80.02,80.13,80.01,79.96,80.06,80.08,80.02,79.99,79.96,79.91,79.91,79.85 | +| towel | 63.01,62.91,62.93,63.0,63.0,63.05,63.05,63.01,63.0,63.09,63.05,63.2,63.14,63.17,63.22,63.18,63.17,63.22,63.25,63.27 | +| light | 56.59,56.59,56.61,56.67,56.6,56.7,56.76,56.7,56.77,56.77,56.79,56.83,56.78,56.78,56.72,56.84,56.79,56.78,56.78,56.8 | +| truck | 18.36,18.48,18.3,18.49,18.19,18.53,18.27,18.29,18.31,18.3,18.3,18.15,18.0,18.24,17.88,17.97,18.11,17.82,17.98,17.71 | +| tower | 10.02,10.04,10.07,10.1,10.13,10.14,10.14,10.17,10.22,10.26,10.24,10.23,10.25,10.3,10.33,10.42,10.4,10.46,10.45,10.54 | +| chandelier | 64.15,64.2,64.11,64.16,64.13,64.2,64.19,64.15,64.09,64.16,64.19,64.24,64.15,64.14,64.11,64.15,64.16,64.19,64.06,64.23 | +| awning | 23.6,23.78,23.87,23.79,24.02,24.11,24.06,24.08,24.18,24.21,24.33,24.28,24.27,24.35,24.46,24.33,24.53,24.31,24.53,24.3 | +| streetlight | 27.14,27.08,27.14,27.14,27.21,27.21,27.28,27.33,27.27,27.27,27.29,27.34,27.46,27.33,27.37,27.4,27.43,27.39,27.44,27.44 | +| booth | 47.75,48.08,48.03,48.18,48.31,48.66,48.72,48.86,48.81,48.95,49.17,49.28,49.37,49.51,49.49,49.39,49.51,49.54,49.55,49.63 | +| television receiver | 65.28,65.35,65.33,65.51,65.49,65.55,65.52,65.6,65.69,65.74,65.79,65.78,65.76,65.86,65.85,65.95,65.92,66.03,66.02,66.07 | +| airplane | 58.73,58.56,58.47,58.63,58.52,58.48,58.37,58.39,58.32,58.31,58.28,58.26,58.13,58.22,58.08,58.2,58.06,58.21,58.05,58.18 | +| dirt track | 21.91,21.81,21.89,22.16,22.37,22.37,22.8,22.8,22.72,23.26,23.39,23.66,23.74,23.97,24.09,24.22,24.5,24.4,24.7,24.54 | +| apparel | 35.52,35.41,35.48,35.38,35.63,35.52,35.76,35.73,35.79,35.79,35.83,35.92,35.89,36.0,35.76,35.97,35.9,36.01,35.96,36.07 | +| pole | 19.43,19.33,19.36,19.39,19.28,19.27,19.22,19.21,19.05,19.14,18.93,19.03,18.96,18.93,18.77,18.73,18.56,18.69,18.52,18.57 | +| land | 3.62,3.65,3.64,3.65,3.65,3.65,3.68,3.65,3.69,3.64,3.68,3.68,3.64,3.72,3.66,3.71,3.65,3.72,3.64,3.71 | +| bannister | 12.32,12.36,12.44,12.47,12.45,12.5,12.62,12.58,12.67,12.62,12.69,12.82,12.8,12.75,12.8,12.78,12.86,12.82,12.86,12.84 | +| escalator | 23.79,23.83,23.89,23.86,24.02,24.04,24.01,24.08,24.1,24.08,24.08,24.14,24.24,24.12,24.18,24.2,24.31,24.28,24.38,24.36 | +| ottoman | 42.09,42.14,42.13,42.19,41.76,42.04,41.66,42.04,41.94,42.11,41.82,41.86,41.84,41.68,41.74,41.54,41.73,41.55,41.69,41.63 | +| bottle | 34.92,34.88,34.91,34.82,34.92,34.9,34.9,34.85,34.81,34.82,35.0,34.83,34.95,34.83,34.9,34.94,34.9,34.9,34.96,34.76 | +| buffet | 39.62,40.4,40.5,41.14,41.01,41.76,42.19,42.23,42.53,42.55,42.84,42.64,42.9,42.8,43.22,43.19,43.4,43.29,43.41,43.23 | +| poster | 22.4,22.41,22.45,22.36,22.45,22.44,22.45,22.36,22.58,22.35,22.45,22.43,22.38,22.48,22.34,22.54,22.28,22.49,22.26,22.53 | +| stage | 14.89,14.78,14.91,14.94,14.92,14.86,14.88,14.77,14.85,14.87,14.8,14.94,14.82,14.84,14.81,14.85,14.78,14.67,14.66,14.62 | +| van | 38.51,38.69,38.64,38.63,38.69,38.84,38.64,38.73,38.92,38.81,38.88,38.8,39.04,38.83,39.04,39.2,39.02,39.18,39.1,39.28 | +| ship | 82.48,82.55,82.6,82.55,82.58,82.56,82.66,82.63,82.68,82.71,82.79,82.75,82.8,82.69,82.89,82.76,82.9,82.82,82.89,82.85 | +| fountain | 20.06,20.2,20.25,20.33,20.32,20.43,20.45,20.52,20.46,20.5,20.51,20.73,20.76,20.74,20.76,20.74,20.72,20.74,20.87,20.83 | +| conveyer belt | 84.72,84.7,84.68,84.89,84.65,84.84,84.74,84.68,84.5,84.63,84.53,84.51,84.41,84.38,84.48,84.31,84.34,84.09,84.3,83.96 | +| canopy | 22.78,22.89,23.2,23.4,23.69,23.56,23.78,24.05,24.06,24.14,24.27,24.38,24.55,24.51,24.66,24.61,24.74,24.7,24.88,24.83 | +| washer | 74.83,75.01,75.22,75.15,75.22,75.62,75.59,75.71,75.84,76.12,76.21,76.09,76.31,76.27,76.45,76.68,76.75,76.9,77.06,77.26 | +| plaything | 20.52,20.49,20.48,20.53,20.47,20.39,20.43,20.42,20.46,20.3,20.33,20.42,20.42,20.34,20.41,20.37,20.37,20.46,20.4,20.46 | +| swimming pool | 72.63,72.54,72.46,72.45,72.59,72.49,72.63,72.78,72.62,72.8,72.77,72.8,72.97,72.69,72.93,72.98,73.0,72.99,73.13,73.0 | +| stool | 45.47,45.32,45.38,45.45,45.45,45.34,45.42,45.42,45.38,45.54,45.51,45.58,45.43,45.42,45.4,45.6,45.55,45.49,45.51,45.38 | +| barrel | 41.88,41.96,41.31,41.71,41.87,41.31,41.18,42.16,41.12,41.05,40.74,40.4,40.77,40.96,40.48,39.76,39.99,40.14,39.39,39.23 | +| basket | 24.28,24.2,24.16,24.28,24.12,24.21,24.09,24.18,24.12,24.12,24.18,24.14,24.2,24.15,24.19,24.17,24.19,24.18,24.27,24.24 | +| waterfall | 49.16,49.22,49.25,49.32,49.34,49.39,49.31,49.49,49.57,49.53,49.58,49.56,49.71,49.59,49.65,49.73,49.71,49.77,49.8,49.81 | +| tent | 94.97,94.98,95.0,95.03,95.08,95.07,95.05,95.16,95.12,95.11,95.2,95.17,95.12,95.18,95.13,95.25,95.18,95.24,95.14,95.26 | +| bag | 15.6,15.55,15.59,15.54,15.59,15.84,15.79,15.9,15.64,15.94,15.88,15.78,16.01,15.93,16.06,16.1,16.05,16.31,16.15,16.36 | +| minibike | 62.63,62.57,62.83,62.8,62.76,62.87,62.77,62.88,62.94,62.93,62.87,63.01,62.9,63.02,62.96,62.95,62.98,62.89,62.98,62.99 | +| cradle | 83.94,84.07,84.11,84.16,84.31,84.4,84.55,84.44,84.74,84.81,84.72,84.99,85.09,85.15,85.14,85.31,85.29,85.44,85.41,85.46 | +| oven | 46.46,46.42,46.53,46.68,46.43,46.54,46.77,46.79,46.82,46.76,46.84,46.9,46.92,47.08,47.11,47.11,47.24,47.35,47.29,47.37 | +| ball | 45.74,45.71,45.7,45.63,45.79,45.63,45.72,45.73,45.68,45.68,45.85,45.77,45.66,45.85,45.44,46.0,45.39,45.92,45.26,45.81 | +| food | 55.33,55.36,55.36,55.44,55.57,55.69,55.57,55.53,55.58,55.64,55.46,55.7,55.52,55.65,55.55,55.57,55.52,55.39,55.5,55.28 | +| step | 6.21,6.31,6.2,6.28,6.27,6.21,6.28,6.21,6.1,5.98,6.03,5.94,6.04,5.85,6.05,5.82,6.02,5.81,5.98,5.76 | +| tank | 52.13,52.22,52.17,52.14,52.07,52.17,52.2,52.1,52.09,52.06,52.02,52.06,52.0,51.97,51.87,51.95,51.86,51.88,51.83,51.9 | +| trade name | 27.57,27.71,27.76,27.69,27.75,27.81,27.91,27.84,27.88,27.78,27.89,27.64,27.59,27.58,27.65,27.65,27.66,27.6,27.55,27.59 | +| microwave | 71.18,71.26,71.41,71.66,71.77,71.96,72.17,71.99,72.3,72.25,72.56,72.53,72.68,72.72,72.84,72.9,72.99,73.0,73.16,73.14 | +| pot | 29.49,29.65,29.7,29.6,29.66,29.76,29.84,29.9,30.02,30.12,30.12,30.28,30.41,30.4,30.47,30.51,30.58,30.63,30.63,30.71 | +| animal | 55.17,55.25,55.22,55.24,55.31,55.33,55.35,55.39,55.38,55.45,55.47,55.5,55.44,55.47,55.48,55.48,55.5,55.49,55.49,55.49 | +| bicycle | 54.61,54.65,54.71,54.8,54.84,55.06,55.05,55.02,55.14,55.28,55.13,55.27,55.34,55.29,55.36,55.33,55.41,55.46,55.46,55.48 | +| lake | 57.52,57.53,57.53,57.55,57.58,57.61,57.62,57.63,57.64,57.67,57.66,57.67,57.66,57.72,57.72,57.73,57.73,57.76,57.74,57.76 | +| dishwasher | 66.48,66.67,66.4,66.44,66.24,65.8,66.1,65.76,65.58,65.39,65.43,65.31,65.31,65.32,65.15,65.15,64.9,65.24,64.86,65.14 | +| screen | 69.39,69.45,69.28,69.16,69.04,68.83,68.74,68.71,68.7,68.48,68.69,68.14,68.49,68.01,68.11,67.95,67.91,67.87,67.83,67.79 | +| blanket | 18.57,18.67,18.72,18.75,18.91,18.86,18.99,18.85,18.99,19.08,18.89,19.02,19.01,19.05,18.96,19.04,18.95,18.99,18.93,18.97 | +| sculpture | 56.82,56.87,56.88,56.8,56.96,56.66,56.85,56.62,56.79,56.63,56.68,56.94,57.02,56.82,57.05,57.0,57.09,57.04,57.2,57.31 | +| hood | 58.43,58.43,58.38,58.58,58.37,58.35,58.18,57.97,58.1,57.8,57.78,57.67,57.55,57.66,57.8,57.57,57.67,57.51,57.51,57.4 | +| sconce | 41.63,41.75,41.81,41.94,42.12,42.12,42.14,42.34,42.26,42.31,42.51,42.35,42.46,42.5,42.7,42.68,42.65,42.69,42.83,42.75 | +| vase | 37.45,37.75,37.44,37.59,37.61,37.8,37.66,37.78,37.92,37.81,37.84,37.88,37.9,37.92,38.0,38.0,37.9,38.12,38.03,38.05 | +| traffic light | 33.01,33.06,33.06,33.23,33.21,33.26,33.4,33.39,33.45,33.49,33.53,33.57,33.56,33.57,33.66,33.67,33.76,33.83,33.88,33.98 | +| tray | 8.0,8.03,8.12,8.26,8.19,8.3,8.45,8.45,8.45,8.56,8.65,8.69,8.83,8.75,8.77,8.86,8.88,9.03,8.97,9.14 | +| ashcan | 40.15,40.29,40.23,40.25,40.33,40.2,40.32,40.39,40.32,40.46,40.37,40.38,40.45,40.42,40.52,40.35,40.51,40.49,40.68,40.56 | +| fan | 58.05,57.96,58.07,58.12,58.12,58.21,58.02,58.17,58.19,58.1,58.23,58.21,58.07,58.06,58.0,58.11,58.01,58.17,57.96,58.1 | +| pier | 45.79,46.09,45.59,45.56,45.76,46.1,45.97,45.67,45.89,45.96,46.4,46.13,46.23,46.32,46.38,46.29,46.31,46.51,46.6,46.72 | +| crt screen | 10.71,10.69,10.63,10.73,10.69,10.68,10.67,10.64,10.71,10.68,10.64,10.69,10.65,10.67,10.71,10.6,10.74,10.55,10.7,10.51 | +| plate | 51.86,51.97,52.08,52.0,52.21,52.24,52.38,52.41,52.37,52.45,52.54,52.51,52.64,52.62,52.67,52.67,52.78,52.74,52.83,52.8 | +| monitor | 18.27,18.42,18.27,18.1,17.92,17.95,17.85,17.66,17.73,17.62,17.47,17.49,17.31,17.24,17.14,16.99,16.9,16.79,16.71,16.55 | +| bulletin board | 36.61,36.37,36.59,36.52,36.56,36.69,36.88,36.85,36.92,36.88,37.24,37.19,37.21,37.26,37.39,37.52,37.5,37.63,37.61,37.75 | +| shower | 1.72,1.71,1.75,1.68,1.69,1.72,1.71,1.68,1.61,1.67,1.63,1.69,1.65,1.64,1.64,1.67,1.62,1.65,1.66,1.62 | +| radiator | 59.82,60.08,60.45,60.47,60.73,60.81,61.21,61.39,61.45,61.92,62.02,62.21,62.04,62.45,62.34,62.83,62.38,62.99,62.54,63.11 | +| glass | 14.08,14.07,14.11,14.07,14.07,14.11,14.09,14.09,14.02,14.16,14.1,14.11,14.05,14.11,14.03,14.02,14.02,14.0,13.98,13.96 | +| clock | 35.31,35.23,35.39,35.28,35.03,35.22,35.35,35.26,35.1,35.28,35.27,35.12,35.35,35.2,35.15,35.18,35.26,35.11,35.22,35.18 | +| flag | 33.65,33.73,33.75,33.79,33.8,33.8,33.75,33.58,33.79,33.68,33.76,33.76,33.76,33.8,33.9,33.88,33.79,33.88,33.91,33.94 | ++---------------------+-------------------------------------------------------------------------------------------------------------------------+ +2023-03-04 05:56:01,239 - mmseg - INFO - Summary: +2023-03-04 05:56:01,239 - mmseg - INFO - ++------------------------------------------------------------------------------------------------------------------------+ +| mIoU 0,1,2,3,4,5,6,7,8,9,10,11,12,13,14,15,16,17,18,19 | ++------------------------------------------------------------------------------------------------------------------------+ +| 48.7,48.75,48.76,48.79,48.81,48.84,48.86,48.88,48.89,48.91,48.92,48.93,48.93,48.94,48.96,48.96,48.96,48.97,48.97,48.98 | ++------------------------------------------------------------------------------------------------------------------------+ +2023-03-04 05:56:01,273 - mmseg - INFO - The previous best checkpoint /mnt/petrelfs/laizeqiang/mmseg-baseline/work_dirs2/ablation_segformer_mit_b2_segformer_head_unet_fc_small_multi_step_ade_pretrained_freeze_embed_160k_ade20k151_finetune_ema_t20/best_mIoU_iter_64000.pth was removed +2023-03-04 05:56:02,266 - mmseg - INFO - Now best checkpoint is saved as best_mIoU_iter_80000.pth. +2023-03-04 05:56:02,267 - mmseg - INFO - Best mIoU is 0.4898 at 80000 iter. +2023-03-04 05:56:02,267 - mmseg - INFO - Exp name: ablation_segformer_mit_b2_segformer_head_unet_fc_small_multi_step_ade_pretrained_freeze_embed_160k_ade20k151_finetune_ema_t20.py +2023-03-04 05:56:02,267 - mmseg - INFO - Iter(val) [250] mIoU: [0.487, 0.4875, 0.4876, 0.4879, 0.4881, 0.4884, 0.4886, 0.4888, 0.4889, 0.4891, 0.4892, 0.4893, 0.4893, 0.4894, 0.4896, 0.4896, 0.4896, 0.4897, 0.4897, 0.4898], copy_paste: 48.7,48.75,48.76,48.79,48.81,48.84,48.86,48.88,48.89,48.91,48.92,48.93,48.93,48.94,48.96,48.96,48.96,48.97,48.97,48.98 +2023-03-04 05:56:02,274 - mmseg - INFO - Swap parameters (before train) before iter [80001] +2023-03-04 05:56:12,407 - mmseg - INFO - Iter [80050/160000] lr: 7.500e-05, eta: 4:44:28, time: 4.437, data_time: 4.242, memory: 59439, decode.loss_ce: 0.1994, decode.acc_seg: 91.8208, loss: 0.1994 +2023-03-04 05:56:22,588 - mmseg - INFO - Iter [80100/160000] lr: 7.500e-05, eta: 4:44:17, time: 0.204, data_time: 0.007, memory: 59439, decode.loss_ce: 0.1973, decode.acc_seg: 91.8430, loss: 0.1973 +2023-03-04 05:56:34,606 - mmseg - INFO - Iter [80150/160000] lr: 7.500e-05, eta: 4:44:08, time: 0.240, data_time: 0.055, memory: 59439, decode.loss_ce: 0.1961, decode.acc_seg: 91.8689, loss: 0.1961 +2023-03-04 05:56:44,573 - mmseg - INFO - Iter [80200/160000] lr: 7.500e-05, eta: 4:43:56, time: 0.199, data_time: 0.008, memory: 59439, decode.loss_ce: 0.1951, decode.acc_seg: 92.0084, loss: 0.1951 +2023-03-04 05:56:54,359 - mmseg - INFO - Iter [80250/160000] lr: 7.500e-05, eta: 4:43:45, time: 0.196, data_time: 0.008, memory: 59439, decode.loss_ce: 0.2010, decode.acc_seg: 91.6546, loss: 0.2010 +2023-03-04 05:57:04,020 - mmseg - INFO - Iter [80300/160000] lr: 7.500e-05, eta: 4:43:33, time: 0.193, data_time: 0.008, memory: 59439, decode.loss_ce: 0.1962, decode.acc_seg: 91.9932, loss: 0.1962 +2023-03-04 05:57:13,920 - mmseg - INFO - Iter [80350/160000] lr: 7.500e-05, eta: 4:43:22, time: 0.198, data_time: 0.008, memory: 59439, decode.loss_ce: 0.1941, decode.acc_seg: 92.0263, loss: 0.1941 +2023-03-04 05:57:23,785 - mmseg - INFO - Iter [80400/160000] lr: 7.500e-05, eta: 4:43:10, time: 0.198, data_time: 0.008, memory: 59439, decode.loss_ce: 0.1904, decode.acc_seg: 92.2256, loss: 0.1904 +2023-03-04 05:57:33,650 - mmseg - INFO - Iter [80450/160000] lr: 7.500e-05, eta: 4:42:59, time: 0.197, data_time: 0.007, memory: 59439, decode.loss_ce: 0.1957, decode.acc_seg: 91.9914, loss: 0.1957 +2023-03-04 05:57:43,141 - mmseg - INFO - Iter [80500/160000] lr: 7.500e-05, eta: 4:42:47, time: 0.190, data_time: 0.008, memory: 59439, decode.loss_ce: 0.1979, decode.acc_seg: 91.9555, loss: 0.1979 +2023-03-04 05:57:52,691 - mmseg - INFO - Iter [80550/160000] lr: 7.500e-05, eta: 4:42:35, time: 0.191, data_time: 0.008, memory: 59439, decode.loss_ce: 0.2028, decode.acc_seg: 91.8457, loss: 0.2028 +2023-03-04 05:58:02,263 - mmseg - INFO - Iter [80600/160000] lr: 7.500e-05, eta: 4:42:23, time: 0.191, data_time: 0.008, memory: 59439, decode.loss_ce: 0.1951, decode.acc_seg: 92.0915, loss: 0.1951 +2023-03-04 05:58:12,060 - mmseg - INFO - Iter [80650/160000] lr: 7.500e-05, eta: 4:42:12, time: 0.196, data_time: 0.008, memory: 59439, decode.loss_ce: 0.1969, decode.acc_seg: 91.9201, loss: 0.1969 +2023-03-04 05:58:21,880 - mmseg - INFO - Iter [80700/160000] lr: 7.500e-05, eta: 4:42:00, time: 0.196, data_time: 0.008, memory: 59439, decode.loss_ce: 0.1934, decode.acc_seg: 91.9069, loss: 0.1934 +2023-03-04 05:58:31,630 - mmseg - INFO - Iter [80750/160000] lr: 7.500e-05, eta: 4:41:49, time: 0.195, data_time: 0.008, memory: 59439, decode.loss_ce: 0.1997, decode.acc_seg: 91.8199, loss: 0.1997 +2023-03-04 05:58:43,905 - mmseg - INFO - Iter [80800/160000] lr: 7.500e-05, eta: 4:41:40, time: 0.245, data_time: 0.056, memory: 59439, decode.loss_ce: 0.1937, decode.acc_seg: 92.2080, loss: 0.1937 +2023-03-04 05:58:53,741 - mmseg - INFO - Iter [80850/160000] lr: 7.500e-05, eta: 4:41:28, time: 0.197, data_time: 0.008, memory: 59439, decode.loss_ce: 0.1985, decode.acc_seg: 91.8630, loss: 0.1985 +2023-03-04 05:59:03,620 - mmseg - INFO - Iter [80900/160000] lr: 7.500e-05, eta: 4:41:17, time: 0.198, data_time: 0.007, memory: 59439, decode.loss_ce: 0.1910, decode.acc_seg: 92.1991, loss: 0.1910 +2023-03-04 05:59:13,281 - mmseg - INFO - Iter [80950/160000] lr: 7.500e-05, eta: 4:41:05, time: 0.193, data_time: 0.008, memory: 59439, decode.loss_ce: 0.1971, decode.acc_seg: 91.9878, loss: 0.1971 +2023-03-04 05:59:23,182 - mmseg - INFO - Exp name: ablation_segformer_mit_b2_segformer_head_unet_fc_small_multi_step_ade_pretrained_freeze_embed_160k_ade20k151_finetune_ema_t20.py +2023-03-04 05:59:23,182 - mmseg - INFO - Iter [81000/160000] lr: 7.500e-05, eta: 4:40:53, time: 0.198, data_time: 0.007, memory: 59439, decode.loss_ce: 0.1997, decode.acc_seg: 91.8350, loss: 0.1997 +2023-03-04 05:59:33,081 - mmseg - INFO - Iter [81050/160000] lr: 7.500e-05, eta: 4:40:42, time: 0.198, data_time: 0.008, memory: 59439, decode.loss_ce: 0.1964, decode.acc_seg: 91.9726, loss: 0.1964 +2023-03-04 05:59:42,954 - mmseg - INFO - Iter [81100/160000] lr: 7.500e-05, eta: 4:40:31, time: 0.197, data_time: 0.008, memory: 59439, decode.loss_ce: 0.1969, decode.acc_seg: 91.9293, loss: 0.1969 +2023-03-04 05:59:52,745 - mmseg - INFO - Iter [81150/160000] lr: 7.500e-05, eta: 4:40:19, time: 0.196, data_time: 0.008, memory: 59439, decode.loss_ce: 0.1884, decode.acc_seg: 92.2238, loss: 0.1884 +2023-03-04 06:00:02,574 - mmseg - INFO - Iter [81200/160000] lr: 7.500e-05, eta: 4:40:08, time: 0.196, data_time: 0.008, memory: 59439, decode.loss_ce: 0.1986, decode.acc_seg: 91.9183, loss: 0.1986 +2023-03-04 06:00:12,654 - mmseg - INFO - Iter [81250/160000] lr: 7.500e-05, eta: 4:39:56, time: 0.202, data_time: 0.008, memory: 59439, decode.loss_ce: 0.1924, decode.acc_seg: 92.1414, loss: 0.1924 +2023-03-04 06:00:22,259 - mmseg - INFO - Iter [81300/160000] lr: 7.500e-05, eta: 4:39:45, time: 0.192, data_time: 0.008, memory: 59439, decode.loss_ce: 0.1956, decode.acc_seg: 91.9280, loss: 0.1956 +2023-03-04 06:00:31,912 - mmseg - INFO - Iter [81350/160000] lr: 7.500e-05, eta: 4:39:33, time: 0.193, data_time: 0.008, memory: 59439, decode.loss_ce: 0.1958, decode.acc_seg: 92.0657, loss: 0.1958 +2023-03-04 06:00:44,129 - mmseg - INFO - Iter [81400/160000] lr: 7.500e-05, eta: 4:39:24, time: 0.244, data_time: 0.057, memory: 59439, decode.loss_ce: 0.1932, decode.acc_seg: 92.0837, loss: 0.1932 +2023-03-04 06:00:53,654 - mmseg - INFO - Iter [81450/160000] lr: 7.500e-05, eta: 4:39:12, time: 0.191, data_time: 0.008, memory: 59439, decode.loss_ce: 0.2015, decode.acc_seg: 91.7844, loss: 0.2015 +2023-03-04 06:01:03,255 - mmseg - INFO - Iter [81500/160000] lr: 7.500e-05, eta: 4:39:00, time: 0.192, data_time: 0.008, memory: 59439, decode.loss_ce: 0.1939, decode.acc_seg: 92.0546, loss: 0.1939 +2023-03-04 06:01:13,097 - mmseg - INFO - Iter [81550/160000] lr: 7.500e-05, eta: 4:38:49, time: 0.197, data_time: 0.007, memory: 59439, decode.loss_ce: 0.2046, decode.acc_seg: 91.7699, loss: 0.2046 +2023-03-04 06:01:22,844 - mmseg - INFO - Iter [81600/160000] lr: 7.500e-05, eta: 4:38:37, time: 0.195, data_time: 0.008, memory: 59439, decode.loss_ce: 0.1954, decode.acc_seg: 92.0560, loss: 0.1954 +2023-03-04 06:01:32,897 - mmseg - INFO - Iter [81650/160000] lr: 7.500e-05, eta: 4:38:26, time: 0.201, data_time: 0.007, memory: 59439, decode.loss_ce: 0.1940, decode.acc_seg: 92.0499, loss: 0.1940 +2023-03-04 06:01:42,679 - mmseg - INFO - Iter [81700/160000] lr: 7.500e-05, eta: 4:38:15, time: 0.196, data_time: 0.008, memory: 59439, decode.loss_ce: 0.1953, decode.acc_seg: 91.8586, loss: 0.1953 +2023-03-04 06:01:52,750 - mmseg - INFO - Iter [81750/160000] lr: 7.500e-05, eta: 4:38:03, time: 0.201, data_time: 0.007, memory: 59439, decode.loss_ce: 0.1988, decode.acc_seg: 91.9645, loss: 0.1988 +2023-03-04 06:02:02,747 - mmseg - INFO - Iter [81800/160000] lr: 7.500e-05, eta: 4:37:52, time: 0.200, data_time: 0.008, memory: 59439, decode.loss_ce: 0.1927, decode.acc_seg: 91.9732, loss: 0.1927 +2023-03-04 06:02:12,282 - mmseg - INFO - Iter [81850/160000] lr: 7.500e-05, eta: 4:37:40, time: 0.191, data_time: 0.008, memory: 59439, decode.loss_ce: 0.1952, decode.acc_seg: 92.0129, loss: 0.1952 +2023-03-04 06:02:21,975 - mmseg - INFO - Iter [81900/160000] lr: 7.500e-05, eta: 4:37:29, time: 0.194, data_time: 0.008, memory: 59439, decode.loss_ce: 0.2020, decode.acc_seg: 91.6577, loss: 0.2020 +2023-03-04 06:02:31,513 - mmseg - INFO - Iter [81950/160000] lr: 7.500e-05, eta: 4:37:17, time: 0.191, data_time: 0.008, memory: 59439, decode.loss_ce: 0.1929, decode.acc_seg: 92.0586, loss: 0.1929 +2023-03-04 06:02:41,264 - mmseg - INFO - Exp name: ablation_segformer_mit_b2_segformer_head_unet_fc_small_multi_step_ade_pretrained_freeze_embed_160k_ade20k151_finetune_ema_t20.py +2023-03-04 06:02:41,264 - mmseg - INFO - Iter [82000/160000] lr: 7.500e-05, eta: 4:37:06, time: 0.195, data_time: 0.008, memory: 59439, decode.loss_ce: 0.1906, decode.acc_seg: 92.1474, loss: 0.1906 +2023-03-04 06:02:53,355 - mmseg - INFO - Iter [82050/160000] lr: 7.500e-05, eta: 4:36:56, time: 0.242, data_time: 0.057, memory: 59439, decode.loss_ce: 0.1932, decode.acc_seg: 91.9401, loss: 0.1932 +2023-03-04 06:03:03,266 - mmseg - INFO - Iter [82100/160000] lr: 7.500e-05, eta: 4:36:45, time: 0.198, data_time: 0.008, memory: 59439, decode.loss_ce: 0.1905, decode.acc_seg: 92.0789, loss: 0.1905 +2023-03-04 06:03:12,786 - mmseg - INFO - Iter [82150/160000] lr: 7.500e-05, eta: 4:36:33, time: 0.190, data_time: 0.008, memory: 59439, decode.loss_ce: 0.1903, decode.acc_seg: 92.1251, loss: 0.1903 +2023-03-04 06:03:22,652 - mmseg - INFO - Iter [82200/160000] lr: 7.500e-05, eta: 4:36:22, time: 0.197, data_time: 0.007, memory: 59439, decode.loss_ce: 0.1974, decode.acc_seg: 91.7870, loss: 0.1974 +2023-03-04 06:03:32,380 - mmseg - INFO - Iter [82250/160000] lr: 7.500e-05, eta: 4:36:10, time: 0.195, data_time: 0.008, memory: 59439, decode.loss_ce: 0.1922, decode.acc_seg: 92.0375, loss: 0.1922 +2023-03-04 06:03:42,354 - mmseg - INFO - Iter [82300/160000] lr: 7.500e-05, eta: 4:35:59, time: 0.199, data_time: 0.007, memory: 59439, decode.loss_ce: 0.1971, decode.acc_seg: 91.7194, loss: 0.1971 +2023-03-04 06:03:51,929 - mmseg - INFO - Iter [82350/160000] lr: 7.500e-05, eta: 4:35:47, time: 0.191, data_time: 0.008, memory: 59439, decode.loss_ce: 0.2035, decode.acc_seg: 91.6473, loss: 0.2035 +2023-03-04 06:04:01,684 - mmseg - INFO - Iter [82400/160000] lr: 7.500e-05, eta: 4:35:36, time: 0.195, data_time: 0.008, memory: 59439, decode.loss_ce: 0.1924, decode.acc_seg: 92.0917, loss: 0.1924 +2023-03-04 06:04:11,289 - mmseg - INFO - Iter [82450/160000] lr: 7.500e-05, eta: 4:35:24, time: 0.192, data_time: 0.008, memory: 59439, decode.loss_ce: 0.1995, decode.acc_seg: 91.7402, loss: 0.1995 +2023-03-04 06:04:20,925 - mmseg - INFO - Iter [82500/160000] lr: 7.500e-05, eta: 4:35:13, time: 0.193, data_time: 0.008, memory: 59439, decode.loss_ce: 0.2004, decode.acc_seg: 91.9323, loss: 0.2004 +2023-03-04 06:04:30,620 - mmseg - INFO - Iter [82550/160000] lr: 7.500e-05, eta: 4:35:01, time: 0.194, data_time: 0.008, memory: 59439, decode.loss_ce: 0.1916, decode.acc_seg: 92.2207, loss: 0.1916 +2023-03-04 06:04:40,130 - mmseg - INFO - Iter [82600/160000] lr: 7.500e-05, eta: 4:34:49, time: 0.190, data_time: 0.008, memory: 59439, decode.loss_ce: 0.1911, decode.acc_seg: 92.0154, loss: 0.1911 +2023-03-04 06:04:49,669 - mmseg - INFO - Iter [82650/160000] lr: 7.500e-05, eta: 4:34:38, time: 0.191, data_time: 0.008, memory: 59439, decode.loss_ce: 0.1919, decode.acc_seg: 92.1534, loss: 0.1919 +2023-03-04 06:05:01,874 - mmseg - INFO - Iter [82700/160000] lr: 7.500e-05, eta: 4:34:28, time: 0.244, data_time: 0.054, memory: 59439, decode.loss_ce: 0.1978, decode.acc_seg: 91.8570, loss: 0.1978 +2023-03-04 06:05:11,642 - mmseg - INFO - Iter [82750/160000] lr: 7.500e-05, eta: 4:34:17, time: 0.195, data_time: 0.008, memory: 59439, decode.loss_ce: 0.1878, decode.acc_seg: 92.1290, loss: 0.1878 +2023-03-04 06:05:21,553 - mmseg - INFO - Iter [82800/160000] lr: 7.500e-05, eta: 4:34:06, time: 0.198, data_time: 0.008, memory: 59439, decode.loss_ce: 0.1966, decode.acc_seg: 91.9850, loss: 0.1966 +2023-03-04 06:05:31,328 - mmseg - INFO - Iter [82850/160000] lr: 7.500e-05, eta: 4:33:54, time: 0.195, data_time: 0.008, memory: 59439, decode.loss_ce: 0.1940, decode.acc_seg: 92.0636, loss: 0.1940 +2023-03-04 06:05:40,961 - mmseg - INFO - Iter [82900/160000] lr: 7.500e-05, eta: 4:33:43, time: 0.193, data_time: 0.007, memory: 59439, decode.loss_ce: 0.1951, decode.acc_seg: 91.9782, loss: 0.1951 +2023-03-04 06:05:50,508 - mmseg - INFO - Iter [82950/160000] lr: 7.500e-05, eta: 4:33:31, time: 0.191, data_time: 0.008, memory: 59439, decode.loss_ce: 0.1930, decode.acc_seg: 92.0961, loss: 0.1930 +2023-03-04 06:06:00,370 - mmseg - INFO - Exp name: ablation_segformer_mit_b2_segformer_head_unet_fc_small_multi_step_ade_pretrained_freeze_embed_160k_ade20k151_finetune_ema_t20.py +2023-03-04 06:06:00,371 - mmseg - INFO - Iter [83000/160000] lr: 7.500e-05, eta: 4:33:19, time: 0.197, data_time: 0.008, memory: 59439, decode.loss_ce: 0.1884, decode.acc_seg: 92.2879, loss: 0.1884 +2023-03-04 06:06:10,140 - mmseg - INFO - Iter [83050/160000] lr: 7.500e-05, eta: 4:33:08, time: 0.195, data_time: 0.008, memory: 59439, decode.loss_ce: 0.1950, decode.acc_seg: 91.9461, loss: 0.1950 +2023-03-04 06:06:19,958 - mmseg - INFO - Iter [83100/160000] lr: 7.500e-05, eta: 4:32:57, time: 0.196, data_time: 0.008, memory: 59439, decode.loss_ce: 0.1900, decode.acc_seg: 92.1807, loss: 0.1900 +2023-03-04 06:06:29,589 - mmseg - INFO - Iter [83150/160000] lr: 7.500e-05, eta: 4:32:45, time: 0.193, data_time: 0.008, memory: 59439, decode.loss_ce: 0.1904, decode.acc_seg: 92.2649, loss: 0.1904 +2023-03-04 06:06:39,145 - mmseg - INFO - Iter [83200/160000] lr: 7.500e-05, eta: 4:32:33, time: 0.191, data_time: 0.008, memory: 59439, decode.loss_ce: 0.1948, decode.acc_seg: 91.9451, loss: 0.1948 +2023-03-04 06:06:48,777 - mmseg - INFO - Iter [83250/160000] lr: 7.500e-05, eta: 4:32:22, time: 0.193, data_time: 0.008, memory: 59439, decode.loss_ce: 0.1964, decode.acc_seg: 91.8862, loss: 0.1964 +2023-03-04 06:07:00,926 - mmseg - INFO - Iter [83300/160000] lr: 7.500e-05, eta: 4:32:12, time: 0.243, data_time: 0.055, memory: 59439, decode.loss_ce: 0.1978, decode.acc_seg: 91.8288, loss: 0.1978 +2023-03-04 06:07:10,635 - mmseg - INFO - Iter [83350/160000] lr: 7.500e-05, eta: 4:32:01, time: 0.194, data_time: 0.007, memory: 59439, decode.loss_ce: 0.1843, decode.acc_seg: 92.4058, loss: 0.1843 +2023-03-04 06:07:20,317 - mmseg - INFO - Iter [83400/160000] lr: 7.500e-05, eta: 4:31:49, time: 0.194, data_time: 0.008, memory: 59439, decode.loss_ce: 0.1840, decode.acc_seg: 92.4614, loss: 0.1840 +2023-03-04 06:07:30,059 - mmseg - INFO - Iter [83450/160000] lr: 7.500e-05, eta: 4:31:38, time: 0.195, data_time: 0.008, memory: 59439, decode.loss_ce: 0.1933, decode.acc_seg: 92.1083, loss: 0.1933 +2023-03-04 06:07:39,709 - mmseg - INFO - Iter [83500/160000] lr: 7.500e-05, eta: 4:31:26, time: 0.193, data_time: 0.007, memory: 59439, decode.loss_ce: 0.1915, decode.acc_seg: 92.3797, loss: 0.1915 +2023-03-04 06:07:49,819 - mmseg - INFO - Iter [83550/160000] lr: 7.500e-05, eta: 4:31:15, time: 0.202, data_time: 0.007, memory: 59439, decode.loss_ce: 0.1970, decode.acc_seg: 92.0952, loss: 0.1970 +2023-03-04 06:07:59,401 - mmseg - INFO - Iter [83600/160000] lr: 7.500e-05, eta: 4:31:04, time: 0.192, data_time: 0.008, memory: 59439, decode.loss_ce: 0.1920, decode.acc_seg: 92.0796, loss: 0.1920 +2023-03-04 06:08:08,892 - mmseg - INFO - Iter [83650/160000] lr: 7.500e-05, eta: 4:30:52, time: 0.190, data_time: 0.008, memory: 59439, decode.loss_ce: 0.1925, decode.acc_seg: 92.1592, loss: 0.1925 +2023-03-04 06:08:18,475 - mmseg - INFO - Iter [83700/160000] lr: 7.500e-05, eta: 4:30:40, time: 0.192, data_time: 0.008, memory: 59439, decode.loss_ce: 0.1929, decode.acc_seg: 92.1233, loss: 0.1929 +2023-03-04 06:08:28,175 - mmseg - INFO - Iter [83750/160000] lr: 7.500e-05, eta: 4:30:29, time: 0.194, data_time: 0.008, memory: 59439, decode.loss_ce: 0.1961, decode.acc_seg: 92.0078, loss: 0.1961 +2023-03-04 06:08:37,958 - mmseg - INFO - Iter [83800/160000] lr: 7.500e-05, eta: 4:30:17, time: 0.196, data_time: 0.008, memory: 59439, decode.loss_ce: 0.1936, decode.acc_seg: 92.0762, loss: 0.1936 +2023-03-04 06:08:47,749 - mmseg - INFO - Iter [83850/160000] lr: 7.500e-05, eta: 4:30:06, time: 0.196, data_time: 0.008, memory: 59439, decode.loss_ce: 0.1880, decode.acc_seg: 92.3153, loss: 0.1880 +2023-03-04 06:08:57,457 - mmseg - INFO - Iter [83900/160000] lr: 7.500e-05, eta: 4:29:55, time: 0.194, data_time: 0.008, memory: 59439, decode.loss_ce: 0.1967, decode.acc_seg: 91.8829, loss: 0.1967 +2023-03-04 06:09:09,774 - mmseg - INFO - Iter [83950/160000] lr: 7.500e-05, eta: 4:29:45, time: 0.246, data_time: 0.055, memory: 59439, decode.loss_ce: 0.1859, decode.acc_seg: 92.3626, loss: 0.1859 +2023-03-04 06:09:19,548 - mmseg - INFO - Exp name: ablation_segformer_mit_b2_segformer_head_unet_fc_small_multi_step_ade_pretrained_freeze_embed_160k_ade20k151_finetune_ema_t20.py +2023-03-04 06:09:19,548 - mmseg - INFO - Iter [84000/160000] lr: 7.500e-05, eta: 4:29:34, time: 0.195, data_time: 0.007, memory: 59439, decode.loss_ce: 0.1984, decode.acc_seg: 91.8434, loss: 0.1984 +2023-03-04 06:09:29,178 - mmseg - INFO - Iter [84050/160000] lr: 7.500e-05, eta: 4:29:22, time: 0.193, data_time: 0.008, memory: 59439, decode.loss_ce: 0.1971, decode.acc_seg: 92.0166, loss: 0.1971 +2023-03-04 06:09:38,945 - mmseg - INFO - Iter [84100/160000] lr: 7.500e-05, eta: 4:29:11, time: 0.195, data_time: 0.008, memory: 59439, decode.loss_ce: 0.1920, decode.acc_seg: 92.1009, loss: 0.1920 +2023-03-04 06:09:49,137 - mmseg - INFO - Iter [84150/160000] lr: 7.500e-05, eta: 4:29:00, time: 0.204, data_time: 0.008, memory: 59439, decode.loss_ce: 0.1920, decode.acc_seg: 91.9964, loss: 0.1920 +2023-03-04 06:09:58,689 - mmseg - INFO - Iter [84200/160000] lr: 7.500e-05, eta: 4:28:48, time: 0.191, data_time: 0.008, memory: 59439, decode.loss_ce: 0.1942, decode.acc_seg: 92.0245, loss: 0.1942 +2023-03-04 06:10:08,388 - mmseg - INFO - Iter [84250/160000] lr: 7.500e-05, eta: 4:28:37, time: 0.194, data_time: 0.008, memory: 59439, decode.loss_ce: 0.1988, decode.acc_seg: 91.9097, loss: 0.1988 +2023-03-04 06:10:17,918 - mmseg - INFO - Iter [84300/160000] lr: 7.500e-05, eta: 4:28:25, time: 0.191, data_time: 0.008, memory: 59439, decode.loss_ce: 0.1901, decode.acc_seg: 92.1400, loss: 0.1901 +2023-03-04 06:10:27,750 - mmseg - INFO - Iter [84350/160000] lr: 7.500e-05, eta: 4:28:14, time: 0.197, data_time: 0.008, memory: 59439, decode.loss_ce: 0.1983, decode.acc_seg: 91.9526, loss: 0.1983 +2023-03-04 06:10:37,570 - mmseg - INFO - Iter [84400/160000] lr: 7.500e-05, eta: 4:28:02, time: 0.196, data_time: 0.007, memory: 59439, decode.loss_ce: 0.2038, decode.acc_seg: 91.7215, loss: 0.2038 +2023-03-04 06:10:47,314 - mmseg - INFO - Iter [84450/160000] lr: 7.500e-05, eta: 4:27:51, time: 0.195, data_time: 0.008, memory: 59439, decode.loss_ce: 0.1873, decode.acc_seg: 92.2763, loss: 0.1873 +2023-03-04 06:10:56,971 - mmseg - INFO - Iter [84500/160000] lr: 7.500e-05, eta: 4:27:40, time: 0.193, data_time: 0.008, memory: 59439, decode.loss_ce: 0.2033, decode.acc_seg: 91.7996, loss: 0.2033 +2023-03-04 06:11:06,656 - mmseg - INFO - Iter [84550/160000] lr: 7.500e-05, eta: 4:27:28, time: 0.194, data_time: 0.007, memory: 59439, decode.loss_ce: 0.1980, decode.acc_seg: 92.0430, loss: 0.1980 +2023-03-04 06:11:18,933 - mmseg - INFO - Iter [84600/160000] lr: 7.500e-05, eta: 4:27:19, time: 0.246, data_time: 0.055, memory: 59439, decode.loss_ce: 0.1912, decode.acc_seg: 92.1885, loss: 0.1912 +2023-03-04 06:11:28,693 - mmseg - INFO - Iter [84650/160000] lr: 7.500e-05, eta: 4:27:07, time: 0.195, data_time: 0.008, memory: 59439, decode.loss_ce: 0.1896, decode.acc_seg: 92.1775, loss: 0.1896 +2023-03-04 06:11:38,369 - mmseg - INFO - Iter [84700/160000] lr: 7.500e-05, eta: 4:26:56, time: 0.194, data_time: 0.007, memory: 59439, decode.loss_ce: 0.1921, decode.acc_seg: 92.0534, loss: 0.1921 +2023-03-04 06:11:48,036 - mmseg - INFO - Iter [84750/160000] lr: 7.500e-05, eta: 4:26:44, time: 0.193, data_time: 0.008, memory: 59439, decode.loss_ce: 0.1927, decode.acc_seg: 92.1279, loss: 0.1927 +2023-03-04 06:11:57,573 - mmseg - INFO - Iter [84800/160000] lr: 7.500e-05, eta: 4:26:33, time: 0.191, data_time: 0.008, memory: 59439, decode.loss_ce: 0.1935, decode.acc_seg: 92.0919, loss: 0.1935 +2023-03-04 06:12:07,225 - mmseg - INFO - Iter [84850/160000] lr: 7.500e-05, eta: 4:26:21, time: 0.193, data_time: 0.008, memory: 59439, decode.loss_ce: 0.1943, decode.acc_seg: 92.0133, loss: 0.1943 +2023-03-04 06:12:17,049 - mmseg - INFO - Iter [84900/160000] lr: 7.500e-05, eta: 4:26:10, time: 0.197, data_time: 0.008, memory: 59439, decode.loss_ce: 0.1921, decode.acc_seg: 91.9922, loss: 0.1921 +2023-03-04 06:12:26,849 - mmseg - INFO - Iter [84950/160000] lr: 7.500e-05, eta: 4:25:59, time: 0.196, data_time: 0.008, memory: 59439, decode.loss_ce: 0.2026, decode.acc_seg: 91.7861, loss: 0.2026 +2023-03-04 06:12:36,809 - mmseg - INFO - Exp name: ablation_segformer_mit_b2_segformer_head_unet_fc_small_multi_step_ade_pretrained_freeze_embed_160k_ade20k151_finetune_ema_t20.py +2023-03-04 06:12:36,809 - mmseg - INFO - Iter [85000/160000] lr: 7.500e-05, eta: 4:25:47, time: 0.199, data_time: 0.008, memory: 59439, decode.loss_ce: 0.1991, decode.acc_seg: 91.9426, loss: 0.1991 +2023-03-04 06:12:46,511 - mmseg - INFO - Iter [85050/160000] lr: 7.500e-05, eta: 4:25:36, time: 0.194, data_time: 0.007, memory: 59439, decode.loss_ce: 0.1921, decode.acc_seg: 92.1116, loss: 0.1921 +2023-03-04 06:12:56,562 - mmseg - INFO - Iter [85100/160000] lr: 7.500e-05, eta: 4:25:25, time: 0.201, data_time: 0.008, memory: 59439, decode.loss_ce: 0.1942, decode.acc_seg: 92.0001, loss: 0.1942 +2023-03-04 06:13:06,157 - mmseg - INFO - Iter [85150/160000] lr: 7.500e-05, eta: 4:25:13, time: 0.192, data_time: 0.008, memory: 59439, decode.loss_ce: 0.2036, decode.acc_seg: 91.8222, loss: 0.2036 +2023-03-04 06:13:18,199 - mmseg - INFO - Iter [85200/160000] lr: 7.500e-05, eta: 4:25:04, time: 0.241, data_time: 0.054, memory: 59439, decode.loss_ce: 0.1896, decode.acc_seg: 92.0966, loss: 0.1896 +2023-03-04 06:13:27,912 - mmseg - INFO - Iter [85250/160000] lr: 7.500e-05, eta: 4:24:52, time: 0.194, data_time: 0.008, memory: 59439, decode.loss_ce: 0.1926, decode.acc_seg: 92.0369, loss: 0.1926 +2023-03-04 06:13:37,648 - mmseg - INFO - Iter [85300/160000] lr: 7.500e-05, eta: 4:24:41, time: 0.195, data_time: 0.007, memory: 59439, decode.loss_ce: 0.1936, decode.acc_seg: 92.0891, loss: 0.1936 +2023-03-04 06:13:47,363 - mmseg - INFO - Iter [85350/160000] lr: 7.500e-05, eta: 4:24:30, time: 0.194, data_time: 0.008, memory: 59439, decode.loss_ce: 0.1941, decode.acc_seg: 92.0509, loss: 0.1941 +2023-03-04 06:13:57,114 - mmseg - INFO - Iter [85400/160000] lr: 7.500e-05, eta: 4:24:18, time: 0.195, data_time: 0.008, memory: 59439, decode.loss_ce: 0.1958, decode.acc_seg: 92.0076, loss: 0.1958 +2023-03-04 06:14:06,768 - mmseg - INFO - Iter [85450/160000] lr: 7.500e-05, eta: 4:24:07, time: 0.193, data_time: 0.008, memory: 59439, decode.loss_ce: 0.1845, decode.acc_seg: 92.2521, loss: 0.1845 +2023-03-04 06:14:16,363 - mmseg - INFO - Iter [85500/160000] lr: 7.500e-05, eta: 4:23:55, time: 0.192, data_time: 0.008, memory: 59439, decode.loss_ce: 0.1909, decode.acc_seg: 92.1672, loss: 0.1909 +2023-03-04 06:14:26,004 - mmseg - INFO - Iter [85550/160000] lr: 7.500e-05, eta: 4:23:44, time: 0.193, data_time: 0.008, memory: 59439, decode.loss_ce: 0.1918, decode.acc_seg: 92.1819, loss: 0.1918 +2023-03-04 06:14:35,821 - mmseg - INFO - Iter [85600/160000] lr: 7.500e-05, eta: 4:23:32, time: 0.196, data_time: 0.008, memory: 59439, decode.loss_ce: 0.1878, decode.acc_seg: 92.1641, loss: 0.1878 +2023-03-04 06:14:45,370 - mmseg - INFO - Iter [85650/160000] lr: 7.500e-05, eta: 4:23:21, time: 0.191, data_time: 0.008, memory: 59439, decode.loss_ce: 0.1946, decode.acc_seg: 92.0226, loss: 0.1946 +2023-03-04 06:14:54,876 - mmseg - INFO - Iter [85700/160000] lr: 7.500e-05, eta: 4:23:09, time: 0.190, data_time: 0.008, memory: 59439, decode.loss_ce: 0.1985, decode.acc_seg: 91.9487, loss: 0.1985 +2023-03-04 06:15:04,356 - mmseg - INFO - Iter [85750/160000] lr: 7.500e-05, eta: 4:22:58, time: 0.190, data_time: 0.007, memory: 59439, decode.loss_ce: 0.1953, decode.acc_seg: 91.9200, loss: 0.1953 +2023-03-04 06:15:13,938 - mmseg - INFO - Iter [85800/160000] lr: 7.500e-05, eta: 4:22:46, time: 0.192, data_time: 0.008, memory: 59439, decode.loss_ce: 0.1904, decode.acc_seg: 92.1976, loss: 0.1904 +2023-03-04 06:15:26,295 - mmseg - INFO - Iter [85850/160000] lr: 7.500e-05, eta: 4:22:37, time: 0.247, data_time: 0.056, memory: 59439, decode.loss_ce: 0.1916, decode.acc_seg: 92.1134, loss: 0.1916 +2023-03-04 06:15:35,842 - mmseg - INFO - Iter [85900/160000] lr: 7.500e-05, eta: 4:22:25, time: 0.191, data_time: 0.008, memory: 59439, decode.loss_ce: 0.1897, decode.acc_seg: 92.2723, loss: 0.1897 +2023-03-04 06:15:45,635 - mmseg - INFO - Iter [85950/160000] lr: 7.500e-05, eta: 4:22:14, time: 0.196, data_time: 0.008, memory: 59439, decode.loss_ce: 0.1906, decode.acc_seg: 92.1853, loss: 0.1906 +2023-03-04 06:15:55,434 - mmseg - INFO - Exp name: ablation_segformer_mit_b2_segformer_head_unet_fc_small_multi_step_ade_pretrained_freeze_embed_160k_ade20k151_finetune_ema_t20.py +2023-03-04 06:15:55,434 - mmseg - INFO - Iter [86000/160000] lr: 7.500e-05, eta: 4:22:03, time: 0.196, data_time: 0.007, memory: 59439, decode.loss_ce: 0.1968, decode.acc_seg: 91.9103, loss: 0.1968 +2023-03-04 06:16:05,309 - mmseg - INFO - Iter [86050/160000] lr: 7.500e-05, eta: 4:21:51, time: 0.198, data_time: 0.007, memory: 59439, decode.loss_ce: 0.1976, decode.acc_seg: 92.1531, loss: 0.1976 +2023-03-04 06:16:14,979 - mmseg - INFO - Iter [86100/160000] lr: 7.500e-05, eta: 4:21:40, time: 0.193, data_time: 0.008, memory: 59439, decode.loss_ce: 0.1880, decode.acc_seg: 92.1805, loss: 0.1880 +2023-03-04 06:16:24,662 - mmseg - INFO - Iter [86150/160000] lr: 7.500e-05, eta: 4:21:29, time: 0.194, data_time: 0.008, memory: 59439, decode.loss_ce: 0.1968, decode.acc_seg: 91.9924, loss: 0.1968 +2023-03-04 06:16:34,266 - mmseg - INFO - Iter [86200/160000] lr: 7.500e-05, eta: 4:21:17, time: 0.192, data_time: 0.008, memory: 59439, decode.loss_ce: 0.1945, decode.acc_seg: 91.9793, loss: 0.1945 +2023-03-04 06:16:43,868 - mmseg - INFO - Iter [86250/160000] lr: 7.500e-05, eta: 4:21:06, time: 0.192, data_time: 0.008, memory: 59439, decode.loss_ce: 0.1860, decode.acc_seg: 92.2923, loss: 0.1860 +2023-03-04 06:16:53,576 - mmseg - INFO - Iter [86300/160000] lr: 7.500e-05, eta: 4:20:54, time: 0.194, data_time: 0.008, memory: 59439, decode.loss_ce: 0.1963, decode.acc_seg: 91.9866, loss: 0.1963 +2023-03-04 06:17:03,485 - mmseg - INFO - Iter [86350/160000] lr: 7.500e-05, eta: 4:20:43, time: 0.198, data_time: 0.008, memory: 59439, decode.loss_ce: 0.1952, decode.acc_seg: 91.8884, loss: 0.1952 +2023-03-04 06:17:13,247 - mmseg - INFO - Iter [86400/160000] lr: 7.500e-05, eta: 4:20:32, time: 0.195, data_time: 0.008, memory: 59439, decode.loss_ce: 0.1906, decode.acc_seg: 92.0615, loss: 0.1906 +2023-03-04 06:17:25,425 - mmseg - INFO - Iter [86450/160000] lr: 7.500e-05, eta: 4:20:22, time: 0.244, data_time: 0.055, memory: 59439, decode.loss_ce: 0.1975, decode.acc_seg: 91.9154, loss: 0.1975 +2023-03-04 06:17:35,303 - mmseg - INFO - Iter [86500/160000] lr: 7.500e-05, eta: 4:20:11, time: 0.197, data_time: 0.007, memory: 59439, decode.loss_ce: 0.1986, decode.acc_seg: 91.8754, loss: 0.1986 +2023-03-04 06:17:44,976 - mmseg - INFO - Iter [86550/160000] lr: 7.500e-05, eta: 4:20:00, time: 0.194, data_time: 0.008, memory: 59439, decode.loss_ce: 0.1921, decode.acc_seg: 92.0986, loss: 0.1921 +2023-03-04 06:17:54,797 - mmseg - INFO - Iter [86600/160000] lr: 7.500e-05, eta: 4:19:48, time: 0.196, data_time: 0.008, memory: 59439, decode.loss_ce: 0.1988, decode.acc_seg: 91.9849, loss: 0.1988 +2023-03-04 06:18:04,728 - mmseg - INFO - Iter [86650/160000] lr: 7.500e-05, eta: 4:19:37, time: 0.198, data_time: 0.008, memory: 59439, decode.loss_ce: 0.1959, decode.acc_seg: 91.8953, loss: 0.1959 +2023-03-04 06:18:14,448 - mmseg - INFO - Iter [86700/160000] lr: 7.500e-05, eta: 4:19:26, time: 0.195, data_time: 0.008, memory: 59439, decode.loss_ce: 0.1959, decode.acc_seg: 92.0844, loss: 0.1959 +2023-03-04 06:18:24,050 - mmseg - INFO - Iter [86750/160000] lr: 7.500e-05, eta: 4:19:14, time: 0.192, data_time: 0.008, memory: 59439, decode.loss_ce: 0.1901, decode.acc_seg: 92.0767, loss: 0.1901 +2023-03-04 06:18:33,780 - mmseg - INFO - Iter [86800/160000] lr: 7.500e-05, eta: 4:19:03, time: 0.195, data_time: 0.007, memory: 59439, decode.loss_ce: 0.1950, decode.acc_seg: 92.0185, loss: 0.1950 +2023-03-04 06:18:43,355 - mmseg - INFO - Iter [86850/160000] lr: 7.500e-05, eta: 4:18:51, time: 0.191, data_time: 0.008, memory: 59439, decode.loss_ce: 0.1905, decode.acc_seg: 92.1981, loss: 0.1905 +2023-03-04 06:18:53,232 - mmseg - INFO - Iter [86900/160000] lr: 7.500e-05, eta: 4:18:40, time: 0.198, data_time: 0.008, memory: 59439, decode.loss_ce: 0.1961, decode.acc_seg: 91.9015, loss: 0.1961 +2023-03-04 06:19:02,895 - mmseg - INFO - Iter [86950/160000] lr: 7.500e-05, eta: 4:18:29, time: 0.193, data_time: 0.008, memory: 59439, decode.loss_ce: 0.1907, decode.acc_seg: 92.1435, loss: 0.1907 +2023-03-04 06:19:12,538 - mmseg - INFO - Exp name: ablation_segformer_mit_b2_segformer_head_unet_fc_small_multi_step_ade_pretrained_freeze_embed_160k_ade20k151_finetune_ema_t20.py +2023-03-04 06:19:12,539 - mmseg - INFO - Iter [87000/160000] lr: 7.500e-05, eta: 4:18:17, time: 0.193, data_time: 0.007, memory: 59439, decode.loss_ce: 0.1939, decode.acc_seg: 92.1498, loss: 0.1939 +2023-03-04 06:19:22,319 - mmseg - INFO - Iter [87050/160000] lr: 7.500e-05, eta: 4:18:06, time: 0.196, data_time: 0.008, memory: 59439, decode.loss_ce: 0.1992, decode.acc_seg: 91.8995, loss: 0.1992 +2023-03-04 06:19:34,490 - mmseg - INFO - Iter [87100/160000] lr: 7.500e-05, eta: 4:17:57, time: 0.243, data_time: 0.056, memory: 59439, decode.loss_ce: 0.1955, decode.acc_seg: 91.9944, loss: 0.1955 +2023-03-04 06:19:44,168 - mmseg - INFO - Iter [87150/160000] lr: 7.500e-05, eta: 4:17:45, time: 0.193, data_time: 0.008, memory: 59439, decode.loss_ce: 0.1957, decode.acc_seg: 91.9874, loss: 0.1957 +2023-03-04 06:19:53,876 - mmseg - INFO - Iter [87200/160000] lr: 7.500e-05, eta: 4:17:34, time: 0.194, data_time: 0.008, memory: 59439, decode.loss_ce: 0.1971, decode.acc_seg: 92.0608, loss: 0.1971 +2023-03-04 06:20:03,524 - mmseg - INFO - Iter [87250/160000] lr: 7.500e-05, eta: 4:17:22, time: 0.193, data_time: 0.008, memory: 59439, decode.loss_ce: 0.1932, decode.acc_seg: 92.0609, loss: 0.1932 +2023-03-04 06:20:13,453 - mmseg - INFO - Iter [87300/160000] lr: 7.500e-05, eta: 4:17:11, time: 0.199, data_time: 0.008, memory: 59439, decode.loss_ce: 0.1926, decode.acc_seg: 92.1950, loss: 0.1926 +2023-03-04 06:20:23,241 - mmseg - INFO - Iter [87350/160000] lr: 7.500e-05, eta: 4:17:00, time: 0.196, data_time: 0.007, memory: 59439, decode.loss_ce: 0.1867, decode.acc_seg: 92.3246, loss: 0.1867 +2023-03-04 06:20:32,878 - mmseg - INFO - Iter [87400/160000] lr: 7.500e-05, eta: 4:16:49, time: 0.193, data_time: 0.008, memory: 59439, decode.loss_ce: 0.1841, decode.acc_seg: 92.3378, loss: 0.1841 +2023-03-04 06:20:43,024 - mmseg - INFO - Iter [87450/160000] lr: 7.500e-05, eta: 4:16:38, time: 0.203, data_time: 0.007, memory: 59439, decode.loss_ce: 0.1949, decode.acc_seg: 92.0456, loss: 0.1949 +2023-03-04 06:20:53,005 - mmseg - INFO - Iter [87500/160000] lr: 7.500e-05, eta: 4:16:26, time: 0.200, data_time: 0.008, memory: 59439, decode.loss_ce: 0.1992, decode.acc_seg: 91.7626, loss: 0.1992 +2023-03-04 06:21:02,495 - mmseg - INFO - Iter [87550/160000] lr: 7.500e-05, eta: 4:16:15, time: 0.190, data_time: 0.008, memory: 59439, decode.loss_ce: 0.1985, decode.acc_seg: 91.8432, loss: 0.1985 +2023-03-04 06:21:12,152 - mmseg - INFO - Iter [87600/160000] lr: 7.500e-05, eta: 4:16:04, time: 0.193, data_time: 0.007, memory: 59439, decode.loss_ce: 0.1914, decode.acc_seg: 92.1483, loss: 0.1914 +2023-03-04 06:21:21,773 - mmseg - INFO - Iter [87650/160000] lr: 7.500e-05, eta: 4:15:52, time: 0.192, data_time: 0.008, memory: 59439, decode.loss_ce: 0.2084, decode.acc_seg: 91.5238, loss: 0.2084 +2023-03-04 06:21:31,276 - mmseg - INFO - Iter [87700/160000] lr: 7.500e-05, eta: 4:15:41, time: 0.190, data_time: 0.008, memory: 59439, decode.loss_ce: 0.1845, decode.acc_seg: 92.4279, loss: 0.1845 +2023-03-04 06:21:43,648 - mmseg - INFO - Iter [87750/160000] lr: 7.500e-05, eta: 4:15:31, time: 0.247, data_time: 0.056, memory: 59439, decode.loss_ce: 0.1896, decode.acc_seg: 92.1759, loss: 0.1896 +2023-03-04 06:21:53,710 - mmseg - INFO - Iter [87800/160000] lr: 7.500e-05, eta: 4:15:20, time: 0.201, data_time: 0.007, memory: 59439, decode.loss_ce: 0.1951, decode.acc_seg: 91.9004, loss: 0.1951 +2023-03-04 06:22:03,465 - mmseg - INFO - Iter [87850/160000] lr: 7.500e-05, eta: 4:15:09, time: 0.195, data_time: 0.008, memory: 59439, decode.loss_ce: 0.1891, decode.acc_seg: 92.2236, loss: 0.1891 +2023-03-04 06:22:13,165 - mmseg - INFO - Iter [87900/160000] lr: 7.500e-05, eta: 4:14:58, time: 0.194, data_time: 0.007, memory: 59439, decode.loss_ce: 0.1957, decode.acc_seg: 91.9423, loss: 0.1957 +2023-03-04 06:22:22,808 - mmseg - INFO - Iter [87950/160000] lr: 7.500e-05, eta: 4:14:46, time: 0.193, data_time: 0.008, memory: 59439, decode.loss_ce: 0.1922, decode.acc_seg: 92.1496, loss: 0.1922 +2023-03-04 06:22:32,469 - mmseg - INFO - Exp name: ablation_segformer_mit_b2_segformer_head_unet_fc_small_multi_step_ade_pretrained_freeze_embed_160k_ade20k151_finetune_ema_t20.py +2023-03-04 06:22:32,470 - mmseg - INFO - Iter [88000/160000] lr: 7.500e-05, eta: 4:14:35, time: 0.193, data_time: 0.008, memory: 59439, decode.loss_ce: 0.1895, decode.acc_seg: 92.1719, loss: 0.1895 +2023-03-04 06:22:42,246 - mmseg - INFO - Iter [88050/160000] lr: 7.500e-05, eta: 4:14:24, time: 0.196, data_time: 0.007, memory: 59439, decode.loss_ce: 0.1912, decode.acc_seg: 92.0834, loss: 0.1912 +2023-03-04 06:22:51,757 - mmseg - INFO - Iter [88100/160000] lr: 7.500e-05, eta: 4:14:12, time: 0.190, data_time: 0.007, memory: 59439, decode.loss_ce: 0.1897, decode.acc_seg: 92.2608, loss: 0.1897 +2023-03-04 06:23:01,773 - mmseg - INFO - Iter [88150/160000] lr: 7.500e-05, eta: 4:14:01, time: 0.200, data_time: 0.007, memory: 59439, decode.loss_ce: 0.2031, decode.acc_seg: 91.6040, loss: 0.2031 +2023-03-04 06:23:11,357 - mmseg - INFO - Iter [88200/160000] lr: 7.500e-05, eta: 4:13:50, time: 0.192, data_time: 0.008, memory: 59439, decode.loss_ce: 0.1970, decode.acc_seg: 91.8957, loss: 0.1970 +2023-03-04 06:23:20,949 - mmseg - INFO - Iter [88250/160000] lr: 7.500e-05, eta: 4:13:38, time: 0.192, data_time: 0.008, memory: 59439, decode.loss_ce: 0.2001, decode.acc_seg: 91.8933, loss: 0.2001 +2023-03-04 06:23:30,721 - mmseg - INFO - Iter [88300/160000] lr: 7.500e-05, eta: 4:13:27, time: 0.195, data_time: 0.008, memory: 59439, decode.loss_ce: 0.1934, decode.acc_seg: 91.9410, loss: 0.1934 +2023-03-04 06:23:43,063 - mmseg - INFO - Iter [88350/160000] lr: 7.500e-05, eta: 4:13:18, time: 0.247, data_time: 0.055, memory: 59439, decode.loss_ce: 0.2012, decode.acc_seg: 91.6956, loss: 0.2012 +2023-03-04 06:23:53,023 - mmseg - INFO - Iter [88400/160000] lr: 7.500e-05, eta: 4:13:07, time: 0.199, data_time: 0.007, memory: 59439, decode.loss_ce: 0.1869, decode.acc_seg: 92.2931, loss: 0.1869 +2023-03-04 06:24:02,598 - mmseg - INFO - Iter [88450/160000] lr: 7.500e-05, eta: 4:12:55, time: 0.192, data_time: 0.008, memory: 59439, decode.loss_ce: 0.1914, decode.acc_seg: 92.2130, loss: 0.1914 +2023-03-04 06:24:12,139 - mmseg - INFO - Iter [88500/160000] lr: 7.500e-05, eta: 4:12:44, time: 0.191, data_time: 0.008, memory: 59439, decode.loss_ce: 0.1963, decode.acc_seg: 91.9718, loss: 0.1963 +2023-03-04 06:24:22,279 - mmseg - INFO - Iter [88550/160000] lr: 7.500e-05, eta: 4:12:33, time: 0.203, data_time: 0.007, memory: 59439, decode.loss_ce: 0.2088, decode.acc_seg: 91.5438, loss: 0.2088 +2023-03-04 06:24:31,944 - mmseg - INFO - Iter [88600/160000] lr: 7.500e-05, eta: 4:12:21, time: 0.193, data_time: 0.008, memory: 59439, decode.loss_ce: 0.1926, decode.acc_seg: 92.0258, loss: 0.1926 +2023-03-04 06:24:41,566 - mmseg - INFO - Iter [88650/160000] lr: 7.500e-05, eta: 4:12:10, time: 0.192, data_time: 0.008, memory: 59439, decode.loss_ce: 0.2004, decode.acc_seg: 91.8220, loss: 0.2004 +2023-03-04 06:24:51,359 - mmseg - INFO - Iter [88700/160000] lr: 7.500e-05, eta: 4:11:59, time: 0.196, data_time: 0.008, memory: 59439, decode.loss_ce: 0.1942, decode.acc_seg: 92.0140, loss: 0.1942 +2023-03-04 06:25:00,854 - mmseg - INFO - Iter [88750/160000] lr: 7.500e-05, eta: 4:11:47, time: 0.190, data_time: 0.008, memory: 59439, decode.loss_ce: 0.1990, decode.acc_seg: 91.9380, loss: 0.1990 +2023-03-04 06:25:10,655 - mmseg - INFO - Iter [88800/160000] lr: 7.500e-05, eta: 4:11:36, time: 0.196, data_time: 0.007, memory: 59439, decode.loss_ce: 0.2016, decode.acc_seg: 91.8590, loss: 0.2016 +2023-03-04 06:25:20,469 - mmseg - INFO - Iter [88850/160000] lr: 7.500e-05, eta: 4:11:25, time: 0.196, data_time: 0.008, memory: 59439, decode.loss_ce: 0.1960, decode.acc_seg: 92.0784, loss: 0.1960 +2023-03-04 06:25:30,217 - mmseg - INFO - Iter [88900/160000] lr: 7.500e-05, eta: 4:11:13, time: 0.195, data_time: 0.008, memory: 59439, decode.loss_ce: 0.1961, decode.acc_seg: 91.9942, loss: 0.1961 +2023-03-04 06:25:40,163 - mmseg - INFO - Iter [88950/160000] lr: 7.500e-05, eta: 4:11:02, time: 0.199, data_time: 0.008, memory: 59439, decode.loss_ce: 0.1867, decode.acc_seg: 92.2580, loss: 0.1867 +2023-03-04 06:25:52,415 - mmseg - INFO - Exp name: ablation_segformer_mit_b2_segformer_head_unet_fc_small_multi_step_ade_pretrained_freeze_embed_160k_ade20k151_finetune_ema_t20.py +2023-03-04 06:25:52,415 - mmseg - INFO - Iter [89000/160000] lr: 7.500e-05, eta: 4:10:53, time: 0.245, data_time: 0.058, memory: 59439, decode.loss_ce: 0.1921, decode.acc_seg: 92.0865, loss: 0.1921 +2023-03-04 06:26:01,926 - mmseg - INFO - Iter [89050/160000] lr: 7.500e-05, eta: 4:10:42, time: 0.190, data_time: 0.008, memory: 59439, decode.loss_ce: 0.1892, decode.acc_seg: 92.0893, loss: 0.1892 +2023-03-04 06:26:12,157 - mmseg - INFO - Iter [89100/160000] lr: 7.500e-05, eta: 4:10:31, time: 0.205, data_time: 0.008, memory: 59439, decode.loss_ce: 0.1947, decode.acc_seg: 92.0755, loss: 0.1947 +2023-03-04 06:26:22,091 - mmseg - INFO - Iter [89150/160000] lr: 7.500e-05, eta: 4:10:19, time: 0.199, data_time: 0.008, memory: 59439, decode.loss_ce: 0.1975, decode.acc_seg: 91.9945, loss: 0.1975 +2023-03-04 06:26:31,584 - mmseg - INFO - Iter [89200/160000] lr: 7.500e-05, eta: 4:10:08, time: 0.190, data_time: 0.008, memory: 59439, decode.loss_ce: 0.1903, decode.acc_seg: 92.2215, loss: 0.1903 +2023-03-04 06:26:41,237 - mmseg - INFO - Iter [89250/160000] lr: 7.500e-05, eta: 4:09:57, time: 0.193, data_time: 0.007, memory: 59439, decode.loss_ce: 0.1872, decode.acc_seg: 92.2320, loss: 0.1872 +2023-03-04 06:26:50,760 - mmseg - INFO - Iter [89300/160000] lr: 7.500e-05, eta: 4:09:45, time: 0.190, data_time: 0.008, memory: 59439, decode.loss_ce: 0.1977, decode.acc_seg: 91.9082, loss: 0.1977 +2023-03-04 06:27:00,708 - mmseg - INFO - Iter [89350/160000] lr: 7.500e-05, eta: 4:09:34, time: 0.199, data_time: 0.007, memory: 59439, decode.loss_ce: 0.1906, decode.acc_seg: 92.1945, loss: 0.1906 +2023-03-04 06:27:10,327 - mmseg - INFO - Iter [89400/160000] lr: 7.500e-05, eta: 4:09:23, time: 0.192, data_time: 0.008, memory: 59439, decode.loss_ce: 0.1979, decode.acc_seg: 91.8789, loss: 0.1979 +2023-03-04 06:27:20,379 - mmseg - INFO - Iter [89450/160000] lr: 7.500e-05, eta: 4:09:12, time: 0.201, data_time: 0.008, memory: 59439, decode.loss_ce: 0.1906, decode.acc_seg: 92.0837, loss: 0.1906 +2023-03-04 06:27:29,951 - mmseg - INFO - Iter [89500/160000] lr: 7.500e-05, eta: 4:09:00, time: 0.191, data_time: 0.008, memory: 59439, decode.loss_ce: 0.1983, decode.acc_seg: 91.9590, loss: 0.1983 +2023-03-04 06:27:39,827 - mmseg - INFO - Iter [89550/160000] lr: 7.500e-05, eta: 4:08:49, time: 0.198, data_time: 0.007, memory: 59439, decode.loss_ce: 0.1940, decode.acc_seg: 91.9993, loss: 0.1940 +2023-03-04 06:27:49,458 - mmseg - INFO - Iter [89600/160000] lr: 7.500e-05, eta: 4:08:38, time: 0.193, data_time: 0.008, memory: 59439, decode.loss_ce: 0.2023, decode.acc_seg: 91.8975, loss: 0.2023 +2023-03-04 06:28:01,781 - mmseg - INFO - Iter [89650/160000] lr: 7.500e-05, eta: 4:08:29, time: 0.246, data_time: 0.054, memory: 59439, decode.loss_ce: 0.1978, decode.acc_seg: 92.0700, loss: 0.1978 +2023-03-04 06:28:11,529 - mmseg - INFO - Iter [89700/160000] lr: 7.500e-05, eta: 4:08:17, time: 0.195, data_time: 0.008, memory: 59439, decode.loss_ce: 0.1865, decode.acc_seg: 92.3101, loss: 0.1865 +2023-03-04 06:28:21,530 - mmseg - INFO - Iter [89750/160000] lr: 7.500e-05, eta: 4:08:06, time: 0.200, data_time: 0.008, memory: 59439, decode.loss_ce: 0.1966, decode.acc_seg: 91.9521, loss: 0.1966 +2023-03-04 06:28:31,555 - mmseg - INFO - Iter [89800/160000] lr: 7.500e-05, eta: 4:07:55, time: 0.200, data_time: 0.008, memory: 59439, decode.loss_ce: 0.2051, decode.acc_seg: 91.5848, loss: 0.2051 +2023-03-04 06:28:41,350 - mmseg - INFO - Iter [89850/160000] lr: 7.500e-05, eta: 4:07:44, time: 0.196, data_time: 0.008, memory: 59439, decode.loss_ce: 0.1936, decode.acc_seg: 92.0642, loss: 0.1936 +2023-03-04 06:28:51,213 - mmseg - INFO - Iter [89900/160000] lr: 7.500e-05, eta: 4:07:33, time: 0.197, data_time: 0.007, memory: 59439, decode.loss_ce: 0.1826, decode.acc_seg: 92.4681, loss: 0.1826 +2023-03-04 06:29:00,875 - mmseg - INFO - Iter [89950/160000] lr: 7.500e-05, eta: 4:07:21, time: 0.193, data_time: 0.008, memory: 59439, decode.loss_ce: 0.1871, decode.acc_seg: 92.2397, loss: 0.1871 +2023-03-04 06:29:10,443 - mmseg - INFO - Exp name: ablation_segformer_mit_b2_segformer_head_unet_fc_small_multi_step_ade_pretrained_freeze_embed_160k_ade20k151_finetune_ema_t20.py +2023-03-04 06:29:10,443 - mmseg - INFO - Iter [90000/160000] lr: 7.500e-05, eta: 4:07:10, time: 0.191, data_time: 0.008, memory: 59439, decode.loss_ce: 0.1908, decode.acc_seg: 92.1926, loss: 0.1908 +2023-03-04 06:29:20,158 - mmseg - INFO - Iter [90050/160000] lr: 7.500e-05, eta: 4:06:59, time: 0.195, data_time: 0.008, memory: 59439, decode.loss_ce: 0.1908, decode.acc_seg: 92.1744, loss: 0.1908 +2023-03-04 06:29:29,876 - mmseg - INFO - Iter [90100/160000] lr: 7.500e-05, eta: 4:06:48, time: 0.194, data_time: 0.008, memory: 59439, decode.loss_ce: 0.1972, decode.acc_seg: 91.8272, loss: 0.1972 +2023-03-04 06:29:39,960 - mmseg - INFO - Iter [90150/160000] lr: 7.500e-05, eta: 4:06:37, time: 0.202, data_time: 0.008, memory: 59439, decode.loss_ce: 0.2009, decode.acc_seg: 91.7874, loss: 0.2009 +2023-03-04 06:29:49,782 - mmseg - INFO - Iter [90200/160000] lr: 7.500e-05, eta: 4:06:25, time: 0.196, data_time: 0.008, memory: 59439, decode.loss_ce: 0.1940, decode.acc_seg: 91.9210, loss: 0.1940 +2023-03-04 06:30:02,195 - mmseg - INFO - Iter [90250/160000] lr: 7.500e-05, eta: 4:06:16, time: 0.248, data_time: 0.054, memory: 59439, decode.loss_ce: 0.1896, decode.acc_seg: 92.2008, loss: 0.1896 +2023-03-04 06:30:11,944 - mmseg - INFO - Iter [90300/160000] lr: 7.500e-05, eta: 4:06:05, time: 0.195, data_time: 0.008, memory: 59439, decode.loss_ce: 0.1890, decode.acc_seg: 92.2046, loss: 0.1890 +2023-03-04 06:30:22,159 - mmseg - INFO - Iter [90350/160000] lr: 7.500e-05, eta: 4:05:54, time: 0.204, data_time: 0.007, memory: 59439, decode.loss_ce: 0.1917, decode.acc_seg: 92.2035, loss: 0.1917 +2023-03-04 06:30:31,882 - mmseg - INFO - Iter [90400/160000] lr: 7.500e-05, eta: 4:05:43, time: 0.195, data_time: 0.008, memory: 59439, decode.loss_ce: 0.1906, decode.acc_seg: 92.2102, loss: 0.1906 +2023-03-04 06:30:41,696 - mmseg - INFO - Iter [90450/160000] lr: 7.500e-05, eta: 4:05:32, time: 0.196, data_time: 0.008, memory: 59439, decode.loss_ce: 0.1941, decode.acc_seg: 91.9878, loss: 0.1941 +2023-03-04 06:30:51,325 - mmseg - INFO - Iter [90500/160000] lr: 7.500e-05, eta: 4:05:20, time: 0.192, data_time: 0.007, memory: 59439, decode.loss_ce: 0.2046, decode.acc_seg: 91.6293, loss: 0.2046 +2023-03-04 06:31:00,897 - mmseg - INFO - Iter [90550/160000] lr: 7.500e-05, eta: 4:05:09, time: 0.192, data_time: 0.008, memory: 59439, decode.loss_ce: 0.1923, decode.acc_seg: 92.0355, loss: 0.1923 +2023-03-04 06:31:10,859 - mmseg - INFO - Iter [90600/160000] lr: 7.500e-05, eta: 4:04:58, time: 0.199, data_time: 0.007, memory: 59439, decode.loss_ce: 0.1986, decode.acc_seg: 91.8979, loss: 0.1986 +2023-03-04 06:31:20,470 - mmseg - INFO - Iter [90650/160000] lr: 7.500e-05, eta: 4:04:46, time: 0.192, data_time: 0.008, memory: 59439, decode.loss_ce: 0.1872, decode.acc_seg: 92.3484, loss: 0.1872 +2023-03-04 06:31:30,116 - mmseg - INFO - Iter [90700/160000] lr: 7.500e-05, eta: 4:04:35, time: 0.193, data_time: 0.008, memory: 59439, decode.loss_ce: 0.1927, decode.acc_seg: 92.1529, loss: 0.1927 +2023-03-04 06:31:39,872 - mmseg - INFO - Iter [90750/160000] lr: 7.500e-05, eta: 4:04:24, time: 0.195, data_time: 0.007, memory: 59439, decode.loss_ce: 0.1943, decode.acc_seg: 91.9926, loss: 0.1943 +2023-03-04 06:31:49,657 - mmseg - INFO - Iter [90800/160000] lr: 7.500e-05, eta: 4:04:13, time: 0.196, data_time: 0.007, memory: 59439, decode.loss_ce: 0.2026, decode.acc_seg: 91.7408, loss: 0.2026 +2023-03-04 06:31:59,353 - mmseg - INFO - Iter [90850/160000] lr: 7.500e-05, eta: 4:04:01, time: 0.194, data_time: 0.008, memory: 59439, decode.loss_ce: 0.1966, decode.acc_seg: 92.0854, loss: 0.1966 +2023-03-04 06:32:11,452 - mmseg - INFO - Iter [90900/160000] lr: 7.500e-05, eta: 4:03:52, time: 0.242, data_time: 0.058, memory: 59439, decode.loss_ce: 0.1878, decode.acc_seg: 92.1277, loss: 0.1878 +2023-03-04 06:32:20,944 - mmseg - INFO - Iter [90950/160000] lr: 7.500e-05, eta: 4:03:41, time: 0.190, data_time: 0.008, memory: 59439, decode.loss_ce: 0.1912, decode.acc_seg: 92.0973, loss: 0.1912 +2023-03-04 06:32:31,241 - mmseg - INFO - Exp name: ablation_segformer_mit_b2_segformer_head_unet_fc_small_multi_step_ade_pretrained_freeze_embed_160k_ade20k151_finetune_ema_t20.py +2023-03-04 06:32:31,241 - mmseg - INFO - Iter [91000/160000] lr: 7.500e-05, eta: 4:03:30, time: 0.206, data_time: 0.008, memory: 59439, decode.loss_ce: 0.1912, decode.acc_seg: 92.1848, loss: 0.1912 +2023-03-04 06:32:40,887 - mmseg - INFO - Iter [91050/160000] lr: 7.500e-05, eta: 4:03:19, time: 0.193, data_time: 0.008, memory: 59439, decode.loss_ce: 0.1917, decode.acc_seg: 92.2072, loss: 0.1917 +2023-03-04 06:32:50,392 - mmseg - INFO - Iter [91100/160000] lr: 7.500e-05, eta: 4:03:07, time: 0.190, data_time: 0.008, memory: 59439, decode.loss_ce: 0.1880, decode.acc_seg: 92.3135, loss: 0.1880 +2023-03-04 06:33:00,006 - mmseg - INFO - Iter [91150/160000] lr: 7.500e-05, eta: 4:02:56, time: 0.192, data_time: 0.008, memory: 59439, decode.loss_ce: 0.1915, decode.acc_seg: 92.1919, loss: 0.1915 +2023-03-04 06:33:09,636 - mmseg - INFO - Iter [91200/160000] lr: 7.500e-05, eta: 4:02:44, time: 0.193, data_time: 0.008, memory: 59439, decode.loss_ce: 0.1941, decode.acc_seg: 92.1415, loss: 0.1941 +2023-03-04 06:33:19,451 - mmseg - INFO - Iter [91250/160000] lr: 7.500e-05, eta: 4:02:33, time: 0.196, data_time: 0.008, memory: 59439, decode.loss_ce: 0.1907, decode.acc_seg: 92.2440, loss: 0.1907 +2023-03-04 06:33:29,167 - mmseg - INFO - Iter [91300/160000] lr: 7.500e-05, eta: 4:02:22, time: 0.194, data_time: 0.007, memory: 59439, decode.loss_ce: 0.1934, decode.acc_seg: 92.0131, loss: 0.1934 +2023-03-04 06:33:38,877 - mmseg - INFO - Iter [91350/160000] lr: 7.500e-05, eta: 4:02:11, time: 0.194, data_time: 0.008, memory: 59439, decode.loss_ce: 0.2065, decode.acc_seg: 91.6525, loss: 0.2065 +2023-03-04 06:33:48,403 - mmseg - INFO - Iter [91400/160000] lr: 7.500e-05, eta: 4:01:59, time: 0.190, data_time: 0.007, memory: 59439, decode.loss_ce: 0.1985, decode.acc_seg: 91.7444, loss: 0.1985 +2023-03-04 06:33:58,593 - mmseg - INFO - Iter [91450/160000] lr: 7.500e-05, eta: 4:01:49, time: 0.204, data_time: 0.007, memory: 59439, decode.loss_ce: 0.1989, decode.acc_seg: 91.8860, loss: 0.1989 +2023-03-04 06:34:11,057 - mmseg - INFO - Iter [91500/160000] lr: 7.500e-05, eta: 4:01:39, time: 0.249, data_time: 0.057, memory: 59439, decode.loss_ce: 0.1970, decode.acc_seg: 91.9227, loss: 0.1970 +2023-03-04 06:34:21,180 - mmseg - INFO - Iter [91550/160000] lr: 7.500e-05, eta: 4:01:28, time: 0.202, data_time: 0.008, memory: 59439, decode.loss_ce: 0.1962, decode.acc_seg: 91.9311, loss: 0.1962 +2023-03-04 06:34:30,885 - mmseg - INFO - Iter [91600/160000] lr: 7.500e-05, eta: 4:01:17, time: 0.194, data_time: 0.008, memory: 59439, decode.loss_ce: 0.1998, decode.acc_seg: 91.8083, loss: 0.1998 +2023-03-04 06:34:40,601 - mmseg - INFO - Iter [91650/160000] lr: 7.500e-05, eta: 4:01:06, time: 0.195, data_time: 0.008, memory: 59439, decode.loss_ce: 0.1975, decode.acc_seg: 91.8490, loss: 0.1975 +2023-03-04 06:34:50,164 - mmseg - INFO - Iter [91700/160000] lr: 7.500e-05, eta: 4:00:55, time: 0.191, data_time: 0.008, memory: 59439, decode.loss_ce: 0.2054, decode.acc_seg: 91.7107, loss: 0.2054 +2023-03-04 06:34:59,840 - mmseg - INFO - Iter [91750/160000] lr: 7.500e-05, eta: 4:00:43, time: 0.194, data_time: 0.008, memory: 59439, decode.loss_ce: 0.1918, decode.acc_seg: 92.2176, loss: 0.1918 +2023-03-04 06:35:09,444 - mmseg - INFO - Iter [91800/160000] lr: 7.500e-05, eta: 4:00:32, time: 0.192, data_time: 0.008, memory: 59439, decode.loss_ce: 0.1927, decode.acc_seg: 92.1070, loss: 0.1927 +2023-03-04 06:35:19,076 - mmseg - INFO - Iter [91850/160000] lr: 7.500e-05, eta: 4:00:21, time: 0.193, data_time: 0.008, memory: 59439, decode.loss_ce: 0.1920, decode.acc_seg: 92.0243, loss: 0.1920 +2023-03-04 06:35:28,936 - mmseg - INFO - Iter [91900/160000] lr: 7.500e-05, eta: 4:00:10, time: 0.197, data_time: 0.007, memory: 59439, decode.loss_ce: 0.2020, decode.acc_seg: 91.7004, loss: 0.2020 +2023-03-04 06:35:38,774 - mmseg - INFO - Iter [91950/160000] lr: 7.500e-05, eta: 3:59:59, time: 0.197, data_time: 0.008, memory: 59439, decode.loss_ce: 0.1937, decode.acc_seg: 92.0682, loss: 0.1937 +2023-03-04 06:35:48,337 - mmseg - INFO - Exp name: ablation_segformer_mit_b2_segformer_head_unet_fc_small_multi_step_ade_pretrained_freeze_embed_160k_ade20k151_finetune_ema_t20.py +2023-03-04 06:35:48,337 - mmseg - INFO - Iter [92000/160000] lr: 7.500e-05, eta: 3:59:47, time: 0.191, data_time: 0.008, memory: 59439, decode.loss_ce: 0.1943, decode.acc_seg: 92.0413, loss: 0.1943 +2023-03-04 06:35:57,985 - mmseg - INFO - Iter [92050/160000] lr: 7.500e-05, eta: 3:59:36, time: 0.193, data_time: 0.008, memory: 59439, decode.loss_ce: 0.1893, decode.acc_seg: 92.0958, loss: 0.1893 +2023-03-04 06:36:07,685 - mmseg - INFO - Iter [92100/160000] lr: 7.500e-05, eta: 3:59:25, time: 0.194, data_time: 0.007, memory: 59439, decode.loss_ce: 0.1895, decode.acc_seg: 92.2866, loss: 0.1895 +2023-03-04 06:36:19,716 - mmseg - INFO - Iter [92150/160000] lr: 7.500e-05, eta: 3:59:15, time: 0.241, data_time: 0.056, memory: 59439, decode.loss_ce: 0.1940, decode.acc_seg: 92.0190, loss: 0.1940 +2023-03-04 06:36:29,534 - mmseg - INFO - Iter [92200/160000] lr: 7.500e-05, eta: 3:59:04, time: 0.196, data_time: 0.008, memory: 59439, decode.loss_ce: 0.1950, decode.acc_seg: 92.0141, loss: 0.1950 +2023-03-04 06:36:39,088 - mmseg - INFO - Iter [92250/160000] lr: 7.500e-05, eta: 3:58:53, time: 0.191, data_time: 0.008, memory: 59439, decode.loss_ce: 0.1902, decode.acc_seg: 92.2733, loss: 0.1902 +2023-03-04 06:36:48,700 - mmseg - INFO - Iter [92300/160000] lr: 7.500e-05, eta: 3:58:41, time: 0.192, data_time: 0.008, memory: 59439, decode.loss_ce: 0.1963, decode.acc_seg: 92.0951, loss: 0.1963 +2023-03-04 06:36:58,355 - mmseg - INFO - Iter [92350/160000] lr: 7.500e-05, eta: 3:58:30, time: 0.193, data_time: 0.008, memory: 59439, decode.loss_ce: 0.1940, decode.acc_seg: 92.0942, loss: 0.1940 +2023-03-04 06:37:08,048 - mmseg - INFO - Iter [92400/160000] lr: 7.500e-05, eta: 3:58:19, time: 0.194, data_time: 0.008, memory: 59439, decode.loss_ce: 0.1949, decode.acc_seg: 92.0022, loss: 0.1949 +2023-03-04 06:37:17,934 - mmseg - INFO - Iter [92450/160000] lr: 7.500e-05, eta: 3:58:08, time: 0.198, data_time: 0.008, memory: 59439, decode.loss_ce: 0.1848, decode.acc_seg: 92.3661, loss: 0.1848 +2023-03-04 06:37:27,631 - mmseg - INFO - Iter [92500/160000] lr: 7.500e-05, eta: 3:57:57, time: 0.194, data_time: 0.008, memory: 59439, decode.loss_ce: 0.1931, decode.acc_seg: 92.0980, loss: 0.1931 +2023-03-04 06:37:37,320 - mmseg - INFO - Iter [92550/160000] lr: 7.500e-05, eta: 3:57:45, time: 0.194, data_time: 0.008, memory: 59439, decode.loss_ce: 0.1982, decode.acc_seg: 91.8844, loss: 0.1982 +2023-03-04 06:37:46,945 - mmseg - INFO - Iter [92600/160000] lr: 7.500e-05, eta: 3:57:34, time: 0.192, data_time: 0.008, memory: 59439, decode.loss_ce: 0.1986, decode.acc_seg: 91.9160, loss: 0.1986 +2023-03-04 06:37:56,610 - mmseg - INFO - Iter [92650/160000] lr: 7.500e-05, eta: 3:57:23, time: 0.193, data_time: 0.007, memory: 59439, decode.loss_ce: 0.1998, decode.acc_seg: 91.9155, loss: 0.1998 +2023-03-04 06:38:06,354 - mmseg - INFO - Iter [92700/160000] lr: 7.500e-05, eta: 3:57:12, time: 0.195, data_time: 0.008, memory: 59439, decode.loss_ce: 0.1949, decode.acc_seg: 92.0919, loss: 0.1949 +2023-03-04 06:38:16,265 - mmseg - INFO - Iter [92750/160000] lr: 7.500e-05, eta: 3:57:01, time: 0.198, data_time: 0.008, memory: 59439, decode.loss_ce: 0.1929, decode.acc_seg: 92.0515, loss: 0.1929 +2023-03-04 06:38:28,511 - mmseg - INFO - Iter [92800/160000] lr: 7.500e-05, eta: 3:56:51, time: 0.245, data_time: 0.055, memory: 59439, decode.loss_ce: 0.1916, decode.acc_seg: 92.1774, loss: 0.1916 +2023-03-04 06:38:38,186 - mmseg - INFO - Iter [92850/160000] lr: 7.500e-05, eta: 3:56:40, time: 0.193, data_time: 0.008, memory: 59439, decode.loss_ce: 0.1919, decode.acc_seg: 92.1329, loss: 0.1919 +2023-03-04 06:38:47,749 - mmseg - INFO - Iter [92900/160000] lr: 7.500e-05, eta: 3:56:29, time: 0.191, data_time: 0.008, memory: 59439, decode.loss_ce: 0.2038, decode.acc_seg: 91.7582, loss: 0.2038 +2023-03-04 06:38:57,820 - mmseg - INFO - Iter [92950/160000] lr: 7.500e-05, eta: 3:56:18, time: 0.201, data_time: 0.008, memory: 59439, decode.loss_ce: 0.1997, decode.acc_seg: 91.8916, loss: 0.1997 +2023-03-04 06:39:07,585 - mmseg - INFO - Exp name: ablation_segformer_mit_b2_segformer_head_unet_fc_small_multi_step_ade_pretrained_freeze_embed_160k_ade20k151_finetune_ema_t20.py +2023-03-04 06:39:07,586 - mmseg - INFO - Iter [93000/160000] lr: 7.500e-05, eta: 3:56:07, time: 0.195, data_time: 0.007, memory: 59439, decode.loss_ce: 0.2003, decode.acc_seg: 91.8369, loss: 0.2003 +2023-03-04 06:39:17,352 - mmseg - INFO - Iter [93050/160000] lr: 7.500e-05, eta: 3:55:56, time: 0.195, data_time: 0.007, memory: 59439, decode.loss_ce: 0.1980, decode.acc_seg: 91.8202, loss: 0.1980 +2023-03-04 06:39:27,198 - mmseg - INFO - Iter [93100/160000] lr: 7.500e-05, eta: 3:55:45, time: 0.197, data_time: 0.007, memory: 59439, decode.loss_ce: 0.1869, decode.acc_seg: 92.4060, loss: 0.1869 +2023-03-04 06:39:37,161 - mmseg - INFO - Iter [93150/160000] lr: 7.500e-05, eta: 3:55:34, time: 0.199, data_time: 0.007, memory: 59439, decode.loss_ce: 0.1994, decode.acc_seg: 91.8227, loss: 0.1994 +2023-03-04 06:39:46,724 - mmseg - INFO - Iter [93200/160000] lr: 7.500e-05, eta: 3:55:22, time: 0.191, data_time: 0.008, memory: 59439, decode.loss_ce: 0.1828, decode.acc_seg: 92.4110, loss: 0.1828 +2023-03-04 06:39:56,361 - mmseg - INFO - Iter [93250/160000] lr: 7.500e-05, eta: 3:55:11, time: 0.193, data_time: 0.008, memory: 59439, decode.loss_ce: 0.1953, decode.acc_seg: 91.9903, loss: 0.1953 +2023-03-04 06:40:05,984 - mmseg - INFO - Iter [93300/160000] lr: 7.500e-05, eta: 3:55:00, time: 0.192, data_time: 0.008, memory: 59439, decode.loss_ce: 0.1951, decode.acc_seg: 91.9715, loss: 0.1951 +2023-03-04 06:40:15,745 - mmseg - INFO - Iter [93350/160000] lr: 7.500e-05, eta: 3:54:49, time: 0.195, data_time: 0.008, memory: 59439, decode.loss_ce: 0.1951, decode.acc_seg: 92.0629, loss: 0.1951 +2023-03-04 06:40:27,879 - mmseg - INFO - Iter [93400/160000] lr: 7.500e-05, eta: 3:54:39, time: 0.243, data_time: 0.055, memory: 59439, decode.loss_ce: 0.1899, decode.acc_seg: 92.0858, loss: 0.1899 +2023-03-04 06:40:37,531 - mmseg - INFO - Iter [93450/160000] lr: 7.500e-05, eta: 3:54:28, time: 0.193, data_time: 0.008, memory: 59439, decode.loss_ce: 0.1884, decode.acc_seg: 92.2511, loss: 0.1884 +2023-03-04 06:40:47,339 - mmseg - INFO - Iter [93500/160000] lr: 7.500e-05, eta: 3:54:17, time: 0.196, data_time: 0.008, memory: 59439, decode.loss_ce: 0.1927, decode.acc_seg: 92.2383, loss: 0.1927 +2023-03-04 06:40:56,956 - mmseg - INFO - Iter [93550/160000] lr: 7.500e-05, eta: 3:54:06, time: 0.192, data_time: 0.008, memory: 59439, decode.loss_ce: 0.1896, decode.acc_seg: 92.2488, loss: 0.1896 +2023-03-04 06:41:06,467 - mmseg - INFO - Iter [93600/160000] lr: 7.500e-05, eta: 3:53:54, time: 0.190, data_time: 0.008, memory: 59439, decode.loss_ce: 0.1896, decode.acc_seg: 92.2273, loss: 0.1896 +2023-03-04 06:41:16,104 - mmseg - INFO - Iter [93650/160000] lr: 7.500e-05, eta: 3:53:43, time: 0.193, data_time: 0.008, memory: 59439, decode.loss_ce: 0.1901, decode.acc_seg: 92.0503, loss: 0.1901 +2023-03-04 06:41:25,739 - mmseg - INFO - Iter [93700/160000] lr: 7.500e-05, eta: 3:53:32, time: 0.193, data_time: 0.008, memory: 59439, decode.loss_ce: 0.1938, decode.acc_seg: 92.1552, loss: 0.1938 +2023-03-04 06:41:36,153 - mmseg - INFO - Iter [93750/160000] lr: 7.500e-05, eta: 3:53:21, time: 0.208, data_time: 0.007, memory: 59439, decode.loss_ce: 0.1927, decode.acc_seg: 92.0313, loss: 0.1927 +2023-03-04 06:41:45,834 - mmseg - INFO - Iter [93800/160000] lr: 7.500e-05, eta: 3:53:10, time: 0.194, data_time: 0.008, memory: 59439, decode.loss_ce: 0.2031, decode.acc_seg: 91.7130, loss: 0.2031 +2023-03-04 06:41:55,455 - mmseg - INFO - Iter [93850/160000] lr: 7.500e-05, eta: 3:52:59, time: 0.192, data_time: 0.008, memory: 59439, decode.loss_ce: 0.1976, decode.acc_seg: 91.8675, loss: 0.1976 +2023-03-04 06:42:05,056 - mmseg - INFO - Iter [93900/160000] lr: 7.500e-05, eta: 3:52:47, time: 0.192, data_time: 0.008, memory: 59439, decode.loss_ce: 0.1930, decode.acc_seg: 92.0895, loss: 0.1930 +2023-03-04 06:42:14,746 - mmseg - INFO - Iter [93950/160000] lr: 7.500e-05, eta: 3:52:36, time: 0.194, data_time: 0.007, memory: 59439, decode.loss_ce: 0.1906, decode.acc_seg: 92.0921, loss: 0.1906 +2023-03-04 06:42:24,260 - mmseg - INFO - Exp name: ablation_segformer_mit_b2_segformer_head_unet_fc_small_multi_step_ade_pretrained_freeze_embed_160k_ade20k151_finetune_ema_t20.py +2023-03-04 06:42:24,260 - mmseg - INFO - Iter [94000/160000] lr: 7.500e-05, eta: 3:52:25, time: 0.190, data_time: 0.007, memory: 59439, decode.loss_ce: 0.1949, decode.acc_seg: 92.0886, loss: 0.1949 +2023-03-04 06:42:36,617 - mmseg - INFO - Iter [94050/160000] lr: 7.500e-05, eta: 3:52:16, time: 0.247, data_time: 0.055, memory: 59439, decode.loss_ce: 0.1887, decode.acc_seg: 92.2135, loss: 0.1887 +2023-03-04 06:42:46,363 - mmseg - INFO - Iter [94100/160000] lr: 7.500e-05, eta: 3:52:04, time: 0.195, data_time: 0.008, memory: 59439, decode.loss_ce: 0.1959, decode.acc_seg: 91.9181, loss: 0.1959 +2023-03-04 06:42:55,955 - mmseg - INFO - Iter [94150/160000] lr: 7.500e-05, eta: 3:51:53, time: 0.192, data_time: 0.007, memory: 59439, decode.loss_ce: 0.1922, decode.acc_seg: 92.1723, loss: 0.1922 +2023-03-04 06:43:05,640 - mmseg - INFO - Iter [94200/160000] lr: 7.500e-05, eta: 3:51:42, time: 0.194, data_time: 0.008, memory: 59439, decode.loss_ce: 0.1918, decode.acc_seg: 92.2060, loss: 0.1918 +2023-03-04 06:43:15,142 - mmseg - INFO - Iter [94250/160000] lr: 7.500e-05, eta: 3:51:31, time: 0.190, data_time: 0.008, memory: 59439, decode.loss_ce: 0.1911, decode.acc_seg: 92.2315, loss: 0.1911 +2023-03-04 06:43:24,770 - mmseg - INFO - Iter [94300/160000] lr: 7.500e-05, eta: 3:51:20, time: 0.193, data_time: 0.007, memory: 59439, decode.loss_ce: 0.1891, decode.acc_seg: 92.1945, loss: 0.1891 +2023-03-04 06:43:34,790 - mmseg - INFO - Iter [94350/160000] lr: 7.500e-05, eta: 3:51:09, time: 0.200, data_time: 0.007, memory: 59439, decode.loss_ce: 0.1891, decode.acc_seg: 92.1034, loss: 0.1891 +2023-03-04 06:43:44,349 - mmseg - INFO - Iter [94400/160000] lr: 7.500e-05, eta: 3:50:57, time: 0.191, data_time: 0.007, memory: 59439, decode.loss_ce: 0.2001, decode.acc_seg: 91.6694, loss: 0.2001 +2023-03-04 06:43:54,070 - mmseg - INFO - Iter [94450/160000] lr: 7.500e-05, eta: 3:50:46, time: 0.194, data_time: 0.008, memory: 59439, decode.loss_ce: 0.1819, decode.acc_seg: 92.4120, loss: 0.1819 +2023-03-04 06:44:04,273 - mmseg - INFO - Iter [94500/160000] lr: 7.500e-05, eta: 3:50:35, time: 0.204, data_time: 0.008, memory: 59439, decode.loss_ce: 0.1876, decode.acc_seg: 92.2277, loss: 0.1876 +2023-03-04 06:44:13,896 - mmseg - INFO - Iter [94550/160000] lr: 7.500e-05, eta: 3:50:24, time: 0.192, data_time: 0.008, memory: 59439, decode.loss_ce: 0.1981, decode.acc_seg: 91.9223, loss: 0.1981 +2023-03-04 06:44:23,502 - mmseg - INFO - Iter [94600/160000] lr: 7.500e-05, eta: 3:50:13, time: 0.192, data_time: 0.008, memory: 59439, decode.loss_ce: 0.1864, decode.acc_seg: 92.3234, loss: 0.1864 +2023-03-04 06:44:33,275 - mmseg - INFO - Iter [94650/160000] lr: 7.500e-05, eta: 3:50:02, time: 0.195, data_time: 0.008, memory: 59439, decode.loss_ce: 0.1961, decode.acc_seg: 92.0808, loss: 0.1961 +2023-03-04 06:44:45,432 - mmseg - INFO - Iter [94700/160000] lr: 7.500e-05, eta: 3:49:52, time: 0.243, data_time: 0.055, memory: 59439, decode.loss_ce: 0.1927, decode.acc_seg: 92.1408, loss: 0.1927 +2023-03-04 06:44:55,400 - mmseg - INFO - Iter [94750/160000] lr: 7.500e-05, eta: 3:49:41, time: 0.199, data_time: 0.008, memory: 59439, decode.loss_ce: 0.1871, decode.acc_seg: 92.3436, loss: 0.1871 +2023-03-04 06:45:05,273 - mmseg - INFO - Iter [94800/160000] lr: 7.500e-05, eta: 3:49:30, time: 0.197, data_time: 0.007, memory: 59439, decode.loss_ce: 0.2061, decode.acc_seg: 91.7837, loss: 0.2061 +2023-03-04 06:45:14,972 - mmseg - INFO - Iter [94850/160000] lr: 7.500e-05, eta: 3:49:19, time: 0.194, data_time: 0.008, memory: 59439, decode.loss_ce: 0.1932, decode.acc_seg: 92.0676, loss: 0.1932 +2023-03-04 06:45:24,579 - mmseg - INFO - Iter [94900/160000] lr: 7.500e-05, eta: 3:49:08, time: 0.192, data_time: 0.008, memory: 59439, decode.loss_ce: 0.1937, decode.acc_seg: 92.2524, loss: 0.1937 +2023-03-04 06:45:34,362 - mmseg - INFO - Iter [94950/160000] lr: 7.500e-05, eta: 3:48:57, time: 0.196, data_time: 0.008, memory: 59439, decode.loss_ce: 0.1972, decode.acc_seg: 91.9092, loss: 0.1972 +2023-03-04 06:45:43,958 - mmseg - INFO - Exp name: ablation_segformer_mit_b2_segformer_head_unet_fc_small_multi_step_ade_pretrained_freeze_embed_160k_ade20k151_finetune_ema_t20.py +2023-03-04 06:45:43,958 - mmseg - INFO - Iter [95000/160000] lr: 7.500e-05, eta: 3:48:46, time: 0.192, data_time: 0.008, memory: 59439, decode.loss_ce: 0.1969, decode.acc_seg: 91.9955, loss: 0.1969 +2023-03-04 06:45:53,673 - mmseg - INFO - Iter [95050/160000] lr: 7.500e-05, eta: 3:48:35, time: 0.194, data_time: 0.007, memory: 59439, decode.loss_ce: 0.2047, decode.acc_seg: 91.5604, loss: 0.2047 +2023-03-04 06:46:03,557 - mmseg - INFO - Iter [95100/160000] lr: 7.500e-05, eta: 3:48:24, time: 0.198, data_time: 0.007, memory: 59439, decode.loss_ce: 0.1911, decode.acc_seg: 92.0991, loss: 0.1911 +2023-03-04 06:46:13,292 - mmseg - INFO - Iter [95150/160000] lr: 7.500e-05, eta: 3:48:12, time: 0.195, data_time: 0.007, memory: 59439, decode.loss_ce: 0.1914, decode.acc_seg: 92.1201, loss: 0.1914 +2023-03-04 06:46:23,017 - mmseg - INFO - Iter [95200/160000] lr: 7.500e-05, eta: 3:48:01, time: 0.194, data_time: 0.008, memory: 59439, decode.loss_ce: 0.1923, decode.acc_seg: 92.1337, loss: 0.1923 +2023-03-04 06:46:32,686 - mmseg - INFO - Iter [95250/160000] lr: 7.500e-05, eta: 3:47:50, time: 0.193, data_time: 0.007, memory: 59439, decode.loss_ce: 0.1995, decode.acc_seg: 91.9228, loss: 0.1995 +2023-03-04 06:46:44,836 - mmseg - INFO - Iter [95300/160000] lr: 7.500e-05, eta: 3:47:41, time: 0.243, data_time: 0.056, memory: 59439, decode.loss_ce: 0.1972, decode.acc_seg: 91.7768, loss: 0.1972 +2023-03-04 06:46:54,533 - mmseg - INFO - Iter [95350/160000] lr: 7.500e-05, eta: 3:47:30, time: 0.194, data_time: 0.008, memory: 59439, decode.loss_ce: 0.1874, decode.acc_seg: 92.2768, loss: 0.1874 +2023-03-04 06:47:04,410 - mmseg - INFO - Iter [95400/160000] lr: 7.500e-05, eta: 3:47:19, time: 0.198, data_time: 0.007, memory: 59439, decode.loss_ce: 0.1910, decode.acc_seg: 92.0950, loss: 0.1910 +2023-03-04 06:47:14,325 - mmseg - INFO - Iter [95450/160000] lr: 7.500e-05, eta: 3:47:08, time: 0.198, data_time: 0.007, memory: 59439, decode.loss_ce: 0.1979, decode.acc_seg: 91.9529, loss: 0.1979 +2023-03-04 06:47:23,927 - mmseg - INFO - Iter [95500/160000] lr: 7.500e-05, eta: 3:46:56, time: 0.192, data_time: 0.008, memory: 59439, decode.loss_ce: 0.1986, decode.acc_seg: 91.9821, loss: 0.1986 +2023-03-04 06:47:33,584 - mmseg - INFO - Iter [95550/160000] lr: 7.500e-05, eta: 3:46:45, time: 0.193, data_time: 0.008, memory: 59439, decode.loss_ce: 0.2028, decode.acc_seg: 91.7897, loss: 0.2028 +2023-03-04 06:47:43,233 - mmseg - INFO - Iter [95600/160000] lr: 7.500e-05, eta: 3:46:34, time: 0.193, data_time: 0.008, memory: 59439, decode.loss_ce: 0.1955, decode.acc_seg: 91.9718, loss: 0.1955 +2023-03-04 06:47:52,788 - mmseg - INFO - Iter [95650/160000] lr: 7.500e-05, eta: 3:46:23, time: 0.191, data_time: 0.008, memory: 59439, decode.loss_ce: 0.1964, decode.acc_seg: 91.9919, loss: 0.1964 +2023-03-04 06:48:02,502 - mmseg - INFO - Iter [95700/160000] lr: 7.500e-05, eta: 3:46:12, time: 0.194, data_time: 0.008, memory: 59439, decode.loss_ce: 0.1997, decode.acc_seg: 91.9178, loss: 0.1997 +2023-03-04 06:48:12,107 - mmseg - INFO - Iter [95750/160000] lr: 7.500e-05, eta: 3:46:00, time: 0.192, data_time: 0.008, memory: 59439, decode.loss_ce: 0.2017, decode.acc_seg: 91.7975, loss: 0.2017 +2023-03-04 06:48:21,698 - mmseg - INFO - Iter [95800/160000] lr: 7.500e-05, eta: 3:45:49, time: 0.192, data_time: 0.007, memory: 59439, decode.loss_ce: 0.1905, decode.acc_seg: 92.0856, loss: 0.1905 +2023-03-04 06:48:31,408 - mmseg - INFO - Iter [95850/160000] lr: 7.500e-05, eta: 3:45:38, time: 0.194, data_time: 0.008, memory: 59439, decode.loss_ce: 0.1953, decode.acc_seg: 92.1248, loss: 0.1953 +2023-03-04 06:48:41,410 - mmseg - INFO - Iter [95900/160000] lr: 7.500e-05, eta: 3:45:27, time: 0.200, data_time: 0.008, memory: 59439, decode.loss_ce: 0.1963, decode.acc_seg: 92.0455, loss: 0.1963 +2023-03-04 06:48:53,878 - mmseg - INFO - Iter [95950/160000] lr: 7.500e-05, eta: 3:45:18, time: 0.249, data_time: 0.056, memory: 59439, decode.loss_ce: 0.2011, decode.acc_seg: 91.7427, loss: 0.2011 +2023-03-04 06:49:03,782 - mmseg - INFO - Swap parameters (after train) after iter [96000] +2023-03-04 06:49:03,794 - mmseg - INFO - Saving checkpoint at 96000 iterations +2023-03-04 06:49:04,806 - mmseg - INFO - Exp name: ablation_segformer_mit_b2_segformer_head_unet_fc_small_multi_step_ade_pretrained_freeze_embed_160k_ade20k151_finetune_ema_t20.py +2023-03-04 06:49:04,807 - mmseg - INFO - Iter [96000/160000] lr: 7.500e-05, eta: 3:45:08, time: 0.219, data_time: 0.008, memory: 59439, decode.loss_ce: 0.2046, decode.acc_seg: 91.6882, loss: 0.2046 +2023-03-04 06:52:33,408 - mmseg - INFO - per class results: +2023-03-04 06:52:33,421 - mmseg - INFO - ++---------------------+-------------------------------------------------------------------------------------------------------------------------+ +| Class | IoU 0,1,2,3,4,5,6,7,8,9,10,11,12,13,14,15,16,17,18,19 | ++---------------------+-------------------------------------------------------------------------------------------------------------------------+ +| background | nan,nan,nan,nan,nan,nan,nan,nan,nan,nan,nan,nan,nan,nan,nan,nan,nan,nan,nan,nan | +| wall | 77.49,77.5,77.52,77.55,77.54,77.55,77.57,77.58,77.58,77.59,77.6,77.59,77.61,77.61,77.61,77.61,77.61,77.62,77.61,77.62 | +| building | 81.6,81.6,81.6,81.63,81.63,81.63,81.64,81.64,81.64,81.65,81.65,81.66,81.67,81.66,81.67,81.67,81.67,81.68,81.67,81.68 | +| sky | 94.44,94.44,94.45,94.45,94.45,94.45,94.46,94.46,94.47,94.46,94.48,94.47,94.48,94.48,94.49,94.48,94.49,94.49,94.49,94.49 | +| floor | 81.73,81.74,81.74,81.77,81.78,81.79,81.8,81.8,81.8,81.82,81.82,81.82,81.83,81.85,81.85,81.86,81.85,81.86,81.86,81.87 | +| tree | 74.36,74.37,74.39,74.39,74.41,74.41,74.42,74.42,74.42,74.43,74.44,74.46,74.44,74.46,74.45,74.46,74.45,74.46,74.46,74.46 | +| ceiling | 85.33,85.34,85.36,85.36,85.39,85.41,85.43,85.44,85.45,85.45,85.44,85.46,85.46,85.46,85.46,85.48,85.47,85.49,85.48,85.49 | +| road | 82.23,82.25,82.24,82.28,82.25,82.32,82.3,82.29,82.33,82.33,82.32,82.33,82.35,82.33,82.35,82.33,82.36,82.32,82.34,82.3 | +| bed | 87.96,87.96,87.97,87.98,88.0,87.97,88.04,87.99,87.99,88.03,87.97,88.01,88.0,88.02,88.01,88.03,87.99,88.01,87.99,88.01 | +| windowpane | 60.89,60.9,60.9,60.93,60.92,60.91,60.92,60.92,60.93,60.91,60.94,60.97,60.95,60.98,60.96,60.98,60.95,60.97,60.94,60.96 | +| grass | 67.2,67.22,67.23,67.27,67.27,67.31,67.31,67.34,67.35,67.37,67.36,67.39,67.38,67.39,67.4,67.4,67.42,67.4,67.42,67.39 | +| cabinet | 61.06,61.12,61.2,61.18,61.36,61.31,61.42,61.4,61.47,61.5,61.49,61.55,61.45,61.53,61.47,61.53,61.43,61.51,61.41,61.49 | +| sidewalk | 64.24,64.27,64.23,64.29,64.24,64.3,64.28,64.25,64.27,64.34,64.31,64.32,64.35,64.33,64.35,64.34,64.36,64.34,64.34,64.31 | +| person | 80.02,80.05,80.04,80.05,80.06,80.06,80.08,80.07,80.07,80.08,80.08,80.07,80.06,80.06,80.06,80.06,80.05,80.05,80.04,80.05 | +| earth | 35.92,35.93,35.93,35.96,35.92,36.0,36.0,36.0,36.07,36.01,36.05,36.01,36.14,36.05,36.18,36.05,36.21,36.08,36.26,36.08 | +| door | 46.12,46.12,46.13,46.17,46.2,46.12,46.22,46.2,46.19,46.2,46.25,46.21,46.3,46.31,46.35,46.3,46.36,46.31,46.38,46.31 | +| table | 61.18,61.17,61.24,61.26,61.33,61.33,61.38,61.4,61.43,61.45,61.51,61.53,61.55,61.55,61.59,61.61,61.62,61.64,61.63,61.67 | +| mountain | 56.94,56.96,57.01,57.0,56.98,57.05,57.06,57.09,57.14,57.17,57.24,57.23,57.3,57.26,57.31,57.31,57.33,57.3,57.39,57.3 | +| plant | 49.91,49.85,49.89,49.88,49.9,49.91,49.89,49.93,49.88,49.89,49.88,49.91,49.89,49.91,49.89,49.89,49.88,49.91,49.86,49.93 | +| curtain | 74.5,74.52,74.53,74.58,74.58,74.59,74.62,74.62,74.6,74.66,74.64,74.69,74.71,74.76,74.75,74.78,74.78,74.8,74.79,74.81 | +| chair | 56.63,56.64,56.62,56.63,56.65,56.59,56.63,56.61,56.61,56.59,56.56,56.58,56.58,56.58,56.6,56.59,56.58,56.59,56.59,56.59 | +| car | 82.0,82.01,82.03,82.06,82.06,82.09,82.09,82.09,82.09,82.11,82.1,82.11,82.13,82.16,82.15,82.16,82.16,82.17,82.18,82.19 | +| water | 57.02,57.04,57.06,57.06,57.05,57.11,57.1,57.08,57.09,57.09,57.09,57.07,57.09,57.06,57.07,57.04,57.06,57.05,57.06,57.04 | +| painting | 70.94,70.96,70.97,70.92,70.92,70.89,70.9,70.9,70.85,70.87,70.82,70.86,70.76,70.83,70.75,70.84,70.78,70.81,70.75,70.78 | +| sofa | 65.15,65.2,65.26,65.4,65.41,65.52,65.6,65.58,65.66,65.68,65.71,65.76,65.73,65.81,65.77,65.83,65.74,65.83,65.75,65.85 | +| shelf | 44.66,44.65,44.72,44.78,44.87,44.85,44.98,44.96,45.02,45.07,45.09,45.11,45.15,45.14,45.16,45.24,45.18,45.27,45.21,45.28 | +| house | 41.21,41.35,41.39,41.64,41.71,41.84,41.77,41.94,41.94,41.97,42.07,42.07,42.19,42.11,42.22,42.16,42.24,42.23,42.24,42.28 | +| sea | 60.22,60.24,60.26,60.29,60.31,60.39,60.38,60.4,60.41,60.43,60.43,60.46,60.43,60.45,60.45,60.5,60.5,60.52,60.5,60.53 | +| mirror | 66.34,66.39,66.28,66.26,66.22,66.27,66.25,66.15,66.2,66.16,66.22,66.12,66.2,66.15,66.12,66.11,66.04,66.13,66.03,66.14 | +| rug | 63.54,63.48,63.49,63.66,63.6,63.75,63.69,63.77,63.66,63.76,63.72,63.7,63.84,63.92,63.99,63.98,64.03,63.95,63.99,63.92 | +| field | 31.1,31.12,31.11,31.17,31.18,31.17,31.19,31.2,31.22,31.23,31.23,31.21,31.23,31.25,31.24,31.24,31.24,31.24,31.23,31.23 | +| armchair | 37.84,37.95,37.93,38.0,37.95,38.04,38.08,38.11,38.18,38.18,38.17,38.23,38.23,38.31,38.37,38.38,38.41,38.47,38.58,38.61 | +| seat | 65.86,65.86,65.92,65.87,65.98,65.97,66.0,66.0,66.0,66.02,66.13,66.02,66.15,66.05,66.14,66.05,66.13,66.06,66.14,66.07 | +| fence | 41.07,41.11,41.13,41.09,41.13,41.07,41.08,41.09,40.96,41.08,40.99,41.08,40.98,41.01,41.01,41.1,41.09,41.15,41.07,41.15 | +| desk | 47.02,47.06,47.08,47.06,47.12,47.04,47.15,47.15,47.19,47.23,47.15,47.24,47.16,47.23,47.13,47.23,47.14,47.25,47.13,47.22 | +| rock | 37.28,37.28,37.32,37.29,37.27,37.3,37.29,37.3,37.26,37.26,37.26,37.26,37.25,37.26,37.25,37.28,37.23,37.29,37.26,37.3 | +| wardrobe | 57.91,57.97,58.08,58.06,58.12,58.09,58.12,58.01,58.13,58.05,58.13,58.03,58.15,57.99,58.09,57.99,58.07,57.99,58.11,57.98 | +| lamp | 62.38,62.48,62.48,62.45,62.46,62.5,62.5,62.46,62.47,62.5,62.43,62.5,62.5,62.52,62.47,62.5,62.49,62.45,62.5,62.45 | +| bathtub | 77.73,77.78,77.81,77.96,78.21,78.09,78.18,77.94,78.06,77.98,77.86,77.77,77.8,77.83,77.55,77.5,77.39,77.41,77.35,77.36 | +| railing | 33.88,33.85,33.89,33.91,33.97,33.91,33.85,33.94,33.85,33.9,33.89,33.96,33.89,33.91,33.86,33.91,33.91,33.89,33.88,33.86 | +| cushion | 56.73,56.82,56.94,56.88,56.88,56.84,57.02,56.74,56.99,56.91,56.99,56.83,56.92,56.75,56.96,56.89,56.81,56.91,56.73,56.83 | +| base | 21.94,22.02,22.02,22.03,22.06,22.05,22.1,22.07,22.07,22.04,22.11,22.01,22.04,22.02,22.0,22.03,21.95,21.96,21.85,21.91 | +| box | 22.9,22.99,22.95,23.03,23.1,23.01,23.2,23.04,23.18,23.14,23.17,23.14,23.25,23.15,23.24,23.24,23.17,23.22,23.2,23.24 | +| column | 46.72,46.73,46.78,46.79,46.79,46.81,46.92,46.94,46.87,46.94,46.92,46.94,46.94,46.93,46.91,46.96,46.92,46.87,46.88,46.84 | +| signboard | 37.88,37.97,37.94,37.9,37.88,38.04,37.98,38.04,37.95,37.99,37.99,38.06,37.97,38.1,38.07,38.11,38.07,38.15,38.14,38.19 | +| chest of drawers | 36.57,36.54,36.65,36.66,36.75,36.73,36.78,36.86,36.84,36.97,37.0,36.91,36.96,36.94,36.92,36.95,36.93,36.93,36.96,36.94 | +| counter | 32.74,32.74,32.79,32.7,32.73,32.75,32.73,32.68,32.69,32.65,32.68,32.64,32.66,32.63,32.62,32.56,32.56,32.53,32.55,32.57 | +| sand | 43.48,43.54,43.59,43.71,43.72,43.78,43.83,43.83,43.9,43.87,43.88,43.83,43.89,43.89,43.9,43.85,43.85,43.82,43.82,43.74 | +| sink | 68.09,68.13,68.14,68.1,68.13,68.1,68.13,68.12,68.16,68.2,68.11,68.22,68.18,68.19,68.2,68.17,68.21,68.17,68.2,68.19 | +| skyscraper | 48.77,48.7,48.74,48.73,48.68,48.41,48.57,48.46,48.57,48.45,48.61,48.6,48.66,48.66,48.61,48.7,48.66,48.77,48.65,48.8 | +| fireplace | 76.21,76.19,76.2,76.26,76.21,76.26,76.3,76.32,76.3,76.33,76.44,76.33,76.47,76.44,76.52,76.47,76.49,76.53,76.51,76.51 | +| refrigerator | 75.41,75.59,75.61,75.68,75.76,75.84,75.86,76.03,76.03,76.27,76.1,76.34,76.16,76.39,76.3,76.45,76.32,76.54,76.37,76.51 | +| grandstand | 51.76,51.92,51.92,52.17,52.25,52.29,52.6,52.63,52.81,52.82,52.93,52.92,53.34,53.02,53.48,53.21,53.61,53.24,53.65,53.4 | +| path | 21.28,21.4,21.39,21.41,21.38,21.39,21.37,21.32,21.39,21.36,21.43,21.41,21.44,21.42,21.47,21.42,21.47,21.43,21.48,21.46 | +| stairs | 31.82,31.79,31.79,31.8,31.81,31.81,31.74,31.77,31.79,31.85,31.78,31.81,31.78,31.84,31.75,31.87,31.78,31.92,31.79,31.94 | +| runway | 67.59,67.65,67.62,67.64,67.61,67.71,67.64,67.63,67.59,67.59,67.6,67.59,67.61,67.63,67.61,67.6,67.58,67.57,67.57,67.57 | +| case | 47.79,47.81,47.94,48.13,48.17,48.26,48.26,48.5,48.36,48.51,48.42,48.72,48.51,48.7,48.56,48.71,48.57,48.63,48.53,48.56 | +| pool table | 92.07,92.11,92.1,92.11,92.1,92.19,92.18,92.21,92.24,92.27,92.21,92.32,92.3,92.32,92.33,92.31,92.34,92.34,92.35,92.35 | +| pillow | 61.85,61.83,61.77,61.96,62.02,62.08,62.0,61.88,61.78,62.01,62.06,61.93,61.97,61.88,61.86,61.95,61.76,61.88,61.73,61.75 | +| screen door | 69.28,69.22,69.4,69.52,69.53,69.52,69.4,69.53,69.54,69.52,69.41,69.34,69.48,69.29,69.37,69.3,69.25,69.26,69.2,69.22 | +| stairway | 24.15,24.0,24.2,24.06,24.18,24.16,24.2,24.18,24.2,24.27,24.38,24.37,24.36,24.32,24.33,24.42,24.35,24.37,24.34,24.34 | +| river | 11.86,11.87,11.85,11.86,11.86,11.84,11.85,11.83,11.85,11.81,11.82,11.82,11.81,11.81,11.79,11.81,11.79,11.81,11.78,11.8 | +| bridge | 31.12,31.12,31.3,31.35,31.35,31.43,31.4,31.5,31.55,31.62,31.9,31.72,32.08,31.93,32.33,32.3,32.31,32.39,32.43,32.47 | +| bookcase | 47.73,47.76,47.83,47.84,48.03,47.96,48.03,48.09,48.1,48.17,48.18,48.26,48.27,48.35,48.35,48.42,48.43,48.51,48.42,48.56 | +| blind | 39.53,39.6,39.5,39.54,39.41,39.47,39.42,39.47,39.47,39.33,39.43,39.41,39.46,39.41,39.44,39.47,39.41,39.47,39.43,39.55 | +| coffee table | 53.85,53.84,53.89,54.04,53.94,54.08,53.99,54.15,54.14,54.28,54.22,54.33,54.15,54.3,54.28,54.29,54.26,54.29,54.18,54.22 | +| toilet | 83.92,83.9,83.92,83.9,83.87,83.8,83.83,83.81,83.91,83.84,83.87,83.93,83.93,83.96,83.93,83.93,83.97,83.94,83.99,83.94 | +| flower | 39.32,39.45,39.32,39.26,39.39,39.37,39.33,39.34,39.39,39.33,39.32,39.3,39.3,39.34,39.27,39.2,39.29,39.14,39.3,39.11 | +| book | 45.13,45.07,45.17,45.14,45.15,45.16,45.17,45.19,45.09,45.22,45.15,45.2,45.13,45.2,45.09,45.09,45.15,45.08,45.07,45.07 | +| hill | 15.87,15.84,15.82,15.92,15.91,15.87,15.91,15.87,15.92,16.03,15.95,15.93,16.01,16.05,16.05,16.11,16.09,16.17,16.16,16.23 | +| bench | 43.87,43.87,43.76,43.91,43.72,43.81,43.67,43.71,43.74,43.65,43.64,43.59,43.53,43.53,43.49,43.46,43.42,43.32,43.35,43.22 | +| countertop | 56.52,56.58,56.68,56.7,56.62,56.61,56.77,56.61,56.84,56.8,56.87,56.87,56.95,56.95,57.02,57.12,57.02,57.1,57.04,57.1 | +| stove | 72.49,72.4,72.39,72.4,72.37,72.4,72.42,72.53,72.5,72.42,72.55,72.57,72.56,72.58,72.67,72.66,72.66,72.72,72.69,72.77 | +| palm | 48.34,48.37,48.4,48.4,48.42,48.44,48.48,48.42,48.44,48.44,48.52,48.42,48.48,48.44,48.47,48.36,48.5,48.39,48.48,48.4 | +| kitchen island | 44.38,44.41,44.3,44.21,44.22,44.21,44.12,43.98,44.13,43.93,43.92,43.95,43.78,43.94,43.75,43.98,43.7,43.96,43.64,43.89 | +| computer | 60.53,60.61,60.58,60.62,60.58,60.57,60.59,60.57,60.64,60.56,60.58,60.6,60.58,60.59,60.55,60.62,60.55,60.64,60.49,60.66 | +| swivel chair | 43.87,43.87,43.69,43.69,43.77,43.79,43.83,43.65,43.71,43.75,43.74,43.77,43.7,43.73,43.65,43.65,43.63,43.57,43.53,43.65 | +| boat | 72.13,72.12,72.2,72.1,72.19,72.23,72.32,72.21,72.39,72.34,72.47,72.58,72.54,72.66,72.72,72.74,72.82,72.87,72.93,72.91 | +| bar | 24.0,24.0,24.03,24.02,24.0,24.05,24.03,24.06,24.04,24.06,24.04,24.07,24.06,24.03,24.07,24.07,24.04,24.06,24.05,24.04 | +| arcade machine | 68.82,69.46,69.25,69.96,70.08,70.25,70.54,70.91,71.0,70.92,71.09,71.14,71.82,71.36,71.7,71.61,71.8,72.24,71.62,72.49 | +| hovel | 32.03,31.91,31.94,32.01,31.76,31.77,31.68,31.54,31.51,31.43,31.41,31.36,31.16,31.06,30.93,30.76,30.96,30.63,30.93,30.42 | +| bus | 80.34,80.21,80.4,80.26,80.29,80.23,80.35,80.3,80.28,80.17,80.25,80.25,80.24,80.26,80.27,80.25,80.27,80.25,80.22,80.26 | +| towel | 63.21,63.23,63.25,63.16,63.21,63.18,63.22,63.14,63.17,63.29,63.28,63.32,63.37,63.26,63.21,63.32,63.23,63.28,63.2,63.22 | +| light | 56.49,56.55,56.6,56.59,56.64,56.65,56.79,56.79,56.76,56.82,56.8,56.86,56.9,56.89,56.95,56.97,56.94,56.97,56.98,56.98 | +| truck | 18.6,18.58,18.61,18.57,18.56,18.57,18.59,18.56,18.45,18.46,18.56,18.25,18.36,18.48,18.36,18.23,18.3,18.11,18.23,18.08 | +| tower | 7.92,8.01,8.02,8.08,8.11,8.1,8.05,8.06,8.15,8.14,8.09,8.2,8.11,8.26,8.15,8.24,8.18,8.25,8.21,8.25 | +| chandelier | 64.72,64.73,64.79,64.78,64.74,64.74,64.7,64.65,64.71,64.64,64.63,64.58,64.62,64.63,64.59,64.63,64.56,64.57,64.55,64.53 | +| awning | 24.44,24.51,24.59,24.55,24.65,24.48,24.76,24.63,24.81,24.73,24.89,24.74,24.77,24.77,24.79,24.86,24.76,24.87,24.71,24.81 | +| streetlight | 27.64,27.69,27.64,27.67,27.68,27.61,27.68,27.7,27.64,27.67,27.67,27.64,27.67,27.75,27.7,27.7,27.67,27.67,27.69,27.72 | +| booth | 45.87,46.17,45.93,46.11,46.32,46.85,46.61,46.96,47.2,47.26,47.39,47.36,46.93,47.31,47.23,47.18,47.08,46.95,47.0,46.96 | +| television receiver | 65.43,65.31,65.36,65.31,65.35,65.42,65.21,65.21,65.23,65.25,65.29,65.15,65.15,65.28,65.24,65.25,65.26,65.32,65.3,65.34 | +| airplane | 58.2,58.28,58.26,58.18,58.14,58.05,58.01,57.97,57.93,57.93,57.87,57.83,57.92,57.82,57.76,57.77,57.77,57.76,57.78,57.73 | +| dirt track | 22.0,22.29,22.38,22.58,22.48,22.84,22.87,23.18,23.19,23.53,23.48,23.65,23.73,23.9,23.87,24.14,24.15,24.53,24.44,24.59 | +| apparel | 35.3,35.2,35.52,35.56,35.69,35.62,35.79,35.7,35.95,36.09,36.41,36.08,36.4,36.12,36.5,36.12,36.33,36.26,36.46,36.37 | +| pole | 19.59,19.5,19.57,19.51,19.41,19.42,19.49,19.35,19.47,19.42,19.34,19.24,19.2,19.14,19.16,18.95,19.03,18.87,18.9,18.75 | +| land | 3.67,3.69,3.7,3.67,3.65,3.69,3.67,3.64,3.7,3.63,3.66,3.65,3.67,3.64,3.69,3.62,3.68,3.61,3.69,3.58 | +| bannister | 12.72,12.81,12.95,12.98,13.06,13.08,13.07,13.09,13.16,13.2,13.1,13.31,13.17,13.34,13.25,13.39,13.29,13.44,13.32,13.42 | +| escalator | 24.37,24.39,24.33,24.52,24.5,24.54,24.59,24.56,24.54,24.51,24.51,24.55,24.62,24.57,24.73,24.62,24.74,24.55,24.83,24.59 | +| ottoman | 43.03,42.86,43.07,42.84,42.8,42.95,42.89,42.86,42.54,42.77,42.38,42.71,42.36,42.74,42.28,42.75,42.27,42.73,42.31,42.82 | +| bottle | 35.14,35.18,35.18,35.22,35.07,35.06,35.27,35.06,35.12,34.97,35.17,35.01,35.35,34.89,35.11,34.84,35.12,34.94,35.09,34.84 | +| buffet | 42.61,42.94,43.64,43.98,44.19,44.23,44.66,44.68,45.06,45.05,45.54,45.6,45.62,45.69,45.76,45.83,45.84,45.99,45.94,46.11 | +| poster | 22.5,22.42,22.57,22.45,22.36,22.32,22.46,22.3,22.29,22.39,22.24,22.43,22.24,22.34,22.17,22.36,22.23,22.46,22.23,22.46 | +| stage | 14.96,14.86,14.99,14.67,14.88,14.84,14.6,14.72,14.64,14.57,14.58,14.57,14.55,14.53,14.48,14.44,14.43,14.43,14.42,14.45 | +| van | 37.58,37.74,37.72,37.58,37.67,37.68,37.69,37.64,37.74,37.7,37.64,37.72,37.75,37.75,37.85,37.65,37.68,37.67,37.72,37.69 | +| ship | 81.02,81.28,81.38,81.29,81.58,81.38,81.42,81.57,81.65,81.66,81.72,81.68,81.71,81.78,81.72,81.87,81.78,81.94,81.81,81.93 | +| fountain | 18.34,18.36,18.7,18.52,18.45,18.57,18.78,18.43,18.58,18.55,18.57,18.48,18.43,18.35,18.35,18.2,18.29,18.12,18.27,18.14 | +| conveyer belt | 84.95,85.07,85.09,85.13,85.1,84.94,85.04,84.95,85.14,84.9,85.11,85.02,85.08,84.85,85.03,84.82,84.99,84.86,85.0,84.71 | +| canopy | 23.46,23.6,23.63,23.83,23.98,24.21,24.21,24.44,24.44,24.71,24.72,24.79,24.93,24.95,24.99,25.09,25.11,25.17,25.25,25.29 | +| washer | 76.62,76.77,76.84,77.13,77.22,77.22,77.5,77.46,77.49,77.74,77.89,77.94,78.31,78.34,78.51,78.65,78.66,79.05,78.84,79.24 | +| plaything | 21.11,21.08,21.22,21.15,21.17,21.2,21.17,21.26,21.19,21.26,21.17,21.18,21.22,21.25,21.25,21.26,21.25,21.29,21.28,21.33 | +| swimming pool | 72.97,73.0,73.34,73.5,73.63,73.35,73.28,73.63,73.54,73.85,73.65,73.94,73.94,73.94,74.11,74.25,74.26,74.68,74.36,74.84 | +| stool | 43.95,43.89,43.82,43.96,43.87,43.9,43.72,43.77,43.66,43.65,43.66,43.64,43.48,43.42,43.57,43.38,43.41,43.22,43.24,43.16 | +| barrel | 39.5,39.36,38.62,38.65,38.75,38.67,38.49,38.23,38.35,38.06,38.1,37.83,37.42,37.57,37.69,37.49,37.48,37.26,37.35,37.19 | +| basket | 24.52,24.55,24.54,24.54,24.65,24.56,24.63,24.6,24.64,24.54,24.75,24.72,24.81,24.81,24.88,24.78,24.88,24.8,24.89,24.8 | +| waterfall | 49.57,49.57,49.56,49.6,49.49,49.57,49.61,49.55,49.68,49.59,49.65,49.56,49.65,49.57,49.54,49.65,49.58,49.62,49.64,49.67 | +| tent | 94.8,94.8,94.79,94.82,94.78,94.84,94.81,94.95,94.95,94.91,94.93,94.99,95.01,95.06,94.99,95.1,95.05,95.19,95.11,95.25 | +| bag | 16.16,16.36,16.24,16.18,16.24,16.27,16.41,16.18,16.37,16.29,16.33,16.36,16.4,16.56,16.52,16.54,16.51,16.61,16.59,16.7 | +| minibike | 62.7,62.68,62.69,62.87,62.92,62.92,63.08,63.06,63.09,63.16,63.17,63.23,63.36,63.44,63.4,63.47,63.45,63.53,63.59,63.55 | +| cradle | 83.8,83.84,83.83,83.95,83.91,84.11,84.07,84.16,84.27,84.3,84.37,84.48,84.62,84.72,84.7,84.88,84.85,85.03,84.89,85.06 | +| oven | 45.88,46.08,46.02,45.88,46.02,46.14,46.08,46.36,46.3,46.28,46.52,46.5,46.56,46.57,46.56,46.61,46.72,46.82,46.89,46.94 | +| ball | 43.65,43.83,43.93,43.75,44.03,43.97,43.98,43.93,44.22,44.1,44.23,44.05,44.28,44.14,44.23,44.14,44.13,44.15,44.08,44.22 | +| food | 57.25,57.21,57.34,57.6,57.46,57.69,57.65,57.78,57.84,57.86,57.91,58.0,58.03,58.04,58.05,58.05,58.13,57.94,58.0,57.96 | +| step | 5.1,4.95,4.89,4.95,4.83,4.84,4.67,4.81,4.63,4.75,4.65,4.65,4.52,4.6,4.48,4.51,4.38,4.42,4.28,4.3 | +| tank | 49.02,49.05,49.13,49.13,49.0,49.01,49.05,49.05,48.98,48.93,48.93,48.83,48.87,48.83,48.85,48.76,48.75,48.7,48.71,48.69 | +| trade name | 28.7,28.74,28.63,28.91,28.83,28.81,28.88,28.74,28.61,28.51,28.54,28.45,28.57,28.52,28.37,28.35,28.38,28.29,28.44,28.3 | +| microwave | 72.32,72.56,72.63,72.66,72.89,73.03,72.97,73.2,73.08,73.18,73.43,73.42,73.45,73.52,73.57,73.57,73.72,73.67,73.85,73.74 | +| pot | 29.91,29.95,29.93,29.9,30.03,30.0,30.1,30.13,30.18,30.17,30.2,30.28,30.4,30.44,30.51,30.61,30.64,30.69,30.69,30.77 | +| animal | 55.08,55.07,55.15,55.17,55.22,55.18,55.23,55.23,55.23,55.27,55.27,55.28,55.29,55.29,55.32,55.27,55.29,55.27,55.3,55.27 | +| bicycle | 54.38,54.69,54.85,54.79,54.91,54.9,55.04,55.03,55.23,55.26,55.31,55.33,55.35,55.46,55.48,55.49,55.43,55.47,55.64,55.56 | +| lake | 57.59,57.63,57.64,57.73,57.7,57.72,57.72,57.75,57.75,57.78,57.73,57.84,57.77,57.85,57.75,57.83,57.83,57.8,57.8,57.77 | +| dishwasher | 67.3,67.15,67.0,67.02,67.0,66.46,66.47,66.33,66.27,66.01,65.98,65.57,65.66,65.24,65.61,65.31,65.43,65.1,65.47,65.06 | +| screen | 64.28,63.92,63.99,64.02,64.06,63.91,63.88,63.71,63.81,63.68,63.78,63.67,63.78,63.55,63.71,63.56,63.76,63.58,63.69,63.57 | +| blanket | 17.77,17.73,17.68,17.74,17.68,17.75,17.68,17.66,17.69,17.7,17.71,17.75,17.88,17.82,17.82,17.84,17.73,17.81,17.7,17.75 | +| sculpture | 56.47,56.13,56.25,56.11,55.96,56.01,55.96,56.15,55.98,55.89,55.68,55.64,55.53,55.59,55.41,55.39,55.39,55.44,55.39,55.43 | +| hood | 58.81,58.97,59.0,59.11,58.9,59.13,59.1,58.91,58.78,58.8,58.55,58.67,58.7,58.58,58.62,58.59,58.71,58.63,58.7,58.69 | +| sconce | 41.87,42.16,42.3,42.39,42.56,42.52,42.7,42.74,42.82,42.8,42.91,42.92,43.01,42.99,43.19,42.96,43.2,42.96,43.3,43.12 | +| vase | 37.67,37.81,37.82,37.73,37.5,37.8,37.71,37.77,37.67,37.76,37.62,37.7,37.66,37.63,37.61,37.66,37.48,37.65,37.55,37.58 | +| traffic light | 33.76,33.82,33.89,33.82,33.95,34.07,34.09,34.04,34.19,34.39,34.37,34.31,34.39,34.49,34.53,34.62,34.58,34.66,34.72,34.78 | +| tray | 8.13,8.26,8.27,8.4,8.33,8.28,8.51,8.33,8.4,8.34,8.46,8.32,8.45,8.52,8.51,8.63,8.61,8.68,8.62,8.71 | +| ashcan | 41.44,41.41,41.46,41.43,41.37,41.37,41.42,41.39,41.67,41.57,41.58,41.49,41.65,41.63,41.73,41.67,41.78,41.81,41.92,41.89 | +| fan | 58.04,58.09,57.97,57.92,57.97,57.96,57.92,57.86,57.98,58.13,57.88,57.9,57.97,58.02,57.91,57.88,57.96,57.84,57.92,57.9 | +| pier | 40.55,40.23,40.47,40.21,40.38,40.21,40.51,39.99,40.21,40.54,40.56,40.59,40.76,41.01,40.92,41.02,41.11,41.27,41.41,41.6 | +| crt screen | 10.42,10.51,10.53,10.54,10.5,10.52,10.64,10.56,10.55,10.61,10.65,10.64,10.64,10.57,10.63,10.53,10.62,10.51,10.6,10.51 | +| plate | 53.06,52.98,53.13,53.1,53.19,53.21,53.36,53.4,53.41,53.48,53.59,53.62,53.59,53.76,53.67,53.8,53.79,53.81,53.82,53.91 | +| monitor | 17.5,17.49,17.55,17.55,17.4,17.37,17.41,17.19,17.36,17.23,17.28,17.16,17.14,17.07,16.99,17.02,16.92,16.87,16.82,16.82 | +| bulletin board | 36.63,36.7,36.77,37.02,37.1,37.22,37.71,37.66,37.72,38.17,37.92,38.05,38.16,37.94,38.23,38.17,38.25,38.17,38.29,38.23 | +| shower | 1.88,1.85,1.83,1.86,1.83,1.83,1.82,1.79,1.85,1.79,1.8,1.79,1.76,1.79,1.75,1.78,1.75,1.76,1.69,1.78 | +| radiator | 59.79,60.15,60.28,61.17,60.6,61.53,61.41,61.51,61.79,61.88,62.09,62.11,62.35,62.5,62.72,62.51,62.73,62.76,62.86,62.87 | +| glass | 13.77,13.91,13.96,13.87,13.9,13.95,13.9,14.07,13.97,13.89,13.93,13.88,13.99,13.97,13.92,13.97,13.89,13.83,13.85,13.77 | +| clock | 34.71,35.01,34.61,34.56,34.78,34.74,34.6,34.6,34.57,34.52,34.68,34.53,34.24,34.51,34.26,34.39,34.24,34.17,34.25,34.17 | +| flag | 34.59,34.49,34.5,34.49,34.4,34.51,34.51,34.39,34.43,34.38,34.45,34.42,34.55,34.46,34.46,34.39,34.5,34.48,34.54,34.52 | ++---------------------+-------------------------------------------------------------------------------------------------------------------------+ +2023-03-04 06:52:33,421 - mmseg - INFO - Summary: +2023-03-04 06:52:33,422 - mmseg - INFO - ++----------------------------------------------------------------------------------------------------------------------+ +| mIoU 0,1,2,3,4,5,6,7,8,9,10,11,12,13,14,15,16,17,18,19 | ++----------------------------------------------------------------------------------------------------------------------+ +| 48.67,48.7,48.73,48.76,48.78,48.8,48.82,48.82,48.85,48.86,48.88,48.88,48.9,48.91,48.92,48.92,48.92,48.93,48.93,48.95 | ++----------------------------------------------------------------------------------------------------------------------+ +2023-03-04 06:52:33,422 - mmseg - INFO - Exp name: ablation_segformer_mit_b2_segformer_head_unet_fc_small_multi_step_ade_pretrained_freeze_embed_160k_ade20k151_finetune_ema_t20.py +2023-03-04 06:52:33,422 - mmseg - INFO - Iter(val) [250] mIoU: [0.4867, 0.487, 0.4873, 0.4876, 0.4878, 0.488, 0.4882, 0.4882, 0.4885, 0.4886, 0.4888, 0.4888, 0.489, 0.4891, 0.4892, 0.4892, 0.4892, 0.4893, 0.4893, 0.4895], copy_paste: 48.67,48.7,48.73,48.76,48.78,48.8,48.82,48.82,48.85,48.86,48.88,48.88,48.9,48.91,48.92,48.92,48.92,48.93,48.93,48.95 +2023-03-04 06:52:33,432 - mmseg - INFO - Swap parameters (before train) before iter [96001] +2023-03-04 06:52:43,641 - mmseg - INFO - Iter [96050/160000] lr: 7.500e-05, eta: 3:47:16, time: 4.377, data_time: 4.180, memory: 59439, decode.loss_ce: 0.1854, decode.acc_seg: 92.2808, loss: 0.1854 +2023-03-04 06:52:53,502 - mmseg - INFO - Iter [96100/160000] lr: 7.500e-05, eta: 3:47:05, time: 0.197, data_time: 0.008, memory: 59439, decode.loss_ce: 0.1876, decode.acc_seg: 92.1632, loss: 0.1876 +2023-03-04 06:53:03,697 - mmseg - INFO - Iter [96150/160000] lr: 7.500e-05, eta: 3:46:54, time: 0.204, data_time: 0.007, memory: 59439, decode.loss_ce: 0.1996, decode.acc_seg: 91.9430, loss: 0.1996 +2023-03-04 06:53:13,453 - mmseg - INFO - Iter [96200/160000] lr: 7.500e-05, eta: 3:46:42, time: 0.195, data_time: 0.007, memory: 59439, decode.loss_ce: 0.1979, decode.acc_seg: 91.9224, loss: 0.1979 +2023-03-04 06:53:23,098 - mmseg - INFO - Iter [96250/160000] lr: 7.500e-05, eta: 3:46:31, time: 0.193, data_time: 0.007, memory: 59439, decode.loss_ce: 0.1970, decode.acc_seg: 91.8446, loss: 0.1970 +2023-03-04 06:53:32,914 - mmseg - INFO - Iter [96300/160000] lr: 7.500e-05, eta: 3:46:20, time: 0.196, data_time: 0.008, memory: 59439, decode.loss_ce: 0.1881, decode.acc_seg: 92.2551, loss: 0.1881 +2023-03-04 06:53:42,691 - mmseg - INFO - Iter [96350/160000] lr: 7.500e-05, eta: 3:46:09, time: 0.196, data_time: 0.008, memory: 59439, decode.loss_ce: 0.1975, decode.acc_seg: 91.9778, loss: 0.1975 +2023-03-04 06:53:52,442 - mmseg - INFO - Iter [96400/160000] lr: 7.500e-05, eta: 3:45:57, time: 0.195, data_time: 0.007, memory: 59439, decode.loss_ce: 0.1933, decode.acc_seg: 91.9888, loss: 0.1933 +2023-03-04 06:54:02,213 - mmseg - INFO - Iter [96450/160000] lr: 7.500e-05, eta: 3:45:46, time: 0.196, data_time: 0.008, memory: 59439, decode.loss_ce: 0.1936, decode.acc_seg: 92.0002, loss: 0.1936 +2023-03-04 06:54:11,777 - mmseg - INFO - Iter [96500/160000] lr: 7.500e-05, eta: 3:45:35, time: 0.191, data_time: 0.008, memory: 59439, decode.loss_ce: 0.2058, decode.acc_seg: 91.7926, loss: 0.2058 +2023-03-04 06:54:23,913 - mmseg - INFO - Iter [96550/160000] lr: 7.500e-05, eta: 3:45:25, time: 0.243, data_time: 0.058, memory: 59439, decode.loss_ce: 0.1845, decode.acc_seg: 92.3326, loss: 0.1845 +2023-03-04 06:54:33,485 - mmseg - INFO - Iter [96600/160000] lr: 7.500e-05, eta: 3:45:14, time: 0.191, data_time: 0.008, memory: 59439, decode.loss_ce: 0.1845, decode.acc_seg: 92.3811, loss: 0.1845 +2023-03-04 06:54:43,213 - mmseg - INFO - Iter [96650/160000] lr: 7.500e-05, eta: 3:45:02, time: 0.195, data_time: 0.008, memory: 59439, decode.loss_ce: 0.1897, decode.acc_seg: 92.1880, loss: 0.1897 +2023-03-04 06:54:52,808 - mmseg - INFO - Iter [96700/160000] lr: 7.500e-05, eta: 3:44:51, time: 0.192, data_time: 0.008, memory: 59439, decode.loss_ce: 0.1985, decode.acc_seg: 91.9349, loss: 0.1985 +2023-03-04 06:55:02,475 - mmseg - INFO - Iter [96750/160000] lr: 7.500e-05, eta: 3:44:40, time: 0.193, data_time: 0.008, memory: 59439, decode.loss_ce: 0.1903, decode.acc_seg: 92.2025, loss: 0.1903 +2023-03-04 06:55:12,025 - mmseg - INFO - Iter [96800/160000] lr: 7.500e-05, eta: 3:44:28, time: 0.191, data_time: 0.008, memory: 59439, decode.loss_ce: 0.1904, decode.acc_seg: 91.9881, loss: 0.1904 +2023-03-04 06:55:21,627 - mmseg - INFO - Iter [96850/160000] lr: 7.500e-05, eta: 3:44:17, time: 0.192, data_time: 0.008, memory: 59439, decode.loss_ce: 0.1941, decode.acc_seg: 92.1068, loss: 0.1941 +2023-03-04 06:55:31,228 - mmseg - INFO - Iter [96900/160000] lr: 7.500e-05, eta: 3:44:06, time: 0.192, data_time: 0.008, memory: 59439, decode.loss_ce: 0.1892, decode.acc_seg: 92.1222, loss: 0.1892 +2023-03-04 06:55:40,761 - mmseg - INFO - Iter [96950/160000] lr: 7.500e-05, eta: 3:43:54, time: 0.191, data_time: 0.008, memory: 59439, decode.loss_ce: 0.1925, decode.acc_seg: 92.1766, loss: 0.1925 +2023-03-04 06:55:50,302 - mmseg - INFO - Exp name: ablation_segformer_mit_b2_segformer_head_unet_fc_small_multi_step_ade_pretrained_freeze_embed_160k_ade20k151_finetune_ema_t20.py +2023-03-04 06:55:50,303 - mmseg - INFO - Iter [97000/160000] lr: 7.500e-05, eta: 3:43:43, time: 0.191, data_time: 0.008, memory: 59439, decode.loss_ce: 0.1939, decode.acc_seg: 92.1019, loss: 0.1939 +2023-03-04 06:56:00,109 - mmseg - INFO - Iter [97050/160000] lr: 7.500e-05, eta: 3:43:32, time: 0.196, data_time: 0.008, memory: 59439, decode.loss_ce: 0.1902, decode.acc_seg: 92.2773, loss: 0.1902 +2023-03-04 06:56:09,763 - mmseg - INFO - Iter [97100/160000] lr: 7.500e-05, eta: 3:43:20, time: 0.193, data_time: 0.008, memory: 59439, decode.loss_ce: 0.1864, decode.acc_seg: 92.2741, loss: 0.1864 +2023-03-04 06:56:19,379 - mmseg - INFO - Iter [97150/160000] lr: 7.500e-05, eta: 3:43:09, time: 0.192, data_time: 0.008, memory: 59439, decode.loss_ce: 0.1976, decode.acc_seg: 91.9399, loss: 0.1976 +2023-03-04 06:56:31,563 - mmseg - INFO - Iter [97200/160000] lr: 7.500e-05, eta: 3:42:59, time: 0.244, data_time: 0.057, memory: 59439, decode.loss_ce: 0.1979, decode.acc_seg: 91.8013, loss: 0.1979 +2023-03-04 06:56:41,260 - mmseg - INFO - Iter [97250/160000] lr: 7.500e-05, eta: 3:42:48, time: 0.194, data_time: 0.008, memory: 59439, decode.loss_ce: 0.1915, decode.acc_seg: 92.0381, loss: 0.1915 +2023-03-04 06:56:50,943 - mmseg - INFO - Iter [97300/160000] lr: 7.500e-05, eta: 3:42:37, time: 0.194, data_time: 0.008, memory: 59439, decode.loss_ce: 0.1949, decode.acc_seg: 91.9823, loss: 0.1949 +2023-03-04 06:57:01,061 - mmseg - INFO - Iter [97350/160000] lr: 7.500e-05, eta: 3:42:26, time: 0.202, data_time: 0.007, memory: 59439, decode.loss_ce: 0.1884, decode.acc_seg: 92.3116, loss: 0.1884 +2023-03-04 06:57:10,676 - mmseg - INFO - Iter [97400/160000] lr: 7.500e-05, eta: 3:42:15, time: 0.192, data_time: 0.008, memory: 59439, decode.loss_ce: 0.1905, decode.acc_seg: 92.2205, loss: 0.1905 +2023-03-04 06:57:20,173 - mmseg - INFO - Iter [97450/160000] lr: 7.500e-05, eta: 3:42:03, time: 0.190, data_time: 0.008, memory: 59439, decode.loss_ce: 0.1910, decode.acc_seg: 92.2814, loss: 0.1910 +2023-03-04 06:57:29,793 - mmseg - INFO - Iter [97500/160000] lr: 7.500e-05, eta: 3:41:52, time: 0.192, data_time: 0.008, memory: 59439, decode.loss_ce: 0.1976, decode.acc_seg: 92.0754, loss: 0.1976 +2023-03-04 06:57:39,442 - mmseg - INFO - Iter [97550/160000] lr: 7.500e-05, eta: 3:41:41, time: 0.193, data_time: 0.007, memory: 59439, decode.loss_ce: 0.1977, decode.acc_seg: 91.9049, loss: 0.1977 +2023-03-04 06:57:49,435 - mmseg - INFO - Iter [97600/160000] lr: 7.500e-05, eta: 3:41:29, time: 0.200, data_time: 0.008, memory: 59439, decode.loss_ce: 0.1948, decode.acc_seg: 92.1324, loss: 0.1948 +2023-03-04 06:57:58,961 - mmseg - INFO - Iter [97650/160000] lr: 7.500e-05, eta: 3:41:18, time: 0.191, data_time: 0.008, memory: 59439, decode.loss_ce: 0.1936, decode.acc_seg: 91.9582, loss: 0.1936 +2023-03-04 06:58:08,606 - mmseg - INFO - Iter [97700/160000] lr: 7.500e-05, eta: 3:41:07, time: 0.193, data_time: 0.008, memory: 59439, decode.loss_ce: 0.1956, decode.acc_seg: 91.9806, loss: 0.1956 +2023-03-04 06:58:18,264 - mmseg - INFO - Iter [97750/160000] lr: 7.500e-05, eta: 3:40:56, time: 0.193, data_time: 0.008, memory: 59439, decode.loss_ce: 0.1969, decode.acc_seg: 91.9373, loss: 0.1969 +2023-03-04 06:58:27,793 - mmseg - INFO - Iter [97800/160000] lr: 7.500e-05, eta: 3:40:44, time: 0.191, data_time: 0.008, memory: 59439, decode.loss_ce: 0.1930, decode.acc_seg: 92.1547, loss: 0.1930 +2023-03-04 06:58:39,928 - mmseg - INFO - Iter [97850/160000] lr: 7.500e-05, eta: 3:40:34, time: 0.243, data_time: 0.055, memory: 59439, decode.loss_ce: 0.1977, decode.acc_seg: 91.9994, loss: 0.1977 +2023-03-04 06:58:49,618 - mmseg - INFO - Iter [97900/160000] lr: 7.500e-05, eta: 3:40:23, time: 0.194, data_time: 0.008, memory: 59439, decode.loss_ce: 0.1992, decode.acc_seg: 91.7690, loss: 0.1992 +2023-03-04 06:58:59,320 - mmseg - INFO - Iter [97950/160000] lr: 7.500e-05, eta: 3:40:12, time: 0.194, data_time: 0.008, memory: 59439, decode.loss_ce: 0.1906, decode.acc_seg: 92.1275, loss: 0.1906 +2023-03-04 06:59:09,153 - mmseg - INFO - Exp name: ablation_segformer_mit_b2_segformer_head_unet_fc_small_multi_step_ade_pretrained_freeze_embed_160k_ade20k151_finetune_ema_t20.py +2023-03-04 06:59:09,153 - mmseg - INFO - Iter [98000/160000] lr: 7.500e-05, eta: 3:40:01, time: 0.197, data_time: 0.008, memory: 59439, decode.loss_ce: 0.1901, decode.acc_seg: 92.3042, loss: 0.1901 +2023-03-04 06:59:18,867 - mmseg - INFO - Iter [98050/160000] lr: 7.500e-05, eta: 3:39:50, time: 0.194, data_time: 0.007, memory: 59439, decode.loss_ce: 0.1869, decode.acc_seg: 92.2610, loss: 0.1869 +2023-03-04 06:59:28,454 - mmseg - INFO - Iter [98100/160000] lr: 7.500e-05, eta: 3:39:38, time: 0.192, data_time: 0.008, memory: 59439, decode.loss_ce: 0.1953, decode.acc_seg: 91.9113, loss: 0.1953 +2023-03-04 06:59:38,024 - mmseg - INFO - Iter [98150/160000] lr: 7.500e-05, eta: 3:39:27, time: 0.191, data_time: 0.008, memory: 59439, decode.loss_ce: 0.1969, decode.acc_seg: 91.9940, loss: 0.1969 +2023-03-04 06:59:47,662 - mmseg - INFO - Iter [98200/160000] lr: 7.500e-05, eta: 3:39:16, time: 0.193, data_time: 0.008, memory: 59439, decode.loss_ce: 0.1890, decode.acc_seg: 92.1873, loss: 0.1890 +2023-03-04 06:59:57,268 - mmseg - INFO - Iter [98250/160000] lr: 7.500e-05, eta: 3:39:04, time: 0.192, data_time: 0.008, memory: 59439, decode.loss_ce: 0.1859, decode.acc_seg: 92.4371, loss: 0.1859 +2023-03-04 07:00:06,756 - mmseg - INFO - Iter [98300/160000] lr: 7.500e-05, eta: 3:38:53, time: 0.190, data_time: 0.008, memory: 59439, decode.loss_ce: 0.1978, decode.acc_seg: 91.8024, loss: 0.1978 +2023-03-04 07:00:16,361 - mmseg - INFO - Iter [98350/160000] lr: 7.500e-05, eta: 3:38:42, time: 0.192, data_time: 0.008, memory: 59439, decode.loss_ce: 0.1937, decode.acc_seg: 91.9459, loss: 0.1937 +2023-03-04 07:00:25,945 - mmseg - INFO - Iter [98400/160000] lr: 7.500e-05, eta: 3:38:30, time: 0.192, data_time: 0.008, memory: 59439, decode.loss_ce: 0.1990, decode.acc_seg: 91.9913, loss: 0.1990 +2023-03-04 07:00:38,194 - mmseg - INFO - Iter [98450/160000] lr: 7.500e-05, eta: 3:38:21, time: 0.245, data_time: 0.053, memory: 59439, decode.loss_ce: 0.1966, decode.acc_seg: 91.9383, loss: 0.1966 +2023-03-04 07:00:47,820 - mmseg - INFO - Iter [98500/160000] lr: 7.500e-05, eta: 3:38:09, time: 0.193, data_time: 0.008, memory: 59439, decode.loss_ce: 0.1941, decode.acc_seg: 92.0481, loss: 0.1941 +2023-03-04 07:00:57,627 - mmseg - INFO - Iter [98550/160000] lr: 7.500e-05, eta: 3:37:58, time: 0.196, data_time: 0.008, memory: 59439, decode.loss_ce: 0.1874, decode.acc_seg: 92.2113, loss: 0.1874 +2023-03-04 07:01:07,339 - mmseg - INFO - Iter [98600/160000] lr: 7.500e-05, eta: 3:37:47, time: 0.194, data_time: 0.008, memory: 59439, decode.loss_ce: 0.1989, decode.acc_seg: 92.0562, loss: 0.1989 +2023-03-04 07:01:17,302 - mmseg - INFO - Iter [98650/160000] lr: 7.500e-05, eta: 3:37:36, time: 0.199, data_time: 0.007, memory: 59439, decode.loss_ce: 0.1981, decode.acc_seg: 91.7522, loss: 0.1981 +2023-03-04 07:01:26,820 - mmseg - INFO - Iter [98700/160000] lr: 7.500e-05, eta: 3:37:25, time: 0.190, data_time: 0.008, memory: 59439, decode.loss_ce: 0.2003, decode.acc_seg: 91.9103, loss: 0.2003 +2023-03-04 07:01:36,498 - mmseg - INFO - Iter [98750/160000] lr: 7.500e-05, eta: 3:37:13, time: 0.194, data_time: 0.007, memory: 59439, decode.loss_ce: 0.1927, decode.acc_seg: 92.1190, loss: 0.1927 +2023-03-04 07:01:46,608 - mmseg - INFO - Iter [98800/160000] lr: 7.500e-05, eta: 3:37:02, time: 0.202, data_time: 0.008, memory: 59439, decode.loss_ce: 0.1996, decode.acc_seg: 91.5765, loss: 0.1996 +2023-03-04 07:01:56,278 - mmseg - INFO - Iter [98850/160000] lr: 7.500e-05, eta: 3:36:51, time: 0.194, data_time: 0.008, memory: 59439, decode.loss_ce: 0.1924, decode.acc_seg: 92.1386, loss: 0.1924 +2023-03-04 07:02:06,164 - mmseg - INFO - Iter [98900/160000] lr: 7.500e-05, eta: 3:36:40, time: 0.198, data_time: 0.007, memory: 59439, decode.loss_ce: 0.1907, decode.acc_seg: 92.3162, loss: 0.1907 +2023-03-04 07:02:15,726 - mmseg - INFO - Iter [98950/160000] lr: 7.500e-05, eta: 3:36:29, time: 0.191, data_time: 0.008, memory: 59439, decode.loss_ce: 0.1887, decode.acc_seg: 92.1959, loss: 0.1887 +2023-03-04 07:02:25,296 - mmseg - INFO - Exp name: ablation_segformer_mit_b2_segformer_head_unet_fc_small_multi_step_ade_pretrained_freeze_embed_160k_ade20k151_finetune_ema_t20.py +2023-03-04 07:02:25,296 - mmseg - INFO - Iter [99000/160000] lr: 7.500e-05, eta: 3:36:18, time: 0.191, data_time: 0.008, memory: 59439, decode.loss_ce: 0.2032, decode.acc_seg: 91.7053, loss: 0.2032 +2023-03-04 07:02:35,239 - mmseg - INFO - Iter [99050/160000] lr: 7.500e-05, eta: 3:36:06, time: 0.199, data_time: 0.008, memory: 59439, decode.loss_ce: 0.1837, decode.acc_seg: 92.4598, loss: 0.1837 +2023-03-04 07:02:47,588 - mmseg - INFO - Iter [99100/160000] lr: 7.500e-05, eta: 3:35:57, time: 0.247, data_time: 0.056, memory: 59439, decode.loss_ce: 0.1951, decode.acc_seg: 91.9216, loss: 0.1951 +2023-03-04 07:02:57,294 - mmseg - INFO - Iter [99150/160000] lr: 7.500e-05, eta: 3:35:46, time: 0.194, data_time: 0.008, memory: 59439, decode.loss_ce: 0.1968, decode.acc_seg: 91.9941, loss: 0.1968 +2023-03-04 07:03:06,947 - mmseg - INFO - Iter [99200/160000] lr: 7.500e-05, eta: 3:35:34, time: 0.193, data_time: 0.008, memory: 59439, decode.loss_ce: 0.1957, decode.acc_seg: 92.0058, loss: 0.1957 +2023-03-04 07:03:16,698 - mmseg - INFO - Iter [99250/160000] lr: 7.500e-05, eta: 3:35:23, time: 0.195, data_time: 0.007, memory: 59439, decode.loss_ce: 0.1921, decode.acc_seg: 92.1417, loss: 0.1921 +2023-03-04 07:03:26,231 - mmseg - INFO - Iter [99300/160000] lr: 7.500e-05, eta: 3:35:12, time: 0.191, data_time: 0.008, memory: 59439, decode.loss_ce: 0.1933, decode.acc_seg: 91.9528, loss: 0.1933 +2023-03-04 07:03:35,883 - mmseg - INFO - Iter [99350/160000] lr: 7.500e-05, eta: 3:35:01, time: 0.193, data_time: 0.008, memory: 59439, decode.loss_ce: 0.1925, decode.acc_seg: 92.1738, loss: 0.1925 +2023-03-04 07:03:45,420 - mmseg - INFO - Iter [99400/160000] lr: 7.500e-05, eta: 3:34:49, time: 0.191, data_time: 0.008, memory: 59439, decode.loss_ce: 0.2023, decode.acc_seg: 91.8219, loss: 0.2023 +2023-03-04 07:03:55,141 - mmseg - INFO - Iter [99450/160000] lr: 7.500e-05, eta: 3:34:38, time: 0.194, data_time: 0.008, memory: 59439, decode.loss_ce: 0.1912, decode.acc_seg: 92.2898, loss: 0.1912 +2023-03-04 07:04:05,525 - mmseg - INFO - Iter [99500/160000] lr: 7.500e-05, eta: 3:34:27, time: 0.208, data_time: 0.007, memory: 59439, decode.loss_ce: 0.1878, decode.acc_seg: 92.0700, loss: 0.1878 +2023-03-04 07:04:15,157 - mmseg - INFO - Iter [99550/160000] lr: 7.500e-05, eta: 3:34:16, time: 0.193, data_time: 0.008, memory: 59439, decode.loss_ce: 0.1935, decode.acc_seg: 92.1975, loss: 0.1935 +2023-03-04 07:04:24,834 - mmseg - INFO - Iter [99600/160000] lr: 7.500e-05, eta: 3:34:05, time: 0.194, data_time: 0.008, memory: 59439, decode.loss_ce: 0.2045, decode.acc_seg: 91.6735, loss: 0.2045 +2023-03-04 07:04:34,461 - mmseg - INFO - Iter [99650/160000] lr: 7.500e-05, eta: 3:33:54, time: 0.193, data_time: 0.007, memory: 59439, decode.loss_ce: 0.1876, decode.acc_seg: 92.3070, loss: 0.1876 +2023-03-04 07:04:46,470 - mmseg - INFO - Iter [99700/160000] lr: 7.500e-05, eta: 3:33:44, time: 0.240, data_time: 0.054, memory: 59439, decode.loss_ce: 0.2056, decode.acc_seg: 91.5572, loss: 0.2056 +2023-03-04 07:04:56,261 - mmseg - INFO - Iter [99750/160000] lr: 7.500e-05, eta: 3:33:33, time: 0.196, data_time: 0.007, memory: 59439, decode.loss_ce: 0.1830, decode.acc_seg: 92.2663, loss: 0.1830 +2023-03-04 07:05:06,185 - mmseg - INFO - Iter [99800/160000] lr: 7.500e-05, eta: 3:33:22, time: 0.199, data_time: 0.008, memory: 59439, decode.loss_ce: 0.1947, decode.acc_seg: 91.8763, loss: 0.1947 +2023-03-04 07:05:16,014 - mmseg - INFO - Iter [99850/160000] lr: 7.500e-05, eta: 3:33:11, time: 0.197, data_time: 0.008, memory: 59439, decode.loss_ce: 0.1920, decode.acc_seg: 92.0500, loss: 0.1920 +2023-03-04 07:05:25,557 - mmseg - INFO - Iter [99900/160000] lr: 7.500e-05, eta: 3:32:59, time: 0.191, data_time: 0.008, memory: 59439, decode.loss_ce: 0.1930, decode.acc_seg: 92.1093, loss: 0.1930 +2023-03-04 07:05:35,275 - mmseg - INFO - Iter [99950/160000] lr: 7.500e-05, eta: 3:32:48, time: 0.194, data_time: 0.008, memory: 59439, decode.loss_ce: 0.1984, decode.acc_seg: 91.7642, loss: 0.1984 +2023-03-04 07:05:45,214 - mmseg - INFO - Exp name: ablation_segformer_mit_b2_segformer_head_unet_fc_small_multi_step_ade_pretrained_freeze_embed_160k_ade20k151_finetune_ema_t20.py +2023-03-04 07:05:45,214 - mmseg - INFO - Iter [100000/160000] lr: 7.500e-05, eta: 3:32:37, time: 0.199, data_time: 0.008, memory: 59439, decode.loss_ce: 0.1948, decode.acc_seg: 92.1045, loss: 0.1948 +2023-03-04 07:05:55,138 - mmseg - INFO - Iter [100050/160000] lr: 3.750e-05, eta: 3:32:26, time: 0.198, data_time: 0.008, memory: 59439, decode.loss_ce: 0.1910, decode.acc_seg: 92.0768, loss: 0.1910 +2023-03-04 07:06:04,803 - mmseg - INFO - Iter [100100/160000] lr: 3.750e-05, eta: 3:32:15, time: 0.193, data_time: 0.008, memory: 59439, decode.loss_ce: 0.1906, decode.acc_seg: 92.1383, loss: 0.1906 +2023-03-04 07:06:14,594 - mmseg - INFO - Iter [100150/160000] lr: 3.750e-05, eta: 3:32:04, time: 0.196, data_time: 0.008, memory: 59439, decode.loss_ce: 0.1822, decode.acc_seg: 92.3569, loss: 0.1822 +2023-03-04 07:06:24,181 - mmseg - INFO - Iter [100200/160000] lr: 3.750e-05, eta: 3:31:52, time: 0.192, data_time: 0.008, memory: 59439, decode.loss_ce: 0.1949, decode.acc_seg: 92.0268, loss: 0.1949 +2023-03-04 07:06:33,845 - mmseg - INFO - Iter [100250/160000] lr: 3.750e-05, eta: 3:31:41, time: 0.193, data_time: 0.008, memory: 59439, decode.loss_ce: 0.1850, decode.acc_seg: 92.2336, loss: 0.1850 +2023-03-04 07:06:43,381 - mmseg - INFO - Iter [100300/160000] lr: 3.750e-05, eta: 3:31:30, time: 0.191, data_time: 0.008, memory: 59439, decode.loss_ce: 0.1966, decode.acc_seg: 92.0750, loss: 0.1966 +2023-03-04 07:06:55,436 - mmseg - INFO - Iter [100350/160000] lr: 3.750e-05, eta: 3:31:20, time: 0.241, data_time: 0.055, memory: 59439, decode.loss_ce: 0.1918, decode.acc_seg: 92.1880, loss: 0.1918 +2023-03-04 07:07:05,088 - mmseg - INFO - Iter [100400/160000] lr: 3.750e-05, eta: 3:31:09, time: 0.193, data_time: 0.008, memory: 59439, decode.loss_ce: 0.1945, decode.acc_seg: 92.0231, loss: 0.1945 +2023-03-04 07:07:14,755 - mmseg - INFO - Iter [100450/160000] lr: 3.750e-05, eta: 3:30:58, time: 0.193, data_time: 0.008, memory: 59439, decode.loss_ce: 0.1800, decode.acc_seg: 92.6050, loss: 0.1800 +2023-03-04 07:07:24,664 - mmseg - INFO - Iter [100500/160000] lr: 3.750e-05, eta: 3:30:47, time: 0.198, data_time: 0.008, memory: 59439, decode.loss_ce: 0.1967, decode.acc_seg: 91.8258, loss: 0.1967 +2023-03-04 07:07:34,202 - mmseg - INFO - Iter [100550/160000] lr: 3.750e-05, eta: 3:30:35, time: 0.191, data_time: 0.008, memory: 59439, decode.loss_ce: 0.1814, decode.acc_seg: 92.4393, loss: 0.1814 +2023-03-04 07:07:43,874 - mmseg - INFO - Iter [100600/160000] lr: 3.750e-05, eta: 3:30:24, time: 0.193, data_time: 0.008, memory: 59439, decode.loss_ce: 0.1869, decode.acc_seg: 92.2558, loss: 0.1869 +2023-03-04 07:07:53,380 - mmseg - INFO - Iter [100650/160000] lr: 3.750e-05, eta: 3:30:13, time: 0.190, data_time: 0.008, memory: 59439, decode.loss_ce: 0.1830, decode.acc_seg: 92.4591, loss: 0.1830 +2023-03-04 07:08:02,923 - mmseg - INFO - Iter [100700/160000] lr: 3.750e-05, eta: 3:30:02, time: 0.191, data_time: 0.008, memory: 59439, decode.loss_ce: 0.1866, decode.acc_seg: 92.2761, loss: 0.1866 +2023-03-04 07:08:12,516 - mmseg - INFO - Iter [100750/160000] lr: 3.750e-05, eta: 3:29:50, time: 0.192, data_time: 0.008, memory: 59439, decode.loss_ce: 0.1872, decode.acc_seg: 92.4457, loss: 0.1872 +2023-03-04 07:08:22,053 - mmseg - INFO - Iter [100800/160000] lr: 3.750e-05, eta: 3:29:39, time: 0.191, data_time: 0.008, memory: 59439, decode.loss_ce: 0.1863, decode.acc_seg: 92.2404, loss: 0.1863 +2023-03-04 07:08:31,549 - mmseg - INFO - Iter [100850/160000] lr: 3.750e-05, eta: 3:29:28, time: 0.190, data_time: 0.008, memory: 59439, decode.loss_ce: 0.1901, decode.acc_seg: 92.1904, loss: 0.1901 +2023-03-04 07:08:41,355 - mmseg - INFO - Iter [100900/160000] lr: 3.750e-05, eta: 3:29:17, time: 0.196, data_time: 0.007, memory: 59439, decode.loss_ce: 0.1941, decode.acc_seg: 92.0776, loss: 0.1941 +2023-03-04 07:08:50,861 - mmseg - INFO - Iter [100950/160000] lr: 3.750e-05, eta: 3:29:05, time: 0.190, data_time: 0.008, memory: 59439, decode.loss_ce: 0.1933, decode.acc_seg: 91.9368, loss: 0.1933 +2023-03-04 07:09:02,964 - mmseg - INFO - Exp name: ablation_segformer_mit_b2_segformer_head_unet_fc_small_multi_step_ade_pretrained_freeze_embed_160k_ade20k151_finetune_ema_t20.py +2023-03-04 07:09:02,964 - mmseg - INFO - Iter [101000/160000] lr: 3.750e-05, eta: 3:28:56, time: 0.242, data_time: 0.054, memory: 59439, decode.loss_ce: 0.1829, decode.acc_seg: 92.5017, loss: 0.1829 +2023-03-04 07:09:12,648 - mmseg - INFO - Iter [101050/160000] lr: 3.750e-05, eta: 3:28:45, time: 0.194, data_time: 0.007, memory: 59439, decode.loss_ce: 0.1875, decode.acc_seg: 92.3147, loss: 0.1875 +2023-03-04 07:09:22,308 - mmseg - INFO - Iter [101100/160000] lr: 3.750e-05, eta: 3:28:33, time: 0.193, data_time: 0.008, memory: 59439, decode.loss_ce: 0.1864, decode.acc_seg: 92.4338, loss: 0.1864 +2023-03-04 07:09:32,031 - mmseg - INFO - Iter [101150/160000] lr: 3.750e-05, eta: 3:28:22, time: 0.194, data_time: 0.007, memory: 59439, decode.loss_ce: 0.1843, decode.acc_seg: 92.4583, loss: 0.1843 +2023-03-04 07:09:41,714 - mmseg - INFO - Iter [101200/160000] lr: 3.750e-05, eta: 3:28:11, time: 0.194, data_time: 0.008, memory: 59439, decode.loss_ce: 0.1885, decode.acc_seg: 92.2741, loss: 0.1885 +2023-03-04 07:09:51,304 - mmseg - INFO - Iter [101250/160000] lr: 3.750e-05, eta: 3:28:00, time: 0.192, data_time: 0.008, memory: 59439, decode.loss_ce: 0.1865, decode.acc_seg: 92.4650, loss: 0.1865 +2023-03-04 07:10:01,277 - mmseg - INFO - Iter [101300/160000] lr: 3.750e-05, eta: 3:27:49, time: 0.199, data_time: 0.007, memory: 59439, decode.loss_ce: 0.1846, decode.acc_seg: 92.3381, loss: 0.1846 +2023-03-04 07:10:10,835 - mmseg - INFO - Iter [101350/160000] lr: 3.750e-05, eta: 3:27:38, time: 0.191, data_time: 0.008, memory: 59439, decode.loss_ce: 0.1884, decode.acc_seg: 92.2083, loss: 0.1884 +2023-03-04 07:10:20,645 - mmseg - INFO - Iter [101400/160000] lr: 3.750e-05, eta: 3:27:27, time: 0.196, data_time: 0.008, memory: 59439, decode.loss_ce: 0.1889, decode.acc_seg: 92.2276, loss: 0.1889 +2023-03-04 07:10:30,133 - mmseg - INFO - Iter [101450/160000] lr: 3.750e-05, eta: 3:27:15, time: 0.190, data_time: 0.008, memory: 59439, decode.loss_ce: 0.1854, decode.acc_seg: 92.4069, loss: 0.1854 +2023-03-04 07:10:39,832 - mmseg - INFO - Iter [101500/160000] lr: 3.750e-05, eta: 3:27:04, time: 0.194, data_time: 0.007, memory: 59439, decode.loss_ce: 0.1957, decode.acc_seg: 92.1371, loss: 0.1957 +2023-03-04 07:10:49,694 - mmseg - INFO - Iter [101550/160000] lr: 3.750e-05, eta: 3:26:53, time: 0.197, data_time: 0.008, memory: 59439, decode.loss_ce: 0.1982, decode.acc_seg: 91.8706, loss: 0.1982 +2023-03-04 07:11:01,855 - mmseg - INFO - Iter [101600/160000] lr: 3.750e-05, eta: 3:26:43, time: 0.243, data_time: 0.055, memory: 59439, decode.loss_ce: 0.1899, decode.acc_seg: 92.2368, loss: 0.1899 +2023-03-04 07:11:11,640 - mmseg - INFO - Iter [101650/160000] lr: 3.750e-05, eta: 3:26:32, time: 0.195, data_time: 0.007, memory: 59439, decode.loss_ce: 0.1971, decode.acc_seg: 91.8314, loss: 0.1971 +2023-03-04 07:11:21,419 - mmseg - INFO - Iter [101700/160000] lr: 3.750e-05, eta: 3:26:21, time: 0.196, data_time: 0.007, memory: 59439, decode.loss_ce: 0.1963, decode.acc_seg: 92.0445, loss: 0.1963 +2023-03-04 07:11:31,378 - mmseg - INFO - Iter [101750/160000] lr: 3.750e-05, eta: 3:26:10, time: 0.199, data_time: 0.008, memory: 59439, decode.loss_ce: 0.1786, decode.acc_seg: 92.6344, loss: 0.1786 +2023-03-04 07:11:40,917 - mmseg - INFO - Iter [101800/160000] lr: 3.750e-05, eta: 3:25:59, time: 0.191, data_time: 0.008, memory: 59439, decode.loss_ce: 0.1785, decode.acc_seg: 92.6142, loss: 0.1785 +2023-03-04 07:11:50,637 - mmseg - INFO - Iter [101850/160000] lr: 3.750e-05, eta: 3:25:48, time: 0.194, data_time: 0.007, memory: 59439, decode.loss_ce: 0.1945, decode.acc_seg: 92.0517, loss: 0.1945 +2023-03-04 07:12:00,424 - mmseg - INFO - Iter [101900/160000] lr: 3.750e-05, eta: 3:25:37, time: 0.196, data_time: 0.008, memory: 59439, decode.loss_ce: 0.1887, decode.acc_seg: 92.2541, loss: 0.1887 +2023-03-04 07:12:10,243 - mmseg - INFO - Iter [101950/160000] lr: 3.750e-05, eta: 3:25:26, time: 0.196, data_time: 0.008, memory: 59439, decode.loss_ce: 0.1968, decode.acc_seg: 92.0235, loss: 0.1968 +2023-03-04 07:12:19,891 - mmseg - INFO - Exp name: ablation_segformer_mit_b2_segformer_head_unet_fc_small_multi_step_ade_pretrained_freeze_embed_160k_ade20k151_finetune_ema_t20.py +2023-03-04 07:12:19,892 - mmseg - INFO - Iter [102000/160000] lr: 3.750e-05, eta: 3:25:14, time: 0.193, data_time: 0.008, memory: 59439, decode.loss_ce: 0.1869, decode.acc_seg: 92.2297, loss: 0.1869 +2023-03-04 07:12:29,822 - mmseg - INFO - Iter [102050/160000] lr: 3.750e-05, eta: 3:25:03, time: 0.199, data_time: 0.008, memory: 59439, decode.loss_ce: 0.1866, decode.acc_seg: 92.2931, loss: 0.1866 +2023-03-04 07:12:39,599 - mmseg - INFO - Iter [102100/160000] lr: 3.750e-05, eta: 3:24:52, time: 0.196, data_time: 0.008, memory: 59439, decode.loss_ce: 0.1867, decode.acc_seg: 92.3223, loss: 0.1867 +2023-03-04 07:12:49,486 - mmseg - INFO - Iter [102150/160000] lr: 3.750e-05, eta: 3:24:41, time: 0.198, data_time: 0.008, memory: 59439, decode.loss_ce: 0.2002, decode.acc_seg: 91.8924, loss: 0.2002 +2023-03-04 07:12:59,406 - mmseg - INFO - Iter [102200/160000] lr: 3.750e-05, eta: 3:24:30, time: 0.198, data_time: 0.007, memory: 59439, decode.loss_ce: 0.1874, decode.acc_seg: 92.3550, loss: 0.1874 +2023-03-04 07:13:12,049 - mmseg - INFO - Iter [102250/160000] lr: 3.750e-05, eta: 3:24:21, time: 0.253, data_time: 0.057, memory: 59439, decode.loss_ce: 0.1774, decode.acc_seg: 92.5796, loss: 0.1774 +2023-03-04 07:13:21,591 - mmseg - INFO - Iter [102300/160000] lr: 3.750e-05, eta: 3:24:10, time: 0.191, data_time: 0.008, memory: 59439, decode.loss_ce: 0.1909, decode.acc_seg: 92.1502, loss: 0.1909 +2023-03-04 07:13:31,244 - mmseg - INFO - Iter [102350/160000] lr: 3.750e-05, eta: 3:23:58, time: 0.193, data_time: 0.008, memory: 59439, decode.loss_ce: 0.1946, decode.acc_seg: 92.1519, loss: 0.1946 +2023-03-04 07:13:41,081 - mmseg - INFO - Iter [102400/160000] lr: 3.750e-05, eta: 3:23:47, time: 0.197, data_time: 0.008, memory: 59439, decode.loss_ce: 0.1889, decode.acc_seg: 92.3244, loss: 0.1889 +2023-03-04 07:13:50,604 - mmseg - INFO - Iter [102450/160000] lr: 3.750e-05, eta: 3:23:36, time: 0.190, data_time: 0.008, memory: 59439, decode.loss_ce: 0.1879, decode.acc_seg: 92.3131, loss: 0.1879 +2023-03-04 07:14:00,231 - mmseg - INFO - Iter [102500/160000] lr: 3.750e-05, eta: 3:23:25, time: 0.193, data_time: 0.008, memory: 59439, decode.loss_ce: 0.1863, decode.acc_seg: 92.3703, loss: 0.1863 +2023-03-04 07:14:09,835 - mmseg - INFO - Iter [102550/160000] lr: 3.750e-05, eta: 3:23:14, time: 0.192, data_time: 0.008, memory: 59439, decode.loss_ce: 0.1875, decode.acc_seg: 92.3405, loss: 0.1875 +2023-03-04 07:14:19,460 - mmseg - INFO - Iter [102600/160000] lr: 3.750e-05, eta: 3:23:03, time: 0.192, data_time: 0.008, memory: 59439, decode.loss_ce: 0.1989, decode.acc_seg: 91.9316, loss: 0.1989 +2023-03-04 07:14:29,226 - mmseg - INFO - Iter [102650/160000] lr: 3.750e-05, eta: 3:22:52, time: 0.195, data_time: 0.008, memory: 59439, decode.loss_ce: 0.1948, decode.acc_seg: 92.0862, loss: 0.1948 +2023-03-04 07:14:39,397 - mmseg - INFO - Iter [102700/160000] lr: 3.750e-05, eta: 3:22:41, time: 0.203, data_time: 0.008, memory: 59439, decode.loss_ce: 0.1845, decode.acc_seg: 92.5227, loss: 0.1845 +2023-03-04 07:14:49,071 - mmseg - INFO - Iter [102750/160000] lr: 3.750e-05, eta: 3:22:30, time: 0.193, data_time: 0.008, memory: 59439, decode.loss_ce: 0.1898, decode.acc_seg: 92.2320, loss: 0.1898 +2023-03-04 07:14:58,842 - mmseg - INFO - Iter [102800/160000] lr: 3.750e-05, eta: 3:22:18, time: 0.195, data_time: 0.008, memory: 59439, decode.loss_ce: 0.1872, decode.acc_seg: 92.2921, loss: 0.1872 +2023-03-04 07:15:08,440 - mmseg - INFO - Iter [102850/160000] lr: 3.750e-05, eta: 3:22:07, time: 0.192, data_time: 0.008, memory: 59439, decode.loss_ce: 0.1910, decode.acc_seg: 92.2087, loss: 0.1910 +2023-03-04 07:15:20,783 - mmseg - INFO - Iter [102900/160000] lr: 3.750e-05, eta: 3:21:58, time: 0.247, data_time: 0.059, memory: 59439, decode.loss_ce: 0.1850, decode.acc_seg: 92.4369, loss: 0.1850 +2023-03-04 07:15:30,375 - mmseg - INFO - Iter [102950/160000] lr: 3.750e-05, eta: 3:21:46, time: 0.192, data_time: 0.008, memory: 59439, decode.loss_ce: 0.1912, decode.acc_seg: 92.1835, loss: 0.1912 +2023-03-04 07:15:39,968 - mmseg - INFO - Exp name: ablation_segformer_mit_b2_segformer_head_unet_fc_small_multi_step_ade_pretrained_freeze_embed_160k_ade20k151_finetune_ema_t20.py +2023-03-04 07:15:39,969 - mmseg - INFO - Iter [103000/160000] lr: 3.750e-05, eta: 3:21:35, time: 0.192, data_time: 0.008, memory: 59439, decode.loss_ce: 0.1922, decode.acc_seg: 92.1443, loss: 0.1922 +2023-03-04 07:15:49,655 - mmseg - INFO - Iter [103050/160000] lr: 3.750e-05, eta: 3:21:24, time: 0.194, data_time: 0.007, memory: 59439, decode.loss_ce: 0.1879, decode.acc_seg: 92.2920, loss: 0.1879 +2023-03-04 07:15:59,293 - mmseg - INFO - Iter [103100/160000] lr: 3.750e-05, eta: 3:21:13, time: 0.193, data_time: 0.008, memory: 59439, decode.loss_ce: 0.1833, decode.acc_seg: 92.5335, loss: 0.1833 +2023-03-04 07:16:08,874 - mmseg - INFO - Iter [103150/160000] lr: 3.750e-05, eta: 3:21:02, time: 0.192, data_time: 0.008, memory: 59439, decode.loss_ce: 0.1896, decode.acc_seg: 92.3544, loss: 0.1896 +2023-03-04 07:16:18,662 - mmseg - INFO - Iter [103200/160000] lr: 3.750e-05, eta: 3:20:51, time: 0.196, data_time: 0.007, memory: 59439, decode.loss_ce: 0.1872, decode.acc_seg: 92.2667, loss: 0.1872 +2023-03-04 07:16:28,559 - mmseg - INFO - Iter [103250/160000] lr: 3.750e-05, eta: 3:20:40, time: 0.198, data_time: 0.008, memory: 59439, decode.loss_ce: 0.1879, decode.acc_seg: 92.3208, loss: 0.1879 +2023-03-04 07:16:38,258 - mmseg - INFO - Iter [103300/160000] lr: 3.750e-05, eta: 3:20:29, time: 0.194, data_time: 0.007, memory: 59439, decode.loss_ce: 0.1875, decode.acc_seg: 92.3852, loss: 0.1875 +2023-03-04 07:16:47,929 - mmseg - INFO - Iter [103350/160000] lr: 3.750e-05, eta: 3:20:18, time: 0.193, data_time: 0.008, memory: 59439, decode.loss_ce: 0.1890, decode.acc_seg: 92.2464, loss: 0.1890 +2023-03-04 07:16:57,487 - mmseg - INFO - Iter [103400/160000] lr: 3.750e-05, eta: 3:20:06, time: 0.191, data_time: 0.008, memory: 59439, decode.loss_ce: 0.1851, decode.acc_seg: 92.2390, loss: 0.1851 +2023-03-04 07:17:07,097 - mmseg - INFO - Iter [103450/160000] lr: 3.750e-05, eta: 3:19:55, time: 0.192, data_time: 0.008, memory: 59439, decode.loss_ce: 0.1877, decode.acc_seg: 92.3140, loss: 0.1877 +2023-03-04 07:17:19,175 - mmseg - INFO - Iter [103500/160000] lr: 3.750e-05, eta: 3:19:45, time: 0.242, data_time: 0.057, memory: 59439, decode.loss_ce: 0.1845, decode.acc_seg: 92.3831, loss: 0.1845 +2023-03-04 07:17:28,953 - mmseg - INFO - Iter [103550/160000] lr: 3.750e-05, eta: 3:19:34, time: 0.196, data_time: 0.008, memory: 59439, decode.loss_ce: 0.1893, decode.acc_seg: 92.2410, loss: 0.1893 +2023-03-04 07:17:38,865 - mmseg - INFO - Iter [103600/160000] lr: 3.750e-05, eta: 3:19:23, time: 0.198, data_time: 0.008, memory: 59439, decode.loss_ce: 0.1810, decode.acc_seg: 92.3870, loss: 0.1810 +2023-03-04 07:17:48,568 - mmseg - INFO - Iter [103650/160000] lr: 3.750e-05, eta: 3:19:12, time: 0.194, data_time: 0.008, memory: 59439, decode.loss_ce: 0.1876, decode.acc_seg: 92.2257, loss: 0.1876 +2023-03-04 07:17:58,077 - mmseg - INFO - Iter [103700/160000] lr: 3.750e-05, eta: 3:19:01, time: 0.190, data_time: 0.008, memory: 59439, decode.loss_ce: 0.1827, decode.acc_seg: 92.5563, loss: 0.1827 +2023-03-04 07:18:07,744 - mmseg - INFO - Iter [103750/160000] lr: 3.750e-05, eta: 3:18:50, time: 0.193, data_time: 0.008, memory: 59439, decode.loss_ce: 0.1866, decode.acc_seg: 92.5083, loss: 0.1866 +2023-03-04 07:18:17,373 - mmseg - INFO - Iter [103800/160000] lr: 3.750e-05, eta: 3:18:39, time: 0.193, data_time: 0.008, memory: 59439, decode.loss_ce: 0.1909, decode.acc_seg: 92.2888, loss: 0.1909 +2023-03-04 07:18:27,284 - mmseg - INFO - Iter [103850/160000] lr: 3.750e-05, eta: 3:18:28, time: 0.198, data_time: 0.007, memory: 59439, decode.loss_ce: 0.1855, decode.acc_seg: 92.3242, loss: 0.1855 +2023-03-04 07:18:36,881 - mmseg - INFO - Iter [103900/160000] lr: 3.750e-05, eta: 3:18:17, time: 0.192, data_time: 0.008, memory: 59439, decode.loss_ce: 0.1874, decode.acc_seg: 92.4086, loss: 0.1874 +2023-03-04 07:18:46,486 - mmseg - INFO - Iter [103950/160000] lr: 3.750e-05, eta: 3:18:06, time: 0.192, data_time: 0.007, memory: 59439, decode.loss_ce: 0.1956, decode.acc_seg: 91.9097, loss: 0.1956 +2023-03-04 07:18:56,175 - mmseg - INFO - Exp name: ablation_segformer_mit_b2_segformer_head_unet_fc_small_multi_step_ade_pretrained_freeze_embed_160k_ade20k151_finetune_ema_t20.py +2023-03-04 07:18:56,175 - mmseg - INFO - Iter [104000/160000] lr: 3.750e-05, eta: 3:17:54, time: 0.194, data_time: 0.007, memory: 59439, decode.loss_ce: 0.1821, decode.acc_seg: 92.3656, loss: 0.1821 +2023-03-04 07:19:05,886 - mmseg - INFO - Iter [104050/160000] lr: 3.750e-05, eta: 3:17:43, time: 0.194, data_time: 0.007, memory: 59439, decode.loss_ce: 0.1905, decode.acc_seg: 92.2112, loss: 0.1905 +2023-03-04 07:19:15,832 - mmseg - INFO - Iter [104100/160000] lr: 3.750e-05, eta: 3:17:32, time: 0.199, data_time: 0.008, memory: 59439, decode.loss_ce: 0.1864, decode.acc_seg: 92.3612, loss: 0.1864 +2023-03-04 07:19:28,272 - mmseg - INFO - Iter [104150/160000] lr: 3.750e-05, eta: 3:17:23, time: 0.249, data_time: 0.055, memory: 59439, decode.loss_ce: 0.1794, decode.acc_seg: 92.6132, loss: 0.1794 +2023-03-04 07:19:38,182 - mmseg - INFO - Iter [104200/160000] lr: 3.750e-05, eta: 3:17:12, time: 0.198, data_time: 0.007, memory: 59439, decode.loss_ce: 0.1917, decode.acc_seg: 92.1899, loss: 0.1917 +2023-03-04 07:19:47,943 - mmseg - INFO - Iter [104250/160000] lr: 3.750e-05, eta: 3:17:01, time: 0.195, data_time: 0.007, memory: 59439, decode.loss_ce: 0.1829, decode.acc_seg: 92.4452, loss: 0.1829 +2023-03-04 07:19:57,513 - mmseg - INFO - Iter [104300/160000] lr: 3.750e-05, eta: 3:16:50, time: 0.191, data_time: 0.008, memory: 59439, decode.loss_ce: 0.1883, decode.acc_seg: 92.2635, loss: 0.1883 +2023-03-04 07:20:07,139 - mmseg - INFO - Iter [104350/160000] lr: 3.750e-05, eta: 3:16:39, time: 0.193, data_time: 0.008, memory: 59439, decode.loss_ce: 0.1849, decode.acc_seg: 92.3303, loss: 0.1849 +2023-03-04 07:20:16,692 - mmseg - INFO - Iter [104400/160000] lr: 3.750e-05, eta: 3:16:27, time: 0.191, data_time: 0.008, memory: 59439, decode.loss_ce: 0.1862, decode.acc_seg: 92.3813, loss: 0.1862 +2023-03-04 07:20:26,354 - mmseg - INFO - Iter [104450/160000] lr: 3.750e-05, eta: 3:16:16, time: 0.193, data_time: 0.007, memory: 59439, decode.loss_ce: 0.1860, decode.acc_seg: 92.3510, loss: 0.1860 +2023-03-04 07:20:35,879 - mmseg - INFO - Iter [104500/160000] lr: 3.750e-05, eta: 3:16:05, time: 0.190, data_time: 0.008, memory: 59439, decode.loss_ce: 0.1897, decode.acc_seg: 92.2145, loss: 0.1897 +2023-03-04 07:20:46,307 - mmseg - INFO - Iter [104550/160000] lr: 3.750e-05, eta: 3:15:54, time: 0.209, data_time: 0.008, memory: 59439, decode.loss_ce: 0.1961, decode.acc_seg: 91.9204, loss: 0.1961 +2023-03-04 07:20:55,808 - mmseg - INFO - Iter [104600/160000] lr: 3.750e-05, eta: 3:15:43, time: 0.190, data_time: 0.008, memory: 59439, decode.loss_ce: 0.1935, decode.acc_seg: 92.1032, loss: 0.1935 +2023-03-04 07:21:05,473 - mmseg - INFO - Iter [104650/160000] lr: 3.750e-05, eta: 3:15:32, time: 0.193, data_time: 0.008, memory: 59439, decode.loss_ce: 0.1857, decode.acc_seg: 92.3088, loss: 0.1857 +2023-03-04 07:21:14,978 - mmseg - INFO - Iter [104700/160000] lr: 3.750e-05, eta: 3:15:21, time: 0.190, data_time: 0.008, memory: 59439, decode.loss_ce: 0.1948, decode.acc_seg: 92.1545, loss: 0.1948 +2023-03-04 07:21:27,628 - mmseg - INFO - Iter [104750/160000] lr: 3.750e-05, eta: 3:15:11, time: 0.253, data_time: 0.056, memory: 59439, decode.loss_ce: 0.1996, decode.acc_seg: 91.8705, loss: 0.1996 +2023-03-04 07:21:37,306 - mmseg - INFO - Iter [104800/160000] lr: 3.750e-05, eta: 3:15:00, time: 0.194, data_time: 0.008, memory: 59439, decode.loss_ce: 0.1894, decode.acc_seg: 92.1951, loss: 0.1894 +2023-03-04 07:21:46,970 - mmseg - INFO - Iter [104850/160000] lr: 3.750e-05, eta: 3:14:49, time: 0.193, data_time: 0.008, memory: 59439, decode.loss_ce: 0.1903, decode.acc_seg: 92.3520, loss: 0.1903 +2023-03-04 07:21:57,030 - mmseg - INFO - Iter [104900/160000] lr: 3.750e-05, eta: 3:14:38, time: 0.201, data_time: 0.008, memory: 59439, decode.loss_ce: 0.1914, decode.acc_seg: 92.2765, loss: 0.1914 +2023-03-04 07:22:06,644 - mmseg - INFO - Iter [104950/160000] lr: 3.750e-05, eta: 3:14:27, time: 0.192, data_time: 0.008, memory: 59439, decode.loss_ce: 0.1876, decode.acc_seg: 92.2756, loss: 0.1876 +2023-03-04 07:22:16,142 - mmseg - INFO - Exp name: ablation_segformer_mit_b2_segformer_head_unet_fc_small_multi_step_ade_pretrained_freeze_embed_160k_ade20k151_finetune_ema_t20.py +2023-03-04 07:22:16,142 - mmseg - INFO - Iter [105000/160000] lr: 3.750e-05, eta: 3:14:16, time: 0.190, data_time: 0.008, memory: 59439, decode.loss_ce: 0.1851, decode.acc_seg: 92.3473, loss: 0.1851 +2023-03-04 07:22:25,667 - mmseg - INFO - Iter [105050/160000] lr: 3.750e-05, eta: 3:14:05, time: 0.190, data_time: 0.008, memory: 59439, decode.loss_ce: 0.1916, decode.acc_seg: 92.2364, loss: 0.1916 +2023-03-04 07:22:35,522 - mmseg - INFO - Iter [105100/160000] lr: 3.750e-05, eta: 3:13:54, time: 0.197, data_time: 0.007, memory: 59439, decode.loss_ce: 0.1811, decode.acc_seg: 92.4106, loss: 0.1811 +2023-03-04 07:22:45,177 - mmseg - INFO - Iter [105150/160000] lr: 3.750e-05, eta: 3:13:43, time: 0.193, data_time: 0.008, memory: 59439, decode.loss_ce: 0.1870, decode.acc_seg: 92.2469, loss: 0.1870 +2023-03-04 07:22:54,731 - mmseg - INFO - Iter [105200/160000] lr: 3.750e-05, eta: 3:13:32, time: 0.191, data_time: 0.008, memory: 59439, decode.loss_ce: 0.1837, decode.acc_seg: 92.4382, loss: 0.1837 +2023-03-04 07:23:04,491 - mmseg - INFO - Iter [105250/160000] lr: 3.750e-05, eta: 3:13:21, time: 0.195, data_time: 0.007, memory: 59439, decode.loss_ce: 0.1832, decode.acc_seg: 92.3227, loss: 0.1832 +2023-03-04 07:23:14,291 - mmseg - INFO - Iter [105300/160000] lr: 3.750e-05, eta: 3:13:10, time: 0.196, data_time: 0.007, memory: 59439, decode.loss_ce: 0.1985, decode.acc_seg: 91.8563, loss: 0.1985 +2023-03-04 07:23:24,152 - mmseg - INFO - Iter [105350/160000] lr: 3.750e-05, eta: 3:12:59, time: 0.197, data_time: 0.008, memory: 59439, decode.loss_ce: 0.1892, decode.acc_seg: 92.3460, loss: 0.1892 +2023-03-04 07:23:36,455 - mmseg - INFO - Iter [105400/160000] lr: 3.750e-05, eta: 3:12:49, time: 0.246, data_time: 0.059, memory: 59439, decode.loss_ce: 0.1859, decode.acc_seg: 92.3558, loss: 0.1859 +2023-03-04 07:23:46,142 - mmseg - INFO - Iter [105450/160000] lr: 3.750e-05, eta: 3:12:38, time: 0.194, data_time: 0.008, memory: 59439, decode.loss_ce: 0.1896, decode.acc_seg: 92.2205, loss: 0.1896 +2023-03-04 07:23:55,780 - mmseg - INFO - Iter [105500/160000] lr: 3.750e-05, eta: 3:12:27, time: 0.193, data_time: 0.007, memory: 59439, decode.loss_ce: 0.1867, decode.acc_seg: 92.3256, loss: 0.1867 +2023-03-04 07:24:05,500 - mmseg - INFO - Iter [105550/160000] lr: 3.750e-05, eta: 3:12:16, time: 0.194, data_time: 0.008, memory: 59439, decode.loss_ce: 0.1824, decode.acc_seg: 92.4404, loss: 0.1824 +2023-03-04 07:24:15,256 - mmseg - INFO - Iter [105600/160000] lr: 3.750e-05, eta: 3:12:05, time: 0.195, data_time: 0.008, memory: 59439, decode.loss_ce: 0.1850, decode.acc_seg: 92.4974, loss: 0.1850 +2023-03-04 07:24:25,130 - mmseg - INFO - Iter [105650/160000] lr: 3.750e-05, eta: 3:11:54, time: 0.197, data_time: 0.008, memory: 59439, decode.loss_ce: 0.1905, decode.acc_seg: 92.0500, loss: 0.1905 +2023-03-04 07:24:34,766 - mmseg - INFO - Iter [105700/160000] lr: 3.750e-05, eta: 3:11:43, time: 0.193, data_time: 0.008, memory: 59439, decode.loss_ce: 0.1860, decode.acc_seg: 92.3008, loss: 0.1860 +2023-03-04 07:24:44,625 - mmseg - INFO - Iter [105750/160000] lr: 3.750e-05, eta: 3:11:32, time: 0.197, data_time: 0.008, memory: 59439, decode.loss_ce: 0.1956, decode.acc_seg: 92.1590, loss: 0.1956 +2023-03-04 07:24:54,272 - mmseg - INFO - Iter [105800/160000] lr: 3.750e-05, eta: 3:11:21, time: 0.193, data_time: 0.008, memory: 59439, decode.loss_ce: 0.1836, decode.acc_seg: 92.4681, loss: 0.1836 +2023-03-04 07:25:04,017 - mmseg - INFO - Iter [105850/160000] lr: 3.750e-05, eta: 3:11:10, time: 0.195, data_time: 0.007, memory: 59439, decode.loss_ce: 0.1891, decode.acc_seg: 92.2507, loss: 0.1891 +2023-03-04 07:25:13,598 - mmseg - INFO - Iter [105900/160000] lr: 3.750e-05, eta: 3:10:59, time: 0.192, data_time: 0.008, memory: 59439, decode.loss_ce: 0.1901, decode.acc_seg: 92.1202, loss: 0.1901 +2023-03-04 07:25:23,246 - mmseg - INFO - Iter [105950/160000] lr: 3.750e-05, eta: 3:10:47, time: 0.193, data_time: 0.008, memory: 59439, decode.loss_ce: 0.1824, decode.acc_seg: 92.4405, loss: 0.1824 +2023-03-04 07:25:32,927 - mmseg - INFO - Exp name: ablation_segformer_mit_b2_segformer_head_unet_fc_small_multi_step_ade_pretrained_freeze_embed_160k_ade20k151_finetune_ema_t20.py +2023-03-04 07:25:32,927 - mmseg - INFO - Iter [106000/160000] lr: 3.750e-05, eta: 3:10:36, time: 0.194, data_time: 0.007, memory: 59439, decode.loss_ce: 0.1908, decode.acc_seg: 92.3522, loss: 0.1908 +2023-03-04 07:25:45,239 - mmseg - INFO - Iter [106050/160000] lr: 3.750e-05, eta: 3:10:27, time: 0.246, data_time: 0.054, memory: 59439, decode.loss_ce: 0.1961, decode.acc_seg: 92.0256, loss: 0.1961 +2023-03-04 07:25:54,916 - mmseg - INFO - Iter [106100/160000] lr: 3.750e-05, eta: 3:10:16, time: 0.194, data_time: 0.007, memory: 59439, decode.loss_ce: 0.1865, decode.acc_seg: 92.3529, loss: 0.1865 +2023-03-04 07:26:04,465 - mmseg - INFO - Iter [106150/160000] lr: 3.750e-05, eta: 3:10:05, time: 0.191, data_time: 0.007, memory: 59439, decode.loss_ce: 0.2007, decode.acc_seg: 91.8117, loss: 0.2007 +2023-03-04 07:26:14,208 - mmseg - INFO - Iter [106200/160000] lr: 3.750e-05, eta: 3:09:54, time: 0.195, data_time: 0.008, memory: 59439, decode.loss_ce: 0.1812, decode.acc_seg: 92.5610, loss: 0.1812 +2023-03-04 07:26:23,897 - mmseg - INFO - Iter [106250/160000] lr: 3.750e-05, eta: 3:09:42, time: 0.194, data_time: 0.008, memory: 59439, decode.loss_ce: 0.1899, decode.acc_seg: 92.1563, loss: 0.1899 +2023-03-04 07:26:33,543 - mmseg - INFO - Iter [106300/160000] lr: 3.750e-05, eta: 3:09:31, time: 0.193, data_time: 0.008, memory: 59439, decode.loss_ce: 0.1851, decode.acc_seg: 92.4533, loss: 0.1851 +2023-03-04 07:26:43,186 - mmseg - INFO - Iter [106350/160000] lr: 3.750e-05, eta: 3:09:20, time: 0.193, data_time: 0.008, memory: 59439, decode.loss_ce: 0.1880, decode.acc_seg: 92.2705, loss: 0.1880 +2023-03-04 07:26:52,928 - mmseg - INFO - Iter [106400/160000] lr: 3.750e-05, eta: 3:09:09, time: 0.195, data_time: 0.008, memory: 59439, decode.loss_ce: 0.1851, decode.acc_seg: 92.3436, loss: 0.1851 +2023-03-04 07:27:02,738 - mmseg - INFO - Iter [106450/160000] lr: 3.750e-05, eta: 3:08:58, time: 0.196, data_time: 0.008, memory: 59439, decode.loss_ce: 0.1961, decode.acc_seg: 92.1805, loss: 0.1961 +2023-03-04 07:27:12,410 - mmseg - INFO - Iter [106500/160000] lr: 3.750e-05, eta: 3:08:47, time: 0.193, data_time: 0.007, memory: 59439, decode.loss_ce: 0.1955, decode.acc_seg: 92.0950, loss: 0.1955 +2023-03-04 07:27:22,619 - mmseg - INFO - Iter [106550/160000] lr: 3.750e-05, eta: 3:08:37, time: 0.204, data_time: 0.008, memory: 59439, decode.loss_ce: 0.1966, decode.acc_seg: 91.9632, loss: 0.1966 +2023-03-04 07:27:32,111 - mmseg - INFO - Iter [106600/160000] lr: 3.750e-05, eta: 3:08:25, time: 0.190, data_time: 0.008, memory: 59439, decode.loss_ce: 0.1941, decode.acc_seg: 92.1870, loss: 0.1941 +2023-03-04 07:27:44,485 - mmseg - INFO - Iter [106650/160000] lr: 3.750e-05, eta: 3:08:16, time: 0.247, data_time: 0.056, memory: 59439, decode.loss_ce: 0.1796, decode.acc_seg: 92.4827, loss: 0.1796 +2023-03-04 07:27:54,340 - mmseg - INFO - Iter [106700/160000] lr: 3.750e-05, eta: 3:08:05, time: 0.197, data_time: 0.008, memory: 59439, decode.loss_ce: 0.1940, decode.acc_seg: 92.0998, loss: 0.1940 +2023-03-04 07:28:04,021 - mmseg - INFO - Iter [106750/160000] lr: 3.750e-05, eta: 3:07:54, time: 0.194, data_time: 0.008, memory: 59439, decode.loss_ce: 0.1831, decode.acc_seg: 92.5788, loss: 0.1831 +2023-03-04 07:28:13,570 - mmseg - INFO - Iter [106800/160000] lr: 3.750e-05, eta: 3:07:43, time: 0.191, data_time: 0.008, memory: 59439, decode.loss_ce: 0.1851, decode.acc_seg: 92.3663, loss: 0.1851 +2023-03-04 07:28:23,776 - mmseg - INFO - Iter [106850/160000] lr: 3.750e-05, eta: 3:07:32, time: 0.204, data_time: 0.007, memory: 59439, decode.loss_ce: 0.1874, decode.acc_seg: 92.3230, loss: 0.1874 +2023-03-04 07:28:33,327 - mmseg - INFO - Iter [106900/160000] lr: 3.750e-05, eta: 3:07:21, time: 0.191, data_time: 0.008, memory: 59439, decode.loss_ce: 0.1858, decode.acc_seg: 92.4443, loss: 0.1858 +2023-03-04 07:28:43,268 - mmseg - INFO - Iter [106950/160000] lr: 3.750e-05, eta: 3:07:10, time: 0.199, data_time: 0.008, memory: 59439, decode.loss_ce: 0.1832, decode.acc_seg: 92.4572, loss: 0.1832 +2023-03-04 07:28:53,217 - mmseg - INFO - Exp name: ablation_segformer_mit_b2_segformer_head_unet_fc_small_multi_step_ade_pretrained_freeze_embed_160k_ade20k151_finetune_ema_t20.py +2023-03-04 07:28:53,218 - mmseg - INFO - Iter [107000/160000] lr: 3.750e-05, eta: 3:06:59, time: 0.199, data_time: 0.008, memory: 59439, decode.loss_ce: 0.1884, decode.acc_seg: 92.2964, loss: 0.1884 +2023-03-04 07:29:02,836 - mmseg - INFO - Iter [107050/160000] lr: 3.750e-05, eta: 3:06:48, time: 0.192, data_time: 0.007, memory: 59439, decode.loss_ce: 0.1873, decode.acc_seg: 92.2560, loss: 0.1873 +2023-03-04 07:29:12,440 - mmseg - INFO - Iter [107100/160000] lr: 3.750e-05, eta: 3:06:37, time: 0.192, data_time: 0.008, memory: 59439, decode.loss_ce: 0.1884, decode.acc_seg: 92.1564, loss: 0.1884 +2023-03-04 07:29:22,041 - mmseg - INFO - Iter [107150/160000] lr: 3.750e-05, eta: 3:06:26, time: 0.192, data_time: 0.008, memory: 59439, decode.loss_ce: 0.1886, decode.acc_seg: 92.4113, loss: 0.1886 +2023-03-04 07:29:31,724 - mmseg - INFO - Iter [107200/160000] lr: 3.750e-05, eta: 3:06:15, time: 0.193, data_time: 0.007, memory: 59439, decode.loss_ce: 0.1848, decode.acc_seg: 92.5292, loss: 0.1848 +2023-03-04 07:29:41,697 - mmseg - INFO - Iter [107250/160000] lr: 3.750e-05, eta: 3:06:04, time: 0.199, data_time: 0.008, memory: 59439, decode.loss_ce: 0.1892, decode.acc_seg: 92.2949, loss: 0.1892 +2023-03-04 07:29:53,931 - mmseg - INFO - Iter [107300/160000] lr: 3.750e-05, eta: 3:05:54, time: 0.245, data_time: 0.052, memory: 59439, decode.loss_ce: 0.1889, decode.acc_seg: 92.0873, loss: 0.1889 +2023-03-04 07:30:03,759 - mmseg - INFO - Iter [107350/160000] lr: 3.750e-05, eta: 3:05:43, time: 0.197, data_time: 0.008, memory: 59439, decode.loss_ce: 0.1904, decode.acc_seg: 92.2111, loss: 0.1904 +2023-03-04 07:30:13,727 - mmseg - INFO - Iter [107400/160000] lr: 3.750e-05, eta: 3:05:32, time: 0.199, data_time: 0.007, memory: 59439, decode.loss_ce: 0.1925, decode.acc_seg: 92.0596, loss: 0.1925 +2023-03-04 07:30:23,250 - mmseg - INFO - Iter [107450/160000] lr: 3.750e-05, eta: 3:05:21, time: 0.190, data_time: 0.008, memory: 59439, decode.loss_ce: 0.1878, decode.acc_seg: 92.2205, loss: 0.1878 +2023-03-04 07:30:32,752 - mmseg - INFO - Iter [107500/160000] lr: 3.750e-05, eta: 3:05:10, time: 0.190, data_time: 0.008, memory: 59439, decode.loss_ce: 0.1866, decode.acc_seg: 92.3092, loss: 0.1866 +2023-03-04 07:30:42,613 - mmseg - INFO - Iter [107550/160000] lr: 3.750e-05, eta: 3:04:59, time: 0.197, data_time: 0.007, memory: 59439, decode.loss_ce: 0.1953, decode.acc_seg: 92.0325, loss: 0.1953 +2023-03-04 07:30:52,366 - mmseg - INFO - Iter [107600/160000] lr: 3.750e-05, eta: 3:04:48, time: 0.195, data_time: 0.008, memory: 59439, decode.loss_ce: 0.1884, decode.acc_seg: 92.2594, loss: 0.1884 +2023-03-04 07:31:02,053 - mmseg - INFO - Iter [107650/160000] lr: 3.750e-05, eta: 3:04:37, time: 0.193, data_time: 0.007, memory: 59439, decode.loss_ce: 0.1873, decode.acc_seg: 92.2417, loss: 0.1873 +2023-03-04 07:31:11,709 - mmseg - INFO - Iter [107700/160000] lr: 3.750e-05, eta: 3:04:26, time: 0.193, data_time: 0.008, memory: 59439, decode.loss_ce: 0.1906, decode.acc_seg: 92.1440, loss: 0.1906 +2023-03-04 07:31:21,213 - mmseg - INFO - Iter [107750/160000] lr: 3.750e-05, eta: 3:04:15, time: 0.190, data_time: 0.008, memory: 59439, decode.loss_ce: 0.1878, decode.acc_seg: 92.1939, loss: 0.1878 +2023-03-04 07:31:30,924 - mmseg - INFO - Iter [107800/160000] lr: 3.750e-05, eta: 3:04:04, time: 0.194, data_time: 0.008, memory: 59439, decode.loss_ce: 0.1885, decode.acc_seg: 92.4008, loss: 0.1885 +2023-03-04 07:31:40,678 - mmseg - INFO - Iter [107850/160000] lr: 3.750e-05, eta: 3:03:53, time: 0.195, data_time: 0.007, memory: 59439, decode.loss_ce: 0.1881, decode.acc_seg: 92.2683, loss: 0.1881 +2023-03-04 07:31:50,236 - mmseg - INFO - Iter [107900/160000] lr: 3.750e-05, eta: 3:03:42, time: 0.191, data_time: 0.008, memory: 59439, decode.loss_ce: 0.1852, decode.acc_seg: 92.2725, loss: 0.1852 +2023-03-04 07:32:03,062 - mmseg - INFO - Iter [107950/160000] lr: 3.750e-05, eta: 3:03:32, time: 0.257, data_time: 0.055, memory: 59439, decode.loss_ce: 0.1819, decode.acc_seg: 92.4305, loss: 0.1819 +2023-03-04 07:32:13,152 - mmseg - INFO - Exp name: ablation_segformer_mit_b2_segformer_head_unet_fc_small_multi_step_ade_pretrained_freeze_embed_160k_ade20k151_finetune_ema_t20.py +2023-03-04 07:32:13,152 - mmseg - INFO - Iter [108000/160000] lr: 3.750e-05, eta: 3:03:22, time: 0.202, data_time: 0.007, memory: 59439, decode.loss_ce: 0.1921, decode.acc_seg: 92.1378, loss: 0.1921 +2023-03-04 07:32:22,650 - mmseg - INFO - Iter [108050/160000] lr: 3.750e-05, eta: 3:03:10, time: 0.190, data_time: 0.007, memory: 59439, decode.loss_ce: 0.1819, decode.acc_seg: 92.4926, loss: 0.1819 +2023-03-04 07:32:32,401 - mmseg - INFO - Iter [108100/160000] lr: 3.750e-05, eta: 3:03:00, time: 0.195, data_time: 0.008, memory: 59439, decode.loss_ce: 0.1880, decode.acc_seg: 92.2618, loss: 0.1880 +2023-03-04 07:32:42,162 - mmseg - INFO - Iter [108150/160000] lr: 3.750e-05, eta: 3:02:49, time: 0.195, data_time: 0.007, memory: 59439, decode.loss_ce: 0.1897, decode.acc_seg: 92.1212, loss: 0.1897 +2023-03-04 07:32:52,032 - mmseg - INFO - Iter [108200/160000] lr: 3.750e-05, eta: 3:02:38, time: 0.197, data_time: 0.007, memory: 59439, decode.loss_ce: 0.1975, decode.acc_seg: 92.1416, loss: 0.1975 +2023-03-04 07:33:02,041 - mmseg - INFO - Iter [108250/160000] lr: 3.750e-05, eta: 3:02:27, time: 0.200, data_time: 0.008, memory: 59439, decode.loss_ce: 0.1859, decode.acc_seg: 92.3060, loss: 0.1859 +2023-03-04 07:33:11,643 - mmseg - INFO - Iter [108300/160000] lr: 3.750e-05, eta: 3:02:16, time: 0.192, data_time: 0.008, memory: 59439, decode.loss_ce: 0.1898, decode.acc_seg: 92.1729, loss: 0.1898 +2023-03-04 07:33:21,629 - mmseg - INFO - Iter [108350/160000] lr: 3.750e-05, eta: 3:02:05, time: 0.199, data_time: 0.007, memory: 59439, decode.loss_ce: 0.1830, decode.acc_seg: 92.5363, loss: 0.1830 +2023-03-04 07:33:31,521 - mmseg - INFO - Iter [108400/160000] lr: 3.750e-05, eta: 3:01:54, time: 0.198, data_time: 0.008, memory: 59439, decode.loss_ce: 0.1867, decode.acc_seg: 92.3116, loss: 0.1867 +2023-03-04 07:33:41,153 - mmseg - INFO - Iter [108450/160000] lr: 3.750e-05, eta: 3:01:43, time: 0.193, data_time: 0.008, memory: 59439, decode.loss_ce: 0.1987, decode.acc_seg: 91.9790, loss: 0.1987 +2023-03-04 07:33:50,801 - mmseg - INFO - Iter [108500/160000] lr: 3.750e-05, eta: 3:01:32, time: 0.193, data_time: 0.008, memory: 59439, decode.loss_ce: 0.1921, decode.acc_seg: 92.0730, loss: 0.1921 +2023-03-04 07:34:03,117 - mmseg - INFO - Iter [108550/160000] lr: 3.750e-05, eta: 3:01:22, time: 0.246, data_time: 0.056, memory: 59439, decode.loss_ce: 0.1902, decode.acc_seg: 92.1764, loss: 0.1902 +2023-03-04 07:34:12,941 - mmseg - INFO - Iter [108600/160000] lr: 3.750e-05, eta: 3:01:11, time: 0.196, data_time: 0.007, memory: 59439, decode.loss_ce: 0.1903, decode.acc_seg: 92.1684, loss: 0.1903 +2023-03-04 07:34:22,504 - mmseg - INFO - Iter [108650/160000] lr: 3.750e-05, eta: 3:01:00, time: 0.191, data_time: 0.008, memory: 59439, decode.loss_ce: 0.1868, decode.acc_seg: 92.3179, loss: 0.1868 +2023-03-04 07:34:32,278 - mmseg - INFO - Iter [108700/160000] lr: 3.750e-05, eta: 3:00:49, time: 0.195, data_time: 0.008, memory: 59439, decode.loss_ce: 0.1910, decode.acc_seg: 92.2566, loss: 0.1910 +2023-03-04 07:34:42,220 - mmseg - INFO - Iter [108750/160000] lr: 3.750e-05, eta: 3:00:38, time: 0.199, data_time: 0.008, memory: 59439, decode.loss_ce: 0.1855, decode.acc_seg: 92.3302, loss: 0.1855 +2023-03-04 07:34:52,018 - mmseg - INFO - Iter [108800/160000] lr: 3.750e-05, eta: 3:00:27, time: 0.196, data_time: 0.008, memory: 59439, decode.loss_ce: 0.1855, decode.acc_seg: 92.3943, loss: 0.1855 +2023-03-04 07:35:01,725 - mmseg - INFO - Iter [108850/160000] lr: 3.750e-05, eta: 3:00:16, time: 0.194, data_time: 0.008, memory: 59439, decode.loss_ce: 0.1770, decode.acc_seg: 92.5780, loss: 0.1770 +2023-03-04 07:35:11,323 - mmseg - INFO - Iter [108900/160000] lr: 3.750e-05, eta: 3:00:05, time: 0.192, data_time: 0.008, memory: 59439, decode.loss_ce: 0.1852, decode.acc_seg: 92.3723, loss: 0.1852 +2023-03-04 07:35:20,990 - mmseg - INFO - Iter [108950/160000] lr: 3.750e-05, eta: 2:59:54, time: 0.193, data_time: 0.008, memory: 59439, decode.loss_ce: 0.1899, decode.acc_seg: 92.2755, loss: 0.1899 +2023-03-04 07:35:30,757 - mmseg - INFO - Exp name: ablation_segformer_mit_b2_segformer_head_unet_fc_small_multi_step_ade_pretrained_freeze_embed_160k_ade20k151_finetune_ema_t20.py +2023-03-04 07:35:30,757 - mmseg - INFO - Iter [109000/160000] lr: 3.750e-05, eta: 2:59:43, time: 0.195, data_time: 0.008, memory: 59439, decode.loss_ce: 0.1816, decode.acc_seg: 92.5545, loss: 0.1816 +2023-03-04 07:35:41,195 - mmseg - INFO - Iter [109050/160000] lr: 3.750e-05, eta: 2:59:33, time: 0.208, data_time: 0.008, memory: 59439, decode.loss_ce: 0.1963, decode.acc_seg: 92.0932, loss: 0.1963 +2023-03-04 07:35:51,020 - mmseg - INFO - Iter [109100/160000] lr: 3.750e-05, eta: 2:59:22, time: 0.197, data_time: 0.008, memory: 59439, decode.loss_ce: 0.1858, decode.acc_seg: 92.3289, loss: 0.1858 +2023-03-04 07:36:00,753 - mmseg - INFO - Iter [109150/160000] lr: 3.750e-05, eta: 2:59:11, time: 0.195, data_time: 0.008, memory: 59439, decode.loss_ce: 0.1802, decode.acc_seg: 92.6039, loss: 0.1802 +2023-03-04 07:36:13,421 - mmseg - INFO - Iter [109200/160000] lr: 3.750e-05, eta: 2:59:01, time: 0.253, data_time: 0.055, memory: 59439, decode.loss_ce: 0.1921, decode.acc_seg: 92.0453, loss: 0.1921 +2023-03-04 07:36:22,964 - mmseg - INFO - Iter [109250/160000] lr: 3.750e-05, eta: 2:58:50, time: 0.191, data_time: 0.008, memory: 59439, decode.loss_ce: 0.1919, decode.acc_seg: 92.2325, loss: 0.1919 +2023-03-04 07:36:32,792 - mmseg - INFO - Iter [109300/160000] lr: 3.750e-05, eta: 2:58:39, time: 0.197, data_time: 0.008, memory: 59439, decode.loss_ce: 0.1817, decode.acc_seg: 92.3836, loss: 0.1817 +2023-03-04 07:36:42,541 - mmseg - INFO - Iter [109350/160000] lr: 3.750e-05, eta: 2:58:28, time: 0.195, data_time: 0.007, memory: 59439, decode.loss_ce: 0.1819, decode.acc_seg: 92.6099, loss: 0.1819 +2023-03-04 07:36:52,090 - mmseg - INFO - Iter [109400/160000] lr: 3.750e-05, eta: 2:58:17, time: 0.191, data_time: 0.008, memory: 59439, decode.loss_ce: 0.1898, decode.acc_seg: 92.2564, loss: 0.1898 +2023-03-04 07:37:01,640 - mmseg - INFO - Iter [109450/160000] lr: 3.750e-05, eta: 2:58:06, time: 0.191, data_time: 0.007, memory: 59439, decode.loss_ce: 0.1833, decode.acc_seg: 92.4299, loss: 0.1833 +2023-03-04 07:37:11,398 - mmseg - INFO - Iter [109500/160000] lr: 3.750e-05, eta: 2:57:55, time: 0.195, data_time: 0.008, memory: 59439, decode.loss_ce: 0.1927, decode.acc_seg: 92.2107, loss: 0.1927 +2023-03-04 07:37:21,085 - mmseg - INFO - Iter [109550/160000] lr: 3.750e-05, eta: 2:57:44, time: 0.194, data_time: 0.008, memory: 59439, decode.loss_ce: 0.1848, decode.acc_seg: 92.4022, loss: 0.1848 +2023-03-04 07:37:30,942 - mmseg - INFO - Iter [109600/160000] lr: 3.750e-05, eta: 2:57:34, time: 0.197, data_time: 0.008, memory: 59439, decode.loss_ce: 0.1941, decode.acc_seg: 91.9356, loss: 0.1941 +2023-03-04 07:37:40,770 - mmseg - INFO - Iter [109650/160000] lr: 3.750e-05, eta: 2:57:23, time: 0.197, data_time: 0.008, memory: 59439, decode.loss_ce: 0.1807, decode.acc_seg: 92.6035, loss: 0.1807 +2023-03-04 07:37:50,637 - mmseg - INFO - Iter [109700/160000] lr: 3.750e-05, eta: 2:57:12, time: 0.197, data_time: 0.007, memory: 59439, decode.loss_ce: 0.1812, decode.acc_seg: 92.5165, loss: 0.1812 +2023-03-04 07:38:00,275 - mmseg - INFO - Iter [109750/160000] lr: 3.750e-05, eta: 2:57:01, time: 0.193, data_time: 0.008, memory: 59439, decode.loss_ce: 0.1945, decode.acc_seg: 91.9903, loss: 0.1945 +2023-03-04 07:38:12,575 - mmseg - INFO - Iter [109800/160000] lr: 3.750e-05, eta: 2:56:51, time: 0.246, data_time: 0.056, memory: 59439, decode.loss_ce: 0.1908, decode.acc_seg: 92.1325, loss: 0.1908 +2023-03-04 07:38:22,300 - mmseg - INFO - Iter [109850/160000] lr: 3.750e-05, eta: 2:56:40, time: 0.194, data_time: 0.007, memory: 59439, decode.loss_ce: 0.1833, decode.acc_seg: 92.3974, loss: 0.1833 +2023-03-04 07:38:31,996 - mmseg - INFO - Iter [109900/160000] lr: 3.750e-05, eta: 2:56:29, time: 0.194, data_time: 0.008, memory: 59439, decode.loss_ce: 0.1888, decode.acc_seg: 92.3301, loss: 0.1888 +2023-03-04 07:38:41,711 - mmseg - INFO - Iter [109950/160000] lr: 3.750e-05, eta: 2:56:18, time: 0.194, data_time: 0.007, memory: 59439, decode.loss_ce: 0.1828, decode.acc_seg: 92.4677, loss: 0.1828 +2023-03-04 07:38:51,450 - mmseg - INFO - Exp name: ablation_segformer_mit_b2_segformer_head_unet_fc_small_multi_step_ade_pretrained_freeze_embed_160k_ade20k151_finetune_ema_t20.py +2023-03-04 07:38:51,450 - mmseg - INFO - Iter [110000/160000] lr: 3.750e-05, eta: 2:56:07, time: 0.195, data_time: 0.008, memory: 59439, decode.loss_ce: 0.1846, decode.acc_seg: 92.4569, loss: 0.1846 +2023-03-04 07:39:01,002 - mmseg - INFO - Iter [110050/160000] lr: 3.750e-05, eta: 2:55:56, time: 0.191, data_time: 0.008, memory: 59439, decode.loss_ce: 0.1897, decode.acc_seg: 92.3262, loss: 0.1897 +2023-03-04 07:39:10,541 - mmseg - INFO - Iter [110100/160000] lr: 3.750e-05, eta: 2:55:45, time: 0.191, data_time: 0.008, memory: 59439, decode.loss_ce: 0.1840, decode.acc_seg: 92.3990, loss: 0.1840 +2023-03-04 07:39:20,260 - mmseg - INFO - Iter [110150/160000] lr: 3.750e-05, eta: 2:55:34, time: 0.194, data_time: 0.008, memory: 59439, decode.loss_ce: 0.1922, decode.acc_seg: 92.0412, loss: 0.1922 +2023-03-04 07:39:29,919 - mmseg - INFO - Iter [110200/160000] lr: 3.750e-05, eta: 2:55:23, time: 0.193, data_time: 0.007, memory: 59439, decode.loss_ce: 0.1873, decode.acc_seg: 92.2865, loss: 0.1873 +2023-03-04 07:39:39,531 - mmseg - INFO - Iter [110250/160000] lr: 3.750e-05, eta: 2:55:12, time: 0.192, data_time: 0.008, memory: 59439, decode.loss_ce: 0.1901, decode.acc_seg: 92.2316, loss: 0.1901 +2023-03-04 07:39:49,084 - mmseg - INFO - Iter [110300/160000] lr: 3.750e-05, eta: 2:55:01, time: 0.191, data_time: 0.008, memory: 59439, decode.loss_ce: 0.1813, decode.acc_seg: 92.3042, loss: 0.1813 +2023-03-04 07:39:59,314 - mmseg - INFO - Iter [110350/160000] lr: 3.750e-05, eta: 2:54:50, time: 0.205, data_time: 0.008, memory: 59439, decode.loss_ce: 0.1936, decode.acc_seg: 92.0679, loss: 0.1936 +2023-03-04 07:40:08,933 - mmseg - INFO - Iter [110400/160000] lr: 3.750e-05, eta: 2:54:39, time: 0.192, data_time: 0.008, memory: 59439, decode.loss_ce: 0.1971, decode.acc_seg: 92.0103, loss: 0.1971 +2023-03-04 07:40:21,106 - mmseg - INFO - Iter [110450/160000] lr: 3.750e-05, eta: 2:54:30, time: 0.243, data_time: 0.060, memory: 59439, decode.loss_ce: 0.1895, decode.acc_seg: 92.2666, loss: 0.1895 +2023-03-04 07:40:30,996 - mmseg - INFO - Iter [110500/160000] lr: 3.750e-05, eta: 2:54:19, time: 0.198, data_time: 0.007, memory: 59439, decode.loss_ce: 0.1963, decode.acc_seg: 92.0420, loss: 0.1963 +2023-03-04 07:40:40,704 - mmseg - INFO - Iter [110550/160000] lr: 3.750e-05, eta: 2:54:08, time: 0.194, data_time: 0.008, memory: 59439, decode.loss_ce: 0.1858, decode.acc_seg: 92.3717, loss: 0.1858 +2023-03-04 07:40:50,282 - mmseg - INFO - Iter [110600/160000] lr: 3.750e-05, eta: 2:53:57, time: 0.192, data_time: 0.008, memory: 59439, decode.loss_ce: 0.1834, decode.acc_seg: 92.4588, loss: 0.1834 +2023-03-04 07:40:59,982 - mmseg - INFO - Iter [110650/160000] lr: 3.750e-05, eta: 2:53:46, time: 0.194, data_time: 0.008, memory: 59439, decode.loss_ce: 0.1839, decode.acc_seg: 92.5355, loss: 0.1839 +2023-03-04 07:41:09,555 - mmseg - INFO - Iter [110700/160000] lr: 3.750e-05, eta: 2:53:35, time: 0.191, data_time: 0.007, memory: 59439, decode.loss_ce: 0.1839, decode.acc_seg: 92.3410, loss: 0.1839 +2023-03-04 07:41:19,373 - mmseg - INFO - Iter [110750/160000] lr: 3.750e-05, eta: 2:53:24, time: 0.196, data_time: 0.008, memory: 59439, decode.loss_ce: 0.1957, decode.acc_seg: 91.8894, loss: 0.1957 +2023-03-04 07:41:29,187 - mmseg - INFO - Iter [110800/160000] lr: 3.750e-05, eta: 2:53:13, time: 0.196, data_time: 0.007, memory: 59439, decode.loss_ce: 0.1755, decode.acc_seg: 92.7329, loss: 0.1755 +2023-03-04 07:41:39,027 - mmseg - INFO - Iter [110850/160000] lr: 3.750e-05, eta: 2:53:02, time: 0.197, data_time: 0.007, memory: 59439, decode.loss_ce: 0.1857, decode.acc_seg: 92.3631, loss: 0.1857 +2023-03-04 07:41:48,777 - mmseg - INFO - Iter [110900/160000] lr: 3.750e-05, eta: 2:52:51, time: 0.195, data_time: 0.008, memory: 59439, decode.loss_ce: 0.1887, decode.acc_seg: 92.2300, loss: 0.1887 +2023-03-04 07:41:58,534 - mmseg - INFO - Iter [110950/160000] lr: 3.750e-05, eta: 2:52:40, time: 0.195, data_time: 0.007, memory: 59439, decode.loss_ce: 0.1914, decode.acc_seg: 92.0904, loss: 0.1914 +2023-03-04 07:42:08,098 - mmseg - INFO - Exp name: ablation_segformer_mit_b2_segformer_head_unet_fc_small_multi_step_ade_pretrained_freeze_embed_160k_ade20k151_finetune_ema_t20.py +2023-03-04 07:42:08,098 - mmseg - INFO - Iter [111000/160000] lr: 3.750e-05, eta: 2:52:29, time: 0.191, data_time: 0.008, memory: 59439, decode.loss_ce: 0.1834, decode.acc_seg: 92.5524, loss: 0.1834 +2023-03-04 07:42:17,795 - mmseg - INFO - Iter [111050/160000] lr: 3.750e-05, eta: 2:52:18, time: 0.194, data_time: 0.008, memory: 59439, decode.loss_ce: 0.1840, decode.acc_seg: 92.4128, loss: 0.1840 +2023-03-04 07:42:30,054 - mmseg - INFO - Iter [111100/160000] lr: 3.750e-05, eta: 2:52:09, time: 0.245, data_time: 0.054, memory: 59439, decode.loss_ce: 0.1909, decode.acc_seg: 92.2210, loss: 0.1909 +2023-03-04 07:42:39,739 - mmseg - INFO - Iter [111150/160000] lr: 3.750e-05, eta: 2:51:58, time: 0.194, data_time: 0.008, memory: 59439, decode.loss_ce: 0.1843, decode.acc_seg: 92.4121, loss: 0.1843 +2023-03-04 07:42:49,399 - mmseg - INFO - Iter [111200/160000] lr: 3.750e-05, eta: 2:51:47, time: 0.193, data_time: 0.008, memory: 59439, decode.loss_ce: 0.1911, decode.acc_seg: 92.1249, loss: 0.1911 +2023-03-04 07:42:59,095 - mmseg - INFO - Iter [111250/160000] lr: 3.750e-05, eta: 2:51:36, time: 0.194, data_time: 0.007, memory: 59439, decode.loss_ce: 0.2005, decode.acc_seg: 91.9814, loss: 0.2005 +2023-03-04 07:43:08,695 - mmseg - INFO - Iter [111300/160000] lr: 3.750e-05, eta: 2:51:25, time: 0.192, data_time: 0.008, memory: 59439, decode.loss_ce: 0.1853, decode.acc_seg: 92.2719, loss: 0.1853 +2023-03-04 07:43:18,488 - mmseg - INFO - Iter [111350/160000] lr: 3.750e-05, eta: 2:51:14, time: 0.196, data_time: 0.008, memory: 59439, decode.loss_ce: 0.1843, decode.acc_seg: 92.3476, loss: 0.1843 +2023-03-04 07:43:28,155 - mmseg - INFO - Iter [111400/160000] lr: 3.750e-05, eta: 2:51:03, time: 0.193, data_time: 0.008, memory: 59439, decode.loss_ce: 0.1890, decode.acc_seg: 92.0982, loss: 0.1890 +2023-03-04 07:43:37,931 - mmseg - INFO - Iter [111450/160000] lr: 3.750e-05, eta: 2:50:52, time: 0.196, data_time: 0.008, memory: 59439, decode.loss_ce: 0.1880, decode.acc_seg: 92.2766, loss: 0.1880 +2023-03-04 07:43:47,457 - mmseg - INFO - Iter [111500/160000] lr: 3.750e-05, eta: 2:50:41, time: 0.190, data_time: 0.008, memory: 59439, decode.loss_ce: 0.1845, decode.acc_seg: 92.2485, loss: 0.1845 +2023-03-04 07:43:57,078 - mmseg - INFO - Iter [111550/160000] lr: 3.750e-05, eta: 2:50:30, time: 0.192, data_time: 0.008, memory: 59439, decode.loss_ce: 0.1833, decode.acc_seg: 92.2896, loss: 0.1833 +2023-03-04 07:44:06,668 - mmseg - INFO - Iter [111600/160000] lr: 3.750e-05, eta: 2:50:19, time: 0.192, data_time: 0.008, memory: 59439, decode.loss_ce: 0.1853, decode.acc_seg: 92.3831, loss: 0.1853 +2023-03-04 07:44:16,566 - mmseg - INFO - Iter [111650/160000] lr: 3.750e-05, eta: 2:50:08, time: 0.198, data_time: 0.008, memory: 59439, decode.loss_ce: 0.1878, decode.acc_seg: 92.2831, loss: 0.1878 +2023-03-04 07:44:28,975 - mmseg - INFO - Iter [111700/160000] lr: 3.750e-05, eta: 2:49:58, time: 0.248, data_time: 0.058, memory: 59439, decode.loss_ce: 0.1819, decode.acc_seg: 92.4940, loss: 0.1819 +2023-03-04 07:44:38,686 - mmseg - INFO - Iter [111750/160000] lr: 3.750e-05, eta: 2:49:47, time: 0.194, data_time: 0.007, memory: 59439, decode.loss_ce: 0.1866, decode.acc_seg: 92.3037, loss: 0.1866 +2023-03-04 07:44:48,723 - mmseg - INFO - Iter [111800/160000] lr: 3.750e-05, eta: 2:49:37, time: 0.201, data_time: 0.008, memory: 59439, decode.loss_ce: 0.1907, decode.acc_seg: 92.1207, loss: 0.1907 +2023-03-04 07:44:58,348 - mmseg - INFO - Iter [111850/160000] lr: 3.750e-05, eta: 2:49:26, time: 0.192, data_time: 0.008, memory: 59439, decode.loss_ce: 0.1843, decode.acc_seg: 92.4142, loss: 0.1843 +2023-03-04 07:45:08,463 - mmseg - INFO - Iter [111900/160000] lr: 3.750e-05, eta: 2:49:15, time: 0.202, data_time: 0.008, memory: 59439, decode.loss_ce: 0.1886, decode.acc_seg: 92.2663, loss: 0.1886 +2023-03-04 07:45:18,264 - mmseg - INFO - Iter [111950/160000] lr: 3.750e-05, eta: 2:49:04, time: 0.196, data_time: 0.007, memory: 59439, decode.loss_ce: 0.1998, decode.acc_seg: 91.8039, loss: 0.1998 +2023-03-04 07:45:27,814 - mmseg - INFO - Swap parameters (after train) after iter [112000] +2023-03-04 07:45:27,826 - mmseg - INFO - Saving checkpoint at 112000 iterations +2023-03-04 07:45:28,841 - mmseg - INFO - Exp name: ablation_segformer_mit_b2_segformer_head_unet_fc_small_multi_step_ade_pretrained_freeze_embed_160k_ade20k151_finetune_ema_t20.py +2023-03-04 07:45:28,841 - mmseg - INFO - Iter [112000/160000] lr: 3.750e-05, eta: 2:48:54, time: 0.212, data_time: 0.008, memory: 59439, decode.loss_ce: 0.1874, decode.acc_seg: 92.3400, loss: 0.1874 +2023-03-04 07:48:58,085 - mmseg - INFO - per class results: +2023-03-04 07:48:58,098 - mmseg - INFO - ++---------------------+-------------------------------------------------------------------------------------------------------------------------+ +| Class | IoU 0,1,2,3,4,5,6,7,8,9,10,11,12,13,14,15,16,17,18,19 | ++---------------------+-------------------------------------------------------------------------------------------------------------------------+ +| background | nan,nan,nan,nan,nan,nan,nan,nan,nan,nan,nan,nan,nan,nan,nan,nan,nan,nan,nan,nan | +| wall | 77.51,77.53,77.53,77.55,77.56,77.57,77.57,77.58,77.58,77.58,77.59,77.58,77.58,77.59,77.59,77.59,77.6,77.59,77.6,77.59 | +| building | 81.68,81.69,81.68,81.68,81.69,81.7,81.7,81.71,81.71,81.71,81.73,81.72,81.73,81.73,81.74,81.74,81.75,81.75,81.77,81.76 | +| sky | 94.43,94.44,94.44,94.45,94.45,94.45,94.45,94.45,94.45,94.46,94.46,94.46,94.46,94.47,94.47,94.47,94.47,94.47,94.48,94.47 | +| floor | 81.76,81.78,81.81,81.82,81.81,81.85,81.84,81.85,81.85,81.86,81.86,81.86,81.87,81.86,81.88,81.87,81.89,81.88,81.9,81.89 | +| tree | 74.32,74.33,74.35,74.35,74.35,74.37,74.37,74.39,74.39,74.39,74.41,74.41,74.41,74.43,74.43,74.45,74.44,74.44,74.46,74.45 | +| ceiling | 85.29,85.3,85.32,85.34,85.33,85.37,85.35,85.38,85.36,85.38,85.38,85.4,85.38,85.41,85.39,85.41,85.4,85.42,85.4,85.4 | +| road | 82.01,81.99,81.97,81.97,81.97,81.97,81.94,81.96,81.9,81.95,81.84,81.94,81.83,81.9,81.83,81.89,81.82,81.87,81.81,81.86 | +| bed | 87.85,87.86,87.86,87.88,87.88,87.9,87.87,87.9,87.88,87.88,87.88,87.93,87.89,87.96,87.89,87.94,87.89,87.92,87.92,87.92 | +| windowpane | 60.91,60.96,60.94,60.95,60.96,60.96,60.94,60.94,60.91,60.94,60.92,60.96,60.94,60.95,60.94,60.95,60.95,60.93,60.93,60.91 | +| grass | 67.04,67.07,67.07,67.07,67.07,67.09,67.1,67.09,67.08,67.08,67.09,67.12,67.08,67.09,67.07,67.1,67.07,67.11,67.06,67.1 | +| cabinet | 61.31,61.42,61.43,61.5,61.51,61.68,61.59,61.75,61.7,61.79,61.76,61.84,61.83,61.87,61.88,61.89,61.93,61.92,61.98,61.95 | +| sidewalk | 64.16,64.11,64.08,64.1,64.05,64.09,64.03,64.08,64.0,64.08,63.94,64.06,63.88,63.98,63.87,63.95,63.83,63.91,63.82,63.87 | +| person | 79.93,79.93,79.94,79.96,79.97,79.99,79.97,80.0,80.01,80.02,80.02,80.03,80.04,80.05,80.07,80.05,80.07,80.06,80.06,80.06 | +| earth | 35.44,35.4,35.43,35.39,35.4,35.37,35.38,35.36,35.32,35.31,35.29,35.34,35.3,35.32,35.32,35.33,35.28,35.35,35.26,35.35 | +| door | 45.91,45.93,45.95,45.96,46.03,46.04,46.02,46.06,46.02,46.04,46.04,46.01,46.01,46.02,46.08,46.06,46.11,46.03,46.11,46.05 | +| table | 61.3,61.35,61.4,61.44,61.47,61.54,61.57,61.61,61.65,61.65,61.72,61.74,61.75,61.71,61.79,61.75,61.84,61.75,61.85,61.76 | +| mountain | 56.92,56.86,56.93,56.95,57.03,57.06,57.03,57.11,57.09,57.12,57.13,57.1,57.13,57.11,57.1,57.1,57.09,57.08,57.07,57.08 | +| plant | 49.96,49.96,49.96,49.98,49.97,49.93,49.95,49.95,49.97,49.98,49.98,49.95,49.96,49.99,49.95,49.99,49.96,50.0,49.96,49.99 | +| curtain | 74.62,74.62,74.66,74.58,74.67,74.67,74.69,74.71,74.66,74.71,74.72,74.74,74.77,74.78,74.81,74.78,74.79,74.79,74.79,74.78 | +| chair | 56.64,56.66,56.68,56.69,56.7,56.69,56.7,56.72,56.74,56.76,56.77,56.77,56.75,56.76,56.82,56.75,56.8,56.77,56.79,56.77 | +| car | 82.16,82.19,82.2,82.22,82.22,82.23,82.25,82.24,82.28,82.25,82.24,82.26,82.24,82.26,82.24,82.24,82.2,82.21,82.17,82.17 | +| water | 56.84,56.85,56.87,56.88,56.9,56.89,56.89,56.89,56.92,56.91,56.91,56.93,56.94,56.96,56.95,56.94,56.93,56.95,56.94,56.94 | +| painting | 70.66,70.76,70.74,70.76,70.74,70.71,70.67,70.68,70.67,70.64,70.66,70.65,70.7,70.64,70.67,70.67,70.67,70.68,70.66,70.68 | +| sofa | 65.24,65.34,65.32,65.45,65.36,65.42,65.36,65.49,65.5,65.55,65.49,65.69,65.58,65.69,65.59,65.67,65.64,65.7,65.62,65.72 | +| shelf | 44.4,44.48,44.5,44.44,44.52,44.53,44.52,44.59,44.56,44.58,44.55,44.51,44.5,44.45,44.57,44.44,44.53,44.48,44.53,44.53 | +| house | 42.05,42.07,42.02,42.07,42.1,42.14,42.17,42.19,42.14,42.25,42.28,42.33,42.34,42.38,42.45,42.53,42.54,42.58,42.59,42.63 | +| sea | 60.04,60.05,60.08,60.09,60.12,60.09,60.17,60.12,60.21,60.18,60.19,60.24,60.25,60.29,60.3,60.31,60.32,60.33,60.37,60.36 | +| mirror | 66.97,66.99,67.06,67.09,67.15,67.19,67.24,67.2,67.25,67.22,67.24,67.25,67.24,67.26,67.25,67.34,67.34,67.42,67.38,67.44 | +| rug | 64.79,64.95,65.1,65.18,65.15,65.35,65.37,65.46,65.41,65.48,65.43,65.57,65.54,65.52,65.57,65.61,65.59,65.61,65.63,65.66 | +| field | 31.34,31.35,31.34,31.38,31.37,31.4,31.38,31.41,31.41,31.43,31.41,31.45,31.43,31.46,31.44,31.49,31.46,31.51,31.47,31.53 | +| armchair | 38.65,38.75,38.77,38.82,38.76,38.9,38.82,38.97,38.9,38.99,38.94,39.09,39.05,39.11,39.04,39.15,39.08,39.18,39.08,39.21 | +| seat | 66.27,66.25,66.34,66.37,66.39,66.53,66.49,66.51,66.61,66.66,66.62,66.7,66.74,66.74,66.74,66.79,66.73,66.8,66.73,66.82 | +| fence | 41.04,41.19,41.14,41.09,41.18,41.17,41.21,41.18,41.28,41.17,41.18,41.12,41.16,41.13,41.15,41.12,41.14,41.08,41.16,41.06 | +| desk | 47.31,47.42,47.37,47.48,47.52,47.49,47.52,47.56,47.51,47.62,47.57,47.6,47.52,47.64,47.59,47.67,47.67,47.75,47.71,47.87 | +| rock | 37.25,37.26,37.29,37.23,37.27,37.28,37.24,37.31,37.22,37.23,37.18,37.21,37.17,37.24,37.14,37.24,37.13,37.2,37.11,37.18 | +| wardrobe | 57.6,57.71,57.75,57.69,57.8,57.77,57.83,57.83,57.83,57.83,57.78,57.89,57.77,57.87,57.76,57.85,57.75,57.83,57.71,57.8 | +| lamp | 62.5,62.49,62.52,62.55,62.52,62.52,62.51,62.52,62.51,62.54,62.53,62.51,62.53,62.54,62.55,62.51,62.56,62.51,62.53,62.51 | +| bathtub | 77.74,77.81,77.81,77.75,77.42,77.51,77.37,77.26,77.09,76.96,76.74,76.69,76.53,76.48,76.51,76.32,76.37,76.28,76.36,76.24 | +| railing | 34.38,34.38,34.39,34.37,34.39,34.36,34.45,34.31,34.39,34.4,34.41,34.33,34.38,34.34,34.43,34.32,34.46,34.33,34.45,34.33 | +| cushion | 56.91,56.76,56.81,56.81,56.95,56.77,56.78,56.66,56.64,56.52,56.5,56.75,56.62,56.69,56.52,56.53,56.5,56.44,56.53,56.43 | +| base | 22.45,22.44,22.47,22.42,22.49,22.47,22.42,22.45,22.47,22.35,22.46,22.37,22.42,22.42,22.41,22.4,22.35,22.4,22.37,22.41 | +| box | 22.61,22.66,22.69,22.76,22.79,22.83,22.92,22.78,22.95,22.85,23.0,22.94,23.01,22.98,23.02,22.96,23.12,22.99,23.13,23.02 | +| column | 46.29,46.33,46.4,46.47,46.44,46.48,46.46,46.4,46.6,46.47,46.59,46.51,46.55,46.55,46.58,46.56,46.59,46.52,46.64,46.52 | +| signboard | 38.1,38.11,38.05,38.13,38.12,38.2,38.19,38.17,38.16,38.2,38.16,38.15,38.18,38.09,38.09,38.11,38.12,38.11,38.14,38.09 | +| chest of drawers | 36.96,37.04,36.96,37.12,37.1,37.22,37.12,37.29,37.19,37.33,37.21,37.41,37.29,37.43,37.38,37.5,37.36,37.52,37.4,37.58 | +| counter | 31.83,31.8,31.93,31.99,31.86,31.91,31.85,31.87,31.8,31.85,31.82,31.78,31.83,31.77,31.83,31.73,31.77,31.72,31.76,31.75 | +| sand | 43.69,43.64,43.68,43.71,43.76,43.66,43.74,43.71,43.79,43.69,43.75,43.76,43.67,43.68,43.6,43.61,43.55,43.56,43.45,43.46 | +| sink | 68.62,68.64,68.63,68.54,68.55,68.47,68.42,68.52,68.4,68.49,68.39,68.45,68.44,68.4,68.39,68.41,68.32,68.38,68.32,68.35 | +| skyscraper | 48.5,48.38,48.45,48.37,48.21,48.27,48.32,48.26,48.13,48.21,48.24,48.21,48.19,48.2,48.21,48.07,48.2,48.01,48.25,47.93 | +| fireplace | 76.73,76.69,76.76,76.82,76.78,76.9,76.84,76.81,76.92,77.01,76.98,77.07,77.06,77.09,77.1,77.22,77.23,77.15,77.33,77.21 | +| refrigerator | 75.46,75.61,75.63,75.84,75.93,76.19,76.18,76.05,76.37,76.39,76.46,76.46,76.7,76.76,76.82,76.87,76.89,77.04,76.97,77.16 | +| grandstand | 53.45,53.62,53.78,53.76,53.96,54.15,54.07,54.1,54.24,54.19,54.35,54.24,54.24,54.55,54.45,54.62,54.5,54.67,54.65,54.7 | +| path | 21.74,21.69,21.78,21.75,21.79,21.8,21.84,21.8,21.81,21.8,21.76,21.86,21.74,21.77,21.74,21.77,21.8,21.82,21.84,21.9 | +| stairs | 31.99,31.93,31.92,31.81,31.91,31.81,31.78,31.79,31.77,31.79,31.77,31.83,31.84,31.85,31.82,31.88,31.8,31.89,31.8,31.92 | +| runway | 67.61,67.65,67.67,67.68,67.62,67.65,67.56,67.58,67.55,67.41,67.33,67.37,67.27,67.26,67.19,67.18,67.16,67.11,67.12,67.09 | +| case | 47.65,47.64,47.77,47.85,47.9,48.15,48.06,48.41,48.18,48.43,48.34,48.55,48.48,48.57,48.48,48.59,48.51,48.61,48.5,48.57 | +| pool table | 92.06,92.12,92.08,92.11,92.13,92.2,92.2,92.21,92.22,92.24,92.25,92.24,92.25,92.29,92.32,92.32,92.34,92.33,92.37,92.35 | +| pillow | 60.22,59.75,59.84,59.89,59.68,59.61,59.45,59.39,59.19,59.09,58.91,58.93,59.11,58.81,58.74,58.58,58.62,58.36,58.48,58.33 | +| screen door | 70.41,70.57,70.45,70.67,70.62,70.87,70.49,70.86,70.84,70.92,70.89,70.79,70.8,70.7,70.8,70.72,70.75,70.58,70.63,70.37 | +| stairway | 23.52,23.52,23.55,23.53,23.66,23.57,23.7,23.68,23.61,23.6,23.69,23.68,23.71,23.62,23.71,23.63,23.67,23.64,23.7,23.64 | +| river | 11.88,11.88,11.89,11.86,11.85,11.84,11.84,11.82,11.84,11.79,11.81,11.82,11.79,11.81,11.78,11.81,11.78,11.79,11.76,11.77 | +| bridge | 30.77,30.76,30.67,30.45,30.6,30.57,30.59,30.59,30.66,30.58,30.57,30.64,30.46,30.36,30.31,30.31,30.35,30.19,30.32,30.21 | +| bookcase | 46.39,46.49,46.41,46.35,46.28,46.3,46.29,46.28,46.37,46.29,46.29,46.11,46.03,46.03,45.96,45.85,45.88,45.77,45.74,45.64 | +| blind | 39.88,39.9,39.85,39.9,39.79,39.8,39.76,39.69,39.65,39.63,39.71,39.68,39.73,39.6,39.79,39.65,39.81,39.64,39.86,39.66 | +| coffee table | 53.9,53.91,54.0,53.93,53.9,53.89,53.88,53.86,53.93,53.77,54.0,53.81,54.04,53.79,53.97,53.81,53.88,53.7,53.83,53.61 | +| toilet | 83.75,83.81,83.72,83.75,83.73,83.73,83.78,83.77,83.73,83.8,83.78,83.86,83.89,83.84,83.9,83.91,83.94,83.95,83.96,83.97 | +| flower | 38.76,38.86,38.9,38.84,38.87,38.86,38.95,38.88,38.93,39.01,38.86,38.92,38.94,38.89,39.04,38.89,39.02,39.03,39.06,39.07 | +| book | 45.71,45.87,45.81,45.85,45.86,45.89,45.94,45.84,45.98,45.92,45.95,45.87,46.02,45.93,45.99,45.89,46.04,45.88,46.03,45.9 | +| hill | 15.39,15.41,15.45,15.37,15.4,15.44,15.41,15.51,15.37,15.48,15.32,15.44,15.31,15.34,15.28,15.27,15.26,15.28,15.23,15.27 | +| bench | 42.5,42.4,42.34,42.26,42.23,42.21,42.04,42.04,41.96,41.96,42.0,41.9,41.91,41.76,41.81,41.64,41.82,41.64,41.7,41.63 | +| countertop | 56.49,56.38,56.56,56.68,56.55,56.6,56.45,56.72,56.54,56.55,56.5,56.68,56.6,56.6,56.63,56.73,56.63,56.74,56.64,56.75 | +| stove | 72.9,72.93,72.99,73.15,73.02,73.12,73.13,73.25,73.4,73.28,73.43,73.4,73.55,73.55,73.66,73.55,73.6,73.49,73.66,73.52 | +| palm | 48.37,48.33,48.36,48.33,48.29,48.33,48.35,48.32,48.28,48.39,48.32,48.39,48.27,48.36,48.22,48.34,48.24,48.29,48.23,48.28 | +| kitchen island | 44.8,44.86,44.74,44.71,44.76,44.98,44.78,44.94,44.85,44.86,44.87,44.8,44.93,44.67,44.9,44.78,44.92,44.78,44.85,44.72 | +| computer | 60.71,60.76,60.72,60.78,60.78,60.8,60.72,60.73,60.73,60.77,60.74,60.72,60.74,60.78,60.69,60.72,60.72,60.67,60.7,60.65 | +| swivel chair | 43.87,43.91,44.02,44.11,44.15,44.1,43.86,44.01,44.45,44.23,44.74,44.4,44.68,44.38,44.79,44.44,44.86,44.42,44.86,44.45 | +| boat | 72.55,72.51,72.57,72.55,72.75,72.9,72.95,72.98,73.25,73.17,73.28,73.26,73.41,73.38,73.56,73.63,73.69,73.66,73.77,73.68 | +| bar | 24.48,24.49,24.51,24.48,24.49,24.48,24.53,24.52,24.52,24.52,24.52,24.55,24.54,24.57,24.54,24.55,24.55,24.55,24.58,24.56 | +| arcade machine | 71.16,71.4,71.56,71.52,71.91,71.38,72.26,71.93,72.54,72.56,72.71,72.45,73.0,72.91,73.51,73.65,73.66,73.83,73.73,74.12 | +| hovel | 33.07,33.06,33.2,33.3,33.14,33.3,33.3,33.18,33.38,33.22,33.24,33.22,33.35,33.35,33.16,33.18,33.03,33.12,32.8,32.96 | +| bus | 79.72,79.73,79.78,79.78,79.89,79.89,79.97,79.91,79.9,79.99,79.89,79.86,79.83,79.87,79.84,79.87,79.92,79.86,79.88,79.8 | +| towel | 63.19,63.15,63.2,63.12,63.25,63.13,63.18,63.22,63.1,63.32,63.29,63.3,63.28,63.35,63.3,63.38,63.31,63.39,63.38,63.36 | +| light | 56.58,56.65,56.72,56.71,56.74,56.79,56.89,56.87,56.82,56.91,56.88,56.92,56.96,56.94,56.93,57.01,57.03,56.99,56.98,57.02 | +| truck | 18.59,18.6,18.59,18.76,18.58,18.5,18.53,18.49,18.41,18.51,18.28,18.34,18.28,18.26,18.12,18.32,17.94,18.07,17.8,17.93 | +| tower | 8.95,8.99,8.99,8.99,8.98,9.01,9.02,8.99,9.04,9.02,8.99,9.02,9.05,8.97,9.06,9.02,9.04,9.02,9.1,9.05 | +| chandelier | 64.73,64.74,64.72,64.68,64.74,64.72,64.63,64.67,64.63,64.69,64.66,64.63,64.6,64.59,64.69,64.57,64.64,64.64,64.59,64.56 | +| awning | 24.57,24.68,24.72,24.8,24.82,24.9,24.88,25.01,24.94,25.06,25.19,25.24,25.22,25.26,25.25,25.3,25.3,25.32,25.32,25.35 | +| streetlight | 27.35,27.37,27.33,27.37,27.34,27.46,27.53,27.49,27.55,27.65,27.57,27.61,27.73,27.74,27.76,27.79,27.76,27.85,27.86,27.88 | +| booth | 47.67,47.95,47.85,47.93,47.71,47.92,47.72,47.92,47.6,47.46,47.55,47.42,47.55,47.31,47.18,47.23,47.09,47.21,47.05,47.08 | +| television receiver | 66.27,66.29,66.34,66.38,66.63,66.72,66.8,66.8,66.87,66.76,66.91,66.88,67.04,67.06,67.11,67.07,67.09,67.18,67.09,67.22 | +| airplane | 59.27,59.14,59.08,59.07,59.06,59.13,58.95,59.06,58.89,58.91,59.0,58.93,58.86,58.9,58.93,58.9,58.87,58.86,58.85,58.9 | +| dirt track | 22.02,22.21,22.29,22.28,22.73,22.62,22.83,22.8,22.69,23.17,23.35,23.25,23.72,23.59,23.81,23.72,23.83,23.9,24.03,24.11 | +| apparel | 35.18,35.17,35.26,35.39,35.55,35.45,35.73,35.79,35.91,35.87,36.21,35.96,36.18,36.06,36.3,36.24,36.58,36.33,36.57,36.34 | +| pole | 19.15,19.25,19.04,19.05,19.11,19.18,19.16,19.07,19.1,18.99,19.24,18.92,19.04,18.96,19.03,18.8,18.94,18.81,18.94,18.75 | +| land | 3.88,3.9,3.87,3.9,3.87,3.92,3.9,3.89,3.9,3.89,3.92,3.93,3.91,3.92,3.9,3.91,3.9,3.92,3.92,3.9 | +| bannister | 12.0,12.12,12.16,12.19,12.3,12.36,12.42,12.52,12.55,12.56,12.56,12.73,12.8,12.85,12.8,12.86,12.84,12.91,12.9,12.94 | +| escalator | 24.69,24.69,24.78,24.69,24.9,24.86,24.87,24.91,24.93,24.82,25.01,24.91,25.0,24.93,24.91,24.97,24.9,25.0,24.84,25.0 | +| ottoman | 42.62,42.46,42.48,42.46,42.31,42.46,42.16,42.43,42.15,42.38,42.09,42.37,41.98,42.37,42.1,42.41,41.92,42.25,41.88,42.13 | +| bottle | 34.85,34.75,34.9,34.86,34.86,34.78,34.81,34.96,34.96,35.15,35.12,35.1,35.23,35.22,35.44,35.25,35.31,35.19,35.52,35.09 | +| buffet | 42.91,43.22,43.7,44.08,44.42,44.66,44.85,44.86,45.25,45.15,45.48,45.51,45.87,45.7,45.97,45.75,45.88,45.85,46.04,45.89 | +| poster | 22.14,22.21,22.14,22.17,22.29,22.26,22.2,22.34,22.37,22.39,22.4,22.34,22.51,22.36,22.61,22.33,22.54,22.34,22.54,22.29 | +| stage | 14.84,14.86,14.72,14.87,14.66,14.7,14.73,14.61,14.69,14.49,14.41,14.27,14.33,14.21,14.24,14.16,14.26,14.2,14.27,14.18 | +| van | 38.02,38.02,38.05,38.03,38.09,38.06,38.29,38.08,38.22,38.2,38.28,38.39,38.21,38.38,38.22,38.42,38.23,38.32,38.1,38.3 | +| ship | 81.28,81.44,81.56,81.49,81.71,81.68,81.7,81.72,81.99,81.9,82.11,82.02,82.11,82.24,82.23,82.36,82.41,82.46,82.46,82.57 | +| fountain | 18.39,19.04,18.73,18.65,18.95,18.91,18.71,18.59,18.75,18.63,18.5,18.58,18.55,18.59,18.55,18.5,18.49,18.43,18.47,18.45 | +| conveyer belt | 85.24,85.24,85.02,85.18,85.16,85.06,85.11,85.12,85.24,85.3,85.4,85.34,85.4,85.09,85.38,85.24,85.35,85.15,85.53,85.17 | +| canopy | 24.59,24.67,24.79,24.86,24.83,24.89,25.05,25.07,25.14,25.18,25.29,25.4,25.35,25.62,25.52,25.78,25.6,25.77,25.79,25.89 | +| washer | 75.7,75.89,75.88,76.13,76.1,76.19,76.24,76.45,76.47,76.79,76.82,76.9,77.08,77.37,77.26,77.48,77.47,77.66,77.8,77.86 | +| plaything | 20.4,20.55,20.64,20.42,20.42,20.43,20.53,20.45,20.4,20.35,20.36,20.33,20.35,20.26,20.27,20.29,20.28,20.31,20.26,20.29 | +| swimming pool | 71.77,71.75,71.81,71.86,71.85,71.95,71.65,71.87,72.14,71.99,72.08,72.04,72.1,71.9,72.1,72.09,72.21,72.16,72.2,72.27 | +| stool | 42.53,42.74,42.78,42.73,42.87,42.74,42.83,42.73,42.68,42.66,42.74,42.68,42.65,42.59,42.56,42.48,42.39,42.31,42.31,42.25 | +| barrel | 41.06,41.54,41.52,40.84,40.48,41.15,40.19,40.09,40.08,39.8,39.19,39.54,39.42,38.74,38.67,38.55,38.63,38.6,38.58,38.38 | +| basket | 24.45,24.46,24.45,24.51,24.55,24.63,24.63,24.63,24.61,24.64,24.65,24.71,24.62,24.74,24.7,24.63,24.65,24.69,24.62,24.71 | +| waterfall | 48.56,48.67,48.63,48.67,48.65,48.67,48.66,48.79,48.78,48.71,48.88,48.73,48.88,48.73,48.85,48.85,48.89,48.89,49.04,48.98 | +| tent | 94.91,94.88,94.87,94.92,94.94,94.92,94.93,94.94,94.96,95.08,95.0,95.08,95.05,95.04,95.08,95.05,95.14,95.07,95.22,95.06 | +| bag | 16.07,16.09,16.12,16.08,16.05,16.04,15.98,15.88,15.84,15.89,15.87,15.82,15.88,15.77,15.77,15.72,15.73,15.67,15.77,15.66 | +| minibike | 63.32,63.36,63.59,63.48,63.56,63.52,63.61,63.66,63.6,63.89,63.87,63.9,63.88,63.99,64.01,64.14,64.0,64.0,64.05,64.07 | +| cradle | 84.22,84.23,84.42,84.62,84.67,84.64,84.89,84.88,84.97,85.05,85.06,85.11,85.35,85.35,85.36,85.41,85.44,85.54,85.47,85.58 | +| oven | 46.82,47.03,47.01,47.05,46.91,47.11,47.17,47.11,47.15,47.02,47.25,47.07,47.24,47.29,47.28,47.31,47.41,47.39,47.61,47.56 | +| ball | 42.21,42.31,42.39,42.41,42.47,42.26,42.45,42.46,42.51,42.52,42.49,42.5,42.64,42.73,42.85,42.77,42.94,42.78,43.03,42.88 | +| food | 57.89,58.02,58.07,58.05,58.23,58.24,58.33,58.18,58.35,58.34,58.4,58.48,58.35,58.47,58.36,58.4,58.36,58.32,58.31,58.29 | +| step | 4.86,4.92,4.97,4.83,4.98,4.87,4.79,4.81,4.9,4.76,4.77,4.75,4.67,4.59,4.55,4.37,4.43,4.27,4.41,4.23 | +| tank | 50.3,50.19,50.27,50.26,50.31,50.1,50.16,50.07,50.06,49.9,49.89,49.88,49.82,49.79,49.66,49.63,49.58,49.59,49.49,49.51 | +| trade name | 27.81,27.76,27.95,27.7,27.85,27.91,27.84,27.84,27.81,28.02,27.85,27.93,27.86,27.95,27.87,27.84,27.79,27.97,27.74,27.98 | +| microwave | 72.1,72.27,72.3,72.47,72.48,72.54,72.61,72.6,72.79,72.72,72.94,73.02,73.17,73.15,73.11,73.32,73.27,73.33,73.39,73.41 | +| pot | 29.05,29.03,29.14,29.22,29.31,29.33,29.37,29.53,29.48,29.55,29.61,29.7,29.76,29.81,29.83,29.89,29.84,29.89,29.97,29.93 | +| animal | 54.37,54.39,54.42,54.45,54.47,54.54,54.51,54.57,54.58,54.59,54.57,54.66,54.67,54.65,54.68,54.65,54.66,54.67,54.67,54.65 | +| bicycle | 55.55,55.6,55.52,55.64,55.72,55.73,55.83,55.94,56.03,55.93,56.09,56.08,56.25,56.08,56.37,56.34,56.46,56.31,56.42,56.33 | +| lake | 58.44,58.42,58.44,58.49,58.55,58.52,58.58,58.62,58.59,58.7,58.64,58.77,58.69,58.74,58.73,58.8,58.81,58.86,58.83,58.88 | +| dishwasher | 66.15,66.04,66.07,65.89,66.03,65.81,66.17,65.85,65.9,65.6,65.81,65.61,65.58,65.42,65.51,65.36,65.39,65.26,65.26,65.15 | +| screen | 66.97,66.82,66.38,66.42,66.25,65.9,65.84,65.76,65.61,65.32,65.33,65.12,65.05,65.03,64.9,64.95,64.86,65.04,65.12,65.2 | +| blanket | 18.25,18.23,18.41,18.49,18.44,18.44,18.54,18.54,18.71,18.7,18.67,18.68,18.83,18.85,18.89,18.8,18.9,18.9,18.84,18.84 | +| sculpture | 57.38,57.35,57.26,57.33,57.2,56.87,57.0,57.04,57.14,56.83,57.0,56.84,57.14,56.93,56.85,57.13,57.29,57.29,57.51,57.44 | +| hood | 57.18,57.27,57.59,57.25,57.69,57.33,57.41,57.79,57.57,57.79,57.79,57.81,57.84,57.93,57.84,57.96,57.94,57.96,58.04,58.01 | +| sconce | 41.67,41.83,41.75,41.86,41.92,42.05,41.87,42.11,42.06,42.23,42.09,42.21,42.2,42.35,42.46,42.42,42.49,42.64,42.51,42.77 | +| vase | 37.15,37.12,37.03,37.28,37.22,37.15,37.26,37.31,37.24,37.34,37.4,37.39,37.47,37.53,37.56,37.57,37.59,37.6,37.58,37.62 | +| traffic light | 33.46,33.64,33.48,33.69,33.71,33.8,33.92,33.81,33.86,34.01,33.97,34.27,34.18,34.21,34.29,34.4,34.42,34.62,34.64,34.7 | +| tray | 8.12,8.06,8.22,8.08,8.18,8.33,8.33,8.42,8.36,8.37,8.43,8.39,8.44,8.48,8.47,8.48,8.57,8.46,8.66,8.61 | +| ashcan | 40.56,40.7,40.68,40.74,40.76,40.71,40.91,40.92,41.12,40.89,41.1,41.05,41.06,41.27,41.13,41.33,41.24,41.31,41.33,41.39 | +| fan | 56.57,56.73,56.61,56.69,56.71,56.65,56.74,56.65,56.74,56.7,56.71,56.67,56.8,56.79,56.77,56.71,56.68,56.77,56.82,56.86 | +| pier | 42.82,42.43,43.32,42.97,43.55,44.4,44.63,44.7,44.71,44.8,44.85,44.92,45.27,45.62,45.28,45.21,44.92,44.87,44.51,44.01 | +| crt screen | 10.56,10.64,10.65,10.71,10.61,10.75,10.68,10.69,10.77,10.8,10.74,10.71,10.81,10.75,10.79,10.72,10.83,10.7,10.82,10.69 | +| plate | 53.79,53.87,53.91,53.92,53.98,54.08,54.03,53.85,54.11,54.02,54.16,54.22,54.23,54.35,54.4,54.42,54.47,54.43,54.55,54.53 | +| monitor | 21.54,21.4,21.33,21.35,21.06,21.01,20.86,20.98,20.74,20.79,20.62,20.48,20.4,20.32,20.23,20.15,20.06,19.94,19.85,19.7 | +| bulletin board | 37.89,38.05,37.97,38.18,38.19,38.34,38.35,38.33,38.7,38.5,38.6,38.79,38.7,38.68,38.76,38.6,38.52,38.78,38.58,38.75 | +| shower | 2.21,2.19,2.18,2.18,2.17,2.1,2.08,2.05,2.04,2.04,1.99,1.99,2.03,1.98,2.03,1.96,1.97,1.92,1.94,1.9 | +| radiator | 60.28,60.87,61.09,61.71,61.7,61.74,62.15,62.4,62.63,62.51,62.78,63.21,63.58,63.6,63.94,63.81,64.11,64.16,64.19,64.45 | +| glass | 13.77,13.72,13.74,13.67,13.74,13.67,13.77,13.73,13.74,13.74,13.78,13.68,13.69,13.64,13.73,13.67,13.66,13.65,13.61,13.53 | +| clock | 34.98,34.94,34.97,34.72,34.71,34.6,34.87,34.9,34.8,34.56,34.6,34.77,34.82,34.73,34.74,34.82,34.73,34.86,34.83,34.8 | +| flag | 34.11,34.09,33.97,33.77,33.86,33.9,33.95,33.91,33.7,33.9,33.7,33.72,33.86,33.82,33.69,33.8,33.86,33.73,33.75,33.8 | ++---------------------+-------------------------------------------------------------------------------------------------------------------------+ +2023-03-04 07:48:58,099 - mmseg - INFO - Summary: +2023-03-04 07:48:58,099 - mmseg - INFO - ++----------------------------------------------------------------------------------------------------------------------+ +| mIoU 0,1,2,3,4,5,6,7,8,9,10,11,12,13,14,15,16,17,18,19 | ++----------------------------------------------------------------------------------------------------------------------+ +| 48.78,48.82,48.84,48.85,48.88,48.9,48.91,48.93,48.95,48.95,48.96,48.97,49.0,48.99,49.01,49.0,49.01,49.01,49.02,49.01 | ++----------------------------------------------------------------------------------------------------------------------+ +2023-03-04 07:48:58,130 - mmseg - INFO - The previous best checkpoint /mnt/petrelfs/laizeqiang/mmseg-baseline/work_dirs2/ablation_segformer_mit_b2_segformer_head_unet_fc_small_multi_step_ade_pretrained_freeze_embed_160k_ade20k151_finetune_ema_t20/best_mIoU_iter_80000.pth was removed +2023-03-04 07:48:59,079 - mmseg - INFO - Now best checkpoint is saved as best_mIoU_iter_112000.pth. +2023-03-04 07:48:59,080 - mmseg - INFO - Best mIoU is 0.4901 at 112000 iter. +2023-03-04 07:48:59,080 - mmseg - INFO - Exp name: ablation_segformer_mit_b2_segformer_head_unet_fc_small_multi_step_ade_pretrained_freeze_embed_160k_ade20k151_finetune_ema_t20.py +2023-03-04 07:48:59,080 - mmseg - INFO - Iter(val) [250] mIoU: [0.4878, 0.4882, 0.4884, 0.4885, 0.4888, 0.489, 0.4891, 0.4893, 0.4895, 0.4895, 0.4896, 0.4897, 0.49, 0.4899, 0.4901, 0.49, 0.4901, 0.4901, 0.4902, 0.4901], copy_paste: 48.78,48.82,48.84,48.85,48.88,48.9,48.91,48.93,48.95,48.95,48.96,48.97,49.0,48.99,49.01,49.0,49.01,49.01,49.02,49.01 +2023-03-04 07:48:59,089 - mmseg - INFO - Swap parameters (before train) before iter [112001] +2023-03-04 07:49:09,102 - mmseg - INFO - Iter [112050/160000] lr: 3.750e-05, eta: 2:50:13, time: 4.405, data_time: 4.213, memory: 59439, decode.loss_ce: 0.1826, decode.acc_seg: 92.2903, loss: 0.1826 +2023-03-04 07:49:19,177 - mmseg - INFO - Iter [112100/160000] lr: 3.750e-05, eta: 2:50:02, time: 0.202, data_time: 0.007, memory: 59439, decode.loss_ce: 0.1871, decode.acc_seg: 92.3021, loss: 0.1871 +2023-03-04 07:49:29,044 - mmseg - INFO - Iter [112150/160000] lr: 3.750e-05, eta: 2:49:51, time: 0.197, data_time: 0.007, memory: 59439, decode.loss_ce: 0.1879, decode.acc_seg: 92.2451, loss: 0.1879 +2023-03-04 07:49:38,872 - mmseg - INFO - Iter [112200/160000] lr: 3.750e-05, eta: 2:49:40, time: 0.197, data_time: 0.007, memory: 59439, decode.loss_ce: 0.1789, decode.acc_seg: 92.6758, loss: 0.1789 +2023-03-04 07:49:48,854 - mmseg - INFO - Iter [112250/160000] lr: 3.750e-05, eta: 2:49:29, time: 0.200, data_time: 0.008, memory: 59439, decode.loss_ce: 0.1854, decode.acc_seg: 92.4390, loss: 0.1854 +2023-03-04 07:49:58,595 - mmseg - INFO - Iter [112300/160000] lr: 3.750e-05, eta: 2:49:18, time: 0.195, data_time: 0.008, memory: 59439, decode.loss_ce: 0.1925, decode.acc_seg: 92.1448, loss: 0.1925 +2023-03-04 07:50:11,029 - mmseg - INFO - Iter [112350/160000] lr: 3.750e-05, eta: 2:49:08, time: 0.249, data_time: 0.055, memory: 59439, decode.loss_ce: 0.1800, decode.acc_seg: 92.6241, loss: 0.1800 +2023-03-04 07:50:20,586 - mmseg - INFO - Iter [112400/160000] lr: 3.750e-05, eta: 2:48:57, time: 0.191, data_time: 0.007, memory: 59439, decode.loss_ce: 0.1817, decode.acc_seg: 92.5465, loss: 0.1817 +2023-03-04 07:50:30,290 - mmseg - INFO - Iter [112450/160000] lr: 3.750e-05, eta: 2:48:46, time: 0.194, data_time: 0.007, memory: 59439, decode.loss_ce: 0.1856, decode.acc_seg: 92.3186, loss: 0.1856 +2023-03-04 07:50:40,056 - mmseg - INFO - Iter [112500/160000] lr: 3.750e-05, eta: 2:48:35, time: 0.195, data_time: 0.008, memory: 59439, decode.loss_ce: 0.1819, decode.acc_seg: 92.4134, loss: 0.1819 +2023-03-04 07:50:49,776 - mmseg - INFO - Iter [112550/160000] lr: 3.750e-05, eta: 2:48:24, time: 0.194, data_time: 0.008, memory: 59439, decode.loss_ce: 0.1939, decode.acc_seg: 92.0113, loss: 0.1939 +2023-03-04 07:50:59,745 - mmseg - INFO - Iter [112600/160000] lr: 3.750e-05, eta: 2:48:13, time: 0.199, data_time: 0.008, memory: 59439, decode.loss_ce: 0.1780, decode.acc_seg: 92.8196, loss: 0.1780 +2023-03-04 07:51:09,351 - mmseg - INFO - Iter [112650/160000] lr: 3.750e-05, eta: 2:48:02, time: 0.192, data_time: 0.008, memory: 59439, decode.loss_ce: 0.1999, decode.acc_seg: 91.7761, loss: 0.1999 +2023-03-04 07:51:19,051 - mmseg - INFO - Iter [112700/160000] lr: 3.750e-05, eta: 2:47:51, time: 0.194, data_time: 0.007, memory: 59439, decode.loss_ce: 0.1889, decode.acc_seg: 92.0486, loss: 0.1889 +2023-03-04 07:51:28,726 - mmseg - INFO - Iter [112750/160000] lr: 3.750e-05, eta: 2:47:40, time: 0.193, data_time: 0.007, memory: 59439, decode.loss_ce: 0.1874, decode.acc_seg: 92.1799, loss: 0.1874 +2023-03-04 07:51:38,263 - mmseg - INFO - Iter [112800/160000] lr: 3.750e-05, eta: 2:47:29, time: 0.191, data_time: 0.008, memory: 59439, decode.loss_ce: 0.1977, decode.acc_seg: 91.9011, loss: 0.1977 +2023-03-04 07:51:47,915 - mmseg - INFO - Iter [112850/160000] lr: 3.750e-05, eta: 2:47:18, time: 0.193, data_time: 0.008, memory: 59439, decode.loss_ce: 0.1808, decode.acc_seg: 92.5350, loss: 0.1808 +2023-03-04 07:51:58,100 - mmseg - INFO - Iter [112900/160000] lr: 3.750e-05, eta: 2:47:07, time: 0.204, data_time: 0.007, memory: 59439, decode.loss_ce: 0.1960, decode.acc_seg: 91.9446, loss: 0.1960 +2023-03-04 07:52:10,216 - mmseg - INFO - Iter [112950/160000] lr: 3.750e-05, eta: 2:46:57, time: 0.242, data_time: 0.054, memory: 59439, decode.loss_ce: 0.1834, decode.acc_seg: 92.3577, loss: 0.1834 +2023-03-04 07:52:19,955 - mmseg - INFO - Exp name: ablation_segformer_mit_b2_segformer_head_unet_fc_small_multi_step_ade_pretrained_freeze_embed_160k_ade20k151_finetune_ema_t20.py +2023-03-04 07:52:19,956 - mmseg - INFO - Iter [113000/160000] lr: 3.750e-05, eta: 2:46:46, time: 0.195, data_time: 0.008, memory: 59439, decode.loss_ce: 0.1866, decode.acc_seg: 92.4987, loss: 0.1866 +2023-03-04 07:52:29,748 - mmseg - INFO - Iter [113050/160000] lr: 3.750e-05, eta: 2:46:35, time: 0.196, data_time: 0.008, memory: 59439, decode.loss_ce: 0.1898, decode.acc_seg: 92.1804, loss: 0.1898 +2023-03-04 07:52:39,461 - mmseg - INFO - Iter [113100/160000] lr: 3.750e-05, eta: 2:46:24, time: 0.194, data_time: 0.008, memory: 59439, decode.loss_ce: 0.1819, decode.acc_seg: 92.4076, loss: 0.1819 +2023-03-04 07:52:49,168 - mmseg - INFO - Iter [113150/160000] lr: 3.750e-05, eta: 2:46:13, time: 0.194, data_time: 0.008, memory: 59439, decode.loss_ce: 0.1841, decode.acc_seg: 92.4505, loss: 0.1841 +2023-03-04 07:52:58,791 - mmseg - INFO - Iter [113200/160000] lr: 3.750e-05, eta: 2:46:01, time: 0.192, data_time: 0.007, memory: 59439, decode.loss_ce: 0.1942, decode.acc_seg: 92.1855, loss: 0.1942 +2023-03-04 07:53:08,558 - mmseg - INFO - Iter [113250/160000] lr: 3.750e-05, eta: 2:45:50, time: 0.195, data_time: 0.008, memory: 59439, decode.loss_ce: 0.1857, decode.acc_seg: 92.3462, loss: 0.1857 +2023-03-04 07:53:18,258 - mmseg - INFO - Iter [113300/160000] lr: 3.750e-05, eta: 2:45:39, time: 0.194, data_time: 0.008, memory: 59439, decode.loss_ce: 0.1800, decode.acc_seg: 92.6862, loss: 0.1800 +2023-03-04 07:53:27,945 - mmseg - INFO - Iter [113350/160000] lr: 3.750e-05, eta: 2:45:28, time: 0.194, data_time: 0.008, memory: 59439, decode.loss_ce: 0.1844, decode.acc_seg: 92.3794, loss: 0.1844 +2023-03-04 07:53:37,723 - mmseg - INFO - Iter [113400/160000] lr: 3.750e-05, eta: 2:45:17, time: 0.196, data_time: 0.008, memory: 59439, decode.loss_ce: 0.1964, decode.acc_seg: 91.9881, loss: 0.1964 +2023-03-04 07:53:47,241 - mmseg - INFO - Iter [113450/160000] lr: 3.750e-05, eta: 2:45:06, time: 0.190, data_time: 0.007, memory: 59439, decode.loss_ce: 0.1915, decode.acc_seg: 92.0409, loss: 0.1915 +2023-03-04 07:53:56,849 - mmseg - INFO - Iter [113500/160000] lr: 3.750e-05, eta: 2:44:55, time: 0.192, data_time: 0.008, memory: 59439, decode.loss_ce: 0.1783, decode.acc_seg: 92.5738, loss: 0.1783 +2023-03-04 07:54:07,218 - mmseg - INFO - Iter [113550/160000] lr: 3.750e-05, eta: 2:44:44, time: 0.208, data_time: 0.007, memory: 59439, decode.loss_ce: 0.1847, decode.acc_seg: 92.5336, loss: 0.1847 +2023-03-04 07:54:19,558 - mmseg - INFO - Iter [113600/160000] lr: 3.750e-05, eta: 2:44:35, time: 0.247, data_time: 0.054, memory: 59439, decode.loss_ce: 0.1858, decode.acc_seg: 92.4050, loss: 0.1858 +2023-03-04 07:54:29,294 - mmseg - INFO - Iter [113650/160000] lr: 3.750e-05, eta: 2:44:24, time: 0.195, data_time: 0.008, memory: 59439, decode.loss_ce: 0.1796, decode.acc_seg: 92.6320, loss: 0.1796 +2023-03-04 07:54:38,861 - mmseg - INFO - Iter [113700/160000] lr: 3.750e-05, eta: 2:44:12, time: 0.191, data_time: 0.008, memory: 59439, decode.loss_ce: 0.1915, decode.acc_seg: 92.2521, loss: 0.1915 +2023-03-04 07:54:48,542 - mmseg - INFO - Iter [113750/160000] lr: 3.750e-05, eta: 2:44:01, time: 0.194, data_time: 0.008, memory: 59439, decode.loss_ce: 0.1840, decode.acc_seg: 92.3210, loss: 0.1840 +2023-03-04 07:54:58,175 - mmseg - INFO - Iter [113800/160000] lr: 3.750e-05, eta: 2:43:50, time: 0.193, data_time: 0.008, memory: 59439, decode.loss_ce: 0.1916, decode.acc_seg: 92.2188, loss: 0.1916 +2023-03-04 07:55:08,042 - mmseg - INFO - Iter [113850/160000] lr: 3.750e-05, eta: 2:43:39, time: 0.197, data_time: 0.007, memory: 59439, decode.loss_ce: 0.1875, decode.acc_seg: 92.1907, loss: 0.1875 +2023-03-04 07:55:18,135 - mmseg - INFO - Iter [113900/160000] lr: 3.750e-05, eta: 2:43:29, time: 0.202, data_time: 0.007, memory: 59439, decode.loss_ce: 0.1841, decode.acc_seg: 92.4792, loss: 0.1841 +2023-03-04 07:55:28,083 - mmseg - INFO - Iter [113950/160000] lr: 3.750e-05, eta: 2:43:18, time: 0.199, data_time: 0.008, memory: 59439, decode.loss_ce: 0.1821, decode.acc_seg: 92.5796, loss: 0.1821 +2023-03-04 07:55:37,794 - mmseg - INFO - Exp name: ablation_segformer_mit_b2_segformer_head_unet_fc_small_multi_step_ade_pretrained_freeze_embed_160k_ade20k151_finetune_ema_t20.py +2023-03-04 07:55:37,794 - mmseg - INFO - Iter [114000/160000] lr: 3.750e-05, eta: 2:43:07, time: 0.194, data_time: 0.008, memory: 59439, decode.loss_ce: 0.1958, decode.acc_seg: 92.0230, loss: 0.1958 +2023-03-04 07:55:47,342 - mmseg - INFO - Iter [114050/160000] lr: 3.750e-05, eta: 2:42:56, time: 0.191, data_time: 0.008, memory: 59439, decode.loss_ce: 0.1888, decode.acc_seg: 92.2550, loss: 0.1888 +2023-03-04 07:55:57,062 - mmseg - INFO - Iter [114100/160000] lr: 3.750e-05, eta: 2:42:45, time: 0.194, data_time: 0.007, memory: 59439, decode.loss_ce: 0.1903, decode.acc_seg: 92.1330, loss: 0.1903 +2023-03-04 07:56:06,697 - mmseg - INFO - Iter [114150/160000] lr: 3.750e-05, eta: 2:42:34, time: 0.193, data_time: 0.008, memory: 59439, decode.loss_ce: 0.1913, decode.acc_seg: 92.2218, loss: 0.1913 +2023-03-04 07:56:16,233 - mmseg - INFO - Iter [114200/160000] lr: 3.750e-05, eta: 2:42:22, time: 0.191, data_time: 0.007, memory: 59439, decode.loss_ce: 0.1879, decode.acc_seg: 92.3819, loss: 0.1879 +2023-03-04 07:56:28,488 - mmseg - INFO - Iter [114250/160000] lr: 3.750e-05, eta: 2:42:12, time: 0.245, data_time: 0.053, memory: 59439, decode.loss_ce: 0.1796, decode.acc_seg: 92.5737, loss: 0.1796 +2023-03-04 07:56:38,336 - mmseg - INFO - Iter [114300/160000] lr: 3.750e-05, eta: 2:42:01, time: 0.197, data_time: 0.007, memory: 59439, decode.loss_ce: 0.1916, decode.acc_seg: 92.3189, loss: 0.1916 +2023-03-04 07:56:48,054 - mmseg - INFO - Iter [114350/160000] lr: 3.750e-05, eta: 2:41:50, time: 0.194, data_time: 0.007, memory: 59439, decode.loss_ce: 0.1873, decode.acc_seg: 92.2731, loss: 0.1873 +2023-03-04 07:56:57,928 - mmseg - INFO - Iter [114400/160000] lr: 3.750e-05, eta: 2:41:40, time: 0.198, data_time: 0.008, memory: 59439, decode.loss_ce: 0.1811, decode.acc_seg: 92.6239, loss: 0.1811 +2023-03-04 07:57:07,862 - mmseg - INFO - Iter [114450/160000] lr: 3.750e-05, eta: 2:41:29, time: 0.199, data_time: 0.008, memory: 59439, decode.loss_ce: 0.1931, decode.acc_seg: 92.1114, loss: 0.1931 +2023-03-04 07:57:17,621 - mmseg - INFO - Iter [114500/160000] lr: 3.750e-05, eta: 2:41:18, time: 0.195, data_time: 0.007, memory: 59439, decode.loss_ce: 0.1804, decode.acc_seg: 92.5284, loss: 0.1804 +2023-03-04 07:57:27,219 - mmseg - INFO - Iter [114550/160000] lr: 3.750e-05, eta: 2:41:07, time: 0.192, data_time: 0.008, memory: 59439, decode.loss_ce: 0.1859, decode.acc_seg: 92.3174, loss: 0.1859 +2023-03-04 07:57:37,026 - mmseg - INFO - Iter [114600/160000] lr: 3.750e-05, eta: 2:40:56, time: 0.196, data_time: 0.007, memory: 59439, decode.loss_ce: 0.1859, decode.acc_seg: 92.3408, loss: 0.1859 +2023-03-04 07:57:46,939 - mmseg - INFO - Iter [114650/160000] lr: 3.750e-05, eta: 2:40:45, time: 0.198, data_time: 0.008, memory: 59439, decode.loss_ce: 0.1899, decode.acc_seg: 92.3583, loss: 0.1899 +2023-03-04 07:57:56,567 - mmseg - INFO - Iter [114700/160000] lr: 3.750e-05, eta: 2:40:34, time: 0.193, data_time: 0.008, memory: 59439, decode.loss_ce: 0.1826, decode.acc_seg: 92.4216, loss: 0.1826 +2023-03-04 07:58:06,263 - mmseg - INFO - Iter [114750/160000] lr: 3.750e-05, eta: 2:40:23, time: 0.194, data_time: 0.008, memory: 59439, decode.loss_ce: 0.1857, decode.acc_seg: 92.3640, loss: 0.1857 +2023-03-04 07:58:15,815 - mmseg - INFO - Iter [114800/160000] lr: 3.750e-05, eta: 2:40:12, time: 0.191, data_time: 0.008, memory: 59439, decode.loss_ce: 0.1907, decode.acc_seg: 92.2144, loss: 0.1907 +2023-03-04 07:58:28,239 - mmseg - INFO - Iter [114850/160000] lr: 3.750e-05, eta: 2:40:02, time: 0.248, data_time: 0.053, memory: 59439, decode.loss_ce: 0.1962, decode.acc_seg: 92.0788, loss: 0.1962 +2023-03-04 07:58:37,855 - mmseg - INFO - Iter [114900/160000] lr: 3.750e-05, eta: 2:39:51, time: 0.192, data_time: 0.008, memory: 59439, decode.loss_ce: 0.1914, decode.acc_seg: 92.2347, loss: 0.1914 +2023-03-04 07:58:47,899 - mmseg - INFO - Iter [114950/160000] lr: 3.750e-05, eta: 2:39:40, time: 0.201, data_time: 0.008, memory: 59439, decode.loss_ce: 0.1816, decode.acc_seg: 92.5791, loss: 0.1816 +2023-03-04 07:58:57,796 - mmseg - INFO - Exp name: ablation_segformer_mit_b2_segformer_head_unet_fc_small_multi_step_ade_pretrained_freeze_embed_160k_ade20k151_finetune_ema_t20.py +2023-03-04 07:58:57,796 - mmseg - INFO - Iter [115000/160000] lr: 3.750e-05, eta: 2:39:29, time: 0.198, data_time: 0.007, memory: 59439, decode.loss_ce: 0.1837, decode.acc_seg: 92.4864, loss: 0.1837 +2023-03-04 07:59:07,406 - mmseg - INFO - Iter [115050/160000] lr: 3.750e-05, eta: 2:39:18, time: 0.192, data_time: 0.007, memory: 59439, decode.loss_ce: 0.1906, decode.acc_seg: 92.2852, loss: 0.1906 +2023-03-04 07:59:17,310 - mmseg - INFO - Iter [115100/160000] lr: 3.750e-05, eta: 2:39:07, time: 0.198, data_time: 0.007, memory: 59439, decode.loss_ce: 0.1925, decode.acc_seg: 92.1484, loss: 0.1925 +2023-03-04 07:59:26,889 - mmseg - INFO - Iter [115150/160000] lr: 3.750e-05, eta: 2:38:56, time: 0.192, data_time: 0.008, memory: 59439, decode.loss_ce: 0.1817, decode.acc_seg: 92.4947, loss: 0.1817 +2023-03-04 07:59:36,557 - mmseg - INFO - Iter [115200/160000] lr: 3.750e-05, eta: 2:38:45, time: 0.193, data_time: 0.008, memory: 59439, decode.loss_ce: 0.1874, decode.acc_seg: 92.2508, loss: 0.1874 +2023-03-04 07:59:46,146 - mmseg - INFO - Iter [115250/160000] lr: 3.750e-05, eta: 2:38:34, time: 0.192, data_time: 0.007, memory: 59439, decode.loss_ce: 0.1777, decode.acc_seg: 92.4594, loss: 0.1777 +2023-03-04 07:59:55,750 - mmseg - INFO - Iter [115300/160000] lr: 3.750e-05, eta: 2:38:23, time: 0.192, data_time: 0.008, memory: 59439, decode.loss_ce: 0.1897, decode.acc_seg: 92.1765, loss: 0.1897 +2023-03-04 08:00:05,378 - mmseg - INFO - Iter [115350/160000] lr: 3.750e-05, eta: 2:38:12, time: 0.193, data_time: 0.007, memory: 59439, decode.loss_ce: 0.1826, decode.acc_seg: 92.4020, loss: 0.1826 +2023-03-04 08:00:15,558 - mmseg - INFO - Iter [115400/160000] lr: 3.750e-05, eta: 2:38:01, time: 0.204, data_time: 0.007, memory: 59439, decode.loss_ce: 0.1816, decode.acc_seg: 92.3720, loss: 0.1816 +2023-03-04 08:00:25,619 - mmseg - INFO - Iter [115450/160000] lr: 3.750e-05, eta: 2:37:50, time: 0.201, data_time: 0.008, memory: 59439, decode.loss_ce: 0.1905, decode.acc_seg: 92.1418, loss: 0.1905 +2023-03-04 08:00:37,849 - mmseg - INFO - Iter [115500/160000] lr: 3.750e-05, eta: 2:37:40, time: 0.245, data_time: 0.056, memory: 59439, decode.loss_ce: 0.1941, decode.acc_seg: 91.8969, loss: 0.1941 +2023-03-04 08:00:47,867 - mmseg - INFO - Iter [115550/160000] lr: 3.750e-05, eta: 2:37:29, time: 0.200, data_time: 0.008, memory: 59439, decode.loss_ce: 0.1895, decode.acc_seg: 92.2578, loss: 0.1895 +2023-03-04 08:00:57,581 - mmseg - INFO - Iter [115600/160000] lr: 3.750e-05, eta: 2:37:18, time: 0.194, data_time: 0.007, memory: 59439, decode.loss_ce: 0.1815, decode.acc_seg: 92.4633, loss: 0.1815 +2023-03-04 08:01:07,223 - mmseg - INFO - Iter [115650/160000] lr: 3.750e-05, eta: 2:37:07, time: 0.193, data_time: 0.007, memory: 59439, decode.loss_ce: 0.1779, decode.acc_seg: 92.7078, loss: 0.1779 +2023-03-04 08:01:17,412 - mmseg - INFO - Iter [115700/160000] lr: 3.750e-05, eta: 2:36:56, time: 0.204, data_time: 0.007, memory: 59439, decode.loss_ce: 0.1824, decode.acc_seg: 92.3000, loss: 0.1824 +2023-03-04 08:01:27,374 - mmseg - INFO - Iter [115750/160000] lr: 3.750e-05, eta: 2:36:46, time: 0.199, data_time: 0.008, memory: 59439, decode.loss_ce: 0.1825, decode.acc_seg: 92.5562, loss: 0.1825 +2023-03-04 08:01:36,978 - mmseg - INFO - Iter [115800/160000] lr: 3.750e-05, eta: 2:36:35, time: 0.192, data_time: 0.007, memory: 59439, decode.loss_ce: 0.1829, decode.acc_seg: 92.5914, loss: 0.1829 +2023-03-04 08:01:46,675 - mmseg - INFO - Iter [115850/160000] lr: 3.750e-05, eta: 2:36:24, time: 0.194, data_time: 0.008, memory: 59439, decode.loss_ce: 0.1860, decode.acc_seg: 92.4521, loss: 0.1860 +2023-03-04 08:01:56,317 - mmseg - INFO - Iter [115900/160000] lr: 3.750e-05, eta: 2:36:13, time: 0.193, data_time: 0.008, memory: 59439, decode.loss_ce: 0.1920, decode.acc_seg: 92.1866, loss: 0.1920 +2023-03-04 08:02:06,033 - mmseg - INFO - Iter [115950/160000] lr: 3.750e-05, eta: 2:36:02, time: 0.194, data_time: 0.008, memory: 59439, decode.loss_ce: 0.1836, decode.acc_seg: 92.5945, loss: 0.1836 +2023-03-04 08:02:15,650 - mmseg - INFO - Exp name: ablation_segformer_mit_b2_segformer_head_unet_fc_small_multi_step_ade_pretrained_freeze_embed_160k_ade20k151_finetune_ema_t20.py +2023-03-04 08:02:15,650 - mmseg - INFO - Iter [116000/160000] lr: 3.750e-05, eta: 2:35:51, time: 0.192, data_time: 0.008, memory: 59439, decode.loss_ce: 0.1864, decode.acc_seg: 92.4563, loss: 0.1864 +2023-03-04 08:02:25,536 - mmseg - INFO - Iter [116050/160000] lr: 3.750e-05, eta: 2:35:40, time: 0.198, data_time: 0.007, memory: 59439, decode.loss_ce: 0.1886, decode.acc_seg: 92.1643, loss: 0.1886 +2023-03-04 08:02:35,258 - mmseg - INFO - Iter [116100/160000] lr: 3.750e-05, eta: 2:35:29, time: 0.194, data_time: 0.007, memory: 59439, decode.loss_ce: 0.1879, decode.acc_seg: 92.3625, loss: 0.1879 +2023-03-04 08:02:48,155 - mmseg - INFO - Iter [116150/160000] lr: 3.750e-05, eta: 2:35:19, time: 0.258, data_time: 0.054, memory: 59439, decode.loss_ce: 0.1899, decode.acc_seg: 92.2573, loss: 0.1899 +2023-03-04 08:02:57,701 - mmseg - INFO - Iter [116200/160000] lr: 3.750e-05, eta: 2:35:08, time: 0.191, data_time: 0.008, memory: 59439, decode.loss_ce: 0.1964, decode.acc_seg: 92.0450, loss: 0.1964 +2023-03-04 08:03:07,592 - mmseg - INFO - Iter [116250/160000] lr: 3.750e-05, eta: 2:34:57, time: 0.198, data_time: 0.008, memory: 59439, decode.loss_ce: 0.1920, decode.acc_seg: 92.2106, loss: 0.1920 +2023-03-04 08:03:17,483 - mmseg - INFO - Iter [116300/160000] lr: 3.750e-05, eta: 2:34:46, time: 0.198, data_time: 0.007, memory: 59439, decode.loss_ce: 0.1841, decode.acc_seg: 92.4731, loss: 0.1841 +2023-03-04 08:03:27,233 - mmseg - INFO - Iter [116350/160000] lr: 3.750e-05, eta: 2:34:35, time: 0.195, data_time: 0.008, memory: 59439, decode.loss_ce: 0.1787, decode.acc_seg: 92.5321, loss: 0.1787 +2023-03-04 08:03:37,107 - mmseg - INFO - Iter [116400/160000] lr: 3.750e-05, eta: 2:34:24, time: 0.197, data_time: 0.007, memory: 59439, decode.loss_ce: 0.1832, decode.acc_seg: 92.4669, loss: 0.1832 +2023-03-04 08:03:46,799 - mmseg - INFO - Iter [116450/160000] lr: 3.750e-05, eta: 2:34:13, time: 0.194, data_time: 0.008, memory: 59439, decode.loss_ce: 0.1884, decode.acc_seg: 92.3376, loss: 0.1884 +2023-03-04 08:03:56,559 - mmseg - INFO - Iter [116500/160000] lr: 3.750e-05, eta: 2:34:02, time: 0.195, data_time: 0.008, memory: 59439, decode.loss_ce: 0.1901, decode.acc_seg: 92.1212, loss: 0.1901 +2023-03-04 08:04:06,116 - mmseg - INFO - Iter [116550/160000] lr: 3.750e-05, eta: 2:33:51, time: 0.191, data_time: 0.008, memory: 59439, decode.loss_ce: 0.1890, decode.acc_seg: 92.2283, loss: 0.1890 +2023-03-04 08:04:16,136 - mmseg - INFO - Iter [116600/160000] lr: 3.750e-05, eta: 2:33:40, time: 0.201, data_time: 0.008, memory: 59439, decode.loss_ce: 0.1832, decode.acc_seg: 92.4135, loss: 0.1832 +2023-03-04 08:04:25,606 - mmseg - INFO - Iter [116650/160000] lr: 3.750e-05, eta: 2:33:29, time: 0.189, data_time: 0.008, memory: 59439, decode.loss_ce: 0.1848, decode.acc_seg: 92.3032, loss: 0.1848 +2023-03-04 08:04:35,115 - mmseg - INFO - Iter [116700/160000] lr: 3.750e-05, eta: 2:33:18, time: 0.190, data_time: 0.008, memory: 59439, decode.loss_ce: 0.1952, decode.acc_seg: 92.1246, loss: 0.1952 +2023-03-04 08:04:47,207 - mmseg - INFO - Iter [116750/160000] lr: 3.750e-05, eta: 2:33:08, time: 0.242, data_time: 0.054, memory: 59439, decode.loss_ce: 0.1817, decode.acc_seg: 92.5441, loss: 0.1817 +2023-03-04 08:04:56,829 - mmseg - INFO - Iter [116800/160000] lr: 3.750e-05, eta: 2:32:57, time: 0.192, data_time: 0.007, memory: 59439, decode.loss_ce: 0.1782, decode.acc_seg: 92.6886, loss: 0.1782 +2023-03-04 08:05:06,398 - mmseg - INFO - Iter [116850/160000] lr: 3.750e-05, eta: 2:32:46, time: 0.191, data_time: 0.007, memory: 59439, decode.loss_ce: 0.1908, decode.acc_seg: 92.2000, loss: 0.1908 +2023-03-04 08:05:15,938 - mmseg - INFO - Iter [116900/160000] lr: 3.750e-05, eta: 2:32:35, time: 0.191, data_time: 0.008, memory: 59439, decode.loss_ce: 0.1817, decode.acc_seg: 92.6181, loss: 0.1817 +2023-03-04 08:05:25,970 - mmseg - INFO - Iter [116950/160000] lr: 3.750e-05, eta: 2:32:24, time: 0.201, data_time: 0.008, memory: 59439, decode.loss_ce: 0.1857, decode.acc_seg: 92.3635, loss: 0.1857 +2023-03-04 08:05:35,506 - mmseg - INFO - Exp name: ablation_segformer_mit_b2_segformer_head_unet_fc_small_multi_step_ade_pretrained_freeze_embed_160k_ade20k151_finetune_ema_t20.py +2023-03-04 08:05:35,506 - mmseg - INFO - Iter [117000/160000] lr: 3.750e-05, eta: 2:32:13, time: 0.190, data_time: 0.008, memory: 59439, decode.loss_ce: 0.1944, decode.acc_seg: 92.0090, loss: 0.1944 +2023-03-04 08:05:45,177 - mmseg - INFO - Iter [117050/160000] lr: 3.750e-05, eta: 2:32:02, time: 0.194, data_time: 0.008, memory: 59439, decode.loss_ce: 0.1913, decode.acc_seg: 92.0814, loss: 0.1913 +2023-03-04 08:05:54,882 - mmseg - INFO - Iter [117100/160000] lr: 3.750e-05, eta: 2:31:51, time: 0.194, data_time: 0.007, memory: 59439, decode.loss_ce: 0.1908, decode.acc_seg: 92.1863, loss: 0.1908 +2023-03-04 08:06:04,640 - mmseg - INFO - Iter [117150/160000] lr: 3.750e-05, eta: 2:31:41, time: 0.195, data_time: 0.008, memory: 59439, decode.loss_ce: 0.1768, decode.acc_seg: 92.5759, loss: 0.1768 +2023-03-04 08:06:14,376 - mmseg - INFO - Iter [117200/160000] lr: 3.750e-05, eta: 2:31:30, time: 0.195, data_time: 0.008, memory: 59439, decode.loss_ce: 0.1922, decode.acc_seg: 92.0959, loss: 0.1922 +2023-03-04 08:06:24,091 - mmseg - INFO - Iter [117250/160000] lr: 3.750e-05, eta: 2:31:19, time: 0.194, data_time: 0.008, memory: 59439, decode.loss_ce: 0.1950, decode.acc_seg: 91.9783, loss: 0.1950 +2023-03-04 08:06:33,761 - mmseg - INFO - Iter [117300/160000] lr: 3.750e-05, eta: 2:31:08, time: 0.193, data_time: 0.008, memory: 59439, decode.loss_ce: 0.1937, decode.acc_seg: 92.1920, loss: 0.1937 +2023-03-04 08:06:43,284 - mmseg - INFO - Iter [117350/160000] lr: 3.750e-05, eta: 2:30:57, time: 0.190, data_time: 0.007, memory: 59439, decode.loss_ce: 0.1800, decode.acc_seg: 92.5073, loss: 0.1800 +2023-03-04 08:06:55,567 - mmseg - INFO - Iter [117400/160000] lr: 3.750e-05, eta: 2:30:47, time: 0.246, data_time: 0.053, memory: 59439, decode.loss_ce: 0.1893, decode.acc_seg: 92.2808, loss: 0.1893 +2023-03-04 08:07:05,213 - mmseg - INFO - Iter [117450/160000] lr: 3.750e-05, eta: 2:30:36, time: 0.193, data_time: 0.008, memory: 59439, decode.loss_ce: 0.1794, decode.acc_seg: 92.6182, loss: 0.1794 +2023-03-04 08:07:14,799 - mmseg - INFO - Iter [117500/160000] lr: 3.750e-05, eta: 2:30:25, time: 0.192, data_time: 0.008, memory: 59439, decode.loss_ce: 0.1963, decode.acc_seg: 92.0334, loss: 0.1963 +2023-03-04 08:07:24,474 - mmseg - INFO - Iter [117550/160000] lr: 3.750e-05, eta: 2:30:14, time: 0.194, data_time: 0.007, memory: 59439, decode.loss_ce: 0.1813, decode.acc_seg: 92.5144, loss: 0.1813 +2023-03-04 08:07:34,781 - mmseg - INFO - Iter [117600/160000] lr: 3.750e-05, eta: 2:30:03, time: 0.206, data_time: 0.007, memory: 59439, decode.loss_ce: 0.1829, decode.acc_seg: 92.5520, loss: 0.1829 +2023-03-04 08:07:44,511 - mmseg - INFO - Iter [117650/160000] lr: 3.750e-05, eta: 2:29:52, time: 0.195, data_time: 0.007, memory: 59439, decode.loss_ce: 0.1874, decode.acc_seg: 92.2129, loss: 0.1874 +2023-03-04 08:07:54,068 - mmseg - INFO - Iter [117700/160000] lr: 3.750e-05, eta: 2:29:41, time: 0.191, data_time: 0.008, memory: 59439, decode.loss_ce: 0.1774, decode.acc_seg: 92.5293, loss: 0.1774 +2023-03-04 08:08:03,686 - mmseg - INFO - Iter [117750/160000] lr: 3.750e-05, eta: 2:29:30, time: 0.192, data_time: 0.008, memory: 59439, decode.loss_ce: 0.1875, decode.acc_seg: 92.2921, loss: 0.1875 +2023-03-04 08:08:13,283 - mmseg - INFO - Iter [117800/160000] lr: 3.750e-05, eta: 2:29:19, time: 0.192, data_time: 0.008, memory: 59439, decode.loss_ce: 0.1833, decode.acc_seg: 92.4711, loss: 0.1833 +2023-03-04 08:08:22,901 - mmseg - INFO - Iter [117850/160000] lr: 3.750e-05, eta: 2:29:08, time: 0.192, data_time: 0.008, memory: 59439, decode.loss_ce: 0.1887, decode.acc_seg: 92.3171, loss: 0.1887 +2023-03-04 08:08:32,854 - mmseg - INFO - Iter [117900/160000] lr: 3.750e-05, eta: 2:28:57, time: 0.199, data_time: 0.008, memory: 59439, decode.loss_ce: 0.1927, decode.acc_seg: 92.1841, loss: 0.1927 +2023-03-04 08:08:43,194 - mmseg - INFO - Iter [117950/160000] lr: 3.750e-05, eta: 2:28:47, time: 0.207, data_time: 0.007, memory: 59439, decode.loss_ce: 0.1916, decode.acc_seg: 92.1620, loss: 0.1916 +2023-03-04 08:08:55,215 - mmseg - INFO - Exp name: ablation_segformer_mit_b2_segformer_head_unet_fc_small_multi_step_ade_pretrained_freeze_embed_160k_ade20k151_finetune_ema_t20.py +2023-03-04 08:08:55,216 - mmseg - INFO - Iter [118000/160000] lr: 3.750e-05, eta: 2:28:36, time: 0.240, data_time: 0.054, memory: 59439, decode.loss_ce: 0.1833, decode.acc_seg: 92.3528, loss: 0.1833 +2023-03-04 08:09:04,916 - mmseg - INFO - Iter [118050/160000] lr: 3.750e-05, eta: 2:28:26, time: 0.194, data_time: 0.008, memory: 59439, decode.loss_ce: 0.1883, decode.acc_seg: 92.2706, loss: 0.1883 +2023-03-04 08:09:14,484 - mmseg - INFO - Iter [118100/160000] lr: 3.750e-05, eta: 2:28:15, time: 0.191, data_time: 0.008, memory: 59439, decode.loss_ce: 0.1837, decode.acc_seg: 92.2631, loss: 0.1837 +2023-03-04 08:09:24,361 - mmseg - INFO - Iter [118150/160000] lr: 3.750e-05, eta: 2:28:04, time: 0.198, data_time: 0.008, memory: 59439, decode.loss_ce: 0.1878, decode.acc_seg: 92.1818, loss: 0.1878 +2023-03-04 08:09:34,157 - mmseg - INFO - Iter [118200/160000] lr: 3.750e-05, eta: 2:27:53, time: 0.196, data_time: 0.007, memory: 59439, decode.loss_ce: 0.1868, decode.acc_seg: 92.3059, loss: 0.1868 +2023-03-04 08:09:44,183 - mmseg - INFO - Iter [118250/160000] lr: 3.750e-05, eta: 2:27:42, time: 0.201, data_time: 0.008, memory: 59439, decode.loss_ce: 0.1849, decode.acc_seg: 92.3261, loss: 0.1849 +2023-03-04 08:09:53,775 - mmseg - INFO - Iter [118300/160000] lr: 3.750e-05, eta: 2:27:31, time: 0.192, data_time: 0.008, memory: 59439, decode.loss_ce: 0.1845, decode.acc_seg: 92.3466, loss: 0.1845 +2023-03-04 08:10:03,629 - mmseg - INFO - Iter [118350/160000] lr: 3.750e-05, eta: 2:27:20, time: 0.197, data_time: 0.008, memory: 59439, decode.loss_ce: 0.1819, decode.acc_seg: 92.5599, loss: 0.1819 +2023-03-04 08:10:13,315 - mmseg - INFO - Iter [118400/160000] lr: 3.750e-05, eta: 2:27:09, time: 0.194, data_time: 0.008, memory: 59439, decode.loss_ce: 0.1894, decode.acc_seg: 92.2014, loss: 0.1894 +2023-03-04 08:10:23,350 - mmseg - INFO - Iter [118450/160000] lr: 3.750e-05, eta: 2:26:58, time: 0.201, data_time: 0.007, memory: 59439, decode.loss_ce: 0.1878, decode.acc_seg: 92.4102, loss: 0.1878 +2023-03-04 08:10:33,007 - mmseg - INFO - Iter [118500/160000] lr: 3.750e-05, eta: 2:26:47, time: 0.193, data_time: 0.007, memory: 59439, decode.loss_ce: 0.1802, decode.acc_seg: 92.5821, loss: 0.1802 +2023-03-04 08:10:42,834 - mmseg - INFO - Iter [118550/160000] lr: 3.750e-05, eta: 2:26:37, time: 0.197, data_time: 0.007, memory: 59439, decode.loss_ce: 0.1859, decode.acc_seg: 92.3128, loss: 0.1859 +2023-03-04 08:10:52,952 - mmseg - INFO - Iter [118600/160000] lr: 3.750e-05, eta: 2:26:26, time: 0.202, data_time: 0.008, memory: 59439, decode.loss_ce: 0.1923, decode.acc_seg: 92.0367, loss: 0.1923 +2023-03-04 08:11:04,983 - mmseg - INFO - Iter [118650/160000] lr: 3.750e-05, eta: 2:26:16, time: 0.241, data_time: 0.056, memory: 59439, decode.loss_ce: 0.1873, decode.acc_seg: 92.2623, loss: 0.1873 +2023-03-04 08:11:14,864 - mmseg - INFO - Iter [118700/160000] lr: 3.750e-05, eta: 2:26:05, time: 0.198, data_time: 0.008, memory: 59439, decode.loss_ce: 0.1799, decode.acc_seg: 92.5221, loss: 0.1799 +2023-03-04 08:11:24,565 - mmseg - INFO - Iter [118750/160000] lr: 3.750e-05, eta: 2:25:54, time: 0.194, data_time: 0.007, memory: 59439, decode.loss_ce: 0.1853, decode.acc_seg: 92.2512, loss: 0.1853 +2023-03-04 08:11:34,725 - mmseg - INFO - Iter [118800/160000] lr: 3.750e-05, eta: 2:25:43, time: 0.203, data_time: 0.008, memory: 59439, decode.loss_ce: 0.1871, decode.acc_seg: 92.3307, loss: 0.1871 +2023-03-04 08:11:44,943 - mmseg - INFO - Iter [118850/160000] lr: 3.750e-05, eta: 2:25:32, time: 0.205, data_time: 0.008, memory: 59439, decode.loss_ce: 0.1886, decode.acc_seg: 92.2556, loss: 0.1886 +2023-03-04 08:11:54,552 - mmseg - INFO - Iter [118900/160000] lr: 3.750e-05, eta: 2:25:21, time: 0.192, data_time: 0.008, memory: 59439, decode.loss_ce: 0.1838, decode.acc_seg: 92.3237, loss: 0.1838 +2023-03-04 08:12:04,248 - mmseg - INFO - Iter [118950/160000] lr: 3.750e-05, eta: 2:25:10, time: 0.194, data_time: 0.008, memory: 59439, decode.loss_ce: 0.1853, decode.acc_seg: 92.4336, loss: 0.1853 +2023-03-04 08:12:14,068 - mmseg - INFO - Exp name: ablation_segformer_mit_b2_segformer_head_unet_fc_small_multi_step_ade_pretrained_freeze_embed_160k_ade20k151_finetune_ema_t20.py +2023-03-04 08:12:14,068 - mmseg - INFO - Iter [119000/160000] lr: 3.750e-05, eta: 2:25:00, time: 0.196, data_time: 0.008, memory: 59439, decode.loss_ce: 0.1927, decode.acc_seg: 92.1944, loss: 0.1927 +2023-03-04 08:12:23,633 - mmseg - INFO - Iter [119050/160000] lr: 3.750e-05, eta: 2:24:49, time: 0.191, data_time: 0.008, memory: 59439, decode.loss_ce: 0.1840, decode.acc_seg: 92.3230, loss: 0.1840 +2023-03-04 08:12:33,254 - mmseg - INFO - Iter [119100/160000] lr: 3.750e-05, eta: 2:24:38, time: 0.192, data_time: 0.007, memory: 59439, decode.loss_ce: 0.1832, decode.acc_seg: 92.4574, loss: 0.1832 +2023-03-04 08:12:42,897 - mmseg - INFO - Iter [119150/160000] lr: 3.750e-05, eta: 2:24:27, time: 0.193, data_time: 0.008, memory: 59439, decode.loss_ce: 0.1984, decode.acc_seg: 91.9832, loss: 0.1984 +2023-03-04 08:12:52,408 - mmseg - INFO - Iter [119200/160000] lr: 3.750e-05, eta: 2:24:16, time: 0.190, data_time: 0.008, memory: 59439, decode.loss_ce: 0.1780, decode.acc_seg: 92.6957, loss: 0.1780 +2023-03-04 08:13:02,098 - mmseg - INFO - Iter [119250/160000] lr: 3.750e-05, eta: 2:24:05, time: 0.194, data_time: 0.008, memory: 59439, decode.loss_ce: 0.1922, decode.acc_seg: 92.1567, loss: 0.1922 +2023-03-04 08:13:14,370 - mmseg - INFO - Iter [119300/160000] lr: 3.750e-05, eta: 2:23:55, time: 0.245, data_time: 0.055, memory: 59439, decode.loss_ce: 0.1931, decode.acc_seg: 92.2200, loss: 0.1931 +2023-03-04 08:13:24,221 - mmseg - INFO - Iter [119350/160000] lr: 3.750e-05, eta: 2:23:44, time: 0.197, data_time: 0.008, memory: 59439, decode.loss_ce: 0.1864, decode.acc_seg: 92.3033, loss: 0.1864 +2023-03-04 08:13:33,876 - mmseg - INFO - Iter [119400/160000] lr: 3.750e-05, eta: 2:23:33, time: 0.193, data_time: 0.008, memory: 59439, decode.loss_ce: 0.1945, decode.acc_seg: 92.0908, loss: 0.1945 +2023-03-04 08:13:43,491 - mmseg - INFO - Iter [119450/160000] lr: 3.750e-05, eta: 2:23:22, time: 0.192, data_time: 0.008, memory: 59439, decode.loss_ce: 0.1822, decode.acc_seg: 92.4644, loss: 0.1822 +2023-03-04 08:13:53,167 - mmseg - INFO - Iter [119500/160000] lr: 3.750e-05, eta: 2:23:11, time: 0.194, data_time: 0.008, memory: 59439, decode.loss_ce: 0.1902, decode.acc_seg: 92.1753, loss: 0.1902 +2023-03-04 08:14:02,713 - mmseg - INFO - Iter [119550/160000] lr: 3.750e-05, eta: 2:23:00, time: 0.191, data_time: 0.008, memory: 59439, decode.loss_ce: 0.1854, decode.acc_seg: 92.3961, loss: 0.1854 +2023-03-04 08:14:12,595 - mmseg - INFO - Iter [119600/160000] lr: 3.750e-05, eta: 2:22:49, time: 0.198, data_time: 0.007, memory: 59439, decode.loss_ce: 0.1787, decode.acc_seg: 92.5888, loss: 0.1787 +2023-03-04 08:14:22,209 - mmseg - INFO - Iter [119650/160000] lr: 3.750e-05, eta: 2:22:38, time: 0.192, data_time: 0.008, memory: 59439, decode.loss_ce: 0.1906, decode.acc_seg: 92.1948, loss: 0.1906 +2023-03-04 08:14:32,100 - mmseg - INFO - Iter [119700/160000] lr: 3.750e-05, eta: 2:22:27, time: 0.198, data_time: 0.007, memory: 59439, decode.loss_ce: 0.1986, decode.acc_seg: 91.7643, loss: 0.1986 +2023-03-04 08:14:41,954 - mmseg - INFO - Iter [119750/160000] lr: 3.750e-05, eta: 2:22:17, time: 0.197, data_time: 0.007, memory: 59439, decode.loss_ce: 0.1897, decode.acc_seg: 92.2914, loss: 0.1897 +2023-03-04 08:14:51,569 - mmseg - INFO - Iter [119800/160000] lr: 3.750e-05, eta: 2:22:06, time: 0.192, data_time: 0.007, memory: 59439, decode.loss_ce: 0.1920, decode.acc_seg: 92.0933, loss: 0.1920 +2023-03-04 08:15:01,311 - mmseg - INFO - Iter [119850/160000] lr: 3.750e-05, eta: 2:21:55, time: 0.195, data_time: 0.008, memory: 59439, decode.loss_ce: 0.1858, decode.acc_seg: 92.2540, loss: 0.1858 +2023-03-04 08:15:13,384 - mmseg - INFO - Iter [119900/160000] lr: 3.750e-05, eta: 2:21:45, time: 0.241, data_time: 0.055, memory: 59439, decode.loss_ce: 0.1792, decode.acc_seg: 92.5889, loss: 0.1792 +2023-03-04 08:15:23,282 - mmseg - INFO - Iter [119950/160000] lr: 3.750e-05, eta: 2:21:34, time: 0.198, data_time: 0.007, memory: 59439, decode.loss_ce: 0.1842, decode.acc_seg: 92.4043, loss: 0.1842 +2023-03-04 08:15:32,901 - mmseg - INFO - Exp name: ablation_segformer_mit_b2_segformer_head_unet_fc_small_multi_step_ade_pretrained_freeze_embed_160k_ade20k151_finetune_ema_t20.py +2023-03-04 08:15:32,901 - mmseg - INFO - Iter [120000/160000] lr: 3.750e-05, eta: 2:21:23, time: 0.192, data_time: 0.008, memory: 59439, decode.loss_ce: 0.1873, decode.acc_seg: 92.2913, loss: 0.1873 +2023-03-04 08:15:42,831 - mmseg - INFO - Iter [120050/160000] lr: 3.750e-05, eta: 2:21:12, time: 0.199, data_time: 0.008, memory: 59439, decode.loss_ce: 0.1890, decode.acc_seg: 92.2267, loss: 0.1890 +2023-03-04 08:15:52,733 - mmseg - INFO - Iter [120100/160000] lr: 3.750e-05, eta: 2:21:01, time: 0.198, data_time: 0.007, memory: 59439, decode.loss_ce: 0.1823, decode.acc_seg: 92.5511, loss: 0.1823 +2023-03-04 08:16:02,436 - mmseg - INFO - Iter [120150/160000] lr: 3.750e-05, eta: 2:20:50, time: 0.194, data_time: 0.007, memory: 59439, decode.loss_ce: 0.1853, decode.acc_seg: 92.3794, loss: 0.1853 +2023-03-04 08:16:12,168 - mmseg - INFO - Iter [120200/160000] lr: 3.750e-05, eta: 2:20:39, time: 0.194, data_time: 0.008, memory: 59439, decode.loss_ce: 0.1836, decode.acc_seg: 92.5008, loss: 0.1836 +2023-03-04 08:16:21,987 - mmseg - INFO - Iter [120250/160000] lr: 3.750e-05, eta: 2:20:29, time: 0.197, data_time: 0.007, memory: 59439, decode.loss_ce: 0.1824, decode.acc_seg: 92.4570, loss: 0.1824 +2023-03-04 08:16:31,487 - mmseg - INFO - Iter [120300/160000] lr: 3.750e-05, eta: 2:20:18, time: 0.190, data_time: 0.008, memory: 59439, decode.loss_ce: 0.1903, decode.acc_seg: 92.2340, loss: 0.1903 +2023-03-04 08:16:41,361 - mmseg - INFO - Iter [120350/160000] lr: 3.750e-05, eta: 2:20:07, time: 0.197, data_time: 0.007, memory: 59439, decode.loss_ce: 0.1803, decode.acc_seg: 92.5907, loss: 0.1803 +2023-03-04 08:16:51,062 - mmseg - INFO - Iter [120400/160000] lr: 3.750e-05, eta: 2:19:56, time: 0.194, data_time: 0.008, memory: 59439, decode.loss_ce: 0.1845, decode.acc_seg: 92.4093, loss: 0.1845 +2023-03-04 08:17:00,669 - mmseg - INFO - Iter [120450/160000] lr: 3.750e-05, eta: 2:19:45, time: 0.192, data_time: 0.008, memory: 59439, decode.loss_ce: 0.1972, decode.acc_seg: 91.8550, loss: 0.1972 +2023-03-04 08:17:10,312 - mmseg - INFO - Iter [120500/160000] lr: 3.750e-05, eta: 2:19:34, time: 0.193, data_time: 0.008, memory: 59439, decode.loss_ce: 0.1936, decode.acc_seg: 91.9398, loss: 0.1936 +2023-03-04 08:17:22,536 - mmseg - INFO - Iter [120550/160000] lr: 3.750e-05, eta: 2:19:24, time: 0.244, data_time: 0.054, memory: 59439, decode.loss_ce: 0.1825, decode.acc_seg: 92.5081, loss: 0.1825 +2023-03-04 08:17:32,206 - mmseg - INFO - Iter [120600/160000] lr: 3.750e-05, eta: 2:19:13, time: 0.193, data_time: 0.008, memory: 59439, decode.loss_ce: 0.1873, decode.acc_seg: 92.2503, loss: 0.1873 +2023-03-04 08:17:41,918 - mmseg - INFO - Iter [120650/160000] lr: 3.750e-05, eta: 2:19:02, time: 0.194, data_time: 0.007, memory: 59439, decode.loss_ce: 0.1854, decode.acc_seg: 92.2773, loss: 0.1854 +2023-03-04 08:17:51,585 - mmseg - INFO - Iter [120700/160000] lr: 3.750e-05, eta: 2:18:51, time: 0.193, data_time: 0.007, memory: 59439, decode.loss_ce: 0.1849, decode.acc_seg: 92.3776, loss: 0.1849 +2023-03-04 08:18:01,355 - mmseg - INFO - Iter [120750/160000] lr: 3.750e-05, eta: 2:18:40, time: 0.195, data_time: 0.008, memory: 59439, decode.loss_ce: 0.1920, decode.acc_seg: 92.1193, loss: 0.1920 +2023-03-04 08:18:11,447 - mmseg - INFO - Iter [120800/160000] lr: 3.750e-05, eta: 2:18:30, time: 0.202, data_time: 0.007, memory: 59439, decode.loss_ce: 0.1802, decode.acc_seg: 92.5962, loss: 0.1802 +2023-03-04 08:18:21,035 - mmseg - INFO - Iter [120850/160000] lr: 3.750e-05, eta: 2:18:19, time: 0.192, data_time: 0.008, memory: 59439, decode.loss_ce: 0.1825, decode.acc_seg: 92.4751, loss: 0.1825 +2023-03-04 08:18:30,660 - mmseg - INFO - Iter [120900/160000] lr: 3.750e-05, eta: 2:18:08, time: 0.193, data_time: 0.008, memory: 59439, decode.loss_ce: 0.1863, decode.acc_seg: 92.2489, loss: 0.1863 +2023-03-04 08:18:40,409 - mmseg - INFO - Iter [120950/160000] lr: 3.750e-05, eta: 2:17:57, time: 0.195, data_time: 0.008, memory: 59439, decode.loss_ce: 0.1872, decode.acc_seg: 92.2872, loss: 0.1872 +2023-03-04 08:18:50,223 - mmseg - INFO - Exp name: ablation_segformer_mit_b2_segformer_head_unet_fc_small_multi_step_ade_pretrained_freeze_embed_160k_ade20k151_finetune_ema_t20.py +2023-03-04 08:18:50,224 - mmseg - INFO - Iter [121000/160000] lr: 3.750e-05, eta: 2:17:46, time: 0.196, data_time: 0.008, memory: 59439, decode.loss_ce: 0.1948, decode.acc_seg: 91.8998, loss: 0.1948 +2023-03-04 08:18:59,927 - mmseg - INFO - Iter [121050/160000] lr: 3.750e-05, eta: 2:17:35, time: 0.194, data_time: 0.008, memory: 59439, decode.loss_ce: 0.1910, decode.acc_seg: 92.2194, loss: 0.1910 +2023-03-04 08:19:09,629 - mmseg - INFO - Iter [121100/160000] lr: 3.750e-05, eta: 2:17:24, time: 0.194, data_time: 0.008, memory: 59439, decode.loss_ce: 0.1912, decode.acc_seg: 92.2240, loss: 0.1912 +2023-03-04 08:19:19,253 - mmseg - INFO - Iter [121150/160000] lr: 3.750e-05, eta: 2:17:13, time: 0.192, data_time: 0.008, memory: 59439, decode.loss_ce: 0.1851, decode.acc_seg: 92.3916, loss: 0.1851 +2023-03-04 08:19:31,846 - mmseg - INFO - Iter [121200/160000] lr: 3.750e-05, eta: 2:17:03, time: 0.252, data_time: 0.054, memory: 59439, decode.loss_ce: 0.1782, decode.acc_seg: 92.6998, loss: 0.1782 +2023-03-04 08:19:41,735 - mmseg - INFO - Iter [121250/160000] lr: 3.750e-05, eta: 2:16:53, time: 0.198, data_time: 0.007, memory: 59439, decode.loss_ce: 0.1807, decode.acc_seg: 92.7667, loss: 0.1807 +2023-03-04 08:19:51,522 - mmseg - INFO - Iter [121300/160000] lr: 3.750e-05, eta: 2:16:42, time: 0.196, data_time: 0.008, memory: 59439, decode.loss_ce: 0.1768, decode.acc_seg: 92.7314, loss: 0.1768 +2023-03-04 08:20:01,134 - mmseg - INFO - Iter [121350/160000] lr: 3.750e-05, eta: 2:16:31, time: 0.192, data_time: 0.008, memory: 59439, decode.loss_ce: 0.1911, decode.acc_seg: 92.1025, loss: 0.1911 +2023-03-04 08:20:10,750 - mmseg - INFO - Iter [121400/160000] lr: 3.750e-05, eta: 2:16:20, time: 0.192, data_time: 0.007, memory: 59439, decode.loss_ce: 0.1948, decode.acc_seg: 92.0571, loss: 0.1948 +2023-03-04 08:20:20,244 - mmseg - INFO - Iter [121450/160000] lr: 3.750e-05, eta: 2:16:09, time: 0.190, data_time: 0.008, memory: 59439, decode.loss_ce: 0.1731, decode.acc_seg: 92.9124, loss: 0.1731 +2023-03-04 08:20:29,925 - mmseg - INFO - Iter [121500/160000] lr: 3.750e-05, eta: 2:15:58, time: 0.194, data_time: 0.008, memory: 59439, decode.loss_ce: 0.1858, decode.acc_seg: 92.2711, loss: 0.1858 +2023-03-04 08:20:39,696 - mmseg - INFO - Iter [121550/160000] lr: 3.750e-05, eta: 2:15:47, time: 0.195, data_time: 0.007, memory: 59439, decode.loss_ce: 0.1895, decode.acc_seg: 92.2378, loss: 0.1895 +2023-03-04 08:20:49,465 - mmseg - INFO - Iter [121600/160000] lr: 3.750e-05, eta: 2:15:36, time: 0.195, data_time: 0.008, memory: 59439, decode.loss_ce: 0.1884, decode.acc_seg: 92.1574, loss: 0.1884 +2023-03-04 08:20:59,284 - mmseg - INFO - Iter [121650/160000] lr: 3.750e-05, eta: 2:15:26, time: 0.197, data_time: 0.008, memory: 59439, decode.loss_ce: 0.1834, decode.acc_seg: 92.2610, loss: 0.1834 +2023-03-04 08:21:09,243 - mmseg - INFO - Iter [121700/160000] lr: 3.750e-05, eta: 2:15:15, time: 0.199, data_time: 0.007, memory: 59439, decode.loss_ce: 0.1879, decode.acc_seg: 92.2051, loss: 0.1879 +2023-03-04 08:21:19,012 - mmseg - INFO - Iter [121750/160000] lr: 3.750e-05, eta: 2:15:04, time: 0.196, data_time: 0.008, memory: 59439, decode.loss_ce: 0.1845, decode.acc_seg: 92.3887, loss: 0.1845 +2023-03-04 08:21:31,500 - mmseg - INFO - Iter [121800/160000] lr: 3.750e-05, eta: 2:14:54, time: 0.249, data_time: 0.056, memory: 59439, decode.loss_ce: 0.1798, decode.acc_seg: 92.5705, loss: 0.1798 +2023-03-04 08:21:41,207 - mmseg - INFO - Iter [121850/160000] lr: 3.750e-05, eta: 2:14:43, time: 0.194, data_time: 0.008, memory: 59439, decode.loss_ce: 0.1738, decode.acc_seg: 92.7568, loss: 0.1738 +2023-03-04 08:21:51,409 - mmseg - INFO - Iter [121900/160000] lr: 3.750e-05, eta: 2:14:32, time: 0.204, data_time: 0.007, memory: 59439, decode.loss_ce: 0.1845, decode.acc_seg: 92.3867, loss: 0.1845 +2023-03-04 08:22:01,183 - mmseg - INFO - Iter [121950/160000] lr: 3.750e-05, eta: 2:14:21, time: 0.195, data_time: 0.008, memory: 59439, decode.loss_ce: 0.1860, decode.acc_seg: 92.2808, loss: 0.1860 +2023-03-04 08:22:10,752 - mmseg - INFO - Exp name: ablation_segformer_mit_b2_segformer_head_unet_fc_small_multi_step_ade_pretrained_freeze_embed_160k_ade20k151_finetune_ema_t20.py +2023-03-04 08:22:10,753 - mmseg - INFO - Iter [122000/160000] lr: 3.750e-05, eta: 2:14:11, time: 0.191, data_time: 0.008, memory: 59439, decode.loss_ce: 0.1877, decode.acc_seg: 92.2638, loss: 0.1877 +2023-03-04 08:22:20,708 - mmseg - INFO - Iter [122050/160000] lr: 3.750e-05, eta: 2:14:00, time: 0.199, data_time: 0.008, memory: 59439, decode.loss_ce: 0.1817, decode.acc_seg: 92.6219, loss: 0.1817 +2023-03-04 08:22:30,543 - mmseg - INFO - Iter [122100/160000] lr: 3.750e-05, eta: 2:13:49, time: 0.196, data_time: 0.007, memory: 59439, decode.loss_ce: 0.1907, decode.acc_seg: 92.3273, loss: 0.1907 +2023-03-04 08:22:40,304 - mmseg - INFO - Iter [122150/160000] lr: 3.750e-05, eta: 2:13:38, time: 0.195, data_time: 0.008, memory: 59439, decode.loss_ce: 0.1983, decode.acc_seg: 92.0606, loss: 0.1983 +2023-03-04 08:22:49,937 - mmseg - INFO - Iter [122200/160000] lr: 3.750e-05, eta: 2:13:27, time: 0.193, data_time: 0.007, memory: 59439, decode.loss_ce: 0.1873, decode.acc_seg: 92.3586, loss: 0.1873 +2023-03-04 08:22:59,444 - mmseg - INFO - Iter [122250/160000] lr: 3.750e-05, eta: 2:13:16, time: 0.190, data_time: 0.008, memory: 59439, decode.loss_ce: 0.1843, decode.acc_seg: 92.4634, loss: 0.1843 +2023-03-04 08:23:09,090 - mmseg - INFO - Iter [122300/160000] lr: 3.750e-05, eta: 2:13:05, time: 0.193, data_time: 0.007, memory: 59439, decode.loss_ce: 0.1852, decode.acc_seg: 92.3510, loss: 0.1852 +2023-03-04 08:23:18,634 - mmseg - INFO - Iter [122350/160000] lr: 3.750e-05, eta: 2:12:54, time: 0.191, data_time: 0.007, memory: 59439, decode.loss_ce: 0.1932, decode.acc_seg: 92.1131, loss: 0.1932 +2023-03-04 08:23:28,263 - mmseg - INFO - Iter [122400/160000] lr: 3.750e-05, eta: 2:12:44, time: 0.193, data_time: 0.007, memory: 59439, decode.loss_ce: 0.1890, decode.acc_seg: 92.1758, loss: 0.1890 +2023-03-04 08:23:40,418 - mmseg - INFO - Iter [122450/160000] lr: 3.750e-05, eta: 2:12:33, time: 0.243, data_time: 0.054, memory: 59439, decode.loss_ce: 0.1884, decode.acc_seg: 92.2120, loss: 0.1884 +2023-03-04 08:23:50,008 - mmseg - INFO - Iter [122500/160000] lr: 3.750e-05, eta: 2:12:23, time: 0.192, data_time: 0.008, memory: 59439, decode.loss_ce: 0.1870, decode.acc_seg: 92.2784, loss: 0.1870 +2023-03-04 08:24:00,067 - mmseg - INFO - Iter [122550/160000] lr: 3.750e-05, eta: 2:12:12, time: 0.201, data_time: 0.007, memory: 59439, decode.loss_ce: 0.1777, decode.acc_seg: 92.7576, loss: 0.1777 +2023-03-04 08:24:09,687 - mmseg - INFO - Iter [122600/160000] lr: 3.750e-05, eta: 2:12:01, time: 0.192, data_time: 0.008, memory: 59439, decode.loss_ce: 0.1780, decode.acc_seg: 92.7043, loss: 0.1780 +2023-03-04 08:24:19,291 - mmseg - INFO - Iter [122650/160000] lr: 3.750e-05, eta: 2:11:50, time: 0.192, data_time: 0.007, memory: 59439, decode.loss_ce: 0.1914, decode.acc_seg: 92.2517, loss: 0.1914 +2023-03-04 08:24:29,336 - mmseg - INFO - Iter [122700/160000] lr: 3.750e-05, eta: 2:11:39, time: 0.201, data_time: 0.007, memory: 59439, decode.loss_ce: 0.1862, decode.acc_seg: 92.3522, loss: 0.1862 +2023-03-04 08:24:38,922 - mmseg - INFO - Iter [122750/160000] lr: 3.750e-05, eta: 2:11:28, time: 0.192, data_time: 0.008, memory: 59439, decode.loss_ce: 0.1818, decode.acc_seg: 92.4171, loss: 0.1818 +2023-03-04 08:24:48,666 - mmseg - INFO - Iter [122800/160000] lr: 3.750e-05, eta: 2:11:18, time: 0.195, data_time: 0.008, memory: 59439, decode.loss_ce: 0.1842, decode.acc_seg: 92.3553, loss: 0.1842 +2023-03-04 08:24:58,595 - mmseg - INFO - Iter [122850/160000] lr: 3.750e-05, eta: 2:11:07, time: 0.199, data_time: 0.008, memory: 59439, decode.loss_ce: 0.1817, decode.acc_seg: 92.3834, loss: 0.1817 +2023-03-04 08:25:08,296 - mmseg - INFO - Iter [122900/160000] lr: 3.750e-05, eta: 2:10:56, time: 0.194, data_time: 0.008, memory: 59439, decode.loss_ce: 0.1933, decode.acc_seg: 92.1717, loss: 0.1933 +2023-03-04 08:25:17,949 - mmseg - INFO - Iter [122950/160000] lr: 3.750e-05, eta: 2:10:45, time: 0.193, data_time: 0.008, memory: 59439, decode.loss_ce: 0.1890, decode.acc_seg: 92.2258, loss: 0.1890 +2023-03-04 08:25:27,592 - mmseg - INFO - Exp name: ablation_segformer_mit_b2_segformer_head_unet_fc_small_multi_step_ade_pretrained_freeze_embed_160k_ade20k151_finetune_ema_t20.py +2023-03-04 08:25:27,592 - mmseg - INFO - Iter [123000/160000] lr: 3.750e-05, eta: 2:10:34, time: 0.193, data_time: 0.008, memory: 59439, decode.loss_ce: 0.1903, decode.acc_seg: 92.2388, loss: 0.1903 +2023-03-04 08:25:39,896 - mmseg - INFO - Iter [123050/160000] lr: 3.750e-05, eta: 2:10:24, time: 0.246, data_time: 0.058, memory: 59439, decode.loss_ce: 0.1882, decode.acc_seg: 92.1954, loss: 0.1882 +2023-03-04 08:25:49,889 - mmseg - INFO - Iter [123100/160000] lr: 3.750e-05, eta: 2:10:13, time: 0.200, data_time: 0.008, memory: 59439, decode.loss_ce: 0.1903, decode.acc_seg: 92.1568, loss: 0.1903 +2023-03-04 08:25:59,540 - mmseg - INFO - Iter [123150/160000] lr: 3.750e-05, eta: 2:10:02, time: 0.193, data_time: 0.008, memory: 59439, decode.loss_ce: 0.1847, decode.acc_seg: 92.4527, loss: 0.1847 +2023-03-04 08:26:09,502 - mmseg - INFO - Iter [123200/160000] lr: 3.750e-05, eta: 2:09:52, time: 0.199, data_time: 0.007, memory: 59439, decode.loss_ce: 0.1916, decode.acc_seg: 92.2092, loss: 0.1916 +2023-03-04 08:26:19,184 - mmseg - INFO - Iter [123250/160000] lr: 3.750e-05, eta: 2:09:41, time: 0.194, data_time: 0.007, memory: 59439, decode.loss_ce: 0.1905, decode.acc_seg: 92.0769, loss: 0.1905 +2023-03-04 08:26:28,828 - mmseg - INFO - Iter [123300/160000] lr: 3.750e-05, eta: 2:09:30, time: 0.193, data_time: 0.007, memory: 59439, decode.loss_ce: 0.1893, decode.acc_seg: 92.2249, loss: 0.1893 +2023-03-04 08:26:38,407 - mmseg - INFO - Iter [123350/160000] lr: 3.750e-05, eta: 2:09:19, time: 0.192, data_time: 0.008, memory: 59439, decode.loss_ce: 0.1804, decode.acc_seg: 92.4791, loss: 0.1804 +2023-03-04 08:26:48,013 - mmseg - INFO - Iter [123400/160000] lr: 3.750e-05, eta: 2:09:08, time: 0.192, data_time: 0.008, memory: 59439, decode.loss_ce: 0.1865, decode.acc_seg: 92.2536, loss: 0.1865 +2023-03-04 08:26:57,597 - mmseg - INFO - Iter [123450/160000] lr: 3.750e-05, eta: 2:08:57, time: 0.192, data_time: 0.008, memory: 59439, decode.loss_ce: 0.1908, decode.acc_seg: 92.3491, loss: 0.1908 +2023-03-04 08:27:07,158 - mmseg - INFO - Iter [123500/160000] lr: 3.750e-05, eta: 2:08:46, time: 0.191, data_time: 0.008, memory: 59439, decode.loss_ce: 0.1901, decode.acc_seg: 92.0705, loss: 0.1901 +2023-03-04 08:27:16,943 - mmseg - INFO - Iter [123550/160000] lr: 3.750e-05, eta: 2:08:36, time: 0.196, data_time: 0.008, memory: 59439, decode.loss_ce: 0.1807, decode.acc_seg: 92.5053, loss: 0.1807 +2023-03-04 08:27:26,577 - mmseg - INFO - Iter [123600/160000] lr: 3.750e-05, eta: 2:08:25, time: 0.193, data_time: 0.008, memory: 59439, decode.loss_ce: 0.1878, decode.acc_seg: 92.3310, loss: 0.1878 +2023-03-04 08:27:36,408 - mmseg - INFO - Iter [123650/160000] lr: 3.750e-05, eta: 2:08:14, time: 0.197, data_time: 0.007, memory: 59439, decode.loss_ce: 0.1790, decode.acc_seg: 92.7543, loss: 0.1790 +2023-03-04 08:27:48,857 - mmseg - INFO - Iter [123700/160000] lr: 3.750e-05, eta: 2:08:04, time: 0.249, data_time: 0.054, memory: 59439, decode.loss_ce: 0.1810, decode.acc_seg: 92.5627, loss: 0.1810 +2023-03-04 08:27:58,787 - mmseg - INFO - Iter [123750/160000] lr: 3.750e-05, eta: 2:07:53, time: 0.199, data_time: 0.007, memory: 59439, decode.loss_ce: 0.1871, decode.acc_seg: 92.4007, loss: 0.1871 +2023-03-04 08:28:08,311 - mmseg - INFO - Iter [123800/160000] lr: 3.750e-05, eta: 2:07:42, time: 0.190, data_time: 0.007, memory: 59439, decode.loss_ce: 0.1883, decode.acc_seg: 92.3195, loss: 0.1883 +2023-03-04 08:28:17,880 - mmseg - INFO - Iter [123850/160000] lr: 3.750e-05, eta: 2:07:31, time: 0.191, data_time: 0.007, memory: 59439, decode.loss_ce: 0.1843, decode.acc_seg: 92.2922, loss: 0.1843 +2023-03-04 08:28:27,370 - mmseg - INFO - Iter [123900/160000] lr: 3.750e-05, eta: 2:07:20, time: 0.190, data_time: 0.007, memory: 59439, decode.loss_ce: 0.1849, decode.acc_seg: 92.3466, loss: 0.1849 +2023-03-04 08:28:36,961 - mmseg - INFO - Iter [123950/160000] lr: 3.750e-05, eta: 2:07:10, time: 0.192, data_time: 0.008, memory: 59439, decode.loss_ce: 0.1894, decode.acc_seg: 92.3013, loss: 0.1894 +2023-03-04 08:28:46,654 - mmseg - INFO - Exp name: ablation_segformer_mit_b2_segformer_head_unet_fc_small_multi_step_ade_pretrained_freeze_embed_160k_ade20k151_finetune_ema_t20.py +2023-03-04 08:28:46,654 - mmseg - INFO - Iter [124000/160000] lr: 3.750e-05, eta: 2:06:59, time: 0.194, data_time: 0.008, memory: 59439, decode.loss_ce: 0.1839, decode.acc_seg: 92.4785, loss: 0.1839 +2023-03-04 08:28:56,412 - mmseg - INFO - Iter [124050/160000] lr: 3.750e-05, eta: 2:06:48, time: 0.195, data_time: 0.008, memory: 59439, decode.loss_ce: 0.1858, decode.acc_seg: 92.4458, loss: 0.1858 +2023-03-04 08:29:05,938 - mmseg - INFO - Iter [124100/160000] lr: 3.750e-05, eta: 2:06:37, time: 0.191, data_time: 0.008, memory: 59439, decode.loss_ce: 0.1822, decode.acc_seg: 92.5337, loss: 0.1822 +2023-03-04 08:29:15,574 - mmseg - INFO - Iter [124150/160000] lr: 3.750e-05, eta: 2:06:26, time: 0.193, data_time: 0.007, memory: 59439, decode.loss_ce: 0.1906, decode.acc_seg: 92.2451, loss: 0.1906 +2023-03-04 08:29:25,257 - mmseg - INFO - Iter [124200/160000] lr: 3.750e-05, eta: 2:06:15, time: 0.194, data_time: 0.008, memory: 59439, decode.loss_ce: 0.1888, decode.acc_seg: 92.2470, loss: 0.1888 +2023-03-04 08:29:34,852 - mmseg - INFO - Iter [124250/160000] lr: 3.750e-05, eta: 2:06:04, time: 0.192, data_time: 0.008, memory: 59439, decode.loss_ce: 0.1846, decode.acc_seg: 92.2368, loss: 0.1846 +2023-03-04 08:29:44,585 - mmseg - INFO - Iter [124300/160000] lr: 3.750e-05, eta: 2:05:54, time: 0.195, data_time: 0.007, memory: 59439, decode.loss_ce: 0.1920, decode.acc_seg: 92.2897, loss: 0.1920 +2023-03-04 08:29:56,748 - mmseg - INFO - Iter [124350/160000] lr: 3.750e-05, eta: 2:05:43, time: 0.243, data_time: 0.057, memory: 59439, decode.loss_ce: 0.1889, decode.acc_seg: 92.4208, loss: 0.1889 +2023-03-04 08:30:06,399 - mmseg - INFO - Iter [124400/160000] lr: 3.750e-05, eta: 2:05:33, time: 0.193, data_time: 0.008, memory: 59439, decode.loss_ce: 0.1847, decode.acc_seg: 92.3692, loss: 0.1847 +2023-03-04 08:30:16,203 - mmseg - INFO - Iter [124450/160000] lr: 3.750e-05, eta: 2:05:22, time: 0.196, data_time: 0.007, memory: 59439, decode.loss_ce: 0.1896, decode.acc_seg: 92.2215, loss: 0.1896 +2023-03-04 08:30:26,282 - mmseg - INFO - Iter [124500/160000] lr: 3.750e-05, eta: 2:05:11, time: 0.202, data_time: 0.007, memory: 59439, decode.loss_ce: 0.1857, decode.acc_seg: 92.3961, loss: 0.1857 +2023-03-04 08:30:35,815 - mmseg - INFO - Iter [124550/160000] lr: 3.750e-05, eta: 2:05:00, time: 0.191, data_time: 0.008, memory: 59439, decode.loss_ce: 0.1840, decode.acc_seg: 92.4014, loss: 0.1840 +2023-03-04 08:30:45,596 - mmseg - INFO - Iter [124600/160000] lr: 3.750e-05, eta: 2:04:49, time: 0.195, data_time: 0.007, memory: 59439, decode.loss_ce: 0.1849, decode.acc_seg: 92.4274, loss: 0.1849 +2023-03-04 08:30:55,323 - mmseg - INFO - Iter [124650/160000] lr: 3.750e-05, eta: 2:04:39, time: 0.195, data_time: 0.008, memory: 59439, decode.loss_ce: 0.1916, decode.acc_seg: 92.2355, loss: 0.1916 +2023-03-04 08:31:04,834 - mmseg - INFO - Iter [124700/160000] lr: 3.750e-05, eta: 2:04:28, time: 0.190, data_time: 0.008, memory: 59439, decode.loss_ce: 0.1809, decode.acc_seg: 92.4567, loss: 0.1809 +2023-03-04 08:31:14,538 - mmseg - INFO - Iter [124750/160000] lr: 3.750e-05, eta: 2:04:17, time: 0.194, data_time: 0.007, memory: 59439, decode.loss_ce: 0.1839, decode.acc_seg: 92.6067, loss: 0.1839 +2023-03-04 08:31:24,226 - mmseg - INFO - Iter [124800/160000] lr: 3.750e-05, eta: 2:04:06, time: 0.194, data_time: 0.008, memory: 59439, decode.loss_ce: 0.1821, decode.acc_seg: 92.3889, loss: 0.1821 +2023-03-04 08:31:33,810 - mmseg - INFO - Iter [124850/160000] lr: 3.750e-05, eta: 2:03:55, time: 0.192, data_time: 0.007, memory: 59439, decode.loss_ce: 0.1929, decode.acc_seg: 92.0280, loss: 0.1929 +2023-03-04 08:31:44,171 - mmseg - INFO - Iter [124900/160000] lr: 3.750e-05, eta: 2:03:45, time: 0.207, data_time: 0.007, memory: 59439, decode.loss_ce: 0.1918, decode.acc_seg: 92.1588, loss: 0.1918 +2023-03-04 08:31:56,835 - mmseg - INFO - Iter [124950/160000] lr: 3.750e-05, eta: 2:03:35, time: 0.253, data_time: 0.055, memory: 59439, decode.loss_ce: 0.1815, decode.acc_seg: 92.5811, loss: 0.1815 +2023-03-04 08:32:06,778 - mmseg - INFO - Exp name: ablation_segformer_mit_b2_segformer_head_unet_fc_small_multi_step_ade_pretrained_freeze_embed_160k_ade20k151_finetune_ema_t20.py +2023-03-04 08:32:06,778 - mmseg - INFO - Iter [125000/160000] lr: 3.750e-05, eta: 2:03:24, time: 0.199, data_time: 0.007, memory: 59439, decode.loss_ce: 0.1876, decode.acc_seg: 92.2171, loss: 0.1876 +2023-03-04 08:32:16,402 - mmseg - INFO - Iter [125050/160000] lr: 3.750e-05, eta: 2:03:13, time: 0.192, data_time: 0.007, memory: 59439, decode.loss_ce: 0.1869, decode.acc_seg: 92.3337, loss: 0.1869 +2023-03-04 08:32:26,158 - mmseg - INFO - Iter [125100/160000] lr: 3.750e-05, eta: 2:03:02, time: 0.195, data_time: 0.008, memory: 59439, decode.loss_ce: 0.1854, decode.acc_seg: 92.4147, loss: 0.1854 +2023-03-04 08:32:35,901 - mmseg - INFO - Iter [125150/160000] lr: 3.750e-05, eta: 2:02:51, time: 0.195, data_time: 0.008, memory: 59439, decode.loss_ce: 0.1774, decode.acc_seg: 92.7585, loss: 0.1774 +2023-03-04 08:32:45,893 - mmseg - INFO - Iter [125200/160000] lr: 3.750e-05, eta: 2:02:41, time: 0.200, data_time: 0.008, memory: 59439, decode.loss_ce: 0.1849, decode.acc_seg: 92.3186, loss: 0.1849 +2023-03-04 08:32:55,731 - mmseg - INFO - Iter [125250/160000] lr: 3.750e-05, eta: 2:02:30, time: 0.197, data_time: 0.008, memory: 59439, decode.loss_ce: 0.1893, decode.acc_seg: 92.1609, loss: 0.1893 +2023-03-04 08:33:05,547 - mmseg - INFO - Iter [125300/160000] lr: 3.750e-05, eta: 2:02:19, time: 0.196, data_time: 0.008, memory: 59439, decode.loss_ce: 0.1797, decode.acc_seg: 92.5287, loss: 0.1797 +2023-03-04 08:33:15,526 - mmseg - INFO - Iter [125350/160000] lr: 3.750e-05, eta: 2:02:08, time: 0.200, data_time: 0.008, memory: 59439, decode.loss_ce: 0.1868, decode.acc_seg: 92.4137, loss: 0.1868 +2023-03-04 08:33:25,050 - mmseg - INFO - Iter [125400/160000] lr: 3.750e-05, eta: 2:01:57, time: 0.190, data_time: 0.008, memory: 59439, decode.loss_ce: 0.1819, decode.acc_seg: 92.6507, loss: 0.1819 +2023-03-04 08:33:34,849 - mmseg - INFO - Iter [125450/160000] lr: 3.750e-05, eta: 2:01:47, time: 0.196, data_time: 0.008, memory: 59439, decode.loss_ce: 0.1921, decode.acc_seg: 92.0706, loss: 0.1921 +2023-03-04 08:33:44,647 - mmseg - INFO - Iter [125500/160000] lr: 3.750e-05, eta: 2:01:36, time: 0.196, data_time: 0.007, memory: 59439, decode.loss_ce: 0.1866, decode.acc_seg: 92.3168, loss: 0.1866 +2023-03-04 08:33:54,652 - mmseg - INFO - Iter [125550/160000] lr: 3.750e-05, eta: 2:01:25, time: 0.200, data_time: 0.008, memory: 59439, decode.loss_ce: 0.1906, decode.acc_seg: 92.1965, loss: 0.1906 +2023-03-04 08:34:06,872 - mmseg - INFO - Iter [125600/160000] lr: 3.750e-05, eta: 2:01:15, time: 0.245, data_time: 0.054, memory: 59439, decode.loss_ce: 0.1919, decode.acc_seg: 92.0103, loss: 0.1919 +2023-03-04 08:34:16,773 - mmseg - INFO - Iter [125650/160000] lr: 3.750e-05, eta: 2:01:04, time: 0.198, data_time: 0.007, memory: 59439, decode.loss_ce: 0.1937, decode.acc_seg: 92.1998, loss: 0.1937 +2023-03-04 08:34:26,631 - mmseg - INFO - Iter [125700/160000] lr: 3.750e-05, eta: 2:00:53, time: 0.197, data_time: 0.008, memory: 59439, decode.loss_ce: 0.1867, decode.acc_seg: 92.3058, loss: 0.1867 +2023-03-04 08:34:36,296 - mmseg - INFO - Iter [125750/160000] lr: 3.750e-05, eta: 2:00:43, time: 0.193, data_time: 0.008, memory: 59439, decode.loss_ce: 0.1860, decode.acc_seg: 92.2849, loss: 0.1860 +2023-03-04 08:34:46,167 - mmseg - INFO - Iter [125800/160000] lr: 3.750e-05, eta: 2:00:32, time: 0.197, data_time: 0.008, memory: 59439, decode.loss_ce: 0.1819, decode.acc_seg: 92.4521, loss: 0.1819 +2023-03-04 08:34:55,951 - mmseg - INFO - Iter [125850/160000] lr: 3.750e-05, eta: 2:00:21, time: 0.196, data_time: 0.008, memory: 59439, decode.loss_ce: 0.1815, decode.acc_seg: 92.6314, loss: 0.1815 +2023-03-04 08:35:05,925 - mmseg - INFO - Iter [125900/160000] lr: 3.750e-05, eta: 2:00:10, time: 0.199, data_time: 0.007, memory: 59439, decode.loss_ce: 0.1898, decode.acc_seg: 92.2499, loss: 0.1898 +2023-03-04 08:35:15,668 - mmseg - INFO - Iter [125950/160000] lr: 3.750e-05, eta: 2:00:00, time: 0.195, data_time: 0.008, memory: 59439, decode.loss_ce: 0.1871, decode.acc_seg: 92.1547, loss: 0.1871 +2023-03-04 08:35:25,356 - mmseg - INFO - Exp name: ablation_segformer_mit_b2_segformer_head_unet_fc_small_multi_step_ade_pretrained_freeze_embed_160k_ade20k151_finetune_ema_t20.py +2023-03-04 08:35:25,356 - mmseg - INFO - Iter [126000/160000] lr: 3.750e-05, eta: 1:59:49, time: 0.194, data_time: 0.008, memory: 59439, decode.loss_ce: 0.1877, decode.acc_seg: 92.2833, loss: 0.1877 +2023-03-04 08:35:34,972 - mmseg - INFO - Iter [126050/160000] lr: 3.750e-05, eta: 1:59:38, time: 0.192, data_time: 0.007, memory: 59439, decode.loss_ce: 0.1891, decode.acc_seg: 92.2597, loss: 0.1891 +2023-03-04 08:35:44,558 - mmseg - INFO - Iter [126100/160000] lr: 3.750e-05, eta: 1:59:27, time: 0.192, data_time: 0.008, memory: 59439, decode.loss_ce: 0.1904, decode.acc_seg: 92.2285, loss: 0.1904 +2023-03-04 08:35:54,199 - mmseg - INFO - Iter [126150/160000] lr: 3.750e-05, eta: 1:59:16, time: 0.193, data_time: 0.008, memory: 59439, decode.loss_ce: 0.1924, decode.acc_seg: 92.1186, loss: 0.1924 +2023-03-04 08:36:03,810 - mmseg - INFO - Iter [126200/160000] lr: 3.750e-05, eta: 1:59:05, time: 0.192, data_time: 0.008, memory: 59439, decode.loss_ce: 0.1854, decode.acc_seg: 92.4200, loss: 0.1854 +2023-03-04 08:36:16,003 - mmseg - INFO - Iter [126250/160000] lr: 3.750e-05, eta: 1:58:55, time: 0.244, data_time: 0.054, memory: 59439, decode.loss_ce: 0.1872, decode.acc_seg: 92.3279, loss: 0.1872 +2023-03-04 08:36:25,936 - mmseg - INFO - Iter [126300/160000] lr: 3.750e-05, eta: 1:58:45, time: 0.199, data_time: 0.007, memory: 59439, decode.loss_ce: 0.1794, decode.acc_seg: 92.5197, loss: 0.1794 +2023-03-04 08:36:35,709 - mmseg - INFO - Iter [126350/160000] lr: 3.750e-05, eta: 1:58:34, time: 0.195, data_time: 0.007, memory: 59439, decode.loss_ce: 0.1824, decode.acc_seg: 92.5188, loss: 0.1824 +2023-03-04 08:36:45,321 - mmseg - INFO - Iter [126400/160000] lr: 3.750e-05, eta: 1:58:23, time: 0.192, data_time: 0.007, memory: 59439, decode.loss_ce: 0.1777, decode.acc_seg: 92.5726, loss: 0.1777 +2023-03-04 08:36:55,264 - mmseg - INFO - Iter [126450/160000] lr: 3.750e-05, eta: 1:58:12, time: 0.199, data_time: 0.008, memory: 59439, decode.loss_ce: 0.1865, decode.acc_seg: 92.3955, loss: 0.1865 +2023-03-04 08:37:05,385 - mmseg - INFO - Iter [126500/160000] lr: 3.750e-05, eta: 1:58:02, time: 0.203, data_time: 0.008, memory: 59439, decode.loss_ce: 0.1917, decode.acc_seg: 92.1856, loss: 0.1917 +2023-03-04 08:37:15,011 - mmseg - INFO - Iter [126550/160000] lr: 3.750e-05, eta: 1:57:51, time: 0.193, data_time: 0.008, memory: 59439, decode.loss_ce: 0.1823, decode.acc_seg: 92.3945, loss: 0.1823 +2023-03-04 08:37:24,553 - mmseg - INFO - Iter [126600/160000] lr: 3.750e-05, eta: 1:57:40, time: 0.191, data_time: 0.008, memory: 59439, decode.loss_ce: 0.1827, decode.acc_seg: 92.4535, loss: 0.1827 +2023-03-04 08:37:34,522 - mmseg - INFO - Iter [126650/160000] lr: 3.750e-05, eta: 1:57:29, time: 0.199, data_time: 0.007, memory: 59439, decode.loss_ce: 0.1859, decode.acc_seg: 92.3466, loss: 0.1859 +2023-03-04 08:37:44,717 - mmseg - INFO - Iter [126700/160000] lr: 3.750e-05, eta: 1:57:18, time: 0.204, data_time: 0.007, memory: 59439, decode.loss_ce: 0.1908, decode.acc_seg: 92.1650, loss: 0.1908 +2023-03-04 08:37:54,495 - mmseg - INFO - Iter [126750/160000] lr: 3.750e-05, eta: 1:57:08, time: 0.196, data_time: 0.007, memory: 59439, decode.loss_ce: 0.1918, decode.acc_seg: 92.2170, loss: 0.1918 +2023-03-04 08:38:04,536 - mmseg - INFO - Iter [126800/160000] lr: 3.750e-05, eta: 1:56:57, time: 0.201, data_time: 0.008, memory: 59439, decode.loss_ce: 0.1843, decode.acc_seg: 92.3532, loss: 0.1843 +2023-03-04 08:38:16,739 - mmseg - INFO - Iter [126850/160000] lr: 3.750e-05, eta: 1:56:47, time: 0.244, data_time: 0.056, memory: 59439, decode.loss_ce: 0.1930, decode.acc_seg: 91.9912, loss: 0.1930 +2023-03-04 08:38:26,298 - mmseg - INFO - Iter [126900/160000] lr: 3.750e-05, eta: 1:56:36, time: 0.191, data_time: 0.007, memory: 59439, decode.loss_ce: 0.1859, decode.acc_seg: 92.2744, loss: 0.1859 +2023-03-04 08:38:35,903 - mmseg - INFO - Iter [126950/160000] lr: 3.750e-05, eta: 1:56:25, time: 0.192, data_time: 0.008, memory: 59439, decode.loss_ce: 0.1926, decode.acc_seg: 92.1590, loss: 0.1926 +2023-03-04 08:38:45,470 - mmseg - INFO - Exp name: ablation_segformer_mit_b2_segformer_head_unet_fc_small_multi_step_ade_pretrained_freeze_embed_160k_ade20k151_finetune_ema_t20.py +2023-03-04 08:38:45,470 - mmseg - INFO - Iter [127000/160000] lr: 3.750e-05, eta: 1:56:14, time: 0.191, data_time: 0.007, memory: 59439, decode.loss_ce: 0.1917, decode.acc_seg: 92.2578, loss: 0.1917 +2023-03-04 08:38:55,067 - mmseg - INFO - Iter [127050/160000] lr: 3.750e-05, eta: 1:56:04, time: 0.192, data_time: 0.008, memory: 59439, decode.loss_ce: 0.1830, decode.acc_seg: 92.4334, loss: 0.1830 +2023-03-04 08:39:04,885 - mmseg - INFO - Iter [127100/160000] lr: 3.750e-05, eta: 1:55:53, time: 0.196, data_time: 0.007, memory: 59439, decode.loss_ce: 0.1789, decode.acc_seg: 92.4361, loss: 0.1789 +2023-03-04 08:39:14,402 - mmseg - INFO - Iter [127150/160000] lr: 3.750e-05, eta: 1:55:42, time: 0.190, data_time: 0.008, memory: 59439, decode.loss_ce: 0.1892, decode.acc_seg: 92.3863, loss: 0.1892 +2023-03-04 08:39:23,927 - mmseg - INFO - Iter [127200/160000] lr: 3.750e-05, eta: 1:55:31, time: 0.190, data_time: 0.008, memory: 59439, decode.loss_ce: 0.1874, decode.acc_seg: 92.3801, loss: 0.1874 +2023-03-04 08:39:33,497 - mmseg - INFO - Iter [127250/160000] lr: 3.750e-05, eta: 1:55:20, time: 0.191, data_time: 0.007, memory: 59439, decode.loss_ce: 0.1862, decode.acc_seg: 92.3881, loss: 0.1862 +2023-03-04 08:39:43,375 - mmseg - INFO - Iter [127300/160000] lr: 3.750e-05, eta: 1:55:10, time: 0.198, data_time: 0.007, memory: 59439, decode.loss_ce: 0.1817, decode.acc_seg: 92.4578, loss: 0.1817 +2023-03-04 08:39:53,417 - mmseg - INFO - Iter [127350/160000] lr: 3.750e-05, eta: 1:54:59, time: 0.201, data_time: 0.007, memory: 59439, decode.loss_ce: 0.1838, decode.acc_seg: 92.5523, loss: 0.1838 +2023-03-04 08:40:02,953 - mmseg - INFO - Iter [127400/160000] lr: 3.750e-05, eta: 1:54:48, time: 0.191, data_time: 0.008, memory: 59439, decode.loss_ce: 0.1836, decode.acc_seg: 92.3517, loss: 0.1836 +2023-03-04 08:40:12,755 - mmseg - INFO - Iter [127450/160000] lr: 3.750e-05, eta: 1:54:37, time: 0.196, data_time: 0.008, memory: 59439, decode.loss_ce: 0.1898, decode.acc_seg: 92.1478, loss: 0.1898 +2023-03-04 08:40:25,076 - mmseg - INFO - Iter [127500/160000] lr: 3.750e-05, eta: 1:54:27, time: 0.246, data_time: 0.056, memory: 59439, decode.loss_ce: 0.1831, decode.acc_seg: 92.4816, loss: 0.1831 +2023-03-04 08:40:34,908 - mmseg - INFO - Iter [127550/160000] lr: 3.750e-05, eta: 1:54:16, time: 0.197, data_time: 0.007, memory: 59439, decode.loss_ce: 0.1811, decode.acc_seg: 92.3880, loss: 0.1811 +2023-03-04 08:40:44,566 - mmseg - INFO - Iter [127600/160000] lr: 3.750e-05, eta: 1:54:06, time: 0.193, data_time: 0.008, memory: 59439, decode.loss_ce: 0.1862, decode.acc_seg: 92.2441, loss: 0.1862 +2023-03-04 08:40:54,328 - mmseg - INFO - Iter [127650/160000] lr: 3.750e-05, eta: 1:53:55, time: 0.196, data_time: 0.008, memory: 59439, decode.loss_ce: 0.1798, decode.acc_seg: 92.6774, loss: 0.1798 +2023-03-04 08:41:03,994 - mmseg - INFO - Iter [127700/160000] lr: 3.750e-05, eta: 1:53:44, time: 0.193, data_time: 0.007, memory: 59439, decode.loss_ce: 0.1846, decode.acc_seg: 92.4995, loss: 0.1846 +2023-03-04 08:41:13,667 - mmseg - INFO - Iter [127750/160000] lr: 3.750e-05, eta: 1:53:33, time: 0.194, data_time: 0.008, memory: 59439, decode.loss_ce: 0.1814, decode.acc_seg: 92.5284, loss: 0.1814 +2023-03-04 08:41:23,402 - mmseg - INFO - Iter [127800/160000] lr: 3.750e-05, eta: 1:53:22, time: 0.194, data_time: 0.007, memory: 59439, decode.loss_ce: 0.1814, decode.acc_seg: 92.4692, loss: 0.1814 +2023-03-04 08:41:33,178 - mmseg - INFO - Iter [127850/160000] lr: 3.750e-05, eta: 1:53:12, time: 0.196, data_time: 0.008, memory: 59439, decode.loss_ce: 0.1887, decode.acc_seg: 92.2258, loss: 0.1887 +2023-03-04 08:41:42,860 - mmseg - INFO - Iter [127900/160000] lr: 3.750e-05, eta: 1:53:01, time: 0.194, data_time: 0.008, memory: 59439, decode.loss_ce: 0.1990, decode.acc_seg: 91.9235, loss: 0.1990 +2023-03-04 08:41:52,511 - mmseg - INFO - Iter [127950/160000] lr: 3.750e-05, eta: 1:52:50, time: 0.193, data_time: 0.008, memory: 59439, decode.loss_ce: 0.1947, decode.acc_seg: 92.0656, loss: 0.1947 +2023-03-04 08:42:02,529 - mmseg - INFO - Swap parameters (after train) after iter [128000] +2023-03-04 08:42:02,543 - mmseg - INFO - Saving checkpoint at 128000 iterations +2023-03-04 08:42:03,872 - mmseg - INFO - Exp name: ablation_segformer_mit_b2_segformer_head_unet_fc_small_multi_step_ade_pretrained_freeze_embed_160k_ade20k151_finetune_ema_t20.py +2023-03-04 08:42:03,872 - mmseg - INFO - Iter [128000/160000] lr: 3.750e-05, eta: 1:52:40, time: 0.227, data_time: 0.007, memory: 59439, decode.loss_ce: 0.1860, decode.acc_seg: 92.4042, loss: 0.1860 +2023-03-04 08:45:35,038 - mmseg - INFO - per class results: +2023-03-04 08:45:35,051 - mmseg - INFO - ++---------------------+-------------------------------------------------------------------------------------------------------------------------+ +| Class | IoU 0,1,2,3,4,5,6,7,8,9,10,11,12,13,14,15,16,17,18,19 | ++---------------------+-------------------------------------------------------------------------------------------------------------------------+ +| background | nan,nan,nan,nan,nan,nan,nan,nan,nan,nan,nan,nan,nan,nan,nan,nan,nan,nan,nan,nan | +| wall | 77.53,77.54,77.55,77.56,77.57,77.58,77.59,77.6,77.61,77.62,77.62,77.62,77.62,77.62,77.63,77.63,77.63,77.62,77.64,77.63 | +| building | 81.63,81.63,81.65,81.65,81.65,81.64,81.65,81.66,81.67,81.67,81.67,81.68,81.67,81.69,81.68,81.7,81.68,81.7,81.69,81.7 | +| sky | 94.4,94.4,94.4,94.41,94.41,94.41,94.41,94.42,94.42,94.42,94.42,94.42,94.43,94.42,94.43,94.42,94.43,94.42,94.43,94.43 | +| floor | 81.81,81.82,81.84,81.86,81.86,81.88,81.89,81.9,81.92,81.92,81.92,81.93,81.95,81.96,81.96,81.96,81.97,81.97,81.98,81.96 | +| tree | 74.24,74.25,74.27,74.28,74.3,74.3,74.31,74.33,74.33,74.34,74.34,74.34,74.35,74.34,74.36,74.36,74.37,74.36,74.36,74.36 | +| ceiling | 85.31,85.31,85.33,85.34,85.35,85.36,85.36,85.38,85.4,85.41,85.39,85.4,85.41,85.42,85.44,85.43,85.44,85.44,85.46,85.45 | +| road | 82.29,82.28,82.31,82.31,82.32,82.3,82.33,82.33,82.35,82.37,82.33,82.36,82.31,82.37,82.3,82.37,82.28,82.37,82.31,82.39 | +| bed | 88.0,88.03,88.03,88.05,88.07,88.07,88.07,88.08,88.08,88.14,88.14,88.13,88.13,88.14,88.12,88.15,88.11,88.15,88.13,88.16 | +| windowpane | 60.84,60.89,60.85,60.89,60.9,60.91,60.87,60.91,60.92,60.94,60.94,60.93,60.93,60.92,60.93,60.89,60.88,60.88,60.86,60.86 | +| grass | 67.09,67.13,67.14,67.15,67.18,67.19,67.19,67.19,67.2,67.23,67.23,67.24,67.25,67.25,67.25,67.25,67.25,67.24,67.25,67.23 | +| cabinet | 61.78,61.88,61.95,62.05,62.06,62.17,62.1,62.21,62.2,62.31,62.34,62.3,62.34,62.35,62.35,62.33,62.33,62.32,62.35,62.32 | +| sidewalk | 64.37,64.37,64.39,64.41,64.44,64.45,64.49,64.53,64.54,64.65,64.6,64.7,64.61,64.68,64.58,64.66,64.56,64.63,64.52,64.6 | +| person | 79.93,79.95,79.97,79.97,79.97,80.0,80.0,80.0,80.01,80.02,80.02,80.03,80.01,80.04,80.02,80.04,80.02,80.04,80.02,80.03 | +| earth | 35.72,35.69,35.69,35.62,35.6,35.56,35.53,35.47,35.46,35.36,35.31,35.25,35.27,35.21,35.27,35.22,35.26,35.24,35.33,35.34 | +| door | 45.98,46.02,45.99,45.98,45.96,45.98,45.99,45.94,45.98,45.94,45.92,45.95,45.9,45.92,45.83,45.94,45.82,45.95,45.86,45.98 | +| table | 61.41,61.43,61.45,61.5,61.52,61.56,61.58,61.65,61.63,61.65,61.66,61.65,61.72,61.69,61.71,61.68,61.72,61.72,61.73,61.73 | +| mountain | 57.01,56.99,57.0,57.05,57.06,57.12,57.17,57.18,57.19,57.22,57.25,57.29,57.3,57.39,57.35,57.44,57.4,57.54,57.47,57.57 | +| plant | 49.91,49.87,49.86,49.86,49.85,49.87,49.86,49.83,49.83,49.77,49.81,49.75,49.76,49.78,49.77,49.72,49.74,49.7,49.73,49.69 | +| curtain | 74.71,74.76,74.72,74.86,74.91,75.01,75.01,75.0,75.12,75.15,75.16,75.15,75.19,75.2,75.24,75.23,75.26,75.27,75.28,75.31 | +| chair | 56.71,56.71,56.75,56.71,56.8,56.8,56.75,56.85,56.79,56.83,56.81,56.86,56.85,56.89,56.88,56.89,56.89,56.9,56.93,56.9 | +| car | 82.09,82.07,82.1,82.12,82.13,82.11,82.14,82.16,82.13,82.19,82.15,82.18,82.19,82.22,82.18,82.22,82.23,82.23,82.26,82.24 | +| water | 57.38,57.45,57.48,57.48,57.5,57.53,57.55,57.57,57.58,57.6,57.59,57.61,57.64,57.63,57.66,57.66,57.66,57.67,57.69,57.68 | +| painting | 71.25,71.26,71.26,71.3,71.27,71.35,71.32,71.35,71.38,71.4,71.42,71.39,71.42,71.34,71.37,71.37,71.4,71.38,71.42,71.39 | +| sofa | 65.33,65.39,65.52,65.55,65.47,65.63,65.66,65.72,65.7,65.68,65.62,65.57,65.5,65.52,65.52,65.47,65.49,65.49,65.49,65.49 | +| shelf | 44.17,44.2,44.31,44.36,44.35,44.42,44.48,44.46,44.58,44.5,44.62,44.56,44.65,44.55,44.64,44.58,44.67,44.62,44.71,44.6 | +| house | 41.73,41.79,41.78,41.91,41.89,41.81,41.85,41.89,41.87,41.89,41.86,42.09,41.86,42.06,41.86,42.08,41.89,42.13,41.95,42.16 | +| sea | 60.51,60.53,60.57,60.6,60.65,60.67,60.69,60.75,60.77,60.82,60.85,60.9,60.94,60.99,61.02,61.06,61.08,61.12,61.15,61.19 | +| mirror | 66.86,66.88,66.9,67.01,67.1,67.14,67.19,67.21,67.18,67.31,67.41,67.34,67.42,67.49,67.44,67.42,67.47,67.45,67.55,67.51 | +| rug | 64.67,64.81,64.87,64.99,64.99,65.08,65.09,65.2,65.19,65.23,65.22,65.24,65.26,65.31,65.36,65.3,65.37,65.28,65.44,65.24 | +| field | 31.2,31.24,31.29,31.27,31.32,31.32,31.34,31.34,31.37,31.37,31.35,31.4,31.38,31.39,31.43,31.41,31.46,31.43,31.49,31.45 | +| armchair | 38.38,38.49,38.52,38.52,38.59,38.72,38.62,38.72,38.65,38.66,38.64,38.64,38.55,38.62,38.54,38.59,38.51,38.59,38.5,38.55 | +| seat | 66.3,66.29,66.35,66.35,66.36,66.52,66.39,66.42,66.41,66.37,66.38,66.42,66.36,66.42,66.37,66.46,66.38,66.5,66.35,66.49 | +| fence | 41.04,41.11,41.09,41.13,41.12,41.19,41.31,41.16,41.16,41.25,41.27,41.32,41.19,41.34,41.19,41.3,41.16,41.27,41.18,41.22 | +| desk | 47.42,47.43,47.52,47.61,47.65,47.69,47.69,47.8,47.79,47.76,47.77,47.83,47.8,47.84,47.85,47.9,47.86,47.93,47.88,47.92 | +| rock | 37.33,37.35,37.32,37.33,37.32,37.41,37.28,37.42,37.26,37.4,37.27,37.44,37.22,37.45,37.22,37.34,37.18,37.32,37.16,37.34 | +| wardrobe | 58.05,58.11,58.16,58.13,58.17,58.19,58.17,58.19,58.15,58.21,58.16,58.19,58.17,58.19,58.13,58.18,58.15,58.18,58.14,58.18 | +| lamp | 62.63,62.65,62.75,62.69,62.76,62.71,62.73,62.78,62.69,62.75,62.74,62.76,62.7,62.72,62.79,62.73,62.74,62.72,62.75,62.73 | +| bathtub | 77.6,77.44,77.36,77.4,77.17,77.16,76.97,77.08,77.17,76.98,77.05,76.82,76.9,76.84,76.83,76.59,76.7,76.48,76.51,76.45 | +| railing | 34.06,34.02,33.98,33.96,33.96,33.92,33.94,33.93,33.91,33.9,33.95,33.91,33.93,33.89,33.88,33.85,33.91,33.86,33.91,33.85 | +| cushion | 57.79,57.89,57.76,57.88,57.92,57.93,58.14,58.01,58.0,57.95,58.12,58.15,58.25,58.11,58.24,58.19,58.19,58.22,58.18,58.17 | +| base | 22.44,22.44,22.41,22.45,22.43,22.43,22.39,22.46,22.33,22.44,22.34,22.4,22.34,22.29,22.24,22.21,22.15,22.07,22.12,22.0 | +| box | 22.67,22.77,22.83,22.77,22.88,22.82,22.97,22.9,22.98,23.03,23.04,23.08,23.09,23.1,23.08,23.15,23.17,23.15,23.23,23.16 | +| column | 46.5,46.51,46.54,46.45,46.53,46.57,46.53,46.63,46.58,46.7,46.71,46.69,46.68,46.69,46.68,46.61,46.76,46.6,46.69,46.6 | +| signboard | 37.66,37.72,37.74,37.77,37.85,37.8,37.86,37.76,37.87,37.91,37.77,37.83,37.72,37.91,37.82,37.87,37.81,37.93,37.85,37.94 | +| chest of drawers | 37.1,37.13,37.12,37.17,37.07,37.23,37.17,37.24,37.13,37.33,37.18,37.39,37.19,37.43,37.28,37.42,37.38,37.45,37.44,37.49 | +| counter | 30.87,30.86,30.82,30.8,30.77,30.77,30.74,30.72,30.68,30.76,30.68,30.68,30.7,30.69,30.63,30.64,30.66,30.61,30.64,30.6 | +| sand | 43.67,43.73,43.76,43.82,43.84,43.84,43.77,43.81,43.76,43.83,43.83,43.85,43.81,43.83,43.8,43.79,43.69,43.73,43.67,43.7 | +| sink | 68.52,68.48,68.55,68.55,68.53,68.53,68.53,68.48,68.53,68.48,68.5,68.46,68.51,68.45,68.48,68.44,68.5,68.41,68.44,68.4 | +| skyscraper | 49.39,49.23,49.27,49.23,49.28,49.21,49.16,49.15,49.18,49.04,49.17,49.13,49.08,49.17,49.13,49.14,48.96,49.1,48.98,49.14 | +| fireplace | 76.21,76.15,76.27,76.31,76.27,76.23,76.36,76.4,76.31,76.38,76.36,76.42,76.36,76.38,76.37,76.46,76.46,76.44,76.49,76.45 | +| refrigerator | 75.19,75.37,75.24,75.6,75.46,75.75,75.45,75.79,75.68,75.9,75.63,76.12,75.8,76.0,75.91,76.09,75.91,75.97,75.84,75.8 | +| grandstand | 53.45,53.77,53.89,54.0,53.88,54.07,54.22,54.38,54.36,54.49,54.74,54.51,54.64,54.68,54.64,54.68,54.73,54.72,54.76,54.8 | +| path | 21.86,21.94,21.96,21.98,22.03,22.15,22.15,22.12,22.13,22.26,22.13,22.26,22.17,22.23,22.16,22.18,22.11,22.12,22.11,22.11 | +| stairs | 32.03,31.98,31.97,31.92,32.01,31.88,31.92,31.83,31.84,31.75,31.83,31.76,31.76,31.69,31.8,31.71,31.82,31.67,31.87,31.7 | +| runway | 68.3,68.3,68.37,68.31,68.29,68.35,68.27,68.33,68.21,68.24,68.17,68.11,68.05,67.99,67.96,67.93,67.94,67.9,67.94,67.87 | +| case | 47.95,47.81,48.13,48.19,48.11,48.15,48.47,48.6,48.75,48.5,48.68,48.78,48.86,48.81,48.92,48.9,48.92,48.86,48.91,48.84 | +| pool table | 92.17,92.2,92.2,92.26,92.27,92.33,92.34,92.38,92.34,92.4,92.38,92.43,92.43,92.46,92.48,92.5,92.51,92.54,92.54,92.54 | +| pillow | 61.73,61.92,61.67,61.93,62.25,62.16,62.41,62.27,62.48,62.17,62.45,62.26,62.62,62.3,62.57,62.28,62.59,62.58,62.6,62.56 | +| screen door | 72.27,72.58,72.56,72.43,72.58,72.54,72.61,72.59,72.47,72.43,72.33,72.34,72.34,72.43,72.14,72.37,72.01,72.29,71.96,72.17 | +| stairway | 23.61,23.66,23.61,23.61,23.61,23.72,23.68,23.71,23.7,23.75,23.82,23.87,23.93,23.95,24.06,24.01,24.14,24.1,24.18,24.16 | +| river | 12.0,12.01,12.01,11.98,11.99,11.96,11.97,11.97,11.97,11.96,11.94,11.93,11.96,11.92,11.96,11.9,11.94,11.87,11.92,11.86 | +| bridge | 30.38,30.27,30.3,30.5,30.69,30.6,30.77,31.01,31.01,31.01,31.34,31.2,31.4,31.67,31.81,31.87,31.96,32.05,32.16,32.16 | +| bookcase | 48.37,48.48,48.47,48.39,48.5,48.44,48.54,48.52,48.69,48.55,48.8,48.68,48.8,48.65,48.83,48.75,48.87,48.66,48.84,48.62 | +| blind | 40.13,40.3,40.21,40.15,40.3,40.24,40.14,40.15,40.18,40.16,40.18,40.16,40.16,40.26,40.12,40.19,39.99,40.12,39.92,40.09 | +| coffee table | 54.02,54.09,54.04,54.09,53.99,54.06,54.11,54.05,53.97,54.12,54.1,54.12,54.09,54.19,54.07,54.25,54.03,54.24,53.97,54.17 | +| toilet | 84.04,84.03,84.02,84.09,83.99,84.04,84.01,84.06,84.06,84.08,84.11,84.07,84.09,84.09,84.11,84.09,84.11,84.11,84.1,84.09 | +| flower | 39.18,39.22,39.14,39.18,39.14,39.27,39.3,39.31,39.31,39.43,39.36,39.46,39.38,39.59,39.52,39.63,39.51,39.65,39.5,39.7 | +| book | 45.61,45.7,45.63,45.64,45.67,45.71,45.57,45.69,45.59,45.7,45.65,45.64,45.68,45.65,45.65,45.69,45.74,45.72,45.72,45.73 | +| hill | 15.94,15.94,15.93,15.82,15.88,15.75,15.84,15.71,15.85,15.63,15.75,15.58,15.74,15.54,15.73,15.48,15.72,15.45,15.65,15.44 | +| bench | 43.6,43.45,43.5,43.54,43.51,43.56,43.49,43.55,43.42,43.51,43.47,43.57,43.57,43.66,43.5,43.59,43.48,43.51,43.41,43.47 | +| countertop | 57.3,57.09,57.33,57.11,57.24,57.2,57.13,57.15,57.3,57.17,57.3,57.2,57.21,57.09,57.08,57.05,57.14,57.11,57.12,57.16 | +| stove | 73.62,73.58,73.74,73.79,73.84,73.87,73.97,74.01,74.05,74.12,74.12,74.13,74.05,74.18,74.0,74.18,74.03,74.31,74.0,74.31 | +| palm | 48.2,48.26,48.26,48.31,48.27,48.26,48.3,48.4,48.39,48.4,48.45,48.38,48.47,48.36,48.46,48.42,48.39,48.45,48.41,48.48 | +| kitchen island | 44.67,44.8,44.69,44.78,44.84,44.77,44.75,44.46,44.76,44.69,44.75,44.55,44.73,44.55,44.62,44.29,44.49,44.28,44.3,44.26 | +| computer | 60.72,60.7,60.7,60.66,60.72,60.74,60.74,60.75,60.71,60.75,60.66,60.76,60.71,60.69,60.68,60.7,60.69,60.71,60.63,60.65 | +| swivel chair | 43.82,43.94,43.91,43.95,43.91,44.05,44.1,44.23,44.28,44.29,44.39,44.6,44.68,44.73,44.84,44.91,44.89,44.97,44.91,45.0 | +| boat | 73.13,73.14,73.19,73.3,73.27,73.47,73.43,73.52,73.54,73.45,73.62,73.53,73.65,73.61,73.62,73.58,73.69,73.58,73.68,73.62 | +| bar | 24.23,24.24,24.27,24.23,24.24,24.26,24.26,24.25,24.31,24.29,24.32,24.31,24.32,24.3,24.32,24.29,24.32,24.29,24.33,24.28 | +| arcade machine | 67.11,67.2,67.55,67.53,67.98,67.85,68.4,68.33,68.82,68.61,69.39,69.29,69.24,69.19,69.89,69.82,69.87,70.09,70.11,70.29 | +| hovel | 31.31,31.14,31.05,30.97,30.96,30.89,30.81,30.8,30.8,30.39,30.43,30.25,30.16,30.27,29.86,30.14,29.48,29.75,29.3,29.62 | +| bus | 79.88,79.78,79.82,79.84,79.76,79.61,79.69,79.61,79.58,79.61,79.48,79.48,79.48,79.4,79.28,79.31,79.22,79.28,79.22,79.22 | +| towel | 62.94,63.11,63.11,63.29,63.31,63.32,63.42,63.46,63.49,63.55,63.56,63.52,63.51,63.6,63.55,63.58,63.58,63.65,63.58,63.68 | +| light | 56.38,56.4,56.42,56.51,56.54,56.66,56.6,56.55,56.59,56.67,56.72,56.66,56.69,56.66,56.71,56.69,56.71,56.66,56.72,56.66 | +| truck | 19.03,18.98,18.87,18.9,18.86,18.76,18.97,18.91,18.75,18.83,18.82,18.89,18.79,18.76,18.71,18.75,18.68,18.68,18.57,18.56 | +| tower | 9.01,8.99,9.05,9.04,9.06,9.03,9.08,9.11,9.13,9.13,9.13,9.12,9.15,9.15,9.17,9.2,9.16,9.24,9.19,9.28 | +| chandelier | 65.18,65.13,65.17,65.13,65.23,65.11,65.07,65.18,65.09,65.08,65.04,65.0,65.05,65.02,65.08,64.96,65.0,64.94,65.02,64.99 | +| awning | 24.56,24.67,24.81,24.8,24.84,24.91,25.14,25.06,25.08,25.19,25.0,25.25,25.1,25.18,25.13,25.24,25.23,25.22,25.15,25.15 | +| streetlight | 27.47,27.57,27.51,27.64,27.62,27.67,27.75,27.72,27.73,27.74,27.76,27.8,27.75,27.73,27.82,27.8,27.8,27.86,27.87,27.9 | +| booth | 46.6,46.9,46.84,46.9,47.32,47.24,47.22,47.39,47.17,47.48,47.34,47.27,47.21,47.26,47.18,47.07,47.21,46.98,47.08,46.89 | +| television receiver | 65.98,65.92,66.05,66.15,66.24,66.43,66.53,66.5,66.7,66.87,66.81,66.92,66.94,66.95,66.95,66.92,67.0,66.94,67.06,66.97 | +| airplane | 58.84,58.88,58.82,58.86,58.78,58.59,58.45,58.57,58.43,58.4,58.45,58.36,58.33,58.3,58.22,58.28,58.13,58.36,58.04,58.31 | +| dirt track | 21.91,22.06,22.31,22.87,23.3,23.15,23.93,23.9,24.12,24.54,25.03,25.14,25.49,25.29,25.54,25.49,25.74,25.67,26.1,25.96 | +| apparel | 32.79,33.04,33.07,33.13,33.12,33.26,33.22,33.1,33.3,33.19,33.2,33.2,33.2,33.18,33.24,33.04,33.15,33.0,33.06,32.85 | +| pole | 19.89,19.87,19.78,19.84,19.81,19.86,19.82,19.72,19.8,19.85,19.68,19.69,19.64,19.62,19.6,19.58,19.51,19.5,19.49,19.44 | +| land | 3.3,3.37,3.38,3.36,3.37,3.38,3.39,3.4,3.35,3.47,3.36,3.47,3.38,3.47,3.34,3.49,3.36,3.49,3.37,3.48 | +| bannister | 11.97,12.09,12.22,12.14,12.3,12.29,12.28,12.41,12.36,12.56,12.46,12.61,12.65,12.62,12.56,12.58,12.68,12.73,12.65,12.76 | +| escalator | 24.08,24.09,24.16,24.2,24.39,24.22,24.27,24.27,24.39,24.31,24.48,24.36,24.51,24.4,24.58,24.47,24.63,24.4,24.64,24.35 | +| ottoman | 40.85,40.41,40.41,40.5,40.24,39.95,40.13,39.97,39.88,39.92,39.69,39.82,39.59,39.59,39.54,39.61,39.46,39.59,39.44,39.55 | +| bottle | 34.58,34.65,34.76,34.87,34.91,35.02,34.9,35.14,34.97,34.99,35.2,35.36,35.39,35.44,35.57,35.5,35.44,35.54,35.57,35.57 | +| buffet | 43.46,44.26,44.3,44.78,45.02,45.6,45.55,45.87,46.09,46.18,46.26,46.21,46.17,46.27,46.26,46.29,46.49,46.47,46.66,46.59 | +| poster | 23.03,23.05,23.31,23.2,23.21,23.18,23.22,23.18,23.29,23.32,23.22,23.33,23.27,23.23,23.34,23.23,23.37,23.2,23.31,23.23 | +| stage | 15.82,15.93,15.85,15.93,16.15,16.26,16.37,16.35,16.37,16.63,16.64,16.83,16.91,17.26,17.29,17.53,17.73,17.87,18.05,18.29 | +| van | 38.15,38.06,38.13,38.24,38.29,38.21,38.29,38.43,38.41,38.31,38.51,38.41,38.4,38.64,38.43,38.69,38.69,38.8,38.87,38.97 | +| ship | 81.96,82.02,82.22,82.23,82.25,82.51,82.55,82.59,82.52,82.71,82.72,82.73,82.84,82.81,82.82,82.81,82.94,82.96,83.04,83.02 | +| fountain | 19.69,19.93,20.0,19.99,19.94,19.91,19.97,19.99,20.04,19.86,19.95,19.83,19.9,19.74,19.9,19.78,19.86,19.85,19.85,19.73 | +| conveyer belt | 84.46,84.39,84.37,84.45,84.48,84.35,84.33,84.31,84.3,84.29,84.27,84.22,84.27,84.15,84.25,84.11,84.2,84.0,84.08,84.0 | +| canopy | 24.07,24.16,24.34,24.41,24.35,24.57,24.51,24.56,24.51,24.62,24.53,24.67,24.67,24.7,24.64,24.77,24.67,24.76,24.7,24.79 | +| washer | 75.42,75.36,75.68,75.54,76.01,76.11,76.0,76.03,76.14,76.36,76.26,76.61,76.49,76.73,76.55,76.86,76.69,76.93,76.73,76.94 | +| plaything | 20.96,20.82,20.78,20.75,20.76,20.8,20.77,20.72,20.68,20.78,20.65,20.66,20.6,20.57,20.52,20.6,20.61,20.56,20.6,20.54 | +| swimming pool | 72.9,72.8,73.4,73.01,73.08,72.67,72.4,72.65,73.15,73.23,73.1,73.21,73.38,73.64,73.37,73.58,73.47,73.74,73.6,73.62 | +| stool | 42.61,42.58,42.64,42.69,42.58,42.52,42.38,42.49,42.59,42.66,42.53,42.57,42.44,42.41,42.27,42.25,42.16,42.09,42.06,41.98 | +| barrel | 37.68,37.31,38.29,37.23,37.35,37.42,37.04,36.78,36.66,36.56,36.66,36.41,36.27,36.09,36.19,35.99,36.02,35.71,35.68,35.43 | +| basket | 24.86,24.95,24.91,24.88,24.9,25.0,25.02,24.98,24.92,24.93,24.94,25.03,25.0,24.97,25.02,24.94,25.04,25.0,25.06,24.95 | +| waterfall | 50.59,50.49,50.55,50.65,50.6,50.66,50.55,50.4,50.41,50.55,50.34,50.44,50.56,50.37,50.44,50.42,50.51,50.43,50.58,50.48 | +| tent | 95.18,95.2,95.23,95.23,95.22,95.22,95.26,95.21,95.26,95.21,95.28,95.32,95.34,95.3,95.34,95.31,95.34,95.33,95.36,95.34 | +| bag | 16.75,16.89,16.85,16.83,16.89,17.06,16.88,17.1,16.86,17.02,16.91,17.11,17.03,17.1,17.07,17.23,17.01,17.19,17.07,17.21 | +| minibike | 62.54,62.67,62.81,62.95,62.94,62.99,63.03,63.12,63.25,63.31,63.37,63.44,63.33,63.51,63.55,63.56,63.63,63.62,63.65,63.76 | +| cradle | 84.35,84.48,84.68,84.81,84.81,85.13,85.03,85.11,85.07,85.44,85.39,85.59,85.55,85.64,85.73,85.77,85.88,85.84,85.94,85.93 | +| oven | 47.6,47.66,47.92,47.87,47.86,48.12,48.07,48.24,48.31,48.45,48.41,48.18,48.34,48.41,48.5,48.45,48.4,48.4,48.47,48.36 | +| ball | 42.52,42.64,42.75,42.65,42.7,42.66,42.95,42.88,42.68,42.94,42.84,42.63,42.85,42.76,42.74,42.78,42.92,42.7,42.98,42.61 | +| food | 55.32,55.39,55.43,55.64,55.59,55.66,55.8,55.81,55.93,55.87,55.88,56.01,56.04,55.96,56.03,55.97,56.05,55.96,56.07,55.86 | +| step | 5.64,5.71,5.64,5.87,5.71,5.77,5.78,5.74,5.78,5.61,5.71,5.53,5.68,5.48,5.59,5.4,5.43,5.23,5.32,5.13 | +| tank | 48.97,48.89,48.93,48.71,48.7,48.73,48.6,48.58,48.51,48.41,48.31,48.4,48.29,48.19,48.25,48.15,48.19,48.07,48.12,48.0 | +| trade name | 28.24,28.22,28.56,28.57,28.47,28.44,28.4,28.4,28.46,28.31,28.29,28.28,28.32,28.32,28.24,28.25,28.22,28.33,28.26,28.41 | +| microwave | 71.9,72.18,72.21,72.43,72.5,72.67,72.74,72.73,72.76,73.0,72.86,73.0,73.13,73.22,73.3,73.32,73.43,73.43,73.5,73.51 | +| pot | 28.74,28.81,28.76,28.84,28.92,29.01,28.92,28.93,29.11,29.02,29.19,29.14,29.2,29.2,29.29,29.28,29.31,29.48,29.5,29.56 | +| animal | 54.96,54.94,54.95,55.01,55.02,55.04,54.99,55.02,55.07,55.02,55.09,55.01,55.08,54.99,55.0,55.02,54.98,55.01,55.0,55.0 | +| bicycle | 54.99,54.99,55.06,55.18,55.29,55.5,55.47,55.47,55.45,55.6,55.52,55.71,55.71,55.86,55.77,55.88,55.93,56.01,56.0,55.96 | +| lake | 58.21,58.26,58.26,58.29,58.34,58.3,58.36,58.41,58.34,58.4,58.39,58.4,58.43,58.38,58.38,58.47,58.38,58.43,58.35,58.43 | +| dishwasher | 66.98,66.83,67.03,66.84,67.21,67.1,67.08,67.09,67.05,67.07,67.04,67.24,67.04,67.22,67.12,67.24,67.17,67.37,67.22,67.33 | +| screen | 66.59,66.54,66.3,66.15,66.27,66.07,65.39,65.93,65.6,65.68,65.28,65.61,65.29,65.45,65.06,65.27,64.92,65.09,64.78,64.85 | +| blanket | 18.31,18.56,18.63,18.71,18.79,19.02,19.07,18.97,19.06,19.34,19.31,19.35,19.48,19.35,19.45,19.5,19.55,19.48,19.58,19.51 | +| sculpture | 56.39,56.41,56.29,56.1,55.95,55.93,55.9,56.0,55.82,55.83,56.0,55.82,55.61,55.6,55.76,55.7,55.54,55.59,55.55,55.65 | +| hood | 57.7,57.56,57.7,57.08,57.01,56.94,57.19,57.07,56.79,57.06,56.96,56.85,57.21,56.91,57.03,56.68,56.82,56.7,56.9,56.6 | +| sconce | 41.68,41.88,41.88,41.93,42.07,42.29,42.16,42.04,42.49,42.28,42.79,42.53,42.67,42.81,42.87,42.83,42.93,43.04,43.06,43.24 | +| vase | 36.35,36.5,36.55,36.41,36.59,36.65,36.54,36.58,36.62,36.6,36.77,36.65,36.74,36.56,36.8,36.73,36.74,36.73,36.74,36.68 | +| traffic light | 33.04,33.26,33.36,33.45,33.49,33.62,33.64,33.68,33.78,33.84,33.9,33.94,34.0,34.17,34.18,34.31,34.39,34.48,34.62,34.64 | +| tray | 8.72,8.73,8.79,8.72,8.89,8.99,9.0,9.03,9.01,9.09,9.18,9.31,9.27,9.33,9.36,9.32,9.29,9.5,9.37,9.54 | +| ashcan | 41.13,41.28,41.24,41.12,41.06,41.0,41.23,41.18,41.18,41.11,41.29,41.1,41.13,41.11,41.06,41.05,41.03,41.15,41.08,41.12 | +| fan | 57.34,57.41,57.39,57.27,57.09,57.29,57.13,57.2,57.21,57.18,57.28,57.22,57.25,57.29,57.15,57.27,57.14,57.16,56.95,57.19 | +| pier | 42.79,43.08,43.22,43.48,44.09,43.96,44.38,43.86,44.27,44.08,44.21,44.12,44.4,44.17,43.86,43.68,43.54,43.68,43.86,43.94 | +| crt screen | 10.67,10.79,10.75,10.78,10.85,10.79,10.89,10.78,10.84,10.86,10.89,10.92,10.93,10.92,10.95,11.06,10.91,11.08,10.92,11.0 | +| plate | 53.49,53.53,53.71,53.61,53.73,53.76,54.04,53.96,54.08,54.06,54.23,54.23,54.29,54.48,54.28,54.43,54.42,54.48,54.53,54.6 | +| monitor | 20.8,20.65,20.48,20.46,20.42,20.29,20.28,20.08,20.03,20.0,19.85,19.75,19.66,19.45,19.44,19.23,19.06,18.96,18.84,18.75 | +| bulletin board | 40.39,40.19,39.76,39.73,39.68,40.06,39.66,40.08,39.62,39.39,39.61,39.52,39.59,39.78,39.88,39.66,39.77,39.76,39.81,39.72 | +| shower | 2.19,2.16,2.19,2.11,2.13,2.12,2.1,2.07,2.04,2.02,2.02,1.99,1.97,2.0,1.98,2.03,1.96,1.98,1.95,1.98 | +| radiator | 60.25,61.08,61.84,61.87,62.32,62.93,62.93,63.18,63.46,63.47,63.92,63.9,64.09,64.1,64.47,64.4,64.59,64.53,64.74,64.62 | +| glass | 14.29,14.29,14.32,14.25,14.37,14.31,14.32,14.28,14.27,14.27,14.19,14.27,14.28,14.25,14.26,14.22,14.18,14.18,14.19,14.15 | +| clock | 35.66,35.68,36.02,35.73,35.85,35.97,35.72,35.6,35.67,35.72,36.17,35.82,35.95,35.9,35.64,36.11,36.05,36.05,36.06,36.04 | +| flag | 33.73,33.7,33.63,33.61,33.6,33.58,33.44,33.41,33.48,33.47,33.42,33.44,33.5,33.37,33.43,33.46,33.41,33.53,33.5,33.46 | ++---------------------+-------------------------------------------------------------------------------------------------------------------------+ +2023-03-04 08:45:35,052 - mmseg - INFO - Summary: +2023-03-04 08:45:35,052 - mmseg - INFO - ++-----------------------------------------------------------------------------------------------------------------------+ +| mIoU 0,1,2,3,4,5,6,7,8,9,10,11,12,13,14,15,16,17,18,19 | ++-----------------------------------------------------------------------------------------------------------------------+ +| 48.82,48.86,48.9,48.91,48.95,48.98,48.99,49.01,49.02,49.04,49.07,49.07,49.08,49.09,49.09,49.1,49.09,49.11,49.11,49.11 | ++-----------------------------------------------------------------------------------------------------------------------+ +2023-03-04 08:45:35,086 - mmseg - INFO - The previous best checkpoint /mnt/petrelfs/laizeqiang/mmseg-baseline/work_dirs2/ablation_segformer_mit_b2_segformer_head_unet_fc_small_multi_step_ade_pretrained_freeze_embed_160k_ade20k151_finetune_ema_t20/best_mIoU_iter_112000.pth was removed +2023-03-04 08:45:36,087 - mmseg - INFO - Now best checkpoint is saved as best_mIoU_iter_128000.pth. +2023-03-04 08:45:36,087 - mmseg - INFO - Best mIoU is 0.4911 at 128000 iter. +2023-03-04 08:45:36,087 - mmseg - INFO - Exp name: ablation_segformer_mit_b2_segformer_head_unet_fc_small_multi_step_ade_pretrained_freeze_embed_160k_ade20k151_finetune_ema_t20.py +2023-03-04 08:45:36,088 - mmseg - INFO - Iter(val) [250] mIoU: [0.4882, 0.4886, 0.489, 0.4891, 0.4895, 0.4898, 0.4899, 0.4901, 0.4902, 0.4904, 0.4907, 0.4907, 0.4908, 0.4909, 0.4909, 0.491, 0.4909, 0.4911, 0.4911, 0.4911], copy_paste: 48.82,48.86,48.9,48.91,48.95,48.98,48.99,49.01,49.02,49.04,49.07,49.07,49.08,49.09,49.09,49.1,49.09,49.11,49.11,49.11 +2023-03-04 08:45:36,095 - mmseg - INFO - Swap parameters (before train) before iter [128001] +2023-03-04 08:45:46,141 - mmseg - INFO - Iter [128050/160000] lr: 3.750e-05, eta: 1:53:22, time: 4.445, data_time: 4.252, memory: 59439, decode.loss_ce: 0.1911, decode.acc_seg: 92.2274, loss: 0.1911 +2023-03-04 08:45:58,698 - mmseg - INFO - Iter [128100/160000] lr: 3.750e-05, eta: 1:53:12, time: 0.251, data_time: 0.055, memory: 59439, decode.loss_ce: 0.1970, decode.acc_seg: 92.0353, loss: 0.1970 +2023-03-04 08:46:08,444 - mmseg - INFO - Iter [128150/160000] lr: 3.750e-05, eta: 1:53:01, time: 0.195, data_time: 0.007, memory: 59439, decode.loss_ce: 0.1891, decode.acc_seg: 92.2549, loss: 0.1891 +2023-03-04 08:46:18,257 - mmseg - INFO - Iter [128200/160000] lr: 3.750e-05, eta: 1:52:50, time: 0.196, data_time: 0.007, memory: 59439, decode.loss_ce: 0.1789, decode.acc_seg: 92.6897, loss: 0.1789 +2023-03-04 08:46:27,814 - mmseg - INFO - Iter [128250/160000] lr: 3.750e-05, eta: 1:52:39, time: 0.191, data_time: 0.007, memory: 59439, decode.loss_ce: 0.1868, decode.acc_seg: 92.3209, loss: 0.1868 +2023-03-04 08:46:37,407 - mmseg - INFO - Iter [128300/160000] lr: 3.750e-05, eta: 1:52:28, time: 0.192, data_time: 0.008, memory: 59439, decode.loss_ce: 0.1947, decode.acc_seg: 92.1216, loss: 0.1947 +2023-03-04 08:46:47,034 - mmseg - INFO - Iter [128350/160000] lr: 3.750e-05, eta: 1:52:17, time: 0.193, data_time: 0.007, memory: 59439, decode.loss_ce: 0.1863, decode.acc_seg: 92.3556, loss: 0.1863 +2023-03-04 08:46:56,756 - mmseg - INFO - Iter [128400/160000] lr: 3.750e-05, eta: 1:52:07, time: 0.194, data_time: 0.008, memory: 59439, decode.loss_ce: 0.1859, decode.acc_seg: 92.3620, loss: 0.1859 +2023-03-04 08:47:06,428 - mmseg - INFO - Iter [128450/160000] lr: 3.750e-05, eta: 1:51:56, time: 0.193, data_time: 0.008, memory: 59439, decode.loss_ce: 0.1848, decode.acc_seg: 92.3515, loss: 0.1848 +2023-03-04 08:47:15,938 - mmseg - INFO - Iter [128500/160000] lr: 3.750e-05, eta: 1:51:45, time: 0.190, data_time: 0.008, memory: 59439, decode.loss_ce: 0.1838, decode.acc_seg: 92.3710, loss: 0.1838 +2023-03-04 08:47:25,610 - mmseg - INFO - Iter [128550/160000] lr: 3.750e-05, eta: 1:51:34, time: 0.193, data_time: 0.008, memory: 59439, decode.loss_ce: 0.1832, decode.acc_seg: 92.4839, loss: 0.1832 +2023-03-04 08:47:35,181 - mmseg - INFO - Iter [128600/160000] lr: 3.750e-05, eta: 1:51:23, time: 0.191, data_time: 0.008, memory: 59439, decode.loss_ce: 0.1948, decode.acc_seg: 92.0593, loss: 0.1948 +2023-03-04 08:47:44,772 - mmseg - INFO - Iter [128650/160000] lr: 3.750e-05, eta: 1:51:12, time: 0.192, data_time: 0.007, memory: 59439, decode.loss_ce: 0.1808, decode.acc_seg: 92.4406, loss: 0.1808 +2023-03-04 08:47:54,672 - mmseg - INFO - Iter [128700/160000] lr: 3.750e-05, eta: 1:51:01, time: 0.198, data_time: 0.007, memory: 59439, decode.loss_ce: 0.1878, decode.acc_seg: 92.2488, loss: 0.1878 +2023-03-04 08:48:06,834 - mmseg - INFO - Iter [128750/160000] lr: 3.750e-05, eta: 1:50:51, time: 0.243, data_time: 0.056, memory: 59439, decode.loss_ce: 0.1774, decode.acc_seg: 92.7170, loss: 0.1774 +2023-03-04 08:48:16,830 - mmseg - INFO - Iter [128800/160000] lr: 3.750e-05, eta: 1:50:40, time: 0.200, data_time: 0.008, memory: 59439, decode.loss_ce: 0.1827, decode.acc_seg: 92.4069, loss: 0.1827 +2023-03-04 08:48:26,560 - mmseg - INFO - Iter [128850/160000] lr: 3.750e-05, eta: 1:50:29, time: 0.195, data_time: 0.007, memory: 59439, decode.loss_ce: 0.1852, decode.acc_seg: 92.5384, loss: 0.1852 +2023-03-04 08:48:36,167 - mmseg - INFO - Iter [128900/160000] lr: 3.750e-05, eta: 1:50:18, time: 0.192, data_time: 0.007, memory: 59439, decode.loss_ce: 0.1876, decode.acc_seg: 92.2863, loss: 0.1876 +2023-03-04 08:48:46,393 - mmseg - INFO - Iter [128950/160000] lr: 3.750e-05, eta: 1:50:08, time: 0.205, data_time: 0.008, memory: 59439, decode.loss_ce: 0.1931, decode.acc_seg: 92.0078, loss: 0.1931 +2023-03-04 08:48:56,148 - mmseg - INFO - Exp name: ablation_segformer_mit_b2_segformer_head_unet_fc_small_multi_step_ade_pretrained_freeze_embed_160k_ade20k151_finetune_ema_t20.py +2023-03-04 08:48:56,148 - mmseg - INFO - Iter [129000/160000] lr: 3.750e-05, eta: 1:49:57, time: 0.195, data_time: 0.007, memory: 59439, decode.loss_ce: 0.1819, decode.acc_seg: 92.4790, loss: 0.1819 +2023-03-04 08:49:06,045 - mmseg - INFO - Iter [129050/160000] lr: 3.750e-05, eta: 1:49:46, time: 0.198, data_time: 0.008, memory: 59439, decode.loss_ce: 0.1912, decode.acc_seg: 92.2000, loss: 0.1912 +2023-03-04 08:49:15,651 - mmseg - INFO - Iter [129100/160000] lr: 3.750e-05, eta: 1:49:35, time: 0.192, data_time: 0.008, memory: 59439, decode.loss_ce: 0.1856, decode.acc_seg: 92.3634, loss: 0.1856 +2023-03-04 08:49:25,408 - mmseg - INFO - Iter [129150/160000] lr: 3.750e-05, eta: 1:49:24, time: 0.195, data_time: 0.007, memory: 59439, decode.loss_ce: 0.1817, decode.acc_seg: 92.4668, loss: 0.1817 +2023-03-04 08:49:34,960 - mmseg - INFO - Iter [129200/160000] lr: 3.750e-05, eta: 1:49:13, time: 0.191, data_time: 0.007, memory: 59439, decode.loss_ce: 0.1936, decode.acc_seg: 92.2060, loss: 0.1936 +2023-03-04 08:49:44,751 - mmseg - INFO - Iter [129250/160000] lr: 3.750e-05, eta: 1:49:03, time: 0.196, data_time: 0.008, memory: 59439, decode.loss_ce: 0.1905, decode.acc_seg: 92.1271, loss: 0.1905 +2023-03-04 08:49:54,430 - mmseg - INFO - Iter [129300/160000] lr: 3.750e-05, eta: 1:48:52, time: 0.194, data_time: 0.007, memory: 59439, decode.loss_ce: 0.1751, decode.acc_seg: 92.7865, loss: 0.1751 +2023-03-04 08:50:04,193 - mmseg - INFO - Iter [129350/160000] lr: 3.750e-05, eta: 1:48:41, time: 0.195, data_time: 0.007, memory: 59439, decode.loss_ce: 0.1887, decode.acc_seg: 92.3817, loss: 0.1887 +2023-03-04 08:50:16,799 - mmseg - INFO - Iter [129400/160000] lr: 3.750e-05, eta: 1:48:31, time: 0.252, data_time: 0.055, memory: 59439, decode.loss_ce: 0.1829, decode.acc_seg: 92.3925, loss: 0.1829 +2023-03-04 08:50:26,721 - mmseg - INFO - Iter [129450/160000] lr: 3.750e-05, eta: 1:48:20, time: 0.198, data_time: 0.007, memory: 59439, decode.loss_ce: 0.1962, decode.acc_seg: 91.9876, loss: 0.1962 +2023-03-04 08:50:36,428 - mmseg - INFO - Iter [129500/160000] lr: 3.750e-05, eta: 1:48:09, time: 0.194, data_time: 0.008, memory: 59439, decode.loss_ce: 0.1872, decode.acc_seg: 92.2052, loss: 0.1872 +2023-03-04 08:50:46,226 - mmseg - INFO - Iter [129550/160000] lr: 3.750e-05, eta: 1:47:58, time: 0.196, data_time: 0.007, memory: 59439, decode.loss_ce: 0.1899, decode.acc_seg: 92.2377, loss: 0.1899 +2023-03-04 08:50:55,827 - mmseg - INFO - Iter [129600/160000] lr: 3.750e-05, eta: 1:47:47, time: 0.192, data_time: 0.008, memory: 59439, decode.loss_ce: 0.1835, decode.acc_seg: 92.5938, loss: 0.1835 +2023-03-04 08:51:05,572 - mmseg - INFO - Iter [129650/160000] lr: 3.750e-05, eta: 1:47:36, time: 0.195, data_time: 0.008, memory: 59439, decode.loss_ce: 0.1771, decode.acc_seg: 92.6525, loss: 0.1771 +2023-03-04 08:51:15,393 - mmseg - INFO - Iter [129700/160000] lr: 3.750e-05, eta: 1:47:26, time: 0.196, data_time: 0.007, memory: 59439, decode.loss_ce: 0.1860, decode.acc_seg: 92.4193, loss: 0.1860 +2023-03-04 08:51:24,986 - mmseg - INFO - Iter [129750/160000] lr: 3.750e-05, eta: 1:47:15, time: 0.192, data_time: 0.007, memory: 59439, decode.loss_ce: 0.1786, decode.acc_seg: 92.6909, loss: 0.1786 +2023-03-04 08:51:34,810 - mmseg - INFO - Iter [129800/160000] lr: 3.750e-05, eta: 1:47:04, time: 0.196, data_time: 0.007, memory: 59439, decode.loss_ce: 0.1956, decode.acc_seg: 92.0722, loss: 0.1956 +2023-03-04 08:51:44,437 - mmseg - INFO - Iter [129850/160000] lr: 3.750e-05, eta: 1:46:53, time: 0.193, data_time: 0.007, memory: 59439, decode.loss_ce: 0.1844, decode.acc_seg: 92.3716, loss: 0.1844 +2023-03-04 08:51:54,160 - mmseg - INFO - Iter [129900/160000] lr: 3.750e-05, eta: 1:46:42, time: 0.194, data_time: 0.008, memory: 59439, decode.loss_ce: 0.1898, decode.acc_seg: 92.2396, loss: 0.1898 +2023-03-04 08:52:03,844 - mmseg - INFO - Iter [129950/160000] lr: 3.750e-05, eta: 1:46:31, time: 0.194, data_time: 0.007, memory: 59439, decode.loss_ce: 0.1779, decode.acc_seg: 92.6447, loss: 0.1779 +2023-03-04 08:52:16,163 - mmseg - INFO - Exp name: ablation_segformer_mit_b2_segformer_head_unet_fc_small_multi_step_ade_pretrained_freeze_embed_160k_ade20k151_finetune_ema_t20.py +2023-03-04 08:52:16,163 - mmseg - INFO - Iter [130000/160000] lr: 3.750e-05, eta: 1:46:21, time: 0.246, data_time: 0.056, memory: 59439, decode.loss_ce: 0.1848, decode.acc_seg: 92.5587, loss: 0.1848 +2023-03-04 08:52:25,840 - mmseg - INFO - Iter [130050/160000] lr: 3.750e-05, eta: 1:46:10, time: 0.194, data_time: 0.008, memory: 59439, decode.loss_ce: 0.1843, decode.acc_seg: 92.4962, loss: 0.1843 +2023-03-04 08:52:35,417 - mmseg - INFO - Iter [130100/160000] lr: 3.750e-05, eta: 1:45:59, time: 0.192, data_time: 0.008, memory: 59439, decode.loss_ce: 0.1846, decode.acc_seg: 92.4185, loss: 0.1846 +2023-03-04 08:52:45,151 - mmseg - INFO - Iter [130150/160000] lr: 3.750e-05, eta: 1:45:48, time: 0.195, data_time: 0.007, memory: 59439, decode.loss_ce: 0.1852, decode.acc_seg: 92.3197, loss: 0.1852 +2023-03-04 08:52:55,276 - mmseg - INFO - Iter [130200/160000] lr: 3.750e-05, eta: 1:45:38, time: 0.202, data_time: 0.007, memory: 59439, decode.loss_ce: 0.1841, decode.acc_seg: 92.3467, loss: 0.1841 +2023-03-04 08:53:05,105 - mmseg - INFO - Iter [130250/160000] lr: 3.750e-05, eta: 1:45:27, time: 0.197, data_time: 0.008, memory: 59439, decode.loss_ce: 0.1874, decode.acc_seg: 92.3169, loss: 0.1874 +2023-03-04 08:53:14,840 - mmseg - INFO - Iter [130300/160000] lr: 3.750e-05, eta: 1:45:16, time: 0.195, data_time: 0.007, memory: 59439, decode.loss_ce: 0.1834, decode.acc_seg: 92.3761, loss: 0.1834 +2023-03-04 08:53:24,408 - mmseg - INFO - Iter [130350/160000] lr: 3.750e-05, eta: 1:45:05, time: 0.191, data_time: 0.008, memory: 59439, decode.loss_ce: 0.1799, decode.acc_seg: 92.6667, loss: 0.1799 +2023-03-04 08:53:34,064 - mmseg - INFO - Iter [130400/160000] lr: 3.750e-05, eta: 1:44:54, time: 0.193, data_time: 0.008, memory: 59439, decode.loss_ce: 0.1942, decode.acc_seg: 92.0620, loss: 0.1942 +2023-03-04 08:53:43,698 - mmseg - INFO - Iter [130450/160000] lr: 3.750e-05, eta: 1:44:43, time: 0.193, data_time: 0.008, memory: 59439, decode.loss_ce: 0.1853, decode.acc_seg: 92.3201, loss: 0.1853 +2023-03-04 08:53:53,459 - mmseg - INFO - Iter [130500/160000] lr: 3.750e-05, eta: 1:44:33, time: 0.195, data_time: 0.008, memory: 59439, decode.loss_ce: 0.1857, decode.acc_seg: 92.4529, loss: 0.1857 +2023-03-04 08:54:03,198 - mmseg - INFO - Iter [130550/160000] lr: 3.750e-05, eta: 1:44:22, time: 0.195, data_time: 0.007, memory: 59439, decode.loss_ce: 0.1860, decode.acc_seg: 92.3040, loss: 0.1860 +2023-03-04 08:54:12,720 - mmseg - INFO - Iter [130600/160000] lr: 3.750e-05, eta: 1:44:11, time: 0.190, data_time: 0.008, memory: 59439, decode.loss_ce: 0.1913, decode.acc_seg: 92.2211, loss: 0.1913 +2023-03-04 08:54:24,966 - mmseg - INFO - Iter [130650/160000] lr: 3.750e-05, eta: 1:44:01, time: 0.245, data_time: 0.053, memory: 59439, decode.loss_ce: 0.1921, decode.acc_seg: 92.2523, loss: 0.1921 +2023-03-04 08:54:34,637 - mmseg - INFO - Iter [130700/160000] lr: 3.750e-05, eta: 1:43:50, time: 0.193, data_time: 0.007, memory: 59439, decode.loss_ce: 0.1890, decode.acc_seg: 92.1903, loss: 0.1890 +2023-03-04 08:54:44,551 - mmseg - INFO - Iter [130750/160000] lr: 3.750e-05, eta: 1:43:39, time: 0.198, data_time: 0.007, memory: 59439, decode.loss_ce: 0.1865, decode.acc_seg: 92.1630, loss: 0.1865 +2023-03-04 08:54:54,267 - mmseg - INFO - Iter [130800/160000] lr: 3.750e-05, eta: 1:43:28, time: 0.194, data_time: 0.008, memory: 59439, decode.loss_ce: 0.1838, decode.acc_seg: 92.4602, loss: 0.1838 +2023-03-04 08:55:03,951 - mmseg - INFO - Iter [130850/160000] lr: 3.750e-05, eta: 1:43:17, time: 0.194, data_time: 0.008, memory: 59439, decode.loss_ce: 0.1929, decode.acc_seg: 92.1548, loss: 0.1929 +2023-03-04 08:55:13,486 - mmseg - INFO - Iter [130900/160000] lr: 3.750e-05, eta: 1:43:06, time: 0.191, data_time: 0.008, memory: 59439, decode.loss_ce: 0.1847, decode.acc_seg: 92.2695, loss: 0.1847 +2023-03-04 08:55:23,154 - mmseg - INFO - Iter [130950/160000] lr: 3.750e-05, eta: 1:42:56, time: 0.193, data_time: 0.008, memory: 59439, decode.loss_ce: 0.1883, decode.acc_seg: 92.3534, loss: 0.1883 +2023-03-04 08:55:32,710 - mmseg - INFO - Exp name: ablation_segformer_mit_b2_segformer_head_unet_fc_small_multi_step_ade_pretrained_freeze_embed_160k_ade20k151_finetune_ema_t20.py +2023-03-04 08:55:32,710 - mmseg - INFO - Iter [131000/160000] lr: 3.750e-05, eta: 1:42:45, time: 0.191, data_time: 0.008, memory: 59439, decode.loss_ce: 0.1873, decode.acc_seg: 92.4486, loss: 0.1873 +2023-03-04 08:55:42,397 - mmseg - INFO - Iter [131050/160000] lr: 3.750e-05, eta: 1:42:34, time: 0.194, data_time: 0.008, memory: 59439, decode.loss_ce: 0.1752, decode.acc_seg: 92.6450, loss: 0.1752 +2023-03-04 08:55:52,249 - mmseg - INFO - Iter [131100/160000] lr: 3.750e-05, eta: 1:42:23, time: 0.197, data_time: 0.007, memory: 59439, decode.loss_ce: 0.1909, decode.acc_seg: 92.2517, loss: 0.1909 +2023-03-04 08:56:01,915 - mmseg - INFO - Iter [131150/160000] lr: 3.750e-05, eta: 1:42:12, time: 0.193, data_time: 0.008, memory: 59439, decode.loss_ce: 0.1827, decode.acc_seg: 92.6251, loss: 0.1827 +2023-03-04 08:56:11,829 - mmseg - INFO - Iter [131200/160000] lr: 3.750e-05, eta: 1:42:01, time: 0.198, data_time: 0.007, memory: 59439, decode.loss_ce: 0.1819, decode.acc_seg: 92.4907, loss: 0.1819 +2023-03-04 08:56:24,176 - mmseg - INFO - Iter [131250/160000] lr: 3.750e-05, eta: 1:41:51, time: 0.247, data_time: 0.055, memory: 59439, decode.loss_ce: 0.1931, decode.acc_seg: 92.0659, loss: 0.1931 +2023-03-04 08:56:33,729 - mmseg - INFO - Iter [131300/160000] lr: 3.750e-05, eta: 1:41:40, time: 0.191, data_time: 0.007, memory: 59439, decode.loss_ce: 0.1870, decode.acc_seg: 92.2288, loss: 0.1870 +2023-03-04 08:56:43,378 - mmseg - INFO - Iter [131350/160000] lr: 3.750e-05, eta: 1:41:30, time: 0.193, data_time: 0.007, memory: 59439, decode.loss_ce: 0.1849, decode.acc_seg: 92.4433, loss: 0.1849 +2023-03-04 08:56:52,990 - mmseg - INFO - Iter [131400/160000] lr: 3.750e-05, eta: 1:41:19, time: 0.192, data_time: 0.008, memory: 59439, decode.loss_ce: 0.1896, decode.acc_seg: 92.3172, loss: 0.1896 +2023-03-04 08:57:02,658 - mmseg - INFO - Iter [131450/160000] lr: 3.750e-05, eta: 1:41:08, time: 0.193, data_time: 0.007, memory: 59439, decode.loss_ce: 0.1791, decode.acc_seg: 92.6339, loss: 0.1791 +2023-03-04 08:57:12,409 - mmseg - INFO - Iter [131500/160000] lr: 3.750e-05, eta: 1:40:57, time: 0.195, data_time: 0.007, memory: 59439, decode.loss_ce: 0.1888, decode.acc_seg: 92.2083, loss: 0.1888 +2023-03-04 08:57:21,973 - mmseg - INFO - Iter [131550/160000] lr: 3.750e-05, eta: 1:40:46, time: 0.192, data_time: 0.008, memory: 59439, decode.loss_ce: 0.1883, decode.acc_seg: 92.4318, loss: 0.1883 +2023-03-04 08:57:31,552 - mmseg - INFO - Iter [131600/160000] lr: 3.750e-05, eta: 1:40:35, time: 0.192, data_time: 0.008, memory: 59439, decode.loss_ce: 0.1836, decode.acc_seg: 92.4554, loss: 0.1836 +2023-03-04 08:57:41,351 - mmseg - INFO - Iter [131650/160000] lr: 3.750e-05, eta: 1:40:24, time: 0.196, data_time: 0.007, memory: 59439, decode.loss_ce: 0.1910, decode.acc_seg: 92.2039, loss: 0.1910 +2023-03-04 08:57:51,258 - mmseg - INFO - Iter [131700/160000] lr: 3.750e-05, eta: 1:40:14, time: 0.198, data_time: 0.007, memory: 59439, decode.loss_ce: 0.1883, decode.acc_seg: 92.3155, loss: 0.1883 +2023-03-04 08:58:01,037 - mmseg - INFO - Iter [131750/160000] lr: 3.750e-05, eta: 1:40:03, time: 0.196, data_time: 0.008, memory: 59439, decode.loss_ce: 0.1822, decode.acc_seg: 92.5081, loss: 0.1822 +2023-03-04 08:58:10,592 - mmseg - INFO - Iter [131800/160000] lr: 3.750e-05, eta: 1:39:52, time: 0.191, data_time: 0.008, memory: 59439, decode.loss_ce: 0.1792, decode.acc_seg: 92.5309, loss: 0.1792 +2023-03-04 08:58:20,444 - mmseg - INFO - Iter [131850/160000] lr: 3.750e-05, eta: 1:39:41, time: 0.197, data_time: 0.008, memory: 59439, decode.loss_ce: 0.1857, decode.acc_seg: 92.2386, loss: 0.1857 +2023-03-04 08:58:32,710 - mmseg - INFO - Iter [131900/160000] lr: 3.750e-05, eta: 1:39:31, time: 0.245, data_time: 0.053, memory: 59439, decode.loss_ce: 0.1902, decode.acc_seg: 92.0292, loss: 0.1902 +2023-03-04 08:58:42,349 - mmseg - INFO - Iter [131950/160000] lr: 3.750e-05, eta: 1:39:20, time: 0.193, data_time: 0.007, memory: 59439, decode.loss_ce: 0.1962, decode.acc_seg: 92.0393, loss: 0.1962 +2023-03-04 08:58:52,048 - mmseg - INFO - Exp name: ablation_segformer_mit_b2_segformer_head_unet_fc_small_multi_step_ade_pretrained_freeze_embed_160k_ade20k151_finetune_ema_t20.py +2023-03-04 08:58:52,048 - mmseg - INFO - Iter [132000/160000] lr: 3.750e-05, eta: 1:39:09, time: 0.194, data_time: 0.008, memory: 59439, decode.loss_ce: 0.1834, decode.acc_seg: 92.2851, loss: 0.1834 +2023-03-04 08:59:01,834 - mmseg - INFO - Iter [132050/160000] lr: 3.750e-05, eta: 1:38:59, time: 0.196, data_time: 0.007, memory: 59439, decode.loss_ce: 0.1890, decode.acc_seg: 92.2498, loss: 0.1890 +2023-03-04 08:59:11,606 - mmseg - INFO - Iter [132100/160000] lr: 3.750e-05, eta: 1:38:48, time: 0.195, data_time: 0.008, memory: 59439, decode.loss_ce: 0.1807, decode.acc_seg: 92.4627, loss: 0.1807 +2023-03-04 08:59:21,188 - mmseg - INFO - Iter [132150/160000] lr: 3.750e-05, eta: 1:38:37, time: 0.192, data_time: 0.008, memory: 59439, decode.loss_ce: 0.1810, decode.acc_seg: 92.5094, loss: 0.1810 +2023-03-04 08:59:30,952 - mmseg - INFO - Iter [132200/160000] lr: 3.750e-05, eta: 1:38:26, time: 0.195, data_time: 0.008, memory: 59439, decode.loss_ce: 0.1880, decode.acc_seg: 92.3742, loss: 0.1880 +2023-03-04 08:59:40,539 - mmseg - INFO - Iter [132250/160000] lr: 3.750e-05, eta: 1:38:15, time: 0.192, data_time: 0.008, memory: 59439, decode.loss_ce: 0.1855, decode.acc_seg: 92.4143, loss: 0.1855 +2023-03-04 08:59:50,258 - mmseg - INFO - Iter [132300/160000] lr: 3.750e-05, eta: 1:38:04, time: 0.194, data_time: 0.008, memory: 59439, decode.loss_ce: 0.1762, decode.acc_seg: 92.7656, loss: 0.1762 +2023-03-04 08:59:59,820 - mmseg - INFO - Iter [132350/160000] lr: 3.750e-05, eta: 1:37:54, time: 0.191, data_time: 0.008, memory: 59439, decode.loss_ce: 0.1833, decode.acc_seg: 92.4792, loss: 0.1833 +2023-03-04 09:00:09,585 - mmseg - INFO - Iter [132400/160000] lr: 3.750e-05, eta: 1:37:43, time: 0.195, data_time: 0.008, memory: 59439, decode.loss_ce: 0.1904, decode.acc_seg: 92.2449, loss: 0.1904 +2023-03-04 09:00:19,088 - mmseg - INFO - Iter [132450/160000] lr: 3.750e-05, eta: 1:37:32, time: 0.190, data_time: 0.007, memory: 59439, decode.loss_ce: 0.1873, decode.acc_seg: 92.4433, loss: 0.1873 +2023-03-04 09:00:28,916 - mmseg - INFO - Iter [132500/160000] lr: 3.750e-05, eta: 1:37:21, time: 0.197, data_time: 0.008, memory: 59439, decode.loss_ce: 0.1921, decode.acc_seg: 92.1760, loss: 0.1921 +2023-03-04 09:00:41,191 - mmseg - INFO - Iter [132550/160000] lr: 3.750e-05, eta: 1:37:11, time: 0.245, data_time: 0.057, memory: 59439, decode.loss_ce: 0.1795, decode.acc_seg: 92.5493, loss: 0.1795 +2023-03-04 09:00:51,080 - mmseg - INFO - Iter [132600/160000] lr: 3.750e-05, eta: 1:37:00, time: 0.198, data_time: 0.008, memory: 59439, decode.loss_ce: 0.1868, decode.acc_seg: 92.5194, loss: 0.1868 +2023-03-04 09:01:01,550 - mmseg - INFO - Iter [132650/160000] lr: 3.750e-05, eta: 1:36:49, time: 0.209, data_time: 0.007, memory: 59439, decode.loss_ce: 0.1785, decode.acc_seg: 92.5473, loss: 0.1785 +2023-03-04 09:01:11,050 - mmseg - INFO - Iter [132700/160000] lr: 3.750e-05, eta: 1:36:39, time: 0.190, data_time: 0.008, memory: 59439, decode.loss_ce: 0.1947, decode.acc_seg: 92.0150, loss: 0.1947 +2023-03-04 09:01:20,848 - mmseg - INFO - Iter [132750/160000] lr: 3.750e-05, eta: 1:36:28, time: 0.196, data_time: 0.008, memory: 59439, decode.loss_ce: 0.1838, decode.acc_seg: 92.4485, loss: 0.1838 +2023-03-04 09:01:30,409 - mmseg - INFO - Iter [132800/160000] lr: 3.750e-05, eta: 1:36:17, time: 0.191, data_time: 0.007, memory: 59439, decode.loss_ce: 0.1898, decode.acc_seg: 92.2778, loss: 0.1898 +2023-03-04 09:01:40,448 - mmseg - INFO - Iter [132850/160000] lr: 3.750e-05, eta: 1:36:06, time: 0.201, data_time: 0.008, memory: 59439, decode.loss_ce: 0.1859, decode.acc_seg: 92.5473, loss: 0.1859 +2023-03-04 09:01:49,997 - mmseg - INFO - Iter [132900/160000] lr: 3.750e-05, eta: 1:35:55, time: 0.191, data_time: 0.008, memory: 59439, decode.loss_ce: 0.1893, decode.acc_seg: 92.2453, loss: 0.1893 +2023-03-04 09:01:59,806 - mmseg - INFO - Iter [132950/160000] lr: 3.750e-05, eta: 1:35:45, time: 0.196, data_time: 0.008, memory: 59439, decode.loss_ce: 0.1815, decode.acc_seg: 92.5051, loss: 0.1815 +2023-03-04 09:02:09,626 - mmseg - INFO - Exp name: ablation_segformer_mit_b2_segformer_head_unet_fc_small_multi_step_ade_pretrained_freeze_embed_160k_ade20k151_finetune_ema_t20.py +2023-03-04 09:02:09,627 - mmseg - INFO - Iter [133000/160000] lr: 3.750e-05, eta: 1:35:34, time: 0.196, data_time: 0.008, memory: 59439, decode.loss_ce: 0.1881, decode.acc_seg: 92.2469, loss: 0.1881 +2023-03-04 09:02:19,175 - mmseg - INFO - Iter [133050/160000] lr: 3.750e-05, eta: 1:35:23, time: 0.191, data_time: 0.007, memory: 59439, decode.loss_ce: 0.1834, decode.acc_seg: 92.4856, loss: 0.1834 +2023-03-04 09:02:28,882 - mmseg - INFO - Iter [133100/160000] lr: 3.750e-05, eta: 1:35:12, time: 0.194, data_time: 0.008, memory: 59439, decode.loss_ce: 0.1873, decode.acc_seg: 92.2963, loss: 0.1873 +2023-03-04 09:02:41,281 - mmseg - INFO - Iter [133150/160000] lr: 3.750e-05, eta: 1:35:02, time: 0.248, data_time: 0.054, memory: 59439, decode.loss_ce: 0.1890, decode.acc_seg: 92.2412, loss: 0.1890 +2023-03-04 09:02:50,929 - mmseg - INFO - Iter [133200/160000] lr: 3.750e-05, eta: 1:34:51, time: 0.193, data_time: 0.007, memory: 59439, decode.loss_ce: 0.1777, decode.acc_seg: 92.6831, loss: 0.1777 +2023-03-04 09:03:00,742 - mmseg - INFO - Iter [133250/160000] lr: 3.750e-05, eta: 1:34:40, time: 0.196, data_time: 0.007, memory: 59439, decode.loss_ce: 0.1966, decode.acc_seg: 92.0665, loss: 0.1966 +2023-03-04 09:03:10,355 - mmseg - INFO - Iter [133300/160000] lr: 3.750e-05, eta: 1:34:29, time: 0.192, data_time: 0.007, memory: 59439, decode.loss_ce: 0.1864, decode.acc_seg: 92.3311, loss: 0.1864 +2023-03-04 09:03:19,992 - mmseg - INFO - Iter [133350/160000] lr: 3.750e-05, eta: 1:34:19, time: 0.193, data_time: 0.007, memory: 59439, decode.loss_ce: 0.1902, decode.acc_seg: 92.2814, loss: 0.1902 +2023-03-04 09:03:30,471 - mmseg - INFO - Iter [133400/160000] lr: 3.750e-05, eta: 1:34:08, time: 0.210, data_time: 0.008, memory: 59439, decode.loss_ce: 0.1837, decode.acc_seg: 92.3784, loss: 0.1837 +2023-03-04 09:03:40,426 - mmseg - INFO - Iter [133450/160000] lr: 3.750e-05, eta: 1:33:57, time: 0.199, data_time: 0.007, memory: 59439, decode.loss_ce: 0.1871, decode.acc_seg: 92.4060, loss: 0.1871 +2023-03-04 09:03:50,212 - mmseg - INFO - Iter [133500/160000] lr: 3.750e-05, eta: 1:33:47, time: 0.196, data_time: 0.007, memory: 59439, decode.loss_ce: 0.1889, decode.acc_seg: 92.1298, loss: 0.1889 +2023-03-04 09:03:59,838 - mmseg - INFO - Iter [133550/160000] lr: 3.750e-05, eta: 1:33:36, time: 0.193, data_time: 0.007, memory: 59439, decode.loss_ce: 0.1846, decode.acc_seg: 92.3787, loss: 0.1846 +2023-03-04 09:04:09,579 - mmseg - INFO - Iter [133600/160000] lr: 3.750e-05, eta: 1:33:25, time: 0.195, data_time: 0.007, memory: 59439, decode.loss_ce: 0.1799, decode.acc_seg: 92.4837, loss: 0.1799 +2023-03-04 09:04:19,201 - mmseg - INFO - Iter [133650/160000] lr: 3.750e-05, eta: 1:33:14, time: 0.192, data_time: 0.007, memory: 59439, decode.loss_ce: 0.1892, decode.acc_seg: 92.2297, loss: 0.1892 +2023-03-04 09:04:28,910 - mmseg - INFO - Iter [133700/160000] lr: 3.750e-05, eta: 1:33:03, time: 0.194, data_time: 0.007, memory: 59439, decode.loss_ce: 0.1808, decode.acc_seg: 92.5090, loss: 0.1808 +2023-03-04 09:04:38,679 - mmseg - INFO - Iter [133750/160000] lr: 3.750e-05, eta: 1:32:53, time: 0.195, data_time: 0.007, memory: 59439, decode.loss_ce: 0.1919, decode.acc_seg: 92.1400, loss: 0.1919 +2023-03-04 09:04:50,839 - mmseg - INFO - Iter [133800/160000] lr: 3.750e-05, eta: 1:32:42, time: 0.243, data_time: 0.056, memory: 59439, decode.loss_ce: 0.1799, decode.acc_seg: 92.5893, loss: 0.1799 +2023-03-04 09:05:00,657 - mmseg - INFO - Iter [133850/160000] lr: 3.750e-05, eta: 1:32:31, time: 0.196, data_time: 0.007, memory: 59439, decode.loss_ce: 0.1805, decode.acc_seg: 92.6656, loss: 0.1805 +2023-03-04 09:05:10,404 - mmseg - INFO - Iter [133900/160000] lr: 3.750e-05, eta: 1:32:21, time: 0.195, data_time: 0.008, memory: 59439, decode.loss_ce: 0.1872, decode.acc_seg: 92.2455, loss: 0.1872 +2023-03-04 09:05:20,305 - mmseg - INFO - Iter [133950/160000] lr: 3.750e-05, eta: 1:32:10, time: 0.198, data_time: 0.007, memory: 59439, decode.loss_ce: 0.1802, decode.acc_seg: 92.5167, loss: 0.1802 +2023-03-04 09:05:30,096 - mmseg - INFO - Exp name: ablation_segformer_mit_b2_segformer_head_unet_fc_small_multi_step_ade_pretrained_freeze_embed_160k_ade20k151_finetune_ema_t20.py +2023-03-04 09:05:30,096 - mmseg - INFO - Iter [134000/160000] lr: 3.750e-05, eta: 1:31:59, time: 0.196, data_time: 0.008, memory: 59439, decode.loss_ce: 0.1902, decode.acc_seg: 92.3190, loss: 0.1902 +2023-03-04 09:05:39,714 - mmseg - INFO - Iter [134050/160000] lr: 3.750e-05, eta: 1:31:48, time: 0.193, data_time: 0.008, memory: 59439, decode.loss_ce: 0.1812, decode.acc_seg: 92.5899, loss: 0.1812 +2023-03-04 09:05:49,266 - mmseg - INFO - Iter [134100/160000] lr: 3.750e-05, eta: 1:31:37, time: 0.191, data_time: 0.008, memory: 59439, decode.loss_ce: 0.1914, decode.acc_seg: 92.1085, loss: 0.1914 +2023-03-04 09:05:58,857 - mmseg - INFO - Iter [134150/160000] lr: 3.750e-05, eta: 1:31:27, time: 0.192, data_time: 0.008, memory: 59439, decode.loss_ce: 0.1970, decode.acc_seg: 91.9700, loss: 0.1970 +2023-03-04 09:06:08,668 - mmseg - INFO - Iter [134200/160000] lr: 3.750e-05, eta: 1:31:16, time: 0.196, data_time: 0.007, memory: 59439, decode.loss_ce: 0.1850, decode.acc_seg: 92.4846, loss: 0.1850 +2023-03-04 09:06:18,481 - mmseg - INFO - Iter [134250/160000] lr: 3.750e-05, eta: 1:31:05, time: 0.196, data_time: 0.008, memory: 59439, decode.loss_ce: 0.1816, decode.acc_seg: 92.4910, loss: 0.1816 +2023-03-04 09:06:28,061 - mmseg - INFO - Iter [134300/160000] lr: 3.750e-05, eta: 1:30:54, time: 0.192, data_time: 0.007, memory: 59439, decode.loss_ce: 0.1930, decode.acc_seg: 92.2890, loss: 0.1930 +2023-03-04 09:06:37,951 - mmseg - INFO - Iter [134350/160000] lr: 3.750e-05, eta: 1:30:44, time: 0.198, data_time: 0.008, memory: 59439, decode.loss_ce: 0.1817, decode.acc_seg: 92.5667, loss: 0.1817 +2023-03-04 09:06:47,500 - mmseg - INFO - Iter [134400/160000] lr: 3.750e-05, eta: 1:30:33, time: 0.191, data_time: 0.008, memory: 59439, decode.loss_ce: 0.1801, decode.acc_seg: 92.5930, loss: 0.1801 +2023-03-04 09:06:59,728 - mmseg - INFO - Iter [134450/160000] lr: 3.750e-05, eta: 1:30:22, time: 0.245, data_time: 0.053, memory: 59439, decode.loss_ce: 0.1908, decode.acc_seg: 92.1453, loss: 0.1908 +2023-03-04 09:07:09,569 - mmseg - INFO - Iter [134500/160000] lr: 3.750e-05, eta: 1:30:12, time: 0.197, data_time: 0.008, memory: 59439, decode.loss_ce: 0.1818, decode.acc_seg: 92.3954, loss: 0.1818 +2023-03-04 09:07:19,540 - mmseg - INFO - Iter [134550/160000] lr: 3.750e-05, eta: 1:30:01, time: 0.200, data_time: 0.008, memory: 59439, decode.loss_ce: 0.1846, decode.acc_seg: 92.4207, loss: 0.1846 +2023-03-04 09:07:29,367 - mmseg - INFO - Iter [134600/160000] lr: 3.750e-05, eta: 1:29:50, time: 0.197, data_time: 0.008, memory: 59439, decode.loss_ce: 0.1883, decode.acc_seg: 92.3005, loss: 0.1883 +2023-03-04 09:07:39,060 - mmseg - INFO - Iter [134650/160000] lr: 3.750e-05, eta: 1:29:39, time: 0.194, data_time: 0.007, memory: 59439, decode.loss_ce: 0.1892, decode.acc_seg: 92.2798, loss: 0.1892 +2023-03-04 09:07:48,878 - mmseg - INFO - Iter [134700/160000] lr: 3.750e-05, eta: 1:29:29, time: 0.196, data_time: 0.007, memory: 59439, decode.loss_ce: 0.1842, decode.acc_seg: 92.4967, loss: 0.1842 +2023-03-04 09:07:58,487 - mmseg - INFO - Iter [134750/160000] lr: 3.750e-05, eta: 1:29:18, time: 0.192, data_time: 0.008, memory: 59439, decode.loss_ce: 0.1813, decode.acc_seg: 92.5115, loss: 0.1813 +2023-03-04 09:08:08,405 - mmseg - INFO - Iter [134800/160000] lr: 3.750e-05, eta: 1:29:07, time: 0.198, data_time: 0.007, memory: 59439, decode.loss_ce: 0.1805, decode.acc_seg: 92.5284, loss: 0.1805 +2023-03-04 09:08:17,971 - mmseg - INFO - Iter [134850/160000] lr: 3.750e-05, eta: 1:28:56, time: 0.191, data_time: 0.007, memory: 59439, decode.loss_ce: 0.1867, decode.acc_seg: 92.3462, loss: 0.1867 +2023-03-04 09:08:27,776 - mmseg - INFO - Iter [134900/160000] lr: 3.750e-05, eta: 1:28:46, time: 0.196, data_time: 0.008, memory: 59439, decode.loss_ce: 0.1807, decode.acc_seg: 92.4549, loss: 0.1807 +2023-03-04 09:08:37,540 - mmseg - INFO - Iter [134950/160000] lr: 3.750e-05, eta: 1:28:35, time: 0.195, data_time: 0.007, memory: 59439, decode.loss_ce: 0.1878, decode.acc_seg: 92.3588, loss: 0.1878 +2023-03-04 09:08:47,322 - mmseg - INFO - Exp name: ablation_segformer_mit_b2_segformer_head_unet_fc_small_multi_step_ade_pretrained_freeze_embed_160k_ade20k151_finetune_ema_t20.py +2023-03-04 09:08:47,322 - mmseg - INFO - Iter [135000/160000] lr: 3.750e-05, eta: 1:28:24, time: 0.196, data_time: 0.007, memory: 59439, decode.loss_ce: 0.1883, decode.acc_seg: 92.3603, loss: 0.1883 +2023-03-04 09:08:59,582 - mmseg - INFO - Iter [135050/160000] lr: 3.750e-05, eta: 1:28:14, time: 0.245, data_time: 0.058, memory: 59439, decode.loss_ce: 0.1793, decode.acc_seg: 92.5491, loss: 0.1793 +2023-03-04 09:09:09,137 - mmseg - INFO - Iter [135100/160000] lr: 3.750e-05, eta: 1:28:03, time: 0.191, data_time: 0.007, memory: 59439, decode.loss_ce: 0.1871, decode.acc_seg: 92.3619, loss: 0.1871 +2023-03-04 09:09:18,874 - mmseg - INFO - Iter [135150/160000] lr: 3.750e-05, eta: 1:27:52, time: 0.194, data_time: 0.007, memory: 59439, decode.loss_ce: 0.1753, decode.acc_seg: 92.7433, loss: 0.1753 +2023-03-04 09:09:28,468 - mmseg - INFO - Iter [135200/160000] lr: 3.750e-05, eta: 1:27:41, time: 0.192, data_time: 0.008, memory: 59439, decode.loss_ce: 0.1833, decode.acc_seg: 92.5666, loss: 0.1833 +2023-03-04 09:09:38,058 - mmseg - INFO - Iter [135250/160000] lr: 3.750e-05, eta: 1:27:31, time: 0.192, data_time: 0.008, memory: 59439, decode.loss_ce: 0.1904, decode.acc_seg: 92.0485, loss: 0.1904 +2023-03-04 09:09:47,670 - mmseg - INFO - Iter [135300/160000] lr: 3.750e-05, eta: 1:27:20, time: 0.192, data_time: 0.008, memory: 59439, decode.loss_ce: 0.1883, decode.acc_seg: 92.2053, loss: 0.1883 +2023-03-04 09:09:57,260 - mmseg - INFO - Iter [135350/160000] lr: 3.750e-05, eta: 1:27:09, time: 0.192, data_time: 0.007, memory: 59439, decode.loss_ce: 0.1877, decode.acc_seg: 92.5474, loss: 0.1877 +2023-03-04 09:10:07,200 - mmseg - INFO - Iter [135400/160000] lr: 3.750e-05, eta: 1:26:58, time: 0.199, data_time: 0.008, memory: 59439, decode.loss_ce: 0.1873, decode.acc_seg: 92.2990, loss: 0.1873 +2023-03-04 09:10:16,962 - mmseg - INFO - Iter [135450/160000] lr: 3.750e-05, eta: 1:26:47, time: 0.195, data_time: 0.008, memory: 59439, decode.loss_ce: 0.1781, decode.acc_seg: 92.5298, loss: 0.1781 +2023-03-04 09:10:26,855 - mmseg - INFO - Iter [135500/160000] lr: 3.750e-05, eta: 1:26:37, time: 0.198, data_time: 0.008, memory: 59439, decode.loss_ce: 0.1836, decode.acc_seg: 92.4287, loss: 0.1836 +2023-03-04 09:10:36,385 - mmseg - INFO - Iter [135550/160000] lr: 3.750e-05, eta: 1:26:26, time: 0.191, data_time: 0.007, memory: 59439, decode.loss_ce: 0.1879, decode.acc_seg: 92.2107, loss: 0.1879 +2023-03-04 09:10:46,190 - mmseg - INFO - Iter [135600/160000] lr: 3.750e-05, eta: 1:26:15, time: 0.196, data_time: 0.007, memory: 59439, decode.loss_ce: 0.1856, decode.acc_seg: 92.4196, loss: 0.1856 +2023-03-04 09:10:55,823 - mmseg - INFO - Iter [135650/160000] lr: 3.750e-05, eta: 1:26:04, time: 0.193, data_time: 0.008, memory: 59439, decode.loss_ce: 0.1839, decode.acc_seg: 92.2571, loss: 0.1839 +2023-03-04 09:11:07,931 - mmseg - INFO - Iter [135700/160000] lr: 3.750e-05, eta: 1:25:54, time: 0.242, data_time: 0.056, memory: 59439, decode.loss_ce: 0.1880, decode.acc_seg: 92.3951, loss: 0.1880 +2023-03-04 09:11:17,804 - mmseg - INFO - Iter [135750/160000] lr: 3.750e-05, eta: 1:25:43, time: 0.197, data_time: 0.007, memory: 59439, decode.loss_ce: 0.1923, decode.acc_seg: 92.1034, loss: 0.1923 +2023-03-04 09:11:27,636 - mmseg - INFO - Iter [135800/160000] lr: 3.750e-05, eta: 1:25:33, time: 0.197, data_time: 0.007, memory: 59439, decode.loss_ce: 0.1869, decode.acc_seg: 92.3667, loss: 0.1869 +2023-03-04 09:11:37,379 - mmseg - INFO - Iter [135850/160000] lr: 3.750e-05, eta: 1:25:22, time: 0.195, data_time: 0.007, memory: 59439, decode.loss_ce: 0.1903, decode.acc_seg: 92.1421, loss: 0.1903 +2023-03-04 09:11:47,335 - mmseg - INFO - Iter [135900/160000] lr: 3.750e-05, eta: 1:25:11, time: 0.199, data_time: 0.008, memory: 59439, decode.loss_ce: 0.1849, decode.acc_seg: 92.2259, loss: 0.1849 +2023-03-04 09:11:56,966 - mmseg - INFO - Iter [135950/160000] lr: 3.750e-05, eta: 1:25:00, time: 0.193, data_time: 0.007, memory: 59439, decode.loss_ce: 0.1765, decode.acc_seg: 92.6759, loss: 0.1765 +2023-03-04 09:12:06,710 - mmseg - INFO - Exp name: ablation_segformer_mit_b2_segformer_head_unet_fc_small_multi_step_ade_pretrained_freeze_embed_160k_ade20k151_finetune_ema_t20.py +2023-03-04 09:12:06,710 - mmseg - INFO - Iter [136000/160000] lr: 3.750e-05, eta: 1:24:50, time: 0.195, data_time: 0.008, memory: 59439, decode.loss_ce: 0.1871, decode.acc_seg: 92.4310, loss: 0.1871 +2023-03-04 09:12:16,371 - mmseg - INFO - Iter [136050/160000] lr: 3.750e-05, eta: 1:24:39, time: 0.193, data_time: 0.008, memory: 59439, decode.loss_ce: 0.1823, decode.acc_seg: 92.5635, loss: 0.1823 +2023-03-04 09:12:26,111 - mmseg - INFO - Iter [136100/160000] lr: 3.750e-05, eta: 1:24:28, time: 0.195, data_time: 0.007, memory: 59439, decode.loss_ce: 0.1908, decode.acc_seg: 92.1068, loss: 0.1908 +2023-03-04 09:12:35,798 - mmseg - INFO - Iter [136150/160000] lr: 3.750e-05, eta: 1:24:17, time: 0.194, data_time: 0.008, memory: 59439, decode.loss_ce: 0.1810, decode.acc_seg: 92.4616, loss: 0.1810 +2023-03-04 09:12:45,454 - mmseg - INFO - Iter [136200/160000] lr: 3.750e-05, eta: 1:24:07, time: 0.193, data_time: 0.007, memory: 59439, decode.loss_ce: 0.1892, decode.acc_seg: 92.3914, loss: 0.1892 +2023-03-04 09:12:55,141 - mmseg - INFO - Iter [136250/160000] lr: 3.750e-05, eta: 1:23:56, time: 0.194, data_time: 0.008, memory: 59439, decode.loss_ce: 0.1970, decode.acc_seg: 92.1795, loss: 0.1970 +2023-03-04 09:13:07,336 - mmseg - INFO - Iter [136300/160000] lr: 3.750e-05, eta: 1:23:45, time: 0.244, data_time: 0.055, memory: 59439, decode.loss_ce: 0.1879, decode.acc_seg: 92.2708, loss: 0.1879 +2023-03-04 09:13:16,849 - mmseg - INFO - Iter [136350/160000] lr: 3.750e-05, eta: 1:23:35, time: 0.190, data_time: 0.007, memory: 59439, decode.loss_ce: 0.1833, decode.acc_seg: 92.3872, loss: 0.1833 +2023-03-04 09:13:26,519 - mmseg - INFO - Iter [136400/160000] lr: 3.750e-05, eta: 1:23:24, time: 0.193, data_time: 0.007, memory: 59439, decode.loss_ce: 0.1866, decode.acc_seg: 92.4170, loss: 0.1866 +2023-03-04 09:13:36,123 - mmseg - INFO - Iter [136450/160000] lr: 3.750e-05, eta: 1:23:13, time: 0.192, data_time: 0.007, memory: 59439, decode.loss_ce: 0.1823, decode.acc_seg: 92.5827, loss: 0.1823 +2023-03-04 09:13:45,741 - mmseg - INFO - Iter [136500/160000] lr: 3.750e-05, eta: 1:23:02, time: 0.192, data_time: 0.007, memory: 59439, decode.loss_ce: 0.1841, decode.acc_seg: 92.5344, loss: 0.1841 +2023-03-04 09:13:55,515 - mmseg - INFO - Iter [136550/160000] lr: 3.750e-05, eta: 1:22:52, time: 0.195, data_time: 0.008, memory: 59439, decode.loss_ce: 0.1959, decode.acc_seg: 92.0521, loss: 0.1959 +2023-03-04 09:14:05,044 - mmseg - INFO - Iter [136600/160000] lr: 3.750e-05, eta: 1:22:41, time: 0.191, data_time: 0.008, memory: 59439, decode.loss_ce: 0.1945, decode.acc_seg: 92.0773, loss: 0.1945 +2023-03-04 09:14:14,705 - mmseg - INFO - Iter [136650/160000] lr: 3.750e-05, eta: 1:22:30, time: 0.193, data_time: 0.008, memory: 59439, decode.loss_ce: 0.1859, decode.acc_seg: 92.3317, loss: 0.1859 +2023-03-04 09:14:24,703 - mmseg - INFO - Iter [136700/160000] lr: 3.750e-05, eta: 1:22:19, time: 0.200, data_time: 0.008, memory: 59439, decode.loss_ce: 0.1779, decode.acc_seg: 92.5858, loss: 0.1779 +2023-03-04 09:14:34,390 - mmseg - INFO - Iter [136750/160000] lr: 3.750e-05, eta: 1:22:09, time: 0.194, data_time: 0.007, memory: 59439, decode.loss_ce: 0.1842, decode.acc_seg: 92.4463, loss: 0.1842 +2023-03-04 09:14:44,241 - mmseg - INFO - Iter [136800/160000] lr: 3.750e-05, eta: 1:21:58, time: 0.197, data_time: 0.007, memory: 59439, decode.loss_ce: 0.1877, decode.acc_seg: 92.2977, loss: 0.1877 +2023-03-04 09:14:53,887 - mmseg - INFO - Iter [136850/160000] lr: 3.750e-05, eta: 1:21:47, time: 0.193, data_time: 0.007, memory: 59439, decode.loss_ce: 0.1900, decode.acc_seg: 92.2028, loss: 0.1900 +2023-03-04 09:15:03,431 - mmseg - INFO - Iter [136900/160000] lr: 3.750e-05, eta: 1:21:36, time: 0.191, data_time: 0.008, memory: 59439, decode.loss_ce: 0.1938, decode.acc_seg: 92.1551, loss: 0.1938 +2023-03-04 09:15:16,150 - mmseg - INFO - Iter [136950/160000] lr: 3.750e-05, eta: 1:21:26, time: 0.254, data_time: 0.054, memory: 59439, decode.loss_ce: 0.1883, decode.acc_seg: 92.3197, loss: 0.1883 +2023-03-04 09:15:26,052 - mmseg - INFO - Exp name: ablation_segformer_mit_b2_segformer_head_unet_fc_small_multi_step_ade_pretrained_freeze_embed_160k_ade20k151_finetune_ema_t20.py +2023-03-04 09:15:26,052 - mmseg - INFO - Iter [137000/160000] lr: 3.750e-05, eta: 1:21:15, time: 0.198, data_time: 0.008, memory: 59439, decode.loss_ce: 0.1856, decode.acc_seg: 92.3296, loss: 0.1856 +2023-03-04 09:15:35,642 - mmseg - INFO - Iter [137050/160000] lr: 3.750e-05, eta: 1:21:05, time: 0.192, data_time: 0.008, memory: 59439, decode.loss_ce: 0.1876, decode.acc_seg: 92.4282, loss: 0.1876 +2023-03-04 09:15:45,359 - mmseg - INFO - Iter [137100/160000] lr: 3.750e-05, eta: 1:20:54, time: 0.194, data_time: 0.008, memory: 59439, decode.loss_ce: 0.1823, decode.acc_seg: 92.5192, loss: 0.1823 +2023-03-04 09:15:54,957 - mmseg - INFO - Iter [137150/160000] lr: 3.750e-05, eta: 1:20:43, time: 0.192, data_time: 0.008, memory: 59439, decode.loss_ce: 0.1870, decode.acc_seg: 92.1518, loss: 0.1870 +2023-03-04 09:16:04,728 - mmseg - INFO - Iter [137200/160000] lr: 3.750e-05, eta: 1:20:32, time: 0.195, data_time: 0.008, memory: 59439, decode.loss_ce: 0.1789, decode.acc_seg: 92.6547, loss: 0.1789 +2023-03-04 09:16:14,630 - mmseg - INFO - Iter [137250/160000] lr: 3.750e-05, eta: 1:20:22, time: 0.198, data_time: 0.007, memory: 59439, decode.loss_ce: 0.1815, decode.acc_seg: 92.4389, loss: 0.1815 +2023-03-04 09:16:24,381 - mmseg - INFO - Iter [137300/160000] lr: 3.750e-05, eta: 1:20:11, time: 0.195, data_time: 0.008, memory: 59439, decode.loss_ce: 0.1802, decode.acc_seg: 92.5750, loss: 0.1802 +2023-03-04 09:16:34,084 - mmseg - INFO - Iter [137350/160000] lr: 3.750e-05, eta: 1:20:00, time: 0.194, data_time: 0.008, memory: 59439, decode.loss_ce: 0.1925, decode.acc_seg: 92.0192, loss: 0.1925 +2023-03-04 09:16:43,810 - mmseg - INFO - Iter [137400/160000] lr: 3.750e-05, eta: 1:19:49, time: 0.195, data_time: 0.007, memory: 59439, decode.loss_ce: 0.1892, decode.acc_seg: 92.1009, loss: 0.1892 +2023-03-04 09:16:53,359 - mmseg - INFO - Iter [137450/160000] lr: 3.750e-05, eta: 1:19:39, time: 0.191, data_time: 0.007, memory: 59439, decode.loss_ce: 0.1823, decode.acc_seg: 92.5017, loss: 0.1823 +2023-03-04 09:17:03,624 - mmseg - INFO - Iter [137500/160000] lr: 3.750e-05, eta: 1:19:28, time: 0.205, data_time: 0.007, memory: 59439, decode.loss_ce: 0.1763, decode.acc_seg: 92.6909, loss: 0.1763 +2023-03-04 09:17:13,172 - mmseg - INFO - Iter [137550/160000] lr: 3.750e-05, eta: 1:19:17, time: 0.191, data_time: 0.007, memory: 59439, decode.loss_ce: 0.1943, decode.acc_seg: 92.1332, loss: 0.1943 +2023-03-04 09:17:25,509 - mmseg - INFO - Iter [137600/160000] lr: 3.750e-05, eta: 1:19:07, time: 0.247, data_time: 0.056, memory: 59439, decode.loss_ce: 0.1849, decode.acc_seg: 92.2493, loss: 0.1849 +2023-03-04 09:17:35,446 - mmseg - INFO - Iter [137650/160000] lr: 3.750e-05, eta: 1:18:56, time: 0.199, data_time: 0.008, memory: 59439, decode.loss_ce: 0.1896, decode.acc_seg: 92.2569, loss: 0.1896 +2023-03-04 09:17:45,210 - mmseg - INFO - Iter [137700/160000] lr: 3.750e-05, eta: 1:18:45, time: 0.195, data_time: 0.008, memory: 59439, decode.loss_ce: 0.1874, decode.acc_seg: 92.1971, loss: 0.1874 +2023-03-04 09:17:54,897 - mmseg - INFO - Iter [137750/160000] lr: 3.750e-05, eta: 1:18:35, time: 0.194, data_time: 0.008, memory: 59439, decode.loss_ce: 0.1785, decode.acc_seg: 92.5376, loss: 0.1785 +2023-03-04 09:18:04,592 - mmseg - INFO - Iter [137800/160000] lr: 3.750e-05, eta: 1:18:24, time: 0.194, data_time: 0.008, memory: 59439, decode.loss_ce: 0.1850, decode.acc_seg: 92.3628, loss: 0.1850 +2023-03-04 09:18:14,199 - mmseg - INFO - Iter [137850/160000] lr: 3.750e-05, eta: 1:18:13, time: 0.192, data_time: 0.008, memory: 59439, decode.loss_ce: 0.1827, decode.acc_seg: 92.4403, loss: 0.1827 +2023-03-04 09:18:24,372 - mmseg - INFO - Iter [137900/160000] lr: 3.750e-05, eta: 1:18:03, time: 0.203, data_time: 0.007, memory: 59439, decode.loss_ce: 0.1905, decode.acc_seg: 92.1251, loss: 0.1905 +2023-03-04 09:18:34,213 - mmseg - INFO - Iter [137950/160000] lr: 3.750e-05, eta: 1:17:52, time: 0.197, data_time: 0.007, memory: 59439, decode.loss_ce: 0.1876, decode.acc_seg: 92.3829, loss: 0.1876 +2023-03-04 09:18:43,748 - mmseg - INFO - Exp name: ablation_segformer_mit_b2_segformer_head_unet_fc_small_multi_step_ade_pretrained_freeze_embed_160k_ade20k151_finetune_ema_t20.py +2023-03-04 09:18:43,748 - mmseg - INFO - Iter [138000/160000] lr: 3.750e-05, eta: 1:17:41, time: 0.191, data_time: 0.008, memory: 59439, decode.loss_ce: 0.1860, decode.acc_seg: 92.3812, loss: 0.1860 +2023-03-04 09:18:53,308 - mmseg - INFO - Iter [138050/160000] lr: 3.750e-05, eta: 1:17:30, time: 0.191, data_time: 0.007, memory: 59439, decode.loss_ce: 0.1933, decode.acc_seg: 92.1759, loss: 0.1933 +2023-03-04 09:19:02,968 - mmseg - INFO - Iter [138100/160000] lr: 3.750e-05, eta: 1:17:20, time: 0.193, data_time: 0.008, memory: 59439, decode.loss_ce: 0.1907, decode.acc_seg: 92.2029, loss: 0.1907 +2023-03-04 09:19:12,528 - mmseg - INFO - Iter [138150/160000] lr: 3.750e-05, eta: 1:17:09, time: 0.191, data_time: 0.007, memory: 59439, decode.loss_ce: 0.1826, decode.acc_seg: 92.5612, loss: 0.1826 +2023-03-04 09:19:24,991 - mmseg - INFO - Iter [138200/160000] lr: 3.750e-05, eta: 1:16:59, time: 0.249, data_time: 0.055, memory: 59439, decode.loss_ce: 0.1878, decode.acc_seg: 92.3301, loss: 0.1878 +2023-03-04 09:19:34,692 - mmseg - INFO - Iter [138250/160000] lr: 3.750e-05, eta: 1:16:48, time: 0.194, data_time: 0.007, memory: 59439, decode.loss_ce: 0.1739, decode.acc_seg: 92.8286, loss: 0.1739 +2023-03-04 09:19:44,636 - mmseg - INFO - Iter [138300/160000] lr: 3.750e-05, eta: 1:16:37, time: 0.199, data_time: 0.007, memory: 59439, decode.loss_ce: 0.1788, decode.acc_seg: 92.6595, loss: 0.1788 +2023-03-04 09:19:54,476 - mmseg - INFO - Iter [138350/160000] lr: 3.750e-05, eta: 1:16:26, time: 0.197, data_time: 0.008, memory: 59439, decode.loss_ce: 0.1835, decode.acc_seg: 92.4667, loss: 0.1835 +2023-03-04 09:20:04,314 - mmseg - INFO - Iter [138400/160000] lr: 3.750e-05, eta: 1:16:16, time: 0.197, data_time: 0.008, memory: 59439, decode.loss_ce: 0.1862, decode.acc_seg: 92.3661, loss: 0.1862 +2023-03-04 09:20:13,910 - mmseg - INFO - Iter [138450/160000] lr: 3.750e-05, eta: 1:16:05, time: 0.192, data_time: 0.007, memory: 59439, decode.loss_ce: 0.1839, decode.acc_seg: 92.4944, loss: 0.1839 +2023-03-04 09:20:23,761 - mmseg - INFO - Iter [138500/160000] lr: 3.750e-05, eta: 1:15:54, time: 0.197, data_time: 0.007, memory: 59439, decode.loss_ce: 0.1877, decode.acc_seg: 92.2056, loss: 0.1877 +2023-03-04 09:20:33,493 - mmseg - INFO - Iter [138550/160000] lr: 3.750e-05, eta: 1:15:43, time: 0.195, data_time: 0.008, memory: 59439, decode.loss_ce: 0.1847, decode.acc_seg: 92.3402, loss: 0.1847 +2023-03-04 09:20:43,058 - mmseg - INFO - Iter [138600/160000] lr: 3.750e-05, eta: 1:15:33, time: 0.191, data_time: 0.008, memory: 59439, decode.loss_ce: 0.1906, decode.acc_seg: 92.1410, loss: 0.1906 +2023-03-04 09:20:52,745 - mmseg - INFO - Iter [138650/160000] lr: 3.750e-05, eta: 1:15:22, time: 0.194, data_time: 0.008, memory: 59439, decode.loss_ce: 0.2012, decode.acc_seg: 91.6938, loss: 0.2012 +2023-03-04 09:21:02,332 - mmseg - INFO - Iter [138700/160000] lr: 3.750e-05, eta: 1:15:11, time: 0.192, data_time: 0.008, memory: 59439, decode.loss_ce: 0.1847, decode.acc_seg: 92.4019, loss: 0.1847 +2023-03-04 09:21:11,939 - mmseg - INFO - Iter [138750/160000] lr: 3.750e-05, eta: 1:15:01, time: 0.192, data_time: 0.008, memory: 59439, decode.loss_ce: 0.1895, decode.acc_seg: 92.3982, loss: 0.1895 +2023-03-04 09:21:21,671 - mmseg - INFO - Iter [138800/160000] lr: 3.750e-05, eta: 1:14:50, time: 0.195, data_time: 0.007, memory: 59439, decode.loss_ce: 0.1929, decode.acc_seg: 92.0394, loss: 0.1929 +2023-03-04 09:21:33,887 - mmseg - INFO - Iter [138850/160000] lr: 3.750e-05, eta: 1:14:39, time: 0.244, data_time: 0.054, memory: 59439, decode.loss_ce: 0.1866, decode.acc_seg: 92.3404, loss: 0.1866 +2023-03-04 09:21:43,483 - mmseg - INFO - Iter [138900/160000] lr: 3.750e-05, eta: 1:14:29, time: 0.192, data_time: 0.007, memory: 59439, decode.loss_ce: 0.1829, decode.acc_seg: 92.4047, loss: 0.1829 +2023-03-04 09:21:53,171 - mmseg - INFO - Iter [138950/160000] lr: 3.750e-05, eta: 1:14:18, time: 0.194, data_time: 0.008, memory: 59439, decode.loss_ce: 0.1885, decode.acc_seg: 92.2452, loss: 0.1885 +2023-03-04 09:22:02,860 - mmseg - INFO - Exp name: ablation_segformer_mit_b2_segformer_head_unet_fc_small_multi_step_ade_pretrained_freeze_embed_160k_ade20k151_finetune_ema_t20.py +2023-03-04 09:22:02,860 - mmseg - INFO - Iter [139000/160000] lr: 3.750e-05, eta: 1:14:07, time: 0.194, data_time: 0.008, memory: 59439, decode.loss_ce: 0.1828, decode.acc_seg: 92.5209, loss: 0.1828 +2023-03-04 09:22:12,779 - mmseg - INFO - Iter [139050/160000] lr: 3.750e-05, eta: 1:13:57, time: 0.198, data_time: 0.008, memory: 59439, decode.loss_ce: 0.1883, decode.acc_seg: 92.0533, loss: 0.1883 +2023-03-04 09:22:22,409 - mmseg - INFO - Iter [139100/160000] lr: 3.750e-05, eta: 1:13:46, time: 0.193, data_time: 0.008, memory: 59439, decode.loss_ce: 0.1864, decode.acc_seg: 92.2754, loss: 0.1864 +2023-03-04 09:22:32,160 - mmseg - INFO - Iter [139150/160000] lr: 3.750e-05, eta: 1:13:35, time: 0.195, data_time: 0.008, memory: 59439, decode.loss_ce: 0.1894, decode.acc_seg: 92.2997, loss: 0.1894 +2023-03-04 09:22:41,897 - mmseg - INFO - Iter [139200/160000] lr: 3.750e-05, eta: 1:13:24, time: 0.195, data_time: 0.008, memory: 59439, decode.loss_ce: 0.1863, decode.acc_seg: 92.3187, loss: 0.1863 +2023-03-04 09:22:51,421 - mmseg - INFO - Iter [139250/160000] lr: 3.750e-05, eta: 1:13:14, time: 0.190, data_time: 0.008, memory: 59439, decode.loss_ce: 0.1832, decode.acc_seg: 92.4922, loss: 0.1832 +2023-03-04 09:23:00,982 - mmseg - INFO - Iter [139300/160000] lr: 3.750e-05, eta: 1:13:03, time: 0.191, data_time: 0.008, memory: 59439, decode.loss_ce: 0.1812, decode.acc_seg: 92.4801, loss: 0.1812 +2023-03-04 09:23:10,732 - mmseg - INFO - Iter [139350/160000] lr: 3.750e-05, eta: 1:12:52, time: 0.195, data_time: 0.008, memory: 59439, decode.loss_ce: 0.1816, decode.acc_seg: 92.6697, loss: 0.1816 +2023-03-04 09:23:20,327 - mmseg - INFO - Iter [139400/160000] lr: 3.750e-05, eta: 1:12:41, time: 0.192, data_time: 0.008, memory: 59439, decode.loss_ce: 0.1825, decode.acc_seg: 92.4841, loss: 0.1825 +2023-03-04 09:23:29,982 - mmseg - INFO - Iter [139450/160000] lr: 3.750e-05, eta: 1:12:31, time: 0.193, data_time: 0.008, memory: 59439, decode.loss_ce: 0.1856, decode.acc_seg: 92.3422, loss: 0.1856 +2023-03-04 09:23:42,325 - mmseg - INFO - Iter [139500/160000] lr: 3.750e-05, eta: 1:12:20, time: 0.247, data_time: 0.054, memory: 59439, decode.loss_ce: 0.1852, decode.acc_seg: 92.3178, loss: 0.1852 +2023-03-04 09:23:52,200 - mmseg - INFO - Iter [139550/160000] lr: 3.750e-05, eta: 1:12:10, time: 0.197, data_time: 0.007, memory: 59439, decode.loss_ce: 0.1893, decode.acc_seg: 92.2170, loss: 0.1893 +2023-03-04 09:24:02,146 - mmseg - INFO - Iter [139600/160000] lr: 3.750e-05, eta: 1:11:59, time: 0.199, data_time: 0.007, memory: 59439, decode.loss_ce: 0.1800, decode.acc_seg: 92.5659, loss: 0.1800 +2023-03-04 09:24:11,683 - mmseg - INFO - Iter [139650/160000] lr: 3.750e-05, eta: 1:11:48, time: 0.191, data_time: 0.008, memory: 59439, decode.loss_ce: 0.1772, decode.acc_seg: 92.6811, loss: 0.1772 +2023-03-04 09:24:21,363 - mmseg - INFO - Iter [139700/160000] lr: 3.750e-05, eta: 1:11:38, time: 0.194, data_time: 0.008, memory: 59439, decode.loss_ce: 0.1921, decode.acc_seg: 92.0829, loss: 0.1921 +2023-03-04 09:24:31,386 - mmseg - INFO - Iter [139750/160000] lr: 3.750e-05, eta: 1:11:27, time: 0.200, data_time: 0.008, memory: 59439, decode.loss_ce: 0.1815, decode.acc_seg: 92.5955, loss: 0.1815 +2023-03-04 09:24:41,035 - mmseg - INFO - Iter [139800/160000] lr: 3.750e-05, eta: 1:11:16, time: 0.193, data_time: 0.008, memory: 59439, decode.loss_ce: 0.1744, decode.acc_seg: 92.7885, loss: 0.1744 +2023-03-04 09:24:50,645 - mmseg - INFO - Iter [139850/160000] lr: 3.750e-05, eta: 1:11:05, time: 0.192, data_time: 0.007, memory: 59439, decode.loss_ce: 0.1857, decode.acc_seg: 92.4764, loss: 0.1857 +2023-03-04 09:25:00,450 - mmseg - INFO - Iter [139900/160000] lr: 3.750e-05, eta: 1:10:55, time: 0.196, data_time: 0.007, memory: 59439, decode.loss_ce: 0.1759, decode.acc_seg: 92.7057, loss: 0.1759 +2023-03-04 09:25:10,033 - mmseg - INFO - Iter [139950/160000] lr: 3.750e-05, eta: 1:10:44, time: 0.192, data_time: 0.007, memory: 59439, decode.loss_ce: 0.1928, decode.acc_seg: 92.0430, loss: 0.1928 +2023-03-04 09:25:19,934 - mmseg - INFO - Exp name: ablation_segformer_mit_b2_segformer_head_unet_fc_small_multi_step_ade_pretrained_freeze_embed_160k_ade20k151_finetune_ema_t20.py +2023-03-04 09:25:19,934 - mmseg - INFO - Iter [140000/160000] lr: 3.750e-05, eta: 1:10:33, time: 0.198, data_time: 0.008, memory: 59439, decode.loss_ce: 0.1833, decode.acc_seg: 92.3686, loss: 0.1833 +2023-03-04 09:25:29,560 - mmseg - INFO - Iter [140050/160000] lr: 3.750e-05, eta: 1:10:23, time: 0.193, data_time: 0.007, memory: 59439, decode.loss_ce: 0.1771, decode.acc_seg: 92.5714, loss: 0.1771 +2023-03-04 09:25:41,863 - mmseg - INFO - Iter [140100/160000] lr: 3.750e-05, eta: 1:10:12, time: 0.246, data_time: 0.052, memory: 59439, decode.loss_ce: 0.1919, decode.acc_seg: 92.2549, loss: 0.1919 +2023-03-04 09:25:51,594 - mmseg - INFO - Iter [140150/160000] lr: 3.750e-05, eta: 1:10:02, time: 0.195, data_time: 0.007, memory: 59439, decode.loss_ce: 0.1863, decode.acc_seg: 92.3879, loss: 0.1863 +2023-03-04 09:26:01,453 - mmseg - INFO - Iter [140200/160000] lr: 3.750e-05, eta: 1:09:51, time: 0.197, data_time: 0.007, memory: 59439, decode.loss_ce: 0.1844, decode.acc_seg: 92.4222, loss: 0.1844 +2023-03-04 09:26:11,134 - mmseg - INFO - Iter [140250/160000] lr: 3.750e-05, eta: 1:09:40, time: 0.194, data_time: 0.008, memory: 59439, decode.loss_ce: 0.1844, decode.acc_seg: 92.4288, loss: 0.1844 +2023-03-04 09:26:20,746 - mmseg - INFO - Iter [140300/160000] lr: 3.750e-05, eta: 1:09:29, time: 0.192, data_time: 0.008, memory: 59439, decode.loss_ce: 0.1909, decode.acc_seg: 92.2889, loss: 0.1909 +2023-03-04 09:26:30,590 - mmseg - INFO - Iter [140350/160000] lr: 3.750e-05, eta: 1:09:19, time: 0.197, data_time: 0.007, memory: 59439, decode.loss_ce: 0.1892, decode.acc_seg: 92.1539, loss: 0.1892 +2023-03-04 09:26:40,292 - mmseg - INFO - Iter [140400/160000] lr: 3.750e-05, eta: 1:09:08, time: 0.194, data_time: 0.007, memory: 59439, decode.loss_ce: 0.1800, decode.acc_seg: 92.5974, loss: 0.1800 +2023-03-04 09:26:50,032 - mmseg - INFO - Iter [140450/160000] lr: 3.750e-05, eta: 1:08:57, time: 0.195, data_time: 0.008, memory: 59439, decode.loss_ce: 0.1861, decode.acc_seg: 92.3891, loss: 0.1861 +2023-03-04 09:26:59,647 - mmseg - INFO - Iter [140500/160000] lr: 3.750e-05, eta: 1:08:47, time: 0.192, data_time: 0.007, memory: 59439, decode.loss_ce: 0.1954, decode.acc_seg: 91.9967, loss: 0.1954 +2023-03-04 09:27:09,415 - mmseg - INFO - Iter [140550/160000] lr: 3.750e-05, eta: 1:08:36, time: 0.195, data_time: 0.007, memory: 59439, decode.loss_ce: 0.1847, decode.acc_seg: 92.3668, loss: 0.1847 +2023-03-04 09:27:19,241 - mmseg - INFO - Iter [140600/160000] lr: 3.750e-05, eta: 1:08:25, time: 0.196, data_time: 0.008, memory: 59439, decode.loss_ce: 0.1887, decode.acc_seg: 92.2621, loss: 0.1887 +2023-03-04 09:27:28,850 - mmseg - INFO - Iter [140650/160000] lr: 3.750e-05, eta: 1:08:15, time: 0.192, data_time: 0.008, memory: 59439, decode.loss_ce: 0.1873, decode.acc_seg: 92.2784, loss: 0.1873 +2023-03-04 09:27:38,660 - mmseg - INFO - Iter [140700/160000] lr: 3.750e-05, eta: 1:08:04, time: 0.196, data_time: 0.008, memory: 59439, decode.loss_ce: 0.1874, decode.acc_seg: 92.2141, loss: 0.1874 +2023-03-04 09:27:51,101 - mmseg - INFO - Iter [140750/160000] lr: 3.750e-05, eta: 1:07:54, time: 0.249, data_time: 0.055, memory: 59439, decode.loss_ce: 0.1772, decode.acc_seg: 92.7225, loss: 0.1772 +2023-03-04 09:28:00,974 - mmseg - INFO - Iter [140800/160000] lr: 3.750e-05, eta: 1:07:43, time: 0.197, data_time: 0.007, memory: 59439, decode.loss_ce: 0.1819, decode.acc_seg: 92.4744, loss: 0.1819 +2023-03-04 09:28:10,767 - mmseg - INFO - Iter [140850/160000] lr: 3.750e-05, eta: 1:07:32, time: 0.196, data_time: 0.007, memory: 59439, decode.loss_ce: 0.1809, decode.acc_seg: 92.4855, loss: 0.1809 +2023-03-04 09:28:20,466 - mmseg - INFO - Iter [140900/160000] lr: 3.750e-05, eta: 1:07:21, time: 0.194, data_time: 0.008, memory: 59439, decode.loss_ce: 0.1849, decode.acc_seg: 92.3575, loss: 0.1849 +2023-03-04 09:28:30,437 - mmseg - INFO - Iter [140950/160000] lr: 3.750e-05, eta: 1:07:11, time: 0.199, data_time: 0.007, memory: 59439, decode.loss_ce: 0.1842, decode.acc_seg: 92.4564, loss: 0.1842 +2023-03-04 09:28:40,068 - mmseg - INFO - Exp name: ablation_segformer_mit_b2_segformer_head_unet_fc_small_multi_step_ade_pretrained_freeze_embed_160k_ade20k151_finetune_ema_t20.py +2023-03-04 09:28:40,068 - mmseg - INFO - Iter [141000/160000] lr: 3.750e-05, eta: 1:07:00, time: 0.193, data_time: 0.008, memory: 59439, decode.loss_ce: 0.1917, decode.acc_seg: 92.2162, loss: 0.1917 +2023-03-04 09:28:49,738 - mmseg - INFO - Iter [141050/160000] lr: 3.750e-05, eta: 1:06:49, time: 0.193, data_time: 0.007, memory: 59439, decode.loss_ce: 0.1854, decode.acc_seg: 92.4249, loss: 0.1854 +2023-03-04 09:28:59,602 - mmseg - INFO - Iter [141100/160000] lr: 3.750e-05, eta: 1:06:39, time: 0.197, data_time: 0.008, memory: 59439, decode.loss_ce: 0.1850, decode.acc_seg: 92.3870, loss: 0.1850 +2023-03-04 09:29:09,456 - mmseg - INFO - Iter [141150/160000] lr: 3.750e-05, eta: 1:06:28, time: 0.197, data_time: 0.007, memory: 59439, decode.loss_ce: 0.1811, decode.acc_seg: 92.5308, loss: 0.1811 +2023-03-04 09:29:19,108 - mmseg - INFO - Iter [141200/160000] lr: 3.750e-05, eta: 1:06:17, time: 0.193, data_time: 0.008, memory: 59439, decode.loss_ce: 0.1935, decode.acc_seg: 92.0149, loss: 0.1935 +2023-03-04 09:29:29,115 - mmseg - INFO - Iter [141250/160000] lr: 3.750e-05, eta: 1:06:07, time: 0.200, data_time: 0.008, memory: 59439, decode.loss_ce: 0.1869, decode.acc_seg: 92.2619, loss: 0.1869 +2023-03-04 09:29:39,040 - mmseg - INFO - Iter [141300/160000] lr: 3.750e-05, eta: 1:05:56, time: 0.199, data_time: 0.008, memory: 59439, decode.loss_ce: 0.1816, decode.acc_seg: 92.4704, loss: 0.1816 +2023-03-04 09:29:50,983 - mmseg - INFO - Iter [141350/160000] lr: 3.750e-05, eta: 1:05:46, time: 0.239, data_time: 0.056, memory: 59439, decode.loss_ce: 0.1845, decode.acc_seg: 92.4072, loss: 0.1845 +2023-03-04 09:30:00,598 - mmseg - INFO - Iter [141400/160000] lr: 3.750e-05, eta: 1:05:35, time: 0.192, data_time: 0.008, memory: 59439, decode.loss_ce: 0.1857, decode.acc_seg: 92.4235, loss: 0.1857 +2023-03-04 09:30:10,246 - mmseg - INFO - Iter [141450/160000] lr: 3.750e-05, eta: 1:05:24, time: 0.193, data_time: 0.007, memory: 59439, decode.loss_ce: 0.1821, decode.acc_seg: 92.4058, loss: 0.1821 +2023-03-04 09:30:20,022 - mmseg - INFO - Iter [141500/160000] lr: 3.750e-05, eta: 1:05:14, time: 0.196, data_time: 0.007, memory: 59439, decode.loss_ce: 0.1859, decode.acc_seg: 92.4118, loss: 0.1859 +2023-03-04 09:30:29,934 - mmseg - INFO - Iter [141550/160000] lr: 3.750e-05, eta: 1:05:03, time: 0.198, data_time: 0.008, memory: 59439, decode.loss_ce: 0.1864, decode.acc_seg: 92.3469, loss: 0.1864 +2023-03-04 09:30:39,685 - mmseg - INFO - Iter [141600/160000] lr: 3.750e-05, eta: 1:04:52, time: 0.195, data_time: 0.008, memory: 59439, decode.loss_ce: 0.1910, decode.acc_seg: 92.2763, loss: 0.1910 +2023-03-04 09:30:49,382 - mmseg - INFO - Iter [141650/160000] lr: 3.750e-05, eta: 1:04:41, time: 0.194, data_time: 0.007, memory: 59439, decode.loss_ce: 0.1830, decode.acc_seg: 92.4886, loss: 0.1830 +2023-03-04 09:30:58,997 - mmseg - INFO - Iter [141700/160000] lr: 3.750e-05, eta: 1:04:31, time: 0.192, data_time: 0.007, memory: 59439, decode.loss_ce: 0.1948, decode.acc_seg: 92.1604, loss: 0.1948 +2023-03-04 09:31:08,636 - mmseg - INFO - Iter [141750/160000] lr: 3.750e-05, eta: 1:04:20, time: 0.193, data_time: 0.008, memory: 59439, decode.loss_ce: 0.1798, decode.acc_seg: 92.5374, loss: 0.1798 +2023-03-04 09:31:18,245 - mmseg - INFO - Iter [141800/160000] lr: 3.750e-05, eta: 1:04:09, time: 0.192, data_time: 0.008, memory: 59439, decode.loss_ce: 0.1973, decode.acc_seg: 92.1142, loss: 0.1973 +2023-03-04 09:31:27,872 - mmseg - INFO - Iter [141850/160000] lr: 3.750e-05, eta: 1:03:59, time: 0.193, data_time: 0.008, memory: 59439, decode.loss_ce: 0.1846, decode.acc_seg: 92.4527, loss: 0.1846 +2023-03-04 09:31:37,589 - mmseg - INFO - Iter [141900/160000] lr: 3.750e-05, eta: 1:03:48, time: 0.194, data_time: 0.008, memory: 59439, decode.loss_ce: 0.1847, decode.acc_seg: 92.3627, loss: 0.1847 +2023-03-04 09:31:47,326 - mmseg - INFO - Iter [141950/160000] lr: 3.750e-05, eta: 1:03:37, time: 0.195, data_time: 0.007, memory: 59439, decode.loss_ce: 0.1893, decode.acc_seg: 92.3204, loss: 0.1893 +2023-03-04 09:31:59,404 - mmseg - INFO - Exp name: ablation_segformer_mit_b2_segformer_head_unet_fc_small_multi_step_ade_pretrained_freeze_embed_160k_ade20k151_finetune_ema_t20.py +2023-03-04 09:31:59,404 - mmseg - INFO - Iter [142000/160000] lr: 3.750e-05, eta: 1:03:27, time: 0.241, data_time: 0.055, memory: 59439, decode.loss_ce: 0.1820, decode.acc_seg: 92.5898, loss: 0.1820 +2023-03-04 09:32:09,341 - mmseg - INFO - Iter [142050/160000] lr: 3.750e-05, eta: 1:03:16, time: 0.199, data_time: 0.007, memory: 59439, decode.loss_ce: 0.1822, decode.acc_seg: 92.5706, loss: 0.1822 +2023-03-04 09:32:19,058 - mmseg - INFO - Iter [142100/160000] lr: 3.750e-05, eta: 1:03:06, time: 0.194, data_time: 0.007, memory: 59439, decode.loss_ce: 0.1866, decode.acc_seg: 92.2193, loss: 0.1866 +2023-03-04 09:32:28,629 - mmseg - INFO - Iter [142150/160000] lr: 3.750e-05, eta: 1:02:55, time: 0.191, data_time: 0.007, memory: 59439, decode.loss_ce: 0.1836, decode.acc_seg: 92.4237, loss: 0.1836 +2023-03-04 09:32:38,755 - mmseg - INFO - Iter [142200/160000] lr: 3.750e-05, eta: 1:02:44, time: 0.202, data_time: 0.007, memory: 59439, decode.loss_ce: 0.1843, decode.acc_seg: 92.3860, loss: 0.1843 +2023-03-04 09:32:48,820 - mmseg - INFO - Iter [142250/160000] lr: 3.750e-05, eta: 1:02:34, time: 0.202, data_time: 0.007, memory: 59439, decode.loss_ce: 0.1825, decode.acc_seg: 92.5097, loss: 0.1825 +2023-03-04 09:32:58,499 - mmseg - INFO - Iter [142300/160000] lr: 3.750e-05, eta: 1:02:23, time: 0.194, data_time: 0.007, memory: 59439, decode.loss_ce: 0.1830, decode.acc_seg: 92.4379, loss: 0.1830 +2023-03-04 09:33:08,376 - mmseg - INFO - Iter [142350/160000] lr: 3.750e-05, eta: 1:02:12, time: 0.198, data_time: 0.007, memory: 59439, decode.loss_ce: 0.1842, decode.acc_seg: 92.5063, loss: 0.1842 +2023-03-04 09:33:18,264 - mmseg - INFO - Iter [142400/160000] lr: 3.750e-05, eta: 1:02:02, time: 0.198, data_time: 0.008, memory: 59439, decode.loss_ce: 0.1908, decode.acc_seg: 92.0711, loss: 0.1908 +2023-03-04 09:33:27,936 - mmseg - INFO - Iter [142450/160000] lr: 3.750e-05, eta: 1:01:51, time: 0.193, data_time: 0.008, memory: 59439, decode.loss_ce: 0.1819, decode.acc_seg: 92.3750, loss: 0.1819 +2023-03-04 09:33:37,696 - mmseg - INFO - Iter [142500/160000] lr: 3.750e-05, eta: 1:01:40, time: 0.195, data_time: 0.007, memory: 59439, decode.loss_ce: 0.1771, decode.acc_seg: 92.7271, loss: 0.1771 +2023-03-04 09:33:47,271 - mmseg - INFO - Iter [142550/160000] lr: 3.750e-05, eta: 1:01:30, time: 0.192, data_time: 0.008, memory: 59439, decode.loss_ce: 0.1871, decode.acc_seg: 92.3625, loss: 0.1871 +2023-03-04 09:33:56,898 - mmseg - INFO - Iter [142600/160000] lr: 3.750e-05, eta: 1:01:19, time: 0.193, data_time: 0.007, memory: 59439, decode.loss_ce: 0.1918, decode.acc_seg: 92.0627, loss: 0.1918 +2023-03-04 09:34:09,282 - mmseg - INFO - Iter [142650/160000] lr: 3.750e-05, eta: 1:01:09, time: 0.247, data_time: 0.057, memory: 59439, decode.loss_ce: 0.1883, decode.acc_seg: 92.2772, loss: 0.1883 +2023-03-04 09:34:19,152 - mmseg - INFO - Iter [142700/160000] lr: 3.750e-05, eta: 1:00:58, time: 0.198, data_time: 0.008, memory: 59439, decode.loss_ce: 0.1834, decode.acc_seg: 92.4736, loss: 0.1834 +2023-03-04 09:34:28,805 - mmseg - INFO - Iter [142750/160000] lr: 3.750e-05, eta: 1:00:47, time: 0.193, data_time: 0.007, memory: 59439, decode.loss_ce: 0.1907, decode.acc_seg: 92.1881, loss: 0.1907 +2023-03-04 09:34:38,646 - mmseg - INFO - Iter [142800/160000] lr: 3.750e-05, eta: 1:00:37, time: 0.197, data_time: 0.007, memory: 59439, decode.loss_ce: 0.1790, decode.acc_seg: 92.5387, loss: 0.1790 +2023-03-04 09:34:48,154 - mmseg - INFO - Iter [142850/160000] lr: 3.750e-05, eta: 1:00:26, time: 0.190, data_time: 0.008, memory: 59439, decode.loss_ce: 0.1919, decode.acc_seg: 92.1669, loss: 0.1919 +2023-03-04 09:34:57,995 - mmseg - INFO - Iter [142900/160000] lr: 3.750e-05, eta: 1:00:15, time: 0.197, data_time: 0.008, memory: 59439, decode.loss_ce: 0.1855, decode.acc_seg: 92.4762, loss: 0.1855 +2023-03-04 09:35:07,723 - mmseg - INFO - Iter [142950/160000] lr: 3.750e-05, eta: 1:00:04, time: 0.195, data_time: 0.007, memory: 59439, decode.loss_ce: 0.1958, decode.acc_seg: 91.9875, loss: 0.1958 +2023-03-04 09:35:17,677 - mmseg - INFO - Exp name: ablation_segformer_mit_b2_segformer_head_unet_fc_small_multi_step_ade_pretrained_freeze_embed_160k_ade20k151_finetune_ema_t20.py +2023-03-04 09:35:17,677 - mmseg - INFO - Iter [143000/160000] lr: 3.750e-05, eta: 0:59:54, time: 0.199, data_time: 0.007, memory: 59439, decode.loss_ce: 0.1872, decode.acc_seg: 92.2915, loss: 0.1872 +2023-03-04 09:35:27,341 - mmseg - INFO - Iter [143050/160000] lr: 3.750e-05, eta: 0:59:43, time: 0.193, data_time: 0.007, memory: 59439, decode.loss_ce: 0.1791, decode.acc_seg: 92.6824, loss: 0.1791 +2023-03-04 09:35:37,040 - mmseg - INFO - Iter [143100/160000] lr: 3.750e-05, eta: 0:59:32, time: 0.194, data_time: 0.008, memory: 59439, decode.loss_ce: 0.1842, decode.acc_seg: 92.3526, loss: 0.1842 +2023-03-04 09:35:46,965 - mmseg - INFO - Iter [143150/160000] lr: 3.750e-05, eta: 0:59:22, time: 0.198, data_time: 0.007, memory: 59439, decode.loss_ce: 0.1887, decode.acc_seg: 92.3241, loss: 0.1887 +2023-03-04 09:35:56,807 - mmseg - INFO - Iter [143200/160000] lr: 3.750e-05, eta: 0:59:11, time: 0.197, data_time: 0.008, memory: 59439, decode.loss_ce: 0.1800, decode.acc_seg: 92.6368, loss: 0.1800 +2023-03-04 09:36:09,380 - mmseg - INFO - Iter [143250/160000] lr: 3.750e-05, eta: 0:59:01, time: 0.251, data_time: 0.057, memory: 59439, decode.loss_ce: 0.1865, decode.acc_seg: 92.3567, loss: 0.1865 +2023-03-04 09:36:19,091 - mmseg - INFO - Iter [143300/160000] lr: 3.750e-05, eta: 0:58:50, time: 0.194, data_time: 0.007, memory: 59439, decode.loss_ce: 0.1876, decode.acc_seg: 92.3910, loss: 0.1876 +2023-03-04 09:36:28,810 - mmseg - INFO - Iter [143350/160000] lr: 3.750e-05, eta: 0:58:40, time: 0.194, data_time: 0.007, memory: 59439, decode.loss_ce: 0.1793, decode.acc_seg: 92.5591, loss: 0.1793 +2023-03-04 09:36:38,759 - mmseg - INFO - Iter [143400/160000] lr: 3.750e-05, eta: 0:58:29, time: 0.199, data_time: 0.007, memory: 59439, decode.loss_ce: 0.1802, decode.acc_seg: 92.5268, loss: 0.1802 +2023-03-04 09:36:48,570 - mmseg - INFO - Iter [143450/160000] lr: 3.750e-05, eta: 0:58:18, time: 0.196, data_time: 0.007, memory: 59439, decode.loss_ce: 0.1915, decode.acc_seg: 92.1783, loss: 0.1915 +2023-03-04 09:36:58,349 - mmseg - INFO - Iter [143500/160000] lr: 3.750e-05, eta: 0:58:08, time: 0.196, data_time: 0.007, memory: 59439, decode.loss_ce: 0.1894, decode.acc_seg: 92.2263, loss: 0.1894 +2023-03-04 09:37:07,926 - mmseg - INFO - Iter [143550/160000] lr: 3.750e-05, eta: 0:57:57, time: 0.192, data_time: 0.008, memory: 59439, decode.loss_ce: 0.1892, decode.acc_seg: 92.3167, loss: 0.1892 +2023-03-04 09:37:17,419 - mmseg - INFO - Iter [143600/160000] lr: 3.750e-05, eta: 0:57:46, time: 0.190, data_time: 0.008, memory: 59439, decode.loss_ce: 0.1836, decode.acc_seg: 92.4414, loss: 0.1836 +2023-03-04 09:37:27,060 - mmseg - INFO - Iter [143650/160000] lr: 3.750e-05, eta: 0:57:35, time: 0.193, data_time: 0.007, memory: 59439, decode.loss_ce: 0.1850, decode.acc_seg: 92.4861, loss: 0.1850 +2023-03-04 09:37:36,734 - mmseg - INFO - Iter [143700/160000] lr: 3.750e-05, eta: 0:57:25, time: 0.193, data_time: 0.007, memory: 59439, decode.loss_ce: 0.1891, decode.acc_seg: 92.3471, loss: 0.1891 +2023-03-04 09:37:46,326 - mmseg - INFO - Iter [143750/160000] lr: 3.750e-05, eta: 0:57:14, time: 0.192, data_time: 0.007, memory: 59439, decode.loss_ce: 0.1841, decode.acc_seg: 92.4566, loss: 0.1841 +2023-03-04 09:37:55,939 - mmseg - INFO - Iter [143800/160000] lr: 3.750e-05, eta: 0:57:03, time: 0.192, data_time: 0.008, memory: 59439, decode.loss_ce: 0.1833, decode.acc_seg: 92.3987, loss: 0.1833 +2023-03-04 09:38:05,467 - mmseg - INFO - Iter [143850/160000] lr: 3.750e-05, eta: 0:56:53, time: 0.191, data_time: 0.007, memory: 59439, decode.loss_ce: 0.1851, decode.acc_seg: 92.4764, loss: 0.1851 +2023-03-04 09:38:17,664 - mmseg - INFO - Iter [143900/160000] lr: 3.750e-05, eta: 0:56:42, time: 0.244, data_time: 0.055, memory: 59439, decode.loss_ce: 0.1930, decode.acc_seg: 92.1556, loss: 0.1930 +2023-03-04 09:38:27,230 - mmseg - INFO - Iter [143950/160000] lr: 3.750e-05, eta: 0:56:32, time: 0.191, data_time: 0.007, memory: 59439, decode.loss_ce: 0.1874, decode.acc_seg: 92.1996, loss: 0.1874 +2023-03-04 09:38:36,933 - mmseg - INFO - Swap parameters (after train) after iter [144000] +2023-03-04 09:38:36,946 - mmseg - INFO - Saving checkpoint at 144000 iterations +2023-03-04 09:38:38,021 - mmseg - INFO - Exp name: ablation_segformer_mit_b2_segformer_head_unet_fc_small_multi_step_ade_pretrained_freeze_embed_160k_ade20k151_finetune_ema_t20.py +2023-03-04 09:38:38,021 - mmseg - INFO - Iter [144000/160000] lr: 3.750e-05, eta: 0:56:21, time: 0.216, data_time: 0.007, memory: 59439, decode.loss_ce: 0.1828, decode.acc_seg: 92.5933, loss: 0.1828 +2023-03-04 09:42:10,480 - mmseg - INFO - per class results: +2023-03-04 09:42:10,493 - mmseg - INFO - ++---------------------+-------------------------------------------------------------------------------------------------------------------------+ +| Class | IoU 0,1,2,3,4,5,6,7,8,9,10,11,12,13,14,15,16,17,18,19 | ++---------------------+-------------------------------------------------------------------------------------------------------------------------+ +| background | nan,nan,nan,nan,nan,nan,nan,nan,nan,nan,nan,nan,nan,nan,nan,nan,nan,nan,nan,nan | +| wall | 77.52,77.55,77.56,77.57,77.59,77.6,77.62,77.63,77.63,77.65,77.65,77.67,77.66,77.69,77.67,77.69,77.68,77.69,77.68,77.7 | +| building | 81.64,81.64,81.65,81.65,81.67,81.66,81.67,81.66,81.67,81.67,81.68,81.67,81.68,81.67,81.68,81.67,81.69,81.67,81.69,81.67 | +| sky | 94.47,94.47,94.47,94.48,94.48,94.48,94.48,94.49,94.49,94.49,94.5,94.5,94.5,94.5,94.51,94.5,94.52,94.51,94.52,94.51 | +| floor | 81.76,81.77,81.77,81.8,81.8,81.81,81.81,81.84,81.83,81.85,81.83,81.86,81.84,81.88,81.86,81.88,81.87,81.89,81.89,81.9 | +| tree | 74.41,74.42,74.42,74.43,74.46,74.44,74.46,74.46,74.47,74.49,74.49,74.48,74.5,74.5,74.5,74.51,74.5,74.51,74.49,74.51 | +| ceiling | 85.27,85.3,85.3,85.32,85.34,85.34,85.36,85.37,85.38,85.4,85.39,85.42,85.39,85.43,85.41,85.43,85.42,85.44,85.43,85.44 | +| road | 82.17,82.23,82.23,82.22,82.24,82.25,82.26,82.29,82.24,82.31,82.27,82.32,82.26,82.32,82.27,82.32,82.28,82.33,82.29,82.34 | +| bed | 87.92,87.95,87.95,87.94,87.94,87.95,87.96,88.0,87.96,88.03,88.01,88.03,87.99,87.98,87.98,87.99,88.01,88.0,88.02,88.0 | +| windowpane | 60.9,60.88,60.9,60.93,60.95,60.98,60.98,60.99,61.0,61.03,61.03,61.03,60.99,61.04,61.0,61.04,60.98,61.03,60.97,61.01 | +| grass | 67.14,67.19,67.22,67.2,67.24,67.23,67.25,67.25,67.26,67.27,67.3,67.28,67.31,67.29,67.33,67.31,67.33,67.31,67.33,67.32 | +| cabinet | 61.65,61.7,61.78,61.85,61.87,61.93,61.9,61.95,62.0,62.11,62.11,62.12,62.14,62.14,62.17,62.14,62.2,62.17,62.21,62.17 | +| sidewalk | 64.45,64.44,64.4,64.43,64.42,64.44,64.42,64.44,64.38,64.46,64.43,64.48,64.4,64.45,64.42,64.44,64.41,64.45,64.43,64.47 | +| person | 79.94,79.96,79.99,79.99,79.99,80.03,80.0,80.04,80.01,80.05,80.04,80.05,80.04,80.06,80.04,80.05,80.03,80.05,80.04,80.04 | +| earth | 35.67,35.64,35.66,35.57,35.53,35.52,35.49,35.45,35.44,35.36,35.39,35.29,35.33,35.26,35.25,35.22,35.22,35.17,35.18,35.13 | +| door | 45.79,45.82,45.85,45.86,45.86,45.9,45.85,45.91,45.89,45.94,45.86,45.92,45.89,45.87,45.85,45.85,45.87,45.85,45.89,45.88 | +| table | 61.49,61.53,61.6,61.69,61.75,61.78,61.84,61.89,61.91,62.03,62.02,62.06,62.1,62.14,62.12,62.2,62.19,62.24,62.2,62.27 | +| mountain | 57.05,57.14,57.19,57.17,57.25,57.26,57.35,57.38,57.4,57.47,57.49,57.53,57.57,57.54,57.59,57.57,57.59,57.59,57.61,57.6 | +| plant | 49.84,49.83,49.84,49.82,49.77,49.77,49.74,49.76,49.73,49.72,49.71,49.67,49.68,49.69,49.66,49.68,49.65,49.66,49.6,49.66 | +| curtain | 74.48,74.49,74.54,74.54,74.57,74.61,74.7,74.76,74.79,74.83,74.84,74.9,74.87,74.92,74.91,74.96,74.94,74.98,74.96,75.0 | +| chair | 57.01,57.0,57.0,57.03,57.03,56.99,57.03,56.97,57.04,57.01,57.02,57.04,57.03,57.03,57.03,57.03,57.0,57.02,57.02,57.01 | +| car | 82.04,82.07,82.04,82.06,82.05,82.09,82.06,82.09,82.04,82.07,82.06,82.07,82.08,82.06,82.05,82.06,82.03,82.08,82.03,82.06 | +| water | 57.6,57.62,57.66,57.68,57.69,57.72,57.74,57.77,57.79,57.82,57.83,57.85,57.87,57.87,57.9,57.91,57.9,57.94,57.92,57.95 | +| painting | 70.6,70.62,70.54,70.63,70.54,70.6,70.55,70.48,70.48,70.35,70.44,70.31,70.39,70.27,70.37,70.25,70.34,70.23,70.27,70.23 | +| sofa | 65.29,65.25,65.29,65.33,65.29,65.32,65.26,65.33,65.27,65.39,65.3,65.4,65.38,65.41,65.35,65.36,65.33,65.29,65.32,65.25 | +| shelf | 44.78,44.79,44.83,44.85,44.89,44.88,44.94,44.83,44.89,44.88,44.86,44.81,44.78,44.84,44.84,44.88,44.88,44.89,44.88,44.95 | +| house | 41.89,41.81,41.97,41.94,41.98,42.04,41.98,42.02,42.07,42.03,42.11,41.98,42.07,41.93,42.08,41.93,42.11,41.95,42.17,41.98 | +| sea | 60.76,60.76,60.81,60.82,60.87,60.9,60.97,60.96,61.02,61.06,61.11,61.14,61.16,61.17,61.19,61.21,61.2,61.23,61.24,61.26 | +| mirror | 66.91,66.93,66.97,66.95,66.96,67.0,66.99,67.05,66.96,67.03,67.01,67.13,66.95,67.11,67.09,67.16,67.13,67.21,67.15,67.23 | +| rug | 65.3,65.3,65.36,65.44,65.38,65.43,65.37,65.54,65.46,65.54,65.4,65.55,65.43,65.61,65.47,65.61,65.52,65.62,65.56,65.66 | +| field | 31.46,31.49,31.51,31.58,31.62,31.65,31.68,31.71,31.72,31.72,31.77,31.76,31.81,31.8,31.84,31.85,31.87,31.87,31.9,31.89 | +| armchair | 38.28,38.24,38.21,38.33,38.21,38.19,38.18,38.29,38.24,38.32,38.3,38.35,38.37,38.36,38.38,38.44,38.36,38.42,38.37,38.41 | +| seat | 66.38,66.41,66.48,66.46,66.55,66.56,66.6,66.58,66.68,66.66,66.74,66.73,66.78,66.77,66.82,66.87,66.82,66.93,66.86,66.95 | +| fence | 40.83,40.92,41.03,40.96,41.0,41.05,40.97,41.25,41.17,41.31,41.2,41.28,41.19,41.32,41.16,41.27,41.1,41.14,40.99,40.94 | +| desk | 47.2,47.22,47.3,47.25,47.32,47.28,47.36,47.45,47.43,47.49,47.5,47.49,47.59,47.52,47.58,47.5,47.63,47.53,47.66,47.56 | +| rock | 37.03,37.04,37.04,37.11,37.08,37.1,37.1,37.11,37.13,37.07,37.16,37.05,37.14,37.03,37.12,37.05,37.07,37.03,37.04,37.05 | +| wardrobe | 58.28,58.33,58.36,58.37,58.45,58.44,58.42,58.47,58.53,58.52,58.51,58.58,58.58,58.53,58.61,58.57,58.63,58.64,58.66,58.67 | +| lamp | 62.66,62.72,62.67,62.73,62.72,62.7,62.76,62.73,62.74,62.79,62.79,62.78,62.85,62.79,62.78,62.81,62.84,62.8,62.83,62.83 | +| bathtub | 76.56,76.6,76.33,76.27,76.23,76.16,76.13,76.08,76.02,76.09,76.03,76.03,76.05,76.03,75.99,76.07,75.99,76.06,75.99,75.99 | +| railing | 33.81,33.81,33.86,33.8,33.87,33.81,33.83,33.85,33.85,33.85,33.8,33.87,33.84,33.89,33.87,33.89,33.88,33.9,33.85,33.9 | +| cushion | 58.15,58.33,58.23,58.28,58.19,58.19,58.46,58.3,58.3,58.44,58.4,58.41,58.49,58.28,58.36,58.41,58.31,58.32,58.28,58.3 | +| base | 22.16,22.27,22.25,22.21,22.2,22.2,22.22,22.27,22.29,22.23,22.31,22.2,22.19,22.15,22.15,22.14,22.17,22.09,22.2,22.08 | +| box | 22.81,22.87,22.92,22.87,22.93,23.0,23.07,23.07,23.05,23.12,23.16,23.2,23.07,23.26,23.16,23.27,23.21,23.33,23.23,23.38 | +| column | 46.27,46.34,46.42,46.39,46.39,46.48,46.51,46.45,46.47,46.54,46.53,46.59,46.57,46.6,46.58,46.63,46.56,46.57,46.55,46.56 | +| signboard | 37.71,37.83,37.84,37.85,37.93,37.82,37.86,37.85,37.82,37.82,37.91,37.83,37.89,37.85,37.89,37.92,37.89,37.92,37.91,37.94 | +| chest of drawers | 37.1,37.12,37.13,37.09,37.1,37.06,37.01,36.98,37.05,36.98,37.0,37.0,37.0,36.99,36.97,36.89,37.05,36.93,37.13,36.97 | +| counter | 32.26,32.24,32.32,32.26,32.26,32.22,32.23,32.22,32.24,32.15,32.13,32.17,32.06,32.05,32.04,32.01,32.01,32.02,31.98,31.99 | +| sand | 42.4,42.53,42.6,42.6,42.7,42.64,42.67,42.63,42.64,42.59,42.68,42.61,42.62,42.57,42.59,42.55,42.51,42.52,42.45,42.47 | +| sink | 68.71,68.69,68.7,68.7,68.62,68.58,68.59,68.46,68.54,68.53,68.47,68.44,68.44,68.41,68.38,68.45,68.4,68.44,68.41,68.38 | +| skyscraper | 48.87,48.75,48.67,48.59,48.79,48.56,48.49,48.46,48.44,48.51,48.48,48.52,48.46,48.5,48.5,48.52,48.43,48.55,48.46,48.52 | +| fireplace | 76.22,76.27,76.23,76.17,76.22,76.32,76.23,76.4,76.3,76.3,76.38,76.46,76.49,76.55,76.48,76.61,76.56,76.7,76.62,76.77 | +| refrigerator | 75.6,75.58,75.73,75.95,76.05,76.12,76.26,76.45,76.37,76.74,76.52,76.92,76.4,76.92,76.51,76.9,76.53,76.83,76.58,76.83 | +| grandstand | 53.98,53.93,53.87,54.15,54.19,54.16,54.31,54.3,54.28,54.24,54.34,54.39,54.41,54.4,54.45,54.53,54.52,54.48,54.59,54.56 | +| path | 21.88,21.91,21.96,21.95,21.97,21.96,21.95,21.93,21.84,21.83,21.81,21.81,21.81,21.75,21.74,21.68,21.69,21.69,21.68,21.65 | +| stairs | 33.54,33.37,33.52,33.35,33.32,33.25,33.31,33.14,33.13,33.06,33.07,32.99,32.96,33.0,32.94,33.02,32.94,33.01,32.91,32.96 | +| runway | 68.01,68.07,68.1,68.04,68.13,68.13,68.28,68.27,68.25,68.26,68.24,68.12,68.04,67.98,67.95,67.92,67.95,67.9,67.94,67.85 | +| case | 48.27,48.21,48.57,48.63,48.78,48.86,49.1,48.96,49.04,49.19,49.22,49.37,49.35,49.49,49.45,49.7,49.48,49.82,49.41,49.89 | +| pool table | 91.86,91.91,91.96,92.06,92.08,92.08,92.09,92.09,92.17,92.19,92.21,92.23,92.23,92.24,92.26,92.27,92.27,92.32,92.3,92.33 | +| pillow | 62.66,62.77,62.8,62.99,62.83,63.03,63.21,63.15,63.21,63.2,63.2,63.22,63.25,63.02,63.12,63.11,63.03,63.11,63.04,63.11 | +| screen door | 70.88,70.99,70.93,71.0,71.03,70.91,70.88,70.87,70.78,70.62,70.59,70.53,70.51,70.44,70.43,70.39,70.35,70.38,70.3,70.28 | +| stairway | 24.22,24.33,24.26,24.27,24.2,24.27,24.36,24.28,24.21,24.34,24.31,24.3,24.33,24.36,24.38,24.47,24.47,24.55,24.52,24.63 | +| river | 11.94,11.91,11.92,11.9,11.93,11.89,11.91,11.88,11.91,11.88,11.88,11.89,11.86,11.89,11.83,11.88,11.83,11.86,11.81,11.84 | +| bridge | 29.68,29.85,30.01,29.93,29.86,30.01,30.41,30.28,30.3,30.31,30.32,30.24,30.27,30.26,30.23,30.18,30.17,30.13,30.14,30.11 | +| bookcase | 49.68,49.74,49.62,49.61,49.53,49.63,49.59,49.51,49.43,49.39,49.29,49.35,49.28,49.32,49.31,49.35,49.26,49.29,49.18,49.23 | +| blind | 39.93,39.88,40.01,40.04,40.01,40.03,39.92,39.99,39.99,40.05,40.14,40.01,40.05,40.08,40.09,40.1,40.11,40.22,40.18,40.19 | +| coffee table | 54.62,54.63,54.57,54.67,54.65,54.74,54.69,54.67,54.86,54.76,54.97,54.94,54.92,54.98,55.01,54.97,54.9,54.94,54.89,54.92 | +| toilet | 84.2,84.16,84.15,84.16,84.11,84.04,84.03,83.87,83.99,83.92,83.94,83.88,83.83,83.9,83.83,83.89,83.89,83.94,83.98,83.97 | +| flower | 39.05,39.14,39.2,39.12,39.07,39.17,39.22,39.26,39.27,39.27,39.32,39.25,39.33,39.38,39.54,39.39,39.48,39.36,39.56,39.43 | +| book | 45.75,45.84,45.78,45.74,45.78,45.84,45.8,45.87,45.78,45.91,45.81,45.96,45.77,45.87,45.78,45.84,45.77,45.83,45.74,45.83 | +| hill | 16.1,16.1,16.24,16.0,16.04,15.99,15.91,16.08,15.95,15.96,16.0,15.87,15.9,15.84,15.86,15.79,15.88,15.75,15.86,15.72 | +| bench | 43.3,43.35,43.28,43.2,43.23,43.28,43.28,43.29,43.22,43.07,43.14,42.98,42.98,42.86,42.89,42.8,42.77,42.77,42.71,42.72 | +| countertop | 57.07,57.09,57.16,57.19,57.19,57.14,57.21,57.24,57.2,57.3,57.3,57.32,57.29,57.35,57.22,57.36,57.3,57.3,57.29,57.21 | +| stove | 73.26,73.34,73.34,73.4,73.28,73.67,73.46,73.74,73.61,73.73,73.5,73.68,73.55,73.66,73.62,73.63,73.62,73.65,73.65,73.74 | +| palm | 48.32,48.3,48.24,48.28,48.33,48.23,48.25,48.31,48.35,48.36,48.43,48.3,48.37,48.38,48.38,48.41,48.35,48.41,48.35,48.39 | +| kitchen island | 44.63,44.86,44.9,45.07,45.25,45.31,45.23,45.41,45.38,45.79,45.64,45.68,45.81,45.69,46.0,45.84,45.91,45.87,45.84,45.88 | +| computer | 60.69,60.62,60.7,60.64,60.73,60.69,60.72,60.68,60.7,60.73,60.7,60.69,60.77,60.65,60.7,60.69,60.71,60.68,60.69,60.69 | +| swivel chair | 45.39,45.24,45.4,45.3,45.25,45.28,45.31,45.33,45.58,45.28,45.42,45.28,45.44,45.24,45.5,45.16,45.57,45.27,45.65,45.28 | +| boat | 73.16,73.33,73.34,73.46,73.56,73.7,73.75,73.79,73.85,73.78,73.99,74.05,74.17,74.17,74.27,74.24,74.32,74.43,74.49,74.55 | +| bar | 24.41,24.39,24.39,24.36,24.39,24.35,24.4,24.42,24.39,24.36,24.39,24.37,24.37,24.4,24.36,24.35,24.34,24.34,24.37,24.32 | +| arcade machine | 67.5,68.05,68.48,68.44,68.4,69.04,68.91,69.37,69.07,69.66,69.4,69.71,69.84,69.89,69.75,70.45,69.66,70.76,69.77,71.11 | +| hovel | 31.33,31.23,30.96,30.83,30.84,30.68,30.8,30.71,30.59,30.59,30.41,30.45,30.32,29.88,29.99,29.78,29.93,29.47,29.64,29.12 | +| bus | 79.9,79.9,79.82,79.78,79.8,79.69,79.68,79.58,79.59,79.49,79.42,79.43,79.39,79.35,79.24,79.27,79.26,79.25,79.18,79.17 | +| towel | 62.77,62.75,62.81,62.81,62.91,62.85,63.02,62.94,63.07,62.97,63.02,63.06,63.08,63.09,62.99,63.04,62.94,62.93,62.85,62.85 | +| light | 56.41,56.51,56.56,56.73,56.74,56.75,56.76,56.77,56.93,56.81,56.85,56.95,56.93,56.97,56.97,56.99,56.97,56.99,56.96,56.99 | +| truck | 19.09,19.08,19.02,18.96,18.92,18.91,18.99,18.79,18.81,18.8,18.8,18.74,18.81,18.56,18.6,18.46,18.45,18.36,18.4,18.16 | +| tower | 7.58,7.62,7.58,7.61,7.61,7.65,7.66,7.68,7.68,7.7,7.74,7.72,7.74,7.73,7.8,7.8,7.84,7.84,7.83,7.87 | +| chandelier | 64.63,64.67,64.62,64.7,64.62,64.62,64.57,64.73,64.66,64.68,64.61,64.6,64.61,64.45,64.48,64.45,64.46,64.45,64.4,64.39 | +| awning | 25.15,24.85,25.34,25.32,25.41,25.28,25.32,25.4,25.39,25.34,25.49,25.28,25.42,25.34,25.39,25.14,25.41,25.07,25.35,25.14 | +| streetlight | 27.67,27.56,27.65,27.66,27.66,27.61,27.67,27.65,27.73,27.65,27.74,27.76,27.77,27.72,27.75,27.87,27.8,27.83,27.79,27.84 | +| booth | 46.96,47.01,47.02,47.26,47.24,47.47,47.26,47.56,47.49,47.65,47.52,47.61,47.83,48.09,48.13,47.93,48.14,47.97,48.21,47.99 | +| television receiver | 67.0,67.04,67.08,66.98,67.04,67.0,67.1,67.05,67.24,67.12,67.24,67.24,67.36,67.3,67.38,67.34,67.45,67.47,67.51,67.51 | +| airplane | 59.01,59.06,58.99,58.89,58.98,58.8,58.76,58.68,58.52,58.42,58.35,58.24,58.21,58.16,58.17,57.99,58.02,57.88,57.9,57.81 | +| dirt track | 21.12,20.94,21.68,21.74,22.34,21.69,22.28,22.36,22.24,22.51,22.58,22.3,22.67,22.19,22.57,22.16,22.73,22.16,22.72,21.9 | +| apparel | 33.63,33.98,33.93,34.0,34.39,34.18,34.12,34.24,34.37,34.28,34.45,34.4,34.38,34.46,34.5,34.59,34.44,34.64,34.48,34.71 | +| pole | 19.46,19.58,19.53,19.64,19.62,19.56,19.38,19.58,19.49,19.46,19.51,19.35,19.45,19.19,19.36,19.2,19.25,19.16,19.11,19.06 | +| land | 3.41,3.44,3.4,3.4,3.43,3.42,3.42,3.4,3.45,3.4,3.49,3.36,3.47,3.38,3.5,3.4,3.48,3.38,3.48,3.39 | +| bannister | 11.35,11.4,11.5,11.52,11.72,11.69,11.65,11.75,11.72,11.78,11.91,11.91,12.07,11.88,12.01,12.0,12.0,12.01,12.04,12.04 | +| escalator | 24.98,25.09,25.05,25.05,25.1,25.14,25.12,25.17,25.14,25.21,25.21,25.17,25.22,25.2,25.15,25.2,25.1,25.19,25.13,25.22 | +| ottoman | 41.67,41.64,41.39,41.57,41.18,41.35,41.17,41.17,41.01,40.95,40.77,40.74,40.41,40.43,40.3,40.4,40.24,40.48,40.25,40.46 | +| bottle | 35.14,35.22,35.2,35.2,35.31,35.27,35.35,35.28,35.26,35.31,35.42,35.3,35.31,35.37,35.44,35.4,35.43,35.42,35.47,35.47 | +| buffet | 43.96,44.26,44.69,45.06,45.41,45.8,45.64,45.86,45.98,46.1,46.27,46.07,46.34,46.15,46.46,46.19,46.48,46.18,46.38,46.06 | +| poster | 22.67,22.63,22.63,22.77,22.69,22.84,22.78,22.75,22.8,22.68,22.78,22.89,22.81,22.96,22.72,22.84,22.68,22.88,22.7,22.95 | +| stage | 14.83,14.8,14.79,14.65,14.72,14.68,14.56,14.48,14.58,14.42,14.56,14.45,14.54,14.43,14.5,14.48,14.51,14.46,14.53,14.47 | +| van | 38.68,38.88,38.85,38.76,38.73,38.82,38.8,38.82,38.9,38.74,38.82,38.69,38.89,38.67,38.87,38.68,38.95,38.75,38.97,38.74 | +| ship | 81.36,81.32,81.4,81.62,81.66,81.81,81.81,81.9,81.94,81.98,82.07,82.15,82.16,82.25,82.31,82.3,82.33,82.35,82.43,82.43 | +| fountain | 21.24,21.28,21.44,21.57,21.6,21.81,21.78,22.0,22.07,22.08,22.26,22.26,22.31,22.36,22.39,22.36,22.43,22.42,22.49,22.48 | +| conveyer belt | 84.88,84.82,84.87,84.88,84.89,84.76,84.77,84.8,84.66,84.8,84.82,84.58,84.81,84.54,84.77,84.59,84.73,84.65,84.75,84.59 | +| canopy | 23.81,23.82,23.96,23.98,24.02,24.27,24.2,24.33,24.3,24.39,24.51,24.48,24.69,24.62,24.72,24.66,24.74,24.71,24.8,24.76 | +| washer | 75.71,75.79,75.97,76.04,76.14,76.26,76.45,76.52,76.7,76.66,76.8,77.06,77.1,77.03,77.21,77.47,77.31,77.61,77.65,77.93 | +| plaything | 20.79,20.75,20.82,20.75,20.74,20.72,20.69,20.77,20.71,20.75,20.69,20.77,20.63,20.7,20.61,20.71,20.66,20.69,20.58,20.7 | +| swimming pool | 71.01,71.18,71.37,71.13,70.78,71.25,71.04,71.15,71.35,70.94,70.69,70.74,70.75,70.83,70.45,70.57,70.0,70.27,69.97,70.3 | +| stool | 42.29,42.11,42.05,42.22,42.17,42.06,42.08,42.17,41.94,42.01,41.87,41.9,41.86,41.9,41.67,41.9,41.65,41.6,41.4,41.43 | +| barrel | 42.49,42.89,42.66,42.88,42.58,42.25,42.79,42.71,42.17,42.34,41.78,41.89,41.89,41.86,41.94,41.61,41.66,41.81,41.59,41.55 | +| basket | 23.97,24.0,23.88,23.97,24.01,23.95,24.05,24.0,23.95,24.01,23.95,24.04,24.1,24.14,24.19,24.3,24.25,24.31,24.25,24.34 | +| waterfall | 49.3,49.24,49.35,49.36,49.31,49.4,49.53,49.42,49.56,49.57,49.48,49.61,49.47,49.67,49.6,49.72,49.67,49.84,49.81,49.94 | +| tent | 95.08,95.07,95.09,95.16,95.22,95.17,95.2,95.19,95.23,95.18,95.25,95.22,95.25,95.29,95.24,95.35,95.26,95.34,95.3,95.37 | +| bag | 16.9,16.96,17.05,17.09,17.14,17.25,17.25,17.14,17.15,17.22,17.43,17.29,17.45,17.67,17.7,17.64,17.75,17.67,17.73,17.71 | +| minibike | 61.78,61.89,61.91,61.92,62.0,62.09,62.11,62.26,62.33,62.4,62.55,62.71,62.73,62.86,62.85,62.93,62.96,63.12,63.05,63.19 | +| cradle | 84.22,84.56,84.51,84.93,84.89,85.36,85.23,85.26,85.47,85.49,85.65,85.75,85.86,85.84,86.01,85.98,86.11,86.17,86.3,86.27 | +| oven | 47.74,47.81,47.8,48.04,47.8,48.14,48.37,48.5,48.44,48.43,48.74,48.66,48.85,48.91,49.14,49.2,49.27,49.33,49.35,49.42 | +| ball | 42.52,42.54,42.48,42.6,42.74,42.72,42.84,42.82,42.73,42.95,42.93,42.88,42.94,43.0,43.06,42.95,43.03,43.05,43.13,43.02 | +| food | 56.41,56.59,56.72,56.84,56.92,57.11,57.22,57.18,57.31,57.47,57.58,57.6,57.67,57.78,57.73,57.91,57.77,57.93,57.82,57.91 | +| step | 5.32,5.46,5.42,5.22,5.34,5.43,5.38,5.33,5.45,5.61,5.36,5.43,5.27,5.41,5.22,5.4,5.12,5.4,5.0,5.27 | +| tank | 48.7,48.74,48.81,48.79,48.77,48.72,48.64,48.69,48.74,48.76,48.76,48.78,48.68,48.71,48.76,48.73,48.77,48.69,48.74,48.67 | +| trade name | 28.07,28.08,28.35,28.36,28.02,28.14,28.24,28.02,28.25,27.97,28.19,28.1,28.22,28.13,28.27,28.23,28.21,28.16,28.22,28.24 | +| microwave | 72.26,72.38,72.69,72.76,72.92,73.09,73.15,73.18,73.57,73.61,73.86,74.08,74.08,74.41,74.32,74.66,74.57,74.91,74.76,75.05 | +| pot | 29.25,29.31,29.3,29.24,29.27,29.47,29.3,29.38,29.44,29.43,29.48,29.52,29.57,29.79,29.87,29.95,29.95,29.97,30.03,30.02 | +| animal | 54.51,54.56,54.59,54.58,54.65,54.66,54.67,54.68,54.72,54.7,54.71,54.77,54.72,54.79,54.75,54.8,54.78,54.82,54.74,54.81 | +| bicycle | 55.41,55.44,55.5,55.68,55.61,55.74,55.78,55.82,55.85,56.04,56.07,56.14,56.23,56.32,56.28,56.32,56.23,56.31,56.25,56.38 | +| lake | 58.35,58.33,58.45,58.43,58.46,58.52,58.55,58.55,58.56,58.6,58.61,58.63,58.61,58.67,58.63,58.67,58.62,58.68,58.62,58.65 | +| dishwasher | 68.03,67.92,67.76,67.68,67.74,67.58,67.64,67.57,67.55,67.64,67.48,67.54,67.4,67.25,67.43,66.98,67.27,66.85,67.29,66.65 | +| screen | 68.24,68.39,68.14,67.92,67.75,67.59,67.49,67.38,67.48,67.29,66.85,67.28,66.81,67.24,66.66,67.24,66.64,67.23,66.74,67.46 | +| blanket | 18.22,18.4,18.36,18.73,18.69,18.96,18.64,18.8,19.03,18.82,18.83,19.02,19.0,18.97,19.06,19.05,18.97,18.99,18.99,18.95 | +| sculpture | 57.24,57.01,57.06,57.42,57.02,56.95,56.96,56.98,56.84,56.86,56.99,57.07,57.09,56.94,57.24,57.17,57.12,57.49,57.05,57.4 | +| hood | 59.51,59.36,60.0,59.36,59.73,59.76,59.78,59.75,59.81,59.63,59.96,59.9,59.99,60.01,60.0,59.99,60.02,60.08,60.04,60.11 | +| sconce | 41.57,41.74,41.68,41.71,41.81,42.01,41.98,42.11,42.12,42.26,42.29,42.2,42.41,42.45,42.43,42.53,42.52,42.74,42.57,42.86 | +| vase | 37.5,37.63,37.61,37.83,37.61,37.74,37.92,37.85,37.82,37.94,37.91,38.11,37.96,38.01,38.07,38.14,38.12,37.99,38.08,38.15 | +| traffic light | 33.23,33.08,33.18,33.14,33.35,33.37,33.64,33.43,33.55,33.71,33.83,33.88,34.0,34.03,34.06,34.14,34.22,34.3,34.33,34.46 | +| tray | 8.27,8.25,8.32,8.36,8.46,8.3,8.34,8.38,8.36,8.49,8.46,8.44,8.32,8.57,8.24,8.48,8.31,8.52,8.35,8.45 | +| ashcan | 41.12,41.05,41.17,41.14,41.18,41.19,41.27,41.12,41.32,41.26,41.37,41.28,41.32,41.14,41.29,41.08,41.21,41.1,41.18,41.06 | +| fan | 56.61,56.65,56.68,56.63,56.51,56.53,56.5,56.47,56.45,56.29,56.24,56.36,56.48,56.4,56.46,56.37,56.35,56.3,56.29,56.34 | +| pier | 41.61,41.92,42.24,41.55,41.62,42.0,42.37,42.46,42.4,42.65,42.59,42.94,42.99,42.92,43.2,43.57,43.59,43.74,43.94,44.09 | +| crt screen | 11.16,11.18,11.19,11.11,11.2,11.13,11.19,11.18,11.29,11.14,11.16,11.15,11.19,11.12,11.2,11.11,11.15,11.03,11.14,10.99 | +| plate | 53.01,53.14,53.21,53.17,53.27,53.34,53.48,53.36,53.41,53.34,53.52,53.42,53.62,53.64,53.77,53.69,53.63,53.69,53.76,53.8 | +| monitor | 16.95,16.87,16.96,16.92,16.85,16.85,16.82,16.73,16.79,16.68,16.75,16.66,16.62,16.57,16.58,16.38,16.4,16.26,16.18,16.09 | +| bulletin board | 37.81,38.06,38.09,38.14,37.86,38.16,38.04,38.38,38.2,38.26,38.27,38.29,38.19,38.41,38.24,38.39,38.16,38.47,38.08,38.44 | +| shower | 2.41,2.37,2.33,2.35,2.44,2.42,2.39,2.48,2.37,2.33,2.3,2.32,2.36,2.29,2.31,2.23,2.3,2.22,2.3,2.19 | +| radiator | 60.31,60.62,61.11,61.84,61.8,61.95,62.39,62.66,62.93,62.98,63.1,63.13,63.27,63.57,63.7,63.79,63.96,64.01,64.31,64.35 | +| glass | 14.52,14.54,14.52,14.53,14.57,14.53,14.56,14.58,14.58,14.6,14.62,14.62,14.64,14.57,14.57,14.56,14.6,14.58,14.61,14.53 | +| clock | 35.91,35.93,35.86,36.23,36.02,35.97,35.64,36.0,35.83,36.0,35.73,35.62,35.86,35.62,36.06,35.78,35.81,35.7,35.72,35.82 | +| flag | 33.41,33.44,33.38,33.51,33.4,33.56,33.49,33.51,33.54,33.47,33.54,33.55,33.52,33.66,33.48,33.73,33.55,33.65,33.63,33.62 | ++---------------------+-------------------------------------------------------------------------------------------------------------------------+ +2023-03-04 09:42:10,493 - mmseg - INFO - Summary: +2023-03-04 09:42:10,493 - mmseg - INFO - ++-----------------------------------------------------------------------------------------------------------------------+ +| mIoU 0,1,2,3,4,5,6,7,8,9,10,11,12,13,14,15,16,17,18,19 | ++-----------------------------------------------------------------------------------------------------------------------+ +| 48.86,48.9,48.94,48.96,48.97,49.0,49.02,49.05,49.05,49.07,49.08,49.09,49.11,49.11,49.12,49.13,49.12,49.14,49.13,49.15 | ++-----------------------------------------------------------------------------------------------------------------------+ +2023-03-04 09:42:10,524 - mmseg - INFO - The previous best checkpoint /mnt/petrelfs/laizeqiang/mmseg-baseline/work_dirs2/ablation_segformer_mit_b2_segformer_head_unet_fc_small_multi_step_ade_pretrained_freeze_embed_160k_ade20k151_finetune_ema_t20/best_mIoU_iter_128000.pth was removed +2023-03-04 09:42:11,473 - mmseg - INFO - Now best checkpoint is saved as best_mIoU_iter_144000.pth. +2023-03-04 09:42:11,474 - mmseg - INFO - Best mIoU is 0.4915 at 144000 iter. +2023-03-04 09:42:11,474 - mmseg - INFO - Exp name: ablation_segformer_mit_b2_segformer_head_unet_fc_small_multi_step_ade_pretrained_freeze_embed_160k_ade20k151_finetune_ema_t20.py +2023-03-04 09:42:11,474 - mmseg - INFO - Iter(val) [250] mIoU: [0.4886, 0.489, 0.4894, 0.4896, 0.4897, 0.49, 0.4902, 0.4905, 0.4905, 0.4907, 0.4908, 0.4909, 0.4911, 0.4911, 0.4912, 0.4913, 0.4912, 0.4914, 0.4913, 0.4915], copy_paste: 48.86,48.9,48.94,48.96,48.97,49.0,49.02,49.05,49.05,49.07,49.08,49.09,49.11,49.11,49.12,49.13,49.12,49.14,49.13,49.15 +2023-03-04 09:42:11,480 - mmseg - INFO - Swap parameters (before train) before iter [144001] +2023-03-04 09:42:21,834 - mmseg - INFO - Iter [144050/160000] lr: 3.750e-05, eta: 0:56:34, time: 4.476, data_time: 4.277, memory: 59439, decode.loss_ce: 0.1888, decode.acc_seg: 92.1993, loss: 0.1888 +2023-03-04 09:42:31,945 - mmseg - INFO - Iter [144100/160000] lr: 3.750e-05, eta: 0:56:24, time: 0.202, data_time: 0.008, memory: 59439, decode.loss_ce: 0.1851, decode.acc_seg: 92.3369, loss: 0.1851 +2023-03-04 09:42:41,670 - mmseg - INFO - Iter [144150/160000] lr: 3.750e-05, eta: 0:56:13, time: 0.194, data_time: 0.007, memory: 59439, decode.loss_ce: 0.1939, decode.acc_seg: 92.1711, loss: 0.1939 +2023-03-04 09:42:51,611 - mmseg - INFO - Iter [144200/160000] lr: 3.750e-05, eta: 0:56:02, time: 0.199, data_time: 0.008, memory: 59439, decode.loss_ce: 0.1834, decode.acc_seg: 92.4294, loss: 0.1834 +2023-03-04 09:43:01,231 - mmseg - INFO - Iter [144250/160000] lr: 3.750e-05, eta: 0:55:51, time: 0.192, data_time: 0.007, memory: 59439, decode.loss_ce: 0.1879, decode.acc_seg: 92.2341, loss: 0.1879 +2023-03-04 09:43:11,006 - mmseg - INFO - Iter [144300/160000] lr: 3.750e-05, eta: 0:55:41, time: 0.195, data_time: 0.007, memory: 59439, decode.loss_ce: 0.1807, decode.acc_seg: 92.5086, loss: 0.1807 +2023-03-04 09:43:20,685 - mmseg - INFO - Iter [144350/160000] lr: 3.750e-05, eta: 0:55:30, time: 0.194, data_time: 0.007, memory: 59439, decode.loss_ce: 0.1943, decode.acc_seg: 92.0017, loss: 0.1943 +2023-03-04 09:43:30,376 - mmseg - INFO - Iter [144400/160000] lr: 3.750e-05, eta: 0:55:19, time: 0.194, data_time: 0.007, memory: 59439, decode.loss_ce: 0.1857, decode.acc_seg: 92.3448, loss: 0.1857 +2023-03-04 09:43:40,380 - mmseg - INFO - Iter [144450/160000] lr: 3.750e-05, eta: 0:55:08, time: 0.200, data_time: 0.007, memory: 59439, decode.loss_ce: 0.1792, decode.acc_seg: 92.5920, loss: 0.1792 +2023-03-04 09:43:52,582 - mmseg - INFO - Iter [144500/160000] lr: 3.750e-05, eta: 0:54:58, time: 0.244, data_time: 0.055, memory: 59439, decode.loss_ce: 0.1858, decode.acc_seg: 92.2852, loss: 0.1858 +2023-03-04 09:44:02,393 - mmseg - INFO - Iter [144550/160000] lr: 3.750e-05, eta: 0:54:47, time: 0.196, data_time: 0.008, memory: 59439, decode.loss_ce: 0.1853, decode.acc_seg: 92.3974, loss: 0.1853 +2023-03-04 09:44:12,236 - mmseg - INFO - Iter [144600/160000] lr: 3.750e-05, eta: 0:54:36, time: 0.197, data_time: 0.007, memory: 59439, decode.loss_ce: 0.1836, decode.acc_seg: 92.3795, loss: 0.1836 +2023-03-04 09:44:22,278 - mmseg - INFO - Iter [144650/160000] lr: 3.750e-05, eta: 0:54:26, time: 0.201, data_time: 0.007, memory: 59439, decode.loss_ce: 0.1834, decode.acc_seg: 92.4271, loss: 0.1834 +2023-03-04 09:44:31,976 - mmseg - INFO - Iter [144700/160000] lr: 3.750e-05, eta: 0:54:15, time: 0.194, data_time: 0.008, memory: 59439, decode.loss_ce: 0.1811, decode.acc_seg: 92.5811, loss: 0.1811 +2023-03-04 09:44:41,623 - mmseg - INFO - Iter [144750/160000] lr: 3.750e-05, eta: 0:54:04, time: 0.193, data_time: 0.008, memory: 59439, decode.loss_ce: 0.1855, decode.acc_seg: 92.4343, loss: 0.1855 +2023-03-04 09:44:51,325 - mmseg - INFO - Iter [144800/160000] lr: 3.750e-05, eta: 0:53:54, time: 0.194, data_time: 0.007, memory: 59439, decode.loss_ce: 0.1842, decode.acc_seg: 92.4070, loss: 0.1842 +2023-03-04 09:45:01,148 - mmseg - INFO - Iter [144850/160000] lr: 3.750e-05, eta: 0:53:43, time: 0.197, data_time: 0.008, memory: 59439, decode.loss_ce: 0.1928, decode.acc_seg: 92.1476, loss: 0.1928 +2023-03-04 09:45:10,880 - mmseg - INFO - Iter [144900/160000] lr: 3.750e-05, eta: 0:53:32, time: 0.195, data_time: 0.007, memory: 59439, decode.loss_ce: 0.1795, decode.acc_seg: 92.6871, loss: 0.1795 +2023-03-04 09:45:20,701 - mmseg - INFO - Iter [144950/160000] lr: 3.750e-05, eta: 0:53:21, time: 0.196, data_time: 0.008, memory: 59439, decode.loss_ce: 0.1876, decode.acc_seg: 92.2436, loss: 0.1876 +2023-03-04 09:45:30,364 - mmseg - INFO - Exp name: ablation_segformer_mit_b2_segformer_head_unet_fc_small_multi_step_ade_pretrained_freeze_embed_160k_ade20k151_finetune_ema_t20.py +2023-03-04 09:45:30,364 - mmseg - INFO - Iter [145000/160000] lr: 3.750e-05, eta: 0:53:11, time: 0.193, data_time: 0.008, memory: 59439, decode.loss_ce: 0.1839, decode.acc_seg: 92.5093, loss: 0.1839 +2023-03-04 09:45:39,911 - mmseg - INFO - Iter [145050/160000] lr: 3.750e-05, eta: 0:53:00, time: 0.191, data_time: 0.007, memory: 59439, decode.loss_ce: 0.1918, decode.acc_seg: 92.1225, loss: 0.1918 +2023-03-04 09:45:49,913 - mmseg - INFO - Iter [145100/160000] lr: 3.750e-05, eta: 0:52:49, time: 0.200, data_time: 0.008, memory: 59439, decode.loss_ce: 0.1851, decode.acc_seg: 92.4817, loss: 0.1851 +2023-03-04 09:46:02,003 - mmseg - INFO - Iter [145150/160000] lr: 3.750e-05, eta: 0:52:39, time: 0.242, data_time: 0.053, memory: 59439, decode.loss_ce: 0.1856, decode.acc_seg: 92.2470, loss: 0.1856 +2023-03-04 09:46:11,713 - mmseg - INFO - Iter [145200/160000] lr: 3.750e-05, eta: 0:52:28, time: 0.194, data_time: 0.008, memory: 59439, decode.loss_ce: 0.1897, decode.acc_seg: 92.1963, loss: 0.1897 +2023-03-04 09:46:21,314 - mmseg - INFO - Iter [145250/160000] lr: 3.750e-05, eta: 0:52:17, time: 0.192, data_time: 0.007, memory: 59439, decode.loss_ce: 0.1802, decode.acc_seg: 92.5099, loss: 0.1802 +2023-03-04 09:46:30,841 - mmseg - INFO - Iter [145300/160000] lr: 3.750e-05, eta: 0:52:06, time: 0.191, data_time: 0.008, memory: 59439, decode.loss_ce: 0.1770, decode.acc_seg: 92.7263, loss: 0.1770 +2023-03-04 09:46:41,010 - mmseg - INFO - Iter [145350/160000] lr: 3.750e-05, eta: 0:51:56, time: 0.203, data_time: 0.007, memory: 59439, decode.loss_ce: 0.1897, decode.acc_seg: 92.2651, loss: 0.1897 +2023-03-04 09:46:50,756 - mmseg - INFO - Iter [145400/160000] lr: 3.750e-05, eta: 0:51:45, time: 0.195, data_time: 0.008, memory: 59439, decode.loss_ce: 0.1894, decode.acc_seg: 92.2783, loss: 0.1894 +2023-03-04 09:47:00,402 - mmseg - INFO - Iter [145450/160000] lr: 3.750e-05, eta: 0:51:34, time: 0.193, data_time: 0.007, memory: 59439, decode.loss_ce: 0.1896, decode.acc_seg: 92.3549, loss: 0.1896 +2023-03-04 09:47:10,121 - mmseg - INFO - Iter [145500/160000] lr: 3.750e-05, eta: 0:51:24, time: 0.194, data_time: 0.008, memory: 59439, decode.loss_ce: 0.1837, decode.acc_seg: 92.4821, loss: 0.1837 +2023-03-04 09:47:20,260 - mmseg - INFO - Iter [145550/160000] lr: 3.750e-05, eta: 0:51:13, time: 0.203, data_time: 0.007, memory: 59439, decode.loss_ce: 0.1880, decode.acc_seg: 92.2512, loss: 0.1880 +2023-03-04 09:47:29,930 - mmseg - INFO - Iter [145600/160000] lr: 3.750e-05, eta: 0:51:02, time: 0.194, data_time: 0.008, memory: 59439, decode.loss_ce: 0.1956, decode.acc_seg: 92.0088, loss: 0.1956 +2023-03-04 09:47:39,402 - mmseg - INFO - Iter [145650/160000] lr: 3.750e-05, eta: 0:50:51, time: 0.189, data_time: 0.008, memory: 59439, decode.loss_ce: 0.1796, decode.acc_seg: 92.7063, loss: 0.1796 +2023-03-04 09:47:49,221 - mmseg - INFO - Iter [145700/160000] lr: 3.750e-05, eta: 0:50:41, time: 0.196, data_time: 0.008, memory: 59439, decode.loss_ce: 0.1882, decode.acc_seg: 92.2586, loss: 0.1882 +2023-03-04 09:47:59,092 - mmseg - INFO - Iter [145750/160000] lr: 3.750e-05, eta: 0:50:30, time: 0.197, data_time: 0.008, memory: 59439, decode.loss_ce: 0.1877, decode.acc_seg: 92.2785, loss: 0.1877 +2023-03-04 09:48:11,184 - mmseg - INFO - Iter [145800/160000] lr: 3.750e-05, eta: 0:50:20, time: 0.242, data_time: 0.058, memory: 59439, decode.loss_ce: 0.1867, decode.acc_seg: 92.4563, loss: 0.1867 +2023-03-04 09:48:20,963 - mmseg - INFO - Iter [145850/160000] lr: 3.750e-05, eta: 0:50:09, time: 0.196, data_time: 0.007, memory: 59439, decode.loss_ce: 0.1844, decode.acc_seg: 92.3569, loss: 0.1844 +2023-03-04 09:48:30,887 - mmseg - INFO - Iter [145900/160000] lr: 3.750e-05, eta: 0:49:58, time: 0.198, data_time: 0.008, memory: 59439, decode.loss_ce: 0.1845, decode.acc_seg: 92.4437, loss: 0.1845 +2023-03-04 09:48:40,536 - mmseg - INFO - Iter [145950/160000] lr: 3.750e-05, eta: 0:49:47, time: 0.193, data_time: 0.008, memory: 59439, decode.loss_ce: 0.1966, decode.acc_seg: 91.9656, loss: 0.1966 +2023-03-04 09:48:50,167 - mmseg - INFO - Exp name: ablation_segformer_mit_b2_segformer_head_unet_fc_small_multi_step_ade_pretrained_freeze_embed_160k_ade20k151_finetune_ema_t20.py +2023-03-04 09:48:50,167 - mmseg - INFO - Iter [146000/160000] lr: 3.750e-05, eta: 0:49:37, time: 0.193, data_time: 0.008, memory: 59439, decode.loss_ce: 0.1839, decode.acc_seg: 92.4995, loss: 0.1839 +2023-03-04 09:48:59,887 - mmseg - INFO - Iter [146050/160000] lr: 3.750e-05, eta: 0:49:26, time: 0.194, data_time: 0.007, memory: 59439, decode.loss_ce: 0.1854, decode.acc_seg: 92.4186, loss: 0.1854 +2023-03-04 09:49:10,005 - mmseg - INFO - Iter [146100/160000] lr: 3.750e-05, eta: 0:49:15, time: 0.202, data_time: 0.007, memory: 59439, decode.loss_ce: 0.1842, decode.acc_seg: 92.3038, loss: 0.1842 +2023-03-04 09:49:19,720 - mmseg - INFO - Iter [146150/160000] lr: 3.750e-05, eta: 0:49:05, time: 0.194, data_time: 0.008, memory: 59439, decode.loss_ce: 0.1896, decode.acc_seg: 92.3607, loss: 0.1896 +2023-03-04 09:49:29,709 - mmseg - INFO - Iter [146200/160000] lr: 3.750e-05, eta: 0:48:54, time: 0.200, data_time: 0.008, memory: 59439, decode.loss_ce: 0.1798, decode.acc_seg: 92.5415, loss: 0.1798 +2023-03-04 09:49:39,218 - mmseg - INFO - Iter [146250/160000] lr: 3.750e-05, eta: 0:48:43, time: 0.190, data_time: 0.007, memory: 59439, decode.loss_ce: 0.1852, decode.acc_seg: 92.5374, loss: 0.1852 +2023-03-04 09:49:48,897 - mmseg - INFO - Iter [146300/160000] lr: 3.750e-05, eta: 0:48:32, time: 0.194, data_time: 0.008, memory: 59439, decode.loss_ce: 0.1853, decode.acc_seg: 92.4172, loss: 0.1853 +2023-03-04 09:49:58,633 - mmseg - INFO - Iter [146350/160000] lr: 3.750e-05, eta: 0:48:22, time: 0.195, data_time: 0.007, memory: 59439, decode.loss_ce: 0.1855, decode.acc_seg: 92.3708, loss: 0.1855 +2023-03-04 09:50:11,197 - mmseg - INFO - Iter [146400/160000] lr: 3.750e-05, eta: 0:48:11, time: 0.251, data_time: 0.056, memory: 59439, decode.loss_ce: 0.1779, decode.acc_seg: 92.5567, loss: 0.1779 +2023-03-04 09:50:21,256 - mmseg - INFO - Iter [146450/160000] lr: 3.750e-05, eta: 0:48:01, time: 0.201, data_time: 0.007, memory: 59439, decode.loss_ce: 0.1842, decode.acc_seg: 92.5548, loss: 0.1842 +2023-03-04 09:50:30,967 - mmseg - INFO - Iter [146500/160000] lr: 3.750e-05, eta: 0:47:50, time: 0.194, data_time: 0.007, memory: 59439, decode.loss_ce: 0.1862, decode.acc_seg: 92.3633, loss: 0.1862 +2023-03-04 09:50:40,479 - mmseg - INFO - Iter [146550/160000] lr: 3.750e-05, eta: 0:47:39, time: 0.190, data_time: 0.008, memory: 59439, decode.loss_ce: 0.1849, decode.acc_seg: 92.3477, loss: 0.1849 +2023-03-04 09:50:50,185 - mmseg - INFO - Iter [146600/160000] lr: 3.750e-05, eta: 0:47:28, time: 0.194, data_time: 0.007, memory: 59439, decode.loss_ce: 0.1883, decode.acc_seg: 92.2451, loss: 0.1883 +2023-03-04 09:50:59,811 - mmseg - INFO - Iter [146650/160000] lr: 3.750e-05, eta: 0:47:18, time: 0.193, data_time: 0.008, memory: 59439, decode.loss_ce: 0.1822, decode.acc_seg: 92.4470, loss: 0.1822 +2023-03-04 09:51:09,789 - mmseg - INFO - Iter [146700/160000] lr: 3.750e-05, eta: 0:47:07, time: 0.200, data_time: 0.008, memory: 59439, decode.loss_ce: 0.1815, decode.acc_seg: 92.5126, loss: 0.1815 +2023-03-04 09:51:19,605 - mmseg - INFO - Iter [146750/160000] lr: 3.750e-05, eta: 0:46:56, time: 0.196, data_time: 0.007, memory: 59439, decode.loss_ce: 0.1778, decode.acc_seg: 92.5737, loss: 0.1778 +2023-03-04 09:51:29,418 - mmseg - INFO - Iter [146800/160000] lr: 3.750e-05, eta: 0:46:46, time: 0.196, data_time: 0.007, memory: 59439, decode.loss_ce: 0.1821, decode.acc_seg: 92.4946, loss: 0.1821 +2023-03-04 09:51:39,059 - mmseg - INFO - Iter [146850/160000] lr: 3.750e-05, eta: 0:46:35, time: 0.193, data_time: 0.008, memory: 59439, decode.loss_ce: 0.1893, decode.acc_seg: 92.1664, loss: 0.1893 +2023-03-04 09:51:48,730 - mmseg - INFO - Iter [146900/160000] lr: 3.750e-05, eta: 0:46:24, time: 0.193, data_time: 0.008, memory: 59439, decode.loss_ce: 0.1885, decode.acc_seg: 92.1901, loss: 0.1885 +2023-03-04 09:51:58,539 - mmseg - INFO - Iter [146950/160000] lr: 3.750e-05, eta: 0:46:13, time: 0.196, data_time: 0.007, memory: 59439, decode.loss_ce: 0.1935, decode.acc_seg: 92.0797, loss: 0.1935 +2023-03-04 09:52:08,171 - mmseg - INFO - Exp name: ablation_segformer_mit_b2_segformer_head_unet_fc_small_multi_step_ade_pretrained_freeze_embed_160k_ade20k151_finetune_ema_t20.py +2023-03-04 09:52:08,172 - mmseg - INFO - Iter [147000/160000] lr: 3.750e-05, eta: 0:46:03, time: 0.193, data_time: 0.008, memory: 59439, decode.loss_ce: 0.1878, decode.acc_seg: 92.3918, loss: 0.1878 +2023-03-04 09:52:20,469 - mmseg - INFO - Iter [147050/160000] lr: 3.750e-05, eta: 0:45:52, time: 0.246, data_time: 0.058, memory: 59439, decode.loss_ce: 0.1881, decode.acc_seg: 92.3547, loss: 0.1881 +2023-03-04 09:52:30,045 - mmseg - INFO - Iter [147100/160000] lr: 3.750e-05, eta: 0:45:41, time: 0.192, data_time: 0.008, memory: 59439, decode.loss_ce: 0.1839, decode.acc_seg: 92.4787, loss: 0.1839 +2023-03-04 09:52:39,833 - mmseg - INFO - Iter [147150/160000] lr: 3.750e-05, eta: 0:45:31, time: 0.196, data_time: 0.008, memory: 59439, decode.loss_ce: 0.1917, decode.acc_seg: 92.2059, loss: 0.1917 +2023-03-04 09:52:49,634 - mmseg - INFO - Iter [147200/160000] lr: 3.750e-05, eta: 0:45:20, time: 0.196, data_time: 0.008, memory: 59439, decode.loss_ce: 0.1819, decode.acc_seg: 92.4714, loss: 0.1819 +2023-03-04 09:52:59,218 - mmseg - INFO - Iter [147250/160000] lr: 3.750e-05, eta: 0:45:09, time: 0.192, data_time: 0.008, memory: 59439, decode.loss_ce: 0.1824, decode.acc_seg: 92.4452, loss: 0.1824 +2023-03-04 09:53:08,931 - mmseg - INFO - Iter [147300/160000] lr: 3.750e-05, eta: 0:44:59, time: 0.194, data_time: 0.007, memory: 59439, decode.loss_ce: 0.1903, decode.acc_seg: 92.1384, loss: 0.1903 +2023-03-04 09:53:18,557 - mmseg - INFO - Iter [147350/160000] lr: 3.750e-05, eta: 0:44:48, time: 0.192, data_time: 0.008, memory: 59439, decode.loss_ce: 0.1807, decode.acc_seg: 92.5965, loss: 0.1807 +2023-03-04 09:53:28,498 - mmseg - INFO - Iter [147400/160000] lr: 3.750e-05, eta: 0:44:37, time: 0.199, data_time: 0.007, memory: 59439, decode.loss_ce: 0.1792, decode.acc_seg: 92.5491, loss: 0.1792 +2023-03-04 09:53:38,348 - mmseg - INFO - Iter [147450/160000] lr: 3.750e-05, eta: 0:44:27, time: 0.197, data_time: 0.007, memory: 59439, decode.loss_ce: 0.1887, decode.acc_seg: 92.1484, loss: 0.1887 +2023-03-04 09:53:48,098 - mmseg - INFO - Iter [147500/160000] lr: 3.750e-05, eta: 0:44:16, time: 0.195, data_time: 0.008, memory: 59439, decode.loss_ce: 0.1785, decode.acc_seg: 92.6843, loss: 0.1785 +2023-03-04 09:53:57,790 - mmseg - INFO - Iter [147550/160000] lr: 3.750e-05, eta: 0:44:05, time: 0.194, data_time: 0.008, memory: 59439, decode.loss_ce: 0.1894, decode.acc_seg: 92.2703, loss: 0.1894 +2023-03-04 09:54:07,348 - mmseg - INFO - Iter [147600/160000] lr: 3.750e-05, eta: 0:43:54, time: 0.191, data_time: 0.008, memory: 59439, decode.loss_ce: 0.1894, decode.acc_seg: 92.2944, loss: 0.1894 +2023-03-04 09:54:16,930 - mmseg - INFO - Iter [147650/160000] lr: 3.750e-05, eta: 0:43:44, time: 0.192, data_time: 0.008, memory: 59439, decode.loss_ce: 0.1856, decode.acc_seg: 92.4480, loss: 0.1856 +2023-03-04 09:54:29,212 - mmseg - INFO - Iter [147700/160000] lr: 3.750e-05, eta: 0:43:33, time: 0.246, data_time: 0.053, memory: 59439, decode.loss_ce: 0.1803, decode.acc_seg: 92.5782, loss: 0.1803 +2023-03-04 09:54:38,800 - mmseg - INFO - Iter [147750/160000] lr: 3.750e-05, eta: 0:43:23, time: 0.192, data_time: 0.008, memory: 59439, decode.loss_ce: 0.1870, decode.acc_seg: 92.2691, loss: 0.1870 +2023-03-04 09:54:48,542 - mmseg - INFO - Iter [147800/160000] lr: 3.750e-05, eta: 0:43:12, time: 0.195, data_time: 0.007, memory: 59439, decode.loss_ce: 0.1752, decode.acc_seg: 92.6299, loss: 0.1752 +2023-03-04 09:54:58,234 - mmseg - INFO - Iter [147850/160000] lr: 3.750e-05, eta: 0:43:01, time: 0.194, data_time: 0.007, memory: 59439, decode.loss_ce: 0.1901, decode.acc_seg: 92.2397, loss: 0.1901 +2023-03-04 09:55:07,794 - mmseg - INFO - Iter [147900/160000] lr: 3.750e-05, eta: 0:42:50, time: 0.191, data_time: 0.008, memory: 59439, decode.loss_ce: 0.1866, decode.acc_seg: 92.3517, loss: 0.1866 +2023-03-04 09:55:17,324 - mmseg - INFO - Iter [147950/160000] lr: 3.750e-05, eta: 0:42:40, time: 0.191, data_time: 0.008, memory: 59439, decode.loss_ce: 0.1847, decode.acc_seg: 92.3986, loss: 0.1847 +2023-03-04 09:55:27,246 - mmseg - INFO - Exp name: ablation_segformer_mit_b2_segformer_head_unet_fc_small_multi_step_ade_pretrained_freeze_embed_160k_ade20k151_finetune_ema_t20.py +2023-03-04 09:55:27,246 - mmseg - INFO - Iter [148000/160000] lr: 3.750e-05, eta: 0:42:29, time: 0.198, data_time: 0.008, memory: 59439, decode.loss_ce: 0.1883, decode.acc_seg: 92.3382, loss: 0.1883 +2023-03-04 09:55:37,169 - mmseg - INFO - Iter [148050/160000] lr: 3.750e-05, eta: 0:42:18, time: 0.198, data_time: 0.008, memory: 59439, decode.loss_ce: 0.1841, decode.acc_seg: 92.3833, loss: 0.1841 +2023-03-04 09:55:46,707 - mmseg - INFO - Iter [148100/160000] lr: 3.750e-05, eta: 0:42:08, time: 0.191, data_time: 0.008, memory: 59439, decode.loss_ce: 0.1870, decode.acc_seg: 92.4189, loss: 0.1870 +2023-03-04 09:55:56,261 - mmseg - INFO - Iter [148150/160000] lr: 3.750e-05, eta: 0:41:57, time: 0.191, data_time: 0.008, memory: 59439, decode.loss_ce: 0.1912, decode.acc_seg: 92.1746, loss: 0.1912 +2023-03-04 09:56:05,998 - mmseg - INFO - Iter [148200/160000] lr: 3.750e-05, eta: 0:41:46, time: 0.195, data_time: 0.008, memory: 59439, decode.loss_ce: 0.1821, decode.acc_seg: 92.4471, loss: 0.1821 +2023-03-04 09:56:15,567 - mmseg - INFO - Iter [148250/160000] lr: 3.750e-05, eta: 0:41:36, time: 0.191, data_time: 0.008, memory: 59439, decode.loss_ce: 0.1795, decode.acc_seg: 92.6115, loss: 0.1795 +2023-03-04 09:56:27,713 - mmseg - INFO - Iter [148300/160000] lr: 3.750e-05, eta: 0:41:25, time: 0.243, data_time: 0.057, memory: 59439, decode.loss_ce: 0.1945, decode.acc_seg: 92.1132, loss: 0.1945 +2023-03-04 09:56:38,070 - mmseg - INFO - Iter [148350/160000] lr: 3.750e-05, eta: 0:41:14, time: 0.207, data_time: 0.007, memory: 59439, decode.loss_ce: 0.1869, decode.acc_seg: 92.3114, loss: 0.1869 +2023-03-04 09:56:47,758 - mmseg - INFO - Iter [148400/160000] lr: 3.750e-05, eta: 0:41:04, time: 0.194, data_time: 0.008, memory: 59439, decode.loss_ce: 0.1792, decode.acc_seg: 92.6742, loss: 0.1792 +2023-03-04 09:56:57,686 - mmseg - INFO - Iter [148450/160000] lr: 3.750e-05, eta: 0:40:53, time: 0.199, data_time: 0.008, memory: 59439, decode.loss_ce: 0.1793, decode.acc_seg: 92.5680, loss: 0.1793 +2023-03-04 09:57:07,441 - mmseg - INFO - Iter [148500/160000] lr: 3.750e-05, eta: 0:40:42, time: 0.195, data_time: 0.008, memory: 59439, decode.loss_ce: 0.1928, decode.acc_seg: 92.2593, loss: 0.1928 +2023-03-04 09:57:17,337 - mmseg - INFO - Iter [148550/160000] lr: 3.750e-05, eta: 0:40:32, time: 0.198, data_time: 0.008, memory: 59439, decode.loss_ce: 0.1796, decode.acc_seg: 92.4863, loss: 0.1796 +2023-03-04 09:57:27,027 - mmseg - INFO - Iter [148600/160000] lr: 3.750e-05, eta: 0:40:21, time: 0.194, data_time: 0.007, memory: 59439, decode.loss_ce: 0.1843, decode.acc_seg: 92.2967, loss: 0.1843 +2023-03-04 09:57:36,923 - mmseg - INFO - Iter [148650/160000] lr: 3.750e-05, eta: 0:40:10, time: 0.198, data_time: 0.007, memory: 59439, decode.loss_ce: 0.1896, decode.acc_seg: 92.1603, loss: 0.1896 +2023-03-04 09:57:46,424 - mmseg - INFO - Iter [148700/160000] lr: 3.750e-05, eta: 0:40:00, time: 0.190, data_time: 0.008, memory: 59439, decode.loss_ce: 0.1716, decode.acc_seg: 92.8529, loss: 0.1716 +2023-03-04 09:57:55,989 - mmseg - INFO - Iter [148750/160000] lr: 3.750e-05, eta: 0:39:49, time: 0.191, data_time: 0.008, memory: 59439, decode.loss_ce: 0.1819, decode.acc_seg: 92.4827, loss: 0.1819 +2023-03-04 09:58:05,536 - mmseg - INFO - Iter [148800/160000] lr: 3.750e-05, eta: 0:39:38, time: 0.191, data_time: 0.008, memory: 59439, decode.loss_ce: 0.1882, decode.acc_seg: 92.2084, loss: 0.1882 +2023-03-04 09:58:15,168 - mmseg - INFO - Iter [148850/160000] lr: 3.750e-05, eta: 0:39:27, time: 0.193, data_time: 0.008, memory: 59439, decode.loss_ce: 0.1921, decode.acc_seg: 92.1868, loss: 0.1921 +2023-03-04 09:58:24,942 - mmseg - INFO - Iter [148900/160000] lr: 3.750e-05, eta: 0:39:17, time: 0.195, data_time: 0.007, memory: 59439, decode.loss_ce: 0.1887, decode.acc_seg: 92.3092, loss: 0.1887 +2023-03-04 09:58:37,094 - mmseg - INFO - Iter [148950/160000] lr: 3.750e-05, eta: 0:39:06, time: 0.243, data_time: 0.057, memory: 59439, decode.loss_ce: 0.1798, decode.acc_seg: 92.6244, loss: 0.1798 +2023-03-04 09:58:47,023 - mmseg - INFO - Exp name: ablation_segformer_mit_b2_segformer_head_unet_fc_small_multi_step_ade_pretrained_freeze_embed_160k_ade20k151_finetune_ema_t20.py +2023-03-04 09:58:47,023 - mmseg - INFO - Iter [149000/160000] lr: 3.750e-05, eta: 0:38:56, time: 0.199, data_time: 0.007, memory: 59439, decode.loss_ce: 0.1819, decode.acc_seg: 92.4841, loss: 0.1819 +2023-03-04 09:58:56,746 - mmseg - INFO - Iter [149050/160000] lr: 3.750e-05, eta: 0:38:45, time: 0.194, data_time: 0.008, memory: 59439, decode.loss_ce: 0.1854, decode.acc_seg: 92.3959, loss: 0.1854 +2023-03-04 09:59:06,747 - mmseg - INFO - Iter [149100/160000] lr: 3.750e-05, eta: 0:38:34, time: 0.200, data_time: 0.008, memory: 59439, decode.loss_ce: 0.1789, decode.acc_seg: 92.6348, loss: 0.1789 +2023-03-04 09:59:16,373 - mmseg - INFO - Iter [149150/160000] lr: 3.750e-05, eta: 0:38:24, time: 0.193, data_time: 0.007, memory: 59439, decode.loss_ce: 0.1899, decode.acc_seg: 92.2061, loss: 0.1899 +2023-03-04 09:59:26,357 - mmseg - INFO - Iter [149200/160000] lr: 3.750e-05, eta: 0:38:13, time: 0.199, data_time: 0.007, memory: 59439, decode.loss_ce: 0.1941, decode.acc_seg: 92.0004, loss: 0.1941 +2023-03-04 09:59:36,524 - mmseg - INFO - Iter [149250/160000] lr: 3.750e-05, eta: 0:38:02, time: 0.204, data_time: 0.008, memory: 59439, decode.loss_ce: 0.1843, decode.acc_seg: 92.3948, loss: 0.1843 +2023-03-04 09:59:46,054 - mmseg - INFO - Iter [149300/160000] lr: 3.750e-05, eta: 0:37:52, time: 0.191, data_time: 0.008, memory: 59439, decode.loss_ce: 0.1792, decode.acc_seg: 92.5504, loss: 0.1792 +2023-03-04 09:59:56,235 - mmseg - INFO - Iter [149350/160000] lr: 3.750e-05, eta: 0:37:41, time: 0.204, data_time: 0.008, memory: 59439, decode.loss_ce: 0.1841, decode.acc_seg: 92.3771, loss: 0.1841 +2023-03-04 10:00:06,127 - mmseg - INFO - Iter [149400/160000] lr: 3.750e-05, eta: 0:37:30, time: 0.198, data_time: 0.007, memory: 59439, decode.loss_ce: 0.1818, decode.acc_seg: 92.5235, loss: 0.1818 +2023-03-04 10:00:15,985 - mmseg - INFO - Iter [149450/160000] lr: 3.750e-05, eta: 0:37:20, time: 0.197, data_time: 0.008, memory: 59439, decode.loss_ce: 0.1785, decode.acc_seg: 92.5635, loss: 0.1785 +2023-03-04 10:00:25,833 - mmseg - INFO - Iter [149500/160000] lr: 3.750e-05, eta: 0:37:09, time: 0.197, data_time: 0.008, memory: 59439, decode.loss_ce: 0.1835, decode.acc_seg: 92.4825, loss: 0.1835 +2023-03-04 10:00:37,937 - mmseg - INFO - Iter [149550/160000] lr: 3.750e-05, eta: 0:36:58, time: 0.242, data_time: 0.054, memory: 59439, decode.loss_ce: 0.1864, decode.acc_seg: 92.3418, loss: 0.1864 +2023-03-04 10:00:47,474 - mmseg - INFO - Iter [149600/160000] lr: 3.750e-05, eta: 0:36:48, time: 0.191, data_time: 0.007, memory: 59439, decode.loss_ce: 0.1772, decode.acc_seg: 92.6107, loss: 0.1772 +2023-03-04 10:00:57,332 - mmseg - INFO - Iter [149650/160000] lr: 3.750e-05, eta: 0:36:37, time: 0.197, data_time: 0.008, memory: 59439, decode.loss_ce: 0.1844, decode.acc_seg: 92.4509, loss: 0.1844 +2023-03-04 10:01:07,418 - mmseg - INFO - Iter [149700/160000] lr: 3.750e-05, eta: 0:36:26, time: 0.202, data_time: 0.007, memory: 59439, decode.loss_ce: 0.1864, decode.acc_seg: 92.3725, loss: 0.1864 +2023-03-04 10:01:17,479 - mmseg - INFO - Iter [149750/160000] lr: 3.750e-05, eta: 0:36:16, time: 0.201, data_time: 0.007, memory: 59439, decode.loss_ce: 0.1893, decode.acc_seg: 92.2962, loss: 0.1893 +2023-03-04 10:01:27,376 - mmseg - INFO - Iter [149800/160000] lr: 3.750e-05, eta: 0:36:05, time: 0.198, data_time: 0.008, memory: 59439, decode.loss_ce: 0.1819, decode.acc_seg: 92.6123, loss: 0.1819 +2023-03-04 10:01:37,118 - mmseg - INFO - Iter [149850/160000] lr: 3.750e-05, eta: 0:35:54, time: 0.195, data_time: 0.007, memory: 59439, decode.loss_ce: 0.1877, decode.acc_seg: 92.3369, loss: 0.1877 +2023-03-04 10:01:46,739 - mmseg - INFO - Iter [149900/160000] lr: 3.750e-05, eta: 0:35:44, time: 0.192, data_time: 0.007, memory: 59439, decode.loss_ce: 0.1876, decode.acc_seg: 92.3384, loss: 0.1876 +2023-03-04 10:01:56,343 - mmseg - INFO - Iter [149950/160000] lr: 3.750e-05, eta: 0:35:33, time: 0.192, data_time: 0.008, memory: 59439, decode.loss_ce: 0.1896, decode.acc_seg: 92.3990, loss: 0.1896 +2023-03-04 10:02:06,094 - mmseg - INFO - Exp name: ablation_segformer_mit_b2_segformer_head_unet_fc_small_multi_step_ade_pretrained_freeze_embed_160k_ade20k151_finetune_ema_t20.py +2023-03-04 10:02:06,094 - mmseg - INFO - Iter [150000/160000] lr: 3.750e-05, eta: 0:35:22, time: 0.195, data_time: 0.007, memory: 59439, decode.loss_ce: 0.1951, decode.acc_seg: 92.1137, loss: 0.1951 +2023-03-04 10:02:15,740 - mmseg - INFO - Iter [150050/160000] lr: 1.875e-05, eta: 0:35:12, time: 0.193, data_time: 0.007, memory: 59439, decode.loss_ce: 0.1819, decode.acc_seg: 92.5366, loss: 0.1819 +2023-03-04 10:02:25,565 - mmseg - INFO - Iter [150100/160000] lr: 1.875e-05, eta: 0:35:01, time: 0.196, data_time: 0.007, memory: 59439, decode.loss_ce: 0.1859, decode.acc_seg: 92.3111, loss: 0.1859 +2023-03-04 10:02:35,379 - mmseg - INFO - Iter [150150/160000] lr: 1.875e-05, eta: 0:34:50, time: 0.196, data_time: 0.007, memory: 59439, decode.loss_ce: 0.1811, decode.acc_seg: 92.4518, loss: 0.1811 +2023-03-04 10:02:47,474 - mmseg - INFO - Iter [150200/160000] lr: 1.875e-05, eta: 0:34:40, time: 0.242, data_time: 0.054, memory: 59439, decode.loss_ce: 0.1837, decode.acc_seg: 92.5573, loss: 0.1837 +2023-03-04 10:02:57,316 - mmseg - INFO - Iter [150250/160000] lr: 1.875e-05, eta: 0:34:29, time: 0.197, data_time: 0.008, memory: 59439, decode.loss_ce: 0.1890, decode.acc_seg: 92.2138, loss: 0.1890 +2023-03-04 10:03:06,977 - mmseg - INFO - Iter [150300/160000] lr: 1.875e-05, eta: 0:34:19, time: 0.193, data_time: 0.007, memory: 59439, decode.loss_ce: 0.1782, decode.acc_seg: 92.6413, loss: 0.1782 +2023-03-04 10:03:16,595 - mmseg - INFO - Iter [150350/160000] lr: 1.875e-05, eta: 0:34:08, time: 0.192, data_time: 0.008, memory: 59439, decode.loss_ce: 0.1945, decode.acc_seg: 92.2456, loss: 0.1945 +2023-03-04 10:03:26,432 - mmseg - INFO - Iter [150400/160000] lr: 1.875e-05, eta: 0:33:57, time: 0.197, data_time: 0.008, memory: 59439, decode.loss_ce: 0.1872, decode.acc_seg: 92.3217, loss: 0.1872 +2023-03-04 10:03:36,440 - mmseg - INFO - Iter [150450/160000] lr: 1.875e-05, eta: 0:33:47, time: 0.200, data_time: 0.008, memory: 59439, decode.loss_ce: 0.1833, decode.acc_seg: 92.6279, loss: 0.1833 +2023-03-04 10:03:46,354 - mmseg - INFO - Iter [150500/160000] lr: 1.875e-05, eta: 0:33:36, time: 0.198, data_time: 0.007, memory: 59439, decode.loss_ce: 0.1812, decode.acc_seg: 92.5185, loss: 0.1812 +2023-03-04 10:03:56,162 - mmseg - INFO - Iter [150550/160000] lr: 1.875e-05, eta: 0:33:25, time: 0.196, data_time: 0.008, memory: 59439, decode.loss_ce: 0.1794, decode.acc_seg: 92.7163, loss: 0.1794 +2023-03-04 10:04:05,998 - mmseg - INFO - Iter [150600/160000] lr: 1.875e-05, eta: 0:33:15, time: 0.197, data_time: 0.008, memory: 59439, decode.loss_ce: 0.1755, decode.acc_seg: 92.6821, loss: 0.1755 +2023-03-04 10:04:15,684 - mmseg - INFO - Iter [150650/160000] lr: 1.875e-05, eta: 0:33:04, time: 0.194, data_time: 0.008, memory: 59439, decode.loss_ce: 0.1806, decode.acc_seg: 92.5644, loss: 0.1806 +2023-03-04 10:04:25,562 - mmseg - INFO - Iter [150700/160000] lr: 1.875e-05, eta: 0:32:53, time: 0.198, data_time: 0.008, memory: 59439, decode.loss_ce: 0.1883, decode.acc_seg: 92.4110, loss: 0.1883 +2023-03-04 10:04:35,200 - mmseg - INFO - Iter [150750/160000] lr: 1.875e-05, eta: 0:32:43, time: 0.193, data_time: 0.007, memory: 59439, decode.loss_ce: 0.1811, decode.acc_seg: 92.6062, loss: 0.1811 +2023-03-04 10:04:44,759 - mmseg - INFO - Iter [150800/160000] lr: 1.875e-05, eta: 0:32:32, time: 0.191, data_time: 0.008, memory: 59439, decode.loss_ce: 0.1842, decode.acc_seg: 92.4389, loss: 0.1842 +2023-03-04 10:04:57,329 - mmseg - INFO - Iter [150850/160000] lr: 1.875e-05, eta: 0:32:21, time: 0.251, data_time: 0.055, memory: 59439, decode.loss_ce: 0.1850, decode.acc_seg: 92.4101, loss: 0.1850 +2023-03-04 10:05:07,117 - mmseg - INFO - Iter [150900/160000] lr: 1.875e-05, eta: 0:32:11, time: 0.196, data_time: 0.008, memory: 59439, decode.loss_ce: 0.1834, decode.acc_seg: 92.4390, loss: 0.1834 +2023-03-04 10:05:16,772 - mmseg - INFO - Iter [150950/160000] lr: 1.875e-05, eta: 0:32:00, time: 0.193, data_time: 0.008, memory: 59439, decode.loss_ce: 0.1882, decode.acc_seg: 92.2652, loss: 0.1882 +2023-03-04 10:05:26,485 - mmseg - INFO - Exp name: ablation_segformer_mit_b2_segformer_head_unet_fc_small_multi_step_ade_pretrained_freeze_embed_160k_ade20k151_finetune_ema_t20.py +2023-03-04 10:05:26,485 - mmseg - INFO - Iter [151000/160000] lr: 1.875e-05, eta: 0:31:49, time: 0.194, data_time: 0.007, memory: 59439, decode.loss_ce: 0.1868, decode.acc_seg: 92.3197, loss: 0.1868 +2023-03-04 10:05:36,506 - mmseg - INFO - Iter [151050/160000] lr: 1.875e-05, eta: 0:31:39, time: 0.200, data_time: 0.007, memory: 59439, decode.loss_ce: 0.1802, decode.acc_seg: 92.4331, loss: 0.1802 +2023-03-04 10:05:46,100 - mmseg - INFO - Iter [151100/160000] lr: 1.875e-05, eta: 0:31:28, time: 0.192, data_time: 0.007, memory: 59439, decode.loss_ce: 0.1826, decode.acc_seg: 92.4130, loss: 0.1826 +2023-03-04 10:05:55,840 - mmseg - INFO - Iter [151150/160000] lr: 1.875e-05, eta: 0:31:17, time: 0.195, data_time: 0.007, memory: 59439, decode.loss_ce: 0.1859, decode.acc_seg: 92.3496, loss: 0.1859 +2023-03-04 10:06:05,740 - mmseg - INFO - Iter [151200/160000] lr: 1.875e-05, eta: 0:31:07, time: 0.198, data_time: 0.007, memory: 59439, decode.loss_ce: 0.1800, decode.acc_seg: 92.6318, loss: 0.1800 +2023-03-04 10:06:15,458 - mmseg - INFO - Iter [151250/160000] lr: 1.875e-05, eta: 0:30:56, time: 0.194, data_time: 0.007, memory: 59439, decode.loss_ce: 0.1776, decode.acc_seg: 92.5543, loss: 0.1776 +2023-03-04 10:06:25,222 - mmseg - INFO - Iter [151300/160000] lr: 1.875e-05, eta: 0:30:45, time: 0.196, data_time: 0.008, memory: 59439, decode.loss_ce: 0.1802, decode.acc_seg: 92.4775, loss: 0.1802 +2023-03-04 10:06:34,745 - mmseg - INFO - Iter [151350/160000] lr: 1.875e-05, eta: 0:30:35, time: 0.190, data_time: 0.008, memory: 59439, decode.loss_ce: 0.1832, decode.acc_seg: 92.5834, loss: 0.1832 +2023-03-04 10:06:44,267 - mmseg - INFO - Iter [151400/160000] lr: 1.875e-05, eta: 0:30:24, time: 0.190, data_time: 0.008, memory: 59439, decode.loss_ce: 0.1762, decode.acc_seg: 92.7263, loss: 0.1762 +2023-03-04 10:06:56,612 - mmseg - INFO - Iter [151450/160000] lr: 1.875e-05, eta: 0:30:14, time: 0.247, data_time: 0.056, memory: 59439, decode.loss_ce: 0.1797, decode.acc_seg: 92.6164, loss: 0.1797 +2023-03-04 10:07:06,174 - mmseg - INFO - Iter [151500/160000] lr: 1.875e-05, eta: 0:30:03, time: 0.191, data_time: 0.007, memory: 59439, decode.loss_ce: 0.1858, decode.acc_seg: 92.2874, loss: 0.1858 +2023-03-04 10:07:16,103 - mmseg - INFO - Iter [151550/160000] lr: 1.875e-05, eta: 0:29:52, time: 0.199, data_time: 0.008, memory: 59439, decode.loss_ce: 0.1810, decode.acc_seg: 92.4554, loss: 0.1810 +2023-03-04 10:07:25,764 - mmseg - INFO - Iter [151600/160000] lr: 1.875e-05, eta: 0:29:42, time: 0.193, data_time: 0.007, memory: 59439, decode.loss_ce: 0.1729, decode.acc_seg: 92.7764, loss: 0.1729 +2023-03-04 10:07:35,502 - mmseg - INFO - Iter [151650/160000] lr: 1.875e-05, eta: 0:29:31, time: 0.195, data_time: 0.007, memory: 59439, decode.loss_ce: 0.1834, decode.acc_seg: 92.5386, loss: 0.1834 +2023-03-04 10:07:45,137 - mmseg - INFO - Iter [151700/160000] lr: 1.875e-05, eta: 0:29:20, time: 0.193, data_time: 0.008, memory: 59439, decode.loss_ce: 0.1795, decode.acc_seg: 92.5698, loss: 0.1795 +2023-03-04 10:07:54,688 - mmseg - INFO - Iter [151750/160000] lr: 1.875e-05, eta: 0:29:10, time: 0.191, data_time: 0.008, memory: 59439, decode.loss_ce: 0.1794, decode.acc_seg: 92.5523, loss: 0.1794 +2023-03-04 10:08:04,293 - mmseg - INFO - Iter [151800/160000] lr: 1.875e-05, eta: 0:28:59, time: 0.192, data_time: 0.008, memory: 59439, decode.loss_ce: 0.1807, decode.acc_seg: 92.5704, loss: 0.1807 +2023-03-04 10:08:13,989 - mmseg - INFO - Iter [151850/160000] lr: 1.875e-05, eta: 0:28:48, time: 0.194, data_time: 0.007, memory: 59439, decode.loss_ce: 0.1840, decode.acc_seg: 92.3634, loss: 0.1840 +2023-03-04 10:08:23,753 - mmseg - INFO - Iter [151900/160000] lr: 1.875e-05, eta: 0:28:38, time: 0.195, data_time: 0.007, memory: 59439, decode.loss_ce: 0.1843, decode.acc_seg: 92.4926, loss: 0.1843 +2023-03-04 10:08:33,361 - mmseg - INFO - Iter [151950/160000] lr: 1.875e-05, eta: 0:28:27, time: 0.192, data_time: 0.008, memory: 59439, decode.loss_ce: 0.1750, decode.acc_seg: 92.8190, loss: 0.1750 +2023-03-04 10:08:42,977 - mmseg - INFO - Exp name: ablation_segformer_mit_b2_segformer_head_unet_fc_small_multi_step_ade_pretrained_freeze_embed_160k_ade20k151_finetune_ema_t20.py +2023-03-04 10:08:42,977 - mmseg - INFO - Iter [152000/160000] lr: 1.875e-05, eta: 0:28:16, time: 0.192, data_time: 0.008, memory: 59439, decode.loss_ce: 0.1764, decode.acc_seg: 92.6882, loss: 0.1764 +2023-03-04 10:08:52,880 - mmseg - INFO - Iter [152050/160000] lr: 1.875e-05, eta: 0:28:06, time: 0.198, data_time: 0.008, memory: 59439, decode.loss_ce: 0.1832, decode.acc_seg: 92.4994, loss: 0.1832 +2023-03-04 10:09:05,245 - mmseg - INFO - Iter [152100/160000] lr: 1.875e-05, eta: 0:27:55, time: 0.247, data_time: 0.053, memory: 59439, decode.loss_ce: 0.1772, decode.acc_seg: 92.7138, loss: 0.1772 +2023-03-04 10:09:14,774 - mmseg - INFO - Iter [152150/160000] lr: 1.875e-05, eta: 0:27:45, time: 0.191, data_time: 0.008, memory: 59439, decode.loss_ce: 0.1803, decode.acc_seg: 92.5679, loss: 0.1803 +2023-03-04 10:09:24,324 - mmseg - INFO - Iter [152200/160000] lr: 1.875e-05, eta: 0:27:34, time: 0.191, data_time: 0.008, memory: 59439, decode.loss_ce: 0.1820, decode.acc_seg: 92.5343, loss: 0.1820 +2023-03-04 10:09:34,212 - mmseg - INFO - Iter [152250/160000] lr: 1.875e-05, eta: 0:27:23, time: 0.197, data_time: 0.008, memory: 59439, decode.loss_ce: 0.1748, decode.acc_seg: 92.6775, loss: 0.1748 +2023-03-04 10:09:44,231 - mmseg - INFO - Iter [152300/160000] lr: 1.875e-05, eta: 0:27:13, time: 0.201, data_time: 0.008, memory: 59439, decode.loss_ce: 0.1787, decode.acc_seg: 92.6258, loss: 0.1787 +2023-03-04 10:09:54,359 - mmseg - INFO - Iter [152350/160000] lr: 1.875e-05, eta: 0:27:02, time: 0.203, data_time: 0.008, memory: 59439, decode.loss_ce: 0.1839, decode.acc_seg: 92.4933, loss: 0.1839 +2023-03-04 10:10:04,118 - mmseg - INFO - Iter [152400/160000] lr: 1.875e-05, eta: 0:26:51, time: 0.195, data_time: 0.008, memory: 59439, decode.loss_ce: 0.1817, decode.acc_seg: 92.5610, loss: 0.1817 +2023-03-04 10:10:13,678 - mmseg - INFO - Iter [152450/160000] lr: 1.875e-05, eta: 0:26:41, time: 0.191, data_time: 0.008, memory: 59439, decode.loss_ce: 0.1877, decode.acc_seg: 92.3902, loss: 0.1877 +2023-03-04 10:10:23,328 - mmseg - INFO - Iter [152500/160000] lr: 1.875e-05, eta: 0:26:30, time: 0.193, data_time: 0.008, memory: 59439, decode.loss_ce: 0.1831, decode.acc_seg: 92.4294, loss: 0.1831 +2023-03-04 10:10:33,273 - mmseg - INFO - Iter [152550/160000] lr: 1.875e-05, eta: 0:26:19, time: 0.199, data_time: 0.008, memory: 59439, decode.loss_ce: 0.1804, decode.acc_seg: 92.6822, loss: 0.1804 +2023-03-04 10:10:42,803 - mmseg - INFO - Iter [152600/160000] lr: 1.875e-05, eta: 0:26:09, time: 0.191, data_time: 0.008, memory: 59439, decode.loss_ce: 0.1867, decode.acc_seg: 92.3834, loss: 0.1867 +2023-03-04 10:10:52,860 - mmseg - INFO - Iter [152650/160000] lr: 1.875e-05, eta: 0:25:58, time: 0.201, data_time: 0.008, memory: 59439, decode.loss_ce: 0.1751, decode.acc_seg: 92.6804, loss: 0.1751 +2023-03-04 10:11:02,513 - mmseg - INFO - Iter [152700/160000] lr: 1.875e-05, eta: 0:25:47, time: 0.193, data_time: 0.008, memory: 59439, decode.loss_ce: 0.1815, decode.acc_seg: 92.5640, loss: 0.1815 +2023-03-04 10:11:14,865 - mmseg - INFO - Iter [152750/160000] lr: 1.875e-05, eta: 0:25:37, time: 0.247, data_time: 0.053, memory: 59439, decode.loss_ce: 0.1903, decode.acc_seg: 92.3628, loss: 0.1903 +2023-03-04 10:11:24,792 - mmseg - INFO - Iter [152800/160000] lr: 1.875e-05, eta: 0:25:26, time: 0.199, data_time: 0.008, memory: 59439, decode.loss_ce: 0.1797, decode.acc_seg: 92.6798, loss: 0.1797 +2023-03-04 10:11:34,384 - mmseg - INFO - Iter [152850/160000] lr: 1.875e-05, eta: 0:25:16, time: 0.192, data_time: 0.008, memory: 59439, decode.loss_ce: 0.1784, decode.acc_seg: 92.6616, loss: 0.1784 +2023-03-04 10:11:44,225 - mmseg - INFO - Iter [152900/160000] lr: 1.875e-05, eta: 0:25:05, time: 0.197, data_time: 0.008, memory: 59439, decode.loss_ce: 0.1811, decode.acc_seg: 92.4509, loss: 0.1811 +2023-03-04 10:11:53,775 - mmseg - INFO - Iter [152950/160000] lr: 1.875e-05, eta: 0:24:54, time: 0.191, data_time: 0.008, memory: 59439, decode.loss_ce: 0.1802, decode.acc_seg: 92.5365, loss: 0.1802 +2023-03-04 10:12:03,600 - mmseg - INFO - Exp name: ablation_segformer_mit_b2_segformer_head_unet_fc_small_multi_step_ade_pretrained_freeze_embed_160k_ade20k151_finetune_ema_t20.py +2023-03-04 10:12:03,600 - mmseg - INFO - Iter [153000/160000] lr: 1.875e-05, eta: 0:24:44, time: 0.196, data_time: 0.008, memory: 59439, decode.loss_ce: 0.1886, decode.acc_seg: 92.1722, loss: 0.1886 +2023-03-04 10:12:13,199 - mmseg - INFO - Iter [153050/160000] lr: 1.875e-05, eta: 0:24:33, time: 0.192, data_time: 0.008, memory: 59439, decode.loss_ce: 0.1805, decode.acc_seg: 92.6787, loss: 0.1805 +2023-03-04 10:12:23,714 - mmseg - INFO - Iter [153100/160000] lr: 1.875e-05, eta: 0:24:22, time: 0.210, data_time: 0.008, memory: 59439, decode.loss_ce: 0.1893, decode.acc_seg: 92.3374, loss: 0.1893 +2023-03-04 10:12:33,180 - mmseg - INFO - Iter [153150/160000] lr: 1.875e-05, eta: 0:24:12, time: 0.189, data_time: 0.008, memory: 59439, decode.loss_ce: 0.1873, decode.acc_seg: 92.1970, loss: 0.1873 +2023-03-04 10:12:42,986 - mmseg - INFO - Iter [153200/160000] lr: 1.875e-05, eta: 0:24:01, time: 0.196, data_time: 0.007, memory: 59439, decode.loss_ce: 0.1801, decode.acc_seg: 92.5295, loss: 0.1801 +2023-03-04 10:12:52,847 - mmseg - INFO - Iter [153250/160000] lr: 1.875e-05, eta: 0:23:51, time: 0.197, data_time: 0.008, memory: 59439, decode.loss_ce: 0.1870, decode.acc_seg: 92.2788, loss: 0.1870 +2023-03-04 10:13:02,600 - mmseg - INFO - Iter [153300/160000] lr: 1.875e-05, eta: 0:23:40, time: 0.195, data_time: 0.008, memory: 59439, decode.loss_ce: 0.1761, decode.acc_seg: 92.6652, loss: 0.1761 +2023-03-04 10:13:15,007 - mmseg - INFO - Iter [153350/160000] lr: 1.875e-05, eta: 0:23:29, time: 0.248, data_time: 0.055, memory: 59439, decode.loss_ce: 0.1861, decode.acc_seg: 92.5331, loss: 0.1861 +2023-03-04 10:13:24,805 - mmseg - INFO - Iter [153400/160000] lr: 1.875e-05, eta: 0:23:19, time: 0.196, data_time: 0.008, memory: 59439, decode.loss_ce: 0.1774, decode.acc_seg: 92.6179, loss: 0.1774 +2023-03-04 10:13:34,438 - mmseg - INFO - Iter [153450/160000] lr: 1.875e-05, eta: 0:23:08, time: 0.193, data_time: 0.008, memory: 59439, decode.loss_ce: 0.1790, decode.acc_seg: 92.5830, loss: 0.1790 +2023-03-04 10:13:44,211 - mmseg - INFO - Iter [153500/160000] lr: 1.875e-05, eta: 0:22:57, time: 0.195, data_time: 0.008, memory: 59439, decode.loss_ce: 0.1813, decode.acc_seg: 92.5915, loss: 0.1813 +2023-03-04 10:13:54,024 - mmseg - INFO - Iter [153550/160000] lr: 1.875e-05, eta: 0:22:47, time: 0.196, data_time: 0.008, memory: 59439, decode.loss_ce: 0.1771, decode.acc_seg: 92.6836, loss: 0.1771 +2023-03-04 10:14:03,704 - mmseg - INFO - Iter [153600/160000] lr: 1.875e-05, eta: 0:22:36, time: 0.194, data_time: 0.007, memory: 59439, decode.loss_ce: 0.1792, decode.acc_seg: 92.6343, loss: 0.1792 +2023-03-04 10:14:13,468 - mmseg - INFO - Iter [153650/160000] lr: 1.875e-05, eta: 0:22:26, time: 0.195, data_time: 0.007, memory: 59439, decode.loss_ce: 0.1802, decode.acc_seg: 92.5213, loss: 0.1802 +2023-03-04 10:14:23,295 - mmseg - INFO - Iter [153700/160000] lr: 1.875e-05, eta: 0:22:15, time: 0.197, data_time: 0.007, memory: 59439, decode.loss_ce: 0.1837, decode.acc_seg: 92.4191, loss: 0.1837 +2023-03-04 10:14:32,878 - mmseg - INFO - Iter [153750/160000] lr: 1.875e-05, eta: 0:22:04, time: 0.192, data_time: 0.008, memory: 59439, decode.loss_ce: 0.1866, decode.acc_seg: 92.4701, loss: 0.1866 +2023-03-04 10:14:43,038 - mmseg - INFO - Iter [153800/160000] lr: 1.875e-05, eta: 0:21:54, time: 0.203, data_time: 0.008, memory: 59439, decode.loss_ce: 0.1841, decode.acc_seg: 92.4546, loss: 0.1841 +2023-03-04 10:14:52,993 - mmseg - INFO - Iter [153850/160000] lr: 1.875e-05, eta: 0:21:43, time: 0.199, data_time: 0.008, memory: 59439, decode.loss_ce: 0.1800, decode.acc_seg: 92.5476, loss: 0.1800 +2023-03-04 10:15:02,611 - mmseg - INFO - Iter [153900/160000] lr: 1.875e-05, eta: 0:21:32, time: 0.192, data_time: 0.008, memory: 59439, decode.loss_ce: 0.1803, decode.acc_seg: 92.5750, loss: 0.1803 +2023-03-04 10:15:12,254 - mmseg - INFO - Iter [153950/160000] lr: 1.875e-05, eta: 0:21:22, time: 0.193, data_time: 0.008, memory: 59439, decode.loss_ce: 0.1848, decode.acc_seg: 92.4767, loss: 0.1848 +2023-03-04 10:15:24,373 - mmseg - INFO - Exp name: ablation_segformer_mit_b2_segformer_head_unet_fc_small_multi_step_ade_pretrained_freeze_embed_160k_ade20k151_finetune_ema_t20.py +2023-03-04 10:15:24,373 - mmseg - INFO - Iter [154000/160000] lr: 1.875e-05, eta: 0:21:11, time: 0.242, data_time: 0.054, memory: 59439, decode.loss_ce: 0.1818, decode.acc_seg: 92.5230, loss: 0.1818 +2023-03-04 10:15:34,226 - mmseg - INFO - Iter [154050/160000] lr: 1.875e-05, eta: 0:21:01, time: 0.197, data_time: 0.007, memory: 59439, decode.loss_ce: 0.1787, decode.acc_seg: 92.6040, loss: 0.1787 +2023-03-04 10:15:43,902 - mmseg - INFO - Iter [154100/160000] lr: 1.875e-05, eta: 0:20:50, time: 0.194, data_time: 0.007, memory: 59439, decode.loss_ce: 0.1826, decode.acc_seg: 92.5619, loss: 0.1826 +2023-03-04 10:15:53,730 - mmseg - INFO - Iter [154150/160000] lr: 1.875e-05, eta: 0:20:39, time: 0.197, data_time: 0.008, memory: 59439, decode.loss_ce: 0.1841, decode.acc_seg: 92.4368, loss: 0.1841 +2023-03-04 10:16:03,341 - mmseg - INFO - Iter [154200/160000] lr: 1.875e-05, eta: 0:20:29, time: 0.192, data_time: 0.008, memory: 59439, decode.loss_ce: 0.1771, decode.acc_seg: 92.6385, loss: 0.1771 +2023-03-04 10:16:13,207 - mmseg - INFO - Iter [154250/160000] lr: 1.875e-05, eta: 0:20:18, time: 0.197, data_time: 0.008, memory: 59439, decode.loss_ce: 0.1811, decode.acc_seg: 92.5890, loss: 0.1811 +2023-03-04 10:16:22,885 - mmseg - INFO - Iter [154300/160000] lr: 1.875e-05, eta: 0:20:07, time: 0.194, data_time: 0.008, memory: 59439, decode.loss_ce: 0.1806, decode.acc_seg: 92.5743, loss: 0.1806 +2023-03-04 10:16:32,849 - mmseg - INFO - Iter [154350/160000] lr: 1.875e-05, eta: 0:19:57, time: 0.199, data_time: 0.007, memory: 59439, decode.loss_ce: 0.1913, decode.acc_seg: 92.2190, loss: 0.1913 +2023-03-04 10:16:42,442 - mmseg - INFO - Iter [154400/160000] lr: 1.875e-05, eta: 0:19:46, time: 0.192, data_time: 0.007, memory: 59439, decode.loss_ce: 0.1795, decode.acc_seg: 92.6265, loss: 0.1795 +2023-03-04 10:16:52,176 - mmseg - INFO - Iter [154450/160000] lr: 1.875e-05, eta: 0:19:36, time: 0.195, data_time: 0.007, memory: 59439, decode.loss_ce: 0.1690, decode.acc_seg: 92.9861, loss: 0.1690 +2023-03-04 10:17:01,845 - mmseg - INFO - Iter [154500/160000] lr: 1.875e-05, eta: 0:19:25, time: 0.193, data_time: 0.007, memory: 59439, decode.loss_ce: 0.1784, decode.acc_seg: 92.6143, loss: 0.1784 +2023-03-04 10:17:11,450 - mmseg - INFO - Iter [154550/160000] lr: 1.875e-05, eta: 0:19:14, time: 0.192, data_time: 0.008, memory: 59439, decode.loss_ce: 0.1792, decode.acc_seg: 92.4708, loss: 0.1792 +2023-03-04 10:17:23,685 - mmseg - INFO - Iter [154600/160000] lr: 1.875e-05, eta: 0:19:04, time: 0.245, data_time: 0.056, memory: 59439, decode.loss_ce: 0.1805, decode.acc_seg: 92.6451, loss: 0.1805 +2023-03-04 10:17:33,307 - mmseg - INFO - Iter [154650/160000] lr: 1.875e-05, eta: 0:18:53, time: 0.192, data_time: 0.007, memory: 59439, decode.loss_ce: 0.1786, decode.acc_seg: 92.6733, loss: 0.1786 +2023-03-04 10:17:42,992 - mmseg - INFO - Iter [154700/160000] lr: 1.875e-05, eta: 0:18:43, time: 0.194, data_time: 0.008, memory: 59439, decode.loss_ce: 0.1872, decode.acc_seg: 92.3211, loss: 0.1872 +2023-03-04 10:17:52,763 - mmseg - INFO - Iter [154750/160000] lr: 1.875e-05, eta: 0:18:32, time: 0.195, data_time: 0.008, memory: 59439, decode.loss_ce: 0.1891, decode.acc_seg: 92.3149, loss: 0.1891 +2023-03-04 10:18:02,339 - mmseg - INFO - Iter [154800/160000] lr: 1.875e-05, eta: 0:18:21, time: 0.192, data_time: 0.008, memory: 59439, decode.loss_ce: 0.1805, decode.acc_seg: 92.5403, loss: 0.1805 +2023-03-04 10:18:11,874 - mmseg - INFO - Iter [154850/160000] lr: 1.875e-05, eta: 0:18:11, time: 0.191, data_time: 0.008, memory: 59439, decode.loss_ce: 0.1827, decode.acc_seg: 92.5136, loss: 0.1827 +2023-03-04 10:18:21,395 - mmseg - INFO - Iter [154900/160000] lr: 1.875e-05, eta: 0:18:00, time: 0.190, data_time: 0.008, memory: 59439, decode.loss_ce: 0.1794, decode.acc_seg: 92.6054, loss: 0.1794 +2023-03-04 10:18:31,011 - mmseg - INFO - Iter [154950/160000] lr: 1.875e-05, eta: 0:17:49, time: 0.192, data_time: 0.008, memory: 59439, decode.loss_ce: 0.1755, decode.acc_seg: 92.7023, loss: 0.1755 +2023-03-04 10:18:40,789 - mmseg - INFO - Exp name: ablation_segformer_mit_b2_segformer_head_unet_fc_small_multi_step_ade_pretrained_freeze_embed_160k_ade20k151_finetune_ema_t20.py +2023-03-04 10:18:40,790 - mmseg - INFO - Iter [155000/160000] lr: 1.875e-05, eta: 0:17:39, time: 0.195, data_time: 0.007, memory: 59439, decode.loss_ce: 0.1878, decode.acc_seg: 92.4051, loss: 0.1878 +2023-03-04 10:18:50,469 - mmseg - INFO - Iter [155050/160000] lr: 1.875e-05, eta: 0:17:28, time: 0.194, data_time: 0.007, memory: 59439, decode.loss_ce: 0.1875, decode.acc_seg: 92.2642, loss: 0.1875 +2023-03-04 10:19:00,091 - mmseg - INFO - Iter [155100/160000] lr: 1.875e-05, eta: 0:17:18, time: 0.192, data_time: 0.008, memory: 59439, decode.loss_ce: 0.1794, decode.acc_seg: 92.6640, loss: 0.1794 +2023-03-04 10:19:09,689 - mmseg - INFO - Iter [155150/160000] lr: 1.875e-05, eta: 0:17:07, time: 0.192, data_time: 0.008, memory: 59439, decode.loss_ce: 0.1773, decode.acc_seg: 92.6830, loss: 0.1773 +2023-03-04 10:19:19,362 - mmseg - INFO - Iter [155200/160000] lr: 1.875e-05, eta: 0:16:56, time: 0.193, data_time: 0.007, memory: 59439, decode.loss_ce: 0.1843, decode.acc_seg: 92.4052, loss: 0.1843 +2023-03-04 10:19:31,840 - mmseg - INFO - Iter [155250/160000] lr: 1.875e-05, eta: 0:16:46, time: 0.250, data_time: 0.055, memory: 59439, decode.loss_ce: 0.1736, decode.acc_seg: 92.7223, loss: 0.1736 +2023-03-04 10:19:41,414 - mmseg - INFO - Iter [155300/160000] lr: 1.875e-05, eta: 0:16:35, time: 0.191, data_time: 0.008, memory: 59439, decode.loss_ce: 0.1872, decode.acc_seg: 92.3786, loss: 0.1872 +2023-03-04 10:19:51,330 - mmseg - INFO - Iter [155350/160000] lr: 1.875e-05, eta: 0:16:25, time: 0.198, data_time: 0.007, memory: 59439, decode.loss_ce: 0.1796, decode.acc_seg: 92.6212, loss: 0.1796 +2023-03-04 10:20:01,242 - mmseg - INFO - Iter [155400/160000] lr: 1.875e-05, eta: 0:16:14, time: 0.198, data_time: 0.007, memory: 59439, decode.loss_ce: 0.1836, decode.acc_seg: 92.4521, loss: 0.1836 +2023-03-04 10:20:10,909 - mmseg - INFO - Iter [155450/160000] lr: 1.875e-05, eta: 0:16:03, time: 0.193, data_time: 0.007, memory: 59439, decode.loss_ce: 0.1885, decode.acc_seg: 92.1211, loss: 0.1885 +2023-03-04 10:20:20,405 - mmseg - INFO - Iter [155500/160000] lr: 1.875e-05, eta: 0:15:53, time: 0.190, data_time: 0.008, memory: 59439, decode.loss_ce: 0.1834, decode.acc_seg: 92.3567, loss: 0.1834 +2023-03-04 10:20:29,921 - mmseg - INFO - Iter [155550/160000] lr: 1.875e-05, eta: 0:15:42, time: 0.190, data_time: 0.007, memory: 59439, decode.loss_ce: 0.1836, decode.acc_seg: 92.4545, loss: 0.1836 +2023-03-04 10:20:39,693 - mmseg - INFO - Iter [155600/160000] lr: 1.875e-05, eta: 0:15:31, time: 0.195, data_time: 0.008, memory: 59439, decode.loss_ce: 0.1802, decode.acc_seg: 92.6058, loss: 0.1802 +2023-03-04 10:20:49,791 - mmseg - INFO - Iter [155650/160000] lr: 1.875e-05, eta: 0:15:21, time: 0.202, data_time: 0.008, memory: 59439, decode.loss_ce: 0.1763, decode.acc_seg: 92.6861, loss: 0.1763 +2023-03-04 10:20:59,875 - mmseg - INFO - Iter [155700/160000] lr: 1.875e-05, eta: 0:15:10, time: 0.202, data_time: 0.007, memory: 59439, decode.loss_ce: 0.1755, decode.acc_seg: 92.7641, loss: 0.1755 +2023-03-04 10:21:09,355 - mmseg - INFO - Iter [155750/160000] lr: 1.875e-05, eta: 0:15:00, time: 0.190, data_time: 0.008, memory: 59439, decode.loss_ce: 0.1810, decode.acc_seg: 92.5617, loss: 0.1810 +2023-03-04 10:21:18,871 - mmseg - INFO - Iter [155800/160000] lr: 1.875e-05, eta: 0:14:49, time: 0.190, data_time: 0.008, memory: 59439, decode.loss_ce: 0.1841, decode.acc_seg: 92.4525, loss: 0.1841 +2023-03-04 10:21:28,379 - mmseg - INFO - Iter [155850/160000] lr: 1.875e-05, eta: 0:14:38, time: 0.190, data_time: 0.008, memory: 59439, decode.loss_ce: 0.1771, decode.acc_seg: 92.7200, loss: 0.1771 +2023-03-04 10:21:40,551 - mmseg - INFO - Iter [155900/160000] lr: 1.875e-05, eta: 0:14:28, time: 0.243, data_time: 0.054, memory: 59439, decode.loss_ce: 0.1781, decode.acc_seg: 92.5695, loss: 0.1781 +2023-03-04 10:21:50,440 - mmseg - INFO - Iter [155950/160000] lr: 1.875e-05, eta: 0:14:17, time: 0.198, data_time: 0.008, memory: 59439, decode.loss_ce: 0.1792, decode.acc_seg: 92.5909, loss: 0.1792 +2023-03-04 10:21:59,944 - mmseg - INFO - Exp name: ablation_segformer_mit_b2_segformer_head_unet_fc_small_multi_step_ade_pretrained_freeze_embed_160k_ade20k151_finetune_ema_t20.py +2023-03-04 10:21:59,944 - mmseg - INFO - Iter [156000/160000] lr: 1.875e-05, eta: 0:14:07, time: 0.190, data_time: 0.008, memory: 59439, decode.loss_ce: 0.1787, decode.acc_seg: 92.5567, loss: 0.1787 +2023-03-04 10:22:09,789 - mmseg - INFO - Iter [156050/160000] lr: 1.875e-05, eta: 0:13:56, time: 0.197, data_time: 0.007, memory: 59439, decode.loss_ce: 0.1882, decode.acc_seg: 92.2598, loss: 0.1882 +2023-03-04 10:22:19,841 - mmseg - INFO - Iter [156100/160000] lr: 1.875e-05, eta: 0:13:45, time: 0.201, data_time: 0.008, memory: 59439, decode.loss_ce: 0.1793, decode.acc_seg: 92.5757, loss: 0.1793 +2023-03-04 10:22:29,563 - mmseg - INFO - Iter [156150/160000] lr: 1.875e-05, eta: 0:13:35, time: 0.194, data_time: 0.008, memory: 59439, decode.loss_ce: 0.1843, decode.acc_seg: 92.4764, loss: 0.1843 +2023-03-04 10:22:39,268 - mmseg - INFO - Iter [156200/160000] lr: 1.875e-05, eta: 0:13:24, time: 0.194, data_time: 0.007, memory: 59439, decode.loss_ce: 0.1849, decode.acc_seg: 92.4843, loss: 0.1849 +2023-03-04 10:22:48,928 - mmseg - INFO - Iter [156250/160000] lr: 1.875e-05, eta: 0:13:14, time: 0.193, data_time: 0.008, memory: 59439, decode.loss_ce: 0.1835, decode.acc_seg: 92.4352, loss: 0.1835 +2023-03-04 10:22:58,846 - mmseg - INFO - Iter [156300/160000] lr: 1.875e-05, eta: 0:13:03, time: 0.198, data_time: 0.007, memory: 59439, decode.loss_ce: 0.1761, decode.acc_seg: 92.7631, loss: 0.1761 +2023-03-04 10:23:08,654 - mmseg - INFO - Iter [156350/160000] lr: 1.875e-05, eta: 0:12:52, time: 0.196, data_time: 0.007, memory: 59439, decode.loss_ce: 0.1845, decode.acc_seg: 92.3454, loss: 0.1845 +2023-03-04 10:23:18,239 - mmseg - INFO - Iter [156400/160000] lr: 1.875e-05, eta: 0:12:42, time: 0.192, data_time: 0.008, memory: 59439, decode.loss_ce: 0.1800, decode.acc_seg: 92.6808, loss: 0.1800 +2023-03-04 10:23:27,736 - mmseg - INFO - Iter [156450/160000] lr: 1.875e-05, eta: 0:12:31, time: 0.190, data_time: 0.007, memory: 59439, decode.loss_ce: 0.1821, decode.acc_seg: 92.4714, loss: 0.1821 +2023-03-04 10:23:39,948 - mmseg - INFO - Iter [156500/160000] lr: 1.875e-05, eta: 0:12:21, time: 0.244, data_time: 0.055, memory: 59439, decode.loss_ce: 0.1787, decode.acc_seg: 92.7500, loss: 0.1787 +2023-03-04 10:23:49,612 - mmseg - INFO - Iter [156550/160000] lr: 1.875e-05, eta: 0:12:10, time: 0.193, data_time: 0.007, memory: 59439, decode.loss_ce: 0.1895, decode.acc_seg: 92.2930, loss: 0.1895 +2023-03-04 10:23:59,571 - mmseg - INFO - Iter [156600/160000] lr: 1.875e-05, eta: 0:11:59, time: 0.199, data_time: 0.007, memory: 59439, decode.loss_ce: 0.1897, decode.acc_seg: 92.2916, loss: 0.1897 +2023-03-04 10:24:09,782 - mmseg - INFO - Iter [156650/160000] lr: 1.875e-05, eta: 0:11:49, time: 0.204, data_time: 0.008, memory: 59439, decode.loss_ce: 0.1772, decode.acc_seg: 92.6546, loss: 0.1772 +2023-03-04 10:24:19,852 - mmseg - INFO - Iter [156700/160000] lr: 1.875e-05, eta: 0:11:38, time: 0.201, data_time: 0.008, memory: 59439, decode.loss_ce: 0.1707, decode.acc_seg: 92.9683, loss: 0.1707 +2023-03-04 10:24:30,016 - mmseg - INFO - Iter [156750/160000] lr: 1.875e-05, eta: 0:11:28, time: 0.203, data_time: 0.008, memory: 59439, decode.loss_ce: 0.1779, decode.acc_seg: 92.6937, loss: 0.1779 +2023-03-04 10:24:39,637 - mmseg - INFO - Iter [156800/160000] lr: 1.875e-05, eta: 0:11:17, time: 0.192, data_time: 0.008, memory: 59439, decode.loss_ce: 0.1727, decode.acc_seg: 92.9532, loss: 0.1727 +2023-03-04 10:24:49,455 - mmseg - INFO - Iter [156850/160000] lr: 1.875e-05, eta: 0:11:06, time: 0.196, data_time: 0.007, memory: 59439, decode.loss_ce: 0.1809, decode.acc_seg: 92.4562, loss: 0.1809 +2023-03-04 10:24:59,033 - mmseg - INFO - Iter [156900/160000] lr: 1.875e-05, eta: 0:10:56, time: 0.191, data_time: 0.007, memory: 59439, decode.loss_ce: 0.1806, decode.acc_seg: 92.5773, loss: 0.1806 +2023-03-04 10:25:08,728 - mmseg - INFO - Iter [156950/160000] lr: 1.875e-05, eta: 0:10:45, time: 0.194, data_time: 0.008, memory: 59439, decode.loss_ce: 0.1906, decode.acc_seg: 92.1962, loss: 0.1906 +2023-03-04 10:25:18,448 - mmseg - INFO - Exp name: ablation_segformer_mit_b2_segformer_head_unet_fc_small_multi_step_ade_pretrained_freeze_embed_160k_ade20k151_finetune_ema_t20.py +2023-03-04 10:25:18,448 - mmseg - INFO - Iter [157000/160000] lr: 1.875e-05, eta: 0:10:35, time: 0.194, data_time: 0.007, memory: 59439, decode.loss_ce: 0.1759, decode.acc_seg: 92.7587, loss: 0.1759 +2023-03-04 10:25:28,023 - mmseg - INFO - Iter [157050/160000] lr: 1.875e-05, eta: 0:10:24, time: 0.192, data_time: 0.008, memory: 59439, decode.loss_ce: 0.1804, decode.acc_seg: 92.5929, loss: 0.1804 +2023-03-04 10:25:38,067 - mmseg - INFO - Iter [157100/160000] lr: 1.875e-05, eta: 0:10:13, time: 0.201, data_time: 0.008, memory: 59439, decode.loss_ce: 0.1756, decode.acc_seg: 92.7160, loss: 0.1756 +2023-03-04 10:25:50,176 - mmseg - INFO - Iter [157150/160000] lr: 1.875e-05, eta: 0:10:03, time: 0.242, data_time: 0.056, memory: 59439, decode.loss_ce: 0.1761, decode.acc_seg: 92.7954, loss: 0.1761 +2023-03-04 10:25:59,936 - mmseg - INFO - Iter [157200/160000] lr: 1.875e-05, eta: 0:09:52, time: 0.195, data_time: 0.007, memory: 59439, decode.loss_ce: 0.1762, decode.acc_seg: 92.7084, loss: 0.1762 +2023-03-04 10:26:09,746 - mmseg - INFO - Iter [157250/160000] lr: 1.875e-05, eta: 0:09:42, time: 0.196, data_time: 0.008, memory: 59439, decode.loss_ce: 0.1848, decode.acc_seg: 92.5117, loss: 0.1848 +2023-03-04 10:26:19,424 - mmseg - INFO - Iter [157300/160000] lr: 1.875e-05, eta: 0:09:31, time: 0.194, data_time: 0.008, memory: 59439, decode.loss_ce: 0.1807, decode.acc_seg: 92.6594, loss: 0.1807 +2023-03-04 10:26:29,096 - mmseg - INFO - Iter [157350/160000] lr: 1.875e-05, eta: 0:09:20, time: 0.194, data_time: 0.008, memory: 59439, decode.loss_ce: 0.1806, decode.acc_seg: 92.6409, loss: 0.1806 +2023-03-04 10:26:38,775 - mmseg - INFO - Iter [157400/160000] lr: 1.875e-05, eta: 0:09:10, time: 0.194, data_time: 0.008, memory: 59439, decode.loss_ce: 0.1872, decode.acc_seg: 92.3564, loss: 0.1872 +2023-03-04 10:26:48,493 - mmseg - INFO - Iter [157450/160000] lr: 1.875e-05, eta: 0:08:59, time: 0.194, data_time: 0.007, memory: 59439, decode.loss_ce: 0.1819, decode.acc_seg: 92.5482, loss: 0.1819 +2023-03-04 10:26:58,656 - mmseg - INFO - Iter [157500/160000] lr: 1.875e-05, eta: 0:08:49, time: 0.203, data_time: 0.007, memory: 59439, decode.loss_ce: 0.1776, decode.acc_seg: 92.5189, loss: 0.1776 +2023-03-04 10:27:08,241 - mmseg - INFO - Iter [157550/160000] lr: 1.875e-05, eta: 0:08:38, time: 0.192, data_time: 0.008, memory: 59439, decode.loss_ce: 0.1821, decode.acc_seg: 92.5588, loss: 0.1821 +2023-03-04 10:27:17,790 - mmseg - INFO - Iter [157600/160000] lr: 1.875e-05, eta: 0:08:27, time: 0.191, data_time: 0.007, memory: 59439, decode.loss_ce: 0.1795, decode.acc_seg: 92.6933, loss: 0.1795 +2023-03-04 10:27:27,388 - mmseg - INFO - Iter [157650/160000] lr: 1.875e-05, eta: 0:08:17, time: 0.192, data_time: 0.008, memory: 59439, decode.loss_ce: 0.1841, decode.acc_seg: 92.4907, loss: 0.1841 +2023-03-04 10:27:37,095 - mmseg - INFO - Iter [157700/160000] lr: 1.875e-05, eta: 0:08:06, time: 0.194, data_time: 0.007, memory: 59439, decode.loss_ce: 0.1839, decode.acc_seg: 92.3888, loss: 0.1839 +2023-03-04 10:27:46,581 - mmseg - INFO - Iter [157750/160000] lr: 1.875e-05, eta: 0:07:56, time: 0.190, data_time: 0.008, memory: 59439, decode.loss_ce: 0.1824, decode.acc_seg: 92.4208, loss: 0.1824 +2023-03-04 10:27:58,912 - mmseg - INFO - Iter [157800/160000] lr: 1.875e-05, eta: 0:07:45, time: 0.247, data_time: 0.057, memory: 59439, decode.loss_ce: 0.1771, decode.acc_seg: 92.7781, loss: 0.1771 +2023-03-04 10:28:08,641 - mmseg - INFO - Iter [157850/160000] lr: 1.875e-05, eta: 0:07:35, time: 0.195, data_time: 0.008, memory: 59439, decode.loss_ce: 0.1853, decode.acc_seg: 92.4682, loss: 0.1853 +2023-03-04 10:28:18,419 - mmseg - INFO - Iter [157900/160000] lr: 1.875e-05, eta: 0:07:24, time: 0.196, data_time: 0.007, memory: 59439, decode.loss_ce: 0.1924, decode.acc_seg: 92.1483, loss: 0.1924 +2023-03-04 10:28:28,074 - mmseg - INFO - Iter [157950/160000] lr: 1.875e-05, eta: 0:07:13, time: 0.193, data_time: 0.007, memory: 59439, decode.loss_ce: 0.1798, decode.acc_seg: 92.6212, loss: 0.1798 +2023-03-04 10:28:37,721 - mmseg - INFO - Exp name: ablation_segformer_mit_b2_segformer_head_unet_fc_small_multi_step_ade_pretrained_freeze_embed_160k_ade20k151_finetune_ema_t20.py +2023-03-04 10:28:37,722 - mmseg - INFO - Iter [158000/160000] lr: 1.875e-05, eta: 0:07:03, time: 0.193, data_time: 0.008, memory: 59439, decode.loss_ce: 0.1802, decode.acc_seg: 92.5542, loss: 0.1802 +2023-03-04 10:28:47,610 - mmseg - INFO - Iter [158050/160000] lr: 1.875e-05, eta: 0:06:52, time: 0.198, data_time: 0.008, memory: 59439, decode.loss_ce: 0.1858, decode.acc_seg: 92.5538, loss: 0.1858 +2023-03-04 10:28:57,178 - mmseg - INFO - Iter [158100/160000] lr: 1.875e-05, eta: 0:06:42, time: 0.191, data_time: 0.008, memory: 59439, decode.loss_ce: 0.1803, decode.acc_seg: 92.5652, loss: 0.1803 +2023-03-04 10:29:06,815 - mmseg - INFO - Iter [158150/160000] lr: 1.875e-05, eta: 0:06:31, time: 0.193, data_time: 0.008, memory: 59439, decode.loss_ce: 0.1774, decode.acc_seg: 92.5171, loss: 0.1774 +2023-03-04 10:29:16,493 - mmseg - INFO - Iter [158200/160000] lr: 1.875e-05, eta: 0:06:20, time: 0.194, data_time: 0.007, memory: 59439, decode.loss_ce: 0.1824, decode.acc_seg: 92.4589, loss: 0.1824 +2023-03-04 10:29:26,202 - mmseg - INFO - Iter [158250/160000] lr: 1.875e-05, eta: 0:06:10, time: 0.194, data_time: 0.007, memory: 59439, decode.loss_ce: 0.1800, decode.acc_seg: 92.5305, loss: 0.1800 +2023-03-04 10:29:35,851 - mmseg - INFO - Iter [158300/160000] lr: 1.875e-05, eta: 0:05:59, time: 0.193, data_time: 0.008, memory: 59439, decode.loss_ce: 0.1767, decode.acc_seg: 92.5433, loss: 0.1767 +2023-03-04 10:29:45,565 - mmseg - INFO - Iter [158350/160000] lr: 1.875e-05, eta: 0:05:49, time: 0.194, data_time: 0.007, memory: 59439, decode.loss_ce: 0.1824, decode.acc_seg: 92.5003, loss: 0.1824 +2023-03-04 10:29:57,665 - mmseg - INFO - Iter [158400/160000] lr: 1.875e-05, eta: 0:05:38, time: 0.242, data_time: 0.055, memory: 59439, decode.loss_ce: 0.1797, decode.acc_seg: 92.6148, loss: 0.1797 +2023-03-04 10:30:07,466 - mmseg - INFO - Iter [158450/160000] lr: 1.875e-05, eta: 0:05:27, time: 0.196, data_time: 0.008, memory: 59439, decode.loss_ce: 0.1706, decode.acc_seg: 92.8701, loss: 0.1706 +2023-03-04 10:30:17,110 - mmseg - INFO - Iter [158500/160000] lr: 1.875e-05, eta: 0:05:17, time: 0.193, data_time: 0.007, memory: 59439, decode.loss_ce: 0.1804, decode.acc_seg: 92.5284, loss: 0.1804 +2023-03-04 10:30:26,660 - mmseg - INFO - Iter [158550/160000] lr: 1.875e-05, eta: 0:05:06, time: 0.191, data_time: 0.008, memory: 59439, decode.loss_ce: 0.1863, decode.acc_seg: 92.2895, loss: 0.1863 +2023-03-04 10:30:36,248 - mmseg - INFO - Iter [158600/160000] lr: 1.875e-05, eta: 0:04:56, time: 0.192, data_time: 0.007, memory: 59439, decode.loss_ce: 0.1821, decode.acc_seg: 92.5107, loss: 0.1821 +2023-03-04 10:30:45,828 - mmseg - INFO - Iter [158650/160000] lr: 1.875e-05, eta: 0:04:45, time: 0.192, data_time: 0.007, memory: 59439, decode.loss_ce: 0.1837, decode.acc_seg: 92.4663, loss: 0.1837 +2023-03-04 10:30:55,584 - mmseg - INFO - Iter [158700/160000] lr: 1.875e-05, eta: 0:04:35, time: 0.195, data_time: 0.008, memory: 59439, decode.loss_ce: 0.1802, decode.acc_seg: 92.4312, loss: 0.1802 +2023-03-04 10:31:05,381 - mmseg - INFO - Iter [158750/160000] lr: 1.875e-05, eta: 0:04:24, time: 0.196, data_time: 0.008, memory: 59439, decode.loss_ce: 0.1857, decode.acc_seg: 92.4023, loss: 0.1857 +2023-03-04 10:31:15,149 - mmseg - INFO - Iter [158800/160000] lr: 1.875e-05, eta: 0:04:13, time: 0.195, data_time: 0.008, memory: 59439, decode.loss_ce: 0.1790, decode.acc_seg: 92.7363, loss: 0.1790 +2023-03-04 10:31:24,965 - mmseg - INFO - Iter [158850/160000] lr: 1.875e-05, eta: 0:04:03, time: 0.197, data_time: 0.008, memory: 59439, decode.loss_ce: 0.1770, decode.acc_seg: 92.7119, loss: 0.1770 +2023-03-04 10:31:34,468 - mmseg - INFO - Iter [158900/160000] lr: 1.875e-05, eta: 0:03:52, time: 0.190, data_time: 0.008, memory: 59439, decode.loss_ce: 0.1800, decode.acc_seg: 92.5105, loss: 0.1800 +2023-03-04 10:31:44,052 - mmseg - INFO - Iter [158950/160000] lr: 1.875e-05, eta: 0:03:42, time: 0.192, data_time: 0.007, memory: 59439, decode.loss_ce: 0.1857, decode.acc_seg: 92.3691, loss: 0.1857 +2023-03-04 10:31:53,611 - mmseg - INFO - Exp name: ablation_segformer_mit_b2_segformer_head_unet_fc_small_multi_step_ade_pretrained_freeze_embed_160k_ade20k151_finetune_ema_t20.py +2023-03-04 10:31:53,611 - mmseg - INFO - Iter [159000/160000] lr: 1.875e-05, eta: 0:03:31, time: 0.191, data_time: 0.007, memory: 59439, decode.loss_ce: 0.1762, decode.acc_seg: 92.6069, loss: 0.1762 +2023-03-04 10:32:05,801 - mmseg - INFO - Iter [159050/160000] lr: 1.875e-05, eta: 0:03:20, time: 0.244, data_time: 0.058, memory: 59439, decode.loss_ce: 0.1771, decode.acc_seg: 92.6000, loss: 0.1771 +2023-03-04 10:32:15,622 - mmseg - INFO - Iter [159100/160000] lr: 1.875e-05, eta: 0:03:10, time: 0.196, data_time: 0.008, memory: 59439, decode.loss_ce: 0.1864, decode.acc_seg: 92.4081, loss: 0.1864 +2023-03-04 10:32:25,469 - mmseg - INFO - Iter [159150/160000] lr: 1.875e-05, eta: 0:02:59, time: 0.197, data_time: 0.008, memory: 59439, decode.loss_ce: 0.1814, decode.acc_seg: 92.5645, loss: 0.1814 +2023-03-04 10:32:35,126 - mmseg - INFO - Iter [159200/160000] lr: 1.875e-05, eta: 0:02:49, time: 0.193, data_time: 0.007, memory: 59439, decode.loss_ce: 0.1810, decode.acc_seg: 92.5146, loss: 0.1810 +2023-03-04 10:32:44,639 - mmseg - INFO - Iter [159250/160000] lr: 1.875e-05, eta: 0:02:38, time: 0.190, data_time: 0.007, memory: 59439, decode.loss_ce: 0.1806, decode.acc_seg: 92.5807, loss: 0.1806 +2023-03-04 10:32:54,579 - mmseg - INFO - Iter [159300/160000] lr: 1.875e-05, eta: 0:02:28, time: 0.199, data_time: 0.008, memory: 59439, decode.loss_ce: 0.1711, decode.acc_seg: 92.8603, loss: 0.1711 +2023-03-04 10:33:04,329 - mmseg - INFO - Iter [159350/160000] lr: 1.875e-05, eta: 0:02:17, time: 0.195, data_time: 0.007, memory: 59439, decode.loss_ce: 0.1803, decode.acc_seg: 92.6283, loss: 0.1803 +2023-03-04 10:33:14,055 - mmseg - INFO - Iter [159400/160000] lr: 1.875e-05, eta: 0:02:06, time: 0.194, data_time: 0.007, memory: 59439, decode.loss_ce: 0.1784, decode.acc_seg: 92.5697, loss: 0.1784 +2023-03-04 10:33:23,704 - mmseg - INFO - Iter [159450/160000] lr: 1.875e-05, eta: 0:01:56, time: 0.193, data_time: 0.008, memory: 59439, decode.loss_ce: 0.1794, decode.acc_seg: 92.5230, loss: 0.1794 +2023-03-04 10:33:33,247 - mmseg - INFO - Iter [159500/160000] lr: 1.875e-05, eta: 0:01:45, time: 0.191, data_time: 0.008, memory: 59439, decode.loss_ce: 0.1756, decode.acc_seg: 92.5897, loss: 0.1756 +2023-03-04 10:33:42,804 - mmseg - INFO - Iter [159550/160000] lr: 1.875e-05, eta: 0:01:35, time: 0.191, data_time: 0.008, memory: 59439, decode.loss_ce: 0.1741, decode.acc_seg: 92.8259, loss: 0.1741 +2023-03-04 10:33:52,791 - mmseg - INFO - Iter [159600/160000] lr: 1.875e-05, eta: 0:01:24, time: 0.200, data_time: 0.008, memory: 59439, decode.loss_ce: 0.1832, decode.acc_seg: 92.3941, loss: 0.1832 +2023-03-04 10:34:05,158 - mmseg - INFO - Iter [159650/160000] lr: 1.875e-05, eta: 0:01:14, time: 0.247, data_time: 0.058, memory: 59439, decode.loss_ce: 0.1784, decode.acc_seg: 92.5327, loss: 0.1784 +2023-03-04 10:34:15,320 - mmseg - INFO - Iter [159700/160000] lr: 1.875e-05, eta: 0:01:03, time: 0.203, data_time: 0.007, memory: 59439, decode.loss_ce: 0.1696, decode.acc_seg: 92.9608, loss: 0.1696 +2023-03-04 10:34:24,935 - mmseg - INFO - Iter [159750/160000] lr: 1.875e-05, eta: 0:00:52, time: 0.192, data_time: 0.007, memory: 59439, decode.loss_ce: 0.1757, decode.acc_seg: 92.5919, loss: 0.1757 +2023-03-04 10:34:34,712 - mmseg - INFO - Iter [159800/160000] lr: 1.875e-05, eta: 0:00:42, time: 0.196, data_time: 0.007, memory: 59439, decode.loss_ce: 0.1754, decode.acc_seg: 92.6903, loss: 0.1754 +2023-03-04 10:34:44,341 - mmseg - INFO - Iter [159850/160000] lr: 1.875e-05, eta: 0:00:31, time: 0.193, data_time: 0.007, memory: 59439, decode.loss_ce: 0.1875, decode.acc_seg: 92.3763, loss: 0.1875 +2023-03-04 10:34:54,007 - mmseg - INFO - Iter [159900/160000] lr: 1.875e-05, eta: 0:00:21, time: 0.193, data_time: 0.007, memory: 59439, decode.loss_ce: 0.1802, decode.acc_seg: 92.5881, loss: 0.1802 +2023-03-04 10:35:03,560 - mmseg - INFO - Iter [159950/160000] lr: 1.875e-05, eta: 0:00:10, time: 0.191, data_time: 0.008, memory: 59439, decode.loss_ce: 0.1803, decode.acc_seg: 92.6323, loss: 0.1803 +2023-03-04 10:35:13,108 - mmseg - INFO - Swap parameters (after train) after iter [160000] +2023-03-04 10:35:13,121 - mmseg - INFO - Saving checkpoint at 160000 iterations +2023-03-04 10:35:14,164 - mmseg - INFO - Exp name: ablation_segformer_mit_b2_segformer_head_unet_fc_small_multi_step_ade_pretrained_freeze_embed_160k_ade20k151_finetune_ema_t20.py +2023-03-04 10:35:14,164 - mmseg - INFO - Iter [160000/160000] lr: 1.875e-05, eta: 0:00:00, time: 0.212, data_time: 0.008, memory: 59439, decode.loss_ce: 0.1815, decode.acc_seg: 92.4652, loss: 0.1815 +2023-03-04 10:38:42,484 - mmseg - INFO - per class results: +2023-03-04 10:38:42,497 - mmseg - INFO - ++---------------------+-------------------------------------------------------------------------------------------------------------------------+ +| Class | IoU 0,1,2,3,4,5,6,7,8,9,10,11,12,13,14,15,16,17,18,19 | ++---------------------+-------------------------------------------------------------------------------------------------------------------------+ +| background | nan,nan,nan,nan,nan,nan,nan,nan,nan,nan,nan,nan,nan,nan,nan,nan,nan,nan,nan,nan | +| wall | 77.6,77.61,77.63,77.64,77.66,77.66,77.67,77.68,77.68,77.7,77.7,77.71,77.73,77.74,77.74,77.76,77.75,77.77,77.76,77.78 | +| building | 81.71,81.72,81.73,81.73,81.73,81.74,81.73,81.75,81.75,81.74,81.76,81.75,81.77,81.76,81.76,81.76,81.76,81.77,81.77,81.77 | +| sky | 94.39,94.39,94.39,94.4,94.4,94.4,94.4,94.4,94.41,94.41,94.41,94.41,94.42,94.42,94.43,94.43,94.43,94.43,94.44,94.44 | +| floor | 81.78,81.81,81.81,81.86,81.85,81.9,81.9,81.93,81.92,81.95,81.95,81.95,81.98,81.96,82.0,81.97,82.0,81.97,81.99,81.96 | +| tree | 74.33,74.35,74.38,74.38,74.38,74.41,74.4,74.41,74.42,74.43,74.43,74.42,74.43,74.44,74.44,74.44,74.44,74.44,74.44,74.43 | +| ceiling | 85.31,85.34,85.36,85.36,85.39,85.4,85.39,85.39,85.4,85.39,85.41,85.41,85.42,85.41,85.42,85.44,85.44,85.45,85.45,85.46 | +| road | 82.32,82.36,82.38,82.36,82.36,82.39,82.36,82.43,82.35,82.41,82.34,82.43,82.33,82.41,82.35,82.44,82.35,82.44,82.35,82.42 | +| bed | 88.06,88.12,88.11,88.17,88.18,88.15,88.2,88.16,88.15,88.2,88.2,88.2,88.19,88.17,88.19,88.15,88.16,88.13,88.17,88.13 | +| windowpane | 61.1,61.05,61.1,61.07,61.12,61.12,61.18,61.15,61.2,61.23,61.27,61.26,61.29,61.3,61.3,61.34,61.33,61.36,61.36,61.39 | +| grass | 67.21,67.24,67.28,67.27,67.29,67.29,67.31,67.3,67.34,67.34,67.34,67.35,67.33,67.38,67.36,67.37,67.36,67.38,67.37,67.39 | +| cabinet | 61.37,61.48,61.58,61.76,61.72,61.89,61.9,62.01,61.98,62.04,62.1,62.07,62.04,62.03,62.02,61.93,61.92,61.87,61.9,61.82 | +| sidewalk | 64.52,64.57,64.6,64.52,64.53,64.59,64.52,64.6,64.51,64.51,64.48,64.6,64.48,64.63,64.49,64.65,64.5,64.68,64.5,64.67 | +| person | 80.05,80.06,80.08,80.07,80.09,80.1,80.09,80.11,80.11,80.12,80.13,80.11,80.14,80.11,80.15,80.11,80.13,80.11,80.12,80.09 | +| earth | 35.78,35.85,35.8,35.83,35.77,35.76,35.66,35.71,35.69,35.7,35.67,35.64,35.58,35.57,35.53,35.5,35.48,35.44,35.46,35.41 | +| door | 46.0,45.98,46.0,46.06,46.01,46.02,46.03,46.07,46.01,46.06,46.07,46.06,46.06,46.09,46.07,46.1,46.08,46.13,46.11,46.11 | +| table | 61.69,61.79,61.8,61.82,61.9,61.94,61.9,61.99,61.94,62.01,61.99,62.01,62.01,62.06,62.0,62.06,62.01,62.1,62.04,62.1 | +| mountain | 56.99,56.94,57.02,57.0,57.04,57.04,57.13,57.07,57.25,57.23,57.28,57.28,57.41,57.31,57.49,57.4,57.59,57.45,57.65,57.51 | +| plant | 49.57,49.57,49.57,49.53,49.46,49.46,49.45,49.41,49.41,49.35,49.4,49.33,49.35,49.28,49.29,49.26,49.3,49.22,49.27,49.21 | +| curtain | 74.42,74.44,74.48,74.45,74.44,74.51,74.54,74.52,74.61,74.63,74.62,74.69,74.71,74.73,74.73,74.74,74.78,74.77,74.8,74.8 | +| chair | 56.91,56.96,56.96,56.94,56.96,57.0,56.99,57.01,57.0,56.98,57.0,56.99,57.06,57.0,57.06,57.02,57.06,57.0,57.03,56.95 | +| car | 82.11,82.08,82.1,82.16,82.11,82.12,82.11,82.12,82.13,82.13,82.15,82.18,82.16,82.18,82.18,82.2,82.19,82.18,82.19,82.19 | +| water | 56.9,56.89,56.94,56.97,56.99,57.03,57.08,57.1,57.14,57.15,57.18,57.21,57.25,57.28,57.29,57.3,57.33,57.35,57.38,57.38 | +| painting | 71.02,71.01,71.01,71.05,71.08,71.11,71.19,71.15,71.2,71.2,71.23,71.27,71.27,71.29,71.37,71.34,71.39,71.36,71.43,71.41 | +| sofa | 65.63,65.74,65.8,65.88,65.87,65.96,65.89,65.97,65.99,66.06,66.06,66.1,66.12,66.08,66.11,66.03,66.04,65.97,66.01,65.97 | +| shelf | 44.64,44.59,44.62,44.68,44.7,44.77,44.84,44.78,44.85,44.84,44.94,44.91,44.93,44.95,44.98,44.99,44.94,45.0,44.96,45.0 | +| house | 41.76,41.82,41.88,41.96,41.99,42.01,42.09,42.14,42.21,42.18,42.23,42.21,42.24,42.25,42.23,42.28,42.22,42.26,42.22,42.24 | +| sea | 59.93,60.01,60.03,60.05,60.06,60.14,60.19,60.24,60.29,60.32,60.39,60.45,60.49,60.54,60.57,60.61,60.62,60.67,60.69,60.71 | +| mirror | 67.53,67.56,67.72,67.79,67.73,67.91,67.91,67.82,67.92,67.84,67.87,67.87,67.88,67.93,67.88,67.88,67.98,67.81,68.01,67.79 | +| rug | 64.11,64.31,64.38,64.59,64.49,64.96,64.87,65.02,65.14,65.21,65.28,65.26,65.26,65.27,65.41,65.22,65.38,65.03,65.13,64.87 | +| field | 31.31,31.35,31.39,31.41,31.47,31.48,31.52,31.51,31.58,31.59,31.62,31.65,31.69,31.75,31.8,31.85,31.89,31.92,31.95,31.96 | +| armchair | 38.54,38.7,38.59,38.56,38.7,38.67,38.66,38.7,38.74,38.74,38.85,38.89,38.87,38.94,38.96,38.96,38.93,38.99,38.95,39.02 | +| seat | 66.7,66.81,66.84,66.8,66.88,66.81,66.95,66.87,66.98,66.95,67.0,66.99,67.08,67.14,67.11,67.24,67.18,67.29,67.3,67.32 | +| fence | 40.86,40.9,40.96,40.85,40.71,40.81,40.89,40.77,40.79,40.83,40.83,40.75,40.88,40.91,41.01,41.03,40.96,40.98,40.98,41.01 | +| desk | 46.81,46.88,46.9,47.03,46.96,46.97,47.03,47.08,47.11,47.12,47.14,47.16,47.12,47.2,47.19,47.16,47.19,47.19,47.22,47.21 | +| rock | 37.0,37.05,37.02,37.06,36.98,37.02,37.05,36.97,36.98,36.93,36.92,36.9,36.86,36.87,36.78,36.86,36.79,36.83,36.8,36.8 | +| wardrobe | 57.76,57.78,57.84,57.84,57.95,58.04,57.99,57.99,58.0,57.96,58.02,57.95,57.93,57.85,57.69,57.58,57.5,57.52,57.54,57.55 | +| lamp | 62.72,62.81,62.8,62.82,62.89,62.93,62.96,62.9,62.88,62.89,62.92,62.92,62.97,62.95,63.03,62.98,63.0,62.99,63.0,63.0 | +| bathtub | 77.26,77.21,77.18,77.07,77.05,77.07,77.08,76.76,76.72,76.39,76.16,76.3,76.19,76.03,75.96,75.93,75.88,75.84,75.88,75.82 | +| railing | 34.01,33.95,33.86,33.88,33.83,33.81,33.86,33.79,33.77,33.79,33.78,33.78,33.78,33.81,33.72,33.8,33.75,33.78,33.73,33.76 | +| cushion | 57.11,57.51,57.37,57.44,57.29,57.43,57.47,57.47,57.43,57.64,57.51,57.55,57.6,57.45,57.49,57.46,57.53,57.38,57.47,57.35 | +| base | 23.07,23.32,23.26,23.48,23.53,23.56,23.67,23.66,23.67,23.57,23.64,23.57,23.58,23.58,23.61,23.59,23.6,23.54,23.56,23.48 | +| box | 22.58,22.62,22.73,22.65,22.78,22.78,22.81,22.9,22.83,22.91,22.81,23.0,22.86,22.95,22.95,22.97,22.94,22.96,22.93,22.93 | +| column | 46.14,46.19,46.31,46.25,46.35,46.21,46.32,46.31,46.4,46.38,46.36,46.43,46.46,46.46,46.45,46.55,46.47,46.59,46.51,46.64 | +| signboard | 37.45,37.54,37.64,37.64,37.66,37.73,37.8,37.84,37.85,37.95,37.93,37.98,37.98,37.93,38.0,37.95,38.02,37.98,38.01,37.99 | +| chest of drawers | 36.88,36.9,36.93,37.04,37.01,37.01,36.97,37.19,36.97,36.96,36.95,36.98,37.0,36.96,37.01,36.92,37.08,36.92,37.08,36.88 | +| counter | 31.51,31.46,31.39,31.41,31.47,31.4,31.42,31.38,31.43,31.4,31.45,31.4,31.45,31.39,31.44,31.42,31.49,31.38,31.47,31.32 | +| sand | 42.49,42.49,42.51,42.56,42.56,42.55,42.59,42.58,42.53,42.55,42.56,42.49,42.46,42.45,42.38,42.31,42.28,42.16,42.12,42.01 | +| sink | 68.92,68.96,68.84,68.8,68.68,68.66,68.67,68.59,68.58,68.6,68.54,68.52,68.4,68.43,68.48,68.46,68.5,68.4,68.48,68.42 | +| skyscraper | 50.34,50.38,50.23,50.22,50.06,50.22,50.06,50.07,49.99,49.82,50.14,49.78,50.16,49.68,50.06,49.66,50.02,49.67,50.03,49.63 | +| fireplace | 76.38,76.39,76.47,76.52,76.57,76.65,76.6,76.54,76.8,76.73,76.82,76.7,76.92,76.76,77.03,76.78,77.03,76.87,77.02,76.91 | +| refrigerator | 75.21,75.34,75.23,75.48,75.51,75.82,75.58,75.95,75.8,75.99,75.79,76.04,75.94,76.21,75.95,76.27,76.0,76.2,76.08,76.2 | +| grandstand | 54.7,54.55,54.76,54.77,55.1,54.84,54.71,54.74,54.9,54.86,54.79,54.82,54.81,54.91,54.97,55.01,55.08,55.06,55.03,55.1 | +| path | 21.72,21.7,21.69,21.58,21.66,21.58,21.58,21.5,21.54,21.46,21.42,21.44,21.42,21.5,21.38,21.48,21.33,21.41,21.3,21.45 | +| stairs | 32.94,32.89,32.85,32.94,32.91,32.87,32.9,32.89,32.86,32.93,32.93,32.82,32.86,32.83,32.79,32.82,32.85,32.88,32.88,32.9 | +| runway | 67.24,67.36,67.38,67.35,67.38,67.28,67.26,67.26,67.22,67.2,67.24,67.28,67.17,67.19,67.24,67.18,67.17,67.17,67.18,67.13 | +| case | 46.19,46.27,46.13,46.33,46.56,46.65,46.75,46.81,46.98,46.91,47.13,46.99,47.24,47.27,47.36,47.27,47.38,47.32,47.42,47.29 | +| pool table | 91.84,91.86,91.9,91.9,91.93,91.92,91.92,91.97,91.99,91.96,92.04,92.04,92.04,92.07,92.02,92.05,92.05,92.09,92.07,92.13 | +| pillow | 62.39,62.4,62.42,62.37,62.55,62.47,62.58,62.63,62.54,62.66,62.58,62.62,62.64,62.69,62.49,62.67,62.5,62.58,62.51,62.59 | +| screen door | 73.07,72.85,73.0,72.95,72.79,72.72,72.65,72.88,72.57,72.53,72.43,72.36,72.05,72.03,71.61,71.57,71.41,71.39,71.22,71.21 | +| stairway | 23.73,23.75,23.68,23.68,23.6,23.57,23.48,23.5,23.55,23.59,23.59,23.7,23.7,23.75,23.75,23.78,23.89,23.87,23.93,23.95 | +| river | 11.96,11.93,11.92,11.91,11.91,11.91,11.92,11.91,11.9,11.91,11.89,11.89,11.88,11.89,11.87,11.87,11.86,11.87,11.86,11.87 | +| bridge | 29.05,29.38,29.27,29.16,29.13,29.19,29.11,29.03,29.06,29.03,29.03,28.92,28.93,28.82,28.75,28.75,28.7,28.69,28.69,28.69 | +| bookcase | 49.0,49.06,49.2,49.2,49.45,49.36,49.42,49.49,49.53,49.56,49.54,49.56,49.49,49.56,49.57,49.57,49.52,49.48,49.5,49.49 | +| blind | 40.8,40.57,40.64,40.54,40.47,40.29,40.57,40.2,40.41,40.21,40.35,40.22,40.26,40.41,40.37,40.55,40.47,40.76,40.5,40.83 | +| coffee table | 54.19,54.27,54.21,54.27,54.26,54.47,54.38,54.54,54.38,54.59,54.3,54.45,54.32,54.47,54.19,54.5,54.22,54.43,54.19,54.3 | +| toilet | 84.14,84.18,84.02,84.05,83.93,84.01,84.01,83.88,84.0,83.9,83.95,83.84,83.95,83.84,83.92,83.88,83.97,83.94,84.01,83.99 | +| flower | 38.67,38.66,38.66,38.6,38.51,38.71,38.61,38.7,38.66,38.79,38.76,39.04,38.88,39.14,38.99,39.23,39.04,39.25,39.19,39.31 | +| book | 45.24,45.33,45.26,45.29,45.22,45.31,45.17,45.35,45.13,45.3,45.13,45.3,45.23,45.23,45.26,45.22,45.22,45.23,45.24,45.22 | +| hill | 16.37,16.4,16.45,16.27,16.38,16.43,16.26,16.33,16.4,16.36,16.33,16.29,16.29,16.28,16.19,16.28,16.26,16.33,16.31,16.37 | +| bench | 43.61,43.59,43.76,43.85,43.81,43.85,43.77,43.85,43.86,43.91,43.79,43.89,43.84,43.79,43.86,43.82,43.74,43.74,43.69,43.68 | +| countertop | 57.39,57.43,57.39,57.51,57.35,57.42,57.25,57.33,57.23,57.41,57.26,57.22,57.12,57.15,57.17,57.15,57.13,57.24,57.18,57.23 | +| stove | 73.9,74.0,73.98,74.01,74.03,74.26,74.3,74.18,74.39,74.19,74.39,74.36,74.36,74.53,74.4,74.4,74.45,74.42,74.45,74.42 | +| palm | 48.36,48.45,48.45,48.53,48.53,48.54,48.48,48.57,48.55,48.58,48.53,48.64,48.45,48.52,48.56,48.49,48.52,48.47,48.46,48.42 | +| kitchen island | 44.22,44.13,44.14,44.1,44.0,44.18,44.07,44.1,43.88,43.84,44.15,43.72,43.59,43.5,43.51,43.32,43.26,42.93,43.1,42.74 | +| computer | 60.59,60.56,60.59,60.58,60.59,60.59,60.56,60.56,60.53,60.52,60.5,60.54,60.52,60.5,60.5,60.51,60.47,60.53,60.46,60.51 | +| swivel chair | 44.44,44.63,44.89,44.75,44.95,45.0,45.13,45.24,45.23,45.1,45.29,45.19,45.48,45.19,45.5,45.39,45.57,45.39,45.64,45.36 | +| boat | 72.8,72.66,72.9,72.81,73.06,73.16,73.2,73.43,73.54,73.44,73.62,73.68,73.72,73.84,73.99,74.03,74.12,74.13,74.25,74.24 | +| bar | 24.31,24.29,24.31,24.27,24.33,24.28,24.33,24.3,24.33,24.31,24.33,24.3,24.27,24.38,24.27,24.4,24.28,24.4,24.3,24.42 | +| arcade machine | 68.77,69.49,69.48,69.66,69.94,70.24,69.93,70.15,70.8,70.72,70.94,70.67,71.14,70.84,71.42,71.24,71.08,71.26,70.78,71.46 | +| hovel | 32.07,32.07,31.98,31.69,31.73,31.35,31.46,31.47,31.27,31.05,31.13,30.97,30.96,30.76,30.6,30.51,30.36,30.27,30.15,29.99 | +| bus | 79.77,79.77,79.85,79.75,79.73,79.78,79.66,79.64,79.61,79.61,79.58,79.48,79.47,79.48,79.43,79.51,79.47,79.52,79.49,79.51 | +| towel | 62.77,62.88,62.82,62.72,63.0,62.97,62.99,63.05,63.07,63.11,62.99,63.13,63.03,62.98,62.9,62.92,62.9,62.85,62.88,62.73 | +| light | 56.36,56.38,56.32,56.36,56.43,56.46,56.44,56.43,56.49,56.49,56.48,56.59,56.57,56.49,56.51,56.56,56.49,56.54,56.48,56.49 | +| truck | 19.42,19.24,19.22,19.18,19.2,19.28,19.04,19.13,19.0,19.28,19.1,19.03,19.13,19.05,19.04,18.88,18.99,18.95,18.9,18.79 | +| tower | 8.26,8.3,8.23,8.26,8.23,8.26,8.19,8.24,8.22,8.26,8.23,8.19,8.27,8.2,8.21,8.25,8.15,8.22,8.19,8.21 | +| chandelier | 65.06,65.15,65.29,65.09,65.17,65.21,65.19,65.08,65.25,65.09,65.11,65.14,65.26,65.24,65.29,65.23,65.28,65.3,65.3,65.25 | +| awning | 23.91,23.6,23.73,24.46,24.72,24.58,24.78,24.9,25.09,25.12,25.03,25.06,25.34,25.23,25.27,25.24,25.22,25.31,25.22,25.31 | +| streetlight | 27.79,27.8,27.78,27.81,27.72,27.69,27.83,27.77,27.73,27.74,27.8,27.77,27.84,27.85,27.86,27.82,27.87,27.9,27.93,27.92 | +| booth | 44.38,44.32,44.91,45.15,45.4,45.51,45.63,45.66,46.08,45.9,46.29,46.62,46.7,46.96,46.75,46.99,46.78,47.02,46.96,47.16 | +| television receiver | 67.18,67.32,67.36,67.3,67.32,67.42,67.35,67.49,67.45,67.45,67.55,67.48,67.42,67.43,67.54,67.55,67.53,67.56,67.5,67.59 | +| airplane | 59.44,59.28,59.43,59.27,59.2,59.1,59.08,58.8,58.58,58.38,58.44,58.27,58.28,58.2,58.12,58.09,57.99,58.06,57.86,58.03 | +| dirt track | 23.07,23.24,23.4,23.49,23.52,23.46,23.63,24.1,23.7,24.16,24.07,24.43,24.27,24.58,24.37,24.5,24.43,24.86,24.69,25.29 | +| apparel | 34.29,34.48,34.67,34.6,35.02,34.99,34.91,34.98,35.15,35.26,35.4,35.46,35.41,35.45,35.43,35.49,35.52,35.73,35.63,35.69 | +| pole | 19.69,19.73,19.62,19.6,19.62,19.52,19.57,19.62,19.57,19.44,19.43,19.32,19.57,19.34,19.49,19.43,19.43,19.36,19.36,19.32 | +| land | 3.22,3.27,3.27,3.27,3.29,3.3,3.33,3.33,3.34,3.32,3.37,3.35,3.39,3.36,3.39,3.34,3.38,3.35,3.4,3.37 | +| bannister | 11.93,12.02,11.85,12.07,12.03,12.28,12.14,12.13,12.3,12.44,12.42,12.37,12.37,12.56,12.53,12.5,12.59,12.49,12.62,12.64 | +| escalator | 25.1,25.06,25.0,25.0,25.25,25.09,25.26,25.19,25.13,25.19,25.15,25.11,25.15,25.12,25.14,25.08,25.1,25.06,24.96,25.08 | +| ottoman | 41.86,41.52,41.78,41.61,41.9,41.45,41.71,41.24,41.68,41.27,41.53,41.12,41.41,40.95,41.03,40.51,41.0,40.54,41.06,40.62 | +| bottle | 34.62,34.64,34.5,34.73,34.62,34.71,34.64,34.8,34.68,34.73,34.81,34.8,34.63,34.64,34.71,34.75,34.59,34.7,34.67,34.74 | +| buffet | 44.02,45.05,45.68,46.28,46.64,46.74,46.85,47.3,47.32,47.41,47.58,47.56,47.47,47.58,47.49,47.53,47.51,47.48,47.4,47.33 | +| poster | 22.4,22.33,22.35,22.51,22.44,22.55,22.3,22.61,22.33,22.62,22.35,22.55,22.33,22.62,22.47,22.71,22.57,22.83,22.55,22.84 | +| stage | 15.03,14.89,14.82,14.84,14.69,14.59,14.67,14.5,14.38,14.24,14.22,14.02,14.18,14.02,14.06,13.93,14.09,13.85,13.98,13.79 | +| van | 37.85,37.61,37.81,37.88,37.68,37.73,37.63,37.71,37.67,37.81,37.7,37.98,37.69,37.73,37.7,37.64,37.64,37.63,37.6,37.63 | +| ship | 81.04,81.08,81.04,81.07,81.3,81.14,81.16,81.48,81.36,81.59,81.44,81.59,81.51,81.66,81.71,81.92,81.98,82.06,82.0,82.13 | +| fountain | 18.86,18.54,18.88,18.78,18.93,19.28,19.31,19.29,19.4,19.31,19.37,19.38,19.52,19.6,19.45,19.49,19.48,19.37,19.2,19.19 | +| conveyer belt | 84.42,84.49,84.39,84.63,84.49,84.62,84.59,84.67,84.63,84.83,84.78,84.8,84.87,84.88,84.83,84.94,84.8,85.0,84.95,84.96 | +| canopy | 23.97,24.09,24.11,24.23,24.35,24.47,24.53,24.67,24.77,24.9,24.91,25.01,25.04,25.12,25.09,25.17,25.2,25.22,25.23,25.22 | +| washer | 74.57,74.8,74.98,74.92,75.25,75.08,75.19,75.29,75.6,75.44,75.68,76.04,76.2,76.62,76.79,77.07,76.99,77.36,77.45,77.66 | +| plaything | 20.39,20.32,20.35,20.34,20.31,20.28,20.31,20.25,20.39,20.37,20.33,20.31,20.31,20.32,20.38,20.29,20.38,20.29,20.36,20.3 | +| swimming pool | 71.25,71.31,71.18,71.66,71.51,71.61,71.7,71.74,71.6,71.88,71.81,71.88,72.18,71.45,71.95,71.52,71.68,71.49,71.65,71.26 | +| stool | 42.3,42.35,42.41,42.5,42.24,42.55,42.29,42.27,42.5,42.54,42.51,42.57,42.52,42.56,42.63,42.51,42.66,42.46,42.49,42.27 | +| barrel | 44.26,43.67,44.32,43.2,43.16,44.14,43.56,42.82,44.18,42.89,43.04,43.15,41.88,42.36,42.09,41.41,41.02,41.23,40.88,40.58 | +| basket | 24.25,24.3,24.21,24.29,24.31,24.33,24.32,24.31,24.37,24.38,24.39,24.36,24.46,24.38,24.43,24.47,24.45,24.49,24.47,24.48 | +| waterfall | 49.7,49.42,49.5,49.42,49.44,49.32,49.47,49.45,49.42,49.29,49.32,49.35,49.33,49.33,49.3,49.3,49.37,49.41,49.32,49.34 | +| tent | 95.01,95.04,94.94,95.02,95.06,95.06,95.08,95.2,95.24,95.19,95.24,95.21,95.23,95.22,95.27,95.31,95.32,95.33,95.32,95.35 | +| bag | 16.68,16.61,16.67,16.76,16.9,16.83,16.79,16.9,16.88,16.98,17.02,16.96,17.01,16.93,16.85,16.95,16.9,16.97,16.81,16.94 | +| minibike | 61.35,61.47,61.23,61.32,61.53,61.46,61.73,61.73,61.85,61.76,61.84,61.79,62.12,62.08,62.33,62.32,62.38,62.49,62.51,62.53 | +| cradle | 84.74,84.91,85.05,85.41,85.28,85.78,85.73,85.97,85.77,85.96,86.0,86.04,86.24,86.31,86.36,86.37,86.52,86.44,86.54,86.46 | +| oven | 43.02,43.05,43.37,43.53,43.81,43.98,44.45,44.7,45.03,45.39,45.29,45.87,46.09,46.47,46.63,46.87,47.15,47.32,47.58,47.7 | +| ball | 42.97,43.13,43.01,43.19,43.19,43.08,43.09,43.2,43.25,43.2,43.11,43.1,43.05,43.15,43.21,43.18,43.12,43.26,43.15,43.25 | +| food | 56.1,56.25,56.21,56.29,56.37,56.56,56.53,56.66,56.58,56.6,56.53,56.66,56.6,56.72,56.65,56.74,56.64,56.68,56.67,56.62 | +| step | 5.56,5.69,5.58,5.76,5.83,5.84,5.68,5.8,5.8,5.81,5.8,5.7,5.71,5.79,5.72,5.66,5.66,5.58,5.55,5.51 | +| tank | 48.77,48.72,48.79,48.67,48.72,48.54,48.56,48.51,48.49,48.46,48.39,48.37,48.28,48.29,48.29,48.31,48.2,48.25,48.14,48.15 | +| trade name | 27.0,27.29,27.23,27.27,27.44,27.67,27.7,27.98,28.0,27.62,27.96,28.08,28.24,28.32,28.44,28.43,28.72,28.65,28.74,28.95 | +| microwave | 67.46,67.67,67.85,68.45,68.89,69.21,69.68,69.93,70.34,70.96,70.65,71.54,71.75,72.06,72.27,72.67,72.77,73.08,73.21,73.54 | +| pot | 29.28,29.18,29.28,29.44,29.46,29.6,29.76,29.74,29.96,29.99,29.99,30.07,30.12,30.21,30.24,30.31,30.4,30.47,30.51,30.58 | +| animal | 54.3,54.37,54.36,54.37,54.38,54.41,54.44,54.51,54.38,54.55,54.5,54.44,54.47,54.47,54.4,54.47,54.39,54.44,54.27,54.43 | +| bicycle | 55.24,55.28,55.45,55.5,55.53,55.58,55.61,55.79,55.74,55.76,55.87,55.86,55.86,55.91,55.95,55.98,56.02,56.09,56.06,56.12 | +| lake | 57.97,57.99,58.02,58.08,58.13,58.04,58.15,58.1,58.14,58.13,58.16,58.11,58.2,58.13,58.2,58.17,58.15,58.17,58.11,58.12 | +| dishwasher | 68.2,68.21,67.97,68.05,68.16,68.0,68.06,68.02,68.03,68.0,68.09,68.06,67.87,68.01,67.9,67.94,67.96,67.91,68.01,67.89 | +| screen | 66.52,66.39,66.22,66.01,65.98,65.65,65.62,65.26,65.28,64.94,65.25,64.91,65.19,64.96,65.12,65.02,65.14,64.98,65.27,65.08 | +| blanket | 17.78,17.97,18.43,18.74,18.85,19.13,18.95,19.24,19.07,19.12,19.15,19.22,19.24,19.2,19.18,19.17,19.2,19.23,19.12,19.07 | +| sculpture | 57.86,57.97,58.04,58.15,58.1,58.24,58.14,58.16,58.03,58.29,58.28,58.11,58.19,58.38,58.41,58.58,58.32,58.85,58.88,59.06 | +| hood | 59.66,59.11,59.37,59.49,58.81,59.17,58.95,59.11,58.89,58.82,58.8,58.91,58.77,58.49,58.53,58.29,58.45,58.15,58.4,58.15 | +| sconce | 41.66,42.0,41.93,42.07,42.17,42.21,42.32,42.44,42.1,42.6,42.49,42.5,42.64,42.64,42.77,42.82,42.84,42.89,42.86,43.04 | +| vase | 37.28,37.18,37.08,37.21,37.35,37.22,37.24,37.36,37.39,37.31,37.32,37.28,37.3,37.19,37.4,37.51,37.43,37.4,37.42,37.44 | +| traffic light | 32.84,33.03,32.95,33.05,33.25,33.18,33.36,33.38,33.38,33.75,33.72,33.79,33.79,33.84,33.88,33.89,33.98,33.97,34.09,34.1 | +| tray | 8.73,8.67,8.61,8.83,8.78,8.87,8.91,8.66,8.84,8.74,8.76,8.71,8.88,8.64,8.88,8.72,8.78,8.61,8.76,8.61 | +| ashcan | 40.47,40.41,40.47,40.48,40.54,40.61,40.74,40.69,40.81,40.81,41.13,40.77,41.02,41.0,41.03,40.93,41.32,40.94,41.25,41.07 | +| fan | 56.48,56.53,56.76,56.43,56.47,56.59,56.55,56.36,56.41,56.45,56.62,56.41,56.43,56.48,56.43,56.5,56.42,56.45,56.5,56.39 | +| pier | 42.79,43.24,43.57,43.93,44.01,44.34,44.47,44.35,45.18,45.2,45.16,45.33,45.35,45.56,45.68,45.58,45.49,45.5,45.61,45.67 | +| crt screen | 10.98,11.04,11.06,11.04,11.13,11.12,11.16,11.2,11.18,11.21,11.2,11.22,11.17,11.18,11.2,11.17,11.19,11.18,11.18,11.16 | +| plate | 53.04,53.15,53.34,53.28,53.28,53.41,53.57,53.6,53.6,53.63,53.94,53.74,53.99,53.85,53.95,53.98,54.05,54.09,54.17,54.13 | +| monitor | 17.68,17.63,17.49,17.55,17.3,17.27,17.2,17.25,17.06,16.96,16.9,16.63,16.52,16.53,16.38,16.2,16.01,15.95,15.77,15.69 | +| bulletin board | 38.27,38.48,38.36,38.43,38.59,38.74,38.66,38.84,38.83,39.16,38.97,39.29,39.05,39.27,39.03,39.3,39.08,39.36,39.09,39.33 | +| shower | 2.52,2.5,2.39,2.44,2.41,2.35,2.35,2.29,2.31,2.33,2.26,2.29,2.23,2.2,2.21,2.22,2.18,2.17,2.13,2.17 | +| radiator | 60.4,60.82,61.01,61.7,61.21,61.62,61.78,62.13,62.24,62.38,62.57,62.65,62.86,62.91,63.21,62.95,63.4,63.27,63.59,63.61 | +| glass | 14.69,14.7,14.7,14.66,14.66,14.61,14.68,14.64,14.73,14.63,14.65,14.71,14.73,14.67,14.7,14.7,14.64,14.72,14.66,14.7 | +| clock | 35.65,36.0,35.62,36.04,35.88,36.02,35.87,35.87,36.08,35.95,36.13,36.03,36.05,36.13,36.13,36.02,36.09,36.2,36.15,36.16 | +| flag | 33.26,33.13,33.19,33.25,33.11,33.11,33.23,33.12,33.08,33.19,33.03,33.2,33.26,33.21,33.22,33.15,33.22,33.19,33.15,33.21 | ++---------------------+-------------------------------------------------------------------------------------------------------------------------+ +2023-03-04 10:38:42,497 - mmseg - INFO - Summary: +2023-03-04 10:38:42,497 - mmseg - INFO - ++-----------------------------------------------------------------------------------------------------------------------+ +| mIoU 0,1,2,3,4,5,6,7,8,9,10,11,12,13,14,15,16,17,18,19 | ++-----------------------------------------------------------------------------------------------------------------------+ +| 48.76,48.8,48.83,48.87,48.9,48.94,48.95,48.98,49.01,49.02,49.03,49.04,49.06,49.07,49.08,49.08,49.08,49.09,49.09,49.09 | ++-----------------------------------------------------------------------------------------------------------------------+ +2023-03-04 10:38:42,497 - mmseg - INFO - Exp name: ablation_segformer_mit_b2_segformer_head_unet_fc_small_multi_step_ade_pretrained_freeze_embed_160k_ade20k151_finetune_ema_t20.py +2023-03-04 10:38:42,497 - mmseg - INFO - Iter(val) [250] mIoU: [0.4876, 0.488, 0.4883, 0.4887, 0.489, 0.4894, 0.4895, 0.4898, 0.4901, 0.4902, 0.4903, 0.4904, 0.4906, 0.4907, 0.4908, 0.4908, 0.4908, 0.4909, 0.4909, 0.4909], copy_paste: 48.76,48.8,48.83,48.87,48.9,48.94,48.95,48.98,49.01,49.02,49.03,49.04,49.06,49.07,49.08,49.08,49.08,49.09,49.09,49.09 diff --git a/ablation/ablation_segformer_mit_b2_segformer_head_unet_fc_small_multi_step_ade_pretrained_freeze_embed_160k_ade20k151_finetune_ema_t20/20230304_011047.log.json b/ablation/ablation_segformer_mit_b2_segformer_head_unet_fc_small_multi_step_ade_pretrained_freeze_embed_160k_ade20k151_finetune_ema_t20/20230304_011047.log.json new file mode 100644 index 0000000000000000000000000000000000000000..127f9d04741e64888742aa51c420097c8a491309 --- /dev/null +++ b/ablation/ablation_segformer_mit_b2_segformer_head_unet_fc_small_multi_step_ade_pretrained_freeze_embed_160k_ade20k151_finetune_ema_t20/20230304_011047.log.json @@ -0,0 +1,3211 @@ +{"env_info": "sys.platform: linux\nPython: 3.7.16 (default, Jan 17 2023, 22:20:44) [GCC 11.2.0]\nCUDA available: True\nGPU 0,1,2,3,4,5,6,7: NVIDIA A100-SXM4-80GB\nCUDA_HOME: /mnt/petrelfs/laizeqiang/miniconda3/envs/torch\nNVCC: Cuda compilation tools, release 11.6, V11.6.124\nGCC: gcc (GCC) 4.8.5 20150623 (Red Hat 4.8.5-44)\nPyTorch: 1.13.1\nPyTorch compiling details: PyTorch built with:\n - GCC 9.3\n - C++ Version: 201402\n - Intel(R) oneAPI Math Kernel Library Version 2021.4-Product Build 20210904 for Intel(R) 64 architecture applications\n - Intel(R) MKL-DNN v2.6.0 (Git Hash 52b5f107dd9cf10910aaa19cb47f3abf9b349815)\n - OpenMP 201511 (a.k.a. OpenMP 4.5)\n - LAPACK is enabled (usually provided by MKL)\n - NNPACK is enabled\n - CPU capability usage: AVX2\n - CUDA Runtime 11.6\n - NVCC architecture flags: -gencode;arch=compute_37,code=sm_37;-gencode;arch=compute_50,code=sm_50;-gencode;arch=compute_60,code=sm_60;-gencode;arch=compute_61,code=sm_61;-gencode;arch=compute_70,code=sm_70;-gencode;arch=compute_75,code=sm_75;-gencode;arch=compute_80,code=sm_80;-gencode;arch=compute_86,code=sm_86;-gencode;arch=compute_37,code=compute_37\n - CuDNN 8.3.2 (built against CUDA 11.5)\n - Magma 2.6.1\n - Build settings: BLAS_INFO=mkl, BUILD_TYPE=Release, CUDA_VERSION=11.6, CUDNN_VERSION=8.3.2, CXX_COMPILER=/opt/rh/devtoolset-9/root/usr/bin/c++, CXX_FLAGS= -fabi-version=11 -Wno-deprecated -fvisibility-inlines-hidden -DUSE_PTHREADPOOL -fopenmp -DNDEBUG -DUSE_KINETO -DUSE_FBGEMM -DUSE_QNNPACK -DUSE_PYTORCH_QNNPACK -DUSE_XNNPACK -DSYMBOLICATE_MOBILE_DEBUG_HANDLE -DEDGE_PROFILER_USE_KINETO -O2 -fPIC -Wno-narrowing -Wall -Wextra -Werror=return-type -Werror=non-virtual-dtor -Wno-missing-field-initializers -Wno-type-limits -Wno-array-bounds -Wno-unknown-pragmas -Wunused-local-typedefs -Wno-unused-parameter -Wno-unused-function -Wno-unused-result -Wno-strict-overflow -Wno-strict-aliasing -Wno-error=deprecated-declarations -Wno-stringop-overflow -Wno-psabi -Wno-error=pedantic -Wno-error=redundant-decls -Wno-error=old-style-cast -fdiagnostics-color=always -faligned-new -Wno-unused-but-set-variable -Wno-maybe-uninitialized -fno-math-errno -fno-trapping-math -Werror=format -Werror=cast-function-type -Wno-stringop-overflow, LAPACK_INFO=mkl, PERF_WITH_AVX=1, PERF_WITH_AVX2=1, PERF_WITH_AVX512=1, TORCH_VERSION=1.13.1, USE_CUDA=ON, USE_CUDNN=ON, USE_EXCEPTION_PTR=1, USE_GFLAGS=OFF, USE_GLOG=OFF, USE_MKL=ON, USE_MKLDNN=ON, USE_MPI=OFF, USE_NCCL=ON, USE_NNPACK=ON, USE_OPENMP=ON, USE_ROCM=OFF, \n\nTorchVision: 0.14.1\nOpenCV: 4.7.0\nMMCV: 1.7.1\nMMCV Compiler: GCC 9.3\nMMCV CUDA Compiler: 11.6\nMMSegmentation: 0.30.0+ab851eb", "seed": 210567428, "exp_name": "ablation_segformer_mit_b2_segformer_head_unet_fc_small_multi_step_ade_pretrained_freeze_embed_160k_ade20k151_finetune_ema_t20.py", "mmseg_version": "0.30.0+ab851eb", "config": "norm_cfg = dict(type='SyncBN', requires_grad=True)\ncheckpoint = 'work_dirs2/segformer_mit_b2_segformer_head_unet_fc_single_step_ade_pretrained_freeze_embed_80k_ade20k151/best_mIoU_iter_64000.pth'\nmodel = dict(\n type='EncoderDecoderDiffusion',\n freeze_parameters=['backbone', 'decode_head'],\n pretrained=\n 'work_dirs2/segformer_mit_b2_segformer_head_unet_fc_single_step_ade_pretrained_freeze_embed_80k_ade20k151/best_mIoU_iter_64000.pth',\n backbone=dict(\n type='MixVisionTransformerCustomInitWeights',\n in_channels=3,\n embed_dims=64,\n num_stages=4,\n num_layers=[3, 4, 6, 3],\n num_heads=[1, 2, 5, 8],\n patch_sizes=[7, 3, 3, 3],\n sr_ratios=[8, 4, 2, 1],\n out_indices=(0, 1, 2, 3),\n mlp_ratio=4,\n qkv_bias=True,\n drop_rate=0.0,\n attn_drop_rate=0.0,\n drop_path_rate=0.1,\n pretrained=\n 'work_dirs2/segformer_mit_b2_segformer_head_unet_fc_single_step_ade_pretrained_freeze_embed_80k_ade20k151/best_mIoU_iter_64000.pth'\n ),\n decode_head=dict(\n type='SegformerHeadUnetFCHeadMultiStep',\n pretrained=\n 'work_dirs2/segformer_mit_b2_segformer_head_unet_fc_single_step_ade_pretrained_freeze_embed_80k_ade20k151/best_mIoU_iter_64000.pth',\n dim=128,\n out_dim=256,\n unet_channels=272,\n dim_mults=[1, 1, 1],\n cat_embedding_dim=16,\n diffusion_timesteps=20,\n collect_timesteps=[\n 0, 1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14, 15, 16, 17, 18,\n 19\n ],\n in_channels=[64, 128, 320, 512],\n in_index=[0, 1, 2, 3],\n channels=256,\n dropout_ratio=0.1,\n num_classes=151,\n norm_cfg=dict(type='SyncBN', requires_grad=True),\n align_corners=False,\n ignore_index=0,\n loss_decode=dict(\n type='CrossEntropyLoss', use_sigmoid=False, loss_weight=1.0)),\n train_cfg=dict(),\n test_cfg=dict(mode='whole'))\ndataset_type = 'ADE20K151Dataset'\ndata_root = 'data/ade/ADEChallengeData2016'\nimg_norm_cfg = dict(\n mean=[123.675, 116.28, 103.53], std=[58.395, 57.12, 57.375], to_rgb=True)\ncrop_size = (512, 512)\ntrain_pipeline = [\n dict(type='LoadImageFromFile'),\n dict(type='LoadAnnotations', reduce_zero_label=False),\n dict(type='Resize', img_scale=(2048, 512), ratio_range=(0.5, 2.0)),\n dict(type='RandomCrop', crop_size=(512, 512), cat_max_ratio=0.75),\n dict(type='RandomFlip', prob=0.5),\n dict(type='PhotoMetricDistortion'),\n dict(\n type='Normalize',\n mean=[123.675, 116.28, 103.53],\n std=[58.395, 57.12, 57.375],\n to_rgb=True),\n dict(type='Pad', size=(512, 512), pad_val=0, seg_pad_val=0),\n dict(type='DefaultFormatBundle'),\n dict(type='Collect', keys=['img', 'gt_semantic_seg'])\n]\ntest_pipeline = [\n dict(type='LoadImageFromFile'),\n dict(\n type='MultiScaleFlipAug',\n img_scale=(2048, 512),\n flip=False,\n transforms=[\n dict(type='Resize', keep_ratio=True),\n dict(type='RandomFlip'),\n dict(\n type='Normalize',\n mean=[123.675, 116.28, 103.53],\n std=[58.395, 57.12, 57.375],\n to_rgb=True),\n dict(type='Pad', size_divisor=16, pad_val=0, seg_pad_val=0),\n dict(type='ImageToTensor', keys=['img']),\n dict(type='Collect', keys=['img'])\n ])\n]\ndata = dict(\n samples_per_gpu=4,\n workers_per_gpu=4,\n train=dict(\n type='ADE20K151Dataset',\n data_root='data/ade/ADEChallengeData2016',\n img_dir='images/training',\n ann_dir='annotations/training',\n pipeline=[\n dict(type='LoadImageFromFile'),\n dict(type='LoadAnnotations', reduce_zero_label=False),\n dict(type='Resize', img_scale=(2048, 512), ratio_range=(0.5, 2.0)),\n dict(type='RandomCrop', crop_size=(512, 512), cat_max_ratio=0.75),\n dict(type='RandomFlip', prob=0.5),\n dict(type='PhotoMetricDistortion'),\n dict(\n type='Normalize',\n mean=[123.675, 116.28, 103.53],\n std=[58.395, 57.12, 57.375],\n to_rgb=True),\n dict(type='Pad', size=(512, 512), pad_val=0, seg_pad_val=0),\n dict(type='DefaultFormatBundle'),\n dict(type='Collect', keys=['img', 'gt_semantic_seg'])\n ]),\n val=dict(\n type='ADE20K151Dataset',\n data_root='data/ade/ADEChallengeData2016',\n img_dir='images/validation',\n ann_dir='annotations/validation',\n pipeline=[\n dict(type='LoadImageFromFile'),\n dict(\n type='MultiScaleFlipAug',\n img_scale=(2048, 512),\n flip=False,\n transforms=[\n dict(type='Resize', keep_ratio=True),\n dict(type='RandomFlip'),\n dict(\n type='Normalize',\n mean=[123.675, 116.28, 103.53],\n std=[58.395, 57.12, 57.375],\n to_rgb=True),\n dict(\n type='Pad', size_divisor=16, pad_val=0, seg_pad_val=0),\n dict(type='ImageToTensor', keys=['img']),\n dict(type='Collect', keys=['img'])\n ])\n ]),\n test=dict(\n type='ADE20K151Dataset',\n data_root='data/ade/ADEChallengeData2016',\n img_dir='images/validation',\n ann_dir='annotations/validation',\n pipeline=[\n dict(type='LoadImageFromFile'),\n dict(\n type='MultiScaleFlipAug',\n img_scale=(2048, 512),\n flip=False,\n transforms=[\n dict(type='Resize', keep_ratio=True),\n dict(type='RandomFlip'),\n dict(\n type='Normalize',\n mean=[123.675, 116.28, 103.53],\n std=[58.395, 57.12, 57.375],\n to_rgb=True),\n dict(\n type='Pad', size_divisor=16, pad_val=0, seg_pad_val=0),\n dict(type='ImageToTensor', keys=['img']),\n dict(type='Collect', keys=['img'])\n ])\n ]))\nlog_config = dict(\n interval=50, hooks=[dict(type='TextLoggerHook', by_epoch=False)])\ndist_params = dict(backend='nccl')\nlog_level = 'INFO'\nload_from = None\nresume_from = None\nworkflow = [('train', 1)]\ncudnn_benchmark = True\noptimizer = dict(\n type='AdamW', lr=0.00015, betas=[0.9, 0.96], weight_decay=0.045)\noptimizer_config = dict()\nlr_config = dict(\n policy='step',\n warmup='linear',\n warmup_iters=1000,\n warmup_ratio=1e-06,\n step=50000,\n gamma=0.5,\n min_lr=1e-06,\n by_epoch=False)\nrunner = dict(type='IterBasedRunner', max_iters=160000)\ncheckpoint_config = dict(by_epoch=False, interval=16000, max_keep_ckpts=1)\nevaluation = dict(\n interval=16000, metric='mIoU', pre_eval=True, save_best='mIoU')\ncustom_hooks = [\n dict(\n type='ConstantMomentumEMAHook',\n momentum=0.01,\n interval=25,\n eval_interval=16000,\n auto_resume=True,\n priority=49)\n]\nwork_dir = './work_dirs2/ablation_segformer_mit_b2_segformer_head_unet_fc_small_multi_step_ade_pretrained_freeze_embed_160k_ade20k151_finetune_ema_t20'\ngpu_ids = range(0, 8)\nauto_resume = True\ndevice = 'cuda'\nseed = 210567428\n", "CLASSES": ["background", "wall", "building", "sky", "floor", "tree", "ceiling", "road", "bed ", "windowpane", "grass", "cabinet", "sidewalk", "person", "earth", "door", "table", "mountain", "plant", "curtain", "chair", "car", "water", "painting", "sofa", "shelf", "house", "sea", "mirror", "rug", "field", "armchair", "seat", "fence", "desk", "rock", "wardrobe", "lamp", "bathtub", "railing", "cushion", "base", "box", "column", "signboard", "chest of drawers", "counter", "sand", "sink", "skyscraper", "fireplace", "refrigerator", "grandstand", "path", "stairs", "runway", "case", "pool table", "pillow", "screen door", "stairway", "river", "bridge", "bookcase", "blind", "coffee table", "toilet", "flower", "book", "hill", "bench", "countertop", "stove", "palm", "kitchen island", "computer", "swivel chair", "boat", "bar", "arcade machine", "hovel", "bus", "towel", "light", "truck", "tower", "chandelier", "awning", "streetlight", "booth", "television receiver", "airplane", "dirt track", "apparel", "pole", "land", "bannister", "escalator", "ottoman", "bottle", "buffet", "poster", "stage", "van", "ship", "fountain", "conveyer belt", "canopy", "washer", "plaything", "swimming pool", "stool", "barrel", "basket", "waterfall", "tent", "bag", "minibike", "cradle", "oven", "ball", "food", "step", "tank", "trade name", "microwave", "pot", "animal", "bicycle", "lake", "dishwasher", "screen", "blanket", "sculpture", "hood", "sconce", "vase", "traffic light", "tray", "ashcan", "fan", "pier", "crt screen", "plate", "monitor", "bulletin board", "shower", "radiator", "glass", "clock", 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a/ablation/ablation_segformer_mit_b2_segformer_head_unet_fc_small_multi_step_ade_pretrained_freeze_embed_160k_ade20k151_finetune_ema_t20/ablation_segformer_mit_b2_segformer_head_unet_fc_small_multi_step_ade_pretrained_freeze_embed_160k_ade20k151_finetune_ema_t20.py b/ablation/ablation_segformer_mit_b2_segformer_head_unet_fc_small_multi_step_ade_pretrained_freeze_embed_160k_ade20k151_finetune_ema_t20/ablation_segformer_mit_b2_segformer_head_unet_fc_small_multi_step_ade_pretrained_freeze_embed_160k_ade20k151_finetune_ema_t20.py new file mode 100644 index 0000000000000000000000000000000000000000..c9bb6374ade51713f11031138513d1a3381e2d5b --- /dev/null +++ b/ablation/ablation_segformer_mit_b2_segformer_head_unet_fc_small_multi_step_ade_pretrained_freeze_embed_160k_ade20k151_finetune_ema_t20/ablation_segformer_mit_b2_segformer_head_unet_fc_small_multi_step_ade_pretrained_freeze_embed_160k_ade20k151_finetune_ema_t20.py @@ -0,0 +1,198 @@ +norm_cfg = dict(type='SyncBN', requires_grad=True) +checkpoint = 'work_dirs2/segformer_mit_b2_segformer_head_unet_fc_single_step_ade_pretrained_freeze_embed_80k_ade20k151/best_mIoU_iter_64000.pth' +model = dict( + type='EncoderDecoderDiffusion', + freeze_parameters=['backbone', 'decode_head'], + pretrained= + 'work_dirs2/segformer_mit_b2_segformer_head_unet_fc_single_step_ade_pretrained_freeze_embed_80k_ade20k151/best_mIoU_iter_64000.pth', + backbone=dict( + type='MixVisionTransformerCustomInitWeights', + in_channels=3, + embed_dims=64, + num_stages=4, + num_layers=[3, 4, 6, 3], + num_heads=[1, 2, 5, 8], + patch_sizes=[7, 3, 3, 3], + sr_ratios=[8, 4, 2, 1], + out_indices=(0, 1, 2, 3), + mlp_ratio=4, + qkv_bias=True, + drop_rate=0.0, + attn_drop_rate=0.0, + drop_path_rate=0.1), + decode_head=dict( + type='SegformerHeadUnetFCHeadMultiStep', + pretrained= + 'work_dirs2/segformer_mit_b2_segformer_head_unet_fc_single_step_ade_pretrained_freeze_embed_80k_ade20k151/best_mIoU_iter_64000.pth', + dim=128, + out_dim=256, + unet_channels=272, + dim_mults=[1, 1, 1], + cat_embedding_dim=16, + diffusion_timesteps=20, + collect_timesteps=[ + 0, 1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14, 15, 16, 17, 18, + 19 + ], + in_channels=[64, 128, 320, 512], + in_index=[0, 1, 2, 3], + channels=256, + dropout_ratio=0.1, + num_classes=151, + norm_cfg=dict(type='SyncBN', requires_grad=True), + align_corners=False, + ignore_index=0, + loss_decode=dict( + type='CrossEntropyLoss', use_sigmoid=False, loss_weight=1.0)), + train_cfg=dict(), + test_cfg=dict(mode='whole')) +dataset_type = 'ADE20K151Dataset' +data_root = 'data/ade/ADEChallengeData2016' +img_norm_cfg = dict( + mean=[123.675, 116.28, 103.53], std=[58.395, 57.12, 57.375], to_rgb=True) +crop_size = (512, 512) +train_pipeline = [ + dict(type='LoadImageFromFile'), + dict(type='LoadAnnotations', reduce_zero_label=False), + dict(type='Resize', img_scale=(2048, 512), ratio_range=(0.5, 2.0)), + dict(type='RandomCrop', crop_size=(512, 512), cat_max_ratio=0.75), + dict(type='RandomFlip', prob=0.5), + dict(type='PhotoMetricDistortion'), + dict( + type='Normalize', + mean=[123.675, 116.28, 103.53], + std=[58.395, 57.12, 57.375], + to_rgb=True), + dict(type='Pad', size=(512, 512), pad_val=0, seg_pad_val=0), + dict(type='DefaultFormatBundle'), + dict(type='Collect', keys=['img', 'gt_semantic_seg']) +] +test_pipeline = [ + dict(type='LoadImageFromFile'), + dict( + type='MultiScaleFlipAug', + img_scale=(2048, 512), + flip=False, + transforms=[ + dict(type='Resize', keep_ratio=True), + dict(type='RandomFlip'), + dict( + type='Normalize', + mean=[123.675, 116.28, 103.53], + std=[58.395, 57.12, 57.375], + to_rgb=True), + dict(type='Pad', size_divisor=16, pad_val=0, seg_pad_val=0), + dict(type='ImageToTensor', keys=['img']), + dict(type='Collect', keys=['img']) + ]) +] +data = dict( + samples_per_gpu=4, + workers_per_gpu=4, + train=dict( + type='ADE20K151Dataset', + data_root='data/ade/ADEChallengeData2016', + img_dir='images/training', + ann_dir='annotations/training', + pipeline=[ + dict(type='LoadImageFromFile'), + dict(type='LoadAnnotations', reduce_zero_label=False), + dict(type='Resize', img_scale=(2048, 512), ratio_range=(0.5, 2.0)), + dict(type='RandomCrop', crop_size=(512, 512), cat_max_ratio=0.75), + dict(type='RandomFlip', prob=0.5), + dict(type='PhotoMetricDistortion'), + dict( + type='Normalize', + mean=[123.675, 116.28, 103.53], + std=[58.395, 57.12, 57.375], + to_rgb=True), + dict(type='Pad', size=(512, 512), pad_val=0, seg_pad_val=0), + dict(type='DefaultFormatBundle'), + dict(type='Collect', keys=['img', 'gt_semantic_seg']) + ]), + val=dict( + type='ADE20K151Dataset', + data_root='data/ade/ADEChallengeData2016', + img_dir='images/validation', + ann_dir='annotations/validation', + pipeline=[ + dict(type='LoadImageFromFile'), + dict( + type='MultiScaleFlipAug', + img_scale=(2048, 512), + flip=False, + transforms=[ + dict(type='Resize', keep_ratio=True), + dict(type='RandomFlip'), + dict( + type='Normalize', + mean=[123.675, 116.28, 103.53], + std=[58.395, 57.12, 57.375], + to_rgb=True), + dict( + type='Pad', size_divisor=16, pad_val=0, seg_pad_val=0), + dict(type='ImageToTensor', keys=['img']), + dict(type='Collect', keys=['img']) + ]) + ]), + test=dict( + type='ADE20K151Dataset', + data_root='data/ade/ADEChallengeData2016', + img_dir='images/validation', + ann_dir='annotations/validation', + pipeline=[ + dict(type='LoadImageFromFile'), + dict( + type='MultiScaleFlipAug', + img_scale=(2048, 512), + flip=False, + transforms=[ + dict(type='Resize', keep_ratio=True), + dict(type='RandomFlip'), + dict( + type='Normalize', + mean=[123.675, 116.28, 103.53], + std=[58.395, 57.12, 57.375], + to_rgb=True), + dict( + type='Pad', size_divisor=16, pad_val=0, seg_pad_val=0), + dict(type='ImageToTensor', keys=['img']), + dict(type='Collect', keys=['img']) + ]) + ])) +log_config = dict( + interval=50, hooks=[dict(type='TextLoggerHook', by_epoch=False)]) +dist_params = dict(backend='nccl') +log_level = 'INFO' +load_from = None +resume_from = None +workflow = [('train', 1)] +cudnn_benchmark = True +optimizer = dict( + type='AdamW', lr=0.00015, betas=[0.9, 0.96], weight_decay=0.045) +optimizer_config = dict() +lr_config = dict( + policy='step', + warmup='linear', + warmup_iters=1000, + warmup_ratio=1e-06, + step=50000, + gamma=0.5, + min_lr=1e-06, + by_epoch=False) +runner = dict(type='IterBasedRunner', max_iters=160000) +checkpoint_config = dict(by_epoch=False, interval=16000, max_keep_ckpts=1) +evaluation = dict( + interval=16000, metric='mIoU', pre_eval=True, save_best='mIoU') +custom_hooks = [ + dict( + type='ConstantMomentumEMAHook', + momentum=0.01, + interval=25, + eval_interval=16000, + auto_resume=True, + priority=49) +] +work_dir = './work_dirs2/ablation_segformer_mit_b2_segformer_head_unet_fc_small_multi_step_ade_pretrained_freeze_embed_160k_ade20k151_finetune_ema_t20' +gpu_ids = range(0, 8) +auto_resume = True diff --git 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b/ablation/ablation_segformer_mit_b2_segformer_head_unet_fc_small_multi_step_ade_pretrained_freeze_embed_160k_ade20k151_finetune_ema_t50/20230304_011051.log @@ -0,0 +1,6221 @@ +2023-03-04 01:10:51,261 - mmseg - INFO - Multi-processing start method is `None` +2023-03-04 01:10:51,281 - mmseg - INFO - OpenCV num_threads is `128 +2023-03-04 01:10:51,281 - mmseg - INFO - OMP num threads is 1 +2023-03-04 01:10:51,337 - mmseg - INFO - Environment info: +------------------------------------------------------------ +sys.platform: linux +Python: 3.7.16 (default, Jan 17 2023, 22:20:44) [GCC 11.2.0] +CUDA available: True +GPU 0,1,2,3,4,5,6,7: NVIDIA A100-SXM4-80GB +CUDA_HOME: /mnt/petrelfs/laizeqiang/miniconda3/envs/torch +NVCC: Cuda compilation tools, release 11.6, V11.6.124 +GCC: gcc (GCC) 4.8.5 20150623 (Red Hat 4.8.5-44) +PyTorch: 1.13.1 +PyTorch compiling details: PyTorch built with: + - GCC 9.3 + - C++ Version: 201402 + - Intel(R) oneAPI Math Kernel Library Version 2021.4-Product Build 20210904 for Intel(R) 64 architecture applications + - Intel(R) MKL-DNN v2.6.0 (Git Hash 52b5f107dd9cf10910aaa19cb47f3abf9b349815) + - OpenMP 201511 (a.k.a. OpenMP 4.5) + - LAPACK is enabled (usually provided by MKL) + - NNPACK is enabled + - CPU capability usage: AVX2 + - CUDA Runtime 11.6 + - NVCC architecture flags: -gencode;arch=compute_37,code=sm_37;-gencode;arch=compute_50,code=sm_50;-gencode;arch=compute_60,code=sm_60;-gencode;arch=compute_61,code=sm_61;-gencode;arch=compute_70,code=sm_70;-gencode;arch=compute_75,code=sm_75;-gencode;arch=compute_80,code=sm_80;-gencode;arch=compute_86,code=sm_86;-gencode;arch=compute_37,code=compute_37 + - CuDNN 8.3.2 (built against CUDA 11.5) + - Magma 2.6.1 + - Build settings: BLAS_INFO=mkl, BUILD_TYPE=Release, CUDA_VERSION=11.6, CUDNN_VERSION=8.3.2, CXX_COMPILER=/opt/rh/devtoolset-9/root/usr/bin/c++, CXX_FLAGS= -fabi-version=11 -Wno-deprecated -fvisibility-inlines-hidden -DUSE_PTHREADPOOL -fopenmp -DNDEBUG -DUSE_KINETO -DUSE_FBGEMM -DUSE_QNNPACK -DUSE_PYTORCH_QNNPACK -DUSE_XNNPACK -DSYMBOLICATE_MOBILE_DEBUG_HANDLE -DEDGE_PROFILER_USE_KINETO -O2 -fPIC -Wno-narrowing -Wall -Wextra -Werror=return-type -Werror=non-virtual-dtor -Wno-missing-field-initializers -Wno-type-limits -Wno-array-bounds -Wno-unknown-pragmas -Wunused-local-typedefs -Wno-unused-parameter -Wno-unused-function -Wno-unused-result -Wno-strict-overflow -Wno-strict-aliasing -Wno-error=deprecated-declarations -Wno-stringop-overflow -Wno-psabi -Wno-error=pedantic -Wno-error=redundant-decls -Wno-error=old-style-cast -fdiagnostics-color=always -faligned-new -Wno-unused-but-set-variable -Wno-maybe-uninitialized -fno-math-errno -fno-trapping-math -Werror=format -Werror=cast-function-type -Wno-stringop-overflow, LAPACK_INFO=mkl, PERF_WITH_AVX=1, PERF_WITH_AVX2=1, PERF_WITH_AVX512=1, TORCH_VERSION=1.13.1, USE_CUDA=ON, USE_CUDNN=ON, USE_EXCEPTION_PTR=1, USE_GFLAGS=OFF, USE_GLOG=OFF, USE_MKL=ON, USE_MKLDNN=ON, USE_MPI=OFF, USE_NCCL=ON, USE_NNPACK=ON, USE_OPENMP=ON, USE_ROCM=OFF, + +TorchVision: 0.14.1 +OpenCV: 4.7.0 +MMCV: 1.7.1 +MMCV Compiler: GCC 9.3 +MMCV CUDA Compiler: 11.6 +MMSegmentation: 0.30.0+ab851eb +------------------------------------------------------------ + +2023-03-04 01:10:51,337 - mmseg - INFO - Distributed training: True +2023-03-04 01:10:52,012 - mmseg - INFO - Config: +norm_cfg = dict(type='SyncBN', requires_grad=True) +checkpoint = 'work_dirs2/segformer_mit_b2_segformer_head_unet_fc_single_step_ade_pretrained_freeze_embed_80k_ade20k151/best_mIoU_iter_64000.pth' +model = dict( + type='EncoderDecoderDiffusion', + freeze_parameters=['backbone', 'decode_head'], + pretrained= + 'work_dirs2/segformer_mit_b2_segformer_head_unet_fc_single_step_ade_pretrained_freeze_embed_80k_ade20k151/best_mIoU_iter_64000.pth', + backbone=dict( + type='MixVisionTransformerCustomInitWeights', + in_channels=3, + embed_dims=64, + num_stages=4, + num_layers=[3, 4, 6, 3], + num_heads=[1, 2, 5, 8], + patch_sizes=[7, 3, 3, 3], + sr_ratios=[8, 4, 2, 1], + out_indices=(0, 1, 2, 3), + mlp_ratio=4, + qkv_bias=True, + drop_rate=0.0, + attn_drop_rate=0.0, + drop_path_rate=0.1), + decode_head=dict( + type='SegformerHeadUnetFCHeadMultiStep', + pretrained= + 'work_dirs2/segformer_mit_b2_segformer_head_unet_fc_single_step_ade_pretrained_freeze_embed_80k_ade20k151/best_mIoU_iter_64000.pth', + dim=128, + out_dim=256, + unet_channels=272, + dim_mults=[1, 1, 1], + cat_embedding_dim=16, + diffusion_timesteps=50, + collect_timesteps=[0, 5, 10, 15, 20, 25, 30, 35, 40, 45, 49], + in_channels=[64, 128, 320, 512], + in_index=[0, 1, 2, 3], + channels=256, + dropout_ratio=0.1, + num_classes=151, + norm_cfg=dict(type='SyncBN', requires_grad=True), + align_corners=False, + ignore_index=0, + loss_decode=dict( + type='CrossEntropyLoss', use_sigmoid=False, loss_weight=1.0)), + train_cfg=dict(), + test_cfg=dict(mode='whole')) +dataset_type = 'ADE20K151Dataset' +data_root = 'data/ade/ADEChallengeData2016' +img_norm_cfg = dict( + mean=[123.675, 116.28, 103.53], std=[58.395, 57.12, 57.375], to_rgb=True) +crop_size = (512, 512) +train_pipeline = [ + dict(type='LoadImageFromFile'), + dict(type='LoadAnnotations', reduce_zero_label=False), + dict(type='Resize', img_scale=(2048, 512), ratio_range=(0.5, 2.0)), + dict(type='RandomCrop', crop_size=(512, 512), cat_max_ratio=0.75), + dict(type='RandomFlip', prob=0.5), + dict(type='PhotoMetricDistortion'), + dict( + type='Normalize', + mean=[123.675, 116.28, 103.53], + std=[58.395, 57.12, 57.375], + to_rgb=True), + dict(type='Pad', size=(512, 512), pad_val=0, seg_pad_val=0), + dict(type='DefaultFormatBundle'), + dict(type='Collect', keys=['img', 'gt_semantic_seg']) +] +test_pipeline = [ + dict(type='LoadImageFromFile'), + dict( + type='MultiScaleFlipAug', + img_scale=(2048, 512), + flip=False, + transforms=[ + dict(type='Resize', keep_ratio=True), + dict(type='RandomFlip'), + dict( + type='Normalize', + mean=[123.675, 116.28, 103.53], + std=[58.395, 57.12, 57.375], + to_rgb=True), + dict(type='Pad', size_divisor=16, pad_val=0, seg_pad_val=0), + dict(type='ImageToTensor', keys=['img']), + dict(type='Collect', keys=['img']) + ]) +] +data = dict( + samples_per_gpu=4, + workers_per_gpu=4, + train=dict( + type='ADE20K151Dataset', + data_root='data/ade/ADEChallengeData2016', + img_dir='images/training', + ann_dir='annotations/training', + pipeline=[ + dict(type='LoadImageFromFile'), + dict(type='LoadAnnotations', reduce_zero_label=False), + dict(type='Resize', img_scale=(2048, 512), ratio_range=(0.5, 2.0)), + dict(type='RandomCrop', crop_size=(512, 512), cat_max_ratio=0.75), + dict(type='RandomFlip', prob=0.5), + dict(type='PhotoMetricDistortion'), + dict( + type='Normalize', + mean=[123.675, 116.28, 103.53], + std=[58.395, 57.12, 57.375], + to_rgb=True), + dict(type='Pad', size=(512, 512), pad_val=0, seg_pad_val=0), + dict(type='DefaultFormatBundle'), + dict(type='Collect', keys=['img', 'gt_semantic_seg']) + ]), + val=dict( + type='ADE20K151Dataset', + data_root='data/ade/ADEChallengeData2016', + img_dir='images/validation', + ann_dir='annotations/validation', + pipeline=[ + dict(type='LoadImageFromFile'), + dict( + type='MultiScaleFlipAug', + img_scale=(2048, 512), + flip=False, + transforms=[ + dict(type='Resize', keep_ratio=True), + dict(type='RandomFlip'), + dict( + type='Normalize', + mean=[123.675, 116.28, 103.53], + std=[58.395, 57.12, 57.375], + to_rgb=True), + dict( + type='Pad', size_divisor=16, pad_val=0, seg_pad_val=0), + dict(type='ImageToTensor', keys=['img']), + dict(type='Collect', keys=['img']) + ]) + ]), + test=dict( + type='ADE20K151Dataset', + data_root='data/ade/ADEChallengeData2016', + img_dir='images/validation', + ann_dir='annotations/validation', + pipeline=[ + dict(type='LoadImageFromFile'), + dict( + type='MultiScaleFlipAug', + img_scale=(2048, 512), + flip=False, + transforms=[ + dict(type='Resize', keep_ratio=True), + dict(type='RandomFlip'), + dict( + type='Normalize', + mean=[123.675, 116.28, 103.53], + std=[58.395, 57.12, 57.375], + to_rgb=True), + dict( + type='Pad', size_divisor=16, pad_val=0, seg_pad_val=0), + dict(type='ImageToTensor', keys=['img']), + dict(type='Collect', keys=['img']) + ]) + ])) +log_config = dict( + interval=50, hooks=[dict(type='TextLoggerHook', by_epoch=False)]) +dist_params = dict(backend='nccl') +log_level = 'INFO' +load_from = None +resume_from = None +workflow = [('train', 1)] +cudnn_benchmark = True +optimizer = dict( + type='AdamW', lr=0.00015, betas=[0.9, 0.96], weight_decay=0.045) +optimizer_config = dict() +lr_config = dict( + policy='step', + warmup='linear', + warmup_iters=1000, + warmup_ratio=1e-06, + step=50000, + gamma=0.5, + min_lr=1e-06, + by_epoch=False) +runner = dict(type='IterBasedRunner', max_iters=160000) +checkpoint_config = dict(by_epoch=False, interval=16000, max_keep_ckpts=1) +evaluation = dict( + interval=16000, metric='mIoU', pre_eval=True, save_best='mIoU') +custom_hooks = [ + dict( + type='ConstantMomentumEMAHook', + momentum=0.01, + interval=25, + eval_interval=16000, + auto_resume=True, + priority=49) +] +work_dir = './work_dirs2/ablation_segformer_mit_b2_segformer_head_unet_fc_small_multi_step_ade_pretrained_freeze_embed_160k_ade20k151_finetune_ema_t50' +gpu_ids = range(0, 8) +auto_resume = True + +2023-03-04 01:10:56,834 - mmseg - INFO - Set random seed to 200113064, deterministic: False +2023-03-04 01:10:57,101 - mmseg - INFO - Parameters in backbone freezed! +2023-03-04 01:10:57,102 - mmseg - INFO - Trainable parameters in SegformerHeadUnetFCHeadMultiStep: ['unet.init_conv.weight', 'unet.init_conv.bias', 'unet.time_mlp.1.weight', 'unet.time_mlp.1.bias', 'unet.time_mlp.3.weight', 'unet.time_mlp.3.bias', 'unet.downs.0.0.mlp.1.weight', 'unet.downs.0.0.mlp.1.bias', 'unet.downs.0.0.block1.proj.weight', 'unet.downs.0.0.block1.proj.bias', 'unet.downs.0.0.block1.norm.weight', 'unet.downs.0.0.block1.norm.bias', 'unet.downs.0.0.block2.proj.weight', 'unet.downs.0.0.block2.proj.bias', 'unet.downs.0.0.block2.norm.weight', 'unet.downs.0.0.block2.norm.bias', 'unet.downs.0.1.mlp.1.weight', 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checkpoint from local path: work_dirs2/segformer_mit_b2_segformer_head_unet_fc_single_step_ade_pretrained_freeze_embed_80k_ade20k151/best_mIoU_iter_64000.pth +2023-03-04 01:10:58,001 - mmseg - WARNING - The model and loaded state dict do not match exactly + +unexpected key in source state_dict: decode_head.convs.0.conv.weight, decode_head.convs.0.bn.weight, decode_head.convs.0.bn.bias, decode_head.convs.0.bn.running_mean, decode_head.convs.0.bn.running_var, decode_head.convs.0.bn.num_batches_tracked, decode_head.convs.1.conv.weight, decode_head.convs.1.bn.weight, decode_head.convs.1.bn.bias, decode_head.convs.1.bn.running_mean, decode_head.convs.1.bn.running_var, decode_head.convs.1.bn.num_batches_tracked, decode_head.convs.2.conv.weight, decode_head.convs.2.bn.weight, decode_head.convs.2.bn.bias, decode_head.convs.2.bn.running_mean, decode_head.convs.2.bn.running_var, decode_head.convs.2.bn.num_batches_tracked, decode_head.convs.3.conv.weight, decode_head.convs.3.bn.weight, 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decode_head.unet.final_conv.bias, decode_head.conv_seg_new.weight, decode_head.conv_seg_new.bias, decode_head.embed.weight + +2023-03-04 01:10:58,015 - mmseg - INFO - load checkpoint from local path: work_dirs2/segformer_mit_b2_segformer_head_unet_fc_single_step_ade_pretrained_freeze_embed_80k_ade20k151/best_mIoU_iter_64000.pth +2023-03-04 01:10:58,469 - mmseg - WARNING - The model and loaded state dict do not match exactly + +unexpected key in source state_dict: backbone.layers.0.0.projection.weight, backbone.layers.0.0.projection.bias, backbone.layers.0.0.norm.weight, backbone.layers.0.0.norm.bias, backbone.layers.0.1.0.norm1.weight, backbone.layers.0.1.0.norm1.bias, backbone.layers.0.1.0.attn.attn.in_proj_weight, backbone.layers.0.1.0.attn.attn.in_proj_bias, backbone.layers.0.1.0.attn.attn.out_proj.weight, backbone.layers.0.1.0.attn.attn.out_proj.bias, backbone.layers.0.1.0.attn.sr.weight, backbone.layers.0.1.0.attn.sr.bias, backbone.layers.0.1.0.attn.norm.weight, 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MixVisionTransformerCustomInitWeights( + (layers): ModuleList( + (0): ModuleList( + (0): PatchEmbed( + (projection): Conv2d(3, 64, kernel_size=(7, 7), stride=(4, 4), padding=(3, 3)) + (norm): LayerNorm((64,), eps=1e-06, elementwise_affine=True) + ) + (1): ModuleList( + (0): TransformerEncoderLayer( + (norm1): LayerNorm((64,), eps=1e-06, elementwise_affine=True) + (attn): EfficientMultiheadAttention( + (attn): MultiheadAttention( + (out_proj): NonDynamicallyQuantizableLinear(in_features=64, out_features=64, bias=True) + ) + (proj_drop): Dropout(p=0.0, inplace=False) + (dropout_layer): DropPath() + (sr): Conv2d(64, 64, kernel_size=(8, 8), stride=(8, 8)) + (norm): LayerNorm((64,), eps=1e-06, elementwise_affine=True) + ) + (norm2): LayerNorm((64,), eps=1e-06, elementwise_affine=True) + (ffn): MixFFN( + (activate): GELU(approximate='none') + (layers): Sequential( + (0): Conv2d(64, 256, kernel_size=(1, 1), stride=(1, 1)) + (1): Conv2d(256, 256, kernel_size=(3, 3), stride=(1, 1), padding=(1, 1), groups=256) + (2): GELU(approximate='none') + (3): Dropout(p=0.0, inplace=False) + (4): Conv2d(256, 64, kernel_size=(1, 1), stride=(1, 1)) + (5): Dropout(p=0.0, inplace=False) + ) + (dropout_layer): DropPath() + ) + ) + (1): TransformerEncoderLayer( + (norm1): LayerNorm((64,), eps=1e-06, elementwise_affine=True) + (attn): EfficientMultiheadAttention( + (attn): MultiheadAttention( + (out_proj): NonDynamicallyQuantizableLinear(in_features=64, out_features=64, bias=True) + ) + (proj_drop): Dropout(p=0.0, inplace=False) + (dropout_layer): DropPath() + (sr): Conv2d(64, 64, kernel_size=(8, 8), stride=(8, 8)) + (norm): LayerNorm((64,), eps=1e-06, elementwise_affine=True) + ) + (norm2): LayerNorm((64,), eps=1e-06, elementwise_affine=True) + (ffn): MixFFN( + (activate): GELU(approximate='none') + (layers): Sequential( + (0): Conv2d(64, 256, kernel_size=(1, 1), stride=(1, 1)) + (1): Conv2d(256, 256, kernel_size=(3, 3), stride=(1, 1), padding=(1, 1), groups=256) + (2): GELU(approximate='none') + (3): Dropout(p=0.0, inplace=False) + (4): Conv2d(256, 64, kernel_size=(1, 1), stride=(1, 1)) + (5): Dropout(p=0.0, inplace=False) + ) + (dropout_layer): DropPath() + ) + ) + (2): TransformerEncoderLayer( + (norm1): LayerNorm((64,), eps=1e-06, elementwise_affine=True) + (attn): EfficientMultiheadAttention( + (attn): MultiheadAttention( + (out_proj): NonDynamicallyQuantizableLinear(in_features=64, out_features=64, bias=True) + ) + (proj_drop): Dropout(p=0.0, inplace=False) + (dropout_layer): DropPath() + (sr): Conv2d(64, 64, kernel_size=(8, 8), stride=(8, 8)) + (norm): LayerNorm((64,), eps=1e-06, elementwise_affine=True) + ) + (norm2): LayerNorm((64,), eps=1e-06, elementwise_affine=True) + (ffn): MixFFN( + (activate): GELU(approximate='none') + (layers): Sequential( + (0): Conv2d(64, 256, kernel_size=(1, 1), stride=(1, 1)) + (1): Conv2d(256, 256, kernel_size=(3, 3), stride=(1, 1), padding=(1, 1), groups=256) + (2): GELU(approximate='none') + (3): Dropout(p=0.0, inplace=False) + (4): Conv2d(256, 64, kernel_size=(1, 1), stride=(1, 1)) + (5): Dropout(p=0.0, inplace=False) + ) + (dropout_layer): DropPath() + ) + ) + ) + (2): LayerNorm((64,), eps=1e-06, elementwise_affine=True) + ) + (1): ModuleList( + (0): PatchEmbed( + (projection): Conv2d(64, 128, kernel_size=(3, 3), stride=(2, 2), padding=(1, 1)) + (norm): LayerNorm((128,), eps=1e-06, elementwise_affine=True) + ) + (1): ModuleList( + (0): TransformerEncoderLayer( + (norm1): LayerNorm((128,), eps=1e-06, elementwise_affine=True) + (attn): EfficientMultiheadAttention( + (attn): MultiheadAttention( + (out_proj): NonDynamicallyQuantizableLinear(in_features=128, out_features=128, bias=True) + ) + (proj_drop): Dropout(p=0.0, inplace=False) + (dropout_layer): DropPath() + (sr): Conv2d(128, 128, kernel_size=(4, 4), stride=(4, 4)) + (norm): LayerNorm((128,), eps=1e-06, elementwise_affine=True) + ) + (norm2): LayerNorm((128,), eps=1e-06, elementwise_affine=True) + (ffn): MixFFN( + (activate): GELU(approximate='none') + (layers): Sequential( + (0): Conv2d(128, 512, kernel_size=(1, 1), stride=(1, 1)) + (1): Conv2d(512, 512, kernel_size=(3, 3), stride=(1, 1), padding=(1, 1), groups=512) + (2): GELU(approximate='none') + (3): Dropout(p=0.0, inplace=False) + (4): Conv2d(512, 128, kernel_size=(1, 1), stride=(1, 1)) + (5): Dropout(p=0.0, inplace=False) + ) + (dropout_layer): DropPath() + ) + ) + (1): TransformerEncoderLayer( + (norm1): LayerNorm((128,), eps=1e-06, elementwise_affine=True) + (attn): EfficientMultiheadAttention( + (attn): MultiheadAttention( + (out_proj): NonDynamicallyQuantizableLinear(in_features=128, out_features=128, bias=True) + ) + (proj_drop): Dropout(p=0.0, inplace=False) + (dropout_layer): DropPath() + (sr): Conv2d(128, 128, kernel_size=(4, 4), stride=(4, 4)) + (norm): LayerNorm((128,), eps=1e-06, elementwise_affine=True) + ) + (norm2): LayerNorm((128,), eps=1e-06, elementwise_affine=True) + (ffn): MixFFN( + (activate): GELU(approximate='none') + (layers): Sequential( + (0): Conv2d(128, 512, kernel_size=(1, 1), stride=(1, 1)) + (1): Conv2d(512, 512, kernel_size=(3, 3), stride=(1, 1), padding=(1, 1), groups=512) + (2): GELU(approximate='none') + (3): Dropout(p=0.0, inplace=False) + (4): Conv2d(512, 128, kernel_size=(1, 1), stride=(1, 1)) + (5): Dropout(p=0.0, inplace=False) + ) + (dropout_layer): DropPath() + ) + ) + (2): TransformerEncoderLayer( + (norm1): LayerNorm((128,), eps=1e-06, elementwise_affine=True) + (attn): EfficientMultiheadAttention( + (attn): MultiheadAttention( + (out_proj): NonDynamicallyQuantizableLinear(in_features=128, out_features=128, bias=True) + ) + (proj_drop): Dropout(p=0.0, inplace=False) + (dropout_layer): DropPath() + (sr): Conv2d(128, 128, kernel_size=(4, 4), stride=(4, 4)) + (norm): LayerNorm((128,), eps=1e-06, elementwise_affine=True) + ) + (norm2): LayerNorm((128,), eps=1e-06, elementwise_affine=True) + (ffn): MixFFN( + (activate): GELU(approximate='none') + (layers): Sequential( + (0): Conv2d(128, 512, kernel_size=(1, 1), stride=(1, 1)) + (1): Conv2d(512, 512, kernel_size=(3, 3), stride=(1, 1), padding=(1, 1), groups=512) + (2): GELU(approximate='none') + (3): Dropout(p=0.0, inplace=False) + (4): Conv2d(512, 128, kernel_size=(1, 1), stride=(1, 1)) + (5): Dropout(p=0.0, inplace=False) + ) + (dropout_layer): DropPath() + ) + ) + (3): TransformerEncoderLayer( + (norm1): LayerNorm((128,), eps=1e-06, elementwise_affine=True) + (attn): EfficientMultiheadAttention( + (attn): MultiheadAttention( + (out_proj): NonDynamicallyQuantizableLinear(in_features=128, out_features=128, bias=True) + ) + (proj_drop): Dropout(p=0.0, inplace=False) + (dropout_layer): DropPath() + (sr): Conv2d(128, 128, kernel_size=(4, 4), stride=(4, 4)) + (norm): LayerNorm((128,), eps=1e-06, elementwise_affine=True) + ) + (norm2): LayerNorm((128,), eps=1e-06, elementwise_affine=True) + (ffn): MixFFN( + (activate): GELU(approximate='none') + (layers): Sequential( + (0): Conv2d(128, 512, kernel_size=(1, 1), stride=(1, 1)) + (1): Conv2d(512, 512, kernel_size=(3, 3), stride=(1, 1), padding=(1, 1), groups=512) + (2): GELU(approximate='none') + (3): Dropout(p=0.0, inplace=False) + (4): Conv2d(512, 128, kernel_size=(1, 1), stride=(1, 1)) + (5): Dropout(p=0.0, inplace=False) + ) + (dropout_layer): DropPath() + ) + ) + ) + (2): LayerNorm((128,), eps=1e-06, elementwise_affine=True) + ) + (2): ModuleList( + (0): PatchEmbed( + (projection): Conv2d(128, 320, kernel_size=(3, 3), stride=(2, 2), padding=(1, 1)) + (norm): LayerNorm((320,), eps=1e-06, elementwise_affine=True) + ) + (1): ModuleList( + (0): TransformerEncoderLayer( + (norm1): LayerNorm((320,), eps=1e-06, elementwise_affine=True) + (attn): EfficientMultiheadAttention( + (attn): MultiheadAttention( + (out_proj): NonDynamicallyQuantizableLinear(in_features=320, out_features=320, bias=True) + ) + (proj_drop): Dropout(p=0.0, inplace=False) + (dropout_layer): DropPath() + (sr): Conv2d(320, 320, kernel_size=(2, 2), stride=(2, 2)) + (norm): LayerNorm((320,), eps=1e-06, elementwise_affine=True) + ) + (norm2): LayerNorm((320,), eps=1e-06, elementwise_affine=True) + (ffn): MixFFN( + (activate): GELU(approximate='none') + (layers): Sequential( + (0): Conv2d(320, 1280, kernel_size=(1, 1), stride=(1, 1)) + (1): Conv2d(1280, 1280, kernel_size=(3, 3), stride=(1, 1), padding=(1, 1), groups=1280) + (2): GELU(approximate='none') + (3): Dropout(p=0.0, inplace=False) + (4): Conv2d(1280, 320, kernel_size=(1, 1), stride=(1, 1)) + (5): Dropout(p=0.0, inplace=False) + ) + (dropout_layer): DropPath() + ) + ) + (1): TransformerEncoderLayer( + (norm1): LayerNorm((320,), eps=1e-06, elementwise_affine=True) + (attn): EfficientMultiheadAttention( + (attn): MultiheadAttention( + (out_proj): NonDynamicallyQuantizableLinear(in_features=320, out_features=320, bias=True) + ) + (proj_drop): Dropout(p=0.0, inplace=False) + (dropout_layer): DropPath() + (sr): Conv2d(320, 320, kernel_size=(2, 2), stride=(2, 2)) + (norm): LayerNorm((320,), eps=1e-06, elementwise_affine=True) + ) + (norm2): LayerNorm((320,), eps=1e-06, elementwise_affine=True) + (ffn): MixFFN( + (activate): GELU(approximate='none') + (layers): Sequential( + (0): Conv2d(320, 1280, kernel_size=(1, 1), stride=(1, 1)) + (1): Conv2d(1280, 1280, kernel_size=(3, 3), stride=(1, 1), padding=(1, 1), groups=1280) + (2): GELU(approximate='none') + (3): Dropout(p=0.0, inplace=False) + (4): Conv2d(1280, 320, kernel_size=(1, 1), stride=(1, 1)) + (5): Dropout(p=0.0, inplace=False) + ) + (dropout_layer): DropPath() + ) + ) + (2): TransformerEncoderLayer( + (norm1): LayerNorm((320,), eps=1e-06, elementwise_affine=True) + (attn): EfficientMultiheadAttention( + (attn): MultiheadAttention( + (out_proj): NonDynamicallyQuantizableLinear(in_features=320, out_features=320, bias=True) + ) + (proj_drop): Dropout(p=0.0, inplace=False) + (dropout_layer): DropPath() + (sr): Conv2d(320, 320, kernel_size=(2, 2), stride=(2, 2)) + (norm): LayerNorm((320,), eps=1e-06, elementwise_affine=True) + ) + (norm2): LayerNorm((320,), eps=1e-06, elementwise_affine=True) + (ffn): MixFFN( + (activate): GELU(approximate='none') + (layers): Sequential( + (0): Conv2d(320, 1280, kernel_size=(1, 1), stride=(1, 1)) + (1): Conv2d(1280, 1280, kernel_size=(3, 3), stride=(1, 1), padding=(1, 1), groups=1280) + (2): GELU(approximate='none') + (3): Dropout(p=0.0, inplace=False) + (4): Conv2d(1280, 320, kernel_size=(1, 1), stride=(1, 1)) + (5): Dropout(p=0.0, inplace=False) + ) + (dropout_layer): DropPath() + ) + ) + (3): TransformerEncoderLayer( + (norm1): LayerNorm((320,), eps=1e-06, elementwise_affine=True) + (attn): EfficientMultiheadAttention( + (attn): MultiheadAttention( + (out_proj): NonDynamicallyQuantizableLinear(in_features=320, out_features=320, bias=True) + ) + (proj_drop): Dropout(p=0.0, inplace=False) + (dropout_layer): DropPath() + (sr): Conv2d(320, 320, kernel_size=(2, 2), stride=(2, 2)) + (norm): LayerNorm((320,), eps=1e-06, elementwise_affine=True) + ) + (norm2): LayerNorm((320,), eps=1e-06, elementwise_affine=True) + (ffn): MixFFN( + (activate): GELU(approximate='none') + (layers): Sequential( + (0): Conv2d(320, 1280, kernel_size=(1, 1), stride=(1, 1)) + (1): Conv2d(1280, 1280, kernel_size=(3, 3), stride=(1, 1), padding=(1, 1), groups=1280) + (2): GELU(approximate='none') + (3): Dropout(p=0.0, inplace=False) + (4): Conv2d(1280, 320, kernel_size=(1, 1), stride=(1, 1)) + (5): Dropout(p=0.0, inplace=False) + ) + (dropout_layer): DropPath() + ) + ) + (4): TransformerEncoderLayer( + (norm1): LayerNorm((320,), eps=1e-06, elementwise_affine=True) + (attn): EfficientMultiheadAttention( + (attn): MultiheadAttention( + (out_proj): NonDynamicallyQuantizableLinear(in_features=320, out_features=320, bias=True) + ) + (proj_drop): Dropout(p=0.0, inplace=False) + (dropout_layer): DropPath() + (sr): Conv2d(320, 320, kernel_size=(2, 2), stride=(2, 2)) + (norm): LayerNorm((320,), eps=1e-06, elementwise_affine=True) + ) + (norm2): LayerNorm((320,), eps=1e-06, elementwise_affine=True) + (ffn): MixFFN( + (activate): GELU(approximate='none') + (layers): Sequential( + (0): Conv2d(320, 1280, kernel_size=(1, 1), stride=(1, 1)) + (1): Conv2d(1280, 1280, kernel_size=(3, 3), stride=(1, 1), padding=(1, 1), groups=1280) + (2): GELU(approximate='none') + (3): Dropout(p=0.0, inplace=False) + (4): Conv2d(1280, 320, kernel_size=(1, 1), stride=(1, 1)) + (5): Dropout(p=0.0, inplace=False) + ) + (dropout_layer): DropPath() + ) + ) + (5): TransformerEncoderLayer( + (norm1): LayerNorm((320,), eps=1e-06, elementwise_affine=True) + (attn): EfficientMultiheadAttention( + (attn): MultiheadAttention( + (out_proj): NonDynamicallyQuantizableLinear(in_features=320, out_features=320, bias=True) + ) + (proj_drop): Dropout(p=0.0, inplace=False) + (dropout_layer): DropPath() + (sr): Conv2d(320, 320, kernel_size=(2, 2), stride=(2, 2)) + (norm): LayerNorm((320,), eps=1e-06, elementwise_affine=True) + ) + (norm2): LayerNorm((320,), eps=1e-06, elementwise_affine=True) + (ffn): MixFFN( + (activate): GELU(approximate='none') + (layers): Sequential( + (0): Conv2d(320, 1280, kernel_size=(1, 1), stride=(1, 1)) + (1): Conv2d(1280, 1280, kernel_size=(3, 3), stride=(1, 1), padding=(1, 1), groups=1280) + (2): GELU(approximate='none') + (3): Dropout(p=0.0, inplace=False) + (4): Conv2d(1280, 320, kernel_size=(1, 1), stride=(1, 1)) + (5): Dropout(p=0.0, inplace=False) + ) + (dropout_layer): DropPath() + ) + ) + ) + (2): LayerNorm((320,), eps=1e-06, elementwise_affine=True) + ) + (3): ModuleList( + (0): PatchEmbed( + (projection): Conv2d(320, 512, kernel_size=(3, 3), stride=(2, 2), padding=(1, 1)) + (norm): LayerNorm((512,), eps=1e-06, elementwise_affine=True) + ) + (1): ModuleList( + (0): TransformerEncoderLayer( + (norm1): LayerNorm((512,), eps=1e-06, elementwise_affine=True) + (attn): EfficientMultiheadAttention( + (attn): MultiheadAttention( + (out_proj): NonDynamicallyQuantizableLinear(in_features=512, out_features=512, bias=True) + ) + (proj_drop): Dropout(p=0.0, inplace=False) + (dropout_layer): DropPath() + ) + (norm2): LayerNorm((512,), eps=1e-06, elementwise_affine=True) + (ffn): MixFFN( + (activate): GELU(approximate='none') + (layers): Sequential( + (0): Conv2d(512, 2048, kernel_size=(1, 1), stride=(1, 1)) + (1): Conv2d(2048, 2048, kernel_size=(3, 3), stride=(1, 1), padding=(1, 1), groups=2048) + (2): GELU(approximate='none') + (3): Dropout(p=0.0, inplace=False) + (4): Conv2d(2048, 512, kernel_size=(1, 1), stride=(1, 1)) + (5): Dropout(p=0.0, inplace=False) + ) + (dropout_layer): DropPath() + ) + ) + (1): TransformerEncoderLayer( + (norm1): LayerNorm((512,), eps=1e-06, elementwise_affine=True) + (attn): EfficientMultiheadAttention( + (attn): MultiheadAttention( + (out_proj): NonDynamicallyQuantizableLinear(in_features=512, out_features=512, bias=True) + ) + (proj_drop): Dropout(p=0.0, inplace=False) + (dropout_layer): DropPath() + ) + (norm2): LayerNorm((512,), eps=1e-06, elementwise_affine=True) + (ffn): MixFFN( + (activate): GELU(approximate='none') + (layers): Sequential( + (0): Conv2d(512, 2048, kernel_size=(1, 1), stride=(1, 1)) + (1): Conv2d(2048, 2048, kernel_size=(3, 3), stride=(1, 1), padding=(1, 1), groups=2048) + (2): GELU(approximate='none') + (3): Dropout(p=0.0, inplace=False) + (4): Conv2d(2048, 512, kernel_size=(1, 1), stride=(1, 1)) + (5): Dropout(p=0.0, inplace=False) + ) + (dropout_layer): DropPath() + ) + ) + (2): TransformerEncoderLayer( + (norm1): LayerNorm((512,), eps=1e-06, elementwise_affine=True) + (attn): EfficientMultiheadAttention( + (attn): MultiheadAttention( + (out_proj): NonDynamicallyQuantizableLinear(in_features=512, out_features=512, bias=True) + ) + (proj_drop): Dropout(p=0.0, inplace=False) + (dropout_layer): DropPath() + ) + (norm2): LayerNorm((512,), eps=1e-06, elementwise_affine=True) + (ffn): MixFFN( + (activate): GELU(approximate='none') + (layers): Sequential( + (0): Conv2d(512, 2048, kernel_size=(1, 1), stride=(1, 1)) + (1): Conv2d(2048, 2048, kernel_size=(3, 3), stride=(1, 1), padding=(1, 1), groups=2048) + (2): GELU(approximate='none') + (3): Dropout(p=0.0, inplace=False) + (4): Conv2d(2048, 512, kernel_size=(1, 1), stride=(1, 1)) + (5): Dropout(p=0.0, inplace=False) + ) + (dropout_layer): DropPath() + ) + ) + ) + (2): LayerNorm((512,), eps=1e-06, elementwise_affine=True) + ) + ) + ) + init_cfg={'type': 'Pretrained', 'checkpoint': 'work_dirs2/segformer_mit_b2_segformer_head_unet_fc_single_step_ade_pretrained_freeze_embed_80k_ade20k151/best_mIoU_iter_64000.pth'} + (decode_head): SegformerHeadUnetFCHeadMultiStep( + input_transform=multiple_select, ignore_index=0, align_corners=False + (loss_decode): CrossEntropyLoss(avg_non_ignore=False) + (conv_seg): None + (dropout): Dropout2d(p=0.1, inplace=False) + (convs): ModuleList( + (0): ConvModule( + (conv): Conv2d(64, 256, kernel_size=(1, 1), stride=(1, 1), bias=False) + (bn): SyncBatchNorm(256, eps=1e-05, momentum=0.1, affine=True, track_running_stats=True) + (activate): ReLU(inplace=True) + ) + (1): ConvModule( + (conv): Conv2d(128, 256, kernel_size=(1, 1), stride=(1, 1), bias=False) + (bn): SyncBatchNorm(256, eps=1e-05, momentum=0.1, affine=True, track_running_stats=True) + (activate): ReLU(inplace=True) + ) + (2): ConvModule( + (conv): Conv2d(320, 256, kernel_size=(1, 1), stride=(1, 1), bias=False) + (bn): SyncBatchNorm(256, eps=1e-05, momentum=0.1, affine=True, track_running_stats=True) + (activate): ReLU(inplace=True) + ) + (3): ConvModule( + (conv): Conv2d(512, 256, kernel_size=(1, 1), stride=(1, 1), bias=False) + (bn): SyncBatchNorm(256, eps=1e-05, momentum=0.1, affine=True, track_running_stats=True) + (activate): ReLU(inplace=True) + ) + ) + (fusion_conv): ConvModule( + (conv): Conv2d(1024, 256, kernel_size=(1, 1), stride=(1, 1), bias=False) + (bn): SyncBatchNorm(256, eps=1e-05, momentum=0.1, affine=True, track_running_stats=True) + (activate): ReLU(inplace=True) + ) + (unet): Unet( + (init_conv): Conv2d(272, 128, kernel_size=(7, 7), stride=(1, 1), padding=(3, 3)) + (time_mlp): Sequential( + (0): SinusoidalPosEmb() + (1): Linear(in_features=128, out_features=512, bias=True) + (2): GELU(approximate='none') + (3): Linear(in_features=512, out_features=512, bias=True) + ) + (downs): ModuleList( + (0): ModuleList( + (0): ResnetBlock( + (mlp): Sequential( + (0): SiLU() + (1): Linear(in_features=512, out_features=256, bias=True) + ) + (block1): Block( + (proj): WeightStandardizedConv2d(128, 128, kernel_size=(3, 3), stride=(1, 1), padding=(1, 1)) + (norm): GroupNorm(8, 128, eps=1e-05, affine=True) + (act): SiLU() + ) + (block2): Block( + (proj): WeightStandardizedConv2d(128, 128, kernel_size=(3, 3), stride=(1, 1), padding=(1, 1)) + (norm): GroupNorm(8, 128, eps=1e-05, affine=True) + (act): SiLU() + ) + (res_conv): Identity() + ) + (1): ResnetBlock( + (mlp): Sequential( + (0): SiLU() + (1): Linear(in_features=512, out_features=256, bias=True) + ) + (block1): Block( + (proj): WeightStandardizedConv2d(128, 128, kernel_size=(3, 3), stride=(1, 1), padding=(1, 1)) + (norm): GroupNorm(8, 128, eps=1e-05, affine=True) + (act): SiLU() + ) + (block2): Block( + (proj): WeightStandardizedConv2d(128, 128, kernel_size=(3, 3), stride=(1, 1), padding=(1, 1)) + (norm): GroupNorm(8, 128, eps=1e-05, affine=True) + (act): SiLU() + ) + (res_conv): Identity() + ) + (2): Residual( + (fn): PreNorm( + (fn): LinearAttention( + (to_qkv): Conv2d(128, 384, kernel_size=(1, 1), stride=(1, 1), bias=False) + (to_out): Sequential( + (0): Conv2d(128, 128, kernel_size=(1, 1), stride=(1, 1)) + (1): LayerNorm() + ) + ) + (norm): LayerNorm() + ) + ) + (3): Conv2d(128, 128, kernel_size=(4, 4), stride=(2, 2), padding=(1, 1)) + ) + (1): ModuleList( + (0): ResnetBlock( + (mlp): Sequential( + (0): SiLU() + (1): Linear(in_features=512, out_features=256, bias=True) + ) + (block1): Block( + (proj): WeightStandardizedConv2d(128, 128, kernel_size=(3, 3), stride=(1, 1), padding=(1, 1)) + (norm): GroupNorm(8, 128, eps=1e-05, affine=True) + (act): SiLU() + ) + (block2): Block( + (proj): WeightStandardizedConv2d(128, 128, kernel_size=(3, 3), stride=(1, 1), padding=(1, 1)) + (norm): GroupNorm(8, 128, eps=1e-05, affine=True) + (act): SiLU() + ) + (res_conv): Identity() + ) + (1): ResnetBlock( + (mlp): Sequential( + (0): SiLU() + (1): Linear(in_features=512, out_features=256, bias=True) + ) + (block1): Block( + (proj): WeightStandardizedConv2d(128, 128, kernel_size=(3, 3), stride=(1, 1), padding=(1, 1)) + (norm): GroupNorm(8, 128, eps=1e-05, affine=True) + (act): SiLU() + ) + (block2): Block( + (proj): WeightStandardizedConv2d(128, 128, kernel_size=(3, 3), stride=(1, 1), padding=(1, 1)) + (norm): GroupNorm(8, 128, eps=1e-05, affine=True) + (act): SiLU() + ) + (res_conv): Identity() + ) + (2): Residual( + (fn): PreNorm( + (fn): LinearAttention( + (to_qkv): Conv2d(128, 384, kernel_size=(1, 1), stride=(1, 1), bias=False) + (to_out): Sequential( + (0): Conv2d(128, 128, kernel_size=(1, 1), stride=(1, 1)) + (1): LayerNorm() + ) + ) + (norm): LayerNorm() + ) + ) + (3): Conv2d(128, 128, kernel_size=(4, 4), stride=(2, 2), padding=(1, 1)) + ) + (2): ModuleList( + (0): ResnetBlock( + (mlp): Sequential( + (0): SiLU() + (1): Linear(in_features=512, out_features=256, bias=True) + ) + (block1): Block( + (proj): WeightStandardizedConv2d(128, 128, kernel_size=(3, 3), stride=(1, 1), padding=(1, 1)) + (norm): GroupNorm(8, 128, eps=1e-05, affine=True) + (act): SiLU() + ) + (block2): Block( + (proj): WeightStandardizedConv2d(128, 128, kernel_size=(3, 3), stride=(1, 1), padding=(1, 1)) + (norm): GroupNorm(8, 128, eps=1e-05, affine=True) + (act): SiLU() + ) + (res_conv): Identity() + ) + (1): ResnetBlock( + (mlp): Sequential( + (0): SiLU() + (1): Linear(in_features=512, out_features=256, bias=True) + ) + (block1): Block( + (proj): WeightStandardizedConv2d(128, 128, kernel_size=(3, 3), stride=(1, 1), padding=(1, 1)) + (norm): GroupNorm(8, 128, eps=1e-05, affine=True) + (act): SiLU() + ) + (block2): Block( + (proj): WeightStandardizedConv2d(128, 128, kernel_size=(3, 3), stride=(1, 1), padding=(1, 1)) + (norm): GroupNorm(8, 128, eps=1e-05, affine=True) + (act): SiLU() + ) + (res_conv): Identity() + ) + (2): Residual( + (fn): PreNorm( + (fn): LinearAttention( + (to_qkv): Conv2d(128, 384, kernel_size=(1, 1), stride=(1, 1), bias=False) + (to_out): Sequential( + (0): Conv2d(128, 128, kernel_size=(1, 1), stride=(1, 1)) + (1): LayerNorm() + ) + ) + (norm): LayerNorm() + ) + ) + (3): Conv2d(128, 128, kernel_size=(3, 3), stride=(1, 1), padding=(1, 1)) + ) + ) + (ups): ModuleList( + (0): ModuleList( + (0): ResnetBlock( + (mlp): Sequential( + (0): SiLU() + (1): Linear(in_features=512, out_features=256, bias=True) + ) + (block1): Block( + (proj): WeightStandardizedConv2d(256, 128, kernel_size=(3, 3), stride=(1, 1), padding=(1, 1)) + (norm): GroupNorm(8, 128, eps=1e-05, affine=True) + (act): SiLU() + ) + (block2): Block( + (proj): WeightStandardizedConv2d(128, 128, kernel_size=(3, 3), stride=(1, 1), padding=(1, 1)) + (norm): GroupNorm(8, 128, eps=1e-05, affine=True) + (act): SiLU() + ) + (res_conv): Conv2d(256, 128, kernel_size=(1, 1), stride=(1, 1)) + ) + (1): ResnetBlock( + (mlp): Sequential( + (0): SiLU() + (1): Linear(in_features=512, out_features=256, bias=True) + ) + (block1): Block( + (proj): WeightStandardizedConv2d(256, 128, kernel_size=(3, 3), stride=(1, 1), padding=(1, 1)) + (norm): GroupNorm(8, 128, eps=1e-05, affine=True) + (act): SiLU() + ) + (block2): Block( + (proj): WeightStandardizedConv2d(128, 128, kernel_size=(3, 3), stride=(1, 1), padding=(1, 1)) + (norm): GroupNorm(8, 128, eps=1e-05, affine=True) + (act): SiLU() + ) + (res_conv): Conv2d(256, 128, kernel_size=(1, 1), stride=(1, 1)) + ) + (2): Residual( + (fn): PreNorm( + (fn): LinearAttention( + (to_qkv): Conv2d(128, 384, kernel_size=(1, 1), stride=(1, 1), bias=False) + (to_out): Sequential( + (0): Conv2d(128, 128, kernel_size=(1, 1), stride=(1, 1)) + (1): LayerNorm() + ) + ) + (norm): LayerNorm() + ) + ) + (3): Sequential( + (0): Upsample(scale_factor=2.0, mode=nearest) + (1): Conv2d(128, 128, kernel_size=(3, 3), stride=(1, 1), padding=(1, 1)) + ) + ) + (1): ModuleList( + (0): ResnetBlock( + (mlp): Sequential( + (0): SiLU() + (1): Linear(in_features=512, out_features=256, bias=True) + ) + (block1): Block( + (proj): WeightStandardizedConv2d(256, 128, kernel_size=(3, 3), stride=(1, 1), padding=(1, 1)) + (norm): GroupNorm(8, 128, eps=1e-05, affine=True) + (act): SiLU() + ) + (block2): Block( + (proj): WeightStandardizedConv2d(128, 128, kernel_size=(3, 3), stride=(1, 1), padding=(1, 1)) + (norm): GroupNorm(8, 128, eps=1e-05, affine=True) + (act): SiLU() + ) + (res_conv): Conv2d(256, 128, kernel_size=(1, 1), stride=(1, 1)) + ) + (1): ResnetBlock( + (mlp): Sequential( + (0): SiLU() + (1): Linear(in_features=512, out_features=256, bias=True) + ) + (block1): Block( + (proj): WeightStandardizedConv2d(256, 128, kernel_size=(3, 3), stride=(1, 1), padding=(1, 1)) + (norm): GroupNorm(8, 128, eps=1e-05, affine=True) + (act): SiLU() + ) + (block2): Block( + (proj): WeightStandardizedConv2d(128, 128, kernel_size=(3, 3), stride=(1, 1), padding=(1, 1)) + (norm): GroupNorm(8, 128, eps=1e-05, affine=True) + (act): SiLU() + ) + (res_conv): Conv2d(256, 128, kernel_size=(1, 1), stride=(1, 1)) + ) + (2): Residual( + (fn): PreNorm( + (fn): LinearAttention( + (to_qkv): Conv2d(128, 384, kernel_size=(1, 1), stride=(1, 1), bias=False) + (to_out): Sequential( + (0): Conv2d(128, 128, kernel_size=(1, 1), stride=(1, 1)) + (1): LayerNorm() + ) + ) + (norm): LayerNorm() + ) + ) + (3): Sequential( + (0): Upsample(scale_factor=2.0, mode=nearest) + (1): Conv2d(128, 128, kernel_size=(3, 3), stride=(1, 1), padding=(1, 1)) + ) + ) + (2): ModuleList( + (0): ResnetBlock( + (mlp): Sequential( + (0): SiLU() + (1): Linear(in_features=512, out_features=256, bias=True) + ) + (block1): Block( + (proj): WeightStandardizedConv2d(256, 128, kernel_size=(3, 3), stride=(1, 1), padding=(1, 1)) + (norm): GroupNorm(8, 128, eps=1e-05, affine=True) + (act): SiLU() + ) + (block2): Block( + (proj): WeightStandardizedConv2d(128, 128, kernel_size=(3, 3), stride=(1, 1), padding=(1, 1)) + (norm): GroupNorm(8, 128, eps=1e-05, affine=True) + (act): SiLU() + ) + (res_conv): Conv2d(256, 128, kernel_size=(1, 1), stride=(1, 1)) + ) + (1): ResnetBlock( + (mlp): Sequential( + (0): SiLU() + (1): Linear(in_features=512, out_features=256, bias=True) + ) + (block1): Block( + (proj): WeightStandardizedConv2d(256, 128, kernel_size=(3, 3), stride=(1, 1), padding=(1, 1)) + (norm): GroupNorm(8, 128, eps=1e-05, affine=True) + (act): SiLU() + ) + (block2): Block( + (proj): WeightStandardizedConv2d(128, 128, kernel_size=(3, 3), stride=(1, 1), padding=(1, 1)) + (norm): GroupNorm(8, 128, eps=1e-05, affine=True) + (act): SiLU() + ) + (res_conv): Conv2d(256, 128, kernel_size=(1, 1), stride=(1, 1)) + ) + (2): Residual( + (fn): PreNorm( + (fn): LinearAttention( + (to_qkv): Conv2d(128, 384, kernel_size=(1, 1), stride=(1, 1), bias=False) + (to_out): Sequential( + (0): Conv2d(128, 128, kernel_size=(1, 1), stride=(1, 1)) + (1): LayerNorm() + ) + ) + (norm): LayerNorm() + ) + ) + (3): Conv2d(128, 128, kernel_size=(3, 3), stride=(1, 1), padding=(1, 1)) + ) + ) + (mid_block1): ResnetBlock( + (mlp): Sequential( + (0): SiLU() + (1): Linear(in_features=512, out_features=256, bias=True) + ) + (block1): Block( + (proj): WeightStandardizedConv2d(128, 128, kernel_size=(3, 3), stride=(1, 1), padding=(1, 1)) + (norm): GroupNorm(8, 128, eps=1e-05, affine=True) + (act): SiLU() + ) + (block2): Block( + (proj): WeightStandardizedConv2d(128, 128, kernel_size=(3, 3), stride=(1, 1), padding=(1, 1)) + (norm): GroupNorm(8, 128, eps=1e-05, affine=True) + (act): SiLU() + ) + (res_conv): Identity() + ) + (mid_attn): Residual( + (fn): PreNorm( + (fn): Attention( + (to_qkv): Conv2d(128, 384, kernel_size=(1, 1), stride=(1, 1), bias=False) + (to_out): Conv2d(128, 128, kernel_size=(1, 1), stride=(1, 1)) + ) + (norm): LayerNorm() + ) + ) + (mid_block2): ResnetBlock( + (mlp): Sequential( + (0): SiLU() + (1): Linear(in_features=512, out_features=256, bias=True) + ) + (block1): Block( + (proj): WeightStandardizedConv2d(128, 128, kernel_size=(3, 3), stride=(1, 1), padding=(1, 1)) + (norm): GroupNorm(8, 128, eps=1e-05, affine=True) + (act): SiLU() + ) + (block2): Block( + (proj): WeightStandardizedConv2d(128, 128, kernel_size=(3, 3), stride=(1, 1), padding=(1, 1)) + (norm): GroupNorm(8, 128, eps=1e-05, affine=True) + (act): SiLU() + ) + (res_conv): Identity() + ) + (final_res_block): ResnetBlock( + (mlp): Sequential( + (0): SiLU() + (1): Linear(in_features=512, out_features=256, bias=True) + ) + (block1): Block( + (proj): WeightStandardizedConv2d(256, 128, kernel_size=(3, 3), stride=(1, 1), padding=(1, 1)) + (norm): GroupNorm(8, 128, eps=1e-05, affine=True) + (act): SiLU() + ) + (block2): Block( + (proj): WeightStandardizedConv2d(128, 128, kernel_size=(3, 3), stride=(1, 1), padding=(1, 1)) + (norm): GroupNorm(8, 128, eps=1e-05, affine=True) + (act): SiLU() + ) + (res_conv): Conv2d(256, 128, kernel_size=(1, 1), stride=(1, 1)) + ) + (final_conv): Conv2d(128, 256, kernel_size=(1, 1), stride=(1, 1)) + ) + (conv_seg_new): Conv2d(256, 151, kernel_size=(1, 1), stride=(1, 1)) + (embed): Embedding(151, 16) + ) + init_cfg={'type': 'Pretrained', 'checkpoint': 'work_dirs2/segformer_mit_b2_segformer_head_unet_fc_single_step_ade_pretrained_freeze_embed_80k_ade20k151/best_mIoU_iter_64000.pth'} +) +2023-03-04 01:10:58,984 - mmseg - INFO - Loaded 20210 images +2023-03-04 01:11:02,695 - mmseg - INFO - Loaded 2000 images +2023-03-04 01:11:02,698 - mmseg - INFO - Start running, host: laizeqiang@SH-IDC1-10-140-37-130, work_dir: /mnt/petrelfs/laizeqiang/mmseg-baseline/work_dirs2/ablation_segformer_mit_b2_segformer_head_unet_fc_small_multi_step_ade_pretrained_freeze_embed_160k_ade20k151_finetune_ema_t50 +2023-03-04 01:11:02,698 - mmseg - INFO - Hooks will be executed in the following order: +before_run: +(VERY_HIGH ) StepLrUpdaterHook +(49 ) ConstantMomentumEMAHook +(NORMAL ) CheckpointHook +(LOW ) DistEvalHookMultiSteps +(VERY_LOW ) TextLoggerHook + -------------------- +before_train_epoch: +(VERY_HIGH ) StepLrUpdaterHook +(LOW ) IterTimerHook +(LOW ) DistEvalHookMultiSteps +(VERY_LOW ) TextLoggerHook + -------------------- +before_train_iter: +(VERY_HIGH ) StepLrUpdaterHook +(49 ) ConstantMomentumEMAHook +(LOW ) IterTimerHook +(LOW ) DistEvalHookMultiSteps + -------------------- +after_train_iter: +(ABOVE_NORMAL) OptimizerHook +(49 ) ConstantMomentumEMAHook +(NORMAL ) CheckpointHook +(LOW ) IterTimerHook +(LOW ) DistEvalHookMultiSteps +(VERY_LOW ) TextLoggerHook + -------------------- +after_train_epoch: +(NORMAL ) CheckpointHook +(LOW ) DistEvalHookMultiSteps +(VERY_LOW ) TextLoggerHook + -------------------- +before_val_epoch: +(LOW ) IterTimerHook +(VERY_LOW ) TextLoggerHook + -------------------- +before_val_iter: +(LOW ) IterTimerHook + -------------------- +after_val_iter: +(LOW ) IterTimerHook + -------------------- +after_val_epoch: +(VERY_LOW ) TextLoggerHook + -------------------- +after_run: +(VERY_LOW ) TextLoggerHook + -------------------- +2023-03-04 01:11:02,698 - mmseg - INFO - workflow: [('train', 1)], max: 160000 iters +2023-03-04 01:11:02,735 - mmseg - INFO - Checkpoints will be saved to /mnt/petrelfs/laizeqiang/mmseg-baseline/work_dirs2/ablation_segformer_mit_b2_segformer_head_unet_fc_small_multi_step_ade_pretrained_freeze_embed_160k_ade20k151_finetune_ema_t50 by HardDiskBackend. +2023-03-04 01:11:27,197 - mmseg - INFO - Swap parameters (before train) before iter [1] +2023-03-04 01:11:43,295 - mmseg - INFO - Iter [50/160000] lr: 7.350e-06, eta: 14:45:06, time: 0.332, data_time: 0.017, memory: 19921, decode.loss_ce: 0.1986, decode.acc_seg: 91.8621, loss: 0.1986 +2023-03-04 01:11:53,125 - mmseg - INFO - Iter [100/160000] lr: 1.485e-05, eta: 11:44:22, time: 0.197, data_time: 0.006, memory: 19921, decode.loss_ce: 0.2050, decode.acc_seg: 91.5646, loss: 0.2050 +2023-03-04 01:12:03,163 - mmseg - INFO - Iter [150/160000] lr: 2.235e-05, eta: 10:47:42, time: 0.201, data_time: 0.007, memory: 19921, decode.loss_ce: 0.2084, decode.acc_seg: 91.5659, loss: 0.2084 +2023-03-04 01:12:12,842 - mmseg - INFO - Iter [200/160000] lr: 2.985e-05, eta: 10:14:30, time: 0.194, data_time: 0.006, memory: 19921, decode.loss_ce: 0.1998, decode.acc_seg: 91.7629, loss: 0.1998 +2023-03-04 01:12:22,559 - mmseg - INFO - Iter [250/160000] lr: 3.735e-05, eta: 9:54:56, time: 0.194, data_time: 0.006, memory: 19921, decode.loss_ce: 0.2052, decode.acc_seg: 91.6551, loss: 0.2052 +2023-03-04 01:12:32,382 - mmseg - INFO - Iter [300/160000] lr: 4.485e-05, eta: 9:42:46, time: 0.196, data_time: 0.006, memory: 19921, decode.loss_ce: 0.2115, decode.acc_seg: 91.3016, loss: 0.2115 +2023-03-04 01:12:41,912 - mmseg - INFO - Iter [350/160000] lr: 5.235e-05, eta: 9:31:48, time: 0.191, data_time: 0.006, memory: 19921, decode.loss_ce: 0.1962, decode.acc_seg: 91.8334, loss: 0.1962 +2023-03-04 01:12:51,427 - mmseg - INFO - Iter [400/160000] lr: 5.985e-05, eta: 9:23:27, time: 0.190, data_time: 0.007, memory: 19921, decode.loss_ce: 0.2062, decode.acc_seg: 91.7820, loss: 0.2062 +2023-03-04 01:13:01,222 - mmseg - INFO - Iter [450/160000] lr: 6.735e-05, eta: 9:18:34, time: 0.196, data_time: 0.007, memory: 19921, decode.loss_ce: 0.2074, decode.acc_seg: 91.4755, loss: 0.2074 +2023-03-04 01:13:10,724 - mmseg - INFO - Iter [500/160000] lr: 7.485e-05, eta: 9:13:04, time: 0.190, data_time: 0.006, memory: 19921, decode.loss_ce: 0.2086, decode.acc_seg: 91.4477, loss: 0.2086 +2023-03-04 01:13:20,166 - mmseg - INFO - Iter [550/160000] lr: 8.235e-05, eta: 9:08:15, time: 0.189, data_time: 0.006, memory: 19921, decode.loss_ce: 0.2131, decode.acc_seg: 91.3083, loss: 0.2131 +2023-03-04 01:13:29,720 - mmseg - INFO - Iter [600/160000] lr: 8.985e-05, eta: 9:04:42, time: 0.191, data_time: 0.007, memory: 19921, decode.loss_ce: 0.2106, decode.acc_seg: 91.4916, loss: 0.2106 +2023-03-04 01:13:41,724 - mmseg - INFO - Iter [650/160000] lr: 9.735e-05, eta: 9:11:42, time: 0.240, data_time: 0.055, memory: 19921, decode.loss_ce: 0.2117, decode.acc_seg: 91.3639, loss: 0.2117 +2023-03-04 01:13:51,346 - mmseg - INFO - Iter [700/160000] lr: 1.049e-04, eta: 9:08:37, time: 0.192, data_time: 0.006, memory: 19921, decode.loss_ce: 0.2110, decode.acc_seg: 91.3979, loss: 0.2110 +2023-03-04 01:14:00,956 - mmseg - INFO - Iter [750/160000] lr: 1.124e-04, eta: 9:05:53, time: 0.192, data_time: 0.006, memory: 19921, decode.loss_ce: 0.2117, decode.acc_seg: 91.3363, loss: 0.2117 +2023-03-04 01:14:10,440 - mmseg - INFO - Iter [800/160000] lr: 1.199e-04, eta: 9:03:04, time: 0.190, data_time: 0.007, memory: 19921, decode.loss_ce: 0.2159, decode.acc_seg: 91.3073, loss: 0.2159 +2023-03-04 01:14:20,465 - mmseg - INFO - Iter [850/160000] lr: 1.274e-04, eta: 9:02:15, time: 0.201, data_time: 0.007, memory: 19921, decode.loss_ce: 0.2115, decode.acc_seg: 91.2936, loss: 0.2115 +2023-03-04 01:14:29,989 - mmseg - INFO - Iter [900/160000] lr: 1.349e-04, eta: 9:00:01, time: 0.190, data_time: 0.007, memory: 19921, decode.loss_ce: 0.2101, decode.acc_seg: 91.4229, loss: 0.2101 +2023-03-04 01:14:39,567 - mmseg - INFO - Iter [950/160000] lr: 1.424e-04, eta: 8:58:09, time: 0.192, data_time: 0.007, memory: 19921, decode.loss_ce: 0.2077, decode.acc_seg: 91.5419, loss: 0.2077 +2023-03-04 01:14:49,037 - mmseg - INFO - Exp name: ablation_segformer_mit_b2_segformer_head_unet_fc_small_multi_step_ade_pretrained_freeze_embed_160k_ade20k151_finetune_ema_t50.py +2023-03-04 01:14:49,037 - mmseg - INFO - Iter [1000/160000] lr: 1.499e-04, eta: 8:56:11, time: 0.189, data_time: 0.007, memory: 19921, decode.loss_ce: 0.2233, decode.acc_seg: 91.0262, loss: 0.2233 +2023-03-04 01:14:58,835 - mmseg - INFO - Iter [1050/160000] lr: 1.500e-04, eta: 8:55:13, time: 0.196, data_time: 0.007, memory: 19921, decode.loss_ce: 0.2110, decode.acc_seg: 91.4255, loss: 0.2110 +2023-03-04 01:15:08,591 - mmseg - INFO - Iter [1100/160000] lr: 1.500e-04, eta: 8:54:11, time: 0.195, data_time: 0.007, memory: 19921, decode.loss_ce: 0.2138, decode.acc_seg: 91.2747, loss: 0.2138 +2023-03-04 01:15:18,663 - mmseg - INFO - Iter [1150/160000] lr: 1.500e-04, eta: 8:54:01, time: 0.202, data_time: 0.007, memory: 19921, decode.loss_ce: 0.2145, decode.acc_seg: 91.0997, loss: 0.2145 +2023-03-04 01:15:28,162 - mmseg - INFO - Iter [1200/160000] lr: 1.500e-04, eta: 8:52:33, time: 0.190, data_time: 0.007, memory: 19921, decode.loss_ce: 0.2166, decode.acc_seg: 91.0383, loss: 0.2166 +2023-03-04 01:15:38,761 - mmseg - INFO - Iter [1250/160000] lr: 1.500e-04, eta: 8:53:31, time: 0.212, data_time: 0.007, memory: 19921, decode.loss_ce: 0.2238, decode.acc_seg: 90.9445, loss: 0.2238 +2023-03-04 01:15:50,807 - mmseg - INFO - Iter [1300/160000] lr: 1.500e-04, eta: 8:57:21, time: 0.241, data_time: 0.055, memory: 19921, decode.loss_ce: 0.2130, decode.acc_seg: 91.2627, loss: 0.2130 +2023-03-04 01:16:00,258 - mmseg - INFO - Iter [1350/160000] lr: 1.500e-04, eta: 8:55:47, time: 0.189, data_time: 0.006, memory: 19921, decode.loss_ce: 0.2161, decode.acc_seg: 91.2922, loss: 0.2161 +2023-03-04 01:16:10,100 - mmseg - INFO - Iter [1400/160000] lr: 1.500e-04, eta: 8:55:04, time: 0.197, data_time: 0.006, memory: 19921, decode.loss_ce: 0.2116, decode.acc_seg: 91.3085, loss: 0.2116 +2023-03-04 01:16:19,739 - mmseg - INFO - Iter [1450/160000] lr: 1.500e-04, eta: 8:54:01, time: 0.193, data_time: 0.007, memory: 19921, decode.loss_ce: 0.2231, decode.acc_seg: 90.9336, loss: 0.2231 +2023-03-04 01:16:29,378 - mmseg - INFO - Iter [1500/160000] lr: 1.500e-04, eta: 8:53:02, time: 0.193, data_time: 0.007, memory: 19921, decode.loss_ce: 0.2160, decode.acc_seg: 91.1791, loss: 0.2160 +2023-03-04 01:16:38,855 - mmseg - INFO - Iter [1550/160000] lr: 1.500e-04, eta: 8:51:50, time: 0.190, data_time: 0.007, memory: 19921, decode.loss_ce: 0.2160, decode.acc_seg: 91.1131, loss: 0.2160 +2023-03-04 01:16:48,316 - mmseg - INFO - Iter [1600/160000] lr: 1.500e-04, eta: 8:50:39, time: 0.189, data_time: 0.007, memory: 19921, decode.loss_ce: 0.2151, decode.acc_seg: 91.3488, loss: 0.2151 +2023-03-04 01:16:57,840 - mmseg - INFO - Iter [1650/160000] lr: 1.500e-04, eta: 8:49:39, time: 0.190, data_time: 0.007, memory: 19921, decode.loss_ce: 0.2195, decode.acc_seg: 91.0790, loss: 0.2195 +2023-03-04 01:17:07,617 - mmseg - INFO - Iter [1700/160000] lr: 1.500e-04, eta: 8:49:03, time: 0.195, data_time: 0.007, memory: 19921, decode.loss_ce: 0.2276, decode.acc_seg: 90.5717, loss: 0.2276 +2023-03-04 01:17:17,184 - mmseg - INFO - Iter [1750/160000] lr: 1.500e-04, eta: 8:48:13, time: 0.192, data_time: 0.007, memory: 19921, decode.loss_ce: 0.2190, decode.acc_seg: 91.1695, loss: 0.2190 +2023-03-04 01:17:26,931 - mmseg - INFO - Iter [1800/160000] lr: 1.500e-04, eta: 8:47:39, time: 0.195, data_time: 0.007, memory: 19921, decode.loss_ce: 0.2159, decode.acc_seg: 91.2040, loss: 0.2159 +2023-03-04 01:17:36,561 - mmseg - INFO - Iter [1850/160000] lr: 1.500e-04, eta: 8:46:57, time: 0.193, data_time: 0.007, memory: 19921, decode.loss_ce: 0.2231, decode.acc_seg: 90.9107, loss: 0.2231 +2023-03-04 01:17:48,512 - mmseg - INFO - Iter [1900/160000] lr: 1.500e-04, eta: 8:49:30, time: 0.239, data_time: 0.055, memory: 19921, decode.loss_ce: 0.2288, decode.acc_seg: 90.5907, loss: 0.2288 +2023-03-04 01:17:58,097 - mmseg - INFO - Iter [1950/160000] lr: 1.500e-04, eta: 8:48:42, time: 0.192, data_time: 0.006, memory: 19921, decode.loss_ce: 0.2132, decode.acc_seg: 91.2456, loss: 0.2132 +2023-03-04 01:18:07,595 - mmseg - INFO - Exp name: ablation_segformer_mit_b2_segformer_head_unet_fc_small_multi_step_ade_pretrained_freeze_embed_160k_ade20k151_finetune_ema_t50.py +2023-03-04 01:18:07,595 - mmseg - INFO - Iter [2000/160000] lr: 1.500e-04, eta: 8:47:50, time: 0.190, data_time: 0.007, memory: 19921, decode.loss_ce: 0.2200, decode.acc_seg: 90.9902, loss: 0.2200 +2023-03-04 01:18:17,012 - mmseg - INFO - Iter [2050/160000] lr: 1.500e-04, eta: 8:46:53, time: 0.188, data_time: 0.007, memory: 19921, decode.loss_ce: 0.2112, decode.acc_seg: 91.2430, loss: 0.2112 +2023-03-04 01:18:26,417 - mmseg - INFO - Iter [2100/160000] lr: 1.500e-04, eta: 8:45:58, time: 0.188, data_time: 0.007, memory: 19921, decode.loss_ce: 0.2118, decode.acc_seg: 91.3027, loss: 0.2118 +2023-03-04 01:18:36,047 - mmseg - INFO - Iter [2150/160000] lr: 1.500e-04, eta: 8:45:20, time: 0.192, data_time: 0.007, memory: 19921, decode.loss_ce: 0.2259, decode.acc_seg: 90.9125, loss: 0.2259 +2023-03-04 01:18:45,576 - mmseg - INFO - Iter [2200/160000] lr: 1.500e-04, eta: 8:44:37, time: 0.191, data_time: 0.007, memory: 19921, decode.loss_ce: 0.2095, decode.acc_seg: 91.4310, loss: 0.2095 +2023-03-04 01:18:55,173 - mmseg - INFO - Iter [2250/160000] lr: 1.500e-04, eta: 8:44:02, time: 0.192, data_time: 0.007, memory: 19921, decode.loss_ce: 0.2286, decode.acc_seg: 90.5535, loss: 0.2286 +2023-03-04 01:19:04,738 - mmseg - INFO - Iter [2300/160000] lr: 1.500e-04, eta: 8:43:24, time: 0.191, data_time: 0.007, memory: 19921, decode.loss_ce: 0.2122, decode.acc_seg: 91.4063, loss: 0.2122 +2023-03-04 01:19:14,419 - mmseg - INFO - Iter [2350/160000] lr: 1.500e-04, eta: 8:42:56, time: 0.194, data_time: 0.007, memory: 19921, decode.loss_ce: 0.2172, decode.acc_seg: 91.0608, loss: 0.2172 +2023-03-04 01:19:24,123 - mmseg - INFO - Iter [2400/160000] lr: 1.500e-04, eta: 8:42:30, time: 0.194, data_time: 0.007, memory: 19921, decode.loss_ce: 0.2199, decode.acc_seg: 90.9126, loss: 0.2199 +2023-03-04 01:19:33,653 - mmseg - INFO - Iter [2450/160000] lr: 1.500e-04, eta: 8:41:53, time: 0.191, data_time: 0.007, memory: 19921, decode.loss_ce: 0.2122, decode.acc_seg: 91.2985, loss: 0.2122 +2023-03-04 01:19:43,169 - mmseg - INFO - Iter [2500/160000] lr: 1.500e-04, eta: 8:41:17, time: 0.190, data_time: 0.007, memory: 19921, decode.loss_ce: 0.2103, decode.acc_seg: 91.4027, loss: 0.2103 +2023-03-04 01:19:55,446 - mmseg - INFO - Iter [2550/160000] lr: 1.500e-04, eta: 8:43:32, time: 0.246, data_time: 0.053, memory: 19921, decode.loss_ce: 0.2192, decode.acc_seg: 91.0416, loss: 0.2192 +2023-03-04 01:20:04,917 - mmseg - INFO - Iter [2600/160000] lr: 1.500e-04, eta: 8:42:51, time: 0.189, data_time: 0.007, memory: 19921, decode.loss_ce: 0.2280, decode.acc_seg: 90.7347, loss: 0.2280 +2023-03-04 01:20:14,416 - mmseg - INFO - Iter [2650/160000] lr: 1.500e-04, eta: 8:42:13, time: 0.190, data_time: 0.007, memory: 19921, decode.loss_ce: 0.2205, decode.acc_seg: 90.9751, loss: 0.2205 +2023-03-04 01:20:24,072 - mmseg - INFO - Iter [2700/160000] lr: 1.500e-04, eta: 8:41:46, time: 0.193, data_time: 0.007, memory: 19921, decode.loss_ce: 0.2230, decode.acc_seg: 90.8245, loss: 0.2230 +2023-03-04 01:20:33,583 - mmseg - INFO - Iter [2750/160000] lr: 1.500e-04, eta: 8:41:11, time: 0.190, data_time: 0.007, memory: 19921, decode.loss_ce: 0.2299, decode.acc_seg: 90.8360, loss: 0.2299 +2023-03-04 01:20:43,163 - mmseg - INFO - Iter [2800/160000] lr: 1.500e-04, eta: 8:40:40, time: 0.192, data_time: 0.007, memory: 19921, decode.loss_ce: 0.2175, decode.acc_seg: 91.1056, loss: 0.2175 +2023-03-04 01:20:52,614 - mmseg - INFO - Iter [2850/160000] lr: 1.500e-04, eta: 8:40:04, time: 0.189, data_time: 0.007, memory: 19921, decode.loss_ce: 0.2142, decode.acc_seg: 91.1986, loss: 0.2142 +2023-03-04 01:21:02,308 - mmseg - INFO - Iter [2900/160000] lr: 1.500e-04, eta: 8:39:41, time: 0.194, data_time: 0.007, memory: 19921, decode.loss_ce: 0.2266, decode.acc_seg: 90.7917, loss: 0.2266 +2023-03-04 01:21:11,759 - mmseg - INFO - Iter [2950/160000] lr: 1.500e-04, eta: 8:39:06, time: 0.189, data_time: 0.007, memory: 19921, decode.loss_ce: 0.2206, decode.acc_seg: 91.0889, loss: 0.2206 +2023-03-04 01:21:21,422 - mmseg - INFO - Exp name: ablation_segformer_mit_b2_segformer_head_unet_fc_small_multi_step_ade_pretrained_freeze_embed_160k_ade20k151_finetune_ema_t50.py +2023-03-04 01:21:21,422 - mmseg - INFO - Iter [3000/160000] lr: 1.500e-04, eta: 8:38:43, time: 0.193, data_time: 0.007, memory: 19921, decode.loss_ce: 0.2126, decode.acc_seg: 91.2295, loss: 0.2126 +2023-03-04 01:21:30,967 - mmseg - INFO - Iter [3050/160000] lr: 1.500e-04, eta: 8:38:14, time: 0.191, data_time: 0.007, memory: 19921, decode.loss_ce: 0.2150, decode.acc_seg: 91.3950, loss: 0.2150 +2023-03-04 01:21:40,627 - mmseg - INFO - Iter [3100/160000] lr: 1.500e-04, eta: 8:37:52, time: 0.193, data_time: 0.007, memory: 19921, decode.loss_ce: 0.2236, decode.acc_seg: 90.8933, loss: 0.2236 +2023-03-04 01:21:50,034 - mmseg - INFO - Iter [3150/160000] lr: 1.500e-04, eta: 8:37:17, time: 0.188, data_time: 0.007, memory: 19921, decode.loss_ce: 0.2187, decode.acc_seg: 91.1478, loss: 0.2187 +2023-03-04 01:22:02,302 - mmseg - INFO - Iter [3200/160000] lr: 1.500e-04, eta: 8:39:03, time: 0.245, data_time: 0.056, memory: 19921, decode.loss_ce: 0.2125, decode.acc_seg: 91.3754, loss: 0.2125 +2023-03-04 01:22:11,781 - mmseg - INFO - Iter [3250/160000] lr: 1.500e-04, eta: 8:38:32, time: 0.190, data_time: 0.007, memory: 19921, decode.loss_ce: 0.2177, decode.acc_seg: 91.0417, loss: 0.2177 +2023-03-04 01:22:21,416 - mmseg - INFO - Iter [3300/160000] lr: 1.500e-04, eta: 8:38:08, time: 0.193, data_time: 0.007, memory: 19921, decode.loss_ce: 0.2224, decode.acc_seg: 90.8645, loss: 0.2224 +2023-03-04 01:22:31,040 - mmseg - INFO - Iter [3350/160000] lr: 1.500e-04, eta: 8:37:44, time: 0.192, data_time: 0.007, memory: 19921, decode.loss_ce: 0.2158, decode.acc_seg: 91.2024, loss: 0.2158 +2023-03-04 01:22:40,526 - mmseg - INFO - Iter [3400/160000] lr: 1.500e-04, eta: 8:37:15, time: 0.190, data_time: 0.007, memory: 19921, decode.loss_ce: 0.2079, decode.acc_seg: 91.3997, loss: 0.2079 +2023-03-04 01:22:50,184 - mmseg - INFO - Iter [3450/160000] lr: 1.500e-04, eta: 8:36:53, time: 0.193, data_time: 0.007, memory: 19921, decode.loss_ce: 0.2088, decode.acc_seg: 91.5619, loss: 0.2088 +2023-03-04 01:22:59,975 - mmseg - INFO - Iter [3500/160000] lr: 1.500e-04, eta: 8:36:38, time: 0.196, data_time: 0.007, memory: 19921, decode.loss_ce: 0.2152, decode.acc_seg: 91.1534, loss: 0.2152 +2023-03-04 01:23:09,397 - mmseg - INFO - Iter [3550/160000] lr: 1.500e-04, eta: 8:36:07, time: 0.188, data_time: 0.007, memory: 19921, decode.loss_ce: 0.2081, decode.acc_seg: 91.4554, loss: 0.2081 +2023-03-04 01:23:18,901 - mmseg - INFO - Iter [3600/160000] lr: 1.500e-04, eta: 8:35:40, time: 0.190, data_time: 0.007, memory: 19921, decode.loss_ce: 0.2197, decode.acc_seg: 91.0983, loss: 0.2197 +2023-03-04 01:23:28,336 - mmseg - INFO - Iter [3650/160000] lr: 1.500e-04, eta: 8:35:11, time: 0.189, data_time: 0.007, memory: 19921, decode.loss_ce: 0.2132, decode.acc_seg: 91.2570, loss: 0.2132 +2023-03-04 01:23:38,127 - mmseg - INFO - Iter [3700/160000] lr: 1.500e-04, eta: 8:34:57, time: 0.196, data_time: 0.007, memory: 19921, decode.loss_ce: 0.2103, decode.acc_seg: 91.2839, loss: 0.2103 +2023-03-04 01:23:47,794 - mmseg - INFO - Iter [3750/160000] lr: 1.500e-04, eta: 8:34:38, time: 0.193, data_time: 0.007, memory: 19921, decode.loss_ce: 0.2142, decode.acc_seg: 91.2692, loss: 0.2142 +2023-03-04 01:23:59,954 - mmseg - INFO - Iter [3800/160000] lr: 1.500e-04, eta: 8:36:02, time: 0.243, data_time: 0.056, memory: 19921, decode.loss_ce: 0.2128, decode.acc_seg: 91.2044, loss: 0.2128 +2023-03-04 01:24:09,716 - mmseg - INFO - Iter [3850/160000] lr: 1.500e-04, eta: 8:35:46, time: 0.195, data_time: 0.007, memory: 19921, decode.loss_ce: 0.2340, decode.acc_seg: 90.6824, loss: 0.2340 +2023-03-04 01:24:19,220 - mmseg - INFO - Iter [3900/160000] lr: 1.500e-04, eta: 8:35:19, time: 0.190, data_time: 0.007, memory: 19921, decode.loss_ce: 0.2103, decode.acc_seg: 91.3861, loss: 0.2103 +2023-03-04 01:24:28,749 - mmseg - INFO - Iter [3950/160000] lr: 1.500e-04, eta: 8:34:55, time: 0.191, data_time: 0.007, memory: 19921, decode.loss_ce: 0.2288, decode.acc_seg: 90.7164, loss: 0.2288 +2023-03-04 01:24:38,451 - mmseg - INFO - Exp name: ablation_segformer_mit_b2_segformer_head_unet_fc_small_multi_step_ade_pretrained_freeze_embed_160k_ade20k151_finetune_ema_t50.py +2023-03-04 01:24:38,452 - mmseg - INFO - Iter [4000/160000] lr: 1.500e-04, eta: 8:34:37, time: 0.194, data_time: 0.007, memory: 19921, decode.loss_ce: 0.2281, decode.acc_seg: 90.8836, loss: 0.2281 +2023-03-04 01:24:48,070 - mmseg - INFO - Iter [4050/160000] lr: 1.500e-04, eta: 8:34:17, time: 0.192, data_time: 0.007, memory: 19921, decode.loss_ce: 0.2122, decode.acc_seg: 91.2664, loss: 0.2122 +2023-03-04 01:24:57,507 - mmseg - INFO - Iter [4100/160000] lr: 1.500e-04, eta: 8:33:49, time: 0.189, data_time: 0.007, memory: 19921, decode.loss_ce: 0.2151, decode.acc_seg: 91.0653, loss: 0.2151 +2023-03-04 01:25:07,413 - mmseg - INFO - Iter [4150/160000] lr: 1.500e-04, eta: 8:33:40, time: 0.198, data_time: 0.007, memory: 19921, decode.loss_ce: 0.2210, decode.acc_seg: 91.0550, loss: 0.2210 +2023-03-04 01:25:17,024 - mmseg - INFO - Iter [4200/160000] lr: 1.500e-04, eta: 8:33:20, time: 0.192, data_time: 0.007, memory: 19921, decode.loss_ce: 0.2142, decode.acc_seg: 91.4936, loss: 0.2142 +2023-03-04 01:25:26,593 - mmseg - INFO - Iter [4250/160000] lr: 1.500e-04, eta: 8:32:58, time: 0.191, data_time: 0.007, memory: 19921, decode.loss_ce: 0.2191, decode.acc_seg: 91.1766, loss: 0.2191 +2023-03-04 01:25:36,079 - mmseg - INFO - Iter [4300/160000] lr: 1.500e-04, eta: 8:32:34, time: 0.190, data_time: 0.007, memory: 19921, decode.loss_ce: 0.2163, decode.acc_seg: 91.1987, loss: 0.2163 +2023-03-04 01:25:45,654 - mmseg - INFO - Iter [4350/160000] lr: 1.500e-04, eta: 8:32:14, time: 0.191, data_time: 0.007, memory: 19921, decode.loss_ce: 0.2237, decode.acc_seg: 91.0286, loss: 0.2237 +2023-03-04 01:25:55,082 - mmseg - INFO - Iter [4400/160000] lr: 1.500e-04, eta: 8:31:48, time: 0.189, data_time: 0.007, memory: 19921, decode.loss_ce: 0.2201, decode.acc_seg: 91.1592, loss: 0.2201 +2023-03-04 01:26:07,131 - mmseg - INFO - Iter [4450/160000] lr: 1.500e-04, eta: 8:32:54, time: 0.241, data_time: 0.057, memory: 19921, decode.loss_ce: 0.2145, decode.acc_seg: 91.1576, loss: 0.2145 +2023-03-04 01:26:16,697 - mmseg - INFO - Iter [4500/160000] lr: 1.500e-04, eta: 8:32:33, time: 0.191, data_time: 0.007, memory: 19921, decode.loss_ce: 0.2070, decode.acc_seg: 91.3940, loss: 0.2070 +2023-03-04 01:26:26,346 - mmseg - INFO - Iter [4550/160000] lr: 1.500e-04, eta: 8:32:15, time: 0.193, data_time: 0.007, memory: 19921, decode.loss_ce: 0.2237, decode.acc_seg: 90.8329, loss: 0.2237 +2023-03-04 01:26:36,384 - mmseg - INFO - Iter [4600/160000] lr: 1.500e-04, eta: 8:32:10, time: 0.201, data_time: 0.007, memory: 19921, decode.loss_ce: 0.2216, decode.acc_seg: 91.0199, loss: 0.2216 +2023-03-04 01:26:45,934 - mmseg - INFO - Iter [4650/160000] lr: 1.500e-04, eta: 8:31:49, time: 0.191, data_time: 0.007, memory: 19921, decode.loss_ce: 0.2193, decode.acc_seg: 91.2005, loss: 0.2193 +2023-03-04 01:26:55,452 - mmseg - INFO - Iter [4700/160000] lr: 1.500e-04, eta: 8:31:27, time: 0.190, data_time: 0.007, memory: 19921, decode.loss_ce: 0.2166, decode.acc_seg: 91.1740, loss: 0.2166 +2023-03-04 01:27:05,432 - mmseg - INFO - Iter [4750/160000] lr: 1.500e-04, eta: 8:31:21, time: 0.200, data_time: 0.007, memory: 19921, decode.loss_ce: 0.2164, decode.acc_seg: 91.1371, loss: 0.2164 +2023-03-04 01:27:15,045 - mmseg - INFO - Iter [4800/160000] lr: 1.500e-04, eta: 8:31:02, time: 0.192, data_time: 0.007, memory: 19921, decode.loss_ce: 0.2286, decode.acc_seg: 90.9046, loss: 0.2286 +2023-03-04 01:27:24,706 - mmseg - INFO - Iter [4850/160000] lr: 1.500e-04, eta: 8:30:45, time: 0.193, data_time: 0.007, memory: 19921, decode.loss_ce: 0.2080, decode.acc_seg: 91.5100, loss: 0.2080 +2023-03-04 01:27:34,236 - mmseg - INFO - Iter [4900/160000] lr: 1.500e-04, eta: 8:30:24, time: 0.191, data_time: 0.007, memory: 19921, decode.loss_ce: 0.2142, decode.acc_seg: 91.4296, loss: 0.2142 +2023-03-04 01:27:43,931 - mmseg - INFO - Iter [4950/160000] lr: 1.500e-04, eta: 8:30:09, time: 0.194, data_time: 0.007, memory: 19921, decode.loss_ce: 0.2074, decode.acc_seg: 91.4251, loss: 0.2074 +2023-03-04 01:27:53,473 - mmseg - INFO - Exp name: ablation_segformer_mit_b2_segformer_head_unet_fc_small_multi_step_ade_pretrained_freeze_embed_160k_ade20k151_finetune_ema_t50.py +2023-03-04 01:27:53,473 - mmseg - INFO - Iter [5000/160000] lr: 1.500e-04, eta: 8:29:49, time: 0.191, data_time: 0.007, memory: 19921, decode.loss_ce: 0.2187, decode.acc_seg: 91.2433, loss: 0.2187 +2023-03-04 01:28:05,484 - mmseg - INFO - Iter [5050/160000] lr: 1.500e-04, eta: 8:30:45, time: 0.240, data_time: 0.053, memory: 19921, decode.loss_ce: 0.2251, decode.acc_seg: 90.8734, loss: 0.2251 +2023-03-04 01:28:14,995 - mmseg - INFO - Iter [5100/160000] lr: 1.500e-04, eta: 8:30:23, time: 0.190, data_time: 0.007, memory: 19921, decode.loss_ce: 0.2147, decode.acc_seg: 91.0678, loss: 0.2147 +2023-03-04 01:28:24,618 - mmseg - INFO - Iter [5150/160000] lr: 1.500e-04, eta: 8:30:06, time: 0.192, data_time: 0.007, memory: 19921, decode.loss_ce: 0.2260, decode.acc_seg: 90.8926, loss: 0.2260 +2023-03-04 01:28:34,056 - mmseg - INFO - Iter [5200/160000] lr: 1.500e-04, eta: 8:29:42, time: 0.189, data_time: 0.007, memory: 19921, decode.loss_ce: 0.2188, decode.acc_seg: 91.2338, loss: 0.2188 +2023-03-04 01:28:43,717 - mmseg - INFO - Iter [5250/160000] lr: 1.500e-04, eta: 8:29:26, time: 0.193, data_time: 0.007, memory: 19921, decode.loss_ce: 0.2151, decode.acc_seg: 91.3393, loss: 0.2151 +2023-03-04 01:28:53,383 - mmseg - INFO - Iter [5300/160000] lr: 1.500e-04, eta: 8:29:10, time: 0.193, data_time: 0.007, memory: 19921, decode.loss_ce: 0.2227, decode.acc_seg: 90.9649, loss: 0.2227 +2023-03-04 01:29:02,968 - mmseg - INFO - Iter [5350/160000] lr: 1.500e-04, eta: 8:28:52, time: 0.192, data_time: 0.007, memory: 19921, decode.loss_ce: 0.2015, decode.acc_seg: 91.6712, loss: 0.2015 +2023-03-04 01:29:12,748 - mmseg - INFO - Iter [5400/160000] lr: 1.500e-04, eta: 8:28:39, time: 0.196, data_time: 0.007, memory: 19921, decode.loss_ce: 0.2214, decode.acc_seg: 90.9789, loss: 0.2214 +2023-03-04 01:29:22,279 - mmseg - INFO - Iter [5450/160000] lr: 1.500e-04, eta: 8:28:20, time: 0.191, data_time: 0.007, memory: 19921, decode.loss_ce: 0.2179, decode.acc_seg: 91.0750, loss: 0.2179 +2023-03-04 01:29:32,154 - mmseg - INFO - Iter [5500/160000] lr: 1.500e-04, eta: 8:28:10, time: 0.197, data_time: 0.007, memory: 19921, decode.loss_ce: 0.2116, decode.acc_seg: 91.3403, loss: 0.2116 +2023-03-04 01:29:41,672 - mmseg - INFO - Iter [5550/160000] lr: 1.500e-04, eta: 8:27:51, time: 0.190, data_time: 0.007, memory: 19921, decode.loss_ce: 0.2199, decode.acc_seg: 91.0246, loss: 0.2199 +2023-03-04 01:29:51,148 - mmseg - INFO - Iter [5600/160000] lr: 1.500e-04, eta: 8:27:30, time: 0.190, data_time: 0.007, memory: 19921, decode.loss_ce: 0.2207, decode.acc_seg: 91.0273, loss: 0.2207 +2023-03-04 01:30:00,593 - mmseg - INFO - Iter [5650/160000] lr: 1.500e-04, eta: 8:27:09, time: 0.189, data_time: 0.007, memory: 19921, decode.loss_ce: 0.2172, decode.acc_seg: 91.2083, loss: 0.2172 +2023-03-04 01:30:12,554 - mmseg - INFO - Iter [5700/160000] lr: 1.500e-04, eta: 8:27:56, time: 0.239, data_time: 0.054, memory: 19921, decode.loss_ce: 0.2164, decode.acc_seg: 91.1323, loss: 0.2164 +2023-03-04 01:30:22,093 - mmseg - INFO - Iter [5750/160000] lr: 1.500e-04, eta: 8:27:37, time: 0.191, data_time: 0.007, memory: 19921, decode.loss_ce: 0.2099, decode.acc_seg: 91.2474, loss: 0.2099 +2023-03-04 01:30:32,421 - mmseg - INFO - Iter [5800/160000] lr: 1.500e-04, eta: 8:27:39, time: 0.207, data_time: 0.006, memory: 19921, decode.loss_ce: 0.2260, decode.acc_seg: 90.8143, loss: 0.2260 +2023-03-04 01:30:42,006 - mmseg - INFO - Iter [5850/160000] lr: 1.500e-04, eta: 8:27:22, time: 0.192, data_time: 0.007, memory: 19921, decode.loss_ce: 0.2071, decode.acc_seg: 91.4739, loss: 0.2071 +2023-03-04 01:30:51,994 - mmseg - INFO - Iter [5900/160000] lr: 1.500e-04, eta: 8:27:15, time: 0.200, data_time: 0.007, memory: 19921, decode.loss_ce: 0.2259, decode.acc_seg: 90.7604, loss: 0.2259 +2023-03-04 01:31:01,666 - mmseg - INFO - Iter [5950/160000] lr: 1.500e-04, eta: 8:27:00, time: 0.193, data_time: 0.007, memory: 19921, decode.loss_ce: 0.2163, decode.acc_seg: 91.2215, loss: 0.2163 +2023-03-04 01:31:11,146 - mmseg - INFO - Exp name: ablation_segformer_mit_b2_segformer_head_unet_fc_small_multi_step_ade_pretrained_freeze_embed_160k_ade20k151_finetune_ema_t50.py +2023-03-04 01:31:11,147 - mmseg - INFO - Iter [6000/160000] lr: 1.500e-04, eta: 8:26:40, time: 0.190, data_time: 0.007, memory: 19921, decode.loss_ce: 0.2179, decode.acc_seg: 91.0180, loss: 0.2179 +2023-03-04 01:31:20,796 - mmseg - INFO - Iter [6050/160000] lr: 1.500e-04, eta: 8:26:24, time: 0.193, data_time: 0.007, memory: 19921, decode.loss_ce: 0.2070, decode.acc_seg: 91.6142, loss: 0.2070 +2023-03-04 01:31:30,504 - mmseg - INFO - Iter [6100/160000] lr: 1.500e-04, eta: 8:26:10, time: 0.194, data_time: 0.006, memory: 19921, decode.loss_ce: 0.2168, decode.acc_seg: 91.2245, loss: 0.2168 +2023-03-04 01:31:40,125 - mmseg - INFO - Iter [6150/160000] lr: 1.500e-04, eta: 8:25:54, time: 0.192, data_time: 0.007, memory: 19921, decode.loss_ce: 0.2154, decode.acc_seg: 91.1786, loss: 0.2154 +2023-03-04 01:31:49,724 - mmseg - INFO - Iter [6200/160000] lr: 1.500e-04, eta: 8:25:38, time: 0.192, data_time: 0.007, memory: 19921, decode.loss_ce: 0.2076, decode.acc_seg: 91.5585, loss: 0.2076 +2023-03-04 01:31:59,306 - mmseg - INFO - Iter [6250/160000] lr: 1.500e-04, eta: 8:25:21, time: 0.192, data_time: 0.007, memory: 19921, decode.loss_ce: 0.2197, decode.acc_seg: 91.0617, loss: 0.2197 +2023-03-04 01:32:08,912 - mmseg - INFO - Iter [6300/160000] lr: 1.500e-04, eta: 8:25:05, time: 0.192, data_time: 0.007, memory: 19921, decode.loss_ce: 0.2215, decode.acc_seg: 90.8809, loss: 0.2215 +2023-03-04 01:32:21,098 - mmseg - INFO - Iter [6350/160000] lr: 1.500e-04, eta: 8:25:51, time: 0.244, data_time: 0.055, memory: 19921, decode.loss_ce: 0.2202, decode.acc_seg: 90.9455, loss: 0.2202 +2023-03-04 01:32:30,522 - mmseg - INFO - Iter [6400/160000] lr: 1.500e-04, eta: 8:25:30, time: 0.188, data_time: 0.007, memory: 19921, decode.loss_ce: 0.2079, decode.acc_seg: 91.4281, loss: 0.2079 +2023-03-04 01:32:40,001 - mmseg - INFO - Iter [6450/160000] lr: 1.500e-04, eta: 8:25:11, time: 0.190, data_time: 0.007, memory: 19921, decode.loss_ce: 0.2219, decode.acc_seg: 90.9913, loss: 0.2219 +2023-03-04 01:32:49,532 - mmseg - INFO - Iter [6500/160000] lr: 1.500e-04, eta: 8:24:53, time: 0.191, data_time: 0.007, memory: 19921, decode.loss_ce: 0.2008, decode.acc_seg: 91.8681, loss: 0.2008 +2023-03-04 01:32:59,081 - mmseg - INFO - Iter [6550/160000] lr: 1.500e-04, eta: 8:24:36, time: 0.191, data_time: 0.007, memory: 19921, decode.loss_ce: 0.2102, decode.acc_seg: 91.3828, loss: 0.2102 +2023-03-04 01:33:08,580 - mmseg - INFO - Iter [6600/160000] lr: 1.500e-04, eta: 8:24:18, time: 0.190, data_time: 0.007, memory: 19921, decode.loss_ce: 0.2140, decode.acc_seg: 91.1282, loss: 0.2140 +2023-03-04 01:33:18,053 - mmseg - INFO - Iter [6650/160000] lr: 1.500e-04, eta: 8:23:59, time: 0.189, data_time: 0.007, memory: 19921, decode.loss_ce: 0.2106, decode.acc_seg: 91.3276, loss: 0.2106 +2023-03-04 01:33:27,739 - mmseg - INFO - Iter [6700/160000] lr: 1.500e-04, eta: 8:23:45, time: 0.194, data_time: 0.007, memory: 19921, decode.loss_ce: 0.2200, decode.acc_seg: 90.9257, loss: 0.2200 +2023-03-04 01:33:37,417 - mmseg - INFO - Iter [6750/160000] lr: 1.500e-04, eta: 8:23:31, time: 0.194, data_time: 0.007, memory: 19921, decode.loss_ce: 0.2252, decode.acc_seg: 90.7842, loss: 0.2252 +2023-03-04 01:33:46,960 - mmseg - INFO - Iter [6800/160000] lr: 1.500e-04, eta: 8:23:14, time: 0.191, data_time: 0.007, memory: 19921, decode.loss_ce: 0.2197, decode.acc_seg: 90.9833, loss: 0.2197 +2023-03-04 01:33:56,464 - mmseg - INFO - Iter [6850/160000] lr: 1.500e-04, eta: 8:22:56, time: 0.190, data_time: 0.007, memory: 19921, decode.loss_ce: 0.2096, decode.acc_seg: 91.4438, loss: 0.2096 +2023-03-04 01:34:06,053 - mmseg - INFO - Iter [6900/160000] lr: 1.500e-04, eta: 8:22:41, time: 0.192, data_time: 0.007, memory: 19921, decode.loss_ce: 0.2190, decode.acc_seg: 91.0004, loss: 0.2190 +2023-03-04 01:34:18,286 - mmseg - INFO - Iter [6950/160000] lr: 1.500e-04, eta: 8:23:23, time: 0.245, data_time: 0.053, memory: 19921, decode.loss_ce: 0.2148, decode.acc_seg: 91.2624, loss: 0.2148 +2023-03-04 01:34:27,848 - mmseg - INFO - Exp name: ablation_segformer_mit_b2_segformer_head_unet_fc_small_multi_step_ade_pretrained_freeze_embed_160k_ade20k151_finetune_ema_t50.py +2023-03-04 01:34:27,849 - mmseg - INFO - Iter [7000/160000] lr: 1.500e-04, eta: 8:23:07, time: 0.191, data_time: 0.006, memory: 19921, decode.loss_ce: 0.2114, decode.acc_seg: 91.2633, loss: 0.2114 +2023-03-04 01:34:37,362 - mmseg - INFO - Iter [7050/160000] lr: 1.500e-04, eta: 8:22:49, time: 0.190, data_time: 0.007, memory: 19921, decode.loss_ce: 0.2084, decode.acc_seg: 91.3667, loss: 0.2084 +2023-03-04 01:34:46,938 - mmseg - INFO - Iter [7100/160000] lr: 1.500e-04, eta: 8:22:33, time: 0.191, data_time: 0.007, memory: 19921, decode.loss_ce: 0.2146, decode.acc_seg: 91.3147, loss: 0.2146 +2023-03-04 01:34:56,941 - mmseg - INFO - Iter [7150/160000] lr: 1.500e-04, eta: 8:22:26, time: 0.200, data_time: 0.007, memory: 19921, decode.loss_ce: 0.2136, decode.acc_seg: 91.2806, loss: 0.2136 +2023-03-04 01:35:06,770 - mmseg - INFO - Iter [7200/160000] lr: 1.500e-04, eta: 8:22:16, time: 0.197, data_time: 0.007, memory: 19921, decode.loss_ce: 0.2102, decode.acc_seg: 91.3974, loss: 0.2102 +2023-03-04 01:35:16,429 - mmseg - INFO - Iter [7250/160000] lr: 1.500e-04, eta: 8:22:02, time: 0.193, data_time: 0.007, memory: 19921, decode.loss_ce: 0.2291, decode.acc_seg: 90.6485, loss: 0.2291 +2023-03-04 01:35:25,940 - mmseg - INFO - Iter [7300/160000] lr: 1.500e-04, eta: 8:21:44, time: 0.190, data_time: 0.007, memory: 19921, decode.loss_ce: 0.2259, decode.acc_seg: 90.8187, loss: 0.2259 +2023-03-04 01:35:35,446 - mmseg - INFO - Iter [7350/160000] lr: 1.500e-04, eta: 8:21:27, time: 0.190, data_time: 0.007, memory: 19921, decode.loss_ce: 0.2082, decode.acc_seg: 91.6126, loss: 0.2082 +2023-03-04 01:35:44,901 - mmseg - INFO - Iter [7400/160000] lr: 1.500e-04, eta: 8:21:09, time: 0.189, data_time: 0.007, memory: 19921, decode.loss_ce: 0.2082, decode.acc_seg: 91.5111, loss: 0.2082 +2023-03-04 01:35:54,363 - mmseg - INFO - Iter [7450/160000] lr: 1.500e-04, eta: 8:20:51, time: 0.189, data_time: 0.007, memory: 19921, decode.loss_ce: 0.2228, decode.acc_seg: 91.0402, loss: 0.2228 +2023-03-04 01:36:03,942 - mmseg - INFO - Iter [7500/160000] lr: 1.500e-04, eta: 8:20:36, time: 0.192, data_time: 0.007, memory: 19921, decode.loss_ce: 0.2358, decode.acc_seg: 90.6319, loss: 0.2358 +2023-03-04 01:36:13,940 - mmseg - INFO - Iter [7550/160000] lr: 1.500e-04, eta: 8:20:29, time: 0.200, data_time: 0.007, memory: 19921, decode.loss_ce: 0.2125, decode.acc_seg: 91.4191, loss: 0.2125 +2023-03-04 01:36:26,145 - mmseg - INFO - Iter [7600/160000] lr: 1.500e-04, eta: 8:21:07, time: 0.244, data_time: 0.056, memory: 19921, decode.loss_ce: 0.2168, decode.acc_seg: 91.0773, loss: 0.2168 +2023-03-04 01:36:35,847 - mmseg - INFO - Iter [7650/160000] lr: 1.500e-04, eta: 8:20:53, time: 0.194, data_time: 0.007, memory: 19921, decode.loss_ce: 0.2060, decode.acc_seg: 91.4107, loss: 0.2060 +2023-03-04 01:36:45,513 - mmseg - INFO - Iter [7700/160000] lr: 1.500e-04, eta: 8:20:40, time: 0.193, data_time: 0.007, memory: 19921, decode.loss_ce: 0.2165, decode.acc_seg: 91.2806, loss: 0.2165 +2023-03-04 01:36:55,354 - mmseg - INFO - Iter [7750/160000] lr: 1.500e-04, eta: 8:20:29, time: 0.197, data_time: 0.007, memory: 19921, decode.loss_ce: 0.2171, decode.acc_seg: 91.1684, loss: 0.2171 +2023-03-04 01:37:05,036 - mmseg - INFO - Iter [7800/160000] lr: 1.500e-04, eta: 8:20:16, time: 0.194, data_time: 0.007, memory: 19921, decode.loss_ce: 0.2096, decode.acc_seg: 91.2925, loss: 0.2096 +2023-03-04 01:37:14,567 - mmseg - INFO - Iter [7850/160000] lr: 1.500e-04, eta: 8:20:00, time: 0.191, data_time: 0.007, memory: 19921, decode.loss_ce: 0.2145, decode.acc_seg: 91.2092, loss: 0.2145 +2023-03-04 01:37:24,065 - mmseg - INFO - Iter [7900/160000] lr: 1.500e-04, eta: 8:19:43, time: 0.190, data_time: 0.007, memory: 19921, decode.loss_ce: 0.2063, decode.acc_seg: 91.5802, loss: 0.2063 +2023-03-04 01:37:33,516 - mmseg - INFO - Iter [7950/160000] lr: 1.500e-04, eta: 8:19:25, time: 0.189, data_time: 0.007, memory: 19921, decode.loss_ce: 0.2260, decode.acc_seg: 90.9114, loss: 0.2260 +2023-03-04 01:37:42,999 - mmseg - INFO - Exp name: ablation_segformer_mit_b2_segformer_head_unet_fc_small_multi_step_ade_pretrained_freeze_embed_160k_ade20k151_finetune_ema_t50.py +2023-03-04 01:37:42,999 - mmseg - INFO - Iter [8000/160000] lr: 1.500e-04, eta: 8:19:08, time: 0.190, data_time: 0.007, memory: 19921, decode.loss_ce: 0.2162, decode.acc_seg: 91.3718, loss: 0.2162 +2023-03-04 01:37:52,506 - mmseg - INFO - Iter [8050/160000] lr: 1.500e-04, eta: 8:18:52, time: 0.190, data_time: 0.007, memory: 19921, decode.loss_ce: 0.2128, decode.acc_seg: 91.3998, loss: 0.2128 +2023-03-04 01:38:02,201 - mmseg - INFO - Iter [8100/160000] lr: 1.500e-04, eta: 8:18:39, time: 0.194, data_time: 0.007, memory: 19921, decode.loss_ce: 0.2168, decode.acc_seg: 91.1078, loss: 0.2168 +2023-03-04 01:38:12,066 - mmseg - INFO - Iter [8150/160000] lr: 1.500e-04, eta: 8:18:30, time: 0.198, data_time: 0.007, memory: 19921, decode.loss_ce: 0.2210, decode.acc_seg: 91.1193, loss: 0.2210 +2023-03-04 01:38:21,627 - mmseg - INFO - Iter [8200/160000] lr: 1.500e-04, eta: 8:18:15, time: 0.191, data_time: 0.007, memory: 19921, decode.loss_ce: 0.2138, decode.acc_seg: 91.2781, loss: 0.2138 +2023-03-04 01:38:33,761 - mmseg - INFO - Iter [8250/160000] lr: 1.500e-04, eta: 8:18:47, time: 0.243, data_time: 0.056, memory: 19921, decode.loss_ce: 0.2130, decode.acc_seg: 91.3344, loss: 0.2130 +2023-03-04 01:38:43,454 - mmseg - INFO - Iter [8300/160000] lr: 1.500e-04, eta: 8:18:34, time: 0.194, data_time: 0.007, memory: 19921, decode.loss_ce: 0.2122, decode.acc_seg: 91.2392, loss: 0.2122 +2023-03-04 01:38:52,974 - mmseg - INFO - Iter [8350/160000] lr: 1.500e-04, eta: 8:18:18, time: 0.190, data_time: 0.007, memory: 19921, decode.loss_ce: 0.2139, decode.acc_seg: 91.2770, loss: 0.2139 +2023-03-04 01:39:02,558 - mmseg - INFO - Iter [8400/160000] lr: 1.500e-04, eta: 8:18:03, time: 0.192, data_time: 0.007, memory: 19921, decode.loss_ce: 0.2144, decode.acc_seg: 91.2839, loss: 0.2144 +2023-03-04 01:39:12,266 - mmseg - INFO - Iter [8450/160000] lr: 1.500e-04, eta: 8:17:50, time: 0.194, data_time: 0.007, memory: 19921, decode.loss_ce: 0.2193, decode.acc_seg: 91.0994, loss: 0.2193 +2023-03-04 01:39:21,705 - mmseg - INFO - Iter [8500/160000] lr: 1.500e-04, eta: 8:17:33, time: 0.189, data_time: 0.007, memory: 19921, decode.loss_ce: 0.2189, decode.acc_seg: 91.1140, loss: 0.2189 +2023-03-04 01:39:31,159 - mmseg - INFO - Iter [8550/160000] lr: 1.500e-04, eta: 8:17:16, time: 0.189, data_time: 0.007, memory: 19921, decode.loss_ce: 0.2085, decode.acc_seg: 91.4268, loss: 0.2085 +2023-03-04 01:39:40,758 - mmseg - INFO - Iter [8600/160000] lr: 1.500e-04, eta: 8:17:02, time: 0.192, data_time: 0.007, memory: 19921, decode.loss_ce: 0.2084, decode.acc_seg: 91.3966, loss: 0.2084 +2023-03-04 01:39:50,432 - mmseg - INFO - Iter [8650/160000] lr: 1.500e-04, eta: 8:16:49, time: 0.193, data_time: 0.007, memory: 19921, decode.loss_ce: 0.2105, decode.acc_seg: 91.4046, loss: 0.2105 +2023-03-04 01:40:00,217 - mmseg - INFO - Iter [8700/160000] lr: 1.500e-04, eta: 8:16:38, time: 0.196, data_time: 0.007, memory: 19921, decode.loss_ce: 0.2148, decode.acc_seg: 91.1818, loss: 0.2148 +2023-03-04 01:40:09,920 - mmseg - INFO - Iter [8750/160000] lr: 1.500e-04, eta: 8:16:26, time: 0.194, data_time: 0.007, memory: 19921, decode.loss_ce: 0.2082, decode.acc_seg: 91.4860, loss: 0.2082 +2023-03-04 01:40:19,406 - mmseg - INFO - Iter [8800/160000] lr: 1.500e-04, eta: 8:16:10, time: 0.190, data_time: 0.007, memory: 19921, decode.loss_ce: 0.2099, decode.acc_seg: 91.3590, loss: 0.2099 +2023-03-04 01:40:31,543 - mmseg - INFO - Iter [8850/160000] lr: 1.500e-04, eta: 8:16:39, time: 0.243, data_time: 0.057, memory: 19921, decode.loss_ce: 0.2174, decode.acc_seg: 91.0392, loss: 0.2174 +2023-03-04 01:40:41,391 - mmseg - INFO - Iter [8900/160000] lr: 1.500e-04, eta: 8:16:29, time: 0.197, data_time: 0.007, memory: 19921, decode.loss_ce: 0.2233, decode.acc_seg: 90.9495, loss: 0.2233 +2023-03-04 01:40:51,527 - mmseg - INFO - Iter [8950/160000] lr: 1.500e-04, eta: 8:16:24, time: 0.202, data_time: 0.007, memory: 19921, decode.loss_ce: 0.2172, decode.acc_seg: 91.2029, loss: 0.2172 +2023-03-04 01:41:00,954 - mmseg - INFO - Exp name: ablation_segformer_mit_b2_segformer_head_unet_fc_small_multi_step_ade_pretrained_freeze_embed_160k_ade20k151_finetune_ema_t50.py +2023-03-04 01:41:00,954 - mmseg - INFO - Iter [9000/160000] lr: 1.500e-04, eta: 8:16:07, time: 0.189, data_time: 0.007, memory: 19921, decode.loss_ce: 0.2179, decode.acc_seg: 91.1573, loss: 0.2179 +2023-03-04 01:41:10,583 - mmseg - INFO - Iter [9050/160000] lr: 1.500e-04, eta: 8:15:53, time: 0.193, data_time: 0.007, memory: 19921, decode.loss_ce: 0.2049, decode.acc_seg: 91.4639, loss: 0.2049 +2023-03-04 01:41:20,312 - mmseg - INFO - Iter [9100/160000] lr: 1.500e-04, eta: 8:15:41, time: 0.195, data_time: 0.007, memory: 19921, decode.loss_ce: 0.2194, decode.acc_seg: 91.0871, loss: 0.2194 +2023-03-04 01:41:29,905 - mmseg - INFO - Iter [9150/160000] lr: 1.500e-04, eta: 8:15:27, time: 0.192, data_time: 0.007, memory: 19921, decode.loss_ce: 0.2112, decode.acc_seg: 91.3463, loss: 0.2112 +2023-03-04 01:41:39,680 - mmseg - INFO - Iter [9200/160000] lr: 1.500e-04, eta: 8:15:16, time: 0.196, data_time: 0.007, memory: 19921, decode.loss_ce: 0.2112, decode.acc_seg: 91.4686, loss: 0.2112 +2023-03-04 01:41:49,190 - mmseg - INFO - Iter [9250/160000] lr: 1.500e-04, eta: 8:15:00, time: 0.190, data_time: 0.007, memory: 19921, decode.loss_ce: 0.2173, decode.acc_seg: 91.1561, loss: 0.2173 +2023-03-04 01:41:58,708 - mmseg - INFO - Iter [9300/160000] lr: 1.500e-04, eta: 8:14:45, time: 0.190, data_time: 0.007, memory: 19921, decode.loss_ce: 0.2094, decode.acc_seg: 91.1844, loss: 0.2094 +2023-03-04 01:42:08,338 - mmseg - INFO - Iter [9350/160000] lr: 1.500e-04, eta: 8:14:32, time: 0.193, data_time: 0.007, memory: 19921, decode.loss_ce: 0.2114, decode.acc_seg: 91.3531, loss: 0.2114 +2023-03-04 01:42:18,507 - mmseg - INFO - Iter [9400/160000] lr: 1.500e-04, eta: 8:14:27, time: 0.203, data_time: 0.007, memory: 19921, decode.loss_ce: 0.2106, decode.acc_seg: 91.4277, loss: 0.2106 +2023-03-04 01:42:27,996 - mmseg - INFO - Iter [9450/160000] lr: 1.500e-04, eta: 8:14:11, time: 0.190, data_time: 0.007, memory: 19921, decode.loss_ce: 0.2157, decode.acc_seg: 91.2712, loss: 0.2157 +2023-03-04 01:42:40,075 - mmseg - INFO - Iter [9500/160000] lr: 1.500e-04, eta: 8:14:37, time: 0.242, data_time: 0.056, memory: 19921, decode.loss_ce: 0.2144, decode.acc_seg: 91.2952, loss: 0.2144 +2023-03-04 01:42:49,514 - mmseg - INFO - Iter [9550/160000] lr: 1.500e-04, eta: 8:14:20, time: 0.189, data_time: 0.007, memory: 19921, decode.loss_ce: 0.2123, decode.acc_seg: 91.3351, loss: 0.2123 +2023-03-04 01:42:59,269 - mmseg - INFO - Iter [9600/160000] lr: 1.500e-04, eta: 8:14:09, time: 0.195, data_time: 0.007, memory: 19921, decode.loss_ce: 0.2079, decode.acc_seg: 91.4449, loss: 0.2079 +2023-03-04 01:43:09,233 - mmseg - INFO - Iter [9650/160000] lr: 1.500e-04, eta: 8:14:01, time: 0.199, data_time: 0.007, memory: 19921, decode.loss_ce: 0.2036, decode.acc_seg: 91.6202, loss: 0.2036 +2023-03-04 01:43:18,857 - mmseg - INFO - Iter [9700/160000] lr: 1.500e-04, eta: 8:13:47, time: 0.192, data_time: 0.007, memory: 19921, decode.loss_ce: 0.2081, decode.acc_seg: 91.6704, loss: 0.2081 +2023-03-04 01:43:28,665 - mmseg - INFO - Iter [9750/160000] lr: 1.500e-04, eta: 8:13:37, time: 0.196, data_time: 0.007, memory: 19921, decode.loss_ce: 0.2151, decode.acc_seg: 91.2480, loss: 0.2151 +2023-03-04 01:43:38,555 - mmseg - INFO - Iter [9800/160000] lr: 1.500e-04, eta: 8:13:27, time: 0.198, data_time: 0.007, memory: 19921, decode.loss_ce: 0.2216, decode.acc_seg: 91.0704, loss: 0.2216 +2023-03-04 01:43:47,980 - mmseg - INFO - Iter [9850/160000] lr: 1.500e-04, eta: 8:13:11, time: 0.188, data_time: 0.007, memory: 19921, decode.loss_ce: 0.2222, decode.acc_seg: 90.9087, loss: 0.2222 +2023-03-04 01:43:57,468 - mmseg - INFO - Iter [9900/160000] lr: 1.500e-04, eta: 8:12:56, time: 0.190, data_time: 0.007, memory: 19921, decode.loss_ce: 0.2027, decode.acc_seg: 91.6586, loss: 0.2027 +2023-03-04 01:44:06,977 - mmseg - INFO - Iter [9950/160000] lr: 1.500e-04, eta: 8:12:41, time: 0.190, data_time: 0.007, memory: 19921, decode.loss_ce: 0.2186, decode.acc_seg: 91.1099, loss: 0.2186 +2023-03-04 01:44:16,582 - mmseg - INFO - Exp name: ablation_segformer_mit_b2_segformer_head_unet_fc_small_multi_step_ade_pretrained_freeze_embed_160k_ade20k151_finetune_ema_t50.py +2023-03-04 01:44:16,582 - mmseg - INFO - Iter [10000/160000] lr: 1.500e-04, eta: 8:12:27, time: 0.192, data_time: 0.007, memory: 19921, decode.loss_ce: 0.2172, decode.acc_seg: 91.3651, loss: 0.2172 +2023-03-04 01:44:26,105 - mmseg - INFO - Iter [10050/160000] lr: 1.500e-04, eta: 8:12:12, time: 0.190, data_time: 0.007, memory: 19921, decode.loss_ce: 0.2079, decode.acc_seg: 91.6251, loss: 0.2079 +2023-03-04 01:44:38,307 - mmseg - INFO - Iter [10100/160000] lr: 1.500e-04, eta: 8:12:37, time: 0.244, data_time: 0.059, memory: 19921, decode.loss_ce: 0.2158, decode.acc_seg: 91.2030, loss: 0.2158 +2023-03-04 01:44:48,107 - mmseg - INFO - Iter [10150/160000] lr: 1.500e-04, eta: 8:12:27, time: 0.196, data_time: 0.007, memory: 19921, decode.loss_ce: 0.2139, decode.acc_seg: 91.4688, loss: 0.2139 +2023-03-04 01:44:57,689 - mmseg - INFO - Iter [10200/160000] lr: 1.500e-04, eta: 8:12:13, time: 0.192, data_time: 0.007, memory: 19921, decode.loss_ce: 0.2201, decode.acc_seg: 91.0497, loss: 0.2201 +2023-03-04 01:45:07,226 - mmseg - INFO - Iter [10250/160000] lr: 1.500e-04, eta: 8:11:58, time: 0.191, data_time: 0.007, memory: 19921, decode.loss_ce: 0.2161, decode.acc_seg: 91.0752, loss: 0.2161 +2023-03-04 01:45:16,867 - mmseg - INFO - Iter [10300/160000] lr: 1.500e-04, eta: 8:11:45, time: 0.193, data_time: 0.007, memory: 19921, decode.loss_ce: 0.2161, decode.acc_seg: 91.2769, loss: 0.2161 +2023-03-04 01:45:26,424 - mmseg - INFO - Iter [10350/160000] lr: 1.500e-04, eta: 8:11:31, time: 0.191, data_time: 0.007, memory: 19921, decode.loss_ce: 0.2037, decode.acc_seg: 91.5617, loss: 0.2037 +2023-03-04 01:45:35,998 - mmseg - INFO - Iter [10400/160000] lr: 1.500e-04, eta: 8:11:17, time: 0.192, data_time: 0.007, memory: 19921, decode.loss_ce: 0.2247, decode.acc_seg: 91.0031, loss: 0.2247 +2023-03-04 01:45:45,459 - mmseg - INFO - Iter [10450/160000] lr: 1.500e-04, eta: 8:11:02, time: 0.189, data_time: 0.007, memory: 19921, decode.loss_ce: 0.2107, decode.acc_seg: 91.5329, loss: 0.2107 +2023-03-04 01:45:55,011 - mmseg - INFO - Iter [10500/160000] lr: 1.500e-04, eta: 8:10:48, time: 0.191, data_time: 0.007, memory: 19921, decode.loss_ce: 0.2292, decode.acc_seg: 90.6632, loss: 0.2292 +2023-03-04 01:46:04,527 - mmseg - INFO - Iter [10550/160000] lr: 1.500e-04, eta: 8:10:33, time: 0.190, data_time: 0.007, memory: 19921, decode.loss_ce: 0.2106, decode.acc_seg: 91.4365, loss: 0.2106 +2023-03-04 01:46:13,946 - mmseg - INFO - Iter [10600/160000] lr: 1.500e-04, eta: 8:10:17, time: 0.188, data_time: 0.007, memory: 19921, decode.loss_ce: 0.2137, decode.acc_seg: 91.3389, loss: 0.2137 +2023-03-04 01:46:23,493 - mmseg - INFO - Iter [10650/160000] lr: 1.500e-04, eta: 8:10:03, time: 0.191, data_time: 0.007, memory: 19921, decode.loss_ce: 0.2043, decode.acc_seg: 91.6978, loss: 0.2043 +2023-03-04 01:46:33,273 - mmseg - INFO - Iter [10700/160000] lr: 1.500e-04, eta: 8:09:52, time: 0.196, data_time: 0.007, memory: 19921, decode.loss_ce: 0.2077, decode.acc_seg: 91.4326, loss: 0.2077 +2023-03-04 01:46:45,339 - mmseg - INFO - Iter [10750/160000] lr: 1.500e-04, eta: 8:10:13, time: 0.241, data_time: 0.055, memory: 19921, decode.loss_ce: 0.2118, decode.acc_seg: 91.2822, loss: 0.2118 +2023-03-04 01:46:54,848 - mmseg - INFO - Iter [10800/160000] lr: 1.500e-04, eta: 8:09:59, time: 0.190, data_time: 0.007, memory: 19921, decode.loss_ce: 0.2151, decode.acc_seg: 91.1708, loss: 0.2151 +2023-03-04 01:47:04,235 - mmseg - INFO - Iter [10850/160000] lr: 1.500e-04, eta: 8:09:42, time: 0.188, data_time: 0.007, memory: 19921, decode.loss_ce: 0.2129, decode.acc_seg: 91.3381, loss: 0.2129 +2023-03-04 01:47:13,927 - mmseg - INFO - Iter [10900/160000] lr: 1.500e-04, eta: 8:09:30, time: 0.194, data_time: 0.007, memory: 19921, decode.loss_ce: 0.2154, decode.acc_seg: 91.2436, loss: 0.2154 +2023-03-04 01:47:23,637 - mmseg - INFO - Iter [10950/160000] lr: 1.500e-04, eta: 8:09:19, time: 0.194, data_time: 0.007, memory: 19921, decode.loss_ce: 0.2168, decode.acc_seg: 91.2341, loss: 0.2168 +2023-03-04 01:47:33,160 - mmseg - INFO - Exp name: ablation_segformer_mit_b2_segformer_head_unet_fc_small_multi_step_ade_pretrained_freeze_embed_160k_ade20k151_finetune_ema_t50.py +2023-03-04 01:47:33,160 - mmseg - INFO - Iter [11000/160000] lr: 1.500e-04, eta: 8:09:04, time: 0.190, data_time: 0.007, memory: 19921, decode.loss_ce: 0.2215, decode.acc_seg: 91.0272, loss: 0.2215 +2023-03-04 01:47:42,634 - mmseg - INFO - Iter [11050/160000] lr: 1.500e-04, eta: 8:08:50, time: 0.189, data_time: 0.007, memory: 19921, decode.loss_ce: 0.2193, decode.acc_seg: 91.1023, loss: 0.2193 +2023-03-04 01:47:52,368 - mmseg - INFO - Iter [11100/160000] lr: 1.500e-04, eta: 8:08:38, time: 0.195, data_time: 0.007, memory: 19921, decode.loss_ce: 0.1996, decode.acc_seg: 91.8575, loss: 0.1996 +2023-03-04 01:48:01,870 - mmseg - INFO - Iter [11150/160000] lr: 1.500e-04, eta: 8:08:24, time: 0.190, data_time: 0.007, memory: 19921, decode.loss_ce: 0.2055, decode.acc_seg: 91.6592, loss: 0.2055 +2023-03-04 01:48:11,279 - mmseg - INFO - Iter [11200/160000] lr: 1.500e-04, eta: 8:08:08, time: 0.188, data_time: 0.007, memory: 19921, decode.loss_ce: 0.2141, decode.acc_seg: 91.2854, loss: 0.2141 +2023-03-04 01:48:20,703 - mmseg - INFO - Iter [11250/160000] lr: 1.500e-04, eta: 8:07:53, time: 0.188, data_time: 0.007, memory: 19921, decode.loss_ce: 0.2058, decode.acc_seg: 91.4285, loss: 0.2058 +2023-03-04 01:48:30,392 - mmseg - INFO - Iter [11300/160000] lr: 1.500e-04, eta: 8:07:41, time: 0.194, data_time: 0.007, memory: 19921, decode.loss_ce: 0.2143, decode.acc_seg: 91.3218, loss: 0.2143 +2023-03-04 01:48:39,999 - mmseg - INFO - Iter [11350/160000] lr: 1.500e-04, eta: 8:07:28, time: 0.192, data_time: 0.007, memory: 19921, decode.loss_ce: 0.2186, decode.acc_seg: 91.1350, loss: 0.2186 +2023-03-04 01:48:52,112 - mmseg - INFO - Iter [11400/160000] lr: 1.500e-04, eta: 8:07:48, time: 0.242, data_time: 0.055, memory: 19921, decode.loss_ce: 0.2148, decode.acc_seg: 91.2714, loss: 0.2148 +2023-03-04 01:49:01,687 - mmseg - INFO - Iter [11450/160000] lr: 1.500e-04, eta: 8:07:34, time: 0.192, data_time: 0.007, memory: 19921, decode.loss_ce: 0.2099, decode.acc_seg: 91.4718, loss: 0.2099 +2023-03-04 01:49:11,525 - mmseg - INFO - Iter [11500/160000] lr: 1.500e-04, eta: 8:07:24, time: 0.197, data_time: 0.007, memory: 19921, decode.loss_ce: 0.2141, decode.acc_seg: 91.1541, loss: 0.2141 +2023-03-04 01:49:21,596 - mmseg - INFO - Iter [11550/160000] lr: 1.500e-04, eta: 8:07:18, time: 0.202, data_time: 0.007, memory: 19921, decode.loss_ce: 0.2041, decode.acc_seg: 91.5443, loss: 0.2041 +2023-03-04 01:49:31,301 - mmseg - INFO - Iter [11600/160000] lr: 1.500e-04, eta: 8:07:06, time: 0.194, data_time: 0.007, memory: 19921, decode.loss_ce: 0.2068, decode.acc_seg: 91.5923, loss: 0.2068 +2023-03-04 01:49:40,711 - mmseg - INFO - Iter [11650/160000] lr: 1.500e-04, eta: 8:06:50, time: 0.188, data_time: 0.007, memory: 19921, decode.loss_ce: 0.2215, decode.acc_seg: 91.0466, loss: 0.2215 +2023-03-04 01:49:50,099 - mmseg - INFO - Iter [11700/160000] lr: 1.500e-04, eta: 8:06:35, time: 0.188, data_time: 0.007, memory: 19921, decode.loss_ce: 0.2047, decode.acc_seg: 91.5558, loss: 0.2047 +2023-03-04 01:49:59,601 - mmseg - INFO - Iter [11750/160000] lr: 1.500e-04, eta: 8:06:21, time: 0.190, data_time: 0.007, memory: 19921, decode.loss_ce: 0.2193, decode.acc_seg: 91.0299, loss: 0.2193 +2023-03-04 01:50:09,178 - mmseg - INFO - Iter [11800/160000] lr: 1.500e-04, eta: 8:06:07, time: 0.192, data_time: 0.007, memory: 19921, decode.loss_ce: 0.2173, decode.acc_seg: 91.1349, loss: 0.2173 +2023-03-04 01:50:18,642 - mmseg - INFO - Iter [11850/160000] lr: 1.500e-04, eta: 8:05:53, time: 0.189, data_time: 0.007, memory: 19921, decode.loss_ce: 0.2221, decode.acc_seg: 91.0236, loss: 0.2221 +2023-03-04 01:50:28,190 - mmseg - INFO - Iter [11900/160000] lr: 1.500e-04, eta: 8:05:39, time: 0.191, data_time: 0.007, memory: 19921, decode.loss_ce: 0.2118, decode.acc_seg: 91.5538, loss: 0.2118 +2023-03-04 01:50:37,739 - mmseg - INFO - Iter [11950/160000] lr: 1.500e-04, eta: 8:05:26, time: 0.191, data_time: 0.007, memory: 19921, decode.loss_ce: 0.2100, decode.acc_seg: 91.2204, loss: 0.2100 +2023-03-04 01:50:49,907 - mmseg - INFO - Exp name: ablation_segformer_mit_b2_segformer_head_unet_fc_small_multi_step_ade_pretrained_freeze_embed_160k_ade20k151_finetune_ema_t50.py +2023-03-04 01:50:49,907 - mmseg - INFO - Iter [12000/160000] lr: 1.500e-04, eta: 8:05:45, time: 0.243, data_time: 0.055, memory: 19921, decode.loss_ce: 0.2237, decode.acc_seg: 90.8054, loss: 0.2237 +2023-03-04 01:50:59,562 - mmseg - INFO - Iter [12050/160000] lr: 1.500e-04, eta: 8:05:33, time: 0.193, data_time: 0.007, memory: 19921, decode.loss_ce: 0.2160, decode.acc_seg: 91.0780, loss: 0.2160 +2023-03-04 01:51:08,972 - mmseg - INFO - Iter [12100/160000] lr: 1.500e-04, eta: 8:05:18, time: 0.188, data_time: 0.007, memory: 19921, decode.loss_ce: 0.2204, decode.acc_seg: 91.0105, loss: 0.2204 +2023-03-04 01:51:18,372 - mmseg - INFO - Iter [12150/160000] lr: 1.500e-04, eta: 8:05:02, time: 0.188, data_time: 0.007, memory: 19921, decode.loss_ce: 0.2138, decode.acc_seg: 91.3660, loss: 0.2138 +2023-03-04 01:51:27,942 - mmseg - INFO - Iter [12200/160000] lr: 1.500e-04, eta: 8:04:49, time: 0.191, data_time: 0.007, memory: 19921, decode.loss_ce: 0.2086, decode.acc_seg: 91.4604, loss: 0.2086 +2023-03-04 01:51:37,404 - mmseg - INFO - Iter [12250/160000] lr: 1.500e-04, eta: 8:04:35, time: 0.189, data_time: 0.007, memory: 19921, decode.loss_ce: 0.2075, decode.acc_seg: 91.4729, loss: 0.2075 +2023-03-04 01:51:47,347 - mmseg - INFO - Iter [12300/160000] lr: 1.500e-04, eta: 8:04:26, time: 0.199, data_time: 0.007, memory: 19921, decode.loss_ce: 0.2066, decode.acc_seg: 91.4518, loss: 0.2066 +2023-03-04 01:51:56,923 - mmseg - INFO - Iter [12350/160000] lr: 1.500e-04, eta: 8:04:13, time: 0.192, data_time: 0.007, memory: 19921, decode.loss_ce: 0.2075, decode.acc_seg: 91.5723, loss: 0.2075 +2023-03-04 01:52:06,465 - mmseg - INFO - Iter [12400/160000] lr: 1.500e-04, eta: 8:04:00, time: 0.191, data_time: 0.007, memory: 19921, decode.loss_ce: 0.2063, decode.acc_seg: 91.4851, loss: 0.2063 +2023-03-04 01:52:16,014 - mmseg - INFO - Iter [12450/160000] lr: 1.500e-04, eta: 8:03:47, time: 0.191, data_time: 0.007, memory: 19921, decode.loss_ce: 0.2107, decode.acc_seg: 91.3570, loss: 0.2107 +2023-03-04 01:52:25,833 - mmseg - INFO - Iter [12500/160000] lr: 1.500e-04, eta: 8:03:36, time: 0.196, data_time: 0.007, memory: 19921, decode.loss_ce: 0.2132, decode.acc_seg: 91.2191, loss: 0.2132 +2023-03-04 01:52:35,218 - mmseg - INFO - Iter [12550/160000] lr: 1.500e-04, eta: 8:03:21, time: 0.188, data_time: 0.007, memory: 19921, decode.loss_ce: 0.2109, decode.acc_seg: 91.5961, loss: 0.2109 +2023-03-04 01:52:44,768 - mmseg - INFO - Iter [12600/160000] lr: 1.500e-04, eta: 8:03:08, time: 0.191, data_time: 0.007, memory: 19921, decode.loss_ce: 0.2127, decode.acc_seg: 91.3183, loss: 0.2127 +2023-03-04 01:52:56,937 - mmseg - INFO - Iter [12650/160000] lr: 1.500e-04, eta: 8:03:25, time: 0.243, data_time: 0.055, memory: 19921, decode.loss_ce: 0.2128, decode.acc_seg: 91.3798, loss: 0.2128 +2023-03-04 01:53:06,746 - mmseg - INFO - Iter [12700/160000] lr: 1.500e-04, eta: 8:03:15, time: 0.196, data_time: 0.007, memory: 19921, decode.loss_ce: 0.2187, decode.acc_seg: 91.1464, loss: 0.2187 +2023-03-04 01:53:16,419 - mmseg - INFO - Iter [12750/160000] lr: 1.500e-04, eta: 8:03:04, time: 0.193, data_time: 0.007, memory: 19921, decode.loss_ce: 0.2125, decode.acc_seg: 91.3020, loss: 0.2125 +2023-03-04 01:53:26,029 - mmseg - INFO - Iter [12800/160000] lr: 1.500e-04, eta: 8:02:51, time: 0.192, data_time: 0.007, memory: 19921, decode.loss_ce: 0.2067, decode.acc_seg: 91.4256, loss: 0.2067 +2023-03-04 01:53:35,539 - mmseg - INFO - Iter [12850/160000] lr: 1.500e-04, eta: 8:02:37, time: 0.190, data_time: 0.007, memory: 19921, decode.loss_ce: 0.2120, decode.acc_seg: 91.4769, loss: 0.2120 +2023-03-04 01:53:45,317 - mmseg - INFO - Iter [12900/160000] lr: 1.500e-04, eta: 8:02:27, time: 0.196, data_time: 0.007, memory: 19921, decode.loss_ce: 0.2143, decode.acc_seg: 91.0925, loss: 0.2143 +2023-03-04 01:53:54,838 - mmseg - INFO - Iter [12950/160000] lr: 1.500e-04, eta: 8:02:13, time: 0.190, data_time: 0.007, memory: 19921, decode.loss_ce: 0.2052, decode.acc_seg: 91.4657, loss: 0.2052 +2023-03-04 01:54:04,307 - mmseg - INFO - Exp name: ablation_segformer_mit_b2_segformer_head_unet_fc_small_multi_step_ade_pretrained_freeze_embed_160k_ade20k151_finetune_ema_t50.py +2023-03-04 01:54:04,307 - mmseg - INFO - Iter [13000/160000] lr: 1.500e-04, eta: 8:01:59, time: 0.189, data_time: 0.007, memory: 19921, decode.loss_ce: 0.2190, decode.acc_seg: 91.1010, loss: 0.2190 +2023-03-04 01:54:14,161 - mmseg - INFO - Iter [13050/160000] lr: 1.500e-04, eta: 8:01:50, time: 0.197, data_time: 0.007, memory: 19921, decode.loss_ce: 0.2183, decode.acc_seg: 91.1546, loss: 0.2183 +2023-03-04 01:54:23,847 - mmseg - INFO - Iter [13100/160000] lr: 1.500e-04, eta: 8:01:38, time: 0.194, data_time: 0.007, memory: 19921, decode.loss_ce: 0.2128, decode.acc_seg: 91.2609, loss: 0.2128 +2023-03-04 01:54:33,380 - mmseg - INFO - Iter [13150/160000] lr: 1.500e-04, eta: 8:01:25, time: 0.191, data_time: 0.007, memory: 19921, decode.loss_ce: 0.2064, decode.acc_seg: 91.5799, loss: 0.2064 +2023-03-04 01:54:42,738 - mmseg - INFO - Iter [13200/160000] lr: 1.500e-04, eta: 8:01:10, time: 0.187, data_time: 0.007, memory: 19921, decode.loss_ce: 0.2167, decode.acc_seg: 91.1480, loss: 0.2167 +2023-03-04 01:54:52,207 - mmseg - INFO - Iter [13250/160000] lr: 1.500e-04, eta: 8:00:56, time: 0.189, data_time: 0.007, memory: 19921, decode.loss_ce: 0.2159, decode.acc_seg: 91.1243, loss: 0.2159 +2023-03-04 01:55:04,410 - mmseg - INFO - Iter [13300/160000] lr: 1.500e-04, eta: 8:01:12, time: 0.244, data_time: 0.054, memory: 19921, decode.loss_ce: 0.2115, decode.acc_seg: 91.3025, loss: 0.2115 +2023-03-04 01:55:13,990 - mmseg - INFO - Iter [13350/160000] lr: 1.500e-04, eta: 8:01:00, time: 0.192, data_time: 0.007, memory: 19921, decode.loss_ce: 0.2102, decode.acc_seg: 91.3417, loss: 0.2102 +2023-03-04 01:55:23,728 - mmseg - INFO - Iter [13400/160000] lr: 1.500e-04, eta: 8:00:49, time: 0.195, data_time: 0.007, memory: 19921, decode.loss_ce: 0.2064, decode.acc_seg: 91.5265, loss: 0.2064 +2023-03-04 01:55:33,263 - mmseg - INFO - Iter [13450/160000] lr: 1.500e-04, eta: 8:00:35, time: 0.191, data_time: 0.007, memory: 19921, decode.loss_ce: 0.2095, decode.acc_seg: 91.5982, loss: 0.2095 +2023-03-04 01:55:42,783 - mmseg - INFO - Iter [13500/160000] lr: 1.500e-04, eta: 8:00:22, time: 0.190, data_time: 0.007, memory: 19921, decode.loss_ce: 0.2106, decode.acc_seg: 91.5043, loss: 0.2106 +2023-03-04 01:55:52,398 - mmseg - INFO - Iter [13550/160000] lr: 1.500e-04, eta: 8:00:10, time: 0.192, data_time: 0.007, memory: 19921, decode.loss_ce: 0.2085, decode.acc_seg: 91.3714, loss: 0.2085 +2023-03-04 01:56:02,841 - mmseg - INFO - Iter [13600/160000] lr: 1.500e-04, eta: 8:00:07, time: 0.209, data_time: 0.007, memory: 19921, decode.loss_ce: 0.2184, decode.acc_seg: 91.1043, loss: 0.2184 +2023-03-04 01:56:12,535 - mmseg - INFO - Iter [13650/160000] lr: 1.500e-04, eta: 7:59:55, time: 0.194, data_time: 0.007, memory: 19921, decode.loss_ce: 0.2094, decode.acc_seg: 91.4046, loss: 0.2094 +2023-03-04 01:56:22,122 - mmseg - INFO - Iter [13700/160000] lr: 1.500e-04, eta: 7:59:43, time: 0.192, data_time: 0.007, memory: 19921, decode.loss_ce: 0.2102, decode.acc_seg: 91.4602, loss: 0.2102 +2023-03-04 01:56:31,802 - mmseg - INFO - Iter [13750/160000] lr: 1.500e-04, eta: 7:59:31, time: 0.194, data_time: 0.007, memory: 19921, decode.loss_ce: 0.2159, decode.acc_seg: 91.2729, loss: 0.2159 +2023-03-04 01:56:41,532 - mmseg - INFO - Iter [13800/160000] lr: 1.500e-04, eta: 7:59:20, time: 0.195, data_time: 0.007, memory: 19921, decode.loss_ce: 0.2203, decode.acc_seg: 91.2827, loss: 0.2203 +2023-03-04 01:56:50,988 - mmseg - INFO - Iter [13850/160000] lr: 1.500e-04, eta: 7:59:06, time: 0.189, data_time: 0.007, memory: 19921, decode.loss_ce: 0.2136, decode.acc_seg: 91.3198, loss: 0.2136 +2023-03-04 01:57:03,073 - mmseg - INFO - Iter [13900/160000] lr: 1.500e-04, eta: 7:59:20, time: 0.242, data_time: 0.054, memory: 19921, decode.loss_ce: 0.2145, decode.acc_seg: 91.3111, loss: 0.2145 +2023-03-04 01:57:12,525 - mmseg - INFO - Iter [13950/160000] lr: 1.500e-04, eta: 7:59:06, time: 0.189, data_time: 0.007, memory: 19921, decode.loss_ce: 0.2182, decode.acc_seg: 91.0477, loss: 0.2182 +2023-03-04 01:57:21,951 - mmseg - INFO - Exp name: ablation_segformer_mit_b2_segformer_head_unet_fc_small_multi_step_ade_pretrained_freeze_embed_160k_ade20k151_finetune_ema_t50.py +2023-03-04 01:57:21,952 - mmseg - INFO - Iter [14000/160000] lr: 1.500e-04, eta: 7:58:52, time: 0.189, data_time: 0.007, memory: 19921, decode.loss_ce: 0.2114, decode.acc_seg: 91.5551, loss: 0.2114 +2023-03-04 01:57:31,652 - mmseg - INFO - Iter [14050/160000] lr: 1.500e-04, eta: 7:58:41, time: 0.194, data_time: 0.007, memory: 19921, decode.loss_ce: 0.2069, decode.acc_seg: 91.6464, loss: 0.2069 +2023-03-04 01:57:41,178 - mmseg - INFO - Iter [14100/160000] lr: 1.500e-04, eta: 7:58:28, time: 0.190, data_time: 0.007, memory: 19921, decode.loss_ce: 0.2143, decode.acc_seg: 91.1919, loss: 0.2143 +2023-03-04 01:57:51,025 - mmseg - INFO - Iter [14150/160000] lr: 1.500e-04, eta: 7:58:18, time: 0.197, data_time: 0.007, memory: 19921, decode.loss_ce: 0.2019, decode.acc_seg: 91.6379, loss: 0.2019 +2023-03-04 01:58:00,714 - mmseg - INFO - Iter [14200/160000] lr: 1.500e-04, eta: 7:58:07, time: 0.194, data_time: 0.007, memory: 19921, decode.loss_ce: 0.2193, decode.acc_seg: 91.1739, loss: 0.2193 +2023-03-04 01:58:10,292 - mmseg - INFO - Iter [14250/160000] lr: 1.500e-04, eta: 7:57:54, time: 0.192, data_time: 0.007, memory: 19921, decode.loss_ce: 0.1983, decode.acc_seg: 91.8290, loss: 0.1983 +2023-03-04 01:58:20,012 - mmseg - INFO - Iter [14300/160000] lr: 1.500e-04, eta: 7:57:43, time: 0.194, data_time: 0.007, memory: 19921, decode.loss_ce: 0.2072, decode.acc_seg: 91.3766, loss: 0.2072 +2023-03-04 01:58:29,582 - mmseg - INFO - Iter [14350/160000] lr: 1.500e-04, eta: 7:57:31, time: 0.191, data_time: 0.007, memory: 19921, decode.loss_ce: 0.2213, decode.acc_seg: 91.1102, loss: 0.2213 +2023-03-04 01:58:39,282 - mmseg - INFO - Iter [14400/160000] lr: 1.500e-04, eta: 7:57:19, time: 0.194, data_time: 0.007, memory: 19921, decode.loss_ce: 0.2135, decode.acc_seg: 91.2683, loss: 0.2135 +2023-03-04 01:58:48,837 - mmseg - INFO - Iter [14450/160000] lr: 1.500e-04, eta: 7:57:07, time: 0.191, data_time: 0.007, memory: 19921, decode.loss_ce: 0.2154, decode.acc_seg: 91.2061, loss: 0.2154 +2023-03-04 01:58:58,358 - mmseg - INFO - Iter [14500/160000] lr: 1.500e-04, eta: 7:56:54, time: 0.190, data_time: 0.007, memory: 19921, decode.loss_ce: 0.2152, decode.acc_seg: 91.2720, loss: 0.2152 +2023-03-04 01:59:10,439 - mmseg - INFO - Iter [14550/160000] lr: 1.500e-04, eta: 7:57:06, time: 0.242, data_time: 0.058, memory: 19921, decode.loss_ce: 0.2171, decode.acc_seg: 91.1232, loss: 0.2171 +2023-03-04 01:59:20,025 - mmseg - INFO - Iter [14600/160000] lr: 1.500e-04, eta: 7:56:54, time: 0.192, data_time: 0.007, memory: 19921, decode.loss_ce: 0.2031, decode.acc_seg: 91.6228, loss: 0.2031 +2023-03-04 01:59:30,126 - mmseg - INFO - Iter [14650/160000] lr: 1.500e-04, eta: 7:56:47, time: 0.202, data_time: 0.007, memory: 19921, decode.loss_ce: 0.2111, decode.acc_seg: 91.3336, loss: 0.2111 +2023-03-04 01:59:39,824 - mmseg - INFO - Iter [14700/160000] lr: 1.500e-04, eta: 7:56:35, time: 0.194, data_time: 0.007, memory: 19921, decode.loss_ce: 0.2150, decode.acc_seg: 91.4251, loss: 0.2150 +2023-03-04 01:59:49,464 - mmseg - INFO - Iter [14750/160000] lr: 1.500e-04, eta: 7:56:24, time: 0.193, data_time: 0.007, memory: 19921, decode.loss_ce: 0.2003, decode.acc_seg: 91.7129, loss: 0.2003 +2023-03-04 01:59:58,863 - mmseg - INFO - Iter [14800/160000] lr: 1.500e-04, eta: 7:56:09, time: 0.188, data_time: 0.007, memory: 19921, decode.loss_ce: 0.2129, decode.acc_seg: 91.3836, loss: 0.2129 +2023-03-04 02:00:08,362 - mmseg - INFO - Iter [14850/160000] lr: 1.500e-04, eta: 7:55:56, time: 0.190, data_time: 0.007, memory: 19921, decode.loss_ce: 0.2092, decode.acc_seg: 91.2471, loss: 0.2092 +2023-03-04 02:00:17,849 - mmseg - INFO - Iter [14900/160000] lr: 1.500e-04, eta: 7:55:43, time: 0.190, data_time: 0.007, memory: 19921, decode.loss_ce: 0.2094, decode.acc_seg: 91.5119, loss: 0.2094 +2023-03-04 02:00:27,437 - mmseg - INFO - Iter [14950/160000] lr: 1.500e-04, eta: 7:55:31, time: 0.192, data_time: 0.007, memory: 19921, decode.loss_ce: 0.2203, decode.acc_seg: 91.0762, loss: 0.2203 +2023-03-04 02:00:37,035 - mmseg - INFO - Exp name: ablation_segformer_mit_b2_segformer_head_unet_fc_small_multi_step_ade_pretrained_freeze_embed_160k_ade20k151_finetune_ema_t50.py +2023-03-04 02:00:37,035 - mmseg - INFO - Iter [15000/160000] lr: 1.500e-04, eta: 7:55:19, time: 0.192, data_time: 0.007, memory: 19921, decode.loss_ce: 0.2087, decode.acc_seg: 91.3650, loss: 0.2087 +2023-03-04 02:00:46,521 - mmseg - INFO - Iter [15050/160000] lr: 1.500e-04, eta: 7:55:05, time: 0.190, data_time: 0.007, memory: 19921, decode.loss_ce: 0.2135, decode.acc_seg: 91.2465, loss: 0.2135 +2023-03-04 02:00:56,348 - mmseg - INFO - Iter [15100/160000] lr: 1.500e-04, eta: 7:54:56, time: 0.197, data_time: 0.007, memory: 19921, decode.loss_ce: 0.2165, decode.acc_seg: 91.2290, loss: 0.2165 +2023-03-04 02:01:08,360 - mmseg - INFO - Iter [15150/160000] lr: 1.500e-04, eta: 7:55:07, time: 0.240, data_time: 0.054, memory: 19921, decode.loss_ce: 0.2141, decode.acc_seg: 91.2475, loss: 0.2141 +2023-03-04 02:01:17,938 - mmseg - INFO - Iter [15200/160000] lr: 1.500e-04, eta: 7:54:54, time: 0.192, data_time: 0.007, memory: 19921, decode.loss_ce: 0.2124, decode.acc_seg: 91.5209, loss: 0.2124 +2023-03-04 02:01:27,336 - mmseg - INFO - Iter [15250/160000] lr: 1.500e-04, eta: 7:54:40, time: 0.188, data_time: 0.007, memory: 19921, decode.loss_ce: 0.2164, decode.acc_seg: 91.3639, loss: 0.2164 +2023-03-04 02:01:36,774 - mmseg - INFO - Iter [15300/160000] lr: 1.500e-04, eta: 7:54:27, time: 0.189, data_time: 0.007, memory: 19921, decode.loss_ce: 0.2077, decode.acc_seg: 91.4558, loss: 0.2077 +2023-03-04 02:01:46,569 - mmseg - INFO - Iter [15350/160000] lr: 1.500e-04, eta: 7:54:16, time: 0.196, data_time: 0.008, memory: 19921, decode.loss_ce: 0.2059, decode.acc_seg: 91.5995, loss: 0.2059 +2023-03-04 02:01:56,209 - mmseg - INFO - Iter [15400/160000] lr: 1.500e-04, eta: 7:54:05, time: 0.193, data_time: 0.007, memory: 19921, decode.loss_ce: 0.2130, decode.acc_seg: 91.2387, loss: 0.2130 +2023-03-04 02:02:05,660 - mmseg - INFO - Iter [15450/160000] lr: 1.500e-04, eta: 7:53:51, time: 0.189, data_time: 0.007, memory: 19921, decode.loss_ce: 0.2070, decode.acc_seg: 91.4882, loss: 0.2070 +2023-03-04 02:02:15,081 - mmseg - INFO - Iter [15500/160000] lr: 1.500e-04, eta: 7:53:38, time: 0.188, data_time: 0.007, memory: 19921, decode.loss_ce: 0.2104, decode.acc_seg: 91.5129, loss: 0.2104 +2023-03-04 02:02:24,593 - mmseg - INFO - Iter [15550/160000] lr: 1.500e-04, eta: 7:53:25, time: 0.190, data_time: 0.007, memory: 19921, decode.loss_ce: 0.2160, decode.acc_seg: 91.2606, loss: 0.2160 +2023-03-04 02:02:34,040 - mmseg - INFO - Iter [15600/160000] lr: 1.500e-04, eta: 7:53:11, time: 0.189, data_time: 0.007, memory: 19921, decode.loss_ce: 0.2199, decode.acc_seg: 91.1321, loss: 0.2199 +2023-03-04 02:02:43,964 - mmseg - INFO - Iter [15650/160000] lr: 1.500e-04, eta: 7:53:02, time: 0.198, data_time: 0.007, memory: 19921, decode.loss_ce: 0.2039, decode.acc_seg: 91.8683, loss: 0.2039 +2023-03-04 02:02:53,702 - mmseg - INFO - Iter [15700/160000] lr: 1.500e-04, eta: 7:52:52, time: 0.195, data_time: 0.007, memory: 19921, decode.loss_ce: 0.2127, decode.acc_seg: 91.2461, loss: 0.2127 +2023-03-04 02:03:03,448 - mmseg - INFO - Iter [15750/160000] lr: 1.500e-04, eta: 7:52:41, time: 0.195, data_time: 0.007, memory: 19921, decode.loss_ce: 0.2032, decode.acc_seg: 91.7126, loss: 0.2032 +2023-03-04 02:03:15,449 - mmseg - INFO - Iter [15800/160000] lr: 1.500e-04, eta: 7:52:51, time: 0.240, data_time: 0.057, memory: 19921, decode.loss_ce: 0.2153, decode.acc_seg: 91.2023, loss: 0.2153 +2023-03-04 02:03:25,086 - mmseg - INFO - Iter [15850/160000] lr: 1.500e-04, eta: 7:52:39, time: 0.193, data_time: 0.007, memory: 19921, decode.loss_ce: 0.2169, decode.acc_seg: 91.2196, loss: 0.2169 +2023-03-04 02:03:34,700 - mmseg - INFO - Iter [15900/160000] lr: 1.500e-04, eta: 7:52:27, time: 0.192, data_time: 0.007, memory: 19921, decode.loss_ce: 0.2156, decode.acc_seg: 91.0820, loss: 0.2156 +2023-03-04 02:03:44,165 - mmseg - INFO - Iter [15950/160000] lr: 1.500e-04, eta: 7:52:14, time: 0.189, data_time: 0.007, memory: 19921, decode.loss_ce: 0.2153, decode.acc_seg: 91.2293, loss: 0.2153 +2023-03-04 02:03:53,753 - mmseg - INFO - Swap parameters (after train) after iter [16000] +2023-03-04 02:03:53,766 - mmseg - INFO - Saving checkpoint at 16000 iterations +2023-03-04 02:03:54,776 - mmseg - INFO - Exp name: ablation_segformer_mit_b2_segformer_head_unet_fc_small_multi_step_ade_pretrained_freeze_embed_160k_ade20k151_finetune_ema_t50.py +2023-03-04 02:03:54,776 - mmseg - INFO - Iter [16000/160000] lr: 1.500e-04, eta: 7:52:11, time: 0.212, data_time: 0.007, memory: 19921, decode.loss_ce: 0.2213, decode.acc_seg: 91.1844, loss: 0.2213 +2023-03-04 02:12:44,635 - mmseg - INFO - per class results: +2023-03-04 02:12:44,644 - mmseg - INFO - ++---------------------+-------------------------------------------------------------------+ +| Class | IoU 0,5,10,15,20,25,30,35,40,45,49 | ++---------------------+-------------------------------------------------------------------+ +| background | nan,nan,nan,nan,nan,nan,nan,nan,nan,nan,nan | +| wall | 76.98,76.99,77.0,77.02,77.02,77.03,77.04,77.04,77.03,77.04,77.05 | +| building | 81.49,81.49,81.49,81.5,81.5,81.51,81.5,81.52,81.5,81.53,81.53 | +| sky | 94.38,94.38,94.38,94.38,94.38,94.38,94.39,94.38,94.39,94.38,94.39 | +| floor | 81.39,81.41,81.42,81.43,81.45,81.46,81.48,81.49,81.49,81.5,81.51 | +| tree | 73.84,73.85,73.82,73.83,73.83,73.85,73.84,73.84,73.82,73.83,73.84 | +| ceiling | 84.99,84.99,85.01,85.03,85.01,85.06,85.02,85.04,85.0,85.02,85.02 | +| road | 81.68,81.66,81.66,81.65,81.64,81.64,81.63,81.61,81.64,81.62,81.61 | +| bed | 87.44,87.42,87.43,87.44,87.42,87.44,87.39,87.44,87.39,87.4,87.4 | +| windowpane | 60.1,60.11,60.14,60.12,60.14,60.14,60.17,60.15,60.19,60.16,60.16 | +| grass | 66.99,67.01,67.0,67.02,67.04,67.04,67.04,67.03,67.06,67.03,67.04 | +| cabinet | 59.96,60.0,60.0,60.07,60.12,60.13,60.2,60.17,60.19,60.17,60.18 | +| sidewalk | 63.04,63.01,63.0,63.0,62.99,62.99,62.98,62.95,62.97,62.93,62.92 | +| person | 79.04,79.05,79.09,79.11,79.11,79.14,79.17,79.2,79.2,79.22,79.23 | +| earth | 35.63,35.61,35.69,35.69,35.74,35.74,35.74,35.74,35.78,35.8,35.8 | +| door | 44.39,44.41,44.42,44.47,44.45,44.53,44.52,44.55,44.56,44.66,44.7 | +| table | 59.8,59.79,59.82,59.84,59.87,59.86,59.84,59.85,59.84,59.8,59.79 | +| mountain | 56.73,56.74,56.73,56.68,56.72,56.7,56.69,56.7,56.7,56.69,56.7 | +| plant | 50.44,50.42,50.39,50.36,50.36,50.37,50.3,50.31,50.23,50.27,50.28 | +| curtain | 74.14,74.16,74.19,74.24,74.22,74.26,74.27,74.28,74.3,74.27,74.26 | +| chair | 55.48,55.5,55.53,55.55,55.56,55.55,55.56,55.56,55.56,55.52,55.5 | +| car | 81.55,81.53,81.54,81.59,81.6,81.58,81.61,81.6,81.58,81.63,81.61 | +| water | 57.34,57.34,57.32,57.32,57.26,57.27,57.24,57.24,57.21,57.21,57.19 | +| painting | 70.08,70.04,70.04,70.05,70.02,69.98,69.97,69.91,69.94,69.8,69.78 | +| sofa | 63.59,63.6,63.59,63.58,63.63,63.64,63.63,63.65,63.61,63.62,63.62 | +| shelf | 43.83,43.87,43.88,43.97,43.96,44.0,44.06,44.1,44.07,44.19,44.19 | +| house | 40.72,40.72,40.66,40.73,40.72,40.85,40.73,40.85,40.66,40.81,40.81 | +| sea | 60.33,60.31,60.27,60.27,60.22,60.2,60.14,60.1,60.07,60.04,60.01 | +| mirror | 64.22,64.34,64.29,64.27,64.36,64.36,64.37,64.39,64.41,64.43,64.45 | +| rug | 64.56,64.6,64.6,64.53,64.66,64.69,64.73,64.66,64.74,64.59,64.68 | +| field | 30.81,30.81,30.82,30.81,30.82,30.81,30.82,30.84,30.84,30.86,30.88 | +| armchair | 36.84,36.86,36.9,36.88,36.96,36.97,37.01,37.05,37.08,37.08,37.09 | +| seat | 66.1,66.13,66.2,66.18,66.14,66.19,66.16,66.27,66.28,66.31,66.3 | +| fence | 40.02,40.04,40.04,40.0,39.97,40.03,40.01,39.96,39.95,39.99,39.92 | +| desk | 46.31,46.31,46.29,46.29,46.28,46.29,46.25,46.21,46.16,46.1,46.05 | +| rock | 36.94,36.93,36.93,36.88,36.9,36.88,36.96,36.87,36.93,36.9,36.87 | +| wardrobe | 56.89,56.97,57.02,57.05,57.12,57.15,57.21,57.27,57.33,57.33,57.37 | +| lamp | 60.46,60.48,60.45,60.43,60.44,60.43,60.43,60.41,60.38,60.33,60.3 | +| bathtub | 75.03,75.1,75.03,75.17,75.04,75.04,75.22,75.11,74.98,75.07,75.05 | +| railing | 33.63,33.63,33.63,33.65,33.64,33.72,33.65,33.67,33.7,33.68,33.7 | +| cushion | 55.58,55.56,55.52,55.56,55.54,55.56,55.53,55.52,55.59,55.46,55.45 | +| base | 20.93,21.04,21.08,21.12,21.27,21.3,21.38,21.32,21.5,21.43,21.43 | +| box | 22.65,22.66,22.65,22.68,22.66,22.65,22.57,22.73,22.57,22.67,22.63 | +| column | 45.11,45.11,45.11,45.15,45.15,45.08,45.08,45.16,45.03,45.16,45.12 | +| signboard | 37.97,37.98,37.97,37.99,38.03,38.01,38.02,38.03,38.01,37.97,37.98 | +| chest of drawers | 36.26,36.35,36.32,36.48,36.55,36.46,36.69,36.51,36.64,36.5,36.49 | +| counter | 30.01,29.96,29.97,29.98,29.94,29.89,29.95,29.88,29.92,29.91,29.91 | +| sand | 41.8,41.91,41.93,42.06,42.06,42.1,42.11,42.18,42.18,42.25,42.26 | +| sink | 66.53,66.49,66.47,66.5,66.52,66.51,66.45,66.45,66.4,66.45,66.46 | +| skyscraper | 50.05,49.89,49.69,49.63,49.49,49.29,49.2,49.53,49.2,49.26,49.23 | +| fireplace | 74.89,74.97,74.9,75.04,75.02,75.13,75.08,75.08,75.24,75.17,75.16 | +| refrigerator | 74.2,74.21,74.25,74.31,74.26,74.34,74.24,74.29,74.2,74.26,74.23 | +| grandstand | 48.9,48.96,49.05,49.13,49.15,49.18,49.22,49.22,49.31,49.38,49.42 | +| path | 22.17,22.23,22.22,22.19,22.2,22.28,22.27,22.27,22.32,22.28,22.28 | +| stairs | 32.38,32.48,32.48,32.59,32.6,32.57,32.7,32.72,32.78,32.78,32.83 | +| runway | 67.41,67.45,67.39,67.37,67.41,67.36,67.31,67.29,67.27,67.23,67.2 | +| case | 48.06,48.12,48.12,48.2,48.13,48.3,48.21,48.38,48.25,48.4,48.42 | +| pool table | 91.35,91.35,91.37,91.42,91.4,91.42,91.46,91.44,91.48,91.48,91.49 | +| pillow | 59.52,59.54,59.6,59.57,59.59,59.62,59.59,59.56,59.63,59.58,59.6 | +| screen door | 67.37,67.45,67.59,67.47,67.7,67.81,67.93,67.73,67.91,67.78,67.85 | +| stairway | 24.32,24.41,24.43,24.46,24.55,24.56,24.53,24.56,24.62,24.62,24.6 | +| river | 11.64,11.65,11.65,11.65,11.65,11.64,11.66,11.65,11.66,11.66,11.67 | +| bridge | 31.62,31.68,31.61,31.7,31.67,31.71,31.7,31.69,31.69,31.74,31.69 | +| bookcase | 44.34,44.46,44.5,44.61,44.73,44.78,44.82,45.02,44.97,45.21,45.26 | +| blind | 38.15,38.22,38.38,38.46,38.65,38.76,38.86,38.93,39.12,39.22,39.38 | +| coffee table | 53.39,53.4,53.36,53.37,53.3,53.31,53.21,53.18,53.13,53.05,52.99 | +| toilet | 82.93,82.9,82.9,82.9,82.91,82.97,82.93,82.94,82.96,82.97,82.99 | +| flower | 38.17,38.16,38.17,38.24,38.19,38.28,38.28,38.33,38.36,38.35,38.36 | +| book | 44.44,44.45,44.44,44.52,44.51,44.42,44.41,44.53,44.54,44.49,44.52 | +| hill | 14.31,14.29,14.36,14.3,14.48,14.32,14.38,14.34,14.35,14.28,14.31 | +| bench | 42.58,42.58,42.64,42.67,42.6,42.7,42.56,42.56,42.65,42.48,42.5 | +| countertop | 54.4,54.42,54.54,54.46,54.47,54.45,54.49,54.6,54.59,54.65,54.69 | +| stove | 69.51,69.47,69.51,69.48,69.48,69.48,69.51,69.42,69.5,69.41,69.43 | +| palm | 48.81,48.72,48.73,48.72,48.69,48.68,48.69,48.38,48.59,48.49,48.45 | +| kitchen island | 39.89,39.88,40.01,40.22,40.35,40.6,40.74,40.8,41.07,41.02,41.1 | +| computer | 59.73,59.78,59.83,59.86,59.87,59.94,59.96,60.01,59.96,60.0,60.04 | +| swivel chair | 43.34,43.3,43.22,43.18,43.17,43.23,43.31,43.14,43.25,43.01,42.96 | +| boat | 71.63,71.53,71.54,71.38,71.4,71.33,71.23,71.11,71.09,70.98,70.88 | +| bar | 23.57,23.53,23.53,23.52,23.54,23.53,23.54,23.49,23.53,23.55,23.54 | +| arcade machine | 68.09,68.33,68.71,68.77,68.61,69.01,69.42,69.17,69.49,69.64,69.81 | +| hovel | 29.3,29.2,29.18,28.88,28.98,28.89,28.78,28.6,28.59,28.79,28.78 | +| bus | 77.87,77.83,77.88,77.84,77.83,77.7,77.6,77.65,77.75,77.61,77.57 | +| towel | 62.65,62.6,62.56,62.61,62.53,62.54,62.54,62.43,62.42,62.32,62.35 | +| light | 53.85,53.94,53.94,53.86,53.86,53.81,53.82,53.73,53.72,53.63,53.52 | +| truck | 16.5,16.55,16.29,16.35,16.47,16.3,16.23,16.25,16.19,16.39,16.32 | +| tower | 8.78,8.81,8.86,8.86,8.77,8.81,8.82,8.8,8.83,8.78,8.74 | +| chandelier | 63.23,63.32,63.31,63.42,63.42,63.46,63.47,63.58,63.52,63.56,63.58 | +| awning | 23.62,23.75,23.73,23.78,23.91,23.96,23.95,24.03,24.08,24.06,24.15 | +| streetlight | 25.29,25.31,25.27,25.3,25.34,25.33,25.42,25.36,25.4,25.38,25.4 | +| booth | 41.58,42.09,42.1,42.39,42.35,42.71,42.67,43.0,43.24,43.46,43.74 | +| television receiver | 63.09,63.1,63.1,63.12,63.19,63.31,63.28,63.35,63.39,63.47,63.58 | +| airplane | 57.34,57.38,57.4,57.44,57.45,57.48,57.51,57.51,57.57,57.58,57.59 | +| dirt track | 19.76,19.69,19.82,19.93,19.92,19.92,19.96,19.89,20.05,19.91,19.88 | +| apparel | 33.99,34.18,34.1,34.11,34.1,34.11,34.31,34.27,34.41,34.21,34.31 | +| pole | 17.53,17.59,17.64,17.66,17.68,17.61,17.65,17.49,17.53,17.5,17.47 | +| land | 3.48,3.5,3.5,3.56,3.49,3.52,3.55,3.43,3.51,3.48,3.45 | +| bannister | 10.75,10.75,10.77,10.79,10.78,10.85,10.81,10.76,10.85,10.73,10.79 | +| escalator | 23.12,23.21,23.23,23.23,23.34,23.31,23.55,23.39,23.67,23.45,23.49 | +| ottoman | 43.06,43.07,42.85,43.14,42.59,43.05,42.62,42.83,42.66,42.73,42.67 | +| bottle | 34.71,34.65,34.64,34.71,34.62,34.63,34.59,34.46,34.51,34.4,34.43 | +| buffet | 37.7,37.84,38.1,38.17,38.23,38.5,38.57,38.73,39.08,38.98,38.97 | +| poster | 23.72,23.68,23.76,23.6,23.68,23.49,23.62,23.39,23.53,23.31,23.39 | +| stage | 13.29,13.21,13.27,13.31,13.36,13.37,13.38,13.55,13.63,13.76,13.82 | +| van | 38.05,37.87,38.08,38.12,38.12,38.1,38.11,38.07,38.15,38.17,38.15 | +| ship | 79.19,79.23,79.33,79.44,79.49,79.7,79.86,79.93,79.88,79.85,79.8 | +| fountain | 20.55,20.67,20.78,20.92,21.06,21.18,21.32,21.62,21.65,21.82,21.88 | +| conveyer belt | 83.8,83.92,83.93,83.97,83.93,84.02,83.95,83.94,83.89,83.97,83.93 | +| canopy | 24.43,24.58,24.69,24.68,24.87,24.88,24.95,25.27,25.07,25.47,25.44 | +| washer | 75.43,75.64,75.93,76.14,76.35,76.43,76.59,76.77,76.8,77.12,77.27 | +| plaything | 22.1,22.07,21.94,21.94,21.83,21.83,21.74,21.75,21.61,21.55,21.49 | +| swimming pool | 73.47,73.62,73.76,73.88,74.09,74.23,74.18,74.43,74.34,74.47,74.5 | +| stool | 43.91,44.03,43.99,44.14,44.04,44.07,43.99,44.07,44.01,44.02,44.07 | +| barrel | 46.0,46.54,45.26,44.85,45.59,44.79,44.1,44.78,44.97,43.69,43.36 | +| basket | 24.03,23.98,23.94,23.96,23.99,23.96,23.97,23.95,23.91,24.02,24.02 | +| waterfall | 48.82,48.94,49.01,49.06,49.17,49.22,49.25,49.35,49.39,49.43,49.53 | +| tent | 94.66,94.63,94.58,94.58,94.58,94.57,94.55,94.52,94.53,94.53,94.49 | +| bag | 16.35,16.23,16.18,16.22,16.24,16.24,16.31,16.13,16.22,16.13,16.16 | +| minibike | 62.67,62.7,62.66,62.78,62.77,62.69,62.79,62.81,62.82,62.82,62.78 | +| cradle | 82.84,82.87,82.84,82.94,82.9,82.93,83.02,83.05,83.02,83.1,83.12 | +| oven | 48.02,48.08,47.98,48.08,48.0,48.09,48.1,48.14,48.0,48.08,48.01 | +| ball | 46.92,46.99,47.08,47.0,47.1,46.98,47.11,46.77,46.78,47.08,46.97 | +| food | 52.16,52.16,52.38,52.37,52.4,52.45,52.55,52.53,52.61,52.72,52.69 | +| step | 6.88,6.93,6.76,6.89,6.72,6.74,6.83,6.9,6.93,6.93,6.94 | +| tank | 48.55,48.58,48.7,48.78,48.68,48.76,48.78,48.8,48.81,48.84,48.87 | +| trade name | 28.31,28.29,28.32,28.23,28.26,28.28,28.29,28.26,28.25,28.16,28.17 | +| microwave | 74.55,74.77,74.76,74.9,74.89,75.04,75.16,75.17,75.06,75.29,75.26 | +| pot | 29.58,29.63,29.64,29.53,29.66,29.66,29.63,29.65,29.7,29.74,29.76 | +| animal | 55.21,55.19,55.13,55.14,55.13,55.04,55.04,54.95,54.91,54.81,54.79 | +| bicycle | 53.84,53.86,53.88,53.95,53.92,54.04,53.99,54.08,54.07,54.19,54.14 | +| lake | 57.25,57.24,57.25,57.23,57.2,57.2,57.16,57.16,57.14,57.1,57.08 | +| dishwasher | 63.33,63.26,63.15,63.04,63.19,63.01,62.9,62.93,62.95,62.67,62.67 | +| screen | 68.66,68.3,67.99,67.7,67.8,67.48,67.75,67.49,67.82,67.48,67.55 | +| blanket | 17.07,17.07,16.98,17.02,16.96,16.92,16.89,16.89,16.7,16.72,16.69 | +| sculpture | 58.1,58.05,57.94,57.96,57.93,57.73,57.57,57.52,57.6,57.29,57.23 | +| hood | 57.19,57.14,57.17,57.15,57.21,57.2,56.94,57.07,56.96,56.95,56.87 | +| sconce | 41.68,41.71,41.76,41.77,41.8,41.98,42.24,41.88,42.11,41.88,41.84 | +| vase | 36.18,36.04,35.95,36.07,35.94,35.98,35.99,35.86,35.92,35.81,35.78 | +| traffic light | 32.66,32.76,32.77,32.85,32.9,32.84,32.91,32.96,33.0,33.0,33.02 | +| tray | 5.66,5.69,5.81,5.82,5.79,5.85,5.93,5.93,5.96,6.09,6.11 | +| ashcan | 41.5,41.52,41.62,41.64,41.6,41.65,41.69,41.55,41.62,41.63,41.64 | +| fan | 56.4,56.45,56.42,56.47,56.37,56.4,56.48,56.46,56.51,56.54,56.47 | +| pier | 51.18,51.3,51.14,51.65,51.16,51.48,51.25,51.1,51.15,51.05,51.1 | +| crt screen | 9.46,9.41,9.52,9.45,9.55,9.54,9.49,9.51,9.52,9.59,9.59 | +| plate | 50.44,50.49,50.53,50.49,50.54,50.64,50.63,50.68,50.67,50.77,50.78 | +| monitor | 17.74,17.77,17.52,17.37,17.42,17.25,17.15,16.96,16.99,16.71,16.64 | +| bulletin board | 39.86,40.09,40.01,40.14,40.32,40.52,41.13,41.17,41.69,42.37,42.56 | +| shower | 1.04,1.03,1.07,1.15,1.13,1.22,1.23,1.19,1.13,1.23,1.22 | +| radiator | 59.67,59.82,59.96,59.98,59.98,60.33,60.27,60.31,60.62,60.49,60.61 | +| glass | 12.6,12.54,12.55,12.53,12.5,12.46,12.42,12.37,12.35,12.32,12.29 | +| clock | 34.89,35.13,35.01,34.68,34.81,34.81,34.77,34.77,34.57,34.5,34.43 | +| flag | 36.87,36.85,36.95,36.86,36.77,36.93,37.0,37.09,36.94,37.06,37.12 | ++---------------------+-------------------------------------------------------------------+ +2023-03-04 02:12:44,644 - mmseg - INFO - Summary: +2023-03-04 02:12:44,644 - mmseg - INFO - ++-------------------------------------------------------------------+ +| mIoU 0,5,10,15,20,25,30,35,40,45,49 | ++-------------------------------------------------------------------+ +| 48.06,48.09,48.09,48.11,48.12,48.14,48.15,48.15,48.18,48.17,48.18 | ++-------------------------------------------------------------------+ +2023-03-04 02:12:45,539 - mmseg - INFO - Now best checkpoint is saved as best_mIoU_iter_16000.pth. +2023-03-04 02:12:45,539 - mmseg - INFO - Best mIoU is 0.4818 at 16000 iter. +2023-03-04 02:12:45,539 - mmseg - INFO - Exp name: ablation_segformer_mit_b2_segformer_head_unet_fc_small_multi_step_ade_pretrained_freeze_embed_160k_ade20k151_finetune_ema_t50.py +2023-03-04 02:12:45,540 - mmseg - INFO - Iter(val) [250] mIoU: [0.4806, 0.4809, 0.4809, 0.4811, 0.4812, 0.4814, 0.4815, 0.4815, 0.4818, 0.4817, 0.4818], copy_paste: 48.06,48.09,48.09,48.11,48.12,48.14,48.15,48.15,48.18,48.17,48.18 +2023-03-04 02:12:45,546 - mmseg - INFO - Swap parameters (before train) before iter [16001] +2023-03-04 02:12:55,347 - mmseg - INFO - Iter [16050/160000] lr: 1.500e-04, eta: 9:11:22, time: 10.812, data_time: 10.624, memory: 52540, decode.loss_ce: 0.2139, decode.acc_seg: 91.2168, loss: 0.2139 +2023-03-04 02:13:05,044 - mmseg - INFO - Iter [16100/160000] lr: 1.500e-04, eta: 9:10:54, time: 0.194, data_time: 0.007, memory: 52540, decode.loss_ce: 0.2103, decode.acc_seg: 91.3657, loss: 0.2103 +2023-03-04 02:13:14,890 - mmseg - INFO - Iter [16150/160000] lr: 1.500e-04, eta: 9:10:28, time: 0.197, data_time: 0.007, memory: 52540, decode.loss_ce: 0.2063, decode.acc_seg: 91.5561, loss: 0.2063 +2023-03-04 02:13:24,793 - mmseg - INFO - Iter [16200/160000] lr: 1.500e-04, eta: 9:10:02, time: 0.198, data_time: 0.007, memory: 52540, decode.loss_ce: 0.2070, decode.acc_seg: 91.4375, loss: 0.2070 +2023-03-04 02:13:34,641 - mmseg - INFO - Iter [16250/160000] lr: 1.500e-04, eta: 9:09:37, time: 0.197, data_time: 0.007, memory: 52540, decode.loss_ce: 0.2083, decode.acc_seg: 91.5412, loss: 0.2083 +2023-03-04 02:13:44,476 - mmseg - INFO - Iter [16300/160000] lr: 1.500e-04, eta: 9:09:11, time: 0.197, data_time: 0.007, memory: 52540, decode.loss_ce: 0.2109, decode.acc_seg: 91.3018, loss: 0.2109 +2023-03-04 02:13:54,209 - mmseg - INFO - Iter [16350/160000] lr: 1.500e-04, eta: 9:08:44, time: 0.195, data_time: 0.007, memory: 52540, decode.loss_ce: 0.2083, decode.acc_seg: 91.4330, loss: 0.2083 +2023-03-04 02:14:03,995 - mmseg - INFO - Iter [16400/160000] lr: 1.500e-04, eta: 9:08:18, time: 0.196, data_time: 0.007, memory: 52540, decode.loss_ce: 0.2141, decode.acc_seg: 91.2574, loss: 0.2141 +2023-03-04 02:14:16,112 - mmseg - INFO - Iter [16450/160000] lr: 1.500e-04, eta: 9:08:12, time: 0.242, data_time: 0.055, memory: 52540, decode.loss_ce: 0.2088, decode.acc_seg: 91.3378, loss: 0.2088 +2023-03-04 02:14:25,847 - mmseg - INFO - Iter [16500/160000] lr: 1.500e-04, eta: 9:07:46, time: 0.195, data_time: 0.007, memory: 52540, decode.loss_ce: 0.2083, decode.acc_seg: 91.5690, loss: 0.2083 +2023-03-04 02:14:35,545 - mmseg - INFO - Iter [16550/160000] lr: 1.500e-04, eta: 9:07:19, time: 0.194, data_time: 0.007, memory: 52540, decode.loss_ce: 0.2145, decode.acc_seg: 91.1538, loss: 0.2145 +2023-03-04 02:14:45,276 - mmseg - INFO - Iter [16600/160000] lr: 1.500e-04, eta: 9:06:53, time: 0.195, data_time: 0.007, memory: 52540, decode.loss_ce: 0.2039, decode.acc_seg: 91.5197, loss: 0.2039 +2023-03-04 02:14:55,035 - mmseg - INFO - Iter [16650/160000] lr: 1.500e-04, eta: 9:06:27, time: 0.195, data_time: 0.007, memory: 52540, decode.loss_ce: 0.2126, decode.acc_seg: 91.4432, loss: 0.2126 +2023-03-04 02:15:04,944 - mmseg - INFO - Iter [16700/160000] lr: 1.500e-04, eta: 9:06:02, time: 0.198, data_time: 0.007, memory: 52540, decode.loss_ce: 0.2121, decode.acc_seg: 91.5056, loss: 0.2121 +2023-03-04 02:15:14,586 - mmseg - INFO - Iter [16750/160000] lr: 1.500e-04, eta: 9:05:36, time: 0.193, data_time: 0.007, memory: 52540, decode.loss_ce: 0.2084, decode.acc_seg: 91.4272, loss: 0.2084 +2023-03-04 02:15:24,171 - mmseg - INFO - Iter [16800/160000] lr: 1.500e-04, eta: 9:05:09, time: 0.192, data_time: 0.007, memory: 52540, decode.loss_ce: 0.2168, decode.acc_seg: 91.2753, loss: 0.2168 +2023-03-04 02:15:33,847 - mmseg - INFO - Iter [16850/160000] lr: 1.500e-04, eta: 9:04:42, time: 0.194, data_time: 0.007, memory: 52540, decode.loss_ce: 0.2141, decode.acc_seg: 91.2034, loss: 0.2141 +2023-03-04 02:15:43,458 - mmseg - INFO - Iter [16900/160000] lr: 1.500e-04, eta: 9:04:16, time: 0.192, data_time: 0.007, memory: 52540, decode.loss_ce: 0.2053, decode.acc_seg: 91.4920, loss: 0.2053 +2023-03-04 02:15:52,952 - mmseg - INFO - Iter [16950/160000] lr: 1.500e-04, eta: 9:03:48, time: 0.190, data_time: 0.007, memory: 52540, decode.loss_ce: 0.2037, decode.acc_seg: 91.6913, loss: 0.2037 +2023-03-04 02:16:02,836 - mmseg - INFO - Exp name: ablation_segformer_mit_b2_segformer_head_unet_fc_small_multi_step_ade_pretrained_freeze_embed_160k_ade20k151_finetune_ema_t50.py +2023-03-04 02:16:02,837 - mmseg - INFO - Iter [17000/160000] lr: 1.500e-04, eta: 9:03:24, time: 0.198, data_time: 0.007, memory: 52540, decode.loss_ce: 0.2227, decode.acc_seg: 90.9839, loss: 0.2227 +2023-03-04 02:16:14,931 - mmseg - INFO - Iter [17050/160000] lr: 1.500e-04, eta: 9:03:18, time: 0.242, data_time: 0.056, memory: 52540, decode.loss_ce: 0.2039, decode.acc_seg: 91.6204, loss: 0.2039 +2023-03-04 02:16:24,611 - mmseg - INFO - Iter [17100/160000] lr: 1.500e-04, eta: 9:02:53, time: 0.194, data_time: 0.007, memory: 52540, decode.loss_ce: 0.2053, decode.acc_seg: 91.5823, loss: 0.2053 +2023-03-04 02:16:34,164 - mmseg - INFO - Iter [17150/160000] lr: 1.500e-04, eta: 9:02:26, time: 0.191, data_time: 0.007, memory: 52540, decode.loss_ce: 0.2140, decode.acc_seg: 91.3923, loss: 0.2140 +2023-03-04 02:16:43,844 - mmseg - INFO - Iter [17200/160000] lr: 1.500e-04, eta: 9:02:00, time: 0.194, data_time: 0.007, memory: 52540, decode.loss_ce: 0.2160, decode.acc_seg: 91.1844, loss: 0.2160 +2023-03-04 02:16:53,435 - mmseg - INFO - Iter [17250/160000] lr: 1.500e-04, eta: 9:01:34, time: 0.192, data_time: 0.008, memory: 52540, decode.loss_ce: 0.2171, decode.acc_seg: 91.2662, loss: 0.2171 +2023-03-04 02:17:02,924 - mmseg - INFO - Iter [17300/160000] lr: 1.500e-04, eta: 9:01:07, time: 0.190, data_time: 0.007, memory: 52540, decode.loss_ce: 0.2136, decode.acc_seg: 91.2061, loss: 0.2136 +2023-03-04 02:17:12,586 - mmseg - INFO - Iter [17350/160000] lr: 1.500e-04, eta: 9:00:41, time: 0.193, data_time: 0.007, memory: 52540, decode.loss_ce: 0.2099, decode.acc_seg: 91.4071, loss: 0.2099 +2023-03-04 02:17:22,597 - mmseg - INFO - Iter [17400/160000] lr: 1.500e-04, eta: 9:00:19, time: 0.200, data_time: 0.007, memory: 52540, decode.loss_ce: 0.2082, decode.acc_seg: 91.5604, loss: 0.2082 +2023-03-04 02:17:32,717 - mmseg - INFO - Iter [17450/160000] lr: 1.500e-04, eta: 8:59:57, time: 0.202, data_time: 0.008, memory: 52540, decode.loss_ce: 0.2148, decode.acc_seg: 91.4260, loss: 0.2148 +2023-03-04 02:17:42,292 - mmseg - INFO - Iter [17500/160000] lr: 1.500e-04, eta: 8:59:31, time: 0.191, data_time: 0.008, memory: 52540, decode.loss_ce: 0.2108, decode.acc_seg: 91.3081, loss: 0.2108 +2023-03-04 02:17:52,020 - mmseg - INFO - Iter [17550/160000] lr: 1.500e-04, eta: 8:59:07, time: 0.195, data_time: 0.007, memory: 52540, decode.loss_ce: 0.2161, decode.acc_seg: 91.2197, loss: 0.2161 +2023-03-04 02:18:01,515 - mmseg - INFO - Iter [17600/160000] lr: 1.500e-04, eta: 8:58:40, time: 0.190, data_time: 0.007, memory: 52540, decode.loss_ce: 0.2106, decode.acc_seg: 91.6571, loss: 0.2106 +2023-03-04 02:18:11,234 - mmseg - INFO - Iter [17650/160000] lr: 1.500e-04, eta: 8:58:16, time: 0.194, data_time: 0.007, memory: 52540, decode.loss_ce: 0.2065, decode.acc_seg: 91.5183, loss: 0.2065 +2023-03-04 02:18:23,688 - mmseg - INFO - Iter [17700/160000] lr: 1.500e-04, eta: 8:58:13, time: 0.249, data_time: 0.058, memory: 52540, decode.loss_ce: 0.2076, decode.acc_seg: 91.3597, loss: 0.2076 +2023-03-04 02:18:33,350 - mmseg - INFO - Iter [17750/160000] lr: 1.500e-04, eta: 8:57:49, time: 0.193, data_time: 0.007, memory: 52540, decode.loss_ce: 0.2052, decode.acc_seg: 91.5283, loss: 0.2052 +2023-03-04 02:18:43,262 - mmseg - INFO - Iter [17800/160000] lr: 1.500e-04, eta: 8:57:26, time: 0.198, data_time: 0.007, memory: 52540, decode.loss_ce: 0.2128, decode.acc_seg: 91.2962, loss: 0.2128 +2023-03-04 02:18:52,715 - mmseg - INFO - Iter [17850/160000] lr: 1.500e-04, eta: 8:56:59, time: 0.189, data_time: 0.007, memory: 52540, decode.loss_ce: 0.2171, decode.acc_seg: 91.2008, loss: 0.2171 +2023-03-04 02:19:02,343 - mmseg - INFO - Iter [17900/160000] lr: 1.500e-04, eta: 8:56:35, time: 0.193, data_time: 0.007, memory: 52540, decode.loss_ce: 0.2165, decode.acc_seg: 91.2664, loss: 0.2165 +2023-03-04 02:19:11,838 - mmseg - INFO - Iter [17950/160000] lr: 1.500e-04, eta: 8:56:09, time: 0.190, data_time: 0.007, memory: 52540, decode.loss_ce: 0.2062, decode.acc_seg: 91.5991, loss: 0.2062 +2023-03-04 02:19:21,914 - mmseg - INFO - Exp name: ablation_segformer_mit_b2_segformer_head_unet_fc_small_multi_step_ade_pretrained_freeze_embed_160k_ade20k151_finetune_ema_t50.py +2023-03-04 02:19:21,915 - mmseg - INFO - Iter [18000/160000] lr: 1.500e-04, eta: 8:55:48, time: 0.202, data_time: 0.007, memory: 52540, decode.loss_ce: 0.2141, decode.acc_seg: 91.2202, loss: 0.2141 +2023-03-04 02:19:31,461 - mmseg - INFO - Iter [18050/160000] lr: 1.500e-04, eta: 8:55:22, time: 0.191, data_time: 0.007, memory: 52540, decode.loss_ce: 0.2154, decode.acc_seg: 91.1783, loss: 0.2154 +2023-03-04 02:19:41,247 - mmseg - INFO - Iter [18100/160000] lr: 1.500e-04, eta: 8:54:59, time: 0.196, data_time: 0.007, memory: 52540, decode.loss_ce: 0.2046, decode.acc_seg: 91.4809, loss: 0.2046 +2023-03-04 02:19:50,903 - mmseg - INFO - Iter [18150/160000] lr: 1.500e-04, eta: 8:54:35, time: 0.193, data_time: 0.007, memory: 52540, decode.loss_ce: 0.2189, decode.acc_seg: 91.1642, loss: 0.2189 +2023-03-04 02:20:00,628 - mmseg - INFO - Iter [18200/160000] lr: 1.500e-04, eta: 8:54:11, time: 0.195, data_time: 0.007, memory: 52540, decode.loss_ce: 0.2125, decode.acc_seg: 91.3992, loss: 0.2125 +2023-03-04 02:20:10,251 - mmseg - INFO - Iter [18250/160000] lr: 1.500e-04, eta: 8:53:47, time: 0.192, data_time: 0.007, memory: 52540, decode.loss_ce: 0.2138, decode.acc_seg: 91.2759, loss: 0.2138 +2023-03-04 02:20:22,500 - mmseg - INFO - Iter [18300/160000] lr: 1.500e-04, eta: 8:53:43, time: 0.245, data_time: 0.056, memory: 52540, decode.loss_ce: 0.2011, decode.acc_seg: 91.6836, loss: 0.2011 +2023-03-04 02:20:32,433 - mmseg - INFO - Iter [18350/160000] lr: 1.500e-04, eta: 8:53:21, time: 0.199, data_time: 0.007, memory: 52540, decode.loss_ce: 0.2023, decode.acc_seg: 91.7006, loss: 0.2023 +2023-03-04 02:20:42,236 - mmseg - INFO - Iter [18400/160000] lr: 1.500e-04, eta: 8:52:58, time: 0.196, data_time: 0.007, memory: 52540, decode.loss_ce: 0.2161, decode.acc_seg: 91.2434, loss: 0.2161 +2023-03-04 02:20:51,990 - mmseg - INFO - Iter [18450/160000] lr: 1.500e-04, eta: 8:52:35, time: 0.195, data_time: 0.007, memory: 52540, decode.loss_ce: 0.2148, decode.acc_seg: 91.3548, loss: 0.2148 +2023-03-04 02:21:01,622 - mmseg - INFO - Iter [18500/160000] lr: 1.500e-04, eta: 8:52:11, time: 0.193, data_time: 0.007, memory: 52540, decode.loss_ce: 0.2054, decode.acc_seg: 91.6268, loss: 0.2054 +2023-03-04 02:21:11,296 - mmseg - INFO - Iter [18550/160000] lr: 1.500e-04, eta: 8:51:48, time: 0.193, data_time: 0.008, memory: 52540, decode.loss_ce: 0.2137, decode.acc_seg: 91.2960, loss: 0.2137 +2023-03-04 02:21:20,740 - mmseg - INFO - Iter [18600/160000] lr: 1.500e-04, eta: 8:51:22, time: 0.189, data_time: 0.007, memory: 52540, decode.loss_ce: 0.2051, decode.acc_seg: 91.6519, loss: 0.2051 +2023-03-04 02:21:30,565 - mmseg - INFO - Iter [18650/160000] lr: 1.500e-04, eta: 8:51:00, time: 0.196, data_time: 0.007, memory: 52540, decode.loss_ce: 0.2210, decode.acc_seg: 90.9130, loss: 0.2210 +2023-03-04 02:21:40,591 - mmseg - INFO - Iter [18700/160000] lr: 1.500e-04, eta: 8:50:39, time: 0.200, data_time: 0.008, memory: 52540, decode.loss_ce: 0.2092, decode.acc_seg: 91.5250, loss: 0.2092 +2023-03-04 02:21:50,221 - mmseg - INFO - Iter [18750/160000] lr: 1.500e-04, eta: 8:50:16, time: 0.193, data_time: 0.008, memory: 52540, decode.loss_ce: 0.2171, decode.acc_seg: 91.1203, loss: 0.2171 +2023-03-04 02:22:00,093 - mmseg - INFO - Iter [18800/160000] lr: 1.500e-04, eta: 8:49:54, time: 0.197, data_time: 0.007, memory: 52540, decode.loss_ce: 0.2138, decode.acc_seg: 91.2809, loss: 0.2138 +2023-03-04 02:22:09,776 - mmseg - INFO - Iter [18850/160000] lr: 1.500e-04, eta: 8:49:31, time: 0.194, data_time: 0.008, memory: 52540, decode.loss_ce: 0.2194, decode.acc_seg: 91.0960, loss: 0.2194 +2023-03-04 02:22:19,360 - mmseg - INFO - Iter [18900/160000] lr: 1.500e-04, eta: 8:49:07, time: 0.192, data_time: 0.008, memory: 52540, decode.loss_ce: 0.2030, decode.acc_seg: 91.6290, loss: 0.2030 +2023-03-04 02:22:31,842 - mmseg - INFO - Iter [18950/160000] lr: 1.500e-04, eta: 8:49:05, time: 0.250, data_time: 0.055, memory: 52540, decode.loss_ce: 0.2195, decode.acc_seg: 91.1921, loss: 0.2195 +2023-03-04 02:22:41,480 - mmseg - INFO - Exp name: ablation_segformer_mit_b2_segformer_head_unet_fc_small_multi_step_ade_pretrained_freeze_embed_160k_ade20k151_finetune_ema_t50.py +2023-03-04 02:22:41,480 - mmseg - INFO - Iter [19000/160000] lr: 1.500e-04, eta: 8:48:42, time: 0.193, data_time: 0.008, memory: 52540, decode.loss_ce: 0.2123, decode.acc_seg: 91.3004, loss: 0.2123 +2023-03-04 02:22:51,192 - mmseg - INFO - Iter [19050/160000] lr: 1.500e-04, eta: 8:48:19, time: 0.194, data_time: 0.007, memory: 52540, decode.loss_ce: 0.2047, decode.acc_seg: 91.5292, loss: 0.2047 +2023-03-04 02:23:00,935 - mmseg - INFO - Iter [19100/160000] lr: 1.500e-04, eta: 8:47:57, time: 0.195, data_time: 0.007, memory: 52540, decode.loss_ce: 0.2132, decode.acc_seg: 91.3597, loss: 0.2132 +2023-03-04 02:23:10,559 - mmseg - INFO - Iter [19150/160000] lr: 1.500e-04, eta: 8:47:34, time: 0.192, data_time: 0.007, memory: 52540, decode.loss_ce: 0.2224, decode.acc_seg: 91.0285, loss: 0.2224 +2023-03-04 02:23:20,189 - mmseg - INFO - Iter [19200/160000] lr: 1.500e-04, eta: 8:47:11, time: 0.193, data_time: 0.007, memory: 52540, decode.loss_ce: 0.2129, decode.acc_seg: 91.4011, loss: 0.2129 +2023-03-04 02:23:29,796 - mmseg - INFO - Iter [19250/160000] lr: 1.500e-04, eta: 8:46:48, time: 0.192, data_time: 0.007, memory: 52540, decode.loss_ce: 0.2052, decode.acc_seg: 91.7312, loss: 0.2052 +2023-03-04 02:23:39,507 - mmseg - INFO - Iter [19300/160000] lr: 1.500e-04, eta: 8:46:26, time: 0.194, data_time: 0.008, memory: 52540, decode.loss_ce: 0.2132, decode.acc_seg: 91.4376, loss: 0.2132 +2023-03-04 02:23:49,406 - mmseg - INFO - Iter [19350/160000] lr: 1.500e-04, eta: 8:46:05, time: 0.198, data_time: 0.007, memory: 52540, decode.loss_ce: 0.2053, decode.acc_seg: 91.6135, loss: 0.2053 +2023-03-04 02:23:59,067 - mmseg - INFO - Iter [19400/160000] lr: 1.500e-04, eta: 8:45:42, time: 0.193, data_time: 0.007, memory: 52540, decode.loss_ce: 0.2115, decode.acc_seg: 91.3343, loss: 0.2115 +2023-03-04 02:24:08,666 - mmseg - INFO - Iter [19450/160000] lr: 1.500e-04, eta: 8:45:19, time: 0.192, data_time: 0.007, memory: 52540, decode.loss_ce: 0.2137, decode.acc_seg: 91.2632, loss: 0.2137 +2023-03-04 02:24:18,341 - mmseg - INFO - Iter [19500/160000] lr: 1.500e-04, eta: 8:44:57, time: 0.193, data_time: 0.008, memory: 52540, decode.loss_ce: 0.2081, decode.acc_seg: 91.5199, loss: 0.2081 +2023-03-04 02:24:28,020 - mmseg - INFO - Iter [19550/160000] lr: 1.500e-04, eta: 8:44:35, time: 0.194, data_time: 0.007, memory: 52540, decode.loss_ce: 0.2182, decode.acc_seg: 91.1488, loss: 0.2182 +2023-03-04 02:24:40,092 - mmseg - INFO - Iter [19600/160000] lr: 1.500e-04, eta: 8:44:30, time: 0.241, data_time: 0.057, memory: 52540, decode.loss_ce: 0.2097, decode.acc_seg: 91.4806, loss: 0.2097 +2023-03-04 02:24:49,787 - mmseg - INFO - Iter [19650/160000] lr: 1.500e-04, eta: 8:44:08, time: 0.194, data_time: 0.007, memory: 52540, decode.loss_ce: 0.2153, decode.acc_seg: 91.2272, loss: 0.2153 +2023-03-04 02:24:59,360 - mmseg - INFO - Iter [19700/160000] lr: 1.500e-04, eta: 8:43:45, time: 0.191, data_time: 0.007, memory: 52540, decode.loss_ce: 0.2088, decode.acc_seg: 91.4121, loss: 0.2088 +2023-03-04 02:25:09,250 - mmseg - INFO - Iter [19750/160000] lr: 1.500e-04, eta: 8:43:24, time: 0.198, data_time: 0.008, memory: 52540, decode.loss_ce: 0.2122, decode.acc_seg: 91.5123, loss: 0.2122 +2023-03-04 02:25:19,021 - mmseg - INFO - Iter [19800/160000] lr: 1.500e-04, eta: 8:43:03, time: 0.195, data_time: 0.007, memory: 52540, decode.loss_ce: 0.2164, decode.acc_seg: 91.3241, loss: 0.2164 +2023-03-04 02:25:28,543 - mmseg - INFO - Iter [19850/160000] lr: 1.500e-04, eta: 8:42:40, time: 0.190, data_time: 0.008, memory: 52540, decode.loss_ce: 0.2130, decode.acc_seg: 91.3111, loss: 0.2130 +2023-03-04 02:25:38,128 - mmseg - INFO - Iter [19900/160000] lr: 1.500e-04, eta: 8:42:18, time: 0.192, data_time: 0.007, memory: 52540, decode.loss_ce: 0.2060, decode.acc_seg: 91.4618, loss: 0.2060 +2023-03-04 02:25:47,876 - mmseg - INFO - Iter [19950/160000] lr: 1.500e-04, eta: 8:41:56, time: 0.195, data_time: 0.007, memory: 52540, decode.loss_ce: 0.2140, decode.acc_seg: 91.1783, loss: 0.2140 +2023-03-04 02:25:57,333 - mmseg - INFO - Exp name: ablation_segformer_mit_b2_segformer_head_unet_fc_small_multi_step_ade_pretrained_freeze_embed_160k_ade20k151_finetune_ema_t50.py +2023-03-04 02:25:57,333 - mmseg - INFO - Iter [20000/160000] lr: 1.500e-04, eta: 8:41:33, time: 0.189, data_time: 0.007, memory: 52540, decode.loss_ce: 0.2162, decode.acc_seg: 91.1138, loss: 0.2162 +2023-03-04 02:26:06,828 - mmseg - INFO - Iter [20050/160000] lr: 1.500e-04, eta: 8:41:10, time: 0.190, data_time: 0.007, memory: 52540, decode.loss_ce: 0.2051, decode.acc_seg: 91.5418, loss: 0.2051 +2023-03-04 02:26:16,617 - mmseg - INFO - Iter [20100/160000] lr: 1.500e-04, eta: 8:40:49, time: 0.196, data_time: 0.007, memory: 52540, decode.loss_ce: 0.2074, decode.acc_seg: 91.5434, loss: 0.2074 +2023-03-04 02:26:26,321 - mmseg - INFO - Iter [20150/160000] lr: 1.500e-04, eta: 8:40:28, time: 0.194, data_time: 0.007, memory: 52540, decode.loss_ce: 0.2043, decode.acc_seg: 91.5183, loss: 0.2043 +2023-03-04 02:26:38,463 - mmseg - INFO - Iter [20200/160000] lr: 1.500e-04, eta: 8:40:24, time: 0.243, data_time: 0.055, memory: 52540, decode.loss_ce: 0.2165, decode.acc_seg: 91.3276, loss: 0.2165 +2023-03-04 02:26:48,040 - mmseg - INFO - Iter [20250/160000] lr: 1.500e-04, eta: 8:40:01, time: 0.191, data_time: 0.007, memory: 52540, decode.loss_ce: 0.2127, decode.acc_seg: 91.2547, loss: 0.2127 +2023-03-04 02:26:57,656 - mmseg - INFO - Iter [20300/160000] lr: 1.500e-04, eta: 8:39:40, time: 0.193, data_time: 0.007, memory: 52540, decode.loss_ce: 0.2181, decode.acc_seg: 91.1909, loss: 0.2181 +2023-03-04 02:27:07,414 - mmseg - INFO - Iter [20350/160000] lr: 1.500e-04, eta: 8:39:19, time: 0.195, data_time: 0.007, memory: 52540, decode.loss_ce: 0.2059, decode.acc_seg: 91.6402, loss: 0.2059 +2023-03-04 02:27:16,816 - mmseg - INFO - Iter [20400/160000] lr: 1.500e-04, eta: 8:38:56, time: 0.188, data_time: 0.007, memory: 52540, decode.loss_ce: 0.2138, decode.acc_seg: 91.2288, loss: 0.2138 +2023-03-04 02:27:26,275 - mmseg - INFO - Iter [20450/160000] lr: 1.500e-04, eta: 8:38:33, time: 0.189, data_time: 0.007, memory: 52540, decode.loss_ce: 0.2006, decode.acc_seg: 91.8077, loss: 0.2006 +2023-03-04 02:27:35,758 - mmseg - INFO - Iter [20500/160000] lr: 1.500e-04, eta: 8:38:11, time: 0.190, data_time: 0.007, memory: 52540, decode.loss_ce: 0.2169, decode.acc_seg: 91.3357, loss: 0.2169 +2023-03-04 02:27:45,272 - mmseg - INFO - Iter [20550/160000] lr: 1.500e-04, eta: 8:37:48, time: 0.190, data_time: 0.007, memory: 52540, decode.loss_ce: 0.2100, decode.acc_seg: 91.5549, loss: 0.2100 +2023-03-04 02:27:55,308 - mmseg - INFO - Iter [20600/160000] lr: 1.500e-04, eta: 8:37:30, time: 0.201, data_time: 0.008, memory: 52540, decode.loss_ce: 0.2047, decode.acc_seg: 91.5047, loss: 0.2047 +2023-03-04 02:28:04,733 - mmseg - INFO - Iter [20650/160000] lr: 1.500e-04, eta: 8:37:07, time: 0.189, data_time: 0.007, memory: 52540, decode.loss_ce: 0.2055, decode.acc_seg: 91.6894, loss: 0.2055 +2023-03-04 02:28:14,351 - mmseg - INFO - Iter [20700/160000] lr: 1.500e-04, eta: 8:36:46, time: 0.192, data_time: 0.007, memory: 52540, decode.loss_ce: 0.2184, decode.acc_seg: 91.1345, loss: 0.2184 +2023-03-04 02:28:23,971 - mmseg - INFO - Iter [20750/160000] lr: 1.500e-04, eta: 8:36:25, time: 0.193, data_time: 0.007, memory: 52540, decode.loss_ce: 0.2091, decode.acc_seg: 91.4925, loss: 0.2091 +2023-03-04 02:28:33,464 - mmseg - INFO - Iter [20800/160000] lr: 1.500e-04, eta: 8:36:02, time: 0.190, data_time: 0.007, memory: 52540, decode.loss_ce: 0.2078, decode.acc_seg: 91.5926, loss: 0.2078 +2023-03-04 02:28:45,605 - mmseg - INFO - Iter [20850/160000] lr: 1.500e-04, eta: 8:35:58, time: 0.243, data_time: 0.055, memory: 52540, decode.loss_ce: 0.2091, decode.acc_seg: 91.4513, loss: 0.2091 +2023-03-04 02:28:55,180 - mmseg - INFO - Iter [20900/160000] lr: 1.500e-04, eta: 8:35:37, time: 0.192, data_time: 0.008, memory: 52540, decode.loss_ce: 0.2077, decode.acc_seg: 91.5036, loss: 0.2077 +2023-03-04 02:29:04,774 - mmseg - INFO - Iter [20950/160000] lr: 1.500e-04, eta: 8:35:15, time: 0.192, data_time: 0.007, memory: 52540, decode.loss_ce: 0.2116, decode.acc_seg: 91.4402, loss: 0.2116 +2023-03-04 02:29:14,421 - mmseg - INFO - Exp name: ablation_segformer_mit_b2_segformer_head_unet_fc_small_multi_step_ade_pretrained_freeze_embed_160k_ade20k151_finetune_ema_t50.py +2023-03-04 02:29:14,422 - mmseg - INFO - Iter [21000/160000] lr: 1.500e-04, eta: 8:34:55, time: 0.193, data_time: 0.008, memory: 52540, decode.loss_ce: 0.2091, decode.acc_seg: 91.3970, loss: 0.2091 +2023-03-04 02:29:24,074 - mmseg - INFO - Iter [21050/160000] lr: 1.500e-04, eta: 8:34:34, time: 0.193, data_time: 0.007, memory: 52540, decode.loss_ce: 0.2031, decode.acc_seg: 91.6885, loss: 0.2031 +2023-03-04 02:29:33,540 - mmseg - INFO - Iter [21100/160000] lr: 1.500e-04, eta: 8:34:12, time: 0.189, data_time: 0.007, memory: 52540, decode.loss_ce: 0.2089, decode.acc_seg: 91.3803, loss: 0.2089 +2023-03-04 02:29:43,340 - mmseg - INFO - Iter [21150/160000] lr: 1.500e-04, eta: 8:33:52, time: 0.196, data_time: 0.007, memory: 52540, decode.loss_ce: 0.2197, decode.acc_seg: 91.1785, loss: 0.2197 +2023-03-04 02:29:52,853 - mmseg - INFO - Iter [21200/160000] lr: 1.500e-04, eta: 8:33:31, time: 0.190, data_time: 0.007, memory: 52540, decode.loss_ce: 0.2148, decode.acc_seg: 91.2630, loss: 0.2148 +2023-03-04 02:30:02,294 - mmseg - INFO - Iter [21250/160000] lr: 1.500e-04, eta: 8:33:09, time: 0.189, data_time: 0.007, memory: 52540, decode.loss_ce: 0.2174, decode.acc_seg: 91.2521, loss: 0.2174 +2023-03-04 02:30:11,866 - mmseg - INFO - Iter [21300/160000] lr: 1.500e-04, eta: 8:32:48, time: 0.191, data_time: 0.007, memory: 52540, decode.loss_ce: 0.2124, decode.acc_seg: 91.4437, loss: 0.2124 +2023-03-04 02:30:21,597 - mmseg - INFO - Iter [21350/160000] lr: 1.500e-04, eta: 8:32:28, time: 0.195, data_time: 0.007, memory: 52540, decode.loss_ce: 0.2101, decode.acc_seg: 91.4123, loss: 0.2101 +2023-03-04 02:30:31,149 - mmseg - INFO - Iter [21400/160000] lr: 1.500e-04, eta: 8:32:07, time: 0.191, data_time: 0.007, memory: 52540, decode.loss_ce: 0.2246, decode.acc_seg: 90.9440, loss: 0.2246 +2023-03-04 02:30:40,596 - mmseg - INFO - Iter [21450/160000] lr: 1.500e-04, eta: 8:31:45, time: 0.189, data_time: 0.007, memory: 52540, decode.loss_ce: 0.2102, decode.acc_seg: 91.4621, loss: 0.2102 +2023-03-04 02:30:52,652 - mmseg - INFO - Iter [21500/160000] lr: 1.500e-04, eta: 8:31:40, time: 0.241, data_time: 0.054, memory: 52540, decode.loss_ce: 0.2140, decode.acc_seg: 91.2832, loss: 0.2140 +2023-03-04 02:31:02,340 - mmseg - INFO - Iter [21550/160000] lr: 1.500e-04, eta: 8:31:20, time: 0.194, data_time: 0.008, memory: 52540, decode.loss_ce: 0.2044, decode.acc_seg: 91.5719, loss: 0.2044 +2023-03-04 02:31:11,788 - mmseg - INFO - Iter [21600/160000] lr: 1.500e-04, eta: 8:30:59, time: 0.189, data_time: 0.007, memory: 52540, decode.loss_ce: 0.2075, decode.acc_seg: 91.4453, loss: 0.2075 +2023-03-04 02:31:21,605 - mmseg - INFO - Iter [21650/160000] lr: 1.500e-04, eta: 8:30:40, time: 0.196, data_time: 0.007, memory: 52540, decode.loss_ce: 0.2157, decode.acc_seg: 91.0933, loss: 0.2157 +2023-03-04 02:31:31,430 - mmseg - INFO - Iter [21700/160000] lr: 1.500e-04, eta: 8:30:21, time: 0.197, data_time: 0.007, memory: 52540, decode.loss_ce: 0.2074, decode.acc_seg: 91.5774, loss: 0.2074 +2023-03-04 02:31:41,098 - mmseg - INFO - Iter [21750/160000] lr: 1.500e-04, eta: 8:30:01, time: 0.193, data_time: 0.007, memory: 52540, decode.loss_ce: 0.2110, decode.acc_seg: 91.2856, loss: 0.2110 +2023-03-04 02:31:50,559 - mmseg - INFO - Iter [21800/160000] lr: 1.500e-04, eta: 8:29:39, time: 0.189, data_time: 0.007, memory: 52540, decode.loss_ce: 0.2074, decode.acc_seg: 91.4980, loss: 0.2074 +2023-03-04 02:32:00,057 - mmseg - INFO - Iter [21850/160000] lr: 1.500e-04, eta: 8:29:18, time: 0.190, data_time: 0.007, memory: 52540, decode.loss_ce: 0.2087, decode.acc_seg: 91.4731, loss: 0.2087 +2023-03-04 02:32:09,900 - mmseg - INFO - Iter [21900/160000] lr: 1.500e-04, eta: 8:29:00, time: 0.197, data_time: 0.007, memory: 52540, decode.loss_ce: 0.2086, decode.acc_seg: 91.4033, loss: 0.2086 +2023-03-04 02:32:19,541 - mmseg - INFO - Iter [21950/160000] lr: 1.500e-04, eta: 8:28:40, time: 0.193, data_time: 0.007, memory: 52540, decode.loss_ce: 0.2100, decode.acc_seg: 91.5441, loss: 0.2100 +2023-03-04 02:32:28,981 - mmseg - INFO - Exp name: ablation_segformer_mit_b2_segformer_head_unet_fc_small_multi_step_ade_pretrained_freeze_embed_160k_ade20k151_finetune_ema_t50.py +2023-03-04 02:32:28,981 - mmseg - INFO - Iter [22000/160000] lr: 1.500e-04, eta: 8:28:18, time: 0.189, data_time: 0.007, memory: 52540, decode.loss_ce: 0.2085, decode.acc_seg: 91.5393, loss: 0.2085 +2023-03-04 02:32:38,816 - mmseg - INFO - Iter [22050/160000] lr: 1.500e-04, eta: 8:28:00, time: 0.197, data_time: 0.007, memory: 52540, decode.loss_ce: 0.2091, decode.acc_seg: 91.5441, loss: 0.2091 +2023-03-04 02:32:51,106 - mmseg - INFO - Iter [22100/160000] lr: 1.500e-04, eta: 8:27:57, time: 0.246, data_time: 0.053, memory: 52540, decode.loss_ce: 0.2110, decode.acc_seg: 91.3905, loss: 0.2110 +2023-03-04 02:33:00,559 - mmseg - INFO - Iter [22150/160000] lr: 1.500e-04, eta: 8:27:35, time: 0.189, data_time: 0.007, memory: 52540, decode.loss_ce: 0.2023, decode.acc_seg: 91.7475, loss: 0.2023 +2023-03-04 02:33:10,724 - mmseg - INFO - Iter [22200/160000] lr: 1.500e-04, eta: 8:27:19, time: 0.204, data_time: 0.007, memory: 52540, decode.loss_ce: 0.2060, decode.acc_seg: 91.5295, loss: 0.2060 +2023-03-04 02:33:20,337 - mmseg - INFO - Iter [22250/160000] lr: 1.500e-04, eta: 8:26:59, time: 0.192, data_time: 0.007, memory: 52540, decode.loss_ce: 0.2134, decode.acc_seg: 91.4064, loss: 0.2134 +2023-03-04 02:33:29,807 - mmseg - INFO - Iter [22300/160000] lr: 1.500e-04, eta: 8:26:38, time: 0.189, data_time: 0.007, memory: 52540, decode.loss_ce: 0.2017, decode.acc_seg: 91.6785, loss: 0.2017 +2023-03-04 02:33:39,183 - mmseg - INFO - Iter [22350/160000] lr: 1.500e-04, eta: 8:26:17, time: 0.188, data_time: 0.007, memory: 52540, decode.loss_ce: 0.2127, decode.acc_seg: 91.4225, loss: 0.2127 +2023-03-04 02:33:48,795 - mmseg - INFO - Iter [22400/160000] lr: 1.500e-04, eta: 8:25:57, time: 0.192, data_time: 0.007, memory: 52540, decode.loss_ce: 0.2059, decode.acc_seg: 91.6296, loss: 0.2059 +2023-03-04 02:33:58,622 - mmseg - INFO - Iter [22450/160000] lr: 1.500e-04, eta: 8:25:39, time: 0.197, data_time: 0.007, memory: 52540, decode.loss_ce: 0.2051, decode.acc_seg: 91.6183, loss: 0.2051 +2023-03-04 02:34:08,041 - mmseg - INFO - Iter [22500/160000] lr: 1.500e-04, eta: 8:25:18, time: 0.188, data_time: 0.007, memory: 52540, decode.loss_ce: 0.2164, decode.acc_seg: 91.3203, loss: 0.2164 +2023-03-04 02:34:18,255 - mmseg - INFO - Iter [22550/160000] lr: 1.500e-04, eta: 8:25:02, time: 0.204, data_time: 0.007, memory: 52540, decode.loss_ce: 0.2128, decode.acc_seg: 91.3463, loss: 0.2128 +2023-03-04 02:34:27,954 - mmseg - INFO - Iter [22600/160000] lr: 1.500e-04, eta: 8:24:43, time: 0.194, data_time: 0.008, memory: 52540, decode.loss_ce: 0.2168, decode.acc_seg: 91.1275, loss: 0.2168 +2023-03-04 02:34:37,477 - mmseg - INFO - Iter [22650/160000] lr: 1.500e-04, eta: 8:24:23, time: 0.190, data_time: 0.007, memory: 52540, decode.loss_ce: 0.2072, decode.acc_seg: 91.4980, loss: 0.2072 +2023-03-04 02:34:46,902 - mmseg - INFO - Iter [22700/160000] lr: 1.500e-04, eta: 8:24:02, time: 0.189, data_time: 0.007, memory: 52540, decode.loss_ce: 0.2133, decode.acc_seg: 91.2169, loss: 0.2133 +2023-03-04 02:34:58,997 - mmseg - INFO - Iter [22750/160000] lr: 1.500e-04, eta: 8:23:58, time: 0.242, data_time: 0.055, memory: 52540, decode.loss_ce: 0.2120, decode.acc_seg: 91.4528, loss: 0.2120 +2023-03-04 02:35:08,612 - mmseg - INFO - Iter [22800/160000] lr: 1.500e-04, eta: 8:23:38, time: 0.192, data_time: 0.007, memory: 52540, decode.loss_ce: 0.2094, decode.acc_seg: 91.2601, loss: 0.2094 +2023-03-04 02:35:18,512 - mmseg - INFO - Iter [22850/160000] lr: 1.500e-04, eta: 8:23:21, time: 0.198, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1999, decode.acc_seg: 91.8111, loss: 0.1999 +2023-03-04 02:35:28,007 - mmseg - INFO - Iter [22900/160000] lr: 1.500e-04, eta: 8:23:01, time: 0.190, data_time: 0.007, memory: 52540, decode.loss_ce: 0.2111, decode.acc_seg: 91.3495, loss: 0.2111 +2023-03-04 02:35:37,514 - mmseg - INFO - Iter [22950/160000] lr: 1.500e-04, eta: 8:22:41, time: 0.190, data_time: 0.007, memory: 52540, decode.loss_ce: 0.2120, decode.acc_seg: 91.4860, loss: 0.2120 +2023-03-04 02:35:47,414 - mmseg - INFO - Exp name: ablation_segformer_mit_b2_segformer_head_unet_fc_small_multi_step_ade_pretrained_freeze_embed_160k_ade20k151_finetune_ema_t50.py +2023-03-04 02:35:47,414 - mmseg - INFO - Iter [23000/160000] lr: 1.500e-04, eta: 8:22:23, time: 0.198, data_time: 0.007, memory: 52540, decode.loss_ce: 0.2086, decode.acc_seg: 91.5176, loss: 0.2086 +2023-03-04 02:35:56,833 - mmseg - INFO - Iter [23050/160000] lr: 1.500e-04, eta: 8:22:03, time: 0.188, data_time: 0.007, memory: 52540, decode.loss_ce: 0.2107, decode.acc_seg: 91.4138, loss: 0.2107 +2023-03-04 02:36:06,395 - mmseg - INFO - Iter [23100/160000] lr: 1.500e-04, eta: 8:21:43, time: 0.191, data_time: 0.007, memory: 52540, decode.loss_ce: 0.2192, decode.acc_seg: 91.2264, loss: 0.2192 +2023-03-04 02:36:15,964 - mmseg - INFO - Iter [23150/160000] lr: 1.500e-04, eta: 8:21:24, time: 0.191, data_time: 0.007, memory: 52540, decode.loss_ce: 0.2110, decode.acc_seg: 91.4525, loss: 0.2110 +2023-03-04 02:36:25,544 - mmseg - INFO - Iter [23200/160000] lr: 1.500e-04, eta: 8:21:04, time: 0.192, data_time: 0.007, memory: 52540, decode.loss_ce: 0.2058, decode.acc_seg: 91.4693, loss: 0.2058 +2023-03-04 02:36:35,116 - mmseg - INFO - Iter [23250/160000] lr: 1.500e-04, eta: 8:20:45, time: 0.191, data_time: 0.007, memory: 52540, decode.loss_ce: 0.2114, decode.acc_seg: 91.5177, loss: 0.2114 +2023-03-04 02:36:44,563 - mmseg - INFO - Iter [23300/160000] lr: 1.500e-04, eta: 8:20:25, time: 0.189, data_time: 0.007, memory: 52540, decode.loss_ce: 0.2098, decode.acc_seg: 91.3829, loss: 0.2098 +2023-03-04 02:36:56,522 - mmseg - INFO - Iter [23350/160000] lr: 1.500e-04, eta: 8:20:20, time: 0.239, data_time: 0.054, memory: 52540, decode.loss_ce: 0.2078, decode.acc_seg: 91.5315, loss: 0.2078 +2023-03-04 02:37:05,937 - mmseg - INFO - Iter [23400/160000] lr: 1.500e-04, eta: 8:20:00, time: 0.188, data_time: 0.007, memory: 52540, decode.loss_ce: 0.2091, decode.acc_seg: 91.5496, loss: 0.2091 +2023-03-04 02:37:15,647 - mmseg - INFO - Iter [23450/160000] lr: 1.500e-04, eta: 8:19:41, time: 0.194, data_time: 0.007, memory: 52540, decode.loss_ce: 0.2118, decode.acc_seg: 91.3785, loss: 0.2118 +2023-03-04 02:37:25,407 - mmseg - INFO - Iter [23500/160000] lr: 1.500e-04, eta: 8:19:23, time: 0.195, data_time: 0.007, memory: 52540, decode.loss_ce: 0.2107, decode.acc_seg: 91.4583, loss: 0.2107 +2023-03-04 02:37:34,894 - mmseg - INFO - Iter [23550/160000] lr: 1.500e-04, eta: 8:19:04, time: 0.190, data_time: 0.007, memory: 52540, decode.loss_ce: 0.2176, decode.acc_seg: 91.1320, loss: 0.2176 +2023-03-04 02:37:44,615 - mmseg - INFO - Iter [23600/160000] lr: 1.500e-04, eta: 8:18:45, time: 0.194, data_time: 0.007, memory: 52540, decode.loss_ce: 0.2106, decode.acc_seg: 91.5728, loss: 0.2106 +2023-03-04 02:37:54,063 - mmseg - INFO - Iter [23650/160000] lr: 1.500e-04, eta: 8:18:26, time: 0.189, data_time: 0.007, memory: 52540, decode.loss_ce: 0.2073, decode.acc_seg: 91.5542, loss: 0.2073 +2023-03-04 02:38:03,544 - mmseg - INFO - Iter [23700/160000] lr: 1.500e-04, eta: 8:18:06, time: 0.190, data_time: 0.007, memory: 52540, decode.loss_ce: 0.2030, decode.acc_seg: 91.6155, loss: 0.2030 +2023-03-04 02:38:13,041 - mmseg - INFO - Iter [23750/160000] lr: 1.500e-04, eta: 8:17:47, time: 0.190, data_time: 0.007, memory: 52540, decode.loss_ce: 0.2142, decode.acc_seg: 91.2670, loss: 0.2142 +2023-03-04 02:38:22,477 - mmseg - INFO - Iter [23800/160000] lr: 1.500e-04, eta: 8:17:27, time: 0.189, data_time: 0.007, memory: 52540, decode.loss_ce: 0.2132, decode.acc_seg: 91.3968, loss: 0.2132 +2023-03-04 02:38:32,022 - mmseg - INFO - Iter [23850/160000] lr: 1.500e-04, eta: 8:17:08, time: 0.191, data_time: 0.007, memory: 52540, decode.loss_ce: 0.2066, decode.acc_seg: 91.5121, loss: 0.2066 +2023-03-04 02:38:41,460 - mmseg - INFO - Iter [23900/160000] lr: 1.500e-04, eta: 8:16:48, time: 0.189, data_time: 0.007, memory: 52540, decode.loss_ce: 0.2098, decode.acc_seg: 91.4823, loss: 0.2098 +2023-03-04 02:38:50,937 - mmseg - INFO - Iter [23950/160000] lr: 1.500e-04, eta: 8:16:29, time: 0.190, data_time: 0.008, memory: 52540, decode.loss_ce: 0.2179, decode.acc_seg: 91.3358, loss: 0.2179 +2023-03-04 02:39:03,080 - mmseg - INFO - Exp name: ablation_segformer_mit_b2_segformer_head_unet_fc_small_multi_step_ade_pretrained_freeze_embed_160k_ade20k151_finetune_ema_t50.py +2023-03-04 02:39:03,080 - mmseg - INFO - Iter [24000/160000] lr: 1.500e-04, eta: 8:16:25, time: 0.243, data_time: 0.055, memory: 52540, decode.loss_ce: 0.2089, decode.acc_seg: 91.4366, loss: 0.2089 +2023-03-04 02:39:12,465 - mmseg - INFO - Iter [24050/160000] lr: 1.500e-04, eta: 8:16:05, time: 0.188, data_time: 0.008, memory: 52540, decode.loss_ce: 0.2152, decode.acc_seg: 91.3835, loss: 0.2152 +2023-03-04 02:39:21,960 - mmseg - INFO - Iter [24100/160000] lr: 1.500e-04, eta: 8:15:46, time: 0.190, data_time: 0.007, memory: 52540, decode.loss_ce: 0.2201, decode.acc_seg: 91.1370, loss: 0.2201 +2023-03-04 02:39:31,532 - mmseg - INFO - Iter [24150/160000] lr: 1.500e-04, eta: 8:15:27, time: 0.191, data_time: 0.007, memory: 52540, decode.loss_ce: 0.2018, decode.acc_seg: 91.7762, loss: 0.2018 +2023-03-04 02:39:41,062 - mmseg - INFO - Iter [24200/160000] lr: 1.500e-04, eta: 8:15:08, time: 0.191, data_time: 0.008, memory: 52540, decode.loss_ce: 0.2110, decode.acc_seg: 91.2828, loss: 0.2110 +2023-03-04 02:39:50,960 - mmseg - INFO - Iter [24250/160000] lr: 1.500e-04, eta: 8:14:52, time: 0.198, data_time: 0.008, memory: 52540, decode.loss_ce: 0.2099, decode.acc_seg: 91.5171, loss: 0.2099 +2023-03-04 02:40:00,463 - mmseg - INFO - Iter [24300/160000] lr: 1.500e-04, eta: 8:14:33, time: 0.190, data_time: 0.008, memory: 52540, decode.loss_ce: 0.2140, decode.acc_seg: 91.3253, loss: 0.2140 +2023-03-04 02:40:10,148 - mmseg - INFO - Iter [24350/160000] lr: 1.500e-04, eta: 8:14:15, time: 0.194, data_time: 0.008, memory: 52540, decode.loss_ce: 0.2079, decode.acc_seg: 91.5831, loss: 0.2079 +2023-03-04 02:40:19,992 - mmseg - INFO - Iter [24400/160000] lr: 1.500e-04, eta: 8:13:58, time: 0.197, data_time: 0.007, memory: 52540, decode.loss_ce: 0.2172, decode.acc_seg: 91.0892, loss: 0.2172 +2023-03-04 02:40:29,807 - mmseg - INFO - Iter [24450/160000] lr: 1.500e-04, eta: 8:13:41, time: 0.197, data_time: 0.008, memory: 52540, decode.loss_ce: 0.2034, decode.acc_seg: 91.6238, loss: 0.2034 +2023-03-04 02:40:39,736 - mmseg - INFO - Iter [24500/160000] lr: 1.500e-04, eta: 8:13:24, time: 0.199, data_time: 0.008, memory: 52540, decode.loss_ce: 0.2053, decode.acc_seg: 91.6402, loss: 0.2053 +2023-03-04 02:40:49,148 - mmseg - INFO - Iter [24550/160000] lr: 1.500e-04, eta: 8:13:05, time: 0.188, data_time: 0.007, memory: 52540, decode.loss_ce: 0.2137, decode.acc_seg: 91.2462, loss: 0.2137 +2023-03-04 02:40:58,685 - mmseg - INFO - Iter [24600/160000] lr: 1.500e-04, eta: 8:12:46, time: 0.191, data_time: 0.007, memory: 52540, decode.loss_ce: 0.2210, decode.acc_seg: 90.9249, loss: 0.2210 +2023-03-04 02:41:10,629 - mmseg - INFO - Iter [24650/160000] lr: 1.500e-04, eta: 8:12:41, time: 0.239, data_time: 0.054, memory: 52540, decode.loss_ce: 0.2067, decode.acc_seg: 91.6153, loss: 0.2067 +2023-03-04 02:41:20,274 - mmseg - INFO - Iter [24700/160000] lr: 1.500e-04, eta: 8:12:23, time: 0.193, data_time: 0.007, memory: 52540, decode.loss_ce: 0.2166, decode.acc_seg: 91.3287, loss: 0.2166 +2023-03-04 02:41:29,961 - mmseg - INFO - Iter [24750/160000] lr: 1.500e-04, eta: 8:12:06, time: 0.194, data_time: 0.007, memory: 52540, decode.loss_ce: 0.2076, decode.acc_seg: 91.5019, loss: 0.2076 +2023-03-04 02:41:39,678 - mmseg - INFO - Iter [24800/160000] lr: 1.500e-04, eta: 8:11:48, time: 0.194, data_time: 0.008, memory: 52540, decode.loss_ce: 0.2158, decode.acc_seg: 91.0918, loss: 0.2158 +2023-03-04 02:41:49,525 - mmseg - INFO - Iter [24850/160000] lr: 1.500e-04, eta: 8:11:31, time: 0.197, data_time: 0.007, memory: 52540, decode.loss_ce: 0.2152, decode.acc_seg: 91.2912, loss: 0.2152 +2023-03-04 02:41:59,505 - mmseg - INFO - Iter [24900/160000] lr: 1.500e-04, eta: 8:11:16, time: 0.200, data_time: 0.007, memory: 52540, decode.loss_ce: 0.2010, decode.acc_seg: 91.7798, loss: 0.2010 +2023-03-04 02:42:09,128 - mmseg - INFO - Iter [24950/160000] lr: 1.500e-04, eta: 8:10:58, time: 0.192, data_time: 0.008, memory: 52540, decode.loss_ce: 0.2054, decode.acc_seg: 91.5406, loss: 0.2054 +2023-03-04 02:42:18,706 - mmseg - INFO - Exp name: ablation_segformer_mit_b2_segformer_head_unet_fc_small_multi_step_ade_pretrained_freeze_embed_160k_ade20k151_finetune_ema_t50.py +2023-03-04 02:42:18,706 - mmseg - INFO - Iter [25000/160000] lr: 1.500e-04, eta: 8:10:40, time: 0.192, data_time: 0.008, memory: 52540, decode.loss_ce: 0.2161, decode.acc_seg: 91.2960, loss: 0.2161 +2023-03-04 02:42:28,366 - mmseg - INFO - Iter [25050/160000] lr: 1.500e-04, eta: 8:10:22, time: 0.193, data_time: 0.007, memory: 52540, decode.loss_ce: 0.2064, decode.acc_seg: 91.5478, loss: 0.2064 +2023-03-04 02:42:37,928 - mmseg - INFO - Iter [25100/160000] lr: 1.500e-04, eta: 8:10:04, time: 0.191, data_time: 0.008, memory: 52540, decode.loss_ce: 0.2073, decode.acc_seg: 91.4835, loss: 0.2073 +2023-03-04 02:42:47,466 - mmseg - INFO - Iter [25150/160000] lr: 1.500e-04, eta: 8:09:46, time: 0.191, data_time: 0.007, memory: 52540, decode.loss_ce: 0.2037, decode.acc_seg: 91.6847, loss: 0.2037 +2023-03-04 02:42:57,184 - mmseg - INFO - Iter [25200/160000] lr: 1.500e-04, eta: 8:09:28, time: 0.195, data_time: 0.008, memory: 52540, decode.loss_ce: 0.2123, decode.acc_seg: 91.3363, loss: 0.2123 +2023-03-04 02:43:09,366 - mmseg - INFO - Iter [25250/160000] lr: 1.500e-04, eta: 8:09:24, time: 0.244, data_time: 0.057, memory: 52540, decode.loss_ce: 0.1987, decode.acc_seg: 91.9159, loss: 0.1987 +2023-03-04 02:43:19,176 - mmseg - INFO - Iter [25300/160000] lr: 1.500e-04, eta: 8:09:08, time: 0.196, data_time: 0.007, memory: 52540, decode.loss_ce: 0.2004, decode.acc_seg: 91.8072, loss: 0.2004 +2023-03-04 02:43:28,720 - mmseg - INFO - Iter [25350/160000] lr: 1.500e-04, eta: 8:08:50, time: 0.191, data_time: 0.007, memory: 52540, decode.loss_ce: 0.2168, decode.acc_seg: 91.1982, loss: 0.2168 +2023-03-04 02:43:38,317 - mmseg - INFO - Iter [25400/160000] lr: 1.500e-04, eta: 8:08:32, time: 0.192, data_time: 0.007, memory: 52540, decode.loss_ce: 0.2137, decode.acc_seg: 91.1762, loss: 0.2137 +2023-03-04 02:43:48,159 - mmseg - INFO - Iter [25450/160000] lr: 1.500e-04, eta: 8:08:15, time: 0.197, data_time: 0.008, memory: 52540, decode.loss_ce: 0.2095, decode.acc_seg: 91.3924, loss: 0.2095 +2023-03-04 02:43:57,728 - mmseg - INFO - Iter [25500/160000] lr: 1.500e-04, eta: 8:07:58, time: 0.192, data_time: 0.007, memory: 52540, decode.loss_ce: 0.2146, decode.acc_seg: 91.1915, loss: 0.2146 +2023-03-04 02:44:07,160 - mmseg - INFO - Iter [25550/160000] lr: 1.500e-04, eta: 8:07:39, time: 0.189, data_time: 0.007, memory: 52540, decode.loss_ce: 0.2036, decode.acc_seg: 91.7133, loss: 0.2036 +2023-03-04 02:44:16,606 - mmseg - INFO - Iter [25600/160000] lr: 1.500e-04, eta: 8:07:21, time: 0.189, data_time: 0.007, memory: 52540, decode.loss_ce: 0.2170, decode.acc_seg: 91.1753, loss: 0.2170 +2023-03-04 02:44:26,254 - mmseg - INFO - Iter [25650/160000] lr: 1.500e-04, eta: 8:07:03, time: 0.193, data_time: 0.007, memory: 52540, decode.loss_ce: 0.2158, decode.acc_seg: 91.1819, loss: 0.2158 +2023-03-04 02:44:35,759 - mmseg - INFO - Iter [25700/160000] lr: 1.500e-04, eta: 8:06:45, time: 0.190, data_time: 0.007, memory: 52540, decode.loss_ce: 0.2095, decode.acc_seg: 91.5654, loss: 0.2095 +2023-03-04 02:44:45,302 - mmseg - INFO - Iter [25750/160000] lr: 1.500e-04, eta: 8:06:28, time: 0.191, data_time: 0.007, memory: 52540, decode.loss_ce: 0.2157, decode.acc_seg: 91.1547, loss: 0.2157 +2023-03-04 02:44:54,964 - mmseg - INFO - Iter [25800/160000] lr: 1.500e-04, eta: 8:06:10, time: 0.193, data_time: 0.007, memory: 52540, decode.loss_ce: 0.2035, decode.acc_seg: 91.5325, loss: 0.2035 +2023-03-04 02:45:04,498 - mmseg - INFO - Iter [25850/160000] lr: 1.500e-04, eta: 8:05:53, time: 0.191, data_time: 0.008, memory: 52540, decode.loss_ce: 0.2070, decode.acc_seg: 91.4894, loss: 0.2070 +2023-03-04 02:45:16,552 - mmseg - INFO - Iter [25900/160000] lr: 1.500e-04, eta: 8:05:48, time: 0.241, data_time: 0.055, memory: 52540, decode.loss_ce: 0.2014, decode.acc_seg: 91.7239, loss: 0.2014 +2023-03-04 02:45:25,997 - mmseg - INFO - Iter [25950/160000] lr: 1.500e-04, eta: 8:05:30, time: 0.189, data_time: 0.007, memory: 52540, decode.loss_ce: 0.2062, decode.acc_seg: 91.6388, loss: 0.2062 +2023-03-04 02:45:35,507 - mmseg - INFO - Exp name: ablation_segformer_mit_b2_segformer_head_unet_fc_small_multi_step_ade_pretrained_freeze_embed_160k_ade20k151_finetune_ema_t50.py +2023-03-04 02:45:35,508 - mmseg - INFO - Iter [26000/160000] lr: 1.500e-04, eta: 8:05:12, time: 0.190, data_time: 0.007, memory: 52540, decode.loss_ce: 0.2117, decode.acc_seg: 91.3728, loss: 0.2117 +2023-03-04 02:45:45,037 - mmseg - INFO - Iter [26050/160000] lr: 1.500e-04, eta: 8:04:54, time: 0.191, data_time: 0.007, memory: 52540, decode.loss_ce: 0.2056, decode.acc_seg: 91.5117, loss: 0.2056 +2023-03-04 02:45:54,940 - mmseg - INFO - Iter [26100/160000] lr: 1.500e-04, eta: 8:04:38, time: 0.198, data_time: 0.007, memory: 52540, decode.loss_ce: 0.2121, decode.acc_seg: 91.3101, loss: 0.2121 +2023-03-04 02:46:04,729 - mmseg - INFO - Iter [26150/160000] lr: 1.500e-04, eta: 8:04:22, time: 0.196, data_time: 0.007, memory: 52540, decode.loss_ce: 0.2149, decode.acc_seg: 91.2402, loss: 0.2149 +2023-03-04 02:46:14,471 - mmseg - INFO - Iter [26200/160000] lr: 1.500e-04, eta: 8:04:05, time: 0.195, data_time: 0.007, memory: 52540, decode.loss_ce: 0.2086, decode.acc_seg: 91.6397, loss: 0.2086 +2023-03-04 02:46:24,098 - mmseg - INFO - Iter [26250/160000] lr: 1.500e-04, eta: 8:03:48, time: 0.193, data_time: 0.008, memory: 52540, decode.loss_ce: 0.2130, decode.acc_seg: 91.3375, loss: 0.2130 +2023-03-04 02:46:33,901 - mmseg - INFO - Iter [26300/160000] lr: 1.500e-04, eta: 8:03:32, time: 0.196, data_time: 0.008, memory: 52540, decode.loss_ce: 0.2035, decode.acc_seg: 91.5783, loss: 0.2035 +2023-03-04 02:46:43,334 - mmseg - INFO - Iter [26350/160000] lr: 1.500e-04, eta: 8:03:14, time: 0.188, data_time: 0.007, memory: 52540, decode.loss_ce: 0.2133, decode.acc_seg: 91.2908, loss: 0.2133 +2023-03-04 02:46:53,056 - mmseg - INFO - Iter [26400/160000] lr: 1.500e-04, eta: 8:02:58, time: 0.195, data_time: 0.008, memory: 52540, decode.loss_ce: 0.2148, decode.acc_seg: 91.3025, loss: 0.2148 +2023-03-04 02:47:02,742 - mmseg - INFO - Iter [26450/160000] lr: 1.500e-04, eta: 8:02:41, time: 0.194, data_time: 0.007, memory: 52540, decode.loss_ce: 0.2054, decode.acc_seg: 91.5651, loss: 0.2054 +2023-03-04 02:47:12,263 - mmseg - INFO - Iter [26500/160000] lr: 1.500e-04, eta: 8:02:23, time: 0.190, data_time: 0.007, memory: 52540, decode.loss_ce: 0.2142, decode.acc_seg: 91.3183, loss: 0.2142 +2023-03-04 02:47:24,513 - mmseg - INFO - Iter [26550/160000] lr: 1.500e-04, eta: 8:02:20, time: 0.245, data_time: 0.055, memory: 52540, decode.loss_ce: 0.2052, decode.acc_seg: 91.5921, loss: 0.2052 +2023-03-04 02:47:34,070 - mmseg - INFO - Iter [26600/160000] lr: 1.500e-04, eta: 8:02:02, time: 0.191, data_time: 0.007, memory: 52540, decode.loss_ce: 0.2083, decode.acc_seg: 91.6037, loss: 0.2083 +2023-03-04 02:47:44,072 - mmseg - INFO - Iter [26650/160000] lr: 1.500e-04, eta: 8:01:47, time: 0.200, data_time: 0.008, memory: 52540, decode.loss_ce: 0.2024, decode.acc_seg: 91.6238, loss: 0.2024 +2023-03-04 02:47:53,591 - mmseg - INFO - Iter [26700/160000] lr: 1.500e-04, eta: 8:01:30, time: 0.190, data_time: 0.008, memory: 52540, decode.loss_ce: 0.2005, decode.acc_seg: 91.7205, loss: 0.2005 +2023-03-04 02:48:03,221 - mmseg - INFO - Iter [26750/160000] lr: 1.500e-04, eta: 8:01:13, time: 0.193, data_time: 0.008, memory: 52540, decode.loss_ce: 0.2098, decode.acc_seg: 91.4145, loss: 0.2098 +2023-03-04 02:48:12,960 - mmseg - INFO - Iter [26800/160000] lr: 1.500e-04, eta: 8:00:57, time: 0.195, data_time: 0.007, memory: 52540, decode.loss_ce: 0.2212, decode.acc_seg: 90.9460, loss: 0.2212 +2023-03-04 02:48:22,484 - mmseg - INFO - Iter [26850/160000] lr: 1.500e-04, eta: 8:00:39, time: 0.190, data_time: 0.007, memory: 52540, decode.loss_ce: 0.2091, decode.acc_seg: 91.3671, loss: 0.2091 +2023-03-04 02:48:32,171 - mmseg - INFO - Iter [26900/160000] lr: 1.500e-04, eta: 8:00:23, time: 0.194, data_time: 0.007, memory: 52540, decode.loss_ce: 0.2013, decode.acc_seg: 91.8880, loss: 0.2013 +2023-03-04 02:48:41,969 - mmseg - INFO - Iter [26950/160000] lr: 1.500e-04, eta: 8:00:07, time: 0.196, data_time: 0.007, memory: 52540, decode.loss_ce: 0.2197, decode.acc_seg: 91.0326, loss: 0.2197 +2023-03-04 02:48:51,583 - mmseg - INFO - Exp name: ablation_segformer_mit_b2_segformer_head_unet_fc_small_multi_step_ade_pretrained_freeze_embed_160k_ade20k151_finetune_ema_t50.py +2023-03-04 02:48:51,583 - mmseg - INFO - Iter [27000/160000] lr: 1.500e-04, eta: 7:59:50, time: 0.192, data_time: 0.007, memory: 52540, decode.loss_ce: 0.2038, decode.acc_seg: 91.6724, loss: 0.2038 +2023-03-04 02:49:00,976 - mmseg - INFO - Iter [27050/160000] lr: 1.500e-04, eta: 7:59:32, time: 0.188, data_time: 0.007, memory: 52540, decode.loss_ce: 0.2187, decode.acc_seg: 91.1304, loss: 0.2187 +2023-03-04 02:49:10,704 - mmseg - INFO - Iter [27100/160000] lr: 1.500e-04, eta: 7:59:16, time: 0.195, data_time: 0.007, memory: 52540, decode.loss_ce: 0.2066, decode.acc_seg: 91.4633, loss: 0.2066 +2023-03-04 02:49:22,780 - mmseg - INFO - Iter [27150/160000] lr: 1.500e-04, eta: 7:59:11, time: 0.241, data_time: 0.060, memory: 52540, decode.loss_ce: 0.2090, decode.acc_seg: 91.4847, loss: 0.2090 +2023-03-04 02:49:32,378 - mmseg - INFO - Iter [27200/160000] lr: 1.500e-04, eta: 7:58:55, time: 0.192, data_time: 0.007, memory: 52540, decode.loss_ce: 0.2188, decode.acc_seg: 91.1174, loss: 0.2188 +2023-03-04 02:49:42,038 - mmseg - INFO - Iter [27250/160000] lr: 1.500e-04, eta: 7:58:38, time: 0.193, data_time: 0.007, memory: 52540, decode.loss_ce: 0.2089, decode.acc_seg: 91.5147, loss: 0.2089 +2023-03-04 02:49:51,666 - mmseg - INFO - Iter [27300/160000] lr: 1.500e-04, eta: 7:58:22, time: 0.192, data_time: 0.007, memory: 52540, decode.loss_ce: 0.2062, decode.acc_seg: 91.4391, loss: 0.2062 +2023-03-04 02:50:01,249 - mmseg - INFO - Iter [27350/160000] lr: 1.500e-04, eta: 7:58:05, time: 0.192, data_time: 0.008, memory: 52540, decode.loss_ce: 0.2043, decode.acc_seg: 91.5143, loss: 0.2043 +2023-03-04 02:50:10,760 - mmseg - INFO - Iter [27400/160000] lr: 1.500e-04, eta: 7:57:48, time: 0.190, data_time: 0.008, memory: 52540, decode.loss_ce: 0.2003, decode.acc_seg: 91.8636, loss: 0.2003 +2023-03-04 02:50:20,175 - mmseg - INFO - Iter [27450/160000] lr: 1.500e-04, eta: 7:57:30, time: 0.188, data_time: 0.007, memory: 52540, decode.loss_ce: 0.2095, decode.acc_seg: 91.3867, loss: 0.2095 +2023-03-04 02:50:29,823 - mmseg - INFO - Iter [27500/160000] lr: 1.500e-04, eta: 7:57:14, time: 0.193, data_time: 0.008, memory: 52540, decode.loss_ce: 0.2098, decode.acc_seg: 91.4114, loss: 0.2098 +2023-03-04 02:50:39,382 - mmseg - INFO - Iter [27550/160000] lr: 1.500e-04, eta: 7:56:57, time: 0.191, data_time: 0.007, memory: 52540, decode.loss_ce: 0.2031, decode.acc_seg: 91.6847, loss: 0.2031 +2023-03-04 02:50:49,281 - mmseg - INFO - Iter [27600/160000] lr: 1.500e-04, eta: 7:56:42, time: 0.198, data_time: 0.007, memory: 52540, decode.loss_ce: 0.2062, decode.acc_seg: 91.6676, loss: 0.2062 +2023-03-04 02:50:58,815 - mmseg - INFO - Iter [27650/160000] lr: 1.500e-04, eta: 7:56:25, time: 0.191, data_time: 0.008, memory: 52540, decode.loss_ce: 0.2124, decode.acc_seg: 91.3521, loss: 0.2124 +2023-03-04 02:51:08,555 - mmseg - INFO - Iter [27700/160000] lr: 1.500e-04, eta: 7:56:09, time: 0.195, data_time: 0.008, memory: 52540, decode.loss_ce: 0.2144, decode.acc_seg: 91.3402, loss: 0.2144 +2023-03-04 02:51:18,095 - mmseg - INFO - Iter [27750/160000] lr: 1.500e-04, eta: 7:55:52, time: 0.191, data_time: 0.007, memory: 52540, decode.loss_ce: 0.2071, decode.acc_seg: 91.5176, loss: 0.2071 +2023-03-04 02:51:30,245 - mmseg - INFO - Iter [27800/160000] lr: 1.500e-04, eta: 7:55:48, time: 0.243, data_time: 0.055, memory: 52540, decode.loss_ce: 0.2113, decode.acc_seg: 91.3353, loss: 0.2113 +2023-03-04 02:51:39,786 - mmseg - INFO - Iter [27850/160000] lr: 1.500e-04, eta: 7:55:31, time: 0.191, data_time: 0.008, memory: 52540, decode.loss_ce: 0.2114, decode.acc_seg: 91.3831, loss: 0.2114 +2023-03-04 02:51:49,505 - mmseg - INFO - Iter [27900/160000] lr: 1.500e-04, eta: 7:55:15, time: 0.194, data_time: 0.008, memory: 52540, decode.loss_ce: 0.2157, decode.acc_seg: 91.2421, loss: 0.2157 +2023-03-04 02:51:59,232 - mmseg - INFO - Iter [27950/160000] lr: 1.500e-04, eta: 7:54:59, time: 0.195, data_time: 0.007, memory: 52540, decode.loss_ce: 0.2055, decode.acc_seg: 91.7277, loss: 0.2055 +2023-03-04 02:52:08,688 - mmseg - INFO - Exp name: ablation_segformer_mit_b2_segformer_head_unet_fc_small_multi_step_ade_pretrained_freeze_embed_160k_ade20k151_finetune_ema_t50.py +2023-03-04 02:52:08,688 - mmseg - INFO - Iter [28000/160000] lr: 1.500e-04, eta: 7:54:42, time: 0.189, data_time: 0.007, memory: 52540, decode.loss_ce: 0.2033, decode.acc_seg: 91.5251, loss: 0.2033 +2023-03-04 02:52:18,229 - mmseg - INFO - Iter [28050/160000] lr: 1.500e-04, eta: 7:54:26, time: 0.191, data_time: 0.007, memory: 52540, decode.loss_ce: 0.2146, decode.acc_seg: 91.2668, loss: 0.2146 +2023-03-04 02:52:27,834 - mmseg - INFO - Iter [28100/160000] lr: 1.500e-04, eta: 7:54:09, time: 0.192, data_time: 0.007, memory: 52540, decode.loss_ce: 0.2105, decode.acc_seg: 91.4409, loss: 0.2105 +2023-03-04 02:52:37,321 - mmseg - INFO - Iter [28150/160000] lr: 1.500e-04, eta: 7:53:53, time: 0.190, data_time: 0.007, memory: 52540, decode.loss_ce: 0.2108, decode.acc_seg: 91.4012, loss: 0.2108 +2023-03-04 02:52:46,915 - mmseg - INFO - Iter [28200/160000] lr: 1.500e-04, eta: 7:53:36, time: 0.192, data_time: 0.007, memory: 52540, decode.loss_ce: 0.2023, decode.acc_seg: 91.6901, loss: 0.2023 +2023-03-04 02:52:56,488 - mmseg - INFO - Iter [28250/160000] lr: 1.500e-04, eta: 7:53:20, time: 0.191, data_time: 0.007, memory: 52540, decode.loss_ce: 0.2076, decode.acc_seg: 91.2664, loss: 0.2076 +2023-03-04 02:53:06,322 - mmseg - INFO - Iter [28300/160000] lr: 1.500e-04, eta: 7:53:05, time: 0.197, data_time: 0.008, memory: 52540, decode.loss_ce: 0.2058, decode.acc_seg: 91.6115, loss: 0.2058 +2023-03-04 02:53:15,849 - mmseg - INFO - Iter [28350/160000] lr: 1.500e-04, eta: 7:52:48, time: 0.191, data_time: 0.008, memory: 52540, decode.loss_ce: 0.2140, decode.acc_seg: 91.3852, loss: 0.2140 +2023-03-04 02:53:27,913 - mmseg - INFO - Iter [28400/160000] lr: 1.500e-04, eta: 7:52:43, time: 0.241, data_time: 0.055, memory: 52540, decode.loss_ce: 0.2011, decode.acc_seg: 91.9506, loss: 0.2011 +2023-03-04 02:53:37,596 - mmseg - INFO - Iter [28450/160000] lr: 1.500e-04, eta: 7:52:27, time: 0.193, data_time: 0.007, memory: 52540, decode.loss_ce: 0.2071, decode.acc_seg: 91.4266, loss: 0.2071 +2023-03-04 02:53:47,393 - mmseg - INFO - Iter [28500/160000] lr: 1.500e-04, eta: 7:52:12, time: 0.196, data_time: 0.007, memory: 52540, decode.loss_ce: 0.2092, decode.acc_seg: 91.6053, loss: 0.2092 +2023-03-04 02:53:56,892 - mmseg - INFO - Iter [28550/160000] lr: 1.500e-04, eta: 7:51:55, time: 0.190, data_time: 0.007, memory: 52540, decode.loss_ce: 0.2106, decode.acc_seg: 91.5715, loss: 0.2106 +2023-03-04 02:54:06,449 - mmseg - INFO - Iter [28600/160000] lr: 1.500e-04, eta: 7:51:39, time: 0.191, data_time: 0.008, memory: 52540, decode.loss_ce: 0.2103, decode.acc_seg: 91.4381, loss: 0.2103 +2023-03-04 02:54:16,112 - mmseg - INFO - Iter [28650/160000] lr: 1.500e-04, eta: 7:51:23, time: 0.193, data_time: 0.008, memory: 52540, decode.loss_ce: 0.2049, decode.acc_seg: 91.6164, loss: 0.2049 +2023-03-04 02:54:25,605 - mmseg - INFO - Iter [28700/160000] lr: 1.500e-04, eta: 7:51:07, time: 0.190, data_time: 0.007, memory: 52540, decode.loss_ce: 0.2088, decode.acc_seg: 91.4942, loss: 0.2088 +2023-03-04 02:54:35,048 - mmseg - INFO - Iter [28750/160000] lr: 1.500e-04, eta: 7:50:50, time: 0.189, data_time: 0.007, memory: 52540, decode.loss_ce: 0.2164, decode.acc_seg: 91.1965, loss: 0.2164 +2023-03-04 02:54:44,462 - mmseg - INFO - Iter [28800/160000] lr: 1.500e-04, eta: 7:50:33, time: 0.188, data_time: 0.007, memory: 52540, decode.loss_ce: 0.2052, decode.acc_seg: 91.5497, loss: 0.2052 +2023-03-04 02:54:53,863 - mmseg - INFO - Iter [28850/160000] lr: 1.500e-04, eta: 7:50:16, time: 0.188, data_time: 0.007, memory: 52540, decode.loss_ce: 0.2110, decode.acc_seg: 91.4891, loss: 0.2110 +2023-03-04 02:55:03,326 - mmseg - INFO - Iter [28900/160000] lr: 1.500e-04, eta: 7:49:59, time: 0.189, data_time: 0.007, memory: 52540, decode.loss_ce: 0.2191, decode.acc_seg: 91.1497, loss: 0.2191 +2023-03-04 02:55:12,845 - mmseg - INFO - Iter [28950/160000] lr: 1.500e-04, eta: 7:49:43, time: 0.190, data_time: 0.007, memory: 52540, decode.loss_ce: 0.2096, decode.acc_seg: 91.3700, loss: 0.2096 +2023-03-04 02:55:22,510 - mmseg - INFO - Exp name: ablation_segformer_mit_b2_segformer_head_unet_fc_small_multi_step_ade_pretrained_freeze_embed_160k_ade20k151_finetune_ema_t50.py +2023-03-04 02:55:22,510 - mmseg - INFO - Iter [29000/160000] lr: 1.500e-04, eta: 7:49:27, time: 0.193, data_time: 0.007, memory: 52540, decode.loss_ce: 0.2163, decode.acc_seg: 91.2606, loss: 0.2163 +2023-03-04 02:55:34,889 - mmseg - INFO - Iter [29050/160000] lr: 1.500e-04, eta: 7:49:24, time: 0.248, data_time: 0.056, memory: 52540, decode.loss_ce: 0.2049, decode.acc_seg: 91.4951, loss: 0.2049 +2023-03-04 02:55:44,611 - mmseg - INFO - Iter [29100/160000] lr: 1.500e-04, eta: 7:49:09, time: 0.194, data_time: 0.007, memory: 52540, decode.loss_ce: 0.2136, decode.acc_seg: 91.3423, loss: 0.2136 +2023-03-04 02:55:54,210 - mmseg - INFO - Iter [29150/160000] lr: 1.500e-04, eta: 7:48:53, time: 0.192, data_time: 0.008, memory: 52540, decode.loss_ce: 0.2123, decode.acc_seg: 91.4193, loss: 0.2123 +2023-03-04 02:56:03,727 - mmseg - INFO - Iter [29200/160000] lr: 1.500e-04, eta: 7:48:36, time: 0.190, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1985, decode.acc_seg: 91.7411, loss: 0.1985 +2023-03-04 02:56:13,269 - mmseg - INFO - Iter [29250/160000] lr: 1.500e-04, eta: 7:48:20, time: 0.191, data_time: 0.007, memory: 52540, decode.loss_ce: 0.2101, decode.acc_seg: 91.3687, loss: 0.2101 +2023-03-04 02:56:22,692 - mmseg - INFO - Iter [29300/160000] lr: 1.500e-04, eta: 7:48:04, time: 0.188, data_time: 0.007, memory: 52540, decode.loss_ce: 0.2059, decode.acc_seg: 91.5690, loss: 0.2059 +2023-03-04 02:56:32,280 - mmseg - INFO - Iter [29350/160000] lr: 1.500e-04, eta: 7:47:48, time: 0.192, data_time: 0.007, memory: 52540, decode.loss_ce: 0.2024, decode.acc_seg: 91.6676, loss: 0.2024 +2023-03-04 02:56:42,061 - mmseg - INFO - Iter [29400/160000] lr: 1.500e-04, eta: 7:47:33, time: 0.196, data_time: 0.007, memory: 52540, decode.loss_ce: 0.2032, decode.acc_seg: 91.6388, loss: 0.2032 +2023-03-04 02:56:51,803 - mmseg - INFO - Iter [29450/160000] lr: 1.500e-04, eta: 7:47:17, time: 0.195, data_time: 0.008, memory: 52540, decode.loss_ce: 0.2148, decode.acc_seg: 91.3121, loss: 0.2148 +2023-03-04 02:57:01,260 - mmseg - INFO - Iter [29500/160000] lr: 1.500e-04, eta: 7:47:01, time: 0.189, data_time: 0.008, memory: 52540, decode.loss_ce: 0.2008, decode.acc_seg: 91.9542, loss: 0.2008 +2023-03-04 02:57:10,643 - mmseg - INFO - Iter [29550/160000] lr: 1.500e-04, eta: 7:46:44, time: 0.188, data_time: 0.007, memory: 52540, decode.loss_ce: 0.2107, decode.acc_seg: 91.3775, loss: 0.2107 +2023-03-04 02:57:20,158 - mmseg - INFO - Iter [29600/160000] lr: 1.500e-04, eta: 7:46:28, time: 0.190, data_time: 0.007, memory: 52540, decode.loss_ce: 0.2125, decode.acc_seg: 91.2993, loss: 0.2125 +2023-03-04 02:57:29,654 - mmseg - INFO - Iter [29650/160000] lr: 1.500e-04, eta: 7:46:12, time: 0.190, data_time: 0.007, memory: 52540, decode.loss_ce: 0.2098, decode.acc_seg: 91.5833, loss: 0.2098 +2023-03-04 02:57:41,644 - mmseg - INFO - Iter [29700/160000] lr: 1.500e-04, eta: 7:46:07, time: 0.240, data_time: 0.054, memory: 52540, decode.loss_ce: 0.2110, decode.acc_seg: 91.4715, loss: 0.2110 +2023-03-04 02:57:51,244 - mmseg - INFO - Iter [29750/160000] lr: 1.500e-04, eta: 7:45:51, time: 0.192, data_time: 0.007, memory: 52540, decode.loss_ce: 0.2120, decode.acc_seg: 91.5096, loss: 0.2120 +2023-03-04 02:58:00,709 - mmseg - INFO - Iter [29800/160000] lr: 1.500e-04, eta: 7:45:35, time: 0.189, data_time: 0.007, memory: 52540, decode.loss_ce: 0.2065, decode.acc_seg: 91.5752, loss: 0.2065 +2023-03-04 02:58:10,227 - mmseg - INFO - Iter [29850/160000] lr: 1.500e-04, eta: 7:45:19, time: 0.190, data_time: 0.007, memory: 52540, decode.loss_ce: 0.2141, decode.acc_seg: 91.3689, loss: 0.2141 +2023-03-04 02:58:19,965 - mmseg - INFO - Iter [29900/160000] lr: 1.500e-04, eta: 7:45:04, time: 0.195, data_time: 0.007, memory: 52540, decode.loss_ce: 0.2197, decode.acc_seg: 91.1226, loss: 0.2197 +2023-03-04 02:58:29,667 - mmseg - INFO - Iter [29950/160000] lr: 1.500e-04, eta: 7:44:49, time: 0.194, data_time: 0.007, memory: 52540, decode.loss_ce: 0.2131, decode.acc_seg: 91.2376, loss: 0.2131 +2023-03-04 02:58:39,311 - mmseg - INFO - Exp name: ablation_segformer_mit_b2_segformer_head_unet_fc_small_multi_step_ade_pretrained_freeze_embed_160k_ade20k151_finetune_ema_t50.py +2023-03-04 02:58:39,312 - mmseg - INFO - Iter [30000/160000] lr: 1.500e-04, eta: 7:44:33, time: 0.193, data_time: 0.007, memory: 52540, decode.loss_ce: 0.2035, decode.acc_seg: 91.9127, loss: 0.2035 +2023-03-04 02:58:48,761 - mmseg - INFO - Iter [30050/160000] lr: 1.500e-04, eta: 7:44:17, time: 0.189, data_time: 0.007, memory: 52540, decode.loss_ce: 0.2063, decode.acc_seg: 91.5287, loss: 0.2063 +2023-03-04 02:58:58,346 - mmseg - INFO - Iter [30100/160000] lr: 1.500e-04, eta: 7:44:02, time: 0.192, data_time: 0.007, memory: 52540, decode.loss_ce: 0.2124, decode.acc_seg: 91.3569, loss: 0.2124 +2023-03-04 02:59:07,791 - mmseg - INFO - Iter [30150/160000] lr: 1.500e-04, eta: 7:43:45, time: 0.189, data_time: 0.007, memory: 52540, decode.loss_ce: 0.2037, decode.acc_seg: 91.8262, loss: 0.2037 +2023-03-04 02:59:17,436 - mmseg - INFO - Iter [30200/160000] lr: 1.500e-04, eta: 7:43:30, time: 0.193, data_time: 0.007, memory: 52540, decode.loss_ce: 0.2085, decode.acc_seg: 91.5632, loss: 0.2085 +2023-03-04 02:59:26,959 - mmseg - INFO - Iter [30250/160000] lr: 1.500e-04, eta: 7:43:14, time: 0.190, data_time: 0.007, memory: 52540, decode.loss_ce: 0.2102, decode.acc_seg: 91.5568, loss: 0.2102 +2023-03-04 02:59:38,983 - mmseg - INFO - Iter [30300/160000] lr: 1.500e-04, eta: 7:43:09, time: 0.240, data_time: 0.056, memory: 52540, decode.loss_ce: 0.2105, decode.acc_seg: 91.5025, loss: 0.2105 +2023-03-04 02:59:48,704 - mmseg - INFO - Iter [30350/160000] lr: 1.500e-04, eta: 7:42:54, time: 0.194, data_time: 0.007, memory: 52540, decode.loss_ce: 0.2061, decode.acc_seg: 91.6290, loss: 0.2061 +2023-03-04 02:59:58,544 - mmseg - INFO - Iter [30400/160000] lr: 1.500e-04, eta: 7:42:40, time: 0.197, data_time: 0.007, memory: 52540, decode.loss_ce: 0.2094, decode.acc_seg: 91.2971, loss: 0.2094 +2023-03-04 03:00:07,986 - mmseg - INFO - Iter [30450/160000] lr: 1.500e-04, eta: 7:42:24, time: 0.189, data_time: 0.007, memory: 52540, decode.loss_ce: 0.2051, decode.acc_seg: 91.6996, loss: 0.2051 +2023-03-04 03:00:17,484 - mmseg - INFO - Iter [30500/160000] lr: 1.500e-04, eta: 7:42:08, time: 0.190, data_time: 0.007, memory: 52540, decode.loss_ce: 0.2082, decode.acc_seg: 91.4570, loss: 0.2082 +2023-03-04 03:00:26,934 - mmseg - INFO - Iter [30550/160000] lr: 1.500e-04, eta: 7:41:52, time: 0.189, data_time: 0.007, memory: 52540, decode.loss_ce: 0.2072, decode.acc_seg: 91.5464, loss: 0.2072 +2023-03-04 03:00:36,582 - mmseg - INFO - Iter [30600/160000] lr: 1.500e-04, eta: 7:41:37, time: 0.193, data_time: 0.007, memory: 52540, decode.loss_ce: 0.2143, decode.acc_seg: 91.4426, loss: 0.2143 +2023-03-04 03:00:46,065 - mmseg - INFO - Iter [30650/160000] lr: 1.500e-04, eta: 7:41:21, time: 0.190, data_time: 0.007, memory: 52540, decode.loss_ce: 0.2106, decode.acc_seg: 91.4758, loss: 0.2106 +2023-03-04 03:00:55,500 - mmseg - INFO - Iter [30700/160000] lr: 1.500e-04, eta: 7:41:05, time: 0.189, data_time: 0.007, memory: 52540, decode.loss_ce: 0.2057, decode.acc_seg: 91.7249, loss: 0.2057 +2023-03-04 03:01:05,374 - mmseg - INFO - Iter [30750/160000] lr: 1.500e-04, eta: 7:40:51, time: 0.197, data_time: 0.008, memory: 52540, decode.loss_ce: 0.2080, decode.acc_seg: 91.5509, loss: 0.2080 +2023-03-04 03:01:15,232 - mmseg - INFO - Iter [30800/160000] lr: 1.500e-04, eta: 7:40:36, time: 0.197, data_time: 0.008, memory: 52540, decode.loss_ce: 0.2023, decode.acc_seg: 91.7637, loss: 0.2023 +2023-03-04 03:01:24,757 - mmseg - INFO - Iter [30850/160000] lr: 1.500e-04, eta: 7:40:21, time: 0.190, data_time: 0.007, memory: 52540, decode.loss_ce: 0.2236, decode.acc_seg: 90.9822, loss: 0.2236 +2023-03-04 03:01:34,350 - mmseg - INFO - Iter [30900/160000] lr: 1.500e-04, eta: 7:40:05, time: 0.192, data_time: 0.007, memory: 52540, decode.loss_ce: 0.2110, decode.acc_seg: 91.2532, loss: 0.2110 +2023-03-04 03:01:46,762 - mmseg - INFO - Iter [30950/160000] lr: 1.500e-04, eta: 7:40:02, time: 0.248, data_time: 0.056, memory: 52540, decode.loss_ce: 0.2052, decode.acc_seg: 91.6839, loss: 0.2052 +2023-03-04 03:01:56,391 - mmseg - INFO - Exp name: ablation_segformer_mit_b2_segformer_head_unet_fc_small_multi_step_ade_pretrained_freeze_embed_160k_ade20k151_finetune_ema_t50.py +2023-03-04 03:01:56,392 - mmseg - INFO - Iter [31000/160000] lr: 1.500e-04, eta: 7:39:47, time: 0.193, data_time: 0.007, memory: 52540, decode.loss_ce: 0.2173, decode.acc_seg: 91.2334, loss: 0.2173 +2023-03-04 03:02:06,101 - mmseg - INFO - Iter [31050/160000] lr: 1.500e-04, eta: 7:39:32, time: 0.194, data_time: 0.007, memory: 52540, decode.loss_ce: 0.2046, decode.acc_seg: 91.6580, loss: 0.2046 +2023-03-04 03:02:15,699 - mmseg - INFO - Iter [31100/160000] lr: 1.500e-04, eta: 7:39:17, time: 0.192, data_time: 0.007, memory: 52540, decode.loss_ce: 0.2115, decode.acc_seg: 91.5114, loss: 0.2115 +2023-03-04 03:02:25,534 - mmseg - INFO - Iter [31150/160000] lr: 1.500e-04, eta: 7:39:03, time: 0.197, data_time: 0.007, memory: 52540, decode.loss_ce: 0.2075, decode.acc_seg: 91.4943, loss: 0.2075 +2023-03-04 03:02:35,177 - mmseg - INFO - Iter [31200/160000] lr: 1.500e-04, eta: 7:38:48, time: 0.193, data_time: 0.007, memory: 52540, decode.loss_ce: 0.2151, decode.acc_seg: 91.1836, loss: 0.2151 +2023-03-04 03:02:44,623 - mmseg - INFO - Iter [31250/160000] lr: 1.500e-04, eta: 7:38:32, time: 0.189, data_time: 0.007, memory: 52540, decode.loss_ce: 0.2031, decode.acc_seg: 91.7124, loss: 0.2031 +2023-03-04 03:02:54,571 - mmseg - INFO - Iter [31300/160000] lr: 1.500e-04, eta: 7:38:18, time: 0.199, data_time: 0.007, memory: 52540, decode.loss_ce: 0.2052, decode.acc_seg: 91.5381, loss: 0.2052 +2023-03-04 03:03:04,114 - mmseg - INFO - Iter [31350/160000] lr: 1.500e-04, eta: 7:38:03, time: 0.191, data_time: 0.007, memory: 52540, decode.loss_ce: 0.2026, decode.acc_seg: 91.7267, loss: 0.2026 +2023-03-04 03:03:13,678 - mmseg - INFO - Iter [31400/160000] lr: 1.500e-04, eta: 7:37:47, time: 0.191, data_time: 0.007, memory: 52540, decode.loss_ce: 0.2057, decode.acc_seg: 91.4924, loss: 0.2057 +2023-03-04 03:03:23,132 - mmseg - INFO - Iter [31450/160000] lr: 1.500e-04, eta: 7:37:32, time: 0.189, data_time: 0.007, memory: 52540, decode.loss_ce: 0.2063, decode.acc_seg: 91.5559, loss: 0.2063 +2023-03-04 03:03:32,734 - mmseg - INFO - Iter [31500/160000] lr: 1.500e-04, eta: 7:37:17, time: 0.192, data_time: 0.007, memory: 52540, decode.loss_ce: 0.2122, decode.acc_seg: 91.3583, loss: 0.2122 +2023-03-04 03:03:42,302 - mmseg - INFO - Iter [31550/160000] lr: 1.500e-04, eta: 7:37:02, time: 0.191, data_time: 0.007, memory: 52540, decode.loss_ce: 0.2125, decode.acc_seg: 91.3981, loss: 0.2125 +2023-03-04 03:03:54,537 - mmseg - INFO - Iter [31600/160000] lr: 1.500e-04, eta: 7:36:57, time: 0.245, data_time: 0.055, memory: 52540, decode.loss_ce: 0.2135, decode.acc_seg: 91.3000, loss: 0.2135 +2023-03-04 03:04:04,155 - mmseg - INFO - Iter [31650/160000] lr: 1.500e-04, eta: 7:36:42, time: 0.192, data_time: 0.007, memory: 52540, decode.loss_ce: 0.2150, decode.acc_seg: 91.2175, loss: 0.2150 +2023-03-04 03:04:13,671 - mmseg - INFO - Iter [31700/160000] lr: 1.500e-04, eta: 7:36:27, time: 0.190, data_time: 0.007, memory: 52540, decode.loss_ce: 0.2172, decode.acc_seg: 91.2865, loss: 0.2172 +2023-03-04 03:04:23,777 - mmseg - INFO - Iter [31750/160000] lr: 1.500e-04, eta: 7:36:14, time: 0.202, data_time: 0.008, memory: 52540, decode.loss_ce: 0.2044, decode.acc_seg: 91.6861, loss: 0.2044 +2023-03-04 03:04:33,549 - mmseg - INFO - Iter [31800/160000] lr: 1.500e-04, eta: 7:36:00, time: 0.195, data_time: 0.007, memory: 52540, decode.loss_ce: 0.2019, decode.acc_seg: 91.5853, loss: 0.2019 +2023-03-04 03:04:43,019 - mmseg - INFO - Iter [31850/160000] lr: 1.500e-04, eta: 7:35:44, time: 0.190, data_time: 0.008, memory: 52540, decode.loss_ce: 0.2085, decode.acc_seg: 91.4835, loss: 0.2085 +2023-03-04 03:04:52,493 - mmseg - INFO - Iter [31900/160000] lr: 1.500e-04, eta: 7:35:29, time: 0.189, data_time: 0.007, memory: 52540, decode.loss_ce: 0.2058, decode.acc_seg: 91.6210, loss: 0.2058 +2023-03-04 03:05:02,287 - mmseg - INFO - Iter [31950/160000] lr: 1.500e-04, eta: 7:35:14, time: 0.196, data_time: 0.007, memory: 52540, decode.loss_ce: 0.2229, decode.acc_seg: 91.1236, loss: 0.2229 +2023-03-04 03:05:11,857 - mmseg - INFO - Swap parameters (after train) after iter [32000] +2023-03-04 03:05:11,869 - mmseg - INFO - Saving checkpoint at 32000 iterations +2023-03-04 03:05:13,048 - mmseg - INFO - Exp name: ablation_segformer_mit_b2_segformer_head_unet_fc_small_multi_step_ade_pretrained_freeze_embed_160k_ade20k151_finetune_ema_t50.py +2023-03-04 03:05:13,049 - mmseg - INFO - Iter [32000/160000] lr: 1.500e-04, eta: 7:35:04, time: 0.215, data_time: 0.008, memory: 52540, decode.loss_ce: 0.2225, decode.acc_seg: 91.1897, loss: 0.2225 +2023-03-04 03:11:01,784 - mmseg - INFO - per class results: +2023-03-04 03:11:01,792 - mmseg - INFO - ++---------------------+-------------------------------------------------------------------+ +| Class | IoU 0,5,10,15,20,25,30,35,40,45,49 | ++---------------------+-------------------------------------------------------------------+ +| background | nan,nan,nan,nan,nan,nan,nan,nan,nan,nan,nan | +| wall | 77.18,77.19,77.2,77.21,77.22,77.23,77.23,77.24,77.23,77.23,77.23 | +| building | 81.43,81.43,81.43,81.44,81.45,81.45,81.47,81.48,81.49,81.5,81.51 | +| sky | 94.41,94.42,94.42,94.42,94.42,94.42,94.43,94.43,94.43,94.43,94.43 | +| floor | 81.66,81.66,81.67,81.69,81.69,81.7,81.68,81.7,81.69,81.68,81.68 | +| tree | 74.01,74.02,74.03,74.0,74.04,74.04,74.04,74.07,74.04,74.1,74.1 | +| ceiling | 85.08,85.07,85.09,85.09,85.11,85.1,85.11,85.11,85.09,85.09,85.09 | +| road | 81.94,81.93,81.92,81.91,81.89,81.87,81.85,81.85,81.83,81.83,81.8 | +| bed | 87.51,87.5,87.51,87.51,87.51,87.5,87.51,87.52,87.5,87.51,87.49 | +| windowpane | 60.21,60.22,60.23,60.25,60.22,60.26,60.27,60.28,60.3,60.3,60.3 | +| grass | 67.11,67.14,67.17,67.18,67.21,67.21,67.23,67.25,67.25,67.28,67.28 | +| cabinet | 60.04,60.08,60.14,60.25,60.27,60.3,60.37,60.36,60.5,60.43,60.43 | +| sidewalk | 63.57,63.55,63.54,63.52,63.48,63.44,63.4,63.39,63.35,63.32,63.26 | +| person | 79.34,79.36,79.4,79.42,79.44,79.46,79.5,79.5,79.51,79.51,79.52 | +| earth | 35.5,35.48,35.51,35.51,35.44,35.51,35.43,35.45,35.42,35.37,35.37 | +| door | 44.96,44.96,44.99,44.97,44.96,44.96,45.05,45.0,45.03,45.06,45.09 | +| table | 59.79,59.85,59.85,59.89,59.94,59.9,59.96,59.92,59.98,59.87,59.88 | +| mountain | 56.52,56.5,56.47,56.48,56.51,56.49,56.52,56.49,56.49,56.48,56.49 | +| plant | 50.01,49.98,49.93,49.9,49.92,49.89,49.91,49.8,49.91,49.78,49.77 | +| curtain | 74.22,74.27,74.27,74.34,74.32,74.38,74.34,74.37,74.36,74.34,74.33 | +| chair | 55.84,55.81,55.82,55.86,55.9,55.88,55.88,55.91,55.92,55.91,55.9 | +| car | 81.58,81.61,81.62,81.63,81.6,81.65,81.64,81.64,81.63,81.65,81.65 | +| water | 57.72,57.73,57.74,57.71,57.73,57.69,57.7,57.67,57.66,57.6,57.59 | +| painting | 70.31,70.28,70.33,70.27,70.24,70.26,70.24,70.22,70.19,70.2,70.2 | +| sofa | 63.64,63.72,63.73,63.81,63.84,63.8,63.86,63.92,63.96,63.97,64.0 | +| shelf | 43.93,43.96,43.97,44.05,44.0,44.03,44.09,44.1,44.09,44.14,44.12 | +| house | 39.09,39.09,39.18,39.28,39.31,39.4,39.51,39.6,39.74,39.79,39.85 | +| sea | 60.66,60.65,60.66,60.58,60.59,60.55,60.5,60.48,60.41,60.37,60.36 | +| mirror | 64.94,64.96,65.04,65.07,65.08,65.09,65.11,65.15,65.23,65.23,65.29 | +| rug | 64.58,64.56,64.62,64.72,64.69,64.73,64.72,64.77,64.76,64.71,64.68 | +| field | 30.6,30.61,30.61,30.63,30.66,30.65,30.67,30.67,30.7,30.71,30.74 | +| armchair | 37.12,37.18,37.23,37.27,37.33,37.42,37.35,37.53,37.55,37.59,37.63 | +| seat | 66.24,66.26,66.37,66.32,66.43,66.57,66.52,66.62,66.53,66.61,66.56 | +| fence | 40.04,39.95,40.03,40.01,40.19,40.2,40.19,40.16,40.18,40.14,40.12 | +| desk | 46.37,46.43,46.39,46.32,46.31,46.31,46.19,46.14,46.09,46.11,46.03 | +| rock | 36.62,36.62,36.6,36.57,36.64,36.58,36.58,36.54,36.57,36.53,36.53 | +| wardrobe | 57.14,57.25,57.24,57.36,57.24,57.43,57.41,57.45,57.58,57.58,57.59 | +| lamp | 61.04,60.98,61.03,61.05,61.08,61.04,61.02,61.01,60.99,60.95,60.93 | +| bathtub | 76.46,76.56,76.62,76.81,76.82,76.97,76.95,76.96,76.88,76.83,76.76 | +| railing | 33.47,33.5,33.58,33.59,33.63,33.64,33.69,33.71,33.68,33.75,33.74 | +| cushion | 56.4,56.4,56.42,56.48,56.52,56.33,56.4,56.62,56.57,56.51,56.51 | +| base | 21.51,21.58,21.63,21.73,21.73,21.75,21.86,21.85,21.93,21.84,21.86 | +| box | 23.04,23.08,23.12,23.11,23.13,23.12,23.18,23.15,23.21,23.12,23.12 | +| column | 45.44,45.45,45.48,45.52,45.5,45.63,45.52,45.64,45.4,45.6,45.6 | +| signboard | 37.63,37.59,37.56,37.58,37.63,37.59,37.55,37.53,37.5,37.5,37.5 | +| chest of drawers | 35.64,35.7,35.66,35.82,35.85,35.78,35.96,35.73,36.01,35.8,35.79 | +| counter | 31.37,31.41,31.37,31.37,31.31,31.39,31.23,31.19,31.13,31.25,31.18 | +| sand | 41.06,41.04,41.08,41.1,41.14,41.17,41.16,41.2,41.22,41.3,41.38 | +| sink | 67.18,67.12,67.16,67.13,67.13,67.1,67.14,67.07,67.2,67.05,67.04 | +| skyscraper | 50.13,49.98,49.67,49.39,49.27,49.45,49.22,49.6,49.32,49.86,50.11 | +| fireplace | 75.39,75.47,75.47,75.45,75.59,75.57,75.57,75.74,75.53,75.71,75.66 | +| refrigerator | 73.32,73.65,73.83,73.84,74.07,74.16,74.27,74.21,74.19,74.15,74.22 | +| grandstand | 50.32,50.33,50.38,50.42,50.61,50.59,50.59,50.62,50.67,50.58,50.61 | +| path | 21.4,21.48,21.49,21.53,21.53,21.6,21.57,21.59,21.64,21.63,21.64 | +| stairs | 32.22,32.26,32.28,32.35,32.4,32.42,32.5,32.42,32.51,32.48,32.5 | +| runway | 66.79,66.85,66.77,66.8,66.83,66.74,66.72,66.7,66.7,66.64,66.63 | +| case | 47.46,47.49,47.62,47.65,47.54,47.68,47.72,47.77,47.76,47.89,47.92 | +| pool table | 91.81,91.83,91.85,91.9,91.89,91.94,91.96,91.96,91.99,92.01,92.04 | +| pillow | 59.88,59.99,60.04,60.04,60.09,60.17,60.19,60.29,60.26,60.34,60.33 | +| screen door | 68.48,68.33,68.44,68.44,68.53,68.53,68.46,68.56,68.4,68.47,68.41 | +| stairway | 24.45,24.48,24.61,24.72,24.73,24.77,24.85,24.92,24.9,25.02,25.05 | +| river | 12.06,12.09,12.08,12.1,12.06,12.1,12.07,12.08,12.06,12.07,12.06 | +| bridge | 31.59,31.55,31.5,31.57,31.57,31.67,31.6,31.69,31.78,31.9,31.96 | +| bookcase | 44.3,44.38,44.37,44.31,44.39,44.41,44.45,44.44,44.47,44.37,44.4 | +| blind | 38.06,38.15,38.21,38.24,38.24,38.36,38.56,38.52,38.84,38.88,39.05 | +| coffee table | 52.83,52.83,52.87,52.75,52.85,52.78,52.81,52.7,52.69,52.66,52.61 | +| toilet | 83.67,83.63,83.67,83.68,83.53,83.59,83.57,83.59,83.53,83.58,83.56 | +| flower | 38.95,38.96,38.93,38.99,38.89,38.87,38.95,38.88,38.84,38.84,38.86 | +| book | 44.26,44.32,44.36,44.38,44.49,44.42,44.55,44.5,44.69,44.56,44.62 | +| hill | 14.87,14.84,14.92,14.91,14.96,14.88,14.84,14.94,14.73,14.82,14.84 | +| bench | 41.88,41.9,41.81,41.77,41.7,41.58,41.64,41.55,41.49,41.37,41.34 | +| countertop | 54.73,54.67,54.6,54.69,54.61,54.59,54.63,54.56,54.57,54.56,54.53 | +| stove | 71.14,71.14,71.24,71.23,71.13,71.11,71.17,71.14,71.21,70.98,70.94 | +| palm | 48.76,48.62,48.78,48.8,48.71,48.72,48.63,48.76,48.63,48.74,48.71 | +| kitchen island | 42.59,42.77,43.05,43.32,43.37,43.61,43.72,44.06,43.97,44.32,44.4 | +| computer | 59.76,59.76,59.83,59.87,59.87,59.93,59.93,59.88,59.86,59.92,59.93 | +| swivel chair | 43.4,43.35,43.46,43.45,43.51,43.5,43.44,43.48,43.54,43.56,43.53 | +| boat | 73.06,73.01,72.93,72.84,72.87,72.81,72.84,72.68,72.65,72.56,72.48 | +| bar | 22.85,22.82,22.85,22.84,22.87,22.85,22.86,22.88,22.87,22.92,22.94 | +| arcade machine | 69.62,69.64,69.75,69.92,70.06,69.97,70.41,70.06,70.75,70.24,70.36 | +| hovel | 34.15,34.06,33.66,33.6,33.41,33.05,33.16,32.7,32.82,32.31,32.15 | +| bus | 78.41,78.35,78.34,78.31,78.18,78.24,78.12,78.12,78.06,78.05,78.02 | +| towel | 63.12,63.14,63.17,63.17,63.2,63.1,63.04,63.08,62.87,62.89,62.87 | +| light | 55.3,55.32,55.34,55.24,55.19,55.21,55.21,55.16,55.12,55.11,55.08 | +| truck | 17.01,16.79,16.82,16.8,16.71,16.65,16.62,16.42,16.33,16.4,16.32 | +| tower | 8.76,8.78,8.79,8.81,8.77,8.79,8.81,8.81,8.82,8.85,8.86 | +| chandelier | 63.93,63.95,64.05,64.0,64.06,64.08,64.08,64.13,64.11,64.12,64.14 | +| awning | 23.96,24.14,24.18,24.32,24.44,24.43,24.56,24.67,24.58,24.72,24.78 | +| streetlight | 26.01,26.1,26.11,26.15,26.15,26.14,26.13,26.15,26.19,26.26,26.24 | +| booth | 43.59,43.68,43.7,43.8,44.05,44.2,44.24,44.39,44.43,44.74,44.69 | +| television receiver | 63.87,63.74,63.75,63.7,63.73,63.88,63.92,63.84,63.95,63.9,63.92 | +| airplane | 58.22,58.24,58.27,58.28,58.33,58.33,58.37,58.28,58.35,58.35,58.35 | +| dirt track | 19.04,19.08,19.17,19.19,19.21,19.19,19.24,19.27,19.31,19.26,19.32 | +| apparel | 33.3,33.19,33.32,33.25,33.23,33.3,33.39,33.32,33.23,33.4,33.53 | +| pole | 17.71,17.72,17.6,17.58,17.61,17.39,17.39,17.31,17.24,17.26,17.23 | +| land | 3.28,3.34,3.44,3.44,3.49,3.49,3.51,3.61,3.53,3.7,3.72 | +| bannister | 11.93,12.06,12.03,12.12,12.25,12.31,12.31,12.46,12.54,12.61,12.66 | +| escalator | 23.8,23.8,23.88,23.91,23.92,23.98,23.99,24.06,24.03,24.04,24.11 | +| ottoman | 42.97,43.07,43.05,43.14,42.82,43.05,42.78,43.01,42.77,42.97,42.93 | +| bottle | 35.26,35.19,35.15,35.18,35.03,35.07,34.99,35.06,34.98,34.94,34.89 | +| buffet | 39.0,39.01,39.6,39.69,40.15,40.07,40.49,40.54,40.97,40.79,40.95 | +| poster | 24.39,24.28,24.3,24.32,24.26,24.12,24.17,23.98,23.97,24.11,24.11 | +| stage | 14.57,14.5,14.49,14.61,14.46,14.77,14.52,14.59,14.57,14.56,14.57 | +| van | 38.55,38.59,38.62,38.6,38.56,38.63,38.63,38.51,38.58,38.51,38.5 | +| ship | 78.17,78.24,78.36,78.38,78.58,79.0,79.01,79.04,79.15,78.95,79.03 | +| fountain | 19.14,19.31,19.52,19.79,19.89,20.05,20.32,20.42,20.77,20.84,20.97 | +| conveyer belt | 83.97,83.96,84.01,83.84,83.95,83.84,84.02,83.85,83.91,83.77,83.76 | +| canopy | 23.91,23.98,23.97,24.23,24.24,24.35,24.28,24.45,24.37,24.44,24.39 | +| washer | 76.38,76.4,76.47,76.62,76.5,76.61,76.59,76.73,76.78,76.74,76.74 | +| plaything | 21.52,21.53,21.55,21.49,21.55,21.54,21.52,21.44,21.48,21.4,21.4 | +| swimming pool | 74.16,74.16,74.37,74.61,74.63,74.63,74.9,74.92,74.93,75.09,75.08 | +| stool | 43.77,43.76,43.76,44.03,43.97,44.04,44.07,44.19,44.15,44.21,44.16 | +| barrel | 41.39,40.44,40.43,40.08,40.41,40.07,40.02,39.63,39.58,39.07,39.06 | +| basket | 23.67,23.69,23.73,23.7,23.78,23.72,23.85,23.73,23.77,23.77,23.77 | +| waterfall | 50.76,50.75,50.96,51.0,51.05,51.17,51.21,51.33,51.4,51.49,51.54 | +| tent | 94.57,94.55,94.59,94.53,94.58,94.5,94.55,94.45,94.49,94.44,94.4 | +| bag | 15.37,15.37,15.36,15.31,15.39,15.47,15.35,15.44,15.38,15.45,15.52 | +| minibike | 62.36,62.34,62.5,62.49,62.65,62.68,62.59,62.72,62.69,62.84,62.88 | +| cradle | 84.07,84.17,84.16,84.15,84.15,84.23,84.22,84.22,84.24,84.18,84.21 | +| oven | 50.31,50.18,50.34,50.18,50.1,50.11,49.96,50.0,50.05,49.97,49.97 | +| ball | 45.98,46.18,46.13,46.22,46.2,46.35,46.3,46.28,46.43,46.15,46.18 | +| food | 54.17,54.32,54.25,54.3,54.28,54.33,54.43,54.28,54.42,54.37,54.4 | +| step | 6.09,6.05,6.02,6.06,5.94,5.94,5.95,5.91,5.95,5.9,5.9 | +| tank | 52.17,52.21,52.19,52.26,52.32,52.31,52.3,52.28,52.31,52.38,52.4 | +| trade name | 27.67,27.75,27.76,27.69,27.73,27.76,27.66,27.47,27.59,27.44,27.3 | +| microwave | 76.03,76.08,76.19,76.3,76.36,76.43,76.57,76.62,76.72,76.75,76.75 | +| pot | 29.89,29.92,29.99,30.11,30.12,30.31,30.29,30.43,30.5,30.6,30.61 | +| animal | 54.85,54.89,55.0,54.96,54.93,55.0,54.96,55.0,54.97,54.98,54.98 | +| bicycle | 54.28,54.41,54.54,54.55,54.62,54.64,54.72,54.68,54.81,54.88,54.9 | +| lake | 57.07,57.06,57.04,57.03,57.04,56.99,57.0,56.98,56.97,56.95,56.94 | +| dishwasher | 65.38,65.19,65.19,64.8,64.97,64.89,64.79,64.68,64.72,64.69,64.65 | +| screen | 67.99,67.66,67.28,67.45,67.18,67.03,67.05,66.84,66.77,66.7,66.67 | +| blanket | 17.53,17.53,17.46,17.42,17.39,17.3,17.12,17.14,16.9,16.94,16.93 | +| sculpture | 56.88,56.84,56.61,56.58,56.57,56.29,56.41,56.22,55.95,56.03,55.77 | +| hood | 57.99,57.84,57.48,57.65,57.66,57.22,57.66,57.11,57.22,57.24,57.22 | +| sconce | 42.36,42.31,42.5,42.56,42.53,42.68,42.61,42.66,42.75,42.7,42.74 | +| vase | 36.6,36.63,36.5,36.76,36.8,36.8,36.63,36.72,36.87,36.71,36.71 | +| traffic light | 32.96,32.9,33.01,33.01,32.98,33.09,33.04,33.13,33.13,33.2,33.2 | +| tray | 6.0,6.03,6.14,6.15,6.18,6.26,6.28,6.36,6.41,6.4,6.5 | +| ashcan | 41.5,41.53,41.57,41.57,41.45,41.51,41.46,41.42,41.48,41.25,41.17 | +| fan | 58.19,58.15,58.16,58.07,57.95,57.93,57.95,57.88,57.82,57.78,57.76 | +| pier | 48.64,49.09,49.58,49.66,49.95,50.04,50.42,50.26,50.5,49.87,49.54 | +| crt screen | 10.42,10.53,10.52,10.5,10.43,10.52,10.57,10.46,10.58,10.5,10.5 | +| plate | 51.77,51.76,51.76,51.91,51.83,51.93,51.82,51.82,51.9,52.02,52.02 | +| monitor | 19.13,19.21,19.17,19.1,19.04,19.08,18.95,18.97,19.03,18.87,18.87 | +| bulletin board | 39.25,39.41,39.58,39.9,40.49,40.55,40.81,41.23,41.61,42.73,43.55 | +| shower | 1.28,1.37,1.48,1.44,1.45,1.45,1.48,1.51,1.29,1.49,1.51 | +| radiator | 61.58,62.03,62.43,63.01,63.38,63.71,64.12,64.52,64.51,64.79,64.83 | +| glass | 13.45,13.48,13.51,13.49,13.52,13.56,13.55,13.62,13.59,13.54,13.55 | +| clock | 34.51,34.44,34.54,34.54,34.83,34.65,34.55,34.52,34.58,34.57,34.5 | +| flag | 33.84,34.14,34.15,34.15,34.21,34.32,34.18,34.44,34.38,34.73,34.72 | ++---------------------+-------------------------------------------------------------------+ +2023-03-04 03:11:01,792 - mmseg - INFO - Summary: +2023-03-04 03:11:01,792 - mmseg - INFO - ++-------------------------------------------------------------------+ +| mIoU 0,5,10,15,20,25,30,35,40,45,49 | ++-------------------------------------------------------------------+ +| 48.34,48.35,48.38,48.41,48.43,48.44,48.46,48.46,48.48,48.48,48.49 | ++-------------------------------------------------------------------+ +2023-03-04 03:11:01,824 - mmseg - INFO - The previous best checkpoint /mnt/petrelfs/laizeqiang/mmseg-baseline/work_dirs2/ablation_segformer_mit_b2_segformer_head_unet_fc_small_multi_step_ade_pretrained_freeze_embed_160k_ade20k151_finetune_ema_t50/best_mIoU_iter_16000.pth was removed +2023-03-04 03:11:02,693 - mmseg - INFO - Now best checkpoint is saved as best_mIoU_iter_32000.pth. +2023-03-04 03:11:02,693 - mmseg - INFO - Best mIoU is 0.4849 at 32000 iter. +2023-03-04 03:11:02,693 - mmseg - INFO - Exp name: ablation_segformer_mit_b2_segformer_head_unet_fc_small_multi_step_ade_pretrained_freeze_embed_160k_ade20k151_finetune_ema_t50.py +2023-03-04 03:11:02,693 - mmseg - INFO - Iter(val) [250] mIoU: [0.4834, 0.4835, 0.4838, 0.4841, 0.4843, 0.4844, 0.4846, 0.4846, 0.4848, 0.4848, 0.4849], copy_paste: 48.34,48.35,48.38,48.41,48.43,48.44,48.46,48.46,48.48,48.48,48.49 +2023-03-04 03:11:02,699 - mmseg - INFO - Swap parameters (before train) before iter [32001] +2023-03-04 03:11:12,578 - mmseg - INFO - Iter [32050/160000] lr: 1.500e-04, eta: 7:58:06, time: 7.191, data_time: 7.001, memory: 52540, decode.loss_ce: 0.2069, decode.acc_seg: 91.5140, loss: 0.2069 +2023-03-04 03:11:22,396 - mmseg - INFO - Iter [32100/160000] lr: 1.500e-04, eta: 7:57:49, time: 0.196, data_time: 0.008, memory: 52540, decode.loss_ce: 0.2115, decode.acc_seg: 91.5797, loss: 0.2115 +2023-03-04 03:11:32,303 - mmseg - INFO - Iter [32150/160000] lr: 1.500e-04, eta: 7:57:33, time: 0.198, data_time: 0.008, memory: 52540, decode.loss_ce: 0.2054, decode.acc_seg: 91.6242, loss: 0.2054 +2023-03-04 03:11:44,912 - mmseg - INFO - Iter [32200/160000] lr: 1.500e-04, eta: 7:57:27, time: 0.252, data_time: 0.053, memory: 52540, decode.loss_ce: 0.2071, decode.acc_seg: 91.6472, loss: 0.2071 +2023-03-04 03:11:54,530 - mmseg - INFO - Iter [32250/160000] lr: 1.500e-04, eta: 7:57:10, time: 0.192, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1959, decode.acc_seg: 91.9763, loss: 0.1959 +2023-03-04 03:12:04,142 - mmseg - INFO - Iter [32300/160000] lr: 1.500e-04, eta: 7:56:52, time: 0.192, data_time: 0.008, memory: 52540, decode.loss_ce: 0.2060, decode.acc_seg: 91.6757, loss: 0.2060 +2023-03-04 03:12:13,678 - mmseg - INFO - Iter [32350/160000] lr: 1.500e-04, eta: 7:56:35, time: 0.191, data_time: 0.007, memory: 52540, decode.loss_ce: 0.2019, decode.acc_seg: 91.7683, loss: 0.2019 +2023-03-04 03:12:23,470 - mmseg - INFO - Iter [32400/160000] lr: 1.500e-04, eta: 7:56:18, time: 0.196, data_time: 0.008, memory: 52540, decode.loss_ce: 0.2035, decode.acc_seg: 91.7080, loss: 0.2035 +2023-03-04 03:12:32,863 - mmseg - INFO - Iter [32450/160000] lr: 1.500e-04, eta: 7:56:00, time: 0.188, data_time: 0.008, memory: 52540, decode.loss_ce: 0.2055, decode.acc_seg: 91.6291, loss: 0.2055 +2023-03-04 03:12:42,407 - mmseg - INFO - Iter [32500/160000] lr: 1.500e-04, eta: 7:55:42, time: 0.190, data_time: 0.007, memory: 52540, decode.loss_ce: 0.2066, decode.acc_seg: 91.5748, loss: 0.2066 +2023-03-04 03:12:52,140 - mmseg - INFO - Iter [32550/160000] lr: 1.500e-04, eta: 7:55:25, time: 0.195, data_time: 0.008, memory: 52540, decode.loss_ce: 0.2093, decode.acc_seg: 91.3757, loss: 0.2093 +2023-03-04 03:13:01,557 - mmseg - INFO - Iter [32600/160000] lr: 1.500e-04, eta: 7:55:07, time: 0.188, data_time: 0.007, memory: 52540, decode.loss_ce: 0.2078, decode.acc_seg: 91.3483, loss: 0.2078 +2023-03-04 03:13:11,084 - mmseg - INFO - Iter [32650/160000] lr: 1.500e-04, eta: 7:54:49, time: 0.191, data_time: 0.008, memory: 52540, decode.loss_ce: 0.2116, decode.acc_seg: 91.4257, loss: 0.2116 +2023-03-04 03:13:20,588 - mmseg - INFO - Iter [32700/160000] lr: 1.500e-04, eta: 7:54:31, time: 0.190, data_time: 0.007, memory: 52540, decode.loss_ce: 0.2047, decode.acc_seg: 91.6217, loss: 0.2047 +2023-03-04 03:13:30,170 - mmseg - INFO - Iter [32750/160000] lr: 1.500e-04, eta: 7:54:14, time: 0.192, data_time: 0.008, memory: 52540, decode.loss_ce: 0.2027, decode.acc_seg: 91.8479, loss: 0.2027 +2023-03-04 03:13:39,899 - mmseg - INFO - Iter [32800/160000] lr: 1.500e-04, eta: 7:53:57, time: 0.195, data_time: 0.007, memory: 52540, decode.loss_ce: 0.2105, decode.acc_seg: 91.4026, loss: 0.2105 +2023-03-04 03:13:51,838 - mmseg - INFO - Iter [32850/160000] lr: 1.500e-04, eta: 7:53:49, time: 0.239, data_time: 0.057, memory: 52540, decode.loss_ce: 0.2035, decode.acc_seg: 91.6127, loss: 0.2035 +2023-03-04 03:14:01,412 - mmseg - INFO - Iter [32900/160000] lr: 1.500e-04, eta: 7:53:32, time: 0.191, data_time: 0.007, memory: 52540, decode.loss_ce: 0.2067, decode.acc_seg: 91.5623, loss: 0.2067 +2023-03-04 03:14:10,969 - mmseg - INFO - Iter [32950/160000] lr: 1.500e-04, eta: 7:53:14, time: 0.191, data_time: 0.007, memory: 52540, decode.loss_ce: 0.2148, decode.acc_seg: 91.4708, loss: 0.2148 +2023-03-04 03:14:20,547 - mmseg - INFO - Exp name: ablation_segformer_mit_b2_segformer_head_unet_fc_small_multi_step_ade_pretrained_freeze_embed_160k_ade20k151_finetune_ema_t50.py +2023-03-04 03:14:20,547 - mmseg - INFO - Iter [33000/160000] lr: 1.500e-04, eta: 7:52:57, time: 0.192, data_time: 0.007, memory: 52540, decode.loss_ce: 0.2094, decode.acc_seg: 91.3687, loss: 0.2094 +2023-03-04 03:14:30,200 - mmseg - INFO - Iter [33050/160000] lr: 1.500e-04, eta: 7:52:40, time: 0.193, data_time: 0.008, memory: 52540, decode.loss_ce: 0.2074, decode.acc_seg: 91.5444, loss: 0.2074 +2023-03-04 03:14:39,629 - mmseg - INFO - Iter [33100/160000] lr: 1.500e-04, eta: 7:52:22, time: 0.189, data_time: 0.007, memory: 52540, decode.loss_ce: 0.2102, decode.acc_seg: 91.3855, loss: 0.2102 +2023-03-04 03:14:49,378 - mmseg - INFO - Iter [33150/160000] lr: 1.500e-04, eta: 7:52:05, time: 0.195, data_time: 0.007, memory: 52540, decode.loss_ce: 0.2012, decode.acc_seg: 91.7684, loss: 0.2012 +2023-03-04 03:14:59,126 - mmseg - INFO - Iter [33200/160000] lr: 1.500e-04, eta: 7:51:49, time: 0.195, data_time: 0.008, memory: 52540, decode.loss_ce: 0.2021, decode.acc_seg: 91.5744, loss: 0.2021 +2023-03-04 03:15:09,139 - mmseg - INFO - Iter [33250/160000] lr: 1.500e-04, eta: 7:51:33, time: 0.200, data_time: 0.007, memory: 52540, decode.loss_ce: 0.2181, decode.acc_seg: 91.0092, loss: 0.2181 +2023-03-04 03:15:18,641 - mmseg - INFO - Iter [33300/160000] lr: 1.500e-04, eta: 7:51:16, time: 0.190, data_time: 0.007, memory: 52540, decode.loss_ce: 0.2157, decode.acc_seg: 91.3675, loss: 0.2157 +2023-03-04 03:15:28,308 - mmseg - INFO - Iter [33350/160000] lr: 1.500e-04, eta: 7:50:59, time: 0.193, data_time: 0.008, memory: 52540, decode.loss_ce: 0.2082, decode.acc_seg: 91.4461, loss: 0.2082 +2023-03-04 03:15:37,951 - mmseg - INFO - Iter [33400/160000] lr: 1.500e-04, eta: 7:50:42, time: 0.193, data_time: 0.007, memory: 52540, decode.loss_ce: 0.2060, decode.acc_seg: 91.5291, loss: 0.2060 +2023-03-04 03:15:50,227 - mmseg - INFO - Iter [33450/160000] lr: 1.500e-04, eta: 7:50:35, time: 0.246, data_time: 0.057, memory: 52540, decode.loss_ce: 0.2094, decode.acc_seg: 91.4565, loss: 0.2094 +2023-03-04 03:15:59,744 - mmseg - INFO - Iter [33500/160000] lr: 1.500e-04, eta: 7:50:18, time: 0.190, data_time: 0.007, memory: 52540, decode.loss_ce: 0.2114, decode.acc_seg: 91.4152, loss: 0.2114 +2023-03-04 03:16:09,143 - mmseg - INFO - Iter [33550/160000] lr: 1.500e-04, eta: 7:50:00, time: 0.188, data_time: 0.007, memory: 52540, decode.loss_ce: 0.2121, decode.acc_seg: 91.2062, loss: 0.2121 +2023-03-04 03:16:18,592 - mmseg - INFO - Iter [33600/160000] lr: 1.500e-04, eta: 7:49:43, time: 0.189, data_time: 0.008, memory: 52540, decode.loss_ce: 0.2049, decode.acc_seg: 91.5008, loss: 0.2049 +2023-03-04 03:16:28,099 - mmseg - INFO - Iter [33650/160000] lr: 1.500e-04, eta: 7:49:25, time: 0.190, data_time: 0.007, memory: 52540, decode.loss_ce: 0.2029, decode.acc_seg: 91.6996, loss: 0.2029 +2023-03-04 03:16:37,590 - mmseg - INFO - Iter [33700/160000] lr: 1.500e-04, eta: 7:49:08, time: 0.190, data_time: 0.007, memory: 52540, decode.loss_ce: 0.2064, decode.acc_seg: 91.5280, loss: 0.2064 +2023-03-04 03:16:47,109 - mmseg - INFO - Iter [33750/160000] lr: 1.500e-04, eta: 7:48:51, time: 0.190, data_time: 0.007, memory: 52540, decode.loss_ce: 0.2119, decode.acc_seg: 91.3546, loss: 0.2119 +2023-03-04 03:16:56,723 - mmseg - INFO - Iter [33800/160000] lr: 1.500e-04, eta: 7:48:34, time: 0.192, data_time: 0.008, memory: 52540, decode.loss_ce: 0.2092, decode.acc_seg: 91.5558, loss: 0.2092 +2023-03-04 03:17:06,194 - mmseg - INFO - Iter [33850/160000] lr: 1.500e-04, eta: 7:48:16, time: 0.189, data_time: 0.007, memory: 52540, decode.loss_ce: 0.2109, decode.acc_seg: 91.4951, loss: 0.2109 +2023-03-04 03:17:15,744 - mmseg - INFO - Iter [33900/160000] lr: 1.500e-04, eta: 7:47:59, time: 0.191, data_time: 0.008, memory: 52540, decode.loss_ce: 0.2061, decode.acc_seg: 91.6914, loss: 0.2061 +2023-03-04 03:17:25,253 - mmseg - INFO - Iter [33950/160000] lr: 1.500e-04, eta: 7:47:42, time: 0.190, data_time: 0.008, memory: 52540, decode.loss_ce: 0.2079, decode.acc_seg: 91.5709, loss: 0.2079 +2023-03-04 03:17:34,675 - mmseg - INFO - Exp name: ablation_segformer_mit_b2_segformer_head_unet_fc_small_multi_step_ade_pretrained_freeze_embed_160k_ade20k151_finetune_ema_t50.py +2023-03-04 03:17:34,676 - mmseg - INFO - Iter [34000/160000] lr: 1.500e-04, eta: 7:47:25, time: 0.188, data_time: 0.008, memory: 52540, decode.loss_ce: 0.2135, decode.acc_seg: 91.2514, loss: 0.2135 +2023-03-04 03:17:44,116 - mmseg - INFO - Iter [34050/160000] lr: 1.500e-04, eta: 7:47:07, time: 0.189, data_time: 0.007, memory: 52540, decode.loss_ce: 0.2111, decode.acc_seg: 91.3291, loss: 0.2111 +2023-03-04 03:17:56,423 - mmseg - INFO - Iter [34100/160000] lr: 1.500e-04, eta: 7:47:01, time: 0.246, data_time: 0.055, memory: 52540, decode.loss_ce: 0.2029, decode.acc_seg: 91.6261, loss: 0.2029 +2023-03-04 03:18:06,107 - mmseg - INFO - Iter [34150/160000] lr: 1.500e-04, eta: 7:46:44, time: 0.194, data_time: 0.007, memory: 52540, decode.loss_ce: 0.2083, decode.acc_seg: 91.6792, loss: 0.2083 +2023-03-04 03:18:15,532 - mmseg - INFO - Iter [34200/160000] lr: 1.500e-04, eta: 7:46:27, time: 0.188, data_time: 0.007, memory: 52540, decode.loss_ce: 0.2130, decode.acc_seg: 91.4396, loss: 0.2130 +2023-03-04 03:18:25,103 - mmseg - INFO - Iter [34250/160000] lr: 1.500e-04, eta: 7:46:10, time: 0.191, data_time: 0.008, memory: 52540, decode.loss_ce: 0.2112, decode.acc_seg: 91.6511, loss: 0.2112 +2023-03-04 03:18:34,740 - mmseg - INFO - Iter [34300/160000] lr: 1.500e-04, eta: 7:45:53, time: 0.193, data_time: 0.007, memory: 52540, decode.loss_ce: 0.2092, decode.acc_seg: 91.3542, loss: 0.2092 +2023-03-04 03:18:44,270 - mmseg - INFO - Iter [34350/160000] lr: 1.500e-04, eta: 7:45:36, time: 0.191, data_time: 0.008, memory: 52540, decode.loss_ce: 0.2075, decode.acc_seg: 91.3627, loss: 0.2075 +2023-03-04 03:18:53,710 - mmseg - INFO - Iter [34400/160000] lr: 1.500e-04, eta: 7:45:19, time: 0.189, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1985, decode.acc_seg: 91.9495, loss: 0.1985 +2023-03-04 03:19:03,118 - mmseg - INFO - Iter [34450/160000] lr: 1.500e-04, eta: 7:45:02, time: 0.188, data_time: 0.007, memory: 52540, decode.loss_ce: 0.2181, decode.acc_seg: 91.2403, loss: 0.2181 +2023-03-04 03:19:12,845 - mmseg - INFO - Iter [34500/160000] lr: 1.500e-04, eta: 7:44:46, time: 0.195, data_time: 0.007, memory: 52540, decode.loss_ce: 0.2085, decode.acc_seg: 91.5666, loss: 0.2085 +2023-03-04 03:19:22,447 - mmseg - INFO - Iter [34550/160000] lr: 1.500e-04, eta: 7:44:29, time: 0.192, data_time: 0.008, memory: 52540, decode.loss_ce: 0.1994, decode.acc_seg: 91.7826, loss: 0.1994 +2023-03-04 03:19:31,945 - mmseg - INFO - Iter [34600/160000] lr: 1.500e-04, eta: 7:44:12, time: 0.190, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1977, decode.acc_seg: 91.8693, loss: 0.1977 +2023-03-04 03:19:41,500 - mmseg - INFO - Iter [34650/160000] lr: 1.500e-04, eta: 7:43:55, time: 0.191, data_time: 0.007, memory: 52540, decode.loss_ce: 0.2143, decode.acc_seg: 91.2622, loss: 0.2143 +2023-03-04 03:19:51,360 - mmseg - INFO - Iter [34700/160000] lr: 1.500e-04, eta: 7:43:40, time: 0.197, data_time: 0.008, memory: 52540, decode.loss_ce: 0.2157, decode.acc_seg: 91.1808, loss: 0.2157 +2023-03-04 03:20:03,447 - mmseg - INFO - Iter [34750/160000] lr: 1.500e-04, eta: 7:43:32, time: 0.242, data_time: 0.058, memory: 52540, decode.loss_ce: 0.2084, decode.acc_seg: 91.5793, loss: 0.2084 +2023-03-04 03:20:12,830 - mmseg - INFO - Iter [34800/160000] lr: 1.500e-04, eta: 7:43:15, time: 0.188, data_time: 0.007, memory: 52540, decode.loss_ce: 0.2103, decode.acc_seg: 91.3588, loss: 0.2103 +2023-03-04 03:20:22,476 - mmseg - INFO - Iter [34850/160000] lr: 1.500e-04, eta: 7:42:59, time: 0.193, data_time: 0.007, memory: 52540, decode.loss_ce: 0.2191, decode.acc_seg: 91.1691, loss: 0.2191 +2023-03-04 03:20:31,905 - mmseg - INFO - Iter [34900/160000] lr: 1.500e-04, eta: 7:42:42, time: 0.189, data_time: 0.007, memory: 52540, decode.loss_ce: 0.2059, decode.acc_seg: 91.5993, loss: 0.2059 +2023-03-04 03:20:41,343 - mmseg - INFO - Iter [34950/160000] lr: 1.500e-04, eta: 7:42:25, time: 0.189, data_time: 0.007, memory: 52540, decode.loss_ce: 0.2066, decode.acc_seg: 91.5823, loss: 0.2066 +2023-03-04 03:20:51,727 - mmseg - INFO - Exp name: ablation_segformer_mit_b2_segformer_head_unet_fc_small_multi_step_ade_pretrained_freeze_embed_160k_ade20k151_finetune_ema_t50.py +2023-03-04 03:20:51,727 - mmseg - INFO - Iter [35000/160000] lr: 1.500e-04, eta: 7:42:11, time: 0.207, data_time: 0.008, memory: 52540, decode.loss_ce: 0.2020, decode.acc_seg: 91.7196, loss: 0.2020 +2023-03-04 03:21:01,421 - mmseg - INFO - Iter [35050/160000] lr: 1.500e-04, eta: 7:41:55, time: 0.194, data_time: 0.008, memory: 52540, decode.loss_ce: 0.2124, decode.acc_seg: 91.4328, loss: 0.2124 +2023-03-04 03:21:11,023 - mmseg - INFO - Iter [35100/160000] lr: 1.500e-04, eta: 7:41:39, time: 0.192, data_time: 0.008, memory: 52540, decode.loss_ce: 0.2177, decode.acc_seg: 91.0290, loss: 0.2177 +2023-03-04 03:21:20,643 - mmseg - INFO - Iter [35150/160000] lr: 1.500e-04, eta: 7:41:22, time: 0.192, data_time: 0.007, memory: 52540, decode.loss_ce: 0.2006, decode.acc_seg: 91.7599, loss: 0.2006 +2023-03-04 03:21:30,362 - mmseg - INFO - Iter [35200/160000] lr: 1.500e-04, eta: 7:41:06, time: 0.194, data_time: 0.008, memory: 52540, decode.loss_ce: 0.2082, decode.acc_seg: 91.6293, loss: 0.2082 +2023-03-04 03:21:39,813 - mmseg - INFO - Iter [35250/160000] lr: 1.500e-04, eta: 7:40:49, time: 0.189, data_time: 0.007, memory: 52540, decode.loss_ce: 0.2039, decode.acc_seg: 91.6985, loss: 0.2039 +2023-03-04 03:21:49,553 - mmseg - INFO - Iter [35300/160000] lr: 1.500e-04, eta: 7:40:34, time: 0.195, data_time: 0.008, memory: 52540, decode.loss_ce: 0.2118, decode.acc_seg: 91.3778, loss: 0.2118 +2023-03-04 03:22:01,465 - mmseg - INFO - Iter [35350/160000] lr: 1.500e-04, eta: 7:40:25, time: 0.238, data_time: 0.054, memory: 52540, decode.loss_ce: 0.2129, decode.acc_seg: 91.4710, loss: 0.2129 +2023-03-04 03:22:10,922 - mmseg - INFO - Iter [35400/160000] lr: 1.500e-04, eta: 7:40:09, time: 0.189, data_time: 0.007, memory: 52540, decode.loss_ce: 0.2140, decode.acc_seg: 91.4612, loss: 0.2140 +2023-03-04 03:22:20,641 - mmseg - INFO - Iter [35450/160000] lr: 1.500e-04, eta: 7:39:53, time: 0.194, data_time: 0.007, memory: 52540, decode.loss_ce: 0.2081, decode.acc_seg: 91.5804, loss: 0.2081 +2023-03-04 03:22:30,113 - mmseg - INFO - Iter [35500/160000] lr: 1.500e-04, eta: 7:39:36, time: 0.189, data_time: 0.007, memory: 52540, decode.loss_ce: 0.2051, decode.acc_seg: 91.6067, loss: 0.2051 +2023-03-04 03:22:39,602 - mmseg - INFO - Iter [35550/160000] lr: 1.500e-04, eta: 7:39:19, time: 0.190, data_time: 0.008, memory: 52540, decode.loss_ce: 0.2065, decode.acc_seg: 91.5191, loss: 0.2065 +2023-03-04 03:22:49,428 - mmseg - INFO - Iter [35600/160000] lr: 1.500e-04, eta: 7:39:04, time: 0.196, data_time: 0.008, memory: 52540, decode.loss_ce: 0.2023, decode.acc_seg: 91.7520, loss: 0.2023 +2023-03-04 03:22:59,199 - mmseg - INFO - Iter [35650/160000] lr: 1.500e-04, eta: 7:38:48, time: 0.196, data_time: 0.008, memory: 52540, decode.loss_ce: 0.2102, decode.acc_seg: 91.3853, loss: 0.2102 +2023-03-04 03:23:08,695 - mmseg - INFO - Iter [35700/160000] lr: 1.500e-04, eta: 7:38:32, time: 0.190, data_time: 0.007, memory: 52540, decode.loss_ce: 0.2067, decode.acc_seg: 91.6244, loss: 0.2067 +2023-03-04 03:23:18,430 - mmseg - INFO - Iter [35750/160000] lr: 1.500e-04, eta: 7:38:16, time: 0.195, data_time: 0.008, memory: 52540, decode.loss_ce: 0.2086, decode.acc_seg: 91.4027, loss: 0.2086 +2023-03-04 03:23:28,083 - mmseg - INFO - Iter [35800/160000] lr: 1.500e-04, eta: 7:38:00, time: 0.193, data_time: 0.007, memory: 52540, decode.loss_ce: 0.2064, decode.acc_seg: 91.5998, loss: 0.2064 +2023-03-04 03:23:37,453 - mmseg - INFO - Iter [35850/160000] lr: 1.500e-04, eta: 7:37:43, time: 0.187, data_time: 0.007, memory: 52540, decode.loss_ce: 0.2118, decode.acc_seg: 91.3904, loss: 0.2118 +2023-03-04 03:23:46,959 - mmseg - INFO - Iter [35900/160000] lr: 1.500e-04, eta: 7:37:27, time: 0.190, data_time: 0.007, memory: 52540, decode.loss_ce: 0.2063, decode.acc_seg: 91.6178, loss: 0.2063 +2023-03-04 03:23:56,402 - mmseg - INFO - Iter [35950/160000] lr: 1.500e-04, eta: 7:37:10, time: 0.189, data_time: 0.007, memory: 52540, decode.loss_ce: 0.2069, decode.acc_seg: 91.5933, loss: 0.2069 +2023-03-04 03:24:08,572 - mmseg - INFO - Exp name: ablation_segformer_mit_b2_segformer_head_unet_fc_small_multi_step_ade_pretrained_freeze_embed_160k_ade20k151_finetune_ema_t50.py +2023-03-04 03:24:08,572 - mmseg - INFO - Iter [36000/160000] lr: 1.500e-04, eta: 7:37:03, time: 0.243, data_time: 0.056, memory: 52540, decode.loss_ce: 0.2038, decode.acc_seg: 91.5567, loss: 0.2038 +2023-03-04 03:24:18,201 - mmseg - INFO - Iter [36050/160000] lr: 1.500e-04, eta: 7:36:47, time: 0.193, data_time: 0.007, memory: 52540, decode.loss_ce: 0.2061, decode.acc_seg: 91.5680, loss: 0.2061 +2023-03-04 03:24:28,065 - mmseg - INFO - Iter [36100/160000] lr: 1.500e-04, eta: 7:36:32, time: 0.197, data_time: 0.007, memory: 52540, decode.loss_ce: 0.2048, decode.acc_seg: 91.5556, loss: 0.2048 +2023-03-04 03:24:37,716 - mmseg - INFO - Iter [36150/160000] lr: 1.500e-04, eta: 7:36:16, time: 0.193, data_time: 0.007, memory: 52540, decode.loss_ce: 0.2074, decode.acc_seg: 91.5256, loss: 0.2074 +2023-03-04 03:24:47,449 - mmseg - INFO - Iter [36200/160000] lr: 1.500e-04, eta: 7:36:00, time: 0.195, data_time: 0.007, memory: 52540, decode.loss_ce: 0.2097, decode.acc_seg: 91.3702, loss: 0.2097 +2023-03-04 03:24:56,912 - mmseg - INFO - Iter [36250/160000] lr: 1.500e-04, eta: 7:35:44, time: 0.189, data_time: 0.008, memory: 52540, decode.loss_ce: 0.2102, decode.acc_seg: 91.4244, loss: 0.2102 +2023-03-04 03:25:06,656 - mmseg - INFO - Iter [36300/160000] lr: 1.500e-04, eta: 7:35:28, time: 0.195, data_time: 0.008, memory: 52540, decode.loss_ce: 0.2042, decode.acc_seg: 91.4812, loss: 0.2042 +2023-03-04 03:25:16,276 - mmseg - INFO - Iter [36350/160000] lr: 1.500e-04, eta: 7:35:13, time: 0.193, data_time: 0.007, memory: 52540, decode.loss_ce: 0.2150, decode.acc_seg: 91.3310, loss: 0.2150 +2023-03-04 03:25:25,818 - mmseg - INFO - Iter [36400/160000] lr: 1.500e-04, eta: 7:34:56, time: 0.191, data_time: 0.007, memory: 52540, decode.loss_ce: 0.2001, decode.acc_seg: 91.7060, loss: 0.2001 +2023-03-04 03:25:35,571 - mmseg - INFO - Iter [36450/160000] lr: 1.500e-04, eta: 7:34:41, time: 0.195, data_time: 0.008, memory: 52540, decode.loss_ce: 0.2148, decode.acc_seg: 91.1762, loss: 0.2148 +2023-03-04 03:25:45,000 - mmseg - INFO - Iter [36500/160000] lr: 1.500e-04, eta: 7:34:25, time: 0.189, data_time: 0.007, memory: 52540, decode.loss_ce: 0.2121, decode.acc_seg: 91.4320, loss: 0.2121 +2023-03-04 03:25:54,567 - mmseg - INFO - Iter [36550/160000] lr: 1.500e-04, eta: 7:34:09, time: 0.191, data_time: 0.008, memory: 52540, decode.loss_ce: 0.2236, decode.acc_seg: 91.1386, loss: 0.2236 +2023-03-04 03:26:06,707 - mmseg - INFO - Iter [36600/160000] lr: 1.500e-04, eta: 7:34:01, time: 0.243, data_time: 0.057, memory: 52540, decode.loss_ce: 0.2006, decode.acc_seg: 91.8031, loss: 0.2006 +2023-03-04 03:26:16,275 - mmseg - INFO - Iter [36650/160000] lr: 1.500e-04, eta: 7:33:45, time: 0.191, data_time: 0.007, memory: 52540, decode.loss_ce: 0.2089, decode.acc_seg: 91.5242, loss: 0.2089 +2023-03-04 03:26:25,869 - mmseg - INFO - Iter [36700/160000] lr: 1.500e-04, eta: 7:33:29, time: 0.192, data_time: 0.007, memory: 52540, decode.loss_ce: 0.2154, decode.acc_seg: 91.4140, loss: 0.2154 +2023-03-04 03:26:35,261 - mmseg - INFO - Iter [36750/160000] lr: 1.500e-04, eta: 7:33:13, time: 0.188, data_time: 0.007, memory: 52540, decode.loss_ce: 0.2116, decode.acc_seg: 91.3642, loss: 0.2116 +2023-03-04 03:26:44,780 - mmseg - INFO - Iter [36800/160000] lr: 1.500e-04, eta: 7:32:57, time: 0.190, data_time: 0.007, memory: 52540, decode.loss_ce: 0.2044, decode.acc_seg: 91.7458, loss: 0.2044 +2023-03-04 03:26:54,167 - mmseg - INFO - Iter [36850/160000] lr: 1.500e-04, eta: 7:32:40, time: 0.188, data_time: 0.007, memory: 52540, decode.loss_ce: 0.2093, decode.acc_seg: 91.5394, loss: 0.2093 +2023-03-04 03:27:03,648 - mmseg - INFO - Iter [36900/160000] lr: 1.500e-04, eta: 7:32:24, time: 0.190, data_time: 0.007, memory: 52540, decode.loss_ce: 0.2112, decode.acc_seg: 91.3854, loss: 0.2112 +2023-03-04 03:27:13,332 - mmseg - INFO - Iter [36950/160000] lr: 1.500e-04, eta: 7:32:08, time: 0.193, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1938, decode.acc_seg: 91.9999, loss: 0.1938 +2023-03-04 03:27:22,728 - mmseg - INFO - Exp name: ablation_segformer_mit_b2_segformer_head_unet_fc_small_multi_step_ade_pretrained_freeze_embed_160k_ade20k151_finetune_ema_t50.py +2023-03-04 03:27:22,729 - mmseg - INFO - Iter [37000/160000] lr: 1.500e-04, eta: 7:31:52, time: 0.188, data_time: 0.008, memory: 52540, decode.loss_ce: 0.2101, decode.acc_seg: 91.4697, loss: 0.2101 +2023-03-04 03:27:32,176 - mmseg - INFO - Iter [37050/160000] lr: 1.500e-04, eta: 7:31:36, time: 0.189, data_time: 0.008, memory: 52540, decode.loss_ce: 0.2008, decode.acc_seg: 91.6254, loss: 0.2008 +2023-03-04 03:27:41,648 - mmseg - INFO - Iter [37100/160000] lr: 1.500e-04, eta: 7:31:20, time: 0.189, data_time: 0.008, memory: 52540, decode.loss_ce: 0.2147, decode.acc_seg: 91.1692, loss: 0.2147 +2023-03-04 03:27:51,182 - mmseg - INFO - Iter [37150/160000] lr: 1.500e-04, eta: 7:31:04, time: 0.190, data_time: 0.007, memory: 52540, decode.loss_ce: 0.2006, decode.acc_seg: 91.7826, loss: 0.2006 +2023-03-04 03:28:00,871 - mmseg - INFO - Iter [37200/160000] lr: 1.500e-04, eta: 7:30:48, time: 0.194, data_time: 0.008, memory: 52540, decode.loss_ce: 0.2066, decode.acc_seg: 91.5882, loss: 0.2066 +2023-03-04 03:28:13,033 - mmseg - INFO - Iter [37250/160000] lr: 1.500e-04, eta: 7:30:41, time: 0.243, data_time: 0.054, memory: 52540, decode.loss_ce: 0.2150, decode.acc_seg: 91.1329, loss: 0.2150 +2023-03-04 03:28:22,580 - mmseg - INFO - Iter [37300/160000] lr: 1.500e-04, eta: 7:30:25, time: 0.191, data_time: 0.008, memory: 52540, decode.loss_ce: 0.2133, decode.acc_seg: 91.2518, loss: 0.2133 +2023-03-04 03:28:32,023 - mmseg - INFO - Iter [37350/160000] lr: 1.500e-04, eta: 7:30:09, time: 0.189, data_time: 0.007, memory: 52540, decode.loss_ce: 0.2106, decode.acc_seg: 91.3877, loss: 0.2106 +2023-03-04 03:28:41,545 - mmseg - INFO - Iter [37400/160000] lr: 1.500e-04, eta: 7:29:53, time: 0.190, data_time: 0.008, memory: 52540, decode.loss_ce: 0.2093, decode.acc_seg: 91.4885, loss: 0.2093 +2023-03-04 03:28:50,989 - mmseg - INFO - Iter [37450/160000] lr: 1.500e-04, eta: 7:29:37, time: 0.189, data_time: 0.007, memory: 52540, decode.loss_ce: 0.2134, decode.acc_seg: 91.4089, loss: 0.2134 +2023-03-04 03:29:00,613 - mmseg - INFO - Iter [37500/160000] lr: 1.500e-04, eta: 7:29:22, time: 0.192, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1978, decode.acc_seg: 91.9416, loss: 0.1978 +2023-03-04 03:29:10,449 - mmseg - INFO - Iter [37550/160000] lr: 1.500e-04, eta: 7:29:07, time: 0.197, data_time: 0.008, memory: 52540, decode.loss_ce: 0.1978, decode.acc_seg: 91.9197, loss: 0.1978 +2023-03-04 03:29:20,053 - mmseg - INFO - Iter [37600/160000] lr: 1.500e-04, eta: 7:28:51, time: 0.192, data_time: 0.008, memory: 52540, decode.loss_ce: 0.2019, decode.acc_seg: 91.8141, loss: 0.2019 +2023-03-04 03:29:29,878 - mmseg - INFO - Iter [37650/160000] lr: 1.500e-04, eta: 7:28:36, time: 0.196, data_time: 0.008, memory: 52540, decode.loss_ce: 0.2123, decode.acc_seg: 91.2626, loss: 0.2123 +2023-03-04 03:29:39,618 - mmseg - INFO - Iter [37700/160000] lr: 1.500e-04, eta: 7:28:21, time: 0.195, data_time: 0.008, memory: 52540, decode.loss_ce: 0.2093, decode.acc_seg: 91.5193, loss: 0.2093 +2023-03-04 03:29:49,077 - mmseg - INFO - Iter [37750/160000] lr: 1.500e-04, eta: 7:28:05, time: 0.189, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1941, decode.acc_seg: 92.0119, loss: 0.1941 +2023-03-04 03:29:58,630 - mmseg - INFO - Iter [37800/160000] lr: 1.500e-04, eta: 7:27:50, time: 0.191, data_time: 0.008, memory: 52540, decode.loss_ce: 0.2160, decode.acc_seg: 91.2408, loss: 0.2160 +2023-03-04 03:30:08,081 - mmseg - INFO - Iter [37850/160000] lr: 1.500e-04, eta: 7:27:34, time: 0.189, data_time: 0.008, memory: 52540, decode.loss_ce: 0.2045, decode.acc_seg: 91.5420, loss: 0.2045 +2023-03-04 03:30:19,978 - mmseg - INFO - Iter [37900/160000] lr: 1.500e-04, eta: 7:27:26, time: 0.238, data_time: 0.055, memory: 52540, decode.loss_ce: 0.2016, decode.acc_seg: 91.7803, loss: 0.2016 +2023-03-04 03:30:29,532 - mmseg - INFO - Iter [37950/160000] lr: 1.500e-04, eta: 7:27:10, time: 0.191, data_time: 0.008, memory: 52540, decode.loss_ce: 0.2041, decode.acc_seg: 91.5539, loss: 0.2041 +2023-03-04 03:30:38,916 - mmseg - INFO - Exp name: ablation_segformer_mit_b2_segformer_head_unet_fc_small_multi_step_ade_pretrained_freeze_embed_160k_ade20k151_finetune_ema_t50.py +2023-03-04 03:30:38,916 - mmseg - INFO - Iter [38000/160000] lr: 1.500e-04, eta: 7:26:54, time: 0.188, data_time: 0.007, memory: 52540, decode.loss_ce: 0.2090, decode.acc_seg: 91.4563, loss: 0.2090 +2023-03-04 03:30:48,340 - mmseg - INFO - Iter [38050/160000] lr: 1.500e-04, eta: 7:26:38, time: 0.188, data_time: 0.007, memory: 52540, decode.loss_ce: 0.2060, decode.acc_seg: 91.6113, loss: 0.2060 +2023-03-04 03:30:57,894 - mmseg - INFO - Iter [38100/160000] lr: 1.500e-04, eta: 7:26:22, time: 0.191, data_time: 0.008, memory: 52540, decode.loss_ce: 0.2030, decode.acc_seg: 91.6740, loss: 0.2030 +2023-03-04 03:31:07,432 - mmseg - INFO - Iter [38150/160000] lr: 1.500e-04, eta: 7:26:07, time: 0.191, data_time: 0.008, memory: 52540, decode.loss_ce: 0.2107, decode.acc_seg: 91.5415, loss: 0.2107 +2023-03-04 03:31:17,027 - mmseg - INFO - Iter [38200/160000] lr: 1.500e-04, eta: 7:25:51, time: 0.192, data_time: 0.007, memory: 52540, decode.loss_ce: 0.2010, decode.acc_seg: 91.7095, loss: 0.2010 +2023-03-04 03:31:26,638 - mmseg - INFO - Iter [38250/160000] lr: 1.500e-04, eta: 7:25:36, time: 0.192, data_time: 0.008, memory: 52540, decode.loss_ce: 0.2119, decode.acc_seg: 91.2190, loss: 0.2119 +2023-03-04 03:31:36,103 - mmseg - INFO - Iter [38300/160000] lr: 1.500e-04, eta: 7:25:20, time: 0.189, data_time: 0.007, memory: 52540, decode.loss_ce: 0.2200, decode.acc_seg: 91.2394, loss: 0.2200 +2023-03-04 03:31:45,609 - mmseg - INFO - Iter [38350/160000] lr: 1.500e-04, eta: 7:25:04, time: 0.190, data_time: 0.008, memory: 52540, decode.loss_ce: 0.2021, decode.acc_seg: 91.7586, loss: 0.2021 +2023-03-04 03:31:55,290 - mmseg - INFO - Iter [38400/160000] lr: 1.500e-04, eta: 7:24:49, time: 0.194, data_time: 0.008, memory: 52540, decode.loss_ce: 0.2199, decode.acc_seg: 91.1075, loss: 0.2199 +2023-03-04 03:32:05,040 - mmseg - INFO - Iter [38450/160000] lr: 1.500e-04, eta: 7:24:34, time: 0.195, data_time: 0.007, memory: 52540, decode.loss_ce: 0.2113, decode.acc_seg: 91.5594, loss: 0.2113 +2023-03-04 03:32:17,213 - mmseg - INFO - Iter [38500/160000] lr: 1.500e-04, eta: 7:24:27, time: 0.243, data_time: 0.055, memory: 52540, decode.loss_ce: 0.2125, decode.acc_seg: 91.5034, loss: 0.2125 +2023-03-04 03:32:26,868 - mmseg - INFO - Iter [38550/160000] lr: 1.500e-04, eta: 7:24:12, time: 0.193, data_time: 0.007, memory: 52540, decode.loss_ce: 0.2012, decode.acc_seg: 91.8395, loss: 0.2012 +2023-03-04 03:32:36,523 - mmseg - INFO - Iter [38600/160000] lr: 1.500e-04, eta: 7:23:57, time: 0.193, data_time: 0.008, memory: 52540, decode.loss_ce: 0.1979, decode.acc_seg: 91.8523, loss: 0.1979 +2023-03-04 03:32:45,922 - mmseg - INFO - Iter [38650/160000] lr: 1.500e-04, eta: 7:23:41, time: 0.188, data_time: 0.007, memory: 52540, decode.loss_ce: 0.2049, decode.acc_seg: 91.4757, loss: 0.2049 +2023-03-04 03:32:55,479 - mmseg - INFO - Iter [38700/160000] lr: 1.500e-04, eta: 7:23:26, time: 0.191, data_time: 0.008, memory: 52540, decode.loss_ce: 0.2046, decode.acc_seg: 91.6512, loss: 0.2046 +2023-03-04 03:33:05,291 - mmseg - INFO - Iter [38750/160000] lr: 1.500e-04, eta: 7:23:11, time: 0.196, data_time: 0.007, memory: 52540, decode.loss_ce: 0.2128, decode.acc_seg: 91.3155, loss: 0.2128 +2023-03-04 03:33:14,993 - mmseg - INFO - Iter [38800/160000] lr: 1.500e-04, eta: 7:22:56, time: 0.194, data_time: 0.008, memory: 52540, decode.loss_ce: 0.2098, decode.acc_seg: 91.5265, loss: 0.2098 +2023-03-04 03:33:24,422 - mmseg - INFO - Iter [38850/160000] lr: 1.500e-04, eta: 7:22:40, time: 0.189, data_time: 0.007, memory: 52540, decode.loss_ce: 0.2137, decode.acc_seg: 91.5671, loss: 0.2137 +2023-03-04 03:33:33,899 - mmseg - INFO - Iter [38900/160000] lr: 1.500e-04, eta: 7:22:25, time: 0.190, data_time: 0.007, memory: 52540, decode.loss_ce: 0.2072, decode.acc_seg: 91.4569, loss: 0.2072 +2023-03-04 03:33:43,416 - mmseg - INFO - Iter [38950/160000] lr: 1.500e-04, eta: 7:22:09, time: 0.190, data_time: 0.008, memory: 52540, decode.loss_ce: 0.2063, decode.acc_seg: 91.4671, loss: 0.2063 +2023-03-04 03:33:52,976 - mmseg - INFO - Exp name: ablation_segformer_mit_b2_segformer_head_unet_fc_small_multi_step_ade_pretrained_freeze_embed_160k_ade20k151_finetune_ema_t50.py +2023-03-04 03:33:52,976 - mmseg - INFO - Iter [39000/160000] lr: 1.500e-04, eta: 7:21:54, time: 0.191, data_time: 0.007, memory: 52540, decode.loss_ce: 0.2096, decode.acc_seg: 91.4975, loss: 0.2096 +2023-03-04 03:34:02,426 - mmseg - INFO - Iter [39050/160000] lr: 1.500e-04, eta: 7:21:39, time: 0.189, data_time: 0.007, memory: 52540, decode.loss_ce: 0.2089, decode.acc_seg: 91.4060, loss: 0.2089 +2023-03-04 03:34:11,850 - mmseg - INFO - Iter [39100/160000] lr: 1.500e-04, eta: 7:21:23, time: 0.188, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1937, decode.acc_seg: 91.9493, loss: 0.1937 +2023-03-04 03:34:24,223 - mmseg - INFO - Iter [39150/160000] lr: 1.500e-04, eta: 7:21:16, time: 0.248, data_time: 0.056, memory: 52540, decode.loss_ce: 0.2123, decode.acc_seg: 91.4404, loss: 0.2123 +2023-03-04 03:34:33,813 - mmseg - INFO - Iter [39200/160000] lr: 1.500e-04, eta: 7:21:01, time: 0.192, data_time: 0.007, memory: 52540, decode.loss_ce: 0.2013, decode.acc_seg: 91.7135, loss: 0.2013 +2023-03-04 03:34:43,193 - mmseg - INFO - Iter [39250/160000] lr: 1.500e-04, eta: 7:20:45, time: 0.188, data_time: 0.007, memory: 52540, decode.loss_ce: 0.2085, decode.acc_seg: 91.4794, loss: 0.2085 +2023-03-04 03:34:52,748 - mmseg - INFO - Iter [39300/160000] lr: 1.500e-04, eta: 7:20:30, time: 0.191, data_time: 0.007, memory: 52540, decode.loss_ce: 0.2061, decode.acc_seg: 91.5452, loss: 0.2061 +2023-03-04 03:35:02,663 - mmseg - INFO - Iter [39350/160000] lr: 1.500e-04, eta: 7:20:16, time: 0.198, data_time: 0.007, memory: 52540, decode.loss_ce: 0.2030, decode.acc_seg: 91.7295, loss: 0.2030 +2023-03-04 03:35:12,519 - mmseg - INFO - Iter [39400/160000] lr: 1.500e-04, eta: 7:20:02, time: 0.197, data_time: 0.008, memory: 52540, decode.loss_ce: 0.2054, decode.acc_seg: 91.5316, loss: 0.2054 +2023-03-04 03:35:22,350 - mmseg - INFO - Iter [39450/160000] lr: 1.500e-04, eta: 7:19:47, time: 0.197, data_time: 0.008, memory: 52540, decode.loss_ce: 0.2113, decode.acc_seg: 91.2342, loss: 0.2113 +2023-03-04 03:35:31,917 - mmseg - INFO - Iter [39500/160000] lr: 1.500e-04, eta: 7:19:32, time: 0.191, data_time: 0.007, memory: 52540, decode.loss_ce: 0.2084, decode.acc_seg: 91.5406, loss: 0.2084 +2023-03-04 03:35:41,682 - mmseg - INFO - Iter [39550/160000] lr: 1.500e-04, eta: 7:19:18, time: 0.195, data_time: 0.008, memory: 52540, decode.loss_ce: 0.2111, decode.acc_seg: 91.3600, loss: 0.2111 +2023-03-04 03:35:51,354 - mmseg - INFO - Iter [39600/160000] lr: 1.500e-04, eta: 7:19:03, time: 0.193, data_time: 0.007, memory: 52540, decode.loss_ce: 0.2055, decode.acc_seg: 91.7216, loss: 0.2055 +2023-03-04 03:36:01,018 - mmseg - INFO - Iter [39650/160000] lr: 1.500e-04, eta: 7:18:48, time: 0.193, data_time: 0.008, memory: 52540, decode.loss_ce: 0.2104, decode.acc_seg: 91.3178, loss: 0.2104 +2023-03-04 03:36:10,562 - mmseg - INFO - Iter [39700/160000] lr: 1.500e-04, eta: 7:18:33, time: 0.191, data_time: 0.007, memory: 52540, decode.loss_ce: 0.2204, decode.acc_seg: 91.0424, loss: 0.2204 +2023-03-04 03:36:20,290 - mmseg - INFO - Iter [39750/160000] lr: 1.500e-04, eta: 7:18:18, time: 0.195, data_time: 0.008, memory: 52540, decode.loss_ce: 0.2097, decode.acc_seg: 91.5270, loss: 0.2097 +2023-03-04 03:36:32,263 - mmseg - INFO - Iter [39800/160000] lr: 1.500e-04, eta: 7:18:10, time: 0.239, data_time: 0.054, memory: 52540, decode.loss_ce: 0.2140, decode.acc_seg: 91.1968, loss: 0.2140 +2023-03-04 03:36:41,882 - mmseg - INFO - Iter [39850/160000] lr: 1.500e-04, eta: 7:17:56, time: 0.192, data_time: 0.007, memory: 52540, decode.loss_ce: 0.2056, decode.acc_seg: 91.5916, loss: 0.2056 +2023-03-04 03:36:51,681 - mmseg - INFO - Iter [39900/160000] lr: 1.500e-04, eta: 7:17:41, time: 0.196, data_time: 0.007, memory: 52540, decode.loss_ce: 0.2147, decode.acc_seg: 91.2745, loss: 0.2147 +2023-03-04 03:37:01,165 - mmseg - INFO - Iter [39950/160000] lr: 1.500e-04, eta: 7:17:26, time: 0.189, data_time: 0.007, memory: 52540, decode.loss_ce: 0.2083, decode.acc_seg: 91.5525, loss: 0.2083 +2023-03-04 03:37:10,699 - mmseg - INFO - Exp name: ablation_segformer_mit_b2_segformer_head_unet_fc_small_multi_step_ade_pretrained_freeze_embed_160k_ade20k151_finetune_ema_t50.py +2023-03-04 03:37:10,699 - mmseg - INFO - Iter [40000/160000] lr: 1.500e-04, eta: 7:17:11, time: 0.191, data_time: 0.008, memory: 52540, decode.loss_ce: 0.2088, decode.acc_seg: 91.4179, loss: 0.2088 +2023-03-04 03:37:20,128 - mmseg - INFO - Iter [40050/160000] lr: 1.500e-04, eta: 7:16:55, time: 0.189, data_time: 0.007, memory: 52540, decode.loss_ce: 0.2020, decode.acc_seg: 91.7543, loss: 0.2020 +2023-03-04 03:37:29,559 - mmseg - INFO - Iter [40100/160000] lr: 1.500e-04, eta: 7:16:40, time: 0.189, data_time: 0.007, memory: 52540, decode.loss_ce: 0.2039, decode.acc_seg: 91.6867, loss: 0.2039 +2023-03-04 03:37:38,933 - mmseg - INFO - Iter [40150/160000] lr: 1.500e-04, eta: 7:16:24, time: 0.187, data_time: 0.007, memory: 52540, decode.loss_ce: 0.2019, decode.acc_seg: 91.5338, loss: 0.2019 +2023-03-04 03:37:48,635 - mmseg - INFO - Iter [40200/160000] lr: 1.500e-04, eta: 7:16:10, time: 0.194, data_time: 0.007, memory: 52540, decode.loss_ce: 0.2069, decode.acc_seg: 91.5662, loss: 0.2069 +2023-03-04 03:37:58,072 - mmseg - INFO - Iter [40250/160000] lr: 1.500e-04, eta: 7:15:54, time: 0.189, data_time: 0.008, memory: 52540, decode.loss_ce: 0.2124, decode.acc_seg: 91.3367, loss: 0.2124 +2023-03-04 03:38:07,704 - mmseg - INFO - Iter [40300/160000] lr: 1.500e-04, eta: 7:15:40, time: 0.193, data_time: 0.007, memory: 52540, decode.loss_ce: 0.2112, decode.acc_seg: 91.4430, loss: 0.2112 +2023-03-04 03:38:17,247 - mmseg - INFO - Iter [40350/160000] lr: 1.500e-04, eta: 7:15:25, time: 0.191, data_time: 0.007, memory: 52540, decode.loss_ce: 0.2032, decode.acc_seg: 91.7349, loss: 0.2032 +2023-03-04 03:38:29,405 - mmseg - INFO - Iter [40400/160000] lr: 1.500e-04, eta: 7:15:17, time: 0.243, data_time: 0.056, memory: 52540, decode.loss_ce: 0.2093, decode.acc_seg: 91.6489, loss: 0.2093 +2023-03-04 03:38:38,992 - mmseg - INFO - Iter [40450/160000] lr: 1.500e-04, eta: 7:15:03, time: 0.192, data_time: 0.007, memory: 52540, decode.loss_ce: 0.2074, decode.acc_seg: 91.5679, loss: 0.2074 +2023-03-04 03:38:48,356 - mmseg - INFO - Iter [40500/160000] lr: 1.500e-04, eta: 7:14:47, time: 0.187, data_time: 0.008, memory: 52540, decode.loss_ce: 0.2037, decode.acc_seg: 91.6124, loss: 0.2037 +2023-03-04 03:38:57,788 - mmseg - INFO - Iter [40550/160000] lr: 1.500e-04, eta: 7:14:32, time: 0.189, data_time: 0.007, memory: 52540, decode.loss_ce: 0.2103, decode.acc_seg: 91.3581, loss: 0.2103 +2023-03-04 03:39:07,628 - mmseg - INFO - Iter [40600/160000] lr: 1.500e-04, eta: 7:14:18, time: 0.197, data_time: 0.008, memory: 52540, decode.loss_ce: 0.2039, decode.acc_seg: 91.6471, loss: 0.2039 +2023-03-04 03:39:17,225 - mmseg - INFO - Iter [40650/160000] lr: 1.500e-04, eta: 7:14:03, time: 0.192, data_time: 0.007, memory: 52540, decode.loss_ce: 0.2141, decode.acc_seg: 91.3665, loss: 0.2141 +2023-03-04 03:39:26,954 - mmseg - INFO - Iter [40700/160000] lr: 1.500e-04, eta: 7:13:49, time: 0.195, data_time: 0.007, memory: 52540, decode.loss_ce: 0.2054, decode.acc_seg: 91.6606, loss: 0.2054 +2023-03-04 03:39:36,478 - mmseg - INFO - Iter [40750/160000] lr: 1.500e-04, eta: 7:13:34, time: 0.190, data_time: 0.007, memory: 52540, decode.loss_ce: 0.2014, decode.acc_seg: 91.6859, loss: 0.2014 +2023-03-04 03:39:46,226 - mmseg - INFO - Iter [40800/160000] lr: 1.500e-04, eta: 7:13:19, time: 0.195, data_time: 0.007, memory: 52540, decode.loss_ce: 0.2106, decode.acc_seg: 91.4266, loss: 0.2106 +2023-03-04 03:39:55,817 - mmseg - INFO - Iter [40850/160000] lr: 1.500e-04, eta: 7:13:05, time: 0.192, data_time: 0.008, memory: 52540, decode.loss_ce: 0.2079, decode.acc_seg: 91.3563, loss: 0.2079 +2023-03-04 03:40:05,318 - mmseg - INFO - Iter [40900/160000] lr: 1.500e-04, eta: 7:12:50, time: 0.190, data_time: 0.007, memory: 52540, decode.loss_ce: 0.2022, decode.acc_seg: 91.7500, loss: 0.2022 +2023-03-04 03:40:14,813 - mmseg - INFO - Iter [40950/160000] lr: 1.500e-04, eta: 7:12:35, time: 0.190, data_time: 0.008, memory: 52540, decode.loss_ce: 0.2136, decode.acc_seg: 91.2564, loss: 0.2136 +2023-03-04 03:40:24,566 - mmseg - INFO - Exp name: ablation_segformer_mit_b2_segformer_head_unet_fc_small_multi_step_ade_pretrained_freeze_embed_160k_ade20k151_finetune_ema_t50.py +2023-03-04 03:40:24,566 - mmseg - INFO - Iter [41000/160000] lr: 1.500e-04, eta: 7:12:20, time: 0.195, data_time: 0.007, memory: 52540, decode.loss_ce: 0.2013, decode.acc_seg: 91.8775, loss: 0.2013 +2023-03-04 03:40:36,403 - mmseg - INFO - Iter [41050/160000] lr: 1.500e-04, eta: 7:12:12, time: 0.237, data_time: 0.056, memory: 52540, decode.loss_ce: 0.2191, decode.acc_seg: 91.0643, loss: 0.2191 +2023-03-04 03:40:45,939 - mmseg - INFO - Iter [41100/160000] lr: 1.500e-04, eta: 7:11:57, time: 0.191, data_time: 0.007, memory: 52540, decode.loss_ce: 0.2041, decode.acc_seg: 91.6009, loss: 0.2041 +2023-03-04 03:40:56,031 - mmseg - INFO - Iter [41150/160000] lr: 1.500e-04, eta: 7:11:44, time: 0.202, data_time: 0.007, memory: 52540, decode.loss_ce: 0.2116, decode.acc_seg: 91.4306, loss: 0.2116 +2023-03-04 03:41:05,581 - mmseg - INFO - Iter [41200/160000] lr: 1.500e-04, eta: 7:11:29, time: 0.191, data_time: 0.007, memory: 52540, decode.loss_ce: 0.2050, decode.acc_seg: 91.6076, loss: 0.2050 +2023-03-04 03:41:15,475 - mmseg - INFO - Iter [41250/160000] lr: 1.500e-04, eta: 7:11:16, time: 0.198, data_time: 0.007, memory: 52540, decode.loss_ce: 0.2121, decode.acc_seg: 91.4322, loss: 0.2121 +2023-03-04 03:41:25,112 - mmseg - INFO - Iter [41300/160000] lr: 1.500e-04, eta: 7:11:01, time: 0.193, data_time: 0.007, memory: 52540, decode.loss_ce: 0.2059, decode.acc_seg: 91.6178, loss: 0.2059 +2023-03-04 03:41:34,649 - mmseg - INFO - Iter [41350/160000] lr: 1.500e-04, eta: 7:10:46, time: 0.191, data_time: 0.007, memory: 52540, decode.loss_ce: 0.2085, decode.acc_seg: 91.5434, loss: 0.2085 +2023-03-04 03:41:44,198 - mmseg - INFO - Iter [41400/160000] lr: 1.500e-04, eta: 7:10:32, time: 0.191, data_time: 0.007, memory: 52540, decode.loss_ce: 0.2055, decode.acc_seg: 91.6955, loss: 0.2055 +2023-03-04 03:41:53,620 - mmseg - INFO - Iter [41450/160000] lr: 1.500e-04, eta: 7:10:16, time: 0.188, data_time: 0.007, memory: 52540, decode.loss_ce: 0.2048, decode.acc_seg: 91.5218, loss: 0.2048 +2023-03-04 03:42:03,351 - mmseg - INFO - Iter [41500/160000] lr: 1.500e-04, eta: 7:10:02, time: 0.195, data_time: 0.007, memory: 52540, decode.loss_ce: 0.2072, decode.acc_seg: 91.4183, loss: 0.2072 +2023-03-04 03:42:13,060 - mmseg - INFO - Iter [41550/160000] lr: 1.500e-04, eta: 7:09:48, time: 0.194, data_time: 0.008, memory: 52540, decode.loss_ce: 0.2012, decode.acc_seg: 91.7414, loss: 0.2012 +2023-03-04 03:42:22,561 - mmseg - INFO - Iter [41600/160000] lr: 1.500e-04, eta: 7:09:33, time: 0.190, data_time: 0.008, memory: 52540, decode.loss_ce: 0.2042, decode.acc_seg: 91.7324, loss: 0.2042 +2023-03-04 03:42:34,848 - mmseg - INFO - Iter [41650/160000] lr: 1.500e-04, eta: 7:09:26, time: 0.245, data_time: 0.053, memory: 52540, decode.loss_ce: 0.2014, decode.acc_seg: 91.7379, loss: 0.2014 +2023-03-04 03:42:44,419 - mmseg - INFO - Iter [41700/160000] lr: 1.500e-04, eta: 7:09:12, time: 0.192, data_time: 0.008, memory: 52540, decode.loss_ce: 0.2049, decode.acc_seg: 91.3797, loss: 0.2049 +2023-03-04 03:42:54,130 - mmseg - INFO - Iter [41750/160000] lr: 1.500e-04, eta: 7:08:57, time: 0.194, data_time: 0.008, memory: 52540, decode.loss_ce: 0.2108, decode.acc_seg: 91.4951, loss: 0.2108 +2023-03-04 03:43:03,605 - mmseg - INFO - Iter [41800/160000] lr: 1.500e-04, eta: 7:08:43, time: 0.189, data_time: 0.007, memory: 52540, decode.loss_ce: 0.2073, decode.acc_seg: 91.4865, loss: 0.2073 +2023-03-04 03:43:13,188 - mmseg - INFO - Iter [41850/160000] lr: 1.500e-04, eta: 7:08:28, time: 0.192, data_time: 0.007, memory: 52540, decode.loss_ce: 0.2047, decode.acc_seg: 91.7069, loss: 0.2047 +2023-03-04 03:43:22,649 - mmseg - INFO - Iter [41900/160000] lr: 1.500e-04, eta: 7:08:13, time: 0.189, data_time: 0.007, memory: 52540, decode.loss_ce: 0.2067, decode.acc_seg: 91.5596, loss: 0.2067 +2023-03-04 03:43:32,348 - mmseg - INFO - Iter [41950/160000] lr: 1.500e-04, eta: 7:07:59, time: 0.194, data_time: 0.008, memory: 52540, decode.loss_ce: 0.2044, decode.acc_seg: 91.6927, loss: 0.2044 +2023-03-04 03:43:42,040 - mmseg - INFO - Exp name: ablation_segformer_mit_b2_segformer_head_unet_fc_small_multi_step_ade_pretrained_freeze_embed_160k_ade20k151_finetune_ema_t50.py +2023-03-04 03:43:42,040 - mmseg - INFO - Iter [42000/160000] lr: 1.500e-04, eta: 7:07:45, time: 0.194, data_time: 0.007, memory: 52540, decode.loss_ce: 0.2204, decode.acc_seg: 91.3170, loss: 0.2204 +2023-03-04 03:43:51,440 - mmseg - INFO - Iter [42050/160000] lr: 1.500e-04, eta: 7:07:30, time: 0.188, data_time: 0.007, memory: 52540, decode.loss_ce: 0.2054, decode.acc_seg: 91.5587, loss: 0.2054 +2023-03-04 03:44:00,982 - mmseg - INFO - Iter [42100/160000] lr: 1.500e-04, eta: 7:07:15, time: 0.191, data_time: 0.008, memory: 52540, decode.loss_ce: 0.2082, decode.acc_seg: 91.3755, loss: 0.2082 +2023-03-04 03:44:10,723 - mmseg - INFO - Iter [42150/160000] lr: 1.500e-04, eta: 7:07:01, time: 0.195, data_time: 0.007, memory: 52540, decode.loss_ce: 0.2091, decode.acc_seg: 91.4565, loss: 0.2091 +2023-03-04 03:44:20,264 - mmseg - INFO - Iter [42200/160000] lr: 1.500e-04, eta: 7:06:47, time: 0.191, data_time: 0.008, memory: 52540, decode.loss_ce: 0.2052, decode.acc_seg: 91.7195, loss: 0.2052 +2023-03-04 03:44:29,918 - mmseg - INFO - Iter [42250/160000] lr: 1.500e-04, eta: 7:06:32, time: 0.193, data_time: 0.007, memory: 52540, decode.loss_ce: 0.2079, decode.acc_seg: 91.5142, loss: 0.2079 +2023-03-04 03:44:41,795 - mmseg - INFO - Iter [42300/160000] lr: 1.500e-04, eta: 7:06:24, time: 0.238, data_time: 0.055, memory: 52540, decode.loss_ce: 0.2163, decode.acc_seg: 91.0936, loss: 0.2163 +2023-03-04 03:44:51,426 - mmseg - INFO - Iter [42350/160000] lr: 1.500e-04, eta: 7:06:10, time: 0.193, data_time: 0.007, memory: 52540, decode.loss_ce: 0.2051, decode.acc_seg: 91.6049, loss: 0.2051 +2023-03-04 03:45:00,801 - mmseg - INFO - Iter [42400/160000] lr: 1.500e-04, eta: 7:05:55, time: 0.188, data_time: 0.007, memory: 52540, decode.loss_ce: 0.2089, decode.acc_seg: 91.4288, loss: 0.2089 +2023-03-04 03:45:10,410 - mmseg - INFO - Iter [42450/160000] lr: 1.500e-04, eta: 7:05:41, time: 0.192, data_time: 0.007, memory: 52540, decode.loss_ce: 0.2037, decode.acc_seg: 91.6936, loss: 0.2037 +2023-03-04 03:45:19,851 - mmseg - INFO - Iter [42500/160000] lr: 1.500e-04, eta: 7:05:26, time: 0.188, data_time: 0.007, memory: 52540, decode.loss_ce: 0.2101, decode.acc_seg: 91.5571, loss: 0.2101 +2023-03-04 03:45:29,494 - mmseg - INFO - Iter [42550/160000] lr: 1.500e-04, eta: 7:05:12, time: 0.193, data_time: 0.008, memory: 52540, decode.loss_ce: 0.2083, decode.acc_seg: 91.6253, loss: 0.2083 +2023-03-04 03:45:39,072 - mmseg - INFO - Iter [42600/160000] lr: 1.500e-04, eta: 7:04:57, time: 0.192, data_time: 0.007, memory: 52540, decode.loss_ce: 0.2106, decode.acc_seg: 91.3677, loss: 0.2106 +2023-03-04 03:45:48,643 - mmseg - INFO - Iter [42650/160000] lr: 1.500e-04, eta: 7:04:43, time: 0.191, data_time: 0.007, memory: 52540, decode.loss_ce: 0.2010, decode.acc_seg: 91.7945, loss: 0.2010 +2023-03-04 03:45:58,349 - mmseg - INFO - Iter [42700/160000] lr: 1.500e-04, eta: 7:04:29, time: 0.194, data_time: 0.008, memory: 52540, decode.loss_ce: 0.2107, decode.acc_seg: 91.4465, loss: 0.2107 +2023-03-04 03:46:08,065 - mmseg - INFO - Iter [42750/160000] lr: 1.500e-04, eta: 7:04:15, time: 0.195, data_time: 0.008, memory: 52540, decode.loss_ce: 0.2030, decode.acc_seg: 91.8333, loss: 0.2030 +2023-03-04 03:46:17,526 - mmseg - INFO - Iter [42800/160000] lr: 1.500e-04, eta: 7:04:00, time: 0.189, data_time: 0.007, memory: 52540, decode.loss_ce: 0.2043, decode.acc_seg: 91.7080, loss: 0.2043 +2023-03-04 03:46:26,977 - mmseg - INFO - Iter [42850/160000] lr: 1.500e-04, eta: 7:03:45, time: 0.189, data_time: 0.007, memory: 52540, decode.loss_ce: 0.2024, decode.acc_seg: 91.6429, loss: 0.2024 +2023-03-04 03:46:36,449 - mmseg - INFO - Iter [42900/160000] lr: 1.500e-04, eta: 7:03:31, time: 0.189, data_time: 0.007, memory: 52540, decode.loss_ce: 0.2011, decode.acc_seg: 91.6362, loss: 0.2011 +2023-03-04 03:46:48,446 - mmseg - INFO - Iter [42950/160000] lr: 1.500e-04, eta: 7:03:23, time: 0.240, data_time: 0.056, memory: 52540, decode.loss_ce: 0.2082, decode.acc_seg: 91.4955, loss: 0.2082 +2023-03-04 03:46:57,960 - mmseg - INFO - Exp name: ablation_segformer_mit_b2_segformer_head_unet_fc_small_multi_step_ade_pretrained_freeze_embed_160k_ade20k151_finetune_ema_t50.py +2023-03-04 03:46:57,960 - mmseg - INFO - Iter [43000/160000] lr: 1.500e-04, eta: 7:03:08, time: 0.190, data_time: 0.008, memory: 52540, decode.loss_ce: 0.2021, decode.acc_seg: 91.7598, loss: 0.2021 +2023-03-04 03:47:07,547 - mmseg - INFO - Iter [43050/160000] lr: 1.500e-04, eta: 7:02:54, time: 0.192, data_time: 0.008, memory: 52540, decode.loss_ce: 0.2149, decode.acc_seg: 91.3166, loss: 0.2149 +2023-03-04 03:47:17,169 - mmseg - INFO - Iter [43100/160000] lr: 1.500e-04, eta: 7:02:40, time: 0.192, data_time: 0.007, memory: 52540, decode.loss_ce: 0.2005, decode.acc_seg: 91.7942, loss: 0.2005 +2023-03-04 03:47:27,109 - mmseg - INFO - Iter [43150/160000] lr: 1.500e-04, eta: 7:02:27, time: 0.199, data_time: 0.008, memory: 52540, decode.loss_ce: 0.2127, decode.acc_seg: 91.3562, loss: 0.2127 +2023-03-04 03:47:36,816 - mmseg - INFO - Iter [43200/160000] lr: 1.500e-04, eta: 7:02:13, time: 0.194, data_time: 0.008, memory: 52540, decode.loss_ce: 0.2081, decode.acc_seg: 91.5227, loss: 0.2081 +2023-03-04 03:47:46,277 - mmseg - INFO - Iter [43250/160000] lr: 1.500e-04, eta: 7:01:58, time: 0.189, data_time: 0.008, memory: 52540, decode.loss_ce: 0.2051, decode.acc_seg: 91.4484, loss: 0.2051 +2023-03-04 03:47:55,679 - mmseg - INFO - Iter [43300/160000] lr: 1.500e-04, eta: 7:01:44, time: 0.188, data_time: 0.007, memory: 52540, decode.loss_ce: 0.2111, decode.acc_seg: 91.2919, loss: 0.2111 +2023-03-04 03:48:05,190 - mmseg - INFO - Iter [43350/160000] lr: 1.500e-04, eta: 7:01:29, time: 0.190, data_time: 0.008, memory: 52540, decode.loss_ce: 0.1973, decode.acc_seg: 91.7927, loss: 0.1973 +2023-03-04 03:48:14,871 - mmseg - INFO - Iter [43400/160000] lr: 1.500e-04, eta: 7:01:15, time: 0.194, data_time: 0.008, memory: 52540, decode.loss_ce: 0.2053, decode.acc_seg: 91.7262, loss: 0.2053 +2023-03-04 03:48:24,346 - mmseg - INFO - Iter [43450/160000] lr: 1.500e-04, eta: 7:01:01, time: 0.189, data_time: 0.008, memory: 52540, decode.loss_ce: 0.2079, decode.acc_seg: 91.5169, loss: 0.2079 +2023-03-04 03:48:34,155 - mmseg - INFO - Iter [43500/160000] lr: 1.500e-04, eta: 7:00:47, time: 0.196, data_time: 0.007, memory: 52540, decode.loss_ce: 0.2024, decode.acc_seg: 91.7154, loss: 0.2024 +2023-03-04 03:48:46,321 - mmseg - INFO - Iter [43550/160000] lr: 1.500e-04, eta: 7:00:40, time: 0.243, data_time: 0.055, memory: 52540, decode.loss_ce: 0.2039, decode.acc_seg: 91.8025, loss: 0.2039 +2023-03-04 03:48:56,113 - mmseg - INFO - Iter [43600/160000] lr: 1.500e-04, eta: 7:00:26, time: 0.196, data_time: 0.007, memory: 52540, decode.loss_ce: 0.2024, decode.acc_seg: 91.7190, loss: 0.2024 +2023-03-04 03:49:05,529 - mmseg - INFO - Iter [43650/160000] lr: 1.500e-04, eta: 7:00:12, time: 0.188, data_time: 0.007, memory: 52540, decode.loss_ce: 0.2044, decode.acc_seg: 91.5873, loss: 0.2044 +2023-03-04 03:49:15,011 - mmseg - INFO - Iter [43700/160000] lr: 1.500e-04, eta: 6:59:57, time: 0.190, data_time: 0.008, memory: 52540, decode.loss_ce: 0.2064, decode.acc_seg: 91.6201, loss: 0.2064 +2023-03-04 03:49:24,534 - mmseg - INFO - Iter [43750/160000] lr: 1.500e-04, eta: 6:59:43, time: 0.190, data_time: 0.008, memory: 52540, decode.loss_ce: 0.2091, decode.acc_seg: 91.4756, loss: 0.2091 +2023-03-04 03:49:33,962 - mmseg - INFO - Iter [43800/160000] lr: 1.500e-04, eta: 6:59:28, time: 0.188, data_time: 0.007, memory: 52540, decode.loss_ce: 0.2000, decode.acc_seg: 91.9210, loss: 0.2000 +2023-03-04 03:49:43,492 - mmseg - INFO - Iter [43850/160000] lr: 1.500e-04, eta: 6:59:14, time: 0.191, data_time: 0.008, memory: 52540, decode.loss_ce: 0.2134, decode.acc_seg: 91.3667, loss: 0.2134 +2023-03-04 03:49:52,995 - mmseg - INFO - Iter [43900/160000] lr: 1.500e-04, eta: 6:59:00, time: 0.190, data_time: 0.007, memory: 52540, decode.loss_ce: 0.2044, decode.acc_seg: 91.6511, loss: 0.2044 +2023-03-04 03:50:02,518 - mmseg - INFO - Iter [43950/160000] lr: 1.500e-04, eta: 6:58:45, time: 0.190, data_time: 0.007, memory: 52540, decode.loss_ce: 0.2121, decode.acc_seg: 91.2642, loss: 0.2121 +2023-03-04 03:50:12,433 - mmseg - INFO - Exp name: ablation_segformer_mit_b2_segformer_head_unet_fc_small_multi_step_ade_pretrained_freeze_embed_160k_ade20k151_finetune_ema_t50.py +2023-03-04 03:50:12,433 - mmseg - INFO - Iter [44000/160000] lr: 1.500e-04, eta: 6:58:32, time: 0.198, data_time: 0.007, memory: 52540, decode.loss_ce: 0.2026, decode.acc_seg: 91.7850, loss: 0.2026 +2023-03-04 03:50:22,001 - mmseg - INFO - Iter [44050/160000] lr: 1.500e-04, eta: 6:58:18, time: 0.192, data_time: 0.008, memory: 52540, decode.loss_ce: 0.2082, decode.acc_seg: 91.4217, loss: 0.2082 +2023-03-04 03:50:31,585 - mmseg - INFO - Iter [44100/160000] lr: 1.500e-04, eta: 6:58:04, time: 0.192, data_time: 0.008, memory: 52540, decode.loss_ce: 0.2144, decode.acc_seg: 91.3438, loss: 0.2144 +2023-03-04 03:50:41,119 - mmseg - INFO - Iter [44150/160000] lr: 1.500e-04, eta: 6:57:50, time: 0.191, data_time: 0.007, memory: 52540, decode.loss_ce: 0.2042, decode.acc_seg: 91.7013, loss: 0.2042 +2023-03-04 03:50:53,036 - mmseg - INFO - Iter [44200/160000] lr: 1.500e-04, eta: 6:57:42, time: 0.238, data_time: 0.054, memory: 52540, decode.loss_ce: 0.2032, decode.acc_seg: 91.5833, loss: 0.2032 +2023-03-04 03:51:02,841 - mmseg - INFO - Iter [44250/160000] lr: 1.500e-04, eta: 6:57:28, time: 0.196, data_time: 0.007, memory: 52540, decode.loss_ce: 0.2082, decode.acc_seg: 91.4604, loss: 0.2082 +2023-03-04 03:51:12,612 - mmseg - INFO - Iter [44300/160000] lr: 1.500e-04, eta: 6:57:15, time: 0.195, data_time: 0.007, memory: 52540, decode.loss_ce: 0.2074, decode.acc_seg: 91.5538, loss: 0.2074 +2023-03-04 03:51:22,050 - mmseg - INFO - Iter [44350/160000] lr: 1.500e-04, eta: 6:57:00, time: 0.189, data_time: 0.007, memory: 52540, decode.loss_ce: 0.2046, decode.acc_seg: 91.7486, loss: 0.2046 +2023-03-04 03:51:31,634 - mmseg - INFO - Iter [44400/160000] lr: 1.500e-04, eta: 6:56:46, time: 0.192, data_time: 0.008, memory: 52540, decode.loss_ce: 0.2110, decode.acc_seg: 91.4969, loss: 0.2110 +2023-03-04 03:51:41,160 - mmseg - INFO - Iter [44450/160000] lr: 1.500e-04, eta: 6:56:32, time: 0.191, data_time: 0.007, memory: 52540, decode.loss_ce: 0.2053, decode.acc_seg: 91.7346, loss: 0.2053 +2023-03-04 03:51:50,610 - mmseg - INFO - Iter [44500/160000] lr: 1.500e-04, eta: 6:56:18, time: 0.189, data_time: 0.007, memory: 52540, decode.loss_ce: 0.2173, decode.acc_seg: 91.1700, loss: 0.2173 +2023-03-04 03:52:00,118 - mmseg - INFO - Iter [44550/160000] lr: 1.500e-04, eta: 6:56:04, time: 0.190, data_time: 0.007, memory: 52540, decode.loss_ce: 0.2150, decode.acc_seg: 91.4049, loss: 0.2150 +2023-03-04 03:52:09,688 - mmseg - INFO - Iter [44600/160000] lr: 1.500e-04, eta: 6:55:49, time: 0.191, data_time: 0.008, memory: 52540, decode.loss_ce: 0.2105, decode.acc_seg: 91.4793, loss: 0.2105 +2023-03-04 03:52:19,348 - mmseg - INFO - Iter [44650/160000] lr: 1.500e-04, eta: 6:55:36, time: 0.193, data_time: 0.007, memory: 52540, decode.loss_ce: 0.2084, decode.acc_seg: 91.3875, loss: 0.2084 +2023-03-04 03:52:29,147 - mmseg - INFO - Iter [44700/160000] lr: 1.500e-04, eta: 6:55:22, time: 0.196, data_time: 0.007, memory: 52540, decode.loss_ce: 0.2028, decode.acc_seg: 91.7871, loss: 0.2028 +2023-03-04 03:52:38,790 - mmseg - INFO - Iter [44750/160000] lr: 1.500e-04, eta: 6:55:08, time: 0.193, data_time: 0.007, memory: 52540, decode.loss_ce: 0.2086, decode.acc_seg: 91.7160, loss: 0.2086 +2023-03-04 03:52:48,865 - mmseg - INFO - Iter [44800/160000] lr: 1.500e-04, eta: 6:54:56, time: 0.201, data_time: 0.007, memory: 52540, decode.loss_ce: 0.2034, decode.acc_seg: 91.6426, loss: 0.2034 +2023-03-04 03:53:01,265 - mmseg - INFO - Iter [44850/160000] lr: 1.500e-04, eta: 6:54:49, time: 0.248, data_time: 0.054, memory: 52540, decode.loss_ce: 0.2074, decode.acc_seg: 91.5281, loss: 0.2074 +2023-03-04 03:53:10,925 - mmseg - INFO - Iter [44900/160000] lr: 1.500e-04, eta: 6:54:35, time: 0.193, data_time: 0.007, memory: 52540, decode.loss_ce: 0.2011, decode.acc_seg: 92.0027, loss: 0.2011 +2023-03-04 03:53:20,805 - mmseg - INFO - Iter [44950/160000] lr: 1.500e-04, eta: 6:54:22, time: 0.198, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1968, decode.acc_seg: 91.8372, loss: 0.1968 +2023-03-04 03:53:30,394 - mmseg - INFO - Exp name: ablation_segformer_mit_b2_segformer_head_unet_fc_small_multi_step_ade_pretrained_freeze_embed_160k_ade20k151_finetune_ema_t50.py +2023-03-04 03:53:30,395 - mmseg - INFO - Iter [45000/160000] lr: 1.500e-04, eta: 6:54:08, time: 0.192, data_time: 0.008, memory: 52540, decode.loss_ce: 0.2063, decode.acc_seg: 91.5034, loss: 0.2063 +2023-03-04 03:53:39,866 - mmseg - INFO - Iter [45050/160000] lr: 1.500e-04, eta: 6:53:54, time: 0.189, data_time: 0.007, memory: 52540, decode.loss_ce: 0.2138, decode.acc_seg: 91.2727, loss: 0.2138 +2023-03-04 03:53:49,542 - mmseg - INFO - Iter [45100/160000] lr: 1.500e-04, eta: 6:53:40, time: 0.194, data_time: 0.007, memory: 52540, decode.loss_ce: 0.2126, decode.acc_seg: 91.4436, loss: 0.2126 +2023-03-04 03:53:59,059 - mmseg - INFO - Iter [45150/160000] lr: 1.500e-04, eta: 6:53:26, time: 0.191, data_time: 0.008, memory: 52540, decode.loss_ce: 0.2072, decode.acc_seg: 91.5578, loss: 0.2072 +2023-03-04 03:54:08,803 - mmseg - INFO - Iter [45200/160000] lr: 1.500e-04, eta: 6:53:13, time: 0.195, data_time: 0.008, memory: 52540, decode.loss_ce: 0.1957, decode.acc_seg: 92.0491, loss: 0.1957 +2023-03-04 03:54:18,309 - mmseg - INFO - Iter [45250/160000] lr: 1.500e-04, eta: 6:52:59, time: 0.190, data_time: 0.008, memory: 52540, decode.loss_ce: 0.2039, decode.acc_seg: 91.6087, loss: 0.2039 +2023-03-04 03:54:27,894 - mmseg - INFO - Iter [45300/160000] lr: 1.500e-04, eta: 6:52:45, time: 0.192, data_time: 0.007, memory: 52540, decode.loss_ce: 0.2128, decode.acc_seg: 91.2364, loss: 0.2128 +2023-03-04 03:54:37,352 - mmseg - INFO - Iter [45350/160000] lr: 1.500e-04, eta: 6:52:31, time: 0.189, data_time: 0.008, memory: 52540, decode.loss_ce: 0.2078, decode.acc_seg: 91.6220, loss: 0.2078 +2023-03-04 03:54:47,045 - mmseg - INFO - Iter [45400/160000] lr: 1.500e-04, eta: 6:52:17, time: 0.194, data_time: 0.007, memory: 52540, decode.loss_ce: 0.2094, decode.acc_seg: 91.5654, loss: 0.2094 +2023-03-04 03:54:59,340 - mmseg - INFO - Iter [45450/160000] lr: 1.500e-04, eta: 6:52:10, time: 0.246, data_time: 0.055, memory: 52540, decode.loss_ce: 0.2184, decode.acc_seg: 91.2293, loss: 0.2184 +2023-03-04 03:55:09,310 - mmseg - INFO - Iter [45500/160000] lr: 1.500e-04, eta: 6:51:57, time: 0.200, data_time: 0.007, memory: 52540, decode.loss_ce: 0.2138, decode.acc_seg: 91.5008, loss: 0.2138 +2023-03-04 03:55:18,795 - mmseg - INFO - Iter [45550/160000] lr: 1.500e-04, eta: 6:51:43, time: 0.190, data_time: 0.007, memory: 52540, decode.loss_ce: 0.2145, decode.acc_seg: 91.2649, loss: 0.2145 +2023-03-04 03:55:28,492 - mmseg - INFO - Iter [45600/160000] lr: 1.500e-04, eta: 6:51:30, time: 0.194, data_time: 0.008, memory: 52540, decode.loss_ce: 0.2093, decode.acc_seg: 91.4369, loss: 0.2093 +2023-03-04 03:55:38,181 - mmseg - INFO - Iter [45650/160000] lr: 1.500e-04, eta: 6:51:16, time: 0.193, data_time: 0.007, memory: 52540, decode.loss_ce: 0.2075, decode.acc_seg: 91.5683, loss: 0.2075 +2023-03-04 03:55:48,135 - mmseg - INFO - Iter [45700/160000] lr: 1.500e-04, eta: 6:51:03, time: 0.199, data_time: 0.008, memory: 52540, decode.loss_ce: 0.2019, decode.acc_seg: 91.7654, loss: 0.2019 +2023-03-04 03:55:57,587 - mmseg - INFO - Iter [45750/160000] lr: 1.500e-04, eta: 6:50:49, time: 0.189, data_time: 0.007, memory: 52540, decode.loss_ce: 0.2075, decode.acc_seg: 91.4981, loss: 0.2075 +2023-03-04 03:56:07,341 - mmseg - INFO - Iter [45800/160000] lr: 1.500e-04, eta: 6:50:36, time: 0.195, data_time: 0.007, memory: 52540, decode.loss_ce: 0.2056, decode.acc_seg: 91.4679, loss: 0.2056 +2023-03-04 03:56:16,820 - mmseg - INFO - Iter [45850/160000] lr: 1.500e-04, eta: 6:50:22, time: 0.190, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1967, decode.acc_seg: 91.8687, loss: 0.1967 +2023-03-04 03:56:26,410 - mmseg - INFO - Iter [45900/160000] lr: 1.500e-04, eta: 6:50:08, time: 0.192, data_time: 0.007, memory: 52540, decode.loss_ce: 0.2174, decode.acc_seg: 91.3807, loss: 0.2174 +2023-03-04 03:56:36,494 - mmseg - INFO - Iter [45950/160000] lr: 1.500e-04, eta: 6:49:55, time: 0.202, data_time: 0.008, memory: 52540, decode.loss_ce: 0.2073, decode.acc_seg: 91.5772, loss: 0.2073 +2023-03-04 03:56:45,933 - mmseg - INFO - Exp name: ablation_segformer_mit_b2_segformer_head_unet_fc_small_multi_step_ade_pretrained_freeze_embed_160k_ade20k151_finetune_ema_t50.py +2023-03-04 03:56:45,933 - mmseg - INFO - Iter [46000/160000] lr: 1.500e-04, eta: 6:49:41, time: 0.189, data_time: 0.007, memory: 52540, decode.loss_ce: 0.2055, decode.acc_seg: 91.6392, loss: 0.2055 +2023-03-04 03:56:55,543 - mmseg - INFO - Iter [46050/160000] lr: 1.500e-04, eta: 6:49:28, time: 0.192, data_time: 0.007, memory: 52540, decode.loss_ce: 0.2060, decode.acc_seg: 91.5621, loss: 0.2060 +2023-03-04 03:57:07,541 - mmseg - INFO - Iter [46100/160000] lr: 1.500e-04, eta: 6:49:20, time: 0.240, data_time: 0.053, memory: 52540, decode.loss_ce: 0.2004, decode.acc_seg: 91.6331, loss: 0.2004 +2023-03-04 03:57:17,168 - mmseg - INFO - Iter [46150/160000] lr: 1.500e-04, eta: 6:49:06, time: 0.193, data_time: 0.007, memory: 52540, decode.loss_ce: 0.2012, decode.acc_seg: 91.7328, loss: 0.2012 +2023-03-04 03:57:26,885 - mmseg - INFO - Iter [46200/160000] lr: 1.500e-04, eta: 6:48:53, time: 0.194, data_time: 0.007, memory: 52540, decode.loss_ce: 0.2050, decode.acc_seg: 91.6574, loss: 0.2050 +2023-03-04 03:57:36,474 - mmseg - INFO - Iter [46250/160000] lr: 1.500e-04, eta: 6:48:39, time: 0.192, data_time: 0.007, memory: 52540, decode.loss_ce: 0.2104, decode.acc_seg: 91.4465, loss: 0.2104 +2023-03-04 03:57:46,484 - mmseg - INFO - Iter [46300/160000] lr: 1.500e-04, eta: 6:48:26, time: 0.200, data_time: 0.008, memory: 52540, decode.loss_ce: 0.2161, decode.acc_seg: 91.2946, loss: 0.2161 +2023-03-04 03:57:56,121 - mmseg - INFO - Iter [46350/160000] lr: 1.500e-04, eta: 6:48:13, time: 0.193, data_time: 0.008, memory: 52540, decode.loss_ce: 0.2098, decode.acc_seg: 91.5020, loss: 0.2098 +2023-03-04 03:58:06,067 - mmseg - INFO - Iter [46400/160000] lr: 1.500e-04, eta: 6:48:00, time: 0.199, data_time: 0.008, memory: 52540, decode.loss_ce: 0.2048, decode.acc_seg: 91.6209, loss: 0.2048 +2023-03-04 03:58:15,470 - mmseg - INFO - Iter [46450/160000] lr: 1.500e-04, eta: 6:47:46, time: 0.188, data_time: 0.007, memory: 52540, decode.loss_ce: 0.2060, decode.acc_seg: 91.5554, loss: 0.2060 +2023-03-04 03:58:25,045 - mmseg - INFO - Iter [46500/160000] lr: 1.500e-04, eta: 6:47:32, time: 0.192, data_time: 0.007, memory: 52540, decode.loss_ce: 0.2076, decode.acc_seg: 91.4937, loss: 0.2076 +2023-03-04 03:58:34,525 - mmseg - INFO - Iter [46550/160000] lr: 1.500e-04, eta: 6:47:18, time: 0.190, data_time: 0.007, memory: 52540, decode.loss_ce: 0.2071, decode.acc_seg: 91.5814, loss: 0.2071 +2023-03-04 03:58:43,970 - mmseg - INFO - Iter [46600/160000] lr: 1.500e-04, eta: 6:47:04, time: 0.189, data_time: 0.007, memory: 52540, decode.loss_ce: 0.2077, decode.acc_seg: 91.5374, loss: 0.2077 +2023-03-04 03:58:53,451 - mmseg - INFO - Iter [46650/160000] lr: 1.500e-04, eta: 6:46:50, time: 0.190, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1978, decode.acc_seg: 91.9078, loss: 0.1978 +2023-03-04 03:59:05,445 - mmseg - INFO - Iter [46700/160000] lr: 1.500e-04, eta: 6:46:43, time: 0.240, data_time: 0.052, memory: 52540, decode.loss_ce: 0.2099, decode.acc_seg: 91.4906, loss: 0.2099 +2023-03-04 03:59:14,971 - mmseg - INFO - Iter [46750/160000] lr: 1.500e-04, eta: 6:46:29, time: 0.191, data_time: 0.007, memory: 52540, decode.loss_ce: 0.2111, decode.acc_seg: 91.3920, loss: 0.2111 +2023-03-04 03:59:24,513 - mmseg - INFO - Iter [46800/160000] lr: 1.500e-04, eta: 6:46:15, time: 0.191, data_time: 0.008, memory: 52540, decode.loss_ce: 0.2123, decode.acc_seg: 91.3572, loss: 0.2123 +2023-03-04 03:59:33,943 - mmseg - INFO - Iter [46850/160000] lr: 1.500e-04, eta: 6:46:01, time: 0.189, data_time: 0.007, memory: 52540, decode.loss_ce: 0.2089, decode.acc_seg: 91.4834, loss: 0.2089 +2023-03-04 03:59:43,545 - mmseg - INFO - Iter [46900/160000] lr: 1.500e-04, eta: 6:45:47, time: 0.192, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1993, decode.acc_seg: 91.7630, loss: 0.1993 +2023-03-04 03:59:53,185 - mmseg - INFO - Iter [46950/160000] lr: 1.500e-04, eta: 6:45:34, time: 0.193, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1978, decode.acc_seg: 91.8032, loss: 0.1978 +2023-03-04 04:00:02,824 - mmseg - INFO - Exp name: ablation_segformer_mit_b2_segformer_head_unet_fc_small_multi_step_ade_pretrained_freeze_embed_160k_ade20k151_finetune_ema_t50.py +2023-03-04 04:00:02,824 - mmseg - INFO - Iter [47000/160000] lr: 1.500e-04, eta: 6:45:21, time: 0.193, data_time: 0.008, memory: 52540, decode.loss_ce: 0.2044, decode.acc_seg: 91.7483, loss: 0.2044 +2023-03-04 04:00:12,404 - mmseg - INFO - Iter [47050/160000] lr: 1.500e-04, eta: 6:45:07, time: 0.192, data_time: 0.008, memory: 52540, decode.loss_ce: 0.1993, decode.acc_seg: 91.8012, loss: 0.1993 +2023-03-04 04:00:22,314 - mmseg - INFO - Iter [47100/160000] lr: 1.500e-04, eta: 6:44:54, time: 0.198, data_time: 0.007, memory: 52540, decode.loss_ce: 0.2054, decode.acc_seg: 91.6538, loss: 0.2054 +2023-03-04 04:00:31,899 - mmseg - INFO - Iter [47150/160000] lr: 1.500e-04, eta: 6:44:41, time: 0.191, data_time: 0.008, memory: 52540, decode.loss_ce: 0.2061, decode.acc_seg: 91.5958, loss: 0.2061 +2023-03-04 04:00:41,908 - mmseg - INFO - Iter [47200/160000] lr: 1.500e-04, eta: 6:44:28, time: 0.200, data_time: 0.007, memory: 52540, decode.loss_ce: 0.2049, decode.acc_seg: 91.6856, loss: 0.2049 +2023-03-04 04:00:51,382 - mmseg - INFO - Iter [47250/160000] lr: 1.500e-04, eta: 6:44:14, time: 0.189, data_time: 0.007, memory: 52540, decode.loss_ce: 0.2039, decode.acc_seg: 91.5805, loss: 0.2039 +2023-03-04 04:01:01,047 - mmseg - INFO - Iter [47300/160000] lr: 1.500e-04, eta: 6:44:01, time: 0.193, data_time: 0.007, memory: 52540, decode.loss_ce: 0.2073, decode.acc_seg: 91.4465, loss: 0.2073 +2023-03-04 04:01:12,944 - mmseg - INFO - Iter [47350/160000] lr: 1.500e-04, eta: 6:43:53, time: 0.238, data_time: 0.056, memory: 52540, decode.loss_ce: 0.2042, decode.acc_seg: 91.6914, loss: 0.2042 +2023-03-04 04:01:22,718 - mmseg - INFO - Iter [47400/160000] lr: 1.500e-04, eta: 6:43:40, time: 0.195, data_time: 0.007, memory: 52540, decode.loss_ce: 0.2045, decode.acc_seg: 91.6018, loss: 0.2045 +2023-03-04 04:01:32,185 - mmseg - INFO - Iter [47450/160000] lr: 1.500e-04, eta: 6:43:26, time: 0.189, data_time: 0.007, memory: 52540, decode.loss_ce: 0.2045, decode.acc_seg: 91.6742, loss: 0.2045 +2023-03-04 04:01:41,905 - mmseg - INFO - Iter [47500/160000] lr: 1.500e-04, eta: 6:43:13, time: 0.194, data_time: 0.008, memory: 52540, decode.loss_ce: 0.2077, decode.acc_seg: 91.5830, loss: 0.2077 +2023-03-04 04:01:51,590 - mmseg - INFO - Iter [47550/160000] lr: 1.500e-04, eta: 6:42:59, time: 0.194, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1987, decode.acc_seg: 91.7175, loss: 0.1987 +2023-03-04 04:02:01,157 - mmseg - INFO - Iter [47600/160000] lr: 1.500e-04, eta: 6:42:46, time: 0.191, data_time: 0.008, memory: 52540, decode.loss_ce: 0.2088, decode.acc_seg: 91.5702, loss: 0.2088 +2023-03-04 04:02:10,707 - mmseg - INFO - Iter [47650/160000] lr: 1.500e-04, eta: 6:42:32, time: 0.191, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1996, decode.acc_seg: 91.8140, loss: 0.1996 +2023-03-04 04:02:20,186 - mmseg - INFO - Iter [47700/160000] lr: 1.500e-04, eta: 6:42:19, time: 0.190, data_time: 0.008, memory: 52540, decode.loss_ce: 0.2131, decode.acc_seg: 91.2285, loss: 0.2131 +2023-03-04 04:02:29,788 - mmseg - INFO - Iter [47750/160000] lr: 1.500e-04, eta: 6:42:05, time: 0.192, data_time: 0.007, memory: 52540, decode.loss_ce: 0.2074, decode.acc_seg: 91.4682, loss: 0.2074 +2023-03-04 04:02:39,458 - mmseg - INFO - Iter [47800/160000] lr: 1.500e-04, eta: 6:41:52, time: 0.193, data_time: 0.008, memory: 52540, decode.loss_ce: 0.2107, decode.acc_seg: 91.4342, loss: 0.2107 +2023-03-04 04:02:48,914 - mmseg - INFO - Iter [47850/160000] lr: 1.500e-04, eta: 6:41:38, time: 0.189, data_time: 0.007, memory: 52540, decode.loss_ce: 0.2030, decode.acc_seg: 91.6506, loss: 0.2030 +2023-03-04 04:02:58,505 - mmseg - INFO - Iter [47900/160000] lr: 1.500e-04, eta: 6:41:25, time: 0.192, data_time: 0.008, memory: 52540, decode.loss_ce: 0.2074, decode.acc_seg: 91.4833, loss: 0.2074 +2023-03-04 04:03:08,323 - mmseg - INFO - Iter [47950/160000] lr: 1.500e-04, eta: 6:41:12, time: 0.196, data_time: 0.008, memory: 52540, decode.loss_ce: 0.2082, decode.acc_seg: 91.4126, loss: 0.2082 +2023-03-04 04:03:20,561 - mmseg - INFO - Swap parameters (after train) after iter [48000] +2023-03-04 04:03:20,574 - mmseg - INFO - Saving checkpoint at 48000 iterations +2023-03-04 04:03:21,573 - mmseg - INFO - Exp name: ablation_segformer_mit_b2_segformer_head_unet_fc_small_multi_step_ade_pretrained_freeze_embed_160k_ade20k151_finetune_ema_t50.py +2023-03-04 04:03:21,573 - mmseg - INFO - Iter [48000/160000] lr: 1.500e-04, eta: 6:41:07, time: 0.265, data_time: 0.054, memory: 52540, decode.loss_ce: 0.1957, decode.acc_seg: 91.9858, loss: 0.1957 +2023-03-04 04:09:11,640 - mmseg - INFO - per class results: +2023-03-04 04:09:11,649 - mmseg - INFO - ++---------------------+-------------------------------------------------------------------+ +| Class | IoU 0,5,10,15,20,25,30,35,40,45,49 | ++---------------------+-------------------------------------------------------------------+ +| background | nan,nan,nan,nan,nan,nan,nan,nan,nan,nan,nan | +| wall | 77.35,77.38,77.41,77.41,77.44,77.44,77.44,77.46,77.46,77.46,77.47 | +| building | 81.58,81.59,81.59,81.61,81.62,81.62,81.62,81.64,81.63,81.66,81.66 | +| sky | 94.45,94.45,94.46,94.46,94.46,94.46,94.47,94.47,94.47,94.48,94.48 | +| floor | 81.81,81.83,81.85,81.85,81.87,81.88,81.89,81.88,81.91,81.87,81.87 | +| tree | 74.27,74.28,74.3,74.29,74.31,74.3,74.32,74.29,74.31,74.3,74.29 | +| ceiling | 85.31,85.32,85.32,85.32,85.34,85.32,85.33,85.32,85.31,85.32,85.31 | +| road | 82.01,82.0,82.02,82.01,82.03,82.01,82.01,82.03,82.02,82.03,82.03 | +| bed | 87.67,87.66,87.66,87.68,87.65,87.7,87.65,87.72,87.67,87.73,87.71 | +| windowpane | 60.43,60.46,60.43,60.5,60.45,60.51,60.51,60.53,60.55,60.56,60.56 | +| grass | 67.04,67.05,67.03,67.06,67.05,67.06,67.06,67.07,67.05,67.06,67.04 | +| cabinet | 60.29,60.32,60.35,60.33,60.44,60.44,60.46,60.55,60.51,60.53,60.53 | +| sidewalk | 63.66,63.65,63.66,63.64,63.65,63.66,63.63,63.68,63.64,63.66,63.65 | +| person | 79.59,79.63,79.63,79.65,79.67,79.68,79.69,79.68,79.71,79.67,79.68 | +| earth | 35.44,35.43,35.45,35.46,35.53,35.43,35.56,35.51,35.58,35.57,35.59 | +| door | 45.43,45.47,45.51,45.52,45.55,45.63,45.56,45.66,45.63,45.67,45.69 | +| table | 60.36,60.4,60.4,60.43,60.5,60.5,60.56,60.52,60.58,60.53,60.52 | +| mountain | 56.66,56.69,56.71,56.72,56.74,56.71,56.72,56.79,56.8,56.77,56.77 | +| plant | 50.0,49.99,49.93,49.93,49.95,49.91,50.04,49.89,50.04,49.91,49.92 | +| curtain | 74.55,74.64,74.76,74.83,74.88,74.95,74.91,74.95,74.9,74.93,74.92 | +| chair | 56.12,56.14,56.14,56.14,56.2,56.2,56.21,56.22,56.19,56.2,56.2 | +| car | 81.58,81.54,81.58,81.58,81.59,81.64,81.61,81.63,81.6,81.64,81.63 | +| water | 56.98,57.0,56.99,56.98,57.0,57.01,57.02,57.02,56.99,57.01,57.01 | +| painting | 70.07,70.06,70.06,70.05,70.03,70.02,70.04,70.0,70.02,70.04,70.03 | +| sofa | 64.14,64.29,64.39,64.42,64.5,64.55,64.6,64.58,64.62,64.65,64.67 | +| shelf | 44.02,44.01,44.0,44.05,44.06,44.05,44.06,44.07,44.01,44.04,44.05 | +| house | 40.33,40.46,40.6,40.6,40.77,40.81,40.86,40.91,40.95,40.9,40.92 | +| sea | 59.81,59.86,59.86,59.86,59.86,59.89,59.89,59.89,59.85,59.87,59.87 | +| mirror | 65.49,65.51,65.57,65.64,65.68,65.68,65.68,65.63,65.57,65.5,65.48 | +| rug | 65.06,65.03,65.03,65.01,65.0,65.01,65.1,64.95,65.06,64.87,64.85 | +| field | 30.42,30.44,30.43,30.44,30.44,30.46,30.46,30.47,30.52,30.5,30.52 | +| armchair | 36.81,36.9,37.01,37.02,37.06,37.14,37.14,37.16,37.17,37.14,37.16 | +| seat | 65.86,65.8,65.88,65.88,65.89,65.85,65.9,65.86,65.98,65.76,65.72 | +| fence | 40.91,41.03,41.05,41.07,41.14,41.09,41.06,41.08,41.03,41.07,41.04 | +| desk | 45.91,45.83,45.84,45.8,45.75,45.76,45.8,45.83,45.83,45.82,45.81 | +| rock | 36.76,36.77,36.81,36.8,36.88,36.74,36.95,36.81,36.98,36.86,36.86 | +| wardrobe | 57.45,57.57,57.7,57.69,57.77,57.78,57.7,57.81,57.63,57.73,57.68 | +| lamp | 61.5,61.49,61.55,61.55,61.61,61.56,61.6,61.69,61.69,61.71,61.69 | +| bathtub | 75.76,75.76,75.8,75.89,75.86,76.01,75.96,75.96,76.04,76.01,76.02 | +| railing | 33.6,33.61,33.59,33.69,33.73,33.82,33.84,33.87,33.89,34.0,33.99 | +| cushion | 55.66,55.65,55.73,55.59,55.66,55.63,55.57,55.56,55.52,55.66,55.57 | +| base | 21.55,21.57,21.73,21.74,21.81,21.91,21.87,21.99,22.02,22.15,22.18 | +| box | 22.82,22.9,23.0,22.94,22.96,23.02,23.04,23.1,23.1,23.12,23.14 | +| column | 45.6,45.64,45.56,45.62,45.67,45.67,45.64,45.56,45.51,45.56,45.58 | +| signboard | 37.95,38.01,38.03,37.99,38.0,38.01,37.96,37.98,37.81,37.92,37.9 | +| chest of drawers | 36.09,36.13,36.13,36.17,36.35,36.43,36.27,36.59,36.25,36.57,36.58 | +| counter | 30.46,30.49,30.62,30.57,30.66,30.8,30.8,30.81,30.89,30.9,30.94 | +| sand | 41.86,41.94,41.96,41.93,41.92,41.94,41.94,41.93,41.94,41.91,41.89 | +| sink | 67.74,67.68,67.66,67.65,67.72,67.71,67.61,67.72,67.63,67.67,67.66 | +| skyscraper | 50.71,50.45,50.34,50.33,50.28,50.43,50.13,50.57,50.03,51.24,51.27 | +| fireplace | 75.97,76.02,76.04,76.06,76.03,76.14,76.18,76.27,76.29,76.26,76.26 | +| refrigerator | 75.07,75.29,75.58,75.63,75.77,76.0,76.0,76.07,75.97,76.06,75.98 | +| grandstand | 52.22,52.36,52.47,52.57,52.67,53.01,52.95,53.13,53.1,53.32,53.31 | +| path | 21.81,21.87,21.88,21.94,22.0,22.01,22.02,22.09,22.09,22.13,22.14 | +| stairs | 32.01,32.07,31.99,32.06,32.07,32.03,32.1,32.03,32.15,32.02,32.03 | +| runway | 67.55,67.59,67.67,67.69,67.74,67.81,67.82,67.86,67.86,67.88,67.9 | +| case | 47.77,47.83,47.93,48.0,48.01,47.97,48.06,48.13,48.0,48.06,48.11 | +| pool table | 91.72,91.77,91.85,91.81,91.85,91.87,91.87,91.89,91.96,91.92,91.95 | +| pillow | 59.73,59.76,59.89,59.85,59.76,59.61,59.67,59.68,59.79,59.9,59.77 | +| screen door | 68.22,68.24,68.3,68.51,68.36,68.96,68.67,69.05,68.81,68.92,68.95 | +| stairway | 24.04,24.0,24.03,24.09,24.11,24.09,24.08,24.08,24.05,24.1,24.09 | +| river | 11.63,11.62,11.63,11.61,11.61,11.57,11.58,11.54,11.54,11.54,11.52 | +| bridge | 31.85,31.93,31.93,32.17,32.29,32.29,32.38,32.5,32.67,32.94,33.0 | +| bookcase | 44.86,44.9,44.9,44.82,44.95,44.81,44.81,44.88,44.61,44.73,44.77 | +| blind | 40.49,40.49,40.43,40.44,40.36,40.53,40.68,40.58,40.86,40.72,40.8 | +| coffee table | 53.67,53.76,53.72,53.65,53.67,53.72,53.66,53.73,53.62,53.66,53.67 | +| toilet | 83.85,83.8,83.66,83.81,83.77,83.77,83.7,83.71,83.66,83.69,83.7 | +| flower | 38.98,38.93,38.93,38.97,39.02,39.04,39.07,38.87,39.12,38.88,38.92 | +| book | 44.33,44.39,44.39,44.38,44.39,44.28,44.36,44.42,44.44,44.42,44.41 | +| hill | 14.66,14.61,14.69,14.69,14.81,14.76,14.8,14.86,14.93,14.97,15.02 | +| bench | 42.42,42.49,42.45,42.42,42.48,42.42,42.48,42.29,42.4,42.33,42.3 | +| countertop | 55.15,55.14,54.95,54.94,54.86,54.98,54.9,54.9,54.98,54.9,54.96 | +| stove | 70.64,70.56,70.67,70.53,70.63,70.64,70.64,70.48,70.65,70.51,70.52 | +| palm | 47.81,47.77,47.77,47.71,47.86,47.82,47.77,47.75,47.71,47.79,47.75 | +| kitchen island | 43.16,43.44,43.5,43.49,43.76,43.71,43.8,43.73,43.81,43.82,43.85 | +| computer | 60.27,60.33,60.33,60.31,60.37,60.38,60.44,60.49,60.47,60.5,60.49 | +| swivel chair | 44.01,44.21,44.16,44.11,44.15,44.25,44.23,44.17,44.25,44.04,44.05 | +| boat | 71.64,71.72,71.87,71.76,71.96,71.98,72.06,72.21,72.12,72.39,72.35 | +| bar | 23.63,23.59,23.54,23.59,23.55,23.57,23.52,23.58,23.51,23.58,23.58 | +| arcade machine | 70.85,71.02,71.15,71.23,71.46,71.35,71.51,71.46,71.58,71.34,71.33 | +| hovel | 28.18,28.07,28.19,28.32,28.28,28.28,28.25,28.44,28.19,28.36,28.41 | +| bus | 78.75,78.8,78.73,78.66,78.65,78.64,78.57,78.49,78.43,78.47,78.47 | +| towel | 62.75,62.71,62.78,62.76,62.85,62.69,62.72,62.78,62.75,62.7,62.74 | +| light | 55.65,55.69,55.74,55.79,55.82,55.86,55.91,55.94,55.98,55.98,55.96 | +| truck | 18.33,18.36,18.31,18.26,18.39,18.23,18.25,18.21,18.13,18.13,18.09 | +| tower | 9.5,9.52,9.57,9.55,9.61,9.61,9.6,9.63,9.64,9.65,9.64 | +| chandelier | 63.52,63.54,63.55,63.6,63.65,63.71,63.64,63.72,63.79,63.71,63.69 | +| awning | 23.94,24.35,24.43,24.56,24.67,24.72,24.94,24.88,24.91,24.88,24.84 | +| streetlight | 26.24,26.37,26.34,26.34,26.38,26.36,26.4,26.39,26.43,26.5,26.51 | +| booth | 42.71,42.59,42.9,42.95,43.26,43.42,44.04,43.56,43.81,43.74,43.84 | +| television receiver | 63.74,63.73,63.87,63.73,63.83,63.92,63.86,63.96,63.94,64.13,64.14 | +| airplane | 58.95,59.02,58.93,59.01,58.94,58.96,59.01,58.91,59.07,58.86,58.8 | +| dirt track | 18.69,18.81,18.91,18.86,18.91,19.09,19.14,19.32,19.28,19.41,19.55 | +| apparel | 34.09,34.21,34.4,34.31,34.28,34.42,34.28,34.34,34.47,34.28,34.3 | +| pole | 19.28,19.23,19.22,19.22,19.02,19.08,19.02,19.01,18.97,18.77,18.73 | +| land | 3.56,3.56,3.57,3.61,3.57,3.71,3.54,3.62,3.57,3.66,3.65 | +| bannister | 12.45,12.52,12.49,12.6,12.57,12.5,12.47,12.47,12.33,12.31,12.28 | +| escalator | 24.48,24.54,24.62,24.64,24.8,24.87,24.9,24.93,25.0,25.1,25.14 | +| ottoman | 42.83,43.09,42.79,42.96,42.62,43.42,42.71,43.27,42.78,43.07,42.78 | +| bottle | 35.07,35.06,35.05,35.08,35.01,34.88,35.0,35.03,34.86,34.88,34.82 | +| buffet | 38.02,38.04,38.06,38.73,38.42,39.21,39.41,39.5,39.81,40.53,40.78 | +| poster | 24.15,23.99,24.12,24.02,23.95,24.12,23.77,24.21,23.79,24.04,24.13 | +| stage | 15.15,15.29,15.1,15.13,15.28,15.24,15.25,15.33,15.07,15.26,15.23 | +| van | 37.95,37.95,38.06,38.03,38.01,38.07,37.92,38.04,38.05,38.18,38.2 | +| ship | 80.23,80.35,80.42,80.57,80.92,80.39,80.59,80.17,80.38,80.12,79.98 | +| fountain | 17.73,17.89,17.91,18.06,18.04,18.3,18.35,18.57,18.54,18.86,18.91 | +| conveyer belt | 84.47,84.43,84.29,84.35,84.11,84.04,84.03,84.15,83.91,84.02,84.02 | +| canopy | 23.18,23.45,23.77,23.99,24.26,24.36,24.63,24.68,24.94,25.02,25.13 | +| washer | 75.24,75.46,75.68,75.99,76.02,76.28,76.35,76.57,76.54,76.76,76.85 | +| plaything | 21.49,21.51,21.4,21.4,21.29,21.38,21.27,21.32,21.37,21.31,21.28 | +| swimming pool | 74.91,75.07,75.32,75.28,75.38,75.63,75.66,75.7,75.86,75.93,75.99 | +| stool | 43.63,43.73,43.83,43.93,44.04,44.11,44.1,44.13,43.99,44.1,44.02 | +| barrel | 42.56,42.86,42.83,43.06,43.64,43.49,42.46,42.82,43.32,42.78,42.15 | +| basket | 23.68,23.67,23.78,23.8,23.89,23.78,23.91,23.91,23.87,24.03,24.05 | +| waterfall | 49.8,49.8,49.75,49.85,49.92,49.88,49.84,49.93,49.92,49.95,49.96 | +| tent | 94.71,94.82,94.76,94.87,94.88,94.8,94.9,94.86,94.93,94.9,94.92 | +| bag | 14.71,14.72,14.72,14.73,14.84,15.16,15.11,15.02,15.37,15.06,15.12 | +| minibike | 63.44,63.55,63.8,63.81,63.9,63.84,63.89,64.02,64.11,64.23,64.27 | +| cradle | 83.32,83.41,83.54,83.6,83.7,83.85,83.86,83.93,84.03,84.09,84.14 | +| oven | 46.34,46.37,46.43,46.55,46.61,46.62,46.68,46.79,46.73,46.88,46.93 | +| ball | 46.74,46.56,46.55,46.3,46.24,46.11,45.78,46.0,45.61,45.89,45.7 | +| food | 53.6,53.52,53.77,53.78,53.83,53.97,54.02,54.05,54.13,54.02,54.08 | +| step | 6.83,6.83,6.73,6.59,6.57,6.38,6.32,6.46,6.16,6.37,6.38 | +| tank | 50.19,50.18,50.23,50.19,50.18,50.24,50.21,50.23,50.32,50.31,50.29 | +| trade name | 28.43,28.44,28.25,28.35,28.31,28.12,27.87,28.16,27.67,28.07,28.06 | +| microwave | 73.05,73.39,73.46,73.67,73.86,73.9,74.08,74.21,73.99,74.17,74.2 | +| pot | 30.99,31.06,31.13,31.28,31.38,31.36,31.52,31.61,31.74,31.86,31.93 | +| animal | 55.12,55.19,55.14,55.23,55.13,55.18,55.11,55.19,55.09,55.19,55.14 | +| bicycle | 54.11,54.09,54.21,54.33,54.41,54.53,54.51,54.53,54.66,54.76,54.87 | +| lake | 56.94,56.95,56.92,56.93,56.94,56.95,56.91,57.04,56.97,57.13,57.15 | +| dishwasher | 64.27,64.08,63.89,63.77,63.48,63.82,63.46,63.7,63.24,63.72,63.64 | +| screen | 66.14,65.75,65.61,65.5,65.24,65.12,65.04,64.79,64.78,64.61,64.57 | +| blanket | 17.15,17.08,16.99,17.15,17.19,17.12,16.97,17.12,16.94,17.16,17.12 | +| sculpture | 57.77,57.79,57.76,57.69,57.48,57.39,57.33,57.42,57.16,57.11,57.13 | +| hood | 58.39,58.73,58.41,58.24,58.1,57.96,57.97,58.02,57.64,57.7,57.54 | +| sconce | 42.55,42.59,42.8,42.87,42.94,42.91,42.92,43.13,43.01,43.21,43.23 | +| vase | 37.43,37.56,37.49,37.48,37.45,37.53,37.73,37.72,37.85,37.75,37.77 | +| traffic light | 33.06,33.19,33.01,33.13,33.22,33.2,33.28,33.29,33.47,33.41,33.45 | +| tray | 6.23,6.3,6.3,6.39,6.32,6.26,6.35,6.4,6.42,6.41,6.46 | +| ashcan | 42.79,42.83,42.92,42.85,42.81,42.65,42.87,42.86,42.7,42.6,42.52 | +| fan | 57.96,57.86,57.96,57.9,57.97,57.89,57.83,57.81,57.72,57.73,57.71 | +| pier | 49.81,50.35,51.19,50.79,51.68,52.63,54.51,54.8,55.28,56.21,56.51 | +| crt screen | 10.54,10.51,10.43,10.49,10.45,10.44,10.41,10.5,10.44,10.42,10.46 | +| plate | 52.86,52.92,53.02,53.0,53.14,53.05,53.11,53.09,53.21,53.13,53.15 | +| monitor | 18.67,18.57,18.45,18.35,18.18,18.17,18.0,17.96,17.85,17.72,17.64 | +| bulletin board | 38.37,38.54,38.79,38.94,39.01,39.09,39.09,39.42,39.61,39.57,39.73 | +| shower | 0.81,0.82,0.79,0.89,0.78,0.9,0.93,1.08,0.97,1.13,1.12 | +| radiator | 61.56,62.04,62.17,62.85,63.24,63.96,64.26,64.62,65.0,65.18,65.37 | +| glass | 13.46,13.43,13.53,13.56,13.57,13.56,13.6,13.55,13.58,13.58,13.61 | +| clock | 34.42,34.47,34.57,34.7,34.57,34.63,34.52,34.61,34.73,34.62,34.53 | +| flag | 33.52,33.49,33.63,33.5,33.34,33.4,33.46,33.55,33.35,33.53,33.6 | ++---------------------+-------------------------------------------------------------------+ +2023-03-04 04:09:11,649 - mmseg - INFO - Summary: +2023-03-04 04:09:11,649 - mmseg - INFO - ++-------------------------------------------------------------------+ +| mIoU 0,5,10,15,20,25,30,35,40,45,49 | ++-------------------------------------------------------------------+ +| 48.39,48.43,48.46,48.49,48.52,48.56,48.57,48.62,48.61,48.65,48.65 | ++-------------------------------------------------------------------+ +2023-03-04 04:09:11,681 - mmseg - INFO - The previous best checkpoint /mnt/petrelfs/laizeqiang/mmseg-baseline/work_dirs2/ablation_segformer_mit_b2_segformer_head_unet_fc_small_multi_step_ade_pretrained_freeze_embed_160k_ade20k151_finetune_ema_t50/best_mIoU_iter_32000.pth was removed +2023-03-04 04:09:12,613 - mmseg - INFO - Now best checkpoint is saved as best_mIoU_iter_48000.pth. +2023-03-04 04:09:12,614 - mmseg - INFO - Best mIoU is 0.4865 at 48000 iter. +2023-03-04 04:09:12,614 - mmseg - INFO - Exp name: ablation_segformer_mit_b2_segformer_head_unet_fc_small_multi_step_ade_pretrained_freeze_embed_160k_ade20k151_finetune_ema_t50.py +2023-03-04 04:09:12,614 - mmseg - INFO - Iter(val) [250] mIoU: [0.4839, 0.4843, 0.4846, 0.4849, 0.4852, 0.4856, 0.4857, 0.4862, 0.4861, 0.4865, 0.4865], copy_paste: 48.39,48.43,48.46,48.49,48.52,48.56,48.57,48.62,48.61,48.65,48.65 +2023-03-04 04:09:12,621 - mmseg - INFO - Swap parameters (before train) before iter [48001] +2023-03-04 04:09:22,916 - mmseg - INFO - Iter [48050/160000] lr: 1.500e-04, eta: 6:54:33, time: 7.227, data_time: 7.030, memory: 52540, decode.loss_ce: 0.2035, decode.acc_seg: 91.7705, loss: 0.2035 +2023-03-04 04:09:32,631 - mmseg - INFO - Iter [48100/160000] lr: 1.500e-04, eta: 6:54:19, time: 0.194, data_time: 0.007, memory: 52540, decode.loss_ce: 0.2056, decode.acc_seg: 91.6129, loss: 0.2056 +2023-03-04 04:09:42,810 - mmseg - INFO - Iter [48150/160000] lr: 1.500e-04, eta: 6:54:05, time: 0.204, data_time: 0.008, memory: 52540, decode.loss_ce: 0.2017, decode.acc_seg: 91.7387, loss: 0.2017 +2023-03-04 04:09:52,477 - mmseg - INFO - Iter [48200/160000] lr: 1.500e-04, eta: 6:53:51, time: 0.193, data_time: 0.008, memory: 52540, decode.loss_ce: 0.1979, decode.acc_seg: 91.6139, loss: 0.1979 +2023-03-04 04:10:02,062 - mmseg - INFO - Iter [48250/160000] lr: 1.500e-04, eta: 6:53:36, time: 0.192, data_time: 0.008, memory: 52540, decode.loss_ce: 0.2111, decode.acc_seg: 91.2571, loss: 0.2111 +2023-03-04 04:10:11,739 - mmseg - INFO - Iter [48300/160000] lr: 1.500e-04, eta: 6:53:22, time: 0.194, data_time: 0.008, memory: 52540, decode.loss_ce: 0.2092, decode.acc_seg: 91.3776, loss: 0.2092 +2023-03-04 04:10:21,613 - mmseg - INFO - Iter [48350/160000] lr: 1.500e-04, eta: 6:53:08, time: 0.197, data_time: 0.008, memory: 52540, decode.loss_ce: 0.2042, decode.acc_seg: 91.6262, loss: 0.2042 +2023-03-04 04:10:31,294 - mmseg - INFO - Iter [48400/160000] lr: 1.500e-04, eta: 6:52:54, time: 0.194, data_time: 0.008, memory: 52540, decode.loss_ce: 0.2084, decode.acc_seg: 91.2442, loss: 0.2084 +2023-03-04 04:10:40,837 - mmseg - INFO - Iter [48450/160000] lr: 1.500e-04, eta: 6:52:39, time: 0.191, data_time: 0.007, memory: 52540, decode.loss_ce: 0.2032, decode.acc_seg: 91.7049, loss: 0.2032 +2023-03-04 04:10:50,413 - mmseg - INFO - Iter [48500/160000] lr: 1.500e-04, eta: 6:52:24, time: 0.192, data_time: 0.008, memory: 52540, decode.loss_ce: 0.2077, decode.acc_seg: 91.5380, loss: 0.2077 +2023-03-04 04:10:59,971 - mmseg - INFO - Iter [48550/160000] lr: 1.500e-04, eta: 6:52:10, time: 0.191, data_time: 0.008, memory: 52540, decode.loss_ce: 0.2037, decode.acc_seg: 91.8173, loss: 0.2037 +2023-03-04 04:11:12,166 - mmseg - INFO - Iter [48600/160000] lr: 1.500e-04, eta: 6:52:01, time: 0.244, data_time: 0.057, memory: 52540, decode.loss_ce: 0.2116, decode.acc_seg: 91.3186, loss: 0.2116 +2023-03-04 04:11:21,931 - mmseg - INFO - Iter [48650/160000] lr: 1.500e-04, eta: 6:51:47, time: 0.195, data_time: 0.007, memory: 52540, decode.loss_ce: 0.2093, decode.acc_seg: 91.4765, loss: 0.2093 +2023-03-04 04:11:31,367 - mmseg - INFO - Iter [48700/160000] lr: 1.500e-04, eta: 6:51:32, time: 0.189, data_time: 0.008, memory: 52540, decode.loss_ce: 0.2042, decode.acc_seg: 91.6332, loss: 0.2042 +2023-03-04 04:11:41,194 - mmseg - INFO - Iter [48750/160000] lr: 1.500e-04, eta: 6:51:18, time: 0.196, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1923, decode.acc_seg: 92.0623, loss: 0.1923 +2023-03-04 04:11:50,986 - mmseg - INFO - Iter [48800/160000] lr: 1.500e-04, eta: 6:51:04, time: 0.196, data_time: 0.008, memory: 52540, decode.loss_ce: 0.2055, decode.acc_seg: 91.6932, loss: 0.2055 +2023-03-04 04:12:00,574 - mmseg - INFO - Iter [48850/160000] lr: 1.500e-04, eta: 6:50:49, time: 0.192, data_time: 0.008, memory: 52540, decode.loss_ce: 0.2062, decode.acc_seg: 91.7283, loss: 0.2062 +2023-03-04 04:12:10,396 - mmseg - INFO - Iter [48900/160000] lr: 1.500e-04, eta: 6:50:36, time: 0.196, data_time: 0.007, memory: 52540, decode.loss_ce: 0.2122, decode.acc_seg: 91.3617, loss: 0.2122 +2023-03-04 04:12:19,984 - mmseg - INFO - Iter [48950/160000] lr: 1.500e-04, eta: 6:50:21, time: 0.192, data_time: 0.007, memory: 52540, decode.loss_ce: 0.2051, decode.acc_seg: 91.4617, loss: 0.2051 +2023-03-04 04:12:29,624 - mmseg - INFO - Exp name: ablation_segformer_mit_b2_segformer_head_unet_fc_small_multi_step_ade_pretrained_freeze_embed_160k_ade20k151_finetune_ema_t50.py +2023-03-04 04:12:29,624 - mmseg - INFO - Iter [49000/160000] lr: 1.500e-04, eta: 6:50:07, time: 0.193, data_time: 0.007, memory: 52540, decode.loss_ce: 0.2039, decode.acc_seg: 91.6882, loss: 0.2039 +2023-03-04 04:12:39,212 - mmseg - INFO - Iter [49050/160000] lr: 1.500e-04, eta: 6:49:52, time: 0.192, data_time: 0.008, memory: 52540, decode.loss_ce: 0.2055, decode.acc_seg: 91.6294, loss: 0.2055 +2023-03-04 04:12:48,820 - mmseg - INFO - Iter [49100/160000] lr: 1.500e-04, eta: 6:49:38, time: 0.192, data_time: 0.008, memory: 52540, decode.loss_ce: 0.2072, decode.acc_seg: 91.5039, loss: 0.2072 +2023-03-04 04:12:58,520 - mmseg - INFO - Iter [49150/160000] lr: 1.500e-04, eta: 6:49:24, time: 0.194, data_time: 0.007, memory: 52540, decode.loss_ce: 0.2046, decode.acc_seg: 91.6481, loss: 0.2046 +2023-03-04 04:13:07,996 - mmseg - INFO - Iter [49200/160000] lr: 1.500e-04, eta: 6:49:09, time: 0.190, data_time: 0.007, memory: 52540, decode.loss_ce: 0.2091, decode.acc_seg: 91.5147, loss: 0.2091 +2023-03-04 04:13:19,957 - mmseg - INFO - Iter [49250/160000] lr: 1.500e-04, eta: 6:49:00, time: 0.239, data_time: 0.056, memory: 52540, decode.loss_ce: 0.1970, decode.acc_seg: 91.8315, loss: 0.1970 +2023-03-04 04:13:29,515 - mmseg - INFO - Iter [49300/160000] lr: 1.500e-04, eta: 6:48:45, time: 0.191, data_time: 0.008, memory: 52540, decode.loss_ce: 0.2007, decode.acc_seg: 91.7971, loss: 0.2007 +2023-03-04 04:13:39,256 - mmseg - INFO - Iter [49350/160000] lr: 1.500e-04, eta: 6:48:31, time: 0.195, data_time: 0.007, memory: 52540, decode.loss_ce: 0.2062, decode.acc_seg: 91.6778, loss: 0.2062 +2023-03-04 04:13:48,642 - mmseg - INFO - Iter [49400/160000] lr: 1.500e-04, eta: 6:48:16, time: 0.188, data_time: 0.008, memory: 52540, decode.loss_ce: 0.2011, decode.acc_seg: 91.8125, loss: 0.2011 +2023-03-04 04:13:58,189 - mmseg - INFO - Iter [49450/160000] lr: 1.500e-04, eta: 6:48:02, time: 0.191, data_time: 0.008, memory: 52540, decode.loss_ce: 0.2060, decode.acc_seg: 91.4671, loss: 0.2060 +2023-03-04 04:14:07,756 - mmseg - INFO - Iter [49500/160000] lr: 1.500e-04, eta: 6:47:47, time: 0.191, data_time: 0.007, memory: 52540, decode.loss_ce: 0.2076, decode.acc_seg: 91.4826, loss: 0.2076 +2023-03-04 04:14:17,313 - mmseg - INFO - Iter [49550/160000] lr: 1.500e-04, eta: 6:47:33, time: 0.191, data_time: 0.008, memory: 52540, decode.loss_ce: 0.2090, decode.acc_seg: 91.5879, loss: 0.2090 +2023-03-04 04:14:27,144 - mmseg - INFO - Iter [49600/160000] lr: 1.500e-04, eta: 6:47:19, time: 0.197, data_time: 0.008, memory: 52540, decode.loss_ce: 0.2033, decode.acc_seg: 91.7779, loss: 0.2033 +2023-03-04 04:14:36,677 - mmseg - INFO - Iter [49650/160000] lr: 1.500e-04, eta: 6:47:05, time: 0.191, data_time: 0.008, memory: 52540, decode.loss_ce: 0.2064, decode.acc_seg: 91.5347, loss: 0.2064 +2023-03-04 04:14:46,069 - mmseg - INFO - Iter [49700/160000] lr: 1.500e-04, eta: 6:46:50, time: 0.188, data_time: 0.008, memory: 52540, decode.loss_ce: 0.2099, decode.acc_seg: 91.4283, loss: 0.2099 +2023-03-04 04:14:55,749 - mmseg - INFO - Iter [49750/160000] lr: 1.500e-04, eta: 6:46:36, time: 0.194, data_time: 0.008, memory: 52540, decode.loss_ce: 0.2077, decode.acc_seg: 91.5685, loss: 0.2077 +2023-03-04 04:15:05,232 - mmseg - INFO - Iter [49800/160000] lr: 1.500e-04, eta: 6:46:21, time: 0.190, data_time: 0.007, memory: 52540, decode.loss_ce: 0.2045, decode.acc_seg: 91.7019, loss: 0.2045 +2023-03-04 04:15:17,456 - mmseg - INFO - Iter [49850/160000] lr: 1.500e-04, eta: 6:46:13, time: 0.244, data_time: 0.059, memory: 52540, decode.loss_ce: 0.2021, decode.acc_seg: 91.7134, loss: 0.2021 +2023-03-04 04:15:26,891 - mmseg - INFO - Iter [49900/160000] lr: 1.500e-04, eta: 6:45:58, time: 0.189, data_time: 0.007, memory: 52540, decode.loss_ce: 0.2050, decode.acc_seg: 91.6163, loss: 0.2050 +2023-03-04 04:15:36,657 - mmseg - INFO - Iter [49950/160000] lr: 1.500e-04, eta: 6:45:44, time: 0.195, data_time: 0.007, memory: 52540, decode.loss_ce: 0.2084, decode.acc_seg: 91.5543, loss: 0.2084 +2023-03-04 04:15:46,379 - mmseg - INFO - Exp name: ablation_segformer_mit_b2_segformer_head_unet_fc_small_multi_step_ade_pretrained_freeze_embed_160k_ade20k151_finetune_ema_t50.py +2023-03-04 04:15:46,379 - mmseg - INFO - Iter [50000/160000] lr: 1.500e-04, eta: 6:45:30, time: 0.194, data_time: 0.007, memory: 52540, decode.loss_ce: 0.2081, decode.acc_seg: 91.4976, loss: 0.2081 +2023-03-04 04:15:55,768 - mmseg - INFO - Iter [50050/160000] lr: 7.500e-05, eta: 6:45:15, time: 0.188, data_time: 0.007, memory: 52540, decode.loss_ce: 0.2005, decode.acc_seg: 91.8951, loss: 0.2005 +2023-03-04 04:16:05,431 - mmseg - INFO - Iter [50100/160000] lr: 7.500e-05, eta: 6:45:01, time: 0.193, data_time: 0.008, memory: 52540, decode.loss_ce: 0.2069, decode.acc_seg: 91.5896, loss: 0.2069 +2023-03-04 04:16:15,076 - mmseg - INFO - Iter [50150/160000] lr: 7.500e-05, eta: 6:44:47, time: 0.193, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1996, decode.acc_seg: 91.7928, loss: 0.1996 +2023-03-04 04:16:24,647 - mmseg - INFO - Iter [50200/160000] lr: 7.500e-05, eta: 6:44:33, time: 0.191, data_time: 0.008, memory: 52540, decode.loss_ce: 0.2026, decode.acc_seg: 91.6356, loss: 0.2026 +2023-03-04 04:16:34,027 - mmseg - INFO - Iter [50250/160000] lr: 7.500e-05, eta: 6:44:18, time: 0.188, data_time: 0.008, memory: 52540, decode.loss_ce: 0.1980, decode.acc_seg: 91.8598, loss: 0.1980 +2023-03-04 04:16:43,654 - mmseg - INFO - Iter [50300/160000] lr: 7.500e-05, eta: 6:44:04, time: 0.193, data_time: 0.008, memory: 52540, decode.loss_ce: 0.2053, decode.acc_seg: 91.6133, loss: 0.2053 +2023-03-04 04:16:53,366 - mmseg - INFO - Iter [50350/160000] lr: 7.500e-05, eta: 6:43:50, time: 0.194, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1959, decode.acc_seg: 92.0065, loss: 0.1959 +2023-03-04 04:17:02,835 - mmseg - INFO - Iter [50400/160000] lr: 7.500e-05, eta: 6:43:35, time: 0.190, data_time: 0.008, memory: 52540, decode.loss_ce: 0.1902, decode.acc_seg: 92.1124, loss: 0.1902 +2023-03-04 04:17:12,252 - mmseg - INFO - Iter [50450/160000] lr: 7.500e-05, eta: 6:43:21, time: 0.188, data_time: 0.008, memory: 52540, decode.loss_ce: 0.1937, decode.acc_seg: 92.1397, loss: 0.1937 +2023-03-04 04:17:24,629 - mmseg - INFO - Iter [50500/160000] lr: 7.500e-05, eta: 6:43:13, time: 0.248, data_time: 0.056, memory: 52540, decode.loss_ce: 0.1979, decode.acc_seg: 91.9556, loss: 0.1979 +2023-03-04 04:17:34,003 - mmseg - INFO - Iter [50550/160000] lr: 7.500e-05, eta: 6:42:58, time: 0.187, data_time: 0.008, memory: 52540, decode.loss_ce: 0.1945, decode.acc_seg: 91.9423, loss: 0.1945 +2023-03-04 04:17:43,729 - mmseg - INFO - Iter [50600/160000] lr: 7.500e-05, eta: 6:42:44, time: 0.194, data_time: 0.008, memory: 52540, decode.loss_ce: 0.1970, decode.acc_seg: 91.9744, loss: 0.1970 +2023-03-04 04:17:53,250 - mmseg - INFO - Iter [50650/160000] lr: 7.500e-05, eta: 6:42:30, time: 0.191, data_time: 0.008, memory: 52540, decode.loss_ce: 0.1939, decode.acc_seg: 92.1127, loss: 0.1939 +2023-03-04 04:18:02,645 - mmseg - INFO - Iter [50700/160000] lr: 7.500e-05, eta: 6:42:15, time: 0.188, data_time: 0.008, memory: 52540, decode.loss_ce: 0.1958, decode.acc_seg: 92.0773, loss: 0.1958 +2023-03-04 04:18:12,176 - mmseg - INFO - Iter [50750/160000] lr: 7.500e-05, eta: 6:42:01, time: 0.191, data_time: 0.008, memory: 52540, decode.loss_ce: 0.2011, decode.acc_seg: 91.7408, loss: 0.2011 +2023-03-04 04:18:21,865 - mmseg - INFO - Iter [50800/160000] lr: 7.500e-05, eta: 6:41:47, time: 0.194, data_time: 0.008, memory: 52540, decode.loss_ce: 0.1974, decode.acc_seg: 91.7494, loss: 0.1974 +2023-03-04 04:18:31,368 - mmseg - INFO - Iter [50850/160000] lr: 7.500e-05, eta: 6:41:33, time: 0.190, data_time: 0.008, memory: 52540, decode.loss_ce: 0.2143, decode.acc_seg: 91.4000, loss: 0.2143 +2023-03-04 04:18:40,841 - mmseg - INFO - Iter [50900/160000] lr: 7.500e-05, eta: 6:41:18, time: 0.189, data_time: 0.008, memory: 52540, decode.loss_ce: 0.1972, decode.acc_seg: 91.9528, loss: 0.1972 +2023-03-04 04:18:50,515 - mmseg - INFO - Iter [50950/160000] lr: 7.500e-05, eta: 6:41:04, time: 0.193, data_time: 0.008, memory: 52540, decode.loss_ce: 0.2026, decode.acc_seg: 91.6372, loss: 0.2026 +2023-03-04 04:19:00,313 - mmseg - INFO - Exp name: ablation_segformer_mit_b2_segformer_head_unet_fc_small_multi_step_ade_pretrained_freeze_embed_160k_ade20k151_finetune_ema_t50.py +2023-03-04 04:19:00,313 - mmseg - INFO - Iter [51000/160000] lr: 7.500e-05, eta: 6:40:51, time: 0.196, data_time: 0.008, memory: 52540, decode.loss_ce: 0.1946, decode.acc_seg: 92.0795, loss: 0.1946 +2023-03-04 04:19:10,071 - mmseg - INFO - Iter [51050/160000] lr: 7.500e-05, eta: 6:40:37, time: 0.195, data_time: 0.007, memory: 52540, decode.loss_ce: 0.2010, decode.acc_seg: 91.7867, loss: 0.2010 +2023-03-04 04:19:19,666 - mmseg - INFO - Iter [51100/160000] lr: 7.500e-05, eta: 6:40:23, time: 0.192, data_time: 0.008, memory: 52540, decode.loss_ce: 0.1974, decode.acc_seg: 91.8843, loss: 0.1974 +2023-03-04 04:19:31,969 - mmseg - INFO - Iter [51150/160000] lr: 7.500e-05, eta: 6:40:14, time: 0.246, data_time: 0.056, memory: 52540, decode.loss_ce: 0.1895, decode.acc_seg: 92.1116, loss: 0.1895 +2023-03-04 04:19:41,724 - mmseg - INFO - Iter [51200/160000] lr: 7.500e-05, eta: 6:40:01, time: 0.195, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1986, decode.acc_seg: 91.8801, loss: 0.1986 +2023-03-04 04:19:51,409 - mmseg - INFO - Iter [51250/160000] lr: 7.500e-05, eta: 6:39:47, time: 0.194, data_time: 0.007, memory: 52540, decode.loss_ce: 0.2043, decode.acc_seg: 91.7562, loss: 0.2043 +2023-03-04 04:20:00,980 - mmseg - INFO - Iter [51300/160000] lr: 7.500e-05, eta: 6:39:33, time: 0.191, data_time: 0.008, memory: 52540, decode.loss_ce: 0.1959, decode.acc_seg: 91.9936, loss: 0.1959 +2023-03-04 04:20:11,062 - mmseg - INFO - Iter [51350/160000] lr: 7.500e-05, eta: 6:39:20, time: 0.202, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1974, decode.acc_seg: 91.9323, loss: 0.1974 +2023-03-04 04:20:20,615 - mmseg - INFO - Iter [51400/160000] lr: 7.500e-05, eta: 6:39:06, time: 0.191, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1958, decode.acc_seg: 91.9269, loss: 0.1958 +2023-03-04 04:20:30,142 - mmseg - INFO - Iter [51450/160000] lr: 7.500e-05, eta: 6:38:51, time: 0.191, data_time: 0.008, memory: 52540, decode.loss_ce: 0.1926, decode.acc_seg: 92.0819, loss: 0.1926 +2023-03-04 04:20:39,930 - mmseg - INFO - Iter [51500/160000] lr: 7.500e-05, eta: 6:38:38, time: 0.196, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1996, decode.acc_seg: 91.8401, loss: 0.1996 +2023-03-04 04:20:49,646 - mmseg - INFO - Iter [51550/160000] lr: 7.500e-05, eta: 6:38:24, time: 0.194, data_time: 0.008, memory: 52540, decode.loss_ce: 0.1949, decode.acc_seg: 91.9467, loss: 0.1949 +2023-03-04 04:20:59,476 - mmseg - INFO - Iter [51600/160000] lr: 7.500e-05, eta: 6:38:10, time: 0.197, data_time: 0.008, memory: 52540, decode.loss_ce: 0.1922, decode.acc_seg: 92.2001, loss: 0.1922 +2023-03-04 04:21:08,920 - mmseg - INFO - Iter [51650/160000] lr: 7.500e-05, eta: 6:37:56, time: 0.189, data_time: 0.008, memory: 52540, decode.loss_ce: 0.1979, decode.acc_seg: 91.8187, loss: 0.1979 +2023-03-04 04:21:18,821 - mmseg - INFO - Iter [51700/160000] lr: 7.500e-05, eta: 6:37:43, time: 0.198, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1962, decode.acc_seg: 91.9035, loss: 0.1962 +2023-03-04 04:21:31,106 - mmseg - INFO - Iter [51750/160000] lr: 7.500e-05, eta: 6:37:34, time: 0.246, data_time: 0.057, memory: 52540, decode.loss_ce: 0.1945, decode.acc_seg: 91.8270, loss: 0.1945 +2023-03-04 04:21:41,000 - mmseg - INFO - Iter [51800/160000] lr: 7.500e-05, eta: 6:37:21, time: 0.198, data_time: 0.008, memory: 52540, decode.loss_ce: 0.1918, decode.acc_seg: 92.0899, loss: 0.1918 +2023-03-04 04:21:50,670 - mmseg - INFO - Iter [51850/160000] lr: 7.500e-05, eta: 6:37:07, time: 0.193, data_time: 0.008, memory: 52540, decode.loss_ce: 0.1999, decode.acc_seg: 91.7726, loss: 0.1999 +2023-03-04 04:22:00,202 - mmseg - INFO - Iter [51900/160000] lr: 7.500e-05, eta: 6:36:53, time: 0.191, data_time: 0.008, memory: 52540, decode.loss_ce: 0.1960, decode.acc_seg: 91.9292, loss: 0.1960 +2023-03-04 04:22:09,672 - mmseg - INFO - Iter [51950/160000] lr: 7.500e-05, eta: 6:36:39, time: 0.189, data_time: 0.008, memory: 52540, decode.loss_ce: 0.2017, decode.acc_seg: 91.6950, loss: 0.2017 +2023-03-04 04:22:19,113 - mmseg - INFO - Exp name: ablation_segformer_mit_b2_segformer_head_unet_fc_small_multi_step_ade_pretrained_freeze_embed_160k_ade20k151_finetune_ema_t50.py +2023-03-04 04:22:19,113 - mmseg - INFO - Iter [52000/160000] lr: 7.500e-05, eta: 6:36:25, time: 0.189, data_time: 0.008, memory: 52540, decode.loss_ce: 0.1952, decode.acc_seg: 91.7826, loss: 0.1952 +2023-03-04 04:22:28,623 - mmseg - INFO - Iter [52050/160000] lr: 7.500e-05, eta: 6:36:10, time: 0.190, data_time: 0.007, memory: 52540, decode.loss_ce: 0.2011, decode.acc_seg: 91.8256, loss: 0.2011 +2023-03-04 04:22:38,064 - mmseg - INFO - Iter [52100/160000] lr: 7.500e-05, eta: 6:35:56, time: 0.189, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1983, decode.acc_seg: 92.0284, loss: 0.1983 +2023-03-04 04:22:48,552 - mmseg - INFO - Iter [52150/160000] lr: 7.500e-05, eta: 6:35:44, time: 0.210, data_time: 0.009, memory: 52540, decode.loss_ce: 0.1967, decode.acc_seg: 91.8550, loss: 0.1967 +2023-03-04 04:22:58,116 - mmseg - INFO - Iter [52200/160000] lr: 7.500e-05, eta: 6:35:30, time: 0.191, data_time: 0.007, memory: 52540, decode.loss_ce: 0.2075, decode.acc_seg: 91.6975, loss: 0.2075 +2023-03-04 04:23:08,016 - mmseg - INFO - Iter [52250/160000] lr: 7.500e-05, eta: 6:35:17, time: 0.198, data_time: 0.008, memory: 52540, decode.loss_ce: 0.2010, decode.acc_seg: 91.9502, loss: 0.2010 +2023-03-04 04:23:17,556 - mmseg - INFO - Iter [52300/160000] lr: 7.500e-05, eta: 6:35:03, time: 0.191, data_time: 0.008, memory: 52540, decode.loss_ce: 0.2000, decode.acc_seg: 91.9195, loss: 0.2000 +2023-03-04 04:23:27,096 - mmseg - INFO - Iter [52350/160000] lr: 7.500e-05, eta: 6:34:49, time: 0.191, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1990, decode.acc_seg: 91.7932, loss: 0.1990 +2023-03-04 04:23:39,192 - mmseg - INFO - Iter [52400/160000] lr: 7.500e-05, eta: 6:34:40, time: 0.242, data_time: 0.054, memory: 52540, decode.loss_ce: 0.2056, decode.acc_seg: 91.6340, loss: 0.2056 +2023-03-04 04:23:48,701 - mmseg - INFO - Iter [52450/160000] lr: 7.500e-05, eta: 6:34:26, time: 0.190, data_time: 0.008, memory: 52540, decode.loss_ce: 0.1965, decode.acc_seg: 91.8647, loss: 0.1965 +2023-03-04 04:23:58,199 - mmseg - INFO - Iter [52500/160000] lr: 7.500e-05, eta: 6:34:12, time: 0.190, data_time: 0.008, memory: 52540, decode.loss_ce: 0.1962, decode.acc_seg: 91.9339, loss: 0.1962 +2023-03-04 04:24:07,681 - mmseg - INFO - Iter [52550/160000] lr: 7.500e-05, eta: 6:33:58, time: 0.190, data_time: 0.007, memory: 52540, decode.loss_ce: 0.2056, decode.acc_seg: 91.6921, loss: 0.2056 +2023-03-04 04:24:17,070 - mmseg - INFO - Iter [52600/160000] lr: 7.500e-05, eta: 6:33:44, time: 0.188, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1991, decode.acc_seg: 91.9087, loss: 0.1991 +2023-03-04 04:24:26,595 - mmseg - INFO - Iter [52650/160000] lr: 7.500e-05, eta: 6:33:30, time: 0.190, data_time: 0.008, memory: 52540, decode.loss_ce: 0.1923, decode.acc_seg: 91.9685, loss: 0.1923 +2023-03-04 04:24:36,061 - mmseg - INFO - Iter [52700/160000] lr: 7.500e-05, eta: 6:33:15, time: 0.189, data_time: 0.008, memory: 52540, decode.loss_ce: 0.1885, decode.acc_seg: 92.1614, loss: 0.1885 +2023-03-04 04:24:45,640 - mmseg - INFO - Iter [52750/160000] lr: 7.500e-05, eta: 6:33:02, time: 0.192, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1960, decode.acc_seg: 92.0519, loss: 0.1960 +2023-03-04 04:24:55,526 - mmseg - INFO - Iter [52800/160000] lr: 7.500e-05, eta: 6:32:48, time: 0.198, data_time: 0.008, memory: 52540, decode.loss_ce: 0.1947, decode.acc_seg: 91.9248, loss: 0.1947 +2023-03-04 04:25:05,022 - mmseg - INFO - Iter [52850/160000] lr: 7.500e-05, eta: 6:32:34, time: 0.190, data_time: 0.008, memory: 52540, decode.loss_ce: 0.1924, decode.acc_seg: 92.0790, loss: 0.1924 +2023-03-04 04:25:14,449 - mmseg - INFO - Iter [52900/160000] lr: 7.500e-05, eta: 6:32:20, time: 0.189, data_time: 0.008, memory: 52540, decode.loss_ce: 0.1905, decode.acc_seg: 92.2400, loss: 0.1905 +2023-03-04 04:25:24,134 - mmseg - INFO - Iter [52950/160000] lr: 7.500e-05, eta: 6:32:06, time: 0.194, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1968, decode.acc_seg: 91.8699, loss: 0.1968 +2023-03-04 04:25:33,582 - mmseg - INFO - Exp name: ablation_segformer_mit_b2_segformer_head_unet_fc_small_multi_step_ade_pretrained_freeze_embed_160k_ade20k151_finetune_ema_t50.py +2023-03-04 04:25:33,582 - mmseg - INFO - Iter [53000/160000] lr: 7.500e-05, eta: 6:31:52, time: 0.189, data_time: 0.008, memory: 52540, decode.loss_ce: 0.2004, decode.acc_seg: 91.7794, loss: 0.2004 +2023-03-04 04:25:45,613 - mmseg - INFO - Iter [53050/160000] lr: 7.500e-05, eta: 6:31:43, time: 0.241, data_time: 0.054, memory: 52540, decode.loss_ce: 0.2081, decode.acc_seg: 91.4437, loss: 0.2081 +2023-03-04 04:25:55,115 - mmseg - INFO - Iter [53100/160000] lr: 7.500e-05, eta: 6:31:29, time: 0.190, data_time: 0.008, memory: 52540, decode.loss_ce: 0.1884, decode.acc_seg: 92.1415, loss: 0.1884 +2023-03-04 04:26:04,670 - mmseg - INFO - Iter [53150/160000] lr: 7.500e-05, eta: 6:31:16, time: 0.191, data_time: 0.008, memory: 52540, decode.loss_ce: 0.2115, decode.acc_seg: 91.6255, loss: 0.2115 +2023-03-04 04:26:14,183 - mmseg - INFO - Iter [53200/160000] lr: 7.500e-05, eta: 6:31:02, time: 0.190, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1956, decode.acc_seg: 91.9860, loss: 0.1956 +2023-03-04 04:26:24,000 - mmseg - INFO - Iter [53250/160000] lr: 7.500e-05, eta: 6:30:48, time: 0.196, data_time: 0.008, memory: 52540, decode.loss_ce: 0.1917, decode.acc_seg: 92.0756, loss: 0.1917 +2023-03-04 04:26:34,412 - mmseg - INFO - Iter [53300/160000] lr: 7.500e-05, eta: 6:30:36, time: 0.208, data_time: 0.008, memory: 52540, decode.loss_ce: 0.1978, decode.acc_seg: 91.8563, loss: 0.1978 +2023-03-04 04:26:43,880 - mmseg - INFO - Iter [53350/160000] lr: 7.500e-05, eta: 6:30:22, time: 0.190, data_time: 0.008, memory: 52540, decode.loss_ce: 0.1903, decode.acc_seg: 92.0735, loss: 0.1903 +2023-03-04 04:26:53,877 - mmseg - INFO - Iter [53400/160000] lr: 7.500e-05, eta: 6:30:09, time: 0.200, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1957, decode.acc_seg: 91.9180, loss: 0.1957 +2023-03-04 04:27:03,455 - mmseg - INFO - Iter [53450/160000] lr: 7.500e-05, eta: 6:29:55, time: 0.192, data_time: 0.008, memory: 52540, decode.loss_ce: 0.2043, decode.acc_seg: 91.7404, loss: 0.2043 +2023-03-04 04:27:13,026 - mmseg - INFO - Iter [53500/160000] lr: 7.500e-05, eta: 6:29:42, time: 0.191, data_time: 0.007, memory: 52540, decode.loss_ce: 0.2028, decode.acc_seg: 91.8221, loss: 0.2028 +2023-03-04 04:27:22,444 - mmseg - INFO - Iter [53550/160000] lr: 7.500e-05, eta: 6:29:28, time: 0.188, data_time: 0.008, memory: 52540, decode.loss_ce: 0.1952, decode.acc_seg: 91.8866, loss: 0.1952 +2023-03-04 04:27:31,823 - mmseg - INFO - Iter [53600/160000] lr: 7.500e-05, eta: 6:29:13, time: 0.188, data_time: 0.008, memory: 52540, decode.loss_ce: 0.1894, decode.acc_seg: 92.2152, loss: 0.1894 +2023-03-04 04:27:44,185 - mmseg - INFO - Iter [53650/160000] lr: 7.500e-05, eta: 6:29:05, time: 0.247, data_time: 0.056, memory: 52540, decode.loss_ce: 0.1874, decode.acc_seg: 92.2916, loss: 0.1874 +2023-03-04 04:27:53,745 - mmseg - INFO - Iter [53700/160000] lr: 7.500e-05, eta: 6:28:51, time: 0.191, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1979, decode.acc_seg: 91.8613, loss: 0.1979 +2023-03-04 04:28:03,408 - mmseg - INFO - Iter [53750/160000] lr: 7.500e-05, eta: 6:28:38, time: 0.193, data_time: 0.008, memory: 52540, decode.loss_ce: 0.1978, decode.acc_seg: 91.8961, loss: 0.1978 +2023-03-04 04:28:13,246 - mmseg - INFO - Iter [53800/160000] lr: 7.500e-05, eta: 6:28:25, time: 0.197, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1950, decode.acc_seg: 92.1465, loss: 0.1950 +2023-03-04 04:28:22,791 - mmseg - INFO - Iter [53850/160000] lr: 7.500e-05, eta: 6:28:11, time: 0.191, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1943, decode.acc_seg: 92.0483, loss: 0.1943 +2023-03-04 04:28:32,401 - mmseg - INFO - Iter [53900/160000] lr: 7.500e-05, eta: 6:27:57, time: 0.192, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1955, decode.acc_seg: 91.8945, loss: 0.1955 +2023-03-04 04:28:42,265 - mmseg - INFO - Iter [53950/160000] lr: 7.500e-05, eta: 6:27:44, time: 0.197, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1889, decode.acc_seg: 92.1241, loss: 0.1889 +2023-03-04 04:28:51,798 - mmseg - INFO - Exp name: ablation_segformer_mit_b2_segformer_head_unet_fc_small_multi_step_ade_pretrained_freeze_embed_160k_ade20k151_finetune_ema_t50.py +2023-03-04 04:28:51,798 - mmseg - INFO - Iter [54000/160000] lr: 7.500e-05, eta: 6:27:30, time: 0.191, data_time: 0.008, memory: 52540, decode.loss_ce: 0.2029, decode.acc_seg: 91.6794, loss: 0.2029 +2023-03-04 04:29:01,312 - mmseg - INFO - Iter [54050/160000] lr: 7.500e-05, eta: 6:27:17, time: 0.190, data_time: 0.008, memory: 52540, decode.loss_ce: 0.1886, decode.acc_seg: 92.2958, loss: 0.1886 +2023-03-04 04:29:11,054 - mmseg - INFO - Iter [54100/160000] lr: 7.500e-05, eta: 6:27:03, time: 0.195, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1968, decode.acc_seg: 91.9529, loss: 0.1968 +2023-03-04 04:29:20,497 - mmseg - INFO - Iter [54150/160000] lr: 7.500e-05, eta: 6:26:49, time: 0.189, data_time: 0.008, memory: 52540, decode.loss_ce: 0.2000, decode.acc_seg: 91.8701, loss: 0.2000 +2023-03-04 04:29:30,040 - mmseg - INFO - Iter [54200/160000] lr: 7.500e-05, eta: 6:26:35, time: 0.191, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1981, decode.acc_seg: 92.0443, loss: 0.1981 +2023-03-04 04:29:39,681 - mmseg - INFO - Iter [54250/160000] lr: 7.500e-05, eta: 6:26:22, time: 0.193, data_time: 0.008, memory: 52540, decode.loss_ce: 0.1937, decode.acc_seg: 92.0863, loss: 0.1937 +2023-03-04 04:29:52,005 - mmseg - INFO - Iter [54300/160000] lr: 7.500e-05, eta: 6:26:14, time: 0.246, data_time: 0.058, memory: 52540, decode.loss_ce: 0.1980, decode.acc_seg: 91.8622, loss: 0.1980 +2023-03-04 04:30:01,445 - mmseg - INFO - Iter [54350/160000] lr: 7.500e-05, eta: 6:26:00, time: 0.189, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1964, decode.acc_seg: 91.8672, loss: 0.1964 +2023-03-04 04:30:11,010 - mmseg - INFO - Iter [54400/160000] lr: 7.500e-05, eta: 6:25:46, time: 0.191, data_time: 0.007, memory: 52540, decode.loss_ce: 0.2042, decode.acc_seg: 91.5808, loss: 0.2042 +2023-03-04 04:30:20,626 - mmseg - INFO - Iter [54450/160000] lr: 7.500e-05, eta: 6:25:32, time: 0.192, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1894, decode.acc_seg: 92.0898, loss: 0.1894 +2023-03-04 04:30:30,144 - mmseg - INFO - Iter [54500/160000] lr: 7.500e-05, eta: 6:25:19, time: 0.190, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1921, decode.acc_seg: 92.1165, loss: 0.1921 +2023-03-04 04:30:39,970 - mmseg - INFO - Iter [54550/160000] lr: 7.500e-05, eta: 6:25:06, time: 0.197, data_time: 0.008, memory: 52540, decode.loss_ce: 0.1956, decode.acc_seg: 92.0467, loss: 0.1956 +2023-03-04 04:30:49,536 - mmseg - INFO - Iter [54600/160000] lr: 7.500e-05, eta: 6:24:52, time: 0.191, data_time: 0.007, memory: 52540, decode.loss_ce: 0.2056, decode.acc_seg: 91.5537, loss: 0.2056 +2023-03-04 04:30:59,384 - mmseg - INFO - Iter [54650/160000] lr: 7.500e-05, eta: 6:24:39, time: 0.197, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1871, decode.acc_seg: 92.1569, loss: 0.1871 +2023-03-04 04:31:08,854 - mmseg - INFO - Iter [54700/160000] lr: 7.500e-05, eta: 6:24:25, time: 0.190, data_time: 0.008, memory: 52540, decode.loss_ce: 0.1997, decode.acc_seg: 91.8429, loss: 0.1997 +2023-03-04 04:31:18,290 - mmseg - INFO - Iter [54750/160000] lr: 7.500e-05, eta: 6:24:11, time: 0.188, data_time: 0.008, memory: 52540, decode.loss_ce: 0.2059, decode.acc_seg: 91.6949, loss: 0.2059 +2023-03-04 04:31:27,838 - mmseg - INFO - Iter [54800/160000] lr: 7.500e-05, eta: 6:23:58, time: 0.191, data_time: 0.008, memory: 52540, decode.loss_ce: 0.2004, decode.acc_seg: 92.0090, loss: 0.2004 +2023-03-04 04:31:37,474 - mmseg - INFO - Iter [54850/160000] lr: 7.500e-05, eta: 6:23:44, time: 0.193, data_time: 0.007, memory: 52540, decode.loss_ce: 0.2016, decode.acc_seg: 91.8822, loss: 0.2016 +2023-03-04 04:31:49,535 - mmseg - INFO - Iter [54900/160000] lr: 7.500e-05, eta: 6:23:35, time: 0.241, data_time: 0.055, memory: 52540, decode.loss_ce: 0.2018, decode.acc_seg: 91.8020, loss: 0.2018 +2023-03-04 04:31:59,527 - mmseg - INFO - Iter [54950/160000] lr: 7.500e-05, eta: 6:23:22, time: 0.200, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1988, decode.acc_seg: 91.7983, loss: 0.1988 +2023-03-04 04:32:09,312 - mmseg - INFO - Exp name: ablation_segformer_mit_b2_segformer_head_unet_fc_small_multi_step_ade_pretrained_freeze_embed_160k_ade20k151_finetune_ema_t50.py +2023-03-04 04:32:09,312 - mmseg - INFO - Iter [55000/160000] lr: 7.500e-05, eta: 6:23:09, time: 0.196, data_time: 0.007, memory: 52540, decode.loss_ce: 0.2006, decode.acc_seg: 91.7707, loss: 0.2006 +2023-03-04 04:32:18,769 - mmseg - INFO - Iter [55050/160000] lr: 7.500e-05, eta: 6:22:55, time: 0.189, data_time: 0.008, memory: 52540, decode.loss_ce: 0.1977, decode.acc_seg: 91.9492, loss: 0.1977 +2023-03-04 04:32:28,555 - mmseg - INFO - Iter [55100/160000] lr: 7.500e-05, eta: 6:22:42, time: 0.196, data_time: 0.008, memory: 52540, decode.loss_ce: 0.1979, decode.acc_seg: 91.8262, loss: 0.1979 +2023-03-04 04:32:38,190 - mmseg - INFO - Iter [55150/160000] lr: 7.500e-05, eta: 6:22:29, time: 0.192, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1887, decode.acc_seg: 92.1411, loss: 0.1887 +2023-03-04 04:32:47,843 - mmseg - INFO - Iter [55200/160000] lr: 7.500e-05, eta: 6:22:16, time: 0.193, data_time: 0.008, memory: 52540, decode.loss_ce: 0.1926, decode.acc_seg: 92.0672, loss: 0.1926 +2023-03-04 04:32:57,626 - mmseg - INFO - Iter [55250/160000] lr: 7.500e-05, eta: 6:22:02, time: 0.196, data_time: 0.008, memory: 52540, decode.loss_ce: 0.2044, decode.acc_seg: 91.6474, loss: 0.2044 +2023-03-04 04:33:07,275 - mmseg - INFO - Iter [55300/160000] lr: 7.500e-05, eta: 6:21:49, time: 0.193, data_time: 0.008, memory: 52540, decode.loss_ce: 0.1914, decode.acc_seg: 92.1637, loss: 0.1914 +2023-03-04 04:33:16,933 - mmseg - INFO - Iter [55350/160000] lr: 7.500e-05, eta: 6:21:36, time: 0.193, data_time: 0.008, memory: 52540, decode.loss_ce: 0.1960, decode.acc_seg: 91.9961, loss: 0.1960 +2023-03-04 04:33:26,370 - mmseg - INFO - Iter [55400/160000] lr: 7.500e-05, eta: 6:21:22, time: 0.189, data_time: 0.008, memory: 52540, decode.loss_ce: 0.1923, decode.acc_seg: 92.0870, loss: 0.1923 +2023-03-04 04:33:36,011 - mmseg - INFO - Iter [55450/160000] lr: 7.500e-05, eta: 6:21:08, time: 0.193, data_time: 0.008, memory: 52540, decode.loss_ce: 0.1960, decode.acc_seg: 92.1379, loss: 0.1960 +2023-03-04 04:33:45,529 - mmseg - INFO - Iter [55500/160000] lr: 7.500e-05, eta: 6:20:55, time: 0.190, data_time: 0.008, memory: 52540, decode.loss_ce: 0.1972, decode.acc_seg: 91.9883, loss: 0.1972 +2023-03-04 04:33:57,575 - mmseg - INFO - Iter [55550/160000] lr: 7.500e-05, eta: 6:20:46, time: 0.241, data_time: 0.054, memory: 52540, decode.loss_ce: 0.1914, decode.acc_seg: 92.0402, loss: 0.1914 +2023-03-04 04:34:06,978 - mmseg - INFO - Iter [55600/160000] lr: 7.500e-05, eta: 6:20:32, time: 0.188, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1919, decode.acc_seg: 92.0773, loss: 0.1919 +2023-03-04 04:34:16,644 - mmseg - INFO - Iter [55650/160000] lr: 7.500e-05, eta: 6:20:19, time: 0.193, data_time: 0.008, memory: 52540, decode.loss_ce: 0.2009, decode.acc_seg: 91.7858, loss: 0.2009 +2023-03-04 04:34:26,193 - mmseg - INFO - Iter [55700/160000] lr: 7.500e-05, eta: 6:20:05, time: 0.191, data_time: 0.008, memory: 52540, decode.loss_ce: 0.2004, decode.acc_seg: 91.7776, loss: 0.2004 +2023-03-04 04:34:35,761 - mmseg - INFO - Iter [55750/160000] lr: 7.500e-05, eta: 6:19:52, time: 0.191, data_time: 0.008, memory: 52540, decode.loss_ce: 0.2026, decode.acc_seg: 91.7935, loss: 0.2026 +2023-03-04 04:34:45,233 - mmseg - INFO - Iter [55800/160000] lr: 7.500e-05, eta: 6:19:38, time: 0.189, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1899, decode.acc_seg: 92.1545, loss: 0.1899 +2023-03-04 04:34:55,051 - mmseg - INFO - Iter [55850/160000] lr: 7.500e-05, eta: 6:19:25, time: 0.197, data_time: 0.008, memory: 52540, decode.loss_ce: 0.1942, decode.acc_seg: 92.0712, loss: 0.1942 +2023-03-04 04:35:04,478 - mmseg - INFO - Iter [55900/160000] lr: 7.500e-05, eta: 6:19:11, time: 0.189, data_time: 0.008, memory: 52540, decode.loss_ce: 0.1901, decode.acc_seg: 92.2181, loss: 0.1901 +2023-03-04 04:35:13,907 - mmseg - INFO - Iter [55950/160000] lr: 7.500e-05, eta: 6:18:58, time: 0.189, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1896, decode.acc_seg: 92.1552, loss: 0.1896 +2023-03-04 04:35:23,649 - mmseg - INFO - Exp name: ablation_segformer_mit_b2_segformer_head_unet_fc_small_multi_step_ade_pretrained_freeze_embed_160k_ade20k151_finetune_ema_t50.py +2023-03-04 04:35:23,650 - mmseg - INFO - Iter [56000/160000] lr: 7.500e-05, eta: 6:18:45, time: 0.195, data_time: 0.008, memory: 52540, decode.loss_ce: 0.2060, decode.acc_seg: 91.6396, loss: 0.2060 +2023-03-04 04:35:33,307 - mmseg - INFO - Iter [56050/160000] lr: 7.500e-05, eta: 6:18:31, time: 0.193, data_time: 0.008, memory: 52540, decode.loss_ce: 0.1932, decode.acc_seg: 91.9093, loss: 0.1932 +2023-03-04 04:35:43,521 - mmseg - INFO - Iter [56100/160000] lr: 7.500e-05, eta: 6:18:19, time: 0.204, data_time: 0.008, memory: 52540, decode.loss_ce: 0.1968, decode.acc_seg: 91.9904, loss: 0.1968 +2023-03-04 04:35:52,903 - mmseg - INFO - Iter [56150/160000] lr: 7.500e-05, eta: 6:18:05, time: 0.188, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1920, decode.acc_seg: 92.0066, loss: 0.1920 +2023-03-04 04:36:04,878 - mmseg - INFO - Iter [56200/160000] lr: 7.500e-05, eta: 6:17:56, time: 0.239, data_time: 0.057, memory: 52540, decode.loss_ce: 0.1898, decode.acc_seg: 92.1572, loss: 0.1898 +2023-03-04 04:36:14,388 - mmseg - INFO - Iter [56250/160000] lr: 7.500e-05, eta: 6:17:43, time: 0.190, data_time: 0.008, memory: 52540, decode.loss_ce: 0.2044, decode.acc_seg: 91.7259, loss: 0.2044 +2023-03-04 04:36:24,214 - mmseg - INFO - Iter [56300/160000] lr: 7.500e-05, eta: 6:17:30, time: 0.196, data_time: 0.008, memory: 52540, decode.loss_ce: 0.1953, decode.acc_seg: 92.0407, loss: 0.1953 +2023-03-04 04:36:34,018 - mmseg - INFO - Iter [56350/160000] lr: 7.500e-05, eta: 6:17:17, time: 0.196, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1982, decode.acc_seg: 91.8404, loss: 0.1982 +2023-03-04 04:36:43,886 - mmseg - INFO - Iter [56400/160000] lr: 7.500e-05, eta: 6:17:04, time: 0.197, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1913, decode.acc_seg: 92.1144, loss: 0.1913 +2023-03-04 04:36:53,421 - mmseg - INFO - Iter [56450/160000] lr: 7.500e-05, eta: 6:16:51, time: 0.191, data_time: 0.007, memory: 52540, decode.loss_ce: 0.2011, decode.acc_seg: 91.6981, loss: 0.2011 +2023-03-04 04:37:02,883 - mmseg - INFO - Iter [56500/160000] lr: 7.500e-05, eta: 6:16:37, time: 0.189, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1933, decode.acc_seg: 91.9872, loss: 0.1933 +2023-03-04 04:37:12,486 - mmseg - INFO - Iter [56550/160000] lr: 7.500e-05, eta: 6:16:24, time: 0.192, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1957, decode.acc_seg: 92.0186, loss: 0.1957 +2023-03-04 04:37:22,226 - mmseg - INFO - Iter [56600/160000] lr: 7.500e-05, eta: 6:16:11, time: 0.195, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1937, decode.acc_seg: 92.0190, loss: 0.1937 +2023-03-04 04:37:31,894 - mmseg - INFO - Iter [56650/160000] lr: 7.500e-05, eta: 6:15:57, time: 0.194, data_time: 0.008, memory: 52540, decode.loss_ce: 0.1963, decode.acc_seg: 92.0126, loss: 0.1963 +2023-03-04 04:37:41,415 - mmseg - INFO - Iter [56700/160000] lr: 7.500e-05, eta: 6:15:44, time: 0.190, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1937, decode.acc_seg: 92.1809, loss: 0.1937 +2023-03-04 04:37:50,916 - mmseg - INFO - Iter [56750/160000] lr: 7.500e-05, eta: 6:15:30, time: 0.190, data_time: 0.008, memory: 52540, decode.loss_ce: 0.1899, decode.acc_seg: 92.2969, loss: 0.1899 +2023-03-04 04:38:02,993 - mmseg - INFO - Iter [56800/160000] lr: 7.500e-05, eta: 6:15:22, time: 0.242, data_time: 0.055, memory: 52540, decode.loss_ce: 0.1979, decode.acc_seg: 91.9227, loss: 0.1979 +2023-03-04 04:38:12,567 - mmseg - INFO - Iter [56850/160000] lr: 7.500e-05, eta: 6:15:08, time: 0.191, data_time: 0.007, memory: 52540, decode.loss_ce: 0.2037, decode.acc_seg: 91.6480, loss: 0.2037 +2023-03-04 04:38:22,009 - mmseg - INFO - Iter [56900/160000] lr: 7.500e-05, eta: 6:14:55, time: 0.189, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1986, decode.acc_seg: 91.9038, loss: 0.1986 +2023-03-04 04:38:31,494 - mmseg - INFO - Iter [56950/160000] lr: 7.500e-05, eta: 6:14:41, time: 0.190, data_time: 0.008, memory: 52540, decode.loss_ce: 0.1855, decode.acc_seg: 92.3553, loss: 0.1855 +2023-03-04 04:38:41,232 - mmseg - INFO - Exp name: ablation_segformer_mit_b2_segformer_head_unet_fc_small_multi_step_ade_pretrained_freeze_embed_160k_ade20k151_finetune_ema_t50.py +2023-03-04 04:38:41,232 - mmseg - INFO - Iter [57000/160000] lr: 7.500e-05, eta: 6:14:28, time: 0.195, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1941, decode.acc_seg: 92.0028, loss: 0.1941 +2023-03-04 04:38:50,917 - mmseg - INFO - Iter [57050/160000] lr: 7.500e-05, eta: 6:14:15, time: 0.193, data_time: 0.007, memory: 52540, decode.loss_ce: 0.2153, decode.acc_seg: 91.4886, loss: 0.2153 +2023-03-04 04:39:00,834 - mmseg - INFO - Iter [57100/160000] lr: 7.500e-05, eta: 6:14:02, time: 0.199, data_time: 0.008, memory: 52540, decode.loss_ce: 0.1866, decode.acc_seg: 92.4402, loss: 0.1866 +2023-03-04 04:39:10,258 - mmseg - INFO - Iter [57150/160000] lr: 7.500e-05, eta: 6:13:49, time: 0.188, data_time: 0.008, memory: 52540, decode.loss_ce: 0.1878, decode.acc_seg: 92.2367, loss: 0.1878 +2023-03-04 04:39:19,636 - mmseg - INFO - Iter [57200/160000] lr: 7.500e-05, eta: 6:13:35, time: 0.188, data_time: 0.008, memory: 52540, decode.loss_ce: 0.1959, decode.acc_seg: 91.8716, loss: 0.1959 +2023-03-04 04:39:29,196 - mmseg - INFO - Iter [57250/160000] lr: 7.500e-05, eta: 6:13:22, time: 0.191, data_time: 0.008, memory: 52540, decode.loss_ce: 0.2033, decode.acc_seg: 91.8657, loss: 0.2033 +2023-03-04 04:39:38,917 - mmseg - INFO - Iter [57300/160000] lr: 7.500e-05, eta: 6:13:09, time: 0.194, data_time: 0.007, memory: 52540, decode.loss_ce: 0.2044, decode.acc_seg: 91.7215, loss: 0.2044 +2023-03-04 04:39:48,434 - mmseg - INFO - Iter [57350/160000] lr: 7.500e-05, eta: 6:12:56, time: 0.190, data_time: 0.008, memory: 52540, decode.loss_ce: 0.1976, decode.acc_seg: 91.8584, loss: 0.1976 +2023-03-04 04:39:57,811 - mmseg - INFO - Iter [57400/160000] lr: 7.500e-05, eta: 6:12:42, time: 0.188, data_time: 0.008, memory: 52540, decode.loss_ce: 0.1951, decode.acc_seg: 92.0533, loss: 0.1951 +2023-03-04 04:40:09,950 - mmseg - INFO - Iter [57450/160000] lr: 7.500e-05, eta: 6:12:33, time: 0.243, data_time: 0.055, memory: 52540, decode.loss_ce: 0.1985, decode.acc_seg: 91.8564, loss: 0.1985 +2023-03-04 04:40:19,467 - mmseg - INFO - Iter [57500/160000] lr: 7.500e-05, eta: 6:12:20, time: 0.190, data_time: 0.008, memory: 52540, decode.loss_ce: 0.1988, decode.acc_seg: 91.9224, loss: 0.1988 +2023-03-04 04:40:28,913 - mmseg - INFO - Iter [57550/160000] lr: 7.500e-05, eta: 6:12:06, time: 0.189, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1885, decode.acc_seg: 92.2383, loss: 0.1885 +2023-03-04 04:40:38,395 - mmseg - INFO - Iter [57600/160000] lr: 7.500e-05, eta: 6:11:53, time: 0.190, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1953, decode.acc_seg: 91.9860, loss: 0.1953 +2023-03-04 04:40:47,992 - mmseg - INFO - Iter [57650/160000] lr: 7.500e-05, eta: 6:11:40, time: 0.192, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1960, decode.acc_seg: 91.9502, loss: 0.1960 +2023-03-04 04:40:57,568 - mmseg - INFO - Iter [57700/160000] lr: 7.500e-05, eta: 6:11:27, time: 0.192, data_time: 0.008, memory: 52540, decode.loss_ce: 0.2011, decode.acc_seg: 91.6796, loss: 0.2011 +2023-03-04 04:41:07,325 - mmseg - INFO - Iter [57750/160000] lr: 7.500e-05, eta: 6:11:14, time: 0.195, data_time: 0.008, memory: 52540, decode.loss_ce: 0.1925, decode.acc_seg: 92.2226, loss: 0.1925 +2023-03-04 04:41:16,749 - mmseg - INFO - Iter [57800/160000] lr: 7.500e-05, eta: 6:11:00, time: 0.188, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1928, decode.acc_seg: 92.0843, loss: 0.1928 +2023-03-04 04:41:26,132 - mmseg - INFO - Iter [57850/160000] lr: 7.500e-05, eta: 6:10:47, time: 0.188, data_time: 0.007, memory: 52540, decode.loss_ce: 0.2101, decode.acc_seg: 91.4738, loss: 0.2101 +2023-03-04 04:41:36,088 - mmseg - INFO - Iter [57900/160000] lr: 7.500e-05, eta: 6:10:34, time: 0.199, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1935, decode.acc_seg: 91.9768, loss: 0.1935 +2023-03-04 04:41:45,889 - mmseg - INFO - Iter [57950/160000] lr: 7.500e-05, eta: 6:10:21, time: 0.196, data_time: 0.007, memory: 52540, decode.loss_ce: 0.2018, decode.acc_seg: 91.7221, loss: 0.2018 +2023-03-04 04:41:55,491 - mmseg - INFO - Exp name: ablation_segformer_mit_b2_segformer_head_unet_fc_small_multi_step_ade_pretrained_freeze_embed_160k_ade20k151_finetune_ema_t50.py +2023-03-04 04:41:55,491 - mmseg - INFO - Iter [58000/160000] lr: 7.500e-05, eta: 6:10:08, time: 0.192, data_time: 0.008, memory: 52540, decode.loss_ce: 0.2015, decode.acc_seg: 91.6816, loss: 0.2015 +2023-03-04 04:42:05,227 - mmseg - INFO - Iter [58050/160000] lr: 7.500e-05, eta: 6:09:55, time: 0.195, data_time: 0.008, memory: 52540, decode.loss_ce: 0.1902, decode.acc_seg: 92.1929, loss: 0.1902 +2023-03-04 04:42:17,252 - mmseg - INFO - Iter [58100/160000] lr: 7.500e-05, eta: 6:09:46, time: 0.240, data_time: 0.053, memory: 52540, decode.loss_ce: 0.2049, decode.acc_seg: 91.6536, loss: 0.2049 +2023-03-04 04:42:26,803 - mmseg - INFO - Iter [58150/160000] lr: 7.500e-05, eta: 6:09:33, time: 0.191, data_time: 0.008, memory: 52540, decode.loss_ce: 0.2094, decode.acc_seg: 91.4955, loss: 0.2094 +2023-03-04 04:42:36,305 - mmseg - INFO - Iter [58200/160000] lr: 7.500e-05, eta: 6:09:20, time: 0.190, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1989, decode.acc_seg: 91.8625, loss: 0.1989 +2023-03-04 04:42:45,824 - mmseg - INFO - Iter [58250/160000] lr: 7.500e-05, eta: 6:09:07, time: 0.190, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1966, decode.acc_seg: 91.9431, loss: 0.1966 +2023-03-04 04:42:55,318 - mmseg - INFO - Iter [58300/160000] lr: 7.500e-05, eta: 6:08:53, time: 0.190, data_time: 0.007, memory: 52540, decode.loss_ce: 0.2001, decode.acc_seg: 91.7998, loss: 0.2001 +2023-03-04 04:43:04,885 - mmseg - INFO - Iter [58350/160000] lr: 7.500e-05, eta: 6:08:40, time: 0.191, data_time: 0.008, memory: 52540, decode.loss_ce: 0.2011, decode.acc_seg: 91.7330, loss: 0.2011 +2023-03-04 04:43:14,469 - mmseg - INFO - Iter [58400/160000] lr: 7.500e-05, eta: 6:08:27, time: 0.192, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1978, decode.acc_seg: 91.9492, loss: 0.1978 +2023-03-04 04:43:24,070 - mmseg - INFO - Iter [58450/160000] lr: 7.500e-05, eta: 6:08:14, time: 0.192, data_time: 0.007, memory: 52540, decode.loss_ce: 0.2000, decode.acc_seg: 91.8112, loss: 0.2000 +2023-03-04 04:43:33,927 - mmseg - INFO - Iter [58500/160000] lr: 7.500e-05, eta: 6:08:01, time: 0.197, data_time: 0.008, memory: 52540, decode.loss_ce: 0.1947, decode.acc_seg: 91.9647, loss: 0.1947 +2023-03-04 04:43:43,418 - mmseg - INFO - Iter [58550/160000] lr: 7.500e-05, eta: 6:07:48, time: 0.190, data_time: 0.008, memory: 52540, decode.loss_ce: 0.1976, decode.acc_seg: 91.9596, loss: 0.1976 +2023-03-04 04:43:53,232 - mmseg - INFO - Iter [58600/160000] lr: 7.500e-05, eta: 6:07:35, time: 0.196, data_time: 0.008, memory: 52540, decode.loss_ce: 0.1986, decode.acc_seg: 91.8814, loss: 0.1986 +2023-03-04 04:44:02,693 - mmseg - INFO - Iter [58650/160000] lr: 7.500e-05, eta: 6:07:22, time: 0.189, data_time: 0.008, memory: 52540, decode.loss_ce: 0.1991, decode.acc_seg: 91.7341, loss: 0.1991 +2023-03-04 04:44:14,828 - mmseg - INFO - Iter [58700/160000] lr: 7.500e-05, eta: 6:07:13, time: 0.243, data_time: 0.055, memory: 52540, decode.loss_ce: 0.1902, decode.acc_seg: 92.2031, loss: 0.1902 +2023-03-04 04:44:24,520 - mmseg - INFO - Iter [58750/160000] lr: 7.500e-05, eta: 6:07:00, time: 0.194, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1965, decode.acc_seg: 91.8960, loss: 0.1965 +2023-03-04 04:44:34,176 - mmseg - INFO - Iter [58800/160000] lr: 7.500e-05, eta: 6:06:47, time: 0.193, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1921, decode.acc_seg: 91.8960, loss: 0.1921 +2023-03-04 04:44:43,697 - mmseg - INFO - Iter [58850/160000] lr: 7.500e-05, eta: 6:06:34, time: 0.190, data_time: 0.008, memory: 52540, decode.loss_ce: 0.1929, decode.acc_seg: 92.0772, loss: 0.1929 +2023-03-04 04:44:53,203 - mmseg - INFO - Iter [58900/160000] lr: 7.500e-05, eta: 6:06:21, time: 0.190, data_time: 0.008, memory: 52540, decode.loss_ce: 0.1998, decode.acc_seg: 91.8091, loss: 0.1998 +2023-03-04 04:45:02,688 - mmseg - INFO - Iter [58950/160000] lr: 7.500e-05, eta: 6:06:08, time: 0.190, data_time: 0.008, memory: 52540, decode.loss_ce: 0.1996, decode.acc_seg: 91.7786, loss: 0.1996 +2023-03-04 04:45:12,416 - mmseg - INFO - Exp name: ablation_segformer_mit_b2_segformer_head_unet_fc_small_multi_step_ade_pretrained_freeze_embed_160k_ade20k151_finetune_ema_t50.py +2023-03-04 04:45:12,416 - mmseg - INFO - Iter [59000/160000] lr: 7.500e-05, eta: 6:05:55, time: 0.195, data_time: 0.008, memory: 52540, decode.loss_ce: 0.1933, decode.acc_seg: 92.0494, loss: 0.1933 +2023-03-04 04:45:22,039 - mmseg - INFO - Iter [59050/160000] lr: 7.500e-05, eta: 6:05:42, time: 0.192, data_time: 0.008, memory: 52540, decode.loss_ce: 0.1927, decode.acc_seg: 92.1132, loss: 0.1927 +2023-03-04 04:45:31,538 - mmseg - INFO - Iter [59100/160000] lr: 7.500e-05, eta: 6:05:29, time: 0.190, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1985, decode.acc_seg: 91.8511, loss: 0.1985 +2023-03-04 04:45:41,166 - mmseg - INFO - Iter [59150/160000] lr: 7.500e-05, eta: 6:05:16, time: 0.193, data_time: 0.007, memory: 52540, decode.loss_ce: 0.2011, decode.acc_seg: 91.9699, loss: 0.2011 +2023-03-04 04:45:50,983 - mmseg - INFO - Iter [59200/160000] lr: 7.500e-05, eta: 6:05:03, time: 0.196, data_time: 0.008, memory: 52540, decode.loss_ce: 0.1963, decode.acc_seg: 91.9348, loss: 0.1963 +2023-03-04 04:46:00,704 - mmseg - INFO - Iter [59250/160000] lr: 7.500e-05, eta: 6:04:50, time: 0.194, data_time: 0.008, memory: 52540, decode.loss_ce: 0.2029, decode.acc_seg: 91.7190, loss: 0.2029 +2023-03-04 04:46:10,296 - mmseg - INFO - Iter [59300/160000] lr: 7.500e-05, eta: 6:04:37, time: 0.192, data_time: 0.008, memory: 52540, decode.loss_ce: 0.1909, decode.acc_seg: 92.1406, loss: 0.1909 +2023-03-04 04:46:22,420 - mmseg - INFO - Iter [59350/160000] lr: 7.500e-05, eta: 6:04:28, time: 0.242, data_time: 0.055, memory: 52540, decode.loss_ce: 0.1976, decode.acc_seg: 91.9269, loss: 0.1976 +2023-03-04 04:46:31,826 - mmseg - INFO - Iter [59400/160000] lr: 7.500e-05, eta: 6:04:15, time: 0.188, data_time: 0.007, memory: 52540, decode.loss_ce: 0.2025, decode.acc_seg: 91.7957, loss: 0.2025 +2023-03-04 04:46:41,554 - mmseg - INFO - Iter [59450/160000] lr: 7.500e-05, eta: 6:04:02, time: 0.195, data_time: 0.008, memory: 52540, decode.loss_ce: 0.2010, decode.acc_seg: 91.7493, loss: 0.2010 +2023-03-04 04:46:51,265 - mmseg - INFO - Iter [59500/160000] lr: 7.500e-05, eta: 6:03:49, time: 0.194, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1834, decode.acc_seg: 92.3010, loss: 0.1834 +2023-03-04 04:47:00,956 - mmseg - INFO - Iter [59550/160000] lr: 7.500e-05, eta: 6:03:37, time: 0.194, data_time: 0.008, memory: 52540, decode.loss_ce: 0.1813, decode.acc_seg: 92.4516, loss: 0.1813 +2023-03-04 04:47:10,532 - mmseg - INFO - Iter [59600/160000] lr: 7.500e-05, eta: 6:03:24, time: 0.191, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1971, decode.acc_seg: 91.9189, loss: 0.1971 +2023-03-04 04:47:20,530 - mmseg - INFO - Iter [59650/160000] lr: 7.500e-05, eta: 6:03:11, time: 0.200, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1980, decode.acc_seg: 91.9480, loss: 0.1980 +2023-03-04 04:47:30,317 - mmseg - INFO - Iter [59700/160000] lr: 7.500e-05, eta: 6:02:59, time: 0.196, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1953, decode.acc_seg: 91.9010, loss: 0.1953 +2023-03-04 04:47:39,873 - mmseg - INFO - Iter [59750/160000] lr: 7.500e-05, eta: 6:02:46, time: 0.191, data_time: 0.007, memory: 52540, decode.loss_ce: 0.2076, decode.acc_seg: 91.4724, loss: 0.2076 +2023-03-04 04:47:49,292 - mmseg - INFO - Iter [59800/160000] lr: 7.500e-05, eta: 6:02:32, time: 0.188, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1935, decode.acc_seg: 92.0448, loss: 0.1935 +2023-03-04 04:47:58,883 - mmseg - INFO - Iter [59850/160000] lr: 7.500e-05, eta: 6:02:19, time: 0.192, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1973, decode.acc_seg: 91.9431, loss: 0.1973 +2023-03-04 04:48:08,857 - mmseg - INFO - Iter [59900/160000] lr: 7.500e-05, eta: 6:02:07, time: 0.199, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1836, decode.acc_seg: 92.3634, loss: 0.1836 +2023-03-04 04:48:20,788 - mmseg - INFO - Iter [59950/160000] lr: 7.500e-05, eta: 6:01:58, time: 0.239, data_time: 0.056, memory: 52540, decode.loss_ce: 0.1930, decode.acc_seg: 92.0707, loss: 0.1930 +2023-03-04 04:48:30,354 - mmseg - INFO - Exp name: ablation_segformer_mit_b2_segformer_head_unet_fc_small_multi_step_ade_pretrained_freeze_embed_160k_ade20k151_finetune_ema_t50.py +2023-03-04 04:48:30,354 - mmseg - INFO - Iter [60000/160000] lr: 7.500e-05, eta: 6:01:45, time: 0.191, data_time: 0.007, memory: 52540, decode.loss_ce: 0.2007, decode.acc_seg: 91.7744, loss: 0.2007 +2023-03-04 04:48:39,875 - mmseg - INFO - Iter [60050/160000] lr: 7.500e-05, eta: 6:01:32, time: 0.190, data_time: 0.008, memory: 52540, decode.loss_ce: 0.1894, decode.acc_seg: 92.2438, loss: 0.1894 +2023-03-04 04:48:49,397 - mmseg - INFO - Iter [60100/160000] lr: 7.500e-05, eta: 6:01:19, time: 0.190, data_time: 0.008, memory: 52540, decode.loss_ce: 0.1947, decode.acc_seg: 92.0238, loss: 0.1947 +2023-03-04 04:48:58,920 - mmseg - INFO - Iter [60150/160000] lr: 7.500e-05, eta: 6:01:06, time: 0.190, data_time: 0.008, memory: 52540, decode.loss_ce: 0.1981, decode.acc_seg: 91.8238, loss: 0.1981 +2023-03-04 04:49:08,734 - mmseg - INFO - Iter [60200/160000] lr: 7.500e-05, eta: 6:00:53, time: 0.196, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1965, decode.acc_seg: 91.9390, loss: 0.1965 +2023-03-04 04:49:18,542 - mmseg - INFO - Iter [60250/160000] lr: 7.500e-05, eta: 6:00:41, time: 0.196, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1974, decode.acc_seg: 91.9563, loss: 0.1974 +2023-03-04 04:49:28,433 - mmseg - INFO - Iter [60300/160000] lr: 7.500e-05, eta: 6:00:28, time: 0.198, data_time: 0.008, memory: 52540, decode.loss_ce: 0.1946, decode.acc_seg: 91.9353, loss: 0.1946 +2023-03-04 04:49:37,994 - mmseg - INFO - Iter [60350/160000] lr: 7.500e-05, eta: 6:00:15, time: 0.191, data_time: 0.008, memory: 52540, decode.loss_ce: 0.2033, decode.acc_seg: 91.6214, loss: 0.2033 +2023-03-04 04:49:47,457 - mmseg - INFO - Iter [60400/160000] lr: 7.500e-05, eta: 6:00:02, time: 0.189, data_time: 0.008, memory: 52540, decode.loss_ce: 0.2014, decode.acc_seg: 91.7892, loss: 0.2014 +2023-03-04 04:49:57,001 - mmseg - INFO - Iter [60450/160000] lr: 7.500e-05, eta: 5:59:49, time: 0.191, data_time: 0.008, memory: 52540, decode.loss_ce: 0.1944, decode.acc_seg: 92.1174, loss: 0.1944 +2023-03-04 04:50:06,390 - mmseg - INFO - Iter [60500/160000] lr: 7.500e-05, eta: 5:59:36, time: 0.188, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1973, decode.acc_seg: 91.8653, loss: 0.1973 +2023-03-04 04:50:16,068 - mmseg - INFO - Iter [60550/160000] lr: 7.500e-05, eta: 5:59:23, time: 0.194, data_time: 0.007, memory: 52540, decode.loss_ce: 0.2024, decode.acc_seg: 91.7010, loss: 0.2024 +2023-03-04 04:50:28,001 - mmseg - INFO - Iter [60600/160000] lr: 7.500e-05, eta: 5:59:14, time: 0.239, data_time: 0.057, memory: 52540, decode.loss_ce: 0.1891, decode.acc_seg: 92.2893, loss: 0.1891 +2023-03-04 04:50:37,402 - mmseg - INFO - Iter [60650/160000] lr: 7.500e-05, eta: 5:59:01, time: 0.188, data_time: 0.008, memory: 52540, decode.loss_ce: 0.1968, decode.acc_seg: 91.9867, loss: 0.1968 +2023-03-04 04:50:46,866 - mmseg - INFO - Iter [60700/160000] lr: 7.500e-05, eta: 5:58:48, time: 0.189, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1946, decode.acc_seg: 91.9468, loss: 0.1946 +2023-03-04 04:50:56,291 - mmseg - INFO - Iter [60750/160000] lr: 7.500e-05, eta: 5:58:35, time: 0.188, data_time: 0.008, memory: 52540, decode.loss_ce: 0.1949, decode.acc_seg: 91.9747, loss: 0.1949 +2023-03-04 04:51:05,710 - mmseg - INFO - Iter [60800/160000] lr: 7.500e-05, eta: 5:58:21, time: 0.188, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1881, decode.acc_seg: 92.1886, loss: 0.1881 +2023-03-04 04:51:15,167 - mmseg - INFO - Iter [60850/160000] lr: 7.500e-05, eta: 5:58:08, time: 0.189, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1996, decode.acc_seg: 91.9353, loss: 0.1996 +2023-03-04 04:51:24,720 - mmseg - INFO - Iter [60900/160000] lr: 7.500e-05, eta: 5:57:55, time: 0.191, data_time: 0.008, memory: 52540, decode.loss_ce: 0.1947, decode.acc_seg: 92.1101, loss: 0.1947 +2023-03-04 04:51:34,314 - mmseg - INFO - Iter [60950/160000] lr: 7.500e-05, eta: 5:57:43, time: 0.192, data_time: 0.008, memory: 52540, decode.loss_ce: 0.1977, decode.acc_seg: 91.8485, loss: 0.1977 +2023-03-04 04:51:43,778 - mmseg - INFO - Exp name: ablation_segformer_mit_b2_segformer_head_unet_fc_small_multi_step_ade_pretrained_freeze_embed_160k_ade20k151_finetune_ema_t50.py +2023-03-04 04:51:43,779 - mmseg - INFO - Iter [61000/160000] lr: 7.500e-05, eta: 5:57:30, time: 0.189, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1993, decode.acc_seg: 91.9640, loss: 0.1993 +2023-03-04 04:51:53,383 - mmseg - INFO - Iter [61050/160000] lr: 7.500e-05, eta: 5:57:17, time: 0.192, data_time: 0.008, memory: 52540, decode.loss_ce: 0.2000, decode.acc_seg: 91.7482, loss: 0.2000 +2023-03-04 04:52:02,917 - mmseg - INFO - Iter [61100/160000] lr: 7.500e-05, eta: 5:57:04, time: 0.191, data_time: 0.007, memory: 52540, decode.loss_ce: 0.2053, decode.acc_seg: 91.6304, loss: 0.2053 +2023-03-04 04:52:12,646 - mmseg - INFO - Iter [61150/160000] lr: 7.500e-05, eta: 5:56:51, time: 0.195, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1903, decode.acc_seg: 92.1858, loss: 0.1903 +2023-03-04 04:52:22,268 - mmseg - INFO - Iter [61200/160000] lr: 7.500e-05, eta: 5:56:38, time: 0.192, data_time: 0.007, memory: 52540, decode.loss_ce: 0.2082, decode.acc_seg: 91.5390, loss: 0.2082 +2023-03-04 04:52:34,383 - mmseg - INFO - Iter [61250/160000] lr: 7.500e-05, eta: 5:56:30, time: 0.242, data_time: 0.055, memory: 52540, decode.loss_ce: 0.1977, decode.acc_seg: 91.8429, loss: 0.1977 +2023-03-04 04:52:43,948 - mmseg - INFO - Iter [61300/160000] lr: 7.500e-05, eta: 5:56:17, time: 0.191, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1937, decode.acc_seg: 92.0479, loss: 0.1937 +2023-03-04 04:52:53,410 - mmseg - INFO - Iter [61350/160000] lr: 7.500e-05, eta: 5:56:04, time: 0.189, data_time: 0.008, memory: 52540, decode.loss_ce: 0.1903, decode.acc_seg: 92.2570, loss: 0.1903 +2023-03-04 04:53:03,147 - mmseg - INFO - Iter [61400/160000] lr: 7.500e-05, eta: 5:55:51, time: 0.195, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1966, decode.acc_seg: 91.9375, loss: 0.1966 +2023-03-04 04:53:12,875 - mmseg - INFO - Iter [61450/160000] lr: 7.500e-05, eta: 5:55:39, time: 0.194, data_time: 0.008, memory: 52540, decode.loss_ce: 0.1909, decode.acc_seg: 92.0454, loss: 0.1909 +2023-03-04 04:53:22,294 - mmseg - INFO - Iter [61500/160000] lr: 7.500e-05, eta: 5:55:25, time: 0.189, data_time: 0.008, memory: 52540, decode.loss_ce: 0.1908, decode.acc_seg: 92.2437, loss: 0.1908 +2023-03-04 04:53:31,753 - mmseg - INFO - Iter [61550/160000] lr: 7.500e-05, eta: 5:55:12, time: 0.189, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1976, decode.acc_seg: 92.0072, loss: 0.1976 +2023-03-04 04:53:41,308 - mmseg - INFO - Iter [61600/160000] lr: 7.500e-05, eta: 5:55:00, time: 0.191, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1959, decode.acc_seg: 91.9172, loss: 0.1959 +2023-03-04 04:53:50,829 - mmseg - INFO - Iter [61650/160000] lr: 7.500e-05, eta: 5:54:47, time: 0.190, data_time: 0.008, memory: 52540, decode.loss_ce: 0.1974, decode.acc_seg: 91.9735, loss: 0.1974 +2023-03-04 04:54:00,509 - mmseg - INFO - Iter [61700/160000] lr: 7.500e-05, eta: 5:54:34, time: 0.194, data_time: 0.008, memory: 52540, decode.loss_ce: 0.1961, decode.acc_seg: 92.0937, loss: 0.1961 +2023-03-04 04:54:09,996 - mmseg - INFO - Iter [61750/160000] lr: 7.500e-05, eta: 5:54:21, time: 0.190, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1999, decode.acc_seg: 91.7961, loss: 0.1999 +2023-03-04 04:54:19,420 - mmseg - INFO - Iter [61800/160000] lr: 7.500e-05, eta: 5:54:08, time: 0.188, data_time: 0.008, memory: 52540, decode.loss_ce: 0.2032, decode.acc_seg: 91.7684, loss: 0.2032 +2023-03-04 04:54:31,417 - mmseg - INFO - Iter [61850/160000] lr: 7.500e-05, eta: 5:53:59, time: 0.240, data_time: 0.057, memory: 52540, decode.loss_ce: 0.1954, decode.acc_seg: 91.9605, loss: 0.1954 +2023-03-04 04:54:40,877 - mmseg - INFO - Iter [61900/160000] lr: 7.500e-05, eta: 5:53:46, time: 0.189, data_time: 0.008, memory: 52540, decode.loss_ce: 0.1934, decode.acc_seg: 91.9871, loss: 0.1934 +2023-03-04 04:54:50,445 - mmseg - INFO - Iter [61950/160000] lr: 7.500e-05, eta: 5:53:33, time: 0.191, data_time: 0.008, memory: 52540, decode.loss_ce: 0.1965, decode.acc_seg: 91.9287, loss: 0.1965 +2023-03-04 04:55:00,025 - mmseg - INFO - Exp name: ablation_segformer_mit_b2_segformer_head_unet_fc_small_multi_step_ade_pretrained_freeze_embed_160k_ade20k151_finetune_ema_t50.py +2023-03-04 04:55:00,025 - mmseg - INFO - Iter [62000/160000] lr: 7.500e-05, eta: 5:53:21, time: 0.192, data_time: 0.008, memory: 52540, decode.loss_ce: 0.1937, decode.acc_seg: 91.9978, loss: 0.1937 +2023-03-04 04:55:09,681 - mmseg - INFO - Iter [62050/160000] lr: 7.500e-05, eta: 5:53:08, time: 0.193, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1936, decode.acc_seg: 92.0134, loss: 0.1936 +2023-03-04 04:55:19,116 - mmseg - INFO - Iter [62100/160000] lr: 7.500e-05, eta: 5:52:55, time: 0.189, data_time: 0.008, memory: 52540, decode.loss_ce: 0.2018, decode.acc_seg: 91.7931, loss: 0.2018 +2023-03-04 04:55:28,735 - mmseg - INFO - Iter [62150/160000] lr: 7.500e-05, eta: 5:52:42, time: 0.192, data_time: 0.008, memory: 52540, decode.loss_ce: 0.2025, decode.acc_seg: 91.6140, loss: 0.2025 +2023-03-04 04:55:38,727 - mmseg - INFO - Iter [62200/160000] lr: 7.500e-05, eta: 5:52:30, time: 0.200, data_time: 0.008, memory: 52540, decode.loss_ce: 0.2015, decode.acc_seg: 91.9097, loss: 0.2015 +2023-03-04 04:55:48,190 - mmseg - INFO - Iter [62250/160000] lr: 7.500e-05, eta: 5:52:17, time: 0.189, data_time: 0.008, memory: 52540, decode.loss_ce: 0.2052, decode.acc_seg: 91.7099, loss: 0.2052 +2023-03-04 04:55:57,596 - mmseg - INFO - Iter [62300/160000] lr: 7.500e-05, eta: 5:52:04, time: 0.188, data_time: 0.007, memory: 52540, decode.loss_ce: 0.2002, decode.acc_seg: 91.8473, loss: 0.2002 +2023-03-04 04:56:07,094 - mmseg - INFO - Iter [62350/160000] lr: 7.500e-05, eta: 5:51:51, time: 0.190, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1926, decode.acc_seg: 92.1396, loss: 0.1926 +2023-03-04 04:56:16,658 - mmseg - INFO - Iter [62400/160000] lr: 7.500e-05, eta: 5:51:39, time: 0.191, data_time: 0.008, memory: 52540, decode.loss_ce: 0.1939, decode.acc_seg: 91.9927, loss: 0.1939 +2023-03-04 04:56:26,511 - mmseg - INFO - Iter [62450/160000] lr: 7.500e-05, eta: 5:51:26, time: 0.197, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1906, decode.acc_seg: 92.0951, loss: 0.1906 +2023-03-04 04:56:38,639 - mmseg - INFO - Iter [62500/160000] lr: 7.500e-05, eta: 5:51:18, time: 0.243, data_time: 0.057, memory: 52540, decode.loss_ce: 0.1966, decode.acc_seg: 91.9153, loss: 0.1966 +2023-03-04 04:56:48,236 - mmseg - INFO - Iter [62550/160000] lr: 7.500e-05, eta: 5:51:05, time: 0.192, data_time: 0.007, memory: 52540, decode.loss_ce: 0.2004, decode.acc_seg: 91.7112, loss: 0.2004 +2023-03-04 04:56:58,007 - mmseg - INFO - Iter [62600/160000] lr: 7.500e-05, eta: 5:50:52, time: 0.195, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1976, decode.acc_seg: 91.9447, loss: 0.1976 +2023-03-04 04:57:07,667 - mmseg - INFO - Iter [62650/160000] lr: 7.500e-05, eta: 5:50:40, time: 0.193, data_time: 0.008, memory: 52540, decode.loss_ce: 0.1932, decode.acc_seg: 92.1205, loss: 0.1932 +2023-03-04 04:57:17,060 - mmseg - INFO - Iter [62700/160000] lr: 7.500e-05, eta: 5:50:27, time: 0.188, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1934, decode.acc_seg: 91.9903, loss: 0.1934 +2023-03-04 04:57:26,521 - mmseg - INFO - Iter [62750/160000] lr: 7.500e-05, eta: 5:50:14, time: 0.189, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1943, decode.acc_seg: 91.9979, loss: 0.1943 +2023-03-04 04:57:36,103 - mmseg - INFO - Iter [62800/160000] lr: 7.500e-05, eta: 5:50:01, time: 0.192, data_time: 0.008, memory: 52540, decode.loss_ce: 0.2029, decode.acc_seg: 91.7200, loss: 0.2029 +2023-03-04 04:57:45,594 - mmseg - INFO - Iter [62850/160000] lr: 7.500e-05, eta: 5:49:48, time: 0.190, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1936, decode.acc_seg: 92.0510, loss: 0.1936 +2023-03-04 04:57:55,056 - mmseg - INFO - Iter [62900/160000] lr: 7.500e-05, eta: 5:49:36, time: 0.189, data_time: 0.008, memory: 52540, decode.loss_ce: 0.1932, decode.acc_seg: 92.0819, loss: 0.1932 +2023-03-04 04:58:04,879 - mmseg - INFO - Iter [62950/160000] lr: 7.500e-05, eta: 5:49:23, time: 0.196, data_time: 0.007, memory: 52540, decode.loss_ce: 0.2004, decode.acc_seg: 91.7925, loss: 0.2004 +2023-03-04 04:58:14,994 - mmseg - INFO - Exp name: ablation_segformer_mit_b2_segformer_head_unet_fc_small_multi_step_ade_pretrained_freeze_embed_160k_ade20k151_finetune_ema_t50.py +2023-03-04 04:58:14,995 - mmseg - INFO - Iter [63000/160000] lr: 7.500e-05, eta: 5:49:11, time: 0.203, data_time: 0.008, memory: 52540, decode.loss_ce: 0.1977, decode.acc_seg: 91.9051, loss: 0.1977 +2023-03-04 04:58:24,462 - mmseg - INFO - Iter [63050/160000] lr: 7.500e-05, eta: 5:48:58, time: 0.189, data_time: 0.008, memory: 52540, decode.loss_ce: 0.1904, decode.acc_seg: 91.9709, loss: 0.1904 +2023-03-04 04:58:33,908 - mmseg - INFO - Iter [63100/160000] lr: 7.500e-05, eta: 5:48:46, time: 0.189, data_time: 0.008, memory: 52540, decode.loss_ce: 0.2029, decode.acc_seg: 91.5946, loss: 0.2029 +2023-03-04 04:58:46,366 - mmseg - INFO - Iter [63150/160000] lr: 7.500e-05, eta: 5:48:37, time: 0.249, data_time: 0.056, memory: 52540, decode.loss_ce: 0.1927, decode.acc_seg: 92.0985, loss: 0.1927 +2023-03-04 04:58:56,089 - mmseg - INFO - Iter [63200/160000] lr: 7.500e-05, eta: 5:48:25, time: 0.194, data_time: 0.008, memory: 52540, decode.loss_ce: 0.2027, decode.acc_seg: 91.7384, loss: 0.2027 +2023-03-04 04:59:05,786 - mmseg - INFO - Iter [63250/160000] lr: 7.500e-05, eta: 5:48:12, time: 0.194, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1893, decode.acc_seg: 92.2131, loss: 0.1893 +2023-03-04 04:59:15,480 - mmseg - INFO - Iter [63300/160000] lr: 7.500e-05, eta: 5:48:00, time: 0.194, data_time: 0.008, memory: 52540, decode.loss_ce: 0.1895, decode.acc_seg: 92.2304, loss: 0.1895 +2023-03-04 04:59:25,003 - mmseg - INFO - Iter [63350/160000] lr: 7.500e-05, eta: 5:47:47, time: 0.190, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1950, decode.acc_seg: 92.0450, loss: 0.1950 +2023-03-04 04:59:34,580 - mmseg - INFO - Iter [63400/160000] lr: 7.500e-05, eta: 5:47:35, time: 0.192, data_time: 0.008, memory: 52540, decode.loss_ce: 0.1897, decode.acc_seg: 92.2143, loss: 0.1897 +2023-03-04 04:59:43,961 - mmseg - INFO - Iter [63450/160000] lr: 7.500e-05, eta: 5:47:22, time: 0.188, data_time: 0.007, memory: 52540, decode.loss_ce: 0.2050, decode.acc_seg: 91.6964, loss: 0.2050 +2023-03-04 04:59:53,605 - mmseg - INFO - Iter [63500/160000] lr: 7.500e-05, eta: 5:47:09, time: 0.193, data_time: 0.008, memory: 52540, decode.loss_ce: 0.2044, decode.acc_seg: 91.6828, loss: 0.2044 +2023-03-04 05:00:03,099 - mmseg - INFO - Iter [63550/160000] lr: 7.500e-05, eta: 5:46:56, time: 0.190, data_time: 0.008, memory: 52540, decode.loss_ce: 0.1927, decode.acc_seg: 92.1028, loss: 0.1927 +2023-03-04 05:00:12,501 - mmseg - INFO - Iter [63600/160000] lr: 7.500e-05, eta: 5:46:43, time: 0.188, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1961, decode.acc_seg: 91.8315, loss: 0.1961 +2023-03-04 05:00:22,155 - mmseg - INFO - Iter [63650/160000] lr: 7.500e-05, eta: 5:46:31, time: 0.193, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1987, decode.acc_seg: 91.9268, loss: 0.1987 +2023-03-04 05:00:31,942 - mmseg - INFO - Iter [63700/160000] lr: 7.500e-05, eta: 5:46:19, time: 0.196, data_time: 0.008, memory: 52540, decode.loss_ce: 0.1941, decode.acc_seg: 91.8801, loss: 0.1941 +2023-03-04 05:00:43,846 - mmseg - INFO - Iter [63750/160000] lr: 7.500e-05, eta: 5:46:09, time: 0.238, data_time: 0.057, memory: 52540, decode.loss_ce: 0.1941, decode.acc_seg: 92.0122, loss: 0.1941 +2023-03-04 05:00:53,637 - mmseg - INFO - Iter [63800/160000] lr: 7.500e-05, eta: 5:45:57, time: 0.196, data_time: 0.008, memory: 52540, decode.loss_ce: 0.1921, decode.acc_seg: 92.0936, loss: 0.1921 +2023-03-04 05:01:03,363 - mmseg - INFO - Iter [63850/160000] lr: 7.500e-05, eta: 5:45:45, time: 0.195, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1976, decode.acc_seg: 91.8703, loss: 0.1976 +2023-03-04 05:01:13,043 - mmseg - INFO - Iter [63900/160000] lr: 7.500e-05, eta: 5:45:32, time: 0.194, data_time: 0.007, memory: 52540, decode.loss_ce: 0.2018, decode.acc_seg: 91.7890, loss: 0.2018 +2023-03-04 05:01:22,428 - mmseg - INFO - Iter [63950/160000] lr: 7.500e-05, eta: 5:45:19, time: 0.188, data_time: 0.008, memory: 52540, decode.loss_ce: 0.1940, decode.acc_seg: 92.0253, loss: 0.1940 +2023-03-04 05:01:31,877 - mmseg - INFO - Swap parameters (after train) after iter [64000] +2023-03-04 05:01:31,890 - mmseg - INFO - Saving checkpoint at 64000 iterations +2023-03-04 05:01:33,056 - mmseg - INFO - Exp name: ablation_segformer_mit_b2_segformer_head_unet_fc_small_multi_step_ade_pretrained_freeze_embed_160k_ade20k151_finetune_ema_t50.py +2023-03-04 05:01:33,056 - mmseg - INFO - Iter [64000/160000] lr: 7.500e-05, eta: 5:45:08, time: 0.213, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1960, decode.acc_seg: 91.9231, loss: 0.1960 +2023-03-04 05:07:28,157 - mmseg - INFO - per class results: +2023-03-04 05:07:28,166 - mmseg - INFO - ++---------------------+-------------------------------------------------------------------+ +| Class | IoU 0,5,10,15,20,25,30,35,40,45,49 | ++---------------------+-------------------------------------------------------------------+ +| background | nan,nan,nan,nan,nan,nan,nan,nan,nan,nan,nan | +| wall | 77.45,77.47,77.49,77.5,77.52,77.53,77.53,77.54,77.53,77.54,77.54 | +| building | 81.68,81.7,81.71,81.72,81.74,81.74,81.75,81.76,81.76,81.77,81.78 | +| sky | 94.46,94.47,94.47,94.48,94.48,94.48,94.48,94.48,94.48,94.48,94.48 | +| floor | 81.75,81.76,81.75,81.77,81.78,81.78,81.77,81.76,81.79,81.76,81.75 | +| tree | 74.35,74.35,74.36,74.37,74.34,74.35,74.34,74.35,74.34,74.32,74.32 | +| ceiling | 85.36,85.36,85.39,85.38,85.38,85.37,85.37,85.39,85.36,85.4,85.4 | +| road | 82.21,82.24,82.25,82.21,82.23,82.21,82.25,82.2,82.25,82.22,82.23 | +| bed | 87.69,87.67,87.71,87.69,87.65,87.76,87.7,87.83,87.71,87.82,87.82 | +| windowpane | 60.67,60.68,60.73,60.69,60.75,60.76,60.75,60.79,60.73,60.8,60.8 | +| grass | 67.12,67.13,67.15,67.18,67.19,67.17,67.18,67.17,67.16,67.15,67.13 | +| cabinet | 60.78,60.9,60.91,60.99,60.98,61.01,61.03,61.04,60.99,60.94,60.92 | +| sidewalk | 64.13,64.16,64.22,64.18,64.22,64.19,64.29,64.24,64.29,64.27,64.29 | +| person | 79.62,79.66,79.67,79.71,79.7,79.74,79.72,79.72,79.75,79.73,79.74 | +| earth | 35.89,35.87,35.9,35.9,35.95,35.85,35.85,35.81,35.81,35.73,35.7 | +| door | 45.77,45.82,45.87,45.94,45.94,45.97,46.04,45.97,46.11,45.96,45.98 | +| table | 60.9,61.0,60.99,61.03,61.09,61.09,61.15,61.15,61.14,61.16,61.14 | +| mountain | 56.93,56.97,57.0,57.06,57.14,57.3,57.26,57.36,57.37,57.35,57.36 | +| plant | 50.11,50.06,50.01,49.99,49.93,49.91,49.92,49.81,49.92,49.81,49.79 | +| curtain | 74.78,74.85,74.89,74.97,74.92,74.94,74.96,74.98,75.01,75.06,75.06 | +| chair | 56.25,56.27,56.29,56.28,56.28,56.29,56.31,56.28,56.28,56.28,56.28 | +| car | 81.55,81.58,81.59,81.66,81.67,81.72,81.75,81.77,81.82,81.78,81.78 | +| water | 57.51,57.5,57.51,57.49,57.52,57.52,57.53,57.53,57.54,57.54,57.53 | +| painting | 70.43,70.44,70.39,70.44,70.39,70.37,70.38,70.34,70.32,70.34,70.37 | +| sofa | 64.99,65.09,65.2,65.31,65.31,65.42,65.36,65.35,65.3,65.31,65.28 | +| shelf | 44.42,44.42,44.42,44.47,44.47,44.46,44.5,44.41,44.47,44.38,44.37 | +| house | 41.97,42.17,42.15,42.23,42.34,42.36,42.4,42.41,42.4,42.45,42.47 | +| sea | 60.76,60.78,60.78,60.75,60.79,60.77,60.78,60.75,60.76,60.75,60.74 | +| mirror | 66.17,66.26,66.22,66.28,66.47,66.38,66.58,66.43,66.63,66.46,66.48 | +| rug | 64.84,64.82,64.8,64.99,64.83,64.86,64.63,64.75,64.65,64.66,64.6 | +| field | 30.74,30.76,30.79,30.79,30.79,30.85,30.83,30.95,30.9,30.99,31.0 | +| armchair | 37.84,37.87,37.92,37.89,37.96,38.02,37.97,38.01,37.98,38.0,38.02 | +| seat | 65.78,65.81,65.86,65.89,65.95,65.97,65.89,66.0,66.01,66.03,66.0 | +| fence | 40.67,40.72,40.75,40.89,41.02,40.9,41.07,40.95,41.13,41.01,41.08 | +| desk | 46.32,46.38,46.45,46.46,46.5,46.49,46.64,46.47,46.5,46.29,46.27 | +| rock | 36.69,36.7,36.76,36.72,36.77,36.87,36.84,36.87,36.98,36.88,36.89 | +| wardrobe | 57.91,57.97,57.92,57.88,57.99,57.87,57.89,57.84,57.82,57.79,57.74 | +| lamp | 62.03,62.06,62.11,62.14,62.15,62.12,62.19,62.14,62.1,62.1,62.09 | +| bathtub | 75.99,76.06,76.03,75.97,76.06,75.8,75.88,75.7,75.44,75.53,75.45 | +| railing | 34.3,34.24,34.12,34.29,34.19,34.25,34.19,34.08,34.18,34.02,34.01 | +| cushion | 56.8,56.64,56.75,56.53,56.61,56.72,56.79,56.59,56.68,56.63,56.7 | +| base | 22.28,22.33,22.33,22.32,22.35,22.4,22.36,22.42,22.37,22.32,22.35 | +| box | 22.97,22.98,22.98,23.06,23.0,23.06,23.02,23.04,22.92,22.94,22.9 | +| column | 46.12,46.18,46.17,46.17,46.23,46.2,46.17,46.16,46.18,46.15,46.12 | +| signboard | 38.08,38.07,38.06,37.97,38.11,38.06,38.04,38.1,38.05,38.0,38.01 | +| chest of drawers | 36.2,36.24,36.4,36.47,36.61,36.62,36.52,36.88,36.63,36.87,36.89 | +| counter | 30.82,30.89,30.91,31.12,31.12,31.09,31.16,31.26,31.15,31.31,31.3 | +| sand | 42.54,42.61,42.66,42.73,42.77,42.93,43.06,43.09,43.12,43.16,43.2 | +| sink | 67.71,67.71,67.76,67.75,67.83,67.78,67.85,67.8,67.92,67.9,67.89 | +| skyscraper | 49.29,49.02,49.0,48.82,48.58,48.65,48.39,48.61,48.4,48.49,48.47 | +| fireplace | 76.28,76.35,76.42,76.4,76.52,76.47,76.54,76.56,76.61,76.64,76.67 | +| refrigerator | 74.78,75.06,75.41,75.46,75.51,75.66,75.76,75.61,75.82,75.6,75.59 | +| grandstand | 53.57,53.7,53.92,54.16,54.26,54.31,54.55,54.48,54.54,54.79,54.95 | +| path | 21.61,21.63,21.64,21.74,21.72,21.77,21.87,21.89,21.93,21.91,21.93 | +| stairs | 32.64,32.6,32.57,32.68,32.72,32.72,32.81,32.94,32.83,33.04,33.07 | +| runway | 67.91,67.93,67.94,67.94,67.95,67.94,67.95,67.98,67.97,67.96,67.94 | +| case | 47.2,47.31,47.51,47.63,47.74,47.8,47.82,47.83,47.87,47.95,48.0 | +| pool table | 91.92,92.01,91.98,92.03,92.04,92.07,92.06,92.09,92.14,92.16,92.18 | +| pillow | 60.48,59.95,60.27,60.06,60.19,60.35,60.18,60.26,60.29,60.34,60.3 | +| screen door | 67.62,67.82,68.03,68.16,68.17,68.16,68.31,68.19,68.04,68.27,68.41 | +| stairway | 24.45,24.54,24.47,24.54,24.61,24.68,24.52,24.54,24.45,24.42,24.41 | +| river | 12.15,12.15,12.14,12.13,12.11,12.13,12.13,12.09,12.12,12.1,12.1 | +| bridge | 31.01,31.19,31.13,31.27,31.36,31.4,31.54,31.73,31.62,32.08,32.2 | +| bookcase | 47.03,46.9,46.95,46.92,46.98,46.8,46.86,46.7,46.61,46.48,46.44 | +| blind | 38.86,38.8,38.76,38.73,38.75,38.62,38.65,38.69,38.48,38.66,38.71 | +| coffee table | 53.96,54.01,53.91,53.88,53.92,53.89,53.93,53.78,53.86,53.81,53.78 | +| toilet | 83.64,83.66,83.69,83.69,83.67,83.69,83.71,83.66,83.7,83.72,83.74 | +| flower | 38.93,38.94,39.0,38.95,39.01,39.03,39.02,38.95,38.99,38.97,38.96 | +| book | 44.51,44.53,44.51,44.51,44.43,44.52,44.44,44.55,44.44,44.52,44.59 | +| hill | 16.1,16.18,16.33,16.25,16.49,16.53,16.63,16.53,16.89,16.78,16.87 | +| bench | 41.93,41.85,41.77,41.67,41.58,41.51,41.56,41.43,41.48,41.29,41.27 | +| countertop | 54.9,54.76,54.93,54.86,54.76,54.89,54.87,54.99,54.98,55.05,55.11 | +| stove | 72.12,72.15,72.22,72.15,72.23,72.21,72.21,72.15,72.14,72.06,72.03 | +| palm | 47.86,47.84,47.88,47.87,47.83,47.84,47.82,47.8,47.8,47.74,47.71 | +| kitchen island | 44.65,44.93,44.82,44.84,44.69,44.66,44.67,44.51,44.57,44.5,44.48 | +| computer | 60.18,60.18,60.21,60.19,60.23,60.24,60.2,60.23,60.23,60.23,60.22 | +| swivel chair | 44.07,44.12,44.2,44.31,44.19,44.35,44.47,44.32,44.4,44.4,44.39 | +| boat | 72.59,72.74,72.93,73.07,73.09,73.26,73.32,73.32,73.43,73.5,73.57 | +| bar | 23.54,23.55,23.59,23.59,23.62,23.6,23.57,23.56,23.58,23.56,23.55 | +| arcade machine | 69.73,69.82,70.11,69.92,70.53,70.68,70.84,70.88,71.41,70.87,70.96 | +| hovel | 30.32,30.11,29.94,29.86,29.28,29.16,29.11,28.93,28.86,28.67,28.57 | +| bus | 78.79,78.79,78.79,78.71,78.7,78.6,78.51,78.55,78.48,78.4,78.34 | +| towel | 62.96,62.95,63.06,63.08,63.07,63.06,63.15,63.18,63.17,63.24,63.22 | +| light | 55.47,55.57,55.63,55.66,55.65,55.69,55.68,55.75,55.76,55.81,55.79 | +| truck | 18.94,19.08,19.08,19.04,18.98,19.09,19.13,19.15,19.2,19.12,19.22 | +| tower | 7.47,7.68,7.69,7.93,7.94,8.19,8.35,8.46,8.48,8.49,8.56 | +| chandelier | 64.32,64.27,64.34,64.28,64.32,64.42,64.35,64.41,64.33,64.37,64.34 | +| awning | 23.97,24.17,24.35,24.35,24.61,24.8,24.84,24.79,24.85,24.96,24.99 | +| streetlight | 26.88,26.94,26.97,27.01,27.07,27.21,27.18,27.28,27.27,27.3,27.34 | +| booth | 45.91,46.71,46.78,47.21,47.56,47.62,47.82,47.89,47.89,47.76,47.85 | +| television receiver | 64.07,64.01,64.1,64.13,64.15,64.12,64.11,64.02,64.19,64.09,63.99 | +| airplane | 59.02,58.98,58.94,58.97,58.77,58.76,58.58,58.48,58.5,58.46,58.43 | +| dirt track | 18.53,18.75,18.87,19.2,19.3,19.53,19.68,19.87,19.98,20.04,20.1 | +| apparel | 35.75,36.07,36.22,36.45,36.27,36.45,36.41,36.61,36.72,36.72,36.75 | +| pole | 19.09,19.25,19.11,18.99,18.81,18.84,18.8,18.63,18.6,18.52,18.41 | +| land | 3.68,3.66,3.68,3.66,3.63,3.61,3.68,3.57,3.67,3.63,3.67 | +| bannister | 12.49,12.6,12.45,12.67,12.76,12.74,12.71,12.85,12.84,12.87,12.86 | +| escalator | 24.51,24.53,24.5,24.7,24.66,24.68,24.73,24.63,24.68,24.67,24.7 | +| ottoman | 40.71,40.55,40.42,40.1,40.01,40.52,40.07,40.66,40.03,40.61,40.65 | +| bottle | 34.98,34.92,34.96,35.08,35.1,35.2,35.2,35.26,35.27,35.49,35.52 | +| buffet | 42.1,42.61,43.3,44.12,44.6,44.55,44.94,44.94,45.19,45.14,45.09 | +| poster | 23.23,23.24,23.06,23.27,23.27,23.28,23.2,23.18,23.18,23.23,23.18 | +| stage | 14.68,14.75,14.68,14.61,14.65,14.55,14.5,14.46,14.39,14.38,14.38 | +| van | 37.69,37.64,37.75,37.76,37.94,37.88,38.06,37.93,38.4,38.01,38.1 | +| ship | 81.89,81.98,82.14,82.38,82.43,82.64,82.76,82.75,82.85,82.9,82.92 | +| fountain | 18.47,18.67,18.78,18.94,19.01,19.17,19.3,19.3,19.42,19.52,19.6 | +| conveyer belt | 84.88,85.02,85.06,85.13,85.16,85.21,85.25,85.09,85.31,85.18,85.19 | +| canopy | 23.25,23.79,24.1,24.44,24.75,25.21,25.3,25.53,25.86,25.93,26.13 | +| washer | 75.69,75.95,75.87,75.93,76.03,76.21,76.2,76.15,76.39,76.41,76.5 | +| plaything | 21.34,21.29,21.26,21.22,21.32,21.26,21.27,21.28,21.17,21.24,21.2 | +| swimming pool | 75.41,75.49,75.61,75.59,75.63,75.81,75.83,75.87,76.01,75.97,76.0 | +| stool | 43.69,43.63,43.64,43.79,43.7,43.83,43.8,43.67,43.69,43.88,43.91 | +| barrel | 49.41,50.23,49.53,50.3,50.9,50.97,51.18,51.94,51.84,51.98,52.2 | +| basket | 24.4,24.44,24.4,24.49,24.56,24.54,24.47,24.59,24.59,24.6,24.64 | +| waterfall | 49.46,49.55,49.44,49.52,49.49,49.53,49.46,49.55,49.57,49.59,49.59 | +| tent | 94.77,94.82,94.98,94.94,94.97,94.96,95.03,95.0,95.03,95.01,95.01 | +| bag | 17.7,17.83,17.8,17.85,17.97,18.09,18.16,18.19,18.11,18.14,18.11 | +| minibike | 62.1,62.39,62.43,62.77,62.63,62.76,62.98,63.02,63.12,63.14,63.18 | +| cradle | 84.14,84.44,84.56,84.82,84.73,85.2,85.28,85.45,85.61,85.66,85.73 | +| oven | 50.78,50.95,50.74,50.68,50.53,50.62,50.74,50.74,50.81,50.87,50.91 | +| ball | 42.69,42.87,42.84,42.83,42.89,42.68,42.47,42.47,42.61,42.4,42.33 | +| food | 55.33,55.54,55.75,56.09,56.2,56.49,56.58,56.73,56.75,56.82,56.87 | +| step | 7.87,7.91,7.78,7.89,7.83,7.8,7.72,7.73,7.67,7.73,7.72 | +| tank | 51.94,51.88,51.91,51.75,51.64,51.62,51.54,51.58,51.62,51.58,51.61 | +| trade name | 28.41,28.5,28.5,28.36,28.5,28.42,28.63,28.44,28.5,28.45,28.45 | +| microwave | 76.67,76.99,77.0,76.98,77.01,77.14,77.27,77.36,77.32,77.35,77.36 | +| pot | 29.45,29.44,29.66,29.5,29.55,29.64,29.69,29.62,29.73,29.7,29.72 | +| animal | 55.2,55.33,55.23,55.27,55.25,55.29,55.37,55.33,55.36,55.35,55.34 | +| bicycle | 53.81,53.92,53.9,54.14,54.22,54.37,54.44,54.61,54.69,54.77,54.85 | +| lake | 57.5,57.5,57.5,57.54,57.58,57.58,57.69,57.68,57.73,57.75,57.78 | +| dishwasher | 65.83,65.58,65.58,65.43,65.21,65.21,65.3,64.99,65.42,64.91,64.93 | +| screen | 67.86,67.33,67.29,67.17,67.06,66.93,66.97,66.93,66.81,66.96,66.87 | +| blanket | 17.61,17.89,17.89,18.06,17.91,18.29,18.25,18.34,18.37,18.43,18.45 | +| sculpture | 58.39,58.55,58.47,58.21,58.19,58.16,57.89,57.82,57.65,57.53,57.4 | +| hood | 58.44,58.49,58.42,58.55,58.52,57.96,58.02,57.79,58.07,57.47,57.44 | +| sconce | 43.42,43.44,43.49,43.64,43.79,43.8,43.77,43.92,43.96,44.02,44.06 | +| vase | 37.61,37.6,37.76,37.65,37.77,37.8,37.88,37.81,37.82,37.81,37.85 | +| traffic light | 33.44,33.41,33.4,33.5,33.48,33.66,33.66,33.57,33.72,33.71,33.71 | +| tray | 7.14,7.16,7.09,7.06,7.07,7.03,7.03,7.01,6.93,6.91,6.9 | +| ashcan | 41.77,41.72,41.74,41.59,41.84,41.61,41.7,41.6,41.78,41.61,41.6 | +| fan | 58.06,57.93,58.12,57.94,57.91,58.07,58.0,57.95,57.99,58.14,58.1 | +| pier | 48.1,48.56,49.67,49.33,51.54,51.44,52.33,53.84,55.02,55.69,55.97 | +| crt screen | 10.7,10.7,10.67,10.69,10.65,10.72,10.69,10.74,10.71,10.7,10.71 | +| plate | 53.05,53.12,53.3,53.36,53.49,53.59,53.73,53.83,53.82,54.12,54.19 | +| monitor | 16.63,16.57,16.47,16.35,16.33,16.3,16.35,16.21,16.06,15.97,15.86 | +| bulletin board | 36.96,37.17,36.87,37.11,37.02,36.8,36.61,36.88,36.55,36.84,36.8 | +| shower | 0.8,0.81,0.94,0.96,1.01,1.03,0.98,1.12,1.06,1.11,1.08 | +| radiator | 61.19,61.41,61.93,62.36,62.76,62.93,63.05,63.17,63.39,63.39,63.54 | +| glass | 13.58,13.5,13.49,13.49,13.42,13.4,13.4,13.27,13.29,13.24,13.19 | +| clock | 35.55,35.34,35.49,35.63,35.59,35.36,35.52,35.53,35.55,35.48,35.51 | +| flag | 33.89,34.07,33.91,33.72,33.67,33.69,33.61,33.78,33.63,33.53,33.55 | ++---------------------+-------------------------------------------------------------------+ +2023-03-04 05:07:28,166 - mmseg - INFO - Summary: +2023-03-04 05:07:28,166 - mmseg - INFO - ++-------------------------------------------------------------------+ +| mIoU 0,5,10,15,20,25,30,35,40,45,49 | ++-------------------------------------------------------------------+ +| 48.73,48.79,48.83,48.87,48.91,48.94,48.97,48.99,49.02,49.02,49.03 | ++-------------------------------------------------------------------+ +2023-03-04 05:07:28,201 - mmseg - INFO - The previous best checkpoint /mnt/petrelfs/laizeqiang/mmseg-baseline/work_dirs2/ablation_segformer_mit_b2_segformer_head_unet_fc_small_multi_step_ade_pretrained_freeze_embed_160k_ade20k151_finetune_ema_t50/best_mIoU_iter_48000.pth was removed +2023-03-04 05:07:29,108 - mmseg - INFO - Now best checkpoint is saved as best_mIoU_iter_64000.pth. +2023-03-04 05:07:29,108 - mmseg - INFO - Best mIoU is 0.4903 at 64000 iter. +2023-03-04 05:07:29,108 - mmseg - INFO - Exp name: ablation_segformer_mit_b2_segformer_head_unet_fc_small_multi_step_ade_pretrained_freeze_embed_160k_ade20k151_finetune_ema_t50.py +2023-03-04 05:07:29,108 - mmseg - INFO - Iter(val) [250] mIoU: [0.4873, 0.4879, 0.4883, 0.4887, 0.4891, 0.4894, 0.4897, 0.4899, 0.4902, 0.4902, 0.4903], copy_paste: 48.73,48.79,48.83,48.87,48.91,48.94,48.97,48.99,49.02,49.02,49.03 +2023-03-04 05:07:29,115 - mmseg - INFO - Swap parameters (before train) before iter [64001] +2023-03-04 05:07:38,983 - mmseg - INFO - Iter [64050/160000] lr: 7.500e-05, eta: 5:53:50, time: 7.319, data_time: 7.129, memory: 52540, decode.loss_ce: 0.1979, decode.acc_seg: 91.9371, loss: 0.1979 +2023-03-04 05:07:48,769 - mmseg - INFO - Iter [64100/160000] lr: 7.500e-05, eta: 5:53:37, time: 0.196, data_time: 0.008, memory: 52540, decode.loss_ce: 0.1935, decode.acc_seg: 92.1151, loss: 0.1935 +2023-03-04 05:07:58,427 - mmseg - INFO - Iter [64150/160000] lr: 7.500e-05, eta: 5:53:24, time: 0.193, data_time: 0.008, memory: 52540, decode.loss_ce: 0.1946, decode.acc_seg: 92.0038, loss: 0.1946 +2023-03-04 05:08:08,140 - mmseg - INFO - Iter [64200/160000] lr: 7.500e-05, eta: 5:53:10, time: 0.194, data_time: 0.008, memory: 52540, decode.loss_ce: 0.1994, decode.acc_seg: 91.7649, loss: 0.1994 +2023-03-04 05:08:17,664 - mmseg - INFO - Iter [64250/160000] lr: 7.500e-05, eta: 5:52:57, time: 0.190, data_time: 0.008, memory: 52540, decode.loss_ce: 0.1976, decode.acc_seg: 91.8932, loss: 0.1976 +2023-03-04 05:08:27,281 - mmseg - INFO - Iter [64300/160000] lr: 7.500e-05, eta: 5:52:44, time: 0.192, data_time: 0.008, memory: 52540, decode.loss_ce: 0.1944, decode.acc_seg: 91.8313, loss: 0.1944 +2023-03-04 05:08:36,808 - mmseg - INFO - Iter [64350/160000] lr: 7.500e-05, eta: 5:52:31, time: 0.191, data_time: 0.008, memory: 52540, decode.loss_ce: 0.1967, decode.acc_seg: 91.9533, loss: 0.1967 +2023-03-04 05:08:48,942 - mmseg - INFO - Iter [64400/160000] lr: 7.500e-05, eta: 5:52:21, time: 0.243, data_time: 0.054, memory: 52540, decode.loss_ce: 0.1914, decode.acc_seg: 92.0741, loss: 0.1914 +2023-03-04 05:08:58,768 - mmseg - INFO - Iter [64450/160000] lr: 7.500e-05, eta: 5:52:08, time: 0.197, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1998, decode.acc_seg: 91.8506, loss: 0.1998 +2023-03-04 05:09:08,354 - mmseg - INFO - Iter [64500/160000] lr: 7.500e-05, eta: 5:51:55, time: 0.192, data_time: 0.008, memory: 52540, decode.loss_ce: 0.1901, decode.acc_seg: 92.1100, loss: 0.1901 +2023-03-04 05:09:17,785 - mmseg - INFO - Iter [64550/160000] lr: 7.500e-05, eta: 5:51:42, time: 0.189, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1960, decode.acc_seg: 91.9611, loss: 0.1960 +2023-03-04 05:09:27,278 - mmseg - INFO - Iter [64600/160000] lr: 7.500e-05, eta: 5:51:28, time: 0.190, data_time: 0.008, memory: 52540, decode.loss_ce: 0.2089, decode.acc_seg: 91.5610, loss: 0.2089 +2023-03-04 05:09:36,865 - mmseg - INFO - Iter [64650/160000] lr: 7.500e-05, eta: 5:51:15, time: 0.192, data_time: 0.008, memory: 52540, decode.loss_ce: 0.1950, decode.acc_seg: 92.0686, loss: 0.1950 +2023-03-04 05:09:46,401 - mmseg - INFO - Iter [64700/160000] lr: 7.500e-05, eta: 5:51:02, time: 0.191, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1933, decode.acc_seg: 92.0227, loss: 0.1933 +2023-03-04 05:09:55,955 - mmseg - INFO - Iter [64750/160000] lr: 7.500e-05, eta: 5:50:48, time: 0.191, data_time: 0.008, memory: 52540, decode.loss_ce: 0.1976, decode.acc_seg: 91.8606, loss: 0.1976 +2023-03-04 05:10:05,631 - mmseg - INFO - Iter [64800/160000] lr: 7.500e-05, eta: 5:50:35, time: 0.194, data_time: 0.008, memory: 52540, decode.loss_ce: 0.1930, decode.acc_seg: 92.0728, loss: 0.1930 +2023-03-04 05:10:15,390 - mmseg - INFO - Iter [64850/160000] lr: 7.500e-05, eta: 5:50:22, time: 0.195, data_time: 0.008, memory: 52540, decode.loss_ce: 0.1967, decode.acc_seg: 91.9447, loss: 0.1967 +2023-03-04 05:10:24,817 - mmseg - INFO - Iter [64900/160000] lr: 7.500e-05, eta: 5:50:09, time: 0.189, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1898, decode.acc_seg: 92.2758, loss: 0.1898 +2023-03-04 05:10:34,227 - mmseg - INFO - Iter [64950/160000] lr: 7.500e-05, eta: 5:49:56, time: 0.188, data_time: 0.008, memory: 52540, decode.loss_ce: 0.1984, decode.acc_seg: 91.8392, loss: 0.1984 +2023-03-04 05:10:46,330 - mmseg - INFO - Exp name: ablation_segformer_mit_b2_segformer_head_unet_fc_small_multi_step_ade_pretrained_freeze_embed_160k_ade20k151_finetune_ema_t50.py +2023-03-04 05:10:46,330 - mmseg - INFO - Iter [65000/160000] lr: 7.500e-05, eta: 5:49:46, time: 0.242, data_time: 0.056, memory: 52540, decode.loss_ce: 0.1952, decode.acc_seg: 92.0538, loss: 0.1952 +2023-03-04 05:10:55,924 - mmseg - INFO - Iter [65050/160000] lr: 7.500e-05, eta: 5:49:33, time: 0.192, data_time: 0.008, memory: 52540, decode.loss_ce: 0.2026, decode.acc_seg: 91.9293, loss: 0.2026 +2023-03-04 05:11:05,488 - mmseg - INFO - Iter [65100/160000] lr: 7.500e-05, eta: 5:49:20, time: 0.191, data_time: 0.008, memory: 52540, decode.loss_ce: 0.1885, decode.acc_seg: 92.2498, loss: 0.1885 +2023-03-04 05:11:15,033 - mmseg - INFO - Iter [65150/160000] lr: 7.500e-05, eta: 5:49:06, time: 0.191, data_time: 0.008, memory: 52540, decode.loss_ce: 0.1976, decode.acc_seg: 91.6936, loss: 0.1976 +2023-03-04 05:11:25,054 - mmseg - INFO - Iter [65200/160000] lr: 7.500e-05, eta: 5:48:54, time: 0.201, data_time: 0.007, memory: 52540, decode.loss_ce: 0.2038, decode.acc_seg: 91.8180, loss: 0.2038 +2023-03-04 05:11:34,512 - mmseg - INFO - Iter [65250/160000] lr: 7.500e-05, eta: 5:48:41, time: 0.189, data_time: 0.008, memory: 52540, decode.loss_ce: 0.1955, decode.acc_seg: 92.0283, loss: 0.1955 +2023-03-04 05:11:44,218 - mmseg - INFO - Iter [65300/160000] lr: 7.500e-05, eta: 5:48:28, time: 0.194, data_time: 0.008, memory: 52540, decode.loss_ce: 0.2037, decode.acc_seg: 91.7285, loss: 0.2037 +2023-03-04 05:11:54,090 - mmseg - INFO - Iter [65350/160000] lr: 7.500e-05, eta: 5:48:15, time: 0.197, data_time: 0.008, memory: 52540, decode.loss_ce: 0.2026, decode.acc_seg: 91.8071, loss: 0.2026 +2023-03-04 05:12:04,068 - mmseg - INFO - Iter [65400/160000] lr: 7.500e-05, eta: 5:48:02, time: 0.200, data_time: 0.008, memory: 52540, decode.loss_ce: 0.1978, decode.acc_seg: 91.9869, loss: 0.1978 +2023-03-04 05:12:13,940 - mmseg - INFO - Iter [65450/160000] lr: 7.500e-05, eta: 5:47:50, time: 0.197, data_time: 0.008, memory: 52540, decode.loss_ce: 0.1993, decode.acc_seg: 91.7065, loss: 0.1993 +2023-03-04 05:12:23,592 - mmseg - INFO - Iter [65500/160000] lr: 7.500e-05, eta: 5:47:37, time: 0.193, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1965, decode.acc_seg: 91.8696, loss: 0.1965 +2023-03-04 05:12:33,338 - mmseg - INFO - Iter [65550/160000] lr: 7.500e-05, eta: 5:47:24, time: 0.195, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1902, decode.acc_seg: 92.2143, loss: 0.1902 +2023-03-04 05:12:42,899 - mmseg - INFO - Iter [65600/160000] lr: 7.500e-05, eta: 5:47:11, time: 0.191, data_time: 0.008, memory: 52540, decode.loss_ce: 0.1982, decode.acc_seg: 91.9665, loss: 0.1982 +2023-03-04 05:12:54,910 - mmseg - INFO - Iter [65650/160000] lr: 7.500e-05, eta: 5:47:01, time: 0.240, data_time: 0.057, memory: 52540, decode.loss_ce: 0.2023, decode.acc_seg: 91.8067, loss: 0.2023 +2023-03-04 05:13:04,714 - mmseg - INFO - Iter [65700/160000] lr: 7.500e-05, eta: 5:46:48, time: 0.196, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1888, decode.acc_seg: 92.1316, loss: 0.1888 +2023-03-04 05:13:14,433 - mmseg - INFO - Iter [65750/160000] lr: 7.500e-05, eta: 5:46:35, time: 0.194, data_time: 0.008, memory: 52540, decode.loss_ce: 0.1975, decode.acc_seg: 91.9692, loss: 0.1975 +2023-03-04 05:13:24,110 - mmseg - INFO - Iter [65800/160000] lr: 7.500e-05, eta: 5:46:22, time: 0.194, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1915, decode.acc_seg: 92.2425, loss: 0.1915 +2023-03-04 05:13:33,661 - mmseg - INFO - Iter [65850/160000] lr: 7.500e-05, eta: 5:46:09, time: 0.191, data_time: 0.008, memory: 52540, decode.loss_ce: 0.2071, decode.acc_seg: 91.6271, loss: 0.2071 +2023-03-04 05:13:43,826 - mmseg - INFO - Iter [65900/160000] lr: 7.500e-05, eta: 5:45:57, time: 0.203, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1972, decode.acc_seg: 91.9657, loss: 0.1972 +2023-03-04 05:13:53,485 - mmseg - INFO - Iter [65950/160000] lr: 7.500e-05, eta: 5:45:44, time: 0.193, data_time: 0.008, memory: 52540, decode.loss_ce: 0.1978, decode.acc_seg: 91.9334, loss: 0.1978 +2023-03-04 05:14:03,021 - mmseg - INFO - Exp name: ablation_segformer_mit_b2_segformer_head_unet_fc_small_multi_step_ade_pretrained_freeze_embed_160k_ade20k151_finetune_ema_t50.py +2023-03-04 05:14:03,021 - mmseg - INFO - Iter [66000/160000] lr: 7.500e-05, eta: 5:45:31, time: 0.191, data_time: 0.008, memory: 52540, decode.loss_ce: 0.1903, decode.acc_seg: 92.2012, loss: 0.1903 +2023-03-04 05:14:12,609 - mmseg - INFO - Iter [66050/160000] lr: 7.500e-05, eta: 5:45:18, time: 0.192, data_time: 0.008, memory: 52540, decode.loss_ce: 0.2034, decode.acc_seg: 91.7519, loss: 0.2034 +2023-03-04 05:14:22,101 - mmseg - INFO - Iter [66100/160000] lr: 7.500e-05, eta: 5:45:04, time: 0.190, data_time: 0.007, memory: 52540, decode.loss_ce: 0.2052, decode.acc_seg: 91.6887, loss: 0.2052 +2023-03-04 05:14:31,925 - mmseg - INFO - Iter [66150/160000] lr: 7.500e-05, eta: 5:44:52, time: 0.196, data_time: 0.007, memory: 52540, decode.loss_ce: 0.2016, decode.acc_seg: 91.7770, loss: 0.2016 +2023-03-04 05:14:41,460 - mmseg - INFO - Iter [66200/160000] lr: 7.500e-05, eta: 5:44:38, time: 0.191, data_time: 0.007, memory: 52540, decode.loss_ce: 0.2036, decode.acc_seg: 91.6882, loss: 0.2036 +2023-03-04 05:14:51,114 - mmseg - INFO - Iter [66250/160000] lr: 7.500e-05, eta: 5:44:26, time: 0.193, data_time: 0.008, memory: 52540, decode.loss_ce: 0.1966, decode.acc_seg: 91.9410, loss: 0.1966 +2023-03-04 05:15:03,189 - mmseg - INFO - Iter [66300/160000] lr: 7.500e-05, eta: 5:44:16, time: 0.242, data_time: 0.059, memory: 52540, decode.loss_ce: 0.1911, decode.acc_seg: 92.2033, loss: 0.1911 +2023-03-04 05:15:12,687 - mmseg - INFO - Iter [66350/160000] lr: 7.500e-05, eta: 5:44:03, time: 0.190, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1938, decode.acc_seg: 92.0754, loss: 0.1938 +2023-03-04 05:15:22,302 - mmseg - INFO - Iter [66400/160000] lr: 7.500e-05, eta: 5:43:50, time: 0.192, data_time: 0.008, memory: 52540, decode.loss_ce: 0.1969, decode.acc_seg: 91.8016, loss: 0.1969 +2023-03-04 05:15:32,100 - mmseg - INFO - Iter [66450/160000] lr: 7.500e-05, eta: 5:43:37, time: 0.196, data_time: 0.008, memory: 52540, decode.loss_ce: 0.1992, decode.acc_seg: 91.9029, loss: 0.1992 +2023-03-04 05:15:41,549 - mmseg - INFO - Iter [66500/160000] lr: 7.500e-05, eta: 5:43:24, time: 0.189, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1962, decode.acc_seg: 91.8916, loss: 0.1962 +2023-03-04 05:15:51,345 - mmseg - INFO - Iter [66550/160000] lr: 7.500e-05, eta: 5:43:11, time: 0.196, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1911, decode.acc_seg: 92.1554, loss: 0.1911 +2023-03-04 05:16:01,201 - mmseg - INFO - Iter [66600/160000] lr: 7.500e-05, eta: 5:42:58, time: 0.197, data_time: 0.008, memory: 52540, decode.loss_ce: 0.1956, decode.acc_seg: 92.0357, loss: 0.1956 +2023-03-04 05:16:10,683 - mmseg - INFO - Iter [66650/160000] lr: 7.500e-05, eta: 5:42:45, time: 0.190, data_time: 0.008, memory: 52540, decode.loss_ce: 0.1929, decode.acc_seg: 92.0231, loss: 0.1929 +2023-03-04 05:16:20,313 - mmseg - INFO - Iter [66700/160000] lr: 7.500e-05, eta: 5:42:32, time: 0.193, data_time: 0.008, memory: 52540, decode.loss_ce: 0.1937, decode.acc_seg: 92.0987, loss: 0.1937 +2023-03-04 05:16:29,817 - mmseg - INFO - Iter [66750/160000] lr: 7.500e-05, eta: 5:42:19, time: 0.190, data_time: 0.008, memory: 52540, decode.loss_ce: 0.1923, decode.acc_seg: 92.0245, loss: 0.1923 +2023-03-04 05:16:39,332 - mmseg - INFO - Iter [66800/160000] lr: 7.500e-05, eta: 5:42:06, time: 0.190, data_time: 0.008, memory: 52540, decode.loss_ce: 0.2003, decode.acc_seg: 91.9673, loss: 0.2003 +2023-03-04 05:16:48,742 - mmseg - INFO - Iter [66850/160000] lr: 7.500e-05, eta: 5:41:53, time: 0.188, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1906, decode.acc_seg: 92.0293, loss: 0.1906 +2023-03-04 05:17:00,857 - mmseg - INFO - Iter [66900/160000] lr: 7.500e-05, eta: 5:41:43, time: 0.242, data_time: 0.053, memory: 52540, decode.loss_ce: 0.1971, decode.acc_seg: 92.0129, loss: 0.1971 +2023-03-04 05:17:10,414 - mmseg - INFO - Iter [66950/160000] lr: 7.500e-05, eta: 5:41:30, time: 0.191, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1953, decode.acc_seg: 91.9169, loss: 0.1953 +2023-03-04 05:17:20,109 - mmseg - INFO - Exp name: ablation_segformer_mit_b2_segformer_head_unet_fc_small_multi_step_ade_pretrained_freeze_embed_160k_ade20k151_finetune_ema_t50.py +2023-03-04 05:17:20,109 - mmseg - INFO - Iter [67000/160000] lr: 7.500e-05, eta: 5:41:18, time: 0.194, data_time: 0.007, memory: 52540, decode.loss_ce: 0.2000, decode.acc_seg: 91.8814, loss: 0.2000 +2023-03-04 05:17:29,937 - mmseg - INFO - Iter [67050/160000] lr: 7.500e-05, eta: 5:41:05, time: 0.197, data_time: 0.008, memory: 52540, decode.loss_ce: 0.1949, decode.acc_seg: 91.9658, loss: 0.1949 +2023-03-04 05:17:39,331 - mmseg - INFO - Iter [67100/160000] lr: 7.500e-05, eta: 5:40:52, time: 0.188, data_time: 0.008, memory: 52540, decode.loss_ce: 0.1940, decode.acc_seg: 92.0230, loss: 0.1940 +2023-03-04 05:17:48,765 - mmseg - INFO - Iter [67150/160000] lr: 7.500e-05, eta: 5:40:38, time: 0.189, data_time: 0.008, memory: 52540, decode.loss_ce: 0.2018, decode.acc_seg: 91.7315, loss: 0.2018 +2023-03-04 05:17:58,382 - mmseg - INFO - Iter [67200/160000] lr: 7.500e-05, eta: 5:40:26, time: 0.192, data_time: 0.008, memory: 52540, decode.loss_ce: 0.1950, decode.acc_seg: 92.0678, loss: 0.1950 +2023-03-04 05:18:07,837 - mmseg - INFO - Iter [67250/160000] lr: 7.500e-05, eta: 5:40:12, time: 0.189, data_time: 0.008, memory: 52540, decode.loss_ce: 0.1985, decode.acc_seg: 91.9553, loss: 0.1985 +2023-03-04 05:18:17,445 - mmseg - INFO - Iter [67300/160000] lr: 7.500e-05, eta: 5:39:59, time: 0.192, data_time: 0.007, memory: 52540, decode.loss_ce: 0.2014, decode.acc_seg: 91.8579, loss: 0.2014 +2023-03-04 05:18:26,943 - mmseg - INFO - Iter [67350/160000] lr: 7.500e-05, eta: 5:39:46, time: 0.190, data_time: 0.008, memory: 52540, decode.loss_ce: 0.1851, decode.acc_seg: 92.3000, loss: 0.1851 +2023-03-04 05:18:36,455 - mmseg - INFO - Iter [67400/160000] lr: 7.500e-05, eta: 5:39:33, time: 0.190, data_time: 0.008, memory: 52540, decode.loss_ce: 0.1999, decode.acc_seg: 91.9853, loss: 0.1999 +2023-03-04 05:18:45,980 - mmseg - INFO - Iter [67450/160000] lr: 7.500e-05, eta: 5:39:20, time: 0.190, data_time: 0.007, memory: 52540, decode.loss_ce: 0.2007, decode.acc_seg: 91.6699, loss: 0.2007 +2023-03-04 05:18:55,580 - mmseg - INFO - Iter [67500/160000] lr: 7.500e-05, eta: 5:39:07, time: 0.192, data_time: 0.008, memory: 52540, decode.loss_ce: 0.1911, decode.acc_seg: 92.0453, loss: 0.1911 +2023-03-04 05:19:07,583 - mmseg - INFO - Iter [67550/160000] lr: 7.500e-05, eta: 5:38:58, time: 0.240, data_time: 0.056, memory: 52540, decode.loss_ce: 0.2009, decode.acc_seg: 91.9420, loss: 0.2009 +2023-03-04 05:19:17,015 - mmseg - INFO - Iter [67600/160000] lr: 7.500e-05, eta: 5:38:45, time: 0.189, data_time: 0.008, memory: 52540, decode.loss_ce: 0.1833, decode.acc_seg: 92.5009, loss: 0.1833 +2023-03-04 05:19:26,562 - mmseg - INFO - Iter [67650/160000] lr: 7.500e-05, eta: 5:38:32, time: 0.191, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1967, decode.acc_seg: 91.9739, loss: 0.1967 +2023-03-04 05:19:36,057 - mmseg - INFO - Iter [67700/160000] lr: 7.500e-05, eta: 5:38:19, time: 0.190, data_time: 0.008, memory: 52540, decode.loss_ce: 0.1940, decode.acc_seg: 92.0335, loss: 0.1940 +2023-03-04 05:19:45,617 - mmseg - INFO - Iter [67750/160000] lr: 7.500e-05, eta: 5:38:06, time: 0.191, data_time: 0.008, memory: 52540, decode.loss_ce: 0.1967, decode.acc_seg: 91.9238, loss: 0.1967 +2023-03-04 05:19:55,157 - mmseg - INFO - Iter [67800/160000] lr: 7.500e-05, eta: 5:37:53, time: 0.191, data_time: 0.008, memory: 52540, decode.loss_ce: 0.1978, decode.acc_seg: 91.8745, loss: 0.1978 +2023-03-04 05:20:04,653 - mmseg - INFO - Iter [67850/160000] lr: 7.500e-05, eta: 5:37:40, time: 0.190, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1938, decode.acc_seg: 92.1382, loss: 0.1938 +2023-03-04 05:20:14,299 - mmseg - INFO - Iter [67900/160000] lr: 7.500e-05, eta: 5:37:27, time: 0.193, data_time: 0.008, memory: 52540, decode.loss_ce: 0.2015, decode.acc_seg: 91.8990, loss: 0.2015 +2023-03-04 05:20:24,178 - mmseg - INFO - Iter [67950/160000] lr: 7.500e-05, eta: 5:37:14, time: 0.198, data_time: 0.008, memory: 52540, decode.loss_ce: 0.1937, decode.acc_seg: 92.1178, loss: 0.1937 +2023-03-04 05:20:33,839 - mmseg - INFO - Exp name: ablation_segformer_mit_b2_segformer_head_unet_fc_small_multi_step_ade_pretrained_freeze_embed_160k_ade20k151_finetune_ema_t50.py +2023-03-04 05:20:33,839 - mmseg - INFO - Iter [68000/160000] lr: 7.500e-05, eta: 5:37:02, time: 0.193, data_time: 0.008, memory: 52540, decode.loss_ce: 0.1914, decode.acc_seg: 92.2740, loss: 0.1914 +2023-03-04 05:20:43,347 - mmseg - INFO - Iter [68050/160000] lr: 7.500e-05, eta: 5:36:48, time: 0.190, data_time: 0.008, memory: 52540, decode.loss_ce: 0.1963, decode.acc_seg: 91.8424, loss: 0.1963 +2023-03-04 05:20:53,280 - mmseg - INFO - Iter [68100/160000] lr: 7.500e-05, eta: 5:36:36, time: 0.199, data_time: 0.008, memory: 52540, decode.loss_ce: 0.1995, decode.acc_seg: 91.9510, loss: 0.1995 +2023-03-04 05:21:05,397 - mmseg - INFO - Iter [68150/160000] lr: 7.500e-05, eta: 5:36:27, time: 0.242, data_time: 0.057, memory: 52540, decode.loss_ce: 0.2018, decode.acc_seg: 91.6995, loss: 0.2018 +2023-03-04 05:21:14,991 - mmseg - INFO - Iter [68200/160000] lr: 7.500e-05, eta: 5:36:14, time: 0.192, data_time: 0.008, memory: 52540, decode.loss_ce: 0.1916, decode.acc_seg: 92.1463, loss: 0.1916 +2023-03-04 05:21:24,863 - mmseg - INFO - Iter [68250/160000] lr: 7.500e-05, eta: 5:36:01, time: 0.197, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1949, decode.acc_seg: 92.0647, loss: 0.1949 +2023-03-04 05:21:34,453 - mmseg - INFO - Iter [68300/160000] lr: 7.500e-05, eta: 5:35:48, time: 0.192, data_time: 0.008, memory: 52540, decode.loss_ce: 0.1890, decode.acc_seg: 92.3257, loss: 0.1890 +2023-03-04 05:21:44,039 - mmseg - INFO - Iter [68350/160000] lr: 7.500e-05, eta: 5:35:36, time: 0.192, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1921, decode.acc_seg: 92.1110, loss: 0.1921 +2023-03-04 05:21:53,477 - mmseg - INFO - Iter [68400/160000] lr: 7.500e-05, eta: 5:35:22, time: 0.189, data_time: 0.008, memory: 52540, decode.loss_ce: 0.1901, decode.acc_seg: 92.1412, loss: 0.1901 +2023-03-04 05:22:03,395 - mmseg - INFO - Iter [68450/160000] lr: 7.500e-05, eta: 5:35:10, time: 0.198, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1967, decode.acc_seg: 91.9329, loss: 0.1967 +2023-03-04 05:22:13,310 - mmseg - INFO - Iter [68500/160000] lr: 7.500e-05, eta: 5:34:58, time: 0.198, data_time: 0.008, memory: 52540, decode.loss_ce: 0.2038, decode.acc_seg: 91.6543, loss: 0.2038 +2023-03-04 05:22:22,761 - mmseg - INFO - Iter [68550/160000] lr: 7.500e-05, eta: 5:34:45, time: 0.189, data_time: 0.008, memory: 52540, decode.loss_ce: 0.1959, decode.acc_seg: 91.9796, loss: 0.1959 +2023-03-04 05:22:32,180 - mmseg - INFO - Iter [68600/160000] lr: 7.500e-05, eta: 5:34:32, time: 0.188, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1932, decode.acc_seg: 92.0919, loss: 0.1932 +2023-03-04 05:22:41,749 - mmseg - INFO - Iter [68650/160000] lr: 7.500e-05, eta: 5:34:19, time: 0.191, data_time: 0.008, memory: 52540, decode.loss_ce: 0.1956, decode.acc_seg: 91.9478, loss: 0.1956 +2023-03-04 05:22:51,241 - mmseg - INFO - Iter [68700/160000] lr: 7.500e-05, eta: 5:34:06, time: 0.190, data_time: 0.008, memory: 52540, decode.loss_ce: 0.1973, decode.acc_seg: 91.9044, loss: 0.1973 +2023-03-04 05:23:00,797 - mmseg - INFO - Iter [68750/160000] lr: 7.500e-05, eta: 5:33:53, time: 0.191, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1989, decode.acc_seg: 91.9706, loss: 0.1989 +2023-03-04 05:23:12,858 - mmseg - INFO - Iter [68800/160000] lr: 7.500e-05, eta: 5:33:43, time: 0.241, data_time: 0.054, memory: 52540, decode.loss_ce: 0.1977, decode.acc_seg: 92.0104, loss: 0.1977 +2023-03-04 05:23:22,819 - mmseg - INFO - Iter [68850/160000] lr: 7.500e-05, eta: 5:33:31, time: 0.199, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1996, decode.acc_seg: 91.8486, loss: 0.1996 +2023-03-04 05:23:32,327 - mmseg - INFO - Iter [68900/160000] lr: 7.500e-05, eta: 5:33:18, time: 0.190, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1962, decode.acc_seg: 92.0402, loss: 0.1962 +2023-03-04 05:23:41,993 - mmseg - INFO - Iter [68950/160000] lr: 7.500e-05, eta: 5:33:05, time: 0.193, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1956, decode.acc_seg: 92.0994, loss: 0.1956 +2023-03-04 05:23:51,560 - mmseg - INFO - Exp name: ablation_segformer_mit_b2_segformer_head_unet_fc_small_multi_step_ade_pretrained_freeze_embed_160k_ade20k151_finetune_ema_t50.py +2023-03-04 05:23:51,560 - mmseg - INFO - Iter [69000/160000] lr: 7.500e-05, eta: 5:32:53, time: 0.191, data_time: 0.008, memory: 52540, decode.loss_ce: 0.1866, decode.acc_seg: 92.2266, loss: 0.1866 +2023-03-04 05:24:01,193 - mmseg - INFO - Iter [69050/160000] lr: 7.500e-05, eta: 5:32:40, time: 0.193, data_time: 0.008, memory: 52540, decode.loss_ce: 0.1953, decode.acc_seg: 92.0842, loss: 0.1953 +2023-03-04 05:24:10,759 - mmseg - INFO - Iter [69100/160000] lr: 7.500e-05, eta: 5:32:27, time: 0.191, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1964, decode.acc_seg: 92.0501, loss: 0.1964 +2023-03-04 05:24:20,202 - mmseg - INFO - Iter [69150/160000] lr: 7.500e-05, eta: 5:32:14, time: 0.189, data_time: 0.008, memory: 52540, decode.loss_ce: 0.1925, decode.acc_seg: 92.1491, loss: 0.1925 +2023-03-04 05:24:29,746 - mmseg - INFO - Iter [69200/160000] lr: 7.500e-05, eta: 5:32:01, time: 0.191, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1982, decode.acc_seg: 91.8783, loss: 0.1982 +2023-03-04 05:24:39,495 - mmseg - INFO - Iter [69250/160000] lr: 7.500e-05, eta: 5:31:49, time: 0.195, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1917, decode.acc_seg: 92.0287, loss: 0.1917 +2023-03-04 05:24:49,290 - mmseg - INFO - Iter [69300/160000] lr: 7.500e-05, eta: 5:31:36, time: 0.196, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1949, decode.acc_seg: 92.0413, loss: 0.1949 +2023-03-04 05:24:58,819 - mmseg - INFO - Iter [69350/160000] lr: 7.500e-05, eta: 5:31:23, time: 0.191, data_time: 0.008, memory: 52540, decode.loss_ce: 0.1889, decode.acc_seg: 92.2430, loss: 0.1889 +2023-03-04 05:25:08,249 - mmseg - INFO - Iter [69400/160000] lr: 7.500e-05, eta: 5:31:10, time: 0.189, data_time: 0.008, memory: 52540, decode.loss_ce: 0.2014, decode.acc_seg: 91.9071, loss: 0.2014 +2023-03-04 05:25:20,187 - mmseg - INFO - Iter [69450/160000] lr: 7.500e-05, eta: 5:31:01, time: 0.239, data_time: 0.055, memory: 52540, decode.loss_ce: 0.1893, decode.acc_seg: 92.1698, loss: 0.1893 +2023-03-04 05:25:29,683 - mmseg - INFO - Iter [69500/160000] lr: 7.500e-05, eta: 5:30:48, time: 0.190, data_time: 0.008, memory: 52540, decode.loss_ce: 0.1876, decode.acc_seg: 92.1987, loss: 0.1876 +2023-03-04 05:25:39,263 - mmseg - INFO - Iter [69550/160000] lr: 7.500e-05, eta: 5:30:35, time: 0.192, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1867, decode.acc_seg: 92.1877, loss: 0.1867 +2023-03-04 05:25:49,221 - mmseg - INFO - Iter [69600/160000] lr: 7.500e-05, eta: 5:30:23, time: 0.199, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1958, decode.acc_seg: 92.0241, loss: 0.1958 +2023-03-04 05:25:58,621 - mmseg - INFO - Iter [69650/160000] lr: 7.500e-05, eta: 5:30:10, time: 0.188, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1974, decode.acc_seg: 91.9321, loss: 0.1974 +2023-03-04 05:26:08,045 - mmseg - INFO - Iter [69700/160000] lr: 7.500e-05, eta: 5:29:57, time: 0.188, data_time: 0.008, memory: 52540, decode.loss_ce: 0.2008, decode.acc_seg: 91.6531, loss: 0.2008 +2023-03-04 05:26:17,520 - mmseg - INFO - Iter [69750/160000] lr: 7.500e-05, eta: 5:29:44, time: 0.189, data_time: 0.008, memory: 52540, decode.loss_ce: 0.1960, decode.acc_seg: 92.0142, loss: 0.1960 +2023-03-04 05:26:27,060 - mmseg - INFO - Iter [69800/160000] lr: 7.500e-05, eta: 5:29:31, time: 0.191, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1861, decode.acc_seg: 92.2861, loss: 0.1861 +2023-03-04 05:26:36,631 - mmseg - INFO - Iter [69850/160000] lr: 7.500e-05, eta: 5:29:18, time: 0.192, data_time: 0.008, memory: 52540, decode.loss_ce: 0.1928, decode.acc_seg: 92.0738, loss: 0.1928 +2023-03-04 05:26:46,230 - mmseg - INFO - Iter [69900/160000] lr: 7.500e-05, eta: 5:29:06, time: 0.192, data_time: 0.008, memory: 52540, decode.loss_ce: 0.1941, decode.acc_seg: 92.1125, loss: 0.1941 +2023-03-04 05:26:55,661 - mmseg - INFO - Iter [69950/160000] lr: 7.500e-05, eta: 5:28:53, time: 0.189, data_time: 0.008, memory: 52540, decode.loss_ce: 0.1996, decode.acc_seg: 91.7855, loss: 0.1996 +2023-03-04 05:27:05,150 - mmseg - INFO - Exp name: ablation_segformer_mit_b2_segformer_head_unet_fc_small_multi_step_ade_pretrained_freeze_embed_160k_ade20k151_finetune_ema_t50.py +2023-03-04 05:27:05,150 - mmseg - INFO - Iter [70000/160000] lr: 7.500e-05, eta: 5:28:40, time: 0.190, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1938, decode.acc_seg: 92.0942, loss: 0.1938 +2023-03-04 05:27:17,487 - mmseg - INFO - Iter [70050/160000] lr: 7.500e-05, eta: 5:28:31, time: 0.247, data_time: 0.057, memory: 52540, decode.loss_ce: 0.2015, decode.acc_seg: 91.9267, loss: 0.2015 +2023-03-04 05:27:27,354 - mmseg - INFO - Iter [70100/160000] lr: 7.500e-05, eta: 5:28:18, time: 0.198, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1976, decode.acc_seg: 91.9865, loss: 0.1976 +2023-03-04 05:27:36,979 - mmseg - INFO - Iter [70150/160000] lr: 7.500e-05, eta: 5:28:06, time: 0.193, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1901, decode.acc_seg: 92.2570, loss: 0.1901 +2023-03-04 05:27:46,585 - mmseg - INFO - Iter [70200/160000] lr: 7.500e-05, eta: 5:27:53, time: 0.192, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1825, decode.acc_seg: 92.2837, loss: 0.1825 +2023-03-04 05:27:55,990 - mmseg - INFO - Iter [70250/160000] lr: 7.500e-05, eta: 5:27:40, time: 0.188, data_time: 0.008, memory: 52540, decode.loss_ce: 0.1916, decode.acc_seg: 91.9883, loss: 0.1916 +2023-03-04 05:28:05,554 - mmseg - INFO - Iter [70300/160000] lr: 7.500e-05, eta: 5:27:27, time: 0.191, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1940, decode.acc_seg: 92.0492, loss: 0.1940 +2023-03-04 05:28:14,993 - mmseg - INFO - Iter [70350/160000] lr: 7.500e-05, eta: 5:27:14, time: 0.189, data_time: 0.008, memory: 52540, decode.loss_ce: 0.2021, decode.acc_seg: 91.8252, loss: 0.2021 +2023-03-04 05:28:24,420 - mmseg - INFO - Iter [70400/160000] lr: 7.500e-05, eta: 5:27:01, time: 0.189, data_time: 0.008, memory: 52540, decode.loss_ce: 0.1934, decode.acc_seg: 92.0152, loss: 0.1934 +2023-03-04 05:28:34,450 - mmseg - INFO - Iter [70450/160000] lr: 7.500e-05, eta: 5:26:49, time: 0.201, data_time: 0.008, memory: 52540, decode.loss_ce: 0.1882, decode.acc_seg: 92.0691, loss: 0.1882 +2023-03-04 05:28:43,951 - mmseg - INFO - Iter [70500/160000] lr: 7.500e-05, eta: 5:26:37, time: 0.190, data_time: 0.008, memory: 52540, decode.loss_ce: 0.1966, decode.acc_seg: 91.8893, loss: 0.1966 +2023-03-04 05:28:53,488 - mmseg - INFO - Iter [70550/160000] lr: 7.500e-05, eta: 5:26:24, time: 0.191, data_time: 0.008, memory: 52540, decode.loss_ce: 0.1937, decode.acc_seg: 91.9555, loss: 0.1937 +2023-03-04 05:29:03,107 - mmseg - INFO - Iter [70600/160000] lr: 7.500e-05, eta: 5:26:11, time: 0.192, data_time: 0.008, memory: 52540, decode.loss_ce: 0.1946, decode.acc_seg: 92.0638, loss: 0.1946 +2023-03-04 05:29:13,114 - mmseg - INFO - Iter [70650/160000] lr: 7.500e-05, eta: 5:25:59, time: 0.200, data_time: 0.008, memory: 52540, decode.loss_ce: 0.2016, decode.acc_seg: 91.6676, loss: 0.2016 +2023-03-04 05:29:25,053 - mmseg - INFO - Iter [70700/160000] lr: 7.500e-05, eta: 5:25:49, time: 0.239, data_time: 0.056, memory: 52540, decode.loss_ce: 0.1953, decode.acc_seg: 92.0049, loss: 0.1953 +2023-03-04 05:29:34,454 - mmseg - INFO - Iter [70750/160000] lr: 7.500e-05, eta: 5:25:36, time: 0.188, data_time: 0.008, memory: 52540, decode.loss_ce: 0.2039, decode.acc_seg: 91.8849, loss: 0.2039 +2023-03-04 05:29:44,064 - mmseg - INFO - Iter [70800/160000] lr: 7.500e-05, eta: 5:25:24, time: 0.192, data_time: 0.008, memory: 52540, decode.loss_ce: 0.1892, decode.acc_seg: 92.1922, loss: 0.1892 +2023-03-04 05:29:53,599 - mmseg - INFO - Iter [70850/160000] lr: 7.500e-05, eta: 5:25:11, time: 0.191, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1927, decode.acc_seg: 92.1496, loss: 0.1927 +2023-03-04 05:30:03,229 - mmseg - INFO - Iter [70900/160000] lr: 7.500e-05, eta: 5:24:59, time: 0.193, data_time: 0.007, memory: 52540, decode.loss_ce: 0.2038, decode.acc_seg: 91.8474, loss: 0.2038 +2023-03-04 05:30:12,701 - mmseg - INFO - Iter [70950/160000] lr: 7.500e-05, eta: 5:24:46, time: 0.189, data_time: 0.008, memory: 52540, decode.loss_ce: 0.1965, decode.acc_seg: 91.9176, loss: 0.1965 +2023-03-04 05:30:22,344 - mmseg - INFO - Exp name: ablation_segformer_mit_b2_segformer_head_unet_fc_small_multi_step_ade_pretrained_freeze_embed_160k_ade20k151_finetune_ema_t50.py +2023-03-04 05:30:22,344 - mmseg - INFO - Iter [71000/160000] lr: 7.500e-05, eta: 5:24:33, time: 0.193, data_time: 0.008, memory: 52540, decode.loss_ce: 0.1956, decode.acc_seg: 91.9785, loss: 0.1956 +2023-03-04 05:30:31,898 - mmseg - INFO - Iter [71050/160000] lr: 7.500e-05, eta: 5:24:21, time: 0.191, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1954, decode.acc_seg: 92.0018, loss: 0.1954 +2023-03-04 05:30:41,915 - mmseg - INFO - Iter [71100/160000] lr: 7.500e-05, eta: 5:24:08, time: 0.200, data_time: 0.008, memory: 52540, decode.loss_ce: 0.2019, decode.acc_seg: 91.7514, loss: 0.2019 +2023-03-04 05:30:51,794 - mmseg - INFO - Iter [71150/160000] lr: 7.500e-05, eta: 5:23:56, time: 0.198, data_time: 0.008, memory: 52540, decode.loss_ce: 0.1971, decode.acc_seg: 91.9285, loss: 0.1971 +2023-03-04 05:31:01,342 - mmseg - INFO - Iter [71200/160000] lr: 7.500e-05, eta: 5:23:43, time: 0.191, data_time: 0.007, memory: 52540, decode.loss_ce: 0.2030, decode.acc_seg: 91.6104, loss: 0.2030 +2023-03-04 05:31:10,911 - mmseg - INFO - Iter [71250/160000] lr: 7.500e-05, eta: 5:23:31, time: 0.191, data_time: 0.008, memory: 52540, decode.loss_ce: 0.2028, decode.acc_seg: 91.7191, loss: 0.2028 +2023-03-04 05:31:20,520 - mmseg - INFO - Iter [71300/160000] lr: 7.500e-05, eta: 5:23:18, time: 0.192, data_time: 0.008, memory: 52540, decode.loss_ce: 0.2009, decode.acc_seg: 91.8596, loss: 0.2009 +2023-03-04 05:31:32,524 - mmseg - INFO - Iter [71350/160000] lr: 7.500e-05, eta: 5:23:09, time: 0.240, data_time: 0.055, memory: 52540, decode.loss_ce: 0.1995, decode.acc_seg: 91.8607, loss: 0.1995 +2023-03-04 05:31:42,593 - mmseg - INFO - Iter [71400/160000] lr: 7.500e-05, eta: 5:22:57, time: 0.201, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1910, decode.acc_seg: 92.1664, loss: 0.1910 +2023-03-04 05:31:52,693 - mmseg - INFO - Iter [71450/160000] lr: 7.500e-05, eta: 5:22:45, time: 0.202, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1884, decode.acc_seg: 92.2916, loss: 0.1884 +2023-03-04 05:32:02,269 - mmseg - INFO - Iter [71500/160000] lr: 7.500e-05, eta: 5:22:32, time: 0.192, data_time: 0.008, memory: 52540, decode.loss_ce: 0.1959, decode.acc_seg: 91.9495, loss: 0.1959 +2023-03-04 05:32:12,154 - mmseg - INFO - Iter [71550/160000] lr: 7.500e-05, eta: 5:22:20, time: 0.198, data_time: 0.008, memory: 52540, decode.loss_ce: 0.2039, decode.acc_seg: 91.8592, loss: 0.2039 +2023-03-04 05:32:21,918 - mmseg - INFO - Iter [71600/160000] lr: 7.500e-05, eta: 5:22:07, time: 0.195, data_time: 0.008, memory: 52540, decode.loss_ce: 0.1941, decode.acc_seg: 92.1092, loss: 0.1941 +2023-03-04 05:32:31,352 - mmseg - INFO - Iter [71650/160000] lr: 7.500e-05, eta: 5:21:55, time: 0.189, data_time: 0.008, memory: 52540, decode.loss_ce: 0.1926, decode.acc_seg: 92.0870, loss: 0.1926 +2023-03-04 05:32:41,053 - mmseg - INFO - Iter [71700/160000] lr: 7.500e-05, eta: 5:21:42, time: 0.194, data_time: 0.008, memory: 52540, decode.loss_ce: 0.1967, decode.acc_seg: 92.0113, loss: 0.1967 +2023-03-04 05:32:50,526 - mmseg - INFO - Iter [71750/160000] lr: 7.500e-05, eta: 5:21:29, time: 0.190, data_time: 0.008, memory: 52540, decode.loss_ce: 0.1956, decode.acc_seg: 92.0132, loss: 0.1956 +2023-03-04 05:32:59,977 - mmseg - INFO - Iter [71800/160000] lr: 7.500e-05, eta: 5:21:17, time: 0.189, data_time: 0.008, memory: 52540, decode.loss_ce: 0.1904, decode.acc_seg: 92.2737, loss: 0.1904 +2023-03-04 05:33:09,899 - mmseg - INFO - Iter [71850/160000] lr: 7.500e-05, eta: 5:21:05, time: 0.198, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1957, decode.acc_seg: 91.9350, loss: 0.1957 +2023-03-04 05:33:19,366 - mmseg - INFO - Iter [71900/160000] lr: 7.500e-05, eta: 5:20:52, time: 0.189, data_time: 0.008, memory: 52540, decode.loss_ce: 0.1977, decode.acc_seg: 92.0280, loss: 0.1977 +2023-03-04 05:33:31,468 - mmseg - INFO - Iter [71950/160000] lr: 7.500e-05, eta: 5:20:42, time: 0.242, data_time: 0.057, memory: 52540, decode.loss_ce: 0.1992, decode.acc_seg: 91.9583, loss: 0.1992 +2023-03-04 05:33:41,012 - mmseg - INFO - Exp name: ablation_segformer_mit_b2_segformer_head_unet_fc_small_multi_step_ade_pretrained_freeze_embed_160k_ade20k151_finetune_ema_t50.py +2023-03-04 05:33:41,012 - mmseg - INFO - Iter [72000/160000] lr: 7.500e-05, eta: 5:20:30, time: 0.191, data_time: 0.008, memory: 52540, decode.loss_ce: 0.2039, decode.acc_seg: 91.5829, loss: 0.2039 +2023-03-04 05:33:50,543 - mmseg - INFO - Iter [72050/160000] lr: 7.500e-05, eta: 5:20:17, time: 0.191, data_time: 0.008, memory: 52540, decode.loss_ce: 0.1886, decode.acc_seg: 92.1859, loss: 0.1886 +2023-03-04 05:34:00,311 - mmseg - INFO - Iter [72100/160000] lr: 7.500e-05, eta: 5:20:05, time: 0.195, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1995, decode.acc_seg: 91.6951, loss: 0.1995 +2023-03-04 05:34:09,765 - mmseg - INFO - Iter [72150/160000] lr: 7.500e-05, eta: 5:19:52, time: 0.189, data_time: 0.008, memory: 52540, decode.loss_ce: 0.1997, decode.acc_seg: 91.8126, loss: 0.1997 +2023-03-04 05:34:19,233 - mmseg - INFO - Iter [72200/160000] lr: 7.500e-05, eta: 5:19:39, time: 0.189, data_time: 0.008, memory: 52540, decode.loss_ce: 0.1851, decode.acc_seg: 92.3586, loss: 0.1851 +2023-03-04 05:34:28,767 - mmseg - INFO - Iter [72250/160000] lr: 7.500e-05, eta: 5:19:27, time: 0.191, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1945, decode.acc_seg: 92.1018, loss: 0.1945 +2023-03-04 05:34:38,275 - mmseg - INFO - Iter [72300/160000] lr: 7.500e-05, eta: 5:19:14, time: 0.190, data_time: 0.008, memory: 52540, decode.loss_ce: 0.2024, decode.acc_seg: 91.5588, loss: 0.2024 +2023-03-04 05:34:47,693 - mmseg - INFO - Iter [72350/160000] lr: 7.500e-05, eta: 5:19:01, time: 0.188, data_time: 0.008, memory: 52540, decode.loss_ce: 0.1975, decode.acc_seg: 91.8973, loss: 0.1975 +2023-03-04 05:34:57,180 - mmseg - INFO - Iter [72400/160000] lr: 7.500e-05, eta: 5:18:49, time: 0.190, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1959, decode.acc_seg: 91.9804, loss: 0.1959 +2023-03-04 05:35:06,657 - mmseg - INFO - Iter [72450/160000] lr: 7.500e-05, eta: 5:18:36, time: 0.190, data_time: 0.008, memory: 52540, decode.loss_ce: 0.1972, decode.acc_seg: 91.9942, loss: 0.1972 +2023-03-04 05:35:16,359 - mmseg - INFO - Iter [72500/160000] lr: 7.500e-05, eta: 5:18:24, time: 0.194, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1863, decode.acc_seg: 92.2860, loss: 0.1863 +2023-03-04 05:35:26,056 - mmseg - INFO - Iter [72550/160000] lr: 7.500e-05, eta: 5:18:11, time: 0.194, data_time: 0.008, memory: 52540, decode.loss_ce: 0.1991, decode.acc_seg: 91.9196, loss: 0.1991 +2023-03-04 05:35:38,351 - mmseg - INFO - Iter [72600/160000] lr: 7.500e-05, eta: 5:18:02, time: 0.246, data_time: 0.056, memory: 52540, decode.loss_ce: 0.1897, decode.acc_seg: 92.1821, loss: 0.1897 +2023-03-04 05:35:47,956 - mmseg - INFO - Iter [72650/160000] lr: 7.500e-05, eta: 5:17:50, time: 0.192, data_time: 0.008, memory: 52540, decode.loss_ce: 0.1902, decode.acc_seg: 92.2767, loss: 0.1902 +2023-03-04 05:35:57,447 - mmseg - INFO - Iter [72700/160000] lr: 7.500e-05, eta: 5:17:37, time: 0.190, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1890, decode.acc_seg: 92.1948, loss: 0.1890 +2023-03-04 05:36:06,864 - mmseg - INFO - Iter [72750/160000] lr: 7.500e-05, eta: 5:17:24, time: 0.188, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1922, decode.acc_seg: 92.2043, loss: 0.1922 +2023-03-04 05:36:16,551 - mmseg - INFO - Iter [72800/160000] lr: 7.500e-05, eta: 5:17:12, time: 0.194, data_time: 0.008, memory: 52540, decode.loss_ce: 0.1951, decode.acc_seg: 91.9102, loss: 0.1951 +2023-03-04 05:36:26,285 - mmseg - INFO - Iter [72850/160000] lr: 7.500e-05, eta: 5:17:00, time: 0.195, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1900, decode.acc_seg: 92.2696, loss: 0.1900 +2023-03-04 05:36:35,905 - mmseg - INFO - Iter [72900/160000] lr: 7.500e-05, eta: 5:16:47, time: 0.192, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1984, decode.acc_seg: 91.9039, loss: 0.1984 +2023-03-04 05:36:45,859 - mmseg - INFO - Iter [72950/160000] lr: 7.500e-05, eta: 5:16:35, time: 0.199, data_time: 0.007, memory: 52540, decode.loss_ce: 0.2041, decode.acc_seg: 91.7391, loss: 0.2041 +2023-03-04 05:36:55,487 - mmseg - INFO - Exp name: ablation_segformer_mit_b2_segformer_head_unet_fc_small_multi_step_ade_pretrained_freeze_embed_160k_ade20k151_finetune_ema_t50.py +2023-03-04 05:36:55,487 - mmseg - INFO - Iter [73000/160000] lr: 7.500e-05, eta: 5:16:23, time: 0.192, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1969, decode.acc_seg: 91.9166, loss: 0.1969 +2023-03-04 05:37:05,212 - mmseg - INFO - Iter [73050/160000] lr: 7.500e-05, eta: 5:16:10, time: 0.194, data_time: 0.007, memory: 52540, decode.loss_ce: 0.2057, decode.acc_seg: 91.6932, loss: 0.2057 +2023-03-04 05:37:14,873 - mmseg - INFO - Iter [73100/160000] lr: 7.500e-05, eta: 5:15:58, time: 0.193, data_time: 0.008, memory: 52540, decode.loss_ce: 0.1918, decode.acc_seg: 92.0168, loss: 0.1918 +2023-03-04 05:37:24,441 - mmseg - INFO - Iter [73150/160000] lr: 7.500e-05, eta: 5:15:45, time: 0.191, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1916, decode.acc_seg: 92.1077, loss: 0.1916 +2023-03-04 05:37:36,395 - mmseg - INFO - Iter [73200/160000] lr: 7.500e-05, eta: 5:15:36, time: 0.239, data_time: 0.055, memory: 52540, decode.loss_ce: 0.1949, decode.acc_seg: 91.9881, loss: 0.1949 +2023-03-04 05:37:45,984 - mmseg - INFO - Iter [73250/160000] lr: 7.500e-05, eta: 5:15:23, time: 0.192, data_time: 0.008, memory: 52540, decode.loss_ce: 0.1903, decode.acc_seg: 92.1384, loss: 0.1903 +2023-03-04 05:37:55,512 - mmseg - INFO - Iter [73300/160000] lr: 7.500e-05, eta: 5:15:11, time: 0.191, data_time: 0.008, memory: 52540, decode.loss_ce: 0.1959, decode.acc_seg: 91.9768, loss: 0.1959 +2023-03-04 05:38:05,151 - mmseg - INFO - Iter [73350/160000] lr: 7.500e-05, eta: 5:14:58, time: 0.193, data_time: 0.008, memory: 52540, decode.loss_ce: 0.1930, decode.acc_seg: 92.0691, loss: 0.1930 +2023-03-04 05:38:14,914 - mmseg - INFO - Iter [73400/160000] lr: 7.500e-05, eta: 5:14:46, time: 0.195, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1966, decode.acc_seg: 91.8906, loss: 0.1966 +2023-03-04 05:38:24,708 - mmseg - INFO - Iter [73450/160000] lr: 7.500e-05, eta: 5:14:34, time: 0.196, data_time: 0.008, memory: 52540, decode.loss_ce: 0.1908, decode.acc_seg: 92.1337, loss: 0.1908 +2023-03-04 05:38:34,873 - mmseg - INFO - Iter [73500/160000] lr: 7.500e-05, eta: 5:14:22, time: 0.203, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1925, decode.acc_seg: 92.2214, loss: 0.1925 +2023-03-04 05:38:44,914 - mmseg - INFO - Iter [73550/160000] lr: 7.500e-05, eta: 5:14:10, time: 0.201, data_time: 0.008, memory: 52540, decode.loss_ce: 0.2101, decode.acc_seg: 91.7200, loss: 0.2101 +2023-03-04 05:38:54,476 - mmseg - INFO - Iter [73600/160000] lr: 7.500e-05, eta: 5:13:58, time: 0.191, data_time: 0.008, memory: 52540, decode.loss_ce: 0.1916, decode.acc_seg: 92.2075, loss: 0.1916 +2023-03-04 05:39:03,959 - mmseg - INFO - Iter [73650/160000] lr: 7.500e-05, eta: 5:13:45, time: 0.190, data_time: 0.008, memory: 52540, decode.loss_ce: 0.1890, decode.acc_seg: 92.3177, loss: 0.1890 +2023-03-04 05:39:13,779 - mmseg - INFO - Iter [73700/160000] lr: 7.500e-05, eta: 5:13:33, time: 0.196, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1943, decode.acc_seg: 91.9363, loss: 0.1943 +2023-03-04 05:39:23,267 - mmseg - INFO - Iter [73750/160000] lr: 7.500e-05, eta: 5:13:20, time: 0.190, data_time: 0.007, memory: 52540, decode.loss_ce: 0.2019, decode.acc_seg: 91.8751, loss: 0.2019 +2023-03-04 05:39:32,755 - mmseg - INFO - Iter [73800/160000] lr: 7.500e-05, eta: 5:13:08, time: 0.190, data_time: 0.008, memory: 52540, decode.loss_ce: 0.2086, decode.acc_seg: 91.5962, loss: 0.2086 +2023-03-04 05:39:44,803 - mmseg - INFO - Iter [73850/160000] lr: 7.500e-05, eta: 5:12:58, time: 0.241, data_time: 0.057, memory: 52540, decode.loss_ce: 0.1943, decode.acc_seg: 91.9864, loss: 0.1943 +2023-03-04 05:39:54,481 - mmseg - INFO - Iter [73900/160000] lr: 7.500e-05, eta: 5:12:46, time: 0.194, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1944, decode.acc_seg: 92.0133, loss: 0.1944 +2023-03-04 05:40:03,908 - mmseg - INFO - Iter [73950/160000] lr: 7.500e-05, eta: 5:12:33, time: 0.189, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1955, decode.acc_seg: 91.9929, loss: 0.1955 +2023-03-04 05:40:14,113 - mmseg - INFO - Exp name: ablation_segformer_mit_b2_segformer_head_unet_fc_small_multi_step_ade_pretrained_freeze_embed_160k_ade20k151_finetune_ema_t50.py +2023-03-04 05:40:14,113 - mmseg - INFO - Iter [74000/160000] lr: 7.500e-05, eta: 5:12:22, time: 0.204, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1954, decode.acc_seg: 91.8525, loss: 0.1954 +2023-03-04 05:40:23,639 - mmseg - INFO - Iter [74050/160000] lr: 7.500e-05, eta: 5:12:09, time: 0.191, data_time: 0.008, memory: 52540, decode.loss_ce: 0.1952, decode.acc_seg: 92.0499, loss: 0.1952 +2023-03-04 05:40:33,192 - mmseg - INFO - Iter [74100/160000] lr: 7.500e-05, eta: 5:11:57, time: 0.191, data_time: 0.008, memory: 52540, decode.loss_ce: 0.1882, decode.acc_seg: 92.2908, loss: 0.1882 +2023-03-04 05:40:43,225 - mmseg - INFO - Iter [74150/160000] lr: 7.500e-05, eta: 5:11:45, time: 0.201, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1892, decode.acc_seg: 92.1109, loss: 0.1892 +2023-03-04 05:40:52,943 - mmseg - INFO - Iter [74200/160000] lr: 7.500e-05, eta: 5:11:33, time: 0.194, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1946, decode.acc_seg: 92.1457, loss: 0.1946 +2023-03-04 05:41:02,357 - mmseg - INFO - Iter [74250/160000] lr: 7.500e-05, eta: 5:11:20, time: 0.188, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1971, decode.acc_seg: 91.9639, loss: 0.1971 +2023-03-04 05:41:11,803 - mmseg - INFO - Iter [74300/160000] lr: 7.500e-05, eta: 5:11:07, time: 0.189, data_time: 0.008, memory: 52540, decode.loss_ce: 0.1944, decode.acc_seg: 91.9895, loss: 0.1944 +2023-03-04 05:41:21,342 - mmseg - INFO - Iter [74350/160000] lr: 7.500e-05, eta: 5:10:55, time: 0.191, data_time: 0.008, memory: 52540, decode.loss_ce: 0.1911, decode.acc_seg: 92.0852, loss: 0.1911 +2023-03-04 05:41:30,920 - mmseg - INFO - Iter [74400/160000] lr: 7.500e-05, eta: 5:10:43, time: 0.192, data_time: 0.008, memory: 52540, decode.loss_ce: 0.1896, decode.acc_seg: 92.1932, loss: 0.1896 +2023-03-04 05:41:40,820 - mmseg - INFO - Iter [74450/160000] lr: 7.500e-05, eta: 5:10:30, time: 0.198, data_time: 0.008, memory: 52540, decode.loss_ce: 0.1932, decode.acc_seg: 92.0738, loss: 0.1932 +2023-03-04 05:41:52,970 - mmseg - INFO - Iter [74500/160000] lr: 7.500e-05, eta: 5:10:21, time: 0.243, data_time: 0.056, memory: 52540, decode.loss_ce: 0.1937, decode.acc_seg: 92.0524, loss: 0.1937 +2023-03-04 05:42:02,695 - mmseg - INFO - Iter [74550/160000] lr: 7.500e-05, eta: 5:10:09, time: 0.194, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1859, decode.acc_seg: 92.1665, loss: 0.1859 +2023-03-04 05:42:12,306 - mmseg - INFO - Iter [74600/160000] lr: 7.500e-05, eta: 5:09:56, time: 0.192, data_time: 0.008, memory: 52540, decode.loss_ce: 0.1939, decode.acc_seg: 92.0071, loss: 0.1939 +2023-03-04 05:42:22,210 - mmseg - INFO - Iter [74650/160000] lr: 7.500e-05, eta: 5:09:44, time: 0.198, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1880, decode.acc_seg: 92.1950, loss: 0.1880 +2023-03-04 05:42:31,891 - mmseg - INFO - Iter [74700/160000] lr: 7.500e-05, eta: 5:09:32, time: 0.194, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1990, decode.acc_seg: 91.8754, loss: 0.1990 +2023-03-04 05:42:41,851 - mmseg - INFO - Iter [74750/160000] lr: 7.500e-05, eta: 5:09:20, time: 0.199, data_time: 0.008, memory: 52540, decode.loss_ce: 0.2009, decode.acc_seg: 91.6330, loss: 0.2009 +2023-03-04 05:42:51,370 - mmseg - INFO - Iter [74800/160000] lr: 7.500e-05, eta: 5:09:08, time: 0.190, data_time: 0.008, memory: 52540, decode.loss_ce: 0.1927, decode.acc_seg: 92.0318, loss: 0.1927 +2023-03-04 05:43:00,955 - mmseg - INFO - Iter [74850/160000] lr: 7.500e-05, eta: 5:08:55, time: 0.192, data_time: 0.008, memory: 52540, decode.loss_ce: 0.1961, decode.acc_seg: 91.8404, loss: 0.1961 +2023-03-04 05:43:10,499 - mmseg - INFO - Iter [74900/160000] lr: 7.500e-05, eta: 5:08:43, time: 0.191, data_time: 0.008, memory: 52540, decode.loss_ce: 0.1881, decode.acc_seg: 92.1521, loss: 0.1881 +2023-03-04 05:43:20,330 - mmseg - INFO - Iter [74950/160000] lr: 7.500e-05, eta: 5:08:31, time: 0.196, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1939, decode.acc_seg: 92.0457, loss: 0.1939 +2023-03-04 05:43:30,069 - mmseg - INFO - Exp name: ablation_segformer_mit_b2_segformer_head_unet_fc_small_multi_step_ade_pretrained_freeze_embed_160k_ade20k151_finetune_ema_t50.py +2023-03-04 05:43:30,070 - mmseg - INFO - Iter [75000/160000] lr: 7.500e-05, eta: 5:08:19, time: 0.195, data_time: 0.008, memory: 52540, decode.loss_ce: 0.1974, decode.acc_seg: 91.8721, loss: 0.1974 +2023-03-04 05:43:39,619 - mmseg - INFO - Iter [75050/160000] lr: 7.500e-05, eta: 5:08:06, time: 0.191, data_time: 0.007, memory: 52540, decode.loss_ce: 0.2021, decode.acc_seg: 91.7545, loss: 0.2021 +2023-03-04 05:43:51,636 - mmseg - INFO - Iter [75100/160000] lr: 7.500e-05, eta: 5:07:57, time: 0.240, data_time: 0.056, memory: 52540, decode.loss_ce: 0.2004, decode.acc_seg: 91.9907, loss: 0.2004 +2023-03-04 05:44:01,045 - mmseg - INFO - Iter [75150/160000] lr: 7.500e-05, eta: 5:07:44, time: 0.188, data_time: 0.008, memory: 52540, decode.loss_ce: 0.1875, decode.acc_seg: 92.2573, loss: 0.1875 +2023-03-04 05:44:10,930 - mmseg - INFO - Iter [75200/160000] lr: 7.500e-05, eta: 5:07:32, time: 0.198, data_time: 0.007, memory: 52540, decode.loss_ce: 0.2001, decode.acc_seg: 91.8947, loss: 0.2001 +2023-03-04 05:44:20,403 - mmseg - INFO - Iter [75250/160000] lr: 7.500e-05, eta: 5:07:20, time: 0.189, data_time: 0.008, memory: 52540, decode.loss_ce: 0.2000, decode.acc_seg: 91.7723, loss: 0.2000 +2023-03-04 05:44:29,850 - mmseg - INFO - Iter [75300/160000] lr: 7.500e-05, eta: 5:07:07, time: 0.189, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1944, decode.acc_seg: 92.0625, loss: 0.1944 +2023-03-04 05:44:39,370 - mmseg - INFO - Iter [75350/160000] lr: 7.500e-05, eta: 5:06:55, time: 0.190, data_time: 0.008, memory: 52540, decode.loss_ce: 0.1927, decode.acc_seg: 92.0575, loss: 0.1927 +2023-03-04 05:44:49,084 - mmseg - INFO - Iter [75400/160000] lr: 7.500e-05, eta: 5:06:43, time: 0.194, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1906, decode.acc_seg: 92.2403, loss: 0.1906 +2023-03-04 05:44:58,652 - mmseg - INFO - Iter [75450/160000] lr: 7.500e-05, eta: 5:06:30, time: 0.191, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1998, decode.acc_seg: 91.9131, loss: 0.1998 +2023-03-04 05:45:08,091 - mmseg - INFO - Iter [75500/160000] lr: 7.500e-05, eta: 5:06:18, time: 0.189, data_time: 0.008, memory: 52540, decode.loss_ce: 0.1955, decode.acc_seg: 91.8459, loss: 0.1955 +2023-03-04 05:45:17,507 - mmseg - INFO - Iter [75550/160000] lr: 7.500e-05, eta: 5:06:05, time: 0.188, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1978, decode.acc_seg: 91.9070, loss: 0.1978 +2023-03-04 05:45:27,145 - mmseg - INFO - Iter [75600/160000] lr: 7.500e-05, eta: 5:05:53, time: 0.193, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1952, decode.acc_seg: 92.0947, loss: 0.1952 +2023-03-04 05:45:36,638 - mmseg - INFO - Iter [75650/160000] lr: 7.500e-05, eta: 5:05:41, time: 0.190, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1936, decode.acc_seg: 92.0649, loss: 0.1936 +2023-03-04 05:45:46,036 - mmseg - INFO - Iter [75700/160000] lr: 7.500e-05, eta: 5:05:28, time: 0.188, data_time: 0.008, memory: 52540, decode.loss_ce: 0.1987, decode.acc_seg: 91.8450, loss: 0.1987 +2023-03-04 05:45:57,918 - mmseg - INFO - Iter [75750/160000] lr: 7.500e-05, eta: 5:05:18, time: 0.238, data_time: 0.056, memory: 52540, decode.loss_ce: 0.1902, decode.acc_seg: 92.1726, loss: 0.1902 +2023-03-04 05:46:07,507 - mmseg - INFO - Iter [75800/160000] lr: 7.500e-05, eta: 5:05:06, time: 0.192, data_time: 0.008, memory: 52540, decode.loss_ce: 0.1953, decode.acc_seg: 92.0224, loss: 0.1953 +2023-03-04 05:46:16,999 - mmseg - INFO - Iter [75850/160000] lr: 7.500e-05, eta: 5:04:54, time: 0.190, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1994, decode.acc_seg: 91.7775, loss: 0.1994 +2023-03-04 05:46:26,585 - mmseg - INFO - Iter [75900/160000] lr: 7.500e-05, eta: 5:04:41, time: 0.192, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1877, decode.acc_seg: 92.2908, loss: 0.1877 +2023-03-04 05:46:36,079 - mmseg - INFO - Iter [75950/160000] lr: 7.500e-05, eta: 5:04:29, time: 0.190, data_time: 0.008, memory: 52540, decode.loss_ce: 0.1922, decode.acc_seg: 92.1364, loss: 0.1922 +2023-03-04 05:46:45,825 - mmseg - INFO - Exp name: ablation_segformer_mit_b2_segformer_head_unet_fc_small_multi_step_ade_pretrained_freeze_embed_160k_ade20k151_finetune_ema_t50.py +2023-03-04 05:46:45,825 - mmseg - INFO - Iter [76000/160000] lr: 7.500e-05, eta: 5:04:17, time: 0.195, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1981, decode.acc_seg: 91.9563, loss: 0.1981 +2023-03-04 05:46:55,556 - mmseg - INFO - Iter [76050/160000] lr: 7.500e-05, eta: 5:04:05, time: 0.195, data_time: 0.008, memory: 52540, decode.loss_ce: 0.1965, decode.acc_seg: 91.9176, loss: 0.1965 +2023-03-04 05:47:05,164 - mmseg - INFO - Iter [76100/160000] lr: 7.500e-05, eta: 5:03:53, time: 0.192, data_time: 0.007, memory: 52540, decode.loss_ce: 0.2033, decode.acc_seg: 91.6651, loss: 0.2033 +2023-03-04 05:47:14,741 - mmseg - INFO - Iter [76150/160000] lr: 7.500e-05, eta: 5:03:40, time: 0.192, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1931, decode.acc_seg: 92.0869, loss: 0.1931 +2023-03-04 05:47:24,378 - mmseg - INFO - Iter [76200/160000] lr: 7.500e-05, eta: 5:03:28, time: 0.193, data_time: 0.008, memory: 52540, decode.loss_ce: 0.1920, decode.acc_seg: 92.2425, loss: 0.1920 +2023-03-04 05:47:33,895 - mmseg - INFO - Iter [76250/160000] lr: 7.500e-05, eta: 5:03:16, time: 0.190, data_time: 0.008, memory: 52540, decode.loss_ce: 0.1993, decode.acc_seg: 91.8271, loss: 0.1993 +2023-03-04 05:47:43,314 - mmseg - INFO - Iter [76300/160000] lr: 7.500e-05, eta: 5:03:03, time: 0.188, data_time: 0.008, memory: 52540, decode.loss_ce: 0.1887, decode.acc_seg: 92.2320, loss: 0.1887 +2023-03-04 05:47:53,078 - mmseg - INFO - Iter [76350/160000] lr: 7.500e-05, eta: 5:02:51, time: 0.195, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1958, decode.acc_seg: 91.7767, loss: 0.1958 +2023-03-04 05:48:05,285 - mmseg - INFO - Iter [76400/160000] lr: 7.500e-05, eta: 5:02:42, time: 0.244, data_time: 0.053, memory: 52540, decode.loss_ce: 0.2015, decode.acc_seg: 91.9239, loss: 0.2015 +2023-03-04 05:48:14,915 - mmseg - INFO - Iter [76450/160000] lr: 7.500e-05, eta: 5:02:30, time: 0.193, data_time: 0.008, memory: 52540, decode.loss_ce: 0.1939, decode.acc_seg: 92.0219, loss: 0.1939 +2023-03-04 05:48:24,803 - mmseg - INFO - Iter [76500/160000] lr: 7.500e-05, eta: 5:02:18, time: 0.198, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1920, decode.acc_seg: 92.2154, loss: 0.1920 +2023-03-04 05:48:34,562 - mmseg - INFO - Iter [76550/160000] lr: 7.500e-05, eta: 5:02:06, time: 0.195, data_time: 0.008, memory: 52540, decode.loss_ce: 0.1898, decode.acc_seg: 92.1777, loss: 0.1898 +2023-03-04 05:48:43,973 - mmseg - INFO - Iter [76600/160000] lr: 7.500e-05, eta: 5:01:53, time: 0.188, data_time: 0.008, memory: 52540, decode.loss_ce: 0.1994, decode.acc_seg: 91.8634, loss: 0.1994 +2023-03-04 05:48:53,500 - mmseg - INFO - Iter [76650/160000] lr: 7.500e-05, eta: 5:01:41, time: 0.191, data_time: 0.008, memory: 52540, decode.loss_ce: 0.1930, decode.acc_seg: 92.1416, loss: 0.1930 +2023-03-04 05:49:03,498 - mmseg - INFO - Iter [76700/160000] lr: 7.500e-05, eta: 5:01:29, time: 0.200, data_time: 0.008, memory: 52540, decode.loss_ce: 0.1916, decode.acc_seg: 92.0718, loss: 0.1916 +2023-03-04 05:49:13,162 - mmseg - INFO - Iter [76750/160000] lr: 7.500e-05, eta: 5:01:17, time: 0.194, data_time: 0.007, memory: 52540, decode.loss_ce: 0.2035, decode.acc_seg: 91.7115, loss: 0.2035 +2023-03-04 05:49:23,323 - mmseg - INFO - Iter [76800/160000] lr: 7.500e-05, eta: 5:01:05, time: 0.203, data_time: 0.009, memory: 52540, decode.loss_ce: 0.1946, decode.acc_seg: 92.1265, loss: 0.1946 +2023-03-04 05:49:33,061 - mmseg - INFO - Iter [76850/160000] lr: 7.500e-05, eta: 5:00:53, time: 0.195, data_time: 0.008, memory: 52540, decode.loss_ce: 0.1910, decode.acc_seg: 92.0071, loss: 0.1910 +2023-03-04 05:49:42,638 - mmseg - INFO - Iter [76900/160000] lr: 7.500e-05, eta: 5:00:41, time: 0.192, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1948, decode.acc_seg: 91.8762, loss: 0.1948 +2023-03-04 05:49:52,229 - mmseg - INFO - Iter [76950/160000] lr: 7.500e-05, eta: 5:00:29, time: 0.192, data_time: 0.008, memory: 52540, decode.loss_ce: 0.1868, decode.acc_seg: 92.2703, loss: 0.1868 +2023-03-04 05:50:04,532 - mmseg - INFO - Exp name: ablation_segformer_mit_b2_segformer_head_unet_fc_small_multi_step_ade_pretrained_freeze_embed_160k_ade20k151_finetune_ema_t50.py +2023-03-04 05:50:04,532 - mmseg - INFO - Iter [77000/160000] lr: 7.500e-05, eta: 5:00:19, time: 0.246, data_time: 0.055, memory: 52540, decode.loss_ce: 0.1945, decode.acc_seg: 92.0867, loss: 0.1945 +2023-03-04 05:50:14,197 - mmseg - INFO - Iter [77050/160000] lr: 7.500e-05, eta: 5:00:07, time: 0.193, data_time: 0.008, memory: 52540, decode.loss_ce: 0.1938, decode.acc_seg: 92.1833, loss: 0.1938 +2023-03-04 05:50:24,251 - mmseg - INFO - Iter [77100/160000] lr: 7.500e-05, eta: 4:59:56, time: 0.201, data_time: 0.008, memory: 52540, decode.loss_ce: 0.1965, decode.acc_seg: 92.0091, loss: 0.1965 +2023-03-04 05:50:34,109 - mmseg - INFO - Iter [77150/160000] lr: 7.500e-05, eta: 4:59:44, time: 0.197, data_time: 0.008, memory: 52540, decode.loss_ce: 0.1960, decode.acc_seg: 91.9926, loss: 0.1960 +2023-03-04 05:50:43,772 - mmseg - INFO - Iter [77200/160000] lr: 7.500e-05, eta: 4:59:32, time: 0.193, data_time: 0.008, memory: 52540, decode.loss_ce: 0.1889, decode.acc_seg: 92.2566, loss: 0.1889 +2023-03-04 05:50:53,306 - mmseg - INFO - Iter [77250/160000] lr: 7.500e-05, eta: 4:59:19, time: 0.191, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1934, decode.acc_seg: 92.0156, loss: 0.1934 +2023-03-04 05:51:03,046 - mmseg - INFO - Iter [77300/160000] lr: 7.500e-05, eta: 4:59:07, time: 0.195, data_time: 0.008, memory: 52540, decode.loss_ce: 0.1956, decode.acc_seg: 92.0559, loss: 0.1956 +2023-03-04 05:51:12,559 - mmseg - INFO - Iter [77350/160000] lr: 7.500e-05, eta: 4:58:55, time: 0.190, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1921, decode.acc_seg: 92.1132, loss: 0.1921 +2023-03-04 05:51:21,948 - mmseg - INFO - Iter [77400/160000] lr: 7.500e-05, eta: 4:58:43, time: 0.188, data_time: 0.008, memory: 52540, decode.loss_ce: 0.1974, decode.acc_seg: 91.8758, loss: 0.1974 +2023-03-04 05:51:31,593 - mmseg - INFO - Iter [77450/160000] lr: 7.500e-05, eta: 4:58:30, time: 0.193, data_time: 0.008, memory: 52540, decode.loss_ce: 0.1909, decode.acc_seg: 92.0662, loss: 0.1909 +2023-03-04 05:51:41,150 - mmseg - INFO - Iter [77500/160000] lr: 7.500e-05, eta: 4:58:18, time: 0.191, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1943, decode.acc_seg: 91.9153, loss: 0.1943 +2023-03-04 05:51:50,754 - mmseg - INFO - Iter [77550/160000] lr: 7.500e-05, eta: 4:58:06, time: 0.192, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1981, decode.acc_seg: 91.9291, loss: 0.1981 +2023-03-04 05:52:00,199 - mmseg - INFO - Iter [77600/160000] lr: 7.500e-05, eta: 4:57:54, time: 0.189, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1946, decode.acc_seg: 92.0524, loss: 0.1946 +2023-03-04 05:52:12,424 - mmseg - INFO - Iter [77650/160000] lr: 7.500e-05, eta: 4:57:44, time: 0.244, data_time: 0.060, memory: 52540, decode.loss_ce: 0.1861, decode.acc_seg: 92.3106, loss: 0.1861 +2023-03-04 05:52:22,002 - mmseg - INFO - Iter [77700/160000] lr: 7.500e-05, eta: 4:57:32, time: 0.192, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1980, decode.acc_seg: 91.9701, loss: 0.1980 +2023-03-04 05:52:31,476 - mmseg - INFO - Iter [77750/160000] lr: 7.500e-05, eta: 4:57:20, time: 0.189, data_time: 0.008, memory: 52540, decode.loss_ce: 0.1963, decode.acc_seg: 92.0603, loss: 0.1963 +2023-03-04 05:52:41,422 - mmseg - INFO - Iter [77800/160000] lr: 7.500e-05, eta: 4:57:08, time: 0.199, data_time: 0.008, memory: 52540, decode.loss_ce: 0.1950, decode.acc_seg: 92.0209, loss: 0.1950 +2023-03-04 05:52:50,937 - mmseg - INFO - Iter [77850/160000] lr: 7.500e-05, eta: 4:56:56, time: 0.190, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1952, decode.acc_seg: 91.9804, loss: 0.1952 +2023-03-04 05:53:00,404 - mmseg - INFO - Iter [77900/160000] lr: 7.500e-05, eta: 4:56:44, time: 0.189, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1935, decode.acc_seg: 92.1706, loss: 0.1935 +2023-03-04 05:53:10,045 - mmseg - INFO - Iter [77950/160000] lr: 7.500e-05, eta: 4:56:31, time: 0.193, data_time: 0.008, memory: 52540, decode.loss_ce: 0.1991, decode.acc_seg: 91.8315, loss: 0.1991 +2023-03-04 05:53:19,648 - mmseg - INFO - Exp name: ablation_segformer_mit_b2_segformer_head_unet_fc_small_multi_step_ade_pretrained_freeze_embed_160k_ade20k151_finetune_ema_t50.py +2023-03-04 05:53:19,648 - mmseg - INFO - Iter [78000/160000] lr: 7.500e-05, eta: 4:56:19, time: 0.192, data_time: 0.008, memory: 52540, decode.loss_ce: 0.2010, decode.acc_seg: 91.9421, loss: 0.2010 +2023-03-04 05:53:29,494 - mmseg - INFO - Iter [78050/160000] lr: 7.500e-05, eta: 4:56:07, time: 0.197, data_time: 0.008, memory: 52540, decode.loss_ce: 0.1984, decode.acc_seg: 91.9779, loss: 0.1984 +2023-03-04 05:53:39,264 - mmseg - INFO - Iter [78100/160000] lr: 7.500e-05, eta: 4:55:55, time: 0.195, data_time: 0.008, memory: 52540, decode.loss_ce: 0.2090, decode.acc_seg: 91.5000, loss: 0.2090 +2023-03-04 05:53:48,914 - mmseg - INFO - Iter [78150/160000] lr: 7.500e-05, eta: 4:55:43, time: 0.193, data_time: 0.008, memory: 52540, decode.loss_ce: 0.1920, decode.acc_seg: 91.9592, loss: 0.1920 +2023-03-04 05:53:58,850 - mmseg - INFO - Iter [78200/160000] lr: 7.500e-05, eta: 4:55:32, time: 0.199, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1926, decode.acc_seg: 92.0270, loss: 0.1926 +2023-03-04 05:54:11,177 - mmseg - INFO - Iter [78250/160000] lr: 7.500e-05, eta: 4:55:22, time: 0.247, data_time: 0.057, memory: 52540, decode.loss_ce: 0.1970, decode.acc_seg: 91.8914, loss: 0.1970 +2023-03-04 05:54:20,651 - mmseg - INFO - Iter [78300/160000] lr: 7.500e-05, eta: 4:55:10, time: 0.189, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1951, decode.acc_seg: 91.9847, loss: 0.1951 +2023-03-04 05:54:30,375 - mmseg - INFO - Iter [78350/160000] lr: 7.500e-05, eta: 4:54:58, time: 0.195, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1874, decode.acc_seg: 92.2452, loss: 0.1874 +2023-03-04 05:54:39,912 - mmseg - INFO - Iter [78400/160000] lr: 7.500e-05, eta: 4:54:46, time: 0.191, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1965, decode.acc_seg: 92.0185, loss: 0.1965 +2023-03-04 05:54:49,386 - mmseg - INFO - Iter [78450/160000] lr: 7.500e-05, eta: 4:54:34, time: 0.189, data_time: 0.008, memory: 52540, decode.loss_ce: 0.1943, decode.acc_seg: 91.9077, loss: 0.1943 +2023-03-04 05:54:59,029 - mmseg - INFO - Iter [78500/160000] lr: 7.500e-05, eta: 4:54:21, time: 0.193, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1972, decode.acc_seg: 91.8424, loss: 0.1972 +2023-03-04 05:55:08,583 - mmseg - INFO - Iter [78550/160000] lr: 7.500e-05, eta: 4:54:09, time: 0.191, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1932, decode.acc_seg: 92.1534, loss: 0.1932 +2023-03-04 05:55:17,980 - mmseg - INFO - Iter [78600/160000] lr: 7.500e-05, eta: 4:53:57, time: 0.188, data_time: 0.008, memory: 52540, decode.loss_ce: 0.1945, decode.acc_seg: 92.0720, loss: 0.1945 +2023-03-04 05:55:27,598 - mmseg - INFO - Iter [78650/160000] lr: 7.500e-05, eta: 4:53:45, time: 0.192, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1974, decode.acc_seg: 91.9217, loss: 0.1974 +2023-03-04 05:55:37,377 - mmseg - INFO - Iter [78700/160000] lr: 7.500e-05, eta: 4:53:33, time: 0.196, data_time: 0.008, memory: 52540, decode.loss_ce: 0.1905, decode.acc_seg: 92.1662, loss: 0.1905 +2023-03-04 05:55:46,985 - mmseg - INFO - Iter [78750/160000] lr: 7.500e-05, eta: 4:53:21, time: 0.192, data_time: 0.008, memory: 52540, decode.loss_ce: 0.1958, decode.acc_seg: 92.1142, loss: 0.1958 +2023-03-04 05:55:56,506 - mmseg - INFO - Iter [78800/160000] lr: 7.500e-05, eta: 4:53:09, time: 0.190, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1951, decode.acc_seg: 91.9496, loss: 0.1951 +2023-03-04 05:56:06,064 - mmseg - INFO - Iter [78850/160000] lr: 7.500e-05, eta: 4:52:57, time: 0.191, data_time: 0.008, memory: 52540, decode.loss_ce: 0.1935, decode.acc_seg: 92.0668, loss: 0.1935 +2023-03-04 05:56:18,186 - mmseg - INFO - Iter [78900/160000] lr: 7.500e-05, eta: 4:52:47, time: 0.242, data_time: 0.057, memory: 52540, decode.loss_ce: 0.2010, decode.acc_seg: 91.9560, loss: 0.2010 +2023-03-04 05:56:28,062 - mmseg - INFO - Iter [78950/160000] lr: 7.500e-05, eta: 4:52:35, time: 0.198, data_time: 0.008, memory: 52540, decode.loss_ce: 0.1949, decode.acc_seg: 91.9816, loss: 0.1949 +2023-03-04 05:56:37,588 - mmseg - INFO - Exp name: ablation_segformer_mit_b2_segformer_head_unet_fc_small_multi_step_ade_pretrained_freeze_embed_160k_ade20k151_finetune_ema_t50.py +2023-03-04 05:56:37,588 - mmseg - INFO - Iter [79000/160000] lr: 7.500e-05, eta: 4:52:23, time: 0.190, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1959, decode.acc_seg: 91.9703, loss: 0.1959 +2023-03-04 05:56:47,759 - mmseg - INFO - Iter [79050/160000] lr: 7.500e-05, eta: 4:52:12, time: 0.203, data_time: 0.008, memory: 52540, decode.loss_ce: 0.1960, decode.acc_seg: 91.9912, loss: 0.1960 +2023-03-04 05:56:57,347 - mmseg - INFO - Iter [79100/160000] lr: 7.500e-05, eta: 4:51:59, time: 0.192, data_time: 0.008, memory: 52540, decode.loss_ce: 0.1939, decode.acc_seg: 91.9190, loss: 0.1939 +2023-03-04 05:57:07,104 - mmseg - INFO - Iter [79150/160000] lr: 7.500e-05, eta: 4:51:48, time: 0.195, data_time: 0.007, memory: 52540, decode.loss_ce: 0.2009, decode.acc_seg: 91.7755, loss: 0.2009 +2023-03-04 05:57:16,558 - mmseg - INFO - Iter [79200/160000] lr: 7.500e-05, eta: 4:51:35, time: 0.189, data_time: 0.008, memory: 52540, decode.loss_ce: 0.1876, decode.acc_seg: 92.3315, loss: 0.1876 +2023-03-04 05:57:26,394 - mmseg - INFO - Iter [79250/160000] lr: 7.500e-05, eta: 4:51:23, time: 0.197, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1958, decode.acc_seg: 91.9673, loss: 0.1958 +2023-03-04 05:57:36,294 - mmseg - INFO - Iter [79300/160000] lr: 7.500e-05, eta: 4:51:12, time: 0.198, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1948, decode.acc_seg: 92.1358, loss: 0.1948 +2023-03-04 05:57:45,776 - mmseg - INFO - Iter [79350/160000] lr: 7.500e-05, eta: 4:51:00, time: 0.190, data_time: 0.008, memory: 52540, decode.loss_ce: 0.1992, decode.acc_seg: 91.8985, loss: 0.1992 +2023-03-04 05:57:55,230 - mmseg - INFO - Iter [79400/160000] lr: 7.500e-05, eta: 4:50:47, time: 0.189, data_time: 0.008, memory: 52540, decode.loss_ce: 0.2007, decode.acc_seg: 91.8985, loss: 0.2007 +2023-03-04 05:58:04,903 - mmseg - INFO - Iter [79450/160000] lr: 7.500e-05, eta: 4:50:35, time: 0.194, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1943, decode.acc_seg: 91.9099, loss: 0.1943 +2023-03-04 05:58:14,674 - mmseg - INFO - Iter [79500/160000] lr: 7.500e-05, eta: 4:50:23, time: 0.195, data_time: 0.007, memory: 52540, decode.loss_ce: 0.2022, decode.acc_seg: 91.8188, loss: 0.2022 +2023-03-04 05:58:26,741 - mmseg - INFO - Iter [79550/160000] lr: 7.500e-05, eta: 4:50:14, time: 0.241, data_time: 0.055, memory: 52540, decode.loss_ce: 0.1931, decode.acc_seg: 92.0377, loss: 0.1931 +2023-03-04 05:58:36,233 - mmseg - INFO - Iter [79600/160000] lr: 7.500e-05, eta: 4:50:02, time: 0.190, data_time: 0.008, memory: 52540, decode.loss_ce: 0.1900, decode.acc_seg: 92.2015, loss: 0.1900 +2023-03-04 05:58:45,763 - mmseg - INFO - Iter [79650/160000] lr: 7.500e-05, eta: 4:49:50, time: 0.191, data_time: 0.008, memory: 52540, decode.loss_ce: 0.1955, decode.acc_seg: 92.1296, loss: 0.1955 +2023-03-04 05:58:55,636 - mmseg - INFO - Iter [79700/160000] lr: 7.500e-05, eta: 4:49:38, time: 0.197, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1974, decode.acc_seg: 92.0203, loss: 0.1974 +2023-03-04 05:59:05,465 - mmseg - INFO - Iter [79750/160000] lr: 7.500e-05, eta: 4:49:26, time: 0.197, data_time: 0.008, memory: 52540, decode.loss_ce: 0.1975, decode.acc_seg: 91.9650, loss: 0.1975 +2023-03-04 05:59:15,021 - mmseg - INFO - Iter [79800/160000] lr: 7.500e-05, eta: 4:49:14, time: 0.191, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1991, decode.acc_seg: 91.9096, loss: 0.1991 +2023-03-04 05:59:24,642 - mmseg - INFO - Iter [79850/160000] lr: 7.500e-05, eta: 4:49:02, time: 0.192, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1959, decode.acc_seg: 92.0881, loss: 0.1959 +2023-03-04 05:59:34,175 - mmseg - INFO - Iter [79900/160000] lr: 7.500e-05, eta: 4:48:50, time: 0.191, data_time: 0.008, memory: 52540, decode.loss_ce: 0.1845, decode.acc_seg: 92.3603, loss: 0.1845 +2023-03-04 05:59:43,766 - mmseg - INFO - Iter [79950/160000] lr: 7.500e-05, eta: 4:48:38, time: 0.192, data_time: 0.008, memory: 52540, decode.loss_ce: 0.1936, decode.acc_seg: 92.0987, loss: 0.1936 +2023-03-04 05:59:53,337 - mmseg - INFO - Swap parameters (after train) after iter [80000] +2023-03-04 05:59:53,350 - mmseg - INFO - Saving checkpoint at 80000 iterations +2023-03-04 05:59:54,316 - mmseg - INFO - Exp name: ablation_segformer_mit_b2_segformer_head_unet_fc_small_multi_step_ade_pretrained_freeze_embed_160k_ade20k151_finetune_ema_t50.py +2023-03-04 05:59:54,316 - mmseg - INFO - Iter [80000/160000] lr: 7.500e-05, eta: 4:48:27, time: 0.211, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1891, decode.acc_seg: 92.3868, loss: 0.1891 +2023-03-04 06:05:46,671 - mmseg - INFO - per class results: +2023-03-04 06:05:46,679 - mmseg - INFO - ++---------------------+-------------------------------------------------------------------+ +| Class | IoU 0,5,10,15,20,25,30,35,40,45,49 | ++---------------------+-------------------------------------------------------------------+ +| background | nan,nan,nan,nan,nan,nan,nan,nan,nan,nan,nan | +| wall | 77.49,77.52,77.53,77.54,77.58,77.55,77.59,77.57,77.6,77.57,77.58 | +| building | 81.54,81.55,81.56,81.58,81.59,81.62,81.6,81.65,81.62,81.66,81.66 | +| sky | 94.48,94.48,94.48,94.49,94.49,94.49,94.49,94.5,94.49,94.5,94.5 | +| floor | 81.84,81.84,81.87,81.88,81.86,81.89,81.89,81.89,81.9,81.89,81.89 | +| tree | 74.32,74.33,74.35,74.37,74.38,74.38,74.39,74.38,74.4,74.37,74.37 | +| ceiling | 85.35,85.36,85.39,85.41,85.44,85.42,85.46,85.48,85.5,85.5,85.5 | +| road | 82.19,82.17,82.21,82.2,82.21,82.22,82.23,82.26,82.26,82.24,82.23 | +| bed | 87.83,87.87,87.87,87.86,87.89,87.87,87.91,87.9,87.87,87.9,87.89 | +| windowpane | 60.68,60.69,60.7,60.69,60.68,60.71,60.72,60.72,60.71,60.69,60.7 | +| grass | 67.28,67.32,67.35,67.36,67.39,67.42,67.42,67.45,67.48,67.47,67.48 | +| cabinet | 60.74,60.8,60.84,60.94,60.86,60.88,60.91,60.9,60.89,60.97,60.95 | +| sidewalk | 64.07,64.07,64.09,64.08,64.14,64.12,64.19,64.21,64.28,64.26,64.26 | +| person | 79.69,79.74,79.74,79.77,79.77,79.79,79.79,79.82,79.83,79.82,79.82 | +| earth | 35.96,35.96,36.02,36.07,36.04,36.1,36.08,36.11,36.02,36.13,36.13 | +| door | 46.09,46.12,46.15,46.14,46.17,46.24,46.25,46.24,46.24,46.29,46.3 | +| table | 61.34,61.37,61.44,61.45,61.46,61.43,61.44,61.45,61.45,61.45,61.45 | +| mountain | 57.33,57.34,57.38,57.44,57.49,57.51,57.64,57.64,57.82,57.7,57.72 | +| plant | 49.96,49.99,50.0,50.03,50.03,50.04,50.04,50.02,50.07,50.03,50.04 | +| curtain | 74.81,74.87,74.88,74.91,74.91,75.0,75.07,75.05,75.01,75.02,75.02 | +| chair | 56.47,56.44,56.45,56.48,56.46,56.47,56.48,56.49,56.51,56.49,56.49 | +| car | 81.66,81.7,81.72,81.76,81.76,81.83,81.82,81.84,81.83,81.88,81.88 | +| water | 56.73,56.71,56.72,56.74,56.73,56.77,56.79,56.8,56.8,56.82,56.82 | +| painting | 70.42,70.42,70.41,70.32,70.33,70.24,70.26,70.19,70.24,70.21,70.24 | +| sofa | 64.73,64.75,64.87,64.89,64.96,65.11,65.09,65.21,65.19,65.25,65.32 | +| shelf | 44.87,44.92,44.91,44.94,44.98,44.96,44.91,44.9,44.95,44.89,44.89 | +| house | 39.62,39.9,39.96,40.14,40.28,40.54,40.39,40.92,40.57,41.07,41.12 | +| sea | 59.72,59.72,59.7,59.71,59.73,59.75,59.8,59.77,59.79,59.77,59.77 | +| mirror | 66.31,66.35,66.38,66.46,66.48,66.48,66.61,66.64,66.61,66.61,66.65 | +| rug | 65.09,65.1,65.27,65.53,65.49,65.8,65.65,65.83,65.83,65.9,65.9 | +| field | 30.8,30.79,30.79,30.8,30.81,30.83,30.86,30.88,30.96,30.99,31.03 | +| armchair | 37.3,37.28,37.32,37.4,37.48,37.52,37.55,37.5,37.55,37.6,37.74 | +| seat | 65.5,65.41,65.43,65.37,65.44,65.39,65.41,65.38,65.46,65.37,65.37 | +| fence | 40.68,40.61,40.69,40.5,40.62,40.44,40.53,40.2,40.44,40.2,40.16 | +| desk | 46.19,46.17,46.24,46.3,46.23,46.22,46.1,46.22,46.08,46.16,46.1 | +| rock | 37.0,37.03,37.05,37.08,37.07,37.13,37.23,37.25,37.25,37.32,37.33 | +| wardrobe | 57.54,57.53,57.39,57.46,57.41,57.53,57.42,57.5,57.45,57.48,57.47 | +| lamp | 62.31,62.31,62.33,62.33,62.31,62.26,62.32,62.27,62.26,62.23,62.21 | +| bathtub | 75.45,75.44,75.49,75.34,75.41,75.08,75.07,74.94,75.06,74.92,74.91 | +| railing | 34.31,34.34,34.4,34.35,34.37,34.53,34.45,34.57,34.65,34.63,34.61 | +| cushion | 57.46,57.27,57.35,57.42,57.34,57.32,57.27,57.21,57.18,57.12,57.15 | +| base | 21.68,21.77,21.81,21.82,21.88,21.94,21.97,21.92,22.02,22.06,22.1 | +| box | 23.38,23.45,23.51,23.58,23.5,23.6,23.52,23.62,23.59,23.67,23.68 | +| column | 46.3,46.31,46.41,46.52,46.5,46.59,46.64,46.66,46.65,46.67,46.65 | +| signboard | 37.44,37.47,37.5,37.45,37.54,37.58,37.67,37.68,37.6,37.65,37.64 | +| chest of drawers | 36.69,36.79,36.99,37.04,36.92,37.06,37.02,37.0,36.89,37.01,37.03 | +| counter | 31.34,31.35,31.39,31.49,31.45,31.47,31.57,31.46,31.48,31.53,31.55 | +| sand | 42.89,42.99,43.14,43.15,43.27,43.37,43.35,43.41,43.45,43.46,43.46 | +| sink | 67.85,67.78,67.73,67.83,67.8,67.83,67.84,67.88,67.86,67.94,67.91 | +| skyscraper | 48.18,48.38,48.25,48.23,48.29,48.36,48.16,48.39,48.2,48.45,48.44 | +| fireplace | 76.74,76.68,76.75,76.79,76.78,76.96,76.88,77.14,76.88,77.16,77.15 | +| refrigerator | 75.57,75.64,75.82,75.94,76.01,76.28,76.11,76.31,76.17,76.36,76.34 | +| grandstand | 54.89,55.25,55.07,55.4,55.42,55.57,55.69,55.79,55.82,55.9,55.97 | +| path | 21.85,21.87,21.86,21.91,21.91,21.89,21.96,21.93,22.0,22.02,22.04 | +| stairs | 32.45,32.51,32.54,32.54,32.6,32.51,32.63,32.54,32.74,32.61,32.61 | +| runway | 67.41,67.39,67.44,67.48,67.51,67.46,67.5,67.52,67.55,67.45,67.45 | +| case | 48.03,48.14,48.15,48.21,48.4,48.47,48.39,48.41,48.47,48.53,48.54 | +| pool table | 91.88,91.89,91.92,92.0,92.0,91.96,92.01,92.03,92.05,92.06,92.07 | +| pillow | 61.21,60.79,60.81,60.97,60.88,60.87,60.76,60.74,60.68,60.64,60.64 | +| screen door | 69.04,69.12,69.2,69.01,69.19,69.14,69.29,69.29,69.67,69.5,69.46 | +| stairway | 23.73,23.7,23.75,23.78,23.7,23.81,23.8,23.77,23.86,23.74,23.76 | +| river | 11.94,11.91,11.92,11.88,11.9,11.89,11.84,11.81,11.79,11.79,11.8 | +| bridge | 31.21,31.22,31.32,31.32,31.21,31.43,31.18,30.93,31.28,31.01,31.08 | +| bookcase | 46.34,46.24,46.17,46.16,46.01,45.91,45.82,45.73,45.63,45.58,45.52 | +| blind | 40.33,40.08,39.97,39.7,39.65,39.39,39.42,39.32,39.35,39.27,39.31 | +| coffee table | 54.37,54.52,54.46,54.52,54.61,54.52,54.67,54.69,54.88,54.81,54.82 | +| toilet | 83.95,83.81,83.78,83.79,83.84,83.86,83.91,83.87,83.87,83.9,83.91 | +| flower | 39.28,39.33,39.33,39.35,39.44,39.5,39.46,39.57,39.51,39.59,39.64 | +| book | 44.54,44.56,44.62,44.5,44.6,44.62,44.67,44.58,44.75,44.59,44.58 | +| hill | 15.55,15.66,15.72,15.76,15.7,15.79,15.68,15.87,15.54,15.84,15.8 | +| bench | 43.07,43.05,43.14,43.25,43.27,43.08,43.09,42.85,43.01,42.66,42.56 | +| countertop | 55.19,55.07,54.86,54.94,54.75,54.95,54.89,54.96,55.01,55.16,55.25 | +| stove | 72.03,72.14,72.13,72.22,72.18,72.33,72.33,72.35,72.3,72.33,72.35 | +| palm | 48.45,48.53,48.57,48.54,48.62,48.67,48.65,48.7,48.6,48.67,48.64 | +| kitchen island | 45.24,45.18,45.11,45.19,45.3,45.19,45.12,45.26,45.2,45.44,45.53 | +| computer | 60.46,60.46,60.46,60.53,60.54,60.47,60.53,60.49,60.49,60.47,60.43 | +| swivel chair | 44.61,44.58,44.52,44.58,44.59,44.59,44.43,44.78,44.49,44.67,44.69 | +| boat | 72.77,72.85,72.95,73.29,73.31,73.45,73.7,73.73,73.86,74.0,74.04 | +| bar | 23.59,23.57,23.58,23.6,23.6,23.62,23.55,23.57,23.49,23.55,23.57 | +| arcade machine | 70.13,70.35,70.38,70.76,70.74,70.84,70.91,71.23,70.83,71.49,71.52 | +| hovel | 32.21,32.12,32.29,31.86,31.79,31.75,31.49,31.06,30.89,30.8,30.76 | +| bus | 79.32,79.36,79.38,79.36,79.24,79.29,79.26,79.21,79.24,79.21,79.17 | +| towel | 63.33,63.39,63.49,63.56,63.61,63.53,63.56,63.56,63.63,63.45,63.46 | +| light | 56.21,56.24,56.35,56.37,56.38,56.36,56.43,56.47,56.45,56.41,56.4 | +| truck | 18.06,18.03,18.03,17.95,17.96,18.0,18.0,18.06,17.81,17.93,17.77 | +| tower | 5.6,5.65,5.73,5.76,5.7,5.83,5.7,5.79,5.78,5.73,5.68 | +| chandelier | 64.09,64.13,64.14,64.19,64.1,64.09,64.11,64.1,64.16,64.04,64.04 | +| awning | 24.9,25.02,25.18,25.39,25.32,25.39,25.41,25.53,25.4,25.5,25.48 | +| streetlight | 26.94,27.06,27.16,27.2,27.36,27.37,27.48,27.57,27.55,27.64,27.75 | +| booth | 45.73,45.87,46.68,46.91,46.83,47.21,46.89,46.67,46.82,46.68,46.5 | +| television receiver | 64.17,64.25,64.13,64.23,64.22,64.19,64.11,64.22,64.13,64.28,64.27 | +| airplane | 59.31,59.26,59.3,59.22,59.18,59.32,59.39,59.39,59.38,59.39,59.32 | +| dirt track | 20.33,20.48,20.78,20.93,21.29,21.39,21.56,21.95,21.97,22.45,22.7 | +| apparel | 32.74,32.63,32.65,32.61,32.78,32.87,32.89,32.64,33.15,32.6,32.57 | +| pole | 19.11,19.06,19.0,18.92,18.79,18.76,18.7,18.71,18.57,18.45,18.45 | +| land | 3.44,3.44,3.48,3.44,3.44,3.39,3.45,3.43,3.5,3.39,3.39 | +| bannister | 12.66,12.65,12.62,12.73,12.66,12.82,12.83,12.77,12.82,12.78,12.76 | +| escalator | 24.28,24.41,24.36,24.42,24.42,24.51,24.56,24.59,24.62,24.7,24.72 | +| ottoman | 43.93,44.0,43.8,43.8,43.46,43.77,43.39,43.74,43.07,43.5,43.37 | +| bottle | 35.22,35.28,35.25,35.33,35.39,35.23,35.23,35.28,35.42,35.23,35.26 | +| buffet | 40.25,41.3,42.33,43.03,43.94,44.1,44.75,45.34,45.28,45.76,45.81 | +| poster | 22.32,22.44,22.47,22.57,22.59,22.43,22.74,22.44,22.88,22.52,22.5 | +| stage | 13.66,13.76,13.79,13.63,13.87,14.01,14.06,14.11,14.13,14.24,14.31 | +| van | 37.46,37.51,37.5,37.66,37.36,37.6,37.62,37.58,37.48,37.67,37.67 | +| ship | 83.89,84.06,84.01,84.4,84.32,84.41,84.49,84.4,84.61,84.43,84.48 | +| fountain | 17.49,17.49,17.63,17.71,17.97,17.88,17.85,18.04,18.17,18.22,18.16 | +| conveyer belt | 84.93,84.97,85.18,85.04,85.16,85.15,85.21,85.1,85.25,85.05,84.95 | +| canopy | 22.86,23.29,23.82,24.13,24.76,25.27,25.32,25.55,25.78,25.91,26.07 | +| washer | 76.07,76.23,76.18,76.23,76.06,75.96,76.36,76.27,76.4,76.58,76.75 | +| plaything | 21.48,21.49,21.41,21.49,21.41,21.37,21.35,21.34,21.38,21.44,21.33 | +| swimming pool | 74.28,74.29,74.5,74.43,74.66,74.89,74.61,74.66,74.95,74.76,74.78 | +| stool | 43.8,43.87,43.82,43.94,44.1,44.2,44.28,44.4,44.38,44.27,44.24 | +| barrel | 46.76,46.33,47.37,46.89,47.34,47.79,47.82,46.8,47.26,46.51,46.06 | +| basket | 24.28,24.26,24.26,24.29,24.45,24.36,24.44,24.36,24.38,24.41,24.4 | +| waterfall | 49.83,49.78,49.87,49.77,49.84,49.84,49.84,49.93,49.91,49.96,50.02 | +| tent | 94.96,95.01,94.97,95.02,95.06,95.03,95.14,95.11,95.15,95.08,95.07 | +| bag | 16.25,16.32,16.54,16.6,16.75,16.72,16.82,16.85,16.9,17.0,17.08 | +| minibike | 62.32,62.2,62.46,62.52,62.68,62.81,62.76,62.94,63.29,62.9,62.87 | +| cradle | 84.79,85.05,85.22,85.35,85.47,85.73,85.87,86.0,86.11,86.24,86.32 | +| oven | 44.55,44.63,44.76,45.05,45.04,45.06,45.12,45.29,45.47,45.71,45.79 | +| ball | 44.94,44.73,44.72,44.82,44.51,44.72,44.67,44.42,44.44,44.48,44.29 | +| food | 55.14,55.21,55.3,55.27,55.26,55.1,55.08,54.97,54.72,54.84,54.67 | +| step | 8.61,8.76,8.66,8.75,8.68,8.73,8.75,8.78,8.65,8.56,8.4 | +| tank | 51.12,51.0,51.02,50.97,50.99,50.97,50.92,50.92,50.77,50.57,50.56 | +| trade name | 28.31,28.2,28.2,28.07,28.12,28.03,28.05,28.24,27.96,28.06,28.04 | +| microwave | 70.83,71.02,71.22,71.48,71.6,71.66,71.87,72.01,72.16,72.32,72.38 | +| pot | 29.95,30.08,30.28,30.3,30.41,30.52,30.62,30.72,30.84,30.96,31.07 | +| animal | 55.26,55.26,55.28,55.29,55.24,55.31,55.28,55.3,55.23,55.36,55.31 | +| bicycle | 54.72,54.91,55.0,55.11,55.11,55.17,55.53,55.4,55.67,55.67,55.75 | +| lake | 57.4,57.44,57.38,57.4,57.38,57.39,57.37,57.37,57.32,57.31,57.3 | +| dishwasher | 64.89,64.81,64.9,64.97,64.6,64.98,64.84,64.64,65.12,64.73,64.84 | +| screen | 67.44,67.28,67.29,67.33,67.28,67.09,67.04,66.86,66.86,66.79,66.75 | +| blanket | 18.84,19.02,19.05,19.19,19.13,19.22,19.35,19.31,19.21,19.14,19.12 | +| sculpture | 57.92,57.81,57.98,57.9,58.33,58.16,58.32,58.27,58.63,58.52,58.6 | +| hood | 56.87,56.88,56.55,56.44,55.95,55.82,55.28,55.59,55.22,55.51,55.43 | +| sconce | 43.93,44.02,44.11,44.2,44.46,44.43,44.49,44.59,44.57,44.58,44.58 | +| vase | 37.44,37.58,37.48,37.55,37.55,37.63,37.68,37.69,37.68,37.76,37.75 | +| traffic light | 33.71,33.68,33.81,33.77,33.75,33.98,33.86,33.96,34.0,34.05,34.11 | +| tray | 7.41,7.43,7.47,7.36,7.46,7.39,7.29,7.35,7.37,7.26,7.23 | +| ashcan | 41.52,41.6,41.68,41.65,41.57,41.81,41.52,41.71,41.61,41.77,41.72 | +| fan | 57.77,57.7,57.7,57.59,57.59,57.49,57.63,57.67,57.68,57.65,57.71 | +| pier | 48.09,49.2,49.74,50.52,51.1,53.19,54.96,57.21,58.22,58.91,59.52 | +| crt screen | 10.07,10.21,10.17,10.24,10.29,10.24,10.4,10.27,10.44,10.31,10.33 | +| plate | 52.96,53.16,53.17,53.26,53.41,53.43,53.65,53.68,53.75,53.76,53.75 | +| monitor | 15.4,15.4,15.31,14.97,15.02,14.85,14.65,14.53,14.31,14.07,13.9 | +| bulletin board | 36.69,36.51,36.75,36.7,36.92,36.54,36.44,36.75,36.55,36.72,36.73 | +| shower | 1.17,1.28,1.26,1.38,1.32,1.34,1.39,1.32,1.32,1.33,1.35 | +| radiator | 60.55,60.81,61.45,61.71,62.5,63.09,63.2,63.32,63.49,63.62,63.67 | +| glass | 13.78,13.72,13.65,13.64,13.54,13.54,13.45,13.44,13.41,13.32,13.24 | +| clock | 35.88,36.06,36.18,35.87,36.43,36.07,36.07,36.27,36.27,36.14,36.2 | +| flag | 33.14,33.18,33.07,33.05,32.99,33.04,33.01,33.03,33.14,32.98,33.01 | ++---------------------+-------------------------------------------------------------------+ +2023-03-04 06:05:46,679 - mmseg - INFO - Summary: +2023-03-04 06:05:46,679 - mmseg - INFO - ++------------------------------------------------------------------+ +| mIoU 0,5,10,15,20,25,30,35,40,45,49 | ++------------------------------------------------------------------+ +| 48.67,48.71,48.77,48.81,48.85,48.9,48.92,48.95,48.97,48.98,48.99 | ++------------------------------------------------------------------+ +2023-03-04 06:05:46,680 - mmseg - INFO - Exp name: ablation_segformer_mit_b2_segformer_head_unet_fc_small_multi_step_ade_pretrained_freeze_embed_160k_ade20k151_finetune_ema_t50.py +2023-03-04 06:05:46,680 - mmseg - INFO - Iter(val) [250] mIoU: [0.4867, 0.4871, 0.4877, 0.4881, 0.4885, 0.489, 0.4892, 0.4895, 0.4897, 0.4898, 0.4899], copy_paste: 48.67,48.71,48.77,48.81,48.85,48.9,48.92,48.95,48.97,48.98,48.99 +2023-03-04 06:05:46,687 - mmseg - INFO - Swap parameters (before train) before iter [80001] +2023-03-04 06:05:56,673 - mmseg - INFO - Iter [80050/160000] lr: 7.500e-05, eta: 4:54:07, time: 7.247, data_time: 7.055, memory: 52540, decode.loss_ce: 0.1999, decode.acc_seg: 91.8836, loss: 0.1999 +2023-03-04 06:06:06,422 - mmseg - INFO - Iter [80100/160000] lr: 7.500e-05, eta: 4:53:55, time: 0.195, data_time: 0.008, memory: 52540, decode.loss_ce: 0.2039, decode.acc_seg: 91.6818, loss: 0.2039 +2023-03-04 06:06:18,571 - mmseg - INFO - Iter [80150/160000] lr: 7.500e-05, eta: 4:53:45, time: 0.243, data_time: 0.058, memory: 52540, decode.loss_ce: 0.1897, decode.acc_seg: 92.2763, loss: 0.1897 +2023-03-04 06:06:28,223 - mmseg - INFO - Iter [80200/160000] lr: 7.500e-05, eta: 4:53:32, time: 0.193, data_time: 0.008, memory: 52540, decode.loss_ce: 0.1914, decode.acc_seg: 92.2241, loss: 0.1914 +2023-03-04 06:06:38,123 - mmseg - INFO - Iter [80250/160000] lr: 7.500e-05, eta: 4:53:20, time: 0.198, data_time: 0.008, memory: 52540, decode.loss_ce: 0.1992, decode.acc_seg: 91.8221, loss: 0.1992 +2023-03-04 06:06:47,831 - mmseg - INFO - Iter [80300/160000] lr: 7.500e-05, eta: 4:53:08, time: 0.194, data_time: 0.008, memory: 52540, decode.loss_ce: 0.1984, decode.acc_seg: 91.8860, loss: 0.1984 +2023-03-04 06:06:57,402 - mmseg - INFO - Iter [80350/160000] lr: 7.500e-05, eta: 4:52:55, time: 0.191, data_time: 0.008, memory: 52540, decode.loss_ce: 0.1953, decode.acc_seg: 92.0089, loss: 0.1953 +2023-03-04 06:07:06,824 - mmseg - INFO - Iter [80400/160000] lr: 7.500e-05, eta: 4:52:43, time: 0.188, data_time: 0.008, memory: 52540, decode.loss_ce: 0.1979, decode.acc_seg: 91.8724, loss: 0.1979 +2023-03-04 06:07:16,494 - mmseg - INFO - Iter [80450/160000] lr: 7.500e-05, eta: 4:52:30, time: 0.193, data_time: 0.008, memory: 52540, decode.loss_ce: 0.1926, decode.acc_seg: 92.0651, loss: 0.1926 +2023-03-04 06:07:26,152 - mmseg - INFO - Iter [80500/160000] lr: 7.500e-05, eta: 4:52:18, time: 0.193, data_time: 0.008, memory: 52540, decode.loss_ce: 0.1901, decode.acc_seg: 92.1880, loss: 0.1901 +2023-03-04 06:07:35,640 - mmseg - INFO - Iter [80550/160000] lr: 7.500e-05, eta: 4:52:05, time: 0.190, data_time: 0.008, memory: 52540, decode.loss_ce: 0.1911, decode.acc_seg: 92.3164, loss: 0.1911 +2023-03-04 06:07:45,119 - mmseg - INFO - Iter [80600/160000] lr: 7.500e-05, eta: 4:51:53, time: 0.190, data_time: 0.008, memory: 52540, decode.loss_ce: 0.1910, decode.acc_seg: 92.1085, loss: 0.1910 +2023-03-04 06:07:54,923 - mmseg - INFO - Iter [80650/160000] lr: 7.500e-05, eta: 4:51:40, time: 0.196, data_time: 0.008, memory: 52540, decode.loss_ce: 0.1928, decode.acc_seg: 92.0268, loss: 0.1928 +2023-03-04 06:08:04,730 - mmseg - INFO - Iter [80700/160000] lr: 7.500e-05, eta: 4:51:28, time: 0.196, data_time: 0.008, memory: 52540, decode.loss_ce: 0.1913, decode.acc_seg: 92.0127, loss: 0.1913 +2023-03-04 06:08:14,351 - mmseg - INFO - Iter [80750/160000] lr: 7.500e-05, eta: 4:51:16, time: 0.192, data_time: 0.008, memory: 52540, decode.loss_ce: 0.1907, decode.acc_seg: 92.0301, loss: 0.1907 +2023-03-04 06:08:26,289 - mmseg - INFO - Iter [80800/160000] lr: 7.500e-05, eta: 4:51:06, time: 0.239, data_time: 0.054, memory: 52540, decode.loss_ce: 0.1859, decode.acc_seg: 92.3189, loss: 0.1859 +2023-03-04 06:08:36,336 - mmseg - INFO - Iter [80850/160000] lr: 7.500e-05, eta: 4:50:54, time: 0.201, data_time: 0.008, memory: 52540, decode.loss_ce: 0.1947, decode.acc_seg: 91.9496, loss: 0.1947 +2023-03-04 06:08:46,019 - mmseg - INFO - Iter [80900/160000] lr: 7.500e-05, eta: 4:50:41, time: 0.194, data_time: 0.008, memory: 52540, decode.loss_ce: 0.1929, decode.acc_seg: 92.1619, loss: 0.1929 +2023-03-04 06:08:55,714 - mmseg - INFO - Iter [80950/160000] lr: 7.500e-05, eta: 4:50:29, time: 0.194, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1993, decode.acc_seg: 91.9912, loss: 0.1993 +2023-03-04 06:09:05,709 - mmseg - INFO - Exp name: ablation_segformer_mit_b2_segformer_head_unet_fc_small_multi_step_ade_pretrained_freeze_embed_160k_ade20k151_finetune_ema_t50.py +2023-03-04 06:09:05,709 - mmseg - INFO - Iter [81000/160000] lr: 7.500e-05, eta: 4:50:17, time: 0.200, data_time: 0.008, memory: 52540, decode.loss_ce: 0.1976, decode.acc_seg: 91.8927, loss: 0.1976 +2023-03-04 06:09:15,587 - mmseg - INFO - Iter [81050/160000] lr: 7.500e-05, eta: 4:50:05, time: 0.198, data_time: 0.007, memory: 52540, decode.loss_ce: 0.2024, decode.acc_seg: 91.7251, loss: 0.2024 +2023-03-04 06:09:25,116 - mmseg - INFO - Iter [81100/160000] lr: 7.500e-05, eta: 4:49:52, time: 0.191, data_time: 0.008, memory: 52540, decode.loss_ce: 0.1968, decode.acc_seg: 91.9061, loss: 0.1968 +2023-03-04 06:09:34,701 - mmseg - INFO - Iter [81150/160000] lr: 7.500e-05, eta: 4:49:40, time: 0.192, data_time: 0.008, memory: 52540, decode.loss_ce: 0.1896, decode.acc_seg: 92.0894, loss: 0.1896 +2023-03-04 06:09:44,256 - mmseg - INFO - Iter [81200/160000] lr: 7.500e-05, eta: 4:49:28, time: 0.191, data_time: 0.008, memory: 52540, decode.loss_ce: 0.1969, decode.acc_seg: 91.9797, loss: 0.1969 +2023-03-04 06:09:53,733 - mmseg - INFO - Iter [81250/160000] lr: 7.500e-05, eta: 4:49:15, time: 0.190, data_time: 0.008, memory: 52540, decode.loss_ce: 0.1924, decode.acc_seg: 92.1919, loss: 0.1924 +2023-03-04 06:10:03,247 - mmseg - INFO - Iter [81300/160000] lr: 7.500e-05, eta: 4:49:03, time: 0.190, data_time: 0.008, memory: 52540, decode.loss_ce: 0.1957, decode.acc_seg: 91.9916, loss: 0.1957 +2023-03-04 06:10:12,973 - mmseg - INFO - Iter [81350/160000] lr: 7.500e-05, eta: 4:48:50, time: 0.195, data_time: 0.008, memory: 52540, decode.loss_ce: 0.1960, decode.acc_seg: 91.9234, loss: 0.1960 +2023-03-04 06:10:25,109 - mmseg - INFO - Iter [81400/160000] lr: 7.500e-05, eta: 4:48:40, time: 0.243, data_time: 0.052, memory: 52540, decode.loss_ce: 0.1884, decode.acc_seg: 92.1983, loss: 0.1884 +2023-03-04 06:10:34,783 - mmseg - INFO - Iter [81450/160000] lr: 7.500e-05, eta: 4:48:28, time: 0.193, data_time: 0.008, memory: 52540, decode.loss_ce: 0.2023, decode.acc_seg: 91.7171, loss: 0.2023 +2023-03-04 06:10:44,344 - mmseg - INFO - Iter [81500/160000] lr: 7.500e-05, eta: 4:48:16, time: 0.191, data_time: 0.008, memory: 52540, decode.loss_ce: 0.1970, decode.acc_seg: 91.8959, loss: 0.1970 +2023-03-04 06:10:53,887 - mmseg - INFO - Iter [81550/160000] lr: 7.500e-05, eta: 4:48:03, time: 0.191, data_time: 0.008, memory: 52540, decode.loss_ce: 0.1964, decode.acc_seg: 91.9459, loss: 0.1964 +2023-03-04 06:11:03,483 - mmseg - INFO - Iter [81600/160000] lr: 7.500e-05, eta: 4:47:51, time: 0.192, data_time: 0.008, memory: 52540, decode.loss_ce: 0.1972, decode.acc_seg: 91.9528, loss: 0.1972 +2023-03-04 06:11:13,133 - mmseg - INFO - Iter [81650/160000] lr: 7.500e-05, eta: 4:47:38, time: 0.193, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1947, decode.acc_seg: 92.0866, loss: 0.1947 +2023-03-04 06:11:22,837 - mmseg - INFO - Iter [81700/160000] lr: 7.500e-05, eta: 4:47:26, time: 0.194, data_time: 0.008, memory: 52540, decode.loss_ce: 0.1907, decode.acc_seg: 92.1941, loss: 0.1907 +2023-03-04 06:11:32,272 - mmseg - INFO - Iter [81750/160000] lr: 7.500e-05, eta: 4:47:14, time: 0.189, data_time: 0.008, memory: 52540, decode.loss_ce: 0.1892, decode.acc_seg: 92.3284, loss: 0.1892 +2023-03-04 06:11:41,998 - mmseg - INFO - Iter [81800/160000] lr: 7.500e-05, eta: 4:47:01, time: 0.195, data_time: 0.008, memory: 52540, decode.loss_ce: 0.1987, decode.acc_seg: 91.9103, loss: 0.1987 +2023-03-04 06:11:51,501 - mmseg - INFO - Iter [81850/160000] lr: 7.500e-05, eta: 4:46:49, time: 0.190, data_time: 0.008, memory: 52540, decode.loss_ce: 0.1984, decode.acc_seg: 91.8370, loss: 0.1984 +2023-03-04 06:12:01,223 - mmseg - INFO - Iter [81900/160000] lr: 7.500e-05, eta: 4:46:37, time: 0.194, data_time: 0.008, memory: 52540, decode.loss_ce: 0.1922, decode.acc_seg: 92.2316, loss: 0.1922 +2023-03-04 06:12:10,807 - mmseg - INFO - Iter [81950/160000] lr: 7.500e-05, eta: 4:46:24, time: 0.192, data_time: 0.008, memory: 52540, decode.loss_ce: 0.1983, decode.acc_seg: 91.8897, loss: 0.1983 +2023-03-04 06:12:20,421 - mmseg - INFO - Exp name: ablation_segformer_mit_b2_segformer_head_unet_fc_small_multi_step_ade_pretrained_freeze_embed_160k_ade20k151_finetune_ema_t50.py +2023-03-04 06:12:20,421 - mmseg - INFO - Iter [82000/160000] lr: 7.500e-05, eta: 4:46:12, time: 0.192, data_time: 0.008, memory: 52540, decode.loss_ce: 0.1929, decode.acc_seg: 91.9957, loss: 0.1929 +2023-03-04 06:12:32,760 - mmseg - INFO - Iter [82050/160000] lr: 7.500e-05, eta: 4:46:02, time: 0.247, data_time: 0.054, memory: 52540, decode.loss_ce: 0.1888, decode.acc_seg: 92.2150, loss: 0.1888 +2023-03-04 06:12:42,518 - mmseg - INFO - Iter [82100/160000] lr: 7.500e-05, eta: 4:45:50, time: 0.195, data_time: 0.008, memory: 52540, decode.loss_ce: 0.2001, decode.acc_seg: 91.7606, loss: 0.2001 +2023-03-04 06:12:52,017 - mmseg - INFO - Iter [82150/160000] lr: 7.500e-05, eta: 4:45:38, time: 0.190, data_time: 0.008, memory: 52540, decode.loss_ce: 0.1993, decode.acc_seg: 91.8429, loss: 0.1993 +2023-03-04 06:13:01,565 - mmseg - INFO - Iter [82200/160000] lr: 7.500e-05, eta: 4:45:25, time: 0.191, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1988, decode.acc_seg: 91.7923, loss: 0.1988 +2023-03-04 06:13:11,061 - mmseg - INFO - Iter [82250/160000] lr: 7.500e-05, eta: 4:45:13, time: 0.190, data_time: 0.008, memory: 52540, decode.loss_ce: 0.1887, decode.acc_seg: 92.1704, loss: 0.1887 +2023-03-04 06:13:20,621 - mmseg - INFO - Iter [82300/160000] lr: 7.500e-05, eta: 4:45:00, time: 0.191, data_time: 0.008, memory: 52540, decode.loss_ce: 0.1958, decode.acc_seg: 92.0123, loss: 0.1958 +2023-03-04 06:13:30,468 - mmseg - INFO - Iter [82350/160000] lr: 7.500e-05, eta: 4:44:48, time: 0.197, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1927, decode.acc_seg: 92.0976, loss: 0.1927 +2023-03-04 06:13:40,245 - mmseg - INFO - Iter [82400/160000] lr: 7.500e-05, eta: 4:44:36, time: 0.195, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1906, decode.acc_seg: 92.2252, loss: 0.1906 +2023-03-04 06:13:50,173 - mmseg - INFO - Iter [82450/160000] lr: 7.500e-05, eta: 4:44:24, time: 0.199, data_time: 0.008, memory: 52540, decode.loss_ce: 0.1927, decode.acc_seg: 92.0287, loss: 0.1927 +2023-03-04 06:13:59,967 - mmseg - INFO - Iter [82500/160000] lr: 7.500e-05, eta: 4:44:12, time: 0.196, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1964, decode.acc_seg: 91.9502, loss: 0.1964 +2023-03-04 06:14:09,654 - mmseg - INFO - Iter [82550/160000] lr: 7.500e-05, eta: 4:44:00, time: 0.194, data_time: 0.008, memory: 52540, decode.loss_ce: 0.1948, decode.acc_seg: 91.9852, loss: 0.1948 +2023-03-04 06:14:19,263 - mmseg - INFO - Iter [82600/160000] lr: 7.500e-05, eta: 4:43:48, time: 0.192, data_time: 0.008, memory: 52540, decode.loss_ce: 0.1946, decode.acc_seg: 91.9100, loss: 0.1946 +2023-03-04 06:14:29,045 - mmseg - INFO - Iter [82650/160000] lr: 7.500e-05, eta: 4:43:35, time: 0.196, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1943, decode.acc_seg: 92.0102, loss: 0.1943 +2023-03-04 06:14:41,082 - mmseg - INFO - Iter [82700/160000] lr: 7.500e-05, eta: 4:43:25, time: 0.241, data_time: 0.058, memory: 52540, decode.loss_ce: 0.1942, decode.acc_seg: 91.9601, loss: 0.1942 +2023-03-04 06:14:50,614 - mmseg - INFO - Iter [82750/160000] lr: 7.500e-05, eta: 4:43:13, time: 0.191, data_time: 0.008, memory: 52540, decode.loss_ce: 0.1947, decode.acc_seg: 92.0765, loss: 0.1947 +2023-03-04 06:15:00,043 - mmseg - INFO - Iter [82800/160000] lr: 7.500e-05, eta: 4:43:01, time: 0.189, data_time: 0.008, memory: 52540, decode.loss_ce: 0.1873, decode.acc_seg: 92.1993, loss: 0.1873 +2023-03-04 06:15:09,855 - mmseg - INFO - Iter [82850/160000] lr: 7.500e-05, eta: 4:42:48, time: 0.196, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1853, decode.acc_seg: 92.1981, loss: 0.1853 +2023-03-04 06:15:19,421 - mmseg - INFO - Iter [82900/160000] lr: 7.500e-05, eta: 4:42:36, time: 0.191, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1925, decode.acc_seg: 92.0952, loss: 0.1925 +2023-03-04 06:15:28,987 - mmseg - INFO - Iter [82950/160000] lr: 7.500e-05, eta: 4:42:24, time: 0.191, data_time: 0.008, memory: 52540, decode.loss_ce: 0.1878, decode.acc_seg: 92.3132, loss: 0.1878 +2023-03-04 06:15:38,821 - mmseg - INFO - Exp name: ablation_segformer_mit_b2_segformer_head_unet_fc_small_multi_step_ade_pretrained_freeze_embed_160k_ade20k151_finetune_ema_t50.py +2023-03-04 06:15:38,821 - mmseg - INFO - Iter [83000/160000] lr: 7.500e-05, eta: 4:42:12, time: 0.197, data_time: 0.008, memory: 52540, decode.loss_ce: 0.1977, decode.acc_seg: 91.8912, loss: 0.1977 +2023-03-04 06:15:48,374 - mmseg - INFO - Iter [83050/160000] lr: 7.500e-05, eta: 4:41:59, time: 0.191, data_time: 0.008, memory: 52540, decode.loss_ce: 0.1944, decode.acc_seg: 92.1115, loss: 0.1944 +2023-03-04 06:15:57,892 - mmseg - INFO - Iter [83100/160000] lr: 7.500e-05, eta: 4:41:47, time: 0.190, data_time: 0.008, memory: 52540, decode.loss_ce: 0.1926, decode.acc_seg: 92.1896, loss: 0.1926 +2023-03-04 06:16:07,691 - mmseg - INFO - Iter [83150/160000] lr: 7.500e-05, eta: 4:41:35, time: 0.196, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1997, decode.acc_seg: 91.7368, loss: 0.1997 +2023-03-04 06:16:17,168 - mmseg - INFO - Iter [83200/160000] lr: 7.500e-05, eta: 4:41:23, time: 0.190, data_time: 0.008, memory: 52540, decode.loss_ce: 0.1952, decode.acc_seg: 91.9610, loss: 0.1952 +2023-03-04 06:16:26,660 - mmseg - INFO - Iter [83250/160000] lr: 7.500e-05, eta: 4:41:10, time: 0.190, data_time: 0.008, memory: 52540, decode.loss_ce: 0.1917, decode.acc_seg: 92.0740, loss: 0.1917 +2023-03-04 06:16:38,906 - mmseg - INFO - Iter [83300/160000] lr: 7.500e-05, eta: 4:41:00, time: 0.245, data_time: 0.056, memory: 52540, decode.loss_ce: 0.1958, decode.acc_seg: 92.0667, loss: 0.1958 +2023-03-04 06:16:48,650 - mmseg - INFO - Iter [83350/160000] lr: 7.500e-05, eta: 4:40:48, time: 0.195, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1946, decode.acc_seg: 92.0470, loss: 0.1946 +2023-03-04 06:16:58,195 - mmseg - INFO - Iter [83400/160000] lr: 7.500e-05, eta: 4:40:36, time: 0.191, data_time: 0.008, memory: 52540, decode.loss_ce: 0.1978, decode.acc_seg: 92.0680, loss: 0.1978 +2023-03-04 06:17:07,888 - mmseg - INFO - Iter [83450/160000] lr: 7.500e-05, eta: 4:40:24, time: 0.194, data_time: 0.008, memory: 52540, decode.loss_ce: 0.1928, decode.acc_seg: 92.0173, loss: 0.1928 +2023-03-04 06:17:17,500 - mmseg - INFO - Iter [83500/160000] lr: 7.500e-05, eta: 4:40:11, time: 0.192, data_time: 0.007, memory: 52540, decode.loss_ce: 0.2045, decode.acc_seg: 91.7903, loss: 0.2045 +2023-03-04 06:17:27,134 - mmseg - INFO - Iter [83550/160000] lr: 7.500e-05, eta: 4:39:59, time: 0.193, data_time: 0.008, memory: 52540, decode.loss_ce: 0.1952, decode.acc_seg: 91.9359, loss: 0.1952 +2023-03-04 06:17:36,594 - mmseg - INFO - Iter [83600/160000] lr: 7.500e-05, eta: 4:39:47, time: 0.189, data_time: 0.008, memory: 52540, decode.loss_ce: 0.2026, decode.acc_seg: 91.7852, loss: 0.2026 +2023-03-04 06:17:46,201 - mmseg - INFO - Iter [83650/160000] lr: 7.500e-05, eta: 4:39:35, time: 0.192, data_time: 0.008, memory: 52540, decode.loss_ce: 0.2028, decode.acc_seg: 91.7616, loss: 0.2028 +2023-03-04 06:17:55,814 - mmseg - INFO - Iter [83700/160000] lr: 7.500e-05, eta: 4:39:22, time: 0.192, data_time: 0.008, memory: 52540, decode.loss_ce: 0.1930, decode.acc_seg: 92.1710, loss: 0.1930 +2023-03-04 06:18:05,225 - mmseg - INFO - Iter [83750/160000] lr: 7.500e-05, eta: 4:39:10, time: 0.188, data_time: 0.008, memory: 52540, decode.loss_ce: 0.1990, decode.acc_seg: 91.8246, loss: 0.1990 +2023-03-04 06:18:15,018 - mmseg - INFO - Iter [83800/160000] lr: 7.500e-05, eta: 4:38:58, time: 0.196, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1850, decode.acc_seg: 92.2859, loss: 0.1850 +2023-03-04 06:18:24,582 - mmseg - INFO - Iter [83850/160000] lr: 7.500e-05, eta: 4:38:46, time: 0.191, data_time: 0.008, memory: 52540, decode.loss_ce: 0.1923, decode.acc_seg: 92.1077, loss: 0.1923 +2023-03-04 06:18:34,181 - mmseg - INFO - Iter [83900/160000] lr: 7.500e-05, eta: 4:38:33, time: 0.192, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1938, decode.acc_seg: 92.2489, loss: 0.1938 +2023-03-04 06:18:46,112 - mmseg - INFO - Iter [83950/160000] lr: 7.500e-05, eta: 4:38:23, time: 0.239, data_time: 0.055, memory: 52540, decode.loss_ce: 0.1927, decode.acc_seg: 92.2113, loss: 0.1927 +2023-03-04 06:18:55,630 - mmseg - INFO - Exp name: ablation_segformer_mit_b2_segformer_head_unet_fc_small_multi_step_ade_pretrained_freeze_embed_160k_ade20k151_finetune_ema_t50.py +2023-03-04 06:18:55,630 - mmseg - INFO - Iter [84000/160000] lr: 7.500e-05, eta: 4:38:11, time: 0.190, data_time: 0.008, memory: 52540, decode.loss_ce: 0.1910, decode.acc_seg: 92.3276, loss: 0.1910 +2023-03-04 06:19:05,424 - mmseg - INFO - Iter [84050/160000] lr: 7.500e-05, eta: 4:37:59, time: 0.196, data_time: 0.008, memory: 52540, decode.loss_ce: 0.1999, decode.acc_seg: 91.8949, loss: 0.1999 +2023-03-04 06:19:15,260 - mmseg - INFO - Iter [84100/160000] lr: 7.500e-05, eta: 4:37:47, time: 0.197, data_time: 0.008, memory: 52540, decode.loss_ce: 0.1880, decode.acc_seg: 92.2223, loss: 0.1880 +2023-03-04 06:19:24,636 - mmseg - INFO - Iter [84150/160000] lr: 7.500e-05, eta: 4:37:34, time: 0.188, data_time: 0.008, memory: 52540, decode.loss_ce: 0.1939, decode.acc_seg: 92.0792, loss: 0.1939 +2023-03-04 06:19:34,313 - mmseg - INFO - Iter [84200/160000] lr: 7.500e-05, eta: 4:37:22, time: 0.194, data_time: 0.008, memory: 52540, decode.loss_ce: 0.1924, decode.acc_seg: 92.0628, loss: 0.1924 +2023-03-04 06:19:43,770 - mmseg - INFO - Iter [84250/160000] lr: 7.500e-05, eta: 4:37:10, time: 0.189, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1979, decode.acc_seg: 91.9781, loss: 0.1979 +2023-03-04 06:19:53,563 - mmseg - INFO - Iter [84300/160000] lr: 7.500e-05, eta: 4:36:58, time: 0.196, data_time: 0.008, memory: 52540, decode.loss_ce: 0.2073, decode.acc_seg: 91.5151, loss: 0.2073 +2023-03-04 06:20:03,471 - mmseg - INFO - Iter [84350/160000] lr: 7.500e-05, eta: 4:36:46, time: 0.198, data_time: 0.008, memory: 52540, decode.loss_ce: 0.1925, decode.acc_seg: 91.9595, loss: 0.1925 +2023-03-04 06:20:13,177 - mmseg - INFO - Iter [84400/160000] lr: 7.500e-05, eta: 4:36:34, time: 0.194, data_time: 0.008, memory: 52540, decode.loss_ce: 0.1927, decode.acc_seg: 91.9823, loss: 0.1927 +2023-03-04 06:20:23,004 - mmseg - INFO - Iter [84450/160000] lr: 7.500e-05, eta: 4:36:22, time: 0.197, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1988, decode.acc_seg: 91.9042, loss: 0.1988 +2023-03-04 06:20:32,413 - mmseg - INFO - Iter [84500/160000] lr: 7.500e-05, eta: 4:36:09, time: 0.188, data_time: 0.008, memory: 52540, decode.loss_ce: 0.1933, decode.acc_seg: 92.1180, loss: 0.1933 +2023-03-04 06:20:41,965 - mmseg - INFO - Iter [84550/160000] lr: 7.500e-05, eta: 4:35:57, time: 0.191, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1953, decode.acc_seg: 92.0431, loss: 0.1953 +2023-03-04 06:20:54,224 - mmseg - INFO - Iter [84600/160000] lr: 7.500e-05, eta: 4:35:47, time: 0.245, data_time: 0.058, memory: 52540, decode.loss_ce: 0.1851, decode.acc_seg: 92.4322, loss: 0.1851 +2023-03-04 06:21:03,822 - mmseg - INFO - Iter [84650/160000] lr: 7.500e-05, eta: 4:35:35, time: 0.192, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1971, decode.acc_seg: 91.9910, loss: 0.1971 +2023-03-04 06:21:13,323 - mmseg - INFO - Iter [84700/160000] lr: 7.500e-05, eta: 4:35:23, time: 0.190, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1876, decode.acc_seg: 92.2472, loss: 0.1876 +2023-03-04 06:21:22,719 - mmseg - INFO - Iter [84750/160000] lr: 7.500e-05, eta: 4:35:11, time: 0.188, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1922, decode.acc_seg: 92.1251, loss: 0.1922 +2023-03-04 06:21:32,288 - mmseg - INFO - Iter [84800/160000] lr: 7.500e-05, eta: 4:34:58, time: 0.191, data_time: 0.008, memory: 52540, decode.loss_ce: 0.1945, decode.acc_seg: 91.9422, loss: 0.1945 +2023-03-04 06:21:42,046 - mmseg - INFO - Iter [84850/160000] lr: 7.500e-05, eta: 4:34:46, time: 0.195, data_time: 0.008, memory: 52540, decode.loss_ce: 0.1949, decode.acc_seg: 91.9143, loss: 0.1949 +2023-03-04 06:21:51,596 - mmseg - INFO - Iter [84900/160000] lr: 7.500e-05, eta: 4:34:34, time: 0.191, data_time: 0.008, memory: 52540, decode.loss_ce: 0.1910, decode.acc_seg: 92.1408, loss: 0.1910 +2023-03-04 06:22:01,225 - mmseg - INFO - Iter [84950/160000] lr: 7.500e-05, eta: 4:34:22, time: 0.193, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1913, decode.acc_seg: 92.0778, loss: 0.1913 +2023-03-04 06:22:10,747 - mmseg - INFO - Exp name: ablation_segformer_mit_b2_segformer_head_unet_fc_small_multi_step_ade_pretrained_freeze_embed_160k_ade20k151_finetune_ema_t50.py +2023-03-04 06:22:10,747 - mmseg - INFO - Iter [85000/160000] lr: 7.500e-05, eta: 4:34:10, time: 0.190, data_time: 0.008, memory: 52540, decode.loss_ce: 0.1922, decode.acc_seg: 92.1490, loss: 0.1922 +2023-03-04 06:22:20,248 - mmseg - INFO - Iter [85050/160000] lr: 7.500e-05, eta: 4:33:57, time: 0.190, data_time: 0.008, memory: 52540, decode.loss_ce: 0.1913, decode.acc_seg: 92.0806, loss: 0.1913 +2023-03-04 06:22:29,994 - mmseg - INFO - Iter [85100/160000] lr: 7.500e-05, eta: 4:33:45, time: 0.195, data_time: 0.008, memory: 52540, decode.loss_ce: 0.1966, decode.acc_seg: 91.9167, loss: 0.1966 +2023-03-04 06:22:39,550 - mmseg - INFO - Iter [85150/160000] lr: 7.500e-05, eta: 4:33:33, time: 0.191, data_time: 0.008, memory: 52540, decode.loss_ce: 0.2016, decode.acc_seg: 91.9525, loss: 0.2016 +2023-03-04 06:22:51,537 - mmseg - INFO - Iter [85200/160000] lr: 7.500e-05, eta: 4:33:23, time: 0.240, data_time: 0.058, memory: 52540, decode.loss_ce: 0.2036, decode.acc_seg: 91.6991, loss: 0.2036 +2023-03-04 06:23:01,011 - mmseg - INFO - Iter [85250/160000] lr: 7.500e-05, eta: 4:33:11, time: 0.189, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1896, decode.acc_seg: 92.2399, loss: 0.1896 +2023-03-04 06:23:10,669 - mmseg - INFO - Iter [85300/160000] lr: 7.500e-05, eta: 4:32:59, time: 0.193, data_time: 0.008, memory: 52540, decode.loss_ce: 0.2009, decode.acc_seg: 91.8040, loss: 0.2009 +2023-03-04 06:23:20,186 - mmseg - INFO - Iter [85350/160000] lr: 7.500e-05, eta: 4:32:46, time: 0.190, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1923, decode.acc_seg: 92.1965, loss: 0.1923 +2023-03-04 06:23:29,754 - mmseg - INFO - Iter [85400/160000] lr: 7.500e-05, eta: 4:32:34, time: 0.191, data_time: 0.008, memory: 52540, decode.loss_ce: 0.1929, decode.acc_seg: 92.1159, loss: 0.1929 +2023-03-04 06:23:39,457 - mmseg - INFO - Iter [85450/160000] lr: 7.500e-05, eta: 4:32:22, time: 0.194, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1939, decode.acc_seg: 92.0032, loss: 0.1939 +2023-03-04 06:23:48,899 - mmseg - INFO - Iter [85500/160000] lr: 7.500e-05, eta: 4:32:10, time: 0.189, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1835, decode.acc_seg: 92.3995, loss: 0.1835 +2023-03-04 06:23:58,853 - mmseg - INFO - Iter [85550/160000] lr: 7.500e-05, eta: 4:31:58, time: 0.199, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1912, decode.acc_seg: 92.0964, loss: 0.1912 +2023-03-04 06:24:08,397 - mmseg - INFO - Iter [85600/160000] lr: 7.500e-05, eta: 4:31:46, time: 0.191, data_time: 0.008, memory: 52540, decode.loss_ce: 0.1994, decode.acc_seg: 91.7897, loss: 0.1994 +2023-03-04 06:24:18,010 - mmseg - INFO - Iter [85650/160000] lr: 7.500e-05, eta: 4:31:34, time: 0.192, data_time: 0.008, memory: 52540, decode.loss_ce: 0.1941, decode.acc_seg: 91.9552, loss: 0.1941 +2023-03-04 06:24:27,568 - mmseg - INFO - Iter [85700/160000] lr: 7.500e-05, eta: 4:31:22, time: 0.191, data_time: 0.008, memory: 52540, decode.loss_ce: 0.1998, decode.acc_seg: 91.8641, loss: 0.1998 +2023-03-04 06:24:37,225 - mmseg - INFO - Iter [85750/160000] lr: 7.500e-05, eta: 4:31:10, time: 0.193, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1925, decode.acc_seg: 91.9634, loss: 0.1925 +2023-03-04 06:24:46,642 - mmseg - INFO - Iter [85800/160000] lr: 7.500e-05, eta: 4:30:57, time: 0.188, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1887, decode.acc_seg: 92.2584, loss: 0.1887 +2023-03-04 06:24:58,915 - mmseg - INFO - Iter [85850/160000] lr: 7.500e-05, eta: 4:30:47, time: 0.245, data_time: 0.053, memory: 52540, decode.loss_ce: 0.1972, decode.acc_seg: 92.0646, loss: 0.1972 +2023-03-04 06:25:08,431 - mmseg - INFO - Iter [85900/160000] lr: 7.500e-05, eta: 4:30:35, time: 0.190, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1910, decode.acc_seg: 92.0313, loss: 0.1910 +2023-03-04 06:25:18,049 - mmseg - INFO - Iter [85950/160000] lr: 7.500e-05, eta: 4:30:23, time: 0.192, data_time: 0.008, memory: 52540, decode.loss_ce: 0.1973, decode.acc_seg: 92.0137, loss: 0.1973 +2023-03-04 06:25:27,627 - mmseg - INFO - Exp name: ablation_segformer_mit_b2_segformer_head_unet_fc_small_multi_step_ade_pretrained_freeze_embed_160k_ade20k151_finetune_ema_t50.py +2023-03-04 06:25:27,627 - mmseg - INFO - Iter [86000/160000] lr: 7.500e-05, eta: 4:30:11, time: 0.192, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1934, decode.acc_seg: 92.0230, loss: 0.1934 +2023-03-04 06:25:37,182 - mmseg - INFO - Iter [86050/160000] lr: 7.500e-05, eta: 4:29:59, time: 0.191, data_time: 0.008, memory: 52540, decode.loss_ce: 0.1868, decode.acc_seg: 92.4082, loss: 0.1868 +2023-03-04 06:25:46,842 - mmseg - INFO - Iter [86100/160000] lr: 7.500e-05, eta: 4:29:47, time: 0.193, data_time: 0.008, memory: 52540, decode.loss_ce: 0.1941, decode.acc_seg: 91.9294, loss: 0.1941 +2023-03-04 06:25:57,039 - mmseg - INFO - Iter [86150/160000] lr: 7.500e-05, eta: 4:29:35, time: 0.204, data_time: 0.008, memory: 52540, decode.loss_ce: 0.1968, decode.acc_seg: 92.0242, loss: 0.1968 +2023-03-04 06:26:06,677 - mmseg - INFO - Iter [86200/160000] lr: 7.500e-05, eta: 4:29:23, time: 0.193, data_time: 0.008, memory: 52540, decode.loss_ce: 0.1947, decode.acc_seg: 91.9342, loss: 0.1947 +2023-03-04 06:26:16,649 - mmseg - INFO - Iter [86250/160000] lr: 7.500e-05, eta: 4:29:11, time: 0.199, data_time: 0.008, memory: 52540, decode.loss_ce: 0.1899, decode.acc_seg: 92.0690, loss: 0.1899 +2023-03-04 06:26:26,387 - mmseg - INFO - Iter [86300/160000] lr: 7.500e-05, eta: 4:28:59, time: 0.195, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1926, decode.acc_seg: 92.1187, loss: 0.1926 +2023-03-04 06:26:36,220 - mmseg - INFO - Iter [86350/160000] lr: 7.500e-05, eta: 4:28:47, time: 0.197, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1991, decode.acc_seg: 91.9381, loss: 0.1991 +2023-03-04 06:26:45,804 - mmseg - INFO - Iter [86400/160000] lr: 7.500e-05, eta: 4:28:35, time: 0.192, data_time: 0.008, memory: 52540, decode.loss_ce: 0.2042, decode.acc_seg: 91.6158, loss: 0.2042 +2023-03-04 06:26:57,723 - mmseg - INFO - Iter [86450/160000] lr: 7.500e-05, eta: 4:28:25, time: 0.238, data_time: 0.056, memory: 52540, decode.loss_ce: 0.1947, decode.acc_seg: 91.9970, loss: 0.1947 +2023-03-04 06:27:08,116 - mmseg - INFO - Iter [86500/160000] lr: 7.500e-05, eta: 4:28:14, time: 0.208, data_time: 0.008, memory: 52540, decode.loss_ce: 0.1891, decode.acc_seg: 92.2626, loss: 0.1891 +2023-03-04 06:27:18,201 - mmseg - INFO - Iter [86550/160000] lr: 7.500e-05, eta: 4:28:02, time: 0.202, data_time: 0.008, memory: 52540, decode.loss_ce: 0.1951, decode.acc_seg: 91.9910, loss: 0.1951 +2023-03-04 06:27:28,093 - mmseg - INFO - Iter [86600/160000] lr: 7.500e-05, eta: 4:27:50, time: 0.198, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1981, decode.acc_seg: 91.9449, loss: 0.1981 +2023-03-04 06:27:37,779 - mmseg - INFO - Iter [86650/160000] lr: 7.500e-05, eta: 4:27:38, time: 0.194, data_time: 0.008, memory: 52540, decode.loss_ce: 0.1932, decode.acc_seg: 92.1221, loss: 0.1932 +2023-03-04 06:27:47,405 - mmseg - INFO - Iter [86700/160000] lr: 7.500e-05, eta: 4:27:26, time: 0.192, data_time: 0.008, memory: 52540, decode.loss_ce: 0.1933, decode.acc_seg: 92.1362, loss: 0.1933 +2023-03-04 06:27:56,942 - mmseg - INFO - Iter [86750/160000] lr: 7.500e-05, eta: 4:27:14, time: 0.191, data_time: 0.008, memory: 52540, decode.loss_ce: 0.1896, decode.acc_seg: 92.2515, loss: 0.1896 +2023-03-04 06:28:06,656 - mmseg - INFO - Iter [86800/160000] lr: 7.500e-05, eta: 4:27:02, time: 0.194, data_time: 0.008, memory: 52540, decode.loss_ce: 0.1931, decode.acc_seg: 92.0908, loss: 0.1931 +2023-03-04 06:28:16,303 - mmseg - INFO - Iter [86850/160000] lr: 7.500e-05, eta: 4:26:50, time: 0.193, data_time: 0.008, memory: 52540, decode.loss_ce: 0.1911, decode.acc_seg: 92.2883, loss: 0.1911 +2023-03-04 06:28:25,820 - mmseg - INFO - Iter [86900/160000] lr: 7.500e-05, eta: 4:26:38, time: 0.190, data_time: 0.008, memory: 52540, decode.loss_ce: 0.1994, decode.acc_seg: 91.9521, loss: 0.1994 +2023-03-04 06:28:35,491 - mmseg - INFO - Iter [86950/160000] lr: 7.500e-05, eta: 4:26:26, time: 0.193, data_time: 0.008, memory: 52540, decode.loss_ce: 0.1989, decode.acc_seg: 91.8354, loss: 0.1989 +2023-03-04 06:28:45,001 - mmseg - INFO - Exp name: ablation_segformer_mit_b2_segformer_head_unet_fc_small_multi_step_ade_pretrained_freeze_embed_160k_ade20k151_finetune_ema_t50.py +2023-03-04 06:28:45,001 - mmseg - INFO - Iter [87000/160000] lr: 7.500e-05, eta: 4:26:14, time: 0.190, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1977, decode.acc_seg: 92.0208, loss: 0.1977 +2023-03-04 06:28:54,664 - mmseg - INFO - Iter [87050/160000] lr: 7.500e-05, eta: 4:26:02, time: 0.194, data_time: 0.008, memory: 52540, decode.loss_ce: 0.1888, decode.acc_seg: 92.2710, loss: 0.1888 +2023-03-04 06:29:06,789 - mmseg - INFO - Iter [87100/160000] lr: 7.500e-05, eta: 4:25:52, time: 0.242, data_time: 0.052, memory: 52540, decode.loss_ce: 0.1914, decode.acc_seg: 92.2621, loss: 0.1914 +2023-03-04 06:29:16,564 - mmseg - INFO - Iter [87150/160000] lr: 7.500e-05, eta: 4:25:40, time: 0.196, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1930, decode.acc_seg: 92.1803, loss: 0.1930 +2023-03-04 06:29:26,100 - mmseg - INFO - Iter [87200/160000] lr: 7.500e-05, eta: 4:25:28, time: 0.191, data_time: 0.008, memory: 52540, decode.loss_ce: 0.1918, decode.acc_seg: 92.0707, loss: 0.1918 +2023-03-04 06:29:35,754 - mmseg - INFO - Iter [87250/160000] lr: 7.500e-05, eta: 4:25:16, time: 0.193, data_time: 0.008, memory: 52540, decode.loss_ce: 0.1915, decode.acc_seg: 92.0557, loss: 0.1915 +2023-03-04 06:29:45,306 - mmseg - INFO - Iter [87300/160000] lr: 7.500e-05, eta: 4:25:04, time: 0.191, data_time: 0.008, memory: 52540, decode.loss_ce: 0.2001, decode.acc_seg: 91.9906, loss: 0.2001 +2023-03-04 06:29:55,123 - mmseg - INFO - Iter [87350/160000] lr: 7.500e-05, eta: 4:24:52, time: 0.196, data_time: 0.008, memory: 52540, decode.loss_ce: 0.1949, decode.acc_seg: 92.1696, loss: 0.1949 +2023-03-04 06:30:04,728 - mmseg - INFO - Iter [87400/160000] lr: 7.500e-05, eta: 4:24:40, time: 0.192, data_time: 0.008, memory: 52540, decode.loss_ce: 0.1936, decode.acc_seg: 91.9469, loss: 0.1936 +2023-03-04 06:30:14,576 - mmseg - INFO - Iter [87450/160000] lr: 7.500e-05, eta: 4:24:28, time: 0.197, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1884, decode.acc_seg: 92.2026, loss: 0.1884 +2023-03-04 06:30:24,312 - mmseg - INFO - Iter [87500/160000] lr: 7.500e-05, eta: 4:24:16, time: 0.195, data_time: 0.008, memory: 52540, decode.loss_ce: 0.1936, decode.acc_seg: 91.9384, loss: 0.1936 +2023-03-04 06:30:33,726 - mmseg - INFO - Iter [87550/160000] lr: 7.500e-05, eta: 4:24:04, time: 0.188, data_time: 0.008, memory: 52540, decode.loss_ce: 0.1927, decode.acc_seg: 92.1099, loss: 0.1927 +2023-03-04 06:30:43,189 - mmseg - INFO - Iter [87600/160000] lr: 7.500e-05, eta: 4:23:52, time: 0.189, data_time: 0.008, memory: 52540, decode.loss_ce: 0.1979, decode.acc_seg: 91.9139, loss: 0.1979 +2023-03-04 06:30:52,748 - mmseg - INFO - Iter [87650/160000] lr: 7.500e-05, eta: 4:23:39, time: 0.191, data_time: 0.008, memory: 52540, decode.loss_ce: 0.1942, decode.acc_seg: 92.2461, loss: 0.1942 +2023-03-04 06:31:02,204 - mmseg - INFO - Iter [87700/160000] lr: 7.500e-05, eta: 4:23:27, time: 0.189, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1995, decode.acc_seg: 91.8560, loss: 0.1995 +2023-03-04 06:31:14,204 - mmseg - INFO - Iter [87750/160000] lr: 7.500e-05, eta: 4:23:17, time: 0.240, data_time: 0.055, memory: 52540, decode.loss_ce: 0.1849, decode.acc_seg: 92.4109, loss: 0.1849 +2023-03-04 06:31:23,796 - mmseg - INFO - Iter [87800/160000] lr: 7.500e-05, eta: 4:23:05, time: 0.192, data_time: 0.008, memory: 52540, decode.loss_ce: 0.1977, decode.acc_seg: 91.8319, loss: 0.1977 +2023-03-04 06:31:33,281 - mmseg - INFO - Iter [87850/160000] lr: 7.500e-05, eta: 4:22:53, time: 0.190, data_time: 0.008, memory: 52540, decode.loss_ce: 0.1888, decode.acc_seg: 92.2091, loss: 0.1888 +2023-03-04 06:31:43,347 - mmseg - INFO - Iter [87900/160000] lr: 7.500e-05, eta: 4:22:41, time: 0.201, data_time: 0.008, memory: 52540, decode.loss_ce: 0.1916, decode.acc_seg: 92.1558, loss: 0.1916 +2023-03-04 06:31:53,200 - mmseg - INFO - Iter [87950/160000] lr: 7.500e-05, eta: 4:22:30, time: 0.197, data_time: 0.008, memory: 52540, decode.loss_ce: 0.1926, decode.acc_seg: 92.0494, loss: 0.1926 +2023-03-04 06:32:02,828 - mmseg - INFO - Exp name: ablation_segformer_mit_b2_segformer_head_unet_fc_small_multi_step_ade_pretrained_freeze_embed_160k_ade20k151_finetune_ema_t50.py +2023-03-04 06:32:02,828 - mmseg - INFO - Iter [88000/160000] lr: 7.500e-05, eta: 4:22:18, time: 0.193, data_time: 0.008, memory: 52540, decode.loss_ce: 0.1883, decode.acc_seg: 92.1994, loss: 0.1883 +2023-03-04 06:32:12,335 - mmseg - INFO - Iter [88050/160000] lr: 7.500e-05, eta: 4:22:06, time: 0.190, data_time: 0.008, memory: 52540, decode.loss_ce: 0.1903, decode.acc_seg: 92.0903, loss: 0.1903 +2023-03-04 06:32:21,908 - mmseg - INFO - Iter [88100/160000] lr: 7.500e-05, eta: 4:21:54, time: 0.191, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1928, decode.acc_seg: 92.1106, loss: 0.1928 +2023-03-04 06:32:31,576 - mmseg - INFO - Iter [88150/160000] lr: 7.500e-05, eta: 4:21:42, time: 0.193, data_time: 0.008, memory: 52540, decode.loss_ce: 0.1865, decode.acc_seg: 92.3030, loss: 0.1865 +2023-03-04 06:32:41,078 - mmseg - INFO - Iter [88200/160000] lr: 7.500e-05, eta: 4:21:30, time: 0.190, data_time: 0.008, memory: 52540, decode.loss_ce: 0.1990, decode.acc_seg: 92.0535, loss: 0.1990 +2023-03-04 06:32:50,619 - mmseg - INFO - Iter [88250/160000] lr: 7.500e-05, eta: 4:21:17, time: 0.191, data_time: 0.007, memory: 52540, decode.loss_ce: 0.2046, decode.acc_seg: 91.7992, loss: 0.2046 +2023-03-04 06:33:00,322 - mmseg - INFO - Iter [88300/160000] lr: 7.500e-05, eta: 4:21:06, time: 0.194, data_time: 0.008, memory: 52540, decode.loss_ce: 0.1900, decode.acc_seg: 92.1662, loss: 0.1900 +2023-03-04 06:33:12,597 - mmseg - INFO - Iter [88350/160000] lr: 7.500e-05, eta: 4:20:56, time: 0.245, data_time: 0.053, memory: 52540, decode.loss_ce: 0.1947, decode.acc_seg: 91.9716, loss: 0.1947 +2023-03-04 06:33:22,344 - mmseg - INFO - Iter [88400/160000] lr: 7.500e-05, eta: 4:20:44, time: 0.195, data_time: 0.008, memory: 52540, decode.loss_ce: 0.1847, decode.acc_seg: 92.4086, loss: 0.1847 +2023-03-04 06:33:31,924 - mmseg - INFO - Iter [88450/160000] lr: 7.500e-05, eta: 4:20:32, time: 0.192, data_time: 0.008, memory: 52540, decode.loss_ce: 0.1900, decode.acc_seg: 92.3898, loss: 0.1900 +2023-03-04 06:33:41,649 - mmseg - INFO - Iter [88500/160000] lr: 7.500e-05, eta: 4:20:20, time: 0.194, data_time: 0.008, memory: 52540, decode.loss_ce: 0.1988, decode.acc_seg: 92.0624, loss: 0.1988 +2023-03-04 06:33:51,164 - mmseg - INFO - Iter [88550/160000] lr: 7.500e-05, eta: 4:20:08, time: 0.190, data_time: 0.008, memory: 52540, decode.loss_ce: 0.1953, decode.acc_seg: 92.0761, loss: 0.1953 +2023-03-04 06:34:00,665 - mmseg - INFO - Iter [88600/160000] lr: 7.500e-05, eta: 4:19:56, time: 0.190, data_time: 0.008, memory: 52540, decode.loss_ce: 0.1959, decode.acc_seg: 91.9648, loss: 0.1959 +2023-03-04 06:34:10,530 - mmseg - INFO - Iter [88650/160000] lr: 7.500e-05, eta: 4:19:44, time: 0.197, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1954, decode.acc_seg: 92.0741, loss: 0.1954 +2023-03-04 06:34:20,094 - mmseg - INFO - Iter [88700/160000] lr: 7.500e-05, eta: 4:19:32, time: 0.191, data_time: 0.008, memory: 52540, decode.loss_ce: 0.1977, decode.acc_seg: 91.9193, loss: 0.1977 +2023-03-04 06:34:29,510 - mmseg - INFO - Iter [88750/160000] lr: 7.500e-05, eta: 4:19:20, time: 0.188, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1946, decode.acc_seg: 92.1027, loss: 0.1946 +2023-03-04 06:34:39,036 - mmseg - INFO - Iter [88800/160000] lr: 7.500e-05, eta: 4:19:08, time: 0.190, data_time: 0.008, memory: 52540, decode.loss_ce: 0.1960, decode.acc_seg: 92.0148, loss: 0.1960 +2023-03-04 06:34:48,605 - mmseg - INFO - Iter [88850/160000] lr: 7.500e-05, eta: 4:18:56, time: 0.191, data_time: 0.008, memory: 52540, decode.loss_ce: 0.1924, decode.acc_seg: 92.0624, loss: 0.1924 +2023-03-04 06:34:58,173 - mmseg - INFO - Iter [88900/160000] lr: 7.500e-05, eta: 4:18:44, time: 0.191, data_time: 0.008, memory: 52540, decode.loss_ce: 0.1907, decode.acc_seg: 92.1031, loss: 0.1907 +2023-03-04 06:35:07,848 - mmseg - INFO - Iter [88950/160000] lr: 7.500e-05, eta: 4:18:32, time: 0.193, data_time: 0.008, memory: 52540, decode.loss_ce: 0.1921, decode.acc_seg: 92.0940, loss: 0.1921 +2023-03-04 06:35:19,933 - mmseg - INFO - Exp name: ablation_segformer_mit_b2_segformer_head_unet_fc_small_multi_step_ade_pretrained_freeze_embed_160k_ade20k151_finetune_ema_t50.py +2023-03-04 06:35:19,933 - mmseg - INFO - Iter [89000/160000] lr: 7.500e-05, eta: 4:18:22, time: 0.242, data_time: 0.054, memory: 52540, decode.loss_ce: 0.1978, decode.acc_seg: 92.1185, loss: 0.1978 +2023-03-04 06:35:29,562 - mmseg - INFO - Iter [89050/160000] lr: 7.500e-05, eta: 4:18:10, time: 0.193, data_time: 0.008, memory: 52540, decode.loss_ce: 0.1877, decode.acc_seg: 92.3401, loss: 0.1877 +2023-03-04 06:35:39,034 - mmseg - INFO - Iter [89100/160000] lr: 7.500e-05, eta: 4:17:58, time: 0.189, data_time: 0.008, memory: 52540, decode.loss_ce: 0.1992, decode.acc_seg: 91.9185, loss: 0.1992 +2023-03-04 06:35:48,516 - mmseg - INFO - Iter [89150/160000] lr: 7.500e-05, eta: 4:17:46, time: 0.190, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1920, decode.acc_seg: 92.1440, loss: 0.1920 +2023-03-04 06:35:58,301 - mmseg - INFO - Iter [89200/160000] lr: 7.500e-05, eta: 4:17:34, time: 0.196, data_time: 0.008, memory: 52540, decode.loss_ce: 0.1924, decode.acc_seg: 92.1829, loss: 0.1924 +2023-03-04 06:36:07,992 - mmseg - INFO - Iter [89250/160000] lr: 7.500e-05, eta: 4:17:22, time: 0.194, data_time: 0.008, memory: 52540, decode.loss_ce: 0.1899, decode.acc_seg: 92.1688, loss: 0.1899 +2023-03-04 06:36:17,874 - mmseg - INFO - Iter [89300/160000] lr: 7.500e-05, eta: 4:17:10, time: 0.198, data_time: 0.008, memory: 52540, decode.loss_ce: 0.1939, decode.acc_seg: 92.1822, loss: 0.1939 +2023-03-04 06:36:27,323 - mmseg - INFO - Iter [89350/160000] lr: 7.500e-05, eta: 4:16:58, time: 0.189, data_time: 0.008, memory: 52540, decode.loss_ce: 0.1944, decode.acc_seg: 91.9731, loss: 0.1944 +2023-03-04 06:36:37,039 - mmseg - INFO - Iter [89400/160000] lr: 7.500e-05, eta: 4:16:47, time: 0.194, data_time: 0.008, memory: 52540, decode.loss_ce: 0.1963, decode.acc_seg: 92.1578, loss: 0.1963 +2023-03-04 06:36:46,498 - mmseg - INFO - Iter [89450/160000] lr: 7.500e-05, eta: 4:16:34, time: 0.189, data_time: 0.008, memory: 52540, decode.loss_ce: 0.1932, decode.acc_seg: 92.1579, loss: 0.1932 +2023-03-04 06:36:56,027 - mmseg - INFO - Iter [89500/160000] lr: 7.500e-05, eta: 4:16:22, time: 0.191, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1905, decode.acc_seg: 92.0797, loss: 0.1905 +2023-03-04 06:37:05,492 - mmseg - INFO - Iter [89550/160000] lr: 7.500e-05, eta: 4:16:10, time: 0.189, data_time: 0.008, memory: 52540, decode.loss_ce: 0.1955, decode.acc_seg: 91.9862, loss: 0.1955 +2023-03-04 06:37:15,003 - mmseg - INFO - Iter [89600/160000] lr: 7.500e-05, eta: 4:15:58, time: 0.190, data_time: 0.008, memory: 52540, decode.loss_ce: 0.2015, decode.acc_seg: 91.8148, loss: 0.2015 +2023-03-04 06:37:27,701 - mmseg - INFO - Iter [89650/160000] lr: 7.500e-05, eta: 4:15:49, time: 0.254, data_time: 0.054, memory: 52540, decode.loss_ce: 0.1923, decode.acc_seg: 91.9988, loss: 0.1923 +2023-03-04 06:37:37,815 - mmseg - INFO - Iter [89700/160000] lr: 7.500e-05, eta: 4:15:37, time: 0.202, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1950, decode.acc_seg: 92.0494, loss: 0.1950 +2023-03-04 06:37:47,469 - mmseg - INFO - Iter [89750/160000] lr: 7.500e-05, eta: 4:15:26, time: 0.193, data_time: 0.008, memory: 52540, decode.loss_ce: 0.1909, decode.acc_seg: 92.2290, loss: 0.1909 +2023-03-04 06:37:57,030 - mmseg - INFO - Iter [89800/160000] lr: 7.500e-05, eta: 4:15:14, time: 0.191, data_time: 0.008, memory: 52540, decode.loss_ce: 0.1958, decode.acc_seg: 91.9055, loss: 0.1958 +2023-03-04 06:38:06,547 - mmseg - INFO - Iter [89850/160000] lr: 7.500e-05, eta: 4:15:02, time: 0.190, data_time: 0.008, memory: 52540, decode.loss_ce: 0.1905, decode.acc_seg: 92.1806, loss: 0.1905 +2023-03-04 06:38:16,317 - mmseg - INFO - Iter [89900/160000] lr: 7.500e-05, eta: 4:14:50, time: 0.195, data_time: 0.008, memory: 52540, decode.loss_ce: 0.1999, decode.acc_seg: 92.0190, loss: 0.1999 +2023-03-04 06:38:25,846 - mmseg - INFO - Iter [89950/160000] lr: 7.500e-05, eta: 4:14:38, time: 0.191, data_time: 0.008, memory: 52540, decode.loss_ce: 0.1951, decode.acc_seg: 92.0985, loss: 0.1951 +2023-03-04 06:38:35,447 - mmseg - INFO - Exp name: ablation_segformer_mit_b2_segformer_head_unet_fc_small_multi_step_ade_pretrained_freeze_embed_160k_ade20k151_finetune_ema_t50.py +2023-03-04 06:38:35,447 - mmseg - INFO - Iter [90000/160000] lr: 7.500e-05, eta: 4:14:26, time: 0.192, data_time: 0.008, memory: 52540, decode.loss_ce: 0.1961, decode.acc_seg: 92.0061, loss: 0.1961 +2023-03-04 06:38:45,694 - mmseg - INFO - Iter [90050/160000] lr: 7.500e-05, eta: 4:14:14, time: 0.205, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1919, decode.acc_seg: 91.9813, loss: 0.1919 +2023-03-04 06:38:55,217 - mmseg - INFO - Iter [90100/160000] lr: 7.500e-05, eta: 4:14:02, time: 0.190, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1957, decode.acc_seg: 91.9727, loss: 0.1957 +2023-03-04 06:39:04,676 - mmseg - INFO - Iter [90150/160000] lr: 7.500e-05, eta: 4:13:50, time: 0.189, data_time: 0.008, memory: 52540, decode.loss_ce: 0.1883, decode.acc_seg: 92.2761, loss: 0.1883 +2023-03-04 06:39:14,154 - mmseg - INFO - Iter [90200/160000] lr: 7.500e-05, eta: 4:13:38, time: 0.190, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1944, decode.acc_seg: 92.0455, loss: 0.1944 +2023-03-04 06:39:26,051 - mmseg - INFO - Iter [90250/160000] lr: 7.500e-05, eta: 4:13:28, time: 0.238, data_time: 0.053, memory: 52540, decode.loss_ce: 0.1988, decode.acc_seg: 91.8935, loss: 0.1988 +2023-03-04 06:39:35,504 - mmseg - INFO - Iter [90300/160000] lr: 7.500e-05, eta: 4:13:16, time: 0.189, data_time: 0.008, memory: 52540, decode.loss_ce: 0.1908, decode.acc_seg: 92.0711, loss: 0.1908 +2023-03-04 06:39:45,003 - mmseg - INFO - Iter [90350/160000] lr: 7.500e-05, eta: 4:13:04, time: 0.190, data_time: 0.008, memory: 52540, decode.loss_ce: 0.1945, decode.acc_seg: 92.0022, loss: 0.1945 +2023-03-04 06:39:54,562 - mmseg - INFO - Iter [90400/160000] lr: 7.500e-05, eta: 4:12:52, time: 0.191, data_time: 0.008, memory: 52540, decode.loss_ce: 0.1936, decode.acc_seg: 92.0327, loss: 0.1936 +2023-03-04 06:40:04,256 - mmseg - INFO - Iter [90450/160000] lr: 7.500e-05, eta: 4:12:41, time: 0.194, data_time: 0.008, memory: 52540, decode.loss_ce: 0.1904, decode.acc_seg: 92.1324, loss: 0.1904 +2023-03-04 06:40:13,911 - mmseg - INFO - Iter [90500/160000] lr: 7.500e-05, eta: 4:12:29, time: 0.193, data_time: 0.008, memory: 52540, decode.loss_ce: 0.1887, decode.acc_seg: 92.0073, loss: 0.1887 +2023-03-04 06:40:23,545 - mmseg - INFO - Iter [90550/160000] lr: 7.500e-05, eta: 4:12:17, time: 0.192, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1954, decode.acc_seg: 91.9877, loss: 0.1954 +2023-03-04 06:40:33,120 - mmseg - INFO - Iter [90600/160000] lr: 7.500e-05, eta: 4:12:05, time: 0.192, data_time: 0.008, memory: 52540, decode.loss_ce: 0.1949, decode.acc_seg: 92.0241, loss: 0.1949 +2023-03-04 06:40:42,762 - mmseg - INFO - Iter [90650/160000] lr: 7.500e-05, eta: 4:11:53, time: 0.193, data_time: 0.008, memory: 52540, decode.loss_ce: 0.1913, decode.acc_seg: 92.1221, loss: 0.1913 +2023-03-04 06:40:52,279 - mmseg - INFO - Iter [90700/160000] lr: 7.500e-05, eta: 4:11:41, time: 0.190, data_time: 0.008, memory: 52540, decode.loss_ce: 0.1939, decode.acc_seg: 92.0726, loss: 0.1939 +2023-03-04 06:41:02,158 - mmseg - INFO - Iter [90750/160000] lr: 7.500e-05, eta: 4:11:29, time: 0.198, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1896, decode.acc_seg: 92.3313, loss: 0.1896 +2023-03-04 06:41:11,630 - mmseg - INFO - Iter [90800/160000] lr: 7.500e-05, eta: 4:11:17, time: 0.189, data_time: 0.008, memory: 52540, decode.loss_ce: 0.1982, decode.acc_seg: 91.9667, loss: 0.1982 +2023-03-04 06:41:21,175 - mmseg - INFO - Iter [90850/160000] lr: 7.500e-05, eta: 4:11:06, time: 0.191, data_time: 0.008, memory: 52540, decode.loss_ce: 0.1980, decode.acc_seg: 92.0300, loss: 0.1980 +2023-03-04 06:41:33,438 - mmseg - INFO - Iter [90900/160000] lr: 7.500e-05, eta: 4:10:56, time: 0.245, data_time: 0.057, memory: 52540, decode.loss_ce: 0.1885, decode.acc_seg: 92.1986, loss: 0.1885 +2023-03-04 06:41:43,149 - mmseg - INFO - Iter [90950/160000] lr: 7.500e-05, eta: 4:10:44, time: 0.194, data_time: 0.008, memory: 52540, decode.loss_ce: 0.1962, decode.acc_seg: 92.0188, loss: 0.1962 +2023-03-04 06:41:52,765 - mmseg - INFO - Exp name: ablation_segformer_mit_b2_segformer_head_unet_fc_small_multi_step_ade_pretrained_freeze_embed_160k_ade20k151_finetune_ema_t50.py +2023-03-04 06:41:52,765 - mmseg - INFO - Iter [91000/160000] lr: 7.500e-05, eta: 4:10:32, time: 0.192, data_time: 0.008, memory: 52540, decode.loss_ce: 0.1911, decode.acc_seg: 92.2449, loss: 0.1911 +2023-03-04 06:42:02,395 - mmseg - INFO - Iter [91050/160000] lr: 7.500e-05, eta: 4:10:20, time: 0.193, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1919, decode.acc_seg: 92.2395, loss: 0.1919 +2023-03-04 06:42:12,079 - mmseg - INFO - Iter [91100/160000] lr: 7.500e-05, eta: 4:10:08, time: 0.194, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1937, decode.acc_seg: 92.0165, loss: 0.1937 +2023-03-04 06:42:21,602 - mmseg - INFO - Iter [91150/160000] lr: 7.500e-05, eta: 4:09:56, time: 0.190, data_time: 0.008, memory: 52540, decode.loss_ce: 0.1934, decode.acc_seg: 92.1660, loss: 0.1934 +2023-03-04 06:42:31,220 - mmseg - INFO - Iter [91200/160000] lr: 7.500e-05, eta: 4:09:45, time: 0.192, data_time: 0.008, memory: 52540, decode.loss_ce: 0.1883, decode.acc_seg: 92.1536, loss: 0.1883 +2023-03-04 06:42:40,738 - mmseg - INFO - Iter [91250/160000] lr: 7.500e-05, eta: 4:09:33, time: 0.190, data_time: 0.008, memory: 52540, decode.loss_ce: 0.1897, decode.acc_seg: 92.1494, loss: 0.1897 +2023-03-04 06:42:50,353 - mmseg - INFO - Iter [91300/160000] lr: 7.500e-05, eta: 4:09:21, time: 0.192, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1934, decode.acc_seg: 92.1690, loss: 0.1934 +2023-03-04 06:42:59,972 - mmseg - INFO - Iter [91350/160000] lr: 7.500e-05, eta: 4:09:09, time: 0.192, data_time: 0.008, memory: 52540, decode.loss_ce: 0.1993, decode.acc_seg: 91.8536, loss: 0.1993 +2023-03-04 06:43:09,551 - mmseg - INFO - Iter [91400/160000] lr: 7.500e-05, eta: 4:08:57, time: 0.192, data_time: 0.008, memory: 52540, decode.loss_ce: 0.1925, decode.acc_seg: 91.9344, loss: 0.1925 +2023-03-04 06:43:19,012 - mmseg - INFO - Iter [91450/160000] lr: 7.500e-05, eta: 4:08:45, time: 0.189, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1951, decode.acc_seg: 92.0633, loss: 0.1951 +2023-03-04 06:43:31,223 - mmseg - INFO - Iter [91500/160000] lr: 7.500e-05, eta: 4:08:35, time: 0.244, data_time: 0.054, memory: 52540, decode.loss_ce: 0.1856, decode.acc_seg: 92.0800, loss: 0.1856 +2023-03-04 06:43:41,057 - mmseg - INFO - Iter [91550/160000] lr: 7.500e-05, eta: 4:08:24, time: 0.197, data_time: 0.008, memory: 52540, decode.loss_ce: 0.1977, decode.acc_seg: 92.0234, loss: 0.1977 +2023-03-04 06:43:50,822 - mmseg - INFO - Iter [91600/160000] lr: 7.500e-05, eta: 4:08:12, time: 0.195, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1979, decode.acc_seg: 91.9500, loss: 0.1979 +2023-03-04 06:44:00,343 - mmseg - INFO - Iter [91650/160000] lr: 7.500e-05, eta: 4:08:00, time: 0.190, data_time: 0.008, memory: 52540, decode.loss_ce: 0.1972, decode.acc_seg: 92.1056, loss: 0.1972 +2023-03-04 06:44:09,893 - mmseg - INFO - Iter [91700/160000] lr: 7.500e-05, eta: 4:07:48, time: 0.191, data_time: 0.008, memory: 52540, decode.loss_ce: 0.1889, decode.acc_seg: 92.2243, loss: 0.1889 +2023-03-04 06:44:19,476 - mmseg - INFO - Iter [91750/160000] lr: 7.500e-05, eta: 4:07:36, time: 0.191, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1902, decode.acc_seg: 92.1337, loss: 0.1902 +2023-03-04 06:44:29,014 - mmseg - INFO - Iter [91800/160000] lr: 7.500e-05, eta: 4:07:24, time: 0.191, data_time: 0.008, memory: 52540, decode.loss_ce: 0.1969, decode.acc_seg: 91.8214, loss: 0.1969 +2023-03-04 06:44:38,595 - mmseg - INFO - Iter [91850/160000] lr: 7.500e-05, eta: 4:07:12, time: 0.192, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1919, decode.acc_seg: 92.0256, loss: 0.1919 +2023-03-04 06:44:48,259 - mmseg - INFO - Iter [91900/160000] lr: 7.500e-05, eta: 4:07:01, time: 0.193, data_time: 0.008, memory: 52540, decode.loss_ce: 0.1973, decode.acc_seg: 91.9359, loss: 0.1973 +2023-03-04 06:44:57,705 - mmseg - INFO - Iter [91950/160000] lr: 7.500e-05, eta: 4:06:49, time: 0.189, data_time: 0.008, memory: 52540, decode.loss_ce: 0.1929, decode.acc_seg: 92.0731, loss: 0.1929 +2023-03-04 06:45:07,312 - mmseg - INFO - Exp name: ablation_segformer_mit_b2_segformer_head_unet_fc_small_multi_step_ade_pretrained_freeze_embed_160k_ade20k151_finetune_ema_t50.py +2023-03-04 06:45:07,312 - mmseg - INFO - Iter [92000/160000] lr: 7.500e-05, eta: 4:06:37, time: 0.192, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1986, decode.acc_seg: 92.0000, loss: 0.1986 +2023-03-04 06:45:16,951 - mmseg - INFO - Iter [92050/160000] lr: 7.500e-05, eta: 4:06:25, time: 0.193, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1900, decode.acc_seg: 92.2638, loss: 0.1900 +2023-03-04 06:45:26,552 - mmseg - INFO - Iter [92100/160000] lr: 7.500e-05, eta: 4:06:13, time: 0.192, data_time: 0.008, memory: 52540, decode.loss_ce: 0.1915, decode.acc_seg: 92.2424, loss: 0.1915 +2023-03-04 06:45:38,616 - mmseg - INFO - Iter [92150/160000] lr: 7.500e-05, eta: 4:06:03, time: 0.241, data_time: 0.059, memory: 52540, decode.loss_ce: 0.1896, decode.acc_seg: 92.1167, loss: 0.1896 +2023-03-04 06:45:48,483 - mmseg - INFO - Iter [92200/160000] lr: 7.500e-05, eta: 4:05:52, time: 0.197, data_time: 0.008, memory: 52540, decode.loss_ce: 0.1923, decode.acc_seg: 92.1021, loss: 0.1923 +2023-03-04 06:45:57,954 - mmseg - INFO - Iter [92250/160000] lr: 7.500e-05, eta: 4:05:40, time: 0.189, data_time: 0.008, memory: 52540, decode.loss_ce: 0.1943, decode.acc_seg: 92.0701, loss: 0.1943 +2023-03-04 06:46:07,651 - mmseg - INFO - Iter [92300/160000] lr: 7.500e-05, eta: 4:05:28, time: 0.194, data_time: 0.008, memory: 52540, decode.loss_ce: 0.1974, decode.acc_seg: 91.9650, loss: 0.1974 +2023-03-04 06:46:17,202 - mmseg - INFO - Iter [92350/160000] lr: 7.500e-05, eta: 4:05:16, time: 0.191, data_time: 0.008, memory: 52540, decode.loss_ce: 0.1933, decode.acc_seg: 92.1211, loss: 0.1933 +2023-03-04 06:46:26,763 - mmseg - INFO - Iter [92400/160000] lr: 7.500e-05, eta: 4:05:04, time: 0.191, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1919, decode.acc_seg: 92.0751, loss: 0.1919 +2023-03-04 06:46:36,292 - mmseg - INFO - Iter [92450/160000] lr: 7.500e-05, eta: 4:04:52, time: 0.191, data_time: 0.008, memory: 52540, decode.loss_ce: 0.1912, decode.acc_seg: 92.1664, loss: 0.1912 +2023-03-04 06:46:45,726 - mmseg - INFO - Iter [92500/160000] lr: 7.500e-05, eta: 4:04:41, time: 0.189, data_time: 0.008, memory: 52540, decode.loss_ce: 0.1861, decode.acc_seg: 92.3548, loss: 0.1861 +2023-03-04 06:46:55,497 - mmseg - INFO - Iter [92550/160000] lr: 7.500e-05, eta: 4:04:29, time: 0.195, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1934, decode.acc_seg: 92.1108, loss: 0.1934 +2023-03-04 06:47:05,023 - mmseg - INFO - Iter [92600/160000] lr: 7.500e-05, eta: 4:04:17, time: 0.191, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1992, decode.acc_seg: 91.8220, loss: 0.1992 +2023-03-04 06:47:14,617 - mmseg - INFO - Iter [92650/160000] lr: 7.500e-05, eta: 4:04:05, time: 0.192, data_time: 0.008, memory: 52540, decode.loss_ce: 0.1812, decode.acc_seg: 92.4940, loss: 0.1812 +2023-03-04 06:47:24,100 - mmseg - INFO - Iter [92700/160000] lr: 7.500e-05, eta: 4:03:53, time: 0.190, data_time: 0.008, memory: 52540, decode.loss_ce: 0.1930, decode.acc_seg: 92.0710, loss: 0.1930 +2023-03-04 06:47:33,767 - mmseg - INFO - Iter [92750/160000] lr: 7.500e-05, eta: 4:03:42, time: 0.193, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1985, decode.acc_seg: 91.7442, loss: 0.1985 +2023-03-04 06:47:45,821 - mmseg - INFO - Iter [92800/160000] lr: 7.500e-05, eta: 4:03:32, time: 0.241, data_time: 0.058, memory: 52540, decode.loss_ce: 0.1866, decode.acc_seg: 92.3405, loss: 0.1866 +2023-03-04 06:47:56,006 - mmseg - INFO - Iter [92850/160000] lr: 7.500e-05, eta: 4:03:20, time: 0.204, data_time: 0.008, memory: 52540, decode.loss_ce: 0.2024, decode.acc_seg: 91.7920, loss: 0.2024 +2023-03-04 06:48:05,509 - mmseg - INFO - Iter [92900/160000] lr: 7.500e-05, eta: 4:03:08, time: 0.190, data_time: 0.008, memory: 52540, decode.loss_ce: 0.1949, decode.acc_seg: 91.9414, loss: 0.1949 +2023-03-04 06:48:15,013 - mmseg - INFO - Iter [92950/160000] lr: 7.500e-05, eta: 4:02:56, time: 0.190, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1957, decode.acc_seg: 92.0224, loss: 0.1957 +2023-03-04 06:48:24,453 - mmseg - INFO - Exp name: ablation_segformer_mit_b2_segformer_head_unet_fc_small_multi_step_ade_pretrained_freeze_embed_160k_ade20k151_finetune_ema_t50.py +2023-03-04 06:48:24,453 - mmseg - INFO - Iter [93000/160000] lr: 7.500e-05, eta: 4:02:45, time: 0.189, data_time: 0.008, memory: 52540, decode.loss_ce: 0.1898, decode.acc_seg: 92.1851, loss: 0.1898 +2023-03-04 06:48:34,315 - mmseg - INFO - Iter [93050/160000] lr: 7.500e-05, eta: 4:02:33, time: 0.197, data_time: 0.009, memory: 52540, decode.loss_ce: 0.1984, decode.acc_seg: 91.8741, loss: 0.1984 +2023-03-04 06:48:43,915 - mmseg - INFO - Iter [93100/160000] lr: 7.500e-05, eta: 4:02:21, time: 0.192, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1963, decode.acc_seg: 91.9503, loss: 0.1963 +2023-03-04 06:48:53,526 - mmseg - INFO - Iter [93150/160000] lr: 7.500e-05, eta: 4:02:09, time: 0.192, data_time: 0.007, memory: 52540, decode.loss_ce: 0.2026, decode.acc_seg: 91.9012, loss: 0.2026 +2023-03-04 06:49:03,009 - mmseg - INFO - Iter [93200/160000] lr: 7.500e-05, eta: 4:01:58, time: 0.190, data_time: 0.008, memory: 52540, decode.loss_ce: 0.2050, decode.acc_seg: 91.6285, loss: 0.2050 +2023-03-04 06:49:12,604 - mmseg - INFO - Iter [93250/160000] lr: 7.500e-05, eta: 4:01:46, time: 0.192, data_time: 0.008, memory: 52540, decode.loss_ce: 0.1906, decode.acc_seg: 92.3015, loss: 0.1906 +2023-03-04 06:49:22,296 - mmseg - INFO - Iter [93300/160000] lr: 7.500e-05, eta: 4:01:34, time: 0.194, data_time: 0.008, memory: 52540, decode.loss_ce: 0.1912, decode.acc_seg: 92.2547, loss: 0.1912 +2023-03-04 06:49:31,954 - mmseg - INFO - Iter [93350/160000] lr: 7.500e-05, eta: 4:01:22, time: 0.193, data_time: 0.008, memory: 52540, decode.loss_ce: 0.2043, decode.acc_seg: 91.6539, loss: 0.2043 +2023-03-04 06:49:44,087 - mmseg - INFO - Iter [93400/160000] lr: 7.500e-05, eta: 4:01:12, time: 0.243, data_time: 0.055, memory: 52540, decode.loss_ce: 0.1902, decode.acc_seg: 92.0291, loss: 0.1902 +2023-03-04 06:49:53,747 - mmseg - INFO - Iter [93450/160000] lr: 7.500e-05, eta: 4:01:01, time: 0.193, data_time: 0.008, memory: 52540, decode.loss_ce: 0.1943, decode.acc_seg: 92.0107, loss: 0.1943 +2023-03-04 06:50:03,404 - mmseg - INFO - Iter [93500/160000] lr: 7.500e-05, eta: 4:00:49, time: 0.193, data_time: 0.008, memory: 52540, decode.loss_ce: 0.1940, decode.acc_seg: 92.0576, loss: 0.1940 +2023-03-04 06:50:13,092 - mmseg - INFO - Iter [93550/160000] lr: 7.500e-05, eta: 4:00:37, time: 0.194, data_time: 0.008, memory: 52540, decode.loss_ce: 0.1927, decode.acc_seg: 91.9396, loss: 0.1927 +2023-03-04 06:50:22,777 - mmseg - INFO - Iter [93600/160000] lr: 7.500e-05, eta: 4:00:26, time: 0.194, data_time: 0.008, memory: 52540, decode.loss_ce: 0.1995, decode.acc_seg: 91.9777, loss: 0.1995 +2023-03-04 06:50:32,507 - mmseg - INFO - Iter [93650/160000] lr: 7.500e-05, eta: 4:00:14, time: 0.195, data_time: 0.008, memory: 52540, decode.loss_ce: 0.1897, decode.acc_seg: 92.2591, loss: 0.1897 +2023-03-04 06:50:42,148 - mmseg - INFO - Iter [93700/160000] lr: 7.500e-05, eta: 4:00:02, time: 0.193, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1996, decode.acc_seg: 91.9136, loss: 0.1996 +2023-03-04 06:50:51,872 - mmseg - INFO - Iter [93750/160000] lr: 7.500e-05, eta: 3:59:50, time: 0.195, data_time: 0.008, memory: 52540, decode.loss_ce: 0.1931, decode.acc_seg: 92.0110, loss: 0.1931 +2023-03-04 06:51:01,306 - mmseg - INFO - Iter [93800/160000] lr: 7.500e-05, eta: 3:59:39, time: 0.189, data_time: 0.008, memory: 52540, decode.loss_ce: 0.1992, decode.acc_seg: 91.9417, loss: 0.1992 +2023-03-04 06:51:11,064 - mmseg - INFO - Iter [93850/160000] lr: 7.500e-05, eta: 3:59:27, time: 0.195, data_time: 0.008, memory: 52540, decode.loss_ce: 0.1910, decode.acc_seg: 92.1556, loss: 0.1910 +2023-03-04 06:51:20,636 - mmseg - INFO - Iter [93900/160000] lr: 7.500e-05, eta: 3:59:15, time: 0.191, data_time: 0.008, memory: 52540, decode.loss_ce: 0.1936, decode.acc_seg: 92.1536, loss: 0.1936 +2023-03-04 06:51:30,107 - mmseg - INFO - Iter [93950/160000] lr: 7.500e-05, eta: 3:59:03, time: 0.189, data_time: 0.008, memory: 52540, decode.loss_ce: 0.1992, decode.acc_seg: 91.7625, loss: 0.1992 +2023-03-04 06:51:39,619 - mmseg - INFO - Exp name: ablation_segformer_mit_b2_segformer_head_unet_fc_small_multi_step_ade_pretrained_freeze_embed_160k_ade20k151_finetune_ema_t50.py +2023-03-04 06:51:39,620 - mmseg - INFO - Iter [94000/160000] lr: 7.500e-05, eta: 3:58:52, time: 0.190, data_time: 0.008, memory: 52540, decode.loss_ce: 0.1933, decode.acc_seg: 92.0837, loss: 0.1933 +2023-03-04 06:51:51,872 - mmseg - INFO - Iter [94050/160000] lr: 7.500e-05, eta: 3:58:42, time: 0.245, data_time: 0.057, memory: 52540, decode.loss_ce: 0.1919, decode.acc_seg: 92.0435, loss: 0.1919 +2023-03-04 06:52:01,432 - mmseg - INFO - Iter [94100/160000] lr: 7.500e-05, eta: 3:58:30, time: 0.191, data_time: 0.008, memory: 52540, decode.loss_ce: 0.1832, decode.acc_seg: 92.4788, loss: 0.1832 +2023-03-04 06:52:11,139 - mmseg - INFO - Iter [94150/160000] lr: 7.500e-05, eta: 3:58:18, time: 0.194, data_time: 0.008, memory: 52540, decode.loss_ce: 0.1894, decode.acc_seg: 92.2073, loss: 0.1894 +2023-03-04 06:52:21,146 - mmseg - INFO - Iter [94200/160000] lr: 7.500e-05, eta: 3:58:07, time: 0.200, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1958, decode.acc_seg: 91.9704, loss: 0.1958 +2023-03-04 06:52:30,686 - mmseg - INFO - Iter [94250/160000] lr: 7.500e-05, eta: 3:57:55, time: 0.191, data_time: 0.008, memory: 52540, decode.loss_ce: 0.1977, decode.acc_seg: 91.7678, loss: 0.1977 +2023-03-04 06:52:40,119 - mmseg - INFO - Iter [94300/160000] lr: 7.500e-05, eta: 3:57:43, time: 0.189, data_time: 0.008, memory: 52540, decode.loss_ce: 0.2009, decode.acc_seg: 91.8471, loss: 0.2009 +2023-03-04 06:52:49,829 - mmseg - INFO - Iter [94350/160000] lr: 7.500e-05, eta: 3:57:32, time: 0.194, data_time: 0.008, memory: 52540, decode.loss_ce: 0.1934, decode.acc_seg: 92.2221, loss: 0.1934 +2023-03-04 06:52:59,263 - mmseg - INFO - Iter [94400/160000] lr: 7.500e-05, eta: 3:57:20, time: 0.189, data_time: 0.008, memory: 52540, decode.loss_ce: 0.1888, decode.acc_seg: 92.2433, loss: 0.1888 +2023-03-04 06:53:08,718 - mmseg - INFO - Iter [94450/160000] lr: 7.500e-05, eta: 3:57:08, time: 0.189, data_time: 0.008, memory: 52540, decode.loss_ce: 0.1983, decode.acc_seg: 91.9161, loss: 0.1983 +2023-03-04 06:53:18,216 - mmseg - INFO - Iter [94500/160000] lr: 7.500e-05, eta: 3:56:56, time: 0.190, data_time: 0.008, memory: 52540, decode.loss_ce: 0.1930, decode.acc_seg: 92.1241, loss: 0.1930 +2023-03-04 06:53:27,692 - mmseg - INFO - Iter [94550/160000] lr: 7.500e-05, eta: 3:56:44, time: 0.190, data_time: 0.008, memory: 52540, decode.loss_ce: 0.1954, decode.acc_seg: 91.9687, loss: 0.1954 +2023-03-04 06:53:37,230 - mmseg - INFO - Iter [94600/160000] lr: 7.500e-05, eta: 3:56:32, time: 0.191, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1934, decode.acc_seg: 92.1613, loss: 0.1934 +2023-03-04 06:53:46,741 - mmseg - INFO - Iter [94650/160000] lr: 7.500e-05, eta: 3:56:21, time: 0.190, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1923, decode.acc_seg: 92.1311, loss: 0.1923 +2023-03-04 06:53:58,941 - mmseg - INFO - Iter [94700/160000] lr: 7.500e-05, eta: 3:56:11, time: 0.244, data_time: 0.055, memory: 52540, decode.loss_ce: 0.1962, decode.acc_seg: 91.9105, loss: 0.1962 +2023-03-04 06:54:08,610 - mmseg - INFO - Iter [94750/160000] lr: 7.500e-05, eta: 3:55:59, time: 0.193, data_time: 0.008, memory: 52540, decode.loss_ce: 0.1947, decode.acc_seg: 91.9239, loss: 0.1947 +2023-03-04 06:54:18,209 - mmseg - INFO - Iter [94800/160000] lr: 7.500e-05, eta: 3:55:47, time: 0.192, data_time: 0.008, memory: 52540, decode.loss_ce: 0.1929, decode.acc_seg: 92.1360, loss: 0.1929 +2023-03-04 06:54:27,805 - mmseg - INFO - Iter [94850/160000] lr: 7.500e-05, eta: 3:55:36, time: 0.192, data_time: 0.008, memory: 52540, decode.loss_ce: 0.1952, decode.acc_seg: 92.0418, loss: 0.1952 +2023-03-04 06:54:37,245 - mmseg - INFO - Iter [94900/160000] lr: 7.500e-05, eta: 3:55:24, time: 0.189, data_time: 0.007, memory: 52540, decode.loss_ce: 0.2002, decode.acc_seg: 91.6322, loss: 0.2002 +2023-03-04 06:54:46,913 - mmseg - INFO - Iter [94950/160000] lr: 7.500e-05, eta: 3:55:12, time: 0.193, data_time: 0.008, memory: 52540, decode.loss_ce: 0.1944, decode.acc_seg: 92.0347, loss: 0.1944 +2023-03-04 06:54:56,463 - mmseg - INFO - Exp name: ablation_segformer_mit_b2_segformer_head_unet_fc_small_multi_step_ade_pretrained_freeze_embed_160k_ade20k151_finetune_ema_t50.py +2023-03-04 06:54:56,464 - mmseg - INFO - Iter [95000/160000] lr: 7.500e-05, eta: 3:55:01, time: 0.191, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1918, decode.acc_seg: 92.2015, loss: 0.1918 +2023-03-04 06:55:06,011 - mmseg - INFO - Iter [95050/160000] lr: 7.500e-05, eta: 3:54:49, time: 0.191, data_time: 0.008, memory: 52540, decode.loss_ce: 0.1988, decode.acc_seg: 91.8592, loss: 0.1988 +2023-03-04 06:55:15,587 - mmseg - INFO - Iter [95100/160000] lr: 7.500e-05, eta: 3:54:37, time: 0.192, data_time: 0.008, memory: 52540, decode.loss_ce: 0.1970, decode.acc_seg: 92.0884, loss: 0.1970 +2023-03-04 06:55:25,213 - mmseg - INFO - Iter [95150/160000] lr: 7.500e-05, eta: 3:54:25, time: 0.193, data_time: 0.008, memory: 52540, decode.loss_ce: 0.1880, decode.acc_seg: 92.1582, loss: 0.1880 +2023-03-04 06:55:34,727 - mmseg - INFO - Iter [95200/160000] lr: 7.500e-05, eta: 3:54:14, time: 0.190, data_time: 0.008, memory: 52540, decode.loss_ce: 0.1963, decode.acc_seg: 91.9371, loss: 0.1963 +2023-03-04 06:55:44,630 - mmseg - INFO - Iter [95250/160000] lr: 7.500e-05, eta: 3:54:02, time: 0.198, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1884, decode.acc_seg: 92.1465, loss: 0.1884 +2023-03-04 06:55:56,993 - mmseg - INFO - Iter [95300/160000] lr: 7.500e-05, eta: 3:53:52, time: 0.247, data_time: 0.056, memory: 52540, decode.loss_ce: 0.1883, decode.acc_seg: 92.3152, loss: 0.1883 +2023-03-04 06:56:06,589 - mmseg - INFO - Iter [95350/160000] lr: 7.500e-05, eta: 3:53:41, time: 0.192, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1942, decode.acc_seg: 92.1099, loss: 0.1942 +2023-03-04 06:56:16,332 - mmseg - INFO - Iter [95400/160000] lr: 7.500e-05, eta: 3:53:29, time: 0.195, data_time: 0.008, memory: 52540, decode.loss_ce: 0.2005, decode.acc_seg: 91.7305, loss: 0.2005 +2023-03-04 06:56:25,774 - mmseg - INFO - Iter [95450/160000] lr: 7.500e-05, eta: 3:53:17, time: 0.189, data_time: 0.008, memory: 52540, decode.loss_ce: 0.1910, decode.acc_seg: 92.1384, loss: 0.1910 +2023-03-04 06:56:35,510 - mmseg - INFO - Iter [95500/160000] lr: 7.500e-05, eta: 3:53:06, time: 0.194, data_time: 0.008, memory: 52540, decode.loss_ce: 0.1903, decode.acc_seg: 92.1993, loss: 0.1903 +2023-03-04 06:56:45,324 - mmseg - INFO - Iter [95550/160000] lr: 7.500e-05, eta: 3:52:54, time: 0.197, data_time: 0.008, memory: 52540, decode.loss_ce: 0.1962, decode.acc_seg: 92.0778, loss: 0.1962 +2023-03-04 06:56:54,752 - mmseg - INFO - Iter [95600/160000] lr: 7.500e-05, eta: 3:52:42, time: 0.189, data_time: 0.008, memory: 52540, decode.loss_ce: 0.1868, decode.acc_seg: 92.3288, loss: 0.1868 +2023-03-04 06:57:05,079 - mmseg - INFO - Iter [95650/160000] lr: 7.500e-05, eta: 3:52:31, time: 0.207, data_time: 0.009, memory: 52540, decode.loss_ce: 0.2012, decode.acc_seg: 91.8809, loss: 0.2012 +2023-03-04 06:57:14,692 - mmseg - INFO - Iter [95700/160000] lr: 7.500e-05, eta: 3:52:19, time: 0.192, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1838, decode.acc_seg: 92.4532, loss: 0.1838 +2023-03-04 06:57:24,336 - mmseg - INFO - Iter [95750/160000] lr: 7.500e-05, eta: 3:52:08, time: 0.193, data_time: 0.008, memory: 52540, decode.loss_ce: 0.1948, decode.acc_seg: 91.8499, loss: 0.1948 +2023-03-04 06:57:33,869 - mmseg - INFO - Iter [95800/160000] lr: 7.500e-05, eta: 3:51:56, time: 0.190, data_time: 0.008, memory: 52540, decode.loss_ce: 0.1974, decode.acc_seg: 91.8930, loss: 0.1974 +2023-03-04 06:57:43,763 - mmseg - INFO - Iter [95850/160000] lr: 7.500e-05, eta: 3:51:45, time: 0.198, data_time: 0.008, memory: 52540, decode.loss_ce: 0.1995, decode.acc_seg: 91.9065, loss: 0.1995 +2023-03-04 06:57:53,445 - mmseg - INFO - Iter [95900/160000] lr: 7.500e-05, eta: 3:51:33, time: 0.194, data_time: 0.008, memory: 52540, decode.loss_ce: 0.1965, decode.acc_seg: 92.0178, loss: 0.1965 +2023-03-04 06:58:05,836 - mmseg - INFO - Iter [95950/160000] lr: 7.500e-05, eta: 3:51:23, time: 0.248, data_time: 0.053, memory: 52540, decode.loss_ce: 0.1943, decode.acc_seg: 92.1996, loss: 0.1943 +2023-03-04 06:58:15,352 - mmseg - INFO - Swap parameters (after train) after iter [96000] +2023-03-04 06:58:15,364 - mmseg - INFO - Saving checkpoint at 96000 iterations +2023-03-04 06:58:16,601 - mmseg - INFO - Exp name: ablation_segformer_mit_b2_segformer_head_unet_fc_small_multi_step_ade_pretrained_freeze_embed_160k_ade20k151_finetune_ema_t50.py +2023-03-04 06:58:16,602 - mmseg - INFO - Iter [96000/160000] lr: 7.500e-05, eta: 3:51:12, time: 0.216, data_time: 0.008, memory: 52540, decode.loss_ce: 0.1852, decode.acc_seg: 92.2692, loss: 0.1852 +2023-03-04 07:04:09,840 - mmseg - INFO - per class results: +2023-03-04 07:04:09,848 - mmseg - INFO - ++---------------------+-------------------------------------------------------------------+ +| Class | IoU 0,5,10,15,20,25,30,35,40,45,49 | ++---------------------+-------------------------------------------------------------------+ +| background | nan,nan,nan,nan,nan,nan,nan,nan,nan,nan,nan | +| wall | 77.55,77.58,77.6,77.61,77.63,77.64,77.63,77.66,77.64,77.66,77.65 | +| building | 81.67,81.67,81.67,81.67,81.68,81.69,81.67,81.69,81.68,81.68,81.67 | +| sky | 94.45,94.46,94.46,94.47,94.47,94.48,94.48,94.48,94.48,94.49,94.5 | +| floor | 81.83,81.83,81.84,81.84,81.83,81.84,81.83,81.81,81.84,81.81,81.81 | +| tree | 74.36,74.37,74.39,74.39,74.38,74.39,74.41,74.41,74.4,74.41,74.4 | +| ceiling | 85.27,85.29,85.34,85.32,85.33,85.35,85.35,85.36,85.38,85.36,85.36 | +| road | 82.16,82.16,82.16,82.18,82.15,82.21,82.19,82.21,82.18,82.21,82.2 | +| bed | 87.96,87.97,87.98,87.99,88.0,88.02,88.02,87.97,88.08,88.0,88.0 | +| windowpane | 60.69,60.67,60.73,60.73,60.74,60.78,60.8,60.8,60.8,60.78,60.76 | +| grass | 67.26,67.28,67.32,67.36,67.4,67.43,67.43,67.45,67.46,67.44,67.44 | +| cabinet | 60.82,60.9,61.03,61.17,61.19,61.23,61.29,61.23,61.26,61.24,61.23 | +| sidewalk | 64.05,64.06,64.06,64.01,63.95,63.97,63.96,63.99,63.98,64.01,64.01 | +| person | 79.78,79.79,79.8,79.82,79.82,79.83,79.84,79.82,79.83,79.81,79.81 | +| earth | 36.08,36.08,36.16,36.2,36.1,36.14,36.17,36.11,36.19,36.12,36.13 | +| door | 46.12,46.15,46.17,46.21,46.18,46.23,46.2,46.22,46.22,46.23,46.24 | +| table | 61.47,61.53,61.62,61.68,61.72,61.77,61.75,61.78,61.83,61.85,61.88 | +| mountain | 57.56,57.6,57.65,57.7,57.75,57.82,57.88,57.91,57.93,57.97,58.0 | +| plant | 50.11,50.1,50.1,50.16,50.12,50.16,50.15,50.16,50.13,50.11,50.09 | +| curtain | 74.55,74.59,74.63,74.65,74.66,74.7,74.72,74.75,74.72,74.73,74.65 | +| chair | 56.58,56.57,56.62,56.64,56.65,56.66,56.68,56.66,56.71,56.67,56.66 | +| car | 81.49,81.52,81.55,81.58,81.63,81.68,81.72,81.75,81.8,81.8,81.82 | +| water | 57.42,57.47,57.5,57.54,57.58,57.6,57.68,57.68,57.7,57.67,57.68 | +| painting | 70.13,70.09,70.09,70.09,70.03,70.1,70.04,70.08,70.05,70.18,70.19 | +| sofa | 65.17,65.32,65.38,65.38,65.48,65.45,65.39,65.35,65.34,65.36,65.39 | +| shelf | 44.64,44.73,44.8,44.84,44.86,44.89,44.97,45.0,45.04,45.06,45.09 | +| house | 42.04,42.15,42.17,42.21,42.19,42.22,42.2,42.22,42.22,42.17,42.16 | +| sea | 60.63,60.66,60.68,60.75,60.79,60.86,60.92,60.94,61.01,61.04,61.06 | +| mirror | 66.68,66.8,66.98,67.06,67.14,67.24,67.23,67.3,67.4,67.42,67.44 | +| rug | 65.34,65.39,65.33,65.44,65.47,65.52,65.46,65.52,65.44,65.67,65.78 | +| field | 30.71,30.73,30.76,30.74,30.78,30.81,30.84,30.86,30.91,30.93,30.97 | +| armchair | 37.88,37.94,37.93,37.99,38.09,38.1,38.1,38.12,38.13,38.22,38.31 | +| seat | 65.86,65.88,65.87,65.86,65.83,65.85,65.9,65.9,65.98,65.94,65.97 | +| fence | 40.51,40.51,40.45,40.57,40.44,40.55,40.72,40.7,40.95,41.09,41.18 | +| desk | 46.83,46.92,46.94,46.97,47.0,46.98,47.03,46.97,47.03,46.95,47.0 | +| rock | 37.22,37.14,37.16,37.31,37.25,37.35,37.27,37.33,37.26,37.4,37.42 | +| wardrobe | 57.72,57.73,57.84,57.9,57.92,57.82,57.74,57.68,57.67,57.7,57.65 | +| lamp | 62.45,62.46,62.53,62.52,62.55,62.51,62.52,62.55,62.53,62.54,62.54 | +| bathtub | 76.08,76.17,75.96,76.08,75.77,75.71,75.69,75.57,75.53,75.45,75.35 | +| railing | 34.21,34.19,34.21,34.27,34.34,34.3,34.36,34.31,34.35,34.34,34.37 | +| cushion | 56.45,56.44,56.5,56.45,56.56,56.51,56.33,56.38,56.33,56.29,56.28 | +| base | 22.71,22.63,22.79,22.83,22.75,22.71,22.83,22.73,22.9,22.84,22.87 | +| box | 23.03,23.12,23.21,23.31,23.31,23.33,23.4,23.46,23.46,23.39,23.4 | +| column | 45.8,45.95,45.9,45.98,46.16,46.01,46.15,46.2,46.24,46.2,46.2 | +| signboard | 38.17,38.3,38.21,38.27,38.22,38.3,38.4,38.4,38.46,38.4,38.37 | +| chest of drawers | 36.66,36.6,36.71,36.85,36.92,36.88,36.97,37.02,36.83,37.1,37.11 | +| counter | 30.45,30.6,30.67,30.78,30.85,30.99,31.04,31.17,31.33,31.22,31.25 | +| sand | 41.92,41.96,42.18,42.46,42.7,42.78,42.97,43.02,43.15,43.1,43.08 | +| sink | 68.01,67.95,67.95,67.94,67.97,67.98,67.96,67.95,67.96,67.96,67.94 | +| skyscraper | 49.33,49.29,49.24,48.96,48.78,48.96,48.62,48.76,48.6,48.81,48.84 | +| fireplace | 76.99,77.1,77.12,77.1,77.09,77.2,77.24,77.28,77.31,77.38,77.45 | +| refrigerator | 75.45,75.59,75.79,75.79,75.91,76.0,75.74,76.14,75.86,76.12,76.14 | +| grandstand | 53.46,53.68,53.89,54.05,54.21,54.34,54.5,54.32,54.52,54.43,54.43 | +| path | 22.27,22.27,22.34,22.25,22.13,22.0,21.86,21.81,21.79,21.78,21.75 | +| stairs | 32.13,32.21,32.23,32.33,32.37,32.38,32.39,32.38,32.41,32.44,32.43 | +| runway | 67.33,67.4,67.46,67.49,67.55,67.56,67.64,67.65,67.66,67.63,67.65 | +| case | 47.94,48.18,48.1,48.21,48.19,48.21,48.41,48.12,48.33,48.02,48.03 | +| pool table | 91.87,91.94,91.94,91.94,92.02,92.0,92.08,92.07,92.1,92.21,92.24 | +| pillow | 60.49,60.37,60.55,60.58,60.58,60.64,60.64,60.54,60.54,60.52,60.44 | +| screen door | 69.94,69.96,69.95,69.81,69.97,69.85,69.83,69.78,69.78,69.7,69.7 | +| stairway | 24.32,24.39,24.47,24.56,24.59,24.69,24.65,24.69,24.59,24.7,24.68 | +| river | 11.97,11.95,11.92,11.91,11.85,11.82,11.81,11.79,11.8,11.77,11.77 | +| bridge | 31.06,31.14,30.99,31.07,30.96,31.03,31.11,31.13,31.31,31.2,31.27 | +| bookcase | 45.51,45.38,45.41,45.42,45.37,45.27,45.24,45.02,45.18,44.94,44.85 | +| blind | 40.91,40.88,40.85,40.86,40.79,40.7,40.74,40.62,40.73,40.62,40.63 | +| coffee table | 54.26,54.2,54.38,54.4,54.47,54.48,54.46,54.48,54.58,54.47,54.45 | +| toilet | 83.63,83.56,83.58,83.56,83.61,83.65,83.65,83.65,83.65,83.7,83.71 | +| flower | 39.02,39.09,39.05,39.07,39.07,39.2,39.14,39.35,39.11,39.36,39.36 | +| book | 45.24,45.27,45.22,45.26,45.25,45.27,45.25,45.19,45.21,45.15,45.09 | +| hill | 15.57,15.48,15.6,15.55,15.55,15.55,15.58,15.54,15.64,15.7,15.78 | +| bench | 42.0,41.92,42.07,42.01,41.94,41.95,41.74,41.68,41.53,41.56,41.54 | +| countertop | 55.27,55.24,55.09,55.04,55.1,55.11,55.05,55.13,55.22,55.14,55.16 | +| stove | 72.55,72.56,72.55,72.59,72.52,72.48,72.41,72.43,72.37,72.27,72.21 | +| palm | 48.6,48.53,48.53,48.67,48.57,48.58,48.56,48.45,48.57,48.54,48.51 | +| kitchen island | 45.17,45.42,45.55,45.74,45.6,45.75,45.8,45.87,45.78,45.77,45.78 | +| computer | 60.47,60.55,60.55,60.54,60.5,60.49,60.49,60.45,60.39,60.41,60.38 | +| swivel chair | 43.91,43.92,44.13,44.08,44.38,44.15,44.43,44.09,44.37,44.29,44.23 | +| boat | 73.29,73.66,73.78,73.92,74.18,74.43,74.74,74.85,75.14,75.09,75.14 | +| bar | 23.83,23.89,23.88,23.94,23.97,24.01,24.01,24.01,23.99,23.92,23.91 | +| arcade machine | 70.98,71.17,71.62,71.71,71.72,71.86,71.62,71.73,71.86,71.96,71.96 | +| hovel | 31.02,30.96,30.26,29.96,30.03,29.66,29.33,29.79,29.28,29.46,29.43 | +| bus | 78.91,78.92,78.91,78.8,78.78,78.84,78.95,78.87,78.85,78.89,78.85 | +| towel | 63.12,63.38,63.3,63.51,63.46,63.52,63.51,63.58,63.72,63.67,63.65 | +| light | 56.32,56.39,56.5,56.55,56.47,56.49,56.52,56.49,56.54,56.44,56.42 | +| truck | 18.61,18.57,18.55,18.63,18.4,18.55,18.31,18.37,18.49,18.24,18.17 | +| tower | 8.01,8.09,8.12,8.14,8.14,8.2,8.18,8.18,8.19,8.2,8.16 | +| chandelier | 64.19,64.07,64.13,64.09,64.09,64.19,64.06,63.99,64.01,64.04,64.0 | +| awning | 23.96,24.25,24.26,24.87,24.85,24.78,24.94,25.05,25.14,25.19,25.23 | +| streetlight | 27.54,27.47,27.63,27.76,27.74,27.69,27.88,27.85,27.95,27.94,27.95 | +| booth | 47.53,47.54,47.84,48.03,48.01,48.29,48.36,48.47,48.52,48.66,48.6 | +| television receiver | 64.34,64.31,64.35,64.26,64.17,64.28,64.2,64.34,64.38,64.48,64.51 | +| airplane | 59.95,59.87,59.79,59.79,59.78,59.77,59.74,59.72,59.68,59.64,59.57 | +| dirt track | 21.09,21.45,21.88,21.98,22.04,22.25,22.84,23.23,24.4,23.98,24.03 | +| apparel | 34.78,34.95,35.26,35.29,35.4,35.59,35.62,35.85,36.03,36.18,36.21 | +| pole | 19.54,19.39,19.17,19.11,18.93,19.01,18.77,18.76,18.64,18.69,18.58 | +| land | 3.43,3.41,3.45,3.46,3.44,3.37,3.45,3.41,3.45,3.35,3.36 | +| bannister | 13.4,13.55,13.7,13.64,13.72,13.66,13.68,13.74,13.7,13.71,13.75 | +| escalator | 24.31,24.46,24.6,24.68,24.84,24.81,24.9,24.91,24.95,24.91,24.89 | +| ottoman | 42.96,42.75,42.44,42.76,42.46,42.35,42.38,42.04,42.44,41.97,41.91 | +| bottle | 35.91,35.8,35.9,35.87,35.93,35.72,36.1,35.9,35.86,35.97,35.94 | +| buffet | 40.5,40.95,41.74,42.68,43.6,43.84,44.25,44.34,44.45,44.0,43.81 | +| poster | 22.98,23.04,23.09,23.43,23.56,23.49,23.57,23.75,23.53,23.74,23.63 | +| stage | 13.66,13.63,13.58,13.64,13.54,13.39,13.41,13.33,13.48,13.39,13.43 | +| van | 37.71,37.69,37.76,37.77,37.89,38.0,38.04,38.01,38.42,38.11,38.07 | +| ship | 81.57,81.86,82.38,82.52,82.85,82.74,83.06,83.06,83.31,83.26,83.26 | +| fountain | 19.09,19.26,19.32,19.42,19.58,19.54,19.76,19.74,19.65,19.77,19.73 | +| conveyer belt | 85.77,85.77,85.87,85.86,85.87,86.07,85.99,85.97,85.94,85.97,85.98 | +| canopy | 25.08,25.54,25.97,26.29,26.83,27.06,27.43,27.5,27.83,28.04,28.26 | +| washer | 74.95,75.13,75.53,75.48,75.18,75.5,75.42,75.57,75.69,75.79,75.89 | +| plaything | 20.63,20.56,20.61,20.53,20.52,20.52,20.52,20.49,20.5,20.5,20.49 | +| swimming pool | 75.18,75.06,75.24,75.46,75.57,75.83,75.78,75.94,75.81,75.9,75.91 | +| stool | 43.39,43.49,43.56,43.75,43.79,43.88,43.93,44.14,44.06,44.15,44.12 | +| barrel | 40.54,40.44,40.64,40.25,40.52,40.4,39.94,39.64,39.88,39.71,39.65 | +| basket | 24.0,23.97,24.04,23.89,23.98,23.95,23.96,24.03,24.09,23.97,23.99 | +| waterfall | 49.99,49.69,49.78,49.72,49.57,49.47,49.38,49.45,49.37,49.27,49.25 | +| tent | 94.42,94.33,94.51,94.62,94.76,94.68,94.72,94.71,94.78,94.92,94.93 | +| bag | 16.38,16.57,16.55,16.56,16.53,16.52,16.61,16.73,16.61,16.88,16.78 | +| minibike | 61.06,61.26,61.17,61.32,61.44,61.33,61.54,61.55,61.47,61.62,61.69 | +| cradle | 85.23,85.64,85.9,85.92,86.17,86.24,86.27,86.47,86.6,86.65,86.75 | +| oven | 48.42,48.19,48.27,48.28,48.29,48.16,48.37,48.3,48.46,48.37,48.36 | +| ball | 45.41,45.58,45.51,45.72,45.59,45.3,45.33,45.52,45.69,45.53,45.39 | +| food | 54.58,54.78,54.81,55.03,55.15,55.12,55.32,55.11,55.33,54.94,54.9 | +| step | 8.08,7.92,7.94,7.73,7.7,7.74,7.6,7.6,7.45,7.31,7.3 | +| tank | 49.34,49.37,49.26,49.2,49.18,49.24,49.23,49.27,49.19,49.13,49.0 | +| trade name | 29.38,29.32,29.39,29.31,29.27,29.27,29.05,28.85,29.01,28.81,28.79 | +| microwave | 73.31,73.29,73.48,73.67,73.65,73.54,73.69,73.85,74.03,73.89,73.81 | +| pot | 29.22,29.23,29.3,29.25,29.46,29.44,29.56,29.61,29.7,29.82,29.83 | +| animal | 55.26,55.35,55.42,55.46,55.44,55.5,55.53,55.48,55.58,55.6,55.6 | +| bicycle | 54.18,54.4,54.49,54.53,54.64,54.84,54.98,55.02,55.08,55.15,55.28 | +| lake | 57.66,57.75,57.86,57.94,58.07,58.11,58.14,58.18,58.29,58.26,58.27 | +| dishwasher | 65.55,65.55,65.19,65.37,65.22,65.18,65.06,65.15,64.68,64.97,64.98 | +| screen | 67.69,67.61,67.52,67.54,67.47,67.4,67.19,67.13,67.02,66.95,66.84 | +| blanket | 19.25,19.66,19.87,19.94,19.94,20.26,20.05,20.27,20.22,20.35,20.34 | +| sculpture | 58.03,57.68,57.68,57.79,57.69,57.64,57.76,57.67,57.25,57.33,57.39 | +| hood | 57.51,57.54,57.03,56.54,56.34,55.79,55.7,55.24,55.45,55.42,55.41 | +| sconce | 43.24,43.31,43.52,43.47,43.63,43.58,43.86,43.91,43.99,44.02,44.08 | +| vase | 37.21,37.38,37.42,37.47,37.39,37.67,37.8,37.9,37.92,38.07,38.1 | +| traffic light | 33.74,33.77,33.75,33.96,33.9,34.11,34.1,34.16,34.29,34.29,34.29 | +| tray | 7.59,7.66,7.79,7.72,7.78,7.84,7.81,7.59,7.78,7.56,7.55 | +| ashcan | 42.12,41.98,41.66,41.81,41.64,41.68,41.57,41.42,41.63,41.35,41.21 | +| fan | 57.55,57.53,57.55,57.54,57.57,57.52,57.43,57.46,57.39,57.34,57.2 | +| pier | 50.83,51.58,52.01,53.14,53.85,54.99,56.6,57.19,57.85,57.87,58.0 | +| crt screen | 10.28,10.3,10.33,10.4,10.4,10.4,10.46,10.29,10.41,10.26,10.26 | +| plate | 53.44,53.42,53.47,53.67,53.64,53.75,53.82,53.91,53.9,53.95,53.99 | +| monitor | 20.37,20.22,20.26,20.0,19.97,20.01,19.79,19.55,19.55,19.46,19.36 | +| bulletin board | 36.84,36.87,37.04,37.12,36.89,37.06,37.0,37.03,36.98,37.12,37.12 | +| shower | 1.46,1.48,1.49,1.49,1.41,1.39,1.39,1.33,1.37,1.35,1.33 | +| radiator | 60.82,61.52,61.72,62.56,62.85,63.2,63.22,63.59,63.78,63.64,63.63 | +| glass | 13.86,13.79,13.86,13.84,13.84,13.71,13.79,13.77,13.85,13.77,13.72 | +| clock | 35.61,35.84,35.91,35.91,36.08,35.78,35.84,35.88,35.91,35.84,35.84 | +| flag | 33.43,33.43,33.43,33.53,33.6,33.51,33.57,33.47,33.56,33.54,33.55 | ++---------------------+-------------------------------------------------------------------+ +2023-03-04 07:04:09,849 - mmseg - INFO - Summary: +2023-03-04 07:04:09,849 - mmseg - INFO - ++------------------------------------------------------------------+ +| mIoU 0,5,10,15,20,25,30,35,40,45,49 | ++------------------------------------------------------------------+ +| 48.82,48.87,48.93,48.98,49.01,49.03,49.06,49.08,49.12,49.11,49.1 | ++------------------------------------------------------------------+ +2023-03-04 07:04:09,883 - mmseg - INFO - The previous best checkpoint /mnt/petrelfs/laizeqiang/mmseg-baseline/work_dirs2/ablation_segformer_mit_b2_segformer_head_unet_fc_small_multi_step_ade_pretrained_freeze_embed_160k_ade20k151_finetune_ema_t50/best_mIoU_iter_64000.pth was removed +2023-03-04 07:04:10,777 - mmseg - INFO - Now best checkpoint is saved as best_mIoU_iter_96000.pth. +2023-03-04 07:04:10,777 - mmseg - INFO - Best mIoU is 0.4910 at 96000 iter. +2023-03-04 07:04:10,777 - mmseg - INFO - Exp name: ablation_segformer_mit_b2_segformer_head_unet_fc_small_multi_step_ade_pretrained_freeze_embed_160k_ade20k151_finetune_ema_t50.py +2023-03-04 07:04:10,777 - mmseg - INFO - Iter(val) [250] mIoU: [0.4882, 0.4887, 0.4893, 0.4898, 0.4901, 0.4903, 0.4906, 0.4908, 0.4912, 0.4911, 0.491], copy_paste: 48.82,48.87,48.93,48.98,49.01,49.03,49.06,49.08,49.12,49.11,49.1 +2023-03-04 07:04:10,784 - mmseg - INFO - Swap parameters (before train) before iter [96001] +2023-03-04 07:04:20,868 - mmseg - INFO - Iter [96050/160000] lr: 7.500e-05, eta: 3:54:57, time: 7.285, data_time: 7.091, memory: 52540, decode.loss_ce: 0.1961, decode.acc_seg: 92.0761, loss: 0.1961 +2023-03-04 07:04:30,709 - mmseg - INFO - Iter [96100/160000] lr: 7.500e-05, eta: 3:54:45, time: 0.197, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1984, decode.acc_seg: 91.8812, loss: 0.1984 +2023-03-04 07:04:40,533 - mmseg - INFO - Iter [96150/160000] lr: 7.500e-05, eta: 3:54:33, time: 0.196, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1908, decode.acc_seg: 92.0677, loss: 0.1908 +2023-03-04 07:04:50,308 - mmseg - INFO - Iter [96200/160000] lr: 7.500e-05, eta: 3:54:21, time: 0.196, data_time: 0.008, memory: 52540, decode.loss_ce: 0.1878, decode.acc_seg: 92.2633, loss: 0.1878 +2023-03-04 07:04:59,947 - mmseg - INFO - Iter [96250/160000] lr: 7.500e-05, eta: 3:54:09, time: 0.193, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1866, decode.acc_seg: 92.3329, loss: 0.1866 +2023-03-04 07:05:09,676 - mmseg - INFO - Iter [96300/160000] lr: 7.500e-05, eta: 3:53:58, time: 0.195, data_time: 0.008, memory: 52540, decode.loss_ce: 0.1951, decode.acc_seg: 92.0512, loss: 0.1951 +2023-03-04 07:05:19,275 - mmseg - INFO - Iter [96350/160000] lr: 7.500e-05, eta: 3:53:46, time: 0.192, data_time: 0.008, memory: 52540, decode.loss_ce: 0.2016, decode.acc_seg: 91.6290, loss: 0.2016 +2023-03-04 07:05:28,948 - mmseg - INFO - Iter [96400/160000] lr: 7.500e-05, eta: 3:53:34, time: 0.193, data_time: 0.008, memory: 52540, decode.loss_ce: 0.1966, decode.acc_seg: 91.8135, loss: 0.1966 +2023-03-04 07:05:38,599 - mmseg - INFO - Iter [96450/160000] lr: 7.500e-05, eta: 3:53:22, time: 0.193, data_time: 0.008, memory: 52540, decode.loss_ce: 0.1936, decode.acc_seg: 92.0125, loss: 0.1936 +2023-03-04 07:05:48,136 - mmseg - INFO - Iter [96500/160000] lr: 7.500e-05, eta: 3:53:10, time: 0.191, data_time: 0.008, memory: 52540, decode.loss_ce: 0.1912, decode.acc_seg: 92.1975, loss: 0.1912 +2023-03-04 07:06:00,245 - mmseg - INFO - Iter [96550/160000] lr: 7.500e-05, eta: 3:52:59, time: 0.242, data_time: 0.057, memory: 52540, decode.loss_ce: 0.1966, decode.acc_seg: 91.9129, loss: 0.1966 +2023-03-04 07:06:09,692 - mmseg - INFO - Iter [96600/160000] lr: 7.500e-05, eta: 3:52:47, time: 0.189, data_time: 0.008, memory: 52540, decode.loss_ce: 0.1947, decode.acc_seg: 92.0592, loss: 0.1947 +2023-03-04 07:06:19,172 - mmseg - INFO - Iter [96650/160000] lr: 7.500e-05, eta: 3:52:35, time: 0.190, data_time: 0.008, memory: 52540, decode.loss_ce: 0.1937, decode.acc_seg: 92.0796, loss: 0.1937 +2023-03-04 07:06:28,759 - mmseg - INFO - Iter [96700/160000] lr: 7.500e-05, eta: 3:52:23, time: 0.191, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1834, decode.acc_seg: 92.4445, loss: 0.1834 +2023-03-04 07:06:38,367 - mmseg - INFO - Iter [96750/160000] lr: 7.500e-05, eta: 3:52:12, time: 0.192, data_time: 0.008, memory: 52540, decode.loss_ce: 0.1991, decode.acc_seg: 91.8834, loss: 0.1991 +2023-03-04 07:06:48,256 - mmseg - INFO - Iter [96800/160000] lr: 7.500e-05, eta: 3:52:00, time: 0.198, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1973, decode.acc_seg: 92.0120, loss: 0.1973 +2023-03-04 07:06:57,760 - mmseg - INFO - Iter [96850/160000] lr: 7.500e-05, eta: 3:51:48, time: 0.190, data_time: 0.008, memory: 52540, decode.loss_ce: 0.1966, decode.acc_seg: 92.0972, loss: 0.1966 +2023-03-04 07:07:07,283 - mmseg - INFO - Iter [96900/160000] lr: 7.500e-05, eta: 3:51:36, time: 0.190, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1910, decode.acc_seg: 92.2060, loss: 0.1910 +2023-03-04 07:07:16,730 - mmseg - INFO - Iter [96950/160000] lr: 7.500e-05, eta: 3:51:24, time: 0.189, data_time: 0.008, memory: 52540, decode.loss_ce: 0.1934, decode.acc_seg: 92.2052, loss: 0.1934 +2023-03-04 07:07:26,570 - mmseg - INFO - Exp name: ablation_segformer_mit_b2_segformer_head_unet_fc_small_multi_step_ade_pretrained_freeze_embed_160k_ade20k151_finetune_ema_t50.py +2023-03-04 07:07:26,570 - mmseg - INFO - Iter [97000/160000] lr: 7.500e-05, eta: 3:51:12, time: 0.197, data_time: 0.008, memory: 52540, decode.loss_ce: 0.1938, decode.acc_seg: 91.9941, loss: 0.1938 +2023-03-04 07:07:36,419 - mmseg - INFO - Iter [97050/160000] lr: 7.500e-05, eta: 3:51:00, time: 0.197, data_time: 0.008, memory: 52540, decode.loss_ce: 0.1941, decode.acc_seg: 91.9899, loss: 0.1941 +2023-03-04 07:07:46,119 - mmseg - INFO - Iter [97100/160000] lr: 7.500e-05, eta: 3:50:48, time: 0.194, data_time: 0.008, memory: 52540, decode.loss_ce: 0.2015, decode.acc_seg: 91.7070, loss: 0.2015 +2023-03-04 07:07:55,732 - mmseg - INFO - Iter [97150/160000] lr: 7.500e-05, eta: 3:50:36, time: 0.192, data_time: 0.008, memory: 52540, decode.loss_ce: 0.1912, decode.acc_seg: 92.1931, loss: 0.1912 +2023-03-04 07:08:07,770 - mmseg - INFO - Iter [97200/160000] lr: 7.500e-05, eta: 3:50:26, time: 0.241, data_time: 0.055, memory: 52540, decode.loss_ce: 0.1926, decode.acc_seg: 91.9946, loss: 0.1926 +2023-03-04 07:08:17,283 - mmseg - INFO - Iter [97250/160000] lr: 7.500e-05, eta: 3:50:14, time: 0.190, data_time: 0.008, memory: 52540, decode.loss_ce: 0.1960, decode.acc_seg: 91.9121, loss: 0.1960 +2023-03-04 07:08:26,728 - mmseg - INFO - Iter [97300/160000] lr: 7.500e-05, eta: 3:50:02, time: 0.189, data_time: 0.008, memory: 52540, decode.loss_ce: 0.1893, decode.acc_seg: 92.3561, loss: 0.1893 +2023-03-04 07:08:36,465 - mmseg - INFO - Iter [97350/160000] lr: 7.500e-05, eta: 3:49:50, time: 0.195, data_time: 0.008, memory: 52540, decode.loss_ce: 0.2022, decode.acc_seg: 91.6344, loss: 0.2022 +2023-03-04 07:08:46,031 - mmseg - INFO - Iter [97400/160000] lr: 7.500e-05, eta: 3:49:38, time: 0.191, data_time: 0.008, memory: 52540, decode.loss_ce: 0.1982, decode.acc_seg: 91.9543, loss: 0.1982 +2023-03-04 07:08:55,514 - mmseg - INFO - Iter [97450/160000] lr: 7.500e-05, eta: 3:49:26, time: 0.189, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1921, decode.acc_seg: 92.0544, loss: 0.1921 +2023-03-04 07:09:05,070 - mmseg - INFO - Iter [97500/160000] lr: 7.500e-05, eta: 3:49:14, time: 0.191, data_time: 0.008, memory: 52540, decode.loss_ce: 0.1937, decode.acc_seg: 92.0099, loss: 0.1937 +2023-03-04 07:09:14,726 - mmseg - INFO - Iter [97550/160000] lr: 7.500e-05, eta: 3:49:03, time: 0.193, data_time: 0.008, memory: 52540, decode.loss_ce: 0.2004, decode.acc_seg: 91.7930, loss: 0.2004 +2023-03-04 07:09:24,168 - mmseg - INFO - Iter [97600/160000] lr: 7.500e-05, eta: 3:48:51, time: 0.189, data_time: 0.008, memory: 52540, decode.loss_ce: 0.1887, decode.acc_seg: 92.3371, loss: 0.1887 +2023-03-04 07:09:33,640 - mmseg - INFO - Iter [97650/160000] lr: 7.500e-05, eta: 3:48:39, time: 0.189, data_time: 0.008, memory: 52540, decode.loss_ce: 0.1927, decode.acc_seg: 92.0848, loss: 0.1927 +2023-03-04 07:09:43,336 - mmseg - INFO - Iter [97700/160000] lr: 7.500e-05, eta: 3:48:27, time: 0.194, data_time: 0.008, memory: 52540, decode.loss_ce: 0.1891, decode.acc_seg: 92.2541, loss: 0.1891 +2023-03-04 07:09:52,856 - mmseg - INFO - Iter [97750/160000] lr: 7.500e-05, eta: 3:48:15, time: 0.190, data_time: 0.008, memory: 52540, decode.loss_ce: 0.1959, decode.acc_seg: 91.9212, loss: 0.1959 +2023-03-04 07:10:02,305 - mmseg - INFO - Iter [97800/160000] lr: 7.500e-05, eta: 3:48:03, time: 0.189, data_time: 0.008, memory: 52540, decode.loss_ce: 0.1980, decode.acc_seg: 91.9624, loss: 0.1980 +2023-03-04 07:10:14,399 - mmseg - INFO - Iter [97850/160000] lr: 7.500e-05, eta: 3:47:53, time: 0.242, data_time: 0.052, memory: 52540, decode.loss_ce: 0.1885, decode.acc_seg: 92.1546, loss: 0.1885 +2023-03-04 07:10:24,034 - mmseg - INFO - Iter [97900/160000] lr: 7.500e-05, eta: 3:47:41, time: 0.193, data_time: 0.008, memory: 52540, decode.loss_ce: 0.1896, decode.acc_seg: 92.2013, loss: 0.1896 +2023-03-04 07:10:33,868 - mmseg - INFO - Iter [97950/160000] lr: 7.500e-05, eta: 3:47:29, time: 0.197, data_time: 0.008, memory: 52540, decode.loss_ce: 0.1897, decode.acc_seg: 92.0613, loss: 0.1897 +2023-03-04 07:10:43,447 - mmseg - INFO - Exp name: ablation_segformer_mit_b2_segformer_head_unet_fc_small_multi_step_ade_pretrained_freeze_embed_160k_ade20k151_finetune_ema_t50.py +2023-03-04 07:10:43,447 - mmseg - INFO - Iter [98000/160000] lr: 7.500e-05, eta: 3:47:17, time: 0.191, data_time: 0.008, memory: 52540, decode.loss_ce: 0.1954, decode.acc_seg: 91.8577, loss: 0.1954 +2023-03-04 07:10:52,952 - mmseg - INFO - Iter [98050/160000] lr: 7.500e-05, eta: 3:47:05, time: 0.190, data_time: 0.008, memory: 52540, decode.loss_ce: 0.1978, decode.acc_seg: 92.0235, loss: 0.1978 +2023-03-04 07:11:02,579 - mmseg - INFO - Iter [98100/160000] lr: 7.500e-05, eta: 3:46:53, time: 0.193, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1967, decode.acc_seg: 91.9204, loss: 0.1967 +2023-03-04 07:11:12,427 - mmseg - INFO - Iter [98150/160000] lr: 7.500e-05, eta: 3:46:42, time: 0.197, data_time: 0.008, memory: 52540, decode.loss_ce: 0.1977, decode.acc_seg: 91.9100, loss: 0.1977 +2023-03-04 07:11:21,955 - mmseg - INFO - Iter [98200/160000] lr: 7.500e-05, eta: 3:46:30, time: 0.191, data_time: 0.008, memory: 52540, decode.loss_ce: 0.1941, decode.acc_seg: 91.9705, loss: 0.1941 +2023-03-04 07:11:31,555 - mmseg - INFO - Iter [98250/160000] lr: 7.500e-05, eta: 3:46:18, time: 0.192, data_time: 0.008, memory: 52540, decode.loss_ce: 0.1936, decode.acc_seg: 92.0074, loss: 0.1936 +2023-03-04 07:11:41,241 - mmseg - INFO - Iter [98300/160000] lr: 7.500e-05, eta: 3:46:06, time: 0.194, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1961, decode.acc_seg: 91.9780, loss: 0.1961 +2023-03-04 07:11:51,026 - mmseg - INFO - Iter [98350/160000] lr: 7.500e-05, eta: 3:45:54, time: 0.196, data_time: 0.008, memory: 52540, decode.loss_ce: 0.1938, decode.acc_seg: 92.1327, loss: 0.1938 +2023-03-04 07:12:00,931 - mmseg - INFO - Iter [98400/160000] lr: 7.500e-05, eta: 3:45:42, time: 0.198, data_time: 0.008, memory: 52540, decode.loss_ce: 0.1952, decode.acc_seg: 92.0755, loss: 0.1952 +2023-03-04 07:12:13,325 - mmseg - INFO - Iter [98450/160000] lr: 7.500e-05, eta: 3:45:32, time: 0.248, data_time: 0.057, memory: 52540, decode.loss_ce: 0.1972, decode.acc_seg: 91.9769, loss: 0.1972 +2023-03-04 07:12:22,768 - mmseg - INFO - Iter [98500/160000] lr: 7.500e-05, eta: 3:45:20, time: 0.189, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1928, decode.acc_seg: 92.0750, loss: 0.1928 +2023-03-04 07:12:32,610 - mmseg - INFO - Iter [98550/160000] lr: 7.500e-05, eta: 3:45:09, time: 0.197, data_time: 0.008, memory: 52540, decode.loss_ce: 0.1902, decode.acc_seg: 92.1052, loss: 0.1902 +2023-03-04 07:12:42,129 - mmseg - INFO - Iter [98600/160000] lr: 7.500e-05, eta: 3:44:57, time: 0.190, data_time: 0.008, memory: 52540, decode.loss_ce: 0.1930, decode.acc_seg: 92.0057, loss: 0.1930 +2023-03-04 07:12:51,717 - mmseg - INFO - Iter [98650/160000] lr: 7.500e-05, eta: 3:44:45, time: 0.192, data_time: 0.008, memory: 52540, decode.loss_ce: 0.1978, decode.acc_seg: 91.9807, loss: 0.1978 +2023-03-04 07:13:01,288 - mmseg - INFO - Iter [98700/160000] lr: 7.500e-05, eta: 3:44:33, time: 0.191, data_time: 0.008, memory: 52540, decode.loss_ce: 0.2009, decode.acc_seg: 91.8115, loss: 0.2009 +2023-03-04 07:13:10,745 - mmseg - INFO - Iter [98750/160000] lr: 7.500e-05, eta: 3:44:21, time: 0.189, data_time: 0.008, memory: 52540, decode.loss_ce: 0.1986, decode.acc_seg: 91.8851, loss: 0.1986 +2023-03-04 07:13:20,251 - mmseg - INFO - Iter [98800/160000] lr: 7.500e-05, eta: 3:44:09, time: 0.190, data_time: 0.008, memory: 52540, decode.loss_ce: 0.1997, decode.acc_seg: 91.9352, loss: 0.1997 +2023-03-04 07:13:29,731 - mmseg - INFO - Iter [98850/160000] lr: 7.500e-05, eta: 3:43:57, time: 0.190, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1958, decode.acc_seg: 91.9560, loss: 0.1958 +2023-03-04 07:13:39,268 - mmseg - INFO - Iter [98900/160000] lr: 7.500e-05, eta: 3:43:45, time: 0.191, data_time: 0.008, memory: 52540, decode.loss_ce: 0.1894, decode.acc_seg: 92.0998, loss: 0.1894 +2023-03-04 07:13:48,878 - mmseg - INFO - Iter [98950/160000] lr: 7.500e-05, eta: 3:43:34, time: 0.192, data_time: 0.008, memory: 52540, decode.loss_ce: 0.1916, decode.acc_seg: 92.1753, loss: 0.1916 +2023-03-04 07:13:58,295 - mmseg - INFO - Exp name: ablation_segformer_mit_b2_segformer_head_unet_fc_small_multi_step_ade_pretrained_freeze_embed_160k_ade20k151_finetune_ema_t50.py +2023-03-04 07:13:58,295 - mmseg - INFO - Iter [99000/160000] lr: 7.500e-05, eta: 3:43:22, time: 0.188, data_time: 0.008, memory: 52540, decode.loss_ce: 0.1863, decode.acc_seg: 92.1338, loss: 0.1863 +2023-03-04 07:14:07,931 - mmseg - INFO - Iter [99050/160000] lr: 7.500e-05, eta: 3:43:10, time: 0.193, data_time: 0.008, memory: 52540, decode.loss_ce: 0.1884, decode.acc_seg: 92.3479, loss: 0.1884 +2023-03-04 07:14:20,138 - mmseg - INFO - Iter [99100/160000] lr: 7.500e-05, eta: 3:43:00, time: 0.244, data_time: 0.054, memory: 52540, decode.loss_ce: 0.1880, decode.acc_seg: 92.2871, loss: 0.1880 +2023-03-04 07:14:29,739 - mmseg - INFO - Iter [99150/160000] lr: 7.500e-05, eta: 3:42:48, time: 0.192, data_time: 0.008, memory: 52540, decode.loss_ce: 0.1915, decode.acc_seg: 92.1184, loss: 0.1915 +2023-03-04 07:14:39,427 - mmseg - INFO - Iter [99200/160000] lr: 7.500e-05, eta: 3:42:36, time: 0.194, data_time: 0.008, memory: 52540, decode.loss_ce: 0.1967, decode.acc_seg: 91.8285, loss: 0.1967 +2023-03-04 07:14:49,098 - mmseg - INFO - Iter [99250/160000] lr: 7.500e-05, eta: 3:42:24, time: 0.193, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1896, decode.acc_seg: 92.2225, loss: 0.1896 +2023-03-04 07:14:58,928 - mmseg - INFO - Iter [99300/160000] lr: 7.500e-05, eta: 3:42:12, time: 0.197, data_time: 0.008, memory: 52540, decode.loss_ce: 0.2102, decode.acc_seg: 91.5939, loss: 0.2102 +2023-03-04 07:15:08,581 - mmseg - INFO - Iter [99350/160000] lr: 7.500e-05, eta: 3:42:01, time: 0.193, data_time: 0.008, memory: 52540, decode.loss_ce: 0.1952, decode.acc_seg: 91.9795, loss: 0.1952 +2023-03-04 07:15:18,264 - mmseg - INFO - Iter [99400/160000] lr: 7.500e-05, eta: 3:41:49, time: 0.194, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1883, decode.acc_seg: 92.3871, loss: 0.1883 +2023-03-04 07:15:27,896 - mmseg - INFO - Iter [99450/160000] lr: 7.500e-05, eta: 3:41:37, time: 0.192, data_time: 0.008, memory: 52540, decode.loss_ce: 0.1958, decode.acc_seg: 91.8416, loss: 0.1958 +2023-03-04 07:15:37,651 - mmseg - INFO - Iter [99500/160000] lr: 7.500e-05, eta: 3:41:25, time: 0.195, data_time: 0.008, memory: 52540, decode.loss_ce: 0.1862, decode.acc_seg: 92.3181, loss: 0.1862 +2023-03-04 07:15:47,275 - mmseg - INFO - Iter [99550/160000] lr: 7.500e-05, eta: 3:41:14, time: 0.192, data_time: 0.008, memory: 52540, decode.loss_ce: 0.1801, decode.acc_seg: 92.4567, loss: 0.1801 +2023-03-04 07:15:56,727 - mmseg - INFO - Iter [99600/160000] lr: 7.500e-05, eta: 3:41:02, time: 0.189, data_time: 0.008, memory: 52540, decode.loss_ce: 0.1873, decode.acc_seg: 92.4150, loss: 0.1873 +2023-03-04 07:16:06,210 - mmseg - INFO - Iter [99650/160000] lr: 7.500e-05, eta: 3:40:50, time: 0.190, data_time: 0.008, memory: 52540, decode.loss_ce: 0.1936, decode.acc_seg: 92.1164, loss: 0.1936 +2023-03-04 07:16:18,491 - mmseg - INFO - Iter [99700/160000] lr: 7.500e-05, eta: 3:40:40, time: 0.246, data_time: 0.057, memory: 52540, decode.loss_ce: 0.1947, decode.acc_seg: 92.0336, loss: 0.1947 +2023-03-04 07:16:28,572 - mmseg - INFO - Iter [99750/160000] lr: 7.500e-05, eta: 3:40:28, time: 0.202, data_time: 0.008, memory: 52540, decode.loss_ce: 0.1877, decode.acc_seg: 92.3167, loss: 0.1877 +2023-03-04 07:16:38,155 - mmseg - INFO - Iter [99800/160000] lr: 7.500e-05, eta: 3:40:16, time: 0.191, data_time: 0.008, memory: 52540, decode.loss_ce: 0.1864, decode.acc_seg: 92.1835, loss: 0.1864 +2023-03-04 07:16:47,579 - mmseg - INFO - Iter [99850/160000] lr: 7.500e-05, eta: 3:40:04, time: 0.189, data_time: 0.008, memory: 52540, decode.loss_ce: 0.1915, decode.acc_seg: 92.2163, loss: 0.1915 +2023-03-04 07:16:57,655 - mmseg - INFO - Iter [99900/160000] lr: 7.500e-05, eta: 3:39:53, time: 0.202, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1980, decode.acc_seg: 91.9599, loss: 0.1980 +2023-03-04 07:17:07,180 - mmseg - INFO - Iter [99950/160000] lr: 7.500e-05, eta: 3:39:41, time: 0.191, data_time: 0.008, memory: 52540, decode.loss_ce: 0.1871, decode.acc_seg: 92.1727, loss: 0.1871 +2023-03-04 07:17:17,008 - mmseg - INFO - Exp name: ablation_segformer_mit_b2_segformer_head_unet_fc_small_multi_step_ade_pretrained_freeze_embed_160k_ade20k151_finetune_ema_t50.py +2023-03-04 07:17:17,008 - mmseg - INFO - Iter [100000/160000] lr: 7.500e-05, eta: 3:39:29, time: 0.197, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1835, decode.acc_seg: 92.4339, loss: 0.1835 +2023-03-04 07:17:26,458 - mmseg - INFO - Iter [100050/160000] lr: 3.750e-05, eta: 3:39:17, time: 0.189, data_time: 0.008, memory: 52540, decode.loss_ce: 0.1859, decode.acc_seg: 92.2907, loss: 0.1859 +2023-03-04 07:17:36,169 - mmseg - INFO - Iter [100100/160000] lr: 3.750e-05, eta: 3:39:06, time: 0.194, data_time: 0.008, memory: 52540, decode.loss_ce: 0.1916, decode.acc_seg: 92.1188, loss: 0.1916 +2023-03-04 07:17:45,850 - mmseg - INFO - Iter [100150/160000] lr: 3.750e-05, eta: 3:38:54, time: 0.193, data_time: 0.008, memory: 52540, decode.loss_ce: 0.1877, decode.acc_seg: 92.2692, loss: 0.1877 +2023-03-04 07:17:55,373 - mmseg - INFO - Iter [100200/160000] lr: 3.750e-05, eta: 3:38:42, time: 0.190, data_time: 0.008, memory: 52540, decode.loss_ce: 0.1888, decode.acc_seg: 92.2619, loss: 0.1888 +2023-03-04 07:18:05,076 - mmseg - INFO - Iter [100250/160000] lr: 3.750e-05, eta: 3:38:30, time: 0.194, data_time: 0.008, memory: 52540, decode.loss_ce: 0.1912, decode.acc_seg: 92.2625, loss: 0.1912 +2023-03-04 07:18:14,628 - mmseg - INFO - Iter [100300/160000] lr: 3.750e-05, eta: 3:38:19, time: 0.191, data_time: 0.008, memory: 52540, decode.loss_ce: 0.1938, decode.acc_seg: 92.0866, loss: 0.1938 +2023-03-04 07:18:26,921 - mmseg - INFO - Iter [100350/160000] lr: 3.750e-05, eta: 3:38:08, time: 0.246, data_time: 0.057, memory: 52540, decode.loss_ce: 0.1846, decode.acc_seg: 92.3997, loss: 0.1846 +2023-03-04 07:18:36,657 - mmseg - INFO - Iter [100400/160000] lr: 3.750e-05, eta: 3:37:57, time: 0.195, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1827, decode.acc_seg: 92.4456, loss: 0.1827 +2023-03-04 07:18:46,443 - mmseg - INFO - Iter [100450/160000] lr: 3.750e-05, eta: 3:37:45, time: 0.196, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1935, decode.acc_seg: 92.0840, loss: 0.1935 +2023-03-04 07:18:56,096 - mmseg - INFO - Iter [100500/160000] lr: 3.750e-05, eta: 3:37:33, time: 0.193, data_time: 0.008, memory: 52540, decode.loss_ce: 0.1898, decode.acc_seg: 92.1241, loss: 0.1898 +2023-03-04 07:19:05,709 - mmseg - INFO - Iter [100550/160000] lr: 3.750e-05, eta: 3:37:21, time: 0.192, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1917, decode.acc_seg: 92.1235, loss: 0.1917 +2023-03-04 07:19:15,406 - mmseg - INFO - Iter [100600/160000] lr: 3.750e-05, eta: 3:37:10, time: 0.194, data_time: 0.008, memory: 52540, decode.loss_ce: 0.1901, decode.acc_seg: 92.1616, loss: 0.1901 +2023-03-04 07:19:25,434 - mmseg - INFO - Iter [100650/160000] lr: 3.750e-05, eta: 3:36:58, time: 0.201, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1837, decode.acc_seg: 92.4525, loss: 0.1837 +2023-03-04 07:19:35,244 - mmseg - INFO - Iter [100700/160000] lr: 3.750e-05, eta: 3:36:47, time: 0.196, data_time: 0.008, memory: 52540, decode.loss_ce: 0.1838, decode.acc_seg: 92.5008, loss: 0.1838 +2023-03-04 07:19:44,916 - mmseg - INFO - Iter [100750/160000] lr: 3.750e-05, eta: 3:36:35, time: 0.193, data_time: 0.008, memory: 52540, decode.loss_ce: 0.1841, decode.acc_seg: 92.2536, loss: 0.1841 +2023-03-04 07:19:54,348 - mmseg - INFO - Iter [100800/160000] lr: 3.750e-05, eta: 3:36:23, time: 0.189, data_time: 0.008, memory: 52540, decode.loss_ce: 0.1801, decode.acc_seg: 92.5141, loss: 0.1801 +2023-03-04 07:20:04,260 - mmseg - INFO - Iter [100850/160000] lr: 3.750e-05, eta: 3:36:11, time: 0.198, data_time: 0.008, memory: 52540, decode.loss_ce: 0.1895, decode.acc_seg: 92.3218, loss: 0.1895 +2023-03-04 07:20:13,758 - mmseg - INFO - Iter [100900/160000] lr: 3.750e-05, eta: 3:36:00, time: 0.190, data_time: 0.008, memory: 52540, decode.loss_ce: 0.1914, decode.acc_seg: 92.1663, loss: 0.1914 +2023-03-04 07:20:23,270 - mmseg - INFO - Iter [100950/160000] lr: 3.750e-05, eta: 3:35:48, time: 0.190, data_time: 0.008, memory: 52540, decode.loss_ce: 0.1923, decode.acc_seg: 92.2002, loss: 0.1923 +2023-03-04 07:20:35,590 - mmseg - INFO - Exp name: ablation_segformer_mit_b2_segformer_head_unet_fc_small_multi_step_ade_pretrained_freeze_embed_160k_ade20k151_finetune_ema_t50.py +2023-03-04 07:20:35,590 - mmseg - INFO - Iter [101000/160000] lr: 3.750e-05, eta: 3:35:38, time: 0.246, data_time: 0.055, memory: 52540, decode.loss_ce: 0.1867, decode.acc_seg: 92.3000, loss: 0.1867 +2023-03-04 07:20:45,348 - mmseg - INFO - Iter [101050/160000] lr: 3.750e-05, eta: 3:35:26, time: 0.195, data_time: 0.008, memory: 52540, decode.loss_ce: 0.1911, decode.acc_seg: 92.1241, loss: 0.1911 +2023-03-04 07:20:55,110 - mmseg - INFO - Iter [101100/160000] lr: 3.750e-05, eta: 3:35:14, time: 0.195, data_time: 0.008, memory: 52540, decode.loss_ce: 0.1826, decode.acc_seg: 92.4796, loss: 0.1826 +2023-03-04 07:21:05,146 - mmseg - INFO - Iter [101150/160000] lr: 3.750e-05, eta: 3:35:03, time: 0.201, data_time: 0.008, memory: 52540, decode.loss_ce: 0.1913, decode.acc_seg: 91.9679, loss: 0.1913 +2023-03-04 07:21:15,172 - mmseg - INFO - Iter [101200/160000] lr: 3.750e-05, eta: 3:34:51, time: 0.201, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1939, decode.acc_seg: 91.9401, loss: 0.1939 +2023-03-04 07:21:24,690 - mmseg - INFO - Iter [101250/160000] lr: 3.750e-05, eta: 3:34:39, time: 0.190, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1850, decode.acc_seg: 92.3447, loss: 0.1850 +2023-03-04 07:21:34,231 - mmseg - INFO - Iter [101300/160000] lr: 3.750e-05, eta: 3:34:28, time: 0.191, data_time: 0.008, memory: 52540, decode.loss_ce: 0.1910, decode.acc_seg: 92.2150, loss: 0.1910 +2023-03-04 07:21:43,641 - mmseg - INFO - Iter [101350/160000] lr: 3.750e-05, eta: 3:34:16, time: 0.188, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1943, decode.acc_seg: 92.0077, loss: 0.1943 +2023-03-04 07:21:53,256 - mmseg - INFO - Iter [101400/160000] lr: 3.750e-05, eta: 3:34:04, time: 0.192, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1899, decode.acc_seg: 92.1877, loss: 0.1899 +2023-03-04 07:22:02,988 - mmseg - INFO - Iter [101450/160000] lr: 3.750e-05, eta: 3:33:52, time: 0.195, data_time: 0.008, memory: 52540, decode.loss_ce: 0.1819, decode.acc_seg: 92.5293, loss: 0.1819 +2023-03-04 07:22:12,900 - mmseg - INFO - Iter [101500/160000] lr: 3.750e-05, eta: 3:33:41, time: 0.198, data_time: 0.008, memory: 52540, decode.loss_ce: 0.1943, decode.acc_seg: 92.1367, loss: 0.1943 +2023-03-04 07:22:22,321 - mmseg - INFO - Iter [101550/160000] lr: 3.750e-05, eta: 3:33:29, time: 0.188, data_time: 0.008, memory: 52540, decode.loss_ce: 0.1791, decode.acc_seg: 92.6617, loss: 0.1791 +2023-03-04 07:22:34,350 - mmseg - INFO - Iter [101600/160000] lr: 3.750e-05, eta: 3:33:19, time: 0.241, data_time: 0.057, memory: 52540, decode.loss_ce: 0.1857, decode.acc_seg: 92.3622, loss: 0.1857 +2023-03-04 07:22:43,929 - mmseg - INFO - Iter [101650/160000] lr: 3.750e-05, eta: 3:33:07, time: 0.192, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1868, decode.acc_seg: 92.4432, loss: 0.1868 +2023-03-04 07:22:53,500 - mmseg - INFO - Iter [101700/160000] lr: 3.750e-05, eta: 3:32:55, time: 0.191, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1910, decode.acc_seg: 92.2860, loss: 0.1910 +2023-03-04 07:23:03,252 - mmseg - INFO - Iter [101750/160000] lr: 3.750e-05, eta: 3:32:43, time: 0.195, data_time: 0.008, memory: 52540, decode.loss_ce: 0.1953, decode.acc_seg: 91.9616, loss: 0.1953 +2023-03-04 07:23:12,777 - mmseg - INFO - Iter [101800/160000] lr: 3.750e-05, eta: 3:32:32, time: 0.191, data_time: 0.008, memory: 52540, decode.loss_ce: 0.1882, decode.acc_seg: 92.2652, loss: 0.1882 +2023-03-04 07:23:22,603 - mmseg - INFO - Iter [101850/160000] lr: 3.750e-05, eta: 3:32:20, time: 0.197, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1819, decode.acc_seg: 92.6110, loss: 0.1819 +2023-03-04 07:23:32,106 - mmseg - INFO - Iter [101900/160000] lr: 3.750e-05, eta: 3:32:08, time: 0.190, data_time: 0.008, memory: 52540, decode.loss_ce: 0.1862, decode.acc_seg: 92.3441, loss: 0.1862 +2023-03-04 07:23:41,923 - mmseg - INFO - Iter [101950/160000] lr: 3.750e-05, eta: 3:31:57, time: 0.196, data_time: 0.008, memory: 52540, decode.loss_ce: 0.1895, decode.acc_seg: 92.0447, loss: 0.1895 +2023-03-04 07:23:51,539 - mmseg - INFO - Exp name: ablation_segformer_mit_b2_segformer_head_unet_fc_small_multi_step_ade_pretrained_freeze_embed_160k_ade20k151_finetune_ema_t50.py +2023-03-04 07:23:51,539 - mmseg - INFO - Iter [102000/160000] lr: 3.750e-05, eta: 3:31:45, time: 0.192, data_time: 0.008, memory: 52540, decode.loss_ce: 0.1838, decode.acc_seg: 92.2403, loss: 0.1838 +2023-03-04 07:24:01,066 - mmseg - INFO - Iter [102050/160000] lr: 3.750e-05, eta: 3:31:33, time: 0.191, data_time: 0.008, memory: 52540, decode.loss_ce: 0.1861, decode.acc_seg: 92.2592, loss: 0.1861 +2023-03-04 07:24:10,726 - mmseg - INFO - Iter [102100/160000] lr: 3.750e-05, eta: 3:31:22, time: 0.193, data_time: 0.008, memory: 52540, decode.loss_ce: 0.1874, decode.acc_seg: 92.2460, loss: 0.1874 +2023-03-04 07:24:20,238 - mmseg - INFO - Iter [102150/160000] lr: 3.750e-05, eta: 3:31:10, time: 0.190, data_time: 0.008, memory: 52540, decode.loss_ce: 0.1798, decode.acc_seg: 92.5968, loss: 0.1798 +2023-03-04 07:24:29,862 - mmseg - INFO - Iter [102200/160000] lr: 3.750e-05, eta: 3:30:58, time: 0.192, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1931, decode.acc_seg: 92.1131, loss: 0.1931 +2023-03-04 07:24:41,698 - mmseg - INFO - Iter [102250/160000] lr: 3.750e-05, eta: 3:30:48, time: 0.237, data_time: 0.054, memory: 52540, decode.loss_ce: 0.1897, decode.acc_seg: 92.2733, loss: 0.1897 +2023-03-04 07:24:51,184 - mmseg - INFO - Iter [102300/160000] lr: 3.750e-05, eta: 3:30:36, time: 0.190, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1877, decode.acc_seg: 92.3439, loss: 0.1877 +2023-03-04 07:25:00,735 - mmseg - INFO - Iter [102350/160000] lr: 3.750e-05, eta: 3:30:24, time: 0.191, data_time: 0.008, memory: 52540, decode.loss_ce: 0.1838, decode.acc_seg: 92.2133, loss: 0.1838 +2023-03-04 07:25:10,227 - mmseg - INFO - Iter [102400/160000] lr: 3.750e-05, eta: 3:30:12, time: 0.190, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1840, decode.acc_seg: 92.3483, loss: 0.1840 +2023-03-04 07:25:20,137 - mmseg - INFO - Iter [102450/160000] lr: 3.750e-05, eta: 3:30:01, time: 0.198, data_time: 0.008, memory: 52540, decode.loss_ce: 0.1971, decode.acc_seg: 91.9082, loss: 0.1971 +2023-03-04 07:25:29,835 - mmseg - INFO - Iter [102500/160000] lr: 3.750e-05, eta: 3:29:49, time: 0.194, data_time: 0.008, memory: 52540, decode.loss_ce: 0.1913, decode.acc_seg: 92.1019, loss: 0.1913 +2023-03-04 07:25:39,282 - mmseg - INFO - Iter [102550/160000] lr: 3.750e-05, eta: 3:29:37, time: 0.189, data_time: 0.008, memory: 52540, decode.loss_ce: 0.1866, decode.acc_seg: 92.2928, loss: 0.1866 +2023-03-04 07:25:48,823 - mmseg - INFO - Iter [102600/160000] lr: 3.750e-05, eta: 3:29:26, time: 0.191, data_time: 0.008, memory: 52540, decode.loss_ce: 0.1851, decode.acc_seg: 92.5458, loss: 0.1851 +2023-03-04 07:25:58,431 - mmseg - INFO - Iter [102650/160000] lr: 3.750e-05, eta: 3:29:14, time: 0.192, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1854, decode.acc_seg: 92.4204, loss: 0.1854 +2023-03-04 07:26:07,977 - mmseg - INFO - Iter [102700/160000] lr: 3.750e-05, eta: 3:29:02, time: 0.191, data_time: 0.008, memory: 52540, decode.loss_ce: 0.1855, decode.acc_seg: 92.2950, loss: 0.1855 +2023-03-04 07:26:17,590 - mmseg - INFO - Iter [102750/160000] lr: 3.750e-05, eta: 3:28:51, time: 0.192, data_time: 0.008, memory: 52540, decode.loss_ce: 0.1836, decode.acc_seg: 92.3698, loss: 0.1836 +2023-03-04 07:26:27,135 - mmseg - INFO - Iter [102800/160000] lr: 3.750e-05, eta: 3:28:39, time: 0.191, data_time: 0.008, memory: 52540, decode.loss_ce: 0.1797, decode.acc_seg: 92.5716, loss: 0.1797 +2023-03-04 07:26:36,874 - mmseg - INFO - Iter [102850/160000] lr: 3.750e-05, eta: 3:28:27, time: 0.195, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1884, decode.acc_seg: 92.3594, loss: 0.1884 +2023-03-04 07:26:48,905 - mmseg - INFO - Iter [102900/160000] lr: 3.750e-05, eta: 3:28:17, time: 0.241, data_time: 0.056, memory: 52540, decode.loss_ce: 0.1967, decode.acc_seg: 91.9117, loss: 0.1967 +2023-03-04 07:26:58,569 - mmseg - INFO - Iter [102950/160000] lr: 3.750e-05, eta: 3:28:05, time: 0.193, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1921, decode.acc_seg: 92.0767, loss: 0.1921 +2023-03-04 07:27:08,061 - mmseg - INFO - Exp name: ablation_segformer_mit_b2_segformer_head_unet_fc_small_multi_step_ade_pretrained_freeze_embed_160k_ade20k151_finetune_ema_t50.py +2023-03-04 07:27:08,061 - mmseg - INFO - Iter [103000/160000] lr: 3.750e-05, eta: 3:27:53, time: 0.190, data_time: 0.008, memory: 52540, decode.loss_ce: 0.1894, decode.acc_seg: 92.2940, loss: 0.1894 +2023-03-04 07:27:17,908 - mmseg - INFO - Iter [103050/160000] lr: 3.750e-05, eta: 3:27:42, time: 0.197, data_time: 0.008, memory: 52540, decode.loss_ce: 0.1997, decode.acc_seg: 91.8784, loss: 0.1997 +2023-03-04 07:27:27,734 - mmseg - INFO - Iter [103100/160000] lr: 3.750e-05, eta: 3:27:30, time: 0.197, data_time: 0.008, memory: 52540, decode.loss_ce: 0.1862, decode.acc_seg: 92.2607, loss: 0.1862 +2023-03-04 07:27:37,370 - mmseg - INFO - Iter [103150/160000] lr: 3.750e-05, eta: 3:27:19, time: 0.193, data_time: 0.008, memory: 52540, decode.loss_ce: 0.1889, decode.acc_seg: 92.1969, loss: 0.1889 +2023-03-04 07:27:46,990 - mmseg - INFO - Iter [103200/160000] lr: 3.750e-05, eta: 3:27:07, time: 0.192, data_time: 0.008, memory: 52540, decode.loss_ce: 0.1906, decode.acc_seg: 92.2744, loss: 0.1906 +2023-03-04 07:27:56,662 - mmseg - INFO - Iter [103250/160000] lr: 3.750e-05, eta: 3:26:55, time: 0.193, data_time: 0.008, memory: 52540, decode.loss_ce: 0.1874, decode.acc_seg: 92.2433, loss: 0.1874 +2023-03-04 07:28:06,304 - mmseg - INFO - Iter [103300/160000] lr: 3.750e-05, eta: 3:26:44, time: 0.193, data_time: 0.008, memory: 52540, decode.loss_ce: 0.1921, decode.acc_seg: 92.1615, loss: 0.1921 +2023-03-04 07:28:15,835 - mmseg - INFO - Iter [103350/160000] lr: 3.750e-05, eta: 3:26:32, time: 0.191, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1871, decode.acc_seg: 92.2928, loss: 0.1871 +2023-03-04 07:28:25,427 - mmseg - INFO - Iter [103400/160000] lr: 3.750e-05, eta: 3:26:20, time: 0.192, data_time: 0.008, memory: 52540, decode.loss_ce: 0.1810, decode.acc_seg: 92.5380, loss: 0.1810 +2023-03-04 07:28:34,984 - mmseg - INFO - Iter [103450/160000] lr: 3.750e-05, eta: 3:26:09, time: 0.191, data_time: 0.008, memory: 52540, decode.loss_ce: 0.1879, decode.acc_seg: 92.1489, loss: 0.1879 +2023-03-04 07:28:47,193 - mmseg - INFO - Iter [103500/160000] lr: 3.750e-05, eta: 3:25:58, time: 0.244, data_time: 0.055, memory: 52540, decode.loss_ce: 0.1884, decode.acc_seg: 92.3780, loss: 0.1884 +2023-03-04 07:28:56,876 - mmseg - INFO - Iter [103550/160000] lr: 3.750e-05, eta: 3:25:47, time: 0.194, data_time: 0.008, memory: 52540, decode.loss_ce: 0.1893, decode.acc_seg: 92.1926, loss: 0.1893 +2023-03-04 07:29:06,327 - mmseg - INFO - Iter [103600/160000] lr: 3.750e-05, eta: 3:25:35, time: 0.189, data_time: 0.008, memory: 52540, decode.loss_ce: 0.1906, decode.acc_seg: 92.1957, loss: 0.1906 +2023-03-04 07:29:15,943 - mmseg - INFO - Iter [103650/160000] lr: 3.750e-05, eta: 3:25:23, time: 0.192, data_time: 0.008, memory: 52540, decode.loss_ce: 0.1919, decode.acc_seg: 92.1407, loss: 0.1919 +2023-03-04 07:29:25,379 - mmseg - INFO - Iter [103700/160000] lr: 3.750e-05, eta: 3:25:12, time: 0.189, data_time: 0.008, memory: 52540, decode.loss_ce: 0.1860, decode.acc_seg: 92.4380, loss: 0.1860 +2023-03-04 07:29:34,849 - mmseg - INFO - Iter [103750/160000] lr: 3.750e-05, eta: 3:25:00, time: 0.189, data_time: 0.008, memory: 52540, decode.loss_ce: 0.1870, decode.acc_seg: 92.3920, loss: 0.1870 +2023-03-04 07:29:44,408 - mmseg - INFO - Iter [103800/160000] lr: 3.750e-05, eta: 3:24:48, time: 0.191, data_time: 0.008, memory: 52540, decode.loss_ce: 0.1889, decode.acc_seg: 92.2143, loss: 0.1889 +2023-03-04 07:29:53,964 - mmseg - INFO - Iter [103850/160000] lr: 3.750e-05, eta: 3:24:37, time: 0.191, data_time: 0.008, memory: 52540, decode.loss_ce: 0.1918, decode.acc_seg: 92.1403, loss: 0.1918 +2023-03-04 07:30:03,831 - mmseg - INFO - Iter [103900/160000] lr: 3.750e-05, eta: 3:24:25, time: 0.197, data_time: 0.008, memory: 52540, decode.loss_ce: 0.2008, decode.acc_seg: 91.8679, loss: 0.2008 +2023-03-04 07:30:13,561 - mmseg - INFO - Iter [103950/160000] lr: 3.750e-05, eta: 3:24:13, time: 0.195, data_time: 0.008, memory: 52540, decode.loss_ce: 0.1815, decode.acc_seg: 92.5453, loss: 0.1815 +2023-03-04 07:30:23,441 - mmseg - INFO - Exp name: ablation_segformer_mit_b2_segformer_head_unet_fc_small_multi_step_ade_pretrained_freeze_embed_160k_ade20k151_finetune_ema_t50.py +2023-03-04 07:30:23,441 - mmseg - INFO - Iter [104000/160000] lr: 3.750e-05, eta: 3:24:02, time: 0.198, data_time: 0.008, memory: 52540, decode.loss_ce: 0.1894, decode.acc_seg: 92.1160, loss: 0.1894 +2023-03-04 07:30:33,126 - mmseg - INFO - Iter [104050/160000] lr: 3.750e-05, eta: 3:23:50, time: 0.194, data_time: 0.008, memory: 52540, decode.loss_ce: 0.1814, decode.acc_seg: 92.7064, loss: 0.1814 +2023-03-04 07:30:42,670 - mmseg - INFO - Iter [104100/160000] lr: 3.750e-05, eta: 3:23:39, time: 0.191, data_time: 0.008, memory: 52540, decode.loss_ce: 0.1853, decode.acc_seg: 92.4539, loss: 0.1853 +2023-03-04 07:30:54,801 - mmseg - INFO - Iter [104150/160000] lr: 3.750e-05, eta: 3:23:28, time: 0.243, data_time: 0.058, memory: 52540, decode.loss_ce: 0.1878, decode.acc_seg: 92.3314, loss: 0.1878 +2023-03-04 07:31:04,442 - mmseg - INFO - Iter [104200/160000] lr: 3.750e-05, eta: 3:23:17, time: 0.193, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1885, decode.acc_seg: 92.2246, loss: 0.1885 +2023-03-04 07:31:14,423 - mmseg - INFO - Iter [104250/160000] lr: 3.750e-05, eta: 3:23:05, time: 0.200, data_time: 0.008, memory: 52540, decode.loss_ce: 0.1871, decode.acc_seg: 92.2048, loss: 0.1871 +2023-03-04 07:31:24,022 - mmseg - INFO - Iter [104300/160000] lr: 3.750e-05, eta: 3:22:54, time: 0.192, data_time: 0.008, memory: 52540, decode.loss_ce: 0.1865, decode.acc_seg: 92.3487, loss: 0.1865 +2023-03-04 07:31:33,733 - mmseg - INFO - Iter [104350/160000] lr: 3.750e-05, eta: 3:22:42, time: 0.194, data_time: 0.008, memory: 52540, decode.loss_ce: 0.1878, decode.acc_seg: 92.2263, loss: 0.1878 +2023-03-04 07:31:43,357 - mmseg - INFO - Iter [104400/160000] lr: 3.750e-05, eta: 3:22:31, time: 0.192, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1827, decode.acc_seg: 92.4258, loss: 0.1827 +2023-03-04 07:31:53,213 - mmseg - INFO - Iter [104450/160000] lr: 3.750e-05, eta: 3:22:19, time: 0.197, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1932, decode.acc_seg: 92.0773, loss: 0.1932 +2023-03-04 07:32:02,918 - mmseg - INFO - Iter [104500/160000] lr: 3.750e-05, eta: 3:22:07, time: 0.194, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1831, decode.acc_seg: 92.5497, loss: 0.1831 +2023-03-04 07:32:12,618 - mmseg - INFO - Iter [104550/160000] lr: 3.750e-05, eta: 3:21:56, time: 0.194, data_time: 0.008, memory: 52540, decode.loss_ce: 0.1842, decode.acc_seg: 92.3229, loss: 0.1842 +2023-03-04 07:32:22,256 - mmseg - INFO - Iter [104600/160000] lr: 3.750e-05, eta: 3:21:44, time: 0.193, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1799, decode.acc_seg: 92.4955, loss: 0.1799 +2023-03-04 07:32:31,862 - mmseg - INFO - Iter [104650/160000] lr: 3.750e-05, eta: 3:21:33, time: 0.192, data_time: 0.008, memory: 52540, decode.loss_ce: 0.1865, decode.acc_seg: 92.3348, loss: 0.1865 +2023-03-04 07:32:41,507 - mmseg - INFO - Iter [104700/160000] lr: 3.750e-05, eta: 3:21:21, time: 0.193, data_time: 0.008, memory: 52540, decode.loss_ce: 0.1835, decode.acc_seg: 92.3360, loss: 0.1835 +2023-03-04 07:32:53,482 - mmseg - INFO - Iter [104750/160000] lr: 3.750e-05, eta: 3:21:11, time: 0.239, data_time: 0.057, memory: 52540, decode.loss_ce: 0.1926, decode.acc_seg: 92.1695, loss: 0.1926 +2023-03-04 07:33:03,129 - mmseg - INFO - Iter [104800/160000] lr: 3.750e-05, eta: 3:20:59, time: 0.193, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1992, decode.acc_seg: 91.8586, loss: 0.1992 +2023-03-04 07:33:12,786 - mmseg - INFO - Iter [104850/160000] lr: 3.750e-05, eta: 3:20:48, time: 0.193, data_time: 0.008, memory: 52540, decode.loss_ce: 0.1933, decode.acc_seg: 92.2515, loss: 0.1933 +2023-03-04 07:33:22,271 - mmseg - INFO - Iter [104900/160000] lr: 3.750e-05, eta: 3:20:36, time: 0.190, data_time: 0.008, memory: 52540, decode.loss_ce: 0.1830, decode.acc_seg: 92.2022, loss: 0.1830 +2023-03-04 07:33:31,742 - mmseg - INFO - Iter [104950/160000] lr: 3.750e-05, eta: 3:20:24, time: 0.189, data_time: 0.008, memory: 52540, decode.loss_ce: 0.1873, decode.acc_seg: 92.2195, loss: 0.1873 +2023-03-04 07:33:41,176 - mmseg - INFO - Exp name: ablation_segformer_mit_b2_segformer_head_unet_fc_small_multi_step_ade_pretrained_freeze_embed_160k_ade20k151_finetune_ema_t50.py +2023-03-04 07:33:41,176 - mmseg - INFO - Iter [105000/160000] lr: 3.750e-05, eta: 3:20:12, time: 0.189, data_time: 0.008, memory: 52540, decode.loss_ce: 0.1922, decode.acc_seg: 92.1590, loss: 0.1922 +2023-03-04 07:33:50,903 - mmseg - INFO - Iter [105050/160000] lr: 3.750e-05, eta: 3:20:01, time: 0.195, data_time: 0.008, memory: 52540, decode.loss_ce: 0.1860, decode.acc_seg: 92.2353, loss: 0.1860 +2023-03-04 07:34:00,647 - mmseg - INFO - Iter [105100/160000] lr: 3.750e-05, eta: 3:19:49, time: 0.195, data_time: 0.008, memory: 52540, decode.loss_ce: 0.1860, decode.acc_seg: 92.4819, loss: 0.1860 +2023-03-04 07:34:10,685 - mmseg - INFO - Iter [105150/160000] lr: 3.750e-05, eta: 3:19:38, time: 0.201, data_time: 0.008, memory: 52540, decode.loss_ce: 0.1864, decode.acc_seg: 92.4536, loss: 0.1864 +2023-03-04 07:34:20,221 - mmseg - INFO - Iter [105200/160000] lr: 3.750e-05, eta: 3:19:26, time: 0.191, data_time: 0.008, memory: 52540, decode.loss_ce: 0.1835, decode.acc_seg: 92.4976, loss: 0.1835 +2023-03-04 07:34:29,992 - mmseg - INFO - Iter [105250/160000] lr: 3.750e-05, eta: 3:19:15, time: 0.195, data_time: 0.008, memory: 52540, decode.loss_ce: 0.1853, decode.acc_seg: 92.4383, loss: 0.1853 +2023-03-04 07:34:39,546 - mmseg - INFO - Iter [105300/160000] lr: 3.750e-05, eta: 3:19:03, time: 0.191, data_time: 0.008, memory: 52540, decode.loss_ce: 0.1863, decode.acc_seg: 92.4091, loss: 0.1863 +2023-03-04 07:34:49,020 - mmseg - INFO - Iter [105350/160000] lr: 3.750e-05, eta: 3:18:52, time: 0.189, data_time: 0.008, memory: 52540, decode.loss_ce: 0.1901, decode.acc_seg: 92.2357, loss: 0.1901 +2023-03-04 07:35:01,075 - mmseg - INFO - Iter [105400/160000] lr: 3.750e-05, eta: 3:18:41, time: 0.241, data_time: 0.056, memory: 52540, decode.loss_ce: 0.1912, decode.acc_seg: 92.1459, loss: 0.1912 +2023-03-04 07:35:11,039 - mmseg - INFO - Iter [105450/160000] lr: 3.750e-05, eta: 3:18:30, time: 0.199, data_time: 0.008, memory: 52540, decode.loss_ce: 0.1808, decode.acc_seg: 92.6188, loss: 0.1808 +2023-03-04 07:35:20,900 - mmseg - INFO - Iter [105500/160000] lr: 3.750e-05, eta: 3:18:18, time: 0.197, data_time: 0.008, memory: 52540, decode.loss_ce: 0.1856, decode.acc_seg: 92.4258, loss: 0.1856 +2023-03-04 07:35:30,340 - mmseg - INFO - Iter [105550/160000] lr: 3.750e-05, eta: 3:18:07, time: 0.189, data_time: 0.008, memory: 52540, decode.loss_ce: 0.1858, decode.acc_seg: 92.3095, loss: 0.1858 +2023-03-04 07:35:39,904 - mmseg - INFO - Iter [105600/160000] lr: 3.750e-05, eta: 3:17:55, time: 0.191, data_time: 0.008, memory: 52540, decode.loss_ce: 0.1851, decode.acc_seg: 92.3873, loss: 0.1851 +2023-03-04 07:35:49,378 - mmseg - INFO - Iter [105650/160000] lr: 3.750e-05, eta: 3:17:43, time: 0.189, data_time: 0.008, memory: 52540, decode.loss_ce: 0.1832, decode.acc_seg: 92.3796, loss: 0.1832 +2023-03-04 07:35:59,092 - mmseg - INFO - Iter [105700/160000] lr: 3.750e-05, eta: 3:17:32, time: 0.194, data_time: 0.008, memory: 52540, decode.loss_ce: 0.1835, decode.acc_seg: 92.3879, loss: 0.1835 +2023-03-04 07:36:09,015 - mmseg - INFO - Iter [105750/160000] lr: 3.750e-05, eta: 3:17:20, time: 0.198, data_time: 0.008, memory: 52540, decode.loss_ce: 0.1865, decode.acc_seg: 92.2273, loss: 0.1865 +2023-03-04 07:36:18,666 - mmseg - INFO - Iter [105800/160000] lr: 3.750e-05, eta: 3:17:09, time: 0.193, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1922, decode.acc_seg: 91.9350, loss: 0.1922 +2023-03-04 07:36:28,579 - mmseg - INFO - Iter [105850/160000] lr: 3.750e-05, eta: 3:16:57, time: 0.198, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1968, decode.acc_seg: 91.9995, loss: 0.1968 +2023-03-04 07:36:38,250 - mmseg - INFO - Iter [105900/160000] lr: 3.750e-05, eta: 3:16:46, time: 0.193, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1898, decode.acc_seg: 92.2646, loss: 0.1898 +2023-03-04 07:36:48,025 - mmseg - INFO - Iter [105950/160000] lr: 3.750e-05, eta: 3:16:34, time: 0.196, data_time: 0.008, memory: 52540, decode.loss_ce: 0.1922, decode.acc_seg: 92.1868, loss: 0.1922 +2023-03-04 07:36:57,558 - mmseg - INFO - Exp name: ablation_segformer_mit_b2_segformer_head_unet_fc_small_multi_step_ade_pretrained_freeze_embed_160k_ade20k151_finetune_ema_t50.py +2023-03-04 07:36:57,558 - mmseg - INFO - Iter [106000/160000] lr: 3.750e-05, eta: 3:16:23, time: 0.191, data_time: 0.008, memory: 52540, decode.loss_ce: 0.1974, decode.acc_seg: 92.0117, loss: 0.1974 +2023-03-04 07:37:09,567 - mmseg - INFO - Iter [106050/160000] lr: 3.750e-05, eta: 3:16:12, time: 0.240, data_time: 0.053, memory: 52540, decode.loss_ce: 0.1837, decode.acc_seg: 92.3380, loss: 0.1837 +2023-03-04 07:37:19,443 - mmseg - INFO - Iter [106100/160000] lr: 3.750e-05, eta: 3:16:01, time: 0.197, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1901, decode.acc_seg: 92.1507, loss: 0.1901 +2023-03-04 07:37:28,966 - mmseg - INFO - Iter [106150/160000] lr: 3.750e-05, eta: 3:15:49, time: 0.191, data_time: 0.008, memory: 52540, decode.loss_ce: 0.1897, decode.acc_seg: 92.2186, loss: 0.1897 +2023-03-04 07:37:38,410 - mmseg - INFO - Iter [106200/160000] lr: 3.750e-05, eta: 3:15:38, time: 0.189, data_time: 0.008, memory: 52540, decode.loss_ce: 0.1896, decode.acc_seg: 92.2521, loss: 0.1896 +2023-03-04 07:37:47,920 - mmseg - INFO - Iter [106250/160000] lr: 3.750e-05, eta: 3:15:26, time: 0.190, data_time: 0.008, memory: 52540, decode.loss_ce: 0.1863, decode.acc_seg: 92.2929, loss: 0.1863 +2023-03-04 07:37:57,639 - mmseg - INFO - Iter [106300/160000] lr: 3.750e-05, eta: 3:15:15, time: 0.194, data_time: 0.008, memory: 52540, decode.loss_ce: 0.1789, decode.acc_seg: 92.6059, loss: 0.1789 +2023-03-04 07:38:07,258 - mmseg - INFO - Iter [106350/160000] lr: 3.750e-05, eta: 3:15:03, time: 0.192, data_time: 0.008, memory: 52540, decode.loss_ce: 0.1833, decode.acc_seg: 92.4266, loss: 0.1833 +2023-03-04 07:38:16,933 - mmseg - INFO - Iter [106400/160000] lr: 3.750e-05, eta: 3:14:52, time: 0.193, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1824, decode.acc_seg: 92.4510, loss: 0.1824 +2023-03-04 07:38:26,656 - mmseg - INFO - Iter [106450/160000] lr: 3.750e-05, eta: 3:14:40, time: 0.195, data_time: 0.008, memory: 52540, decode.loss_ce: 0.1933, decode.acc_seg: 92.1450, loss: 0.1933 +2023-03-04 07:38:36,467 - mmseg - INFO - Iter [106500/160000] lr: 3.750e-05, eta: 3:14:29, time: 0.196, data_time: 0.008, memory: 52540, decode.loss_ce: 0.1914, decode.acc_seg: 92.2265, loss: 0.1914 +2023-03-04 07:38:46,132 - mmseg - INFO - Iter [106550/160000] lr: 3.750e-05, eta: 3:14:17, time: 0.193, data_time: 0.008, memory: 52540, decode.loss_ce: 0.1875, decode.acc_seg: 92.2253, loss: 0.1875 +2023-03-04 07:38:55,549 - mmseg - INFO - Iter [106600/160000] lr: 3.750e-05, eta: 3:14:05, time: 0.188, data_time: 0.008, memory: 52540, decode.loss_ce: 0.1924, decode.acc_seg: 92.1547, loss: 0.1924 +2023-03-04 07:39:07,495 - mmseg - INFO - Iter [106650/160000] lr: 3.750e-05, eta: 3:13:55, time: 0.239, data_time: 0.053, memory: 52540, decode.loss_ce: 0.1872, decode.acc_seg: 92.3540, loss: 0.1872 +2023-03-04 07:39:17,319 - mmseg - INFO - Iter [106700/160000] lr: 3.750e-05, eta: 3:13:44, time: 0.196, data_time: 0.008, memory: 52540, decode.loss_ce: 0.1910, decode.acc_seg: 92.1858, loss: 0.1910 +2023-03-04 07:39:27,186 - mmseg - INFO - Iter [106750/160000] lr: 3.750e-05, eta: 3:13:32, time: 0.197, data_time: 0.008, memory: 52540, decode.loss_ce: 0.1919, decode.acc_seg: 92.1603, loss: 0.1919 +2023-03-04 07:39:36,650 - mmseg - INFO - Iter [106800/160000] lr: 3.750e-05, eta: 3:13:21, time: 0.189, data_time: 0.008, memory: 52540, decode.loss_ce: 0.1812, decode.acc_seg: 92.5267, loss: 0.1812 +2023-03-04 07:39:46,414 - mmseg - INFO - Iter [106850/160000] lr: 3.750e-05, eta: 3:13:09, time: 0.195, data_time: 0.008, memory: 52540, decode.loss_ce: 0.1915, decode.acc_seg: 92.1112, loss: 0.1915 +2023-03-04 07:39:55,980 - mmseg - INFO - Iter [106900/160000] lr: 3.750e-05, eta: 3:12:57, time: 0.191, data_time: 0.008, memory: 52540, decode.loss_ce: 0.1884, decode.acc_seg: 92.2321, loss: 0.1884 +2023-03-04 07:40:05,554 - mmseg - INFO - Iter [106950/160000] lr: 3.750e-05, eta: 3:12:46, time: 0.191, data_time: 0.008, memory: 52540, decode.loss_ce: 0.1843, decode.acc_seg: 92.4011, loss: 0.1843 +2023-03-04 07:40:15,046 - mmseg - INFO - Exp name: ablation_segformer_mit_b2_segformer_head_unet_fc_small_multi_step_ade_pretrained_freeze_embed_160k_ade20k151_finetune_ema_t50.py +2023-03-04 07:40:15,046 - mmseg - INFO - Iter [107000/160000] lr: 3.750e-05, eta: 3:12:34, time: 0.190, data_time: 0.008, memory: 52540, decode.loss_ce: 0.1867, decode.acc_seg: 92.2908, loss: 0.1867 +2023-03-04 07:40:24,535 - mmseg - INFO - Iter [107050/160000] lr: 3.750e-05, eta: 3:12:23, time: 0.190, data_time: 0.008, memory: 52540, decode.loss_ce: 0.1893, decode.acc_seg: 92.3108, loss: 0.1893 +2023-03-04 07:40:34,195 - mmseg - INFO - Iter [107100/160000] lr: 3.750e-05, eta: 3:12:11, time: 0.193, data_time: 0.008, memory: 52540, decode.loss_ce: 0.1903, decode.acc_seg: 92.2213, loss: 0.1903 +2023-03-04 07:40:43,726 - mmseg - INFO - Iter [107150/160000] lr: 3.750e-05, eta: 3:12:00, time: 0.191, data_time: 0.008, memory: 52540, decode.loss_ce: 0.1838, decode.acc_seg: 92.4807, loss: 0.1838 +2023-03-04 07:40:53,283 - mmseg - INFO - Iter [107200/160000] lr: 3.750e-05, eta: 3:11:48, time: 0.191, data_time: 0.008, memory: 52540, decode.loss_ce: 0.1917, decode.acc_seg: 92.2150, loss: 0.1917 +2023-03-04 07:41:02,846 - mmseg - INFO - Iter [107250/160000] lr: 3.750e-05, eta: 3:11:37, time: 0.191, data_time: 0.008, memory: 52540, decode.loss_ce: 0.1857, decode.acc_seg: 92.3734, loss: 0.1857 +2023-03-04 07:41:15,042 - mmseg - INFO - Iter [107300/160000] lr: 3.750e-05, eta: 3:11:26, time: 0.244, data_time: 0.054, memory: 52540, decode.loss_ce: 0.1870, decode.acc_seg: 92.2481, loss: 0.1870 +2023-03-04 07:41:24,692 - mmseg - INFO - Iter [107350/160000] lr: 3.750e-05, eta: 3:11:15, time: 0.193, data_time: 0.008, memory: 52540, decode.loss_ce: 0.1953, decode.acc_seg: 91.9806, loss: 0.1953 +2023-03-04 07:41:34,134 - mmseg - INFO - Iter [107400/160000] lr: 3.750e-05, eta: 3:11:03, time: 0.189, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1912, decode.acc_seg: 92.1766, loss: 0.1912 +2023-03-04 07:41:43,751 - mmseg - INFO - Iter [107450/160000] lr: 3.750e-05, eta: 3:10:52, time: 0.192, data_time: 0.008, memory: 52540, decode.loss_ce: 0.1834, decode.acc_seg: 92.3753, loss: 0.1834 +2023-03-04 07:41:53,312 - mmseg - INFO - Iter [107500/160000] lr: 3.750e-05, eta: 3:10:40, time: 0.191, data_time: 0.008, memory: 52540, decode.loss_ce: 0.1859, decode.acc_seg: 92.3562, loss: 0.1859 +2023-03-04 07:42:03,052 - mmseg - INFO - Iter [107550/160000] lr: 3.750e-05, eta: 3:10:29, time: 0.194, data_time: 0.008, memory: 52540, decode.loss_ce: 0.1903, decode.acc_seg: 92.1837, loss: 0.1903 +2023-03-04 07:42:12,561 - mmseg - INFO - Iter [107600/160000] lr: 3.750e-05, eta: 3:10:17, time: 0.190, data_time: 0.008, memory: 52540, decode.loss_ce: 0.1886, decode.acc_seg: 92.1230, loss: 0.1886 +2023-03-04 07:42:22,253 - mmseg - INFO - Iter [107650/160000] lr: 3.750e-05, eta: 3:10:06, time: 0.194, data_time: 0.008, memory: 52540, decode.loss_ce: 0.1868, decode.acc_seg: 92.3764, loss: 0.1868 +2023-03-04 07:42:31,856 - mmseg - INFO - Iter [107700/160000] lr: 3.750e-05, eta: 3:09:54, time: 0.192, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1821, decode.acc_seg: 92.5489, loss: 0.1821 +2023-03-04 07:42:41,669 - mmseg - INFO - Iter [107750/160000] lr: 3.750e-05, eta: 3:09:43, time: 0.196, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1864, decode.acc_seg: 92.1510, loss: 0.1864 +2023-03-04 07:42:51,358 - mmseg - INFO - Iter [107800/160000] lr: 3.750e-05, eta: 3:09:31, time: 0.194, data_time: 0.008, memory: 52540, decode.loss_ce: 0.1904, decode.acc_seg: 92.2038, loss: 0.1904 +2023-03-04 07:43:01,077 - mmseg - INFO - Iter [107850/160000] lr: 3.750e-05, eta: 3:09:20, time: 0.194, data_time: 0.008, memory: 52540, decode.loss_ce: 0.1867, decode.acc_seg: 92.3699, loss: 0.1867 +2023-03-04 07:43:10,788 - mmseg - INFO - Iter [107900/160000] lr: 3.750e-05, eta: 3:09:08, time: 0.194, data_time: 0.008, memory: 52540, decode.loss_ce: 0.1862, decode.acc_seg: 92.2289, loss: 0.1862 +2023-03-04 07:43:23,022 - mmseg - INFO - Iter [107950/160000] lr: 3.750e-05, eta: 3:08:58, time: 0.245, data_time: 0.053, memory: 52540, decode.loss_ce: 0.1906, decode.acc_seg: 92.2393, loss: 0.1906 +2023-03-04 07:43:32,640 - mmseg - INFO - Exp name: ablation_segformer_mit_b2_segformer_head_unet_fc_small_multi_step_ade_pretrained_freeze_embed_160k_ade20k151_finetune_ema_t50.py +2023-03-04 07:43:32,641 - mmseg - INFO - Iter [108000/160000] lr: 3.750e-05, eta: 3:08:46, time: 0.192, data_time: 0.008, memory: 52540, decode.loss_ce: 0.1907, decode.acc_seg: 92.1263, loss: 0.1907 +2023-03-04 07:43:42,078 - mmseg - INFO - Iter [108050/160000] lr: 3.750e-05, eta: 3:08:35, time: 0.189, data_time: 0.008, memory: 52540, decode.loss_ce: 0.1924, decode.acc_seg: 92.2032, loss: 0.1924 +2023-03-04 07:43:51,722 - mmseg - INFO - Iter [108100/160000] lr: 3.750e-05, eta: 3:08:23, time: 0.193, data_time: 0.008, memory: 52540, decode.loss_ce: 0.1911, decode.acc_seg: 92.0582, loss: 0.1911 +2023-03-04 07:44:01,561 - mmseg - INFO - Iter [108150/160000] lr: 3.750e-05, eta: 3:08:12, time: 0.197, data_time: 0.008, memory: 52540, decode.loss_ce: 0.1850, decode.acc_seg: 92.4634, loss: 0.1850 +2023-03-04 07:44:11,010 - mmseg - INFO - Iter [108200/160000] lr: 3.750e-05, eta: 3:08:00, time: 0.189, data_time: 0.008, memory: 52540, decode.loss_ce: 0.1878, decode.acc_seg: 92.3897, loss: 0.1878 +2023-03-04 07:44:20,557 - mmseg - INFO - Iter [108250/160000] lr: 3.750e-05, eta: 3:07:49, time: 0.191, data_time: 0.008, memory: 52540, decode.loss_ce: 0.1899, decode.acc_seg: 92.3647, loss: 0.1899 +2023-03-04 07:44:30,227 - mmseg - INFO - Iter [108300/160000] lr: 3.750e-05, eta: 3:07:37, time: 0.193, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1922, decode.acc_seg: 92.2582, loss: 0.1922 +2023-03-04 07:44:39,775 - mmseg - INFO - Iter [108350/160000] lr: 3.750e-05, eta: 3:07:26, time: 0.191, data_time: 0.008, memory: 52540, decode.loss_ce: 0.1909, decode.acc_seg: 92.1393, loss: 0.1909 +2023-03-04 07:44:49,365 - mmseg - INFO - Iter [108400/160000] lr: 3.750e-05, eta: 3:07:14, time: 0.192, data_time: 0.008, memory: 52540, decode.loss_ce: 0.1836, decode.acc_seg: 92.5137, loss: 0.1836 +2023-03-04 07:44:59,078 - mmseg - INFO - Iter [108450/160000] lr: 3.750e-05, eta: 3:07:03, time: 0.194, data_time: 0.008, memory: 52540, decode.loss_ce: 0.1846, decode.acc_seg: 92.3714, loss: 0.1846 +2023-03-04 07:45:08,584 - mmseg - INFO - Iter [108500/160000] lr: 3.750e-05, eta: 3:06:51, time: 0.190, data_time: 0.008, memory: 52540, decode.loss_ce: 0.1888, decode.acc_seg: 92.3695, loss: 0.1888 +2023-03-04 07:45:20,624 - mmseg - INFO - Iter [108550/160000] lr: 3.750e-05, eta: 3:06:41, time: 0.241, data_time: 0.053, memory: 52540, decode.loss_ce: 0.1908, decode.acc_seg: 92.1129, loss: 0.1908 +2023-03-04 07:45:30,246 - mmseg - INFO - Iter [108600/160000] lr: 3.750e-05, eta: 3:06:30, time: 0.192, data_time: 0.008, memory: 52540, decode.loss_ce: 0.1830, decode.acc_seg: 92.5005, loss: 0.1830 +2023-03-04 07:45:39,968 - mmseg - INFO - Iter [108650/160000] lr: 3.750e-05, eta: 3:06:18, time: 0.194, data_time: 0.008, memory: 52540, decode.loss_ce: 0.1917, decode.acc_seg: 92.2809, loss: 0.1917 +2023-03-04 07:45:49,770 - mmseg - INFO - Iter [108700/160000] lr: 3.750e-05, eta: 3:06:07, time: 0.196, data_time: 0.008, memory: 52540, decode.loss_ce: 0.1929, decode.acc_seg: 92.1882, loss: 0.1929 +2023-03-04 07:45:59,693 - mmseg - INFO - Iter [108750/160000] lr: 3.750e-05, eta: 3:05:55, time: 0.198, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1900, decode.acc_seg: 92.1775, loss: 0.1900 +2023-03-04 07:46:09,609 - mmseg - INFO - Iter [108800/160000] lr: 3.750e-05, eta: 3:05:44, time: 0.198, data_time: 0.008, memory: 52540, decode.loss_ce: 0.1921, decode.acc_seg: 92.2083, loss: 0.1921 +2023-03-04 07:46:19,062 - mmseg - INFO - Iter [108850/160000] lr: 3.750e-05, eta: 3:05:33, time: 0.189, data_time: 0.008, memory: 52540, decode.loss_ce: 0.1854, decode.acc_seg: 92.2997, loss: 0.1854 +2023-03-04 07:46:28,758 - mmseg - INFO - Iter [108900/160000] lr: 3.750e-05, eta: 3:05:21, time: 0.194, data_time: 0.008, memory: 52540, decode.loss_ce: 0.1838, decode.acc_seg: 92.5306, loss: 0.1838 +2023-03-04 07:46:38,301 - mmseg - INFO - Iter [108950/160000] lr: 3.750e-05, eta: 3:05:10, time: 0.191, data_time: 0.008, memory: 52540, decode.loss_ce: 0.1860, decode.acc_seg: 92.3766, loss: 0.1860 +2023-03-04 07:46:47,927 - mmseg - INFO - Exp name: ablation_segformer_mit_b2_segformer_head_unet_fc_small_multi_step_ade_pretrained_freeze_embed_160k_ade20k151_finetune_ema_t50.py +2023-03-04 07:46:47,927 - mmseg - INFO - Iter [109000/160000] lr: 3.750e-05, eta: 3:04:58, time: 0.193, data_time: 0.008, memory: 52540, decode.loss_ce: 0.1865, decode.acc_seg: 92.2966, loss: 0.1865 +2023-03-04 07:46:57,373 - mmseg - INFO - Iter [109050/160000] lr: 3.750e-05, eta: 3:04:47, time: 0.189, data_time: 0.008, memory: 52540, decode.loss_ce: 0.1858, decode.acc_seg: 92.2966, loss: 0.1858 +2023-03-04 07:47:06,881 - mmseg - INFO - Iter [109100/160000] lr: 3.750e-05, eta: 3:04:35, time: 0.190, data_time: 0.008, memory: 52540, decode.loss_ce: 0.1917, decode.acc_seg: 92.0283, loss: 0.1917 +2023-03-04 07:47:16,387 - mmseg - INFO - Iter [109150/160000] lr: 3.750e-05, eta: 3:04:24, time: 0.190, data_time: 0.008, memory: 52540, decode.loss_ce: 0.1850, decode.acc_seg: 92.3603, loss: 0.1850 +2023-03-04 07:47:28,585 - mmseg - INFO - Iter [109200/160000] lr: 3.750e-05, eta: 3:04:13, time: 0.244, data_time: 0.058, memory: 52540, decode.loss_ce: 0.1858, decode.acc_seg: 92.4998, loss: 0.1858 +2023-03-04 07:47:38,244 - mmseg - INFO - Iter [109250/160000] lr: 3.750e-05, eta: 3:04:02, time: 0.193, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1818, decode.acc_seg: 92.5670, loss: 0.1818 +2023-03-04 07:47:47,702 - mmseg - INFO - Iter [109300/160000] lr: 3.750e-05, eta: 3:03:50, time: 0.189, data_time: 0.008, memory: 52540, decode.loss_ce: 0.1857, decode.acc_seg: 92.4443, loss: 0.1857 +2023-03-04 07:47:57,372 - mmseg - INFO - Iter [109350/160000] lr: 3.750e-05, eta: 3:03:39, time: 0.193, data_time: 0.008, memory: 52540, decode.loss_ce: 0.1978, decode.acc_seg: 92.0251, loss: 0.1978 +2023-03-04 07:48:07,316 - mmseg - INFO - Iter [109400/160000] lr: 3.750e-05, eta: 3:03:27, time: 0.199, data_time: 0.008, memory: 52540, decode.loss_ce: 0.1894, decode.acc_seg: 92.1521, loss: 0.1894 +2023-03-04 07:48:17,104 - mmseg - INFO - Iter [109450/160000] lr: 3.750e-05, eta: 3:03:16, time: 0.196, data_time: 0.008, memory: 52540, decode.loss_ce: 0.1880, decode.acc_seg: 92.2959, loss: 0.1880 +2023-03-04 07:48:26,964 - mmseg - INFO - Iter [109500/160000] lr: 3.750e-05, eta: 3:03:05, time: 0.197, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1857, decode.acc_seg: 92.2728, loss: 0.1857 +2023-03-04 07:48:36,625 - mmseg - INFO - Iter [109550/160000] lr: 3.750e-05, eta: 3:02:53, time: 0.193, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1891, decode.acc_seg: 92.1668, loss: 0.1891 +2023-03-04 07:48:46,542 - mmseg - INFO - Iter [109600/160000] lr: 3.750e-05, eta: 3:02:42, time: 0.199, data_time: 0.008, memory: 52540, decode.loss_ce: 0.1894, decode.acc_seg: 92.1510, loss: 0.1894 +2023-03-04 07:48:56,109 - mmseg - INFO - Iter [109650/160000] lr: 3.750e-05, eta: 3:02:31, time: 0.191, data_time: 0.008, memory: 52540, decode.loss_ce: 0.1873, decode.acc_seg: 92.2838, loss: 0.1873 +2023-03-04 07:49:05,797 - mmseg - INFO - Iter [109700/160000] lr: 3.750e-05, eta: 3:02:19, time: 0.194, data_time: 0.008, memory: 52540, decode.loss_ce: 0.1850, decode.acc_seg: 92.3358, loss: 0.1850 +2023-03-04 07:49:15,288 - mmseg - INFO - Iter [109750/160000] lr: 3.750e-05, eta: 3:02:08, time: 0.190, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1871, decode.acc_seg: 92.4206, loss: 0.1871 +2023-03-04 07:49:27,347 - mmseg - INFO - Iter [109800/160000] lr: 3.750e-05, eta: 3:01:57, time: 0.241, data_time: 0.055, memory: 52540, decode.loss_ce: 0.1878, decode.acc_seg: 92.3068, loss: 0.1878 +2023-03-04 07:49:36,828 - mmseg - INFO - Iter [109850/160000] lr: 3.750e-05, eta: 3:01:46, time: 0.190, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1869, decode.acc_seg: 92.2028, loss: 0.1869 +2023-03-04 07:49:46,374 - mmseg - INFO - Iter [109900/160000] lr: 3.750e-05, eta: 3:01:34, time: 0.191, data_time: 0.008, memory: 52540, decode.loss_ce: 0.1815, decode.acc_seg: 92.4901, loss: 0.1815 +2023-03-04 07:49:55,830 - mmseg - INFO - Iter [109950/160000] lr: 3.750e-05, eta: 3:01:23, time: 0.189, data_time: 0.008, memory: 52540, decode.loss_ce: 0.1882, decode.acc_seg: 92.2615, loss: 0.1882 +2023-03-04 07:50:05,446 - mmseg - INFO - Exp name: ablation_segformer_mit_b2_segformer_head_unet_fc_small_multi_step_ade_pretrained_freeze_embed_160k_ade20k151_finetune_ema_t50.py +2023-03-04 07:50:05,447 - mmseg - INFO - Iter [110000/160000] lr: 3.750e-05, eta: 3:01:11, time: 0.192, data_time: 0.008, memory: 52540, decode.loss_ce: 0.1900, decode.acc_seg: 92.0632, loss: 0.1900 +2023-03-04 07:50:15,470 - mmseg - INFO - Iter [110050/160000] lr: 3.750e-05, eta: 3:01:00, time: 0.200, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1907, decode.acc_seg: 92.3106, loss: 0.1907 +2023-03-04 07:50:24,997 - mmseg - INFO - Iter [110100/160000] lr: 3.750e-05, eta: 3:00:49, time: 0.191, data_time: 0.008, memory: 52540, decode.loss_ce: 0.1938, decode.acc_seg: 92.0021, loss: 0.1938 +2023-03-04 07:50:34,690 - mmseg - INFO - Iter [110150/160000] lr: 3.750e-05, eta: 3:00:37, time: 0.194, data_time: 0.008, memory: 52540, decode.loss_ce: 0.1875, decode.acc_seg: 92.3095, loss: 0.1875 +2023-03-04 07:50:44,301 - mmseg - INFO - Iter [110200/160000] lr: 3.750e-05, eta: 3:00:26, time: 0.192, data_time: 0.008, memory: 52540, decode.loss_ce: 0.1894, decode.acc_seg: 92.1270, loss: 0.1894 +2023-03-04 07:50:53,822 - mmseg - INFO - Iter [110250/160000] lr: 3.750e-05, eta: 3:00:14, time: 0.190, data_time: 0.008, memory: 52540, decode.loss_ce: 0.1894, decode.acc_seg: 92.3477, loss: 0.1894 +2023-03-04 07:51:03,458 - mmseg - INFO - Iter [110300/160000] lr: 3.750e-05, eta: 3:00:03, time: 0.193, data_time: 0.008, memory: 52540, decode.loss_ce: 0.1895, decode.acc_seg: 92.1551, loss: 0.1895 +2023-03-04 07:51:13,243 - mmseg - INFO - Iter [110350/160000] lr: 3.750e-05, eta: 2:59:51, time: 0.195, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1921, decode.acc_seg: 92.1342, loss: 0.1921 +2023-03-04 07:51:23,078 - mmseg - INFO - Iter [110400/160000] lr: 3.750e-05, eta: 2:59:40, time: 0.197, data_time: 0.008, memory: 52540, decode.loss_ce: 0.1900, decode.acc_seg: 92.3200, loss: 0.1900 +2023-03-04 07:51:35,077 - mmseg - INFO - Iter [110450/160000] lr: 3.750e-05, eta: 2:59:30, time: 0.240, data_time: 0.057, memory: 52540, decode.loss_ce: 0.1858, decode.acc_seg: 92.3664, loss: 0.1858 +2023-03-04 07:51:44,824 - mmseg - INFO - Iter [110500/160000] lr: 3.750e-05, eta: 2:59:18, time: 0.195, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1858, decode.acc_seg: 92.3740, loss: 0.1858 +2023-03-04 07:51:54,412 - mmseg - INFO - Iter [110550/160000] lr: 3.750e-05, eta: 2:59:07, time: 0.192, data_time: 0.007, memory: 52540, decode.loss_ce: 0.2009, decode.acc_seg: 91.7429, loss: 0.2009 +2023-03-04 07:52:04,166 - mmseg - INFO - Iter [110600/160000] lr: 3.750e-05, eta: 2:58:56, time: 0.195, data_time: 0.008, memory: 52540, decode.loss_ce: 0.1864, decode.acc_seg: 92.4067, loss: 0.1864 +2023-03-04 07:52:13,770 - mmseg - INFO - Iter [110650/160000] lr: 3.750e-05, eta: 2:58:44, time: 0.192, data_time: 0.008, memory: 52540, decode.loss_ce: 0.1930, decode.acc_seg: 92.0936, loss: 0.1930 +2023-03-04 07:52:23,411 - mmseg - INFO - Iter [110700/160000] lr: 3.750e-05, eta: 2:58:33, time: 0.193, data_time: 0.008, memory: 52540, decode.loss_ce: 0.1825, decode.acc_seg: 92.3625, loss: 0.1825 +2023-03-04 07:52:32,870 - mmseg - INFO - Iter [110750/160000] lr: 3.750e-05, eta: 2:58:21, time: 0.189, data_time: 0.008, memory: 52540, decode.loss_ce: 0.1830, decode.acc_seg: 92.3197, loss: 0.1830 +2023-03-04 07:52:42,658 - mmseg - INFO - Iter [110800/160000] lr: 3.750e-05, eta: 2:58:10, time: 0.196, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1925, decode.acc_seg: 92.1038, loss: 0.1925 +2023-03-04 07:52:52,106 - mmseg - INFO - Iter [110850/160000] lr: 3.750e-05, eta: 2:57:58, time: 0.189, data_time: 0.008, memory: 52540, decode.loss_ce: 0.1842, decode.acc_seg: 92.3964, loss: 0.1842 +2023-03-04 07:53:01,717 - mmseg - INFO - Iter [110900/160000] lr: 3.750e-05, eta: 2:57:47, time: 0.192, data_time: 0.008, memory: 52540, decode.loss_ce: 0.1808, decode.acc_seg: 92.4772, loss: 0.1808 +2023-03-04 07:53:11,471 - mmseg - INFO - Iter [110950/160000] lr: 3.750e-05, eta: 2:57:36, time: 0.195, data_time: 0.008, memory: 52540, decode.loss_ce: 0.1850, decode.acc_seg: 92.3421, loss: 0.1850 +2023-03-04 07:53:21,066 - mmseg - INFO - Exp name: ablation_segformer_mit_b2_segformer_head_unet_fc_small_multi_step_ade_pretrained_freeze_embed_160k_ade20k151_finetune_ema_t50.py +2023-03-04 07:53:21,067 - mmseg - INFO - Iter [111000/160000] lr: 3.750e-05, eta: 2:57:24, time: 0.192, data_time: 0.008, memory: 52540, decode.loss_ce: 0.1831, decode.acc_seg: 92.3883, loss: 0.1831 +2023-03-04 07:53:30,575 - mmseg - INFO - Iter [111050/160000] lr: 3.750e-05, eta: 2:57:13, time: 0.190, data_time: 0.008, memory: 52540, decode.loss_ce: 0.1843, decode.acc_seg: 92.4183, loss: 0.1843 +2023-03-04 07:53:42,708 - mmseg - INFO - Iter [111100/160000] lr: 3.750e-05, eta: 2:57:03, time: 0.243, data_time: 0.057, memory: 52540, decode.loss_ce: 0.1776, decode.acc_seg: 92.6683, loss: 0.1776 +2023-03-04 07:53:52,304 - mmseg - INFO - Iter [111150/160000] lr: 3.750e-05, eta: 2:56:51, time: 0.192, data_time: 0.008, memory: 52540, decode.loss_ce: 0.1884, decode.acc_seg: 92.2874, loss: 0.1884 +2023-03-04 07:54:01,943 - mmseg - INFO - Iter [111200/160000] lr: 3.750e-05, eta: 2:56:40, time: 0.193, data_time: 0.008, memory: 52540, decode.loss_ce: 0.1848, decode.acc_seg: 92.2137, loss: 0.1848 +2023-03-04 07:54:11,410 - mmseg - INFO - Iter [111250/160000] lr: 3.750e-05, eta: 2:56:28, time: 0.189, data_time: 0.008, memory: 52540, decode.loss_ce: 0.1901, decode.acc_seg: 92.1306, loss: 0.1901 +2023-03-04 07:54:21,300 - mmseg - INFO - Iter [111300/160000] lr: 3.750e-05, eta: 2:56:17, time: 0.198, data_time: 0.008, memory: 52540, decode.loss_ce: 0.1897, decode.acc_seg: 92.2552, loss: 0.1897 +2023-03-04 07:54:30,803 - mmseg - INFO - Iter [111350/160000] lr: 3.750e-05, eta: 2:56:05, time: 0.190, data_time: 0.008, memory: 52540, decode.loss_ce: 0.1815, decode.acc_seg: 92.4340, loss: 0.1815 +2023-03-04 07:54:40,544 - mmseg - INFO - Iter [111400/160000] lr: 3.750e-05, eta: 2:55:54, time: 0.195, data_time: 0.008, memory: 52540, decode.loss_ce: 0.1875, decode.acc_seg: 92.3672, loss: 0.1875 +2023-03-04 07:54:50,227 - mmseg - INFO - Iter [111450/160000] lr: 3.750e-05, eta: 2:55:43, time: 0.194, data_time: 0.008, memory: 52540, decode.loss_ce: 0.1866, decode.acc_seg: 92.3276, loss: 0.1866 +2023-03-04 07:54:59,952 - mmseg - INFO - Iter [111500/160000] lr: 3.750e-05, eta: 2:55:31, time: 0.194, data_time: 0.008, memory: 52540, decode.loss_ce: 0.1945, decode.acc_seg: 92.0962, loss: 0.1945 +2023-03-04 07:55:09,453 - mmseg - INFO - Iter [111550/160000] lr: 3.750e-05, eta: 2:55:20, time: 0.190, data_time: 0.008, memory: 52540, decode.loss_ce: 0.1828, decode.acc_seg: 92.3655, loss: 0.1828 +2023-03-04 07:55:19,046 - mmseg - INFO - Iter [111600/160000] lr: 3.750e-05, eta: 2:55:09, time: 0.192, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1855, decode.acc_seg: 92.3460, loss: 0.1855 +2023-03-04 07:55:28,824 - mmseg - INFO - Iter [111650/160000] lr: 3.750e-05, eta: 2:54:57, time: 0.196, data_time: 0.008, memory: 52540, decode.loss_ce: 0.1911, decode.acc_seg: 92.2233, loss: 0.1911 +2023-03-04 07:55:40,893 - mmseg - INFO - Iter [111700/160000] lr: 3.750e-05, eta: 2:54:47, time: 0.241, data_time: 0.055, memory: 52540, decode.loss_ce: 0.1941, decode.acc_seg: 92.1036, loss: 0.1941 +2023-03-04 07:55:50,727 - mmseg - INFO - Iter [111750/160000] lr: 3.750e-05, eta: 2:54:36, time: 0.197, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1847, decode.acc_seg: 92.4424, loss: 0.1847 +2023-03-04 07:56:00,173 - mmseg - INFO - Iter [111800/160000] lr: 3.750e-05, eta: 2:54:24, time: 0.189, data_time: 0.008, memory: 52540, decode.loss_ce: 0.1863, decode.acc_seg: 92.2988, loss: 0.1863 +2023-03-04 07:56:10,520 - mmseg - INFO - Iter [111850/160000] lr: 3.750e-05, eta: 2:54:13, time: 0.207, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1916, decode.acc_seg: 92.1618, loss: 0.1916 +2023-03-04 07:56:20,049 - mmseg - INFO - Iter [111900/160000] lr: 3.750e-05, eta: 2:54:02, time: 0.191, data_time: 0.008, memory: 52540, decode.loss_ce: 0.1869, decode.acc_seg: 92.4784, loss: 0.1869 +2023-03-04 07:56:29,689 - mmseg - INFO - Iter [111950/160000] lr: 3.750e-05, eta: 2:53:50, time: 0.193, data_time: 0.008, memory: 52540, decode.loss_ce: 0.1824, decode.acc_seg: 92.6208, loss: 0.1824 +2023-03-04 07:56:39,390 - mmseg - INFO - Swap parameters (after train) after iter [112000] +2023-03-04 07:56:39,422 - mmseg - INFO - Saving checkpoint at 112000 iterations +2023-03-04 07:56:40,395 - mmseg - INFO - Exp name: ablation_segformer_mit_b2_segformer_head_unet_fc_small_multi_step_ade_pretrained_freeze_embed_160k_ade20k151_finetune_ema_t50.py +2023-03-04 07:56:40,395 - mmseg - INFO - Iter [112000/160000] lr: 3.750e-05, eta: 2:53:39, time: 0.214, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1916, decode.acc_seg: 92.0575, loss: 0.1916 +2023-03-04 08:02:36,259 - mmseg - INFO - per class results: +2023-03-04 08:02:36,268 - mmseg - INFO - ++---------------------+-------------------------------------------------------------------+ +| Class | IoU 0,5,10,15,20,25,30,35,40,45,49 | ++---------------------+-------------------------------------------------------------------+ +| background | nan,nan,nan,nan,nan,nan,nan,nan,nan,nan,nan | +| wall | 77.48,77.52,77.54,77.55,77.56,77.56,77.57,77.57,77.58,77.58,77.59 | +| building | 81.68,81.7,81.71,81.71,81.73,81.74,81.76,81.77,81.78,81.78,81.78 | +| sky | 94.43,94.43,94.43,94.44,94.45,94.45,94.45,94.46,94.47,94.47,94.48 | +| floor | 81.74,81.76,81.76,81.77,81.76,81.79,81.8,81.8,81.83,81.83,81.84 | +| tree | 74.42,74.42,74.43,74.46,74.49,74.48,74.53,74.49,74.53,74.49,74.48 | +| ceiling | 85.24,85.27,85.29,85.32,85.34,85.37,85.36,85.37,85.38,85.4,85.4 | +| road | 82.19,82.19,82.16,82.18,82.21,82.24,82.23,82.29,82.25,82.31,82.32 | +| bed | 87.85,87.89,87.92,87.95,87.95,87.96,87.95,87.95,87.94,88.02,88.03 | +| windowpane | 60.99,61.0,61.01,61.04,61.06,61.08,61.08,61.15,61.13,61.15,61.18 | +| grass | 66.99,67.15,67.2,67.28,67.36,67.36,67.42,67.43,67.49,67.46,67.47 | +| cabinet | 61.33,61.46,61.62,61.63,61.93,61.86,61.97,61.96,62.1,62.21,62.29 | +| sidewalk | 64.3,64.34,64.32,64.42,64.5,64.51,64.54,64.64,64.57,64.66,64.71 | +| person | 79.76,79.77,79.79,79.82,79.82,79.84,79.85,79.87,79.86,79.84,79.85 | +| earth | 35.74,35.69,35.67,35.66,35.71,35.66,35.64,35.64,35.63,35.62,35.61 | +| door | 46.29,46.36,46.44,46.42,46.43,46.49,46.4,46.41,46.42,46.44,46.47 | +| table | 61.73,61.84,61.89,61.98,62.1,62.11,62.14,62.1,62.19,62.16,62.21 | +| mountain | 57.71,57.81,57.86,57.96,57.99,58.12,58.15,58.26,58.21,58.33,58.35 | +| plant | 49.82,49.8,49.77,49.76,49.82,49.72,49.77,49.71,49.77,49.7,49.7 | +| curtain | 74.65,74.8,74.79,74.83,74.87,74.95,74.95,74.98,75.0,75.04,75.06 | +| chair | 56.92,56.99,57.04,57.09,57.14,57.18,57.17,57.22,57.22,57.24,57.23 | +| car | 82.12,82.15,82.19,82.2,82.24,82.27,82.33,82.34,82.32,82.35,82.34 | +| water | 57.25,57.32,57.41,57.49,57.55,57.59,57.64,57.68,57.67,57.75,57.78 | +| painting | 70.72,70.7,70.71,70.6,70.56,70.6,70.7,70.71,70.71,70.75,70.78 | +| sofa | 64.76,64.91,65.03,65.12,65.24,65.31,65.34,65.43,65.14,65.08,65.07 | +| shelf | 44.49,44.54,44.55,44.61,44.6,44.59,44.59,44.65,44.59,44.68,44.65 | +| house | 42.16,42.39,42.39,42.41,42.55,42.6,42.69,42.73,42.79,42.7,42.72 | +| sea | 60.39,60.48,60.56,60.61,60.69,60.79,60.86,60.92,60.97,61.04,61.1 | +| mirror | 66.06,66.29,66.21,66.35,66.42,66.43,66.58,66.59,66.68,66.69,66.77 | +| rug | 64.5,64.62,64.68,64.71,64.79,64.87,64.73,64.98,65.0,65.13,65.15 | +| field | 30.28,30.4,30.41,30.46,30.5,30.49,30.6,30.63,30.71,30.67,30.67 | +| armchair | 37.95,38.12,38.2,38.26,38.45,38.5,38.6,38.78,38.64,38.63,38.65 | +| seat | 66.39,66.38,66.39,66.46,66.35,66.55,66.42,66.53,66.46,66.51,66.48 | +| fence | 40.6,40.69,40.58,40.6,40.37,40.34,40.24,40.23,40.1,40.12,40.16 | +| desk | 48.19,48.17,48.2,48.07,48.06,48.12,48.12,48.17,48.09,48.13,48.13 | +| rock | 37.27,37.37,37.38,37.35,37.33,37.43,37.38,37.39,37.46,37.38,37.36 | +| wardrobe | 58.45,58.58,58.64,58.5,58.62,58.63,58.64,58.63,58.64,58.67,58.64 | +| lamp | 62.74,62.74,62.75,62.86,62.9,62.92,62.87,62.87,62.99,62.97,62.96 | +| bathtub | 76.15,75.93,76.12,75.81,75.61,75.61,75.49,75.47,75.46,75.5,75.55 | +| railing | 33.78,33.79,33.75,33.81,33.83,33.79,33.87,33.78,33.93,33.9,33.95 | +| cushion | 57.09,56.88,57.0,56.89,56.89,56.97,56.82,56.67,56.64,56.66,56.59 | +| base | 21.84,21.87,21.9,22.02,21.99,22.07,22.0,22.17,22.02,22.2,22.26 | +| box | 23.33,23.4,23.54,23.57,23.62,23.7,23.7,23.69,23.78,23.77,23.77 | +| column | 45.78,45.85,45.77,45.62,45.59,45.53,45.63,45.63,45.5,45.51,45.53 | +| signboard | 37.92,37.93,37.93,37.97,37.92,38.09,37.96,37.9,37.94,37.95,37.96 | +| chest of drawers | 36.71,36.94,37.12,37.07,37.25,37.16,37.18,37.17,37.34,37.26,37.31 | +| counter | 33.41,33.41,33.47,33.65,33.61,33.65,33.64,33.58,33.57,33.51,33.5 | +| sand | 41.26,41.22,41.33,41.47,41.58,41.74,41.93,41.96,42.07,42.07,42.09 | +| sink | 67.97,67.9,67.88,67.88,67.77,67.79,67.78,67.81,67.78,67.83,67.83 | +| skyscraper | 48.72,48.85,48.95,48.75,48.71,48.83,48.75,48.89,48.82,48.96,48.99 | +| fireplace | 76.56,76.41,76.47,76.54,76.65,76.63,76.7,76.71,76.89,76.73,76.8 | +| refrigerator | 76.31,76.59,76.66,76.93,76.98,77.2,77.2,77.11,77.21,77.07,77.07 | +| grandstand | 52.89,53.29,53.29,53.4,53.6,53.81,53.89,53.68,53.89,53.83,53.86 | +| path | 22.58,22.7,22.81,22.78,22.99,23.01,23.01,23.02,23.04,23.02,23.04 | +| stairs | 31.74,31.78,31.71,31.66,31.65,31.62,31.68,31.69,31.67,31.6,31.6 | +| runway | 67.02,67.07,67.03,67.08,67.06,67.05,67.04,67.07,67.05,67.1,67.11 | +| case | 47.14,47.39,47.46,47.42,47.56,47.6,47.61,47.73,47.7,47.71,47.67 | +| pool table | 91.79,91.87,91.91,91.95,92.01,92.1,92.09,92.16,92.12,92.2,92.23 | +| pillow | 60.82,60.78,60.82,60.79,60.73,60.78,60.76,60.5,60.69,60.41,60.34 | +| screen door | 69.94,70.23,70.36,70.35,70.19,70.2,70.07,69.91,69.9,69.74,69.71 | +| stairway | 23.8,23.78,23.91,23.84,23.71,23.71,23.68,23.54,23.62,23.52,23.44 | +| river | 11.75,11.74,11.73,11.71,11.67,11.66,11.65,11.66,11.63,11.62,11.62 | +| bridge | 30.2,30.16,30.29,30.38,30.54,30.48,30.55,30.73,30.92,31.12,31.26 | +| bookcase | 46.21,46.1,46.07,46.17,46.16,46.09,46.15,46.08,46.14,46.06,46.04 | +| blind | 40.62,40.55,40.4,40.33,40.28,40.09,40.13,40.24,39.92,40.1,40.11 | +| coffee table | 53.9,53.72,53.65,53.64,53.66,53.5,53.37,53.35,53.22,53.3,53.5 | +| toilet | 83.85,83.8,83.87,83.87,83.83,83.83,83.88,83.94,83.97,83.98,84.0 | +| flower | 38.75,38.73,38.62,38.76,38.61,38.71,38.65,38.72,38.74,38.65,38.6 | +| book | 45.56,45.62,45.56,45.61,45.56,45.58,45.64,45.64,45.5,45.45,45.36 | +| hill | 15.47,15.31,15.39,15.27,15.41,15.41,15.52,15.52,15.66,15.62,15.66 | +| bench | 43.36,43.27,43.26,43.36,43.04,43.19,42.88,42.96,42.58,42.62,42.5 | +| countertop | 56.21,56.1,56.48,56.32,56.4,56.6,56.51,56.49,56.32,56.43,56.47 | +| stove | 72.11,72.05,72.07,72.11,71.99,71.83,71.72,71.71,71.64,71.64,71.61 | +| palm | 48.73,48.72,48.8,48.74,48.81,48.82,48.75,48.69,48.71,48.69,48.67 | +| kitchen island | 47.61,47.76,48.01,48.13,48.47,48.38,48.62,48.15,48.7,48.51,48.51 | +| computer | 60.83,60.89,60.89,60.89,60.87,60.84,60.77,60.76,60.69,60.75,60.7 | +| swivel chair | 44.38,44.53,44.67,44.75,44.83,44.84,44.85,44.8,44.86,44.74,44.74 | +| boat | 72.37,72.45,72.74,72.77,73.06,73.03,73.13,73.13,73.23,73.33,73.32 | +| bar | 24.13,24.18,24.19,24.25,24.2,24.32,24.18,24.39,24.24,24.4,24.43 | +| arcade machine | 71.66,71.99,72.55,73.08,73.38,73.54,74.0,74.36,74.15,74.52,74.69 | +| hovel | 29.2,29.21,28.95,28.83,28.68,28.66,28.57,28.48,28.4,28.41,28.34 | +| bus | 79.3,79.26,79.32,79.27,79.32,79.34,79.25,79.26,79.24,79.19,79.18 | +| towel | 62.86,62.89,62.96,62.96,62.97,63.06,63.02,63.01,62.98,63.16,63.18 | +| light | 55.75,55.84,56.0,56.09,56.18,56.2,56.26,56.35,56.46,56.44,56.4 | +| truck | 19.23,19.2,19.2,19.18,19.16,18.99,19.02,19.16,19.11,19.01,19.0 | +| tower | 8.45,8.55,8.43,8.49,8.58,8.55,8.56,8.66,8.65,8.68,8.7 | +| chandelier | 64.24,64.19,64.21,64.18,64.16,64.21,64.24,64.35,64.42,64.45,64.46 | +| awning | 24.53,24.87,25.04,25.1,25.16,25.35,25.49,25.48,25.46,25.55,25.57 | +| streetlight | 27.81,27.76,27.84,27.84,27.83,27.76,27.88,27.97,27.99,28.01,28.01 | +| booth | 45.38,45.9,45.99,46.51,46.51,46.61,46.59,46.68,46.6,46.6,46.48 | +| television receiver | 64.01,63.96,63.91,63.96,64.19,64.01,64.16,64.17,64.31,64.15,64.17 | +| airplane | 60.79,60.77,60.59,60.63,60.61,60.66,60.65,60.55,60.52,60.59,60.55 | +| dirt track | 22.58,22.67,22.76,23.0,23.09,23.23,23.45,23.23,23.69,23.2,23.19 | +| apparel | 33.64,33.95,34.24,34.13,34.3,34.54,34.45,34.95,34.55,35.03,35.05 | +| pole | 19.47,19.42,19.28,19.33,19.16,19.04,19.03,18.7,18.79,18.71,18.65 | +| land | 3.78,3.74,3.77,3.78,3.73,3.71,3.69,3.63,3.75,3.6,3.59 | +| bannister | 12.75,12.9,12.85,12.82,12.8,12.89,12.84,12.87,12.8,12.79,12.77 | +| escalator | 24.4,24.39,24.4,24.42,24.54,24.63,24.75,24.69,24.75,24.87,24.91 | +| ottoman | 43.32,43.19,43.42,43.34,43.15,43.02,42.48,43.15,42.39,43.22,43.18 | +| bottle | 35.28,35.41,35.3,35.34,35.06,35.08,35.18,34.84,35.07,35.03,35.07 | +| buffet | 39.08,39.71,40.16,40.45,40.69,40.89,41.06,41.03,41.71,42.37,42.82 | +| poster | 22.79,22.91,22.94,22.87,23.09,23.13,23.24,23.17,23.5,22.97,22.95 | +| stage | 13.35,13.3,13.27,13.3,13.26,13.19,13.33,13.31,13.33,13.47,13.52 | +| van | 38.13,38.05,38.14,38.14,38.16,38.17,38.23,38.44,38.26,38.57,38.6 | +| ship | 82.43,82.41,82.76,82.81,82.9,83.14,83.01,83.22,83.24,83.26,83.35 | +| fountain | 18.83,19.04,19.06,18.98,19.06,19.08,19.19,19.23,19.28,19.32,19.31 | +| conveyer belt | 86.12,86.03,86.22,86.36,85.9,86.17,85.98,86.11,85.72,86.02,86.03 | +| canopy | 23.62,24.33,24.62,25.17,25.54,25.8,26.05,26.29,26.32,26.57,26.73 | +| washer | 73.86,73.81,73.91,74.05,74.0,74.15,74.12,74.37,74.31,74.37,74.42 | +| plaything | 21.55,21.52,21.5,21.62,21.58,21.61,21.66,21.6,21.68,21.64,21.72 | +| swimming pool | 73.31,73.22,73.05,73.2,73.19,73.18,73.43,73.54,73.19,73.52,73.63 | +| stool | 43.22,43.34,43.4,43.53,43.58,43.46,43.43,43.54,43.42,43.47,43.56 | +| barrel | 41.94,43.01,42.21,41.66,41.51,41.24,40.58,40.69,40.25,40.86,40.07 | +| basket | 25.04,25.1,25.13,25.02,25.08,25.14,25.09,25.12,25.13,25.13,25.12 | +| waterfall | 48.28,48.4,48.22,48.17,48.22,48.14,48.13,48.16,48.02,48.14,48.12 | +| tent | 94.61,94.64,94.72,94.77,94.88,94.95,94.95,94.95,95.05,95.06,95.06 | +| bag | 16.65,16.85,16.91,16.91,16.93,17.09,17.18,16.95,17.29,17.15,17.15 | +| minibike | 61.69,61.8,61.92,61.98,62.12,62.01,62.2,62.3,62.38,62.34,62.35 | +| cradle | 84.68,84.81,85.07,85.11,85.27,85.45,85.61,85.65,85.83,85.97,86.02 | +| oven | 48.09,48.14,48.11,48.43,48.63,48.64,48.97,48.91,49.09,49.17,49.25 | +| ball | 45.93,45.9,45.96,46.11,45.99,46.04,45.67,45.77,45.79,45.78,45.59 | +| food | 55.01,55.32,55.46,55.45,55.82,55.53,55.68,55.48,55.76,55.51,55.41 | +| step | 6.47,6.38,6.49,6.43,6.15,6.11,6.26,6.02,5.97,5.75,5.7 | +| tank | 49.77,49.86,49.85,49.79,49.85,49.78,49.89,49.86,49.92,49.88,49.96 | +| trade name | 29.83,29.43,29.22,29.21,29.11,29.11,28.9,28.97,28.87,28.87,28.9 | +| microwave | 73.73,73.93,73.91,74.33,74.63,74.69,74.82,74.86,74.91,75.16,75.2 | +| pot | 30.27,30.38,30.6,30.53,30.56,30.54,30.71,30.82,30.93,31.07,31.24 | +| animal | 55.56,55.55,55.53,55.61,55.67,55.58,55.58,55.56,55.51,55.39,55.14 | +| bicycle | 54.8,54.99,55.01,55.11,55.41,55.27,55.44,55.32,55.49,55.56,55.6 | +| lake | 57.78,57.86,57.95,57.97,58.09,58.15,58.22,58.31,58.34,58.43,58.47 | +| dishwasher | 66.75,66.54,66.11,66.16,66.13,65.92,65.56,65.96,65.36,66.17,66.1 | +| screen | 67.33,67.25,66.78,66.45,66.25,66.31,65.7,65.82,65.22,65.64,65.5 | +| blanket | 17.43,17.66,17.71,17.57,17.57,17.81,17.9,17.83,17.94,18.08,18.08 | +| sculpture | 58.2,58.06,57.92,58.01,57.72,57.61,57.64,57.57,57.28,57.2,57.15 | +| hood | 58.12,57.98,58.48,58.1,58.29,57.69,57.57,57.12,56.86,56.69,56.6 | +| sconce | 43.9,43.95,44.16,44.07,44.38,44.38,44.28,44.52,44.35,44.56,44.57 | +| vase | 37.73,37.79,37.89,38.08,37.96,38.0,38.2,37.98,37.98,37.98,37.98 | +| traffic light | 33.33,33.37,33.45,33.48,33.55,33.64,33.9,33.78,33.81,33.87,33.92 | +| tray | 8.11,8.02,8.18,8.08,8.02,8.14,8.09,8.28,8.0,8.23,8.2 | +| ashcan | 41.31,41.36,41.42,41.64,41.63,41.49,41.54,41.52,41.69,41.59,41.54 | +| fan | 57.31,57.51,57.33,57.38,57.38,57.3,57.2,57.05,56.99,57.0,56.95 | +| pier | 52.8,53.53,55.37,55.82,56.6,56.89,57.28,57.09,57.4,57.62,57.7 | +| crt screen | 11.27,11.26,11.23,11.27,11.21,11.19,11.08,11.14,10.91,11.06,11.04 | +| plate | 53.56,53.75,53.7,53.77,53.92,53.82,53.87,53.93,53.92,53.85,53.84 | +| monitor | 18.07,18.09,17.93,17.82,17.7,17.56,17.43,17.32,17.2,16.9,16.74 | +| bulletin board | 37.05,36.9,36.99,36.61,36.66,36.66,36.69,36.24,36.68,36.08,36.09 | +| shower | 1.42,1.44,1.37,1.36,1.41,1.28,1.35,1.22,1.36,1.09,0.99 | +| radiator | 60.7,61.53,62.39,62.94,63.41,63.97,64.11,64.67,64.67,64.87,64.84 | +| glass | 13.9,13.89,13.93,13.82,13.86,13.86,13.84,13.65,13.81,13.7,13.62 | +| clock | 35.07,35.33,35.59,35.5,35.51,35.47,35.44,35.71,35.55,35.63,35.61 | +| flag | 32.45,32.51,32.44,32.27,32.41,32.43,32.41,32.46,32.44,32.48,32.47 | ++---------------------+-------------------------------------------------------------------+ +2023-03-04 08:02:36,268 - mmseg - INFO - Summary: +2023-03-04 08:02:36,269 - mmseg - INFO - ++------------------------------------------------------------------+ +| mIoU 0,5,10,15,20,25,30,35,40,45,49 | ++------------------------------------------------------------------+ +| 48.85,48.92,48.97,49.0,49.04,49.06,49.06,49.08,49.08,49.11,49.11 | ++------------------------------------------------------------------+ +2023-03-04 08:02:36,304 - mmseg - INFO - The previous best checkpoint /mnt/petrelfs/laizeqiang/mmseg-baseline/work_dirs2/ablation_segformer_mit_b2_segformer_head_unet_fc_small_multi_step_ade_pretrained_freeze_embed_160k_ade20k151_finetune_ema_t50/best_mIoU_iter_96000.pth was removed +2023-03-04 08:02:37,221 - mmseg - INFO - Now best checkpoint is saved as best_mIoU_iter_112000.pth. +2023-03-04 08:02:37,221 - mmseg - INFO - Best mIoU is 0.4911 at 112000 iter. +2023-03-04 08:02:37,221 - mmseg - INFO - Exp name: ablation_segformer_mit_b2_segformer_head_unet_fc_small_multi_step_ade_pretrained_freeze_embed_160k_ade20k151_finetune_ema_t50.py +2023-03-04 08:02:37,221 - mmseg - INFO - Iter(val) [250] mIoU: [0.4885, 0.4892, 0.4897, 0.49, 0.4904, 0.4906, 0.4906, 0.4908, 0.4908, 0.4911, 0.4911], copy_paste: 48.85,48.92,48.97,49.0,49.04,49.06,49.06,49.08,49.08,49.11,49.11 +2023-03-04 08:02:37,228 - mmseg - INFO - Swap parameters (before train) before iter [112001] +2023-03-04 08:02:47,210 - mmseg - INFO - Iter [112050/160000] lr: 3.750e-05, eta: 2:56:01, time: 7.336, data_time: 7.145, memory: 52540, decode.loss_ce: 0.1939, decode.acc_seg: 92.2029, loss: 0.1939 +2023-03-04 08:02:57,074 - mmseg - INFO - Iter [112100/160000] lr: 3.750e-05, eta: 2:55:49, time: 0.197, data_time: 0.008, memory: 52540, decode.loss_ce: 0.1877, decode.acc_seg: 92.3550, loss: 0.1877 +2023-03-04 08:03:07,347 - mmseg - INFO - Iter [112150/160000] lr: 3.750e-05, eta: 2:55:38, time: 0.205, data_time: 0.009, memory: 52540, decode.loss_ce: 0.1833, decode.acc_seg: 92.3397, loss: 0.1833 +2023-03-04 08:03:17,039 - mmseg - INFO - Iter [112200/160000] lr: 3.750e-05, eta: 2:55:26, time: 0.194, data_time: 0.008, memory: 52540, decode.loss_ce: 0.1849, decode.acc_seg: 92.3777, loss: 0.1849 +2023-03-04 08:03:26,604 - mmseg - INFO - Iter [112250/160000] lr: 3.750e-05, eta: 2:55:15, time: 0.191, data_time: 0.008, memory: 52540, decode.loss_ce: 0.1912, decode.acc_seg: 92.1533, loss: 0.1912 +2023-03-04 08:03:36,438 - mmseg - INFO - Iter [112300/160000] lr: 3.750e-05, eta: 2:55:03, time: 0.197, data_time: 0.008, memory: 52540, decode.loss_ce: 0.1876, decode.acc_seg: 92.3401, loss: 0.1876 +2023-03-04 08:03:48,621 - mmseg - INFO - Iter [112350/160000] lr: 3.750e-05, eta: 2:54:53, time: 0.244, data_time: 0.053, memory: 52540, decode.loss_ce: 0.1885, decode.acc_seg: 92.2375, loss: 0.1885 +2023-03-04 08:03:58,158 - mmseg - INFO - Iter [112400/160000] lr: 3.750e-05, eta: 2:54:41, time: 0.191, data_time: 0.008, memory: 52540, decode.loss_ce: 0.1928, decode.acc_seg: 92.1715, loss: 0.1928 +2023-03-04 08:04:07,888 - mmseg - INFO - Iter [112450/160000] lr: 3.750e-05, eta: 2:54:30, time: 0.195, data_time: 0.008, memory: 52540, decode.loss_ce: 0.1866, decode.acc_seg: 92.2353, loss: 0.1866 +2023-03-04 08:04:17,487 - mmseg - INFO - Iter [112500/160000] lr: 3.750e-05, eta: 2:54:18, time: 0.192, data_time: 0.008, memory: 52540, decode.loss_ce: 0.1889, decode.acc_seg: 92.2419, loss: 0.1889 +2023-03-04 08:04:27,380 - mmseg - INFO - Iter [112550/160000] lr: 3.750e-05, eta: 2:54:06, time: 0.198, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1813, decode.acc_seg: 92.5645, loss: 0.1813 +2023-03-04 08:04:36,923 - mmseg - INFO - Iter [112600/160000] lr: 3.750e-05, eta: 2:53:55, time: 0.191, data_time: 0.008, memory: 52540, decode.loss_ce: 0.1913, decode.acc_seg: 92.1759, loss: 0.1913 +2023-03-04 08:04:46,448 - mmseg - INFO - Iter [112650/160000] lr: 3.750e-05, eta: 2:53:43, time: 0.191, data_time: 0.008, memory: 52540, decode.loss_ce: 0.1884, decode.acc_seg: 92.2927, loss: 0.1884 +2023-03-04 08:04:55,946 - mmseg - INFO - Iter [112700/160000] lr: 3.750e-05, eta: 2:53:32, time: 0.190, data_time: 0.008, memory: 52540, decode.loss_ce: 0.1812, decode.acc_seg: 92.4302, loss: 0.1812 +2023-03-04 08:05:05,488 - mmseg - INFO - Iter [112750/160000] lr: 3.750e-05, eta: 2:53:20, time: 0.191, data_time: 0.008, memory: 52540, decode.loss_ce: 0.1871, decode.acc_seg: 92.4540, loss: 0.1871 +2023-03-04 08:05:15,220 - mmseg - INFO - Iter [112800/160000] lr: 3.750e-05, eta: 2:53:08, time: 0.195, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1898, decode.acc_seg: 92.0166, loss: 0.1898 +2023-03-04 08:05:24,814 - mmseg - INFO - Iter [112850/160000] lr: 3.750e-05, eta: 2:52:57, time: 0.192, data_time: 0.008, memory: 52540, decode.loss_ce: 0.1927, decode.acc_seg: 92.2454, loss: 0.1927 +2023-03-04 08:05:34,399 - mmseg - INFO - Iter [112900/160000] lr: 3.750e-05, eta: 2:52:45, time: 0.192, data_time: 0.008, memory: 52540, decode.loss_ce: 0.1821, decode.acc_seg: 92.5560, loss: 0.1821 +2023-03-04 08:05:46,348 - mmseg - INFO - Iter [112950/160000] lr: 3.750e-05, eta: 2:52:35, time: 0.239, data_time: 0.055, memory: 52540, decode.loss_ce: 0.1831, decode.acc_seg: 92.5240, loss: 0.1831 +2023-03-04 08:05:55,992 - mmseg - INFO - Exp name: ablation_segformer_mit_b2_segformer_head_unet_fc_small_multi_step_ade_pretrained_freeze_embed_160k_ade20k151_finetune_ema_t50.py +2023-03-04 08:05:55,992 - mmseg - INFO - Iter [113000/160000] lr: 3.750e-05, eta: 2:52:23, time: 0.193, data_time: 0.008, memory: 52540, decode.loss_ce: 0.1946, decode.acc_seg: 92.1487, loss: 0.1946 +2023-03-04 08:06:05,700 - mmseg - INFO - Iter [113050/160000] lr: 3.750e-05, eta: 2:52:12, time: 0.194, data_time: 0.008, memory: 52540, decode.loss_ce: 0.1833, decode.acc_seg: 92.4618, loss: 0.1833 +2023-03-04 08:06:15,542 - mmseg - INFO - Iter [113100/160000] lr: 3.750e-05, eta: 2:52:00, time: 0.197, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1914, decode.acc_seg: 92.1135, loss: 0.1914 +2023-03-04 08:06:25,194 - mmseg - INFO - Iter [113150/160000] lr: 3.750e-05, eta: 2:51:48, time: 0.193, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1827, decode.acc_seg: 92.4438, loss: 0.1827 +2023-03-04 08:06:34,642 - mmseg - INFO - Iter [113200/160000] lr: 3.750e-05, eta: 2:51:37, time: 0.189, data_time: 0.008, memory: 52540, decode.loss_ce: 0.1862, decode.acc_seg: 92.1986, loss: 0.1862 +2023-03-04 08:06:44,877 - mmseg - INFO - Iter [113250/160000] lr: 3.750e-05, eta: 2:51:26, time: 0.205, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1858, decode.acc_seg: 92.3700, loss: 0.1858 +2023-03-04 08:06:54,738 - mmseg - INFO - Iter [113300/160000] lr: 3.750e-05, eta: 2:51:14, time: 0.197, data_time: 0.008, memory: 52540, decode.loss_ce: 0.1858, decode.acc_seg: 92.4112, loss: 0.1858 +2023-03-04 08:07:04,209 - mmseg - INFO - Iter [113350/160000] lr: 3.750e-05, eta: 2:51:02, time: 0.189, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1966, decode.acc_seg: 91.9966, loss: 0.1966 +2023-03-04 08:07:13,792 - mmseg - INFO - Iter [113400/160000] lr: 3.750e-05, eta: 2:50:51, time: 0.192, data_time: 0.008, memory: 52540, decode.loss_ce: 0.1927, decode.acc_seg: 92.2603, loss: 0.1927 +2023-03-04 08:07:23,280 - mmseg - INFO - Iter [113450/160000] lr: 3.750e-05, eta: 2:50:39, time: 0.190, data_time: 0.008, memory: 52540, decode.loss_ce: 0.1852, decode.acc_seg: 92.5506, loss: 0.1852 +2023-03-04 08:07:32,828 - mmseg - INFO - Iter [113500/160000] lr: 3.750e-05, eta: 2:50:28, time: 0.191, data_time: 0.008, memory: 52540, decode.loss_ce: 0.1872, decode.acc_seg: 92.2835, loss: 0.1872 +2023-03-04 08:07:42,891 - mmseg - INFO - Iter [113550/160000] lr: 3.750e-05, eta: 2:50:16, time: 0.201, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1885, decode.acc_seg: 92.3161, loss: 0.1885 +2023-03-04 08:07:54,862 - mmseg - INFO - Iter [113600/160000] lr: 3.750e-05, eta: 2:50:06, time: 0.239, data_time: 0.056, memory: 52540, decode.loss_ce: 0.1842, decode.acc_seg: 92.5810, loss: 0.1842 +2023-03-04 08:08:04,523 - mmseg - INFO - Iter [113650/160000] lr: 3.750e-05, eta: 2:49:54, time: 0.193, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1925, decode.acc_seg: 92.0787, loss: 0.1925 +2023-03-04 08:08:14,133 - mmseg - INFO - Iter [113700/160000] lr: 3.750e-05, eta: 2:49:43, time: 0.192, data_time: 0.008, memory: 52540, decode.loss_ce: 0.1868, decode.acc_seg: 92.1802, loss: 0.1868 +2023-03-04 08:08:23,960 - mmseg - INFO - Iter [113750/160000] lr: 3.750e-05, eta: 2:49:31, time: 0.196, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1945, decode.acc_seg: 92.1137, loss: 0.1945 +2023-03-04 08:08:33,668 - mmseg - INFO - Iter [113800/160000] lr: 3.750e-05, eta: 2:49:20, time: 0.194, data_time: 0.008, memory: 52540, decode.loss_ce: 0.1878, decode.acc_seg: 92.2842, loss: 0.1878 +2023-03-04 08:08:43,110 - mmseg - INFO - Iter [113850/160000] lr: 3.750e-05, eta: 2:49:08, time: 0.189, data_time: 0.008, memory: 52540, decode.loss_ce: 0.1845, decode.acc_seg: 92.5188, loss: 0.1845 +2023-03-04 08:08:52,524 - mmseg - INFO - Iter [113900/160000] lr: 3.750e-05, eta: 2:48:56, time: 0.188, data_time: 0.008, memory: 52540, decode.loss_ce: 0.1848, decode.acc_seg: 92.4505, loss: 0.1848 +2023-03-04 08:09:02,181 - mmseg - INFO - Iter [113950/160000] lr: 3.750e-05, eta: 2:48:45, time: 0.193, data_time: 0.008, memory: 52540, decode.loss_ce: 0.1796, decode.acc_seg: 92.5127, loss: 0.1796 +2023-03-04 08:09:11,891 - mmseg - INFO - Exp name: ablation_segformer_mit_b2_segformer_head_unet_fc_small_multi_step_ade_pretrained_freeze_embed_160k_ade20k151_finetune_ema_t50.py +2023-03-04 08:09:11,892 - mmseg - INFO - Iter [114000/160000] lr: 3.750e-05, eta: 2:48:33, time: 0.194, data_time: 0.008, memory: 52540, decode.loss_ce: 0.1961, decode.acc_seg: 91.8973, loss: 0.1961 +2023-03-04 08:09:21,615 - mmseg - INFO - Iter [114050/160000] lr: 3.750e-05, eta: 2:48:22, time: 0.194, data_time: 0.008, memory: 52540, decode.loss_ce: 0.1904, decode.acc_seg: 92.2976, loss: 0.1904 +2023-03-04 08:09:31,125 - mmseg - INFO - Iter [114100/160000] lr: 3.750e-05, eta: 2:48:10, time: 0.190, data_time: 0.008, memory: 52540, decode.loss_ce: 0.1895, decode.acc_seg: 92.3621, loss: 0.1895 +2023-03-04 08:09:40,714 - mmseg - INFO - Iter [114150/160000] lr: 3.750e-05, eta: 2:47:59, time: 0.192, data_time: 0.008, memory: 52540, decode.loss_ce: 0.1830, decode.acc_seg: 92.4569, loss: 0.1830 +2023-03-04 08:09:50,331 - mmseg - INFO - Iter [114200/160000] lr: 3.750e-05, eta: 2:47:47, time: 0.192, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1873, decode.acc_seg: 92.2927, loss: 0.1873 +2023-03-04 08:10:02,530 - mmseg - INFO - Iter [114250/160000] lr: 3.750e-05, eta: 2:47:37, time: 0.244, data_time: 0.056, memory: 52540, decode.loss_ce: 0.1801, decode.acc_seg: 92.5076, loss: 0.1801 +2023-03-04 08:10:11,931 - mmseg - INFO - Iter [114300/160000] lr: 3.750e-05, eta: 2:47:25, time: 0.188, data_time: 0.008, memory: 52540, decode.loss_ce: 0.1876, decode.acc_seg: 92.3243, loss: 0.1876 +2023-03-04 08:10:21,502 - mmseg - INFO - Iter [114350/160000] lr: 3.750e-05, eta: 2:47:13, time: 0.191, data_time: 0.008, memory: 52540, decode.loss_ce: 0.1850, decode.acc_seg: 92.2881, loss: 0.1850 +2023-03-04 08:10:31,079 - mmseg - INFO - Iter [114400/160000] lr: 3.750e-05, eta: 2:47:02, time: 0.192, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1835, decode.acc_seg: 92.4359, loss: 0.1835 +2023-03-04 08:10:40,654 - mmseg - INFO - Iter [114450/160000] lr: 3.750e-05, eta: 2:46:50, time: 0.191, data_time: 0.008, memory: 52540, decode.loss_ce: 0.1884, decode.acc_seg: 92.3118, loss: 0.1884 +2023-03-04 08:10:50,961 - mmseg - INFO - Iter [114500/160000] lr: 3.750e-05, eta: 2:46:39, time: 0.206, data_time: 0.008, memory: 52540, decode.loss_ce: 0.1826, decode.acc_seg: 92.4999, loss: 0.1826 +2023-03-04 08:11:00,676 - mmseg - INFO - Iter [114550/160000] lr: 3.750e-05, eta: 2:46:27, time: 0.195, data_time: 0.008, memory: 52540, decode.loss_ce: 0.1824, decode.acc_seg: 92.4654, loss: 0.1824 +2023-03-04 08:11:10,117 - mmseg - INFO - Iter [114600/160000] lr: 3.750e-05, eta: 2:46:16, time: 0.189, data_time: 0.008, memory: 52540, decode.loss_ce: 0.1872, decode.acc_seg: 92.3043, loss: 0.1872 +2023-03-04 08:11:19,687 - mmseg - INFO - Iter [114650/160000] lr: 3.750e-05, eta: 2:46:04, time: 0.191, data_time: 0.008, memory: 52540, decode.loss_ce: 0.1889, decode.acc_seg: 92.3169, loss: 0.1889 +2023-03-04 08:11:29,287 - mmseg - INFO - Iter [114700/160000] lr: 3.750e-05, eta: 2:45:53, time: 0.192, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1825, decode.acc_seg: 92.5028, loss: 0.1825 +2023-03-04 08:11:39,085 - mmseg - INFO - Iter [114750/160000] lr: 3.750e-05, eta: 2:45:41, time: 0.196, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1896, decode.acc_seg: 92.2597, loss: 0.1896 +2023-03-04 08:11:49,017 - mmseg - INFO - Iter [114800/160000] lr: 3.750e-05, eta: 2:45:30, time: 0.199, data_time: 0.008, memory: 52540, decode.loss_ce: 0.1926, decode.acc_seg: 92.1160, loss: 0.1926 +2023-03-04 08:12:01,006 - mmseg - INFO - Iter [114850/160000] lr: 3.750e-05, eta: 2:45:19, time: 0.240, data_time: 0.056, memory: 52540, decode.loss_ce: 0.1921, decode.acc_seg: 92.1274, loss: 0.1921 +2023-03-04 08:12:10,646 - mmseg - INFO - Iter [114900/160000] lr: 3.750e-05, eta: 2:45:08, time: 0.192, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1896, decode.acc_seg: 92.2104, loss: 0.1896 +2023-03-04 08:12:20,350 - mmseg - INFO - Iter [114950/160000] lr: 3.750e-05, eta: 2:44:56, time: 0.194, data_time: 0.008, memory: 52540, decode.loss_ce: 0.1863, decode.acc_seg: 92.3575, loss: 0.1863 +2023-03-04 08:12:29,960 - mmseg - INFO - Exp name: ablation_segformer_mit_b2_segformer_head_unet_fc_small_multi_step_ade_pretrained_freeze_embed_160k_ade20k151_finetune_ema_t50.py +2023-03-04 08:12:29,961 - mmseg - INFO - Iter [115000/160000] lr: 3.750e-05, eta: 2:44:45, time: 0.192, data_time: 0.008, memory: 52540, decode.loss_ce: 0.1944, decode.acc_seg: 92.0622, loss: 0.1944 +2023-03-04 08:12:39,474 - mmseg - INFO - Iter [115050/160000] lr: 3.750e-05, eta: 2:44:33, time: 0.190, data_time: 0.008, memory: 52540, decode.loss_ce: 0.1895, decode.acc_seg: 92.0961, loss: 0.1895 +2023-03-04 08:12:49,020 - mmseg - INFO - Iter [115100/160000] lr: 3.750e-05, eta: 2:44:22, time: 0.191, data_time: 0.008, memory: 52540, decode.loss_ce: 0.1801, decode.acc_seg: 92.5475, loss: 0.1801 +2023-03-04 08:12:58,654 - mmseg - INFO - Iter [115150/160000] lr: 3.750e-05, eta: 2:44:10, time: 0.193, data_time: 0.008, memory: 52540, decode.loss_ce: 0.1837, decode.acc_seg: 92.4772, loss: 0.1837 +2023-03-04 08:13:08,132 - mmseg - INFO - Iter [115200/160000] lr: 3.750e-05, eta: 2:43:59, time: 0.190, data_time: 0.008, memory: 52540, decode.loss_ce: 0.1893, decode.acc_seg: 92.2662, loss: 0.1893 +2023-03-04 08:13:17,571 - mmseg - INFO - Iter [115250/160000] lr: 3.750e-05, eta: 2:43:47, time: 0.189, data_time: 0.008, memory: 52540, decode.loss_ce: 0.1894, decode.acc_seg: 92.3100, loss: 0.1894 +2023-03-04 08:13:27,151 - mmseg - INFO - Iter [115300/160000] lr: 3.750e-05, eta: 2:43:36, time: 0.192, data_time: 0.008, memory: 52540, decode.loss_ce: 0.1947, decode.acc_seg: 92.2333, loss: 0.1947 +2023-03-04 08:13:36,834 - mmseg - INFO - Iter [115350/160000] lr: 3.750e-05, eta: 2:43:24, time: 0.194, data_time: 0.008, memory: 52540, decode.loss_ce: 0.1783, decode.acc_seg: 92.6800, loss: 0.1783 +2023-03-04 08:13:46,357 - mmseg - INFO - Iter [115400/160000] lr: 3.750e-05, eta: 2:43:13, time: 0.190, data_time: 0.008, memory: 52540, decode.loss_ce: 0.1948, decode.acc_seg: 92.0318, loss: 0.1948 +2023-03-04 08:13:55,984 - mmseg - INFO - Iter [115450/160000] lr: 3.750e-05, eta: 2:43:01, time: 0.193, data_time: 0.008, memory: 52540, decode.loss_ce: 0.1885, decode.acc_seg: 92.2231, loss: 0.1885 +2023-03-04 08:14:08,108 - mmseg - INFO - Iter [115500/160000] lr: 3.750e-05, eta: 2:42:50, time: 0.242, data_time: 0.055, memory: 52540, decode.loss_ce: 0.1853, decode.acc_seg: 92.2775, loss: 0.1853 +2023-03-04 08:14:17,758 - mmseg - INFO - Iter [115550/160000] lr: 3.750e-05, eta: 2:42:39, time: 0.193, data_time: 0.008, memory: 52540, decode.loss_ce: 0.1940, decode.acc_seg: 92.1154, loss: 0.1940 +2023-03-04 08:14:27,518 - mmseg - INFO - Iter [115600/160000] lr: 3.750e-05, eta: 2:42:28, time: 0.195, data_time: 0.008, memory: 52540, decode.loss_ce: 0.1907, decode.acc_seg: 92.2818, loss: 0.1907 +2023-03-04 08:14:37,233 - mmseg - INFO - Iter [115650/160000] lr: 3.750e-05, eta: 2:42:16, time: 0.195, data_time: 0.008, memory: 52540, decode.loss_ce: 0.1818, decode.acc_seg: 92.5493, loss: 0.1818 +2023-03-04 08:14:47,040 - mmseg - INFO - Iter [115700/160000] lr: 3.750e-05, eta: 2:42:05, time: 0.196, data_time: 0.008, memory: 52540, decode.loss_ce: 0.1829, decode.acc_seg: 92.3949, loss: 0.1829 +2023-03-04 08:14:56,824 - mmseg - INFO - Iter [115750/160000] lr: 3.750e-05, eta: 2:41:53, time: 0.195, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1879, decode.acc_seg: 92.2515, loss: 0.1879 +2023-03-04 08:15:06,453 - mmseg - INFO - Iter [115800/160000] lr: 3.750e-05, eta: 2:41:42, time: 0.193, data_time: 0.008, memory: 52540, decode.loss_ce: 0.1887, decode.acc_seg: 92.3385, loss: 0.1887 +2023-03-04 08:15:16,074 - mmseg - INFO - Iter [115850/160000] lr: 3.750e-05, eta: 2:41:30, time: 0.192, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1916, decode.acc_seg: 92.2231, loss: 0.1916 +2023-03-04 08:15:25,580 - mmseg - INFO - Iter [115900/160000] lr: 3.750e-05, eta: 2:41:19, time: 0.190, data_time: 0.008, memory: 52540, decode.loss_ce: 0.1796, decode.acc_seg: 92.4865, loss: 0.1796 +2023-03-04 08:15:35,396 - mmseg - INFO - Iter [115950/160000] lr: 3.750e-05, eta: 2:41:07, time: 0.196, data_time: 0.008, memory: 52540, decode.loss_ce: 0.1858, decode.acc_seg: 92.3556, loss: 0.1858 +2023-03-04 08:15:44,891 - mmseg - INFO - Exp name: ablation_segformer_mit_b2_segformer_head_unet_fc_small_multi_step_ade_pretrained_freeze_embed_160k_ade20k151_finetune_ema_t50.py +2023-03-04 08:15:44,891 - mmseg - INFO - Iter [116000/160000] lr: 3.750e-05, eta: 2:40:56, time: 0.190, data_time: 0.008, memory: 52540, decode.loss_ce: 0.1910, decode.acc_seg: 92.2806, loss: 0.1910 +2023-03-04 08:15:54,483 - mmseg - INFO - Iter [116050/160000] lr: 3.750e-05, eta: 2:40:44, time: 0.192, data_time: 0.008, memory: 52540, decode.loss_ce: 0.1880, decode.acc_seg: 92.2801, loss: 0.1880 +2023-03-04 08:16:03,977 - mmseg - INFO - Iter [116100/160000] lr: 3.750e-05, eta: 2:40:33, time: 0.190, data_time: 0.008, memory: 52540, decode.loss_ce: 0.1922, decode.acc_seg: 92.2172, loss: 0.1922 +2023-03-04 08:16:16,093 - mmseg - INFO - Iter [116150/160000] lr: 3.750e-05, eta: 2:40:22, time: 0.242, data_time: 0.054, memory: 52540, decode.loss_ce: 0.1824, decode.acc_seg: 92.6374, loss: 0.1824 +2023-03-04 08:16:25,958 - mmseg - INFO - Iter [116200/160000] lr: 3.750e-05, eta: 2:40:11, time: 0.197, data_time: 0.008, memory: 52540, decode.loss_ce: 0.1801, decode.acc_seg: 92.6244, loss: 0.1801 +2023-03-04 08:16:35,604 - mmseg - INFO - Iter [116250/160000] lr: 3.750e-05, eta: 2:39:59, time: 0.193, data_time: 0.008, memory: 52540, decode.loss_ce: 0.1916, decode.acc_seg: 92.0971, loss: 0.1916 +2023-03-04 08:16:45,147 - mmseg - INFO - Iter [116300/160000] lr: 3.750e-05, eta: 2:39:48, time: 0.191, data_time: 0.008, memory: 52540, decode.loss_ce: 0.1837, decode.acc_seg: 92.3044, loss: 0.1837 +2023-03-04 08:16:55,096 - mmseg - INFO - Iter [116350/160000] lr: 3.750e-05, eta: 2:39:36, time: 0.199, data_time: 0.008, memory: 52540, decode.loss_ce: 0.1883, decode.acc_seg: 92.2918, loss: 0.1883 +2023-03-04 08:17:04,924 - mmseg - INFO - Iter [116400/160000] lr: 3.750e-05, eta: 2:39:25, time: 0.196, data_time: 0.008, memory: 52540, decode.loss_ce: 0.1862, decode.acc_seg: 92.4095, loss: 0.1862 +2023-03-04 08:17:14,482 - mmseg - INFO - Iter [116450/160000] lr: 3.750e-05, eta: 2:39:14, time: 0.191, data_time: 0.008, memory: 52540, decode.loss_ce: 0.1838, decode.acc_seg: 92.4011, loss: 0.1838 +2023-03-04 08:17:24,732 - mmseg - INFO - Iter [116500/160000] lr: 3.750e-05, eta: 2:39:02, time: 0.205, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1911, decode.acc_seg: 92.2837, loss: 0.1911 +2023-03-04 08:17:34,254 - mmseg - INFO - Iter [116550/160000] lr: 3.750e-05, eta: 2:38:51, time: 0.190, data_time: 0.008, memory: 52540, decode.loss_ce: 0.1947, decode.acc_seg: 92.2210, loss: 0.1947 +2023-03-04 08:17:43,763 - mmseg - INFO - Iter [116600/160000] lr: 3.750e-05, eta: 2:38:39, time: 0.190, data_time: 0.008, memory: 52540, decode.loss_ce: 0.1887, decode.acc_seg: 92.2156, loss: 0.1887 +2023-03-04 08:17:53,477 - mmseg - INFO - Iter [116650/160000] lr: 3.750e-05, eta: 2:38:28, time: 0.194, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1916, decode.acc_seg: 92.1137, loss: 0.1916 +2023-03-04 08:18:02,939 - mmseg - INFO - Iter [116700/160000] lr: 3.750e-05, eta: 2:38:16, time: 0.189, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1896, decode.acc_seg: 92.2929, loss: 0.1896 +2023-03-04 08:18:15,188 - mmseg - INFO - Iter [116750/160000] lr: 3.750e-05, eta: 2:38:06, time: 0.245, data_time: 0.054, memory: 52540, decode.loss_ce: 0.1868, decode.acc_seg: 92.3863, loss: 0.1868 +2023-03-04 08:18:24,750 - mmseg - INFO - Iter [116800/160000] lr: 3.750e-05, eta: 2:37:54, time: 0.191, data_time: 0.008, memory: 52540, decode.loss_ce: 0.1903, decode.acc_seg: 92.1799, loss: 0.1903 +2023-03-04 08:18:34,489 - mmseg - INFO - Iter [116850/160000] lr: 3.750e-05, eta: 2:37:43, time: 0.195, data_time: 0.008, memory: 52540, decode.loss_ce: 0.1931, decode.acc_seg: 92.2245, loss: 0.1931 +2023-03-04 08:18:44,229 - mmseg - INFO - Iter [116900/160000] lr: 3.750e-05, eta: 2:37:32, time: 0.195, data_time: 0.008, memory: 52540, decode.loss_ce: 0.1825, decode.acc_seg: 92.3733, loss: 0.1825 +2023-03-04 08:18:53,793 - mmseg - INFO - Iter [116950/160000] lr: 3.750e-05, eta: 2:37:20, time: 0.191, data_time: 0.008, memory: 52540, decode.loss_ce: 0.1820, decode.acc_seg: 92.4490, loss: 0.1820 +2023-03-04 08:19:03,361 - mmseg - INFO - Exp name: ablation_segformer_mit_b2_segformer_head_unet_fc_small_multi_step_ade_pretrained_freeze_embed_160k_ade20k151_finetune_ema_t50.py +2023-03-04 08:19:03,361 - mmseg - INFO - Iter [117000/160000] lr: 3.750e-05, eta: 2:37:09, time: 0.191, data_time: 0.008, memory: 52540, decode.loss_ce: 0.1887, decode.acc_seg: 92.3802, loss: 0.1887 +2023-03-04 08:19:13,039 - mmseg - INFO - Iter [117050/160000] lr: 3.750e-05, eta: 2:36:57, time: 0.194, data_time: 0.008, memory: 52540, decode.loss_ce: 0.1883, decode.acc_seg: 92.2607, loss: 0.1883 +2023-03-04 08:19:22,548 - mmseg - INFO - Iter [117100/160000] lr: 3.750e-05, eta: 2:36:46, time: 0.190, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1877, decode.acc_seg: 92.2797, loss: 0.1877 +2023-03-04 08:19:32,233 - mmseg - INFO - Iter [117150/160000] lr: 3.750e-05, eta: 2:36:34, time: 0.194, data_time: 0.008, memory: 52540, decode.loss_ce: 0.1883, decode.acc_seg: 92.4153, loss: 0.1883 +2023-03-04 08:19:41,767 - mmseg - INFO - Iter [117200/160000] lr: 3.750e-05, eta: 2:36:23, time: 0.191, data_time: 0.008, memory: 52540, decode.loss_ce: 0.1864, decode.acc_seg: 92.2934, loss: 0.1864 +2023-03-04 08:19:51,374 - mmseg - INFO - Iter [117250/160000] lr: 3.750e-05, eta: 2:36:11, time: 0.192, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1909, decode.acc_seg: 92.1729, loss: 0.1909 +2023-03-04 08:20:00,850 - mmseg - INFO - Iter [117300/160000] lr: 3.750e-05, eta: 2:36:00, time: 0.190, data_time: 0.008, memory: 52540, decode.loss_ce: 0.1841, decode.acc_seg: 92.4147, loss: 0.1841 +2023-03-04 08:20:10,548 - mmseg - INFO - Iter [117350/160000] lr: 3.750e-05, eta: 2:35:48, time: 0.194, data_time: 0.008, memory: 52540, decode.loss_ce: 0.1960, decode.acc_seg: 92.0349, loss: 0.1960 +2023-03-04 08:20:22,678 - mmseg - INFO - Iter [117400/160000] lr: 3.750e-05, eta: 2:35:38, time: 0.243, data_time: 0.056, memory: 52540, decode.loss_ce: 0.1818, decode.acc_seg: 92.5253, loss: 0.1818 +2023-03-04 08:20:32,534 - mmseg - INFO - Iter [117450/160000] lr: 3.750e-05, eta: 2:35:26, time: 0.197, data_time: 0.008, memory: 52540, decode.loss_ce: 0.1838, decode.acc_seg: 92.3843, loss: 0.1838 +2023-03-04 08:20:42,726 - mmseg - INFO - Iter [117500/160000] lr: 3.750e-05, eta: 2:35:15, time: 0.204, data_time: 0.008, memory: 52540, decode.loss_ce: 0.1762, decode.acc_seg: 92.5961, loss: 0.1762 +2023-03-04 08:20:52,359 - mmseg - INFO - Iter [117550/160000] lr: 3.750e-05, eta: 2:35:04, time: 0.193, data_time: 0.008, memory: 52540, decode.loss_ce: 0.1893, decode.acc_seg: 92.1399, loss: 0.1893 +2023-03-04 08:21:01,963 - mmseg - INFO - Iter [117600/160000] lr: 3.750e-05, eta: 2:34:52, time: 0.192, data_time: 0.008, memory: 52540, decode.loss_ce: 0.1937, decode.acc_seg: 92.0809, loss: 0.1937 +2023-03-04 08:21:11,746 - mmseg - INFO - Iter [117650/160000] lr: 3.750e-05, eta: 2:34:41, time: 0.196, data_time: 0.008, memory: 52540, decode.loss_ce: 0.1839, decode.acc_seg: 92.3219, loss: 0.1839 +2023-03-04 08:21:21,264 - mmseg - INFO - Iter [117700/160000] lr: 3.750e-05, eta: 2:34:29, time: 0.190, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1909, decode.acc_seg: 92.1900, loss: 0.1909 +2023-03-04 08:21:31,051 - mmseg - INFO - Iter [117750/160000] lr: 3.750e-05, eta: 2:34:18, time: 0.196, data_time: 0.008, memory: 52540, decode.loss_ce: 0.1838, decode.acc_seg: 92.4052, loss: 0.1838 +2023-03-04 08:21:40,706 - mmseg - INFO - Iter [117800/160000] lr: 3.750e-05, eta: 2:34:07, time: 0.193, data_time: 0.008, memory: 52540, decode.loss_ce: 0.1855, decode.acc_seg: 92.5114, loss: 0.1855 +2023-03-04 08:21:50,378 - mmseg - INFO - Iter [117850/160000] lr: 3.750e-05, eta: 2:33:55, time: 0.193, data_time: 0.008, memory: 52540, decode.loss_ce: 0.1930, decode.acc_seg: 92.1791, loss: 0.1930 +2023-03-04 08:21:59,834 - mmseg - INFO - Iter [117900/160000] lr: 3.750e-05, eta: 2:33:44, time: 0.189, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1944, decode.acc_seg: 91.9313, loss: 0.1944 +2023-03-04 08:22:10,016 - mmseg - INFO - Iter [117950/160000] lr: 3.750e-05, eta: 2:33:33, time: 0.204, data_time: 0.008, memory: 52540, decode.loss_ce: 0.1864, decode.acc_seg: 92.3803, loss: 0.1864 +2023-03-04 08:22:22,229 - mmseg - INFO - Exp name: ablation_segformer_mit_b2_segformer_head_unet_fc_small_multi_step_ade_pretrained_freeze_embed_160k_ade20k151_finetune_ema_t50.py +2023-03-04 08:22:22,229 - mmseg - INFO - Iter [118000/160000] lr: 3.750e-05, eta: 2:33:22, time: 0.244, data_time: 0.058, memory: 52540, decode.loss_ce: 0.1808, decode.acc_seg: 92.5823, loss: 0.1808 +2023-03-04 08:22:31,809 - mmseg - INFO - Iter [118050/160000] lr: 3.750e-05, eta: 2:33:11, time: 0.192, data_time: 0.008, memory: 52540, decode.loss_ce: 0.1820, decode.acc_seg: 92.4396, loss: 0.1820 +2023-03-04 08:22:41,429 - mmseg - INFO - Iter [118100/160000] lr: 3.750e-05, eta: 2:32:59, time: 0.192, data_time: 0.008, memory: 52540, decode.loss_ce: 0.1867, decode.acc_seg: 92.4313, loss: 0.1867 +2023-03-04 08:22:50,925 - mmseg - INFO - Iter [118150/160000] lr: 3.750e-05, eta: 2:32:48, time: 0.190, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1779, decode.acc_seg: 92.6737, loss: 0.1779 +2023-03-04 08:23:00,367 - mmseg - INFO - Iter [118200/160000] lr: 3.750e-05, eta: 2:32:36, time: 0.189, data_time: 0.008, memory: 52540, decode.loss_ce: 0.1822, decode.acc_seg: 92.4895, loss: 0.1822 +2023-03-04 08:23:10,002 - mmseg - INFO - Iter [118250/160000] lr: 3.750e-05, eta: 2:32:25, time: 0.193, data_time: 0.008, memory: 52540, decode.loss_ce: 0.1924, decode.acc_seg: 92.1166, loss: 0.1924 +2023-03-04 08:23:19,577 - mmseg - INFO - Iter [118300/160000] lr: 3.750e-05, eta: 2:32:13, time: 0.191, data_time: 0.008, memory: 52540, decode.loss_ce: 0.1846, decode.acc_seg: 92.3442, loss: 0.1846 +2023-03-04 08:23:29,395 - mmseg - INFO - Iter [118350/160000] lr: 3.750e-05, eta: 2:32:02, time: 0.196, data_time: 0.008, memory: 52540, decode.loss_ce: 0.1846, decode.acc_seg: 92.4044, loss: 0.1846 +2023-03-04 08:23:39,012 - mmseg - INFO - Iter [118400/160000] lr: 3.750e-05, eta: 2:31:51, time: 0.192, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1942, decode.acc_seg: 92.1184, loss: 0.1942 +2023-03-04 08:23:48,507 - mmseg - INFO - Iter [118450/160000] lr: 3.750e-05, eta: 2:31:39, time: 0.190, data_time: 0.008, memory: 52540, decode.loss_ce: 0.1826, decode.acc_seg: 92.4259, loss: 0.1826 +2023-03-04 08:23:58,268 - mmseg - INFO - Iter [118500/160000] lr: 3.750e-05, eta: 2:31:28, time: 0.195, data_time: 0.008, memory: 52540, decode.loss_ce: 0.1869, decode.acc_seg: 92.2686, loss: 0.1869 +2023-03-04 08:24:07,738 - mmseg - INFO - Iter [118550/160000] lr: 3.750e-05, eta: 2:31:16, time: 0.189, data_time: 0.008, memory: 52540, decode.loss_ce: 0.1833, decode.acc_seg: 92.5482, loss: 0.1833 +2023-03-04 08:24:17,187 - mmseg - INFO - Iter [118600/160000] lr: 3.750e-05, eta: 2:31:05, time: 0.189, data_time: 0.008, memory: 52540, decode.loss_ce: 0.1890, decode.acc_seg: 92.2756, loss: 0.1890 +2023-03-04 08:24:29,401 - mmseg - INFO - Iter [118650/160000] lr: 3.750e-05, eta: 2:30:54, time: 0.244, data_time: 0.055, memory: 52540, decode.loss_ce: 0.1902, decode.acc_seg: 92.1378, loss: 0.1902 +2023-03-04 08:24:39,193 - mmseg - INFO - Iter [118700/160000] lr: 3.750e-05, eta: 2:30:43, time: 0.196, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1875, decode.acc_seg: 92.2794, loss: 0.1875 +2023-03-04 08:24:48,669 - mmseg - INFO - Iter [118750/160000] lr: 3.750e-05, eta: 2:30:31, time: 0.189, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1902, decode.acc_seg: 92.2301, loss: 0.1902 +2023-03-04 08:24:58,996 - mmseg - INFO - Iter [118800/160000] lr: 3.750e-05, eta: 2:30:20, time: 0.207, data_time: 0.008, memory: 52540, decode.loss_ce: 0.1912, decode.acc_seg: 92.1831, loss: 0.1912 +2023-03-04 08:25:08,437 - mmseg - INFO - Iter [118850/160000] lr: 3.750e-05, eta: 2:30:09, time: 0.189, data_time: 0.008, memory: 52540, decode.loss_ce: 0.1840, decode.acc_seg: 92.3811, loss: 0.1840 +2023-03-04 08:25:18,157 - mmseg - INFO - Iter [118900/160000] lr: 3.750e-05, eta: 2:29:57, time: 0.194, data_time: 0.008, memory: 52540, decode.loss_ce: 0.1831, decode.acc_seg: 92.4211, loss: 0.1831 +2023-03-04 08:25:27,753 - mmseg - INFO - Iter [118950/160000] lr: 3.750e-05, eta: 2:29:46, time: 0.192, data_time: 0.008, memory: 52540, decode.loss_ce: 0.1836, decode.acc_seg: 92.4607, loss: 0.1836 +2023-03-04 08:25:37,220 - mmseg - INFO - Exp name: ablation_segformer_mit_b2_segformer_head_unet_fc_small_multi_step_ade_pretrained_freeze_embed_160k_ade20k151_finetune_ema_t50.py +2023-03-04 08:25:37,220 - mmseg - INFO - Iter [119000/160000] lr: 3.750e-05, eta: 2:29:35, time: 0.189, data_time: 0.008, memory: 52540, decode.loss_ce: 0.1833, decode.acc_seg: 92.2798, loss: 0.1833 +2023-03-04 08:25:47,028 - mmseg - INFO - Iter [119050/160000] lr: 3.750e-05, eta: 2:29:23, time: 0.196, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1878, decode.acc_seg: 92.2332, loss: 0.1878 +2023-03-04 08:25:56,831 - mmseg - INFO - Iter [119100/160000] lr: 3.750e-05, eta: 2:29:12, time: 0.196, data_time: 0.008, memory: 52540, decode.loss_ce: 0.1926, decode.acc_seg: 92.1515, loss: 0.1926 +2023-03-04 08:26:06,227 - mmseg - INFO - Iter [119150/160000] lr: 3.750e-05, eta: 2:29:00, time: 0.188, data_time: 0.008, memory: 52540, decode.loss_ce: 0.1853, decode.acc_seg: 92.3571, loss: 0.1853 +2023-03-04 08:26:15,894 - mmseg - INFO - Iter [119200/160000] lr: 3.750e-05, eta: 2:28:49, time: 0.193, data_time: 0.008, memory: 52540, decode.loss_ce: 0.1884, decode.acc_seg: 92.3570, loss: 0.1884 +2023-03-04 08:26:25,355 - mmseg - INFO - Iter [119250/160000] lr: 3.750e-05, eta: 2:28:38, time: 0.189, data_time: 0.008, memory: 52540, decode.loss_ce: 0.1862, decode.acc_seg: 92.3347, loss: 0.1862 +2023-03-04 08:26:37,383 - mmseg - INFO - Iter [119300/160000] lr: 3.750e-05, eta: 2:28:27, time: 0.241, data_time: 0.054, memory: 52540, decode.loss_ce: 0.1918, decode.acc_seg: 92.1295, loss: 0.1918 +2023-03-04 08:26:47,037 - mmseg - INFO - Iter [119350/160000] lr: 3.750e-05, eta: 2:28:16, time: 0.193, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1862, decode.acc_seg: 92.3900, loss: 0.1862 +2023-03-04 08:26:56,757 - mmseg - INFO - Iter [119400/160000] lr: 3.750e-05, eta: 2:28:04, time: 0.194, data_time: 0.008, memory: 52540, decode.loss_ce: 0.1833, decode.acc_seg: 92.3589, loss: 0.1833 +2023-03-04 08:27:06,490 - mmseg - INFO - Iter [119450/160000] lr: 3.750e-05, eta: 2:27:53, time: 0.195, data_time: 0.008, memory: 52540, decode.loss_ce: 0.1863, decode.acc_seg: 92.3413, loss: 0.1863 +2023-03-04 08:27:15,948 - mmseg - INFO - Iter [119500/160000] lr: 3.750e-05, eta: 2:27:42, time: 0.189, data_time: 0.008, memory: 52540, decode.loss_ce: 0.1790, decode.acc_seg: 92.4494, loss: 0.1790 +2023-03-04 08:27:25,870 - mmseg - INFO - Iter [119550/160000] lr: 3.750e-05, eta: 2:27:30, time: 0.198, data_time: 0.008, memory: 52540, decode.loss_ce: 0.1826, decode.acc_seg: 92.5262, loss: 0.1826 +2023-03-04 08:27:35,500 - mmseg - INFO - Iter [119600/160000] lr: 3.750e-05, eta: 2:27:19, time: 0.193, data_time: 0.008, memory: 52540, decode.loss_ce: 0.1794, decode.acc_seg: 92.4819, loss: 0.1794 +2023-03-04 08:27:45,083 - mmseg - INFO - Iter [119650/160000] lr: 3.750e-05, eta: 2:27:07, time: 0.192, data_time: 0.008, memory: 52540, decode.loss_ce: 0.1865, decode.acc_seg: 92.2883, loss: 0.1865 +2023-03-04 08:27:54,510 - mmseg - INFO - Iter [119700/160000] lr: 3.750e-05, eta: 2:26:56, time: 0.189, data_time: 0.008, memory: 52540, decode.loss_ce: 0.1885, decode.acc_seg: 92.2280, loss: 0.1885 +2023-03-04 08:28:04,150 - mmseg - INFO - Iter [119750/160000] lr: 3.750e-05, eta: 2:26:45, time: 0.193, data_time: 0.008, memory: 52540, decode.loss_ce: 0.1848, decode.acc_seg: 92.3709, loss: 0.1848 +2023-03-04 08:28:13,698 - mmseg - INFO - Iter [119800/160000] lr: 3.750e-05, eta: 2:26:33, time: 0.191, data_time: 0.008, memory: 52540, decode.loss_ce: 0.1899, decode.acc_seg: 92.3028, loss: 0.1899 +2023-03-04 08:28:23,198 - mmseg - INFO - Iter [119850/160000] lr: 3.750e-05, eta: 2:26:22, time: 0.190, data_time: 0.008, memory: 52540, decode.loss_ce: 0.1915, decode.acc_seg: 92.1994, loss: 0.1915 +2023-03-04 08:28:35,189 - mmseg - INFO - Iter [119900/160000] lr: 3.750e-05, eta: 2:26:11, time: 0.240, data_time: 0.056, memory: 52540, decode.loss_ce: 0.1837, decode.acc_seg: 92.4408, loss: 0.1837 +2023-03-04 08:28:44,763 - mmseg - INFO - Iter [119950/160000] lr: 3.750e-05, eta: 2:26:00, time: 0.191, data_time: 0.008, memory: 52540, decode.loss_ce: 0.1936, decode.acc_seg: 92.0176, loss: 0.1936 +2023-03-04 08:28:54,253 - mmseg - INFO - Exp name: ablation_segformer_mit_b2_segformer_head_unet_fc_small_multi_step_ade_pretrained_freeze_embed_160k_ade20k151_finetune_ema_t50.py +2023-03-04 08:28:54,253 - mmseg - INFO - Iter [120000/160000] lr: 3.750e-05, eta: 2:25:48, time: 0.190, data_time: 0.008, memory: 52540, decode.loss_ce: 0.1904, decode.acc_seg: 92.1918, loss: 0.1904 +2023-03-04 08:29:03,791 - mmseg - INFO - Iter [120050/160000] lr: 3.750e-05, eta: 2:25:37, time: 0.191, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1913, decode.acc_seg: 92.0601, loss: 0.1913 +2023-03-04 08:29:13,649 - mmseg - INFO - Iter [120100/160000] lr: 3.750e-05, eta: 2:25:26, time: 0.197, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1912, decode.acc_seg: 92.1053, loss: 0.1912 +2023-03-04 08:29:23,493 - mmseg - INFO - Iter [120150/160000] lr: 3.750e-05, eta: 2:25:14, time: 0.197, data_time: 0.008, memory: 52540, decode.loss_ce: 0.1835, decode.acc_seg: 92.4624, loss: 0.1835 +2023-03-04 08:29:32,997 - mmseg - INFO - Iter [120200/160000] lr: 3.750e-05, eta: 2:25:03, time: 0.190, data_time: 0.008, memory: 52540, decode.loss_ce: 0.1837, decode.acc_seg: 92.4114, loss: 0.1837 +2023-03-04 08:29:42,469 - mmseg - INFO - Iter [120250/160000] lr: 3.750e-05, eta: 2:24:52, time: 0.189, data_time: 0.008, memory: 52540, decode.loss_ce: 0.1883, decode.acc_seg: 92.3505, loss: 0.1883 +2023-03-04 08:29:51,906 - mmseg - INFO - Iter [120300/160000] lr: 3.750e-05, eta: 2:24:40, time: 0.189, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1874, decode.acc_seg: 92.3375, loss: 0.1874 +2023-03-04 08:30:01,835 - mmseg - INFO - Iter [120350/160000] lr: 3.750e-05, eta: 2:24:29, time: 0.199, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1787, decode.acc_seg: 92.6295, loss: 0.1787 +2023-03-04 08:30:11,756 - mmseg - INFO - Iter [120400/160000] lr: 3.750e-05, eta: 2:24:18, time: 0.198, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1858, decode.acc_seg: 92.3038, loss: 0.1858 +2023-03-04 08:30:21,289 - mmseg - INFO - Iter [120450/160000] lr: 3.750e-05, eta: 2:24:06, time: 0.191, data_time: 0.008, memory: 52540, decode.loss_ce: 0.1785, decode.acc_seg: 92.5288, loss: 0.1785 +2023-03-04 08:30:30,913 - mmseg - INFO - Iter [120500/160000] lr: 3.750e-05, eta: 2:23:55, time: 0.193, data_time: 0.008, memory: 52540, decode.loss_ce: 0.1855, decode.acc_seg: 92.5088, loss: 0.1855 +2023-03-04 08:30:43,102 - mmseg - INFO - Iter [120550/160000] lr: 3.750e-05, eta: 2:23:44, time: 0.244, data_time: 0.057, memory: 52540, decode.loss_ce: 0.1866, decode.acc_seg: 92.2361, loss: 0.1866 +2023-03-04 08:30:52,602 - mmseg - INFO - Iter [120600/160000] lr: 3.750e-05, eta: 2:23:33, time: 0.190, data_time: 0.008, memory: 52540, decode.loss_ce: 0.1802, decode.acc_seg: 92.5450, loss: 0.1802 +2023-03-04 08:31:02,024 - mmseg - INFO - Iter [120650/160000] lr: 3.750e-05, eta: 2:23:22, time: 0.188, data_time: 0.008, memory: 52540, decode.loss_ce: 0.1863, decode.acc_seg: 92.3577, loss: 0.1863 +2023-03-04 08:31:11,715 - mmseg - INFO - Iter [120700/160000] lr: 3.750e-05, eta: 2:23:10, time: 0.194, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1847, decode.acc_seg: 92.4915, loss: 0.1847 +2023-03-04 08:31:21,610 - mmseg - INFO - Iter [120750/160000] lr: 3.750e-05, eta: 2:22:59, time: 0.198, data_time: 0.008, memory: 52540, decode.loss_ce: 0.1930, decode.acc_seg: 92.2170, loss: 0.1930 +2023-03-04 08:31:31,173 - mmseg - INFO - Iter [120800/160000] lr: 3.750e-05, eta: 2:22:48, time: 0.191, data_time: 0.008, memory: 52540, decode.loss_ce: 0.1932, decode.acc_seg: 92.1653, loss: 0.1932 +2023-03-04 08:31:40,743 - mmseg - INFO - Iter [120850/160000] lr: 3.750e-05, eta: 2:22:36, time: 0.191, data_time: 0.008, memory: 52540, decode.loss_ce: 0.1816, decode.acc_seg: 92.6030, loss: 0.1816 +2023-03-04 08:31:50,367 - mmseg - INFO - Iter [120900/160000] lr: 3.750e-05, eta: 2:22:25, time: 0.192, data_time: 0.008, memory: 52540, decode.loss_ce: 0.1903, decode.acc_seg: 92.1699, loss: 0.1903 +2023-03-04 08:31:59,821 - mmseg - INFO - Iter [120950/160000] lr: 3.750e-05, eta: 2:22:13, time: 0.189, data_time: 0.008, memory: 52540, decode.loss_ce: 0.1825, decode.acc_seg: 92.4133, loss: 0.1825 +2023-03-04 08:32:09,394 - mmseg - INFO - Exp name: ablation_segformer_mit_b2_segformer_head_unet_fc_small_multi_step_ade_pretrained_freeze_embed_160k_ade20k151_finetune_ema_t50.py +2023-03-04 08:32:09,394 - mmseg - INFO - Iter [121000/160000] lr: 3.750e-05, eta: 2:22:02, time: 0.191, data_time: 0.008, memory: 52540, decode.loss_ce: 0.1872, decode.acc_seg: 92.1654, loss: 0.1872 +2023-03-04 08:32:19,036 - mmseg - INFO - Iter [121050/160000] lr: 3.750e-05, eta: 2:21:51, time: 0.193, data_time: 0.008, memory: 52540, decode.loss_ce: 0.1944, decode.acc_seg: 92.1770, loss: 0.1944 +2023-03-04 08:32:28,864 - mmseg - INFO - Iter [121100/160000] lr: 3.750e-05, eta: 2:21:39, time: 0.196, data_time: 0.008, memory: 52540, decode.loss_ce: 0.1874, decode.acc_seg: 92.3232, loss: 0.1874 +2023-03-04 08:32:38,488 - mmseg - INFO - Iter [121150/160000] lr: 3.750e-05, eta: 2:21:28, time: 0.193, data_time: 0.008, memory: 52540, decode.loss_ce: 0.1860, decode.acc_seg: 92.3934, loss: 0.1860 +2023-03-04 08:32:50,820 - mmseg - INFO - Iter [121200/160000] lr: 3.750e-05, eta: 2:21:18, time: 0.246, data_time: 0.054, memory: 52540, decode.loss_ce: 0.1909, decode.acc_seg: 92.1569, loss: 0.1909 +2023-03-04 08:33:00,327 - mmseg - INFO - Iter [121250/160000] lr: 3.750e-05, eta: 2:21:06, time: 0.190, data_time: 0.008, memory: 52540, decode.loss_ce: 0.1926, decode.acc_seg: 92.0386, loss: 0.1926 +2023-03-04 08:33:10,053 - mmseg - INFO - Iter [121300/160000] lr: 3.750e-05, eta: 2:20:55, time: 0.195, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1866, decode.acc_seg: 92.4283, loss: 0.1866 +2023-03-04 08:33:19,754 - mmseg - INFO - Iter [121350/160000] lr: 3.750e-05, eta: 2:20:44, time: 0.194, data_time: 0.008, memory: 52540, decode.loss_ce: 0.1837, decode.acc_seg: 92.3405, loss: 0.1837 +2023-03-04 08:33:29,379 - mmseg - INFO - Iter [121400/160000] lr: 3.750e-05, eta: 2:20:32, time: 0.192, data_time: 0.008, memory: 52540, decode.loss_ce: 0.1852, decode.acc_seg: 92.2412, loss: 0.1852 +2023-03-04 08:33:39,085 - mmseg - INFO - Iter [121450/160000] lr: 3.750e-05, eta: 2:20:21, time: 0.194, data_time: 0.008, memory: 52540, decode.loss_ce: 0.1827, decode.acc_seg: 92.6277, loss: 0.1827 +2023-03-04 08:33:48,825 - mmseg - INFO - Iter [121500/160000] lr: 3.750e-05, eta: 2:20:10, time: 0.195, data_time: 0.008, memory: 52540, decode.loss_ce: 0.1926, decode.acc_seg: 92.0854, loss: 0.1926 +2023-03-04 08:33:58,636 - mmseg - INFO - Iter [121550/160000] lr: 3.750e-05, eta: 2:19:58, time: 0.196, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1884, decode.acc_seg: 92.3322, loss: 0.1884 +2023-03-04 08:34:08,278 - mmseg - INFO - Iter [121600/160000] lr: 3.750e-05, eta: 2:19:47, time: 0.193, data_time: 0.008, memory: 52540, decode.loss_ce: 0.1917, decode.acc_seg: 92.0320, loss: 0.1917 +2023-03-04 08:34:18,042 - mmseg - INFO - Iter [121650/160000] lr: 3.750e-05, eta: 2:19:36, time: 0.195, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1802, decode.acc_seg: 92.4701, loss: 0.1802 +2023-03-04 08:34:27,846 - mmseg - INFO - Iter [121700/160000] lr: 3.750e-05, eta: 2:19:25, time: 0.196, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1847, decode.acc_seg: 92.4649, loss: 0.1847 +2023-03-04 08:34:37,597 - mmseg - INFO - Iter [121750/160000] lr: 3.750e-05, eta: 2:19:13, time: 0.195, data_time: 0.008, memory: 52540, decode.loss_ce: 0.1868, decode.acc_seg: 92.3425, loss: 0.1868 +2023-03-04 08:34:49,584 - mmseg - INFO - Iter [121800/160000] lr: 3.750e-05, eta: 2:19:03, time: 0.240, data_time: 0.055, memory: 52540, decode.loss_ce: 0.1865, decode.acc_seg: 92.3782, loss: 0.1865 +2023-03-04 08:34:59,623 - mmseg - INFO - Iter [121850/160000] lr: 3.750e-05, eta: 2:18:51, time: 0.201, data_time: 0.008, memory: 52540, decode.loss_ce: 0.1915, decode.acc_seg: 92.1657, loss: 0.1915 +2023-03-04 08:35:09,327 - mmseg - INFO - Iter [121900/160000] lr: 3.750e-05, eta: 2:18:40, time: 0.194, data_time: 0.008, memory: 52540, decode.loss_ce: 0.1840, decode.acc_seg: 92.4333, loss: 0.1840 +2023-03-04 08:35:18,842 - mmseg - INFO - Iter [121950/160000] lr: 3.750e-05, eta: 2:18:29, time: 0.190, data_time: 0.008, memory: 52540, decode.loss_ce: 0.1867, decode.acc_seg: 92.2404, loss: 0.1867 +2023-03-04 08:35:28,392 - mmseg - INFO - Exp name: ablation_segformer_mit_b2_segformer_head_unet_fc_small_multi_step_ade_pretrained_freeze_embed_160k_ade20k151_finetune_ema_t50.py +2023-03-04 08:35:28,392 - mmseg - INFO - Iter [122000/160000] lr: 3.750e-05, eta: 2:18:17, time: 0.191, data_time: 0.008, memory: 52540, decode.loss_ce: 0.1816, decode.acc_seg: 92.4871, loss: 0.1816 +2023-03-04 08:35:38,002 - mmseg - INFO - Iter [122050/160000] lr: 3.750e-05, eta: 2:18:06, time: 0.192, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1895, decode.acc_seg: 92.1520, loss: 0.1895 +2023-03-04 08:35:47,524 - mmseg - INFO - Iter [122100/160000] lr: 3.750e-05, eta: 2:17:55, time: 0.190, data_time: 0.008, memory: 52540, decode.loss_ce: 0.1899, decode.acc_seg: 92.2089, loss: 0.1899 +2023-03-04 08:35:57,279 - mmseg - INFO - Iter [122150/160000] lr: 3.750e-05, eta: 2:17:44, time: 0.195, data_time: 0.008, memory: 52540, decode.loss_ce: 0.1804, decode.acc_seg: 92.5785, loss: 0.1804 +2023-03-04 08:36:07,354 - mmseg - INFO - Iter [122200/160000] lr: 3.750e-05, eta: 2:17:32, time: 0.202, data_time: 0.008, memory: 52540, decode.loss_ce: 0.1823, decode.acc_seg: 92.4954, loss: 0.1823 +2023-03-04 08:36:16,964 - mmseg - INFO - Iter [122250/160000] lr: 3.750e-05, eta: 2:17:21, time: 0.192, data_time: 0.008, memory: 52540, decode.loss_ce: 0.1864, decode.acc_seg: 92.3029, loss: 0.1864 +2023-03-04 08:36:26,547 - mmseg - INFO - Iter [122300/160000] lr: 3.750e-05, eta: 2:17:10, time: 0.191, data_time: 0.008, memory: 52540, decode.loss_ce: 0.1819, decode.acc_seg: 92.5098, loss: 0.1819 +2023-03-04 08:36:36,236 - mmseg - INFO - Iter [122350/160000] lr: 3.750e-05, eta: 2:16:58, time: 0.194, data_time: 0.008, memory: 52540, decode.loss_ce: 0.1794, decode.acc_seg: 92.6476, loss: 0.1794 +2023-03-04 08:36:45,746 - mmseg - INFO - Iter [122400/160000] lr: 3.750e-05, eta: 2:16:47, time: 0.190, data_time: 0.008, memory: 52540, decode.loss_ce: 0.1886, decode.acc_seg: 92.2629, loss: 0.1886 +2023-03-04 08:36:57,914 - mmseg - INFO - Iter [122450/160000] lr: 3.750e-05, eta: 2:16:37, time: 0.243, data_time: 0.057, memory: 52540, decode.loss_ce: 0.1902, decode.acc_seg: 92.2488, loss: 0.1902 +2023-03-04 08:37:07,433 - mmseg - INFO - Iter [122500/160000] lr: 3.750e-05, eta: 2:16:25, time: 0.191, data_time: 0.008, memory: 52540, decode.loss_ce: 0.1791, decode.acc_seg: 92.6395, loss: 0.1791 +2023-03-04 08:37:17,017 - mmseg - INFO - Iter [122550/160000] lr: 3.750e-05, eta: 2:16:14, time: 0.192, data_time: 0.008, memory: 52540, decode.loss_ce: 0.1869, decode.acc_seg: 92.3019, loss: 0.1869 +2023-03-04 08:37:26,621 - mmseg - INFO - Iter [122600/160000] lr: 3.750e-05, eta: 2:16:03, time: 0.192, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1890, decode.acc_seg: 92.1903, loss: 0.1890 +2023-03-04 08:37:36,416 - mmseg - INFO - Iter [122650/160000] lr: 3.750e-05, eta: 2:15:51, time: 0.196, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1838, decode.acc_seg: 92.4999, loss: 0.1838 +2023-03-04 08:37:46,091 - mmseg - INFO - Iter [122700/160000] lr: 3.750e-05, eta: 2:15:40, time: 0.193, data_time: 0.008, memory: 52540, decode.loss_ce: 0.1899, decode.acc_seg: 92.1694, loss: 0.1899 +2023-03-04 08:37:55,680 - mmseg - INFO - Iter [122750/160000] lr: 3.750e-05, eta: 2:15:29, time: 0.192, data_time: 0.008, memory: 52540, decode.loss_ce: 0.1841, decode.acc_seg: 92.3859, loss: 0.1841 +2023-03-04 08:38:05,410 - mmseg - INFO - Iter [122800/160000] lr: 3.750e-05, eta: 2:15:17, time: 0.195, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1885, decode.acc_seg: 92.1835, loss: 0.1885 +2023-03-04 08:38:14,905 - mmseg - INFO - Iter [122850/160000] lr: 3.750e-05, eta: 2:15:06, time: 0.190, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1855, decode.acc_seg: 92.3663, loss: 0.1855 +2023-03-04 08:38:24,725 - mmseg - INFO - Iter [122900/160000] lr: 3.750e-05, eta: 2:14:55, time: 0.197, data_time: 0.008, memory: 52540, decode.loss_ce: 0.1883, decode.acc_seg: 92.2987, loss: 0.1883 +2023-03-04 08:38:34,446 - mmseg - INFO - Iter [122950/160000] lr: 3.750e-05, eta: 2:14:44, time: 0.194, data_time: 0.008, memory: 52540, decode.loss_ce: 0.1940, decode.acc_seg: 92.0726, loss: 0.1940 +2023-03-04 08:38:44,003 - mmseg - INFO - Exp name: ablation_segformer_mit_b2_segformer_head_unet_fc_small_multi_step_ade_pretrained_freeze_embed_160k_ade20k151_finetune_ema_t50.py +2023-03-04 08:38:44,003 - mmseg - INFO - Iter [123000/160000] lr: 3.750e-05, eta: 2:14:32, time: 0.191, data_time: 0.008, memory: 52540, decode.loss_ce: 0.1905, decode.acc_seg: 92.3109, loss: 0.1905 +2023-03-04 08:38:56,306 - mmseg - INFO - Iter [123050/160000] lr: 3.750e-05, eta: 2:14:22, time: 0.246, data_time: 0.057, memory: 52540, decode.loss_ce: 0.1895, decode.acc_seg: 92.0683, loss: 0.1895 +2023-03-04 08:39:05,811 - mmseg - INFO - Iter [123100/160000] lr: 3.750e-05, eta: 2:14:10, time: 0.190, data_time: 0.008, memory: 52540, decode.loss_ce: 0.1772, decode.acc_seg: 92.6288, loss: 0.1772 +2023-03-04 08:39:15,318 - mmseg - INFO - Iter [123150/160000] lr: 3.750e-05, eta: 2:13:59, time: 0.190, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1877, decode.acc_seg: 92.3775, loss: 0.1877 +2023-03-04 08:39:24,903 - mmseg - INFO - Iter [123200/160000] lr: 3.750e-05, eta: 2:13:48, time: 0.192, data_time: 0.008, memory: 52540, decode.loss_ce: 0.1884, decode.acc_seg: 92.2590, loss: 0.1884 +2023-03-04 08:39:34,595 - mmseg - INFO - Iter [123250/160000] lr: 3.750e-05, eta: 2:13:37, time: 0.194, data_time: 0.008, memory: 52540, decode.loss_ce: 0.1860, decode.acc_seg: 92.4035, loss: 0.1860 +2023-03-04 08:39:44,210 - mmseg - INFO - Iter [123300/160000] lr: 3.750e-05, eta: 2:13:25, time: 0.192, data_time: 0.008, memory: 52540, decode.loss_ce: 0.1929, decode.acc_seg: 92.0997, loss: 0.1929 +2023-03-04 08:39:53,677 - mmseg - INFO - Iter [123350/160000] lr: 3.750e-05, eta: 2:13:14, time: 0.189, data_time: 0.008, memory: 52540, decode.loss_ce: 0.1873, decode.acc_seg: 92.2935, loss: 0.1873 +2023-03-04 08:40:03,357 - mmseg - INFO - Iter [123400/160000] lr: 3.750e-05, eta: 2:13:03, time: 0.193, data_time: 0.008, memory: 52540, decode.loss_ce: 0.1887, decode.acc_seg: 92.2259, loss: 0.1887 +2023-03-04 08:40:12,911 - mmseg - INFO - Iter [123450/160000] lr: 3.750e-05, eta: 2:12:51, time: 0.191, data_time: 0.008, memory: 52540, decode.loss_ce: 0.1873, decode.acc_seg: 92.3997, loss: 0.1873 +2023-03-04 08:40:22,587 - mmseg - INFO - Iter [123500/160000] lr: 3.750e-05, eta: 2:12:40, time: 0.194, data_time: 0.008, memory: 52540, decode.loss_ce: 0.1912, decode.acc_seg: 92.1933, loss: 0.1912 +2023-03-04 08:40:32,236 - mmseg - INFO - Iter [123550/160000] lr: 3.750e-05, eta: 2:12:29, time: 0.193, data_time: 0.008, memory: 52540, decode.loss_ce: 0.1817, decode.acc_seg: 92.4511, loss: 0.1817 +2023-03-04 08:40:41,670 - mmseg - INFO - Iter [123600/160000] lr: 3.750e-05, eta: 2:12:17, time: 0.189, data_time: 0.008, memory: 52540, decode.loss_ce: 0.1878, decode.acc_seg: 92.3504, loss: 0.1878 +2023-03-04 08:40:51,269 - mmseg - INFO - Iter [123650/160000] lr: 3.750e-05, eta: 2:12:06, time: 0.192, data_time: 0.008, memory: 52540, decode.loss_ce: 0.1941, decode.acc_seg: 92.1708, loss: 0.1941 +2023-03-04 08:41:03,660 - mmseg - INFO - Iter [123700/160000] lr: 3.750e-05, eta: 2:11:56, time: 0.248, data_time: 0.052, memory: 52540, decode.loss_ce: 0.1842, decode.acc_seg: 92.5417, loss: 0.1842 +2023-03-04 08:41:13,257 - mmseg - INFO - Iter [123750/160000] lr: 3.750e-05, eta: 2:11:44, time: 0.192, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1819, decode.acc_seg: 92.3990, loss: 0.1819 +2023-03-04 08:41:22,791 - mmseg - INFO - Iter [123800/160000] lr: 3.750e-05, eta: 2:11:33, time: 0.191, data_time: 0.008, memory: 52540, decode.loss_ce: 0.1758, decode.acc_seg: 92.6400, loss: 0.1758 +2023-03-04 08:41:32,689 - mmseg - INFO - Iter [123850/160000] lr: 3.750e-05, eta: 2:11:22, time: 0.198, data_time: 0.008, memory: 52540, decode.loss_ce: 0.1887, decode.acc_seg: 92.2324, loss: 0.1887 +2023-03-04 08:41:42,160 - mmseg - INFO - Iter [123900/160000] lr: 3.750e-05, eta: 2:11:11, time: 0.189, data_time: 0.008, memory: 52540, decode.loss_ce: 0.1799, decode.acc_seg: 92.6175, loss: 0.1799 +2023-03-04 08:41:51,605 - mmseg - INFO - Iter [123950/160000] lr: 3.750e-05, eta: 2:10:59, time: 0.189, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1924, decode.acc_seg: 92.2960, loss: 0.1924 +2023-03-04 08:42:01,126 - mmseg - INFO - Exp name: ablation_segformer_mit_b2_segformer_head_unet_fc_small_multi_step_ade_pretrained_freeze_embed_160k_ade20k151_finetune_ema_t50.py +2023-03-04 08:42:01,126 - mmseg - INFO - Iter [124000/160000] lr: 3.750e-05, eta: 2:10:48, time: 0.190, data_time: 0.008, memory: 52540, decode.loss_ce: 0.1882, decode.acc_seg: 92.1387, loss: 0.1882 +2023-03-04 08:42:10,701 - mmseg - INFO - Iter [124050/160000] lr: 3.750e-05, eta: 2:10:37, time: 0.192, data_time: 0.008, memory: 52540, decode.loss_ce: 0.1856, decode.acc_seg: 92.3779, loss: 0.1856 +2023-03-04 08:42:20,474 - mmseg - INFO - Iter [124100/160000] lr: 3.750e-05, eta: 2:10:25, time: 0.195, data_time: 0.008, memory: 52540, decode.loss_ce: 0.1900, decode.acc_seg: 92.2987, loss: 0.1900 +2023-03-04 08:42:29,971 - mmseg - INFO - Iter [124150/160000] lr: 3.750e-05, eta: 2:10:14, time: 0.190, data_time: 0.008, memory: 52540, decode.loss_ce: 0.1815, decode.acc_seg: 92.4970, loss: 0.1815 +2023-03-04 08:42:39,521 - mmseg - INFO - Iter [124200/160000] lr: 3.750e-05, eta: 2:10:03, time: 0.191, data_time: 0.008, memory: 52540, decode.loss_ce: 0.1926, decode.acc_seg: 92.0573, loss: 0.1926 +2023-03-04 08:42:49,382 - mmseg - INFO - Iter [124250/160000] lr: 3.750e-05, eta: 2:09:52, time: 0.197, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1953, decode.acc_seg: 92.0755, loss: 0.1953 +2023-03-04 08:42:58,996 - mmseg - INFO - Iter [124300/160000] lr: 3.750e-05, eta: 2:09:40, time: 0.193, data_time: 0.008, memory: 52540, decode.loss_ce: 0.1798, decode.acc_seg: 92.4982, loss: 0.1798 +2023-03-04 08:43:11,151 - mmseg - INFO - Iter [124350/160000] lr: 3.750e-05, eta: 2:09:30, time: 0.243, data_time: 0.055, memory: 52540, decode.loss_ce: 0.1858, decode.acc_seg: 92.2325, loss: 0.1858 +2023-03-04 08:43:20,897 - mmseg - INFO - Iter [124400/160000] lr: 3.750e-05, eta: 2:09:19, time: 0.195, data_time: 0.008, memory: 52540, decode.loss_ce: 0.1837, decode.acc_seg: 92.3267, loss: 0.1837 +2023-03-04 08:43:30,552 - mmseg - INFO - Iter [124450/160000] lr: 3.750e-05, eta: 2:09:07, time: 0.193, data_time: 0.008, memory: 52540, decode.loss_ce: 0.1896, decode.acc_seg: 92.2527, loss: 0.1896 +2023-03-04 08:43:40,174 - mmseg - INFO - Iter [124500/160000] lr: 3.750e-05, eta: 2:08:56, time: 0.192, data_time: 0.008, memory: 52540, decode.loss_ce: 0.1878, decode.acc_seg: 92.3452, loss: 0.1878 +2023-03-04 08:43:49,734 - mmseg - INFO - Iter [124550/160000] lr: 3.750e-05, eta: 2:08:45, time: 0.191, data_time: 0.008, memory: 52540, decode.loss_ce: 0.1839, decode.acc_seg: 92.4416, loss: 0.1839 +2023-03-04 08:43:59,372 - mmseg - INFO - Iter [124600/160000] lr: 3.750e-05, eta: 2:08:34, time: 0.193, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1844, decode.acc_seg: 92.3276, loss: 0.1844 +2023-03-04 08:44:08,834 - mmseg - INFO - Iter [124650/160000] lr: 3.750e-05, eta: 2:08:22, time: 0.189, data_time: 0.008, memory: 52540, decode.loss_ce: 0.1881, decode.acc_seg: 92.2221, loss: 0.1881 +2023-03-04 08:44:18,388 - mmseg - INFO - Iter [124700/160000] lr: 3.750e-05, eta: 2:08:11, time: 0.191, data_time: 0.008, memory: 52540, decode.loss_ce: 0.1785, decode.acc_seg: 92.5616, loss: 0.1785 +2023-03-04 08:44:28,123 - mmseg - INFO - Iter [124750/160000] lr: 3.750e-05, eta: 2:08:00, time: 0.195, data_time: 0.008, memory: 52540, decode.loss_ce: 0.1820, decode.acc_seg: 92.2650, loss: 0.1820 +2023-03-04 08:44:38,278 - mmseg - INFO - Iter [124800/160000] lr: 3.750e-05, eta: 2:07:49, time: 0.203, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1951, decode.acc_seg: 92.0933, loss: 0.1951 +2023-03-04 08:44:47,813 - mmseg - INFO - Iter [124850/160000] lr: 3.750e-05, eta: 2:07:37, time: 0.191, data_time: 0.008, memory: 52540, decode.loss_ce: 0.1841, decode.acc_seg: 92.4734, loss: 0.1841 +2023-03-04 08:44:57,300 - mmseg - INFO - Iter [124900/160000] lr: 3.750e-05, eta: 2:07:26, time: 0.190, data_time: 0.008, memory: 52540, decode.loss_ce: 0.1847, decode.acc_seg: 92.4131, loss: 0.1847 +2023-03-04 08:45:09,186 - mmseg - INFO - Iter [124950/160000] lr: 3.750e-05, eta: 2:07:16, time: 0.238, data_time: 0.055, memory: 52540, decode.loss_ce: 0.1888, decode.acc_seg: 92.1546, loss: 0.1888 +2023-03-04 08:45:18,637 - mmseg - INFO - Exp name: ablation_segformer_mit_b2_segformer_head_unet_fc_small_multi_step_ade_pretrained_freeze_embed_160k_ade20k151_finetune_ema_t50.py +2023-03-04 08:45:18,637 - mmseg - INFO - Iter [125000/160000] lr: 3.750e-05, eta: 2:07:04, time: 0.189, data_time: 0.008, memory: 52540, decode.loss_ce: 0.1828, decode.acc_seg: 92.4536, loss: 0.1828 +2023-03-04 08:45:28,093 - mmseg - INFO - Iter [125050/160000] lr: 3.750e-05, eta: 2:06:53, time: 0.189, data_time: 0.008, memory: 52540, decode.loss_ce: 0.1861, decode.acc_seg: 92.2679, loss: 0.1861 +2023-03-04 08:45:37,671 - mmseg - INFO - Iter [125100/160000] lr: 3.750e-05, eta: 2:06:42, time: 0.192, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1942, decode.acc_seg: 92.1241, loss: 0.1942 +2023-03-04 08:45:47,256 - mmseg - INFO - Iter [125150/160000] lr: 3.750e-05, eta: 2:06:30, time: 0.192, data_time: 0.008, memory: 52540, decode.loss_ce: 0.1892, decode.acc_seg: 92.2245, loss: 0.1892 +2023-03-04 08:45:57,030 - mmseg - INFO - Iter [125200/160000] lr: 3.750e-05, eta: 2:06:19, time: 0.195, data_time: 0.008, memory: 52540, decode.loss_ce: 0.1969, decode.acc_seg: 91.9346, loss: 0.1969 +2023-03-04 08:46:06,671 - mmseg - INFO - Iter [125250/160000] lr: 3.750e-05, eta: 2:06:08, time: 0.193, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1956, decode.acc_seg: 91.9401, loss: 0.1956 +2023-03-04 08:46:16,309 - mmseg - INFO - Iter [125300/160000] lr: 3.750e-05, eta: 2:05:57, time: 0.193, data_time: 0.008, memory: 52540, decode.loss_ce: 0.1902, decode.acc_seg: 92.1982, loss: 0.1902 +2023-03-04 08:46:25,968 - mmseg - INFO - Iter [125350/160000] lr: 3.750e-05, eta: 2:05:46, time: 0.193, data_time: 0.008, memory: 52540, decode.loss_ce: 0.1856, decode.acc_seg: 92.4161, loss: 0.1856 +2023-03-04 08:46:35,386 - mmseg - INFO - Iter [125400/160000] lr: 3.750e-05, eta: 2:05:34, time: 0.188, data_time: 0.008, memory: 52540, decode.loss_ce: 0.1829, decode.acc_seg: 92.5196, loss: 0.1829 +2023-03-04 08:46:45,241 - mmseg - INFO - Iter [125450/160000] lr: 3.750e-05, eta: 2:05:23, time: 0.197, data_time: 0.008, memory: 52540, decode.loss_ce: 0.1852, decode.acc_seg: 92.5342, loss: 0.1852 +2023-03-04 08:46:55,029 - mmseg - INFO - Iter [125500/160000] lr: 3.750e-05, eta: 2:05:12, time: 0.196, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1763, decode.acc_seg: 92.7575, loss: 0.1763 +2023-03-04 08:47:04,550 - mmseg - INFO - Iter [125550/160000] lr: 3.750e-05, eta: 2:05:01, time: 0.190, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1851, decode.acc_seg: 92.3688, loss: 0.1851 +2023-03-04 08:47:16,767 - mmseg - INFO - Iter [125600/160000] lr: 3.750e-05, eta: 2:04:50, time: 0.244, data_time: 0.056, memory: 52540, decode.loss_ce: 0.1842, decode.acc_seg: 92.5132, loss: 0.1842 +2023-03-04 08:47:26,187 - mmseg - INFO - Iter [125650/160000] lr: 3.750e-05, eta: 2:04:39, time: 0.188, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1837, decode.acc_seg: 92.5245, loss: 0.1837 +2023-03-04 08:47:35,903 - mmseg - INFO - Iter [125700/160000] lr: 3.750e-05, eta: 2:04:28, time: 0.194, data_time: 0.008, memory: 52540, decode.loss_ce: 0.1876, decode.acc_seg: 92.3883, loss: 0.1876 +2023-03-04 08:47:45,543 - mmseg - INFO - Iter [125750/160000] lr: 3.750e-05, eta: 2:04:16, time: 0.193, data_time: 0.008, memory: 52540, decode.loss_ce: 0.1833, decode.acc_seg: 92.5722, loss: 0.1833 +2023-03-04 08:47:55,002 - mmseg - INFO - Iter [125800/160000] lr: 3.750e-05, eta: 2:04:05, time: 0.189, data_time: 0.008, memory: 52540, decode.loss_ce: 0.1792, decode.acc_seg: 92.6945, loss: 0.1792 +2023-03-04 08:48:04,604 - mmseg - INFO - Iter [125850/160000] lr: 3.750e-05, eta: 2:03:54, time: 0.192, data_time: 0.008, memory: 52540, decode.loss_ce: 0.1905, decode.acc_seg: 92.1279, loss: 0.1905 +2023-03-04 08:48:14,350 - mmseg - INFO - Iter [125900/160000] lr: 3.750e-05, eta: 2:03:43, time: 0.195, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1961, decode.acc_seg: 91.9704, loss: 0.1961 +2023-03-04 08:48:23,919 - mmseg - INFO - Iter [125950/160000] lr: 3.750e-05, eta: 2:03:31, time: 0.191, data_time: 0.008, memory: 52540, decode.loss_ce: 0.1935, decode.acc_seg: 92.0728, loss: 0.1935 +2023-03-04 08:48:33,472 - mmseg - INFO - Exp name: ablation_segformer_mit_b2_segformer_head_unet_fc_small_multi_step_ade_pretrained_freeze_embed_160k_ade20k151_finetune_ema_t50.py +2023-03-04 08:48:33,473 - mmseg - INFO - Iter [126000/160000] lr: 3.750e-05, eta: 2:03:20, time: 0.191, data_time: 0.008, memory: 52540, decode.loss_ce: 0.1817, decode.acc_seg: 92.4020, loss: 0.1817 +2023-03-04 08:48:42,952 - mmseg - INFO - Iter [126050/160000] lr: 3.750e-05, eta: 2:03:09, time: 0.190, data_time: 0.008, memory: 52540, decode.loss_ce: 0.1866, decode.acc_seg: 92.4246, loss: 0.1866 +2023-03-04 08:48:52,393 - mmseg - INFO - Iter [126100/160000] lr: 3.750e-05, eta: 2:02:58, time: 0.189, data_time: 0.008, memory: 52540, decode.loss_ce: 0.1920, decode.acc_seg: 92.1103, loss: 0.1920 +2023-03-04 08:49:02,014 - mmseg - INFO - Iter [126150/160000] lr: 3.750e-05, eta: 2:02:46, time: 0.192, data_time: 0.008, memory: 52540, decode.loss_ce: 0.1898, decode.acc_seg: 92.1729, loss: 0.1898 +2023-03-04 08:49:11,766 - mmseg - INFO - Iter [126200/160000] lr: 3.750e-05, eta: 2:02:35, time: 0.195, data_time: 0.008, memory: 52540, decode.loss_ce: 0.1851, decode.acc_seg: 92.3643, loss: 0.1851 +2023-03-04 08:49:24,253 - mmseg - INFO - Iter [126250/160000] lr: 3.750e-05, eta: 2:02:25, time: 0.250, data_time: 0.054, memory: 52540, decode.loss_ce: 0.1967, decode.acc_seg: 92.0356, loss: 0.1967 +2023-03-04 08:49:33,728 - mmseg - INFO - Iter [126300/160000] lr: 3.750e-05, eta: 2:02:14, time: 0.189, data_time: 0.008, memory: 52540, decode.loss_ce: 0.1955, decode.acc_seg: 92.1209, loss: 0.1955 +2023-03-04 08:49:43,172 - mmseg - INFO - Iter [126350/160000] lr: 3.750e-05, eta: 2:02:02, time: 0.189, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1825, decode.acc_seg: 92.3942, loss: 0.1825 +2023-03-04 08:49:52,939 - mmseg - INFO - Iter [126400/160000] lr: 3.750e-05, eta: 2:01:51, time: 0.195, data_time: 0.008, memory: 52540, decode.loss_ce: 0.1822, decode.acc_seg: 92.5603, loss: 0.1822 +2023-03-04 08:50:02,559 - mmseg - INFO - Iter [126450/160000] lr: 3.750e-05, eta: 2:01:40, time: 0.192, data_time: 0.008, memory: 52540, decode.loss_ce: 0.1943, decode.acc_seg: 92.1437, loss: 0.1943 +2023-03-04 08:50:12,068 - mmseg - INFO - Iter [126500/160000] lr: 3.750e-05, eta: 2:01:29, time: 0.190, data_time: 0.008, memory: 52540, decode.loss_ce: 0.1838, decode.acc_seg: 92.5094, loss: 0.1838 +2023-03-04 08:50:21,558 - mmseg - INFO - Iter [126550/160000] lr: 3.750e-05, eta: 2:01:17, time: 0.190, data_time: 0.008, memory: 52540, decode.loss_ce: 0.1908, decode.acc_seg: 92.1075, loss: 0.1908 +2023-03-04 08:50:31,213 - mmseg - INFO - Iter [126600/160000] lr: 3.750e-05, eta: 2:01:06, time: 0.193, data_time: 0.008, memory: 52540, decode.loss_ce: 0.1829, decode.acc_seg: 92.4492, loss: 0.1829 +2023-03-04 08:50:41,143 - mmseg - INFO - Iter [126650/160000] lr: 3.750e-05, eta: 2:00:55, time: 0.199, data_time: 0.008, memory: 52540, decode.loss_ce: 0.1846, decode.acc_seg: 92.3349, loss: 0.1846 +2023-03-04 08:50:50,853 - mmseg - INFO - Iter [126700/160000] lr: 3.750e-05, eta: 2:00:44, time: 0.194, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1986, decode.acc_seg: 92.0453, loss: 0.1986 +2023-03-04 08:51:00,590 - mmseg - INFO - Iter [126750/160000] lr: 3.750e-05, eta: 2:00:33, time: 0.195, data_time: 0.008, memory: 52540, decode.loss_ce: 0.1723, decode.acc_seg: 92.8478, loss: 0.1723 +2023-03-04 08:51:10,446 - mmseg - INFO - Iter [126800/160000] lr: 3.750e-05, eta: 2:00:22, time: 0.197, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1871, decode.acc_seg: 92.3632, loss: 0.1871 +2023-03-04 08:51:22,653 - mmseg - INFO - Iter [126850/160000] lr: 3.750e-05, eta: 2:00:11, time: 0.244, data_time: 0.055, memory: 52540, decode.loss_ce: 0.1836, decode.acc_seg: 92.3348, loss: 0.1836 +2023-03-04 08:51:32,278 - mmseg - INFO - Iter [126900/160000] lr: 3.750e-05, eta: 2:00:00, time: 0.192, data_time: 0.008, memory: 52540, decode.loss_ce: 0.1823, decode.acc_seg: 92.3878, loss: 0.1823 +2023-03-04 08:51:42,532 - mmseg - INFO - Iter [126950/160000] lr: 3.750e-05, eta: 1:59:49, time: 0.205, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1901, decode.acc_seg: 92.2995, loss: 0.1901 +2023-03-04 08:51:51,983 - mmseg - INFO - Exp name: ablation_segformer_mit_b2_segformer_head_unet_fc_small_multi_step_ade_pretrained_freeze_embed_160k_ade20k151_finetune_ema_t50.py +2023-03-04 08:51:51,984 - mmseg - INFO - Iter [127000/160000] lr: 3.750e-05, eta: 1:59:38, time: 0.189, data_time: 0.008, memory: 52540, decode.loss_ce: 0.1865, decode.acc_seg: 92.2635, loss: 0.1865 +2023-03-04 08:52:01,668 - mmseg - INFO - Iter [127050/160000] lr: 3.750e-05, eta: 1:59:26, time: 0.194, data_time: 0.008, memory: 52540, decode.loss_ce: 0.1847, decode.acc_seg: 92.3919, loss: 0.1847 +2023-03-04 08:52:11,275 - mmseg - INFO - Iter [127100/160000] lr: 3.750e-05, eta: 1:59:15, time: 0.192, data_time: 0.008, memory: 52540, decode.loss_ce: 0.1853, decode.acc_seg: 92.3672, loss: 0.1853 +2023-03-04 08:52:20,685 - mmseg - INFO - Iter [127150/160000] lr: 3.750e-05, eta: 1:59:04, time: 0.188, data_time: 0.008, memory: 52540, decode.loss_ce: 0.1951, decode.acc_seg: 92.1337, loss: 0.1951 +2023-03-04 08:52:30,455 - mmseg - INFO - Iter [127200/160000] lr: 3.750e-05, eta: 1:58:53, time: 0.195, data_time: 0.008, memory: 52540, decode.loss_ce: 0.1854, decode.acc_seg: 92.4994, loss: 0.1854 +2023-03-04 08:52:40,324 - mmseg - INFO - Iter [127250/160000] lr: 3.750e-05, eta: 1:58:42, time: 0.197, data_time: 0.008, memory: 52540, decode.loss_ce: 0.1775, decode.acc_seg: 92.5445, loss: 0.1775 +2023-03-04 08:52:49,929 - mmseg - INFO - Iter [127300/160000] lr: 3.750e-05, eta: 1:58:30, time: 0.192, data_time: 0.008, memory: 52540, decode.loss_ce: 0.1833, decode.acc_seg: 92.4677, loss: 0.1833 +2023-03-04 08:52:59,465 - mmseg - INFO - Iter [127350/160000] lr: 3.750e-05, eta: 1:58:19, time: 0.191, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1806, decode.acc_seg: 92.5651, loss: 0.1806 +2023-03-04 08:53:09,117 - mmseg - INFO - Iter [127400/160000] lr: 3.750e-05, eta: 1:58:08, time: 0.193, data_time: 0.008, memory: 52540, decode.loss_ce: 0.1939, decode.acc_seg: 91.9105, loss: 0.1939 +2023-03-04 08:53:18,702 - mmseg - INFO - Iter [127450/160000] lr: 3.750e-05, eta: 1:57:57, time: 0.192, data_time: 0.008, memory: 52540, decode.loss_ce: 0.1787, decode.acc_seg: 92.6164, loss: 0.1787 +2023-03-04 08:53:31,107 - mmseg - INFO - Iter [127500/160000] lr: 3.750e-05, eta: 1:57:46, time: 0.248, data_time: 0.059, memory: 52540, decode.loss_ce: 0.1946, decode.acc_seg: 92.0913, loss: 0.1946 +2023-03-04 08:53:40,783 - mmseg - INFO - Iter [127550/160000] lr: 3.750e-05, eta: 1:57:35, time: 0.194, data_time: 0.008, memory: 52540, decode.loss_ce: 0.1840, decode.acc_seg: 92.5084, loss: 0.1840 +2023-03-04 08:53:50,398 - mmseg - INFO - Iter [127600/160000] lr: 3.750e-05, eta: 1:57:24, time: 0.192, data_time: 0.008, memory: 52540, decode.loss_ce: 0.1911, decode.acc_seg: 92.2678, loss: 0.1911 +2023-03-04 08:53:59,848 - mmseg - INFO - Iter [127650/160000] lr: 3.750e-05, eta: 1:57:13, time: 0.189, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1807, decode.acc_seg: 92.4573, loss: 0.1807 +2023-03-04 08:54:09,574 - mmseg - INFO - Iter [127700/160000] lr: 3.750e-05, eta: 1:57:02, time: 0.195, data_time: 0.008, memory: 52540, decode.loss_ce: 0.1926, decode.acc_seg: 92.0108, loss: 0.1926 +2023-03-04 08:54:19,842 - mmseg - INFO - Iter [127750/160000] lr: 3.750e-05, eta: 1:56:51, time: 0.205, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1884, decode.acc_seg: 92.2235, loss: 0.1884 +2023-03-04 08:54:29,269 - mmseg - INFO - Iter [127800/160000] lr: 3.750e-05, eta: 1:56:39, time: 0.189, data_time: 0.008, memory: 52540, decode.loss_ce: 0.1871, decode.acc_seg: 92.3562, loss: 0.1871 +2023-03-04 08:54:39,255 - mmseg - INFO - Iter [127850/160000] lr: 3.750e-05, eta: 1:56:28, time: 0.199, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1827, decode.acc_seg: 92.3575, loss: 0.1827 +2023-03-04 08:54:49,060 - mmseg - INFO - Iter [127900/160000] lr: 3.750e-05, eta: 1:56:17, time: 0.196, data_time: 0.008, memory: 52540, decode.loss_ce: 0.1915, decode.acc_seg: 92.1574, loss: 0.1915 +2023-03-04 08:54:58,504 - mmseg - INFO - Iter [127950/160000] lr: 3.750e-05, eta: 1:56:06, time: 0.189, data_time: 0.008, memory: 52540, decode.loss_ce: 0.1797, decode.acc_seg: 92.6474, loss: 0.1797 +2023-03-04 08:55:07,988 - mmseg - INFO - Swap parameters (after train) after iter [128000] +2023-03-04 08:55:08,001 - mmseg - INFO - Saving checkpoint at 128000 iterations +2023-03-04 08:55:08,988 - mmseg - INFO - Exp name: ablation_segformer_mit_b2_segformer_head_unet_fc_small_multi_step_ade_pretrained_freeze_embed_160k_ade20k151_finetune_ema_t50.py +2023-03-04 08:55:08,988 - mmseg - INFO - Iter [128000/160000] lr: 3.750e-05, eta: 1:55:55, time: 0.210, data_time: 0.008, memory: 52540, decode.loss_ce: 0.1840, decode.acc_seg: 92.3878, loss: 0.1840 +2023-03-04 09:01:03,993 - mmseg - INFO - per class results: +2023-03-04 09:01:04,002 - mmseg - INFO - ++---------------------+-------------------------------------------------------------------+ +| Class | IoU 0,5,10,15,20,25,30,35,40,45,49 | ++---------------------+-------------------------------------------------------------------+ +| background | nan,nan,nan,nan,nan,nan,nan,nan,nan,nan,nan | +| wall | 77.5,77.51,77.55,77.55,77.57,77.58,77.62,77.6,77.63,77.61,77.62 | +| building | 81.63,81.64,81.65,81.65,81.66,81.68,81.67,81.69,81.68,81.68,81.68 | +| sky | 94.43,94.43,94.44,94.45,94.45,94.46,94.46,94.47,94.46,94.47,94.46 | +| floor | 81.68,81.68,81.69,81.69,81.68,81.69,81.7,81.7,81.71,81.72,81.72 | +| tree | 74.48,74.5,74.52,74.53,74.55,74.55,74.57,74.55,74.56,74.54,74.53 | +| ceiling | 85.33,85.35,85.4,85.39,85.43,85.45,85.45,85.48,85.47,85.49,85.48 | +| road | 82.3,82.35,82.36,82.41,82.43,82.45,82.47,82.46,82.48,82.44,82.43 | +| bed | 87.83,87.85,87.87,87.81,87.85,87.75,87.79,87.71,87.76,87.73,87.72 | +| windowpane | 60.68,60.71,60.72,60.76,60.77,60.81,60.81,60.87,60.86,60.88,60.85 | +| grass | 67.3,67.37,67.42,67.44,67.53,67.57,67.57,67.6,67.61,67.62,67.61 | +| cabinet | 60.93,60.99,61.15,61.14,61.17,61.19,61.22,61.27,61.27,61.27,61.27 | +| sidewalk | 64.31,64.42,64.44,64.53,64.55,64.61,64.67,64.64,64.68,64.56,64.54 | +| person | 79.91,79.92,79.93,79.92,79.96,79.95,79.96,79.95,79.96,79.95,79.95 | +| earth | 36.3,36.36,36.45,36.45,36.52,36.45,36.53,36.35,36.52,36.32,36.25 | +| door | 46.18,46.24,46.27,46.32,46.33,46.4,46.47,46.49,46.53,46.5,46.51 | +| table | 61.54,61.64,61.67,61.74,61.74,61.77,61.76,61.8,61.79,61.75,61.75 | +| mountain | 57.41,57.52,57.61,57.71,57.75,57.78,57.91,57.87,57.97,57.91,57.93 | +| plant | 49.82,49.79,49.78,49.82,49.84,49.73,49.8,49.79,49.79,49.73,49.71 | +| curtain | 74.72,74.83,74.83,74.86,74.9,74.95,74.96,74.97,74.99,75.0,75.03 | +| chair | 57.21,57.2,57.29,57.34,57.31,57.34,57.37,57.36,57.38,57.38,57.37 | +| car | 81.92,81.96,81.96,81.99,82.0,82.04,82.06,82.11,82.12,82.12,82.13 | +| water | 56.63,56.69,56.78,56.79,56.89,56.98,57.02,57.1,57.17,57.21,57.24 | +| painting | 70.14,70.06,70.06,69.99,69.99,69.99,69.92,69.93,69.92,69.9,69.88 | +| sofa | 65.24,65.4,65.51,65.68,65.7,65.85,65.83,65.85,65.46,65.5,65.47 | +| shelf | 44.37,44.38,44.49,44.41,44.49,44.49,44.43,44.47,44.5,44.44,44.4 | +| house | 41.54,41.71,41.84,41.83,41.94,42.17,42.13,42.18,42.1,42.18,42.15 | +| sea | 59.88,59.92,60.04,60.03,60.14,60.24,60.31,60.41,60.49,60.57,60.63 | +| mirror | 65.93,66.08,66.21,66.44,66.63,66.79,66.95,67.08,67.03,67.25,67.45 | +| rug | 64.39,64.4,64.48,64.63,64.64,64.79,64.8,64.82,64.99,64.97,65.02 | +| field | 30.87,30.87,30.93,30.93,30.95,30.97,30.95,30.95,30.97,30.97,31.03 | +| armchair | 38.33,38.48,38.71,38.75,38.81,39.0,39.0,39.15,38.91,39.0,39.04 | +| seat | 66.21,66.21,66.21,66.2,66.32,66.18,66.39,66.23,66.42,66.28,66.31 | +| fence | 40.12,40.06,40.07,40.05,39.94,39.69,39.97,39.9,40.17,40.2,40.3 | +| desk | 47.04,46.99,47.09,47.06,47.04,46.97,47.06,46.98,47.11,47.07,46.98 | +| rock | 37.35,37.3,37.18,37.19,37.1,37.09,37.1,37.08,37.01,36.95,36.92 | +| wardrobe | 58.22,58.27,58.52,58.47,58.51,58.52,58.45,58.53,58.47,58.49,58.49 | +| lamp | 62.94,63.05,63.1,63.07,63.13,63.28,63.24,63.14,63.21,63.15,63.13 | +| bathtub | 75.37,75.35,75.25,75.26,75.01,75.16,75.05,75.09,75.11,75.13,75.1 | +| railing | 33.6,33.57,33.5,33.44,33.43,33.49,33.46,33.47,33.42,33.4,33.37 | +| cushion | 57.38,57.27,57.22,57.3,57.21,57.05,56.8,56.9,56.54,56.64,56.52 | +| base | 22.35,22.41,22.3,22.26,22.35,22.31,22.47,22.42,22.61,22.5,22.56 | +| box | 23.02,23.15,23.08,23.24,23.19,23.22,23.27,23.26,23.35,23.35,23.34 | +| column | 45.97,46.07,46.17,46.24,46.39,46.3,46.39,46.25,46.5,46.34,46.34 | +| signboard | 37.95,38.01,38.03,38.01,37.93,38.1,38.05,38.07,38.02,38.08,38.08 | +| chest of drawers | 37.19,37.22,37.25,37.3,37.37,37.35,37.5,37.44,37.63,37.5,37.53 | +| counter | 31.15,31.37,31.7,31.84,32.03,32.19,32.35,32.53,32.7,32.71,32.71 | +| sand | 41.71,41.82,41.94,42.01,42.22,42.29,42.36,42.43,42.45,42.49,42.5 | +| sink | 68.37,68.33,68.27,68.26,68.24,68.2,68.22,68.19,68.13,68.17,68.18 | +| skyscraper | 48.09,47.92,47.95,47.75,47.79,47.81,47.85,47.8,48.01,47.84,47.91 | +| fireplace | 76.28,76.35,76.44,76.51,76.68,76.49,76.72,76.74,76.86,76.69,76.67 | +| refrigerator | 76.31,76.32,76.68,76.84,76.8,76.82,77.32,76.8,77.13,76.93,76.92 | +| grandstand | 54.62,54.67,55.07,55.11,55.17,55.39,55.46,55.26,55.48,55.46,55.52 | +| path | 21.81,21.83,21.86,21.89,21.92,22.01,22.0,22.08,22.15,22.14,22.11 | +| stairs | 32.92,32.89,33.0,33.02,33.07,33.07,32.98,32.91,32.87,32.93,32.9 | +| runway | 67.28,67.33,67.35,67.4,67.47,67.44,67.38,67.4,67.31,67.36,67.32 | +| case | 45.62,46.01,46.28,46.3,46.37,46.65,46.49,46.68,46.77,46.8,46.87 | +| pool table | 92.04,92.07,92.09,92.13,92.2,92.17,92.23,92.26,92.27,92.31,92.3 | +| pillow | 61.09,61.35,60.96,61.08,61.03,61.31,61.03,60.81,60.84,60.73,60.68 | +| screen door | 69.39,69.63,69.77,69.81,69.66,69.67,69.52,69.55,69.53,69.65,69.76 | +| stairway | 23.99,24.05,24.16,24.29,24.29,24.45,24.45,24.56,24.54,24.73,24.77 | +| river | 11.72,11.69,11.68,11.68,11.65,11.65,11.64,11.62,11.64,11.62,11.63 | +| bridge | 28.85,28.87,28.81,29.06,28.75,28.97,29.02,29.31,29.42,29.4,29.5 | +| bookcase | 45.71,45.62,45.52,45.73,45.83,45.98,45.92,46.07,45.94,46.14,46.08 | +| blind | 38.85,38.88,39.06,39.02,39.1,39.21,39.28,39.35,39.43,39.45,39.55 | +| coffee table | 53.26,53.39,53.1,53.01,53.11,52.81,52.67,52.76,52.71,52.6,52.56 | +| toilet | 83.79,83.79,83.81,83.86,83.84,83.87,83.86,83.95,83.96,84.0,83.99 | +| flower | 38.68,38.66,38.77,38.8,38.83,38.77,38.86,38.85,39.01,38.91,38.96 | +| book | 44.75,44.81,44.78,44.77,44.74,44.69,44.7,44.7,44.5,44.48,44.47 | +| hill | 16.89,16.99,17.16,16.88,17.1,16.87,16.99,16.68,16.95,16.84,16.82 | +| bench | 43.47,43.3,43.44,43.34,43.39,43.17,43.23,42.91,42.9,42.61,42.57 | +| countertop | 57.02,57.06,57.08,57.26,57.23,57.08,57.04,57.07,57.12,57.06,57.04 | +| stove | 72.24,72.31,72.27,72.24,72.33,72.33,72.36,72.38,72.26,72.31,72.29 | +| palm | 48.56,48.56,48.58,48.63,48.54,48.56,48.65,48.57,48.54,48.53,48.54 | +| kitchen island | 47.52,47.34,47.74,47.62,47.67,47.6,47.64,47.61,47.52,47.39,47.3 | +| computer | 60.81,60.87,60.8,60.82,60.84,60.87,60.9,60.8,60.79,60.78,60.74 | +| swivel chair | 44.97,45.0,44.94,45.11,45.03,45.01,45.04,45.07,45.13,45.11,45.14 | +| boat | 72.33,72.21,72.48,72.77,73.02,73.06,73.27,73.2,73.12,73.25,73.3 | +| bar | 24.05,24.05,24.08,24.14,24.13,24.16,24.1,24.22,24.06,24.22,24.23 | +| arcade machine | 71.81,71.99,72.67,73.15,73.73,73.89,74.07,74.37,74.5,74.87,74.99 | +| hovel | 31.69,31.31,31.18,31.03,30.64,30.86,30.35,30.38,30.24,30.38,30.29 | +| bus | 79.01,79.11,79.08,79.04,79.06,79.04,79.02,79.06,79.0,78.96,78.92 | +| towel | 62.23,62.32,62.45,62.44,62.51,62.44,62.55,62.59,62.61,62.62,62.63 | +| light | 55.8,55.89,56.06,56.1,56.21,56.3,56.26,56.35,56.38,56.38,56.42 | +| truck | 18.82,18.82,18.71,18.7,18.45,18.42,18.39,18.28,18.01,18.14,18.11 | +| tower | 7.0,6.97,7.03,7.0,7.0,7.02,7.17,7.0,7.24,7.0,7.02 | +| chandelier | 64.61,64.69,64.69,64.73,64.78,64.82,64.7,64.82,64.68,64.78,64.77 | +| awning | 24.81,24.93,25.07,25.08,25.14,25.31,25.28,25.22,25.28,25.14,25.19 | +| streetlight | 27.91,27.92,27.95,27.97,28.03,28.06,28.09,28.12,28.08,28.14,28.18 | +| booth | 47.62,47.52,48.13,48.28,48.74,48.87,49.15,49.18,49.39,49.45,49.56 | +| television receiver | 64.85,64.89,64.88,64.95,65.01,65.02,65.11,65.14,65.3,65.37,65.38 | +| airplane | 60.75,60.81,60.57,60.64,60.73,60.61,60.67,60.55,60.58,60.49,60.46 | +| dirt track | 20.69,20.87,21.1,21.31,21.32,21.41,21.49,21.59,21.46,21.67,21.56 | +| apparel | 34.38,34.66,35.02,35.13,35.19,35.65,35.53,35.73,35.56,35.79,35.83 | +| pole | 19.43,19.2,19.38,19.25,19.13,18.95,19.0,18.87,18.78,18.77,18.88 | +| land | 3.63,3.64,3.65,3.64,3.65,3.65,3.64,3.61,3.63,3.6,3.59 | +| bannister | 13.34,13.39,13.36,13.41,13.31,13.39,13.35,13.41,13.44,13.51,13.5 | +| escalator | 24.36,24.5,24.52,24.33,24.5,24.45,24.52,24.51,24.58,24.55,24.52 | +| ottoman | 42.13,41.95,41.76,41.36,41.64,40.78,40.88,40.33,40.9,40.34,40.37 | +| bottle | 35.6,35.51,35.59,35.44,35.47,35.62,35.56,35.62,35.37,35.55,35.61 | +| buffet | 43.54,45.03,45.66,45.99,46.97,46.76,47.2,47.03,47.36,47.17,47.25 | +| poster | 22.41,22.46,22.48,22.66,22.46,22.58,22.68,22.73,22.49,22.49,22.47 | +| stage | 13.13,13.06,13.18,13.03,12.86,13.11,13.1,13.01,13.19,13.12,13.15 | +| van | 37.62,37.59,37.58,37.7,37.63,37.67,37.63,37.6,37.89,37.61,37.63 | +| ship | 81.85,81.89,82.1,82.35,82.46,82.49,82.67,82.76,82.96,83.1,83.16 | +| fountain | 16.98,17.15,17.22,17.31,17.25,17.36,17.37,17.44,17.54,17.64,17.53 | +| conveyer belt | 85.93,85.61,85.66,85.54,85.56,85.5,85.55,85.31,85.46,85.1,85.05 | +| canopy | 23.15,23.47,23.46,23.64,23.52,23.82,23.88,24.15,24.05,24.29,24.43 | +| washer | 74.27,74.3,74.34,74.41,74.36,74.49,74.82,75.11,74.98,75.25,75.37 | +| plaything | 20.71,20.78,20.8,20.77,20.83,20.83,20.7,20.74,20.79,20.77,20.77 | +| swimming pool | 74.12,73.98,73.92,74.02,73.96,74.01,74.13,74.02,74.12,74.19,74.19 | +| stool | 44.09,44.42,44.42,44.44,44.65,44.45,44.49,44.52,44.38,44.46,44.38 | +| barrel | 44.79,44.56,43.84,43.63,42.87,41.67,41.36,40.97,41.21,40.51,40.21 | +| basket | 24.68,24.52,24.5,24.53,24.42,24.59,24.62,24.68,24.62,24.76,24.73 | +| waterfall | 46.92,47.0,46.94,46.82,46.92,46.91,46.91,46.95,46.87,46.84,46.83 | +| tent | 94.39,94.37,94.35,94.47,94.49,94.53,94.65,94.83,94.88,95.03,95.05 | +| bag | 16.65,16.71,16.82,16.79,16.69,16.86,16.97,16.9,16.93,16.84,16.86 | +| minibike | 60.37,60.66,60.72,60.75,60.69,61.03,60.9,60.98,61.01,61.06,61.03 | +| cradle | 84.55,84.84,84.95,85.24,85.38,85.65,85.92,86.12,86.28,86.43,86.49 | +| oven | 46.97,47.06,47.28,47.51,47.72,47.75,48.09,48.21,48.37,48.67,48.86 | +| ball | 44.75,45.03,45.34,45.39,45.3,45.35,45.42,45.66,45.97,45.91,45.91 | +| food | 55.36,55.63,55.93,56.15,56.14,56.59,56.51,56.74,56.61,56.89,56.86 | +| step | 6.14,6.15,6.15,6.22,6.24,6.29,6.18,6.28,6.2,6.31,6.26 | +| tank | 48.94,48.98,48.91,48.94,48.87,48.7,48.58,48.58,48.49,48.45,48.39 | +| trade name | 28.18,28.04,28.06,28.0,27.79,28.0,27.83,27.7,27.77,27.65,27.53 | +| microwave | 72.82,72.9,73.2,73.63,73.72,73.74,73.9,74.09,74.13,74.49,74.62 | +| pot | 31.07,31.03,31.14,31.36,31.34,31.52,31.61,31.79,32.02,32.03,32.04 | +| animal | 55.49,55.49,55.49,55.46,55.42,55.45,55.47,55.37,55.34,55.33,55.27 | +| bicycle | 55.05,55.21,55.19,55.38,55.32,55.33,55.46,55.49,55.55,55.59,55.63 | +| lake | 57.78,57.88,58.0,58.06,58.22,58.26,58.35,58.37,58.5,58.52,58.57 | +| dishwasher | 66.19,65.98,66.22,66.29,66.06,65.84,65.97,65.76,65.98,65.85,65.9 | +| screen | 67.99,67.44,67.26,67.09,66.98,67.0,66.65,66.93,66.41,66.78,66.72 | +| blanket | 17.05,17.21,17.4,17.62,17.71,17.87,18.11,18.23,18.38,18.37,18.45 | +| sculpture | 59.13,59.02,58.92,58.86,58.56,58.62,58.46,58.47,58.26,58.2,58.26 | +| hood | 60.05,60.35,60.17,60.46,59.95,60.29,59.85,58.82,57.28,56.47,57.19 | +| sconce | 43.19,43.28,43.68,43.61,43.77,43.92,43.8,43.77,44.01,44.0,44.06 | +| vase | 37.93,38.09,38.01,38.02,38.0,38.19,38.25,38.34,38.16,38.4,38.38 | +| traffic light | 33.68,33.89,33.78,34.1,34.09,34.09,34.14,34.31,34.29,34.24,34.28 | +| tray | 8.72,8.75,9.02,9.01,9.16,9.33,9.11,9.15,9.05,9.31,9.26 | +| ashcan | 42.08,41.94,41.93,41.87,41.93,42.01,41.8,41.96,41.88,41.9,41.89 | +| fan | 58.02,58.01,57.86,57.68,57.76,57.6,57.67,57.46,57.48,57.49,57.42 | +| pier | 54.51,55.16,55.57,55.99,56.97,56.71,56.98,57.07,56.3,56.27,56.33 | +| crt screen | 10.75,10.79,10.87,10.88,10.74,10.8,10.7,10.76,10.7,10.71,10.69 | +| plate | 53.74,53.8,53.99,53.96,54.04,54.12,54.05,54.03,54.07,54.06,54.03 | +| monitor | 18.28,17.87,17.66,17.45,17.28,17.18,16.94,16.7,16.55,16.35,16.15 | +| bulletin board | 36.14,36.26,36.11,35.87,35.79,35.72,35.81,35.86,35.89,35.79,35.82 | +| shower | 1.75,1.75,1.62,1.7,1.6,1.66,1.62,1.67,1.64,1.74,1.71 | +| radiator | 61.32,62.42,63.11,63.8,64.43,64.86,65.28,65.61,65.62,65.72,65.92 | +| glass | 13.87,13.88,13.89,13.75,13.65,13.66,13.65,13.69,13.64,13.59,13.54 | +| clock | 35.78,35.89,36.06,35.85,36.05,35.92,35.74,35.69,35.45,35.36,35.13 | +| flag | 32.31,32.26,32.26,32.4,32.37,32.4,32.43,32.56,32.52,32.57,32.6 | ++---------------------+-------------------------------------------------------------------+ +2023-03-04 09:01:04,002 - mmseg - INFO - Summary: +2023-03-04 09:01:04,002 - mmseg - INFO - ++-------------------------------------------------------------------+ +| mIoU 0,5,10,15,20,25,30,35,40,45,49 | ++-------------------------------------------------------------------+ +| 48.83,48.89,48.95,48.99,49.02,49.04,49.06,49.07,49.07,49.07,49.08 | ++-------------------------------------------------------------------+ +2023-03-04 09:01:04,002 - mmseg - INFO - Exp name: ablation_segformer_mit_b2_segformer_head_unet_fc_small_multi_step_ade_pretrained_freeze_embed_160k_ade20k151_finetune_ema_t50.py +2023-03-04 09:01:04,002 - mmseg - INFO - Iter(val) [250] mIoU: [0.4883, 0.4889, 0.4895, 0.4899, 0.4902, 0.4904, 0.4906, 0.4907, 0.4907, 0.4907, 0.4908], copy_paste: 48.83,48.89,48.95,48.99,49.02,49.04,49.06,49.07,49.07,49.07,49.08 +2023-03-04 09:01:04,010 - mmseg - INFO - Swap parameters (before train) before iter [128001] +2023-03-04 09:01:13,770 - mmseg - INFO - Iter [128050/160000] lr: 3.750e-05, eta: 1:57:12, time: 7.296, data_time: 7.108, memory: 52540, decode.loss_ce: 0.1911, decode.acc_seg: 92.3991, loss: 0.1911 +2023-03-04 09:01:26,138 - mmseg - INFO - Iter [128100/160000] lr: 3.750e-05, eta: 1:57:02, time: 0.247, data_time: 0.053, memory: 52540, decode.loss_ce: 0.1817, decode.acc_seg: 92.4873, loss: 0.1817 +2023-03-04 09:01:35,794 - mmseg - INFO - Iter [128150/160000] lr: 3.750e-05, eta: 1:56:50, time: 0.193, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1904, decode.acc_seg: 92.2044, loss: 0.1904 +2023-03-04 09:01:45,242 - mmseg - INFO - Iter [128200/160000] lr: 3.750e-05, eta: 1:56:39, time: 0.189, data_time: 0.008, memory: 52540, decode.loss_ce: 0.1822, decode.acc_seg: 92.5822, loss: 0.1822 +2023-03-04 09:01:54,715 - mmseg - INFO - Iter [128250/160000] lr: 3.750e-05, eta: 1:56:28, time: 0.189, data_time: 0.008, memory: 52540, decode.loss_ce: 0.1785, decode.acc_seg: 92.6625, loss: 0.1785 +2023-03-04 09:02:04,208 - mmseg - INFO - Iter [128300/160000] lr: 3.750e-05, eta: 1:56:16, time: 0.190, data_time: 0.008, memory: 52540, decode.loss_ce: 0.1845, decode.acc_seg: 92.4591, loss: 0.1845 +2023-03-04 09:02:13,785 - mmseg - INFO - Iter [128350/160000] lr: 3.750e-05, eta: 1:56:05, time: 0.192, data_time: 0.008, memory: 52540, decode.loss_ce: 0.1847, decode.acc_seg: 92.3794, loss: 0.1847 +2023-03-04 09:02:23,618 - mmseg - INFO - Iter [128400/160000] lr: 3.750e-05, eta: 1:55:53, time: 0.197, data_time: 0.008, memory: 52540, decode.loss_ce: 0.1839, decode.acc_seg: 92.3925, loss: 0.1839 +2023-03-04 09:02:33,238 - mmseg - INFO - Iter [128450/160000] lr: 3.750e-05, eta: 1:55:42, time: 0.192, data_time: 0.008, memory: 52540, decode.loss_ce: 0.1845, decode.acc_seg: 92.3112, loss: 0.1845 +2023-03-04 09:02:42,646 - mmseg - INFO - Iter [128500/160000] lr: 3.750e-05, eta: 1:55:31, time: 0.188, data_time: 0.008, memory: 52540, decode.loss_ce: 0.1916, decode.acc_seg: 92.0795, loss: 0.1916 +2023-03-04 09:02:52,423 - mmseg - INFO - Iter [128550/160000] lr: 3.750e-05, eta: 1:55:19, time: 0.196, data_time: 0.008, memory: 52540, decode.loss_ce: 0.1850, decode.acc_seg: 92.5705, loss: 0.1850 +2023-03-04 09:03:02,097 - mmseg - INFO - Iter [128600/160000] lr: 3.750e-05, eta: 1:55:08, time: 0.193, data_time: 0.008, memory: 52540, decode.loss_ce: 0.1878, decode.acc_seg: 92.2061, loss: 0.1878 +2023-03-04 09:03:11,907 - mmseg - INFO - Iter [128650/160000] lr: 3.750e-05, eta: 1:54:57, time: 0.196, data_time: 0.008, memory: 52540, decode.loss_ce: 0.1818, decode.acc_seg: 92.5210, loss: 0.1818 +2023-03-04 09:03:21,424 - mmseg - INFO - Iter [128700/160000] lr: 3.750e-05, eta: 1:54:45, time: 0.190, data_time: 0.008, memory: 52540, decode.loss_ce: 0.1847, decode.acc_seg: 92.3097, loss: 0.1847 +2023-03-04 09:03:33,602 - mmseg - INFO - Iter [128750/160000] lr: 3.750e-05, eta: 1:54:35, time: 0.243, data_time: 0.053, memory: 52540, decode.loss_ce: 0.1809, decode.acc_seg: 92.5386, loss: 0.1809 +2023-03-04 09:03:43,549 - mmseg - INFO - Iter [128800/160000] lr: 3.750e-05, eta: 1:54:23, time: 0.199, data_time: 0.008, memory: 52540, decode.loss_ce: 0.1857, decode.acc_seg: 92.3771, loss: 0.1857 +2023-03-04 09:03:53,289 - mmseg - INFO - Iter [128850/160000] lr: 3.750e-05, eta: 1:54:12, time: 0.195, data_time: 0.008, memory: 52540, decode.loss_ce: 0.1873, decode.acc_seg: 92.3361, loss: 0.1873 +2023-03-04 09:04:02,835 - mmseg - INFO - Iter [128900/160000] lr: 3.750e-05, eta: 1:54:01, time: 0.191, data_time: 0.008, memory: 52540, decode.loss_ce: 0.1879, decode.acc_seg: 92.1698, loss: 0.1879 +2023-03-04 09:04:12,499 - mmseg - INFO - Iter [128950/160000] lr: 3.750e-05, eta: 1:53:50, time: 0.193, data_time: 0.008, memory: 52540, decode.loss_ce: 0.1843, decode.acc_seg: 92.4807, loss: 0.1843 +2023-03-04 09:04:22,121 - mmseg - INFO - Exp name: ablation_segformer_mit_b2_segformer_head_unet_fc_small_multi_step_ade_pretrained_freeze_embed_160k_ade20k151_finetune_ema_t50.py +2023-03-04 09:04:22,121 - mmseg - INFO - Iter [129000/160000] lr: 3.750e-05, eta: 1:53:38, time: 0.192, data_time: 0.008, memory: 52540, decode.loss_ce: 0.1876, decode.acc_seg: 92.4162, loss: 0.1876 +2023-03-04 09:04:31,810 - mmseg - INFO - Iter [129050/160000] lr: 3.750e-05, eta: 1:53:27, time: 0.194, data_time: 0.008, memory: 52540, decode.loss_ce: 0.1840, decode.acc_seg: 92.4398, loss: 0.1840 +2023-03-04 09:04:41,504 - mmseg - INFO - Iter [129100/160000] lr: 3.750e-05, eta: 1:53:16, time: 0.194, data_time: 0.008, memory: 52540, decode.loss_ce: 0.1865, decode.acc_seg: 92.2888, loss: 0.1865 +2023-03-04 09:04:51,076 - mmseg - INFO - Iter [129150/160000] lr: 3.750e-05, eta: 1:53:04, time: 0.191, data_time: 0.008, memory: 52540, decode.loss_ce: 0.1809, decode.acc_seg: 92.5569, loss: 0.1809 +2023-03-04 09:05:00,903 - mmseg - INFO - Iter [129200/160000] lr: 3.750e-05, eta: 1:52:53, time: 0.197, data_time: 0.008, memory: 52540, decode.loss_ce: 0.1900, decode.acc_seg: 92.1972, loss: 0.1900 +2023-03-04 09:05:10,445 - mmseg - INFO - Iter [129250/160000] lr: 3.750e-05, eta: 1:52:42, time: 0.191, data_time: 0.008, memory: 52540, decode.loss_ce: 0.1845, decode.acc_seg: 92.3217, loss: 0.1845 +2023-03-04 09:05:20,031 - mmseg - INFO - Iter [129300/160000] lr: 3.750e-05, eta: 1:52:30, time: 0.192, data_time: 0.008, memory: 52540, decode.loss_ce: 0.1839, decode.acc_seg: 92.5241, loss: 0.1839 +2023-03-04 09:05:29,522 - mmseg - INFO - Iter [129350/160000] lr: 3.750e-05, eta: 1:52:19, time: 0.190, data_time: 0.008, memory: 52540, decode.loss_ce: 0.1835, decode.acc_seg: 92.4741, loss: 0.1835 +2023-03-04 09:05:41,585 - mmseg - INFO - Iter [129400/160000] lr: 3.750e-05, eta: 1:52:08, time: 0.241, data_time: 0.052, memory: 52540, decode.loss_ce: 0.1814, decode.acc_seg: 92.6092, loss: 0.1814 +2023-03-04 09:05:51,265 - mmseg - INFO - Iter [129450/160000] lr: 3.750e-05, eta: 1:51:57, time: 0.194, data_time: 0.008, memory: 52540, decode.loss_ce: 0.1886, decode.acc_seg: 92.2878, loss: 0.1886 +2023-03-04 09:06:01,013 - mmseg - INFO - Iter [129500/160000] lr: 3.750e-05, eta: 1:51:46, time: 0.195, data_time: 0.008, memory: 52540, decode.loss_ce: 0.1796, decode.acc_seg: 92.6584, loss: 0.1796 +2023-03-04 09:06:10,612 - mmseg - INFO - Iter [129550/160000] lr: 3.750e-05, eta: 1:51:34, time: 0.192, data_time: 0.008, memory: 52540, decode.loss_ce: 0.1860, decode.acc_seg: 92.3777, loss: 0.1860 +2023-03-04 09:06:20,299 - mmseg - INFO - Iter [129600/160000] lr: 3.750e-05, eta: 1:51:23, time: 0.194, data_time: 0.008, memory: 52540, decode.loss_ce: 0.1802, decode.acc_seg: 92.4906, loss: 0.1802 +2023-03-04 09:06:29,979 - mmseg - INFO - Iter [129650/160000] lr: 3.750e-05, eta: 1:51:12, time: 0.194, data_time: 0.008, memory: 52540, decode.loss_ce: 0.1846, decode.acc_seg: 92.4467, loss: 0.1846 +2023-03-04 09:06:39,787 - mmseg - INFO - Iter [129700/160000] lr: 3.750e-05, eta: 1:51:00, time: 0.196, data_time: 0.008, memory: 52540, decode.loss_ce: 0.1864, decode.acc_seg: 92.4584, loss: 0.1864 +2023-03-04 09:06:49,345 - mmseg - INFO - Iter [129750/160000] lr: 3.750e-05, eta: 1:50:49, time: 0.191, data_time: 0.008, memory: 52540, decode.loss_ce: 0.1938, decode.acc_seg: 92.0494, loss: 0.1938 +2023-03-04 09:06:59,031 - mmseg - INFO - Iter [129800/160000] lr: 3.750e-05, eta: 1:50:38, time: 0.194, data_time: 0.008, memory: 52540, decode.loss_ce: 0.1850, decode.acc_seg: 92.5198, loss: 0.1850 +2023-03-04 09:07:08,876 - mmseg - INFO - Iter [129850/160000] lr: 3.750e-05, eta: 1:50:27, time: 0.197, data_time: 0.008, memory: 52540, decode.loss_ce: 0.1910, decode.acc_seg: 92.2992, loss: 0.1910 +2023-03-04 09:07:18,599 - mmseg - INFO - Iter [129900/160000] lr: 3.750e-05, eta: 1:50:15, time: 0.194, data_time: 0.008, memory: 52540, decode.loss_ce: 0.1875, decode.acc_seg: 92.2416, loss: 0.1875 +2023-03-04 09:07:28,094 - mmseg - INFO - Iter [129950/160000] lr: 3.750e-05, eta: 1:50:04, time: 0.190, data_time: 0.008, memory: 52540, decode.loss_ce: 0.1826, decode.acc_seg: 92.5349, loss: 0.1826 +2023-03-04 09:07:40,330 - mmseg - INFO - Exp name: ablation_segformer_mit_b2_segformer_head_unet_fc_small_multi_step_ade_pretrained_freeze_embed_160k_ade20k151_finetune_ema_t50.py +2023-03-04 09:07:40,330 - mmseg - INFO - Iter [130000/160000] lr: 3.750e-05, eta: 1:49:53, time: 0.245, data_time: 0.054, memory: 52540, decode.loss_ce: 0.1913, decode.acc_seg: 92.1026, loss: 0.1913 +2023-03-04 09:07:49,887 - mmseg - INFO - Iter [130050/160000] lr: 3.750e-05, eta: 1:49:42, time: 0.191, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1871, decode.acc_seg: 92.2879, loss: 0.1871 +2023-03-04 09:07:59,512 - mmseg - INFO - Iter [130100/160000] lr: 3.750e-05, eta: 1:49:31, time: 0.192, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1944, decode.acc_seg: 92.0266, loss: 0.1944 +2023-03-04 09:08:08,994 - mmseg - INFO - Iter [130150/160000] lr: 3.750e-05, eta: 1:49:19, time: 0.190, data_time: 0.008, memory: 52540, decode.loss_ce: 0.1963, decode.acc_seg: 92.1913, loss: 0.1963 +2023-03-04 09:08:18,483 - mmseg - INFO - Iter [130200/160000] lr: 3.750e-05, eta: 1:49:08, time: 0.190, data_time: 0.008, memory: 52540, decode.loss_ce: 0.1844, decode.acc_seg: 92.4151, loss: 0.1844 +2023-03-04 09:08:28,407 - mmseg - INFO - Iter [130250/160000] lr: 3.750e-05, eta: 1:48:57, time: 0.198, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1837, decode.acc_seg: 92.3913, loss: 0.1837 +2023-03-04 09:08:37,886 - mmseg - INFO - Iter [130300/160000] lr: 3.750e-05, eta: 1:48:45, time: 0.190, data_time: 0.008, memory: 52540, decode.loss_ce: 0.1860, decode.acc_seg: 92.4864, loss: 0.1860 +2023-03-04 09:08:47,325 - mmseg - INFO - Iter [130350/160000] lr: 3.750e-05, eta: 1:48:34, time: 0.189, data_time: 0.008, memory: 52540, decode.loss_ce: 0.1853, decode.acc_seg: 92.3506, loss: 0.1853 +2023-03-04 09:08:56,888 - mmseg - INFO - Iter [130400/160000] lr: 3.750e-05, eta: 1:48:23, time: 0.191, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1952, decode.acc_seg: 92.1786, loss: 0.1952 +2023-03-04 09:09:06,583 - mmseg - INFO - Iter [130450/160000] lr: 3.750e-05, eta: 1:48:11, time: 0.194, data_time: 0.008, memory: 52540, decode.loss_ce: 0.1864, decode.acc_seg: 92.4883, loss: 0.1864 +2023-03-04 09:09:16,420 - mmseg - INFO - Iter [130500/160000] lr: 3.750e-05, eta: 1:48:00, time: 0.196, data_time: 0.008, memory: 52540, decode.loss_ce: 0.1861, decode.acc_seg: 92.3126, loss: 0.1861 +2023-03-04 09:09:26,347 - mmseg - INFO - Iter [130550/160000] lr: 3.750e-05, eta: 1:47:49, time: 0.199, data_time: 0.008, memory: 52540, decode.loss_ce: 0.1798, decode.acc_seg: 92.4612, loss: 0.1798 +2023-03-04 09:09:36,240 - mmseg - INFO - Iter [130600/160000] lr: 3.750e-05, eta: 1:47:38, time: 0.198, data_time: 0.008, memory: 52540, decode.loss_ce: 0.1845, decode.acc_seg: 92.5059, loss: 0.1845 +2023-03-04 09:09:48,203 - mmseg - INFO - Iter [130650/160000] lr: 3.750e-05, eta: 1:47:27, time: 0.239, data_time: 0.055, memory: 52540, decode.loss_ce: 0.1893, decode.acc_seg: 92.4288, loss: 0.1893 +2023-03-04 09:09:57,928 - mmseg - INFO - Iter [130700/160000] lr: 3.750e-05, eta: 1:47:16, time: 0.194, data_time: 0.008, memory: 52540, decode.loss_ce: 0.1873, decode.acc_seg: 92.2778, loss: 0.1873 +2023-03-04 09:10:07,486 - mmseg - INFO - Iter [130750/160000] lr: 3.750e-05, eta: 1:47:04, time: 0.191, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1786, decode.acc_seg: 92.6474, loss: 0.1786 +2023-03-04 09:10:17,139 - mmseg - INFO - Iter [130800/160000] lr: 3.750e-05, eta: 1:46:53, time: 0.193, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1873, decode.acc_seg: 92.2194, loss: 0.1873 +2023-03-04 09:10:26,664 - mmseg - INFO - Iter [130850/160000] lr: 3.750e-05, eta: 1:46:42, time: 0.191, data_time: 0.008, memory: 52540, decode.loss_ce: 0.1902, decode.acc_seg: 92.3462, loss: 0.1902 +2023-03-04 09:10:36,237 - mmseg - INFO - Iter [130900/160000] lr: 3.750e-05, eta: 1:46:31, time: 0.191, data_time: 0.008, memory: 52540, decode.loss_ce: 0.1781, decode.acc_seg: 92.5820, loss: 0.1781 +2023-03-04 09:10:45,911 - mmseg - INFO - Iter [130950/160000] lr: 3.750e-05, eta: 1:46:19, time: 0.193, data_time: 0.008, memory: 52540, decode.loss_ce: 0.1864, decode.acc_seg: 92.3871, loss: 0.1864 +2023-03-04 09:10:55,383 - mmseg - INFO - Exp name: ablation_segformer_mit_b2_segformer_head_unet_fc_small_multi_step_ade_pretrained_freeze_embed_160k_ade20k151_finetune_ema_t50.py +2023-03-04 09:10:55,383 - mmseg - INFO - Iter [131000/160000] lr: 3.750e-05, eta: 1:46:08, time: 0.189, data_time: 0.008, memory: 52540, decode.loss_ce: 0.1826, decode.acc_seg: 92.5423, loss: 0.1826 +2023-03-04 09:11:05,081 - mmseg - INFO - Iter [131050/160000] lr: 3.750e-05, eta: 1:45:57, time: 0.194, data_time: 0.008, memory: 52540, decode.loss_ce: 0.1839, decode.acc_seg: 92.3739, loss: 0.1839 +2023-03-04 09:11:14,822 - mmseg - INFO - Iter [131100/160000] lr: 3.750e-05, eta: 1:45:45, time: 0.195, data_time: 0.008, memory: 52540, decode.loss_ce: 0.1809, decode.acc_seg: 92.5247, loss: 0.1809 +2023-03-04 09:11:24,494 - mmseg - INFO - Iter [131150/160000] lr: 3.750e-05, eta: 1:45:34, time: 0.193, data_time: 0.008, memory: 52540, decode.loss_ce: 0.1786, decode.acc_seg: 92.5777, loss: 0.1786 +2023-03-04 09:11:34,151 - mmseg - INFO - Iter [131200/160000] lr: 3.750e-05, eta: 1:45:23, time: 0.193, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1875, decode.acc_seg: 92.2332, loss: 0.1875 +2023-03-04 09:11:46,173 - mmseg - INFO - Iter [131250/160000] lr: 3.750e-05, eta: 1:45:12, time: 0.240, data_time: 0.056, memory: 52540, decode.loss_ce: 0.1922, decode.acc_seg: 92.0822, loss: 0.1922 +2023-03-04 09:11:55,802 - mmseg - INFO - Iter [131300/160000] lr: 3.750e-05, eta: 1:45:01, time: 0.193, data_time: 0.008, memory: 52540, decode.loss_ce: 0.1743, decode.acc_seg: 92.7428, loss: 0.1743 +2023-03-04 09:12:05,568 - mmseg - INFO - Iter [131350/160000] lr: 3.750e-05, eta: 1:44:50, time: 0.195, data_time: 0.008, memory: 52540, decode.loss_ce: 0.1917, decode.acc_seg: 92.1958, loss: 0.1917 +2023-03-04 09:12:15,366 - mmseg - INFO - Iter [131400/160000] lr: 3.750e-05, eta: 1:44:38, time: 0.196, data_time: 0.008, memory: 52540, decode.loss_ce: 0.1869, decode.acc_seg: 92.3562, loss: 0.1869 +2023-03-04 09:12:25,055 - mmseg - INFO - Iter [131450/160000] lr: 3.750e-05, eta: 1:44:27, time: 0.194, data_time: 0.008, memory: 52540, decode.loss_ce: 0.1925, decode.acc_seg: 92.0801, loss: 0.1925 +2023-03-04 09:12:34,554 - mmseg - INFO - Iter [131500/160000] lr: 3.750e-05, eta: 1:44:16, time: 0.190, data_time: 0.008, memory: 52540, decode.loss_ce: 0.1813, decode.acc_seg: 92.5139, loss: 0.1813 +2023-03-04 09:12:44,145 - mmseg - INFO - Iter [131550/160000] lr: 3.750e-05, eta: 1:44:05, time: 0.192, data_time: 0.008, memory: 52540, decode.loss_ce: 0.1795, decode.acc_seg: 92.5095, loss: 0.1795 +2023-03-04 09:12:54,178 - mmseg - INFO - Iter [131600/160000] lr: 3.750e-05, eta: 1:43:53, time: 0.201, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1877, decode.acc_seg: 92.3665, loss: 0.1877 +2023-03-04 09:13:03,608 - mmseg - INFO - Iter [131650/160000] lr: 3.750e-05, eta: 1:43:42, time: 0.189, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1817, decode.acc_seg: 92.5105, loss: 0.1817 +2023-03-04 09:13:13,042 - mmseg - INFO - Iter [131700/160000] lr: 3.750e-05, eta: 1:43:31, time: 0.189, data_time: 0.008, memory: 52540, decode.loss_ce: 0.1899, decode.acc_seg: 92.1658, loss: 0.1899 +2023-03-04 09:13:22,642 - mmseg - INFO - Iter [131750/160000] lr: 3.750e-05, eta: 1:43:20, time: 0.192, data_time: 0.008, memory: 52540, decode.loss_ce: 0.1835, decode.acc_seg: 92.4843, loss: 0.1835 +2023-03-04 09:13:32,314 - mmseg - INFO - Iter [131800/160000] lr: 3.750e-05, eta: 1:43:08, time: 0.193, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1886, decode.acc_seg: 92.2908, loss: 0.1886 +2023-03-04 09:13:41,876 - mmseg - INFO - Iter [131850/160000] lr: 3.750e-05, eta: 1:42:57, time: 0.191, data_time: 0.008, memory: 52540, decode.loss_ce: 0.1910, decode.acc_seg: 92.1757, loss: 0.1910 +2023-03-04 09:13:53,977 - mmseg - INFO - Iter [131900/160000] lr: 3.750e-05, eta: 1:42:46, time: 0.242, data_time: 0.055, memory: 52540, decode.loss_ce: 0.1889, decode.acc_seg: 92.1915, loss: 0.1889 +2023-03-04 09:14:03,491 - mmseg - INFO - Iter [131950/160000] lr: 3.750e-05, eta: 1:42:35, time: 0.190, data_time: 0.008, memory: 52540, decode.loss_ce: 0.1812, decode.acc_seg: 92.4420, loss: 0.1812 +2023-03-04 09:14:13,234 - mmseg - INFO - Exp name: ablation_segformer_mit_b2_segformer_head_unet_fc_small_multi_step_ade_pretrained_freeze_embed_160k_ade20k151_finetune_ema_t50.py +2023-03-04 09:14:13,234 - mmseg - INFO - Iter [132000/160000] lr: 3.750e-05, eta: 1:42:24, time: 0.195, data_time: 0.008, memory: 52540, decode.loss_ce: 0.1837, decode.acc_seg: 92.4712, loss: 0.1837 +2023-03-04 09:14:22,781 - mmseg - INFO - Iter [132050/160000] lr: 3.750e-05, eta: 1:42:12, time: 0.191, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1833, decode.acc_seg: 92.5149, loss: 0.1833 +2023-03-04 09:14:32,376 - mmseg - INFO - Iter [132100/160000] lr: 3.750e-05, eta: 1:42:01, time: 0.192, data_time: 0.008, memory: 52540, decode.loss_ce: 0.1833, decode.acc_seg: 92.4897, loss: 0.1833 +2023-03-04 09:14:41,874 - mmseg - INFO - Iter [132150/160000] lr: 3.750e-05, eta: 1:41:50, time: 0.190, data_time: 0.008, memory: 52540, decode.loss_ce: 0.1856, decode.acc_seg: 92.2433, loss: 0.1856 +2023-03-04 09:14:51,519 - mmseg - INFO - Iter [132200/160000] lr: 3.750e-05, eta: 1:41:39, time: 0.193, data_time: 0.008, memory: 52540, decode.loss_ce: 0.1832, decode.acc_seg: 92.4365, loss: 0.1832 +2023-03-04 09:15:01,224 - mmseg - INFO - Iter [132250/160000] lr: 3.750e-05, eta: 1:41:27, time: 0.194, data_time: 0.008, memory: 52540, decode.loss_ce: 0.1767, decode.acc_seg: 92.6195, loss: 0.1767 +2023-03-04 09:15:10,940 - mmseg - INFO - Iter [132300/160000] lr: 3.750e-05, eta: 1:41:16, time: 0.194, data_time: 0.008, memory: 52540, decode.loss_ce: 0.1823, decode.acc_seg: 92.4698, loss: 0.1823 +2023-03-04 09:15:20,702 - mmseg - INFO - Iter [132350/160000] lr: 3.750e-05, eta: 1:41:05, time: 0.195, data_time: 0.008, memory: 52540, decode.loss_ce: 0.1863, decode.acc_seg: 92.4242, loss: 0.1863 +2023-03-04 09:15:30,241 - mmseg - INFO - Iter [132400/160000] lr: 3.750e-05, eta: 1:40:54, time: 0.191, data_time: 0.008, memory: 52540, decode.loss_ce: 0.1853, decode.acc_seg: 92.5022, loss: 0.1853 +2023-03-04 09:15:40,104 - mmseg - INFO - Iter [132450/160000] lr: 3.750e-05, eta: 1:40:43, time: 0.197, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1806, decode.acc_seg: 92.6166, loss: 0.1806 +2023-03-04 09:15:49,687 - mmseg - INFO - Iter [132500/160000] lr: 3.750e-05, eta: 1:40:31, time: 0.192, data_time: 0.008, memory: 52540, decode.loss_ce: 0.1879, decode.acc_seg: 92.3543, loss: 0.1879 +2023-03-04 09:16:01,768 - mmseg - INFO - Iter [132550/160000] lr: 3.750e-05, eta: 1:40:21, time: 0.242, data_time: 0.054, memory: 52540, decode.loss_ce: 0.1815, decode.acc_seg: 92.6003, loss: 0.1815 +2023-03-04 09:16:11,472 - mmseg - INFO - Iter [132600/160000] lr: 3.750e-05, eta: 1:40:09, time: 0.194, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1860, decode.acc_seg: 92.4973, loss: 0.1860 +2023-03-04 09:16:21,166 - mmseg - INFO - Iter [132650/160000] lr: 3.750e-05, eta: 1:39:58, time: 0.194, data_time: 0.008, memory: 52540, decode.loss_ce: 0.1880, decode.acc_seg: 92.1909, loss: 0.1880 +2023-03-04 09:16:30,831 - mmseg - INFO - Iter [132700/160000] lr: 3.750e-05, eta: 1:39:47, time: 0.193, data_time: 0.008, memory: 52540, decode.loss_ce: 0.1857, decode.acc_seg: 92.3854, loss: 0.1857 +2023-03-04 09:16:40,298 - mmseg - INFO - Iter [132750/160000] lr: 3.750e-05, eta: 1:39:36, time: 0.189, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1734, decode.acc_seg: 92.7466, loss: 0.1734 +2023-03-04 09:16:49,947 - mmseg - INFO - Iter [132800/160000] lr: 3.750e-05, eta: 1:39:24, time: 0.193, data_time: 0.008, memory: 52540, decode.loss_ce: 0.1979, decode.acc_seg: 92.0561, loss: 0.1979 +2023-03-04 09:16:59,713 - mmseg - INFO - Iter [132850/160000] lr: 3.750e-05, eta: 1:39:13, time: 0.195, data_time: 0.008, memory: 52540, decode.loss_ce: 0.1826, decode.acc_seg: 92.4453, loss: 0.1826 +2023-03-04 09:17:09,256 - mmseg - INFO - Iter [132900/160000] lr: 3.750e-05, eta: 1:39:02, time: 0.191, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1860, decode.acc_seg: 92.3140, loss: 0.1860 +2023-03-04 09:17:18,736 - mmseg - INFO - Iter [132950/160000] lr: 3.750e-05, eta: 1:38:51, time: 0.189, data_time: 0.008, memory: 52540, decode.loss_ce: 0.1911, decode.acc_seg: 92.1957, loss: 0.1911 +2023-03-04 09:17:28,269 - mmseg - INFO - Exp name: ablation_segformer_mit_b2_segformer_head_unet_fc_small_multi_step_ade_pretrained_freeze_embed_160k_ade20k151_finetune_ema_t50.py +2023-03-04 09:17:28,269 - mmseg - INFO - Iter [133000/160000] lr: 3.750e-05, eta: 1:38:39, time: 0.191, data_time: 0.008, memory: 52540, decode.loss_ce: 0.1816, decode.acc_seg: 92.5487, loss: 0.1816 +2023-03-04 09:17:37,733 - mmseg - INFO - Iter [133050/160000] lr: 3.750e-05, eta: 1:38:28, time: 0.189, data_time: 0.008, memory: 52540, decode.loss_ce: 0.1934, decode.acc_seg: 92.2137, loss: 0.1934 +2023-03-04 09:17:47,287 - mmseg - INFO - Iter [133100/160000] lr: 3.750e-05, eta: 1:38:17, time: 0.191, data_time: 0.008, memory: 52540, decode.loss_ce: 0.1890, decode.acc_seg: 92.2179, loss: 0.1890 +2023-03-04 09:17:59,444 - mmseg - INFO - Iter [133150/160000] lr: 3.750e-05, eta: 1:38:06, time: 0.243, data_time: 0.056, memory: 52540, decode.loss_ce: 0.1764, decode.acc_seg: 92.6679, loss: 0.1764 +2023-03-04 09:18:09,125 - mmseg - INFO - Iter [133200/160000] lr: 3.750e-05, eta: 1:37:55, time: 0.194, data_time: 0.008, memory: 52540, decode.loss_ce: 0.1841, decode.acc_seg: 92.2518, loss: 0.1841 +2023-03-04 09:18:18,664 - mmseg - INFO - Iter [133250/160000] lr: 3.750e-05, eta: 1:37:44, time: 0.191, data_time: 0.008, memory: 52540, decode.loss_ce: 0.1831, decode.acc_seg: 92.3148, loss: 0.1831 +2023-03-04 09:18:28,212 - mmseg - INFO - Iter [133300/160000] lr: 3.750e-05, eta: 1:37:32, time: 0.191, data_time: 0.008, memory: 52540, decode.loss_ce: 0.1845, decode.acc_seg: 92.3827, loss: 0.1845 +2023-03-04 09:18:37,947 - mmseg - INFO - Iter [133350/160000] lr: 3.750e-05, eta: 1:37:21, time: 0.195, data_time: 0.008, memory: 52540, decode.loss_ce: 0.1802, decode.acc_seg: 92.4245, loss: 0.1802 +2023-03-04 09:18:47,580 - mmseg - INFO - Iter [133400/160000] lr: 3.750e-05, eta: 1:37:10, time: 0.193, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1825, decode.acc_seg: 92.5858, loss: 0.1825 +2023-03-04 09:18:57,099 - mmseg - INFO - Iter [133450/160000] lr: 3.750e-05, eta: 1:36:59, time: 0.190, data_time: 0.008, memory: 52540, decode.loss_ce: 0.1770, decode.acc_seg: 92.7228, loss: 0.1770 +2023-03-04 09:19:06,587 - mmseg - INFO - Iter [133500/160000] lr: 3.750e-05, eta: 1:36:47, time: 0.190, data_time: 0.008, memory: 52540, decode.loss_ce: 0.1784, decode.acc_seg: 92.5991, loss: 0.1784 +2023-03-04 09:19:16,283 - mmseg - INFO - Iter [133550/160000] lr: 3.750e-05, eta: 1:36:36, time: 0.194, data_time: 0.008, memory: 52540, decode.loss_ce: 0.1884, decode.acc_seg: 92.3916, loss: 0.1884 +2023-03-04 09:19:26,164 - mmseg - INFO - Iter [133600/160000] lr: 3.750e-05, eta: 1:36:25, time: 0.198, data_time: 0.008, memory: 52540, decode.loss_ce: 0.1914, decode.acc_seg: 92.1226, loss: 0.1914 +2023-03-04 09:19:35,884 - mmseg - INFO - Iter [133650/160000] lr: 3.750e-05, eta: 1:36:14, time: 0.194, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1908, decode.acc_seg: 92.1563, loss: 0.1908 +2023-03-04 09:19:45,670 - mmseg - INFO - Iter [133700/160000] lr: 3.750e-05, eta: 1:36:03, time: 0.196, data_time: 0.008, memory: 52540, decode.loss_ce: 0.1833, decode.acc_seg: 92.5557, loss: 0.1833 +2023-03-04 09:19:55,575 - mmseg - INFO - Iter [133750/160000] lr: 3.750e-05, eta: 1:35:52, time: 0.198, data_time: 0.008, memory: 52540, decode.loss_ce: 0.1856, decode.acc_seg: 92.3937, loss: 0.1856 +2023-03-04 09:20:07,730 - mmseg - INFO - Iter [133800/160000] lr: 3.750e-05, eta: 1:35:41, time: 0.243, data_time: 0.055, memory: 52540, decode.loss_ce: 0.1906, decode.acc_seg: 92.3326, loss: 0.1906 +2023-03-04 09:20:17,213 - mmseg - INFO - Iter [133850/160000] lr: 3.750e-05, eta: 1:35:30, time: 0.190, data_time: 0.008, memory: 52540, decode.loss_ce: 0.1932, decode.acc_seg: 92.1141, loss: 0.1932 +2023-03-04 09:20:27,102 - mmseg - INFO - Iter [133900/160000] lr: 3.750e-05, eta: 1:35:18, time: 0.198, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1903, decode.acc_seg: 92.0825, loss: 0.1903 +2023-03-04 09:20:36,697 - mmseg - INFO - Iter [133950/160000] lr: 3.750e-05, eta: 1:35:07, time: 0.192, data_time: 0.008, memory: 52540, decode.loss_ce: 0.1914, decode.acc_seg: 92.1239, loss: 0.1914 +2023-03-04 09:20:46,450 - mmseg - INFO - Exp name: ablation_segformer_mit_b2_segformer_head_unet_fc_small_multi_step_ade_pretrained_freeze_embed_160k_ade20k151_finetune_ema_t50.py +2023-03-04 09:20:46,451 - mmseg - INFO - Iter [134000/160000] lr: 3.750e-05, eta: 1:34:56, time: 0.195, data_time: 0.008, memory: 52540, decode.loss_ce: 0.1782, decode.acc_seg: 92.5901, loss: 0.1782 +2023-03-04 09:20:56,021 - mmseg - INFO - Iter [134050/160000] lr: 3.750e-05, eta: 1:34:45, time: 0.191, data_time: 0.008, memory: 52540, decode.loss_ce: 0.1882, decode.acc_seg: 92.3194, loss: 0.1882 +2023-03-04 09:21:05,502 - mmseg - INFO - Iter [134100/160000] lr: 3.750e-05, eta: 1:34:34, time: 0.190, data_time: 0.008, memory: 52540, decode.loss_ce: 0.1859, decode.acc_seg: 92.3049, loss: 0.1859 +2023-03-04 09:21:15,350 - mmseg - INFO - Iter [134150/160000] lr: 3.750e-05, eta: 1:34:22, time: 0.197, data_time: 0.008, memory: 52540, decode.loss_ce: 0.1797, decode.acc_seg: 92.4290, loss: 0.1797 +2023-03-04 09:21:24,859 - mmseg - INFO - Iter [134200/160000] lr: 3.750e-05, eta: 1:34:11, time: 0.190, data_time: 0.008, memory: 52540, decode.loss_ce: 0.1831, decode.acc_seg: 92.3750, loss: 0.1831 +2023-03-04 09:21:34,254 - mmseg - INFO - Iter [134250/160000] lr: 3.750e-05, eta: 1:34:00, time: 0.188, data_time: 0.008, memory: 52540, decode.loss_ce: 0.1811, decode.acc_seg: 92.5781, loss: 0.1811 +2023-03-04 09:21:43,936 - mmseg - INFO - Iter [134300/160000] lr: 3.750e-05, eta: 1:33:49, time: 0.194, data_time: 0.008, memory: 52540, decode.loss_ce: 0.1937, decode.acc_seg: 92.0613, loss: 0.1937 +2023-03-04 09:21:53,527 - mmseg - INFO - Iter [134350/160000] lr: 3.750e-05, eta: 1:33:37, time: 0.192, data_time: 0.008, memory: 52540, decode.loss_ce: 0.1890, decode.acc_seg: 92.2563, loss: 0.1890 +2023-03-04 09:22:03,144 - mmseg - INFO - Iter [134400/160000] lr: 3.750e-05, eta: 1:33:26, time: 0.193, data_time: 0.008, memory: 52540, decode.loss_ce: 0.1863, decode.acc_seg: 92.2621, loss: 0.1863 +2023-03-04 09:22:15,211 - mmseg - INFO - Iter [134450/160000] lr: 3.750e-05, eta: 1:33:16, time: 0.241, data_time: 0.058, memory: 52540, decode.loss_ce: 0.1773, decode.acc_seg: 92.7420, loss: 0.1773 +2023-03-04 09:22:24,823 - mmseg - INFO - Iter [134500/160000] lr: 3.750e-05, eta: 1:33:04, time: 0.192, data_time: 0.008, memory: 52540, decode.loss_ce: 0.1815, decode.acc_seg: 92.6235, loss: 0.1815 +2023-03-04 09:22:34,430 - mmseg - INFO - Iter [134550/160000] lr: 3.750e-05, eta: 1:32:53, time: 0.192, data_time: 0.008, memory: 52540, decode.loss_ce: 0.1924, decode.acc_seg: 92.0610, loss: 0.1924 +2023-03-04 09:22:43,998 - mmseg - INFO - Iter [134600/160000] lr: 3.750e-05, eta: 1:32:42, time: 0.191, data_time: 0.008, memory: 52540, decode.loss_ce: 0.1801, decode.acc_seg: 92.5891, loss: 0.1801 +2023-03-04 09:22:53,538 - mmseg - INFO - Iter [134650/160000] lr: 3.750e-05, eta: 1:32:31, time: 0.191, data_time: 0.008, memory: 52540, decode.loss_ce: 0.1848, decode.acc_seg: 92.4227, loss: 0.1848 +2023-03-04 09:23:03,322 - mmseg - INFO - Iter [134700/160000] lr: 3.750e-05, eta: 1:32:20, time: 0.196, data_time: 0.008, memory: 52540, decode.loss_ce: 0.1963, decode.acc_seg: 92.1380, loss: 0.1963 +2023-03-04 09:23:12,857 - mmseg - INFO - Iter [134750/160000] lr: 3.750e-05, eta: 1:32:08, time: 0.191, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1867, decode.acc_seg: 92.2969, loss: 0.1867 +2023-03-04 09:23:22,564 - mmseg - INFO - Iter [134800/160000] lr: 3.750e-05, eta: 1:31:57, time: 0.194, data_time: 0.008, memory: 52540, decode.loss_ce: 0.1872, decode.acc_seg: 92.2876, loss: 0.1872 +2023-03-04 09:23:32,030 - mmseg - INFO - Iter [134850/160000] lr: 3.750e-05, eta: 1:31:46, time: 0.189, data_time: 0.008, memory: 52540, decode.loss_ce: 0.1776, decode.acc_seg: 92.7796, loss: 0.1776 +2023-03-04 09:23:41,514 - mmseg - INFO - Iter [134900/160000] lr: 3.750e-05, eta: 1:31:35, time: 0.190, data_time: 0.008, memory: 52540, decode.loss_ce: 0.1854, decode.acc_seg: 92.2652, loss: 0.1854 +2023-03-04 09:23:51,090 - mmseg - INFO - Iter [134950/160000] lr: 3.750e-05, eta: 1:31:23, time: 0.192, data_time: 0.008, memory: 52540, decode.loss_ce: 0.1904, decode.acc_seg: 92.2368, loss: 0.1904 +2023-03-04 09:24:00,549 - mmseg - INFO - Exp name: ablation_segformer_mit_b2_segformer_head_unet_fc_small_multi_step_ade_pretrained_freeze_embed_160k_ade20k151_finetune_ema_t50.py +2023-03-04 09:24:00,549 - mmseg - INFO - Iter [135000/160000] lr: 3.750e-05, eta: 1:31:12, time: 0.189, data_time: 0.008, memory: 52540, decode.loss_ce: 0.1830, decode.acc_seg: 92.4327, loss: 0.1830 +2023-03-04 09:24:12,605 - mmseg - INFO - Iter [135050/160000] lr: 3.750e-05, eta: 1:31:02, time: 0.241, data_time: 0.056, memory: 52540, decode.loss_ce: 0.1852, decode.acc_seg: 92.4972, loss: 0.1852 +2023-03-04 09:24:22,126 - mmseg - INFO - Iter [135100/160000] lr: 3.750e-05, eta: 1:30:50, time: 0.190, data_time: 0.008, memory: 52540, decode.loss_ce: 0.1788, decode.acc_seg: 92.5734, loss: 0.1788 +2023-03-04 09:24:31,571 - mmseg - INFO - Iter [135150/160000] lr: 3.750e-05, eta: 1:30:39, time: 0.189, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1882, decode.acc_seg: 92.3221, loss: 0.1882 +2023-03-04 09:24:41,146 - mmseg - INFO - Iter [135200/160000] lr: 3.750e-05, eta: 1:30:28, time: 0.191, data_time: 0.008, memory: 52540, decode.loss_ce: 0.1819, decode.acc_seg: 92.3321, loss: 0.1819 +2023-03-04 09:24:50,710 - mmseg - INFO - Iter [135250/160000] lr: 3.750e-05, eta: 1:30:17, time: 0.191, data_time: 0.008, memory: 52540, decode.loss_ce: 0.1913, decode.acc_seg: 92.2387, loss: 0.1913 +2023-03-04 09:25:00,302 - mmseg - INFO - Iter [135300/160000] lr: 3.750e-05, eta: 1:30:06, time: 0.192, data_time: 0.008, memory: 52540, decode.loss_ce: 0.1849, decode.acc_seg: 92.4347, loss: 0.1849 +2023-03-04 09:25:10,057 - mmseg - INFO - Iter [135350/160000] lr: 3.750e-05, eta: 1:29:54, time: 0.195, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1849, decode.acc_seg: 92.4657, loss: 0.1849 +2023-03-04 09:25:19,644 - mmseg - INFO - Iter [135400/160000] lr: 3.750e-05, eta: 1:29:43, time: 0.192, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1884, decode.acc_seg: 92.3802, loss: 0.1884 +2023-03-04 09:25:29,274 - mmseg - INFO - Iter [135450/160000] lr: 3.750e-05, eta: 1:29:32, time: 0.193, data_time: 0.008, memory: 52540, decode.loss_ce: 0.1825, decode.acc_seg: 92.5252, loss: 0.1825 +2023-03-04 09:25:38,960 - mmseg - INFO - Iter [135500/160000] lr: 3.750e-05, eta: 1:29:21, time: 0.194, data_time: 0.008, memory: 52540, decode.loss_ce: 0.1833, decode.acc_seg: 92.4037, loss: 0.1833 +2023-03-04 09:25:48,633 - mmseg - INFO - Iter [135550/160000] lr: 3.750e-05, eta: 1:29:10, time: 0.193, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1863, decode.acc_seg: 92.2701, loss: 0.1863 +2023-03-04 09:25:58,240 - mmseg - INFO - Iter [135600/160000] lr: 3.750e-05, eta: 1:28:58, time: 0.192, data_time: 0.008, memory: 52540, decode.loss_ce: 0.2001, decode.acc_seg: 91.7456, loss: 0.2001 +2023-03-04 09:26:08,071 - mmseg - INFO - Iter [135650/160000] lr: 3.750e-05, eta: 1:28:47, time: 0.197, data_time: 0.008, memory: 52540, decode.loss_ce: 0.1839, decode.acc_seg: 92.4481, loss: 0.1839 +2023-03-04 09:26:20,122 - mmseg - INFO - Iter [135700/160000] lr: 3.750e-05, eta: 1:28:37, time: 0.241, data_time: 0.056, memory: 52540, decode.loss_ce: 0.1982, decode.acc_seg: 92.0728, loss: 0.1982 +2023-03-04 09:26:29,677 - mmseg - INFO - Iter [135750/160000] lr: 3.750e-05, eta: 1:28:25, time: 0.191, data_time: 0.008, memory: 52540, decode.loss_ce: 0.1822, decode.acc_seg: 92.5763, loss: 0.1822 +2023-03-04 09:26:39,240 - mmseg - INFO - Iter [135800/160000] lr: 3.750e-05, eta: 1:28:14, time: 0.191, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1897, decode.acc_seg: 92.1677, loss: 0.1897 +2023-03-04 09:26:49,006 - mmseg - INFO - Iter [135850/160000] lr: 3.750e-05, eta: 1:28:03, time: 0.195, data_time: 0.008, memory: 52540, decode.loss_ce: 0.1824, decode.acc_seg: 92.5415, loss: 0.1824 +2023-03-04 09:26:58,603 - mmseg - INFO - Iter [135900/160000] lr: 3.750e-05, eta: 1:27:52, time: 0.192, data_time: 0.008, memory: 52540, decode.loss_ce: 0.1855, decode.acc_seg: 92.4118, loss: 0.1855 +2023-03-04 09:27:08,310 - mmseg - INFO - Iter [135950/160000] lr: 3.750e-05, eta: 1:27:41, time: 0.194, data_time: 0.008, memory: 52540, decode.loss_ce: 0.1905, decode.acc_seg: 92.0944, loss: 0.1905 +2023-03-04 09:27:17,845 - mmseg - INFO - Exp name: ablation_segformer_mit_b2_segformer_head_unet_fc_small_multi_step_ade_pretrained_freeze_embed_160k_ade20k151_finetune_ema_t50.py +2023-03-04 09:27:17,846 - mmseg - INFO - Iter [136000/160000] lr: 3.750e-05, eta: 1:27:30, time: 0.191, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1885, decode.acc_seg: 92.3073, loss: 0.1885 +2023-03-04 09:27:27,364 - mmseg - INFO - Iter [136050/160000] lr: 3.750e-05, eta: 1:27:18, time: 0.190, data_time: 0.008, memory: 52540, decode.loss_ce: 0.1835, decode.acc_seg: 92.3969, loss: 0.1835 +2023-03-04 09:27:37,480 - mmseg - INFO - Iter [136100/160000] lr: 3.750e-05, eta: 1:27:07, time: 0.202, data_time: 0.009, memory: 52540, decode.loss_ce: 0.1947, decode.acc_seg: 91.9491, loss: 0.1947 +2023-03-04 09:27:47,092 - mmseg - INFO - Iter [136150/160000] lr: 3.750e-05, eta: 1:26:56, time: 0.192, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1896, decode.acc_seg: 92.2088, loss: 0.1896 +2023-03-04 09:27:56,960 - mmseg - INFO - Iter [136200/160000] lr: 3.750e-05, eta: 1:26:45, time: 0.198, data_time: 0.008, memory: 52540, decode.loss_ce: 0.1883, decode.acc_seg: 92.2781, loss: 0.1883 +2023-03-04 09:28:06,647 - mmseg - INFO - Iter [136250/160000] lr: 3.750e-05, eta: 1:26:34, time: 0.193, data_time: 0.008, memory: 52540, decode.loss_ce: 0.1834, decode.acc_seg: 92.4793, loss: 0.1834 +2023-03-04 09:28:18,828 - mmseg - INFO - Iter [136300/160000] lr: 3.750e-05, eta: 1:26:23, time: 0.244, data_time: 0.056, memory: 52540, decode.loss_ce: 0.1995, decode.acc_seg: 91.7953, loss: 0.1995 +2023-03-04 09:28:28,440 - mmseg - INFO - Iter [136350/160000] lr: 3.750e-05, eta: 1:26:12, time: 0.192, data_time: 0.008, memory: 52540, decode.loss_ce: 0.1848, decode.acc_seg: 92.2813, loss: 0.1848 +2023-03-04 09:28:38,225 - mmseg - INFO - Iter [136400/160000] lr: 3.750e-05, eta: 1:26:01, time: 0.196, data_time: 0.008, memory: 52540, decode.loss_ce: 0.1898, decode.acc_seg: 92.2439, loss: 0.1898 +2023-03-04 09:28:47,930 - mmseg - INFO - Iter [136450/160000] lr: 3.750e-05, eta: 1:25:50, time: 0.194, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1849, decode.acc_seg: 92.3935, loss: 0.1849 +2023-03-04 09:28:57,601 - mmseg - INFO - Iter [136500/160000] lr: 3.750e-05, eta: 1:25:39, time: 0.193, data_time: 0.008, memory: 52540, decode.loss_ce: 0.1852, decode.acc_seg: 92.4603, loss: 0.1852 +2023-03-04 09:29:07,079 - mmseg - INFO - Iter [136550/160000] lr: 3.750e-05, eta: 1:25:27, time: 0.190, data_time: 0.008, memory: 52540, decode.loss_ce: 0.1855, decode.acc_seg: 92.3590, loss: 0.1855 +2023-03-04 09:29:16,792 - mmseg - INFO - Iter [136600/160000] lr: 3.750e-05, eta: 1:25:16, time: 0.194, data_time: 0.008, memory: 52540, decode.loss_ce: 0.1921, decode.acc_seg: 92.1861, loss: 0.1921 +2023-03-04 09:29:26,550 - mmseg - INFO - Iter [136650/160000] lr: 3.750e-05, eta: 1:25:05, time: 0.195, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1901, decode.acc_seg: 92.2822, loss: 0.1901 +2023-03-04 09:29:36,283 - mmseg - INFO - Iter [136700/160000] lr: 3.750e-05, eta: 1:24:54, time: 0.195, data_time: 0.008, memory: 52540, decode.loss_ce: 0.1822, decode.acc_seg: 92.5200, loss: 0.1822 +2023-03-04 09:29:45,948 - mmseg - INFO - Iter [136750/160000] lr: 3.750e-05, eta: 1:24:43, time: 0.193, data_time: 0.008, memory: 52540, decode.loss_ce: 0.1856, decode.acc_seg: 92.3449, loss: 0.1856 +2023-03-04 09:29:55,404 - mmseg - INFO - Iter [136800/160000] lr: 3.750e-05, eta: 1:24:32, time: 0.189, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1936, decode.acc_seg: 92.2146, loss: 0.1936 +2023-03-04 09:30:04,972 - mmseg - INFO - Iter [136850/160000] lr: 3.750e-05, eta: 1:24:20, time: 0.191, data_time: 0.008, memory: 52540, decode.loss_ce: 0.1790, decode.acc_seg: 92.7065, loss: 0.1790 +2023-03-04 09:30:14,559 - mmseg - INFO - Iter [136900/160000] lr: 3.750e-05, eta: 1:24:09, time: 0.192, data_time: 0.008, memory: 52540, decode.loss_ce: 0.1881, decode.acc_seg: 92.2655, loss: 0.1881 +2023-03-04 09:30:26,734 - mmseg - INFO - Iter [136950/160000] lr: 3.750e-05, eta: 1:23:59, time: 0.243, data_time: 0.054, memory: 52540, decode.loss_ce: 0.1908, decode.acc_seg: 92.2626, loss: 0.1908 +2023-03-04 09:30:36,743 - mmseg - INFO - Exp name: ablation_segformer_mit_b2_segformer_head_unet_fc_small_multi_step_ade_pretrained_freeze_embed_160k_ade20k151_finetune_ema_t50.py +2023-03-04 09:30:36,744 - mmseg - INFO - Iter [137000/160000] lr: 3.750e-05, eta: 1:23:47, time: 0.200, data_time: 0.008, memory: 52540, decode.loss_ce: 0.1847, decode.acc_seg: 92.4336, loss: 0.1847 +2023-03-04 09:30:46,345 - mmseg - INFO - Iter [137050/160000] lr: 3.750e-05, eta: 1:23:36, time: 0.192, data_time: 0.008, memory: 52540, decode.loss_ce: 0.1819, decode.acc_seg: 92.4847, loss: 0.1819 +2023-03-04 09:30:55,951 - mmseg - INFO - Iter [137100/160000] lr: 3.750e-05, eta: 1:23:25, time: 0.192, data_time: 0.008, memory: 52540, decode.loss_ce: 0.1837, decode.acc_seg: 92.4220, loss: 0.1837 +2023-03-04 09:31:05,468 - mmseg - INFO - Iter [137150/160000] lr: 3.750e-05, eta: 1:23:14, time: 0.190, data_time: 0.008, memory: 52540, decode.loss_ce: 0.1912, decode.acc_seg: 92.1961, loss: 0.1912 +2023-03-04 09:31:15,457 - mmseg - INFO - Iter [137200/160000] lr: 3.750e-05, eta: 1:23:03, time: 0.200, data_time: 0.008, memory: 52540, decode.loss_ce: 0.1856, decode.acc_seg: 92.3908, loss: 0.1856 +2023-03-04 09:31:24,962 - mmseg - INFO - Iter [137250/160000] lr: 3.750e-05, eta: 1:22:52, time: 0.190, data_time: 0.008, memory: 52540, decode.loss_ce: 0.1878, decode.acc_seg: 92.3341, loss: 0.1878 +2023-03-04 09:31:34,468 - mmseg - INFO - Iter [137300/160000] lr: 3.750e-05, eta: 1:22:41, time: 0.190, data_time: 0.008, memory: 52540, decode.loss_ce: 0.1877, decode.acc_seg: 92.3362, loss: 0.1877 +2023-03-04 09:31:44,346 - mmseg - INFO - Iter [137350/160000] lr: 3.750e-05, eta: 1:22:29, time: 0.198, data_time: 0.008, memory: 52540, decode.loss_ce: 0.1939, decode.acc_seg: 92.1263, loss: 0.1939 +2023-03-04 09:31:54,023 - mmseg - INFO - Iter [137400/160000] lr: 3.750e-05, eta: 1:22:18, time: 0.194, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1836, decode.acc_seg: 92.5306, loss: 0.1836 +2023-03-04 09:32:03,870 - mmseg - INFO - Iter [137450/160000] lr: 3.750e-05, eta: 1:22:07, time: 0.197, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1786, decode.acc_seg: 92.6034, loss: 0.1786 +2023-03-04 09:32:13,450 - mmseg - INFO - Iter [137500/160000] lr: 3.750e-05, eta: 1:21:56, time: 0.192, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1868, decode.acc_seg: 92.2864, loss: 0.1868 +2023-03-04 09:32:23,265 - mmseg - INFO - Iter [137550/160000] lr: 3.750e-05, eta: 1:21:45, time: 0.196, data_time: 0.008, memory: 52540, decode.loss_ce: 0.1834, decode.acc_seg: 92.4938, loss: 0.1834 +2023-03-04 09:32:35,344 - mmseg - INFO - Iter [137600/160000] lr: 3.750e-05, eta: 1:21:34, time: 0.242, data_time: 0.056, memory: 52540, decode.loss_ce: 0.1815, decode.acc_seg: 92.6377, loss: 0.1815 +2023-03-04 09:32:45,054 - mmseg - INFO - Iter [137650/160000] lr: 3.750e-05, eta: 1:21:23, time: 0.194, data_time: 0.008, memory: 52540, decode.loss_ce: 0.1833, decode.acc_seg: 92.4619, loss: 0.1833 +2023-03-04 09:32:54,604 - mmseg - INFO - Iter [137700/160000] lr: 3.750e-05, eta: 1:21:12, time: 0.191, data_time: 0.008, memory: 52540, decode.loss_ce: 0.1832, decode.acc_seg: 92.3998, loss: 0.1832 +2023-03-04 09:33:04,359 - mmseg - INFO - Iter [137750/160000] lr: 3.750e-05, eta: 1:21:01, time: 0.195, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1949, decode.acc_seg: 92.0835, loss: 0.1949 +2023-03-04 09:33:14,147 - mmseg - INFO - Iter [137800/160000] lr: 3.750e-05, eta: 1:20:50, time: 0.196, data_time: 0.008, memory: 52540, decode.loss_ce: 0.1857, decode.acc_seg: 92.2844, loss: 0.1857 +2023-03-04 09:33:23,732 - mmseg - INFO - Iter [137850/160000] lr: 3.750e-05, eta: 1:20:39, time: 0.192, data_time: 0.008, memory: 52540, decode.loss_ce: 0.1811, decode.acc_seg: 92.4828, loss: 0.1811 +2023-03-04 09:33:33,487 - mmseg - INFO - Iter [137900/160000] lr: 3.750e-05, eta: 1:20:28, time: 0.195, data_time: 0.008, memory: 52540, decode.loss_ce: 0.1839, decode.acc_seg: 92.4122, loss: 0.1839 +2023-03-04 09:33:43,148 - mmseg - INFO - Iter [137950/160000] lr: 3.750e-05, eta: 1:20:16, time: 0.193, data_time: 0.008, memory: 52540, decode.loss_ce: 0.1848, decode.acc_seg: 92.3507, loss: 0.1848 +2023-03-04 09:33:52,710 - mmseg - INFO - Exp name: ablation_segformer_mit_b2_segformer_head_unet_fc_small_multi_step_ade_pretrained_freeze_embed_160k_ade20k151_finetune_ema_t50.py +2023-03-04 09:33:52,710 - mmseg - INFO - Iter [138000/160000] lr: 3.750e-05, eta: 1:20:05, time: 0.191, data_time: 0.008, memory: 52540, decode.loss_ce: 0.1818, decode.acc_seg: 92.4417, loss: 0.1818 +2023-03-04 09:34:02,178 - mmseg - INFO - Iter [138050/160000] lr: 3.750e-05, eta: 1:19:54, time: 0.189, data_time: 0.008, memory: 52540, decode.loss_ce: 0.1920, decode.acc_seg: 92.1941, loss: 0.1920 +2023-03-04 09:34:11,733 - mmseg - INFO - Iter [138100/160000] lr: 3.750e-05, eta: 1:19:43, time: 0.191, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1820, decode.acc_seg: 92.3204, loss: 0.1820 +2023-03-04 09:34:21,146 - mmseg - INFO - Iter [138150/160000] lr: 3.750e-05, eta: 1:19:32, time: 0.188, data_time: 0.008, memory: 52540, decode.loss_ce: 0.1818, decode.acc_seg: 92.4220, loss: 0.1818 +2023-03-04 09:34:33,209 - mmseg - INFO - Iter [138200/160000] lr: 3.750e-05, eta: 1:19:21, time: 0.241, data_time: 0.057, memory: 52540, decode.loss_ce: 0.1875, decode.acc_seg: 92.3383, loss: 0.1875 +2023-03-04 09:34:42,756 - mmseg - INFO - Iter [138250/160000] lr: 3.750e-05, eta: 1:19:10, time: 0.191, data_time: 0.008, memory: 52540, decode.loss_ce: 0.1870, decode.acc_seg: 92.2851, loss: 0.1870 +2023-03-04 09:34:52,488 - mmseg - INFO - Iter [138300/160000] lr: 3.750e-05, eta: 1:18:59, time: 0.195, data_time: 0.008, memory: 52540, decode.loss_ce: 0.1909, decode.acc_seg: 92.1763, loss: 0.1909 +2023-03-04 09:35:01,953 - mmseg - INFO - Iter [138350/160000] lr: 3.750e-05, eta: 1:18:48, time: 0.189, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1889, decode.acc_seg: 92.2195, loss: 0.1889 +2023-03-04 09:35:11,733 - mmseg - INFO - Iter [138400/160000] lr: 3.750e-05, eta: 1:18:37, time: 0.196, data_time: 0.008, memory: 52540, decode.loss_ce: 0.1837, decode.acc_seg: 92.4558, loss: 0.1837 +2023-03-04 09:35:21,420 - mmseg - INFO - Iter [138450/160000] lr: 3.750e-05, eta: 1:18:25, time: 0.194, data_time: 0.008, memory: 52540, decode.loss_ce: 0.1914, decode.acc_seg: 92.0857, loss: 0.1914 +2023-03-04 09:35:31,017 - mmseg - INFO - Iter [138500/160000] lr: 3.750e-05, eta: 1:18:14, time: 0.192, data_time: 0.008, memory: 52540, decode.loss_ce: 0.1891, decode.acc_seg: 92.1319, loss: 0.1891 +2023-03-04 09:35:40,638 - mmseg - INFO - Iter [138550/160000] lr: 3.750e-05, eta: 1:18:03, time: 0.192, data_time: 0.008, memory: 52540, decode.loss_ce: 0.1822, decode.acc_seg: 92.5954, loss: 0.1822 +2023-03-04 09:35:50,187 - mmseg - INFO - Iter [138600/160000] lr: 3.750e-05, eta: 1:17:52, time: 0.191, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1817, decode.acc_seg: 92.5569, loss: 0.1817 +2023-03-04 09:35:59,968 - mmseg - INFO - Iter [138650/160000] lr: 3.750e-05, eta: 1:17:41, time: 0.196, data_time: 0.008, memory: 52540, decode.loss_ce: 0.1877, decode.acc_seg: 92.4043, loss: 0.1877 +2023-03-04 09:36:09,565 - mmseg - INFO - Iter [138700/160000] lr: 3.750e-05, eta: 1:17:30, time: 0.192, data_time: 0.008, memory: 52540, decode.loss_ce: 0.1901, decode.acc_seg: 92.1886, loss: 0.1901 +2023-03-04 09:36:19,148 - mmseg - INFO - Iter [138750/160000] lr: 3.750e-05, eta: 1:17:19, time: 0.191, data_time: 0.008, memory: 52540, decode.loss_ce: 0.1936, decode.acc_seg: 92.2278, loss: 0.1936 +2023-03-04 09:36:28,952 - mmseg - INFO - Iter [138800/160000] lr: 3.750e-05, eta: 1:17:08, time: 0.196, data_time: 0.008, memory: 52540, decode.loss_ce: 0.1879, decode.acc_seg: 92.3604, loss: 0.1879 +2023-03-04 09:36:40,965 - mmseg - INFO - Iter [138850/160000] lr: 3.750e-05, eta: 1:16:57, time: 0.240, data_time: 0.054, memory: 52540, decode.loss_ce: 0.1902, decode.acc_seg: 92.2567, loss: 0.1902 +2023-03-04 09:36:50,400 - mmseg - INFO - Iter [138900/160000] lr: 3.750e-05, eta: 1:16:46, time: 0.189, data_time: 0.008, memory: 52540, decode.loss_ce: 0.1849, decode.acc_seg: 92.3818, loss: 0.1849 +2023-03-04 09:37:00,099 - mmseg - INFO - Iter [138950/160000] lr: 3.750e-05, eta: 1:16:35, time: 0.194, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1926, decode.acc_seg: 92.1237, loss: 0.1926 +2023-03-04 09:37:09,900 - mmseg - INFO - Exp name: ablation_segformer_mit_b2_segformer_head_unet_fc_small_multi_step_ade_pretrained_freeze_embed_160k_ade20k151_finetune_ema_t50.py +2023-03-04 09:37:09,900 - mmseg - INFO - Iter [139000/160000] lr: 3.750e-05, eta: 1:16:24, time: 0.196, data_time: 0.008, memory: 52540, decode.loss_ce: 0.1792, decode.acc_seg: 92.5206, loss: 0.1792 +2023-03-04 09:37:19,461 - mmseg - INFO - Iter [139050/160000] lr: 3.750e-05, eta: 1:16:12, time: 0.191, data_time: 0.008, memory: 52540, decode.loss_ce: 0.1908, decode.acc_seg: 92.3069, loss: 0.1908 +2023-03-04 09:37:29,053 - mmseg - INFO - Iter [139100/160000] lr: 3.750e-05, eta: 1:16:01, time: 0.192, data_time: 0.008, memory: 52540, decode.loss_ce: 0.1809, decode.acc_seg: 92.4392, loss: 0.1809 +2023-03-04 09:37:38,759 - mmseg - INFO - Iter [139150/160000] lr: 3.750e-05, eta: 1:15:50, time: 0.194, data_time: 0.008, memory: 52540, decode.loss_ce: 0.1828, decode.acc_seg: 92.5424, loss: 0.1828 +2023-03-04 09:37:48,304 - mmseg - INFO - Iter [139200/160000] lr: 3.750e-05, eta: 1:15:39, time: 0.191, data_time: 0.008, memory: 52540, decode.loss_ce: 0.1865, decode.acc_seg: 92.3690, loss: 0.1865 +2023-03-04 09:37:57,864 - mmseg - INFO - Iter [139250/160000] lr: 3.750e-05, eta: 1:15:28, time: 0.191, data_time: 0.008, memory: 52540, decode.loss_ce: 0.1839, decode.acc_seg: 92.3579, loss: 0.1839 +2023-03-04 09:38:07,602 - mmseg - INFO - Iter [139300/160000] lr: 3.750e-05, eta: 1:15:17, time: 0.195, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1916, decode.acc_seg: 92.0180, loss: 0.1916 +2023-03-04 09:38:17,081 - mmseg - INFO - Iter [139350/160000] lr: 3.750e-05, eta: 1:15:06, time: 0.190, data_time: 0.008, memory: 52540, decode.loss_ce: 0.1861, decode.acc_seg: 92.3023, loss: 0.1861 +2023-03-04 09:38:27,149 - mmseg - INFO - Iter [139400/160000] lr: 3.750e-05, eta: 1:14:55, time: 0.201, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1895, decode.acc_seg: 92.1761, loss: 0.1895 +2023-03-04 09:38:36,900 - mmseg - INFO - Iter [139450/160000] lr: 3.750e-05, eta: 1:14:44, time: 0.195, data_time: 0.008, memory: 52540, decode.loss_ce: 0.1836, decode.acc_seg: 92.4743, loss: 0.1836 +2023-03-04 09:38:49,132 - mmseg - INFO - Iter [139500/160000] lr: 3.750e-05, eta: 1:14:33, time: 0.245, data_time: 0.056, memory: 52540, decode.loss_ce: 0.1831, decode.acc_seg: 92.3243, loss: 0.1831 +2023-03-04 09:38:59,071 - mmseg - INFO - Iter [139550/160000] lr: 3.750e-05, eta: 1:14:22, time: 0.199, data_time: 0.008, memory: 52540, decode.loss_ce: 0.1803, decode.acc_seg: 92.5612, loss: 0.1803 +2023-03-04 09:39:08,680 - mmseg - INFO - Iter [139600/160000] lr: 3.750e-05, eta: 1:14:11, time: 0.192, data_time: 0.008, memory: 52540, decode.loss_ce: 0.1907, decode.acc_seg: 92.0656, loss: 0.1907 +2023-03-04 09:39:18,469 - mmseg - INFO - Iter [139650/160000] lr: 3.750e-05, eta: 1:14:00, time: 0.196, data_time: 0.008, memory: 52540, decode.loss_ce: 0.1854, decode.acc_seg: 92.4224, loss: 0.1854 +2023-03-04 09:39:28,146 - mmseg - INFO - Iter [139700/160000] lr: 3.750e-05, eta: 1:13:49, time: 0.194, data_time: 0.008, memory: 52540, decode.loss_ce: 0.1800, decode.acc_seg: 92.6748, loss: 0.1800 +2023-03-04 09:39:37,749 - mmseg - INFO - Iter [139750/160000] lr: 3.750e-05, eta: 1:13:38, time: 0.192, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1877, decode.acc_seg: 92.2014, loss: 0.1877 +2023-03-04 09:39:47,415 - mmseg - INFO - Iter [139800/160000] lr: 3.750e-05, eta: 1:13:26, time: 0.194, data_time: 0.008, memory: 52540, decode.loss_ce: 0.1856, decode.acc_seg: 92.3269, loss: 0.1856 +2023-03-04 09:39:57,038 - mmseg - INFO - Iter [139850/160000] lr: 3.750e-05, eta: 1:13:15, time: 0.192, data_time: 0.008, memory: 52540, decode.loss_ce: 0.1929, decode.acc_seg: 92.1631, loss: 0.1929 +2023-03-04 09:40:06,558 - mmseg - INFO - Iter [139900/160000] lr: 3.750e-05, eta: 1:13:04, time: 0.190, data_time: 0.008, memory: 52540, decode.loss_ce: 0.1867, decode.acc_seg: 92.3405, loss: 0.1867 +2023-03-04 09:40:16,089 - mmseg - INFO - Iter [139950/160000] lr: 3.750e-05, eta: 1:12:53, time: 0.191, data_time: 0.008, memory: 52540, decode.loss_ce: 0.1916, decode.acc_seg: 92.1334, loss: 0.1916 +2023-03-04 09:40:25,519 - mmseg - INFO - Exp name: ablation_segformer_mit_b2_segformer_head_unet_fc_small_multi_step_ade_pretrained_freeze_embed_160k_ade20k151_finetune_ema_t50.py +2023-03-04 09:40:25,519 - mmseg - INFO - Iter [140000/160000] lr: 3.750e-05, eta: 1:12:42, time: 0.189, data_time: 0.008, memory: 52540, decode.loss_ce: 0.1875, decode.acc_seg: 92.2701, loss: 0.1875 +2023-03-04 09:40:35,381 - mmseg - INFO - Iter [140050/160000] lr: 3.750e-05, eta: 1:12:31, time: 0.197, data_time: 0.008, memory: 52540, decode.loss_ce: 0.1796, decode.acc_seg: 92.5401, loss: 0.1796 +2023-03-04 09:40:47,872 - mmseg - INFO - Iter [140100/160000] lr: 3.750e-05, eta: 1:12:20, time: 0.250, data_time: 0.056, memory: 52540, decode.loss_ce: 0.1814, decode.acc_seg: 92.5489, loss: 0.1814 +2023-03-04 09:40:57,684 - mmseg - INFO - Iter [140150/160000] lr: 3.750e-05, eta: 1:12:09, time: 0.196, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1834, decode.acc_seg: 92.5996, loss: 0.1834 +2023-03-04 09:41:07,210 - mmseg - INFO - Iter [140200/160000] lr: 3.750e-05, eta: 1:11:58, time: 0.191, data_time: 0.008, memory: 52540, decode.loss_ce: 0.1808, decode.acc_seg: 92.5729, loss: 0.1808 +2023-03-04 09:41:16,666 - mmseg - INFO - Iter [140250/160000] lr: 3.750e-05, eta: 1:11:47, time: 0.189, data_time: 0.008, memory: 52540, decode.loss_ce: 0.1929, decode.acc_seg: 92.1735, loss: 0.1929 +2023-03-04 09:41:26,297 - mmseg - INFO - Iter [140300/160000] lr: 3.750e-05, eta: 1:11:36, time: 0.193, data_time: 0.008, memory: 52540, decode.loss_ce: 0.1852, decode.acc_seg: 92.4102, loss: 0.1852 +2023-03-04 09:41:35,822 - mmseg - INFO - Iter [140350/160000] lr: 3.750e-05, eta: 1:11:25, time: 0.191, data_time: 0.008, memory: 52540, decode.loss_ce: 0.1848, decode.acc_seg: 92.3595, loss: 0.1848 +2023-03-04 09:41:45,266 - mmseg - INFO - Iter [140400/160000] lr: 3.750e-05, eta: 1:11:14, time: 0.189, data_time: 0.008, memory: 52540, decode.loss_ce: 0.1821, decode.acc_seg: 92.5490, loss: 0.1821 +2023-03-04 09:41:54,727 - mmseg - INFO - Iter [140450/160000] lr: 3.750e-05, eta: 1:11:03, time: 0.189, data_time: 0.008, memory: 52540, decode.loss_ce: 0.1759, decode.acc_seg: 92.7724, loss: 0.1759 +2023-03-04 09:42:04,354 - mmseg - INFO - Iter [140500/160000] lr: 3.750e-05, eta: 1:10:52, time: 0.193, data_time: 0.008, memory: 52540, decode.loss_ce: 0.1863, decode.acc_seg: 92.3000, loss: 0.1863 +2023-03-04 09:42:14,234 - mmseg - INFO - Iter [140550/160000] lr: 3.750e-05, eta: 1:10:41, time: 0.198, data_time: 0.008, memory: 52540, decode.loss_ce: 0.1851, decode.acc_seg: 92.2592, loss: 0.1851 +2023-03-04 09:42:23,796 - mmseg - INFO - Iter [140600/160000] lr: 3.750e-05, eta: 1:10:29, time: 0.191, data_time: 0.008, memory: 52540, decode.loss_ce: 0.1862, decode.acc_seg: 92.2772, loss: 0.1862 +2023-03-04 09:42:33,443 - mmseg - INFO - Iter [140650/160000] lr: 3.750e-05, eta: 1:10:18, time: 0.193, data_time: 0.008, memory: 52540, decode.loss_ce: 0.1858, decode.acc_seg: 92.1645, loss: 0.1858 +2023-03-04 09:42:42,863 - mmseg - INFO - Iter [140700/160000] lr: 3.750e-05, eta: 1:10:07, time: 0.188, data_time: 0.008, memory: 52540, decode.loss_ce: 0.1934, decode.acc_seg: 92.1189, loss: 0.1934 +2023-03-04 09:42:54,966 - mmseg - INFO - Iter [140750/160000] lr: 3.750e-05, eta: 1:09:57, time: 0.242, data_time: 0.056, memory: 52540, decode.loss_ce: 0.1796, decode.acc_seg: 92.7723, loss: 0.1796 +2023-03-04 09:43:04,679 - mmseg - INFO - Iter [140800/160000] lr: 3.750e-05, eta: 1:09:45, time: 0.194, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1890, decode.acc_seg: 92.3110, loss: 0.1890 +2023-03-04 09:43:14,467 - mmseg - INFO - Iter [140850/160000] lr: 3.750e-05, eta: 1:09:34, time: 0.196, data_time: 0.008, memory: 52540, decode.loss_ce: 0.1788, decode.acc_seg: 92.6143, loss: 0.1788 +2023-03-04 09:43:24,143 - mmseg - INFO - Iter [140900/160000] lr: 3.750e-05, eta: 1:09:23, time: 0.194, data_time: 0.008, memory: 52540, decode.loss_ce: 0.1825, decode.acc_seg: 92.5492, loss: 0.1825 +2023-03-04 09:43:33,679 - mmseg - INFO - Iter [140950/160000] lr: 3.750e-05, eta: 1:09:12, time: 0.191, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1808, decode.acc_seg: 92.5333, loss: 0.1808 +2023-03-04 09:43:43,284 - mmseg - INFO - Exp name: ablation_segformer_mit_b2_segformer_head_unet_fc_small_multi_step_ade_pretrained_freeze_embed_160k_ade20k151_finetune_ema_t50.py +2023-03-04 09:43:43,284 - mmseg - INFO - Iter [141000/160000] lr: 3.750e-05, eta: 1:09:01, time: 0.192, data_time: 0.008, memory: 52540, decode.loss_ce: 0.1868, decode.acc_seg: 92.4261, loss: 0.1868 +2023-03-04 09:43:52,802 - mmseg - INFO - Iter [141050/160000] lr: 3.750e-05, eta: 1:08:50, time: 0.190, data_time: 0.008, memory: 52540, decode.loss_ce: 0.1862, decode.acc_seg: 92.4311, loss: 0.1862 +2023-03-04 09:44:02,597 - mmseg - INFO - Iter [141100/160000] lr: 3.750e-05, eta: 1:08:39, time: 0.196, data_time: 0.008, memory: 52540, decode.loss_ce: 0.1827, decode.acc_seg: 92.4006, loss: 0.1827 +2023-03-04 09:44:12,321 - mmseg - INFO - Iter [141150/160000] lr: 3.750e-05, eta: 1:08:28, time: 0.194, data_time: 0.008, memory: 52540, decode.loss_ce: 0.1769, decode.acc_seg: 92.7225, loss: 0.1769 +2023-03-04 09:44:22,221 - mmseg - INFO - Iter [141200/160000] lr: 3.750e-05, eta: 1:08:17, time: 0.198, data_time: 0.008, memory: 52540, decode.loss_ce: 0.1899, decode.acc_seg: 92.2831, loss: 0.1899 +2023-03-04 09:44:31,697 - mmseg - INFO - Iter [141250/160000] lr: 3.750e-05, eta: 1:08:06, time: 0.189, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1764, decode.acc_seg: 92.6795, loss: 0.1764 +2023-03-04 09:44:41,232 - mmseg - INFO - Iter [141300/160000] lr: 3.750e-05, eta: 1:07:55, time: 0.191, data_time: 0.008, memory: 52540, decode.loss_ce: 0.1861, decode.acc_seg: 92.3852, loss: 0.1861 +2023-03-04 09:44:53,246 - mmseg - INFO - Iter [141350/160000] lr: 3.750e-05, eta: 1:07:44, time: 0.240, data_time: 0.056, memory: 52540, decode.loss_ce: 0.1939, decode.acc_seg: 91.9792, loss: 0.1939 +2023-03-04 09:45:02,734 - mmseg - INFO - Iter [141400/160000] lr: 3.750e-05, eta: 1:07:33, time: 0.190, data_time: 0.008, memory: 52540, decode.loss_ce: 0.1837, decode.acc_seg: 92.4626, loss: 0.1837 +2023-03-04 09:45:12,161 - mmseg - INFO - Iter [141450/160000] lr: 3.750e-05, eta: 1:07:22, time: 0.189, data_time: 0.008, memory: 52540, decode.loss_ce: 0.1834, decode.acc_seg: 92.4607, loss: 0.1834 +2023-03-04 09:45:21,644 - mmseg - INFO - Iter [141500/160000] lr: 3.750e-05, eta: 1:07:11, time: 0.190, data_time: 0.008, memory: 52540, decode.loss_ce: 0.1874, decode.acc_seg: 92.2163, loss: 0.1874 +2023-03-04 09:45:31,270 - mmseg - INFO - Iter [141550/160000] lr: 3.750e-05, eta: 1:07:00, time: 0.193, data_time: 0.008, memory: 52540, decode.loss_ce: 0.1800, decode.acc_seg: 92.3880, loss: 0.1800 +2023-03-04 09:45:40,877 - mmseg - INFO - Iter [141600/160000] lr: 3.750e-05, eta: 1:06:49, time: 0.192, data_time: 0.008, memory: 52540, decode.loss_ce: 0.1870, decode.acc_seg: 92.4299, loss: 0.1870 +2023-03-04 09:45:50,385 - mmseg - INFO - Iter [141650/160000] lr: 3.750e-05, eta: 1:06:38, time: 0.190, data_time: 0.008, memory: 52540, decode.loss_ce: 0.1869, decode.acc_seg: 92.3328, loss: 0.1869 +2023-03-04 09:45:59,919 - mmseg - INFO - Iter [141700/160000] lr: 3.750e-05, eta: 1:06:27, time: 0.191, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1855, decode.acc_seg: 92.3614, loss: 0.1855 +2023-03-04 09:46:09,448 - mmseg - INFO - Iter [141750/160000] lr: 3.750e-05, eta: 1:06:15, time: 0.191, data_time: 0.008, memory: 52540, decode.loss_ce: 0.1896, decode.acc_seg: 92.1296, loss: 0.1896 +2023-03-04 09:46:18,925 - mmseg - INFO - Iter [141800/160000] lr: 3.750e-05, eta: 1:06:04, time: 0.190, data_time: 0.008, memory: 52540, decode.loss_ce: 0.1915, decode.acc_seg: 92.2390, loss: 0.1915 +2023-03-04 09:46:28,806 - mmseg - INFO - Iter [141850/160000] lr: 3.750e-05, eta: 1:05:53, time: 0.198, data_time: 0.008, memory: 52540, decode.loss_ce: 0.1864, decode.acc_seg: 92.3706, loss: 0.1864 +2023-03-04 09:46:38,378 - mmseg - INFO - Iter [141900/160000] lr: 3.750e-05, eta: 1:05:42, time: 0.191, data_time: 0.008, memory: 52540, decode.loss_ce: 0.1871, decode.acc_seg: 92.3301, loss: 0.1871 +2023-03-04 09:46:47,898 - mmseg - INFO - Iter [141950/160000] lr: 3.750e-05, eta: 1:05:31, time: 0.190, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1830, decode.acc_seg: 92.4414, loss: 0.1830 +2023-03-04 09:47:00,130 - mmseg - INFO - Exp name: ablation_segformer_mit_b2_segformer_head_unet_fc_small_multi_step_ade_pretrained_freeze_embed_160k_ade20k151_finetune_ema_t50.py +2023-03-04 09:47:00,130 - mmseg - INFO - Iter [142000/160000] lr: 3.750e-05, eta: 1:05:21, time: 0.245, data_time: 0.056, memory: 52540, decode.loss_ce: 0.1872, decode.acc_seg: 92.4463, loss: 0.1872 +2023-03-04 09:47:09,861 - mmseg - INFO - Iter [142050/160000] lr: 3.750e-05, eta: 1:05:09, time: 0.195, data_time: 0.008, memory: 52540, decode.loss_ce: 0.1822, decode.acc_seg: 92.5089, loss: 0.1822 +2023-03-04 09:47:19,490 - mmseg - INFO - Iter [142100/160000] lr: 3.750e-05, eta: 1:04:58, time: 0.193, data_time: 0.008, memory: 52540, decode.loss_ce: 0.1920, decode.acc_seg: 92.2696, loss: 0.1920 +2023-03-04 09:47:29,137 - mmseg - INFO - Iter [142150/160000] lr: 3.750e-05, eta: 1:04:47, time: 0.193, data_time: 0.008, memory: 52540, decode.loss_ce: 0.1785, decode.acc_seg: 92.4657, loss: 0.1785 +2023-03-04 09:47:38,611 - mmseg - INFO - Iter [142200/160000] lr: 3.750e-05, eta: 1:04:36, time: 0.189, data_time: 0.008, memory: 52540, decode.loss_ce: 0.1871, decode.acc_seg: 92.3932, loss: 0.1871 +2023-03-04 09:47:48,205 - mmseg - INFO - Iter [142250/160000] lr: 3.750e-05, eta: 1:04:25, time: 0.192, data_time: 0.008, memory: 52540, decode.loss_ce: 0.1840, decode.acc_seg: 92.4027, loss: 0.1840 +2023-03-04 09:47:57,928 - mmseg - INFO - Iter [142300/160000] lr: 3.750e-05, eta: 1:04:14, time: 0.194, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1851, decode.acc_seg: 92.3393, loss: 0.1851 +2023-03-04 09:48:07,375 - mmseg - INFO - Iter [142350/160000] lr: 3.750e-05, eta: 1:04:03, time: 0.189, data_time: 0.008, memory: 52540, decode.loss_ce: 0.1830, decode.acc_seg: 92.4913, loss: 0.1830 +2023-03-04 09:48:17,023 - mmseg - INFO - Iter [142400/160000] lr: 3.750e-05, eta: 1:03:52, time: 0.193, data_time: 0.008, memory: 52540, decode.loss_ce: 0.1887, decode.acc_seg: 92.2645, loss: 0.1887 +2023-03-04 09:48:26,585 - mmseg - INFO - Iter [142450/160000] lr: 3.750e-05, eta: 1:03:41, time: 0.191, data_time: 0.008, memory: 52540, decode.loss_ce: 0.1877, decode.acc_seg: 92.2653, loss: 0.1877 +2023-03-04 09:48:36,005 - mmseg - INFO - Iter [142500/160000] lr: 3.750e-05, eta: 1:03:30, time: 0.188, data_time: 0.008, memory: 52540, decode.loss_ce: 0.1856, decode.acc_seg: 92.2830, loss: 0.1856 +2023-03-04 09:48:45,563 - mmseg - INFO - Iter [142550/160000] lr: 3.750e-05, eta: 1:03:19, time: 0.191, data_time: 0.008, memory: 52540, decode.loss_ce: 0.1900, decode.acc_seg: 92.2513, loss: 0.1900 +2023-03-04 09:48:55,256 - mmseg - INFO - Iter [142600/160000] lr: 3.750e-05, eta: 1:03:08, time: 0.194, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1809, decode.acc_seg: 92.5783, loss: 0.1809 +2023-03-04 09:49:07,169 - mmseg - INFO - Iter [142650/160000] lr: 3.750e-05, eta: 1:02:57, time: 0.238, data_time: 0.054, memory: 52540, decode.loss_ce: 0.1879, decode.acc_seg: 92.1684, loss: 0.1879 +2023-03-04 09:49:16,912 - mmseg - INFO - Iter [142700/160000] lr: 3.750e-05, eta: 1:02:46, time: 0.195, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1869, decode.acc_seg: 92.3452, loss: 0.1869 +2023-03-04 09:49:26,446 - mmseg - INFO - Iter [142750/160000] lr: 3.750e-05, eta: 1:02:35, time: 0.191, data_time: 0.008, memory: 52540, decode.loss_ce: 0.1789, decode.acc_seg: 92.6124, loss: 0.1789 +2023-03-04 09:49:36,461 - mmseg - INFO - Iter [142800/160000] lr: 3.750e-05, eta: 1:02:24, time: 0.200, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1929, decode.acc_seg: 92.0594, loss: 0.1929 +2023-03-04 09:49:46,294 - mmseg - INFO - Iter [142850/160000] lr: 3.750e-05, eta: 1:02:13, time: 0.197, data_time: 0.008, memory: 52540, decode.loss_ce: 0.1887, decode.acc_seg: 92.3102, loss: 0.1887 +2023-03-04 09:49:55,910 - mmseg - INFO - Iter [142900/160000] lr: 3.750e-05, eta: 1:02:02, time: 0.193, data_time: 0.008, memory: 52540, decode.loss_ce: 0.2005, decode.acc_seg: 91.9804, loss: 0.2005 +2023-03-04 09:50:05,508 - mmseg - INFO - Iter [142950/160000] lr: 3.750e-05, eta: 1:01:51, time: 0.192, data_time: 0.008, memory: 52540, decode.loss_ce: 0.1845, decode.acc_seg: 92.4060, loss: 0.1845 +2023-03-04 09:50:15,192 - mmseg - INFO - Exp name: ablation_segformer_mit_b2_segformer_head_unet_fc_small_multi_step_ade_pretrained_freeze_embed_160k_ade20k151_finetune_ema_t50.py +2023-03-04 09:50:15,193 - mmseg - INFO - Iter [143000/160000] lr: 3.750e-05, eta: 1:01:40, time: 0.194, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1905, decode.acc_seg: 92.1944, loss: 0.1905 +2023-03-04 09:50:24,665 - mmseg - INFO - Iter [143050/160000] lr: 3.750e-05, eta: 1:01:29, time: 0.189, data_time: 0.008, memory: 52540, decode.loss_ce: 0.1816, decode.acc_seg: 92.5157, loss: 0.1816 +2023-03-04 09:50:34,200 - mmseg - INFO - Iter [143100/160000] lr: 3.750e-05, eta: 1:01:18, time: 0.191, data_time: 0.008, memory: 52540, decode.loss_ce: 0.1845, decode.acc_seg: 92.4530, loss: 0.1845 +2023-03-04 09:50:43,806 - mmseg - INFO - Iter [143150/160000] lr: 3.750e-05, eta: 1:01:07, time: 0.192, data_time: 0.008, memory: 52540, decode.loss_ce: 0.1886, decode.acc_seg: 92.2820, loss: 0.1886 +2023-03-04 09:50:53,449 - mmseg - INFO - Iter [143200/160000] lr: 3.750e-05, eta: 1:00:56, time: 0.193, data_time: 0.008, memory: 52540, decode.loss_ce: 0.1880, decode.acc_seg: 92.3048, loss: 0.1880 +2023-03-04 09:51:05,621 - mmseg - INFO - Iter [143250/160000] lr: 3.750e-05, eta: 1:00:45, time: 0.243, data_time: 0.054, memory: 52540, decode.loss_ce: 0.1859, decode.acc_seg: 92.3501, loss: 0.1859 +2023-03-04 09:51:15,301 - mmseg - INFO - Iter [143300/160000] lr: 3.750e-05, eta: 1:00:34, time: 0.194, data_time: 0.008, memory: 52540, decode.loss_ce: 0.1812, decode.acc_seg: 92.5295, loss: 0.1812 +2023-03-04 09:51:24,842 - mmseg - INFO - Iter [143350/160000] lr: 3.750e-05, eta: 1:00:23, time: 0.191, data_time: 0.008, memory: 52540, decode.loss_ce: 0.1917, decode.acc_seg: 92.1972, loss: 0.1917 +2023-03-04 09:51:34,330 - mmseg - INFO - Iter [143400/160000] lr: 3.750e-05, eta: 1:00:12, time: 0.190, data_time: 0.008, memory: 52540, decode.loss_ce: 0.1882, decode.acc_seg: 92.4237, loss: 0.1882 +2023-03-04 09:51:43,910 - mmseg - INFO - Iter [143450/160000] lr: 3.750e-05, eta: 1:00:01, time: 0.192, data_time: 0.008, memory: 52540, decode.loss_ce: 0.1834, decode.acc_seg: 92.4601, loss: 0.1834 +2023-03-04 09:51:53,430 - mmseg - INFO - Iter [143500/160000] lr: 3.750e-05, eta: 0:59:50, time: 0.190, data_time: 0.008, memory: 52540, decode.loss_ce: 0.1959, decode.acc_seg: 92.1009, loss: 0.1959 +2023-03-04 09:52:03,153 - mmseg - INFO - Iter [143550/160000] lr: 3.750e-05, eta: 0:59:39, time: 0.194, data_time: 0.008, memory: 52540, decode.loss_ce: 0.1912, decode.acc_seg: 92.0187, loss: 0.1912 +2023-03-04 09:52:12,730 - mmseg - INFO - Iter [143600/160000] lr: 3.750e-05, eta: 0:59:28, time: 0.192, data_time: 0.008, memory: 52540, decode.loss_ce: 0.1904, decode.acc_seg: 92.2273, loss: 0.1904 +2023-03-04 09:52:22,347 - mmseg - INFO - Iter [143650/160000] lr: 3.750e-05, eta: 0:59:17, time: 0.192, data_time: 0.008, memory: 52540, decode.loss_ce: 0.1801, decode.acc_seg: 92.4694, loss: 0.1801 +2023-03-04 09:52:32,090 - mmseg - INFO - Iter [143700/160000] lr: 3.750e-05, eta: 0:59:06, time: 0.195, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1829, decode.acc_seg: 92.4496, loss: 0.1829 +2023-03-04 09:52:41,546 - mmseg - INFO - Iter [143750/160000] lr: 3.750e-05, eta: 0:58:55, time: 0.189, data_time: 0.008, memory: 52540, decode.loss_ce: 0.1883, decode.acc_seg: 92.3134, loss: 0.1883 +2023-03-04 09:52:51,515 - mmseg - INFO - Iter [143800/160000] lr: 3.750e-05, eta: 0:58:44, time: 0.199, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1907, decode.acc_seg: 92.1638, loss: 0.1907 +2023-03-04 09:53:01,342 - mmseg - INFO - Iter [143850/160000] lr: 3.750e-05, eta: 0:58:33, time: 0.197, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1902, decode.acc_seg: 92.3608, loss: 0.1902 +2023-03-04 09:53:13,369 - mmseg - INFO - Iter [143900/160000] lr: 3.750e-05, eta: 0:58:22, time: 0.241, data_time: 0.055, memory: 52540, decode.loss_ce: 0.1861, decode.acc_seg: 92.2860, loss: 0.1861 +2023-03-04 09:53:23,041 - mmseg - INFO - Iter [143950/160000] lr: 3.750e-05, eta: 0:58:11, time: 0.193, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1892, decode.acc_seg: 92.3746, loss: 0.1892 +2023-03-04 09:53:32,909 - mmseg - INFO - Swap parameters (after train) after iter [144000] +2023-03-04 09:53:32,922 - mmseg - INFO - Saving checkpoint at 144000 iterations +2023-03-04 09:53:34,090 - mmseg - INFO - Exp name: ablation_segformer_mit_b2_segformer_head_unet_fc_small_multi_step_ade_pretrained_freeze_embed_160k_ade20k151_finetune_ema_t50.py +2023-03-04 09:53:34,090 - mmseg - INFO - Iter [144000/160000] lr: 3.750e-05, eta: 0:58:00, time: 0.221, data_time: 0.008, memory: 52540, decode.loss_ce: 0.1816, decode.acc_seg: 92.5700, loss: 0.1816 +2023-03-04 09:59:27,043 - mmseg - INFO - per class results: +2023-03-04 09:59:27,051 - mmseg - INFO - ++---------------------+-------------------------------------------------------------------+ +| Class | IoU 0,5,10,15,20,25,30,35,40,45,49 | ++---------------------+-------------------------------------------------------------------+ +| background | nan,nan,nan,nan,nan,nan,nan,nan,nan,nan,nan | +| wall | 77.47,77.51,77.54,77.56,77.58,77.6,77.62,77.63,77.63,77.63,77.63 | +| building | 81.68,81.68,81.7,81.72,81.73,81.74,81.75,81.74,81.75,81.73,81.72 | +| sky | 94.4,94.41,94.41,94.42,94.42,94.42,94.43,94.43,94.43,94.43,94.43 | +| floor | 81.74,81.75,81.75,81.74,81.76,81.75,81.76,81.74,81.77,81.76,81.76 | +| tree | 74.46,74.48,74.51,74.52,74.52,74.56,74.58,74.56,74.58,74.55,74.55 | +| ceiling | 85.07,85.12,85.17,85.2,85.2,85.22,85.26,85.24,85.26,85.25,85.26 | +| road | 82.12,82.11,82.04,82.05,82.05,82.04,82.03,82.0,82.06,82.0,82.01 | +| bed | 87.86,87.93,88.0,87.95,87.97,88.0,88.01,87.98,87.97,87.97,87.97 | +| windowpane | 60.74,60.71,60.74,60.67,60.73,60.71,60.74,60.77,60.74,60.77,60.77 | +| grass | 67.48,67.48,67.5,67.52,67.52,67.55,67.54,67.59,67.53,67.6,67.61 | +| cabinet | 61.13,61.3,61.37,61.52,61.46,61.62,61.69,61.78,61.75,61.75,61.73 | +| sidewalk | 64.14,64.12,64.02,64.01,64.01,63.97,63.96,63.93,63.96,63.89,63.9 | +| person | 79.99,80.04,80.02,80.06,80.11,80.1,80.09,80.13,80.11,80.11,80.11 | +| earth | 36.36,36.38,36.36,36.41,36.31,36.34,36.24,36.21,36.2,36.16,36.15 | +| door | 46.18,46.21,46.27,46.24,46.25,46.26,46.23,46.31,46.26,46.23,46.24 | +| table | 61.96,62.04,62.14,62.23,62.29,62.36,62.4,62.42,62.45,62.43,62.42 | +| mountain | 57.29,57.41,57.61,57.65,57.78,57.77,57.88,57.85,57.96,57.91,57.92 | +| plant | 49.71,49.66,49.58,49.65,49.65,49.62,49.65,49.59,49.61,49.53,49.52 | +| curtain | 74.49,74.52,74.54,74.62,74.63,74.65,74.68,74.68,74.68,74.74,74.75 | +| chair | 57.12,57.15,57.21,57.2,57.18,57.22,57.22,57.17,57.19,57.18,57.15 | +| car | 81.84,81.84,81.89,81.87,81.92,81.93,81.96,81.98,81.96,81.98,82.0 | +| water | 57.45,57.54,57.58,57.65,57.71,57.77,57.82,57.86,57.88,57.91,57.92 | +| painting | 70.39,70.31,70.32,70.19,70.25,70.18,70.25,70.24,70.24,70.28,70.27 | +| sofa | 64.95,65.01,65.16,65.25,65.23,65.4,65.36,65.4,65.38,65.46,65.46 | +| shelf | 44.47,44.5,44.51,44.65,44.55,44.53,44.62,44.58,44.66,44.62,44.62 | +| house | 41.46,41.57,41.63,41.66,41.72,41.75,41.77,41.85,41.92,41.89,41.85 | +| sea | 60.78,60.91,60.97,61.02,61.05,61.17,61.21,61.28,61.29,61.34,61.37 | +| mirror | 66.77,66.89,67.29,67.3,67.42,67.58,67.72,67.72,67.79,67.94,67.99 | +| rug | 65.08,65.15,65.21,65.18,65.27,65.31,65.37,65.33,65.44,65.39,65.37 | +| field | 30.94,30.92,30.9,30.9,30.87,30.85,30.84,30.83,30.84,30.81,30.8 | +| armchair | 37.59,37.63,37.7,37.8,37.78,37.8,37.89,37.89,37.91,37.93,37.97 | +| seat | 65.95,65.9,65.93,66.01,66.05,66.0,65.99,66.06,66.12,66.06,66.1 | +| fence | 40.46,40.17,40.06,39.89,39.79,39.72,39.39,39.38,39.21,39.15,39.07 | +| desk | 47.25,47.31,47.34,47.51,47.49,47.52,47.62,47.51,47.59,47.43,47.37 | +| rock | 37.02,37.11,37.05,37.1,37.1,37.03,36.95,37.04,36.91,37.03,37.0 | +| wardrobe | 57.69,57.68,57.56,57.53,57.5,57.5,57.57,57.75,57.86,57.77,57.79 | +| lamp | 62.77,62.83,62.85,62.92,62.91,62.87,62.87,62.89,62.92,62.89,62.87 | +| bathtub | 76.06,75.84,75.9,75.76,75.72,75.57,75.67,75.43,75.4,75.32,75.32 | +| railing | 33.63,33.61,33.63,33.69,33.61,33.62,33.78,33.81,33.9,33.78,33.76 | +| cushion | 56.66,56.68,56.64,56.64,56.53,56.52,56.48,56.2,56.2,56.11,56.06 | +| base | 22.24,22.35,22.31,22.11,22.16,22.21,22.39,22.29,22.27,22.34,22.35 | +| box | 23.33,23.44,23.51,23.62,23.66,23.73,23.8,23.75,23.9,23.7,23.7 | +| column | 46.11,46.24,46.29,46.38,46.54,46.51,46.58,46.7,46.64,46.89,46.95 | +| signboard | 38.21,38.2,38.24,38.14,38.19,38.19,38.14,38.0,38.06,37.99,37.97 | +| chest of drawers | 36.82,36.99,37.15,37.13,37.2,37.26,37.3,37.1,37.1,37.0,37.01 | +| counter | 32.61,32.92,33.12,33.47,33.61,33.77,33.89,34.02,33.99,34.17,34.21 | +| sand | 42.6,42.68,42.81,42.85,43.09,43.23,43.26,43.42,43.44,43.48,43.48 | +| sink | 68.24,68.25,68.18,68.14,68.11,67.96,68.03,67.99,67.95,67.95,67.92 | +| skyscraper | 50.19,50.2,49.92,50.24,49.99,50.34,49.99,50.08,49.79,49.89,49.83 | +| fireplace | 76.41,76.51,76.44,76.54,76.64,76.54,76.67,76.77,76.73,76.7,76.75 | +| refrigerator | 76.75,77.0,77.21,77.44,77.56,77.6,77.71,77.62,77.8,77.57,77.46 | +| grandstand | 53.55,53.85,54.05,54.17,54.4,54.49,54.68,54.69,54.97,54.86,54.98 | +| path | 22.24,22.25,22.22,22.23,22.17,22.21,22.14,22.14,22.06,22.07,22.08 | +| stairs | 31.51,31.63,31.65,31.66,31.62,31.74,31.7,31.7,31.74,31.69,31.7 | +| runway | 67.12,67.16,67.13,67.15,67.15,67.19,67.12,67.04,67.04,67.04,67.05 | +| case | 46.07,45.95,46.04,46.36,46.32,46.42,46.55,46.76,46.72,46.69,46.73 | +| pool table | 92.1,92.1,92.22,92.25,92.2,92.3,92.24,92.34,92.3,92.38,92.38 | +| pillow | 61.88,61.92,61.83,61.71,61.8,62.0,61.74,61.4,61.55,61.33,61.26 | +| screen door | 70.37,70.42,70.28,70.42,70.31,70.45,70.27,70.31,70.19,70.04,69.87 | +| stairway | 24.13,24.23,24.26,24.42,24.37,24.47,24.34,24.4,24.24,24.44,24.41 | +| river | 11.71,11.72,11.72,11.71,11.69,11.66,11.65,11.64,11.63,11.62,11.62 | +| bridge | 30.76,30.7,30.87,30.84,31.02,31.5,31.89,31.85,31.83,32.26,32.47 | +| bookcase | 46.12,46.22,46.22,46.23,45.97,45.91,45.94,45.84,45.72,45.68,45.55 | +| blind | 39.85,39.75,39.78,39.72,39.65,39.84,39.68,39.87,39.84,39.95,40.02 | +| coffee table | 54.11,53.98,53.91,53.88,53.79,53.54,53.66,53.49,53.32,52.98,52.89 | +| toilet | 84.14,84.1,84.18,84.11,84.08,84.13,84.14,84.15,84.19,84.17,84.17 | +| flower | 38.85,38.86,38.93,39.03,39.05,39.2,39.12,39.38,39.29,39.54,39.58 | +| book | 45.03,45.05,44.94,44.94,44.97,44.99,44.86,44.82,44.85,44.78,44.78 | +| hill | 17.0,17.22,17.03,16.91,16.81,16.73,16.72,16.6,16.88,16.84,16.93 | +| bench | 44.31,44.28,44.42,44.38,44.52,44.56,44.28,44.18,44.42,44.2,44.15 | +| countertop | 56.46,56.62,56.51,56.26,56.4,56.39,56.31,56.33,56.01,55.99,55.93 | +| stove | 72.86,72.99,72.96,73.07,72.97,72.93,73.0,72.93,72.89,72.75,72.69 | +| palm | 49.19,49.12,49.06,49.09,49.17,49.01,49.05,48.96,49.03,49.01,48.94 | +| kitchen island | 47.77,48.46,48.1,49.08,48.6,48.41,48.5,48.38,48.39,47.75,47.75 | +| computer | 61.12,61.19,61.09,61.08,61.09,61.12,61.13,61.05,61.0,60.91,60.87 | +| swivel chair | 45.33,45.31,45.27,45.28,45.14,45.13,45.16,45.1,44.99,45.01,44.92 | +| boat | 71.81,71.97,72.55,73.26,73.41,73.46,73.86,74.05,74.25,74.47,74.68 | +| bar | 24.24,24.26,24.38,24.36,24.44,24.42,24.41,24.46,24.45,24.48,24.48 | +| arcade machine | 70.81,71.6,71.31,72.36,72.32,72.9,73.32,73.86,73.97,73.97,73.97 | +| hovel | 30.0,29.6,29.63,29.54,29.38,29.48,29.27,29.15,29.02,28.71,28.58 | +| bus | 78.74,78.8,78.85,78.84,78.81,78.87,78.96,78.86,78.81,78.87,78.85 | +| towel | 62.3,62.4,62.44,62.52,62.63,62.49,62.54,62.42,62.64,62.58,62.62 | +| light | 55.96,56.09,56.13,56.2,56.39,56.45,56.43,56.43,56.44,56.53,56.54 | +| truck | 19.15,19.03,19.08,19.01,18.96,19.06,18.98,19.0,18.76,18.84,18.78 | +| tower | 7.51,7.44,7.44,7.58,7.78,7.74,7.98,7.98,8.17,8.12,8.11 | +| chandelier | 64.43,64.42,64.5,64.44,64.49,64.43,64.46,64.51,64.52,64.41,64.45 | +| awning | 24.26,24.23,24.46,24.97,24.85,25.14,25.13,25.28,25.2,25.42,25.52 | +| streetlight | 27.85,27.89,27.99,28.04,28.13,28.12,28.2,28.22,28.29,28.29,28.39 | +| booth | 46.88,47.02,47.33,47.45,47.67,47.6,47.37,47.65,47.19,47.11,47.03 | +| television receiver | 64.45,64.44,64.45,64.63,64.58,64.52,64.61,64.57,64.58,64.53,64.45 | +| airplane | 59.69,59.52,59.5,59.48,59.46,59.13,59.1,58.75,58.85,58.65,58.54 | +| dirt track | 20.33,20.57,20.97,21.15,21.59,21.83,21.89,21.86,21.72,21.99,21.84 | +| apparel | 33.39,33.65,33.42,33.63,33.78,33.76,33.85,34.03,33.78,33.91,33.94 | +| pole | 19.32,19.1,19.1,19.22,19.0,18.99,19.04,18.84,18.8,18.87,18.99 | +| land | 3.74,3.71,3.73,3.7,3.76,3.66,3.68,3.71,3.64,3.64,3.64 | +| bannister | 12.38,12.49,12.29,12.34,12.42,12.41,12.28,12.2,12.17,12.2,12.19 | +| escalator | 24.43,24.49,24.5,24.65,24.6,24.58,24.66,24.71,24.5,24.64,24.62 | +| ottoman | 41.86,41.72,42.18,41.59,42.1,41.63,41.94,41.07,41.43,40.86,40.88 | +| bottle | 34.97,34.93,34.68,34.64,34.75,34.63,34.84,34.72,34.81,34.85,34.89 | +| buffet | 42.8,43.49,43.89,44.71,45.35,45.77,46.16,46.42,46.68,46.98,46.98 | +| poster | 22.29,22.23,22.56,22.32,22.33,22.54,22.25,22.42,22.21,22.34,22.15 | +| stage | 13.74,13.72,13.63,13.42,13.49,13.31,13.45,13.38,13.41,13.43,13.45 | +| van | 37.36,37.5,37.49,37.68,37.57,37.58,37.69,37.9,37.95,38.16,38.35 | +| ship | 77.03,77.23,77.18,77.57,77.85,78.61,78.08,78.7,78.06,78.52,78.61 | +| fountain | 19.39,19.64,19.82,20.08,20.29,20.8,21.2,21.5,21.7,21.9,22.12 | +| conveyer belt | 85.18,85.01,84.96,84.83,84.81,84.95,84.83,84.91,84.75,84.9,84.92 | +| canopy | 24.66,24.92,25.4,25.74,25.86,25.85,26.19,26.34,26.43,26.57,26.63 | +| washer | 74.29,74.54,74.29,74.14,74.37,74.29,74.22,74.26,74.35,74.29,74.34 | +| plaything | 20.65,20.68,20.7,20.71,20.86,20.86,20.91,20.88,20.91,20.97,20.96 | +| swimming pool | 73.91,73.85,73.55,73.55,73.71,73.87,73.49,73.81,73.67,73.85,73.72 | +| stool | 44.04,44.35,44.49,44.65,44.71,44.84,44.82,44.97,44.81,44.59,44.61 | +| barrel | 35.84,35.18,35.51,35.14,34.4,33.11,32.9,32.52,31.18,30.13,29.37 | +| basket | 24.18,24.1,24.12,24.14,24.14,24.21,24.09,24.15,24.14,24.21,24.23 | +| waterfall | 47.05,47.18,46.93,46.85,46.81,46.84,46.76,46.86,46.81,46.85,46.88 | +| tent | 94.07,94.2,94.31,94.29,94.43,94.46,94.7,94.77,94.76,94.9,95.01 | +| bag | 15.8,15.75,15.95,16.04,15.86,15.87,15.93,15.91,15.9,16.05,15.96 | +| minibike | 59.69,59.92,60.12,60.27,60.38,60.28,60.41,60.54,60.47,60.64,60.69 | +| cradle | 84.84,84.88,84.99,85.15,85.34,85.39,85.38,85.5,85.69,85.75,85.79 | +| oven | 47.45,47.82,47.93,48.21,48.41,48.52,48.8,48.92,49.16,49.29,49.32 | +| ball | 43.31,43.31,43.48,43.32,43.68,43.21,43.34,43.4,43.3,43.09,43.24 | +| food | 56.16,56.27,56.44,56.5,56.53,56.58,56.61,56.44,56.55,56.16,56.01 | +| step | 5.95,6.01,5.9,5.97,5.96,5.98,6.03,5.71,5.5,5.69,5.64 | +| tank | 48.26,48.44,48.13,47.99,48.02,48.07,48.05,48.16,48.16,48.13,48.17 | +| trade name | 29.63,29.66,29.88,29.98,30.07,30.11,30.17,30.27,30.03,30.1,30.03 | +| microwave | 74.23,74.49,74.79,74.78,74.94,75.09,75.17,75.4,75.36,75.43,75.47 | +| pot | 30.16,30.3,30.39,30.59,30.72,30.86,31.04,31.05,31.22,31.34,31.39 | +| animal | 55.42,55.52,55.55,55.58,55.63,55.59,55.6,55.66,55.54,55.58,55.55 | +| bicycle | 54.88,54.93,55.2,55.27,55.29,55.24,55.34,55.43,55.46,55.47,55.47 | +| lake | 57.72,57.8,57.92,58.05,58.12,58.24,58.32,58.39,58.51,58.56,58.61 | +| dishwasher | 66.71,66.64,66.61,66.75,66.67,66.6,66.64,67.09,66.54,67.2,67.21 | +| screen | 69.0,68.64,68.63,68.02,68.31,67.67,68.13,67.5,67.5,67.15,66.87 | +| blanket | 17.53,17.58,17.74,17.82,17.64,17.83,17.67,17.77,17.88,17.88,17.91 | +| sculpture | 58.34,58.24,58.5,58.29,58.3,57.81,57.67,57.65,57.51,57.6,57.73 | +| hood | 57.92,57.42,57.42,56.67,55.47,55.13,55.2,54.86,54.83,54.67,54.82 | +| sconce | 42.94,43.29,43.2,43.2,43.53,43.64,43.69,43.46,43.61,43.56,43.61 | +| vase | 37.99,38.16,38.18,38.38,38.14,38.27,38.49,38.38,38.45,38.4,38.37 | +| traffic light | 34.16,34.1,34.25,34.3,34.34,34.45,34.54,34.42,34.41,34.58,34.59 | +| tray | 8.34,8.52,8.44,8.72,8.78,8.92,9.24,9.25,9.31,9.16,9.01 | +| ashcan | 41.58,41.45,41.39,41.25,41.23,41.21,41.14,41.23,40.95,40.97,40.83 | +| fan | 58.03,58.14,58.03,58.03,57.93,58.01,58.05,57.93,57.77,57.66,57.59 | +| pier | 52.01,52.68,55.8,59.27,59.68,60.17,60.84,61.45,61.91,62.33,62.44 | +| crt screen | 11.14,11.09,11.03,11.05,10.99,11.01,11.02,10.93,10.93,10.86,10.83 | +| plate | 54.07,54.17,54.21,54.37,54.44,54.61,54.64,54.6,54.62,54.71,54.71 | +| monitor | 18.48,18.35,18.14,18.16,17.67,17.69,17.3,17.2,16.81,16.83,16.52 | +| bulletin board | 37.36,37.18,37.24,37.47,37.35,37.64,37.64,37.42,37.35,37.31,37.27 | +| shower | 1.77,1.74,1.77,1.76,1.7,1.71,1.74,1.69,1.77,1.59,1.55 | +| radiator | 59.7,60.78,61.83,62.86,62.93,63.35,63.7,63.66,64.24,64.22,64.27 | +| glass | 14.3,14.26,14.22,14.29,14.32,14.39,14.26,14.29,14.41,14.27,14.29 | +| clock | 34.92,35.3,35.38,35.34,35.19,35.34,35.41,35.38,35.34,35.41,35.38 | +| flag | 32.43,32.59,32.47,32.43,32.48,32.52,32.44,32.58,32.55,32.55,32.57 | ++---------------------+-------------------------------------------------------------------+ +2023-03-04 09:59:27,052 - mmseg - INFO - Summary: +2023-03-04 09:59:27,052 - mmseg - INFO - ++-------------------------------------------------------------------+ +| mIoU 0,5,10,15,20,25,30,35,40,45,49 | ++-------------------------------------------------------------------+ +| 48.77,48.83,48.89,48.97,48.99,49.01,49.04,49.05,49.04,49.03,49.03 | ++-------------------------------------------------------------------+ +2023-03-04 09:59:27,052 - mmseg - INFO - Exp name: ablation_segformer_mit_b2_segformer_head_unet_fc_small_multi_step_ade_pretrained_freeze_embed_160k_ade20k151_finetune_ema_t50.py +2023-03-04 09:59:27,052 - mmseg - INFO - Iter(val) [250] mIoU: [0.4877, 0.4883, 0.4889, 0.4897, 0.4899, 0.4901, 0.4904, 0.4905, 0.4904, 0.4903, 0.4903], copy_paste: 48.77,48.83,48.89,48.97,48.99,49.01,49.04,49.05,49.04,49.03,49.03 +2023-03-04 09:59:27,059 - mmseg - INFO - Swap parameters (before train) before iter [144001] +2023-03-04 09:59:37,040 - mmseg - INFO - Iter [144050/160000] lr: 3.750e-05, eta: 0:58:28, time: 7.259, data_time: 7.067, memory: 52540, decode.loss_ce: 0.1788, decode.acc_seg: 92.6429, loss: 0.1788 +2023-03-04 09:59:46,913 - mmseg - INFO - Iter [144100/160000] lr: 3.750e-05, eta: 0:58:17, time: 0.197, data_time: 0.008, memory: 52540, decode.loss_ce: 0.1886, decode.acc_seg: 92.3296, loss: 0.1886 +2023-03-04 09:59:56,647 - mmseg - INFO - Iter [144150/160000] lr: 3.750e-05, eta: 0:58:06, time: 0.195, data_time: 0.008, memory: 52540, decode.loss_ce: 0.1854, decode.acc_seg: 92.2915, loss: 0.1854 +2023-03-04 10:00:06,480 - mmseg - INFO - Iter [144200/160000] lr: 3.750e-05, eta: 0:57:55, time: 0.196, data_time: 0.008, memory: 52540, decode.loss_ce: 0.1902, decode.acc_seg: 92.3376, loss: 0.1902 +2023-03-04 10:00:16,146 - mmseg - INFO - Iter [144250/160000] lr: 3.750e-05, eta: 0:57:44, time: 0.194, data_time: 0.008, memory: 52540, decode.loss_ce: 0.1826, decode.acc_seg: 92.5582, loss: 0.1826 +2023-03-04 10:00:25,949 - mmseg - INFO - Iter [144300/160000] lr: 3.750e-05, eta: 0:57:33, time: 0.196, data_time: 0.008, memory: 52540, decode.loss_ce: 0.1902, decode.acc_seg: 92.1421, loss: 0.1902 +2023-03-04 10:00:35,855 - mmseg - INFO - Iter [144350/160000] lr: 3.750e-05, eta: 0:57:22, time: 0.198, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1888, decode.acc_seg: 92.2628, loss: 0.1888 +2023-03-04 10:00:45,331 - mmseg - INFO - Iter [144400/160000] lr: 3.750e-05, eta: 0:57:10, time: 0.190, data_time: 0.008, memory: 52540, decode.loss_ce: 0.1824, decode.acc_seg: 92.4857, loss: 0.1824 +2023-03-04 10:00:54,939 - mmseg - INFO - Iter [144450/160000] lr: 3.750e-05, eta: 0:56:59, time: 0.192, data_time: 0.008, memory: 52540, decode.loss_ce: 0.1871, decode.acc_seg: 92.4253, loss: 0.1871 +2023-03-04 10:01:07,131 - mmseg - INFO - Iter [144500/160000] lr: 3.750e-05, eta: 0:56:48, time: 0.244, data_time: 0.055, memory: 52540, decode.loss_ce: 0.1865, decode.acc_seg: 92.2466, loss: 0.1865 +2023-03-04 10:01:16,694 - mmseg - INFO - Iter [144550/160000] lr: 3.750e-05, eta: 0:56:37, time: 0.191, data_time: 0.008, memory: 52540, decode.loss_ce: 0.1830, decode.acc_seg: 92.4464, loss: 0.1830 +2023-03-04 10:01:26,287 - mmseg - INFO - Iter [144600/160000] lr: 3.750e-05, eta: 0:56:26, time: 0.192, data_time: 0.008, memory: 52540, decode.loss_ce: 0.1866, decode.acc_seg: 92.2803, loss: 0.1866 +2023-03-04 10:01:35,904 - mmseg - INFO - Iter [144650/160000] lr: 3.750e-05, eta: 0:56:15, time: 0.192, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1924, decode.acc_seg: 92.2021, loss: 0.1924 +2023-03-04 10:01:45,387 - mmseg - INFO - Iter [144700/160000] lr: 3.750e-05, eta: 0:56:04, time: 0.190, data_time: 0.008, memory: 52540, decode.loss_ce: 0.1785, decode.acc_seg: 92.6407, loss: 0.1785 +2023-03-04 10:01:54,994 - mmseg - INFO - Iter [144750/160000] lr: 3.750e-05, eta: 0:55:53, time: 0.192, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1853, decode.acc_seg: 92.3300, loss: 0.1853 +2023-03-04 10:02:04,573 - mmseg - INFO - Iter [144800/160000] lr: 3.750e-05, eta: 0:55:41, time: 0.192, data_time: 0.008, memory: 52540, decode.loss_ce: 0.1867, decode.acc_seg: 92.3373, loss: 0.1867 +2023-03-04 10:02:14,049 - mmseg - INFO - Iter [144850/160000] lr: 3.750e-05, eta: 0:55:30, time: 0.190, data_time: 0.008, memory: 52540, decode.loss_ce: 0.1864, decode.acc_seg: 92.1509, loss: 0.1864 +2023-03-04 10:02:23,459 - mmseg - INFO - Iter [144900/160000] lr: 3.750e-05, eta: 0:55:19, time: 0.188, data_time: 0.008, memory: 52540, decode.loss_ce: 0.1926, decode.acc_seg: 92.0237, loss: 0.1926 +2023-03-04 10:02:33,043 - mmseg - INFO - Iter [144950/160000] lr: 3.750e-05, eta: 0:55:08, time: 0.192, data_time: 0.008, memory: 52540, decode.loss_ce: 0.1889, decode.acc_seg: 92.3092, loss: 0.1889 +2023-03-04 10:02:42,488 - mmseg - INFO - Exp name: ablation_segformer_mit_b2_segformer_head_unet_fc_small_multi_step_ade_pretrained_freeze_embed_160k_ade20k151_finetune_ema_t50.py +2023-03-04 10:02:42,488 - mmseg - INFO - Iter [145000/160000] lr: 3.750e-05, eta: 0:54:57, time: 0.189, data_time: 0.008, memory: 52540, decode.loss_ce: 0.1782, decode.acc_seg: 92.6990, loss: 0.1782 +2023-03-04 10:02:52,039 - mmseg - INFO - Iter [145050/160000] lr: 3.750e-05, eta: 0:54:46, time: 0.191, data_time: 0.008, memory: 52540, decode.loss_ce: 0.1796, decode.acc_seg: 92.6390, loss: 0.1796 +2023-03-04 10:03:01,821 - mmseg - INFO - Iter [145100/160000] lr: 3.750e-05, eta: 0:54:35, time: 0.196, data_time: 0.008, memory: 52540, decode.loss_ce: 0.1855, decode.acc_seg: 92.4894, loss: 0.1855 +2023-03-04 10:03:14,047 - mmseg - INFO - Iter [145150/160000] lr: 3.750e-05, eta: 0:54:24, time: 0.244, data_time: 0.056, memory: 52540, decode.loss_ce: 0.1878, decode.acc_seg: 92.3193, loss: 0.1878 +2023-03-04 10:03:23,639 - mmseg - INFO - Iter [145200/160000] lr: 3.750e-05, eta: 0:54:13, time: 0.192, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1853, decode.acc_seg: 92.3664, loss: 0.1853 +2023-03-04 10:03:33,314 - mmseg - INFO - Iter [145250/160000] lr: 3.750e-05, eta: 0:54:02, time: 0.193, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1802, decode.acc_seg: 92.3919, loss: 0.1802 +2023-03-04 10:03:43,051 - mmseg - INFO - Iter [145300/160000] lr: 3.750e-05, eta: 0:53:50, time: 0.195, data_time: 0.008, memory: 52540, decode.loss_ce: 0.1813, decode.acc_seg: 92.4286, loss: 0.1813 +2023-03-04 10:03:52,848 - mmseg - INFO - Iter [145350/160000] lr: 3.750e-05, eta: 0:53:39, time: 0.196, data_time: 0.008, memory: 52540, decode.loss_ce: 0.1837, decode.acc_seg: 92.3744, loss: 0.1837 +2023-03-04 10:04:02,427 - mmseg - INFO - Iter [145400/160000] lr: 3.750e-05, eta: 0:53:28, time: 0.192, data_time: 0.008, memory: 52540, decode.loss_ce: 0.1841, decode.acc_seg: 92.4491, loss: 0.1841 +2023-03-04 10:04:12,156 - mmseg - INFO - Iter [145450/160000] lr: 3.750e-05, eta: 0:53:17, time: 0.195, data_time: 0.008, memory: 52540, decode.loss_ce: 0.1840, decode.acc_seg: 92.4105, loss: 0.1840 +2023-03-04 10:04:21,629 - mmseg - INFO - Iter [145500/160000] lr: 3.750e-05, eta: 0:53:06, time: 0.189, data_time: 0.008, memory: 52540, decode.loss_ce: 0.1870, decode.acc_seg: 92.3480, loss: 0.1870 +2023-03-04 10:04:31,102 - mmseg - INFO - Iter [145550/160000] lr: 3.750e-05, eta: 0:52:55, time: 0.189, data_time: 0.008, memory: 52540, decode.loss_ce: 0.1797, decode.acc_seg: 92.5932, loss: 0.1797 +2023-03-04 10:04:40,785 - mmseg - INFO - Iter [145600/160000] lr: 3.750e-05, eta: 0:52:44, time: 0.194, data_time: 0.008, memory: 52540, decode.loss_ce: 0.1837, decode.acc_seg: 92.4417, loss: 0.1837 +2023-03-04 10:04:50,250 - mmseg - INFO - Iter [145650/160000] lr: 3.750e-05, eta: 0:52:33, time: 0.189, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1810, decode.acc_seg: 92.6236, loss: 0.1810 +2023-03-04 10:05:00,188 - mmseg - INFO - Iter [145700/160000] lr: 3.750e-05, eta: 0:52:21, time: 0.199, data_time: 0.008, memory: 52540, decode.loss_ce: 0.1836, decode.acc_seg: 92.5266, loss: 0.1836 +2023-03-04 10:05:10,035 - mmseg - INFO - Iter [145750/160000] lr: 3.750e-05, eta: 0:52:10, time: 0.197, data_time: 0.008, memory: 52540, decode.loss_ce: 0.1889, decode.acc_seg: 92.2905, loss: 0.1889 +2023-03-04 10:05:22,278 - mmseg - INFO - Iter [145800/160000] lr: 3.750e-05, eta: 0:51:59, time: 0.245, data_time: 0.054, memory: 52540, decode.loss_ce: 0.1779, decode.acc_seg: 92.5205, loss: 0.1779 +2023-03-04 10:05:31,897 - mmseg - INFO - Iter [145850/160000] lr: 3.750e-05, eta: 0:51:48, time: 0.192, data_time: 0.008, memory: 52540, decode.loss_ce: 0.1858, decode.acc_seg: 92.2662, loss: 0.1858 +2023-03-04 10:05:41,457 - mmseg - INFO - Iter [145900/160000] lr: 3.750e-05, eta: 0:51:37, time: 0.191, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1869, decode.acc_seg: 92.2697, loss: 0.1869 +2023-03-04 10:05:50,970 - mmseg - INFO - Iter [145950/160000] lr: 3.750e-05, eta: 0:51:26, time: 0.190, data_time: 0.008, memory: 52540, decode.loss_ce: 0.1815, decode.acc_seg: 92.6608, loss: 0.1815 +2023-03-04 10:06:00,608 - mmseg - INFO - Exp name: ablation_segformer_mit_b2_segformer_head_unet_fc_small_multi_step_ade_pretrained_freeze_embed_160k_ade20k151_finetune_ema_t50.py +2023-03-04 10:06:00,608 - mmseg - INFO - Iter [146000/160000] lr: 3.750e-05, eta: 0:51:15, time: 0.193, data_time: 0.008, memory: 52540, decode.loss_ce: 0.1863, decode.acc_seg: 92.3378, loss: 0.1863 +2023-03-04 10:06:10,038 - mmseg - INFO - Iter [146050/160000] lr: 3.750e-05, eta: 0:51:04, time: 0.189, data_time: 0.008, memory: 52540, decode.loss_ce: 0.1852, decode.acc_seg: 92.4824, loss: 0.1852 +2023-03-04 10:06:19,715 - mmseg - INFO - Iter [146100/160000] lr: 3.750e-05, eta: 0:50:53, time: 0.194, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1820, decode.acc_seg: 92.4099, loss: 0.1820 +2023-03-04 10:06:29,291 - mmseg - INFO - Iter [146150/160000] lr: 3.750e-05, eta: 0:50:42, time: 0.191, data_time: 0.008, memory: 52540, decode.loss_ce: 0.1864, decode.acc_seg: 92.1933, loss: 0.1864 +2023-03-04 10:06:39,093 - mmseg - INFO - Iter [146200/160000] lr: 3.750e-05, eta: 0:50:31, time: 0.196, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1825, decode.acc_seg: 92.5494, loss: 0.1825 +2023-03-04 10:06:48,665 - mmseg - INFO - Iter [146250/160000] lr: 3.750e-05, eta: 0:50:19, time: 0.191, data_time: 0.008, memory: 52540, decode.loss_ce: 0.1865, decode.acc_seg: 92.3437, loss: 0.1865 +2023-03-04 10:06:58,322 - mmseg - INFO - Iter [146300/160000] lr: 3.750e-05, eta: 0:50:08, time: 0.193, data_time: 0.008, memory: 52540, decode.loss_ce: 0.1920, decode.acc_seg: 92.2065, loss: 0.1920 +2023-03-04 10:07:08,137 - mmseg - INFO - Iter [146350/160000] lr: 3.750e-05, eta: 0:49:57, time: 0.196, data_time: 0.008, memory: 52540, decode.loss_ce: 0.1813, decode.acc_seg: 92.5422, loss: 0.1813 +2023-03-04 10:07:20,516 - mmseg - INFO - Iter [146400/160000] lr: 3.750e-05, eta: 0:49:46, time: 0.248, data_time: 0.056, memory: 52540, decode.loss_ce: 0.1909, decode.acc_seg: 92.0565, loss: 0.1909 +2023-03-04 10:07:30,400 - mmseg - INFO - Iter [146450/160000] lr: 3.750e-05, eta: 0:49:35, time: 0.198, data_time: 0.008, memory: 52540, decode.loss_ce: 0.1846, decode.acc_seg: 92.5187, loss: 0.1846 +2023-03-04 10:07:40,600 - mmseg - INFO - Iter [146500/160000] lr: 3.750e-05, eta: 0:49:24, time: 0.204, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1911, decode.acc_seg: 92.1621, loss: 0.1911 +2023-03-04 10:07:50,183 - mmseg - INFO - Iter [146550/160000] lr: 3.750e-05, eta: 0:49:13, time: 0.192, data_time: 0.008, memory: 52540, decode.loss_ce: 0.1853, decode.acc_seg: 92.4418, loss: 0.1853 +2023-03-04 10:07:59,804 - mmseg - INFO - Iter [146600/160000] lr: 3.750e-05, eta: 0:49:02, time: 0.192, data_time: 0.008, memory: 52540, decode.loss_ce: 0.1814, decode.acc_seg: 92.5796, loss: 0.1814 +2023-03-04 10:08:09,457 - mmseg - INFO - Iter [146650/160000] lr: 3.750e-05, eta: 0:48:51, time: 0.193, data_time: 0.008, memory: 52540, decode.loss_ce: 0.1876, decode.acc_seg: 92.3494, loss: 0.1876 +2023-03-04 10:08:19,217 - mmseg - INFO - Iter [146700/160000] lr: 3.750e-05, eta: 0:48:40, time: 0.195, data_time: 0.008, memory: 52540, decode.loss_ce: 0.1813, decode.acc_seg: 92.6065, loss: 0.1813 +2023-03-04 10:08:28,823 - mmseg - INFO - Iter [146750/160000] lr: 3.750e-05, eta: 0:48:29, time: 0.192, data_time: 0.008, memory: 52540, decode.loss_ce: 0.1846, decode.acc_seg: 92.3756, loss: 0.1846 +2023-03-04 10:08:38,592 - mmseg - INFO - Iter [146800/160000] lr: 3.750e-05, eta: 0:48:18, time: 0.195, data_time: 0.008, memory: 52540, decode.loss_ce: 0.1816, decode.acc_seg: 92.6654, loss: 0.1816 +2023-03-04 10:08:48,140 - mmseg - INFO - Iter [146850/160000] lr: 3.750e-05, eta: 0:48:07, time: 0.191, data_time: 0.008, memory: 52540, decode.loss_ce: 0.1838, decode.acc_seg: 92.3685, loss: 0.1838 +2023-03-04 10:08:57,594 - mmseg - INFO - Iter [146900/160000] lr: 3.750e-05, eta: 0:47:55, time: 0.189, data_time: 0.008, memory: 52540, decode.loss_ce: 0.1789, decode.acc_seg: 92.5078, loss: 0.1789 +2023-03-04 10:09:07,148 - mmseg - INFO - Iter [146950/160000] lr: 3.750e-05, eta: 0:47:44, time: 0.191, data_time: 0.008, memory: 52540, decode.loss_ce: 0.1833, decode.acc_seg: 92.4475, loss: 0.1833 +2023-03-04 10:09:16,598 - mmseg - INFO - Exp name: ablation_segformer_mit_b2_segformer_head_unet_fc_small_multi_step_ade_pretrained_freeze_embed_160k_ade20k151_finetune_ema_t50.py +2023-03-04 10:09:16,598 - mmseg - INFO - Iter [147000/160000] lr: 3.750e-05, eta: 0:47:33, time: 0.189, data_time: 0.008, memory: 52540, decode.loss_ce: 0.1932, decode.acc_seg: 92.1645, loss: 0.1932 +2023-03-04 10:09:28,735 - mmseg - INFO - Iter [147050/160000] lr: 3.750e-05, eta: 0:47:22, time: 0.243, data_time: 0.057, memory: 52540, decode.loss_ce: 0.1867, decode.acc_seg: 92.2800, loss: 0.1867 +2023-03-04 10:09:38,263 - mmseg - INFO - Iter [147100/160000] lr: 3.750e-05, eta: 0:47:11, time: 0.191, data_time: 0.008, memory: 52540, decode.loss_ce: 0.1934, decode.acc_seg: 92.1092, loss: 0.1934 +2023-03-04 10:09:47,885 - mmseg - INFO - Iter [147150/160000] lr: 3.750e-05, eta: 0:47:00, time: 0.192, data_time: 0.008, memory: 52540, decode.loss_ce: 0.1871, decode.acc_seg: 92.3523, loss: 0.1871 +2023-03-04 10:09:57,691 - mmseg - INFO - Iter [147200/160000] lr: 3.750e-05, eta: 0:46:49, time: 0.196, data_time: 0.008, memory: 52540, decode.loss_ce: 0.1813, decode.acc_seg: 92.4347, loss: 0.1813 +2023-03-04 10:10:07,324 - mmseg - INFO - Iter [147250/160000] lr: 3.750e-05, eta: 0:46:38, time: 0.193, data_time: 0.008, memory: 52540, decode.loss_ce: 0.1888, decode.acc_seg: 92.3722, loss: 0.1888 +2023-03-04 10:10:16,860 - mmseg - INFO - Iter [147300/160000] lr: 3.750e-05, eta: 0:46:27, time: 0.191, data_time: 0.008, memory: 52540, decode.loss_ce: 0.1823, decode.acc_seg: 92.7351, loss: 0.1823 +2023-03-04 10:10:26,413 - mmseg - INFO - Iter [147350/160000] lr: 3.750e-05, eta: 0:46:16, time: 0.191, data_time: 0.008, memory: 52540, decode.loss_ce: 0.1816, decode.acc_seg: 92.5033, loss: 0.1816 +2023-03-04 10:10:36,043 - mmseg - INFO - Iter [147400/160000] lr: 3.750e-05, eta: 0:46:05, time: 0.193, data_time: 0.008, memory: 52540, decode.loss_ce: 0.1937, decode.acc_seg: 92.1935, loss: 0.1937 +2023-03-04 10:10:45,889 - mmseg - INFO - Iter [147450/160000] lr: 3.750e-05, eta: 0:45:54, time: 0.197, data_time: 0.008, memory: 52540, decode.loss_ce: 0.1849, decode.acc_seg: 92.3908, loss: 0.1849 +2023-03-04 10:10:55,759 - mmseg - INFO - Iter [147500/160000] lr: 3.750e-05, eta: 0:45:43, time: 0.197, data_time: 0.008, memory: 52540, decode.loss_ce: 0.1904, decode.acc_seg: 92.1666, loss: 0.1904 +2023-03-04 10:11:05,387 - mmseg - INFO - Iter [147550/160000] lr: 3.750e-05, eta: 0:45:31, time: 0.193, data_time: 0.008, memory: 52540, decode.loss_ce: 0.1885, decode.acc_seg: 92.2106, loss: 0.1885 +2023-03-04 10:11:15,381 - mmseg - INFO - Iter [147600/160000] lr: 3.750e-05, eta: 0:45:20, time: 0.200, data_time: 0.008, memory: 52540, decode.loss_ce: 0.1797, decode.acc_seg: 92.5237, loss: 0.1797 +2023-03-04 10:11:24,857 - mmseg - INFO - Iter [147650/160000] lr: 3.750e-05, eta: 0:45:09, time: 0.189, data_time: 0.008, memory: 52540, decode.loss_ce: 0.1845, decode.acc_seg: 92.3586, loss: 0.1845 +2023-03-04 10:11:36,947 - mmseg - INFO - Iter [147700/160000] lr: 3.750e-05, eta: 0:44:58, time: 0.242, data_time: 0.053, memory: 52540, decode.loss_ce: 0.1785, decode.acc_seg: 92.6469, loss: 0.1785 +2023-03-04 10:11:46,484 - mmseg - INFO - Iter [147750/160000] lr: 3.750e-05, eta: 0:44:47, time: 0.191, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1792, decode.acc_seg: 92.6214, loss: 0.1792 +2023-03-04 10:11:56,353 - mmseg - INFO - Iter [147800/160000] lr: 3.750e-05, eta: 0:44:36, time: 0.197, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1854, decode.acc_seg: 92.2911, loss: 0.1854 +2023-03-04 10:12:06,130 - mmseg - INFO - Iter [147850/160000] lr: 3.750e-05, eta: 0:44:25, time: 0.196, data_time: 0.008, memory: 52540, decode.loss_ce: 0.1867, decode.acc_seg: 92.3776, loss: 0.1867 +2023-03-04 10:12:15,665 - mmseg - INFO - Iter [147900/160000] lr: 3.750e-05, eta: 0:44:14, time: 0.191, data_time: 0.008, memory: 52540, decode.loss_ce: 0.1886, decode.acc_seg: 92.2262, loss: 0.1886 +2023-03-04 10:12:25,274 - mmseg - INFO - Iter [147950/160000] lr: 3.750e-05, eta: 0:44:03, time: 0.192, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1886, decode.acc_seg: 92.2669, loss: 0.1886 +2023-03-04 10:12:35,140 - mmseg - INFO - Exp name: ablation_segformer_mit_b2_segformer_head_unet_fc_small_multi_step_ade_pretrained_freeze_embed_160k_ade20k151_finetune_ema_t50.py +2023-03-04 10:12:35,140 - mmseg - INFO - Iter [148000/160000] lr: 3.750e-05, eta: 0:43:52, time: 0.197, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1863, decode.acc_seg: 92.4656, loss: 0.1863 +2023-03-04 10:12:44,709 - mmseg - INFO - Iter [148050/160000] lr: 3.750e-05, eta: 0:43:41, time: 0.191, data_time: 0.008, memory: 52540, decode.loss_ce: 0.1903, decode.acc_seg: 92.1326, loss: 0.1903 +2023-03-04 10:12:54,197 - mmseg - INFO - Iter [148100/160000] lr: 3.750e-05, eta: 0:43:30, time: 0.190, data_time: 0.008, memory: 52540, decode.loss_ce: 0.1876, decode.acc_seg: 92.0927, loss: 0.1876 +2023-03-04 10:13:03,765 - mmseg - INFO - Iter [148150/160000] lr: 3.750e-05, eta: 0:43:19, time: 0.191, data_time: 0.008, memory: 52540, decode.loss_ce: 0.1789, decode.acc_seg: 92.5684, loss: 0.1789 +2023-03-04 10:13:13,629 - mmseg - INFO - Iter [148200/160000] lr: 3.750e-05, eta: 0:43:08, time: 0.197, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1825, decode.acc_seg: 92.4868, loss: 0.1825 +2023-03-04 10:13:23,282 - mmseg - INFO - Iter [148250/160000] lr: 3.750e-05, eta: 0:42:57, time: 0.193, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1903, decode.acc_seg: 92.1956, loss: 0.1903 +2023-03-04 10:13:35,275 - mmseg - INFO - Iter [148300/160000] lr: 3.750e-05, eta: 0:42:46, time: 0.240, data_time: 0.056, memory: 52540, decode.loss_ce: 0.1876, decode.acc_seg: 92.4449, loss: 0.1876 +2023-03-04 10:13:44,860 - mmseg - INFO - Iter [148350/160000] lr: 3.750e-05, eta: 0:42:35, time: 0.192, data_time: 0.008, memory: 52540, decode.loss_ce: 0.1979, decode.acc_seg: 91.8555, loss: 0.1979 +2023-03-04 10:13:54,428 - mmseg - INFO - Iter [148400/160000] lr: 3.750e-05, eta: 0:42:24, time: 0.191, data_time: 0.008, memory: 52540, decode.loss_ce: 0.1924, decode.acc_seg: 92.5138, loss: 0.1924 +2023-03-04 10:14:04,130 - mmseg - INFO - Iter [148450/160000] lr: 3.750e-05, eta: 0:42:13, time: 0.194, data_time: 0.008, memory: 52540, decode.loss_ce: 0.1822, decode.acc_seg: 92.5633, loss: 0.1822 +2023-03-04 10:14:14,141 - mmseg - INFO - Iter [148500/160000] lr: 3.750e-05, eta: 0:42:01, time: 0.200, data_time: 0.008, memory: 52540, decode.loss_ce: 0.1789, decode.acc_seg: 92.5504, loss: 0.1789 +2023-03-04 10:14:23,832 - mmseg - INFO - Iter [148550/160000] lr: 3.750e-05, eta: 0:41:50, time: 0.194, data_time: 0.008, memory: 52540, decode.loss_ce: 0.1872, decode.acc_seg: 92.3185, loss: 0.1872 +2023-03-04 10:14:33,416 - mmseg - INFO - Iter [148600/160000] lr: 3.750e-05, eta: 0:41:39, time: 0.192, data_time: 0.008, memory: 52540, decode.loss_ce: 0.1848, decode.acc_seg: 92.3638, loss: 0.1848 +2023-03-04 10:14:42,853 - mmseg - INFO - Iter [148650/160000] lr: 3.750e-05, eta: 0:41:28, time: 0.189, data_time: 0.008, memory: 52540, decode.loss_ce: 0.1837, decode.acc_seg: 92.4732, loss: 0.1837 +2023-03-04 10:14:52,510 - mmseg - INFO - Iter [148700/160000] lr: 3.750e-05, eta: 0:41:17, time: 0.193, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1898, decode.acc_seg: 92.2487, loss: 0.1898 +2023-03-04 10:15:02,013 - mmseg - INFO - Iter [148750/160000] lr: 3.750e-05, eta: 0:41:06, time: 0.190, data_time: 0.008, memory: 52540, decode.loss_ce: 0.1891, decode.acc_seg: 92.1929, loss: 0.1891 +2023-03-04 10:15:11,706 - mmseg - INFO - Iter [148800/160000] lr: 3.750e-05, eta: 0:40:55, time: 0.194, data_time: 0.008, memory: 52540, decode.loss_ce: 0.1816, decode.acc_seg: 92.4896, loss: 0.1816 +2023-03-04 10:15:21,236 - mmseg - INFO - Iter [148850/160000] lr: 3.750e-05, eta: 0:40:44, time: 0.191, data_time: 0.008, memory: 52540, decode.loss_ce: 0.1812, decode.acc_seg: 92.6011, loss: 0.1812 +2023-03-04 10:15:30,894 - mmseg - INFO - Iter [148900/160000] lr: 3.750e-05, eta: 0:40:33, time: 0.193, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1925, decode.acc_seg: 92.1469, loss: 0.1925 +2023-03-04 10:15:42,911 - mmseg - INFO - Iter [148950/160000] lr: 3.750e-05, eta: 0:40:22, time: 0.240, data_time: 0.054, memory: 52540, decode.loss_ce: 0.1842, decode.acc_seg: 92.3967, loss: 0.1842 +2023-03-04 10:15:52,454 - mmseg - INFO - Exp name: ablation_segformer_mit_b2_segformer_head_unet_fc_small_multi_step_ade_pretrained_freeze_embed_160k_ade20k151_finetune_ema_t50.py +2023-03-04 10:15:52,454 - mmseg - INFO - Iter [149000/160000] lr: 3.750e-05, eta: 0:40:11, time: 0.191, data_time: 0.008, memory: 52540, decode.loss_ce: 0.1891, decode.acc_seg: 92.2148, loss: 0.1891 +2023-03-04 10:16:01,927 - mmseg - INFO - Iter [149050/160000] lr: 3.750e-05, eta: 0:40:00, time: 0.189, data_time: 0.008, memory: 52540, decode.loss_ce: 0.1857, decode.acc_seg: 92.3596, loss: 0.1857 +2023-03-04 10:16:11,571 - mmseg - INFO - Iter [149100/160000] lr: 3.750e-05, eta: 0:39:49, time: 0.193, data_time: 0.008, memory: 52540, decode.loss_ce: 0.1869, decode.acc_seg: 92.3693, loss: 0.1869 +2023-03-04 10:16:21,193 - mmseg - INFO - Iter [149150/160000] lr: 3.750e-05, eta: 0:39:38, time: 0.192, data_time: 0.008, memory: 52540, decode.loss_ce: 0.1878, decode.acc_seg: 92.3213, loss: 0.1878 +2023-03-04 10:16:30,759 - mmseg - INFO - Iter [149200/160000] lr: 3.750e-05, eta: 0:39:27, time: 0.191, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1862, decode.acc_seg: 92.3716, loss: 0.1862 +2023-03-04 10:16:40,223 - mmseg - INFO - Iter [149250/160000] lr: 3.750e-05, eta: 0:39:16, time: 0.189, data_time: 0.008, memory: 52540, decode.loss_ce: 0.1834, decode.acc_seg: 92.3520, loss: 0.1834 +2023-03-04 10:16:50,015 - mmseg - INFO - Iter [149300/160000] lr: 3.750e-05, eta: 0:39:05, time: 0.196, data_time: 0.008, memory: 52540, decode.loss_ce: 0.1975, decode.acc_seg: 91.8652, loss: 0.1975 +2023-03-04 10:16:59,552 - mmseg - INFO - Iter [149350/160000] lr: 3.750e-05, eta: 0:38:54, time: 0.191, data_time: 0.008, memory: 52540, decode.loss_ce: 0.1757, decode.acc_seg: 92.7766, loss: 0.1757 +2023-03-04 10:17:09,336 - mmseg - INFO - Iter [149400/160000] lr: 3.750e-05, eta: 0:38:43, time: 0.196, data_time: 0.008, memory: 52540, decode.loss_ce: 0.1803, decode.acc_seg: 92.5630, loss: 0.1803 +2023-03-04 10:17:18,872 - mmseg - INFO - Iter [149450/160000] lr: 3.750e-05, eta: 0:38:31, time: 0.191, data_time: 0.008, memory: 52540, decode.loss_ce: 0.1879, decode.acc_seg: 92.1709, loss: 0.1879 +2023-03-04 10:17:28,340 - mmseg - INFO - Iter [149500/160000] lr: 3.750e-05, eta: 0:38:20, time: 0.189, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1872, decode.acc_seg: 92.2760, loss: 0.1872 +2023-03-04 10:17:40,526 - mmseg - INFO - Iter [149550/160000] lr: 3.750e-05, eta: 0:38:10, time: 0.244, data_time: 0.056, memory: 52540, decode.loss_ce: 0.1915, decode.acc_seg: 92.0940, loss: 0.1915 +2023-03-04 10:17:50,243 - mmseg - INFO - Iter [149600/160000] lr: 3.750e-05, eta: 0:37:59, time: 0.194, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1852, decode.acc_seg: 92.3813, loss: 0.1852 +2023-03-04 10:18:00,039 - mmseg - INFO - Iter [149650/160000] lr: 3.750e-05, eta: 0:37:47, time: 0.196, data_time: 0.008, memory: 52540, decode.loss_ce: 0.1883, decode.acc_seg: 92.3092, loss: 0.1883 +2023-03-04 10:18:09,651 - mmseg - INFO - Iter [149700/160000] lr: 3.750e-05, eta: 0:37:36, time: 0.192, data_time: 0.008, memory: 52540, decode.loss_ce: 0.1804, decode.acc_seg: 92.6157, loss: 0.1804 +2023-03-04 10:18:19,408 - mmseg - INFO - Iter [149750/160000] lr: 3.750e-05, eta: 0:37:25, time: 0.195, data_time: 0.008, memory: 52540, decode.loss_ce: 0.1898, decode.acc_seg: 92.0976, loss: 0.1898 +2023-03-04 10:18:28,977 - mmseg - INFO - Iter [149800/160000] lr: 3.750e-05, eta: 0:37:14, time: 0.191, data_time: 0.008, memory: 52540, decode.loss_ce: 0.1891, decode.acc_seg: 92.2877, loss: 0.1891 +2023-03-04 10:18:38,438 - mmseg - INFO - Iter [149850/160000] lr: 3.750e-05, eta: 0:37:03, time: 0.189, data_time: 0.008, memory: 52540, decode.loss_ce: 0.1784, decode.acc_seg: 92.6724, loss: 0.1784 +2023-03-04 10:18:47,921 - mmseg - INFO - Iter [149900/160000] lr: 3.750e-05, eta: 0:36:52, time: 0.190, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1900, decode.acc_seg: 92.3636, loss: 0.1900 +2023-03-04 10:18:57,513 - mmseg - INFO - Iter [149950/160000] lr: 3.750e-05, eta: 0:36:41, time: 0.192, data_time: 0.008, memory: 52540, decode.loss_ce: 0.1876, decode.acc_seg: 92.3103, loss: 0.1876 +2023-03-04 10:19:07,148 - mmseg - INFO - Exp name: ablation_segformer_mit_b2_segformer_head_unet_fc_small_multi_step_ade_pretrained_freeze_embed_160k_ade20k151_finetune_ema_t50.py +2023-03-04 10:19:07,148 - mmseg - INFO - Iter [150000/160000] lr: 3.750e-05, eta: 0:36:30, time: 0.193, data_time: 0.008, memory: 52540, decode.loss_ce: 0.1867, decode.acc_seg: 92.3334, loss: 0.1867 +2023-03-04 10:19:16,809 - mmseg - INFO - Iter [150050/160000] lr: 1.875e-05, eta: 0:36:19, time: 0.193, data_time: 0.008, memory: 52540, decode.loss_ce: 0.1814, decode.acc_seg: 92.5145, loss: 0.1814 +2023-03-04 10:19:26,369 - mmseg - INFO - Iter [150100/160000] lr: 1.875e-05, eta: 0:36:08, time: 0.191, data_time: 0.008, memory: 52540, decode.loss_ce: 0.1812, decode.acc_seg: 92.5916, loss: 0.1812 +2023-03-04 10:19:35,829 - mmseg - INFO - Iter [150150/160000] lr: 1.875e-05, eta: 0:35:57, time: 0.189, data_time: 0.008, memory: 52540, decode.loss_ce: 0.1822, decode.acc_seg: 92.5642, loss: 0.1822 +2023-03-04 10:19:48,003 - mmseg - INFO - Iter [150200/160000] lr: 1.875e-05, eta: 0:35:46, time: 0.243, data_time: 0.054, memory: 52540, decode.loss_ce: 0.1796, decode.acc_seg: 92.5294, loss: 0.1796 +2023-03-04 10:19:57,542 - mmseg - INFO - Iter [150250/160000] lr: 1.875e-05, eta: 0:35:35, time: 0.191, data_time: 0.008, memory: 52540, decode.loss_ce: 0.1930, decode.acc_seg: 92.1895, loss: 0.1930 +2023-03-04 10:20:07,504 - mmseg - INFO - Iter [150300/160000] lr: 1.875e-05, eta: 0:35:24, time: 0.199, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1870, decode.acc_seg: 92.1908, loss: 0.1870 +2023-03-04 10:20:17,133 - mmseg - INFO - Iter [150350/160000] lr: 1.875e-05, eta: 0:35:13, time: 0.193, data_time: 0.008, memory: 52540, decode.loss_ce: 0.1811, decode.acc_seg: 92.5226, loss: 0.1811 +2023-03-04 10:20:26,646 - mmseg - INFO - Iter [150400/160000] lr: 1.875e-05, eta: 0:35:02, time: 0.190, data_time: 0.008, memory: 52540, decode.loss_ce: 0.1741, decode.acc_seg: 92.7831, loss: 0.1741 +2023-03-04 10:20:36,168 - mmseg - INFO - Iter [150450/160000] lr: 1.875e-05, eta: 0:34:51, time: 0.190, data_time: 0.008, memory: 52540, decode.loss_ce: 0.1900, decode.acc_seg: 92.0482, loss: 0.1900 +2023-03-04 10:20:45,739 - mmseg - INFO - Iter [150500/160000] lr: 1.875e-05, eta: 0:34:40, time: 0.191, data_time: 0.008, memory: 52540, decode.loss_ce: 0.1865, decode.acc_seg: 92.3331, loss: 0.1865 +2023-03-04 10:20:55,307 - mmseg - INFO - Iter [150550/160000] lr: 1.875e-05, eta: 0:34:29, time: 0.191, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1897, decode.acc_seg: 92.4289, loss: 0.1897 +2023-03-04 10:21:04,840 - mmseg - INFO - Iter [150600/160000] lr: 1.875e-05, eta: 0:34:18, time: 0.191, data_time: 0.008, memory: 52540, decode.loss_ce: 0.1888, decode.acc_seg: 92.2986, loss: 0.1888 +2023-03-04 10:21:14,390 - mmseg - INFO - Iter [150650/160000] lr: 1.875e-05, eta: 0:34:07, time: 0.191, data_time: 0.008, memory: 52540, decode.loss_ce: 0.1763, decode.acc_seg: 92.8692, loss: 0.1763 +2023-03-04 10:21:23,959 - mmseg - INFO - Iter [150700/160000] lr: 1.875e-05, eta: 0:33:56, time: 0.192, data_time: 0.008, memory: 52540, decode.loss_ce: 0.1784, decode.acc_seg: 92.6184, loss: 0.1784 +2023-03-04 10:21:33,571 - mmseg - INFO - Iter [150750/160000] lr: 1.875e-05, eta: 0:33:45, time: 0.192, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1902, decode.acc_seg: 92.2620, loss: 0.1902 +2023-03-04 10:21:43,125 - mmseg - INFO - Iter [150800/160000] lr: 1.875e-05, eta: 0:33:34, time: 0.191, data_time: 0.008, memory: 52540, decode.loss_ce: 0.1866, decode.acc_seg: 92.3775, loss: 0.1866 +2023-03-04 10:21:55,144 - mmseg - INFO - Iter [150850/160000] lr: 1.875e-05, eta: 0:33:23, time: 0.240, data_time: 0.054, memory: 52540, decode.loss_ce: 0.1796, decode.acc_seg: 92.3707, loss: 0.1796 +2023-03-04 10:22:04,880 - mmseg - INFO - Iter [150900/160000] lr: 1.875e-05, eta: 0:33:12, time: 0.195, data_time: 0.008, memory: 52540, decode.loss_ce: 0.1723, decode.acc_seg: 92.9044, loss: 0.1723 +2023-03-04 10:22:14,686 - mmseg - INFO - Iter [150950/160000] lr: 1.875e-05, eta: 0:33:01, time: 0.196, data_time: 0.008, memory: 52540, decode.loss_ce: 0.1801, decode.acc_seg: 92.5959, loss: 0.1801 +2023-03-04 10:22:24,446 - mmseg - INFO - Exp name: ablation_segformer_mit_b2_segformer_head_unet_fc_small_multi_step_ade_pretrained_freeze_embed_160k_ade20k151_finetune_ema_t50.py +2023-03-04 10:22:24,446 - mmseg - INFO - Iter [151000/160000] lr: 1.875e-05, eta: 0:32:50, time: 0.195, data_time: 0.008, memory: 52540, decode.loss_ce: 0.1790, decode.acc_seg: 92.7951, loss: 0.1790 +2023-03-04 10:22:34,360 - mmseg - INFO - Iter [151050/160000] lr: 1.875e-05, eta: 0:32:39, time: 0.198, data_time: 0.008, memory: 52540, decode.loss_ce: 0.1788, decode.acc_seg: 92.5746, loss: 0.1788 +2023-03-04 10:22:43,926 - mmseg - INFO - Iter [151100/160000] lr: 1.875e-05, eta: 0:32:28, time: 0.191, data_time: 0.008, memory: 52540, decode.loss_ce: 0.1830, decode.acc_seg: 92.4531, loss: 0.1830 +2023-03-04 10:22:53,680 - mmseg - INFO - Iter [151150/160000] lr: 1.875e-05, eta: 0:32:17, time: 0.195, data_time: 0.008, memory: 52540, decode.loss_ce: 0.1932, decode.acc_seg: 92.0073, loss: 0.1932 +2023-03-04 10:23:03,269 - mmseg - INFO - Iter [151200/160000] lr: 1.875e-05, eta: 0:32:06, time: 0.192, data_time: 0.008, memory: 52540, decode.loss_ce: 0.1885, decode.acc_seg: 92.2338, loss: 0.1885 +2023-03-04 10:23:12,986 - mmseg - INFO - Iter [151250/160000] lr: 1.875e-05, eta: 0:31:55, time: 0.194, data_time: 0.008, memory: 52540, decode.loss_ce: 0.1821, decode.acc_seg: 92.3728, loss: 0.1821 +2023-03-04 10:23:22,593 - mmseg - INFO - Iter [151300/160000] lr: 1.875e-05, eta: 0:31:44, time: 0.192, data_time: 0.008, memory: 52540, decode.loss_ce: 0.1859, decode.acc_seg: 92.3352, loss: 0.1859 +2023-03-04 10:23:32,378 - mmseg - INFO - Iter [151350/160000] lr: 1.875e-05, eta: 0:31:33, time: 0.196, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1806, decode.acc_seg: 92.5380, loss: 0.1806 +2023-03-04 10:23:42,133 - mmseg - INFO - Iter [151400/160000] lr: 1.875e-05, eta: 0:31:22, time: 0.195, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1846, decode.acc_seg: 92.3346, loss: 0.1846 +2023-03-04 10:23:54,058 - mmseg - INFO - Iter [151450/160000] lr: 1.875e-05, eta: 0:31:11, time: 0.238, data_time: 0.057, memory: 52540, decode.loss_ce: 0.1809, decode.acc_seg: 92.5013, loss: 0.1809 +2023-03-04 10:24:03,599 - mmseg - INFO - Iter [151500/160000] lr: 1.875e-05, eta: 0:31:00, time: 0.191, data_time: 0.008, memory: 52540, decode.loss_ce: 0.1839, decode.acc_seg: 92.5070, loss: 0.1839 +2023-03-04 10:24:13,148 - mmseg - INFO - Iter [151550/160000] lr: 1.875e-05, eta: 0:30:49, time: 0.191, data_time: 0.008, memory: 52540, decode.loss_ce: 0.1860, decode.acc_seg: 92.3844, loss: 0.1860 +2023-03-04 10:24:22,769 - mmseg - INFO - Iter [151600/160000] lr: 1.875e-05, eta: 0:30:38, time: 0.192, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1805, decode.acc_seg: 92.6415, loss: 0.1805 +2023-03-04 10:24:32,336 - mmseg - INFO - Iter [151650/160000] lr: 1.875e-05, eta: 0:30:27, time: 0.191, data_time: 0.008, memory: 52540, decode.loss_ce: 0.1886, decode.acc_seg: 92.2313, loss: 0.1886 +2023-03-04 10:24:42,163 - mmseg - INFO - Iter [151700/160000] lr: 1.875e-05, eta: 0:30:16, time: 0.197, data_time: 0.008, memory: 52540, decode.loss_ce: 0.1855, decode.acc_seg: 92.3297, loss: 0.1855 +2023-03-04 10:24:52,070 - mmseg - INFO - Iter [151750/160000] lr: 1.875e-05, eta: 0:30:05, time: 0.198, data_time: 0.008, memory: 52540, decode.loss_ce: 0.1822, decode.acc_seg: 92.5518, loss: 0.1822 +2023-03-04 10:25:01,609 - mmseg - INFO - Iter [151800/160000] lr: 1.875e-05, eta: 0:29:54, time: 0.191, data_time: 0.008, memory: 52540, decode.loss_ce: 0.1828, decode.acc_seg: 92.4430, loss: 0.1828 +2023-03-04 10:25:11,605 - mmseg - INFO - Iter [151850/160000] lr: 1.875e-05, eta: 0:29:43, time: 0.200, data_time: 0.008, memory: 52540, decode.loss_ce: 0.1768, decode.acc_seg: 92.8045, loss: 0.1768 +2023-03-04 10:25:21,233 - mmseg - INFO - Iter [151900/160000] lr: 1.875e-05, eta: 0:29:32, time: 0.193, data_time: 0.008, memory: 52540, decode.loss_ce: 0.1751, decode.acc_seg: 92.7535, loss: 0.1751 +2023-03-04 10:25:30,761 - mmseg - INFO - Iter [151950/160000] lr: 1.875e-05, eta: 0:29:21, time: 0.191, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1884, decode.acc_seg: 92.3863, loss: 0.1884 +2023-03-04 10:25:40,626 - mmseg - INFO - Exp name: ablation_segformer_mit_b2_segformer_head_unet_fc_small_multi_step_ade_pretrained_freeze_embed_160k_ade20k151_finetune_ema_t50.py +2023-03-04 10:25:40,626 - mmseg - INFO - Iter [152000/160000] lr: 1.875e-05, eta: 0:29:10, time: 0.197, data_time: 0.008, memory: 52540, decode.loss_ce: 0.1856, decode.acc_seg: 92.3924, loss: 0.1856 +2023-03-04 10:25:50,163 - mmseg - INFO - Iter [152050/160000] lr: 1.875e-05, eta: 0:28:59, time: 0.191, data_time: 0.008, memory: 52540, decode.loss_ce: 0.1774, decode.acc_seg: 92.5711, loss: 0.1774 +2023-03-04 10:26:02,565 - mmseg - INFO - Iter [152100/160000] lr: 1.875e-05, eta: 0:28:48, time: 0.248, data_time: 0.056, memory: 52540, decode.loss_ce: 0.1817, decode.acc_seg: 92.3864, loss: 0.1817 +2023-03-04 10:26:12,067 - mmseg - INFO - Iter [152150/160000] lr: 1.875e-05, eta: 0:28:37, time: 0.190, data_time: 0.008, memory: 52540, decode.loss_ce: 0.1853, decode.acc_seg: 92.4307, loss: 0.1853 +2023-03-04 10:26:21,930 - mmseg - INFO - Iter [152200/160000] lr: 1.875e-05, eta: 0:28:26, time: 0.197, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1798, decode.acc_seg: 92.5892, loss: 0.1798 +2023-03-04 10:26:31,588 - mmseg - INFO - Iter [152250/160000] lr: 1.875e-05, eta: 0:28:15, time: 0.193, data_time: 0.008, memory: 52540, decode.loss_ce: 0.1758, decode.acc_seg: 92.8109, loss: 0.1758 +2023-03-04 10:26:41,086 - mmseg - INFO - Iter [152300/160000] lr: 1.875e-05, eta: 0:28:04, time: 0.190, data_time: 0.008, memory: 52540, decode.loss_ce: 0.1832, decode.acc_seg: 92.4162, loss: 0.1832 +2023-03-04 10:26:50,697 - mmseg - INFO - Iter [152350/160000] lr: 1.875e-05, eta: 0:27:53, time: 0.192, data_time: 0.008, memory: 52540, decode.loss_ce: 0.1779, decode.acc_seg: 92.6323, loss: 0.1779 +2023-03-04 10:27:00,274 - mmseg - INFO - Iter [152400/160000] lr: 1.875e-05, eta: 0:27:42, time: 0.192, data_time: 0.008, memory: 52540, decode.loss_ce: 0.1896, decode.acc_seg: 92.2602, loss: 0.1896 +2023-03-04 10:27:09,754 - mmseg - INFO - Iter [152450/160000] lr: 1.875e-05, eta: 0:27:31, time: 0.190, data_time: 0.008, memory: 52540, decode.loss_ce: 0.1798, decode.acc_seg: 92.6196, loss: 0.1798 +2023-03-04 10:27:19,206 - mmseg - INFO - Iter [152500/160000] lr: 1.875e-05, eta: 0:27:20, time: 0.189, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1821, decode.acc_seg: 92.5212, loss: 0.1821 +2023-03-04 10:27:28,909 - mmseg - INFO - Iter [152550/160000] lr: 1.875e-05, eta: 0:27:09, time: 0.194, data_time: 0.008, memory: 52540, decode.loss_ce: 0.1784, decode.acc_seg: 92.7440, loss: 0.1784 +2023-03-04 10:27:38,373 - mmseg - INFO - Iter [152600/160000] lr: 1.875e-05, eta: 0:26:58, time: 0.189, data_time: 0.008, memory: 52540, decode.loss_ce: 0.1799, decode.acc_seg: 92.7272, loss: 0.1799 +2023-03-04 10:27:47,951 - mmseg - INFO - Iter [152650/160000] lr: 1.875e-05, eta: 0:26:47, time: 0.192, data_time: 0.008, memory: 52540, decode.loss_ce: 0.1832, decode.acc_seg: 92.3496, loss: 0.1832 +2023-03-04 10:27:57,392 - mmseg - INFO - Iter [152700/160000] lr: 1.875e-05, eta: 0:26:36, time: 0.189, data_time: 0.008, memory: 52540, decode.loss_ce: 0.1818, decode.acc_seg: 92.4537, loss: 0.1818 +2023-03-04 10:28:09,850 - mmseg - INFO - Iter [152750/160000] lr: 1.875e-05, eta: 0:26:25, time: 0.249, data_time: 0.054, memory: 52540, decode.loss_ce: 0.1778, decode.acc_seg: 92.7025, loss: 0.1778 +2023-03-04 10:28:19,328 - mmseg - INFO - Iter [152800/160000] lr: 1.875e-05, eta: 0:26:14, time: 0.190, data_time: 0.008, memory: 52540, decode.loss_ce: 0.1835, decode.acc_seg: 92.4993, loss: 0.1835 +2023-03-04 10:28:29,145 - mmseg - INFO - Iter [152850/160000] lr: 1.875e-05, eta: 0:26:03, time: 0.196, data_time: 0.008, memory: 52540, decode.loss_ce: 0.1868, decode.acc_seg: 92.4144, loss: 0.1868 +2023-03-04 10:28:38,656 - mmseg - INFO - Iter [152900/160000] lr: 1.875e-05, eta: 0:25:52, time: 0.190, data_time: 0.008, memory: 52540, decode.loss_ce: 0.1808, decode.acc_seg: 92.4913, loss: 0.1808 +2023-03-04 10:28:48,317 - mmseg - INFO - Iter [152950/160000] lr: 1.875e-05, eta: 0:25:41, time: 0.193, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1856, decode.acc_seg: 92.2107, loss: 0.1856 +2023-03-04 10:28:57,879 - mmseg - INFO - Exp name: ablation_segformer_mit_b2_segformer_head_unet_fc_small_multi_step_ade_pretrained_freeze_embed_160k_ade20k151_finetune_ema_t50.py +2023-03-04 10:28:57,879 - mmseg - INFO - Iter [153000/160000] lr: 1.875e-05, eta: 0:25:30, time: 0.191, data_time: 0.008, memory: 52540, decode.loss_ce: 0.1882, decode.acc_seg: 92.3597, loss: 0.1882 +2023-03-04 10:29:07,581 - mmseg - INFO - Iter [153050/160000] lr: 1.875e-05, eta: 0:25:19, time: 0.194, data_time: 0.008, memory: 52540, decode.loss_ce: 0.1830, decode.acc_seg: 92.4583, loss: 0.1830 +2023-03-04 10:29:17,035 - mmseg - INFO - Iter [153100/160000] lr: 1.875e-05, eta: 0:25:08, time: 0.189, data_time: 0.008, memory: 52540, decode.loss_ce: 0.1789, decode.acc_seg: 92.6656, loss: 0.1789 +2023-03-04 10:29:27,297 - mmseg - INFO - Iter [153150/160000] lr: 1.875e-05, eta: 0:24:57, time: 0.205, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1920, decode.acc_seg: 92.2805, loss: 0.1920 +2023-03-04 10:29:37,016 - mmseg - INFO - Iter [153200/160000] lr: 1.875e-05, eta: 0:24:46, time: 0.194, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1852, decode.acc_seg: 92.3041, loss: 0.1852 +2023-03-04 10:29:46,442 - mmseg - INFO - Iter [153250/160000] lr: 1.875e-05, eta: 0:24:35, time: 0.189, data_time: 0.008, memory: 52540, decode.loss_ce: 0.1809, decode.acc_seg: 92.5430, loss: 0.1809 +2023-03-04 10:29:56,302 - mmseg - INFO - Iter [153300/160000] lr: 1.875e-05, eta: 0:24:24, time: 0.197, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1754, decode.acc_seg: 92.8131, loss: 0.1754 +2023-03-04 10:30:08,543 - mmseg - INFO - Iter [153350/160000] lr: 1.875e-05, eta: 0:24:13, time: 0.245, data_time: 0.055, memory: 52540, decode.loss_ce: 0.1882, decode.acc_seg: 92.3704, loss: 0.1882 +2023-03-04 10:30:18,236 - mmseg - INFO - Iter [153400/160000] lr: 1.875e-05, eta: 0:24:02, time: 0.194, data_time: 0.008, memory: 52540, decode.loss_ce: 0.1712, decode.acc_seg: 92.9357, loss: 0.1712 +2023-03-04 10:30:28,040 - mmseg - INFO - Iter [153450/160000] lr: 1.875e-05, eta: 0:23:51, time: 0.196, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1723, decode.acc_seg: 92.8735, loss: 0.1723 +2023-03-04 10:30:37,941 - mmseg - INFO - Iter [153500/160000] lr: 1.875e-05, eta: 0:23:40, time: 0.198, data_time: 0.008, memory: 52540, decode.loss_ce: 0.1826, decode.acc_seg: 92.6136, loss: 0.1826 +2023-03-04 10:30:47,515 - mmseg - INFO - Iter [153550/160000] lr: 1.875e-05, eta: 0:23:29, time: 0.191, data_time: 0.008, memory: 52540, decode.loss_ce: 0.1859, decode.acc_seg: 92.2963, loss: 0.1859 +2023-03-04 10:30:56,996 - mmseg - INFO - Iter [153600/160000] lr: 1.875e-05, eta: 0:23:18, time: 0.190, data_time: 0.008, memory: 52540, decode.loss_ce: 0.1831, decode.acc_seg: 92.5311, loss: 0.1831 +2023-03-04 10:31:06,587 - mmseg - INFO - Iter [153650/160000] lr: 1.875e-05, eta: 0:23:07, time: 0.192, data_time: 0.008, memory: 52540, decode.loss_ce: 0.1808, decode.acc_seg: 92.5638, loss: 0.1808 +2023-03-04 10:31:16,405 - mmseg - INFO - Iter [153700/160000] lr: 1.875e-05, eta: 0:22:56, time: 0.196, data_time: 0.008, memory: 52540, decode.loss_ce: 0.1843, decode.acc_seg: 92.3949, loss: 0.1843 +2023-03-04 10:31:25,928 - mmseg - INFO - Iter [153750/160000] lr: 1.875e-05, eta: 0:22:45, time: 0.190, data_time: 0.008, memory: 52540, decode.loss_ce: 0.1841, decode.acc_seg: 92.5173, loss: 0.1841 +2023-03-04 10:31:35,381 - mmseg - INFO - Iter [153800/160000] lr: 1.875e-05, eta: 0:22:34, time: 0.189, data_time: 0.008, memory: 52540, decode.loss_ce: 0.1798, decode.acc_seg: 92.6135, loss: 0.1798 +2023-03-04 10:31:45,210 - mmseg - INFO - Iter [153850/160000] lr: 1.875e-05, eta: 0:22:23, time: 0.197, data_time: 0.008, memory: 52540, decode.loss_ce: 0.1882, decode.acc_seg: 92.2159, loss: 0.1882 +2023-03-04 10:31:54,761 - mmseg - INFO - Iter [153900/160000] lr: 1.875e-05, eta: 0:22:12, time: 0.191, data_time: 0.008, memory: 52540, decode.loss_ce: 0.1805, decode.acc_seg: 92.6368, loss: 0.1805 +2023-03-04 10:32:04,457 - mmseg - INFO - Iter [153950/160000] lr: 1.875e-05, eta: 0:22:01, time: 0.194, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1890, decode.acc_seg: 92.2665, loss: 0.1890 +2023-03-04 10:32:16,600 - mmseg - INFO - Exp name: ablation_segformer_mit_b2_segformer_head_unet_fc_small_multi_step_ade_pretrained_freeze_embed_160k_ade20k151_finetune_ema_t50.py +2023-03-04 10:32:16,601 - mmseg - INFO - Iter [154000/160000] lr: 1.875e-05, eta: 0:21:50, time: 0.243, data_time: 0.057, memory: 52540, decode.loss_ce: 0.1904, decode.acc_seg: 92.2887, loss: 0.1904 +2023-03-04 10:32:26,241 - mmseg - INFO - Iter [154050/160000] lr: 1.875e-05, eta: 0:21:40, time: 0.193, data_time: 0.008, memory: 52540, decode.loss_ce: 0.1755, decode.acc_seg: 92.7047, loss: 0.1755 +2023-03-04 10:32:36,060 - mmseg - INFO - Iter [154100/160000] lr: 1.875e-05, eta: 0:21:29, time: 0.196, data_time: 0.008, memory: 52540, decode.loss_ce: 0.1839, decode.acc_seg: 92.3407, loss: 0.1839 +2023-03-04 10:32:45,574 - mmseg - INFO - Iter [154150/160000] lr: 1.875e-05, eta: 0:21:18, time: 0.190, data_time: 0.008, memory: 52540, decode.loss_ce: 0.1696, decode.acc_seg: 92.8807, loss: 0.1696 +2023-03-04 10:32:55,130 - mmseg - INFO - Iter [154200/160000] lr: 1.875e-05, eta: 0:21:07, time: 0.191, data_time: 0.008, memory: 52540, decode.loss_ce: 0.1802, decode.acc_seg: 92.6995, loss: 0.1802 +2023-03-04 10:33:04,905 - mmseg - INFO - Iter [154250/160000] lr: 1.875e-05, eta: 0:20:56, time: 0.195, data_time: 0.008, memory: 52540, decode.loss_ce: 0.1856, decode.acc_seg: 92.4672, loss: 0.1856 +2023-03-04 10:33:14,583 - mmseg - INFO - Iter [154300/160000] lr: 1.875e-05, eta: 0:20:45, time: 0.194, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1856, decode.acc_seg: 92.4921, loss: 0.1856 +2023-03-04 10:33:24,089 - mmseg - INFO - Iter [154350/160000] lr: 1.875e-05, eta: 0:20:34, time: 0.190, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1930, decode.acc_seg: 92.1811, loss: 0.1930 +2023-03-04 10:33:33,738 - mmseg - INFO - Iter [154400/160000] lr: 1.875e-05, eta: 0:20:23, time: 0.193, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1852, decode.acc_seg: 92.2663, loss: 0.1852 +2023-03-04 10:33:43,770 - mmseg - INFO - Iter [154450/160000] lr: 1.875e-05, eta: 0:20:12, time: 0.201, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1786, decode.acc_seg: 92.4458, loss: 0.1786 +2023-03-04 10:33:53,718 - mmseg - INFO - Iter [154500/160000] lr: 1.875e-05, eta: 0:20:01, time: 0.199, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1811, decode.acc_seg: 92.6587, loss: 0.1811 +2023-03-04 10:34:03,134 - mmseg - INFO - Iter [154550/160000] lr: 1.875e-05, eta: 0:19:50, time: 0.188, data_time: 0.008, memory: 52540, decode.loss_ce: 0.1763, decode.acc_seg: 92.6987, loss: 0.1763 +2023-03-04 10:34:15,255 - mmseg - INFO - Iter [154600/160000] lr: 1.875e-05, eta: 0:19:39, time: 0.242, data_time: 0.055, memory: 52540, decode.loss_ce: 0.1776, decode.acc_seg: 92.6304, loss: 0.1776 +2023-03-04 10:34:24,751 - mmseg - INFO - Iter [154650/160000] lr: 1.875e-05, eta: 0:19:28, time: 0.190, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1824, decode.acc_seg: 92.3080, loss: 0.1824 +2023-03-04 10:34:34,321 - mmseg - INFO - Iter [154700/160000] lr: 1.875e-05, eta: 0:19:17, time: 0.191, data_time: 0.008, memory: 52540, decode.loss_ce: 0.1865, decode.acc_seg: 92.3399, loss: 0.1865 +2023-03-04 10:34:43,836 - mmseg - INFO - Iter [154750/160000] lr: 1.875e-05, eta: 0:19:06, time: 0.190, data_time: 0.008, memory: 52540, decode.loss_ce: 0.1818, decode.acc_seg: 92.5010, loss: 0.1818 +2023-03-04 10:34:53,303 - mmseg - INFO - Iter [154800/160000] lr: 1.875e-05, eta: 0:18:55, time: 0.189, data_time: 0.008, memory: 52540, decode.loss_ce: 0.1783, decode.acc_seg: 92.5966, loss: 0.1783 +2023-03-04 10:35:02,866 - mmseg - INFO - Iter [154850/160000] lr: 1.875e-05, eta: 0:18:44, time: 0.191, data_time: 0.008, memory: 52540, decode.loss_ce: 0.1756, decode.acc_seg: 92.6793, loss: 0.1756 +2023-03-04 10:35:12,434 - mmseg - INFO - Iter [154900/160000] lr: 1.875e-05, eta: 0:18:33, time: 0.191, data_time: 0.008, memory: 52540, decode.loss_ce: 0.1814, decode.acc_seg: 92.4612, loss: 0.1814 +2023-03-04 10:35:22,022 - mmseg - INFO - Iter [154950/160000] lr: 1.875e-05, eta: 0:18:22, time: 0.192, data_time: 0.008, memory: 52540, decode.loss_ce: 0.1803, decode.acc_seg: 92.6120, loss: 0.1803 +2023-03-04 10:35:31,682 - mmseg - INFO - Exp name: ablation_segformer_mit_b2_segformer_head_unet_fc_small_multi_step_ade_pretrained_freeze_embed_160k_ade20k151_finetune_ema_t50.py +2023-03-04 10:35:31,682 - mmseg - INFO - Iter [155000/160000] lr: 1.875e-05, eta: 0:18:11, time: 0.193, data_time: 0.008, memory: 52540, decode.loss_ce: 0.1862, decode.acc_seg: 92.3881, loss: 0.1862 +2023-03-04 10:35:41,107 - mmseg - INFO - Iter [155050/160000] lr: 1.875e-05, eta: 0:18:00, time: 0.188, data_time: 0.008, memory: 52540, decode.loss_ce: 0.1839, decode.acc_seg: 92.3907, loss: 0.1839 +2023-03-04 10:35:50,776 - mmseg - INFO - Iter [155100/160000] lr: 1.875e-05, eta: 0:17:49, time: 0.193, data_time: 0.008, memory: 52540, decode.loss_ce: 0.1809, decode.acc_seg: 92.5141, loss: 0.1809 +2023-03-04 10:36:00,580 - mmseg - INFO - Iter [155150/160000] lr: 1.875e-05, eta: 0:17:38, time: 0.196, data_time: 0.008, memory: 52540, decode.loss_ce: 0.1826, decode.acc_seg: 92.5122, loss: 0.1826 +2023-03-04 10:36:10,351 - mmseg - INFO - Iter [155200/160000] lr: 1.875e-05, eta: 0:17:27, time: 0.196, data_time: 0.008, memory: 52540, decode.loss_ce: 0.1923, decode.acc_seg: 92.1661, loss: 0.1923 +2023-03-04 10:36:22,414 - mmseg - INFO - Iter [155250/160000] lr: 1.875e-05, eta: 0:17:17, time: 0.241, data_time: 0.051, memory: 52540, decode.loss_ce: 0.1858, decode.acc_seg: 92.3515, loss: 0.1858 +2023-03-04 10:36:32,115 - mmseg - INFO - Iter [155300/160000] lr: 1.875e-05, eta: 0:17:06, time: 0.194, data_time: 0.008, memory: 52540, decode.loss_ce: 0.1853, decode.acc_seg: 92.5581, loss: 0.1853 +2023-03-04 10:36:41,793 - mmseg - INFO - Iter [155350/160000] lr: 1.875e-05, eta: 0:16:55, time: 0.194, data_time: 0.008, memory: 52540, decode.loss_ce: 0.1795, decode.acc_seg: 92.6309, loss: 0.1795 +2023-03-04 10:36:51,339 - mmseg - INFO - Iter [155400/160000] lr: 1.875e-05, eta: 0:16:44, time: 0.191, data_time: 0.008, memory: 52540, decode.loss_ce: 0.1859, decode.acc_seg: 92.4109, loss: 0.1859 +2023-03-04 10:37:00,772 - mmseg - INFO - Iter [155450/160000] lr: 1.875e-05, eta: 0:16:33, time: 0.189, data_time: 0.008, memory: 52540, decode.loss_ce: 0.1815, decode.acc_seg: 92.4536, loss: 0.1815 +2023-03-04 10:37:10,328 - mmseg - INFO - Iter [155500/160000] lr: 1.875e-05, eta: 0:16:22, time: 0.191, data_time: 0.008, memory: 52540, decode.loss_ce: 0.1742, decode.acc_seg: 92.7648, loss: 0.1742 +2023-03-04 10:37:19,926 - mmseg - INFO - Iter [155550/160000] lr: 1.875e-05, eta: 0:16:11, time: 0.192, data_time: 0.008, memory: 52540, decode.loss_ce: 0.1729, decode.acc_seg: 92.8109, loss: 0.1729 +2023-03-04 10:37:29,489 - mmseg - INFO - Iter [155600/160000] lr: 1.875e-05, eta: 0:16:00, time: 0.191, data_time: 0.008, memory: 52540, decode.loss_ce: 0.1827, decode.acc_seg: 92.4504, loss: 0.1827 +2023-03-04 10:37:39,534 - mmseg - INFO - Iter [155650/160000] lr: 1.875e-05, eta: 0:15:49, time: 0.201, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1819, decode.acc_seg: 92.4140, loss: 0.1819 +2023-03-04 10:37:49,089 - mmseg - INFO - Iter [155700/160000] lr: 1.875e-05, eta: 0:15:38, time: 0.191, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1826, decode.acc_seg: 92.5382, loss: 0.1826 +2023-03-04 10:37:58,677 - mmseg - INFO - Iter [155750/160000] lr: 1.875e-05, eta: 0:15:27, time: 0.192, data_time: 0.008, memory: 52540, decode.loss_ce: 0.1932, decode.acc_seg: 92.0592, loss: 0.1932 +2023-03-04 10:38:08,142 - mmseg - INFO - Iter [155800/160000] lr: 1.875e-05, eta: 0:15:16, time: 0.189, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1766, decode.acc_seg: 92.7336, loss: 0.1766 +2023-03-04 10:38:17,689 - mmseg - INFO - Iter [155850/160000] lr: 1.875e-05, eta: 0:15:05, time: 0.191, data_time: 0.008, memory: 52540, decode.loss_ce: 0.1872, decode.acc_seg: 92.3888, loss: 0.1872 +2023-03-04 10:38:30,238 - mmseg - INFO - Iter [155900/160000] lr: 1.875e-05, eta: 0:14:54, time: 0.251, data_time: 0.054, memory: 52540, decode.loss_ce: 0.1789, decode.acc_seg: 92.6233, loss: 0.1789 +2023-03-04 10:38:40,177 - mmseg - INFO - Iter [155950/160000] lr: 1.875e-05, eta: 0:14:43, time: 0.199, data_time: 0.008, memory: 52540, decode.loss_ce: 0.1815, decode.acc_seg: 92.5505, loss: 0.1815 +2023-03-04 10:38:49,830 - mmseg - INFO - Exp name: ablation_segformer_mit_b2_segformer_head_unet_fc_small_multi_step_ade_pretrained_freeze_embed_160k_ade20k151_finetune_ema_t50.py +2023-03-04 10:38:49,831 - mmseg - INFO - Iter [156000/160000] lr: 1.875e-05, eta: 0:14:32, time: 0.193, data_time: 0.008, memory: 52540, decode.loss_ce: 0.1847, decode.acc_seg: 92.4688, loss: 0.1847 +2023-03-04 10:38:59,807 - mmseg - INFO - Iter [156050/160000] lr: 1.875e-05, eta: 0:14:21, time: 0.200, data_time: 0.008, memory: 52540, decode.loss_ce: 0.1800, decode.acc_seg: 92.6914, loss: 0.1800 +2023-03-04 10:39:09,362 - mmseg - INFO - Iter [156100/160000] lr: 1.875e-05, eta: 0:14:10, time: 0.191, data_time: 0.008, memory: 52540, decode.loss_ce: 0.1787, decode.acc_seg: 92.5511, loss: 0.1787 +2023-03-04 10:39:18,867 - mmseg - INFO - Iter [156150/160000] lr: 1.875e-05, eta: 0:14:00, time: 0.190, data_time: 0.008, memory: 52540, decode.loss_ce: 0.1731, decode.acc_seg: 92.8428, loss: 0.1731 +2023-03-04 10:39:28,499 - mmseg - INFO - Iter [156200/160000] lr: 1.875e-05, eta: 0:13:49, time: 0.193, data_time: 0.008, memory: 52540, decode.loss_ce: 0.1822, decode.acc_seg: 92.5313, loss: 0.1822 +2023-03-04 10:39:37,953 - mmseg - INFO - Iter [156250/160000] lr: 1.875e-05, eta: 0:13:38, time: 0.189, data_time: 0.008, memory: 52540, decode.loss_ce: 0.1782, decode.acc_seg: 92.6176, loss: 0.1782 +2023-03-04 10:39:47,740 - mmseg - INFO - Iter [156300/160000] lr: 1.875e-05, eta: 0:13:27, time: 0.196, data_time: 0.008, memory: 52540, decode.loss_ce: 0.1829, decode.acc_seg: 92.5555, loss: 0.1829 +2023-03-04 10:39:57,396 - mmseg - INFO - Iter [156350/160000] lr: 1.875e-05, eta: 0:13:16, time: 0.193, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1821, decode.acc_seg: 92.6042, loss: 0.1821 +2023-03-04 10:40:06,951 - mmseg - INFO - Iter [156400/160000] lr: 1.875e-05, eta: 0:13:05, time: 0.191, data_time: 0.008, memory: 52540, decode.loss_ce: 0.1758, decode.acc_seg: 92.7327, loss: 0.1758 +2023-03-04 10:40:16,965 - mmseg - INFO - Iter [156450/160000] lr: 1.875e-05, eta: 0:12:54, time: 0.201, data_time: 0.008, memory: 52540, decode.loss_ce: 0.1776, decode.acc_seg: 92.7422, loss: 0.1776 +2023-03-04 10:40:29,131 - mmseg - INFO - Iter [156500/160000] lr: 1.875e-05, eta: 0:12:43, time: 0.243, data_time: 0.053, memory: 52540, decode.loss_ce: 0.1815, decode.acc_seg: 92.5247, loss: 0.1815 +2023-03-04 10:40:38,667 - mmseg - INFO - Iter [156550/160000] lr: 1.875e-05, eta: 0:12:32, time: 0.191, data_time: 0.008, memory: 52540, decode.loss_ce: 0.1782, decode.acc_seg: 92.6342, loss: 0.1782 +2023-03-04 10:40:48,194 - mmseg - INFO - Iter [156600/160000] lr: 1.875e-05, eta: 0:12:21, time: 0.190, data_time: 0.008, memory: 52540, decode.loss_ce: 0.1817, decode.acc_seg: 92.5067, loss: 0.1817 +2023-03-04 10:40:57,791 - mmseg - INFO - Iter [156650/160000] lr: 1.875e-05, eta: 0:12:10, time: 0.192, data_time: 0.008, memory: 52540, decode.loss_ce: 0.1797, decode.acc_seg: 92.5335, loss: 0.1797 +2023-03-04 10:41:07,227 - mmseg - INFO - Iter [156700/160000] lr: 1.875e-05, eta: 0:11:59, time: 0.189, data_time: 0.008, memory: 52540, decode.loss_ce: 0.1757, decode.acc_seg: 92.8062, loss: 0.1757 +2023-03-04 10:41:16,978 - mmseg - INFO - Iter [156750/160000] lr: 1.875e-05, eta: 0:11:48, time: 0.195, data_time: 0.008, memory: 52540, decode.loss_ce: 0.1858, decode.acc_seg: 92.4394, loss: 0.1858 +2023-03-04 10:41:26,513 - mmseg - INFO - Iter [156800/160000] lr: 1.875e-05, eta: 0:11:37, time: 0.191, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1790, decode.acc_seg: 92.5550, loss: 0.1790 +2023-03-04 10:41:36,075 - mmseg - INFO - Iter [156850/160000] lr: 1.875e-05, eta: 0:11:27, time: 0.191, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1772, decode.acc_seg: 92.6276, loss: 0.1772 +2023-03-04 10:41:45,627 - mmseg - INFO - Iter [156900/160000] lr: 1.875e-05, eta: 0:11:16, time: 0.191, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1756, decode.acc_seg: 92.6813, loss: 0.1756 +2023-03-04 10:41:55,127 - mmseg - INFO - Iter [156950/160000] lr: 1.875e-05, eta: 0:11:05, time: 0.190, data_time: 0.008, memory: 52540, decode.loss_ce: 0.1779, decode.acc_seg: 92.6487, loss: 0.1779 +2023-03-04 10:42:05,519 - mmseg - INFO - Exp name: ablation_segformer_mit_b2_segformer_head_unet_fc_small_multi_step_ade_pretrained_freeze_embed_160k_ade20k151_finetune_ema_t50.py +2023-03-04 10:42:05,520 - mmseg - INFO - Iter [157000/160000] lr: 1.875e-05, eta: 0:10:54, time: 0.208, data_time: 0.008, memory: 52540, decode.loss_ce: 0.1856, decode.acc_seg: 92.4822, loss: 0.1856 +2023-03-04 10:42:15,290 - mmseg - INFO - Iter [157050/160000] lr: 1.875e-05, eta: 0:10:43, time: 0.195, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1836, decode.acc_seg: 92.4806, loss: 0.1836 +2023-03-04 10:42:24,890 - mmseg - INFO - Iter [157100/160000] lr: 1.875e-05, eta: 0:10:32, time: 0.192, data_time: 0.008, memory: 52540, decode.loss_ce: 0.1802, decode.acc_seg: 92.5127, loss: 0.1802 +2023-03-04 10:42:36,950 - mmseg - INFO - Iter [157150/160000] lr: 1.875e-05, eta: 0:10:21, time: 0.241, data_time: 0.057, memory: 52540, decode.loss_ce: 0.1820, decode.acc_seg: 92.4880, loss: 0.1820 +2023-03-04 10:42:46,450 - mmseg - INFO - Iter [157200/160000] lr: 1.875e-05, eta: 0:10:10, time: 0.190, data_time: 0.008, memory: 52540, decode.loss_ce: 0.1811, decode.acc_seg: 92.5307, loss: 0.1811 +2023-03-04 10:42:55,931 - mmseg - INFO - Iter [157250/160000] lr: 1.875e-05, eta: 0:09:59, time: 0.190, data_time: 0.008, memory: 52540, decode.loss_ce: 0.1768, decode.acc_seg: 92.5700, loss: 0.1768 +2023-03-04 10:43:05,910 - mmseg - INFO - Iter [157300/160000] lr: 1.875e-05, eta: 0:09:48, time: 0.200, data_time: 0.008, memory: 52540, decode.loss_ce: 0.1816, decode.acc_seg: 92.6897, loss: 0.1816 +2023-03-04 10:43:15,446 - mmseg - INFO - Iter [157350/160000] lr: 1.875e-05, eta: 0:09:37, time: 0.191, data_time: 0.008, memory: 52540, decode.loss_ce: 0.1810, decode.acc_seg: 92.5485, loss: 0.1810 +2023-03-04 10:43:24,950 - mmseg - INFO - Iter [157400/160000] lr: 1.875e-05, eta: 0:09:26, time: 0.190, data_time: 0.008, memory: 52540, decode.loss_ce: 0.1789, decode.acc_seg: 92.6585, loss: 0.1789 +2023-03-04 10:43:35,057 - mmseg - INFO - Iter [157450/160000] lr: 1.875e-05, eta: 0:09:15, time: 0.202, data_time: 0.008, memory: 52540, decode.loss_ce: 0.1723, decode.acc_seg: 92.8692, loss: 0.1723 +2023-03-04 10:43:44,933 - mmseg - INFO - Iter [157500/160000] lr: 1.875e-05, eta: 0:09:05, time: 0.198, data_time: 0.008, memory: 52540, decode.loss_ce: 0.1787, decode.acc_seg: 92.6146, loss: 0.1787 +2023-03-04 10:43:54,503 - mmseg - INFO - Iter [157550/160000] lr: 1.875e-05, eta: 0:08:54, time: 0.191, data_time: 0.008, memory: 52540, decode.loss_ce: 0.1816, decode.acc_seg: 92.4444, loss: 0.1816 +2023-03-04 10:44:04,541 - mmseg - INFO - Iter [157600/160000] lr: 1.875e-05, eta: 0:08:43, time: 0.201, data_time: 0.009, memory: 52540, decode.loss_ce: 0.1904, decode.acc_seg: 92.3308, loss: 0.1904 +2023-03-04 10:44:14,483 - mmseg - INFO - Iter [157650/160000] lr: 1.875e-05, eta: 0:08:32, time: 0.199, data_time: 0.008, memory: 52540, decode.loss_ce: 0.1794, decode.acc_seg: 92.6020, loss: 0.1794 +2023-03-04 10:44:24,183 - mmseg - INFO - Iter [157700/160000] lr: 1.875e-05, eta: 0:08:21, time: 0.194, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1951, decode.acc_seg: 92.1431, loss: 0.1951 +2023-03-04 10:44:33,714 - mmseg - INFO - Iter [157750/160000] lr: 1.875e-05, eta: 0:08:10, time: 0.191, data_time: 0.008, memory: 52540, decode.loss_ce: 0.1818, decode.acc_seg: 92.5267, loss: 0.1818 +2023-03-04 10:44:46,021 - mmseg - INFO - Iter [157800/160000] lr: 1.875e-05, eta: 0:07:59, time: 0.246, data_time: 0.055, memory: 52540, decode.loss_ce: 0.1808, decode.acc_seg: 92.6074, loss: 0.1808 +2023-03-04 10:44:55,602 - mmseg - INFO - Iter [157850/160000] lr: 1.875e-05, eta: 0:07:48, time: 0.192, data_time: 0.008, memory: 52540, decode.loss_ce: 0.1778, decode.acc_seg: 92.7275, loss: 0.1778 +2023-03-04 10:45:05,335 - mmseg - INFO - Iter [157900/160000] lr: 1.875e-05, eta: 0:07:37, time: 0.195, data_time: 0.008, memory: 52540, decode.loss_ce: 0.1773, decode.acc_seg: 92.4977, loss: 0.1773 +2023-03-04 10:45:14,851 - mmseg - INFO - Iter [157950/160000] lr: 1.875e-05, eta: 0:07:26, time: 0.190, data_time: 0.008, memory: 52540, decode.loss_ce: 0.1741, decode.acc_seg: 92.8302, loss: 0.1741 +2023-03-04 10:45:24,705 - mmseg - INFO - Exp name: ablation_segformer_mit_b2_segformer_head_unet_fc_small_multi_step_ade_pretrained_freeze_embed_160k_ade20k151_finetune_ema_t50.py +2023-03-04 10:45:24,705 - mmseg - INFO - Iter [158000/160000] lr: 1.875e-05, eta: 0:07:15, time: 0.197, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1836, decode.acc_seg: 92.3487, loss: 0.1836 +2023-03-04 10:45:34,188 - mmseg - INFO - Iter [158050/160000] lr: 1.875e-05, eta: 0:07:04, time: 0.190, data_time: 0.008, memory: 52540, decode.loss_ce: 0.1779, decode.acc_seg: 92.6593, loss: 0.1779 +2023-03-04 10:45:43,787 - mmseg - INFO - Iter [158100/160000] lr: 1.875e-05, eta: 0:06:54, time: 0.192, data_time: 0.008, memory: 52540, decode.loss_ce: 0.1757, decode.acc_seg: 92.6038, loss: 0.1757 +2023-03-04 10:45:53,477 - mmseg - INFO - Iter [158150/160000] lr: 1.875e-05, eta: 0:06:43, time: 0.194, data_time: 0.008, memory: 52540, decode.loss_ce: 0.1776, decode.acc_seg: 92.7051, loss: 0.1776 +2023-03-04 10:46:03,161 - mmseg - INFO - Iter [158200/160000] lr: 1.875e-05, eta: 0:06:32, time: 0.194, data_time: 0.008, memory: 52540, decode.loss_ce: 0.1788, decode.acc_seg: 92.6980, loss: 0.1788 +2023-03-04 10:46:12,680 - mmseg - INFO - Iter [158250/160000] lr: 1.875e-05, eta: 0:06:21, time: 0.190, data_time: 0.008, memory: 52540, decode.loss_ce: 0.1885, decode.acc_seg: 92.3693, loss: 0.1885 +2023-03-04 10:46:22,229 - mmseg - INFO - Iter [158300/160000] lr: 1.875e-05, eta: 0:06:10, time: 0.191, data_time: 0.008, memory: 52540, decode.loss_ce: 0.1854, decode.acc_seg: 92.3427, loss: 0.1854 +2023-03-04 10:46:32,063 - mmseg - INFO - Iter [158350/160000] lr: 1.875e-05, eta: 0:05:59, time: 0.197, data_time: 0.008, memory: 52540, decode.loss_ce: 0.1784, decode.acc_seg: 92.5748, loss: 0.1784 +2023-03-04 10:46:44,265 - mmseg - INFO - Iter [158400/160000] lr: 1.875e-05, eta: 0:05:48, time: 0.244, data_time: 0.054, memory: 52540, decode.loss_ce: 0.1821, decode.acc_seg: 92.4756, loss: 0.1821 +2023-03-04 10:46:54,029 - mmseg - INFO - Iter [158450/160000] lr: 1.875e-05, eta: 0:05:37, time: 0.195, data_time: 0.008, memory: 52540, decode.loss_ce: 0.1785, decode.acc_seg: 92.6251, loss: 0.1785 +2023-03-04 10:47:03,852 - mmseg - INFO - Iter [158500/160000] lr: 1.875e-05, eta: 0:05:26, time: 0.196, data_time: 0.008, memory: 52540, decode.loss_ce: 0.1774, decode.acc_seg: 92.5030, loss: 0.1774 +2023-03-04 10:47:13,387 - mmseg - INFO - Iter [158550/160000] lr: 1.875e-05, eta: 0:05:15, time: 0.191, data_time: 0.008, memory: 52540, decode.loss_ce: 0.1805, decode.acc_seg: 92.6406, loss: 0.1805 +2023-03-04 10:47:22,817 - mmseg - INFO - Iter [158600/160000] lr: 1.875e-05, eta: 0:05:05, time: 0.189, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1873, decode.acc_seg: 92.4706, loss: 0.1873 +2023-03-04 10:47:32,331 - mmseg - INFO - Iter [158650/160000] lr: 1.875e-05, eta: 0:04:54, time: 0.190, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1848, decode.acc_seg: 92.4960, loss: 0.1848 +2023-03-04 10:47:42,046 - mmseg - INFO - Iter [158700/160000] lr: 1.875e-05, eta: 0:04:43, time: 0.194, data_time: 0.008, memory: 52540, decode.loss_ce: 0.1810, decode.acc_seg: 92.7008, loss: 0.1810 +2023-03-04 10:47:51,892 - mmseg - INFO - Iter [158750/160000] lr: 1.875e-05, eta: 0:04:32, time: 0.197, data_time: 0.008, memory: 52540, decode.loss_ce: 0.1753, decode.acc_seg: 92.6264, loss: 0.1753 +2023-03-04 10:48:01,555 - mmseg - INFO - Iter [158800/160000] lr: 1.875e-05, eta: 0:04:21, time: 0.193, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1785, decode.acc_seg: 92.7513, loss: 0.1785 +2023-03-04 10:48:11,227 - mmseg - INFO - Iter [158850/160000] lr: 1.875e-05, eta: 0:04:10, time: 0.193, data_time: 0.008, memory: 52540, decode.loss_ce: 0.1797, decode.acc_seg: 92.6794, loss: 0.1797 +2023-03-04 10:48:20,987 - mmseg - INFO - Iter [158900/160000] lr: 1.875e-05, eta: 0:03:59, time: 0.195, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1823, decode.acc_seg: 92.5890, loss: 0.1823 +2023-03-04 10:48:30,530 - mmseg - INFO - Iter [158950/160000] lr: 1.875e-05, eta: 0:03:48, time: 0.191, data_time: 0.008, memory: 52540, decode.loss_ce: 0.1798, decode.acc_seg: 92.5916, loss: 0.1798 +2023-03-04 10:48:40,270 - mmseg - INFO - Exp name: ablation_segformer_mit_b2_segformer_head_unet_fc_small_multi_step_ade_pretrained_freeze_embed_160k_ade20k151_finetune_ema_t50.py +2023-03-04 10:48:40,270 - mmseg - INFO - Iter [159000/160000] lr: 1.875e-05, eta: 0:03:37, time: 0.195, data_time: 0.008, memory: 52540, decode.loss_ce: 0.1714, decode.acc_seg: 92.8464, loss: 0.1714 +2023-03-04 10:48:52,266 - mmseg - INFO - Iter [159050/160000] lr: 1.875e-05, eta: 0:03:26, time: 0.240, data_time: 0.056, memory: 52540, decode.loss_ce: 0.1809, decode.acc_seg: 92.7384, loss: 0.1809 +2023-03-04 10:49:01,780 - mmseg - INFO - Iter [159100/160000] lr: 1.875e-05, eta: 0:03:16, time: 0.190, data_time: 0.008, memory: 52540, decode.loss_ce: 0.1843, decode.acc_seg: 92.4931, loss: 0.1843 +2023-03-04 10:49:11,289 - mmseg - INFO - Iter [159150/160000] lr: 1.875e-05, eta: 0:03:05, time: 0.190, data_time: 0.008, memory: 52540, decode.loss_ce: 0.1788, decode.acc_seg: 92.6196, loss: 0.1788 +2023-03-04 10:49:20,929 - mmseg - INFO - Iter [159200/160000] lr: 1.875e-05, eta: 0:02:54, time: 0.193, data_time: 0.008, memory: 52540, decode.loss_ce: 0.1798, decode.acc_seg: 92.6385, loss: 0.1798 +2023-03-04 10:49:30,390 - mmseg - INFO - Iter [159250/160000] lr: 1.875e-05, eta: 0:02:43, time: 0.189, data_time: 0.008, memory: 52540, decode.loss_ce: 0.1867, decode.acc_seg: 92.3738, loss: 0.1867 +2023-03-04 10:49:39,826 - mmseg - INFO - Iter [159300/160000] lr: 1.875e-05, eta: 0:02:32, time: 0.189, data_time: 0.008, memory: 52540, decode.loss_ce: 0.1841, decode.acc_seg: 92.4031, loss: 0.1841 +2023-03-04 10:49:49,384 - mmseg - INFO - Iter [159350/160000] lr: 1.875e-05, eta: 0:02:21, time: 0.191, data_time: 0.008, memory: 52540, decode.loss_ce: 0.1878, decode.acc_seg: 92.3090, loss: 0.1878 +2023-03-04 10:49:58,907 - mmseg - INFO - Iter [159400/160000] lr: 1.875e-05, eta: 0:02:10, time: 0.190, data_time: 0.008, memory: 52540, decode.loss_ce: 0.1810, decode.acc_seg: 92.5184, loss: 0.1810 +2023-03-04 10:50:08,401 - mmseg - INFO - Iter [159450/160000] lr: 1.875e-05, eta: 0:01:59, time: 0.190, data_time: 0.008, memory: 52540, decode.loss_ce: 0.1749, decode.acc_seg: 92.9560, loss: 0.1749 +2023-03-04 10:50:17,933 - mmseg - INFO - Iter [159500/160000] lr: 1.875e-05, eta: 0:01:48, time: 0.191, data_time: 0.008, memory: 52540, decode.loss_ce: 0.1711, decode.acc_seg: 92.8466, loss: 0.1711 +2023-03-04 10:50:27,646 - mmseg - INFO - Iter [159550/160000] lr: 1.875e-05, eta: 0:01:37, time: 0.194, data_time: 0.008, memory: 52540, decode.loss_ce: 0.1836, decode.acc_seg: 92.4470, loss: 0.1836 +2023-03-04 10:50:37,146 - mmseg - INFO - Iter [159600/160000] lr: 1.875e-05, eta: 0:01:27, time: 0.190, data_time: 0.008, memory: 52540, decode.loss_ce: 0.1783, decode.acc_seg: 92.6491, loss: 0.1783 +2023-03-04 10:50:49,204 - mmseg - INFO - Iter [159650/160000] lr: 1.875e-05, eta: 0:01:16, time: 0.241, data_time: 0.054, memory: 52540, decode.loss_ce: 0.1772, decode.acc_seg: 92.6886, loss: 0.1772 +2023-03-04 10:50:58,945 - mmseg - INFO - Iter [159700/160000] lr: 1.875e-05, eta: 0:01:05, time: 0.195, data_time: 0.008, memory: 52540, decode.loss_ce: 0.1770, decode.acc_seg: 92.8246, loss: 0.1770 +2023-03-04 10:51:08,980 - mmseg - INFO - Iter [159750/160000] lr: 1.875e-05, eta: 0:00:54, time: 0.201, data_time: 0.008, memory: 52540, decode.loss_ce: 0.1717, decode.acc_seg: 92.9846, loss: 0.1717 +2023-03-04 10:51:18,712 - mmseg - INFO - Iter [159800/160000] lr: 1.875e-05, eta: 0:00:43, time: 0.195, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1731, decode.acc_seg: 92.8560, loss: 0.1731 +2023-03-04 10:51:28,279 - mmseg - INFO - Iter [159850/160000] lr: 1.875e-05, eta: 0:00:32, time: 0.191, data_time: 0.008, memory: 52540, decode.loss_ce: 0.1834, decode.acc_seg: 92.4660, loss: 0.1834 +2023-03-04 10:51:37,858 - mmseg - INFO - Iter [159900/160000] lr: 1.875e-05, eta: 0:00:21, time: 0.192, data_time: 0.008, memory: 52540, decode.loss_ce: 0.1867, decode.acc_seg: 92.3106, loss: 0.1867 +2023-03-04 10:51:47,470 - mmseg - INFO - Iter [159950/160000] lr: 1.875e-05, eta: 0:00:10, time: 0.192, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1851, decode.acc_seg: 92.3545, loss: 0.1851 +2023-03-04 10:51:56,922 - mmseg - INFO - Swap parameters (after train) after iter [160000] +2023-03-04 10:51:56,935 - mmseg - INFO - Saving checkpoint at 160000 iterations +2023-03-04 10:51:57,946 - mmseg - INFO - Exp name: ablation_segformer_mit_b2_segformer_head_unet_fc_small_multi_step_ade_pretrained_freeze_embed_160k_ade20k151_finetune_ema_t50.py +2023-03-04 10:51:57,946 - mmseg - INFO - Iter [160000/160000] lr: 1.875e-05, eta: 0:00:00, time: 0.210, data_time: 0.008, memory: 52540, decode.loss_ce: 0.1816, decode.acc_seg: 92.5292, loss: 0.1816 +2023-03-04 10:57:50,903 - mmseg - INFO - per class results: +2023-03-04 10:57:50,911 - mmseg - INFO - ++---------------------+-------------------------------------------------------------------+ +| Class | IoU 0,5,10,15,20,25,30,35,40,45,49 | ++---------------------+-------------------------------------------------------------------+ +| background | nan,nan,nan,nan,nan,nan,nan,nan,nan,nan,nan | +| wall | 77.48,77.52,77.55,77.57,77.6,77.63,77.64,77.65,77.66,77.68,77.69 | +| building | 81.78,81.79,81.81,81.81,81.82,81.82,81.83,81.84,81.82,81.83,81.83 | +| sky | 94.38,94.39,94.39,94.39,94.39,94.4,94.39,94.4,94.39,94.4,94.4 | +| floor | 81.73,81.75,81.76,81.75,81.75,81.73,81.72,81.73,81.73,81.73,81.74 | +| tree | 74.43,74.47,74.51,74.55,74.57,74.58,74.62,74.57,74.6,74.58,74.58 | +| ceiling | 85.06,85.08,85.1,85.11,85.12,85.12,85.11,85.15,85.13,85.17,85.18 | +| road | 82.26,82.27,82.31,82.3,82.3,82.31,82.33,82.3,82.3,82.28,82.28 | +| bed | 87.76,87.79,87.82,87.79,87.82,87.85,87.88,87.87,87.92,87.88,87.89 | +| windowpane | 60.9,60.88,60.89,60.84,60.9,60.89,60.95,60.95,61.0,60.97,60.98 | +| grass | 67.06,67.16,67.16,67.23,67.28,67.34,67.35,67.41,67.42,67.52,67.54 | +| cabinet | 61.44,61.51,61.65,61.63,61.68,61.77,61.91,61.89,62.09,61.96,62.02 | +| sidewalk | 64.17,64.12,64.23,64.16,64.14,64.16,64.17,64.12,64.06,64.01,63.99 | +| person | 80.07,80.08,80.08,80.13,80.12,80.13,80.16,80.14,80.14,80.13,80.12 | +| earth | 36.34,36.37,36.38,36.43,36.35,36.4,36.29,36.21,36.12,36.07,36.02 | +| door | 46.15,46.25,46.28,46.31,46.39,46.45,46.38,46.38,46.43,46.38,46.38 | +| table | 61.88,61.97,62.1,62.22,62.25,62.35,62.37,62.35,62.42,62.41,62.44 | +| mountain | 57.72,57.86,57.95,58.01,58.09,58.18,58.12,58.24,58.18,58.25,58.24 | +| plant | 49.46,49.43,49.35,49.4,49.29,49.41,49.32,49.33,49.27,49.3,49.31 | +| curtain | 74.26,74.31,74.28,74.31,74.34,74.41,74.48,74.56,74.61,74.65,74.66 | +| chair | 57.47,57.53,57.55,57.63,57.64,57.61,57.63,57.61,57.57,57.61,57.61 | +| car | 81.8,81.81,81.87,81.87,81.91,81.92,81.95,82.01,82.01,82.06,82.1 | +| water | 57.2,57.26,57.33,57.36,57.44,57.49,57.55,57.59,57.66,57.69,57.73 | +| painting | 70.42,70.42,70.38,70.29,70.23,70.3,70.33,70.28,70.4,70.34,70.33 | +| sofa | 65.18,65.39,65.31,65.43,65.61,65.58,65.61,65.57,65.55,65.47,65.45 | +| shelf | 44.24,44.31,44.25,44.19,44.2,44.26,44.2,44.15,44.18,44.15,44.18 | +| house | 42.48,42.57,42.56,42.62,42.65,42.65,42.75,42.67,42.79,42.67,42.65 | +| sea | 60.38,60.43,60.52,60.51,60.58,60.6,60.68,60.76,60.85,60.94,60.99 | +| mirror | 67.18,67.24,67.53,67.56,67.86,67.79,67.97,68.01,68.2,68.18,68.24 | +| rug | 64.56,64.71,64.66,64.63,64.72,64.65,64.65,64.7,64.6,64.6,64.59 | +| field | 30.51,30.49,30.52,30.51,30.47,30.52,30.48,30.53,30.45,30.48,30.48 | +| armchair | 38.21,38.42,38.32,38.47,38.69,38.57,38.57,38.52,38.48,38.41,38.42 | +| seat | 66.3,66.3,66.34,66.42,66.4,66.51,66.41,66.57,66.41,66.46,66.43 | +| fence | 40.29,40.25,40.29,39.99,39.93,39.78,39.72,39.56,39.35,39.51,39.39 | +| desk | 47.35,47.31,47.39,47.36,47.29,47.35,47.35,47.47,47.47,47.51,47.54 | +| rock | 37.34,37.37,37.4,37.45,37.41,37.44,37.45,37.32,37.3,37.26,37.25 | +| wardrobe | 58.06,57.91,57.93,57.79,57.75,57.7,57.75,57.74,57.63,57.76,57.83 | +| lamp | 62.75,62.79,62.91,62.99,63.03,63.13,63.15,63.19,63.25,63.23,63.23 | +| bathtub | 75.73,75.85,75.65,75.67,75.51,75.41,75.38,75.33,75.36,75.35,75.34 | +| railing | 33.87,34.02,34.03,34.05,34.16,34.11,34.01,34.0,34.04,33.94,33.94 | +| cushion | 56.43,56.57,56.49,56.39,56.36,56.53,56.17,56.04,55.8,55.76,55.7 | +| base | 22.36,22.47,22.57,22.51,22.53,22.47,22.55,22.59,22.66,22.76,22.79 | +| box | 23.35,23.45,23.57,23.51,23.67,23.73,23.74,23.7,23.89,23.83,23.84 | +| column | 45.86,45.91,46.07,46.1,46.2,46.26,46.01,46.08,46.09,46.02,46.04 | +| signboard | 37.98,37.96,37.88,37.92,37.94,37.97,38.06,37.99,38.04,38.05,38.07 | +| chest of drawers | 36.76,36.86,36.93,37.02,36.92,36.91,36.94,36.97,37.09,36.96,36.97 | +| counter | 32.57,32.84,32.98,32.99,33.05,33.13,32.98,33.02,32.83,32.77,32.72 | +| sand | 43.34,43.43,43.52,43.62,43.72,43.79,43.85,43.95,44.02,44.08,44.1 | +| sink | 68.39,68.2,68.14,68.08,68.15,68.04,68.01,67.95,67.97,67.87,67.88 | +| skyscraper | 49.46,49.33,49.43,49.24,49.34,49.41,49.39,49.47,49.26,49.52,49.51 | +| fireplace | 76.33,76.37,76.39,76.35,76.44,76.5,76.54,76.52,76.49,76.52,76.51 | +| refrigerator | 76.32,76.54,76.73,77.16,77.2,77.08,77.27,76.98,77.25,76.63,76.62 | +| grandstand | 53.58,53.7,54.36,54.4,54.46,54.5,54.72,54.82,54.96,55.04,55.11 | +| path | 21.51,21.55,21.48,21.42,21.39,21.29,21.34,21.39,21.26,21.19,21.2 | +| stairs | 31.62,31.56,31.65,31.52,31.59,31.59,31.45,31.64,31.49,31.63,31.61 | +| runway | 67.42,67.41,67.4,67.52,67.64,67.65,67.67,67.71,67.75,67.8,67.79 | +| case | 47.5,47.79,47.99,48.21,48.29,48.27,48.6,48.35,48.72,48.53,48.53 | +| pool table | 91.94,91.99,92.07,92.16,92.18,92.18,92.24,92.24,92.28,92.26,92.3 | +| pillow | 61.54,61.91,61.82,61.68,61.68,62.22,61.39,61.75,61.05,61.5,61.39 | +| screen door | 72.27,72.16,72.32,72.26,72.4,72.03,72.35,71.97,72.17,72.0,71.95 | +| stairway | 23.92,23.91,24.04,23.98,24.05,24.06,24.1,24.11,24.1,24.17,24.2 | +| river | 11.9,11.87,11.84,11.86,11.86,11.81,11.83,11.77,11.82,11.76,11.75 | +| bridge | 28.89,28.88,28.94,29.01,29.23,29.3,29.47,29.54,29.65,29.65,29.65 | +| bookcase | 46.71,46.67,46.73,47.11,47.1,47.12,47.23,47.53,47.26,47.17,47.14 | +| blind | 41.61,41.4,41.27,41.38,41.32,41.33,41.6,41.69,41.86,41.78,41.83 | +| coffee table | 53.77,53.78,53.54,53.79,53.6,53.59,53.46,53.26,53.13,52.87,52.75 | +| toilet | 84.43,84.3,84.24,84.17,84.15,84.14,84.14,84.16,84.18,84.2,84.18 | +| flower | 38.8,38.79,38.66,38.91,38.82,38.82,38.95,38.91,38.93,38.88,38.92 | +| book | 45.13,44.92,44.91,44.84,44.91,44.85,44.84,44.94,44.75,44.92,44.91 | +| hill | 16.83,16.85,17.05,17.03,17.01,17.26,17.03,17.33,16.95,16.96,16.84 | +| bench | 43.96,44.11,44.03,43.87,43.46,43.02,43.01,42.63,42.37,42.36,42.28 | +| countertop | 56.83,57.35,57.3,57.47,57.49,57.56,57.48,57.41,57.39,57.36,57.4 | +| stove | 72.72,72.78,72.78,72.72,72.46,72.42,72.46,72.28,72.32,72.13,72.08 | +| palm | 48.93,49.0,48.94,49.06,49.05,49.1,49.08,49.04,49.05,48.99,48.99 | +| kitchen island | 49.18,49.39,49.78,49.66,50.02,50.19,50.36,50.44,50.64,50.56,50.56 | +| computer | 60.84,60.88,60.88,60.92,60.92,60.89,60.88,60.81,60.72,60.76,60.68 | +| swivel chair | 45.76,45.95,46.17,46.17,46.38,45.95,46.22,45.98,45.86,45.86,45.77 | +| boat | 71.36,71.56,71.57,71.78,72.13,72.39,72.81,73.39,73.53,73.45,73.58 | +| bar | 23.88,23.86,23.85,23.9,23.9,23.87,23.81,23.85,23.78,23.86,23.85 | +| arcade machine | 71.48,72.19,72.54,72.62,73.09,73.67,73.66,74.12,74.18,74.33,74.37 | +| hovel | 30.96,31.17,30.98,30.78,30.68,30.91,30.51,30.24,30.0,29.47,29.22 | +| bus | 79.14,79.13,79.11,79.15,79.15,79.13,79.01,79.02,79.01,79.01,78.97 | +| towel | 62.81,62.73,62.91,62.9,63.03,62.97,63.1,63.12,63.08,63.18,63.18 | +| light | 55.99,55.94,56.07,56.13,56.2,56.2,56.25,56.26,56.25,56.33,56.34 | +| truck | 18.63,18.45,18.52,18.36,18.65,18.17,18.21,18.33,18.23,18.03,18.09 | +| tower | 8.68,8.64,8.71,8.69,8.74,8.72,8.72,8.8,8.75,8.85,8.84 | +| chandelier | 64.18,64.29,64.23,64.26,64.22,64.13,64.16,64.05,64.08,64.14,64.16 | +| awning | 24.27,24.53,24.54,24.78,24.89,24.93,24.97,25.06,25.02,25.09,25.13 | +| streetlight | 27.79,27.93,27.97,28.0,28.15,28.26,28.32,28.43,28.41,28.5,28.6 | +| booth | 46.26,47.08,47.47,48.25,48.19,47.81,48.05,47.46,47.25,47.41,47.47 | +| television receiver | 64.83,64.79,64.8,65.03,64.95,65.01,65.0,65.12,65.08,65.18,65.18 | +| airplane | 59.68,59.67,59.64,59.54,59.78,59.72,59.79,59.58,59.47,59.46,59.46 | +| dirt track | 20.54,20.75,21.04,21.0,21.06,20.81,20.61,20.72,20.68,20.71,20.84 | +| apparel | 34.59,34.62,34.75,35.02,35.11,35.02,35.2,35.15,35.36,35.18,35.21 | +| pole | 19.24,19.25,19.07,19.1,18.91,18.96,18.85,18.77,18.96,18.92,19.02 | +| land | 3.53,3.59,3.59,3.55,3.56,3.54,3.43,3.55,3.44,3.54,3.52 | +| bannister | 13.16,13.17,13.23,13.06,13.21,13.12,13.02,12.93,13.03,12.89,12.9 | +| escalator | 23.63,23.68,23.87,23.83,23.85,23.85,23.72,23.93,24.04,23.9,23.96 | +| ottoman | 39.81,39.69,39.51,39.46,39.41,39.57,39.55,39.6,39.66,39.6,39.54 | +| bottle | 35.07,34.8,35.11,35.14,35.11,35.3,35.2,35.25,35.22,35.14,35.16 | +| buffet | 40.75,41.34,41.81,42.24,43.08,44.15,44.39,44.55,44.74,44.53,44.71 | +| poster | 22.86,22.95,23.09,23.03,22.85,22.85,23.09,22.87,23.16,23.26,23.29 | +| stage | 14.06,14.09,14.02,14.0,14.08,13.71,13.74,13.42,13.5,13.53,13.62 | +| van | 38.21,38.0,38.16,38.09,37.91,37.95,37.95,38.2,38.09,38.53,38.65 | +| ship | 82.38,82.45,82.53,82.55,82.66,82.77,82.71,82.95,82.68,82.89,82.93 | +| fountain | 20.45,20.84,21.09,21.38,21.53,21.9,22.02,22.06,22.18,22.28,22.3 | +| conveyer belt | 86.72,86.87,86.65,86.9,86.6,86.84,86.66,86.67,86.53,86.53,86.49 | +| canopy | 25.47,25.86,26.19,26.64,27.0,27.17,27.55,27.59,27.88,28.22,28.29 | +| washer | 75.09,75.12,75.11,75.39,75.36,75.14,75.19,75.34,75.38,75.26,75.34 | +| plaything | 20.88,20.99,21.01,21.03,21.02,21.09,20.97,20.95,21.1,21.11,21.11 | +| swimming pool | 73.7,73.87,73.89,73.85,73.77,73.61,73.53,73.2,73.34,72.95,72.8 | +| stool | 43.58,43.91,43.95,44.12,44.18,44.09,44.26,44.42,44.43,44.5,44.45 | +| barrel | 37.87,38.05,37.38,36.84,35.5,34.1,33.76,32.58,31.97,30.86,30.15 | +| basket | 24.29,24.22,24.38,24.27,24.3,24.31,24.3,24.42,24.39,24.46,24.52 | +| waterfall | 47.59,47.44,47.35,47.18,46.94,47.06,46.81,46.8,46.89,46.78,46.75 | +| tent | 93.57,93.77,93.84,93.97,94.15,94.22,94.16,94.45,94.54,94.63,94.66 | +| bag | 16.0,15.89,16.0,15.99,16.0,15.93,16.04,15.87,15.95,15.65,15.61 | +| minibike | 59.68,60.1,60.22,60.42,60.53,60.68,60.88,60.86,60.94,61.04,61.06 | +| cradle | 84.78,84.98,85.1,85.27,85.4,85.55,85.64,85.93,86.0,86.13,86.29 | +| oven | 45.14,45.53,46.17,46.62,47.19,47.32,47.91,48.14,48.43,48.75,48.89 | +| ball | 46.68,46.68,46.85,46.96,47.31,47.11,47.13,47.29,47.36,47.34,47.48 | +| food | 56.03,56.21,56.36,56.75,56.64,56.68,56.78,56.69,56.78,56.62,56.56 | +| step | 5.83,5.99,5.87,5.78,5.98,5.88,5.77,5.87,5.79,5.93,5.96 | +| tank | 47.51,47.59,47.55,47.55,47.75,47.68,47.93,47.77,47.98,47.98,48.0 | +| trade name | 27.38,27.25,27.2,27.15,27.14,26.83,27.02,27.27,27.1,27.28,27.24 | +| microwave | 70.68,71.05,71.82,72.47,73.06,73.11,73.53,73.88,74.01,74.22,74.36 | +| pot | 30.51,30.46,30.68,30.67,30.66,30.69,30.76,30.71,30.91,31.07,31.16 | +| animal | 54.62,54.59,54.6,54.34,54.24,54.25,54.35,54.27,54.38,54.31,54.29 | +| bicycle | 54.7,54.83,55.02,55.01,55.07,55.16,55.22,55.23,55.27,55.07,55.05 | +| lake | 57.71,57.75,57.77,57.79,57.96,58.03,58.19,58.29,58.41,58.52,58.56 | +| dishwasher | 66.85,66.96,66.8,66.91,66.91,66.88,66.97,66.96,67.1,67.21,67.12 | +| screen | 67.89,67.78,67.67,67.71,67.62,67.59,67.4,67.2,67.18,66.95,66.66 | +| blanket | 17.36,17.47,17.51,17.7,17.82,18.01,17.97,17.99,18.16,18.12,18.2 | +| sculpture | 56.91,57.11,56.71,56.81,56.66,56.45,56.35,56.42,56.44,56.5,56.38 | +| hood | 58.23,58.16,57.15,56.87,56.59,56.31,55.91,56.16,56.42,56.34,56.29 | +| sconce | 43.61,43.73,43.86,43.94,44.27,44.42,44.43,44.35,44.66,44.79,44.85 | +| vase | 37.92,38.21,38.21,38.36,38.42,38.35,38.27,38.32,38.42,38.27,38.24 | +| traffic light | 34.08,33.92,33.84,33.97,34.08,34.12,34.13,34.29,34.13,34.21,34.27 | +| tray | 8.69,8.83,8.92,9.06,9.14,9.21,9.31,9.36,9.42,9.47,9.47 | +| ashcan | 41.9,41.96,41.69,41.87,41.7,41.72,41.56,41.87,41.86,41.74,41.77 | +| fan | 57.58,57.61,57.48,57.58,57.28,57.43,57.35,57.32,57.27,57.22,57.21 | +| pier | 48.84,50.56,50.98,52.03,53.82,55.08,56.26,60.56,61.4,62.24,62.34 | +| crt screen | 10.91,10.88,10.85,10.89,10.93,10.86,10.88,10.87,10.86,10.82,10.77 | +| plate | 53.6,53.72,53.91,54.01,54.11,54.18,54.38,54.33,54.39,54.38,54.41 | +| monitor | 15.43,15.2,14.96,14.93,14.75,14.58,14.54,14.26,14.05,13.75,13.56 | +| bulletin board | 41.62,41.46,41.93,42.28,43.14,43.91,44.42,44.91,44.43,45.12,45.21 | +| shower | 2.03,1.98,2.03,1.94,1.9,1.85,1.91,1.72,1.79,1.55,1.51 | +| radiator | 61.66,62.42,62.92,63.44,64.25,64.14,64.64,64.71,64.82,65.18,65.26 | +| glass | 14.21,14.24,14.18,14.17,14.09,14.02,14.14,13.9,13.96,13.91,13.89 | +| clock | 35.49,35.47,35.38,35.37,35.29,35.0,34.82,34.98,34.87,34.91,34.92 | +| flag | 33.19,33.09,33.01,32.95,32.75,32.68,32.84,32.66,32.72,32.71,32.75 | ++---------------------+-------------------------------------------------------------------+ +2023-03-04 10:57:50,912 - mmseg - INFO - Summary: +2023-03-04 10:57:50,912 - mmseg - INFO - ++-------------------------------------------------------------------+ +| mIoU 0,5,10,15,20,25,30,35,40,45,49 | ++-------------------------------------------------------------------+ +| 48.83,48.91,48.96,49.01,49.07,49.08,49.11,49.15,49.16,49.16,49.16 | ++-------------------------------------------------------------------+ +2023-03-04 10:57:50,945 - mmseg - INFO - The previous best checkpoint /mnt/petrelfs/laizeqiang/mmseg-baseline/work_dirs2/ablation_segformer_mit_b2_segformer_head_unet_fc_small_multi_step_ade_pretrained_freeze_embed_160k_ade20k151_finetune_ema_t50/best_mIoU_iter_112000.pth was removed +2023-03-04 10:57:51,975 - mmseg - INFO - Now best checkpoint is saved as best_mIoU_iter_160000.pth. +2023-03-04 10:57:51,975 - mmseg - INFO - Best mIoU is 0.4916 at 160000 iter. +2023-03-04 10:57:51,976 - mmseg - INFO - Exp name: ablation_segformer_mit_b2_segformer_head_unet_fc_small_multi_step_ade_pretrained_freeze_embed_160k_ade20k151_finetune_ema_t50.py +2023-03-04 10:57:51,976 - mmseg - INFO - Iter(val) [250] mIoU: [0.4883, 0.4891, 0.4896, 0.4901, 0.4907, 0.4908, 0.4911, 0.4915, 0.4916, 0.4916, 0.4916], copy_paste: 48.83,48.91,48.96,49.01,49.07,49.08,49.11,49.15,49.16,49.16,49.16 diff --git a/ablation/ablation_segformer_mit_b2_segformer_head_unet_fc_small_multi_step_ade_pretrained_freeze_embed_160k_ade20k151_finetune_ema_t50/20230304_011051.log.json b/ablation/ablation_segformer_mit_b2_segformer_head_unet_fc_small_multi_step_ade_pretrained_freeze_embed_160k_ade20k151_finetune_ema_t50/20230304_011051.log.json new file mode 100644 index 0000000000000000000000000000000000000000..0bd10f5e97e1ef9dd6dd9464b8f456d43d60fc4f --- /dev/null +++ b/ablation/ablation_segformer_mit_b2_segformer_head_unet_fc_small_multi_step_ade_pretrained_freeze_embed_160k_ade20k151_finetune_ema_t50/20230304_011051.log.json @@ -0,0 +1,3211 @@ +{"env_info": "sys.platform: linux\nPython: 3.7.16 (default, Jan 17 2023, 22:20:44) [GCC 11.2.0]\nCUDA available: True\nGPU 0,1,2,3,4,5,6,7: NVIDIA A100-SXM4-80GB\nCUDA_HOME: /mnt/petrelfs/laizeqiang/miniconda3/envs/torch\nNVCC: Cuda compilation tools, release 11.6, V11.6.124\nGCC: gcc (GCC) 4.8.5 20150623 (Red Hat 4.8.5-44)\nPyTorch: 1.13.1\nPyTorch compiling details: PyTorch built with:\n - GCC 9.3\n - C++ Version: 201402\n - Intel(R) oneAPI Math Kernel Library Version 2021.4-Product Build 20210904 for Intel(R) 64 architecture applications\n - Intel(R) MKL-DNN v2.6.0 (Git Hash 52b5f107dd9cf10910aaa19cb47f3abf9b349815)\n - OpenMP 201511 (a.k.a. OpenMP 4.5)\n - LAPACK is enabled (usually provided by MKL)\n - NNPACK is enabled\n - CPU capability usage: AVX2\n - CUDA Runtime 11.6\n - NVCC architecture flags: -gencode;arch=compute_37,code=sm_37;-gencode;arch=compute_50,code=sm_50;-gencode;arch=compute_60,code=sm_60;-gencode;arch=compute_61,code=sm_61;-gencode;arch=compute_70,code=sm_70;-gencode;arch=compute_75,code=sm_75;-gencode;arch=compute_80,code=sm_80;-gencode;arch=compute_86,code=sm_86;-gencode;arch=compute_37,code=compute_37\n - CuDNN 8.3.2 (built against CUDA 11.5)\n - Magma 2.6.1\n - Build settings: BLAS_INFO=mkl, BUILD_TYPE=Release, CUDA_VERSION=11.6, CUDNN_VERSION=8.3.2, CXX_COMPILER=/opt/rh/devtoolset-9/root/usr/bin/c++, CXX_FLAGS= -fabi-version=11 -Wno-deprecated -fvisibility-inlines-hidden -DUSE_PTHREADPOOL -fopenmp -DNDEBUG -DUSE_KINETO -DUSE_FBGEMM -DUSE_QNNPACK -DUSE_PYTORCH_QNNPACK -DUSE_XNNPACK -DSYMBOLICATE_MOBILE_DEBUG_HANDLE -DEDGE_PROFILER_USE_KINETO -O2 -fPIC -Wno-narrowing -Wall -Wextra -Werror=return-type -Werror=non-virtual-dtor -Wno-missing-field-initializers -Wno-type-limits -Wno-array-bounds -Wno-unknown-pragmas -Wunused-local-typedefs -Wno-unused-parameter -Wno-unused-function -Wno-unused-result -Wno-strict-overflow -Wno-strict-aliasing -Wno-error=deprecated-declarations -Wno-stringop-overflow -Wno-psabi -Wno-error=pedantic -Wno-error=redundant-decls -Wno-error=old-style-cast -fdiagnostics-color=always -faligned-new -Wno-unused-but-set-variable -Wno-maybe-uninitialized -fno-math-errno -fno-trapping-math -Werror=format -Werror=cast-function-type -Wno-stringop-overflow, LAPACK_INFO=mkl, PERF_WITH_AVX=1, PERF_WITH_AVX2=1, PERF_WITH_AVX512=1, TORCH_VERSION=1.13.1, USE_CUDA=ON, USE_CUDNN=ON, USE_EXCEPTION_PTR=1, USE_GFLAGS=OFF, USE_GLOG=OFF, USE_MKL=ON, USE_MKLDNN=ON, USE_MPI=OFF, USE_NCCL=ON, USE_NNPACK=ON, USE_OPENMP=ON, USE_ROCM=OFF, \n\nTorchVision: 0.14.1\nOpenCV: 4.7.0\nMMCV: 1.7.1\nMMCV Compiler: GCC 9.3\nMMCV CUDA Compiler: 11.6\nMMSegmentation: 0.30.0+ab851eb", "seed": 200113064, "exp_name": "ablation_segformer_mit_b2_segformer_head_unet_fc_small_multi_step_ade_pretrained_freeze_embed_160k_ade20k151_finetune_ema_t50.py", "mmseg_version": "0.30.0+ab851eb", "config": "norm_cfg = dict(type='SyncBN', requires_grad=True)\ncheckpoint = 'work_dirs2/segformer_mit_b2_segformer_head_unet_fc_single_step_ade_pretrained_freeze_embed_80k_ade20k151/best_mIoU_iter_64000.pth'\nmodel = dict(\n type='EncoderDecoderDiffusion',\n freeze_parameters=['backbone', 'decode_head'],\n pretrained=\n 'work_dirs2/segformer_mit_b2_segformer_head_unet_fc_single_step_ade_pretrained_freeze_embed_80k_ade20k151/best_mIoU_iter_64000.pth',\n backbone=dict(\n type='MixVisionTransformerCustomInitWeights',\n in_channels=3,\n embed_dims=64,\n num_stages=4,\n num_layers=[3, 4, 6, 3],\n num_heads=[1, 2, 5, 8],\n patch_sizes=[7, 3, 3, 3],\n sr_ratios=[8, 4, 2, 1],\n out_indices=(0, 1, 2, 3),\n mlp_ratio=4,\n qkv_bias=True,\n drop_rate=0.0,\n attn_drop_rate=0.0,\n drop_path_rate=0.1,\n pretrained=\n 'work_dirs2/segformer_mit_b2_segformer_head_unet_fc_single_step_ade_pretrained_freeze_embed_80k_ade20k151/best_mIoU_iter_64000.pth'\n ),\n decode_head=dict(\n type='SegformerHeadUnetFCHeadMultiStep',\n pretrained=\n 'work_dirs2/segformer_mit_b2_segformer_head_unet_fc_single_step_ade_pretrained_freeze_embed_80k_ade20k151/best_mIoU_iter_64000.pth',\n dim=128,\n out_dim=256,\n unet_channels=272,\n dim_mults=[1, 1, 1],\n cat_embedding_dim=16,\n diffusion_timesteps=50,\n collect_timesteps=[0, 5, 10, 15, 20, 25, 30, 35, 40, 45, 49],\n in_channels=[64, 128, 320, 512],\n in_index=[0, 1, 2, 3],\n channels=256,\n dropout_ratio=0.1,\n num_classes=151,\n norm_cfg=dict(type='SyncBN', requires_grad=True),\n align_corners=False,\n ignore_index=0,\n loss_decode=dict(\n type='CrossEntropyLoss', use_sigmoid=False, loss_weight=1.0)),\n train_cfg=dict(),\n test_cfg=dict(mode='whole'))\ndataset_type = 'ADE20K151Dataset'\ndata_root = 'data/ade/ADEChallengeData2016'\nimg_norm_cfg = dict(\n mean=[123.675, 116.28, 103.53], std=[58.395, 57.12, 57.375], to_rgb=True)\ncrop_size = (512, 512)\ntrain_pipeline = [\n dict(type='LoadImageFromFile'),\n dict(type='LoadAnnotations', reduce_zero_label=False),\n dict(type='Resize', img_scale=(2048, 512), ratio_range=(0.5, 2.0)),\n dict(type='RandomCrop', crop_size=(512, 512), cat_max_ratio=0.75),\n dict(type='RandomFlip', prob=0.5),\n dict(type='PhotoMetricDistortion'),\n dict(\n type='Normalize',\n mean=[123.675, 116.28, 103.53],\n std=[58.395, 57.12, 57.375],\n to_rgb=True),\n dict(type='Pad', size=(512, 512), pad_val=0, seg_pad_val=0),\n dict(type='DefaultFormatBundle'),\n dict(type='Collect', keys=['img', 'gt_semantic_seg'])\n]\ntest_pipeline = [\n dict(type='LoadImageFromFile'),\n dict(\n type='MultiScaleFlipAug',\n img_scale=(2048, 512),\n flip=False,\n transforms=[\n dict(type='Resize', keep_ratio=True),\n dict(type='RandomFlip'),\n dict(\n type='Normalize',\n mean=[123.675, 116.28, 103.53],\n std=[58.395, 57.12, 57.375],\n to_rgb=True),\n dict(type='Pad', size_divisor=16, pad_val=0, seg_pad_val=0),\n dict(type='ImageToTensor', keys=['img']),\n dict(type='Collect', keys=['img'])\n ])\n]\ndata = dict(\n samples_per_gpu=4,\n workers_per_gpu=4,\n train=dict(\n type='ADE20K151Dataset',\n data_root='data/ade/ADEChallengeData2016',\n img_dir='images/training',\n ann_dir='annotations/training',\n pipeline=[\n dict(type='LoadImageFromFile'),\n dict(type='LoadAnnotations', reduce_zero_label=False),\n dict(type='Resize', img_scale=(2048, 512), ratio_range=(0.5, 2.0)),\n dict(type='RandomCrop', crop_size=(512, 512), cat_max_ratio=0.75),\n dict(type='RandomFlip', prob=0.5),\n dict(type='PhotoMetricDistortion'),\n dict(\n type='Normalize',\n mean=[123.675, 116.28, 103.53],\n std=[58.395, 57.12, 57.375],\n to_rgb=True),\n dict(type='Pad', size=(512, 512), pad_val=0, seg_pad_val=0),\n dict(type='DefaultFormatBundle'),\n dict(type='Collect', keys=['img', 'gt_semantic_seg'])\n ]),\n val=dict(\n type='ADE20K151Dataset',\n data_root='data/ade/ADEChallengeData2016',\n img_dir='images/validation',\n ann_dir='annotations/validation',\n pipeline=[\n dict(type='LoadImageFromFile'),\n dict(\n type='MultiScaleFlipAug',\n img_scale=(2048, 512),\n flip=False,\n transforms=[\n dict(type='Resize', keep_ratio=True),\n dict(type='RandomFlip'),\n dict(\n type='Normalize',\n mean=[123.675, 116.28, 103.53],\n std=[58.395, 57.12, 57.375],\n to_rgb=True),\n dict(\n type='Pad', size_divisor=16, pad_val=0, seg_pad_val=0),\n dict(type='ImageToTensor', keys=['img']),\n dict(type='Collect', keys=['img'])\n ])\n ]),\n test=dict(\n type='ADE20K151Dataset',\n data_root='data/ade/ADEChallengeData2016',\n img_dir='images/validation',\n ann_dir='annotations/validation',\n pipeline=[\n dict(type='LoadImageFromFile'),\n dict(\n type='MultiScaleFlipAug',\n img_scale=(2048, 512),\n flip=False,\n transforms=[\n dict(type='Resize', keep_ratio=True),\n dict(type='RandomFlip'),\n dict(\n type='Normalize',\n mean=[123.675, 116.28, 103.53],\n std=[58.395, 57.12, 57.375],\n to_rgb=True),\n dict(\n type='Pad', size_divisor=16, pad_val=0, seg_pad_val=0),\n dict(type='ImageToTensor', keys=['img']),\n dict(type='Collect', keys=['img'])\n ])\n ]))\nlog_config = dict(\n interval=50, hooks=[dict(type='TextLoggerHook', by_epoch=False)])\ndist_params = dict(backend='nccl')\nlog_level = 'INFO'\nload_from = None\nresume_from = None\nworkflow = [('train', 1)]\ncudnn_benchmark = True\noptimizer = dict(\n type='AdamW', lr=0.00015, betas=[0.9, 0.96], weight_decay=0.045)\noptimizer_config = dict()\nlr_config = dict(\n policy='step',\n warmup='linear',\n warmup_iters=1000,\n warmup_ratio=1e-06,\n step=50000,\n gamma=0.5,\n min_lr=1e-06,\n by_epoch=False)\nrunner = dict(type='IterBasedRunner', max_iters=160000)\ncheckpoint_config = dict(by_epoch=False, interval=16000, max_keep_ckpts=1)\nevaluation = dict(\n interval=16000, metric='mIoU', pre_eval=True, save_best='mIoU')\ncustom_hooks = [\n dict(\n type='ConstantMomentumEMAHook',\n momentum=0.01,\n interval=25,\n eval_interval=16000,\n auto_resume=True,\n priority=49)\n]\nwork_dir = './work_dirs2/ablation_segformer_mit_b2_segformer_head_unet_fc_small_multi_step_ade_pretrained_freeze_embed_160k_ade20k151_finetune_ema_t50'\ngpu_ids = range(0, 8)\nauto_resume = True\ndevice = 'cuda'\nseed = 200113064\n", "CLASSES": ["background", "wall", "building", "sky", "floor", "tree", "ceiling", "road", "bed ", "windowpane", "grass", "cabinet", "sidewalk", "person", "earth", "door", "table", "mountain", "plant", "curtain", "chair", "car", "water", "painting", "sofa", "shelf", "house", "sea", "mirror", "rug", "field", "armchair", "seat", "fence", "desk", "rock", "wardrobe", "lamp", "bathtub", "railing", "cushion", "base", "box", "column", "signboard", "chest of drawers", "counter", "sand", "sink", "skyscraper", "fireplace", "refrigerator", "grandstand", "path", "stairs", "runway", "case", "pool 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"loss": 0.18336, "time": 0.19131} +{"mode": "train", "epoch": 254, "iter": 159900, "lr": 2e-05, "memory": 52540, "data_time": 0.00785, "decode.loss_ce": 0.18668, "decode.acc_seg": 92.31056, "loss": 0.18668, "time": 0.19159} +{"mode": "train", "epoch": 254, "iter": 159950, "lr": 2e-05, "memory": 52540, "data_time": 0.00744, "decode.loss_ce": 0.18515, "decode.acc_seg": 92.35453, "loss": 0.18515, "time": 0.19224} +{"mode": "train", "epoch": 254, "iter": 160000, "lr": 2e-05, "memory": 52540, "data_time": 0.00772, "decode.loss_ce": 0.18163, "decode.acc_seg": 92.52918, "loss": 0.18163, "time": 0.20952} +{"mode": "val", "epoch": 254, "iter": 250, "lr": 2e-05, "mIoU": [0.4883, 0.4891, 0.4896, 0.4901, 0.4907, 0.4908, 0.4911, 0.4915, 0.4916, 0.4916, 0.4916], "copy_paste": "48.83,48.91,48.96,49.01,49.07,49.08,49.11,49.15,49.16,49.16,49.16"} diff --git a/ablation/ablation_segformer_mit_b2_segformer_head_unet_fc_small_multi_step_ade_pretrained_freeze_embed_160k_ade20k151_finetune_ema_t50/ablation_segformer_mit_b2_segformer_head_unet_fc_small_multi_step_ade_pretrained_freeze_embed_160k_ade20k151_finetune_ema_t50.py b/ablation/ablation_segformer_mit_b2_segformer_head_unet_fc_small_multi_step_ade_pretrained_freeze_embed_160k_ade20k151_finetune_ema_t50/ablation_segformer_mit_b2_segformer_head_unet_fc_small_multi_step_ade_pretrained_freeze_embed_160k_ade20k151_finetune_ema_t50.py new file mode 100644 index 0000000000000000000000000000000000000000..800fc5c8d5ddbb7c30e32358cac1ab135d90bcb4 --- /dev/null +++ b/ablation/ablation_segformer_mit_b2_segformer_head_unet_fc_small_multi_step_ade_pretrained_freeze_embed_160k_ade20k151_finetune_ema_t50/ablation_segformer_mit_b2_segformer_head_unet_fc_small_multi_step_ade_pretrained_freeze_embed_160k_ade20k151_finetune_ema_t50.py @@ -0,0 +1,195 @@ +norm_cfg = dict(type='SyncBN', requires_grad=True) +checkpoint = 'work_dirs2/segformer_mit_b2_segformer_head_unet_fc_single_step_ade_pretrained_freeze_embed_80k_ade20k151/best_mIoU_iter_64000.pth' +model = dict( + type='EncoderDecoderDiffusion', + freeze_parameters=['backbone', 'decode_head'], + pretrained= + 'work_dirs2/segformer_mit_b2_segformer_head_unet_fc_single_step_ade_pretrained_freeze_embed_80k_ade20k151/best_mIoU_iter_64000.pth', + backbone=dict( + type='MixVisionTransformerCustomInitWeights', + in_channels=3, + embed_dims=64, + num_stages=4, + num_layers=[3, 4, 6, 3], + num_heads=[1, 2, 5, 8], + patch_sizes=[7, 3, 3, 3], + sr_ratios=[8, 4, 2, 1], + out_indices=(0, 1, 2, 3), + mlp_ratio=4, + qkv_bias=True, + drop_rate=0.0, + attn_drop_rate=0.0, + drop_path_rate=0.1), + decode_head=dict( + type='SegformerHeadUnetFCHeadMultiStep', + pretrained= + 'work_dirs2/segformer_mit_b2_segformer_head_unet_fc_single_step_ade_pretrained_freeze_embed_80k_ade20k151/best_mIoU_iter_64000.pth', + dim=128, + out_dim=256, + unet_channels=272, + dim_mults=[1, 1, 1], + cat_embedding_dim=16, + diffusion_timesteps=50, + collect_timesteps=[0, 5, 10, 15, 20, 25, 30, 35, 40, 45, 49], + in_channels=[64, 128, 320, 512], + in_index=[0, 1, 2, 3], + channels=256, + dropout_ratio=0.1, + num_classes=151, + norm_cfg=dict(type='SyncBN', requires_grad=True), + align_corners=False, + ignore_index=0, + loss_decode=dict( + type='CrossEntropyLoss', use_sigmoid=False, loss_weight=1.0)), + train_cfg=dict(), + test_cfg=dict(mode='whole')) +dataset_type = 'ADE20K151Dataset' +data_root = 'data/ade/ADEChallengeData2016' +img_norm_cfg = dict( + mean=[123.675, 116.28, 103.53], std=[58.395, 57.12, 57.375], to_rgb=True) +crop_size = (512, 512) +train_pipeline = [ + dict(type='LoadImageFromFile'), + dict(type='LoadAnnotations', reduce_zero_label=False), + dict(type='Resize', img_scale=(2048, 512), ratio_range=(0.5, 2.0)), + dict(type='RandomCrop', crop_size=(512, 512), cat_max_ratio=0.75), + dict(type='RandomFlip', prob=0.5), + dict(type='PhotoMetricDistortion'), + dict( + type='Normalize', + mean=[123.675, 116.28, 103.53], + std=[58.395, 57.12, 57.375], + to_rgb=True), + dict(type='Pad', size=(512, 512), pad_val=0, seg_pad_val=0), + dict(type='DefaultFormatBundle'), + dict(type='Collect', keys=['img', 'gt_semantic_seg']) +] +test_pipeline = [ + dict(type='LoadImageFromFile'), + dict( + type='MultiScaleFlipAug', + img_scale=(2048, 512), + flip=False, + transforms=[ + dict(type='Resize', keep_ratio=True), + dict(type='RandomFlip'), + dict( + type='Normalize', + mean=[123.675, 116.28, 103.53], + std=[58.395, 57.12, 57.375], + to_rgb=True), + dict(type='Pad', size_divisor=16, pad_val=0, seg_pad_val=0), + dict(type='ImageToTensor', keys=['img']), + dict(type='Collect', keys=['img']) + ]) +] +data = dict( + samples_per_gpu=4, + workers_per_gpu=4, + train=dict( + type='ADE20K151Dataset', + data_root='data/ade/ADEChallengeData2016', + img_dir='images/training', + ann_dir='annotations/training', + pipeline=[ + dict(type='LoadImageFromFile'), + dict(type='LoadAnnotations', reduce_zero_label=False), + dict(type='Resize', img_scale=(2048, 512), ratio_range=(0.5, 2.0)), + dict(type='RandomCrop', crop_size=(512, 512), cat_max_ratio=0.75), + dict(type='RandomFlip', prob=0.5), + dict(type='PhotoMetricDistortion'), + dict( + type='Normalize', + mean=[123.675, 116.28, 103.53], + std=[58.395, 57.12, 57.375], + to_rgb=True), + dict(type='Pad', size=(512, 512), pad_val=0, seg_pad_val=0), + dict(type='DefaultFormatBundle'), + dict(type='Collect', keys=['img', 'gt_semantic_seg']) + ]), + val=dict( + type='ADE20K151Dataset', + data_root='data/ade/ADEChallengeData2016', + img_dir='images/validation', + ann_dir='annotations/validation', + pipeline=[ + dict(type='LoadImageFromFile'), + dict( + type='MultiScaleFlipAug', + img_scale=(2048, 512), + flip=False, + transforms=[ + dict(type='Resize', keep_ratio=True), + dict(type='RandomFlip'), + dict( + type='Normalize', + mean=[123.675, 116.28, 103.53], + std=[58.395, 57.12, 57.375], + to_rgb=True), + dict( + type='Pad', size_divisor=16, pad_val=0, seg_pad_val=0), + dict(type='ImageToTensor', keys=['img']), + dict(type='Collect', keys=['img']) + ]) + ]), + test=dict( + type='ADE20K151Dataset', + data_root='data/ade/ADEChallengeData2016', + img_dir='images/validation', + ann_dir='annotations/validation', + pipeline=[ + dict(type='LoadImageFromFile'), + dict( + type='MultiScaleFlipAug', + img_scale=(2048, 512), + flip=False, + transforms=[ + dict(type='Resize', keep_ratio=True), + dict(type='RandomFlip'), + dict( + type='Normalize', + mean=[123.675, 116.28, 103.53], + std=[58.395, 57.12, 57.375], + to_rgb=True), + dict( + type='Pad', size_divisor=16, pad_val=0, seg_pad_val=0), + dict(type='ImageToTensor', keys=['img']), + dict(type='Collect', keys=['img']) + ]) + ])) +log_config = dict( + interval=50, hooks=[dict(type='TextLoggerHook', by_epoch=False)]) +dist_params = dict(backend='nccl') +log_level = 'INFO' +load_from = None +resume_from = None +workflow = [('train', 1)] +cudnn_benchmark = True +optimizer = dict( + type='AdamW', lr=0.00015, betas=[0.9, 0.96], weight_decay=0.045) +optimizer_config = dict() +lr_config = dict( + policy='step', + warmup='linear', + warmup_iters=1000, + warmup_ratio=1e-06, + step=50000, + gamma=0.5, + min_lr=1e-06, + by_epoch=False) +runner = dict(type='IterBasedRunner', max_iters=160000) +checkpoint_config = dict(by_epoch=False, interval=16000, max_keep_ckpts=1) +evaluation = dict( + interval=16000, metric='mIoU', pre_eval=True, save_best='mIoU') +custom_hooks = [ + dict( + type='ConstantMomentumEMAHook', + momentum=0.01, + interval=25, + eval_interval=16000, + auto_resume=True, + priority=49) +] +work_dir = './work_dirs2/ablation_segformer_mit_b2_segformer_head_unet_fc_small_multi_step_ade_pretrained_freeze_embed_160k_ade20k151_finetune_ema_t50' +gpu_ids = range(0, 8) +auto_resume = True diff --git 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20210904 for Intel(R) 64 architecture applications + - Intel(R) MKL-DNN v2.6.0 (Git Hash 52b5f107dd9cf10910aaa19cb47f3abf9b349815) + - OpenMP 201511 (a.k.a. OpenMP 4.5) + - LAPACK is enabled (usually provided by MKL) + - NNPACK is enabled + - CPU capability usage: AVX2 + - CUDA Runtime 11.6 + - NVCC architecture flags: -gencode;arch=compute_37,code=sm_37;-gencode;arch=compute_50,code=sm_50;-gencode;arch=compute_60,code=sm_60;-gencode;arch=compute_61,code=sm_61;-gencode;arch=compute_70,code=sm_70;-gencode;arch=compute_75,code=sm_75;-gencode;arch=compute_80,code=sm_80;-gencode;arch=compute_86,code=sm_86;-gencode;arch=compute_37,code=compute_37 + - CuDNN 8.3.2 (built against CUDA 11.5) + - Magma 2.6.1 + - Build settings: BLAS_INFO=mkl, BUILD_TYPE=Release, CUDA_VERSION=11.6, CUDNN_VERSION=8.3.2, CXX_COMPILER=/opt/rh/devtoolset-9/root/usr/bin/c++, CXX_FLAGS= -fabi-version=11 -Wno-deprecated -fvisibility-inlines-hidden -DUSE_PTHREADPOOL -fopenmp -DNDEBUG -DUSE_KINETO -DUSE_FBGEMM -DUSE_QNNPACK -DUSE_PYTORCH_QNNPACK -DUSE_XNNPACK -DSYMBOLICATE_MOBILE_DEBUG_HANDLE -DEDGE_PROFILER_USE_KINETO -O2 -fPIC -Wno-narrowing -Wall -Wextra -Werror=return-type -Werror=non-virtual-dtor -Wno-missing-field-initializers -Wno-type-limits -Wno-array-bounds -Wno-unknown-pragmas -Wunused-local-typedefs -Wno-unused-parameter -Wno-unused-function -Wno-unused-result -Wno-strict-overflow -Wno-strict-aliasing -Wno-error=deprecated-declarations -Wno-stringop-overflow -Wno-psabi -Wno-error=pedantic -Wno-error=redundant-decls -Wno-error=old-style-cast -fdiagnostics-color=always -faligned-new -Wno-unused-but-set-variable -Wno-maybe-uninitialized -fno-math-errno -fno-trapping-math -Werror=format -Werror=cast-function-type -Wno-stringop-overflow, LAPACK_INFO=mkl, PERF_WITH_AVX=1, PERF_WITH_AVX2=1, PERF_WITH_AVX512=1, TORCH_VERSION=1.13.1, USE_CUDA=ON, USE_CUDNN=ON, USE_EXCEPTION_PTR=1, USE_GFLAGS=OFF, USE_GLOG=OFF, USE_MKL=ON, USE_MKLDNN=ON, USE_MPI=OFF, USE_NCCL=ON, USE_NNPACK=ON, USE_OPENMP=ON, USE_ROCM=OFF, + +TorchVision: 0.14.1 +OpenCV: 4.7.0 +MMCV: 1.7.1 +MMCV Compiler: GCC 9.3 +MMCV CUDA Compiler: 11.6 +MMSegmentation: 0.30.0+ab851eb +------------------------------------------------------------ + +2023-03-04 01:11:25,548 - mmseg - INFO - Distributed training: True +2023-03-04 01:11:26,237 - mmseg - INFO - Config: +norm_cfg = dict(type='SyncBN', requires_grad=True) +checkpoint = 'work_dirs2/segformer_mit_b2_segformer_head_unet_fc_single_step_ade_pretrained_freeze_embed_80k_ade20k151/best_mIoU_iter_64000.pth' +model = dict( + type='EncoderDecoderDiffusion', + freeze_parameters=['backbone', 'decode_head'], + pretrained= + 'work_dirs2/segformer_mit_b2_segformer_head_unet_fc_single_step_ade_pretrained_freeze_embed_80k_ade20k151/best_mIoU_iter_64000.pth', + backbone=dict( + type='MixVisionTransformerCustomInitWeights', + in_channels=3, + embed_dims=64, + num_stages=4, + num_layers=[3, 4, 6, 3], + num_heads=[1, 2, 5, 8], + patch_sizes=[7, 3, 3, 3], + sr_ratios=[8, 4, 2, 1], + out_indices=(0, 1, 2, 3), + mlp_ratio=4, + qkv_bias=True, + drop_rate=0.0, + attn_drop_rate=0.0, + drop_path_rate=0.1), + decode_head=dict( + type='SegformerHeadUnetFCHeadMultiStepWithGT', + pretrained= + 'work_dirs2/segformer_mit_b2_segformer_head_unet_fc_single_step_ade_pretrained_freeze_embed_80k_ade20k151/best_mIoU_iter_64000.pth', + dim=128, + out_dim=256, + unet_channels=272, + dim_mults=[1, 1, 1], + cat_embedding_dim=16, + diffusion_timesteps=100, + collect_timesteps=[0, 10, 20, 30, 40, 50, 60, 70, 80, 90, 99], + in_channels=[64, 128, 320, 512], + in_index=[0, 1, 2, 3], + channels=256, + dropout_ratio=0.1, + num_classes=151, + norm_cfg=dict(type='SyncBN', requires_grad=True), + align_corners=False, + ignore_index=0, + loss_decode=dict( + type='CrossEntropyLoss', use_sigmoid=False, loss_weight=1.0)), + train_cfg=dict(), + test_cfg=dict(mode='whole')) +dataset_type = 'ADE20K151Dataset' +data_root = 'data/ade/ADEChallengeData2016' +img_norm_cfg = dict( + mean=[123.675, 116.28, 103.53], std=[58.395, 57.12, 57.375], to_rgb=True) +crop_size = (512, 512) +train_pipeline = [ + dict(type='LoadImageFromFile'), + dict(type='LoadAnnotations', reduce_zero_label=False), + dict(type='Resize', img_scale=(2048, 512), ratio_range=(0.5, 2.0)), + dict(type='RandomCrop', crop_size=(512, 512), cat_max_ratio=0.75), + dict(type='RandomFlip', prob=0.5), + dict(type='PhotoMetricDistortion'), + dict( + type='Normalize', + mean=[123.675, 116.28, 103.53], + std=[58.395, 57.12, 57.375], + to_rgb=True), + dict(type='Pad', size=(512, 512), pad_val=0, seg_pad_val=0), + dict(type='DefaultFormatBundle'), + dict(type='Collect', keys=['img', 'gt_semantic_seg']) +] +test_pipeline = [ + dict(type='LoadImageFromFile'), + dict( + type='MultiScaleFlipAug', + img_scale=(2048, 512), + flip=False, + transforms=[ + dict(type='Resize', keep_ratio=True), + dict(type='RandomFlip'), + dict( + type='Normalize', + mean=[123.675, 116.28, 103.53], + std=[58.395, 57.12, 57.375], + to_rgb=True), + dict(type='Pad', size_divisor=16, pad_val=0, seg_pad_val=0), + dict(type='ImageToTensor', keys=['img']), + dict(type='Collect', keys=['img']) + ]) +] +data = dict( + samples_per_gpu=4, + workers_per_gpu=4, + train=dict( + type='ADE20K151Dataset', + data_root='data/ade/ADEChallengeData2016', + img_dir='images/training', + ann_dir='annotations/training', + pipeline=[ + dict(type='LoadImageFromFile'), + dict(type='LoadAnnotations', reduce_zero_label=False), + dict(type='Resize', img_scale=(2048, 512), ratio_range=(0.5, 2.0)), + dict(type='RandomCrop', crop_size=(512, 512), cat_max_ratio=0.75), + dict(type='RandomFlip', prob=0.5), + dict(type='PhotoMetricDistortion'), + dict( + type='Normalize', + mean=[123.675, 116.28, 103.53], + std=[58.395, 57.12, 57.375], + to_rgb=True), + dict(type='Pad', size=(512, 512), pad_val=0, seg_pad_val=0), + dict(type='DefaultFormatBundle'), + dict(type='Collect', keys=['img', 'gt_semantic_seg']) + ]), + val=dict( + type='ADE20K151Dataset', + data_root='data/ade/ADEChallengeData2016', + img_dir='images/validation', + ann_dir='annotations/validation', + pipeline=[ + dict(type='LoadImageFromFile'), + dict( + type='MultiScaleFlipAug', + img_scale=(2048, 512), + flip=False, + transforms=[ + dict(type='Resize', keep_ratio=True), + dict(type='RandomFlip'), + dict( + type='Normalize', + mean=[123.675, 116.28, 103.53], + std=[58.395, 57.12, 57.375], + to_rgb=True), + dict( + type='Pad', size_divisor=16, pad_val=0, seg_pad_val=0), + dict(type='ImageToTensor', keys=['img']), + dict(type='Collect', keys=['img']) + ]) + ]), + test=dict( + type='ADE20K151Dataset', + data_root='data/ade/ADEChallengeData2016', + img_dir='images/validation', + ann_dir='annotations/validation', + pipeline=[ + dict(type='LoadImageFromFile'), + dict( + type='MultiScaleFlipAug', + img_scale=(2048, 512), + flip=False, + transforms=[ + dict(type='Resize', keep_ratio=True), + dict(type='RandomFlip'), + dict( + type='Normalize', + mean=[123.675, 116.28, 103.53], + std=[58.395, 57.12, 57.375], + to_rgb=True), + dict( + type='Pad', size_divisor=16, pad_val=0, seg_pad_val=0), + dict(type='ImageToTensor', keys=['img']), + dict(type='Collect', keys=['img']) + ]) + ])) +log_config = dict( + interval=50, hooks=[dict(type='TextLoggerHook', by_epoch=False)]) +dist_params = dict(backend='nccl') +log_level = 'INFO' +load_from = None +resume_from = None +workflow = [('train', 1)] +cudnn_benchmark = True +optimizer = dict( + type='AdamW', lr=0.00015, betas=[0.9, 0.96], weight_decay=0.045) +optimizer_config = dict() +lr_config = dict( + policy='step', + warmup='linear', + warmup_iters=1000, + warmup_ratio=1e-06, + step=20000, + gamma=0.5, + min_lr=1e-06, + by_epoch=False) +runner = dict(type='IterBasedRunner', max_iters=160000) +checkpoint_config = dict(by_epoch=False, interval=16000, max_keep_ckpts=1) +evaluation = dict( + interval=16000, metric='mIoU', pre_eval=True, save_best='mIoU') +custom_hooks = [ + dict( + type='ConstantMomentumEMAHook', + momentum=0.01, + interval=25, + eval_interval=16000, + auto_resume=True, + priority=49) +] +work_dir = './work_dirs2/ablation_segformer_mit_b2_segformer_head_unet_fc_small_multi_step_ade_pretrained_freeze_embed_160k_ade20k151_finetune_ema_wgt' +gpu_ids = range(0, 8) +auto_resume = True + +2023-03-04 01:11:31,748 - mmseg - INFO - Set random seed to 1767956878, deterministic: False +2023-03-04 01:11:32,012 - mmseg - INFO - Parameters in backbone freezed! +2023-03-04 01:11:32,013 - mmseg - INFO - Trainable parameters in SegformerHeadUnetFCHead: ['unet.init_conv.weight', 'unet.init_conv.bias', 'unet.time_mlp.1.weight', 'unet.time_mlp.1.bias', 'unet.time_mlp.3.weight', 'unet.time_mlp.3.bias', 'unet.downs.0.0.mlp.1.weight', 'unet.downs.0.0.mlp.1.bias', 'unet.downs.0.0.block1.proj.weight', 'unet.downs.0.0.block1.proj.bias', 'unet.downs.0.0.block1.norm.weight', 'unet.downs.0.0.block1.norm.bias', 'unet.downs.0.0.block2.proj.weight', 'unet.downs.0.0.block2.proj.bias', 'unet.downs.0.0.block2.norm.weight', 'unet.downs.0.0.block2.norm.bias', 'unet.downs.0.1.mlp.1.weight', 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checkpoint from local path: work_dirs2/segformer_mit_b2_segformer_head_unet_fc_single_step_ade_pretrained_freeze_embed_80k_ade20k151/best_mIoU_iter_64000.pth +2023-03-04 01:11:32,816 - mmseg - WARNING - The model and loaded state dict do not match exactly + +unexpected key in source state_dict: decode_head.convs.0.conv.weight, decode_head.convs.0.bn.weight, decode_head.convs.0.bn.bias, decode_head.convs.0.bn.running_mean, decode_head.convs.0.bn.running_var, decode_head.convs.0.bn.num_batches_tracked, decode_head.convs.1.conv.weight, decode_head.convs.1.bn.weight, decode_head.convs.1.bn.bias, decode_head.convs.1.bn.running_mean, decode_head.convs.1.bn.running_var, decode_head.convs.1.bn.num_batches_tracked, decode_head.convs.2.conv.weight, decode_head.convs.2.bn.weight, decode_head.convs.2.bn.bias, decode_head.convs.2.bn.running_mean, decode_head.convs.2.bn.running_var, decode_head.convs.2.bn.num_batches_tracked, decode_head.convs.3.conv.weight, decode_head.convs.3.bn.weight, 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Sequential( + (0): Conv2d(128, 512, kernel_size=(1, 1), stride=(1, 1)) + (1): Conv2d(512, 512, kernel_size=(3, 3), stride=(1, 1), padding=(1, 1), groups=512) + (2): GELU(approximate='none') + (3): Dropout(p=0.0, inplace=False) + (4): Conv2d(512, 128, kernel_size=(1, 1), stride=(1, 1)) + (5): Dropout(p=0.0, inplace=False) + ) + (dropout_layer): DropPath() + ) + ) + (2): TransformerEncoderLayer( + (norm1): LayerNorm((128,), eps=1e-06, elementwise_affine=True) + (attn): EfficientMultiheadAttention( + (attn): MultiheadAttention( + (out_proj): NonDynamicallyQuantizableLinear(in_features=128, out_features=128, bias=True) + ) + (proj_drop): Dropout(p=0.0, inplace=False) + (dropout_layer): DropPath() + (sr): Conv2d(128, 128, kernel_size=(4, 4), stride=(4, 4)) + (norm): LayerNorm((128,), eps=1e-06, elementwise_affine=True) + ) + (norm2): LayerNorm((128,), eps=1e-06, elementwise_affine=True) + (ffn): MixFFN( + (activate): GELU(approximate='none') + (layers): Sequential( + (0): Conv2d(128, 512, 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(1): Conv2d(512, 512, kernel_size=(3, 3), stride=(1, 1), padding=(1, 1), groups=512) + (2): GELU(approximate='none') + (3): Dropout(p=0.0, inplace=False) + (4): Conv2d(512, 128, kernel_size=(1, 1), stride=(1, 1)) + (5): Dropout(p=0.0, inplace=False) + ) + (dropout_layer): DropPath() + ) + ) + ) + (2): LayerNorm((128,), eps=1e-06, elementwise_affine=True) + ) + (2): ModuleList( + (0): PatchEmbed( + (projection): Conv2d(128, 320, kernel_size=(3, 3), stride=(2, 2), padding=(1, 1)) + (norm): LayerNorm((320,), eps=1e-06, elementwise_affine=True) + ) + (1): ModuleList( + (0): TransformerEncoderLayer( + (norm1): LayerNorm((320,), eps=1e-06, elementwise_affine=True) + (attn): EfficientMultiheadAttention( + (attn): MultiheadAttention( + (out_proj): NonDynamicallyQuantizableLinear(in_features=320, out_features=320, bias=True) + ) + (proj_drop): Dropout(p=0.0, inplace=False) + (dropout_layer): DropPath() + (sr): Conv2d(320, 320, kernel_size=(2, 2), stride=(2, 2)) + (norm): LayerNorm((320,), 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eps=1e-06, elementwise_affine=True) + (ffn): MixFFN( + (activate): GELU(approximate='none') + (layers): Sequential( + (0): Conv2d(320, 1280, kernel_size=(1, 1), stride=(1, 1)) + (1): Conv2d(1280, 1280, kernel_size=(3, 3), stride=(1, 1), padding=(1, 1), groups=1280) + (2): GELU(approximate='none') + (3): Dropout(p=0.0, inplace=False) + (4): Conv2d(1280, 320, kernel_size=(1, 1), stride=(1, 1)) + (5): Dropout(p=0.0, inplace=False) + ) + (dropout_layer): DropPath() + ) + ) + (4): TransformerEncoderLayer( + (norm1): LayerNorm((320,), eps=1e-06, elementwise_affine=True) + (attn): EfficientMultiheadAttention( + (attn): MultiheadAttention( + (out_proj): NonDynamicallyQuantizableLinear(in_features=320, out_features=320, bias=True) + ) + (proj_drop): Dropout(p=0.0, inplace=False) + (dropout_layer): DropPath() + (sr): Conv2d(320, 320, kernel_size=(2, 2), stride=(2, 2)) + (norm): LayerNorm((320,), eps=1e-06, elementwise_affine=True) + ) + (norm2): LayerNorm((320,), eps=1e-06, elementwise_affine=True) + (ffn): MixFFN( + (activate): GELU(approximate='none') + (layers): Sequential( + (0): Conv2d(320, 1280, kernel_size=(1, 1), stride=(1, 1)) + (1): Conv2d(1280, 1280, kernel_size=(3, 3), stride=(1, 1), padding=(1, 1), groups=1280) + (2): GELU(approximate='none') + (3): Dropout(p=0.0, inplace=False) + (4): Conv2d(1280, 320, kernel_size=(1, 1), stride=(1, 1)) + (5): Dropout(p=0.0, inplace=False) + ) + (dropout_layer): DropPath() + ) + ) + (5): TransformerEncoderLayer( + (norm1): LayerNorm((320,), eps=1e-06, elementwise_affine=True) + (attn): EfficientMultiheadAttention( + (attn): MultiheadAttention( + (out_proj): NonDynamicallyQuantizableLinear(in_features=320, out_features=320, bias=True) + ) + (proj_drop): Dropout(p=0.0, inplace=False) + (dropout_layer): DropPath() + (sr): Conv2d(320, 320, kernel_size=(2, 2), stride=(2, 2)) + (norm): LayerNorm((320,), eps=1e-06, elementwise_affine=True) + ) + (norm2): LayerNorm((320,), eps=1e-06, elementwise_affine=True) + (ffn): MixFFN( + (activate): GELU(approximate='none') + (layers): Sequential( + (0): Conv2d(320, 1280, kernel_size=(1, 1), stride=(1, 1)) + (1): Conv2d(1280, 1280, kernel_size=(3, 3), stride=(1, 1), padding=(1, 1), groups=1280) + (2): GELU(approximate='none') + (3): Dropout(p=0.0, inplace=False) + (4): Conv2d(1280, 320, kernel_size=(1, 1), stride=(1, 1)) + (5): Dropout(p=0.0, inplace=False) + ) + (dropout_layer): DropPath() + ) + ) + ) + (2): LayerNorm((320,), eps=1e-06, elementwise_affine=True) + ) + (3): ModuleList( + (0): PatchEmbed( + (projection): Conv2d(320, 512, kernel_size=(3, 3), stride=(2, 2), padding=(1, 1)) + (norm): LayerNorm((512,), eps=1e-06, elementwise_affine=True) + ) + (1): ModuleList( + (0): TransformerEncoderLayer( + (norm1): LayerNorm((512,), eps=1e-06, elementwise_affine=True) + (attn): EfficientMultiheadAttention( + (attn): MultiheadAttention( + (out_proj): NonDynamicallyQuantizableLinear(in_features=512, out_features=512, bias=True) + ) + (proj_drop): Dropout(p=0.0, inplace=False) + (dropout_layer): DropPath() + ) + (norm2): LayerNorm((512,), eps=1e-06, elementwise_affine=True) + (ffn): MixFFN( + (activate): GELU(approximate='none') + (layers): Sequential( + (0): Conv2d(512, 2048, kernel_size=(1, 1), stride=(1, 1)) + (1): Conv2d(2048, 2048, kernel_size=(3, 3), stride=(1, 1), padding=(1, 1), groups=2048) + (2): GELU(approximate='none') + (3): Dropout(p=0.0, inplace=False) + (4): Conv2d(2048, 512, kernel_size=(1, 1), stride=(1, 1)) + (5): Dropout(p=0.0, inplace=False) + ) + (dropout_layer): DropPath() + ) + ) + (1): TransformerEncoderLayer( + (norm1): LayerNorm((512,), eps=1e-06, elementwise_affine=True) + (attn): EfficientMultiheadAttention( + (attn): MultiheadAttention( + (out_proj): NonDynamicallyQuantizableLinear(in_features=512, out_features=512, bias=True) + ) + (proj_drop): Dropout(p=0.0, inplace=False) + (dropout_layer): DropPath() + ) + (norm2): LayerNorm((512,), eps=1e-06, elementwise_affine=True) + (ffn): MixFFN( + (activate): GELU(approximate='none') + (layers): Sequential( + (0): Conv2d(512, 2048, kernel_size=(1, 1), stride=(1, 1)) + (1): Conv2d(2048, 2048, kernel_size=(3, 3), stride=(1, 1), padding=(1, 1), groups=2048) + (2): GELU(approximate='none') + (3): Dropout(p=0.0, inplace=False) + (4): Conv2d(2048, 512, kernel_size=(1, 1), stride=(1, 1)) + (5): Dropout(p=0.0, inplace=False) + ) + (dropout_layer): DropPath() + ) + ) + (2): TransformerEncoderLayer( + (norm1): LayerNorm((512,), eps=1e-06, elementwise_affine=True) + (attn): EfficientMultiheadAttention( + (attn): MultiheadAttention( + (out_proj): NonDynamicallyQuantizableLinear(in_features=512, out_features=512, bias=True) + ) + (proj_drop): Dropout(p=0.0, inplace=False) + (dropout_layer): DropPath() + ) + (norm2): LayerNorm((512,), eps=1e-06, elementwise_affine=True) + (ffn): MixFFN( + (activate): GELU(approximate='none') + (layers): Sequential( + (0): Conv2d(512, 2048, kernel_size=(1, 1), stride=(1, 1)) + (1): Conv2d(2048, 2048, kernel_size=(3, 3), stride=(1, 1), padding=(1, 1), groups=2048) + (2): GELU(approximate='none') + (3): Dropout(p=0.0, inplace=False) + (4): Conv2d(2048, 512, kernel_size=(1, 1), stride=(1, 1)) + (5): Dropout(p=0.0, inplace=False) + ) + (dropout_layer): DropPath() + ) + ) + ) + (2): LayerNorm((512,), eps=1e-06, elementwise_affine=True) + ) + ) + ) + init_cfg={'type': 'Pretrained', 'checkpoint': 'work_dirs2/segformer_mit_b2_segformer_head_unet_fc_single_step_ade_pretrained_freeze_embed_80k_ade20k151/best_mIoU_iter_64000.pth'} + (decode_head): SegformerHeadUnetFCHeadMultiStepWithGT( + input_transform=multiple_select, ignore_index=0, align_corners=False + (loss_decode): CrossEntropyLoss(avg_non_ignore=False) + (conv_seg): None + (dropout): Dropout2d(p=0.1, inplace=False) + (convs): ModuleList( + (0): ConvModule( + (conv): Conv2d(64, 256, kernel_size=(1, 1), stride=(1, 1), bias=False) + (bn): SyncBatchNorm(256, eps=1e-05, momentum=0.1, affine=True, track_running_stats=True) + (activate): ReLU(inplace=True) + ) + (1): ConvModule( + (conv): Conv2d(128, 256, kernel_size=(1, 1), stride=(1, 1), bias=False) + (bn): SyncBatchNorm(256, eps=1e-05, momentum=0.1, affine=True, track_running_stats=True) + (activate): ReLU(inplace=True) + ) + (2): ConvModule( + (conv): Conv2d(320, 256, kernel_size=(1, 1), stride=(1, 1), bias=False) + (bn): SyncBatchNorm(256, eps=1e-05, momentum=0.1, affine=True, track_running_stats=True) + (activate): ReLU(inplace=True) + ) + (3): ConvModule( + (conv): Conv2d(512, 256, kernel_size=(1, 1), stride=(1, 1), bias=False) + (bn): SyncBatchNorm(256, eps=1e-05, momentum=0.1, affine=True, track_running_stats=True) + (activate): ReLU(inplace=True) + ) + ) + (fusion_conv): ConvModule( + (conv): Conv2d(1024, 256, kernel_size=(1, 1), stride=(1, 1), bias=False) + (bn): SyncBatchNorm(256, eps=1e-05, momentum=0.1, affine=True, track_running_stats=True) + (activate): ReLU(inplace=True) + ) + (unet): Unet( + (init_conv): Conv2d(272, 128, kernel_size=(7, 7), stride=(1, 1), padding=(3, 3)) + (time_mlp): Sequential( + (0): SinusoidalPosEmb() + (1): Linear(in_features=128, out_features=512, bias=True) + (2): GELU(approximate='none') + (3): Linear(in_features=512, out_features=512, bias=True) + ) + (downs): ModuleList( + (0): ModuleList( + (0): ResnetBlock( + (mlp): Sequential( + (0): SiLU() + (1): Linear(in_features=512, out_features=256, bias=True) + ) + (block1): Block( + (proj): WeightStandardizedConv2d(128, 128, kernel_size=(3, 3), stride=(1, 1), padding=(1, 1)) + (norm): GroupNorm(8, 128, eps=1e-05, affine=True) + (act): SiLU() + ) + (block2): Block( + (proj): WeightStandardizedConv2d(128, 128, kernel_size=(3, 3), stride=(1, 1), padding=(1, 1)) + (norm): GroupNorm(8, 128, eps=1e-05, affine=True) + (act): SiLU() + ) + (res_conv): Identity() + ) + (1): ResnetBlock( + (mlp): Sequential( + (0): SiLU() + (1): Linear(in_features=512, out_features=256, bias=True) + ) + (block1): Block( + (proj): WeightStandardizedConv2d(128, 128, kernel_size=(3, 3), stride=(1, 1), padding=(1, 1)) + (norm): GroupNorm(8, 128, eps=1e-05, affine=True) + (act): SiLU() + ) + (block2): Block( + (proj): WeightStandardizedConv2d(128, 128, kernel_size=(3, 3), stride=(1, 1), padding=(1, 1)) + (norm): GroupNorm(8, 128, eps=1e-05, affine=True) + (act): SiLU() + ) + (res_conv): Identity() + ) + (2): Residual( + (fn): PreNorm( + (fn): LinearAttention( + (to_qkv): Conv2d(128, 384, kernel_size=(1, 1), stride=(1, 1), bias=False) + (to_out): Sequential( + (0): Conv2d(128, 128, kernel_size=(1, 1), stride=(1, 1)) + (1): LayerNorm() + ) + ) + (norm): LayerNorm() + ) + ) + (3): Conv2d(128, 128, kernel_size=(4, 4), stride=(2, 2), padding=(1, 1)) + ) + (1): ModuleList( + (0): ResnetBlock( + (mlp): Sequential( + (0): SiLU() + (1): Linear(in_features=512, out_features=256, bias=True) + ) + (block1): Block( + (proj): WeightStandardizedConv2d(128, 128, kernel_size=(3, 3), stride=(1, 1), padding=(1, 1)) + (norm): GroupNorm(8, 128, eps=1e-05, affine=True) + (act): SiLU() + ) + (block2): Block( + (proj): WeightStandardizedConv2d(128, 128, kernel_size=(3, 3), stride=(1, 1), padding=(1, 1)) + (norm): GroupNorm(8, 128, eps=1e-05, affine=True) + (act): SiLU() + ) + (res_conv): Identity() + ) + (1): ResnetBlock( + (mlp): Sequential( + (0): SiLU() + (1): Linear(in_features=512, out_features=256, bias=True) + ) + (block1): Block( + (proj): WeightStandardizedConv2d(128, 128, kernel_size=(3, 3), stride=(1, 1), padding=(1, 1)) + (norm): GroupNorm(8, 128, eps=1e-05, affine=True) + (act): SiLU() + ) + (block2): Block( + (proj): WeightStandardizedConv2d(128, 128, kernel_size=(3, 3), stride=(1, 1), padding=(1, 1)) + (norm): GroupNorm(8, 128, eps=1e-05, affine=True) + (act): SiLU() + ) + (res_conv): Identity() + ) + (2): Residual( + (fn): PreNorm( + (fn): LinearAttention( + (to_qkv): Conv2d(128, 384, kernel_size=(1, 1), stride=(1, 1), bias=False) + (to_out): Sequential( + (0): Conv2d(128, 128, kernel_size=(1, 1), stride=(1, 1)) + (1): LayerNorm() + ) + ) + (norm): LayerNorm() + ) + ) + (3): Conv2d(128, 128, kernel_size=(4, 4), stride=(2, 2), padding=(1, 1)) + ) + (2): ModuleList( + (0): ResnetBlock( + (mlp): Sequential( + (0): SiLU() + (1): Linear(in_features=512, out_features=256, bias=True) + ) + (block1): Block( + (proj): WeightStandardizedConv2d(128, 128, kernel_size=(3, 3), stride=(1, 1), padding=(1, 1)) + (norm): GroupNorm(8, 128, eps=1e-05, affine=True) + (act): SiLU() + ) + (block2): Block( + (proj): WeightStandardizedConv2d(128, 128, kernel_size=(3, 3), stride=(1, 1), padding=(1, 1)) + (norm): GroupNorm(8, 128, eps=1e-05, affine=True) + (act): SiLU() + ) + (res_conv): Identity() + ) + (1): ResnetBlock( + (mlp): Sequential( + (0): SiLU() + (1): Linear(in_features=512, out_features=256, bias=True) + ) + (block1): Block( + (proj): WeightStandardizedConv2d(128, 128, kernel_size=(3, 3), stride=(1, 1), padding=(1, 1)) + (norm): GroupNorm(8, 128, eps=1e-05, affine=True) + (act): SiLU() + ) + (block2): Block( + (proj): WeightStandardizedConv2d(128, 128, kernel_size=(3, 3), stride=(1, 1), padding=(1, 1)) + (norm): GroupNorm(8, 128, eps=1e-05, affine=True) + (act): SiLU() + ) + (res_conv): Identity() + ) + (2): Residual( + (fn): PreNorm( + (fn): LinearAttention( + (to_qkv): Conv2d(128, 384, kernel_size=(1, 1), stride=(1, 1), bias=False) + (to_out): Sequential( + (0): Conv2d(128, 128, kernel_size=(1, 1), stride=(1, 1)) + (1): LayerNorm() + ) + ) + (norm): LayerNorm() + ) + ) + (3): Conv2d(128, 128, kernel_size=(3, 3), stride=(1, 1), padding=(1, 1)) + ) + ) + (ups): ModuleList( + (0): ModuleList( + (0): ResnetBlock( + (mlp): Sequential( + (0): SiLU() + (1): Linear(in_features=512, out_features=256, bias=True) + ) + (block1): Block( + (proj): WeightStandardizedConv2d(256, 128, kernel_size=(3, 3), stride=(1, 1), padding=(1, 1)) + (norm): GroupNorm(8, 128, eps=1e-05, affine=True) + (act): SiLU() + ) + (block2): Block( + (proj): WeightStandardizedConv2d(128, 128, kernel_size=(3, 3), stride=(1, 1), padding=(1, 1)) + (norm): GroupNorm(8, 128, eps=1e-05, affine=True) + (act): SiLU() + ) + (res_conv): Conv2d(256, 128, kernel_size=(1, 1), stride=(1, 1)) + ) + (1): ResnetBlock( + (mlp): Sequential( + (0): SiLU() + (1): Linear(in_features=512, out_features=256, bias=True) + ) + (block1): Block( + (proj): WeightStandardizedConv2d(256, 128, kernel_size=(3, 3), stride=(1, 1), padding=(1, 1)) + (norm): GroupNorm(8, 128, eps=1e-05, affine=True) + (act): SiLU() + ) + (block2): Block( + (proj): WeightStandardizedConv2d(128, 128, kernel_size=(3, 3), stride=(1, 1), padding=(1, 1)) + (norm): GroupNorm(8, 128, eps=1e-05, affine=True) + (act): SiLU() + ) + (res_conv): Conv2d(256, 128, kernel_size=(1, 1), stride=(1, 1)) + ) + (2): Residual( + (fn): PreNorm( + (fn): LinearAttention( + (to_qkv): Conv2d(128, 384, kernel_size=(1, 1), stride=(1, 1), bias=False) + (to_out): Sequential( + (0): Conv2d(128, 128, kernel_size=(1, 1), stride=(1, 1)) + (1): LayerNorm() + ) + ) + (norm): LayerNorm() + ) + ) + (3): Sequential( + (0): Upsample(scale_factor=2.0, mode=nearest) + (1): Conv2d(128, 128, kernel_size=(3, 3), stride=(1, 1), padding=(1, 1)) + ) + ) + (1): ModuleList( + (0): ResnetBlock( + (mlp): Sequential( + (0): SiLU() + (1): Linear(in_features=512, out_features=256, bias=True) + ) + (block1): Block( + (proj): WeightStandardizedConv2d(256, 128, kernel_size=(3, 3), stride=(1, 1), padding=(1, 1)) + (norm): GroupNorm(8, 128, eps=1e-05, affine=True) + (act): SiLU() + ) + (block2): Block( + (proj): WeightStandardizedConv2d(128, 128, kernel_size=(3, 3), stride=(1, 1), padding=(1, 1)) + (norm): GroupNorm(8, 128, eps=1e-05, affine=True) + (act): SiLU() + ) + (res_conv): Conv2d(256, 128, kernel_size=(1, 1), stride=(1, 1)) + ) + (1): ResnetBlock( + (mlp): Sequential( + (0): SiLU() + (1): Linear(in_features=512, out_features=256, bias=True) + ) + (block1): Block( + (proj): WeightStandardizedConv2d(256, 128, kernel_size=(3, 3), stride=(1, 1), padding=(1, 1)) + (norm): GroupNorm(8, 128, eps=1e-05, affine=True) + (act): SiLU() + ) + (block2): Block( + (proj): WeightStandardizedConv2d(128, 128, kernel_size=(3, 3), stride=(1, 1), padding=(1, 1)) + (norm): GroupNorm(8, 128, eps=1e-05, affine=True) + (act): SiLU() + ) + (res_conv): Conv2d(256, 128, kernel_size=(1, 1), stride=(1, 1)) + ) + (2): Residual( + (fn): PreNorm( + (fn): LinearAttention( + (to_qkv): Conv2d(128, 384, kernel_size=(1, 1), stride=(1, 1), bias=False) + (to_out): Sequential( + (0): Conv2d(128, 128, kernel_size=(1, 1), stride=(1, 1)) + (1): LayerNorm() + ) + ) + (norm): LayerNorm() + ) + ) + (3): Sequential( + (0): Upsample(scale_factor=2.0, mode=nearest) + (1): Conv2d(128, 128, kernel_size=(3, 3), stride=(1, 1), padding=(1, 1)) + ) + ) + (2): ModuleList( + (0): ResnetBlock( + (mlp): Sequential( + (0): SiLU() + (1): Linear(in_features=512, out_features=256, bias=True) + ) + (block1): Block( + (proj): WeightStandardizedConv2d(256, 128, kernel_size=(3, 3), stride=(1, 1), padding=(1, 1)) + (norm): GroupNorm(8, 128, eps=1e-05, affine=True) + (act): SiLU() + ) + (block2): Block( + (proj): WeightStandardizedConv2d(128, 128, kernel_size=(3, 3), stride=(1, 1), padding=(1, 1)) + (norm): GroupNorm(8, 128, eps=1e-05, affine=True) + (act): SiLU() + ) + (res_conv): Conv2d(256, 128, kernel_size=(1, 1), stride=(1, 1)) + ) + (1): ResnetBlock( + (mlp): Sequential( + (0): SiLU() + (1): Linear(in_features=512, out_features=256, bias=True) + ) + (block1): Block( + (proj): WeightStandardizedConv2d(256, 128, kernel_size=(3, 3), stride=(1, 1), padding=(1, 1)) + (norm): GroupNorm(8, 128, eps=1e-05, affine=True) + (act): SiLU() + ) + (block2): Block( + (proj): WeightStandardizedConv2d(128, 128, kernel_size=(3, 3), stride=(1, 1), padding=(1, 1)) + (norm): GroupNorm(8, 128, eps=1e-05, affine=True) + (act): SiLU() + ) + (res_conv): Conv2d(256, 128, kernel_size=(1, 1), stride=(1, 1)) + ) + (2): Residual( + (fn): PreNorm( + (fn): LinearAttention( + (to_qkv): Conv2d(128, 384, kernel_size=(1, 1), stride=(1, 1), bias=False) + (to_out): Sequential( + (0): Conv2d(128, 128, kernel_size=(1, 1), stride=(1, 1)) + (1): LayerNorm() + ) + ) + (norm): LayerNorm() + ) + ) + (3): Conv2d(128, 128, kernel_size=(3, 3), stride=(1, 1), padding=(1, 1)) + ) + ) + (mid_block1): ResnetBlock( + (mlp): Sequential( + (0): SiLU() + (1): Linear(in_features=512, out_features=256, bias=True) + ) + (block1): Block( + (proj): WeightStandardizedConv2d(128, 128, kernel_size=(3, 3), stride=(1, 1), padding=(1, 1)) + (norm): GroupNorm(8, 128, eps=1e-05, affine=True) + (act): SiLU() + ) + (block2): Block( + (proj): WeightStandardizedConv2d(128, 128, kernel_size=(3, 3), stride=(1, 1), padding=(1, 1)) + (norm): GroupNorm(8, 128, eps=1e-05, affine=True) + (act): SiLU() + ) + (res_conv): Identity() + ) + (mid_attn): Residual( + (fn): PreNorm( + (fn): Attention( + (to_qkv): Conv2d(128, 384, kernel_size=(1, 1), stride=(1, 1), bias=False) + (to_out): Conv2d(128, 128, kernel_size=(1, 1), stride=(1, 1)) + ) + (norm): LayerNorm() + ) + ) + (mid_block2): ResnetBlock( + (mlp): Sequential( + (0): SiLU() + (1): Linear(in_features=512, out_features=256, bias=True) + ) + (block1): Block( + (proj): WeightStandardizedConv2d(128, 128, kernel_size=(3, 3), stride=(1, 1), padding=(1, 1)) + (norm): GroupNorm(8, 128, eps=1e-05, affine=True) + (act): SiLU() + ) + (block2): Block( + (proj): WeightStandardizedConv2d(128, 128, kernel_size=(3, 3), stride=(1, 1), padding=(1, 1)) + (norm): GroupNorm(8, 128, eps=1e-05, affine=True) + (act): SiLU() + ) + (res_conv): Identity() + ) + (final_res_block): ResnetBlock( + (mlp): Sequential( + (0): SiLU() + (1): Linear(in_features=512, out_features=256, bias=True) + ) + (block1): Block( + (proj): WeightStandardizedConv2d(256, 128, kernel_size=(3, 3), stride=(1, 1), padding=(1, 1)) + (norm): GroupNorm(8, 128, eps=1e-05, affine=True) + (act): SiLU() + ) + (block2): Block( + (proj): WeightStandardizedConv2d(128, 128, kernel_size=(3, 3), stride=(1, 1), padding=(1, 1)) + (norm): GroupNorm(8, 128, eps=1e-05, affine=True) + (act): SiLU() + ) + (res_conv): Conv2d(256, 128, kernel_size=(1, 1), stride=(1, 1)) + ) + (final_conv): Conv2d(128, 256, kernel_size=(1, 1), stride=(1, 1)) + ) + (conv_seg_new): Conv2d(256, 151, kernel_size=(1, 1), stride=(1, 1)) + (embed): Embedding(151, 16) + ) + init_cfg={'type': 'Pretrained', 'checkpoint': 'work_dirs2/segformer_mit_b2_segformer_head_unet_fc_single_step_ade_pretrained_freeze_embed_80k_ade20k151/best_mIoU_iter_64000.pth'} +) +2023-03-04 01:11:33,840 - mmseg - INFO - Loaded 20210 images +2023-03-04 01:11:37,986 - mmseg - INFO - Loaded 2000 images +2023-03-04 01:11:37,988 - mmseg - INFO - Start running, host: laizeqiang@SH-IDC1-10-140-37-137, work_dir: /mnt/petrelfs/laizeqiang/mmseg-baseline/work_dirs2/ablation_segformer_mit_b2_segformer_head_unet_fc_small_multi_step_ade_pretrained_freeze_embed_160k_ade20k151_finetune_ema_wgt +2023-03-04 01:11:37,989 - mmseg - INFO - Hooks will be executed in the following order: +before_run: +(VERY_HIGH ) StepLrUpdaterHook +(49 ) ConstantMomentumEMAHook +(NORMAL ) CheckpointHook +(LOW ) DistEvalHookMultiSteps +(VERY_LOW ) TextLoggerHook + -------------------- +before_train_epoch: +(VERY_HIGH ) StepLrUpdaterHook +(LOW ) IterTimerHook +(LOW ) DistEvalHookMultiSteps +(VERY_LOW ) TextLoggerHook + -------------------- +before_train_iter: +(VERY_HIGH ) StepLrUpdaterHook +(49 ) ConstantMomentumEMAHook +(LOW ) IterTimerHook +(LOW ) DistEvalHookMultiSteps + -------------------- +after_train_iter: +(ABOVE_NORMAL) OptimizerHook +(49 ) ConstantMomentumEMAHook +(NORMAL ) CheckpointHook +(LOW ) IterTimerHook +(LOW ) DistEvalHookMultiSteps +(VERY_LOW ) TextLoggerHook + -------------------- +after_train_epoch: +(NORMAL ) CheckpointHook +(LOW ) DistEvalHookMultiSteps +(VERY_LOW ) TextLoggerHook + -------------------- +before_val_epoch: +(LOW ) IterTimerHook +(VERY_LOW ) TextLoggerHook + -------------------- +before_val_iter: +(LOW ) IterTimerHook + -------------------- +after_val_iter: +(LOW ) IterTimerHook + -------------------- +after_val_epoch: +(VERY_LOW ) TextLoggerHook + -------------------- +after_run: +(VERY_LOW ) TextLoggerHook + -------------------- +2023-03-04 01:11:37,989 - mmseg - INFO - workflow: [('train', 1)], max: 160000 iters +2023-03-04 01:11:38,013 - mmseg - INFO - Checkpoints will be saved to /mnt/petrelfs/laizeqiang/mmseg-baseline/work_dirs2/ablation_segformer_mit_b2_segformer_head_unet_fc_small_multi_step_ade_pretrained_freeze_embed_160k_ade20k151_finetune_ema_wgt by HardDiskBackend. +2023-03-04 01:12:01,902 - mmseg - INFO - Swap parameters (before train) before iter [1] +2023-03-04 01:12:15,577 - mmseg - INFO - Iter [50/160000] lr: 7.350e-06, eta: 12:38:53, time: 0.285, data_time: 0.018, memory: 19921, decode.loss_ce: 0.2016, decode.acc_seg: 91.6593, loss: 0.2016 +2023-03-04 01:12:23,970 - mmseg - INFO - Iter [100/160000] lr: 1.485e-05, eta: 10:03:04, time: 0.168, data_time: 0.008, memory: 19921, decode.loss_ce: 0.2031, decode.acc_seg: 91.7496, loss: 0.2031 +2023-03-04 01:12:32,347 - mmseg - INFO - Iter [150/160000] lr: 2.235e-05, eta: 9:10:39, time: 0.167, data_time: 0.007, memory: 19921, decode.loss_ce: 0.1940, decode.acc_seg: 92.0921, loss: 0.1940 +2023-03-04 01:12:40,708 - mmseg - INFO - Iter [200/160000] lr: 2.985e-05, eta: 8:44:14, time: 0.167, data_time: 0.007, memory: 19921, decode.loss_ce: 0.1924, decode.acc_seg: 92.2450, loss: 0.1924 +2023-03-04 01:12:49,081 - mmseg - INFO - Iter [250/160000] lr: 3.735e-05, eta: 8:28:25, time: 0.167, data_time: 0.007, memory: 19921, decode.loss_ce: 0.1904, decode.acc_seg: 92.2376, loss: 0.1904 +2023-03-04 01:12:57,762 - mmseg - INFO - Iter [300/160000] lr: 4.485e-05, eta: 8:20:34, time: 0.174, data_time: 0.008, memory: 19921, decode.loss_ce: 0.1776, decode.acc_seg: 92.6331, loss: 0.1776 +2023-03-04 01:13:06,058 - mmseg - INFO - Iter [350/160000] lr: 5.235e-05, eta: 8:11:59, time: 0.166, data_time: 0.007, memory: 19921, decode.loss_ce: 0.1704, decode.acc_seg: 92.9952, loss: 0.1704 +2023-03-04 01:13:14,572 - mmseg - INFO - Iter [400/160000] lr: 5.985e-05, eta: 8:06:53, time: 0.170, data_time: 0.007, memory: 19921, decode.loss_ce: 0.1601, decode.acc_seg: 93.4761, loss: 0.1601 +2023-03-04 01:13:23,183 - mmseg - INFO - Iter [450/160000] lr: 6.735e-05, eta: 8:03:36, time: 0.172, data_time: 0.007, memory: 19921, decode.loss_ce: 0.1606, decode.acc_seg: 93.4674, loss: 0.1606 +2023-03-04 01:13:31,717 - mmseg - INFO - Iter [500/160000] lr: 7.485e-05, eta: 8:00:28, time: 0.171, data_time: 0.008, memory: 19921, decode.loss_ce: 0.1631, decode.acc_seg: 93.5391, loss: 0.1631 +2023-03-04 01:13:40,469 - mmseg - INFO - Iter [550/160000] lr: 8.235e-05, eta: 7:58:52, time: 0.175, data_time: 0.007, memory: 19921, decode.loss_ce: 0.1502, decode.acc_seg: 93.9576, loss: 0.1502 +2023-03-04 01:13:48,900 - mmseg - INFO - Iter [600/160000] lr: 8.985e-05, eta: 7:56:10, time: 0.169, data_time: 0.008, memory: 19921, decode.loss_ce: 0.1462, decode.acc_seg: 94.2045, loss: 0.1462 +2023-03-04 01:14:00,030 - mmseg - INFO - Iter [650/160000] lr: 9.735e-05, eta: 8:04:56, time: 0.223, data_time: 0.055, memory: 19921, decode.loss_ce: 0.1547, decode.acc_seg: 93.8190, loss: 0.1547 +2023-03-04 01:14:08,983 - mmseg - INFO - Iter [700/160000] lr: 1.049e-04, eta: 8:04:03, time: 0.179, data_time: 0.007, memory: 19921, decode.loss_ce: 0.1325, decode.acc_seg: 94.8188, loss: 0.1325 +2023-03-04 01:14:17,476 - mmseg - INFO - Iter [750/160000] lr: 1.124e-04, eta: 8:01:44, time: 0.170, data_time: 0.007, memory: 19921, decode.loss_ce: 0.1189, decode.acc_seg: 95.3302, loss: 0.1189 +2023-03-04 01:14:25,930 - mmseg - INFO - Iter [800/160000] lr: 1.199e-04, eta: 7:59:32, time: 0.169, data_time: 0.007, memory: 19921, decode.loss_ce: 0.1185, decode.acc_seg: 95.3312, loss: 0.1185 +2023-03-04 01:14:34,160 - mmseg - INFO - Iter [850/160000] lr: 1.274e-04, eta: 7:56:52, time: 0.165, data_time: 0.007, memory: 19921, decode.loss_ce: 0.1125, decode.acc_seg: 95.5575, loss: 0.1125 +2023-03-04 01:14:42,520 - mmseg - INFO - Iter [900/160000] lr: 1.349e-04, eta: 7:54:49, time: 0.167, data_time: 0.007, memory: 19921, decode.loss_ce: 0.1082, decode.acc_seg: 95.6974, loss: 0.1082 +2023-03-04 01:14:51,173 - mmseg - INFO - Iter [950/160000] lr: 1.424e-04, eta: 7:53:52, time: 0.173, data_time: 0.007, memory: 19921, decode.loss_ce: 0.1186, decode.acc_seg: 95.3540, loss: 0.1186 +2023-03-04 01:14:59,715 - mmseg - INFO - Exp name: ablation_segformer_mit_b2_segformer_head_unet_fc_small_multi_step_ade_pretrained_freeze_embed_160k_ade20k151_finetune_ema_wgt.py +2023-03-04 01:14:59,715 - mmseg - INFO - Iter [1000/160000] lr: 1.499e-04, eta: 7:52:40, time: 0.171, data_time: 0.007, memory: 19921, decode.loss_ce: 0.1005, decode.acc_seg: 96.1025, loss: 0.1005 +2023-03-04 01:15:08,294 - mmseg - INFO - Iter [1050/160000] lr: 1.500e-04, eta: 7:51:38, time: 0.171, data_time: 0.007, memory: 19921, decode.loss_ce: 0.0982, decode.acc_seg: 96.0905, loss: 0.0982 +2023-03-04 01:15:17,286 - mmseg - INFO - Iter [1100/160000] lr: 1.500e-04, eta: 7:51:42, time: 0.180, data_time: 0.008, memory: 19921, decode.loss_ce: 0.0940, decode.acc_seg: 96.2593, loss: 0.0940 +2023-03-04 01:15:26,054 - mmseg - INFO - Iter [1150/160000] lr: 1.500e-04, eta: 7:51:16, time: 0.176, data_time: 0.008, memory: 19921, decode.loss_ce: 0.0975, decode.acc_seg: 96.1340, loss: 0.0975 +2023-03-04 01:15:34,271 - mmseg - INFO - Iter [1200/160000] lr: 1.500e-04, eta: 7:49:36, time: 0.164, data_time: 0.007, memory: 19921, decode.loss_ce: 0.0998, decode.acc_seg: 96.0855, loss: 0.0998 +2023-03-04 01:15:42,657 - mmseg - INFO - Iter [1250/160000] lr: 1.500e-04, eta: 7:48:26, time: 0.168, data_time: 0.007, memory: 19921, decode.loss_ce: 0.0867, decode.acc_seg: 96.6170, loss: 0.0867 +2023-03-04 01:15:53,846 - mmseg - INFO - Iter [1300/160000] lr: 1.500e-04, eta: 7:53:00, time: 0.223, data_time: 0.057, memory: 19921, decode.loss_ce: 0.0918, decode.acc_seg: 96.4142, loss: 0.0918 +2023-03-04 01:16:02,364 - mmseg - INFO - Iter [1350/160000] lr: 1.500e-04, eta: 7:52:03, time: 0.171, data_time: 0.007, memory: 19921, decode.loss_ce: 0.0882, decode.acc_seg: 96.5798, loss: 0.0882 +2023-03-04 01:16:11,294 - mmseg - INFO - Iter [1400/160000] lr: 1.500e-04, eta: 7:51:55, time: 0.179, data_time: 0.008, memory: 19921, decode.loss_ce: 0.0921, decode.acc_seg: 96.3522, loss: 0.0921 +2023-03-04 01:16:19,705 - mmseg - INFO - Iter [1450/160000] lr: 1.500e-04, eta: 7:50:49, time: 0.168, data_time: 0.007, memory: 19921, decode.loss_ce: 0.0893, decode.acc_seg: 96.4473, loss: 0.0893 +2023-03-04 01:16:28,475 - mmseg - INFO - Iter [1500/160000] lr: 1.500e-04, eta: 7:50:24, time: 0.175, data_time: 0.007, memory: 19921, decode.loss_ce: 0.0876, decode.acc_seg: 96.5512, loss: 0.0876 +2023-03-04 01:16:36,980 - mmseg - INFO - Iter [1550/160000] lr: 1.500e-04, eta: 7:49:35, time: 0.170, data_time: 0.008, memory: 19921, decode.loss_ce: 0.0868, decode.acc_seg: 96.5818, loss: 0.0868 +2023-03-04 01:16:45,160 - mmseg - INFO - Iter [1600/160000] lr: 1.500e-04, eta: 7:48:15, time: 0.164, data_time: 0.008, memory: 19921, decode.loss_ce: 0.0868, decode.acc_seg: 96.5989, loss: 0.0868 +2023-03-04 01:16:53,809 - mmseg - INFO - Iter [1650/160000] lr: 1.500e-04, eta: 7:47:47, time: 0.173, data_time: 0.007, memory: 19921, decode.loss_ce: 0.0892, decode.acc_seg: 96.5182, loss: 0.0892 +2023-03-04 01:17:02,367 - mmseg - INFO - Iter [1700/160000] lr: 1.500e-04, eta: 7:47:09, time: 0.171, data_time: 0.007, memory: 19921, decode.loss_ce: 0.0877, decode.acc_seg: 96.5456, loss: 0.0877 +2023-03-04 01:17:10,595 - mmseg - INFO - Iter [1750/160000] lr: 1.500e-04, eta: 7:46:04, time: 0.165, data_time: 0.007, memory: 19921, decode.loss_ce: 0.0856, decode.acc_seg: 96.6468, loss: 0.0856 +2023-03-04 01:17:19,215 - mmseg - INFO - Iter [1800/160000] lr: 1.500e-04, eta: 7:45:36, time: 0.172, data_time: 0.008, memory: 19921, decode.loss_ce: 0.0814, decode.acc_seg: 96.8183, loss: 0.0814 +2023-03-04 01:17:27,914 - mmseg - INFO - Iter [1850/160000] lr: 1.500e-04, eta: 7:45:16, time: 0.174, data_time: 0.008, memory: 19921, decode.loss_ce: 0.0823, decode.acc_seg: 96.7596, loss: 0.0823 +2023-03-04 01:17:38,673 - mmseg - INFO - Iter [1900/160000] lr: 1.500e-04, eta: 7:47:48, time: 0.215, data_time: 0.055, memory: 19921, decode.loss_ce: 0.0747, decode.acc_seg: 97.0451, loss: 0.0747 +2023-03-04 01:17:47,114 - mmseg - INFO - Iter [1950/160000] lr: 1.500e-04, eta: 7:47:03, time: 0.169, data_time: 0.007, memory: 19921, decode.loss_ce: 0.0804, decode.acc_seg: 96.8729, loss: 0.0804 +2023-03-04 01:17:55,621 - mmseg - INFO - Exp name: ablation_segformer_mit_b2_segformer_head_unet_fc_small_multi_step_ade_pretrained_freeze_embed_160k_ade20k151_finetune_ema_wgt.py +2023-03-04 01:17:55,621 - mmseg - INFO - Iter [2000/160000] lr: 1.500e-04, eta: 7:46:27, time: 0.170, data_time: 0.007, memory: 19921, decode.loss_ce: 0.0877, decode.acc_seg: 96.4998, loss: 0.0877 +2023-03-04 01:18:04,264 - mmseg - INFO - Iter [2050/160000] lr: 1.500e-04, eta: 7:46:00, time: 0.173, data_time: 0.008, memory: 19921, decode.loss_ce: 0.0827, decode.acc_seg: 96.6947, loss: 0.0827 +2023-03-04 01:18:12,803 - mmseg - INFO - Iter [2100/160000] lr: 1.500e-04, eta: 7:45:29, time: 0.171, data_time: 0.007, memory: 19921, decode.loss_ce: 0.0790, decode.acc_seg: 96.8913, loss: 0.0790 +2023-03-04 01:18:21,120 - mmseg - INFO - Iter [2150/160000] lr: 1.500e-04, eta: 7:44:41, time: 0.166, data_time: 0.008, memory: 19921, decode.loss_ce: 0.0787, decode.acc_seg: 96.8459, loss: 0.0787 +2023-03-04 01:18:29,392 - mmseg - INFO - Iter [2200/160000] lr: 1.500e-04, eta: 7:43:52, time: 0.165, data_time: 0.007, memory: 19921, decode.loss_ce: 0.0777, decode.acc_seg: 97.0119, loss: 0.0777 +2023-03-04 01:18:37,905 - mmseg - INFO - Iter [2250/160000] lr: 1.500e-04, eta: 7:43:21, time: 0.170, data_time: 0.007, memory: 19921, decode.loss_ce: 0.0826, decode.acc_seg: 96.7646, loss: 0.0826 +2023-03-04 01:18:46,373 - mmseg - INFO - Iter [2300/160000] lr: 1.500e-04, eta: 7:42:50, time: 0.170, data_time: 0.008, memory: 19921, decode.loss_ce: 0.0728, decode.acc_seg: 97.0973, loss: 0.0728 +2023-03-04 01:18:54,498 - mmseg - INFO - Iter [2350/160000] lr: 1.500e-04, eta: 7:41:55, time: 0.162, data_time: 0.007, memory: 19921, decode.loss_ce: 0.0900, decode.acc_seg: 96.4335, loss: 0.0900 +2023-03-04 01:19:02,765 - mmseg - INFO - Iter [2400/160000] lr: 1.500e-04, eta: 7:41:11, time: 0.165, data_time: 0.008, memory: 19921, decode.loss_ce: 0.0720, decode.acc_seg: 97.0778, loss: 0.0720 +2023-03-04 01:19:11,457 - mmseg - INFO - Iter [2450/160000] lr: 1.500e-04, eta: 7:40:58, time: 0.174, data_time: 0.007, memory: 19921, decode.loss_ce: 0.0785, decode.acc_seg: 96.8699, loss: 0.0785 +2023-03-04 01:19:20,184 - mmseg - INFO - Iter [2500/160000] lr: 1.500e-04, eta: 7:40:46, time: 0.175, data_time: 0.007, memory: 19921, decode.loss_ce: 0.0766, decode.acc_seg: 96.9433, loss: 0.0766 +2023-03-04 01:19:31,023 - mmseg - INFO - Iter [2550/160000] lr: 1.500e-04, eta: 7:42:43, time: 0.216, data_time: 0.056, memory: 19921, decode.loss_ce: 0.0762, decode.acc_seg: 97.0061, loss: 0.0762 +2023-03-04 01:19:39,443 - mmseg - INFO - Iter [2600/160000] lr: 1.500e-04, eta: 7:42:11, time: 0.169, data_time: 0.008, memory: 19921, decode.loss_ce: 0.0815, decode.acc_seg: 96.8258, loss: 0.0815 +2023-03-04 01:19:48,247 - mmseg - INFO - Iter [2650/160000] lr: 1.500e-04, eta: 7:42:02, time: 0.176, data_time: 0.007, memory: 19921, decode.loss_ce: 0.0762, decode.acc_seg: 96.9782, loss: 0.0762 +2023-03-04 01:19:56,365 - mmseg - INFO - Iter [2700/160000] lr: 1.500e-04, eta: 7:41:13, time: 0.162, data_time: 0.007, memory: 19921, decode.loss_ce: 0.0710, decode.acc_seg: 97.1926, loss: 0.0710 +2023-03-04 01:20:04,872 - mmseg - INFO - Iter [2750/160000] lr: 1.500e-04, eta: 7:40:48, time: 0.170, data_time: 0.008, memory: 19921, decode.loss_ce: 0.0738, decode.acc_seg: 97.0487, loss: 0.0738 +2023-03-04 01:20:13,017 - mmseg - INFO - Iter [2800/160000] lr: 1.500e-04, eta: 7:40:03, time: 0.163, data_time: 0.008, memory: 19921, decode.loss_ce: 0.0827, decode.acc_seg: 96.7196, loss: 0.0827 +2023-03-04 01:20:21,297 - mmseg - INFO - Iter [2850/160000] lr: 1.500e-04, eta: 7:39:26, time: 0.166, data_time: 0.008, memory: 19921, decode.loss_ce: 0.0756, decode.acc_seg: 96.9768, loss: 0.0756 +2023-03-04 01:20:29,506 - mmseg - INFO - Iter [2900/160000] lr: 1.500e-04, eta: 7:38:47, time: 0.164, data_time: 0.008, memory: 19921, decode.loss_ce: 0.0769, decode.acc_seg: 96.9446, loss: 0.0769 +2023-03-04 01:20:38,154 - mmseg - INFO - Iter [2950/160000] lr: 1.500e-04, eta: 7:38:32, time: 0.173, data_time: 0.007, memory: 19921, decode.loss_ce: 0.0791, decode.acc_seg: 96.8963, loss: 0.0791 +2023-03-04 01:20:46,469 - mmseg - INFO - Exp name: ablation_segformer_mit_b2_segformer_head_unet_fc_small_multi_step_ade_pretrained_freeze_embed_160k_ade20k151_finetune_ema_wgt.py +2023-03-04 01:20:46,469 - mmseg - INFO - Iter [3000/160000] lr: 1.500e-04, eta: 7:38:00, time: 0.166, data_time: 0.007, memory: 19921, decode.loss_ce: 0.0711, decode.acc_seg: 97.1934, loss: 0.0711 +2023-03-04 01:20:54,616 - mmseg - INFO - Iter [3050/160000] lr: 1.500e-04, eta: 7:37:20, time: 0.163, data_time: 0.008, memory: 19921, decode.loss_ce: 0.0711, decode.acc_seg: 97.1188, loss: 0.0711 +2023-03-04 01:21:02,822 - mmseg - INFO - Iter [3100/160000] lr: 1.500e-04, eta: 7:36:44, time: 0.164, data_time: 0.007, memory: 19921, decode.loss_ce: 0.0739, decode.acc_seg: 97.0696, loss: 0.0739 +2023-03-04 01:21:11,096 - mmseg - INFO - Iter [3150/160000] lr: 1.500e-04, eta: 7:36:13, time: 0.166, data_time: 0.007, memory: 19921, decode.loss_ce: 0.0665, decode.acc_seg: 97.3380, loss: 0.0665 +2023-03-04 01:21:21,734 - mmseg - INFO - Iter [3200/160000] lr: 1.500e-04, eta: 7:37:38, time: 0.213, data_time: 0.056, memory: 19921, decode.loss_ce: 0.0666, decode.acc_seg: 97.3798, loss: 0.0666 +2023-03-04 01:21:30,055 - mmseg - INFO - Iter [3250/160000] lr: 1.500e-04, eta: 7:37:08, time: 0.166, data_time: 0.007, memory: 19921, decode.loss_ce: 0.0729, decode.acc_seg: 97.0583, loss: 0.0729 +2023-03-04 01:21:38,294 - mmseg - INFO - Iter [3300/160000] lr: 1.500e-04, eta: 7:36:35, time: 0.165, data_time: 0.007, memory: 19921, decode.loss_ce: 0.0710, decode.acc_seg: 97.1268, loss: 0.0710 +2023-03-04 01:21:46,739 - mmseg - INFO - Iter [3350/160000] lr: 1.500e-04, eta: 7:36:12, time: 0.169, data_time: 0.008, memory: 19921, decode.loss_ce: 0.0764, decode.acc_seg: 96.9674, loss: 0.0764 +2023-03-04 01:21:55,063 - mmseg - INFO - Iter [3400/160000] lr: 1.500e-04, eta: 7:35:45, time: 0.166, data_time: 0.007, memory: 19921, decode.loss_ce: 0.0753, decode.acc_seg: 96.9840, loss: 0.0753 +2023-03-04 01:22:03,166 - mmseg - INFO - Iter [3450/160000] lr: 1.500e-04, eta: 7:35:07, time: 0.162, data_time: 0.008, memory: 19921, decode.loss_ce: 0.0737, decode.acc_seg: 97.1043, loss: 0.0737 +2023-03-04 01:22:11,888 - mmseg - INFO - Iter [3500/160000] lr: 1.500e-04, eta: 7:34:58, time: 0.174, data_time: 0.007, memory: 19921, decode.loss_ce: 0.0714, decode.acc_seg: 97.1943, loss: 0.0714 +2023-03-04 01:22:20,623 - mmseg - INFO - Iter [3550/160000] lr: 1.500e-04, eta: 7:34:51, time: 0.175, data_time: 0.007, memory: 19921, decode.loss_ce: 0.0695, decode.acc_seg: 97.1630, loss: 0.0695 +2023-03-04 01:22:28,744 - mmseg - INFO - Iter [3600/160000] lr: 1.500e-04, eta: 7:34:16, time: 0.162, data_time: 0.007, memory: 19921, decode.loss_ce: 0.0730, decode.acc_seg: 97.1014, loss: 0.0730 +2023-03-04 01:22:37,246 - mmseg - INFO - Iter [3650/160000] lr: 1.500e-04, eta: 7:33:58, time: 0.170, data_time: 0.008, memory: 19921, decode.loss_ce: 0.0724, decode.acc_seg: 97.1102, loss: 0.0724 +2023-03-04 01:22:45,380 - mmseg - INFO - Iter [3700/160000] lr: 1.500e-04, eta: 7:33:25, time: 0.163, data_time: 0.007, memory: 19921, decode.loss_ce: 0.0725, decode.acc_seg: 97.1725, loss: 0.0725 +2023-03-04 01:22:53,620 - mmseg - INFO - Iter [3750/160000] lr: 1.500e-04, eta: 7:32:57, time: 0.165, data_time: 0.008, memory: 19921, decode.loss_ce: 0.0668, decode.acc_seg: 97.3088, loss: 0.0668 +2023-03-04 01:23:04,454 - mmseg - INFO - Iter [3800/160000] lr: 1.500e-04, eta: 7:34:16, time: 0.217, data_time: 0.055, memory: 19921, decode.loss_ce: 0.0720, decode.acc_seg: 97.1591, loss: 0.0720 +2023-03-04 01:23:13,147 - mmseg - INFO - Iter [3850/160000] lr: 1.500e-04, eta: 7:34:06, time: 0.174, data_time: 0.008, memory: 19921, decode.loss_ce: 0.0708, decode.acc_seg: 97.1665, loss: 0.0708 +2023-03-04 01:23:21,942 - mmseg - INFO - Iter [3900/160000] lr: 1.500e-04, eta: 7:34:00, time: 0.176, data_time: 0.007, memory: 19921, decode.loss_ce: 0.0676, decode.acc_seg: 97.2859, loss: 0.0676 +2023-03-04 01:23:30,384 - mmseg - INFO - Iter [3950/160000] lr: 1.500e-04, eta: 7:33:40, time: 0.169, data_time: 0.008, memory: 19921, decode.loss_ce: 0.0719, decode.acc_seg: 97.1468, loss: 0.0719 +2023-03-04 01:23:38,608 - mmseg - INFO - Exp name: ablation_segformer_mit_b2_segformer_head_unet_fc_small_multi_step_ade_pretrained_freeze_embed_160k_ade20k151_finetune_ema_wgt.py +2023-03-04 01:23:38,608 - mmseg - INFO - Iter [4000/160000] lr: 1.500e-04, eta: 7:33:11, time: 0.164, data_time: 0.007, memory: 19921, decode.loss_ce: 0.0657, decode.acc_seg: 97.4000, loss: 0.0657 +2023-03-04 01:23:47,144 - mmseg - INFO - Iter [4050/160000] lr: 1.500e-04, eta: 7:32:56, time: 0.171, data_time: 0.008, memory: 19921, decode.loss_ce: 0.0673, decode.acc_seg: 97.3135, loss: 0.0673 +2023-03-04 01:23:55,681 - mmseg - INFO - Iter [4100/160000] lr: 1.500e-04, eta: 7:32:41, time: 0.171, data_time: 0.007, memory: 19921, decode.loss_ce: 0.0708, decode.acc_seg: 97.2326, loss: 0.0708 +2023-03-04 01:24:03,819 - mmseg - INFO - Iter [4150/160000] lr: 1.500e-04, eta: 7:32:11, time: 0.163, data_time: 0.008, memory: 19921, decode.loss_ce: 0.0596, decode.acc_seg: 97.5706, loss: 0.0596 +2023-03-04 01:24:12,135 - mmseg - INFO - Iter [4200/160000] lr: 1.500e-04, eta: 7:31:48, time: 0.166, data_time: 0.007, memory: 19921, decode.loss_ce: 0.0699, decode.acc_seg: 97.1987, loss: 0.0699 +2023-03-04 01:24:20,536 - mmseg - INFO - Iter [4250/160000] lr: 1.500e-04, eta: 7:31:27, time: 0.168, data_time: 0.007, memory: 19921, decode.loss_ce: 0.0680, decode.acc_seg: 97.2649, loss: 0.0680 +2023-03-04 01:24:28,994 - mmseg - INFO - Iter [4300/160000] lr: 1.500e-04, eta: 7:31:11, time: 0.169, data_time: 0.008, memory: 19921, decode.loss_ce: 0.0638, decode.acc_seg: 97.4585, loss: 0.0638 +2023-03-04 01:24:37,140 - mmseg - INFO - Iter [4350/160000] lr: 1.500e-04, eta: 7:30:42, time: 0.163, data_time: 0.007, memory: 19921, decode.loss_ce: 0.0690, decode.acc_seg: 97.2702, loss: 0.0690 +2023-03-04 01:24:45,587 - mmseg - INFO - Iter [4400/160000] lr: 1.500e-04, eta: 7:30:25, time: 0.169, data_time: 0.007, memory: 19921, decode.loss_ce: 0.0756, decode.acc_seg: 97.0067, loss: 0.0756 +2023-03-04 01:24:56,501 - mmseg - INFO - Iter [4450/160000] lr: 1.500e-04, eta: 7:31:34, time: 0.219, data_time: 0.056, memory: 19921, decode.loss_ce: 0.0694, decode.acc_seg: 97.2318, loss: 0.0694 +2023-03-04 01:25:05,133 - mmseg - INFO - Iter [4500/160000] lr: 1.500e-04, eta: 7:31:23, time: 0.173, data_time: 0.008, memory: 19921, decode.loss_ce: 0.0759, decode.acc_seg: 96.9607, loss: 0.0759 +2023-03-04 01:25:13,509 - mmseg - INFO - Iter [4550/160000] lr: 1.500e-04, eta: 7:31:03, time: 0.168, data_time: 0.008, memory: 19921, decode.loss_ce: 0.0694, decode.acc_seg: 97.2712, loss: 0.0694 +2023-03-04 01:25:22,175 - mmseg - INFO - Iter [4600/160000] lr: 1.500e-04, eta: 7:30:53, time: 0.173, data_time: 0.007, memory: 19921, decode.loss_ce: 0.0682, decode.acc_seg: 97.2343, loss: 0.0682 +2023-03-04 01:25:30,723 - mmseg - INFO - Iter [4650/160000] lr: 1.500e-04, eta: 7:30:39, time: 0.171, data_time: 0.007, memory: 19921, decode.loss_ce: 0.0720, decode.acc_seg: 97.1532, loss: 0.0720 +2023-03-04 01:25:39,140 - mmseg - INFO - Iter [4700/160000] lr: 1.500e-04, eta: 7:30:20, time: 0.168, data_time: 0.008, memory: 19921, decode.loss_ce: 0.0662, decode.acc_seg: 97.3858, loss: 0.0662 +2023-03-04 01:25:47,446 - mmseg - INFO - Iter [4750/160000] lr: 1.500e-04, eta: 7:29:59, time: 0.166, data_time: 0.007, memory: 19921, decode.loss_ce: 0.0703, decode.acc_seg: 97.1761, loss: 0.0703 +2023-03-04 01:25:55,665 - mmseg - INFO - Iter [4800/160000] lr: 1.500e-04, eta: 7:29:35, time: 0.164, data_time: 0.008, memory: 19921, decode.loss_ce: 0.0686, decode.acc_seg: 97.1777, loss: 0.0686 +2023-03-04 01:26:04,107 - mmseg - INFO - Iter [4850/160000] lr: 1.500e-04, eta: 7:29:18, time: 0.169, data_time: 0.008, memory: 19921, decode.loss_ce: 0.0778, decode.acc_seg: 96.9007, loss: 0.0778 +2023-03-04 01:26:12,351 - mmseg - INFO - Iter [4900/160000] lr: 1.500e-04, eta: 7:28:56, time: 0.165, data_time: 0.008, memory: 19921, decode.loss_ce: 0.0629, decode.acc_seg: 97.4631, loss: 0.0629 +2023-03-04 01:26:20,906 - mmseg - INFO - Iter [4950/160000] lr: 1.500e-04, eta: 7:28:43, time: 0.171, data_time: 0.007, memory: 19921, decode.loss_ce: 0.0704, decode.acc_seg: 97.1750, loss: 0.0704 +2023-03-04 01:26:29,241 - mmseg - INFO - Exp name: ablation_segformer_mit_b2_segformer_head_unet_fc_small_multi_step_ade_pretrained_freeze_embed_160k_ade20k151_finetune_ema_wgt.py +2023-03-04 01:26:29,242 - mmseg - INFO - Iter [5000/160000] lr: 1.500e-04, eta: 7:28:24, time: 0.167, data_time: 0.008, memory: 19921, decode.loss_ce: 0.0624, decode.acc_seg: 97.5122, loss: 0.0624 +2023-03-04 01:26:39,908 - mmseg - INFO - Iter [5050/160000] lr: 1.500e-04, eta: 7:29:16, time: 0.213, data_time: 0.054, memory: 19921, decode.loss_ce: 0.0679, decode.acc_seg: 97.3206, loss: 0.0679 +2023-03-04 01:26:48,211 - mmseg - INFO - Iter [5100/160000] lr: 1.500e-04, eta: 7:28:55, time: 0.166, data_time: 0.007, memory: 19921, decode.loss_ce: 0.0675, decode.acc_seg: 97.2828, loss: 0.0675 +2023-03-04 01:26:56,587 - mmseg - INFO - Iter [5150/160000] lr: 1.500e-04, eta: 7:28:36, time: 0.167, data_time: 0.007, memory: 19921, decode.loss_ce: 0.0691, decode.acc_seg: 97.2612, loss: 0.0691 +2023-03-04 01:27:05,164 - mmseg - INFO - Iter [5200/160000] lr: 1.500e-04, eta: 7:28:24, time: 0.172, data_time: 0.008, memory: 19921, decode.loss_ce: 0.0665, decode.acc_seg: 97.3331, loss: 0.0665 +2023-03-04 01:27:13,456 - mmseg - INFO - Iter [5250/160000] lr: 1.500e-04, eta: 7:28:04, time: 0.166, data_time: 0.008, memory: 19921, decode.loss_ce: 0.0694, decode.acc_seg: 97.1926, loss: 0.0694 +2023-03-04 01:27:22,106 - mmseg - INFO - Iter [5300/160000] lr: 1.500e-04, eta: 7:27:54, time: 0.173, data_time: 0.008, memory: 19921, decode.loss_ce: 0.0631, decode.acc_seg: 97.4211, loss: 0.0631 +2023-03-04 01:27:30,479 - mmseg - INFO - Iter [5350/160000] lr: 1.500e-04, eta: 7:27:37, time: 0.167, data_time: 0.007, memory: 19921, decode.loss_ce: 0.0619, decode.acc_seg: 97.5270, loss: 0.0619 +2023-03-04 01:27:38,904 - mmseg - INFO - Iter [5400/160000] lr: 1.500e-04, eta: 7:27:20, time: 0.168, data_time: 0.007, memory: 19921, decode.loss_ce: 0.0598, decode.acc_seg: 97.5495, loss: 0.0598 +2023-03-04 01:27:47,040 - mmseg - INFO - Iter [5450/160000] lr: 1.500e-04, eta: 7:26:57, time: 0.163, data_time: 0.008, memory: 19921, decode.loss_ce: 0.0676, decode.acc_seg: 97.2964, loss: 0.0676 +2023-03-04 01:27:55,557 - mmseg - INFO - Iter [5500/160000] lr: 1.500e-04, eta: 7:26:43, time: 0.170, data_time: 0.007, memory: 19921, decode.loss_ce: 0.0710, decode.acc_seg: 97.1781, loss: 0.0710 +2023-03-04 01:28:04,206 - mmseg - INFO - Iter [5550/160000] lr: 1.500e-04, eta: 7:26:34, time: 0.173, data_time: 0.007, memory: 19921, decode.loss_ce: 0.0614, decode.acc_seg: 97.5633, loss: 0.0614 +2023-03-04 01:28:12,571 - mmseg - INFO - Iter [5600/160000] lr: 1.500e-04, eta: 7:26:16, time: 0.167, data_time: 0.007, memory: 19921, decode.loss_ce: 0.0635, decode.acc_seg: 97.4864, loss: 0.0635 +2023-03-04 01:28:21,350 - mmseg - INFO - Iter [5650/160000] lr: 1.500e-04, eta: 7:26:11, time: 0.176, data_time: 0.007, memory: 19921, decode.loss_ce: 0.0678, decode.acc_seg: 97.3063, loss: 0.0678 +2023-03-04 01:28:32,100 - mmseg - INFO - Iter [5700/160000] lr: 1.500e-04, eta: 7:26:59, time: 0.215, data_time: 0.053, memory: 19921, decode.loss_ce: 0.0645, decode.acc_seg: 97.3514, loss: 0.0645 +2023-03-04 01:28:40,372 - mmseg - INFO - Iter [5750/160000] lr: 1.500e-04, eta: 7:26:39, time: 0.165, data_time: 0.008, memory: 19921, decode.loss_ce: 0.0620, decode.acc_seg: 97.4659, loss: 0.0620 +2023-03-04 01:28:49,364 - mmseg - INFO - Iter [5800/160000] lr: 1.500e-04, eta: 7:26:38, time: 0.180, data_time: 0.007, memory: 19921, decode.loss_ce: 0.0673, decode.acc_seg: 97.2973, loss: 0.0673 +2023-03-04 01:28:57,953 - mmseg - INFO - Iter [5850/160000] lr: 1.500e-04, eta: 7:26:27, time: 0.172, data_time: 0.007, memory: 19921, decode.loss_ce: 0.0695, decode.acc_seg: 97.2326, loss: 0.0695 +2023-03-04 01:29:06,416 - mmseg - INFO - Iter [5900/160000] lr: 1.500e-04, eta: 7:26:12, time: 0.169, data_time: 0.007, memory: 19921, decode.loss_ce: 0.0591, decode.acc_seg: 97.6149, loss: 0.0591 +2023-03-04 01:29:15,232 - mmseg - INFO - Iter [5950/160000] lr: 1.500e-04, eta: 7:26:07, time: 0.176, data_time: 0.008, memory: 19921, decode.loss_ce: 0.0697, decode.acc_seg: 97.2071, loss: 0.0697 +2023-03-04 01:29:23,870 - mmseg - INFO - Exp name: ablation_segformer_mit_b2_segformer_head_unet_fc_small_multi_step_ade_pretrained_freeze_embed_160k_ade20k151_finetune_ema_wgt.py +2023-03-04 01:29:23,871 - mmseg - INFO - Iter [6000/160000] lr: 1.500e-04, eta: 7:25:57, time: 0.173, data_time: 0.008, memory: 19921, decode.loss_ce: 0.0628, decode.acc_seg: 97.4566, loss: 0.0628 +2023-03-04 01:29:32,865 - mmseg - INFO - Iter [6050/160000] lr: 1.500e-04, eta: 7:25:56, time: 0.180, data_time: 0.007, memory: 19921, decode.loss_ce: 0.0604, decode.acc_seg: 97.5082, loss: 0.0604 +2023-03-04 01:29:41,182 - mmseg - INFO - Iter [6100/160000] lr: 1.500e-04, eta: 7:25:37, time: 0.166, data_time: 0.007, memory: 19921, decode.loss_ce: 0.0580, decode.acc_seg: 97.6579, loss: 0.0580 +2023-03-04 01:29:49,639 - mmseg - INFO - Iter [6150/160000] lr: 1.500e-04, eta: 7:25:23, time: 0.169, data_time: 0.008, memory: 19921, decode.loss_ce: 0.0660, decode.acc_seg: 97.3902, loss: 0.0660 +2023-03-04 01:29:58,538 - mmseg - INFO - Iter [6200/160000] lr: 1.500e-04, eta: 7:25:20, time: 0.178, data_time: 0.007, memory: 19921, decode.loss_ce: 0.0650, decode.acc_seg: 97.3997, loss: 0.0650 +2023-03-04 01:30:06,797 - mmseg - INFO - Iter [6250/160000] lr: 1.500e-04, eta: 7:25:00, time: 0.165, data_time: 0.007, memory: 19921, decode.loss_ce: 0.0619, decode.acc_seg: 97.5365, loss: 0.0619 +2023-03-04 01:30:15,424 - mmseg - INFO - Iter [6300/160000] lr: 1.500e-04, eta: 7:24:51, time: 0.173, data_time: 0.007, memory: 19921, decode.loss_ce: 0.0627, decode.acc_seg: 97.4852, loss: 0.0627 +2023-03-04 01:30:26,248 - mmseg - INFO - Iter [6350/160000] lr: 1.500e-04, eta: 7:25:34, time: 0.216, data_time: 0.056, memory: 19921, decode.loss_ce: 0.0625, decode.acc_seg: 97.4896, loss: 0.0625 +2023-03-04 01:30:34,979 - mmseg - INFO - Iter [6400/160000] lr: 1.500e-04, eta: 7:25:26, time: 0.174, data_time: 0.007, memory: 19921, decode.loss_ce: 0.0693, decode.acc_seg: 97.2275, loss: 0.0693 +2023-03-04 01:30:43,671 - mmseg - INFO - Iter [6450/160000] lr: 1.500e-04, eta: 7:25:17, time: 0.174, data_time: 0.007, memory: 19921, decode.loss_ce: 0.0667, decode.acc_seg: 97.3635, loss: 0.0667 +2023-03-04 01:30:51,701 - mmseg - INFO - Iter [6500/160000] lr: 1.500e-04, eta: 7:24:52, time: 0.161, data_time: 0.007, memory: 19921, decode.loss_ce: 0.0594, decode.acc_seg: 97.6143, loss: 0.0594 +2023-03-04 01:31:00,025 - mmseg - INFO - Iter [6550/160000] lr: 1.500e-04, eta: 7:24:35, time: 0.167, data_time: 0.007, memory: 19921, decode.loss_ce: 0.0720, decode.acc_seg: 97.1550, loss: 0.0720 +2023-03-04 01:31:08,233 - mmseg - INFO - Iter [6600/160000] lr: 1.500e-04, eta: 7:24:15, time: 0.164, data_time: 0.007, memory: 19921, decode.loss_ce: 0.0748, decode.acc_seg: 97.0905, loss: 0.0748 +2023-03-04 01:31:16,554 - mmseg - INFO - Iter [6650/160000] lr: 1.500e-04, eta: 7:23:58, time: 0.166, data_time: 0.007, memory: 19921, decode.loss_ce: 0.0671, decode.acc_seg: 97.3146, loss: 0.0671 +2023-03-04 01:31:25,486 - mmseg - INFO - Iter [6700/160000] lr: 1.500e-04, eta: 7:23:55, time: 0.179, data_time: 0.007, memory: 19921, decode.loss_ce: 0.0601, decode.acc_seg: 97.5470, loss: 0.0601 +2023-03-04 01:31:33,907 - mmseg - INFO - Iter [6750/160000] lr: 1.500e-04, eta: 7:23:40, time: 0.168, data_time: 0.007, memory: 19921, decode.loss_ce: 0.0637, decode.acc_seg: 97.4610, loss: 0.0637 +2023-03-04 01:31:42,671 - mmseg - INFO - Iter [6800/160000] lr: 1.500e-04, eta: 7:23:33, time: 0.176, data_time: 0.007, memory: 19921, decode.loss_ce: 0.0668, decode.acc_seg: 97.2988, loss: 0.0668 +2023-03-04 01:31:51,172 - mmseg - INFO - Iter [6850/160000] lr: 1.500e-04, eta: 7:23:20, time: 0.170, data_time: 0.007, memory: 19921, decode.loss_ce: 0.0712, decode.acc_seg: 97.1848, loss: 0.0712 +2023-03-04 01:31:59,561 - mmseg - INFO - Iter [6900/160000] lr: 1.500e-04, eta: 7:23:05, time: 0.168, data_time: 0.007, memory: 19921, decode.loss_ce: 0.0714, decode.acc_seg: 97.1510, loss: 0.0714 +2023-03-04 01:32:10,540 - mmseg - INFO - Iter [6950/160000] lr: 1.500e-04, eta: 7:23:47, time: 0.220, data_time: 0.055, memory: 19921, decode.loss_ce: 0.0629, decode.acc_seg: 97.4337, loss: 0.0629 +2023-03-04 01:32:18,903 - mmseg - INFO - Exp name: ablation_segformer_mit_b2_segformer_head_unet_fc_small_multi_step_ade_pretrained_freeze_embed_160k_ade20k151_finetune_ema_wgt.py +2023-03-04 01:32:18,904 - mmseg - INFO - Iter [7000/160000] lr: 1.500e-04, eta: 7:23:31, time: 0.167, data_time: 0.008, memory: 19921, decode.loss_ce: 0.0684, decode.acc_seg: 97.2978, loss: 0.0684 +2023-03-04 01:32:27,184 - mmseg - INFO - Iter [7050/160000] lr: 1.500e-04, eta: 7:23:13, time: 0.166, data_time: 0.007, memory: 19921, decode.loss_ce: 0.0656, decode.acc_seg: 97.3517, loss: 0.0656 +2023-03-04 01:32:36,069 - mmseg - INFO - Iter [7100/160000] lr: 1.500e-04, eta: 7:23:09, time: 0.178, data_time: 0.007, memory: 19921, decode.loss_ce: 0.0681, decode.acc_seg: 97.2412, loss: 0.0681 +2023-03-04 01:32:44,444 - mmseg - INFO - Iter [7150/160000] lr: 1.500e-04, eta: 7:22:53, time: 0.167, data_time: 0.007, memory: 19921, decode.loss_ce: 0.0677, decode.acc_seg: 97.3090, loss: 0.0677 +2023-03-04 01:32:52,966 - mmseg - INFO - Iter [7200/160000] lr: 1.500e-04, eta: 7:22:41, time: 0.170, data_time: 0.007, memory: 19921, decode.loss_ce: 0.0650, decode.acc_seg: 97.3657, loss: 0.0650 +2023-03-04 01:33:01,326 - mmseg - INFO - Iter [7250/160000] lr: 1.500e-04, eta: 7:22:25, time: 0.167, data_time: 0.007, memory: 19921, decode.loss_ce: 0.0684, decode.acc_seg: 97.2784, loss: 0.0684 +2023-03-04 01:33:09,392 - mmseg - INFO - Iter [7300/160000] lr: 1.500e-04, eta: 7:22:03, time: 0.161, data_time: 0.007, memory: 19921, decode.loss_ce: 0.0604, decode.acc_seg: 97.5312, loss: 0.0604 +2023-03-04 01:33:17,684 - mmseg - INFO - Iter [7350/160000] lr: 1.500e-04, eta: 7:21:47, time: 0.166, data_time: 0.007, memory: 19921, decode.loss_ce: 0.0608, decode.acc_seg: 97.5144, loss: 0.0608 +2023-03-04 01:33:26,017 - mmseg - INFO - Iter [7400/160000] lr: 1.500e-04, eta: 7:21:31, time: 0.167, data_time: 0.007, memory: 19921, decode.loss_ce: 0.0505, decode.acc_seg: 97.9331, loss: 0.0505 +2023-03-04 01:33:34,480 - mmseg - INFO - Iter [7450/160000] lr: 1.500e-04, eta: 7:21:18, time: 0.169, data_time: 0.009, memory: 19921, decode.loss_ce: 0.0672, decode.acc_seg: 97.2856, loss: 0.0672 +2023-03-04 01:33:42,703 - mmseg - INFO - Iter [7500/160000] lr: 1.500e-04, eta: 7:21:00, time: 0.164, data_time: 0.007, memory: 19921, decode.loss_ce: 0.0670, decode.acc_seg: 97.2795, loss: 0.0670 +2023-03-04 01:33:51,072 - mmseg - INFO - Iter [7550/160000] lr: 1.500e-04, eta: 7:20:45, time: 0.167, data_time: 0.007, memory: 19921, decode.loss_ce: 0.0585, decode.acc_seg: 97.5978, loss: 0.0585 +2023-03-04 01:34:01,956 - mmseg - INFO - Iter [7600/160000] lr: 1.500e-04, eta: 7:21:20, time: 0.217, data_time: 0.056, memory: 19921, decode.loss_ce: 0.0667, decode.acc_seg: 97.2939, loss: 0.0667 +2023-03-04 01:34:10,726 - mmseg - INFO - Iter [7650/160000] lr: 1.500e-04, eta: 7:21:13, time: 0.176, data_time: 0.007, memory: 19921, decode.loss_ce: 0.0645, decode.acc_seg: 97.4061, loss: 0.0645 +2023-03-04 01:34:18,804 - mmseg - INFO - Iter [7700/160000] lr: 1.500e-04, eta: 7:20:53, time: 0.162, data_time: 0.007, memory: 19921, decode.loss_ce: 0.0569, decode.acc_seg: 97.7002, loss: 0.0569 +2023-03-04 01:34:26,932 - mmseg - INFO - Iter [7750/160000] lr: 1.500e-04, eta: 7:20:33, time: 0.163, data_time: 0.007, memory: 19921, decode.loss_ce: 0.0644, decode.acc_seg: 97.3371, loss: 0.0644 +2023-03-04 01:34:35,060 - mmseg - INFO - Iter [7800/160000] lr: 1.500e-04, eta: 7:20:13, time: 0.163, data_time: 0.007, memory: 19921, decode.loss_ce: 0.0570, decode.acc_seg: 97.6494, loss: 0.0570 +2023-03-04 01:34:43,392 - mmseg - INFO - Iter [7850/160000] lr: 1.500e-04, eta: 7:19:58, time: 0.166, data_time: 0.007, memory: 19921, decode.loss_ce: 0.0600, decode.acc_seg: 97.5616, loss: 0.0600 +2023-03-04 01:34:52,326 - mmseg - INFO - Iter [7900/160000] lr: 1.500e-04, eta: 7:19:54, time: 0.179, data_time: 0.008, memory: 19921, decode.loss_ce: 0.0668, decode.acc_seg: 97.2985, loss: 0.0668 +2023-03-04 01:35:01,284 - mmseg - INFO - Iter [7950/160000] lr: 1.500e-04, eta: 7:19:51, time: 0.179, data_time: 0.008, memory: 19921, decode.loss_ce: 0.0615, decode.acc_seg: 97.5326, loss: 0.0615 +2023-03-04 01:35:09,587 - mmseg - INFO - Exp name: ablation_segformer_mit_b2_segformer_head_unet_fc_small_multi_step_ade_pretrained_freeze_embed_160k_ade20k151_finetune_ema_wgt.py +2023-03-04 01:35:09,587 - mmseg - INFO - Iter [8000/160000] lr: 1.500e-04, eta: 7:19:35, time: 0.166, data_time: 0.007, memory: 19921, decode.loss_ce: 0.0689, decode.acc_seg: 97.2205, loss: 0.0689 +2023-03-04 01:35:18,069 - mmseg - INFO - Iter [8050/160000] lr: 1.500e-04, eta: 7:19:23, time: 0.170, data_time: 0.007, memory: 19921, decode.loss_ce: 0.0628, decode.acc_seg: 97.4734, loss: 0.0628 +2023-03-04 01:35:26,222 - mmseg - INFO - Iter [8100/160000] lr: 1.500e-04, eta: 7:19:04, time: 0.163, data_time: 0.008, memory: 19921, decode.loss_ce: 0.0654, decode.acc_seg: 97.3106, loss: 0.0654 +2023-03-04 01:35:34,709 - mmseg - INFO - Iter [8150/160000] lr: 1.500e-04, eta: 7:18:52, time: 0.169, data_time: 0.007, memory: 19921, decode.loss_ce: 0.0609, decode.acc_seg: 97.5404, loss: 0.0609 +2023-03-04 01:35:43,152 - mmseg - INFO - Iter [8200/160000] lr: 1.500e-04, eta: 7:18:39, time: 0.169, data_time: 0.008, memory: 19921, decode.loss_ce: 0.0604, decode.acc_seg: 97.5386, loss: 0.0604 +2023-03-04 01:35:54,006 - mmseg - INFO - Iter [8250/160000] lr: 1.500e-04, eta: 7:19:11, time: 0.217, data_time: 0.055, memory: 19921, decode.loss_ce: 0.0563, decode.acc_seg: 97.7132, loss: 0.0563 +2023-03-04 01:36:02,366 - mmseg - INFO - Iter [8300/160000] lr: 1.500e-04, eta: 7:18:56, time: 0.167, data_time: 0.007, memory: 19921, decode.loss_ce: 0.0680, decode.acc_seg: 97.2349, loss: 0.0680 +2023-03-04 01:36:10,936 - mmseg - INFO - Iter [8350/160000] lr: 1.500e-04, eta: 7:18:45, time: 0.171, data_time: 0.007, memory: 19921, decode.loss_ce: 0.0593, decode.acc_seg: 97.6114, loss: 0.0593 +2023-03-04 01:36:19,490 - mmseg - INFO - Iter [8400/160000] lr: 1.500e-04, eta: 7:18:35, time: 0.171, data_time: 0.008, memory: 19921, decode.loss_ce: 0.0666, decode.acc_seg: 97.3363, loss: 0.0666 +2023-03-04 01:36:27,995 - mmseg - INFO - Iter [8450/160000] lr: 1.500e-04, eta: 7:18:23, time: 0.170, data_time: 0.007, memory: 19921, decode.loss_ce: 0.0676, decode.acc_seg: 97.2732, loss: 0.0676 +2023-03-04 01:36:37,291 - mmseg - INFO - Iter [8500/160000] lr: 1.500e-04, eta: 7:18:25, time: 0.186, data_time: 0.007, memory: 19921, decode.loss_ce: 0.0646, decode.acc_seg: 97.3845, loss: 0.0646 +2023-03-04 01:36:45,773 - mmseg - INFO - Iter [8550/160000] lr: 1.500e-04, eta: 7:18:13, time: 0.170, data_time: 0.008, memory: 19921, decode.loss_ce: 0.0650, decode.acc_seg: 97.3681, loss: 0.0650 +2023-03-04 01:36:53,988 - mmseg - INFO - Iter [8600/160000] lr: 1.500e-04, eta: 7:17:56, time: 0.164, data_time: 0.007, memory: 19921, decode.loss_ce: 0.0599, decode.acc_seg: 97.5711, loss: 0.0599 +2023-03-04 01:37:02,346 - mmseg - INFO - Iter [8650/160000] lr: 1.500e-04, eta: 7:17:42, time: 0.167, data_time: 0.008, memory: 19921, decode.loss_ce: 0.0575, decode.acc_seg: 97.6456, loss: 0.0575 +2023-03-04 01:37:10,623 - mmseg - INFO - Iter [8700/160000] lr: 1.500e-04, eta: 7:17:26, time: 0.166, data_time: 0.007, memory: 19921, decode.loss_ce: 0.0641, decode.acc_seg: 97.3873, loss: 0.0641 +2023-03-04 01:37:19,226 - mmseg - INFO - Iter [8750/160000] lr: 1.500e-04, eta: 7:17:16, time: 0.172, data_time: 0.007, memory: 19921, decode.loss_ce: 0.0616, decode.acc_seg: 97.4884, loss: 0.0616 +2023-03-04 01:37:27,816 - mmseg - INFO - Iter [8800/160000] lr: 1.500e-04, eta: 7:17:06, time: 0.172, data_time: 0.007, memory: 19921, decode.loss_ce: 0.0614, decode.acc_seg: 97.5330, loss: 0.0614 +2023-03-04 01:37:38,386 - mmseg - INFO - Iter [8850/160000] lr: 1.500e-04, eta: 7:17:30, time: 0.211, data_time: 0.055, memory: 19921, decode.loss_ce: 0.0631, decode.acc_seg: 97.4677, loss: 0.0631 +2023-03-04 01:37:46,898 - mmseg - INFO - Iter [8900/160000] lr: 1.500e-04, eta: 7:17:18, time: 0.170, data_time: 0.008, memory: 19921, decode.loss_ce: 0.0617, decode.acc_seg: 97.5473, loss: 0.0617 +2023-03-04 01:37:55,540 - mmseg - INFO - Iter [8950/160000] lr: 1.500e-04, eta: 7:17:09, time: 0.173, data_time: 0.007, memory: 19921, decode.loss_ce: 0.0585, decode.acc_seg: 97.6198, loss: 0.0585 +2023-03-04 01:38:04,268 - mmseg - INFO - Exp name: ablation_segformer_mit_b2_segformer_head_unet_fc_small_multi_step_ade_pretrained_freeze_embed_160k_ade20k151_finetune_ema_wgt.py +2023-03-04 01:38:04,268 - mmseg - INFO - Iter [9000/160000] lr: 1.500e-04, eta: 7:17:01, time: 0.175, data_time: 0.008, memory: 19921, decode.loss_ce: 0.0629, decode.acc_seg: 97.4650, loss: 0.0629 +2023-03-04 01:38:12,764 - mmseg - INFO - Iter [9050/160000] lr: 1.500e-04, eta: 7:16:49, time: 0.170, data_time: 0.007, memory: 19921, decode.loss_ce: 0.0619, decode.acc_seg: 97.4985, loss: 0.0619 +2023-03-04 01:38:21,053 - mmseg - INFO - Iter [9100/160000] lr: 1.500e-04, eta: 7:16:34, time: 0.166, data_time: 0.008, memory: 19921, decode.loss_ce: 0.0615, decode.acc_seg: 97.4927, loss: 0.0615 +2023-03-04 01:38:29,571 - mmseg - INFO - Iter [9150/160000] lr: 1.500e-04, eta: 7:16:23, time: 0.170, data_time: 0.008, memory: 19921, decode.loss_ce: 0.0637, decode.acc_seg: 97.4077, loss: 0.0637 +2023-03-04 01:38:37,796 - mmseg - INFO - Iter [9200/160000] lr: 1.500e-04, eta: 7:16:06, time: 0.164, data_time: 0.007, memory: 19921, decode.loss_ce: 0.0630, decode.acc_seg: 97.4455, loss: 0.0630 +2023-03-04 01:38:46,073 - mmseg - INFO - Iter [9250/160000] lr: 1.500e-04, eta: 7:15:51, time: 0.166, data_time: 0.008, memory: 19921, decode.loss_ce: 0.0607, decode.acc_seg: 97.5045, loss: 0.0607 +2023-03-04 01:38:54,795 - mmseg - INFO - Iter [9300/160000] lr: 1.500e-04, eta: 7:15:43, time: 0.174, data_time: 0.007, memory: 19921, decode.loss_ce: 0.0669, decode.acc_seg: 97.3068, loss: 0.0669 +2023-03-04 01:39:03,530 - mmseg - INFO - Iter [9350/160000] lr: 1.500e-04, eta: 7:15:36, time: 0.175, data_time: 0.007, memory: 19921, decode.loss_ce: 0.0577, decode.acc_seg: 97.6295, loss: 0.0577 +2023-03-04 01:39:11,684 - mmseg - INFO - Iter [9400/160000] lr: 1.500e-04, eta: 7:15:19, time: 0.163, data_time: 0.007, memory: 19921, decode.loss_ce: 0.0677, decode.acc_seg: 97.2487, loss: 0.0677 +2023-03-04 01:39:19,942 - mmseg - INFO - Iter [9450/160000] lr: 1.500e-04, eta: 7:15:04, time: 0.165, data_time: 0.007, memory: 19921, decode.loss_ce: 0.0601, decode.acc_seg: 97.6015, loss: 0.0601 +2023-03-04 01:39:30,534 - mmseg - INFO - Iter [9500/160000] lr: 1.500e-04, eta: 7:15:25, time: 0.212, data_time: 0.053, memory: 19921, decode.loss_ce: 0.0647, decode.acc_seg: 97.3538, loss: 0.0647 +2023-03-04 01:39:38,928 - mmseg - INFO - Iter [9550/160000] lr: 1.500e-04, eta: 7:15:12, time: 0.168, data_time: 0.007, memory: 19921, decode.loss_ce: 0.0649, decode.acc_seg: 97.3775, loss: 0.0649 +2023-03-04 01:39:47,596 - mmseg - INFO - Iter [9600/160000] lr: 1.500e-04, eta: 7:15:03, time: 0.173, data_time: 0.007, memory: 19921, decode.loss_ce: 0.0690, decode.acc_seg: 97.1821, loss: 0.0690 +2023-03-04 01:39:56,250 - mmseg - INFO - Iter [9650/160000] lr: 1.500e-04, eta: 7:14:54, time: 0.173, data_time: 0.007, memory: 19921, decode.loss_ce: 0.0624, decode.acc_seg: 97.4951, loss: 0.0624 +2023-03-04 01:40:04,550 - mmseg - INFO - Iter [9700/160000] lr: 1.500e-04, eta: 7:14:40, time: 0.166, data_time: 0.008, memory: 19921, decode.loss_ce: 0.0607, decode.acc_seg: 97.5455, loss: 0.0607 +2023-03-04 01:40:12,732 - mmseg - INFO - Iter [9750/160000] lr: 1.500e-04, eta: 7:14:23, time: 0.164, data_time: 0.007, memory: 19921, decode.loss_ce: 0.0634, decode.acc_seg: 97.4109, loss: 0.0634 +2023-03-04 01:40:21,355 - mmseg - INFO - Iter [9800/160000] lr: 1.500e-04, eta: 7:14:14, time: 0.172, data_time: 0.007, memory: 19921, decode.loss_ce: 0.0629, decode.acc_seg: 97.4776, loss: 0.0629 +2023-03-04 01:40:29,973 - mmseg - INFO - Iter [9850/160000] lr: 1.500e-04, eta: 7:14:04, time: 0.173, data_time: 0.009, memory: 19921, decode.loss_ce: 0.0604, decode.acc_seg: 97.5832, loss: 0.0604 +2023-03-04 01:40:38,569 - mmseg - INFO - Iter [9900/160000] lr: 1.500e-04, eta: 7:13:55, time: 0.172, data_time: 0.008, memory: 19921, decode.loss_ce: 0.0598, decode.acc_seg: 97.5426, loss: 0.0598 +2023-03-04 01:40:47,394 - mmseg - INFO - Iter [9950/160000] lr: 1.500e-04, eta: 7:13:48, time: 0.176, data_time: 0.007, memory: 19921, decode.loss_ce: 0.0613, decode.acc_seg: 97.5089, loss: 0.0613 +2023-03-04 01:40:56,054 - mmseg - INFO - Exp name: ablation_segformer_mit_b2_segformer_head_unet_fc_small_multi_step_ade_pretrained_freeze_embed_160k_ade20k151_finetune_ema_wgt.py +2023-03-04 01:40:56,054 - mmseg - INFO - Iter [10000/160000] lr: 1.500e-04, eta: 7:13:39, time: 0.173, data_time: 0.007, memory: 19921, decode.loss_ce: 0.0659, decode.acc_seg: 97.3272, loss: 0.0659 +2023-03-04 01:41:04,335 - mmseg - INFO - Iter [10050/160000] lr: 1.500e-04, eta: 7:13:25, time: 0.166, data_time: 0.007, memory: 19921, decode.loss_ce: 0.0638, decode.acc_seg: 97.4040, loss: 0.0638 +2023-03-04 01:41:14,953 - mmseg - INFO - Iter [10100/160000] lr: 1.500e-04, eta: 7:13:45, time: 0.212, data_time: 0.053, memory: 19921, decode.loss_ce: 0.0691, decode.acc_seg: 97.1489, loss: 0.0691 +2023-03-04 01:41:23,144 - mmseg - INFO - Iter [10150/160000] lr: 1.500e-04, eta: 7:13:29, time: 0.164, data_time: 0.008, memory: 19921, decode.loss_ce: 0.0587, decode.acc_seg: 97.6127, loss: 0.0587 +2023-03-04 01:41:31,568 - mmseg - INFO - Iter [10200/160000] lr: 1.500e-04, eta: 7:13:17, time: 0.168, data_time: 0.008, memory: 19921, decode.loss_ce: 0.0610, decode.acc_seg: 97.5650, loss: 0.0610 +2023-03-04 01:41:39,618 - mmseg - INFO - Iter [10250/160000] lr: 1.500e-04, eta: 7:12:59, time: 0.161, data_time: 0.008, memory: 19921, decode.loss_ce: 0.0643, decode.acc_seg: 97.3652, loss: 0.0643 +2023-03-04 01:41:47,941 - mmseg - INFO - Iter [10300/160000] lr: 1.500e-04, eta: 7:12:45, time: 0.166, data_time: 0.008, memory: 19921, decode.loss_ce: 0.0563, decode.acc_seg: 97.7145, loss: 0.0563 +2023-03-04 01:41:56,353 - mmseg - INFO - Iter [10350/160000] lr: 1.500e-04, eta: 7:12:33, time: 0.168, data_time: 0.008, memory: 19921, decode.loss_ce: 0.0669, decode.acc_seg: 97.3290, loss: 0.0669 +2023-03-04 01:42:04,747 - mmseg - INFO - Iter [10400/160000] lr: 1.500e-04, eta: 7:12:20, time: 0.168, data_time: 0.007, memory: 19921, decode.loss_ce: 0.0571, decode.acc_seg: 97.6695, loss: 0.0571 +2023-03-04 01:42:13,225 - mmseg - INFO - Iter [10450/160000] lr: 1.500e-04, eta: 7:12:08, time: 0.170, data_time: 0.008, memory: 19921, decode.loss_ce: 0.0537, decode.acc_seg: 97.7943, loss: 0.0537 +2023-03-04 01:42:21,683 - mmseg - INFO - Iter [10500/160000] lr: 1.500e-04, eta: 7:11:57, time: 0.169, data_time: 0.008, memory: 19921, decode.loss_ce: 0.0630, decode.acc_seg: 97.4769, loss: 0.0630 +2023-03-04 01:42:29,797 - mmseg - INFO - Iter [10550/160000] lr: 1.500e-04, eta: 7:11:40, time: 0.162, data_time: 0.007, memory: 19921, decode.loss_ce: 0.0642, decode.acc_seg: 97.3535, loss: 0.0642 +2023-03-04 01:42:38,205 - mmseg - INFO - Iter [10600/160000] lr: 1.500e-04, eta: 7:11:28, time: 0.168, data_time: 0.008, memory: 19921, decode.loss_ce: 0.0553, decode.acc_seg: 97.7371, loss: 0.0553 +2023-03-04 01:42:46,942 - mmseg - INFO - Iter [10650/160000] lr: 1.500e-04, eta: 7:11:20, time: 0.174, data_time: 0.007, memory: 19921, decode.loss_ce: 0.0601, decode.acc_seg: 97.5561, loss: 0.0601 +2023-03-04 01:42:55,343 - mmseg - INFO - Iter [10700/160000] lr: 1.500e-04, eta: 7:11:08, time: 0.168, data_time: 0.007, memory: 19921, decode.loss_ce: 0.0574, decode.acc_seg: 97.6942, loss: 0.0574 +2023-03-04 01:43:06,559 - mmseg - INFO - Iter [10750/160000] lr: 1.500e-04, eta: 7:11:35, time: 0.224, data_time: 0.059, memory: 19921, decode.loss_ce: 0.0677, decode.acc_seg: 97.2781, loss: 0.0677 +2023-03-04 01:43:14,787 - mmseg - INFO - Iter [10800/160000] lr: 1.500e-04, eta: 7:11:20, time: 0.165, data_time: 0.008, memory: 19921, decode.loss_ce: 0.0597, decode.acc_seg: 97.5767, loss: 0.0597 +2023-03-04 01:43:22,923 - mmseg - INFO - Iter [10850/160000] lr: 1.500e-04, eta: 7:11:04, time: 0.163, data_time: 0.007, memory: 19921, decode.loss_ce: 0.0572, decode.acc_seg: 97.6747, loss: 0.0572 +2023-03-04 01:43:31,195 - mmseg - INFO - Iter [10900/160000] lr: 1.500e-04, eta: 7:10:50, time: 0.165, data_time: 0.007, memory: 19921, decode.loss_ce: 0.0596, decode.acc_seg: 97.6050, loss: 0.0596 +2023-03-04 01:43:39,571 - mmseg - INFO - Iter [10950/160000] lr: 1.500e-04, eta: 7:10:37, time: 0.168, data_time: 0.007, memory: 19921, decode.loss_ce: 0.0583, decode.acc_seg: 97.6519, loss: 0.0583 +2023-03-04 01:43:48,210 - mmseg - INFO - Exp name: ablation_segformer_mit_b2_segformer_head_unet_fc_small_multi_step_ade_pretrained_freeze_embed_160k_ade20k151_finetune_ema_wgt.py +2023-03-04 01:43:48,210 - mmseg - INFO - Iter [11000/160000] lr: 1.500e-04, eta: 7:10:28, time: 0.173, data_time: 0.007, memory: 19921, decode.loss_ce: 0.0591, decode.acc_seg: 97.5996, loss: 0.0591 +2023-03-04 01:43:56,321 - mmseg - INFO - Iter [11050/160000] lr: 1.500e-04, eta: 7:10:12, time: 0.162, data_time: 0.007, memory: 19921, decode.loss_ce: 0.0576, decode.acc_seg: 97.6836, loss: 0.0576 +2023-03-04 01:44:05,296 - mmseg - INFO - Iter [11100/160000] lr: 1.500e-04, eta: 7:10:07, time: 0.180, data_time: 0.007, memory: 19921, decode.loss_ce: 0.0606, decode.acc_seg: 97.5223, loss: 0.0606 +2023-03-04 01:44:13,549 - mmseg - INFO - Iter [11150/160000] lr: 1.500e-04, eta: 7:09:53, time: 0.165, data_time: 0.007, memory: 19921, decode.loss_ce: 0.0541, decode.acc_seg: 97.7638, loss: 0.0541 +2023-03-04 01:44:22,212 - mmseg - INFO - Iter [11200/160000] lr: 1.500e-04, eta: 7:09:44, time: 0.173, data_time: 0.007, memory: 19921, decode.loss_ce: 0.0603, decode.acc_seg: 97.5577, loss: 0.0603 +2023-03-04 01:44:30,431 - mmseg - INFO - Iter [11250/160000] lr: 1.500e-04, eta: 7:09:30, time: 0.164, data_time: 0.008, memory: 19921, decode.loss_ce: 0.0588, decode.acc_seg: 97.5921, loss: 0.0588 +2023-03-04 01:44:38,761 - mmseg - INFO - Iter [11300/160000] lr: 1.500e-04, eta: 7:09:17, time: 0.167, data_time: 0.007, memory: 19921, decode.loss_ce: 0.0619, decode.acc_seg: 97.4719, loss: 0.0619 +2023-03-04 01:44:47,391 - mmseg - INFO - Iter [11350/160000] lr: 1.500e-04, eta: 7:09:08, time: 0.173, data_time: 0.007, memory: 19921, decode.loss_ce: 0.0540, decode.acc_seg: 97.7633, loss: 0.0540 +2023-03-04 01:44:58,307 - mmseg - INFO - Iter [11400/160000] lr: 1.500e-04, eta: 7:09:29, time: 0.218, data_time: 0.053, memory: 19921, decode.loss_ce: 0.0643, decode.acc_seg: 97.3817, loss: 0.0643 +2023-03-04 01:45:06,399 - mmseg - INFO - Iter [11450/160000] lr: 1.500e-04, eta: 7:09:12, time: 0.162, data_time: 0.007, memory: 19921, decode.loss_ce: 0.0662, decode.acc_seg: 97.3090, loss: 0.0662 +2023-03-04 01:45:14,573 - mmseg - INFO - Iter [11500/160000] lr: 1.500e-04, eta: 7:08:57, time: 0.163, data_time: 0.008, memory: 19921, decode.loss_ce: 0.0573, decode.acc_seg: 97.6443, loss: 0.0573 +2023-03-04 01:45:23,533 - mmseg - INFO - Iter [11550/160000] lr: 1.500e-04, eta: 7:08:52, time: 0.179, data_time: 0.007, memory: 19921, decode.loss_ce: 0.0553, decode.acc_seg: 97.7283, loss: 0.0553 +2023-03-04 01:45:31,759 - mmseg - INFO - Iter [11600/160000] lr: 1.500e-04, eta: 7:08:38, time: 0.165, data_time: 0.007, memory: 19921, decode.loss_ce: 0.0555, decode.acc_seg: 97.7526, loss: 0.0555 +2023-03-04 01:45:40,714 - mmseg - INFO - Iter [11650/160000] lr: 1.500e-04, eta: 7:08:33, time: 0.179, data_time: 0.008, memory: 19921, decode.loss_ce: 0.0592, decode.acc_seg: 97.5941, loss: 0.0592 +2023-03-04 01:45:48,802 - mmseg - INFO - Iter [11700/160000] lr: 1.500e-04, eta: 7:08:17, time: 0.162, data_time: 0.007, memory: 19921, decode.loss_ce: 0.0631, decode.acc_seg: 97.4115, loss: 0.0631 +2023-03-04 01:45:57,106 - mmseg - INFO - Iter [11750/160000] lr: 1.500e-04, eta: 7:08:04, time: 0.166, data_time: 0.007, memory: 19921, decode.loss_ce: 0.0620, decode.acc_seg: 97.5260, loss: 0.0620 +2023-03-04 01:46:05,951 - mmseg - INFO - Iter [11800/160000] lr: 1.500e-04, eta: 7:07:58, time: 0.177, data_time: 0.008, memory: 19921, decode.loss_ce: 0.0610, decode.acc_seg: 97.5455, loss: 0.0610 +2023-03-04 01:46:14,258 - mmseg - INFO - Iter [11850/160000] lr: 1.500e-04, eta: 7:07:44, time: 0.166, data_time: 0.008, memory: 19921, decode.loss_ce: 0.0579, decode.acc_seg: 97.6443, loss: 0.0579 +2023-03-04 01:46:22,330 - mmseg - INFO - Iter [11900/160000] lr: 1.500e-04, eta: 7:07:28, time: 0.162, data_time: 0.008, memory: 19921, decode.loss_ce: 0.0635, decode.acc_seg: 97.3687, loss: 0.0635 +2023-03-04 01:46:30,949 - mmseg - INFO - Iter [11950/160000] lr: 1.500e-04, eta: 7:07:19, time: 0.172, data_time: 0.009, memory: 19921, decode.loss_ce: 0.0616, decode.acc_seg: 97.4520, loss: 0.0616 +2023-03-04 01:46:41,973 - mmseg - INFO - Exp name: ablation_segformer_mit_b2_segformer_head_unet_fc_small_multi_step_ade_pretrained_freeze_embed_160k_ade20k151_finetune_ema_wgt.py +2023-03-04 01:46:41,974 - mmseg - INFO - Iter [12000/160000] lr: 1.500e-04, eta: 7:07:40, time: 0.221, data_time: 0.053, memory: 19921, decode.loss_ce: 0.0660, decode.acc_seg: 97.3345, loss: 0.0660 +2023-03-04 01:46:50,110 - mmseg - INFO - Iter [12050/160000] lr: 1.500e-04, eta: 7:07:25, time: 0.163, data_time: 0.007, memory: 19921, decode.loss_ce: 0.0643, decode.acc_seg: 97.3728, loss: 0.0643 +2023-03-04 01:46:58,430 - mmseg - INFO - Iter [12100/160000] lr: 1.500e-04, eta: 7:07:12, time: 0.166, data_time: 0.007, memory: 19921, decode.loss_ce: 0.0643, decode.acc_seg: 97.3844, loss: 0.0643 +2023-03-04 01:47:06,878 - mmseg - INFO - Iter [12150/160000] lr: 1.500e-04, eta: 7:07:00, time: 0.169, data_time: 0.008, memory: 19921, decode.loss_ce: 0.0596, decode.acc_seg: 97.5689, loss: 0.0596 +2023-03-04 01:47:15,149 - mmseg - INFO - Iter [12200/160000] lr: 1.500e-04, eta: 7:06:47, time: 0.165, data_time: 0.007, memory: 19921, decode.loss_ce: 0.0557, decode.acc_seg: 97.7031, loss: 0.0557 +2023-03-04 01:47:23,704 - mmseg - INFO - Iter [12250/160000] lr: 1.500e-04, eta: 7:06:37, time: 0.171, data_time: 0.007, memory: 19921, decode.loss_ce: 0.0561, decode.acc_seg: 97.6934, loss: 0.0561 +2023-03-04 01:47:32,001 - mmseg - INFO - Iter [12300/160000] lr: 1.500e-04, eta: 7:06:24, time: 0.166, data_time: 0.007, memory: 19921, decode.loss_ce: 0.0626, decode.acc_seg: 97.4510, loss: 0.0626 +2023-03-04 01:47:40,325 - mmseg - INFO - Iter [12350/160000] lr: 1.500e-04, eta: 7:06:11, time: 0.166, data_time: 0.007, memory: 19921, decode.loss_ce: 0.0579, decode.acc_seg: 97.6485, loss: 0.0579 +2023-03-04 01:47:48,692 - mmseg - INFO - Iter [12400/160000] lr: 1.500e-04, eta: 7:05:59, time: 0.167, data_time: 0.008, memory: 19921, decode.loss_ce: 0.0579, decode.acc_seg: 97.6083, loss: 0.0579 +2023-03-04 01:47:57,063 - mmseg - INFO - Iter [12450/160000] lr: 1.500e-04, eta: 7:05:47, time: 0.168, data_time: 0.008, memory: 19921, decode.loss_ce: 0.0631, decode.acc_seg: 97.4714, loss: 0.0631 +2023-03-04 01:48:05,469 - mmseg - INFO - Iter [12500/160000] lr: 1.500e-04, eta: 7:05:35, time: 0.168, data_time: 0.007, memory: 19921, decode.loss_ce: 0.0629, decode.acc_seg: 97.4123, loss: 0.0629 +2023-03-04 01:48:13,612 - mmseg - INFO - Iter [12550/160000] lr: 1.500e-04, eta: 7:05:21, time: 0.163, data_time: 0.008, memory: 19921, decode.loss_ce: 0.0593, decode.acc_seg: 97.5344, loss: 0.0593 +2023-03-04 01:48:21,837 - mmseg - INFO - Iter [12600/160000] lr: 1.500e-04, eta: 7:05:07, time: 0.164, data_time: 0.007, memory: 19921, decode.loss_ce: 0.0559, decode.acc_seg: 97.6779, loss: 0.0559 +2023-03-04 01:48:32,695 - mmseg - INFO - Iter [12650/160000] lr: 1.500e-04, eta: 7:05:24, time: 0.217, data_time: 0.056, memory: 19921, decode.loss_ce: 0.0595, decode.acc_seg: 97.5527, loss: 0.0595 +2023-03-04 01:48:40,725 - mmseg - INFO - Iter [12700/160000] lr: 1.500e-04, eta: 7:05:08, time: 0.161, data_time: 0.007, memory: 19921, decode.loss_ce: 0.0614, decode.acc_seg: 97.5314, loss: 0.0614 +2023-03-04 01:48:49,482 - mmseg - INFO - Iter [12750/160000] lr: 1.500e-04, eta: 7:05:00, time: 0.175, data_time: 0.008, memory: 19921, decode.loss_ce: 0.0522, decode.acc_seg: 97.8346, loss: 0.0522 +2023-03-04 01:48:58,100 - mmseg - INFO - Iter [12800/160000] lr: 1.500e-04, eta: 7:04:51, time: 0.172, data_time: 0.007, memory: 19921, decode.loss_ce: 0.0675, decode.acc_seg: 97.2705, loss: 0.0675 +2023-03-04 01:49:06,757 - mmseg - INFO - Iter [12850/160000] lr: 1.500e-04, eta: 7:04:43, time: 0.173, data_time: 0.007, memory: 19921, decode.loss_ce: 0.0639, decode.acc_seg: 97.4059, loss: 0.0639 +2023-03-04 01:49:15,634 - mmseg - INFO - Iter [12900/160000] lr: 1.500e-04, eta: 7:04:37, time: 0.178, data_time: 0.008, memory: 19921, decode.loss_ce: 0.0516, decode.acc_seg: 97.8545, loss: 0.0516 +2023-03-04 01:49:24,030 - mmseg - INFO - Iter [12950/160000] lr: 1.500e-04, eta: 7:04:25, time: 0.168, data_time: 0.008, memory: 19921, decode.loss_ce: 0.0613, decode.acc_seg: 97.4999, loss: 0.0613 +2023-03-04 01:49:32,363 - mmseg - INFO - Exp name: ablation_segformer_mit_b2_segformer_head_unet_fc_small_multi_step_ade_pretrained_freeze_embed_160k_ade20k151_finetune_ema_wgt.py +2023-03-04 01:49:32,363 - mmseg - INFO - Iter [13000/160000] lr: 1.500e-04, eta: 7:04:12, time: 0.167, data_time: 0.008, memory: 19921, decode.loss_ce: 0.0553, decode.acc_seg: 97.7400, loss: 0.0553 +2023-03-04 01:49:41,037 - mmseg - INFO - Iter [13050/160000] lr: 1.500e-04, eta: 7:04:04, time: 0.173, data_time: 0.007, memory: 19921, decode.loss_ce: 0.0551, decode.acc_seg: 97.7269, loss: 0.0551 +2023-03-04 01:49:49,515 - mmseg - INFO - Iter [13100/160000] lr: 1.500e-04, eta: 7:03:53, time: 0.170, data_time: 0.008, memory: 19921, decode.loss_ce: 0.0666, decode.acc_seg: 97.3524, loss: 0.0666 +2023-03-04 01:49:57,941 - mmseg - INFO - Iter [13150/160000] lr: 1.500e-04, eta: 7:03:42, time: 0.169, data_time: 0.007, memory: 19921, decode.loss_ce: 0.0604, decode.acc_seg: 97.5185, loss: 0.0604 +2023-03-04 01:50:06,412 - mmseg - INFO - Iter [13200/160000] lr: 1.500e-04, eta: 7:03:31, time: 0.169, data_time: 0.008, memory: 19921, decode.loss_ce: 0.0654, decode.acc_seg: 97.3370, loss: 0.0654 +2023-03-04 01:50:14,861 - mmseg - INFO - Iter [13250/160000] lr: 1.500e-04, eta: 7:03:20, time: 0.169, data_time: 0.007, memory: 19921, decode.loss_ce: 0.0640, decode.acc_seg: 97.4236, loss: 0.0640 +2023-03-04 01:50:25,422 - mmseg - INFO - Iter [13300/160000] lr: 1.500e-04, eta: 7:03:33, time: 0.211, data_time: 0.054, memory: 19921, decode.loss_ce: 0.0504, decode.acc_seg: 97.8951, loss: 0.0504 +2023-03-04 01:50:34,063 - mmseg - INFO - Iter [13350/160000] lr: 1.500e-04, eta: 7:03:24, time: 0.173, data_time: 0.007, memory: 19921, decode.loss_ce: 0.0610, decode.acc_seg: 97.5075, loss: 0.0610 +2023-03-04 01:50:42,169 - mmseg - INFO - Iter [13400/160000] lr: 1.500e-04, eta: 7:03:09, time: 0.162, data_time: 0.007, memory: 19921, decode.loss_ce: 0.0622, decode.acc_seg: 97.4920, loss: 0.0622 +2023-03-04 01:50:50,179 - mmseg - INFO - Iter [13450/160000] lr: 1.500e-04, eta: 7:02:53, time: 0.160, data_time: 0.007, memory: 19921, decode.loss_ce: 0.0590, decode.acc_seg: 97.6084, loss: 0.0590 +2023-03-04 01:50:58,454 - mmseg - INFO - Iter [13500/160000] lr: 1.500e-04, eta: 7:02:41, time: 0.166, data_time: 0.007, memory: 19921, decode.loss_ce: 0.0564, decode.acc_seg: 97.6906, loss: 0.0564 +2023-03-04 01:51:07,188 - mmseg - INFO - Iter [13550/160000] lr: 1.500e-04, eta: 7:02:33, time: 0.175, data_time: 0.007, memory: 19921, decode.loss_ce: 0.0581, decode.acc_seg: 97.6266, loss: 0.0581 +2023-03-04 01:51:15,381 - mmseg - INFO - Iter [13600/160000] lr: 1.500e-04, eta: 7:02:19, time: 0.164, data_time: 0.008, memory: 19921, decode.loss_ce: 0.0579, decode.acc_seg: 97.6381, loss: 0.0579 +2023-03-04 01:51:23,852 - mmseg - INFO - Iter [13650/160000] lr: 1.500e-04, eta: 7:02:09, time: 0.169, data_time: 0.007, memory: 19921, decode.loss_ce: 0.0518, decode.acc_seg: 97.8255, loss: 0.0518 +2023-03-04 01:51:32,271 - mmseg - INFO - Iter [13700/160000] lr: 1.500e-04, eta: 7:01:57, time: 0.168, data_time: 0.008, memory: 19921, decode.loss_ce: 0.0645, decode.acc_seg: 97.4261, loss: 0.0645 +2023-03-04 01:51:40,805 - mmseg - INFO - Iter [13750/160000] lr: 1.500e-04, eta: 7:01:47, time: 0.171, data_time: 0.008, memory: 19921, decode.loss_ce: 0.0592, decode.acc_seg: 97.5891, loss: 0.0592 +2023-03-04 01:51:48,983 - mmseg - INFO - Iter [13800/160000] lr: 1.500e-04, eta: 7:01:34, time: 0.163, data_time: 0.008, memory: 19921, decode.loss_ce: 0.0586, decode.acc_seg: 97.5626, loss: 0.0586 +2023-03-04 01:51:57,053 - mmseg - INFO - Iter [13850/160000] lr: 1.500e-04, eta: 7:01:19, time: 0.162, data_time: 0.008, memory: 19921, decode.loss_ce: 0.0566, decode.acc_seg: 97.6820, loss: 0.0566 +2023-03-04 01:52:07,797 - mmseg - INFO - Iter [13900/160000] lr: 1.500e-04, eta: 7:01:32, time: 0.215, data_time: 0.056, memory: 19921, decode.loss_ce: 0.0590, decode.acc_seg: 97.5773, loss: 0.0590 +2023-03-04 01:52:16,352 - mmseg - INFO - Iter [13950/160000] lr: 1.500e-04, eta: 7:01:23, time: 0.171, data_time: 0.009, memory: 19921, decode.loss_ce: 0.0584, decode.acc_seg: 97.6109, loss: 0.0584 +2023-03-04 01:52:24,553 - mmseg - INFO - Exp name: ablation_segformer_mit_b2_segformer_head_unet_fc_small_multi_step_ade_pretrained_freeze_embed_160k_ade20k151_finetune_ema_wgt.py +2023-03-04 01:52:24,554 - mmseg - INFO - Iter [14000/160000] lr: 1.500e-04, eta: 7:01:09, time: 0.164, data_time: 0.007, memory: 19921, decode.loss_ce: 0.0598, decode.acc_seg: 97.5557, loss: 0.0598 +2023-03-04 01:52:33,090 - mmseg - INFO - Iter [14050/160000] lr: 1.500e-04, eta: 7:00:59, time: 0.171, data_time: 0.007, memory: 19921, decode.loss_ce: 0.0588, decode.acc_seg: 97.5863, loss: 0.0588 +2023-03-04 01:52:41,736 - mmseg - INFO - Iter [14100/160000] lr: 1.500e-04, eta: 7:00:51, time: 0.173, data_time: 0.007, memory: 19921, decode.loss_ce: 0.0688, decode.acc_seg: 97.2197, loss: 0.0688 +2023-03-04 01:52:50,544 - mmseg - INFO - Iter [14150/160000] lr: 1.500e-04, eta: 7:00:44, time: 0.176, data_time: 0.008, memory: 19921, decode.loss_ce: 0.0610, decode.acc_seg: 97.5640, loss: 0.0610 +2023-03-04 01:52:58,974 - mmseg - INFO - Iter [14200/160000] lr: 1.500e-04, eta: 7:00:32, time: 0.168, data_time: 0.008, memory: 19921, decode.loss_ce: 0.0621, decode.acc_seg: 97.4808, loss: 0.0621 +2023-03-04 01:53:07,087 - mmseg - INFO - Iter [14250/160000] lr: 1.500e-04, eta: 7:00:18, time: 0.163, data_time: 0.008, memory: 19921, decode.loss_ce: 0.0644, decode.acc_seg: 97.4083, loss: 0.0644 +2023-03-04 01:53:15,530 - mmseg - INFO - Iter [14300/160000] lr: 1.500e-04, eta: 7:00:08, time: 0.169, data_time: 0.008, memory: 19921, decode.loss_ce: 0.0617, decode.acc_seg: 97.5454, loss: 0.0617 +2023-03-04 01:53:23,851 - mmseg - INFO - Iter [14350/160000] lr: 1.500e-04, eta: 6:59:56, time: 0.166, data_time: 0.007, memory: 19921, decode.loss_ce: 0.0558, decode.acc_seg: 97.7029, loss: 0.0558 +2023-03-04 01:53:32,038 - mmseg - INFO - Iter [14400/160000] lr: 1.500e-04, eta: 6:59:42, time: 0.164, data_time: 0.008, memory: 19921, decode.loss_ce: 0.0602, decode.acc_seg: 97.5522, loss: 0.0602 +2023-03-04 01:53:40,107 - mmseg - INFO - Iter [14450/160000] lr: 1.500e-04, eta: 6:59:28, time: 0.161, data_time: 0.007, memory: 19921, decode.loss_ce: 0.0624, decode.acc_seg: 97.4631, loss: 0.0624 +2023-03-04 01:53:48,642 - mmseg - INFO - Iter [14500/160000] lr: 1.500e-04, eta: 6:59:18, time: 0.171, data_time: 0.008, memory: 19921, decode.loss_ce: 0.0601, decode.acc_seg: 97.5357, loss: 0.0601 +2023-03-04 01:53:59,326 - mmseg - INFO - Iter [14550/160000] lr: 1.500e-04, eta: 6:59:30, time: 0.213, data_time: 0.056, memory: 19921, decode.loss_ce: 0.0644, decode.acc_seg: 97.4325, loss: 0.0644 +2023-03-04 01:54:07,709 - mmseg - INFO - Iter [14600/160000] lr: 1.500e-04, eta: 6:59:19, time: 0.168, data_time: 0.008, memory: 19921, decode.loss_ce: 0.0561, decode.acc_seg: 97.6692, loss: 0.0561 +2023-03-04 01:54:15,922 - mmseg - INFO - Iter [14650/160000] lr: 1.500e-04, eta: 6:59:05, time: 0.164, data_time: 0.007, memory: 19921, decode.loss_ce: 0.0631, decode.acc_seg: 97.4452, loss: 0.0631 +2023-03-04 01:54:24,070 - mmseg - INFO - Iter [14700/160000] lr: 1.500e-04, eta: 6:58:52, time: 0.163, data_time: 0.007, memory: 19921, decode.loss_ce: 0.0635, decode.acc_seg: 97.3732, loss: 0.0635 +2023-03-04 01:54:32,215 - mmseg - INFO - Iter [14750/160000] lr: 1.500e-04, eta: 6:58:38, time: 0.163, data_time: 0.007, memory: 19921, decode.loss_ce: 0.0620, decode.acc_seg: 97.4517, loss: 0.0620 +2023-03-04 01:54:40,644 - mmseg - INFO - Iter [14800/160000] lr: 1.500e-04, eta: 6:58:27, time: 0.169, data_time: 0.007, memory: 19921, decode.loss_ce: 0.0575, decode.acc_seg: 97.6655, loss: 0.0575 +2023-03-04 01:54:49,022 - mmseg - INFO - Iter [14850/160000] lr: 1.500e-04, eta: 6:58:16, time: 0.168, data_time: 0.008, memory: 19921, decode.loss_ce: 0.0642, decode.acc_seg: 97.4247, loss: 0.0642 +2023-03-04 01:54:57,519 - mmseg - INFO - Iter [14900/160000] lr: 1.500e-04, eta: 6:58:06, time: 0.170, data_time: 0.008, memory: 19921, decode.loss_ce: 0.0597, decode.acc_seg: 97.5767, loss: 0.0597 +2023-03-04 01:55:05,734 - mmseg - INFO - Iter [14950/160000] lr: 1.500e-04, eta: 6:57:53, time: 0.164, data_time: 0.007, memory: 19921, decode.loss_ce: 0.0527, decode.acc_seg: 97.8336, loss: 0.0527 +2023-03-04 01:55:13,954 - mmseg - INFO - Exp name: ablation_segformer_mit_b2_segformer_head_unet_fc_small_multi_step_ade_pretrained_freeze_embed_160k_ade20k151_finetune_ema_wgt.py +2023-03-04 01:55:13,955 - mmseg - INFO - Iter [15000/160000] lr: 1.500e-04, eta: 6:57:41, time: 0.165, data_time: 0.008, memory: 19921, decode.loss_ce: 0.0622, decode.acc_seg: 97.4747, loss: 0.0622 +2023-03-04 01:55:22,582 - mmseg - INFO - Iter [15050/160000] lr: 1.500e-04, eta: 6:57:32, time: 0.173, data_time: 0.007, memory: 19921, decode.loss_ce: 0.0621, decode.acc_seg: 97.4274, loss: 0.0621 +2023-03-04 01:55:30,895 - mmseg - INFO - Iter [15100/160000] lr: 1.500e-04, eta: 6:57:20, time: 0.166, data_time: 0.008, memory: 19921, decode.loss_ce: 0.0639, decode.acc_seg: 97.4427, loss: 0.0639 +2023-03-04 01:55:41,975 - mmseg - INFO - Iter [15150/160000] lr: 1.500e-04, eta: 6:57:35, time: 0.221, data_time: 0.055, memory: 19921, decode.loss_ce: 0.0575, decode.acc_seg: 97.6235, loss: 0.0575 +2023-03-04 01:55:50,316 - mmseg - INFO - Iter [15200/160000] lr: 1.500e-04, eta: 6:57:23, time: 0.167, data_time: 0.008, memory: 19921, decode.loss_ce: 0.0544, decode.acc_seg: 97.7708, loss: 0.0544 +2023-03-04 01:55:59,029 - mmseg - INFO - Iter [15250/160000] lr: 1.500e-04, eta: 6:57:15, time: 0.174, data_time: 0.007, memory: 19921, decode.loss_ce: 0.0571, decode.acc_seg: 97.6419, loss: 0.0571 +2023-03-04 01:56:07,141 - mmseg - INFO - Iter [15300/160000] lr: 1.500e-04, eta: 6:57:01, time: 0.162, data_time: 0.008, memory: 19921, decode.loss_ce: 0.0654, decode.acc_seg: 97.3738, loss: 0.0654 +2023-03-04 01:56:15,301 - mmseg - INFO - Iter [15350/160000] lr: 1.500e-04, eta: 6:56:48, time: 0.163, data_time: 0.008, memory: 19921, decode.loss_ce: 0.0579, decode.acc_seg: 97.6140, loss: 0.0579 +2023-03-04 01:56:23,460 - mmseg - INFO - Iter [15400/160000] lr: 1.500e-04, eta: 6:56:35, time: 0.163, data_time: 0.007, memory: 19921, decode.loss_ce: 0.0570, decode.acc_seg: 97.6476, loss: 0.0570 +2023-03-04 01:56:31,777 - mmseg - INFO - Iter [15450/160000] lr: 1.500e-04, eta: 6:56:23, time: 0.166, data_time: 0.007, memory: 19921, decode.loss_ce: 0.0614, decode.acc_seg: 97.4878, loss: 0.0614 +2023-03-04 01:56:40,200 - mmseg - INFO - Iter [15500/160000] lr: 1.500e-04, eta: 6:56:13, time: 0.168, data_time: 0.007, memory: 19921, decode.loss_ce: 0.0557, decode.acc_seg: 97.6951, loss: 0.0557 +2023-03-04 01:56:48,563 - mmseg - INFO - Iter [15550/160000] lr: 1.500e-04, eta: 6:56:01, time: 0.167, data_time: 0.007, memory: 19921, decode.loss_ce: 0.0600, decode.acc_seg: 97.5479, loss: 0.0600 +2023-03-04 01:56:57,341 - mmseg - INFO - Iter [15600/160000] lr: 1.500e-04, eta: 6:55:54, time: 0.176, data_time: 0.009, memory: 19921, decode.loss_ce: 0.0562, decode.acc_seg: 97.6483, loss: 0.0562 +2023-03-04 01:57:05,690 - mmseg - INFO - Iter [15650/160000] lr: 1.500e-04, eta: 6:55:43, time: 0.167, data_time: 0.008, memory: 19921, decode.loss_ce: 0.0584, decode.acc_seg: 97.6018, loss: 0.0584 +2023-03-04 01:57:13,765 - mmseg - INFO - Iter [15700/160000] lr: 1.500e-04, eta: 6:55:29, time: 0.161, data_time: 0.008, memory: 19921, decode.loss_ce: 0.0570, decode.acc_seg: 97.6917, loss: 0.0570 +2023-03-04 01:57:22,458 - mmseg - INFO - Iter [15750/160000] lr: 1.500e-04, eta: 6:55:21, time: 0.174, data_time: 0.007, memory: 19921, decode.loss_ce: 0.0563, decode.acc_seg: 97.6908, loss: 0.0563 +2023-03-04 01:57:33,649 - mmseg - INFO - Iter [15800/160000] lr: 1.500e-04, eta: 6:55:35, time: 0.224, data_time: 0.057, memory: 19921, decode.loss_ce: 0.0566, decode.acc_seg: 97.6965, loss: 0.0566 +2023-03-04 01:57:41,799 - mmseg - INFO - Iter [15850/160000] lr: 1.500e-04, eta: 6:55:22, time: 0.163, data_time: 0.008, memory: 19921, decode.loss_ce: 0.0620, decode.acc_seg: 97.4688, loss: 0.0620 +2023-03-04 01:57:50,021 - mmseg - INFO - Iter [15900/160000] lr: 1.500e-04, eta: 6:55:10, time: 0.164, data_time: 0.007, memory: 19921, decode.loss_ce: 0.0557, decode.acc_seg: 97.7119, loss: 0.0557 +2023-03-04 01:57:58,110 - mmseg - INFO - Iter [15950/160000] lr: 1.500e-04, eta: 6:54:56, time: 0.162, data_time: 0.008, memory: 19921, decode.loss_ce: 0.0632, decode.acc_seg: 97.4220, loss: 0.0632 +2023-03-04 01:58:06,449 - mmseg - INFO - Swap parameters (after train) after iter [16000] +2023-03-04 01:58:06,462 - mmseg - INFO - Saving checkpoint at 16000 iterations +2023-03-04 01:58:07,538 - mmseg - INFO - Exp name: ablation_segformer_mit_b2_segformer_head_unet_fc_small_multi_step_ade_pretrained_freeze_embed_160k_ade20k151_finetune_ema_wgt.py +2023-03-04 01:58:07,539 - mmseg - INFO - Iter [16000/160000] lr: 1.500e-04, eta: 6:54:54, time: 0.188, data_time: 0.007, memory: 19921, decode.loss_ce: 0.0607, decode.acc_seg: 97.5141, loss: 0.0607 +2023-03-04 02:11:46,945 - mmseg - INFO - per class results: +2023-03-04 02:11:46,954 - mmseg - INFO - ++---------------------+-------------------------------------------------------------------+ +| Class | IoU 0,10,20,30,40,50,60,70,80,90,99 | ++---------------------+-------------------------------------------------------------------+ +| background | nan,nan,nan,nan,nan,nan,nan,nan,nan,nan,nan | +| wall | 76.46,76.15,75.34,73.67,71.02,68.02,65.21,62.87,61.06,59.74,58.93 | +| building | 80.98,80.87,80.57,79.9,78.5,76.43,74.09,71.92,70.26,69.17,68.63 | +| sky | 94.31,94.12,93.89,93.37,92.31,90.59,88.62,86.61,84.91,83.64,82.89 | +| floor | 80.84,80.78,80.17,78.65,76.19,73.13,70.01,67.3,65.16,63.55,62.59 | +| tree | 73.41,72.7,72.06,70.27,66.93,62.49,57.94,54.12,51.18,49.0,47.71 | +| ceiling | 84.09,84.1,83.44,81.58,78.37,74.64,71.04,68.01,65.5,63.58,62.32 | +| road | 81.28,81.22,80.48,79.01,77.08,74.91,72.98,71.23,69.78,68.69,68.05 | +| bed | 86.33,86.92,86.61,85.6,83.55,80.66,77.31,74.12,71.49,69.4,68.15 | +| windowpane | 59.31,59.64,58.96,57.39,54.86,52.04,49.66,47.44,45.71,44.31,43.51 | +| grass | 66.15,65.95,65.41,64.2,62.51,60.35,58.52,56.91,55.66,54.87,54.44 | +| cabinet | 58.9,59.25,58.47,57.58,56.3,54.68,52.89,51.36,50.13,49.16,48.55 | +| sidewalk | 62.17,62.02,60.45,57.36,53.65,49.92,46.96,44.68,43.02,41.88,41.31 | +| person | 77.55,78.16,77.51,75.96,73.13,69.06,64.52,60.34,56.81,53.98,52.35 | +| earth | 35.12,34.97,34.97,34.69,34.24,33.57,32.94,32.36,31.83,31.42,31.12 | +| door | 44.56,44.68,43.94,41.83,39.03,36.51,34.32,32.4,31.02,30.18,29.75 | +| table | 57.49,58.2,58.01,55.9,52.78,48.73,44.65,40.98,38.08,35.87,34.57 | +| mountain | 56.6,56.45,56.46,56.16,55.44,54.29,53.02,51.79,50.7,49.83,49.25 | +| plant | 49.61,49.44,48.66,47.27,45.13,42.48,39.93,37.7,35.99,34.74,34.09 | +| curtain | 72.52,73.61,72.61,70.03,66.22,61.93,57.57,53.77,50.92,48.87,47.58 | +| chair | 53.47,53.8,53.49,51.91,49.39,46.07,42.26,38.7,35.47,33.06,31.73 | +| car | 80.38,80.64,80.24,79.32,77.24,74.13,70.24,66.25,62.9,60.34,59.01 | +| water | 57.0,56.78,56.93,56.59,56.04,55.22,54.48,53.76,53.09,52.48,52.03 | +| painting | 69.6,70.12,69.26,68.25,66.49,64.91,63.58,62.24,60.91,59.86,59.16 | +| sofa | 61.64,63.27,63.27,62.81,61.76,60.19,58.16,55.73,53.4,51.27,49.82 | +| shelf | 43.17,43.02,42.15,40.84,38.9,36.57,34.28,32.47,30.89,29.75,29.19 | +| house | 40.01,37.89,37.78,37.85,37.68,37.37,37.09,36.8,36.6,36.54,36.41 | +| sea | 59.46,59.66,59.92,59.86,59.5,58.99,58.43,57.64,56.85,56.1,55.68 | +| mirror | 62.81,64.13,63.85,63.05,61.47,59.48,57.27,54.76,52.57,50.58,49.06 | +| rug | 63.17,64.8,64.57,62.74,60.59,57.83,54.15,50.62,47.54,45.08,43.32 | +| field | 30.97,31.1,31.24,31.1,30.88,30.6,30.19,29.93,29.73,29.64,29.58 | +| armchair | 35.34,36.37,35.85,35.51,34.4,32.87,31.09,29.22,27.42,26.06,25.2 | +| seat | 64.99,65.96,66.06,64.98,63.3,61.55,59.61,57.68,56.05,54.63,53.62 | +| fence | 38.53,39.29,39.25,37.84,35.82,33.63,31.69,30.31,29.07,28.49,28.36 | +| desk | 44.22,45.09,45.07,43.92,42.41,40.61,38.56,36.71,35.24,34.31,33.59 | +| rock | 36.44,36.54,35.84,34.88,33.51,32.0,30.54,29.31,28.31,27.74,27.28 | +| wardrobe | 55.04,55.38,54.95,54.03,52.44,51.04,49.92,48.78,47.69,46.66,46.0 | +| lamp | 58.42,58.48,58.11,57.0,55.64,52.98,49.52,45.93,42.76,40.14,38.48 | +| bathtub | 72.01,72.03,71.83,70.85,68.77,66.35,64.2,62.3,60.84,59.5,58.3 | +| railing | 31.86,33.68,33.53,32.8,31.25,29.1,26.88,25.14,23.38,22.19,21.67 | +| cushion | 52.69,52.62,51.36,50.95,50.05,48.5,45.67,41.73,37.32,33.31,30.37 | +| base | 19.08,18.72,17.84,16.85,15.93,15.34,14.97,14.62,14.25,14.14,14.1 | +| box | 20.45,20.84,20.9,20.88,20.25,19.24,18.14,16.99,15.96,15.24,14.68 | +| column | 43.44,42.84,42.35,40.46,37.76,34.08,30.42,26.94,24.29,22.94,22.19 | +| signboard | 35.0,36.02,35.56,34.78,33.07,31.09,28.36,25.89,23.71,21.85,20.85 | +| chest of drawers | 35.81,36.8,36.39,36.52,36.35,35.98,35.43,34.9,34.34,33.83,33.46 | +| counter | 29.48,32.18,33.35,33.37,32.85,31.35,29.87,28.07,26.43,25.24,24.37 | +| sand | 37.41,39.33,39.83,39.71,39.6,39.37,39.16,38.98,38.71,38.44,38.25 | +| sink | 65.31,66.0,65.67,64.46,62.07,59.12,55.53,52.62,49.74,47.28,45.59 | +| skyscraper | 50.8,52.13,52.01,51.33,50.85,49.9,49.2,48.51,47.52,46.4,45.26 | +| fireplace | 72.53,74.52,75.27,75.24,73.69,71.95,69.45,67.34,65.82,64.25,63.26 | +| refrigerator | 72.76,73.38,73.2,71.92,69.67,67.77,65.64,63.66,62.03,60.67,60.01 | +| grandstand | 44.78,47.56,48.53,49.78,49.53,49.14,48.78,48.3,48.08,47.78,47.63 | +| path | 20.03,22.1,21.37,21.11,20.26,19.36,18.43,17.36,16.39,15.73,15.4 | +| stairs | 30.78,31.65,31.09,31.0,30.06,28.77,27.02,25.68,24.67,23.92,23.5 | +| runway | 65.07,65.45,65.24,64.48,63.58,63.07,62.62,62.04,61.39,60.69,60.08 | +| case | 45.41,45.12,44.98,44.96,44.59,44.33,43.52,43.04,42.79,42.66,42.34 | +| pool table | 90.74,91.09,89.97,89.04,86.9,83.97,81.11,77.78,74.61,71.68,69.87 | +| pillow | 53.28,54.97,53.91,52.88,50.83,47.58,42.78,37.56,32.03,27.23,24.15 | +| screen door | 69.53,70.11,68.52,65.97,62.96,60.49,57.6,55.06,53.58,52.63,52.15 | +| stairway | 23.14,22.32,22.56,22.42,22.06,21.05,19.86,18.57,17.19,16.3,15.85 | +| river | 11.28,11.35,11.4,11.36,11.35,11.29,11.18,11.07,11.0,10.9,10.87 | +| bridge | 32.73,36.15,37.17,36.51,35.24,33.64,31.68,29.74,28.16,27.07,26.26 | +| bookcase | 46.11,46.22,45.36,43.59,40.92,37.58,34.51,32.41,31.14,30.53,30.24 | +| blind | 34.84,35.02,34.74,34.76,34.6,34.58,34.33,34.0,33.77,33.46,33.2 | +| coffee table | 52.17,54.81,55.06,54.76,53.65,52.1,49.36,46.68,43.83,41.31,39.84 | +| toilet | 81.34,81.51,82.23,81.56,80.34,77.66,74.56,71.72,69.03,66.7,65.11 | +| flower | 37.24,37.58,37.99,37.07,34.71,31.29,28.02,24.62,22.2,20.71,19.85 | +| book | 41.28,42.32,42.63,40.58,39.25,36.83,35.08,33.47,31.84,30.51,29.98 | +| hill | 12.64,14.21,13.83,14.15,14.0,13.61,13.13,12.29,11.63,11.04,10.56 | +| bench | 40.19,40.53,40.59,39.83,38.41,37.23,35.98,34.89,33.92,33.23,32.77 | +| countertop | 52.13,51.82,53.01,52.81,51.46,48.85,45.89,43.16,40.41,37.88,36.22 | +| stove | 69.24,71.55,71.41,70.11,68.13,65.05,62.88,61.45,59.79,58.35,57.36 | +| palm | 48.29,49.15,49.09,48.02,46.89,44.68,41.22,38.18,35.34,33.07,31.57 | +| kitchen island | 33.12,36.71,36.39,36.79,36.7,35.69,34.71,32.86,31.31,30.35,29.7 | +| computer | 57.27,57.42,57.02,55.87,54.51,53.02,51.19,49.47,48.12,46.83,45.95 | +| swivel chair | 43.74,45.58,46.72,46.33,45.26,43.99,42.18,40.25,38.15,36.07,34.6 | +| boat | 68.49,70.67,73.14,73.07,71.5,69.16,65.83,62.78,60.55,58.31,56.65 | +| bar | 21.67,22.16,22.42,22.54,22.22,21.56,20.84,20.19,19.68,19.29,19.21 | +| arcade machine | 66.23,61.92,59.51,57.09,53.06,49.61,46.09,42.82,40.25,38.3,36.99 | +| hovel | 26.52,24.53,25.4,26.17,26.71,27.21,27.49,27.61,28.07,27.96,27.74 | +| bus | 75.62,75.25,77.36,76.65,74.95,72.95,71.45,70.45,69.29,68.67,68.44 | +| towel | 59.24,59.24,59.22,56.74,54.04,50.68,47.35,44.08,40.97,38.23,36.02 | +| light | 43.9,47.23,50.86,50.03,48.66,46.89,45.08,42.56,39.74,37.41,36.02 | +| truck | 17.53,18.41,17.98,16.4,15.62,15.19,15.07,14.89,14.23,13.39,12.65 | +| tower | 6.88,7.89,7.71,7.07,6.89,6.74,6.55,6.75,7.04,7.21,7.04 | +| chandelier | 61.71,61.57,61.61,61.74,61.3,59.6,57.0,53.77,49.96,46.18,43.53 | +| awning | 18.05,21.37,21.01,20.51,19.71,17.95,15.74,12.98,11.2,9.3,8.08 | +| streetlight | 20.27,21.82,23.43,23.58,22.91,21.39,19.49,17.49,15.67,14.49,13.69 | +| booth | 38.35,36.86,37.91,37.46,36.95,36.04,35.27,34.24,33.32,32.32,31.59 | +| television receiver | 63.92,62.86,62.32,61.69,59.72,58.1,55.9,53.56,51.33,48.97,47.52 | +| airplane | 53.32,53.87,53.43,52.2,49.91,47.31,44.3,41.12,38.37,36.3,34.94 | +| dirt track | 11.65,11.41,11.7,10.29,9.25,8.83,8.33,8.27,8.09,8.08,8.12 | +| apparel | 31.54,34.62,32.4,32.58,32.57,31.47,29.16,27.63,26.04,24.72,23.53 | +| pole | 11.89,13.65,14.49,13.78,13.46,13.04,12.98,12.73,12.29,11.43,10.81 | +| land | 2.41,4.41,4.67,4.91,5.13,5.39,5.58,5.6,5.56,5.56,5.57 | +| bannister | 9.22,11.14,12.52,11.49,10.86,9.62,8.76,7.41,6.29,5.58,5.17 | +| escalator | 20.09,21.2,21.9,21.64,21.53,21.1,20.83,20.55,20.22,20.07,19.9 | +| ottoman | 39.46,37.94,38.02,37.98,37.15,36.33,34.77,32.63,30.62,28.2,26.39 | +| bottle | 30.59,29.69,30.9,30.83,30.38,30.19,29.04,27.75,26.13,24.95,24.07 | +| buffet | 32.36,38.36,39.8,40.28,40.16,39.18,38.49,37.89,37.15,36.59,36.17 | +| poster | 22.03,23.84,23.97,23.75,23.1,22.69,22.4,21.96,21.69,21.3,21.14 | +| stage | 15.8,17.59,18.23,18.14,17.68,16.91,16.14,15.75,15.36,15.02,14.7 | +| van | 38.66,38.82,39.15,38.27,36.6,35.41,33.57,32.12,30.76,30.04,29.61 | +| ship | 79.65,81.8,82.29,82.58,83.03,83.04,82.9,82.77,82.64,82.1,81.85 | +| fountain | 10.24,5.36,5.93,5.77,5.03,4.51,4.0,3.24,2.43,1.85,1.21 | +| conveyer belt | 80.01,82.28,81.62,80.23,79.06,76.8,74.91,73.07,71.8,70.79,70.14 | +| canopy | 18.6,22.07,23.07,22.77,21.4,19.65,17.42,15.64,15.16,14.91,14.54 | +| washer | 75.04,73.27,71.97,70.85,69.36,68.58,69.21,69.25,69.45,69.43,69.42 | +| plaything | 20.01,18.36,19.7,19.28,18.24,17.26,15.93,14.94,13.56,12.11,11.29 | +| swimming pool | 70.95,73.7,74.06,73.26,72.99,72.36,72.8,73.02,73.32,72.88,71.26 | +| stool | 37.22,39.57,41.6,39.81,37.52,32.83,28.07,25.22,22.71,20.49,19.43 | +| barrel | 41.78,43.55,53.19,40.73,36.68,26.36,23.02,21.66,21.63,20.35,19.01 | +| basket | 22.79,22.76,22.96,22.75,22.12,20.68,19.15,17.55,16.15,14.73,13.9 | +| waterfall | 51.4,51.04,49.66,48.47,47.18,46.11,45.22,44.73,43.87,43.15,42.67 | +| tent | 94.67,95.1,93.58,93.01,91.81,90.07,87.99,85.98,84.21,82.58,80.93 | +| bag | 9.65,12.36,13.2,12.79,11.94,11.54,10.81,10.05,9.28,8.78,8.17 | +| minibike | 57.54,60.96,62.01,60.21,57.63,53.26,48.51,44.23,40.12,37.2,35.23 | +| cradle | 81.3,83.97,85.36,82.9,78.99,74.58,69.18,65.71,63.03,61.14,60.0 | +| oven | 40.0,39.63,41.59,42.11,41.39,40.93,40.31,39.01,38.26,36.71,35.76 | +| ball | 42.41,44.39,45.88,43.35,39.52,36.5,33.99,32.62,31.93,31.12,30.31 | +| food | 44.29,51.62,51.58,50.08,47.44,44.74,42.27,40.16,38.59,37.53,36.98 | +| step | 6.74,6.52,6.22,6.03,5.02,3.67,2.42,0.98,0.64,0.62,0.48 | +| tank | 49.6,49.6,48.78,47.27,45.25,43.35,41.59,40.41,39.56,38.98,38.53 | +| trade name | 18.34,28.09,29.02,28.42,26.88,25.07,22.63,20.06,16.77,13.97,12.27 | +| microwave | 70.38,72.15,72.71,72.1,70.82,69.27,67.8,65.93,64.77,63.67,62.86 | +| pot | 29.06,28.16,28.21,27.27,26.02,24.26,22.13,20.38,18.87,17.33,16.35 | +| animal | 49.27,49.08,49.7,50.22,49.87,48.52,46.63,45.04,43.43,41.98,41.18 | +| bicycle | 45.98,46.09,46.68,45.68,43.98,40.08,36.69,33.1,30.78,28.49,27.94 | +| lake | 56.59,56.6,56.74,56.72,56.69,56.5,56.16,55.55,55.08,54.72,54.56 | +| dishwasher | 62.28,66.03,65.68,64.98,63.13,60.5,58.28,55.1,52.86,50.78,49.47 | +| screen | 67.58,66.2,67.68,68.54,68.02,67.21,66.27,64.9,63.62,62.46,61.44 | +| blanket | 14.42,15.84,16.6,15.97,15.37,14.39,13.31,12.19,11.53,10.95,10.61 | +| sculpture | 61.03,57.48,55.72,54.14,51.03,47.91,44.29,41.59,39.95,37.85,36.6 | +| hood | 51.85,58.11,59.55,59.88,58.07,55.86,52.82,50.38,47.83,44.76,43.18 | +| sconce | 32.37,37.1,38.37,37.3,35.26,33.34,30.62,26.76,23.4,20.89,19.56 | +| vase | 31.69,33.55,34.12,33.78,33.98,31.27,29.62,27.28,25.15,22.85,21.51 | +| traffic light | 25.02,29.24,31.19,31.11,30.0,28.81,26.65,22.8,20.25,17.83,16.27 | +| tray | 3.44,3.18,3.55,4.15,4.73,4.88,4.79,4.66,4.44,4.27,4.13 | +| ashcan | 34.37,36.96,35.93,33.91,32.25,30.51,27.95,25.94,23.83,22.7,22.3 | +| fan | 46.1,50.07,51.47,52.57,53.91,51.54,48.78,44.09,39.61,35.34,32.64 | +| pier | 40.23,48.83,52.23,51.58,52.03,47.47,44.46,41.07,39.03,37.1,35.69 | +| crt screen | 8.08,8.67,10.04,10.66,10.3,10.63,10.41,9.53,8.82,8.14,7.66 | +| plate | 41.47,44.99,47.14,46.27,44.68,42.32,39.62,36.29,33.21,30.91,28.94 | +| monitor | 17.85,11.18,11.24,13.21,13.93,14.02,13.72,13.21,12.68,12.36,12.47 | +| bulletin board | 36.29,40.36,40.53,38.48,35.04,31.57,29.28,26.45,23.6,21.08,19.22 | +| shower | 0.98,1.01,1.38,1.08,1.06,1.14,1.12,1.16,1.12,1.2,1.52 | +| radiator | 54.82,55.31,56.24,53.5,49.59,45.12,40.61,37.13,34.83,33.16,32.02 | +| glass | 8.23,10.16,11.45,12.0,11.62,10.99,10.04,9.36,8.67,7.86,7.39 | +| clock | 23.17,21.05,25.35,25.09,22.34,20.21,18.42,16.38,13.76,11.48,9.75 | +| flag | 35.16,31.17,29.53,30.65,29.73,28.38,26.43,24.43,22.62,21.39,20.59 | ++---------------------+-------------------------------------------------------------------+ +2023-03-04 02:11:46,954 - mmseg - INFO - Summary: +2023-03-04 02:11:46,954 - mmseg - INFO - ++------------------------------------------------------------------+ +| mIoU 0,10,20,30,40,50,60,70,80,90,99 | ++------------------------------------------------------------------+ +| 45.56,46.45,46.66,45.86,44.51,42.69,40.78,38.92,37.33,35.98,35.1 | ++------------------------------------------------------------------+ +2023-03-04 02:11:47,933 - mmseg - INFO - Now best checkpoint is saved as best_mIoU_iter_16000.pth. +2023-03-04 02:11:47,933 - mmseg - INFO - Best mIoU is 0.3510 at 16000 iter. +2023-03-04 02:11:47,933 - mmseg - INFO - Exp name: ablation_segformer_mit_b2_segformer_head_unet_fc_small_multi_step_ade_pretrained_freeze_embed_160k_ade20k151_finetune_ema_wgt.py +2023-03-04 02:11:47,933 - mmseg - INFO - Iter(val) [250] mIoU: [0.4556, 0.4645, 0.4666, 0.4586, 0.4451, 0.4269, 0.4078, 0.3892, 0.3733, 0.3598, 0.351], copy_paste: 45.56,46.45,46.66,45.86,44.51,42.69,40.78,38.92,37.33,35.98,35.1 +2023-03-04 02:11:47,940 - mmseg - INFO - Swap parameters (before train) before iter [16001] +2023-03-04 02:11:56,413 - mmseg - INFO - Iter [16050/160000] lr: 1.500e-04, eta: 8:57:22, time: 16.578, data_time: 16.417, memory: 52541, decode.loss_ce: 0.0597, decode.acc_seg: 97.5679, loss: 0.0597 +2023-03-04 02:12:04,914 - mmseg - INFO - Iter [16100/160000] lr: 1.500e-04, eta: 8:56:47, time: 0.170, data_time: 0.008, memory: 52541, decode.loss_ce: 0.0558, decode.acc_seg: 97.6895, loss: 0.0558 +2023-03-04 02:12:13,765 - mmseg - INFO - Iter [16150/160000] lr: 1.500e-04, eta: 8:56:15, time: 0.177, data_time: 0.008, memory: 52541, decode.loss_ce: 0.0588, decode.acc_seg: 97.5966, loss: 0.0588 +2023-03-04 02:12:22,232 - mmseg - INFO - Iter [16200/160000] lr: 1.500e-04, eta: 8:55:40, time: 0.169, data_time: 0.008, memory: 52541, decode.loss_ce: 0.0607, decode.acc_seg: 97.5176, loss: 0.0607 +2023-03-04 02:12:30,474 - mmseg - INFO - Iter [16250/160000] lr: 1.500e-04, eta: 8:55:03, time: 0.165, data_time: 0.008, memory: 52541, decode.loss_ce: 0.0593, decode.acc_seg: 97.6068, loss: 0.0593 +2023-03-04 02:12:38,662 - mmseg - INFO - Iter [16300/160000] lr: 1.500e-04, eta: 8:54:25, time: 0.164, data_time: 0.008, memory: 52541, decode.loss_ce: 0.0559, decode.acc_seg: 97.7089, loss: 0.0559 +2023-03-04 02:12:47,243 - mmseg - INFO - Iter [16350/160000] lr: 1.500e-04, eta: 8:53:51, time: 0.171, data_time: 0.007, memory: 52541, decode.loss_ce: 0.0598, decode.acc_seg: 97.5379, loss: 0.0598 +2023-03-04 02:12:56,284 - mmseg - INFO - Iter [16400/160000] lr: 1.500e-04, eta: 8:53:22, time: 0.181, data_time: 0.008, memory: 52541, decode.loss_ce: 0.0572, decode.acc_seg: 97.6324, loss: 0.0572 +2023-03-04 02:13:07,003 - mmseg - INFO - Iter [16450/160000] lr: 1.500e-04, eta: 8:53:07, time: 0.214, data_time: 0.054, memory: 52541, decode.loss_ce: 0.0601, decode.acc_seg: 97.5832, loss: 0.0601 +2023-03-04 02:13:15,332 - mmseg - INFO - Iter [16500/160000] lr: 1.500e-04, eta: 8:52:31, time: 0.167, data_time: 0.008, memory: 52541, decode.loss_ce: 0.0589, decode.acc_seg: 97.6035, loss: 0.0589 +2023-03-04 02:13:23,727 - mmseg - INFO - Iter [16550/160000] lr: 1.500e-04, eta: 8:51:56, time: 0.168, data_time: 0.008, memory: 52541, decode.loss_ce: 0.0567, decode.acc_seg: 97.6717, loss: 0.0567 +2023-03-04 02:13:31,999 - mmseg - INFO - Iter [16600/160000] lr: 1.500e-04, eta: 8:51:21, time: 0.165, data_time: 0.007, memory: 52541, decode.loss_ce: 0.0595, decode.acc_seg: 97.5747, loss: 0.0595 +2023-03-04 02:13:40,421 - mmseg - INFO - Iter [16650/160000] lr: 1.500e-04, eta: 8:50:46, time: 0.168, data_time: 0.008, memory: 52541, decode.loss_ce: 0.0584, decode.acc_seg: 97.6233, loss: 0.0584 +2023-03-04 02:13:48,691 - mmseg - INFO - Iter [16700/160000] lr: 1.500e-04, eta: 8:50:11, time: 0.165, data_time: 0.007, memory: 52541, decode.loss_ce: 0.0584, decode.acc_seg: 97.5632, loss: 0.0584 +2023-03-04 02:13:56,968 - mmseg - INFO - Iter [16750/160000] lr: 1.500e-04, eta: 8:49:36, time: 0.166, data_time: 0.008, memory: 52541, decode.loss_ce: 0.0557, decode.acc_seg: 97.7092, loss: 0.0557 +2023-03-04 02:14:05,049 - mmseg - INFO - Iter [16800/160000] lr: 1.500e-04, eta: 8:48:59, time: 0.162, data_time: 0.008, memory: 52541, decode.loss_ce: 0.0580, decode.acc_seg: 97.6899, loss: 0.0580 +2023-03-04 02:14:13,220 - mmseg - INFO - Iter [16850/160000] lr: 1.500e-04, eta: 8:48:23, time: 0.163, data_time: 0.008, memory: 52541, decode.loss_ce: 0.0584, decode.acc_seg: 97.5762, loss: 0.0584 +2023-03-04 02:14:21,821 - mmseg - INFO - Iter [16900/160000] lr: 1.500e-04, eta: 8:47:51, time: 0.172, data_time: 0.008, memory: 52541, decode.loss_ce: 0.0586, decode.acc_seg: 97.6655, loss: 0.0586 +2023-03-04 02:14:30,543 - mmseg - INFO - Iter [16950/160000] lr: 1.500e-04, eta: 8:47:20, time: 0.174, data_time: 0.007, memory: 52541, decode.loss_ce: 0.0584, decode.acc_seg: 97.6016, loss: 0.0584 +2023-03-04 02:14:38,744 - mmseg - INFO - Exp name: ablation_segformer_mit_b2_segformer_head_unet_fc_small_multi_step_ade_pretrained_freeze_embed_160k_ade20k151_finetune_ema_wgt.py +2023-03-04 02:14:38,744 - mmseg - INFO - Iter [17000/160000] lr: 1.500e-04, eta: 8:46:45, time: 0.164, data_time: 0.007, memory: 52541, decode.loss_ce: 0.0614, decode.acc_seg: 97.5083, loss: 0.0614 +2023-03-04 02:14:49,568 - mmseg - INFO - Iter [17050/160000] lr: 1.500e-04, eta: 8:46:32, time: 0.217, data_time: 0.054, memory: 52541, decode.loss_ce: 0.0580, decode.acc_seg: 97.6290, loss: 0.0580 +2023-03-04 02:14:57,890 - mmseg - INFO - Iter [17100/160000] lr: 1.500e-04, eta: 8:45:58, time: 0.166, data_time: 0.007, memory: 52541, decode.loss_ce: 0.0561, decode.acc_seg: 97.6922, loss: 0.0561 +2023-03-04 02:15:06,203 - mmseg - INFO - Iter [17150/160000] lr: 1.500e-04, eta: 8:45:24, time: 0.166, data_time: 0.007, memory: 52541, decode.loss_ce: 0.0606, decode.acc_seg: 97.5381, loss: 0.0606 +2023-03-04 02:15:14,875 - mmseg - INFO - Iter [17200/160000] lr: 1.500e-04, eta: 8:44:54, time: 0.173, data_time: 0.007, memory: 52541, decode.loss_ce: 0.0570, decode.acc_seg: 97.6541, loss: 0.0570 +2023-03-04 02:15:23,125 - mmseg - INFO - Iter [17250/160000] lr: 1.500e-04, eta: 8:44:20, time: 0.165, data_time: 0.007, memory: 52541, decode.loss_ce: 0.0589, decode.acc_seg: 97.5680, loss: 0.0589 +2023-03-04 02:15:31,659 - mmseg - INFO - Iter [17300/160000] lr: 1.500e-04, eta: 8:43:48, time: 0.170, data_time: 0.007, memory: 52541, decode.loss_ce: 0.0603, decode.acc_seg: 97.5106, loss: 0.0603 +2023-03-04 02:15:39,835 - mmseg - INFO - Iter [17350/160000] lr: 1.500e-04, eta: 8:43:14, time: 0.163, data_time: 0.008, memory: 52541, decode.loss_ce: 0.0565, decode.acc_seg: 97.6835, loss: 0.0565 +2023-03-04 02:15:48,393 - mmseg - INFO - Iter [17400/160000] lr: 1.500e-04, eta: 8:42:43, time: 0.171, data_time: 0.008, memory: 52541, decode.loss_ce: 0.0554, decode.acc_seg: 97.7305, loss: 0.0554 +2023-03-04 02:15:56,946 - mmseg - INFO - Iter [17450/160000] lr: 1.500e-04, eta: 8:42:12, time: 0.171, data_time: 0.009, memory: 52541, decode.loss_ce: 0.0624, decode.acc_seg: 97.4877, loss: 0.0624 +2023-03-04 02:16:05,225 - mmseg - INFO - Iter [17500/160000] lr: 1.500e-04, eta: 8:41:39, time: 0.165, data_time: 0.007, memory: 52541, decode.loss_ce: 0.0559, decode.acc_seg: 97.6851, loss: 0.0559 +2023-03-04 02:16:13,615 - mmseg - INFO - Iter [17550/160000] lr: 1.500e-04, eta: 8:41:07, time: 0.168, data_time: 0.008, memory: 52541, decode.loss_ce: 0.0569, decode.acc_seg: 97.6917, loss: 0.0569 +2023-03-04 02:16:22,363 - mmseg - INFO - Iter [17600/160000] lr: 1.500e-04, eta: 8:40:38, time: 0.175, data_time: 0.007, memory: 52541, decode.loss_ce: 0.0563, decode.acc_seg: 97.6327, loss: 0.0563 +2023-03-04 02:16:30,632 - mmseg - INFO - Iter [17650/160000] lr: 1.500e-04, eta: 8:40:05, time: 0.166, data_time: 0.007, memory: 52541, decode.loss_ce: 0.0548, decode.acc_seg: 97.7073, loss: 0.0548 +2023-03-04 02:16:41,851 - mmseg - INFO - Iter [17700/160000] lr: 1.500e-04, eta: 8:39:56, time: 0.224, data_time: 0.052, memory: 52541, decode.loss_ce: 0.0578, decode.acc_seg: 97.6268, loss: 0.0578 +2023-03-04 02:16:50,186 - mmseg - INFO - Iter [17750/160000] lr: 1.500e-04, eta: 8:39:24, time: 0.166, data_time: 0.008, memory: 52541, decode.loss_ce: 0.0557, decode.acc_seg: 97.7192, loss: 0.0557 +2023-03-04 02:16:59,263 - mmseg - INFO - Iter [17800/160000] lr: 1.500e-04, eta: 8:38:58, time: 0.182, data_time: 0.007, memory: 52541, decode.loss_ce: 0.0586, decode.acc_seg: 97.6048, loss: 0.0586 +2023-03-04 02:17:07,946 - mmseg - INFO - Iter [17850/160000] lr: 1.500e-04, eta: 8:38:29, time: 0.173, data_time: 0.007, memory: 52541, decode.loss_ce: 0.0602, decode.acc_seg: 97.5154, loss: 0.0602 +2023-03-04 02:17:16,280 - mmseg - INFO - Iter [17900/160000] lr: 1.500e-04, eta: 8:37:57, time: 0.167, data_time: 0.008, memory: 52541, decode.loss_ce: 0.0561, decode.acc_seg: 97.7011, loss: 0.0561 +2023-03-04 02:17:24,646 - mmseg - INFO - Iter [17950/160000] lr: 1.500e-04, eta: 8:37:26, time: 0.167, data_time: 0.008, memory: 52541, decode.loss_ce: 0.0589, decode.acc_seg: 97.6375, loss: 0.0589 +2023-03-04 02:17:33,206 - mmseg - INFO - Exp name: ablation_segformer_mit_b2_segformer_head_unet_fc_small_multi_step_ade_pretrained_freeze_embed_160k_ade20k151_finetune_ema_wgt.py +2023-03-04 02:17:33,206 - mmseg - INFO - Iter [18000/160000] lr: 1.500e-04, eta: 8:36:57, time: 0.171, data_time: 0.007, memory: 52541, decode.loss_ce: 0.0574, decode.acc_seg: 97.6583, loss: 0.0574 +2023-03-04 02:17:41,680 - mmseg - INFO - Iter [18050/160000] lr: 1.500e-04, eta: 8:36:26, time: 0.169, data_time: 0.008, memory: 52541, decode.loss_ce: 0.0559, decode.acc_seg: 97.7365, loss: 0.0559 +2023-03-04 02:17:49,841 - mmseg - INFO - Iter [18100/160000] lr: 1.500e-04, eta: 8:35:54, time: 0.163, data_time: 0.008, memory: 52541, decode.loss_ce: 0.0570, decode.acc_seg: 97.6249, loss: 0.0570 +2023-03-04 02:17:58,244 - mmseg - INFO - Iter [18150/160000] lr: 1.500e-04, eta: 8:35:24, time: 0.168, data_time: 0.007, memory: 52541, decode.loss_ce: 0.0603, decode.acc_seg: 97.5476, loss: 0.0603 +2023-03-04 02:18:06,268 - mmseg - INFO - Iter [18200/160000] lr: 1.500e-04, eta: 8:34:50, time: 0.161, data_time: 0.008, memory: 52541, decode.loss_ce: 0.0557, decode.acc_seg: 97.6947, loss: 0.0557 +2023-03-04 02:18:14,535 - mmseg - INFO - Iter [18250/160000] lr: 1.500e-04, eta: 8:34:19, time: 0.165, data_time: 0.007, memory: 52541, decode.loss_ce: 0.0540, decode.acc_seg: 97.7708, loss: 0.0540 +2023-03-04 02:18:25,093 - mmseg - INFO - Iter [18300/160000] lr: 1.500e-04, eta: 8:34:05, time: 0.211, data_time: 0.057, memory: 52541, decode.loss_ce: 0.0554, decode.acc_seg: 97.7077, loss: 0.0554 +2023-03-04 02:18:33,371 - mmseg - INFO - Iter [18350/160000] lr: 1.500e-04, eta: 8:33:34, time: 0.166, data_time: 0.008, memory: 52541, decode.loss_ce: 0.0590, decode.acc_seg: 97.5773, loss: 0.0590 +2023-03-04 02:18:41,611 - mmseg - INFO - Iter [18400/160000] lr: 1.500e-04, eta: 8:33:03, time: 0.165, data_time: 0.007, memory: 52541, decode.loss_ce: 0.0542, decode.acc_seg: 97.7315, loss: 0.0542 +2023-03-04 02:18:49,987 - mmseg - INFO - Iter [18450/160000] lr: 1.500e-04, eta: 8:32:33, time: 0.168, data_time: 0.007, memory: 52541, decode.loss_ce: 0.0589, decode.acc_seg: 97.5520, loss: 0.0589 +2023-03-04 02:18:58,258 - mmseg - INFO - Iter [18500/160000] lr: 1.500e-04, eta: 8:32:03, time: 0.165, data_time: 0.007, memory: 52541, decode.loss_ce: 0.0559, decode.acc_seg: 97.6999, loss: 0.0559 +2023-03-04 02:19:06,738 - mmseg - INFO - Iter [18550/160000] lr: 1.500e-04, eta: 8:31:34, time: 0.170, data_time: 0.008, memory: 52541, decode.loss_ce: 0.0555, decode.acc_seg: 97.7381, loss: 0.0555 +2023-03-04 02:19:14,874 - mmseg - INFO - Iter [18600/160000] lr: 1.500e-04, eta: 8:31:02, time: 0.163, data_time: 0.008, memory: 52541, decode.loss_ce: 0.0536, decode.acc_seg: 97.7465, loss: 0.0536 +2023-03-04 02:19:23,213 - mmseg - INFO - Iter [18650/160000] lr: 1.500e-04, eta: 8:30:32, time: 0.167, data_time: 0.007, memory: 52541, decode.loss_ce: 0.0562, decode.acc_seg: 97.7008, loss: 0.0562 +2023-03-04 02:19:31,336 - mmseg - INFO - Iter [18700/160000] lr: 1.500e-04, eta: 8:30:01, time: 0.162, data_time: 0.008, memory: 52541, decode.loss_ce: 0.0606, decode.acc_seg: 97.5757, loss: 0.0606 +2023-03-04 02:19:39,462 - mmseg - INFO - Iter [18750/160000] lr: 1.500e-04, eta: 8:29:30, time: 0.163, data_time: 0.007, memory: 52541, decode.loss_ce: 0.0604, decode.acc_seg: 97.5591, loss: 0.0604 +2023-03-04 02:19:48,182 - mmseg - INFO - Iter [18800/160000] lr: 1.500e-04, eta: 8:29:03, time: 0.174, data_time: 0.007, memory: 52541, decode.loss_ce: 0.0605, decode.acc_seg: 97.5384, loss: 0.0605 +2023-03-04 02:19:56,306 - mmseg - INFO - Iter [18850/160000] lr: 1.500e-04, eta: 8:28:32, time: 0.162, data_time: 0.008, memory: 52541, decode.loss_ce: 0.0635, decode.acc_seg: 97.3979, loss: 0.0635 +2023-03-04 02:20:04,517 - mmseg - INFO - Iter [18900/160000] lr: 1.500e-04, eta: 8:28:02, time: 0.164, data_time: 0.007, memory: 52541, decode.loss_ce: 0.0578, decode.acc_seg: 97.6486, loss: 0.0578 +2023-03-04 02:20:15,595 - mmseg - INFO - Iter [18950/160000] lr: 1.500e-04, eta: 8:27:53, time: 0.221, data_time: 0.054, memory: 52541, decode.loss_ce: 0.0577, decode.acc_seg: 97.6579, loss: 0.0577 +2023-03-04 02:20:23,906 - mmseg - INFO - Exp name: ablation_segformer_mit_b2_segformer_head_unet_fc_small_multi_step_ade_pretrained_freeze_embed_160k_ade20k151_finetune_ema_wgt.py +2023-03-04 02:20:23,906 - mmseg - INFO - Iter [19000/160000] lr: 1.500e-04, eta: 8:27:24, time: 0.166, data_time: 0.008, memory: 52541, decode.loss_ce: 0.0596, decode.acc_seg: 97.5766, loss: 0.0596 +2023-03-04 02:20:32,121 - mmseg - INFO - Iter [19050/160000] lr: 1.500e-04, eta: 8:26:54, time: 0.164, data_time: 0.007, memory: 52541, decode.loss_ce: 0.0604, decode.acc_seg: 97.5055, loss: 0.0604 +2023-03-04 02:20:40,716 - mmseg - INFO - Iter [19100/160000] lr: 1.500e-04, eta: 8:26:27, time: 0.172, data_time: 0.008, memory: 52541, decode.loss_ce: 0.0529, decode.acc_seg: 97.8060, loss: 0.0529 +2023-03-04 02:20:49,187 - mmseg - INFO - Iter [19150/160000] lr: 1.500e-04, eta: 8:25:59, time: 0.169, data_time: 0.008, memory: 52541, decode.loss_ce: 0.0537, decode.acc_seg: 97.7670, loss: 0.0537 +2023-03-04 02:20:57,573 - mmseg - INFO - Iter [19200/160000] lr: 1.500e-04, eta: 8:25:31, time: 0.168, data_time: 0.008, memory: 52541, decode.loss_ce: 0.0535, decode.acc_seg: 97.7175, loss: 0.0535 +2023-03-04 02:21:05,765 - mmseg - INFO - Iter [19250/160000] lr: 1.500e-04, eta: 8:25:01, time: 0.164, data_time: 0.008, memory: 52541, decode.loss_ce: 0.0551, decode.acc_seg: 97.7232, loss: 0.0551 +2023-03-04 02:21:13,808 - mmseg - INFO - Iter [19300/160000] lr: 1.500e-04, eta: 8:24:31, time: 0.161, data_time: 0.007, memory: 52541, decode.loss_ce: 0.0583, decode.acc_seg: 97.6067, loss: 0.0583 +2023-03-04 02:21:22,010 - mmseg - INFO - Iter [19350/160000] lr: 1.500e-04, eta: 8:24:01, time: 0.164, data_time: 0.008, memory: 52541, decode.loss_ce: 0.0553, decode.acc_seg: 97.7358, loss: 0.0553 +2023-03-04 02:21:30,480 - mmseg - INFO - Iter [19400/160000] lr: 1.500e-04, eta: 8:23:34, time: 0.169, data_time: 0.008, memory: 52541, decode.loss_ce: 0.0543, decode.acc_seg: 97.7512, loss: 0.0543 +2023-03-04 02:21:38,894 - mmseg - INFO - Iter [19450/160000] lr: 1.500e-04, eta: 8:23:07, time: 0.168, data_time: 0.008, memory: 52541, decode.loss_ce: 0.0565, decode.acc_seg: 97.7022, loss: 0.0565 +2023-03-04 02:21:47,240 - mmseg - INFO - Iter [19500/160000] lr: 1.500e-04, eta: 8:22:39, time: 0.167, data_time: 0.008, memory: 52541, decode.loss_ce: 0.0593, decode.acc_seg: 97.6034, loss: 0.0593 +2023-03-04 02:21:55,255 - mmseg - INFO - Iter [19550/160000] lr: 1.500e-04, eta: 8:22:08, time: 0.160, data_time: 0.008, memory: 52541, decode.loss_ce: 0.0583, decode.acc_seg: 97.6319, loss: 0.0583 +2023-03-04 02:22:06,301 - mmseg - INFO - Iter [19600/160000] lr: 1.500e-04, eta: 8:22:00, time: 0.221, data_time: 0.053, memory: 52541, decode.loss_ce: 0.0572, decode.acc_seg: 97.6500, loss: 0.0572 +2023-03-04 02:22:14,754 - mmseg - INFO - Iter [19650/160000] lr: 1.500e-04, eta: 8:21:33, time: 0.169, data_time: 0.007, memory: 52541, decode.loss_ce: 0.0589, decode.acc_seg: 97.5826, loss: 0.0589 +2023-03-04 02:22:22,953 - mmseg - INFO - Iter [19700/160000] lr: 1.500e-04, eta: 8:21:04, time: 0.164, data_time: 0.007, memory: 52541, decode.loss_ce: 0.0548, decode.acc_seg: 97.7463, loss: 0.0548 +2023-03-04 02:22:31,460 - mmseg - INFO - Iter [19750/160000] lr: 1.500e-04, eta: 8:20:38, time: 0.170, data_time: 0.008, memory: 52541, decode.loss_ce: 0.0539, decode.acc_seg: 97.7759, loss: 0.0539 +2023-03-04 02:22:39,722 - mmseg - INFO - Iter [19800/160000] lr: 1.500e-04, eta: 8:20:10, time: 0.166, data_time: 0.008, memory: 52541, decode.loss_ce: 0.0600, decode.acc_seg: 97.5306, loss: 0.0600 +2023-03-04 02:22:47,771 - mmseg - INFO - Iter [19850/160000] lr: 1.500e-04, eta: 8:19:40, time: 0.161, data_time: 0.008, memory: 52541, decode.loss_ce: 0.0551, decode.acc_seg: 97.7244, loss: 0.0551 +2023-03-04 02:22:56,240 - mmseg - INFO - Iter [19900/160000] lr: 1.500e-04, eta: 8:19:14, time: 0.169, data_time: 0.008, memory: 52541, decode.loss_ce: 0.0578, decode.acc_seg: 97.6596, loss: 0.0578 +2023-03-04 02:23:04,826 - mmseg - INFO - Iter [19950/160000] lr: 1.500e-04, eta: 8:18:49, time: 0.172, data_time: 0.007, memory: 52541, decode.loss_ce: 0.0577, decode.acc_seg: 97.6331, loss: 0.0577 +2023-03-04 02:23:13,036 - mmseg - INFO - Exp name: ablation_segformer_mit_b2_segformer_head_unet_fc_small_multi_step_ade_pretrained_freeze_embed_160k_ade20k151_finetune_ema_wgt.py +2023-03-04 02:23:13,036 - mmseg - INFO - Iter [20000/160000] lr: 1.500e-04, eta: 8:18:20, time: 0.164, data_time: 0.007, memory: 52541, decode.loss_ce: 0.0577, decode.acc_seg: 97.6258, loss: 0.0577 +2023-03-04 02:23:21,571 - mmseg - INFO - Iter [20050/160000] lr: 7.500e-05, eta: 8:17:55, time: 0.171, data_time: 0.007, memory: 52541, decode.loss_ce: 0.0550, decode.acc_seg: 97.7491, loss: 0.0550 +2023-03-04 02:23:29,700 - mmseg - INFO - Iter [20100/160000] lr: 7.500e-05, eta: 8:17:26, time: 0.162, data_time: 0.008, memory: 52541, decode.loss_ce: 0.0584, decode.acc_seg: 97.6229, loss: 0.0584 +2023-03-04 02:23:37,930 - mmseg - INFO - Iter [20150/160000] lr: 7.500e-05, eta: 8:16:59, time: 0.165, data_time: 0.008, memory: 52541, decode.loss_ce: 0.0558, decode.acc_seg: 97.6926, loss: 0.0558 +2023-03-04 02:23:48,578 - mmseg - INFO - Iter [20200/160000] lr: 7.500e-05, eta: 8:16:48, time: 0.213, data_time: 0.055, memory: 52541, decode.loss_ce: 0.0539, decode.acc_seg: 97.7513, loss: 0.0539 +2023-03-04 02:23:56,829 - mmseg - INFO - Iter [20250/160000] lr: 7.500e-05, eta: 8:16:21, time: 0.165, data_time: 0.008, memory: 52541, decode.loss_ce: 0.0564, decode.acc_seg: 97.6633, loss: 0.0564 +2023-03-04 02:24:05,233 - mmseg - INFO - Iter [20300/160000] lr: 7.500e-05, eta: 8:15:55, time: 0.168, data_time: 0.008, memory: 52541, decode.loss_ce: 0.0520, decode.acc_seg: 97.8382, loss: 0.0520 +2023-03-04 02:24:13,653 - mmseg - INFO - Iter [20350/160000] lr: 7.500e-05, eta: 8:15:29, time: 0.168, data_time: 0.007, memory: 52541, decode.loss_ce: 0.0535, decode.acc_seg: 97.7723, loss: 0.0535 +2023-03-04 02:24:22,405 - mmseg - INFO - Iter [20400/160000] lr: 7.500e-05, eta: 8:15:05, time: 0.175, data_time: 0.008, memory: 52541, decode.loss_ce: 0.0553, decode.acc_seg: 97.6759, loss: 0.0553 +2023-03-04 02:24:30,881 - mmseg - INFO - Iter [20450/160000] lr: 7.500e-05, eta: 8:14:40, time: 0.169, data_time: 0.007, memory: 52541, decode.loss_ce: 0.0549, decode.acc_seg: 97.6963, loss: 0.0549 +2023-03-04 02:24:39,123 - mmseg - INFO - Iter [20500/160000] lr: 7.500e-05, eta: 8:14:13, time: 0.165, data_time: 0.007, memory: 52541, decode.loss_ce: 0.0547, decode.acc_seg: 97.7257, loss: 0.0547 +2023-03-04 02:24:47,279 - mmseg - INFO - Iter [20550/160000] lr: 7.500e-05, eta: 8:13:45, time: 0.163, data_time: 0.008, memory: 52541, decode.loss_ce: 0.0519, decode.acc_seg: 97.8642, loss: 0.0519 +2023-03-04 02:24:55,330 - mmseg - INFO - Iter [20600/160000] lr: 7.500e-05, eta: 8:13:17, time: 0.161, data_time: 0.008, memory: 52541, decode.loss_ce: 0.0533, decode.acc_seg: 97.7867, loss: 0.0533 +2023-03-04 02:25:03,371 - mmseg - INFO - Iter [20650/160000] lr: 7.500e-05, eta: 8:12:49, time: 0.161, data_time: 0.008, memory: 52541, decode.loss_ce: 0.0538, decode.acc_seg: 97.7848, loss: 0.0538 +2023-03-04 02:25:11,727 - mmseg - INFO - Iter [20700/160000] lr: 7.500e-05, eta: 8:12:24, time: 0.167, data_time: 0.007, memory: 52541, decode.loss_ce: 0.0538, decode.acc_seg: 97.7199, loss: 0.0538 +2023-03-04 02:25:19,800 - mmseg - INFO - Iter [20750/160000] lr: 7.500e-05, eta: 8:11:56, time: 0.161, data_time: 0.008, memory: 52541, decode.loss_ce: 0.0524, decode.acc_seg: 97.8572, loss: 0.0524 +2023-03-04 02:25:28,075 - mmseg - INFO - Iter [20800/160000] lr: 7.500e-05, eta: 8:11:30, time: 0.165, data_time: 0.007, memory: 52541, decode.loss_ce: 0.0536, decode.acc_seg: 97.7777, loss: 0.0536 +2023-03-04 02:25:38,662 - mmseg - INFO - Iter [20850/160000] lr: 7.500e-05, eta: 8:11:19, time: 0.212, data_time: 0.053, memory: 52541, decode.loss_ce: 0.0549, decode.acc_seg: 97.7170, loss: 0.0549 +2023-03-04 02:25:46,919 - mmseg - INFO - Iter [20900/160000] lr: 7.500e-05, eta: 8:10:53, time: 0.165, data_time: 0.007, memory: 52541, decode.loss_ce: 0.0533, decode.acc_seg: 97.7497, loss: 0.0533 +2023-03-04 02:25:55,154 - mmseg - INFO - Iter [20950/160000] lr: 7.500e-05, eta: 8:10:27, time: 0.165, data_time: 0.008, memory: 52541, decode.loss_ce: 0.0535, decode.acc_seg: 97.8110, loss: 0.0535 +2023-03-04 02:26:03,369 - mmseg - INFO - Exp name: ablation_segformer_mit_b2_segformer_head_unet_fc_small_multi_step_ade_pretrained_freeze_embed_160k_ade20k151_finetune_ema_wgt.py +2023-03-04 02:26:03,369 - mmseg - INFO - Iter [21000/160000] lr: 7.500e-05, eta: 8:10:01, time: 0.165, data_time: 0.008, memory: 52541, decode.loss_ce: 0.0504, decode.acc_seg: 97.8964, loss: 0.0504 +2023-03-04 02:26:11,699 - mmseg - INFO - Iter [21050/160000] lr: 7.500e-05, eta: 8:09:35, time: 0.167, data_time: 0.008, memory: 52541, decode.loss_ce: 0.0517, decode.acc_seg: 97.8163, loss: 0.0517 +2023-03-04 02:26:19,996 - mmseg - INFO - Iter [21100/160000] lr: 7.500e-05, eta: 8:09:10, time: 0.166, data_time: 0.008, memory: 52541, decode.loss_ce: 0.0530, decode.acc_seg: 97.7480, loss: 0.0530 +2023-03-04 02:26:28,625 - mmseg - INFO - Iter [21150/160000] lr: 7.500e-05, eta: 8:08:46, time: 0.172, data_time: 0.008, memory: 52541, decode.loss_ce: 0.0523, decode.acc_seg: 97.7968, loss: 0.0523 +2023-03-04 02:26:36,871 - mmseg - INFO - Iter [21200/160000] lr: 7.500e-05, eta: 8:08:21, time: 0.165, data_time: 0.008, memory: 52541, decode.loss_ce: 0.0513, decode.acc_seg: 97.8496, loss: 0.0513 +2023-03-04 02:26:45,130 - mmseg - INFO - Iter [21250/160000] lr: 7.500e-05, eta: 8:07:55, time: 0.165, data_time: 0.008, memory: 52541, decode.loss_ce: 0.0529, decode.acc_seg: 97.7523, loss: 0.0529 +2023-03-04 02:26:53,226 - mmseg - INFO - Iter [21300/160000] lr: 7.500e-05, eta: 8:07:29, time: 0.162, data_time: 0.008, memory: 52541, decode.loss_ce: 0.0518, decode.acc_seg: 97.8267, loss: 0.0518 +2023-03-04 02:27:01,331 - mmseg - INFO - Iter [21350/160000] lr: 7.500e-05, eta: 8:07:02, time: 0.162, data_time: 0.008, memory: 52541, decode.loss_ce: 0.0558, decode.acc_seg: 97.6596, loss: 0.0558 +2023-03-04 02:27:09,494 - mmseg - INFO - Iter [21400/160000] lr: 7.500e-05, eta: 8:06:36, time: 0.163, data_time: 0.008, memory: 52541, decode.loss_ce: 0.0539, decode.acc_seg: 97.7227, loss: 0.0539 +2023-03-04 02:27:17,507 - mmseg - INFO - Iter [21450/160000] lr: 7.500e-05, eta: 8:06:09, time: 0.160, data_time: 0.008, memory: 52541, decode.loss_ce: 0.0509, decode.acc_seg: 97.8478, loss: 0.0509 +2023-03-04 02:27:28,221 - mmseg - INFO - Iter [21500/160000] lr: 7.500e-05, eta: 8:06:00, time: 0.214, data_time: 0.058, memory: 52541, decode.loss_ce: 0.0517, decode.acc_seg: 97.7916, loss: 0.0517 +2023-03-04 02:27:36,683 - mmseg - INFO - Iter [21550/160000] lr: 7.500e-05, eta: 8:05:36, time: 0.169, data_time: 0.007, memory: 52541, decode.loss_ce: 0.0548, decode.acc_seg: 97.7232, loss: 0.0548 +2023-03-04 02:27:45,144 - mmseg - INFO - Iter [21600/160000] lr: 7.500e-05, eta: 8:05:13, time: 0.169, data_time: 0.007, memory: 52541, decode.loss_ce: 0.0520, decode.acc_seg: 97.8230, loss: 0.0520 +2023-03-04 02:27:53,550 - mmseg - INFO - Iter [21650/160000] lr: 7.500e-05, eta: 8:04:49, time: 0.168, data_time: 0.007, memory: 52541, decode.loss_ce: 0.0508, decode.acc_seg: 97.8607, loss: 0.0508 +2023-03-04 02:28:01,930 - mmseg - INFO - Iter [21700/160000] lr: 7.500e-05, eta: 8:04:25, time: 0.168, data_time: 0.007, memory: 52541, decode.loss_ce: 0.0522, decode.acc_seg: 97.8236, loss: 0.0522 +2023-03-04 02:28:10,521 - mmseg - INFO - Iter [21750/160000] lr: 7.500e-05, eta: 8:04:02, time: 0.172, data_time: 0.009, memory: 52541, decode.loss_ce: 0.0539, decode.acc_seg: 97.7485, loss: 0.0539 +2023-03-04 02:28:18,595 - mmseg - INFO - Iter [21800/160000] lr: 7.500e-05, eta: 8:03:36, time: 0.161, data_time: 0.007, memory: 52541, decode.loss_ce: 0.0531, decode.acc_seg: 97.7896, loss: 0.0531 +2023-03-04 02:28:27,280 - mmseg - INFO - Iter [21850/160000] lr: 7.500e-05, eta: 8:03:14, time: 0.174, data_time: 0.007, memory: 52541, decode.loss_ce: 0.0540, decode.acc_seg: 97.7644, loss: 0.0540 +2023-03-04 02:28:35,373 - mmseg - INFO - Iter [21900/160000] lr: 7.500e-05, eta: 8:02:48, time: 0.162, data_time: 0.008, memory: 52541, decode.loss_ce: 0.0554, decode.acc_seg: 97.6900, loss: 0.0554 +2023-03-04 02:28:43,582 - mmseg - INFO - Iter [21950/160000] lr: 7.500e-05, eta: 8:02:23, time: 0.164, data_time: 0.007, memory: 52541, decode.loss_ce: 0.0524, decode.acc_seg: 97.8361, loss: 0.0524 +2023-03-04 02:28:51,891 - mmseg - INFO - Exp name: ablation_segformer_mit_b2_segformer_head_unet_fc_small_multi_step_ade_pretrained_freeze_embed_160k_ade20k151_finetune_ema_wgt.py +2023-03-04 02:28:51,891 - mmseg - INFO - Iter [22000/160000] lr: 7.500e-05, eta: 8:01:59, time: 0.166, data_time: 0.008, memory: 52541, decode.loss_ce: 0.0484, decode.acc_seg: 97.9871, loss: 0.0484 +2023-03-04 02:29:00,190 - mmseg - INFO - Iter [22050/160000] lr: 7.500e-05, eta: 8:01:35, time: 0.166, data_time: 0.008, memory: 52541, decode.loss_ce: 0.0530, decode.acc_seg: 97.7547, loss: 0.0530 +2023-03-04 02:29:11,003 - mmseg - INFO - Iter [22100/160000] lr: 7.500e-05, eta: 8:01:27, time: 0.217, data_time: 0.053, memory: 52541, decode.loss_ce: 0.0495, decode.acc_seg: 97.9402, loss: 0.0495 +2023-03-04 02:29:19,226 - mmseg - INFO - Iter [22150/160000] lr: 7.500e-05, eta: 8:01:02, time: 0.164, data_time: 0.008, memory: 52541, decode.loss_ce: 0.0512, decode.acc_seg: 97.8734, loss: 0.0512 +2023-03-04 02:29:27,761 - mmseg - INFO - Iter [22200/160000] lr: 7.500e-05, eta: 8:00:40, time: 0.171, data_time: 0.008, memory: 52541, decode.loss_ce: 0.0544, decode.acc_seg: 97.7172, loss: 0.0544 +2023-03-04 02:29:36,360 - mmseg - INFO - Iter [22250/160000] lr: 7.500e-05, eta: 8:00:18, time: 0.172, data_time: 0.007, memory: 52541, decode.loss_ce: 0.0532, decode.acc_seg: 97.7602, loss: 0.0532 +2023-03-04 02:29:44,494 - mmseg - INFO - Iter [22300/160000] lr: 7.500e-05, eta: 7:59:53, time: 0.163, data_time: 0.007, memory: 52541, decode.loss_ce: 0.0539, decode.acc_seg: 97.7898, loss: 0.0539 +2023-03-04 02:29:52,591 - mmseg - INFO - Iter [22350/160000] lr: 7.500e-05, eta: 7:59:28, time: 0.162, data_time: 0.008, memory: 52541, decode.loss_ce: 0.0510, decode.acc_seg: 97.8285, loss: 0.0510 +2023-03-04 02:30:00,863 - mmseg - INFO - Iter [22400/160000] lr: 7.500e-05, eta: 7:59:04, time: 0.165, data_time: 0.007, memory: 52541, decode.loss_ce: 0.0524, decode.acc_seg: 97.7869, loss: 0.0524 +2023-03-04 02:30:09,025 - mmseg - INFO - Iter [22450/160000] lr: 7.500e-05, eta: 7:58:40, time: 0.163, data_time: 0.007, memory: 52541, decode.loss_ce: 0.0563, decode.acc_seg: 97.6662, loss: 0.0563 +2023-03-04 02:30:17,364 - mmseg - INFO - Iter [22500/160000] lr: 7.500e-05, eta: 7:58:17, time: 0.167, data_time: 0.008, memory: 52541, decode.loss_ce: 0.0536, decode.acc_seg: 97.7797, loss: 0.0536 +2023-03-04 02:30:25,795 - mmseg - INFO - Iter [22550/160000] lr: 7.500e-05, eta: 7:57:54, time: 0.169, data_time: 0.009, memory: 52541, decode.loss_ce: 0.0493, decode.acc_seg: 97.8966, loss: 0.0493 +2023-03-04 02:30:34,077 - mmseg - INFO - Iter [22600/160000] lr: 7.500e-05, eta: 7:57:30, time: 0.166, data_time: 0.008, memory: 52541, decode.loss_ce: 0.0518, decode.acc_seg: 97.8020, loss: 0.0518 +2023-03-04 02:30:42,659 - mmseg - INFO - Iter [22650/160000] lr: 7.500e-05, eta: 7:57:09, time: 0.172, data_time: 0.008, memory: 52541, decode.loss_ce: 0.0589, decode.acc_seg: 97.5871, loss: 0.0589 +2023-03-04 02:30:51,154 - mmseg - INFO - Iter [22700/160000] lr: 7.500e-05, eta: 7:56:47, time: 0.170, data_time: 0.007, memory: 52541, decode.loss_ce: 0.0539, decode.acc_seg: 97.7408, loss: 0.0539 +2023-03-04 02:31:01,780 - mmseg - INFO - Iter [22750/160000] lr: 7.500e-05, eta: 7:56:38, time: 0.213, data_time: 0.054, memory: 52541, decode.loss_ce: 0.0557, decode.acc_seg: 97.6672, loss: 0.0557 +2023-03-04 02:31:10,042 - mmseg - INFO - Iter [22800/160000] lr: 7.500e-05, eta: 7:56:14, time: 0.165, data_time: 0.007, memory: 52541, decode.loss_ce: 0.0512, decode.acc_seg: 97.8369, loss: 0.0512 +2023-03-04 02:31:18,153 - mmseg - INFO - Iter [22850/160000] lr: 7.500e-05, eta: 7:55:50, time: 0.162, data_time: 0.008, memory: 52541, decode.loss_ce: 0.0510, decode.acc_seg: 97.8453, loss: 0.0510 +2023-03-04 02:31:26,604 - mmseg - INFO - Iter [22900/160000] lr: 7.500e-05, eta: 7:55:28, time: 0.169, data_time: 0.008, memory: 52541, decode.loss_ce: 0.0477, decode.acc_seg: 98.0014, loss: 0.0477 +2023-03-04 02:31:34,990 - mmseg - INFO - Iter [22950/160000] lr: 7.500e-05, eta: 7:55:05, time: 0.168, data_time: 0.007, memory: 52541, decode.loss_ce: 0.0504, decode.acc_seg: 97.8990, loss: 0.0504 +2023-03-04 02:31:43,366 - mmseg - INFO - Exp name: ablation_segformer_mit_b2_segformer_head_unet_fc_small_multi_step_ade_pretrained_freeze_embed_160k_ade20k151_finetune_ema_wgt.py +2023-03-04 02:31:43,366 - mmseg - INFO - Iter [23000/160000] lr: 7.500e-05, eta: 7:54:43, time: 0.167, data_time: 0.008, memory: 52541, decode.loss_ce: 0.0526, decode.acc_seg: 97.7596, loss: 0.0526 +2023-03-04 02:31:51,448 - mmseg - INFO - Iter [23050/160000] lr: 7.500e-05, eta: 7:54:19, time: 0.161, data_time: 0.008, memory: 52541, decode.loss_ce: 0.0565, decode.acc_seg: 97.7708, loss: 0.0565 +2023-03-04 02:31:59,511 - mmseg - INFO - Iter [23100/160000] lr: 7.500e-05, eta: 7:53:55, time: 0.161, data_time: 0.008, memory: 52541, decode.loss_ce: 0.0525, decode.acc_seg: 97.8290, loss: 0.0525 +2023-03-04 02:32:07,614 - mmseg - INFO - Iter [23150/160000] lr: 7.500e-05, eta: 7:53:31, time: 0.162, data_time: 0.008, memory: 52541, decode.loss_ce: 0.0502, decode.acc_seg: 97.8923, loss: 0.0502 +2023-03-04 02:32:15,965 - mmseg - INFO - Iter [23200/160000] lr: 7.500e-05, eta: 7:53:08, time: 0.167, data_time: 0.008, memory: 52541, decode.loss_ce: 0.0503, decode.acc_seg: 97.9041, loss: 0.0503 +2023-03-04 02:32:24,793 - mmseg - INFO - Iter [23250/160000] lr: 7.500e-05, eta: 7:52:49, time: 0.176, data_time: 0.007, memory: 52541, decode.loss_ce: 0.0501, decode.acc_seg: 97.8913, loss: 0.0501 +2023-03-04 02:32:33,669 - mmseg - INFO - Iter [23300/160000] lr: 7.500e-05, eta: 7:52:30, time: 0.178, data_time: 0.008, memory: 52541, decode.loss_ce: 0.0529, decode.acc_seg: 97.7544, loss: 0.0529 +2023-03-04 02:32:44,615 - mmseg - INFO - Iter [23350/160000] lr: 7.500e-05, eta: 7:52:23, time: 0.219, data_time: 0.055, memory: 52541, decode.loss_ce: 0.0532, decode.acc_seg: 97.7751, loss: 0.0532 +2023-03-04 02:32:53,095 - mmseg - INFO - Iter [23400/160000] lr: 7.500e-05, eta: 7:52:01, time: 0.170, data_time: 0.009, memory: 52541, decode.loss_ce: 0.0534, decode.acc_seg: 97.7758, loss: 0.0534 +2023-03-04 02:33:01,284 - mmseg - INFO - Iter [23450/160000] lr: 7.500e-05, eta: 7:51:38, time: 0.164, data_time: 0.008, memory: 52541, decode.loss_ce: 0.0505, decode.acc_seg: 97.8908, loss: 0.0505 +2023-03-04 02:33:09,867 - mmseg - INFO - Iter [23500/160000] lr: 7.500e-05, eta: 7:51:18, time: 0.172, data_time: 0.008, memory: 52541, decode.loss_ce: 0.0495, decode.acc_seg: 97.9446, loss: 0.0495 +2023-03-04 02:33:18,448 - mmseg - INFO - Iter [23550/160000] lr: 7.500e-05, eta: 7:50:57, time: 0.172, data_time: 0.007, memory: 52541, decode.loss_ce: 0.0509, decode.acc_seg: 97.8729, loss: 0.0509 +2023-03-04 02:33:26,665 - mmseg - INFO - Iter [23600/160000] lr: 7.500e-05, eta: 7:50:34, time: 0.164, data_time: 0.008, memory: 52541, decode.loss_ce: 0.0509, decode.acc_seg: 97.8761, loss: 0.0509 +2023-03-04 02:33:34,822 - mmseg - INFO - Iter [23650/160000] lr: 7.500e-05, eta: 7:50:11, time: 0.163, data_time: 0.008, memory: 52541, decode.loss_ce: 0.0502, decode.acc_seg: 97.9303, loss: 0.0502 +2023-03-04 02:33:42,916 - mmseg - INFO - Iter [23700/160000] lr: 7.500e-05, eta: 7:49:48, time: 0.162, data_time: 0.008, memory: 52541, decode.loss_ce: 0.0536, decode.acc_seg: 97.7420, loss: 0.0536 +2023-03-04 02:33:51,157 - mmseg - INFO - Iter [23750/160000] lr: 7.500e-05, eta: 7:49:25, time: 0.165, data_time: 0.008, memory: 52541, decode.loss_ce: 0.0490, decode.acc_seg: 97.9229, loss: 0.0490 +2023-03-04 02:33:59,845 - mmseg - INFO - Iter [23800/160000] lr: 7.500e-05, eta: 7:49:06, time: 0.174, data_time: 0.009, memory: 52541, decode.loss_ce: 0.0555, decode.acc_seg: 97.7108, loss: 0.0555 +2023-03-04 02:34:08,017 - mmseg - INFO - Iter [23850/160000] lr: 7.500e-05, eta: 7:48:43, time: 0.164, data_time: 0.007, memory: 52541, decode.loss_ce: 0.0525, decode.acc_seg: 97.8056, loss: 0.0525 +2023-03-04 02:34:16,822 - mmseg - INFO - Iter [23900/160000] lr: 7.500e-05, eta: 7:48:24, time: 0.176, data_time: 0.007, memory: 52541, decode.loss_ce: 0.0502, decode.acc_seg: 97.8433, loss: 0.0502 +2023-03-04 02:34:24,960 - mmseg - INFO - Iter [23950/160000] lr: 7.500e-05, eta: 7:48:01, time: 0.163, data_time: 0.008, memory: 52541, decode.loss_ce: 0.0505, decode.acc_seg: 97.8730, loss: 0.0505 +2023-03-04 02:34:35,596 - mmseg - INFO - Exp name: ablation_segformer_mit_b2_segformer_head_unet_fc_small_multi_step_ade_pretrained_freeze_embed_160k_ade20k151_finetune_ema_wgt.py +2023-03-04 02:34:35,596 - mmseg - INFO - Iter [24000/160000] lr: 7.500e-05, eta: 7:47:53, time: 0.213, data_time: 0.056, memory: 52541, decode.loss_ce: 0.0525, decode.acc_seg: 97.8119, loss: 0.0525 +2023-03-04 02:34:43,650 - mmseg - INFO - Iter [24050/160000] lr: 7.500e-05, eta: 7:47:30, time: 0.161, data_time: 0.007, memory: 52541, decode.loss_ce: 0.0522, decode.acc_seg: 97.7838, loss: 0.0522 +2023-03-04 02:34:52,186 - mmseg - INFO - Iter [24100/160000] lr: 7.500e-05, eta: 7:47:09, time: 0.171, data_time: 0.008, memory: 52541, decode.loss_ce: 0.0548, decode.acc_seg: 97.7674, loss: 0.0548 +2023-03-04 02:35:00,491 - mmseg - INFO - Iter [24150/160000] lr: 7.500e-05, eta: 7:46:48, time: 0.166, data_time: 0.008, memory: 52541, decode.loss_ce: 0.0513, decode.acc_seg: 97.8614, loss: 0.0513 +2023-03-04 02:35:08,710 - mmseg - INFO - Iter [24200/160000] lr: 7.500e-05, eta: 7:46:26, time: 0.164, data_time: 0.007, memory: 52541, decode.loss_ce: 0.0517, decode.acc_seg: 97.8612, loss: 0.0517 +2023-03-04 02:35:17,212 - mmseg - INFO - Iter [24250/160000] lr: 7.500e-05, eta: 7:46:05, time: 0.170, data_time: 0.007, memory: 52541, decode.loss_ce: 0.0496, decode.acc_seg: 97.8761, loss: 0.0496 +2023-03-04 02:35:25,350 - mmseg - INFO - Iter [24300/160000] lr: 7.500e-05, eta: 7:45:43, time: 0.163, data_time: 0.007, memory: 52541, decode.loss_ce: 0.0499, decode.acc_seg: 97.9194, loss: 0.0499 +2023-03-04 02:35:33,886 - mmseg - INFO - Iter [24350/160000] lr: 7.500e-05, eta: 7:45:23, time: 0.171, data_time: 0.007, memory: 52541, decode.loss_ce: 0.0532, decode.acc_seg: 97.7740, loss: 0.0532 +2023-03-04 02:35:42,109 - mmseg - INFO - Iter [24400/160000] lr: 7.500e-05, eta: 7:45:01, time: 0.164, data_time: 0.008, memory: 52541, decode.loss_ce: 0.0525, decode.acc_seg: 97.8018, loss: 0.0525 +2023-03-04 02:35:50,758 - mmseg - INFO - Iter [24450/160000] lr: 7.500e-05, eta: 7:44:42, time: 0.173, data_time: 0.008, memory: 52541, decode.loss_ce: 0.0548, decode.acc_seg: 97.6947, loss: 0.0548 +2023-03-04 02:35:59,360 - mmseg - INFO - Iter [24500/160000] lr: 7.500e-05, eta: 7:44:22, time: 0.172, data_time: 0.007, memory: 52541, decode.loss_ce: 0.0508, decode.acc_seg: 97.8700, loss: 0.0508 +2023-03-04 02:36:08,130 - mmseg - INFO - Iter [24550/160000] lr: 7.500e-05, eta: 7:44:03, time: 0.175, data_time: 0.009, memory: 52541, decode.loss_ce: 0.0540, decode.acc_seg: 97.7368, loss: 0.0540 +2023-03-04 02:36:16,332 - mmseg - INFO - Iter [24600/160000] lr: 7.500e-05, eta: 7:43:42, time: 0.164, data_time: 0.007, memory: 52541, decode.loss_ce: 0.0483, decode.acc_seg: 97.9483, loss: 0.0483 +2023-03-04 02:36:26,923 - mmseg - INFO - Iter [24650/160000] lr: 7.500e-05, eta: 7:43:33, time: 0.212, data_time: 0.053, memory: 52541, decode.loss_ce: 0.0521, decode.acc_seg: 97.8326, loss: 0.0521 +2023-03-04 02:36:35,142 - mmseg - INFO - Iter [24700/160000] lr: 7.500e-05, eta: 7:43:12, time: 0.164, data_time: 0.007, memory: 52541, decode.loss_ce: 0.0505, decode.acc_seg: 97.8718, loss: 0.0505 +2023-03-04 02:36:43,375 - mmseg - INFO - Iter [24750/160000] lr: 7.500e-05, eta: 7:42:50, time: 0.165, data_time: 0.007, memory: 52541, decode.loss_ce: 0.0517, decode.acc_seg: 97.8386, loss: 0.0517 +2023-03-04 02:36:51,981 - mmseg - INFO - Iter [24800/160000] lr: 7.500e-05, eta: 7:42:31, time: 0.172, data_time: 0.007, memory: 52541, decode.loss_ce: 0.0497, decode.acc_seg: 97.9088, loss: 0.0497 +2023-03-04 02:37:00,309 - mmseg - INFO - Iter [24850/160000] lr: 7.500e-05, eta: 7:42:10, time: 0.167, data_time: 0.008, memory: 52541, decode.loss_ce: 0.0519, decode.acc_seg: 97.8369, loss: 0.0519 +2023-03-04 02:37:08,521 - mmseg - INFO - Iter [24900/160000] lr: 7.500e-05, eta: 7:41:49, time: 0.164, data_time: 0.007, memory: 52541, decode.loss_ce: 0.0534, decode.acc_seg: 97.7244, loss: 0.0534 +2023-03-04 02:37:16,895 - mmseg - INFO - Iter [24950/160000] lr: 7.500e-05, eta: 7:41:28, time: 0.167, data_time: 0.007, memory: 52541, decode.loss_ce: 0.0494, decode.acc_seg: 97.9354, loss: 0.0494 +2023-03-04 02:37:25,457 - mmseg - INFO - Exp name: ablation_segformer_mit_b2_segformer_head_unet_fc_small_multi_step_ade_pretrained_freeze_embed_160k_ade20k151_finetune_ema_wgt.py +2023-03-04 02:37:25,457 - mmseg - INFO - Iter [25000/160000] lr: 7.500e-05, eta: 7:41:09, time: 0.171, data_time: 0.008, memory: 52541, decode.loss_ce: 0.0531, decode.acc_seg: 97.7816, loss: 0.0531 +2023-03-04 02:37:34,156 - mmseg - INFO - Iter [25050/160000] lr: 7.500e-05, eta: 7:40:50, time: 0.174, data_time: 0.008, memory: 52541, decode.loss_ce: 0.0532, decode.acc_seg: 97.7833, loss: 0.0532 +2023-03-04 02:37:42,392 - mmseg - INFO - Iter [25100/160000] lr: 7.500e-05, eta: 7:40:29, time: 0.165, data_time: 0.008, memory: 52541, decode.loss_ce: 0.0498, decode.acc_seg: 97.8956, loss: 0.0498 +2023-03-04 02:37:50,603 - mmseg - INFO - Iter [25150/160000] lr: 7.500e-05, eta: 7:40:08, time: 0.164, data_time: 0.007, memory: 52541, decode.loss_ce: 0.0525, decode.acc_seg: 97.8252, loss: 0.0525 +2023-03-04 02:37:58,855 - mmseg - INFO - Iter [25200/160000] lr: 7.500e-05, eta: 7:39:47, time: 0.165, data_time: 0.008, memory: 52541, decode.loss_ce: 0.0502, decode.acc_seg: 97.8760, loss: 0.0502 +2023-03-04 02:38:09,604 - mmseg - INFO - Iter [25250/160000] lr: 7.500e-05, eta: 7:39:40, time: 0.215, data_time: 0.055, memory: 52541, decode.loss_ce: 0.0530, decode.acc_seg: 97.7712, loss: 0.0530 +2023-03-04 02:38:17,799 - mmseg - INFO - Iter [25300/160000] lr: 7.500e-05, eta: 7:39:19, time: 0.164, data_time: 0.007, memory: 52541, decode.loss_ce: 0.0515, decode.acc_seg: 97.9190, loss: 0.0515 +2023-03-04 02:38:26,059 - mmseg - INFO - Iter [25350/160000] lr: 7.500e-05, eta: 7:38:58, time: 0.165, data_time: 0.008, memory: 52541, decode.loss_ce: 0.0563, decode.acc_seg: 97.7004, loss: 0.0563 +2023-03-04 02:38:34,099 - mmseg - INFO - Iter [25400/160000] lr: 7.500e-05, eta: 7:38:36, time: 0.161, data_time: 0.008, memory: 52541, decode.loss_ce: 0.0476, decode.acc_seg: 98.0299, loss: 0.0476 +2023-03-04 02:38:42,357 - mmseg - INFO - Iter [25450/160000] lr: 7.500e-05, eta: 7:38:16, time: 0.165, data_time: 0.008, memory: 52541, decode.loss_ce: 0.0492, decode.acc_seg: 97.8941, loss: 0.0492 +2023-03-04 02:38:50,640 - mmseg - INFO - Iter [25500/160000] lr: 7.500e-05, eta: 7:37:55, time: 0.166, data_time: 0.007, memory: 52541, decode.loss_ce: 0.0530, decode.acc_seg: 97.8095, loss: 0.0530 +2023-03-04 02:38:58,774 - mmseg - INFO - Iter [25550/160000] lr: 7.500e-05, eta: 7:37:34, time: 0.163, data_time: 0.008, memory: 52541, decode.loss_ce: 0.0484, decode.acc_seg: 97.9201, loss: 0.0484 +2023-03-04 02:39:07,182 - mmseg - INFO - Iter [25600/160000] lr: 7.500e-05, eta: 7:37:14, time: 0.168, data_time: 0.007, memory: 52541, decode.loss_ce: 0.0499, decode.acc_seg: 97.9069, loss: 0.0499 +2023-03-04 02:39:15,372 - mmseg - INFO - Iter [25650/160000] lr: 7.500e-05, eta: 7:36:54, time: 0.164, data_time: 0.008, memory: 52541, decode.loss_ce: 0.0529, decode.acc_seg: 97.7521, loss: 0.0529 +2023-03-04 02:39:23,521 - mmseg - INFO - Iter [25700/160000] lr: 7.500e-05, eta: 7:36:33, time: 0.163, data_time: 0.007, memory: 52541, decode.loss_ce: 0.0556, decode.acc_seg: 97.6663, loss: 0.0556 +2023-03-04 02:39:32,074 - mmseg - INFO - Iter [25750/160000] lr: 7.500e-05, eta: 7:36:14, time: 0.171, data_time: 0.007, memory: 52541, decode.loss_ce: 0.0542, decode.acc_seg: 97.7165, loss: 0.0542 +2023-03-04 02:39:40,194 - mmseg - INFO - Iter [25800/160000] lr: 7.500e-05, eta: 7:35:53, time: 0.162, data_time: 0.008, memory: 52541, decode.loss_ce: 0.0533, decode.acc_seg: 97.7574, loss: 0.0533 +2023-03-04 02:39:48,400 - mmseg - INFO - Iter [25850/160000] lr: 7.500e-05, eta: 7:35:32, time: 0.164, data_time: 0.008, memory: 52541, decode.loss_ce: 0.0500, decode.acc_seg: 97.8730, loss: 0.0500 +2023-03-04 02:39:59,481 - mmseg - INFO - Iter [25900/160000] lr: 7.500e-05, eta: 7:35:27, time: 0.221, data_time: 0.055, memory: 52541, decode.loss_ce: 0.0515, decode.acc_seg: 97.8470, loss: 0.0515 +2023-03-04 02:40:08,158 - mmseg - INFO - Iter [25950/160000] lr: 7.500e-05, eta: 7:35:09, time: 0.174, data_time: 0.007, memory: 52541, decode.loss_ce: 0.0480, decode.acc_seg: 97.9870, loss: 0.0480 +2023-03-04 02:40:16,584 - mmseg - INFO - Exp name: ablation_segformer_mit_b2_segformer_head_unet_fc_small_multi_step_ade_pretrained_freeze_embed_160k_ade20k151_finetune_ema_wgt.py +2023-03-04 02:40:16,584 - mmseg - INFO - Iter [26000/160000] lr: 7.500e-05, eta: 7:34:50, time: 0.169, data_time: 0.007, memory: 52541, decode.loss_ce: 0.0500, decode.acc_seg: 97.8741, loss: 0.0500 +2023-03-04 02:40:24,634 - mmseg - INFO - Iter [26050/160000] lr: 7.500e-05, eta: 7:34:28, time: 0.161, data_time: 0.007, memory: 52541, decode.loss_ce: 0.0530, decode.acc_seg: 97.8263, loss: 0.0530 +2023-03-04 02:40:33,204 - mmseg - INFO - Iter [26100/160000] lr: 7.500e-05, eta: 7:34:10, time: 0.171, data_time: 0.007, memory: 52541, decode.loss_ce: 0.0537, decode.acc_seg: 97.7305, loss: 0.0537 +2023-03-04 02:40:41,621 - mmseg - INFO - Iter [26150/160000] lr: 7.500e-05, eta: 7:33:51, time: 0.168, data_time: 0.008, memory: 52541, decode.loss_ce: 0.0549, decode.acc_seg: 97.7284, loss: 0.0549 +2023-03-04 02:40:49,966 - mmseg - INFO - Iter [26200/160000] lr: 7.500e-05, eta: 7:33:31, time: 0.167, data_time: 0.008, memory: 52541, decode.loss_ce: 0.0528, decode.acc_seg: 97.7684, loss: 0.0528 +2023-03-04 02:40:58,121 - mmseg - INFO - Iter [26250/160000] lr: 7.500e-05, eta: 7:33:11, time: 0.163, data_time: 0.008, memory: 52541, decode.loss_ce: 0.0501, decode.acc_seg: 97.8672, loss: 0.0501 +2023-03-04 02:41:06,465 - mmseg - INFO - Iter [26300/160000] lr: 7.500e-05, eta: 7:32:51, time: 0.167, data_time: 0.008, memory: 52541, decode.loss_ce: 0.0522, decode.acc_seg: 97.8391, loss: 0.0522 +2023-03-04 02:41:14,590 - mmseg - INFO - Iter [26350/160000] lr: 7.500e-05, eta: 7:32:31, time: 0.163, data_time: 0.008, memory: 52541, decode.loss_ce: 0.0514, decode.acc_seg: 97.8300, loss: 0.0514 +2023-03-04 02:41:22,654 - mmseg - INFO - Iter [26400/160000] lr: 7.500e-05, eta: 7:32:10, time: 0.161, data_time: 0.008, memory: 52541, decode.loss_ce: 0.0526, decode.acc_seg: 97.7795, loss: 0.0526 +2023-03-04 02:41:31,055 - mmseg - INFO - Iter [26450/160000] lr: 7.500e-05, eta: 7:31:51, time: 0.168, data_time: 0.007, memory: 52541, decode.loss_ce: 0.0510, decode.acc_seg: 97.8602, loss: 0.0510 +2023-03-04 02:41:39,308 - mmseg - INFO - Iter [26500/160000] lr: 7.500e-05, eta: 7:31:31, time: 0.165, data_time: 0.007, memory: 52541, decode.loss_ce: 0.0531, decode.acc_seg: 97.8308, loss: 0.0531 +2023-03-04 02:41:50,152 - mmseg - INFO - Iter [26550/160000] lr: 7.500e-05, eta: 7:31:25, time: 0.217, data_time: 0.058, memory: 52541, decode.loss_ce: 0.0465, decode.acc_seg: 98.0163, loss: 0.0465 +2023-03-04 02:41:58,282 - mmseg - INFO - Iter [26600/160000] lr: 7.500e-05, eta: 7:31:05, time: 0.163, data_time: 0.007, memory: 52541, decode.loss_ce: 0.0512, decode.acc_seg: 97.8372, loss: 0.0512 +2023-03-04 02:42:07,030 - mmseg - INFO - Iter [26650/160000] lr: 7.500e-05, eta: 7:30:47, time: 0.175, data_time: 0.007, memory: 52541, decode.loss_ce: 0.0485, decode.acc_seg: 97.9536, loss: 0.0485 +2023-03-04 02:42:15,177 - mmseg - INFO - Iter [26700/160000] lr: 7.500e-05, eta: 7:30:27, time: 0.163, data_time: 0.008, memory: 52541, decode.loss_ce: 0.0497, decode.acc_seg: 97.8675, loss: 0.0497 +2023-03-04 02:42:23,405 - mmseg - INFO - Iter [26750/160000] lr: 7.500e-05, eta: 7:30:08, time: 0.165, data_time: 0.008, memory: 52541, decode.loss_ce: 0.0503, decode.acc_seg: 97.8972, loss: 0.0503 +2023-03-04 02:42:32,211 - mmseg - INFO - Iter [26800/160000] lr: 7.500e-05, eta: 7:29:51, time: 0.176, data_time: 0.007, memory: 52541, decode.loss_ce: 0.0496, decode.acc_seg: 97.8725, loss: 0.0496 +2023-03-04 02:42:40,932 - mmseg - INFO - Iter [26850/160000] lr: 7.500e-05, eta: 7:29:34, time: 0.175, data_time: 0.007, memory: 52541, decode.loss_ce: 0.0526, decode.acc_seg: 97.7978, loss: 0.0526 +2023-03-04 02:42:49,002 - mmseg - INFO - Iter [26900/160000] lr: 7.500e-05, eta: 7:29:13, time: 0.161, data_time: 0.008, memory: 52541, decode.loss_ce: 0.0510, decode.acc_seg: 97.8525, loss: 0.0510 +2023-03-04 02:42:57,532 - mmseg - INFO - Iter [26950/160000] lr: 7.500e-05, eta: 7:28:55, time: 0.171, data_time: 0.007, memory: 52541, decode.loss_ce: 0.0496, decode.acc_seg: 97.9003, loss: 0.0496 +2023-03-04 02:43:05,990 - mmseg - INFO - Exp name: ablation_segformer_mit_b2_segformer_head_unet_fc_small_multi_step_ade_pretrained_freeze_embed_160k_ade20k151_finetune_ema_wgt.py +2023-03-04 02:43:05,990 - mmseg - INFO - Iter [27000/160000] lr: 7.500e-05, eta: 7:28:37, time: 0.169, data_time: 0.007, memory: 52541, decode.loss_ce: 0.0502, decode.acc_seg: 97.8640, loss: 0.0502 +2023-03-04 02:43:14,090 - mmseg - INFO - Iter [27050/160000] lr: 7.500e-05, eta: 7:28:17, time: 0.162, data_time: 0.008, memory: 52541, decode.loss_ce: 0.0561, decode.acc_seg: 97.6639, loss: 0.0561 +2023-03-04 02:43:22,396 - mmseg - INFO - Iter [27100/160000] lr: 7.500e-05, eta: 7:27:58, time: 0.166, data_time: 0.007, memory: 52541, decode.loss_ce: 0.0508, decode.acc_seg: 97.8643, loss: 0.0508 +2023-03-04 02:43:33,095 - mmseg - INFO - Iter [27150/160000] lr: 7.500e-05, eta: 7:27:51, time: 0.214, data_time: 0.055, memory: 52541, decode.loss_ce: 0.0541, decode.acc_seg: 97.7104, loss: 0.0541 +2023-03-04 02:43:41,466 - mmseg - INFO - Iter [27200/160000] lr: 7.500e-05, eta: 7:27:32, time: 0.167, data_time: 0.008, memory: 52541, decode.loss_ce: 0.0497, decode.acc_seg: 97.9308, loss: 0.0497 +2023-03-04 02:43:50,073 - mmseg - INFO - Iter [27250/160000] lr: 7.500e-05, eta: 7:27:15, time: 0.172, data_time: 0.007, memory: 52541, decode.loss_ce: 0.0490, decode.acc_seg: 97.9389, loss: 0.0490 +2023-03-04 02:43:58,554 - mmseg - INFO - Iter [27300/160000] lr: 7.500e-05, eta: 7:26:57, time: 0.170, data_time: 0.009, memory: 52541, decode.loss_ce: 0.0470, decode.acc_seg: 98.0238, loss: 0.0470 +2023-03-04 02:44:06,718 - mmseg - INFO - Iter [27350/160000] lr: 7.500e-05, eta: 7:26:37, time: 0.163, data_time: 0.008, memory: 52541, decode.loss_ce: 0.0487, decode.acc_seg: 97.9066, loss: 0.0487 +2023-03-04 02:44:14,769 - mmseg - INFO - Iter [27400/160000] lr: 7.500e-05, eta: 7:26:17, time: 0.161, data_time: 0.008, memory: 52541, decode.loss_ce: 0.0525, decode.acc_seg: 97.8303, loss: 0.0525 +2023-03-04 02:44:23,107 - mmseg - INFO - Iter [27450/160000] lr: 7.500e-05, eta: 7:25:59, time: 0.167, data_time: 0.008, memory: 52541, decode.loss_ce: 0.0513, decode.acc_seg: 97.8491, loss: 0.0513 +2023-03-04 02:44:31,165 - mmseg - INFO - Iter [27500/160000] lr: 7.500e-05, eta: 7:25:39, time: 0.161, data_time: 0.008, memory: 52541, decode.loss_ce: 0.0499, decode.acc_seg: 97.9068, loss: 0.0499 +2023-03-04 02:44:39,368 - mmseg - INFO - Iter [27550/160000] lr: 7.500e-05, eta: 7:25:20, time: 0.164, data_time: 0.007, memory: 52541, decode.loss_ce: 0.0497, decode.acc_seg: 97.8431, loss: 0.0497 +2023-03-04 02:44:47,477 - mmseg - INFO - Iter [27600/160000] lr: 7.500e-05, eta: 7:25:00, time: 0.162, data_time: 0.007, memory: 52541, decode.loss_ce: 0.0507, decode.acc_seg: 97.8658, loss: 0.0507 +2023-03-04 02:44:55,862 - mmseg - INFO - Iter [27650/160000] lr: 7.500e-05, eta: 7:24:42, time: 0.168, data_time: 0.007, memory: 52541, decode.loss_ce: 0.0509, decode.acc_seg: 97.8649, loss: 0.0509 +2023-03-04 02:45:04,082 - mmseg - INFO - Iter [27700/160000] lr: 7.500e-05, eta: 7:24:23, time: 0.164, data_time: 0.007, memory: 52541, decode.loss_ce: 0.0503, decode.acc_seg: 97.8542, loss: 0.0503 +2023-03-04 02:45:12,367 - mmseg - INFO - Iter [27750/160000] lr: 7.500e-05, eta: 7:24:04, time: 0.166, data_time: 0.007, memory: 52541, decode.loss_ce: 0.0557, decode.acc_seg: 97.6391, loss: 0.0557 +2023-03-04 02:45:23,189 - mmseg - INFO - Iter [27800/160000] lr: 7.500e-05, eta: 7:23:58, time: 0.216, data_time: 0.056, memory: 52541, decode.loss_ce: 0.0474, decode.acc_seg: 97.9943, loss: 0.0474 +2023-03-04 02:45:31,771 - mmseg - INFO - Iter [27850/160000] lr: 7.500e-05, eta: 7:23:40, time: 0.171, data_time: 0.007, memory: 52541, decode.loss_ce: 0.0511, decode.acc_seg: 97.8226, loss: 0.0511 +2023-03-04 02:45:40,450 - mmseg - INFO - Iter [27900/160000] lr: 7.500e-05, eta: 7:23:24, time: 0.174, data_time: 0.007, memory: 52541, decode.loss_ce: 0.0508, decode.acc_seg: 97.8735, loss: 0.0508 +2023-03-04 02:45:48,879 - mmseg - INFO - Iter [27950/160000] lr: 7.500e-05, eta: 7:23:06, time: 0.169, data_time: 0.008, memory: 52541, decode.loss_ce: 0.0497, decode.acc_seg: 97.8918, loss: 0.0497 +2023-03-04 02:45:57,154 - mmseg - INFO - Exp name: ablation_segformer_mit_b2_segformer_head_unet_fc_small_multi_step_ade_pretrained_freeze_embed_160k_ade20k151_finetune_ema_wgt.py +2023-03-04 02:45:57,155 - mmseg - INFO - Iter [28000/160000] lr: 7.500e-05, eta: 7:22:48, time: 0.166, data_time: 0.007, memory: 52541, decode.loss_ce: 0.0538, decode.acc_seg: 97.7289, loss: 0.0538 +2023-03-04 02:46:05,156 - mmseg - INFO - Iter [28050/160000] lr: 7.500e-05, eta: 7:22:28, time: 0.160, data_time: 0.008, memory: 52541, decode.loss_ce: 0.0514, decode.acc_seg: 97.8104, loss: 0.0514 +2023-03-04 02:46:13,665 - mmseg - INFO - Iter [28100/160000] lr: 7.500e-05, eta: 7:22:10, time: 0.170, data_time: 0.008, memory: 52541, decode.loss_ce: 0.0535, decode.acc_seg: 97.7663, loss: 0.0535 +2023-03-04 02:46:22,209 - mmseg - INFO - Iter [28150/160000] lr: 7.500e-05, eta: 7:21:53, time: 0.171, data_time: 0.009, memory: 52541, decode.loss_ce: 0.0543, decode.acc_seg: 97.7352, loss: 0.0543 +2023-03-04 02:46:30,867 - mmseg - INFO - Iter [28200/160000] lr: 7.500e-05, eta: 7:21:37, time: 0.173, data_time: 0.007, memory: 52541, decode.loss_ce: 0.0548, decode.acc_seg: 97.7266, loss: 0.0548 +2023-03-04 02:46:39,266 - mmseg - INFO - Iter [28250/160000] lr: 7.500e-05, eta: 7:21:19, time: 0.168, data_time: 0.007, memory: 52541, decode.loss_ce: 0.0502, decode.acc_seg: 97.8932, loss: 0.0502 +2023-03-04 02:46:47,726 - mmseg - INFO - Iter [28300/160000] lr: 7.500e-05, eta: 7:21:01, time: 0.169, data_time: 0.008, memory: 52541, decode.loss_ce: 0.0537, decode.acc_seg: 97.7122, loss: 0.0537 +2023-03-04 02:46:56,601 - mmseg - INFO - Iter [28350/160000] lr: 7.500e-05, eta: 7:20:46, time: 0.177, data_time: 0.008, memory: 52541, decode.loss_ce: 0.0509, decode.acc_seg: 97.8149, loss: 0.0509 +2023-03-04 02:47:07,443 - mmseg - INFO - Iter [28400/160000] lr: 7.500e-05, eta: 7:20:40, time: 0.217, data_time: 0.054, memory: 52541, decode.loss_ce: 0.0476, decode.acc_seg: 97.9726, loss: 0.0476 +2023-03-04 02:47:15,464 - mmseg - INFO - Iter [28450/160000] lr: 7.500e-05, eta: 7:20:20, time: 0.160, data_time: 0.007, memory: 52541, decode.loss_ce: 0.0525, decode.acc_seg: 97.8018, loss: 0.0525 +2023-03-04 02:47:23,814 - mmseg - INFO - Iter [28500/160000] lr: 7.500e-05, eta: 7:20:02, time: 0.167, data_time: 0.007, memory: 52541, decode.loss_ce: 0.0505, decode.acc_seg: 97.8687, loss: 0.0505 +2023-03-04 02:47:32,083 - mmseg - INFO - Iter [28550/160000] lr: 7.500e-05, eta: 7:19:44, time: 0.165, data_time: 0.007, memory: 52541, decode.loss_ce: 0.0494, decode.acc_seg: 97.9334, loss: 0.0494 +2023-03-04 02:47:40,243 - mmseg - INFO - Iter [28600/160000] lr: 7.500e-05, eta: 7:19:25, time: 0.163, data_time: 0.008, memory: 52541, decode.loss_ce: 0.0526, decode.acc_seg: 97.8145, loss: 0.0526 +2023-03-04 02:47:48,374 - mmseg - INFO - Iter [28650/160000] lr: 7.500e-05, eta: 7:19:07, time: 0.163, data_time: 0.008, memory: 52541, decode.loss_ce: 0.0463, decode.acc_seg: 98.0480, loss: 0.0463 +2023-03-04 02:47:57,109 - mmseg - INFO - Iter [28700/160000] lr: 7.500e-05, eta: 7:18:51, time: 0.175, data_time: 0.008, memory: 52541, decode.loss_ce: 0.0529, decode.acc_seg: 97.7659, loss: 0.0529 +2023-03-04 02:48:05,516 - mmseg - INFO - Iter [28750/160000] lr: 7.500e-05, eta: 7:18:33, time: 0.168, data_time: 0.008, memory: 52541, decode.loss_ce: 0.0520, decode.acc_seg: 97.8303, loss: 0.0520 +2023-03-04 02:48:13,752 - mmseg - INFO - Iter [28800/160000] lr: 7.500e-05, eta: 7:18:15, time: 0.165, data_time: 0.008, memory: 52541, decode.loss_ce: 0.0507, decode.acc_seg: 97.8729, loss: 0.0507 +2023-03-04 02:48:22,081 - mmseg - INFO - Iter [28850/160000] lr: 7.500e-05, eta: 7:17:57, time: 0.166, data_time: 0.008, memory: 52541, decode.loss_ce: 0.0519, decode.acc_seg: 97.8275, loss: 0.0519 +2023-03-04 02:48:30,601 - mmseg - INFO - Iter [28900/160000] lr: 7.500e-05, eta: 7:17:41, time: 0.171, data_time: 0.008, memory: 52541, decode.loss_ce: 0.0488, decode.acc_seg: 97.9366, loss: 0.0488 +2023-03-04 02:48:38,903 - mmseg - INFO - Iter [28950/160000] lr: 7.500e-05, eta: 7:17:23, time: 0.166, data_time: 0.008, memory: 52541, decode.loss_ce: 0.0522, decode.acc_seg: 97.8001, loss: 0.0522 +2023-03-04 02:48:47,155 - mmseg - INFO - Exp name: ablation_segformer_mit_b2_segformer_head_unet_fc_small_multi_step_ade_pretrained_freeze_embed_160k_ade20k151_finetune_ema_wgt.py +2023-03-04 02:48:47,156 - mmseg - INFO - Iter [29000/160000] lr: 7.500e-05, eta: 7:17:05, time: 0.165, data_time: 0.008, memory: 52541, decode.loss_ce: 0.0517, decode.acc_seg: 97.8314, loss: 0.0517 +2023-03-04 02:48:58,018 - mmseg - INFO - Iter [29050/160000] lr: 7.500e-05, eta: 7:16:59, time: 0.217, data_time: 0.055, memory: 52541, decode.loss_ce: 0.0500, decode.acc_seg: 97.8691, loss: 0.0500 +2023-03-04 02:49:06,554 - mmseg - INFO - Iter [29100/160000] lr: 7.500e-05, eta: 7:16:42, time: 0.171, data_time: 0.007, memory: 52541, decode.loss_ce: 0.0509, decode.acc_seg: 97.8548, loss: 0.0509 +2023-03-04 02:49:14,905 - mmseg - INFO - Iter [29150/160000] lr: 7.500e-05, eta: 7:16:25, time: 0.167, data_time: 0.008, memory: 52541, decode.loss_ce: 0.0497, decode.acc_seg: 97.8948, loss: 0.0497 +2023-03-04 02:49:23,773 - mmseg - INFO - Iter [29200/160000] lr: 7.500e-05, eta: 7:16:10, time: 0.177, data_time: 0.008, memory: 52541, decode.loss_ce: 0.0518, decode.acc_seg: 97.8299, loss: 0.0518 +2023-03-04 02:49:32,840 - mmseg - INFO - Iter [29250/160000] lr: 7.500e-05, eta: 7:15:55, time: 0.181, data_time: 0.007, memory: 52541, decode.loss_ce: 0.0507, decode.acc_seg: 97.8723, loss: 0.0507 +2023-03-04 02:49:41,187 - mmseg - INFO - Iter [29300/160000] lr: 7.500e-05, eta: 7:15:38, time: 0.167, data_time: 0.007, memory: 52541, decode.loss_ce: 0.0534, decode.acc_seg: 97.7420, loss: 0.0534 +2023-03-04 02:49:49,611 - mmseg - INFO - Iter [29350/160000] lr: 7.500e-05, eta: 7:15:21, time: 0.168, data_time: 0.007, memory: 52541, decode.loss_ce: 0.0512, decode.acc_seg: 97.8487, loss: 0.0512 +2023-03-04 02:49:58,067 - mmseg - INFO - Iter [29400/160000] lr: 7.500e-05, eta: 7:15:04, time: 0.169, data_time: 0.007, memory: 52541, decode.loss_ce: 0.0500, decode.acc_seg: 97.8863, loss: 0.0500 +2023-03-04 02:50:06,328 - mmseg - INFO - Iter [29450/160000] lr: 7.500e-05, eta: 7:14:46, time: 0.166, data_time: 0.008, memory: 52541, decode.loss_ce: 0.0529, decode.acc_seg: 97.7659, loss: 0.0529 +2023-03-04 02:50:14,675 - mmseg - INFO - Iter [29500/160000] lr: 7.500e-05, eta: 7:14:29, time: 0.167, data_time: 0.008, memory: 52541, decode.loss_ce: 0.0471, decode.acc_seg: 98.0094, loss: 0.0471 +2023-03-04 02:50:23,157 - mmseg - INFO - Iter [29550/160000] lr: 7.500e-05, eta: 7:14:13, time: 0.170, data_time: 0.008, memory: 52541, decode.loss_ce: 0.0531, decode.acc_seg: 97.7501, loss: 0.0531 +2023-03-04 02:50:31,814 - mmseg - INFO - Iter [29600/160000] lr: 7.500e-05, eta: 7:13:57, time: 0.173, data_time: 0.007, memory: 52541, decode.loss_ce: 0.0523, decode.acc_seg: 97.8008, loss: 0.0523 +2023-03-04 02:50:40,023 - mmseg - INFO - Iter [29650/160000] lr: 7.500e-05, eta: 7:13:39, time: 0.164, data_time: 0.008, memory: 52541, decode.loss_ce: 0.0526, decode.acc_seg: 97.8072, loss: 0.0526 +2023-03-04 02:50:50,589 - mmseg - INFO - Iter [29700/160000] lr: 7.500e-05, eta: 7:13:32, time: 0.211, data_time: 0.055, memory: 52541, decode.loss_ce: 0.0513, decode.acc_seg: 97.8659, loss: 0.0513 +2023-03-04 02:50:58,686 - mmseg - INFO - Iter [29750/160000] lr: 7.500e-05, eta: 7:13:13, time: 0.162, data_time: 0.008, memory: 52541, decode.loss_ce: 0.0517, decode.acc_seg: 97.8239, loss: 0.0517 +2023-03-04 02:51:07,077 - mmseg - INFO - Iter [29800/160000] lr: 7.500e-05, eta: 7:12:56, time: 0.168, data_time: 0.008, memory: 52541, decode.loss_ce: 0.0508, decode.acc_seg: 97.8672, loss: 0.0508 +2023-03-04 02:51:15,238 - mmseg - INFO - Iter [29850/160000] lr: 7.500e-05, eta: 7:12:38, time: 0.163, data_time: 0.007, memory: 52541, decode.loss_ce: 0.0515, decode.acc_seg: 97.8441, loss: 0.0515 +2023-03-04 02:51:23,516 - mmseg - INFO - Iter [29900/160000] lr: 7.500e-05, eta: 7:12:21, time: 0.166, data_time: 0.008, memory: 52541, decode.loss_ce: 0.0490, decode.acc_seg: 97.9310, loss: 0.0490 +2023-03-04 02:51:32,010 - mmseg - INFO - Iter [29950/160000] lr: 7.500e-05, eta: 7:12:05, time: 0.170, data_time: 0.008, memory: 52541, decode.loss_ce: 0.0522, decode.acc_seg: 97.8204, loss: 0.0522 +2023-03-04 02:51:40,729 - mmseg - INFO - Exp name: ablation_segformer_mit_b2_segformer_head_unet_fc_small_multi_step_ade_pretrained_freeze_embed_160k_ade20k151_finetune_ema_wgt.py +2023-03-04 02:51:40,730 - mmseg - INFO - Iter [30000/160000] lr: 7.500e-05, eta: 7:11:49, time: 0.174, data_time: 0.007, memory: 52541, decode.loss_ce: 0.0488, decode.acc_seg: 97.9147, loss: 0.0488 +2023-03-04 02:51:48,890 - mmseg - INFO - Iter [30050/160000] lr: 7.500e-05, eta: 7:11:32, time: 0.163, data_time: 0.008, memory: 52541, decode.loss_ce: 0.0462, decode.acc_seg: 98.0247, loss: 0.0462 +2023-03-04 02:51:57,531 - mmseg - INFO - Iter [30100/160000] lr: 7.500e-05, eta: 7:11:16, time: 0.173, data_time: 0.008, memory: 52541, decode.loss_ce: 0.0472, decode.acc_seg: 97.9903, loss: 0.0472 +2023-03-04 02:52:05,920 - mmseg - INFO - Iter [30150/160000] lr: 7.500e-05, eta: 7:10:59, time: 0.168, data_time: 0.008, memory: 52541, decode.loss_ce: 0.0500, decode.acc_seg: 97.8726, loss: 0.0500 +2023-03-04 02:52:14,631 - mmseg - INFO - Iter [30200/160000] lr: 7.500e-05, eta: 7:10:44, time: 0.174, data_time: 0.008, memory: 52541, decode.loss_ce: 0.0507, decode.acc_seg: 97.8520, loss: 0.0507 +2023-03-04 02:52:22,926 - mmseg - INFO - Iter [30250/160000] lr: 7.500e-05, eta: 7:10:27, time: 0.166, data_time: 0.008, memory: 52541, decode.loss_ce: 0.0526, decode.acc_seg: 97.7932, loss: 0.0526 +2023-03-04 02:52:33,997 - mmseg - INFO - Iter [30300/160000] lr: 7.500e-05, eta: 7:10:22, time: 0.221, data_time: 0.055, memory: 52541, decode.loss_ce: 0.0469, decode.acc_seg: 97.9870, loss: 0.0469 +2023-03-04 02:52:42,180 - mmseg - INFO - Iter [30350/160000] lr: 7.500e-05, eta: 7:10:04, time: 0.164, data_time: 0.008, memory: 52541, decode.loss_ce: 0.0560, decode.acc_seg: 97.7069, loss: 0.0560 +2023-03-04 02:52:50,328 - mmseg - INFO - Iter [30400/160000] lr: 7.500e-05, eta: 7:09:46, time: 0.163, data_time: 0.008, memory: 52541, decode.loss_ce: 0.0514, decode.acc_seg: 97.8373, loss: 0.0514 +2023-03-04 02:52:58,520 - mmseg - INFO - Iter [30450/160000] lr: 7.500e-05, eta: 7:09:29, time: 0.164, data_time: 0.007, memory: 52541, decode.loss_ce: 0.0520, decode.acc_seg: 97.7989, loss: 0.0520 +2023-03-04 02:53:06,642 - mmseg - INFO - Iter [30500/160000] lr: 7.500e-05, eta: 7:09:11, time: 0.162, data_time: 0.008, memory: 52541, decode.loss_ce: 0.0512, decode.acc_seg: 97.8633, loss: 0.0512 +2023-03-04 02:53:14,840 - mmseg - INFO - Iter [30550/160000] lr: 7.500e-05, eta: 7:08:54, time: 0.164, data_time: 0.007, memory: 52541, decode.loss_ce: 0.0477, decode.acc_seg: 97.9939, loss: 0.0477 +2023-03-04 02:53:23,405 - mmseg - INFO - Iter [30600/160000] lr: 7.500e-05, eta: 7:08:38, time: 0.171, data_time: 0.007, memory: 52541, decode.loss_ce: 0.0514, decode.acc_seg: 97.8311, loss: 0.0514 +2023-03-04 02:53:31,766 - mmseg - INFO - Iter [30650/160000] lr: 7.500e-05, eta: 7:08:22, time: 0.167, data_time: 0.008, memory: 52541, decode.loss_ce: 0.0496, decode.acc_seg: 97.8967, loss: 0.0496 +2023-03-04 02:53:40,049 - mmseg - INFO - Iter [30700/160000] lr: 7.500e-05, eta: 7:08:05, time: 0.166, data_time: 0.008, memory: 52541, decode.loss_ce: 0.0535, decode.acc_seg: 97.7664, loss: 0.0535 +2023-03-04 02:53:48,486 - mmseg - INFO - Iter [30750/160000] lr: 7.500e-05, eta: 7:07:49, time: 0.169, data_time: 0.007, memory: 52541, decode.loss_ce: 0.0496, decode.acc_seg: 97.8971, loss: 0.0496 +2023-03-04 02:53:56,910 - mmseg - INFO - Iter [30800/160000] lr: 7.500e-05, eta: 7:07:32, time: 0.168, data_time: 0.007, memory: 52541, decode.loss_ce: 0.0516, decode.acc_seg: 97.7807, loss: 0.0516 +2023-03-04 02:54:04,977 - mmseg - INFO - Iter [30850/160000] lr: 7.500e-05, eta: 7:07:15, time: 0.161, data_time: 0.008, memory: 52541, decode.loss_ce: 0.0485, decode.acc_seg: 97.9528, loss: 0.0485 +2023-03-04 02:54:13,200 - mmseg - INFO - Iter [30900/160000] lr: 7.500e-05, eta: 7:06:58, time: 0.164, data_time: 0.007, memory: 52541, decode.loss_ce: 0.0496, decode.acc_seg: 97.9294, loss: 0.0496 +2023-03-04 02:54:24,179 - mmseg - INFO - Iter [30950/160000] lr: 7.500e-05, eta: 7:06:52, time: 0.220, data_time: 0.056, memory: 52541, decode.loss_ce: 0.0504, decode.acc_seg: 97.8603, loss: 0.0504 +2023-03-04 02:54:32,904 - mmseg - INFO - Exp name: ablation_segformer_mit_b2_segformer_head_unet_fc_small_multi_step_ade_pretrained_freeze_embed_160k_ade20k151_finetune_ema_wgt.py +2023-03-04 02:54:32,904 - mmseg - INFO - Iter [31000/160000] lr: 7.500e-05, eta: 7:06:37, time: 0.175, data_time: 0.007, memory: 52541, decode.loss_ce: 0.0498, decode.acc_seg: 97.8879, loss: 0.0498 +2023-03-04 02:54:41,454 - mmseg - INFO - Iter [31050/160000] lr: 7.500e-05, eta: 7:06:21, time: 0.171, data_time: 0.007, memory: 52541, decode.loss_ce: 0.0488, decode.acc_seg: 97.9088, loss: 0.0488 +2023-03-04 02:54:49,762 - mmseg - INFO - Iter [31100/160000] lr: 7.500e-05, eta: 7:06:05, time: 0.166, data_time: 0.008, memory: 52541, decode.loss_ce: 0.0485, decode.acc_seg: 97.9272, loss: 0.0485 +2023-03-04 02:54:57,978 - mmseg - INFO - Iter [31150/160000] lr: 7.500e-05, eta: 7:05:48, time: 0.164, data_time: 0.007, memory: 52541, decode.loss_ce: 0.0473, decode.acc_seg: 97.9913, loss: 0.0473 +2023-03-04 02:55:06,390 - mmseg - INFO - Iter [31200/160000] lr: 7.500e-05, eta: 7:05:32, time: 0.168, data_time: 0.007, memory: 52541, decode.loss_ce: 0.0483, decode.acc_seg: 97.9483, loss: 0.0483 +2023-03-04 02:55:14,524 - mmseg - INFO - Iter [31250/160000] lr: 7.500e-05, eta: 7:05:15, time: 0.163, data_time: 0.008, memory: 52541, decode.loss_ce: 0.0496, decode.acc_seg: 97.9385, loss: 0.0496 +2023-03-04 02:55:22,878 - mmseg - INFO - Iter [31300/160000] lr: 7.500e-05, eta: 7:04:58, time: 0.167, data_time: 0.007, memory: 52541, decode.loss_ce: 0.0497, decode.acc_seg: 97.9609, loss: 0.0497 +2023-03-04 02:55:31,469 - mmseg - INFO - Iter [31350/160000] lr: 7.500e-05, eta: 7:04:43, time: 0.172, data_time: 0.008, memory: 52541, decode.loss_ce: 0.0502, decode.acc_seg: 97.8733, loss: 0.0502 +2023-03-04 02:55:40,151 - mmseg - INFO - Iter [31400/160000] lr: 7.500e-05, eta: 7:04:28, time: 0.173, data_time: 0.007, memory: 52541, decode.loss_ce: 0.0529, decode.acc_seg: 97.7723, loss: 0.0529 +2023-03-04 02:55:49,045 - mmseg - INFO - Iter [31450/160000] lr: 7.500e-05, eta: 7:04:14, time: 0.178, data_time: 0.009, memory: 52541, decode.loss_ce: 0.0522, decode.acc_seg: 97.8331, loss: 0.0522 +2023-03-04 02:55:57,435 - mmseg - INFO - Iter [31500/160000] lr: 7.500e-05, eta: 7:03:58, time: 0.168, data_time: 0.007, memory: 52541, decode.loss_ce: 0.0520, decode.acc_seg: 97.8093, loss: 0.0520 +2023-03-04 02:56:05,475 - mmseg - INFO - Iter [31550/160000] lr: 7.500e-05, eta: 7:03:41, time: 0.161, data_time: 0.007, memory: 52541, decode.loss_ce: 0.0499, decode.acc_seg: 97.8976, loss: 0.0499 +2023-03-04 02:56:16,469 - mmseg - INFO - Iter [31600/160000] lr: 7.500e-05, eta: 7:03:35, time: 0.220, data_time: 0.052, memory: 52541, decode.loss_ce: 0.0492, decode.acc_seg: 97.9228, loss: 0.0492 +2023-03-04 02:56:24,988 - mmseg - INFO - Iter [31650/160000] lr: 7.500e-05, eta: 7:03:20, time: 0.170, data_time: 0.008, memory: 52541, decode.loss_ce: 0.0495, decode.acc_seg: 97.8645, loss: 0.0495 +2023-03-04 02:56:33,685 - mmseg - INFO - Iter [31700/160000] lr: 7.500e-05, eta: 7:03:05, time: 0.174, data_time: 0.008, memory: 52541, decode.loss_ce: 0.0514, decode.acc_seg: 97.8283, loss: 0.0514 +2023-03-04 02:56:41,793 - mmseg - INFO - Iter [31750/160000] lr: 7.500e-05, eta: 7:02:48, time: 0.162, data_time: 0.008, memory: 52541, decode.loss_ce: 0.0510, decode.acc_seg: 97.8290, loss: 0.0510 +2023-03-04 02:56:49,923 - mmseg - INFO - Iter [31800/160000] lr: 7.500e-05, eta: 7:02:31, time: 0.163, data_time: 0.008, memory: 52541, decode.loss_ce: 0.0507, decode.acc_seg: 97.8566, loss: 0.0507 +2023-03-04 02:56:58,494 - mmseg - INFO - Iter [31850/160000] lr: 7.500e-05, eta: 7:02:16, time: 0.171, data_time: 0.007, memory: 52541, decode.loss_ce: 0.0511, decode.acc_seg: 97.8582, loss: 0.0511 +2023-03-04 02:57:06,932 - mmseg - INFO - Iter [31900/160000] lr: 7.500e-05, eta: 7:02:00, time: 0.169, data_time: 0.007, memory: 52541, decode.loss_ce: 0.0481, decode.acc_seg: 97.9841, loss: 0.0481 +2023-03-04 02:57:15,164 - mmseg - INFO - Iter [31950/160000] lr: 7.500e-05, eta: 7:01:43, time: 0.165, data_time: 0.008, memory: 52541, decode.loss_ce: 0.0495, decode.acc_seg: 97.9392, loss: 0.0495 +2023-03-04 02:57:23,265 - mmseg - INFO - Swap parameters (after train) after iter [32000] +2023-03-04 02:57:23,279 - mmseg - INFO - Saving checkpoint at 32000 iterations +2023-03-04 02:57:24,367 - mmseg - INFO - Exp name: ablation_segformer_mit_b2_segformer_head_unet_fc_small_multi_step_ade_pretrained_freeze_embed_160k_ade20k151_finetune_ema_wgt.py +2023-03-04 02:57:24,368 - mmseg - INFO - Iter [32000/160000] lr: 7.500e-05, eta: 7:01:31, time: 0.184, data_time: 0.007, memory: 52541, decode.loss_ce: 0.0517, decode.acc_seg: 97.8270, loss: 0.0517 +2023-03-04 03:08:02,572 - mmseg - INFO - per class results: +2023-03-04 03:08:02,581 - mmseg - INFO - ++---------------------+-------------------------------------------------------------------+ +| Class | IoU 0,10,20,30,40,50,60,70,80,90,99 | ++---------------------+-------------------------------------------------------------------+ +| background | nan,nan,nan,nan,nan,nan,nan,nan,nan,nan,nan | +| wall | 76.76,76.34,74.93,72.3,68.86,65.16,61.73,58.94,56.81,55.23,54.25 | +| building | 81.2,81.06,80.53,79.38,77.41,74.73,71.92,69.54,67.75,66.52,65.88 | +| sky | 94.36,94.12,93.77,92.84,90.98,88.35,85.46,82.89,80.88,79.41,78.54 | +| floor | 81.35,80.81,79.98,77.96,74.92,71.18,67.35,63.93,61.26,59.34,58.23 | +| tree | 73.45,72.19,70.74,67.87,63.23,57.7,52.45,48.42,45.5,43.44,42.15 | +| ceiling | 84.37,84.71,82.56,78.19,72.35,66.2,60.63,56.09,52.38,49.37,47.26 | +| road | 81.39,81.09,80.03,77.96,75.47,72.98,70.78,68.83,67.35,66.29,65.66 | +| bed | 87.05,87.65,87.08,85.39,82.44,78.33,73.98,69.93,66.6,64.19,62.76 | +| windowpane | 59.59,59.55,58.04,55.78,52.96,49.96,47.1,44.65,42.58,41.03,40.09 | +| grass | 66.34,66.46,65.58,63.81,61.26,58.93,56.8,55.18,53.92,52.89,52.29 | +| cabinet | 59.57,60.0,59.05,57.69,55.82,53.4,50.82,48.45,46.61,45.26,44.55 | +| sidewalk | 62.8,61.95,59.16,54.72,50.09,46.42,43.78,41.98,40.77,39.85,39.31 | +| person | 78.37,78.42,77.36,75.14,71.37,66.26,60.63,55.39,51.19,48.05,46.26 | +| earth | 35.36,35.97,35.7,35.29,34.57,33.62,32.61,31.75,31.23,30.84,30.64 | +| door | 44.77,44.54,43.07,40.25,37.41,34.49,31.88,29.63,27.97,26.8,26.27 | +| table | 58.34,59.66,58.44,55.96,52.22,47.57,42.68,38.23,34.81,32.27,30.87 | +| mountain | 55.65,56.52,56.31,55.56,53.94,51.91,49.93,48.28,46.93,46.02,45.43 | +| plant | 50.39,49.13,48.16,46.51,44.0,41.04,38.26,35.94,34.23,32.96,32.18 | +| curtain | 72.91,73.15,71.57,67.93,62.99,57.32,51.98,47.58,44.21,41.82,40.31 | +| chair | 54.32,54.82,54.3,52.6,49.79,45.92,41.48,37.15,33.49,30.87,29.36 | +| car | 80.81,81.33,81.08,79.38,76.48,72.23,67.24,62.21,58.27,55.48,54.04 | +| water | 56.37,56.79,56.72,56.18,55.23,54.0,52.79,51.77,50.87,50.13,49.69 | +| painting | 69.83,70.16,69.52,68.18,66.53,64.42,62.35,60.59,59.03,57.73,56.82 | +| sofa | 62.17,63.88,63.71,63.1,61.78,59.81,56.97,53.79,50.92,48.55,46.99 | +| shelf | 44.17,43.01,41.69,39.84,37.53,35.29,32.7,30.64,29.09,27.89,27.28 | +| house | 40.3,37.18,37.02,36.66,36.01,35.46,34.85,34.27,33.8,33.42,33.13 | +| sea | 59.44,60.51,60.81,60.32,59.05,57.72,56.5,55.4,54.48,53.62,53.1 | +| mirror | 62.87,64.67,63.81,62.49,60.62,57.99,55.17,52.17,49.26,46.57,44.56 | +| rug | 64.35,64.62,64.45,62.35,59.55,55.71,51.67,47.88,44.57,41.85,40.14 | +| field | 30.38,31.0,30.83,30.76,30.51,30.18,29.95,29.74,29.55,29.36,29.22 | +| armchair | 35.55,37.01,37.0,36.75,35.8,34.03,31.63,29.08,26.73,24.9,23.73 | +| seat | 65.48,66.21,65.99,64.54,61.81,58.82,56.23,53.88,52.08,50.8,49.94 | +| fence | 38.59,37.33,36.78,34.77,32.11,29.49,27.23,25.92,24.99,24.1,23.88 | +| desk | 46.17,47.28,47.18,45.68,43.7,41.06,38.17,35.87,34.04,32.59,31.71 | +| rock | 36.63,36.37,35.55,34.44,32.97,31.19,29.37,27.96,27.22,26.65,26.31 | +| wardrobe | 54.7,55.09,54.93,53.31,51.49,49.59,47.88,46.26,45.0,44.1,43.45 | +| lamp | 59.04,58.81,58.47,57.25,55.24,52.3,48.04,43.4,39.1,35.72,33.4 | +| bathtub | 72.82,72.7,71.8,70.31,68.67,65.94,62.87,59.68,56.44,53.59,52.02 | +| railing | 33.23,33.96,33.63,32.03,29.21,26.37,23.9,21.93,20.58,19.8,19.45 | +| cushion | 51.49,52.17,52.39,51.87,51.06,49.1,46.42,42.42,37.21,32.61,29.61 | +| base | 21.77,22.44,21.44,20.25,19.31,18.09,16.75,15.55,14.95,14.62,14.43 | +| box | 21.29,20.65,20.76,20.44,19.86,19.17,17.98,16.54,15.16,14.15,13.48 | +| column | 44.57,46.34,45.4,43.23,39.52,35.19,31.11,27.75,24.95,22.92,22.02 | +| signboard | 36.72,36.38,36.17,35.05,33.28,30.66,27.93,25.25,22.89,21.0,19.95 | +| chest of drawers | 36.07,37.09,36.71,36.22,35.62,34.75,34.22,33.41,32.44,31.53,30.85 | +| counter | 31.56,34.24,34.69,33.98,32.32,30.4,28.53,26.75,25.18,23.86,23.0 | +| sand | 40.82,39.51,39.96,39.77,39.63,39.65,39.68,39.54,39.09,38.61,38.35 | +| sink | 65.89,66.31,66.12,64.15,61.1,57.27,52.5,47.23,42.0,37.97,35.48 | +| skyscraper | 47.73,48.12,48.01,47.34,46.58,45.68,44.54,43.33,42.18,41.34,40.49 | +| fireplace | 72.53,75.87,75.13,74.46,72.31,69.91,66.95,63.9,60.91,58.45,56.73 | +| refrigerator | 73.0,74.6,73.35,72.13,69.79,66.61,63.31,60.7,58.57,56.47,54.95 | +| grandstand | 49.06,50.99,53.25,54.52,54.34,53.01,52.29,51.23,50.13,49.11,48.46 | +| path | 21.55,21.32,22.12,21.49,19.63,17.66,16.03,15.13,14.53,14.05,13.62 | +| stairs | 35.39,34.04,34.11,32.72,30.82,28.29,26.13,24.27,22.8,21.86,21.42 | +| runway | 64.55,63.06,62.99,62.56,61.76,60.85,60.41,59.87,59.32,58.98,58.81 | +| case | 45.33,44.22,43.02,42.15,40.41,38.97,37.98,37.06,36.28,36.01,36.02 | +| pool table | 91.19,91.17,90.38,88.45,85.53,81.41,76.53,71.47,66.63,62.31,59.89 | +| pillow | 55.86,56.69,56.72,55.18,52.22,47.56,41.8,35.36,29.1,24.34,21.6 | +| screen door | 68.73,67.69,66.23,63.27,59.52,55.1,50.74,47.0,43.66,40.9,39.03 | +| stairway | 23.99,23.39,23.17,22.8,21.71,20.4,18.97,17.7,16.7,16.25,15.97 | +| river | 11.66,11.62,11.64,11.39,11.19,10.99,10.76,10.55,10.36,10.22,10.13 | +| bridge | 30.28,28.49,29.03,27.98,26.62,25.12,23.39,22.08,21.39,20.79,20.36 | +| bookcase | 44.49,44.03,43.49,41.83,39.6,36.56,33.07,30.14,27.57,25.63,24.57 | +| blind | 36.0,36.15,35.13,34.84,34.2,33.74,33.29,33.0,32.77,32.49,32.14 | +| coffee table | 52.53,54.61,54.8,54.2,52.17,48.64,44.52,40.79,37.3,34.61,32.8 | +| toilet | 81.57,82.73,82.49,81.44,79.18,76.24,72.72,69.14,65.47,62.29,60.16 | +| flower | 39.01,37.19,36.64,34.65,31.29,27.56,23.88,20.59,18.17,16.45,15.32 | +| book | 42.27,42.86,42.79,41.32,39.65,36.76,33.97,32.08,30.47,29.46,28.91 | +| hill | 12.97,14.4,14.5,13.8,13.06,12.65,12.06,11.3,10.42,9.72,9.34 | +| bench | 39.34,40.83,40.73,39.82,38.44,36.52,34.91,33.44,32.07,31.04,30.39 | +| countertop | 50.7,50.81,51.11,50.47,47.86,44.4,39.83,35.83,33.16,30.95,29.44 | +| stove | 69.89,70.27,69.93,68.12,65.73,62.77,59.69,56.1,53.18,50.8,49.43 | +| palm | 47.97,48.54,46.82,44.88,42.3,39.42,37.04,34.41,31.85,29.6,28.43 | +| kitchen island | 38.23,38.15,37.43,36.55,36.35,35.19,34.06,32.77,31.2,29.91,28.89 | +| computer | 57.79,57.85,57.34,55.95,54.4,52.87,50.65,48.72,46.84,45.23,44.06 | +| swivel chair | 43.22,45.12,45.77,44.92,43.97,41.7,38.7,35.29,32.35,29.66,27.71 | +| boat | 69.29,71.67,72.34,69.86,66.37,62.92,59.85,56.9,54.37,52.14,50.7 | +| bar | 21.97,22.97,22.66,22.56,21.84,20.64,19.34,18.48,17.86,17.46,17.25 | +| arcade machine | 68.07,66.94,65.58,61.53,56.61,51.38,45.33,39.93,35.7,31.84,29.41 | +| hovel | 24.97,23.16,22.44,21.64,20.61,19.72,18.75,17.82,17.02,16.54,16.02 | +| bus | 78.16,81.93,82.33,81.23,79.84,77.8,75.11,72.65,71.02,69.76,68.88 | +| towel | 59.29,58.53,58.22,56.22,51.85,47.74,43.43,38.21,34.37,31.47,29.82 | +| light | 46.78,52.13,53.29,52.28,50.81,48.66,46.11,42.8,39.15,36.63,34.16 | +| truck | 13.81,15.49,15.93,15.85,16.39,15.87,15.47,14.56,13.01,11.7,10.81 | +| tower | 8.29,9.33,8.09,7.45,6.47,5.69,4.95,4.65,4.21,3.78,3.55 | +| chandelier | 61.93,62.93,63.31,61.6,59.65,56.42,52.24,47.4,42.6,38.71,35.4 | +| awning | 18.97,23.13,23.78,22.42,20.99,18.04,15.46,12.31,9.69,8.18,7.58 | +| streetlight | 21.56,23.28,24.62,24.33,22.52,21.07,18.33,15.49,13.42,12.11,11.25 | +| booth | 37.86,35.86,35.52,35.29,34.17,33.27,32.4,31.61,30.86,30.29,30.08 | +| television receiver | 63.44,60.57,61.51,59.46,56.9,53.82,51.28,48.54,45.94,43.18,41.43 | +| airplane | 55.35,55.39,54.77,52.38,49.54,45.96,42.44,39.75,36.78,34.16,33.1 | +| dirt track | 7.09,5.38,6.06,4.97,4.66,4.79,4.74,4.89,5.32,5.53,5.81 | +| apparel | 31.74,29.2,27.7,26.76,24.73,23.87,22.03,20.74,19.83,19.21,18.55 | +| pole | 14.6,15.39,15.43,15.8,13.93,12.0,11.01,10.1,9.18,8.25,7.43 | +| land | 3.01,3.55,4.04,4.61,5.06,5.92,6.73,7.44,7.65,7.56,7.5 | +| bannister | 9.24,9.05,9.03,9.21,8.62,8.16,6.86,5.49,4.59,4.23,3.95 | +| escalator | 21.82,20.95,20.9,20.4,19.62,19.19,18.82,18.32,17.76,17.05,16.34 | +| ottoman | 42.52,45.81,44.25,43.7,42.18,39.96,37.71,34.76,31.61,28.45,26.22 | +| bottle | 30.99,32.45,33.02,32.13,31.2,30.08,28.56,27.28,25.68,24.49,23.93 | +| buffet | 33.52,36.11,36.71,36.13,35.23,34.35,33.36,32.24,31.31,30.67,30.28 | +| poster | 22.24,24.11,25.63,25.45,25.41,25.2,24.86,24.38,23.65,22.79,22.62 | +| stage | 13.71,15.44,15.2,14.04,13.2,12.34,12.03,11.39,11.36,11.49,11.5 | +| van | 39.77,42.48,41.33,40.34,38.72,36.45,33.56,31.63,30.17,29.34,28.48 | +| ship | 79.15,79.08,80.8,80.43,79.79,78.54,77.67,77.24,76.92,76.93,77.49 | +| fountain | 15.92,11.3,9.13,8.37,7.04,6.25,5.68,5.03,4.24,3.26,2.68 | +| conveyer belt | 80.85,83.97,83.64,81.36,79.36,77.12,74.68,72.47,71.0,69.7,68.0 | +| canopy | 20.18,24.93,23.69,21.88,19.62,17.25,15.28,13.92,13.05,12.49,11.84 | +| washer | 77.93,74.08,73.18,72.19,71.28,69.66,68.44,67.65,67.04,66.95,66.96 | +| plaything | 19.24,20.4,21.13,20.4,18.13,16.56,14.33,12.71,11.33,10.05,9.39 | +| swimming pool | 72.51,71.85,71.61,70.94,71.1,71.17,71.0,69.81,67.01,64.72,62.79 | +| stool | 38.77,42.05,42.24,41.37,37.78,32.71,28.1,23.75,20.6,18.66,17.57 | +| barrel | 40.32,44.99,46.81,40.97,32.84,24.43,20.17,18.47,16.78,15.56,14.51 | +| basket | 22.18,22.43,21.68,21.29,20.71,19.84,18.47,16.73,15.1,13.63,12.55 | +| waterfall | 50.45,41.87,40.31,41.17,41.31,40.92,40.33,39.7,38.82,38.03,37.66 | +| tent | 93.6,93.35,93.36,90.41,88.33,84.63,80.25,75.87,72.54,69.3,66.14 | +| bag | 11.28,13.54,14.44,13.36,11.89,10.51,9.11,8.49,7.89,7.38,6.97 | +| minibike | 59.92,60.18,58.29,56.53,53.07,46.67,40.94,35.74,32.52,29.66,27.73 | +| cradle | 82.06,83.39,82.8,77.56,73.58,68.56,63.93,60.03,56.73,54.12,52.53 | +| oven | 45.52,44.6,43.32,42.65,40.86,40.23,39.02,36.77,35.71,34.16,33.44 | +| ball | 44.41,42.69,39.46,36.99,32.57,29.97,27.28,25.37,24.01,23.37,22.9 | +| food | 54.88,54.39,54.22,52.39,49.01,45.34,41.39,38.24,35.12,33.11,32.04 | +| step | 6.67,4.49,3.12,3.44,3.35,2.98,2.14,1.56,1.01,0.47,0.42 | +| tank | 49.36,51.41,49.81,47.16,44.86,42.51,40.95,39.5,38.32,37.64,37.17 | +| trade name | 22.25,24.99,25.83,24.55,22.62,20.6,17.85,14.74,11.58,8.84,8.07 | +| microwave | 72.33,69.99,66.39,63.49,61.45,59.66,57.67,55.88,54.48,53.24,52.8 | +| pot | 28.92,28.14,28.2,26.5,25.14,22.59,19.84,17.54,15.91,14.45,13.56 | +| animal | 52.98,51.91,50.77,50.17,48.72,46.98,44.96,42.53,40.38,38.65,37.51 | +| bicycle | 48.59,48.81,47.23,45.41,42.3,37.12,32.74,28.87,25.57,23.64,22.9 | +| lake | 55.65,56.2,56.58,56.28,56.27,55.83,55.52,55.11,54.7,54.46,54.32 | +| dishwasher | 65.77,65.48,64.94,63.42,62.26,60.34,57.25,53.13,49.06,46.61,45.02 | +| screen | 66.58,71.63,72.42,71.25,69.83,68.25,66.93,66.09,65.45,64.66,64.4 | +| blanket | 13.92,15.78,15.7,14.6,13.65,12.45,11.14,10.31,9.48,8.82,8.58 | +| sculpture | 59.18,56.4,56.1,53.39,49.65,44.56,40.99,38.43,36.76,35.37,34.68 | +| hood | 57.87,58.1,60.48,58.8,56.68,54.02,50.34,47.8,45.8,44.16,42.77 | +| sconce | 37.03,37.83,37.29,35.51,34.64,32.07,28.75,25.21,21.62,18.3,16.43 | +| vase | 33.43,33.93,35.97,36.47,35.08,32.29,29.56,26.7,24.01,21.11,19.46 | +| traffic light | 29.72,32.64,29.53,29.89,28.55,27.39,23.17,20.48,19.37,17.17,16.08 | +| tray | 3.75,4.62,4.83,5.29,6.02,5.8,5.36,5.19,4.46,3.86,3.57 | +| ashcan | 37.75,41.98,42.77,40.26,37.3,33.27,28.87,25.3,23.14,21.87,21.29 | +| fan | 52.16,53.48,55.01,54.42,52.41,48.98,43.65,36.82,32.47,29.39,27.16 | +| pier | 29.04,45.82,47.93,46.48,44.25,42.37,39.51,37.51,35.35,33.56,32.66 | +| crt screen | 8.37,11.07,12.48,13.98,15.17,15.68,14.66,14.42,13.47,12.27,11.15 | +| plate | 46.67,48.4,51.1,48.34,46.62,43.62,40.18,35.4,31.32,27.76,25.13 | +| monitor | 27.84,18.13,16.87,16.4,15.34,14.1,12.55,10.88,9.33,7.96,6.89 | +| bulletin board | 42.72,39.02,40.13,37.62,32.96,26.26,21.13,18.0,16.21,15.29,14.55 | +| shower | 0.62,0.65,0.02,0.09,0.35,0.41,0.48,0.6,0.65,0.66,0.68 | +| radiator | 52.09,48.76,48.99,45.46,39.56,33.53,27.01,21.27,17.45,15.36,14.43 | +| glass | 8.98,10.75,11.6,12.27,12.63,11.98,10.88,9.51,8.3,6.96,6.35 | +| clock | 26.23,29.65,34.08,31.83,28.82,24.85,21.78,19.63,17.02,14.56,12.99 | +| flag | 31.67,29.2,28.89,27.92,26.09,24.39,22.86,21.28,19.36,18.11,17.39 | ++---------------------+-------------------------------------------------------------------+ +2023-03-04 03:08:02,581 - mmseg - INFO - Summary: +2023-03-04 03:08:02,581 - mmseg - INFO - ++-----------------------------------------------------------------+ +| mIoU 0,10,20,30,40,50,60,70,80,90,99 | ++-----------------------------------------------------------------+ +| 46.44,46.85,46.59,45.29,43.38,41.0,38.51,36.2,34.23,32.66,31.67 | ++-----------------------------------------------------------------+ +2023-03-04 03:08:02,582 - mmseg - INFO - Exp name: ablation_segformer_mit_b2_segformer_head_unet_fc_small_multi_step_ade_pretrained_freeze_embed_160k_ade20k151_finetune_ema_wgt.py +2023-03-04 03:08:02,582 - mmseg - INFO - Iter(val) [250] mIoU: [0.4644, 0.4685, 0.4659, 0.4529, 0.4338, 0.41, 0.3851, 0.362, 0.3423, 0.3266, 0.3167], copy_paste: 46.44,46.85,46.59,45.29,43.38,41.0,38.51,36.2,34.23,32.66,31.67 +2023-03-04 03:08:02,589 - mmseg - INFO - Swap parameters (before train) before iter [32001] +2023-03-04 03:08:11,254 - mmseg - INFO - Iter [32050/160000] lr: 7.500e-05, eta: 7:43:44, time: 12.938, data_time: 12.772, memory: 52541, decode.loss_ce: 0.0473, decode.acc_seg: 97.9868, loss: 0.0473 +2023-03-04 03:08:19,656 - mmseg - INFO - Iter [32100/160000] lr: 7.500e-05, eta: 7:43:23, time: 0.168, data_time: 0.008, memory: 52541, decode.loss_ce: 0.0486, decode.acc_seg: 97.9563, loss: 0.0486 +2023-03-04 03:08:28,023 - mmseg - INFO - Iter [32150/160000] lr: 7.500e-05, eta: 7:43:02, time: 0.167, data_time: 0.008, memory: 52541, decode.loss_ce: 0.0489, decode.acc_seg: 97.9465, loss: 0.0489 +2023-03-04 03:08:39,073 - mmseg - INFO - Iter [32200/160000] lr: 7.500e-05, eta: 7:42:52, time: 0.221, data_time: 0.055, memory: 52541, decode.loss_ce: 0.0518, decode.acc_seg: 97.8913, loss: 0.0518 +2023-03-04 03:08:47,843 - mmseg - INFO - Iter [32250/160000] lr: 7.500e-05, eta: 7:42:33, time: 0.176, data_time: 0.008, memory: 52541, decode.loss_ce: 0.0510, decode.acc_seg: 97.8638, loss: 0.0510 +2023-03-04 03:08:56,584 - mmseg - INFO - Iter [32300/160000] lr: 7.500e-05, eta: 7:42:14, time: 0.175, data_time: 0.007, memory: 52541, decode.loss_ce: 0.0516, decode.acc_seg: 97.8770, loss: 0.0516 +2023-03-04 03:09:04,898 - mmseg - INFO - Iter [32350/160000] lr: 7.500e-05, eta: 7:41:53, time: 0.166, data_time: 0.008, memory: 52541, decode.loss_ce: 0.0491, decode.acc_seg: 97.9077, loss: 0.0491 +2023-03-04 03:09:13,000 - mmseg - INFO - Iter [32400/160000] lr: 7.500e-05, eta: 7:41:31, time: 0.162, data_time: 0.008, memory: 52541, decode.loss_ce: 0.0518, decode.acc_seg: 97.8389, loss: 0.0518 +2023-03-04 03:09:21,084 - mmseg - INFO - Iter [32450/160000] lr: 7.500e-05, eta: 7:41:10, time: 0.162, data_time: 0.007, memory: 52541, decode.loss_ce: 0.0547, decode.acc_seg: 97.7203, loss: 0.0547 +2023-03-04 03:09:29,254 - mmseg - INFO - Iter [32500/160000] lr: 7.500e-05, eta: 7:40:48, time: 0.163, data_time: 0.008, memory: 52541, decode.loss_ce: 0.0538, decode.acc_seg: 97.7294, loss: 0.0538 +2023-03-04 03:09:37,282 - mmseg - INFO - Iter [32550/160000] lr: 7.500e-05, eta: 7:40:26, time: 0.161, data_time: 0.008, memory: 52541, decode.loss_ce: 0.0507, decode.acc_seg: 97.8537, loss: 0.0507 +2023-03-04 03:09:45,461 - mmseg - INFO - Iter [32600/160000] lr: 7.500e-05, eta: 7:40:05, time: 0.164, data_time: 0.007, memory: 52541, decode.loss_ce: 0.0547, decode.acc_seg: 97.6944, loss: 0.0547 +2023-03-04 03:09:53,908 - mmseg - INFO - Iter [32650/160000] lr: 7.500e-05, eta: 7:39:45, time: 0.169, data_time: 0.007, memory: 52541, decode.loss_ce: 0.0504, decode.acc_seg: 97.8874, loss: 0.0504 +2023-03-04 03:10:02,021 - mmseg - INFO - Iter [32700/160000] lr: 7.500e-05, eta: 7:39:24, time: 0.162, data_time: 0.007, memory: 52541, decode.loss_ce: 0.0502, decode.acc_seg: 97.9294, loss: 0.0502 +2023-03-04 03:10:10,284 - mmseg - INFO - Iter [32750/160000] lr: 7.500e-05, eta: 7:39:03, time: 0.165, data_time: 0.007, memory: 52541, decode.loss_ce: 0.0487, decode.acc_seg: 97.9499, loss: 0.0487 +2023-03-04 03:10:18,578 - mmseg - INFO - Iter [32800/160000] lr: 7.500e-05, eta: 7:38:42, time: 0.166, data_time: 0.008, memory: 52541, decode.loss_ce: 0.0482, decode.acc_seg: 97.9392, loss: 0.0482 +2023-03-04 03:10:29,327 - mmseg - INFO - Iter [32850/160000] lr: 7.500e-05, eta: 7:38:31, time: 0.215, data_time: 0.053, memory: 52541, decode.loss_ce: 0.0524, decode.acc_seg: 97.8001, loss: 0.0524 +2023-03-04 03:10:37,511 - mmseg - INFO - Iter [32900/160000] lr: 7.500e-05, eta: 7:38:10, time: 0.164, data_time: 0.008, memory: 52541, decode.loss_ce: 0.0492, decode.acc_seg: 97.9162, loss: 0.0492 +2023-03-04 03:10:45,589 - mmseg - INFO - Iter [32950/160000] lr: 7.500e-05, eta: 7:37:49, time: 0.162, data_time: 0.008, memory: 52541, decode.loss_ce: 0.0522, decode.acc_seg: 97.8182, loss: 0.0522 +2023-03-04 03:10:53,954 - mmseg - INFO - Exp name: ablation_segformer_mit_b2_segformer_head_unet_fc_small_multi_step_ade_pretrained_freeze_embed_160k_ade20k151_finetune_ema_wgt.py +2023-03-04 03:10:53,955 - mmseg - INFO - Iter [33000/160000] lr: 7.500e-05, eta: 7:37:28, time: 0.167, data_time: 0.007, memory: 52541, decode.loss_ce: 0.0519, decode.acc_seg: 97.8300, loss: 0.0519 +2023-03-04 03:11:02,122 - mmseg - INFO - Iter [33050/160000] lr: 7.500e-05, eta: 7:37:07, time: 0.163, data_time: 0.008, memory: 52541, decode.loss_ce: 0.0491, decode.acc_seg: 97.9333, loss: 0.0491 +2023-03-04 03:11:10,711 - mmseg - INFO - Iter [33100/160000] lr: 7.500e-05, eta: 7:36:48, time: 0.172, data_time: 0.008, memory: 52541, decode.loss_ce: 0.0533, decode.acc_seg: 97.7606, loss: 0.0533 +2023-03-04 03:11:19,091 - mmseg - INFO - Iter [33150/160000] lr: 7.500e-05, eta: 7:36:28, time: 0.168, data_time: 0.007, memory: 52541, decode.loss_ce: 0.0533, decode.acc_seg: 97.7546, loss: 0.0533 +2023-03-04 03:11:27,228 - mmseg - INFO - Iter [33200/160000] lr: 7.500e-05, eta: 7:36:07, time: 0.163, data_time: 0.008, memory: 52541, decode.loss_ce: 0.0508, decode.acc_seg: 97.8758, loss: 0.0508 +2023-03-04 03:11:35,578 - mmseg - INFO - Iter [33250/160000] lr: 7.500e-05, eta: 7:35:47, time: 0.167, data_time: 0.007, memory: 52541, decode.loss_ce: 0.0525, decode.acc_seg: 97.8370, loss: 0.0525 +2023-03-04 03:11:43,847 - mmseg - INFO - Iter [33300/160000] lr: 7.500e-05, eta: 7:35:27, time: 0.165, data_time: 0.008, memory: 52541, decode.loss_ce: 0.0486, decode.acc_seg: 97.9460, loss: 0.0486 +2023-03-04 03:11:52,387 - mmseg - INFO - Iter [33350/160000] lr: 7.500e-05, eta: 7:35:07, time: 0.171, data_time: 0.008, memory: 52541, decode.loss_ce: 0.0493, decode.acc_seg: 97.9226, loss: 0.0493 +2023-03-04 03:12:00,593 - mmseg - INFO - Iter [33400/160000] lr: 7.500e-05, eta: 7:34:47, time: 0.164, data_time: 0.008, memory: 52541, decode.loss_ce: 0.0477, decode.acc_seg: 97.9460, loss: 0.0477 +2023-03-04 03:12:11,703 - mmseg - INFO - Iter [33450/160000] lr: 7.500e-05, eta: 7:34:37, time: 0.222, data_time: 0.055, memory: 52541, decode.loss_ce: 0.0483, decode.acc_seg: 97.9416, loss: 0.0483 +2023-03-04 03:12:20,222 - mmseg - INFO - Iter [33500/160000] lr: 7.500e-05, eta: 7:34:18, time: 0.170, data_time: 0.008, memory: 52541, decode.loss_ce: 0.0517, decode.acc_seg: 97.8196, loss: 0.0517 +2023-03-04 03:12:28,500 - mmseg - INFO - Iter [33550/160000] lr: 7.500e-05, eta: 7:33:58, time: 0.165, data_time: 0.008, memory: 52541, decode.loss_ce: 0.0474, decode.acc_seg: 97.9525, loss: 0.0474 +2023-03-04 03:12:37,070 - mmseg - INFO - Iter [33600/160000] lr: 7.500e-05, eta: 7:33:39, time: 0.172, data_time: 0.008, memory: 52541, decode.loss_ce: 0.0504, decode.acc_seg: 97.8668, loss: 0.0504 +2023-03-04 03:12:45,228 - mmseg - INFO - Iter [33650/160000] lr: 7.500e-05, eta: 7:33:18, time: 0.163, data_time: 0.008, memory: 52541, decode.loss_ce: 0.0483, decode.acc_seg: 97.9195, loss: 0.0483 +2023-03-04 03:12:54,014 - mmseg - INFO - Iter [33700/160000] lr: 7.500e-05, eta: 7:33:00, time: 0.176, data_time: 0.008, memory: 52541, decode.loss_ce: 0.0497, decode.acc_seg: 97.9047, loss: 0.0497 +2023-03-04 03:13:02,181 - mmseg - INFO - Iter [33750/160000] lr: 7.500e-05, eta: 7:32:40, time: 0.163, data_time: 0.008, memory: 52541, decode.loss_ce: 0.0485, decode.acc_seg: 97.9588, loss: 0.0485 +2023-03-04 03:13:10,509 - mmseg - INFO - Iter [33800/160000] lr: 7.500e-05, eta: 7:32:20, time: 0.167, data_time: 0.008, memory: 52541, decode.loss_ce: 0.0513, decode.acc_seg: 97.8501, loss: 0.0513 +2023-03-04 03:13:18,606 - mmseg - INFO - Iter [33850/160000] lr: 7.500e-05, eta: 7:31:59, time: 0.162, data_time: 0.008, memory: 52541, decode.loss_ce: 0.0493, decode.acc_seg: 97.9033, loss: 0.0493 +2023-03-04 03:13:26,708 - mmseg - INFO - Iter [33900/160000] lr: 7.500e-05, eta: 7:31:39, time: 0.162, data_time: 0.007, memory: 52541, decode.loss_ce: 0.0520, decode.acc_seg: 97.8402, loss: 0.0520 +2023-03-04 03:13:35,631 - mmseg - INFO - Iter [33950/160000] lr: 7.500e-05, eta: 7:31:21, time: 0.178, data_time: 0.008, memory: 52541, decode.loss_ce: 0.0561, decode.acc_seg: 97.7216, loss: 0.0561 +2023-03-04 03:13:44,263 - mmseg - INFO - Exp name: ablation_segformer_mit_b2_segformer_head_unet_fc_small_multi_step_ade_pretrained_freeze_embed_160k_ade20k151_finetune_ema_wgt.py +2023-03-04 03:13:44,263 - mmseg - INFO - Iter [34000/160000] lr: 7.500e-05, eta: 7:31:02, time: 0.173, data_time: 0.007, memory: 52541, decode.loss_ce: 0.0512, decode.acc_seg: 97.8155, loss: 0.0512 +2023-03-04 03:13:53,035 - mmseg - INFO - Iter [34050/160000] lr: 7.500e-05, eta: 7:30:44, time: 0.176, data_time: 0.008, memory: 52541, decode.loss_ce: 0.0516, decode.acc_seg: 97.8523, loss: 0.0516 +2023-03-04 03:14:03,622 - mmseg - INFO - Iter [34100/160000] lr: 7.500e-05, eta: 7:30:33, time: 0.212, data_time: 0.054, memory: 52541, decode.loss_ce: 0.0505, decode.acc_seg: 97.8701, loss: 0.0505 +2023-03-04 03:14:11,638 - mmseg - INFO - Iter [34150/160000] lr: 7.500e-05, eta: 7:30:12, time: 0.160, data_time: 0.008, memory: 52541, decode.loss_ce: 0.0491, decode.acc_seg: 97.9305, loss: 0.0491 +2023-03-04 03:14:20,036 - mmseg - INFO - Iter [34200/160000] lr: 7.500e-05, eta: 7:29:53, time: 0.168, data_time: 0.007, memory: 52541, decode.loss_ce: 0.0507, decode.acc_seg: 97.8777, loss: 0.0507 +2023-03-04 03:14:28,325 - mmseg - INFO - Iter [34250/160000] lr: 7.500e-05, eta: 7:29:33, time: 0.166, data_time: 0.007, memory: 52541, decode.loss_ce: 0.0461, decode.acc_seg: 98.0405, loss: 0.0461 +2023-03-04 03:14:36,711 - mmseg - INFO - Iter [34300/160000] lr: 7.500e-05, eta: 7:29:14, time: 0.168, data_time: 0.008, memory: 52541, decode.loss_ce: 0.0502, decode.acc_seg: 97.8719, loss: 0.0502 +2023-03-04 03:14:44,888 - mmseg - INFO - Iter [34350/160000] lr: 7.500e-05, eta: 7:28:54, time: 0.163, data_time: 0.007, memory: 52541, decode.loss_ce: 0.0511, decode.acc_seg: 97.8452, loss: 0.0511 +2023-03-04 03:14:53,455 - mmseg - INFO - Iter [34400/160000] lr: 7.500e-05, eta: 7:28:35, time: 0.172, data_time: 0.007, memory: 52541, decode.loss_ce: 0.0489, decode.acc_seg: 97.8980, loss: 0.0489 +2023-03-04 03:15:02,116 - mmseg - INFO - Iter [34450/160000] lr: 7.500e-05, eta: 7:28:17, time: 0.173, data_time: 0.008, memory: 52541, decode.loss_ce: 0.0529, decode.acc_seg: 97.7809, loss: 0.0529 +2023-03-04 03:15:10,778 - mmseg - INFO - Iter [34500/160000] lr: 7.500e-05, eta: 7:27:59, time: 0.173, data_time: 0.008, memory: 52541, decode.loss_ce: 0.0509, decode.acc_seg: 97.8527, loss: 0.0509 +2023-03-04 03:15:18,981 - mmseg - INFO - Iter [34550/160000] lr: 7.500e-05, eta: 7:27:39, time: 0.164, data_time: 0.008, memory: 52541, decode.loss_ce: 0.0488, decode.acc_seg: 97.9274, loss: 0.0488 +2023-03-04 03:15:27,462 - mmseg - INFO - Iter [34600/160000] lr: 7.500e-05, eta: 7:27:21, time: 0.170, data_time: 0.008, memory: 52541, decode.loss_ce: 0.0501, decode.acc_seg: 97.8650, loss: 0.0501 +2023-03-04 03:15:35,595 - mmseg - INFO - Iter [34650/160000] lr: 7.500e-05, eta: 7:27:01, time: 0.163, data_time: 0.008, memory: 52541, decode.loss_ce: 0.0493, decode.acc_seg: 97.9088, loss: 0.0493 +2023-03-04 03:15:43,881 - mmseg - INFO - Iter [34700/160000] lr: 7.500e-05, eta: 7:26:41, time: 0.166, data_time: 0.007, memory: 52541, decode.loss_ce: 0.0495, decode.acc_seg: 97.8930, loss: 0.0495 +2023-03-04 03:15:54,622 - mmseg - INFO - Iter [34750/160000] lr: 7.500e-05, eta: 7:26:31, time: 0.215, data_time: 0.055, memory: 52541, decode.loss_ce: 0.0475, decode.acc_seg: 97.9808, loss: 0.0475 +2023-03-04 03:16:02,923 - mmseg - INFO - Iter [34800/160000] lr: 7.500e-05, eta: 7:26:11, time: 0.166, data_time: 0.007, memory: 52541, decode.loss_ce: 0.0477, decode.acc_seg: 97.9751, loss: 0.0477 +2023-03-04 03:16:11,428 - mmseg - INFO - Iter [34850/160000] lr: 7.500e-05, eta: 7:25:53, time: 0.170, data_time: 0.007, memory: 52541, decode.loss_ce: 0.0460, decode.acc_seg: 98.0279, loss: 0.0460 +2023-03-04 03:16:19,445 - mmseg - INFO - Iter [34900/160000] lr: 7.500e-05, eta: 7:25:32, time: 0.160, data_time: 0.008, memory: 52541, decode.loss_ce: 0.0503, decode.acc_seg: 97.8719, loss: 0.0503 +2023-03-04 03:16:27,936 - mmseg - INFO - Iter [34950/160000] lr: 7.500e-05, eta: 7:25:14, time: 0.170, data_time: 0.008, memory: 52541, decode.loss_ce: 0.0519, decode.acc_seg: 97.8302, loss: 0.0519 +2023-03-04 03:16:36,286 - mmseg - INFO - Exp name: ablation_segformer_mit_b2_segformer_head_unet_fc_small_multi_step_ade_pretrained_freeze_embed_160k_ade20k151_finetune_ema_wgt.py +2023-03-04 03:16:36,286 - mmseg - INFO - Iter [35000/160000] lr: 7.500e-05, eta: 7:24:55, time: 0.167, data_time: 0.008, memory: 52541, decode.loss_ce: 0.0520, decode.acc_seg: 97.8181, loss: 0.0520 +2023-03-04 03:16:44,513 - mmseg - INFO - Iter [35050/160000] lr: 7.500e-05, eta: 7:24:36, time: 0.165, data_time: 0.008, memory: 52541, decode.loss_ce: 0.0499, decode.acc_seg: 97.8876, loss: 0.0499 +2023-03-04 03:16:52,675 - mmseg - INFO - Iter [35100/160000] lr: 7.500e-05, eta: 7:24:16, time: 0.163, data_time: 0.008, memory: 52541, decode.loss_ce: 0.0503, decode.acc_seg: 97.8571, loss: 0.0503 +2023-03-04 03:17:01,285 - mmseg - INFO - Iter [35150/160000] lr: 7.500e-05, eta: 7:23:58, time: 0.172, data_time: 0.007, memory: 52541, decode.loss_ce: 0.0481, decode.acc_seg: 97.9667, loss: 0.0481 +2023-03-04 03:17:09,417 - mmseg - INFO - Iter [35200/160000] lr: 7.500e-05, eta: 7:23:38, time: 0.162, data_time: 0.008, memory: 52541, decode.loss_ce: 0.0506, decode.acc_seg: 97.8757, loss: 0.0506 +2023-03-04 03:17:17,986 - mmseg - INFO - Iter [35250/160000] lr: 7.500e-05, eta: 7:23:20, time: 0.172, data_time: 0.009, memory: 52541, decode.loss_ce: 0.0482, decode.acc_seg: 97.9327, loss: 0.0482 +2023-03-04 03:17:26,303 - mmseg - INFO - Iter [35300/160000] lr: 7.500e-05, eta: 7:23:01, time: 0.166, data_time: 0.007, memory: 52541, decode.loss_ce: 0.0491, decode.acc_seg: 97.9413, loss: 0.0491 +2023-03-04 03:17:36,898 - mmseg - INFO - Iter [35350/160000] lr: 7.500e-05, eta: 7:22:50, time: 0.212, data_time: 0.053, memory: 52541, decode.loss_ce: 0.0498, decode.acc_seg: 97.8649, loss: 0.0498 +2023-03-04 03:17:45,176 - mmseg - INFO - Iter [35400/160000] lr: 7.500e-05, eta: 7:22:31, time: 0.165, data_time: 0.008, memory: 52541, decode.loss_ce: 0.0466, decode.acc_seg: 98.0168, loss: 0.0466 +2023-03-04 03:17:53,455 - mmseg - INFO - Iter [35450/160000] lr: 7.500e-05, eta: 7:22:12, time: 0.166, data_time: 0.008, memory: 52541, decode.loss_ce: 0.0485, decode.acc_seg: 97.9618, loss: 0.0485 +2023-03-04 03:18:02,090 - mmseg - INFO - Iter [35500/160000] lr: 7.500e-05, eta: 7:21:55, time: 0.173, data_time: 0.008, memory: 52541, decode.loss_ce: 0.0518, decode.acc_seg: 97.8419, loss: 0.0518 +2023-03-04 03:18:10,259 - mmseg - INFO - Iter [35550/160000] lr: 7.500e-05, eta: 7:21:35, time: 0.163, data_time: 0.007, memory: 52541, decode.loss_ce: 0.0503, decode.acc_seg: 97.8906, loss: 0.0503 +2023-03-04 03:18:18,728 - mmseg - INFO - Iter [35600/160000] lr: 7.500e-05, eta: 7:21:17, time: 0.169, data_time: 0.007, memory: 52541, decode.loss_ce: 0.0514, decode.acc_seg: 97.8284, loss: 0.0514 +2023-03-04 03:18:26,742 - mmseg - INFO - Iter [35650/160000] lr: 7.500e-05, eta: 7:20:57, time: 0.160, data_time: 0.008, memory: 52541, decode.loss_ce: 0.0539, decode.acc_seg: 97.7436, loss: 0.0539 +2023-03-04 03:18:35,692 - mmseg - INFO - Iter [35700/160000] lr: 7.500e-05, eta: 7:20:41, time: 0.179, data_time: 0.008, memory: 52541, decode.loss_ce: 0.0521, decode.acc_seg: 97.8011, loss: 0.0521 +2023-03-04 03:18:44,123 - mmseg - INFO - Iter [35750/160000] lr: 7.500e-05, eta: 7:20:22, time: 0.169, data_time: 0.008, memory: 52541, decode.loss_ce: 0.0483, decode.acc_seg: 97.9627, loss: 0.0483 +2023-03-04 03:18:52,546 - mmseg - INFO - Iter [35800/160000] lr: 7.500e-05, eta: 7:20:04, time: 0.169, data_time: 0.008, memory: 52541, decode.loss_ce: 0.0480, decode.acc_seg: 97.9305, loss: 0.0480 +2023-03-04 03:19:00,755 - mmseg - INFO - Iter [35850/160000] lr: 7.500e-05, eta: 7:19:45, time: 0.164, data_time: 0.007, memory: 52541, decode.loss_ce: 0.0525, decode.acc_seg: 97.7955, loss: 0.0525 +2023-03-04 03:19:09,048 - mmseg - INFO - Iter [35900/160000] lr: 7.500e-05, eta: 7:19:26, time: 0.166, data_time: 0.007, memory: 52541, decode.loss_ce: 0.0461, decode.acc_seg: 98.0293, loss: 0.0461 +2023-03-04 03:19:17,266 - mmseg - INFO - Iter [35950/160000] lr: 7.500e-05, eta: 7:19:07, time: 0.164, data_time: 0.008, memory: 52541, decode.loss_ce: 0.0503, decode.acc_seg: 97.8627, loss: 0.0503 +2023-03-04 03:19:28,233 - mmseg - INFO - Exp name: ablation_segformer_mit_b2_segformer_head_unet_fc_small_multi_step_ade_pretrained_freeze_embed_160k_ade20k151_finetune_ema_wgt.py +2023-03-04 03:19:28,233 - mmseg - INFO - Iter [36000/160000] lr: 7.500e-05, eta: 7:18:58, time: 0.219, data_time: 0.056, memory: 52541, decode.loss_ce: 0.0485, decode.acc_seg: 97.9763, loss: 0.0485 +2023-03-04 03:19:36,681 - mmseg - INFO - Iter [36050/160000] lr: 7.500e-05, eta: 7:18:40, time: 0.169, data_time: 0.007, memory: 52541, decode.loss_ce: 0.0473, decode.acc_seg: 97.9991, loss: 0.0473 +2023-03-04 03:19:45,030 - mmseg - INFO - Iter [36100/160000] lr: 7.500e-05, eta: 7:18:22, time: 0.167, data_time: 0.008, memory: 52541, decode.loss_ce: 0.0477, decode.acc_seg: 97.9752, loss: 0.0477 +2023-03-04 03:19:53,243 - mmseg - INFO - Iter [36150/160000] lr: 7.500e-05, eta: 7:18:03, time: 0.164, data_time: 0.007, memory: 52541, decode.loss_ce: 0.0526, decode.acc_seg: 97.7690, loss: 0.0526 +2023-03-04 03:20:01,807 - mmseg - INFO - Iter [36200/160000] lr: 7.500e-05, eta: 7:17:45, time: 0.171, data_time: 0.008, memory: 52541, decode.loss_ce: 0.0524, decode.acc_seg: 97.7922, loss: 0.0524 +2023-03-04 03:20:10,262 - mmseg - INFO - Iter [36250/160000] lr: 7.500e-05, eta: 7:17:27, time: 0.169, data_time: 0.007, memory: 52541, decode.loss_ce: 0.0494, decode.acc_seg: 97.9068, loss: 0.0494 +2023-03-04 03:20:18,390 - mmseg - INFO - Iter [36300/160000] lr: 7.500e-05, eta: 7:17:08, time: 0.163, data_time: 0.008, memory: 52541, decode.loss_ce: 0.0489, decode.acc_seg: 97.9345, loss: 0.0489 +2023-03-04 03:20:26,685 - mmseg - INFO - Iter [36350/160000] lr: 7.500e-05, eta: 7:16:50, time: 0.166, data_time: 0.007, memory: 52541, decode.loss_ce: 0.0535, decode.acc_seg: 97.7784, loss: 0.0535 +2023-03-04 03:20:34,808 - mmseg - INFO - Iter [36400/160000] lr: 7.500e-05, eta: 7:16:31, time: 0.162, data_time: 0.007, memory: 52541, decode.loss_ce: 0.0513, decode.acc_seg: 97.8192, loss: 0.0513 +2023-03-04 03:20:42,971 - mmseg - INFO - Iter [36450/160000] lr: 7.500e-05, eta: 7:16:12, time: 0.163, data_time: 0.007, memory: 52541, decode.loss_ce: 0.0469, decode.acc_seg: 97.9936, loss: 0.0469 +2023-03-04 03:20:51,490 - mmseg - INFO - Iter [36500/160000] lr: 7.500e-05, eta: 7:15:54, time: 0.170, data_time: 0.008, memory: 52541, decode.loss_ce: 0.0537, decode.acc_seg: 97.7542, loss: 0.0537 +2023-03-04 03:20:59,666 - mmseg - INFO - Iter [36550/160000] lr: 7.500e-05, eta: 7:15:35, time: 0.163, data_time: 0.008, memory: 52541, decode.loss_ce: 0.0480, decode.acc_seg: 97.9553, loss: 0.0480 +2023-03-04 03:21:10,251 - mmseg - INFO - Iter [36600/160000] lr: 7.500e-05, eta: 7:15:25, time: 0.212, data_time: 0.053, memory: 52541, decode.loss_ce: 0.0545, decode.acc_seg: 97.7726, loss: 0.0545 +2023-03-04 03:21:18,780 - mmseg - INFO - Iter [36650/160000] lr: 7.500e-05, eta: 7:15:07, time: 0.170, data_time: 0.008, memory: 52541, decode.loss_ce: 0.0482, decode.acc_seg: 97.9288, loss: 0.0482 +2023-03-04 03:21:27,285 - mmseg - INFO - Iter [36700/160000] lr: 7.500e-05, eta: 7:14:50, time: 0.170, data_time: 0.007, memory: 52541, decode.loss_ce: 0.0489, decode.acc_seg: 97.8676, loss: 0.0489 +2023-03-04 03:21:35,480 - mmseg - INFO - Iter [36750/160000] lr: 7.500e-05, eta: 7:14:31, time: 0.164, data_time: 0.007, memory: 52541, decode.loss_ce: 0.0506, decode.acc_seg: 97.8460, loss: 0.0506 +2023-03-04 03:21:43,971 - mmseg - INFO - Iter [36800/160000] lr: 7.500e-05, eta: 7:14:14, time: 0.170, data_time: 0.008, memory: 52541, decode.loss_ce: 0.0508, decode.acc_seg: 97.8739, loss: 0.0508 +2023-03-04 03:21:52,031 - mmseg - INFO - Iter [36850/160000] lr: 7.500e-05, eta: 7:13:55, time: 0.161, data_time: 0.008, memory: 52541, decode.loss_ce: 0.0492, decode.acc_seg: 97.8786, loss: 0.0492 +2023-03-04 03:22:00,515 - mmseg - INFO - Iter [36900/160000] lr: 7.500e-05, eta: 7:13:37, time: 0.170, data_time: 0.008, memory: 52541, decode.loss_ce: 0.0488, decode.acc_seg: 97.9255, loss: 0.0488 +2023-03-04 03:22:08,766 - mmseg - INFO - Iter [36950/160000] lr: 7.500e-05, eta: 7:13:19, time: 0.165, data_time: 0.007, memory: 52541, decode.loss_ce: 0.0468, decode.acc_seg: 98.0016, loss: 0.0468 +2023-03-04 03:22:16,952 - mmseg - INFO - Exp name: ablation_segformer_mit_b2_segformer_head_unet_fc_small_multi_step_ade_pretrained_freeze_embed_160k_ade20k151_finetune_ema_wgt.py +2023-03-04 03:22:16,952 - mmseg - INFO - Iter [37000/160000] lr: 7.500e-05, eta: 7:13:00, time: 0.163, data_time: 0.008, memory: 52541, decode.loss_ce: 0.0496, decode.acc_seg: 97.9115, loss: 0.0496 +2023-03-04 03:22:25,462 - mmseg - INFO - Iter [37050/160000] lr: 7.500e-05, eta: 7:12:43, time: 0.170, data_time: 0.007, memory: 52541, decode.loss_ce: 0.0486, decode.acc_seg: 97.9416, loss: 0.0486 +2023-03-04 03:22:33,940 - mmseg - INFO - Iter [37100/160000] lr: 7.500e-05, eta: 7:12:26, time: 0.170, data_time: 0.007, memory: 52541, decode.loss_ce: 0.0526, decode.acc_seg: 97.7992, loss: 0.0526 +2023-03-04 03:22:42,217 - mmseg - INFO - Iter [37150/160000] lr: 7.500e-05, eta: 7:12:07, time: 0.166, data_time: 0.008, memory: 52541, decode.loss_ce: 0.0524, decode.acc_seg: 97.8153, loss: 0.0524 +2023-03-04 03:22:50,404 - mmseg - INFO - Iter [37200/160000] lr: 7.500e-05, eta: 7:11:49, time: 0.164, data_time: 0.008, memory: 52541, decode.loss_ce: 0.0518, decode.acc_seg: 97.8146, loss: 0.0518 +2023-03-04 03:23:01,506 - mmseg - INFO - Iter [37250/160000] lr: 7.500e-05, eta: 7:11:40, time: 0.222, data_time: 0.056, memory: 52541, decode.loss_ce: 0.0502, decode.acc_seg: 97.8688, loss: 0.0502 +2023-03-04 03:23:09,561 - mmseg - INFO - Iter [37300/160000] lr: 7.500e-05, eta: 7:11:22, time: 0.161, data_time: 0.008, memory: 52541, decode.loss_ce: 0.0500, decode.acc_seg: 97.8671, loss: 0.0500 +2023-03-04 03:23:18,016 - mmseg - INFO - Iter [37350/160000] lr: 7.500e-05, eta: 7:11:04, time: 0.169, data_time: 0.007, memory: 52541, decode.loss_ce: 0.0508, decode.acc_seg: 97.8791, loss: 0.0508 +2023-03-04 03:23:26,544 - mmseg - INFO - Iter [37400/160000] lr: 7.500e-05, eta: 7:10:47, time: 0.171, data_time: 0.007, memory: 52541, decode.loss_ce: 0.0505, decode.acc_seg: 97.8820, loss: 0.0505 +2023-03-04 03:23:34,746 - mmseg - INFO - Iter [37450/160000] lr: 7.500e-05, eta: 7:10:29, time: 0.164, data_time: 0.007, memory: 52541, decode.loss_ce: 0.0497, decode.acc_seg: 97.8718, loss: 0.0497 +2023-03-04 03:23:42,770 - mmseg - INFO - Iter [37500/160000] lr: 7.500e-05, eta: 7:10:10, time: 0.160, data_time: 0.007, memory: 52541, decode.loss_ce: 0.0482, decode.acc_seg: 97.9318, loss: 0.0482 +2023-03-04 03:23:51,508 - mmseg - INFO - Iter [37550/160000] lr: 7.500e-05, eta: 7:09:54, time: 0.175, data_time: 0.007, memory: 52541, decode.loss_ce: 0.0497, decode.acc_seg: 97.9026, loss: 0.0497 +2023-03-04 03:23:59,709 - mmseg - INFO - Iter [37600/160000] lr: 7.500e-05, eta: 7:09:36, time: 0.164, data_time: 0.008, memory: 52541, decode.loss_ce: 0.0505, decode.acc_seg: 97.8436, loss: 0.0505 +2023-03-04 03:24:08,193 - mmseg - INFO - Iter [37650/160000] lr: 7.500e-05, eta: 7:09:18, time: 0.170, data_time: 0.007, memory: 52541, decode.loss_ce: 0.0491, decode.acc_seg: 97.9000, loss: 0.0491 +2023-03-04 03:24:16,394 - mmseg - INFO - Iter [37700/160000] lr: 7.500e-05, eta: 7:09:00, time: 0.164, data_time: 0.008, memory: 52541, decode.loss_ce: 0.0476, decode.acc_seg: 97.9878, loss: 0.0476 +2023-03-04 03:24:24,636 - mmseg - INFO - Iter [37750/160000] lr: 7.500e-05, eta: 7:08:42, time: 0.165, data_time: 0.008, memory: 52541, decode.loss_ce: 0.0501, decode.acc_seg: 97.8932, loss: 0.0501 +2023-03-04 03:24:32,853 - mmseg - INFO - Iter [37800/160000] lr: 7.500e-05, eta: 7:08:24, time: 0.165, data_time: 0.008, memory: 52541, decode.loss_ce: 0.0476, decode.acc_seg: 97.9385, loss: 0.0476 +2023-03-04 03:24:40,994 - mmseg - INFO - Iter [37850/160000] lr: 7.500e-05, eta: 7:08:06, time: 0.163, data_time: 0.008, memory: 52541, decode.loss_ce: 0.0489, decode.acc_seg: 97.9529, loss: 0.0489 +2023-03-04 03:24:51,681 - mmseg - INFO - Iter [37900/160000] lr: 7.500e-05, eta: 7:07:56, time: 0.214, data_time: 0.054, memory: 52541, decode.loss_ce: 0.0499, decode.acc_seg: 97.8865, loss: 0.0499 +2023-03-04 03:25:00,137 - mmseg - INFO - Iter [37950/160000] lr: 7.500e-05, eta: 7:07:39, time: 0.169, data_time: 0.007, memory: 52541, decode.loss_ce: 0.0502, decode.acc_seg: 97.8967, loss: 0.0502 +2023-03-04 03:25:08,553 - mmseg - INFO - Exp name: ablation_segformer_mit_b2_segformer_head_unet_fc_small_multi_step_ade_pretrained_freeze_embed_160k_ade20k151_finetune_ema_wgt.py +2023-03-04 03:25:08,553 - mmseg - INFO - Iter [38000/160000] lr: 7.500e-05, eta: 7:07:22, time: 0.168, data_time: 0.007, memory: 52541, decode.loss_ce: 0.0480, decode.acc_seg: 97.9439, loss: 0.0480 +2023-03-04 03:25:16,808 - mmseg - INFO - Iter [38050/160000] lr: 7.500e-05, eta: 7:07:04, time: 0.165, data_time: 0.007, memory: 52541, decode.loss_ce: 0.0511, decode.acc_seg: 97.8573, loss: 0.0511 +2023-03-04 03:25:25,057 - mmseg - INFO - Iter [38100/160000] lr: 7.500e-05, eta: 7:06:46, time: 0.165, data_time: 0.007, memory: 52541, decode.loss_ce: 0.0506, decode.acc_seg: 97.8954, loss: 0.0506 +2023-03-04 03:25:33,184 - mmseg - INFO - Iter [38150/160000] lr: 7.500e-05, eta: 7:06:28, time: 0.163, data_time: 0.008, memory: 52541, decode.loss_ce: 0.0463, decode.acc_seg: 98.0284, loss: 0.0463 +2023-03-04 03:25:41,381 - mmseg - INFO - Iter [38200/160000] lr: 7.500e-05, eta: 7:06:10, time: 0.164, data_time: 0.008, memory: 52541, decode.loss_ce: 0.0542, decode.acc_seg: 97.7531, loss: 0.0542 +2023-03-04 03:25:49,907 - mmseg - INFO - Iter [38250/160000] lr: 7.500e-05, eta: 7:05:54, time: 0.170, data_time: 0.008, memory: 52541, decode.loss_ce: 0.0496, decode.acc_seg: 97.9457, loss: 0.0496 +2023-03-04 03:25:58,144 - mmseg - INFO - Iter [38300/160000] lr: 7.500e-05, eta: 7:05:36, time: 0.165, data_time: 0.008, memory: 52541, decode.loss_ce: 0.0520, decode.acc_seg: 97.7959, loss: 0.0520 +2023-03-04 03:26:06,294 - mmseg - INFO - Iter [38350/160000] lr: 7.500e-05, eta: 7:05:18, time: 0.163, data_time: 0.008, memory: 52541, decode.loss_ce: 0.0494, decode.acc_seg: 97.8937, loss: 0.0494 +2023-03-04 03:26:14,457 - mmseg - INFO - Iter [38400/160000] lr: 7.500e-05, eta: 7:05:00, time: 0.163, data_time: 0.008, memory: 52541, decode.loss_ce: 0.0506, decode.acc_seg: 97.8536, loss: 0.0506 +2023-03-04 03:26:22,878 - mmseg - INFO - Iter [38450/160000] lr: 7.500e-05, eta: 7:04:43, time: 0.168, data_time: 0.007, memory: 52541, decode.loss_ce: 0.0469, decode.acc_seg: 98.0055, loss: 0.0469 +2023-03-04 03:26:33,526 - mmseg - INFO - Iter [38500/160000] lr: 7.500e-05, eta: 7:04:33, time: 0.213, data_time: 0.054, memory: 52541, decode.loss_ce: 0.0481, decode.acc_seg: 98.0016, loss: 0.0481 +2023-03-04 03:26:41,690 - mmseg - INFO - Iter [38550/160000] lr: 7.500e-05, eta: 7:04:15, time: 0.163, data_time: 0.007, memory: 52541, decode.loss_ce: 0.0485, decode.acc_seg: 97.9405, loss: 0.0485 +2023-03-04 03:26:50,513 - mmseg - INFO - Iter [38600/160000] lr: 7.500e-05, eta: 7:04:00, time: 0.176, data_time: 0.007, memory: 52541, decode.loss_ce: 0.0483, decode.acc_seg: 97.9558, loss: 0.0483 +2023-03-04 03:26:58,965 - mmseg - INFO - Iter [38650/160000] lr: 7.500e-05, eta: 7:03:43, time: 0.169, data_time: 0.008, memory: 52541, decode.loss_ce: 0.0525, decode.acc_seg: 97.7860, loss: 0.0525 +2023-03-04 03:27:07,040 - mmseg - INFO - Iter [38700/160000] lr: 7.500e-05, eta: 7:03:25, time: 0.161, data_time: 0.007, memory: 52541, decode.loss_ce: 0.0531, decode.acc_seg: 97.8249, loss: 0.0531 +2023-03-04 03:27:15,252 - mmseg - INFO - Iter [38750/160000] lr: 7.500e-05, eta: 7:03:07, time: 0.164, data_time: 0.008, memory: 52541, decode.loss_ce: 0.0517, decode.acc_seg: 97.8296, loss: 0.0517 +2023-03-04 03:27:23,440 - mmseg - INFO - Iter [38800/160000] lr: 7.500e-05, eta: 7:02:50, time: 0.164, data_time: 0.008, memory: 52541, decode.loss_ce: 0.0491, decode.acc_seg: 97.9361, loss: 0.0491 +2023-03-04 03:27:32,059 - mmseg - INFO - Iter [38850/160000] lr: 7.500e-05, eta: 7:02:34, time: 0.172, data_time: 0.008, memory: 52541, decode.loss_ce: 0.0488, decode.acc_seg: 97.9605, loss: 0.0488 +2023-03-04 03:27:40,323 - mmseg - INFO - Iter [38900/160000] lr: 7.500e-05, eta: 7:02:16, time: 0.165, data_time: 0.007, memory: 52541, decode.loss_ce: 0.0468, decode.acc_seg: 97.9812, loss: 0.0468 +2023-03-04 03:27:48,920 - mmseg - INFO - Iter [38950/160000] lr: 7.500e-05, eta: 7:02:00, time: 0.172, data_time: 0.008, memory: 52541, decode.loss_ce: 0.0449, decode.acc_seg: 98.0579, loss: 0.0449 +2023-03-04 03:27:57,469 - mmseg - INFO - Exp name: ablation_segformer_mit_b2_segformer_head_unet_fc_small_multi_step_ade_pretrained_freeze_embed_160k_ade20k151_finetune_ema_wgt.py +2023-03-04 03:27:57,470 - mmseg - INFO - Iter [39000/160000] lr: 7.500e-05, eta: 7:01:44, time: 0.171, data_time: 0.007, memory: 52541, decode.loss_ce: 0.0494, decode.acc_seg: 97.9118, loss: 0.0494 +2023-03-04 03:28:05,841 - mmseg - INFO - Iter [39050/160000] lr: 7.500e-05, eta: 7:01:27, time: 0.167, data_time: 0.008, memory: 52541, decode.loss_ce: 0.0496, decode.acc_seg: 97.9165, loss: 0.0496 +2023-03-04 03:28:14,056 - mmseg - INFO - Iter [39100/160000] lr: 7.500e-05, eta: 7:01:09, time: 0.164, data_time: 0.008, memory: 52541, decode.loss_ce: 0.0495, decode.acc_seg: 97.9295, loss: 0.0495 +2023-03-04 03:28:24,784 - mmseg - INFO - Iter [39150/160000] lr: 7.500e-05, eta: 7:01:00, time: 0.214, data_time: 0.056, memory: 52541, decode.loss_ce: 0.0502, decode.acc_seg: 97.8559, loss: 0.0502 +2023-03-04 03:28:32,825 - mmseg - INFO - Iter [39200/160000] lr: 7.500e-05, eta: 7:00:42, time: 0.161, data_time: 0.008, memory: 52541, decode.loss_ce: 0.0479, decode.acc_seg: 97.9720, loss: 0.0479 +2023-03-04 03:28:41,243 - mmseg - INFO - Iter [39250/160000] lr: 7.500e-05, eta: 7:00:25, time: 0.168, data_time: 0.007, memory: 52541, decode.loss_ce: 0.0494, decode.acc_seg: 97.8810, loss: 0.0494 +2023-03-04 03:28:49,386 - mmseg - INFO - Iter [39300/160000] lr: 7.500e-05, eta: 7:00:08, time: 0.163, data_time: 0.007, memory: 52541, decode.loss_ce: 0.0483, decode.acc_seg: 97.9421, loss: 0.0483 +2023-03-04 03:28:57,883 - mmseg - INFO - Iter [39350/160000] lr: 7.500e-05, eta: 6:59:51, time: 0.170, data_time: 0.008, memory: 52541, decode.loss_ce: 0.0508, decode.acc_seg: 97.8631, loss: 0.0508 +2023-03-04 03:29:06,245 - mmseg - INFO - Iter [39400/160000] lr: 7.500e-05, eta: 6:59:34, time: 0.167, data_time: 0.008, memory: 52541, decode.loss_ce: 0.0503, decode.acc_seg: 97.8717, loss: 0.0503 +2023-03-04 03:29:14,423 - mmseg - INFO - Iter [39450/160000] lr: 7.500e-05, eta: 6:59:17, time: 0.164, data_time: 0.008, memory: 52541, decode.loss_ce: 0.0528, decode.acc_seg: 97.7512, loss: 0.0528 +2023-03-04 03:29:22,564 - mmseg - INFO - Iter [39500/160000] lr: 7.500e-05, eta: 6:59:00, time: 0.163, data_time: 0.008, memory: 52541, decode.loss_ce: 0.0510, decode.acc_seg: 97.8251, loss: 0.0510 +2023-03-04 03:29:30,712 - mmseg - INFO - Iter [39550/160000] lr: 7.500e-05, eta: 6:58:42, time: 0.163, data_time: 0.008, memory: 52541, decode.loss_ce: 0.0509, decode.acc_seg: 97.8727, loss: 0.0509 +2023-03-04 03:29:39,742 - mmseg - INFO - Iter [39600/160000] lr: 7.500e-05, eta: 6:58:28, time: 0.181, data_time: 0.007, memory: 52541, decode.loss_ce: 0.0500, decode.acc_seg: 97.8767, loss: 0.0500 +2023-03-04 03:29:48,289 - mmseg - INFO - Iter [39650/160000] lr: 7.500e-05, eta: 6:58:11, time: 0.171, data_time: 0.008, memory: 52541, decode.loss_ce: 0.0504, decode.acc_seg: 97.8856, loss: 0.0504 +2023-03-04 03:29:56,542 - mmseg - INFO - Iter [39700/160000] lr: 7.500e-05, eta: 6:57:54, time: 0.165, data_time: 0.007, memory: 52541, decode.loss_ce: 0.0524, decode.acc_seg: 97.7828, loss: 0.0524 +2023-03-04 03:30:04,910 - mmseg - INFO - Iter [39750/160000] lr: 7.500e-05, eta: 6:57:38, time: 0.168, data_time: 0.008, memory: 52541, decode.loss_ce: 0.0485, decode.acc_seg: 97.9423, loss: 0.0485 +2023-03-04 03:30:16,138 - mmseg - INFO - Iter [39800/160000] lr: 7.500e-05, eta: 6:57:30, time: 0.224, data_time: 0.057, memory: 52541, decode.loss_ce: 0.0474, decode.acc_seg: 97.9566, loss: 0.0474 +2023-03-04 03:30:24,885 - mmseg - INFO - Iter [39850/160000] lr: 7.500e-05, eta: 6:57:14, time: 0.175, data_time: 0.007, memory: 52541, decode.loss_ce: 0.0538, decode.acc_seg: 97.7454, loss: 0.0538 +2023-03-04 03:30:33,118 - mmseg - INFO - Iter [39900/160000] lr: 7.500e-05, eta: 6:56:57, time: 0.165, data_time: 0.007, memory: 52541, decode.loss_ce: 0.0471, decode.acc_seg: 97.9909, loss: 0.0471 +2023-03-04 03:30:41,204 - mmseg - INFO - Iter [39950/160000] lr: 7.500e-05, eta: 6:56:40, time: 0.162, data_time: 0.008, memory: 52541, decode.loss_ce: 0.0519, decode.acc_seg: 97.8056, loss: 0.0519 +2023-03-04 03:30:49,628 - mmseg - INFO - Exp name: ablation_segformer_mit_b2_segformer_head_unet_fc_small_multi_step_ade_pretrained_freeze_embed_160k_ade20k151_finetune_ema_wgt.py +2023-03-04 03:30:49,629 - mmseg - INFO - Iter [40000/160000] lr: 7.500e-05, eta: 6:56:24, time: 0.168, data_time: 0.008, memory: 52541, decode.loss_ce: 0.0487, decode.acc_seg: 97.9368, loss: 0.0487 +2023-03-04 03:30:58,121 - mmseg - INFO - Iter [40050/160000] lr: 3.750e-05, eta: 6:56:07, time: 0.170, data_time: 0.007, memory: 52541, decode.loss_ce: 0.0465, decode.acc_seg: 98.0051, loss: 0.0465 +2023-03-04 03:31:06,241 - mmseg - INFO - Iter [40100/160000] lr: 3.750e-05, eta: 6:55:50, time: 0.163, data_time: 0.008, memory: 52541, decode.loss_ce: 0.0500, decode.acc_seg: 97.8815, loss: 0.0500 +2023-03-04 03:31:14,768 - mmseg - INFO - Iter [40150/160000] lr: 3.750e-05, eta: 6:55:34, time: 0.171, data_time: 0.008, memory: 52541, decode.loss_ce: 0.0492, decode.acc_seg: 97.8946, loss: 0.0492 +2023-03-04 03:31:22,987 - mmseg - INFO - Iter [40200/160000] lr: 3.750e-05, eta: 6:55:17, time: 0.164, data_time: 0.008, memory: 52541, decode.loss_ce: 0.0468, decode.acc_seg: 98.0005, loss: 0.0468 +2023-03-04 03:31:31,329 - mmseg - INFO - Iter [40250/160000] lr: 3.750e-05, eta: 6:55:01, time: 0.167, data_time: 0.008, memory: 52541, decode.loss_ce: 0.0442, decode.acc_seg: 98.0806, loss: 0.0442 +2023-03-04 03:31:39,990 - mmseg - INFO - Iter [40300/160000] lr: 3.750e-05, eta: 6:54:45, time: 0.173, data_time: 0.009, memory: 52541, decode.loss_ce: 0.0463, decode.acc_seg: 97.9937, loss: 0.0463 +2023-03-04 03:31:48,510 - mmseg - INFO - Iter [40350/160000] lr: 3.750e-05, eta: 6:54:29, time: 0.170, data_time: 0.008, memory: 52541, decode.loss_ce: 0.0483, decode.acc_seg: 97.9697, loss: 0.0483 +2023-03-04 03:31:59,726 - mmseg - INFO - Iter [40400/160000] lr: 3.750e-05, eta: 6:54:21, time: 0.225, data_time: 0.054, memory: 52541, decode.loss_ce: 0.0490, decode.acc_seg: 97.8896, loss: 0.0490 +2023-03-04 03:32:07,816 - mmseg - INFO - Iter [40450/160000] lr: 3.750e-05, eta: 6:54:04, time: 0.162, data_time: 0.007, memory: 52541, decode.loss_ce: 0.0456, decode.acc_seg: 98.0232, loss: 0.0456 +2023-03-04 03:32:16,405 - mmseg - INFO - Iter [40500/160000] lr: 3.750e-05, eta: 6:53:48, time: 0.172, data_time: 0.008, memory: 52541, decode.loss_ce: 0.0424, decode.acc_seg: 98.1269, loss: 0.0424 +2023-03-04 03:32:25,134 - mmseg - INFO - Iter [40550/160000] lr: 3.750e-05, eta: 6:53:33, time: 0.174, data_time: 0.007, memory: 52541, decode.loss_ce: 0.0446, decode.acc_seg: 98.1118, loss: 0.0446 +2023-03-04 03:32:33,630 - mmseg - INFO - Iter [40600/160000] lr: 3.750e-05, eta: 6:53:17, time: 0.170, data_time: 0.008, memory: 52541, decode.loss_ce: 0.0458, decode.acc_seg: 98.0413, loss: 0.0458 +2023-03-04 03:32:42,178 - mmseg - INFO - Iter [40650/160000] lr: 3.750e-05, eta: 6:53:01, time: 0.171, data_time: 0.008, memory: 52541, decode.loss_ce: 0.0459, decode.acc_seg: 98.0651, loss: 0.0459 +2023-03-04 03:32:50,448 - mmseg - INFO - Iter [40700/160000] lr: 3.750e-05, eta: 6:52:45, time: 0.165, data_time: 0.007, memory: 52541, decode.loss_ce: 0.0486, decode.acc_seg: 97.9440, loss: 0.0486 +2023-03-04 03:32:58,553 - mmseg - INFO - Iter [40750/160000] lr: 3.750e-05, eta: 6:52:28, time: 0.162, data_time: 0.007, memory: 52541, decode.loss_ce: 0.0467, decode.acc_seg: 98.0149, loss: 0.0467 +2023-03-04 03:33:06,822 - mmseg - INFO - Iter [40800/160000] lr: 3.750e-05, eta: 6:52:11, time: 0.165, data_time: 0.008, memory: 52541, decode.loss_ce: 0.0475, decode.acc_seg: 97.9747, loss: 0.0475 +2023-03-04 03:33:15,116 - mmseg - INFO - Iter [40850/160000] lr: 3.750e-05, eta: 6:51:55, time: 0.166, data_time: 0.007, memory: 52541, decode.loss_ce: 0.0471, decode.acc_seg: 97.9750, loss: 0.0471 +2023-03-04 03:33:23,139 - mmseg - INFO - Iter [40900/160000] lr: 3.750e-05, eta: 6:51:38, time: 0.160, data_time: 0.008, memory: 52541, decode.loss_ce: 0.0456, decode.acc_seg: 98.0524, loss: 0.0456 +2023-03-04 03:33:31,336 - mmseg - INFO - Iter [40950/160000] lr: 3.750e-05, eta: 6:51:21, time: 0.164, data_time: 0.008, memory: 52541, decode.loss_ce: 0.0500, decode.acc_seg: 97.8964, loss: 0.0500 +2023-03-04 03:33:39,597 - mmseg - INFO - Exp name: ablation_segformer_mit_b2_segformer_head_unet_fc_small_multi_step_ade_pretrained_freeze_embed_160k_ade20k151_finetune_ema_wgt.py +2023-03-04 03:33:39,597 - mmseg - INFO - Iter [41000/160000] lr: 3.750e-05, eta: 6:51:04, time: 0.165, data_time: 0.008, memory: 52541, decode.loss_ce: 0.0470, decode.acc_seg: 98.0097, loss: 0.0470 +2023-03-04 03:33:50,252 - mmseg - INFO - Iter [41050/160000] lr: 3.750e-05, eta: 6:50:55, time: 0.213, data_time: 0.053, memory: 52541, decode.loss_ce: 0.0477, decode.acc_seg: 97.9558, loss: 0.0477 +2023-03-04 03:33:58,543 - mmseg - INFO - Iter [41100/160000] lr: 3.750e-05, eta: 6:50:38, time: 0.166, data_time: 0.007, memory: 52541, decode.loss_ce: 0.0469, decode.acc_seg: 97.9773, loss: 0.0469 +2023-03-04 03:34:06,943 - mmseg - INFO - Iter [41150/160000] lr: 3.750e-05, eta: 6:50:22, time: 0.168, data_time: 0.008, memory: 52541, decode.loss_ce: 0.0483, decode.acc_seg: 97.8964, loss: 0.0483 +2023-03-04 03:34:15,576 - mmseg - INFO - Iter [41200/160000] lr: 3.750e-05, eta: 6:50:07, time: 0.173, data_time: 0.007, memory: 52541, decode.loss_ce: 0.0442, decode.acc_seg: 98.0926, loss: 0.0442 +2023-03-04 03:34:23,813 - mmseg - INFO - Iter [41250/160000] lr: 3.750e-05, eta: 6:49:51, time: 0.164, data_time: 0.007, memory: 52541, decode.loss_ce: 0.0524, decode.acc_seg: 97.8066, loss: 0.0524 +2023-03-04 03:34:32,537 - mmseg - INFO - Iter [41300/160000] lr: 3.750e-05, eta: 6:49:36, time: 0.175, data_time: 0.007, memory: 52541, decode.loss_ce: 0.0454, decode.acc_seg: 98.0520, loss: 0.0454 +2023-03-04 03:34:40,703 - mmseg - INFO - Iter [41350/160000] lr: 3.750e-05, eta: 6:49:19, time: 0.163, data_time: 0.008, memory: 52541, decode.loss_ce: 0.0474, decode.acc_seg: 97.9675, loss: 0.0474 +2023-03-04 03:34:48,816 - mmseg - INFO - Iter [41400/160000] lr: 3.750e-05, eta: 6:49:02, time: 0.162, data_time: 0.007, memory: 52541, decode.loss_ce: 0.0478, decode.acc_seg: 97.9241, loss: 0.0478 +2023-03-04 03:34:56,810 - mmseg - INFO - Iter [41450/160000] lr: 3.750e-05, eta: 6:48:45, time: 0.160, data_time: 0.008, memory: 52541, decode.loss_ce: 0.0452, decode.acc_seg: 98.0650, loss: 0.0452 +2023-03-04 03:35:05,150 - mmseg - INFO - Iter [41500/160000] lr: 3.750e-05, eta: 6:48:29, time: 0.167, data_time: 0.008, memory: 52541, decode.loss_ce: 0.0432, decode.acc_seg: 98.1145, loss: 0.0432 +2023-03-04 03:35:13,462 - mmseg - INFO - Iter [41550/160000] lr: 3.750e-05, eta: 6:48:13, time: 0.166, data_time: 0.007, memory: 52541, decode.loss_ce: 0.0453, decode.acc_seg: 98.0319, loss: 0.0453 +2023-03-04 03:35:22,401 - mmseg - INFO - Iter [41600/160000] lr: 3.750e-05, eta: 6:47:59, time: 0.178, data_time: 0.009, memory: 52541, decode.loss_ce: 0.0455, decode.acc_seg: 98.0482, loss: 0.0455 +2023-03-04 03:35:32,991 - mmseg - INFO - Iter [41650/160000] lr: 3.750e-05, eta: 6:47:49, time: 0.212, data_time: 0.054, memory: 52541, decode.loss_ce: 0.0432, decode.acc_seg: 98.1084, loss: 0.0432 +2023-03-04 03:35:41,417 - mmseg - INFO - Iter [41700/160000] lr: 3.750e-05, eta: 6:47:33, time: 0.168, data_time: 0.008, memory: 52541, decode.loss_ce: 0.0443, decode.acc_seg: 98.0722, loss: 0.0443 +2023-03-04 03:35:50,036 - mmseg - INFO - Iter [41750/160000] lr: 3.750e-05, eta: 6:47:18, time: 0.173, data_time: 0.008, memory: 52541, decode.loss_ce: 0.0423, decode.acc_seg: 98.1619, loss: 0.0423 +2023-03-04 03:35:58,295 - mmseg - INFO - Iter [41800/160000] lr: 3.750e-05, eta: 6:47:02, time: 0.165, data_time: 0.007, memory: 52541, decode.loss_ce: 0.0459, decode.acc_seg: 98.0426, loss: 0.0459 +2023-03-04 03:36:06,765 - mmseg - INFO - Iter [41850/160000] lr: 3.750e-05, eta: 6:46:46, time: 0.169, data_time: 0.008, memory: 52541, decode.loss_ce: 0.0444, decode.acc_seg: 98.0991, loss: 0.0444 +2023-03-04 03:36:15,427 - mmseg - INFO - Iter [41900/160000] lr: 3.750e-05, eta: 6:46:31, time: 0.174, data_time: 0.009, memory: 52541, decode.loss_ce: 0.0468, decode.acc_seg: 98.0072, loss: 0.0468 +2023-03-04 03:36:23,697 - mmseg - INFO - Iter [41950/160000] lr: 3.750e-05, eta: 6:46:15, time: 0.165, data_time: 0.008, memory: 52541, decode.loss_ce: 0.0454, decode.acc_seg: 98.0502, loss: 0.0454 +2023-03-04 03:36:32,088 - mmseg - INFO - Exp name: ablation_segformer_mit_b2_segformer_head_unet_fc_small_multi_step_ade_pretrained_freeze_embed_160k_ade20k151_finetune_ema_wgt.py +2023-03-04 03:36:32,088 - mmseg - INFO - Iter [42000/160000] lr: 3.750e-05, eta: 6:45:59, time: 0.168, data_time: 0.007, memory: 52541, decode.loss_ce: 0.0472, decode.acc_seg: 97.9756, loss: 0.0472 +2023-03-04 03:36:40,470 - mmseg - INFO - Iter [42050/160000] lr: 3.750e-05, eta: 6:45:44, time: 0.168, data_time: 0.008, memory: 52541, decode.loss_ce: 0.0482, decode.acc_seg: 97.9323, loss: 0.0482 +2023-03-04 03:36:48,665 - mmseg - INFO - Iter [42100/160000] lr: 3.750e-05, eta: 6:45:27, time: 0.164, data_time: 0.008, memory: 52541, decode.loss_ce: 0.0484, decode.acc_seg: 97.9314, loss: 0.0484 +2023-03-04 03:36:56,725 - mmseg - INFO - Iter [42150/160000] lr: 3.750e-05, eta: 6:45:11, time: 0.161, data_time: 0.008, memory: 52541, decode.loss_ce: 0.0473, decode.acc_seg: 97.9400, loss: 0.0473 +2023-03-04 03:37:04,788 - mmseg - INFO - Iter [42200/160000] lr: 3.750e-05, eta: 6:44:54, time: 0.161, data_time: 0.008, memory: 52541, decode.loss_ce: 0.0504, decode.acc_seg: 97.8433, loss: 0.0504 +2023-03-04 03:37:13,061 - mmseg - INFO - Iter [42250/160000] lr: 3.750e-05, eta: 6:44:38, time: 0.165, data_time: 0.008, memory: 52541, decode.loss_ce: 0.0512, decode.acc_seg: 97.8331, loss: 0.0512 +2023-03-04 03:37:23,523 - mmseg - INFO - Iter [42300/160000] lr: 3.750e-05, eta: 6:44:28, time: 0.209, data_time: 0.053, memory: 52541, decode.loss_ce: 0.0503, decode.acc_seg: 97.8603, loss: 0.0503 +2023-03-04 03:37:32,105 - mmseg - INFO - Iter [42350/160000] lr: 3.750e-05, eta: 6:44:13, time: 0.172, data_time: 0.007, memory: 52541, decode.loss_ce: 0.0490, decode.acc_seg: 97.8780, loss: 0.0490 +2023-03-04 03:37:40,562 - mmseg - INFO - Iter [42400/160000] lr: 3.750e-05, eta: 6:43:58, time: 0.169, data_time: 0.007, memory: 52541, decode.loss_ce: 0.0491, decode.acc_seg: 97.8679, loss: 0.0491 +2023-03-04 03:37:48,876 - mmseg - INFO - Iter [42450/160000] lr: 3.750e-05, eta: 6:43:42, time: 0.166, data_time: 0.007, memory: 52541, decode.loss_ce: 0.0444, decode.acc_seg: 98.0869, loss: 0.0444 +2023-03-04 03:37:57,603 - mmseg - INFO - Iter [42500/160000] lr: 3.750e-05, eta: 6:43:27, time: 0.175, data_time: 0.007, memory: 52541, decode.loss_ce: 0.0485, decode.acc_seg: 97.9485, loss: 0.0485 +2023-03-04 03:38:05,827 - mmseg - INFO - Iter [42550/160000] lr: 3.750e-05, eta: 6:43:11, time: 0.164, data_time: 0.008, memory: 52541, decode.loss_ce: 0.0449, decode.acc_seg: 98.0566, loss: 0.0449 +2023-03-04 03:38:14,392 - mmseg - INFO - Iter [42600/160000] lr: 3.750e-05, eta: 6:42:56, time: 0.172, data_time: 0.007, memory: 52541, decode.loss_ce: 0.0489, decode.acc_seg: 97.8927, loss: 0.0489 +2023-03-04 03:38:22,742 - mmseg - INFO - Iter [42650/160000] lr: 3.750e-05, eta: 6:42:40, time: 0.167, data_time: 0.007, memory: 52541, decode.loss_ce: 0.0445, decode.acc_seg: 98.0555, loss: 0.0445 +2023-03-04 03:38:31,057 - mmseg - INFO - Iter [42700/160000] lr: 3.750e-05, eta: 6:42:25, time: 0.166, data_time: 0.007, memory: 52541, decode.loss_ce: 0.0496, decode.acc_seg: 97.9052, loss: 0.0496 +2023-03-04 03:38:39,143 - mmseg - INFO - Iter [42750/160000] lr: 3.750e-05, eta: 6:42:08, time: 0.162, data_time: 0.008, memory: 52541, decode.loss_ce: 0.0481, decode.acc_seg: 97.9759, loss: 0.0481 +2023-03-04 03:38:47,635 - mmseg - INFO - Iter [42800/160000] lr: 3.750e-05, eta: 6:41:53, time: 0.170, data_time: 0.007, memory: 52541, decode.loss_ce: 0.0489, decode.acc_seg: 97.9185, loss: 0.0489 +2023-03-04 03:38:55,910 - mmseg - INFO - Iter [42850/160000] lr: 3.750e-05, eta: 6:41:37, time: 0.165, data_time: 0.007, memory: 52541, decode.loss_ce: 0.0478, decode.acc_seg: 97.9843, loss: 0.0478 +2023-03-04 03:39:04,275 - mmseg - INFO - Iter [42900/160000] lr: 3.750e-05, eta: 6:41:22, time: 0.167, data_time: 0.007, memory: 52541, decode.loss_ce: 0.0480, decode.acc_seg: 97.9785, loss: 0.0480 +2023-03-04 03:39:14,996 - mmseg - INFO - Iter [42950/160000] lr: 3.750e-05, eta: 6:41:13, time: 0.214, data_time: 0.055, memory: 52541, decode.loss_ce: 0.0450, decode.acc_seg: 98.0513, loss: 0.0450 +2023-03-04 03:39:23,441 - mmseg - INFO - Exp name: ablation_segformer_mit_b2_segformer_head_unet_fc_small_multi_step_ade_pretrained_freeze_embed_160k_ade20k151_finetune_ema_wgt.py +2023-03-04 03:39:23,441 - mmseg - INFO - Iter [43000/160000] lr: 3.750e-05, eta: 6:40:57, time: 0.169, data_time: 0.007, memory: 52541, decode.loss_ce: 0.0448, decode.acc_seg: 98.0526, loss: 0.0448 +2023-03-04 03:39:31,452 - mmseg - INFO - Iter [43050/160000] lr: 3.750e-05, eta: 6:40:41, time: 0.160, data_time: 0.008, memory: 52541, decode.loss_ce: 0.0456, decode.acc_seg: 98.0783, loss: 0.0456 +2023-03-04 03:39:39,580 - mmseg - INFO - Iter [43100/160000] lr: 3.750e-05, eta: 6:40:25, time: 0.163, data_time: 0.008, memory: 52541, decode.loss_ce: 0.0465, decode.acc_seg: 98.0098, loss: 0.0465 +2023-03-04 03:39:47,760 - mmseg - INFO - Iter [43150/160000] lr: 3.750e-05, eta: 6:40:09, time: 0.164, data_time: 0.008, memory: 52541, decode.loss_ce: 0.0452, decode.acc_seg: 98.0218, loss: 0.0452 +2023-03-04 03:39:56,019 - mmseg - INFO - Iter [43200/160000] lr: 3.750e-05, eta: 6:39:53, time: 0.165, data_time: 0.007, memory: 52541, decode.loss_ce: 0.0495, decode.acc_seg: 97.9090, loss: 0.0495 +2023-03-04 03:40:04,642 - mmseg - INFO - Iter [43250/160000] lr: 3.750e-05, eta: 6:39:39, time: 0.172, data_time: 0.007, memory: 52541, decode.loss_ce: 0.0465, decode.acc_seg: 97.9999, loss: 0.0465 +2023-03-04 03:40:12,731 - mmseg - INFO - Iter [43300/160000] lr: 3.750e-05, eta: 6:39:22, time: 0.162, data_time: 0.008, memory: 52541, decode.loss_ce: 0.0499, decode.acc_seg: 97.9105, loss: 0.0499 +2023-03-04 03:40:20,886 - mmseg - INFO - Iter [43350/160000] lr: 3.750e-05, eta: 6:39:06, time: 0.163, data_time: 0.007, memory: 52541, decode.loss_ce: 0.0490, decode.acc_seg: 97.9081, loss: 0.0490 +2023-03-04 03:40:29,221 - mmseg - INFO - Iter [43400/160000] lr: 3.750e-05, eta: 6:38:51, time: 0.167, data_time: 0.007, memory: 52541, decode.loss_ce: 0.0446, decode.acc_seg: 98.0706, loss: 0.0446 +2023-03-04 03:40:37,831 - mmseg - INFO - Iter [43450/160000] lr: 3.750e-05, eta: 6:38:36, time: 0.172, data_time: 0.008, memory: 52541, decode.loss_ce: 0.0455, decode.acc_seg: 98.0297, loss: 0.0455 +2023-03-04 03:40:46,126 - mmseg - INFO - Iter [43500/160000] lr: 3.750e-05, eta: 6:38:21, time: 0.166, data_time: 0.007, memory: 52541, decode.loss_ce: 0.0423, decode.acc_seg: 98.1709, loss: 0.0423 +2023-03-04 03:40:56,618 - mmseg - INFO - Iter [43550/160000] lr: 3.750e-05, eta: 6:38:11, time: 0.210, data_time: 0.053, memory: 52541, decode.loss_ce: 0.0441, decode.acc_seg: 98.0939, loss: 0.0441 +2023-03-04 03:41:04,947 - mmseg - INFO - Iter [43600/160000] lr: 3.750e-05, eta: 6:37:56, time: 0.167, data_time: 0.007, memory: 52541, decode.loss_ce: 0.0472, decode.acc_seg: 97.9785, loss: 0.0472 +2023-03-04 03:41:13,563 - mmseg - INFO - Iter [43650/160000] lr: 3.750e-05, eta: 6:37:41, time: 0.172, data_time: 0.007, memory: 52541, decode.loss_ce: 0.0479, decode.acc_seg: 97.9755, loss: 0.0479 +2023-03-04 03:41:21,885 - mmseg - INFO - Iter [43700/160000] lr: 3.750e-05, eta: 6:37:26, time: 0.166, data_time: 0.007, memory: 52541, decode.loss_ce: 0.0466, decode.acc_seg: 98.0083, loss: 0.0466 +2023-03-04 03:41:30,543 - mmseg - INFO - Iter [43750/160000] lr: 3.750e-05, eta: 6:37:11, time: 0.173, data_time: 0.008, memory: 52541, decode.loss_ce: 0.0459, decode.acc_seg: 98.0117, loss: 0.0459 +2023-03-04 03:41:38,750 - mmseg - INFO - Iter [43800/160000] lr: 3.750e-05, eta: 6:36:56, time: 0.164, data_time: 0.008, memory: 52541, decode.loss_ce: 0.0473, decode.acc_seg: 97.9760, loss: 0.0473 +2023-03-04 03:41:47,149 - mmseg - INFO - Iter [43850/160000] lr: 3.750e-05, eta: 6:36:40, time: 0.168, data_time: 0.007, memory: 52541, decode.loss_ce: 0.0463, decode.acc_seg: 98.0424, loss: 0.0463 +2023-03-04 03:41:55,203 - mmseg - INFO - Iter [43900/160000] lr: 3.750e-05, eta: 6:36:24, time: 0.161, data_time: 0.008, memory: 52541, decode.loss_ce: 0.0442, decode.acc_seg: 98.1138, loss: 0.0442 +2023-03-04 03:42:04,000 - mmseg - INFO - Iter [43950/160000] lr: 3.750e-05, eta: 6:36:10, time: 0.176, data_time: 0.007, memory: 52541, decode.loss_ce: 0.0434, decode.acc_seg: 98.1272, loss: 0.0434 +2023-03-04 03:42:12,112 - mmseg - INFO - Exp name: ablation_segformer_mit_b2_segformer_head_unet_fc_small_multi_step_ade_pretrained_freeze_embed_160k_ade20k151_finetune_ema_wgt.py +2023-03-04 03:42:12,113 - mmseg - INFO - Iter [44000/160000] lr: 3.750e-05, eta: 6:35:54, time: 0.162, data_time: 0.007, memory: 52541, decode.loss_ce: 0.0475, decode.acc_seg: 97.9481, loss: 0.0475 +2023-03-04 03:42:20,412 - mmseg - INFO - Iter [44050/160000] lr: 3.750e-05, eta: 6:35:39, time: 0.166, data_time: 0.007, memory: 52541, decode.loss_ce: 0.0446, decode.acc_seg: 98.1030, loss: 0.0446 +2023-03-04 03:42:28,868 - mmseg - INFO - Iter [44100/160000] lr: 3.750e-05, eta: 6:35:24, time: 0.169, data_time: 0.007, memory: 52541, decode.loss_ce: 0.0483, decode.acc_seg: 97.9367, loss: 0.0483 +2023-03-04 03:42:36,982 - mmseg - INFO - Iter [44150/160000] lr: 3.750e-05, eta: 6:35:08, time: 0.162, data_time: 0.008, memory: 52541, decode.loss_ce: 0.0452, decode.acc_seg: 98.0548, loss: 0.0452 +2023-03-04 03:42:47,526 - mmseg - INFO - Iter [44200/160000] lr: 3.750e-05, eta: 6:34:59, time: 0.211, data_time: 0.056, memory: 52541, decode.loss_ce: 0.0460, decode.acc_seg: 98.0401, loss: 0.0460 +2023-03-04 03:42:55,991 - mmseg - INFO - Iter [44250/160000] lr: 3.750e-05, eta: 6:34:44, time: 0.169, data_time: 0.008, memory: 52541, decode.loss_ce: 0.0451, decode.acc_seg: 98.0529, loss: 0.0451 +2023-03-04 03:43:04,077 - mmseg - INFO - Iter [44300/160000] lr: 3.750e-05, eta: 6:34:28, time: 0.162, data_time: 0.008, memory: 52541, decode.loss_ce: 0.0456, decode.acc_seg: 98.0465, loss: 0.0456 +2023-03-04 03:43:13,084 - mmseg - INFO - Iter [44350/160000] lr: 3.750e-05, eta: 6:34:15, time: 0.180, data_time: 0.007, memory: 52541, decode.loss_ce: 0.0481, decode.acc_seg: 97.9429, loss: 0.0481 +2023-03-04 03:43:21,528 - mmseg - INFO - Iter [44400/160000] lr: 3.750e-05, eta: 6:34:00, time: 0.169, data_time: 0.008, memory: 52541, decode.loss_ce: 0.0461, decode.acc_seg: 98.0189, loss: 0.0461 +2023-03-04 03:43:29,786 - mmseg - INFO - Iter [44450/160000] lr: 3.750e-05, eta: 6:33:45, time: 0.165, data_time: 0.007, memory: 52541, decode.loss_ce: 0.0459, decode.acc_seg: 98.0038, loss: 0.0459 +2023-03-04 03:43:38,166 - mmseg - INFO - Iter [44500/160000] lr: 3.750e-05, eta: 6:33:30, time: 0.168, data_time: 0.008, memory: 52541, decode.loss_ce: 0.0481, decode.acc_seg: 97.9478, loss: 0.0481 +2023-03-04 03:43:46,410 - mmseg - INFO - Iter [44550/160000] lr: 3.750e-05, eta: 6:33:14, time: 0.165, data_time: 0.008, memory: 52541, decode.loss_ce: 0.0462, decode.acc_seg: 97.9964, loss: 0.0462 +2023-03-04 03:43:54,551 - mmseg - INFO - Iter [44600/160000] lr: 3.750e-05, eta: 6:32:59, time: 0.163, data_time: 0.007, memory: 52541, decode.loss_ce: 0.0475, decode.acc_seg: 97.9914, loss: 0.0475 +2023-03-04 03:44:03,043 - mmseg - INFO - Iter [44650/160000] lr: 3.750e-05, eta: 6:32:44, time: 0.170, data_time: 0.007, memory: 52541, decode.loss_ce: 0.0449, decode.acc_seg: 98.0646, loss: 0.0449 +2023-03-04 03:44:11,401 - mmseg - INFO - Iter [44700/160000] lr: 3.750e-05, eta: 6:32:29, time: 0.167, data_time: 0.008, memory: 52541, decode.loss_ce: 0.0469, decode.acc_seg: 97.9755, loss: 0.0469 +2023-03-04 03:44:19,427 - mmseg - INFO - Iter [44750/160000] lr: 3.750e-05, eta: 6:32:13, time: 0.160, data_time: 0.008, memory: 52541, decode.loss_ce: 0.0485, decode.acc_seg: 97.8962, loss: 0.0485 +2023-03-04 03:44:27,641 - mmseg - INFO - Iter [44800/160000] lr: 3.750e-05, eta: 6:31:58, time: 0.164, data_time: 0.007, memory: 52541, decode.loss_ce: 0.0494, decode.acc_seg: 97.8800, loss: 0.0494 +2023-03-04 03:44:38,650 - mmseg - INFO - Iter [44850/160000] lr: 3.750e-05, eta: 6:31:50, time: 0.220, data_time: 0.053, memory: 52541, decode.loss_ce: 0.0490, decode.acc_seg: 97.9102, loss: 0.0490 +2023-03-04 03:44:46,785 - mmseg - INFO - Iter [44900/160000] lr: 3.750e-05, eta: 6:31:34, time: 0.163, data_time: 0.007, memory: 52541, decode.loss_ce: 0.0465, decode.acc_seg: 97.9850, loss: 0.0465 +2023-03-04 03:44:54,766 - mmseg - INFO - Iter [44950/160000] lr: 3.750e-05, eta: 6:31:18, time: 0.160, data_time: 0.007, memory: 52541, decode.loss_ce: 0.0480, decode.acc_seg: 97.9524, loss: 0.0480 +2023-03-04 03:45:02,987 - mmseg - INFO - Exp name: ablation_segformer_mit_b2_segformer_head_unet_fc_small_multi_step_ade_pretrained_freeze_embed_160k_ade20k151_finetune_ema_wgt.py +2023-03-04 03:45:02,987 - mmseg - INFO - Iter [45000/160000] lr: 3.750e-05, eta: 6:31:03, time: 0.164, data_time: 0.008, memory: 52541, decode.loss_ce: 0.0441, decode.acc_seg: 98.0811, loss: 0.0441 +2023-03-04 03:45:11,725 - mmseg - INFO - Iter [45050/160000] lr: 3.750e-05, eta: 6:30:49, time: 0.175, data_time: 0.008, memory: 52541, decode.loss_ce: 0.0447, decode.acc_seg: 98.0702, loss: 0.0447 +2023-03-04 03:45:20,085 - mmseg - INFO - Iter [45100/160000] lr: 3.750e-05, eta: 6:30:34, time: 0.167, data_time: 0.007, memory: 52541, decode.loss_ce: 0.0461, decode.acc_seg: 98.0086, loss: 0.0461 +2023-03-04 03:45:28,396 - mmseg - INFO - Iter [45150/160000] lr: 3.750e-05, eta: 6:30:19, time: 0.166, data_time: 0.007, memory: 52541, decode.loss_ce: 0.0452, decode.acc_seg: 98.0720, loss: 0.0452 +2023-03-04 03:45:36,847 - mmseg - INFO - Iter [45200/160000] lr: 3.750e-05, eta: 6:30:04, time: 0.169, data_time: 0.008, memory: 52541, decode.loss_ce: 0.0461, decode.acc_seg: 98.0700, loss: 0.0461 +2023-03-04 03:45:45,534 - mmseg - INFO - Iter [45250/160000] lr: 3.750e-05, eta: 6:29:51, time: 0.174, data_time: 0.007, memory: 52541, decode.loss_ce: 0.0453, decode.acc_seg: 98.0685, loss: 0.0453 +2023-03-04 03:45:53,733 - mmseg - INFO - Iter [45300/160000] lr: 3.750e-05, eta: 6:29:35, time: 0.164, data_time: 0.008, memory: 52541, decode.loss_ce: 0.0462, decode.acc_seg: 98.0400, loss: 0.0462 +2023-03-04 03:46:01,961 - mmseg - INFO - Iter [45350/160000] lr: 3.750e-05, eta: 6:29:20, time: 0.165, data_time: 0.008, memory: 52541, decode.loss_ce: 0.0497, decode.acc_seg: 97.8547, loss: 0.0497 +2023-03-04 03:46:10,174 - mmseg - INFO - Iter [45400/160000] lr: 3.750e-05, eta: 6:29:05, time: 0.164, data_time: 0.007, memory: 52541, decode.loss_ce: 0.0471, decode.acc_seg: 97.9565, loss: 0.0471 +2023-03-04 03:46:20,989 - mmseg - INFO - Iter [45450/160000] lr: 3.750e-05, eta: 6:28:56, time: 0.216, data_time: 0.057, memory: 52541, decode.loss_ce: 0.0489, decode.acc_seg: 97.9079, loss: 0.0489 +2023-03-04 03:46:29,411 - mmseg - INFO - Iter [45500/160000] lr: 3.750e-05, eta: 6:28:42, time: 0.168, data_time: 0.008, memory: 52541, decode.loss_ce: 0.0421, decode.acc_seg: 98.1673, loss: 0.0421 +2023-03-04 03:46:37,663 - mmseg - INFO - Iter [45550/160000] lr: 3.750e-05, eta: 6:28:27, time: 0.165, data_time: 0.008, memory: 52541, decode.loss_ce: 0.0460, decode.acc_seg: 98.0140, loss: 0.0460 +2023-03-04 03:46:46,450 - mmseg - INFO - Iter [45600/160000] lr: 3.750e-05, eta: 6:28:13, time: 0.176, data_time: 0.007, memory: 52541, decode.loss_ce: 0.0470, decode.acc_seg: 97.9956, loss: 0.0470 +2023-03-04 03:46:54,587 - mmseg - INFO - Iter [45650/160000] lr: 3.750e-05, eta: 6:27:58, time: 0.163, data_time: 0.007, memory: 52541, decode.loss_ce: 0.0460, decode.acc_seg: 98.0146, loss: 0.0460 +2023-03-04 03:47:03,064 - mmseg - INFO - Iter [45700/160000] lr: 3.750e-05, eta: 6:27:43, time: 0.169, data_time: 0.008, memory: 52541, decode.loss_ce: 0.0461, decode.acc_seg: 98.0172, loss: 0.0461 +2023-03-04 03:47:11,603 - mmseg - INFO - Iter [45750/160000] lr: 3.750e-05, eta: 6:27:29, time: 0.171, data_time: 0.008, memory: 52541, decode.loss_ce: 0.0502, decode.acc_seg: 97.8550, loss: 0.0502 +2023-03-04 03:47:20,133 - mmseg - INFO - Iter [45800/160000] lr: 3.750e-05, eta: 6:27:15, time: 0.171, data_time: 0.007, memory: 52541, decode.loss_ce: 0.0474, decode.acc_seg: 97.9459, loss: 0.0474 +2023-03-04 03:47:28,772 - mmseg - INFO - Iter [45850/160000] lr: 3.750e-05, eta: 6:27:01, time: 0.173, data_time: 0.008, memory: 52541, decode.loss_ce: 0.0486, decode.acc_seg: 97.8892, loss: 0.0486 +2023-03-04 03:47:36,926 - mmseg - INFO - Iter [45900/160000] lr: 3.750e-05, eta: 6:26:46, time: 0.163, data_time: 0.008, memory: 52541, decode.loss_ce: 0.0466, decode.acc_seg: 98.0293, loss: 0.0466 +2023-03-04 03:47:45,148 - mmseg - INFO - Iter [45950/160000] lr: 3.750e-05, eta: 6:26:31, time: 0.164, data_time: 0.007, memory: 52541, decode.loss_ce: 0.0504, decode.acc_seg: 97.9542, loss: 0.0504 +2023-03-04 03:47:53,661 - mmseg - INFO - Exp name: ablation_segformer_mit_b2_segformer_head_unet_fc_small_multi_step_ade_pretrained_freeze_embed_160k_ade20k151_finetune_ema_wgt.py +2023-03-04 03:47:53,661 - mmseg - INFO - Iter [46000/160000] lr: 3.750e-05, eta: 6:26:16, time: 0.170, data_time: 0.007, memory: 52541, decode.loss_ce: 0.0466, decode.acc_seg: 97.9910, loss: 0.0466 +2023-03-04 03:48:02,142 - mmseg - INFO - Iter [46050/160000] lr: 3.750e-05, eta: 6:26:02, time: 0.169, data_time: 0.007, memory: 52541, decode.loss_ce: 0.0489, decode.acc_seg: 97.9395, loss: 0.0489 +2023-03-04 03:48:13,003 - mmseg - INFO - Iter [46100/160000] lr: 3.750e-05, eta: 6:25:53, time: 0.217, data_time: 0.054, memory: 52541, decode.loss_ce: 0.0487, decode.acc_seg: 97.9214, loss: 0.0487 +2023-03-04 03:48:21,008 - mmseg - INFO - Iter [46150/160000] lr: 3.750e-05, eta: 6:25:38, time: 0.160, data_time: 0.008, memory: 52541, decode.loss_ce: 0.0480, decode.acc_seg: 97.9255, loss: 0.0480 +2023-03-04 03:48:29,445 - mmseg - INFO - Iter [46200/160000] lr: 3.750e-05, eta: 6:25:24, time: 0.169, data_time: 0.008, memory: 52541, decode.loss_ce: 0.0454, decode.acc_seg: 98.0439, loss: 0.0454 +2023-03-04 03:48:37,559 - mmseg - INFO - Iter [46250/160000] lr: 3.750e-05, eta: 6:25:08, time: 0.162, data_time: 0.008, memory: 52541, decode.loss_ce: 0.0433, decode.acc_seg: 98.1422, loss: 0.0433 +2023-03-04 03:48:45,746 - mmseg - INFO - Iter [46300/160000] lr: 3.750e-05, eta: 6:24:53, time: 0.163, data_time: 0.008, memory: 52541, decode.loss_ce: 0.0459, decode.acc_seg: 98.0131, loss: 0.0459 +2023-03-04 03:48:54,052 - mmseg - INFO - Iter [46350/160000] lr: 3.750e-05, eta: 6:24:39, time: 0.166, data_time: 0.008, memory: 52541, decode.loss_ce: 0.0454, decode.acc_seg: 98.0233, loss: 0.0454 +2023-03-04 03:49:02,241 - mmseg - INFO - Iter [46400/160000] lr: 3.750e-05, eta: 6:24:24, time: 0.163, data_time: 0.008, memory: 52541, decode.loss_ce: 0.0464, decode.acc_seg: 98.0110, loss: 0.0464 +2023-03-04 03:49:10,749 - mmseg - INFO - Iter [46450/160000] lr: 3.750e-05, eta: 6:24:10, time: 0.170, data_time: 0.008, memory: 52541, decode.loss_ce: 0.0502, decode.acc_seg: 97.8693, loss: 0.0502 +2023-03-04 03:49:19,247 - mmseg - INFO - Iter [46500/160000] lr: 3.750e-05, eta: 6:23:55, time: 0.170, data_time: 0.008, memory: 52541, decode.loss_ce: 0.0491, decode.acc_seg: 97.8946, loss: 0.0491 +2023-03-04 03:49:27,681 - mmseg - INFO - Iter [46550/160000] lr: 3.750e-05, eta: 6:23:41, time: 0.169, data_time: 0.008, memory: 52541, decode.loss_ce: 0.0460, decode.acc_seg: 98.0259, loss: 0.0460 +2023-03-04 03:49:35,915 - mmseg - INFO - Iter [46600/160000] lr: 3.750e-05, eta: 6:23:26, time: 0.165, data_time: 0.008, memory: 52541, decode.loss_ce: 0.0431, decode.acc_seg: 98.1448, loss: 0.0431 +2023-03-04 03:49:43,920 - mmseg - INFO - Iter [46650/160000] lr: 3.750e-05, eta: 6:23:11, time: 0.160, data_time: 0.008, memory: 52541, decode.loss_ce: 0.0448, decode.acc_seg: 98.0904, loss: 0.0448 +2023-03-04 03:49:54,927 - mmseg - INFO - Iter [46700/160000] lr: 3.750e-05, eta: 6:23:03, time: 0.220, data_time: 0.052, memory: 52541, decode.loss_ce: 0.0470, decode.acc_seg: 97.9924, loss: 0.0470 +2023-03-04 03:50:03,599 - mmseg - INFO - Iter [46750/160000] lr: 3.750e-05, eta: 6:22:49, time: 0.174, data_time: 0.007, memory: 52541, decode.loss_ce: 0.0453, decode.acc_seg: 98.0428, loss: 0.0453 +2023-03-04 03:50:12,218 - mmseg - INFO - Iter [46800/160000] lr: 3.750e-05, eta: 6:22:35, time: 0.172, data_time: 0.007, memory: 52541, decode.loss_ce: 0.0469, decode.acc_seg: 97.9985, loss: 0.0469 +2023-03-04 03:50:20,496 - mmseg - INFO - Iter [46850/160000] lr: 3.750e-05, eta: 6:22:21, time: 0.166, data_time: 0.007, memory: 52541, decode.loss_ce: 0.0465, decode.acc_seg: 98.0350, loss: 0.0465 +2023-03-04 03:50:29,342 - mmseg - INFO - Iter [46900/160000] lr: 3.750e-05, eta: 6:22:07, time: 0.177, data_time: 0.007, memory: 52541, decode.loss_ce: 0.0465, decode.acc_seg: 98.0094, loss: 0.0465 +2023-03-04 03:50:37,777 - mmseg - INFO - Iter [46950/160000] lr: 3.750e-05, eta: 6:21:53, time: 0.169, data_time: 0.007, memory: 52541, decode.loss_ce: 0.0477, decode.acc_seg: 97.9588, loss: 0.0477 +2023-03-04 03:50:46,435 - mmseg - INFO - Exp name: ablation_segformer_mit_b2_segformer_head_unet_fc_small_multi_step_ade_pretrained_freeze_embed_160k_ade20k151_finetune_ema_wgt.py +2023-03-04 03:50:46,435 - mmseg - INFO - Iter [47000/160000] lr: 3.750e-05, eta: 6:21:40, time: 0.173, data_time: 0.007, memory: 52541, decode.loss_ce: 0.0465, decode.acc_seg: 98.0124, loss: 0.0465 +2023-03-04 03:50:54,623 - mmseg - INFO - Iter [47050/160000] lr: 3.750e-05, eta: 6:21:25, time: 0.164, data_time: 0.007, memory: 52541, decode.loss_ce: 0.0433, decode.acc_seg: 98.1066, loss: 0.0433 +2023-03-04 03:51:03,069 - mmseg - INFO - Iter [47100/160000] lr: 3.750e-05, eta: 6:21:11, time: 0.169, data_time: 0.007, memory: 52541, decode.loss_ce: 0.0481, decode.acc_seg: 97.9782, loss: 0.0481 +2023-03-04 03:51:11,705 - mmseg - INFO - Iter [47150/160000] lr: 3.750e-05, eta: 6:20:57, time: 0.173, data_time: 0.008, memory: 52541, decode.loss_ce: 0.0474, decode.acc_seg: 97.9697, loss: 0.0474 +2023-03-04 03:51:19,822 - mmseg - INFO - Iter [47200/160000] lr: 3.750e-05, eta: 6:20:42, time: 0.162, data_time: 0.008, memory: 52541, decode.loss_ce: 0.0459, decode.acc_seg: 98.0392, loss: 0.0459 +2023-03-04 03:51:28,291 - mmseg - INFO - Iter [47250/160000] lr: 3.750e-05, eta: 6:20:28, time: 0.169, data_time: 0.008, memory: 52541, decode.loss_ce: 0.0477, decode.acc_seg: 97.9464, loss: 0.0477 +2023-03-04 03:51:36,502 - mmseg - INFO - Iter [47300/160000] lr: 3.750e-05, eta: 6:20:13, time: 0.164, data_time: 0.007, memory: 52541, decode.loss_ce: 0.0481, decode.acc_seg: 97.9597, loss: 0.0481 +2023-03-04 03:51:47,569 - mmseg - INFO - Iter [47350/160000] lr: 3.750e-05, eta: 6:20:05, time: 0.222, data_time: 0.059, memory: 52541, decode.loss_ce: 0.0441, decode.acc_seg: 98.0725, loss: 0.0441 +2023-03-04 03:51:55,977 - mmseg - INFO - Iter [47400/160000] lr: 3.750e-05, eta: 6:19:51, time: 0.168, data_time: 0.007, memory: 52541, decode.loss_ce: 0.0483, decode.acc_seg: 97.9339, loss: 0.0483 +2023-03-04 03:52:04,094 - mmseg - INFO - Iter [47450/160000] lr: 3.750e-05, eta: 6:19:36, time: 0.162, data_time: 0.008, memory: 52541, decode.loss_ce: 0.0493, decode.acc_seg: 97.9491, loss: 0.0493 +2023-03-04 03:52:12,525 - mmseg - INFO - Iter [47500/160000] lr: 3.750e-05, eta: 6:19:22, time: 0.169, data_time: 0.007, memory: 52541, decode.loss_ce: 0.0481, decode.acc_seg: 97.9160, loss: 0.0481 +2023-03-04 03:52:20,930 - mmseg - INFO - Iter [47550/160000] lr: 3.750e-05, eta: 6:19:08, time: 0.168, data_time: 0.007, memory: 52541, decode.loss_ce: 0.0475, decode.acc_seg: 97.9522, loss: 0.0475 +2023-03-04 03:52:29,021 - mmseg - INFO - Iter [47600/160000] lr: 3.750e-05, eta: 6:18:53, time: 0.162, data_time: 0.008, memory: 52541, decode.loss_ce: 0.0477, decode.acc_seg: 97.9766, loss: 0.0477 +2023-03-04 03:52:37,265 - mmseg - INFO - Iter [47650/160000] lr: 3.750e-05, eta: 6:18:39, time: 0.165, data_time: 0.008, memory: 52541, decode.loss_ce: 0.0477, decode.acc_seg: 97.9796, loss: 0.0477 +2023-03-04 03:52:45,402 - mmseg - INFO - Iter [47700/160000] lr: 3.750e-05, eta: 6:18:24, time: 0.163, data_time: 0.008, memory: 52541, decode.loss_ce: 0.0445, decode.acc_seg: 98.0856, loss: 0.0445 +2023-03-04 03:52:54,067 - mmseg - INFO - Iter [47750/160000] lr: 3.750e-05, eta: 6:18:10, time: 0.173, data_time: 0.009, memory: 52541, decode.loss_ce: 0.0448, decode.acc_seg: 98.0658, loss: 0.0448 +2023-03-04 03:53:02,265 - mmseg - INFO - Iter [47800/160000] lr: 3.750e-05, eta: 6:17:56, time: 0.164, data_time: 0.008, memory: 52541, decode.loss_ce: 0.0456, decode.acc_seg: 98.0484, loss: 0.0456 +2023-03-04 03:53:10,348 - mmseg - INFO - Iter [47850/160000] lr: 3.750e-05, eta: 6:17:41, time: 0.162, data_time: 0.007, memory: 52541, decode.loss_ce: 0.0446, decode.acc_seg: 98.0652, loss: 0.0446 +2023-03-04 03:53:18,530 - mmseg - INFO - Iter [47900/160000] lr: 3.750e-05, eta: 6:17:26, time: 0.163, data_time: 0.008, memory: 52541, decode.loss_ce: 0.0460, decode.acc_seg: 98.0308, loss: 0.0460 +2023-03-04 03:53:26,920 - mmseg - INFO - Iter [47950/160000] lr: 3.750e-05, eta: 6:17:12, time: 0.168, data_time: 0.007, memory: 52541, decode.loss_ce: 0.0454, decode.acc_seg: 98.0340, loss: 0.0454 +2023-03-04 03:53:37,685 - mmseg - INFO - Swap parameters (after train) after iter [48000] +2023-03-04 03:53:37,699 - mmseg - INFO - Saving checkpoint at 48000 iterations +2023-03-04 03:53:38,713 - mmseg - INFO - Exp name: ablation_segformer_mit_b2_segformer_head_unet_fc_small_multi_step_ade_pretrained_freeze_embed_160k_ade20k151_finetune_ema_wgt.py +2023-03-04 03:53:38,713 - mmseg - INFO - Iter [48000/160000] lr: 3.750e-05, eta: 6:17:06, time: 0.236, data_time: 0.053, memory: 52541, decode.loss_ce: 0.0440, decode.acc_seg: 98.0897, loss: 0.0440 +2023-03-04 04:04:35,269 - mmseg - INFO - per class results: +2023-03-04 04:04:35,278 - mmseg - INFO - ++---------------------+-------------------------------------------------------------------+ +| Class | IoU 0,10,20,30,40,50,60,70,80,90,99 | ++---------------------+-------------------------------------------------------------------+ +| background | nan,nan,nan,nan,nan,nan,nan,nan,nan,nan,nan | +| wall | 76.84,76.12,74.49,71.51,67.47,63.32,59.55,56.47,54.1,52.37,51.34 | +| building | 81.44,81.13,80.46,79.13,76.86,73.91,70.85,68.11,65.99,64.52,63.69 | +| sky | 94.34,94.05,93.61,92.44,90.26,87.27,84.04,81.2,78.91,77.22,76.12 | +| floor | 81.21,80.44,79.35,76.97,73.36,69.18,65.16,61.76,59.14,57.31,56.22 | +| tree | 73.57,72.37,70.76,67.53,62.54,56.68,51.34,47.1,44.06,41.81,40.35 | +| ceiling | 84.59,84.37,81.83,76.8,69.76,62.56,56.18,50.86,46.59,43.28,41.06 | +| road | 81.29,80.84,79.49,77.1,74.33,71.67,69.24,67.17,65.53,64.28,63.42 | +| bed | 87.34,87.96,87.39,85.61,82.46,78.26,73.85,69.74,66.35,63.92,62.5 | +| windowpane | 59.34,59.25,57.91,55.35,52.23,48.94,45.63,42.92,40.59,38.97,38.05 | +| grass | 66.31,66.38,65.24,63.27,60.68,58.07,55.9,54.1,52.68,51.65,51.05 | +| cabinet | 59.65,60.66,59.87,58.26,56.07,53.19,50.07,47.2,44.9,43.2,42.13 | +| sidewalk | 62.55,62.03,59.0,54.03,48.83,44.98,42.52,40.82,39.62,38.8,38.29 | +| person | 78.37,78.24,76.96,74.48,70.2,64.17,57.76,51.91,47.36,44.03,42.06 | +| earth | 35.52,36.18,36.14,35.78,35.06,34.18,33.24,32.46,31.9,31.51,31.32 | +| door | 45.63,43.88,42.3,39.64,36.3,33.36,30.94,28.74,27.19,26.01,25.37 | +| table | 58.42,58.78,57.92,55.33,51.16,45.78,40.42,35.92,32.3,29.73,28.23 | +| mountain | 56.77,56.7,56.51,55.59,53.89,51.84,49.74,48.01,46.68,45.73,45.17 | +| plant | 50.57,49.7,48.64,46.71,43.71,40.22,36.89,34.06,31.89,30.39,29.54 | +| curtain | 73.18,73.69,71.91,68.44,63.75,58.45,53.14,48.69,45.03,42.45,40.94 | +| chair | 54.24,54.1,53.55,51.83,48.54,43.95,38.58,33.94,30.3,27.8,26.43 | +| car | 80.87,81.62,81.09,79.36,76.16,71.46,65.92,60.23,55.74,52.44,50.61 | +| water | 55.12,56.33,56.29,55.62,54.57,53.21,51.94,50.87,50.0,49.35,48.94 | +| painting | 69.36,69.15,68.46,67.1,65.21,63.02,60.72,58.97,57.43,56.29,55.66 | +| sofa | 61.44,63.01,62.64,61.83,60.04,57.28,53.62,49.9,46.65,44.4,43.22 | +| shelf | 44.57,42.54,41.58,39.5,37.27,34.65,32.15,30.05,28.47,27.45,26.73 | +| house | 38.92,36.73,36.7,36.7,36.27,35.58,34.84,33.98,33.32,32.72,32.25 | +| sea | 57.77,59.23,59.75,59.05,57.88,56.49,55.03,53.85,52.68,51.84,51.42 | +| mirror | 62.14,62.69,61.8,60.11,57.49,54.59,51.35,48.08,45.21,42.84,40.93 | +| rug | 62.26,62.92,62.25,60.02,56.11,51.45,46.91,43.0,40.06,38.12,36.96 | +| field | 30.16,30.89,30.59,30.28,29.79,29.41,29.17,28.93,28.7,28.5,28.32 | +| armchair | 35.81,36.34,36.18,35.39,34.16,32.06,29.14,26.29,23.86,21.77,20.5 | +| seat | 65.49,65.43,65.02,63.65,61.61,58.55,55.65,52.93,50.76,48.65,47.18 | +| fence | 40.67,40.95,39.02,36.66,33.72,30.85,28.57,26.94,25.66,25.02,24.69 | +| desk | 45.43,44.11,44.57,42.97,41.09,38.32,35.92,33.81,32.05,30.76,30.01 | +| rock | 36.34,35.42,34.32,33.27,31.74,30.04,28.35,27.2,26.43,26.0,25.66 | +| wardrobe | 55.63,56.93,56.05,54.09,51.68,49.97,48.12,46.42,44.85,43.46,42.58 | +| lamp | 59.37,59.72,59.95,58.27,55.42,52.01,47.26,42.16,37.03,32.83,29.98 | +| bathtub | 71.96,73.12,72.94,71.3,68.81,65.66,61.35,56.76,52.75,49.48,47.24 | +| railing | 32.92,33.24,32.46,30.88,28.79,26.36,24.11,22.34,21.08,20.33,19.95 | +| cushion | 54.06,54.26,53.58,53.08,51.57,49.55,45.73,40.74,34.9,29.88,26.66 | +| base | 21.45,18.06,17.95,17.23,16.25,15.14,14.13,13.32,13.03,13.07,13.16 | +| box | 22.17,21.4,21.78,21.25,20.03,18.72,17.42,16.24,15.17,14.11,13.43 | +| column | 44.87,45.69,44.47,42.25,38.23,33.75,29.42,25.81,23.28,21.75,21.06 | +| signboard | 36.8,36.88,36.44,35.52,33.15,30.35,27.29,24.25,21.51,19.62,18.51 | +| chest of drawers | 36.77,37.73,37.52,36.83,35.9,34.92,33.55,32.23,31.34,30.54,30.11 | +| counter | 30.86,31.25,31.07,29.75,28.3,26.34,23.95,22.0,20.38,19.37,18.54 | +| sand | 38.75,38.84,38.89,38.65,38.54,38.05,37.44,37.1,36.79,36.54,36.58 | +| sink | 66.51,66.57,66.3,63.88,60.77,56.05,50.11,44.18,38.85,34.58,32.02 | +| skyscraper | 50.39,50.06,49.34,48.52,47.8,46.52,45.37,43.99,42.97,42.16,41.61 | +| fireplace | 76.04,76.88,74.92,73.73,71.03,68.62,65.64,62.18,58.84,56.19,54.49 | +| refrigerator | 72.29,72.7,71.41,69.41,66.33,63.23,59.88,56.77,54.42,52.39,51.07 | +| grandstand | 51.69,55.92,56.63,56.28,54.55,52.4,50.26,48.08,46.4,44.85,43.66 | +| path | 21.07,20.92,20.79,20.77,19.05,17.14,16.02,15.43,14.79,14.47,14.26 | +| stairs | 32.94,32.38,31.0,30.08,28.58,26.59,25.0,23.4,21.92,20.74,20.2 | +| runway | 66.08,64.89,64.43,63.45,62.62,61.94,61.65,61.18,60.66,60.19,59.89 | +| case | 45.75,45.3,44.84,43.21,41.31,40.16,39.52,39.1,39.22,39.61,39.98 | +| pool table | 91.36,91.42,89.99,87.82,85.15,81.34,76.75,72.35,68.08,65.16,63.32 | +| pillow | 57.06,56.56,55.55,54.03,50.82,45.74,39.51,33.06,27.2,22.64,20.0 | +| screen door | 66.63,64.16,61.01,56.8,52.14,47.18,42.75,38.49,35.08,32.04,29.67 | +| stairway | 23.26,22.53,22.33,21.79,21.16,19.59,17.95,16.61,15.64,15.34,14.84 | +| river | 11.71,11.39,11.32,11.12,10.88,10.6,10.34,10.09,9.91,9.78,9.68 | +| bridge | 30.27,28.76,28.17,27.3,25.8,24.35,22.96,21.9,21.21,20.65,20.26 | +| bookcase | 45.09,46.05,45.21,43.16,39.46,35.25,31.71,28.86,25.99,24.26,23.17 | +| blind | 34.81,35.55,35.25,34.71,34.23,33.91,33.36,32.69,31.95,31.24,30.97 | +| coffee table | 53.32,52.88,53.34,52.41,50.3,46.93,43.19,39.35,35.96,33.07,31.22 | +| toilet | 81.7,82.15,81.94,80.75,78.37,74.65,70.54,66.27,62.04,58.51,56.1 | +| flower | 39.06,39.12,38.03,35.09,31.38,27.28,22.82,19.0,16.81,15.06,14.04 | +| book | 43.13,42.1,41.26,39.68,37.36,34.76,32.74,31.25,29.81,28.67,27.9 | +| hill | 13.5,14.64,14.48,14.41,13.22,12.35,11.71,11.32,10.99,10.63,10.4 | +| bench | 40.26,41.2,40.3,39.11,37.36,35.73,33.95,32.39,30.94,29.74,28.89 | +| countertop | 51.02,53.75,53.52,52.61,49.11,43.88,38.56,33.93,30.51,27.72,26.15 | +| stove | 70.48,70.27,69.41,67.48,64.38,60.84,56.65,52.22,48.62,45.69,43.91 | +| palm | 47.75,47.83,46.01,43.9,40.93,37.58,34.59,31.14,28.1,25.98,24.16 | +| kitchen island | 39.17,39.43,41.55,41.36,40.7,38.77,36.47,34.02,31.58,29.85,28.68 | +| computer | 58.3,57.41,57.72,56.34,54.75,52.56,50.29,48.34,46.18,44.1,42.69 | +| swivel chair | 45.14,45.09,45.01,44.4,42.92,40.37,37.47,33.75,31.12,28.96,27.35 | +| boat | 70.16,74.24,74.12,71.73,67.41,62.59,58.1,54.25,51.35,49.39,48.35 | +| bar | 21.91,22.64,23.05,22.72,21.58,20.52,19.25,18.22,17.41,16.82,16.44 | +| arcade machine | 69.29,62.98,58.64,53.66,48.18,41.95,35.73,30.2,25.87,22.21,19.28 | +| hovel | 24.45,27.37,28.97,28.08,27.45,26.54,25.93,25.47,24.84,24.28,23.88 | +| bus | 76.59,80.13,79.94,78.77,77.16,74.57,71.66,69.34,67.29,65.76,64.89 | +| towel | 58.95,63.04,62.51,60.78,55.54,50.01,45.57,40.83,36.23,32.72,30.63 | +| light | 48.94,52.7,53.42,52.67,50.91,47.46,44.21,39.95,36.46,33.08,30.83 | +| truck | 18.44,24.23,24.23,24.43,23.36,22.2,20.67,18.98,17.03,15.41,13.96 | +| tower | 8.67,10.96,10.09,9.4,8.41,7.04,5.96,5.06,4.14,3.51,3.1 | +| chandelier | 62.3,63.07,62.49,60.37,58.69,55.25,50.18,44.88,39.67,35.47,32.72 | +| awning | 21.54,23.92,23.69,21.38,19.12,16.55,13.22,10.23,7.72,5.37,4.64 | +| streetlight | 22.72,23.93,23.33,23.64,22.08,20.06,17.26,14.84,12.36,10.64,9.55 | +| booth | 37.46,38.12,37.92,37.22,35.46,34.12,33.04,31.87,30.99,30.53,30.18 | +| television receiver | 64.04,63.83,63.24,61.86,58.89,56.15,52.41,49.2,46.15,43.58,41.25 | +| airplane | 58.42,59.66,57.09,54.42,50.78,45.95,42.11,38.25,34.79,32.29,31.15 | +| dirt track | 7.77,12.3,16.77,19.74,19.82,19.56,16.68,14.14,12.19,11.05,10.36 | +| apparel | 30.77,29.23,27.59,26.47,24.67,23.23,20.57,18.65,17.59,16.8,16.46 | +| pole | 14.38,17.79,19.48,16.74,14.91,12.92,10.97,9.5,8.63,7.45,6.64 | +| land | 2.99,3.8,4.02,4.66,5.32,5.69,6.05,6.15,6.11,6.11,6.15 | +| bannister | 10.88,10.1,9.19,9.56,9.5,8.76,7.7,6.65,6.28,6.02,5.69 | +| escalator | 20.01,18.65,17.74,17.16,16.65,15.97,15.51,14.82,14.04,13.33,12.63 | +| ottoman | 41.02,41.78,39.94,39.19,37.58,35.65,33.53,31.25,28.92,26.93,25.44 | +| bottle | 29.73,32.74,32.96,32.68,31.76,30.79,29.22,26.97,24.99,23.84,23.34 | +| buffet | 37.53,44.48,44.24,42.98,40.79,38.57,36.21,33.79,32.04,30.71,30.04 | +| poster | 23.36,24.22,23.78,23.6,23.45,22.74,22.28,21.57,21.35,21.08,20.79 | +| stage | 13.65,11.46,11.9,12.05,11.83,11.48,11.45,11.36,11.58,11.93,12.21 | +| van | 39.67,40.08,38.71,37.47,35.77,32.98,30.8,28.94,27.23,26.21,25.57 | +| ship | 78.6,80.75,82.48,83.36,83.34,82.07,81.23,80.32,78.74,77.56,76.99 | +| fountain | 11.59,10.07,9.44,7.79,6.34,4.84,3.9,3.04,2.32,1.93,1.54 | +| conveyer belt | 81.41,84.11,82.42,81.56,79.06,76.14,72.79,70.11,68.28,66.39,64.94 | +| canopy | 18.33,21.87,23.42,22.46,20.59,19.08,16.12,14.26,12.81,11.48,10.02 | +| washer | 78.39,74.29,71.54,69.38,67.2,65.37,63.43,62.1,61.02,60.32,59.67 | +| plaything | 17.42,19.1,19.82,19.06,17.52,16.16,14.5,12.66,11.02,9.77,8.78 | +| swimming pool | 71.72,72.35,72.83,76.0,75.56,73.11,70.15,67.07,63.53,60.78,59.24 | +| stool | 41.54,40.99,43.61,42.49,38.13,33.62,27.53,22.87,19.14,16.82,15.92 | +| barrel | 39.97,48.14,46.32,39.94,25.67,20.72,18.79,18.56,17.5,15.45,14.87 | +| basket | 22.81,24.62,26.82,25.82,24.96,23.85,21.85,19.49,17.39,15.3,13.47 | +| waterfall | 50.5,48.11,47.51,46.26,45.29,43.81,42.39,40.62,39.73,39.05,38.17 | +| tent | 94.11,95.45,94.1,89.52,84.57,80.15,75.62,71.9,68.27,64.81,62.32 | +| bag | 11.38,12.24,12.64,11.39,10.05,7.88,6.17,4.93,4.07,3.54,3.19 | +| minibike | 61.06,62.79,61.85,60.46,58.82,53.48,47.26,40.52,34.91,30.45,28.34 | +| cradle | 80.57,83.74,82.36,78.29,73.18,67.71,62.47,58.03,55.09,53.27,51.78 | +| oven | 46.45,48.53,47.48,47.6,46.6,45.03,43.69,42.15,40.26,38.33,37.33 | +| ball | 41.84,39.23,38.57,36.33,33.14,30.36,28.37,26.66,24.85,24.08,23.81 | +| food | 48.11,54.27,52.48,50.39,47.14,44.19,40.87,37.56,35.35,33.65,32.69 | +| step | 8.79,4.76,2.95,2.61,2.28,2.1,1.71,1.18,0.18,0.0,0.0 | +| tank | 51.93,50.89,49.38,47.36,45.93,44.0,42.13,40.63,39.3,38.23,37.12 | +| trade name | 24.68,32.71,32.68,30.53,26.93,22.38,17.73,13.03,9.97,8.2,7.14 | +| microwave | 75.44,77.54,76.87,75.97,74.4,72.02,69.25,66.25,63.62,61.34,59.81 | +| pot | 29.88,29.12,29.52,27.38,25.38,22.47,19.26,16.57,14.2,12.71,11.52 | +| animal | 53.49,49.87,48.9,47.89,46.64,44.92,42.96,40.57,38.28,36.43,34.91 | +| bicycle | 48.99,50.18,46.98,45.44,40.84,36.2,31.01,26.65,23.09,20.77,19.66 | +| lake | 55.47,56.45,56.82,56.81,56.69,56.2,55.78,55.51,55.23,54.91,54.59 | +| dishwasher | 67.12,68.02,67.77,65.68,62.3,58.66,54.05,50.03,46.85,44.06,42.18 | +| screen | 70.05,77.96,77.51,77.7,76.56,74.48,73.18,72.21,71.59,71.38,71.3 | +| blanket | 11.81,16.57,16.19,15.59,13.26,11.71,10.35,9.28,8.47,7.85,7.64 | +| sculpture | 61.25,59.38,55.03,49.54,43.37,38.72,35.03,32.31,31.14,31.04,31.32 | +| hood | 56.7,55.94,57.11,56.34,54.57,52.22,48.12,43.31,38.81,35.3,33.83 | +| sconce | 37.61,39.27,38.17,36.43,33.96,30.35,27.2,23.84,20.33,17.28,15.85 | +| vase | 34.14,34.72,35.44,33.97,32.6,30.0,27.03,24.27,21.42,18.69,16.89 | +| traffic light | 27.5,32.12,28.27,27.05,25.38,23.61,22.16,19.32,16.69,14.56,14.43 | +| tray | 3.47,4.87,5.46,5.63,5.41,5.41,5.31,4.74,4.35,4.34,4.3 | +| ashcan | 38.67,42.38,43.19,41.15,38.78,34.86,30.58,27.08,24.0,21.5,20.16 | +| fan | 52.36,53.14,53.72,54.76,52.81,48.12,42.14,36.27,31.69,28.86,25.7 | +| pier | 37.75,44.09,48.02,47.46,45.98,43.14,40.85,38.34,36.33,35.28,34.81 | +| crt screen | 9.03,10.67,11.84,12.3,12.95,12.16,10.52,9.41,8.52,7.53,6.9 | +| plate | 43.85,48.65,47.91,47.06,44.75,41.68,36.37,31.73,27.18,23.5,20.78 | +| monitor | 24.64,14.17,11.5,10.2,9.6,8.82,7.9,6.96,6.22,5.67,5.34 | +| bulletin board | 36.93,34.04,34.1,32.34,29.7,24.99,20.58,17.33,14.47,13.22,12.73 | +| shower | 0.5,0.06,0.69,0.52,0.63,0.51,0.62,0.95,0.98,0.98,0.96 | +| radiator | 52.1,53.59,53.95,50.56,44.17,36.26,29.63,25.45,21.98,19.69,18.57 | +| glass | 11.03,11.6,13.69,13.56,13.16,12.03,10.19,8.72,7.27,6.66,6.09 | +| clock | 29.99,27.26,30.67,30.22,25.71,22.55,18.55,15.3,12.75,10.92,10.14 | +| flag | 30.4,27.26,27.23,26.59,24.82,22.95,21.03,18.83,17.07,15.55,14.33 | ++---------------------+-------------------------------------------------------------------+ +2023-03-04 04:04:35,278 - mmseg - INFO - Summary: +2023-03-04 04:04:35,278 - mmseg - INFO - ++-----------------------------------------------------------------+ +| mIoU 0,10,20,30,40,50,60,70,80,90,99 | ++-----------------------------------------------------------------+ +| 46.64,47.23,46.76,45.4,43.16,40.5,37.71,35.14,32.97,31.32,30.29 | ++-----------------------------------------------------------------+ +2023-03-04 04:04:35,278 - mmseg - INFO - Exp name: ablation_segformer_mit_b2_segformer_head_unet_fc_small_multi_step_ade_pretrained_freeze_embed_160k_ade20k151_finetune_ema_wgt.py +2023-03-04 04:04:35,278 - mmseg - INFO - Iter(val) [250] mIoU: [0.4664, 0.4723, 0.4676, 0.454, 0.4316, 0.405, 0.3771, 0.3514, 0.3297, 0.3132, 0.3029], copy_paste: 46.64,47.23,46.76,45.4,43.16,40.5,37.71,35.14,32.97,31.32,30.29 +2023-03-04 04:04:35,286 - mmseg - INFO - Swap parameters (before train) before iter [48001] +2023-03-04 04:04:43,884 - mmseg - INFO - Iter [48050/160000] lr: 3.750e-05, eta: 6:42:22, time: 13.303, data_time: 13.139, memory: 52541, decode.loss_ce: 0.0470, decode.acc_seg: 97.9673, loss: 0.0470 +2023-03-04 04:04:52,533 - mmseg - INFO - Iter [48100/160000] lr: 3.750e-05, eta: 6:42:06, time: 0.173, data_time: 0.007, memory: 52541, decode.loss_ce: 0.0470, decode.acc_seg: 98.0223, loss: 0.0470 +2023-03-04 04:05:00,665 - mmseg - INFO - Iter [48150/160000] lr: 3.750e-05, eta: 6:41:49, time: 0.163, data_time: 0.008, memory: 52541, decode.loss_ce: 0.0459, decode.acc_seg: 98.0298, loss: 0.0459 +2023-03-04 04:05:09,110 - mmseg - INFO - Iter [48200/160000] lr: 3.750e-05, eta: 6:41:33, time: 0.169, data_time: 0.007, memory: 52541, decode.loss_ce: 0.0459, decode.acc_seg: 98.0446, loss: 0.0459 +2023-03-04 04:05:17,274 - mmseg - INFO - Iter [48250/160000] lr: 3.750e-05, eta: 6:41:16, time: 0.163, data_time: 0.008, memory: 52541, decode.loss_ce: 0.0511, decode.acc_seg: 97.8822, loss: 0.0511 +2023-03-04 04:05:25,799 - mmseg - INFO - Iter [48300/160000] lr: 3.750e-05, eta: 6:41:00, time: 0.170, data_time: 0.008, memory: 52541, decode.loss_ce: 0.0470, decode.acc_seg: 97.9941, loss: 0.0470 +2023-03-04 04:05:34,058 - mmseg - INFO - Iter [48350/160000] lr: 3.750e-05, eta: 6:40:44, time: 0.165, data_time: 0.008, memory: 52541, decode.loss_ce: 0.0507, decode.acc_seg: 97.8816, loss: 0.0507 +2023-03-04 04:05:42,935 - mmseg - INFO - Iter [48400/160000] lr: 3.750e-05, eta: 6:40:29, time: 0.177, data_time: 0.007, memory: 52541, decode.loss_ce: 0.0473, decode.acc_seg: 98.0129, loss: 0.0473 +2023-03-04 04:05:51,722 - mmseg - INFO - Iter [48450/160000] lr: 3.750e-05, eta: 6:40:13, time: 0.176, data_time: 0.008, memory: 52541, decode.loss_ce: 0.0462, decode.acc_seg: 98.0300, loss: 0.0462 +2023-03-04 04:05:59,977 - mmseg - INFO - Iter [48500/160000] lr: 3.750e-05, eta: 6:39:57, time: 0.165, data_time: 0.008, memory: 52541, decode.loss_ce: 0.0486, decode.acc_seg: 97.9409, loss: 0.0486 +2023-03-04 04:06:08,351 - mmseg - INFO - Iter [48550/160000] lr: 3.750e-05, eta: 6:39:41, time: 0.167, data_time: 0.007, memory: 52541, decode.loss_ce: 0.0458, decode.acc_seg: 98.0552, loss: 0.0458 +2023-03-04 04:06:19,870 - mmseg - INFO - Iter [48600/160000] lr: 3.750e-05, eta: 6:39:32, time: 0.230, data_time: 0.054, memory: 52541, decode.loss_ce: 0.0431, decode.acc_seg: 98.1547, loss: 0.0431 +2023-03-04 04:06:28,107 - mmseg - INFO - Iter [48650/160000] lr: 3.750e-05, eta: 6:39:15, time: 0.165, data_time: 0.008, memory: 52541, decode.loss_ce: 0.0471, decode.acc_seg: 97.9701, loss: 0.0471 +2023-03-04 04:06:36,500 - mmseg - INFO - Iter [48700/160000] lr: 3.750e-05, eta: 6:38:59, time: 0.168, data_time: 0.008, memory: 52541, decode.loss_ce: 0.0454, decode.acc_seg: 98.0402, loss: 0.0454 +2023-03-04 04:06:44,730 - mmseg - INFO - Iter [48750/160000] lr: 3.750e-05, eta: 6:38:42, time: 0.165, data_time: 0.007, memory: 52541, decode.loss_ce: 0.0475, decode.acc_seg: 98.0243, loss: 0.0475 +2023-03-04 04:06:53,307 - mmseg - INFO - Iter [48800/160000] lr: 3.750e-05, eta: 6:38:27, time: 0.171, data_time: 0.008, memory: 52541, decode.loss_ce: 0.0473, decode.acc_seg: 97.9590, loss: 0.0473 +2023-03-04 04:07:01,481 - mmseg - INFO - Iter [48850/160000] lr: 3.750e-05, eta: 6:38:10, time: 0.164, data_time: 0.008, memory: 52541, decode.loss_ce: 0.0430, decode.acc_seg: 98.1202, loss: 0.0430 +2023-03-04 04:07:09,644 - mmseg - INFO - Iter [48900/160000] lr: 3.750e-05, eta: 6:37:53, time: 0.163, data_time: 0.008, memory: 52541, decode.loss_ce: 0.0476, decode.acc_seg: 97.9400, loss: 0.0476 +2023-03-04 04:07:17,759 - mmseg - INFO - Iter [48950/160000] lr: 3.750e-05, eta: 6:37:37, time: 0.162, data_time: 0.008, memory: 52541, decode.loss_ce: 0.0460, decode.acc_seg: 98.0221, loss: 0.0460 +2023-03-04 04:07:26,265 - mmseg - INFO - Exp name: ablation_segformer_mit_b2_segformer_head_unet_fc_small_multi_step_ade_pretrained_freeze_embed_160k_ade20k151_finetune_ema_wgt.py +2023-03-04 04:07:26,265 - mmseg - INFO - Iter [49000/160000] lr: 3.750e-05, eta: 6:37:21, time: 0.170, data_time: 0.007, memory: 52541, decode.loss_ce: 0.0461, decode.acc_seg: 98.0063, loss: 0.0461 +2023-03-04 04:07:34,548 - mmseg - INFO - Iter [49050/160000] lr: 3.750e-05, eta: 6:37:05, time: 0.166, data_time: 0.007, memory: 52541, decode.loss_ce: 0.0444, decode.acc_seg: 98.0964, loss: 0.0444 +2023-03-04 04:07:42,573 - mmseg - INFO - Iter [49100/160000] lr: 3.750e-05, eta: 6:36:48, time: 0.160, data_time: 0.007, memory: 52541, decode.loss_ce: 0.0449, decode.acc_seg: 98.0718, loss: 0.0449 +2023-03-04 04:07:51,289 - mmseg - INFO - Iter [49150/160000] lr: 3.750e-05, eta: 6:36:33, time: 0.174, data_time: 0.008, memory: 52541, decode.loss_ce: 0.0489, decode.acc_seg: 97.9186, loss: 0.0489 +2023-03-04 04:07:59,896 - mmseg - INFO - Iter [49200/160000] lr: 3.750e-05, eta: 6:36:17, time: 0.172, data_time: 0.009, memory: 52541, decode.loss_ce: 0.0439, decode.acc_seg: 98.0945, loss: 0.0439 +2023-03-04 04:08:10,401 - mmseg - INFO - Iter [49250/160000] lr: 3.750e-05, eta: 6:36:06, time: 0.210, data_time: 0.053, memory: 52541, decode.loss_ce: 0.0447, decode.acc_seg: 98.0631, loss: 0.0447 +2023-03-04 04:08:18,740 - mmseg - INFO - Iter [49300/160000] lr: 3.750e-05, eta: 6:35:50, time: 0.167, data_time: 0.007, memory: 52541, decode.loss_ce: 0.0432, decode.acc_seg: 98.1493, loss: 0.0432 +2023-03-04 04:08:27,381 - mmseg - INFO - Iter [49350/160000] lr: 3.750e-05, eta: 6:35:34, time: 0.173, data_time: 0.007, memory: 52541, decode.loss_ce: 0.0449, decode.acc_seg: 98.0179, loss: 0.0449 +2023-03-04 04:08:35,873 - mmseg - INFO - Iter [49400/160000] lr: 3.750e-05, eta: 6:35:18, time: 0.170, data_time: 0.007, memory: 52541, decode.loss_ce: 0.0471, decode.acc_seg: 97.9633, loss: 0.0471 +2023-03-04 04:08:44,309 - mmseg - INFO - Iter [49450/160000] lr: 3.750e-05, eta: 6:35:03, time: 0.169, data_time: 0.007, memory: 52541, decode.loss_ce: 0.0461, decode.acc_seg: 98.0068, loss: 0.0461 +2023-03-04 04:08:52,793 - mmseg - INFO - Iter [49500/160000] lr: 3.750e-05, eta: 6:34:47, time: 0.170, data_time: 0.007, memory: 52541, decode.loss_ce: 0.0453, decode.acc_seg: 98.0691, loss: 0.0453 +2023-03-04 04:09:01,468 - mmseg - INFO - Iter [49550/160000] lr: 3.750e-05, eta: 6:34:32, time: 0.173, data_time: 0.007, memory: 52541, decode.loss_ce: 0.0465, decode.acc_seg: 98.0191, loss: 0.0465 +2023-03-04 04:09:09,874 - mmseg - INFO - Iter [49600/160000] lr: 3.750e-05, eta: 6:34:16, time: 0.168, data_time: 0.008, memory: 52541, decode.loss_ce: 0.0469, decode.acc_seg: 97.9806, loss: 0.0469 +2023-03-04 04:09:18,054 - mmseg - INFO - Iter [49650/160000] lr: 3.750e-05, eta: 6:33:59, time: 0.164, data_time: 0.008, memory: 52541, decode.loss_ce: 0.0485, decode.acc_seg: 97.9145, loss: 0.0485 +2023-03-04 04:09:26,446 - mmseg - INFO - Iter [49700/160000] lr: 3.750e-05, eta: 6:33:44, time: 0.168, data_time: 0.008, memory: 52541, decode.loss_ce: 0.0454, decode.acc_seg: 98.0261, loss: 0.0454 +2023-03-04 04:09:34,681 - mmseg - INFO - Iter [49750/160000] lr: 3.750e-05, eta: 6:33:27, time: 0.165, data_time: 0.008, memory: 52541, decode.loss_ce: 0.0458, decode.acc_seg: 98.0412, loss: 0.0458 +2023-03-04 04:09:43,290 - mmseg - INFO - Iter [49800/160000] lr: 3.750e-05, eta: 6:33:12, time: 0.172, data_time: 0.007, memory: 52541, decode.loss_ce: 0.0462, decode.acc_seg: 98.0484, loss: 0.0462 +2023-03-04 04:09:53,986 - mmseg - INFO - Iter [49850/160000] lr: 3.750e-05, eta: 6:33:01, time: 0.214, data_time: 0.054, memory: 52541, decode.loss_ce: 0.0435, decode.acc_seg: 98.1356, loss: 0.0435 +2023-03-04 04:10:02,514 - mmseg - INFO - Iter [49900/160000] lr: 3.750e-05, eta: 6:32:46, time: 0.171, data_time: 0.007, memory: 52541, decode.loss_ce: 0.0488, decode.acc_seg: 97.9295, loss: 0.0488 +2023-03-04 04:10:10,728 - mmseg - INFO - Iter [49950/160000] lr: 3.750e-05, eta: 6:32:30, time: 0.164, data_time: 0.008, memory: 52541, decode.loss_ce: 0.0510, decode.acc_seg: 97.7979, loss: 0.0510 +2023-03-04 04:10:18,988 - mmseg - INFO - Exp name: ablation_segformer_mit_b2_segformer_head_unet_fc_small_multi_step_ade_pretrained_freeze_embed_160k_ade20k151_finetune_ema_wgt.py +2023-03-04 04:10:18,988 - mmseg - INFO - Iter [50000/160000] lr: 3.750e-05, eta: 6:32:14, time: 0.165, data_time: 0.008, memory: 52541, decode.loss_ce: 0.0464, decode.acc_seg: 97.9687, loss: 0.0464 +2023-03-04 04:10:27,444 - mmseg - INFO - Iter [50050/160000] lr: 3.750e-05, eta: 6:31:58, time: 0.169, data_time: 0.008, memory: 52541, decode.loss_ce: 0.0448, decode.acc_seg: 98.0894, loss: 0.0448 +2023-03-04 04:10:36,322 - mmseg - INFO - Iter [50100/160000] lr: 3.750e-05, eta: 6:31:43, time: 0.177, data_time: 0.007, memory: 52541, decode.loss_ce: 0.0463, decode.acc_seg: 98.0079, loss: 0.0463 +2023-03-04 04:10:44,687 - mmseg - INFO - Iter [50150/160000] lr: 3.750e-05, eta: 6:31:28, time: 0.168, data_time: 0.008, memory: 52541, decode.loss_ce: 0.0422, decode.acc_seg: 98.1492, loss: 0.0422 +2023-03-04 04:10:52,723 - mmseg - INFO - Iter [50200/160000] lr: 3.750e-05, eta: 6:31:11, time: 0.161, data_time: 0.008, memory: 52541, decode.loss_ce: 0.0470, decode.acc_seg: 98.0237, loss: 0.0470 +2023-03-04 04:11:00,838 - mmseg - INFO - Iter [50250/160000] lr: 3.750e-05, eta: 6:30:55, time: 0.162, data_time: 0.007, memory: 52541, decode.loss_ce: 0.0439, decode.acc_seg: 98.1205, loss: 0.0439 +2023-03-04 04:11:09,024 - mmseg - INFO - Iter [50300/160000] lr: 3.750e-05, eta: 6:30:39, time: 0.164, data_time: 0.008, memory: 52541, decode.loss_ce: 0.0441, decode.acc_seg: 98.0980, loss: 0.0441 +2023-03-04 04:11:17,345 - mmseg - INFO - Iter [50350/160000] lr: 3.750e-05, eta: 6:30:23, time: 0.166, data_time: 0.007, memory: 52541, decode.loss_ce: 0.0464, decode.acc_seg: 98.0009, loss: 0.0464 +2023-03-04 04:11:25,717 - mmseg - INFO - Iter [50400/160000] lr: 3.750e-05, eta: 6:30:07, time: 0.167, data_time: 0.008, memory: 52541, decode.loss_ce: 0.0461, decode.acc_seg: 98.0207, loss: 0.0461 +2023-03-04 04:11:34,190 - mmseg - INFO - Iter [50450/160000] lr: 3.750e-05, eta: 6:29:52, time: 0.169, data_time: 0.007, memory: 52541, decode.loss_ce: 0.0449, decode.acc_seg: 98.0592, loss: 0.0449 +2023-03-04 04:11:45,301 - mmseg - INFO - Iter [50500/160000] lr: 3.750e-05, eta: 6:29:42, time: 0.222, data_time: 0.057, memory: 52541, decode.loss_ce: 0.0450, decode.acc_seg: 98.0528, loss: 0.0450 +2023-03-04 04:11:53,923 - mmseg - INFO - Iter [50550/160000] lr: 3.750e-05, eta: 6:29:27, time: 0.172, data_time: 0.007, memory: 52541, decode.loss_ce: 0.0452, decode.acc_seg: 98.0148, loss: 0.0452 +2023-03-04 04:12:02,312 - mmseg - INFO - Iter [50600/160000] lr: 3.750e-05, eta: 6:29:11, time: 0.168, data_time: 0.008, memory: 52541, decode.loss_ce: 0.0452, decode.acc_seg: 98.0494, loss: 0.0452 +2023-03-04 04:12:10,997 - mmseg - INFO - Iter [50650/160000] lr: 3.750e-05, eta: 6:28:56, time: 0.174, data_time: 0.007, memory: 52541, decode.loss_ce: 0.0475, decode.acc_seg: 97.9445, loss: 0.0475 +2023-03-04 04:12:19,316 - mmseg - INFO - Iter [50700/160000] lr: 3.750e-05, eta: 6:28:40, time: 0.166, data_time: 0.008, memory: 52541, decode.loss_ce: 0.0484, decode.acc_seg: 97.9074, loss: 0.0484 +2023-03-04 04:12:27,323 - mmseg - INFO - Iter [50750/160000] lr: 3.750e-05, eta: 6:28:24, time: 0.160, data_time: 0.008, memory: 52541, decode.loss_ce: 0.0457, decode.acc_seg: 98.0304, loss: 0.0457 +2023-03-04 04:12:35,548 - mmseg - INFO - Iter [50800/160000] lr: 3.750e-05, eta: 6:28:08, time: 0.164, data_time: 0.008, memory: 52541, decode.loss_ce: 0.0465, decode.acc_seg: 98.0089, loss: 0.0465 +2023-03-04 04:12:43,862 - mmseg - INFO - Iter [50850/160000] lr: 3.750e-05, eta: 6:27:52, time: 0.166, data_time: 0.007, memory: 52541, decode.loss_ce: 0.0451, decode.acc_seg: 98.0537, loss: 0.0451 +2023-03-04 04:12:52,230 - mmseg - INFO - Iter [50900/160000] lr: 3.750e-05, eta: 6:27:37, time: 0.168, data_time: 0.008, memory: 52541, decode.loss_ce: 0.0474, decode.acc_seg: 97.9826, loss: 0.0474 +2023-03-04 04:13:00,470 - mmseg - INFO - Iter [50950/160000] lr: 3.750e-05, eta: 6:27:21, time: 0.165, data_time: 0.008, memory: 52541, decode.loss_ce: 0.0438, decode.acc_seg: 98.0909, loss: 0.0438 +2023-03-04 04:13:08,687 - mmseg - INFO - Exp name: ablation_segformer_mit_b2_segformer_head_unet_fc_small_multi_step_ade_pretrained_freeze_embed_160k_ade20k151_finetune_ema_wgt.py +2023-03-04 04:13:08,687 - mmseg - INFO - Iter [51000/160000] lr: 3.750e-05, eta: 6:27:05, time: 0.164, data_time: 0.008, memory: 52541, decode.loss_ce: 0.0494, decode.acc_seg: 97.9406, loss: 0.0494 +2023-03-04 04:13:17,185 - mmseg - INFO - Iter [51050/160000] lr: 3.750e-05, eta: 6:26:50, time: 0.170, data_time: 0.008, memory: 52541, decode.loss_ce: 0.0483, decode.acc_seg: 97.9514, loss: 0.0483 +2023-03-04 04:13:25,530 - mmseg - INFO - Iter [51100/160000] lr: 3.750e-05, eta: 6:26:34, time: 0.167, data_time: 0.007, memory: 52541, decode.loss_ce: 0.0464, decode.acc_seg: 98.0143, loss: 0.0464 +2023-03-04 04:13:36,334 - mmseg - INFO - Iter [51150/160000] lr: 3.750e-05, eta: 6:26:24, time: 0.216, data_time: 0.053, memory: 52541, decode.loss_ce: 0.0456, decode.acc_seg: 98.0385, loss: 0.0456 +2023-03-04 04:13:44,843 - mmseg - INFO - Iter [51200/160000] lr: 3.750e-05, eta: 6:26:09, time: 0.170, data_time: 0.007, memory: 52541, decode.loss_ce: 0.0495, decode.acc_seg: 97.8644, loss: 0.0495 +2023-03-04 04:13:53,606 - mmseg - INFO - Iter [51250/160000] lr: 3.750e-05, eta: 6:25:54, time: 0.175, data_time: 0.007, memory: 52541, decode.loss_ce: 0.0487, decode.acc_seg: 97.9329, loss: 0.0487 +2023-03-04 04:14:01,882 - mmseg - INFO - Iter [51300/160000] lr: 3.750e-05, eta: 6:25:38, time: 0.166, data_time: 0.008, memory: 52541, decode.loss_ce: 0.0457, decode.acc_seg: 98.0242, loss: 0.0457 +2023-03-04 04:14:10,246 - mmseg - INFO - Iter [51350/160000] lr: 3.750e-05, eta: 6:25:23, time: 0.167, data_time: 0.008, memory: 52541, decode.loss_ce: 0.0420, decode.acc_seg: 98.1701, loss: 0.0420 +2023-03-04 04:14:18,505 - mmseg - INFO - Iter [51400/160000] lr: 3.750e-05, eta: 6:25:07, time: 0.165, data_time: 0.008, memory: 52541, decode.loss_ce: 0.0437, decode.acc_seg: 98.1262, loss: 0.0437 +2023-03-04 04:14:26,916 - mmseg - INFO - Iter [51450/160000] lr: 3.750e-05, eta: 6:24:52, time: 0.168, data_time: 0.008, memory: 52541, decode.loss_ce: 0.0460, decode.acc_seg: 98.0361, loss: 0.0460 +2023-03-04 04:14:35,309 - mmseg - INFO - Iter [51500/160000] lr: 3.750e-05, eta: 6:24:37, time: 0.168, data_time: 0.007, memory: 52541, decode.loss_ce: 0.0480, decode.acc_seg: 97.9671, loss: 0.0480 +2023-03-04 04:14:43,983 - mmseg - INFO - Iter [51550/160000] lr: 3.750e-05, eta: 6:24:22, time: 0.173, data_time: 0.007, memory: 52541, decode.loss_ce: 0.0465, decode.acc_seg: 98.0207, loss: 0.0465 +2023-03-04 04:14:52,683 - mmseg - INFO - Iter [51600/160000] lr: 3.750e-05, eta: 6:24:07, time: 0.174, data_time: 0.008, memory: 52541, decode.loss_ce: 0.0435, decode.acc_seg: 98.1334, loss: 0.0435 +2023-03-04 04:15:01,259 - mmseg - INFO - Iter [51650/160000] lr: 3.750e-05, eta: 6:23:52, time: 0.172, data_time: 0.009, memory: 52541, decode.loss_ce: 0.0463, decode.acc_seg: 98.0290, loss: 0.0463 +2023-03-04 04:15:09,388 - mmseg - INFO - Iter [51700/160000] lr: 3.750e-05, eta: 6:23:36, time: 0.163, data_time: 0.008, memory: 52541, decode.loss_ce: 0.0454, decode.acc_seg: 98.0287, loss: 0.0454 +2023-03-04 04:15:19,962 - mmseg - INFO - Iter [51750/160000] lr: 3.750e-05, eta: 6:23:26, time: 0.211, data_time: 0.055, memory: 52541, decode.loss_ce: 0.0494, decode.acc_seg: 97.8728, loss: 0.0494 +2023-03-04 04:15:28,034 - mmseg - INFO - Iter [51800/160000] lr: 3.750e-05, eta: 6:23:10, time: 0.161, data_time: 0.008, memory: 52541, decode.loss_ce: 0.0452, decode.acc_seg: 98.0359, loss: 0.0452 +2023-03-04 04:15:36,204 - mmseg - INFO - Iter [51850/160000] lr: 3.750e-05, eta: 6:22:54, time: 0.163, data_time: 0.008, memory: 52541, decode.loss_ce: 0.0480, decode.acc_seg: 97.9612, loss: 0.0480 +2023-03-04 04:15:44,924 - mmseg - INFO - Iter [51900/160000] lr: 3.750e-05, eta: 6:22:39, time: 0.175, data_time: 0.007, memory: 52541, decode.loss_ce: 0.0443, decode.acc_seg: 98.0814, loss: 0.0443 +2023-03-04 04:15:53,229 - mmseg - INFO - Iter [51950/160000] lr: 3.750e-05, eta: 6:22:24, time: 0.166, data_time: 0.007, memory: 52541, decode.loss_ce: 0.0486, decode.acc_seg: 97.9154, loss: 0.0486 +2023-03-04 04:16:01,408 - mmseg - INFO - Exp name: ablation_segformer_mit_b2_segformer_head_unet_fc_small_multi_step_ade_pretrained_freeze_embed_160k_ade20k151_finetune_ema_wgt.py +2023-03-04 04:16:01,408 - mmseg - INFO - Iter [52000/160000] lr: 3.750e-05, eta: 6:22:08, time: 0.164, data_time: 0.007, memory: 52541, decode.loss_ce: 0.0461, decode.acc_seg: 98.0473, loss: 0.0461 +2023-03-04 04:16:10,214 - mmseg - INFO - Iter [52050/160000] lr: 3.750e-05, eta: 6:21:54, time: 0.176, data_time: 0.007, memory: 52541, decode.loss_ce: 0.0445, decode.acc_seg: 98.0918, loss: 0.0445 +2023-03-04 04:16:18,644 - mmseg - INFO - Iter [52100/160000] lr: 3.750e-05, eta: 6:21:39, time: 0.169, data_time: 0.008, memory: 52541, decode.loss_ce: 0.0451, decode.acc_seg: 98.0538, loss: 0.0451 +2023-03-04 04:16:27,093 - mmseg - INFO - Iter [52150/160000] lr: 3.750e-05, eta: 6:21:24, time: 0.169, data_time: 0.008, memory: 52541, decode.loss_ce: 0.0446, decode.acc_seg: 98.0570, loss: 0.0446 +2023-03-04 04:16:35,364 - mmseg - INFO - Iter [52200/160000] lr: 3.750e-05, eta: 6:21:08, time: 0.165, data_time: 0.008, memory: 52541, decode.loss_ce: 0.0479, decode.acc_seg: 97.9480, loss: 0.0479 +2023-03-04 04:16:43,881 - mmseg - INFO - Iter [52250/160000] lr: 3.750e-05, eta: 6:20:53, time: 0.170, data_time: 0.008, memory: 52541, decode.loss_ce: 0.0442, decode.acc_seg: 98.0581, loss: 0.0442 +2023-03-04 04:16:52,761 - mmseg - INFO - Iter [52300/160000] lr: 3.750e-05, eta: 6:20:39, time: 0.177, data_time: 0.007, memory: 52541, decode.loss_ce: 0.0460, decode.acc_seg: 98.0088, loss: 0.0460 +2023-03-04 04:17:01,244 - mmseg - INFO - Iter [52350/160000] lr: 3.750e-05, eta: 6:20:24, time: 0.170, data_time: 0.008, memory: 52541, decode.loss_ce: 0.0476, decode.acc_seg: 97.9690, loss: 0.0476 +2023-03-04 04:17:12,130 - mmseg - INFO - Iter [52400/160000] lr: 3.750e-05, eta: 6:20:14, time: 0.218, data_time: 0.053, memory: 52541, decode.loss_ce: 0.0458, decode.acc_seg: 98.0555, loss: 0.0458 +2023-03-04 04:17:20,309 - mmseg - INFO - Iter [52450/160000] lr: 3.750e-05, eta: 6:19:59, time: 0.164, data_time: 0.007, memory: 52541, decode.loss_ce: 0.0461, decode.acc_seg: 98.0243, loss: 0.0461 +2023-03-04 04:17:28,527 - mmseg - INFO - Iter [52500/160000] lr: 3.750e-05, eta: 6:19:43, time: 0.164, data_time: 0.007, memory: 52541, decode.loss_ce: 0.0462, decode.acc_seg: 98.0077, loss: 0.0462 +2023-03-04 04:17:37,000 - mmseg - INFO - Iter [52550/160000] lr: 3.750e-05, eta: 6:19:28, time: 0.169, data_time: 0.007, memory: 52541, decode.loss_ce: 0.0447, decode.acc_seg: 98.0872, loss: 0.0447 +2023-03-04 04:17:45,201 - mmseg - INFO - Iter [52600/160000] lr: 3.750e-05, eta: 6:19:13, time: 0.164, data_time: 0.008, memory: 52541, decode.loss_ce: 0.0460, decode.acc_seg: 98.0086, loss: 0.0460 +2023-03-04 04:17:53,229 - mmseg - INFO - Iter [52650/160000] lr: 3.750e-05, eta: 6:18:57, time: 0.161, data_time: 0.008, memory: 52541, decode.loss_ce: 0.0479, decode.acc_seg: 97.9903, loss: 0.0479 +2023-03-04 04:18:01,272 - mmseg - INFO - Iter [52700/160000] lr: 3.750e-05, eta: 6:18:41, time: 0.161, data_time: 0.008, memory: 52541, decode.loss_ce: 0.0426, decode.acc_seg: 98.1482, loss: 0.0426 +2023-03-04 04:18:09,585 - mmseg - INFO - Iter [52750/160000] lr: 3.750e-05, eta: 6:18:26, time: 0.166, data_time: 0.007, memory: 52541, decode.loss_ce: 0.0441, decode.acc_seg: 98.0730, loss: 0.0441 +2023-03-04 04:18:18,590 - mmseg - INFO - Iter [52800/160000] lr: 3.750e-05, eta: 6:18:12, time: 0.180, data_time: 0.007, memory: 52541, decode.loss_ce: 0.0471, decode.acc_seg: 98.0106, loss: 0.0471 +2023-03-04 04:18:26,552 - mmseg - INFO - Iter [52850/160000] lr: 3.750e-05, eta: 6:17:56, time: 0.160, data_time: 0.008, memory: 52541, decode.loss_ce: 0.0428, decode.acc_seg: 98.1592, loss: 0.0428 +2023-03-04 04:18:35,342 - mmseg - INFO - Iter [52900/160000] lr: 3.750e-05, eta: 6:17:42, time: 0.176, data_time: 0.007, memory: 52541, decode.loss_ce: 0.0455, decode.acc_seg: 98.0684, loss: 0.0455 +2023-03-04 04:18:43,673 - mmseg - INFO - Iter [52950/160000] lr: 3.750e-05, eta: 6:17:27, time: 0.167, data_time: 0.008, memory: 52541, decode.loss_ce: 0.0457, decode.acc_seg: 97.9975, loss: 0.0457 +2023-03-04 04:18:51,923 - mmseg - INFO - Exp name: ablation_segformer_mit_b2_segformer_head_unet_fc_small_multi_step_ade_pretrained_freeze_embed_160k_ade20k151_finetune_ema_wgt.py +2023-03-04 04:18:51,923 - mmseg - INFO - Iter [53000/160000] lr: 3.750e-05, eta: 6:17:11, time: 0.165, data_time: 0.008, memory: 52541, decode.loss_ce: 0.0453, decode.acc_seg: 98.0651, loss: 0.0453 +2023-03-04 04:19:02,960 - mmseg - INFO - Iter [53050/160000] lr: 3.750e-05, eta: 6:17:02, time: 0.220, data_time: 0.051, memory: 52541, decode.loss_ce: 0.0431, decode.acc_seg: 98.1095, loss: 0.0431 +2023-03-04 04:19:11,496 - mmseg - INFO - Iter [53100/160000] lr: 3.750e-05, eta: 6:16:47, time: 0.171, data_time: 0.007, memory: 52541, decode.loss_ce: 0.0467, decode.acc_seg: 98.0077, loss: 0.0467 +2023-03-04 04:19:19,613 - mmseg - INFO - Iter [53150/160000] lr: 3.750e-05, eta: 6:16:32, time: 0.162, data_time: 0.008, memory: 52541, decode.loss_ce: 0.0465, decode.acc_seg: 98.0072, loss: 0.0465 +2023-03-04 04:19:28,025 - mmseg - INFO - Iter [53200/160000] lr: 3.750e-05, eta: 6:16:17, time: 0.168, data_time: 0.007, memory: 52541, decode.loss_ce: 0.0484, decode.acc_seg: 97.9526, loss: 0.0484 +2023-03-04 04:19:36,501 - mmseg - INFO - Iter [53250/160000] lr: 3.750e-05, eta: 6:16:02, time: 0.170, data_time: 0.008, memory: 52541, decode.loss_ce: 0.0473, decode.acc_seg: 97.9646, loss: 0.0473 +2023-03-04 04:19:45,387 - mmseg - INFO - Iter [53300/160000] lr: 3.750e-05, eta: 6:15:48, time: 0.178, data_time: 0.007, memory: 52541, decode.loss_ce: 0.0442, decode.acc_seg: 98.0939, loss: 0.0442 +2023-03-04 04:19:53,759 - mmseg - INFO - Iter [53350/160000] lr: 3.750e-05, eta: 6:15:33, time: 0.167, data_time: 0.008, memory: 52541, decode.loss_ce: 0.0460, decode.acc_seg: 97.9898, loss: 0.0460 +2023-03-04 04:20:02,077 - mmseg - INFO - Iter [53400/160000] lr: 3.750e-05, eta: 6:15:18, time: 0.166, data_time: 0.007, memory: 52541, decode.loss_ce: 0.0473, decode.acc_seg: 97.9817, loss: 0.0473 +2023-03-04 04:20:10,103 - mmseg - INFO - Iter [53450/160000] lr: 3.750e-05, eta: 6:15:02, time: 0.161, data_time: 0.007, memory: 52541, decode.loss_ce: 0.0448, decode.acc_seg: 98.0619, loss: 0.0448 +2023-03-04 04:20:18,708 - mmseg - INFO - Iter [53500/160000] lr: 3.750e-05, eta: 6:14:48, time: 0.172, data_time: 0.007, memory: 52541, decode.loss_ce: 0.0454, decode.acc_seg: 98.0409, loss: 0.0454 +2023-03-04 04:20:27,033 - mmseg - INFO - Iter [53550/160000] lr: 3.750e-05, eta: 6:14:33, time: 0.166, data_time: 0.007, memory: 52541, decode.loss_ce: 0.0438, decode.acc_seg: 98.0702, loss: 0.0438 +2023-03-04 04:20:35,348 - mmseg - INFO - Iter [53600/160000] lr: 3.750e-05, eta: 6:14:18, time: 0.166, data_time: 0.007, memory: 52541, decode.loss_ce: 0.0429, decode.acc_seg: 98.1529, loss: 0.0429 +2023-03-04 04:20:46,062 - mmseg - INFO - Iter [53650/160000] lr: 3.750e-05, eta: 6:14:08, time: 0.214, data_time: 0.054, memory: 52541, decode.loss_ce: 0.0484, decode.acc_seg: 97.9350, loss: 0.0484 +2023-03-04 04:20:54,216 - mmseg - INFO - Iter [53700/160000] lr: 3.750e-05, eta: 6:13:52, time: 0.163, data_time: 0.007, memory: 52541, decode.loss_ce: 0.0446, decode.acc_seg: 98.0668, loss: 0.0446 +2023-03-04 04:21:02,701 - mmseg - INFO - Iter [53750/160000] lr: 3.750e-05, eta: 6:13:38, time: 0.169, data_time: 0.007, memory: 52541, decode.loss_ce: 0.0451, decode.acc_seg: 98.0390, loss: 0.0451 +2023-03-04 04:21:11,281 - mmseg - INFO - Iter [53800/160000] lr: 3.750e-05, eta: 6:13:23, time: 0.172, data_time: 0.007, memory: 52541, decode.loss_ce: 0.0461, decode.acc_seg: 98.0110, loss: 0.0461 +2023-03-04 04:21:19,994 - mmseg - INFO - Iter [53850/160000] lr: 3.750e-05, eta: 6:13:09, time: 0.174, data_time: 0.008, memory: 52541, decode.loss_ce: 0.0475, decode.acc_seg: 97.9686, loss: 0.0475 +2023-03-04 04:21:28,200 - mmseg - INFO - Iter [53900/160000] lr: 3.750e-05, eta: 6:12:54, time: 0.164, data_time: 0.008, memory: 52541, decode.loss_ce: 0.0471, decode.acc_seg: 97.9833, loss: 0.0471 +2023-03-04 04:21:36,495 - mmseg - INFO - Iter [53950/160000] lr: 3.750e-05, eta: 6:12:39, time: 0.166, data_time: 0.008, memory: 52541, decode.loss_ce: 0.0453, decode.acc_seg: 98.0602, loss: 0.0453 +2023-03-04 04:21:44,781 - mmseg - INFO - Exp name: ablation_segformer_mit_b2_segformer_head_unet_fc_small_multi_step_ade_pretrained_freeze_embed_160k_ade20k151_finetune_ema_wgt.py +2023-03-04 04:21:44,781 - mmseg - INFO - Iter [54000/160000] lr: 3.750e-05, eta: 6:12:24, time: 0.165, data_time: 0.007, memory: 52541, decode.loss_ce: 0.0489, decode.acc_seg: 97.9518, loss: 0.0489 +2023-03-04 04:21:53,026 - mmseg - INFO - Iter [54050/160000] lr: 3.750e-05, eta: 6:12:09, time: 0.165, data_time: 0.008, memory: 52541, decode.loss_ce: 0.0473, decode.acc_seg: 97.9872, loss: 0.0473 +2023-03-04 04:22:01,209 - mmseg - INFO - Iter [54100/160000] lr: 3.750e-05, eta: 6:11:54, time: 0.164, data_time: 0.008, memory: 52541, decode.loss_ce: 0.0486, decode.acc_seg: 97.8791, loss: 0.0486 +2023-03-04 04:22:09,854 - mmseg - INFO - Iter [54150/160000] lr: 3.750e-05, eta: 6:11:40, time: 0.173, data_time: 0.008, memory: 52541, decode.loss_ce: 0.0470, decode.acc_seg: 98.0026, loss: 0.0470 +2023-03-04 04:22:18,196 - mmseg - INFO - Iter [54200/160000] lr: 3.750e-05, eta: 6:11:25, time: 0.167, data_time: 0.008, memory: 52541, decode.loss_ce: 0.0474, decode.acc_seg: 97.9782, loss: 0.0474 +2023-03-04 04:22:26,333 - mmseg - INFO - Iter [54250/160000] lr: 3.750e-05, eta: 6:11:10, time: 0.163, data_time: 0.008, memory: 52541, decode.loss_ce: 0.0462, decode.acc_seg: 98.0310, loss: 0.0462 +2023-03-04 04:22:37,015 - mmseg - INFO - Iter [54300/160000] lr: 3.750e-05, eta: 6:10:59, time: 0.214, data_time: 0.058, memory: 52541, decode.loss_ce: 0.0433, decode.acc_seg: 98.1332, loss: 0.0433 +2023-03-04 04:22:45,173 - mmseg - INFO - Iter [54350/160000] lr: 3.750e-05, eta: 6:10:44, time: 0.163, data_time: 0.008, memory: 52541, decode.loss_ce: 0.0445, decode.acc_seg: 98.0739, loss: 0.0445 +2023-03-04 04:22:53,634 - mmseg - INFO - Iter [54400/160000] lr: 3.750e-05, eta: 6:10:30, time: 0.169, data_time: 0.007, memory: 52541, decode.loss_ce: 0.0443, decode.acc_seg: 98.1031, loss: 0.0443 +2023-03-04 04:23:01,674 - mmseg - INFO - Iter [54450/160000] lr: 3.750e-05, eta: 6:10:14, time: 0.161, data_time: 0.008, memory: 52541, decode.loss_ce: 0.0463, decode.acc_seg: 98.0007, loss: 0.0463 +2023-03-04 04:23:09,887 - mmseg - INFO - Iter [54500/160000] lr: 3.750e-05, eta: 6:09:59, time: 0.164, data_time: 0.007, memory: 52541, decode.loss_ce: 0.0480, decode.acc_seg: 97.9531, loss: 0.0480 +2023-03-04 04:23:18,017 - mmseg - INFO - Iter [54550/160000] lr: 3.750e-05, eta: 6:09:44, time: 0.163, data_time: 0.008, memory: 52541, decode.loss_ce: 0.0476, decode.acc_seg: 97.9590, loss: 0.0476 +2023-03-04 04:23:26,380 - mmseg - INFO - Iter [54600/160000] lr: 3.750e-05, eta: 6:09:30, time: 0.167, data_time: 0.008, memory: 52541, decode.loss_ce: 0.0457, decode.acc_seg: 98.0742, loss: 0.0457 +2023-03-04 04:23:34,667 - mmseg - INFO - Iter [54650/160000] lr: 3.750e-05, eta: 6:09:15, time: 0.166, data_time: 0.008, memory: 52541, decode.loss_ce: 0.0466, decode.acc_seg: 98.0436, loss: 0.0466 +2023-03-04 04:23:42,842 - mmseg - INFO - Iter [54700/160000] lr: 3.750e-05, eta: 6:09:00, time: 0.163, data_time: 0.008, memory: 52541, decode.loss_ce: 0.0451, decode.acc_seg: 98.0435, loss: 0.0451 +2023-03-04 04:23:51,362 - mmseg - INFO - Iter [54750/160000] lr: 3.750e-05, eta: 6:08:45, time: 0.170, data_time: 0.008, memory: 52541, decode.loss_ce: 0.0436, decode.acc_seg: 98.0965, loss: 0.0436 +2023-03-04 04:23:59,666 - mmseg - INFO - Iter [54800/160000] lr: 3.750e-05, eta: 6:08:31, time: 0.166, data_time: 0.008, memory: 52541, decode.loss_ce: 0.0492, decode.acc_seg: 97.8994, loss: 0.0492 +2023-03-04 04:24:07,737 - mmseg - INFO - Iter [54850/160000] lr: 3.750e-05, eta: 6:08:15, time: 0.161, data_time: 0.008, memory: 52541, decode.loss_ce: 0.0463, decode.acc_seg: 97.9796, loss: 0.0463 +2023-03-04 04:24:18,496 - mmseg - INFO - Iter [54900/160000] lr: 3.750e-05, eta: 6:08:05, time: 0.215, data_time: 0.055, memory: 52541, decode.loss_ce: 0.0465, decode.acc_seg: 98.0181, loss: 0.0465 +2023-03-04 04:24:26,844 - mmseg - INFO - Iter [54950/160000] lr: 3.750e-05, eta: 6:07:51, time: 0.167, data_time: 0.007, memory: 52541, decode.loss_ce: 0.0429, decode.acc_seg: 98.1309, loss: 0.0429 +2023-03-04 04:24:34,864 - mmseg - INFO - Exp name: ablation_segformer_mit_b2_segformer_head_unet_fc_small_multi_step_ade_pretrained_freeze_embed_160k_ade20k151_finetune_ema_wgt.py +2023-03-04 04:24:34,864 - mmseg - INFO - Iter [55000/160000] lr: 3.750e-05, eta: 6:07:36, time: 0.160, data_time: 0.007, memory: 52541, decode.loss_ce: 0.0457, decode.acc_seg: 98.0119, loss: 0.0457 +2023-03-04 04:24:43,389 - mmseg - INFO - Iter [55050/160000] lr: 3.750e-05, eta: 6:07:21, time: 0.170, data_time: 0.008, memory: 52541, decode.loss_ce: 0.0455, decode.acc_seg: 98.0383, loss: 0.0455 +2023-03-04 04:24:51,852 - mmseg - INFO - Iter [55100/160000] lr: 3.750e-05, eta: 6:07:07, time: 0.169, data_time: 0.007, memory: 52541, decode.loss_ce: 0.0446, decode.acc_seg: 98.0713, loss: 0.0446 +2023-03-04 04:25:00,183 - mmseg - INFO - Iter [55150/160000] lr: 3.750e-05, eta: 6:06:52, time: 0.167, data_time: 0.008, memory: 52541, decode.loss_ce: 0.0455, decode.acc_seg: 98.0092, loss: 0.0455 +2023-03-04 04:25:08,610 - mmseg - INFO - Iter [55200/160000] lr: 3.750e-05, eta: 6:06:38, time: 0.169, data_time: 0.008, memory: 52541, decode.loss_ce: 0.0485, decode.acc_seg: 97.9410, loss: 0.0485 +2023-03-04 04:25:17,257 - mmseg - INFO - Iter [55250/160000] lr: 3.750e-05, eta: 6:06:24, time: 0.173, data_time: 0.008, memory: 52541, decode.loss_ce: 0.0490, decode.acc_seg: 97.9181, loss: 0.0490 +2023-03-04 04:25:25,954 - mmseg - INFO - Iter [55300/160000] lr: 3.750e-05, eta: 6:06:10, time: 0.174, data_time: 0.007, memory: 52541, decode.loss_ce: 0.0454, decode.acc_seg: 98.0241, loss: 0.0454 +2023-03-04 04:25:34,009 - mmseg - INFO - Iter [55350/160000] lr: 3.750e-05, eta: 6:05:55, time: 0.161, data_time: 0.008, memory: 52541, decode.loss_ce: 0.0454, decode.acc_seg: 98.0600, loss: 0.0454 +2023-03-04 04:25:42,474 - mmseg - INFO - Iter [55400/160000] lr: 3.750e-05, eta: 6:05:41, time: 0.169, data_time: 0.007, memory: 52541, decode.loss_ce: 0.0472, decode.acc_seg: 98.0067, loss: 0.0472 +2023-03-04 04:25:50,568 - mmseg - INFO - Iter [55450/160000] lr: 3.750e-05, eta: 6:05:26, time: 0.162, data_time: 0.008, memory: 52541, decode.loss_ce: 0.0478, decode.acc_seg: 97.9528, loss: 0.0478 +2023-03-04 04:25:58,998 - mmseg - INFO - Iter [55500/160000] lr: 3.750e-05, eta: 6:05:11, time: 0.168, data_time: 0.008, memory: 52541, decode.loss_ce: 0.0487, decode.acc_seg: 97.9358, loss: 0.0487 +2023-03-04 04:26:10,402 - mmseg - INFO - Iter [55550/160000] lr: 3.750e-05, eta: 6:05:02, time: 0.228, data_time: 0.054, memory: 52541, decode.loss_ce: 0.0454, decode.acc_seg: 98.0433, loss: 0.0454 +2023-03-04 04:26:18,619 - mmseg - INFO - Iter [55600/160000] lr: 3.750e-05, eta: 6:04:48, time: 0.164, data_time: 0.008, memory: 52541, decode.loss_ce: 0.0455, decode.acc_seg: 98.0535, loss: 0.0455 +2023-03-04 04:26:26,984 - mmseg - INFO - Iter [55650/160000] lr: 3.750e-05, eta: 6:04:33, time: 0.168, data_time: 0.008, memory: 52541, decode.loss_ce: 0.0426, decode.acc_seg: 98.1725, loss: 0.0426 +2023-03-04 04:26:35,449 - mmseg - INFO - Iter [55700/160000] lr: 3.750e-05, eta: 6:04:19, time: 0.169, data_time: 0.008, memory: 52541, decode.loss_ce: 0.0449, decode.acc_seg: 98.0510, loss: 0.0449 +2023-03-04 04:26:43,696 - mmseg - INFO - Iter [55750/160000] lr: 3.750e-05, eta: 6:04:04, time: 0.165, data_time: 0.008, memory: 52541, decode.loss_ce: 0.0487, decode.acc_seg: 97.9091, loss: 0.0487 +2023-03-04 04:26:52,314 - mmseg - INFO - Iter [55800/160000] lr: 3.750e-05, eta: 6:03:50, time: 0.172, data_time: 0.007, memory: 52541, decode.loss_ce: 0.0442, decode.acc_seg: 98.1022, loss: 0.0442 +2023-03-04 04:27:00,600 - mmseg - INFO - Iter [55850/160000] lr: 3.750e-05, eta: 6:03:36, time: 0.166, data_time: 0.007, memory: 52541, decode.loss_ce: 0.0449, decode.acc_seg: 98.0615, loss: 0.0449 +2023-03-04 04:27:08,887 - mmseg - INFO - Iter [55900/160000] lr: 3.750e-05, eta: 6:03:21, time: 0.166, data_time: 0.007, memory: 52541, decode.loss_ce: 0.0431, decode.acc_seg: 98.1369, loss: 0.0431 +2023-03-04 04:27:17,755 - mmseg - INFO - Iter [55950/160000] lr: 3.750e-05, eta: 6:03:08, time: 0.177, data_time: 0.006, memory: 52541, decode.loss_ce: 0.0476, decode.acc_seg: 97.9645, loss: 0.0476 +2023-03-04 04:27:25,917 - mmseg - INFO - Exp name: ablation_segformer_mit_b2_segformer_head_unet_fc_small_multi_step_ade_pretrained_freeze_embed_160k_ade20k151_finetune_ema_wgt.py +2023-03-04 04:27:25,917 - mmseg - INFO - Iter [56000/160000] lr: 3.750e-05, eta: 6:02:53, time: 0.164, data_time: 0.008, memory: 52541, decode.loss_ce: 0.0481, decode.acc_seg: 97.9396, loss: 0.0481 +2023-03-04 04:27:34,525 - mmseg - INFO - Iter [56050/160000] lr: 3.750e-05, eta: 6:02:39, time: 0.172, data_time: 0.007, memory: 52541, decode.loss_ce: 0.0460, decode.acc_seg: 98.0327, loss: 0.0460 +2023-03-04 04:27:42,715 - mmseg - INFO - Iter [56100/160000] lr: 3.750e-05, eta: 6:02:24, time: 0.164, data_time: 0.008, memory: 52541, decode.loss_ce: 0.0449, decode.acc_seg: 98.0422, loss: 0.0449 +2023-03-04 04:27:51,368 - mmseg - INFO - Iter [56150/160000] lr: 3.750e-05, eta: 6:02:11, time: 0.173, data_time: 0.007, memory: 52541, decode.loss_ce: 0.0450, decode.acc_seg: 98.0822, loss: 0.0450 +2023-03-04 04:28:01,997 - mmseg - INFO - Iter [56200/160000] lr: 3.750e-05, eta: 6:02:00, time: 0.213, data_time: 0.056, memory: 52541, decode.loss_ce: 0.0465, decode.acc_seg: 97.9897, loss: 0.0465 +2023-03-04 04:28:10,916 - mmseg - INFO - Iter [56250/160000] lr: 3.750e-05, eta: 6:01:47, time: 0.178, data_time: 0.009, memory: 52541, decode.loss_ce: 0.0467, decode.acc_seg: 97.9630, loss: 0.0467 +2023-03-04 04:28:19,411 - mmseg - INFO - Iter [56300/160000] lr: 3.750e-05, eta: 6:01:33, time: 0.170, data_time: 0.008, memory: 52541, decode.loss_ce: 0.0441, decode.acc_seg: 98.0953, loss: 0.0441 +2023-03-04 04:28:27,824 - mmseg - INFO - Iter [56350/160000] lr: 3.750e-05, eta: 6:01:19, time: 0.169, data_time: 0.008, memory: 52541, decode.loss_ce: 0.0435, decode.acc_seg: 98.1262, loss: 0.0435 +2023-03-04 04:28:35,946 - mmseg - INFO - Iter [56400/160000] lr: 3.750e-05, eta: 6:01:04, time: 0.162, data_time: 0.008, memory: 52541, decode.loss_ce: 0.0455, decode.acc_seg: 98.0581, loss: 0.0455 +2023-03-04 04:28:44,721 - mmseg - INFO - Iter [56450/160000] lr: 3.750e-05, eta: 6:00:51, time: 0.175, data_time: 0.008, memory: 52541, decode.loss_ce: 0.0468, decode.acc_seg: 98.0114, loss: 0.0468 +2023-03-04 04:28:53,176 - mmseg - INFO - Iter [56500/160000] lr: 3.750e-05, eta: 6:00:36, time: 0.169, data_time: 0.008, memory: 52541, decode.loss_ce: 0.0423, decode.acc_seg: 98.1361, loss: 0.0423 +2023-03-04 04:29:01,389 - mmseg - INFO - Iter [56550/160000] lr: 3.750e-05, eta: 6:00:22, time: 0.164, data_time: 0.008, memory: 52541, decode.loss_ce: 0.0469, decode.acc_seg: 98.0205, loss: 0.0469 +2023-03-04 04:29:10,292 - mmseg - INFO - Iter [56600/160000] lr: 3.750e-05, eta: 6:00:09, time: 0.178, data_time: 0.008, memory: 52541, decode.loss_ce: 0.0449, decode.acc_seg: 98.0570, loss: 0.0449 +2023-03-04 04:29:18,817 - mmseg - INFO - Iter [56650/160000] lr: 3.750e-05, eta: 5:59:55, time: 0.170, data_time: 0.007, memory: 52541, decode.loss_ce: 0.0466, decode.acc_seg: 97.9944, loss: 0.0466 +2023-03-04 04:29:27,561 - mmseg - INFO - Iter [56700/160000] lr: 3.750e-05, eta: 5:59:41, time: 0.175, data_time: 0.008, memory: 52541, decode.loss_ce: 0.0485, decode.acc_seg: 97.9468, loss: 0.0485 +2023-03-04 04:29:35,760 - mmseg - INFO - Iter [56750/160000] lr: 3.750e-05, eta: 5:59:27, time: 0.164, data_time: 0.008, memory: 52541, decode.loss_ce: 0.0468, decode.acc_seg: 97.9802, loss: 0.0468 +2023-03-04 04:29:46,368 - mmseg - INFO - Iter [56800/160000] lr: 3.750e-05, eta: 5:59:16, time: 0.212, data_time: 0.056, memory: 52541, decode.loss_ce: 0.0474, decode.acc_seg: 97.9657, loss: 0.0474 +2023-03-04 04:29:54,506 - mmseg - INFO - Iter [56850/160000] lr: 3.750e-05, eta: 5:59:02, time: 0.163, data_time: 0.007, memory: 52541, decode.loss_ce: 0.0456, decode.acc_seg: 98.0334, loss: 0.0456 +2023-03-04 04:30:03,013 - mmseg - INFO - Iter [56900/160000] lr: 3.750e-05, eta: 5:58:48, time: 0.170, data_time: 0.007, memory: 52541, decode.loss_ce: 0.0457, decode.acc_seg: 98.0410, loss: 0.0457 +2023-03-04 04:30:11,159 - mmseg - INFO - Iter [56950/160000] lr: 3.750e-05, eta: 5:58:33, time: 0.163, data_time: 0.007, memory: 52541, decode.loss_ce: 0.0480, decode.acc_seg: 97.9545, loss: 0.0480 +2023-03-04 04:30:19,523 - mmseg - INFO - Exp name: ablation_segformer_mit_b2_segformer_head_unet_fc_small_multi_step_ade_pretrained_freeze_embed_160k_ade20k151_finetune_ema_wgt.py +2023-03-04 04:30:19,523 - mmseg - INFO - Iter [57000/160000] lr: 3.750e-05, eta: 5:58:19, time: 0.167, data_time: 0.008, memory: 52541, decode.loss_ce: 0.0459, decode.acc_seg: 98.0271, loss: 0.0459 +2023-03-04 04:30:27,907 - mmseg - INFO - Iter [57050/160000] lr: 3.750e-05, eta: 5:58:05, time: 0.168, data_time: 0.007, memory: 52541, decode.loss_ce: 0.0475, decode.acc_seg: 97.9916, loss: 0.0475 +2023-03-04 04:30:36,207 - mmseg - INFO - Iter [57100/160000] lr: 3.750e-05, eta: 5:57:51, time: 0.166, data_time: 0.007, memory: 52541, decode.loss_ce: 0.0439, decode.acc_seg: 98.1039, loss: 0.0439 +2023-03-04 04:30:45,137 - mmseg - INFO - Iter [57150/160000] lr: 3.750e-05, eta: 5:57:37, time: 0.179, data_time: 0.007, memory: 52541, decode.loss_ce: 0.0457, decode.acc_seg: 98.0378, loss: 0.0457 +2023-03-04 04:30:53,336 - mmseg - INFO - Iter [57200/160000] lr: 3.750e-05, eta: 5:57:23, time: 0.164, data_time: 0.008, memory: 52541, decode.loss_ce: 0.0458, decode.acc_seg: 98.0537, loss: 0.0458 +2023-03-04 04:31:02,011 - mmseg - INFO - Iter [57250/160000] lr: 3.750e-05, eta: 5:57:09, time: 0.173, data_time: 0.007, memory: 52541, decode.loss_ce: 0.0482, decode.acc_seg: 97.8900, loss: 0.0482 +2023-03-04 04:31:10,417 - mmseg - INFO - Iter [57300/160000] lr: 3.750e-05, eta: 5:56:55, time: 0.168, data_time: 0.008, memory: 52541, decode.loss_ce: 0.0499, decode.acc_seg: 97.8635, loss: 0.0499 +2023-03-04 04:31:18,855 - mmseg - INFO - Iter [57350/160000] lr: 3.750e-05, eta: 5:56:41, time: 0.169, data_time: 0.008, memory: 52541, decode.loss_ce: 0.0446, decode.acc_seg: 98.1022, loss: 0.0446 +2023-03-04 04:31:27,101 - mmseg - INFO - Iter [57400/160000] lr: 3.750e-05, eta: 5:56:27, time: 0.165, data_time: 0.007, memory: 52541, decode.loss_ce: 0.0442, decode.acc_seg: 98.1465, loss: 0.0442 +2023-03-04 04:31:37,772 - mmseg - INFO - Iter [57450/160000] lr: 3.750e-05, eta: 5:56:17, time: 0.214, data_time: 0.056, memory: 52541, decode.loss_ce: 0.0493, decode.acc_seg: 97.9440, loss: 0.0493 +2023-03-04 04:31:46,067 - mmseg - INFO - Iter [57500/160000] lr: 3.750e-05, eta: 5:56:03, time: 0.166, data_time: 0.007, memory: 52541, decode.loss_ce: 0.0486, decode.acc_seg: 97.9280, loss: 0.0486 +2023-03-04 04:31:54,497 - mmseg - INFO - Iter [57550/160000] lr: 3.750e-05, eta: 5:55:49, time: 0.169, data_time: 0.007, memory: 52541, decode.loss_ce: 0.0447, decode.acc_seg: 98.0751, loss: 0.0447 +2023-03-04 04:32:03,263 - mmseg - INFO - Iter [57600/160000] lr: 3.750e-05, eta: 5:55:36, time: 0.175, data_time: 0.009, memory: 52541, decode.loss_ce: 0.0465, decode.acc_seg: 98.0080, loss: 0.0465 +2023-03-04 04:32:11,659 - mmseg - INFO - Iter [57650/160000] lr: 3.750e-05, eta: 5:55:22, time: 0.168, data_time: 0.007, memory: 52541, decode.loss_ce: 0.0446, decode.acc_seg: 98.0654, loss: 0.0446 +2023-03-04 04:32:20,129 - mmseg - INFO - Iter [57700/160000] lr: 3.750e-05, eta: 5:55:08, time: 0.170, data_time: 0.008, memory: 52541, decode.loss_ce: 0.0457, decode.acc_seg: 98.0455, loss: 0.0457 +2023-03-04 04:32:28,396 - mmseg - INFO - Iter [57750/160000] lr: 3.750e-05, eta: 5:54:53, time: 0.165, data_time: 0.007, memory: 52541, decode.loss_ce: 0.0444, decode.acc_seg: 98.0466, loss: 0.0444 +2023-03-04 04:32:36,906 - mmseg - INFO - Iter [57800/160000] lr: 3.750e-05, eta: 5:54:40, time: 0.170, data_time: 0.008, memory: 52541, decode.loss_ce: 0.0487, decode.acc_seg: 97.9193, loss: 0.0487 +2023-03-04 04:32:45,477 - mmseg - INFO - Iter [57850/160000] lr: 3.750e-05, eta: 5:54:26, time: 0.171, data_time: 0.007, memory: 52541, decode.loss_ce: 0.0449, decode.acc_seg: 98.0607, loss: 0.0449 +2023-03-04 04:32:53,986 - mmseg - INFO - Iter [57900/160000] lr: 3.750e-05, eta: 5:54:12, time: 0.170, data_time: 0.007, memory: 52541, decode.loss_ce: 0.0478, decode.acc_seg: 97.9378, loss: 0.0478 +2023-03-04 04:33:02,632 - mmseg - INFO - Iter [57950/160000] lr: 3.750e-05, eta: 5:53:59, time: 0.173, data_time: 0.007, memory: 52541, decode.loss_ce: 0.0476, decode.acc_seg: 97.9432, loss: 0.0476 +2023-03-04 04:33:10,717 - mmseg - INFO - Exp name: ablation_segformer_mit_b2_segformer_head_unet_fc_small_multi_step_ade_pretrained_freeze_embed_160k_ade20k151_finetune_ema_wgt.py +2023-03-04 04:33:10,717 - mmseg - INFO - Iter [58000/160000] lr: 3.750e-05, eta: 5:53:44, time: 0.162, data_time: 0.008, memory: 52541, decode.loss_ce: 0.0483, decode.acc_seg: 97.9441, loss: 0.0483 +2023-03-04 04:33:18,811 - mmseg - INFO - Iter [58050/160000] lr: 3.750e-05, eta: 5:53:30, time: 0.162, data_time: 0.008, memory: 52541, decode.loss_ce: 0.0464, decode.acc_seg: 98.0243, loss: 0.0464 +2023-03-04 04:33:29,852 - mmseg - INFO - Iter [58100/160000] lr: 3.750e-05, eta: 5:53:21, time: 0.221, data_time: 0.056, memory: 52541, decode.loss_ce: 0.0443, decode.acc_seg: 98.0861, loss: 0.0443 +2023-03-04 04:33:38,066 - mmseg - INFO - Iter [58150/160000] lr: 3.750e-05, eta: 5:53:06, time: 0.164, data_time: 0.008, memory: 52541, decode.loss_ce: 0.0445, decode.acc_seg: 98.0930, loss: 0.0445 +2023-03-04 04:33:46,075 - mmseg - INFO - Iter [58200/160000] lr: 3.750e-05, eta: 5:52:52, time: 0.160, data_time: 0.007, memory: 52541, decode.loss_ce: 0.0460, decode.acc_seg: 98.0331, loss: 0.0460 +2023-03-04 04:33:54,158 - mmseg - INFO - Iter [58250/160000] lr: 3.750e-05, eta: 5:52:37, time: 0.162, data_time: 0.008, memory: 52541, decode.loss_ce: 0.0471, decode.acc_seg: 97.9859, loss: 0.0471 +2023-03-04 04:34:02,414 - mmseg - INFO - Iter [58300/160000] lr: 3.750e-05, eta: 5:52:23, time: 0.165, data_time: 0.007, memory: 52541, decode.loss_ce: 0.0459, decode.acc_seg: 98.0097, loss: 0.0459 +2023-03-04 04:34:10,842 - mmseg - INFO - Iter [58350/160000] lr: 3.750e-05, eta: 5:52:09, time: 0.168, data_time: 0.007, memory: 52541, decode.loss_ce: 0.0443, decode.acc_seg: 98.0905, loss: 0.0443 +2023-03-04 04:34:19,169 - mmseg - INFO - Iter [58400/160000] lr: 3.750e-05, eta: 5:51:55, time: 0.167, data_time: 0.008, memory: 52541, decode.loss_ce: 0.0420, decode.acc_seg: 98.1839, loss: 0.0420 +2023-03-04 04:34:27,650 - mmseg - INFO - Iter [58450/160000] lr: 3.750e-05, eta: 5:51:42, time: 0.170, data_time: 0.008, memory: 52541, decode.loss_ce: 0.0469, decode.acc_seg: 97.9870, loss: 0.0469 +2023-03-04 04:34:36,075 - mmseg - INFO - Iter [58500/160000] lr: 3.750e-05, eta: 5:51:28, time: 0.168, data_time: 0.008, memory: 52541, decode.loss_ce: 0.0479, decode.acc_seg: 97.9511, loss: 0.0479 +2023-03-04 04:34:44,488 - mmseg - INFO - Iter [58550/160000] lr: 3.750e-05, eta: 5:51:14, time: 0.168, data_time: 0.007, memory: 52541, decode.loss_ce: 0.0457, decode.acc_seg: 98.0311, loss: 0.0457 +2023-03-04 04:34:52,868 - mmseg - INFO - Iter [58600/160000] lr: 3.750e-05, eta: 5:51:00, time: 0.168, data_time: 0.008, memory: 52541, decode.loss_ce: 0.0460, decode.acc_seg: 98.0340, loss: 0.0460 +2023-03-04 04:35:01,585 - mmseg - INFO - Iter [58650/160000] lr: 3.750e-05, eta: 5:50:47, time: 0.175, data_time: 0.008, memory: 52541, decode.loss_ce: 0.0502, decode.acc_seg: 97.8835, loss: 0.0502 +2023-03-04 04:35:12,127 - mmseg - INFO - Iter [58700/160000] lr: 3.750e-05, eta: 5:50:37, time: 0.211, data_time: 0.056, memory: 52541, decode.loss_ce: 0.0436, decode.acc_seg: 98.1112, loss: 0.0436 +2023-03-04 04:35:20,396 - mmseg - INFO - Iter [58750/160000] lr: 3.750e-05, eta: 5:50:23, time: 0.165, data_time: 0.007, memory: 52541, decode.loss_ce: 0.0464, decode.acc_seg: 98.0227, loss: 0.0464 +2023-03-04 04:35:28,766 - mmseg - INFO - Iter [58800/160000] lr: 3.750e-05, eta: 5:50:09, time: 0.167, data_time: 0.008, memory: 52541, decode.loss_ce: 0.0460, decode.acc_seg: 98.0226, loss: 0.0460 +2023-03-04 04:35:37,142 - mmseg - INFO - Iter [58850/160000] lr: 3.750e-05, eta: 5:49:55, time: 0.168, data_time: 0.008, memory: 52541, decode.loss_ce: 0.0423, decode.acc_seg: 98.1594, loss: 0.0423 +2023-03-04 04:35:45,349 - mmseg - INFO - Iter [58900/160000] lr: 3.750e-05, eta: 5:49:41, time: 0.164, data_time: 0.008, memory: 52541, decode.loss_ce: 0.0451, decode.acc_seg: 98.0434, loss: 0.0451 +2023-03-04 04:35:54,032 - mmseg - INFO - Iter [58950/160000] lr: 3.750e-05, eta: 5:49:28, time: 0.174, data_time: 0.007, memory: 52541, decode.loss_ce: 0.0432, decode.acc_seg: 98.0956, loss: 0.0432 +2023-03-04 04:36:02,798 - mmseg - INFO - Exp name: ablation_segformer_mit_b2_segformer_head_unet_fc_small_multi_step_ade_pretrained_freeze_embed_160k_ade20k151_finetune_ema_wgt.py +2023-03-04 04:36:02,799 - mmseg - INFO - Iter [59000/160000] lr: 3.750e-05, eta: 5:49:15, time: 0.175, data_time: 0.007, memory: 52541, decode.loss_ce: 0.0458, decode.acc_seg: 98.0299, loss: 0.0458 +2023-03-04 04:36:11,082 - mmseg - INFO - Iter [59050/160000] lr: 3.750e-05, eta: 5:49:01, time: 0.166, data_time: 0.008, memory: 52541, decode.loss_ce: 0.0467, decode.acc_seg: 97.9738, loss: 0.0467 +2023-03-04 04:36:19,560 - mmseg - INFO - Iter [59100/160000] lr: 3.750e-05, eta: 5:48:47, time: 0.170, data_time: 0.008, memory: 52541, decode.loss_ce: 0.0486, decode.acc_seg: 97.9343, loss: 0.0486 +2023-03-04 04:36:27,730 - mmseg - INFO - Iter [59150/160000] lr: 3.750e-05, eta: 5:48:33, time: 0.163, data_time: 0.007, memory: 52541, decode.loss_ce: 0.0469, decode.acc_seg: 98.0091, loss: 0.0469 +2023-03-04 04:36:36,489 - mmseg - INFO - Iter [59200/160000] lr: 3.750e-05, eta: 5:48:20, time: 0.175, data_time: 0.007, memory: 52541, decode.loss_ce: 0.0457, decode.acc_seg: 98.0371, loss: 0.0457 +2023-03-04 04:36:45,481 - mmseg - INFO - Iter [59250/160000] lr: 3.750e-05, eta: 5:48:07, time: 0.180, data_time: 0.009, memory: 52541, decode.loss_ce: 0.0470, decode.acc_seg: 97.9855, loss: 0.0470 +2023-03-04 04:36:53,909 - mmseg - INFO - Iter [59300/160000] lr: 3.750e-05, eta: 5:47:53, time: 0.169, data_time: 0.007, memory: 52541, decode.loss_ce: 0.0496, decode.acc_seg: 97.8987, loss: 0.0496 +2023-03-04 04:37:04,636 - mmseg - INFO - Iter [59350/160000] lr: 3.750e-05, eta: 5:47:44, time: 0.215, data_time: 0.057, memory: 52541, decode.loss_ce: 0.0473, decode.acc_seg: 97.9568, loss: 0.0473 +2023-03-04 04:37:13,325 - mmseg - INFO - Iter [59400/160000] lr: 3.750e-05, eta: 5:47:30, time: 0.173, data_time: 0.007, memory: 52541, decode.loss_ce: 0.0467, decode.acc_seg: 98.0096, loss: 0.0467 +2023-03-04 04:37:21,601 - mmseg - INFO - Iter [59450/160000] lr: 3.750e-05, eta: 5:47:17, time: 0.166, data_time: 0.008, memory: 52541, decode.loss_ce: 0.0476, decode.acc_seg: 97.9716, loss: 0.0476 +2023-03-04 04:37:30,138 - mmseg - INFO - Iter [59500/160000] lr: 3.750e-05, eta: 5:47:03, time: 0.170, data_time: 0.007, memory: 52541, decode.loss_ce: 0.0439, decode.acc_seg: 98.1053, loss: 0.0439 +2023-03-04 04:37:38,599 - mmseg - INFO - Iter [59550/160000] lr: 3.750e-05, eta: 5:46:50, time: 0.169, data_time: 0.008, memory: 52541, decode.loss_ce: 0.0483, decode.acc_seg: 97.9132, loss: 0.0483 +2023-03-04 04:37:46,794 - mmseg - INFO - Iter [59600/160000] lr: 3.750e-05, eta: 5:46:36, time: 0.164, data_time: 0.008, memory: 52541, decode.loss_ce: 0.0504, decode.acc_seg: 97.8953, loss: 0.0504 +2023-03-04 04:37:54,894 - mmseg - INFO - Iter [59650/160000] lr: 3.750e-05, eta: 5:46:21, time: 0.162, data_time: 0.008, memory: 52541, decode.loss_ce: 0.0439, decode.acc_seg: 98.0744, loss: 0.0439 +2023-03-04 04:38:03,051 - mmseg - INFO - Iter [59700/160000] lr: 3.750e-05, eta: 5:46:07, time: 0.163, data_time: 0.008, memory: 52541, decode.loss_ce: 0.0457, decode.acc_seg: 98.0151, loss: 0.0457 +2023-03-04 04:38:11,308 - mmseg - INFO - Iter [59750/160000] lr: 3.750e-05, eta: 5:45:53, time: 0.165, data_time: 0.008, memory: 52541, decode.loss_ce: 0.0432, decode.acc_seg: 98.1254, loss: 0.0432 +2023-03-04 04:38:19,553 - mmseg - INFO - Iter [59800/160000] lr: 3.750e-05, eta: 5:45:40, time: 0.165, data_time: 0.007, memory: 52541, decode.loss_ce: 0.0477, decode.acc_seg: 97.9856, loss: 0.0477 +2023-03-04 04:38:28,033 - mmseg - INFO - Iter [59850/160000] lr: 3.750e-05, eta: 5:45:26, time: 0.169, data_time: 0.008, memory: 52541, decode.loss_ce: 0.0466, decode.acc_seg: 97.9923, loss: 0.0466 +2023-03-04 04:38:37,006 - mmseg - INFO - Iter [59900/160000] lr: 3.750e-05, eta: 5:45:13, time: 0.179, data_time: 0.007, memory: 52541, decode.loss_ce: 0.0451, decode.acc_seg: 98.0520, loss: 0.0451 +2023-03-04 04:38:47,555 - mmseg - INFO - Iter [59950/160000] lr: 3.750e-05, eta: 5:45:03, time: 0.211, data_time: 0.056, memory: 52541, decode.loss_ce: 0.0440, decode.acc_seg: 98.1214, loss: 0.0440 +2023-03-04 04:38:55,560 - mmseg - INFO - Exp name: ablation_segformer_mit_b2_segformer_head_unet_fc_small_multi_step_ade_pretrained_freeze_embed_160k_ade20k151_finetune_ema_wgt.py +2023-03-04 04:38:55,560 - mmseg - INFO - Iter [60000/160000] lr: 3.750e-05, eta: 5:44:49, time: 0.160, data_time: 0.008, memory: 52541, decode.loss_ce: 0.0461, decode.acc_seg: 98.0244, loss: 0.0461 +2023-03-04 04:39:03,634 - mmseg - INFO - Iter [60050/160000] lr: 1.875e-05, eta: 5:44:35, time: 0.161, data_time: 0.008, memory: 52541, decode.loss_ce: 0.0476, decode.acc_seg: 97.9759, loss: 0.0476 +2023-03-04 04:39:12,005 - mmseg - INFO - Iter [60100/160000] lr: 1.875e-05, eta: 5:44:21, time: 0.167, data_time: 0.007, memory: 52541, decode.loss_ce: 0.0429, decode.acc_seg: 98.1167, loss: 0.0429 +2023-03-04 04:39:20,340 - mmseg - INFO - Iter [60150/160000] lr: 1.875e-05, eta: 5:44:08, time: 0.167, data_time: 0.007, memory: 52541, decode.loss_ce: 0.0430, decode.acc_seg: 98.1290, loss: 0.0430 +2023-03-04 04:39:28,609 - mmseg - INFO - Iter [60200/160000] lr: 1.875e-05, eta: 5:43:54, time: 0.165, data_time: 0.008, memory: 52541, decode.loss_ce: 0.0443, decode.acc_seg: 98.0961, loss: 0.0443 +2023-03-04 04:39:36,901 - mmseg - INFO - Iter [60250/160000] lr: 1.875e-05, eta: 5:43:40, time: 0.166, data_time: 0.008, memory: 52541, decode.loss_ce: 0.0453, decode.acc_seg: 98.0574, loss: 0.0453 +2023-03-04 04:39:45,641 - mmseg - INFO - Iter [60300/160000] lr: 1.875e-05, eta: 5:43:27, time: 0.175, data_time: 0.009, memory: 52541, decode.loss_ce: 0.0440, decode.acc_seg: 98.0835, loss: 0.0440 +2023-03-04 04:39:54,026 - mmseg - INFO - Iter [60350/160000] lr: 1.875e-05, eta: 5:43:14, time: 0.167, data_time: 0.008, memory: 52541, decode.loss_ce: 0.0441, decode.acc_seg: 98.0648, loss: 0.0441 +2023-03-04 04:40:02,333 - mmseg - INFO - Iter [60400/160000] lr: 1.875e-05, eta: 5:43:00, time: 0.166, data_time: 0.007, memory: 52541, decode.loss_ce: 0.0455, decode.acc_seg: 98.0515, loss: 0.0455 +2023-03-04 04:40:10,565 - mmseg - INFO - Iter [60450/160000] lr: 1.875e-05, eta: 5:42:46, time: 0.165, data_time: 0.007, memory: 52541, decode.loss_ce: 0.0456, decode.acc_seg: 98.0452, loss: 0.0456 +2023-03-04 04:40:18,538 - mmseg - INFO - Iter [60500/160000] lr: 1.875e-05, eta: 5:42:32, time: 0.159, data_time: 0.008, memory: 52541, decode.loss_ce: 0.0435, decode.acc_seg: 98.1115, loss: 0.0435 +2023-03-04 04:40:27,026 - mmseg - INFO - Iter [60550/160000] lr: 1.875e-05, eta: 5:42:19, time: 0.170, data_time: 0.007, memory: 52541, decode.loss_ce: 0.0443, decode.acc_seg: 98.0881, loss: 0.0443 +2023-03-04 04:40:37,712 - mmseg - INFO - Iter [60600/160000] lr: 1.875e-05, eta: 5:42:09, time: 0.213, data_time: 0.055, memory: 52541, decode.loss_ce: 0.0476, decode.acc_seg: 97.9720, loss: 0.0476 +2023-03-04 04:40:45,796 - mmseg - INFO - Iter [60650/160000] lr: 1.875e-05, eta: 5:41:55, time: 0.162, data_time: 0.008, memory: 52541, decode.loss_ce: 0.0448, decode.acc_seg: 98.0815, loss: 0.0448 +2023-03-04 04:40:54,108 - mmseg - INFO - Iter [60700/160000] lr: 1.875e-05, eta: 5:41:41, time: 0.166, data_time: 0.007, memory: 52541, decode.loss_ce: 0.0453, decode.acc_seg: 98.0661, loss: 0.0453 +2023-03-04 04:41:02,559 - mmseg - INFO - Iter [60750/160000] lr: 1.875e-05, eta: 5:41:28, time: 0.169, data_time: 0.007, memory: 52541, decode.loss_ce: 0.0438, decode.acc_seg: 98.0932, loss: 0.0438 +2023-03-04 04:41:11,068 - mmseg - INFO - Iter [60800/160000] lr: 1.875e-05, eta: 5:41:15, time: 0.170, data_time: 0.007, memory: 52541, decode.loss_ce: 0.0451, decode.acc_seg: 98.0944, loss: 0.0451 +2023-03-04 04:41:19,579 - mmseg - INFO - Iter [60850/160000] lr: 1.875e-05, eta: 5:41:01, time: 0.170, data_time: 0.009, memory: 52541, decode.loss_ce: 0.0459, decode.acc_seg: 98.0452, loss: 0.0459 +2023-03-04 04:41:28,029 - mmseg - INFO - Iter [60900/160000] lr: 1.875e-05, eta: 5:40:48, time: 0.169, data_time: 0.007, memory: 52541, decode.loss_ce: 0.0432, decode.acc_seg: 98.1200, loss: 0.0432 +2023-03-04 04:41:36,336 - mmseg - INFO - Iter [60950/160000] lr: 1.875e-05, eta: 5:40:35, time: 0.167, data_time: 0.008, memory: 52541, decode.loss_ce: 0.0445, decode.acc_seg: 98.0504, loss: 0.0445 +2023-03-04 04:41:45,006 - mmseg - INFO - Exp name: ablation_segformer_mit_b2_segformer_head_unet_fc_small_multi_step_ade_pretrained_freeze_embed_160k_ade20k151_finetune_ema_wgt.py +2023-03-04 04:41:45,006 - mmseg - INFO - Iter [61000/160000] lr: 1.875e-05, eta: 5:40:22, time: 0.173, data_time: 0.007, memory: 52541, decode.loss_ce: 0.0439, decode.acc_seg: 98.1176, loss: 0.0439 +2023-03-04 04:41:53,456 - mmseg - INFO - Iter [61050/160000] lr: 1.875e-05, eta: 5:40:08, time: 0.169, data_time: 0.008, memory: 52541, decode.loss_ce: 0.0438, decode.acc_seg: 98.1136, loss: 0.0438 +2023-03-04 04:42:01,663 - mmseg - INFO - Iter [61100/160000] lr: 1.875e-05, eta: 5:39:54, time: 0.164, data_time: 0.007, memory: 52541, decode.loss_ce: 0.0447, decode.acc_seg: 98.0828, loss: 0.0447 +2023-03-04 04:42:10,008 - mmseg - INFO - Iter [61150/160000] lr: 1.875e-05, eta: 5:39:41, time: 0.167, data_time: 0.007, memory: 52541, decode.loss_ce: 0.0453, decode.acc_seg: 98.0129, loss: 0.0453 +2023-03-04 04:42:18,741 - mmseg - INFO - Iter [61200/160000] lr: 1.875e-05, eta: 5:39:28, time: 0.175, data_time: 0.008, memory: 52541, decode.loss_ce: 0.0469, decode.acc_seg: 97.9902, loss: 0.0469 +2023-03-04 04:42:29,846 - mmseg - INFO - Iter [61250/160000] lr: 1.875e-05, eta: 5:39:19, time: 0.222, data_time: 0.055, memory: 52541, decode.loss_ce: 0.0443, decode.acc_seg: 98.0957, loss: 0.0443 +2023-03-04 04:42:38,290 - mmseg - INFO - Iter [61300/160000] lr: 1.875e-05, eta: 5:39:06, time: 0.169, data_time: 0.007, memory: 52541, decode.loss_ce: 0.0441, decode.acc_seg: 98.0885, loss: 0.0441 +2023-03-04 04:42:46,740 - mmseg - INFO - Iter [61350/160000] lr: 1.875e-05, eta: 5:38:52, time: 0.169, data_time: 0.007, memory: 52541, decode.loss_ce: 0.0418, decode.acc_seg: 98.1919, loss: 0.0418 +2023-03-04 04:42:55,625 - mmseg - INFO - Iter [61400/160000] lr: 1.875e-05, eta: 5:38:40, time: 0.178, data_time: 0.008, memory: 52541, decode.loss_ce: 0.0491, decode.acc_seg: 97.8965, loss: 0.0491 +2023-03-04 04:43:03,875 - mmseg - INFO - Iter [61450/160000] lr: 1.875e-05, eta: 5:38:26, time: 0.165, data_time: 0.007, memory: 52541, decode.loss_ce: 0.0447, decode.acc_seg: 98.0788, loss: 0.0447 +2023-03-04 04:43:12,414 - mmseg - INFO - Iter [61500/160000] lr: 1.875e-05, eta: 5:38:13, time: 0.171, data_time: 0.007, memory: 52541, decode.loss_ce: 0.0453, decode.acc_seg: 98.0377, loss: 0.0453 +2023-03-04 04:43:20,819 - mmseg - INFO - Iter [61550/160000] lr: 1.875e-05, eta: 5:38:00, time: 0.168, data_time: 0.008, memory: 52541, decode.loss_ce: 0.0431, decode.acc_seg: 98.1390, loss: 0.0431 +2023-03-04 04:43:29,316 - mmseg - INFO - Iter [61600/160000] lr: 1.875e-05, eta: 5:37:47, time: 0.170, data_time: 0.007, memory: 52541, decode.loss_ce: 0.0440, decode.acc_seg: 98.1335, loss: 0.0440 +2023-03-04 04:43:37,726 - mmseg - INFO - Iter [61650/160000] lr: 1.875e-05, eta: 5:37:33, time: 0.168, data_time: 0.007, memory: 52541, decode.loss_ce: 0.0462, decode.acc_seg: 98.0180, loss: 0.0462 +2023-03-04 04:43:46,193 - mmseg - INFO - Iter [61700/160000] lr: 1.875e-05, eta: 5:37:20, time: 0.169, data_time: 0.007, memory: 52541, decode.loss_ce: 0.0440, decode.acc_seg: 98.0847, loss: 0.0440 +2023-03-04 04:43:54,784 - mmseg - INFO - Iter [61750/160000] lr: 1.875e-05, eta: 5:37:07, time: 0.172, data_time: 0.008, memory: 52541, decode.loss_ce: 0.0452, decode.acc_seg: 98.0668, loss: 0.0452 +2023-03-04 04:44:03,332 - mmseg - INFO - Iter [61800/160000] lr: 1.875e-05, eta: 5:36:54, time: 0.171, data_time: 0.007, memory: 52541, decode.loss_ce: 0.0458, decode.acc_seg: 97.9787, loss: 0.0458 +2023-03-04 04:44:14,452 - mmseg - INFO - Iter [61850/160000] lr: 1.875e-05, eta: 5:36:45, time: 0.223, data_time: 0.055, memory: 52541, decode.loss_ce: 0.0450, decode.acc_seg: 98.0649, loss: 0.0450 +2023-03-04 04:44:22,753 - mmseg - INFO - Iter [61900/160000] lr: 1.875e-05, eta: 5:36:32, time: 0.166, data_time: 0.007, memory: 52541, decode.loss_ce: 0.0438, decode.acc_seg: 98.0980, loss: 0.0438 +2023-03-04 04:44:31,457 - mmseg - INFO - Iter [61950/160000] lr: 1.875e-05, eta: 5:36:19, time: 0.174, data_time: 0.009, memory: 52541, decode.loss_ce: 0.0435, decode.acc_seg: 98.1127, loss: 0.0435 +2023-03-04 04:44:39,637 - mmseg - INFO - Exp name: ablation_segformer_mit_b2_segformer_head_unet_fc_small_multi_step_ade_pretrained_freeze_embed_160k_ade20k151_finetune_ema_wgt.py +2023-03-04 04:44:39,637 - mmseg - INFO - Iter [62000/160000] lr: 1.875e-05, eta: 5:36:05, time: 0.164, data_time: 0.008, memory: 52541, decode.loss_ce: 0.0424, decode.acc_seg: 98.1360, loss: 0.0424 +2023-03-04 04:44:48,208 - mmseg - INFO - Iter [62050/160000] lr: 1.875e-05, eta: 5:35:52, time: 0.171, data_time: 0.008, memory: 52541, decode.loss_ce: 0.0437, decode.acc_seg: 98.0951, loss: 0.0437 +2023-03-04 04:44:56,472 - mmseg - INFO - Iter [62100/160000] lr: 1.875e-05, eta: 5:35:39, time: 0.165, data_time: 0.007, memory: 52541, decode.loss_ce: 0.0438, decode.acc_seg: 98.1000, loss: 0.0438 +2023-03-04 04:45:04,710 - mmseg - INFO - Iter [62150/160000] lr: 1.875e-05, eta: 5:35:25, time: 0.165, data_time: 0.007, memory: 52541, decode.loss_ce: 0.0484, decode.acc_seg: 97.9683, loss: 0.0484 +2023-03-04 04:45:12,699 - mmseg - INFO - Iter [62200/160000] lr: 1.875e-05, eta: 5:35:11, time: 0.160, data_time: 0.008, memory: 52541, decode.loss_ce: 0.0436, decode.acc_seg: 98.1116, loss: 0.0436 +2023-03-04 04:45:20,892 - mmseg - INFO - Iter [62250/160000] lr: 1.875e-05, eta: 5:34:58, time: 0.164, data_time: 0.007, memory: 52541, decode.loss_ce: 0.0452, decode.acc_seg: 98.0428, loss: 0.0452 +2023-03-04 04:45:29,169 - mmseg - INFO - Iter [62300/160000] lr: 1.875e-05, eta: 5:34:44, time: 0.165, data_time: 0.008, memory: 52541, decode.loss_ce: 0.0452, decode.acc_seg: 98.0386, loss: 0.0452 +2023-03-04 04:45:37,368 - mmseg - INFO - Iter [62350/160000] lr: 1.875e-05, eta: 5:34:31, time: 0.164, data_time: 0.008, memory: 52541, decode.loss_ce: 0.0481, decode.acc_seg: 97.9392, loss: 0.0481 +2023-03-04 04:45:45,787 - mmseg - INFO - Iter [62400/160000] lr: 1.875e-05, eta: 5:34:18, time: 0.168, data_time: 0.007, memory: 52541, decode.loss_ce: 0.0437, decode.acc_seg: 98.1109, loss: 0.0437 +2023-03-04 04:45:54,554 - mmseg - INFO - Iter [62450/160000] lr: 1.875e-05, eta: 5:34:05, time: 0.175, data_time: 0.007, memory: 52541, decode.loss_ce: 0.0439, decode.acc_seg: 98.0713, loss: 0.0439 +2023-03-04 04:46:05,218 - mmseg - INFO - Iter [62500/160000] lr: 1.875e-05, eta: 5:33:55, time: 0.213, data_time: 0.057, memory: 52541, decode.loss_ce: 0.0452, decode.acc_seg: 98.0519, loss: 0.0452 +2023-03-04 04:46:13,906 - mmseg - INFO - Iter [62550/160000] lr: 1.875e-05, eta: 5:33:43, time: 0.174, data_time: 0.008, memory: 52541, decode.loss_ce: 0.0469, decode.acc_seg: 97.9751, loss: 0.0469 +2023-03-04 04:46:22,380 - mmseg - INFO - Iter [62600/160000] lr: 1.875e-05, eta: 5:33:29, time: 0.169, data_time: 0.007, memory: 52541, decode.loss_ce: 0.0417, decode.acc_seg: 98.1529, loss: 0.0417 +2023-03-04 04:46:30,994 - mmseg - INFO - Iter [62650/160000] lr: 1.875e-05, eta: 5:33:17, time: 0.173, data_time: 0.007, memory: 52541, decode.loss_ce: 0.0418, decode.acc_seg: 98.1739, loss: 0.0418 +2023-03-04 04:46:39,339 - mmseg - INFO - Iter [62700/160000] lr: 1.875e-05, eta: 5:33:03, time: 0.167, data_time: 0.007, memory: 52541, decode.loss_ce: 0.0470, decode.acc_seg: 97.9927, loss: 0.0470 +2023-03-04 04:46:47,561 - mmseg - INFO - Iter [62750/160000] lr: 1.875e-05, eta: 5:32:50, time: 0.165, data_time: 0.008, memory: 52541, decode.loss_ce: 0.0467, decode.acc_seg: 98.0036, loss: 0.0467 +2023-03-04 04:46:56,082 - mmseg - INFO - Iter [62800/160000] lr: 1.875e-05, eta: 5:32:37, time: 0.170, data_time: 0.007, memory: 52541, decode.loss_ce: 0.0477, decode.acc_seg: 97.9624, loss: 0.0477 +2023-03-04 04:47:04,857 - mmseg - INFO - Iter [62850/160000] lr: 1.875e-05, eta: 5:32:24, time: 0.175, data_time: 0.007, memory: 52541, decode.loss_ce: 0.0441, decode.acc_seg: 98.0725, loss: 0.0441 +2023-03-04 04:47:12,998 - mmseg - INFO - Iter [62900/160000] lr: 1.875e-05, eta: 5:32:11, time: 0.163, data_time: 0.008, memory: 52541, decode.loss_ce: 0.0435, decode.acc_seg: 98.0819, loss: 0.0435 +2023-03-04 04:47:21,381 - mmseg - INFO - Iter [62950/160000] lr: 1.875e-05, eta: 5:31:58, time: 0.167, data_time: 0.007, memory: 52541, decode.loss_ce: 0.0475, decode.acc_seg: 97.9713, loss: 0.0475 +2023-03-04 04:47:29,599 - mmseg - INFO - Exp name: ablation_segformer_mit_b2_segformer_head_unet_fc_small_multi_step_ade_pretrained_freeze_embed_160k_ade20k151_finetune_ema_wgt.py +2023-03-04 04:47:29,600 - mmseg - INFO - Iter [63000/160000] lr: 1.875e-05, eta: 5:31:44, time: 0.165, data_time: 0.008, memory: 52541, decode.loss_ce: 0.0475, decode.acc_seg: 97.9667, loss: 0.0475 +2023-03-04 04:47:37,910 - mmseg - INFO - Iter [63050/160000] lr: 1.875e-05, eta: 5:31:31, time: 0.166, data_time: 0.008, memory: 52541, decode.loss_ce: 0.0454, decode.acc_seg: 98.0345, loss: 0.0454 +2023-03-04 04:47:46,315 - mmseg - INFO - Iter [63100/160000] lr: 1.875e-05, eta: 5:31:18, time: 0.168, data_time: 0.007, memory: 52541, decode.loss_ce: 0.0483, decode.acc_seg: 97.9444, loss: 0.0483 +2023-03-04 04:47:57,510 - mmseg - INFO - Iter [63150/160000] lr: 1.875e-05, eta: 5:31:09, time: 0.224, data_time: 0.056, memory: 52541, decode.loss_ce: 0.0442, decode.acc_seg: 98.0598, loss: 0.0442 +2023-03-04 04:48:06,066 - mmseg - INFO - Iter [63200/160000] lr: 1.875e-05, eta: 5:30:56, time: 0.171, data_time: 0.007, memory: 52541, decode.loss_ce: 0.0455, decode.acc_seg: 98.0568, loss: 0.0455 +2023-03-04 04:48:14,778 - mmseg - INFO - Iter [63250/160000] lr: 1.875e-05, eta: 5:30:44, time: 0.174, data_time: 0.008, memory: 52541, decode.loss_ce: 0.0426, decode.acc_seg: 98.1610, loss: 0.0426 +2023-03-04 04:48:23,229 - mmseg - INFO - Iter [63300/160000] lr: 1.875e-05, eta: 5:30:31, time: 0.169, data_time: 0.008, memory: 52541, decode.loss_ce: 0.0424, decode.acc_seg: 98.1395, loss: 0.0424 +2023-03-04 04:48:31,779 - mmseg - INFO - Iter [63350/160000] lr: 1.875e-05, eta: 5:30:18, time: 0.171, data_time: 0.007, memory: 52541, decode.loss_ce: 0.0413, decode.acc_seg: 98.1965, loss: 0.0413 +2023-03-04 04:48:40,044 - mmseg - INFO - Iter [63400/160000] lr: 1.875e-05, eta: 5:30:04, time: 0.166, data_time: 0.008, memory: 52541, decode.loss_ce: 0.0445, decode.acc_seg: 98.0658, loss: 0.0445 +2023-03-04 04:48:48,309 - mmseg - INFO - Iter [63450/160000] lr: 1.875e-05, eta: 5:29:51, time: 0.165, data_time: 0.008, memory: 52541, decode.loss_ce: 0.0457, decode.acc_seg: 98.0259, loss: 0.0457 +2023-03-04 04:48:57,333 - mmseg - INFO - Iter [63500/160000] lr: 1.875e-05, eta: 5:29:39, time: 0.180, data_time: 0.010, memory: 52541, decode.loss_ce: 0.0440, decode.acc_seg: 98.0945, loss: 0.0440 +2023-03-04 04:49:06,192 - mmseg - INFO - Iter [63550/160000] lr: 1.875e-05, eta: 5:29:27, time: 0.177, data_time: 0.007, memory: 52541, decode.loss_ce: 0.0446, decode.acc_seg: 98.0650, loss: 0.0446 +2023-03-04 04:49:14,754 - mmseg - INFO - Iter [63600/160000] lr: 1.875e-05, eta: 5:29:14, time: 0.171, data_time: 0.007, memory: 52541, decode.loss_ce: 0.0428, decode.acc_seg: 98.1069, loss: 0.0428 +2023-03-04 04:49:23,099 - mmseg - INFO - Iter [63650/160000] lr: 1.875e-05, eta: 5:29:01, time: 0.167, data_time: 0.008, memory: 52541, decode.loss_ce: 0.0433, decode.acc_seg: 98.1041, loss: 0.0433 +2023-03-04 04:49:31,200 - mmseg - INFO - Iter [63700/160000] lr: 1.875e-05, eta: 5:28:47, time: 0.162, data_time: 0.008, memory: 52541, decode.loss_ce: 0.0480, decode.acc_seg: 97.9242, loss: 0.0480 +2023-03-04 04:49:41,865 - mmseg - INFO - Iter [63750/160000] lr: 1.875e-05, eta: 5:28:38, time: 0.213, data_time: 0.055, memory: 52541, decode.loss_ce: 0.0465, decode.acc_seg: 97.9655, loss: 0.0465 +2023-03-04 04:49:50,545 - mmseg - INFO - Iter [63800/160000] lr: 1.875e-05, eta: 5:28:25, time: 0.174, data_time: 0.007, memory: 52541, decode.loss_ce: 0.0472, decode.acc_seg: 97.9685, loss: 0.0472 +2023-03-04 04:49:58,758 - mmseg - INFO - Iter [63850/160000] lr: 1.875e-05, eta: 5:28:12, time: 0.164, data_time: 0.007, memory: 52541, decode.loss_ce: 0.0430, decode.acc_seg: 98.1295, loss: 0.0430 +2023-03-04 04:50:07,089 - mmseg - INFO - Iter [63900/160000] lr: 1.875e-05, eta: 5:27:59, time: 0.167, data_time: 0.007, memory: 52541, decode.loss_ce: 0.0429, decode.acc_seg: 98.1373, loss: 0.0429 +2023-03-04 04:50:15,855 - mmseg - INFO - Iter [63950/160000] lr: 1.875e-05, eta: 5:27:46, time: 0.175, data_time: 0.007, memory: 52541, decode.loss_ce: 0.0440, decode.acc_seg: 98.0503, loss: 0.0440 +2023-03-04 04:50:23,972 - mmseg - INFO - Swap parameters (after train) after iter [64000] +2023-03-04 04:50:23,985 - mmseg - INFO - Saving checkpoint at 64000 iterations +2023-03-04 04:50:25,073 - mmseg - INFO - Exp name: ablation_segformer_mit_b2_segformer_head_unet_fc_small_multi_step_ade_pretrained_freeze_embed_160k_ade20k151_finetune_ema_wgt.py +2023-03-04 04:50:25,074 - mmseg - INFO - Iter [64000/160000] lr: 1.875e-05, eta: 5:27:34, time: 0.184, data_time: 0.008, memory: 52541, decode.loss_ce: 0.0420, decode.acc_seg: 98.1459, loss: 0.0420 +2023-03-04 05:01:07,911 - mmseg - INFO - per class results: +2023-03-04 05:01:07,923 - mmseg - INFO - ++---------------------+-------------------------------------------------------------------+ +| Class | IoU 0,10,20,30,40,50,60,70,80,90,99 | ++---------------------+-------------------------------------------------------------------+ +| background | nan,nan,nan,nan,nan,nan,nan,nan,nan,nan,nan | +| wall | 76.75,75.8,73.92,70.66,66.55,62.38,58.59,55.51,53.11,51.35,50.25 | +| building | 81.33,81.08,80.5,79.05,76.54,73.36,70.12,67.38,65.24,63.67,62.72 | +| sky | 94.39,94.11,93.5,92.18,89.68,86.26,82.72,79.67,77.18,75.24,73.96 | +| floor | 81.3,80.36,79.15,76.64,72.84,68.44,64.26,60.79,58.12,56.14,54.96 | +| tree | 73.91,72.9,71.23,67.77,62.47,56.35,50.82,46.47,43.26,40.84,39.33 | +| ceiling | 84.3,83.32,80.48,74.79,67.39,59.85,53.01,47.2,42.39,38.62,35.99 | +| road | 81.36,80.92,79.3,76.74,73.83,71.0,68.41,66.28,64.64,63.31,62.48 | +| bed | 87.55,87.82,87.09,85.11,81.75,77.38,72.68,68.42,64.89,62.25,60.59 | +| windowpane | 59.55,59.58,58.05,55.42,51.9,48.23,44.72,41.73,39.36,37.52,36.42 | +| grass | 66.54,65.65,64.45,62.37,59.68,57.09,54.99,53.15,51.73,50.62,49.91 | +| cabinet | 60.33,61.35,60.36,58.69,56.15,52.89,49.65,46.75,44.33,42.41,41.19 | +| sidewalk | 62.61,61.16,57.59,52.22,46.96,43.02,40.37,38.53,37.27,36.42,35.99 | +| person | 78.8,78.11,76.69,74.08,69.62,63.76,57.23,51.36,46.67,43.22,41.2 | +| earth | 35.42,35.55,35.59,35.14,34.37,33.3,32.33,31.58,30.97,30.57,30.36 | +| door | 44.96,43.83,42.01,39.27,36.17,33.29,30.62,28.25,26.5,25.28,24.37 | +| table | 58.77,59.08,57.8,54.86,50.18,44.44,38.84,34.2,30.81,28.38,27.09 | +| mountain | 56.24,56.22,56.0,54.83,52.83,50.62,48.48,46.79,45.41,44.4,43.75 | +| plant | 49.82,48.8,47.57,45.45,42.36,38.98,35.84,33.22,31.17,29.75,28.95 | +| curtain | 73.62,72.59,70.59,66.82,61.83,56.33,50.9,46.33,42.65,39.99,38.39 | +| chair | 54.92,54.55,53.79,52.05,48.58,43.9,38.7,34.13,30.65,28.17,26.69 | +| car | 81.41,81.78,81.31,79.28,75.68,70.29,64.04,58.01,53.28,49.72,47.59 | +| water | 55.52,56.49,56.26,55.16,53.93,52.34,50.93,49.7,48.75,48.0,47.52 | +| painting | 69.82,69.6,68.52,66.97,64.74,62.39,60.12,58.25,56.78,55.69,55.17 | +| sofa | 62.6,63.28,62.97,62.08,60.54,57.59,53.85,50.11,47.1,44.81,43.57 | +| shelf | 44.51,43.41,42.11,40.15,37.28,33.91,31.34,29.34,27.81,26.61,26.03 | +| house | 40.12,40.64,40.66,40.21,39.42,38.26,36.86,35.31,33.95,32.82,32.11 | +| sea | 57.88,59.38,59.58,58.78,57.55,55.99,54.4,53.09,51.88,50.86,50.27 | +| mirror | 63.47,64.71,63.48,61.76,59.04,55.64,51.79,48.22,44.74,41.72,39.28 | +| rug | 63.13,64.34,63.45,61.2,56.89,51.9,47.2,43.21,39.86,37.31,35.86 | +| field | 30.58,29.97,29.64,29.3,28.97,28.59,28.3,28.09,27.84,27.73,27.72 | +| armchair | 37.3,38.9,38.5,37.69,36.33,34.4,31.92,29.2,26.77,24.62,23.33 | +| seat | 65.29,65.94,65.36,63.46,60.9,57.99,55.26,52.97,50.77,49.02,48.0 | +| fence | 39.19,39.31,38.07,35.49,32.08,28.78,26.18,24.39,23.18,22.43,22.0 | +| desk | 46.58,46.58,46.14,44.91,42.32,38.97,35.68,32.82,30.46,28.78,27.64 | +| rock | 36.53,36.53,35.47,34.1,32.32,30.38,28.52,27.08,25.98,25.02,24.36 | +| wardrobe | 55.26,55.49,54.03,52.41,50.25,48.31,46.23,44.4,43.17,42.19,41.62 | +| lamp | 60.32,60.58,60.52,59.15,56.6,52.9,47.67,42.03,36.81,32.42,29.38 | +| bathtub | 72.39,72.0,71.16,68.55,65.03,60.63,56.28,51.94,48.01,45.08,43.17 | +| railing | 34.09,34.54,33.3,31.59,28.47,25.35,22.9,21.22,19.83,18.91,18.5 | +| cushion | 53.63,51.76,50.91,50.05,49.07,46.58,42.74,37.45,32.06,27.58,25.1 | +| base | 22.23,22.79,22.37,21.47,20.18,18.92,17.55,16.19,15.11,14.37,13.89 | +| box | 22.93,22.1,22.52,21.8,20.76,19.26,17.89,16.76,15.61,14.6,14.09 | +| column | 44.92,45.61,44.27,41.61,38.57,34.86,30.76,26.42,23.34,21.46,20.34 | +| signboard | 36.84,36.67,36.68,35.21,32.84,30.18,27.1,24.06,21.36,19.43,18.17 | +| chest of drawers | 37.22,39.92,39.31,38.45,37.43,36.2,34.71,32.93,31.55,30.51,29.85 | +| counter | 29.93,31.79,33.1,32.1,30.91,28.59,26.38,24.1,22.24,21.19,20.54 | +| sand | 39.81,38.45,38.75,38.67,38.69,38.71,38.34,37.97,37.61,37.44,37.39 | +| sink | 66.64,67.4,66.89,64.43,60.58,55.73,49.6,43.25,37.91,33.61,30.79 | +| skyscraper | 48.83,48.48,47.74,47.06,45.96,44.89,43.58,42.39,41.26,40.5,39.92 | +| fireplace | 75.13,74.94,73.59,71.93,70.3,67.89,64.54,61.02,58.2,55.59,53.52 | +| refrigerator | 72.49,71.59,71.25,69.38,67.18,64.07,60.59,57.19,54.34,52.06,50.25 | +| grandstand | 49.78,54.85,56.9,56.23,54.41,52.17,49.29,47.15,44.64,42.76,41.53 | +| path | 20.76,20.09,19.82,19.59,17.99,16.39,15.81,15.3,14.65,14.15,13.81 | +| stairs | 34.15,32.46,32.84,31.65,29.41,26.44,23.16,20.88,19.41,18.84,18.77 | +| runway | 65.57,64.63,64.3,63.42,62.12,61.3,60.77,60.27,59.78,59.22,58.79 | +| case | 46.96,48.16,48.32,46.95,44.83,42.83,41.85,41.33,41.14,41.1,41.06 | +| pool table | 91.56,91.37,89.58,87.44,84.06,79.64,74.74,69.61,65.61,62.4,60.59 | +| pillow | 57.58,56.85,55.89,53.13,48.17,42.3,35.74,29.14,23.63,20.07,18.05 | +| screen door | 71.03,64.5,61.98,58.54,55.07,50.66,46.88,42.82,39.1,35.53,33.53 | +| stairway | 24.17,22.78,22.38,21.45,20.12,18.27,16.79,15.83,15.13,14.62,14.0 | +| river | 11.6,11.65,11.57,11.41,11.17,10.9,10.63,10.38,10.25,10.16,10.17 | +| bridge | 31.43,28.69,27.48,26.71,25.32,23.61,22.21,21.17,20.17,19.54,19.24 | +| bookcase | 45.18,43.67,42.64,40.39,37.15,33.32,29.46,26.3,24.04,22.18,21.34 | +| blind | 35.61,35.56,34.92,34.63,34.01,33.79,33.07,32.17,31.02,30.23,29.99 | +| coffee table | 53.21,52.99,52.86,52.13,50.22,46.96,43.06,39.04,35.55,32.23,30.08 | +| toilet | 83.26,83.43,83.02,81.85,79.16,75.44,71.16,66.76,62.23,58.18,55.29 | +| flower | 39.58,38.87,37.03,34.57,30.83,26.4,22.06,18.72,16.18,14.26,13.17 | +| book | 43.02,43.29,42.91,41.93,39.66,36.93,34.25,31.79,29.89,27.79,26.78 | +| hill | 13.04,13.61,14.36,13.94,12.8,12.16,11.46,10.85,10.5,10.22,9.91 | +| bench | 40.03,40.71,40.02,39.01,37.51,35.79,34.0,32.28,30.93,30.02,29.59 | +| countertop | 50.59,52.81,52.66,51.87,48.41,43.05,37.74,33.27,30.06,27.53,25.72 | +| stove | 70.77,70.06,69.41,67.49,65.02,61.18,56.38,51.57,47.31,43.79,41.63 | +| palm | 47.91,47.41,46.14,43.62,40.03,36.89,33.37,29.8,27.6,26.04,24.68 | +| kitchen island | 39.76,41.43,42.26,42.15,40.87,38.86,36.51,34.29,32.83,31.18,29.95 | +| computer | 58.18,56.37,54.74,53.7,51.61,49.37,47.27,45.18,43.16,41.53,40.38 | +| swivel chair | 42.84,44.75,44.09,43.51,42.51,40.62,37.64,34.5,31.83,29.56,28.31 | +| boat | 68.59,72.68,74.11,71.02,65.7,61.13,56.91,52.9,49.98,48.08,47.1 | +| bar | 22.06,22.42,22.32,21.87,21.01,19.74,18.24,17.13,16.35,15.47,14.94 | +| arcade machine | 70.71,64.88,61.23,56.64,51.52,46.47,41.93,37.15,33.91,30.99,28.4 | +| hovel | 20.59,14.88,13.69,13.11,12.76,12.15,11.48,10.81,10.37,10.04,9.44 | +| bus | 75.16,80.49,80.84,79.61,78.15,74.45,70.57,67.54,65.26,63.77,63.15 | +| towel | 59.21,62.48,61.5,58.94,55.99,51.12,47.09,42.5,37.49,32.86,30.0 | +| light | 49.72,52.06,52.6,51.37,49.3,46.44,42.52,38.51,35.06,31.38,28.53 | +| truck | 15.74,19.16,19.25,18.16,18.06,16.81,15.5,13.44,11.51,10.49,9.68 | +| tower | 8.4,9.96,9.46,8.8,7.83,6.9,5.92,5.02,3.86,3.1,2.77 | +| chandelier | 62.84,63.39,61.57,59.35,56.38,51.85,46.74,41.45,36.46,32.46,29.85 | +| awning | 23.02,22.51,21.18,18.96,16.57,13.71,10.79,8.01,6.07,5.15,4.98 | +| streetlight | 22.66,23.39,23.72,23.22,21.61,18.92,16.3,13.84,12.01,10.28,9.3 | +| booth | 42.77,41.39,40.61,38.47,35.61,34.27,33.18,31.84,30.78,29.55,28.78 | +| television receiver | 63.45,64.16,63.59,60.98,58.2,55.29,51.49,47.52,43.96,41.05,38.51 | +| airplane | 55.96,57.04,57.17,54.23,49.99,45.86,40.18,35.91,33.08,30.68,29.8 | +| dirt track | 17.18,19.38,20.24,19.95,19.59,18.84,18.59,18.26,17.87,17.8,17.81 | +| apparel | 30.28,33.65,31.8,30.34,27.06,24.22,22.02,20.37,18.33,16.75,16.01 | +| pole | 16.16,13.96,16.41,15.89,14.84,12.65,10.37,8.63,7.32,5.92,4.89 | +| land | 2.76,3.69,3.98,4.3,5.28,5.74,6.04,6.52,6.63,6.72,6.82 | +| bannister | 10.44,9.66,7.88,7.16,6.77,5.97,5.17,4.88,4.7,4.12,3.42 | +| escalator | 22.72,22.54,21.74,20.97,20.05,19.41,18.9,18.39,17.7,16.7,15.76 | +| ottoman | 43.71,43.25,42.12,41.24,39.85,38.3,35.81,32.94,30.54,28.58,26.84 | +| bottle | 30.64,32.97,33.29,32.29,30.14,28.15,25.87,23.8,22.79,21.74,21.23 | +| buffet | 38.86,45.8,44.88,43.21,41.36,39.1,36.27,33.77,31.74,30.49,29.74 | +| poster | 22.7,25.69,26.87,27.55,27.54,27.1,27.58,27.19,27.08,26.89,25.97 | +| stage | 14.08,11.69,11.75,11.45,10.77,10.11,9.89,9.83,9.65,9.38,9.15 | +| van | 39.48,40.88,39.68,37.94,36.13,33.76,31.79,29.37,27.39,26.05,25.45 | +| ship | 78.94,81.67,82.13,83.19,83.09,81.88,81.13,80.79,80.27,79.43,78.85 | +| fountain | 12.87,16.92,15.3,12.67,11.13,9.44,7.75,6.53,5.81,5.69,5.71 | +| conveyer belt | 82.55,85.17,83.71,81.32,78.53,75.64,72.73,70.13,68.37,66.6,65.28 | +| canopy | 19.78,24.34,23.97,22.07,19.23,16.77,14.5,13.05,11.66,10.5,9.82 | +| washer | 76.33,71.14,70.55,67.79,64.3,60.59,58.01,56.51,56.29,56.42,56.19 | +| plaything | 19.45,20.63,20.17,20.52,19.33,17.48,15.17,12.96,10.82,9.43,8.44 | +| swimming pool | 71.04,75.47,75.62,77.02,76.61,75.15,71.28,68.04,64.57,60.93,57.6 | +| stool | 40.59,38.12,37.34,36.19,34.01,30.12,26.27,20.59,16.37,14.25,13.42 | +| barrel | 43.04,45.05,34.62,28.57,20.87,22.9,23.81,24.95,26.28,27.07,27.3 | +| basket | 23.16,24.59,25.44,24.64,23.66,22.75,20.97,18.54,16.04,13.86,12.45 | +| waterfall | 46.28,43.7,43.82,43.14,41.5,39.58,37.66,36.74,36.35,35.91,35.31 | +| tent | 92.92,94.78,94.59,90.81,86.04,81.21,76.38,71.77,66.86,62.1,58.1 | +| bag | 13.77,13.26,13.89,12.35,11.01,9.42,7.9,6.73,5.77,5.06,4.74 | +| minibike | 58.88,63.83,62.97,61.06,57.67,52.87,46.12,40.42,35.81,31.93,29.95 | +| cradle | 81.12,82.03,81.47,76.25,70.29,64.62,59.86,55.13,51.47,48.94,46.93 | +| oven | 48.69,40.34,41.09,40.8,40.7,39.94,38.18,37.74,36.96,35.02,34.05 | +| ball | 41.83,40.14,38.17,35.07,32.67,30.44,28.7,27.4,26.35,25.21,24.84 | +| food | 49.16,57.36,56.87,54.66,50.84,46.52,42.59,38.95,36.27,34.03,32.32 | +| step | 7.33,4.71,2.89,2.67,3.37,3.16,2.75,1.98,1.47,1.18,1.12 | +| tank | 53.9,54.77,53.54,50.73,48.47,46.22,44.35,42.5,40.95,40.05,39.01 | +| trade name | 23.67,27.93,27.53,25.9,23.3,19.66,15.28,11.68,9.48,7.24,6.44 | +| microwave | 77.41,67.53,66.98,65.62,64.8,63.47,61.69,60.08,58.29,56.53,55.9 | +| pot | 30.96,28.8,28.56,27.79,25.42,22.57,19.21,15.95,13.39,11.72,10.68 | +| animal | 54.43,50.16,47.64,46.16,44.3,42.25,40.02,37.84,35.33,33.24,32.03 | +| bicycle | 48.87,48.21,47.92,43.36,39.21,34.18,29.21,25.92,23.12,21.23,20.22 | +| lake | 56.24,56.49,56.64,56.66,56.58,56.25,55.91,55.86,55.69,55.45,55.41 | +| dishwasher | 67.64,67.16,66.91,66.01,63.0,58.55,54.54,50.95,47.46,44.86,43.25 | +| screen | 68.41,73.53,73.71,72.3,71.36,70.32,68.71,67.87,66.71,66.26,66.33 | +| blanket | 14.13,14.36,13.8,12.88,11.56,10.16,8.97,7.74,7.34,7.22,7.0 | +| sculpture | 59.16,62.4,60.49,55.03,49.19,43.65,39.64,36.77,35.23,33.94,33.12 | +| hood | 57.66,58.13,58.6,57.71,55.02,51.54,47.99,43.47,39.96,36.42,33.86 | +| sconce | 36.9,39.72,38.53,36.42,33.75,30.59,27.15,22.6,19.24,17.4,16.19 | +| vase | 34.31,34.99,34.03,32.54,30.93,28.29,26.46,24.15,21.55,18.74,16.1 | +| traffic light | 29.28,31.04,31.73,29.42,26.18,22.98,20.32,18.07,15.43,13.69,12.93 | +| tray | 4.3,3.87,5.07,5.72,6.0,6.41,6.26,5.31,4.44,3.35,2.99 | +| ashcan | 39.69,41.94,43.25,40.98,37.7,33.81,29.28,25.79,22.88,20.55,18.68 | +| fan | 51.43,55.31,57.71,57.42,54.34,50.1,45.82,39.84,34.14,30.5,28.22 | +| pier | 44.45,51.66,50.94,50.27,47.65,44.87,42.72,39.99,37.83,36.37,35.66 | +| crt screen | 10.08,11.52,12.06,12.55,12.88,12.42,11.59,10.94,10.35,9.71,9.14 | +| plate | 45.37,49.97,50.0,47.78,45.13,41.48,37.0,32.7,28.02,24.22,22.42 | +| monitor | 22.3,9.84,9.6,8.86,8.56,7.97,7.51,6.95,6.6,6.21,5.85 | +| bulletin board | 37.76,37.01,35.55,33.17,28.41,24.93,21.86,19.28,16.94,14.68,13.36 | +| shower | 0.64,0.06,0.36,0.0,0.0,0.01,0.14,0.17,0.19,0.23,0.23 | +| radiator | 55.15,57.41,55.96,49.92,43.09,33.96,26.92,21.51,18.23,16.57,15.04 | +| glass | 10.08,12.12,13.23,13.43,12.71,11.6,10.03,8.52,6.86,5.86,5.44 | +| clock | 28.85,27.25,30.05,26.24,22.36,19.01,15.52,13.48,11.23,9.29,8.85 | +| flag | 31.42,28.35,28.3,26.77,24.56,23.56,21.72,20.09,18.2,16.02,14.53 | ++---------------------+-------------------------------------------------------------------+ +2023-03-04 05:01:07,923 - mmseg - INFO - Summary: +2023-03-04 05:01:07,924 - mmseg - INFO - ++-----------------------------------------------------------------+ +| mIoU 0,10,20,30,40,50,60,70,80,90,99 | ++-----------------------------------------------------------------+ +| 46.99,47.25,46.66,45.04,42.7,39.98,37.18,34.6,32.45,30.74,29.65 | ++-----------------------------------------------------------------+ +2023-03-04 05:01:07,924 - mmseg - INFO - Exp name: ablation_segformer_mit_b2_segformer_head_unet_fc_small_multi_step_ade_pretrained_freeze_embed_160k_ade20k151_finetune_ema_wgt.py +2023-03-04 05:01:07,924 - mmseg - INFO - Iter(val) [250] mIoU: [0.4699, 0.4725, 0.4666, 0.4504, 0.427, 0.3998, 0.3718, 0.346, 0.3245, 0.3074, 0.2965], copy_paste: 46.99,47.25,46.66,45.04,42.7,39.98,37.18,34.6,32.45,30.74,29.65 +2023-03-04 05:01:07,933 - mmseg - INFO - Swap parameters (before train) before iter [64001] +2023-03-04 05:01:16,325 - mmseg - INFO - Iter [64050/160000] lr: 1.875e-05, eta: 5:43:25, time: 13.025, data_time: 12.866, memory: 52541, decode.loss_ce: 0.0465, decode.acc_seg: 98.0189, loss: 0.0465 +2023-03-04 05:01:24,797 - mmseg - INFO - Iter [64100/160000] lr: 1.875e-05, eta: 5:43:10, time: 0.169, data_time: 0.007, memory: 52541, decode.loss_ce: 0.0450, decode.acc_seg: 98.0471, loss: 0.0450 +2023-03-04 05:01:33,379 - mmseg - INFO - Iter [64150/160000] lr: 1.875e-05, eta: 5:42:56, time: 0.172, data_time: 0.007, memory: 52541, decode.loss_ce: 0.0432, decode.acc_seg: 98.1325, loss: 0.0432 +2023-03-04 05:01:41,487 - mmseg - INFO - Iter [64200/160000] lr: 1.875e-05, eta: 5:42:42, time: 0.162, data_time: 0.008, memory: 52541, decode.loss_ce: 0.0437, decode.acc_seg: 98.1227, loss: 0.0437 +2023-03-04 05:01:49,819 - mmseg - INFO - Iter [64250/160000] lr: 1.875e-05, eta: 5:42:27, time: 0.167, data_time: 0.007, memory: 52541, decode.loss_ce: 0.0460, decode.acc_seg: 98.0139, loss: 0.0460 +2023-03-04 05:01:58,303 - mmseg - INFO - Iter [64300/160000] lr: 1.875e-05, eta: 5:42:13, time: 0.169, data_time: 0.008, memory: 52541, decode.loss_ce: 0.0463, decode.acc_seg: 98.0274, loss: 0.0463 +2023-03-04 05:02:06,489 - mmseg - INFO - Iter [64350/160000] lr: 1.875e-05, eta: 5:41:59, time: 0.164, data_time: 0.008, memory: 52541, decode.loss_ce: 0.0429, decode.acc_seg: 98.0922, loss: 0.0429 +2023-03-04 05:02:17,393 - mmseg - INFO - Iter [64400/160000] lr: 1.875e-05, eta: 5:41:48, time: 0.218, data_time: 0.056, memory: 52541, decode.loss_ce: 0.0456, decode.acc_seg: 98.0167, loss: 0.0456 +2023-03-04 05:02:25,740 - mmseg - INFO - Iter [64450/160000] lr: 1.875e-05, eta: 5:41:34, time: 0.167, data_time: 0.007, memory: 52541, decode.loss_ce: 0.0444, decode.acc_seg: 98.0582, loss: 0.0444 +2023-03-04 05:02:34,100 - mmseg - INFO - Iter [64500/160000] lr: 1.875e-05, eta: 5:41:20, time: 0.168, data_time: 0.007, memory: 52541, decode.loss_ce: 0.0449, decode.acc_seg: 98.0686, loss: 0.0449 +2023-03-04 05:02:43,020 - mmseg - INFO - Iter [64550/160000] lr: 1.875e-05, eta: 5:41:07, time: 0.178, data_time: 0.008, memory: 52541, decode.loss_ce: 0.0429, decode.acc_seg: 98.1194, loss: 0.0429 +2023-03-04 05:02:51,800 - mmseg - INFO - Iter [64600/160000] lr: 1.875e-05, eta: 5:40:53, time: 0.176, data_time: 0.008, memory: 52541, decode.loss_ce: 0.0457, decode.acc_seg: 98.0146, loss: 0.0457 +2023-03-04 05:03:00,370 - mmseg - INFO - Iter [64650/160000] lr: 1.875e-05, eta: 5:40:39, time: 0.171, data_time: 0.007, memory: 52541, decode.loss_ce: 0.0468, decode.acc_seg: 98.0637, loss: 0.0468 +2023-03-04 05:03:08,496 - mmseg - INFO - Iter [64700/160000] lr: 1.875e-05, eta: 5:40:25, time: 0.163, data_time: 0.008, memory: 52541, decode.loss_ce: 0.0426, decode.acc_seg: 98.1477, loss: 0.0426 +2023-03-04 05:03:16,542 - mmseg - INFO - Iter [64750/160000] lr: 1.875e-05, eta: 5:40:10, time: 0.161, data_time: 0.008, memory: 52541, decode.loss_ce: 0.0473, decode.acc_seg: 97.9419, loss: 0.0473 +2023-03-04 05:03:24,904 - mmseg - INFO - Iter [64800/160000] lr: 1.875e-05, eta: 5:39:56, time: 0.167, data_time: 0.007, memory: 52541, decode.loss_ce: 0.0474, decode.acc_seg: 97.9836, loss: 0.0474 +2023-03-04 05:03:33,267 - mmseg - INFO - Iter [64850/160000] lr: 1.875e-05, eta: 5:39:42, time: 0.167, data_time: 0.007, memory: 52541, decode.loss_ce: 0.0467, decode.acc_seg: 98.0238, loss: 0.0467 +2023-03-04 05:03:41,703 - mmseg - INFO - Iter [64900/160000] lr: 1.875e-05, eta: 5:39:28, time: 0.169, data_time: 0.008, memory: 52541, decode.loss_ce: 0.0449, decode.acc_seg: 98.0820, loss: 0.0449 +2023-03-04 05:03:50,312 - mmseg - INFO - Iter [64950/160000] lr: 1.875e-05, eta: 5:39:14, time: 0.172, data_time: 0.007, memory: 52541, decode.loss_ce: 0.0462, decode.acc_seg: 97.9930, loss: 0.0462 +2023-03-04 05:04:00,860 - mmseg - INFO - Exp name: ablation_segformer_mit_b2_segformer_head_unet_fc_small_multi_step_ade_pretrained_freeze_embed_160k_ade20k151_finetune_ema_wgt.py +2023-03-04 05:04:00,860 - mmseg - INFO - Iter [65000/160000] lr: 1.875e-05, eta: 5:39:03, time: 0.211, data_time: 0.055, memory: 52541, decode.loss_ce: 0.0435, decode.acc_seg: 98.0913, loss: 0.0435 +2023-03-04 05:04:09,099 - mmseg - INFO - Iter [65050/160000] lr: 1.875e-05, eta: 5:38:48, time: 0.165, data_time: 0.008, memory: 52541, decode.loss_ce: 0.0447, decode.acc_seg: 98.0189, loss: 0.0447 +2023-03-04 05:04:17,458 - mmseg - INFO - Iter [65100/160000] lr: 1.875e-05, eta: 5:38:34, time: 0.167, data_time: 0.007, memory: 52541, decode.loss_ce: 0.0472, decode.acc_seg: 97.9997, loss: 0.0472 +2023-03-04 05:04:25,763 - mmseg - INFO - Iter [65150/160000] lr: 1.875e-05, eta: 5:38:20, time: 0.166, data_time: 0.008, memory: 52541, decode.loss_ce: 0.0463, decode.acc_seg: 97.9964, loss: 0.0463 +2023-03-04 05:04:34,491 - mmseg - INFO - Iter [65200/160000] lr: 1.875e-05, eta: 5:38:07, time: 0.174, data_time: 0.007, memory: 52541, decode.loss_ce: 0.0445, decode.acc_seg: 98.0467, loss: 0.0445 +2023-03-04 05:04:42,706 - mmseg - INFO - Iter [65250/160000] lr: 1.875e-05, eta: 5:37:52, time: 0.165, data_time: 0.008, memory: 52541, decode.loss_ce: 0.0447, decode.acc_seg: 98.0527, loss: 0.0447 +2023-03-04 05:04:50,800 - mmseg - INFO - Iter [65300/160000] lr: 1.875e-05, eta: 5:37:38, time: 0.162, data_time: 0.008, memory: 52541, decode.loss_ce: 0.0421, decode.acc_seg: 98.1366, loss: 0.0421 +2023-03-04 05:04:59,715 - mmseg - INFO - Iter [65350/160000] lr: 1.875e-05, eta: 5:37:25, time: 0.178, data_time: 0.008, memory: 52541, decode.loss_ce: 0.0435, decode.acc_seg: 98.1100, loss: 0.0435 +2023-03-04 05:05:08,035 - mmseg - INFO - Iter [65400/160000] lr: 1.875e-05, eta: 5:37:10, time: 0.167, data_time: 0.007, memory: 52541, decode.loss_ce: 0.0408, decode.acc_seg: 98.2316, loss: 0.0408 +2023-03-04 05:05:16,428 - mmseg - INFO - Iter [65450/160000] lr: 1.875e-05, eta: 5:36:56, time: 0.168, data_time: 0.007, memory: 52541, decode.loss_ce: 0.0433, decode.acc_seg: 98.1274, loss: 0.0433 +2023-03-04 05:05:25,030 - mmseg - INFO - Iter [65500/160000] lr: 1.875e-05, eta: 5:36:43, time: 0.172, data_time: 0.008, memory: 52541, decode.loss_ce: 0.0391, decode.acc_seg: 98.2664, loss: 0.0391 +2023-03-04 05:05:33,782 - mmseg - INFO - Iter [65550/160000] lr: 1.875e-05, eta: 5:36:29, time: 0.175, data_time: 0.007, memory: 52541, decode.loss_ce: 0.0425, decode.acc_seg: 98.1361, loss: 0.0425 +2023-03-04 05:05:42,352 - mmseg - INFO - Iter [65600/160000] lr: 1.875e-05, eta: 5:36:15, time: 0.172, data_time: 0.008, memory: 52541, decode.loss_ce: 0.0437, decode.acc_seg: 98.1328, loss: 0.0437 +2023-03-04 05:05:53,130 - mmseg - INFO - Iter [65650/160000] lr: 1.875e-05, eta: 5:36:05, time: 0.215, data_time: 0.056, memory: 52541, decode.loss_ce: 0.0456, decode.acc_seg: 98.0643, loss: 0.0456 +2023-03-04 05:06:01,375 - mmseg - INFO - Iter [65700/160000] lr: 1.875e-05, eta: 5:35:51, time: 0.165, data_time: 0.007, memory: 52541, decode.loss_ce: 0.0435, decode.acc_seg: 98.0703, loss: 0.0435 +2023-03-04 05:06:09,468 - mmseg - INFO - Iter [65750/160000] lr: 1.875e-05, eta: 5:35:36, time: 0.162, data_time: 0.007, memory: 52541, decode.loss_ce: 0.0439, decode.acc_seg: 98.0787, loss: 0.0439 +2023-03-04 05:06:18,221 - mmseg - INFO - Iter [65800/160000] lr: 1.875e-05, eta: 5:35:23, time: 0.175, data_time: 0.008, memory: 52541, decode.loss_ce: 0.0463, decode.acc_seg: 98.0096, loss: 0.0463 +2023-03-04 05:06:26,279 - mmseg - INFO - Iter [65850/160000] lr: 1.875e-05, eta: 5:35:08, time: 0.161, data_time: 0.007, memory: 52541, decode.loss_ce: 0.0437, decode.acc_seg: 98.1050, loss: 0.0437 +2023-03-04 05:06:34,643 - mmseg - INFO - Iter [65900/160000] lr: 1.875e-05, eta: 5:34:54, time: 0.167, data_time: 0.008, memory: 52541, decode.loss_ce: 0.0454, decode.acc_seg: 98.0281, loss: 0.0454 +2023-03-04 05:06:42,751 - mmseg - INFO - Iter [65950/160000] lr: 1.875e-05, eta: 5:34:40, time: 0.162, data_time: 0.008, memory: 52541, decode.loss_ce: 0.0452, decode.acc_seg: 98.0834, loss: 0.0452 +2023-03-04 05:06:51,126 - mmseg - INFO - Exp name: ablation_segformer_mit_b2_segformer_head_unet_fc_small_multi_step_ade_pretrained_freeze_embed_160k_ade20k151_finetune_ema_wgt.py +2023-03-04 05:06:51,127 - mmseg - INFO - Iter [66000/160000] lr: 1.875e-05, eta: 5:34:26, time: 0.168, data_time: 0.007, memory: 52541, decode.loss_ce: 0.0447, decode.acc_seg: 98.1026, loss: 0.0447 +2023-03-04 05:06:59,119 - mmseg - INFO - Iter [66050/160000] lr: 1.875e-05, eta: 5:34:12, time: 0.160, data_time: 0.007, memory: 52541, decode.loss_ce: 0.0451, decode.acc_seg: 98.0583, loss: 0.0451 +2023-03-04 05:07:07,291 - mmseg - INFO - Iter [66100/160000] lr: 1.875e-05, eta: 5:33:57, time: 0.163, data_time: 0.007, memory: 52541, decode.loss_ce: 0.0450, decode.acc_seg: 98.0342, loss: 0.0450 +2023-03-04 05:07:15,830 - mmseg - INFO - Iter [66150/160000] lr: 1.875e-05, eta: 5:33:44, time: 0.171, data_time: 0.008, memory: 52541, decode.loss_ce: 0.0475, decode.acc_seg: 98.0025, loss: 0.0475 +2023-03-04 05:07:24,029 - mmseg - INFO - Iter [66200/160000] lr: 1.875e-05, eta: 5:33:30, time: 0.164, data_time: 0.008, memory: 52541, decode.loss_ce: 0.0418, decode.acc_seg: 98.1720, loss: 0.0418 +2023-03-04 05:07:32,608 - mmseg - INFO - Iter [66250/160000] lr: 1.875e-05, eta: 5:33:16, time: 0.172, data_time: 0.007, memory: 52541, decode.loss_ce: 0.0438, decode.acc_seg: 98.0930, loss: 0.0438 +2023-03-04 05:07:43,475 - mmseg - INFO - Iter [66300/160000] lr: 1.875e-05, eta: 5:33:06, time: 0.217, data_time: 0.052, memory: 52541, decode.loss_ce: 0.0439, decode.acc_seg: 98.0783, loss: 0.0439 +2023-03-04 05:07:51,747 - mmseg - INFO - Iter [66350/160000] lr: 1.875e-05, eta: 5:32:52, time: 0.165, data_time: 0.007, memory: 52541, decode.loss_ce: 0.0432, decode.acc_seg: 98.1326, loss: 0.0432 +2023-03-04 05:07:59,967 - mmseg - INFO - Iter [66400/160000] lr: 1.875e-05, eta: 5:32:37, time: 0.164, data_time: 0.008, memory: 52541, decode.loss_ce: 0.0420, decode.acc_seg: 98.1456, loss: 0.0420 +2023-03-04 05:08:08,503 - mmseg - INFO - Iter [66450/160000] lr: 1.875e-05, eta: 5:32:24, time: 0.171, data_time: 0.009, memory: 52541, decode.loss_ce: 0.0430, decode.acc_seg: 98.1293, loss: 0.0430 +2023-03-04 05:08:16,564 - mmseg - INFO - Iter [66500/160000] lr: 1.875e-05, eta: 5:32:09, time: 0.161, data_time: 0.008, memory: 52541, decode.loss_ce: 0.0446, decode.acc_seg: 98.0941, loss: 0.0446 +2023-03-04 05:08:24,662 - mmseg - INFO - Iter [66550/160000] lr: 1.875e-05, eta: 5:31:55, time: 0.162, data_time: 0.008, memory: 52541, decode.loss_ce: 0.0419, decode.acc_seg: 98.2071, loss: 0.0419 +2023-03-04 05:08:32,803 - mmseg - INFO - Iter [66600/160000] lr: 1.875e-05, eta: 5:31:41, time: 0.163, data_time: 0.007, memory: 52541, decode.loss_ce: 0.0429, decode.acc_seg: 98.1236, loss: 0.0429 +2023-03-04 05:08:41,278 - mmseg - INFO - Iter [66650/160000] lr: 1.875e-05, eta: 5:31:27, time: 0.169, data_time: 0.007, memory: 52541, decode.loss_ce: 0.0433, decode.acc_seg: 98.1126, loss: 0.0433 +2023-03-04 05:08:50,122 - mmseg - INFO - Iter [66700/160000] lr: 1.875e-05, eta: 5:31:14, time: 0.177, data_time: 0.007, memory: 52541, decode.loss_ce: 0.0422, decode.acc_seg: 98.1544, loss: 0.0422 +2023-03-04 05:08:58,531 - mmseg - INFO - Iter [66750/160000] lr: 1.875e-05, eta: 5:31:00, time: 0.168, data_time: 0.008, memory: 52541, decode.loss_ce: 0.0461, decode.acc_seg: 98.0366, loss: 0.0461 +2023-03-04 05:09:06,869 - mmseg - INFO - Iter [66800/160000] lr: 1.875e-05, eta: 5:30:46, time: 0.167, data_time: 0.007, memory: 52541, decode.loss_ce: 0.0436, decode.acc_seg: 98.1264, loss: 0.0436 +2023-03-04 05:09:15,039 - mmseg - INFO - Iter [66850/160000] lr: 1.875e-05, eta: 5:30:32, time: 0.164, data_time: 0.008, memory: 52541, decode.loss_ce: 0.0433, decode.acc_seg: 98.1498, loss: 0.0433 +2023-03-04 05:09:26,032 - mmseg - INFO - Iter [66900/160000] lr: 1.875e-05, eta: 5:30:22, time: 0.220, data_time: 0.053, memory: 52541, decode.loss_ce: 0.0463, decode.acc_seg: 98.0244, loss: 0.0463 +2023-03-04 05:09:34,487 - mmseg - INFO - Iter [66950/160000] lr: 1.875e-05, eta: 5:30:09, time: 0.169, data_time: 0.007, memory: 52541, decode.loss_ce: 0.0442, decode.acc_seg: 98.0696, loss: 0.0442 +2023-03-04 05:09:42,973 - mmseg - INFO - Exp name: ablation_segformer_mit_b2_segformer_head_unet_fc_small_multi_step_ade_pretrained_freeze_embed_160k_ade20k151_finetune_ema_wgt.py +2023-03-04 05:09:42,973 - mmseg - INFO - Iter [67000/160000] lr: 1.875e-05, eta: 5:29:55, time: 0.170, data_time: 0.007, memory: 52541, decode.loss_ce: 0.0452, decode.acc_seg: 98.0743, loss: 0.0452 +2023-03-04 05:09:51,256 - mmseg - INFO - Iter [67050/160000] lr: 1.875e-05, eta: 5:29:41, time: 0.166, data_time: 0.008, memory: 52541, decode.loss_ce: 0.0457, decode.acc_seg: 98.0177, loss: 0.0457 +2023-03-04 05:09:59,510 - mmseg - INFO - Iter [67100/160000] lr: 1.875e-05, eta: 5:29:27, time: 0.165, data_time: 0.007, memory: 52541, decode.loss_ce: 0.0442, decode.acc_seg: 98.0653, loss: 0.0442 +2023-03-04 05:10:08,211 - mmseg - INFO - Iter [67150/160000] lr: 1.875e-05, eta: 5:29:14, time: 0.174, data_time: 0.008, memory: 52541, decode.loss_ce: 0.0456, decode.acc_seg: 98.0363, loss: 0.0456 +2023-03-04 05:10:16,395 - mmseg - INFO - Iter [67200/160000] lr: 1.875e-05, eta: 5:29:00, time: 0.164, data_time: 0.008, memory: 52541, decode.loss_ce: 0.0446, decode.acc_seg: 98.1146, loss: 0.0446 +2023-03-04 05:10:24,533 - mmseg - INFO - Iter [67250/160000] lr: 1.875e-05, eta: 5:28:46, time: 0.162, data_time: 0.008, memory: 52541, decode.loss_ce: 0.0439, decode.acc_seg: 98.1106, loss: 0.0439 +2023-03-04 05:10:32,680 - mmseg - INFO - Iter [67300/160000] lr: 1.875e-05, eta: 5:28:32, time: 0.163, data_time: 0.008, memory: 52541, decode.loss_ce: 0.0433, decode.acc_seg: 98.1302, loss: 0.0433 +2023-03-04 05:10:40,850 - mmseg - INFO - Iter [67350/160000] lr: 1.875e-05, eta: 5:28:18, time: 0.164, data_time: 0.007, memory: 52541, decode.loss_ce: 0.0440, decode.acc_seg: 98.0829, loss: 0.0440 +2023-03-04 05:10:49,011 - mmseg - INFO - Iter [67400/160000] lr: 1.875e-05, eta: 5:28:03, time: 0.163, data_time: 0.008, memory: 52541, decode.loss_ce: 0.0458, decode.acc_seg: 98.0730, loss: 0.0458 +2023-03-04 05:10:57,530 - mmseg - INFO - Iter [67450/160000] lr: 1.875e-05, eta: 5:27:50, time: 0.170, data_time: 0.008, memory: 52541, decode.loss_ce: 0.0448, decode.acc_seg: 98.0670, loss: 0.0448 +2023-03-04 05:11:05,875 - mmseg - INFO - Iter [67500/160000] lr: 1.875e-05, eta: 5:27:36, time: 0.167, data_time: 0.008, memory: 52541, decode.loss_ce: 0.0429, decode.acc_seg: 98.1396, loss: 0.0429 +2023-03-04 05:11:16,925 - mmseg - INFO - Iter [67550/160000] lr: 1.875e-05, eta: 5:27:26, time: 0.221, data_time: 0.055, memory: 52541, decode.loss_ce: 0.0435, decode.acc_seg: 98.1275, loss: 0.0435 +2023-03-04 05:11:25,087 - mmseg - INFO - Iter [67600/160000] lr: 1.875e-05, eta: 5:27:12, time: 0.163, data_time: 0.007, memory: 52541, decode.loss_ce: 0.0441, decode.acc_seg: 98.1004, loss: 0.0441 +2023-03-04 05:11:33,624 - mmseg - INFO - Iter [67650/160000] lr: 1.875e-05, eta: 5:26:59, time: 0.171, data_time: 0.007, memory: 52541, decode.loss_ce: 0.0464, decode.acc_seg: 98.0224, loss: 0.0464 +2023-03-04 05:11:42,035 - mmseg - INFO - Iter [67700/160000] lr: 1.875e-05, eta: 5:26:45, time: 0.169, data_time: 0.008, memory: 52541, decode.loss_ce: 0.0444, decode.acc_seg: 98.0823, loss: 0.0444 +2023-03-04 05:11:50,444 - mmseg - INFO - Iter [67750/160000] lr: 1.875e-05, eta: 5:26:31, time: 0.168, data_time: 0.007, memory: 52541, decode.loss_ce: 0.0439, decode.acc_seg: 98.0931, loss: 0.0439 +2023-03-04 05:11:58,808 - mmseg - INFO - Iter [67800/160000] lr: 1.875e-05, eta: 5:26:18, time: 0.167, data_time: 0.008, memory: 52541, decode.loss_ce: 0.0475, decode.acc_seg: 97.9738, loss: 0.0475 +2023-03-04 05:12:07,004 - mmseg - INFO - Iter [67850/160000] lr: 1.875e-05, eta: 5:26:04, time: 0.164, data_time: 0.007, memory: 52541, decode.loss_ce: 0.0428, decode.acc_seg: 98.1578, loss: 0.0428 +2023-03-04 05:12:15,470 - mmseg - INFO - Iter [67900/160000] lr: 1.875e-05, eta: 5:25:50, time: 0.169, data_time: 0.008, memory: 52541, decode.loss_ce: 0.0441, decode.acc_seg: 98.1125, loss: 0.0441 +2023-03-04 05:12:23,682 - mmseg - INFO - Iter [67950/160000] lr: 1.875e-05, eta: 5:25:36, time: 0.164, data_time: 0.008, memory: 52541, decode.loss_ce: 0.0476, decode.acc_seg: 97.9911, loss: 0.0476 +2023-03-04 05:12:32,009 - mmseg - INFO - Exp name: ablation_segformer_mit_b2_segformer_head_unet_fc_small_multi_step_ade_pretrained_freeze_embed_160k_ade20k151_finetune_ema_wgt.py +2023-03-04 05:12:32,009 - mmseg - INFO - Iter [68000/160000] lr: 1.875e-05, eta: 5:25:23, time: 0.167, data_time: 0.008, memory: 52541, decode.loss_ce: 0.0435, decode.acc_seg: 98.1223, loss: 0.0435 +2023-03-04 05:12:40,221 - mmseg - INFO - Iter [68050/160000] lr: 1.875e-05, eta: 5:25:09, time: 0.164, data_time: 0.008, memory: 52541, decode.loss_ce: 0.0466, decode.acc_seg: 98.0500, loss: 0.0466 +2023-03-04 05:12:48,347 - mmseg - INFO - Iter [68100/160000] lr: 1.875e-05, eta: 5:24:55, time: 0.163, data_time: 0.008, memory: 52541, decode.loss_ce: 0.0443, decode.acc_seg: 98.0696, loss: 0.0443 +2023-03-04 05:12:59,007 - mmseg - INFO - Iter [68150/160000] lr: 1.875e-05, eta: 5:24:44, time: 0.213, data_time: 0.055, memory: 52541, decode.loss_ce: 0.0445, decode.acc_seg: 98.1035, loss: 0.0445 +2023-03-04 05:13:07,600 - mmseg - INFO - Iter [68200/160000] lr: 1.875e-05, eta: 5:24:31, time: 0.172, data_time: 0.008, memory: 52541, decode.loss_ce: 0.0448, decode.acc_seg: 98.0820, loss: 0.0448 +2023-03-04 05:13:16,019 - mmseg - INFO - Iter [68250/160000] lr: 1.875e-05, eta: 5:24:18, time: 0.169, data_time: 0.008, memory: 52541, decode.loss_ce: 0.0457, decode.acc_seg: 98.0365, loss: 0.0457 +2023-03-04 05:13:24,359 - mmseg - INFO - Iter [68300/160000] lr: 1.875e-05, eta: 5:24:04, time: 0.167, data_time: 0.008, memory: 52541, decode.loss_ce: 0.0436, decode.acc_seg: 98.0867, loss: 0.0436 +2023-03-04 05:13:32,899 - mmseg - INFO - Iter [68350/160000] lr: 1.875e-05, eta: 5:23:50, time: 0.170, data_time: 0.007, memory: 52541, decode.loss_ce: 0.0441, decode.acc_seg: 98.1106, loss: 0.0441 +2023-03-04 05:13:41,171 - mmseg - INFO - Iter [68400/160000] lr: 1.875e-05, eta: 5:23:37, time: 0.166, data_time: 0.008, memory: 52541, decode.loss_ce: 0.0425, decode.acc_seg: 98.1639, loss: 0.0425 +2023-03-04 05:13:49,553 - mmseg - INFO - Iter [68450/160000] lr: 1.875e-05, eta: 5:23:23, time: 0.168, data_time: 0.007, memory: 52541, decode.loss_ce: 0.0426, decode.acc_seg: 98.1222, loss: 0.0426 +2023-03-04 05:13:57,946 - mmseg - INFO - Iter [68500/160000] lr: 1.875e-05, eta: 5:23:10, time: 0.168, data_time: 0.007, memory: 52541, decode.loss_ce: 0.0473, decode.acc_seg: 97.9987, loss: 0.0473 +2023-03-04 05:14:06,383 - mmseg - INFO - Iter [68550/160000] lr: 1.875e-05, eta: 5:22:56, time: 0.168, data_time: 0.007, memory: 52541, decode.loss_ce: 0.0475, decode.acc_seg: 97.9922, loss: 0.0475 +2023-03-04 05:14:14,720 - mmseg - INFO - Iter [68600/160000] lr: 1.875e-05, eta: 5:22:43, time: 0.167, data_time: 0.008, memory: 52541, decode.loss_ce: 0.0439, decode.acc_seg: 98.0769, loss: 0.0439 +2023-03-04 05:14:23,079 - mmseg - INFO - Iter [68650/160000] lr: 1.875e-05, eta: 5:22:29, time: 0.167, data_time: 0.008, memory: 52541, decode.loss_ce: 0.0458, decode.acc_seg: 98.0259, loss: 0.0458 +2023-03-04 05:14:31,431 - mmseg - INFO - Iter [68700/160000] lr: 1.875e-05, eta: 5:22:15, time: 0.167, data_time: 0.008, memory: 52541, decode.loss_ce: 0.0461, decode.acc_seg: 97.9987, loss: 0.0461 +2023-03-04 05:14:39,597 - mmseg - INFO - Iter [68750/160000] lr: 1.875e-05, eta: 5:22:02, time: 0.163, data_time: 0.008, memory: 52541, decode.loss_ce: 0.0476, decode.acc_seg: 98.0108, loss: 0.0476 +2023-03-04 05:14:50,294 - mmseg - INFO - Iter [68800/160000] lr: 1.875e-05, eta: 5:21:51, time: 0.214, data_time: 0.057, memory: 52541, decode.loss_ce: 0.0437, decode.acc_seg: 98.1041, loss: 0.0437 +2023-03-04 05:14:58,770 - mmseg - INFO - Iter [68850/160000] lr: 1.875e-05, eta: 5:21:38, time: 0.170, data_time: 0.007, memory: 52541, decode.loss_ce: 0.0449, decode.acc_seg: 98.0768, loss: 0.0449 +2023-03-04 05:15:07,507 - mmseg - INFO - Iter [68900/160000] lr: 1.875e-05, eta: 5:21:25, time: 0.174, data_time: 0.007, memory: 52541, decode.loss_ce: 0.0431, decode.acc_seg: 98.1369, loss: 0.0431 +2023-03-04 05:15:15,766 - mmseg - INFO - Iter [68950/160000] lr: 1.875e-05, eta: 5:21:11, time: 0.165, data_time: 0.008, memory: 52541, decode.loss_ce: 0.0428, decode.acc_seg: 98.1331, loss: 0.0428 +2023-03-04 05:15:24,117 - mmseg - INFO - Exp name: ablation_segformer_mit_b2_segformer_head_unet_fc_small_multi_step_ade_pretrained_freeze_embed_160k_ade20k151_finetune_ema_wgt.py +2023-03-04 05:15:24,117 - mmseg - INFO - Iter [69000/160000] lr: 1.875e-05, eta: 5:20:58, time: 0.167, data_time: 0.007, memory: 52541, decode.loss_ce: 0.0455, decode.acc_seg: 98.0390, loss: 0.0455 +2023-03-04 05:15:32,498 - mmseg - INFO - Iter [69050/160000] lr: 1.875e-05, eta: 5:20:44, time: 0.167, data_time: 0.008, memory: 52541, decode.loss_ce: 0.0453, decode.acc_seg: 98.0412, loss: 0.0453 +2023-03-04 05:15:41,109 - mmseg - INFO - Iter [69100/160000] lr: 1.875e-05, eta: 5:20:31, time: 0.172, data_time: 0.007, memory: 52541, decode.loss_ce: 0.0444, decode.acc_seg: 98.0919, loss: 0.0444 +2023-03-04 05:15:49,563 - mmseg - INFO - Iter [69150/160000] lr: 1.875e-05, eta: 5:20:18, time: 0.169, data_time: 0.007, memory: 52541, decode.loss_ce: 0.0424, decode.acc_seg: 98.1715, loss: 0.0424 +2023-03-04 05:15:58,232 - mmseg - INFO - Iter [69200/160000] lr: 1.875e-05, eta: 5:20:05, time: 0.173, data_time: 0.007, memory: 52541, decode.loss_ce: 0.0443, decode.acc_seg: 98.0902, loss: 0.0443 +2023-03-04 05:16:06,408 - mmseg - INFO - Iter [69250/160000] lr: 1.875e-05, eta: 5:19:51, time: 0.164, data_time: 0.008, memory: 52541, decode.loss_ce: 0.0442, decode.acc_seg: 98.0920, loss: 0.0442 +2023-03-04 05:16:15,289 - mmseg - INFO - Iter [69300/160000] lr: 1.875e-05, eta: 5:19:38, time: 0.178, data_time: 0.010, memory: 52541, decode.loss_ce: 0.0429, decode.acc_seg: 98.1292, loss: 0.0429 +2023-03-04 05:16:23,730 - mmseg - INFO - Iter [69350/160000] lr: 1.875e-05, eta: 5:19:25, time: 0.169, data_time: 0.007, memory: 52541, decode.loss_ce: 0.0419, decode.acc_seg: 98.1993, loss: 0.0419 +2023-03-04 05:16:32,237 - mmseg - INFO - Iter [69400/160000] lr: 1.875e-05, eta: 5:19:11, time: 0.170, data_time: 0.008, memory: 52541, decode.loss_ce: 0.0422, decode.acc_seg: 98.1286, loss: 0.0422 +2023-03-04 05:16:42,888 - mmseg - INFO - Iter [69450/160000] lr: 1.875e-05, eta: 5:19:01, time: 0.213, data_time: 0.055, memory: 52541, decode.loss_ce: 0.0425, decode.acc_seg: 98.1794, loss: 0.0425 +2023-03-04 05:16:51,650 - mmseg - INFO - Iter [69500/160000] lr: 1.875e-05, eta: 5:18:48, time: 0.175, data_time: 0.007, memory: 52541, decode.loss_ce: 0.0428, decode.acc_seg: 98.1175, loss: 0.0428 +2023-03-04 05:16:59,889 - mmseg - INFO - Iter [69550/160000] lr: 1.875e-05, eta: 5:18:34, time: 0.165, data_time: 0.008, memory: 52541, decode.loss_ce: 0.0414, decode.acc_seg: 98.1877, loss: 0.0414 +2023-03-04 05:17:07,915 - mmseg - INFO - Iter [69600/160000] lr: 1.875e-05, eta: 5:18:21, time: 0.161, data_time: 0.008, memory: 52541, decode.loss_ce: 0.0447, decode.acc_seg: 98.0399, loss: 0.0447 +2023-03-04 05:17:16,071 - mmseg - INFO - Iter [69650/160000] lr: 1.875e-05, eta: 5:18:07, time: 0.163, data_time: 0.008, memory: 52541, decode.loss_ce: 0.0433, decode.acc_seg: 98.1045, loss: 0.0433 +2023-03-04 05:17:24,757 - mmseg - INFO - Iter [69700/160000] lr: 1.875e-05, eta: 5:17:54, time: 0.174, data_time: 0.007, memory: 52541, decode.loss_ce: 0.0429, decode.acc_seg: 98.1325, loss: 0.0429 +2023-03-04 05:17:33,048 - mmseg - INFO - Iter [69750/160000] lr: 1.875e-05, eta: 5:17:40, time: 0.166, data_time: 0.007, memory: 52541, decode.loss_ce: 0.0424, decode.acc_seg: 98.1802, loss: 0.0424 +2023-03-04 05:17:41,701 - mmseg - INFO - Iter [69800/160000] lr: 1.875e-05, eta: 5:17:27, time: 0.173, data_time: 0.008, memory: 52541, decode.loss_ce: 0.0408, decode.acc_seg: 98.2113, loss: 0.0408 +2023-03-04 05:17:49,852 - mmseg - INFO - Iter [69850/160000] lr: 1.875e-05, eta: 5:17:14, time: 0.163, data_time: 0.007, memory: 52541, decode.loss_ce: 0.0433, decode.acc_seg: 98.0968, loss: 0.0433 +2023-03-04 05:17:58,407 - mmseg - INFO - Iter [69900/160000] lr: 1.875e-05, eta: 5:17:01, time: 0.171, data_time: 0.007, memory: 52541, decode.loss_ce: 0.0412, decode.acc_seg: 98.1740, loss: 0.0412 +2023-03-04 05:18:06,576 - mmseg - INFO - Iter [69950/160000] lr: 1.875e-05, eta: 5:16:47, time: 0.163, data_time: 0.008, memory: 52541, decode.loss_ce: 0.0424, decode.acc_seg: 98.1523, loss: 0.0424 +2023-03-04 05:18:15,020 - mmseg - INFO - Exp name: ablation_segformer_mit_b2_segformer_head_unet_fc_small_multi_step_ade_pretrained_freeze_embed_160k_ade20k151_finetune_ema_wgt.py +2023-03-04 05:18:15,021 - mmseg - INFO - Iter [70000/160000] lr: 1.875e-05, eta: 5:16:34, time: 0.169, data_time: 0.008, memory: 52541, decode.loss_ce: 0.0454, decode.acc_seg: 98.0708, loss: 0.0454 +2023-03-04 05:18:25,994 - mmseg - INFO - Iter [70050/160000] lr: 1.875e-05, eta: 5:16:24, time: 0.219, data_time: 0.057, memory: 52541, decode.loss_ce: 0.0436, decode.acc_seg: 98.1173, loss: 0.0436 +2023-03-04 05:18:34,059 - mmseg - INFO - Iter [70100/160000] lr: 1.875e-05, eta: 5:16:10, time: 0.161, data_time: 0.008, memory: 52541, decode.loss_ce: 0.0418, decode.acc_seg: 98.1586, loss: 0.0418 +2023-03-04 05:18:42,450 - mmseg - INFO - Iter [70150/160000] lr: 1.875e-05, eta: 5:15:57, time: 0.168, data_time: 0.008, memory: 52541, decode.loss_ce: 0.0454, decode.acc_seg: 98.0451, loss: 0.0454 +2023-03-04 05:18:50,891 - mmseg - INFO - Iter [70200/160000] lr: 1.875e-05, eta: 5:15:43, time: 0.169, data_time: 0.008, memory: 52541, decode.loss_ce: 0.0427, decode.acc_seg: 98.1701, loss: 0.0427 +2023-03-04 05:18:59,056 - mmseg - INFO - Iter [70250/160000] lr: 1.875e-05, eta: 5:15:30, time: 0.163, data_time: 0.007, memory: 52541, decode.loss_ce: 0.0413, decode.acc_seg: 98.1648, loss: 0.0413 +2023-03-04 05:19:07,354 - mmseg - INFO - Iter [70300/160000] lr: 1.875e-05, eta: 5:15:16, time: 0.166, data_time: 0.007, memory: 52541, decode.loss_ce: 0.0444, decode.acc_seg: 98.0785, loss: 0.0444 +2023-03-04 05:19:15,618 - mmseg - INFO - Iter [70350/160000] lr: 1.875e-05, eta: 5:15:03, time: 0.165, data_time: 0.008, memory: 52541, decode.loss_ce: 0.0454, decode.acc_seg: 98.0545, loss: 0.0454 +2023-03-04 05:19:24,405 - mmseg - INFO - Iter [70400/160000] lr: 1.875e-05, eta: 5:14:50, time: 0.176, data_time: 0.007, memory: 52541, decode.loss_ce: 0.0406, decode.acc_seg: 98.2119, loss: 0.0406 +2023-03-04 05:19:32,965 - mmseg - INFO - Iter [70450/160000] lr: 1.875e-05, eta: 5:14:37, time: 0.171, data_time: 0.008, memory: 52541, decode.loss_ce: 0.0441, decode.acc_seg: 98.0985, loss: 0.0441 +2023-03-04 05:19:41,241 - mmseg - INFO - Iter [70500/160000] lr: 1.875e-05, eta: 5:14:24, time: 0.166, data_time: 0.008, memory: 52541, decode.loss_ce: 0.0462, decode.acc_seg: 98.0077, loss: 0.0462 +2023-03-04 05:19:49,813 - mmseg - INFO - Iter [70550/160000] lr: 1.875e-05, eta: 5:14:11, time: 0.171, data_time: 0.008, memory: 52541, decode.loss_ce: 0.0436, decode.acc_seg: 98.0929, loss: 0.0436 +2023-03-04 05:19:58,246 - mmseg - INFO - Iter [70600/160000] lr: 1.875e-05, eta: 5:13:57, time: 0.169, data_time: 0.007, memory: 52541, decode.loss_ce: 0.0428, decode.acc_seg: 98.1417, loss: 0.0428 +2023-03-04 05:20:06,428 - mmseg - INFO - Iter [70650/160000] lr: 1.875e-05, eta: 5:13:44, time: 0.164, data_time: 0.008, memory: 52541, decode.loss_ce: 0.0451, decode.acc_seg: 98.0549, loss: 0.0451 +2023-03-04 05:20:17,305 - mmseg - INFO - Iter [70700/160000] lr: 1.875e-05, eta: 5:13:34, time: 0.218, data_time: 0.057, memory: 52541, decode.loss_ce: 0.0468, decode.acc_seg: 97.9880, loss: 0.0468 +2023-03-04 05:20:25,303 - mmseg - INFO - Iter [70750/160000] lr: 1.875e-05, eta: 5:13:20, time: 0.160, data_time: 0.008, memory: 52541, decode.loss_ce: 0.0393, decode.acc_seg: 98.2709, loss: 0.0393 +2023-03-04 05:20:33,607 - mmseg - INFO - Iter [70800/160000] lr: 1.875e-05, eta: 5:13:07, time: 0.166, data_time: 0.007, memory: 52541, decode.loss_ce: 0.0468, decode.acc_seg: 97.9970, loss: 0.0468 +2023-03-04 05:20:41,812 - mmseg - INFO - Iter [70850/160000] lr: 1.875e-05, eta: 5:12:53, time: 0.164, data_time: 0.007, memory: 52541, decode.loss_ce: 0.0461, decode.acc_seg: 97.9858, loss: 0.0461 +2023-03-04 05:20:50,381 - mmseg - INFO - Iter [70900/160000] lr: 1.875e-05, eta: 5:12:40, time: 0.171, data_time: 0.008, memory: 52541, decode.loss_ce: 0.0439, decode.acc_seg: 98.0857, loss: 0.0439 +2023-03-04 05:20:58,495 - mmseg - INFO - Iter [70950/160000] lr: 1.875e-05, eta: 5:12:27, time: 0.162, data_time: 0.007, memory: 52541, decode.loss_ce: 0.0433, decode.acc_seg: 98.1100, loss: 0.0433 +2023-03-04 05:21:06,938 - mmseg - INFO - Exp name: ablation_segformer_mit_b2_segformer_head_unet_fc_small_multi_step_ade_pretrained_freeze_embed_160k_ade20k151_finetune_ema_wgt.py +2023-03-04 05:21:06,938 - mmseg - INFO - Iter [71000/160000] lr: 1.875e-05, eta: 5:12:14, time: 0.169, data_time: 0.007, memory: 52541, decode.loss_ce: 0.0439, decode.acc_seg: 98.1064, loss: 0.0439 +2023-03-04 05:21:15,275 - mmseg - INFO - Iter [71050/160000] lr: 1.875e-05, eta: 5:12:00, time: 0.167, data_time: 0.008, memory: 52541, decode.loss_ce: 0.0458, decode.acc_seg: 98.0192, loss: 0.0458 +2023-03-04 05:21:23,636 - mmseg - INFO - Iter [71100/160000] lr: 1.875e-05, eta: 5:11:47, time: 0.167, data_time: 0.007, memory: 52541, decode.loss_ce: 0.0410, decode.acc_seg: 98.2052, loss: 0.0410 +2023-03-04 05:21:31,970 - mmseg - INFO - Iter [71150/160000] lr: 1.875e-05, eta: 5:11:34, time: 0.166, data_time: 0.008, memory: 52541, decode.loss_ce: 0.0425, decode.acc_seg: 98.1350, loss: 0.0425 +2023-03-04 05:21:40,236 - mmseg - INFO - Iter [71200/160000] lr: 1.875e-05, eta: 5:11:20, time: 0.166, data_time: 0.008, memory: 52541, decode.loss_ce: 0.0435, decode.acc_seg: 98.0948, loss: 0.0435 +2023-03-04 05:21:48,344 - mmseg - INFO - Iter [71250/160000] lr: 1.875e-05, eta: 5:11:07, time: 0.162, data_time: 0.007, memory: 52541, decode.loss_ce: 0.0422, decode.acc_seg: 98.1609, loss: 0.0422 +2023-03-04 05:21:56,689 - mmseg - INFO - Iter [71300/160000] lr: 1.875e-05, eta: 5:10:54, time: 0.167, data_time: 0.008, memory: 52541, decode.loss_ce: 0.0455, decode.acc_seg: 98.0548, loss: 0.0455 +2023-03-04 05:22:07,923 - mmseg - INFO - Iter [71350/160000] lr: 1.875e-05, eta: 5:10:44, time: 0.225, data_time: 0.055, memory: 52541, decode.loss_ce: 0.0457, decode.acc_seg: 98.0067, loss: 0.0457 +2023-03-04 05:22:16,309 - mmseg - INFO - Iter [71400/160000] lr: 1.875e-05, eta: 5:10:31, time: 0.168, data_time: 0.007, memory: 52541, decode.loss_ce: 0.0470, decode.acc_seg: 97.9942, loss: 0.0470 +2023-03-04 05:22:24,623 - mmseg - INFO - Iter [71450/160000] lr: 1.875e-05, eta: 5:10:18, time: 0.166, data_time: 0.008, memory: 52541, decode.loss_ce: 0.0436, decode.acc_seg: 98.0724, loss: 0.0436 +2023-03-04 05:22:33,212 - mmseg - INFO - Iter [71500/160000] lr: 1.875e-05, eta: 5:10:05, time: 0.172, data_time: 0.007, memory: 52541, decode.loss_ce: 0.0452, decode.acc_seg: 98.0339, loss: 0.0452 +2023-03-04 05:22:41,334 - mmseg - INFO - Iter [71550/160000] lr: 1.875e-05, eta: 5:09:51, time: 0.163, data_time: 0.008, memory: 52541, decode.loss_ce: 0.0472, decode.acc_seg: 97.9852, loss: 0.0472 +2023-03-04 05:22:50,074 - mmseg - INFO - Iter [71600/160000] lr: 1.875e-05, eta: 5:09:39, time: 0.174, data_time: 0.007, memory: 52541, decode.loss_ce: 0.0429, decode.acc_seg: 98.1140, loss: 0.0429 +2023-03-04 05:22:58,755 - mmseg - INFO - Iter [71650/160000] lr: 1.875e-05, eta: 5:09:26, time: 0.174, data_time: 0.008, memory: 52541, decode.loss_ce: 0.0437, decode.acc_seg: 98.0795, loss: 0.0437 +2023-03-04 05:23:06,802 - mmseg - INFO - Iter [71700/160000] lr: 1.875e-05, eta: 5:09:12, time: 0.161, data_time: 0.007, memory: 52541, decode.loss_ce: 0.0442, decode.acc_seg: 98.0603, loss: 0.0442 +2023-03-04 05:23:15,199 - mmseg - INFO - Iter [71750/160000] lr: 1.875e-05, eta: 5:08:59, time: 0.168, data_time: 0.008, memory: 52541, decode.loss_ce: 0.0423, decode.acc_seg: 98.1471, loss: 0.0423 +2023-03-04 05:23:23,770 - mmseg - INFO - Iter [71800/160000] lr: 1.875e-05, eta: 5:08:46, time: 0.171, data_time: 0.007, memory: 52541, decode.loss_ce: 0.0444, decode.acc_seg: 98.0699, loss: 0.0444 +2023-03-04 05:23:32,081 - mmseg - INFO - Iter [71850/160000] lr: 1.875e-05, eta: 5:08:33, time: 0.166, data_time: 0.007, memory: 52541, decode.loss_ce: 0.0440, decode.acc_seg: 98.0495, loss: 0.0440 +2023-03-04 05:23:40,463 - mmseg - INFO - Iter [71900/160000] lr: 1.875e-05, eta: 5:08:20, time: 0.168, data_time: 0.007, memory: 52541, decode.loss_ce: 0.0411, decode.acc_seg: 98.1851, loss: 0.0411 +2023-03-04 05:23:51,285 - mmseg - INFO - Iter [71950/160000] lr: 1.875e-05, eta: 5:08:10, time: 0.216, data_time: 0.054, memory: 52541, decode.loss_ce: 0.0413, decode.acc_seg: 98.2077, loss: 0.0413 +2023-03-04 05:23:59,591 - mmseg - INFO - Exp name: ablation_segformer_mit_b2_segformer_head_unet_fc_small_multi_step_ade_pretrained_freeze_embed_160k_ade20k151_finetune_ema_wgt.py +2023-03-04 05:23:59,591 - mmseg - INFO - Iter [72000/160000] lr: 1.875e-05, eta: 5:07:57, time: 0.166, data_time: 0.007, memory: 52541, decode.loss_ce: 0.0449, decode.acc_seg: 98.0626, loss: 0.0449 +2023-03-04 05:24:07,650 - mmseg - INFO - Iter [72050/160000] lr: 1.875e-05, eta: 5:07:43, time: 0.161, data_time: 0.007, memory: 52541, decode.loss_ce: 0.0454, decode.acc_seg: 98.0083, loss: 0.0454 +2023-03-04 05:24:16,206 - mmseg - INFO - Iter [72100/160000] lr: 1.875e-05, eta: 5:07:30, time: 0.171, data_time: 0.007, memory: 52541, decode.loss_ce: 0.0457, decode.acc_seg: 97.9937, loss: 0.0457 +2023-03-04 05:24:24,312 - mmseg - INFO - Iter [72150/160000] lr: 1.875e-05, eta: 5:07:17, time: 0.162, data_time: 0.008, memory: 52541, decode.loss_ce: 0.0450, decode.acc_seg: 98.0750, loss: 0.0450 +2023-03-04 05:24:32,749 - mmseg - INFO - Iter [72200/160000] lr: 1.875e-05, eta: 5:07:04, time: 0.168, data_time: 0.007, memory: 52541, decode.loss_ce: 0.0489, decode.acc_seg: 97.9102, loss: 0.0489 +2023-03-04 05:24:41,311 - mmseg - INFO - Iter [72250/160000] lr: 1.875e-05, eta: 5:06:51, time: 0.171, data_time: 0.008, memory: 52541, decode.loss_ce: 0.0460, decode.acc_seg: 98.0197, loss: 0.0460 +2023-03-04 05:24:49,829 - mmseg - INFO - Iter [72300/160000] lr: 1.875e-05, eta: 5:06:38, time: 0.171, data_time: 0.008, memory: 52541, decode.loss_ce: 0.0459, decode.acc_seg: 98.0189, loss: 0.0459 +2023-03-04 05:24:57,952 - mmseg - INFO - Iter [72350/160000] lr: 1.875e-05, eta: 5:06:25, time: 0.162, data_time: 0.008, memory: 52541, decode.loss_ce: 0.0446, decode.acc_seg: 98.0454, loss: 0.0446 +2023-03-04 05:25:06,287 - mmseg - INFO - Iter [72400/160000] lr: 1.875e-05, eta: 5:06:12, time: 0.167, data_time: 0.008, memory: 52541, decode.loss_ce: 0.0416, decode.acc_seg: 98.1922, loss: 0.0416 +2023-03-04 05:25:14,966 - mmseg - INFO - Iter [72450/160000] lr: 1.875e-05, eta: 5:05:59, time: 0.174, data_time: 0.007, memory: 52541, decode.loss_ce: 0.0441, decode.acc_seg: 98.0761, loss: 0.0441 +2023-03-04 05:25:23,101 - mmseg - INFO - Iter [72500/160000] lr: 1.875e-05, eta: 5:05:46, time: 0.163, data_time: 0.008, memory: 52541, decode.loss_ce: 0.0436, decode.acc_seg: 98.0804, loss: 0.0436 +2023-03-04 05:25:31,320 - mmseg - INFO - Iter [72550/160000] lr: 1.875e-05, eta: 5:05:33, time: 0.164, data_time: 0.008, memory: 52541, decode.loss_ce: 0.0423, decode.acc_seg: 98.1784, loss: 0.0423 +2023-03-04 05:25:42,017 - mmseg - INFO - Iter [72600/160000] lr: 1.875e-05, eta: 5:05:22, time: 0.214, data_time: 0.055, memory: 52541, decode.loss_ce: 0.0429, decode.acc_seg: 98.1301, loss: 0.0429 +2023-03-04 05:25:50,626 - mmseg - INFO - Iter [72650/160000] lr: 1.875e-05, eta: 5:05:10, time: 0.172, data_time: 0.007, memory: 52541, decode.loss_ce: 0.0449, decode.acc_seg: 98.0565, loss: 0.0449 +2023-03-04 05:25:58,592 - mmseg - INFO - Iter [72700/160000] lr: 1.875e-05, eta: 5:04:56, time: 0.159, data_time: 0.007, memory: 52541, decode.loss_ce: 0.0454, decode.acc_seg: 98.0388, loss: 0.0454 +2023-03-04 05:26:07,052 - mmseg - INFO - Iter [72750/160000] lr: 1.875e-05, eta: 5:04:43, time: 0.169, data_time: 0.008, memory: 52541, decode.loss_ce: 0.0425, decode.acc_seg: 98.1581, loss: 0.0425 +2023-03-04 05:26:15,406 - mmseg - INFO - Iter [72800/160000] lr: 1.875e-05, eta: 5:04:30, time: 0.167, data_time: 0.008, memory: 52541, decode.loss_ce: 0.0436, decode.acc_seg: 98.1287, loss: 0.0436 +2023-03-04 05:26:23,781 - mmseg - INFO - Iter [72850/160000] lr: 1.875e-05, eta: 5:04:17, time: 0.168, data_time: 0.007, memory: 52541, decode.loss_ce: 0.0449, decode.acc_seg: 98.0602, loss: 0.0449 +2023-03-04 05:26:32,169 - mmseg - INFO - Iter [72900/160000] lr: 1.875e-05, eta: 5:04:04, time: 0.168, data_time: 0.007, memory: 52541, decode.loss_ce: 0.0440, decode.acc_seg: 98.0696, loss: 0.0440 +2023-03-04 05:26:40,478 - mmseg - INFO - Iter [72950/160000] lr: 1.875e-05, eta: 5:03:51, time: 0.166, data_time: 0.008, memory: 52541, decode.loss_ce: 0.0431, decode.acc_seg: 98.1406, loss: 0.0431 +2023-03-04 05:26:48,588 - mmseg - INFO - Exp name: ablation_segformer_mit_b2_segformer_head_unet_fc_small_multi_step_ade_pretrained_freeze_embed_160k_ade20k151_finetune_ema_wgt.py +2023-03-04 05:26:48,588 - mmseg - INFO - Iter [73000/160000] lr: 1.875e-05, eta: 5:03:38, time: 0.162, data_time: 0.007, memory: 52541, decode.loss_ce: 0.0442, decode.acc_seg: 98.1087, loss: 0.0442 +2023-03-04 05:26:57,169 - mmseg - INFO - Iter [73050/160000] lr: 1.875e-05, eta: 5:03:25, time: 0.172, data_time: 0.008, memory: 52541, decode.loss_ce: 0.0418, decode.acc_seg: 98.1544, loss: 0.0418 +2023-03-04 05:27:05,538 - mmseg - INFO - Iter [73100/160000] lr: 1.875e-05, eta: 5:03:12, time: 0.167, data_time: 0.008, memory: 52541, decode.loss_ce: 0.0443, decode.acc_seg: 98.0666, loss: 0.0443 +2023-03-04 05:27:13,683 - mmseg - INFO - Iter [73150/160000] lr: 1.875e-05, eta: 5:02:59, time: 0.163, data_time: 0.008, memory: 52541, decode.loss_ce: 0.0419, decode.acc_seg: 98.1903, loss: 0.0419 +2023-03-04 05:27:24,414 - mmseg - INFO - Iter [73200/160000] lr: 1.875e-05, eta: 5:02:49, time: 0.215, data_time: 0.056, memory: 52541, decode.loss_ce: 0.0428, decode.acc_seg: 98.1153, loss: 0.0428 +2023-03-04 05:27:32,727 - mmseg - INFO - Iter [73250/160000] lr: 1.875e-05, eta: 5:02:36, time: 0.166, data_time: 0.007, memory: 52541, decode.loss_ce: 0.0453, decode.acc_seg: 98.0189, loss: 0.0453 +2023-03-04 05:27:40,798 - mmseg - INFO - Iter [73300/160000] lr: 1.875e-05, eta: 5:02:23, time: 0.161, data_time: 0.007, memory: 52541, decode.loss_ce: 0.0440, decode.acc_seg: 98.0951, loss: 0.0440 +2023-03-04 05:27:48,984 - mmseg - INFO - Iter [73350/160000] lr: 1.875e-05, eta: 5:02:09, time: 0.164, data_time: 0.007, memory: 52541, decode.loss_ce: 0.0418, decode.acc_seg: 98.1540, loss: 0.0418 +2023-03-04 05:27:57,418 - mmseg - INFO - Iter [73400/160000] lr: 1.875e-05, eta: 5:01:57, time: 0.168, data_time: 0.008, memory: 52541, decode.loss_ce: 0.0453, decode.acc_seg: 98.0453, loss: 0.0453 +2023-03-04 05:28:05,481 - mmseg - INFO - Iter [73450/160000] lr: 1.875e-05, eta: 5:01:43, time: 0.162, data_time: 0.008, memory: 52541, decode.loss_ce: 0.0427, decode.acc_seg: 98.1339, loss: 0.0427 +2023-03-04 05:28:13,975 - mmseg - INFO - Iter [73500/160000] lr: 1.875e-05, eta: 5:01:31, time: 0.170, data_time: 0.007, memory: 52541, decode.loss_ce: 0.0431, decode.acc_seg: 98.1436, loss: 0.0431 +2023-03-04 05:28:22,153 - mmseg - INFO - Iter [73550/160000] lr: 1.875e-05, eta: 5:01:17, time: 0.163, data_time: 0.007, memory: 52541, decode.loss_ce: 0.0457, decode.acc_seg: 98.0230, loss: 0.0457 +2023-03-04 05:28:31,058 - mmseg - INFO - Iter [73600/160000] lr: 1.875e-05, eta: 5:01:05, time: 0.178, data_time: 0.007, memory: 52541, decode.loss_ce: 0.0463, decode.acc_seg: 98.0108, loss: 0.0463 +2023-03-04 05:28:39,406 - mmseg - INFO - Iter [73650/160000] lr: 1.875e-05, eta: 5:00:52, time: 0.167, data_time: 0.007, memory: 52541, decode.loss_ce: 0.0456, decode.acc_seg: 98.0481, loss: 0.0456 +2023-03-04 05:28:47,549 - mmseg - INFO - Iter [73700/160000] lr: 1.875e-05, eta: 5:00:39, time: 0.163, data_time: 0.007, memory: 52541, decode.loss_ce: 0.0446, decode.acc_seg: 98.0785, loss: 0.0446 +2023-03-04 05:28:56,066 - mmseg - INFO - Iter [73750/160000] lr: 1.875e-05, eta: 5:00:26, time: 0.170, data_time: 0.007, memory: 52541, decode.loss_ce: 0.0445, decode.acc_seg: 98.1094, loss: 0.0445 +2023-03-04 05:29:04,752 - mmseg - INFO - Iter [73800/160000] lr: 1.875e-05, eta: 5:00:14, time: 0.174, data_time: 0.008, memory: 52541, decode.loss_ce: 0.0447, decode.acc_seg: 98.0574, loss: 0.0447 +2023-03-04 05:29:15,266 - mmseg - INFO - Iter [73850/160000] lr: 1.875e-05, eta: 5:00:03, time: 0.210, data_time: 0.052, memory: 52541, decode.loss_ce: 0.0455, decode.acc_seg: 98.0390, loss: 0.0455 +2023-03-04 05:29:23,504 - mmseg - INFO - Iter [73900/160000] lr: 1.875e-05, eta: 4:59:50, time: 0.165, data_time: 0.007, memory: 52541, decode.loss_ce: 0.0434, decode.acc_seg: 98.1062, loss: 0.0434 +2023-03-04 05:29:31,577 - mmseg - INFO - Iter [73950/160000] lr: 1.875e-05, eta: 4:59:37, time: 0.161, data_time: 0.007, memory: 52541, decode.loss_ce: 0.0459, decode.acc_seg: 97.9791, loss: 0.0459 +2023-03-04 05:29:40,533 - mmseg - INFO - Exp name: ablation_segformer_mit_b2_segformer_head_unet_fc_small_multi_step_ade_pretrained_freeze_embed_160k_ade20k151_finetune_ema_wgt.py +2023-03-04 05:29:40,533 - mmseg - INFO - Iter [74000/160000] lr: 1.875e-05, eta: 4:59:25, time: 0.179, data_time: 0.006, memory: 52541, decode.loss_ce: 0.0480, decode.acc_seg: 97.9622, loss: 0.0480 +2023-03-04 05:29:48,734 - mmseg - INFO - Iter [74050/160000] lr: 1.875e-05, eta: 4:59:12, time: 0.164, data_time: 0.007, memory: 52541, decode.loss_ce: 0.0453, decode.acc_seg: 98.0654, loss: 0.0453 +2023-03-04 05:29:57,114 - mmseg - INFO - Iter [74100/160000] lr: 1.875e-05, eta: 4:58:59, time: 0.168, data_time: 0.008, memory: 52541, decode.loss_ce: 0.0433, decode.acc_seg: 98.1141, loss: 0.0433 +2023-03-04 05:30:05,206 - mmseg - INFO - Iter [74150/160000] lr: 1.875e-05, eta: 4:58:46, time: 0.162, data_time: 0.008, memory: 52541, decode.loss_ce: 0.0443, decode.acc_seg: 98.0906, loss: 0.0443 +2023-03-04 05:30:13,536 - mmseg - INFO - Iter [74200/160000] lr: 1.875e-05, eta: 4:58:33, time: 0.167, data_time: 0.008, memory: 52541, decode.loss_ce: 0.0434, decode.acc_seg: 98.0960, loss: 0.0434 +2023-03-04 05:30:21,833 - mmseg - INFO - Iter [74250/160000] lr: 1.875e-05, eta: 4:58:20, time: 0.166, data_time: 0.007, memory: 52541, decode.loss_ce: 0.0427, decode.acc_seg: 98.1443, loss: 0.0427 +2023-03-04 05:30:30,296 - mmseg - INFO - Iter [74300/160000] lr: 1.875e-05, eta: 4:58:07, time: 0.169, data_time: 0.007, memory: 52541, decode.loss_ce: 0.0411, decode.acc_seg: 98.2031, loss: 0.0411 +2023-03-04 05:30:38,761 - mmseg - INFO - Iter [74350/160000] lr: 1.875e-05, eta: 4:57:55, time: 0.169, data_time: 0.008, memory: 52541, decode.loss_ce: 0.0402, decode.acc_seg: 98.2235, loss: 0.0402 +2023-03-04 05:30:47,152 - mmseg - INFO - Iter [74400/160000] lr: 1.875e-05, eta: 4:57:42, time: 0.168, data_time: 0.007, memory: 52541, decode.loss_ce: 0.0464, decode.acc_seg: 97.9875, loss: 0.0464 +2023-03-04 05:30:55,710 - mmseg - INFO - Iter [74450/160000] lr: 1.875e-05, eta: 4:57:29, time: 0.171, data_time: 0.008, memory: 52541, decode.loss_ce: 0.0451, decode.acc_seg: 98.0661, loss: 0.0451 +2023-03-04 05:31:06,357 - mmseg - INFO - Iter [74500/160000] lr: 1.875e-05, eta: 4:57:19, time: 0.213, data_time: 0.056, memory: 52541, decode.loss_ce: 0.0422, decode.acc_seg: 98.1519, loss: 0.0422 +2023-03-04 05:31:14,883 - mmseg - INFO - Iter [74550/160000] lr: 1.875e-05, eta: 4:57:07, time: 0.171, data_time: 0.008, memory: 52541, decode.loss_ce: 0.0410, decode.acc_seg: 98.2016, loss: 0.0410 +2023-03-04 05:31:23,318 - mmseg - INFO - Iter [74600/160000] lr: 1.875e-05, eta: 4:56:54, time: 0.169, data_time: 0.007, memory: 52541, decode.loss_ce: 0.0417, decode.acc_seg: 98.1639, loss: 0.0417 +2023-03-04 05:31:31,679 - mmseg - INFO - Iter [74650/160000] lr: 1.875e-05, eta: 4:56:41, time: 0.167, data_time: 0.008, memory: 52541, decode.loss_ce: 0.0435, decode.acc_seg: 98.0949, loss: 0.0435 +2023-03-04 05:31:39,901 - mmseg - INFO - Iter [74700/160000] lr: 1.875e-05, eta: 4:56:28, time: 0.164, data_time: 0.007, memory: 52541, decode.loss_ce: 0.0424, decode.acc_seg: 98.1435, loss: 0.0424 +2023-03-04 05:31:48,227 - mmseg - INFO - Iter [74750/160000] lr: 1.875e-05, eta: 4:56:15, time: 0.167, data_time: 0.007, memory: 52541, decode.loss_ce: 0.0476, decode.acc_seg: 97.9660, loss: 0.0476 +2023-03-04 05:31:56,453 - mmseg - INFO - Iter [74800/160000] lr: 1.875e-05, eta: 4:56:02, time: 0.164, data_time: 0.008, memory: 52541, decode.loss_ce: 0.0450, decode.acc_seg: 98.0656, loss: 0.0450 +2023-03-04 05:32:04,789 - mmseg - INFO - Iter [74850/160000] lr: 1.875e-05, eta: 4:55:50, time: 0.167, data_time: 0.008, memory: 52541, decode.loss_ce: 0.0434, decode.acc_seg: 98.1308, loss: 0.0434 +2023-03-04 05:32:13,159 - mmseg - INFO - Iter [74900/160000] lr: 1.875e-05, eta: 4:55:37, time: 0.167, data_time: 0.008, memory: 52541, decode.loss_ce: 0.0464, decode.acc_seg: 97.9980, loss: 0.0464 +2023-03-04 05:32:21,657 - mmseg - INFO - Iter [74950/160000] lr: 1.875e-05, eta: 4:55:24, time: 0.170, data_time: 0.007, memory: 52541, decode.loss_ce: 0.0443, decode.acc_seg: 98.1099, loss: 0.0443 +2023-03-04 05:32:29,776 - mmseg - INFO - Exp name: ablation_segformer_mit_b2_segformer_head_unet_fc_small_multi_step_ade_pretrained_freeze_embed_160k_ade20k151_finetune_ema_wgt.py +2023-03-04 05:32:29,776 - mmseg - INFO - Iter [75000/160000] lr: 1.875e-05, eta: 4:55:11, time: 0.162, data_time: 0.008, memory: 52541, decode.loss_ce: 0.0415, decode.acc_seg: 98.1763, loss: 0.0415 +2023-03-04 05:32:38,098 - mmseg - INFO - Iter [75050/160000] lr: 1.875e-05, eta: 4:54:58, time: 0.166, data_time: 0.008, memory: 52541, decode.loss_ce: 0.0454, decode.acc_seg: 98.0275, loss: 0.0454 +2023-03-04 05:32:48,850 - mmseg - INFO - Iter [75100/160000] lr: 1.875e-05, eta: 4:54:48, time: 0.215, data_time: 0.054, memory: 52541, decode.loss_ce: 0.0404, decode.acc_seg: 98.2363, loss: 0.0404 +2023-03-04 05:32:57,534 - mmseg - INFO - Iter [75150/160000] lr: 1.875e-05, eta: 4:54:36, time: 0.173, data_time: 0.007, memory: 52541, decode.loss_ce: 0.0431, decode.acc_seg: 98.1243, loss: 0.0431 +2023-03-04 05:33:06,458 - mmseg - INFO - Iter [75200/160000] lr: 1.875e-05, eta: 4:54:24, time: 0.179, data_time: 0.007, memory: 52541, decode.loss_ce: 0.0412, decode.acc_seg: 98.2071, loss: 0.0412 +2023-03-04 05:33:15,345 - mmseg - INFO - Iter [75250/160000] lr: 1.875e-05, eta: 4:54:12, time: 0.178, data_time: 0.008, memory: 52541, decode.loss_ce: 0.0442, decode.acc_seg: 98.0973, loss: 0.0442 +2023-03-04 05:33:24,056 - mmseg - INFO - Iter [75300/160000] lr: 1.875e-05, eta: 4:53:59, time: 0.174, data_time: 0.007, memory: 52541, decode.loss_ce: 0.0397, decode.acc_seg: 98.2304, loss: 0.0397 +2023-03-04 05:33:32,340 - mmseg - INFO - Iter [75350/160000] lr: 1.875e-05, eta: 4:53:47, time: 0.166, data_time: 0.008, memory: 52541, decode.loss_ce: 0.0447, decode.acc_seg: 98.0437, loss: 0.0447 +2023-03-04 05:33:40,429 - mmseg - INFO - Iter [75400/160000] lr: 1.875e-05, eta: 4:53:34, time: 0.162, data_time: 0.008, memory: 52541, decode.loss_ce: 0.0441, decode.acc_seg: 98.0852, loss: 0.0441 +2023-03-04 05:33:48,698 - mmseg - INFO - Iter [75450/160000] lr: 1.875e-05, eta: 4:53:21, time: 0.165, data_time: 0.008, memory: 52541, decode.loss_ce: 0.0422, decode.acc_seg: 98.1729, loss: 0.0422 +2023-03-04 05:33:57,366 - mmseg - INFO - Iter [75500/160000] lr: 1.875e-05, eta: 4:53:08, time: 0.173, data_time: 0.007, memory: 52541, decode.loss_ce: 0.0417, decode.acc_seg: 98.2020, loss: 0.0417 +2023-03-04 05:34:05,691 - mmseg - INFO - Iter [75550/160000] lr: 1.875e-05, eta: 4:52:56, time: 0.166, data_time: 0.007, memory: 52541, decode.loss_ce: 0.0403, decode.acc_seg: 98.2284, loss: 0.0403 +2023-03-04 05:34:14,028 - mmseg - INFO - Iter [75600/160000] lr: 1.875e-05, eta: 4:52:43, time: 0.166, data_time: 0.008, memory: 52541, decode.loss_ce: 0.0413, decode.acc_seg: 98.1735, loss: 0.0413 +2023-03-04 05:34:22,556 - mmseg - INFO - Iter [75650/160000] lr: 1.875e-05, eta: 4:52:30, time: 0.171, data_time: 0.007, memory: 52541, decode.loss_ce: 0.0392, decode.acc_seg: 98.2861, loss: 0.0392 +2023-03-04 05:34:31,351 - mmseg - INFO - Iter [75700/160000] lr: 1.875e-05, eta: 4:52:18, time: 0.176, data_time: 0.007, memory: 52541, decode.loss_ce: 0.0390, decode.acc_seg: 98.2843, loss: 0.0390 +2023-03-04 05:34:41,991 - mmseg - INFO - Iter [75750/160000] lr: 1.875e-05, eta: 4:52:08, time: 0.213, data_time: 0.055, memory: 52541, decode.loss_ce: 0.0405, decode.acc_seg: 98.2222, loss: 0.0405 +2023-03-04 05:34:50,400 - mmseg - INFO - Iter [75800/160000] lr: 1.875e-05, eta: 4:51:55, time: 0.168, data_time: 0.007, memory: 52541, decode.loss_ce: 0.0433, decode.acc_seg: 98.1453, loss: 0.0433 +2023-03-04 05:34:58,767 - mmseg - INFO - Iter [75850/160000] lr: 1.875e-05, eta: 4:51:43, time: 0.167, data_time: 0.008, memory: 52541, decode.loss_ce: 0.0433, decode.acc_seg: 98.1093, loss: 0.0433 +2023-03-04 05:35:07,204 - mmseg - INFO - Iter [75900/160000] lr: 1.875e-05, eta: 4:51:30, time: 0.169, data_time: 0.007, memory: 52541, decode.loss_ce: 0.0418, decode.acc_seg: 98.1704, loss: 0.0418 +2023-03-04 05:35:15,355 - mmseg - INFO - Iter [75950/160000] lr: 1.875e-05, eta: 4:51:17, time: 0.163, data_time: 0.007, memory: 52541, decode.loss_ce: 0.0439, decode.acc_seg: 98.1054, loss: 0.0439 +2023-03-04 05:35:23,911 - mmseg - INFO - Exp name: ablation_segformer_mit_b2_segformer_head_unet_fc_small_multi_step_ade_pretrained_freeze_embed_160k_ade20k151_finetune_ema_wgt.py +2023-03-04 05:35:23,911 - mmseg - INFO - Iter [76000/160000] lr: 1.875e-05, eta: 4:51:05, time: 0.171, data_time: 0.007, memory: 52541, decode.loss_ce: 0.0433, decode.acc_seg: 98.1158, loss: 0.0433 +2023-03-04 05:35:32,256 - mmseg - INFO - Iter [76050/160000] lr: 1.875e-05, eta: 4:50:52, time: 0.167, data_time: 0.007, memory: 52541, decode.loss_ce: 0.0467, decode.acc_seg: 98.0213, loss: 0.0467 +2023-03-04 05:35:40,653 - mmseg - INFO - Iter [76100/160000] lr: 1.875e-05, eta: 4:50:40, time: 0.168, data_time: 0.008, memory: 52541, decode.loss_ce: 0.0434, decode.acc_seg: 98.0979, loss: 0.0434 +2023-03-04 05:35:49,086 - mmseg - INFO - Iter [76150/160000] lr: 1.875e-05, eta: 4:50:27, time: 0.169, data_time: 0.007, memory: 52541, decode.loss_ce: 0.0443, decode.acc_seg: 98.0822, loss: 0.0443 +2023-03-04 05:35:57,475 - mmseg - INFO - Iter [76200/160000] lr: 1.875e-05, eta: 4:50:15, time: 0.168, data_time: 0.008, memory: 52541, decode.loss_ce: 0.0440, decode.acc_seg: 98.0670, loss: 0.0440 +2023-03-04 05:36:05,800 - mmseg - INFO - Iter [76250/160000] lr: 1.875e-05, eta: 4:50:02, time: 0.167, data_time: 0.007, memory: 52541, decode.loss_ce: 0.0437, decode.acc_seg: 98.0916, loss: 0.0437 +2023-03-04 05:36:14,368 - mmseg - INFO - Iter [76300/160000] lr: 1.875e-05, eta: 4:49:49, time: 0.171, data_time: 0.007, memory: 52541, decode.loss_ce: 0.0451, decode.acc_seg: 98.0401, loss: 0.0451 +2023-03-04 05:36:22,679 - mmseg - INFO - Iter [76350/160000] lr: 1.875e-05, eta: 4:49:37, time: 0.167, data_time: 0.008, memory: 52541, decode.loss_ce: 0.0440, decode.acc_seg: 98.0581, loss: 0.0440 +2023-03-04 05:36:33,774 - mmseg - INFO - Iter [76400/160000] lr: 1.875e-05, eta: 4:49:27, time: 0.222, data_time: 0.054, memory: 52541, decode.loss_ce: 0.0427, decode.acc_seg: 98.1397, loss: 0.0427 +2023-03-04 05:36:42,171 - mmseg - INFO - Iter [76450/160000] lr: 1.875e-05, eta: 4:49:15, time: 0.168, data_time: 0.008, memory: 52541, decode.loss_ce: 0.0443, decode.acc_seg: 98.0792, loss: 0.0443 +2023-03-04 05:36:50,388 - mmseg - INFO - Iter [76500/160000] lr: 1.875e-05, eta: 4:49:02, time: 0.165, data_time: 0.008, memory: 52541, decode.loss_ce: 0.0460, decode.acc_seg: 98.0298, loss: 0.0460 +2023-03-04 05:36:58,984 - mmseg - INFO - Iter [76550/160000] lr: 1.875e-05, eta: 4:48:50, time: 0.172, data_time: 0.007, memory: 52541, decode.loss_ce: 0.0470, decode.acc_seg: 98.0036, loss: 0.0470 +2023-03-04 05:37:07,479 - mmseg - INFO - Iter [76600/160000] lr: 1.875e-05, eta: 4:48:37, time: 0.170, data_time: 0.008, memory: 52541, decode.loss_ce: 0.0418, decode.acc_seg: 98.1571, loss: 0.0418 +2023-03-04 05:37:15,852 - mmseg - INFO - Iter [76650/160000] lr: 1.875e-05, eta: 4:48:25, time: 0.167, data_time: 0.008, memory: 52541, decode.loss_ce: 0.0438, decode.acc_seg: 98.0979, loss: 0.0438 +2023-03-04 05:37:24,240 - mmseg - INFO - Iter [76700/160000] lr: 1.875e-05, eta: 4:48:12, time: 0.167, data_time: 0.008, memory: 52541, decode.loss_ce: 0.0431, decode.acc_seg: 98.1147, loss: 0.0431 +2023-03-04 05:37:32,529 - mmseg - INFO - Iter [76750/160000] lr: 1.875e-05, eta: 4:47:59, time: 0.166, data_time: 0.008, memory: 52541, decode.loss_ce: 0.0468, decode.acc_seg: 98.0158, loss: 0.0468 +2023-03-04 05:37:40,830 - mmseg - INFO - Iter [76800/160000] lr: 1.875e-05, eta: 4:47:47, time: 0.166, data_time: 0.008, memory: 52541, decode.loss_ce: 0.0389, decode.acc_seg: 98.2860, loss: 0.0389 +2023-03-04 05:37:49,350 - mmseg - INFO - Iter [76850/160000] lr: 1.875e-05, eta: 4:47:34, time: 0.170, data_time: 0.008, memory: 52541, decode.loss_ce: 0.0418, decode.acc_seg: 98.1838, loss: 0.0418 +2023-03-04 05:37:57,890 - mmseg - INFO - Iter [76900/160000] lr: 1.875e-05, eta: 4:47:22, time: 0.171, data_time: 0.008, memory: 52541, decode.loss_ce: 0.0463, decode.acc_seg: 98.0101, loss: 0.0463 +2023-03-04 05:38:06,248 - mmseg - INFO - Iter [76950/160000] lr: 1.875e-05, eta: 4:47:09, time: 0.167, data_time: 0.007, memory: 52541, decode.loss_ce: 0.0415, decode.acc_seg: 98.1888, loss: 0.0415 +2023-03-04 05:38:17,431 - mmseg - INFO - Exp name: ablation_segformer_mit_b2_segformer_head_unet_fc_small_multi_step_ade_pretrained_freeze_embed_160k_ade20k151_finetune_ema_wgt.py +2023-03-04 05:38:17,431 - mmseg - INFO - Iter [77000/160000] lr: 1.875e-05, eta: 4:47:00, time: 0.224, data_time: 0.052, memory: 52541, decode.loss_ce: 0.0452, decode.acc_seg: 98.0799, loss: 0.0452 +2023-03-04 05:38:25,890 - mmseg - INFO - Iter [77050/160000] lr: 1.875e-05, eta: 4:46:47, time: 0.169, data_time: 0.008, memory: 52541, decode.loss_ce: 0.0440, decode.acc_seg: 98.0800, loss: 0.0440 +2023-03-04 05:38:34,396 - mmseg - INFO - Iter [77100/160000] lr: 1.875e-05, eta: 4:46:35, time: 0.170, data_time: 0.008, memory: 52541, decode.loss_ce: 0.0429, decode.acc_seg: 98.1386, loss: 0.0429 +2023-03-04 05:38:42,883 - mmseg - INFO - Iter [77150/160000] lr: 1.875e-05, eta: 4:46:23, time: 0.170, data_time: 0.007, memory: 52541, decode.loss_ce: 0.0420, decode.acc_seg: 98.1376, loss: 0.0420 +2023-03-04 05:38:51,055 - mmseg - INFO - Iter [77200/160000] lr: 1.875e-05, eta: 4:46:10, time: 0.163, data_time: 0.008, memory: 52541, decode.loss_ce: 0.0436, decode.acc_seg: 98.1176, loss: 0.0436 +2023-03-04 05:38:59,562 - mmseg - INFO - Iter [77250/160000] lr: 1.875e-05, eta: 4:45:58, time: 0.170, data_time: 0.007, memory: 52541, decode.loss_ce: 0.0414, decode.acc_seg: 98.1578, loss: 0.0414 +2023-03-04 05:39:08,229 - mmseg - INFO - Iter [77300/160000] lr: 1.875e-05, eta: 4:45:45, time: 0.173, data_time: 0.007, memory: 52541, decode.loss_ce: 0.0435, decode.acc_seg: 98.1154, loss: 0.0435 +2023-03-04 05:39:16,382 - mmseg - INFO - Iter [77350/160000] lr: 1.875e-05, eta: 4:45:33, time: 0.163, data_time: 0.007, memory: 52541, decode.loss_ce: 0.0431, decode.acc_seg: 98.1466, loss: 0.0431 +2023-03-04 05:39:25,075 - mmseg - INFO - Iter [77400/160000] lr: 1.875e-05, eta: 4:45:21, time: 0.174, data_time: 0.007, memory: 52541, decode.loss_ce: 0.0407, decode.acc_seg: 98.2165, loss: 0.0407 +2023-03-04 05:39:33,303 - mmseg - INFO - Iter [77450/160000] lr: 1.875e-05, eta: 4:45:08, time: 0.165, data_time: 0.007, memory: 52541, decode.loss_ce: 0.0444, decode.acc_seg: 98.0617, loss: 0.0444 +2023-03-04 05:39:41,782 - mmseg - INFO - Iter [77500/160000] lr: 1.875e-05, eta: 4:44:56, time: 0.170, data_time: 0.007, memory: 52541, decode.loss_ce: 0.0426, decode.acc_seg: 98.1364, loss: 0.0426 +2023-03-04 05:39:50,303 - mmseg - INFO - Iter [77550/160000] lr: 1.875e-05, eta: 4:44:43, time: 0.170, data_time: 0.007, memory: 52541, decode.loss_ce: 0.0496, decode.acc_seg: 97.8495, loss: 0.0496 +2023-03-04 05:39:58,810 - mmseg - INFO - Iter [77600/160000] lr: 1.875e-05, eta: 4:44:31, time: 0.170, data_time: 0.008, memory: 52541, decode.loss_ce: 0.0424, decode.acc_seg: 98.1319, loss: 0.0424 +2023-03-04 05:40:09,867 - mmseg - INFO - Iter [77650/160000] lr: 1.875e-05, eta: 4:44:21, time: 0.221, data_time: 0.056, memory: 52541, decode.loss_ce: 0.0445, decode.acc_seg: 98.0294, loss: 0.0445 +2023-03-04 05:40:18,420 - mmseg - INFO - Iter [77700/160000] lr: 1.875e-05, eta: 4:44:09, time: 0.171, data_time: 0.007, memory: 52541, decode.loss_ce: 0.0436, decode.acc_seg: 98.0905, loss: 0.0436 +2023-03-04 05:40:26,748 - mmseg - INFO - Iter [77750/160000] lr: 1.875e-05, eta: 4:43:57, time: 0.167, data_time: 0.007, memory: 52541, decode.loss_ce: 0.0460, decode.acc_seg: 98.0250, loss: 0.0460 +2023-03-04 05:40:35,029 - mmseg - INFO - Iter [77800/160000] lr: 1.875e-05, eta: 4:43:44, time: 0.165, data_time: 0.007, memory: 52541, decode.loss_ce: 0.0433, decode.acc_seg: 98.0859, loss: 0.0433 +2023-03-04 05:40:43,276 - mmseg - INFO - Iter [77850/160000] lr: 1.875e-05, eta: 4:43:31, time: 0.165, data_time: 0.008, memory: 52541, decode.loss_ce: 0.0428, decode.acc_seg: 98.1507, loss: 0.0428 +2023-03-04 05:40:51,770 - mmseg - INFO - Iter [77900/160000] lr: 1.875e-05, eta: 4:43:19, time: 0.170, data_time: 0.007, memory: 52541, decode.loss_ce: 0.0445, decode.acc_seg: 98.0983, loss: 0.0445 +2023-03-04 05:41:00,337 - mmseg - INFO - Iter [77950/160000] lr: 1.875e-05, eta: 4:43:07, time: 0.171, data_time: 0.008, memory: 52541, decode.loss_ce: 0.0457, decode.acc_seg: 98.0406, loss: 0.0457 +2023-03-04 05:41:08,996 - mmseg - INFO - Exp name: ablation_segformer_mit_b2_segformer_head_unet_fc_small_multi_step_ade_pretrained_freeze_embed_160k_ade20k151_finetune_ema_wgt.py +2023-03-04 05:41:08,996 - mmseg - INFO - Iter [78000/160000] lr: 1.875e-05, eta: 4:42:55, time: 0.173, data_time: 0.007, memory: 52541, decode.loss_ce: 0.0458, decode.acc_seg: 98.0302, loss: 0.0458 +2023-03-04 05:41:17,893 - mmseg - INFO - Iter [78050/160000] lr: 1.875e-05, eta: 4:42:43, time: 0.178, data_time: 0.007, memory: 52541, decode.loss_ce: 0.0434, decode.acc_seg: 98.1157, loss: 0.0434 +2023-03-04 05:41:26,099 - mmseg - INFO - Iter [78100/160000] lr: 1.875e-05, eta: 4:42:30, time: 0.164, data_time: 0.007, memory: 52541, decode.loss_ce: 0.0465, decode.acc_seg: 98.0104, loss: 0.0465 +2023-03-04 05:41:34,463 - mmseg - INFO - Iter [78150/160000] lr: 1.875e-05, eta: 4:42:18, time: 0.167, data_time: 0.008, memory: 52541, decode.loss_ce: 0.0455, decode.acc_seg: 98.0508, loss: 0.0455 +2023-03-04 05:41:43,181 - mmseg - INFO - Iter [78200/160000] lr: 1.875e-05, eta: 4:42:06, time: 0.174, data_time: 0.007, memory: 52541, decode.loss_ce: 0.0427, decode.acc_seg: 98.1497, loss: 0.0427 +2023-03-04 05:41:54,162 - mmseg - INFO - Iter [78250/160000] lr: 1.875e-05, eta: 4:41:56, time: 0.220, data_time: 0.054, memory: 52541, decode.loss_ce: 0.0449, decode.acc_seg: 98.0784, loss: 0.0449 +2023-03-04 05:42:02,212 - mmseg - INFO - Iter [78300/160000] lr: 1.875e-05, eta: 4:41:43, time: 0.161, data_time: 0.007, memory: 52541, decode.loss_ce: 0.0461, decode.acc_seg: 98.0298, loss: 0.0461 +2023-03-04 05:42:10,767 - mmseg - INFO - Iter [78350/160000] lr: 1.875e-05, eta: 4:41:31, time: 0.171, data_time: 0.007, memory: 52541, decode.loss_ce: 0.0464, decode.acc_seg: 98.0361, loss: 0.0464 +2023-03-04 05:42:19,404 - mmseg - INFO - Iter [78400/160000] lr: 1.875e-05, eta: 4:41:19, time: 0.173, data_time: 0.009, memory: 52541, decode.loss_ce: 0.0442, decode.acc_seg: 98.0921, loss: 0.0442 +2023-03-04 05:42:28,221 - mmseg - INFO - Iter [78450/160000] lr: 1.875e-05, eta: 4:41:07, time: 0.176, data_time: 0.008, memory: 52541, decode.loss_ce: 0.0450, decode.acc_seg: 98.0175, loss: 0.0450 +2023-03-04 05:42:37,332 - mmseg - INFO - Iter [78500/160000] lr: 1.875e-05, eta: 4:40:55, time: 0.182, data_time: 0.007, memory: 52541, decode.loss_ce: 0.0451, decode.acc_seg: 98.0644, loss: 0.0451 +2023-03-04 05:42:45,664 - mmseg - INFO - Iter [78550/160000] lr: 1.875e-05, eta: 4:40:43, time: 0.167, data_time: 0.007, memory: 52541, decode.loss_ce: 0.0440, decode.acc_seg: 98.0837, loss: 0.0440 +2023-03-04 05:42:53,855 - mmseg - INFO - Iter [78600/160000] lr: 1.875e-05, eta: 4:40:30, time: 0.164, data_time: 0.007, memory: 52541, decode.loss_ce: 0.0441, decode.acc_seg: 98.1091, loss: 0.0441 +2023-03-04 05:43:02,017 - mmseg - INFO - Iter [78650/160000] lr: 1.875e-05, eta: 4:40:18, time: 0.163, data_time: 0.007, memory: 52541, decode.loss_ce: 0.0439, decode.acc_seg: 98.0482, loss: 0.0439 +2023-03-04 05:43:10,586 - mmseg - INFO - Iter [78700/160000] lr: 1.875e-05, eta: 4:40:06, time: 0.171, data_time: 0.007, memory: 52541, decode.loss_ce: 0.0448, decode.acc_seg: 98.0389, loss: 0.0448 +2023-03-04 05:43:19,073 - mmseg - INFO - Iter [78750/160000] lr: 1.875e-05, eta: 4:39:53, time: 0.170, data_time: 0.008, memory: 52541, decode.loss_ce: 0.0428, decode.acc_seg: 98.1323, loss: 0.0428 +2023-03-04 05:43:27,530 - mmseg - INFO - Iter [78800/160000] lr: 1.875e-05, eta: 4:39:41, time: 0.169, data_time: 0.007, memory: 52541, decode.loss_ce: 0.0426, decode.acc_seg: 98.1348, loss: 0.0426 +2023-03-04 05:43:36,483 - mmseg - INFO - Iter [78850/160000] lr: 1.875e-05, eta: 4:39:29, time: 0.179, data_time: 0.007, memory: 52541, decode.loss_ce: 0.0436, decode.acc_seg: 98.1051, loss: 0.0436 +2023-03-04 05:43:47,178 - mmseg - INFO - Iter [78900/160000] lr: 1.875e-05, eta: 4:39:19, time: 0.214, data_time: 0.054, memory: 52541, decode.loss_ce: 0.0432, decode.acc_seg: 98.0843, loss: 0.0432 +2023-03-04 05:43:55,258 - mmseg - INFO - Iter [78950/160000] lr: 1.875e-05, eta: 4:39:07, time: 0.162, data_time: 0.008, memory: 52541, decode.loss_ce: 0.0448, decode.acc_seg: 98.0654, loss: 0.0448 +2023-03-04 05:44:03,621 - mmseg - INFO - Exp name: ablation_segformer_mit_b2_segformer_head_unet_fc_small_multi_step_ade_pretrained_freeze_embed_160k_ade20k151_finetune_ema_wgt.py +2023-03-04 05:44:03,621 - mmseg - INFO - Iter [79000/160000] lr: 1.875e-05, eta: 4:38:54, time: 0.167, data_time: 0.008, memory: 52541, decode.loss_ce: 0.0482, decode.acc_seg: 97.9497, loss: 0.0482 +2023-03-04 05:44:12,290 - mmseg - INFO - Iter [79050/160000] lr: 1.875e-05, eta: 4:38:42, time: 0.173, data_time: 0.008, memory: 52541, decode.loss_ce: 0.0462, decode.acc_seg: 98.0129, loss: 0.0462 +2023-03-04 05:44:20,673 - mmseg - INFO - Iter [79100/160000] lr: 1.875e-05, eta: 4:38:30, time: 0.168, data_time: 0.008, memory: 52541, decode.loss_ce: 0.0470, decode.acc_seg: 97.9545, loss: 0.0470 +2023-03-04 05:44:29,270 - mmseg - INFO - Iter [79150/160000] lr: 1.875e-05, eta: 4:38:18, time: 0.172, data_time: 0.008, memory: 52541, decode.loss_ce: 0.0478, decode.acc_seg: 97.9374, loss: 0.0478 +2023-03-04 05:44:37,874 - mmseg - INFO - Iter [79200/160000] lr: 1.875e-05, eta: 4:38:06, time: 0.172, data_time: 0.008, memory: 52541, decode.loss_ce: 0.0470, decode.acc_seg: 97.9972, loss: 0.0470 +2023-03-04 05:44:46,310 - mmseg - INFO - Iter [79250/160000] lr: 1.875e-05, eta: 4:37:54, time: 0.169, data_time: 0.007, memory: 52541, decode.loss_ce: 0.0518, decode.acc_seg: 97.8260, loss: 0.0518 +2023-03-04 05:44:54,409 - mmseg - INFO - Iter [79300/160000] lr: 1.875e-05, eta: 4:37:41, time: 0.162, data_time: 0.008, memory: 52541, decode.loss_ce: 0.0466, decode.acc_seg: 97.9831, loss: 0.0466 +2023-03-04 05:45:02,627 - mmseg - INFO - Iter [79350/160000] lr: 1.875e-05, eta: 4:37:29, time: 0.164, data_time: 0.008, memory: 52541, decode.loss_ce: 0.0458, decode.acc_seg: 98.0127, loss: 0.0458 +2023-03-04 05:45:11,463 - mmseg - INFO - Iter [79400/160000] lr: 1.875e-05, eta: 4:37:17, time: 0.177, data_time: 0.007, memory: 52541, decode.loss_ce: 0.0509, decode.acc_seg: 97.8312, loss: 0.0509 +2023-03-04 05:45:20,411 - mmseg - INFO - Iter [79450/160000] lr: 1.875e-05, eta: 4:37:05, time: 0.179, data_time: 0.007, memory: 52541, decode.loss_ce: 0.0453, decode.acc_seg: 98.0517, loss: 0.0453 +2023-03-04 05:45:28,673 - mmseg - INFO - Iter [79500/160000] lr: 1.875e-05, eta: 4:36:53, time: 0.165, data_time: 0.007, memory: 52541, decode.loss_ce: 0.0458, decode.acc_seg: 98.0369, loss: 0.0458 +2023-03-04 05:45:39,382 - mmseg - INFO - Iter [79550/160000] lr: 1.875e-05, eta: 4:36:43, time: 0.214, data_time: 0.054, memory: 52541, decode.loss_ce: 0.0468, decode.acc_seg: 98.0187, loss: 0.0468 +2023-03-04 05:45:48,172 - mmseg - INFO - Iter [79600/160000] lr: 1.875e-05, eta: 4:36:31, time: 0.176, data_time: 0.007, memory: 52541, decode.loss_ce: 0.0422, decode.acc_seg: 98.1613, loss: 0.0422 +2023-03-04 05:45:56,654 - mmseg - INFO - Iter [79650/160000] lr: 1.875e-05, eta: 4:36:19, time: 0.170, data_time: 0.007, memory: 52541, decode.loss_ce: 0.0464, decode.acc_seg: 97.9687, loss: 0.0464 +2023-03-04 05:46:05,071 - mmseg - INFO - Iter [79700/160000] lr: 1.875e-05, eta: 4:36:06, time: 0.168, data_time: 0.007, memory: 52541, decode.loss_ce: 0.0424, decode.acc_seg: 98.1432, loss: 0.0424 +2023-03-04 05:46:13,542 - mmseg - INFO - Iter [79750/160000] lr: 1.875e-05, eta: 4:35:54, time: 0.169, data_time: 0.008, memory: 52541, decode.loss_ce: 0.0457, decode.acc_seg: 98.0574, loss: 0.0457 +2023-03-04 05:46:21,764 - mmseg - INFO - Iter [79800/160000] lr: 1.875e-05, eta: 4:35:42, time: 0.164, data_time: 0.007, memory: 52541, decode.loss_ce: 0.0416, decode.acc_seg: 98.2067, loss: 0.0416 +2023-03-04 05:46:30,310 - mmseg - INFO - Iter [79850/160000] lr: 1.875e-05, eta: 4:35:30, time: 0.171, data_time: 0.008, memory: 52541, decode.loss_ce: 0.0445, decode.acc_seg: 98.0862, loss: 0.0445 +2023-03-04 05:46:38,529 - mmseg - INFO - Iter [79900/160000] lr: 1.875e-05, eta: 4:35:17, time: 0.164, data_time: 0.008, memory: 52541, decode.loss_ce: 0.0427, decode.acc_seg: 98.1721, loss: 0.0427 +2023-03-04 05:46:46,860 - mmseg - INFO - Iter [79950/160000] lr: 1.875e-05, eta: 4:35:05, time: 0.167, data_time: 0.007, memory: 52541, decode.loss_ce: 0.0436, decode.acc_seg: 98.1203, loss: 0.0436 +2023-03-04 05:46:55,092 - mmseg - INFO - Swap parameters (after train) after iter [80000] +2023-03-04 05:46:55,106 - mmseg - INFO - Saving checkpoint at 80000 iterations +2023-03-04 05:46:56,136 - mmseg - INFO - Exp name: ablation_segformer_mit_b2_segformer_head_unet_fc_small_multi_step_ade_pretrained_freeze_embed_160k_ade20k151_finetune_ema_wgt.py +2023-03-04 05:46:56,136 - mmseg - INFO - Iter [80000/160000] lr: 1.875e-05, eta: 4:34:54, time: 0.186, data_time: 0.007, memory: 52541, decode.loss_ce: 0.0430, decode.acc_seg: 98.1593, loss: 0.0430 +2023-03-04 05:57:47,504 - mmseg - INFO - per class results: +2023-03-04 05:57:47,513 - mmseg - INFO - ++---------------------+-------------------------------------------------------------------+ +| Class | IoU 0,10,20,30,40,50,60,70,80,90,99 | ++---------------------+-------------------------------------------------------------------+ +| background | nan,nan,nan,nan,nan,nan,nan,nan,nan,nan,nan | +| wall | 76.71,75.66,73.84,70.47,66.26,61.94,58.09,54.84,52.27,50.35,49.18 | +| building | 81.18,80.72,80.06,78.55,76.01,72.67,69.33,66.41,64.18,62.59,61.65 | +| sky | 94.36,93.98,93.41,91.91,89.13,85.44,81.77,78.6,76.04,74.13,72.87 | +| floor | 81.34,80.11,78.6,75.8,71.72,67.21,63.06,59.61,56.97,55.02,53.79 | +| tree | 73.66,72.3,70.46,66.76,61.1,54.84,49.44,45.25,42.09,39.75,38.25 | +| ceiling | 84.43,84.01,81.08,75.19,67.35,59.61,52.83,46.97,42.11,38.19,35.51 | +| road | 81.58,80.73,79.25,76.58,73.6,70.66,68.01,65.81,64.03,62.57,61.63 | +| bed | 87.28,87.75,86.68,84.6,81.13,76.66,71.97,67.56,64.12,61.52,59.89 | +| windowpane | 59.48,59.71,58.31,55.39,51.95,48.13,44.49,41.31,38.75,36.94,35.77 | +| grass | 66.21,65.82,64.53,62.42,59.66,57.03,54.85,53.1,51.62,50.55,49.92 | +| cabinet | 59.56,59.42,58.4,56.52,54.07,51.11,48.03,45.17,42.81,40.93,39.82 | +| sidewalk | 62.84,61.34,57.96,52.46,47.13,43.15,40.55,38.68,37.37,36.49,36.01 | +| person | 78.82,78.0,76.63,73.77,69.11,62.82,56.18,50.29,45.64,42.05,39.86 | +| earth | 35.62,35.6,35.69,35.32,34.6,33.7,32.83,32.12,31.55,31.17,30.98 | +| door | 44.55,43.21,41.47,38.52,35.68,33.0,30.54,28.36,26.58,25.23,24.35 | +| table | 58.6,58.6,57.45,54.36,49.49,43.55,37.51,32.83,29.45,27.17,25.86 | +| mountain | 55.6,55.99,55.54,54.0,51.71,49.15,46.84,44.93,43.44,42.29,41.56 | +| plant | 50.25,49.1,48.14,46.15,42.93,39.19,35.66,32.75,30.58,29.08,28.33 | +| curtain | 73.8,73.58,71.55,67.66,62.34,56.32,50.58,46.01,42.35,39.65,38.09 | +| chair | 54.37,54.45,53.71,51.58,48.22,43.3,37.85,33.19,29.64,27.29,25.96 | +| car | 81.51,81.58,80.99,78.86,75.22,69.25,62.79,57.07,52.39,48.84,46.89 | +| water | 56.91,57.64,57.01,55.99,54.64,53.05,51.62,50.47,49.62,49.01,48.59 | +| painting | 69.9,69.49,68.47,66.75,64.72,62.3,60.03,57.85,56.02,54.61,53.76 | +| sofa | 61.38,62.97,62.83,61.76,59.99,56.44,52.32,48.58,45.37,43.03,41.73 | +| shelf | 44.87,43.24,41.41,39.58,37.01,34.42,32.14,30.08,28.54,27.24,26.45 | +| house | 38.73,34.48,34.49,33.91,33.38,32.7,31.35,30.24,29.14,28.09,27.4 | +| sea | 59.57,59.49,59.57,58.68,57.78,56.32,54.71,53.32,52.2,51.36,50.94 | +| mirror | 63.04,62.33,61.25,59.13,56.33,53.16,49.49,45.88,42.82,40.37,38.75 | +| rug | 64.96,64.12,62.99,60.07,55.24,49.68,44.87,40.71,37.72,35.67,34.29 | +| field | 30.52,30.58,30.44,30.12,29.54,29.13,28.78,28.56,28.4,28.29,28.24 | +| armchair | 35.94,38.6,38.03,37.26,35.64,33.5,30.96,28.31,25.76,23.67,22.25 | +| seat | 65.48,66.47,66.34,64.28,61.48,58.34,55.43,52.48,50.06,47.89,46.46 | +| fence | 39.38,39.41,38.02,34.9,31.75,29.02,26.62,24.81,23.4,22.13,21.36 | +| desk | 44.84,45.53,44.77,42.95,40.61,37.54,34.5,31.93,29.93,28.3,27.38 | +| rock | 36.55,35.4,34.15,32.75,30.91,28.95,27.09,25.67,24.67,24.0,23.57 | +| wardrobe | 56.01,54.74,53.5,50.94,48.6,46.34,44.39,42.56,41.11,40.15,39.58 | +| lamp | 59.87,60.57,59.91,58.62,55.6,50.98,46.0,40.2,35.16,31.22,28.86 | +| bathtub | 71.9,71.38,70.45,67.86,63.48,58.35,53.5,48.76,45.22,42.41,40.93 | +| railing | 34.41,33.24,31.86,30.02,27.53,25.08,23.01,21.67,20.67,20.41,20.27 | +| cushion | 52.6,54.98,54.72,53.66,52.61,50.37,46.1,40.39,34.08,29.28,26.37 | +| base | 21.38,22.05,21.36,20.38,19.22,18.09,16.68,15.48,14.64,14.12,13.77 | +| box | 21.12,22.37,21.28,20.72,19.47,18.23,16.54,15.46,14.48,13.81,13.36 | +| column | 44.91,46.39,44.76,42.3,38.7,34.77,30.73,26.73,23.55,21.54,20.59 | +| signboard | 37.59,36.7,35.81,34.34,32.05,29.19,26.17,23.23,20.8,19.07,17.97 | +| chest of drawers | 36.76,35.2,34.49,33.84,32.94,31.91,30.56,29.24,28.0,26.81,26.11 | +| counter | 30.26,32.1,33.09,31.67,29.42,27.2,24.71,22.47,21.06,19.94,19.19 | +| sand | 39.14,40.21,40.39,40.01,39.45,39.09,38.53,37.94,37.42,37.03,36.72 | +| sink | 66.95,66.78,66.03,64.01,60.0,54.56,48.99,42.59,37.09,32.87,30.17 | +| skyscraper | 48.0,47.52,46.82,46.03,44.76,43.44,42.0,40.48,39.24,37.97,37.17 | +| fireplace | 72.1,70.48,69.48,68.34,67.1,65.09,61.76,57.81,54.59,52.24,50.45 | +| refrigerator | 70.81,72.81,71.33,68.63,65.53,62.33,58.74,54.98,51.81,48.93,47.1 | +| grandstand | 49.19,55.98,56.86,56.6,54.96,52.6,49.95,48.05,46.47,45.2,44.5 | +| path | 20.69,22.02,21.92,20.98,18.69,16.96,15.93,15.11,14.26,13.68,13.36 | +| stairs | 33.67,31.85,31.32,30.36,28.73,26.77,24.65,22.63,20.76,19.55,19.23 | +| runway | 65.49,64.18,63.75,62.92,62.05,61.14,60.49,59.73,59.01,58.44,57.98 | +| case | 47.27,49.27,48.3,47.15,45.19,42.76,40.87,39.65,38.69,37.99,37.19 | +| pool table | 91.49,91.32,89.33,87.42,83.7,79.15,74.39,69.76,65.57,62.13,59.84 | +| pillow | 54.79,61.89,60.83,58.38,53.69,47.3,39.88,32.07,26.01,21.66,19.54 | +| screen door | 68.85,64.05,60.82,57.33,53.34,48.72,44.82,41.28,37.84,34.98,32.87 | +| stairway | 23.53,21.79,20.87,19.94,18.69,17.1,15.67,14.82,14.13,13.7,13.34 | +| river | 11.86,11.55,11.53,11.39,11.06,10.74,10.47,10.17,9.98,9.84,9.74 | +| bridge | 33.52,29.84,29.29,27.75,25.59,23.38,21.45,19.93,18.92,18.04,17.35 | +| bookcase | 43.79,44.34,42.49,40.67,37.14,33.97,31.06,28.51,26.2,24.69,23.76 | +| blind | 35.51,34.6,34.7,34.34,33.95,33.19,32.55,32.04,31.26,30.4,29.94 | +| coffee table | 52.31,52.04,52.29,51.13,49.14,46.07,41.59,36.66,32.4,29.38,27.66 | +| toilet | 81.32,83.02,82.63,81.52,79.19,75.89,71.42,66.51,61.86,57.93,55.1 | +| flower | 39.58,37.14,35.86,34.2,30.64,26.1,21.9,18.63,16.08,14.09,13.07 | +| book | 43.83,42.76,41.77,40.59,38.52,36.19,33.76,31.63,29.88,28.81,27.99 | +| hill | 14.19,16.0,16.29,16.05,14.81,13.51,12.55,11.83,11.51,11.14,10.77 | +| bench | 39.8,41.23,40.18,38.38,36.31,34.2,32.34,30.9,29.58,28.25,27.28 | +| countertop | 51.31,52.38,52.24,51.01,47.24,41.96,36.72,32.79,29.53,26.99,25.6 | +| stove | 69.75,69.35,68.89,66.98,64.18,59.96,55.02,49.79,45.33,41.28,38.76 | +| palm | 48.86,48.52,46.01,43.5,40.47,37.54,34.2,31.28,28.25,26.38,25.2 | +| kitchen island | 40.78,38.0,38.65,38.58,38.04,37.33,35.78,33.17,30.54,28.36,26.85 | +| computer | 58.17,58.17,57.09,55.18,53.64,50.96,48.34,45.69,43.43,41.19,39.56 | +| swivel chair | 42.93,43.87,45.0,44.36,42.86,40.34,37.13,33.89,30.86,28.61,26.69 | +| boat | 70.01,74.28,72.62,70.27,65.7,60.65,56.42,52.14,49.28,46.98,45.61 | +| bar | 22.19,22.06,21.72,21.06,20.04,18.7,17.5,16.42,15.39,14.42,13.84 | +| arcade machine | 71.73,65.83,62.71,59.04,53.78,47.87,42.97,37.94,33.45,29.52,26.57 | +| hovel | 22.52,21.82,20.31,19.39,18.93,18.36,17.47,16.36,15.34,14.26,13.54 | +| bus | 75.35,80.43,80.81,78.52,75.96,72.54,69.39,66.81,64.35,62.79,61.98 | +| towel | 58.9,60.67,60.34,58.19,53.84,48.52,42.6,37.13,32.75,28.99,26.5 | +| light | 48.94,54.9,55.28,54.0,51.45,47.36,42.87,38.04,33.81,30.21,27.92 | +| truck | 17.34,17.7,16.07,15.27,13.75,12.25,11.6,10.29,8.46,7.26,6.3 | +| tower | 9.49,8.16,7.36,6.54,5.57,4.57,3.48,3.04,2.57,2.3,2.14 | +| chandelier | 63.41,65.78,65.14,61.87,57.2,52.55,46.38,40.51,35.54,31.17,28.7 | +| awning | 22.51,24.88,23.45,22.35,19.78,16.65,14.03,11.44,9.15,7.68,6.82 | +| streetlight | 22.71,24.79,25.66,24.88,22.79,20.1,17.83,15.33,12.59,10.59,9.56 | +| booth | 39.56,40.58,40.91,39.12,37.46,35.09,32.7,30.09,28.31,27.13,26.27 | +| television receiver | 62.23,62.64,61.72,59.74,57.54,54.61,51.68,48.79,45.78,42.94,40.42 | +| airplane | 55.94,56.96,55.13,52.38,48.91,44.44,39.6,35.74,32.81,30.26,28.84 | +| dirt track | 14.99,18.11,18.97,19.18,18.48,17.2,16.13,15.68,15.32,15.01,14.75 | +| apparel | 33.18,30.25,29.47,27.3,25.3,22.79,19.95,18.06,15.93,14.85,14.28 | +| pole | 15.48,16.8,15.75,14.6,13.24,10.81,8.71,7.24,6.14,5.3,4.9 | +| land | 2.6,3.82,4.22,4.6,5.29,5.83,6.15,6.54,6.68,6.79,6.89 | +| bannister | 10.08,9.78,9.21,8.79,8.01,7.28,6.75,6.13,5.57,4.9,4.63 | +| escalator | 22.36,19.21,18.56,17.68,16.21,15.37,14.43,13.68,12.89,12.29,11.81 | +| ottoman | 45.43,42.5,41.47,39.66,36.8,34.42,32.1,29.76,27.36,25.28,24.08 | +| bottle | 30.83,34.39,34.45,33.4,31.39,28.84,26.56,24.46,22.91,21.57,21.14 | +| buffet | 36.91,38.27,37.47,36.52,35.04,33.08,31.36,29.73,28.66,27.75,27.31 | +| poster | 24.37,24.22,25.12,25.3,25.63,25.69,25.71,25.77,25.67,25.14,24.47 | +| stage | 16.27,12.51,12.23,11.83,10.79,10.28,9.97,9.64,9.24,8.87,8.63 | +| van | 41.61,39.74,39.57,38.23,36.62,34.88,31.79,29.08,27.68,26.35,25.46 | +| ship | 76.88,80.68,83.63,85.25,85.46,85.44,84.59,83.03,81.42,80.01,79.8 | +| fountain | 16.07,17.85,15.96,13.51,11.56,9.64,7.58,6.05,4.8,3.85,3.25 | +| conveyer belt | 81.37,84.44,83.44,82.02,78.27,74.39,71.78,69.17,67.68,66.44,65.91 | +| canopy | 22.19,24.09,23.71,21.55,18.46,15.49,12.8,11.6,10.85,10.55,10.64 | +| washer | 75.4,71.85,69.79,66.97,64.1,60.57,58.64,56.55,54.19,52.19,51.58 | +| plaything | 19.61,22.03,22.82,22.08,20.66,18.68,16.09,14.17,12.21,10.44,9.39 | +| swimming pool | 70.17,73.48,73.55,73.76,73.46,72.45,69.33,66.65,63.52,60.19,56.87 | +| stool | 42.05,45.73,45.69,42.4,37.59,33.23,29.05,24.03,19.62,16.8,15.6 | +| barrel | 39.24,40.21,38.38,21.24,19.74,20.03,21.21,21.69,22.21,22.05,22.39 | +| basket | 22.92,24.58,25.39,24.79,23.61,21.9,19.91,17.62,15.78,13.76,12.16 | +| waterfall | 50.2,48.41,46.4,45.63,43.36,39.95,37.26,36.05,35.57,34.93,34.27 | +| tent | 93.09,94.86,92.21,87.61,83.09,78.68,73.66,68.86,64.74,60.45,56.74 | +| bag | 13.56,11.94,11.95,11.31,10.49,9.66,8.67,7.9,7.06,6.23,5.43 | +| minibike | 59.78,63.78,61.82,59.49,55.29,49.15,41.74,36.37,32.0,28.75,26.44 | +| cradle | 82.42,84.86,82.3,77.01,71.47,65.8,60.04,55.83,52.19,49.21,47.52 | +| oven | 50.71,51.63,50.02,47.9,46.96,45.27,43.22,40.9,39.19,37.65,36.09 | +| ball | 45.29,39.6,36.78,33.58,30.02,26.37,23.69,22.07,21.34,20.67,20.67 | +| food | 49.42,57.17,55.63,53.04,49.4,46.12,42.41,39.38,37.26,35.4,34.01 | +| step | 4.72,8.04,8.33,7.12,6.62,5.63,4.82,4.01,3.27,3.2,3.18 | +| tank | 52.87,56.05,54.96,52.0,49.11,46.42,44.34,42.58,41.4,39.94,38.99 | +| trade name | 29.07,31.8,30.98,28.7,24.81,19.57,14.95,10.96,8.25,6.56,5.68 | +| microwave | 78.21,79.12,78.16,76.6,75.11,72.76,69.03,65.05,62.1,59.49,57.48 | +| pot | 32.18,29.55,29.2,27.42,25.21,22.02,18.3,14.79,11.79,9.95,8.9 | +| animal | 53.96,50.87,49.65,48.06,46.57,44.43,41.44,38.41,35.5,33.22,31.63 | +| bicycle | 47.87,48.71,48.01,46.26,43.23,38.26,33.28,27.53,24.29,22.69,21.94 | +| lake | 55.88,55.99,56.15,56.13,56.12,55.62,55.31,55.13,54.92,54.68,54.54 | +| dishwasher | 68.13,67.2,65.86,64.08,61.93,59.28,56.42,52.91,49.59,46.35,44.11 | +| screen | 67.49,68.95,70.95,71.24,69.8,68.3,67.38,66.34,65.93,65.57,65.46 | +| blanket | 14.34,17.84,16.76,15.27,12.87,11.13,9.5,8.66,8.11,7.57,7.4 | +| sculpture | 58.5,59.28,59.89,56.36,51.08,45.35,41.77,38.93,37.53,36.72,36.29 | +| hood | 58.8,58.75,59.44,57.2,54.43,51.46,48.49,43.44,40.62,37.33,35.47 | +| sconce | 40.56,39.12,39.19,37.02,35.34,31.65,27.15,22.75,19.34,16.2,14.65 | +| vase | 34.86,35.49,34.13,31.8,28.29,26.41,23.06,20.23,17.63,15.42,13.92 | +| traffic light | 29.64,31.66,31.45,31.14,28.05,25.33,22.89,19.12,15.78,15.21,14.36 | +| tray | 4.32,3.52,4.14,3.93,3.97,3.66,3.19,2.6,1.77,1.22,1.11 | +| ashcan | 37.98,39.27,40.81,39.5,37.23,34.41,31.76,28.87,26.48,24.47,23.14 | +| fan | 52.62,56.23,58.34,58.78,55.47,48.95,43.7,38.29,33.19,29.29,26.7 | +| pier | 36.34,34.24,37.88,39.18,38.73,36.45,35.72,32.57,30.47,29.8,30.01 | +| crt screen | 9.02,11.06,12.28,12.92,13.12,12.97,12.64,12.2,10.9,10.08,9.53 | +| plate | 45.4,50.32,49.71,49.34,46.73,42.64,37.73,32.02,27.14,22.87,20.88 | +| monitor | 15.72,7.1,7.39,7.35,6.92,6.63,6.23,5.59,5.11,4.35,3.91 | +| bulletin board | 39.38,38.07,37.75,35.26,30.04,25.99,22.6,18.78,15.83,13.86,12.73 | +| shower | 1.05,0.26,0.02,0.0,0.0,0.01,0.0,0.12,0.17,0.32,0.62 | +| radiator | 57.21,54.32,51.88,46.36,38.45,30.04,24.02,18.77,14.92,12.4,10.62 | +| glass | 10.87,12.47,13.5,13.36,12.44,11.34,9.71,7.57,6.1,5.0,4.49 | +| clock | 32.2,30.77,29.97,27.19,24.14,19.84,17.1,13.75,10.99,9.27,8.5 | +| flag | 31.92,29.02,27.4,26.88,24.73,23.53,22.33,20.23,18.02,16.67,15.8 | ++---------------------+-------------------------------------------------------------------+ +2023-03-04 05:57:47,513 - mmseg - INFO - Summary: +2023-03-04 05:57:47,513 - mmseg - INFO - ++-------------------------------------------------------------------+ +| mIoU 0,10,20,30,40,50,60,70,80,90,99 | ++-------------------------------------------------------------------+ +| 46.99,47.25,46.58,44.86,42.43,39.57,36.71,34.01,31.78,30.04,28.95 | ++-------------------------------------------------------------------+ +2023-03-04 05:57:47,513 - mmseg - INFO - Exp name: ablation_segformer_mit_b2_segformer_head_unet_fc_small_multi_step_ade_pretrained_freeze_embed_160k_ade20k151_finetune_ema_wgt.py +2023-03-04 05:57:47,513 - mmseg - INFO - Iter(val) [250] mIoU: [0.4699, 0.4725, 0.4658, 0.4486, 0.4243, 0.3957, 0.3671, 0.3401, 0.3178, 0.3004, 0.2895], copy_paste: 46.99,47.25,46.58,44.86,42.43,39.57,36.71,34.01,31.78,30.04,28.95 +2023-03-04 05:57:47,523 - mmseg - INFO - Swap parameters (before train) before iter [80001] +2023-03-04 05:57:56,033 - mmseg - INFO - Iter [80050/160000] lr: 9.375e-06, eta: 4:45:32, time: 13.198, data_time: 13.036, memory: 52541, decode.loss_ce: 0.0454, decode.acc_seg: 98.0496, loss: 0.0454 +2023-03-04 05:58:04,291 - mmseg - INFO - Iter [80100/160000] lr: 9.375e-06, eta: 4:45:19, time: 0.165, data_time: 0.008, memory: 52541, decode.loss_ce: 0.0432, decode.acc_seg: 98.1178, loss: 0.0432 +2023-03-04 05:58:15,077 - mmseg - INFO - Iter [80150/160000] lr: 9.375e-06, eta: 4:45:08, time: 0.216, data_time: 0.054, memory: 52541, decode.loss_ce: 0.0454, decode.acc_seg: 98.0759, loss: 0.0454 +2023-03-04 05:58:23,758 - mmseg - INFO - Iter [80200/160000] lr: 9.375e-06, eta: 4:44:56, time: 0.173, data_time: 0.007, memory: 52541, decode.loss_ce: 0.0476, decode.acc_seg: 97.9766, loss: 0.0476 +2023-03-04 05:58:32,357 - mmseg - INFO - Iter [80250/160000] lr: 9.375e-06, eta: 4:44:43, time: 0.172, data_time: 0.007, memory: 52541, decode.loss_ce: 0.0440, decode.acc_seg: 98.0776, loss: 0.0440 +2023-03-04 05:58:40,630 - mmseg - INFO - Iter [80300/160000] lr: 9.375e-06, eta: 4:44:30, time: 0.165, data_time: 0.008, memory: 52541, decode.loss_ce: 0.0425, decode.acc_seg: 98.1611, loss: 0.0425 +2023-03-04 05:58:49,137 - mmseg - INFO - Iter [80350/160000] lr: 9.375e-06, eta: 4:44:17, time: 0.170, data_time: 0.008, memory: 52541, decode.loss_ce: 0.0438, decode.acc_seg: 98.1092, loss: 0.0438 +2023-03-04 05:58:57,347 - mmseg - INFO - Iter [80400/160000] lr: 9.375e-06, eta: 4:44:04, time: 0.164, data_time: 0.007, memory: 52541, decode.loss_ce: 0.0422, decode.acc_seg: 98.1691, loss: 0.0422 +2023-03-04 05:59:05,565 - mmseg - INFO - Iter [80450/160000] lr: 9.375e-06, eta: 4:43:51, time: 0.164, data_time: 0.008, memory: 52541, decode.loss_ce: 0.0433, decode.acc_seg: 98.1326, loss: 0.0433 +2023-03-04 05:59:13,788 - mmseg - INFO - Iter [80500/160000] lr: 9.375e-06, eta: 4:43:37, time: 0.164, data_time: 0.008, memory: 52541, decode.loss_ce: 0.0431, decode.acc_seg: 98.0951, loss: 0.0431 +2023-03-04 05:59:21,987 - mmseg - INFO - Iter [80550/160000] lr: 9.375e-06, eta: 4:43:24, time: 0.164, data_time: 0.008, memory: 52541, decode.loss_ce: 0.0441, decode.acc_seg: 98.0991, loss: 0.0441 +2023-03-04 05:59:30,493 - mmseg - INFO - Iter [80600/160000] lr: 9.375e-06, eta: 4:43:11, time: 0.170, data_time: 0.008, memory: 52541, decode.loss_ce: 0.0435, decode.acc_seg: 98.1062, loss: 0.0435 +2023-03-04 05:59:38,631 - mmseg - INFO - Iter [80650/160000] lr: 9.375e-06, eta: 4:42:58, time: 0.163, data_time: 0.008, memory: 52541, decode.loss_ce: 0.0429, decode.acc_seg: 98.0919, loss: 0.0429 +2023-03-04 05:59:46,937 - mmseg - INFO - Iter [80700/160000] lr: 9.375e-06, eta: 4:42:45, time: 0.166, data_time: 0.008, memory: 52541, decode.loss_ce: 0.0431, decode.acc_seg: 98.1058, loss: 0.0431 +2023-03-04 05:59:55,283 - mmseg - INFO - Iter [80750/160000] lr: 9.375e-06, eta: 4:42:32, time: 0.167, data_time: 0.008, memory: 52541, decode.loss_ce: 0.0424, decode.acc_seg: 98.1756, loss: 0.0424 +2023-03-04 06:00:06,241 - mmseg - INFO - Iter [80800/160000] lr: 9.375e-06, eta: 4:42:22, time: 0.219, data_time: 0.054, memory: 52541, decode.loss_ce: 0.0421, decode.acc_seg: 98.1717, loss: 0.0421 +2023-03-04 06:00:14,502 - mmseg - INFO - Iter [80850/160000] lr: 9.375e-06, eta: 4:42:09, time: 0.165, data_time: 0.007, memory: 52541, decode.loss_ce: 0.0426, decode.acc_seg: 98.1473, loss: 0.0426 +2023-03-04 06:00:22,791 - mmseg - INFO - Iter [80900/160000] lr: 9.375e-06, eta: 4:41:55, time: 0.166, data_time: 0.007, memory: 52541, decode.loss_ce: 0.0436, decode.acc_seg: 98.1161, loss: 0.0436 +2023-03-04 06:00:31,209 - mmseg - INFO - Iter [80950/160000] lr: 9.375e-06, eta: 4:41:43, time: 0.168, data_time: 0.007, memory: 52541, decode.loss_ce: 0.0402, decode.acc_seg: 98.2282, loss: 0.0402 +2023-03-04 06:00:39,327 - mmseg - INFO - Exp name: ablation_segformer_mit_b2_segformer_head_unet_fc_small_multi_step_ade_pretrained_freeze_embed_160k_ade20k151_finetune_ema_wgt.py +2023-03-04 06:00:39,327 - mmseg - INFO - Iter [81000/160000] lr: 9.375e-06, eta: 4:41:29, time: 0.162, data_time: 0.007, memory: 52541, decode.loss_ce: 0.0413, decode.acc_seg: 98.1906, loss: 0.0413 +2023-03-04 06:00:47,739 - mmseg - INFO - Iter [81050/160000] lr: 9.375e-06, eta: 4:41:16, time: 0.168, data_time: 0.007, memory: 52541, decode.loss_ce: 0.0411, decode.acc_seg: 98.1732, loss: 0.0411 +2023-03-04 06:00:56,046 - mmseg - INFO - Iter [81100/160000] lr: 9.375e-06, eta: 4:41:03, time: 0.166, data_time: 0.008, memory: 52541, decode.loss_ce: 0.0431, decode.acc_seg: 98.1431, loss: 0.0431 +2023-03-04 06:01:04,215 - mmseg - INFO - Iter [81150/160000] lr: 9.375e-06, eta: 4:40:50, time: 0.163, data_time: 0.008, memory: 52541, decode.loss_ce: 0.0443, decode.acc_seg: 98.1028, loss: 0.0443 +2023-03-04 06:01:12,327 - mmseg - INFO - Iter [81200/160000] lr: 9.375e-06, eta: 4:40:37, time: 0.162, data_time: 0.007, memory: 52541, decode.loss_ce: 0.0446, decode.acc_seg: 98.0794, loss: 0.0446 +2023-03-04 06:01:20,890 - mmseg - INFO - Iter [81250/160000] lr: 9.375e-06, eta: 4:40:24, time: 0.171, data_time: 0.008, memory: 52541, decode.loss_ce: 0.0465, decode.acc_seg: 97.9808, loss: 0.0465 +2023-03-04 06:01:29,348 - mmseg - INFO - Iter [81300/160000] lr: 9.375e-06, eta: 4:40:12, time: 0.169, data_time: 0.007, memory: 52541, decode.loss_ce: 0.0489, decode.acc_seg: 98.0033, loss: 0.0489 +2023-03-04 06:01:38,077 - mmseg - INFO - Iter [81350/160000] lr: 9.375e-06, eta: 4:39:59, time: 0.175, data_time: 0.007, memory: 52541, decode.loss_ce: 0.0435, decode.acc_seg: 98.0908, loss: 0.0435 +2023-03-04 06:01:49,089 - mmseg - INFO - Iter [81400/160000] lr: 9.375e-06, eta: 4:39:49, time: 0.220, data_time: 0.055, memory: 52541, decode.loss_ce: 0.0426, decode.acc_seg: 98.1721, loss: 0.0426 +2023-03-04 06:01:57,652 - mmseg - INFO - Iter [81450/160000] lr: 9.375e-06, eta: 4:39:36, time: 0.171, data_time: 0.008, memory: 52541, decode.loss_ce: 0.0438, decode.acc_seg: 98.1284, loss: 0.0438 +2023-03-04 06:02:05,994 - mmseg - INFO - Iter [81500/160000] lr: 9.375e-06, eta: 4:39:23, time: 0.167, data_time: 0.008, memory: 52541, decode.loss_ce: 0.0454, decode.acc_seg: 98.0363, loss: 0.0454 +2023-03-04 06:02:14,671 - mmseg - INFO - Iter [81550/160000] lr: 9.375e-06, eta: 4:39:10, time: 0.174, data_time: 0.007, memory: 52541, decode.loss_ce: 0.0457, decode.acc_seg: 98.0375, loss: 0.0457 +2023-03-04 06:02:23,207 - mmseg - INFO - Iter [81600/160000] lr: 9.375e-06, eta: 4:38:58, time: 0.171, data_time: 0.007, memory: 52541, decode.loss_ce: 0.0464, decode.acc_seg: 97.9743, loss: 0.0464 +2023-03-04 06:02:31,740 - mmseg - INFO - Iter [81650/160000] lr: 9.375e-06, eta: 4:38:45, time: 0.171, data_time: 0.008, memory: 52541, decode.loss_ce: 0.0430, decode.acc_seg: 98.1659, loss: 0.0430 +2023-03-04 06:02:40,148 - mmseg - INFO - Iter [81700/160000] lr: 9.375e-06, eta: 4:38:32, time: 0.168, data_time: 0.007, memory: 52541, decode.loss_ce: 0.0445, decode.acc_seg: 98.0902, loss: 0.0445 +2023-03-04 06:02:48,335 - mmseg - INFO - Iter [81750/160000] lr: 9.375e-06, eta: 4:38:19, time: 0.164, data_time: 0.007, memory: 52541, decode.loss_ce: 0.0428, decode.acc_seg: 98.1295, loss: 0.0428 +2023-03-04 06:02:56,690 - mmseg - INFO - Iter [81800/160000] lr: 9.375e-06, eta: 4:38:06, time: 0.167, data_time: 0.008, memory: 52541, decode.loss_ce: 0.0441, decode.acc_seg: 98.0645, loss: 0.0441 +2023-03-04 06:03:04,983 - mmseg - INFO - Iter [81850/160000] lr: 9.375e-06, eta: 4:37:53, time: 0.166, data_time: 0.007, memory: 52541, decode.loss_ce: 0.0429, decode.acc_seg: 98.1037, loss: 0.0429 +2023-03-04 06:03:13,761 - mmseg - INFO - Iter [81900/160000] lr: 9.375e-06, eta: 4:37:41, time: 0.176, data_time: 0.008, memory: 52541, decode.loss_ce: 0.0423, decode.acc_seg: 98.1584, loss: 0.0423 +2023-03-04 06:03:22,230 - mmseg - INFO - Iter [81950/160000] lr: 9.375e-06, eta: 4:37:28, time: 0.169, data_time: 0.007, memory: 52541, decode.loss_ce: 0.0446, decode.acc_seg: 98.0834, loss: 0.0446 +2023-03-04 06:03:30,572 - mmseg - INFO - Exp name: ablation_segformer_mit_b2_segformer_head_unet_fc_small_multi_step_ade_pretrained_freeze_embed_160k_ade20k151_finetune_ema_wgt.py +2023-03-04 06:03:30,572 - mmseg - INFO - Iter [82000/160000] lr: 9.375e-06, eta: 4:37:15, time: 0.167, data_time: 0.008, memory: 52541, decode.loss_ce: 0.0434, decode.acc_seg: 98.1254, loss: 0.0434 +2023-03-04 06:03:41,300 - mmseg - INFO - Iter [82050/160000] lr: 9.375e-06, eta: 4:37:04, time: 0.215, data_time: 0.056, memory: 52541, decode.loss_ce: 0.0438, decode.acc_seg: 98.0849, loss: 0.0438 +2023-03-04 06:03:49,668 - mmseg - INFO - Iter [82100/160000] lr: 9.375e-06, eta: 4:36:52, time: 0.167, data_time: 0.007, memory: 52541, decode.loss_ce: 0.0421, decode.acc_seg: 98.1658, loss: 0.0421 +2023-03-04 06:03:58,300 - mmseg - INFO - Iter [82150/160000] lr: 9.375e-06, eta: 4:36:39, time: 0.173, data_time: 0.007, memory: 52541, decode.loss_ce: 0.0427, decode.acc_seg: 98.1282, loss: 0.0427 +2023-03-04 06:04:06,636 - mmseg - INFO - Iter [82200/160000] lr: 9.375e-06, eta: 4:36:26, time: 0.167, data_time: 0.007, memory: 52541, decode.loss_ce: 0.0414, decode.acc_seg: 98.2027, loss: 0.0414 +2023-03-04 06:04:14,931 - mmseg - INFO - Iter [82250/160000] lr: 9.375e-06, eta: 4:36:13, time: 0.166, data_time: 0.007, memory: 52541, decode.loss_ce: 0.0464, decode.acc_seg: 98.0019, loss: 0.0464 +2023-03-04 06:04:23,246 - mmseg - INFO - Iter [82300/160000] lr: 9.375e-06, eta: 4:36:00, time: 0.167, data_time: 0.008, memory: 52541, decode.loss_ce: 0.0412, decode.acc_seg: 98.1983, loss: 0.0412 +2023-03-04 06:04:31,695 - mmseg - INFO - Iter [82350/160000] lr: 9.375e-06, eta: 4:35:48, time: 0.169, data_time: 0.008, memory: 52541, decode.loss_ce: 0.0426, decode.acc_seg: 98.1389, loss: 0.0426 +2023-03-04 06:04:40,137 - mmseg - INFO - Iter [82400/160000] lr: 9.375e-06, eta: 4:35:35, time: 0.169, data_time: 0.008, memory: 52541, decode.loss_ce: 0.0431, decode.acc_seg: 98.1265, loss: 0.0431 +2023-03-04 06:04:48,222 - mmseg - INFO - Iter [82450/160000] lr: 9.375e-06, eta: 4:35:22, time: 0.162, data_time: 0.007, memory: 52541, decode.loss_ce: 0.0438, decode.acc_seg: 98.0800, loss: 0.0438 +2023-03-04 06:04:56,458 - mmseg - INFO - Iter [82500/160000] lr: 9.375e-06, eta: 4:35:09, time: 0.165, data_time: 0.007, memory: 52541, decode.loss_ce: 0.0439, decode.acc_seg: 98.1006, loss: 0.0439 +2023-03-04 06:05:04,844 - mmseg - INFO - Iter [82550/160000] lr: 9.375e-06, eta: 4:34:56, time: 0.168, data_time: 0.008, memory: 52541, decode.loss_ce: 0.0403, decode.acc_seg: 98.2134, loss: 0.0403 +2023-03-04 06:05:13,591 - mmseg - INFO - Iter [82600/160000] lr: 9.375e-06, eta: 4:34:44, time: 0.175, data_time: 0.007, memory: 52541, decode.loss_ce: 0.0432, decode.acc_seg: 98.0961, loss: 0.0432 +2023-03-04 06:05:21,882 - mmseg - INFO - Iter [82650/160000] lr: 9.375e-06, eta: 4:34:31, time: 0.166, data_time: 0.008, memory: 52541, decode.loss_ce: 0.0430, decode.acc_seg: 98.1395, loss: 0.0430 +2023-03-04 06:05:32,581 - mmseg - INFO - Iter [82700/160000] lr: 9.375e-06, eta: 4:34:20, time: 0.214, data_time: 0.055, memory: 52541, decode.loss_ce: 0.0421, decode.acc_seg: 98.1637, loss: 0.0421 +2023-03-04 06:05:41,398 - mmseg - INFO - Iter [82750/160000] lr: 9.375e-06, eta: 4:34:08, time: 0.176, data_time: 0.008, memory: 52541, decode.loss_ce: 0.0437, decode.acc_seg: 98.0637, loss: 0.0437 +2023-03-04 06:05:49,983 - mmseg - INFO - Iter [82800/160000] lr: 9.375e-06, eta: 4:33:55, time: 0.172, data_time: 0.008, memory: 52541, decode.loss_ce: 0.0443, decode.acc_seg: 98.0885, loss: 0.0443 +2023-03-04 06:05:58,594 - mmseg - INFO - Iter [82850/160000] lr: 9.375e-06, eta: 4:33:43, time: 0.172, data_time: 0.007, memory: 52541, decode.loss_ce: 0.0458, decode.acc_seg: 98.0387, loss: 0.0458 +2023-03-04 06:06:07,160 - mmseg - INFO - Iter [82900/160000] lr: 9.375e-06, eta: 4:33:30, time: 0.171, data_time: 0.008, memory: 52541, decode.loss_ce: 0.0423, decode.acc_seg: 98.1575, loss: 0.0423 +2023-03-04 06:06:15,722 - mmseg - INFO - Iter [82950/160000] lr: 9.375e-06, eta: 4:33:18, time: 0.171, data_time: 0.008, memory: 52541, decode.loss_ce: 0.0444, decode.acc_seg: 98.0764, loss: 0.0444 +2023-03-04 06:06:23,992 - mmseg - INFO - Exp name: ablation_segformer_mit_b2_segformer_head_unet_fc_small_multi_step_ade_pretrained_freeze_embed_160k_ade20k151_finetune_ema_wgt.py +2023-03-04 06:06:23,992 - mmseg - INFO - Iter [83000/160000] lr: 9.375e-06, eta: 4:33:05, time: 0.166, data_time: 0.008, memory: 52541, decode.loss_ce: 0.0430, decode.acc_seg: 98.1412, loss: 0.0430 +2023-03-04 06:06:32,316 - mmseg - INFO - Iter [83050/160000] lr: 9.375e-06, eta: 4:32:52, time: 0.166, data_time: 0.007, memory: 52541, decode.loss_ce: 0.0447, decode.acc_seg: 98.0232, loss: 0.0447 +2023-03-04 06:06:41,089 - mmseg - INFO - Iter [83100/160000] lr: 9.375e-06, eta: 4:32:40, time: 0.175, data_time: 0.007, memory: 52541, decode.loss_ce: 0.0432, decode.acc_seg: 98.1232, loss: 0.0432 +2023-03-04 06:06:49,231 - mmseg - INFO - Iter [83150/160000] lr: 9.375e-06, eta: 4:32:27, time: 0.163, data_time: 0.008, memory: 52541, decode.loss_ce: 0.0425, decode.acc_seg: 98.1431, loss: 0.0425 +2023-03-04 06:06:57,365 - mmseg - INFO - Iter [83200/160000] lr: 9.375e-06, eta: 4:32:14, time: 0.162, data_time: 0.007, memory: 52541, decode.loss_ce: 0.0412, decode.acc_seg: 98.1844, loss: 0.0412 +2023-03-04 06:07:05,667 - mmseg - INFO - Iter [83250/160000] lr: 9.375e-06, eta: 4:32:01, time: 0.166, data_time: 0.008, memory: 52541, decode.loss_ce: 0.0436, decode.acc_seg: 98.1292, loss: 0.0436 +2023-03-04 06:07:16,445 - mmseg - INFO - Iter [83300/160000] lr: 9.375e-06, eta: 4:31:50, time: 0.216, data_time: 0.054, memory: 52541, decode.loss_ce: 0.0401, decode.acc_seg: 98.2513, loss: 0.0401 +2023-03-04 06:07:24,994 - mmseg - INFO - Iter [83350/160000] lr: 9.375e-06, eta: 4:31:38, time: 0.171, data_time: 0.007, memory: 52541, decode.loss_ce: 0.0421, decode.acc_seg: 98.1625, loss: 0.0421 +2023-03-04 06:07:33,228 - mmseg - INFO - Iter [83400/160000] lr: 9.375e-06, eta: 4:31:25, time: 0.165, data_time: 0.008, memory: 52541, decode.loss_ce: 0.0418, decode.acc_seg: 98.1822, loss: 0.0418 +2023-03-04 06:07:41,522 - mmseg - INFO - Iter [83450/160000] lr: 9.375e-06, eta: 4:31:12, time: 0.166, data_time: 0.008, memory: 52541, decode.loss_ce: 0.0435, decode.acc_seg: 98.0982, loss: 0.0435 +2023-03-04 06:07:49,764 - mmseg - INFO - Iter [83500/160000] lr: 9.375e-06, eta: 4:31:00, time: 0.165, data_time: 0.007, memory: 52541, decode.loss_ce: 0.0434, decode.acc_seg: 98.1257, loss: 0.0434 +2023-03-04 06:07:57,907 - mmseg - INFO - Iter [83550/160000] lr: 9.375e-06, eta: 4:30:47, time: 0.163, data_time: 0.008, memory: 52541, decode.loss_ce: 0.0427, decode.acc_seg: 98.1429, loss: 0.0427 +2023-03-04 06:08:05,967 - mmseg - INFO - Iter [83600/160000] lr: 9.375e-06, eta: 4:30:34, time: 0.161, data_time: 0.008, memory: 52541, decode.loss_ce: 0.0439, decode.acc_seg: 98.1100, loss: 0.0439 +2023-03-04 06:08:14,417 - mmseg - INFO - Iter [83650/160000] lr: 9.375e-06, eta: 4:30:21, time: 0.169, data_time: 0.008, memory: 52541, decode.loss_ce: 0.0434, decode.acc_seg: 98.1022, loss: 0.0434 +2023-03-04 06:08:23,050 - mmseg - INFO - Iter [83700/160000] lr: 9.375e-06, eta: 4:30:09, time: 0.173, data_time: 0.007, memory: 52541, decode.loss_ce: 0.0425, decode.acc_seg: 98.1395, loss: 0.0425 +2023-03-04 06:08:31,433 - mmseg - INFO - Iter [83750/160000] lr: 9.375e-06, eta: 4:29:56, time: 0.168, data_time: 0.008, memory: 52541, decode.loss_ce: 0.0440, decode.acc_seg: 98.1092, loss: 0.0440 +2023-03-04 06:08:40,214 - mmseg - INFO - Iter [83800/160000] lr: 9.375e-06, eta: 4:29:44, time: 0.176, data_time: 0.007, memory: 52541, decode.loss_ce: 0.0444, decode.acc_seg: 98.0704, loss: 0.0444 +2023-03-04 06:08:48,581 - mmseg - INFO - Iter [83850/160000] lr: 9.375e-06, eta: 4:29:31, time: 0.167, data_time: 0.007, memory: 52541, decode.loss_ce: 0.0454, decode.acc_seg: 98.0600, loss: 0.0454 +2023-03-04 06:08:56,636 - mmseg - INFO - Iter [83900/160000] lr: 9.375e-06, eta: 4:29:18, time: 0.161, data_time: 0.007, memory: 52541, decode.loss_ce: 0.0483, decode.acc_seg: 97.9643, loss: 0.0483 +2023-03-04 06:09:07,554 - mmseg - INFO - Iter [83950/160000] lr: 9.375e-06, eta: 4:29:08, time: 0.218, data_time: 0.053, memory: 52541, decode.loss_ce: 0.0449, decode.acc_seg: 98.0435, loss: 0.0449 +2023-03-04 06:09:16,400 - mmseg - INFO - Exp name: ablation_segformer_mit_b2_segformer_head_unet_fc_small_multi_step_ade_pretrained_freeze_embed_160k_ade20k151_finetune_ema_wgt.py +2023-03-04 06:09:16,400 - mmseg - INFO - Iter [84000/160000] lr: 9.375e-06, eta: 4:28:55, time: 0.177, data_time: 0.007, memory: 52541, decode.loss_ce: 0.0425, decode.acc_seg: 98.1411, loss: 0.0425 +2023-03-04 06:09:24,980 - mmseg - INFO - Iter [84050/160000] lr: 9.375e-06, eta: 4:28:43, time: 0.172, data_time: 0.007, memory: 52541, decode.loss_ce: 0.0438, decode.acc_seg: 98.0792, loss: 0.0438 +2023-03-04 06:09:33,312 - mmseg - INFO - Iter [84100/160000] lr: 9.375e-06, eta: 4:28:30, time: 0.166, data_time: 0.008, memory: 52541, decode.loss_ce: 0.0420, decode.acc_seg: 98.1834, loss: 0.0420 +2023-03-04 06:09:41,767 - mmseg - INFO - Iter [84150/160000] lr: 9.375e-06, eta: 4:28:18, time: 0.169, data_time: 0.008, memory: 52541, decode.loss_ce: 0.0422, decode.acc_seg: 98.1297, loss: 0.0422 +2023-03-04 06:09:50,415 - mmseg - INFO - Iter [84200/160000] lr: 9.375e-06, eta: 4:28:05, time: 0.173, data_time: 0.007, memory: 52541, decode.loss_ce: 0.0423, decode.acc_seg: 98.1239, loss: 0.0423 +2023-03-04 06:09:59,203 - mmseg - INFO - Iter [84250/160000] lr: 9.375e-06, eta: 4:27:53, time: 0.176, data_time: 0.007, memory: 52541, decode.loss_ce: 0.0419, decode.acc_seg: 98.1804, loss: 0.0419 +2023-03-04 06:10:07,901 - mmseg - INFO - Iter [84300/160000] lr: 9.375e-06, eta: 4:27:41, time: 0.174, data_time: 0.007, memory: 52541, decode.loss_ce: 0.0435, decode.acc_seg: 98.1049, loss: 0.0435 +2023-03-04 06:10:16,220 - mmseg - INFO - Iter [84350/160000] lr: 9.375e-06, eta: 4:27:28, time: 0.166, data_time: 0.008, memory: 52541, decode.loss_ce: 0.0412, decode.acc_seg: 98.2150, loss: 0.0412 +2023-03-04 06:10:24,438 - mmseg - INFO - Iter [84400/160000] lr: 9.375e-06, eta: 4:27:15, time: 0.164, data_time: 0.007, memory: 52541, decode.loss_ce: 0.0458, decode.acc_seg: 98.0244, loss: 0.0458 +2023-03-04 06:10:32,672 - mmseg - INFO - Iter [84450/160000] lr: 9.375e-06, eta: 4:27:03, time: 0.165, data_time: 0.007, memory: 52541, decode.loss_ce: 0.0431, decode.acc_seg: 98.1259, loss: 0.0431 +2023-03-04 06:10:41,219 - mmseg - INFO - Iter [84500/160000] lr: 9.375e-06, eta: 4:26:50, time: 0.171, data_time: 0.008, memory: 52541, decode.loss_ce: 0.0429, decode.acc_seg: 98.1250, loss: 0.0429 +2023-03-04 06:10:49,407 - mmseg - INFO - Iter [84550/160000] lr: 9.375e-06, eta: 4:26:37, time: 0.164, data_time: 0.007, memory: 52541, decode.loss_ce: 0.0453, decode.acc_seg: 98.0323, loss: 0.0453 +2023-03-04 06:11:00,114 - mmseg - INFO - Iter [84600/160000] lr: 9.375e-06, eta: 4:26:27, time: 0.214, data_time: 0.054, memory: 52541, decode.loss_ce: 0.0439, decode.acc_seg: 98.0842, loss: 0.0439 +2023-03-04 06:11:08,470 - mmseg - INFO - Iter [84650/160000] lr: 9.375e-06, eta: 4:26:14, time: 0.167, data_time: 0.008, memory: 52541, decode.loss_ce: 0.0414, decode.acc_seg: 98.1679, loss: 0.0414 +2023-03-04 06:11:16,827 - mmseg - INFO - Iter [84700/160000] lr: 9.375e-06, eta: 4:26:02, time: 0.167, data_time: 0.007, memory: 52541, decode.loss_ce: 0.0449, decode.acc_seg: 98.0442, loss: 0.0449 +2023-03-04 06:11:25,076 - mmseg - INFO - Iter [84750/160000] lr: 9.375e-06, eta: 4:25:49, time: 0.165, data_time: 0.008, memory: 52541, decode.loss_ce: 0.0424, decode.acc_seg: 98.1527, loss: 0.0424 +2023-03-04 06:11:33,949 - mmseg - INFO - Iter [84800/160000] lr: 9.375e-06, eta: 4:25:37, time: 0.177, data_time: 0.006, memory: 52541, decode.loss_ce: 0.0452, decode.acc_seg: 98.0492, loss: 0.0452 +2023-03-04 06:11:42,035 - mmseg - INFO - Iter [84850/160000] lr: 9.375e-06, eta: 4:25:24, time: 0.162, data_time: 0.008, memory: 52541, decode.loss_ce: 0.0427, decode.acc_seg: 98.1163, loss: 0.0427 +2023-03-04 06:11:50,082 - mmseg - INFO - Iter [84900/160000] lr: 9.375e-06, eta: 4:25:11, time: 0.161, data_time: 0.008, memory: 52541, decode.loss_ce: 0.0424, decode.acc_seg: 98.1119, loss: 0.0424 +2023-03-04 06:11:58,155 - mmseg - INFO - Iter [84950/160000] lr: 9.375e-06, eta: 4:24:58, time: 0.161, data_time: 0.007, memory: 52541, decode.loss_ce: 0.0425, decode.acc_seg: 98.1500, loss: 0.0425 +2023-03-04 06:12:06,647 - mmseg - INFO - Exp name: ablation_segformer_mit_b2_segformer_head_unet_fc_small_multi_step_ade_pretrained_freeze_embed_160k_ade20k151_finetune_ema_wgt.py +2023-03-04 06:12:06,647 - mmseg - INFO - Iter [85000/160000] lr: 9.375e-06, eta: 4:24:46, time: 0.170, data_time: 0.007, memory: 52541, decode.loss_ce: 0.0449, decode.acc_seg: 98.0873, loss: 0.0449 +2023-03-04 06:12:15,119 - mmseg - INFO - Iter [85050/160000] lr: 9.375e-06, eta: 4:24:34, time: 0.169, data_time: 0.007, memory: 52541, decode.loss_ce: 0.0419, decode.acc_seg: 98.1498, loss: 0.0419 +2023-03-04 06:12:23,647 - mmseg - INFO - Iter [85100/160000] lr: 9.375e-06, eta: 4:24:21, time: 0.171, data_time: 0.007, memory: 52541, decode.loss_ce: 0.0423, decode.acc_seg: 98.1745, loss: 0.0423 +2023-03-04 06:12:32,217 - mmseg - INFO - Iter [85150/160000] lr: 9.375e-06, eta: 4:24:09, time: 0.171, data_time: 0.008, memory: 52541, decode.loss_ce: 0.0405, decode.acc_seg: 98.2177, loss: 0.0405 +2023-03-04 06:12:42,815 - mmseg - INFO - Iter [85200/160000] lr: 9.375e-06, eta: 4:23:58, time: 0.212, data_time: 0.054, memory: 52541, decode.loss_ce: 0.0445, decode.acc_seg: 98.0870, loss: 0.0445 +2023-03-04 06:12:51,401 - mmseg - INFO - Iter [85250/160000] lr: 9.375e-06, eta: 4:23:46, time: 0.172, data_time: 0.008, memory: 52541, decode.loss_ce: 0.0407, decode.acc_seg: 98.2000, loss: 0.0407 +2023-03-04 06:12:59,726 - mmseg - INFO - Iter [85300/160000] lr: 9.375e-06, eta: 4:23:33, time: 0.166, data_time: 0.007, memory: 52541, decode.loss_ce: 0.0421, decode.acc_seg: 98.1666, loss: 0.0421 +2023-03-04 06:13:07,867 - mmseg - INFO - Iter [85350/160000] lr: 9.375e-06, eta: 4:23:21, time: 0.163, data_time: 0.008, memory: 52541, decode.loss_ce: 0.0420, decode.acc_seg: 98.1702, loss: 0.0420 +2023-03-04 06:13:16,428 - mmseg - INFO - Iter [85400/160000] lr: 9.375e-06, eta: 4:23:08, time: 0.171, data_time: 0.007, memory: 52541, decode.loss_ce: 0.0457, decode.acc_seg: 98.0290, loss: 0.0457 +2023-03-04 06:13:25,031 - mmseg - INFO - Iter [85450/160000] lr: 9.375e-06, eta: 4:22:56, time: 0.172, data_time: 0.008, memory: 52541, decode.loss_ce: 0.0435, decode.acc_seg: 98.1145, loss: 0.0435 +2023-03-04 06:13:33,522 - mmseg - INFO - Iter [85500/160000] lr: 9.375e-06, eta: 4:22:44, time: 0.170, data_time: 0.009, memory: 52541, decode.loss_ce: 0.0399, decode.acc_seg: 98.2493, loss: 0.0399 +2023-03-04 06:13:42,205 - mmseg - INFO - Iter [85550/160000] lr: 9.375e-06, eta: 4:22:31, time: 0.174, data_time: 0.008, memory: 52541, decode.loss_ce: 0.0437, decode.acc_seg: 98.1165, loss: 0.0437 +2023-03-04 06:13:50,850 - mmseg - INFO - Iter [85600/160000] lr: 9.375e-06, eta: 4:22:19, time: 0.173, data_time: 0.008, memory: 52541, decode.loss_ce: 0.0410, decode.acc_seg: 98.1947, loss: 0.0410 +2023-03-04 06:13:59,190 - mmseg - INFO - Iter [85650/160000] lr: 9.375e-06, eta: 4:22:07, time: 0.167, data_time: 0.007, memory: 52541, decode.loss_ce: 0.0419, decode.acc_seg: 98.1701, loss: 0.0419 +2023-03-04 06:14:07,230 - mmseg - INFO - Iter [85700/160000] lr: 9.375e-06, eta: 4:21:54, time: 0.161, data_time: 0.008, memory: 52541, decode.loss_ce: 0.0420, decode.acc_seg: 98.1707, loss: 0.0420 +2023-03-04 06:14:15,313 - mmseg - INFO - Iter [85750/160000] lr: 9.375e-06, eta: 4:21:41, time: 0.162, data_time: 0.008, memory: 52541, decode.loss_ce: 0.0419, decode.acc_seg: 98.1881, loss: 0.0419 +2023-03-04 06:14:24,248 - mmseg - INFO - Iter [85800/160000] lr: 9.375e-06, eta: 4:21:29, time: 0.179, data_time: 0.007, memory: 52541, decode.loss_ce: 0.0435, decode.acc_seg: 98.1184, loss: 0.0435 +2023-03-04 06:14:34,891 - mmseg - INFO - Iter [85850/160000] lr: 9.375e-06, eta: 4:21:19, time: 0.213, data_time: 0.053, memory: 52541, decode.loss_ce: 0.0437, decode.acc_seg: 98.0691, loss: 0.0437 +2023-03-04 06:14:43,181 - mmseg - INFO - Iter [85900/160000] lr: 9.375e-06, eta: 4:21:06, time: 0.166, data_time: 0.007, memory: 52541, decode.loss_ce: 0.0438, decode.acc_seg: 98.0992, loss: 0.0438 +2023-03-04 06:14:51,473 - mmseg - INFO - Iter [85950/160000] lr: 9.375e-06, eta: 4:20:53, time: 0.166, data_time: 0.007, memory: 52541, decode.loss_ce: 0.0425, decode.acc_seg: 98.0993, loss: 0.0425 +2023-03-04 06:14:59,813 - mmseg - INFO - Exp name: ablation_segformer_mit_b2_segformer_head_unet_fc_small_multi_step_ade_pretrained_freeze_embed_160k_ade20k151_finetune_ema_wgt.py +2023-03-04 06:14:59,813 - mmseg - INFO - Iter [86000/160000] lr: 9.375e-06, eta: 4:20:41, time: 0.167, data_time: 0.007, memory: 52541, decode.loss_ce: 0.0409, decode.acc_seg: 98.1700, loss: 0.0409 +2023-03-04 06:15:08,295 - mmseg - INFO - Iter [86050/160000] lr: 9.375e-06, eta: 4:20:29, time: 0.170, data_time: 0.007, memory: 52541, decode.loss_ce: 0.0426, decode.acc_seg: 98.1046, loss: 0.0426 +2023-03-04 06:15:16,763 - mmseg - INFO - Iter [86100/160000] lr: 9.375e-06, eta: 4:20:16, time: 0.169, data_time: 0.007, memory: 52541, decode.loss_ce: 0.0413, decode.acc_seg: 98.1761, loss: 0.0413 +2023-03-04 06:15:25,357 - mmseg - INFO - Iter [86150/160000] lr: 9.375e-06, eta: 4:20:04, time: 0.172, data_time: 0.007, memory: 52541, decode.loss_ce: 0.0407, decode.acc_seg: 98.2165, loss: 0.0407 +2023-03-04 06:15:33,511 - mmseg - INFO - Iter [86200/160000] lr: 9.375e-06, eta: 4:19:51, time: 0.163, data_time: 0.008, memory: 52541, decode.loss_ce: 0.0452, decode.acc_seg: 98.0400, loss: 0.0452 +2023-03-04 06:15:41,577 - mmseg - INFO - Iter [86250/160000] lr: 9.375e-06, eta: 4:19:39, time: 0.161, data_time: 0.007, memory: 52541, decode.loss_ce: 0.0420, decode.acc_seg: 98.1665, loss: 0.0420 +2023-03-04 06:15:49,696 - mmseg - INFO - Iter [86300/160000] lr: 9.375e-06, eta: 4:19:26, time: 0.162, data_time: 0.007, memory: 52541, decode.loss_ce: 0.0422, decode.acc_seg: 98.1921, loss: 0.0422 +2023-03-04 06:15:58,188 - mmseg - INFO - Iter [86350/160000] lr: 9.375e-06, eta: 4:19:14, time: 0.170, data_time: 0.008, memory: 52541, decode.loss_ce: 0.0432, decode.acc_seg: 98.1799, loss: 0.0432 +2023-03-04 06:16:06,509 - mmseg - INFO - Iter [86400/160000] lr: 9.375e-06, eta: 4:19:01, time: 0.166, data_time: 0.008, memory: 52541, decode.loss_ce: 0.0425, decode.acc_seg: 98.1593, loss: 0.0425 +2023-03-04 06:16:17,372 - mmseg - INFO - Iter [86450/160000] lr: 9.375e-06, eta: 4:18:51, time: 0.218, data_time: 0.055, memory: 52541, decode.loss_ce: 0.0430, decode.acc_seg: 98.1296, loss: 0.0430 +2023-03-04 06:16:25,780 - mmseg - INFO - Iter [86500/160000] lr: 9.375e-06, eta: 4:18:39, time: 0.168, data_time: 0.007, memory: 52541, decode.loss_ce: 0.0423, decode.acc_seg: 98.1347, loss: 0.0423 +2023-03-04 06:16:34,267 - mmseg - INFO - Iter [86550/160000] lr: 9.375e-06, eta: 4:18:26, time: 0.170, data_time: 0.007, memory: 52541, decode.loss_ce: 0.0418, decode.acc_seg: 98.1562, loss: 0.0418 +2023-03-04 06:16:42,688 - mmseg - INFO - Iter [86600/160000] lr: 9.375e-06, eta: 4:18:14, time: 0.168, data_time: 0.007, memory: 52541, decode.loss_ce: 0.0444, decode.acc_seg: 98.1003, loss: 0.0444 +2023-03-04 06:16:50,973 - mmseg - INFO - Iter [86650/160000] lr: 9.375e-06, eta: 4:18:01, time: 0.166, data_time: 0.008, memory: 52541, decode.loss_ce: 0.0431, decode.acc_seg: 98.1214, loss: 0.0431 +2023-03-04 06:16:59,437 - mmseg - INFO - Iter [86700/160000] lr: 9.375e-06, eta: 4:17:49, time: 0.169, data_time: 0.008, memory: 52541, decode.loss_ce: 0.0419, decode.acc_seg: 98.1791, loss: 0.0419 +2023-03-04 06:17:07,837 - mmseg - INFO - Iter [86750/160000] lr: 9.375e-06, eta: 4:17:37, time: 0.168, data_time: 0.007, memory: 52541, decode.loss_ce: 0.0449, decode.acc_seg: 98.0894, loss: 0.0449 +2023-03-04 06:17:16,687 - mmseg - INFO - Iter [86800/160000] lr: 9.375e-06, eta: 4:17:25, time: 0.177, data_time: 0.007, memory: 52541, decode.loss_ce: 0.0427, decode.acc_seg: 98.1430, loss: 0.0427 +2023-03-04 06:17:24,985 - mmseg - INFO - Iter [86850/160000] lr: 9.375e-06, eta: 4:17:12, time: 0.166, data_time: 0.008, memory: 52541, decode.loss_ce: 0.0429, decode.acc_seg: 98.1424, loss: 0.0429 +2023-03-04 06:17:33,613 - mmseg - INFO - Iter [86900/160000] lr: 9.375e-06, eta: 4:17:00, time: 0.172, data_time: 0.008, memory: 52541, decode.loss_ce: 0.0446, decode.acc_seg: 98.1187, loss: 0.0446 +2023-03-04 06:17:41,833 - mmseg - INFO - Iter [86950/160000] lr: 9.375e-06, eta: 4:16:48, time: 0.164, data_time: 0.008, memory: 52541, decode.loss_ce: 0.0430, decode.acc_seg: 98.1271, loss: 0.0430 +2023-03-04 06:17:50,651 - mmseg - INFO - Exp name: ablation_segformer_mit_b2_segformer_head_unet_fc_small_multi_step_ade_pretrained_freeze_embed_160k_ade20k151_finetune_ema_wgt.py +2023-03-04 06:17:50,651 - mmseg - INFO - Iter [87000/160000] lr: 9.375e-06, eta: 4:16:36, time: 0.177, data_time: 0.007, memory: 52541, decode.loss_ce: 0.0438, decode.acc_seg: 98.0813, loss: 0.0438 +2023-03-04 06:17:59,345 - mmseg - INFO - Iter [87050/160000] lr: 9.375e-06, eta: 4:16:23, time: 0.174, data_time: 0.008, memory: 52541, decode.loss_ce: 0.0431, decode.acc_seg: 98.1227, loss: 0.0431 +2023-03-04 06:18:10,129 - mmseg - INFO - Iter [87100/160000] lr: 9.375e-06, eta: 4:16:13, time: 0.215, data_time: 0.057, memory: 52541, decode.loss_ce: 0.0436, decode.acc_seg: 98.0903, loss: 0.0436 +2023-03-04 06:18:18,788 - mmseg - INFO - Iter [87150/160000] lr: 9.375e-06, eta: 4:16:01, time: 0.173, data_time: 0.008, memory: 52541, decode.loss_ce: 0.0457, decode.acc_seg: 97.9972, loss: 0.0457 +2023-03-04 06:18:27,073 - mmseg - INFO - Iter [87200/160000] lr: 9.375e-06, eta: 4:15:49, time: 0.166, data_time: 0.007, memory: 52541, decode.loss_ce: 0.0427, decode.acc_seg: 98.1231, loss: 0.0427 +2023-03-04 06:18:35,685 - mmseg - INFO - Iter [87250/160000] lr: 9.375e-06, eta: 4:15:36, time: 0.172, data_time: 0.008, memory: 52541, decode.loss_ce: 0.0435, decode.acc_seg: 98.1025, loss: 0.0435 +2023-03-04 06:18:43,937 - mmseg - INFO - Iter [87300/160000] lr: 9.375e-06, eta: 4:15:24, time: 0.165, data_time: 0.007, memory: 52541, decode.loss_ce: 0.0410, decode.acc_seg: 98.2004, loss: 0.0410 +2023-03-04 06:18:52,966 - mmseg - INFO - Iter [87350/160000] lr: 9.375e-06, eta: 4:15:12, time: 0.181, data_time: 0.008, memory: 52541, decode.loss_ce: 0.0412, decode.acc_seg: 98.1766, loss: 0.0412 +2023-03-04 06:19:01,303 - mmseg - INFO - Iter [87400/160000] lr: 9.375e-06, eta: 4:15:00, time: 0.166, data_time: 0.007, memory: 52541, decode.loss_ce: 0.0449, decode.acc_seg: 98.0447, loss: 0.0449 +2023-03-04 06:19:09,511 - mmseg - INFO - Iter [87450/160000] lr: 9.375e-06, eta: 4:14:47, time: 0.164, data_time: 0.008, memory: 52541, decode.loss_ce: 0.0414, decode.acc_seg: 98.2006, loss: 0.0414 +2023-03-04 06:19:17,913 - mmseg - INFO - Iter [87500/160000] lr: 9.375e-06, eta: 4:14:35, time: 0.168, data_time: 0.007, memory: 52541, decode.loss_ce: 0.0432, decode.acc_seg: 98.0897, loss: 0.0432 +2023-03-04 06:19:26,450 - mmseg - INFO - Iter [87550/160000] lr: 9.375e-06, eta: 4:14:23, time: 0.171, data_time: 0.007, memory: 52541, decode.loss_ce: 0.0432, decode.acc_seg: 98.0992, loss: 0.0432 +2023-03-04 06:19:34,607 - mmseg - INFO - Iter [87600/160000] lr: 9.375e-06, eta: 4:14:10, time: 0.163, data_time: 0.007, memory: 52541, decode.loss_ce: 0.0448, decode.acc_seg: 98.0689, loss: 0.0448 +2023-03-04 06:19:43,343 - mmseg - INFO - Iter [87650/160000] lr: 9.375e-06, eta: 4:13:58, time: 0.175, data_time: 0.008, memory: 52541, decode.loss_ce: 0.0425, decode.acc_seg: 98.1489, loss: 0.0425 +2023-03-04 06:19:51,628 - mmseg - INFO - Iter [87700/160000] lr: 9.375e-06, eta: 4:13:46, time: 0.165, data_time: 0.007, memory: 52541, decode.loss_ce: 0.0424, decode.acc_seg: 98.1422, loss: 0.0424 +2023-03-04 06:20:02,390 - mmseg - INFO - Iter [87750/160000] lr: 9.375e-06, eta: 4:13:36, time: 0.215, data_time: 0.053, memory: 52541, decode.loss_ce: 0.0419, decode.acc_seg: 98.1748, loss: 0.0419 +2023-03-04 06:20:10,861 - mmseg - INFO - Iter [87800/160000] lr: 9.375e-06, eta: 4:13:23, time: 0.169, data_time: 0.008, memory: 52541, decode.loss_ce: 0.0446, decode.acc_seg: 98.0433, loss: 0.0446 +2023-03-04 06:20:19,092 - mmseg - INFO - Iter [87850/160000] lr: 9.375e-06, eta: 4:13:11, time: 0.165, data_time: 0.007, memory: 52541, decode.loss_ce: 0.0424, decode.acc_seg: 98.1463, loss: 0.0424 +2023-03-04 06:20:27,584 - mmseg - INFO - Iter [87900/160000] lr: 9.375e-06, eta: 4:12:59, time: 0.170, data_time: 0.007, memory: 52541, decode.loss_ce: 0.0447, decode.acc_seg: 98.0612, loss: 0.0447 +2023-03-04 06:20:36,016 - mmseg - INFO - Iter [87950/160000] lr: 9.375e-06, eta: 4:12:47, time: 0.169, data_time: 0.008, memory: 52541, decode.loss_ce: 0.0462, decode.acc_seg: 98.0313, loss: 0.0462 +2023-03-04 06:20:44,274 - mmseg - INFO - Exp name: ablation_segformer_mit_b2_segformer_head_unet_fc_small_multi_step_ade_pretrained_freeze_embed_160k_ade20k151_finetune_ema_wgt.py +2023-03-04 06:20:44,274 - mmseg - INFO - Iter [88000/160000] lr: 9.375e-06, eta: 4:12:34, time: 0.165, data_time: 0.007, memory: 52541, decode.loss_ce: 0.0447, decode.acc_seg: 98.0538, loss: 0.0447 +2023-03-04 06:20:52,699 - mmseg - INFO - Iter [88050/160000] lr: 9.375e-06, eta: 4:12:22, time: 0.168, data_time: 0.007, memory: 52541, decode.loss_ce: 0.0405, decode.acc_seg: 98.1973, loss: 0.0405 +2023-03-04 06:21:00,990 - mmseg - INFO - Iter [88100/160000] lr: 9.375e-06, eta: 4:12:10, time: 0.166, data_time: 0.007, memory: 52541, decode.loss_ce: 0.0432, decode.acc_seg: 98.1076, loss: 0.0432 +2023-03-04 06:21:09,519 - mmseg - INFO - Iter [88150/160000] lr: 9.375e-06, eta: 4:11:57, time: 0.170, data_time: 0.007, memory: 52541, decode.loss_ce: 0.0446, decode.acc_seg: 98.0370, loss: 0.0446 +2023-03-04 06:21:17,984 - mmseg - INFO - Iter [88200/160000] lr: 9.375e-06, eta: 4:11:45, time: 0.170, data_time: 0.008, memory: 52541, decode.loss_ce: 0.0428, decode.acc_seg: 98.1129, loss: 0.0428 +2023-03-04 06:21:26,157 - mmseg - INFO - Iter [88250/160000] lr: 9.375e-06, eta: 4:11:33, time: 0.163, data_time: 0.008, memory: 52541, decode.loss_ce: 0.0404, decode.acc_seg: 98.2265, loss: 0.0404 +2023-03-04 06:21:34,276 - mmseg - INFO - Iter [88300/160000] lr: 9.375e-06, eta: 4:11:20, time: 0.162, data_time: 0.008, memory: 52541, decode.loss_ce: 0.0456, decode.acc_seg: 98.0418, loss: 0.0456 +2023-03-04 06:21:44,837 - mmseg - INFO - Iter [88350/160000] lr: 9.375e-06, eta: 4:11:10, time: 0.211, data_time: 0.056, memory: 52541, decode.loss_ce: 0.0411, decode.acc_seg: 98.2197, loss: 0.0411 +2023-03-04 06:21:53,236 - mmseg - INFO - Iter [88400/160000] lr: 9.375e-06, eta: 4:10:58, time: 0.168, data_time: 0.008, memory: 52541, decode.loss_ce: 0.0448, decode.acc_seg: 98.0655, loss: 0.0448 +2023-03-04 06:22:01,841 - mmseg - INFO - Iter [88450/160000] lr: 9.375e-06, eta: 4:10:46, time: 0.172, data_time: 0.007, memory: 52541, decode.loss_ce: 0.0451, decode.acc_seg: 98.0351, loss: 0.0451 +2023-03-04 06:22:09,950 - mmseg - INFO - Iter [88500/160000] lr: 9.375e-06, eta: 4:10:33, time: 0.162, data_time: 0.007, memory: 52541, decode.loss_ce: 0.0431, decode.acc_seg: 98.1344, loss: 0.0431 +2023-03-04 06:22:18,254 - mmseg - INFO - Iter [88550/160000] lr: 9.375e-06, eta: 4:10:21, time: 0.166, data_time: 0.007, memory: 52541, decode.loss_ce: 0.0435, decode.acc_seg: 98.1046, loss: 0.0435 +2023-03-04 06:22:26,841 - mmseg - INFO - Iter [88600/160000] lr: 9.375e-06, eta: 4:10:09, time: 0.172, data_time: 0.007, memory: 52541, decode.loss_ce: 0.0411, decode.acc_seg: 98.2159, loss: 0.0411 +2023-03-04 06:22:35,417 - mmseg - INFO - Iter [88650/160000] lr: 9.375e-06, eta: 4:09:57, time: 0.172, data_time: 0.007, memory: 52541, decode.loss_ce: 0.0430, decode.acc_seg: 98.1027, loss: 0.0430 +2023-03-04 06:22:43,527 - mmseg - INFO - Iter [88700/160000] lr: 9.375e-06, eta: 4:09:44, time: 0.162, data_time: 0.008, memory: 52541, decode.loss_ce: 0.0451, decode.acc_seg: 98.0836, loss: 0.0451 +2023-03-04 06:22:52,181 - mmseg - INFO - Iter [88750/160000] lr: 9.375e-06, eta: 4:09:32, time: 0.173, data_time: 0.008, memory: 52541, decode.loss_ce: 0.0433, decode.acc_seg: 98.1296, loss: 0.0433 +2023-03-04 06:23:00,661 - mmseg - INFO - Iter [88800/160000] lr: 9.375e-06, eta: 4:09:20, time: 0.170, data_time: 0.007, memory: 52541, decode.loss_ce: 0.0432, decode.acc_seg: 98.1060, loss: 0.0432 +2023-03-04 06:23:09,163 - mmseg - INFO - Iter [88850/160000] lr: 9.375e-06, eta: 4:09:08, time: 0.170, data_time: 0.007, memory: 52541, decode.loss_ce: 0.0428, decode.acc_seg: 98.1475, loss: 0.0428 +2023-03-04 06:23:17,232 - mmseg - INFO - Iter [88900/160000] lr: 9.375e-06, eta: 4:08:56, time: 0.161, data_time: 0.007, memory: 52541, decode.loss_ce: 0.0436, decode.acc_seg: 98.0777, loss: 0.0436 +2023-03-04 06:23:25,707 - mmseg - INFO - Iter [88950/160000] lr: 9.375e-06, eta: 4:08:43, time: 0.170, data_time: 0.008, memory: 52541, decode.loss_ce: 0.0430, decode.acc_seg: 98.1416, loss: 0.0430 +2023-03-04 06:23:36,778 - mmseg - INFO - Exp name: ablation_segformer_mit_b2_segformer_head_unet_fc_small_multi_step_ade_pretrained_freeze_embed_160k_ade20k151_finetune_ema_wgt.py +2023-03-04 06:23:36,778 - mmseg - INFO - Iter [89000/160000] lr: 9.375e-06, eta: 4:08:33, time: 0.221, data_time: 0.053, memory: 52541, decode.loss_ce: 0.0439, decode.acc_seg: 98.0803, loss: 0.0439 +2023-03-04 06:23:45,321 - mmseg - INFO - Iter [89050/160000] lr: 9.375e-06, eta: 4:08:21, time: 0.171, data_time: 0.007, memory: 52541, decode.loss_ce: 0.0385, decode.acc_seg: 98.2736, loss: 0.0385 +2023-03-04 06:23:53,745 - mmseg - INFO - Iter [89100/160000] lr: 9.375e-06, eta: 4:08:09, time: 0.169, data_time: 0.008, memory: 52541, decode.loss_ce: 0.0444, decode.acc_seg: 98.0824, loss: 0.0444 +2023-03-04 06:24:02,142 - mmseg - INFO - Iter [89150/160000] lr: 9.375e-06, eta: 4:07:57, time: 0.168, data_time: 0.007, memory: 52541, decode.loss_ce: 0.0423, decode.acc_seg: 98.1620, loss: 0.0423 +2023-03-04 06:24:10,169 - mmseg - INFO - Iter [89200/160000] lr: 9.375e-06, eta: 4:07:45, time: 0.161, data_time: 0.007, memory: 52541, decode.loss_ce: 0.0414, decode.acc_seg: 98.1758, loss: 0.0414 +2023-03-04 06:24:18,287 - mmseg - INFO - Iter [89250/160000] lr: 9.375e-06, eta: 4:07:32, time: 0.162, data_time: 0.007, memory: 52541, decode.loss_ce: 0.0451, decode.acc_seg: 98.0583, loss: 0.0451 +2023-03-04 06:24:26,684 - mmseg - INFO - Iter [89300/160000] lr: 9.375e-06, eta: 4:07:20, time: 0.168, data_time: 0.008, memory: 52541, decode.loss_ce: 0.0457, decode.acc_seg: 98.0199, loss: 0.0457 +2023-03-04 06:24:35,594 - mmseg - INFO - Iter [89350/160000] lr: 9.375e-06, eta: 4:07:08, time: 0.178, data_time: 0.007, memory: 52541, decode.loss_ce: 0.0430, decode.acc_seg: 98.1433, loss: 0.0430 +2023-03-04 06:24:43,825 - mmseg - INFO - Iter [89400/160000] lr: 9.375e-06, eta: 4:06:56, time: 0.165, data_time: 0.007, memory: 52541, decode.loss_ce: 0.0451, decode.acc_seg: 98.0680, loss: 0.0451 +2023-03-04 06:24:52,498 - mmseg - INFO - Iter [89450/160000] lr: 9.375e-06, eta: 4:06:44, time: 0.173, data_time: 0.007, memory: 52541, decode.loss_ce: 0.0431, decode.acc_seg: 98.0968, loss: 0.0431 +2023-03-04 06:25:00,909 - mmseg - INFO - Iter [89500/160000] lr: 9.375e-06, eta: 4:06:32, time: 0.168, data_time: 0.007, memory: 52541, decode.loss_ce: 0.0447, decode.acc_seg: 98.0455, loss: 0.0447 +2023-03-04 06:25:09,481 - mmseg - INFO - Iter [89550/160000] lr: 9.375e-06, eta: 4:06:20, time: 0.171, data_time: 0.007, memory: 52541, decode.loss_ce: 0.0423, decode.acc_seg: 98.1992, loss: 0.0423 +2023-03-04 06:25:17,745 - mmseg - INFO - Iter [89600/160000] lr: 9.375e-06, eta: 4:06:08, time: 0.166, data_time: 0.007, memory: 52541, decode.loss_ce: 0.0438, decode.acc_seg: 98.1341, loss: 0.0438 +2023-03-04 06:25:28,617 - mmseg - INFO - Iter [89650/160000] lr: 9.375e-06, eta: 4:05:57, time: 0.217, data_time: 0.054, memory: 52541, decode.loss_ce: 0.0486, decode.acc_seg: 97.9246, loss: 0.0486 +2023-03-04 06:25:37,255 - mmseg - INFO - Iter [89700/160000] lr: 9.375e-06, eta: 4:05:46, time: 0.172, data_time: 0.008, memory: 52541, decode.loss_ce: 0.0443, decode.acc_seg: 98.0726, loss: 0.0443 +2023-03-04 06:25:45,795 - mmseg - INFO - Iter [89750/160000] lr: 9.375e-06, eta: 4:05:33, time: 0.171, data_time: 0.007, memory: 52541, decode.loss_ce: 0.0431, decode.acc_seg: 98.1409, loss: 0.0431 +2023-03-04 06:25:54,239 - mmseg - INFO - Iter [89800/160000] lr: 9.375e-06, eta: 4:05:21, time: 0.169, data_time: 0.007, memory: 52541, decode.loss_ce: 0.0427, decode.acc_seg: 98.1323, loss: 0.0427 +2023-03-04 06:26:02,557 - mmseg - INFO - Iter [89850/160000] lr: 9.375e-06, eta: 4:05:09, time: 0.166, data_time: 0.007, memory: 52541, decode.loss_ce: 0.0451, decode.acc_seg: 98.0462, loss: 0.0451 +2023-03-04 06:26:10,849 - mmseg - INFO - Iter [89900/160000] lr: 9.375e-06, eta: 4:04:57, time: 0.166, data_time: 0.007, memory: 52541, decode.loss_ce: 0.0452, decode.acc_seg: 98.0354, loss: 0.0452 +2023-03-04 06:26:19,316 - mmseg - INFO - Iter [89950/160000] lr: 9.375e-06, eta: 4:04:45, time: 0.169, data_time: 0.007, memory: 52541, decode.loss_ce: 0.0442, decode.acc_seg: 98.0799, loss: 0.0442 +2023-03-04 06:26:27,448 - mmseg - INFO - Exp name: ablation_segformer_mit_b2_segformer_head_unet_fc_small_multi_step_ade_pretrained_freeze_embed_160k_ade20k151_finetune_ema_wgt.py +2023-03-04 06:26:27,448 - mmseg - INFO - Iter [90000/160000] lr: 9.375e-06, eta: 4:04:33, time: 0.162, data_time: 0.008, memory: 52541, decode.loss_ce: 0.0432, decode.acc_seg: 98.1329, loss: 0.0432 +2023-03-04 06:26:36,239 - mmseg - INFO - Iter [90050/160000] lr: 9.375e-06, eta: 4:04:21, time: 0.176, data_time: 0.008, memory: 52541, decode.loss_ce: 0.0424, decode.acc_seg: 98.1780, loss: 0.0424 +2023-03-04 06:26:44,566 - mmseg - INFO - Iter [90100/160000] lr: 9.375e-06, eta: 4:04:09, time: 0.167, data_time: 0.007, memory: 52541, decode.loss_ce: 0.0427, decode.acc_seg: 98.1543, loss: 0.0427 +2023-03-04 06:26:52,984 - mmseg - INFO - Iter [90150/160000] lr: 9.375e-06, eta: 4:03:57, time: 0.168, data_time: 0.007, memory: 52541, decode.loss_ce: 0.0434, decode.acc_seg: 98.1095, loss: 0.0434 +2023-03-04 06:27:01,677 - mmseg - INFO - Iter [90200/160000] lr: 9.375e-06, eta: 4:03:45, time: 0.174, data_time: 0.008, memory: 52541, decode.loss_ce: 0.0451, decode.acc_seg: 98.0352, loss: 0.0451 +2023-03-04 06:27:12,460 - mmseg - INFO - Iter [90250/160000] lr: 9.375e-06, eta: 4:03:35, time: 0.215, data_time: 0.053, memory: 52541, decode.loss_ce: 0.0455, decode.acc_seg: 98.0563, loss: 0.0455 +2023-03-04 06:27:21,381 - mmseg - INFO - Iter [90300/160000] lr: 9.375e-06, eta: 4:03:23, time: 0.179, data_time: 0.008, memory: 52541, decode.loss_ce: 0.0443, decode.acc_seg: 98.0901, loss: 0.0443 +2023-03-04 06:27:29,599 - mmseg - INFO - Iter [90350/160000] lr: 9.375e-06, eta: 4:03:11, time: 0.164, data_time: 0.007, memory: 52541, decode.loss_ce: 0.0428, decode.acc_seg: 98.0628, loss: 0.0428 +2023-03-04 06:27:37,893 - mmseg - INFO - Iter [90400/160000] lr: 9.375e-06, eta: 4:02:59, time: 0.166, data_time: 0.007, memory: 52541, decode.loss_ce: 0.0447, decode.acc_seg: 98.0253, loss: 0.0447 +2023-03-04 06:27:46,145 - mmseg - INFO - Iter [90450/160000] lr: 9.375e-06, eta: 4:02:46, time: 0.165, data_time: 0.007, memory: 52541, decode.loss_ce: 0.0402, decode.acc_seg: 98.2416, loss: 0.0402 +2023-03-04 06:27:54,454 - mmseg - INFO - Iter [90500/160000] lr: 9.375e-06, eta: 4:02:34, time: 0.166, data_time: 0.008, memory: 52541, decode.loss_ce: 0.0420, decode.acc_seg: 98.1733, loss: 0.0420 +2023-03-04 06:28:02,821 - mmseg - INFO - Iter [90550/160000] lr: 9.375e-06, eta: 4:02:22, time: 0.167, data_time: 0.007, memory: 52541, decode.loss_ce: 0.0441, decode.acc_seg: 98.0724, loss: 0.0441 +2023-03-04 06:28:11,465 - mmseg - INFO - Iter [90600/160000] lr: 9.375e-06, eta: 4:02:10, time: 0.173, data_time: 0.008, memory: 52541, decode.loss_ce: 0.0437, decode.acc_seg: 98.1154, loss: 0.0437 +2023-03-04 06:28:20,409 - mmseg - INFO - Iter [90650/160000] lr: 9.375e-06, eta: 4:01:59, time: 0.179, data_time: 0.007, memory: 52541, decode.loss_ce: 0.0429, decode.acc_seg: 98.1410, loss: 0.0429 +2023-03-04 06:28:29,318 - mmseg - INFO - Iter [90700/160000] lr: 9.375e-06, eta: 4:01:47, time: 0.178, data_time: 0.009, memory: 52541, decode.loss_ce: 0.0442, decode.acc_seg: 98.0994, loss: 0.0442 +2023-03-04 06:28:37,910 - mmseg - INFO - Iter [90750/160000] lr: 9.375e-06, eta: 4:01:35, time: 0.172, data_time: 0.007, memory: 52541, decode.loss_ce: 0.0445, decode.acc_seg: 98.0537, loss: 0.0445 +2023-03-04 06:28:46,551 - mmseg - INFO - Iter [90800/160000] lr: 9.375e-06, eta: 4:01:23, time: 0.173, data_time: 0.008, memory: 52541, decode.loss_ce: 0.0449, decode.acc_seg: 98.0588, loss: 0.0449 +2023-03-04 06:28:55,126 - mmseg - INFO - Iter [90850/160000] lr: 9.375e-06, eta: 4:01:11, time: 0.172, data_time: 0.007, memory: 52541, decode.loss_ce: 0.0421, decode.acc_seg: 98.1484, loss: 0.0421 +2023-03-04 06:29:05,769 - mmseg - INFO - Iter [90900/160000] lr: 9.375e-06, eta: 4:01:01, time: 0.213, data_time: 0.052, memory: 52541, decode.loss_ce: 0.0426, decode.acc_seg: 98.1712, loss: 0.0426 +2023-03-04 06:29:14,577 - mmseg - INFO - Iter [90950/160000] lr: 9.375e-06, eta: 4:00:49, time: 0.176, data_time: 0.007, memory: 52541, decode.loss_ce: 0.0400, decode.acc_seg: 98.2341, loss: 0.0400 +2023-03-04 06:29:23,011 - mmseg - INFO - Exp name: ablation_segformer_mit_b2_segformer_head_unet_fc_small_multi_step_ade_pretrained_freeze_embed_160k_ade20k151_finetune_ema_wgt.py +2023-03-04 06:29:23,011 - mmseg - INFO - Iter [91000/160000] lr: 9.375e-06, eta: 4:00:37, time: 0.168, data_time: 0.007, memory: 52541, decode.loss_ce: 0.0447, decode.acc_seg: 98.0937, loss: 0.0447 +2023-03-04 06:29:31,271 - mmseg - INFO - Iter [91050/160000] lr: 9.375e-06, eta: 4:00:25, time: 0.165, data_time: 0.008, memory: 52541, decode.loss_ce: 0.0469, decode.acc_seg: 97.9921, loss: 0.0469 +2023-03-04 06:29:39,506 - mmseg - INFO - Iter [91100/160000] lr: 9.375e-06, eta: 4:00:13, time: 0.165, data_time: 0.007, memory: 52541, decode.loss_ce: 0.0430, decode.acc_seg: 98.0876, loss: 0.0430 +2023-03-04 06:29:47,742 - mmseg - INFO - Iter [91150/160000] lr: 9.375e-06, eta: 4:00:01, time: 0.164, data_time: 0.007, memory: 52541, decode.loss_ce: 0.0452, decode.acc_seg: 98.0411, loss: 0.0452 +2023-03-04 06:29:56,697 - mmseg - INFO - Iter [91200/160000] lr: 9.375e-06, eta: 3:59:49, time: 0.179, data_time: 0.007, memory: 52541, decode.loss_ce: 0.0421, decode.acc_seg: 98.1440, loss: 0.0421 +2023-03-04 06:30:05,373 - mmseg - INFO - Iter [91250/160000] lr: 9.375e-06, eta: 3:59:37, time: 0.173, data_time: 0.007, memory: 52541, decode.loss_ce: 0.0453, decode.acc_seg: 98.0789, loss: 0.0453 +2023-03-04 06:30:13,926 - mmseg - INFO - Iter [91300/160000] lr: 9.375e-06, eta: 3:59:26, time: 0.171, data_time: 0.008, memory: 52541, decode.loss_ce: 0.0442, decode.acc_seg: 98.0742, loss: 0.0442 +2023-03-04 06:30:22,047 - mmseg - INFO - Iter [91350/160000] lr: 9.375e-06, eta: 3:59:13, time: 0.162, data_time: 0.008, memory: 52541, decode.loss_ce: 0.0414, decode.acc_seg: 98.1663, loss: 0.0414 +2023-03-04 06:30:30,330 - mmseg - INFO - Iter [91400/160000] lr: 9.375e-06, eta: 3:59:01, time: 0.166, data_time: 0.007, memory: 52541, decode.loss_ce: 0.0434, decode.acc_seg: 98.0791, loss: 0.0434 +2023-03-04 06:30:38,952 - mmseg - INFO - Iter [91450/160000] lr: 9.375e-06, eta: 3:58:49, time: 0.172, data_time: 0.008, memory: 52541, decode.loss_ce: 0.0428, decode.acc_seg: 98.1461, loss: 0.0428 +2023-03-04 06:30:49,557 - mmseg - INFO - Iter [91500/160000] lr: 9.375e-06, eta: 3:58:39, time: 0.212, data_time: 0.054, memory: 52541, decode.loss_ce: 0.0436, decode.acc_seg: 98.1218, loss: 0.0436 +2023-03-04 06:30:57,639 - mmseg - INFO - Iter [91550/160000] lr: 9.375e-06, eta: 3:58:27, time: 0.162, data_time: 0.007, memory: 52541, decode.loss_ce: 0.0430, decode.acc_seg: 98.1324, loss: 0.0430 +2023-03-04 06:31:05,988 - mmseg - INFO - Iter [91600/160000] lr: 9.375e-06, eta: 3:58:15, time: 0.167, data_time: 0.007, memory: 52541, decode.loss_ce: 0.0418, decode.acc_seg: 98.1511, loss: 0.0418 +2023-03-04 06:31:14,377 - mmseg - INFO - Iter [91650/160000] lr: 9.375e-06, eta: 3:58:03, time: 0.168, data_time: 0.007, memory: 52541, decode.loss_ce: 0.0424, decode.acc_seg: 98.1359, loss: 0.0424 +2023-03-04 06:31:22,515 - mmseg - INFO - Iter [91700/160000] lr: 9.375e-06, eta: 3:57:51, time: 0.163, data_time: 0.007, memory: 52541, decode.loss_ce: 0.0429, decode.acc_seg: 98.0911, loss: 0.0429 +2023-03-04 06:31:30,869 - mmseg - INFO - Iter [91750/160000] lr: 9.375e-06, eta: 3:57:39, time: 0.167, data_time: 0.008, memory: 52541, decode.loss_ce: 0.0441, decode.acc_seg: 98.0938, loss: 0.0441 +2023-03-04 06:31:39,752 - mmseg - INFO - Iter [91800/160000] lr: 9.375e-06, eta: 3:57:27, time: 0.177, data_time: 0.007, memory: 52541, decode.loss_ce: 0.0428, decode.acc_seg: 98.1338, loss: 0.0428 +2023-03-04 06:31:48,017 - mmseg - INFO - Iter [91850/160000] lr: 9.375e-06, eta: 3:57:15, time: 0.165, data_time: 0.008, memory: 52541, decode.loss_ce: 0.0423, decode.acc_seg: 98.1074, loss: 0.0423 +2023-03-04 06:31:56,933 - mmseg - INFO - Iter [91900/160000] lr: 9.375e-06, eta: 3:57:03, time: 0.179, data_time: 0.007, memory: 52541, decode.loss_ce: 0.0442, decode.acc_seg: 98.1002, loss: 0.0442 +2023-03-04 06:32:05,545 - mmseg - INFO - Iter [91950/160000] lr: 9.375e-06, eta: 3:56:52, time: 0.172, data_time: 0.007, memory: 52541, decode.loss_ce: 0.0428, decode.acc_seg: 98.1129, loss: 0.0428 +2023-03-04 06:32:13,769 - mmseg - INFO - Exp name: ablation_segformer_mit_b2_segformer_head_unet_fc_small_multi_step_ade_pretrained_freeze_embed_160k_ade20k151_finetune_ema_wgt.py +2023-03-04 06:32:13,770 - mmseg - INFO - Iter [92000/160000] lr: 9.375e-06, eta: 3:56:40, time: 0.165, data_time: 0.008, memory: 52541, decode.loss_ce: 0.0456, decode.acc_seg: 98.0498, loss: 0.0456 +2023-03-04 06:32:22,675 - mmseg - INFO - Iter [92050/160000] lr: 9.375e-06, eta: 3:56:28, time: 0.178, data_time: 0.008, memory: 52541, decode.loss_ce: 0.0427, decode.acc_seg: 98.1919, loss: 0.0427 +2023-03-04 06:32:30,793 - mmseg - INFO - Iter [92100/160000] lr: 9.375e-06, eta: 3:56:16, time: 0.162, data_time: 0.008, memory: 52541, decode.loss_ce: 0.0406, decode.acc_seg: 98.2324, loss: 0.0406 +2023-03-04 06:32:41,347 - mmseg - INFO - Iter [92150/160000] lr: 9.375e-06, eta: 3:56:05, time: 0.211, data_time: 0.054, memory: 52541, decode.loss_ce: 0.0415, decode.acc_seg: 98.1956, loss: 0.0415 +2023-03-04 06:32:49,505 - mmseg - INFO - Iter [92200/160000] lr: 9.375e-06, eta: 3:55:53, time: 0.163, data_time: 0.007, memory: 52541, decode.loss_ce: 0.0432, decode.acc_seg: 98.1233, loss: 0.0432 +2023-03-04 06:32:58,226 - mmseg - INFO - Iter [92250/160000] lr: 9.375e-06, eta: 3:55:42, time: 0.174, data_time: 0.007, memory: 52541, decode.loss_ce: 0.0428, decode.acc_seg: 98.1749, loss: 0.0428 +2023-03-04 06:33:06,476 - mmseg - INFO - Iter [92300/160000] lr: 9.375e-06, eta: 3:55:30, time: 0.165, data_time: 0.008, memory: 52541, decode.loss_ce: 0.0435, decode.acc_seg: 98.0994, loss: 0.0435 +2023-03-04 06:33:14,711 - mmseg - INFO - Iter [92350/160000] lr: 9.375e-06, eta: 3:55:18, time: 0.165, data_time: 0.008, memory: 52541, decode.loss_ce: 0.0406, decode.acc_seg: 98.2327, loss: 0.0406 +2023-03-04 06:33:23,618 - mmseg - INFO - Iter [92400/160000] lr: 9.375e-06, eta: 3:55:06, time: 0.178, data_time: 0.009, memory: 52541, decode.loss_ce: 0.0420, decode.acc_seg: 98.1384, loss: 0.0420 +2023-03-04 06:33:32,457 - mmseg - INFO - Iter [92450/160000] lr: 9.375e-06, eta: 3:54:54, time: 0.177, data_time: 0.007, memory: 52541, decode.loss_ce: 0.0430, decode.acc_seg: 98.1343, loss: 0.0430 +2023-03-04 06:33:40,513 - mmseg - INFO - Iter [92500/160000] lr: 9.375e-06, eta: 3:54:42, time: 0.161, data_time: 0.007, memory: 52541, decode.loss_ce: 0.0430, decode.acc_seg: 98.1540, loss: 0.0430 +2023-03-04 06:33:48,830 - mmseg - INFO - Iter [92550/160000] lr: 9.375e-06, eta: 3:54:30, time: 0.166, data_time: 0.008, memory: 52541, decode.loss_ce: 0.0423, decode.acc_seg: 98.1537, loss: 0.0423 +2023-03-04 06:33:57,223 - mmseg - INFO - Iter [92600/160000] lr: 9.375e-06, eta: 3:54:18, time: 0.168, data_time: 0.007, memory: 52541, decode.loss_ce: 0.0425, decode.acc_seg: 98.1431, loss: 0.0425 +2023-03-04 06:34:05,579 - mmseg - INFO - Iter [92650/160000] lr: 9.375e-06, eta: 3:54:06, time: 0.167, data_time: 0.007, memory: 52541, decode.loss_ce: 0.0439, decode.acc_seg: 98.1280, loss: 0.0439 +2023-03-04 06:34:13,603 - mmseg - INFO - Iter [92700/160000] lr: 9.375e-06, eta: 3:53:54, time: 0.160, data_time: 0.007, memory: 52541, decode.loss_ce: 0.0446, decode.acc_seg: 98.0530, loss: 0.0446 +2023-03-04 06:34:21,769 - mmseg - INFO - Iter [92750/160000] lr: 9.375e-06, eta: 3:53:42, time: 0.163, data_time: 0.008, memory: 52541, decode.loss_ce: 0.0427, decode.acc_seg: 98.1428, loss: 0.0427 +2023-03-04 06:34:32,441 - mmseg - INFO - Iter [92800/160000] lr: 9.375e-06, eta: 3:53:32, time: 0.213, data_time: 0.054, memory: 52541, decode.loss_ce: 0.0429, decode.acc_seg: 98.1502, loss: 0.0429 +2023-03-04 06:34:40,461 - mmseg - INFO - Iter [92850/160000] lr: 9.375e-06, eta: 3:53:20, time: 0.160, data_time: 0.008, memory: 52541, decode.loss_ce: 0.0415, decode.acc_seg: 98.1783, loss: 0.0415 +2023-03-04 06:34:49,105 - mmseg - INFO - Iter [92900/160000] lr: 9.375e-06, eta: 3:53:08, time: 0.173, data_time: 0.007, memory: 52541, decode.loss_ce: 0.0439, decode.acc_seg: 98.1017, loss: 0.0439 +2023-03-04 06:34:57,736 - mmseg - INFO - Iter [92950/160000] lr: 9.375e-06, eta: 3:52:56, time: 0.173, data_time: 0.008, memory: 52541, decode.loss_ce: 0.0440, decode.acc_seg: 98.1131, loss: 0.0440 +2023-03-04 06:35:06,458 - mmseg - INFO - Exp name: ablation_segformer_mit_b2_segformer_head_unet_fc_small_multi_step_ade_pretrained_freeze_embed_160k_ade20k151_finetune_ema_wgt.py +2023-03-04 06:35:06,458 - mmseg - INFO - Iter [93000/160000] lr: 9.375e-06, eta: 3:52:45, time: 0.174, data_time: 0.008, memory: 52541, decode.loss_ce: 0.0426, decode.acc_seg: 98.1388, loss: 0.0426 +2023-03-04 06:35:14,671 - mmseg - INFO - Iter [93050/160000] lr: 9.375e-06, eta: 3:52:33, time: 0.164, data_time: 0.007, memory: 52541, decode.loss_ce: 0.0440, decode.acc_seg: 98.0571, loss: 0.0440 +2023-03-04 06:35:23,009 - mmseg - INFO - Iter [93100/160000] lr: 9.375e-06, eta: 3:52:21, time: 0.167, data_time: 0.008, memory: 52541, decode.loss_ce: 0.0422, decode.acc_seg: 98.1603, loss: 0.0422 +2023-03-04 06:35:31,382 - mmseg - INFO - Iter [93150/160000] lr: 9.375e-06, eta: 3:52:09, time: 0.167, data_time: 0.007, memory: 52541, decode.loss_ce: 0.0419, decode.acc_seg: 98.1508, loss: 0.0419 +2023-03-04 06:35:40,472 - mmseg - INFO - Iter [93200/160000] lr: 9.375e-06, eta: 3:51:57, time: 0.182, data_time: 0.008, memory: 52541, decode.loss_ce: 0.0413, decode.acc_seg: 98.1886, loss: 0.0413 +2023-03-04 06:35:49,171 - mmseg - INFO - Iter [93250/160000] lr: 9.375e-06, eta: 3:51:46, time: 0.174, data_time: 0.007, memory: 52541, decode.loss_ce: 0.0418, decode.acc_seg: 98.1847, loss: 0.0418 +2023-03-04 06:35:57,865 - mmseg - INFO - Iter [93300/160000] lr: 9.375e-06, eta: 3:51:34, time: 0.174, data_time: 0.007, memory: 52541, decode.loss_ce: 0.0423, decode.acc_seg: 98.1509, loss: 0.0423 +2023-03-04 06:36:06,043 - mmseg - INFO - Iter [93350/160000] lr: 9.375e-06, eta: 3:51:22, time: 0.164, data_time: 0.008, memory: 52541, decode.loss_ce: 0.0426, decode.acc_seg: 98.1098, loss: 0.0426 +2023-03-04 06:36:16,710 - mmseg - INFO - Iter [93400/160000] lr: 9.375e-06, eta: 3:51:12, time: 0.213, data_time: 0.056, memory: 52541, decode.loss_ce: 0.0447, decode.acc_seg: 98.0682, loss: 0.0447 +2023-03-04 06:36:24,998 - mmseg - INFO - Iter [93450/160000] lr: 9.375e-06, eta: 3:51:00, time: 0.166, data_time: 0.008, memory: 52541, decode.loss_ce: 0.0419, decode.acc_seg: 98.1468, loss: 0.0419 +2023-03-04 06:36:33,373 - mmseg - INFO - Iter [93500/160000] lr: 9.375e-06, eta: 3:50:48, time: 0.168, data_time: 0.007, memory: 52541, decode.loss_ce: 0.0446, decode.acc_seg: 98.1000, loss: 0.0446 +2023-03-04 06:36:41,484 - mmseg - INFO - Iter [93550/160000] lr: 9.375e-06, eta: 3:50:36, time: 0.162, data_time: 0.007, memory: 52541, decode.loss_ce: 0.0432, decode.acc_seg: 98.1162, loss: 0.0432 +2023-03-04 06:36:50,274 - mmseg - INFO - Iter [93600/160000] lr: 9.375e-06, eta: 3:50:25, time: 0.176, data_time: 0.009, memory: 52541, decode.loss_ce: 0.0418, decode.acc_seg: 98.1635, loss: 0.0418 +2023-03-04 06:36:58,484 - mmseg - INFO - Iter [93650/160000] lr: 9.375e-06, eta: 3:50:13, time: 0.164, data_time: 0.008, memory: 52541, decode.loss_ce: 0.0437, decode.acc_seg: 98.1034, loss: 0.0437 +2023-03-04 06:37:06,581 - mmseg - INFO - Iter [93700/160000] lr: 9.375e-06, eta: 3:50:01, time: 0.162, data_time: 0.007, memory: 52541, decode.loss_ce: 0.0444, decode.acc_seg: 98.0382, loss: 0.0444 +2023-03-04 06:37:14,745 - mmseg - INFO - Iter [93750/160000] lr: 9.375e-06, eta: 3:49:49, time: 0.163, data_time: 0.008, memory: 52541, decode.loss_ce: 0.0408, decode.acc_seg: 98.1922, loss: 0.0408 +2023-03-04 06:37:23,190 - mmseg - INFO - Iter [93800/160000] lr: 9.375e-06, eta: 3:49:37, time: 0.169, data_time: 0.007, memory: 52541, decode.loss_ce: 0.0426, decode.acc_seg: 98.1458, loss: 0.0426 +2023-03-04 06:37:31,967 - mmseg - INFO - Iter [93850/160000] lr: 9.375e-06, eta: 3:49:25, time: 0.175, data_time: 0.007, memory: 52541, decode.loss_ce: 0.0440, decode.acc_seg: 98.0820, loss: 0.0440 +2023-03-04 06:37:40,327 - mmseg - INFO - Iter [93900/160000] lr: 9.375e-06, eta: 3:49:13, time: 0.167, data_time: 0.008, memory: 52541, decode.loss_ce: 0.0440, decode.acc_seg: 98.1228, loss: 0.0440 +2023-03-04 06:37:48,474 - mmseg - INFO - Iter [93950/160000] lr: 9.375e-06, eta: 3:49:01, time: 0.163, data_time: 0.007, memory: 52541, decode.loss_ce: 0.0404, decode.acc_seg: 98.2185, loss: 0.0404 +2023-03-04 06:37:56,598 - mmseg - INFO - Exp name: ablation_segformer_mit_b2_segformer_head_unet_fc_small_multi_step_ade_pretrained_freeze_embed_160k_ade20k151_finetune_ema_wgt.py +2023-03-04 06:37:56,598 - mmseg - INFO - Iter [94000/160000] lr: 9.375e-06, eta: 3:48:49, time: 0.162, data_time: 0.007, memory: 52541, decode.loss_ce: 0.0440, decode.acc_seg: 98.0582, loss: 0.0440 +2023-03-04 06:38:07,476 - mmseg - INFO - Iter [94050/160000] lr: 9.375e-06, eta: 3:48:39, time: 0.218, data_time: 0.054, memory: 52541, decode.loss_ce: 0.0438, decode.acc_seg: 98.1336, loss: 0.0438 +2023-03-04 06:38:15,777 - mmseg - INFO - Iter [94100/160000] lr: 9.375e-06, eta: 3:48:27, time: 0.166, data_time: 0.008, memory: 52541, decode.loss_ce: 0.0451, decode.acc_seg: 98.0397, loss: 0.0451 +2023-03-04 06:38:24,384 - mmseg - INFO - Iter [94150/160000] lr: 9.375e-06, eta: 3:48:16, time: 0.172, data_time: 0.007, memory: 52541, decode.loss_ce: 0.0417, decode.acc_seg: 98.1741, loss: 0.0417 +2023-03-04 06:38:32,461 - mmseg - INFO - Iter [94200/160000] lr: 9.375e-06, eta: 3:48:04, time: 0.162, data_time: 0.007, memory: 52541, decode.loss_ce: 0.0450, decode.acc_seg: 98.0899, loss: 0.0450 +2023-03-04 06:38:40,495 - mmseg - INFO - Iter [94250/160000] lr: 9.375e-06, eta: 3:47:52, time: 0.161, data_time: 0.008, memory: 52541, decode.loss_ce: 0.0441, decode.acc_seg: 98.0988, loss: 0.0441 +2023-03-04 06:38:48,779 - mmseg - INFO - Iter [94300/160000] lr: 9.375e-06, eta: 3:47:40, time: 0.166, data_time: 0.008, memory: 52541, decode.loss_ce: 0.0430, decode.acc_seg: 98.0967, loss: 0.0430 +2023-03-04 06:38:56,912 - mmseg - INFO - Iter [94350/160000] lr: 9.375e-06, eta: 3:47:28, time: 0.163, data_time: 0.007, memory: 52541, decode.loss_ce: 0.0409, decode.acc_seg: 98.2019, loss: 0.0409 +2023-03-04 06:39:05,129 - mmseg - INFO - Iter [94400/160000] lr: 9.375e-06, eta: 3:47:16, time: 0.164, data_time: 0.007, memory: 52541, decode.loss_ce: 0.0431, decode.acc_seg: 98.1340, loss: 0.0431 +2023-03-04 06:39:13,151 - mmseg - INFO - Iter [94450/160000] lr: 9.375e-06, eta: 3:47:04, time: 0.160, data_time: 0.008, memory: 52541, decode.loss_ce: 0.0416, decode.acc_seg: 98.1516, loss: 0.0416 +2023-03-04 06:39:21,769 - mmseg - INFO - Iter [94500/160000] lr: 9.375e-06, eta: 3:46:52, time: 0.172, data_time: 0.007, memory: 52541, decode.loss_ce: 0.0430, decode.acc_seg: 98.1379, loss: 0.0430 +2023-03-04 06:39:30,460 - mmseg - INFO - Iter [94550/160000] lr: 9.375e-06, eta: 3:46:41, time: 0.174, data_time: 0.008, memory: 52541, decode.loss_ce: 0.0427, decode.acc_seg: 98.1341, loss: 0.0427 +2023-03-04 06:39:38,877 - mmseg - INFO - Iter [94600/160000] lr: 9.375e-06, eta: 3:46:29, time: 0.168, data_time: 0.007, memory: 52541, decode.loss_ce: 0.0434, decode.acc_seg: 98.1279, loss: 0.0434 +2023-03-04 06:39:47,054 - mmseg - INFO - Iter [94650/160000] lr: 9.375e-06, eta: 3:46:17, time: 0.164, data_time: 0.007, memory: 52541, decode.loss_ce: 0.0464, decode.acc_seg: 97.9972, loss: 0.0464 +2023-03-04 06:39:58,760 - mmseg - INFO - Iter [94700/160000] lr: 9.375e-06, eta: 3:46:08, time: 0.234, data_time: 0.055, memory: 52541, decode.loss_ce: 0.0471, decode.acc_seg: 97.9814, loss: 0.0471 +2023-03-04 06:40:07,003 - mmseg - INFO - Iter [94750/160000] lr: 9.375e-06, eta: 3:45:56, time: 0.165, data_time: 0.008, memory: 52541, decode.loss_ce: 0.0415, decode.acc_seg: 98.1538, loss: 0.0415 +2023-03-04 06:40:15,691 - mmseg - INFO - Iter [94800/160000] lr: 9.375e-06, eta: 3:45:44, time: 0.174, data_time: 0.008, memory: 52541, decode.loss_ce: 0.0433, decode.acc_seg: 98.1049, loss: 0.0433 +2023-03-04 06:40:23,918 - mmseg - INFO - Iter [94850/160000] lr: 9.375e-06, eta: 3:45:32, time: 0.165, data_time: 0.007, memory: 52541, decode.loss_ce: 0.0451, decode.acc_seg: 98.0725, loss: 0.0451 +2023-03-04 06:40:32,181 - mmseg - INFO - Iter [94900/160000] lr: 9.375e-06, eta: 3:45:20, time: 0.165, data_time: 0.008, memory: 52541, decode.loss_ce: 0.0437, decode.acc_seg: 98.0753, loss: 0.0437 +2023-03-04 06:40:40,598 - mmseg - INFO - Iter [94950/160000] lr: 9.375e-06, eta: 3:45:09, time: 0.168, data_time: 0.007, memory: 52541, decode.loss_ce: 0.0425, decode.acc_seg: 98.1497, loss: 0.0425 +2023-03-04 06:40:48,895 - mmseg - INFO - Exp name: ablation_segformer_mit_b2_segformer_head_unet_fc_small_multi_step_ade_pretrained_freeze_embed_160k_ade20k151_finetune_ema_wgt.py +2023-03-04 06:40:48,896 - mmseg - INFO - Iter [95000/160000] lr: 9.375e-06, eta: 3:44:57, time: 0.166, data_time: 0.008, memory: 52541, decode.loss_ce: 0.0443, decode.acc_seg: 98.1005, loss: 0.0443 +2023-03-04 06:40:57,214 - mmseg - INFO - Iter [95050/160000] lr: 9.375e-06, eta: 3:44:45, time: 0.167, data_time: 0.008, memory: 52541, decode.loss_ce: 0.0413, decode.acc_seg: 98.1954, loss: 0.0413 +2023-03-04 06:41:05,584 - mmseg - INFO - Iter [95100/160000] lr: 9.375e-06, eta: 3:44:33, time: 0.167, data_time: 0.007, memory: 52541, decode.loss_ce: 0.0439, decode.acc_seg: 98.0958, loss: 0.0439 +2023-03-04 06:41:14,001 - mmseg - INFO - Iter [95150/160000] lr: 9.375e-06, eta: 3:44:22, time: 0.168, data_time: 0.008, memory: 52541, decode.loss_ce: 0.0425, decode.acc_seg: 98.1327, loss: 0.0425 +2023-03-04 06:41:22,285 - mmseg - INFO - Iter [95200/160000] lr: 9.375e-06, eta: 3:44:10, time: 0.165, data_time: 0.007, memory: 52541, decode.loss_ce: 0.0403, decode.acc_seg: 98.2376, loss: 0.0403 +2023-03-04 06:41:31,185 - mmseg - INFO - Iter [95250/160000] lr: 9.375e-06, eta: 3:43:58, time: 0.178, data_time: 0.007, memory: 52541, decode.loss_ce: 0.0424, decode.acc_seg: 98.1634, loss: 0.0424 +2023-03-04 06:41:41,903 - mmseg - INFO - Iter [95300/160000] lr: 9.375e-06, eta: 3:43:48, time: 0.214, data_time: 0.055, memory: 52541, decode.loss_ce: 0.0395, decode.acc_seg: 98.2560, loss: 0.0395 +2023-03-04 06:41:50,526 - mmseg - INFO - Iter [95350/160000] lr: 9.375e-06, eta: 3:43:37, time: 0.172, data_time: 0.007, memory: 52541, decode.loss_ce: 0.0447, decode.acc_seg: 98.0630, loss: 0.0447 +2023-03-04 06:41:58,866 - mmseg - INFO - Iter [95400/160000] lr: 9.375e-06, eta: 3:43:25, time: 0.167, data_time: 0.008, memory: 52541, decode.loss_ce: 0.0411, decode.acc_seg: 98.1732, loss: 0.0411 +2023-03-04 06:42:07,248 - mmseg - INFO - Iter [95450/160000] lr: 9.375e-06, eta: 3:43:13, time: 0.168, data_time: 0.007, memory: 52541, decode.loss_ce: 0.0404, decode.acc_seg: 98.2056, loss: 0.0404 +2023-03-04 06:42:15,334 - mmseg - INFO - Iter [95500/160000] lr: 9.375e-06, eta: 3:43:01, time: 0.162, data_time: 0.007, memory: 52541, decode.loss_ce: 0.0422, decode.acc_seg: 98.1643, loss: 0.0422 +2023-03-04 06:42:23,522 - mmseg - INFO - Iter [95550/160000] lr: 9.375e-06, eta: 3:42:49, time: 0.164, data_time: 0.007, memory: 52541, decode.loss_ce: 0.0417, decode.acc_seg: 98.1612, loss: 0.0417 +2023-03-04 06:42:31,885 - mmseg - INFO - Iter [95600/160000] lr: 9.375e-06, eta: 3:42:38, time: 0.167, data_time: 0.007, memory: 52541, decode.loss_ce: 0.0428, decode.acc_seg: 98.1406, loss: 0.0428 +2023-03-04 06:42:40,522 - mmseg - INFO - Iter [95650/160000] lr: 9.375e-06, eta: 3:42:26, time: 0.173, data_time: 0.007, memory: 52541, decode.loss_ce: 0.0454, decode.acc_seg: 98.0374, loss: 0.0454 +2023-03-04 06:42:48,814 - mmseg - INFO - Iter [95700/160000] lr: 9.375e-06, eta: 3:42:14, time: 0.166, data_time: 0.007, memory: 52541, decode.loss_ce: 0.0416, decode.acc_seg: 98.1316, loss: 0.0416 +2023-03-04 06:42:57,426 - mmseg - INFO - Iter [95750/160000] lr: 9.375e-06, eta: 3:42:03, time: 0.172, data_time: 0.007, memory: 52541, decode.loss_ce: 0.0427, decode.acc_seg: 98.1567, loss: 0.0427 +2023-03-04 06:43:05,962 - mmseg - INFO - Iter [95800/160000] lr: 9.375e-06, eta: 3:41:51, time: 0.171, data_time: 0.008, memory: 52541, decode.loss_ce: 0.0423, decode.acc_seg: 98.1309, loss: 0.0423 +2023-03-04 06:43:14,305 - mmseg - INFO - Iter [95850/160000] lr: 9.375e-06, eta: 3:41:40, time: 0.167, data_time: 0.008, memory: 52541, decode.loss_ce: 0.0418, decode.acc_seg: 98.1901, loss: 0.0418 +2023-03-04 06:43:22,523 - mmseg - INFO - Iter [95900/160000] lr: 9.375e-06, eta: 3:41:28, time: 0.164, data_time: 0.007, memory: 52541, decode.loss_ce: 0.0412, decode.acc_seg: 98.2155, loss: 0.0412 +2023-03-04 06:43:33,638 - mmseg - INFO - Iter [95950/160000] lr: 9.375e-06, eta: 3:41:18, time: 0.222, data_time: 0.057, memory: 52541, decode.loss_ce: 0.0432, decode.acc_seg: 98.1558, loss: 0.0432 +2023-03-04 06:43:41,732 - mmseg - INFO - Swap parameters (after train) after iter [96000] +2023-03-04 06:43:41,745 - mmseg - INFO - Saving checkpoint at 96000 iterations +2023-03-04 06:43:42,772 - mmseg - INFO - Exp name: ablation_segformer_mit_b2_segformer_head_unet_fc_small_multi_step_ade_pretrained_freeze_embed_160k_ade20k151_finetune_ema_wgt.py +2023-03-04 06:43:42,772 - mmseg - INFO - Iter [96000/160000] lr: 9.375e-06, eta: 3:41:07, time: 0.183, data_time: 0.008, memory: 52541, decode.loss_ce: 0.0444, decode.acc_seg: 98.0738, loss: 0.0444 +2023-03-04 06:54:37,833 - mmseg - INFO - per class results: +2023-03-04 06:54:37,844 - mmseg - INFO - ++---------------------+-------------------------------------------------------------------+ +| Class | IoU 0,10,20,30,40,50,60,70,80,90,99 | ++---------------------+-------------------------------------------------------------------+ +| background | nan,nan,nan,nan,nan,nan,nan,nan,nan,nan,nan | +| wall | 76.82,75.69,73.75,70.24,65.9,61.45,57.5,54.21,51.67,49.76,48.58 | +| building | 81.31,80.88,80.21,78.63,76.04,72.71,69.36,66.44,64.14,62.46,61.44 | +| sky | 94.44,94.08,93.5,91.99,89.22,85.55,81.71,78.37,75.72,73.63,72.18 | +| floor | 81.34,80.33,78.86,75.9,71.67,67.02,62.76,59.14,56.4,54.47,53.28 | +| tree | 74.01,72.94,71.09,67.21,61.71,55.42,49.84,45.49,42.17,39.66,38.0 | +| ceiling | 84.41,83.7,80.64,74.37,66.35,58.37,51.34,45.35,40.33,36.32,33.5 | +| road | 81.64,80.89,79.27,76.58,73.6,70.66,67.92,65.66,63.84,62.45,61.52 | +| bed | 87.33,87.8,86.81,84.63,81.06,76.43,71.57,67.16,63.52,60.83,59.22 | +| windowpane | 60.0,59.82,58.44,55.73,52.23,48.39,44.63,41.32,38.65,36.59,35.34 | +| grass | 66.82,66.04,64.88,62.49,59.66,57.11,54.83,52.88,51.36,50.2,49.48 | +| cabinet | 59.74,60.67,59.69,57.85,55.11,51.82,48.44,45.52,43.11,41.25,39.97 | +| sidewalk | 62.81,61.07,57.25,51.52,46.16,42.48,39.97,38.23,36.99,36.17,35.7 | +| person | 78.65,78.2,76.7,73.75,68.89,62.5,55.74,49.55,44.69,41.24,39.26 | +| earth | 35.71,36.02,36.05,35.65,34.83,33.84,32.88,32.07,31.5,31.06,30.84 | +| door | 44.51,42.62,40.26,37.53,34.63,31.85,29.28,26.91,25.07,23.62,22.47 | +| table | 58.82,59.04,57.7,54.59,49.58,43.59,37.87,32.91,29.39,27.11,25.73 | +| mountain | 55.6,55.5,55.18,53.83,51.75,49.05,46.54,44.36,42.71,41.53,40.86 | +| plant | 50.59,49.07,48.12,45.79,42.53,38.78,35.27,32.33,30.21,28.77,28.05 | +| curtain | 73.94,74.03,71.97,67.7,62.24,55.73,49.79,45.14,41.43,38.67,36.97 | +| chair | 54.32,53.66,52.9,50.95,47.55,42.85,37.75,32.86,29.2,26.52,24.91 | +| car | 80.88,81.7,80.94,78.9,75.3,69.48,62.83,56.63,51.58,47.69,45.43 | +| water | 56.03,56.73,56.4,55.4,54.03,52.57,51.16,50.0,49.03,48.43,48.13 | +| painting | 70.6,69.36,67.92,66.1,63.79,61.19,58.71,56.5,54.85,53.57,52.66 | +| sofa | 62.34,62.81,62.6,61.95,60.08,56.83,53.04,49.36,46.23,43.81,42.45 | +| shelf | 44.25,43.12,41.9,39.95,37.01,34.4,31.93,29.78,28.09,26.72,25.9 | +| house | 39.27,36.19,36.1,35.72,35.0,34.1,33.0,31.78,30.73,29.96,29.54 | +| sea | 58.91,59.85,59.92,58.94,57.79,56.38,54.99,53.62,52.36,51.37,50.8 | +| mirror | 63.58,63.23,62.08,60.02,57.16,53.63,49.93,46.01,42.8,40.42,38.51 | +| rug | 64.73,63.67,62.48,59.69,55.16,50.21,45.39,41.27,38.3,36.53,35.54 | +| field | 30.76,29.99,29.76,29.34,28.88,28.49,28.18,27.97,27.81,27.68,27.6 | +| armchair | 37.09,37.78,37.46,36.89,35.64,33.75,31.33,28.76,26.14,23.98,22.56 | +| seat | 65.89,64.93,64.28,62.07,59.39,56.85,54.1,51.5,49.35,47.7,46.74 | +| fence | 39.88,40.7,38.84,36.06,32.99,29.94,27.19,24.98,23.54,22.36,21.85 | +| desk | 46.25,47.45,46.46,43.99,41.01,37.82,34.87,32.13,30.08,28.46,27.38 | +| rock | 37.08,34.89,33.8,32.21,30.5,28.67,27.07,25.79,24.73,24.04,23.53 | +| wardrobe | 55.72,56.5,55.18,52.85,50.67,48.42,46.04,44.15,42.69,41.66,41.13 | +| lamp | 60.27,59.64,59.71,58.19,55.52,51.03,45.69,40.17,35.04,31.03,28.41 | +| bathtub | 72.3,74.2,73.89,71.48,67.88,62.97,57.56,52.15,47.6,44.34,42.37 | +| railing | 34.29,34.17,33.0,31.1,28.35,25.26,23.04,21.33,20.45,20.01,19.69 | +| cushion | 53.77,55.24,54.77,53.9,51.74,48.58,43.91,38.65,33.03,28.23,25.31 | +| base | 21.44,21.29,20.93,20.08,18.86,17.54,16.4,15.38,14.48,13.9,13.69 | +| box | 21.8,22.6,21.99,20.8,19.12,17.73,16.59,15.6,14.78,14.17,13.68 | +| column | 45.26,45.27,44.04,40.85,36.93,32.61,28.97,25.76,23.5,22.02,21.28 | +| signboard | 36.91,35.02,34.15,32.71,30.2,27.48,24.93,22.69,20.86,19.15,18.09 | +| chest of drawers | 37.48,35.98,35.72,34.84,34.14,33.09,31.89,30.36,28.95,27.86,27.11 | +| counter | 30.69,32.61,32.97,32.03,29.8,27.72,25.44,23.82,22.32,21.29,20.47 | +| sand | 39.09,39.03,39.2,38.8,38.7,38.57,38.24,37.75,37.49,37.43,37.54 | +| sink | 67.2,67.08,66.88,64.71,60.73,54.7,47.63,40.66,34.65,29.95,26.76 | +| skyscraper | 48.82,50.02,49.81,48.92,47.71,46.1,44.53,42.93,41.59,40.42,39.47 | +| fireplace | 73.42,73.75,73.23,72.36,70.11,67.14,63.49,59.5,55.31,51.83,49.7 | +| refrigerator | 69.2,70.28,68.59,66.25,63.18,59.87,56.3,52.62,48.61,45.1,42.73 | +| grandstand | 49.39,53.87,53.36,53.48,53.11,51.05,48.41,46.14,43.74,41.65,40.51 | +| path | 19.51,20.8,21.26,20.42,18.02,16.0,14.76,14.01,13.36,12.87,12.72 | +| stairs | 34.84,33.4,31.78,30.71,28.62,26.1,23.8,21.68,19.74,18.81,18.34 | +| runway | 65.65,65.59,64.95,64.01,62.63,61.68,60.71,59.75,59.07,58.4,57.93 | +| case | 46.53,48.76,48.03,46.52,44.8,43.41,42.26,41.28,40.51,39.78,39.32 | +| pool table | 91.51,91.85,90.65,88.64,85.29,80.31,75.03,69.66,65.26,62.18,59.91 | +| pillow | 57.83,60.79,60.78,58.26,53.51,46.39,38.18,30.69,24.68,20.57,18.69 | +| screen door | 68.23,65.09,60.89,56.72,51.58,47.65,43.66,39.54,35.84,32.37,30.15 | +| stairway | 23.68,23.84,22.87,21.95,20.45,18.63,17.01,15.68,15.05,14.6,13.92 | +| river | 11.62,11.56,11.43,11.28,11.08,10.61,10.37,10.13,9.96,9.86,9.75 | +| bridge | 33.72,31.14,29.94,28.81,26.48,23.32,21.11,19.54,18.28,17.35,16.82 | +| bookcase | 45.05,44.37,43.46,41.3,37.85,34.97,31.38,28.67,26.47,24.64,23.71 | +| blind | 37.66,35.9,35.91,35.51,34.95,34.37,33.41,32.16,31.07,29.88,28.77 | +| coffee table | 53.33,54.6,55.26,54.15,51.2,47.52,42.98,38.46,34.46,31.21,28.98 | +| toilet | 82.23,82.27,82.49,81.11,78.72,74.94,70.57,65.45,60.61,56.28,53.47 | +| flower | 39.06,37.37,36.15,33.33,30.06,26.37,22.37,18.94,16.46,14.64,13.62 | +| book | 44.11,42.35,41.74,41.06,39.09,36.79,33.77,31.35,29.44,27.91,27.0 | +| hill | 14.43,15.08,14.87,14.49,14.12,13.06,12.07,11.29,10.76,10.36,9.96 | +| bench | 40.74,39.91,39.23,37.82,36.21,34.07,32.41,30.84,29.32,27.89,27.15 | +| countertop | 51.08,53.99,53.73,51.97,47.75,42.24,37.65,33.24,29.48,26.79,25.27 | +| stove | 70.35,68.45,67.41,64.95,61.09,57.28,52.65,48.49,44.27,40.86,38.59 | +| palm | 48.75,47.66,47.54,44.3,40.2,36.81,33.37,29.36,26.63,24.73,23.51 | +| kitchen island | 39.56,38.35,38.42,38.69,38.48,37.23,34.83,32.63,30.52,28.57,27.2 | +| computer | 57.98,59.68,57.87,55.71,53.46,50.79,48.39,45.49,43.02,41.17,39.81 | +| swivel chair | 42.8,44.11,44.78,43.81,42.39,40.27,37.22,33.99,31.01,28.83,27.84 | +| boat | 71.41,72.35,72.13,69.31,65.45,61.03,56.28,52.43,49.46,47.51,46.39 | +| bar | 21.75,22.74,22.83,21.8,20.02,18.44,17.12,15.86,14.75,13.71,13.0 | +| arcade machine | 70.96,66.78,64.44,60.66,54.67,48.32,42.92,38.37,34.05,30.17,26.8 | +| hovel | 24.22,24.19,22.26,20.46,19.48,18.29,16.9,15.39,14.06,12.77,11.79 | +| bus | 74.01,77.48,79.85,78.72,76.61,73.37,69.34,66.0,63.5,61.59,60.59 | +| towel | 59.07,62.34,62.0,58.6,53.4,47.24,40.95,36.17,32.06,28.56,26.47 | +| light | 49.49,53.5,55.1,54.05,51.53,47.34,41.48,36.14,31.65,28.32,26.16 | +| truck | 16.43,18.27,19.73,19.72,18.87,18.37,17.18,16.03,14.35,12.97,12.25 | +| tower | 10.31,9.36,9.67,8.76,7.55,6.5,5.29,4.43,3.69,3.17,2.87 | +| chandelier | 63.8,63.76,62.82,60.86,57.01,51.67,45.32,38.47,32.52,27.96,24.82 | +| awning | 23.01,22.15,20.86,19.59,17.13,13.98,10.21,7.31,5.68,4.44,3.89 | +| streetlight | 23.24,25.05,25.2,25.05,23.08,20.75,17.63,15.26,12.99,10.8,9.41 | +| booth | 38.19,35.1,35.0,34.29,33.52,32.22,30.61,29.42,28.37,27.36,26.55 | +| television receiver | 63.16,65.36,64.53,62.08,59.58,55.79,52.78,49.32,45.77,42.24,39.35 | +| airplane | 57.55,61.11,59.12,55.92,50.39,44.28,39.51,35.19,32.06,30.27,28.99 | +| dirt track | 16.82,18.47,18.63,18.54,18.44,17.79,17.34,16.86,16.19,15.87,15.8 | +| apparel | 32.99,33.01,31.56,29.9,28.02,24.78,21.87,19.77,18.17,17.29,16.83 | +| pole | 17.21,17.19,16.58,15.92,14.03,11.44,9.46,7.25,6.01,5.54,5.07 | +| land | 2.89,4.59,4.88,5.08,6.07,6.66,6.88,7.08,7.22,7.24,7.34 | +| bannister | 11.15,11.05,9.77,9.17,9.02,7.26,6.27,5.27,4.8,4.76,4.77 | +| escalator | 23.29,20.35,20.56,20.16,19.44,18.62,17.76,17.32,16.64,16.09,15.64 | +| ottoman | 43.17,41.96,42.52,40.38,38.2,35.7,33.1,30.79,28.73,26.86,25.58 | +| bottle | 32.85,33.47,32.88,30.67,28.4,26.05,23.8,22.22,21.16,20.41,20.04 | +| buffet | 32.79,36.61,36.11,34.62,33.34,32.11,30.2,28.55,26.94,25.88,25.24 | +| poster | 23.13,23.86,24.14,24.53,24.35,24.08,24.12,23.51,22.97,22.01,21.13 | +| stage | 13.17,13.37,13.43,13.19,12.86,12.49,11.94,11.58,11.17,10.91,10.72 | +| van | 40.39,38.48,38.03,36.84,35.0,33.0,30.69,28.46,26.77,26.15,25.86 | +| ship | 75.94,78.77,81.01,82.16,82.12,82.45,82.32,80.77,79.53,78.74,78.44 | +| fountain | 13.62,16.24,14.62,12.86,11.09,9.15,7.74,6.37,5.13,4.28,3.83 | +| conveyer belt | 82.42,84.88,84.88,82.1,78.84,74.33,71.9,68.82,65.87,63.07,60.38 | +| canopy | 22.12,26.55,25.92,23.31,20.18,17.29,15.16,13.54,12.09,10.55,9.45 | +| washer | 78.82,75.7,73.55,70.51,66.6,62.39,58.6,56.19,53.71,52.22,51.26 | +| plaything | 18.92,20.57,22.62,21.98,19.38,16.22,13.31,11.17,9.11,7.84,6.99 | +| swimming pool | 73.04,75.21,75.29,74.57,74.52,73.52,70.35,66.2,61.18,55.52,50.3 | +| stool | 41.34,41.22,41.02,38.13,32.83,27.66,22.26,18.05,15.52,14.25,13.39 | +| barrel | 35.12,42.87,48.28,43.11,30.04,26.6,26.56,24.71,24.02,23.89,24.25 | +| basket | 21.82,24.08,24.39,24.0,22.62,20.49,18.37,15.94,13.6,11.52,10.24 | +| waterfall | 48.41,45.21,44.46,43.82,41.78,38.63,36.22,35.17,34.42,34.01,33.48 | +| tent | 93.38,95.6,94.4,90.33,85.14,79.77,75.17,69.52,64.54,59.67,55.76 | +| bag | 14.53,15.32,15.0,13.61,11.18,9.61,7.85,6.46,5.19,4.42,3.97 | +| minibike | 59.19,62.91,64.47,62.73,59.12,53.7,47.08,41.38,36.52,33.72,31.6 | +| cradle | 82.52,85.12,81.41,74.74,69.1,63.59,58.6,54.31,50.53,47.87,45.66 | +| oven | 45.68,45.46,43.86,43.62,43.74,43.37,42.06,40.31,39.16,37.79,36.53 | +| ball | 42.6,41.01,38.4,36.07,32.0,28.16,26.05,24.15,23.1,23.03,22.98 | +| food | 44.81,56.72,55.53,52.08,47.74,43.63,40.1,37.21,35.12,33.21,31.96 | +| step | 4.0,5.26,5.3,4.43,2.78,1.25,0.72,0.0,0.0,0.0,0.0 | +| tank | 52.9,50.55,50.03,47.74,45.36,43.07,41.04,39.54,38.07,36.62,35.68 | +| trade name | 25.72,31.13,30.14,28.12,23.89,19.27,14.78,11.43,8.66,6.71,6.16 | +| microwave | 73.63,74.55,73.77,71.38,68.99,66.66,63.53,59.77,56.62,54.36,52.83 | +| pot | 29.91,28.6,28.06,26.23,23.68,20.05,17.05,14.12,11.74,10.01,9.01 | +| animal | 54.33,50.09,48.61,46.73,44.29,41.55,38.71,35.79,33.04,31.06,29.51 | +| bicycle | 48.2,50.52,46.51,43.95,39.96,34.75,29.5,24.91,21.79,19.72,18.6 | +| lake | 56.07,56.24,56.43,56.42,56.52,56.04,55.78,55.54,55.3,55.14,55.01 | +| dishwasher | 66.38,65.56,64.35,62.82,59.83,56.48,53.11,50.43,47.16,44.43,42.23 | +| screen | 70.73,70.68,73.27,72.77,71.1,69.59,68.92,68.26,67.69,67.49,67.13 | +| blanket | 14.43,18.03,15.94,14.18,11.87,9.92,8.69,7.37,6.35,5.88,5.79 | +| sculpture | 56.69,57.27,54.69,50.81,46.49,41.92,38.68,36.12,35.38,34.63,34.17 | +| hood | 59.67,61.49,60.17,58.9,55.23,49.99,44.94,41.28,37.44,35.47,34.58 | +| sconce | 38.38,38.99,39.03,37.53,34.75,31.64,28.8,24.33,19.77,16.15,14.75 | +| vase | 34.23,35.44,33.23,31.9,30.77,28.03,25.26,22.26,19.42,16.76,15.23 | +| traffic light | 28.76,30.54,31.36,28.77,24.91,22.01,19.06,15.24,13.86,12.42,10.95 | +| tray | 4.28,4.52,5.47,5.53,5.44,4.62,3.79,2.98,2.8,2.39,2.04 | +| ashcan | 41.02,43.7,42.02,41.1,39.33,35.87,32.7,29.38,25.5,22.59,20.64 | +| fan | 54.87,56.59,57.63,56.75,55.0,50.53,43.94,38.73,33.31,28.92,26.11 | +| pier | 39.39,17.42,20.5,20.62,19.01,17.92,16.53,16.09,15.88,15.77,15.76 | +| crt screen | 10.36,9.52,10.09,10.3,10.25,9.2,8.32,7.31,7.83,7.88,7.96 | +| plate | 43.78,49.64,48.68,46.59,43.09,39.79,34.85,29.27,24.94,21.84,18.94 | +| monitor | 20.48,15.17,14.16,13.88,13.51,12.47,11.67,10.5,9.52,8.61,7.75 | +| bulletin board | 38.4,39.59,37.88,36.88,33.56,31.4,27.45,22.71,18.6,15.17,12.93 | +| shower | 0.73,0.37,0.12,0.0,0.0,0.0,0.0,0.0,0.1,0.16,0.19 | +| radiator | 56.26,58.56,57.25,51.44,43.11,33.78,26.76,22.4,18.48,15.73,14.19 | +| glass | 11.0,11.08,13.11,12.97,12.07,11.14,9.18,7.21,5.72,4.87,4.41 | +| clock | 30.24,29.21,28.85,25.75,22.74,19.16,15.58,11.65,8.61,7.01,6.17 | +| flag | 32.31,27.73,26.46,24.48,23.8,22.04,19.44,16.9,14.96,13.61,12.92 | ++---------------------+-------------------------------------------------------------------+ +2023-03-04 06:54:37,844 - mmseg - INFO - Summary: +2023-03-04 06:54:37,845 - mmseg - INFO - ++-----------------------------------------------------------------+ +| mIoU 0,10,20,30,40,50,60,70,80,90,99 | ++-----------------------------------------------------------------+ +| 46.97,47.21,46.6,44.87,42.29,39.33,36.35,33.6,31.31,29.56,28.41 | ++-----------------------------------------------------------------+ +2023-03-04 06:54:37,845 - mmseg - INFO - Exp name: ablation_segformer_mit_b2_segformer_head_unet_fc_small_multi_step_ade_pretrained_freeze_embed_160k_ade20k151_finetune_ema_wgt.py +2023-03-04 06:54:37,845 - mmseg - INFO - Iter(val) [250] mIoU: [0.4697, 0.4721, 0.466, 0.4487, 0.4229, 0.3933, 0.3635, 0.336, 0.3131, 0.2956, 0.2841], copy_paste: 46.97,47.21,46.6,44.87,42.29,39.33,36.35,33.6,31.31,29.56,28.41 +2023-03-04 06:54:37,853 - mmseg - INFO - Swap parameters (before train) before iter [96001] +2023-03-04 06:54:46,323 - mmseg - INFO - Iter [96050/160000] lr: 9.375e-06, eta: 3:48:11, time: 13.271, data_time: 13.109, memory: 52541, decode.loss_ce: 0.0426, decode.acc_seg: 98.1440, loss: 0.0426 +2023-03-04 06:54:54,735 - mmseg - INFO - Iter [96100/160000] lr: 9.375e-06, eta: 3:47:59, time: 0.168, data_time: 0.007, memory: 52541, decode.loss_ce: 0.0431, decode.acc_seg: 98.1182, loss: 0.0431 +2023-03-04 06:55:03,102 - mmseg - INFO - Iter [96150/160000] lr: 9.375e-06, eta: 3:47:47, time: 0.167, data_time: 0.007, memory: 52541, decode.loss_ce: 0.0397, decode.acc_seg: 98.2342, loss: 0.0397 +2023-03-04 06:55:11,917 - mmseg - INFO - Iter [96200/160000] lr: 9.375e-06, eta: 3:47:35, time: 0.177, data_time: 0.009, memory: 52541, decode.loss_ce: 0.0433, decode.acc_seg: 98.1175, loss: 0.0433 +2023-03-04 06:55:20,294 - mmseg - INFO - Iter [96250/160000] lr: 9.375e-06, eta: 3:47:23, time: 0.167, data_time: 0.008, memory: 52541, decode.loss_ce: 0.0442, decode.acc_seg: 98.0602, loss: 0.0442 +2023-03-04 06:55:28,510 - mmseg - INFO - Iter [96300/160000] lr: 9.375e-06, eta: 3:47:10, time: 0.165, data_time: 0.007, memory: 52541, decode.loss_ce: 0.0453, decode.acc_seg: 98.0150, loss: 0.0453 +2023-03-04 06:55:37,198 - mmseg - INFO - Iter [96350/160000] lr: 9.375e-06, eta: 3:46:58, time: 0.174, data_time: 0.007, memory: 52541, decode.loss_ce: 0.0423, decode.acc_seg: 98.1737, loss: 0.0423 +2023-03-04 06:55:45,805 - mmseg - INFO - Iter [96400/160000] lr: 9.375e-06, eta: 3:46:46, time: 0.172, data_time: 0.007, memory: 52541, decode.loss_ce: 0.0424, decode.acc_seg: 98.1780, loss: 0.0424 +2023-03-04 06:55:54,089 - mmseg - INFO - Iter [96450/160000] lr: 9.375e-06, eta: 3:46:34, time: 0.166, data_time: 0.008, memory: 52541, decode.loss_ce: 0.0409, decode.acc_seg: 98.2145, loss: 0.0409 +2023-03-04 06:56:02,320 - mmseg - INFO - Iter [96500/160000] lr: 9.375e-06, eta: 3:46:21, time: 0.165, data_time: 0.007, memory: 52541, decode.loss_ce: 0.0448, decode.acc_seg: 98.0414, loss: 0.0448 +2023-03-04 06:56:12,995 - mmseg - INFO - Iter [96550/160000] lr: 9.375e-06, eta: 3:46:11, time: 0.214, data_time: 0.054, memory: 52541, decode.loss_ce: 0.0432, decode.acc_seg: 98.1385, loss: 0.0432 +2023-03-04 06:56:21,180 - mmseg - INFO - Iter [96600/160000] lr: 9.375e-06, eta: 3:45:58, time: 0.164, data_time: 0.007, memory: 52541, decode.loss_ce: 0.0447, decode.acc_seg: 98.0632, loss: 0.0447 +2023-03-04 06:56:29,672 - mmseg - INFO - Iter [96650/160000] lr: 9.375e-06, eta: 3:45:46, time: 0.170, data_time: 0.007, memory: 52541, decode.loss_ce: 0.0407, decode.acc_seg: 98.2273, loss: 0.0407 +2023-03-04 06:56:38,160 - mmseg - INFO - Iter [96700/160000] lr: 9.375e-06, eta: 3:45:34, time: 0.170, data_time: 0.008, memory: 52541, decode.loss_ce: 0.0436, decode.acc_seg: 98.1302, loss: 0.0436 +2023-03-04 06:56:46,661 - mmseg - INFO - Iter [96750/160000] lr: 9.375e-06, eta: 3:45:22, time: 0.170, data_time: 0.007, memory: 52541, decode.loss_ce: 0.0448, decode.acc_seg: 98.0679, loss: 0.0448 +2023-03-04 06:56:55,090 - mmseg - INFO - Iter [96800/160000] lr: 9.375e-06, eta: 3:45:10, time: 0.168, data_time: 0.007, memory: 52541, decode.loss_ce: 0.0439, decode.acc_seg: 98.1038, loss: 0.0439 +2023-03-04 06:57:03,667 - mmseg - INFO - Iter [96850/160000] lr: 9.375e-06, eta: 3:44:58, time: 0.171, data_time: 0.007, memory: 52541, decode.loss_ce: 0.0429, decode.acc_seg: 98.1208, loss: 0.0429 +2023-03-04 06:57:11,995 - mmseg - INFO - Iter [96900/160000] lr: 9.375e-06, eta: 3:44:46, time: 0.167, data_time: 0.007, memory: 52541, decode.loss_ce: 0.0417, decode.acc_seg: 98.1693, loss: 0.0417 +2023-03-04 06:57:20,299 - mmseg - INFO - Iter [96950/160000] lr: 9.375e-06, eta: 3:44:33, time: 0.166, data_time: 0.007, memory: 52541, decode.loss_ce: 0.0422, decode.acc_seg: 98.1551, loss: 0.0422 +2023-03-04 06:57:28,734 - mmseg - INFO - Exp name: ablation_segformer_mit_b2_segformer_head_unet_fc_small_multi_step_ade_pretrained_freeze_embed_160k_ade20k151_finetune_ema_wgt.py +2023-03-04 06:57:28,735 - mmseg - INFO - Iter [97000/160000] lr: 9.375e-06, eta: 3:44:21, time: 0.169, data_time: 0.007, memory: 52541, decode.loss_ce: 0.0423, decode.acc_seg: 98.1578, loss: 0.0423 +2023-03-04 06:57:37,441 - mmseg - INFO - Iter [97050/160000] lr: 9.375e-06, eta: 3:44:09, time: 0.174, data_time: 0.007, memory: 52541, decode.loss_ce: 0.0423, decode.acc_seg: 98.1442, loss: 0.0423 +2023-03-04 06:57:45,854 - mmseg - INFO - Iter [97100/160000] lr: 9.375e-06, eta: 3:43:57, time: 0.168, data_time: 0.007, memory: 52541, decode.loss_ce: 0.0409, decode.acc_seg: 98.2254, loss: 0.0409 +2023-03-04 06:57:54,645 - mmseg - INFO - Iter [97150/160000] lr: 9.375e-06, eta: 3:43:45, time: 0.176, data_time: 0.008, memory: 52541, decode.loss_ce: 0.0426, decode.acc_seg: 98.1238, loss: 0.0426 +2023-03-04 06:58:05,246 - mmseg - INFO - Iter [97200/160000] lr: 9.375e-06, eta: 3:43:34, time: 0.212, data_time: 0.054, memory: 52541, decode.loss_ce: 0.0385, decode.acc_seg: 98.2971, loss: 0.0385 +2023-03-04 06:58:14,050 - mmseg - INFO - Iter [97250/160000] lr: 9.375e-06, eta: 3:43:23, time: 0.176, data_time: 0.007, memory: 52541, decode.loss_ce: 0.0453, decode.acc_seg: 98.0548, loss: 0.0453 +2023-03-04 06:58:22,397 - mmseg - INFO - Iter [97300/160000] lr: 9.375e-06, eta: 3:43:10, time: 0.167, data_time: 0.008, memory: 52541, decode.loss_ce: 0.0414, decode.acc_seg: 98.2014, loss: 0.0414 +2023-03-04 06:58:30,787 - mmseg - INFO - Iter [97350/160000] lr: 9.375e-06, eta: 3:42:58, time: 0.168, data_time: 0.007, memory: 52541, decode.loss_ce: 0.0441, decode.acc_seg: 98.1003, loss: 0.0441 +2023-03-04 06:58:39,090 - mmseg - INFO - Iter [97400/160000] lr: 9.375e-06, eta: 3:42:46, time: 0.166, data_time: 0.007, memory: 52541, decode.loss_ce: 0.0412, decode.acc_seg: 98.1856, loss: 0.0412 +2023-03-04 06:58:47,446 - mmseg - INFO - Iter [97450/160000] lr: 9.375e-06, eta: 3:42:34, time: 0.167, data_time: 0.008, memory: 52541, decode.loss_ce: 0.0451, decode.acc_seg: 98.0182, loss: 0.0451 +2023-03-04 06:58:55,897 - mmseg - INFO - Iter [97500/160000] lr: 9.375e-06, eta: 3:42:22, time: 0.169, data_time: 0.007, memory: 52541, decode.loss_ce: 0.0422, decode.acc_seg: 98.1475, loss: 0.0422 +2023-03-04 06:59:04,399 - mmseg - INFO - Iter [97550/160000] lr: 9.375e-06, eta: 3:42:10, time: 0.170, data_time: 0.008, memory: 52541, decode.loss_ce: 0.0446, decode.acc_seg: 98.0822, loss: 0.0446 +2023-03-04 06:59:12,672 - mmseg - INFO - Iter [97600/160000] lr: 9.375e-06, eta: 3:41:57, time: 0.165, data_time: 0.008, memory: 52541, decode.loss_ce: 0.0445, decode.acc_seg: 98.0910, loss: 0.0445 +2023-03-04 06:59:21,137 - mmseg - INFO - Iter [97650/160000] lr: 9.375e-06, eta: 3:41:45, time: 0.170, data_time: 0.008, memory: 52541, decode.loss_ce: 0.0439, decode.acc_seg: 98.0798, loss: 0.0439 +2023-03-04 06:59:29,124 - mmseg - INFO - Iter [97700/160000] lr: 9.375e-06, eta: 3:41:33, time: 0.160, data_time: 0.008, memory: 52541, decode.loss_ce: 0.0406, decode.acc_seg: 98.1891, loss: 0.0406 +2023-03-04 06:59:37,850 - mmseg - INFO - Iter [97750/160000] lr: 9.375e-06, eta: 3:41:21, time: 0.174, data_time: 0.007, memory: 52541, decode.loss_ce: 0.0410, decode.acc_seg: 98.1903, loss: 0.0410 +2023-03-04 06:59:45,947 - mmseg - INFO - Iter [97800/160000] lr: 9.375e-06, eta: 3:41:09, time: 0.162, data_time: 0.007, memory: 52541, decode.loss_ce: 0.0434, decode.acc_seg: 98.1281, loss: 0.0434 +2023-03-04 06:59:57,031 - mmseg - INFO - Iter [97850/160000] lr: 9.375e-06, eta: 3:40:58, time: 0.222, data_time: 0.054, memory: 52541, decode.loss_ce: 0.0431, decode.acc_seg: 98.1061, loss: 0.0431 +2023-03-04 07:00:05,548 - mmseg - INFO - Iter [97900/160000] lr: 9.375e-06, eta: 3:40:46, time: 0.171, data_time: 0.007, memory: 52541, decode.loss_ce: 0.0444, decode.acc_seg: 98.0778, loss: 0.0444 +2023-03-04 07:00:13,718 - mmseg - INFO - Iter [97950/160000] lr: 9.375e-06, eta: 3:40:34, time: 0.163, data_time: 0.008, memory: 52541, decode.loss_ce: 0.0415, decode.acc_seg: 98.1527, loss: 0.0415 +2023-03-04 07:00:22,090 - mmseg - INFO - Exp name: ablation_segformer_mit_b2_segformer_head_unet_fc_small_multi_step_ade_pretrained_freeze_embed_160k_ade20k151_finetune_ema_wgt.py +2023-03-04 07:00:22,090 - mmseg - INFO - Iter [98000/160000] lr: 9.375e-06, eta: 3:40:22, time: 0.167, data_time: 0.007, memory: 52541, decode.loss_ce: 0.0406, decode.acc_seg: 98.2247, loss: 0.0406 +2023-03-04 07:00:30,245 - mmseg - INFO - Iter [98050/160000] lr: 9.375e-06, eta: 3:40:10, time: 0.163, data_time: 0.007, memory: 52541, decode.loss_ce: 0.0417, decode.acc_seg: 98.1381, loss: 0.0417 +2023-03-04 07:00:38,708 - mmseg - INFO - Iter [98100/160000] lr: 9.375e-06, eta: 3:39:58, time: 0.169, data_time: 0.007, memory: 52541, decode.loss_ce: 0.0445, decode.acc_seg: 98.0686, loss: 0.0445 +2023-03-04 07:00:47,034 - mmseg - INFO - Iter [98150/160000] lr: 9.375e-06, eta: 3:39:46, time: 0.167, data_time: 0.008, memory: 52541, decode.loss_ce: 0.0426, decode.acc_seg: 98.1353, loss: 0.0426 +2023-03-04 07:00:55,643 - mmseg - INFO - Iter [98200/160000] lr: 9.375e-06, eta: 3:39:34, time: 0.172, data_time: 0.008, memory: 52541, decode.loss_ce: 0.0444, decode.acc_seg: 98.0652, loss: 0.0444 +2023-03-04 07:01:03,878 - mmseg - INFO - Iter [98250/160000] lr: 9.375e-06, eta: 3:39:21, time: 0.164, data_time: 0.008, memory: 52541, decode.loss_ce: 0.0402, decode.acc_seg: 98.2498, loss: 0.0402 +2023-03-04 07:01:12,482 - mmseg - INFO - Iter [98300/160000] lr: 9.375e-06, eta: 3:39:10, time: 0.172, data_time: 0.008, memory: 52541, decode.loss_ce: 0.0445, decode.acc_seg: 98.0858, loss: 0.0445 +2023-03-04 07:01:20,933 - mmseg - INFO - Iter [98350/160000] lr: 9.375e-06, eta: 3:38:57, time: 0.169, data_time: 0.008, memory: 52541, decode.loss_ce: 0.0420, decode.acc_seg: 98.1631, loss: 0.0420 +2023-03-04 07:01:29,465 - mmseg - INFO - Iter [98400/160000] lr: 9.375e-06, eta: 3:38:45, time: 0.170, data_time: 0.008, memory: 52541, decode.loss_ce: 0.0445, decode.acc_seg: 98.0947, loss: 0.0445 +2023-03-04 07:01:40,329 - mmseg - INFO - Iter [98450/160000] lr: 9.375e-06, eta: 3:38:35, time: 0.218, data_time: 0.054, memory: 52541, decode.loss_ce: 0.0433, decode.acc_seg: 98.0984, loss: 0.0433 +2023-03-04 07:01:48,570 - mmseg - INFO - Iter [98500/160000] lr: 9.375e-06, eta: 3:38:23, time: 0.165, data_time: 0.008, memory: 52541, decode.loss_ce: 0.0433, decode.acc_seg: 98.1137, loss: 0.0433 +2023-03-04 07:01:56,645 - mmseg - INFO - Iter [98550/160000] lr: 9.375e-06, eta: 3:38:11, time: 0.161, data_time: 0.008, memory: 52541, decode.loss_ce: 0.0427, decode.acc_seg: 98.1452, loss: 0.0427 +2023-03-04 07:02:05,268 - mmseg - INFO - Iter [98600/160000] lr: 9.375e-06, eta: 3:37:59, time: 0.172, data_time: 0.007, memory: 52541, decode.loss_ce: 0.0428, decode.acc_seg: 98.1276, loss: 0.0428 +2023-03-04 07:02:13,742 - mmseg - INFO - Iter [98650/160000] lr: 9.375e-06, eta: 3:37:47, time: 0.169, data_time: 0.007, memory: 52541, decode.loss_ce: 0.0409, decode.acc_seg: 98.2072, loss: 0.0409 +2023-03-04 07:02:21,917 - mmseg - INFO - Iter [98700/160000] lr: 9.375e-06, eta: 3:37:34, time: 0.164, data_time: 0.008, memory: 52541, decode.loss_ce: 0.0429, decode.acc_seg: 98.1546, loss: 0.0429 +2023-03-04 07:02:30,520 - mmseg - INFO - Iter [98750/160000] lr: 9.375e-06, eta: 3:37:23, time: 0.172, data_time: 0.007, memory: 52541, decode.loss_ce: 0.0406, decode.acc_seg: 98.2144, loss: 0.0406 +2023-03-04 07:02:38,658 - mmseg - INFO - Iter [98800/160000] lr: 9.375e-06, eta: 3:37:10, time: 0.163, data_time: 0.008, memory: 52541, decode.loss_ce: 0.0418, decode.acc_seg: 98.1771, loss: 0.0418 +2023-03-04 07:02:46,842 - mmseg - INFO - Iter [98850/160000] lr: 9.375e-06, eta: 3:36:58, time: 0.164, data_time: 0.007, memory: 52541, decode.loss_ce: 0.0428, decode.acc_seg: 98.1592, loss: 0.0428 +2023-03-04 07:02:55,639 - mmseg - INFO - Iter [98900/160000] lr: 9.375e-06, eta: 3:36:46, time: 0.176, data_time: 0.007, memory: 52541, decode.loss_ce: 0.0428, decode.acc_seg: 98.1110, loss: 0.0428 +2023-03-04 07:03:04,268 - mmseg - INFO - Iter [98950/160000] lr: 9.375e-06, eta: 3:36:34, time: 0.173, data_time: 0.007, memory: 52541, decode.loss_ce: 0.0433, decode.acc_seg: 98.1526, loss: 0.0433 +2023-03-04 07:03:12,743 - mmseg - INFO - Exp name: ablation_segformer_mit_b2_segformer_head_unet_fc_small_multi_step_ade_pretrained_freeze_embed_160k_ade20k151_finetune_ema_wgt.py +2023-03-04 07:03:12,743 - mmseg - INFO - Iter [99000/160000] lr: 9.375e-06, eta: 3:36:22, time: 0.169, data_time: 0.007, memory: 52541, decode.loss_ce: 0.0449, decode.acc_seg: 98.0714, loss: 0.0449 +2023-03-04 07:03:21,692 - mmseg - INFO - Iter [99050/160000] lr: 9.375e-06, eta: 3:36:11, time: 0.179, data_time: 0.008, memory: 52541, decode.loss_ce: 0.0407, decode.acc_seg: 98.1834, loss: 0.0407 +2023-03-04 07:03:32,649 - mmseg - INFO - Iter [99100/160000] lr: 9.375e-06, eta: 3:36:00, time: 0.219, data_time: 0.056, memory: 52541, decode.loss_ce: 0.0429, decode.acc_seg: 98.1552, loss: 0.0429 +2023-03-04 07:03:40,721 - mmseg - INFO - Iter [99150/160000] lr: 9.375e-06, eta: 3:35:48, time: 0.162, data_time: 0.008, memory: 52541, decode.loss_ce: 0.0426, decode.acc_seg: 98.1402, loss: 0.0426 +2023-03-04 07:03:48,960 - mmseg - INFO - Iter [99200/160000] lr: 9.375e-06, eta: 3:35:36, time: 0.165, data_time: 0.007, memory: 52541, decode.loss_ce: 0.0398, decode.acc_seg: 98.2595, loss: 0.0398 +2023-03-04 07:03:57,330 - mmseg - INFO - Iter [99250/160000] lr: 9.375e-06, eta: 3:35:24, time: 0.167, data_time: 0.007, memory: 52541, decode.loss_ce: 0.0424, decode.acc_seg: 98.1619, loss: 0.0424 +2023-03-04 07:04:05,743 - mmseg - INFO - Iter [99300/160000] lr: 9.375e-06, eta: 3:35:12, time: 0.168, data_time: 0.007, memory: 52541, decode.loss_ce: 0.0442, decode.acc_seg: 98.0592, loss: 0.0442 +2023-03-04 07:04:14,578 - mmseg - INFO - Iter [99350/160000] lr: 9.375e-06, eta: 3:35:00, time: 0.177, data_time: 0.007, memory: 52541, decode.loss_ce: 0.0414, decode.acc_seg: 98.2109, loss: 0.0414 +2023-03-04 07:04:22,790 - mmseg - INFO - Iter [99400/160000] lr: 9.375e-06, eta: 3:34:48, time: 0.164, data_time: 0.007, memory: 52541, decode.loss_ce: 0.0426, decode.acc_seg: 98.1627, loss: 0.0426 +2023-03-04 07:04:31,210 - mmseg - INFO - Iter [99450/160000] lr: 9.375e-06, eta: 3:34:36, time: 0.169, data_time: 0.008, memory: 52541, decode.loss_ce: 0.0439, decode.acc_seg: 98.0862, loss: 0.0439 +2023-03-04 07:04:39,563 - mmseg - INFO - Iter [99500/160000] lr: 9.375e-06, eta: 3:34:24, time: 0.167, data_time: 0.007, memory: 52541, decode.loss_ce: 0.0424, decode.acc_seg: 98.1596, loss: 0.0424 +2023-03-04 07:04:47,816 - mmseg - INFO - Iter [99550/160000] lr: 9.375e-06, eta: 3:34:12, time: 0.165, data_time: 0.007, memory: 52541, decode.loss_ce: 0.0445, decode.acc_seg: 98.0591, loss: 0.0445 +2023-03-04 07:04:55,856 - mmseg - INFO - Iter [99600/160000] lr: 9.375e-06, eta: 3:34:00, time: 0.161, data_time: 0.007, memory: 52541, decode.loss_ce: 0.0408, decode.acc_seg: 98.1896, loss: 0.0408 +2023-03-04 07:05:04,183 - mmseg - INFO - Iter [99650/160000] lr: 9.375e-06, eta: 3:33:48, time: 0.167, data_time: 0.007, memory: 52541, decode.loss_ce: 0.0406, decode.acc_seg: 98.2378, loss: 0.0406 +2023-03-04 07:05:14,929 - mmseg - INFO - Iter [99700/160000] lr: 9.375e-06, eta: 3:33:37, time: 0.215, data_time: 0.056, memory: 52541, decode.loss_ce: 0.0412, decode.acc_seg: 98.2088, loss: 0.0412 +2023-03-04 07:05:23,479 - mmseg - INFO - Iter [99750/160000] lr: 9.375e-06, eta: 3:33:25, time: 0.171, data_time: 0.007, memory: 52541, decode.loss_ce: 0.0432, decode.acc_seg: 98.1089, loss: 0.0432 +2023-03-04 07:05:32,253 - mmseg - INFO - Iter [99800/160000] lr: 9.375e-06, eta: 3:33:14, time: 0.175, data_time: 0.008, memory: 52541, decode.loss_ce: 0.0449, decode.acc_seg: 98.0647, loss: 0.0449 +2023-03-04 07:05:40,705 - mmseg - INFO - Iter [99850/160000] lr: 9.375e-06, eta: 3:33:02, time: 0.169, data_time: 0.007, memory: 52541, decode.loss_ce: 0.0414, decode.acc_seg: 98.2115, loss: 0.0414 +2023-03-04 07:05:48,864 - mmseg - INFO - Iter [99900/160000] lr: 9.375e-06, eta: 3:32:50, time: 0.163, data_time: 0.007, memory: 52541, decode.loss_ce: 0.0403, decode.acc_seg: 98.2235, loss: 0.0403 +2023-03-04 07:05:57,415 - mmseg - INFO - Iter [99950/160000] lr: 9.375e-06, eta: 3:32:38, time: 0.171, data_time: 0.009, memory: 52541, decode.loss_ce: 0.0413, decode.acc_seg: 98.1738, loss: 0.0413 +2023-03-04 07:06:05,710 - mmseg - INFO - Exp name: ablation_segformer_mit_b2_segformer_head_unet_fc_small_multi_step_ade_pretrained_freeze_embed_160k_ade20k151_finetune_ema_wgt.py +2023-03-04 07:06:05,710 - mmseg - INFO - Iter [100000/160000] lr: 9.375e-06, eta: 3:32:26, time: 0.166, data_time: 0.008, memory: 52541, decode.loss_ce: 0.0409, decode.acc_seg: 98.2211, loss: 0.0409 +2023-03-04 07:06:14,069 - mmseg - INFO - Iter [100050/160000] lr: 4.687e-06, eta: 3:32:14, time: 0.167, data_time: 0.007, memory: 52541, decode.loss_ce: 0.0440, decode.acc_seg: 98.0528, loss: 0.0440 +2023-03-04 07:06:22,306 - mmseg - INFO - Iter [100100/160000] lr: 4.687e-06, eta: 3:32:02, time: 0.165, data_time: 0.008, memory: 52541, decode.loss_ce: 0.0435, decode.acc_seg: 98.1149, loss: 0.0435 +2023-03-04 07:06:30,594 - mmseg - INFO - Iter [100150/160000] lr: 4.687e-06, eta: 3:31:50, time: 0.166, data_time: 0.007, memory: 52541, decode.loss_ce: 0.0418, decode.acc_seg: 98.1922, loss: 0.0418 +2023-03-04 07:06:39,065 - mmseg - INFO - Iter [100200/160000] lr: 4.687e-06, eta: 3:31:38, time: 0.169, data_time: 0.007, memory: 52541, decode.loss_ce: 0.0431, decode.acc_seg: 98.1017, loss: 0.0431 +2023-03-04 07:06:47,946 - mmseg - INFO - Iter [100250/160000] lr: 4.687e-06, eta: 3:31:26, time: 0.177, data_time: 0.007, memory: 52541, decode.loss_ce: 0.0398, decode.acc_seg: 98.2223, loss: 0.0398 +2023-03-04 07:06:56,477 - mmseg - INFO - Iter [100300/160000] lr: 4.687e-06, eta: 3:31:14, time: 0.171, data_time: 0.007, memory: 52541, decode.loss_ce: 0.0419, decode.acc_seg: 98.1736, loss: 0.0419 +2023-03-04 07:07:07,561 - mmseg - INFO - Iter [100350/160000] lr: 4.687e-06, eta: 3:31:04, time: 0.221, data_time: 0.056, memory: 52541, decode.loss_ce: 0.0430, decode.acc_seg: 98.1317, loss: 0.0430 +2023-03-04 07:07:15,867 - mmseg - INFO - Iter [100400/160000] lr: 4.687e-06, eta: 3:30:52, time: 0.166, data_time: 0.008, memory: 52541, decode.loss_ce: 0.0469, decode.acc_seg: 98.0364, loss: 0.0469 +2023-03-04 07:07:24,256 - mmseg - INFO - Iter [100450/160000] lr: 4.687e-06, eta: 3:30:40, time: 0.168, data_time: 0.008, memory: 52541, decode.loss_ce: 0.0414, decode.acc_seg: 98.1999, loss: 0.0414 +2023-03-04 07:07:32,416 - mmseg - INFO - Iter [100500/160000] lr: 4.687e-06, eta: 3:30:28, time: 0.163, data_time: 0.008, memory: 52541, decode.loss_ce: 0.0426, decode.acc_seg: 98.1474, loss: 0.0426 +2023-03-04 07:07:41,013 - mmseg - INFO - Iter [100550/160000] lr: 4.687e-06, eta: 3:30:16, time: 0.172, data_time: 0.007, memory: 52541, decode.loss_ce: 0.0436, decode.acc_seg: 98.1213, loss: 0.0436 +2023-03-04 07:07:49,675 - mmseg - INFO - Iter [100600/160000] lr: 4.687e-06, eta: 3:30:04, time: 0.173, data_time: 0.007, memory: 52541, decode.loss_ce: 0.0446, decode.acc_seg: 98.0439, loss: 0.0446 +2023-03-04 07:07:57,900 - mmseg - INFO - Iter [100650/160000] lr: 4.687e-06, eta: 3:29:52, time: 0.165, data_time: 0.007, memory: 52541, decode.loss_ce: 0.0430, decode.acc_seg: 98.1419, loss: 0.0430 +2023-03-04 07:08:06,088 - mmseg - INFO - Iter [100700/160000] lr: 4.687e-06, eta: 3:29:40, time: 0.164, data_time: 0.008, memory: 52541, decode.loss_ce: 0.0413, decode.acc_seg: 98.1832, loss: 0.0413 +2023-03-04 07:08:14,481 - mmseg - INFO - Iter [100750/160000] lr: 4.687e-06, eta: 3:29:28, time: 0.168, data_time: 0.007, memory: 52541, decode.loss_ce: 0.0399, decode.acc_seg: 98.2581, loss: 0.0399 +2023-03-04 07:08:22,905 - mmseg - INFO - Iter [100800/160000] lr: 4.687e-06, eta: 3:29:17, time: 0.168, data_time: 0.007, memory: 52541, decode.loss_ce: 0.0431, decode.acc_seg: 98.1123, loss: 0.0431 +2023-03-04 07:08:31,193 - mmseg - INFO - Iter [100850/160000] lr: 4.687e-06, eta: 3:29:05, time: 0.166, data_time: 0.008, memory: 52541, decode.loss_ce: 0.0412, decode.acc_seg: 98.2110, loss: 0.0412 +2023-03-04 07:08:39,368 - mmseg - INFO - Iter [100900/160000] lr: 4.687e-06, eta: 3:28:53, time: 0.164, data_time: 0.008, memory: 52541, decode.loss_ce: 0.0422, decode.acc_seg: 98.1239, loss: 0.0422 +2023-03-04 07:08:47,869 - mmseg - INFO - Iter [100950/160000] lr: 4.687e-06, eta: 3:28:41, time: 0.170, data_time: 0.008, memory: 52541, decode.loss_ce: 0.0418, decode.acc_seg: 98.1927, loss: 0.0418 +2023-03-04 07:08:58,625 - mmseg - INFO - Exp name: ablation_segformer_mit_b2_segformer_head_unet_fc_small_multi_step_ade_pretrained_freeze_embed_160k_ade20k151_finetune_ema_wgt.py +2023-03-04 07:08:58,625 - mmseg - INFO - Iter [101000/160000] lr: 4.687e-06, eta: 3:28:30, time: 0.215, data_time: 0.056, memory: 52541, decode.loss_ce: 0.0429, decode.acc_seg: 98.1107, loss: 0.0429 +2023-03-04 07:09:07,280 - mmseg - INFO - Iter [101050/160000] lr: 4.687e-06, eta: 3:28:18, time: 0.173, data_time: 0.007, memory: 52541, decode.loss_ce: 0.0423, decode.acc_seg: 98.1652, loss: 0.0423 +2023-03-04 07:09:15,705 - mmseg - INFO - Iter [101100/160000] lr: 4.687e-06, eta: 3:28:07, time: 0.169, data_time: 0.008, memory: 52541, decode.loss_ce: 0.0417, decode.acc_seg: 98.1694, loss: 0.0417 +2023-03-04 07:09:23,910 - mmseg - INFO - Iter [101150/160000] lr: 4.687e-06, eta: 3:27:55, time: 0.164, data_time: 0.007, memory: 52541, decode.loss_ce: 0.0435, decode.acc_seg: 98.1122, loss: 0.0435 +2023-03-04 07:09:32,032 - mmseg - INFO - Iter [101200/160000] lr: 4.687e-06, eta: 3:27:43, time: 0.162, data_time: 0.007, memory: 52541, decode.loss_ce: 0.0427, decode.acc_seg: 98.1379, loss: 0.0427 +2023-03-04 07:09:40,324 - mmseg - INFO - Iter [101250/160000] lr: 4.687e-06, eta: 3:27:31, time: 0.166, data_time: 0.008, memory: 52541, decode.loss_ce: 0.0380, decode.acc_seg: 98.2930, loss: 0.0380 +2023-03-04 07:09:48,422 - mmseg - INFO - Iter [101300/160000] lr: 4.687e-06, eta: 3:27:19, time: 0.162, data_time: 0.008, memory: 52541, decode.loss_ce: 0.0407, decode.acc_seg: 98.2020, loss: 0.0407 +2023-03-04 07:09:56,927 - mmseg - INFO - Iter [101350/160000] lr: 4.687e-06, eta: 3:27:07, time: 0.170, data_time: 0.008, memory: 52541, decode.loss_ce: 0.0443, decode.acc_seg: 98.0665, loss: 0.0443 +2023-03-04 07:10:05,456 - mmseg - INFO - Iter [101400/160000] lr: 4.687e-06, eta: 3:26:55, time: 0.171, data_time: 0.008, memory: 52541, decode.loss_ce: 0.0408, decode.acc_seg: 98.2153, loss: 0.0408 +2023-03-04 07:10:13,486 - mmseg - INFO - Iter [101450/160000] lr: 4.687e-06, eta: 3:26:43, time: 0.161, data_time: 0.008, memory: 52541, decode.loss_ce: 0.0418, decode.acc_seg: 98.1645, loss: 0.0418 +2023-03-04 07:10:21,772 - mmseg - INFO - Iter [101500/160000] lr: 4.687e-06, eta: 3:26:31, time: 0.166, data_time: 0.008, memory: 52541, decode.loss_ce: 0.0445, decode.acc_seg: 98.0695, loss: 0.0445 +2023-03-04 07:10:30,348 - mmseg - INFO - Iter [101550/160000] lr: 4.687e-06, eta: 3:26:19, time: 0.171, data_time: 0.008, memory: 52541, decode.loss_ce: 0.0420, decode.acc_seg: 98.2033, loss: 0.0420 +2023-03-04 07:10:41,099 - mmseg - INFO - Iter [101600/160000] lr: 4.687e-06, eta: 3:26:09, time: 0.215, data_time: 0.053, memory: 52541, decode.loss_ce: 0.0438, decode.acc_seg: 98.1238, loss: 0.0438 +2023-03-04 07:10:49,779 - mmseg - INFO - Iter [101650/160000] lr: 4.687e-06, eta: 3:25:57, time: 0.174, data_time: 0.007, memory: 52541, decode.loss_ce: 0.0422, decode.acc_seg: 98.1438, loss: 0.0422 +2023-03-04 07:10:58,041 - mmseg - INFO - Iter [101700/160000] lr: 4.687e-06, eta: 3:25:45, time: 0.165, data_time: 0.008, memory: 52541, decode.loss_ce: 0.0385, decode.acc_seg: 98.2910, loss: 0.0385 +2023-03-04 07:11:06,537 - mmseg - INFO - Iter [101750/160000] lr: 4.687e-06, eta: 3:25:33, time: 0.170, data_time: 0.007, memory: 52541, decode.loss_ce: 0.0445, decode.acc_seg: 98.0768, loss: 0.0445 +2023-03-04 07:11:14,901 - mmseg - INFO - Iter [101800/160000] lr: 4.687e-06, eta: 3:25:21, time: 0.167, data_time: 0.007, memory: 52541, decode.loss_ce: 0.0417, decode.acc_seg: 98.1706, loss: 0.0417 +2023-03-04 07:11:23,298 - mmseg - INFO - Iter [101850/160000] lr: 4.687e-06, eta: 3:25:10, time: 0.168, data_time: 0.008, memory: 52541, decode.loss_ce: 0.0414, decode.acc_seg: 98.1695, loss: 0.0414 +2023-03-04 07:11:31,588 - mmseg - INFO - Iter [101900/160000] lr: 4.687e-06, eta: 3:24:58, time: 0.166, data_time: 0.008, memory: 52541, decode.loss_ce: 0.0414, decode.acc_seg: 98.1770, loss: 0.0414 +2023-03-04 07:11:40,059 - mmseg - INFO - Iter [101950/160000] lr: 4.687e-06, eta: 3:24:46, time: 0.169, data_time: 0.007, memory: 52541, decode.loss_ce: 0.0409, decode.acc_seg: 98.2131, loss: 0.0409 +2023-03-04 07:11:48,845 - mmseg - INFO - Exp name: ablation_segformer_mit_b2_segformer_head_unet_fc_small_multi_step_ade_pretrained_freeze_embed_160k_ade20k151_finetune_ema_wgt.py +2023-03-04 07:11:48,845 - mmseg - INFO - Iter [102000/160000] lr: 4.687e-06, eta: 3:24:34, time: 0.176, data_time: 0.007, memory: 52541, decode.loss_ce: 0.0414, decode.acc_seg: 98.1760, loss: 0.0414 +2023-03-04 07:11:57,367 - mmseg - INFO - Iter [102050/160000] lr: 4.687e-06, eta: 3:24:23, time: 0.170, data_time: 0.009, memory: 52541, decode.loss_ce: 0.0384, decode.acc_seg: 98.2805, loss: 0.0384 +2023-03-04 07:12:06,110 - mmseg - INFO - Iter [102100/160000] lr: 4.687e-06, eta: 3:24:11, time: 0.175, data_time: 0.009, memory: 52541, decode.loss_ce: 0.0415, decode.acc_seg: 98.1884, loss: 0.0415 +2023-03-04 07:12:14,833 - mmseg - INFO - Iter [102150/160000] lr: 4.687e-06, eta: 3:23:59, time: 0.174, data_time: 0.007, memory: 52541, decode.loss_ce: 0.0410, decode.acc_seg: 98.1991, loss: 0.0410 +2023-03-04 07:12:22,930 - mmseg - INFO - Iter [102200/160000] lr: 4.687e-06, eta: 3:23:47, time: 0.162, data_time: 0.008, memory: 52541, decode.loss_ce: 0.0418, decode.acc_seg: 98.1606, loss: 0.0418 +2023-03-04 07:12:33,668 - mmseg - INFO - Iter [102250/160000] lr: 4.687e-06, eta: 3:23:37, time: 0.215, data_time: 0.054, memory: 52541, decode.loss_ce: 0.0408, decode.acc_seg: 98.1826, loss: 0.0408 +2023-03-04 07:12:41,758 - mmseg - INFO - Iter [102300/160000] lr: 4.687e-06, eta: 3:23:25, time: 0.162, data_time: 0.007, memory: 52541, decode.loss_ce: 0.0415, decode.acc_seg: 98.1984, loss: 0.0415 +2023-03-04 07:12:49,984 - mmseg - INFO - Iter [102350/160000] lr: 4.687e-06, eta: 3:23:13, time: 0.165, data_time: 0.007, memory: 52541, decode.loss_ce: 0.0414, decode.acc_seg: 98.1739, loss: 0.0414 +2023-03-04 07:12:58,091 - mmseg - INFO - Iter [102400/160000] lr: 4.687e-06, eta: 3:23:01, time: 0.162, data_time: 0.007, memory: 52541, decode.loss_ce: 0.0426, decode.acc_seg: 98.1647, loss: 0.0426 +2023-03-04 07:13:06,415 - mmseg - INFO - Iter [102450/160000] lr: 4.687e-06, eta: 3:22:49, time: 0.166, data_time: 0.008, memory: 52541, decode.loss_ce: 0.0425, decode.acc_seg: 98.1192, loss: 0.0425 +2023-03-04 07:13:14,982 - mmseg - INFO - Iter [102500/160000] lr: 4.687e-06, eta: 3:22:37, time: 0.171, data_time: 0.007, memory: 52541, decode.loss_ce: 0.0422, decode.acc_seg: 98.1669, loss: 0.0422 +2023-03-04 07:13:23,422 - mmseg - INFO - Iter [102550/160000] lr: 4.687e-06, eta: 3:22:26, time: 0.169, data_time: 0.008, memory: 52541, decode.loss_ce: 0.0400, decode.acc_seg: 98.2029, loss: 0.0400 +2023-03-04 07:13:31,661 - mmseg - INFO - Iter [102600/160000] lr: 4.687e-06, eta: 3:22:14, time: 0.165, data_time: 0.007, memory: 52541, decode.loss_ce: 0.0420, decode.acc_seg: 98.1446, loss: 0.0420 +2023-03-04 07:13:40,025 - mmseg - INFO - Iter [102650/160000] lr: 4.687e-06, eta: 3:22:02, time: 0.167, data_time: 0.007, memory: 52541, decode.loss_ce: 0.0442, decode.acc_seg: 98.0735, loss: 0.0442 +2023-03-04 07:13:48,380 - mmseg - INFO - Iter [102700/160000] lr: 4.687e-06, eta: 3:21:50, time: 0.167, data_time: 0.008, memory: 52541, decode.loss_ce: 0.0425, decode.acc_seg: 98.1312, loss: 0.0425 +2023-03-04 07:13:57,210 - mmseg - INFO - Iter [102750/160000] lr: 4.687e-06, eta: 3:21:39, time: 0.177, data_time: 0.007, memory: 52541, decode.loss_ce: 0.0400, decode.acc_seg: 98.2489, loss: 0.0400 +2023-03-04 07:14:05,223 - mmseg - INFO - Iter [102800/160000] lr: 4.687e-06, eta: 3:21:27, time: 0.160, data_time: 0.007, memory: 52541, decode.loss_ce: 0.0420, decode.acc_seg: 98.1895, loss: 0.0420 +2023-03-04 07:14:14,035 - mmseg - INFO - Iter [102850/160000] lr: 4.687e-06, eta: 3:21:15, time: 0.176, data_time: 0.009, memory: 52541, decode.loss_ce: 0.0440, decode.acc_seg: 98.0566, loss: 0.0440 +2023-03-04 07:14:25,171 - mmseg - INFO - Iter [102900/160000] lr: 4.687e-06, eta: 3:21:05, time: 0.222, data_time: 0.056, memory: 52541, decode.loss_ce: 0.0430, decode.acc_seg: 98.1591, loss: 0.0430 +2023-03-04 07:14:33,491 - mmseg - INFO - Iter [102950/160000] lr: 4.687e-06, eta: 3:20:53, time: 0.167, data_time: 0.007, memory: 52541, decode.loss_ce: 0.0428, decode.acc_seg: 98.1185, loss: 0.0428 +2023-03-04 07:14:42,218 - mmseg - INFO - Exp name: ablation_segformer_mit_b2_segformer_head_unet_fc_small_multi_step_ade_pretrained_freeze_embed_160k_ade20k151_finetune_ema_wgt.py +2023-03-04 07:14:42,218 - mmseg - INFO - Iter [103000/160000] lr: 4.687e-06, eta: 3:20:42, time: 0.174, data_time: 0.008, memory: 52541, decode.loss_ce: 0.0423, decode.acc_seg: 98.1403, loss: 0.0423 +2023-03-04 07:14:50,795 - mmseg - INFO - Iter [103050/160000] lr: 4.687e-06, eta: 3:20:30, time: 0.172, data_time: 0.008, memory: 52541, decode.loss_ce: 0.0403, decode.acc_seg: 98.2002, loss: 0.0403 +2023-03-04 07:14:58,921 - mmseg - INFO - Iter [103100/160000] lr: 4.687e-06, eta: 3:20:18, time: 0.163, data_time: 0.008, memory: 52541, decode.loss_ce: 0.0435, decode.acc_seg: 98.1356, loss: 0.0435 +2023-03-04 07:15:07,174 - mmseg - INFO - Iter [103150/160000] lr: 4.687e-06, eta: 3:20:06, time: 0.165, data_time: 0.007, memory: 52541, decode.loss_ce: 0.0420, decode.acc_seg: 98.1646, loss: 0.0420 +2023-03-04 07:15:15,331 - mmseg - INFO - Iter [103200/160000] lr: 4.687e-06, eta: 3:19:54, time: 0.163, data_time: 0.008, memory: 52541, decode.loss_ce: 0.0413, decode.acc_seg: 98.1984, loss: 0.0413 +2023-03-04 07:15:23,690 - mmseg - INFO - Iter [103250/160000] lr: 4.687e-06, eta: 3:19:42, time: 0.167, data_time: 0.008, memory: 52541, decode.loss_ce: 0.0416, decode.acc_seg: 98.1721, loss: 0.0416 +2023-03-04 07:15:31,846 - mmseg - INFO - Iter [103300/160000] lr: 4.687e-06, eta: 3:19:31, time: 0.163, data_time: 0.008, memory: 52541, decode.loss_ce: 0.0424, decode.acc_seg: 98.1275, loss: 0.0424 +2023-03-04 07:15:39,873 - mmseg - INFO - Iter [103350/160000] lr: 4.687e-06, eta: 3:19:19, time: 0.161, data_time: 0.007, memory: 52541, decode.loss_ce: 0.0437, decode.acc_seg: 98.1111, loss: 0.0437 +2023-03-04 07:15:48,242 - mmseg - INFO - Iter [103400/160000] lr: 4.687e-06, eta: 3:19:07, time: 0.167, data_time: 0.007, memory: 52541, decode.loss_ce: 0.0432, decode.acc_seg: 98.0949, loss: 0.0432 +2023-03-04 07:15:56,891 - mmseg - INFO - Iter [103450/160000] lr: 4.687e-06, eta: 3:18:55, time: 0.173, data_time: 0.009, memory: 52541, decode.loss_ce: 0.0421, decode.acc_seg: 98.1740, loss: 0.0421 +2023-03-04 07:16:07,608 - mmseg - INFO - Iter [103500/160000] lr: 4.687e-06, eta: 3:18:45, time: 0.214, data_time: 0.054, memory: 52541, decode.loss_ce: 0.0450, decode.acc_seg: 98.0520, loss: 0.0450 +2023-03-04 07:16:15,657 - mmseg - INFO - Iter [103550/160000] lr: 4.687e-06, eta: 3:18:33, time: 0.161, data_time: 0.008, memory: 52541, decode.loss_ce: 0.0432, decode.acc_seg: 98.0972, loss: 0.0432 +2023-03-04 07:16:23,910 - mmseg - INFO - Iter [103600/160000] lr: 4.687e-06, eta: 3:18:21, time: 0.165, data_time: 0.008, memory: 52541, decode.loss_ce: 0.0425, decode.acc_seg: 98.1363, loss: 0.0425 +2023-03-04 07:16:32,457 - mmseg - INFO - Iter [103650/160000] lr: 4.687e-06, eta: 3:18:10, time: 0.171, data_time: 0.008, memory: 52541, decode.loss_ce: 0.0434, decode.acc_seg: 98.1282, loss: 0.0434 +2023-03-04 07:16:40,816 - mmseg - INFO - Iter [103700/160000] lr: 4.687e-06, eta: 3:17:58, time: 0.167, data_time: 0.008, memory: 52541, decode.loss_ce: 0.0464, decode.acc_seg: 98.0093, loss: 0.0464 +2023-03-04 07:16:49,139 - mmseg - INFO - Iter [103750/160000] lr: 4.687e-06, eta: 3:17:46, time: 0.167, data_time: 0.008, memory: 52541, decode.loss_ce: 0.0420, decode.acc_seg: 98.1608, loss: 0.0420 +2023-03-04 07:16:57,247 - mmseg - INFO - Iter [103800/160000] lr: 4.687e-06, eta: 3:17:34, time: 0.162, data_time: 0.008, memory: 52541, decode.loss_ce: 0.0430, decode.acc_seg: 98.1421, loss: 0.0430 +2023-03-04 07:17:06,040 - mmseg - INFO - Iter [103850/160000] lr: 4.687e-06, eta: 3:17:23, time: 0.176, data_time: 0.007, memory: 52541, decode.loss_ce: 0.0457, decode.acc_seg: 98.0400, loss: 0.0457 +2023-03-04 07:17:14,220 - mmseg - INFO - Iter [103900/160000] lr: 4.687e-06, eta: 3:17:11, time: 0.164, data_time: 0.007, memory: 52541, decode.loss_ce: 0.0420, decode.acc_seg: 98.1563, loss: 0.0420 +2023-03-04 07:17:22,819 - mmseg - INFO - Iter [103950/160000] lr: 4.687e-06, eta: 3:16:59, time: 0.172, data_time: 0.007, memory: 52541, decode.loss_ce: 0.0431, decode.acc_seg: 98.1298, loss: 0.0431 +2023-03-04 07:17:31,270 - mmseg - INFO - Exp name: ablation_segformer_mit_b2_segformer_head_unet_fc_small_multi_step_ade_pretrained_freeze_embed_160k_ade20k151_finetune_ema_wgt.py +2023-03-04 07:17:31,270 - mmseg - INFO - Iter [104000/160000] lr: 4.687e-06, eta: 3:16:48, time: 0.169, data_time: 0.008, memory: 52541, decode.loss_ce: 0.0403, decode.acc_seg: 98.2360, loss: 0.0403 +2023-03-04 07:17:40,002 - mmseg - INFO - Iter [104050/160000] lr: 4.687e-06, eta: 3:16:36, time: 0.175, data_time: 0.008, memory: 52541, decode.loss_ce: 0.0448, decode.acc_seg: 98.0769, loss: 0.0448 +2023-03-04 07:17:48,476 - mmseg - INFO - Iter [104100/160000] lr: 4.687e-06, eta: 3:16:24, time: 0.169, data_time: 0.007, memory: 52541, decode.loss_ce: 0.0421, decode.acc_seg: 98.1675, loss: 0.0421 +2023-03-04 07:17:59,163 - mmseg - INFO - Iter [104150/160000] lr: 4.687e-06, eta: 3:16:14, time: 0.214, data_time: 0.055, memory: 52541, decode.loss_ce: 0.0397, decode.acc_seg: 98.2569, loss: 0.0397 +2023-03-04 07:18:07,329 - mmseg - INFO - Iter [104200/160000] lr: 4.687e-06, eta: 3:16:02, time: 0.163, data_time: 0.008, memory: 52541, decode.loss_ce: 0.0416, decode.acc_seg: 98.1541, loss: 0.0416 +2023-03-04 07:18:15,953 - mmseg - INFO - Iter [104250/160000] lr: 4.687e-06, eta: 3:15:51, time: 0.172, data_time: 0.007, memory: 52541, decode.loss_ce: 0.0415, decode.acc_seg: 98.2272, loss: 0.0415 +2023-03-04 07:18:24,338 - mmseg - INFO - Iter [104300/160000] lr: 4.687e-06, eta: 3:15:39, time: 0.167, data_time: 0.008, memory: 52541, decode.loss_ce: 0.0417, decode.acc_seg: 98.1684, loss: 0.0417 +2023-03-04 07:18:32,551 - mmseg - INFO - Iter [104350/160000] lr: 4.687e-06, eta: 3:15:27, time: 0.164, data_time: 0.007, memory: 52541, decode.loss_ce: 0.0427, decode.acc_seg: 98.1532, loss: 0.0427 +2023-03-04 07:18:40,767 - mmseg - INFO - Iter [104400/160000] lr: 4.687e-06, eta: 3:15:15, time: 0.164, data_time: 0.008, memory: 52541, decode.loss_ce: 0.0417, decode.acc_seg: 98.2028, loss: 0.0417 +2023-03-04 07:18:49,115 - mmseg - INFO - Iter [104450/160000] lr: 4.687e-06, eta: 3:15:04, time: 0.167, data_time: 0.007, memory: 52541, decode.loss_ce: 0.0410, decode.acc_seg: 98.1779, loss: 0.0410 +2023-03-04 07:18:57,977 - mmseg - INFO - Iter [104500/160000] lr: 4.687e-06, eta: 3:14:52, time: 0.177, data_time: 0.008, memory: 52541, decode.loss_ce: 0.0429, decode.acc_seg: 98.1050, loss: 0.0429 +2023-03-04 07:19:06,286 - mmseg - INFO - Iter [104550/160000] lr: 4.687e-06, eta: 3:14:40, time: 0.166, data_time: 0.008, memory: 52541, decode.loss_ce: 0.0422, decode.acc_seg: 98.1452, loss: 0.0422 +2023-03-04 07:19:14,600 - mmseg - INFO - Iter [104600/160000] lr: 4.687e-06, eta: 3:14:29, time: 0.166, data_time: 0.008, memory: 52541, decode.loss_ce: 0.0407, decode.acc_seg: 98.2017, loss: 0.0407 +2023-03-04 07:19:23,148 - mmseg - INFO - Iter [104650/160000] lr: 4.687e-06, eta: 3:14:17, time: 0.171, data_time: 0.008, memory: 52541, decode.loss_ce: 0.0430, decode.acc_seg: 98.1526, loss: 0.0430 +2023-03-04 07:19:31,500 - mmseg - INFO - Iter [104700/160000] lr: 4.687e-06, eta: 3:14:05, time: 0.167, data_time: 0.008, memory: 52541, decode.loss_ce: 0.0410, decode.acc_seg: 98.1771, loss: 0.0410 +2023-03-04 07:19:42,422 - mmseg - INFO - Iter [104750/160000] lr: 4.687e-06, eta: 3:13:55, time: 0.218, data_time: 0.056, memory: 52541, decode.loss_ce: 0.0396, decode.acc_seg: 98.2477, loss: 0.0396 +2023-03-04 07:19:50,880 - mmseg - INFO - Iter [104800/160000] lr: 4.687e-06, eta: 3:13:44, time: 0.169, data_time: 0.007, memory: 52541, decode.loss_ce: 0.0423, decode.acc_seg: 98.1657, loss: 0.0423 +2023-03-04 07:19:59,076 - mmseg - INFO - Iter [104850/160000] lr: 4.687e-06, eta: 3:13:32, time: 0.164, data_time: 0.007, memory: 52541, decode.loss_ce: 0.0428, decode.acc_seg: 98.1316, loss: 0.0428 +2023-03-04 07:20:07,659 - mmseg - INFO - Iter [104900/160000] lr: 4.687e-06, eta: 3:13:20, time: 0.171, data_time: 0.007, memory: 52541, decode.loss_ce: 0.0432, decode.acc_seg: 98.1344, loss: 0.0432 +2023-03-04 07:20:16,290 - mmseg - INFO - Iter [104950/160000] lr: 4.687e-06, eta: 3:13:09, time: 0.173, data_time: 0.007, memory: 52541, decode.loss_ce: 0.0410, decode.acc_seg: 98.1907, loss: 0.0410 +2023-03-04 07:20:24,581 - mmseg - INFO - Exp name: ablation_segformer_mit_b2_segformer_head_unet_fc_small_multi_step_ade_pretrained_freeze_embed_160k_ade20k151_finetune_ema_wgt.py +2023-03-04 07:20:24,581 - mmseg - INFO - Iter [105000/160000] lr: 4.687e-06, eta: 3:12:57, time: 0.166, data_time: 0.007, memory: 52541, decode.loss_ce: 0.0420, decode.acc_seg: 98.1384, loss: 0.0420 +2023-03-04 07:20:32,983 - mmseg - INFO - Iter [105050/160000] lr: 4.687e-06, eta: 3:12:45, time: 0.168, data_time: 0.007, memory: 52541, decode.loss_ce: 0.0422, decode.acc_seg: 98.1496, loss: 0.0422 +2023-03-04 07:20:41,170 - mmseg - INFO - Iter [105100/160000] lr: 4.687e-06, eta: 3:12:34, time: 0.164, data_time: 0.008, memory: 52541, decode.loss_ce: 0.0456, decode.acc_seg: 98.0644, loss: 0.0456 +2023-03-04 07:20:49,867 - mmseg - INFO - Iter [105150/160000] lr: 4.687e-06, eta: 3:12:22, time: 0.174, data_time: 0.007, memory: 52541, decode.loss_ce: 0.0427, decode.acc_seg: 98.1555, loss: 0.0427 +2023-03-04 07:20:58,468 - mmseg - INFO - Iter [105200/160000] lr: 4.687e-06, eta: 3:12:11, time: 0.172, data_time: 0.007, memory: 52541, decode.loss_ce: 0.0435, decode.acc_seg: 98.0985, loss: 0.0435 +2023-03-04 07:21:06,972 - mmseg - INFO - Iter [105250/160000] lr: 4.687e-06, eta: 3:11:59, time: 0.170, data_time: 0.008, memory: 52541, decode.loss_ce: 0.0399, decode.acc_seg: 98.2315, loss: 0.0399 +2023-03-04 07:21:15,586 - mmseg - INFO - Iter [105300/160000] lr: 4.687e-06, eta: 3:11:48, time: 0.173, data_time: 0.008, memory: 52541, decode.loss_ce: 0.0427, decode.acc_seg: 98.1334, loss: 0.0427 +2023-03-04 07:21:23,953 - mmseg - INFO - Iter [105350/160000] lr: 4.687e-06, eta: 3:11:36, time: 0.167, data_time: 0.007, memory: 52541, decode.loss_ce: 0.0394, decode.acc_seg: 98.2405, loss: 0.0394 +2023-03-04 07:21:34,768 - mmseg - INFO - Iter [105400/160000] lr: 4.687e-06, eta: 3:11:26, time: 0.217, data_time: 0.056, memory: 52541, decode.loss_ce: 0.0430, decode.acc_seg: 98.1170, loss: 0.0430 +2023-03-04 07:21:43,389 - mmseg - INFO - Iter [105450/160000] lr: 4.687e-06, eta: 3:11:14, time: 0.172, data_time: 0.008, memory: 52541, decode.loss_ce: 0.0394, decode.acc_seg: 98.2616, loss: 0.0394 +2023-03-04 07:21:51,992 - mmseg - INFO - Iter [105500/160000] lr: 4.687e-06, eta: 3:11:03, time: 0.172, data_time: 0.007, memory: 52541, decode.loss_ce: 0.0406, decode.acc_seg: 98.2246, loss: 0.0406 +2023-03-04 07:22:01,237 - mmseg - INFO - Iter [105550/160000] lr: 4.687e-06, eta: 3:10:51, time: 0.185, data_time: 0.009, memory: 52541, decode.loss_ce: 0.0415, decode.acc_seg: 98.1971, loss: 0.0415 +2023-03-04 07:22:09,590 - mmseg - INFO - Iter [105600/160000] lr: 4.687e-06, eta: 3:10:40, time: 0.167, data_time: 0.007, memory: 52541, decode.loss_ce: 0.0417, decode.acc_seg: 98.1600, loss: 0.0417 +2023-03-04 07:22:18,074 - mmseg - INFO - Iter [105650/160000] lr: 4.687e-06, eta: 3:10:28, time: 0.170, data_time: 0.008, memory: 52541, decode.loss_ce: 0.0411, decode.acc_seg: 98.1576, loss: 0.0411 +2023-03-04 07:22:26,478 - mmseg - INFO - Iter [105700/160000] lr: 4.687e-06, eta: 3:10:17, time: 0.168, data_time: 0.007, memory: 52541, decode.loss_ce: 0.0426, decode.acc_seg: 98.1237, loss: 0.0426 +2023-03-04 07:22:35,085 - mmseg - INFO - Iter [105750/160000] lr: 4.687e-06, eta: 3:10:05, time: 0.172, data_time: 0.008, memory: 52541, decode.loss_ce: 0.0403, decode.acc_seg: 98.2399, loss: 0.0403 +2023-03-04 07:22:43,663 - mmseg - INFO - Iter [105800/160000] lr: 4.687e-06, eta: 3:09:54, time: 0.172, data_time: 0.008, memory: 52541, decode.loss_ce: 0.0426, decode.acc_seg: 98.1562, loss: 0.0426 +2023-03-04 07:22:52,012 - mmseg - INFO - Iter [105850/160000] lr: 4.687e-06, eta: 3:09:42, time: 0.167, data_time: 0.007, memory: 52541, decode.loss_ce: 0.0414, decode.acc_seg: 98.1753, loss: 0.0414 +2023-03-04 07:23:00,841 - mmseg - INFO - Iter [105900/160000] lr: 4.687e-06, eta: 3:09:31, time: 0.176, data_time: 0.007, memory: 52541, decode.loss_ce: 0.0435, decode.acc_seg: 98.1463, loss: 0.0435 +2023-03-04 07:23:09,144 - mmseg - INFO - Iter [105950/160000] lr: 4.687e-06, eta: 3:09:19, time: 0.166, data_time: 0.007, memory: 52541, decode.loss_ce: 0.0403, decode.acc_seg: 98.2111, loss: 0.0403 +2023-03-04 07:23:17,413 - mmseg - INFO - Exp name: ablation_segformer_mit_b2_segformer_head_unet_fc_small_multi_step_ade_pretrained_freeze_embed_160k_ade20k151_finetune_ema_wgt.py +2023-03-04 07:23:17,413 - mmseg - INFO - Iter [106000/160000] lr: 4.687e-06, eta: 3:09:07, time: 0.165, data_time: 0.008, memory: 52541, decode.loss_ce: 0.0431, decode.acc_seg: 98.1204, loss: 0.0431 +2023-03-04 07:23:28,522 - mmseg - INFO - Iter [106050/160000] lr: 4.687e-06, eta: 3:08:57, time: 0.222, data_time: 0.058, memory: 52541, decode.loss_ce: 0.0415, decode.acc_seg: 98.1820, loss: 0.0415 +2023-03-04 07:23:37,198 - mmseg - INFO - Iter [106100/160000] lr: 4.687e-06, eta: 3:08:46, time: 0.174, data_time: 0.008, memory: 52541, decode.loss_ce: 0.0395, decode.acc_seg: 98.2387, loss: 0.0395 +2023-03-04 07:23:46,036 - mmseg - INFO - Iter [106150/160000] lr: 4.687e-06, eta: 3:08:34, time: 0.177, data_time: 0.009, memory: 52541, decode.loss_ce: 0.0401, decode.acc_seg: 98.2307, loss: 0.0401 +2023-03-04 07:23:54,222 - mmseg - INFO - Iter [106200/160000] lr: 4.687e-06, eta: 3:08:23, time: 0.164, data_time: 0.008, memory: 52541, decode.loss_ce: 0.0423, decode.acc_seg: 98.1511, loss: 0.0423 +2023-03-04 07:24:02,480 - mmseg - INFO - Iter [106250/160000] lr: 4.687e-06, eta: 3:08:11, time: 0.165, data_time: 0.007, memory: 52541, decode.loss_ce: 0.0436, decode.acc_seg: 98.1145, loss: 0.0436 +2023-03-04 07:24:10,940 - mmseg - INFO - Iter [106300/160000] lr: 4.687e-06, eta: 3:07:59, time: 0.169, data_time: 0.007, memory: 52541, decode.loss_ce: 0.0418, decode.acc_seg: 98.1928, loss: 0.0418 +2023-03-04 07:24:19,289 - mmseg - INFO - Iter [106350/160000] lr: 4.687e-06, eta: 3:07:48, time: 0.167, data_time: 0.007, memory: 52541, decode.loss_ce: 0.0420, decode.acc_seg: 98.1677, loss: 0.0420 +2023-03-04 07:24:28,160 - mmseg - INFO - Iter [106400/160000] lr: 4.687e-06, eta: 3:07:37, time: 0.177, data_time: 0.007, memory: 52541, decode.loss_ce: 0.0430, decode.acc_seg: 98.0777, loss: 0.0430 +2023-03-04 07:24:36,634 - mmseg - INFO - Iter [106450/160000] lr: 4.687e-06, eta: 3:07:25, time: 0.170, data_time: 0.007, memory: 52541, decode.loss_ce: 0.0415, decode.acc_seg: 98.1786, loss: 0.0415 +2023-03-04 07:24:45,434 - mmseg - INFO - Iter [106500/160000] lr: 4.687e-06, eta: 3:07:14, time: 0.176, data_time: 0.007, memory: 52541, decode.loss_ce: 0.0409, decode.acc_seg: 98.1879, loss: 0.0409 +2023-03-04 07:24:53,873 - mmseg - INFO - Iter [106550/160000] lr: 4.687e-06, eta: 3:07:02, time: 0.169, data_time: 0.008, memory: 52541, decode.loss_ce: 0.0411, decode.acc_seg: 98.1996, loss: 0.0411 +2023-03-04 07:25:02,284 - mmseg - INFO - Iter [106600/160000] lr: 4.687e-06, eta: 3:06:51, time: 0.168, data_time: 0.007, memory: 52541, decode.loss_ce: 0.0412, decode.acc_seg: 98.1808, loss: 0.0412 +2023-03-04 07:25:13,490 - mmseg - INFO - Iter [106650/160000] lr: 4.687e-06, eta: 3:06:40, time: 0.224, data_time: 0.053, memory: 52541, decode.loss_ce: 0.0452, decode.acc_seg: 98.0173, loss: 0.0452 +2023-03-04 07:25:22,111 - mmseg - INFO - Iter [106700/160000] lr: 4.687e-06, eta: 3:06:29, time: 0.172, data_time: 0.008, memory: 52541, decode.loss_ce: 0.0419, decode.acc_seg: 98.1568, loss: 0.0419 +2023-03-04 07:25:30,606 - mmseg - INFO - Iter [106750/160000] lr: 4.687e-06, eta: 3:06:18, time: 0.170, data_time: 0.007, memory: 52541, decode.loss_ce: 0.0386, decode.acc_seg: 98.3064, loss: 0.0386 +2023-03-04 07:25:39,059 - mmseg - INFO - Iter [106800/160000] lr: 4.687e-06, eta: 3:06:06, time: 0.169, data_time: 0.008, memory: 52541, decode.loss_ce: 0.0424, decode.acc_seg: 98.1525, loss: 0.0424 +2023-03-04 07:25:47,420 - mmseg - INFO - Iter [106850/160000] lr: 4.687e-06, eta: 3:05:54, time: 0.167, data_time: 0.008, memory: 52541, decode.loss_ce: 0.0437, decode.acc_seg: 98.1010, loss: 0.0437 +2023-03-04 07:25:55,871 - mmseg - INFO - Iter [106900/160000] lr: 4.687e-06, eta: 3:05:43, time: 0.169, data_time: 0.007, memory: 52541, decode.loss_ce: 0.0429, decode.acc_seg: 98.0949, loss: 0.0429 +2023-03-04 07:26:04,557 - mmseg - INFO - Iter [106950/160000] lr: 4.687e-06, eta: 3:05:32, time: 0.174, data_time: 0.008, memory: 52541, decode.loss_ce: 0.0417, decode.acc_seg: 98.1386, loss: 0.0417 +2023-03-04 07:26:12,618 - mmseg - INFO - Exp name: ablation_segformer_mit_b2_segformer_head_unet_fc_small_multi_step_ade_pretrained_freeze_embed_160k_ade20k151_finetune_ema_wgt.py +2023-03-04 07:26:12,619 - mmseg - INFO - Iter [107000/160000] lr: 4.687e-06, eta: 3:05:20, time: 0.161, data_time: 0.008, memory: 52541, decode.loss_ce: 0.0442, decode.acc_seg: 98.0441, loss: 0.0442 +2023-03-04 07:26:21,188 - mmseg - INFO - Iter [107050/160000] lr: 4.687e-06, eta: 3:05:08, time: 0.171, data_time: 0.007, memory: 52541, decode.loss_ce: 0.0416, decode.acc_seg: 98.2113, loss: 0.0416 +2023-03-04 07:26:29,483 - mmseg - INFO - Iter [107100/160000] lr: 4.687e-06, eta: 3:04:57, time: 0.166, data_time: 0.008, memory: 52541, decode.loss_ce: 0.0415, decode.acc_seg: 98.1857, loss: 0.0415 +2023-03-04 07:26:37,827 - mmseg - INFO - Iter [107150/160000] lr: 4.687e-06, eta: 3:04:45, time: 0.167, data_time: 0.008, memory: 52541, decode.loss_ce: 0.0414, decode.acc_seg: 98.1889, loss: 0.0414 +2023-03-04 07:26:46,726 - mmseg - INFO - Iter [107200/160000] lr: 4.687e-06, eta: 3:04:34, time: 0.178, data_time: 0.007, memory: 52541, decode.loss_ce: 0.0415, decode.acc_seg: 98.1851, loss: 0.0415 +2023-03-04 07:26:54,781 - mmseg - INFO - Iter [107250/160000] lr: 4.687e-06, eta: 3:04:22, time: 0.161, data_time: 0.007, memory: 52541, decode.loss_ce: 0.0440, decode.acc_seg: 98.0832, loss: 0.0440 +2023-03-04 07:27:05,471 - mmseg - INFO - Iter [107300/160000] lr: 4.687e-06, eta: 3:04:12, time: 0.214, data_time: 0.053, memory: 52541, decode.loss_ce: 0.0433, decode.acc_seg: 98.1201, loss: 0.0433 +2023-03-04 07:27:13,866 - mmseg - INFO - Iter [107350/160000] lr: 4.687e-06, eta: 3:04:00, time: 0.168, data_time: 0.008, memory: 52541, decode.loss_ce: 0.0448, decode.acc_seg: 98.0161, loss: 0.0448 +2023-03-04 07:27:22,272 - mmseg - INFO - Iter [107400/160000] lr: 4.687e-06, eta: 3:03:49, time: 0.168, data_time: 0.007, memory: 52541, decode.loss_ce: 0.0428, decode.acc_seg: 98.1232, loss: 0.0428 +2023-03-04 07:27:30,986 - mmseg - INFO - Iter [107450/160000] lr: 4.687e-06, eta: 3:03:38, time: 0.174, data_time: 0.007, memory: 52541, decode.loss_ce: 0.0416, decode.acc_seg: 98.1652, loss: 0.0416 +2023-03-04 07:27:39,466 - mmseg - INFO - Iter [107500/160000] lr: 4.687e-06, eta: 3:03:26, time: 0.170, data_time: 0.008, memory: 52541, decode.loss_ce: 0.0425, decode.acc_seg: 98.1757, loss: 0.0425 +2023-03-04 07:27:48,052 - mmseg - INFO - Iter [107550/160000] lr: 4.687e-06, eta: 3:03:15, time: 0.172, data_time: 0.008, memory: 52541, decode.loss_ce: 0.0406, decode.acc_seg: 98.2012, loss: 0.0406 +2023-03-04 07:27:56,498 - mmseg - INFO - Iter [107600/160000] lr: 4.687e-06, eta: 3:03:03, time: 0.169, data_time: 0.008, memory: 52541, decode.loss_ce: 0.0441, decode.acc_seg: 98.0574, loss: 0.0441 +2023-03-04 07:28:04,809 - mmseg - INFO - Iter [107650/160000] lr: 4.687e-06, eta: 3:02:52, time: 0.166, data_time: 0.007, memory: 52541, decode.loss_ce: 0.0431, decode.acc_seg: 98.1366, loss: 0.0431 +2023-03-04 07:28:13,270 - mmseg - INFO - Iter [107700/160000] lr: 4.687e-06, eta: 3:02:40, time: 0.169, data_time: 0.008, memory: 52541, decode.loss_ce: 0.0429, decode.acc_seg: 98.1333, loss: 0.0429 +2023-03-04 07:28:21,577 - mmseg - INFO - Iter [107750/160000] lr: 4.687e-06, eta: 3:02:29, time: 0.166, data_time: 0.007, memory: 52541, decode.loss_ce: 0.0422, decode.acc_seg: 98.1603, loss: 0.0422 +2023-03-04 07:28:30,110 - mmseg - INFO - Iter [107800/160000] lr: 4.687e-06, eta: 3:02:17, time: 0.170, data_time: 0.007, memory: 52541, decode.loss_ce: 0.0425, decode.acc_seg: 98.1505, loss: 0.0425 +2023-03-04 07:28:38,299 - mmseg - INFO - Iter [107850/160000] lr: 4.687e-06, eta: 3:02:06, time: 0.164, data_time: 0.008, memory: 52541, decode.loss_ce: 0.0416, decode.acc_seg: 98.1500, loss: 0.0416 +2023-03-04 07:28:46,342 - mmseg - INFO - Iter [107900/160000] lr: 4.687e-06, eta: 3:01:54, time: 0.161, data_time: 0.007, memory: 52541, decode.loss_ce: 0.0455, decode.acc_seg: 98.0313, loss: 0.0455 +2023-03-04 07:28:57,069 - mmseg - INFO - Iter [107950/160000] lr: 4.687e-06, eta: 3:01:44, time: 0.215, data_time: 0.057, memory: 52541, decode.loss_ce: 0.0427, decode.acc_seg: 98.1231, loss: 0.0427 +2023-03-04 07:29:05,295 - mmseg - INFO - Exp name: ablation_segformer_mit_b2_segformer_head_unet_fc_small_multi_step_ade_pretrained_freeze_embed_160k_ade20k151_finetune_ema_wgt.py +2023-03-04 07:29:05,295 - mmseg - INFO - Iter [108000/160000] lr: 4.687e-06, eta: 3:01:32, time: 0.165, data_time: 0.007, memory: 52541, decode.loss_ce: 0.0419, decode.acc_seg: 98.1472, loss: 0.0419 +2023-03-04 07:29:13,584 - mmseg - INFO - Iter [108050/160000] lr: 4.687e-06, eta: 3:01:21, time: 0.166, data_time: 0.007, memory: 52541, decode.loss_ce: 0.0442, decode.acc_seg: 98.0812, loss: 0.0442 +2023-03-04 07:29:21,851 - mmseg - INFO - Iter [108100/160000] lr: 4.687e-06, eta: 3:01:09, time: 0.165, data_time: 0.007, memory: 52541, decode.loss_ce: 0.0434, decode.acc_seg: 98.1180, loss: 0.0434 +2023-03-04 07:29:30,071 - mmseg - INFO - Iter [108150/160000] lr: 4.687e-06, eta: 3:00:58, time: 0.164, data_time: 0.008, memory: 52541, decode.loss_ce: 0.0437, decode.acc_seg: 98.0895, loss: 0.0437 +2023-03-04 07:29:38,373 - mmseg - INFO - Iter [108200/160000] lr: 4.687e-06, eta: 3:00:46, time: 0.166, data_time: 0.008, memory: 52541, decode.loss_ce: 0.0437, decode.acc_seg: 98.0925, loss: 0.0437 +2023-03-04 07:29:46,827 - mmseg - INFO - Iter [108250/160000] lr: 4.687e-06, eta: 3:00:35, time: 0.169, data_time: 0.007, memory: 52541, decode.loss_ce: 0.0427, decode.acc_seg: 98.1452, loss: 0.0427 +2023-03-04 07:29:55,237 - mmseg - INFO - Iter [108300/160000] lr: 4.687e-06, eta: 3:00:23, time: 0.168, data_time: 0.008, memory: 52541, decode.loss_ce: 0.0387, decode.acc_seg: 98.2573, loss: 0.0387 +2023-03-04 07:30:03,630 - mmseg - INFO - Iter [108350/160000] lr: 4.687e-06, eta: 3:00:12, time: 0.168, data_time: 0.007, memory: 52541, decode.loss_ce: 0.0413, decode.acc_seg: 98.2170, loss: 0.0413 +2023-03-04 07:30:11,989 - mmseg - INFO - Iter [108400/160000] lr: 4.687e-06, eta: 3:00:00, time: 0.167, data_time: 0.007, memory: 52541, decode.loss_ce: 0.0424, decode.acc_seg: 98.1460, loss: 0.0424 +2023-03-04 07:30:20,508 - mmseg - INFO - Iter [108450/160000] lr: 4.687e-06, eta: 2:59:49, time: 0.170, data_time: 0.007, memory: 52541, decode.loss_ce: 0.0439, decode.acc_seg: 98.0638, loss: 0.0439 +2023-03-04 07:30:29,035 - mmseg - INFO - Iter [108500/160000] lr: 4.687e-06, eta: 2:59:37, time: 0.170, data_time: 0.008, memory: 52541, decode.loss_ce: 0.0393, decode.acc_seg: 98.2613, loss: 0.0393 +2023-03-04 07:30:39,943 - mmseg - INFO - Iter [108550/160000] lr: 4.687e-06, eta: 2:59:27, time: 0.218, data_time: 0.056, memory: 52541, decode.loss_ce: 0.0421, decode.acc_seg: 98.1472, loss: 0.0421 +2023-03-04 07:30:48,225 - mmseg - INFO - Iter [108600/160000] lr: 4.687e-06, eta: 2:59:16, time: 0.166, data_time: 0.008, memory: 52541, decode.loss_ce: 0.0419, decode.acc_seg: 98.1643, loss: 0.0419 +2023-03-04 07:30:56,603 - mmseg - INFO - Iter [108650/160000] lr: 4.687e-06, eta: 2:59:04, time: 0.168, data_time: 0.007, memory: 52541, decode.loss_ce: 0.0438, decode.acc_seg: 98.0720, loss: 0.0438 +2023-03-04 07:31:04,706 - mmseg - INFO - Iter [108700/160000] lr: 4.687e-06, eta: 2:58:53, time: 0.162, data_time: 0.007, memory: 52541, decode.loss_ce: 0.0409, decode.acc_seg: 98.2074, loss: 0.0409 +2023-03-04 07:31:13,433 - mmseg - INFO - Iter [108750/160000] lr: 4.687e-06, eta: 2:58:41, time: 0.175, data_time: 0.009, memory: 52541, decode.loss_ce: 0.0433, decode.acc_seg: 98.1084, loss: 0.0433 +2023-03-04 07:31:22,011 - mmseg - INFO - Iter [108800/160000] lr: 4.687e-06, eta: 2:58:30, time: 0.171, data_time: 0.007, memory: 52541, decode.loss_ce: 0.0453, decode.acc_seg: 98.0125, loss: 0.0453 +2023-03-04 07:31:30,435 - mmseg - INFO - Iter [108850/160000] lr: 4.687e-06, eta: 2:58:19, time: 0.169, data_time: 0.008, memory: 52541, decode.loss_ce: 0.0447, decode.acc_seg: 98.0340, loss: 0.0447 +2023-03-04 07:31:38,971 - mmseg - INFO - Iter [108900/160000] lr: 4.687e-06, eta: 2:58:07, time: 0.171, data_time: 0.008, memory: 52541, decode.loss_ce: 0.0446, decode.acc_seg: 98.0710, loss: 0.0446 +2023-03-04 07:31:47,353 - mmseg - INFO - Iter [108950/160000] lr: 4.687e-06, eta: 2:57:56, time: 0.168, data_time: 0.007, memory: 52541, decode.loss_ce: 0.0434, decode.acc_seg: 98.1108, loss: 0.0434 +2023-03-04 07:31:55,423 - mmseg - INFO - Exp name: ablation_segformer_mit_b2_segformer_head_unet_fc_small_multi_step_ade_pretrained_freeze_embed_160k_ade20k151_finetune_ema_wgt.py +2023-03-04 07:31:55,423 - mmseg - INFO - Iter [109000/160000] lr: 4.687e-06, eta: 2:57:44, time: 0.161, data_time: 0.007, memory: 52541, decode.loss_ce: 0.0422, decode.acc_seg: 98.1799, loss: 0.0422 +2023-03-04 07:32:03,892 - mmseg - INFO - Iter [109050/160000] lr: 4.687e-06, eta: 2:57:33, time: 0.169, data_time: 0.008, memory: 52541, decode.loss_ce: 0.0442, decode.acc_seg: 98.1083, loss: 0.0442 +2023-03-04 07:32:11,993 - mmseg - INFO - Iter [109100/160000] lr: 4.687e-06, eta: 2:57:21, time: 0.162, data_time: 0.008, memory: 52541, decode.loss_ce: 0.0447, decode.acc_seg: 98.0156, loss: 0.0447 +2023-03-04 07:32:20,434 - mmseg - INFO - Iter [109150/160000] lr: 4.687e-06, eta: 2:57:10, time: 0.169, data_time: 0.007, memory: 52541, decode.loss_ce: 0.0447, decode.acc_seg: 98.0941, loss: 0.0447 +2023-03-04 07:32:31,210 - mmseg - INFO - Iter [109200/160000] lr: 4.687e-06, eta: 2:57:00, time: 0.215, data_time: 0.053, memory: 52541, decode.loss_ce: 0.0421, decode.acc_seg: 98.1529, loss: 0.0421 +2023-03-04 07:32:39,541 - mmseg - INFO - Iter [109250/160000] lr: 4.687e-06, eta: 2:56:48, time: 0.167, data_time: 0.008, memory: 52541, decode.loss_ce: 0.0425, decode.acc_seg: 98.1464, loss: 0.0425 +2023-03-04 07:32:47,789 - mmseg - INFO - Iter [109300/160000] lr: 4.687e-06, eta: 2:56:37, time: 0.165, data_time: 0.007, memory: 52541, decode.loss_ce: 0.0413, decode.acc_seg: 98.2145, loss: 0.0413 +2023-03-04 07:32:56,047 - mmseg - INFO - Iter [109350/160000] lr: 4.687e-06, eta: 2:56:25, time: 0.165, data_time: 0.007, memory: 52541, decode.loss_ce: 0.0402, decode.acc_seg: 98.2179, loss: 0.0402 +2023-03-04 07:33:04,554 - mmseg - INFO - Iter [109400/160000] lr: 4.687e-06, eta: 2:56:14, time: 0.170, data_time: 0.007, memory: 52541, decode.loss_ce: 0.0462, decode.acc_seg: 97.9792, loss: 0.0462 +2023-03-04 07:33:12,936 - mmseg - INFO - Iter [109450/160000] lr: 4.687e-06, eta: 2:56:03, time: 0.167, data_time: 0.007, memory: 52541, decode.loss_ce: 0.0394, decode.acc_seg: 98.2655, loss: 0.0394 +2023-03-04 07:33:21,843 - mmseg - INFO - Iter [109500/160000] lr: 4.687e-06, eta: 2:55:51, time: 0.178, data_time: 0.009, memory: 52541, decode.loss_ce: 0.0413, decode.acc_seg: 98.1810, loss: 0.0413 +2023-03-04 07:33:30,173 - mmseg - INFO - Iter [109550/160000] lr: 4.687e-06, eta: 2:55:40, time: 0.167, data_time: 0.008, memory: 52541, decode.loss_ce: 0.0396, decode.acc_seg: 98.2499, loss: 0.0396 +2023-03-04 07:33:38,674 - mmseg - INFO - Iter [109600/160000] lr: 4.687e-06, eta: 2:55:29, time: 0.170, data_time: 0.007, memory: 52541, decode.loss_ce: 0.0399, decode.acc_seg: 98.2117, loss: 0.0399 +2023-03-04 07:33:46,868 - mmseg - INFO - Iter [109650/160000] lr: 4.687e-06, eta: 2:55:17, time: 0.164, data_time: 0.008, memory: 52541, decode.loss_ce: 0.0438, decode.acc_seg: 98.1202, loss: 0.0438 +2023-03-04 07:33:55,144 - mmseg - INFO - Iter [109700/160000] lr: 4.687e-06, eta: 2:55:06, time: 0.165, data_time: 0.007, memory: 52541, decode.loss_ce: 0.0404, decode.acc_seg: 98.2104, loss: 0.0404 +2023-03-04 07:34:03,802 - mmseg - INFO - Iter [109750/160000] lr: 4.687e-06, eta: 2:54:54, time: 0.173, data_time: 0.007, memory: 52541, decode.loss_ce: 0.0429, decode.acc_seg: 98.1388, loss: 0.0429 +2023-03-04 07:34:14,782 - mmseg - INFO - Iter [109800/160000] lr: 4.687e-06, eta: 2:54:44, time: 0.219, data_time: 0.057, memory: 52541, decode.loss_ce: 0.0441, decode.acc_seg: 98.0983, loss: 0.0441 +2023-03-04 07:34:22,886 - mmseg - INFO - Iter [109850/160000] lr: 4.687e-06, eta: 2:54:33, time: 0.162, data_time: 0.008, memory: 52541, decode.loss_ce: 0.0416, decode.acc_seg: 98.1951, loss: 0.0416 +2023-03-04 07:34:31,531 - mmseg - INFO - Iter [109900/160000] lr: 4.687e-06, eta: 2:54:21, time: 0.173, data_time: 0.007, memory: 52541, decode.loss_ce: 0.0421, decode.acc_seg: 98.1764, loss: 0.0421 +2023-03-04 07:34:40,039 - mmseg - INFO - Iter [109950/160000] lr: 4.687e-06, eta: 2:54:10, time: 0.170, data_time: 0.007, memory: 52541, decode.loss_ce: 0.0406, decode.acc_seg: 98.2252, loss: 0.0406 +2023-03-04 07:34:48,353 - mmseg - INFO - Exp name: ablation_segformer_mit_b2_segformer_head_unet_fc_small_multi_step_ade_pretrained_freeze_embed_160k_ade20k151_finetune_ema_wgt.py +2023-03-04 07:34:48,353 - mmseg - INFO - Iter [110000/160000] lr: 4.687e-06, eta: 2:53:59, time: 0.166, data_time: 0.007, memory: 52541, decode.loss_ce: 0.0427, decode.acc_seg: 98.1326, loss: 0.0427 +2023-03-04 07:34:56,573 - mmseg - INFO - Iter [110050/160000] lr: 4.687e-06, eta: 2:53:47, time: 0.164, data_time: 0.008, memory: 52541, decode.loss_ce: 0.0420, decode.acc_seg: 98.1664, loss: 0.0420 +2023-03-04 07:35:05,089 - mmseg - INFO - Iter [110100/160000] lr: 4.687e-06, eta: 2:53:36, time: 0.170, data_time: 0.007, memory: 52541, decode.loss_ce: 0.0424, decode.acc_seg: 98.1614, loss: 0.0424 +2023-03-04 07:35:13,801 - mmseg - INFO - Iter [110150/160000] lr: 4.687e-06, eta: 2:53:25, time: 0.174, data_time: 0.007, memory: 52541, decode.loss_ce: 0.0443, decode.acc_seg: 98.0862, loss: 0.0443 +2023-03-04 07:35:22,424 - mmseg - INFO - Iter [110200/160000] lr: 4.687e-06, eta: 2:53:13, time: 0.173, data_time: 0.007, memory: 52541, decode.loss_ce: 0.0424, decode.acc_seg: 98.1498, loss: 0.0424 +2023-03-04 07:35:30,670 - mmseg - INFO - Iter [110250/160000] lr: 4.687e-06, eta: 2:53:02, time: 0.165, data_time: 0.007, memory: 52541, decode.loss_ce: 0.0411, decode.acc_seg: 98.1794, loss: 0.0411 +2023-03-04 07:35:39,154 - mmseg - INFO - Iter [110300/160000] lr: 4.687e-06, eta: 2:52:51, time: 0.170, data_time: 0.007, memory: 52541, decode.loss_ce: 0.0397, decode.acc_seg: 98.2522, loss: 0.0397 +2023-03-04 07:35:47,420 - mmseg - INFO - Iter [110350/160000] lr: 4.687e-06, eta: 2:52:39, time: 0.165, data_time: 0.007, memory: 52541, decode.loss_ce: 0.0437, decode.acc_seg: 98.1088, loss: 0.0437 +2023-03-04 07:35:56,029 - mmseg - INFO - Iter [110400/160000] lr: 4.687e-06, eta: 2:52:28, time: 0.172, data_time: 0.008, memory: 52541, decode.loss_ce: 0.0437, decode.acc_seg: 98.1184, loss: 0.0437 +2023-03-04 07:36:07,008 - mmseg - INFO - Iter [110450/160000] lr: 4.687e-06, eta: 2:52:18, time: 0.219, data_time: 0.053, memory: 52541, decode.loss_ce: 0.0427, decode.acc_seg: 98.1225, loss: 0.0427 +2023-03-04 07:36:15,351 - mmseg - INFO - Iter [110500/160000] lr: 4.687e-06, eta: 2:52:07, time: 0.167, data_time: 0.007, memory: 52541, decode.loss_ce: 0.0420, decode.acc_seg: 98.1376, loss: 0.0420 +2023-03-04 07:36:23,699 - mmseg - INFO - Iter [110550/160000] lr: 4.687e-06, eta: 2:51:55, time: 0.167, data_time: 0.007, memory: 52541, decode.loss_ce: 0.0412, decode.acc_seg: 98.2065, loss: 0.0412 +2023-03-04 07:36:32,040 - mmseg - INFO - Iter [110600/160000] lr: 4.687e-06, eta: 2:51:44, time: 0.167, data_time: 0.007, memory: 52541, decode.loss_ce: 0.0442, decode.acc_seg: 98.1248, loss: 0.0442 +2023-03-04 07:36:40,257 - mmseg - INFO - Iter [110650/160000] lr: 4.687e-06, eta: 2:51:32, time: 0.165, data_time: 0.008, memory: 52541, decode.loss_ce: 0.0449, decode.acc_seg: 98.0805, loss: 0.0449 +2023-03-04 07:36:48,289 - mmseg - INFO - Iter [110700/160000] lr: 4.687e-06, eta: 2:51:21, time: 0.161, data_time: 0.007, memory: 52541, decode.loss_ce: 0.0437, decode.acc_seg: 98.1091, loss: 0.0437 +2023-03-04 07:36:56,810 - mmseg - INFO - Iter [110750/160000] lr: 4.687e-06, eta: 2:51:10, time: 0.170, data_time: 0.007, memory: 52541, decode.loss_ce: 0.0416, decode.acc_seg: 98.1707, loss: 0.0416 +2023-03-04 07:37:05,142 - mmseg - INFO - Iter [110800/160000] lr: 4.687e-06, eta: 2:50:58, time: 0.167, data_time: 0.007, memory: 52541, decode.loss_ce: 0.0406, decode.acc_seg: 98.1941, loss: 0.0406 +2023-03-04 07:37:13,772 - mmseg - INFO - Iter [110850/160000] lr: 4.687e-06, eta: 2:50:47, time: 0.173, data_time: 0.007, memory: 52541, decode.loss_ce: 0.0425, decode.acc_seg: 98.1262, loss: 0.0425 +2023-03-04 07:37:22,470 - mmseg - INFO - Iter [110900/160000] lr: 4.687e-06, eta: 2:50:36, time: 0.174, data_time: 0.008, memory: 52541, decode.loss_ce: 0.0412, decode.acc_seg: 98.1798, loss: 0.0412 +2023-03-04 07:37:31,018 - mmseg - INFO - Iter [110950/160000] lr: 4.687e-06, eta: 2:50:25, time: 0.171, data_time: 0.008, memory: 52541, decode.loss_ce: 0.0384, decode.acc_seg: 98.3048, loss: 0.0384 +2023-03-04 07:37:39,284 - mmseg - INFO - Exp name: ablation_segformer_mit_b2_segformer_head_unet_fc_small_multi_step_ade_pretrained_freeze_embed_160k_ade20k151_finetune_ema_wgt.py +2023-03-04 07:37:39,284 - mmseg - INFO - Iter [111000/160000] lr: 4.687e-06, eta: 2:50:13, time: 0.165, data_time: 0.007, memory: 52541, decode.loss_ce: 0.0430, decode.acc_seg: 98.0977, loss: 0.0430 +2023-03-04 07:37:47,479 - mmseg - INFO - Iter [111050/160000] lr: 4.687e-06, eta: 2:50:02, time: 0.164, data_time: 0.007, memory: 52541, decode.loss_ce: 0.0420, decode.acc_seg: 98.1370, loss: 0.0420 +2023-03-04 07:37:58,138 - mmseg - INFO - Iter [111100/160000] lr: 4.687e-06, eta: 2:49:52, time: 0.213, data_time: 0.054, memory: 52541, decode.loss_ce: 0.0435, decode.acc_seg: 98.1154, loss: 0.0435 +2023-03-04 07:38:06,723 - mmseg - INFO - Iter [111150/160000] lr: 4.687e-06, eta: 2:49:40, time: 0.172, data_time: 0.008, memory: 52541, decode.loss_ce: 0.0413, decode.acc_seg: 98.1971, loss: 0.0413 +2023-03-04 07:38:15,282 - mmseg - INFO - Iter [111200/160000] lr: 4.687e-06, eta: 2:49:29, time: 0.171, data_time: 0.008, memory: 52541, decode.loss_ce: 0.0394, decode.acc_seg: 98.2434, loss: 0.0394 +2023-03-04 07:38:23,997 - mmseg - INFO - Iter [111250/160000] lr: 4.687e-06, eta: 2:49:18, time: 0.174, data_time: 0.008, memory: 52541, decode.loss_ce: 0.0437, decode.acc_seg: 98.0796, loss: 0.0437 +2023-03-04 07:38:32,463 - mmseg - INFO - Iter [111300/160000] lr: 4.687e-06, eta: 2:49:07, time: 0.169, data_time: 0.007, memory: 52541, decode.loss_ce: 0.0416, decode.acc_seg: 98.1551, loss: 0.0416 +2023-03-04 07:38:41,052 - mmseg - INFO - Iter [111350/160000] lr: 4.687e-06, eta: 2:48:55, time: 0.172, data_time: 0.007, memory: 52541, decode.loss_ce: 0.0450, decode.acc_seg: 98.0703, loss: 0.0450 +2023-03-04 07:38:49,684 - mmseg - INFO - Iter [111400/160000] lr: 4.687e-06, eta: 2:48:44, time: 0.172, data_time: 0.007, memory: 52541, decode.loss_ce: 0.0414, decode.acc_seg: 98.1935, loss: 0.0414 +2023-03-04 07:38:58,001 - mmseg - INFO - Iter [111450/160000] lr: 4.687e-06, eta: 2:48:33, time: 0.167, data_time: 0.008, memory: 52541, decode.loss_ce: 0.0431, decode.acc_seg: 98.1225, loss: 0.0431 +2023-03-04 07:39:06,287 - mmseg - INFO - Iter [111500/160000] lr: 4.687e-06, eta: 2:48:22, time: 0.166, data_time: 0.007, memory: 52541, decode.loss_ce: 0.0420, decode.acc_seg: 98.1287, loss: 0.0420 +2023-03-04 07:39:14,380 - mmseg - INFO - Iter [111550/160000] lr: 4.687e-06, eta: 2:48:10, time: 0.162, data_time: 0.008, memory: 52541, decode.loss_ce: 0.0438, decode.acc_seg: 98.1100, loss: 0.0438 +2023-03-04 07:39:22,748 - mmseg - INFO - Iter [111600/160000] lr: 4.687e-06, eta: 2:47:59, time: 0.167, data_time: 0.007, memory: 52541, decode.loss_ce: 0.0420, decode.acc_seg: 98.1713, loss: 0.0420 +2023-03-04 07:39:30,823 - mmseg - INFO - Iter [111650/160000] lr: 4.687e-06, eta: 2:47:47, time: 0.161, data_time: 0.008, memory: 52541, decode.loss_ce: 0.0421, decode.acc_seg: 98.1534, loss: 0.0421 +2023-03-04 07:39:41,507 - mmseg - INFO - Iter [111700/160000] lr: 4.687e-06, eta: 2:47:37, time: 0.214, data_time: 0.055, memory: 52541, decode.loss_ce: 0.0389, decode.acc_seg: 98.2984, loss: 0.0389 +2023-03-04 07:39:49,854 - mmseg - INFO - Iter [111750/160000] lr: 4.687e-06, eta: 2:47:26, time: 0.167, data_time: 0.007, memory: 52541, decode.loss_ce: 0.0438, decode.acc_seg: 98.0850, loss: 0.0438 +2023-03-04 07:39:58,232 - mmseg - INFO - Iter [111800/160000] lr: 4.687e-06, eta: 2:47:14, time: 0.168, data_time: 0.007, memory: 52541, decode.loss_ce: 0.0436, decode.acc_seg: 98.1223, loss: 0.0436 +2023-03-04 07:40:06,501 - mmseg - INFO - Iter [111850/160000] lr: 4.687e-06, eta: 2:47:03, time: 0.165, data_time: 0.007, memory: 52541, decode.loss_ce: 0.0412, decode.acc_seg: 98.2064, loss: 0.0412 +2023-03-04 07:40:14,716 - mmseg - INFO - Iter [111900/160000] lr: 4.687e-06, eta: 2:46:52, time: 0.165, data_time: 0.008, memory: 52541, decode.loss_ce: 0.0402, decode.acc_seg: 98.2432, loss: 0.0402 +2023-03-04 07:40:22,924 - mmseg - INFO - Iter [111950/160000] lr: 4.687e-06, eta: 2:46:40, time: 0.164, data_time: 0.008, memory: 52541, decode.loss_ce: 0.0448, decode.acc_seg: 98.0896, loss: 0.0448 +2023-03-04 07:40:31,609 - mmseg - INFO - Swap parameters (after train) after iter [112000] +2023-03-04 07:40:31,622 - mmseg - INFO - Saving checkpoint at 112000 iterations +2023-03-04 07:40:32,647 - mmseg - INFO - Exp name: ablation_segformer_mit_b2_segformer_head_unet_fc_small_multi_step_ade_pretrained_freeze_embed_160k_ade20k151_finetune_ema_wgt.py +2023-03-04 07:40:32,648 - mmseg - INFO - Iter [112000/160000] lr: 4.687e-06, eta: 2:46:30, time: 0.194, data_time: 0.007, memory: 52541, decode.loss_ce: 0.0439, decode.acc_seg: 98.0931, loss: 0.0439 +2023-03-04 07:51:24,429 - mmseg - INFO - per class results: +2023-03-04 07:51:24,438 - mmseg - INFO - ++---------------------+-------------------------------------------------------------------+ +| Class | IoU 0,10,20,30,40,50,60,70,80,90,99 | ++---------------------+-------------------------------------------------------------------+ +| background | nan,nan,nan,nan,nan,nan,nan,nan,nan,nan,nan | +| wall | 76.73,75.67,73.67,70.24,65.81,61.36,57.41,54.14,51.57,49.65,48.44 | +| building | 81.31,80.81,80.16,78.5,75.81,72.34,68.84,65.79,63.41,61.69,60.67 | +| sky | 94.41,93.99,93.35,91.77,88.85,85.03,81.07,77.71,75.0,72.86,71.42 | +| floor | 81.36,80.34,78.85,75.8,71.42,66.66,62.3,58.74,56.07,54.14,52.95 | +| tree | 73.9,72.57,70.66,66.85,61.18,54.95,49.49,45.28,42.11,39.83,38.31 | +| ceiling | 84.68,83.89,80.7,74.33,65.93,57.67,50.3,44.12,39.13,35.12,32.27 | +| road | 81.63,81.05,79.45,76.63,73.51,70.5,67.82,65.59,63.76,62.18,61.12 | +| bed | 87.48,86.98,86.05,83.93,80.45,75.8,71.1,66.7,63.01,60.27,58.43 | +| windowpane | 59.68,58.62,57.24,54.8,51.77,48.32,44.92,41.84,39.21,37.28,36.09 | +| grass | 66.81,66.29,64.93,62.58,59.59,56.68,54.25,52.23,50.62,49.47,48.74 | +| cabinet | 59.7,59.92,58.93,56.82,54.0,50.79,47.56,44.77,42.36,40.5,39.26 | +| sidewalk | 62.55,61.21,57.51,51.6,45.99,42.1,39.41,37.54,36.18,35.17,34.66 | +| person | 78.8,78.1,76.66,73.85,68.92,62.26,55.36,49.18,44.3,40.79,38.75 | +| earth | 35.35,36.21,36.03,35.7,34.78,33.74,32.71,31.82,30.99,30.32,29.92 | +| door | 44.41,42.85,40.55,37.61,34.57,31.91,29.67,27.7,26.0,24.69,23.76 | +| table | 59.28,59.24,57.81,54.78,49.72,43.46,37.54,32.73,29.3,26.7,25.15 | +| mountain | 55.06,54.6,53.86,52.29,49.84,47.13,44.72,42.84,41.45,40.5,39.93 | +| plant | 50.5,48.56,47.31,45.18,42.0,38.29,34.87,32.02,29.76,28.22,27.36 | +| curtain | 73.5,74.17,71.81,67.6,61.88,55.8,50.38,45.78,42.13,39.44,37.75 | +| chair | 55.05,54.55,53.86,51.93,48.26,43.33,37.81,32.9,29.16,26.6,25.1 | +| car | 81.27,82.15,81.08,78.58,74.65,69.21,62.78,56.61,51.63,47.89,45.64 | +| water | 56.35,57.63,57.14,56.22,54.73,53.12,51.54,50.19,49.13,48.51,48.2 | +| painting | 70.51,69.25,68.44,66.68,64.3,62.0,59.49,57.21,55.18,53.64,52.74 | +| sofa | 62.44,63.91,63.3,62.42,60.38,56.8,52.79,48.83,45.38,42.9,41.47 | +| shelf | 44.75,42.92,41.5,39.33,36.68,34.02,31.57,29.63,28.06,26.88,26.2 | +| house | 37.77,33.97,33.83,33.1,32.15,30.83,29.48,28.07,26.86,25.89,25.19 | +| sea | 58.79,60.32,60.63,59.89,58.47,56.53,54.69,53.28,52.08,51.12,50.56 | +| mirror | 63.35,62.76,61.79,59.47,56.69,53.62,50.15,46.74,43.64,41.03,39.18 | +| rug | 64.71,64.06,63.23,60.4,55.25,49.94,45.26,41.19,38.15,36.14,34.84 | +| field | 30.67,30.48,30.39,30.06,29.44,28.94,28.47,28.21,28.03,27.84,27.69 | +| armchair | 37.37,38.71,38.4,37.4,35.73,33.36,30.53,27.63,24.97,22.76,21.22 | +| seat | 65.86,66.71,65.3,63.0,59.93,56.57,53.4,50.45,47.96,46.17,44.95 | +| fence | 38.38,38.36,36.83,33.53,30.36,27.67,25.63,24.12,22.94,22.36,22.14 | +| desk | 45.89,46.22,45.71,43.74,41.02,37.55,34.61,32.09,30.1,28.52,27.7 | +| rock | 37.45,34.71,33.86,32.59,30.9,28.83,27.08,25.71,24.72,24.17,23.9 | +| wardrobe | 56.08,56.66,54.86,52.74,50.18,47.82,45.53,43.51,41.88,40.52,39.5 | +| lamp | 59.84,59.35,59.41,57.7,54.49,50.64,45.03,39.17,34.05,29.58,26.8 | +| bathtub | 71.26,71.23,70.68,68.12,64.39,59.6,54.87,50.44,46.62,43.44,41.17 | +| railing | 33.69,32.67,31.77,30.09,27.71,24.76,22.25,20.73,19.45,18.61,18.15 | +| cushion | 54.0,52.02,51.02,50.65,49.37,46.11,42.46,37.2,31.83,26.99,23.95 | +| base | 21.51,21.04,21.26,19.97,18.3,17.13,15.69,14.48,13.81,13.36,13.06 | +| box | 21.48,21.68,20.94,20.25,19.04,17.71,16.43,15.01,13.68,12.66,11.91 | +| column | 45.0,44.49,42.69,40.67,37.72,34.42,31.2,27.96,25.63,23.93,22.81 | +| signboard | 37.75,36.36,35.31,34.1,31.55,28.77,25.98,23.14,20.73,18.62,17.31 | +| chest of drawers | 35.66,35.74,35.28,34.69,34.06,32.95,31.45,29.64,28.02,26.69,25.84 | +| counter | 30.25,32.18,33.21,31.99,30.19,27.78,25.53,23.56,21.97,20.87,20.14 | +| sand | 39.29,39.23,39.06,38.98,38.73,38.56,38.24,37.73,37.32,36.98,36.8 | +| sink | 66.94,66.34,66.32,64.49,60.3,55.11,48.36,42.54,37.21,32.66,29.53 | +| skyscraper | 48.43,47.93,46.97,45.79,44.23,42.49,40.78,39.28,38.07,37.09,36.39 | +| fireplace | 75.05,73.76,73.76,72.56,70.43,68.02,64.16,59.66,55.69,52.57,50.13 | +| refrigerator | 70.96,70.97,69.16,66.5,63.07,59.1,54.86,51.24,47.86,45.03,43.27 | +| grandstand | 48.95,53.01,54.29,54.67,53.24,50.41,47.64,45.81,43.66,42.13,40.96 | +| path | 20.24,21.3,21.21,20.09,17.03,15.3,14.07,13.32,12.6,12.05,11.67 | +| stairs | 33.88,33.36,32.01,30.75,28.83,25.58,22.77,20.54,18.59,17.2,16.55 | +| runway | 65.76,65.46,65.19,64.39,63.04,62.0,61.16,60.49,59.93,59.48,59.15 | +| case | 48.78,48.71,48.39,46.0,42.77,40.22,38.54,37.88,37.22,36.65,36.18 | +| pool table | 91.65,91.66,90.14,87.89,84.26,79.37,74.2,69.69,65.85,62.7,60.88 | +| pillow | 57.21,56.11,55.45,53.53,49.51,43.25,35.62,28.95,23.71,19.88,18.04 | +| screen door | 67.0,63.07,60.94,58.16,54.87,51.86,48.04,43.93,39.43,35.74,33.28 | +| stairway | 24.02,23.24,22.31,21.43,19.91,18.16,16.75,15.73,15.51,15.23,14.69 | +| river | 11.58,11.84,11.54,11.4,11.13,10.79,10.42,10.12,9.94,9.76,9.61 | +| bridge | 31.83,29.25,28.34,26.6,24.46,21.93,20.24,18.88,17.66,16.82,16.42 | +| bookcase | 45.66,42.89,42.12,40.11,36.93,33.63,31.23,28.47,26.12,24.37,22.98 | +| blind | 36.82,36.1,36.12,35.66,35.23,34.93,34.45,33.59,32.38,31.02,30.35 | +| coffee table | 52.86,53.66,53.87,52.6,49.9,45.81,41.19,36.75,32.56,29.31,26.78 | +| toilet | 82.47,83.08,83.31,81.87,79.7,76.09,71.47,65.75,60.4,55.96,52.85 | +| flower | 38.67,39.18,38.04,35.88,32.63,27.8,23.7,19.91,17.11,15.52,14.55 | +| book | 44.95,43.0,43.56,42.03,40.2,37.45,34.3,31.63,29.84,28.8,27.88 | +| hill | 15.72,15.41,15.56,15.13,13.67,12.43,10.79,9.54,8.65,8.1,7.87 | +| bench | 40.38,41.91,41.23,39.37,37.52,35.22,33.65,31.81,29.92,28.29,27.23 | +| countertop | 50.96,52.52,52.55,50.85,48.04,41.81,35.96,31.65,28.09,25.61,23.88 | +| stove | 70.82,69.41,68.6,66.42,63.4,59.86,55.34,50.37,45.53,41.89,39.34 | +| palm | 47.45,48.4,46.45,43.6,40.26,37.01,33.38,30.52,28.0,26.02,24.56 | +| kitchen island | 39.4,40.4,40.29,40.33,39.57,37.64,35.16,32.43,30.44,28.23,26.83 | +| computer | 58.12,57.1,56.03,54.91,52.84,50.29,48.02,45.46,43.18,41.61,40.43 | +| swivel chair | 44.01,44.99,44.92,44.0,42.82,40.05,36.33,32.87,30.26,28.23,26.87 | +| boat | 70.67,71.99,71.48,68.16,64.48,59.76,55.81,51.67,48.93,47.0,45.91 | +| bar | 20.83,20.69,20.96,20.05,18.74,17.34,15.95,14.82,13.82,12.92,12.31 | +| arcade machine | 70.33,65.92,61.66,55.45,48.97,42.8,37.24,32.67,28.17,23.76,20.26 | +| hovel | 20.34,19.9,19.18,18.43,17.41,16.87,15.93,14.79,13.74,12.91,12.29 | +| bus | 75.57,77.97,76.48,75.6,73.49,70.37,66.69,63.7,61.91,60.36,59.34 | +| towel | 59.46,60.89,61.27,58.51,53.27,47.61,42.07,36.52,31.22,27.04,24.31 | +| light | 49.19,54.9,54.15,52.88,50.4,46.47,40.9,36.87,32.79,28.59,25.94 | +| truck | 15.88,16.5,16.15,16.53,15.57,14.42,13.06,11.11,9.75,8.65,7.83 | +| tower | 9.97,9.05,8.94,8.47,7.35,6.34,5.13,4.15,3.42,3.01,2.79 | +| chandelier | 62.73,61.72,60.99,58.57,54.97,49.35,43.76,37.39,31.0,25.81,22.7 | +| awning | 24.39,27.47,26.36,24.35,21.79,18.0,13.78,10.49,8.96,8.09,7.36 | +| streetlight | 23.36,23.71,24.15,23.84,22.19,20.35,18.24,16.07,13.01,11.02,9.64 | +| booth | 37.34,36.45,35.59,34.11,32.91,31.9,30.78,29.48,28.23,27.08,26.39 | +| television receiver | 63.85,62.98,62.38,60.08,58.01,55.01,52.43,48.97,45.92,43.15,41.2 | +| airplane | 58.82,56.93,55.29,53.22,49.15,43.26,38.58,35.05,32.17,30.29,28.93 | +| dirt track | 16.69,17.5,17.32,17.42,17.21,16.85,16.68,16.23,16.11,16.19,16.28 | +| apparel | 31.99,26.84,26.97,25.01,23.02,20.93,19.14,17.16,15.78,14.57,13.95 | +| pole | 17.19,17.78,16.32,14.86,13.05,10.75,8.81,6.81,5.82,5.24,4.79 | +| land | 2.63,3.39,3.53,3.73,4.49,5.18,5.71,5.94,6.13,6.35,6.49 | +| bannister | 12.48,9.21,9.07,9.05,8.56,7.83,6.74,5.64,5.27,4.74,4.12 | +| escalator | 21.52,19.08,18.12,17.03,16.39,15.69,15.07,14.23,13.24,12.44,11.68 | +| ottoman | 43.99,39.17,39.27,37.82,36.47,34.51,32.23,29.78,27.6,25.91,24.84 | +| bottle | 32.73,33.81,34.02,31.88,29.56,27.68,25.6,23.47,21.82,20.54,19.67 | +| buffet | 36.57,38.22,36.37,35.51,33.32,31.27,29.05,27.48,26.02,25.05,24.25 | +| poster | 23.37,26.68,26.47,25.89,25.37,25.31,24.82,24.31,23.35,22.73,22.22 | +| stage | 13.22,14.0,14.1,14.13,13.53,12.79,12.32,11.79,11.36,10.4,9.5 | +| van | 41.64,39.04,38.39,37.78,35.9,33.85,31.45,29.24,27.57,26.09,25.24 | +| ship | 79.87,82.26,84.67,85.79,85.78,84.51,82.97,81.9,80.64,79.59,79.2 | +| fountain | 16.62,16.03,13.68,11.84,10.14,8.9,8.11,7.26,6.71,6.56,6.48 | +| conveyer belt | 82.88,85.45,84.72,83.18,77.29,73.85,70.98,68.11,64.81,62.24,59.5 | +| canopy | 21.97,23.96,23.97,22.39,20.12,17.55,14.99,13.06,11.51,10.17,9.48 | +| washer | 77.65,77.33,75.17,71.93,67.37,62.41,58.97,57.54,56.48,56.14,55.89 | +| plaything | 20.55,19.92,20.18,19.86,18.69,16.9,14.47,12.35,10.36,8.99,8.27 | +| swimming pool | 72.31,77.57,78.01,76.33,74.4,71.37,68.27,65.18,60.62,56.32,52.51 | +| stool | 42.39,43.36,42.17,40.05,35.99,30.9,25.85,20.24,15.71,13.03,12.28 | +| barrel | 34.46,32.32,34.9,32.6,30.84,26.46,25.17,24.32,23.8,23.12,22.32 | +| basket | 22.88,24.44,24.07,24.02,22.39,20.84,18.96,17.5,15.6,13.85,12.51 | +| waterfall | 50.6,46.54,46.08,44.36,42.93,39.48,36.93,34.97,33.85,33.62,33.53 | +| tent | 94.09,95.86,93.67,88.04,81.94,77.37,72.83,67.67,62.57,58.08,54.93 | +| bag | 13.7,16.72,15.72,13.86,12.76,11.13,9.83,8.33,7.24,6.3,5.51 | +| minibike | 57.94,64.32,62.73,60.54,56.67,52.41,45.65,39.6,33.97,29.37,26.65 | +| cradle | 82.06,84.85,82.33,75.67,69.04,62.67,56.81,52.9,48.9,45.7,43.64 | +| oven | 43.65,51.3,53.29,50.46,49.28,47.3,45.61,44.02,41.97,39.85,38.86 | +| ball | 42.66,42.06,39.91,36.75,32.83,29.56,26.92,24.16,22.28,21.57,21.23 | +| food | 46.58,56.09,55.89,53.06,49.12,45.46,41.87,38.86,36.25,34.22,32.78 | +| step | 4.67,5.34,5.01,4.06,2.29,1.14,0.41,0.31,0.29,0.19,0.07 | +| tank | 53.53,53.97,53.29,51.65,49.3,46.85,44.19,42.28,41.08,40.03,39.19 | +| trade name | 26.92,30.49,29.66,26.99,23.2,18.15,13.0,10.1,7.65,5.97,5.21 | +| microwave | 73.33,79.35,79.14,75.64,72.07,68.18,64.43,61.49,58.57,56.64,55.12 | +| pot | 31.48,29.2,29.52,26.71,24.23,21.32,18.12,14.99,12.31,10.29,8.81 | +| animal | 54.01,53.72,53.17,51.66,49.91,46.75,43.64,40.56,37.77,35.06,33.16 | +| bicycle | 48.22,48.4,49.29,45.23,42.02,36.42,30.16,24.94,21.84,19.02,17.72 | +| lake | 55.99,56.52,56.35,56.42,56.19,56.09,55.85,55.71,55.6,55.47,55.38 | +| dishwasher | 64.84,65.95,66.18,64.29,61.2,57.15,52.64,49.16,45.53,42.27,39.71 | +| screen | 65.77,78.33,78.72,77.85,76.13,74.34,73.26,72.28,71.29,70.44,70.18 | +| blanket | 14.26,15.72,15.37,13.58,12.23,10.47,9.18,7.99,7.34,6.94,6.52 | +| sculpture | 57.71,56.68,55.96,52.47,49.33,44.23,39.85,37.92,36.45,35.14,34.54 | +| hood | 59.91,61.12,60.74,57.82,54.99,50.46,45.58,40.99,37.48,34.28,32.21 | +| sconce | 40.02,39.4,39.25,38.46,35.34,32.22,27.73,22.74,18.33,15.16,14.0 | +| vase | 35.08,33.74,34.92,34.13,32.79,29.56,26.24,22.05,18.62,15.72,13.75 | +| traffic light | 29.95,31.05,31.1,29.21,26.24,22.93,20.29,15.39,12.23,10.71,9.97 | +| tray | 4.37,5.75,5.96,5.42,5.17,5.24,5.07,4.11,3.18,2.65,2.24 | +| ashcan | 40.42,41.32,40.53,40.15,38.64,35.05,30.78,27.08,23.98,21.27,19.46 | +| fan | 53.41,55.04,56.68,54.99,51.9,47.61,42.51,37.46,31.79,27.67,25.2 | +| pier | 36.55,24.14,23.47,23.02,23.53,23.01,23.13,22.26,21.89,21.18,20.68 | +| crt screen | 9.77,10.98,11.45,12.07,12.9,12.97,12.3,11.26,11.08,10.5,9.72 | +| plate | 45.95,48.6,47.89,44.55,41.31,36.92,32.32,27.39,23.47,19.88,17.62 | +| monitor | 16.53,9.22,8.19,8.07,7.83,7.13,6.76,6.03,5.42,4.97,4.47 | +| bulletin board | 36.59,31.47,30.97,30.41,28.13,25.41,22.49,19.26,15.82,13.47,11.82 | +| shower | 0.6,0.16,0.12,0.06,0.01,0.0,0.03,0.15,0.28,0.5,0.64 | +| radiator | 57.8,58.14,57.28,52.67,45.34,34.99,25.21,19.55,16.26,14.59,13.78 | +| glass | 11.55,11.8,12.93,12.82,12.18,10.93,9.24,7.36,5.67,4.86,4.59 | +| clock | 31.19,28.1,26.76,24.9,21.48,17.13,13.14,9.65,7.35,5.92,5.31 | +| flag | 30.53,28.86,27.05,26.24,24.18,21.75,19.98,18.24,16.48,15.37,14.42 | ++---------------------+-------------------------------------------------------------------+ +2023-03-04 07:51:24,438 - mmseg - INFO - Summary: +2023-03-04 07:51:24,438 - mmseg - INFO - ++-------------------------------------------------------------------+ +| mIoU 0,10,20,30,40,50,60,70,80,90,99 | ++-------------------------------------------------------------------+ +| 46.96,47.02,46.39,44.65,42.16,39.15,36.15,33.42,31.11,29.31,28.13 | ++-------------------------------------------------------------------+ +2023-03-04 07:51:24,438 - mmseg - INFO - Exp name: ablation_segformer_mit_b2_segformer_head_unet_fc_small_multi_step_ade_pretrained_freeze_embed_160k_ade20k151_finetune_ema_wgt.py +2023-03-04 07:51:24,438 - mmseg - INFO - Iter(val) [250] mIoU: [0.4696, 0.4702, 0.4639, 0.4465, 0.4216, 0.3915, 0.3615, 0.3342, 0.3111, 0.2931, 0.2813], copy_paste: 46.96,47.02,46.39,44.65,42.16,39.15,36.15,33.42,31.11,29.31,28.13 +2023-03-04 07:51:24,446 - mmseg - INFO - Swap parameters (before train) before iter [112001] +2023-03-04 07:51:33,183 - mmseg - INFO - Iter [112050/160000] lr: 4.687e-06, eta: 2:50:58, time: 13.210, data_time: 13.044, memory: 52541, decode.loss_ce: 0.0428, decode.acc_seg: 98.1701, loss: 0.0428 +2023-03-04 07:51:41,558 - mmseg - INFO - Iter [112100/160000] lr: 4.687e-06, eta: 2:50:46, time: 0.168, data_time: 0.008, memory: 52541, decode.loss_ce: 0.0442, decode.acc_seg: 98.0887, loss: 0.0442 +2023-03-04 07:51:49,969 - mmseg - INFO - Iter [112150/160000] lr: 4.687e-06, eta: 2:50:34, time: 0.168, data_time: 0.008, memory: 52541, decode.loss_ce: 0.0413, decode.acc_seg: 98.1882, loss: 0.0413 +2023-03-04 07:51:58,317 - mmseg - INFO - Iter [112200/160000] lr: 4.687e-06, eta: 2:50:22, time: 0.167, data_time: 0.007, memory: 52541, decode.loss_ce: 0.0434, decode.acc_seg: 98.0850, loss: 0.0434 +2023-03-04 07:52:07,500 - mmseg - INFO - Iter [112250/160000] lr: 4.687e-06, eta: 2:50:11, time: 0.184, data_time: 0.007, memory: 52541, decode.loss_ce: 0.0434, decode.acc_seg: 98.0957, loss: 0.0434 +2023-03-04 07:52:15,913 - mmseg - INFO - Iter [112300/160000] lr: 4.687e-06, eta: 2:49:59, time: 0.168, data_time: 0.007, memory: 52541, decode.loss_ce: 0.0421, decode.acc_seg: 98.1301, loss: 0.0421 +2023-03-04 07:52:26,576 - mmseg - INFO - Iter [112350/160000] lr: 4.687e-06, eta: 2:49:49, time: 0.213, data_time: 0.055, memory: 52541, decode.loss_ce: 0.0422, decode.acc_seg: 98.1411, loss: 0.0422 +2023-03-04 07:52:34,866 - mmseg - INFO - Iter [112400/160000] lr: 4.687e-06, eta: 2:49:37, time: 0.166, data_time: 0.008, memory: 52541, decode.loss_ce: 0.0432, decode.acc_seg: 98.1013, loss: 0.0432 +2023-03-04 07:52:43,611 - mmseg - INFO - Iter [112450/160000] lr: 4.687e-06, eta: 2:49:26, time: 0.175, data_time: 0.007, memory: 52541, decode.loss_ce: 0.0417, decode.acc_seg: 98.1945, loss: 0.0417 +2023-03-04 07:52:52,111 - mmseg - INFO - Iter [112500/160000] lr: 4.687e-06, eta: 2:49:14, time: 0.170, data_time: 0.009, memory: 52541, decode.loss_ce: 0.0422, decode.acc_seg: 98.1803, loss: 0.0422 +2023-03-04 07:53:00,256 - mmseg - INFO - Iter [112550/160000] lr: 4.687e-06, eta: 2:49:02, time: 0.163, data_time: 0.008, memory: 52541, decode.loss_ce: 0.0401, decode.acc_seg: 98.2499, loss: 0.0401 +2023-03-04 07:53:08,636 - mmseg - INFO - Iter [112600/160000] lr: 4.687e-06, eta: 2:48:51, time: 0.167, data_time: 0.007, memory: 52541, decode.loss_ce: 0.0424, decode.acc_seg: 98.1442, loss: 0.0424 +2023-03-04 07:53:17,058 - mmseg - INFO - Iter [112650/160000] lr: 4.687e-06, eta: 2:48:39, time: 0.168, data_time: 0.008, memory: 52541, decode.loss_ce: 0.0429, decode.acc_seg: 98.1268, loss: 0.0429 +2023-03-04 07:53:25,621 - mmseg - INFO - Iter [112700/160000] lr: 4.687e-06, eta: 2:48:27, time: 0.171, data_time: 0.008, memory: 52541, decode.loss_ce: 0.0400, decode.acc_seg: 98.1968, loss: 0.0400 +2023-03-04 07:53:33,728 - mmseg - INFO - Iter [112750/160000] lr: 4.687e-06, eta: 2:48:16, time: 0.162, data_time: 0.007, memory: 52541, decode.loss_ce: 0.0412, decode.acc_seg: 98.1962, loss: 0.0412 +2023-03-04 07:53:41,821 - mmseg - INFO - Iter [112800/160000] lr: 4.687e-06, eta: 2:48:04, time: 0.162, data_time: 0.008, memory: 52541, decode.loss_ce: 0.0415, decode.acc_seg: 98.1779, loss: 0.0415 +2023-03-04 07:53:50,039 - mmseg - INFO - Iter [112850/160000] lr: 4.687e-06, eta: 2:47:52, time: 0.164, data_time: 0.007, memory: 52541, decode.loss_ce: 0.0443, decode.acc_seg: 98.1080, loss: 0.0443 +2023-03-04 07:53:58,885 - mmseg - INFO - Iter [112900/160000] lr: 4.687e-06, eta: 2:47:41, time: 0.177, data_time: 0.008, memory: 52541, decode.loss_ce: 0.0423, decode.acc_seg: 98.1334, loss: 0.0423 +2023-03-04 07:54:09,865 - mmseg - INFO - Iter [112950/160000] lr: 4.687e-06, eta: 2:47:30, time: 0.220, data_time: 0.057, memory: 52541, decode.loss_ce: 0.0445, decode.acc_seg: 98.0861, loss: 0.0445 +2023-03-04 07:54:17,966 - mmseg - INFO - Exp name: ablation_segformer_mit_b2_segformer_head_unet_fc_small_multi_step_ade_pretrained_freeze_embed_160k_ade20k151_finetune_ema_wgt.py +2023-03-04 07:54:17,966 - mmseg - INFO - Iter [113000/160000] lr: 4.687e-06, eta: 2:47:18, time: 0.162, data_time: 0.008, memory: 52541, decode.loss_ce: 0.0446, decode.acc_seg: 98.0365, loss: 0.0446 +2023-03-04 07:54:26,332 - mmseg - INFO - Iter [113050/160000] lr: 4.687e-06, eta: 2:47:07, time: 0.167, data_time: 0.008, memory: 52541, decode.loss_ce: 0.0410, decode.acc_seg: 98.2009, loss: 0.0410 +2023-03-04 07:54:34,759 - mmseg - INFO - Iter [113100/160000] lr: 4.687e-06, eta: 2:46:55, time: 0.169, data_time: 0.007, memory: 52541, decode.loss_ce: 0.0409, decode.acc_seg: 98.2131, loss: 0.0409 +2023-03-04 07:54:43,294 - mmseg - INFO - Iter [113150/160000] lr: 4.687e-06, eta: 2:46:43, time: 0.171, data_time: 0.008, memory: 52541, decode.loss_ce: 0.0451, decode.acc_seg: 98.0404, loss: 0.0451 +2023-03-04 07:54:51,831 - mmseg - INFO - Iter [113200/160000] lr: 4.687e-06, eta: 2:46:32, time: 0.171, data_time: 0.007, memory: 52541, decode.loss_ce: 0.0426, decode.acc_seg: 98.1529, loss: 0.0426 +2023-03-04 07:54:59,842 - mmseg - INFO - Iter [113250/160000] lr: 4.687e-06, eta: 2:46:20, time: 0.160, data_time: 0.008, memory: 52541, decode.loss_ce: 0.0406, decode.acc_seg: 98.2376, loss: 0.0406 +2023-03-04 07:55:08,226 - mmseg - INFO - Iter [113300/160000] lr: 4.687e-06, eta: 2:46:09, time: 0.168, data_time: 0.007, memory: 52541, decode.loss_ce: 0.0414, decode.acc_seg: 98.2002, loss: 0.0414 +2023-03-04 07:55:17,184 - mmseg - INFO - Iter [113350/160000] lr: 4.687e-06, eta: 2:45:57, time: 0.179, data_time: 0.007, memory: 52541, decode.loss_ce: 0.0435, decode.acc_seg: 98.0353, loss: 0.0435 +2023-03-04 07:55:25,493 - mmseg - INFO - Iter [113400/160000] lr: 4.687e-06, eta: 2:45:46, time: 0.166, data_time: 0.007, memory: 52541, decode.loss_ce: 0.0411, decode.acc_seg: 98.2152, loss: 0.0411 +2023-03-04 07:55:34,002 - mmseg - INFO - Iter [113450/160000] lr: 4.687e-06, eta: 2:45:34, time: 0.170, data_time: 0.007, memory: 52541, decode.loss_ce: 0.0429, decode.acc_seg: 98.1397, loss: 0.0429 +2023-03-04 07:55:42,179 - mmseg - INFO - Iter [113500/160000] lr: 4.687e-06, eta: 2:45:22, time: 0.163, data_time: 0.007, memory: 52541, decode.loss_ce: 0.0409, decode.acc_seg: 98.2191, loss: 0.0409 +2023-03-04 07:55:50,681 - mmseg - INFO - Iter [113550/160000] lr: 4.687e-06, eta: 2:45:11, time: 0.170, data_time: 0.007, memory: 52541, decode.loss_ce: 0.0425, decode.acc_seg: 98.1513, loss: 0.0425 +2023-03-04 07:56:01,551 - mmseg - INFO - Iter [113600/160000] lr: 4.687e-06, eta: 2:45:00, time: 0.217, data_time: 0.053, memory: 52541, decode.loss_ce: 0.0438, decode.acc_seg: 98.1052, loss: 0.0438 +2023-03-04 07:56:10,569 - mmseg - INFO - Iter [113650/160000] lr: 4.687e-06, eta: 2:44:49, time: 0.180, data_time: 0.008, memory: 52541, decode.loss_ce: 0.0425, decode.acc_seg: 98.1184, loss: 0.0425 +2023-03-04 07:56:18,789 - mmseg - INFO - Iter [113700/160000] lr: 4.687e-06, eta: 2:44:37, time: 0.164, data_time: 0.007, memory: 52541, decode.loss_ce: 0.0423, decode.acc_seg: 98.1630, loss: 0.0423 +2023-03-04 07:56:27,245 - mmseg - INFO - Iter [113750/160000] lr: 4.687e-06, eta: 2:44:26, time: 0.169, data_time: 0.007, memory: 52541, decode.loss_ce: 0.0420, decode.acc_seg: 98.1647, loss: 0.0420 +2023-03-04 07:56:35,662 - mmseg - INFO - Iter [113800/160000] lr: 4.687e-06, eta: 2:44:14, time: 0.168, data_time: 0.007, memory: 52541, decode.loss_ce: 0.0421, decode.acc_seg: 98.1736, loss: 0.0421 +2023-03-04 07:56:44,100 - mmseg - INFO - Iter [113850/160000] lr: 4.687e-06, eta: 2:44:02, time: 0.169, data_time: 0.007, memory: 52541, decode.loss_ce: 0.0429, decode.acc_seg: 98.1330, loss: 0.0429 +2023-03-04 07:56:52,518 - mmseg - INFO - Iter [113900/160000] lr: 4.687e-06, eta: 2:43:51, time: 0.168, data_time: 0.007, memory: 52541, decode.loss_ce: 0.0417, decode.acc_seg: 98.1680, loss: 0.0417 +2023-03-04 07:57:01,066 - mmseg - INFO - Iter [113950/160000] lr: 4.687e-06, eta: 2:43:39, time: 0.171, data_time: 0.007, memory: 52541, decode.loss_ce: 0.0404, decode.acc_seg: 98.1946, loss: 0.0404 +2023-03-04 07:57:09,186 - mmseg - INFO - Exp name: ablation_segformer_mit_b2_segformer_head_unet_fc_small_multi_step_ade_pretrained_freeze_embed_160k_ade20k151_finetune_ema_wgt.py +2023-03-04 07:57:09,186 - mmseg - INFO - Iter [114000/160000] lr: 4.687e-06, eta: 2:43:28, time: 0.162, data_time: 0.007, memory: 52541, decode.loss_ce: 0.0429, decode.acc_seg: 98.1145, loss: 0.0429 +2023-03-04 07:57:17,526 - mmseg - INFO - Iter [114050/160000] lr: 4.687e-06, eta: 2:43:16, time: 0.167, data_time: 0.007, memory: 52541, decode.loss_ce: 0.0397, decode.acc_seg: 98.2313, loss: 0.0397 +2023-03-04 07:57:25,598 - mmseg - INFO - Iter [114100/160000] lr: 4.687e-06, eta: 2:43:04, time: 0.161, data_time: 0.008, memory: 52541, decode.loss_ce: 0.0434, decode.acc_seg: 98.1060, loss: 0.0434 +2023-03-04 07:57:34,048 - mmseg - INFO - Iter [114150/160000] lr: 4.687e-06, eta: 2:42:53, time: 0.169, data_time: 0.007, memory: 52541, decode.loss_ce: 0.0407, decode.acc_seg: 98.2279, loss: 0.0407 +2023-03-04 07:57:42,148 - mmseg - INFO - Iter [114200/160000] lr: 4.687e-06, eta: 2:42:41, time: 0.162, data_time: 0.008, memory: 52541, decode.loss_ce: 0.0410, decode.acc_seg: 98.1620, loss: 0.0410 +2023-03-04 07:57:53,405 - mmseg - INFO - Iter [114250/160000] lr: 4.687e-06, eta: 2:42:31, time: 0.225, data_time: 0.055, memory: 52541, decode.loss_ce: 0.0416, decode.acc_seg: 98.2119, loss: 0.0416 +2023-03-04 07:58:01,563 - mmseg - INFO - Iter [114300/160000] lr: 4.687e-06, eta: 2:42:19, time: 0.163, data_time: 0.007, memory: 52541, decode.loss_ce: 0.0413, decode.acc_seg: 98.1803, loss: 0.0413 +2023-03-04 07:58:10,032 - mmseg - INFO - Iter [114350/160000] lr: 4.687e-06, eta: 2:42:07, time: 0.169, data_time: 0.008, memory: 52541, decode.loss_ce: 0.0405, decode.acc_seg: 98.2569, loss: 0.0405 +2023-03-04 07:58:18,898 - mmseg - INFO - Iter [114400/160000] lr: 4.687e-06, eta: 2:41:56, time: 0.177, data_time: 0.009, memory: 52541, decode.loss_ce: 0.0409, decode.acc_seg: 98.1853, loss: 0.0409 +2023-03-04 07:58:27,104 - mmseg - INFO - Iter [114450/160000] lr: 4.687e-06, eta: 2:41:44, time: 0.164, data_time: 0.007, memory: 52541, decode.loss_ce: 0.0452, decode.acc_seg: 98.0230, loss: 0.0452 +2023-03-04 07:58:35,560 - mmseg - INFO - Iter [114500/160000] lr: 4.687e-06, eta: 2:41:33, time: 0.169, data_time: 0.007, memory: 52541, decode.loss_ce: 0.0455, decode.acc_seg: 98.0413, loss: 0.0455 +2023-03-04 07:58:44,031 - mmseg - INFO - Iter [114550/160000] lr: 4.687e-06, eta: 2:41:21, time: 0.169, data_time: 0.007, memory: 52541, decode.loss_ce: 0.0413, decode.acc_seg: 98.1784, loss: 0.0413 +2023-03-04 07:58:52,735 - mmseg - INFO - Iter [114600/160000] lr: 4.687e-06, eta: 2:41:10, time: 0.174, data_time: 0.007, memory: 52541, decode.loss_ce: 0.0425, decode.acc_seg: 98.1316, loss: 0.0425 +2023-03-04 07:59:01,115 - mmseg - INFO - Iter [114650/160000] lr: 4.687e-06, eta: 2:40:58, time: 0.168, data_time: 0.008, memory: 52541, decode.loss_ce: 0.0404, decode.acc_seg: 98.1893, loss: 0.0404 +2023-03-04 07:59:09,316 - mmseg - INFO - Iter [114700/160000] lr: 4.687e-06, eta: 2:40:47, time: 0.164, data_time: 0.007, memory: 52541, decode.loss_ce: 0.0424, decode.acc_seg: 98.1365, loss: 0.0424 +2023-03-04 07:59:17,473 - mmseg - INFO - Iter [114750/160000] lr: 4.687e-06, eta: 2:40:35, time: 0.163, data_time: 0.008, memory: 52541, decode.loss_ce: 0.0422, decode.acc_seg: 98.1688, loss: 0.0422 +2023-03-04 07:59:26,101 - mmseg - INFO - Iter [114800/160000] lr: 4.687e-06, eta: 2:40:24, time: 0.173, data_time: 0.007, memory: 52541, decode.loss_ce: 0.0410, decode.acc_seg: 98.1784, loss: 0.0410 +2023-03-04 07:59:37,003 - mmseg - INFO - Iter [114850/160000] lr: 4.687e-06, eta: 2:40:13, time: 0.218, data_time: 0.053, memory: 52541, decode.loss_ce: 0.0417, decode.acc_seg: 98.1619, loss: 0.0417 +2023-03-04 07:59:45,948 - mmseg - INFO - Iter [114900/160000] lr: 4.687e-06, eta: 2:40:02, time: 0.179, data_time: 0.007, memory: 52541, decode.loss_ce: 0.0404, decode.acc_seg: 98.2077, loss: 0.0404 +2023-03-04 07:59:54,532 - mmseg - INFO - Iter [114950/160000] lr: 4.687e-06, eta: 2:39:50, time: 0.172, data_time: 0.008, memory: 52541, decode.loss_ce: 0.0398, decode.acc_seg: 98.2737, loss: 0.0398 +2023-03-04 08:00:02,862 - mmseg - INFO - Exp name: ablation_segformer_mit_b2_segformer_head_unet_fc_small_multi_step_ade_pretrained_freeze_embed_160k_ade20k151_finetune_ema_wgt.py +2023-03-04 08:00:02,862 - mmseg - INFO - Iter [115000/160000] lr: 4.687e-06, eta: 2:39:39, time: 0.167, data_time: 0.007, memory: 52541, decode.loss_ce: 0.0419, decode.acc_seg: 98.1721, loss: 0.0419 +2023-03-04 08:00:11,102 - mmseg - INFO - Iter [115050/160000] lr: 4.687e-06, eta: 2:39:27, time: 0.165, data_time: 0.007, memory: 52541, decode.loss_ce: 0.0450, decode.acc_seg: 98.0592, loss: 0.0450 +2023-03-04 08:00:19,305 - mmseg - INFO - Iter [115100/160000] lr: 4.687e-06, eta: 2:39:16, time: 0.164, data_time: 0.007, memory: 52541, decode.loss_ce: 0.0419, decode.acc_seg: 98.1771, loss: 0.0419 +2023-03-04 08:00:28,048 - mmseg - INFO - Iter [115150/160000] lr: 4.687e-06, eta: 2:39:04, time: 0.175, data_time: 0.007, memory: 52541, decode.loss_ce: 0.0404, decode.acc_seg: 98.2206, loss: 0.0404 +2023-03-04 08:00:36,365 - mmseg - INFO - Iter [115200/160000] lr: 4.687e-06, eta: 2:38:53, time: 0.167, data_time: 0.008, memory: 52541, decode.loss_ce: 0.0422, decode.acc_seg: 98.1427, loss: 0.0422 +2023-03-04 08:00:44,506 - mmseg - INFO - Iter [115250/160000] lr: 4.687e-06, eta: 2:38:41, time: 0.163, data_time: 0.008, memory: 52541, decode.loss_ce: 0.0416, decode.acc_seg: 98.1913, loss: 0.0416 +2023-03-04 08:00:53,367 - mmseg - INFO - Iter [115300/160000] lr: 4.687e-06, eta: 2:38:30, time: 0.177, data_time: 0.007, memory: 52541, decode.loss_ce: 0.0431, decode.acc_seg: 98.1096, loss: 0.0431 +2023-03-04 08:01:01,986 - mmseg - INFO - Iter [115350/160000] lr: 4.687e-06, eta: 2:38:18, time: 0.173, data_time: 0.007, memory: 52541, decode.loss_ce: 0.0446, decode.acc_seg: 98.1082, loss: 0.0446 +2023-03-04 08:01:10,527 - mmseg - INFO - Iter [115400/160000] lr: 4.687e-06, eta: 2:38:07, time: 0.171, data_time: 0.008, memory: 52541, decode.loss_ce: 0.0435, decode.acc_seg: 98.1246, loss: 0.0435 +2023-03-04 08:01:18,650 - mmseg - INFO - Iter [115450/160000] lr: 4.687e-06, eta: 2:37:55, time: 0.162, data_time: 0.007, memory: 52541, decode.loss_ce: 0.0443, decode.acc_seg: 98.0840, loss: 0.0443 +2023-03-04 08:01:29,387 - mmseg - INFO - Iter [115500/160000] lr: 4.687e-06, eta: 2:37:45, time: 0.215, data_time: 0.053, memory: 52541, decode.loss_ce: 0.0420, decode.acc_seg: 98.1536, loss: 0.0420 +2023-03-04 08:01:37,472 - mmseg - INFO - Iter [115550/160000] lr: 4.687e-06, eta: 2:37:33, time: 0.162, data_time: 0.007, memory: 52541, decode.loss_ce: 0.0430, decode.acc_seg: 98.0986, loss: 0.0430 +2023-03-04 08:01:45,646 - mmseg - INFO - Iter [115600/160000] lr: 4.687e-06, eta: 2:37:22, time: 0.163, data_time: 0.008, memory: 52541, decode.loss_ce: 0.0427, decode.acc_seg: 98.1176, loss: 0.0427 +2023-03-04 08:01:54,155 - mmseg - INFO - Iter [115650/160000] lr: 4.687e-06, eta: 2:37:10, time: 0.170, data_time: 0.007, memory: 52541, decode.loss_ce: 0.0458, decode.acc_seg: 98.0200, loss: 0.0458 +2023-03-04 08:02:02,562 - mmseg - INFO - Iter [115700/160000] lr: 4.687e-06, eta: 2:36:59, time: 0.168, data_time: 0.007, memory: 52541, decode.loss_ce: 0.0422, decode.acc_seg: 98.1354, loss: 0.0422 +2023-03-04 08:02:11,201 - mmseg - INFO - Iter [115750/160000] lr: 4.687e-06, eta: 2:36:47, time: 0.173, data_time: 0.008, memory: 52541, decode.loss_ce: 0.0449, decode.acc_seg: 98.0494, loss: 0.0449 +2023-03-04 08:02:19,660 - mmseg - INFO - Iter [115800/160000] lr: 4.687e-06, eta: 2:36:36, time: 0.169, data_time: 0.007, memory: 52541, decode.loss_ce: 0.0451, decode.acc_seg: 98.0659, loss: 0.0451 +2023-03-04 08:02:28,329 - mmseg - INFO - Iter [115850/160000] lr: 4.687e-06, eta: 2:36:24, time: 0.173, data_time: 0.008, memory: 52541, decode.loss_ce: 0.0431, decode.acc_seg: 98.1266, loss: 0.0431 +2023-03-04 08:02:37,117 - mmseg - INFO - Iter [115900/160000] lr: 4.687e-06, eta: 2:36:13, time: 0.176, data_time: 0.007, memory: 52541, decode.loss_ce: 0.0429, decode.acc_seg: 98.1150, loss: 0.0429 +2023-03-04 08:02:45,993 - mmseg - INFO - Iter [115950/160000] lr: 4.687e-06, eta: 2:36:02, time: 0.178, data_time: 0.009, memory: 52541, decode.loss_ce: 0.0429, decode.acc_seg: 98.1468, loss: 0.0429 +2023-03-04 08:02:54,516 - mmseg - INFO - Exp name: ablation_segformer_mit_b2_segformer_head_unet_fc_small_multi_step_ade_pretrained_freeze_embed_160k_ade20k151_finetune_ema_wgt.py +2023-03-04 08:02:54,516 - mmseg - INFO - Iter [116000/160000] lr: 4.687e-06, eta: 2:35:50, time: 0.170, data_time: 0.007, memory: 52541, decode.loss_ce: 0.0426, decode.acc_seg: 98.1707, loss: 0.0426 +2023-03-04 08:03:03,000 - mmseg - INFO - Iter [116050/160000] lr: 4.687e-06, eta: 2:35:39, time: 0.170, data_time: 0.007, memory: 52541, decode.loss_ce: 0.0411, decode.acc_seg: 98.2060, loss: 0.0411 +2023-03-04 08:03:11,127 - mmseg - INFO - Iter [116100/160000] lr: 4.687e-06, eta: 2:35:27, time: 0.163, data_time: 0.007, memory: 52541, decode.loss_ce: 0.0421, decode.acc_seg: 98.1600, loss: 0.0421 +2023-03-04 08:03:21,839 - mmseg - INFO - Iter [116150/160000] lr: 4.687e-06, eta: 2:35:17, time: 0.214, data_time: 0.058, memory: 52541, decode.loss_ce: 0.0410, decode.acc_seg: 98.2196, loss: 0.0410 +2023-03-04 08:03:29,948 - mmseg - INFO - Iter [116200/160000] lr: 4.687e-06, eta: 2:35:05, time: 0.162, data_time: 0.007, memory: 52541, decode.loss_ce: 0.0450, decode.acc_seg: 98.0443, loss: 0.0450 +2023-03-04 08:03:38,755 - mmseg - INFO - Iter [116250/160000] lr: 4.687e-06, eta: 2:34:54, time: 0.176, data_time: 0.007, memory: 52541, decode.loss_ce: 0.0440, decode.acc_seg: 98.1221, loss: 0.0440 +2023-03-04 08:03:47,516 - mmseg - INFO - Iter [116300/160000] lr: 4.687e-06, eta: 2:34:43, time: 0.175, data_time: 0.007, memory: 52541, decode.loss_ce: 0.0428, decode.acc_seg: 98.1217, loss: 0.0428 +2023-03-04 08:03:55,580 - mmseg - INFO - Iter [116350/160000] lr: 4.687e-06, eta: 2:34:31, time: 0.162, data_time: 0.008, memory: 52541, decode.loss_ce: 0.0437, decode.acc_seg: 98.0657, loss: 0.0437 +2023-03-04 08:04:03,914 - mmseg - INFO - Iter [116400/160000] lr: 4.687e-06, eta: 2:34:20, time: 0.167, data_time: 0.007, memory: 52541, decode.loss_ce: 0.0428, decode.acc_seg: 98.1615, loss: 0.0428 +2023-03-04 08:04:12,308 - mmseg - INFO - Iter [116450/160000] lr: 4.687e-06, eta: 2:34:08, time: 0.168, data_time: 0.008, memory: 52541, decode.loss_ce: 0.0419, decode.acc_seg: 98.1252, loss: 0.0419 +2023-03-04 08:04:20,989 - mmseg - INFO - Iter [116500/160000] lr: 4.687e-06, eta: 2:33:57, time: 0.174, data_time: 0.007, memory: 52541, decode.loss_ce: 0.0428, decode.acc_seg: 98.1117, loss: 0.0428 +2023-03-04 08:04:29,599 - mmseg - INFO - Iter [116550/160000] lr: 4.687e-06, eta: 2:33:45, time: 0.172, data_time: 0.007, memory: 52541, decode.loss_ce: 0.0415, decode.acc_seg: 98.1891, loss: 0.0415 +2023-03-04 08:04:38,160 - mmseg - INFO - Iter [116600/160000] lr: 4.687e-06, eta: 2:33:34, time: 0.171, data_time: 0.007, memory: 52541, decode.loss_ce: 0.0411, decode.acc_seg: 98.1851, loss: 0.0411 +2023-03-04 08:04:46,554 - mmseg - INFO - Iter [116650/160000] lr: 4.687e-06, eta: 2:33:23, time: 0.168, data_time: 0.007, memory: 52541, decode.loss_ce: 0.0453, decode.acc_seg: 98.0669, loss: 0.0453 +2023-03-04 08:04:54,738 - mmseg - INFO - Iter [116700/160000] lr: 4.687e-06, eta: 2:33:11, time: 0.164, data_time: 0.008, memory: 52541, decode.loss_ce: 0.0421, decode.acc_seg: 98.1341, loss: 0.0421 +2023-03-04 08:05:05,445 - mmseg - INFO - Iter [116750/160000] lr: 4.687e-06, eta: 2:33:00, time: 0.214, data_time: 0.054, memory: 52541, decode.loss_ce: 0.0400, decode.acc_seg: 98.2264, loss: 0.0400 +2023-03-04 08:05:13,740 - mmseg - INFO - Iter [116800/160000] lr: 4.687e-06, eta: 2:32:49, time: 0.166, data_time: 0.008, memory: 52541, decode.loss_ce: 0.0430, decode.acc_seg: 98.1131, loss: 0.0430 +2023-03-04 08:05:22,169 - mmseg - INFO - Iter [116850/160000] lr: 4.687e-06, eta: 2:32:38, time: 0.169, data_time: 0.007, memory: 52541, decode.loss_ce: 0.0434, decode.acc_seg: 98.1033, loss: 0.0434 +2023-03-04 08:05:30,678 - mmseg - INFO - Iter [116900/160000] lr: 4.687e-06, eta: 2:32:26, time: 0.170, data_time: 0.007, memory: 52541, decode.loss_ce: 0.0425, decode.acc_seg: 98.1037, loss: 0.0425 +2023-03-04 08:05:39,121 - mmseg - INFO - Iter [116950/160000] lr: 4.687e-06, eta: 2:32:15, time: 0.169, data_time: 0.007, memory: 52541, decode.loss_ce: 0.0406, decode.acc_seg: 98.2015, loss: 0.0406 +2023-03-04 08:05:47,232 - mmseg - INFO - Exp name: ablation_segformer_mit_b2_segformer_head_unet_fc_small_multi_step_ade_pretrained_freeze_embed_160k_ade20k151_finetune_ema_wgt.py +2023-03-04 08:05:47,232 - mmseg - INFO - Iter [117000/160000] lr: 4.687e-06, eta: 2:32:03, time: 0.162, data_time: 0.008, memory: 52541, decode.loss_ce: 0.0408, decode.acc_seg: 98.2126, loss: 0.0408 +2023-03-04 08:05:55,809 - mmseg - INFO - Iter [117050/160000] lr: 4.687e-06, eta: 2:31:52, time: 0.172, data_time: 0.007, memory: 52541, decode.loss_ce: 0.0435, decode.acc_seg: 98.0766, loss: 0.0435 +2023-03-04 08:06:03,932 - mmseg - INFO - Iter [117100/160000] lr: 4.687e-06, eta: 2:31:40, time: 0.162, data_time: 0.007, memory: 52541, decode.loss_ce: 0.0436, decode.acc_seg: 98.0690, loss: 0.0436 +2023-03-04 08:06:12,330 - mmseg - INFO - Iter [117150/160000] lr: 4.687e-06, eta: 2:31:29, time: 0.168, data_time: 0.007, memory: 52541, decode.loss_ce: 0.0411, decode.acc_seg: 98.2070, loss: 0.0411 +2023-03-04 08:06:20,614 - mmseg - INFO - Iter [117200/160000] lr: 4.687e-06, eta: 2:31:18, time: 0.166, data_time: 0.007, memory: 52541, decode.loss_ce: 0.0424, decode.acc_seg: 98.1656, loss: 0.0424 +2023-03-04 08:06:28,704 - mmseg - INFO - Iter [117250/160000] lr: 4.687e-06, eta: 2:31:06, time: 0.162, data_time: 0.007, memory: 52541, decode.loss_ce: 0.0438, decode.acc_seg: 98.1016, loss: 0.0438 +2023-03-04 08:06:37,079 - mmseg - INFO - Iter [117300/160000] lr: 4.687e-06, eta: 2:30:55, time: 0.168, data_time: 0.007, memory: 52541, decode.loss_ce: 0.0398, decode.acc_seg: 98.2606, loss: 0.0398 +2023-03-04 08:06:45,110 - mmseg - INFO - Iter [117350/160000] lr: 4.687e-06, eta: 2:30:43, time: 0.161, data_time: 0.007, memory: 52541, decode.loss_ce: 0.0423, decode.acc_seg: 98.1674, loss: 0.0423 +2023-03-04 08:06:56,096 - mmseg - INFO - Iter [117400/160000] lr: 4.687e-06, eta: 2:30:33, time: 0.220, data_time: 0.053, memory: 52541, decode.loss_ce: 0.0417, decode.acc_seg: 98.1806, loss: 0.0417 +2023-03-04 08:07:04,788 - mmseg - INFO - Iter [117450/160000] lr: 4.687e-06, eta: 2:30:21, time: 0.174, data_time: 0.007, memory: 52541, decode.loss_ce: 0.0443, decode.acc_seg: 98.0824, loss: 0.0443 +2023-03-04 08:07:13,152 - mmseg - INFO - Iter [117500/160000] lr: 4.687e-06, eta: 2:30:10, time: 0.167, data_time: 0.007, memory: 52541, decode.loss_ce: 0.0431, decode.acc_seg: 98.0982, loss: 0.0431 +2023-03-04 08:07:21,539 - mmseg - INFO - Iter [117550/160000] lr: 4.687e-06, eta: 2:29:58, time: 0.168, data_time: 0.008, memory: 52541, decode.loss_ce: 0.0451, decode.acc_seg: 98.0517, loss: 0.0451 +2023-03-04 08:07:29,592 - mmseg - INFO - Iter [117600/160000] lr: 4.687e-06, eta: 2:29:47, time: 0.161, data_time: 0.007, memory: 52541, decode.loss_ce: 0.0414, decode.acc_seg: 98.2146, loss: 0.0414 +2023-03-04 08:07:38,052 - mmseg - INFO - Iter [117650/160000] lr: 4.687e-06, eta: 2:29:36, time: 0.169, data_time: 0.007, memory: 52541, decode.loss_ce: 0.0406, decode.acc_seg: 98.2200, loss: 0.0406 +2023-03-04 08:07:46,346 - mmseg - INFO - Iter [117700/160000] lr: 4.687e-06, eta: 2:29:24, time: 0.166, data_time: 0.008, memory: 52541, decode.loss_ce: 0.0424, decode.acc_seg: 98.1476, loss: 0.0424 +2023-03-04 08:07:54,944 - mmseg - INFO - Iter [117750/160000] lr: 4.687e-06, eta: 2:29:13, time: 0.172, data_time: 0.007, memory: 52541, decode.loss_ce: 0.0448, decode.acc_seg: 98.0374, loss: 0.0448 +2023-03-04 08:08:03,181 - mmseg - INFO - Iter [117800/160000] lr: 4.687e-06, eta: 2:29:01, time: 0.165, data_time: 0.008, memory: 52541, decode.loss_ce: 0.0424, decode.acc_seg: 98.1515, loss: 0.0424 +2023-03-04 08:08:11,957 - mmseg - INFO - Iter [117850/160000] lr: 4.687e-06, eta: 2:28:50, time: 0.176, data_time: 0.007, memory: 52541, decode.loss_ce: 0.0428, decode.acc_seg: 98.1159, loss: 0.0428 +2023-03-04 08:08:20,277 - mmseg - INFO - Iter [117900/160000] lr: 4.687e-06, eta: 2:28:39, time: 0.166, data_time: 0.008, memory: 52541, decode.loss_ce: 0.0422, decode.acc_seg: 98.1426, loss: 0.0422 +2023-03-04 08:08:28,319 - mmseg - INFO - Iter [117950/160000] lr: 4.687e-06, eta: 2:28:27, time: 0.161, data_time: 0.008, memory: 52541, decode.loss_ce: 0.0440, decode.acc_seg: 98.0581, loss: 0.0440 +2023-03-04 08:08:39,033 - mmseg - INFO - Exp name: ablation_segformer_mit_b2_segformer_head_unet_fc_small_multi_step_ade_pretrained_freeze_embed_160k_ade20k151_finetune_ema_wgt.py +2023-03-04 08:08:39,033 - mmseg - INFO - Iter [118000/160000] lr: 4.687e-06, eta: 2:28:17, time: 0.214, data_time: 0.057, memory: 52541, decode.loss_ce: 0.0420, decode.acc_seg: 98.1377, loss: 0.0420 +2023-03-04 08:08:47,605 - mmseg - INFO - Iter [118050/160000] lr: 4.687e-06, eta: 2:28:05, time: 0.171, data_time: 0.007, memory: 52541, decode.loss_ce: 0.0449, decode.acc_seg: 98.0714, loss: 0.0449 +2023-03-04 08:08:55,852 - mmseg - INFO - Iter [118100/160000] lr: 4.687e-06, eta: 2:27:54, time: 0.165, data_time: 0.008, memory: 52541, decode.loss_ce: 0.0436, decode.acc_seg: 98.1297, loss: 0.0436 +2023-03-04 08:09:04,825 - mmseg - INFO - Iter [118150/160000] lr: 4.687e-06, eta: 2:27:43, time: 0.179, data_time: 0.008, memory: 52541, decode.loss_ce: 0.0435, decode.acc_seg: 98.0999, loss: 0.0435 +2023-03-04 08:09:12,970 - mmseg - INFO - Iter [118200/160000] lr: 4.687e-06, eta: 2:27:31, time: 0.163, data_time: 0.008, memory: 52541, decode.loss_ce: 0.0421, decode.acc_seg: 98.1894, loss: 0.0421 +2023-03-04 08:09:21,515 - mmseg - INFO - Iter [118250/160000] lr: 4.687e-06, eta: 2:27:20, time: 0.171, data_time: 0.008, memory: 52541, decode.loss_ce: 0.0448, decode.acc_seg: 98.0445, loss: 0.0448 +2023-03-04 08:09:29,814 - mmseg - INFO - Iter [118300/160000] lr: 4.687e-06, eta: 2:27:09, time: 0.166, data_time: 0.008, memory: 52541, decode.loss_ce: 0.0443, decode.acc_seg: 98.0767, loss: 0.0443 +2023-03-04 08:09:38,378 - mmseg - INFO - Iter [118350/160000] lr: 4.687e-06, eta: 2:26:57, time: 0.171, data_time: 0.008, memory: 52541, decode.loss_ce: 0.0421, decode.acc_seg: 98.1064, loss: 0.0421 +2023-03-04 08:09:46,604 - mmseg - INFO - Iter [118400/160000] lr: 4.687e-06, eta: 2:26:46, time: 0.165, data_time: 0.007, memory: 52541, decode.loss_ce: 0.0428, decode.acc_seg: 98.1402, loss: 0.0428 +2023-03-04 08:09:54,730 - mmseg - INFO - Iter [118450/160000] lr: 4.687e-06, eta: 2:26:34, time: 0.163, data_time: 0.007, memory: 52541, decode.loss_ce: 0.0414, decode.acc_seg: 98.1624, loss: 0.0414 +2023-03-04 08:10:03,028 - mmseg - INFO - Iter [118500/160000] lr: 4.687e-06, eta: 2:26:23, time: 0.166, data_time: 0.008, memory: 52541, decode.loss_ce: 0.0438, decode.acc_seg: 98.0634, loss: 0.0438 +2023-03-04 08:10:11,493 - mmseg - INFO - Iter [118550/160000] lr: 4.687e-06, eta: 2:26:12, time: 0.169, data_time: 0.007, memory: 52541, decode.loss_ce: 0.0400, decode.acc_seg: 98.2134, loss: 0.0400 +2023-03-04 08:10:19,895 - mmseg - INFO - Iter [118600/160000] lr: 4.687e-06, eta: 2:26:00, time: 0.168, data_time: 0.007, memory: 52541, decode.loss_ce: 0.0405, decode.acc_seg: 98.2047, loss: 0.0405 +2023-03-04 08:10:30,823 - mmseg - INFO - Iter [118650/160000] lr: 4.687e-06, eta: 2:25:50, time: 0.218, data_time: 0.058, memory: 52541, decode.loss_ce: 0.0408, decode.acc_seg: 98.1498, loss: 0.0408 +2023-03-04 08:10:39,280 - mmseg - INFO - Iter [118700/160000] lr: 4.687e-06, eta: 2:25:39, time: 0.169, data_time: 0.007, memory: 52541, decode.loss_ce: 0.0423, decode.acc_seg: 98.1668, loss: 0.0423 +2023-03-04 08:10:47,541 - mmseg - INFO - Iter [118750/160000] lr: 4.687e-06, eta: 2:25:27, time: 0.165, data_time: 0.008, memory: 52541, decode.loss_ce: 0.0435, decode.acc_seg: 98.1255, loss: 0.0435 +2023-03-04 08:10:55,672 - mmseg - INFO - Iter [118800/160000] lr: 4.687e-06, eta: 2:25:16, time: 0.163, data_time: 0.008, memory: 52541, decode.loss_ce: 0.0420, decode.acc_seg: 98.2048, loss: 0.0420 +2023-03-04 08:11:03,828 - mmseg - INFO - Iter [118850/160000] lr: 4.687e-06, eta: 2:25:04, time: 0.163, data_time: 0.007, memory: 52541, decode.loss_ce: 0.0426, decode.acc_seg: 98.1357, loss: 0.0426 +2023-03-04 08:11:12,154 - mmseg - INFO - Iter [118900/160000] lr: 4.687e-06, eta: 2:24:53, time: 0.166, data_time: 0.007, memory: 52541, decode.loss_ce: 0.0418, decode.acc_seg: 98.1872, loss: 0.0418 +2023-03-04 08:11:20,437 - mmseg - INFO - Iter [118950/160000] lr: 4.687e-06, eta: 2:24:42, time: 0.165, data_time: 0.007, memory: 52541, decode.loss_ce: 0.0435, decode.acc_seg: 98.0977, loss: 0.0435 +2023-03-04 08:11:28,849 - mmseg - INFO - Exp name: ablation_segformer_mit_b2_segformer_head_unet_fc_small_multi_step_ade_pretrained_freeze_embed_160k_ade20k151_finetune_ema_wgt.py +2023-03-04 08:11:28,849 - mmseg - INFO - Iter [119000/160000] lr: 4.687e-06, eta: 2:24:30, time: 0.168, data_time: 0.007, memory: 52541, decode.loss_ce: 0.0456, decode.acc_seg: 98.0278, loss: 0.0456 +2023-03-04 08:11:37,265 - mmseg - INFO - Iter [119050/160000] lr: 4.687e-06, eta: 2:24:19, time: 0.169, data_time: 0.007, memory: 52541, decode.loss_ce: 0.0419, decode.acc_seg: 98.1452, loss: 0.0419 +2023-03-04 08:11:45,432 - mmseg - INFO - Iter [119100/160000] lr: 4.687e-06, eta: 2:24:08, time: 0.163, data_time: 0.007, memory: 52541, decode.loss_ce: 0.0409, decode.acc_seg: 98.1830, loss: 0.0409 +2023-03-04 08:11:53,688 - mmseg - INFO - Iter [119150/160000] lr: 4.687e-06, eta: 2:23:56, time: 0.165, data_time: 0.007, memory: 52541, decode.loss_ce: 0.0416, decode.acc_seg: 98.1750, loss: 0.0416 +2023-03-04 08:12:02,291 - mmseg - INFO - Iter [119200/160000] lr: 4.687e-06, eta: 2:23:45, time: 0.172, data_time: 0.007, memory: 52541, decode.loss_ce: 0.0423, decode.acc_seg: 98.1652, loss: 0.0423 +2023-03-04 08:12:10,599 - mmseg - INFO - Iter [119250/160000] lr: 4.687e-06, eta: 2:23:34, time: 0.166, data_time: 0.008, memory: 52541, decode.loss_ce: 0.0425, decode.acc_seg: 98.1427, loss: 0.0425 +2023-03-04 08:12:21,460 - mmseg - INFO - Iter [119300/160000] lr: 4.687e-06, eta: 2:23:23, time: 0.217, data_time: 0.056, memory: 52541, decode.loss_ce: 0.0422, decode.acc_seg: 98.1465, loss: 0.0422 +2023-03-04 08:12:29,837 - mmseg - INFO - Iter [119350/160000] lr: 4.687e-06, eta: 2:23:12, time: 0.168, data_time: 0.007, memory: 52541, decode.loss_ce: 0.0410, decode.acc_seg: 98.1886, loss: 0.0410 +2023-03-04 08:12:38,002 - mmseg - INFO - Iter [119400/160000] lr: 4.687e-06, eta: 2:23:01, time: 0.163, data_time: 0.007, memory: 52541, decode.loss_ce: 0.0417, decode.acc_seg: 98.1623, loss: 0.0417 +2023-03-04 08:12:46,203 - mmseg - INFO - Iter [119450/160000] lr: 4.687e-06, eta: 2:22:49, time: 0.164, data_time: 0.007, memory: 52541, decode.loss_ce: 0.0407, decode.acc_seg: 98.1946, loss: 0.0407 +2023-03-04 08:12:54,345 - mmseg - INFO - Iter [119500/160000] lr: 4.687e-06, eta: 2:22:38, time: 0.163, data_time: 0.008, memory: 52541, decode.loss_ce: 0.0440, decode.acc_seg: 98.0765, loss: 0.0440 +2023-03-04 08:13:02,841 - mmseg - INFO - Iter [119550/160000] lr: 4.687e-06, eta: 2:22:27, time: 0.170, data_time: 0.007, memory: 52541, decode.loss_ce: 0.0424, decode.acc_seg: 98.1630, loss: 0.0424 +2023-03-04 08:13:11,153 - mmseg - INFO - Iter [119600/160000] lr: 4.687e-06, eta: 2:22:15, time: 0.166, data_time: 0.007, memory: 52541, decode.loss_ce: 0.0399, decode.acc_seg: 98.2180, loss: 0.0399 +2023-03-04 08:13:19,477 - mmseg - INFO - Iter [119650/160000] lr: 4.687e-06, eta: 2:22:04, time: 0.166, data_time: 0.008, memory: 52541, decode.loss_ce: 0.0422, decode.acc_seg: 98.1519, loss: 0.0422 +2023-03-04 08:13:27,865 - mmseg - INFO - Iter [119700/160000] lr: 4.687e-06, eta: 2:21:53, time: 0.168, data_time: 0.008, memory: 52541, decode.loss_ce: 0.0417, decode.acc_seg: 98.1837, loss: 0.0417 +2023-03-04 08:13:36,045 - mmseg - INFO - Iter [119750/160000] lr: 4.687e-06, eta: 2:21:41, time: 0.164, data_time: 0.008, memory: 52541, decode.loss_ce: 0.0407, decode.acc_seg: 98.1963, loss: 0.0407 +2023-03-04 08:13:44,747 - mmseg - INFO - Iter [119800/160000] lr: 4.687e-06, eta: 2:21:30, time: 0.174, data_time: 0.007, memory: 52541, decode.loss_ce: 0.0424, decode.acc_seg: 98.1536, loss: 0.0424 +2023-03-04 08:13:53,406 - mmseg - INFO - Iter [119850/160000] lr: 4.687e-06, eta: 2:21:19, time: 0.173, data_time: 0.008, memory: 52541, decode.loss_ce: 0.0406, decode.acc_seg: 98.2301, loss: 0.0406 +2023-03-04 08:14:04,271 - mmseg - INFO - Iter [119900/160000] lr: 4.687e-06, eta: 2:21:08, time: 0.217, data_time: 0.054, memory: 52541, decode.loss_ce: 0.0428, decode.acc_seg: 98.1310, loss: 0.0428 +2023-03-04 08:14:12,542 - mmseg - INFO - Iter [119950/160000] lr: 4.687e-06, eta: 2:20:57, time: 0.165, data_time: 0.007, memory: 52541, decode.loss_ce: 0.0408, decode.acc_seg: 98.2272, loss: 0.0408 +2023-03-04 08:14:20,874 - mmseg - INFO - Exp name: ablation_segformer_mit_b2_segformer_head_unet_fc_small_multi_step_ade_pretrained_freeze_embed_160k_ade20k151_finetune_ema_wgt.py +2023-03-04 08:14:20,875 - mmseg - INFO - Iter [120000/160000] lr: 4.687e-06, eta: 2:20:46, time: 0.167, data_time: 0.008, memory: 52541, decode.loss_ce: 0.0404, decode.acc_seg: 98.2360, loss: 0.0404 +2023-03-04 08:14:29,302 - mmseg - INFO - Iter [120050/160000] lr: 2.344e-06, eta: 2:20:34, time: 0.169, data_time: 0.007, memory: 52541, decode.loss_ce: 0.0437, decode.acc_seg: 98.0876, loss: 0.0437 +2023-03-04 08:14:38,018 - mmseg - INFO - Iter [120100/160000] lr: 2.344e-06, eta: 2:20:23, time: 0.174, data_time: 0.007, memory: 52541, decode.loss_ce: 0.0422, decode.acc_seg: 98.1723, loss: 0.0422 +2023-03-04 08:14:46,934 - mmseg - INFO - Iter [120150/160000] lr: 2.344e-06, eta: 2:20:12, time: 0.178, data_time: 0.008, memory: 52541, decode.loss_ce: 0.0416, decode.acc_seg: 98.1780, loss: 0.0416 +2023-03-04 08:14:55,429 - mmseg - INFO - Iter [120200/160000] lr: 2.344e-06, eta: 2:20:01, time: 0.170, data_time: 0.007, memory: 52541, decode.loss_ce: 0.0422, decode.acc_seg: 98.1668, loss: 0.0422 +2023-03-04 08:15:03,683 - mmseg - INFO - Iter [120250/160000] lr: 2.344e-06, eta: 2:19:50, time: 0.165, data_time: 0.007, memory: 52541, decode.loss_ce: 0.0423, decode.acc_seg: 98.1398, loss: 0.0423 +2023-03-04 08:15:12,522 - mmseg - INFO - Iter [120300/160000] lr: 2.344e-06, eta: 2:19:39, time: 0.177, data_time: 0.008, memory: 52541, decode.loss_ce: 0.0424, decode.acc_seg: 98.1823, loss: 0.0424 +2023-03-04 08:15:21,137 - mmseg - INFO - Iter [120350/160000] lr: 2.344e-06, eta: 2:19:27, time: 0.173, data_time: 0.008, memory: 52541, decode.loss_ce: 0.0440, decode.acc_seg: 98.0648, loss: 0.0440 +2023-03-04 08:15:29,898 - mmseg - INFO - Iter [120400/160000] lr: 2.344e-06, eta: 2:19:16, time: 0.175, data_time: 0.008, memory: 52541, decode.loss_ce: 0.0421, decode.acc_seg: 98.1436, loss: 0.0421 +2023-03-04 08:15:38,349 - mmseg - INFO - Iter [120450/160000] lr: 2.344e-06, eta: 2:19:05, time: 0.169, data_time: 0.007, memory: 52541, decode.loss_ce: 0.0402, decode.acc_seg: 98.2550, loss: 0.0402 +2023-03-04 08:15:46,444 - mmseg - INFO - Iter [120500/160000] lr: 2.344e-06, eta: 2:18:54, time: 0.162, data_time: 0.007, memory: 52541, decode.loss_ce: 0.0415, decode.acc_seg: 98.1616, loss: 0.0415 +2023-03-04 08:15:57,648 - mmseg - INFO - Iter [120550/160000] lr: 2.344e-06, eta: 2:18:43, time: 0.224, data_time: 0.057, memory: 52541, decode.loss_ce: 0.0393, decode.acc_seg: 98.2935, loss: 0.0393 +2023-03-04 08:16:05,855 - mmseg - INFO - Iter [120600/160000] lr: 2.344e-06, eta: 2:18:32, time: 0.164, data_time: 0.007, memory: 52541, decode.loss_ce: 0.0421, decode.acc_seg: 98.1659, loss: 0.0421 +2023-03-04 08:16:14,350 - mmseg - INFO - Iter [120650/160000] lr: 2.344e-06, eta: 2:18:21, time: 0.170, data_time: 0.007, memory: 52541, decode.loss_ce: 0.0414, decode.acc_seg: 98.1774, loss: 0.0414 +2023-03-04 08:16:22,892 - mmseg - INFO - Iter [120700/160000] lr: 2.344e-06, eta: 2:18:10, time: 0.171, data_time: 0.007, memory: 52541, decode.loss_ce: 0.0445, decode.acc_seg: 98.0821, loss: 0.0445 +2023-03-04 08:16:31,099 - mmseg - INFO - Iter [120750/160000] lr: 2.344e-06, eta: 2:17:58, time: 0.164, data_time: 0.007, memory: 52541, decode.loss_ce: 0.0417, decode.acc_seg: 98.1736, loss: 0.0417 +2023-03-04 08:16:39,283 - mmseg - INFO - Iter [120800/160000] lr: 2.344e-06, eta: 2:17:47, time: 0.163, data_time: 0.007, memory: 52541, decode.loss_ce: 0.0421, decode.acc_seg: 98.1553, loss: 0.0421 +2023-03-04 08:16:48,108 - mmseg - INFO - Iter [120850/160000] lr: 2.344e-06, eta: 2:17:36, time: 0.176, data_time: 0.008, memory: 52541, decode.loss_ce: 0.0397, decode.acc_seg: 98.2661, loss: 0.0397 +2023-03-04 08:16:56,481 - mmseg - INFO - Iter [120900/160000] lr: 2.344e-06, eta: 2:17:25, time: 0.168, data_time: 0.007, memory: 52541, decode.loss_ce: 0.0426, decode.acc_seg: 98.1261, loss: 0.0426 +2023-03-04 08:17:04,540 - mmseg - INFO - Iter [120950/160000] lr: 2.344e-06, eta: 2:17:13, time: 0.161, data_time: 0.007, memory: 52541, decode.loss_ce: 0.0418, decode.acc_seg: 98.1345, loss: 0.0418 +2023-03-04 08:17:12,802 - mmseg - INFO - Exp name: ablation_segformer_mit_b2_segformer_head_unet_fc_small_multi_step_ade_pretrained_freeze_embed_160k_ade20k151_finetune_ema_wgt.py +2023-03-04 08:17:12,803 - mmseg - INFO - Iter [121000/160000] lr: 2.344e-06, eta: 2:17:02, time: 0.165, data_time: 0.007, memory: 52541, decode.loss_ce: 0.0415, decode.acc_seg: 98.1745, loss: 0.0415 +2023-03-04 08:17:20,948 - mmseg - INFO - Iter [121050/160000] lr: 2.344e-06, eta: 2:16:51, time: 0.163, data_time: 0.007, memory: 52541, decode.loss_ce: 0.0419, decode.acc_seg: 98.1485, loss: 0.0419 +2023-03-04 08:17:29,800 - mmseg - INFO - Iter [121100/160000] lr: 2.344e-06, eta: 2:16:40, time: 0.177, data_time: 0.007, memory: 52541, decode.loss_ce: 0.0437, decode.acc_seg: 98.1166, loss: 0.0437 +2023-03-04 08:17:38,241 - mmseg - INFO - Iter [121150/160000] lr: 2.344e-06, eta: 2:16:28, time: 0.169, data_time: 0.008, memory: 52541, decode.loss_ce: 0.0432, decode.acc_seg: 98.1198, loss: 0.0432 +2023-03-04 08:17:49,500 - mmseg - INFO - Iter [121200/160000] lr: 2.344e-06, eta: 2:16:18, time: 0.225, data_time: 0.055, memory: 52541, decode.loss_ce: 0.0407, decode.acc_seg: 98.2000, loss: 0.0407 +2023-03-04 08:17:57,983 - mmseg - INFO - Iter [121250/160000] lr: 2.344e-06, eta: 2:16:07, time: 0.169, data_time: 0.007, memory: 52541, decode.loss_ce: 0.0412, decode.acc_seg: 98.2101, loss: 0.0412 +2023-03-04 08:18:06,682 - mmseg - INFO - Iter [121300/160000] lr: 2.344e-06, eta: 2:15:56, time: 0.174, data_time: 0.007, memory: 52541, decode.loss_ce: 0.0445, decode.acc_seg: 98.0594, loss: 0.0445 +2023-03-04 08:18:15,066 - mmseg - INFO - Iter [121350/160000] lr: 2.344e-06, eta: 2:15:44, time: 0.168, data_time: 0.008, memory: 52541, decode.loss_ce: 0.0453, decode.acc_seg: 98.0500, loss: 0.0453 +2023-03-04 08:18:23,144 - mmseg - INFO - Iter [121400/160000] lr: 2.344e-06, eta: 2:15:33, time: 0.162, data_time: 0.008, memory: 52541, decode.loss_ce: 0.0453, decode.acc_seg: 98.0434, loss: 0.0453 +2023-03-04 08:18:31,830 - mmseg - INFO - Iter [121450/160000] lr: 2.344e-06, eta: 2:15:22, time: 0.174, data_time: 0.008, memory: 52541, decode.loss_ce: 0.0448, decode.acc_seg: 98.0592, loss: 0.0448 +2023-03-04 08:18:40,142 - mmseg - INFO - Iter [121500/160000] lr: 2.344e-06, eta: 2:15:11, time: 0.166, data_time: 0.007, memory: 52541, decode.loss_ce: 0.0404, decode.acc_seg: 98.2116, loss: 0.0404 +2023-03-04 08:18:48,462 - mmseg - INFO - Iter [121550/160000] lr: 2.344e-06, eta: 2:15:00, time: 0.167, data_time: 0.007, memory: 52541, decode.loss_ce: 0.0400, decode.acc_seg: 98.2396, loss: 0.0400 +2023-03-04 08:18:56,955 - mmseg - INFO - Iter [121600/160000] lr: 2.344e-06, eta: 2:14:48, time: 0.170, data_time: 0.007, memory: 52541, decode.loss_ce: 0.0411, decode.acc_seg: 98.1907, loss: 0.0411 +2023-03-04 08:19:06,034 - mmseg - INFO - Iter [121650/160000] lr: 2.344e-06, eta: 2:14:37, time: 0.181, data_time: 0.007, memory: 52541, decode.loss_ce: 0.0397, decode.acc_seg: 98.2219, loss: 0.0397 +2023-03-04 08:19:14,376 - mmseg - INFO - Iter [121700/160000] lr: 2.344e-06, eta: 2:14:26, time: 0.167, data_time: 0.007, memory: 52541, decode.loss_ce: 0.0413, decode.acc_seg: 98.2071, loss: 0.0413 +2023-03-04 08:19:22,458 - mmseg - INFO - Iter [121750/160000] lr: 2.344e-06, eta: 2:14:15, time: 0.162, data_time: 0.008, memory: 52541, decode.loss_ce: 0.0429, decode.acc_seg: 98.1654, loss: 0.0429 +2023-03-04 08:19:33,330 - mmseg - INFO - Iter [121800/160000] lr: 2.344e-06, eta: 2:14:04, time: 0.217, data_time: 0.056, memory: 52541, decode.loss_ce: 0.0425, decode.acc_seg: 98.1493, loss: 0.0425 +2023-03-04 08:19:41,576 - mmseg - INFO - Iter [121850/160000] lr: 2.344e-06, eta: 2:13:53, time: 0.165, data_time: 0.007, memory: 52541, decode.loss_ce: 0.0410, decode.acc_seg: 98.2027, loss: 0.0410 +2023-03-04 08:19:49,921 - mmseg - INFO - Iter [121900/160000] lr: 2.344e-06, eta: 2:13:42, time: 0.167, data_time: 0.007, memory: 52541, decode.loss_ce: 0.0431, decode.acc_seg: 98.1154, loss: 0.0431 +2023-03-04 08:19:58,814 - mmseg - INFO - Iter [121950/160000] lr: 2.344e-06, eta: 2:13:31, time: 0.178, data_time: 0.007, memory: 52541, decode.loss_ce: 0.0417, decode.acc_seg: 98.1480, loss: 0.0417 +2023-03-04 08:20:07,003 - mmseg - INFO - Exp name: ablation_segformer_mit_b2_segformer_head_unet_fc_small_multi_step_ade_pretrained_freeze_embed_160k_ade20k151_finetune_ema_wgt.py +2023-03-04 08:20:07,003 - mmseg - INFO - Iter [122000/160000] lr: 2.344e-06, eta: 2:13:20, time: 0.164, data_time: 0.008, memory: 52541, decode.loss_ce: 0.0438, decode.acc_seg: 98.0727, loss: 0.0438 +2023-03-04 08:20:15,451 - mmseg - INFO - Iter [122050/160000] lr: 2.344e-06, eta: 2:13:09, time: 0.169, data_time: 0.008, memory: 52541, decode.loss_ce: 0.0403, decode.acc_seg: 98.2126, loss: 0.0403 +2023-03-04 08:20:24,060 - mmseg - INFO - Iter [122100/160000] lr: 2.344e-06, eta: 2:12:57, time: 0.172, data_time: 0.007, memory: 52541, decode.loss_ce: 0.0445, decode.acc_seg: 98.0813, loss: 0.0445 +2023-03-04 08:20:32,232 - mmseg - INFO - Iter [122150/160000] lr: 2.344e-06, eta: 2:12:46, time: 0.163, data_time: 0.007, memory: 52541, decode.loss_ce: 0.0444, decode.acc_seg: 98.0536, loss: 0.0444 +2023-03-04 08:20:40,480 - mmseg - INFO - Iter [122200/160000] lr: 2.344e-06, eta: 2:12:35, time: 0.165, data_time: 0.008, memory: 52541, decode.loss_ce: 0.0423, decode.acc_seg: 98.1729, loss: 0.0423 +2023-03-04 08:20:48,737 - mmseg - INFO - Iter [122250/160000] lr: 2.344e-06, eta: 2:12:24, time: 0.165, data_time: 0.008, memory: 52541, decode.loss_ce: 0.0438, decode.acc_seg: 98.1085, loss: 0.0438 +2023-03-04 08:20:56,859 - mmseg - INFO - Iter [122300/160000] lr: 2.344e-06, eta: 2:12:12, time: 0.162, data_time: 0.007, memory: 52541, decode.loss_ce: 0.0445, decode.acc_seg: 98.0513, loss: 0.0445 +2023-03-04 08:21:05,256 - mmseg - INFO - Iter [122350/160000] lr: 2.344e-06, eta: 2:12:01, time: 0.168, data_time: 0.007, memory: 52541, decode.loss_ce: 0.0441, decode.acc_seg: 98.0680, loss: 0.0441 +2023-03-04 08:21:13,475 - mmseg - INFO - Iter [122400/160000] lr: 2.344e-06, eta: 2:11:50, time: 0.164, data_time: 0.007, memory: 52541, decode.loss_ce: 0.0436, decode.acc_seg: 98.0919, loss: 0.0436 +2023-03-04 08:21:24,153 - mmseg - INFO - Iter [122450/160000] lr: 2.344e-06, eta: 2:11:40, time: 0.213, data_time: 0.058, memory: 52541, decode.loss_ce: 0.0428, decode.acc_seg: 98.1325, loss: 0.0428 +2023-03-04 08:21:32,873 - mmseg - INFO - Iter [122500/160000] lr: 2.344e-06, eta: 2:11:28, time: 0.175, data_time: 0.007, memory: 52541, decode.loss_ce: 0.0440, decode.acc_seg: 98.0785, loss: 0.0440 +2023-03-04 08:21:41,281 - mmseg - INFO - Iter [122550/160000] lr: 2.344e-06, eta: 2:11:17, time: 0.168, data_time: 0.008, memory: 52541, decode.loss_ce: 0.0413, decode.acc_seg: 98.1937, loss: 0.0413 +2023-03-04 08:21:49,583 - mmseg - INFO - Iter [122600/160000] lr: 2.344e-06, eta: 2:11:06, time: 0.166, data_time: 0.007, memory: 52541, decode.loss_ce: 0.0417, decode.acc_seg: 98.1595, loss: 0.0417 +2023-03-04 08:21:57,748 - mmseg - INFO - Iter [122650/160000] lr: 2.344e-06, eta: 2:10:55, time: 0.164, data_time: 0.007, memory: 52541, decode.loss_ce: 0.0434, decode.acc_seg: 98.0951, loss: 0.0434 +2023-03-04 08:22:05,934 - mmseg - INFO - Iter [122700/160000] lr: 2.344e-06, eta: 2:10:44, time: 0.164, data_time: 0.007, memory: 52541, decode.loss_ce: 0.0404, decode.acc_seg: 98.2035, loss: 0.0404 +2023-03-04 08:22:14,435 - mmseg - INFO - Iter [122750/160000] lr: 2.344e-06, eta: 2:10:33, time: 0.170, data_time: 0.008, memory: 52541, decode.loss_ce: 0.0397, decode.acc_seg: 98.2408, loss: 0.0397 +2023-03-04 08:22:22,686 - mmseg - INFO - Iter [122800/160000] lr: 2.344e-06, eta: 2:10:21, time: 0.165, data_time: 0.008, memory: 52541, decode.loss_ce: 0.0408, decode.acc_seg: 98.1969, loss: 0.0408 +2023-03-04 08:22:31,094 - mmseg - INFO - Iter [122850/160000] lr: 2.344e-06, eta: 2:10:10, time: 0.168, data_time: 0.008, memory: 52541, decode.loss_ce: 0.0437, decode.acc_seg: 98.1333, loss: 0.0437 +2023-03-04 08:22:39,290 - mmseg - INFO - Iter [122900/160000] lr: 2.344e-06, eta: 2:09:59, time: 0.164, data_time: 0.007, memory: 52541, decode.loss_ce: 0.0387, decode.acc_seg: 98.2968, loss: 0.0387 +2023-03-04 08:22:47,588 - mmseg - INFO - Iter [122950/160000] lr: 2.344e-06, eta: 2:09:48, time: 0.166, data_time: 0.007, memory: 52541, decode.loss_ce: 0.0404, decode.acc_seg: 98.2493, loss: 0.0404 +2023-03-04 08:22:56,129 - mmseg - INFO - Exp name: ablation_segformer_mit_b2_segformer_head_unet_fc_small_multi_step_ade_pretrained_freeze_embed_160k_ade20k151_finetune_ema_wgt.py +2023-03-04 08:22:56,129 - mmseg - INFO - Iter [123000/160000] lr: 2.344e-06, eta: 2:09:37, time: 0.171, data_time: 0.008, memory: 52541, decode.loss_ce: 0.0434, decode.acc_seg: 98.1046, loss: 0.0434 +2023-03-04 08:23:07,005 - mmseg - INFO - Iter [123050/160000] lr: 2.344e-06, eta: 2:09:26, time: 0.218, data_time: 0.057, memory: 52541, decode.loss_ce: 0.0405, decode.acc_seg: 98.1821, loss: 0.0405 +2023-03-04 08:23:15,135 - mmseg - INFO - Iter [123100/160000] lr: 2.344e-06, eta: 2:09:15, time: 0.163, data_time: 0.007, memory: 52541, decode.loss_ce: 0.0433, decode.acc_seg: 98.0875, loss: 0.0433 +2023-03-04 08:23:23,316 - mmseg - INFO - Iter [123150/160000] lr: 2.344e-06, eta: 2:09:04, time: 0.164, data_time: 0.007, memory: 52541, decode.loss_ce: 0.0428, decode.acc_seg: 98.1052, loss: 0.0428 +2023-03-04 08:23:31,828 - mmseg - INFO - Iter [123200/160000] lr: 2.344e-06, eta: 2:08:53, time: 0.170, data_time: 0.007, memory: 52541, decode.loss_ce: 0.0418, decode.acc_seg: 98.1636, loss: 0.0418 +2023-03-04 08:23:40,331 - mmseg - INFO - Iter [123250/160000] lr: 2.344e-06, eta: 2:08:42, time: 0.170, data_time: 0.007, memory: 52541, decode.loss_ce: 0.0432, decode.acc_seg: 98.1360, loss: 0.0432 +2023-03-04 08:23:48,428 - mmseg - INFO - Iter [123300/160000] lr: 2.344e-06, eta: 2:08:30, time: 0.162, data_time: 0.007, memory: 52541, decode.loss_ce: 0.0423, decode.acc_seg: 98.1637, loss: 0.0423 +2023-03-04 08:23:56,672 - mmseg - INFO - Iter [123350/160000] lr: 2.344e-06, eta: 2:08:19, time: 0.165, data_time: 0.007, memory: 52541, decode.loss_ce: 0.0411, decode.acc_seg: 98.1989, loss: 0.0411 +2023-03-04 08:24:04,962 - mmseg - INFO - Iter [123400/160000] lr: 2.344e-06, eta: 2:08:08, time: 0.166, data_time: 0.007, memory: 52541, decode.loss_ce: 0.0421, decode.acc_seg: 98.1476, loss: 0.0421 +2023-03-04 08:24:13,050 - mmseg - INFO - Iter [123450/160000] lr: 2.344e-06, eta: 2:07:57, time: 0.162, data_time: 0.008, memory: 52541, decode.loss_ce: 0.0409, decode.acc_seg: 98.2039, loss: 0.0409 +2023-03-04 08:24:21,246 - mmseg - INFO - Iter [123500/160000] lr: 2.344e-06, eta: 2:07:46, time: 0.164, data_time: 0.007, memory: 52541, decode.loss_ce: 0.0420, decode.acc_seg: 98.1759, loss: 0.0420 +2023-03-04 08:24:29,623 - mmseg - INFO - Iter [123550/160000] lr: 2.344e-06, eta: 2:07:35, time: 0.168, data_time: 0.007, memory: 52541, decode.loss_ce: 0.0397, decode.acc_seg: 98.2500, loss: 0.0397 +2023-03-04 08:24:37,657 - mmseg - INFO - Iter [123600/160000] lr: 2.344e-06, eta: 2:07:23, time: 0.161, data_time: 0.007, memory: 52541, decode.loss_ce: 0.0420, decode.acc_seg: 98.1539, loss: 0.0420 +2023-03-04 08:24:45,993 - mmseg - INFO - Iter [123650/160000] lr: 2.344e-06, eta: 2:07:12, time: 0.166, data_time: 0.007, memory: 52541, decode.loss_ce: 0.0444, decode.acc_seg: 98.0553, loss: 0.0444 +2023-03-04 08:24:56,913 - mmseg - INFO - Iter [123700/160000] lr: 2.344e-06, eta: 2:07:02, time: 0.219, data_time: 0.056, memory: 52541, decode.loss_ce: 0.0406, decode.acc_seg: 98.2422, loss: 0.0406 +2023-03-04 08:25:05,848 - mmseg - INFO - Iter [123750/160000] lr: 2.344e-06, eta: 2:06:51, time: 0.179, data_time: 0.009, memory: 52541, decode.loss_ce: 0.0463, decode.acc_seg: 98.0000, loss: 0.0463 +2023-03-04 08:25:14,874 - mmseg - INFO - Iter [123800/160000] lr: 2.344e-06, eta: 2:06:40, time: 0.181, data_time: 0.009, memory: 52541, decode.loss_ce: 0.0429, decode.acc_seg: 98.1217, loss: 0.0429 +2023-03-04 08:25:22,925 - mmseg - INFO - Iter [123850/160000] lr: 2.344e-06, eta: 2:06:29, time: 0.161, data_time: 0.007, memory: 52541, decode.loss_ce: 0.0396, decode.acc_seg: 98.2346, loss: 0.0396 +2023-03-04 08:25:31,460 - mmseg - INFO - Iter [123900/160000] lr: 2.344e-06, eta: 2:06:18, time: 0.171, data_time: 0.007, memory: 52541, decode.loss_ce: 0.0435, decode.acc_seg: 98.1044, loss: 0.0435 +2023-03-04 08:25:39,600 - mmseg - INFO - Iter [123950/160000] lr: 2.344e-06, eta: 2:06:06, time: 0.163, data_time: 0.008, memory: 52541, decode.loss_ce: 0.0432, decode.acc_seg: 98.1653, loss: 0.0432 +2023-03-04 08:25:47,749 - mmseg - INFO - Exp name: ablation_segformer_mit_b2_segformer_head_unet_fc_small_multi_step_ade_pretrained_freeze_embed_160k_ade20k151_finetune_ema_wgt.py +2023-03-04 08:25:47,749 - mmseg - INFO - Iter [124000/160000] lr: 2.344e-06, eta: 2:05:55, time: 0.163, data_time: 0.007, memory: 52541, decode.loss_ce: 0.0409, decode.acc_seg: 98.2242, loss: 0.0409 +2023-03-04 08:25:56,231 - mmseg - INFO - Iter [124050/160000] lr: 2.344e-06, eta: 2:05:44, time: 0.170, data_time: 0.008, memory: 52541, decode.loss_ce: 0.0442, decode.acc_seg: 98.0757, loss: 0.0442 +2023-03-04 08:26:04,866 - mmseg - INFO - Iter [124100/160000] lr: 2.344e-06, eta: 2:05:33, time: 0.173, data_time: 0.008, memory: 52541, decode.loss_ce: 0.0416, decode.acc_seg: 98.1989, loss: 0.0416 +2023-03-04 08:26:13,258 - mmseg - INFO - Iter [124150/160000] lr: 2.344e-06, eta: 2:05:22, time: 0.168, data_time: 0.007, memory: 52541, decode.loss_ce: 0.0445, decode.acc_seg: 98.0642, loss: 0.0445 +2023-03-04 08:26:21,732 - mmseg - INFO - Iter [124200/160000] lr: 2.344e-06, eta: 2:05:11, time: 0.169, data_time: 0.008, memory: 52541, decode.loss_ce: 0.0401, decode.acc_seg: 98.2335, loss: 0.0401 +2023-03-04 08:26:30,153 - mmseg - INFO - Iter [124250/160000] lr: 2.344e-06, eta: 2:05:00, time: 0.169, data_time: 0.008, memory: 52541, decode.loss_ce: 0.0429, decode.acc_seg: 98.1224, loss: 0.0429 +2023-03-04 08:26:38,189 - mmseg - INFO - Iter [124300/160000] lr: 2.344e-06, eta: 2:04:49, time: 0.161, data_time: 0.007, memory: 52541, decode.loss_ce: 0.0425, decode.acc_seg: 98.1467, loss: 0.0425 +2023-03-04 08:26:48,827 - mmseg - INFO - Iter [124350/160000] lr: 2.344e-06, eta: 2:04:38, time: 0.213, data_time: 0.053, memory: 52541, decode.loss_ce: 0.0437, decode.acc_seg: 98.1282, loss: 0.0437 +2023-03-04 08:26:57,094 - mmseg - INFO - Iter [124400/160000] lr: 2.344e-06, eta: 2:04:27, time: 0.165, data_time: 0.008, memory: 52541, decode.loss_ce: 0.0437, decode.acc_seg: 98.1162, loss: 0.0437 +2023-03-04 08:27:05,266 - mmseg - INFO - Iter [124450/160000] lr: 2.344e-06, eta: 2:04:16, time: 0.163, data_time: 0.007, memory: 52541, decode.loss_ce: 0.0430, decode.acc_seg: 98.1338, loss: 0.0430 +2023-03-04 08:27:13,869 - mmseg - INFO - Iter [124500/160000] lr: 2.344e-06, eta: 2:04:05, time: 0.172, data_time: 0.007, memory: 52541, decode.loss_ce: 0.0446, decode.acc_seg: 98.0631, loss: 0.0446 +2023-03-04 08:27:22,409 - mmseg - INFO - Iter [124550/160000] lr: 2.344e-06, eta: 2:03:54, time: 0.171, data_time: 0.007, memory: 52541, decode.loss_ce: 0.0392, decode.acc_seg: 98.2627, loss: 0.0392 +2023-03-04 08:27:30,648 - mmseg - INFO - Iter [124600/160000] lr: 2.344e-06, eta: 2:03:43, time: 0.165, data_time: 0.007, memory: 52541, decode.loss_ce: 0.0438, decode.acc_seg: 98.0865, loss: 0.0438 +2023-03-04 08:27:39,141 - mmseg - INFO - Iter [124650/160000] lr: 2.344e-06, eta: 2:03:32, time: 0.170, data_time: 0.007, memory: 52541, decode.loss_ce: 0.0408, decode.acc_seg: 98.1866, loss: 0.0408 +2023-03-04 08:27:47,679 - mmseg - INFO - Iter [124700/160000] lr: 2.344e-06, eta: 2:03:21, time: 0.170, data_time: 0.007, memory: 52541, decode.loss_ce: 0.0408, decode.acc_seg: 98.2368, loss: 0.0408 +2023-03-04 08:27:55,817 - mmseg - INFO - Iter [124750/160000] lr: 2.344e-06, eta: 2:03:10, time: 0.163, data_time: 0.008, memory: 52541, decode.loss_ce: 0.0393, decode.acc_seg: 98.2839, loss: 0.0393 +2023-03-04 08:28:04,113 - mmseg - INFO - Iter [124800/160000] lr: 2.344e-06, eta: 2:02:59, time: 0.166, data_time: 0.007, memory: 52541, decode.loss_ce: 0.0462, decode.acc_seg: 97.9911, loss: 0.0462 +2023-03-04 08:28:12,647 - mmseg - INFO - Iter [124850/160000] lr: 2.344e-06, eta: 2:02:47, time: 0.171, data_time: 0.008, memory: 52541, decode.loss_ce: 0.0434, decode.acc_seg: 98.1259, loss: 0.0434 +2023-03-04 08:28:20,936 - mmseg - INFO - Iter [124900/160000] lr: 2.344e-06, eta: 2:02:36, time: 0.166, data_time: 0.007, memory: 52541, decode.loss_ce: 0.0430, decode.acc_seg: 98.1048, loss: 0.0430 +2023-03-04 08:28:31,988 - mmseg - INFO - Iter [124950/160000] lr: 2.344e-06, eta: 2:02:26, time: 0.221, data_time: 0.055, memory: 52541, decode.loss_ce: 0.0417, decode.acc_seg: 98.1286, loss: 0.0417 +2023-03-04 08:28:40,543 - mmseg - INFO - Exp name: ablation_segformer_mit_b2_segformer_head_unet_fc_small_multi_step_ade_pretrained_freeze_embed_160k_ade20k151_finetune_ema_wgt.py +2023-03-04 08:28:40,543 - mmseg - INFO - Iter [125000/160000] lr: 2.344e-06, eta: 2:02:15, time: 0.171, data_time: 0.007, memory: 52541, decode.loss_ce: 0.0419, decode.acc_seg: 98.1895, loss: 0.0419 +2023-03-04 08:28:48,961 - mmseg - INFO - Iter [125050/160000] lr: 2.344e-06, eta: 2:02:04, time: 0.169, data_time: 0.007, memory: 52541, decode.loss_ce: 0.0453, decode.acc_seg: 98.0915, loss: 0.0453 +2023-03-04 08:28:57,248 - mmseg - INFO - Iter [125100/160000] lr: 2.344e-06, eta: 2:01:53, time: 0.166, data_time: 0.007, memory: 52541, decode.loss_ce: 0.0416, decode.acc_seg: 98.1732, loss: 0.0416 +2023-03-04 08:29:05,669 - mmseg - INFO - Iter [125150/160000] lr: 2.344e-06, eta: 2:01:42, time: 0.168, data_time: 0.007, memory: 52541, decode.loss_ce: 0.0421, decode.acc_seg: 98.1405, loss: 0.0421 +2023-03-04 08:29:14,093 - mmseg - INFO - Iter [125200/160000] lr: 2.344e-06, eta: 2:01:31, time: 0.169, data_time: 0.007, memory: 52541, decode.loss_ce: 0.0427, decode.acc_seg: 98.0936, loss: 0.0427 +2023-03-04 08:29:22,320 - mmseg - INFO - Iter [125250/160000] lr: 2.344e-06, eta: 2:01:20, time: 0.165, data_time: 0.007, memory: 52541, decode.loss_ce: 0.0421, decode.acc_seg: 98.1594, loss: 0.0421 +2023-03-04 08:29:30,487 - mmseg - INFO - Iter [125300/160000] lr: 2.344e-06, eta: 2:01:09, time: 0.163, data_time: 0.007, memory: 52541, decode.loss_ce: 0.0398, decode.acc_seg: 98.2501, loss: 0.0398 +2023-03-04 08:29:38,851 - mmseg - INFO - Iter [125350/160000] lr: 2.344e-06, eta: 2:00:58, time: 0.167, data_time: 0.008, memory: 52541, decode.loss_ce: 0.0421, decode.acc_seg: 98.1371, loss: 0.0421 +2023-03-04 08:29:47,054 - mmseg - INFO - Iter [125400/160000] lr: 2.344e-06, eta: 2:00:46, time: 0.164, data_time: 0.007, memory: 52541, decode.loss_ce: 0.0414, decode.acc_seg: 98.1893, loss: 0.0414 +2023-03-04 08:29:55,283 - mmseg - INFO - Iter [125450/160000] lr: 2.344e-06, eta: 2:00:35, time: 0.165, data_time: 0.008, memory: 52541, decode.loss_ce: 0.0426, decode.acc_seg: 98.0812, loss: 0.0426 +2023-03-04 08:30:03,798 - mmseg - INFO - Iter [125500/160000] lr: 2.344e-06, eta: 2:00:24, time: 0.170, data_time: 0.008, memory: 52541, decode.loss_ce: 0.0455, decode.acc_seg: 98.0297, loss: 0.0455 +2023-03-04 08:30:12,033 - mmseg - INFO - Iter [125550/160000] lr: 2.344e-06, eta: 2:00:13, time: 0.165, data_time: 0.008, memory: 52541, decode.loss_ce: 0.0420, decode.acc_seg: 98.1695, loss: 0.0420 +2023-03-04 08:30:22,699 - mmseg - INFO - Iter [125600/160000] lr: 2.344e-06, eta: 2:00:03, time: 0.213, data_time: 0.055, memory: 52541, decode.loss_ce: 0.0424, decode.acc_seg: 98.1570, loss: 0.0424 +2023-03-04 08:30:30,978 - mmseg - INFO - Iter [125650/160000] lr: 2.344e-06, eta: 1:59:52, time: 0.166, data_time: 0.008, memory: 52541, decode.loss_ce: 0.0431, decode.acc_seg: 98.1232, loss: 0.0431 +2023-03-04 08:30:39,635 - mmseg - INFO - Iter [125700/160000] lr: 2.344e-06, eta: 1:59:41, time: 0.173, data_time: 0.007, memory: 52541, decode.loss_ce: 0.0410, decode.acc_seg: 98.2011, loss: 0.0410 +2023-03-04 08:30:48,381 - mmseg - INFO - Iter [125750/160000] lr: 2.344e-06, eta: 1:59:30, time: 0.175, data_time: 0.007, memory: 52541, decode.loss_ce: 0.0420, decode.acc_seg: 98.1709, loss: 0.0420 +2023-03-04 08:30:56,924 - mmseg - INFO - Iter [125800/160000] lr: 2.344e-06, eta: 1:59:19, time: 0.171, data_time: 0.007, memory: 52541, decode.loss_ce: 0.0449, decode.acc_seg: 98.0573, loss: 0.0449 +2023-03-04 08:31:05,068 - mmseg - INFO - Iter [125850/160000] lr: 2.344e-06, eta: 1:59:08, time: 0.163, data_time: 0.008, memory: 52541, decode.loss_ce: 0.0496, decode.acc_seg: 97.9011, loss: 0.0496 +2023-03-04 08:31:13,366 - mmseg - INFO - Iter [125900/160000] lr: 2.344e-06, eta: 1:58:57, time: 0.166, data_time: 0.007, memory: 52541, decode.loss_ce: 0.0428, decode.acc_seg: 98.1114, loss: 0.0428 +2023-03-04 08:31:21,591 - mmseg - INFO - Iter [125950/160000] lr: 2.344e-06, eta: 1:58:46, time: 0.164, data_time: 0.007, memory: 52541, decode.loss_ce: 0.0411, decode.acc_seg: 98.2041, loss: 0.0411 +2023-03-04 08:31:30,220 - mmseg - INFO - Exp name: ablation_segformer_mit_b2_segformer_head_unet_fc_small_multi_step_ade_pretrained_freeze_embed_160k_ade20k151_finetune_ema_wgt.py +2023-03-04 08:31:30,221 - mmseg - INFO - Iter [126000/160000] lr: 2.344e-06, eta: 1:58:35, time: 0.172, data_time: 0.007, memory: 52541, decode.loss_ce: 0.0422, decode.acc_seg: 98.1412, loss: 0.0422 +2023-03-04 08:31:38,757 - mmseg - INFO - Iter [126050/160000] lr: 2.344e-06, eta: 1:58:24, time: 0.171, data_time: 0.008, memory: 52541, decode.loss_ce: 0.0451, decode.acc_seg: 98.0701, loss: 0.0451 +2023-03-04 08:31:47,163 - mmseg - INFO - Iter [126100/160000] lr: 2.344e-06, eta: 1:58:13, time: 0.168, data_time: 0.007, memory: 52541, decode.loss_ce: 0.0397, decode.acc_seg: 98.2478, loss: 0.0397 +2023-03-04 08:31:55,412 - mmseg - INFO - Iter [126150/160000] lr: 2.344e-06, eta: 1:58:02, time: 0.165, data_time: 0.007, memory: 52541, decode.loss_ce: 0.0420, decode.acc_seg: 98.1280, loss: 0.0420 +2023-03-04 08:32:03,467 - mmseg - INFO - Iter [126200/160000] lr: 2.344e-06, eta: 1:57:51, time: 0.161, data_time: 0.008, memory: 52541, decode.loss_ce: 0.0416, decode.acc_seg: 98.1802, loss: 0.0416 +2023-03-04 08:32:14,220 - mmseg - INFO - Iter [126250/160000] lr: 2.344e-06, eta: 1:57:40, time: 0.215, data_time: 0.054, memory: 52541, decode.loss_ce: 0.0410, decode.acc_seg: 98.1886, loss: 0.0410 +2023-03-04 08:32:22,241 - mmseg - INFO - Iter [126300/160000] lr: 2.344e-06, eta: 1:57:29, time: 0.160, data_time: 0.007, memory: 52541, decode.loss_ce: 0.0437, decode.acc_seg: 98.0870, loss: 0.0437 +2023-03-04 08:32:30,342 - mmseg - INFO - Iter [126350/160000] lr: 2.344e-06, eta: 1:57:18, time: 0.162, data_time: 0.007, memory: 52541, decode.loss_ce: 0.0405, decode.acc_seg: 98.2064, loss: 0.0405 +2023-03-04 08:32:39,158 - mmseg - INFO - Iter [126400/160000] lr: 2.344e-06, eta: 1:57:07, time: 0.176, data_time: 0.007, memory: 52541, decode.loss_ce: 0.0436, decode.acc_seg: 98.1231, loss: 0.0436 +2023-03-04 08:32:47,483 - mmseg - INFO - Iter [126450/160000] lr: 2.344e-06, eta: 1:56:56, time: 0.166, data_time: 0.007, memory: 52541, decode.loss_ce: 0.0421, decode.acc_seg: 98.1734, loss: 0.0421 +2023-03-04 08:32:55,843 - mmseg - INFO - Iter [126500/160000] lr: 2.344e-06, eta: 1:56:45, time: 0.167, data_time: 0.008, memory: 52541, decode.loss_ce: 0.0408, decode.acc_seg: 98.2043, loss: 0.0408 +2023-03-04 08:33:04,113 - mmseg - INFO - Iter [126550/160000] lr: 2.344e-06, eta: 1:56:34, time: 0.165, data_time: 0.007, memory: 52541, decode.loss_ce: 0.0429, decode.acc_seg: 98.1296, loss: 0.0429 +2023-03-04 08:33:12,529 - mmseg - INFO - Iter [126600/160000] lr: 2.344e-06, eta: 1:56:23, time: 0.168, data_time: 0.008, memory: 52541, decode.loss_ce: 0.0432, decode.acc_seg: 98.1161, loss: 0.0432 +2023-03-04 08:33:20,935 - mmseg - INFO - Iter [126650/160000] lr: 2.344e-06, eta: 1:56:12, time: 0.168, data_time: 0.007, memory: 52541, decode.loss_ce: 0.0433, decode.acc_seg: 98.1146, loss: 0.0433 +2023-03-04 08:33:29,245 - mmseg - INFO - Iter [126700/160000] lr: 2.344e-06, eta: 1:56:01, time: 0.166, data_time: 0.007, memory: 52541, decode.loss_ce: 0.0404, decode.acc_seg: 98.2263, loss: 0.0404 +2023-03-04 08:33:37,886 - mmseg - INFO - Iter [126750/160000] lr: 2.344e-06, eta: 1:55:50, time: 0.173, data_time: 0.007, memory: 52541, decode.loss_ce: 0.0411, decode.acc_seg: 98.2145, loss: 0.0411 +2023-03-04 08:33:46,210 - mmseg - INFO - Iter [126800/160000] lr: 2.344e-06, eta: 1:55:39, time: 0.166, data_time: 0.007, memory: 52541, decode.loss_ce: 0.0401, decode.acc_seg: 98.2174, loss: 0.0401 +2023-03-04 08:33:56,912 - mmseg - INFO - Iter [126850/160000] lr: 2.344e-06, eta: 1:55:29, time: 0.214, data_time: 0.055, memory: 52541, decode.loss_ce: 0.0407, decode.acc_seg: 98.2159, loss: 0.0407 +2023-03-04 08:34:05,479 - mmseg - INFO - Iter [126900/160000] lr: 2.344e-06, eta: 1:55:18, time: 0.171, data_time: 0.008, memory: 52541, decode.loss_ce: 0.0417, decode.acc_seg: 98.1527, loss: 0.0417 +2023-03-04 08:34:13,947 - mmseg - INFO - Iter [126950/160000] lr: 2.344e-06, eta: 1:55:07, time: 0.169, data_time: 0.007, memory: 52541, decode.loss_ce: 0.0424, decode.acc_seg: 98.1652, loss: 0.0424 +2023-03-04 08:34:22,124 - mmseg - INFO - Exp name: ablation_segformer_mit_b2_segformer_head_unet_fc_small_multi_step_ade_pretrained_freeze_embed_160k_ade20k151_finetune_ema_wgt.py +2023-03-04 08:34:22,124 - mmseg - INFO - Iter [127000/160000] lr: 2.344e-06, eta: 1:54:56, time: 0.163, data_time: 0.007, memory: 52541, decode.loss_ce: 0.0408, decode.acc_seg: 98.2116, loss: 0.0408 +2023-03-04 08:34:30,183 - mmseg - INFO - Iter [127050/160000] lr: 2.344e-06, eta: 1:54:45, time: 0.161, data_time: 0.008, memory: 52541, decode.loss_ce: 0.0403, decode.acc_seg: 98.2258, loss: 0.0403 +2023-03-04 08:34:38,470 - mmseg - INFO - Iter [127100/160000] lr: 2.344e-06, eta: 1:54:34, time: 0.166, data_time: 0.008, memory: 52541, decode.loss_ce: 0.0401, decode.acc_seg: 98.2508, loss: 0.0401 +2023-03-04 08:34:47,104 - mmseg - INFO - Iter [127150/160000] lr: 2.344e-06, eta: 1:54:23, time: 0.173, data_time: 0.009, memory: 52541, decode.loss_ce: 0.0405, decode.acc_seg: 98.2192, loss: 0.0405 +2023-03-04 08:34:55,342 - mmseg - INFO - Iter [127200/160000] lr: 2.344e-06, eta: 1:54:12, time: 0.165, data_time: 0.007, memory: 52541, decode.loss_ce: 0.0415, decode.acc_seg: 98.1566, loss: 0.0415 +2023-03-04 08:35:03,669 - mmseg - INFO - Iter [127250/160000] lr: 2.344e-06, eta: 1:54:01, time: 0.167, data_time: 0.007, memory: 52541, decode.loss_ce: 0.0410, decode.acc_seg: 98.2005, loss: 0.0410 +2023-03-04 08:35:11,772 - mmseg - INFO - Iter [127300/160000] lr: 2.344e-06, eta: 1:53:50, time: 0.162, data_time: 0.007, memory: 52541, decode.loss_ce: 0.0442, decode.acc_seg: 98.1064, loss: 0.0442 +2023-03-04 08:35:19,886 - mmseg - INFO - Iter [127350/160000] lr: 2.344e-06, eta: 1:53:39, time: 0.162, data_time: 0.007, memory: 52541, decode.loss_ce: 0.0415, decode.acc_seg: 98.1716, loss: 0.0415 +2023-03-04 08:35:28,163 - mmseg - INFO - Iter [127400/160000] lr: 2.344e-06, eta: 1:53:28, time: 0.166, data_time: 0.007, memory: 52541, decode.loss_ce: 0.0426, decode.acc_seg: 98.1208, loss: 0.0426 +2023-03-04 08:35:36,536 - mmseg - INFO - Iter [127450/160000] lr: 2.344e-06, eta: 1:53:17, time: 0.167, data_time: 0.008, memory: 52541, decode.loss_ce: 0.0436, decode.acc_seg: 98.1058, loss: 0.0436 +2023-03-04 08:35:48,023 - mmseg - INFO - Iter [127500/160000] lr: 2.344e-06, eta: 1:53:06, time: 0.229, data_time: 0.056, memory: 52541, decode.loss_ce: 0.0433, decode.acc_seg: 98.1036, loss: 0.0433 +2023-03-04 08:35:56,741 - mmseg - INFO - Iter [127550/160000] lr: 2.344e-06, eta: 1:52:56, time: 0.174, data_time: 0.007, memory: 52541, decode.loss_ce: 0.0403, decode.acc_seg: 98.2305, loss: 0.0403 +2023-03-04 08:36:05,312 - mmseg - INFO - Iter [127600/160000] lr: 2.344e-06, eta: 1:52:45, time: 0.172, data_time: 0.008, memory: 52541, decode.loss_ce: 0.0421, decode.acc_seg: 98.1192, loss: 0.0421 +2023-03-04 08:36:13,707 - mmseg - INFO - Iter [127650/160000] lr: 2.344e-06, eta: 1:52:34, time: 0.168, data_time: 0.007, memory: 52541, decode.loss_ce: 0.0409, decode.acc_seg: 98.1769, loss: 0.0409 +2023-03-04 08:36:21,709 - mmseg - INFO - Iter [127700/160000] lr: 2.344e-06, eta: 1:52:23, time: 0.160, data_time: 0.008, memory: 52541, decode.loss_ce: 0.0405, decode.acc_seg: 98.2061, loss: 0.0405 +2023-03-04 08:36:30,288 - mmseg - INFO - Iter [127750/160000] lr: 2.344e-06, eta: 1:52:12, time: 0.172, data_time: 0.008, memory: 52541, decode.loss_ce: 0.0409, decode.acc_seg: 98.2299, loss: 0.0409 +2023-03-04 08:36:38,559 - mmseg - INFO - Iter [127800/160000] lr: 2.344e-06, eta: 1:52:01, time: 0.165, data_time: 0.008, memory: 52541, decode.loss_ce: 0.0430, decode.acc_seg: 98.1549, loss: 0.0430 +2023-03-04 08:36:46,732 - mmseg - INFO - Iter [127850/160000] lr: 2.344e-06, eta: 1:51:50, time: 0.163, data_time: 0.007, memory: 52541, decode.loss_ce: 0.0418, decode.acc_seg: 98.1794, loss: 0.0418 +2023-03-04 08:36:55,141 - mmseg - INFO - Iter [127900/160000] lr: 2.344e-06, eta: 1:51:39, time: 0.168, data_time: 0.008, memory: 52541, decode.loss_ce: 0.0428, decode.acc_seg: 98.1363, loss: 0.0428 +2023-03-04 08:37:03,677 - mmseg - INFO - Iter [127950/160000] lr: 2.344e-06, eta: 1:51:28, time: 0.171, data_time: 0.007, memory: 52541, decode.loss_ce: 0.0425, decode.acc_seg: 98.1085, loss: 0.0425 +2023-03-04 08:37:12,406 - mmseg - INFO - Swap parameters (after train) after iter [128000] +2023-03-04 08:37:12,420 - mmseg - INFO - Saving checkpoint at 128000 iterations +2023-03-04 08:37:13,476 - mmseg - INFO - Exp name: ablation_segformer_mit_b2_segformer_head_unet_fc_small_multi_step_ade_pretrained_freeze_embed_160k_ade20k151_finetune_ema_wgt.py +2023-03-04 08:37:13,476 - mmseg - INFO - Iter [128000/160000] lr: 2.344e-06, eta: 1:51:17, time: 0.196, data_time: 0.007, memory: 52541, decode.loss_ce: 0.0410, decode.acc_seg: 98.2193, loss: 0.0410 +2023-03-04 08:48:02,938 - mmseg - INFO - per class results: +2023-03-04 08:48:02,947 - mmseg - INFO - ++---------------------+-------------------------------------------------------------------+ +| Class | IoU 0,10,20,30,40,50,60,70,80,90,99 | ++---------------------+-------------------------------------------------------------------+ +| background | nan,nan,nan,nan,nan,nan,nan,nan,nan,nan,nan | +| wall | 76.91,75.86,73.78,70.19,65.65,61.11,57.15,53.86,51.28,49.35,48.16 | +| building | 81.31,80.71,80.06,78.48,75.82,72.46,68.97,65.95,63.55,61.79,60.72 | +| sky | 94.42,94.11,93.44,91.79,88.89,84.99,80.92,77.4,74.56,72.41,70.97 | +| floor | 81.27,80.26,78.71,75.69,71.26,66.51,62.08,58.44,55.62,53.54,52.27 | +| tree | 73.95,72.27,70.44,66.48,60.77,54.59,49.05,44.7,41.46,39.1,37.55 | +| ceiling | 84.65,83.99,80.47,73.71,65.26,56.95,49.7,43.55,38.54,34.52,31.65 | +| road | 81.52,80.93,79.29,76.48,73.24,70.29,67.49,65.22,63.39,61.92,60.92 | +| bed | 87.43,87.34,86.42,84.14,80.46,75.73,70.71,66.31,62.73,59.94,58.13 | +| windowpane | 59.88,59.63,58.11,55.54,52.05,48.3,44.66,41.35,38.67,36.68,35.59 | +| grass | 66.81,65.88,64.57,62.18,59.31,56.61,54.27,52.22,50.59,49.44,48.72 | +| cabinet | 59.89,60.45,59.35,57.34,54.69,51.61,48.44,45.42,43.07,41.18,39.86 | +| sidewalk | 63.11,61.33,57.48,51.79,46.14,42.28,39.43,37.62,36.29,35.36,34.83 | +| person | 78.77,78.02,76.69,73.81,68.92,62.31,55.43,49.24,44.21,40.62,38.51 | +| earth | 35.78,35.58,35.33,34.82,34.06,33.25,32.43,31.68,31.01,30.49,30.19 | +| door | 45.28,43.45,41.09,38.31,35.24,32.21,29.64,27.4,25.57,24.13,23.16 | +| table | 59.02,59.03,57.77,54.58,49.72,43.4,37.16,32.34,28.94,26.44,25.1 | +| mountain | 55.0,55.51,54.64,52.89,50.36,47.65,45.16,43.25,41.77,40.72,40.12 | +| plant | 50.58,49.36,48.51,46.35,43.0,39.14,35.52,32.55,30.33,28.88,28.02 | +| curtain | 73.35,72.42,70.16,66.08,60.39,54.11,48.49,43.83,40.17,37.56,35.87 | +| chair | 54.72,54.18,53.73,51.78,48.18,43.11,37.61,32.76,29.07,26.44,24.9 | +| car | 81.31,82.11,81.06,78.73,74.81,69.17,62.49,56.12,50.95,47.03,44.7 | +| water | 56.21,56.42,56.11,55.27,53.98,52.37,50.87,49.57,48.52,47.92,47.55 | +| painting | 70.42,70.19,69.57,67.7,65.13,62.34,59.9,57.51,55.57,53.9,53.12 | +| sofa | 62.09,62.59,62.35,61.69,59.59,56.23,52.22,48.23,45.17,42.9,41.56 | +| shelf | 44.48,41.94,40.88,38.66,36.01,33.39,31.0,28.98,27.35,26.11,25.33 | +| house | 39.55,34.98,34.82,34.26,33.63,32.41,30.98,29.55,28.21,27.3,26.79 | +| sea | 58.59,60.67,60.21,59.15,57.58,55.46,53.47,51.77,50.3,49.16,48.52 | +| mirror | 63.89,63.54,62.78,60.41,57.47,54.13,50.23,46.73,43.6,40.68,38.52 | +| rug | 63.73,61.75,60.72,57.57,52.82,47.46,42.78,38.6,35.45,33.35,32.08 | +| field | 30.68,30.29,30.11,29.58,28.97,28.42,28.06,27.75,27.51,27.29,27.16 | +| armchair | 36.48,37.23,37.3,36.58,35.22,33.0,30.46,27.61,25.03,22.88,21.43 | +| seat | 65.41,66.54,65.53,63.73,60.79,57.8,54.81,52.02,49.92,47.94,46.59 | +| fence | 38.84,38.84,37.39,34.72,32.05,29.16,26.73,24.64,23.16,21.85,20.96 | +| desk | 46.11,46.93,46.14,44.11,40.83,37.19,33.82,30.55,28.18,26.49,25.42 | +| rock | 37.65,37.64,36.71,34.88,32.66,30.2,28.17,26.66,25.55,24.7,24.15 | +| wardrobe | 56.26,56.87,55.88,53.51,50.87,48.4,45.97,43.56,41.97,40.79,40.17 | +| lamp | 60.05,60.64,59.83,58.0,54.98,50.75,44.91,38.8,33.84,29.42,26.56 | +| bathtub | 71.9,71.74,71.13,68.99,65.03,60.15,55.03,50.22,45.95,42.64,40.53 | +| railing | 34.05,32.2,31.01,28.8,25.72,22.96,21.24,19.81,18.82,18.01,17.44 | +| cushion | 53.84,53.4,52.86,52.34,51.12,48.49,43.94,37.97,32.01,26.98,23.9 | +| base | 21.84,21.33,19.9,18.16,16.74,15.69,14.74,14.21,13.5,13.19,13.08 | +| box | 22.2,21.55,20.76,19.93,18.63,17.27,15.77,14.63,13.38,12.52,12.0 | +| column | 44.96,45.63,44.11,41.28,36.79,32.26,28.12,24.54,22.06,20.55,19.76 | +| signboard | 37.22,37.57,36.66,35.21,32.86,29.99,26.64,23.55,20.84,18.71,17.46 | +| chest of drawers | 36.84,36.22,35.61,34.98,34.02,32.2,30.71,29.26,27.93,27.0,26.44 | +| counter | 30.31,32.39,33.58,32.56,30.19,27.47,25.0,23.06,21.26,19.98,19.04 | +| sand | 39.3,38.6,38.8,38.6,38.42,38.06,37.54,37.04,36.7,36.35,36.07 | +| sink | 67.49,66.28,65.8,63.79,59.63,54.29,48.61,42.46,37.06,32.91,30.34 | +| skyscraper | 46.91,47.49,46.94,46.09,44.92,43.35,41.78,40.26,38.9,37.73,36.96 | +| fireplace | 74.28,75.17,73.97,72.56,69.83,66.6,62.55,58.37,54.46,51.05,48.55 | +| refrigerator | 71.32,71.71,69.84,67.01,63.99,60.42,55.77,51.45,48.43,46.14,44.95 | +| grandstand | 51.81,55.55,54.9,54.6,53.35,51.91,49.18,46.95,44.03,41.38,39.69 | +| path | 20.21,21.65,22.1,21.43,19.51,17.71,16.61,15.85,15.54,15.67,15.58 | +| stairs | 34.33,32.29,31.51,30.05,28.19,26.0,23.54,21.49,19.85,18.92,18.36 | +| runway | 65.44,65.16,64.33,63.24,61.85,60.85,59.89,59.29,58.61,58.04,57.7 | +| case | 50.03,50.18,48.6,47.25,45.26,43.57,42.59,41.84,41.76,41.57,41.56 | +| pool table | 91.61,91.59,89.74,86.76,82.79,78.18,73.47,69.44,65.62,62.62,60.69 | +| pillow | 56.05,59.23,58.14,55.01,50.48,43.19,34.89,27.63,21.93,18.27,16.18 | +| screen door | 68.37,66.9,64.06,59.38,54.89,51.17,47.22,42.88,38.54,34.27,31.67 | +| stairway | 24.48,21.64,21.79,20.95,19.39,17.7,16.04,14.93,14.32,13.76,13.16 | +| river | 11.58,11.47,11.28,10.97,10.71,10.37,9.98,9.65,9.31,9.07,8.94 | +| bridge | 31.82,29.41,28.78,26.99,24.37,22.12,20.23,18.65,17.53,16.85,16.59 | +| bookcase | 45.21,44.1,43.06,41.01,38.2,34.75,31.83,29.02,26.36,24.46,23.31 | +| blind | 37.54,36.43,35.94,35.46,35.03,34.31,33.38,32.04,30.85,29.63,28.38 | +| coffee table | 53.05,54.04,54.2,53.22,50.09,45.97,41.62,37.1,32.88,29.63,28.03 | +| toilet | 82.38,82.56,82.29,81.06,77.78,74.36,69.98,64.99,60.06,55.77,52.67 | +| flower | 38.6,38.27,37.62,35.79,31.61,26.85,22.33,18.7,16.12,14.41,13.59 | +| book | 44.6,43.91,43.19,41.97,39.85,37.1,34.04,31.79,30.12,28.55,27.41 | +| hill | 15.17,15.56,15.25,14.55,12.95,11.39,10.52,9.74,8.96,8.4,8.06 | +| bench | 40.88,41.82,40.85,39.43,37.59,35.53,33.76,31.88,30.26,29.11,28.47 | +| countertop | 51.57,52.08,51.58,49.33,45.06,40.36,35.76,31.41,27.69,24.78,22.95 | +| stove | 70.31,70.17,68.63,66.5,63.71,59.62,54.53,48.71,43.86,40.32,38.06 | +| palm | 48.84,48.77,46.66,43.03,39.37,35.64,32.33,29.19,26.84,25.21,23.98 | +| kitchen island | 39.33,37.36,37.76,37.72,36.68,36.06,34.49,32.15,29.87,27.71,26.35 | +| computer | 57.63,58.61,57.65,56.48,53.98,50.97,48.23,45.86,43.32,41.1,40.0 | +| swivel chair | 42.95,44.92,44.69,43.44,42.84,39.98,36.76,33.16,29.94,27.62,26.37 | +| boat | 70.56,72.95,72.04,69.51,65.35,60.2,55.71,51.8,48.97,47.12,45.86 | +| bar | 21.59,22.4,22.42,21.42,20.05,18.74,17.55,16.42,15.35,14.52,13.88 | +| arcade machine | 70.28,64.14,60.08,55.06,49.04,42.67,37.41,32.54,28.19,24.52,21.23 | +| hovel | 22.71,20.23,19.24,18.54,17.73,16.96,15.88,14.64,13.68,12.71,12.06 | +| bus | 75.82,79.16,78.74,77.82,74.88,70.73,66.87,63.88,61.93,60.17,59.07 | +| towel | 58.86,62.92,62.39,58.67,53.55,46.25,40.29,34.38,29.2,25.0,22.62 | +| light | 49.5,53.6,55.52,53.56,50.46,46.47,41.14,36.51,32.49,29.28,26.72 | +| truck | 15.22,17.19,18.14,17.61,16.58,15.14,13.58,11.88,10.17,8.53,7.27 | +| tower | 10.54,11.9,12.73,11.55,10.01,8.39,6.65,5.38,4.57,3.82,3.36 | +| chandelier | 64.28,66.34,63.83,61.5,57.43,52.69,46.3,38.71,32.1,27.49,24.8 | +| awning | 23.58,23.81,23.24,21.56,19.54,16.4,13.42,11.18,9.41,8.09,7.03 | +| streetlight | 23.83,24.5,25.96,24.59,22.96,20.53,18.01,15.64,13.14,11.01,9.86 | +| booth | 39.85,36.72,36.19,34.45,32.96,31.83,31.02,29.98,28.93,27.93,27.28 | +| television receiver | 63.95,63.46,61.22,58.97,56.48,53.43,50.34,46.91,43.61,40.2,37.67 | +| airplane | 58.73,56.81,55.27,52.31,47.15,42.06,37.93,34.04,31.41,29.49,28.3 | +| dirt track | 14.88,19.14,18.56,18.3,18.28,17.83,17.44,17.27,17.13,17.09,17.1 | +| apparel | 31.03,30.75,30.89,28.36,25.41,23.18,20.01,17.64,15.73,14.06,13.31 | +| pole | 17.64,17.3,17.42,16.81,13.64,10.72,8.63,6.73,5.51,4.76,4.55 | +| land | 2.83,3.99,3.85,4.13,5.29,5.55,6.08,6.26,6.43,6.67,6.9 | +| bannister | 10.49,10.22,10.53,10.08,9.79,9.09,8.6,7.75,6.12,4.98,4.19 | +| escalator | 21.9,19.28,19.33,18.73,18.25,17.56,16.74,15.84,14.83,14.0,13.47 | +| ottoman | 43.89,42.71,43.02,41.0,38.75,36.26,33.73,31.13,28.93,27.49,26.37 | +| bottle | 32.57,34.55,33.57,32.35,29.87,27.43,24.61,22.18,20.65,19.4,18.9 | +| buffet | 35.2,43.23,42.35,40.62,38.67,35.81,32.33,29.89,28.42,27.53,26.92 | +| poster | 22.87,24.27,24.61,24.22,23.69,23.52,23.54,23.44,23.28,23.19,22.88 | +| stage | 13.01,13.45,13.29,12.8,12.0,11.1,10.8,10.7,10.62,10.18,9.65 | +| van | 40.28,38.21,37.58,36.53,34.88,32.51,29.74,27.4,25.64,24.56,24.07 | +| ship | 79.82,80.8,82.36,82.75,81.72,80.01,77.63,75.43,74.22,73.16,73.03 | +| fountain | 16.16,8.91,7.33,6.77,6.11,5.53,4.76,4.15,3.54,2.88,2.29 | +| conveyer belt | 82.03,85.15,84.03,82.07,77.71,74.74,71.15,68.1,65.51,63.59,61.38 | +| canopy | 21.53,25.36,25.21,22.98,20.29,17.15,14.8,12.78,11.24,9.26,7.68 | +| washer | 76.73,73.68,71.02,68.03,64.28,61.39,57.98,55.34,53.53,52.06,51.34 | +| plaything | 20.1,19.07,19.64,19.26,18.03,15.36,12.41,10.35,8.88,7.63,6.68 | +| swimming pool | 71.23,76.85,78.01,75.38,74.72,72.24,68.37,63.92,59.23,54.7,51.1 | +| stool | 42.11,40.92,40.93,38.76,34.51,28.9,23.66,18.71,15.25,13.06,11.64 | +| barrel | 40.92,34.42,14.01,11.36,11.92,12.52,13.05,13.27,13.27,13.59,13.58 | +| basket | 22.73,22.99,24.34,24.17,22.7,20.95,18.43,16.02,13.83,12.35,10.93 | +| waterfall | 50.45,47.75,49.79,47.81,44.33,40.89,38.08,36.1,35.36,35.15,34.69 | +| tent | 93.8,95.28,93.48,88.2,82.87,77.62,72.05,67.06,62.02,57.57,53.82 | +| bag | 13.9,12.39,12.56,10.75,9.4,7.78,6.67,5.81,5.25,4.9,4.62 | +| minibike | 60.57,64.74,63.75,60.53,55.34,46.97,40.7,35.22,30.19,26.31,23.26 | +| cradle | 82.71,85.19,82.42,76.29,70.08,64.44,59.98,55.58,52.26,49.71,48.35 | +| oven | 42.63,46.63,47.26,46.77,46.05,44.87,43.75,42.7,40.91,39.51,37.48 | +| ball | 43.39,39.41,37.38,34.54,30.47,26.39,24.17,21.87,20.15,19.06,18.44 | +| food | 47.16,54.65,54.13,51.12,47.62,43.75,39.82,36.62,34.55,32.75,31.51 | +| step | 5.6,4.21,3.92,3.29,2.15,1.24,0.71,0.33,0.28,0.3,0.15 | +| tank | 53.86,52.85,52.7,50.42,48.59,46.57,44.72,43.05,41.96,40.6,39.21 | +| trade name | 28.82,27.91,28.63,26.72,22.8,18.43,14.09,10.55,8.14,6.69,5.62 | +| microwave | 72.78,71.83,72.18,70.11,67.19,64.29,61.23,58.42,55.41,53.01,50.86 | +| pot | 30.54,29.98,28.74,27.69,25.12,21.69,18.2,15.44,12.65,10.41,9.12 | +| animal | 54.65,50.62,49.49,46.93,44.93,41.86,39.06,35.46,32.59,30.1,27.99 | +| bicycle | 49.14,50.54,47.31,44.6,40.8,35.15,29.44,25.52,21.89,19.88,18.65 | +| lake | 55.94,56.26,56.15,56.28,56.01,55.67,55.56,55.07,54.73,54.53,54.38 | +| dishwasher | 67.81,68.67,69.17,68.19,65.54,60.88,57.74,54.56,50.74,47.24,45.11 | +| screen | 69.93,70.7,71.15,70.92,69.97,68.37,66.87,65.92,65.19,64.56,64.2 | +| blanket | 14.42,18.42,17.37,15.13,13.38,10.85,8.78,7.24,6.16,5.45,5.21 | +| sculpture | 58.0,60.9,58.95,53.57,49.14,44.96,41.38,38.2,36.3,36.2,36.11 | +| hood | 58.35,59.65,59.37,56.89,53.33,48.58,43.47,39.67,35.12,31.48,29.61 | +| sconce | 40.15,36.29,36.68,35.06,32.94,30.03,27.01,23.33,19.25,16.51,14.96 | +| vase | 35.04,34.07,33.48,31.38,29.23,26.3,23.13,20.68,18.06,15.45,13.58 | +| traffic light | 30.33,30.36,29.94,27.83,22.9,20.52,17.75,15.02,13.06,11.46,10.92 | +| tray | 4.36,4.44,4.72,4.74,4.58,4.73,4.6,3.8,3.31,2.99,2.84 | +| ashcan | 41.17,42.58,44.15,42.67,40.57,36.9,31.8,26.9,22.65,19.46,17.95 | +| fan | 54.57,56.9,56.89,56.04,53.13,47.91,42.94,37.46,32.52,27.22,23.61 | +| pier | 44.44,49.54,50.23,49.3,47.8,44.7,41.13,38.4,36.18,34.52,33.32 | +| crt screen | 10.26,11.0,12.13,12.75,12.01,11.46,10.94,9.77,8.75,7.78,7.55 | +| plate | 44.19,46.32,48.63,46.02,41.95,37.48,32.89,27.38,22.24,18.56,16.43 | +| monitor | 16.21,8.02,7.37,6.62,6.41,5.85,5.38,5.11,4.77,4.46,4.21 | +| bulletin board | 36.79,34.75,33.56,31.03,26.76,22.47,19.46,16.74,14.96,13.32,11.82 | +| shower | 0.75,0.52,0.51,0.48,0.01,0.0,0.0,0.0,0.0,0.0,0.0 | +| radiator | 56.55,48.19,48.61,44.66,36.78,28.73,22.66,17.89,14.8,12.91,12.01 | +| glass | 10.32,12.15,12.31,12.55,11.42,10.13,8.98,6.99,5.51,4.81,4.63 | +| clock | 28.91,26.84,28.56,26.7,23.05,18.2,14.95,11.37,9.02,7.4,6.66 | +| flag | 31.42,29.3,28.14,26.58,24.68,22.71,20.68,17.81,16.17,15.22,14.63 | ++---------------------+-------------------------------------------------------------------+ +2023-03-04 08:48:02,947 - mmseg - INFO - Summary: +2023-03-04 08:48:02,947 - mmseg - INFO - ++-------------------------------------------------------------------+ +| mIoU 0,10,20,30,40,50,60,70,80,90,99 | ++-------------------------------------------------------------------+ +| 47.14,47.11,46.36,44.54,41.92,38.87,35.86,33.08,30.76,28.96,27.79 | ++-------------------------------------------------------------------+ +2023-03-04 08:48:02,947 - mmseg - INFO - Exp name: ablation_segformer_mit_b2_segformer_head_unet_fc_small_multi_step_ade_pretrained_freeze_embed_160k_ade20k151_finetune_ema_wgt.py +2023-03-04 08:48:02,947 - mmseg - INFO - Iter(val) [250] mIoU: [0.4714, 0.4711, 0.4636, 0.4454, 0.4192, 0.3887, 0.3586, 0.3308, 0.3076, 0.2896, 0.2779], copy_paste: 47.14,47.11,46.36,44.54,41.92,38.87,35.86,33.08,30.76,28.96,27.79 +2023-03-04 08:48:02,955 - mmseg - INFO - Swap parameters (before train) before iter [128001] +2023-03-04 08:48:11,411 - mmseg - INFO - Iter [128050/160000] lr: 2.344e-06, eta: 1:53:48, time: 13.159, data_time: 12.997, memory: 52541, decode.loss_ce: 0.0421, decode.acc_seg: 98.1396, loss: 0.0421 +2023-03-04 08:48:22,407 - mmseg - INFO - Iter [128100/160000] lr: 2.344e-06, eta: 1:53:38, time: 0.220, data_time: 0.055, memory: 52541, decode.loss_ce: 0.0451, decode.acc_seg: 98.0407, loss: 0.0451 +2023-03-04 08:48:31,289 - mmseg - INFO - Iter [128150/160000] lr: 2.344e-06, eta: 1:53:27, time: 0.178, data_time: 0.007, memory: 52541, decode.loss_ce: 0.0417, decode.acc_seg: 98.1926, loss: 0.0417 +2023-03-04 08:48:39,890 - mmseg - INFO - Iter [128200/160000] lr: 2.344e-06, eta: 1:53:15, time: 0.172, data_time: 0.008, memory: 52541, decode.loss_ce: 0.0421, decode.acc_seg: 98.1480, loss: 0.0421 +2023-03-04 08:48:48,470 - mmseg - INFO - Iter [128250/160000] lr: 2.344e-06, eta: 1:53:04, time: 0.172, data_time: 0.007, memory: 52541, decode.loss_ce: 0.0403, decode.acc_seg: 98.2296, loss: 0.0403 +2023-03-04 08:48:56,647 - mmseg - INFO - Iter [128300/160000] lr: 2.344e-06, eta: 1:52:53, time: 0.164, data_time: 0.007, memory: 52541, decode.loss_ce: 0.0411, decode.acc_seg: 98.2218, loss: 0.0411 +2023-03-04 08:49:05,066 - mmseg - INFO - Iter [128350/160000] lr: 2.344e-06, eta: 1:52:42, time: 0.168, data_time: 0.008, memory: 52541, decode.loss_ce: 0.0406, decode.acc_seg: 98.1760, loss: 0.0406 +2023-03-04 08:49:13,521 - mmseg - INFO - Iter [128400/160000] lr: 2.344e-06, eta: 1:52:31, time: 0.169, data_time: 0.007, memory: 52541, decode.loss_ce: 0.0383, decode.acc_seg: 98.2985, loss: 0.0383 +2023-03-04 08:49:21,714 - mmseg - INFO - Iter [128450/160000] lr: 2.344e-06, eta: 1:52:19, time: 0.164, data_time: 0.007, memory: 52541, decode.loss_ce: 0.0416, decode.acc_seg: 98.1939, loss: 0.0416 +2023-03-04 08:49:29,998 - mmseg - INFO - Iter [128500/160000] lr: 2.344e-06, eta: 1:52:08, time: 0.166, data_time: 0.007, memory: 52541, decode.loss_ce: 0.0416, decode.acc_seg: 98.1784, loss: 0.0416 +2023-03-04 08:49:38,544 - mmseg - INFO - Iter [128550/160000] lr: 2.344e-06, eta: 1:51:57, time: 0.171, data_time: 0.007, memory: 52541, decode.loss_ce: 0.0396, decode.acc_seg: 98.2870, loss: 0.0396 +2023-03-04 08:49:47,053 - mmseg - INFO - Iter [128600/160000] lr: 2.344e-06, eta: 1:51:46, time: 0.170, data_time: 0.007, memory: 52541, decode.loss_ce: 0.0404, decode.acc_seg: 98.2065, loss: 0.0404 +2023-03-04 08:49:55,669 - mmseg - INFO - Iter [128650/160000] lr: 2.344e-06, eta: 1:51:34, time: 0.173, data_time: 0.008, memory: 52541, decode.loss_ce: 0.0400, decode.acc_seg: 98.2087, loss: 0.0400 +2023-03-04 08:50:03,803 - mmseg - INFO - Iter [128700/160000] lr: 2.344e-06, eta: 1:51:23, time: 0.163, data_time: 0.007, memory: 52541, decode.loss_ce: 0.0429, decode.acc_seg: 98.0952, loss: 0.0429 +2023-03-04 08:50:14,634 - mmseg - INFO - Iter [128750/160000] lr: 2.344e-06, eta: 1:51:12, time: 0.216, data_time: 0.056, memory: 52541, decode.loss_ce: 0.0388, decode.acc_seg: 98.3007, loss: 0.0388 +2023-03-04 08:50:23,605 - mmseg - INFO - Iter [128800/160000] lr: 2.344e-06, eta: 1:51:01, time: 0.179, data_time: 0.007, memory: 52541, decode.loss_ce: 0.0411, decode.acc_seg: 98.2241, loss: 0.0411 +2023-03-04 08:50:31,824 - mmseg - INFO - Iter [128850/160000] lr: 2.344e-06, eta: 1:50:50, time: 0.165, data_time: 0.007, memory: 52541, decode.loss_ce: 0.0417, decode.acc_seg: 98.1309, loss: 0.0417 +2023-03-04 08:50:40,184 - mmseg - INFO - Iter [128900/160000] lr: 2.344e-06, eta: 1:50:39, time: 0.167, data_time: 0.008, memory: 52541, decode.loss_ce: 0.0423, decode.acc_seg: 98.1415, loss: 0.0423 +2023-03-04 08:50:48,633 - mmseg - INFO - Iter [128950/160000] lr: 2.344e-06, eta: 1:50:28, time: 0.169, data_time: 0.008, memory: 52541, decode.loss_ce: 0.0408, decode.acc_seg: 98.2022, loss: 0.0408 +2023-03-04 08:50:57,024 - mmseg - INFO - Exp name: ablation_segformer_mit_b2_segformer_head_unet_fc_small_multi_step_ade_pretrained_freeze_embed_160k_ade20k151_finetune_ema_wgt.py +2023-03-04 08:50:57,024 - mmseg - INFO - Iter [129000/160000] lr: 2.344e-06, eta: 1:50:16, time: 0.168, data_time: 0.008, memory: 52541, decode.loss_ce: 0.0390, decode.acc_seg: 98.2844, loss: 0.0390 +2023-03-04 08:51:05,230 - mmseg - INFO - Iter [129050/160000] lr: 2.344e-06, eta: 1:50:05, time: 0.164, data_time: 0.007, memory: 52541, decode.loss_ce: 0.0408, decode.acc_seg: 98.2191, loss: 0.0408 +2023-03-04 08:51:13,546 - mmseg - INFO - Iter [129100/160000] lr: 2.344e-06, eta: 1:49:54, time: 0.166, data_time: 0.008, memory: 52541, decode.loss_ce: 0.0444, decode.acc_seg: 98.0766, loss: 0.0444 +2023-03-04 08:51:22,081 - mmseg - INFO - Iter [129150/160000] lr: 2.344e-06, eta: 1:49:43, time: 0.171, data_time: 0.007, memory: 52541, decode.loss_ce: 0.0429, decode.acc_seg: 98.1661, loss: 0.0429 +2023-03-04 08:51:30,609 - mmseg - INFO - Iter [129200/160000] lr: 2.344e-06, eta: 1:49:32, time: 0.171, data_time: 0.007, memory: 52541, decode.loss_ce: 0.0450, decode.acc_seg: 98.0374, loss: 0.0450 +2023-03-04 08:51:39,375 - mmseg - INFO - Iter [129250/160000] lr: 2.344e-06, eta: 1:49:20, time: 0.175, data_time: 0.007, memory: 52541, decode.loss_ce: 0.0406, decode.acc_seg: 98.2005, loss: 0.0406 +2023-03-04 08:51:47,862 - mmseg - INFO - Iter [129300/160000] lr: 2.344e-06, eta: 1:49:09, time: 0.170, data_time: 0.008, memory: 52541, decode.loss_ce: 0.0420, decode.acc_seg: 98.1824, loss: 0.0420 +2023-03-04 08:51:56,377 - mmseg - INFO - Iter [129350/160000] lr: 2.344e-06, eta: 1:48:58, time: 0.170, data_time: 0.007, memory: 52541, decode.loss_ce: 0.0429, decode.acc_seg: 98.0950, loss: 0.0429 +2023-03-04 08:52:07,141 - mmseg - INFO - Iter [129400/160000] lr: 2.344e-06, eta: 1:48:47, time: 0.215, data_time: 0.055, memory: 52541, decode.loss_ce: 0.0417, decode.acc_seg: 98.1609, loss: 0.0417 +2023-03-04 08:52:15,654 - mmseg - INFO - Iter [129450/160000] lr: 2.344e-06, eta: 1:48:36, time: 0.170, data_time: 0.007, memory: 52541, decode.loss_ce: 0.0434, decode.acc_seg: 98.1145, loss: 0.0434 +2023-03-04 08:52:23,997 - mmseg - INFO - Iter [129500/160000] lr: 2.344e-06, eta: 1:48:25, time: 0.167, data_time: 0.008, memory: 52541, decode.loss_ce: 0.0440, decode.acc_seg: 98.0989, loss: 0.0440 +2023-03-04 08:52:32,157 - mmseg - INFO - Iter [129550/160000] lr: 2.344e-06, eta: 1:48:14, time: 0.163, data_time: 0.007, memory: 52541, decode.loss_ce: 0.0439, decode.acc_seg: 98.1217, loss: 0.0439 +2023-03-04 08:52:40,539 - mmseg - INFO - Iter [129600/160000] lr: 2.344e-06, eta: 1:48:03, time: 0.168, data_time: 0.007, memory: 52541, decode.loss_ce: 0.0453, decode.acc_seg: 98.0165, loss: 0.0453 +2023-03-04 08:52:49,030 - mmseg - INFO - Iter [129650/160000] lr: 2.344e-06, eta: 1:47:51, time: 0.169, data_time: 0.008, memory: 52541, decode.loss_ce: 0.0417, decode.acc_seg: 98.1798, loss: 0.0417 +2023-03-04 08:52:57,703 - mmseg - INFO - Iter [129700/160000] lr: 2.344e-06, eta: 1:47:40, time: 0.174, data_time: 0.007, memory: 52541, decode.loss_ce: 0.0427, decode.acc_seg: 98.1099, loss: 0.0427 +2023-03-04 08:53:06,262 - mmseg - INFO - Iter [129750/160000] lr: 2.344e-06, eta: 1:47:29, time: 0.171, data_time: 0.007, memory: 52541, decode.loss_ce: 0.0439, decode.acc_seg: 98.1014, loss: 0.0439 +2023-03-04 08:53:14,479 - mmseg - INFO - Iter [129800/160000] lr: 2.344e-06, eta: 1:47:18, time: 0.164, data_time: 0.008, memory: 52541, decode.loss_ce: 0.0445, decode.acc_seg: 98.0594, loss: 0.0445 +2023-03-04 08:53:23,042 - mmseg - INFO - Iter [129850/160000] lr: 2.344e-06, eta: 1:47:07, time: 0.171, data_time: 0.007, memory: 52541, decode.loss_ce: 0.0453, decode.acc_seg: 97.9789, loss: 0.0453 +2023-03-04 08:53:31,258 - mmseg - INFO - Iter [129900/160000] lr: 2.344e-06, eta: 1:46:56, time: 0.164, data_time: 0.007, memory: 52541, decode.loss_ce: 0.0436, decode.acc_seg: 98.1283, loss: 0.0436 +2023-03-04 08:53:39,962 - mmseg - INFO - Iter [129950/160000] lr: 2.344e-06, eta: 1:46:44, time: 0.174, data_time: 0.009, memory: 52541, decode.loss_ce: 0.0444, decode.acc_seg: 98.0795, loss: 0.0444 +2023-03-04 08:53:51,084 - mmseg - INFO - Exp name: ablation_segformer_mit_b2_segformer_head_unet_fc_small_multi_step_ade_pretrained_freeze_embed_160k_ade20k151_finetune_ema_wgt.py +2023-03-04 08:53:51,084 - mmseg - INFO - Iter [130000/160000] lr: 2.344e-06, eta: 1:46:34, time: 0.222, data_time: 0.056, memory: 52541, decode.loss_ce: 0.0420, decode.acc_seg: 98.1561, loss: 0.0420 +2023-03-04 08:53:59,398 - mmseg - INFO - Iter [130050/160000] lr: 2.344e-06, eta: 1:46:23, time: 0.167, data_time: 0.007, memory: 52541, decode.loss_ce: 0.0450, decode.acc_seg: 98.0183, loss: 0.0450 +2023-03-04 08:54:07,676 - mmseg - INFO - Iter [130100/160000] lr: 2.344e-06, eta: 1:46:11, time: 0.166, data_time: 0.007, memory: 52541, decode.loss_ce: 0.0415, decode.acc_seg: 98.1694, loss: 0.0415 +2023-03-04 08:54:15,721 - mmseg - INFO - Iter [130150/160000] lr: 2.344e-06, eta: 1:46:00, time: 0.161, data_time: 0.007, memory: 52541, decode.loss_ce: 0.0436, decode.acc_seg: 98.1005, loss: 0.0436 +2023-03-04 08:54:24,184 - mmseg - INFO - Iter [130200/160000] lr: 2.344e-06, eta: 1:45:49, time: 0.169, data_time: 0.007, memory: 52541, decode.loss_ce: 0.0416, decode.acc_seg: 98.1806, loss: 0.0416 +2023-03-04 08:54:32,230 - mmseg - INFO - Iter [130250/160000] lr: 2.344e-06, eta: 1:45:38, time: 0.161, data_time: 0.007, memory: 52541, decode.loss_ce: 0.0418, decode.acc_seg: 98.1475, loss: 0.0418 +2023-03-04 08:54:40,696 - mmseg - INFO - Iter [130300/160000] lr: 2.344e-06, eta: 1:45:27, time: 0.170, data_time: 0.008, memory: 52541, decode.loss_ce: 0.0442, decode.acc_seg: 98.0930, loss: 0.0442 +2023-03-04 08:54:48,722 - mmseg - INFO - Iter [130350/160000] lr: 2.344e-06, eta: 1:45:15, time: 0.160, data_time: 0.007, memory: 52541, decode.loss_ce: 0.0430, decode.acc_seg: 98.1223, loss: 0.0430 +2023-03-04 08:54:57,102 - mmseg - INFO - Iter [130400/160000] lr: 2.344e-06, eta: 1:45:04, time: 0.167, data_time: 0.008, memory: 52541, decode.loss_ce: 0.0416, decode.acc_seg: 98.1412, loss: 0.0416 +2023-03-04 08:55:05,821 - mmseg - INFO - Iter [130450/160000] lr: 2.344e-06, eta: 1:44:53, time: 0.175, data_time: 0.008, memory: 52541, decode.loss_ce: 0.0454, decode.acc_seg: 98.0446, loss: 0.0454 +2023-03-04 08:55:14,207 - mmseg - INFO - Iter [130500/160000] lr: 2.344e-06, eta: 1:44:42, time: 0.168, data_time: 0.008, memory: 52541, decode.loss_ce: 0.0455, decode.acc_seg: 98.0140, loss: 0.0455 +2023-03-04 08:55:22,267 - mmseg - INFO - Iter [130550/160000] lr: 2.344e-06, eta: 1:44:31, time: 0.161, data_time: 0.007, memory: 52541, decode.loss_ce: 0.0420, decode.acc_seg: 98.1701, loss: 0.0420 +2023-03-04 08:55:30,776 - mmseg - INFO - Iter [130600/160000] lr: 2.344e-06, eta: 1:44:20, time: 0.170, data_time: 0.007, memory: 52541, decode.loss_ce: 0.0469, decode.acc_seg: 97.9761, loss: 0.0469 +2023-03-04 08:55:41,787 - mmseg - INFO - Iter [130650/160000] lr: 2.344e-06, eta: 1:44:09, time: 0.220, data_time: 0.055, memory: 52541, decode.loss_ce: 0.0401, decode.acc_seg: 98.2311, loss: 0.0401 +2023-03-04 08:55:50,095 - mmseg - INFO - Iter [130700/160000] lr: 2.344e-06, eta: 1:43:58, time: 0.166, data_time: 0.007, memory: 52541, decode.loss_ce: 0.0414, decode.acc_seg: 98.1696, loss: 0.0414 +2023-03-04 08:55:58,191 - mmseg - INFO - Iter [130750/160000] lr: 2.344e-06, eta: 1:43:47, time: 0.162, data_time: 0.008, memory: 52541, decode.loss_ce: 0.0434, decode.acc_seg: 98.1452, loss: 0.0434 +2023-03-04 08:56:06,906 - mmseg - INFO - Iter [130800/160000] lr: 2.344e-06, eta: 1:43:36, time: 0.174, data_time: 0.008, memory: 52541, decode.loss_ce: 0.0420, decode.acc_seg: 98.1698, loss: 0.0420 +2023-03-04 08:56:15,233 - mmseg - INFO - Iter [130850/160000] lr: 2.344e-06, eta: 1:43:24, time: 0.167, data_time: 0.008, memory: 52541, decode.loss_ce: 0.0438, decode.acc_seg: 98.1158, loss: 0.0438 +2023-03-04 08:56:24,075 - mmseg - INFO - Iter [130900/160000] lr: 2.344e-06, eta: 1:43:13, time: 0.177, data_time: 0.008, memory: 52541, decode.loss_ce: 0.0424, decode.acc_seg: 98.1769, loss: 0.0424 +2023-03-04 08:56:32,306 - mmseg - INFO - Iter [130950/160000] lr: 2.344e-06, eta: 1:43:02, time: 0.165, data_time: 0.007, memory: 52541, decode.loss_ce: 0.0429, decode.acc_seg: 98.1436, loss: 0.0429 +2023-03-04 08:56:40,855 - mmseg - INFO - Exp name: ablation_segformer_mit_b2_segformer_head_unet_fc_small_multi_step_ade_pretrained_freeze_embed_160k_ade20k151_finetune_ema_wgt.py +2023-03-04 08:56:40,856 - mmseg - INFO - Iter [131000/160000] lr: 2.344e-06, eta: 1:42:51, time: 0.171, data_time: 0.008, memory: 52541, decode.loss_ce: 0.0401, decode.acc_seg: 98.2393, loss: 0.0401 +2023-03-04 08:56:49,253 - mmseg - INFO - Iter [131050/160000] lr: 2.344e-06, eta: 1:42:40, time: 0.168, data_time: 0.007, memory: 52541, decode.loss_ce: 0.0436, decode.acc_seg: 98.0940, loss: 0.0436 +2023-03-04 08:56:57,569 - mmseg - INFO - Iter [131100/160000] lr: 2.344e-06, eta: 1:42:29, time: 0.166, data_time: 0.007, memory: 52541, decode.loss_ce: 0.0418, decode.acc_seg: 98.1916, loss: 0.0418 +2023-03-04 08:57:05,775 - mmseg - INFO - Iter [131150/160000] lr: 2.344e-06, eta: 1:42:18, time: 0.164, data_time: 0.007, memory: 52541, decode.loss_ce: 0.0412, decode.acc_seg: 98.1639, loss: 0.0412 +2023-03-04 08:57:14,228 - mmseg - INFO - Iter [131200/160000] lr: 2.344e-06, eta: 1:42:07, time: 0.169, data_time: 0.007, memory: 52541, decode.loss_ce: 0.0404, decode.acc_seg: 98.2248, loss: 0.0404 +2023-03-04 08:57:24,978 - mmseg - INFO - Iter [131250/160000] lr: 2.344e-06, eta: 1:41:56, time: 0.215, data_time: 0.056, memory: 52541, decode.loss_ce: 0.0427, decode.acc_seg: 98.1528, loss: 0.0427 +2023-03-04 08:57:33,418 - mmseg - INFO - Iter [131300/160000] lr: 2.344e-06, eta: 1:41:45, time: 0.169, data_time: 0.007, memory: 52541, decode.loss_ce: 0.0405, decode.acc_seg: 98.2305, loss: 0.0405 +2023-03-04 08:57:42,234 - mmseg - INFO - Iter [131350/160000] lr: 2.344e-06, eta: 1:41:34, time: 0.176, data_time: 0.007, memory: 52541, decode.loss_ce: 0.0435, decode.acc_seg: 98.0926, loss: 0.0435 +2023-03-04 08:57:50,586 - mmseg - INFO - Iter [131400/160000] lr: 2.344e-06, eta: 1:41:23, time: 0.167, data_time: 0.008, memory: 52541, decode.loss_ce: 0.0425, decode.acc_seg: 98.1690, loss: 0.0425 +2023-03-04 08:57:59,108 - mmseg - INFO - Iter [131450/160000] lr: 2.344e-06, eta: 1:41:12, time: 0.170, data_time: 0.007, memory: 52541, decode.loss_ce: 0.0412, decode.acc_seg: 98.1627, loss: 0.0412 +2023-03-04 08:58:07,284 - mmseg - INFO - Iter [131500/160000] lr: 2.344e-06, eta: 1:41:00, time: 0.164, data_time: 0.008, memory: 52541, decode.loss_ce: 0.0417, decode.acc_seg: 98.2025, loss: 0.0417 +2023-03-04 08:58:15,777 - mmseg - INFO - Iter [131550/160000] lr: 2.344e-06, eta: 1:40:49, time: 0.170, data_time: 0.007, memory: 52541, decode.loss_ce: 0.0415, decode.acc_seg: 98.1660, loss: 0.0415 +2023-03-04 08:58:24,353 - mmseg - INFO - Iter [131600/160000] lr: 2.344e-06, eta: 1:40:38, time: 0.172, data_time: 0.008, memory: 52541, decode.loss_ce: 0.0426, decode.acc_seg: 98.1372, loss: 0.0426 +2023-03-04 08:58:32,754 - mmseg - INFO - Iter [131650/160000] lr: 2.344e-06, eta: 1:40:27, time: 0.168, data_time: 0.007, memory: 52541, decode.loss_ce: 0.0389, decode.acc_seg: 98.2644, loss: 0.0389 +2023-03-04 08:58:41,024 - mmseg - INFO - Iter [131700/160000] lr: 2.344e-06, eta: 1:40:16, time: 0.166, data_time: 0.008, memory: 52541, decode.loss_ce: 0.0431, decode.acc_seg: 98.0790, loss: 0.0431 +2023-03-04 08:58:49,806 - mmseg - INFO - Iter [131750/160000] lr: 2.344e-06, eta: 1:40:05, time: 0.176, data_time: 0.007, memory: 52541, decode.loss_ce: 0.0405, decode.acc_seg: 98.2276, loss: 0.0405 +2023-03-04 08:58:58,274 - mmseg - INFO - Iter [131800/160000] lr: 2.344e-06, eta: 1:39:54, time: 0.169, data_time: 0.007, memory: 52541, decode.loss_ce: 0.0422, decode.acc_seg: 98.1741, loss: 0.0422 +2023-03-04 08:59:06,690 - mmseg - INFO - Iter [131850/160000] lr: 2.344e-06, eta: 1:39:43, time: 0.168, data_time: 0.008, memory: 52541, decode.loss_ce: 0.0377, decode.acc_seg: 98.3460, loss: 0.0377 +2023-03-04 08:59:17,441 - mmseg - INFO - Iter [131900/160000] lr: 2.344e-06, eta: 1:39:32, time: 0.215, data_time: 0.054, memory: 52541, decode.loss_ce: 0.0417, decode.acc_seg: 98.2149, loss: 0.0417 +2023-03-04 08:59:26,137 - mmseg - INFO - Iter [131950/160000] lr: 2.344e-06, eta: 1:39:21, time: 0.174, data_time: 0.008, memory: 52541, decode.loss_ce: 0.0406, decode.acc_seg: 98.2000, loss: 0.0406 +2023-03-04 08:59:34,822 - mmseg - INFO - Exp name: ablation_segformer_mit_b2_segformer_head_unet_fc_small_multi_step_ade_pretrained_freeze_embed_160k_ade20k151_finetune_ema_wgt.py +2023-03-04 08:59:34,822 - mmseg - INFO - Iter [132000/160000] lr: 2.344e-06, eta: 1:39:10, time: 0.174, data_time: 0.008, memory: 52541, decode.loss_ce: 0.0408, decode.acc_seg: 98.1940, loss: 0.0408 +2023-03-04 08:59:42,978 - mmseg - INFO - Iter [132050/160000] lr: 2.344e-06, eta: 1:38:59, time: 0.163, data_time: 0.008, memory: 52541, decode.loss_ce: 0.0416, decode.acc_seg: 98.1528, loss: 0.0416 +2023-03-04 08:59:51,519 - mmseg - INFO - Iter [132100/160000] lr: 2.344e-06, eta: 1:38:48, time: 0.171, data_time: 0.007, memory: 52541, decode.loss_ce: 0.0401, decode.acc_seg: 98.2550, loss: 0.0401 +2023-03-04 09:00:00,237 - mmseg - INFO - Iter [132150/160000] lr: 2.344e-06, eta: 1:38:37, time: 0.174, data_time: 0.007, memory: 52541, decode.loss_ce: 0.0389, decode.acc_seg: 98.2793, loss: 0.0389 +2023-03-04 09:00:08,545 - mmseg - INFO - Iter [132200/160000] lr: 2.344e-06, eta: 1:38:26, time: 0.166, data_time: 0.007, memory: 52541, decode.loss_ce: 0.0410, decode.acc_seg: 98.2052, loss: 0.0410 +2023-03-04 09:00:17,207 - mmseg - INFO - Iter [132250/160000] lr: 2.344e-06, eta: 1:38:15, time: 0.173, data_time: 0.007, memory: 52541, decode.loss_ce: 0.0406, decode.acc_seg: 98.2392, loss: 0.0406 +2023-03-04 09:00:25,491 - mmseg - INFO - Iter [132300/160000] lr: 2.344e-06, eta: 1:38:04, time: 0.166, data_time: 0.007, memory: 52541, decode.loss_ce: 0.0433, decode.acc_seg: 98.1463, loss: 0.0433 +2023-03-04 09:00:33,635 - mmseg - INFO - Iter [132350/160000] lr: 2.344e-06, eta: 1:37:52, time: 0.163, data_time: 0.007, memory: 52541, decode.loss_ce: 0.0389, decode.acc_seg: 98.3107, loss: 0.0389 +2023-03-04 09:00:42,326 - mmseg - INFO - Iter [132400/160000] lr: 2.344e-06, eta: 1:37:41, time: 0.174, data_time: 0.007, memory: 52541, decode.loss_ce: 0.0430, decode.acc_seg: 98.1150, loss: 0.0430 +2023-03-04 09:00:50,538 - mmseg - INFO - Iter [132450/160000] lr: 2.344e-06, eta: 1:37:30, time: 0.164, data_time: 0.007, memory: 52541, decode.loss_ce: 0.0413, decode.acc_seg: 98.1941, loss: 0.0413 +2023-03-04 09:00:59,206 - mmseg - INFO - Iter [132500/160000] lr: 2.344e-06, eta: 1:37:19, time: 0.173, data_time: 0.008, memory: 52541, decode.loss_ce: 0.0410, decode.acc_seg: 98.1770, loss: 0.0410 +2023-03-04 09:01:10,046 - mmseg - INFO - Iter [132550/160000] lr: 2.344e-06, eta: 1:37:09, time: 0.217, data_time: 0.053, memory: 52541, decode.loss_ce: 0.0405, decode.acc_seg: 98.1835, loss: 0.0405 +2023-03-04 09:01:18,595 - mmseg - INFO - Iter [132600/160000] lr: 2.344e-06, eta: 1:36:58, time: 0.171, data_time: 0.008, memory: 52541, decode.loss_ce: 0.0406, decode.acc_seg: 98.2744, loss: 0.0406 +2023-03-04 09:01:27,178 - mmseg - INFO - Iter [132650/160000] lr: 2.344e-06, eta: 1:36:47, time: 0.171, data_time: 0.008, memory: 52541, decode.loss_ce: 0.0410, decode.acc_seg: 98.1976, loss: 0.0410 +2023-03-04 09:01:35,706 - mmseg - INFO - Iter [132700/160000] lr: 2.344e-06, eta: 1:36:36, time: 0.171, data_time: 0.007, memory: 52541, decode.loss_ce: 0.0442, decode.acc_seg: 98.0515, loss: 0.0442 +2023-03-04 09:01:44,299 - mmseg - INFO - Iter [132750/160000] lr: 2.344e-06, eta: 1:36:25, time: 0.172, data_time: 0.007, memory: 52541, decode.loss_ce: 0.0397, decode.acc_seg: 98.2286, loss: 0.0397 +2023-03-04 09:01:52,646 - mmseg - INFO - Iter [132800/160000] lr: 2.344e-06, eta: 1:36:13, time: 0.167, data_time: 0.007, memory: 52541, decode.loss_ce: 0.0410, decode.acc_seg: 98.2191, loss: 0.0410 +2023-03-04 09:02:01,054 - mmseg - INFO - Iter [132850/160000] lr: 2.344e-06, eta: 1:36:02, time: 0.168, data_time: 0.008, memory: 52541, decode.loss_ce: 0.0417, decode.acc_seg: 98.1720, loss: 0.0417 +2023-03-04 09:02:09,541 - mmseg - INFO - Iter [132900/160000] lr: 2.344e-06, eta: 1:35:51, time: 0.170, data_time: 0.008, memory: 52541, decode.loss_ce: 0.0428, decode.acc_seg: 98.1823, loss: 0.0428 +2023-03-04 09:02:17,773 - mmseg - INFO - Iter [132950/160000] lr: 2.344e-06, eta: 1:35:40, time: 0.165, data_time: 0.007, memory: 52541, decode.loss_ce: 0.0436, decode.acc_seg: 98.1134, loss: 0.0436 +2023-03-04 09:02:25,941 - mmseg - INFO - Exp name: ablation_segformer_mit_b2_segformer_head_unet_fc_small_multi_step_ade_pretrained_freeze_embed_160k_ade20k151_finetune_ema_wgt.py +2023-03-04 09:02:25,941 - mmseg - INFO - Iter [133000/160000] lr: 2.344e-06, eta: 1:35:29, time: 0.163, data_time: 0.007, memory: 52541, decode.loss_ce: 0.0438, decode.acc_seg: 98.1449, loss: 0.0438 +2023-03-04 09:02:34,141 - mmseg - INFO - Iter [133050/160000] lr: 2.344e-06, eta: 1:35:18, time: 0.164, data_time: 0.007, memory: 52541, decode.loss_ce: 0.0446, decode.acc_seg: 98.0637, loss: 0.0446 +2023-03-04 09:02:42,572 - mmseg - INFO - Iter [133100/160000] lr: 2.344e-06, eta: 1:35:07, time: 0.169, data_time: 0.007, memory: 52541, decode.loss_ce: 0.0455, decode.acc_seg: 98.0350, loss: 0.0455 +2023-03-04 09:02:53,166 - mmseg - INFO - Iter [133150/160000] lr: 2.344e-06, eta: 1:34:56, time: 0.212, data_time: 0.057, memory: 52541, decode.loss_ce: 0.0432, decode.acc_seg: 98.1464, loss: 0.0432 +2023-03-04 09:03:01,497 - mmseg - INFO - Iter [133200/160000] lr: 2.344e-06, eta: 1:34:45, time: 0.167, data_time: 0.007, memory: 52541, decode.loss_ce: 0.0428, decode.acc_seg: 98.1368, loss: 0.0428 +2023-03-04 09:03:09,635 - mmseg - INFO - Iter [133250/160000] lr: 2.344e-06, eta: 1:34:34, time: 0.163, data_time: 0.007, memory: 52541, decode.loss_ce: 0.0432, decode.acc_seg: 98.1363, loss: 0.0432 +2023-03-04 09:03:18,317 - mmseg - INFO - Iter [133300/160000] lr: 2.344e-06, eta: 1:34:23, time: 0.174, data_time: 0.007, memory: 52541, decode.loss_ce: 0.0450, decode.acc_seg: 98.0588, loss: 0.0450 +2023-03-04 09:03:26,800 - mmseg - INFO - Iter [133350/160000] lr: 2.344e-06, eta: 1:34:12, time: 0.170, data_time: 0.007, memory: 52541, decode.loss_ce: 0.0415, decode.acc_seg: 98.1733, loss: 0.0415 +2023-03-04 09:03:35,175 - mmseg - INFO - Iter [133400/160000] lr: 2.344e-06, eta: 1:34:01, time: 0.167, data_time: 0.007, memory: 52541, decode.loss_ce: 0.0417, decode.acc_seg: 98.1611, loss: 0.0417 +2023-03-04 09:03:43,329 - mmseg - INFO - Iter [133450/160000] lr: 2.344e-06, eta: 1:33:50, time: 0.163, data_time: 0.007, memory: 52541, decode.loss_ce: 0.0432, decode.acc_seg: 98.1451, loss: 0.0432 +2023-03-04 09:03:51,906 - mmseg - INFO - Iter [133500/160000] lr: 2.344e-06, eta: 1:33:39, time: 0.172, data_time: 0.008, memory: 52541, decode.loss_ce: 0.0408, decode.acc_seg: 98.1999, loss: 0.0408 +2023-03-04 09:04:00,179 - mmseg - INFO - Iter [133550/160000] lr: 2.344e-06, eta: 1:33:28, time: 0.165, data_time: 0.008, memory: 52541, decode.loss_ce: 0.0410, decode.acc_seg: 98.2200, loss: 0.0410 +2023-03-04 09:04:08,354 - mmseg - INFO - Iter [133600/160000] lr: 2.344e-06, eta: 1:33:17, time: 0.163, data_time: 0.007, memory: 52541, decode.loss_ce: 0.0412, decode.acc_seg: 98.2076, loss: 0.0412 +2023-03-04 09:04:16,855 - mmseg - INFO - Iter [133650/160000] lr: 2.344e-06, eta: 1:33:06, time: 0.170, data_time: 0.008, memory: 52541, decode.loss_ce: 0.0452, decode.acc_seg: 98.0129, loss: 0.0452 +2023-03-04 09:04:25,527 - mmseg - INFO - Iter [133700/160000] lr: 2.344e-06, eta: 1:32:55, time: 0.174, data_time: 0.007, memory: 52541, decode.loss_ce: 0.0419, decode.acc_seg: 98.1592, loss: 0.0419 +2023-03-04 09:04:33,919 - mmseg - INFO - Iter [133750/160000] lr: 2.344e-06, eta: 1:32:44, time: 0.168, data_time: 0.007, memory: 52541, decode.loss_ce: 0.0396, decode.acc_seg: 98.2658, loss: 0.0396 +2023-03-04 09:04:44,703 - mmseg - INFO - Iter [133800/160000] lr: 2.344e-06, eta: 1:32:33, time: 0.215, data_time: 0.054, memory: 52541, decode.loss_ce: 0.0402, decode.acc_seg: 98.2132, loss: 0.0402 +2023-03-04 09:04:53,148 - mmseg - INFO - Iter [133850/160000] lr: 2.344e-06, eta: 1:32:22, time: 0.169, data_time: 0.008, memory: 52541, decode.loss_ce: 0.0420, decode.acc_seg: 98.1640, loss: 0.0420 +2023-03-04 09:05:01,442 - mmseg - INFO - Iter [133900/160000] lr: 2.344e-06, eta: 1:32:11, time: 0.166, data_time: 0.008, memory: 52541, decode.loss_ce: 0.0443, decode.acc_seg: 98.1055, loss: 0.0443 +2023-03-04 09:05:09,669 - mmseg - INFO - Iter [133950/160000] lr: 2.344e-06, eta: 1:32:00, time: 0.165, data_time: 0.007, memory: 52541, decode.loss_ce: 0.0426, decode.acc_seg: 98.1673, loss: 0.0426 +2023-03-04 09:05:17,936 - mmseg - INFO - Exp name: ablation_segformer_mit_b2_segformer_head_unet_fc_small_multi_step_ade_pretrained_freeze_embed_160k_ade20k151_finetune_ema_wgt.py +2023-03-04 09:05:17,936 - mmseg - INFO - Iter [134000/160000] lr: 2.344e-06, eta: 1:31:49, time: 0.165, data_time: 0.008, memory: 52541, decode.loss_ce: 0.0410, decode.acc_seg: 98.1691, loss: 0.0410 +2023-03-04 09:05:26,193 - mmseg - INFO - Iter [134050/160000] lr: 2.344e-06, eta: 1:31:38, time: 0.165, data_time: 0.008, memory: 52541, decode.loss_ce: 0.0401, decode.acc_seg: 98.2367, loss: 0.0401 +2023-03-04 09:05:34,704 - mmseg - INFO - Iter [134100/160000] lr: 2.344e-06, eta: 1:31:27, time: 0.170, data_time: 0.007, memory: 52541, decode.loss_ce: 0.0417, decode.acc_seg: 98.1778, loss: 0.0417 +2023-03-04 09:05:43,251 - mmseg - INFO - Iter [134150/160000] lr: 2.344e-06, eta: 1:31:16, time: 0.171, data_time: 0.007, memory: 52541, decode.loss_ce: 0.0415, decode.acc_seg: 98.1625, loss: 0.0415 +2023-03-04 09:05:51,731 - mmseg - INFO - Iter [134200/160000] lr: 2.344e-06, eta: 1:31:05, time: 0.170, data_time: 0.007, memory: 52541, decode.loss_ce: 0.0417, decode.acc_seg: 98.1675, loss: 0.0417 +2023-03-04 09:05:59,757 - mmseg - INFO - Iter [134250/160000] lr: 2.344e-06, eta: 1:30:54, time: 0.160, data_time: 0.007, memory: 52541, decode.loss_ce: 0.0409, decode.acc_seg: 98.2090, loss: 0.0409 +2023-03-04 09:06:08,607 - mmseg - INFO - Iter [134300/160000] lr: 2.344e-06, eta: 1:30:43, time: 0.177, data_time: 0.007, memory: 52541, decode.loss_ce: 0.0422, decode.acc_seg: 98.1588, loss: 0.0422 +2023-03-04 09:06:16,735 - mmseg - INFO - Iter [134350/160000] lr: 2.344e-06, eta: 1:30:32, time: 0.163, data_time: 0.008, memory: 52541, decode.loss_ce: 0.0436, decode.acc_seg: 98.1258, loss: 0.0436 +2023-03-04 09:06:24,902 - mmseg - INFO - Iter [134400/160000] lr: 2.344e-06, eta: 1:30:21, time: 0.163, data_time: 0.007, memory: 52541, decode.loss_ce: 0.0416, decode.acc_seg: 98.1833, loss: 0.0416 +2023-03-04 09:06:35,813 - mmseg - INFO - Iter [134450/160000] lr: 2.344e-06, eta: 1:30:10, time: 0.218, data_time: 0.056, memory: 52541, decode.loss_ce: 0.0445, decode.acc_seg: 98.1123, loss: 0.0445 +2023-03-04 09:06:44,450 - mmseg - INFO - Iter [134500/160000] lr: 2.344e-06, eta: 1:29:59, time: 0.173, data_time: 0.007, memory: 52541, decode.loss_ce: 0.0435, decode.acc_seg: 98.0635, loss: 0.0435 +2023-03-04 09:06:52,957 - mmseg - INFO - Iter [134550/160000] lr: 2.344e-06, eta: 1:29:48, time: 0.170, data_time: 0.007, memory: 52541, decode.loss_ce: 0.0439, decode.acc_seg: 98.1489, loss: 0.0439 +2023-03-04 09:07:01,339 - mmseg - INFO - Iter [134600/160000] lr: 2.344e-06, eta: 1:29:37, time: 0.168, data_time: 0.007, memory: 52541, decode.loss_ce: 0.0398, decode.acc_seg: 98.2372, loss: 0.0398 +2023-03-04 09:07:10,036 - mmseg - INFO - Iter [134650/160000] lr: 2.344e-06, eta: 1:29:27, time: 0.174, data_time: 0.009, memory: 52541, decode.loss_ce: 0.0422, decode.acc_seg: 98.1632, loss: 0.0422 +2023-03-04 09:07:18,614 - mmseg - INFO - Iter [134700/160000] lr: 2.344e-06, eta: 1:29:16, time: 0.172, data_time: 0.008, memory: 52541, decode.loss_ce: 0.0405, decode.acc_seg: 98.2289, loss: 0.0405 +2023-03-04 09:07:27,121 - mmseg - INFO - Iter [134750/160000] lr: 2.344e-06, eta: 1:29:05, time: 0.170, data_time: 0.007, memory: 52541, decode.loss_ce: 0.0446, decode.acc_seg: 98.0422, loss: 0.0446 +2023-03-04 09:07:35,639 - mmseg - INFO - Iter [134800/160000] lr: 2.344e-06, eta: 1:28:54, time: 0.170, data_time: 0.007, memory: 52541, decode.loss_ce: 0.0418, decode.acc_seg: 98.1891, loss: 0.0418 +2023-03-04 09:07:43,709 - mmseg - INFO - Iter [134850/160000] lr: 2.344e-06, eta: 1:28:43, time: 0.161, data_time: 0.007, memory: 52541, decode.loss_ce: 0.0399, decode.acc_seg: 98.2282, loss: 0.0399 +2023-03-04 09:07:52,402 - mmseg - INFO - Iter [134900/160000] lr: 2.344e-06, eta: 1:28:32, time: 0.174, data_time: 0.008, memory: 52541, decode.loss_ce: 0.0412, decode.acc_seg: 98.1898, loss: 0.0412 +2023-03-04 09:08:00,582 - mmseg - INFO - Iter [134950/160000] lr: 2.344e-06, eta: 1:28:21, time: 0.164, data_time: 0.008, memory: 52541, decode.loss_ce: 0.0391, decode.acc_seg: 98.2450, loss: 0.0391 +2023-03-04 09:08:09,042 - mmseg - INFO - Exp name: ablation_segformer_mit_b2_segformer_head_unet_fc_small_multi_step_ade_pretrained_freeze_embed_160k_ade20k151_finetune_ema_wgt.py +2023-03-04 09:08:09,042 - mmseg - INFO - Iter [135000/160000] lr: 2.344e-06, eta: 1:28:10, time: 0.169, data_time: 0.008, memory: 52541, decode.loss_ce: 0.0401, decode.acc_seg: 98.2291, loss: 0.0401 +2023-03-04 09:08:19,826 - mmseg - INFO - Iter [135050/160000] lr: 2.344e-06, eta: 1:27:59, time: 0.216, data_time: 0.054, memory: 52541, decode.loss_ce: 0.0419, decode.acc_seg: 98.1752, loss: 0.0419 +2023-03-04 09:08:28,190 - mmseg - INFO - Iter [135100/160000] lr: 2.344e-06, eta: 1:27:48, time: 0.167, data_time: 0.007, memory: 52541, decode.loss_ce: 0.0421, decode.acc_seg: 98.1506, loss: 0.0421 +2023-03-04 09:08:36,729 - mmseg - INFO - Iter [135150/160000] lr: 2.344e-06, eta: 1:27:37, time: 0.171, data_time: 0.008, memory: 52541, decode.loss_ce: 0.0422, decode.acc_seg: 98.1462, loss: 0.0422 +2023-03-04 09:08:44,895 - mmseg - INFO - Iter [135200/160000] lr: 2.344e-06, eta: 1:27:26, time: 0.163, data_time: 0.008, memory: 52541, decode.loss_ce: 0.0404, decode.acc_seg: 98.1856, loss: 0.0404 +2023-03-04 09:08:53,490 - mmseg - INFO - Iter [135250/160000] lr: 2.344e-06, eta: 1:27:15, time: 0.172, data_time: 0.007, memory: 52541, decode.loss_ce: 0.0395, decode.acc_seg: 98.2220, loss: 0.0395 +2023-03-04 09:09:02,203 - mmseg - INFO - Iter [135300/160000] lr: 2.344e-06, eta: 1:27:04, time: 0.174, data_time: 0.007, memory: 52541, decode.loss_ce: 0.0402, decode.acc_seg: 98.2439, loss: 0.0402 +2023-03-04 09:09:10,789 - mmseg - INFO - Iter [135350/160000] lr: 2.344e-06, eta: 1:26:53, time: 0.172, data_time: 0.008, memory: 52541, decode.loss_ce: 0.0411, decode.acc_seg: 98.1841, loss: 0.0411 +2023-03-04 09:09:19,024 - mmseg - INFO - Iter [135400/160000] lr: 2.344e-06, eta: 1:26:42, time: 0.165, data_time: 0.008, memory: 52541, decode.loss_ce: 0.0414, decode.acc_seg: 98.1832, loss: 0.0414 +2023-03-04 09:09:27,489 - mmseg - INFO - Iter [135450/160000] lr: 2.344e-06, eta: 1:26:31, time: 0.169, data_time: 0.008, memory: 52541, decode.loss_ce: 0.0409, decode.acc_seg: 98.2090, loss: 0.0409 +2023-03-04 09:09:35,637 - mmseg - INFO - Iter [135500/160000] lr: 2.344e-06, eta: 1:26:20, time: 0.163, data_time: 0.008, memory: 52541, decode.loss_ce: 0.0404, decode.acc_seg: 98.2215, loss: 0.0404 +2023-03-04 09:09:44,232 - mmseg - INFO - Iter [135550/160000] lr: 2.344e-06, eta: 1:26:09, time: 0.172, data_time: 0.007, memory: 52541, decode.loss_ce: 0.0414, decode.acc_seg: 98.1809, loss: 0.0414 +2023-03-04 09:09:52,538 - mmseg - INFO - Iter [135600/160000] lr: 2.344e-06, eta: 1:25:58, time: 0.166, data_time: 0.008, memory: 52541, decode.loss_ce: 0.0401, decode.acc_seg: 98.2352, loss: 0.0401 +2023-03-04 09:10:01,005 - mmseg - INFO - Iter [135650/160000] lr: 2.344e-06, eta: 1:25:48, time: 0.169, data_time: 0.007, memory: 52541, decode.loss_ce: 0.0393, decode.acc_seg: 98.2535, loss: 0.0393 +2023-03-04 09:10:11,635 - mmseg - INFO - Iter [135700/160000] lr: 2.344e-06, eta: 1:25:37, time: 0.213, data_time: 0.055, memory: 52541, decode.loss_ce: 0.0395, decode.acc_seg: 98.2587, loss: 0.0395 +2023-03-04 09:10:19,859 - mmseg - INFO - Iter [135750/160000] lr: 2.344e-06, eta: 1:25:26, time: 0.164, data_time: 0.007, memory: 52541, decode.loss_ce: 0.0436, decode.acc_seg: 98.0975, loss: 0.0436 +2023-03-04 09:10:28,200 - mmseg - INFO - Iter [135800/160000] lr: 2.344e-06, eta: 1:25:15, time: 0.167, data_time: 0.007, memory: 52541, decode.loss_ce: 0.0440, decode.acc_seg: 98.0857, loss: 0.0440 +2023-03-04 09:10:36,644 - mmseg - INFO - Iter [135850/160000] lr: 2.344e-06, eta: 1:25:04, time: 0.169, data_time: 0.008, memory: 52541, decode.loss_ce: 0.0423, decode.acc_seg: 98.1364, loss: 0.0423 +2023-03-04 09:10:45,468 - mmseg - INFO - Iter [135900/160000] lr: 2.344e-06, eta: 1:24:53, time: 0.176, data_time: 0.008, memory: 52541, decode.loss_ce: 0.0413, decode.acc_seg: 98.2002, loss: 0.0413 +2023-03-04 09:10:53,639 - mmseg - INFO - Iter [135950/160000] lr: 2.344e-06, eta: 1:24:42, time: 0.163, data_time: 0.007, memory: 52541, decode.loss_ce: 0.0394, decode.acc_seg: 98.2278, loss: 0.0394 +2023-03-04 09:11:02,012 - mmseg - INFO - Exp name: ablation_segformer_mit_b2_segformer_head_unet_fc_small_multi_step_ade_pretrained_freeze_embed_160k_ade20k151_finetune_ema_wgt.py +2023-03-04 09:11:02,012 - mmseg - INFO - Iter [136000/160000] lr: 2.344e-06, eta: 1:24:31, time: 0.167, data_time: 0.008, memory: 52541, decode.loss_ce: 0.0407, decode.acc_seg: 98.2020, loss: 0.0407 +2023-03-04 09:11:10,247 - mmseg - INFO - Iter [136050/160000] lr: 2.344e-06, eta: 1:24:20, time: 0.164, data_time: 0.007, memory: 52541, decode.loss_ce: 0.0432, decode.acc_seg: 98.1133, loss: 0.0432 +2023-03-04 09:11:18,868 - mmseg - INFO - Iter [136100/160000] lr: 2.344e-06, eta: 1:24:09, time: 0.172, data_time: 0.008, memory: 52541, decode.loss_ce: 0.0421, decode.acc_seg: 98.1685, loss: 0.0421 +2023-03-04 09:11:27,596 - mmseg - INFO - Iter [136150/160000] lr: 2.344e-06, eta: 1:23:58, time: 0.175, data_time: 0.007, memory: 52541, decode.loss_ce: 0.0416, decode.acc_seg: 98.1443, loss: 0.0416 +2023-03-04 09:11:36,123 - mmseg - INFO - Iter [136200/160000] lr: 2.344e-06, eta: 1:23:48, time: 0.170, data_time: 0.007, memory: 52541, decode.loss_ce: 0.0416, decode.acc_seg: 98.1799, loss: 0.0416 +2023-03-04 09:11:44,268 - mmseg - INFO - Iter [136250/160000] lr: 2.344e-06, eta: 1:23:37, time: 0.163, data_time: 0.008, memory: 52541, decode.loss_ce: 0.0392, decode.acc_seg: 98.2479, loss: 0.0392 +2023-03-04 09:11:55,385 - mmseg - INFO - Iter [136300/160000] lr: 2.344e-06, eta: 1:23:26, time: 0.222, data_time: 0.052, memory: 52541, decode.loss_ce: 0.0450, decode.acc_seg: 98.0454, loss: 0.0450 +2023-03-04 09:12:04,068 - mmseg - INFO - Iter [136350/160000] lr: 2.344e-06, eta: 1:23:15, time: 0.174, data_time: 0.007, memory: 52541, decode.loss_ce: 0.0418, decode.acc_seg: 98.1622, loss: 0.0418 +2023-03-04 09:12:12,507 - mmseg - INFO - Iter [136400/160000] lr: 2.344e-06, eta: 1:23:04, time: 0.169, data_time: 0.008, memory: 52541, decode.loss_ce: 0.0437, decode.acc_seg: 98.0913, loss: 0.0437 +2023-03-04 09:12:20,798 - mmseg - INFO - Iter [136450/160000] lr: 2.344e-06, eta: 1:22:53, time: 0.166, data_time: 0.007, memory: 52541, decode.loss_ce: 0.0413, decode.acc_seg: 98.1774, loss: 0.0413 +2023-03-04 09:12:29,665 - mmseg - INFO - Iter [136500/160000] lr: 2.344e-06, eta: 1:22:42, time: 0.177, data_time: 0.008, memory: 52541, decode.loss_ce: 0.0404, decode.acc_seg: 98.2537, loss: 0.0404 +2023-03-04 09:12:38,389 - mmseg - INFO - Iter [136550/160000] lr: 2.344e-06, eta: 1:22:32, time: 0.175, data_time: 0.007, memory: 52541, decode.loss_ce: 0.0420, decode.acc_seg: 98.1823, loss: 0.0420 +2023-03-04 09:12:46,499 - mmseg - INFO - Iter [136600/160000] lr: 2.344e-06, eta: 1:22:21, time: 0.162, data_time: 0.007, memory: 52541, decode.loss_ce: 0.0412, decode.acc_seg: 98.1593, loss: 0.0412 +2023-03-04 09:12:54,769 - mmseg - INFO - Iter [136650/160000] lr: 2.344e-06, eta: 1:22:10, time: 0.165, data_time: 0.007, memory: 52541, decode.loss_ce: 0.0404, decode.acc_seg: 98.2176, loss: 0.0404 +2023-03-04 09:13:03,137 - mmseg - INFO - Iter [136700/160000] lr: 2.344e-06, eta: 1:21:59, time: 0.168, data_time: 0.007, memory: 52541, decode.loss_ce: 0.0443, decode.acc_seg: 98.0947, loss: 0.0443 +2023-03-04 09:13:11,881 - mmseg - INFO - Iter [136750/160000] lr: 2.344e-06, eta: 1:21:48, time: 0.175, data_time: 0.008, memory: 52541, decode.loss_ce: 0.0403, decode.acc_seg: 98.2107, loss: 0.0403 +2023-03-04 09:13:20,180 - mmseg - INFO - Iter [136800/160000] lr: 2.344e-06, eta: 1:21:37, time: 0.166, data_time: 0.007, memory: 52541, decode.loss_ce: 0.0426, decode.acc_seg: 98.1327, loss: 0.0426 +2023-03-04 09:13:28,949 - mmseg - INFO - Iter [136850/160000] lr: 2.344e-06, eta: 1:21:26, time: 0.175, data_time: 0.007, memory: 52541, decode.loss_ce: 0.0415, decode.acc_seg: 98.1939, loss: 0.0415 +2023-03-04 09:13:37,101 - mmseg - INFO - Iter [136900/160000] lr: 2.344e-06, eta: 1:21:15, time: 0.163, data_time: 0.008, memory: 52541, decode.loss_ce: 0.0412, decode.acc_seg: 98.1778, loss: 0.0412 +2023-03-04 09:13:47,944 - mmseg - INFO - Iter [136950/160000] lr: 2.344e-06, eta: 1:21:05, time: 0.217, data_time: 0.056, memory: 52541, decode.loss_ce: 0.0408, decode.acc_seg: 98.1682, loss: 0.0408 +2023-03-04 09:13:56,141 - mmseg - INFO - Exp name: ablation_segformer_mit_b2_segformer_head_unet_fc_small_multi_step_ade_pretrained_freeze_embed_160k_ade20k151_finetune_ema_wgt.py +2023-03-04 09:13:56,141 - mmseg - INFO - Iter [137000/160000] lr: 2.344e-06, eta: 1:20:54, time: 0.164, data_time: 0.008, memory: 52541, decode.loss_ce: 0.0408, decode.acc_seg: 98.1688, loss: 0.0408 +2023-03-04 09:14:04,367 - mmseg - INFO - Iter [137050/160000] lr: 2.344e-06, eta: 1:20:43, time: 0.165, data_time: 0.008, memory: 52541, decode.loss_ce: 0.0458, decode.acc_seg: 98.0128, loss: 0.0458 +2023-03-04 09:14:12,479 - mmseg - INFO - Iter [137100/160000] lr: 2.344e-06, eta: 1:20:32, time: 0.162, data_time: 0.007, memory: 52541, decode.loss_ce: 0.0419, decode.acc_seg: 98.1552, loss: 0.0419 +2023-03-04 09:14:20,704 - mmseg - INFO - Iter [137150/160000] lr: 2.344e-06, eta: 1:20:21, time: 0.164, data_time: 0.008, memory: 52541, decode.loss_ce: 0.0431, decode.acc_seg: 98.1574, loss: 0.0431 +2023-03-04 09:14:29,456 - mmseg - INFO - Iter [137200/160000] lr: 2.344e-06, eta: 1:20:10, time: 0.175, data_time: 0.007, memory: 52541, decode.loss_ce: 0.0408, decode.acc_seg: 98.2050, loss: 0.0408 +2023-03-04 09:14:37,928 - mmseg - INFO - Iter [137250/160000] lr: 2.344e-06, eta: 1:19:59, time: 0.169, data_time: 0.007, memory: 52541, decode.loss_ce: 0.0403, decode.acc_seg: 98.2182, loss: 0.0403 +2023-03-04 09:14:46,284 - mmseg - INFO - Iter [137300/160000] lr: 2.344e-06, eta: 1:19:48, time: 0.167, data_time: 0.007, memory: 52541, decode.loss_ce: 0.0440, decode.acc_seg: 98.1339, loss: 0.0440 +2023-03-04 09:14:55,019 - mmseg - INFO - Iter [137350/160000] lr: 2.344e-06, eta: 1:19:37, time: 0.175, data_time: 0.007, memory: 52541, decode.loss_ce: 0.0417, decode.acc_seg: 98.1316, loss: 0.0417 +2023-03-04 09:15:03,412 - mmseg - INFO - Iter [137400/160000] lr: 2.344e-06, eta: 1:19:26, time: 0.168, data_time: 0.007, memory: 52541, decode.loss_ce: 0.0395, decode.acc_seg: 98.2650, loss: 0.0395 +2023-03-04 09:15:11,847 - mmseg - INFO - Iter [137450/160000] lr: 2.344e-06, eta: 1:19:16, time: 0.169, data_time: 0.007, memory: 52541, decode.loss_ce: 0.0400, decode.acc_seg: 98.2453, loss: 0.0400 +2023-03-04 09:15:20,511 - mmseg - INFO - Iter [137500/160000] lr: 2.344e-06, eta: 1:19:05, time: 0.174, data_time: 0.007, memory: 52541, decode.loss_ce: 0.0411, decode.acc_seg: 98.1925, loss: 0.0411 +2023-03-04 09:15:29,199 - mmseg - INFO - Iter [137550/160000] lr: 2.344e-06, eta: 1:18:54, time: 0.174, data_time: 0.007, memory: 52541, decode.loss_ce: 0.0421, decode.acc_seg: 98.1165, loss: 0.0421 +2023-03-04 09:15:40,061 - mmseg - INFO - Iter [137600/160000] lr: 2.344e-06, eta: 1:18:43, time: 0.217, data_time: 0.058, memory: 52541, decode.loss_ce: 0.0426, decode.acc_seg: 98.1380, loss: 0.0426 +2023-03-04 09:15:48,415 - mmseg - INFO - Iter [137650/160000] lr: 2.344e-06, eta: 1:18:32, time: 0.167, data_time: 0.007, memory: 52541, decode.loss_ce: 0.0409, decode.acc_seg: 98.2006, loss: 0.0409 +2023-03-04 09:15:56,750 - mmseg - INFO - Iter [137700/160000] lr: 2.344e-06, eta: 1:18:22, time: 0.167, data_time: 0.007, memory: 52541, decode.loss_ce: 0.0402, decode.acc_seg: 98.2113, loss: 0.0402 +2023-03-04 09:16:04,893 - mmseg - INFO - Iter [137750/160000] lr: 2.344e-06, eta: 1:18:11, time: 0.163, data_time: 0.007, memory: 52541, decode.loss_ce: 0.0402, decode.acc_seg: 98.2335, loss: 0.0402 +2023-03-04 09:16:13,343 - mmseg - INFO - Iter [137800/160000] lr: 2.344e-06, eta: 1:18:00, time: 0.169, data_time: 0.007, memory: 52541, decode.loss_ce: 0.0420, decode.acc_seg: 98.1731, loss: 0.0420 +2023-03-04 09:16:21,526 - mmseg - INFO - Iter [137850/160000] lr: 2.344e-06, eta: 1:17:49, time: 0.164, data_time: 0.008, memory: 52541, decode.loss_ce: 0.0412, decode.acc_seg: 98.2026, loss: 0.0412 +2023-03-04 09:16:30,257 - mmseg - INFO - Iter [137900/160000] lr: 2.344e-06, eta: 1:17:38, time: 0.175, data_time: 0.008, memory: 52541, decode.loss_ce: 0.0423, decode.acc_seg: 98.1368, loss: 0.0423 +2023-03-04 09:16:38,904 - mmseg - INFO - Iter [137950/160000] lr: 2.344e-06, eta: 1:17:27, time: 0.173, data_time: 0.007, memory: 52541, decode.loss_ce: 0.0414, decode.acc_seg: 98.1712, loss: 0.0414 +2023-03-04 09:16:47,551 - mmseg - INFO - Exp name: ablation_segformer_mit_b2_segformer_head_unet_fc_small_multi_step_ade_pretrained_freeze_embed_160k_ade20k151_finetune_ema_wgt.py +2023-03-04 09:16:47,551 - mmseg - INFO - Iter [138000/160000] lr: 2.344e-06, eta: 1:17:16, time: 0.173, data_time: 0.007, memory: 52541, decode.loss_ce: 0.0413, decode.acc_seg: 98.1966, loss: 0.0413 +2023-03-04 09:16:55,874 - mmseg - INFO - Iter [138050/160000] lr: 2.344e-06, eta: 1:17:05, time: 0.166, data_time: 0.007, memory: 52541, decode.loss_ce: 0.0410, decode.acc_seg: 98.2013, loss: 0.0410 +2023-03-04 09:17:04,375 - mmseg - INFO - Iter [138100/160000] lr: 2.344e-06, eta: 1:16:55, time: 0.170, data_time: 0.008, memory: 52541, decode.loss_ce: 0.0439, decode.acc_seg: 98.0783, loss: 0.0439 +2023-03-04 09:17:12,540 - mmseg - INFO - Iter [138150/160000] lr: 2.344e-06, eta: 1:16:44, time: 0.163, data_time: 0.008, memory: 52541, decode.loss_ce: 0.0422, decode.acc_seg: 98.1770, loss: 0.0422 +2023-03-04 09:17:23,489 - mmseg - INFO - Iter [138200/160000] lr: 2.344e-06, eta: 1:16:33, time: 0.219, data_time: 0.055, memory: 52541, decode.loss_ce: 0.0400, decode.acc_seg: 98.2552, loss: 0.0400 +2023-03-04 09:17:32,200 - mmseg - INFO - Iter [138250/160000] lr: 2.344e-06, eta: 1:16:22, time: 0.174, data_time: 0.007, memory: 52541, decode.loss_ce: 0.0417, decode.acc_seg: 98.1987, loss: 0.0417 +2023-03-04 09:17:40,660 - mmseg - INFO - Iter [138300/160000] lr: 2.344e-06, eta: 1:16:11, time: 0.169, data_time: 0.007, memory: 52541, decode.loss_ce: 0.0394, decode.acc_seg: 98.2867, loss: 0.0394 +2023-03-04 09:17:48,731 - mmseg - INFO - Iter [138350/160000] lr: 2.344e-06, eta: 1:16:01, time: 0.161, data_time: 0.007, memory: 52541, decode.loss_ce: 0.0458, decode.acc_seg: 98.0193, loss: 0.0458 +2023-03-04 09:17:56,814 - mmseg - INFO - Iter [138400/160000] lr: 2.344e-06, eta: 1:15:50, time: 0.162, data_time: 0.007, memory: 52541, decode.loss_ce: 0.0429, decode.acc_seg: 98.1450, loss: 0.0429 +2023-03-04 09:18:05,612 - mmseg - INFO - Iter [138450/160000] lr: 2.344e-06, eta: 1:15:39, time: 0.176, data_time: 0.007, memory: 52541, decode.loss_ce: 0.0416, decode.acc_seg: 98.1861, loss: 0.0416 +2023-03-04 09:18:13,880 - mmseg - INFO - Iter [138500/160000] lr: 2.344e-06, eta: 1:15:28, time: 0.165, data_time: 0.007, memory: 52541, decode.loss_ce: 0.0427, decode.acc_seg: 98.1585, loss: 0.0427 +2023-03-04 09:18:21,948 - mmseg - INFO - Iter [138550/160000] lr: 2.344e-06, eta: 1:15:17, time: 0.161, data_time: 0.008, memory: 52541, decode.loss_ce: 0.0415, decode.acc_seg: 98.1703, loss: 0.0415 +2023-03-04 09:18:30,558 - mmseg - INFO - Iter [138600/160000] lr: 2.344e-06, eta: 1:15:06, time: 0.172, data_time: 0.008, memory: 52541, decode.loss_ce: 0.0414, decode.acc_seg: 98.1534, loss: 0.0414 +2023-03-04 09:18:38,800 - mmseg - INFO - Iter [138650/160000] lr: 2.344e-06, eta: 1:14:55, time: 0.165, data_time: 0.008, memory: 52541, decode.loss_ce: 0.0460, decode.acc_seg: 98.0102, loss: 0.0460 +2023-03-04 09:18:47,257 - mmseg - INFO - Iter [138700/160000] lr: 2.344e-06, eta: 1:14:44, time: 0.169, data_time: 0.007, memory: 52541, decode.loss_ce: 0.0454, decode.acc_seg: 98.0455, loss: 0.0454 +2023-03-04 09:18:55,790 - mmseg - INFO - Iter [138750/160000] lr: 2.344e-06, eta: 1:14:34, time: 0.171, data_time: 0.007, memory: 52541, decode.loss_ce: 0.0437, decode.acc_seg: 98.0567, loss: 0.0437 +2023-03-04 09:19:04,016 - mmseg - INFO - Iter [138800/160000] lr: 2.344e-06, eta: 1:14:23, time: 0.165, data_time: 0.008, memory: 52541, decode.loss_ce: 0.0423, decode.acc_seg: 98.1582, loss: 0.0423 +2023-03-04 09:19:14,709 - mmseg - INFO - Iter [138850/160000] lr: 2.344e-06, eta: 1:14:12, time: 0.214, data_time: 0.059, memory: 52541, decode.loss_ce: 0.0419, decode.acc_seg: 98.1578, loss: 0.0419 +2023-03-04 09:19:22,935 - mmseg - INFO - Iter [138900/160000] lr: 2.344e-06, eta: 1:14:01, time: 0.165, data_time: 0.008, memory: 52541, decode.loss_ce: 0.0406, decode.acc_seg: 98.2442, loss: 0.0406 +2023-03-04 09:19:31,598 - mmseg - INFO - Iter [138950/160000] lr: 2.344e-06, eta: 1:13:51, time: 0.173, data_time: 0.007, memory: 52541, decode.loss_ce: 0.0435, decode.acc_seg: 98.0941, loss: 0.0435 +2023-03-04 09:19:39,834 - mmseg - INFO - Exp name: ablation_segformer_mit_b2_segformer_head_unet_fc_small_multi_step_ade_pretrained_freeze_embed_160k_ade20k151_finetune_ema_wgt.py +2023-03-04 09:19:39,834 - mmseg - INFO - Iter [139000/160000] lr: 2.344e-06, eta: 1:13:40, time: 0.165, data_time: 0.007, memory: 52541, decode.loss_ce: 0.0429, decode.acc_seg: 98.1443, loss: 0.0429 +2023-03-04 09:19:48,191 - mmseg - INFO - Iter [139050/160000] lr: 2.344e-06, eta: 1:13:29, time: 0.167, data_time: 0.007, memory: 52541, decode.loss_ce: 0.0417, decode.acc_seg: 98.1619, loss: 0.0417 +2023-03-04 09:19:56,594 - mmseg - INFO - Iter [139100/160000] lr: 2.344e-06, eta: 1:13:18, time: 0.168, data_time: 0.007, memory: 52541, decode.loss_ce: 0.0437, decode.acc_seg: 98.0997, loss: 0.0437 +2023-03-04 09:20:05,044 - mmseg - INFO - Iter [139150/160000] lr: 2.344e-06, eta: 1:13:07, time: 0.169, data_time: 0.007, memory: 52541, decode.loss_ce: 0.0409, decode.acc_seg: 98.2094, loss: 0.0409 +2023-03-04 09:20:13,818 - mmseg - INFO - Iter [139200/160000] lr: 2.344e-06, eta: 1:12:56, time: 0.175, data_time: 0.007, memory: 52541, decode.loss_ce: 0.0443, decode.acc_seg: 98.0949, loss: 0.0443 +2023-03-04 09:20:22,597 - mmseg - INFO - Iter [139250/160000] lr: 2.344e-06, eta: 1:12:46, time: 0.175, data_time: 0.008, memory: 52541, decode.loss_ce: 0.0408, decode.acc_seg: 98.2057, loss: 0.0408 +2023-03-04 09:20:31,078 - mmseg - INFO - Iter [139300/160000] lr: 2.344e-06, eta: 1:12:35, time: 0.170, data_time: 0.007, memory: 52541, decode.loss_ce: 0.0436, decode.acc_seg: 98.0908, loss: 0.0436 +2023-03-04 09:20:39,256 - mmseg - INFO - Iter [139350/160000] lr: 2.344e-06, eta: 1:12:24, time: 0.164, data_time: 0.007, memory: 52541, decode.loss_ce: 0.0425, decode.acc_seg: 98.1182, loss: 0.0425 +2023-03-04 09:20:48,118 - mmseg - INFO - Iter [139400/160000] lr: 2.344e-06, eta: 1:12:13, time: 0.177, data_time: 0.007, memory: 52541, decode.loss_ce: 0.0430, decode.acc_seg: 98.1201, loss: 0.0430 +2023-03-04 09:20:56,575 - mmseg - INFO - Iter [139450/160000] lr: 2.344e-06, eta: 1:12:02, time: 0.169, data_time: 0.008, memory: 52541, decode.loss_ce: 0.0414, decode.acc_seg: 98.1751, loss: 0.0414 +2023-03-04 09:21:07,766 - mmseg - INFO - Iter [139500/160000] lr: 2.344e-06, eta: 1:11:52, time: 0.224, data_time: 0.055, memory: 52541, decode.loss_ce: 0.0420, decode.acc_seg: 98.1829, loss: 0.0420 +2023-03-04 09:21:15,819 - mmseg - INFO - Iter [139550/160000] lr: 2.344e-06, eta: 1:11:41, time: 0.161, data_time: 0.007, memory: 52541, decode.loss_ce: 0.0397, decode.acc_seg: 98.2222, loss: 0.0397 +2023-03-04 09:21:24,408 - mmseg - INFO - Iter [139600/160000] lr: 2.344e-06, eta: 1:11:30, time: 0.172, data_time: 0.008, memory: 52541, decode.loss_ce: 0.0428, decode.acc_seg: 98.1176, loss: 0.0428 +2023-03-04 09:21:32,744 - mmseg - INFO - Iter [139650/160000] lr: 2.344e-06, eta: 1:11:19, time: 0.167, data_time: 0.007, memory: 52541, decode.loss_ce: 0.0414, decode.acc_seg: 98.2165, loss: 0.0414 +2023-03-04 09:21:41,269 - mmseg - INFO - Iter [139700/160000] lr: 2.344e-06, eta: 1:11:09, time: 0.171, data_time: 0.008, memory: 52541, decode.loss_ce: 0.0417, decode.acc_seg: 98.1764, loss: 0.0417 +2023-03-04 09:21:49,720 - mmseg - INFO - Iter [139750/160000] lr: 2.344e-06, eta: 1:10:58, time: 0.169, data_time: 0.007, memory: 52541, decode.loss_ce: 0.0423, decode.acc_seg: 98.1376, loss: 0.0423 +2023-03-04 09:21:58,096 - mmseg - INFO - Iter [139800/160000] lr: 2.344e-06, eta: 1:10:47, time: 0.168, data_time: 0.007, memory: 52541, decode.loss_ce: 0.0382, decode.acc_seg: 98.2625, loss: 0.0382 +2023-03-04 09:22:06,636 - mmseg - INFO - Iter [139850/160000] lr: 2.344e-06, eta: 1:10:36, time: 0.171, data_time: 0.007, memory: 52541, decode.loss_ce: 0.0391, decode.acc_seg: 98.2534, loss: 0.0391 +2023-03-04 09:22:14,980 - mmseg - INFO - Iter [139900/160000] lr: 2.344e-06, eta: 1:10:25, time: 0.167, data_time: 0.008, memory: 52541, decode.loss_ce: 0.0422, decode.acc_seg: 98.1639, loss: 0.0422 +2023-03-04 09:22:23,469 - mmseg - INFO - Iter [139950/160000] lr: 2.344e-06, eta: 1:10:15, time: 0.169, data_time: 0.007, memory: 52541, decode.loss_ce: 0.0406, decode.acc_seg: 98.2124, loss: 0.0406 +2023-03-04 09:22:32,536 - mmseg - INFO - Exp name: ablation_segformer_mit_b2_segformer_head_unet_fc_small_multi_step_ade_pretrained_freeze_embed_160k_ade20k151_finetune_ema_wgt.py +2023-03-04 09:22:32,536 - mmseg - INFO - Iter [140000/160000] lr: 2.344e-06, eta: 1:10:04, time: 0.182, data_time: 0.007, memory: 52541, decode.loss_ce: 0.0440, decode.acc_seg: 98.1242, loss: 0.0440 +2023-03-04 09:22:40,819 - mmseg - INFO - Iter [140050/160000] lr: 1.172e-06, eta: 1:09:53, time: 0.166, data_time: 0.008, memory: 52541, decode.loss_ce: 0.0379, decode.acc_seg: 98.3352, loss: 0.0379 +2023-03-04 09:22:51,499 - mmseg - INFO - Iter [140100/160000] lr: 1.172e-06, eta: 1:09:43, time: 0.213, data_time: 0.055, memory: 52541, decode.loss_ce: 0.0403, decode.acc_seg: 98.2496, loss: 0.0403 +2023-03-04 09:22:59,944 - mmseg - INFO - Iter [140150/160000] lr: 1.172e-06, eta: 1:09:32, time: 0.169, data_time: 0.008, memory: 52541, decode.loss_ce: 0.0423, decode.acc_seg: 98.1378, loss: 0.0423 +2023-03-04 09:23:09,124 - mmseg - INFO - Iter [140200/160000] lr: 1.172e-06, eta: 1:09:21, time: 0.184, data_time: 0.007, memory: 52541, decode.loss_ce: 0.0401, decode.acc_seg: 98.2556, loss: 0.0401 +2023-03-04 09:23:17,180 - mmseg - INFO - Iter [140250/160000] lr: 1.172e-06, eta: 1:09:10, time: 0.161, data_time: 0.008, memory: 52541, decode.loss_ce: 0.0420, decode.acc_seg: 98.1505, loss: 0.0420 +2023-03-04 09:23:25,492 - mmseg - INFO - Iter [140300/160000] lr: 1.172e-06, eta: 1:08:59, time: 0.166, data_time: 0.008, memory: 52541, decode.loss_ce: 0.0436, decode.acc_seg: 98.0741, loss: 0.0436 +2023-03-04 09:23:33,675 - mmseg - INFO - Iter [140350/160000] lr: 1.172e-06, eta: 1:08:49, time: 0.164, data_time: 0.008, memory: 52541, decode.loss_ce: 0.0407, decode.acc_seg: 98.1944, loss: 0.0407 +2023-03-04 09:23:42,090 - mmseg - INFO - Iter [140400/160000] lr: 1.172e-06, eta: 1:08:38, time: 0.168, data_time: 0.007, memory: 52541, decode.loss_ce: 0.0415, decode.acc_seg: 98.1840, loss: 0.0415 +2023-03-04 09:23:50,595 - mmseg - INFO - Iter [140450/160000] lr: 1.172e-06, eta: 1:08:27, time: 0.170, data_time: 0.007, memory: 52541, decode.loss_ce: 0.0418, decode.acc_seg: 98.1200, loss: 0.0418 +2023-03-04 09:23:58,905 - mmseg - INFO - Iter [140500/160000] lr: 1.172e-06, eta: 1:08:16, time: 0.166, data_time: 0.007, memory: 52541, decode.loss_ce: 0.0432, decode.acc_seg: 98.1083, loss: 0.0432 +2023-03-04 09:24:07,239 - mmseg - INFO - Iter [140550/160000] lr: 1.172e-06, eta: 1:08:05, time: 0.167, data_time: 0.007, memory: 52541, decode.loss_ce: 0.0416, decode.acc_seg: 98.1464, loss: 0.0416 +2023-03-04 09:24:15,465 - mmseg - INFO - Iter [140600/160000] lr: 1.172e-06, eta: 1:07:54, time: 0.165, data_time: 0.008, memory: 52541, decode.loss_ce: 0.0408, decode.acc_seg: 98.2112, loss: 0.0408 +2023-03-04 09:24:24,209 - mmseg - INFO - Iter [140650/160000] lr: 1.172e-06, eta: 1:07:44, time: 0.175, data_time: 0.008, memory: 52541, decode.loss_ce: 0.0399, decode.acc_seg: 98.2126, loss: 0.0399 +2023-03-04 09:24:32,466 - mmseg - INFO - Iter [140700/160000] lr: 1.172e-06, eta: 1:07:33, time: 0.165, data_time: 0.007, memory: 52541, decode.loss_ce: 0.0429, decode.acc_seg: 98.1359, loss: 0.0429 +2023-03-04 09:24:43,257 - mmseg - INFO - Iter [140750/160000] lr: 1.172e-06, eta: 1:07:22, time: 0.216, data_time: 0.056, memory: 52541, decode.loss_ce: 0.0427, decode.acc_seg: 98.1595, loss: 0.0427 +2023-03-04 09:24:51,406 - mmseg - INFO - Iter [140800/160000] lr: 1.172e-06, eta: 1:07:12, time: 0.163, data_time: 0.007, memory: 52541, decode.loss_ce: 0.0434, decode.acc_seg: 98.1137, loss: 0.0434 +2023-03-04 09:25:00,001 - mmseg - INFO - Iter [140850/160000] lr: 1.172e-06, eta: 1:07:01, time: 0.172, data_time: 0.008, memory: 52541, decode.loss_ce: 0.0413, decode.acc_seg: 98.1882, loss: 0.0413 +2023-03-04 09:25:08,307 - mmseg - INFO - Iter [140900/160000] lr: 1.172e-06, eta: 1:06:50, time: 0.166, data_time: 0.007, memory: 52541, decode.loss_ce: 0.0401, decode.acc_seg: 98.2431, loss: 0.0401 +2023-03-04 09:25:16,552 - mmseg - INFO - Iter [140950/160000] lr: 1.172e-06, eta: 1:06:39, time: 0.165, data_time: 0.007, memory: 52541, decode.loss_ce: 0.0432, decode.acc_seg: 98.1187, loss: 0.0432 +2023-03-04 09:25:24,781 - mmseg - INFO - Exp name: ablation_segformer_mit_b2_segformer_head_unet_fc_small_multi_step_ade_pretrained_freeze_embed_160k_ade20k151_finetune_ema_wgt.py +2023-03-04 09:25:24,782 - mmseg - INFO - Iter [141000/160000] lr: 1.172e-06, eta: 1:06:28, time: 0.165, data_time: 0.007, memory: 52541, decode.loss_ce: 0.0418, decode.acc_seg: 98.1828, loss: 0.0418 +2023-03-04 09:25:33,133 - mmseg - INFO - Iter [141050/160000] lr: 1.172e-06, eta: 1:06:18, time: 0.167, data_time: 0.008, memory: 52541, decode.loss_ce: 0.0438, decode.acc_seg: 98.0828, loss: 0.0438 +2023-03-04 09:25:41,330 - mmseg - INFO - Iter [141100/160000] lr: 1.172e-06, eta: 1:06:07, time: 0.164, data_time: 0.008, memory: 52541, decode.loss_ce: 0.0440, decode.acc_seg: 98.1070, loss: 0.0440 +2023-03-04 09:25:50,068 - mmseg - INFO - Iter [141150/160000] lr: 1.172e-06, eta: 1:05:56, time: 0.175, data_time: 0.008, memory: 52541, decode.loss_ce: 0.0396, decode.acc_seg: 98.2406, loss: 0.0396 +2023-03-04 09:25:59,109 - mmseg - INFO - Iter [141200/160000] lr: 1.172e-06, eta: 1:05:45, time: 0.181, data_time: 0.006, memory: 52541, decode.loss_ce: 0.0412, decode.acc_seg: 98.1960, loss: 0.0412 +2023-03-04 09:26:07,517 - mmseg - INFO - Iter [141250/160000] lr: 1.172e-06, eta: 1:05:35, time: 0.168, data_time: 0.008, memory: 52541, decode.loss_ce: 0.0413, decode.acc_seg: 98.1530, loss: 0.0413 +2023-03-04 09:26:16,168 - mmseg - INFO - Iter [141300/160000] lr: 1.172e-06, eta: 1:05:24, time: 0.173, data_time: 0.007, memory: 52541, decode.loss_ce: 0.0437, decode.acc_seg: 98.0928, loss: 0.0437 +2023-03-04 09:26:26,768 - mmseg - INFO - Iter [141350/160000] lr: 1.172e-06, eta: 1:05:13, time: 0.212, data_time: 0.052, memory: 52541, decode.loss_ce: 0.0448, decode.acc_seg: 98.0569, loss: 0.0448 +2023-03-04 09:26:34,947 - mmseg - INFO - Iter [141400/160000] lr: 1.172e-06, eta: 1:05:03, time: 0.164, data_time: 0.007, memory: 52541, decode.loss_ce: 0.0440, decode.acc_seg: 98.0742, loss: 0.0440 +2023-03-04 09:26:43,350 - mmseg - INFO - Iter [141450/160000] lr: 1.172e-06, eta: 1:04:52, time: 0.168, data_time: 0.007, memory: 52541, decode.loss_ce: 0.0436, decode.acc_seg: 98.1149, loss: 0.0436 +2023-03-04 09:26:51,430 - mmseg - INFO - Iter [141500/160000] lr: 1.172e-06, eta: 1:04:41, time: 0.162, data_time: 0.007, memory: 52541, decode.loss_ce: 0.0415, decode.acc_seg: 98.1793, loss: 0.0415 +2023-03-04 09:27:00,010 - mmseg - INFO - Iter [141550/160000] lr: 1.172e-06, eta: 1:04:30, time: 0.171, data_time: 0.007, memory: 52541, decode.loss_ce: 0.0424, decode.acc_seg: 98.1218, loss: 0.0424 +2023-03-04 09:27:08,344 - mmseg - INFO - Iter [141600/160000] lr: 1.172e-06, eta: 1:04:20, time: 0.167, data_time: 0.007, memory: 52541, decode.loss_ce: 0.0425, decode.acc_seg: 98.1548, loss: 0.0425 +2023-03-04 09:27:16,997 - mmseg - INFO - Iter [141650/160000] lr: 1.172e-06, eta: 1:04:09, time: 0.173, data_time: 0.007, memory: 52541, decode.loss_ce: 0.0419, decode.acc_seg: 98.1845, loss: 0.0419 +2023-03-04 09:27:25,294 - mmseg - INFO - Iter [141700/160000] lr: 1.172e-06, eta: 1:03:58, time: 0.166, data_time: 0.007, memory: 52541, decode.loss_ce: 0.0449, decode.acc_seg: 98.0507, loss: 0.0449 +2023-03-04 09:27:33,457 - mmseg - INFO - Iter [141750/160000] lr: 1.172e-06, eta: 1:03:47, time: 0.163, data_time: 0.007, memory: 52541, decode.loss_ce: 0.0417, decode.acc_seg: 98.1677, loss: 0.0417 +2023-03-04 09:27:41,562 - mmseg - INFO - Iter [141800/160000] lr: 1.172e-06, eta: 1:03:37, time: 0.162, data_time: 0.008, memory: 52541, decode.loss_ce: 0.0414, decode.acc_seg: 98.1994, loss: 0.0414 +2023-03-04 09:27:49,850 - mmseg - INFO - Iter [141850/160000] lr: 1.172e-06, eta: 1:03:26, time: 0.166, data_time: 0.007, memory: 52541, decode.loss_ce: 0.0407, decode.acc_seg: 98.2065, loss: 0.0407 +2023-03-04 09:27:58,211 - mmseg - INFO - Iter [141900/160000] lr: 1.172e-06, eta: 1:03:15, time: 0.167, data_time: 0.007, memory: 52541, decode.loss_ce: 0.0442, decode.acc_seg: 98.0651, loss: 0.0442 +2023-03-04 09:28:06,460 - mmseg - INFO - Iter [141950/160000] lr: 1.172e-06, eta: 1:03:04, time: 0.165, data_time: 0.007, memory: 52541, decode.loss_ce: 0.0434, decode.acc_seg: 98.1094, loss: 0.0434 +2023-03-04 09:28:17,145 - mmseg - INFO - Exp name: ablation_segformer_mit_b2_segformer_head_unet_fc_small_multi_step_ade_pretrained_freeze_embed_160k_ade20k151_finetune_ema_wgt.py +2023-03-04 09:28:17,145 - mmseg - INFO - Iter [142000/160000] lr: 1.172e-06, eta: 1:02:54, time: 0.214, data_time: 0.055, memory: 52541, decode.loss_ce: 0.0431, decode.acc_seg: 98.0880, loss: 0.0431 +2023-03-04 09:28:25,375 - mmseg - INFO - Iter [142050/160000] lr: 1.172e-06, eta: 1:02:43, time: 0.165, data_time: 0.007, memory: 52541, decode.loss_ce: 0.0386, decode.acc_seg: 98.3062, loss: 0.0386 +2023-03-04 09:28:33,633 - mmseg - INFO - Iter [142100/160000] lr: 1.172e-06, eta: 1:02:32, time: 0.165, data_time: 0.007, memory: 52541, decode.loss_ce: 0.0428, decode.acc_seg: 98.1368, loss: 0.0428 +2023-03-04 09:28:41,925 - mmseg - INFO - Iter [142150/160000] lr: 1.172e-06, eta: 1:02:21, time: 0.166, data_time: 0.008, memory: 52541, decode.loss_ce: 0.0439, decode.acc_seg: 98.1044, loss: 0.0439 +2023-03-04 09:28:50,111 - mmseg - INFO - Iter [142200/160000] lr: 1.172e-06, eta: 1:02:11, time: 0.164, data_time: 0.007, memory: 52541, decode.loss_ce: 0.0435, decode.acc_seg: 98.1372, loss: 0.0435 +2023-03-04 09:28:58,615 - mmseg - INFO - Iter [142250/160000] lr: 1.172e-06, eta: 1:02:00, time: 0.170, data_time: 0.007, memory: 52541, decode.loss_ce: 0.0409, decode.acc_seg: 98.2244, loss: 0.0409 +2023-03-04 09:29:07,388 - mmseg - INFO - Iter [142300/160000] lr: 1.172e-06, eta: 1:01:49, time: 0.175, data_time: 0.007, memory: 52541, decode.loss_ce: 0.0434, decode.acc_seg: 98.1338, loss: 0.0434 +2023-03-04 09:29:15,783 - mmseg - INFO - Iter [142350/160000] lr: 1.172e-06, eta: 1:01:39, time: 0.168, data_time: 0.007, memory: 52541, decode.loss_ce: 0.0423, decode.acc_seg: 98.1356, loss: 0.0423 +2023-03-04 09:29:24,075 - mmseg - INFO - Iter [142400/160000] lr: 1.172e-06, eta: 1:01:28, time: 0.166, data_time: 0.008, memory: 52541, decode.loss_ce: 0.0414, decode.acc_seg: 98.1932, loss: 0.0414 +2023-03-04 09:29:32,560 - mmseg - INFO - Iter [142450/160000] lr: 1.172e-06, eta: 1:01:17, time: 0.169, data_time: 0.007, memory: 52541, decode.loss_ce: 0.0441, decode.acc_seg: 98.0924, loss: 0.0441 +2023-03-04 09:29:40,917 - mmseg - INFO - Iter [142500/160000] lr: 1.172e-06, eta: 1:01:06, time: 0.167, data_time: 0.008, memory: 52541, decode.loss_ce: 0.0420, decode.acc_seg: 98.1956, loss: 0.0420 +2023-03-04 09:29:49,411 - mmseg - INFO - Iter [142550/160000] lr: 1.172e-06, eta: 1:00:56, time: 0.170, data_time: 0.007, memory: 52541, decode.loss_ce: 0.0417, decode.acc_seg: 98.1733, loss: 0.0417 +2023-03-04 09:29:58,043 - mmseg - INFO - Iter [142600/160000] lr: 1.172e-06, eta: 1:00:45, time: 0.173, data_time: 0.007, memory: 52541, decode.loss_ce: 0.0458, decode.acc_seg: 98.0505, loss: 0.0458 +2023-03-04 09:30:09,007 - mmseg - INFO - Iter [142650/160000] lr: 1.172e-06, eta: 1:00:35, time: 0.219, data_time: 0.057, memory: 52541, decode.loss_ce: 0.0435, decode.acc_seg: 98.1099, loss: 0.0435 +2023-03-04 09:30:17,861 - mmseg - INFO - Iter [142700/160000] lr: 1.172e-06, eta: 1:00:24, time: 0.177, data_time: 0.009, memory: 52541, decode.loss_ce: 0.0420, decode.acc_seg: 98.1609, loss: 0.0420 +2023-03-04 09:30:26,242 - mmseg - INFO - Iter [142750/160000] lr: 1.172e-06, eta: 1:00:13, time: 0.167, data_time: 0.007, memory: 52541, decode.loss_ce: 0.0405, decode.acc_seg: 98.1902, loss: 0.0405 +2023-03-04 09:30:35,018 - mmseg - INFO - Iter [142800/160000] lr: 1.172e-06, eta: 1:00:02, time: 0.176, data_time: 0.008, memory: 52541, decode.loss_ce: 0.0409, decode.acc_seg: 98.2140, loss: 0.0409 +2023-03-04 09:30:43,239 - mmseg - INFO - Iter [142850/160000] lr: 1.172e-06, eta: 0:59:52, time: 0.165, data_time: 0.008, memory: 52541, decode.loss_ce: 0.0420, decode.acc_seg: 98.1454, loss: 0.0420 +2023-03-04 09:30:51,393 - mmseg - INFO - Iter [142900/160000] lr: 1.172e-06, eta: 0:59:41, time: 0.163, data_time: 0.008, memory: 52541, decode.loss_ce: 0.0417, decode.acc_seg: 98.1987, loss: 0.0417 +2023-03-04 09:30:59,602 - mmseg - INFO - Iter [142950/160000] lr: 1.172e-06, eta: 0:59:30, time: 0.164, data_time: 0.007, memory: 52541, decode.loss_ce: 0.0442, decode.acc_seg: 98.0857, loss: 0.0442 +2023-03-04 09:31:07,775 - mmseg - INFO - Exp name: ablation_segformer_mit_b2_segformer_head_unet_fc_small_multi_step_ade_pretrained_freeze_embed_160k_ade20k151_finetune_ema_wgt.py +2023-03-04 09:31:07,775 - mmseg - INFO - Iter [143000/160000] lr: 1.172e-06, eta: 0:59:19, time: 0.163, data_time: 0.007, memory: 52541, decode.loss_ce: 0.0433, decode.acc_seg: 98.0945, loss: 0.0433 +2023-03-04 09:31:16,108 - mmseg - INFO - Iter [143050/160000] lr: 1.172e-06, eta: 0:59:09, time: 0.166, data_time: 0.008, memory: 52541, decode.loss_ce: 0.0411, decode.acc_seg: 98.1773, loss: 0.0411 +2023-03-04 09:31:24,365 - mmseg - INFO - Iter [143100/160000] lr: 1.172e-06, eta: 0:58:58, time: 0.165, data_time: 0.007, memory: 52541, decode.loss_ce: 0.0407, decode.acc_seg: 98.2210, loss: 0.0407 +2023-03-04 09:31:33,272 - mmseg - INFO - Iter [143150/160000] lr: 1.172e-06, eta: 0:58:47, time: 0.178, data_time: 0.008, memory: 52541, decode.loss_ce: 0.0396, decode.acc_seg: 98.2955, loss: 0.0396 +2023-03-04 09:31:41,386 - mmseg - INFO - Iter [143200/160000] lr: 1.172e-06, eta: 0:58:37, time: 0.162, data_time: 0.008, memory: 52541, decode.loss_ce: 0.0422, decode.acc_seg: 98.1626, loss: 0.0422 +2023-03-04 09:31:52,295 - mmseg - INFO - Iter [143250/160000] lr: 1.172e-06, eta: 0:58:26, time: 0.218, data_time: 0.059, memory: 52541, decode.loss_ce: 0.0417, decode.acc_seg: 98.1531, loss: 0.0417 +2023-03-04 09:32:00,647 - mmseg - INFO - Iter [143300/160000] lr: 1.172e-06, eta: 0:58:15, time: 0.167, data_time: 0.007, memory: 52541, decode.loss_ce: 0.0427, decode.acc_seg: 98.1298, loss: 0.0427 +2023-03-04 09:32:09,696 - mmseg - INFO - Iter [143350/160000] lr: 1.172e-06, eta: 0:58:05, time: 0.181, data_time: 0.008, memory: 52541, decode.loss_ce: 0.0381, decode.acc_seg: 98.3076, loss: 0.0381 +2023-03-04 09:32:18,108 - mmseg - INFO - Iter [143400/160000] lr: 1.172e-06, eta: 0:57:54, time: 0.168, data_time: 0.007, memory: 52541, decode.loss_ce: 0.0424, decode.acc_seg: 98.1245, loss: 0.0424 +2023-03-04 09:32:26,406 - mmseg - INFO - Iter [143450/160000] lr: 1.172e-06, eta: 0:57:43, time: 0.166, data_time: 0.007, memory: 52541, decode.loss_ce: 0.0409, decode.acc_seg: 98.2025, loss: 0.0409 +2023-03-04 09:32:34,634 - mmseg - INFO - Iter [143500/160000] lr: 1.172e-06, eta: 0:57:33, time: 0.165, data_time: 0.007, memory: 52541, decode.loss_ce: 0.0434, decode.acc_seg: 98.1407, loss: 0.0434 +2023-03-04 09:32:43,045 - mmseg - INFO - Iter [143550/160000] lr: 1.172e-06, eta: 0:57:22, time: 0.168, data_time: 0.007, memory: 52541, decode.loss_ce: 0.0416, decode.acc_seg: 98.1803, loss: 0.0416 +2023-03-04 09:32:51,444 - mmseg - INFO - Iter [143600/160000] lr: 1.172e-06, eta: 0:57:11, time: 0.168, data_time: 0.008, memory: 52541, decode.loss_ce: 0.0440, decode.acc_seg: 98.1413, loss: 0.0440 +2023-03-04 09:32:59,600 - mmseg - INFO - Iter [143650/160000] lr: 1.172e-06, eta: 0:57:01, time: 0.163, data_time: 0.008, memory: 52541, decode.loss_ce: 0.0413, decode.acc_seg: 98.2066, loss: 0.0413 +2023-03-04 09:33:07,715 - mmseg - INFO - Iter [143700/160000] lr: 1.172e-06, eta: 0:56:50, time: 0.162, data_time: 0.007, memory: 52541, decode.loss_ce: 0.0422, decode.acc_seg: 98.1401, loss: 0.0422 +2023-03-04 09:33:16,035 - mmseg - INFO - Iter [143750/160000] lr: 1.172e-06, eta: 0:56:39, time: 0.167, data_time: 0.008, memory: 52541, decode.loss_ce: 0.0397, decode.acc_seg: 98.2637, loss: 0.0397 +2023-03-04 09:33:24,338 - mmseg - INFO - Iter [143800/160000] lr: 1.172e-06, eta: 0:56:28, time: 0.166, data_time: 0.007, memory: 52541, decode.loss_ce: 0.0444, decode.acc_seg: 98.0851, loss: 0.0444 +2023-03-04 09:33:33,017 - mmseg - INFO - Iter [143850/160000] lr: 1.172e-06, eta: 0:56:18, time: 0.174, data_time: 0.007, memory: 52541, decode.loss_ce: 0.0434, decode.acc_seg: 98.1323, loss: 0.0434 +2023-03-04 09:33:43,719 - mmseg - INFO - Iter [143900/160000] lr: 1.172e-06, eta: 0:56:07, time: 0.214, data_time: 0.053, memory: 52541, decode.loss_ce: 0.0428, decode.acc_seg: 98.1195, loss: 0.0428 +2023-03-04 09:33:52,017 - mmseg - INFO - Iter [143950/160000] lr: 1.172e-06, eta: 0:55:57, time: 0.166, data_time: 0.008, memory: 52541, decode.loss_ce: 0.0422, decode.acc_seg: 98.1086, loss: 0.0422 +2023-03-04 09:34:00,507 - mmseg - INFO - Swap parameters (after train) after iter [144000] +2023-03-04 09:34:00,521 - mmseg - INFO - Saving checkpoint at 144000 iterations +2023-03-04 09:34:01,537 - mmseg - INFO - Exp name: ablation_segformer_mit_b2_segformer_head_unet_fc_small_multi_step_ade_pretrained_freeze_embed_160k_ade20k151_finetune_ema_wgt.py +2023-03-04 09:34:01,537 - mmseg - INFO - Iter [144000/160000] lr: 1.172e-06, eta: 0:55:46, time: 0.191, data_time: 0.007, memory: 52541, decode.loss_ce: 0.0414, decode.acc_seg: 98.1711, loss: 0.0414 +2023-03-04 09:44:53,928 - mmseg - INFO - per class results: +2023-03-04 09:44:53,937 - mmseg - INFO - ++---------------------+-------------------------------------------------------------------+ +| Class | IoU 0,10,20,30,40,50,60,70,80,90,99 | ++---------------------+-------------------------------------------------------------------+ +| background | nan,nan,nan,nan,nan,nan,nan,nan,nan,nan,nan | +| wall | 76.85,75.77,73.7,70.18,65.69,61.17,57.15,53.78,51.12,49.14,47.91 | +| building | 81.34,80.69,79.99,78.36,75.62,72.23,68.79,65.75,63.33,61.53,60.44 | +| sky | 94.47,94.12,93.41,91.73,88.64,84.66,80.6,77.09,74.33,72.14,70.66 | +| floor | 81.28,80.49,78.82,75.64,71.15,66.26,61.86,58.29,55.54,53.53,52.3 | +| tree | 73.98,72.6,70.65,66.78,61.01,54.81,49.31,45.01,41.86,39.52,37.97 | +| ceiling | 84.63,83.78,80.43,73.86,65.59,57.48,50.14,43.91,38.8,34.78,31.97 | +| road | 81.53,80.96,79.35,76.57,73.4,70.38,67.58,65.26,63.43,61.91,60.89 | +| bed | 87.25,87.12,86.33,84.04,80.25,75.53,70.49,65.95,62.31,59.53,57.74 | +| windowpane | 59.71,60.09,58.2,55.52,52.14,48.28,44.77,41.58,38.86,36.85,35.58 | +| grass | 66.64,65.62,64.22,62.01,59.37,56.77,54.36,52.35,50.77,49.58,48.89 | +| cabinet | 59.92,60.78,59.66,57.58,54.69,51.53,48.35,45.49,43.04,41.08,39.78 | +| sidewalk | 62.94,62.01,58.27,52.36,46.62,42.43,39.64,37.78,36.47,35.52,34.96 | +| person | 78.8,78.18,76.64,73.6,68.75,62.12,55.18,48.88,43.97,40.3,38.08 | +| earth | 35.75,36.46,36.43,36.04,35.28,34.2,33.16,32.36,31.74,31.23,30.88 | +| door | 44.54,43.2,40.68,37.68,34.75,31.82,29.35,27.2,25.28,23.85,22.88 | +| table | 59.0,58.88,57.62,54.37,48.84,42.2,36.13,31.09,27.63,25.27,23.91 | +| mountain | 54.79,54.87,54.3,52.78,50.4,47.73,45.07,43.07,41.55,40.42,39.72 | +| plant | 50.01,48.86,47.54,45.26,41.98,38.48,35.12,32.31,30.18,28.65,27.72 | +| curtain | 73.48,72.91,70.68,66.64,61.16,54.98,49.14,44.33,40.58,37.74,35.74 | +| chair | 54.87,54.27,53.61,51.29,47.48,42.49,37.19,32.46,28.96,26.37,24.98 | +| car | 81.25,81.78,80.85,78.51,74.32,68.51,61.94,55.52,50.21,46.19,43.71 | +| water | 56.49,57.22,57.03,56.24,54.95,53.46,51.99,50.81,49.74,48.96,48.52 | +| painting | 70.06,70.19,68.59,66.71,64.35,61.53,58.81,56.34,54.26,52.75,51.9 | +| sofa | 62.89,63.75,63.56,62.74,60.76,57.57,53.57,49.56,46.31,43.67,41.98 | +| shelf | 44.55,43.75,42.55,40.56,37.91,35.3,32.75,30.35,28.56,27.24,26.33 | +| house | 37.72,32.27,31.81,31.33,30.51,29.25,28.07,26.89,25.89,25.2,24.75 | +| sea | 59.15,60.29,60.27,59.62,58.26,56.48,54.66,53.15,51.84,50.79,50.12 | +| mirror | 63.5,63.1,62.28,60.28,57.06,53.94,50.48,46.92,43.5,40.76,38.68 | +| rug | 64.28,63.71,62.35,59.7,54.99,49.67,44.93,41.0,38.25,36.27,35.15 | +| field | 30.9,29.96,29.88,29.61,29.14,28.68,28.29,28.01,27.79,27.62,27.54 | +| armchair | 37.57,38.03,38.15,37.21,35.83,33.48,30.58,27.79,25.09,23.03,21.65 | +| seat | 66.09,66.19,65.36,63.66,60.46,57.1,54.22,51.67,49.37,47.48,46.52 | +| fence | 38.67,38.58,36.74,33.77,30.77,27.79,24.98,22.82,21.5,20.59,19.89 | +| desk | 45.89,46.76,46.36,44.09,41.44,38.02,34.96,32.14,29.69,27.65,26.34 | +| rock | 37.71,37.16,35.92,34.49,32.52,30.3,28.3,26.74,25.62,24.8,24.29 | +| wardrobe | 56.7,56.53,54.05,51.63,49.04,46.57,44.41,42.61,41.04,39.68,39.03 | +| lamp | 59.85,58.87,58.56,56.98,54.48,50.16,44.86,39.13,33.94,30.02,27.46 | +| bathtub | 72.1,70.74,70.08,67.64,63.77,59.26,54.13,49.45,45.58,42.68,40.65 | +| railing | 34.46,33.25,31.96,29.85,27.11,24.22,22.03,20.72,19.63,18.89,18.51 | +| cushion | 53.9,50.59,50.95,49.35,47.82,45.64,42.08,37.18,31.59,27.11,24.51 | +| base | 21.61,22.52,21.81,20.61,19.46,18.52,17.48,16.19,15.31,14.8,14.55 | +| box | 22.02,22.32,21.96,20.91,19.46,18.16,16.77,15.49,14.33,13.4,12.65 | +| column | 45.2,46.24,45.11,42.43,38.31,33.79,29.55,25.79,23.14,21.65,20.99 | +| signboard | 37.6,37.17,36.98,35.49,33.19,30.02,26.85,23.82,21.37,19.24,18.03 | +| chest of drawers | 35.88,34.72,34.53,34.18,33.61,32.49,31.35,29.99,28.95,27.9,27.42 | +| counter | 29.75,33.57,34.71,34.24,32.0,29.63,27.33,25.17,23.24,21.77,20.65 | +| sand | 38.73,38.8,38.98,38.52,38.32,38.05,37.44,36.92,36.51,36.3,36.32 | +| sink | 67.34,68.99,68.42,65.5,60.0,53.87,47.13,40.39,34.42,29.72,26.6 | +| skyscraper | 47.17,48.76,47.98,47.1,45.69,44.11,42.68,41.18,40.02,39.03,38.28 | +| fireplace | 73.59,75.81,74.97,73.83,72.28,69.47,65.79,62.11,58.42,54.98,52.82 | +| refrigerator | 71.51,72.46,70.92,67.66,63.83,59.74,55.8,52.33,49.1,46.45,44.73 | +| grandstand | 52.65,55.19,55.39,54.47,53.74,50.79,47.57,44.92,42.99,40.91,39.05 | +| path | 20.64,24.73,24.5,23.47,21.17,19.03,17.54,16.18,15.24,14.8,14.53 | +| stairs | 34.72,31.22,30.47,29.62,27.9,25.82,24.0,22.4,20.7,19.47,18.93 | +| runway | 65.42,64.74,63.78,63.05,62.17,61.22,60.66,59.95,59.26,58.64,58.2 | +| case | 49.86,49.2,47.39,45.45,43.13,41.53,40.51,39.9,39.49,39.23,39.08 | +| pool table | 91.52,90.76,89.28,86.26,81.93,76.8,71.67,66.82,62.26,58.71,56.55 | +| pillow | 55.4,55.21,54.21,51.18,47.44,41.92,34.54,27.4,21.67,17.89,15.75 | +| screen door | 68.65,65.72,62.61,58.84,53.81,49.62,45.47,41.24,36.75,33.3,31.25 | +| stairway | 24.43,21.83,21.66,20.89,19.34,17.09,15.4,14.33,13.92,13.39,12.92 | +| river | 11.83,11.54,11.18,11.02,10.83,10.56,10.21,9.82,9.54,9.39,9.35 | +| bridge | 32.49,30.35,30.47,28.93,25.68,22.53,20.68,18.93,17.92,17.25,16.82 | +| bookcase | 45.66,44.91,44.65,42.15,38.73,35.45,31.7,28.77,26.04,24.08,22.93 | +| blind | 36.74,37.27,37.28,37.1,36.43,35.72,35.11,34.14,33.16,32.2,31.18 | +| coffee table | 53.94,55.12,55.46,53.89,50.97,47.07,42.41,37.62,33.29,29.74,27.77 | +| toilet | 82.63,83.56,83.21,81.96,79.87,75.89,71.43,66.29,61.21,56.59,53.53 | +| flower | 38.9,39.31,38.5,36.1,32.86,28.57,23.75,19.19,16.16,13.98,12.9 | +| book | 44.39,43.96,42.81,41.38,38.9,36.07,33.37,31.17,28.73,27.07,26.32 | +| hill | 14.88,14.79,15.21,15.16,14.29,13.06,11.95,11.36,10.67,10.3,9.91 | +| bench | 40.12,40.74,39.69,38.63,36.67,34.65,32.63,30.65,28.96,27.85,27.2 | +| countertop | 50.79,51.55,51.25,50.45,47.21,41.45,35.8,30.6,26.12,22.72,21.16 | +| stove | 70.06,67.92,67.59,66.43,63.4,59.12,53.78,48.89,43.78,39.83,37.14 | +| palm | 48.57,48.67,46.78,43.0,39.13,35.28,31.6,28.9,26.89,25.3,24.15 | +| kitchen island | 40.38,41.95,41.04,40.12,38.72,36.68,33.85,31.65,29.43,27.13,25.87 | +| computer | 58.04,57.68,56.95,54.87,52.43,49.69,47.03,44.22,42.16,40.13,38.67 | +| swivel chair | 43.39,44.87,44.71,43.51,42.6,40.04,36.94,33.51,30.76,28.84,27.65 | +| boat | 70.86,74.07,73.56,69.38,64.22,59.13,54.32,50.18,47.13,45.01,43.84 | +| bar | 21.96,20.76,20.65,19.58,18.2,16.4,14.97,13.74,12.65,11.61,11.04 | +| arcade machine | 68.67,63.36,60.67,55.15,48.75,43.26,38.95,35.04,30.58,26.17,22.05 | +| hovel | 25.72,23.12,22.58,20.86,19.91,18.85,17.87,16.92,16.11,15.25,14.73 | +| bus | 75.8,79.85,79.55,78.38,75.64,71.3,67.58,64.06,61.14,59.25,57.91 | +| towel | 59.44,60.85,59.37,56.49,51.55,45.7,40.63,35.42,31.04,27.01,24.37 | +| light | 48.8,52.75,53.07,51.74,48.73,44.56,39.83,35.57,32.25,28.32,25.88 | +| truck | 14.98,19.27,19.39,19.56,18.98,17.49,16.31,14.64,13.49,12.49,11.81 | +| tower | 9.1,11.44,11.05,10.1,8.72,6.91,5.11,3.84,3.0,2.55,2.2 | +| chandelier | 63.54,62.52,60.89,58.87,55.55,51.26,45.11,38.07,31.32,26.81,24.07 | +| awning | 22.47,26.0,24.11,22.44,20.07,16.28,12.73,9.66,6.91,5.92,5.42 | +| streetlight | 23.41,24.28,24.62,22.93,21.45,18.85,15.96,13.28,10.92,9.41,8.21 | +| booth | 37.6,36.69,36.09,35.03,33.17,32.19,31.56,30.65,29.69,28.73,28.29 | +| television receiver | 63.62,63.42,63.11,60.79,57.53,53.96,50.55,46.84,43.8,41.1,38.76 | +| airplane | 57.32,57.29,55.64,51.99,47.67,42.63,37.73,33.22,29.94,28.15,27.03 | +| dirt track | 12.62,21.28,21.89,21.78,21.75,20.93,20.08,19.36,18.72,18.45,18.17 | +| apparel | 31.44,28.44,27.15,25.9,24.72,22.02,18.76,16.9,15.05,13.4,12.62 | +| pole | 15.74,19.2,17.54,15.03,12.61,9.7,7.95,6.76,5.73,5.04,4.43 | +| land | 2.12,3.14,3.23,3.93,4.28,4.89,5.45,5.8,6.13,6.4,6.58 | +| bannister | 10.57,9.58,8.79,8.89,8.36,7.84,7.22,6.28,5.35,4.61,3.93 | +| escalator | 22.15,19.89,20.04,19.59,19.43,18.95,18.24,17.67,16.97,16.39,15.82 | +| ottoman | 43.92,39.49,38.34,37.17,35.81,33.41,31.16,29.1,26.81,25.14,24.29 | +| bottle | 31.91,33.94,34.09,32.79,30.35,28.49,26.71,25.46,24.3,23.05,22.55 | +| buffet | 36.72,40.48,38.96,37.28,35.83,33.78,31.46,29.09,27.57,26.87,26.07 | +| poster | 23.34,26.64,26.94,27.16,26.52,26.44,25.8,25.39,24.68,24.06,23.56 | +| stage | 13.87,13.08,13.25,13.28,12.75,12.17,11.78,11.53,11.32,11.06,10.77 | +| van | 40.2,38.99,38.44,37.48,36.69,34.46,31.88,29.13,27.31,26.04,25.45 | +| ship | 79.18,84.72,84.63,85.11,85.01,84.91,84.05,82.59,81.82,81.26,81.34 | +| fountain | 12.78,13.64,12.68,12.22,11.19,9.72,8.07,6.69,5.18,4.0,3.37 | +| conveyer belt | 82.61,85.75,83.94,81.58,77.82,73.88,69.73,66.19,64.0,61.17,58.81 | +| canopy | 22.16,24.8,24.01,20.67,17.43,13.81,11.39,9.89,9.12,8.24,7.22 | +| washer | 77.23,74.14,72.56,69.78,66.48,63.65,61.59,59.82,58.44,57.64,56.71 | +| plaything | 20.3,19.68,21.06,20.99,18.81,15.65,13.28,11.0,9.4,7.91,6.97 | +| swimming pool | 72.79,73.79,76.99,76.8,75.56,72.96,68.4,63.6,58.91,54.06,50.27 | +| stool | 42.65,41.83,41.83,37.9,32.85,27.81,23.1,17.89,14.03,12.22,12.03 | +| barrel | 39.04,22.74,17.92,17.2,17.16,16.13,16.11,16.9,17.26,16.83,16.87 | +| basket | 22.89,24.63,24.63,24.31,22.96,21.01,18.7,16.92,15.41,14.3,13.56 | +| waterfall | 51.35,50.75,50.78,50.82,48.36,44.56,41.26,38.64,36.0,34.49,33.29 | +| tent | 93.71,95.72,93.59,89.87,84.36,79.23,73.51,68.24,63.44,58.73,55.08 | +| bag | 15.16,17.27,15.71,13.89,11.93,9.82,8.02,6.79,5.94,5.32,4.85 | +| minibike | 58.44,61.14,59.44,57.38,53.41,48.2,42.73,37.17,32.25,28.95,26.28 | +| cradle | 81.45,83.57,80.95,74.67,68.68,62.51,57.32,53.2,49.96,47.48,45.51 | +| oven | 44.33,51.49,52.79,53.14,52.82,51.68,51.76,49.83,46.96,43.56,40.93 | +| ball | 42.3,38.14,36.42,33.89,29.23,25.79,23.8,21.8,20.68,19.59,19.1 | +| food | 48.34,57.81,56.29,52.92,48.69,44.62,41.3,38.4,36.07,34.52,33.46 | +| step | 5.84,4.78,4.46,4.15,2.45,1.63,0.68,0.31,0.07,0.0,0.0 | +| tank | 54.35,52.77,51.41,49.56,47.21,44.98,42.78,40.91,39.4,37.7,36.43 | +| trade name | 25.34,31.89,29.61,26.7,23.05,19.25,14.72,11.11,8.72,7.07,6.36 | +| microwave | 73.16,76.65,73.89,71.74,69.29,66.39,63.6,60.5,57.34,54.77,52.95 | +| pot | 31.43,30.43,27.77,27.57,24.54,21.29,17.69,15.03,12.53,10.4,9.3 | +| animal | 54.82,50.85,49.02,46.86,45.0,41.95,38.32,35.39,32.97,30.97,29.5 | +| bicycle | 48.52,49.74,47.3,44.45,40.42,35.63,29.74,25.07,22.47,20.27,19.19 | +| lake | 56.13,56.88,56.74,56.77,56.8,56.31,55.96,55.78,55.48,55.28,55.18 | +| dishwasher | 66.12,63.97,64.47,64.6,61.5,58.43,55.27,52.72,49.08,46.07,44.15 | +| screen | 69.67,71.37,71.25,70.64,69.75,68.15,66.93,66.37,65.81,65.44,64.97 | +| blanket | 13.55,15.06,14.63,12.98,11.52,9.97,8.39,7.0,6.18,5.53,5.19 | +| sculpture | 56.71,55.4,56.36,54.16,49.41,44.7,41.48,38.62,36.75,35.62,35.16 | +| hood | 59.83,58.67,58.82,57.07,52.36,48.42,43.87,39.48,36.32,32.87,30.12 | +| sconce | 40.19,37.35,38.12,38.38,35.36,32.18,28.28,23.29,19.13,16.34,14.85 | +| vase | 34.6,35.75,34.82,32.19,29.33,26.73,23.64,20.82,17.84,14.7,12.51 | +| traffic light | 28.38,30.96,30.76,28.63,24.57,21.7,18.61,15.54,14.22,13.42,12.33 | +| tray | 4.36,5.27,5.9,5.43,5.13,4.79,4.72,3.76,3.37,3.6,3.74 | +| ashcan | 40.93,39.44,39.41,39.75,37.23,34.83,30.85,27.27,24.08,21.47,19.27 | +| fan | 54.35,56.79,57.64,56.92,54.01,48.25,42.05,36.63,30.26,25.84,23.25 | +| pier | 42.1,29.19,29.37,30.2,28.44,26.0,24.71,24.0,23.27,22.78,22.79 | +| crt screen | 10.13,11.29,12.33,13.3,13.32,12.69,12.01,10.62,9.3,8.1,7.16 | +| plate | 45.24,48.66,47.95,45.63,41.95,38.02,33.08,28.93,25.11,21.35,18.43 | +| monitor | 16.08,11.84,11.61,10.48,10.12,9.23,8.08,7.1,6.46,5.89,5.35 | +| bulletin board | 38.23,33.17,32.52,29.6,25.5,22.07,18.17,15.37,13.75,12.44,11.37 | +| shower | 1.39,0.12,0.57,0.07,0.0,0.03,0.2,0.35,0.46,0.66,0.77 | +| radiator | 55.1,55.86,54.56,50.41,42.89,36.17,28.76,22.74,18.51,15.61,13.68 | +| glass | 10.52,12.66,13.34,13.21,12.52,11.63,9.98,7.81,6.05,5.03,4.97 | +| clock | 30.0,28.49,26.8,24.25,20.47,16.81,13.06,9.98,7.44,5.86,5.32 | +| flag | 32.05,28.15,28.26,26.57,24.5,22.42,19.82,17.45,15.84,14.26,13.39 | ++---------------------+-------------------------------------------------------------------+ +2023-03-04 09:44:53,937 - mmseg - INFO - Summary: +2023-03-04 09:44:53,937 - mmseg - INFO - ++-------------------------------------------------------------------+ +| mIoU 0,10,20,30,40,50,60,70,80,90,99 | ++-------------------------------------------------------------------+ +| 47.04,47.09,46.33,44.62,42.03,39.03,36.02,33.27,30.96,29.15,27.97 | ++-------------------------------------------------------------------+ +2023-03-04 09:44:53,938 - mmseg - INFO - Exp name: ablation_segformer_mit_b2_segformer_head_unet_fc_small_multi_step_ade_pretrained_freeze_embed_160k_ade20k151_finetune_ema_wgt.py +2023-03-04 09:44:53,938 - mmseg - INFO - Iter(val) [250] mIoU: [0.4704, 0.4709, 0.4633, 0.4462, 0.4203, 0.3903, 0.3602, 0.3327, 0.3096, 0.2915, 0.2797], copy_paste: 47.04,47.09,46.33,44.62,42.03,39.03,36.02,33.27,30.96,29.15,27.97 +2023-03-04 09:44:53,944 - mmseg - INFO - Swap parameters (before train) before iter [144001] +2023-03-04 09:45:02,520 - mmseg - INFO - Iter [144050/160000] lr: 1.172e-06, eta: 0:56:48, time: 13.220, data_time: 13.056, memory: 52541, decode.loss_ce: 0.0443, decode.acc_seg: 98.0715, loss: 0.0443 +2023-03-04 09:45:10,925 - mmseg - INFO - Iter [144100/160000] lr: 1.172e-06, eta: 0:56:37, time: 0.168, data_time: 0.008, memory: 52541, decode.loss_ce: 0.0431, decode.acc_seg: 98.1107, loss: 0.0431 +2023-03-04 09:45:19,374 - mmseg - INFO - Iter [144150/160000] lr: 1.172e-06, eta: 0:56:26, time: 0.169, data_time: 0.008, memory: 52541, decode.loss_ce: 0.0418, decode.acc_seg: 98.1464, loss: 0.0418 +2023-03-04 09:45:27,588 - mmseg - INFO - Iter [144200/160000] lr: 1.172e-06, eta: 0:56:15, time: 0.164, data_time: 0.007, memory: 52541, decode.loss_ce: 0.0408, decode.acc_seg: 98.2189, loss: 0.0408 +2023-03-04 09:45:35,845 - mmseg - INFO - Iter [144250/160000] lr: 1.172e-06, eta: 0:56:04, time: 0.165, data_time: 0.008, memory: 52541, decode.loss_ce: 0.0409, decode.acc_seg: 98.2131, loss: 0.0409 +2023-03-04 09:45:44,332 - mmseg - INFO - Iter [144300/160000] lr: 1.172e-06, eta: 0:55:53, time: 0.170, data_time: 0.007, memory: 52541, decode.loss_ce: 0.0412, decode.acc_seg: 98.2063, loss: 0.0412 +2023-03-04 09:45:52,637 - mmseg - INFO - Iter [144350/160000] lr: 1.172e-06, eta: 0:55:42, time: 0.166, data_time: 0.008, memory: 52541, decode.loss_ce: 0.0424, decode.acc_seg: 98.1468, loss: 0.0424 +2023-03-04 09:46:00,830 - mmseg - INFO - Iter [144400/160000] lr: 1.172e-06, eta: 0:55:31, time: 0.164, data_time: 0.008, memory: 52541, decode.loss_ce: 0.0404, decode.acc_seg: 98.2227, loss: 0.0404 +2023-03-04 09:46:09,570 - mmseg - INFO - Iter [144450/160000] lr: 1.172e-06, eta: 0:55:20, time: 0.175, data_time: 0.007, memory: 52541, decode.loss_ce: 0.0381, decode.acc_seg: 98.3421, loss: 0.0381 +2023-03-04 09:46:20,303 - mmseg - INFO - Iter [144500/160000] lr: 1.172e-06, eta: 0:55:10, time: 0.215, data_time: 0.054, memory: 52541, decode.loss_ce: 0.0416, decode.acc_seg: 98.1805, loss: 0.0416 +2023-03-04 09:46:29,041 - mmseg - INFO - Iter [144550/160000] lr: 1.172e-06, eta: 0:54:59, time: 0.175, data_time: 0.009, memory: 52541, decode.loss_ce: 0.0424, decode.acc_seg: 98.1213, loss: 0.0424 +2023-03-04 09:46:37,916 - mmseg - INFO - Iter [144600/160000] lr: 1.172e-06, eta: 0:54:48, time: 0.177, data_time: 0.007, memory: 52541, decode.loss_ce: 0.0429, decode.acc_seg: 98.0945, loss: 0.0429 +2023-03-04 09:46:46,353 - mmseg - INFO - Iter [144650/160000] lr: 1.172e-06, eta: 0:54:37, time: 0.169, data_time: 0.007, memory: 52541, decode.loss_ce: 0.0445, decode.acc_seg: 98.0845, loss: 0.0445 +2023-03-04 09:46:54,614 - mmseg - INFO - Iter [144700/160000] lr: 1.172e-06, eta: 0:54:26, time: 0.165, data_time: 0.008, memory: 52541, decode.loss_ce: 0.0419, decode.acc_seg: 98.1392, loss: 0.0419 +2023-03-04 09:47:02,867 - mmseg - INFO - Iter [144750/160000] lr: 1.172e-06, eta: 0:54:15, time: 0.165, data_time: 0.007, memory: 52541, decode.loss_ce: 0.0429, decode.acc_seg: 98.1359, loss: 0.0429 +2023-03-04 09:47:11,227 - mmseg - INFO - Iter [144800/160000] lr: 1.172e-06, eta: 0:54:04, time: 0.167, data_time: 0.007, memory: 52541, decode.loss_ce: 0.0434, decode.acc_seg: 98.0922, loss: 0.0434 +2023-03-04 09:47:19,671 - mmseg - INFO - Iter [144850/160000] lr: 1.172e-06, eta: 0:53:53, time: 0.169, data_time: 0.008, memory: 52541, decode.loss_ce: 0.0427, decode.acc_seg: 98.1336, loss: 0.0427 +2023-03-04 09:47:28,085 - mmseg - INFO - Iter [144900/160000] lr: 1.172e-06, eta: 0:53:42, time: 0.168, data_time: 0.007, memory: 52541, decode.loss_ce: 0.0426, decode.acc_seg: 98.1387, loss: 0.0426 +2023-03-04 09:47:36,207 - mmseg - INFO - Iter [144950/160000] lr: 1.172e-06, eta: 0:53:31, time: 0.162, data_time: 0.007, memory: 52541, decode.loss_ce: 0.0419, decode.acc_seg: 98.1667, loss: 0.0419 +2023-03-04 09:47:44,457 - mmseg - INFO - Exp name: ablation_segformer_mit_b2_segformer_head_unet_fc_small_multi_step_ade_pretrained_freeze_embed_160k_ade20k151_finetune_ema_wgt.py +2023-03-04 09:47:44,457 - mmseg - INFO - Iter [145000/160000] lr: 1.172e-06, eta: 0:53:20, time: 0.165, data_time: 0.007, memory: 52541, decode.loss_ce: 0.0408, decode.acc_seg: 98.2013, loss: 0.0408 +2023-03-04 09:47:52,718 - mmseg - INFO - Iter [145050/160000] lr: 1.172e-06, eta: 0:53:09, time: 0.165, data_time: 0.007, memory: 52541, decode.loss_ce: 0.0426, decode.acc_seg: 98.1577, loss: 0.0426 +2023-03-04 09:48:01,386 - mmseg - INFO - Iter [145100/160000] lr: 1.172e-06, eta: 0:52:59, time: 0.173, data_time: 0.008, memory: 52541, decode.loss_ce: 0.0422, decode.acc_seg: 98.1333, loss: 0.0422 +2023-03-04 09:48:12,098 - mmseg - INFO - Iter [145150/160000] lr: 1.172e-06, eta: 0:52:48, time: 0.214, data_time: 0.054, memory: 52541, decode.loss_ce: 0.0424, decode.acc_seg: 98.1789, loss: 0.0424 +2023-03-04 09:48:20,340 - mmseg - INFO - Iter [145200/160000] lr: 1.172e-06, eta: 0:52:37, time: 0.165, data_time: 0.007, memory: 52541, decode.loss_ce: 0.0405, decode.acc_seg: 98.2181, loss: 0.0405 +2023-03-04 09:48:28,461 - mmseg - INFO - Iter [145250/160000] lr: 1.172e-06, eta: 0:52:26, time: 0.162, data_time: 0.007, memory: 52541, decode.loss_ce: 0.0413, decode.acc_seg: 98.1787, loss: 0.0413 +2023-03-04 09:48:37,015 - mmseg - INFO - Iter [145300/160000] lr: 1.172e-06, eta: 0:52:15, time: 0.171, data_time: 0.007, memory: 52541, decode.loss_ce: 0.0457, decode.acc_seg: 98.0393, loss: 0.0457 +2023-03-04 09:48:45,388 - mmseg - INFO - Iter [145350/160000] lr: 1.172e-06, eta: 0:52:04, time: 0.168, data_time: 0.007, memory: 52541, decode.loss_ce: 0.0415, decode.acc_seg: 98.2181, loss: 0.0415 +2023-03-04 09:48:53,762 - mmseg - INFO - Iter [145400/160000] lr: 1.172e-06, eta: 0:51:53, time: 0.167, data_time: 0.007, memory: 52541, decode.loss_ce: 0.0408, decode.acc_seg: 98.2139, loss: 0.0408 +2023-03-04 09:49:02,027 - mmseg - INFO - Iter [145450/160000] lr: 1.172e-06, eta: 0:51:43, time: 0.166, data_time: 0.008, memory: 52541, decode.loss_ce: 0.0415, decode.acc_seg: 98.1622, loss: 0.0415 +2023-03-04 09:49:10,190 - mmseg - INFO - Iter [145500/160000] lr: 1.172e-06, eta: 0:51:32, time: 0.163, data_time: 0.007, memory: 52541, decode.loss_ce: 0.0432, decode.acc_seg: 98.1062, loss: 0.0432 +2023-03-04 09:49:18,534 - mmseg - INFO - Iter [145550/160000] lr: 1.172e-06, eta: 0:51:21, time: 0.167, data_time: 0.007, memory: 52541, decode.loss_ce: 0.0419, decode.acc_seg: 98.1751, loss: 0.0419 +2023-03-04 09:49:26,938 - mmseg - INFO - Iter [145600/160000] lr: 1.172e-06, eta: 0:51:10, time: 0.168, data_time: 0.007, memory: 52541, decode.loss_ce: 0.0400, decode.acc_seg: 98.2401, loss: 0.0400 +2023-03-04 09:49:35,867 - mmseg - INFO - Iter [145650/160000] lr: 1.172e-06, eta: 0:50:59, time: 0.178, data_time: 0.007, memory: 52541, decode.loss_ce: 0.0392, decode.acc_seg: 98.2670, loss: 0.0392 +2023-03-04 09:49:44,007 - mmseg - INFO - Iter [145700/160000] lr: 1.172e-06, eta: 0:50:48, time: 0.163, data_time: 0.007, memory: 52541, decode.loss_ce: 0.0425, decode.acc_seg: 98.1330, loss: 0.0425 +2023-03-04 09:49:52,136 - mmseg - INFO - Iter [145750/160000] lr: 1.172e-06, eta: 0:50:37, time: 0.163, data_time: 0.007, memory: 52541, decode.loss_ce: 0.0418, decode.acc_seg: 98.1586, loss: 0.0418 +2023-03-04 09:50:03,121 - mmseg - INFO - Iter [145800/160000] lr: 1.172e-06, eta: 0:50:27, time: 0.220, data_time: 0.054, memory: 52541, decode.loss_ce: 0.0414, decode.acc_seg: 98.1849, loss: 0.0414 +2023-03-04 09:50:11,460 - mmseg - INFO - Iter [145850/160000] lr: 1.172e-06, eta: 0:50:16, time: 0.167, data_time: 0.007, memory: 52541, decode.loss_ce: 0.0409, decode.acc_seg: 98.1870, loss: 0.0409 +2023-03-04 09:50:19,768 - mmseg - INFO - Iter [145900/160000] lr: 1.172e-06, eta: 0:50:05, time: 0.166, data_time: 0.007, memory: 52541, decode.loss_ce: 0.0425, decode.acc_seg: 98.1390, loss: 0.0425 +2023-03-04 09:50:28,422 - mmseg - INFO - Iter [145950/160000] lr: 1.172e-06, eta: 0:49:54, time: 0.173, data_time: 0.007, memory: 52541, decode.loss_ce: 0.0441, decode.acc_seg: 98.0705, loss: 0.0441 +2023-03-04 09:50:37,130 - mmseg - INFO - Exp name: ablation_segformer_mit_b2_segformer_head_unet_fc_small_multi_step_ade_pretrained_freeze_embed_160k_ade20k151_finetune_ema_wgt.py +2023-03-04 09:50:37,130 - mmseg - INFO - Iter [146000/160000] lr: 1.172e-06, eta: 0:49:43, time: 0.174, data_time: 0.008, memory: 52541, decode.loss_ce: 0.0429, decode.acc_seg: 98.1215, loss: 0.0429 +2023-03-04 09:50:45,222 - mmseg - INFO - Iter [146050/160000] lr: 1.172e-06, eta: 0:49:32, time: 0.162, data_time: 0.007, memory: 52541, decode.loss_ce: 0.0422, decode.acc_seg: 98.1590, loss: 0.0422 +2023-03-04 09:50:53,422 - mmseg - INFO - Iter [146100/160000] lr: 1.172e-06, eta: 0:49:21, time: 0.164, data_time: 0.007, memory: 52541, decode.loss_ce: 0.0382, decode.acc_seg: 98.2982, loss: 0.0382 +2023-03-04 09:51:01,701 - mmseg - INFO - Iter [146150/160000] lr: 1.172e-06, eta: 0:49:10, time: 0.166, data_time: 0.007, memory: 52541, decode.loss_ce: 0.0424, decode.acc_seg: 98.1400, loss: 0.0424 +2023-03-04 09:51:10,238 - mmseg - INFO - Iter [146200/160000] lr: 1.172e-06, eta: 0:49:00, time: 0.171, data_time: 0.007, memory: 52541, decode.loss_ce: 0.0430, decode.acc_seg: 98.1265, loss: 0.0430 +2023-03-04 09:51:18,812 - mmseg - INFO - Iter [146250/160000] lr: 1.172e-06, eta: 0:48:49, time: 0.171, data_time: 0.008, memory: 52541, decode.loss_ce: 0.0418, decode.acc_seg: 98.1634, loss: 0.0418 +2023-03-04 09:51:27,073 - mmseg - INFO - Iter [146300/160000] lr: 1.172e-06, eta: 0:48:38, time: 0.165, data_time: 0.008, memory: 52541, decode.loss_ce: 0.0418, decode.acc_seg: 98.1783, loss: 0.0418 +2023-03-04 09:51:35,387 - mmseg - INFO - Iter [146350/160000] lr: 1.172e-06, eta: 0:48:27, time: 0.166, data_time: 0.008, memory: 52541, decode.loss_ce: 0.0412, decode.acc_seg: 98.1776, loss: 0.0412 +2023-03-04 09:51:46,642 - mmseg - INFO - Iter [146400/160000] lr: 1.172e-06, eta: 0:48:16, time: 0.225, data_time: 0.053, memory: 52541, decode.loss_ce: 0.0420, decode.acc_seg: 98.1687, loss: 0.0420 +2023-03-04 09:51:55,106 - mmseg - INFO - Iter [146450/160000] lr: 1.172e-06, eta: 0:48:06, time: 0.169, data_time: 0.007, memory: 52541, decode.loss_ce: 0.0444, decode.acc_seg: 98.0820, loss: 0.0444 +2023-03-04 09:52:03,390 - mmseg - INFO - Iter [146500/160000] lr: 1.172e-06, eta: 0:47:55, time: 0.166, data_time: 0.007, memory: 52541, decode.loss_ce: 0.0426, decode.acc_seg: 98.1604, loss: 0.0426 +2023-03-04 09:52:11,743 - mmseg - INFO - Iter [146550/160000] lr: 1.172e-06, eta: 0:47:44, time: 0.167, data_time: 0.007, memory: 52541, decode.loss_ce: 0.0417, decode.acc_seg: 98.1750, loss: 0.0417 +2023-03-04 09:52:20,187 - mmseg - INFO - Iter [146600/160000] lr: 1.172e-06, eta: 0:47:33, time: 0.169, data_time: 0.008, memory: 52541, decode.loss_ce: 0.0428, decode.acc_seg: 98.1266, loss: 0.0428 +2023-03-04 09:52:28,786 - mmseg - INFO - Iter [146650/160000] lr: 1.172e-06, eta: 0:47:22, time: 0.172, data_time: 0.008, memory: 52541, decode.loss_ce: 0.0424, decode.acc_seg: 98.1718, loss: 0.0424 +2023-03-04 09:52:37,337 - mmseg - INFO - Iter [146700/160000] lr: 1.172e-06, eta: 0:47:11, time: 0.171, data_time: 0.007, memory: 52541, decode.loss_ce: 0.0413, decode.acc_seg: 98.1469, loss: 0.0413 +2023-03-04 09:52:45,907 - mmseg - INFO - Iter [146750/160000] lr: 1.172e-06, eta: 0:47:00, time: 0.171, data_time: 0.007, memory: 52541, decode.loss_ce: 0.0420, decode.acc_seg: 98.1562, loss: 0.0420 +2023-03-04 09:52:54,338 - mmseg - INFO - Iter [146800/160000] lr: 1.172e-06, eta: 0:46:50, time: 0.169, data_time: 0.007, memory: 52541, decode.loss_ce: 0.0410, decode.acc_seg: 98.1871, loss: 0.0410 +2023-03-04 09:53:02,692 - mmseg - INFO - Iter [146850/160000] lr: 1.172e-06, eta: 0:46:39, time: 0.167, data_time: 0.007, memory: 52541, decode.loss_ce: 0.0419, decode.acc_seg: 98.1707, loss: 0.0419 +2023-03-04 09:53:11,036 - mmseg - INFO - Iter [146900/160000] lr: 1.172e-06, eta: 0:46:28, time: 0.167, data_time: 0.008, memory: 52541, decode.loss_ce: 0.0407, decode.acc_seg: 98.2019, loss: 0.0407 +2023-03-04 09:53:19,782 - mmseg - INFO - Iter [146950/160000] lr: 1.172e-06, eta: 0:46:17, time: 0.175, data_time: 0.007, memory: 52541, decode.loss_ce: 0.0433, decode.acc_seg: 98.0949, loss: 0.0433 +2023-03-04 09:53:28,336 - mmseg - INFO - Exp name: ablation_segformer_mit_b2_segformer_head_unet_fc_small_multi_step_ade_pretrained_freeze_embed_160k_ade20k151_finetune_ema_wgt.py +2023-03-04 09:53:28,337 - mmseg - INFO - Iter [147000/160000] lr: 1.172e-06, eta: 0:46:06, time: 0.171, data_time: 0.007, memory: 52541, decode.loss_ce: 0.0423, decode.acc_seg: 98.1565, loss: 0.0423 +2023-03-04 09:53:39,283 - mmseg - INFO - Iter [147050/160000] lr: 1.172e-06, eta: 0:45:56, time: 0.219, data_time: 0.054, memory: 52541, decode.loss_ce: 0.0406, decode.acc_seg: 98.2340, loss: 0.0406 +2023-03-04 09:53:47,784 - mmseg - INFO - Iter [147100/160000] lr: 1.172e-06, eta: 0:45:45, time: 0.170, data_time: 0.008, memory: 52541, decode.loss_ce: 0.0420, decode.acc_seg: 98.1612, loss: 0.0420 +2023-03-04 09:53:56,081 - mmseg - INFO - Iter [147150/160000] lr: 1.172e-06, eta: 0:45:34, time: 0.166, data_time: 0.008, memory: 52541, decode.loss_ce: 0.0410, decode.acc_seg: 98.2052, loss: 0.0410 +2023-03-04 09:54:05,103 - mmseg - INFO - Iter [147200/160000] lr: 1.172e-06, eta: 0:45:23, time: 0.181, data_time: 0.007, memory: 52541, decode.loss_ce: 0.0428, decode.acc_seg: 98.1288, loss: 0.0428 +2023-03-04 09:54:14,121 - mmseg - INFO - Iter [147250/160000] lr: 1.172e-06, eta: 0:45:12, time: 0.180, data_time: 0.006, memory: 52541, decode.loss_ce: 0.0424, decode.acc_seg: 98.1389, loss: 0.0424 +2023-03-04 09:54:22,901 - mmseg - INFO - Iter [147300/160000] lr: 1.172e-06, eta: 0:45:02, time: 0.176, data_time: 0.007, memory: 52541, decode.loss_ce: 0.0395, decode.acc_seg: 98.2404, loss: 0.0395 +2023-03-04 09:54:31,331 - mmseg - INFO - Iter [147350/160000] lr: 1.172e-06, eta: 0:44:51, time: 0.169, data_time: 0.008, memory: 52541, decode.loss_ce: 0.0409, decode.acc_seg: 98.1931, loss: 0.0409 +2023-03-04 09:54:39,586 - mmseg - INFO - Iter [147400/160000] lr: 1.172e-06, eta: 0:44:40, time: 0.165, data_time: 0.007, memory: 52541, decode.loss_ce: 0.0415, decode.acc_seg: 98.1852, loss: 0.0415 +2023-03-04 09:54:47,709 - mmseg - INFO - Iter [147450/160000] lr: 1.172e-06, eta: 0:44:29, time: 0.162, data_time: 0.007, memory: 52541, decode.loss_ce: 0.0415, decode.acc_seg: 98.1644, loss: 0.0415 +2023-03-04 09:54:55,783 - mmseg - INFO - Iter [147500/160000] lr: 1.172e-06, eta: 0:44:18, time: 0.161, data_time: 0.007, memory: 52541, decode.loss_ce: 0.0429, decode.acc_seg: 98.0953, loss: 0.0429 +2023-03-04 09:55:04,208 - mmseg - INFO - Iter [147550/160000] lr: 1.172e-06, eta: 0:44:07, time: 0.169, data_time: 0.008, memory: 52541, decode.loss_ce: 0.0428, decode.acc_seg: 98.1205, loss: 0.0428 +2023-03-04 09:55:12,671 - mmseg - INFO - Iter [147600/160000] lr: 1.172e-06, eta: 0:43:57, time: 0.169, data_time: 0.007, memory: 52541, decode.loss_ce: 0.0410, decode.acc_seg: 98.1787, loss: 0.0410 +2023-03-04 09:55:21,326 - mmseg - INFO - Iter [147650/160000] lr: 1.172e-06, eta: 0:43:46, time: 0.173, data_time: 0.007, memory: 52541, decode.loss_ce: 0.0433, decode.acc_seg: 98.1007, loss: 0.0433 +2023-03-04 09:55:31,998 - mmseg - INFO - Iter [147700/160000] lr: 1.172e-06, eta: 0:43:35, time: 0.213, data_time: 0.053, memory: 52541, decode.loss_ce: 0.0424, decode.acc_seg: 98.1850, loss: 0.0424 +2023-03-04 09:55:40,813 - mmseg - INFO - Iter [147750/160000] lr: 1.172e-06, eta: 0:43:24, time: 0.176, data_time: 0.008, memory: 52541, decode.loss_ce: 0.0424, decode.acc_seg: 98.1345, loss: 0.0424 +2023-03-04 09:55:49,678 - mmseg - INFO - Iter [147800/160000] lr: 1.172e-06, eta: 0:43:14, time: 0.177, data_time: 0.007, memory: 52541, decode.loss_ce: 0.0403, decode.acc_seg: 98.2285, loss: 0.0403 +2023-03-04 09:55:58,369 - mmseg - INFO - Iter [147850/160000] lr: 1.172e-06, eta: 0:43:03, time: 0.174, data_time: 0.007, memory: 52541, decode.loss_ce: 0.0429, decode.acc_seg: 98.1354, loss: 0.0429 +2023-03-04 09:56:06,796 - mmseg - INFO - Iter [147900/160000] lr: 1.172e-06, eta: 0:42:52, time: 0.169, data_time: 0.008, memory: 52541, decode.loss_ce: 0.0402, decode.acc_seg: 98.2441, loss: 0.0402 +2023-03-04 09:56:15,463 - mmseg - INFO - Iter [147950/160000] lr: 1.172e-06, eta: 0:42:41, time: 0.173, data_time: 0.008, memory: 52541, decode.loss_ce: 0.0422, decode.acc_seg: 98.1575, loss: 0.0422 +2023-03-04 09:56:23,739 - mmseg - INFO - Exp name: ablation_segformer_mit_b2_segformer_head_unet_fc_small_multi_step_ade_pretrained_freeze_embed_160k_ade20k151_finetune_ema_wgt.py +2023-03-04 09:56:23,739 - mmseg - INFO - Iter [148000/160000] lr: 1.172e-06, eta: 0:42:30, time: 0.166, data_time: 0.007, memory: 52541, decode.loss_ce: 0.0431, decode.acc_seg: 98.1372, loss: 0.0431 +2023-03-04 09:56:32,434 - mmseg - INFO - Iter [148050/160000] lr: 1.172e-06, eta: 0:42:20, time: 0.174, data_time: 0.008, memory: 52541, decode.loss_ce: 0.0423, decode.acc_seg: 98.1258, loss: 0.0423 +2023-03-04 09:56:41,014 - mmseg - INFO - Iter [148100/160000] lr: 1.172e-06, eta: 0:42:09, time: 0.172, data_time: 0.007, memory: 52541, decode.loss_ce: 0.0403, decode.acc_seg: 98.2234, loss: 0.0403 +2023-03-04 09:56:49,102 - mmseg - INFO - Iter [148150/160000] lr: 1.172e-06, eta: 0:41:58, time: 0.162, data_time: 0.008, memory: 52541, decode.loss_ce: 0.0409, decode.acc_seg: 98.1923, loss: 0.0409 +2023-03-04 09:56:57,563 - mmseg - INFO - Iter [148200/160000] lr: 1.172e-06, eta: 0:41:47, time: 0.169, data_time: 0.008, memory: 52541, decode.loss_ce: 0.0417, decode.acc_seg: 98.1484, loss: 0.0417 +2023-03-04 09:57:05,858 - mmseg - INFO - Iter [148250/160000] lr: 1.172e-06, eta: 0:41:36, time: 0.166, data_time: 0.008, memory: 52541, decode.loss_ce: 0.0411, decode.acc_seg: 98.1723, loss: 0.0411 +2023-03-04 09:57:16,619 - mmseg - INFO - Iter [148300/160000] lr: 1.172e-06, eta: 0:41:26, time: 0.216, data_time: 0.055, memory: 52541, decode.loss_ce: 0.0433, decode.acc_seg: 98.1027, loss: 0.0433 +2023-03-04 09:57:24,804 - mmseg - INFO - Iter [148350/160000] lr: 1.172e-06, eta: 0:41:15, time: 0.164, data_time: 0.007, memory: 52541, decode.loss_ce: 0.0430, decode.acc_seg: 98.1245, loss: 0.0430 +2023-03-04 09:57:32,957 - mmseg - INFO - Iter [148400/160000] lr: 1.172e-06, eta: 0:41:04, time: 0.163, data_time: 0.008, memory: 52541, decode.loss_ce: 0.0454, decode.acc_seg: 98.0016, loss: 0.0454 +2023-03-04 09:57:41,487 - mmseg - INFO - Iter [148450/160000] lr: 1.172e-06, eta: 0:40:53, time: 0.171, data_time: 0.008, memory: 52541, decode.loss_ce: 0.0425, decode.acc_seg: 98.1397, loss: 0.0425 +2023-03-04 09:57:50,398 - mmseg - INFO - Iter [148500/160000] lr: 1.172e-06, eta: 0:40:43, time: 0.178, data_time: 0.007, memory: 52541, decode.loss_ce: 0.0427, decode.acc_seg: 98.1580, loss: 0.0427 +2023-03-04 09:57:58,826 - mmseg - INFO - Iter [148550/160000] lr: 1.172e-06, eta: 0:40:32, time: 0.169, data_time: 0.007, memory: 52541, decode.loss_ce: 0.0403, decode.acc_seg: 98.2231, loss: 0.0403 +2023-03-04 09:58:07,382 - mmseg - INFO - Iter [148600/160000] lr: 1.172e-06, eta: 0:40:21, time: 0.171, data_time: 0.007, memory: 52541, decode.loss_ce: 0.0424, decode.acc_seg: 98.1249, loss: 0.0424 +2023-03-04 09:58:16,049 - mmseg - INFO - Iter [148650/160000] lr: 1.172e-06, eta: 0:40:10, time: 0.174, data_time: 0.008, memory: 52541, decode.loss_ce: 0.0396, decode.acc_seg: 98.2737, loss: 0.0396 +2023-03-04 09:58:24,229 - mmseg - INFO - Iter [148700/160000] lr: 1.172e-06, eta: 0:39:59, time: 0.164, data_time: 0.008, memory: 52541, decode.loss_ce: 0.0416, decode.acc_seg: 98.1662, loss: 0.0416 +2023-03-04 09:58:32,627 - mmseg - INFO - Iter [148750/160000] lr: 1.172e-06, eta: 0:39:49, time: 0.168, data_time: 0.007, memory: 52541, decode.loss_ce: 0.0395, decode.acc_seg: 98.2772, loss: 0.0395 +2023-03-04 09:58:41,160 - mmseg - INFO - Iter [148800/160000] lr: 1.172e-06, eta: 0:39:38, time: 0.171, data_time: 0.007, memory: 52541, decode.loss_ce: 0.0445, decode.acc_seg: 98.0478, loss: 0.0445 +2023-03-04 09:58:49,634 - mmseg - INFO - Iter [148850/160000] lr: 1.172e-06, eta: 0:39:27, time: 0.169, data_time: 0.007, memory: 52541, decode.loss_ce: 0.0435, decode.acc_seg: 98.0835, loss: 0.0435 +2023-03-04 09:58:58,528 - mmseg - INFO - Iter [148900/160000] lr: 1.172e-06, eta: 0:39:16, time: 0.178, data_time: 0.008, memory: 52541, decode.loss_ce: 0.0428, decode.acc_seg: 98.1633, loss: 0.0428 +2023-03-04 09:59:09,523 - mmseg - INFO - Iter [148950/160000] lr: 1.172e-06, eta: 0:39:06, time: 0.220, data_time: 0.053, memory: 52541, decode.loss_ce: 0.0442, decode.acc_seg: 98.0803, loss: 0.0442 +2023-03-04 09:59:18,184 - mmseg - INFO - Exp name: ablation_segformer_mit_b2_segformer_head_unet_fc_small_multi_step_ade_pretrained_freeze_embed_160k_ade20k151_finetune_ema_wgt.py +2023-03-04 09:59:18,185 - mmseg - INFO - Iter [149000/160000] lr: 1.172e-06, eta: 0:38:55, time: 0.173, data_time: 0.007, memory: 52541, decode.loss_ce: 0.0405, decode.acc_seg: 98.1918, loss: 0.0405 +2023-03-04 09:59:26,355 - mmseg - INFO - Iter [149050/160000] lr: 1.172e-06, eta: 0:38:44, time: 0.163, data_time: 0.007, memory: 52541, decode.loss_ce: 0.0438, decode.acc_seg: 98.0896, loss: 0.0438 +2023-03-04 09:59:34,874 - mmseg - INFO - Iter [149100/160000] lr: 1.172e-06, eta: 0:38:33, time: 0.170, data_time: 0.007, memory: 52541, decode.loss_ce: 0.0429, decode.acc_seg: 98.1351, loss: 0.0429 +2023-03-04 09:59:43,372 - mmseg - INFO - Iter [149150/160000] lr: 1.172e-06, eta: 0:38:23, time: 0.170, data_time: 0.007, memory: 52541, decode.loss_ce: 0.0424, decode.acc_seg: 98.1558, loss: 0.0424 +2023-03-04 09:59:51,483 - mmseg - INFO - Iter [149200/160000] lr: 1.172e-06, eta: 0:38:12, time: 0.162, data_time: 0.007, memory: 52541, decode.loss_ce: 0.0412, decode.acc_seg: 98.1603, loss: 0.0412 +2023-03-04 10:00:00,272 - mmseg - INFO - Iter [149250/160000] lr: 1.172e-06, eta: 0:38:01, time: 0.176, data_time: 0.007, memory: 52541, decode.loss_ce: 0.0423, decode.acc_seg: 98.1234, loss: 0.0423 +2023-03-04 10:00:08,678 - mmseg - INFO - Iter [149300/160000] lr: 1.172e-06, eta: 0:37:50, time: 0.168, data_time: 0.007, memory: 52541, decode.loss_ce: 0.0415, decode.acc_seg: 98.1744, loss: 0.0415 +2023-03-04 10:00:17,408 - mmseg - INFO - Iter [149350/160000] lr: 1.172e-06, eta: 0:37:40, time: 0.175, data_time: 0.007, memory: 52541, decode.loss_ce: 0.0412, decode.acc_seg: 98.1950, loss: 0.0412 +2023-03-04 10:00:25,618 - mmseg - INFO - Iter [149400/160000] lr: 1.172e-06, eta: 0:37:29, time: 0.164, data_time: 0.007, memory: 52541, decode.loss_ce: 0.0435, decode.acc_seg: 98.1311, loss: 0.0435 +2023-03-04 10:00:33,865 - mmseg - INFO - Iter [149450/160000] lr: 1.172e-06, eta: 0:37:18, time: 0.165, data_time: 0.007, memory: 52541, decode.loss_ce: 0.0437, decode.acc_seg: 98.1228, loss: 0.0437 +2023-03-04 10:00:42,133 - mmseg - INFO - Iter [149500/160000] lr: 1.172e-06, eta: 0:37:07, time: 0.165, data_time: 0.007, memory: 52541, decode.loss_ce: 0.0429, decode.acc_seg: 98.1332, loss: 0.0429 +2023-03-04 10:00:53,103 - mmseg - INFO - Iter [149550/160000] lr: 1.172e-06, eta: 0:36:57, time: 0.219, data_time: 0.057, memory: 52541, decode.loss_ce: 0.0422, decode.acc_seg: 98.1677, loss: 0.0422 +2023-03-04 10:01:01,408 - mmseg - INFO - Iter [149600/160000] lr: 1.172e-06, eta: 0:36:46, time: 0.166, data_time: 0.008, memory: 52541, decode.loss_ce: 0.0421, decode.acc_seg: 98.1628, loss: 0.0421 +2023-03-04 10:01:10,034 - mmseg - INFO - Iter [149650/160000] lr: 1.172e-06, eta: 0:36:35, time: 0.172, data_time: 0.007, memory: 52541, decode.loss_ce: 0.0435, decode.acc_seg: 98.1093, loss: 0.0435 +2023-03-04 10:01:18,566 - mmseg - INFO - Iter [149700/160000] lr: 1.172e-06, eta: 0:36:24, time: 0.171, data_time: 0.007, memory: 52541, decode.loss_ce: 0.0416, decode.acc_seg: 98.1618, loss: 0.0416 +2023-03-04 10:01:26,766 - mmseg - INFO - Iter [149750/160000] lr: 1.172e-06, eta: 0:36:14, time: 0.164, data_time: 0.007, memory: 52541, decode.loss_ce: 0.0396, decode.acc_seg: 98.2963, loss: 0.0396 +2023-03-04 10:01:34,962 - mmseg - INFO - Iter [149800/160000] lr: 1.172e-06, eta: 0:36:03, time: 0.164, data_time: 0.007, memory: 52541, decode.loss_ce: 0.0440, decode.acc_seg: 98.0805, loss: 0.0440 +2023-03-04 10:01:43,609 - mmseg - INFO - Iter [149850/160000] lr: 1.172e-06, eta: 0:35:52, time: 0.173, data_time: 0.007, memory: 52541, decode.loss_ce: 0.0413, decode.acc_seg: 98.1572, loss: 0.0413 +2023-03-04 10:01:51,623 - mmseg - INFO - Iter [149900/160000] lr: 1.172e-06, eta: 0:35:41, time: 0.160, data_time: 0.008, memory: 52541, decode.loss_ce: 0.0410, decode.acc_seg: 98.1943, loss: 0.0410 +2023-03-04 10:02:00,159 - mmseg - INFO - Iter [149950/160000] lr: 1.172e-06, eta: 0:35:31, time: 0.171, data_time: 0.008, memory: 52541, decode.loss_ce: 0.0413, decode.acc_seg: 98.1606, loss: 0.0413 +2023-03-04 10:02:08,663 - mmseg - INFO - Exp name: ablation_segformer_mit_b2_segformer_head_unet_fc_small_multi_step_ade_pretrained_freeze_embed_160k_ade20k151_finetune_ema_wgt.py +2023-03-04 10:02:08,663 - mmseg - INFO - Iter [150000/160000] lr: 1.172e-06, eta: 0:35:20, time: 0.170, data_time: 0.007, memory: 52541, decode.loss_ce: 0.0432, decode.acc_seg: 98.1413, loss: 0.0432 +2023-03-04 10:02:16,864 - mmseg - INFO - Iter [150050/160000] lr: 1.172e-06, eta: 0:35:09, time: 0.164, data_time: 0.008, memory: 52541, decode.loss_ce: 0.0442, decode.acc_seg: 98.0747, loss: 0.0442 +2023-03-04 10:02:25,107 - mmseg - INFO - Iter [150100/160000] lr: 1.172e-06, eta: 0:34:58, time: 0.165, data_time: 0.007, memory: 52541, decode.loss_ce: 0.0429, decode.acc_seg: 98.1462, loss: 0.0429 +2023-03-04 10:02:33,246 - mmseg - INFO - Iter [150150/160000] lr: 1.172e-06, eta: 0:34:48, time: 0.163, data_time: 0.007, memory: 52541, decode.loss_ce: 0.0413, decode.acc_seg: 98.1754, loss: 0.0413 +2023-03-04 10:02:44,051 - mmseg - INFO - Iter [150200/160000] lr: 1.172e-06, eta: 0:34:37, time: 0.216, data_time: 0.053, memory: 52541, decode.loss_ce: 0.0440, decode.acc_seg: 98.0752, loss: 0.0440 +2023-03-04 10:02:52,495 - mmseg - INFO - Iter [150250/160000] lr: 1.172e-06, eta: 0:34:26, time: 0.169, data_time: 0.007, memory: 52541, decode.loss_ce: 0.0428, decode.acc_seg: 98.1309, loss: 0.0428 +2023-03-04 10:03:00,567 - mmseg - INFO - Iter [150300/160000] lr: 1.172e-06, eta: 0:34:16, time: 0.162, data_time: 0.008, memory: 52541, decode.loss_ce: 0.0447, decode.acc_seg: 98.0638, loss: 0.0447 +2023-03-04 10:03:08,747 - mmseg - INFO - Iter [150350/160000] lr: 1.172e-06, eta: 0:34:05, time: 0.164, data_time: 0.007, memory: 52541, decode.loss_ce: 0.0418, decode.acc_seg: 98.1707, loss: 0.0418 +2023-03-04 10:03:17,112 - mmseg - INFO - Iter [150400/160000] lr: 1.172e-06, eta: 0:33:54, time: 0.167, data_time: 0.007, memory: 52541, decode.loss_ce: 0.0447, decode.acc_seg: 98.0548, loss: 0.0447 +2023-03-04 10:03:25,777 - mmseg - INFO - Iter [150450/160000] lr: 1.172e-06, eta: 0:33:43, time: 0.173, data_time: 0.008, memory: 52541, decode.loss_ce: 0.0390, decode.acc_seg: 98.2861, loss: 0.0390 +2023-03-04 10:03:34,291 - mmseg - INFO - Iter [150500/160000] lr: 1.172e-06, eta: 0:33:33, time: 0.170, data_time: 0.007, memory: 52541, decode.loss_ce: 0.0427, decode.acc_seg: 98.1187, loss: 0.0427 +2023-03-04 10:03:42,798 - mmseg - INFO - Iter [150550/160000] lr: 1.172e-06, eta: 0:33:22, time: 0.170, data_time: 0.008, memory: 52541, decode.loss_ce: 0.0433, decode.acc_seg: 98.1082, loss: 0.0433 +2023-03-04 10:03:50,883 - mmseg - INFO - Iter [150600/160000] lr: 1.172e-06, eta: 0:33:11, time: 0.162, data_time: 0.007, memory: 52541, decode.loss_ce: 0.0399, decode.acc_seg: 98.2074, loss: 0.0399 +2023-03-04 10:03:59,006 - mmseg - INFO - Iter [150650/160000] lr: 1.172e-06, eta: 0:33:00, time: 0.162, data_time: 0.007, memory: 52541, decode.loss_ce: 0.0408, decode.acc_seg: 98.2146, loss: 0.0408 +2023-03-04 10:04:07,408 - mmseg - INFO - Iter [150700/160000] lr: 1.172e-06, eta: 0:32:50, time: 0.168, data_time: 0.007, memory: 52541, decode.loss_ce: 0.0412, decode.acc_seg: 98.1972, loss: 0.0412 +2023-03-04 10:04:15,607 - mmseg - INFO - Iter [150750/160000] lr: 1.172e-06, eta: 0:32:39, time: 0.164, data_time: 0.008, memory: 52541, decode.loss_ce: 0.0425, decode.acc_seg: 98.1221, loss: 0.0425 +2023-03-04 10:04:23,860 - mmseg - INFO - Iter [150800/160000] lr: 1.172e-06, eta: 0:32:28, time: 0.165, data_time: 0.007, memory: 52541, decode.loss_ce: 0.0446, decode.acc_seg: 98.0633, loss: 0.0446 +2023-03-04 10:04:34,734 - mmseg - INFO - Iter [150850/160000] lr: 1.172e-06, eta: 0:32:18, time: 0.217, data_time: 0.057, memory: 52541, decode.loss_ce: 0.0424, decode.acc_seg: 98.1361, loss: 0.0424 +2023-03-04 10:04:42,973 - mmseg - INFO - Iter [150900/160000] lr: 1.172e-06, eta: 0:32:07, time: 0.165, data_time: 0.007, memory: 52541, decode.loss_ce: 0.0446, decode.acc_seg: 98.0818, loss: 0.0446 +2023-03-04 10:04:51,216 - mmseg - INFO - Iter [150950/160000] lr: 1.172e-06, eta: 0:31:56, time: 0.165, data_time: 0.007, memory: 52541, decode.loss_ce: 0.0420, decode.acc_seg: 98.1640, loss: 0.0420 +2023-03-04 10:04:59,819 - mmseg - INFO - Exp name: ablation_segformer_mit_b2_segformer_head_unet_fc_small_multi_step_ade_pretrained_freeze_embed_160k_ade20k151_finetune_ema_wgt.py +2023-03-04 10:04:59,819 - mmseg - INFO - Iter [151000/160000] lr: 1.172e-06, eta: 0:31:45, time: 0.172, data_time: 0.007, memory: 52541, decode.loss_ce: 0.0414, decode.acc_seg: 98.1782, loss: 0.0414 +2023-03-04 10:05:07,894 - mmseg - INFO - Iter [151050/160000] lr: 1.172e-06, eta: 0:31:35, time: 0.161, data_time: 0.007, memory: 52541, decode.loss_ce: 0.0430, decode.acc_seg: 98.1097, loss: 0.0430 +2023-03-04 10:05:16,375 - mmseg - INFO - Iter [151100/160000] lr: 1.172e-06, eta: 0:31:24, time: 0.170, data_time: 0.007, memory: 52541, decode.loss_ce: 0.0410, decode.acc_seg: 98.1774, loss: 0.0410 +2023-03-04 10:05:24,871 - mmseg - INFO - Iter [151150/160000] lr: 1.172e-06, eta: 0:31:13, time: 0.170, data_time: 0.008, memory: 52541, decode.loss_ce: 0.0415, decode.acc_seg: 98.1456, loss: 0.0415 +2023-03-04 10:05:33,786 - mmseg - INFO - Iter [151200/160000] lr: 1.172e-06, eta: 0:31:03, time: 0.178, data_time: 0.006, memory: 52541, decode.loss_ce: 0.0410, decode.acc_seg: 98.1918, loss: 0.0410 +2023-03-04 10:05:42,447 - mmseg - INFO - Iter [151250/160000] lr: 1.172e-06, eta: 0:30:52, time: 0.173, data_time: 0.007, memory: 52541, decode.loss_ce: 0.0386, decode.acc_seg: 98.2895, loss: 0.0386 +2023-03-04 10:05:50,865 - mmseg - INFO - Iter [151300/160000] lr: 1.172e-06, eta: 0:30:41, time: 0.169, data_time: 0.008, memory: 52541, decode.loss_ce: 0.0435, decode.acc_seg: 98.0934, loss: 0.0435 +2023-03-04 10:05:59,426 - mmseg - INFO - Iter [151350/160000] lr: 1.172e-06, eta: 0:30:30, time: 0.171, data_time: 0.007, memory: 52541, decode.loss_ce: 0.0453, decode.acc_seg: 98.0553, loss: 0.0453 +2023-03-04 10:06:07,638 - mmseg - INFO - Iter [151400/160000] lr: 1.172e-06, eta: 0:30:20, time: 0.164, data_time: 0.007, memory: 52541, decode.loss_ce: 0.0394, decode.acc_seg: 98.2710, loss: 0.0394 +2023-03-04 10:06:18,238 - mmseg - INFO - Iter [151450/160000] lr: 1.172e-06, eta: 0:30:09, time: 0.212, data_time: 0.056, memory: 52541, decode.loss_ce: 0.0430, decode.acc_seg: 98.1385, loss: 0.0430 +2023-03-04 10:06:26,667 - mmseg - INFO - Iter [151500/160000] lr: 1.172e-06, eta: 0:29:58, time: 0.169, data_time: 0.007, memory: 52541, decode.loss_ce: 0.0437, decode.acc_seg: 98.1125, loss: 0.0437 +2023-03-04 10:06:34,985 - mmseg - INFO - Iter [151550/160000] lr: 1.172e-06, eta: 0:29:48, time: 0.166, data_time: 0.007, memory: 52541, decode.loss_ce: 0.0441, decode.acc_seg: 98.0652, loss: 0.0441 +2023-03-04 10:06:43,689 - mmseg - INFO - Iter [151600/160000] lr: 1.172e-06, eta: 0:29:37, time: 0.174, data_time: 0.007, memory: 52541, decode.loss_ce: 0.0422, decode.acc_seg: 98.1567, loss: 0.0422 +2023-03-04 10:06:52,370 - mmseg - INFO - Iter [151650/160000] lr: 1.172e-06, eta: 0:29:26, time: 0.174, data_time: 0.007, memory: 52541, decode.loss_ce: 0.0411, decode.acc_seg: 98.1886, loss: 0.0411 +2023-03-04 10:07:01,110 - mmseg - INFO - Iter [151700/160000] lr: 1.172e-06, eta: 0:29:16, time: 0.175, data_time: 0.007, memory: 52541, decode.loss_ce: 0.0422, decode.acc_seg: 98.1564, loss: 0.0422 +2023-03-04 10:07:09,329 - mmseg - INFO - Iter [151750/160000] lr: 1.172e-06, eta: 0:29:05, time: 0.164, data_time: 0.007, memory: 52541, decode.loss_ce: 0.0406, decode.acc_seg: 98.1944, loss: 0.0406 +2023-03-04 10:07:17,732 - mmseg - INFO - Iter [151800/160000] lr: 1.172e-06, eta: 0:28:54, time: 0.168, data_time: 0.007, memory: 52541, decode.loss_ce: 0.0422, decode.acc_seg: 98.1553, loss: 0.0422 +2023-03-04 10:07:25,973 - mmseg - INFO - Iter [151850/160000] lr: 1.172e-06, eta: 0:28:44, time: 0.165, data_time: 0.007, memory: 52541, decode.loss_ce: 0.0408, decode.acc_seg: 98.1828, loss: 0.0408 +2023-03-04 10:07:34,774 - mmseg - INFO - Iter [151900/160000] lr: 1.172e-06, eta: 0:28:33, time: 0.176, data_time: 0.006, memory: 52541, decode.loss_ce: 0.0422, decode.acc_seg: 98.2089, loss: 0.0422 +2023-03-04 10:07:43,047 - mmseg - INFO - Iter [151950/160000] lr: 1.172e-06, eta: 0:28:22, time: 0.165, data_time: 0.007, memory: 52541, decode.loss_ce: 0.0431, decode.acc_seg: 98.0954, loss: 0.0431 +2023-03-04 10:07:51,561 - mmseg - INFO - Exp name: ablation_segformer_mit_b2_segformer_head_unet_fc_small_multi_step_ade_pretrained_freeze_embed_160k_ade20k151_finetune_ema_wgt.py +2023-03-04 10:07:51,561 - mmseg - INFO - Iter [152000/160000] lr: 1.172e-06, eta: 0:28:12, time: 0.170, data_time: 0.008, memory: 52541, decode.loss_ce: 0.0412, decode.acc_seg: 98.1818, loss: 0.0412 +2023-03-04 10:07:59,744 - mmseg - INFO - Iter [152050/160000] lr: 1.172e-06, eta: 0:28:01, time: 0.164, data_time: 0.007, memory: 52541, decode.loss_ce: 0.0423, decode.acc_seg: 98.1532, loss: 0.0423 +2023-03-04 10:08:10,342 - mmseg - INFO - Iter [152100/160000] lr: 1.172e-06, eta: 0:27:50, time: 0.212, data_time: 0.054, memory: 52541, decode.loss_ce: 0.0436, decode.acc_seg: 98.1197, loss: 0.0436 +2023-03-04 10:08:18,368 - mmseg - INFO - Iter [152150/160000] lr: 1.172e-06, eta: 0:27:40, time: 0.161, data_time: 0.007, memory: 52541, decode.loss_ce: 0.0401, decode.acc_seg: 98.2114, loss: 0.0401 +2023-03-04 10:08:26,815 - mmseg - INFO - Iter [152200/160000] lr: 1.172e-06, eta: 0:27:29, time: 0.169, data_time: 0.008, memory: 52541, decode.loss_ce: 0.0435, decode.acc_seg: 98.1106, loss: 0.0435 +2023-03-04 10:08:35,661 - mmseg - INFO - Iter [152250/160000] lr: 1.172e-06, eta: 0:27:18, time: 0.177, data_time: 0.007, memory: 52541, decode.loss_ce: 0.0422, decode.acc_seg: 98.1675, loss: 0.0422 +2023-03-04 10:08:44,088 - mmseg - INFO - Iter [152300/160000] lr: 1.172e-06, eta: 0:27:08, time: 0.169, data_time: 0.008, memory: 52541, decode.loss_ce: 0.0441, decode.acc_seg: 98.1217, loss: 0.0441 +2023-03-04 10:08:52,831 - mmseg - INFO - Iter [152350/160000] lr: 1.172e-06, eta: 0:26:57, time: 0.175, data_time: 0.007, memory: 52541, decode.loss_ce: 0.0412, decode.acc_seg: 98.1928, loss: 0.0412 +2023-03-04 10:09:01,578 - mmseg - INFO - Iter [152400/160000] lr: 1.172e-06, eta: 0:26:46, time: 0.175, data_time: 0.007, memory: 52541, decode.loss_ce: 0.0423, decode.acc_seg: 98.1187, loss: 0.0423 +2023-03-04 10:09:10,093 - mmseg - INFO - Iter [152450/160000] lr: 1.172e-06, eta: 0:26:36, time: 0.171, data_time: 0.008, memory: 52541, decode.loss_ce: 0.0444, decode.acc_seg: 98.0069, loss: 0.0444 +2023-03-04 10:09:18,257 - mmseg - INFO - Iter [152500/160000] lr: 1.172e-06, eta: 0:26:25, time: 0.163, data_time: 0.007, memory: 52541, decode.loss_ce: 0.0437, decode.acc_seg: 98.1229, loss: 0.0437 +2023-03-04 10:09:26,843 - mmseg - INFO - Iter [152550/160000] lr: 1.172e-06, eta: 0:26:14, time: 0.172, data_time: 0.007, memory: 52541, decode.loss_ce: 0.0420, decode.acc_seg: 98.1631, loss: 0.0420 +2023-03-04 10:09:35,221 - mmseg - INFO - Iter [152600/160000] lr: 1.172e-06, eta: 0:26:04, time: 0.168, data_time: 0.007, memory: 52541, decode.loss_ce: 0.0414, decode.acc_seg: 98.1561, loss: 0.0414 +2023-03-04 10:09:43,344 - mmseg - INFO - Iter [152650/160000] lr: 1.172e-06, eta: 0:25:53, time: 0.162, data_time: 0.007, memory: 52541, decode.loss_ce: 0.0422, decode.acc_seg: 98.1514, loss: 0.0422 +2023-03-04 10:09:51,628 - mmseg - INFO - Iter [152700/160000] lr: 1.172e-06, eta: 0:25:42, time: 0.166, data_time: 0.007, memory: 52541, decode.loss_ce: 0.0400, decode.acc_seg: 98.2554, loss: 0.0400 +2023-03-04 10:10:02,718 - mmseg - INFO - Iter [152750/160000] lr: 1.172e-06, eta: 0:25:32, time: 0.222, data_time: 0.054, memory: 52541, decode.loss_ce: 0.0442, decode.acc_seg: 98.0703, loss: 0.0442 +2023-03-04 10:10:11,302 - mmseg - INFO - Iter [152800/160000] lr: 1.172e-06, eta: 0:25:21, time: 0.172, data_time: 0.008, memory: 52541, decode.loss_ce: 0.0423, decode.acc_seg: 98.1315, loss: 0.0423 +2023-03-04 10:10:19,730 - mmseg - INFO - Iter [152850/160000] lr: 1.172e-06, eta: 0:25:10, time: 0.168, data_time: 0.008, memory: 52541, decode.loss_ce: 0.0409, decode.acc_seg: 98.2087, loss: 0.0409 +2023-03-04 10:10:28,514 - mmseg - INFO - Iter [152900/160000] lr: 1.172e-06, eta: 0:25:00, time: 0.176, data_time: 0.007, memory: 52541, decode.loss_ce: 0.0435, decode.acc_seg: 98.1021, loss: 0.0435 +2023-03-04 10:10:36,738 - mmseg - INFO - Iter [152950/160000] lr: 1.172e-06, eta: 0:24:49, time: 0.165, data_time: 0.008, memory: 52541, decode.loss_ce: 0.0397, decode.acc_seg: 98.2198, loss: 0.0397 +2023-03-04 10:10:45,228 - mmseg - INFO - Exp name: ablation_segformer_mit_b2_segformer_head_unet_fc_small_multi_step_ade_pretrained_freeze_embed_160k_ade20k151_finetune_ema_wgt.py +2023-03-04 10:10:45,229 - mmseg - INFO - Iter [153000/160000] lr: 1.172e-06, eta: 0:24:38, time: 0.170, data_time: 0.007, memory: 52541, decode.loss_ce: 0.0401, decode.acc_seg: 98.2425, loss: 0.0401 +2023-03-04 10:10:53,526 - mmseg - INFO - Iter [153050/160000] lr: 1.172e-06, eta: 0:24:28, time: 0.166, data_time: 0.008, memory: 52541, decode.loss_ce: 0.0421, decode.acc_seg: 98.1462, loss: 0.0421 +2023-03-04 10:11:01,994 - mmseg - INFO - Iter [153100/160000] lr: 1.172e-06, eta: 0:24:17, time: 0.169, data_time: 0.008, memory: 52541, decode.loss_ce: 0.0445, decode.acc_seg: 98.0474, loss: 0.0445 +2023-03-04 10:11:10,792 - mmseg - INFO - Iter [153150/160000] lr: 1.172e-06, eta: 0:24:06, time: 0.176, data_time: 0.008, memory: 52541, decode.loss_ce: 0.0405, decode.acc_seg: 98.1989, loss: 0.0405 +2023-03-04 10:11:19,224 - mmseg - INFO - Iter [153200/160000] lr: 1.172e-06, eta: 0:23:56, time: 0.169, data_time: 0.007, memory: 52541, decode.loss_ce: 0.0456, decode.acc_seg: 98.0847, loss: 0.0456 +2023-03-04 10:11:28,026 - mmseg - INFO - Iter [153250/160000] lr: 1.172e-06, eta: 0:23:45, time: 0.176, data_time: 0.009, memory: 52541, decode.loss_ce: 0.0417, decode.acc_seg: 98.1535, loss: 0.0417 +2023-03-04 10:11:36,985 - mmseg - INFO - Iter [153300/160000] lr: 1.172e-06, eta: 0:23:34, time: 0.179, data_time: 0.006, memory: 52541, decode.loss_ce: 0.0431, decode.acc_seg: 98.1120, loss: 0.0431 +2023-03-04 10:11:47,811 - mmseg - INFO - Iter [153350/160000] lr: 1.172e-06, eta: 0:23:24, time: 0.217, data_time: 0.057, memory: 52541, decode.loss_ce: 0.0433, decode.acc_seg: 98.0989, loss: 0.0433 +2023-03-04 10:11:56,231 - mmseg - INFO - Iter [153400/160000] lr: 1.172e-06, eta: 0:23:13, time: 0.168, data_time: 0.008, memory: 52541, decode.loss_ce: 0.0410, decode.acc_seg: 98.1775, loss: 0.0410 +2023-03-04 10:12:04,385 - mmseg - INFO - Iter [153450/160000] lr: 1.172e-06, eta: 0:23:03, time: 0.163, data_time: 0.007, memory: 52541, decode.loss_ce: 0.0417, decode.acc_seg: 98.1540, loss: 0.0417 +2023-03-04 10:12:12,881 - mmseg - INFO - Iter [153500/160000] lr: 1.172e-06, eta: 0:22:52, time: 0.170, data_time: 0.007, memory: 52541, decode.loss_ce: 0.0446, decode.acc_seg: 98.0911, loss: 0.0446 +2023-03-04 10:12:21,326 - mmseg - INFO - Iter [153550/160000] lr: 1.172e-06, eta: 0:22:41, time: 0.169, data_time: 0.007, memory: 52541, decode.loss_ce: 0.0418, decode.acc_seg: 98.1763, loss: 0.0418 +2023-03-04 10:12:29,643 - mmseg - INFO - Iter [153600/160000] lr: 1.172e-06, eta: 0:22:31, time: 0.166, data_time: 0.007, memory: 52541, decode.loss_ce: 0.0419, decode.acc_seg: 98.1878, loss: 0.0419 +2023-03-04 10:12:38,046 - mmseg - INFO - Iter [153650/160000] lr: 1.172e-06, eta: 0:22:20, time: 0.168, data_time: 0.007, memory: 52541, decode.loss_ce: 0.0421, decode.acc_seg: 98.1826, loss: 0.0421 +2023-03-04 10:12:46,374 - mmseg - INFO - Iter [153700/160000] lr: 1.172e-06, eta: 0:22:09, time: 0.167, data_time: 0.007, memory: 52541, decode.loss_ce: 0.0412, decode.acc_seg: 98.1602, loss: 0.0412 +2023-03-04 10:12:54,774 - mmseg - INFO - Iter [153750/160000] lr: 1.172e-06, eta: 0:21:59, time: 0.168, data_time: 0.008, memory: 52541, decode.loss_ce: 0.0404, decode.acc_seg: 98.2390, loss: 0.0404 +2023-03-04 10:13:03,031 - mmseg - INFO - Iter [153800/160000] lr: 1.172e-06, eta: 0:21:48, time: 0.165, data_time: 0.007, memory: 52541, decode.loss_ce: 0.0423, decode.acc_seg: 98.1329, loss: 0.0423 +2023-03-04 10:13:11,219 - mmseg - INFO - Iter [153850/160000] lr: 1.172e-06, eta: 0:21:37, time: 0.164, data_time: 0.007, memory: 52541, decode.loss_ce: 0.0404, decode.acc_seg: 98.2025, loss: 0.0404 +2023-03-04 10:13:19,853 - mmseg - INFO - Iter [153900/160000] lr: 1.172e-06, eta: 0:21:27, time: 0.172, data_time: 0.007, memory: 52541, decode.loss_ce: 0.0407, decode.acc_seg: 98.2105, loss: 0.0407 +2023-03-04 10:13:28,213 - mmseg - INFO - Iter [153950/160000] lr: 1.172e-06, eta: 0:21:16, time: 0.167, data_time: 0.008, memory: 52541, decode.loss_ce: 0.0432, decode.acc_seg: 98.1201, loss: 0.0432 +2023-03-04 10:13:38,831 - mmseg - INFO - Exp name: ablation_segformer_mit_b2_segformer_head_unet_fc_small_multi_step_ade_pretrained_freeze_embed_160k_ade20k151_finetune_ema_wgt.py +2023-03-04 10:13:38,831 - mmseg - INFO - Iter [154000/160000] lr: 1.172e-06, eta: 0:21:06, time: 0.213, data_time: 0.057, memory: 52541, decode.loss_ce: 0.0416, decode.acc_seg: 98.1644, loss: 0.0416 +2023-03-04 10:13:47,025 - mmseg - INFO - Iter [154050/160000] lr: 1.172e-06, eta: 0:20:55, time: 0.164, data_time: 0.007, memory: 52541, decode.loss_ce: 0.0417, decode.acc_seg: 98.1551, loss: 0.0417 +2023-03-04 10:13:55,252 - mmseg - INFO - Iter [154100/160000] lr: 1.172e-06, eta: 0:20:44, time: 0.165, data_time: 0.007, memory: 52541, decode.loss_ce: 0.0425, decode.acc_seg: 98.1623, loss: 0.0425 +2023-03-04 10:14:03,363 - mmseg - INFO - Iter [154150/160000] lr: 1.172e-06, eta: 0:20:34, time: 0.162, data_time: 0.007, memory: 52541, decode.loss_ce: 0.0449, decode.acc_seg: 98.0733, loss: 0.0449 +2023-03-04 10:14:11,558 - mmseg - INFO - Iter [154200/160000] lr: 1.172e-06, eta: 0:20:23, time: 0.164, data_time: 0.007, memory: 52541, decode.loss_ce: 0.0437, decode.acc_seg: 98.0803, loss: 0.0437 +2023-03-04 10:14:19,772 - mmseg - INFO - Iter [154250/160000] lr: 1.172e-06, eta: 0:20:12, time: 0.164, data_time: 0.007, memory: 52541, decode.loss_ce: 0.0433, decode.acc_seg: 98.0817, loss: 0.0433 +2023-03-04 10:14:27,919 - mmseg - INFO - Iter [154300/160000] lr: 1.172e-06, eta: 0:20:02, time: 0.163, data_time: 0.008, memory: 52541, decode.loss_ce: 0.0415, decode.acc_seg: 98.1865, loss: 0.0415 +2023-03-04 10:14:36,006 - mmseg - INFO - Iter [154350/160000] lr: 1.172e-06, eta: 0:19:51, time: 0.162, data_time: 0.007, memory: 52541, decode.loss_ce: 0.0418, decode.acc_seg: 98.2094, loss: 0.0418 +2023-03-04 10:14:44,154 - mmseg - INFO - Iter [154400/160000] lr: 1.172e-06, eta: 0:19:40, time: 0.163, data_time: 0.008, memory: 52541, decode.loss_ce: 0.0409, decode.acc_seg: 98.2236, loss: 0.0409 +2023-03-04 10:14:52,447 - mmseg - INFO - Iter [154450/160000] lr: 1.172e-06, eta: 0:19:30, time: 0.166, data_time: 0.008, memory: 52541, decode.loss_ce: 0.0438, decode.acc_seg: 98.0821, loss: 0.0438 +2023-03-04 10:15:00,763 - mmseg - INFO - Iter [154500/160000] lr: 1.172e-06, eta: 0:19:19, time: 0.166, data_time: 0.007, memory: 52541, decode.loss_ce: 0.0430, decode.acc_seg: 98.1324, loss: 0.0430 +2023-03-04 10:15:08,841 - mmseg - INFO - Iter [154550/160000] lr: 1.172e-06, eta: 0:19:09, time: 0.162, data_time: 0.007, memory: 52541, decode.loss_ce: 0.0431, decode.acc_seg: 98.0883, loss: 0.0431 +2023-03-04 10:15:19,416 - mmseg - INFO - Iter [154600/160000] lr: 1.172e-06, eta: 0:18:58, time: 0.211, data_time: 0.055, memory: 52541, decode.loss_ce: 0.0444, decode.acc_seg: 98.0732, loss: 0.0444 +2023-03-04 10:15:27,495 - mmseg - INFO - Iter [154650/160000] lr: 1.172e-06, eta: 0:18:47, time: 0.162, data_time: 0.007, memory: 52541, decode.loss_ce: 0.0414, decode.acc_seg: 98.1992, loss: 0.0414 +2023-03-04 10:15:35,862 - mmseg - INFO - Iter [154700/160000] lr: 1.172e-06, eta: 0:18:37, time: 0.167, data_time: 0.007, memory: 52541, decode.loss_ce: 0.0453, decode.acc_seg: 98.0547, loss: 0.0453 +2023-03-04 10:15:44,078 - mmseg - INFO - Iter [154750/160000] lr: 1.172e-06, eta: 0:18:26, time: 0.164, data_time: 0.008, memory: 52541, decode.loss_ce: 0.0433, decode.acc_seg: 98.1066, loss: 0.0433 +2023-03-04 10:15:52,115 - mmseg - INFO - Iter [154800/160000] lr: 1.172e-06, eta: 0:18:16, time: 0.161, data_time: 0.007, memory: 52541, decode.loss_ce: 0.0411, decode.acc_seg: 98.2049, loss: 0.0411 +2023-03-04 10:16:00,293 - mmseg - INFO - Iter [154850/160000] lr: 1.172e-06, eta: 0:18:05, time: 0.163, data_time: 0.007, memory: 52541, decode.loss_ce: 0.0400, decode.acc_seg: 98.2558, loss: 0.0400 +2023-03-04 10:16:08,474 - mmseg - INFO - Iter [154900/160000] lr: 1.172e-06, eta: 0:17:54, time: 0.164, data_time: 0.007, memory: 52541, decode.loss_ce: 0.0423, decode.acc_seg: 98.1398, loss: 0.0423 +2023-03-04 10:16:16,567 - mmseg - INFO - Iter [154950/160000] lr: 1.172e-06, eta: 0:17:44, time: 0.162, data_time: 0.007, memory: 52541, decode.loss_ce: 0.0452, decode.acc_seg: 98.0450, loss: 0.0452 +2023-03-04 10:16:24,816 - mmseg - INFO - Exp name: ablation_segformer_mit_b2_segformer_head_unet_fc_small_multi_step_ade_pretrained_freeze_embed_160k_ade20k151_finetune_ema_wgt.py +2023-03-04 10:16:24,816 - mmseg - INFO - Iter [155000/160000] lr: 1.172e-06, eta: 0:17:33, time: 0.165, data_time: 0.007, memory: 52541, decode.loss_ce: 0.0423, decode.acc_seg: 98.1444, loss: 0.0423 +2023-03-04 10:16:33,320 - mmseg - INFO - Iter [155050/160000] lr: 1.172e-06, eta: 0:17:23, time: 0.170, data_time: 0.007, memory: 52541, decode.loss_ce: 0.0403, decode.acc_seg: 98.2476, loss: 0.0403 +2023-03-04 10:16:41,639 - mmseg - INFO - Iter [155100/160000] lr: 1.172e-06, eta: 0:17:12, time: 0.166, data_time: 0.007, memory: 52541, decode.loss_ce: 0.0396, decode.acc_seg: 98.2269, loss: 0.0396 +2023-03-04 10:16:50,107 - mmseg - INFO - Iter [155150/160000] lr: 1.172e-06, eta: 0:17:01, time: 0.169, data_time: 0.007, memory: 52541, decode.loss_ce: 0.0407, decode.acc_seg: 98.2171, loss: 0.0407 +2023-03-04 10:16:58,326 - mmseg - INFO - Iter [155200/160000] lr: 1.172e-06, eta: 0:16:51, time: 0.164, data_time: 0.007, memory: 52541, decode.loss_ce: 0.0409, decode.acc_seg: 98.2053, loss: 0.0409 +2023-03-04 10:17:09,374 - mmseg - INFO - Iter [155250/160000] lr: 1.172e-06, eta: 0:16:40, time: 0.221, data_time: 0.056, memory: 52541, decode.loss_ce: 0.0413, decode.acc_seg: 98.1900, loss: 0.0413 +2023-03-04 10:17:17,971 - mmseg - INFO - Iter [155300/160000] lr: 1.172e-06, eta: 0:16:30, time: 0.172, data_time: 0.007, memory: 52541, decode.loss_ce: 0.0422, decode.acc_seg: 98.1590, loss: 0.0422 +2023-03-04 10:17:26,215 - mmseg - INFO - Iter [155350/160000] lr: 1.172e-06, eta: 0:16:19, time: 0.165, data_time: 0.007, memory: 52541, decode.loss_ce: 0.0408, decode.acc_seg: 98.1875, loss: 0.0408 +2023-03-04 10:17:34,822 - mmseg - INFO - Iter [155400/160000] lr: 1.172e-06, eta: 0:16:08, time: 0.172, data_time: 0.008, memory: 52541, decode.loss_ce: 0.0407, decode.acc_seg: 98.1885, loss: 0.0407 +2023-03-04 10:17:43,132 - mmseg - INFO - Iter [155450/160000] lr: 1.172e-06, eta: 0:15:58, time: 0.166, data_time: 0.007, memory: 52541, decode.loss_ce: 0.0414, decode.acc_seg: 98.1662, loss: 0.0414 +2023-03-04 10:17:51,440 - mmseg - INFO - Iter [155500/160000] lr: 1.172e-06, eta: 0:15:47, time: 0.166, data_time: 0.008, memory: 52541, decode.loss_ce: 0.0410, decode.acc_seg: 98.1853, loss: 0.0410 +2023-03-04 10:18:00,142 - mmseg - INFO - Iter [155550/160000] lr: 1.172e-06, eta: 0:15:37, time: 0.174, data_time: 0.008, memory: 52541, decode.loss_ce: 0.0461, decode.acc_seg: 98.0029, loss: 0.0461 +2023-03-04 10:18:08,501 - mmseg - INFO - Iter [155600/160000] lr: 1.172e-06, eta: 0:15:26, time: 0.167, data_time: 0.007, memory: 52541, decode.loss_ce: 0.0398, decode.acc_seg: 98.2637, loss: 0.0398 +2023-03-04 10:18:16,979 - mmseg - INFO - Iter [155650/160000] lr: 1.172e-06, eta: 0:15:15, time: 0.169, data_time: 0.007, memory: 52541, decode.loss_ce: 0.0436, decode.acc_seg: 98.1121, loss: 0.0436 +2023-03-04 10:18:25,580 - mmseg - INFO - Iter [155700/160000] lr: 1.172e-06, eta: 0:15:05, time: 0.172, data_time: 0.007, memory: 52541, decode.loss_ce: 0.0406, decode.acc_seg: 98.2328, loss: 0.0406 +2023-03-04 10:18:33,959 - mmseg - INFO - Iter [155750/160000] lr: 1.172e-06, eta: 0:14:54, time: 0.167, data_time: 0.007, memory: 52541, decode.loss_ce: 0.0422, decode.acc_seg: 98.1720, loss: 0.0422 +2023-03-04 10:18:42,458 - mmseg - INFO - Iter [155800/160000] lr: 1.172e-06, eta: 0:14:44, time: 0.170, data_time: 0.007, memory: 52541, decode.loss_ce: 0.0416, decode.acc_seg: 98.1747, loss: 0.0416 +2023-03-04 10:18:51,089 - mmseg - INFO - Iter [155850/160000] lr: 1.172e-06, eta: 0:14:33, time: 0.173, data_time: 0.008, memory: 52541, decode.loss_ce: 0.0427, decode.acc_seg: 98.1428, loss: 0.0427 +2023-03-04 10:19:02,219 - mmseg - INFO - Iter [155900/160000] lr: 1.172e-06, eta: 0:14:23, time: 0.223, data_time: 0.055, memory: 52541, decode.loss_ce: 0.0416, decode.acc_seg: 98.1830, loss: 0.0416 +2023-03-04 10:19:10,785 - mmseg - INFO - Iter [155950/160000] lr: 1.172e-06, eta: 0:14:12, time: 0.171, data_time: 0.007, memory: 52541, decode.loss_ce: 0.0424, decode.acc_seg: 98.1373, loss: 0.0424 +2023-03-04 10:19:19,477 - mmseg - INFO - Exp name: ablation_segformer_mit_b2_segformer_head_unet_fc_small_multi_step_ade_pretrained_freeze_embed_160k_ade20k151_finetune_ema_wgt.py +2023-03-04 10:19:19,478 - mmseg - INFO - Iter [156000/160000] lr: 1.172e-06, eta: 0:14:01, time: 0.174, data_time: 0.007, memory: 52541, decode.loss_ce: 0.0409, decode.acc_seg: 98.1956, loss: 0.0409 +2023-03-04 10:19:28,155 - mmseg - INFO - Iter [156050/160000] lr: 1.172e-06, eta: 0:13:51, time: 0.174, data_time: 0.007, memory: 52541, decode.loss_ce: 0.0427, decode.acc_seg: 98.1304, loss: 0.0427 +2023-03-04 10:19:36,258 - mmseg - INFO - Iter [156100/160000] lr: 1.172e-06, eta: 0:13:40, time: 0.162, data_time: 0.007, memory: 52541, decode.loss_ce: 0.0422, decode.acc_seg: 98.1581, loss: 0.0422 +2023-03-04 10:19:44,547 - mmseg - INFO - Iter [156150/160000] lr: 1.172e-06, eta: 0:13:30, time: 0.166, data_time: 0.007, memory: 52541, decode.loss_ce: 0.0420, decode.acc_seg: 98.1456, loss: 0.0420 +2023-03-04 10:19:53,035 - mmseg - INFO - Iter [156200/160000] lr: 1.172e-06, eta: 0:13:19, time: 0.170, data_time: 0.007, memory: 52541, decode.loss_ce: 0.0414, decode.acc_seg: 98.1829, loss: 0.0414 +2023-03-04 10:20:01,200 - mmseg - INFO - Iter [156250/160000] lr: 1.172e-06, eta: 0:13:09, time: 0.163, data_time: 0.007, memory: 52541, decode.loss_ce: 0.0436, decode.acc_seg: 98.1004, loss: 0.0436 +2023-03-04 10:20:09,490 - mmseg - INFO - Iter [156300/160000] lr: 1.172e-06, eta: 0:12:58, time: 0.166, data_time: 0.007, memory: 52541, decode.loss_ce: 0.0420, decode.acc_seg: 98.1801, loss: 0.0420 +2023-03-04 10:20:17,736 - mmseg - INFO - Iter [156350/160000] lr: 1.172e-06, eta: 0:12:47, time: 0.165, data_time: 0.008, memory: 52541, decode.loss_ce: 0.0417, decode.acc_seg: 98.1572, loss: 0.0417 +2023-03-04 10:20:26,070 - mmseg - INFO - Iter [156400/160000] lr: 1.172e-06, eta: 0:12:37, time: 0.166, data_time: 0.007, memory: 52541, decode.loss_ce: 0.0406, decode.acc_seg: 98.2050, loss: 0.0406 +2023-03-04 10:20:34,191 - mmseg - INFO - Iter [156450/160000] lr: 1.172e-06, eta: 0:12:26, time: 0.163, data_time: 0.007, memory: 52541, decode.loss_ce: 0.0447, decode.acc_seg: 98.0997, loss: 0.0447 +2023-03-04 10:20:45,035 - mmseg - INFO - Iter [156500/160000] lr: 1.172e-06, eta: 0:12:16, time: 0.217, data_time: 0.053, memory: 52541, decode.loss_ce: 0.0405, decode.acc_seg: 98.2248, loss: 0.0405 +2023-03-04 10:20:53,471 - mmseg - INFO - Iter [156550/160000] lr: 1.172e-06, eta: 0:12:05, time: 0.169, data_time: 0.007, memory: 52541, decode.loss_ce: 0.0406, decode.acc_seg: 98.2120, loss: 0.0406 +2023-03-04 10:21:01,987 - mmseg - INFO - Iter [156600/160000] lr: 1.172e-06, eta: 0:11:55, time: 0.170, data_time: 0.007, memory: 52541, decode.loss_ce: 0.0430, decode.acc_seg: 98.1456, loss: 0.0430 +2023-03-04 10:21:10,441 - mmseg - INFO - Iter [156650/160000] lr: 1.172e-06, eta: 0:11:44, time: 0.169, data_time: 0.007, memory: 52541, decode.loss_ce: 0.0425, decode.acc_seg: 98.1461, loss: 0.0425 +2023-03-04 10:21:19,082 - mmseg - INFO - Iter [156700/160000] lr: 1.172e-06, eta: 0:11:34, time: 0.173, data_time: 0.007, memory: 52541, decode.loss_ce: 0.0426, decode.acc_seg: 98.1650, loss: 0.0426 +2023-03-04 10:21:27,495 - mmseg - INFO - Iter [156750/160000] lr: 1.172e-06, eta: 0:11:23, time: 0.168, data_time: 0.007, memory: 52541, decode.loss_ce: 0.0395, decode.acc_seg: 98.2744, loss: 0.0395 +2023-03-04 10:21:35,666 - mmseg - INFO - Iter [156800/160000] lr: 1.172e-06, eta: 0:11:12, time: 0.164, data_time: 0.007, memory: 52541, decode.loss_ce: 0.0428, decode.acc_seg: 98.1421, loss: 0.0428 +2023-03-04 10:21:43,755 - mmseg - INFO - Iter [156850/160000] lr: 1.172e-06, eta: 0:11:02, time: 0.162, data_time: 0.007, memory: 52541, decode.loss_ce: 0.0417, decode.acc_seg: 98.1446, loss: 0.0417 +2023-03-04 10:21:52,062 - mmseg - INFO - Iter [156900/160000] lr: 1.172e-06, eta: 0:10:51, time: 0.166, data_time: 0.007, memory: 52541, decode.loss_ce: 0.0466, decode.acc_seg: 98.0154, loss: 0.0466 +2023-03-04 10:22:00,519 - mmseg - INFO - Iter [156950/160000] lr: 1.172e-06, eta: 0:10:41, time: 0.169, data_time: 0.007, memory: 52541, decode.loss_ce: 0.0407, decode.acc_seg: 98.2063, loss: 0.0407 +2023-03-04 10:22:09,474 - mmseg - INFO - Exp name: ablation_segformer_mit_b2_segformer_head_unet_fc_small_multi_step_ade_pretrained_freeze_embed_160k_ade20k151_finetune_ema_wgt.py +2023-03-04 10:22:09,474 - mmseg - INFO - Iter [157000/160000] lr: 1.172e-06, eta: 0:10:30, time: 0.179, data_time: 0.008, memory: 52541, decode.loss_ce: 0.0442, decode.acc_seg: 98.0629, loss: 0.0442 +2023-03-04 10:22:17,734 - mmseg - INFO - Iter [157050/160000] lr: 1.172e-06, eta: 0:10:20, time: 0.165, data_time: 0.007, memory: 52541, decode.loss_ce: 0.0420, decode.acc_seg: 98.1769, loss: 0.0420 +2023-03-04 10:22:26,598 - mmseg - INFO - Iter [157100/160000] lr: 1.172e-06, eta: 0:10:09, time: 0.178, data_time: 0.007, memory: 52541, decode.loss_ce: 0.0405, decode.acc_seg: 98.2150, loss: 0.0405 +2023-03-04 10:22:37,484 - mmseg - INFO - Iter [157150/160000] lr: 1.172e-06, eta: 0:09:59, time: 0.217, data_time: 0.054, memory: 52541, decode.loss_ce: 0.0408, decode.acc_seg: 98.2082, loss: 0.0408 +2023-03-04 10:22:46,112 - mmseg - INFO - Iter [157200/160000] lr: 1.172e-06, eta: 0:09:48, time: 0.173, data_time: 0.007, memory: 52541, decode.loss_ce: 0.0441, decode.acc_seg: 98.0771, loss: 0.0441 +2023-03-04 10:22:54,557 - mmseg - INFO - Iter [157250/160000] lr: 1.172e-06, eta: 0:09:38, time: 0.169, data_time: 0.008, memory: 52541, decode.loss_ce: 0.0419, decode.acc_seg: 98.1622, loss: 0.0419 +2023-03-04 10:23:03,114 - mmseg - INFO - Iter [157300/160000] lr: 1.172e-06, eta: 0:09:27, time: 0.171, data_time: 0.007, memory: 52541, decode.loss_ce: 0.0420, decode.acc_seg: 98.1559, loss: 0.0420 +2023-03-04 10:23:11,295 - mmseg - INFO - Iter [157350/160000] lr: 1.172e-06, eta: 0:09:16, time: 0.164, data_time: 0.008, memory: 52541, decode.loss_ce: 0.0406, decode.acc_seg: 98.2300, loss: 0.0406 +2023-03-04 10:23:19,574 - mmseg - INFO - Iter [157400/160000] lr: 1.172e-06, eta: 0:09:06, time: 0.165, data_time: 0.007, memory: 52541, decode.loss_ce: 0.0404, decode.acc_seg: 98.2213, loss: 0.0404 +2023-03-04 10:23:27,927 - mmseg - INFO - Iter [157450/160000] lr: 1.172e-06, eta: 0:08:55, time: 0.167, data_time: 0.007, memory: 52541, decode.loss_ce: 0.0439, decode.acc_seg: 98.0993, loss: 0.0439 +2023-03-04 10:23:36,462 - mmseg - INFO - Iter [157500/160000] lr: 1.172e-06, eta: 0:08:45, time: 0.170, data_time: 0.007, memory: 52541, decode.loss_ce: 0.0412, decode.acc_seg: 98.1769, loss: 0.0412 +2023-03-04 10:23:44,511 - mmseg - INFO - Iter [157550/160000] lr: 1.172e-06, eta: 0:08:34, time: 0.161, data_time: 0.008, memory: 52541, decode.loss_ce: 0.0407, decode.acc_seg: 98.2087, loss: 0.0407 +2023-03-04 10:23:52,684 - mmseg - INFO - Iter [157600/160000] lr: 1.172e-06, eta: 0:08:24, time: 0.163, data_time: 0.007, memory: 52541, decode.loss_ce: 0.0420, decode.acc_seg: 98.1778, loss: 0.0420 +2023-03-04 10:24:01,286 - mmseg - INFO - Iter [157650/160000] lr: 1.172e-06, eta: 0:08:13, time: 0.172, data_time: 0.008, memory: 52541, decode.loss_ce: 0.0452, decode.acc_seg: 98.0555, loss: 0.0452 +2023-03-04 10:24:09,903 - mmseg - INFO - Iter [157700/160000] lr: 1.172e-06, eta: 0:08:03, time: 0.172, data_time: 0.008, memory: 52541, decode.loss_ce: 0.0414, decode.acc_seg: 98.1847, loss: 0.0414 +2023-03-04 10:24:17,970 - mmseg - INFO - Iter [157750/160000] lr: 1.172e-06, eta: 0:07:52, time: 0.161, data_time: 0.007, memory: 52541, decode.loss_ce: 0.0450, decode.acc_seg: 98.0730, loss: 0.0450 +2023-03-04 10:24:28,773 - mmseg - INFO - Iter [157800/160000] lr: 1.172e-06, eta: 0:07:42, time: 0.216, data_time: 0.054, memory: 52541, decode.loss_ce: 0.0415, decode.acc_seg: 98.1891, loss: 0.0415 +2023-03-04 10:24:37,328 - mmseg - INFO - Iter [157850/160000] lr: 1.172e-06, eta: 0:07:31, time: 0.171, data_time: 0.007, memory: 52541, decode.loss_ce: 0.0401, decode.acc_seg: 98.2443, loss: 0.0401 +2023-03-04 10:24:45,425 - mmseg - INFO - Iter [157900/160000] lr: 1.172e-06, eta: 0:07:21, time: 0.162, data_time: 0.007, memory: 52541, decode.loss_ce: 0.0424, decode.acc_seg: 98.1298, loss: 0.0424 +2023-03-04 10:24:53,919 - mmseg - INFO - Iter [157950/160000] lr: 1.172e-06, eta: 0:07:10, time: 0.170, data_time: 0.007, memory: 52541, decode.loss_ce: 0.0425, decode.acc_seg: 98.1384, loss: 0.0425 +2023-03-04 10:25:02,365 - mmseg - INFO - Exp name: ablation_segformer_mit_b2_segformer_head_unet_fc_small_multi_step_ade_pretrained_freeze_embed_160k_ade20k151_finetune_ema_wgt.py +2023-03-04 10:25:02,365 - mmseg - INFO - Iter [158000/160000] lr: 1.172e-06, eta: 0:06:59, time: 0.169, data_time: 0.008, memory: 52541, decode.loss_ce: 0.0419, decode.acc_seg: 98.1750, loss: 0.0419 +2023-03-04 10:25:10,629 - mmseg - INFO - Iter [158050/160000] lr: 1.172e-06, eta: 0:06:49, time: 0.166, data_time: 0.008, memory: 52541, decode.loss_ce: 0.0436, decode.acc_seg: 98.1099, loss: 0.0436 +2023-03-04 10:25:18,693 - mmseg - INFO - Iter [158100/160000] lr: 1.172e-06, eta: 0:06:38, time: 0.161, data_time: 0.008, memory: 52541, decode.loss_ce: 0.0440, decode.acc_seg: 98.1019, loss: 0.0440 +2023-03-04 10:25:26,962 - mmseg - INFO - Iter [158150/160000] lr: 1.172e-06, eta: 0:06:28, time: 0.165, data_time: 0.007, memory: 52541, decode.loss_ce: 0.0429, decode.acc_seg: 98.1419, loss: 0.0429 +2023-03-04 10:25:35,183 - mmseg - INFO - Iter [158200/160000] lr: 1.172e-06, eta: 0:06:17, time: 0.164, data_time: 0.008, memory: 52541, decode.loss_ce: 0.0419, decode.acc_seg: 98.1811, loss: 0.0419 +2023-03-04 10:25:43,445 - mmseg - INFO - Iter [158250/160000] lr: 1.172e-06, eta: 0:06:07, time: 0.165, data_time: 0.007, memory: 52541, decode.loss_ce: 0.0436, decode.acc_seg: 98.0901, loss: 0.0436 +2023-03-04 10:25:51,667 - mmseg - INFO - Iter [158300/160000] lr: 1.172e-06, eta: 0:05:56, time: 0.164, data_time: 0.007, memory: 52541, decode.loss_ce: 0.0429, decode.acc_seg: 98.1250, loss: 0.0429 +2023-03-04 10:25:59,817 - mmseg - INFO - Iter [158350/160000] lr: 1.172e-06, eta: 0:05:46, time: 0.163, data_time: 0.007, memory: 52541, decode.loss_ce: 0.0410, decode.acc_seg: 98.1882, loss: 0.0410 +2023-03-04 10:26:10,613 - mmseg - INFO - Iter [158400/160000] lr: 1.172e-06, eta: 0:05:35, time: 0.216, data_time: 0.056, memory: 52541, decode.loss_ce: 0.0420, decode.acc_seg: 98.1935, loss: 0.0420 +2023-03-04 10:26:19,074 - mmseg - INFO - Iter [158450/160000] lr: 1.172e-06, eta: 0:05:25, time: 0.169, data_time: 0.007, memory: 52541, decode.loss_ce: 0.0441, decode.acc_seg: 98.0814, loss: 0.0441 +2023-03-04 10:26:27,779 - mmseg - INFO - Iter [158500/160000] lr: 1.172e-06, eta: 0:05:14, time: 0.174, data_time: 0.007, memory: 52541, decode.loss_ce: 0.0412, decode.acc_seg: 98.2101, loss: 0.0412 +2023-03-04 10:26:36,293 - mmseg - INFO - Iter [158550/160000] lr: 1.172e-06, eta: 0:05:04, time: 0.171, data_time: 0.007, memory: 52541, decode.loss_ce: 0.0414, decode.acc_seg: 98.1566, loss: 0.0414 +2023-03-04 10:26:45,058 - mmseg - INFO - Iter [158600/160000] lr: 1.172e-06, eta: 0:04:53, time: 0.175, data_time: 0.007, memory: 52541, decode.loss_ce: 0.0418, decode.acc_seg: 98.1766, loss: 0.0418 +2023-03-04 10:26:53,587 - mmseg - INFO - Iter [158650/160000] lr: 1.172e-06, eta: 0:04:43, time: 0.171, data_time: 0.007, memory: 52541, decode.loss_ce: 0.0422, decode.acc_seg: 98.1625, loss: 0.0422 +2023-03-04 10:27:02,093 - mmseg - INFO - Iter [158700/160000] lr: 1.172e-06, eta: 0:04:32, time: 0.170, data_time: 0.006, memory: 52541, decode.loss_ce: 0.0432, decode.acc_seg: 98.1243, loss: 0.0432 +2023-03-04 10:27:10,519 - mmseg - INFO - Iter [158750/160000] lr: 1.172e-06, eta: 0:04:22, time: 0.169, data_time: 0.007, memory: 52541, decode.loss_ce: 0.0421, decode.acc_seg: 98.1644, loss: 0.0421 +2023-03-04 10:27:19,145 - mmseg - INFO - Iter [158800/160000] lr: 1.172e-06, eta: 0:04:11, time: 0.172, data_time: 0.007, memory: 52541, decode.loss_ce: 0.0423, decode.acc_seg: 98.1541, loss: 0.0423 +2023-03-04 10:27:27,721 - mmseg - INFO - Iter [158850/160000] lr: 1.172e-06, eta: 0:04:01, time: 0.172, data_time: 0.008, memory: 52541, decode.loss_ce: 0.0424, decode.acc_seg: 98.1482, loss: 0.0424 +2023-03-04 10:27:36,146 - mmseg - INFO - Iter [158900/160000] lr: 1.172e-06, eta: 0:03:50, time: 0.169, data_time: 0.007, memory: 52541, decode.loss_ce: 0.0407, decode.acc_seg: 98.1845, loss: 0.0407 +2023-03-04 10:27:44,348 - mmseg - INFO - Iter [158950/160000] lr: 1.172e-06, eta: 0:03:40, time: 0.164, data_time: 0.007, memory: 52541, decode.loss_ce: 0.0398, decode.acc_seg: 98.2451, loss: 0.0398 +2023-03-04 10:27:52,577 - mmseg - INFO - Exp name: ablation_segformer_mit_b2_segformer_head_unet_fc_small_multi_step_ade_pretrained_freeze_embed_160k_ade20k151_finetune_ema_wgt.py +2023-03-04 10:27:52,577 - mmseg - INFO - Iter [159000/160000] lr: 1.172e-06, eta: 0:03:29, time: 0.165, data_time: 0.007, memory: 52541, decode.loss_ce: 0.0445, decode.acc_seg: 98.0680, loss: 0.0445 +2023-03-04 10:28:03,228 - mmseg - INFO - Iter [159050/160000] lr: 1.172e-06, eta: 0:03:19, time: 0.213, data_time: 0.055, memory: 52541, decode.loss_ce: 0.0410, decode.acc_seg: 98.2054, loss: 0.0410 +2023-03-04 10:28:11,727 - mmseg - INFO - Iter [159100/160000] lr: 1.172e-06, eta: 0:03:08, time: 0.170, data_time: 0.007, memory: 52541, decode.loss_ce: 0.0423, decode.acc_seg: 98.1553, loss: 0.0423 +2023-03-04 10:28:20,293 - mmseg - INFO - Iter [159150/160000] lr: 1.172e-06, eta: 0:02:58, time: 0.171, data_time: 0.007, memory: 52541, decode.loss_ce: 0.0406, decode.acc_seg: 98.2420, loss: 0.0406 +2023-03-04 10:28:28,675 - mmseg - INFO - Iter [159200/160000] lr: 1.172e-06, eta: 0:02:47, time: 0.168, data_time: 0.007, memory: 52541, decode.loss_ce: 0.0400, decode.acc_seg: 98.1984, loss: 0.0400 +2023-03-04 10:28:37,095 - mmseg - INFO - Iter [159250/160000] lr: 1.172e-06, eta: 0:02:37, time: 0.168, data_time: 0.007, memory: 52541, decode.loss_ce: 0.0405, decode.acc_seg: 98.2111, loss: 0.0405 +2023-03-04 10:28:45,837 - mmseg - INFO - Iter [159300/160000] lr: 1.172e-06, eta: 0:02:26, time: 0.175, data_time: 0.007, memory: 52541, decode.loss_ce: 0.0412, decode.acc_seg: 98.1830, loss: 0.0412 +2023-03-04 10:28:54,376 - mmseg - INFO - Iter [159350/160000] lr: 1.172e-06, eta: 0:02:16, time: 0.170, data_time: 0.007, memory: 52541, decode.loss_ce: 0.0428, decode.acc_seg: 98.1228, loss: 0.0428 +2023-03-04 10:29:02,555 - mmseg - INFO - Iter [159400/160000] lr: 1.172e-06, eta: 0:02:05, time: 0.164, data_time: 0.008, memory: 52541, decode.loss_ce: 0.0415, decode.acc_seg: 98.1678, loss: 0.0415 +2023-03-04 10:29:10,727 - mmseg - INFO - Iter [159450/160000] lr: 1.172e-06, eta: 0:01:55, time: 0.163, data_time: 0.007, memory: 52541, decode.loss_ce: 0.0419, decode.acc_seg: 98.1668, loss: 0.0419 +2023-03-04 10:29:19,228 - mmseg - INFO - Iter [159500/160000] lr: 1.172e-06, eta: 0:01:44, time: 0.170, data_time: 0.007, memory: 52541, decode.loss_ce: 0.0436, decode.acc_seg: 98.1006, loss: 0.0436 +2023-03-04 10:29:27,426 - mmseg - INFO - Iter [159550/160000] lr: 1.172e-06, eta: 0:01:34, time: 0.164, data_time: 0.008, memory: 52541, decode.loss_ce: 0.0461, decode.acc_seg: 98.0044, loss: 0.0461 +2023-03-04 10:29:35,924 - mmseg - INFO - Iter [159600/160000] lr: 1.172e-06, eta: 0:01:23, time: 0.170, data_time: 0.008, memory: 52541, decode.loss_ce: 0.0427, decode.acc_seg: 98.1274, loss: 0.0427 +2023-03-04 10:29:47,451 - mmseg - INFO - Iter [159650/160000] lr: 1.172e-06, eta: 0:01:13, time: 0.231, data_time: 0.055, memory: 52541, decode.loss_ce: 0.0420, decode.acc_seg: 98.1466, loss: 0.0420 +2023-03-04 10:29:55,602 - mmseg - INFO - Iter [159700/160000] lr: 1.172e-06, eta: 0:01:02, time: 0.163, data_time: 0.007, memory: 52541, decode.loss_ce: 0.0415, decode.acc_seg: 98.1607, loss: 0.0415 +2023-03-04 10:30:04,358 - mmseg - INFO - Iter [159750/160000] lr: 1.172e-06, eta: 0:00:52, time: 0.175, data_time: 0.008, memory: 52541, decode.loss_ce: 0.0384, decode.acc_seg: 98.2970, loss: 0.0384 +2023-03-04 10:30:12,677 - mmseg - INFO - Iter [159800/160000] lr: 1.172e-06, eta: 0:00:41, time: 0.166, data_time: 0.007, memory: 52541, decode.loss_ce: 0.0443, decode.acc_seg: 98.0973, loss: 0.0443 +2023-03-04 10:30:21,216 - mmseg - INFO - Iter [159850/160000] lr: 1.172e-06, eta: 0:00:31, time: 0.171, data_time: 0.007, memory: 52541, decode.loss_ce: 0.0411, decode.acc_seg: 98.1893, loss: 0.0411 +2023-03-04 10:30:29,348 - mmseg - INFO - Iter [159900/160000] lr: 1.172e-06, eta: 0:00:20, time: 0.163, data_time: 0.008, memory: 52541, decode.loss_ce: 0.0451, decode.acc_seg: 98.0629, loss: 0.0451 +2023-03-04 10:30:37,624 - mmseg - INFO - Iter [159950/160000] lr: 1.172e-06, eta: 0:00:10, time: 0.166, data_time: 0.008, memory: 52541, decode.loss_ce: 0.0435, decode.acc_seg: 98.1403, loss: 0.0435 +2023-03-04 10:30:45,914 - mmseg - INFO - Swap parameters (after train) after iter [160000] +2023-03-04 10:30:45,928 - mmseg - INFO - Saving checkpoint at 160000 iterations +2023-03-04 10:30:46,935 - mmseg - INFO - Exp name: ablation_segformer_mit_b2_segformer_head_unet_fc_small_multi_step_ade_pretrained_freeze_embed_160k_ade20k151_finetune_ema_wgt.py +2023-03-04 10:30:46,935 - mmseg - INFO - Iter [160000/160000] lr: 1.172e-06, eta: 0:00:00, time: 0.186, data_time: 0.007, memory: 52541, decode.loss_ce: 0.0420, decode.acc_seg: 98.1730, loss: 0.0420 +2023-03-04 10:41:41,495 - mmseg - INFO - per class results: +2023-03-04 10:41:41,504 - mmseg - INFO - ++---------------------+-------------------------------------------------------------------+ +| Class | IoU 0,10,20,30,40,50,60,70,80,90,99 | ++---------------------+-------------------------------------------------------------------+ +| background | nan,nan,nan,nan,nan,nan,nan,nan,nan,nan,nan | +| wall | 76.85,75.46,73.44,69.92,65.5,61.04,57.04,53.7,51.05,49.07,47.84 | +| building | 81.31,80.71,80.07,78.48,75.81,72.34,68.77,65.63,63.13,61.28,60.17 | +| sky | 94.45,94.1,93.4,91.77,88.73,84.74,80.61,76.94,74.01,71.78,70.26 | +| floor | 81.16,80.0,78.35,75.31,70.93,66.17,61.79,58.19,55.4,53.36,52.15 | +| tree | 73.9,72.36,70.24,66.38,60.55,54.31,48.77,44.44,41.21,38.84,37.25 | +| ceiling | 84.64,83.73,80.32,74.04,65.97,57.86,50.55,44.11,38.77,34.47,31.43 | +| road | 81.49,80.63,79.1,76.31,73.27,70.2,67.4,65.05,63.13,61.53,60.43 | +| bed | 87.37,87.49,86.52,84.26,80.5,75.51,70.59,66.27,62.63,59.9,58.11 | +| windowpane | 59.94,59.68,58.16,55.49,52.21,48.33,44.52,41.17,38.33,36.15,34.92 | +| grass | 66.38,66.23,65.02,62.66,59.84,57.2,54.97,53.0,51.4,50.22,49.51 | +| cabinet | 59.82,60.52,59.42,57.41,54.66,51.52,48.28,45.44,42.89,40.71,39.26 | +| sidewalk | 62.93,61.19,57.41,51.36,46.12,42.28,39.57,37.63,36.31,35.4,34.9 | +| person | 78.8,78.06,76.5,73.56,68.55,62.05,55.15,48.98,44.07,40.41,38.25 | +| earth | 35.2,35.65,35.46,35.06,34.22,33.27,32.39,31.66,31.07,30.57,30.28 | +| door | 44.31,43.42,41.6,38.82,35.75,32.78,30.14,27.72,25.78,24.39,23.32 | +| table | 59.03,58.88,57.7,54.56,49.59,43.23,37.38,32.56,28.87,26.29,24.91 | +| mountain | 55.1,54.61,53.7,52.19,49.77,47.3,44.96,42.91,41.33,40.21,39.45 | +| plant | 50.13,48.85,47.73,45.5,42.04,38.28,34.71,31.73,29.52,27.98,27.06 | +| curtain | 73.38,72.89,70.6,66.59,61.14,55.18,49.68,45.01,41.19,38.22,36.29 | +| chair | 54.59,54.76,53.93,52.21,48.61,43.43,37.93,32.85,28.79,25.89,24.28 | +| car | 81.73,81.78,80.65,78.34,74.07,67.99,61.19,54.88,49.75,45.91,43.72 | +| water | 56.28,57.22,56.51,55.46,53.97,52.56,51.1,49.93,49.05,48.44,48.08 | +| painting | 70.24,69.15,67.81,66.19,64.14,61.82,59.39,57.31,55.5,54.04,53.14 | +| sofa | 62.19,62.31,62.1,61.49,59.64,56.47,52.64,48.67,45.19,42.62,41.01 | +| shelf | 44.34,43.37,41.83,39.67,37.09,34.23,31.95,29.93,28.05,26.74,25.89 | +| house | 38.29,36.5,36.89,36.58,36.07,34.89,33.4,32.03,30.8,29.97,29.47 | +| sea | 58.7,59.77,59.63,58.85,57.51,55.7,54.12,52.63,51.41,50.56,50.08 | +| mirror | 62.58,61.39,60.51,58.31,55.57,52.14,48.56,45.24,42.24,39.51,37.66 | +| rug | 63.01,62.68,61.62,58.83,53.81,48.4,43.78,39.92,36.95,34.98,33.6 | +| field | 30.6,30.39,30.19,29.78,29.17,28.74,28.32,27.98,27.71,27.51,27.43 | +| armchair | 36.97,36.16,36.14,35.39,34.11,32.16,30.07,27.66,25.21,23.2,21.93 | +| seat | 66.19,65.84,65.2,63.13,60.37,57.32,54.7,52.14,50.04,48.69,47.79 | +| fence | 38.28,35.7,34.67,32.31,29.37,26.92,25.07,23.34,22.11,21.08,20.4 | +| desk | 46.23,47.18,46.64,44.75,41.81,38.19,34.83,31.87,29.5,27.87,26.78 | +| rock | 36.99,34.85,33.71,32.24,30.17,28.29,26.44,25.17,24.23,23.43,22.91 | +| wardrobe | 56.25,56.8,55.11,52.41,49.8,47.17,44.5,42.26,40.24,38.76,37.99 | +| lamp | 59.83,60.03,59.94,57.85,55.21,50.99,45.28,39.48,34.33,30.29,27.68 | +| bathtub | 71.81,71.6,69.93,67.17,62.95,57.65,52.34,47.52,43.76,40.61,38.42 | +| railing | 34.16,33.07,31.73,29.65,27.11,24.19,21.87,20.25,18.98,18.05,17.67 | +| cushion | 55.15,52.54,51.6,50.97,49.08,46.88,42.68,37.23,30.99,26.08,23.09 | +| base | 21.3,22.19,21.96,20.84,19.45,17.73,16.25,15.31,14.52,13.85,13.47 | +| box | 22.84,22.27,21.68,20.62,19.51,18.16,16.82,15.75,14.51,13.66,13.24 | +| column | 45.03,45.93,44.73,42.11,38.27,34.33,30.09,26.16,23.38,21.45,20.48 | +| signboard | 37.27,36.74,35.58,34.24,31.51,28.04,24.78,22.09,19.47,17.58,16.49 | +| chest of drawers | 36.36,35.68,35.34,34.45,33.32,31.91,30.08,28.43,26.99,25.74,24.8 | +| counter | 30.26,30.98,31.42,30.52,29.22,27.47,25.45,23.73,22.43,21.41,20.67 | +| sand | 39.29,39.82,40.13,39.87,39.78,39.32,38.75,38.12,37.6,37.32,37.19 | +| sink | 67.06,67.44,66.4,63.96,60.09,54.47,47.42,40.57,35.03,30.51,27.57 | +| skyscraper | 47.7,47.28,46.3,45.45,44.17,42.87,41.4,39.95,38.5,37.23,36.5 | +| fireplace | 75.5,75.22,74.61,73.29,71.06,68.05,64.45,60.56,56.82,53.4,50.86 | +| refrigerator | 70.19,71.27,70.11,67.82,64.19,60.43,55.64,51.38,47.9,45.3,43.81 | +| grandstand | 51.01,56.03,56.14,54.75,53.68,50.73,47.83,44.69,41.67,39.0,37.32 | +| path | 20.31,24.4,24.35,23.17,20.8,18.58,16.98,15.92,15.11,14.68,14.45 | +| stairs | 34.69,32.4,30.62,28.85,27.24,25.51,23.57,21.79,20.27,19.06,18.33 | +| runway | 65.55,64.43,63.9,62.64,61.44,60.47,59.6,59.01,58.41,57.85,57.52 | +| case | 49.13,49.2,48.24,45.99,43.26,40.93,39.38,38.32,37.63,36.78,36.1 | +| pool table | 91.71,91.94,90.41,88.36,84.25,78.63,73.24,68.11,63.55,60.43,58.63 | +| pillow | 58.62,59.83,57.6,55.53,49.93,42.85,35.21,27.56,21.85,18.33,16.5 | +| screen door | 68.77,65.67,62.89,58.37,53.31,48.93,44.26,39.72,35.38,31.67,29.2 | +| stairway | 24.75,22.75,22.17,21.21,19.45,17.72,16.27,15.37,14.89,14.26,13.88 | +| river | 11.57,11.65,11.61,11.51,11.22,10.93,10.69,10.63,10.63,10.62,10.66 | +| bridge | 31.44,29.17,28.32,27.19,24.27,21.96,20.24,18.88,17.8,17.22,16.88 | +| bookcase | 43.79,42.19,42.13,40.03,36.99,33.97,30.88,27.89,25.19,23.56,22.61 | +| blind | 37.92,39.22,39.51,39.29,38.69,37.77,36.44,34.65,32.86,31.33,30.41 | +| coffee table | 53.97,53.61,53.95,52.68,49.89,45.97,41.09,36.0,31.46,28.1,25.99 | +| toilet | 82.44,83.27,82.53,81.49,78.72,75.21,70.31,65.15,60.29,55.9,52.97 | +| flower | 39.11,38.5,37.43,34.96,31.85,27.62,23.25,19.36,16.62,14.59,13.48 | +| book | 43.65,43.4,43.56,41.75,39.42,36.62,33.84,31.45,29.68,28.18,27.2 | +| hill | 14.33,14.06,13.84,13.91,13.21,12.06,11.21,10.71,10.2,9.87,9.7 | +| bench | 40.45,40.08,39.39,38.05,35.92,34.37,32.9,31.27,29.64,28.39,27.74 | +| countertop | 51.46,51.79,52.2,51.14,47.18,41.1,35.87,30.9,26.98,24.48,22.71 | +| stove | 69.84,68.08,68.27,65.72,62.48,58.62,53.53,47.91,43.02,39.48,37.17 | +| palm | 48.76,47.21,46.29,42.78,39.57,36.28,32.71,29.7,27.91,25.81,24.63 | +| kitchen island | 39.66,37.93,37.74,36.9,36.1,34.65,32.57,30.14,27.64,25.93,25.04 | +| computer | 57.67,58.71,57.92,56.14,53.69,50.95,48.33,45.39,42.69,40.47,38.61 | +| swivel chair | 44.21,43.39,42.9,42.05,40.65,38.48,35.73,32.8,29.81,26.85,25.13 | +| boat | 70.66,71.91,71.74,67.12,62.78,58.65,54.56,50.57,47.91,45.87,44.55 | +| bar | 21.46,21.92,21.73,20.69,18.67,17.42,16.05,14.8,13.5,12.62,11.94 | +| arcade machine | 70.25,61.83,59.54,56.25,51.69,46.28,41.36,37.19,32.96,29.05,25.67 | +| hovel | 22.54,13.91,13.92,13.92,13.62,13.21,12.77,12.19,11.73,11.36,11.16 | +| bus | 75.71,76.57,76.54,75.08,72.49,68.76,65.71,62.89,60.16,58.45,57.43 | +| towel | 59.48,61.25,60.55,57.92,53.14,47.49,41.51,36.25,31.55,27.48,24.42 | +| light | 49.26,53.29,53.88,52.5,49.61,44.88,40.25,35.43,31.21,27.5,24.89 | +| truck | 15.89,15.31,15.63,15.12,13.98,13.23,11.68,9.61,7.74,6.18,4.98 | +| tower | 9.21,8.9,9.29,8.52,7.41,6.0,4.85,3.8,3.11,2.55,2.33 | +| chandelier | 63.23,64.06,63.75,61.42,57.07,51.74,45.0,38.38,31.68,26.36,23.49 | +| awning | 22.16,24.13,24.49,21.91,19.46,14.99,10.97,8.56,6.65,5.77,5.41 | +| streetlight | 23.46,24.08,24.89,24.04,21.8,19.9,17.21,14.88,12.39,9.81,8.53 | +| booth | 38.71,39.05,39.11,37.48,35.76,33.8,32.36,31.2,29.76,28.66,27.99 | +| television receiver | 63.71,63.44,62.77,60.7,58.51,55.54,52.56,49.29,46.07,43.93,41.46 | +| airplane | 58.75,57.65,55.48,53.12,47.97,41.89,37.07,32.75,29.65,28.32,27.22 | +| dirt track | 17.32,17.86,17.91,18.07,18.09,17.49,16.74,16.41,16.06,15.9,15.89 | +| apparel | 32.6,30.23,29.95,28.2,25.99,22.85,19.41,16.98,15.54,14.47,14.03 | +| pole | 17.45,17.25,16.35,15.43,13.48,11.33,8.53,6.87,5.94,5.14,4.85 | +| land | 2.94,3.71,3.79,4.22,4.9,5.35,5.8,6.03,6.21,6.41,6.6 | +| bannister | 10.54,11.25,12.21,11.8,10.49,8.79,7.8,7.08,6.02,5.3,4.55 | +| escalator | 22.12,18.39,18.28,17.56,17.07,16.29,15.53,14.57,13.68,12.97,12.47 | +| ottoman | 44.24,41.04,40.44,38.62,36.95,35.2,33.1,30.53,28.35,26.55,25.39 | +| bottle | 33.06,32.56,33.11,32.15,30.29,27.69,25.45,23.51,21.85,20.6,19.85 | +| buffet | 36.92,38.29,36.98,34.98,32.66,30.65,28.48,26.45,25.17,24.83,24.43 | +| poster | 22.38,23.67,24.06,24.02,23.74,23.98,24.47,23.92,23.1,22.38,21.74 | +| stage | 14.1,13.9,13.82,13.7,13.1,12.42,11.58,11.05,10.09,9.26,8.74 | +| van | 40.62,39.01,38.4,36.74,35.58,33.21,30.32,28.14,26.77,25.88,25.5 | +| ship | 79.29,83.49,84.62,84.43,84.03,82.77,81.55,80.28,79.0,78.44,78.19 | +| fountain | 14.39,18.67,16.75,14.27,12.59,10.79,9.24,8.47,8.02,7.72,7.41 | +| conveyer belt | 82.3,85.27,83.75,80.94,76.19,72.77,68.31,65.7,63.78,61.96,60.69 | +| canopy | 21.95,24.76,24.34,23.12,20.27,17.67,15.29,13.5,12.13,10.79,9.71 | +| washer | 77.6,73.11,71.05,67.89,64.35,60.92,59.38,57.19,55.5,54.13,53.22 | +| plaything | 19.0,19.0,18.85,17.75,17.38,14.82,12.42,10.42,9.18,8.12,7.45 | +| swimming pool | 71.45,72.69,76.03,75.74,73.89,70.73,67.85,63.87,59.94,54.6,50.35 | +| stool | 41.15,41.33,41.6,38.2,34.19,28.49,23.55,18.52,14.23,12.21,11.7 | +| barrel | 39.01,26.96,27.8,26.73,27.12,27.2,27.24,26.85,26.6,27.03,27.19 | +| basket | 23.06,23.53,23.83,23.35,22.51,21.36,20.17,18.18,15.91,13.84,12.5 | +| waterfall | 50.91,45.51,43.73,43.89,42.84,40.68,38.9,37.06,35.63,34.46,34.13 | +| tent | 93.75,95.31,94.21,89.68,84.96,79.94,74.82,69.59,64.62,60.07,56.31 | +| bag | 14.35,11.91,12.74,12.11,10.86,10.25,9.41,8.31,7.36,6.44,5.76 | +| minibike | 61.91,59.25,59.87,58.73,56.27,50.03,43.23,36.85,31.38,27.79,25.15 | +| cradle | 82.2,84.63,81.35,76.15,69.89,63.16,58.36,53.72,49.62,46.94,44.9 | +| oven | 44.2,45.69,46.4,47.11,47.39,46.37,45.29,43.62,42.2,39.99,38.19 | +| ball | 43.05,40.69,39.32,36.71,32.79,29.56,26.89,25.2,23.81,22.86,22.4 | +| food | 50.1,54.37,54.06,51.19,47.99,44.31,40.52,37.33,34.68,32.87,31.72 | +| step | 4.68,6.83,5.72,4.31,2.73,0.93,0.03,0.0,0.0,0.0,0.0 | +| tank | 53.75,52.19,51.56,49.39,45.93,42.92,40.95,38.74,37.02,35.52,34.49 | +| trade name | 26.16,29.77,28.92,26.77,23.06,19.09,14.43,10.12,6.63,4.99,4.26 | +| microwave | 73.2,72.17,70.14,68.25,65.78,63.49,61.03,57.82,55.26,52.71,51.12 | +| pot | 31.1,30.37,27.53,26.89,24.32,21.39,18.51,15.3,12.51,10.46,9.36 | +| animal | 55.33,51.5,48.62,47.05,44.66,41.57,38.55,35.16,32.1,29.77,28.09 | +| bicycle | 49.26,50.05,48.33,46.06,41.15,35.27,30.21,25.13,21.79,20.11,19.43 | +| lake | 56.04,56.64,56.77,56.45,56.41,56.32,56.07,55.8,55.58,55.44,55.37 | +| dishwasher | 67.36,66.01,68.6,65.91,63.45,59.73,55.88,52.38,49.04,45.48,43.63 | +| screen | 68.36,73.22,75.22,72.96,71.42,69.98,68.85,67.89,66.93,66.44,66.08 | +| blanket | 13.78,17.32,16.63,14.96,12.88,10.61,8.76,7.5,6.83,6.43,6.19 | +| sculpture | 56.95,57.47,54.7,50.36,45.2,41.52,38.61,37.29,36.0,34.52,33.87 | +| hood | 59.17,60.54,57.76,55.24,51.8,48.52,45.91,42.27,38.7,34.46,31.75 | +| sconce | 40.53,41.51,42.37,40.94,38.34,34.79,29.96,25.75,21.51,17.92,15.75 | +| vase | 35.49,35.87,33.31,32.51,30.16,27.33,24.31,21.6,18.58,15.91,14.14 | +| traffic light | 27.72,30.92,29.41,27.75,23.63,21.09,18.11,15.56,14.27,12.21,11.27 | +| tray | 4.05,4.61,5.41,6.19,5.83,5.36,4.9,4.29,3.66,2.9,2.46 | +| ashcan | 40.76,41.09,41.71,39.44,36.68,33.32,29.08,24.91,20.88,17.55,15.72 | +| fan | 53.97,56.78,56.77,56.97,53.82,48.07,42.18,34.78,29.04,24.44,21.39 | +| pier | 46.14,49.8,50.65,48.07,45.26,42.26,39.24,37.23,35.81,35.07,34.71 | +| crt screen | 9.77,9.66,10.22,10.49,10.96,10.73,10.5,9.97,9.79,9.25,8.76 | +| plate | 46.12,49.39,48.42,45.07,41.57,36.8,31.31,25.72,20.97,17.12,14.92 | +| monitor | 17.83,12.46,11.1,9.82,8.84,7.32,6.48,5.97,5.56,5.08,4.62 | +| bulletin board | 39.39,33.21,31.63,29.93,27.2,23.55,20.32,17.23,14.73,13.03,12.03 | +| shower | 1.07,0.28,0.0,0.13,0.0,0.0,0.0,0.0,0.0,0.03,0.12 | +| radiator | 54.6,55.26,56.76,52.16,43.77,34.92,26.86,20.74,17.37,15.41,14.26 | +| glass | 10.9,12.26,12.58,12.64,12.09,10.6,8.78,7.46,5.79,4.93,4.55 | +| clock | 29.9,34.17,26.22,24.45,22.12,17.38,13.66,10.03,7.88,6.25,5.64 | +| flag | 32.12,29.09,28.35,27.31,25.91,23.81,20.89,18.26,16.48,14.82,13.64 | ++---------------------+-------------------------------------------------------------------+ +2023-03-04 10:41:41,504 - mmseg - INFO - Summary: +2023-03-04 10:41:41,505 - mmseg - INFO - ++-------------------------------------------------------------------+ +| mIoU 0,10,20,30,40,50,60,70,80,90,99 | ++-------------------------------------------------------------------+ +| 47.15,46.95,46.25,44.51,41.97,38.95,35.95,33.16,30.82,28.98,27.82 | ++-------------------------------------------------------------------+ +2023-03-04 10:41:41,505 - mmseg - INFO - Exp name: ablation_segformer_mit_b2_segformer_head_unet_fc_small_multi_step_ade_pretrained_freeze_embed_160k_ade20k151_finetune_ema_wgt.py +2023-03-04 10:41:41,505 - mmseg - INFO - Iter(val) [250] mIoU: [0.4715, 0.4695, 0.4625, 0.4451, 0.4197, 0.3895, 0.3595, 0.3316, 0.3082, 0.2898, 0.2782], copy_paste: 47.15,46.95,46.25,44.51,41.97,38.95,35.95,33.16,30.82,28.98,27.82 diff --git a/ablation/ablation_segformer_mit_b2_segformer_head_unet_fc_small_multi_step_ade_pretrained_freeze_embed_160k_ade20k151_finetune_ema_wgt/20230304_011125.log.json b/ablation/ablation_segformer_mit_b2_segformer_head_unet_fc_small_multi_step_ade_pretrained_freeze_embed_160k_ade20k151_finetune_ema_wgt/20230304_011125.log.json new file mode 100644 index 0000000000000000000000000000000000000000..2ed00514394eb3a41a7a2f0581b72a6ccf98e3ec --- /dev/null +++ b/ablation/ablation_segformer_mit_b2_segformer_head_unet_fc_small_multi_step_ade_pretrained_freeze_embed_160k_ade20k151_finetune_ema_wgt/20230304_011125.log.json @@ -0,0 +1,3211 @@ +{"env_info": "sys.platform: linux\nPython: 3.7.16 (default, Jan 17 2023, 22:20:44) [GCC 11.2.0]\nCUDA available: True\nGPU 0,1,2,3,4,5,6,7: NVIDIA A100-SXM4-80GB\nCUDA_HOME: /mnt/petrelfs/laizeqiang/miniconda3/envs/torch\nNVCC: Cuda compilation tools, release 11.6, V11.6.124\nGCC: gcc (GCC) 4.8.5 20150623 (Red Hat 4.8.5-44)\nPyTorch: 1.13.1\nPyTorch compiling details: PyTorch built with:\n - GCC 9.3\n - C++ Version: 201402\n - Intel(R) oneAPI Math Kernel Library Version 2021.4-Product Build 20210904 for Intel(R) 64 architecture applications\n - Intel(R) MKL-DNN v2.6.0 (Git Hash 52b5f107dd9cf10910aaa19cb47f3abf9b349815)\n - OpenMP 201511 (a.k.a. OpenMP 4.5)\n - LAPACK is enabled (usually provided by MKL)\n - NNPACK is enabled\n - CPU capability usage: AVX2\n - CUDA Runtime 11.6\n - NVCC architecture flags: -gencode;arch=compute_37,code=sm_37;-gencode;arch=compute_50,code=sm_50;-gencode;arch=compute_60,code=sm_60;-gencode;arch=compute_61,code=sm_61;-gencode;arch=compute_70,code=sm_70;-gencode;arch=compute_75,code=sm_75;-gencode;arch=compute_80,code=sm_80;-gencode;arch=compute_86,code=sm_86;-gencode;arch=compute_37,code=compute_37\n - CuDNN 8.3.2 (built against CUDA 11.5)\n - Magma 2.6.1\n - Build settings: BLAS_INFO=mkl, BUILD_TYPE=Release, CUDA_VERSION=11.6, CUDNN_VERSION=8.3.2, CXX_COMPILER=/opt/rh/devtoolset-9/root/usr/bin/c++, CXX_FLAGS= -fabi-version=11 -Wno-deprecated -fvisibility-inlines-hidden -DUSE_PTHREADPOOL -fopenmp -DNDEBUG -DUSE_KINETO -DUSE_FBGEMM -DUSE_QNNPACK -DUSE_PYTORCH_QNNPACK -DUSE_XNNPACK -DSYMBOLICATE_MOBILE_DEBUG_HANDLE -DEDGE_PROFILER_USE_KINETO -O2 -fPIC -Wno-narrowing -Wall -Wextra -Werror=return-type -Werror=non-virtual-dtor -Wno-missing-field-initializers -Wno-type-limits -Wno-array-bounds -Wno-unknown-pragmas -Wunused-local-typedefs -Wno-unused-parameter -Wno-unused-function -Wno-unused-result -Wno-strict-overflow -Wno-strict-aliasing -Wno-error=deprecated-declarations -Wno-stringop-overflow -Wno-psabi -Wno-error=pedantic -Wno-error=redundant-decls -Wno-error=old-style-cast -fdiagnostics-color=always -faligned-new -Wno-unused-but-set-variable -Wno-maybe-uninitialized -fno-math-errno -fno-trapping-math -Werror=format -Werror=cast-function-type -Wno-stringop-overflow, LAPACK_INFO=mkl, PERF_WITH_AVX=1, PERF_WITH_AVX2=1, PERF_WITH_AVX512=1, TORCH_VERSION=1.13.1, USE_CUDA=ON, USE_CUDNN=ON, USE_EXCEPTION_PTR=1, USE_GFLAGS=OFF, USE_GLOG=OFF, USE_MKL=ON, USE_MKLDNN=ON, USE_MPI=OFF, USE_NCCL=ON, USE_NNPACK=ON, USE_OPENMP=ON, USE_ROCM=OFF, \n\nTorchVision: 0.14.1\nOpenCV: 4.7.0\nMMCV: 1.7.1\nMMCV Compiler: GCC 9.3\nMMCV CUDA Compiler: 11.6\nMMSegmentation: 0.30.0+ab851eb", "seed": 1767956878, "exp_name": "ablation_segformer_mit_b2_segformer_head_unet_fc_small_multi_step_ade_pretrained_freeze_embed_160k_ade20k151_finetune_ema_wgt.py", "mmseg_version": "0.30.0+ab851eb", "config": "norm_cfg = dict(type='SyncBN', requires_grad=True)\ncheckpoint = 'work_dirs2/segformer_mit_b2_segformer_head_unet_fc_single_step_ade_pretrained_freeze_embed_80k_ade20k151/best_mIoU_iter_64000.pth'\nmodel = dict(\n type='EncoderDecoderDiffusion',\n freeze_parameters=['backbone', 'decode_head'],\n pretrained=\n 'work_dirs2/segformer_mit_b2_segformer_head_unet_fc_single_step_ade_pretrained_freeze_embed_80k_ade20k151/best_mIoU_iter_64000.pth',\n backbone=dict(\n type='MixVisionTransformerCustomInitWeights',\n in_channels=3,\n embed_dims=64,\n num_stages=4,\n num_layers=[3, 4, 6, 3],\n num_heads=[1, 2, 5, 8],\n patch_sizes=[7, 3, 3, 3],\n sr_ratios=[8, 4, 2, 1],\n out_indices=(0, 1, 2, 3),\n mlp_ratio=4,\n qkv_bias=True,\n drop_rate=0.0,\n attn_drop_rate=0.0,\n drop_path_rate=0.1,\n pretrained=\n 'work_dirs2/segformer_mit_b2_segformer_head_unet_fc_single_step_ade_pretrained_freeze_embed_80k_ade20k151/best_mIoU_iter_64000.pth'\n ),\n decode_head=dict(\n type='SegformerHeadUnetFCHeadMultiStepWithGT',\n pretrained=\n 'work_dirs2/segformer_mit_b2_segformer_head_unet_fc_single_step_ade_pretrained_freeze_embed_80k_ade20k151/best_mIoU_iter_64000.pth',\n dim=128,\n out_dim=256,\n unet_channels=272,\n dim_mults=[1, 1, 1],\n cat_embedding_dim=16,\n diffusion_timesteps=100,\n collect_timesteps=[0, 10, 20, 30, 40, 50, 60, 70, 80, 90, 99],\n in_channels=[64, 128, 320, 512],\n in_index=[0, 1, 2, 3],\n channels=256,\n dropout_ratio=0.1,\n num_classes=151,\n norm_cfg=dict(type='SyncBN', requires_grad=True),\n align_corners=False,\n ignore_index=0,\n loss_decode=dict(\n type='CrossEntropyLoss', use_sigmoid=False, loss_weight=1.0)),\n train_cfg=dict(),\n test_cfg=dict(mode='whole'))\ndataset_type = 'ADE20K151Dataset'\ndata_root = 'data/ade/ADEChallengeData2016'\nimg_norm_cfg = dict(\n mean=[123.675, 116.28, 103.53], std=[58.395, 57.12, 57.375], to_rgb=True)\ncrop_size = (512, 512)\ntrain_pipeline = [\n dict(type='LoadImageFromFile'),\n dict(type='LoadAnnotations', reduce_zero_label=False),\n dict(type='Resize', img_scale=(2048, 512), ratio_range=(0.5, 2.0)),\n dict(type='RandomCrop', crop_size=(512, 512), cat_max_ratio=0.75),\n dict(type='RandomFlip', prob=0.5),\n dict(type='PhotoMetricDistortion'),\n dict(\n type='Normalize',\n mean=[123.675, 116.28, 103.53],\n std=[58.395, 57.12, 57.375],\n to_rgb=True),\n dict(type='Pad', size=(512, 512), pad_val=0, seg_pad_val=0),\n dict(type='DefaultFormatBundle'),\n dict(type='Collect', keys=['img', 'gt_semantic_seg'])\n]\ntest_pipeline = [\n dict(type='LoadImageFromFile'),\n dict(\n type='MultiScaleFlipAug',\n img_scale=(2048, 512),\n flip=False,\n transforms=[\n dict(type='Resize', keep_ratio=True),\n dict(type='RandomFlip'),\n dict(\n type='Normalize',\n mean=[123.675, 116.28, 103.53],\n std=[58.395, 57.12, 57.375],\n to_rgb=True),\n dict(type='Pad', size_divisor=16, pad_val=0, seg_pad_val=0),\n dict(type='ImageToTensor', keys=['img']),\n dict(type='Collect', keys=['img'])\n ])\n]\ndata = dict(\n samples_per_gpu=4,\n workers_per_gpu=4,\n train=dict(\n type='ADE20K151Dataset',\n data_root='data/ade/ADEChallengeData2016',\n img_dir='images/training',\n ann_dir='annotations/training',\n pipeline=[\n dict(type='LoadImageFromFile'),\n dict(type='LoadAnnotations', reduce_zero_label=False),\n dict(type='Resize', img_scale=(2048, 512), ratio_range=(0.5, 2.0)),\n dict(type='RandomCrop', crop_size=(512, 512), cat_max_ratio=0.75),\n dict(type='RandomFlip', prob=0.5),\n dict(type='PhotoMetricDistortion'),\n dict(\n type='Normalize',\n mean=[123.675, 116.28, 103.53],\n std=[58.395, 57.12, 57.375],\n to_rgb=True),\n dict(type='Pad', size=(512, 512), pad_val=0, seg_pad_val=0),\n dict(type='DefaultFormatBundle'),\n dict(type='Collect', keys=['img', 'gt_semantic_seg'])\n ]),\n val=dict(\n type='ADE20K151Dataset',\n data_root='data/ade/ADEChallengeData2016',\n img_dir='images/validation',\n ann_dir='annotations/validation',\n pipeline=[\n dict(type='LoadImageFromFile'),\n dict(\n type='MultiScaleFlipAug',\n img_scale=(2048, 512),\n flip=False,\n transforms=[\n dict(type='Resize', keep_ratio=True),\n dict(type='RandomFlip'),\n dict(\n type='Normalize',\n mean=[123.675, 116.28, 103.53],\n std=[58.395, 57.12, 57.375],\n to_rgb=True),\n dict(\n type='Pad', size_divisor=16, pad_val=0, seg_pad_val=0),\n dict(type='ImageToTensor', keys=['img']),\n dict(type='Collect', keys=['img'])\n ])\n ]),\n test=dict(\n type='ADE20K151Dataset',\n data_root='data/ade/ADEChallengeData2016',\n img_dir='images/validation',\n ann_dir='annotations/validation',\n pipeline=[\n dict(type='LoadImageFromFile'),\n dict(\n type='MultiScaleFlipAug',\n img_scale=(2048, 512),\n flip=False,\n transforms=[\n dict(type='Resize', keep_ratio=True),\n dict(type='RandomFlip'),\n dict(\n type='Normalize',\n mean=[123.675, 116.28, 103.53],\n std=[58.395, 57.12, 57.375],\n to_rgb=True),\n dict(\n type='Pad', size_divisor=16, pad_val=0, seg_pad_val=0),\n dict(type='ImageToTensor', keys=['img']),\n dict(type='Collect', keys=['img'])\n ])\n ]))\nlog_config = dict(\n interval=50, hooks=[dict(type='TextLoggerHook', by_epoch=False)])\ndist_params = dict(backend='nccl')\nlog_level = 'INFO'\nload_from = None\nresume_from = None\nworkflow = [('train', 1)]\ncudnn_benchmark = True\noptimizer = dict(\n type='AdamW', lr=0.00015, betas=[0.9, 0.96], weight_decay=0.045)\noptimizer_config = dict()\nlr_config = dict(\n policy='step',\n warmup='linear',\n warmup_iters=1000,\n warmup_ratio=1e-06,\n step=20000,\n gamma=0.5,\n min_lr=1e-06,\n by_epoch=False)\nrunner = dict(type='IterBasedRunner', max_iters=160000)\ncheckpoint_config = dict(by_epoch=False, interval=16000, max_keep_ckpts=1)\nevaluation = dict(\n interval=16000, metric='mIoU', pre_eval=True, save_best='mIoU')\ncustom_hooks = [\n dict(\n type='ConstantMomentumEMAHook',\n momentum=0.01,\n interval=25,\n eval_interval=16000,\n auto_resume=True,\n priority=49)\n]\nwork_dir = './work_dirs2/ablation_segformer_mit_b2_segformer_head_unet_fc_small_multi_step_ade_pretrained_freeze_embed_160k_ade20k151_finetune_ema_wgt'\ngpu_ids = range(0, 8)\nauto_resume = True\ndevice = 'cuda'\nseed = 1767956878\n", "CLASSES": ["background", "wall", "building", "sky", "floor", "tree", "ceiling", "road", "bed ", "windowpane", "grass", "cabinet", "sidewalk", "person", "earth", "door", "table", "mountain", "plant", "curtain", "chair", "car", "water", "painting", "sofa", "shelf", "house", "sea", "mirror", "rug", "field", "armchair", "seat", "fence", "desk", "rock", "wardrobe", "lamp", "bathtub", "railing", "cushion", "base", "box", "column", "signboard", "chest of drawers", "counter", "sand", "sink", "skyscraper", "fireplace", "refrigerator", "grandstand", "path", "stairs", "runway", "case", "pool table", "pillow", "screen door", "stairway", "river", "bridge", "bookcase", "blind", "coffee table", "toilet", "flower", "book", "hill", "bench", "countertop", "stove", "palm", "kitchen island", "computer", "swivel chair", "boat", "bar", "arcade machine", "hovel", "bus", "towel", "light", "truck", "tower", "chandelier", "awning", "streetlight", "booth", "television receiver", "airplane", "dirt track", "apparel", "pole", "land", "bannister", "escalator", "ottoman", "bottle", "buffet", "poster", "stage", "van", "ship", "fountain", "conveyer belt", "canopy", "washer", "plaything", "swimming pool", "stool", "barrel", "basket", "waterfall", "tent", "bag", "minibike", "cradle", "oven", "ball", "food", "step", "tank", "trade name", "microwave", "pot", "animal", "bicycle", "lake", "dishwasher", "screen", "blanket", "sculpture", "hood", "sconce", "vase", "traffic light", "tray", "ashcan", "fan", "pier", "crt screen", "plate", "monitor", "bulletin board", "shower", "radiator", "glass", "clock", "flag"], "PALETTE": [[0, 0, 0], [120, 120, 120], [180, 120, 120], [6, 230, 230], [80, 50, 50], [4, 200, 3], [120, 120, 80], [140, 140, 140], [204, 5, 255], [230, 230, 230], [4, 250, 7], [224, 5, 255], [235, 255, 7], [150, 5, 61], [120, 120, 70], [8, 255, 51], [255, 6, 82], [143, 255, 140], [204, 255, 4], [255, 51, 7], [204, 70, 3], [0, 102, 200], [61, 230, 250], [255, 6, 51], [11, 102, 255], [255, 7, 71], [255, 9, 224], [9, 7, 230], [220, 220, 220], [255, 9, 92], [112, 9, 255], [8, 255, 214], [7, 255, 224], [255, 184, 6], [10, 255, 71], [255, 41, 10], [7, 255, 255], [224, 255, 8], [102, 8, 255], [255, 61, 6], [255, 194, 7], [255, 122, 8], [0, 255, 20], [255, 8, 41], [255, 5, 153], [6, 51, 255], [235, 12, 255], [160, 150, 20], [0, 163, 255], [140, 140, 140], [250, 10, 15], [20, 255, 0], [31, 255, 0], [255, 31, 0], [255, 224, 0], [153, 255, 0], [0, 0, 255], [255, 71, 0], [0, 235, 255], [0, 173, 255], [31, 0, 255], [11, 200, 200], [255, 82, 0], [0, 255, 245], [0, 61, 255], [0, 255, 112], [0, 255, 133], [255, 0, 0], [255, 163, 0], [255, 102, 0], [194, 255, 0], [0, 143, 255], [51, 255, 0], [0, 82, 255], [0, 255, 41], [0, 255, 173], [10, 0, 255], [173, 255, 0], [0, 255, 153], [255, 92, 0], [255, 0, 255], [255, 0, 245], [255, 0, 102], [255, 173, 0], [255, 0, 20], [255, 184, 184], [0, 31, 255], [0, 255, 61], [0, 71, 255], [255, 0, 204], [0, 255, 194], [0, 255, 82], [0, 10, 255], [0, 112, 255], [51, 0, 255], [0, 194, 255], [0, 122, 255], [0, 255, 163], [255, 153, 0], [0, 255, 10], [255, 112, 0], [143, 255, 0], [82, 0, 255], [163, 255, 0], [255, 235, 0], [8, 184, 170], [133, 0, 255], [0, 255, 92], [184, 0, 255], [255, 0, 31], [0, 184, 255], [0, 214, 255], [255, 0, 112], [92, 255, 0], [0, 224, 255], [112, 224, 255], [70, 184, 160], [163, 0, 255], [153, 0, 255], [71, 255, 0], [255, 0, 163], [255, 204, 0], [255, 0, 143], [0, 255, 235], [133, 255, 0], [255, 0, 235], [245, 0, 255], [255, 0, 122], [255, 245, 0], [10, 190, 212], [214, 255, 0], [0, 204, 255], [20, 0, 255], [255, 255, 0], [0, 153, 255], [0, 41, 255], [0, 255, 204], [41, 0, 255], [41, 255, 0], [173, 0, 255], [0, 245, 255], [71, 0, 255], [122, 0, 255], [0, 255, 184], [0, 92, 255], [184, 255, 0], [0, 133, 255], [255, 214, 0], [25, 194, 194], [102, 255, 0], [92, 0, 255]], "hook_msgs": {}} +{"mode": "train", "epoch": 1, "iter": 50, "lr": 1e-05, "memory": 19921, "data_time": 0.01827, "decode.loss_ce": 0.20156, "decode.acc_seg": 91.65929, "loss": 0.20156, "time": 0.28467} +{"mode": "train", "epoch": 1, "iter": 100, "lr": 1e-05, "memory": 19921, "data_time": 0.00752, "decode.loss_ce": 0.20309, "decode.acc_seg": 91.74962, "loss": 0.20309, "time": 0.16792} +{"mode": "train", "epoch": 1, "iter": 150, "lr": 2e-05, "memory": 19921, "data_time": 0.00707, "decode.loss_ce": 0.194, "decode.acc_seg": 92.0921, "loss": 0.194, "time": 0.16748} +{"mode": "train", "epoch": 1, "iter": 200, "lr": 3e-05, "memory": 19921, "data_time": 0.00709, "decode.loss_ce": 0.19239, "decode.acc_seg": 92.24498, "loss": 0.19239, "time": 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"epoch": 254, "iter": 159850, "lr": 0.0, "memory": 52541, "data_time": 0.0071, "decode.loss_ce": 0.04114, "decode.acc_seg": 98.18928, "loss": 0.04114, "time": 0.17058} +{"mode": "train", "epoch": 254, "iter": 159900, "lr": 0.0, "memory": 52541, "data_time": 0.00753, "decode.loss_ce": 0.04507, "decode.acc_seg": 98.06295, "loss": 0.04507, "time": 0.16288} +{"mode": "train", "epoch": 254, "iter": 159950, "lr": 0.0, "memory": 52541, "data_time": 0.00753, "decode.loss_ce": 0.04351, "decode.acc_seg": 98.14029, "loss": 0.04351, "time": 0.16551} +{"mode": "train", "epoch": 254, "iter": 160000, "lr": 0.0, "memory": 52541, "data_time": 0.00719, "decode.loss_ce": 0.04202, "decode.acc_seg": 98.17295, "loss": 0.04202, "time": 0.18621} +{"mode": "val", "epoch": 254, "iter": 250, "lr": 0.0, "mIoU": [0.4715, 0.4695, 0.4625, 0.4451, 0.4197, 0.3895, 0.3595, 0.3316, 0.3082, 0.2898, 0.2782], "copy_paste": "47.15,46.95,46.25,44.51,41.97,38.95,35.95,33.16,30.82,28.98,27.82"} diff --git a/ablation/ablation_segformer_mit_b2_segformer_head_unet_fc_small_multi_step_ade_pretrained_freeze_embed_160k_ade20k151_finetune_ema_wgt/ablation_segformer_mit_b2_segformer_head_unet_fc_small_multi_step_ade_pretrained_freeze_embed_160k_ade20k151_finetune_ema_wgt.py b/ablation/ablation_segformer_mit_b2_segformer_head_unet_fc_small_multi_step_ade_pretrained_freeze_embed_160k_ade20k151_finetune_ema_wgt/ablation_segformer_mit_b2_segformer_head_unet_fc_small_multi_step_ade_pretrained_freeze_embed_160k_ade20k151_finetune_ema_wgt.py new file mode 100644 index 0000000000000000000000000000000000000000..83296089e7c0a88b7c77cc97f3acd7e9f7b242c1 --- /dev/null +++ b/ablation/ablation_segformer_mit_b2_segformer_head_unet_fc_small_multi_step_ade_pretrained_freeze_embed_160k_ade20k151_finetune_ema_wgt/ablation_segformer_mit_b2_segformer_head_unet_fc_small_multi_step_ade_pretrained_freeze_embed_160k_ade20k151_finetune_ema_wgt.py @@ -0,0 +1,195 @@ +norm_cfg = dict(type='SyncBN', requires_grad=True) +checkpoint = 'work_dirs2/segformer_mit_b2_segformer_head_unet_fc_single_step_ade_pretrained_freeze_embed_80k_ade20k151/best_mIoU_iter_64000.pth' +model = dict( + type='EncoderDecoderDiffusion', + freeze_parameters=['backbone', 'decode_head'], + pretrained= + 'work_dirs2/segformer_mit_b2_segformer_head_unet_fc_single_step_ade_pretrained_freeze_embed_80k_ade20k151/best_mIoU_iter_64000.pth', + backbone=dict( + type='MixVisionTransformerCustomInitWeights', + in_channels=3, + embed_dims=64, + num_stages=4, + num_layers=[3, 4, 6, 3], + num_heads=[1, 2, 5, 8], + patch_sizes=[7, 3, 3, 3], + sr_ratios=[8, 4, 2, 1], + out_indices=(0, 1, 2, 3), + mlp_ratio=4, + qkv_bias=True, + drop_rate=0.0, + attn_drop_rate=0.0, + drop_path_rate=0.1), + decode_head=dict( + type='SegformerHeadUnetFCHeadMultiStepWithGT', + pretrained= + 'work_dirs2/segformer_mit_b2_segformer_head_unet_fc_single_step_ade_pretrained_freeze_embed_80k_ade20k151/best_mIoU_iter_64000.pth', + dim=128, + out_dim=256, + unet_channels=272, + dim_mults=[1, 1, 1], + cat_embedding_dim=16, + diffusion_timesteps=100, + collect_timesteps=[0, 10, 20, 30, 40, 50, 60, 70, 80, 90, 99], + in_channels=[64, 128, 320, 512], + in_index=[0, 1, 2, 3], + channels=256, + dropout_ratio=0.1, + num_classes=151, + norm_cfg=dict(type='SyncBN', requires_grad=True), + align_corners=False, + ignore_index=0, + loss_decode=dict( + type='CrossEntropyLoss', use_sigmoid=False, loss_weight=1.0)), + train_cfg=dict(), + test_cfg=dict(mode='whole')) +dataset_type = 'ADE20K151Dataset' +data_root = 'data/ade/ADEChallengeData2016' +img_norm_cfg = dict( + mean=[123.675, 116.28, 103.53], std=[58.395, 57.12, 57.375], to_rgb=True) +crop_size = (512, 512) +train_pipeline = [ + dict(type='LoadImageFromFile'), + dict(type='LoadAnnotations', reduce_zero_label=False), + dict(type='Resize', img_scale=(2048, 512), ratio_range=(0.5, 2.0)), + dict(type='RandomCrop', crop_size=(512, 512), cat_max_ratio=0.75), + dict(type='RandomFlip', prob=0.5), + dict(type='PhotoMetricDistortion'), + dict( + type='Normalize', + mean=[123.675, 116.28, 103.53], + std=[58.395, 57.12, 57.375], + to_rgb=True), + dict(type='Pad', size=(512, 512), pad_val=0, seg_pad_val=0), + dict(type='DefaultFormatBundle'), + dict(type='Collect', keys=['img', 'gt_semantic_seg']) +] +test_pipeline = [ + dict(type='LoadImageFromFile'), + dict( + type='MultiScaleFlipAug', + img_scale=(2048, 512), + flip=False, + transforms=[ + dict(type='Resize', keep_ratio=True), + dict(type='RandomFlip'), + dict( + type='Normalize', + mean=[123.675, 116.28, 103.53], + std=[58.395, 57.12, 57.375], + to_rgb=True), + dict(type='Pad', size_divisor=16, pad_val=0, seg_pad_val=0), + dict(type='ImageToTensor', keys=['img']), + dict(type='Collect', keys=['img']) + ]) +] +data = dict( + samples_per_gpu=4, + workers_per_gpu=4, + train=dict( + type='ADE20K151Dataset', + data_root='data/ade/ADEChallengeData2016', + img_dir='images/training', + ann_dir='annotations/training', + pipeline=[ + dict(type='LoadImageFromFile'), + dict(type='LoadAnnotations', reduce_zero_label=False), + dict(type='Resize', img_scale=(2048, 512), ratio_range=(0.5, 2.0)), + dict(type='RandomCrop', crop_size=(512, 512), cat_max_ratio=0.75), + dict(type='RandomFlip', prob=0.5), + dict(type='PhotoMetricDistortion'), + dict( + type='Normalize', + mean=[123.675, 116.28, 103.53], + std=[58.395, 57.12, 57.375], + to_rgb=True), + dict(type='Pad', size=(512, 512), pad_val=0, seg_pad_val=0), + dict(type='DefaultFormatBundle'), + dict(type='Collect', keys=['img', 'gt_semantic_seg']) + ]), + val=dict( + type='ADE20K151Dataset', + data_root='data/ade/ADEChallengeData2016', + img_dir='images/validation', + ann_dir='annotations/validation', + pipeline=[ + dict(type='LoadImageFromFile'), + dict( + type='MultiScaleFlipAug', + img_scale=(2048, 512), + flip=False, + transforms=[ + dict(type='Resize', keep_ratio=True), + dict(type='RandomFlip'), + dict( + type='Normalize', + mean=[123.675, 116.28, 103.53], + std=[58.395, 57.12, 57.375], + to_rgb=True), + dict( + type='Pad', size_divisor=16, pad_val=0, seg_pad_val=0), + dict(type='ImageToTensor', keys=['img']), + dict(type='Collect', keys=['img']) + ]) + ]), + test=dict( + type='ADE20K151Dataset', + data_root='data/ade/ADEChallengeData2016', + img_dir='images/validation', + ann_dir='annotations/validation', + pipeline=[ + dict(type='LoadImageFromFile'), + dict( + type='MultiScaleFlipAug', + img_scale=(2048, 512), + flip=False, + transforms=[ + dict(type='Resize', keep_ratio=True), + dict(type='RandomFlip'), + dict( + type='Normalize', + mean=[123.675, 116.28, 103.53], + std=[58.395, 57.12, 57.375], + to_rgb=True), + dict( + type='Pad', size_divisor=16, pad_val=0, seg_pad_val=0), + dict(type='ImageToTensor', keys=['img']), + dict(type='Collect', keys=['img']) + ]) + ])) +log_config = dict( + interval=50, hooks=[dict(type='TextLoggerHook', by_epoch=False)]) +dist_params = dict(backend='nccl') +log_level = 'INFO' +load_from = None +resume_from = None +workflow = [('train', 1)] +cudnn_benchmark = True +optimizer = dict( + type='AdamW', lr=0.00015, betas=[0.9, 0.96], weight_decay=0.045) +optimizer_config = dict() +lr_config = dict( + policy='step', + warmup='linear', + warmup_iters=1000, + warmup_ratio=1e-06, + step=20000, + gamma=0.5, + min_lr=1e-06, + by_epoch=False) +runner = dict(type='IterBasedRunner', max_iters=160000) +checkpoint_config = dict(by_epoch=False, interval=16000, max_keep_ckpts=1) +evaluation = dict( + interval=16000, metric='mIoU', pre_eval=True, save_best='mIoU') +custom_hooks = [ + dict( + type='ConstantMomentumEMAHook', + momentum=0.01, + interval=25, + eval_interval=16000, + auto_resume=True, + priority=49) +] +work_dir = './work_dirs2/ablation_segformer_mit_b2_segformer_head_unet_fc_small_multi_step_ade_pretrained_freeze_embed_160k_ade20k151_finetune_ema_wgt' +gpu_ids = range(0, 8) +auto_resume = True diff --git a/ablation/ablation_segformer_mit_b2_segformer_head_unet_fc_small_multi_step_ade_pretrained_freeze_embed_160k_ade20k151_finetune_ema_wgt/best_mIoU_iter_16000.pth b/ablation/ablation_segformer_mit_b2_segformer_head_unet_fc_small_multi_step_ade_pretrained_freeze_embed_160k_ade20k151_finetune_ema_wgt/best_mIoU_iter_16000.pth new file mode 100644 index 0000000000000000000000000000000000000000..eab3f4ba7008409379eca67dd817693472f2968b --- /dev/null +++ b/ablation/ablation_segformer_mit_b2_segformer_head_unet_fc_small_multi_step_ade_pretrained_freeze_embed_160k_ade20k151_finetune_ema_wgt/best_mIoU_iter_16000.pth @@ -0,0 +1,3 @@ +version https://git-lfs.github.com/spec/v1 +oid sha256:3780f34a340e5c032fae6c4446fbc9dd9dcf72fccf9e6cf50e0a0f42e56a0767 +size 380051503 diff --git a/ablation/ablation_segformer_mit_b2_segformer_head_unet_fc_small_multi_step_ade_pretrained_freeze_embed_160k_ade20k151_finetune_ema_wgt/iter_160000.pth 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20210904 for Intel(R) 64 architecture applications + - Intel(R) MKL-DNN v2.6.0 (Git Hash 52b5f107dd9cf10910aaa19cb47f3abf9b349815) + - OpenMP 201511 (a.k.a. OpenMP 4.5) + - LAPACK is enabled (usually provided by MKL) + - NNPACK is enabled + - CPU capability usage: AVX2 + - CUDA Runtime 11.6 + - NVCC architecture flags: -gencode;arch=compute_37,code=sm_37;-gencode;arch=compute_50,code=sm_50;-gencode;arch=compute_60,code=sm_60;-gencode;arch=compute_61,code=sm_61;-gencode;arch=compute_70,code=sm_70;-gencode;arch=compute_75,code=sm_75;-gencode;arch=compute_80,code=sm_80;-gencode;arch=compute_86,code=sm_86;-gencode;arch=compute_37,code=compute_37 + - CuDNN 8.3.2 (built against CUDA 11.5) + - Magma 2.6.1 + - Build settings: BLAS_INFO=mkl, BUILD_TYPE=Release, CUDA_VERSION=11.6, CUDNN_VERSION=8.3.2, CXX_COMPILER=/opt/rh/devtoolset-9/root/usr/bin/c++, CXX_FLAGS= -fabi-version=11 -Wno-deprecated -fvisibility-inlines-hidden -DUSE_PTHREADPOOL -fopenmp -DNDEBUG -DUSE_KINETO -DUSE_FBGEMM -DUSE_QNNPACK -DUSE_PYTORCH_QNNPACK -DUSE_XNNPACK -DSYMBOLICATE_MOBILE_DEBUG_HANDLE -DEDGE_PROFILER_USE_KINETO -O2 -fPIC -Wno-narrowing -Wall -Wextra -Werror=return-type -Werror=non-virtual-dtor -Wno-missing-field-initializers -Wno-type-limits -Wno-array-bounds -Wno-unknown-pragmas -Wunused-local-typedefs -Wno-unused-parameter -Wno-unused-function -Wno-unused-result -Wno-strict-overflow -Wno-strict-aliasing -Wno-error=deprecated-declarations -Wno-stringop-overflow -Wno-psabi -Wno-error=pedantic -Wno-error=redundant-decls -Wno-error=old-style-cast -fdiagnostics-color=always -faligned-new -Wno-unused-but-set-variable -Wno-maybe-uninitialized -fno-math-errno -fno-trapping-math -Werror=format -Werror=cast-function-type -Wno-stringop-overflow, LAPACK_INFO=mkl, PERF_WITH_AVX=1, PERF_WITH_AVX2=1, PERF_WITH_AVX512=1, TORCH_VERSION=1.13.1, USE_CUDA=ON, USE_CUDNN=ON, USE_EXCEPTION_PTR=1, USE_GFLAGS=OFF, USE_GLOG=OFF, USE_MKL=ON, USE_MKLDNN=ON, USE_MPI=OFF, USE_NCCL=ON, USE_NNPACK=ON, USE_OPENMP=ON, USE_ROCM=OFF, + +TorchVision: 0.14.1 +OpenCV: 4.7.0 +MMCV: 1.7.1 +MMCV Compiler: GCC 9.3 +MMCV CUDA Compiler: 11.6 +MMSegmentation: 0.30.0+ab851eb +------------------------------------------------------------ + +2023-03-04 01:11:25,506 - mmseg - INFO - Distributed training: True +2023-03-04 01:11:26,184 - mmseg - INFO - Config: +norm_cfg = dict(type='SyncBN', requires_grad=True) +checkpoint = 'work_dirs2/segformer_mit_b2_segformer_head_unet_fc_single_step_ade_pretrained_freeze_embed_80k_ade20k151/best_mIoU_iter_64000.pth' +model = dict( + type='EncoderDecoderDiffusion', + freeze_parameters=['backbone', 'decode_head'], + pretrained= + 'work_dirs2/segformer_mit_b2_segformer_head_unet_fc_single_step_ade_pretrained_freeze_embed_80k_ade20k151/best_mIoU_iter_64000.pth', + backbone=dict( + type='MixVisionTransformerCustomInitWeights', + in_channels=3, + embed_dims=64, + num_stages=4, + num_layers=[3, 4, 6, 3], + num_heads=[1, 2, 5, 8], + patch_sizes=[7, 3, 3, 3], + sr_ratios=[8, 4, 2, 1], + out_indices=(0, 1, 2, 3), + mlp_ratio=4, + qkv_bias=True, + drop_rate=0.0, + attn_drop_rate=0.0, + drop_path_rate=0.1), + decode_head=dict( + type='SegformerHeadUnetFCHeadMultiStepWithInit', + pretrained= + 'work_dirs2/segformer_mit_b2_segformer_head_unet_fc_single_step_ade_pretrained_freeze_embed_80k_ade20k151/best_mIoU_iter_64000.pth', + dim=128, + out_dim=256, + unet_channels=272, + dim_mults=[1, 1, 1], + cat_embedding_dim=16, + diffusion_timesteps=100, + collect_timesteps=[0, 10, 20, 30, 40, 50, 60, 70, 80, 90, 99], + in_channels=[64, 128, 320, 512], + in_index=[0, 1, 2, 3], + channels=256, + dropout_ratio=0.1, + num_classes=151, + norm_cfg=dict(type='SyncBN', requires_grad=True), + align_corners=False, + ignore_index=0, + loss_decode=dict( + type='CrossEntropyLoss', use_sigmoid=False, loss_weight=1.0)), + train_cfg=dict(), + test_cfg=dict(mode='whole')) +dataset_type = 'ADE20K151Dataset' +data_root = 'data/ade/ADEChallengeData2016' +img_norm_cfg = dict( + mean=[123.675, 116.28, 103.53], std=[58.395, 57.12, 57.375], to_rgb=True) +crop_size = (512, 512) +train_pipeline = [ + dict(type='LoadImageFromFile'), + dict(type='LoadAnnotations', reduce_zero_label=False), + dict(type='Resize', img_scale=(2048, 512), ratio_range=(0.5, 2.0)), + dict(type='RandomCrop', crop_size=(512, 512), cat_max_ratio=0.75), + dict(type='RandomFlip', prob=0.5), + dict(type='PhotoMetricDistortion'), + dict( + type='Normalize', + mean=[123.675, 116.28, 103.53], + std=[58.395, 57.12, 57.375], + to_rgb=True), + dict(type='Pad', size=(512, 512), pad_val=0, seg_pad_val=0), + dict(type='DefaultFormatBundle'), + dict(type='Collect', keys=['img', 'gt_semantic_seg']) +] +test_pipeline = [ + dict(type='LoadImageFromFile'), + dict( + type='MultiScaleFlipAug', + img_scale=(2048, 512), + flip=False, + transforms=[ + dict(type='Resize', keep_ratio=True), + dict(type='RandomFlip'), + dict( + type='Normalize', + mean=[123.675, 116.28, 103.53], + std=[58.395, 57.12, 57.375], + to_rgb=True), + dict(type='Pad', size_divisor=16, pad_val=0, seg_pad_val=0), + dict(type='ImageToTensor', keys=['img']), + dict(type='Collect', keys=['img']) + ]) +] +data = dict( + samples_per_gpu=4, + workers_per_gpu=4, + train=dict( + type='ADE20K151Dataset', + data_root='data/ade/ADEChallengeData2016', + img_dir='images/training', + ann_dir='annotations/training', + pipeline=[ + dict(type='LoadImageFromFile'), + dict(type='LoadAnnotations', reduce_zero_label=False), + dict(type='Resize', img_scale=(2048, 512), ratio_range=(0.5, 2.0)), + dict(type='RandomCrop', crop_size=(512, 512), cat_max_ratio=0.75), + dict(type='RandomFlip', prob=0.5), + dict(type='PhotoMetricDistortion'), + dict( + type='Normalize', + mean=[123.675, 116.28, 103.53], + std=[58.395, 57.12, 57.375], + to_rgb=True), + dict(type='Pad', size=(512, 512), pad_val=0, seg_pad_val=0), + dict(type='DefaultFormatBundle'), + dict(type='Collect', keys=['img', 'gt_semantic_seg']) + ]), + val=dict( + type='ADE20K151Dataset', + data_root='data/ade/ADEChallengeData2016', + img_dir='images/validation', + ann_dir='annotations/validation', + pipeline=[ + dict(type='LoadImageFromFile'), + dict( + type='MultiScaleFlipAug', + img_scale=(2048, 512), + flip=False, + transforms=[ + dict(type='Resize', keep_ratio=True), + dict(type='RandomFlip'), + dict( + type='Normalize', + mean=[123.675, 116.28, 103.53], + std=[58.395, 57.12, 57.375], + to_rgb=True), + dict( + type='Pad', size_divisor=16, pad_val=0, seg_pad_val=0), + dict(type='ImageToTensor', keys=['img']), + dict(type='Collect', keys=['img']) + ]) + ]), + test=dict( + type='ADE20K151Dataset', + data_root='data/ade/ADEChallengeData2016', + img_dir='images/validation', + ann_dir='annotations/validation', + pipeline=[ + dict(type='LoadImageFromFile'), + dict( + type='MultiScaleFlipAug', + img_scale=(2048, 512), + flip=False, + transforms=[ + dict(type='Resize', keep_ratio=True), + dict(type='RandomFlip'), + dict( + type='Normalize', + mean=[123.675, 116.28, 103.53], + std=[58.395, 57.12, 57.375], + to_rgb=True), + dict( + type='Pad', size_divisor=16, pad_val=0, seg_pad_val=0), + dict(type='ImageToTensor', keys=['img']), + dict(type='Collect', keys=['img']) + ]) + ])) +log_config = dict( + interval=50, hooks=[dict(type='TextLoggerHook', by_epoch=False)]) +dist_params = dict(backend='nccl') +log_level = 'INFO' +load_from = None +resume_from = None +workflow = [('train', 1)] +cudnn_benchmark = True +optimizer = dict( + type='AdamW', lr=0.00015, betas=[0.9, 0.96], weight_decay=0.045) +optimizer_config = dict() +lr_config = dict( + policy='step', + warmup='linear', + warmup_iters=1000, + warmup_ratio=1e-06, + step=20000, + gamma=0.5, + min_lr=1e-06, + by_epoch=False) +runner = dict(type='IterBasedRunner', max_iters=160000) +checkpoint_config = dict(by_epoch=False, interval=16000, max_keep_ckpts=1) +evaluation = dict( + interval=16000, metric='mIoU', pre_eval=True, save_best='mIoU') +custom_hooks = [ + dict( + type='ConstantMomentumEMAHook', + momentum=0.01, + interval=25, + eval_interval=16000, + auto_resume=True, + priority=49) +] +work_dir = './work_dirs2/ablation_segformer_mit_b2_segformer_head_unet_fc_small_multi_step_ade_pretrained_freeze_embed_160k_ade20k151_finetune_ema_winit' +gpu_ids = range(0, 8) +auto_resume = True + +2023-03-04 01:11:31,685 - mmseg - INFO - Set random seed to 894341245, deterministic: False +2023-03-04 01:11:31,949 - mmseg - INFO - Parameters in backbone freezed! +2023-03-04 01:11:31,950 - mmseg - INFO - Trainable parameters in SegformerHeadUnetFCHead: ['unet.init_conv.weight', 'unet.init_conv.bias', 'unet.time_mlp.1.weight', 'unet.time_mlp.1.bias', 'unet.time_mlp.3.weight', 'unet.time_mlp.3.bias', 'unet.downs.0.0.mlp.1.weight', 'unet.downs.0.0.mlp.1.bias', 'unet.downs.0.0.block1.proj.weight', 'unet.downs.0.0.block1.proj.bias', 'unet.downs.0.0.block1.norm.weight', 'unet.downs.0.0.block1.norm.bias', 'unet.downs.0.0.block2.proj.weight', 'unet.downs.0.0.block2.proj.bias', 'unet.downs.0.0.block2.norm.weight', 'unet.downs.0.0.block2.norm.bias', 'unet.downs.0.1.mlp.1.weight', 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checkpoint from local path: work_dirs2/segformer_mit_b2_segformer_head_unet_fc_single_step_ade_pretrained_freeze_embed_80k_ade20k151/best_mIoU_iter_64000.pth +2023-03-04 01:11:32,747 - mmseg - WARNING - The model and loaded state dict do not match exactly + +unexpected key in source state_dict: decode_head.convs.0.conv.weight, decode_head.convs.0.bn.weight, decode_head.convs.0.bn.bias, decode_head.convs.0.bn.running_mean, decode_head.convs.0.bn.running_var, decode_head.convs.0.bn.num_batches_tracked, decode_head.convs.1.conv.weight, decode_head.convs.1.bn.weight, decode_head.convs.1.bn.bias, decode_head.convs.1.bn.running_mean, decode_head.convs.1.bn.running_var, decode_head.convs.1.bn.num_batches_tracked, decode_head.convs.2.conv.weight, decode_head.convs.2.bn.weight, decode_head.convs.2.bn.bias, decode_head.convs.2.bn.running_mean, decode_head.convs.2.bn.running_var, decode_head.convs.2.bn.num_batches_tracked, decode_head.convs.3.conv.weight, decode_head.convs.3.bn.weight, 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(backbone): MixVisionTransformerCustomInitWeights( + (layers): ModuleList( + (0): ModuleList( + (0): PatchEmbed( + (projection): Conv2d(3, 64, kernel_size=(7, 7), stride=(4, 4), padding=(3, 3)) + (norm): LayerNorm((64,), eps=1e-06, elementwise_affine=True) + ) + (1): ModuleList( + (0): TransformerEncoderLayer( + (norm1): LayerNorm((64,), eps=1e-06, elementwise_affine=True) + (attn): EfficientMultiheadAttention( + (attn): MultiheadAttention( + (out_proj): NonDynamicallyQuantizableLinear(in_features=64, out_features=64, bias=True) + ) + (proj_drop): Dropout(p=0.0, inplace=False) + (dropout_layer): DropPath() + (sr): Conv2d(64, 64, kernel_size=(8, 8), stride=(8, 8)) + (norm): LayerNorm((64,), eps=1e-06, elementwise_affine=True) + ) + (norm2): LayerNorm((64,), eps=1e-06, elementwise_affine=True) + (ffn): MixFFN( + (activate): GELU(approximate='none') + (layers): Sequential( + (0): Conv2d(64, 256, kernel_size=(1, 1), stride=(1, 1)) + (1): Conv2d(256, 256, kernel_size=(3, 3), stride=(1, 1), 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GELU(approximate='none') + (layers): Sequential( + (0): Conv2d(128, 512, kernel_size=(1, 1), stride=(1, 1)) + (1): Conv2d(512, 512, kernel_size=(3, 3), stride=(1, 1), padding=(1, 1), groups=512) + (2): GELU(approximate='none') + (3): Dropout(p=0.0, inplace=False) + (4): Conv2d(512, 128, kernel_size=(1, 1), stride=(1, 1)) + (5): Dropout(p=0.0, inplace=False) + ) + (dropout_layer): DropPath() + ) + ) + (1): TransformerEncoderLayer( + (norm1): LayerNorm((128,), eps=1e-06, elementwise_affine=True) + (attn): EfficientMultiheadAttention( + (attn): MultiheadAttention( + (out_proj): NonDynamicallyQuantizableLinear(in_features=128, out_features=128, bias=True) + ) + (proj_drop): Dropout(p=0.0, inplace=False) + (dropout_layer): DropPath() + (sr): Conv2d(128, 128, kernel_size=(4, 4), stride=(4, 4)) + (norm): LayerNorm((128,), eps=1e-06, elementwise_affine=True) + ) + (norm2): LayerNorm((128,), eps=1e-06, elementwise_affine=True) + (ffn): MixFFN( + (activate): GELU(approximate='none') + (layers): Sequential( + (0): Conv2d(128, 512, kernel_size=(1, 1), stride=(1, 1)) + (1): Conv2d(512, 512, kernel_size=(3, 3), stride=(1, 1), padding=(1, 1), groups=512) + (2): GELU(approximate='none') + (3): Dropout(p=0.0, inplace=False) + (4): Conv2d(512, 128, kernel_size=(1, 1), stride=(1, 1)) + (5): Dropout(p=0.0, inplace=False) + ) + (dropout_layer): DropPath() + ) + ) + (2): TransformerEncoderLayer( + (norm1): LayerNorm((128,), eps=1e-06, elementwise_affine=True) + (attn): EfficientMultiheadAttention( + (attn): MultiheadAttention( + (out_proj): NonDynamicallyQuantizableLinear(in_features=128, out_features=128, bias=True) + ) + (proj_drop): Dropout(p=0.0, inplace=False) + (dropout_layer): DropPath() + (sr): Conv2d(128, 128, kernel_size=(4, 4), stride=(4, 4)) + (norm): LayerNorm((128,), eps=1e-06, elementwise_affine=True) + ) + (norm2): LayerNorm((128,), eps=1e-06, elementwise_affine=True) + (ffn): MixFFN( + (activate): GELU(approximate='none') + (layers): Sequential( + (0): Conv2d(128, 512, 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(1): Conv2d(512, 512, kernel_size=(3, 3), stride=(1, 1), padding=(1, 1), groups=512) + (2): GELU(approximate='none') + (3): Dropout(p=0.0, inplace=False) + (4): Conv2d(512, 128, kernel_size=(1, 1), stride=(1, 1)) + (5): Dropout(p=0.0, inplace=False) + ) + (dropout_layer): DropPath() + ) + ) + ) + (2): LayerNorm((128,), eps=1e-06, elementwise_affine=True) + ) + (2): ModuleList( + (0): PatchEmbed( + (projection): Conv2d(128, 320, kernel_size=(3, 3), stride=(2, 2), padding=(1, 1)) + (norm): LayerNorm((320,), eps=1e-06, elementwise_affine=True) + ) + (1): ModuleList( + (0): TransformerEncoderLayer( + (norm1): LayerNorm((320,), eps=1e-06, elementwise_affine=True) + (attn): EfficientMultiheadAttention( + (attn): MultiheadAttention( + (out_proj): NonDynamicallyQuantizableLinear(in_features=320, out_features=320, bias=True) + ) + (proj_drop): Dropout(p=0.0, inplace=False) + (dropout_layer): DropPath() + (sr): Conv2d(320, 320, kernel_size=(2, 2), stride=(2, 2)) + (norm): LayerNorm((320,), eps=1e-06, elementwise_affine=True) + ) + (norm2): LayerNorm((320,), eps=1e-06, elementwise_affine=True) + (ffn): MixFFN( + (activate): GELU(approximate='none') + (layers): Sequential( + (0): Conv2d(320, 1280, kernel_size=(1, 1), stride=(1, 1)) + (1): Conv2d(1280, 1280, kernel_size=(3, 3), stride=(1, 1), padding=(1, 1), groups=1280) + (2): GELU(approximate='none') + (3): Dropout(p=0.0, inplace=False) + (4): Conv2d(1280, 320, kernel_size=(1, 1), stride=(1, 1)) + (5): Dropout(p=0.0, inplace=False) + ) + (dropout_layer): DropPath() + ) + ) + (1): TransformerEncoderLayer( + (norm1): LayerNorm((320,), eps=1e-06, elementwise_affine=True) + (attn): EfficientMultiheadAttention( + (attn): MultiheadAttention( + (out_proj): NonDynamicallyQuantizableLinear(in_features=320, out_features=320, bias=True) + ) + (proj_drop): Dropout(p=0.0, inplace=False) + (dropout_layer): DropPath() + (sr): Conv2d(320, 320, kernel_size=(2, 2), stride=(2, 2)) + (norm): LayerNorm((320,), eps=1e-06, elementwise_affine=True) + ) + (norm2): LayerNorm((320,), eps=1e-06, elementwise_affine=True) + (ffn): MixFFN( + (activate): GELU(approximate='none') + (layers): Sequential( + (0): Conv2d(320, 1280, kernel_size=(1, 1), stride=(1, 1)) + (1): Conv2d(1280, 1280, kernel_size=(3, 3), stride=(1, 1), padding=(1, 1), groups=1280) + (2): GELU(approximate='none') + (3): Dropout(p=0.0, inplace=False) + (4): Conv2d(1280, 320, kernel_size=(1, 1), stride=(1, 1)) + (5): Dropout(p=0.0, inplace=False) + ) + (dropout_layer): DropPath() + ) + ) + (2): TransformerEncoderLayer( + (norm1): LayerNorm((320,), eps=1e-06, elementwise_affine=True) + (attn): EfficientMultiheadAttention( + (attn): MultiheadAttention( + (out_proj): NonDynamicallyQuantizableLinear(in_features=320, out_features=320, bias=True) + ) + (proj_drop): Dropout(p=0.0, inplace=False) + (dropout_layer): DropPath() + (sr): Conv2d(320, 320, kernel_size=(2, 2), stride=(2, 2)) + (norm): LayerNorm((320,), eps=1e-06, elementwise_affine=True) + ) + (norm2): LayerNorm((320,), eps=1e-06, elementwise_affine=True) + (ffn): MixFFN( + (activate): GELU(approximate='none') + (layers): Sequential( + (0): Conv2d(320, 1280, kernel_size=(1, 1), stride=(1, 1)) + (1): Conv2d(1280, 1280, kernel_size=(3, 3), stride=(1, 1), padding=(1, 1), groups=1280) + (2): GELU(approximate='none') + (3): Dropout(p=0.0, inplace=False) + (4): Conv2d(1280, 320, kernel_size=(1, 1), stride=(1, 1)) + (5): Dropout(p=0.0, inplace=False) + ) + (dropout_layer): DropPath() + ) + ) + (3): TransformerEncoderLayer( + (norm1): LayerNorm((320,), eps=1e-06, elementwise_affine=True) + (attn): EfficientMultiheadAttention( + (attn): MultiheadAttention( + (out_proj): NonDynamicallyQuantizableLinear(in_features=320, out_features=320, bias=True) + ) + (proj_drop): Dropout(p=0.0, inplace=False) + (dropout_layer): DropPath() + (sr): Conv2d(320, 320, kernel_size=(2, 2), stride=(2, 2)) + (norm): LayerNorm((320,), eps=1e-06, elementwise_affine=True) + ) + (norm2): LayerNorm((320,), eps=1e-06, elementwise_affine=True) + (ffn): MixFFN( + (activate): GELU(approximate='none') + (layers): Sequential( + (0): Conv2d(320, 1280, kernel_size=(1, 1), stride=(1, 1)) + (1): Conv2d(1280, 1280, kernel_size=(3, 3), stride=(1, 1), padding=(1, 1), groups=1280) + (2): GELU(approximate='none') + (3): Dropout(p=0.0, inplace=False) + (4): Conv2d(1280, 320, kernel_size=(1, 1), stride=(1, 1)) + (5): Dropout(p=0.0, inplace=False) + ) + (dropout_layer): DropPath() + ) + ) + (4): TransformerEncoderLayer( + (norm1): LayerNorm((320,), eps=1e-06, elementwise_affine=True) + (attn): EfficientMultiheadAttention( + (attn): MultiheadAttention( + (out_proj): NonDynamicallyQuantizableLinear(in_features=320, out_features=320, bias=True) + ) + (proj_drop): Dropout(p=0.0, inplace=False) + (dropout_layer): DropPath() + (sr): Conv2d(320, 320, kernel_size=(2, 2), stride=(2, 2)) + (norm): LayerNorm((320,), eps=1e-06, elementwise_affine=True) + ) + (norm2): LayerNorm((320,), eps=1e-06, elementwise_affine=True) + (ffn): MixFFN( + (activate): GELU(approximate='none') + (layers): Sequential( + (0): Conv2d(320, 1280, kernel_size=(1, 1), stride=(1, 1)) + (1): Conv2d(1280, 1280, kernel_size=(3, 3), stride=(1, 1), padding=(1, 1), groups=1280) + (2): GELU(approximate='none') + (3): Dropout(p=0.0, inplace=False) + (4): Conv2d(1280, 320, kernel_size=(1, 1), stride=(1, 1)) + (5): Dropout(p=0.0, inplace=False) + ) + (dropout_layer): DropPath() + ) + ) + (5): TransformerEncoderLayer( + (norm1): LayerNorm((320,), eps=1e-06, elementwise_affine=True) + (attn): EfficientMultiheadAttention( + (attn): MultiheadAttention( + (out_proj): NonDynamicallyQuantizableLinear(in_features=320, out_features=320, bias=True) + ) + (proj_drop): Dropout(p=0.0, inplace=False) + (dropout_layer): DropPath() + (sr): Conv2d(320, 320, kernel_size=(2, 2), stride=(2, 2)) + (norm): LayerNorm((320,), eps=1e-06, elementwise_affine=True) + ) + (norm2): LayerNorm((320,), eps=1e-06, elementwise_affine=True) + (ffn): MixFFN( + (activate): GELU(approximate='none') + (layers): Sequential( + (0): Conv2d(320, 1280, kernel_size=(1, 1), stride=(1, 1)) + (1): Conv2d(1280, 1280, kernel_size=(3, 3), stride=(1, 1), padding=(1, 1), groups=1280) + (2): GELU(approximate='none') + (3): Dropout(p=0.0, inplace=False) + (4): Conv2d(1280, 320, kernel_size=(1, 1), stride=(1, 1)) + (5): Dropout(p=0.0, inplace=False) + ) + (dropout_layer): DropPath() + ) + ) + ) + (2): LayerNorm((320,), eps=1e-06, elementwise_affine=True) + ) + (3): ModuleList( + (0): PatchEmbed( + (projection): Conv2d(320, 512, kernel_size=(3, 3), stride=(2, 2), padding=(1, 1)) + (norm): LayerNorm((512,), eps=1e-06, elementwise_affine=True) + ) + (1): ModuleList( + (0): TransformerEncoderLayer( + (norm1): LayerNorm((512,), eps=1e-06, elementwise_affine=True) + (attn): EfficientMultiheadAttention( + (attn): MultiheadAttention( + (out_proj): NonDynamicallyQuantizableLinear(in_features=512, out_features=512, bias=True) + ) + (proj_drop): Dropout(p=0.0, inplace=False) + (dropout_layer): DropPath() + ) + (norm2): LayerNorm((512,), eps=1e-06, elementwise_affine=True) + (ffn): MixFFN( + (activate): GELU(approximate='none') + (layers): Sequential( + (0): Conv2d(512, 2048, kernel_size=(1, 1), stride=(1, 1)) + (1): Conv2d(2048, 2048, kernel_size=(3, 3), stride=(1, 1), padding=(1, 1), groups=2048) + (2): GELU(approximate='none') + (3): Dropout(p=0.0, inplace=False) + (4): Conv2d(2048, 512, kernel_size=(1, 1), stride=(1, 1)) + (5): Dropout(p=0.0, inplace=False) + ) + (dropout_layer): DropPath() + ) + ) + (1): TransformerEncoderLayer( + (norm1): LayerNorm((512,), eps=1e-06, elementwise_affine=True) + (attn): EfficientMultiheadAttention( + (attn): MultiheadAttention( + (out_proj): NonDynamicallyQuantizableLinear(in_features=512, out_features=512, bias=True) + ) + (proj_drop): Dropout(p=0.0, inplace=False) + (dropout_layer): DropPath() + ) + (norm2): LayerNorm((512,), eps=1e-06, elementwise_affine=True) + (ffn): MixFFN( + (activate): GELU(approximate='none') + (layers): Sequential( + (0): Conv2d(512, 2048, kernel_size=(1, 1), stride=(1, 1)) + (1): Conv2d(2048, 2048, kernel_size=(3, 3), stride=(1, 1), padding=(1, 1), groups=2048) + (2): GELU(approximate='none') + (3): Dropout(p=0.0, inplace=False) + (4): Conv2d(2048, 512, kernel_size=(1, 1), stride=(1, 1)) + (5): Dropout(p=0.0, inplace=False) + ) + (dropout_layer): DropPath() + ) + ) + (2): TransformerEncoderLayer( + (norm1): LayerNorm((512,), eps=1e-06, elementwise_affine=True) + (attn): EfficientMultiheadAttention( + (attn): MultiheadAttention( + (out_proj): NonDynamicallyQuantizableLinear(in_features=512, out_features=512, bias=True) + ) + (proj_drop): Dropout(p=0.0, inplace=False) + (dropout_layer): DropPath() + ) + (norm2): LayerNorm((512,), eps=1e-06, elementwise_affine=True) + (ffn): MixFFN( + (activate): GELU(approximate='none') + (layers): Sequential( + (0): Conv2d(512, 2048, kernel_size=(1, 1), stride=(1, 1)) + (1): Conv2d(2048, 2048, kernel_size=(3, 3), stride=(1, 1), padding=(1, 1), groups=2048) + (2): GELU(approximate='none') + (3): Dropout(p=0.0, inplace=False) + (4): Conv2d(2048, 512, kernel_size=(1, 1), stride=(1, 1)) + (5): Dropout(p=0.0, inplace=False) + ) + (dropout_layer): DropPath() + ) + ) + ) + (2): LayerNorm((512,), eps=1e-06, elementwise_affine=True) + ) + ) + ) + init_cfg={'type': 'Pretrained', 'checkpoint': 'work_dirs2/segformer_mit_b2_segformer_head_unet_fc_single_step_ade_pretrained_freeze_embed_80k_ade20k151/best_mIoU_iter_64000.pth'} + (decode_head): SegformerHeadUnetFCHeadMultiStepWithInit( + input_transform=multiple_select, ignore_index=0, align_corners=False + (loss_decode): CrossEntropyLoss(avg_non_ignore=False) + (conv_seg): Conv2d(256, 150, kernel_size=(1, 1), stride=(1, 1)) + (dropout): Dropout2d(p=0.1, inplace=False) + (convs): ModuleList( + (0): ConvModule( + (conv): Conv2d(64, 256, kernel_size=(1, 1), stride=(1, 1), bias=False) + (bn): SyncBatchNorm(256, eps=1e-05, momentum=0.1, affine=True, track_running_stats=True) + (activate): ReLU(inplace=True) + ) + (1): ConvModule( + (conv): Conv2d(128, 256, kernel_size=(1, 1), stride=(1, 1), bias=False) + (bn): SyncBatchNorm(256, eps=1e-05, momentum=0.1, affine=True, track_running_stats=True) + (activate): ReLU(inplace=True) + ) + (2): ConvModule( + (conv): Conv2d(320, 256, kernel_size=(1, 1), stride=(1, 1), bias=False) + (bn): SyncBatchNorm(256, eps=1e-05, momentum=0.1, affine=True, track_running_stats=True) + (activate): ReLU(inplace=True) + ) + (3): ConvModule( + (conv): Conv2d(512, 256, kernel_size=(1, 1), stride=(1, 1), bias=False) + (bn): SyncBatchNorm(256, eps=1e-05, momentum=0.1, affine=True, track_running_stats=True) + (activate): ReLU(inplace=True) + ) + ) + (fusion_conv): ConvModule( + (conv): Conv2d(1024, 256, kernel_size=(1, 1), stride=(1, 1), bias=False) + (bn): SyncBatchNorm(256, eps=1e-05, momentum=0.1, affine=True, track_running_stats=True) + (activate): ReLU(inplace=True) + ) + (unet): Unet( + (init_conv): Conv2d(272, 128, kernel_size=(7, 7), stride=(1, 1), padding=(3, 3)) + (time_mlp): Sequential( + (0): SinusoidalPosEmb() + (1): Linear(in_features=128, out_features=512, bias=True) + (2): GELU(approximate='none') + (3): Linear(in_features=512, out_features=512, bias=True) + ) + (downs): ModuleList( + (0): ModuleList( + (0): ResnetBlock( + (mlp): Sequential( + (0): SiLU() + (1): Linear(in_features=512, out_features=256, bias=True) + ) + (block1): Block( + (proj): WeightStandardizedConv2d(128, 128, kernel_size=(3, 3), stride=(1, 1), padding=(1, 1)) + (norm): GroupNorm(8, 128, eps=1e-05, affine=True) + (act): SiLU() + ) + (block2): Block( + (proj): WeightStandardizedConv2d(128, 128, kernel_size=(3, 3), stride=(1, 1), padding=(1, 1)) + (norm): GroupNorm(8, 128, eps=1e-05, affine=True) + (act): SiLU() + ) + (res_conv): Identity() + ) + (1): ResnetBlock( + (mlp): Sequential( + (0): SiLU() + (1): Linear(in_features=512, out_features=256, bias=True) + ) + (block1): Block( + (proj): WeightStandardizedConv2d(128, 128, kernel_size=(3, 3), stride=(1, 1), padding=(1, 1)) + (norm): GroupNorm(8, 128, eps=1e-05, affine=True) + (act): SiLU() + ) + (block2): Block( + (proj): WeightStandardizedConv2d(128, 128, kernel_size=(3, 3), stride=(1, 1), padding=(1, 1)) + (norm): GroupNorm(8, 128, eps=1e-05, affine=True) + (act): SiLU() + ) + (res_conv): Identity() + ) + (2): Residual( + (fn): PreNorm( + (fn): LinearAttention( + (to_qkv): Conv2d(128, 384, kernel_size=(1, 1), stride=(1, 1), bias=False) + (to_out): Sequential( + (0): Conv2d(128, 128, kernel_size=(1, 1), stride=(1, 1)) + (1): LayerNorm() + ) + ) + (norm): LayerNorm() + ) + ) + (3): Conv2d(128, 128, kernel_size=(4, 4), stride=(2, 2), padding=(1, 1)) + ) + (1): ModuleList( + (0): ResnetBlock( + (mlp): Sequential( + (0): SiLU() + (1): Linear(in_features=512, out_features=256, bias=True) + ) + (block1): Block( + (proj): WeightStandardizedConv2d(128, 128, kernel_size=(3, 3), stride=(1, 1), padding=(1, 1)) + (norm): GroupNorm(8, 128, eps=1e-05, affine=True) + (act): SiLU() + ) + (block2): Block( + (proj): WeightStandardizedConv2d(128, 128, kernel_size=(3, 3), stride=(1, 1), padding=(1, 1)) + (norm): GroupNorm(8, 128, eps=1e-05, affine=True) + (act): SiLU() + ) + (res_conv): Identity() + ) + (1): ResnetBlock( + (mlp): Sequential( + (0): SiLU() + (1): Linear(in_features=512, out_features=256, bias=True) + ) + (block1): Block( + (proj): WeightStandardizedConv2d(128, 128, kernel_size=(3, 3), stride=(1, 1), padding=(1, 1)) + (norm): GroupNorm(8, 128, eps=1e-05, affine=True) + (act): SiLU() + ) + (block2): Block( + (proj): WeightStandardizedConv2d(128, 128, kernel_size=(3, 3), stride=(1, 1), padding=(1, 1)) + (norm): GroupNorm(8, 128, eps=1e-05, affine=True) + (act): SiLU() + ) + (res_conv): Identity() + ) + (2): Residual( + (fn): PreNorm( + (fn): LinearAttention( + (to_qkv): Conv2d(128, 384, kernel_size=(1, 1), stride=(1, 1), bias=False) + (to_out): Sequential( + (0): Conv2d(128, 128, kernel_size=(1, 1), stride=(1, 1)) + (1): LayerNorm() + ) + ) + (norm): LayerNorm() + ) + ) + (3): Conv2d(128, 128, kernel_size=(4, 4), stride=(2, 2), padding=(1, 1)) + ) + (2): ModuleList( + (0): ResnetBlock( + (mlp): Sequential( + (0): SiLU() + (1): Linear(in_features=512, out_features=256, bias=True) + ) + (block1): Block( + (proj): WeightStandardizedConv2d(128, 128, kernel_size=(3, 3), stride=(1, 1), padding=(1, 1)) + (norm): GroupNorm(8, 128, eps=1e-05, affine=True) + (act): SiLU() + ) + (block2): Block( + (proj): WeightStandardizedConv2d(128, 128, kernel_size=(3, 3), stride=(1, 1), padding=(1, 1)) + (norm): GroupNorm(8, 128, eps=1e-05, affine=True) + (act): SiLU() + ) + (res_conv): Identity() + ) + (1): ResnetBlock( + (mlp): Sequential( + (0): SiLU() + (1): Linear(in_features=512, out_features=256, bias=True) + ) + (block1): Block( + (proj): WeightStandardizedConv2d(128, 128, kernel_size=(3, 3), stride=(1, 1), padding=(1, 1)) + (norm): GroupNorm(8, 128, eps=1e-05, affine=True) + (act): SiLU() + ) + (block2): Block( + (proj): WeightStandardizedConv2d(128, 128, kernel_size=(3, 3), stride=(1, 1), padding=(1, 1)) + (norm): GroupNorm(8, 128, eps=1e-05, affine=True) + (act): SiLU() + ) + (res_conv): Identity() + ) + (2): Residual( + (fn): PreNorm( + (fn): LinearAttention( + (to_qkv): Conv2d(128, 384, kernel_size=(1, 1), stride=(1, 1), bias=False) + (to_out): Sequential( + (0): Conv2d(128, 128, kernel_size=(1, 1), stride=(1, 1)) + (1): LayerNorm() + ) + ) + (norm): LayerNorm() + ) + ) + (3): Conv2d(128, 128, kernel_size=(3, 3), stride=(1, 1), padding=(1, 1)) + ) + ) + (ups): ModuleList( + (0): ModuleList( + (0): ResnetBlock( + (mlp): Sequential( + (0): SiLU() + (1): Linear(in_features=512, out_features=256, bias=True) + ) + (block1): Block( + (proj): WeightStandardizedConv2d(256, 128, kernel_size=(3, 3), stride=(1, 1), padding=(1, 1)) + (norm): GroupNorm(8, 128, eps=1e-05, affine=True) + (act): SiLU() + ) + (block2): Block( + (proj): WeightStandardizedConv2d(128, 128, kernel_size=(3, 3), stride=(1, 1), padding=(1, 1)) + (norm): GroupNorm(8, 128, eps=1e-05, affine=True) + (act): SiLU() + ) + (res_conv): Conv2d(256, 128, kernel_size=(1, 1), stride=(1, 1)) + ) + (1): ResnetBlock( + (mlp): Sequential( + (0): SiLU() + (1): Linear(in_features=512, out_features=256, bias=True) + ) + (block1): Block( + (proj): WeightStandardizedConv2d(256, 128, kernel_size=(3, 3), stride=(1, 1), padding=(1, 1)) + (norm): GroupNorm(8, 128, eps=1e-05, affine=True) + (act): SiLU() + ) + (block2): Block( + (proj): WeightStandardizedConv2d(128, 128, kernel_size=(3, 3), stride=(1, 1), padding=(1, 1)) + (norm): GroupNorm(8, 128, eps=1e-05, affine=True) + (act): SiLU() + ) + (res_conv): Conv2d(256, 128, kernel_size=(1, 1), stride=(1, 1)) + ) + (2): Residual( + (fn): PreNorm( + (fn): LinearAttention( + (to_qkv): Conv2d(128, 384, kernel_size=(1, 1), stride=(1, 1), bias=False) + (to_out): Sequential( + (0): Conv2d(128, 128, kernel_size=(1, 1), stride=(1, 1)) + (1): LayerNorm() + ) + ) + (norm): LayerNorm() + ) + ) + (3): Sequential( + (0): Upsample(scale_factor=2.0, mode=nearest) + (1): Conv2d(128, 128, kernel_size=(3, 3), stride=(1, 1), padding=(1, 1)) + ) + ) + (1): ModuleList( + (0): ResnetBlock( + (mlp): Sequential( + (0): SiLU() + (1): Linear(in_features=512, out_features=256, bias=True) + ) + (block1): Block( + (proj): WeightStandardizedConv2d(256, 128, kernel_size=(3, 3), stride=(1, 1), padding=(1, 1)) + (norm): GroupNorm(8, 128, eps=1e-05, affine=True) + (act): SiLU() + ) + (block2): Block( + (proj): WeightStandardizedConv2d(128, 128, kernel_size=(3, 3), stride=(1, 1), padding=(1, 1)) + (norm): GroupNorm(8, 128, eps=1e-05, affine=True) + (act): SiLU() + ) + (res_conv): Conv2d(256, 128, kernel_size=(1, 1), stride=(1, 1)) + ) + (1): ResnetBlock( + (mlp): Sequential( + (0): SiLU() + (1): Linear(in_features=512, out_features=256, bias=True) + ) + (block1): Block( + (proj): WeightStandardizedConv2d(256, 128, kernel_size=(3, 3), stride=(1, 1), padding=(1, 1)) + (norm): GroupNorm(8, 128, eps=1e-05, affine=True) + (act): SiLU() + ) + (block2): Block( + (proj): WeightStandardizedConv2d(128, 128, kernel_size=(3, 3), stride=(1, 1), padding=(1, 1)) + (norm): GroupNorm(8, 128, eps=1e-05, affine=True) + (act): SiLU() + ) + (res_conv): Conv2d(256, 128, kernel_size=(1, 1), stride=(1, 1)) + ) + (2): Residual( + (fn): PreNorm( + (fn): LinearAttention( + (to_qkv): Conv2d(128, 384, kernel_size=(1, 1), stride=(1, 1), bias=False) + (to_out): Sequential( + (0): Conv2d(128, 128, kernel_size=(1, 1), stride=(1, 1)) + (1): LayerNorm() + ) + ) + (norm): LayerNorm() + ) + ) + (3): Sequential( + (0): Upsample(scale_factor=2.0, mode=nearest) + (1): Conv2d(128, 128, kernel_size=(3, 3), stride=(1, 1), padding=(1, 1)) + ) + ) + (2): ModuleList( + (0): ResnetBlock( + (mlp): Sequential( + (0): SiLU() + (1): Linear(in_features=512, out_features=256, bias=True) + ) + (block1): Block( + (proj): WeightStandardizedConv2d(256, 128, kernel_size=(3, 3), stride=(1, 1), padding=(1, 1)) + (norm): GroupNorm(8, 128, eps=1e-05, affine=True) + (act): SiLU() + ) + (block2): Block( + (proj): WeightStandardizedConv2d(128, 128, kernel_size=(3, 3), stride=(1, 1), padding=(1, 1)) + (norm): GroupNorm(8, 128, eps=1e-05, affine=True) + (act): SiLU() + ) + (res_conv): Conv2d(256, 128, kernel_size=(1, 1), stride=(1, 1)) + ) + (1): ResnetBlock( + (mlp): Sequential( + (0): SiLU() + (1): Linear(in_features=512, out_features=256, bias=True) + ) + (block1): Block( + (proj): WeightStandardizedConv2d(256, 128, kernel_size=(3, 3), stride=(1, 1), padding=(1, 1)) + (norm): GroupNorm(8, 128, eps=1e-05, affine=True) + (act): SiLU() + ) + (block2): Block( + (proj): WeightStandardizedConv2d(128, 128, kernel_size=(3, 3), stride=(1, 1), padding=(1, 1)) + (norm): GroupNorm(8, 128, eps=1e-05, affine=True) + (act): SiLU() + ) + (res_conv): Conv2d(256, 128, kernel_size=(1, 1), stride=(1, 1)) + ) + (2): Residual( + (fn): PreNorm( + (fn): LinearAttention( + (to_qkv): Conv2d(128, 384, kernel_size=(1, 1), stride=(1, 1), bias=False) + (to_out): Sequential( + (0): Conv2d(128, 128, kernel_size=(1, 1), stride=(1, 1)) + (1): LayerNorm() + ) + ) + (norm): LayerNorm() + ) + ) + (3): Conv2d(128, 128, kernel_size=(3, 3), stride=(1, 1), padding=(1, 1)) + ) + ) + (mid_block1): ResnetBlock( + (mlp): Sequential( + (0): SiLU() + (1): Linear(in_features=512, out_features=256, bias=True) + ) + (block1): Block( + (proj): WeightStandardizedConv2d(128, 128, kernel_size=(3, 3), stride=(1, 1), padding=(1, 1)) + (norm): GroupNorm(8, 128, eps=1e-05, affine=True) + (act): SiLU() + ) + (block2): Block( + (proj): WeightStandardizedConv2d(128, 128, kernel_size=(3, 3), stride=(1, 1), padding=(1, 1)) + (norm): GroupNorm(8, 128, eps=1e-05, affine=True) + (act): SiLU() + ) + (res_conv): Identity() + ) + (mid_attn): Residual( + (fn): PreNorm( + (fn): Attention( + (to_qkv): Conv2d(128, 384, kernel_size=(1, 1), stride=(1, 1), bias=False) + (to_out): Conv2d(128, 128, kernel_size=(1, 1), stride=(1, 1)) + ) + (norm): LayerNorm() + ) + ) + (mid_block2): ResnetBlock( + (mlp): Sequential( + (0): SiLU() + (1): Linear(in_features=512, out_features=256, bias=True) + ) + (block1): Block( + (proj): WeightStandardizedConv2d(128, 128, kernel_size=(3, 3), stride=(1, 1), padding=(1, 1)) + (norm): GroupNorm(8, 128, eps=1e-05, affine=True) + (act): SiLU() + ) + (block2): Block( + (proj): WeightStandardizedConv2d(128, 128, kernel_size=(3, 3), stride=(1, 1), padding=(1, 1)) + (norm): GroupNorm(8, 128, eps=1e-05, affine=True) + (act): SiLU() + ) + (res_conv): Identity() + ) + (final_res_block): ResnetBlock( + (mlp): Sequential( + (0): SiLU() + (1): Linear(in_features=512, out_features=256, bias=True) + ) + (block1): Block( + (proj): WeightStandardizedConv2d(256, 128, kernel_size=(3, 3), stride=(1, 1), padding=(1, 1)) + (norm): GroupNorm(8, 128, eps=1e-05, affine=True) + (act): SiLU() + ) + (block2): Block( + (proj): WeightStandardizedConv2d(128, 128, kernel_size=(3, 3), stride=(1, 1), padding=(1, 1)) + (norm): GroupNorm(8, 128, eps=1e-05, affine=True) + (act): SiLU() + ) + (res_conv): Conv2d(256, 128, kernel_size=(1, 1), stride=(1, 1)) + ) + (final_conv): Conv2d(128, 256, kernel_size=(1, 1), stride=(1, 1)) + ) + (conv_seg_new): Conv2d(256, 151, kernel_size=(1, 1), stride=(1, 1)) + (embed): Embedding(151, 16) + ) + init_cfg={'type': 'Pretrained', 'checkpoint': 'work_dirs2/segformer_mit_b2_segformer_head_unet_fc_single_step_ade_pretrained_freeze_embed_80k_ade20k151/best_mIoU_iter_64000.pth'} +) +2023-03-04 01:11:33,745 - mmseg - INFO - Loaded 20210 images +2023-03-04 01:11:38,111 - mmseg - INFO - Loaded 2000 images +2023-03-04 01:11:38,114 - mmseg - INFO - Start running, host: laizeqiang@SH-IDC1-10-140-37-138, work_dir: /mnt/petrelfs/laizeqiang/mmseg-baseline/work_dirs2/ablation_segformer_mit_b2_segformer_head_unet_fc_small_multi_step_ade_pretrained_freeze_embed_160k_ade20k151_finetune_ema_winit +2023-03-04 01:11:38,114 - mmseg - INFO - Hooks will be executed in the following order: +before_run: +(VERY_HIGH ) StepLrUpdaterHook +(49 ) ConstantMomentumEMAHook +(NORMAL ) CheckpointHook +(LOW ) DistEvalHookMultiSteps +(VERY_LOW ) TextLoggerHook + -------------------- +before_train_epoch: +(VERY_HIGH ) StepLrUpdaterHook +(LOW ) IterTimerHook +(LOW ) DistEvalHookMultiSteps +(VERY_LOW ) TextLoggerHook + -------------------- +before_train_iter: +(VERY_HIGH ) StepLrUpdaterHook +(49 ) ConstantMomentumEMAHook +(LOW ) IterTimerHook +(LOW ) DistEvalHookMultiSteps + -------------------- +after_train_iter: +(ABOVE_NORMAL) OptimizerHook +(49 ) ConstantMomentumEMAHook +(NORMAL ) CheckpointHook +(LOW ) IterTimerHook +(LOW ) DistEvalHookMultiSteps +(VERY_LOW ) TextLoggerHook + -------------------- +after_train_epoch: +(NORMAL ) CheckpointHook +(LOW ) DistEvalHookMultiSteps +(VERY_LOW ) TextLoggerHook + -------------------- +before_val_epoch: +(LOW ) IterTimerHook +(VERY_LOW ) TextLoggerHook + -------------------- +before_val_iter: +(LOW ) IterTimerHook + -------------------- +after_val_iter: +(LOW ) IterTimerHook + -------------------- +after_val_epoch: +(VERY_LOW ) TextLoggerHook + -------------------- +after_run: +(VERY_LOW ) TextLoggerHook + -------------------- +2023-03-04 01:11:38,115 - mmseg - INFO - workflow: [('train', 1)], max: 160000 iters +2023-03-04 01:11:38,155 - mmseg - INFO - Checkpoints will be saved to /mnt/petrelfs/laizeqiang/mmseg-baseline/work_dirs2/ablation_segformer_mit_b2_segformer_head_unet_fc_small_multi_step_ade_pretrained_freeze_embed_160k_ade20k151_finetune_ema_winit by HardDiskBackend. +2023-03-04 01:12:01,923 - mmseg - INFO - Swap parameters (before train) before iter [1] +2023-03-04 01:12:15,938 - mmseg - INFO - Iter [50/160000] lr: 7.350e-06, eta: 12:51:31, time: 0.289, data_time: 0.016, memory: 19921, decode.loss_ce: 0.2010, decode.acc_seg: 91.8177, loss: 0.2010 +2023-03-04 01:12:24,619 - mmseg - INFO - Iter [100/160000] lr: 1.485e-05, eta: 10:16:58, time: 0.174, data_time: 0.007, memory: 19921, decode.loss_ce: 0.2063, decode.acc_seg: 91.4630, loss: 0.2063 +2023-03-04 01:12:33,158 - mmseg - INFO - Iter [150/160000] lr: 2.235e-05, eta: 9:22:51, time: 0.171, data_time: 0.007, memory: 19921, decode.loss_ce: 0.1925, decode.acc_seg: 92.0309, loss: 0.1925 +2023-03-04 01:12:42,144 - mmseg - INFO - Iter [200/160000] lr: 2.985e-05, eta: 9:01:29, time: 0.179, data_time: 0.007, memory: 19921, decode.loss_ce: 0.2069, decode.acc_seg: 91.5704, loss: 0.2069 +2023-03-04 01:12:50,987 - mmseg - INFO - Iter [250/160000] lr: 3.735e-05, eta: 8:47:22, time: 0.177, data_time: 0.007, memory: 19921, decode.loss_ce: 0.2051, decode.acc_seg: 91.4837, loss: 0.2051 +2023-03-04 01:12:59,477 - mmseg - INFO - Iter [300/160000] lr: 4.485e-05, eta: 8:34:39, time: 0.170, data_time: 0.007, memory: 19921, decode.loss_ce: 0.1986, decode.acc_seg: 91.7317, loss: 0.1986 +2023-03-04 01:13:08,202 - mmseg - INFO - Iter [350/160000] lr: 5.235e-05, eta: 8:27:19, time: 0.174, data_time: 0.008, memory: 19921, decode.loss_ce: 0.2020, decode.acc_seg: 91.6640, loss: 0.2020 +2023-03-04 01:13:16,799 - mmseg - INFO - Iter [400/160000] lr: 5.985e-05, eta: 8:20:51, time: 0.172, data_time: 0.007, memory: 19921, decode.loss_ce: 0.2013, decode.acc_seg: 91.6875, loss: 0.2013 +2023-03-04 01:13:25,304 - mmseg - INFO - Iter [450/160000] lr: 6.735e-05, eta: 8:15:23, time: 0.170, data_time: 0.007, memory: 19921, decode.loss_ce: 0.2060, decode.acc_seg: 91.5308, loss: 0.2060 +2023-03-04 01:13:33,947 - mmseg - INFO - Iter [500/160000] lr: 7.485e-05, eta: 8:11:39, time: 0.173, data_time: 0.007, memory: 19921, decode.loss_ce: 0.2105, decode.acc_seg: 91.3391, loss: 0.2105 +2023-03-04 01:13:42,280 - mmseg - INFO - Iter [550/160000] lr: 8.235e-05, eta: 8:07:05, time: 0.167, data_time: 0.008, memory: 19921, decode.loss_ce: 0.2121, decode.acc_seg: 91.3564, loss: 0.2121 +2023-03-04 01:13:50,715 - mmseg - INFO - Iter [600/160000] lr: 8.985e-05, eta: 8:03:42, time: 0.169, data_time: 0.007, memory: 19921, decode.loss_ce: 0.2139, decode.acc_seg: 91.2268, loss: 0.2139 +2023-03-04 01:14:01,628 - mmseg - INFO - Iter [650/160000] lr: 9.735e-05, eta: 8:10:56, time: 0.218, data_time: 0.054, memory: 19921, decode.loss_ce: 0.2006, decode.acc_seg: 91.7775, loss: 0.2006 +2023-03-04 01:14:10,017 - mmseg - INFO - Iter [700/160000] lr: 1.049e-04, eta: 8:07:33, time: 0.168, data_time: 0.007, memory: 19921, decode.loss_ce: 0.2067, decode.acc_seg: 91.3369, loss: 0.2067 +2023-03-04 01:14:18,464 - mmseg - INFO - Iter [750/160000] lr: 1.124e-04, eta: 8:04:47, time: 0.169, data_time: 0.007, memory: 19921, decode.loss_ce: 0.2142, decode.acc_seg: 91.1695, loss: 0.2142 +2023-03-04 01:14:26,851 - mmseg - INFO - Iter [800/160000] lr: 1.199e-04, eta: 8:02:09, time: 0.168, data_time: 0.008, memory: 19921, decode.loss_ce: 0.1992, decode.acc_seg: 91.6922, loss: 0.1992 +2023-03-04 01:14:35,260 - mmseg - INFO - Iter [850/160000] lr: 1.274e-04, eta: 7:59:54, time: 0.168, data_time: 0.007, memory: 19921, decode.loss_ce: 0.2080, decode.acc_seg: 91.3783, loss: 0.2080 +2023-03-04 01:14:43,753 - mmseg - INFO - Iter [900/160000] lr: 1.349e-04, eta: 7:58:07, time: 0.170, data_time: 0.007, memory: 19921, decode.loss_ce: 0.2170, decode.acc_seg: 91.1851, loss: 0.2170 +2023-03-04 01:14:52,262 - mmseg - INFO - Iter [950/160000] lr: 1.424e-04, eta: 7:56:33, time: 0.170, data_time: 0.007, memory: 19921, decode.loss_ce: 0.2063, decode.acc_seg: 91.5560, loss: 0.2063 +2023-03-04 01:15:00,806 - mmseg - INFO - Exp name: ablation_segformer_mit_b2_segformer_head_unet_fc_small_multi_step_ade_pretrained_freeze_embed_160k_ade20k151_finetune_ema_winit.py +2023-03-04 01:15:00,806 - mmseg - INFO - Iter [1000/160000] lr: 1.499e-04, eta: 7:55:13, time: 0.171, data_time: 0.007, memory: 19921, decode.loss_ce: 0.2254, decode.acc_seg: 91.0168, loss: 0.2254 +2023-03-04 01:15:09,901 - mmseg - INFO - Iter [1050/160000] lr: 1.500e-04, eta: 7:55:23, time: 0.182, data_time: 0.007, memory: 19921, decode.loss_ce: 0.2211, decode.acc_seg: 91.0895, loss: 0.2211 +2023-03-04 01:15:18,437 - mmseg - INFO - Iter [1100/160000] lr: 1.500e-04, eta: 7:54:12, time: 0.171, data_time: 0.007, memory: 19921, decode.loss_ce: 0.2173, decode.acc_seg: 91.0906, loss: 0.2173 +2023-03-04 01:15:26,741 - mmseg - INFO - Iter [1150/160000] lr: 1.500e-04, eta: 7:52:31, time: 0.166, data_time: 0.008, memory: 19921, decode.loss_ce: 0.2102, decode.acc_seg: 91.5086, loss: 0.2102 +2023-03-04 01:15:35,153 - mmseg - INFO - Iter [1200/160000] lr: 1.500e-04, eta: 7:51:16, time: 0.169, data_time: 0.008, memory: 19921, decode.loss_ce: 0.2214, decode.acc_seg: 90.9479, loss: 0.2214 +2023-03-04 01:15:43,920 - mmseg - INFO - Iter [1250/160000] lr: 1.500e-04, eta: 7:50:48, time: 0.175, data_time: 0.007, memory: 19921, decode.loss_ce: 0.2244, decode.acc_seg: 90.7032, loss: 0.2244 +2023-03-04 01:15:55,021 - mmseg - INFO - Iter [1300/160000] lr: 1.500e-04, eta: 7:55:10, time: 0.222, data_time: 0.056, memory: 19921, decode.loss_ce: 0.2157, decode.acc_seg: 91.1193, loss: 0.2157 +2023-03-04 01:16:03,655 - mmseg - INFO - Iter [1350/160000] lr: 1.500e-04, eta: 7:54:20, time: 0.173, data_time: 0.007, memory: 19921, decode.loss_ce: 0.2242, decode.acc_seg: 90.9365, loss: 0.2242 +2023-03-04 01:16:12,015 - mmseg - INFO - Iter [1400/160000] lr: 1.500e-04, eta: 7:53:02, time: 0.167, data_time: 0.008, memory: 19921, decode.loss_ce: 0.2238, decode.acc_seg: 91.0003, loss: 0.2238 +2023-03-04 01:16:20,464 - mmseg - INFO - Iter [1450/160000] lr: 1.500e-04, eta: 7:51:58, time: 0.169, data_time: 0.007, memory: 19921, decode.loss_ce: 0.2280, decode.acc_seg: 90.7679, loss: 0.2280 +2023-03-04 01:16:29,202 - mmseg - INFO - Iter [1500/160000] lr: 1.500e-04, eta: 7:51:29, time: 0.175, data_time: 0.007, memory: 19921, decode.loss_ce: 0.2142, decode.acc_seg: 91.2660, loss: 0.2142 +2023-03-04 01:16:37,438 - mmseg - INFO - Iter [1550/160000] lr: 1.500e-04, eta: 7:50:10, time: 0.165, data_time: 0.007, memory: 19921, decode.loss_ce: 0.2239, decode.acc_seg: 90.8513, loss: 0.2239 +2023-03-04 01:16:45,763 - mmseg - INFO - Iter [1600/160000] lr: 1.500e-04, eta: 7:49:04, time: 0.167, data_time: 0.007, memory: 19921, decode.loss_ce: 0.2226, decode.acc_seg: 91.0006, loss: 0.2226 +2023-03-04 01:16:54,101 - mmseg - INFO - Iter [1650/160000] lr: 1.500e-04, eta: 7:48:03, time: 0.167, data_time: 0.007, memory: 19921, decode.loss_ce: 0.2170, decode.acc_seg: 91.0534, loss: 0.2170 +2023-03-04 01:17:02,594 - mmseg - INFO - Iter [1700/160000] lr: 1.500e-04, eta: 7:47:19, time: 0.170, data_time: 0.007, memory: 19921, decode.loss_ce: 0.2150, decode.acc_seg: 91.1217, loss: 0.2150 +2023-03-04 01:17:11,362 - mmseg - INFO - Iter [1750/160000] lr: 1.500e-04, eta: 7:47:00, time: 0.175, data_time: 0.008, memory: 19921, decode.loss_ce: 0.2159, decode.acc_seg: 91.2234, loss: 0.2159 +2023-03-04 01:17:20,394 - mmseg - INFO - Iter [1800/160000] lr: 1.500e-04, eta: 7:47:09, time: 0.181, data_time: 0.008, memory: 19921, decode.loss_ce: 0.2160, decode.acc_seg: 91.1906, loss: 0.2160 +2023-03-04 01:17:28,751 - mmseg - INFO - Iter [1850/160000] lr: 1.500e-04, eta: 7:46:17, time: 0.167, data_time: 0.008, memory: 19921, decode.loss_ce: 0.2236, decode.acc_seg: 90.8068, loss: 0.2236 +2023-03-04 01:17:39,937 - mmseg - INFO - Iter [1900/160000] lr: 1.500e-04, eta: 7:49:23, time: 0.224, data_time: 0.055, memory: 19921, decode.loss_ce: 0.2116, decode.acc_seg: 91.4693, loss: 0.2116 +2023-03-04 01:17:48,776 - mmseg - INFO - Iter [1950/160000] lr: 1.500e-04, eta: 7:49:07, time: 0.177, data_time: 0.007, memory: 19921, decode.loss_ce: 0.2160, decode.acc_seg: 91.1890, loss: 0.2160 +2023-03-04 01:17:57,213 - mmseg - INFO - Exp name: ablation_segformer_mit_b2_segformer_head_unet_fc_small_multi_step_ade_pretrained_freeze_embed_160k_ade20k151_finetune_ema_winit.py +2023-03-04 01:17:57,214 - mmseg - INFO - Iter [2000/160000] lr: 1.500e-04, eta: 7:48:22, time: 0.169, data_time: 0.007, memory: 19921, decode.loss_ce: 0.2060, decode.acc_seg: 91.6025, loss: 0.2060 +2023-03-04 01:18:06,000 - mmseg - INFO - Iter [2050/160000] lr: 1.500e-04, eta: 7:48:05, time: 0.176, data_time: 0.007, memory: 19921, decode.loss_ce: 0.2180, decode.acc_seg: 91.0380, loss: 0.2180 +2023-03-04 01:18:14,339 - mmseg - INFO - Iter [2100/160000] lr: 1.500e-04, eta: 7:47:15, time: 0.167, data_time: 0.007, memory: 19921, decode.loss_ce: 0.2257, decode.acc_seg: 90.8269, loss: 0.2257 +2023-03-04 01:18:22,827 - mmseg - INFO - Iter [2150/160000] lr: 1.500e-04, eta: 7:46:37, time: 0.170, data_time: 0.007, memory: 19921, decode.loss_ce: 0.2181, decode.acc_seg: 90.9323, loss: 0.2181 +2023-03-04 01:18:31,318 - mmseg - INFO - Iter [2200/160000] lr: 1.500e-04, eta: 7:46:01, time: 0.170, data_time: 0.007, memory: 19921, decode.loss_ce: 0.2235, decode.acc_seg: 90.9444, loss: 0.2235 +2023-03-04 01:18:39,800 - mmseg - INFO - Iter [2250/160000] lr: 1.500e-04, eta: 7:45:26, time: 0.170, data_time: 0.007, memory: 19921, decode.loss_ce: 0.2133, decode.acc_seg: 91.2842, loss: 0.2133 +2023-03-04 01:18:48,326 - mmseg - INFO - Iter [2300/160000] lr: 1.500e-04, eta: 7:44:55, time: 0.171, data_time: 0.008, memory: 19921, decode.loss_ce: 0.2157, decode.acc_seg: 91.2263, loss: 0.2157 +2023-03-04 01:18:56,684 - mmseg - INFO - Iter [2350/160000] lr: 1.500e-04, eta: 7:44:13, time: 0.167, data_time: 0.007, memory: 19921, decode.loss_ce: 0.2176, decode.acc_seg: 91.0900, loss: 0.2176 +2023-03-04 01:19:05,259 - mmseg - INFO - Iter [2400/160000] lr: 1.500e-04, eta: 7:43:48, time: 0.172, data_time: 0.007, memory: 19921, decode.loss_ce: 0.2184, decode.acc_seg: 91.0987, loss: 0.2184 +2023-03-04 01:19:13,768 - mmseg - INFO - Iter [2450/160000] lr: 1.500e-04, eta: 7:43:18, time: 0.170, data_time: 0.007, memory: 19921, decode.loss_ce: 0.2152, decode.acc_seg: 91.2007, loss: 0.2152 +2023-03-04 01:19:22,314 - mmseg - INFO - Iter [2500/160000] lr: 1.500e-04, eta: 7:42:51, time: 0.171, data_time: 0.007, memory: 19921, decode.loss_ce: 0.2143, decode.acc_seg: 91.0477, loss: 0.2143 +2023-03-04 01:19:33,288 - mmseg - INFO - Iter [2550/160000] lr: 1.500e-04, eta: 7:44:55, time: 0.220, data_time: 0.055, memory: 19921, decode.loss_ce: 0.2155, decode.acc_seg: 91.0882, loss: 0.2155 +2023-03-04 01:19:42,246 - mmseg - INFO - Iter [2600/160000] lr: 1.500e-04, eta: 7:44:53, time: 0.179, data_time: 0.007, memory: 19921, decode.loss_ce: 0.2123, decode.acc_seg: 91.2798, loss: 0.2123 +2023-03-04 01:19:50,733 - mmseg - INFO - Iter [2650/160000] lr: 1.500e-04, eta: 7:44:22, time: 0.170, data_time: 0.007, memory: 19921, decode.loss_ce: 0.2185, decode.acc_seg: 91.0597, loss: 0.2185 +2023-03-04 01:19:58,995 - mmseg - INFO - Iter [2700/160000] lr: 1.500e-04, eta: 7:43:39, time: 0.165, data_time: 0.007, memory: 19921, decode.loss_ce: 0.2174, decode.acc_seg: 91.1672, loss: 0.2174 +2023-03-04 01:20:07,945 - mmseg - INFO - Iter [2750/160000] lr: 1.500e-04, eta: 7:43:36, time: 0.179, data_time: 0.007, memory: 19921, decode.loss_ce: 0.2199, decode.acc_seg: 90.9525, loss: 0.2199 +2023-03-04 01:20:16,648 - mmseg - INFO - Iter [2800/160000] lr: 1.500e-04, eta: 7:43:19, time: 0.174, data_time: 0.007, memory: 19921, decode.loss_ce: 0.2161, decode.acc_seg: 91.2370, loss: 0.2161 +2023-03-04 01:20:25,186 - mmseg - INFO - Iter [2850/160000] lr: 1.500e-04, eta: 7:42:53, time: 0.171, data_time: 0.007, memory: 19921, decode.loss_ce: 0.2170, decode.acc_seg: 91.1678, loss: 0.2170 +2023-03-04 01:20:33,758 - mmseg - INFO - Iter [2900/160000] lr: 1.500e-04, eta: 7:42:31, time: 0.172, data_time: 0.007, memory: 19921, decode.loss_ce: 0.2141, decode.acc_seg: 91.2960, loss: 0.2141 +2023-03-04 01:20:42,185 - mmseg - INFO - Iter [2950/160000] lr: 1.500e-04, eta: 7:42:00, time: 0.168, data_time: 0.007, memory: 19921, decode.loss_ce: 0.2155, decode.acc_seg: 91.1938, loss: 0.2155 +2023-03-04 01:20:51,039 - mmseg - INFO - Exp name: ablation_segformer_mit_b2_segformer_head_unet_fc_small_multi_step_ade_pretrained_freeze_embed_160k_ade20k151_finetune_ema_winit.py +2023-03-04 01:20:51,039 - mmseg - INFO - Iter [3000/160000] lr: 1.500e-04, eta: 7:41:53, time: 0.177, data_time: 0.007, memory: 19921, decode.loss_ce: 0.2268, decode.acc_seg: 90.9624, loss: 0.2268 +2023-03-04 01:21:00,079 - mmseg - INFO - Iter [3050/160000] lr: 1.500e-04, eta: 7:41:54, time: 0.181, data_time: 0.007, memory: 19921, decode.loss_ce: 0.2239, decode.acc_seg: 91.0345, loss: 0.2239 +2023-03-04 01:21:08,598 - mmseg - INFO - Iter [3100/160000] lr: 1.500e-04, eta: 7:41:30, time: 0.171, data_time: 0.008, memory: 19921, decode.loss_ce: 0.2252, decode.acc_seg: 90.9719, loss: 0.2252 +2023-03-04 01:21:17,421 - mmseg - INFO - Iter [3150/160000] lr: 1.500e-04, eta: 7:41:22, time: 0.176, data_time: 0.006, memory: 19921, decode.loss_ce: 0.2111, decode.acc_seg: 91.4085, loss: 0.2111 +2023-03-04 01:21:28,265 - mmseg - INFO - Iter [3200/160000] lr: 1.500e-04, eta: 7:42:52, time: 0.217, data_time: 0.056, memory: 19921, decode.loss_ce: 0.2113, decode.acc_seg: 91.2668, loss: 0.2113 +2023-03-04 01:21:37,045 - mmseg - INFO - Iter [3250/160000] lr: 1.500e-04, eta: 7:42:39, time: 0.176, data_time: 0.007, memory: 19921, decode.loss_ce: 0.2192, decode.acc_seg: 91.1652, loss: 0.2192 +2023-03-04 01:21:45,375 - mmseg - INFO - Iter [3300/160000] lr: 1.500e-04, eta: 7:42:05, time: 0.167, data_time: 0.007, memory: 19921, decode.loss_ce: 0.2209, decode.acc_seg: 91.0099, loss: 0.2209 +2023-03-04 01:21:54,379 - mmseg - INFO - Iter [3350/160000] lr: 1.500e-04, eta: 7:42:03, time: 0.180, data_time: 0.008, memory: 19921, decode.loss_ce: 0.2100, decode.acc_seg: 91.3284, loss: 0.2100 +2023-03-04 01:22:03,120 - mmseg - INFO - Iter [3400/160000] lr: 1.500e-04, eta: 7:41:50, time: 0.175, data_time: 0.007, memory: 19921, decode.loss_ce: 0.2140, decode.acc_seg: 91.1535, loss: 0.2140 +2023-03-04 01:22:12,092 - mmseg - INFO - Iter [3450/160000] lr: 1.500e-04, eta: 7:41:46, time: 0.179, data_time: 0.007, memory: 19921, decode.loss_ce: 0.2202, decode.acc_seg: 91.0191, loss: 0.2202 +2023-03-04 01:22:20,641 - mmseg - INFO - Iter [3500/160000] lr: 1.500e-04, eta: 7:41:24, time: 0.171, data_time: 0.008, memory: 19921, decode.loss_ce: 0.2170, decode.acc_seg: 91.0639, loss: 0.2170 +2023-03-04 01:22:29,469 - mmseg - INFO - Iter [3550/160000] lr: 1.500e-04, eta: 7:41:15, time: 0.177, data_time: 0.007, memory: 19921, decode.loss_ce: 0.2302, decode.acc_seg: 90.6542, loss: 0.2302 +2023-03-04 01:22:37,845 - mmseg - INFO - Iter [3600/160000] lr: 1.500e-04, eta: 7:40:46, time: 0.168, data_time: 0.008, memory: 19921, decode.loss_ce: 0.2258, decode.acc_seg: 90.9102, loss: 0.2258 +2023-03-04 01:22:46,230 - mmseg - INFO - Iter [3650/160000] lr: 1.500e-04, eta: 7:40:17, time: 0.168, data_time: 0.007, memory: 19921, decode.loss_ce: 0.2170, decode.acc_seg: 90.9989, loss: 0.2170 +2023-03-04 01:22:54,892 - mmseg - INFO - Iter [3700/160000] lr: 1.500e-04, eta: 7:40:01, time: 0.173, data_time: 0.007, memory: 19921, decode.loss_ce: 0.2121, decode.acc_seg: 91.3887, loss: 0.2121 +2023-03-04 01:23:03,434 - mmseg - INFO - Iter [3750/160000] lr: 1.500e-04, eta: 7:39:40, time: 0.171, data_time: 0.008, memory: 19921, decode.loss_ce: 0.2114, decode.acc_seg: 91.3721, loss: 0.2114 +2023-03-04 01:23:14,486 - mmseg - INFO - Iter [3800/160000] lr: 1.500e-04, eta: 7:41:03, time: 0.221, data_time: 0.059, memory: 19921, decode.loss_ce: 0.2077, decode.acc_seg: 91.5774, loss: 0.2077 +2023-03-04 01:23:23,029 - mmseg - INFO - Iter [3850/160000] lr: 1.500e-04, eta: 7:40:42, time: 0.171, data_time: 0.007, memory: 19921, decode.loss_ce: 0.2144, decode.acc_seg: 91.1770, loss: 0.2144 +2023-03-04 01:23:31,492 - mmseg - INFO - Iter [3900/160000] lr: 1.500e-04, eta: 7:40:17, time: 0.169, data_time: 0.007, memory: 19921, decode.loss_ce: 0.2180, decode.acc_seg: 91.2331, loss: 0.2180 +2023-03-04 01:23:40,295 - mmseg - INFO - Iter [3950/160000] lr: 1.500e-04, eta: 7:40:07, time: 0.176, data_time: 0.008, memory: 19921, decode.loss_ce: 0.2240, decode.acc_seg: 90.8666, loss: 0.2240 +2023-03-04 01:23:48,727 - mmseg - INFO - Exp name: ablation_segformer_mit_b2_segformer_head_unet_fc_small_multi_step_ade_pretrained_freeze_embed_160k_ade20k151_finetune_ema_winit.py +2023-03-04 01:23:48,727 - mmseg - INFO - Iter [4000/160000] lr: 1.500e-04, eta: 7:39:42, time: 0.169, data_time: 0.007, memory: 19921, decode.loss_ce: 0.2135, decode.acc_seg: 91.3485, loss: 0.2135 +2023-03-04 01:23:57,269 - mmseg - INFO - Iter [4050/160000] lr: 1.500e-04, eta: 7:39:21, time: 0.171, data_time: 0.007, memory: 19921, decode.loss_ce: 0.2144, decode.acc_seg: 91.2606, loss: 0.2144 +2023-03-04 01:24:05,893 - mmseg - INFO - Iter [4100/160000] lr: 1.500e-04, eta: 7:39:04, time: 0.173, data_time: 0.008, memory: 19921, decode.loss_ce: 0.2171, decode.acc_seg: 91.0691, loss: 0.2171 +2023-03-04 01:24:14,829 - mmseg - INFO - Iter [4150/160000] lr: 1.500e-04, eta: 7:38:59, time: 0.178, data_time: 0.007, memory: 19921, decode.loss_ce: 0.2221, decode.acc_seg: 90.9651, loss: 0.2221 +2023-03-04 01:24:23,964 - mmseg - INFO - Iter [4200/160000] lr: 1.500e-04, eta: 7:39:02, time: 0.183, data_time: 0.007, memory: 19921, decode.loss_ce: 0.2062, decode.acc_seg: 91.4855, loss: 0.2062 +2023-03-04 01:24:32,882 - mmseg - INFO - Iter [4250/160000] lr: 1.500e-04, eta: 7:38:56, time: 0.178, data_time: 0.008, memory: 19921, decode.loss_ce: 0.2188, decode.acc_seg: 90.9804, loss: 0.2188 +2023-03-04 01:24:41,564 - mmseg - INFO - Iter [4300/160000] lr: 1.500e-04, eta: 7:38:41, time: 0.174, data_time: 0.008, memory: 19921, decode.loss_ce: 0.2153, decode.acc_seg: 91.3710, loss: 0.2153 +2023-03-04 01:24:50,016 - mmseg - INFO - Iter [4350/160000] lr: 1.500e-04, eta: 7:38:18, time: 0.169, data_time: 0.007, memory: 19921, decode.loss_ce: 0.2299, decode.acc_seg: 90.9017, loss: 0.2299 +2023-03-04 01:24:58,473 - mmseg - INFO - Iter [4400/160000] lr: 1.500e-04, eta: 7:37:56, time: 0.169, data_time: 0.007, memory: 19921, decode.loss_ce: 0.2070, decode.acc_seg: 91.4960, loss: 0.2070 +2023-03-04 01:25:09,566 - mmseg - INFO - Iter [4450/160000] lr: 1.500e-04, eta: 7:39:07, time: 0.222, data_time: 0.053, memory: 19921, decode.loss_ce: 0.2157, decode.acc_seg: 91.1415, loss: 0.2157 +2023-03-04 01:25:17,904 - mmseg - INFO - Iter [4500/160000] lr: 1.500e-04, eta: 7:38:40, time: 0.167, data_time: 0.007, memory: 19921, decode.loss_ce: 0.2184, decode.acc_seg: 91.1110, loss: 0.2184 +2023-03-04 01:25:26,227 - mmseg - INFO - Iter [4550/160000] lr: 1.500e-04, eta: 7:38:13, time: 0.166, data_time: 0.007, memory: 19921, decode.loss_ce: 0.2158, decode.acc_seg: 91.1912, loss: 0.2158 +2023-03-04 01:25:34,677 - mmseg - INFO - Iter [4600/160000] lr: 1.500e-04, eta: 7:37:51, time: 0.169, data_time: 0.008, memory: 19921, decode.loss_ce: 0.2136, decode.acc_seg: 91.3096, loss: 0.2136 +2023-03-04 01:25:43,352 - mmseg - INFO - Iter [4650/160000] lr: 1.500e-04, eta: 7:37:37, time: 0.173, data_time: 0.007, memory: 19921, decode.loss_ce: 0.2170, decode.acc_seg: 91.1832, loss: 0.2170 +2023-03-04 01:25:52,140 - mmseg - INFO - Iter [4700/160000] lr: 1.500e-04, eta: 7:37:26, time: 0.175, data_time: 0.007, memory: 19921, decode.loss_ce: 0.2133, decode.acc_seg: 91.2299, loss: 0.2133 +2023-03-04 01:26:01,040 - mmseg - INFO - Iter [4750/160000] lr: 1.500e-04, eta: 7:37:19, time: 0.178, data_time: 0.007, memory: 19921, decode.loss_ce: 0.2240, decode.acc_seg: 91.0009, loss: 0.2240 +2023-03-04 01:26:09,667 - mmseg - INFO - Iter [4800/160000] lr: 1.500e-04, eta: 7:37:04, time: 0.173, data_time: 0.007, memory: 19921, decode.loss_ce: 0.2162, decode.acc_seg: 91.1526, loss: 0.2162 +2023-03-04 01:26:18,220 - mmseg - INFO - Iter [4850/160000] lr: 1.500e-04, eta: 7:36:46, time: 0.171, data_time: 0.007, memory: 19921, decode.loss_ce: 0.2126, decode.acc_seg: 91.3783, loss: 0.2126 +2023-03-04 01:26:27,062 - mmseg - INFO - Iter [4900/160000] lr: 1.500e-04, eta: 7:36:37, time: 0.177, data_time: 0.007, memory: 19921, decode.loss_ce: 0.2257, decode.acc_seg: 90.6707, loss: 0.2257 +2023-03-04 01:26:35,572 - mmseg - INFO - Iter [4950/160000] lr: 1.500e-04, eta: 7:36:18, time: 0.170, data_time: 0.007, memory: 19921, decode.loss_ce: 0.2084, decode.acc_seg: 91.4698, loss: 0.2084 +2023-03-04 01:26:44,206 - mmseg - INFO - Exp name: ablation_segformer_mit_b2_segformer_head_unet_fc_small_multi_step_ade_pretrained_freeze_embed_160k_ade20k151_finetune_ema_winit.py +2023-03-04 01:26:44,206 - mmseg - INFO - Iter [5000/160000] lr: 1.500e-04, eta: 7:36:03, time: 0.173, data_time: 0.007, memory: 19921, decode.loss_ce: 0.2207, decode.acc_seg: 91.0618, loss: 0.2207 +2023-03-04 01:26:55,278 - mmseg - INFO - Iter [5050/160000] lr: 1.500e-04, eta: 7:37:03, time: 0.221, data_time: 0.054, memory: 19921, decode.loss_ce: 0.2123, decode.acc_seg: 91.2552, loss: 0.2123 +2023-03-04 01:27:03,949 - mmseg - INFO - Iter [5100/160000] lr: 1.500e-04, eta: 7:36:49, time: 0.173, data_time: 0.007, memory: 19921, decode.loss_ce: 0.2162, decode.acc_seg: 91.2068, loss: 0.2162 +2023-03-04 01:27:12,351 - mmseg - INFO - Iter [5150/160000] lr: 1.500e-04, eta: 7:36:27, time: 0.168, data_time: 0.007, memory: 19921, decode.loss_ce: 0.2145, decode.acc_seg: 91.2075, loss: 0.2145 +2023-03-04 01:27:21,039 - mmseg - INFO - Iter [5200/160000] lr: 1.500e-04, eta: 7:36:13, time: 0.174, data_time: 0.007, memory: 19921, decode.loss_ce: 0.2225, decode.acc_seg: 90.9268, loss: 0.2225 +2023-03-04 01:27:29,392 - mmseg - INFO - Iter [5250/160000] lr: 1.500e-04, eta: 7:35:50, time: 0.167, data_time: 0.007, memory: 19921, decode.loss_ce: 0.2040, decode.acc_seg: 91.5812, loss: 0.2040 +2023-03-04 01:27:37,749 - mmseg - INFO - Iter [5300/160000] lr: 1.500e-04, eta: 7:35:27, time: 0.167, data_time: 0.007, memory: 19921, decode.loss_ce: 0.2131, decode.acc_seg: 91.2596, loss: 0.2131 +2023-03-04 01:27:46,231 - mmseg - INFO - Iter [5350/160000] lr: 1.500e-04, eta: 7:35:08, time: 0.170, data_time: 0.007, memory: 19921, decode.loss_ce: 0.2156, decode.acc_seg: 91.3704, loss: 0.2156 +2023-03-04 01:27:55,200 - mmseg - INFO - Iter [5400/160000] lr: 1.500e-04, eta: 7:35:03, time: 0.179, data_time: 0.007, memory: 19921, decode.loss_ce: 0.2211, decode.acc_seg: 91.0548, loss: 0.2211 +2023-03-04 01:28:03,735 - mmseg - INFO - Iter [5450/160000] lr: 1.500e-04, eta: 7:34:46, time: 0.171, data_time: 0.007, memory: 19921, decode.loss_ce: 0.2263, decode.acc_seg: 90.9205, loss: 0.2263 +2023-03-04 01:28:12,556 - mmseg - INFO - Iter [5500/160000] lr: 1.500e-04, eta: 7:34:37, time: 0.176, data_time: 0.007, memory: 19921, decode.loss_ce: 0.2154, decode.acc_seg: 91.1924, loss: 0.2154 +2023-03-04 01:28:21,437 - mmseg - INFO - Iter [5550/160000] lr: 1.500e-04, eta: 7:34:30, time: 0.178, data_time: 0.007, memory: 19921, decode.loss_ce: 0.2177, decode.acc_seg: 91.2595, loss: 0.2177 +2023-03-04 01:28:29,799 - mmseg - INFO - Iter [5600/160000] lr: 1.500e-04, eta: 7:34:08, time: 0.167, data_time: 0.008, memory: 19921, decode.loss_ce: 0.2174, decode.acc_seg: 91.2763, loss: 0.2174 +2023-03-04 01:28:38,457 - mmseg - INFO - Iter [5650/160000] lr: 1.500e-04, eta: 7:33:55, time: 0.173, data_time: 0.008, memory: 19921, decode.loss_ce: 0.2114, decode.acc_seg: 91.4029, loss: 0.2114 +2023-03-04 01:28:49,351 - mmseg - INFO - Iter [5700/160000] lr: 1.500e-04, eta: 7:34:42, time: 0.218, data_time: 0.053, memory: 19921, decode.loss_ce: 0.2134, decode.acc_seg: 91.2415, loss: 0.2134 +2023-03-04 01:28:57,751 - mmseg - INFO - Iter [5750/160000] lr: 1.500e-04, eta: 7:34:21, time: 0.168, data_time: 0.007, memory: 19921, decode.loss_ce: 0.2059, decode.acc_seg: 91.4674, loss: 0.2059 +2023-03-04 01:29:06,192 - mmseg - INFO - Iter [5800/160000] lr: 1.500e-04, eta: 7:34:02, time: 0.169, data_time: 0.007, memory: 19921, decode.loss_ce: 0.2198, decode.acc_seg: 91.0958, loss: 0.2198 +2023-03-04 01:29:15,055 - mmseg - INFO - Iter [5850/160000] lr: 1.500e-04, eta: 7:33:54, time: 0.177, data_time: 0.007, memory: 19921, decode.loss_ce: 0.2170, decode.acc_seg: 91.1641, loss: 0.2170 +2023-03-04 01:29:23,666 - mmseg - INFO - Iter [5900/160000] lr: 1.500e-04, eta: 7:33:39, time: 0.172, data_time: 0.007, memory: 19921, decode.loss_ce: 0.2151, decode.acc_seg: 91.1360, loss: 0.2151 +2023-03-04 01:29:32,566 - mmseg - INFO - Iter [5950/160000] lr: 1.500e-04, eta: 7:33:32, time: 0.178, data_time: 0.007, memory: 19921, decode.loss_ce: 0.2134, decode.acc_seg: 91.2812, loss: 0.2134 +2023-03-04 01:29:41,119 - mmseg - INFO - Exp name: ablation_segformer_mit_b2_segformer_head_unet_fc_small_multi_step_ade_pretrained_freeze_embed_160k_ade20k151_finetune_ema_winit.py +2023-03-04 01:29:41,120 - mmseg - INFO - Iter [6000/160000] lr: 1.500e-04, eta: 7:33:16, time: 0.171, data_time: 0.007, memory: 19921, decode.loss_ce: 0.2248, decode.acc_seg: 91.0145, loss: 0.2248 +2023-03-04 01:29:49,617 - mmseg - INFO - Iter [6050/160000] lr: 1.500e-04, eta: 7:32:59, time: 0.170, data_time: 0.007, memory: 19921, decode.loss_ce: 0.2147, decode.acc_seg: 91.2879, loss: 0.2147 +2023-03-04 01:29:58,091 - mmseg - INFO - Iter [6100/160000] lr: 1.500e-04, eta: 7:32:41, time: 0.169, data_time: 0.007, memory: 19921, decode.loss_ce: 0.2148, decode.acc_seg: 91.3485, loss: 0.2148 +2023-03-04 01:30:06,979 - mmseg - INFO - Iter [6150/160000] lr: 1.500e-04, eta: 7:32:34, time: 0.177, data_time: 0.008, memory: 19921, decode.loss_ce: 0.2269, decode.acc_seg: 90.8658, loss: 0.2269 +2023-03-04 01:30:15,371 - mmseg - INFO - Iter [6200/160000] lr: 1.500e-04, eta: 7:32:14, time: 0.168, data_time: 0.008, memory: 19921, decode.loss_ce: 0.2150, decode.acc_seg: 91.2850, loss: 0.2150 +2023-03-04 01:30:24,023 - mmseg - INFO - Iter [6250/160000] lr: 1.500e-04, eta: 7:32:01, time: 0.173, data_time: 0.007, memory: 19921, decode.loss_ce: 0.2088, decode.acc_seg: 91.3349, loss: 0.2088 +2023-03-04 01:30:32,710 - mmseg - INFO - Iter [6300/160000] lr: 1.500e-04, eta: 7:31:49, time: 0.174, data_time: 0.008, memory: 19921, decode.loss_ce: 0.2120, decode.acc_seg: 91.3723, loss: 0.2120 +2023-03-04 01:30:43,802 - mmseg - INFO - Iter [6350/160000] lr: 1.500e-04, eta: 7:32:36, time: 0.222, data_time: 0.058, memory: 19921, decode.loss_ce: 0.2238, decode.acc_seg: 90.9403, loss: 0.2238 +2023-03-04 01:30:52,473 - mmseg - INFO - Iter [6400/160000] lr: 1.500e-04, eta: 7:32:23, time: 0.173, data_time: 0.007, memory: 19921, decode.loss_ce: 0.2122, decode.acc_seg: 91.4213, loss: 0.2122 +2023-03-04 01:31:01,243 - mmseg - INFO - Iter [6450/160000] lr: 1.500e-04, eta: 7:32:12, time: 0.175, data_time: 0.008, memory: 19921, decode.loss_ce: 0.2130, decode.acc_seg: 91.2731, loss: 0.2130 +2023-03-04 01:31:09,461 - mmseg - INFO - Iter [6500/160000] lr: 1.500e-04, eta: 7:31:49, time: 0.164, data_time: 0.007, memory: 19921, decode.loss_ce: 0.2257, decode.acc_seg: 90.9344, loss: 0.2257 +2023-03-04 01:31:18,006 - mmseg - INFO - Iter [6550/160000] lr: 1.500e-04, eta: 7:31:33, time: 0.171, data_time: 0.007, memory: 19921, decode.loss_ce: 0.2185, decode.acc_seg: 91.0232, loss: 0.2185 +2023-03-04 01:31:26,899 - mmseg - INFO - Iter [6600/160000] lr: 1.500e-04, eta: 7:31:26, time: 0.178, data_time: 0.007, memory: 19921, decode.loss_ce: 0.2165, decode.acc_seg: 91.2451, loss: 0.2165 +2023-03-04 01:31:35,786 - mmseg - INFO - Iter [6650/160000] lr: 1.500e-04, eta: 7:31:19, time: 0.178, data_time: 0.007, memory: 19921, decode.loss_ce: 0.2161, decode.acc_seg: 91.0394, loss: 0.2161 +2023-03-04 01:31:44,694 - mmseg - INFO - Iter [6700/160000] lr: 1.500e-04, eta: 7:31:11, time: 0.178, data_time: 0.008, memory: 19921, decode.loss_ce: 0.2078, decode.acc_seg: 91.5857, loss: 0.2078 +2023-03-04 01:31:53,463 - mmseg - INFO - Iter [6750/160000] lr: 1.500e-04, eta: 7:31:01, time: 0.175, data_time: 0.007, memory: 19921, decode.loss_ce: 0.2234, decode.acc_seg: 91.0438, loss: 0.2234 +2023-03-04 01:32:01,841 - mmseg - INFO - Iter [6800/160000] lr: 1.500e-04, eta: 7:30:42, time: 0.168, data_time: 0.007, memory: 19921, decode.loss_ce: 0.2143, decode.acc_seg: 91.2152, loss: 0.2143 +2023-03-04 01:32:10,665 - mmseg - INFO - Iter [6850/160000] lr: 1.500e-04, eta: 7:30:33, time: 0.176, data_time: 0.008, memory: 19921, decode.loss_ce: 0.2141, decode.acc_seg: 91.1247, loss: 0.2141 +2023-03-04 01:32:18,988 - mmseg - INFO - Iter [6900/160000] lr: 1.500e-04, eta: 7:30:13, time: 0.166, data_time: 0.007, memory: 19921, decode.loss_ce: 0.2068, decode.acc_seg: 91.5640, loss: 0.2068 +2023-03-04 01:32:29,919 - mmseg - INFO - Iter [6950/160000] lr: 1.500e-04, eta: 7:30:51, time: 0.219, data_time: 0.054, memory: 19921, decode.loss_ce: 0.2155, decode.acc_seg: 91.2681, loss: 0.2155 +2023-03-04 01:32:38,371 - mmseg - INFO - Exp name: ablation_segformer_mit_b2_segformer_head_unet_fc_small_multi_step_ade_pretrained_freeze_embed_160k_ade20k151_finetune_ema_winit.py +2023-03-04 01:32:38,371 - mmseg - INFO - Iter [7000/160000] lr: 1.500e-04, eta: 7:30:34, time: 0.169, data_time: 0.007, memory: 19921, decode.loss_ce: 0.2131, decode.acc_seg: 91.2556, loss: 0.2131 +2023-03-04 01:32:47,048 - mmseg - INFO - Iter [7050/160000] lr: 1.500e-04, eta: 7:30:22, time: 0.174, data_time: 0.008, memory: 19921, decode.loss_ce: 0.2090, decode.acc_seg: 91.2798, loss: 0.2090 +2023-03-04 01:32:55,446 - mmseg - INFO - Iter [7100/160000] lr: 1.500e-04, eta: 7:30:03, time: 0.168, data_time: 0.007, memory: 19921, decode.loss_ce: 0.2164, decode.acc_seg: 91.2823, loss: 0.2164 +2023-03-04 01:33:03,778 - mmseg - INFO - Iter [7150/160000] lr: 1.500e-04, eta: 7:29:44, time: 0.167, data_time: 0.007, memory: 19921, decode.loss_ce: 0.2083, decode.acc_seg: 91.4712, loss: 0.2083 +2023-03-04 01:33:12,213 - mmseg - INFO - Iter [7200/160000] lr: 1.500e-04, eta: 7:29:27, time: 0.169, data_time: 0.007, memory: 19921, decode.loss_ce: 0.2200, decode.acc_seg: 91.0710, loss: 0.2200 +2023-03-04 01:33:20,776 - mmseg - INFO - Iter [7250/160000] lr: 1.500e-04, eta: 7:29:12, time: 0.171, data_time: 0.008, memory: 19921, decode.loss_ce: 0.2092, decode.acc_seg: 91.3690, loss: 0.2092 +2023-03-04 01:33:29,259 - mmseg - INFO - Iter [7300/160000] lr: 1.500e-04, eta: 7:28:56, time: 0.170, data_time: 0.007, memory: 19921, decode.loss_ce: 0.2198, decode.acc_seg: 91.2049, loss: 0.2198 +2023-03-04 01:33:37,960 - mmseg - INFO - Iter [7350/160000] lr: 1.500e-04, eta: 7:28:45, time: 0.174, data_time: 0.007, memory: 19921, decode.loss_ce: 0.2153, decode.acc_seg: 91.2397, loss: 0.2153 +2023-03-04 01:33:46,306 - mmseg - INFO - Iter [7400/160000] lr: 1.500e-04, eta: 7:28:26, time: 0.167, data_time: 0.007, memory: 19921, decode.loss_ce: 0.2182, decode.acc_seg: 91.1950, loss: 0.2182 +2023-03-04 01:33:55,035 - mmseg - INFO - Iter [7450/160000] lr: 1.500e-04, eta: 7:28:16, time: 0.175, data_time: 0.007, memory: 19921, decode.loss_ce: 0.2178, decode.acc_seg: 91.2568, loss: 0.2178 +2023-03-04 01:34:03,637 - mmseg - INFO - Iter [7500/160000] lr: 1.500e-04, eta: 7:28:03, time: 0.172, data_time: 0.007, memory: 19921, decode.loss_ce: 0.2139, decode.acc_seg: 91.2091, loss: 0.2139 +2023-03-04 01:34:12,123 - mmseg - INFO - Iter [7550/160000] lr: 1.500e-04, eta: 7:27:47, time: 0.170, data_time: 0.007, memory: 19921, decode.loss_ce: 0.2072, decode.acc_seg: 91.4930, loss: 0.2072 +2023-03-04 01:34:23,242 - mmseg - INFO - Iter [7600/160000] lr: 1.500e-04, eta: 7:28:25, time: 0.222, data_time: 0.054, memory: 19921, decode.loss_ce: 0.2210, decode.acc_seg: 91.0212, loss: 0.2210 +2023-03-04 01:34:31,753 - mmseg - INFO - Iter [7650/160000] lr: 1.500e-04, eta: 7:28:10, time: 0.170, data_time: 0.007, memory: 19921, decode.loss_ce: 0.2129, decode.acc_seg: 91.4318, loss: 0.2129 +2023-03-04 01:34:40,132 - mmseg - INFO - Iter [7700/160000] lr: 1.500e-04, eta: 7:27:52, time: 0.168, data_time: 0.007, memory: 19921, decode.loss_ce: 0.2155, decode.acc_seg: 91.3165, loss: 0.2155 +2023-03-04 01:34:48,832 - mmseg - INFO - Iter [7750/160000] lr: 1.500e-04, eta: 7:27:41, time: 0.174, data_time: 0.007, memory: 19921, decode.loss_ce: 0.2104, decode.acc_seg: 91.4200, loss: 0.2104 +2023-03-04 01:34:57,162 - mmseg - INFO - Iter [7800/160000] lr: 1.500e-04, eta: 7:27:22, time: 0.167, data_time: 0.007, memory: 19921, decode.loss_ce: 0.2125, decode.acc_seg: 91.3494, loss: 0.2125 +2023-03-04 01:35:05,602 - mmseg - INFO - Iter [7850/160000] lr: 1.500e-04, eta: 7:27:06, time: 0.169, data_time: 0.007, memory: 19921, decode.loss_ce: 0.2205, decode.acc_seg: 91.1087, loss: 0.2205 +2023-03-04 01:35:14,181 - mmseg - INFO - Iter [7900/160000] lr: 1.500e-04, eta: 7:26:53, time: 0.171, data_time: 0.007, memory: 19921, decode.loss_ce: 0.2119, decode.acc_seg: 91.2540, loss: 0.2119 +2023-03-04 01:35:22,608 - mmseg - INFO - Iter [7950/160000] lr: 1.500e-04, eta: 7:26:37, time: 0.169, data_time: 0.007, memory: 19921, decode.loss_ce: 0.2135, decode.acc_seg: 91.3118, loss: 0.2135 +2023-03-04 01:35:31,447 - mmseg - INFO - Exp name: ablation_segformer_mit_b2_segformer_head_unet_fc_small_multi_step_ade_pretrained_freeze_embed_160k_ade20k151_finetune_ema_winit.py +2023-03-04 01:35:31,447 - mmseg - INFO - Iter [8000/160000] lr: 1.500e-04, eta: 7:26:28, time: 0.177, data_time: 0.007, memory: 19921, decode.loss_ce: 0.2178, decode.acc_seg: 91.3183, loss: 0.2178 +2023-03-04 01:35:40,130 - mmseg - INFO - Iter [8050/160000] lr: 1.500e-04, eta: 7:26:17, time: 0.174, data_time: 0.007, memory: 19921, decode.loss_ce: 0.2190, decode.acc_seg: 91.1934, loss: 0.2190 +2023-03-04 01:35:49,122 - mmseg - INFO - Iter [8100/160000] lr: 1.500e-04, eta: 7:26:11, time: 0.180, data_time: 0.007, memory: 19921, decode.loss_ce: 0.2016, decode.acc_seg: 91.7365, loss: 0.2016 +2023-03-04 01:35:58,004 - mmseg - INFO - Iter [8150/160000] lr: 1.500e-04, eta: 7:26:04, time: 0.178, data_time: 0.008, memory: 19921, decode.loss_ce: 0.2036, decode.acc_seg: 91.6776, loss: 0.2036 +2023-03-04 01:36:06,266 - mmseg - INFO - Iter [8200/160000] lr: 1.500e-04, eta: 7:25:45, time: 0.165, data_time: 0.007, memory: 19921, decode.loss_ce: 0.2169, decode.acc_seg: 91.3690, loss: 0.2169 +2023-03-04 01:36:17,612 - mmseg - INFO - Iter [8250/160000] lr: 1.500e-04, eta: 7:26:23, time: 0.227, data_time: 0.056, memory: 19921, decode.loss_ce: 0.2173, decode.acc_seg: 90.9879, loss: 0.2173 +2023-03-04 01:36:26,115 - mmseg - INFO - Iter [8300/160000] lr: 1.500e-04, eta: 7:26:08, time: 0.170, data_time: 0.008, memory: 19921, decode.loss_ce: 0.2179, decode.acc_seg: 91.1261, loss: 0.2179 +2023-03-04 01:36:34,410 - mmseg - INFO - Iter [8350/160000] lr: 1.500e-04, eta: 7:25:50, time: 0.166, data_time: 0.008, memory: 19921, decode.loss_ce: 0.2108, decode.acc_seg: 91.3262, loss: 0.2108 +2023-03-04 01:36:43,146 - mmseg - INFO - Iter [8400/160000] lr: 1.500e-04, eta: 7:25:39, time: 0.174, data_time: 0.007, memory: 19921, decode.loss_ce: 0.2103, decode.acc_seg: 91.3491, loss: 0.2103 +2023-03-04 01:36:51,773 - mmseg - INFO - Iter [8450/160000] lr: 1.500e-04, eta: 7:25:27, time: 0.173, data_time: 0.008, memory: 19921, decode.loss_ce: 0.2110, decode.acc_seg: 91.4588, loss: 0.2110 +2023-03-04 01:37:00,343 - mmseg - INFO - Iter [8500/160000] lr: 1.500e-04, eta: 7:25:14, time: 0.171, data_time: 0.007, memory: 19921, decode.loss_ce: 0.2204, decode.acc_seg: 91.0809, loss: 0.2204 +2023-03-04 01:37:08,881 - mmseg - INFO - Iter [8550/160000] lr: 1.500e-04, eta: 7:25:00, time: 0.171, data_time: 0.008, memory: 19921, decode.loss_ce: 0.2141, decode.acc_seg: 91.2849, loss: 0.2141 +2023-03-04 01:37:17,554 - mmseg - INFO - Iter [8600/160000] lr: 1.500e-04, eta: 7:24:49, time: 0.173, data_time: 0.007, memory: 19921, decode.loss_ce: 0.2208, decode.acc_seg: 91.0958, loss: 0.2208 +2023-03-04 01:37:26,423 - mmseg - INFO - Iter [8650/160000] lr: 1.500e-04, eta: 7:24:41, time: 0.178, data_time: 0.007, memory: 19921, decode.loss_ce: 0.2141, decode.acc_seg: 91.3316, loss: 0.2141 +2023-03-04 01:37:34,886 - mmseg - INFO - Iter [8700/160000] lr: 1.500e-04, eta: 7:24:26, time: 0.169, data_time: 0.007, memory: 19921, decode.loss_ce: 0.2157, decode.acc_seg: 91.0840, loss: 0.2157 +2023-03-04 01:37:43,203 - mmseg - INFO - Iter [8750/160000] lr: 1.500e-04, eta: 7:24:09, time: 0.166, data_time: 0.007, memory: 19921, decode.loss_ce: 0.2090, decode.acc_seg: 91.3718, loss: 0.2090 +2023-03-04 01:37:51,650 - mmseg - INFO - Iter [8800/160000] lr: 1.500e-04, eta: 7:23:54, time: 0.169, data_time: 0.007, memory: 19921, decode.loss_ce: 0.2129, decode.acc_seg: 91.2696, loss: 0.2129 +2023-03-04 01:38:02,336 - mmseg - INFO - Iter [8850/160000] lr: 1.500e-04, eta: 7:24:17, time: 0.214, data_time: 0.055, memory: 19921, decode.loss_ce: 0.2195, decode.acc_seg: 90.9772, loss: 0.2195 +2023-03-04 01:38:10,876 - mmseg - INFO - Iter [8900/160000] lr: 1.500e-04, eta: 7:24:03, time: 0.171, data_time: 0.007, memory: 19921, decode.loss_ce: 0.2192, decode.acc_seg: 90.9826, loss: 0.2192 +2023-03-04 01:38:19,381 - mmseg - INFO - Iter [8950/160000] lr: 1.500e-04, eta: 7:23:49, time: 0.170, data_time: 0.007, memory: 19921, decode.loss_ce: 0.2181, decode.acc_seg: 91.2460, loss: 0.2181 +2023-03-04 01:38:27,775 - mmseg - INFO - Exp name: ablation_segformer_mit_b2_segformer_head_unet_fc_small_multi_step_ade_pretrained_freeze_embed_160k_ade20k151_finetune_ema_winit.py +2023-03-04 01:38:27,775 - mmseg - INFO - Iter [9000/160000] lr: 1.500e-04, eta: 7:23:33, time: 0.168, data_time: 0.007, memory: 19921, decode.loss_ce: 0.2179, decode.acc_seg: 91.0402, loss: 0.2179 +2023-03-04 01:38:36,565 - mmseg - INFO - Iter [9050/160000] lr: 1.500e-04, eta: 7:23:24, time: 0.176, data_time: 0.007, memory: 19921, decode.loss_ce: 0.2103, decode.acc_seg: 91.4261, loss: 0.2103 +2023-03-04 01:38:45,281 - mmseg - INFO - Iter [9100/160000] lr: 1.500e-04, eta: 7:23:14, time: 0.174, data_time: 0.007, memory: 19921, decode.loss_ce: 0.2178, decode.acc_seg: 91.2501, loss: 0.2178 +2023-03-04 01:38:53,875 - mmseg - INFO - Iter [9150/160000] lr: 1.500e-04, eta: 7:23:01, time: 0.172, data_time: 0.008, memory: 19921, decode.loss_ce: 0.2093, decode.acc_seg: 91.4702, loss: 0.2093 +2023-03-04 01:39:02,848 - mmseg - INFO - Iter [9200/160000] lr: 1.500e-04, eta: 7:22:55, time: 0.179, data_time: 0.008, memory: 19921, decode.loss_ce: 0.2255, decode.acc_seg: 90.6762, loss: 0.2255 +2023-03-04 01:39:11,421 - mmseg - INFO - Iter [9250/160000] lr: 1.500e-04, eta: 7:22:42, time: 0.171, data_time: 0.007, memory: 19921, decode.loss_ce: 0.2079, decode.acc_seg: 91.4221, loss: 0.2079 +2023-03-04 01:39:20,236 - mmseg - INFO - Iter [9300/160000] lr: 1.500e-04, eta: 7:22:33, time: 0.176, data_time: 0.007, memory: 19921, decode.loss_ce: 0.2088, decode.acc_seg: 91.4913, loss: 0.2088 +2023-03-04 01:39:28,772 - mmseg - INFO - Iter [9350/160000] lr: 1.500e-04, eta: 7:22:20, time: 0.171, data_time: 0.007, memory: 19921, decode.loss_ce: 0.2206, decode.acc_seg: 90.9889, loss: 0.2206 +2023-03-04 01:39:37,119 - mmseg - INFO - Iter [9400/160000] lr: 1.500e-04, eta: 7:22:04, time: 0.167, data_time: 0.007, memory: 19921, decode.loss_ce: 0.2158, decode.acc_seg: 91.1426, loss: 0.2158 +2023-03-04 01:39:45,493 - mmseg - INFO - Iter [9450/160000] lr: 1.500e-04, eta: 7:21:49, time: 0.167, data_time: 0.007, memory: 19921, decode.loss_ce: 0.2153, decode.acc_seg: 91.1441, loss: 0.2153 +2023-03-04 01:39:56,544 - mmseg - INFO - Iter [9500/160000] lr: 1.500e-04, eta: 7:22:15, time: 0.221, data_time: 0.057, memory: 19921, decode.loss_ce: 0.2177, decode.acc_seg: 91.2189, loss: 0.2177 +2023-03-04 01:40:04,962 - mmseg - INFO - Iter [9550/160000] lr: 1.500e-04, eta: 7:22:00, time: 0.168, data_time: 0.007, memory: 19921, decode.loss_ce: 0.2253, decode.acc_seg: 90.6787, loss: 0.2253 +2023-03-04 01:40:13,610 - mmseg - INFO - Iter [9600/160000] lr: 1.500e-04, eta: 7:21:49, time: 0.173, data_time: 0.008, memory: 19921, decode.loss_ce: 0.2069, decode.acc_seg: 91.5040, loss: 0.2069 +2023-03-04 01:40:22,194 - mmseg - INFO - Iter [9650/160000] lr: 1.500e-04, eta: 7:21:36, time: 0.172, data_time: 0.007, memory: 19921, decode.loss_ce: 0.2140, decode.acc_seg: 91.2888, loss: 0.2140 +2023-03-04 01:40:30,830 - mmseg - INFO - Iter [9700/160000] lr: 1.500e-04, eta: 7:21:25, time: 0.173, data_time: 0.007, memory: 19921, decode.loss_ce: 0.2128, decode.acc_seg: 91.4033, loss: 0.2128 +2023-03-04 01:40:39,447 - mmseg - INFO - Iter [9750/160000] lr: 1.500e-04, eta: 7:21:13, time: 0.172, data_time: 0.007, memory: 19921, decode.loss_ce: 0.2101, decode.acc_seg: 91.4371, loss: 0.2101 +2023-03-04 01:40:47,839 - mmseg - INFO - Iter [9800/160000] lr: 1.500e-04, eta: 7:20:58, time: 0.168, data_time: 0.007, memory: 19921, decode.loss_ce: 0.2085, decode.acc_seg: 91.4177, loss: 0.2085 +2023-03-04 01:40:56,657 - mmseg - INFO - Iter [9850/160000] lr: 1.500e-04, eta: 7:20:49, time: 0.176, data_time: 0.007, memory: 19921, decode.loss_ce: 0.2153, decode.acc_seg: 91.1848, loss: 0.2153 +2023-03-04 01:41:05,627 - mmseg - INFO - Iter [9900/160000] lr: 1.500e-04, eta: 7:20:43, time: 0.180, data_time: 0.007, memory: 19921, decode.loss_ce: 0.2199, decode.acc_seg: 91.0728, loss: 0.2199 +2023-03-04 01:41:14,133 - mmseg - INFO - Iter [9950/160000] lr: 1.500e-04, eta: 7:20:30, time: 0.170, data_time: 0.007, memory: 19921, decode.loss_ce: 0.2199, decode.acc_seg: 90.9794, loss: 0.2199 +2023-03-04 01:41:22,599 - mmseg - INFO - Exp name: ablation_segformer_mit_b2_segformer_head_unet_fc_small_multi_step_ade_pretrained_freeze_embed_160k_ade20k151_finetune_ema_winit.py +2023-03-04 01:41:22,600 - mmseg - INFO - Iter [10000/160000] lr: 1.500e-04, eta: 7:20:15, time: 0.169, data_time: 0.007, memory: 19921, decode.loss_ce: 0.2168, decode.acc_seg: 91.3064, loss: 0.2168 +2023-03-04 01:41:31,581 - mmseg - INFO - Iter [10050/160000] lr: 1.500e-04, eta: 7:20:09, time: 0.180, data_time: 0.008, memory: 19921, decode.loss_ce: 0.2118, decode.acc_seg: 91.3407, loss: 0.2118 +2023-03-04 01:41:42,641 - mmseg - INFO - Iter [10100/160000] lr: 1.500e-04, eta: 7:20:34, time: 0.221, data_time: 0.054, memory: 19921, decode.loss_ce: 0.2109, decode.acc_seg: 91.4006, loss: 0.2109 +2023-03-04 01:41:51,084 - mmseg - INFO - Iter [10150/160000] lr: 1.500e-04, eta: 7:20:20, time: 0.169, data_time: 0.007, memory: 19921, decode.loss_ce: 0.2121, decode.acc_seg: 91.4099, loss: 0.2121 +2023-03-04 01:41:59,518 - mmseg - INFO - Iter [10200/160000] lr: 1.500e-04, eta: 7:20:05, time: 0.169, data_time: 0.007, memory: 19921, decode.loss_ce: 0.2145, decode.acc_seg: 91.2098, loss: 0.2145 +2023-03-04 01:42:08,136 - mmseg - INFO - Iter [10250/160000] lr: 1.500e-04, eta: 7:19:54, time: 0.172, data_time: 0.007, memory: 19921, decode.loss_ce: 0.2127, decode.acc_seg: 91.4940, loss: 0.2127 +2023-03-04 01:42:16,668 - mmseg - INFO - Iter [10300/160000] lr: 1.500e-04, eta: 7:19:41, time: 0.171, data_time: 0.008, memory: 19921, decode.loss_ce: 0.2005, decode.acc_seg: 91.7883, loss: 0.2005 +2023-03-04 01:42:25,350 - mmseg - INFO - Iter [10350/160000] lr: 1.500e-04, eta: 7:19:30, time: 0.174, data_time: 0.007, memory: 19921, decode.loss_ce: 0.2147, decode.acc_seg: 91.1762, loss: 0.2147 +2023-03-04 01:42:33,997 - mmseg - INFO - Iter [10400/160000] lr: 1.500e-04, eta: 7:19:19, time: 0.173, data_time: 0.007, memory: 19921, decode.loss_ce: 0.2134, decode.acc_seg: 91.1671, loss: 0.2134 +2023-03-04 01:42:42,693 - mmseg - INFO - Iter [10450/160000] lr: 1.500e-04, eta: 7:19:08, time: 0.174, data_time: 0.007, memory: 19921, decode.loss_ce: 0.2139, decode.acc_seg: 91.2254, loss: 0.2139 +2023-03-04 01:42:51,327 - mmseg - INFO - Iter [10500/160000] lr: 1.500e-04, eta: 7:18:57, time: 0.173, data_time: 0.008, memory: 19921, decode.loss_ce: 0.2065, decode.acc_seg: 91.4449, loss: 0.2065 +2023-03-04 01:42:59,940 - mmseg - INFO - Iter [10550/160000] lr: 1.500e-04, eta: 7:18:46, time: 0.172, data_time: 0.007, memory: 19921, decode.loss_ce: 0.2171, decode.acc_seg: 91.1220, loss: 0.2171 +2023-03-04 01:43:08,288 - mmseg - INFO - Iter [10600/160000] lr: 1.500e-04, eta: 7:18:30, time: 0.167, data_time: 0.007, memory: 19921, decode.loss_ce: 0.2103, decode.acc_seg: 91.4138, loss: 0.2103 +2023-03-04 01:43:17,093 - mmseg - INFO - Iter [10650/160000] lr: 1.500e-04, eta: 7:18:21, time: 0.176, data_time: 0.007, memory: 19921, decode.loss_ce: 0.2202, decode.acc_seg: 91.0380, loss: 0.2202 +2023-03-04 01:43:26,219 - mmseg - INFO - Iter [10700/160000] lr: 1.500e-04, eta: 7:18:17, time: 0.182, data_time: 0.007, memory: 19921, decode.loss_ce: 0.2217, decode.acc_seg: 91.0271, loss: 0.2217 +2023-03-04 01:43:37,392 - mmseg - INFO - Iter [10750/160000] lr: 1.500e-04, eta: 7:18:41, time: 0.224, data_time: 0.057, memory: 19921, decode.loss_ce: 0.2142, decode.acc_seg: 91.2501, loss: 0.2142 +2023-03-04 01:43:46,316 - mmseg - INFO - Iter [10800/160000] lr: 1.500e-04, eta: 7:18:34, time: 0.178, data_time: 0.007, memory: 19921, decode.loss_ce: 0.2192, decode.acc_seg: 91.1647, loss: 0.2192 +2023-03-04 01:43:54,914 - mmseg - INFO - Iter [10850/160000] lr: 1.500e-04, eta: 7:18:22, time: 0.172, data_time: 0.007, memory: 19921, decode.loss_ce: 0.2175, decode.acc_seg: 91.1129, loss: 0.2175 +2023-03-04 01:44:03,428 - mmseg - INFO - Iter [10900/160000] lr: 1.500e-04, eta: 7:18:09, time: 0.171, data_time: 0.008, memory: 19921, decode.loss_ce: 0.2036, decode.acc_seg: 91.5499, loss: 0.2036 +2023-03-04 01:44:11,946 - mmseg - INFO - Iter [10950/160000] lr: 1.500e-04, eta: 7:17:56, time: 0.170, data_time: 0.007, memory: 19921, decode.loss_ce: 0.2097, decode.acc_seg: 91.4764, loss: 0.2097 +2023-03-04 01:44:20,268 - mmseg - INFO - Exp name: ablation_segformer_mit_b2_segformer_head_unet_fc_small_multi_step_ade_pretrained_freeze_embed_160k_ade20k151_finetune_ema_winit.py +2023-03-04 01:44:20,268 - mmseg - INFO - Iter [11000/160000] lr: 1.500e-04, eta: 7:17:41, time: 0.166, data_time: 0.007, memory: 19921, decode.loss_ce: 0.2088, decode.acc_seg: 91.4944, loss: 0.2088 +2023-03-04 01:44:28,580 - mmseg - INFO - Iter [11050/160000] lr: 1.500e-04, eta: 7:17:25, time: 0.166, data_time: 0.007, memory: 19921, decode.loss_ce: 0.2159, decode.acc_seg: 91.1567, loss: 0.2159 +2023-03-04 01:44:36,946 - mmseg - INFO - Iter [11100/160000] lr: 1.500e-04, eta: 7:17:10, time: 0.167, data_time: 0.008, memory: 19921, decode.loss_ce: 0.2152, decode.acc_seg: 91.2797, loss: 0.2152 +2023-03-04 01:44:45,429 - mmseg - INFO - Iter [11150/160000] lr: 1.500e-04, eta: 7:16:57, time: 0.169, data_time: 0.007, memory: 19921, decode.loss_ce: 0.2154, decode.acc_seg: 91.3623, loss: 0.2154 +2023-03-04 01:44:53,773 - mmseg - INFO - Iter [11200/160000] lr: 1.500e-04, eta: 7:16:42, time: 0.167, data_time: 0.007, memory: 19921, decode.loss_ce: 0.2224, decode.acc_seg: 90.9454, loss: 0.2224 +2023-03-04 01:45:02,283 - mmseg - INFO - Iter [11250/160000] lr: 1.500e-04, eta: 7:16:29, time: 0.170, data_time: 0.007, memory: 19921, decode.loss_ce: 0.2249, decode.acc_seg: 90.8736, loss: 0.2249 +2023-03-04 01:45:10,735 - mmseg - INFO - Iter [11300/160000] lr: 1.500e-04, eta: 7:16:16, time: 0.169, data_time: 0.007, memory: 19921, decode.loss_ce: 0.2179, decode.acc_seg: 90.8731, loss: 0.2179 +2023-03-04 01:45:19,606 - mmseg - INFO - Iter [11350/160000] lr: 1.500e-04, eta: 7:16:08, time: 0.177, data_time: 0.008, memory: 19921, decode.loss_ce: 0.2134, decode.acc_seg: 91.2331, loss: 0.2134 +2023-03-04 01:45:30,488 - mmseg - INFO - Iter [11400/160000] lr: 1.500e-04, eta: 7:16:26, time: 0.218, data_time: 0.054, memory: 19921, decode.loss_ce: 0.2105, decode.acc_seg: 91.4539, loss: 0.2105 +2023-03-04 01:45:39,008 - mmseg - INFO - Iter [11450/160000] lr: 1.500e-04, eta: 7:16:14, time: 0.170, data_time: 0.007, memory: 19921, decode.loss_ce: 0.2252, decode.acc_seg: 90.9016, loss: 0.2252 +2023-03-04 01:45:47,494 - mmseg - INFO - Iter [11500/160000] lr: 1.500e-04, eta: 7:16:01, time: 0.170, data_time: 0.007, memory: 19921, decode.loss_ce: 0.2058, decode.acc_seg: 91.4497, loss: 0.2058 +2023-03-04 01:45:56,042 - mmseg - INFO - Iter [11550/160000] lr: 1.500e-04, eta: 7:15:49, time: 0.171, data_time: 0.007, memory: 19921, decode.loss_ce: 0.2103, decode.acc_seg: 91.3845, loss: 0.2103 +2023-03-04 01:46:04,584 - mmseg - INFO - Iter [11600/160000] lr: 1.500e-04, eta: 7:15:36, time: 0.171, data_time: 0.007, memory: 19921, decode.loss_ce: 0.2193, decode.acc_seg: 91.0495, loss: 0.2193 +2023-03-04 01:46:13,052 - mmseg - INFO - Iter [11650/160000] lr: 1.500e-04, eta: 7:15:23, time: 0.170, data_time: 0.007, memory: 19921, decode.loss_ce: 0.2181, decode.acc_seg: 91.1513, loss: 0.2181 +2023-03-04 01:46:21,552 - mmseg - INFO - Iter [11700/160000] lr: 1.500e-04, eta: 7:15:11, time: 0.170, data_time: 0.008, memory: 19921, decode.loss_ce: 0.2114, decode.acc_seg: 91.3770, loss: 0.2114 +2023-03-04 01:46:29,973 - mmseg - INFO - Iter [11750/160000] lr: 1.500e-04, eta: 7:14:57, time: 0.168, data_time: 0.007, memory: 19921, decode.loss_ce: 0.2101, decode.acc_seg: 91.3107, loss: 0.2101 +2023-03-04 01:46:38,593 - mmseg - INFO - Iter [11800/160000] lr: 1.500e-04, eta: 7:14:46, time: 0.172, data_time: 0.007, memory: 19921, decode.loss_ce: 0.2134, decode.acc_seg: 91.3736, loss: 0.2134 +2023-03-04 01:46:46,914 - mmseg - INFO - Iter [11850/160000] lr: 1.500e-04, eta: 7:14:31, time: 0.166, data_time: 0.007, memory: 19921, decode.loss_ce: 0.2235, decode.acc_seg: 90.8650, loss: 0.2235 +2023-03-04 01:46:55,581 - mmseg - INFO - Iter [11900/160000] lr: 1.500e-04, eta: 7:14:21, time: 0.173, data_time: 0.007, memory: 19921, decode.loss_ce: 0.2104, decode.acc_seg: 91.3697, loss: 0.2104 +2023-03-04 01:47:04,320 - mmseg - INFO - Iter [11950/160000] lr: 1.500e-04, eta: 7:14:11, time: 0.175, data_time: 0.007, memory: 19921, decode.loss_ce: 0.2215, decode.acc_seg: 91.0270, loss: 0.2215 +2023-03-04 01:47:15,048 - mmseg - INFO - Exp name: ablation_segformer_mit_b2_segformer_head_unet_fc_small_multi_step_ade_pretrained_freeze_embed_160k_ade20k151_finetune_ema_winit.py +2023-03-04 01:47:15,048 - mmseg - INFO - Iter [12000/160000] lr: 1.500e-04, eta: 7:14:26, time: 0.215, data_time: 0.053, memory: 19921, decode.loss_ce: 0.2137, decode.acc_seg: 91.2676, loss: 0.2137 +2023-03-04 01:47:23,704 - mmseg - INFO - Iter [12050/160000] lr: 1.500e-04, eta: 7:14:15, time: 0.173, data_time: 0.007, memory: 19921, decode.loss_ce: 0.2133, decode.acc_seg: 91.2228, loss: 0.2133 +2023-03-04 01:47:32,165 - mmseg - INFO - Iter [12100/160000] lr: 1.500e-04, eta: 7:14:02, time: 0.169, data_time: 0.007, memory: 19921, decode.loss_ce: 0.2119, decode.acc_seg: 91.3490, loss: 0.2119 +2023-03-04 01:47:40,785 - mmseg - INFO - Iter [12150/160000] lr: 1.500e-04, eta: 7:13:51, time: 0.172, data_time: 0.007, memory: 19921, decode.loss_ce: 0.2111, decode.acc_seg: 91.3712, loss: 0.2111 +2023-03-04 01:47:49,163 - mmseg - INFO - Iter [12200/160000] lr: 1.500e-04, eta: 7:13:37, time: 0.168, data_time: 0.007, memory: 19921, decode.loss_ce: 0.2218, decode.acc_seg: 90.9506, loss: 0.2218 +2023-03-04 01:47:57,596 - mmseg - INFO - Iter [12250/160000] lr: 1.500e-04, eta: 7:13:24, time: 0.169, data_time: 0.007, memory: 19921, decode.loss_ce: 0.2051, decode.acc_seg: 91.7158, loss: 0.2051 +2023-03-04 01:48:06,631 - mmseg - INFO - Iter [12300/160000] lr: 1.500e-04, eta: 7:13:18, time: 0.180, data_time: 0.007, memory: 19921, decode.loss_ce: 0.2073, decode.acc_seg: 91.6748, loss: 0.2073 +2023-03-04 01:48:15,321 - mmseg - INFO - Iter [12350/160000] lr: 1.500e-04, eta: 7:13:08, time: 0.174, data_time: 0.008, memory: 19921, decode.loss_ce: 0.2218, decode.acc_seg: 90.9519, loss: 0.2218 +2023-03-04 01:48:23,664 - mmseg - INFO - Iter [12400/160000] lr: 1.500e-04, eta: 7:12:54, time: 0.167, data_time: 0.008, memory: 19921, decode.loss_ce: 0.2275, decode.acc_seg: 90.7094, loss: 0.2275 +2023-03-04 01:48:32,006 - mmseg - INFO - Iter [12450/160000] lr: 1.500e-04, eta: 7:12:40, time: 0.167, data_time: 0.008, memory: 19921, decode.loss_ce: 0.2055, decode.acc_seg: 91.4714, loss: 0.2055 +2023-03-04 01:48:40,825 - mmseg - INFO - Iter [12500/160000] lr: 1.500e-04, eta: 7:12:31, time: 0.176, data_time: 0.007, memory: 19921, decode.loss_ce: 0.2197, decode.acc_seg: 91.0035, loss: 0.2197 +2023-03-04 01:48:49,113 - mmseg - INFO - Iter [12550/160000] lr: 1.500e-04, eta: 7:12:16, time: 0.166, data_time: 0.007, memory: 19921, decode.loss_ce: 0.2079, decode.acc_seg: 91.5691, loss: 0.2079 +2023-03-04 01:48:57,387 - mmseg - INFO - Iter [12600/160000] lr: 1.500e-04, eta: 7:12:01, time: 0.165, data_time: 0.007, memory: 19921, decode.loss_ce: 0.2230, decode.acc_seg: 90.9167, loss: 0.2230 +2023-03-04 01:49:08,227 - mmseg - INFO - Iter [12650/160000] lr: 1.500e-04, eta: 7:12:16, time: 0.217, data_time: 0.058, memory: 19921, decode.loss_ce: 0.2024, decode.acc_seg: 91.6228, loss: 0.2024 +2023-03-04 01:49:16,828 - mmseg - INFO - Iter [12700/160000] lr: 1.500e-04, eta: 7:12:05, time: 0.172, data_time: 0.007, memory: 19921, decode.loss_ce: 0.2142, decode.acc_seg: 91.0897, loss: 0.2142 +2023-03-04 01:49:25,284 - mmseg - INFO - Iter [12750/160000] lr: 1.500e-04, eta: 7:11:52, time: 0.169, data_time: 0.007, memory: 19921, decode.loss_ce: 0.2110, decode.acc_seg: 91.4724, loss: 0.2110 +2023-03-04 01:49:33,774 - mmseg - INFO - Iter [12800/160000] lr: 1.500e-04, eta: 7:11:40, time: 0.170, data_time: 0.008, memory: 19921, decode.loss_ce: 0.2126, decode.acc_seg: 91.3299, loss: 0.2126 +2023-03-04 01:49:42,312 - mmseg - INFO - Iter [12850/160000] lr: 1.500e-04, eta: 7:11:28, time: 0.171, data_time: 0.007, memory: 19921, decode.loss_ce: 0.2198, decode.acc_seg: 91.1868, loss: 0.2198 +2023-03-04 01:49:50,525 - mmseg - INFO - Iter [12900/160000] lr: 1.500e-04, eta: 7:11:13, time: 0.165, data_time: 0.008, memory: 19921, decode.loss_ce: 0.2185, decode.acc_seg: 90.9445, loss: 0.2185 +2023-03-04 01:49:59,224 - mmseg - INFO - Iter [12950/160000] lr: 1.500e-04, eta: 7:11:03, time: 0.174, data_time: 0.008, memory: 19921, decode.loss_ce: 0.2110, decode.acc_seg: 91.3917, loss: 0.2110 +2023-03-04 01:50:07,941 - mmseg - INFO - Exp name: ablation_segformer_mit_b2_segformer_head_unet_fc_small_multi_step_ade_pretrained_freeze_embed_160k_ade20k151_finetune_ema_winit.py +2023-03-04 01:50:07,941 - mmseg - INFO - Iter [13000/160000] lr: 1.500e-04, eta: 7:10:53, time: 0.175, data_time: 0.008, memory: 19921, decode.loss_ce: 0.2176, decode.acc_seg: 91.0973, loss: 0.2176 +2023-03-04 01:50:16,718 - mmseg - INFO - Iter [13050/160000] lr: 1.500e-04, eta: 7:10:44, time: 0.176, data_time: 0.007, memory: 19921, decode.loss_ce: 0.2166, decode.acc_seg: 91.1853, loss: 0.2166 +2023-03-04 01:50:25,689 - mmseg - INFO - Iter [13100/160000] lr: 1.500e-04, eta: 7:10:38, time: 0.179, data_time: 0.007, memory: 19921, decode.loss_ce: 0.2179, decode.acc_seg: 91.1680, loss: 0.2179 +2023-03-04 01:50:34,028 - mmseg - INFO - Iter [13150/160000] lr: 1.500e-04, eta: 7:10:24, time: 0.167, data_time: 0.007, memory: 19921, decode.loss_ce: 0.2093, decode.acc_seg: 91.4137, loss: 0.2093 +2023-03-04 01:50:42,802 - mmseg - INFO - Iter [13200/160000] lr: 1.500e-04, eta: 7:10:15, time: 0.175, data_time: 0.007, memory: 19921, decode.loss_ce: 0.2165, decode.acc_seg: 91.2163, loss: 0.2165 +2023-03-04 01:50:51,675 - mmseg - INFO - Iter [13250/160000] lr: 1.500e-04, eta: 7:10:07, time: 0.178, data_time: 0.007, memory: 19921, decode.loss_ce: 0.2193, decode.acc_seg: 91.0408, loss: 0.2193 +2023-03-04 01:51:02,774 - mmseg - INFO - Iter [13300/160000] lr: 1.500e-04, eta: 7:10:23, time: 0.222, data_time: 0.055, memory: 19921, decode.loss_ce: 0.2060, decode.acc_seg: 91.4911, loss: 0.2060 +2023-03-04 01:51:11,480 - mmseg - INFO - Iter [13350/160000] lr: 1.500e-04, eta: 7:10:14, time: 0.174, data_time: 0.007, memory: 19921, decode.loss_ce: 0.2101, decode.acc_seg: 91.3706, loss: 0.2101 +2023-03-04 01:51:20,389 - mmseg - INFO - Iter [13400/160000] lr: 1.500e-04, eta: 7:10:06, time: 0.178, data_time: 0.007, memory: 19921, decode.loss_ce: 0.2200, decode.acc_seg: 91.0544, loss: 0.2200 +2023-03-04 01:51:29,079 - mmseg - INFO - Iter [13450/160000] lr: 1.500e-04, eta: 7:09:56, time: 0.174, data_time: 0.007, memory: 19921, decode.loss_ce: 0.2164, decode.acc_seg: 91.3022, loss: 0.2164 +2023-03-04 01:51:37,552 - mmseg - INFO - Iter [13500/160000] lr: 1.500e-04, eta: 7:09:44, time: 0.169, data_time: 0.007, memory: 19921, decode.loss_ce: 0.2170, decode.acc_seg: 91.0325, loss: 0.2170 +2023-03-04 01:51:45,874 - mmseg - INFO - Iter [13550/160000] lr: 1.500e-04, eta: 7:09:30, time: 0.166, data_time: 0.007, memory: 19921, decode.loss_ce: 0.2161, decode.acc_seg: 91.1573, loss: 0.2161 +2023-03-04 01:51:54,496 - mmseg - INFO - Iter [13600/160000] lr: 1.500e-04, eta: 7:09:19, time: 0.172, data_time: 0.007, memory: 19921, decode.loss_ce: 0.2054, decode.acc_seg: 91.5918, loss: 0.2054 +2023-03-04 01:52:03,287 - mmseg - INFO - Iter [13650/160000] lr: 1.500e-04, eta: 7:09:10, time: 0.176, data_time: 0.007, memory: 19921, decode.loss_ce: 0.2100, decode.acc_seg: 91.4453, loss: 0.2100 +2023-03-04 01:52:12,091 - mmseg - INFO - Iter [13700/160000] lr: 1.500e-04, eta: 7:09:01, time: 0.176, data_time: 0.008, memory: 19921, decode.loss_ce: 0.2102, decode.acc_seg: 91.3505, loss: 0.2102 +2023-03-04 01:52:20,585 - mmseg - INFO - Iter [13750/160000] lr: 1.500e-04, eta: 7:08:49, time: 0.170, data_time: 0.008, memory: 19921, decode.loss_ce: 0.2117, decode.acc_seg: 91.4442, loss: 0.2117 +2023-03-04 01:52:29,090 - mmseg - INFO - Iter [13800/160000] lr: 1.500e-04, eta: 7:08:37, time: 0.170, data_time: 0.008, memory: 19921, decode.loss_ce: 0.2135, decode.acc_seg: 91.2046, loss: 0.2135 +2023-03-04 01:52:37,892 - mmseg - INFO - Iter [13850/160000] lr: 1.500e-04, eta: 7:08:28, time: 0.176, data_time: 0.007, memory: 19921, decode.loss_ce: 0.2093, decode.acc_seg: 91.4788, loss: 0.2093 +2023-03-04 01:52:48,843 - mmseg - INFO - Iter [13900/160000] lr: 1.500e-04, eta: 7:08:43, time: 0.219, data_time: 0.056, memory: 19921, decode.loss_ce: 0.2194, decode.acc_seg: 91.0811, loss: 0.2194 +2023-03-04 01:52:57,313 - mmseg - INFO - Iter [13950/160000] lr: 1.500e-04, eta: 7:08:30, time: 0.169, data_time: 0.007, memory: 19921, decode.loss_ce: 0.2115, decode.acc_seg: 91.2431, loss: 0.2115 +2023-03-04 01:53:05,585 - mmseg - INFO - Exp name: ablation_segformer_mit_b2_segformer_head_unet_fc_small_multi_step_ade_pretrained_freeze_embed_160k_ade20k151_finetune_ema_winit.py +2023-03-04 01:53:05,585 - mmseg - INFO - Iter [14000/160000] lr: 1.500e-04, eta: 7:08:16, time: 0.165, data_time: 0.007, memory: 19921, decode.loss_ce: 0.2112, decode.acc_seg: 91.3324, loss: 0.2112 +2023-03-04 01:53:13,912 - mmseg - INFO - Iter [14050/160000] lr: 1.500e-04, eta: 7:08:02, time: 0.167, data_time: 0.007, memory: 19921, decode.loss_ce: 0.2048, decode.acc_seg: 91.7222, loss: 0.2048 +2023-03-04 01:53:22,274 - mmseg - INFO - Iter [14100/160000] lr: 1.500e-04, eta: 7:07:49, time: 0.167, data_time: 0.007, memory: 19921, decode.loss_ce: 0.2121, decode.acc_seg: 91.3078, loss: 0.2121 +2023-03-04 01:53:30,683 - mmseg - INFO - Iter [14150/160000] lr: 1.500e-04, eta: 7:07:36, time: 0.168, data_time: 0.007, memory: 19921, decode.loss_ce: 0.2046, decode.acc_seg: 91.5413, loss: 0.2046 +2023-03-04 01:53:39,134 - mmseg - INFO - Iter [14200/160000] lr: 1.500e-04, eta: 7:07:24, time: 0.169, data_time: 0.007, memory: 19921, decode.loss_ce: 0.2150, decode.acc_seg: 91.2296, loss: 0.2150 +2023-03-04 01:53:47,546 - mmseg - INFO - Iter [14250/160000] lr: 1.500e-04, eta: 7:07:11, time: 0.168, data_time: 0.007, memory: 19921, decode.loss_ce: 0.2032, decode.acc_seg: 91.5469, loss: 0.2032 +2023-03-04 01:53:55,930 - mmseg - INFO - Iter [14300/160000] lr: 1.500e-04, eta: 7:06:58, time: 0.167, data_time: 0.007, memory: 19921, decode.loss_ce: 0.2189, decode.acc_seg: 91.0998, loss: 0.2189 +2023-03-04 01:54:04,478 - mmseg - INFO - Iter [14350/160000] lr: 1.500e-04, eta: 7:06:47, time: 0.171, data_time: 0.007, memory: 19921, decode.loss_ce: 0.2172, decode.acc_seg: 91.1681, loss: 0.2172 +2023-03-04 01:54:12,751 - mmseg - INFO - Iter [14400/160000] lr: 1.500e-04, eta: 7:06:33, time: 0.165, data_time: 0.007, memory: 19921, decode.loss_ce: 0.2105, decode.acc_seg: 91.5510, loss: 0.2105 +2023-03-04 01:54:21,264 - mmseg - INFO - Iter [14450/160000] lr: 1.500e-04, eta: 7:06:21, time: 0.170, data_time: 0.007, memory: 19921, decode.loss_ce: 0.2144, decode.acc_seg: 91.3547, loss: 0.2144 +2023-03-04 01:54:29,475 - mmseg - INFO - Iter [14500/160000] lr: 1.500e-04, eta: 7:06:07, time: 0.164, data_time: 0.008, memory: 19921, decode.loss_ce: 0.2307, decode.acc_seg: 90.7660, loss: 0.2307 +2023-03-04 01:54:40,293 - mmseg - INFO - Iter [14550/160000] lr: 1.500e-04, eta: 7:06:18, time: 0.216, data_time: 0.056, memory: 19921, decode.loss_ce: 0.2136, decode.acc_seg: 91.1870, loss: 0.2136 +2023-03-04 01:54:49,023 - mmseg - INFO - Iter [14600/160000] lr: 1.500e-04, eta: 7:06:09, time: 0.175, data_time: 0.007, memory: 19921, decode.loss_ce: 0.2097, decode.acc_seg: 91.4248, loss: 0.2097 +2023-03-04 01:54:57,675 - mmseg - INFO - Iter [14650/160000] lr: 1.500e-04, eta: 7:05:59, time: 0.173, data_time: 0.007, memory: 19921, decode.loss_ce: 0.2028, decode.acc_seg: 91.6819, loss: 0.2028 +2023-03-04 01:55:06,117 - mmseg - INFO - Iter [14700/160000] lr: 1.500e-04, eta: 7:05:46, time: 0.169, data_time: 0.007, memory: 19921, decode.loss_ce: 0.2153, decode.acc_seg: 91.2880, loss: 0.2153 +2023-03-04 01:55:14,561 - mmseg - INFO - Iter [14750/160000] lr: 1.500e-04, eta: 7:05:34, time: 0.169, data_time: 0.007, memory: 19921, decode.loss_ce: 0.2112, decode.acc_seg: 91.2755, loss: 0.2112 +2023-03-04 01:55:23,050 - mmseg - INFO - Iter [14800/160000] lr: 1.500e-04, eta: 7:05:22, time: 0.169, data_time: 0.007, memory: 19921, decode.loss_ce: 0.2100, decode.acc_seg: 91.3709, loss: 0.2100 +2023-03-04 01:55:31,411 - mmseg - INFO - Iter [14850/160000] lr: 1.500e-04, eta: 7:05:09, time: 0.167, data_time: 0.008, memory: 19921, decode.loss_ce: 0.2123, decode.acc_seg: 91.3823, loss: 0.2123 +2023-03-04 01:55:39,931 - mmseg - INFO - Iter [14900/160000] lr: 1.500e-04, eta: 7:04:58, time: 0.170, data_time: 0.008, memory: 19921, decode.loss_ce: 0.2087, decode.acc_seg: 91.5027, loss: 0.2087 +2023-03-04 01:55:48,372 - mmseg - INFO - Iter [14950/160000] lr: 1.500e-04, eta: 7:04:46, time: 0.169, data_time: 0.008, memory: 19921, decode.loss_ce: 0.2082, decode.acc_seg: 91.4362, loss: 0.2082 +2023-03-04 01:55:57,054 - mmseg - INFO - Exp name: ablation_segformer_mit_b2_segformer_head_unet_fc_small_multi_step_ade_pretrained_freeze_embed_160k_ade20k151_finetune_ema_winit.py +2023-03-04 01:55:57,054 - mmseg - INFO - Iter [15000/160000] lr: 1.500e-04, eta: 7:04:36, time: 0.174, data_time: 0.007, memory: 19921, decode.loss_ce: 0.2174, decode.acc_seg: 91.1351, loss: 0.2174 +2023-03-04 01:56:05,531 - mmseg - INFO - Iter [15050/160000] lr: 1.500e-04, eta: 7:04:24, time: 0.170, data_time: 0.007, memory: 19921, decode.loss_ce: 0.2069, decode.acc_seg: 91.6845, loss: 0.2069 +2023-03-04 01:56:13,934 - mmseg - INFO - Iter [15100/160000] lr: 1.500e-04, eta: 7:04:12, time: 0.168, data_time: 0.007, memory: 19921, decode.loss_ce: 0.2224, decode.acc_seg: 90.9599, loss: 0.2224 +2023-03-04 01:56:25,107 - mmseg - INFO - Iter [15150/160000] lr: 1.500e-04, eta: 7:04:26, time: 0.223, data_time: 0.054, memory: 19921, decode.loss_ce: 0.2095, decode.acc_seg: 91.3966, loss: 0.2095 +2023-03-04 01:56:33,442 - mmseg - INFO - Iter [15200/160000] lr: 1.500e-04, eta: 7:04:13, time: 0.167, data_time: 0.007, memory: 19921, decode.loss_ce: 0.2162, decode.acc_seg: 91.2429, loss: 0.2162 +2023-03-04 01:56:41,744 - mmseg - INFO - Iter [15250/160000] lr: 1.500e-04, eta: 7:03:59, time: 0.166, data_time: 0.007, memory: 19921, decode.loss_ce: 0.2099, decode.acc_seg: 91.5683, loss: 0.2099 +2023-03-04 01:56:50,312 - mmseg - INFO - Iter [15300/160000] lr: 1.500e-04, eta: 7:03:48, time: 0.171, data_time: 0.007, memory: 19921, decode.loss_ce: 0.2117, decode.acc_seg: 91.4029, loss: 0.2117 +2023-03-04 01:56:59,457 - mmseg - INFO - Iter [15350/160000] lr: 1.500e-04, eta: 7:03:43, time: 0.183, data_time: 0.007, memory: 19921, decode.loss_ce: 0.2185, decode.acc_seg: 91.2903, loss: 0.2185 +2023-03-04 01:57:08,000 - mmseg - INFO - Iter [15400/160000] lr: 1.500e-04, eta: 7:03:32, time: 0.171, data_time: 0.008, memory: 19921, decode.loss_ce: 0.2143, decode.acc_seg: 91.2054, loss: 0.2143 +2023-03-04 01:57:16,848 - mmseg - INFO - Iter [15450/160000] lr: 1.500e-04, eta: 7:03:24, time: 0.177, data_time: 0.008, memory: 19921, decode.loss_ce: 0.2126, decode.acc_seg: 91.2991, loss: 0.2126 +2023-03-04 01:57:25,424 - mmseg - INFO - Iter [15500/160000] lr: 1.500e-04, eta: 7:03:13, time: 0.171, data_time: 0.007, memory: 19921, decode.loss_ce: 0.2124, decode.acc_seg: 91.2875, loss: 0.2124 +2023-03-04 01:57:33,975 - mmseg - INFO - Iter [15550/160000] lr: 1.500e-04, eta: 7:03:02, time: 0.171, data_time: 0.007, memory: 19921, decode.loss_ce: 0.2170, decode.acc_seg: 91.1901, loss: 0.2170 +2023-03-04 01:57:42,680 - mmseg - INFO - Iter [15600/160000] lr: 1.500e-04, eta: 7:02:52, time: 0.174, data_time: 0.007, memory: 19921, decode.loss_ce: 0.2248, decode.acc_seg: 90.8892, loss: 0.2248 +2023-03-04 01:57:51,228 - mmseg - INFO - Iter [15650/160000] lr: 1.500e-04, eta: 7:02:41, time: 0.171, data_time: 0.007, memory: 19921, decode.loss_ce: 0.2119, decode.acc_seg: 91.3378, loss: 0.2119 +2023-03-04 01:57:59,789 - mmseg - INFO - Iter [15700/160000] lr: 1.500e-04, eta: 7:02:31, time: 0.171, data_time: 0.008, memory: 19921, decode.loss_ce: 0.2095, decode.acc_seg: 91.4180, loss: 0.2095 +2023-03-04 01:58:08,058 - mmseg - INFO - Iter [15750/160000] lr: 1.500e-04, eta: 7:02:17, time: 0.165, data_time: 0.007, memory: 19921, decode.loss_ce: 0.2058, decode.acc_seg: 91.6434, loss: 0.2058 +2023-03-04 01:58:19,179 - mmseg - INFO - Iter [15800/160000] lr: 1.500e-04, eta: 7:02:30, time: 0.222, data_time: 0.056, memory: 19921, decode.loss_ce: 0.2147, decode.acc_seg: 91.2337, loss: 0.2147 +2023-03-04 01:58:27,854 - mmseg - INFO - Iter [15850/160000] lr: 1.500e-04, eta: 7:02:20, time: 0.174, data_time: 0.007, memory: 19921, decode.loss_ce: 0.2104, decode.acc_seg: 91.4835, loss: 0.2104 +2023-03-04 01:58:36,987 - mmseg - INFO - Iter [15900/160000] lr: 1.500e-04, eta: 7:02:14, time: 0.182, data_time: 0.007, memory: 19921, decode.loss_ce: 0.2196, decode.acc_seg: 91.1062, loss: 0.2196 +2023-03-04 01:58:45,355 - mmseg - INFO - Iter [15950/160000] lr: 1.500e-04, eta: 7:02:02, time: 0.168, data_time: 0.007, memory: 19921, decode.loss_ce: 0.2140, decode.acc_seg: 91.1086, loss: 0.2140 +2023-03-04 01:58:53,827 - mmseg - INFO - Swap parameters (after train) after iter [16000] +2023-03-04 01:58:53,840 - mmseg - INFO - Saving checkpoint at 16000 iterations +2023-03-04 01:58:55,063 - mmseg - INFO - Exp name: ablation_segformer_mit_b2_segformer_head_unet_fc_small_multi_step_ade_pretrained_freeze_embed_160k_ade20k151_finetune_ema_winit.py +2023-03-04 01:58:55,064 - mmseg - INFO - Iter [16000/160000] lr: 1.500e-04, eta: 7:02:01, time: 0.194, data_time: 0.007, memory: 19921, decode.loss_ce: 0.2182, decode.acc_seg: 91.0893, loss: 0.2182 +2023-03-04 02:12:43,131 - mmseg - INFO - per class results: +2023-03-04 02:12:43,139 - mmseg - INFO - ++---------------------+-------------------------------------------------------------------+ +| Class | IoU 0,10,20,30,40,50,60,70,80,90,99 | ++---------------------+-------------------------------------------------------------------+ +| background | nan,nan,nan,nan,nan,nan,nan,nan,nan,nan,nan | +| wall | 76.99,77.0,77.01,77.01,77.02,77.03,77.03,77.04,77.04,77.05,77.06 | +| building | 81.54,81.55,81.55,81.55,81.55,81.55,81.55,81.55,81.55,81.55,81.55 | +| sky | 94.37,94.37,94.37,94.37,94.37,94.37,94.37,94.37,94.37,94.37,94.37 | +| floor | 81.4,81.39,81.39,81.39,81.39,81.38,81.39,81.39,81.38,81.38,81.38 | +| tree | 73.93,73.91,73.91,73.9,73.9,73.89,73.88,73.87,73.86,73.85,73.85 | +| ceiling | 84.94,84.95,84.95,84.96,84.97,84.98,84.98,84.98,85.0,84.99,85.0 | +| road | 81.58,81.59,81.58,81.58,81.57,81.57,81.56,81.55,81.54,81.55,81.54 | +| bed | 87.34,87.33,87.34,87.34,87.34,87.33,87.33,87.33,87.32,87.32,87.32 | +| windowpane | 60.13,60.13,60.12,60.11,60.11,60.11,60.1,60.1,60.09,60.08,60.07 | +| grass | 67.08,67.07,67.06,67.06,67.05,67.05,67.03,67.03,67.02,67.02,67.01 | +| cabinet | 60.08,60.06,60.05,60.05,60.07,60.06,60.05,60.05,60.05,60.04,60.04 | +| sidewalk | 63.09,63.11,63.11,63.12,63.11,63.12,63.12,63.14,63.12,63.14,63.14 | +| person | 79.08,79.08,79.08,79.09,79.1,79.09,79.08,79.1,79.09,79.09,79.1 | +| earth | 35.44,35.43,35.44,35.43,35.44,35.41,35.42,35.42,35.42,35.41,35.4 | +| door | 44.72,44.72,44.73,44.7,44.72,44.7,44.69,44.7,44.68,44.67,44.69 | +| table | 59.51,59.51,59.53,59.52,59.52,59.5,59.51,59.49,59.53,59.52,59.51 | +| mountain | 56.3,56.31,56.31,56.33,56.34,56.34,56.35,56.36,56.36,56.37,56.38 | +| plant | 50.19,50.17,50.16,50.15,50.14,50.12,50.11,50.08,50.05,50.04,50.06 | +| curtain | 74.09,74.08,74.08,74.1,74.08,74.09,74.09,74.08,74.08,74.1,74.08 | +| chair | 55.6,55.58,55.58,55.59,55.58,55.58,55.57,55.57,55.57,55.57,55.56 | +| car | 81.04,81.05,81.08,81.1,81.09,81.1,81.09,81.11,81.12,81.12,81.12 | +| water | 57.35,57.37,57.35,57.36,57.37,57.35,57.35,57.37,57.34,57.35,57.35 | +| painting | 70.03,70.04,70.04,70.05,70.06,70.06,70.1,70.09,70.13,70.12,70.11 | +| sofa | 63.75,63.74,63.74,63.72,63.72,63.73,63.74,63.71,63.71,63.7,63.69 | +| shelf | 44.31,44.3,44.28,44.29,44.26,44.26,44.27,44.27,44.27,44.26,44.25 | +| house | 41.86,41.85,41.82,41.74,41.72,41.7,41.66,41.66,41.57,41.6,41.56 | +| sea | 60.07,60.08,60.05,60.06,60.06,60.04,60.04,60.06,60.01,60.01,60.02 | +| mirror | 64.4,64.4,64.45,64.44,64.45,64.46,64.45,64.47,64.46,64.49,64.47 | +| rug | 64.73,64.72,64.7,64.71,64.69,64.69,64.7,64.75,64.69,64.7,64.71 | +| field | 30.88,30.89,30.89,30.9,30.9,30.91,30.91,30.92,30.92,30.93,30.94 | +| armchair | 36.53,36.51,36.5,36.47,36.46,36.42,36.41,36.39,36.34,36.35,36.32 | +| seat | 65.85,65.84,65.86,65.8,65.81,65.77,65.76,65.77,65.74,65.77,65.71 | +| fence | 40.55,40.55,40.63,40.63,40.64,40.66,40.67,40.69,40.7,40.76,40.78 | +| desk | 46.56,46.51,46.57,46.55,46.57,46.55,46.53,46.5,46.58,46.55,46.54 | +| rock | 36.35,36.36,36.36,36.37,36.4,36.39,36.39,36.41,36.41,36.43,36.44 | +| wardrobe | 57.02,56.98,57.01,56.99,57.02,57.01,57.03,57.04,57.03,57.02,57.02 | +| lamp | 60.62,60.69,60.63,60.73,60.7,60.7,60.72,60.77,60.79,60.76,60.81 | +| bathtub | 75.35,75.32,75.32,75.36,75.38,75.4,75.38,75.45,75.42,75.43,75.45 | +| railing | 33.71,33.7,33.69,33.67,33.67,33.66,33.63,33.66,33.64,33.64,33.6 | +| cushion | 55.65,55.58,55.57,55.58,55.56,55.55,55.54,55.54,55.52,55.53,55.54 | +| base | 21.04,21.02,21.0,20.96,20.96,20.93,20.9,20.91,20.86,20.81,20.82 | +| box | 22.69,22.71,22.74,22.7,22.74,22.71,22.74,22.76,22.75,22.78,22.75 | +| column | 45.01,45.01,45.06,45.05,45.05,45.05,45.05,45.07,45.05,45.08,45.06 | +| signboard | 37.75,37.75,37.73,37.78,37.77,37.78,37.77,37.77,37.8,37.8,37.79 | +| chest of drawers | 35.64,35.67,35.67,35.72,35.71,35.71,35.72,35.74,35.76,35.75,35.76 | +| counter | 31.46,31.47,31.51,31.49,31.52,31.58,31.58,31.56,31.62,31.64,31.62 | +| sand | 42.26,42.2,42.23,42.2,42.24,42.25,42.22,42.24,42.24,42.28,42.21 | +| sink | 66.77,66.79,66.78,66.79,66.8,66.8,66.79,66.81,66.8,66.81,66.81 | +| skyscraper | 52.49,52.59,52.66,52.53,52.61,52.74,52.84,52.85,52.81,52.94,53.0 | +| fireplace | 74.56,74.54,74.5,74.48,74.48,74.43,74.41,74.36,74.33,74.29,74.29 | +| refrigerator | 72.89,72.82,72.82,72.86,72.84,72.86,72.85,72.84,72.87,72.81,72.79 | +| grandstand | 50.81,50.9,50.84,50.79,50.84,50.7,50.7,50.61,50.54,50.53,50.41 | +| path | 22.09,22.11,22.08,22.08,22.08,22.09,22.07,22.03,22.03,22.01,22.02 | +| stairs | 32.31,32.32,32.31,32.23,32.28,32.19,32.16,32.12,32.08,32.08,32.01 | +| runway | 66.96,66.92,66.9,66.89,66.82,66.84,66.81,66.76,66.68,66.65,66.63 | +| case | 46.4,46.39,46.4,46.37,46.45,46.4,46.42,46.42,46.42,46.44,46.41 | +| pool table | 91.56,91.56,91.55,91.56,91.56,91.54,91.54,91.54,91.52,91.52,91.52 | +| pillow | 59.54,59.46,59.42,59.41,59.39,59.33,59.3,59.4,59.26,59.28,59.24 | +| screen door | 66.32,66.34,66.39,66.42,66.46,66.45,66.44,66.51,66.49,66.5,66.51 | +| stairway | 23.78,23.77,23.74,23.77,23.76,23.73,23.77,23.78,23.77,23.75,23.75 | +| river | 11.59,11.59,11.59,11.58,11.59,11.58,11.58,11.58,11.58,11.59,11.58 | +| bridge | 33.52,33.46,33.51,33.38,33.32,33.36,33.33,33.26,33.26,33.27,33.25 | +| bookcase | 45.14,45.14,45.03,45.1,45.08,45.06,45.02,45.04,45.08,44.99,44.97 | +| blind | 38.95,39.02,39.04,39.02,39.11,39.12,39.2,39.27,39.27,39.32,39.37 | +| coffee table | 52.55,52.6,52.52,52.53,52.51,52.55,52.52,52.53,52.52,52.57,52.6 | +| toilet | 83.38,83.4,83.44,83.43,83.47,83.47,83.5,83.52,83.51,83.55,83.52 | +| flower | 38.2,38.2,38.22,38.21,38.2,38.21,38.2,38.22,38.22,38.23,38.22 | +| book | 44.44,44.46,44.42,44.42,44.45,44.48,44.43,44.46,44.48,44.46,44.48 | +| hill | 14.4,14.43,14.39,14.37,14.36,14.34,14.32,14.29,14.3,14.27,14.22 | +| bench | 42.74,42.72,42.69,42.67,42.64,42.62,42.66,42.67,42.61,42.62,42.59 | +| countertop | 53.59,53.56,53.51,53.52,53.49,53.49,53.44,53.42,53.46,53.38,53.37 | +| stove | 70.36,70.4,70.39,70.36,70.37,70.35,70.39,70.38,70.36,70.39,70.41 | +| palm | 49.1,49.08,49.12,49.13,49.12,49.11,49.14,49.2,49.18,49.22,49.22 | +| kitchen island | 40.33,40.33,40.31,40.32,40.29,40.31,40.31,40.32,40.3,40.26,40.32 | +| computer | 60.0,59.99,60.02,60.04,60.04,60.05,60.05,60.12,60.12,60.16,60.17 | +| swivel chair | 44.16,44.12,44.13,44.09,44.1,44.05,44.04,44.02,43.97,43.98,43.96 | +| boat | 71.01,71.03,71.05,71.1,71.06,71.1,71.1,71.09,71.14,71.08,71.09 | +| bar | 23.41,23.41,23.41,23.44,23.46,23.42,23.45,23.48,23.51,23.53,23.54 | +| arcade machine | 69.3,69.4,69.41,69.47,69.58,69.57,69.55,69.61,69.7,69.81,69.84 | +| hovel | 30.39,30.38,30.35,30.45,30.4,30.47,30.5,30.44,30.53,30.56,30.61 | +| bus | 78.31,78.25,78.25,78.26,78.22,78.21,78.18,78.16,78.16,78.15,78.08 | +| towel | 61.8,61.76,61.76,61.78,61.76,61.73,61.69,61.68,61.68,61.64,61.64 | +| light | 53.2,53.19,53.24,53.19,53.18,53.18,53.21,53.11,53.18,53.14,53.12 | +| truck | 16.85,16.88,16.88,16.84,16.8,16.69,16.65,16.7,16.7,16.64,16.61 | +| tower | 7.95,7.96,7.98,7.96,7.99,8.03,8.02,8.04,8.0,8.05,8.06 | +| chandelier | 63.91,63.97,63.84,63.99,63.88,63.85,63.84,63.92,63.87,63.85,63.89 | +| awning | 23.52,23.53,23.54,23.54,23.53,23.55,23.52,23.59,23.6,23.61,23.64 | +| streetlight | 25.5,25.57,25.62,25.63,25.67,25.65,25.63,25.7,25.67,25.8,25.79 | +| booth | 45.15,45.25,45.36,45.5,45.43,45.61,45.57,45.63,45.73,45.77,45.83 | +| television receiver | 63.2,63.15,63.12,63.11,63.09,63.07,63.03,63.02,62.97,62.93,62.92 | +| airplane | 58.31,58.4,58.32,58.38,58.39,58.37,58.42,58.44,58.45,58.44,58.47 | +| dirt track | 18.69,18.21,18.38,18.22,17.6,18.27,17.6,17.67,18.14,18.57,15.12 | +| apparel | 33.51,33.55,33.57,33.51,33.57,33.58,33.62,33.65,33.71,33.65,33.72 | +| pole | 18.19,18.19,18.04,18.09,18.09,18.04,17.91,17.94,17.87,17.89,17.8 | +| land | 3.3,3.26,3.32,3.29,3.28,3.3,3.25,3.22,3.28,3.26,3.24 | +| bannister | 10.61,10.58,10.64,10.55,10.63,10.68,10.72,10.73,10.7,10.78,10.8 | +| escalator | 23.83,23.87,23.89,23.88,23.87,23.95,23.91,23.91,23.96,23.95,23.97 | +| ottoman | 41.79,41.82,41.74,41.74,41.74,41.67,41.64,41.68,41.58,41.58,41.65 | +| bottle | 34.19,34.19,34.23,34.21,34.19,34.18,34.18,34.13,34.18,34.11,34.11 | +| buffet | 36.27,36.24,36.27,36.38,36.35,36.34,36.45,36.49,36.55,36.64,36.61 | +| poster | 23.15,23.15,23.15,23.18,23.15,23.16,23.17,23.18,23.15,23.15,23.15 | +| stage | 14.51,14.44,14.47,14.41,14.39,14.35,14.33,14.34,14.28,14.28,14.25 | +| van | 38.5,38.53,38.52,38.55,38.54,38.54,38.53,38.59,38.57,38.57,38.59 | +| ship | 79.27,79.26,79.26,79.28,79.25,79.32,79.23,79.2,79.27,79.11,79.07 | +| fountain | 21.96,21.99,22.13,22.07,22.13,22.07,22.19,22.19,22.08,22.3,22.3 | +| conveyer belt | 83.12,83.1,83.11,83.13,83.08,83.05,82.98,82.98,82.97,82.91,82.81 | +| canopy | 23.83,23.83,23.85,23.88,23.81,23.78,23.76,23.71,23.72,23.71,23.77 | +| washer | 76.34,76.46,76.46,76.52,76.51,76.54,76.65,76.61,76.72,76.83,76.89 | +| plaything | 21.44,21.43,21.35,21.37,21.32,21.29,21.26,21.26,21.2,21.17,21.18 | +| swimming pool | 73.39,73.28,73.14,73.18,73.12,73.11,73.03,73.11,73.0,72.95,72.98 | +| stool | 43.87,43.9,43.77,43.78,43.72,43.72,43.75,43.62,43.66,43.64,43.57 | +| barrel | 35.78,35.58,36.24,35.99,36.08,36.15,36.36,36.31,36.7,36.7,36.79 | +| basket | 23.86,23.85,23.88,23.89,23.88,23.93,23.92,23.92,23.96,23.96,23.97 | +| waterfall | 49.01,49.03,49.01,48.99,48.99,48.98,48.99,48.98,48.98,48.98,48.97 | +| tent | 94.65,94.64,94.67,94.66,94.69,94.69,94.7,94.72,94.74,94.74,94.75 | +| bag | 15.74,15.75,15.81,15.86,15.91,15.93,15.98,16.0,16.11,16.16,16.26 | +| minibike | 62.41,62.4,62.44,62.49,62.44,62.51,62.41,62.36,62.39,62.4,62.35 | +| cradle | 83.21,83.18,83.24,83.19,83.25,83.26,83.23,83.19,83.27,83.26,83.18 | +| oven | 47.84,47.78,47.84,47.8,47.74,47.78,47.74,47.67,47.68,47.63,47.61 | +| ball | 43.29,43.34,43.39,43.39,43.43,43.49,43.46,43.42,43.49,43.52,43.49 | +| food | 54.62,54.62,54.67,54.62,54.69,54.64,54.68,54.68,54.67,54.75,54.65 | +| step | 6.08,5.92,5.85,5.78,5.76,5.69,5.61,5.52,5.54,5.45,5.42 | +| tank | 52.43,52.44,52.44,52.43,52.47,52.48,52.43,52.43,52.43,52.43,52.44 | +| trade name | 27.9,27.92,27.89,27.92,27.82,27.83,27.78,27.82,27.77,27.8,27.81 | +| microwave | 74.39,74.34,74.36,74.33,74.22,74.25,74.27,74.14,74.17,74.09,74.05 | +| pot | 30.04,30.13,30.18,30.24,30.25,30.31,30.31,30.36,30.43,30.45,30.49 | +| animal | 55.33,55.35,55.35,55.36,55.37,55.35,55.35,55.34,55.39,55.37,55.34 | +| bicycle | 53.24,53.22,53.26,53.24,53.27,53.21,53.16,53.22,53.22,53.27,53.22 | +| lake | 56.72,56.72,56.72,56.71,56.73,56.71,56.73,56.72,56.71,56.71,56.71 | +| dishwasher | 63.34,63.18,63.23,63.19,63.22,63.27,63.14,63.21,63.17,63.07,63.12 | +| screen | 66.84,66.82,66.81,66.85,66.79,66.78,66.83,66.83,66.81,66.74,66.76 | +| blanket | 15.93,15.91,15.94,15.95,15.98,15.97,15.9,15.86,15.94,15.87,15.78 | +| sculpture | 56.72,56.58,56.44,56.4,56.29,56.35,56.27,56.21,56.1,56.01,56.06 | +| hood | 57.36,57.36,57.27,57.33,57.32,57.31,57.27,57.34,57.2,57.22,57.19 | +| sconce | 42.47,42.51,42.58,42.55,42.59,42.51,42.5,42.5,42.54,42.57,42.57 | +| vase | 35.95,36.1,36.04,36.08,36.14,36.12,36.2,36.2,36.2,36.19,36.23 | +| traffic light | 32.37,32.34,32.36,32.35,32.33,32.32,32.26,32.32,32.28,32.29,32.26 | +| tray | 5.35,5.35,5.41,5.38,5.4,5.36,5.38,5.4,5.44,5.47,5.4 | +| ashcan | 41.69,41.66,41.61,41.61,41.61,41.6,41.57,41.6,41.44,41.48,41.51 | +| fan | 56.94,56.95,56.93,56.91,56.87,56.86,56.91,56.84,56.87,56.81,56.75 | +| pier | 50.9,50.75,50.97,51.06,51.17,51.05,51.17,51.15,51.29,51.34,51.29 | +| crt screen | 8.25,8.25,8.28,8.39,8.35,8.41,8.45,8.45,8.47,8.55,8.53 | +| plate | 51.48,51.49,51.48,51.53,51.49,51.49,51.48,51.43,51.46,51.45,51.43 | +| monitor | 15.97,16.13,15.96,16.07,16.1,16.06,16.12,16.26,16.17,16.24,16.29 | +| bulletin board | 38.92,38.9,38.95,39.01,38.97,39.12,39.04,39.03,39.03,39.09,39.24 | +| shower | 1.36,1.38,1.37,1.38,1.39,1.39,1.39,1.39,1.41,1.4,1.4 | +| radiator | 61.99,62.05,62.34,62.38,62.59,62.7,62.71,62.8,62.87,62.92,62.92 | +| glass | 12.6,12.63,12.63,12.64,12.65,12.6,12.61,12.6,12.65,12.66,12.64 | +| clock | 35.14,35.1,35.02,35.04,35.04,34.94,34.94,34.93,34.91,34.79,34.76 | +| flag | 35.01,34.96,34.9,34.98,34.92,34.92,34.86,34.89,34.84,34.86,34.84 | ++---------------------+-------------------------------------------------------------------+ +2023-03-04 02:12:43,139 - mmseg - INFO - Summary: +2023-03-04 02:12:43,140 - mmseg - INFO - ++------------------------------------------------------------------+ +| mIoU 0,10,20,30,40,50,60,70,80,90,99 | ++------------------------------------------------------------------+ +| 48.02,48.02,48.03,48.03,48.02,48.02,48.02,48.02,48.02,48.03,48.0 | ++------------------------------------------------------------------+ +2023-03-04 02:12:44,158 - mmseg - INFO - Now best checkpoint is saved as best_mIoU_iter_16000.pth. +2023-03-04 02:12:44,158 - mmseg - INFO - Best mIoU is 0.4800 at 16000 iter. +2023-03-04 02:12:44,158 - mmseg - INFO - Exp name: ablation_segformer_mit_b2_segformer_head_unet_fc_small_multi_step_ade_pretrained_freeze_embed_160k_ade20k151_finetune_ema_winit.py +2023-03-04 02:12:44,158 - mmseg - INFO - Iter(val) [250] mIoU: [0.4802, 0.4802, 0.4803, 0.4803, 0.4802, 0.4802, 0.4802, 0.4802, 0.4802, 0.4803, 0.48], copy_paste: 48.02,48.02,48.03,48.03,48.02,48.02,48.02,48.02,48.02,48.03,48.0 +2023-03-04 02:12:44,168 - mmseg - INFO - Swap parameters (before train) before iter [16001] +2023-03-04 02:12:52,849 - mmseg - INFO - Iter [16050/160000] lr: 1.500e-04, eta: 9:05:47, time: 16.756, data_time: 16.590, memory: 52541, decode.loss_ce: 0.2084, decode.acc_seg: 91.3872, loss: 0.2084 +2023-03-04 02:13:01,555 - mmseg - INFO - Iter [16100/160000] lr: 1.500e-04, eta: 9:05:12, time: 0.174, data_time: 0.007, memory: 52541, decode.loss_ce: 0.2088, decode.acc_seg: 91.5221, loss: 0.2088 +2023-03-04 02:13:10,183 - mmseg - INFO - Iter [16150/160000] lr: 1.500e-04, eta: 9:04:36, time: 0.173, data_time: 0.007, memory: 52541, decode.loss_ce: 0.2096, decode.acc_seg: 91.4974, loss: 0.2096 +2023-03-04 02:13:18,570 - mmseg - INFO - Iter [16200/160000] lr: 1.500e-04, eta: 9:03:59, time: 0.168, data_time: 0.007, memory: 52541, decode.loss_ce: 0.2069, decode.acc_seg: 91.6172, loss: 0.2069 +2023-03-04 02:13:27,242 - mmseg - INFO - Iter [16250/160000] lr: 1.500e-04, eta: 9:03:24, time: 0.173, data_time: 0.007, memory: 52541, decode.loss_ce: 0.2132, decode.acc_seg: 91.3931, loss: 0.2132 +2023-03-04 02:13:35,619 - mmseg - INFO - Iter [16300/160000] lr: 1.500e-04, eta: 9:02:46, time: 0.167, data_time: 0.007, memory: 52541, decode.loss_ce: 0.2066, decode.acc_seg: 91.4643, loss: 0.2066 +2023-03-04 02:13:44,625 - mmseg - INFO - Iter [16350/160000] lr: 1.500e-04, eta: 9:02:14, time: 0.180, data_time: 0.007, memory: 52541, decode.loss_ce: 0.2112, decode.acc_seg: 91.3228, loss: 0.2112 +2023-03-04 02:13:53,184 - mmseg - INFO - Iter [16400/160000] lr: 1.500e-04, eta: 9:01:39, time: 0.171, data_time: 0.007, memory: 52541, decode.loss_ce: 0.2096, decode.acc_seg: 91.3985, loss: 0.2096 +2023-03-04 02:14:04,327 - mmseg - INFO - Iter [16450/160000] lr: 1.500e-04, eta: 9:01:26, time: 0.223, data_time: 0.055, memory: 52541, decode.loss_ce: 0.2130, decode.acc_seg: 91.3400, loss: 0.2130 +2023-03-04 02:14:12,808 - mmseg - INFO - Iter [16500/160000] lr: 1.500e-04, eta: 9:00:50, time: 0.170, data_time: 0.007, memory: 52541, decode.loss_ce: 0.2147, decode.acc_seg: 91.2608, loss: 0.2147 +2023-03-04 02:14:21,169 - mmseg - INFO - Iter [16550/160000] lr: 1.500e-04, eta: 9:00:13, time: 0.167, data_time: 0.007, memory: 52541, decode.loss_ce: 0.2098, decode.acc_seg: 91.4176, loss: 0.2098 +2023-03-04 02:14:29,612 - mmseg - INFO - Iter [16600/160000] lr: 1.500e-04, eta: 8:59:37, time: 0.169, data_time: 0.007, memory: 52541, decode.loss_ce: 0.2187, decode.acc_seg: 91.2419, loss: 0.2187 +2023-03-04 02:14:38,469 - mmseg - INFO - Iter [16650/160000] lr: 1.500e-04, eta: 8:59:05, time: 0.177, data_time: 0.007, memory: 52541, decode.loss_ce: 0.2124, decode.acc_seg: 91.4523, loss: 0.2124 +2023-03-04 02:14:47,017 - mmseg - INFO - Iter [16700/160000] lr: 1.500e-04, eta: 8:58:30, time: 0.171, data_time: 0.007, memory: 52541, decode.loss_ce: 0.2238, decode.acc_seg: 91.0450, loss: 0.2238 +2023-03-04 02:14:55,654 - mmseg - INFO - Iter [16750/160000] lr: 1.500e-04, eta: 8:57:56, time: 0.172, data_time: 0.007, memory: 52541, decode.loss_ce: 0.2182, decode.acc_seg: 91.0819, loss: 0.2182 +2023-03-04 02:15:04,259 - mmseg - INFO - Iter [16800/160000] lr: 1.500e-04, eta: 8:57:22, time: 0.172, data_time: 0.007, memory: 52541, decode.loss_ce: 0.2242, decode.acc_seg: 90.9809, loss: 0.2242 +2023-03-04 02:15:12,648 - mmseg - INFO - Iter [16850/160000] lr: 1.500e-04, eta: 8:56:47, time: 0.168, data_time: 0.007, memory: 52541, decode.loss_ce: 0.2108, decode.acc_seg: 91.4278, loss: 0.2108 +2023-03-04 02:15:21,405 - mmseg - INFO - Iter [16900/160000] lr: 1.500e-04, eta: 8:56:14, time: 0.175, data_time: 0.007, memory: 52541, decode.loss_ce: 0.2089, decode.acc_seg: 91.5097, loss: 0.2089 +2023-03-04 02:15:30,151 - mmseg - INFO - Iter [16950/160000] lr: 1.500e-04, eta: 8:55:42, time: 0.175, data_time: 0.007, memory: 52541, decode.loss_ce: 0.2071, decode.acc_seg: 91.5133, loss: 0.2071 +2023-03-04 02:15:38,983 - mmseg - INFO - Exp name: ablation_segformer_mit_b2_segformer_head_unet_fc_small_multi_step_ade_pretrained_freeze_embed_160k_ade20k151_finetune_ema_winit.py +2023-03-04 02:15:38,983 - mmseg - INFO - Iter [17000/160000] lr: 1.500e-04, eta: 8:55:11, time: 0.177, data_time: 0.008, memory: 52541, decode.loss_ce: 0.2130, decode.acc_seg: 91.3635, loss: 0.2130 +2023-03-04 02:15:50,034 - mmseg - INFO - Iter [17050/160000] lr: 1.500e-04, eta: 8:54:58, time: 0.221, data_time: 0.056, memory: 52541, decode.loss_ce: 0.2093, decode.acc_seg: 91.4832, loss: 0.2093 +2023-03-04 02:15:58,375 - mmseg - INFO - Iter [17100/160000] lr: 1.500e-04, eta: 8:54:23, time: 0.167, data_time: 0.007, memory: 52541, decode.loss_ce: 0.2095, decode.acc_seg: 91.3885, loss: 0.2095 +2023-03-04 02:16:07,026 - mmseg - INFO - Iter [17150/160000] lr: 1.500e-04, eta: 8:53:50, time: 0.173, data_time: 0.007, memory: 52541, decode.loss_ce: 0.2152, decode.acc_seg: 91.2459, loss: 0.2152 +2023-03-04 02:16:15,761 - mmseg - INFO - Iter [17200/160000] lr: 1.500e-04, eta: 8:53:18, time: 0.175, data_time: 0.008, memory: 52541, decode.loss_ce: 0.2041, decode.acc_seg: 91.5429, loss: 0.2041 +2023-03-04 02:16:24,566 - mmseg - INFO - Iter [17250/160000] lr: 1.500e-04, eta: 8:52:47, time: 0.176, data_time: 0.007, memory: 52541, decode.loss_ce: 0.2264, decode.acc_seg: 91.0138, loss: 0.2264 +2023-03-04 02:16:33,140 - mmseg - INFO - Iter [17300/160000] lr: 1.500e-04, eta: 8:52:14, time: 0.172, data_time: 0.007, memory: 52541, decode.loss_ce: 0.2139, decode.acc_seg: 91.3433, loss: 0.2139 +2023-03-04 02:16:41,686 - mmseg - INFO - Iter [17350/160000] lr: 1.500e-04, eta: 8:51:41, time: 0.171, data_time: 0.007, memory: 52541, decode.loss_ce: 0.2103, decode.acc_seg: 91.3693, loss: 0.2103 +2023-03-04 02:16:50,192 - mmseg - INFO - Iter [17400/160000] lr: 1.500e-04, eta: 8:51:08, time: 0.170, data_time: 0.007, memory: 52541, decode.loss_ce: 0.2083, decode.acc_seg: 91.5826, loss: 0.2083 +2023-03-04 02:16:58,534 - mmseg - INFO - Iter [17450/160000] lr: 1.500e-04, eta: 8:50:34, time: 0.167, data_time: 0.007, memory: 52541, decode.loss_ce: 0.2092, decode.acc_seg: 91.5326, loss: 0.2092 +2023-03-04 02:17:07,041 - mmseg - INFO - Iter [17500/160000] lr: 1.500e-04, eta: 8:50:01, time: 0.170, data_time: 0.007, memory: 52541, decode.loss_ce: 0.2070, decode.acc_seg: 91.3631, loss: 0.2070 +2023-03-04 02:17:15,475 - mmseg - INFO - Iter [17550/160000] lr: 1.500e-04, eta: 8:49:28, time: 0.169, data_time: 0.007, memory: 52541, decode.loss_ce: 0.2180, decode.acc_seg: 91.2585, loss: 0.2180 +2023-03-04 02:17:24,058 - mmseg - INFO - Iter [17600/160000] lr: 1.500e-04, eta: 8:48:56, time: 0.172, data_time: 0.007, memory: 52541, decode.loss_ce: 0.2106, decode.acc_seg: 91.4147, loss: 0.2106 +2023-03-04 02:17:32,399 - mmseg - INFO - Iter [17650/160000] lr: 1.500e-04, eta: 8:48:22, time: 0.167, data_time: 0.007, memory: 52541, decode.loss_ce: 0.2157, decode.acc_seg: 91.2781, loss: 0.2157 +2023-03-04 02:17:43,235 - mmseg - INFO - Iter [17700/160000] lr: 1.500e-04, eta: 8:48:09, time: 0.216, data_time: 0.055, memory: 52541, decode.loss_ce: 0.2196, decode.acc_seg: 91.0854, loss: 0.2196 +2023-03-04 02:17:52,201 - mmseg - INFO - Iter [17750/160000] lr: 1.500e-04, eta: 8:47:40, time: 0.180, data_time: 0.007, memory: 52541, decode.loss_ce: 0.2077, decode.acc_seg: 91.5681, loss: 0.2077 +2023-03-04 02:18:00,742 - mmseg - INFO - Iter [17800/160000] lr: 1.500e-04, eta: 8:47:08, time: 0.171, data_time: 0.007, memory: 52541, decode.loss_ce: 0.2160, decode.acc_seg: 91.1250, loss: 0.2160 +2023-03-04 02:18:09,332 - mmseg - INFO - Iter [17850/160000] lr: 1.500e-04, eta: 8:46:37, time: 0.172, data_time: 0.008, memory: 52541, decode.loss_ce: 0.2135, decode.acc_seg: 91.3069, loss: 0.2135 +2023-03-04 02:18:17,861 - mmseg - INFO - Iter [17900/160000] lr: 1.500e-04, eta: 8:46:05, time: 0.170, data_time: 0.007, memory: 52541, decode.loss_ce: 0.2155, decode.acc_seg: 91.2561, loss: 0.2155 +2023-03-04 02:18:26,317 - mmseg - INFO - Iter [17950/160000] lr: 1.500e-04, eta: 8:45:33, time: 0.169, data_time: 0.007, memory: 52541, decode.loss_ce: 0.2191, decode.acc_seg: 91.0849, loss: 0.2191 +2023-03-04 02:18:34,539 - mmseg - INFO - Exp name: ablation_segformer_mit_b2_segformer_head_unet_fc_small_multi_step_ade_pretrained_freeze_embed_160k_ade20k151_finetune_ema_winit.py +2023-03-04 02:18:34,539 - mmseg - INFO - Iter [18000/160000] lr: 1.500e-04, eta: 8:45:00, time: 0.164, data_time: 0.007, memory: 52541, decode.loss_ce: 0.2129, decode.acc_seg: 91.3479, loss: 0.2129 +2023-03-04 02:18:42,778 - mmseg - INFO - Iter [18050/160000] lr: 1.500e-04, eta: 8:44:26, time: 0.165, data_time: 0.007, memory: 52541, decode.loss_ce: 0.2086, decode.acc_seg: 91.6946, loss: 0.2086 +2023-03-04 02:18:51,392 - mmseg - INFO - Iter [18100/160000] lr: 1.500e-04, eta: 8:43:56, time: 0.172, data_time: 0.007, memory: 52541, decode.loss_ce: 0.2134, decode.acc_seg: 91.4151, loss: 0.2134 +2023-03-04 02:18:59,924 - mmseg - INFO - Iter [18150/160000] lr: 1.500e-04, eta: 8:43:25, time: 0.171, data_time: 0.007, memory: 52541, decode.loss_ce: 0.2091, decode.acc_seg: 91.4567, loss: 0.2091 +2023-03-04 02:19:08,363 - mmseg - INFO - Iter [18200/160000] lr: 1.500e-04, eta: 8:42:53, time: 0.169, data_time: 0.007, memory: 52541, decode.loss_ce: 0.2067, decode.acc_seg: 91.5144, loss: 0.2067 +2023-03-04 02:19:16,728 - mmseg - INFO - Iter [18250/160000] lr: 1.500e-04, eta: 8:42:21, time: 0.167, data_time: 0.007, memory: 52541, decode.loss_ce: 0.2098, decode.acc_seg: 91.4775, loss: 0.2098 +2023-03-04 02:19:28,183 - mmseg - INFO - Iter [18300/160000] lr: 1.500e-04, eta: 8:42:13, time: 0.229, data_time: 0.053, memory: 52541, decode.loss_ce: 0.2167, decode.acc_seg: 91.3112, loss: 0.2167 +2023-03-04 02:19:36,595 - mmseg - INFO - Iter [18350/160000] lr: 1.500e-04, eta: 8:41:42, time: 0.168, data_time: 0.007, memory: 52541, decode.loss_ce: 0.2187, decode.acc_seg: 91.1200, loss: 0.2187 +2023-03-04 02:19:45,094 - mmseg - INFO - Iter [18400/160000] lr: 1.500e-04, eta: 8:41:11, time: 0.170, data_time: 0.007, memory: 52541, decode.loss_ce: 0.2186, decode.acc_seg: 91.0778, loss: 0.2186 +2023-03-04 02:19:53,561 - mmseg - INFO - Iter [18450/160000] lr: 1.500e-04, eta: 8:40:40, time: 0.169, data_time: 0.007, memory: 52541, decode.loss_ce: 0.2238, decode.acc_seg: 90.9878, loss: 0.2238 +2023-03-04 02:20:02,380 - mmseg - INFO - Iter [18500/160000] lr: 1.500e-04, eta: 8:40:12, time: 0.176, data_time: 0.007, memory: 52541, decode.loss_ce: 0.2172, decode.acc_seg: 91.2304, loss: 0.2172 +2023-03-04 02:20:11,025 - mmseg - INFO - Iter [18550/160000] lr: 1.500e-04, eta: 8:39:43, time: 0.173, data_time: 0.007, memory: 52541, decode.loss_ce: 0.2082, decode.acc_seg: 91.4697, loss: 0.2082 +2023-03-04 02:20:19,668 - mmseg - INFO - Iter [18600/160000] lr: 1.500e-04, eta: 8:39:14, time: 0.173, data_time: 0.007, memory: 52541, decode.loss_ce: 0.2058, decode.acc_seg: 91.6826, loss: 0.2058 +2023-03-04 02:20:28,525 - mmseg - INFO - Iter [18650/160000] lr: 1.500e-04, eta: 8:38:46, time: 0.177, data_time: 0.007, memory: 52541, decode.loss_ce: 0.2132, decode.acc_seg: 91.2564, loss: 0.2132 +2023-03-04 02:20:36,970 - mmseg - INFO - Iter [18700/160000] lr: 1.500e-04, eta: 8:38:16, time: 0.169, data_time: 0.007, memory: 52541, decode.loss_ce: 0.2187, decode.acc_seg: 91.1943, loss: 0.2187 +2023-03-04 02:20:45,184 - mmseg - INFO - Iter [18750/160000] lr: 1.500e-04, eta: 8:37:44, time: 0.164, data_time: 0.007, memory: 52541, decode.loss_ce: 0.2126, decode.acc_seg: 91.2556, loss: 0.2126 +2023-03-04 02:20:53,553 - mmseg - INFO - Iter [18800/160000] lr: 1.500e-04, eta: 8:37:13, time: 0.167, data_time: 0.007, memory: 52541, decode.loss_ce: 0.2125, decode.acc_seg: 91.3415, loss: 0.2125 +2023-03-04 02:21:01,936 - mmseg - INFO - Iter [18850/160000] lr: 1.500e-04, eta: 8:36:43, time: 0.168, data_time: 0.007, memory: 52541, decode.loss_ce: 0.2116, decode.acc_seg: 91.4936, loss: 0.2116 +2023-03-04 02:21:10,394 - mmseg - INFO - Iter [18900/160000] lr: 1.500e-04, eta: 8:36:13, time: 0.169, data_time: 0.008, memory: 52541, decode.loss_ce: 0.2115, decode.acc_seg: 91.3230, loss: 0.2115 +2023-03-04 02:21:21,525 - mmseg - INFO - Iter [18950/160000] lr: 1.500e-04, eta: 8:36:03, time: 0.223, data_time: 0.056, memory: 52541, decode.loss_ce: 0.2090, decode.acc_seg: 91.3743, loss: 0.2090 +2023-03-04 02:21:30,077 - mmseg - INFO - Exp name: ablation_segformer_mit_b2_segformer_head_unet_fc_small_multi_step_ade_pretrained_freeze_embed_160k_ade20k151_finetune_ema_winit.py +2023-03-04 02:21:30,077 - mmseg - INFO - Iter [19000/160000] lr: 1.500e-04, eta: 8:35:34, time: 0.171, data_time: 0.007, memory: 52541, decode.loss_ce: 0.2182, decode.acc_seg: 91.1273, loss: 0.2182 +2023-03-04 02:21:38,615 - mmseg - INFO - Iter [19050/160000] lr: 1.500e-04, eta: 8:35:05, time: 0.171, data_time: 0.007, memory: 52541, decode.loss_ce: 0.2089, decode.acc_seg: 91.4569, loss: 0.2089 +2023-03-04 02:21:47,367 - mmseg - INFO - Iter [19100/160000] lr: 1.500e-04, eta: 8:34:38, time: 0.175, data_time: 0.007, memory: 52541, decode.loss_ce: 0.2160, decode.acc_seg: 91.2744, loss: 0.2160 +2023-03-04 02:21:56,174 - mmseg - INFO - Iter [19150/160000] lr: 1.500e-04, eta: 8:34:11, time: 0.176, data_time: 0.008, memory: 52541, decode.loss_ce: 0.2093, decode.acc_seg: 91.4451, loss: 0.2093 +2023-03-04 02:22:04,986 - mmseg - INFO - Iter [19200/160000] lr: 1.500e-04, eta: 8:33:44, time: 0.177, data_time: 0.007, memory: 52541, decode.loss_ce: 0.2131, decode.acc_seg: 91.0593, loss: 0.2131 +2023-03-04 02:22:13,500 - mmseg - INFO - Iter [19250/160000] lr: 1.500e-04, eta: 8:33:16, time: 0.170, data_time: 0.007, memory: 52541, decode.loss_ce: 0.2067, decode.acc_seg: 91.6487, loss: 0.2067 +2023-03-04 02:22:22,068 - mmseg - INFO - Iter [19300/160000] lr: 1.500e-04, eta: 8:32:47, time: 0.172, data_time: 0.008, memory: 52541, decode.loss_ce: 0.2109, decode.acc_seg: 91.4538, loss: 0.2109 +2023-03-04 02:22:30,832 - mmseg - INFO - Iter [19350/160000] lr: 1.500e-04, eta: 8:32:21, time: 0.175, data_time: 0.007, memory: 52541, decode.loss_ce: 0.2123, decode.acc_seg: 91.4352, loss: 0.2123 +2023-03-04 02:22:39,325 - mmseg - INFO - Iter [19400/160000] lr: 1.500e-04, eta: 8:31:52, time: 0.170, data_time: 0.007, memory: 52541, decode.loss_ce: 0.2058, decode.acc_seg: 91.5891, loss: 0.2058 +2023-03-04 02:22:48,134 - mmseg - INFO - Iter [19450/160000] lr: 1.500e-04, eta: 8:31:26, time: 0.176, data_time: 0.007, memory: 52541, decode.loss_ce: 0.2158, decode.acc_seg: 91.2399, loss: 0.2158 +2023-03-04 02:22:56,541 - mmseg - INFO - Iter [19500/160000] lr: 1.500e-04, eta: 8:30:57, time: 0.168, data_time: 0.007, memory: 52541, decode.loss_ce: 0.2149, decode.acc_seg: 91.1812, loss: 0.2149 +2023-03-04 02:23:05,174 - mmseg - INFO - Iter [19550/160000] lr: 1.500e-04, eta: 8:30:30, time: 0.173, data_time: 0.007, memory: 52541, decode.loss_ce: 0.2132, decode.acc_seg: 91.2713, loss: 0.2132 +2023-03-04 02:23:16,196 - mmseg - INFO - Iter [19600/160000] lr: 1.500e-04, eta: 8:30:20, time: 0.220, data_time: 0.053, memory: 52541, decode.loss_ce: 0.2129, decode.acc_seg: 91.4359, loss: 0.2129 +2023-03-04 02:23:24,607 - mmseg - INFO - Iter [19650/160000] lr: 1.500e-04, eta: 8:29:51, time: 0.168, data_time: 0.007, memory: 52541, decode.loss_ce: 0.2012, decode.acc_seg: 91.6804, loss: 0.2012 +2023-03-04 02:23:33,008 - mmseg - INFO - Iter [19700/160000] lr: 1.500e-04, eta: 8:29:22, time: 0.168, data_time: 0.007, memory: 52541, decode.loss_ce: 0.2129, decode.acc_seg: 91.3263, loss: 0.2129 +2023-03-04 02:23:41,305 - mmseg - INFO - Iter [19750/160000] lr: 1.500e-04, eta: 8:28:53, time: 0.166, data_time: 0.007, memory: 52541, decode.loss_ce: 0.2089, decode.acc_seg: 91.7369, loss: 0.2089 +2023-03-04 02:23:49,664 - mmseg - INFO - Iter [19800/160000] lr: 1.500e-04, eta: 8:28:24, time: 0.167, data_time: 0.007, memory: 52541, decode.loss_ce: 0.2207, decode.acc_seg: 91.2149, loss: 0.2207 +2023-03-04 02:23:58,325 - mmseg - INFO - Iter [19850/160000] lr: 1.500e-04, eta: 8:27:58, time: 0.173, data_time: 0.008, memory: 52541, decode.loss_ce: 0.2083, decode.acc_seg: 91.4617, loss: 0.2083 +2023-03-04 02:24:07,282 - mmseg - INFO - Iter [19900/160000] lr: 1.500e-04, eta: 8:27:33, time: 0.179, data_time: 0.007, memory: 52541, decode.loss_ce: 0.2121, decode.acc_seg: 91.3187, loss: 0.2121 +2023-03-04 02:24:15,578 - mmseg - INFO - Iter [19950/160000] lr: 1.500e-04, eta: 8:27:04, time: 0.166, data_time: 0.007, memory: 52541, decode.loss_ce: 0.2204, decode.acc_seg: 91.1369, loss: 0.2204 +2023-03-04 02:24:24,064 - mmseg - INFO - Exp name: ablation_segformer_mit_b2_segformer_head_unet_fc_small_multi_step_ade_pretrained_freeze_embed_160k_ade20k151_finetune_ema_winit.py +2023-03-04 02:24:24,064 - mmseg - INFO - Iter [20000/160000] lr: 1.500e-04, eta: 8:26:37, time: 0.170, data_time: 0.008, memory: 52541, decode.loss_ce: 0.2144, decode.acc_seg: 91.3540, loss: 0.2144 +2023-03-04 02:24:32,718 - mmseg - INFO - Iter [20050/160000] lr: 7.500e-05, eta: 8:26:11, time: 0.173, data_time: 0.007, memory: 52541, decode.loss_ce: 0.2148, decode.acc_seg: 91.2618, loss: 0.2148 +2023-03-04 02:24:41,103 - mmseg - INFO - Iter [20100/160000] lr: 7.500e-05, eta: 8:25:43, time: 0.168, data_time: 0.007, memory: 52541, decode.loss_ce: 0.2037, decode.acc_seg: 91.6325, loss: 0.2037 +2023-03-04 02:24:49,683 - mmseg - INFO - Iter [20150/160000] lr: 7.500e-05, eta: 8:25:16, time: 0.172, data_time: 0.007, memory: 52541, decode.loss_ce: 0.2006, decode.acc_seg: 91.7613, loss: 0.2006 +2023-03-04 02:25:00,846 - mmseg - INFO - Iter [20200/160000] lr: 7.500e-05, eta: 8:25:07, time: 0.223, data_time: 0.057, memory: 52541, decode.loss_ce: 0.2070, decode.acc_seg: 91.5188, loss: 0.2070 +2023-03-04 02:25:09,720 - mmseg - INFO - Iter [20250/160000] lr: 7.500e-05, eta: 8:24:43, time: 0.178, data_time: 0.007, memory: 52541, decode.loss_ce: 0.2026, decode.acc_seg: 91.7125, loss: 0.2026 +2023-03-04 02:25:18,136 - mmseg - INFO - Iter [20300/160000] lr: 7.500e-05, eta: 8:24:16, time: 0.168, data_time: 0.007, memory: 52541, decode.loss_ce: 0.2063, decode.acc_seg: 91.5030, loss: 0.2063 +2023-03-04 02:25:26,577 - mmseg - INFO - Iter [20350/160000] lr: 7.500e-05, eta: 8:23:48, time: 0.169, data_time: 0.007, memory: 52541, decode.loss_ce: 0.2031, decode.acc_seg: 91.5990, loss: 0.2031 +2023-03-04 02:25:35,339 - mmseg - INFO - Iter [20400/160000] lr: 7.500e-05, eta: 8:23:23, time: 0.176, data_time: 0.007, memory: 52541, decode.loss_ce: 0.2012, decode.acc_seg: 91.7325, loss: 0.2012 +2023-03-04 02:25:43,905 - mmseg - INFO - Iter [20450/160000] lr: 7.500e-05, eta: 8:22:57, time: 0.171, data_time: 0.007, memory: 52541, decode.loss_ce: 0.2060, decode.acc_seg: 91.3843, loss: 0.2060 +2023-03-04 02:25:52,400 - mmseg - INFO - Iter [20500/160000] lr: 7.500e-05, eta: 8:22:31, time: 0.170, data_time: 0.007, memory: 52541, decode.loss_ce: 0.1991, decode.acc_seg: 91.8100, loss: 0.1991 +2023-03-04 02:26:00,916 - mmseg - INFO - Iter [20550/160000] lr: 7.500e-05, eta: 8:22:04, time: 0.170, data_time: 0.008, memory: 52541, decode.loss_ce: 0.2152, decode.acc_seg: 91.4991, loss: 0.2152 +2023-03-04 02:26:09,161 - mmseg - INFO - Iter [20600/160000] lr: 7.500e-05, eta: 8:21:36, time: 0.165, data_time: 0.007, memory: 52541, decode.loss_ce: 0.2012, decode.acc_seg: 91.8200, loss: 0.2012 +2023-03-04 02:26:17,792 - mmseg - INFO - Iter [20650/160000] lr: 7.500e-05, eta: 8:21:11, time: 0.172, data_time: 0.008, memory: 52541, decode.loss_ce: 0.2016, decode.acc_seg: 91.5820, loss: 0.2016 +2023-03-04 02:26:26,409 - mmseg - INFO - Iter [20700/160000] lr: 7.500e-05, eta: 8:20:45, time: 0.173, data_time: 0.008, memory: 52541, decode.loss_ce: 0.2040, decode.acc_seg: 91.7540, loss: 0.2040 +2023-03-04 02:26:35,261 - mmseg - INFO - Iter [20750/160000] lr: 7.500e-05, eta: 8:20:22, time: 0.177, data_time: 0.008, memory: 52541, decode.loss_ce: 0.2105, decode.acc_seg: 91.4349, loss: 0.2105 +2023-03-04 02:26:43,831 - mmseg - INFO - Iter [20800/160000] lr: 7.500e-05, eta: 8:19:56, time: 0.171, data_time: 0.007, memory: 52541, decode.loss_ce: 0.2021, decode.acc_seg: 91.8443, loss: 0.2021 +2023-03-04 02:26:54,814 - mmseg - INFO - Iter [20850/160000] lr: 7.500e-05, eta: 8:19:47, time: 0.220, data_time: 0.054, memory: 52541, decode.loss_ce: 0.2042, decode.acc_seg: 91.6386, loss: 0.2042 +2023-03-04 02:27:03,624 - mmseg - INFO - Iter [20900/160000] lr: 7.500e-05, eta: 8:19:23, time: 0.176, data_time: 0.007, memory: 52541, decode.loss_ce: 0.1975, decode.acc_seg: 91.7986, loss: 0.1975 +2023-03-04 02:27:12,417 - mmseg - INFO - Iter [20950/160000] lr: 7.500e-05, eta: 8:18:59, time: 0.176, data_time: 0.007, memory: 52541, decode.loss_ce: 0.2092, decode.acc_seg: 91.2433, loss: 0.2092 +2023-03-04 02:27:21,329 - mmseg - INFO - Exp name: ablation_segformer_mit_b2_segformer_head_unet_fc_small_multi_step_ade_pretrained_freeze_embed_160k_ade20k151_finetune_ema_winit.py +2023-03-04 02:27:21,329 - mmseg - INFO - Iter [21000/160000] lr: 7.500e-05, eta: 8:18:36, time: 0.178, data_time: 0.007, memory: 52541, decode.loss_ce: 0.1928, decode.acc_seg: 92.0990, loss: 0.1928 +2023-03-04 02:27:29,665 - mmseg - INFO - Iter [21050/160000] lr: 7.500e-05, eta: 8:18:09, time: 0.167, data_time: 0.007, memory: 52541, decode.loss_ce: 0.2020, decode.acc_seg: 91.7187, loss: 0.2020 +2023-03-04 02:27:38,188 - mmseg - INFO - Iter [21100/160000] lr: 7.500e-05, eta: 8:17:44, time: 0.170, data_time: 0.007, memory: 52541, decode.loss_ce: 0.1984, decode.acc_seg: 91.7861, loss: 0.1984 +2023-03-04 02:27:46,522 - mmseg - INFO - Iter [21150/160000] lr: 7.500e-05, eta: 8:17:17, time: 0.167, data_time: 0.007, memory: 52541, decode.loss_ce: 0.2012, decode.acc_seg: 91.8685, loss: 0.2012 +2023-03-04 02:27:55,336 - mmseg - INFO - Iter [21200/160000] lr: 7.500e-05, eta: 8:16:54, time: 0.176, data_time: 0.007, memory: 52541, decode.loss_ce: 0.2032, decode.acc_seg: 91.4617, loss: 0.2032 +2023-03-04 02:28:03,778 - mmseg - INFO - Iter [21250/160000] lr: 7.500e-05, eta: 8:16:28, time: 0.169, data_time: 0.008, memory: 52541, decode.loss_ce: 0.2005, decode.acc_seg: 91.8407, loss: 0.2005 +2023-03-04 02:28:12,363 - mmseg - INFO - Iter [21300/160000] lr: 7.500e-05, eta: 8:16:03, time: 0.171, data_time: 0.007, memory: 52541, decode.loss_ce: 0.2072, decode.acc_seg: 91.5602, loss: 0.2072 +2023-03-04 02:28:20,822 - mmseg - INFO - Iter [21350/160000] lr: 7.500e-05, eta: 8:15:38, time: 0.169, data_time: 0.008, memory: 52541, decode.loss_ce: 0.2049, decode.acc_seg: 91.6845, loss: 0.2049 +2023-03-04 02:28:29,517 - mmseg - INFO - Iter [21400/160000] lr: 7.500e-05, eta: 8:15:14, time: 0.174, data_time: 0.007, memory: 52541, decode.loss_ce: 0.2075, decode.acc_seg: 91.5306, loss: 0.2075 +2023-03-04 02:28:38,005 - mmseg - INFO - Iter [21450/160000] lr: 7.500e-05, eta: 8:14:49, time: 0.170, data_time: 0.007, memory: 52541, decode.loss_ce: 0.1965, decode.acc_seg: 91.7611, loss: 0.1965 +2023-03-04 02:28:49,060 - mmseg - INFO - Iter [21500/160000] lr: 7.500e-05, eta: 8:14:40, time: 0.221, data_time: 0.058, memory: 52541, decode.loss_ce: 0.2026, decode.acc_seg: 91.7779, loss: 0.2026 +2023-03-04 02:28:57,688 - mmseg - INFO - Iter [21550/160000] lr: 7.500e-05, eta: 8:14:16, time: 0.173, data_time: 0.007, memory: 52541, decode.loss_ce: 0.2034, decode.acc_seg: 91.5716, loss: 0.2034 +2023-03-04 02:29:06,076 - mmseg - INFO - Iter [21600/160000] lr: 7.500e-05, eta: 8:13:50, time: 0.168, data_time: 0.007, memory: 52541, decode.loss_ce: 0.2059, decode.acc_seg: 91.6454, loss: 0.2059 +2023-03-04 02:29:14,410 - mmseg - INFO - Iter [21650/160000] lr: 7.500e-05, eta: 8:13:24, time: 0.166, data_time: 0.007, memory: 52541, decode.loss_ce: 0.1951, decode.acc_seg: 91.8427, loss: 0.1951 +2023-03-04 02:29:22,760 - mmseg - INFO - Iter [21700/160000] lr: 7.500e-05, eta: 8:12:59, time: 0.167, data_time: 0.007, memory: 52541, decode.loss_ce: 0.2080, decode.acc_seg: 91.3094, loss: 0.2080 +2023-03-04 02:29:31,450 - mmseg - INFO - Iter [21750/160000] lr: 7.500e-05, eta: 8:12:35, time: 0.174, data_time: 0.007, memory: 52541, decode.loss_ce: 0.2103, decode.acc_seg: 91.3936, loss: 0.2103 +2023-03-04 02:29:40,087 - mmseg - INFO - Iter [21800/160000] lr: 7.500e-05, eta: 8:12:12, time: 0.173, data_time: 0.007, memory: 52541, decode.loss_ce: 0.1985, decode.acc_seg: 91.7800, loss: 0.1985 +2023-03-04 02:29:48,368 - mmseg - INFO - Iter [21850/160000] lr: 7.500e-05, eta: 8:11:46, time: 0.166, data_time: 0.007, memory: 52541, decode.loss_ce: 0.1948, decode.acc_seg: 91.8811, loss: 0.1948 +2023-03-04 02:29:56,580 - mmseg - INFO - Iter [21900/160000] lr: 7.500e-05, eta: 8:11:20, time: 0.164, data_time: 0.007, memory: 52541, decode.loss_ce: 0.2084, decode.acc_seg: 91.6585, loss: 0.2084 +2023-03-04 02:30:05,440 - mmseg - INFO - Iter [21950/160000] lr: 7.500e-05, eta: 8:10:58, time: 0.177, data_time: 0.007, memory: 52541, decode.loss_ce: 0.2061, decode.acc_seg: 91.6241, loss: 0.2061 +2023-03-04 02:30:14,321 - mmseg - INFO - Exp name: ablation_segformer_mit_b2_segformer_head_unet_fc_small_multi_step_ade_pretrained_freeze_embed_160k_ade20k151_finetune_ema_winit.py +2023-03-04 02:30:14,322 - mmseg - INFO - Iter [22000/160000] lr: 7.500e-05, eta: 8:10:36, time: 0.178, data_time: 0.008, memory: 52541, decode.loss_ce: 0.2062, decode.acc_seg: 91.4502, loss: 0.2062 +2023-03-04 02:30:22,871 - mmseg - INFO - Iter [22050/160000] lr: 7.500e-05, eta: 8:10:12, time: 0.171, data_time: 0.007, memory: 52541, decode.loss_ce: 0.2011, decode.acc_seg: 91.7092, loss: 0.2011 +2023-03-04 02:30:33,894 - mmseg - INFO - Iter [22100/160000] lr: 7.500e-05, eta: 8:10:03, time: 0.220, data_time: 0.055, memory: 52541, decode.loss_ce: 0.1984, decode.acc_seg: 91.8681, loss: 0.1984 +2023-03-04 02:30:42,758 - mmseg - INFO - Iter [22150/160000] lr: 7.500e-05, eta: 8:09:41, time: 0.178, data_time: 0.007, memory: 52541, decode.loss_ce: 0.1986, decode.acc_seg: 91.8253, loss: 0.1986 +2023-03-04 02:30:51,324 - mmseg - INFO - Iter [22200/160000] lr: 7.500e-05, eta: 8:09:18, time: 0.171, data_time: 0.007, memory: 52541, decode.loss_ce: 0.2007, decode.acc_seg: 91.8463, loss: 0.2007 +2023-03-04 02:31:00,002 - mmseg - INFO - Iter [22250/160000] lr: 7.500e-05, eta: 8:08:55, time: 0.174, data_time: 0.008, memory: 52541, decode.loss_ce: 0.2118, decode.acc_seg: 91.4424, loss: 0.2118 +2023-03-04 02:31:08,557 - mmseg - INFO - Iter [22300/160000] lr: 7.500e-05, eta: 8:08:31, time: 0.171, data_time: 0.007, memory: 52541, decode.loss_ce: 0.2052, decode.acc_seg: 91.6525, loss: 0.2052 +2023-03-04 02:31:16,781 - mmseg - INFO - Iter [22350/160000] lr: 7.500e-05, eta: 8:08:06, time: 0.164, data_time: 0.007, memory: 52541, decode.loss_ce: 0.1914, decode.acc_seg: 91.9051, loss: 0.1914 +2023-03-04 02:31:25,429 - mmseg - INFO - Iter [22400/160000] lr: 7.500e-05, eta: 8:07:43, time: 0.173, data_time: 0.007, memory: 52541, decode.loss_ce: 0.2022, decode.acc_seg: 91.7618, loss: 0.2022 +2023-03-04 02:31:34,195 - mmseg - INFO - Iter [22450/160000] lr: 7.500e-05, eta: 8:07:21, time: 0.176, data_time: 0.007, memory: 52541, decode.loss_ce: 0.2121, decode.acc_seg: 91.4219, loss: 0.2121 +2023-03-04 02:31:42,807 - mmseg - INFO - Iter [22500/160000] lr: 7.500e-05, eta: 8:06:58, time: 0.172, data_time: 0.007, memory: 52541, decode.loss_ce: 0.2004, decode.acc_seg: 91.8592, loss: 0.2004 +2023-03-04 02:31:51,369 - mmseg - INFO - Iter [22550/160000] lr: 7.500e-05, eta: 8:06:35, time: 0.171, data_time: 0.007, memory: 52541, decode.loss_ce: 0.2080, decode.acc_seg: 91.5313, loss: 0.2080 +2023-03-04 02:32:00,012 - mmseg - INFO - Iter [22600/160000] lr: 7.500e-05, eta: 8:06:12, time: 0.173, data_time: 0.007, memory: 52541, decode.loss_ce: 0.2058, decode.acc_seg: 91.6110, loss: 0.2058 +2023-03-04 02:32:08,297 - mmseg - INFO - Iter [22650/160000] lr: 7.500e-05, eta: 8:05:47, time: 0.165, data_time: 0.007, memory: 52541, decode.loss_ce: 0.2006, decode.acc_seg: 91.7683, loss: 0.2006 +2023-03-04 02:32:16,971 - mmseg - INFO - Iter [22700/160000] lr: 7.500e-05, eta: 8:05:25, time: 0.173, data_time: 0.007, memory: 52541, decode.loss_ce: 0.2018, decode.acc_seg: 91.7899, loss: 0.2018 +2023-03-04 02:32:28,244 - mmseg - INFO - Iter [22750/160000] lr: 7.500e-05, eta: 8:05:18, time: 0.226, data_time: 0.057, memory: 52541, decode.loss_ce: 0.1940, decode.acc_seg: 91.9818, loss: 0.1940 +2023-03-04 02:32:36,982 - mmseg - INFO - Iter [22800/160000] lr: 7.500e-05, eta: 8:04:57, time: 0.175, data_time: 0.007, memory: 52541, decode.loss_ce: 0.2065, decode.acc_seg: 91.5912, loss: 0.2065 +2023-03-04 02:32:45,173 - mmseg - INFO - Iter [22850/160000] lr: 7.500e-05, eta: 8:04:31, time: 0.164, data_time: 0.007, memory: 52541, decode.loss_ce: 0.2038, decode.acc_seg: 91.7351, loss: 0.2038 +2023-03-04 02:32:53,916 - mmseg - INFO - Iter [22900/160000] lr: 7.500e-05, eta: 8:04:10, time: 0.175, data_time: 0.007, memory: 52541, decode.loss_ce: 0.2035, decode.acc_seg: 91.7265, loss: 0.2035 +2023-03-04 02:33:02,360 - mmseg - INFO - Iter [22950/160000] lr: 7.500e-05, eta: 8:03:46, time: 0.169, data_time: 0.007, memory: 52541, decode.loss_ce: 0.2058, decode.acc_seg: 91.6361, loss: 0.2058 +2023-03-04 02:33:11,128 - mmseg - INFO - Exp name: ablation_segformer_mit_b2_segformer_head_unet_fc_small_multi_step_ade_pretrained_freeze_embed_160k_ade20k151_finetune_ema_winit.py +2023-03-04 02:33:11,128 - mmseg - INFO - Iter [23000/160000] lr: 7.500e-05, eta: 8:03:25, time: 0.175, data_time: 0.007, memory: 52541, decode.loss_ce: 0.2026, decode.acc_seg: 91.8488, loss: 0.2026 +2023-03-04 02:33:19,370 - mmseg - INFO - Iter [23050/160000] lr: 7.500e-05, eta: 8:03:00, time: 0.165, data_time: 0.007, memory: 52541, decode.loss_ce: 0.2055, decode.acc_seg: 91.5911, loss: 0.2055 +2023-03-04 02:33:28,147 - mmseg - INFO - Iter [23100/160000] lr: 7.500e-05, eta: 8:02:39, time: 0.176, data_time: 0.008, memory: 52541, decode.loss_ce: 0.2003, decode.acc_seg: 91.8717, loss: 0.2003 +2023-03-04 02:33:36,432 - mmseg - INFO - Iter [23150/160000] lr: 7.500e-05, eta: 8:02:15, time: 0.166, data_time: 0.007, memory: 52541, decode.loss_ce: 0.1994, decode.acc_seg: 91.6797, loss: 0.1994 +2023-03-04 02:33:44,700 - mmseg - INFO - Iter [23200/160000] lr: 7.500e-05, eta: 8:01:51, time: 0.165, data_time: 0.007, memory: 52541, decode.loss_ce: 0.1978, decode.acc_seg: 91.8183, loss: 0.1978 +2023-03-04 02:33:53,057 - mmseg - INFO - Iter [23250/160000] lr: 7.500e-05, eta: 8:01:27, time: 0.167, data_time: 0.007, memory: 52541, decode.loss_ce: 0.1983, decode.acc_seg: 91.7186, loss: 0.1983 +2023-03-04 02:34:01,860 - mmseg - INFO - Iter [23300/160000] lr: 7.500e-05, eta: 8:01:06, time: 0.176, data_time: 0.007, memory: 52541, decode.loss_ce: 0.2006, decode.acc_seg: 91.8034, loss: 0.2006 +2023-03-04 02:34:12,758 - mmseg - INFO - Iter [23350/160000] lr: 7.500e-05, eta: 8:00:58, time: 0.218, data_time: 0.056, memory: 52541, decode.loss_ce: 0.1932, decode.acc_seg: 91.9320, loss: 0.1932 +2023-03-04 02:34:21,232 - mmseg - INFO - Iter [23400/160000] lr: 7.500e-05, eta: 8:00:35, time: 0.169, data_time: 0.007, memory: 52541, decode.loss_ce: 0.1915, decode.acc_seg: 92.1628, loss: 0.1915 +2023-03-04 02:34:30,317 - mmseg - INFO - Iter [23450/160000] lr: 7.500e-05, eta: 8:00:16, time: 0.182, data_time: 0.007, memory: 52541, decode.loss_ce: 0.2059, decode.acc_seg: 91.5139, loss: 0.2059 +2023-03-04 02:34:39,146 - mmseg - INFO - Iter [23500/160000] lr: 7.500e-05, eta: 7:59:55, time: 0.177, data_time: 0.007, memory: 52541, decode.loss_ce: 0.2020, decode.acc_seg: 91.7550, loss: 0.2020 +2023-03-04 02:34:47,539 - mmseg - INFO - Iter [23550/160000] lr: 7.500e-05, eta: 7:59:32, time: 0.168, data_time: 0.007, memory: 52541, decode.loss_ce: 0.1996, decode.acc_seg: 91.7857, loss: 0.1996 +2023-03-04 02:34:56,243 - mmseg - INFO - Iter [23600/160000] lr: 7.500e-05, eta: 7:59:11, time: 0.174, data_time: 0.007, memory: 52541, decode.loss_ce: 0.2111, decode.acc_seg: 91.5378, loss: 0.2111 +2023-03-04 02:35:04,521 - mmseg - INFO - Iter [23650/160000] lr: 7.500e-05, eta: 7:58:48, time: 0.166, data_time: 0.007, memory: 52541, decode.loss_ce: 0.2047, decode.acc_seg: 91.5649, loss: 0.2047 +2023-03-04 02:35:13,044 - mmseg - INFO - Iter [23700/160000] lr: 7.500e-05, eta: 7:58:25, time: 0.170, data_time: 0.007, memory: 52541, decode.loss_ce: 0.1980, decode.acc_seg: 91.9623, loss: 0.1980 +2023-03-04 02:35:21,557 - mmseg - INFO - Iter [23750/160000] lr: 7.500e-05, eta: 7:58:03, time: 0.170, data_time: 0.007, memory: 52541, decode.loss_ce: 0.2056, decode.acc_seg: 91.6358, loss: 0.2056 +2023-03-04 02:35:30,441 - mmseg - INFO - Iter [23800/160000] lr: 7.500e-05, eta: 7:57:43, time: 0.178, data_time: 0.007, memory: 52541, decode.loss_ce: 0.1892, decode.acc_seg: 92.0142, loss: 0.1892 +2023-03-04 02:35:38,913 - mmseg - INFO - Iter [23850/160000] lr: 7.500e-05, eta: 7:57:21, time: 0.169, data_time: 0.007, memory: 52541, decode.loss_ce: 0.1999, decode.acc_seg: 91.7368, loss: 0.1999 +2023-03-04 02:35:47,434 - mmseg - INFO - Iter [23900/160000] lr: 7.500e-05, eta: 7:56:59, time: 0.170, data_time: 0.008, memory: 52541, decode.loss_ce: 0.2026, decode.acc_seg: 91.5817, loss: 0.2026 +2023-03-04 02:35:56,459 - mmseg - INFO - Iter [23950/160000] lr: 7.500e-05, eta: 7:56:40, time: 0.180, data_time: 0.007, memory: 52541, decode.loss_ce: 0.2033, decode.acc_seg: 91.6753, loss: 0.2033 +2023-03-04 02:36:07,508 - mmseg - INFO - Exp name: ablation_segformer_mit_b2_segformer_head_unet_fc_small_multi_step_ade_pretrained_freeze_embed_160k_ade20k151_finetune_ema_winit.py +2023-03-04 02:36:07,508 - mmseg - INFO - Iter [24000/160000] lr: 7.500e-05, eta: 7:56:33, time: 0.221, data_time: 0.053, memory: 52541, decode.loss_ce: 0.2035, decode.acc_seg: 91.5393, loss: 0.2035 +2023-03-04 02:36:16,118 - mmseg - INFO - Iter [24050/160000] lr: 7.500e-05, eta: 7:56:12, time: 0.172, data_time: 0.008, memory: 52541, decode.loss_ce: 0.2068, decode.acc_seg: 91.4324, loss: 0.2068 +2023-03-04 02:36:24,625 - mmseg - INFO - Iter [24100/160000] lr: 7.500e-05, eta: 7:55:50, time: 0.170, data_time: 0.007, memory: 52541, decode.loss_ce: 0.1965, decode.acc_seg: 91.9907, loss: 0.1965 +2023-03-04 02:36:32,964 - mmseg - INFO - Iter [24150/160000] lr: 7.500e-05, eta: 7:55:27, time: 0.167, data_time: 0.007, memory: 52541, decode.loss_ce: 0.2044, decode.acc_seg: 91.6232, loss: 0.2044 +2023-03-04 02:36:41,707 - mmseg - INFO - Iter [24200/160000] lr: 7.500e-05, eta: 7:55:07, time: 0.175, data_time: 0.007, memory: 52541, decode.loss_ce: 0.1995, decode.acc_seg: 91.7699, loss: 0.1995 +2023-03-04 02:36:50,096 - mmseg - INFO - Iter [24250/160000] lr: 7.500e-05, eta: 7:54:44, time: 0.168, data_time: 0.007, memory: 52541, decode.loss_ce: 0.2080, decode.acc_seg: 91.5067, loss: 0.2080 +2023-03-04 02:36:58,591 - mmseg - INFO - Iter [24300/160000] lr: 7.500e-05, eta: 7:54:23, time: 0.170, data_time: 0.007, memory: 52541, decode.loss_ce: 0.2071, decode.acc_seg: 91.6008, loss: 0.2071 +2023-03-04 02:37:07,061 - mmseg - INFO - Iter [24350/160000] lr: 7.500e-05, eta: 7:54:01, time: 0.170, data_time: 0.007, memory: 52541, decode.loss_ce: 0.2057, decode.acc_seg: 91.4531, loss: 0.2057 +2023-03-04 02:37:15,759 - mmseg - INFO - Iter [24400/160000] lr: 7.500e-05, eta: 7:53:41, time: 0.174, data_time: 0.008, memory: 52541, decode.loss_ce: 0.2025, decode.acc_seg: 91.7479, loss: 0.2025 +2023-03-04 02:37:24,005 - mmseg - INFO - Iter [24450/160000] lr: 7.500e-05, eta: 7:53:18, time: 0.165, data_time: 0.007, memory: 52541, decode.loss_ce: 0.2031, decode.acc_seg: 91.5922, loss: 0.2031 +2023-03-04 02:37:32,409 - mmseg - INFO - Iter [24500/160000] lr: 7.500e-05, eta: 7:52:56, time: 0.168, data_time: 0.007, memory: 52541, decode.loss_ce: 0.2078, decode.acc_seg: 91.5517, loss: 0.2078 +2023-03-04 02:37:40,981 - mmseg - INFO - Iter [24550/160000] lr: 7.500e-05, eta: 7:52:35, time: 0.171, data_time: 0.007, memory: 52541, decode.loss_ce: 0.2018, decode.acc_seg: 91.6411, loss: 0.2018 +2023-03-04 02:37:49,639 - mmseg - INFO - Iter [24600/160000] lr: 7.500e-05, eta: 7:52:15, time: 0.173, data_time: 0.008, memory: 52541, decode.loss_ce: 0.2073, decode.acc_seg: 91.7417, loss: 0.2073 +2023-03-04 02:38:00,454 - mmseg - INFO - Iter [24650/160000] lr: 7.500e-05, eta: 7:52:06, time: 0.216, data_time: 0.055, memory: 52541, decode.loss_ce: 0.2016, decode.acc_seg: 91.6909, loss: 0.2016 +2023-03-04 02:38:09,060 - mmseg - INFO - Iter [24700/160000] lr: 7.500e-05, eta: 7:51:45, time: 0.172, data_time: 0.007, memory: 52541, decode.loss_ce: 0.1960, decode.acc_seg: 91.9625, loss: 0.1960 +2023-03-04 02:38:17,997 - mmseg - INFO - Iter [24750/160000] lr: 7.500e-05, eta: 7:51:26, time: 0.178, data_time: 0.007, memory: 52541, decode.loss_ce: 0.2040, decode.acc_seg: 91.5574, loss: 0.2040 +2023-03-04 02:38:26,614 - mmseg - INFO - Iter [24800/160000] lr: 7.500e-05, eta: 7:51:06, time: 0.173, data_time: 0.007, memory: 52541, decode.loss_ce: 0.1972, decode.acc_seg: 91.9666, loss: 0.1972 +2023-03-04 02:38:34,895 - mmseg - INFO - Iter [24850/160000] lr: 7.500e-05, eta: 7:50:44, time: 0.166, data_time: 0.007, memory: 52541, decode.loss_ce: 0.1994, decode.acc_seg: 91.9265, loss: 0.1994 +2023-03-04 02:38:43,495 - mmseg - INFO - Iter [24900/160000] lr: 7.500e-05, eta: 7:50:23, time: 0.172, data_time: 0.006, memory: 52541, decode.loss_ce: 0.1967, decode.acc_seg: 91.8376, loss: 0.1967 +2023-03-04 02:38:52,004 - mmseg - INFO - Iter [24950/160000] lr: 7.500e-05, eta: 7:50:02, time: 0.170, data_time: 0.007, memory: 52541, decode.loss_ce: 0.2041, decode.acc_seg: 91.5592, loss: 0.2041 +2023-03-04 02:39:00,701 - mmseg - INFO - Exp name: ablation_segformer_mit_b2_segformer_head_unet_fc_small_multi_step_ade_pretrained_freeze_embed_160k_ade20k151_finetune_ema_winit.py +2023-03-04 02:39:00,701 - mmseg - INFO - Iter [25000/160000] lr: 7.500e-05, eta: 7:49:43, time: 0.174, data_time: 0.006, memory: 52541, decode.loss_ce: 0.2071, decode.acc_seg: 91.4810, loss: 0.2071 +2023-03-04 02:39:09,270 - mmseg - INFO - Iter [25050/160000] lr: 7.500e-05, eta: 7:49:22, time: 0.171, data_time: 0.007, memory: 52541, decode.loss_ce: 0.1984, decode.acc_seg: 91.8914, loss: 0.1984 +2023-03-04 02:39:17,528 - mmseg - INFO - Iter [25100/160000] lr: 7.500e-05, eta: 7:49:00, time: 0.165, data_time: 0.007, memory: 52541, decode.loss_ce: 0.2110, decode.acc_seg: 91.5102, loss: 0.2110 +2023-03-04 02:39:26,269 - mmseg - INFO - Iter [25150/160000] lr: 7.500e-05, eta: 7:48:40, time: 0.175, data_time: 0.007, memory: 52541, decode.loss_ce: 0.2071, decode.acc_seg: 91.4926, loss: 0.2071 +2023-03-04 02:39:34,982 - mmseg - INFO - Iter [25200/160000] lr: 7.500e-05, eta: 7:48:21, time: 0.174, data_time: 0.008, memory: 52541, decode.loss_ce: 0.2066, decode.acc_seg: 91.5923, loss: 0.2066 +2023-03-04 02:39:46,084 - mmseg - INFO - Iter [25250/160000] lr: 7.500e-05, eta: 7:48:14, time: 0.222, data_time: 0.053, memory: 52541, decode.loss_ce: 0.2078, decode.acc_seg: 91.3396, loss: 0.2078 +2023-03-04 02:39:55,193 - mmseg - INFO - Iter [25300/160000] lr: 7.500e-05, eta: 7:47:56, time: 0.182, data_time: 0.007, memory: 52541, decode.loss_ce: 0.1906, decode.acc_seg: 92.0631, loss: 0.1906 +2023-03-04 02:40:03,600 - mmseg - INFO - Iter [25350/160000] lr: 7.500e-05, eta: 7:47:35, time: 0.168, data_time: 0.007, memory: 52541, decode.loss_ce: 0.1979, decode.acc_seg: 91.7889, loss: 0.1979 +2023-03-04 02:40:12,506 - mmseg - INFO - Iter [25400/160000] lr: 7.500e-05, eta: 7:47:17, time: 0.178, data_time: 0.007, memory: 52541, decode.loss_ce: 0.2090, decode.acc_seg: 91.4816, loss: 0.2090 +2023-03-04 02:40:20,959 - mmseg - INFO - Iter [25450/160000] lr: 7.500e-05, eta: 7:46:56, time: 0.169, data_time: 0.007, memory: 52541, decode.loss_ce: 0.1971, decode.acc_seg: 91.7512, loss: 0.1971 +2023-03-04 02:40:29,494 - mmseg - INFO - Iter [25500/160000] lr: 7.500e-05, eta: 7:46:36, time: 0.170, data_time: 0.008, memory: 52541, decode.loss_ce: 0.2050, decode.acc_seg: 91.6445, loss: 0.2050 +2023-03-04 02:40:38,216 - mmseg - INFO - Iter [25550/160000] lr: 7.500e-05, eta: 7:46:17, time: 0.175, data_time: 0.007, memory: 52541, decode.loss_ce: 0.2091, decode.acc_seg: 91.5266, loss: 0.2091 +2023-03-04 02:40:46,683 - mmseg - INFO - Iter [25600/160000] lr: 7.500e-05, eta: 7:45:56, time: 0.169, data_time: 0.007, memory: 52541, decode.loss_ce: 0.2041, decode.acc_seg: 91.6967, loss: 0.2041 +2023-03-04 02:40:55,181 - mmseg - INFO - Iter [25650/160000] lr: 7.500e-05, eta: 7:45:36, time: 0.170, data_time: 0.007, memory: 52541, decode.loss_ce: 0.2012, decode.acc_seg: 91.6451, loss: 0.2012 +2023-03-04 02:41:03,445 - mmseg - INFO - Iter [25700/160000] lr: 7.500e-05, eta: 7:45:14, time: 0.165, data_time: 0.007, memory: 52541, decode.loss_ce: 0.1956, decode.acc_seg: 91.9478, loss: 0.1956 +2023-03-04 02:41:12,000 - mmseg - INFO - Iter [25750/160000] lr: 7.500e-05, eta: 7:44:54, time: 0.171, data_time: 0.007, memory: 52541, decode.loss_ce: 0.2019, decode.acc_seg: 91.6684, loss: 0.2019 +2023-03-04 02:41:20,537 - mmseg - INFO - Iter [25800/160000] lr: 7.500e-05, eta: 7:44:34, time: 0.171, data_time: 0.007, memory: 52541, decode.loss_ce: 0.2043, decode.acc_seg: 91.6785, loss: 0.2043 +2023-03-04 02:41:29,140 - mmseg - INFO - Iter [25850/160000] lr: 7.500e-05, eta: 7:44:15, time: 0.172, data_time: 0.008, memory: 52541, decode.loss_ce: 0.2071, decode.acc_seg: 91.6414, loss: 0.2071 +2023-03-04 02:41:40,012 - mmseg - INFO - Iter [25900/160000] lr: 7.500e-05, eta: 7:44:07, time: 0.217, data_time: 0.053, memory: 52541, decode.loss_ce: 0.2057, decode.acc_seg: 91.5509, loss: 0.2057 +2023-03-04 02:41:48,459 - mmseg - INFO - Iter [25950/160000] lr: 7.500e-05, eta: 7:43:46, time: 0.169, data_time: 0.007, memory: 52541, decode.loss_ce: 0.2019, decode.acc_seg: 91.7273, loss: 0.2019 +2023-03-04 02:41:56,936 - mmseg - INFO - Exp name: ablation_segformer_mit_b2_segformer_head_unet_fc_small_multi_step_ade_pretrained_freeze_embed_160k_ade20k151_finetune_ema_winit.py +2023-03-04 02:41:56,937 - mmseg - INFO - Iter [26000/160000] lr: 7.500e-05, eta: 7:43:26, time: 0.170, data_time: 0.008, memory: 52541, decode.loss_ce: 0.1972, decode.acc_seg: 91.9290, loss: 0.1972 +2023-03-04 02:42:05,602 - mmseg - INFO - Iter [26050/160000] lr: 7.500e-05, eta: 7:43:07, time: 0.173, data_time: 0.008, memory: 52541, decode.loss_ce: 0.2113, decode.acc_seg: 91.4755, loss: 0.2113 +2023-03-04 02:42:14,190 - mmseg - INFO - Iter [26100/160000] lr: 7.500e-05, eta: 7:42:47, time: 0.172, data_time: 0.007, memory: 52541, decode.loss_ce: 0.1954, decode.acc_seg: 91.9769, loss: 0.1954 +2023-03-04 02:42:22,733 - mmseg - INFO - Iter [26150/160000] lr: 7.500e-05, eta: 7:42:28, time: 0.171, data_time: 0.008, memory: 52541, decode.loss_ce: 0.1999, decode.acc_seg: 91.6843, loss: 0.1999 +2023-03-04 02:42:31,178 - mmseg - INFO - Iter [26200/160000] lr: 7.500e-05, eta: 7:42:07, time: 0.169, data_time: 0.007, memory: 52541, decode.loss_ce: 0.1886, decode.acc_seg: 92.2912, loss: 0.1886 +2023-03-04 02:42:40,113 - mmseg - INFO - Iter [26250/160000] lr: 7.500e-05, eta: 7:41:50, time: 0.179, data_time: 0.008, memory: 52541, decode.loss_ce: 0.1992, decode.acc_seg: 91.8383, loss: 0.1992 +2023-03-04 02:42:48,475 - mmseg - INFO - Iter [26300/160000] lr: 7.500e-05, eta: 7:41:29, time: 0.167, data_time: 0.007, memory: 52541, decode.loss_ce: 0.2070, decode.acc_seg: 91.5490, loss: 0.2070 +2023-03-04 02:42:56,789 - mmseg - INFO - Iter [26350/160000] lr: 7.500e-05, eta: 7:41:09, time: 0.166, data_time: 0.008, memory: 52541, decode.loss_ce: 0.1960, decode.acc_seg: 91.9717, loss: 0.1960 +2023-03-04 02:43:05,639 - mmseg - INFO - Iter [26400/160000] lr: 7.500e-05, eta: 7:40:51, time: 0.177, data_time: 0.008, memory: 52541, decode.loss_ce: 0.2011, decode.acc_seg: 91.9237, loss: 0.2011 +2023-03-04 02:43:13,970 - mmseg - INFO - Iter [26450/160000] lr: 7.500e-05, eta: 7:40:30, time: 0.167, data_time: 0.007, memory: 52541, decode.loss_ce: 0.2036, decode.acc_seg: 91.4617, loss: 0.2036 +2023-03-04 02:43:22,571 - mmseg - INFO - Iter [26500/160000] lr: 7.500e-05, eta: 7:40:11, time: 0.172, data_time: 0.008, memory: 52541, decode.loss_ce: 0.2065, decode.acc_seg: 91.6134, loss: 0.2065 +2023-03-04 02:43:33,714 - mmseg - INFO - Iter [26550/160000] lr: 7.500e-05, eta: 7:40:05, time: 0.223, data_time: 0.054, memory: 52541, decode.loss_ce: 0.2100, decode.acc_seg: 91.3460, loss: 0.2100 +2023-03-04 02:43:42,045 - mmseg - INFO - Iter [26600/160000] lr: 7.500e-05, eta: 7:39:44, time: 0.167, data_time: 0.007, memory: 52541, decode.loss_ce: 0.1962, decode.acc_seg: 91.9067, loss: 0.1962 +2023-03-04 02:43:50,326 - mmseg - INFO - Iter [26650/160000] lr: 7.500e-05, eta: 7:39:24, time: 0.166, data_time: 0.007, memory: 52541, decode.loss_ce: 0.1977, decode.acc_seg: 91.8662, loss: 0.1977 +2023-03-04 02:43:59,108 - mmseg - INFO - Iter [26700/160000] lr: 7.500e-05, eta: 7:39:05, time: 0.175, data_time: 0.007, memory: 52541, decode.loss_ce: 0.2050, decode.acc_seg: 91.4117, loss: 0.2050 +2023-03-04 02:44:08,057 - mmseg - INFO - Iter [26750/160000] lr: 7.500e-05, eta: 7:38:48, time: 0.179, data_time: 0.008, memory: 52541, decode.loss_ce: 0.1958, decode.acc_seg: 91.9161, loss: 0.1958 +2023-03-04 02:44:16,479 - mmseg - INFO - Iter [26800/160000] lr: 7.500e-05, eta: 7:38:29, time: 0.168, data_time: 0.007, memory: 52541, decode.loss_ce: 0.1985, decode.acc_seg: 91.8661, loss: 0.1985 +2023-03-04 02:44:25,113 - mmseg - INFO - Iter [26850/160000] lr: 7.500e-05, eta: 7:38:10, time: 0.173, data_time: 0.007, memory: 52541, decode.loss_ce: 0.1989, decode.acc_seg: 91.9756, loss: 0.1989 +2023-03-04 02:44:33,304 - mmseg - INFO - Iter [26900/160000] lr: 7.500e-05, eta: 7:37:49, time: 0.164, data_time: 0.007, memory: 52541, decode.loss_ce: 0.2088, decode.acc_seg: 91.4143, loss: 0.2088 +2023-03-04 02:44:41,619 - mmseg - INFO - Iter [26950/160000] lr: 7.500e-05, eta: 7:37:29, time: 0.166, data_time: 0.007, memory: 52541, decode.loss_ce: 0.2000, decode.acc_seg: 91.8262, loss: 0.2000 +2023-03-04 02:44:49,986 - mmseg - INFO - Exp name: ablation_segformer_mit_b2_segformer_head_unet_fc_small_multi_step_ade_pretrained_freeze_embed_160k_ade20k151_finetune_ema_winit.py +2023-03-04 02:44:49,987 - mmseg - INFO - Iter [27000/160000] lr: 7.500e-05, eta: 7:37:09, time: 0.167, data_time: 0.007, memory: 52541, decode.loss_ce: 0.2050, decode.acc_seg: 91.7347, loss: 0.2050 +2023-03-04 02:44:58,210 - mmseg - INFO - Iter [27050/160000] lr: 7.500e-05, eta: 7:36:48, time: 0.164, data_time: 0.007, memory: 52541, decode.loss_ce: 0.1997, decode.acc_seg: 91.7096, loss: 0.1997 +2023-03-04 02:45:06,876 - mmseg - INFO - Iter [27100/160000] lr: 7.500e-05, eta: 7:36:30, time: 0.173, data_time: 0.007, memory: 52541, decode.loss_ce: 0.2017, decode.acc_seg: 91.6610, loss: 0.2017 +2023-03-04 02:45:17,552 - mmseg - INFO - Iter [27150/160000] lr: 7.500e-05, eta: 7:36:21, time: 0.214, data_time: 0.055, memory: 52541, decode.loss_ce: 0.1897, decode.acc_seg: 92.1150, loss: 0.1897 +2023-03-04 02:45:26,592 - mmseg - INFO - Iter [27200/160000] lr: 7.500e-05, eta: 7:36:05, time: 0.181, data_time: 0.007, memory: 52541, decode.loss_ce: 0.2017, decode.acc_seg: 91.6825, loss: 0.2017 +2023-03-04 02:45:34,934 - mmseg - INFO - Iter [27250/160000] lr: 7.500e-05, eta: 7:35:45, time: 0.167, data_time: 0.007, memory: 52541, decode.loss_ce: 0.2148, decode.acc_seg: 91.2078, loss: 0.2148 +2023-03-04 02:45:43,615 - mmseg - INFO - Iter [27300/160000] lr: 7.500e-05, eta: 7:35:27, time: 0.174, data_time: 0.008, memory: 52541, decode.loss_ce: 0.2047, decode.acc_seg: 91.7004, loss: 0.2047 +2023-03-04 02:45:52,047 - mmseg - INFO - Iter [27350/160000] lr: 7.500e-05, eta: 7:35:07, time: 0.168, data_time: 0.007, memory: 52541, decode.loss_ce: 0.1984, decode.acc_seg: 91.7668, loss: 0.1984 +2023-03-04 02:46:00,445 - mmseg - INFO - Iter [27400/160000] lr: 7.500e-05, eta: 7:34:48, time: 0.168, data_time: 0.008, memory: 52541, decode.loss_ce: 0.2009, decode.acc_seg: 91.6833, loss: 0.2009 +2023-03-04 02:46:09,128 - mmseg - INFO - Iter [27450/160000] lr: 7.500e-05, eta: 7:34:30, time: 0.174, data_time: 0.007, memory: 52541, decode.loss_ce: 0.2044, decode.acc_seg: 91.7366, loss: 0.2044 +2023-03-04 02:46:17,801 - mmseg - INFO - Iter [27500/160000] lr: 7.500e-05, eta: 7:34:12, time: 0.173, data_time: 0.007, memory: 52541, decode.loss_ce: 0.1987, decode.acc_seg: 91.7827, loss: 0.1987 +2023-03-04 02:46:26,185 - mmseg - INFO - Iter [27550/160000] lr: 7.500e-05, eta: 7:33:53, time: 0.168, data_time: 0.007, memory: 52541, decode.loss_ce: 0.2096, decode.acc_seg: 91.4179, loss: 0.2096 +2023-03-04 02:46:34,724 - mmseg - INFO - Iter [27600/160000] lr: 7.500e-05, eta: 7:33:34, time: 0.171, data_time: 0.007, memory: 52541, decode.loss_ce: 0.2040, decode.acc_seg: 91.5701, loss: 0.2040 +2023-03-04 02:46:43,110 - mmseg - INFO - Iter [27650/160000] lr: 7.500e-05, eta: 7:33:15, time: 0.168, data_time: 0.007, memory: 52541, decode.loss_ce: 0.1967, decode.acc_seg: 91.9412, loss: 0.1967 +2023-03-04 02:46:51,586 - mmseg - INFO - Iter [27700/160000] lr: 7.500e-05, eta: 7:32:56, time: 0.169, data_time: 0.007, memory: 52541, decode.loss_ce: 0.2028, decode.acc_seg: 91.5544, loss: 0.2028 +2023-03-04 02:46:59,969 - mmseg - INFO - Iter [27750/160000] lr: 7.500e-05, eta: 7:32:36, time: 0.168, data_time: 0.008, memory: 52541, decode.loss_ce: 0.1992, decode.acc_seg: 91.8811, loss: 0.1992 +2023-03-04 02:47:10,724 - mmseg - INFO - Iter [27800/160000] lr: 7.500e-05, eta: 7:32:28, time: 0.215, data_time: 0.053, memory: 52541, decode.loss_ce: 0.2011, decode.acc_seg: 91.6640, loss: 0.2011 +2023-03-04 02:47:19,391 - mmseg - INFO - Iter [27850/160000] lr: 7.500e-05, eta: 7:32:11, time: 0.173, data_time: 0.008, memory: 52541, decode.loss_ce: 0.2017, decode.acc_seg: 91.8896, loss: 0.2017 +2023-03-04 02:47:28,012 - mmseg - INFO - Iter [27900/160000] lr: 7.500e-05, eta: 7:31:52, time: 0.172, data_time: 0.007, memory: 52541, decode.loss_ce: 0.1935, decode.acc_seg: 92.0432, loss: 0.1935 +2023-03-04 02:47:36,571 - mmseg - INFO - Iter [27950/160000] lr: 7.500e-05, eta: 7:31:34, time: 0.171, data_time: 0.007, memory: 52541, decode.loss_ce: 0.2009, decode.acc_seg: 91.8169, loss: 0.2009 +2023-03-04 02:47:45,137 - mmseg - INFO - Exp name: ablation_segformer_mit_b2_segformer_head_unet_fc_small_multi_step_ade_pretrained_freeze_embed_160k_ade20k151_finetune_ema_winit.py +2023-03-04 02:47:45,137 - mmseg - INFO - Iter [28000/160000] lr: 7.500e-05, eta: 7:31:16, time: 0.171, data_time: 0.007, memory: 52541, decode.loss_ce: 0.2064, decode.acc_seg: 91.4569, loss: 0.2064 +2023-03-04 02:47:53,462 - mmseg - INFO - Iter [28050/160000] lr: 7.500e-05, eta: 7:30:57, time: 0.166, data_time: 0.007, memory: 52541, decode.loss_ce: 0.2062, decode.acc_seg: 91.6230, loss: 0.2062 +2023-03-04 02:48:01,680 - mmseg - INFO - Iter [28100/160000] lr: 7.500e-05, eta: 7:30:37, time: 0.164, data_time: 0.007, memory: 52541, decode.loss_ce: 0.1947, decode.acc_seg: 91.9135, loss: 0.1947 +2023-03-04 02:48:10,095 - mmseg - INFO - Iter [28150/160000] lr: 7.500e-05, eta: 7:30:18, time: 0.168, data_time: 0.007, memory: 52541, decode.loss_ce: 0.2011, decode.acc_seg: 91.6213, loss: 0.2011 +2023-03-04 02:48:18,619 - mmseg - INFO - Iter [28200/160000] lr: 7.500e-05, eta: 7:30:00, time: 0.171, data_time: 0.007, memory: 52541, decode.loss_ce: 0.2068, decode.acc_seg: 91.6490, loss: 0.2068 +2023-03-04 02:48:27,310 - mmseg - INFO - Iter [28250/160000] lr: 7.500e-05, eta: 7:29:42, time: 0.174, data_time: 0.007, memory: 52541, decode.loss_ce: 0.1996, decode.acc_seg: 91.7980, loss: 0.1996 +2023-03-04 02:48:35,719 - mmseg - INFO - Iter [28300/160000] lr: 7.500e-05, eta: 7:29:23, time: 0.168, data_time: 0.007, memory: 52541, decode.loss_ce: 0.2045, decode.acc_seg: 91.5800, loss: 0.2045 +2023-03-04 02:48:44,118 - mmseg - INFO - Iter [28350/160000] lr: 7.500e-05, eta: 7:29:05, time: 0.168, data_time: 0.007, memory: 52541, decode.loss_ce: 0.1994, decode.acc_seg: 91.7122, loss: 0.1994 +2023-03-04 02:48:55,229 - mmseg - INFO - Iter [28400/160000] lr: 7.500e-05, eta: 7:28:58, time: 0.222, data_time: 0.055, memory: 52541, decode.loss_ce: 0.1981, decode.acc_seg: 91.9248, loss: 0.1981 +2023-03-04 02:49:03,574 - mmseg - INFO - Iter [28450/160000] lr: 7.500e-05, eta: 7:28:40, time: 0.167, data_time: 0.007, memory: 52541, decode.loss_ce: 0.1978, decode.acc_seg: 91.7396, loss: 0.1978 +2023-03-04 02:49:11,767 - mmseg - INFO - Iter [28500/160000] lr: 7.500e-05, eta: 7:28:20, time: 0.164, data_time: 0.007, memory: 52541, decode.loss_ce: 0.2015, decode.acc_seg: 91.7637, loss: 0.2015 +2023-03-04 02:49:20,245 - mmseg - INFO - Iter [28550/160000] lr: 7.500e-05, eta: 7:28:02, time: 0.170, data_time: 0.007, memory: 52541, decode.loss_ce: 0.1962, decode.acc_seg: 91.8114, loss: 0.1962 +2023-03-04 02:49:28,575 - mmseg - INFO - Iter [28600/160000] lr: 7.500e-05, eta: 7:27:43, time: 0.167, data_time: 0.007, memory: 52541, decode.loss_ce: 0.1960, decode.acc_seg: 91.8549, loss: 0.1960 +2023-03-04 02:49:37,124 - mmseg - INFO - Iter [28650/160000] lr: 7.500e-05, eta: 7:27:25, time: 0.171, data_time: 0.007, memory: 52541, decode.loss_ce: 0.2029, decode.acc_seg: 91.5932, loss: 0.2029 +2023-03-04 02:49:45,325 - mmseg - INFO - Iter [28700/160000] lr: 7.500e-05, eta: 7:27:05, time: 0.164, data_time: 0.007, memory: 52541, decode.loss_ce: 0.2024, decode.acc_seg: 91.7991, loss: 0.2024 +2023-03-04 02:49:53,866 - mmseg - INFO - Iter [28750/160000] lr: 7.500e-05, eta: 7:26:47, time: 0.171, data_time: 0.007, memory: 52541, decode.loss_ce: 0.1987, decode.acc_seg: 91.8702, loss: 0.1987 +2023-03-04 02:50:02,381 - mmseg - INFO - Iter [28800/160000] lr: 7.500e-05, eta: 7:26:30, time: 0.171, data_time: 0.007, memory: 52541, decode.loss_ce: 0.1964, decode.acc_seg: 91.8352, loss: 0.1964 +2023-03-04 02:50:10,819 - mmseg - INFO - Iter [28850/160000] lr: 7.500e-05, eta: 7:26:11, time: 0.169, data_time: 0.007, memory: 52541, decode.loss_ce: 0.1955, decode.acc_seg: 91.9292, loss: 0.1955 +2023-03-04 02:50:19,687 - mmseg - INFO - Iter [28900/160000] lr: 7.500e-05, eta: 7:25:55, time: 0.178, data_time: 0.007, memory: 52541, decode.loss_ce: 0.1957, decode.acc_seg: 91.9467, loss: 0.1957 +2023-03-04 02:50:28,409 - mmseg - INFO - Iter [28950/160000] lr: 7.500e-05, eta: 7:25:38, time: 0.174, data_time: 0.007, memory: 52541, decode.loss_ce: 0.2007, decode.acc_seg: 91.5906, loss: 0.2007 +2023-03-04 02:50:36,898 - mmseg - INFO - Exp name: ablation_segformer_mit_b2_segformer_head_unet_fc_small_multi_step_ade_pretrained_freeze_embed_160k_ade20k151_finetune_ema_winit.py +2023-03-04 02:50:36,899 - mmseg - INFO - Iter [29000/160000] lr: 7.500e-05, eta: 7:25:20, time: 0.170, data_time: 0.007, memory: 52541, decode.loss_ce: 0.2017, decode.acc_seg: 91.6808, loss: 0.2017 +2023-03-04 02:50:47,785 - mmseg - INFO - Iter [29050/160000] lr: 7.500e-05, eta: 7:25:13, time: 0.218, data_time: 0.053, memory: 52541, decode.loss_ce: 0.1998, decode.acc_seg: 91.8240, loss: 0.1998 +2023-03-04 02:50:56,328 - mmseg - INFO - Iter [29100/160000] lr: 7.500e-05, eta: 7:24:55, time: 0.171, data_time: 0.007, memory: 52541, decode.loss_ce: 0.2005, decode.acc_seg: 91.6987, loss: 0.2005 +2023-03-04 02:51:04,932 - mmseg - INFO - Iter [29150/160000] lr: 7.500e-05, eta: 7:24:38, time: 0.172, data_time: 0.007, memory: 52541, decode.loss_ce: 0.1966, decode.acc_seg: 92.0257, loss: 0.1966 +2023-03-04 02:51:13,503 - mmseg - INFO - Iter [29200/160000] lr: 7.500e-05, eta: 7:24:21, time: 0.171, data_time: 0.007, memory: 52541, decode.loss_ce: 0.2067, decode.acc_seg: 91.4739, loss: 0.2067 +2023-03-04 02:51:21,884 - mmseg - INFO - Iter [29250/160000] lr: 7.500e-05, eta: 7:24:02, time: 0.168, data_time: 0.007, memory: 52541, decode.loss_ce: 0.2014, decode.acc_seg: 91.7573, loss: 0.2014 +2023-03-04 02:51:30,416 - mmseg - INFO - Iter [29300/160000] lr: 7.500e-05, eta: 7:23:45, time: 0.171, data_time: 0.007, memory: 52541, decode.loss_ce: 0.1989, decode.acc_seg: 91.8131, loss: 0.1989 +2023-03-04 02:51:39,120 - mmseg - INFO - Iter [29350/160000] lr: 7.500e-05, eta: 7:23:28, time: 0.174, data_time: 0.007, memory: 52541, decode.loss_ce: 0.2024, decode.acc_seg: 91.7235, loss: 0.2024 +2023-03-04 02:51:47,629 - mmseg - INFO - Iter [29400/160000] lr: 7.500e-05, eta: 7:23:10, time: 0.170, data_time: 0.008, memory: 52541, decode.loss_ce: 0.1956, decode.acc_seg: 91.9199, loss: 0.1956 +2023-03-04 02:51:56,382 - mmseg - INFO - Iter [29450/160000] lr: 7.500e-05, eta: 7:22:54, time: 0.175, data_time: 0.007, memory: 52541, decode.loss_ce: 0.2048, decode.acc_seg: 91.5927, loss: 0.2048 +2023-03-04 02:52:05,015 - mmseg - INFO - Iter [29500/160000] lr: 7.500e-05, eta: 7:22:37, time: 0.172, data_time: 0.007, memory: 52541, decode.loss_ce: 0.2043, decode.acc_seg: 91.7527, loss: 0.2043 +2023-03-04 02:52:13,427 - mmseg - INFO - Iter [29550/160000] lr: 7.500e-05, eta: 7:22:19, time: 0.168, data_time: 0.008, memory: 52541, decode.loss_ce: 0.2028, decode.acc_seg: 91.7504, loss: 0.2028 +2023-03-04 02:52:22,449 - mmseg - INFO - Iter [29600/160000] lr: 7.500e-05, eta: 7:22:04, time: 0.181, data_time: 0.008, memory: 52541, decode.loss_ce: 0.2045, decode.acc_seg: 91.6777, loss: 0.2045 +2023-03-04 02:52:31,045 - mmseg - INFO - Iter [29650/160000] lr: 7.500e-05, eta: 7:21:46, time: 0.172, data_time: 0.007, memory: 52541, decode.loss_ce: 0.2062, decode.acc_seg: 91.5436, loss: 0.2062 +2023-03-04 02:52:42,212 - mmseg - INFO - Iter [29700/160000] lr: 7.500e-05, eta: 7:21:41, time: 0.223, data_time: 0.053, memory: 52541, decode.loss_ce: 0.1998, decode.acc_seg: 91.7507, loss: 0.1998 +2023-03-04 02:52:50,689 - mmseg - INFO - Iter [29750/160000] lr: 7.500e-05, eta: 7:21:23, time: 0.170, data_time: 0.007, memory: 52541, decode.loss_ce: 0.1995, decode.acc_seg: 91.8823, loss: 0.1995 +2023-03-04 02:52:59,131 - mmseg - INFO - Iter [29800/160000] lr: 7.500e-05, eta: 7:21:05, time: 0.169, data_time: 0.007, memory: 52541, decode.loss_ce: 0.2025, decode.acc_seg: 91.6860, loss: 0.2025 +2023-03-04 02:53:07,533 - mmseg - INFO - Iter [29850/160000] lr: 7.500e-05, eta: 7:20:48, time: 0.168, data_time: 0.007, memory: 52541, decode.loss_ce: 0.1990, decode.acc_seg: 91.8471, loss: 0.1990 +2023-03-04 02:53:16,139 - mmseg - INFO - Iter [29900/160000] lr: 7.500e-05, eta: 7:20:31, time: 0.172, data_time: 0.008, memory: 52541, decode.loss_ce: 0.2117, decode.acc_seg: 91.2085, loss: 0.2117 +2023-03-04 02:53:24,412 - mmseg - INFO - Iter [29950/160000] lr: 7.500e-05, eta: 7:20:12, time: 0.165, data_time: 0.007, memory: 52541, decode.loss_ce: 0.2022, decode.acc_seg: 91.7955, loss: 0.2022 +2023-03-04 02:53:32,997 - mmseg - INFO - Exp name: ablation_segformer_mit_b2_segformer_head_unet_fc_small_multi_step_ade_pretrained_freeze_embed_160k_ade20k151_finetune_ema_winit.py +2023-03-04 02:53:32,997 - mmseg - INFO - Iter [30000/160000] lr: 7.500e-05, eta: 7:19:55, time: 0.172, data_time: 0.007, memory: 52541, decode.loss_ce: 0.1938, decode.acc_seg: 92.0240, loss: 0.1938 +2023-03-04 02:53:41,621 - mmseg - INFO - Iter [30050/160000] lr: 7.500e-05, eta: 7:19:39, time: 0.172, data_time: 0.007, memory: 52541, decode.loss_ce: 0.1996, decode.acc_seg: 91.8395, loss: 0.1996 +2023-03-04 02:53:50,339 - mmseg - INFO - Iter [30100/160000] lr: 7.500e-05, eta: 7:19:22, time: 0.175, data_time: 0.007, memory: 52541, decode.loss_ce: 0.1957, decode.acc_seg: 91.9405, loss: 0.1957 +2023-03-04 02:53:59,109 - mmseg - INFO - Iter [30150/160000] lr: 7.500e-05, eta: 7:19:06, time: 0.175, data_time: 0.007, memory: 52541, decode.loss_ce: 0.2093, decode.acc_seg: 91.5495, loss: 0.2093 +2023-03-04 02:54:07,767 - mmseg - INFO - Iter [30200/160000] lr: 7.500e-05, eta: 7:18:50, time: 0.173, data_time: 0.007, memory: 52541, decode.loss_ce: 0.2047, decode.acc_seg: 91.6687, loss: 0.2047 +2023-03-04 02:54:16,183 - mmseg - INFO - Iter [30250/160000] lr: 7.500e-05, eta: 7:18:32, time: 0.169, data_time: 0.007, memory: 52541, decode.loss_ce: 0.1930, decode.acc_seg: 92.0044, loss: 0.1930 +2023-03-04 02:54:27,170 - mmseg - INFO - Iter [30300/160000] lr: 7.500e-05, eta: 7:18:26, time: 0.220, data_time: 0.056, memory: 52541, decode.loss_ce: 0.1974, decode.acc_seg: 91.8044, loss: 0.1974 +2023-03-04 02:54:36,095 - mmseg - INFO - Iter [30350/160000] lr: 7.500e-05, eta: 7:18:10, time: 0.178, data_time: 0.007, memory: 52541, decode.loss_ce: 0.1990, decode.acc_seg: 91.7637, loss: 0.1990 +2023-03-04 02:54:44,975 - mmseg - INFO - Iter [30400/160000] lr: 7.500e-05, eta: 7:17:55, time: 0.178, data_time: 0.007, memory: 52541, decode.loss_ce: 0.1974, decode.acc_seg: 91.7498, loss: 0.1974 +2023-03-04 02:54:53,313 - mmseg - INFO - Iter [30450/160000] lr: 7.500e-05, eta: 7:17:37, time: 0.167, data_time: 0.007, memory: 52541, decode.loss_ce: 0.2067, decode.acc_seg: 91.6810, loss: 0.2067 +2023-03-04 02:55:02,159 - mmseg - INFO - Iter [30500/160000] lr: 7.500e-05, eta: 7:17:21, time: 0.177, data_time: 0.008, memory: 52541, decode.loss_ce: 0.2048, decode.acc_seg: 91.6262, loss: 0.2048 +2023-03-04 02:55:10,617 - mmseg - INFO - Iter [30550/160000] lr: 7.500e-05, eta: 7:17:04, time: 0.169, data_time: 0.007, memory: 52541, decode.loss_ce: 0.2121, decode.acc_seg: 91.4159, loss: 0.2121 +2023-03-04 02:55:19,089 - mmseg - INFO - Iter [30600/160000] lr: 7.500e-05, eta: 7:16:47, time: 0.169, data_time: 0.007, memory: 52541, decode.loss_ce: 0.1948, decode.acc_seg: 91.9461, loss: 0.1948 +2023-03-04 02:55:27,624 - mmseg - INFO - Iter [30650/160000] lr: 7.500e-05, eta: 7:16:30, time: 0.171, data_time: 0.007, memory: 52541, decode.loss_ce: 0.2044, decode.acc_seg: 91.7004, loss: 0.2044 +2023-03-04 02:55:36,795 - mmseg - INFO - Iter [30700/160000] lr: 7.500e-05, eta: 7:16:16, time: 0.184, data_time: 0.007, memory: 52541, decode.loss_ce: 0.1985, decode.acc_seg: 91.9089, loss: 0.1985 +2023-03-04 02:55:45,184 - mmseg - INFO - Iter [30750/160000] lr: 7.500e-05, eta: 7:15:59, time: 0.168, data_time: 0.007, memory: 52541, decode.loss_ce: 0.2009, decode.acc_seg: 91.7579, loss: 0.2009 +2023-03-04 02:55:53,821 - mmseg - INFO - Iter [30800/160000] lr: 7.500e-05, eta: 7:15:42, time: 0.173, data_time: 0.008, memory: 52541, decode.loss_ce: 0.2050, decode.acc_seg: 91.5737, loss: 0.2050 +2023-03-04 02:56:02,698 - mmseg - INFO - Iter [30850/160000] lr: 7.500e-05, eta: 7:15:27, time: 0.177, data_time: 0.007, memory: 52541, decode.loss_ce: 0.2046, decode.acc_seg: 91.4729, loss: 0.2046 +2023-03-04 02:56:11,478 - mmseg - INFO - Iter [30900/160000] lr: 7.500e-05, eta: 7:15:11, time: 0.176, data_time: 0.008, memory: 52541, decode.loss_ce: 0.1977, decode.acc_seg: 91.8165, loss: 0.1977 +2023-03-04 02:56:22,380 - mmseg - INFO - Iter [30950/160000] lr: 7.500e-05, eta: 7:15:04, time: 0.218, data_time: 0.054, memory: 52541, decode.loss_ce: 0.1941, decode.acc_seg: 91.9587, loss: 0.1941 +2023-03-04 02:56:30,642 - mmseg - INFO - Exp name: ablation_segformer_mit_b2_segformer_head_unet_fc_small_multi_step_ade_pretrained_freeze_embed_160k_ade20k151_finetune_ema_winit.py +2023-03-04 02:56:30,642 - mmseg - INFO - Iter [31000/160000] lr: 7.500e-05, eta: 7:14:47, time: 0.165, data_time: 0.007, memory: 52541, decode.loss_ce: 0.2049, decode.acc_seg: 91.6505, loss: 0.2049 +2023-03-04 02:56:39,124 - mmseg - INFO - Iter [31050/160000] lr: 7.500e-05, eta: 7:14:30, time: 0.169, data_time: 0.007, memory: 52541, decode.loss_ce: 0.2044, decode.acc_seg: 91.5697, loss: 0.2044 +2023-03-04 02:56:47,856 - mmseg - INFO - Iter [31100/160000] lr: 7.500e-05, eta: 7:14:14, time: 0.175, data_time: 0.007, memory: 52541, decode.loss_ce: 0.2076, decode.acc_seg: 91.5644, loss: 0.2076 +2023-03-04 02:56:56,567 - mmseg - INFO - Iter [31150/160000] lr: 7.500e-05, eta: 7:13:58, time: 0.174, data_time: 0.007, memory: 52541, decode.loss_ce: 0.2019, decode.acc_seg: 91.5717, loss: 0.2019 +2023-03-04 02:57:04,991 - mmseg - INFO - Iter [31200/160000] lr: 7.500e-05, eta: 7:13:41, time: 0.168, data_time: 0.007, memory: 52541, decode.loss_ce: 0.1978, decode.acc_seg: 91.9702, loss: 0.1978 +2023-03-04 02:57:13,503 - mmseg - INFO - Iter [31250/160000] lr: 7.500e-05, eta: 7:13:24, time: 0.170, data_time: 0.007, memory: 52541, decode.loss_ce: 0.2039, decode.acc_seg: 91.7940, loss: 0.2039 +2023-03-04 02:57:22,133 - mmseg - INFO - Iter [31300/160000] lr: 7.500e-05, eta: 7:13:08, time: 0.173, data_time: 0.007, memory: 52541, decode.loss_ce: 0.1954, decode.acc_seg: 91.8788, loss: 0.1954 +2023-03-04 02:57:30,976 - mmseg - INFO - Iter [31350/160000] lr: 7.500e-05, eta: 7:12:53, time: 0.177, data_time: 0.008, memory: 52541, decode.loss_ce: 0.2034, decode.acc_seg: 91.5882, loss: 0.2034 +2023-03-04 02:57:39,357 - mmseg - INFO - Iter [31400/160000] lr: 7.500e-05, eta: 7:12:36, time: 0.168, data_time: 0.007, memory: 52541, decode.loss_ce: 0.1964, decode.acc_seg: 91.9701, loss: 0.1964 +2023-03-04 02:57:47,748 - mmseg - INFO - Iter [31450/160000] lr: 7.500e-05, eta: 7:12:19, time: 0.168, data_time: 0.008, memory: 52541, decode.loss_ce: 0.1987, decode.acc_seg: 91.8227, loss: 0.1987 +2023-03-04 02:57:56,038 - mmseg - INFO - Iter [31500/160000] lr: 7.500e-05, eta: 7:12:01, time: 0.166, data_time: 0.007, memory: 52541, decode.loss_ce: 0.1962, decode.acc_seg: 91.8420, loss: 0.1962 +2023-03-04 02:58:04,618 - mmseg - INFO - Iter [31550/160000] lr: 7.500e-05, eta: 7:11:45, time: 0.172, data_time: 0.007, memory: 52541, decode.loss_ce: 0.2031, decode.acc_seg: 91.6861, loss: 0.2031 +2023-03-04 02:58:15,493 - mmseg - INFO - Iter [31600/160000] lr: 7.500e-05, eta: 7:11:38, time: 0.217, data_time: 0.055, memory: 52541, decode.loss_ce: 0.2040, decode.acc_seg: 91.6403, loss: 0.2040 +2023-03-04 02:58:24,047 - mmseg - INFO - Iter [31650/160000] lr: 7.500e-05, eta: 7:11:22, time: 0.171, data_time: 0.007, memory: 52541, decode.loss_ce: 0.1978, decode.acc_seg: 91.8948, loss: 0.1978 +2023-03-04 02:58:32,664 - mmseg - INFO - Iter [31700/160000] lr: 7.500e-05, eta: 7:11:06, time: 0.172, data_time: 0.007, memory: 52541, decode.loss_ce: 0.2009, decode.acc_seg: 91.6092, loss: 0.2009 +2023-03-04 02:58:41,569 - mmseg - INFO - Iter [31750/160000] lr: 7.500e-05, eta: 7:10:51, time: 0.178, data_time: 0.008, memory: 52541, decode.loss_ce: 0.2077, decode.acc_seg: 91.6106, loss: 0.2077 +2023-03-04 02:58:49,992 - mmseg - INFO - Iter [31800/160000] lr: 7.500e-05, eta: 7:10:34, time: 0.168, data_time: 0.007, memory: 52541, decode.loss_ce: 0.1968, decode.acc_seg: 91.9950, loss: 0.1968 +2023-03-04 02:58:58,404 - mmseg - INFO - Iter [31850/160000] lr: 7.500e-05, eta: 7:10:18, time: 0.168, data_time: 0.007, memory: 52541, decode.loss_ce: 0.2001, decode.acc_seg: 91.7953, loss: 0.2001 +2023-03-04 02:59:06,678 - mmseg - INFO - Iter [31900/160000] lr: 7.500e-05, eta: 7:10:00, time: 0.165, data_time: 0.007, memory: 52541, decode.loss_ce: 0.1958, decode.acc_seg: 91.9015, loss: 0.1958 +2023-03-04 02:59:15,044 - mmseg - INFO - Iter [31950/160000] lr: 7.500e-05, eta: 7:09:43, time: 0.167, data_time: 0.008, memory: 52541, decode.loss_ce: 0.1967, decode.acc_seg: 91.8699, loss: 0.1967 +2023-03-04 02:59:23,530 - mmseg - INFO - Swap parameters (after train) after iter [32000] +2023-03-04 02:59:23,543 - mmseg - INFO - Saving checkpoint at 32000 iterations +2023-03-04 02:59:24,610 - mmseg - INFO - Exp name: ablation_segformer_mit_b2_segformer_head_unet_fc_small_multi_step_ade_pretrained_freeze_embed_160k_ade20k151_finetune_ema_winit.py +2023-03-04 02:59:24,610 - mmseg - INFO - Iter [32000/160000] lr: 7.500e-05, eta: 7:09:31, time: 0.191, data_time: 0.007, memory: 52541, decode.loss_ce: 0.1977, decode.acc_seg: 91.7983, loss: 0.1977 +2023-03-04 03:10:15,110 - mmseg - INFO - per class results: +2023-03-04 03:10:15,119 - mmseg - INFO - ++---------------------+-------------------------------------------------------------------+ +| Class | IoU 0,10,20,30,40,50,60,70,80,90,99 | ++---------------------+-------------------------------------------------------------------+ +| background | nan,nan,nan,nan,nan,nan,nan,nan,nan,nan,nan | +| wall | 77.26,77.27,77.28,77.29,77.29,77.3,77.3,77.31,77.32,77.32,77.33 | +| building | 81.56,81.56,81.56,81.56,81.56,81.56,81.55,81.55,81.55,81.55,81.55 | +| sky | 94.42,94.42,94.42,94.42,94.42,94.42,94.42,94.42,94.42,94.42,94.42 | +| floor | 81.57,81.56,81.56,81.55,81.55,81.55,81.55,81.54,81.55,81.53,81.53 | +| tree | 74.07,74.06,74.06,74.06,74.05,74.04,74.03,74.03,74.03,74.01,74.01 | +| ceiling | 85.3,85.32,85.33,85.34,85.36,85.37,85.38,85.39,85.4,85.43,85.43 | +| road | 81.87,81.87,81.87,81.87,81.87,81.87,81.87,81.88,81.88,81.88,81.88 | +| bed | 87.76,87.76,87.76,87.75,87.76,87.76,87.77,87.76,87.76,87.77,87.77 | +| windowpane | 60.34,60.36,60.35,60.35,60.34,60.35,60.33,60.34,60.33,60.34,60.33 | +| grass | 67.02,67.02,67.02,67.0,66.99,67.0,66.98,66.96,66.96,66.95,66.95 | +| cabinet | 60.54,60.55,60.56,60.53,60.54,60.53,60.52,60.55,60.56,60.55,60.57 | +| sidewalk | 63.91,63.92,63.94,63.96,63.98,63.99,64.0,64.04,64.04,64.05,64.05 | +| person | 79.37,79.37,79.38,79.37,79.38,79.39,79.4,79.4,79.4,79.4,79.39 | +| earth | 35.69,35.66,35.65,35.69,35.69,35.7,35.72,35.69,35.72,35.73,35.75 | +| door | 45.09,45.05,45.04,45.01,44.98,44.97,44.94,44.92,44.91,44.88,44.87 | +| table | 59.99,60.0,60.01,60.01,59.98,59.97,59.98,59.99,59.98,59.98,59.96 | +| mountain | 56.55,56.52,56.55,56.57,56.56,56.57,56.58,56.57,56.62,56.58,56.61 | +| plant | 50.29,50.29,50.28,50.29,50.26,50.26,50.26,50.23,50.24,50.21,50.2 | +| curtain | 74.87,74.85,74.85,74.86,74.85,74.87,74.85,74.83,74.83,74.83,74.82 | +| chair | 56.0,56.03,56.03,56.03,56.03,56.03,56.03,56.04,56.03,56.05,56.06 | +| car | 81.72,81.71,81.71,81.72,81.73,81.71,81.71,81.73,81.72,81.72,81.72 | +| water | 57.52,57.52,57.51,57.51,57.51,57.51,57.52,57.5,57.49,57.5,57.49 | +| painting | 70.2,70.23,70.2,70.25,70.26,70.28,70.31,70.32,70.33,70.37,70.39 | +| sofa | 64.11,64.1,64.08,64.07,64.1,64.07,64.06,64.07,64.05,64.04,64.04 | +| shelf | 44.1,44.09,44.04,44.07,44.05,44.02,44.02,43.99,44.0,43.97,43.98 | +| house | 42.1,42.0,41.96,41.9,41.85,41.82,41.76,41.65,41.62,41.54,41.47 | +| sea | 60.66,60.64,60.62,60.62,60.61,60.59,60.59,60.58,60.55,60.56,60.55 | +| mirror | 64.89,64.9,64.91,64.93,64.91,64.92,64.92,64.91,64.93,64.91,64.93 | +| rug | 65.17,65.11,65.14,65.05,65.01,64.96,64.92,64.84,64.8,64.65,64.61 | +| field | 30.92,30.92,30.92,30.92,30.93,30.93,30.94,30.95,30.94,30.95,30.95 | +| armchair | 37.06,37.07,37.0,37.02,37.0,36.97,37.01,36.97,36.97,36.97,36.93 | +| seat | 65.89,65.89,65.89,65.88,65.88,65.87,65.86,65.82,65.85,65.84,65.83 | +| fence | 40.77,40.85,40.89,40.97,40.97,41.0,41.04,41.08,41.18,41.12,41.13 | +| desk | 45.9,45.89,45.95,45.95,45.98,45.98,45.99,46.03,46.06,46.1,46.15 | +| rock | 36.74,36.74,36.73,36.75,36.74,36.74,36.74,36.77,36.75,36.76,36.78 | +| wardrobe | 57.03,57.03,57.03,57.03,57.07,57.01,57.07,57.07,57.07,57.06,57.08 | +| lamp | 61.29,61.27,61.3,61.27,61.27,61.27,61.28,61.28,61.27,61.26,61.25 | +| bathtub | 76.52,76.48,76.59,76.5,76.5,76.52,76.54,76.56,76.6,76.56,76.56 | +| railing | 33.66,33.63,33.61,33.61,33.6,33.58,33.58,33.55,33.55,33.51,33.55 | +| cushion | 55.56,55.56,55.51,55.51,55.5,55.5,55.5,55.48,55.51,55.46,55.5 | +| base | 21.05,20.97,21.02,20.96,20.94,21.0,20.98,20.99,20.98,20.91,20.93 | +| box | 23.34,23.33,23.32,23.3,23.32,23.29,23.34,23.27,23.26,23.3,23.27 | +| column | 45.86,45.85,45.83,45.85,45.86,45.84,45.85,45.86,45.85,45.85,45.86 | +| signboard | 37.61,37.59,37.62,37.65,37.63,37.63,37.62,37.64,37.65,37.64,37.64 | +| chest of drawers | 35.64,35.66,35.67,35.69,35.71,35.69,35.67,35.72,35.73,35.75,35.79 | +| counter | 29.87,29.86,29.85,29.87,29.89,29.83,29.9,29.86,29.85,29.87,29.81 | +| sand | 42.02,42.06,42.16,42.16,42.19,42.23,42.21,42.29,42.34,42.33,42.37 | +| sink | 67.5,67.46,67.5,67.47,67.49,67.47,67.47,67.48,67.46,67.47,67.45 | +| skyscraper | 49.46,49.57,49.67,49.67,49.78,49.77,49.8,49.94,49.98,49.98,50.08 | +| fireplace | 74.8,74.84,74.79,74.82,74.8,74.78,74.78,74.79,74.78,74.78,74.76 | +| refrigerator | 74.11,74.17,74.13,74.12,74.14,74.1,74.18,74.15,74.14,74.11,74.08 | +| grandstand | 50.1,49.97,49.98,49.92,49.93,49.8,49.85,49.73,49.73,49.67,49.67 | +| path | 22.1,22.15,22.15,22.16,22.16,22.18,22.16,22.16,22.17,22.16,22.16 | +| stairs | 31.66,31.54,31.54,31.49,31.45,31.41,31.38,31.36,31.4,31.32,31.31 | +| runway | 67.7,67.66,67.64,67.61,67.58,67.57,67.52,67.53,67.51,67.45,67.46 | +| case | 47.2,47.18,47.19,47.14,47.15,47.13,47.12,47.1,47.1,47.1,47.04 | +| pool table | 91.95,91.93,91.95,91.92,91.91,91.91,91.9,91.89,91.88,91.86,91.85 | +| pillow | 60.21,60.22,60.19,60.14,60.21,60.3,60.29,60.2,60.32,60.2,60.37 | +| screen door | 68.6,68.51,68.61,68.49,68.46,68.5,68.53,68.49,68.45,68.37,68.39 | +| stairway | 23.96,23.97,23.92,23.95,23.92,23.94,23.98,23.94,23.94,23.96,23.96 | +| river | 12.22,12.23,12.22,12.23,12.23,12.23,12.23,12.24,12.23,12.24,12.23 | +| bridge | 31.16,31.1,31.09,31.08,31.07,30.98,30.99,30.91,30.93,30.82,30.85 | +| bookcase | 45.26,45.29,45.23,45.34,45.33,45.34,45.39,45.34,45.42,45.39,45.48 | +| blind | 38.82,38.82,38.85,38.78,38.75,38.68,38.7,38.66,38.62,38.6,38.54 | +| coffee table | 53.69,53.74,53.64,53.72,53.65,53.65,53.64,53.59,53.64,53.63,53.63 | +| toilet | 83.68,83.7,83.7,83.74,83.74,83.75,83.74,83.77,83.79,83.8,83.83 | +| flower | 38.99,38.99,39.02,39.02,39.01,39.03,39.02,39.03,39.03,39.04,39.05 | +| book | 44.45,44.47,44.48,44.47,44.48,44.49,44.47,44.48,44.45,44.47,44.47 | +| hill | 15.46,15.5,15.51,15.54,15.56,15.66,15.51,15.64,15.58,15.67,15.66 | +| bench | 42.53,42.53,42.49,42.55,42.54,42.52,42.54,42.49,42.53,42.49,42.56 | +| countertop | 54.62,54.63,54.66,54.63,54.64,54.66,54.64,54.62,54.62,54.62,54.59 | +| stove | 70.83,70.79,70.83,70.76,70.78,70.79,70.78,70.78,70.76,70.72,70.73 | +| palm | 48.19,48.14,48.2,48.22,48.22,48.23,48.25,48.25,48.25,48.25,48.27 | +| kitchen island | 43.15,43.06,43.06,43.0,43.13,43.07,43.07,43.08,42.99,43.07,43.01 | +| computer | 60.31,60.33,60.31,60.32,60.35,60.33,60.35,60.33,60.34,60.35,60.36 | +| swivel chair | 43.03,43.02,43.04,43.01,42.96,42.98,42.94,42.97,42.95,42.89,42.95 | +| boat | 72.17,72.13,72.25,72.24,72.24,72.3,72.31,72.38,72.36,72.41,72.45 | +| bar | 23.74,23.72,23.76,23.76,23.77,23.8,23.76,23.83,23.81,23.85,23.85 | +| arcade machine | 70.08,70.19,70.14,70.36,70.42,70.48,70.49,70.51,70.74,70.67,70.84 | +| hovel | 30.78,30.7,30.53,30.45,30.25,30.21,30.0,29.91,29.98,29.72,29.64 | +| bus | 79.44,79.44,79.37,79.43,79.42,79.39,79.43,79.39,79.42,79.36,79.36 | +| towel | 63.09,63.1,63.07,63.07,63.03,63.05,63.03,63.02,62.98,62.98,63.0 | +| light | 54.96,54.94,54.9,54.82,54.84,54.76,54.64,54.66,54.55,54.5,54.43 | +| truck | 19.24,19.19,19.23,19.23,19.19,19.17,19.08,19.16,19.1,19.13,19.14 | +| tower | 7.61,7.54,7.58,7.59,7.53,7.53,7.46,7.39,7.42,7.33,7.31 | +| chandelier | 64.38,64.34,64.38,64.37,64.34,64.35,64.34,64.28,64.3,64.3,64.3 | +| awning | 23.92,23.88,23.97,23.96,23.9,23.99,23.91,23.95,23.96,23.9,24.0 | +| streetlight | 26.82,26.71,26.74,26.79,26.86,26.85,26.9,26.93,26.89,26.89,26.94 | +| booth | 45.62,45.87,45.82,45.87,46.01,46.0,46.2,46.21,46.2,46.32,46.38 | +| television receiver | 63.12,63.1,63.11,63.04,63.04,62.97,63.0,62.98,62.96,62.93,62.92 | +| airplane | 58.96,59.03,59.03,58.98,59.04,59.11,59.12,59.14,59.17,59.17,59.23 | +| dirt track | 19.49,19.54,19.59,19.28,19.46,19.4,19.55,19.57,19.85,20.01,19.04 | +| apparel | 33.21,33.19,33.18,33.13,33.18,33.08,33.14,33.09,33.1,33.09,33.04 | +| pole | 19.39,19.34,19.28,19.31,19.24,19.19,19.21,19.11,19.12,19.15,19.15 | +| land | 3.11,3.03,3.09,3.03,3.07,3.06,2.96,3.06,3.03,3.01,3.02 | +| bannister | 12.6,12.68,12.54,12.73,12.65,12.63,12.68,12.73,12.73,12.68,12.8 | +| escalator | 24.13,24.16,24.12,24.15,24.17,24.19,24.17,24.2,24.22,24.2,24.22 | +| ottoman | 44.29,44.25,44.24,44.22,44.23,44.2,44.24,44.12,44.12,44.1,44.05 | +| bottle | 35.06,35.13,35.1,35.1,35.05,35.09,35.1,35.09,35.08,35.06,35.04 | +| buffet | 39.36,39.3,39.42,39.32,39.31,39.5,39.26,39.36,39.33,39.44,39.46 | +| poster | 23.09,23.01,23.05,23.11,23.12,23.14,23.11,23.11,23.17,23.18,23.23 | +| stage | 14.59,14.5,14.56,14.5,14.43,14.43,14.36,14.36,14.29,14.28,14.22 | +| van | 39.07,39.03,39.08,39.08,39.05,39.07,39.03,39.05,39.03,39.03,39.08 | +| ship | 79.99,80.05,80.05,80.09,80.07,80.05,80.14,80.11,80.1,80.12,80.14 | +| fountain | 20.89,20.89,20.96,21.03,21.22,21.37,21.44,21.46,21.48,21.63,21.54 | +| conveyer belt | 83.7,83.73,83.67,83.69,83.64,83.66,83.7,83.65,83.67,83.68,83.7 | +| canopy | 25.75,25.8,25.82,25.81,25.82,25.85,25.85,25.94,25.83,25.93,25.88 | +| washer | 76.5,76.52,76.53,76.64,76.57,76.74,76.64,76.68,76.8,76.83,76.88 | +| plaything | 20.9,20.88,20.89,20.91,20.89,20.89,20.9,20.87,20.87,20.86,20.87 | +| swimming pool | 73.94,73.84,74.07,73.8,73.75,73.81,73.76,73.79,73.64,73.69,73.94 | +| stool | 44.01,44.02,44.01,44.02,44.06,44.11,44.21,44.08,44.19,44.22,44.23 | +| barrel | 40.67,40.66,40.64,40.87,40.85,40.75,41.06,41.09,41.16,41.26,41.39 | +| basket | 23.6,23.68,23.7,23.65,23.74,23.76,23.76,23.76,23.78,23.81,23.81 | +| waterfall | 48.08,48.06,48.12,48.09,48.18,48.14,48.24,48.11,48.15,48.13,48.14 | +| tent | 94.86,94.86,94.87,94.85,94.88,94.88,94.9,94.89,94.9,94.91,94.89 | +| bag | 14.59,14.68,14.68,14.69,14.72,14.79,14.79,14.84,14.91,14.93,15.0 | +| minibike | 62.91,62.9,62.87,62.78,62.8,62.78,62.7,62.75,62.66,62.64,62.63 | +| cradle | 83.03,83.04,83.09,83.13,83.16,83.16,83.13,83.23,83.23,83.23,83.27 | +| oven | 45.26,45.18,45.18,45.16,45.11,45.07,44.99,44.99,44.95,44.93,44.9 | +| ball | 44.9,45.02,45.09,45.14,45.27,45.14,45.19,45.28,45.3,45.33,45.28 | +| food | 55.11,54.99,55.05,55.06,55.05,54.93,54.99,54.97,54.95,54.95,54.82 | +| step | 5.31,5.24,5.16,5.17,5.11,5.13,5.02,5.08,5.04,5.0,5.03 | +| tank | 51.74,51.7,51.7,51.59,51.63,51.54,51.61,51.47,51.47,51.44,51.32 | +| trade name | 28.5,28.51,28.5,28.44,28.39,28.5,28.28,28.43,28.37,28.35,28.37 | +| microwave | 71.15,71.09,71.05,71.05,71.04,70.99,70.99,70.94,70.91,70.9,70.86 | +| pot | 30.29,30.26,30.25,30.24,30.26,30.28,30.23,30.28,30.3,30.28,30.3 | +| animal | 54.84,54.88,54.92,54.91,54.92,54.94,54.89,54.94,54.91,54.95,54.96 | +| bicycle | 53.91,53.86,53.9,53.88,54.01,53.84,53.96,53.92,53.91,53.95,53.94 | +| lake | 56.9,56.86,56.87,56.83,56.87,56.83,56.85,56.87,56.83,56.86,56.82 | +| dishwasher | 64.35,64.35,64.29,64.26,64.26,64.34,64.46,64.29,64.46,64.32,64.4 | +| screen | 66.82,66.73,66.75,66.71,66.67,66.64,66.58,66.61,66.56,66.56,66.53 | +| blanket | 17.06,17.07,17.15,17.13,17.15,17.16,17.1,17.2,17.23,17.22,17.28 | +| sculpture | 56.28,56.24,56.03,56.01,55.94,55.85,55.78,55.75,55.72,55.74,55.75 | +| hood | 58.04,57.98,58.02,57.93,58.0,57.96,58.03,57.95,57.89,58.01,57.9 | +| sconce | 42.58,42.57,42.56,42.61,42.61,42.65,42.67,42.69,42.67,42.73,42.72 | +| vase | 36.63,36.59,36.61,36.61,36.58,36.56,36.62,36.62,36.61,36.58,36.61 | +| traffic light | 32.9,32.93,32.96,32.96,32.98,32.95,32.99,33.0,32.97,33.0,33.0 | +| tray | 6.53,6.49,6.56,6.54,6.54,6.59,6.54,6.59,6.62,6.6,6.65 | +| ashcan | 41.81,41.76,41.84,41.72,41.7,41.75,41.77,41.72,41.71,41.68,41.69 | +| fan | 57.72,57.84,57.75,57.73,57.71,57.74,57.7,57.76,57.7,57.64,57.63 | +| pier | 53.93,54.08,54.12,54.09,54.24,54.39,54.36,54.54,54.51,54.62,54.65 | +| crt screen | 10.1,10.15,10.17,10.2,10.21,10.28,10.26,10.33,10.32,10.38,10.39 | +| plate | 53.13,53.11,53.07,53.05,53.0,52.98,53.07,52.98,52.96,52.95,52.9 | +| monitor | 17.46,17.44,17.5,17.51,17.57,17.6,17.66,17.64,17.64,17.7,17.7 | +| bulletin board | 38.58,38.72,38.73,38.87,38.94,39.18,39.25,39.16,39.42,39.4,39.48 | +| shower | 1.36,1.34,1.38,1.31,1.29,1.31,1.27,1.28,1.22,1.2,1.21 | +| radiator | 60.59,60.56,60.55,60.55,60.46,60.61,60.44,60.46,60.55,60.57,60.62 | +| glass | 13.33,13.36,13.33,13.36,13.36,13.33,13.32,13.34,13.35,13.35,13.34 | +| clock | 35.07,34.98,35.06,34.9,34.85,34.91,35.11,35.1,35.01,34.96,35.04 | +| flag | 34.95,34.92,34.79,34.87,34.75,34.69,34.56,34.53,34.42,34.35,34.36 | ++---------------------+-------------------------------------------------------------------+ +2023-03-04 03:10:15,119 - mmseg - INFO - Summary: +2023-03-04 03:10:15,119 - mmseg - INFO - ++-------------------------------------------------------------------+ +| mIoU 0,10,20,30,40,50,60,70,80,90,99 | ++-------------------------------------------------------------------+ +| 48.39,48.38,48.39,48.38,48.38,48.39,48.39,48.38,48.39,48.38,48.39 | ++-------------------------------------------------------------------+ +2023-03-04 03:10:15,154 - mmseg - INFO - The previous best checkpoint /mnt/petrelfs/laizeqiang/mmseg-baseline/work_dirs2/ablation_segformer_mit_b2_segformer_head_unet_fc_small_multi_step_ade_pretrained_freeze_embed_160k_ade20k151_finetune_ema_winit/best_mIoU_iter_16000.pth was removed +2023-03-04 03:10:16,174 - mmseg - INFO - Now best checkpoint is saved as best_mIoU_iter_32000.pth. +2023-03-04 03:10:16,174 - mmseg - INFO - Best mIoU is 0.4839 at 32000 iter. +2023-03-04 03:10:16,175 - mmseg - INFO - Exp name: ablation_segformer_mit_b2_segformer_head_unet_fc_small_multi_step_ade_pretrained_freeze_embed_160k_ade20k151_finetune_ema_winit.py +2023-03-04 03:10:16,175 - mmseg - INFO - Iter(val) [250] mIoU: [0.4839, 0.4838, 0.4839, 0.4838, 0.4838, 0.4839, 0.4839, 0.4838, 0.4839, 0.4838, 0.4839], copy_paste: 48.39,48.38,48.39,48.38,48.38,48.39,48.39,48.38,48.39,48.38,48.39 +2023-03-04 03:10:16,182 - mmseg - INFO - Swap parameters (before train) before iter [32001] +2023-03-04 03:10:24,951 - mmseg - INFO - Iter [32050/160000] lr: 7.500e-05, eta: 7:52:37, time: 13.207, data_time: 13.040, memory: 52541, decode.loss_ce: 0.1909, decode.acc_seg: 92.1183, loss: 0.1909 +2023-03-04 03:10:33,559 - mmseg - INFO - Iter [32100/160000] lr: 7.500e-05, eta: 7:52:16, time: 0.172, data_time: 0.007, memory: 52541, decode.loss_ce: 0.1950, decode.acc_seg: 91.8486, loss: 0.1950 +2023-03-04 03:10:41,926 - mmseg - INFO - Iter [32150/160000] lr: 7.500e-05, eta: 7:51:54, time: 0.167, data_time: 0.007, memory: 52541, decode.loss_ce: 0.1918, decode.acc_seg: 92.1230, loss: 0.1918 +2023-03-04 03:10:52,769 - mmseg - INFO - Iter [32200/160000] lr: 7.500e-05, eta: 7:51:42, time: 0.217, data_time: 0.054, memory: 52541, decode.loss_ce: 0.1953, decode.acc_seg: 91.9224, loss: 0.1953 +2023-03-04 03:11:01,293 - mmseg - INFO - Iter [32250/160000] lr: 7.500e-05, eta: 7:51:21, time: 0.170, data_time: 0.007, memory: 52541, decode.loss_ce: 0.1976, decode.acc_seg: 91.7448, loss: 0.1976 +2023-03-04 03:11:09,764 - mmseg - INFO - Iter [32300/160000] lr: 7.500e-05, eta: 7:51:00, time: 0.170, data_time: 0.007, memory: 52541, decode.loss_ce: 0.2015, decode.acc_seg: 91.7784, loss: 0.2015 +2023-03-04 03:11:18,684 - mmseg - INFO - Iter [32350/160000] lr: 7.500e-05, eta: 7:50:40, time: 0.178, data_time: 0.008, memory: 52541, decode.loss_ce: 0.1970, decode.acc_seg: 91.9265, loss: 0.1970 +2023-03-04 03:11:27,385 - mmseg - INFO - Iter [32400/160000] lr: 7.500e-05, eta: 7:50:20, time: 0.174, data_time: 0.007, memory: 52541, decode.loss_ce: 0.2023, decode.acc_seg: 91.7350, loss: 0.2023 +2023-03-04 03:11:36,124 - mmseg - INFO - Iter [32450/160000] lr: 7.500e-05, eta: 7:50:00, time: 0.175, data_time: 0.007, memory: 52541, decode.loss_ce: 0.2006, decode.acc_seg: 91.9484, loss: 0.2006 +2023-03-04 03:11:44,905 - mmseg - INFO - Iter [32500/160000] lr: 7.500e-05, eta: 7:49:40, time: 0.176, data_time: 0.008, memory: 52541, decode.loss_ce: 0.1994, decode.acc_seg: 91.8461, loss: 0.1994 +2023-03-04 03:11:53,169 - mmseg - INFO - Iter [32550/160000] lr: 7.500e-05, eta: 7:49:18, time: 0.165, data_time: 0.007, memory: 52541, decode.loss_ce: 0.1984, decode.acc_seg: 91.9733, loss: 0.1984 +2023-03-04 03:12:01,646 - mmseg - INFO - Iter [32600/160000] lr: 7.500e-05, eta: 7:48:57, time: 0.170, data_time: 0.008, memory: 52541, decode.loss_ce: 0.2000, decode.acc_seg: 91.7593, loss: 0.2000 +2023-03-04 03:12:10,299 - mmseg - INFO - Iter [32650/160000] lr: 7.500e-05, eta: 7:48:36, time: 0.173, data_time: 0.007, memory: 52541, decode.loss_ce: 0.1985, decode.acc_seg: 91.8406, loss: 0.1985 +2023-03-04 03:12:19,142 - mmseg - INFO - Iter [32700/160000] lr: 7.500e-05, eta: 7:48:17, time: 0.177, data_time: 0.007, memory: 52541, decode.loss_ce: 0.2037, decode.acc_seg: 91.6816, loss: 0.2037 +2023-03-04 03:12:27,395 - mmseg - INFO - Iter [32750/160000] lr: 7.500e-05, eta: 7:47:55, time: 0.165, data_time: 0.007, memory: 52541, decode.loss_ce: 0.2037, decode.acc_seg: 91.6160, loss: 0.2037 +2023-03-04 03:12:35,756 - mmseg - INFO - Iter [32800/160000] lr: 7.500e-05, eta: 7:47:34, time: 0.167, data_time: 0.007, memory: 52541, decode.loss_ce: 0.2014, decode.acc_seg: 91.6153, loss: 0.2014 +2023-03-04 03:12:46,722 - mmseg - INFO - Iter [32850/160000] lr: 7.500e-05, eta: 7:47:22, time: 0.219, data_time: 0.052, memory: 52541, decode.loss_ce: 0.2117, decode.acc_seg: 91.3353, loss: 0.2117 +2023-03-04 03:12:55,491 - mmseg - INFO - Iter [32900/160000] lr: 7.500e-05, eta: 7:47:03, time: 0.176, data_time: 0.007, memory: 52541, decode.loss_ce: 0.2056, decode.acc_seg: 91.6247, loss: 0.2056 +2023-03-04 03:13:04,192 - mmseg - INFO - Iter [32950/160000] lr: 7.500e-05, eta: 7:46:43, time: 0.174, data_time: 0.008, memory: 52541, decode.loss_ce: 0.2023, decode.acc_seg: 91.6402, loss: 0.2023 +2023-03-04 03:13:12,925 - mmseg - INFO - Exp name: ablation_segformer_mit_b2_segformer_head_unet_fc_small_multi_step_ade_pretrained_freeze_embed_160k_ade20k151_finetune_ema_winit.py +2023-03-04 03:13:12,925 - mmseg - INFO - Iter [33000/160000] lr: 7.500e-05, eta: 7:46:23, time: 0.175, data_time: 0.007, memory: 52541, decode.loss_ce: 0.2017, decode.acc_seg: 91.8044, loss: 0.2017 +2023-03-04 03:13:21,460 - mmseg - INFO - Iter [33050/160000] lr: 7.500e-05, eta: 7:46:02, time: 0.171, data_time: 0.007, memory: 52541, decode.loss_ce: 0.2051, decode.acc_seg: 91.6145, loss: 0.2051 +2023-03-04 03:13:29,870 - mmseg - INFO - Iter [33100/160000] lr: 7.500e-05, eta: 7:45:41, time: 0.168, data_time: 0.007, memory: 52541, decode.loss_ce: 0.2006, decode.acc_seg: 91.7101, loss: 0.2006 +2023-03-04 03:13:38,394 - mmseg - INFO - Iter [33150/160000] lr: 7.500e-05, eta: 7:45:21, time: 0.170, data_time: 0.007, memory: 52541, decode.loss_ce: 0.2120, decode.acc_seg: 91.4166, loss: 0.2120 +2023-03-04 03:13:46,894 - mmseg - INFO - Iter [33200/160000] lr: 7.500e-05, eta: 7:45:00, time: 0.170, data_time: 0.007, memory: 52541, decode.loss_ce: 0.2035, decode.acc_seg: 91.6495, loss: 0.2035 +2023-03-04 03:13:55,450 - mmseg - INFO - Iter [33250/160000] lr: 7.500e-05, eta: 7:44:40, time: 0.171, data_time: 0.007, memory: 52541, decode.loss_ce: 0.2066, decode.acc_seg: 91.4050, loss: 0.2066 +2023-03-04 03:14:03,698 - mmseg - INFO - Iter [33300/160000] lr: 7.500e-05, eta: 7:44:18, time: 0.165, data_time: 0.008, memory: 52541, decode.loss_ce: 0.1943, decode.acc_seg: 92.1684, loss: 0.1943 +2023-03-04 03:14:12,526 - mmseg - INFO - Iter [33350/160000] lr: 7.500e-05, eta: 7:43:59, time: 0.177, data_time: 0.008, memory: 52541, decode.loss_ce: 0.1997, decode.acc_seg: 91.8799, loss: 0.1997 +2023-03-04 03:14:21,250 - mmseg - INFO - Iter [33400/160000] lr: 7.500e-05, eta: 7:43:40, time: 0.174, data_time: 0.007, memory: 52541, decode.loss_ce: 0.1934, decode.acc_seg: 91.8962, loss: 0.1934 +2023-03-04 03:14:32,270 - mmseg - INFO - Iter [33450/160000] lr: 7.500e-05, eta: 7:43:29, time: 0.220, data_time: 0.055, memory: 52541, decode.loss_ce: 0.2017, decode.acc_seg: 91.6870, loss: 0.2017 +2023-03-04 03:14:40,820 - mmseg - INFO - Iter [33500/160000] lr: 7.500e-05, eta: 7:43:08, time: 0.171, data_time: 0.007, memory: 52541, decode.loss_ce: 0.2041, decode.acc_seg: 91.7945, loss: 0.2041 +2023-03-04 03:14:49,327 - mmseg - INFO - Iter [33550/160000] lr: 7.500e-05, eta: 7:42:48, time: 0.170, data_time: 0.008, memory: 52541, decode.loss_ce: 0.2029, decode.acc_seg: 91.7282, loss: 0.2029 +2023-03-04 03:14:58,168 - mmseg - INFO - Iter [33600/160000] lr: 7.500e-05, eta: 7:42:29, time: 0.177, data_time: 0.008, memory: 52541, decode.loss_ce: 0.2018, decode.acc_seg: 91.8189, loss: 0.2018 +2023-03-04 03:15:06,723 - mmseg - INFO - Iter [33650/160000] lr: 7.500e-05, eta: 7:42:09, time: 0.171, data_time: 0.007, memory: 52541, decode.loss_ce: 0.2050, decode.acc_seg: 91.6433, loss: 0.2050 +2023-03-04 03:15:15,267 - mmseg - INFO - Iter [33700/160000] lr: 7.500e-05, eta: 7:41:49, time: 0.171, data_time: 0.007, memory: 52541, decode.loss_ce: 0.2044, decode.acc_seg: 91.7954, loss: 0.2044 +2023-03-04 03:15:24,104 - mmseg - INFO - Iter [33750/160000] lr: 7.500e-05, eta: 7:41:30, time: 0.177, data_time: 0.007, memory: 52541, decode.loss_ce: 0.1967, decode.acc_seg: 91.8736, loss: 0.1967 +2023-03-04 03:15:32,302 - mmseg - INFO - Iter [33800/160000] lr: 7.500e-05, eta: 7:41:09, time: 0.164, data_time: 0.007, memory: 52541, decode.loss_ce: 0.1982, decode.acc_seg: 91.8763, loss: 0.1982 +2023-03-04 03:15:41,164 - mmseg - INFO - Iter [33850/160000] lr: 7.500e-05, eta: 7:40:50, time: 0.177, data_time: 0.007, memory: 52541, decode.loss_ce: 0.2097, decode.acc_seg: 91.5066, loss: 0.2097 +2023-03-04 03:15:50,159 - mmseg - INFO - Iter [33900/160000] lr: 7.500e-05, eta: 7:40:32, time: 0.180, data_time: 0.007, memory: 52541, decode.loss_ce: 0.2027, decode.acc_seg: 91.8378, loss: 0.2027 +2023-03-04 03:15:58,945 - mmseg - INFO - Iter [33950/160000] lr: 7.500e-05, eta: 7:40:13, time: 0.176, data_time: 0.007, memory: 52541, decode.loss_ce: 0.2003, decode.acc_seg: 91.8118, loss: 0.2003 +2023-03-04 03:16:07,363 - mmseg - INFO - Exp name: ablation_segformer_mit_b2_segformer_head_unet_fc_small_multi_step_ade_pretrained_freeze_embed_160k_ade20k151_finetune_ema_winit.py +2023-03-04 03:16:07,363 - mmseg - INFO - Iter [34000/160000] lr: 7.500e-05, eta: 7:39:52, time: 0.168, data_time: 0.008, memory: 52541, decode.loss_ce: 0.1952, decode.acc_seg: 91.9362, loss: 0.1952 +2023-03-04 03:16:15,544 - mmseg - INFO - Iter [34050/160000] lr: 7.500e-05, eta: 7:39:31, time: 0.164, data_time: 0.007, memory: 52541, decode.loss_ce: 0.2054, decode.acc_seg: 91.6604, loss: 0.2054 +2023-03-04 03:16:26,336 - mmseg - INFO - Iter [34100/160000] lr: 7.500e-05, eta: 7:39:20, time: 0.216, data_time: 0.054, memory: 52541, decode.loss_ce: 0.2003, decode.acc_seg: 91.9144, loss: 0.2003 +2023-03-04 03:16:34,755 - mmseg - INFO - Iter [34150/160000] lr: 7.500e-05, eta: 7:38:59, time: 0.168, data_time: 0.007, memory: 52541, decode.loss_ce: 0.1988, decode.acc_seg: 91.8063, loss: 0.1988 +2023-03-04 03:16:43,451 - mmseg - INFO - Iter [34200/160000] lr: 7.500e-05, eta: 7:38:40, time: 0.174, data_time: 0.007, memory: 52541, decode.loss_ce: 0.1987, decode.acc_seg: 91.8521, loss: 0.1987 +2023-03-04 03:16:52,197 - mmseg - INFO - Iter [34250/160000] lr: 7.500e-05, eta: 7:38:21, time: 0.175, data_time: 0.007, memory: 52541, decode.loss_ce: 0.1988, decode.acc_seg: 91.8606, loss: 0.1988 +2023-03-04 03:17:00,729 - mmseg - INFO - Iter [34300/160000] lr: 7.500e-05, eta: 7:38:01, time: 0.171, data_time: 0.007, memory: 52541, decode.loss_ce: 0.2001, decode.acc_seg: 91.6690, loss: 0.2001 +2023-03-04 03:17:09,194 - mmseg - INFO - Iter [34350/160000] lr: 7.500e-05, eta: 7:37:41, time: 0.169, data_time: 0.007, memory: 52541, decode.loss_ce: 0.1964, decode.acc_seg: 91.9272, loss: 0.1964 +2023-03-04 03:17:17,412 - mmseg - INFO - Iter [34400/160000] lr: 7.500e-05, eta: 7:37:21, time: 0.164, data_time: 0.007, memory: 52541, decode.loss_ce: 0.1998, decode.acc_seg: 91.7989, loss: 0.1998 +2023-03-04 03:17:26,152 - mmseg - INFO - Iter [34450/160000] lr: 7.500e-05, eta: 7:37:02, time: 0.175, data_time: 0.007, memory: 52541, decode.loss_ce: 0.2054, decode.acc_seg: 91.5940, loss: 0.2054 +2023-03-04 03:17:34,749 - mmseg - INFO - Iter [34500/160000] lr: 7.500e-05, eta: 7:36:42, time: 0.172, data_time: 0.007, memory: 52541, decode.loss_ce: 0.2053, decode.acc_seg: 91.6578, loss: 0.2053 +2023-03-04 03:17:43,026 - mmseg - INFO - Iter [34550/160000] lr: 7.500e-05, eta: 7:36:22, time: 0.165, data_time: 0.007, memory: 52541, decode.loss_ce: 0.2070, decode.acc_seg: 91.6230, loss: 0.2070 +2023-03-04 03:17:51,817 - mmseg - INFO - Iter [34600/160000] lr: 7.500e-05, eta: 7:36:03, time: 0.176, data_time: 0.007, memory: 52541, decode.loss_ce: 0.2051, decode.acc_seg: 91.6243, loss: 0.2051 +2023-03-04 03:18:01,093 - mmseg - INFO - Iter [34650/160000] lr: 7.500e-05, eta: 7:35:46, time: 0.186, data_time: 0.009, memory: 52541, decode.loss_ce: 0.2059, decode.acc_seg: 91.6121, loss: 0.2059 +2023-03-04 03:18:10,072 - mmseg - INFO - Iter [34700/160000] lr: 7.500e-05, eta: 7:35:29, time: 0.180, data_time: 0.007, memory: 52541, decode.loss_ce: 0.1967, decode.acc_seg: 91.8144, loss: 0.1967 +2023-03-04 03:18:21,029 - mmseg - INFO - Iter [34750/160000] lr: 7.500e-05, eta: 7:35:18, time: 0.219, data_time: 0.054, memory: 52541, decode.loss_ce: 0.1959, decode.acc_seg: 91.9449, loss: 0.1959 +2023-03-04 03:18:29,708 - mmseg - INFO - Iter [34800/160000] lr: 7.500e-05, eta: 7:34:59, time: 0.174, data_time: 0.007, memory: 52541, decode.loss_ce: 0.1997, decode.acc_seg: 91.8730, loss: 0.1997 +2023-03-04 03:18:38,558 - mmseg - INFO - Iter [34850/160000] lr: 7.500e-05, eta: 7:34:41, time: 0.177, data_time: 0.007, memory: 52541, decode.loss_ce: 0.1970, decode.acc_seg: 91.8890, loss: 0.1970 +2023-03-04 03:18:47,144 - mmseg - INFO - Iter [34900/160000] lr: 7.500e-05, eta: 7:34:21, time: 0.172, data_time: 0.007, memory: 52541, decode.loss_ce: 0.2024, decode.acc_seg: 91.6188, loss: 0.2024 +2023-03-04 03:18:55,526 - mmseg - INFO - Iter [34950/160000] lr: 7.500e-05, eta: 7:34:02, time: 0.168, data_time: 0.007, memory: 52541, decode.loss_ce: 0.1911, decode.acc_seg: 91.9384, loss: 0.1911 +2023-03-04 03:19:03,868 - mmseg - INFO - Exp name: ablation_segformer_mit_b2_segformer_head_unet_fc_small_multi_step_ade_pretrained_freeze_embed_160k_ade20k151_finetune_ema_winit.py +2023-03-04 03:19:03,868 - mmseg - INFO - Iter [35000/160000] lr: 7.500e-05, eta: 7:33:42, time: 0.167, data_time: 0.007, memory: 52541, decode.loss_ce: 0.1906, decode.acc_seg: 92.2450, loss: 0.1906 +2023-03-04 03:19:12,488 - mmseg - INFO - Iter [35050/160000] lr: 7.500e-05, eta: 7:33:23, time: 0.172, data_time: 0.007, memory: 52541, decode.loss_ce: 0.1977, decode.acc_seg: 91.8848, loss: 0.1977 +2023-03-04 03:19:21,219 - mmseg - INFO - Iter [35100/160000] lr: 7.500e-05, eta: 7:33:04, time: 0.174, data_time: 0.007, memory: 52541, decode.loss_ce: 0.2046, decode.acc_seg: 91.6391, loss: 0.2046 +2023-03-04 03:19:30,181 - mmseg - INFO - Iter [35150/160000] lr: 7.500e-05, eta: 7:32:46, time: 0.179, data_time: 0.007, memory: 52541, decode.loss_ce: 0.2025, decode.acc_seg: 91.5564, loss: 0.2025 +2023-03-04 03:19:38,634 - mmseg - INFO - Iter [35200/160000] lr: 7.500e-05, eta: 7:32:27, time: 0.169, data_time: 0.007, memory: 52541, decode.loss_ce: 0.2097, decode.acc_seg: 91.5507, loss: 0.2097 +2023-03-04 03:19:47,458 - mmseg - INFO - Iter [35250/160000] lr: 7.500e-05, eta: 7:32:09, time: 0.177, data_time: 0.007, memory: 52541, decode.loss_ce: 0.1999, decode.acc_seg: 91.9566, loss: 0.1999 +2023-03-04 03:19:55,772 - mmseg - INFO - Iter [35300/160000] lr: 7.500e-05, eta: 7:31:49, time: 0.166, data_time: 0.007, memory: 52541, decode.loss_ce: 0.2043, decode.acc_seg: 91.6690, loss: 0.2043 +2023-03-04 03:20:06,708 - mmseg - INFO - Iter [35350/160000] lr: 7.500e-05, eta: 7:31:38, time: 0.219, data_time: 0.053, memory: 52541, decode.loss_ce: 0.2051, decode.acc_seg: 91.6079, loss: 0.2051 +2023-03-04 03:20:15,070 - mmseg - INFO - Iter [35400/160000] lr: 7.500e-05, eta: 7:31:18, time: 0.167, data_time: 0.007, memory: 52541, decode.loss_ce: 0.2109, decode.acc_seg: 91.4012, loss: 0.2109 +2023-03-04 03:20:23,897 - mmseg - INFO - Iter [35450/160000] lr: 7.500e-05, eta: 7:31:00, time: 0.176, data_time: 0.007, memory: 52541, decode.loss_ce: 0.1987, decode.acc_seg: 91.7926, loss: 0.1987 +2023-03-04 03:20:32,465 - mmseg - INFO - Iter [35500/160000] lr: 7.500e-05, eta: 7:30:42, time: 0.172, data_time: 0.007, memory: 52541, decode.loss_ce: 0.2022, decode.acc_seg: 91.6003, loss: 0.2022 +2023-03-04 03:20:41,584 - mmseg - INFO - Iter [35550/160000] lr: 7.500e-05, eta: 7:30:25, time: 0.182, data_time: 0.009, memory: 52541, decode.loss_ce: 0.1988, decode.acc_seg: 91.8884, loss: 0.1988 +2023-03-04 03:20:50,232 - mmseg - INFO - Iter [35600/160000] lr: 7.500e-05, eta: 7:30:06, time: 0.173, data_time: 0.007, memory: 52541, decode.loss_ce: 0.2012, decode.acc_seg: 91.5621, loss: 0.2012 +2023-03-04 03:20:58,976 - mmseg - INFO - Iter [35650/160000] lr: 7.500e-05, eta: 7:29:48, time: 0.175, data_time: 0.008, memory: 52541, decode.loss_ce: 0.2063, decode.acc_seg: 91.6069, loss: 0.2063 +2023-03-04 03:21:07,925 - mmseg - INFO - Iter [35700/160000] lr: 7.500e-05, eta: 7:29:30, time: 0.179, data_time: 0.008, memory: 52541, decode.loss_ce: 0.2040, decode.acc_seg: 91.6905, loss: 0.2040 +2023-03-04 03:21:16,555 - mmseg - INFO - Iter [35750/160000] lr: 7.500e-05, eta: 7:29:12, time: 0.172, data_time: 0.007, memory: 52541, decode.loss_ce: 0.1993, decode.acc_seg: 91.8997, loss: 0.1993 +2023-03-04 03:21:24,868 - mmseg - INFO - Iter [35800/160000] lr: 7.500e-05, eta: 7:28:52, time: 0.166, data_time: 0.007, memory: 52541, decode.loss_ce: 0.1966, decode.acc_seg: 91.9584, loss: 0.1966 +2023-03-04 03:21:33,634 - mmseg - INFO - Iter [35850/160000] lr: 7.500e-05, eta: 7:28:34, time: 0.175, data_time: 0.007, memory: 52541, decode.loss_ce: 0.1972, decode.acc_seg: 92.0359, loss: 0.1972 +2023-03-04 03:21:42,094 - mmseg - INFO - Iter [35900/160000] lr: 7.500e-05, eta: 7:28:15, time: 0.169, data_time: 0.007, memory: 52541, decode.loss_ce: 0.2059, decode.acc_seg: 91.5243, loss: 0.2059 +2023-03-04 03:21:50,446 - mmseg - INFO - Iter [35950/160000] lr: 7.500e-05, eta: 7:27:56, time: 0.167, data_time: 0.008, memory: 52541, decode.loss_ce: 0.1952, decode.acc_seg: 91.9813, loss: 0.1952 +2023-03-04 03:22:01,198 - mmseg - INFO - Exp name: ablation_segformer_mit_b2_segformer_head_unet_fc_small_multi_step_ade_pretrained_freeze_embed_160k_ade20k151_finetune_ema_winit.py +2023-03-04 03:22:01,199 - mmseg - INFO - Iter [36000/160000] lr: 7.500e-05, eta: 7:27:44, time: 0.215, data_time: 0.056, memory: 52541, decode.loss_ce: 0.2056, decode.acc_seg: 91.7430, loss: 0.2056 +2023-03-04 03:22:10,059 - mmseg - INFO - Iter [36050/160000] lr: 7.500e-05, eta: 7:27:27, time: 0.177, data_time: 0.008, memory: 52541, decode.loss_ce: 0.1962, decode.acc_seg: 91.8697, loss: 0.1962 +2023-03-04 03:22:18,718 - mmseg - INFO - Iter [36100/160000] lr: 7.500e-05, eta: 7:27:09, time: 0.173, data_time: 0.008, memory: 52541, decode.loss_ce: 0.2012, decode.acc_seg: 91.8705, loss: 0.2012 +2023-03-04 03:22:27,463 - mmseg - INFO - Iter [36150/160000] lr: 7.500e-05, eta: 7:26:51, time: 0.175, data_time: 0.007, memory: 52541, decode.loss_ce: 0.1952, decode.acc_seg: 92.0788, loss: 0.1952 +2023-03-04 03:22:36,040 - mmseg - INFO - Iter [36200/160000] lr: 7.500e-05, eta: 7:26:32, time: 0.172, data_time: 0.007, memory: 52541, decode.loss_ce: 0.2015, decode.acc_seg: 91.5823, loss: 0.2015 +2023-03-04 03:22:44,874 - mmseg - INFO - Iter [36250/160000] lr: 7.500e-05, eta: 7:26:14, time: 0.177, data_time: 0.007, memory: 52541, decode.loss_ce: 0.2180, decode.acc_seg: 91.1719, loss: 0.2180 +2023-03-04 03:22:53,354 - mmseg - INFO - Iter [36300/160000] lr: 7.500e-05, eta: 7:25:56, time: 0.170, data_time: 0.008, memory: 52541, decode.loss_ce: 0.2040, decode.acc_seg: 91.5807, loss: 0.2040 +2023-03-04 03:23:01,734 - mmseg - INFO - Iter [36350/160000] lr: 7.500e-05, eta: 7:25:37, time: 0.168, data_time: 0.007, memory: 52541, decode.loss_ce: 0.1987, decode.acc_seg: 91.9284, loss: 0.1987 +2023-03-04 03:23:10,196 - mmseg - INFO - Iter [36400/160000] lr: 7.500e-05, eta: 7:25:18, time: 0.169, data_time: 0.007, memory: 52541, decode.loss_ce: 0.2115, decode.acc_seg: 91.4677, loss: 0.2115 +2023-03-04 03:23:18,528 - mmseg - INFO - Iter [36450/160000] lr: 7.500e-05, eta: 7:24:59, time: 0.167, data_time: 0.007, memory: 52541, decode.loss_ce: 0.2063, decode.acc_seg: 91.5829, loss: 0.2063 +2023-03-04 03:23:27,039 - mmseg - INFO - Iter [36500/160000] lr: 7.500e-05, eta: 7:24:40, time: 0.170, data_time: 0.007, memory: 52541, decode.loss_ce: 0.2108, decode.acc_seg: 91.4109, loss: 0.2108 +2023-03-04 03:23:35,406 - mmseg - INFO - Iter [36550/160000] lr: 7.500e-05, eta: 7:24:21, time: 0.168, data_time: 0.008, memory: 52541, decode.loss_ce: 0.2007, decode.acc_seg: 91.8016, loss: 0.2007 +2023-03-04 03:23:46,146 - mmseg - INFO - Iter [36600/160000] lr: 7.500e-05, eta: 7:24:10, time: 0.215, data_time: 0.055, memory: 52541, decode.loss_ce: 0.2022, decode.acc_seg: 91.7621, loss: 0.2022 +2023-03-04 03:23:55,419 - mmseg - INFO - Iter [36650/160000] lr: 7.500e-05, eta: 7:23:54, time: 0.186, data_time: 0.007, memory: 52541, decode.loss_ce: 0.2052, decode.acc_seg: 91.7203, loss: 0.2052 +2023-03-04 03:24:03,641 - mmseg - INFO - Iter [36700/160000] lr: 7.500e-05, eta: 7:23:35, time: 0.164, data_time: 0.007, memory: 52541, decode.loss_ce: 0.2001, decode.acc_seg: 91.7586, loss: 0.2001 +2023-03-04 03:24:11,949 - mmseg - INFO - Iter [36750/160000] lr: 7.500e-05, eta: 7:23:16, time: 0.166, data_time: 0.007, memory: 52541, decode.loss_ce: 0.1982, decode.acc_seg: 91.7788, loss: 0.1982 +2023-03-04 03:24:20,397 - mmseg - INFO - Iter [36800/160000] lr: 7.500e-05, eta: 7:22:57, time: 0.169, data_time: 0.007, memory: 52541, decode.loss_ce: 0.2036, decode.acc_seg: 91.6209, loss: 0.2036 +2023-03-04 03:24:28,768 - mmseg - INFO - Iter [36850/160000] lr: 7.500e-05, eta: 7:22:38, time: 0.167, data_time: 0.007, memory: 52541, decode.loss_ce: 0.2038, decode.acc_seg: 91.7229, loss: 0.2038 +2023-03-04 03:24:37,426 - mmseg - INFO - Iter [36900/160000] lr: 7.500e-05, eta: 7:22:20, time: 0.173, data_time: 0.007, memory: 52541, decode.loss_ce: 0.2020, decode.acc_seg: 91.8219, loss: 0.2020 +2023-03-04 03:24:45,939 - mmseg - INFO - Iter [36950/160000] lr: 7.500e-05, eta: 7:22:02, time: 0.171, data_time: 0.007, memory: 52541, decode.loss_ce: 0.1958, decode.acc_seg: 92.0004, loss: 0.1958 +2023-03-04 03:24:54,210 - mmseg - INFO - Exp name: ablation_segformer_mit_b2_segformer_head_unet_fc_small_multi_step_ade_pretrained_freeze_embed_160k_ade20k151_finetune_ema_winit.py +2023-03-04 03:24:54,210 - mmseg - INFO - Iter [37000/160000] lr: 7.500e-05, eta: 7:21:43, time: 0.165, data_time: 0.007, memory: 52541, decode.loss_ce: 0.1957, decode.acc_seg: 91.9058, loss: 0.1957 +2023-03-04 03:25:02,633 - mmseg - INFO - Iter [37050/160000] lr: 7.500e-05, eta: 7:21:24, time: 0.168, data_time: 0.007, memory: 52541, decode.loss_ce: 0.2095, decode.acc_seg: 91.3549, loss: 0.2095 +2023-03-04 03:25:11,065 - mmseg - INFO - Iter [37100/160000] lr: 7.500e-05, eta: 7:21:06, time: 0.169, data_time: 0.007, memory: 52541, decode.loss_ce: 0.2030, decode.acc_seg: 91.7113, loss: 0.2030 +2023-03-04 03:25:19,462 - mmseg - INFO - Iter [37150/160000] lr: 7.500e-05, eta: 7:20:47, time: 0.168, data_time: 0.007, memory: 52541, decode.loss_ce: 0.1994, decode.acc_seg: 91.8255, loss: 0.1994 +2023-03-04 03:25:27,911 - mmseg - INFO - Iter [37200/160000] lr: 7.500e-05, eta: 7:20:29, time: 0.169, data_time: 0.007, memory: 52541, decode.loss_ce: 0.2048, decode.acc_seg: 91.5566, loss: 0.2048 +2023-03-04 03:25:38,740 - mmseg - INFO - Iter [37250/160000] lr: 7.500e-05, eta: 7:20:18, time: 0.217, data_time: 0.056, memory: 52541, decode.loss_ce: 0.2016, decode.acc_seg: 91.6784, loss: 0.2016 +2023-03-04 03:25:46,978 - mmseg - INFO - Iter [37300/160000] lr: 7.500e-05, eta: 7:19:59, time: 0.165, data_time: 0.007, memory: 52541, decode.loss_ce: 0.2136, decode.acc_seg: 91.5099, loss: 0.2136 +2023-03-04 03:25:55,594 - mmseg - INFO - Iter [37350/160000] lr: 7.500e-05, eta: 7:19:41, time: 0.172, data_time: 0.007, memory: 52541, decode.loss_ce: 0.2006, decode.acc_seg: 91.8572, loss: 0.2006 +2023-03-04 03:26:03,857 - mmseg - INFO - Iter [37400/160000] lr: 7.500e-05, eta: 7:19:22, time: 0.165, data_time: 0.007, memory: 52541, decode.loss_ce: 0.1998, decode.acc_seg: 91.7247, loss: 0.1998 +2023-03-04 03:26:12,499 - mmseg - INFO - Iter [37450/160000] lr: 7.500e-05, eta: 7:19:05, time: 0.173, data_time: 0.007, memory: 52541, decode.loss_ce: 0.1913, decode.acc_seg: 92.2223, loss: 0.1913 +2023-03-04 03:26:21,134 - mmseg - INFO - Iter [37500/160000] lr: 7.500e-05, eta: 7:18:47, time: 0.173, data_time: 0.007, memory: 52541, decode.loss_ce: 0.2001, decode.acc_seg: 91.7646, loss: 0.2001 +2023-03-04 03:26:29,832 - mmseg - INFO - Iter [37550/160000] lr: 7.500e-05, eta: 7:18:30, time: 0.174, data_time: 0.007, memory: 52541, decode.loss_ce: 0.1960, decode.acc_seg: 92.0460, loss: 0.1960 +2023-03-04 03:26:38,503 - mmseg - INFO - Iter [37600/160000] lr: 7.500e-05, eta: 7:18:12, time: 0.173, data_time: 0.008, memory: 52541, decode.loss_ce: 0.2061, decode.acc_seg: 91.6161, loss: 0.2061 +2023-03-04 03:26:46,965 - mmseg - INFO - Iter [37650/160000] lr: 7.500e-05, eta: 7:17:54, time: 0.169, data_time: 0.007, memory: 52541, decode.loss_ce: 0.1986, decode.acc_seg: 91.7754, loss: 0.1986 +2023-03-04 03:26:55,603 - mmseg - INFO - Iter [37700/160000] lr: 7.500e-05, eta: 7:17:36, time: 0.173, data_time: 0.007, memory: 52541, decode.loss_ce: 0.2018, decode.acc_seg: 91.6489, loss: 0.2018 +2023-03-04 03:27:04,112 - mmseg - INFO - Iter [37750/160000] lr: 7.500e-05, eta: 7:17:18, time: 0.170, data_time: 0.007, memory: 52541, decode.loss_ce: 0.2043, decode.acc_seg: 91.7531, loss: 0.2043 +2023-03-04 03:27:12,571 - mmseg - INFO - Iter [37800/160000] lr: 7.500e-05, eta: 7:17:00, time: 0.169, data_time: 0.007, memory: 52541, decode.loss_ce: 0.1995, decode.acc_seg: 91.8225, loss: 0.1995 +2023-03-04 03:27:20,850 - mmseg - INFO - Iter [37850/160000] lr: 7.500e-05, eta: 7:16:42, time: 0.166, data_time: 0.007, memory: 52541, decode.loss_ce: 0.2005, decode.acc_seg: 91.6999, loss: 0.2005 +2023-03-04 03:27:31,584 - mmseg - INFO - Iter [37900/160000] lr: 7.500e-05, eta: 7:16:31, time: 0.215, data_time: 0.057, memory: 52541, decode.loss_ce: 0.1927, decode.acc_seg: 92.0113, loss: 0.1927 +2023-03-04 03:27:40,054 - mmseg - INFO - Iter [37950/160000] lr: 7.500e-05, eta: 7:16:13, time: 0.169, data_time: 0.007, memory: 52541, decode.loss_ce: 0.2000, decode.acc_seg: 91.7753, loss: 0.2000 +2023-03-04 03:27:48,589 - mmseg - INFO - Exp name: ablation_segformer_mit_b2_segformer_head_unet_fc_small_multi_step_ade_pretrained_freeze_embed_160k_ade20k151_finetune_ema_winit.py +2023-03-04 03:27:48,589 - mmseg - INFO - Iter [38000/160000] lr: 7.500e-05, eta: 7:15:55, time: 0.171, data_time: 0.007, memory: 52541, decode.loss_ce: 0.2045, decode.acc_seg: 91.5406, loss: 0.2045 +2023-03-04 03:27:57,098 - mmseg - INFO - Iter [38050/160000] lr: 7.500e-05, eta: 7:15:37, time: 0.170, data_time: 0.007, memory: 52541, decode.loss_ce: 0.2014, decode.acc_seg: 91.6826, loss: 0.2014 +2023-03-04 03:28:05,547 - mmseg - INFO - Iter [38100/160000] lr: 7.500e-05, eta: 7:15:19, time: 0.169, data_time: 0.007, memory: 52541, decode.loss_ce: 0.2020, decode.acc_seg: 91.7339, loss: 0.2020 +2023-03-04 03:28:13,849 - mmseg - INFO - Iter [38150/160000] lr: 7.500e-05, eta: 7:15:01, time: 0.166, data_time: 0.007, memory: 52541, decode.loss_ce: 0.2025, decode.acc_seg: 91.6517, loss: 0.2025 +2023-03-04 03:28:22,524 - mmseg - INFO - Iter [38200/160000] lr: 7.500e-05, eta: 7:14:44, time: 0.173, data_time: 0.007, memory: 52541, decode.loss_ce: 0.1983, decode.acc_seg: 91.8017, loss: 0.1983 +2023-03-04 03:28:30,827 - mmseg - INFO - Iter [38250/160000] lr: 7.500e-05, eta: 7:14:25, time: 0.166, data_time: 0.007, memory: 52541, decode.loss_ce: 0.1971, decode.acc_seg: 91.9586, loss: 0.1971 +2023-03-04 03:28:39,400 - mmseg - INFO - Iter [38300/160000] lr: 7.500e-05, eta: 7:14:08, time: 0.171, data_time: 0.007, memory: 52541, decode.loss_ce: 0.2009, decode.acc_seg: 91.9847, loss: 0.2009 +2023-03-04 03:28:47,887 - mmseg - INFO - Iter [38350/160000] lr: 7.500e-05, eta: 7:13:50, time: 0.170, data_time: 0.007, memory: 52541, decode.loss_ce: 0.2030, decode.acc_seg: 91.7277, loss: 0.2030 +2023-03-04 03:28:56,242 - mmseg - INFO - Iter [38400/160000] lr: 7.500e-05, eta: 7:13:32, time: 0.167, data_time: 0.007, memory: 52541, decode.loss_ce: 0.2086, decode.acc_seg: 91.5698, loss: 0.2086 +2023-03-04 03:29:04,776 - mmseg - INFO - Iter [38450/160000] lr: 7.500e-05, eta: 7:13:15, time: 0.171, data_time: 0.007, memory: 52541, decode.loss_ce: 0.1997, decode.acc_seg: 91.7971, loss: 0.1997 +2023-03-04 03:29:15,971 - mmseg - INFO - Iter [38500/160000] lr: 7.500e-05, eta: 7:13:06, time: 0.224, data_time: 0.054, memory: 52541, decode.loss_ce: 0.1964, decode.acc_seg: 91.8853, loss: 0.1964 +2023-03-04 03:29:24,263 - mmseg - INFO - Iter [38550/160000] lr: 7.500e-05, eta: 7:12:47, time: 0.166, data_time: 0.007, memory: 52541, decode.loss_ce: 0.1933, decode.acc_seg: 91.9308, loss: 0.1933 +2023-03-04 03:29:32,945 - mmseg - INFO - Iter [38600/160000] lr: 7.500e-05, eta: 7:12:30, time: 0.174, data_time: 0.007, memory: 52541, decode.loss_ce: 0.1997, decode.acc_seg: 91.8649, loss: 0.1997 +2023-03-04 03:29:41,360 - mmseg - INFO - Iter [38650/160000] lr: 7.500e-05, eta: 7:12:12, time: 0.168, data_time: 0.007, memory: 52541, decode.loss_ce: 0.2031, decode.acc_seg: 91.6069, loss: 0.2031 +2023-03-04 03:29:49,811 - mmseg - INFO - Iter [38700/160000] lr: 7.500e-05, eta: 7:11:55, time: 0.169, data_time: 0.008, memory: 52541, decode.loss_ce: 0.1974, decode.acc_seg: 91.9695, loss: 0.1974 +2023-03-04 03:29:58,193 - mmseg - INFO - Iter [38750/160000] lr: 7.500e-05, eta: 7:11:37, time: 0.168, data_time: 0.008, memory: 52541, decode.loss_ce: 0.2005, decode.acc_seg: 91.6608, loss: 0.2005 +2023-03-04 03:30:06,855 - mmseg - INFO - Iter [38800/160000] lr: 7.500e-05, eta: 7:11:20, time: 0.173, data_time: 0.007, memory: 52541, decode.loss_ce: 0.2020, decode.acc_seg: 91.9905, loss: 0.2020 +2023-03-04 03:30:15,242 - mmseg - INFO - Iter [38850/160000] lr: 7.500e-05, eta: 7:11:02, time: 0.168, data_time: 0.007, memory: 52541, decode.loss_ce: 0.2076, decode.acc_seg: 91.5691, loss: 0.2076 +2023-03-04 03:30:23,926 - mmseg - INFO - Iter [38900/160000] lr: 7.500e-05, eta: 7:10:45, time: 0.174, data_time: 0.007, memory: 52541, decode.loss_ce: 0.2024, decode.acc_seg: 91.7620, loss: 0.2024 +2023-03-04 03:30:32,255 - mmseg - INFO - Iter [38950/160000] lr: 7.500e-05, eta: 7:10:27, time: 0.167, data_time: 0.007, memory: 52541, decode.loss_ce: 0.1904, decode.acc_seg: 92.1432, loss: 0.1904 +2023-03-04 03:30:40,649 - mmseg - INFO - Exp name: ablation_segformer_mit_b2_segformer_head_unet_fc_small_multi_step_ade_pretrained_freeze_embed_160k_ade20k151_finetune_ema_winit.py +2023-03-04 03:30:40,649 - mmseg - INFO - Iter [39000/160000] lr: 7.500e-05, eta: 7:10:09, time: 0.168, data_time: 0.007, memory: 52541, decode.loss_ce: 0.2035, decode.acc_seg: 91.6386, loss: 0.2035 +2023-03-04 03:30:49,067 - mmseg - INFO - Iter [39050/160000] lr: 7.500e-05, eta: 7:09:52, time: 0.169, data_time: 0.007, memory: 52541, decode.loss_ce: 0.1980, decode.acc_seg: 91.9068, loss: 0.1980 +2023-03-04 03:30:57,566 - mmseg - INFO - Iter [39100/160000] lr: 7.500e-05, eta: 7:09:35, time: 0.170, data_time: 0.007, memory: 52541, decode.loss_ce: 0.1977, decode.acc_seg: 91.9018, loss: 0.1977 +2023-03-04 03:31:08,373 - mmseg - INFO - Iter [39150/160000] lr: 7.500e-05, eta: 7:09:24, time: 0.216, data_time: 0.054, memory: 52541, decode.loss_ce: 0.1931, decode.acc_seg: 92.1582, loss: 0.1931 +2023-03-04 03:31:16,826 - mmseg - INFO - Iter [39200/160000] lr: 7.500e-05, eta: 7:09:07, time: 0.169, data_time: 0.007, memory: 52541, decode.loss_ce: 0.1967, decode.acc_seg: 91.8854, loss: 0.1967 +2023-03-04 03:31:25,236 - mmseg - INFO - Iter [39250/160000] lr: 7.500e-05, eta: 7:08:49, time: 0.168, data_time: 0.007, memory: 52541, decode.loss_ce: 0.1985, decode.acc_seg: 91.8037, loss: 0.1985 +2023-03-04 03:31:33,736 - mmseg - INFO - Iter [39300/160000] lr: 7.500e-05, eta: 7:08:32, time: 0.170, data_time: 0.007, memory: 52541, decode.loss_ce: 0.2029, decode.acc_seg: 91.8006, loss: 0.2029 +2023-03-04 03:31:42,328 - mmseg - INFO - Iter [39350/160000] lr: 7.500e-05, eta: 7:08:15, time: 0.172, data_time: 0.008, memory: 52541, decode.loss_ce: 0.1907, decode.acc_seg: 92.1109, loss: 0.1907 +2023-03-04 03:31:50,997 - mmseg - INFO - Iter [39400/160000] lr: 7.500e-05, eta: 7:07:58, time: 0.173, data_time: 0.008, memory: 52541, decode.loss_ce: 0.2010, decode.acc_seg: 91.7586, loss: 0.2010 +2023-03-04 03:31:59,431 - mmseg - INFO - Iter [39450/160000] lr: 7.500e-05, eta: 7:07:41, time: 0.169, data_time: 0.007, memory: 52541, decode.loss_ce: 0.2024, decode.acc_seg: 91.6204, loss: 0.2024 +2023-03-04 03:32:07,662 - mmseg - INFO - Iter [39500/160000] lr: 7.500e-05, eta: 7:07:23, time: 0.165, data_time: 0.007, memory: 52541, decode.loss_ce: 0.2003, decode.acc_seg: 91.7084, loss: 0.2003 +2023-03-04 03:32:16,164 - mmseg - INFO - Iter [39550/160000] lr: 7.500e-05, eta: 7:07:06, time: 0.170, data_time: 0.007, memory: 52541, decode.loss_ce: 0.2103, decode.acc_seg: 91.4188, loss: 0.2103 +2023-03-04 03:32:24,781 - mmseg - INFO - Iter [39600/160000] lr: 7.500e-05, eta: 7:06:49, time: 0.172, data_time: 0.007, memory: 52541, decode.loss_ce: 0.1997, decode.acc_seg: 91.9109, loss: 0.1997 +2023-03-04 03:32:33,364 - mmseg - INFO - Iter [39650/160000] lr: 7.500e-05, eta: 7:06:32, time: 0.172, data_time: 0.008, memory: 52541, decode.loss_ce: 0.2029, decode.acc_seg: 91.8718, loss: 0.2029 +2023-03-04 03:32:41,630 - mmseg - INFO - Iter [39700/160000] lr: 7.500e-05, eta: 7:06:14, time: 0.165, data_time: 0.007, memory: 52541, decode.loss_ce: 0.2016, decode.acc_seg: 91.6818, loss: 0.2016 +2023-03-04 03:32:50,093 - mmseg - INFO - Iter [39750/160000] lr: 7.500e-05, eta: 7:05:57, time: 0.169, data_time: 0.007, memory: 52541, decode.loss_ce: 0.1962, decode.acc_seg: 91.9926, loss: 0.1962 +2023-03-04 03:33:01,027 - mmseg - INFO - Iter [39800/160000] lr: 7.500e-05, eta: 7:05:47, time: 0.218, data_time: 0.055, memory: 52541, decode.loss_ce: 0.1985, decode.acc_seg: 91.9082, loss: 0.1985 +2023-03-04 03:33:09,582 - mmseg - INFO - Iter [39850/160000] lr: 7.500e-05, eta: 7:05:31, time: 0.171, data_time: 0.007, memory: 52541, decode.loss_ce: 0.1901, decode.acc_seg: 92.1579, loss: 0.1901 +2023-03-04 03:33:18,126 - mmseg - INFO - Iter [39900/160000] lr: 7.500e-05, eta: 7:05:14, time: 0.171, data_time: 0.007, memory: 52541, decode.loss_ce: 0.1953, decode.acc_seg: 91.9563, loss: 0.1953 +2023-03-04 03:33:27,009 - mmseg - INFO - Iter [39950/160000] lr: 7.500e-05, eta: 7:04:58, time: 0.178, data_time: 0.008, memory: 52541, decode.loss_ce: 0.1991, decode.acc_seg: 91.8458, loss: 0.1991 +2023-03-04 03:33:35,311 - mmseg - INFO - Exp name: ablation_segformer_mit_b2_segformer_head_unet_fc_small_multi_step_ade_pretrained_freeze_embed_160k_ade20k151_finetune_ema_winit.py +2023-03-04 03:33:35,311 - mmseg - INFO - Iter [40000/160000] lr: 7.500e-05, eta: 7:04:40, time: 0.166, data_time: 0.007, memory: 52541, decode.loss_ce: 0.1973, decode.acc_seg: 92.0267, loss: 0.1973 +2023-03-04 03:33:43,629 - mmseg - INFO - Iter [40050/160000] lr: 3.750e-05, eta: 7:04:23, time: 0.166, data_time: 0.007, memory: 52541, decode.loss_ce: 0.2015, decode.acc_seg: 91.9059, loss: 0.2015 +2023-03-04 03:33:52,718 - mmseg - INFO - Iter [40100/160000] lr: 3.750e-05, eta: 7:04:08, time: 0.182, data_time: 0.008, memory: 52541, decode.loss_ce: 0.1944, decode.acc_seg: 92.0326, loss: 0.1944 +2023-03-04 03:34:01,414 - mmseg - INFO - Iter [40150/160000] lr: 3.750e-05, eta: 7:03:51, time: 0.174, data_time: 0.007, memory: 52541, decode.loss_ce: 0.1939, decode.acc_seg: 91.9969, loss: 0.1939 +2023-03-04 03:34:10,065 - mmseg - INFO - Iter [40200/160000] lr: 3.750e-05, eta: 7:03:35, time: 0.173, data_time: 0.007, memory: 52541, decode.loss_ce: 0.2074, decode.acc_seg: 91.5272, loss: 0.2074 +2023-03-04 03:34:18,540 - mmseg - INFO - Iter [40250/160000] lr: 3.750e-05, eta: 7:03:18, time: 0.169, data_time: 0.007, memory: 52541, decode.loss_ce: 0.2031, decode.acc_seg: 91.6787, loss: 0.2031 +2023-03-04 03:34:27,049 - mmseg - INFO - Iter [40300/160000] lr: 3.750e-05, eta: 7:03:01, time: 0.170, data_time: 0.008, memory: 52541, decode.loss_ce: 0.1935, decode.acc_seg: 91.9676, loss: 0.1935 +2023-03-04 03:34:35,303 - mmseg - INFO - Iter [40350/160000] lr: 3.750e-05, eta: 7:02:43, time: 0.165, data_time: 0.007, memory: 52541, decode.loss_ce: 0.2042, decode.acc_seg: 91.7289, loss: 0.2042 +2023-03-04 03:34:46,737 - mmseg - INFO - Iter [40400/160000] lr: 3.750e-05, eta: 7:02:35, time: 0.229, data_time: 0.053, memory: 52541, decode.loss_ce: 0.1953, decode.acc_seg: 91.9647, loss: 0.1953 +2023-03-04 03:34:55,429 - mmseg - INFO - Iter [40450/160000] lr: 3.750e-05, eta: 7:02:19, time: 0.174, data_time: 0.007, memory: 52541, decode.loss_ce: 0.1990, decode.acc_seg: 91.8138, loss: 0.1990 +2023-03-04 03:35:04,004 - mmseg - INFO - Iter [40500/160000] lr: 3.750e-05, eta: 7:02:03, time: 0.171, data_time: 0.007, memory: 52541, decode.loss_ce: 0.1880, decode.acc_seg: 92.3135, loss: 0.1880 +2023-03-04 03:35:12,377 - mmseg - INFO - Iter [40550/160000] lr: 3.750e-05, eta: 7:01:45, time: 0.167, data_time: 0.007, memory: 52541, decode.loss_ce: 0.1965, decode.acc_seg: 92.0507, loss: 0.1965 +2023-03-04 03:35:21,020 - mmseg - INFO - Iter [40600/160000] lr: 3.750e-05, eta: 7:01:29, time: 0.173, data_time: 0.007, memory: 52541, decode.loss_ce: 0.1873, decode.acc_seg: 92.3224, loss: 0.1873 +2023-03-04 03:35:29,749 - mmseg - INFO - Iter [40650/160000] lr: 3.750e-05, eta: 7:01:13, time: 0.174, data_time: 0.007, memory: 52541, decode.loss_ce: 0.1982, decode.acc_seg: 91.9763, loss: 0.1982 +2023-03-04 03:35:38,341 - mmseg - INFO - Iter [40700/160000] lr: 3.750e-05, eta: 7:00:57, time: 0.172, data_time: 0.007, memory: 52541, decode.loss_ce: 0.1928, decode.acc_seg: 92.0887, loss: 0.1928 +2023-03-04 03:35:46,841 - mmseg - INFO - Iter [40750/160000] lr: 3.750e-05, eta: 7:00:40, time: 0.170, data_time: 0.008, memory: 52541, decode.loss_ce: 0.1918, decode.acc_seg: 92.0710, loss: 0.1918 +2023-03-04 03:35:55,254 - mmseg - INFO - Iter [40800/160000] lr: 3.750e-05, eta: 7:00:23, time: 0.168, data_time: 0.008, memory: 52541, decode.loss_ce: 0.1916, decode.acc_seg: 92.0468, loss: 0.1916 +2023-03-04 03:36:03,887 - mmseg - INFO - Iter [40850/160000] lr: 3.750e-05, eta: 7:00:07, time: 0.172, data_time: 0.007, memory: 52541, decode.loss_ce: 0.1987, decode.acc_seg: 92.0243, loss: 0.1987 +2023-03-04 03:36:12,204 - mmseg - INFO - Iter [40900/160000] lr: 3.750e-05, eta: 6:59:49, time: 0.166, data_time: 0.008, memory: 52541, decode.loss_ce: 0.1902, decode.acc_seg: 92.2328, loss: 0.1902 +2023-03-04 03:36:20,688 - mmseg - INFO - Iter [40950/160000] lr: 3.750e-05, eta: 6:59:33, time: 0.170, data_time: 0.007, memory: 52541, decode.loss_ce: 0.1989, decode.acc_seg: 91.7710, loss: 0.1989 +2023-03-04 03:36:29,075 - mmseg - INFO - Exp name: ablation_segformer_mit_b2_segformer_head_unet_fc_small_multi_step_ade_pretrained_freeze_embed_160k_ade20k151_finetune_ema_winit.py +2023-03-04 03:36:29,075 - mmseg - INFO - Iter [41000/160000] lr: 3.750e-05, eta: 6:59:16, time: 0.167, data_time: 0.007, memory: 52541, decode.loss_ce: 0.1942, decode.acc_seg: 92.0291, loss: 0.1942 +2023-03-04 03:36:40,131 - mmseg - INFO - Iter [41050/160000] lr: 3.750e-05, eta: 6:59:07, time: 0.221, data_time: 0.055, memory: 52541, decode.loss_ce: 0.2023, decode.acc_seg: 91.8420, loss: 0.2023 +2023-03-04 03:36:48,790 - mmseg - INFO - Iter [41100/160000] lr: 3.750e-05, eta: 6:58:51, time: 0.173, data_time: 0.007, memory: 52541, decode.loss_ce: 0.1923, decode.acc_seg: 92.0729, loss: 0.1923 +2023-03-04 03:36:57,229 - mmseg - INFO - Iter [41150/160000] lr: 3.750e-05, eta: 6:58:34, time: 0.169, data_time: 0.008, memory: 52541, decode.loss_ce: 0.1989, decode.acc_seg: 91.9053, loss: 0.1989 +2023-03-04 03:37:05,581 - mmseg - INFO - Iter [41200/160000] lr: 3.750e-05, eta: 6:58:17, time: 0.167, data_time: 0.007, memory: 52541, decode.loss_ce: 0.1870, decode.acc_seg: 92.2130, loss: 0.1870 +2023-03-04 03:37:13,894 - mmseg - INFO - Iter [41250/160000] lr: 3.750e-05, eta: 6:58:00, time: 0.166, data_time: 0.007, memory: 52541, decode.loss_ce: 0.1928, decode.acc_seg: 92.1480, loss: 0.1928 +2023-03-04 03:37:22,246 - mmseg - INFO - Iter [41300/160000] lr: 3.750e-05, eta: 6:57:43, time: 0.167, data_time: 0.007, memory: 52541, decode.loss_ce: 0.1900, decode.acc_seg: 92.1714, loss: 0.1900 +2023-03-04 03:37:30,632 - mmseg - INFO - Iter [41350/160000] lr: 3.750e-05, eta: 6:57:26, time: 0.168, data_time: 0.007, memory: 52541, decode.loss_ce: 0.2000, decode.acc_seg: 91.7313, loss: 0.2000 +2023-03-04 03:37:39,160 - mmseg - INFO - Iter [41400/160000] lr: 3.750e-05, eta: 6:57:10, time: 0.170, data_time: 0.008, memory: 52541, decode.loss_ce: 0.1977, decode.acc_seg: 91.8071, loss: 0.1977 +2023-03-04 03:37:48,117 - mmseg - INFO - Iter [41450/160000] lr: 3.750e-05, eta: 6:56:55, time: 0.179, data_time: 0.007, memory: 52541, decode.loss_ce: 0.1871, decode.acc_seg: 92.2274, loss: 0.1871 +2023-03-04 03:37:56,689 - mmseg - INFO - Iter [41500/160000] lr: 3.750e-05, eta: 6:56:39, time: 0.172, data_time: 0.007, memory: 52541, decode.loss_ce: 0.1947, decode.acc_seg: 91.9321, loss: 0.1947 +2023-03-04 03:38:05,231 - mmseg - INFO - Iter [41550/160000] lr: 3.750e-05, eta: 6:56:22, time: 0.171, data_time: 0.007, memory: 52541, decode.loss_ce: 0.1971, decode.acc_seg: 91.9611, loss: 0.1971 +2023-03-04 03:38:13,650 - mmseg - INFO - Iter [41600/160000] lr: 3.750e-05, eta: 6:56:06, time: 0.168, data_time: 0.007, memory: 52541, decode.loss_ce: 0.2007, decode.acc_seg: 91.8005, loss: 0.2007 +2023-03-04 03:38:24,752 - mmseg - INFO - Iter [41650/160000] lr: 3.750e-05, eta: 6:55:57, time: 0.222, data_time: 0.053, memory: 52541, decode.loss_ce: 0.1979, decode.acc_seg: 91.9260, loss: 0.1979 +2023-03-04 03:38:33,194 - mmseg - INFO - Iter [41700/160000] lr: 3.750e-05, eta: 6:55:40, time: 0.169, data_time: 0.007, memory: 52541, decode.loss_ce: 0.1971, decode.acc_seg: 91.8433, loss: 0.1971 +2023-03-04 03:38:41,798 - mmseg - INFO - Iter [41750/160000] lr: 3.750e-05, eta: 6:55:24, time: 0.172, data_time: 0.007, memory: 52541, decode.loss_ce: 0.2069, decode.acc_seg: 91.6900, loss: 0.2069 +2023-03-04 03:38:50,250 - mmseg - INFO - Iter [41800/160000] lr: 3.750e-05, eta: 6:55:08, time: 0.169, data_time: 0.007, memory: 52541, decode.loss_ce: 0.1937, decode.acc_seg: 92.0978, loss: 0.1937 +2023-03-04 03:38:58,854 - mmseg - INFO - Iter [41850/160000] lr: 3.750e-05, eta: 6:54:52, time: 0.172, data_time: 0.007, memory: 52541, decode.loss_ce: 0.1925, decode.acc_seg: 91.9875, loss: 0.1925 +2023-03-04 03:39:07,710 - mmseg - INFO - Iter [41900/160000] lr: 3.750e-05, eta: 6:54:37, time: 0.177, data_time: 0.007, memory: 52541, decode.loss_ce: 0.2022, decode.acc_seg: 91.8077, loss: 0.2022 +2023-03-04 03:39:16,744 - mmseg - INFO - Iter [41950/160000] lr: 3.750e-05, eta: 6:54:22, time: 0.181, data_time: 0.007, memory: 52541, decode.loss_ce: 0.1863, decode.acc_seg: 92.3863, loss: 0.1863 +2023-03-04 03:39:25,208 - mmseg - INFO - Exp name: ablation_segformer_mit_b2_segformer_head_unet_fc_small_multi_step_ade_pretrained_freeze_embed_160k_ade20k151_finetune_ema_winit.py +2023-03-04 03:39:25,208 - mmseg - INFO - Iter [42000/160000] lr: 3.750e-05, eta: 6:54:05, time: 0.170, data_time: 0.008, memory: 52541, decode.loss_ce: 0.1875, decode.acc_seg: 92.1518, loss: 0.1875 +2023-03-04 03:39:33,577 - mmseg - INFO - Iter [42050/160000] lr: 3.750e-05, eta: 6:53:49, time: 0.167, data_time: 0.007, memory: 52541, decode.loss_ce: 0.2042, decode.acc_seg: 91.6689, loss: 0.2042 +2023-03-04 03:39:42,268 - mmseg - INFO - Iter [42100/160000] lr: 3.750e-05, eta: 6:53:33, time: 0.174, data_time: 0.007, memory: 52541, decode.loss_ce: 0.1922, decode.acc_seg: 92.1567, loss: 0.1922 +2023-03-04 03:39:50,986 - mmseg - INFO - Iter [42150/160000] lr: 3.750e-05, eta: 6:53:18, time: 0.174, data_time: 0.008, memory: 52541, decode.loss_ce: 0.1977, decode.acc_seg: 91.8562, loss: 0.1977 +2023-03-04 03:39:59,484 - mmseg - INFO - Iter [42200/160000] lr: 3.750e-05, eta: 6:53:01, time: 0.170, data_time: 0.007, memory: 52541, decode.loss_ce: 0.1958, decode.acc_seg: 92.1076, loss: 0.1958 +2023-03-04 03:40:08,007 - mmseg - INFO - Iter [42250/160000] lr: 3.750e-05, eta: 6:52:45, time: 0.170, data_time: 0.007, memory: 52541, decode.loss_ce: 0.1835, decode.acc_seg: 92.3273, loss: 0.1835 +2023-03-04 03:40:19,012 - mmseg - INFO - Iter [42300/160000] lr: 3.750e-05, eta: 6:52:36, time: 0.220, data_time: 0.055, memory: 52541, decode.loss_ce: 0.1983, decode.acc_seg: 91.9147, loss: 0.1983 +2023-03-04 03:40:27,298 - mmseg - INFO - Iter [42350/160000] lr: 3.750e-05, eta: 6:52:20, time: 0.166, data_time: 0.007, memory: 52541, decode.loss_ce: 0.1996, decode.acc_seg: 91.7858, loss: 0.1996 +2023-03-04 03:40:36,002 - mmseg - INFO - Iter [42400/160000] lr: 3.750e-05, eta: 6:52:04, time: 0.174, data_time: 0.007, memory: 52541, decode.loss_ce: 0.1877, decode.acc_seg: 92.2684, loss: 0.1877 +2023-03-04 03:40:44,251 - mmseg - INFO - Iter [42450/160000] lr: 3.750e-05, eta: 6:51:47, time: 0.165, data_time: 0.007, memory: 52541, decode.loss_ce: 0.1973, decode.acc_seg: 91.9058, loss: 0.1973 +2023-03-04 03:40:52,981 - mmseg - INFO - Iter [42500/160000] lr: 3.750e-05, eta: 6:51:32, time: 0.174, data_time: 0.007, memory: 52541, decode.loss_ce: 0.1990, decode.acc_seg: 91.7360, loss: 0.1990 +2023-03-04 03:41:01,337 - mmseg - INFO - Iter [42550/160000] lr: 3.750e-05, eta: 6:51:15, time: 0.167, data_time: 0.007, memory: 52541, decode.loss_ce: 0.2006, decode.acc_seg: 91.7321, loss: 0.2006 +2023-03-04 03:41:10,224 - mmseg - INFO - Iter [42600/160000] lr: 3.750e-05, eta: 6:51:00, time: 0.178, data_time: 0.007, memory: 52541, decode.loss_ce: 0.1894, decode.acc_seg: 92.1827, loss: 0.1894 +2023-03-04 03:41:18,931 - mmseg - INFO - Iter [42650/160000] lr: 3.750e-05, eta: 6:50:45, time: 0.174, data_time: 0.008, memory: 52541, decode.loss_ce: 0.1980, decode.acc_seg: 91.8583, loss: 0.1980 +2023-03-04 03:41:27,690 - mmseg - INFO - Iter [42700/160000] lr: 3.750e-05, eta: 6:50:30, time: 0.175, data_time: 0.007, memory: 52541, decode.loss_ce: 0.1927, decode.acc_seg: 91.9707, loss: 0.1927 +2023-03-04 03:41:36,000 - mmseg - INFO - Iter [42750/160000] lr: 3.750e-05, eta: 6:50:13, time: 0.166, data_time: 0.007, memory: 52541, decode.loss_ce: 0.1953, decode.acc_seg: 92.1062, loss: 0.1953 +2023-03-04 03:41:44,509 - mmseg - INFO - Iter [42800/160000] lr: 3.750e-05, eta: 6:49:57, time: 0.170, data_time: 0.007, memory: 52541, decode.loss_ce: 0.1959, decode.acc_seg: 91.9699, loss: 0.1959 +2023-03-04 03:41:53,221 - mmseg - INFO - Iter [42850/160000] lr: 3.750e-05, eta: 6:49:42, time: 0.174, data_time: 0.007, memory: 52541, decode.loss_ce: 0.1961, decode.acc_seg: 91.9695, loss: 0.1961 +2023-03-04 03:42:02,019 - mmseg - INFO - Iter [42900/160000] lr: 3.750e-05, eta: 6:49:27, time: 0.176, data_time: 0.008, memory: 52541, decode.loss_ce: 0.1890, decode.acc_seg: 92.1791, loss: 0.1890 +2023-03-04 03:42:13,146 - mmseg - INFO - Iter [42950/160000] lr: 3.750e-05, eta: 6:49:18, time: 0.223, data_time: 0.053, memory: 52541, decode.loss_ce: 0.1994, decode.acc_seg: 91.9138, loss: 0.1994 +2023-03-04 03:42:21,586 - mmseg - INFO - Exp name: ablation_segformer_mit_b2_segformer_head_unet_fc_small_multi_step_ade_pretrained_freeze_embed_160k_ade20k151_finetune_ema_winit.py +2023-03-04 03:42:21,586 - mmseg - INFO - Iter [43000/160000] lr: 3.750e-05, eta: 6:49:02, time: 0.169, data_time: 0.007, memory: 52541, decode.loss_ce: 0.1911, decode.acc_seg: 92.2197, loss: 0.1911 +2023-03-04 03:42:29,864 - mmseg - INFO - Iter [43050/160000] lr: 3.750e-05, eta: 6:48:45, time: 0.166, data_time: 0.007, memory: 52541, decode.loss_ce: 0.1941, decode.acc_seg: 92.0567, loss: 0.1941 +2023-03-04 03:42:38,169 - mmseg - INFO - Iter [43100/160000] lr: 3.750e-05, eta: 6:48:29, time: 0.166, data_time: 0.007, memory: 52541, decode.loss_ce: 0.1929, decode.acc_seg: 92.0723, loss: 0.1929 +2023-03-04 03:42:46,529 - mmseg - INFO - Iter [43150/160000] lr: 3.750e-05, eta: 6:48:13, time: 0.167, data_time: 0.007, memory: 52541, decode.loss_ce: 0.1947, decode.acc_seg: 92.0934, loss: 0.1947 +2023-03-04 03:42:55,163 - mmseg - INFO - Iter [43200/160000] lr: 3.750e-05, eta: 6:47:57, time: 0.173, data_time: 0.007, memory: 52541, decode.loss_ce: 0.1986, decode.acc_seg: 91.8190, loss: 0.1986 +2023-03-04 03:43:03,935 - mmseg - INFO - Iter [43250/160000] lr: 3.750e-05, eta: 6:47:42, time: 0.175, data_time: 0.007, memory: 52541, decode.loss_ce: 0.1927, decode.acc_seg: 91.9255, loss: 0.1927 +2023-03-04 03:43:12,242 - mmseg - INFO - Iter [43300/160000] lr: 3.750e-05, eta: 6:47:26, time: 0.166, data_time: 0.007, memory: 52541, decode.loss_ce: 0.1953, decode.acc_seg: 92.0269, loss: 0.1953 +2023-03-04 03:43:20,812 - mmseg - INFO - Iter [43350/160000] lr: 3.750e-05, eta: 6:47:10, time: 0.171, data_time: 0.007, memory: 52541, decode.loss_ce: 0.1970, decode.acc_seg: 91.9910, loss: 0.1970 +2023-03-04 03:43:29,777 - mmseg - INFO - Iter [43400/160000] lr: 3.750e-05, eta: 6:46:56, time: 0.179, data_time: 0.007, memory: 52541, decode.loss_ce: 0.1983, decode.acc_seg: 91.8399, loss: 0.1983 +2023-03-04 03:43:38,543 - mmseg - INFO - Iter [43450/160000] lr: 3.750e-05, eta: 6:46:41, time: 0.175, data_time: 0.007, memory: 52541, decode.loss_ce: 0.2059, decode.acc_seg: 91.5099, loss: 0.2059 +2023-03-04 03:43:46,872 - mmseg - INFO - Iter [43500/160000] lr: 3.750e-05, eta: 6:46:25, time: 0.167, data_time: 0.007, memory: 52541, decode.loss_ce: 0.1915, decode.acc_seg: 92.1949, loss: 0.1915 +2023-03-04 03:43:57,893 - mmseg - INFO - Iter [43550/160000] lr: 3.750e-05, eta: 6:46:16, time: 0.220, data_time: 0.057, memory: 52541, decode.loss_ce: 0.1912, decode.acc_seg: 92.1274, loss: 0.1912 +2023-03-04 03:44:06,600 - mmseg - INFO - Iter [43600/160000] lr: 3.750e-05, eta: 6:46:00, time: 0.174, data_time: 0.007, memory: 52541, decode.loss_ce: 0.1944, decode.acc_seg: 91.9795, loss: 0.1944 +2023-03-04 03:44:14,916 - mmseg - INFO - Iter [43650/160000] lr: 3.750e-05, eta: 6:45:44, time: 0.166, data_time: 0.007, memory: 52541, decode.loss_ce: 0.1949, decode.acc_seg: 91.8911, loss: 0.1949 +2023-03-04 03:44:23,238 - mmseg - INFO - Iter [43700/160000] lr: 3.750e-05, eta: 6:45:28, time: 0.166, data_time: 0.007, memory: 52541, decode.loss_ce: 0.1872, decode.acc_seg: 92.3210, loss: 0.1872 +2023-03-04 03:44:31,447 - mmseg - INFO - Iter [43750/160000] lr: 3.750e-05, eta: 6:45:12, time: 0.164, data_time: 0.007, memory: 52541, decode.loss_ce: 0.1871, decode.acc_seg: 92.1392, loss: 0.1871 +2023-03-04 03:44:39,732 - mmseg - INFO - Iter [43800/160000] lr: 3.750e-05, eta: 6:44:55, time: 0.165, data_time: 0.007, memory: 52541, decode.loss_ce: 0.1932, decode.acc_seg: 92.0412, loss: 0.1932 +2023-03-04 03:44:48,222 - mmseg - INFO - Iter [43850/160000] lr: 3.750e-05, eta: 6:44:40, time: 0.170, data_time: 0.007, memory: 52541, decode.loss_ce: 0.1934, decode.acc_seg: 92.0374, loss: 0.1934 +2023-03-04 03:44:56,944 - mmseg - INFO - Iter [43900/160000] lr: 3.750e-05, eta: 6:44:25, time: 0.175, data_time: 0.007, memory: 52541, decode.loss_ce: 0.1986, decode.acc_seg: 91.8449, loss: 0.1986 +2023-03-04 03:45:05,411 - mmseg - INFO - Iter [43950/160000] lr: 3.750e-05, eta: 6:44:09, time: 0.169, data_time: 0.007, memory: 52541, decode.loss_ce: 0.1964, decode.acc_seg: 92.0569, loss: 0.1964 +2023-03-04 03:45:14,479 - mmseg - INFO - Exp name: ablation_segformer_mit_b2_segformer_head_unet_fc_small_multi_step_ade_pretrained_freeze_embed_160k_ade20k151_finetune_ema_winit.py +2023-03-04 03:45:14,479 - mmseg - INFO - Iter [44000/160000] lr: 3.750e-05, eta: 6:43:55, time: 0.181, data_time: 0.008, memory: 52541, decode.loss_ce: 0.1949, decode.acc_seg: 92.1362, loss: 0.1949 +2023-03-04 03:45:22,968 - mmseg - INFO - Iter [44050/160000] lr: 3.750e-05, eta: 6:43:39, time: 0.170, data_time: 0.007, memory: 52541, decode.loss_ce: 0.1932, decode.acc_seg: 92.0761, loss: 0.1932 +2023-03-04 03:45:31,202 - mmseg - INFO - Iter [44100/160000] lr: 3.750e-05, eta: 6:43:23, time: 0.165, data_time: 0.007, memory: 52541, decode.loss_ce: 0.1916, decode.acc_seg: 92.1170, loss: 0.1916 +2023-03-04 03:45:39,645 - mmseg - INFO - Iter [44150/160000] lr: 3.750e-05, eta: 6:43:07, time: 0.169, data_time: 0.007, memory: 52541, decode.loss_ce: 0.1994, decode.acc_seg: 91.8899, loss: 0.1994 +2023-03-04 03:45:50,870 - mmseg - INFO - Iter [44200/160000] lr: 3.750e-05, eta: 6:42:59, time: 0.224, data_time: 0.053, memory: 52541, decode.loss_ce: 0.1910, decode.acc_seg: 92.1446, loss: 0.1910 +2023-03-04 03:45:59,231 - mmseg - INFO - Iter [44250/160000] lr: 3.750e-05, eta: 6:42:43, time: 0.167, data_time: 0.007, memory: 52541, decode.loss_ce: 0.1884, decode.acc_seg: 92.2991, loss: 0.1884 +2023-03-04 03:46:07,798 - mmseg - INFO - Iter [44300/160000] lr: 3.750e-05, eta: 6:42:28, time: 0.171, data_time: 0.007, memory: 52541, decode.loss_ce: 0.1953, decode.acc_seg: 91.8795, loss: 0.1953 +2023-03-04 03:46:16,533 - mmseg - INFO - Iter [44350/160000] lr: 3.750e-05, eta: 6:42:13, time: 0.175, data_time: 0.007, memory: 52541, decode.loss_ce: 0.2005, decode.acc_seg: 91.8723, loss: 0.2005 +2023-03-04 03:46:25,077 - mmseg - INFO - Iter [44400/160000] lr: 3.750e-05, eta: 6:41:58, time: 0.171, data_time: 0.007, memory: 52541, decode.loss_ce: 0.2010, decode.acc_seg: 91.8150, loss: 0.2010 +2023-03-04 03:46:33,310 - mmseg - INFO - Iter [44450/160000] lr: 3.750e-05, eta: 6:41:41, time: 0.165, data_time: 0.007, memory: 52541, decode.loss_ce: 0.1942, decode.acc_seg: 92.0263, loss: 0.1942 +2023-03-04 03:46:41,635 - mmseg - INFO - Iter [44500/160000] lr: 3.750e-05, eta: 6:41:26, time: 0.167, data_time: 0.008, memory: 52541, decode.loss_ce: 0.2026, decode.acc_seg: 91.7791, loss: 0.2026 +2023-03-04 03:46:49,929 - mmseg - INFO - Iter [44550/160000] lr: 3.750e-05, eta: 6:41:10, time: 0.166, data_time: 0.007, memory: 52541, decode.loss_ce: 0.1902, decode.acc_seg: 92.0539, loss: 0.1902 +2023-03-04 03:46:58,747 - mmseg - INFO - Iter [44600/160000] lr: 3.750e-05, eta: 6:40:55, time: 0.177, data_time: 0.007, memory: 52541, decode.loss_ce: 0.1924, decode.acc_seg: 92.1274, loss: 0.1924 +2023-03-04 03:47:07,173 - mmseg - INFO - Iter [44650/160000] lr: 3.750e-05, eta: 6:40:39, time: 0.169, data_time: 0.007, memory: 52541, decode.loss_ce: 0.1880, decode.acc_seg: 92.1128, loss: 0.1880 +2023-03-04 03:47:16,103 - mmseg - INFO - Iter [44700/160000] lr: 3.750e-05, eta: 6:40:25, time: 0.179, data_time: 0.007, memory: 52541, decode.loss_ce: 0.1895, decode.acc_seg: 92.1882, loss: 0.1895 +2023-03-04 03:47:24,500 - mmseg - INFO - Iter [44750/160000] lr: 3.750e-05, eta: 6:40:09, time: 0.168, data_time: 0.007, memory: 52541, decode.loss_ce: 0.1965, decode.acc_seg: 91.9249, loss: 0.1965 +2023-03-04 03:47:32,891 - mmseg - INFO - Iter [44800/160000] lr: 3.750e-05, eta: 6:39:54, time: 0.168, data_time: 0.007, memory: 52541, decode.loss_ce: 0.1916, decode.acc_seg: 92.1403, loss: 0.1916 +2023-03-04 03:47:43,622 - mmseg - INFO - Iter [44850/160000] lr: 3.750e-05, eta: 6:39:44, time: 0.215, data_time: 0.057, memory: 52541, decode.loss_ce: 0.1956, decode.acc_seg: 92.0756, loss: 0.1956 +2023-03-04 03:47:52,122 - mmseg - INFO - Iter [44900/160000] lr: 3.750e-05, eta: 6:39:29, time: 0.170, data_time: 0.007, memory: 52541, decode.loss_ce: 0.1884, decode.acc_seg: 92.2810, loss: 0.1884 +2023-03-04 03:48:00,855 - mmseg - INFO - Iter [44950/160000] lr: 3.750e-05, eta: 6:39:14, time: 0.175, data_time: 0.007, memory: 52541, decode.loss_ce: 0.2009, decode.acc_seg: 91.6702, loss: 0.2009 +2023-03-04 03:48:09,084 - mmseg - INFO - Exp name: ablation_segformer_mit_b2_segformer_head_unet_fc_small_multi_step_ade_pretrained_freeze_embed_160k_ade20k151_finetune_ema_winit.py +2023-03-04 03:48:09,084 - mmseg - INFO - Iter [45000/160000] lr: 3.750e-05, eta: 6:38:58, time: 0.165, data_time: 0.007, memory: 52541, decode.loss_ce: 0.1967, decode.acc_seg: 91.8938, loss: 0.1967 +2023-03-04 03:48:17,844 - mmseg - INFO - Iter [45050/160000] lr: 3.750e-05, eta: 6:38:44, time: 0.175, data_time: 0.007, memory: 52541, decode.loss_ce: 0.1998, decode.acc_seg: 91.8614, loss: 0.1998 +2023-03-04 03:48:26,123 - mmseg - INFO - Iter [45100/160000] lr: 3.750e-05, eta: 6:38:28, time: 0.166, data_time: 0.007, memory: 52541, decode.loss_ce: 0.1877, decode.acc_seg: 92.2088, loss: 0.1877 +2023-03-04 03:48:34,725 - mmseg - INFO - Iter [45150/160000] lr: 3.750e-05, eta: 6:38:13, time: 0.172, data_time: 0.007, memory: 52541, decode.loss_ce: 0.1981, decode.acc_seg: 91.8262, loss: 0.1981 +2023-03-04 03:48:43,201 - mmseg - INFO - Iter [45200/160000] lr: 3.750e-05, eta: 6:37:57, time: 0.169, data_time: 0.007, memory: 52541, decode.loss_ce: 0.1962, decode.acc_seg: 91.9004, loss: 0.1962 +2023-03-04 03:48:51,725 - mmseg - INFO - Iter [45250/160000] lr: 3.750e-05, eta: 6:37:42, time: 0.171, data_time: 0.008, memory: 52541, decode.loss_ce: 0.1979, decode.acc_seg: 91.9368, loss: 0.1979 +2023-03-04 03:49:00,136 - mmseg - INFO - Iter [45300/160000] lr: 3.750e-05, eta: 6:37:27, time: 0.168, data_time: 0.007, memory: 52541, decode.loss_ce: 0.2012, decode.acc_seg: 91.6961, loss: 0.2012 +2023-03-04 03:49:08,881 - mmseg - INFO - Iter [45350/160000] lr: 3.750e-05, eta: 6:37:12, time: 0.175, data_time: 0.007, memory: 52541, decode.loss_ce: 0.1919, decode.acc_seg: 92.1444, loss: 0.1919 +2023-03-04 03:49:17,688 - mmseg - INFO - Iter [45400/160000] lr: 3.750e-05, eta: 6:36:58, time: 0.176, data_time: 0.007, memory: 52541, decode.loss_ce: 0.1934, decode.acc_seg: 92.1407, loss: 0.1934 +2023-03-04 03:49:28,466 - mmseg - INFO - Iter [45450/160000] lr: 3.750e-05, eta: 6:36:49, time: 0.215, data_time: 0.053, memory: 52541, decode.loss_ce: 0.1911, decode.acc_seg: 92.1720, loss: 0.1911 +2023-03-04 03:49:36,847 - mmseg - INFO - Iter [45500/160000] lr: 3.750e-05, eta: 6:36:33, time: 0.168, data_time: 0.008, memory: 52541, decode.loss_ce: 0.1981, decode.acc_seg: 91.9128, loss: 0.1981 +2023-03-04 03:49:45,635 - mmseg - INFO - Iter [45550/160000] lr: 3.750e-05, eta: 6:36:19, time: 0.176, data_time: 0.007, memory: 52541, decode.loss_ce: 0.1907, decode.acc_seg: 91.9267, loss: 0.1907 +2023-03-04 03:49:54,541 - mmseg - INFO - Iter [45600/160000] lr: 3.750e-05, eta: 6:36:05, time: 0.178, data_time: 0.007, memory: 52541, decode.loss_ce: 0.1965, decode.acc_seg: 92.0353, loss: 0.1965 +2023-03-04 03:50:03,172 - mmseg - INFO - Iter [45650/160000] lr: 3.750e-05, eta: 6:35:50, time: 0.172, data_time: 0.007, memory: 52541, decode.loss_ce: 0.1944, decode.acc_seg: 91.7970, loss: 0.1944 +2023-03-04 03:50:12,121 - mmseg - INFO - Iter [45700/160000] lr: 3.750e-05, eta: 6:35:36, time: 0.179, data_time: 0.007, memory: 52541, decode.loss_ce: 0.1992, decode.acc_seg: 91.9706, loss: 0.1992 +2023-03-04 03:50:20,741 - mmseg - INFO - Iter [45750/160000] lr: 3.750e-05, eta: 6:35:21, time: 0.172, data_time: 0.007, memory: 52541, decode.loss_ce: 0.1932, decode.acc_seg: 92.0759, loss: 0.1932 +2023-03-04 03:50:29,195 - mmseg - INFO - Iter [45800/160000] lr: 3.750e-05, eta: 6:35:06, time: 0.169, data_time: 0.007, memory: 52541, decode.loss_ce: 0.2032, decode.acc_seg: 91.4647, loss: 0.2032 +2023-03-04 03:50:37,761 - mmseg - INFO - Iter [45850/160000] lr: 3.750e-05, eta: 6:34:51, time: 0.171, data_time: 0.007, memory: 52541, decode.loss_ce: 0.1974, decode.acc_seg: 91.9696, loss: 0.1974 +2023-03-04 03:50:46,282 - mmseg - INFO - Iter [45900/160000] lr: 3.750e-05, eta: 6:34:36, time: 0.170, data_time: 0.007, memory: 52541, decode.loss_ce: 0.1937, decode.acc_seg: 92.0546, loss: 0.1937 +2023-03-04 03:50:54,849 - mmseg - INFO - Iter [45950/160000] lr: 3.750e-05, eta: 6:34:21, time: 0.172, data_time: 0.007, memory: 52541, decode.loss_ce: 0.1972, decode.acc_seg: 91.9261, loss: 0.1972 +2023-03-04 03:51:03,471 - mmseg - INFO - Exp name: ablation_segformer_mit_b2_segformer_head_unet_fc_small_multi_step_ade_pretrained_freeze_embed_160k_ade20k151_finetune_ema_winit.py +2023-03-04 03:51:03,471 - mmseg - INFO - Iter [46000/160000] lr: 3.750e-05, eta: 6:34:06, time: 0.172, data_time: 0.007, memory: 52541, decode.loss_ce: 0.1918, decode.acc_seg: 92.1144, loss: 0.1918 +2023-03-04 03:51:12,001 - mmseg - INFO - Iter [46050/160000] lr: 3.750e-05, eta: 6:33:51, time: 0.171, data_time: 0.007, memory: 52541, decode.loss_ce: 0.1998, decode.acc_seg: 91.8966, loss: 0.1998 +2023-03-04 03:51:22,827 - mmseg - INFO - Iter [46100/160000] lr: 3.750e-05, eta: 6:33:42, time: 0.217, data_time: 0.056, memory: 52541, decode.loss_ce: 0.1985, decode.acc_seg: 92.1216, loss: 0.1985 +2023-03-04 03:51:31,514 - mmseg - INFO - Iter [46150/160000] lr: 3.750e-05, eta: 6:33:28, time: 0.173, data_time: 0.007, memory: 52541, decode.loss_ce: 0.1859, decode.acc_seg: 92.2640, loss: 0.1859 +2023-03-04 03:51:40,012 - mmseg - INFO - Iter [46200/160000] lr: 3.750e-05, eta: 6:33:13, time: 0.170, data_time: 0.007, memory: 52541, decode.loss_ce: 0.1992, decode.acc_seg: 91.9221, loss: 0.1992 +2023-03-04 03:51:48,582 - mmseg - INFO - Iter [46250/160000] lr: 3.750e-05, eta: 6:32:58, time: 0.171, data_time: 0.007, memory: 52541, decode.loss_ce: 0.1945, decode.acc_seg: 92.0189, loss: 0.1945 +2023-03-04 03:51:57,096 - mmseg - INFO - Iter [46300/160000] lr: 3.750e-05, eta: 6:32:43, time: 0.170, data_time: 0.007, memory: 52541, decode.loss_ce: 0.1881, decode.acc_seg: 92.0429, loss: 0.1881 +2023-03-04 03:52:05,556 - mmseg - INFO - Iter [46350/160000] lr: 3.750e-05, eta: 6:32:28, time: 0.169, data_time: 0.007, memory: 52541, decode.loss_ce: 0.1963, decode.acc_seg: 91.9524, loss: 0.1963 +2023-03-04 03:52:14,027 - mmseg - INFO - Iter [46400/160000] lr: 3.750e-05, eta: 6:32:13, time: 0.169, data_time: 0.007, memory: 52541, decode.loss_ce: 0.1910, decode.acc_seg: 92.0280, loss: 0.1910 +2023-03-04 03:52:22,493 - mmseg - INFO - Iter [46450/160000] lr: 3.750e-05, eta: 6:31:58, time: 0.170, data_time: 0.008, memory: 52541, decode.loss_ce: 0.1918, decode.acc_seg: 92.0910, loss: 0.1918 +2023-03-04 03:52:30,896 - mmseg - INFO - Iter [46500/160000] lr: 3.750e-05, eta: 6:31:43, time: 0.168, data_time: 0.007, memory: 52541, decode.loss_ce: 0.1941, decode.acc_seg: 92.0411, loss: 0.1941 +2023-03-04 03:52:39,336 - mmseg - INFO - Iter [46550/160000] lr: 3.750e-05, eta: 6:31:28, time: 0.169, data_time: 0.007, memory: 52541, decode.loss_ce: 0.1876, decode.acc_seg: 92.0376, loss: 0.1876 +2023-03-04 03:52:47,856 - mmseg - INFO - Iter [46600/160000] lr: 3.750e-05, eta: 6:31:13, time: 0.170, data_time: 0.007, memory: 52541, decode.loss_ce: 0.1910, decode.acc_seg: 92.2906, loss: 0.1910 +2023-03-04 03:52:56,104 - mmseg - INFO - Iter [46650/160000] lr: 3.750e-05, eta: 6:30:58, time: 0.165, data_time: 0.007, memory: 52541, decode.loss_ce: 0.1945, decode.acc_seg: 91.9148, loss: 0.1945 +2023-03-04 03:53:07,093 - mmseg - INFO - Iter [46700/160000] lr: 3.750e-05, eta: 6:30:49, time: 0.220, data_time: 0.059, memory: 52541, decode.loss_ce: 0.1943, decode.acc_seg: 92.1676, loss: 0.1943 +2023-03-04 03:53:15,552 - mmseg - INFO - Iter [46750/160000] lr: 3.750e-05, eta: 6:30:34, time: 0.169, data_time: 0.007, memory: 52541, decode.loss_ce: 0.1986, decode.acc_seg: 91.8017, loss: 0.1986 +2023-03-04 03:53:24,081 - mmseg - INFO - Iter [46800/160000] lr: 3.750e-05, eta: 6:30:19, time: 0.171, data_time: 0.007, memory: 52541, decode.loss_ce: 0.1837, decode.acc_seg: 92.3678, loss: 0.1837 +2023-03-04 03:53:32,440 - mmseg - INFO - Iter [46850/160000] lr: 3.750e-05, eta: 6:30:04, time: 0.167, data_time: 0.007, memory: 52541, decode.loss_ce: 0.2018, decode.acc_seg: 91.6549, loss: 0.2018 +2023-03-04 03:53:41,142 - mmseg - INFO - Iter [46900/160000] lr: 3.750e-05, eta: 6:29:50, time: 0.174, data_time: 0.007, memory: 52541, decode.loss_ce: 0.1939, decode.acc_seg: 92.1252, loss: 0.1939 +2023-03-04 03:53:49,429 - mmseg - INFO - Iter [46950/160000] lr: 3.750e-05, eta: 6:29:34, time: 0.166, data_time: 0.007, memory: 52541, decode.loss_ce: 0.1912, decode.acc_seg: 92.0522, loss: 0.1912 +2023-03-04 03:53:57,852 - mmseg - INFO - Exp name: ablation_segformer_mit_b2_segformer_head_unet_fc_small_multi_step_ade_pretrained_freeze_embed_160k_ade20k151_finetune_ema_winit.py +2023-03-04 03:53:57,852 - mmseg - INFO - Iter [47000/160000] lr: 3.750e-05, eta: 6:29:19, time: 0.168, data_time: 0.007, memory: 52541, decode.loss_ce: 0.1926, decode.acc_seg: 92.0523, loss: 0.1926 +2023-03-04 03:54:06,463 - mmseg - INFO - Iter [47050/160000] lr: 3.750e-05, eta: 6:29:05, time: 0.172, data_time: 0.007, memory: 52541, decode.loss_ce: 0.1963, decode.acc_seg: 92.0759, loss: 0.1963 +2023-03-04 03:54:15,218 - mmseg - INFO - Iter [47100/160000] lr: 3.750e-05, eta: 6:28:51, time: 0.175, data_time: 0.007, memory: 52541, decode.loss_ce: 0.1918, decode.acc_seg: 92.0694, loss: 0.1918 +2023-03-04 03:54:23,513 - mmseg - INFO - Iter [47150/160000] lr: 3.750e-05, eta: 6:28:36, time: 0.166, data_time: 0.007, memory: 52541, decode.loss_ce: 0.1940, decode.acc_seg: 92.1197, loss: 0.1940 +2023-03-04 03:54:31,740 - mmseg - INFO - Iter [47200/160000] lr: 3.750e-05, eta: 6:28:20, time: 0.165, data_time: 0.007, memory: 52541, decode.loss_ce: 0.1922, decode.acc_seg: 92.0416, loss: 0.1922 +2023-03-04 03:54:40,329 - mmseg - INFO - Iter [47250/160000] lr: 3.750e-05, eta: 6:28:06, time: 0.172, data_time: 0.007, memory: 52541, decode.loss_ce: 0.1966, decode.acc_seg: 92.0545, loss: 0.1966 +2023-03-04 03:54:48,755 - mmseg - INFO - Iter [47300/160000] lr: 3.750e-05, eta: 6:27:51, time: 0.169, data_time: 0.007, memory: 52541, decode.loss_ce: 0.1965, decode.acc_seg: 91.9501, loss: 0.1965 +2023-03-04 03:54:59,939 - mmseg - INFO - Iter [47350/160000] lr: 3.750e-05, eta: 6:27:43, time: 0.224, data_time: 0.056, memory: 52541, decode.loss_ce: 0.2077, decode.acc_seg: 91.4757, loss: 0.2077 +2023-03-04 03:55:08,551 - mmseg - INFO - Iter [47400/160000] lr: 3.750e-05, eta: 6:27:28, time: 0.172, data_time: 0.007, memory: 52541, decode.loss_ce: 0.1983, decode.acc_seg: 92.0397, loss: 0.1983 +2023-03-04 03:55:16,723 - mmseg - INFO - Iter [47450/160000] lr: 3.750e-05, eta: 6:27:13, time: 0.163, data_time: 0.007, memory: 52541, decode.loss_ce: 0.1874, decode.acc_seg: 92.1890, loss: 0.1874 +2023-03-04 03:55:25,413 - mmseg - INFO - Iter [47500/160000] lr: 3.750e-05, eta: 6:26:59, time: 0.174, data_time: 0.008, memory: 52541, decode.loss_ce: 0.1974, decode.acc_seg: 91.9354, loss: 0.1974 +2023-03-04 03:55:34,053 - mmseg - INFO - Iter [47550/160000] lr: 3.750e-05, eta: 6:26:44, time: 0.173, data_time: 0.008, memory: 52541, decode.loss_ce: 0.1970, decode.acc_seg: 92.0520, loss: 0.1970 +2023-03-04 03:55:42,916 - mmseg - INFO - Iter [47600/160000] lr: 3.750e-05, eta: 6:26:31, time: 0.177, data_time: 0.008, memory: 52541, decode.loss_ce: 0.1993, decode.acc_seg: 91.7755, loss: 0.1993 +2023-03-04 03:55:51,113 - mmseg - INFO - Iter [47650/160000] lr: 3.750e-05, eta: 6:26:15, time: 0.164, data_time: 0.007, memory: 52541, decode.loss_ce: 0.1982, decode.acc_seg: 91.9172, loss: 0.1982 +2023-03-04 03:55:59,733 - mmseg - INFO - Iter [47700/160000] lr: 3.750e-05, eta: 6:26:01, time: 0.172, data_time: 0.007, memory: 52541, decode.loss_ce: 0.1960, decode.acc_seg: 91.8412, loss: 0.1960 +2023-03-04 03:56:08,115 - mmseg - INFO - Iter [47750/160000] lr: 3.750e-05, eta: 6:25:46, time: 0.168, data_time: 0.007, memory: 52541, decode.loss_ce: 0.1936, decode.acc_seg: 92.0722, loss: 0.1936 +2023-03-04 03:56:16,496 - mmseg - INFO - Iter [47800/160000] lr: 3.750e-05, eta: 6:25:31, time: 0.167, data_time: 0.007, memory: 52541, decode.loss_ce: 0.1937, decode.acc_seg: 92.0161, loss: 0.1937 +2023-03-04 03:56:25,328 - mmseg - INFO - Iter [47850/160000] lr: 3.750e-05, eta: 6:25:18, time: 0.177, data_time: 0.007, memory: 52541, decode.loss_ce: 0.1855, decode.acc_seg: 92.3193, loss: 0.1855 +2023-03-04 03:56:33,941 - mmseg - INFO - Iter [47900/160000] lr: 3.750e-05, eta: 6:25:03, time: 0.172, data_time: 0.007, memory: 52541, decode.loss_ce: 0.1867, decode.acc_seg: 92.1012, loss: 0.1867 +2023-03-04 03:56:42,590 - mmseg - INFO - Iter [47950/160000] lr: 3.750e-05, eta: 6:24:49, time: 0.173, data_time: 0.007, memory: 52541, decode.loss_ce: 0.1895, decode.acc_seg: 92.2460, loss: 0.1895 +2023-03-04 03:56:53,976 - mmseg - INFO - Swap parameters (after train) after iter [48000] +2023-03-04 03:56:54,010 - mmseg - INFO - Saving checkpoint at 48000 iterations +2023-03-04 03:56:55,054 - mmseg - INFO - Exp name: ablation_segformer_mit_b2_segformer_head_unet_fc_small_multi_step_ade_pretrained_freeze_embed_160k_ade20k151_finetune_ema_winit.py +2023-03-04 03:56:55,054 - mmseg - INFO - Iter [48000/160000] lr: 3.750e-05, eta: 6:24:44, time: 0.249, data_time: 0.054, memory: 52541, decode.loss_ce: 0.1902, decode.acc_seg: 92.0833, loss: 0.1902 +2023-03-04 04:07:43,489 - mmseg - INFO - per class results: +2023-03-04 04:07:43,498 - mmseg - INFO - ++---------------------+-------------------------------------------------------------------+ +| Class | IoU 0,10,20,30,40,50,60,70,80,90,99 | ++---------------------+-------------------------------------------------------------------+ +| background | nan,nan,nan,nan,nan,nan,nan,nan,nan,nan,nan | +| wall | 77.36,77.36,77.36,77.38,77.38,77.38,77.38,77.38,77.39,77.39,77.39 | +| building | 81.64,81.65,81.65,81.65,81.65,81.65,81.65,81.65,81.65,81.65,81.65 | +| sky | 94.43,94.43,94.43,94.43,94.43,94.43,94.43,94.44,94.44,94.43,94.43 | +| floor | 81.62,81.62,81.61,81.6,81.61,81.6,81.61,81.6,81.58,81.59,81.59 | +| tree | 74.12,74.13,74.13,74.14,74.14,74.14,74.14,74.14,74.14,74.14,74.14 | +| ceiling | 85.37,85.38,85.37,85.39,85.39,85.41,85.41,85.41,85.42,85.43,85.43 | +| road | 82.03,82.03,82.01,82.02,82.01,82.01,82.0,82.0,82.01,81.99,81.99 | +| bed | 87.86,87.85,87.87,87.86,87.86,87.86,87.87,87.87,87.86,87.87,87.87 | +| windowpane | 60.59,60.56,60.57,60.56,60.55,60.56,60.55,60.57,60.54,60.55,60.55 | +| grass | 67.13,67.12,67.12,67.09,67.1,67.1,67.07,67.06,67.04,67.04,67.04 | +| cabinet | 60.55,60.56,60.56,60.56,60.5,60.5,60.47,60.46,60.5,60.46,60.5 | +| sidewalk | 64.29,64.3,64.3,64.32,64.33,64.32,64.35,64.37,64.36,64.37,64.37 | +| person | 79.53,79.53,79.53,79.55,79.54,79.55,79.55,79.55,79.56,79.56,79.57 | +| earth | 35.92,35.95,35.93,35.98,35.97,35.99,35.98,35.97,36.01,36.0,36.02 | +| door | 45.69,45.67,45.63,45.66,45.61,45.6,45.59,45.54,45.55,45.52,45.5 | +| table | 60.53,60.52,60.52,60.53,60.48,60.5,60.48,60.47,60.5,60.46,60.48 | +| mountain | 57.11,57.15,57.16,57.23,57.22,57.21,57.24,57.24,57.28,57.25,57.26 | +| plant | 50.03,50.04,50.05,50.04,50.04,50.04,50.04,50.02,50.04,50.05,50.04 | +| curtain | 74.65,74.61,74.62,74.59,74.57,74.55,74.54,74.53,74.48,74.5,74.47 | +| chair | 56.19,56.18,56.16,56.17,56.19,56.2,56.18,56.17,56.16,56.16,56.18 | +| car | 81.62,81.63,81.64,81.66,81.67,81.65,81.66,81.64,81.65,81.65,81.64 | +| water | 57.0,57.0,57.0,57.0,57.01,57.01,57.03,57.04,57.04,57.03,57.05 | +| painting | 70.24,70.24,70.26,70.31,70.36,70.43,70.46,70.5,70.54,70.6,70.63 | +| sofa | 64.23,64.25,64.23,64.23,64.25,64.24,64.27,64.25,64.24,64.25,64.26 | +| shelf | 43.9,43.9,43.87,43.88,43.87,43.85,43.84,43.81,43.81,43.76,43.77 | +| house | 42.69,42.66,42.64,42.61,42.59,42.54,42.53,42.5,42.47,42.45,42.42 | +| sea | 59.91,59.94,59.95,59.92,59.93,59.92,59.94,59.95,59.92,59.93,59.93 | +| mirror | 65.4,65.42,65.44,65.49,65.5,65.53,65.55,65.56,65.59,65.62,65.64 | +| rug | 64.58,64.59,64.55,64.46,64.44,64.28,64.31,64.22,64.02,64.0,63.99 | +| field | 30.59,30.61,30.6,30.62,30.6,30.61,30.63,30.62,30.63,30.65,30.64 | +| armchair | 37.67,37.69,37.64,37.64,37.64,37.64,37.65,37.6,37.62,37.61,37.6 | +| seat | 66.48,66.41,66.39,66.42,66.38,66.4,66.37,66.37,66.36,66.35,66.35 | +| fence | 40.77,40.84,40.84,40.91,40.91,40.86,40.92,40.92,40.98,41.0,40.99 | +| desk | 46.37,46.36,46.32,46.36,46.31,46.33,46.25,46.27,46.34,46.3,46.35 | +| rock | 36.84,36.81,36.82,36.8,36.81,36.83,36.83,36.81,36.81,36.81,36.81 | +| wardrobe | 57.24,57.22,57.22,57.21,57.2,57.19,57.17,57.17,57.21,57.16,57.19 | +| lamp | 61.61,61.59,61.62,61.64,61.6,61.61,61.61,61.62,61.58,61.6,61.57 | +| bathtub | 76.52,76.56,76.59,76.56,76.56,76.5,76.57,76.55,76.57,76.56,76.61 | +| railing | 33.47,33.43,33.4,33.38,33.35,33.35,33.33,33.35,33.31,33.3,33.29 | +| cushion | 55.84,55.83,55.84,55.81,55.86,55.77,55.84,55.83,55.79,55.83,55.84 | +| base | 21.61,21.66,21.72,21.69,21.74,21.7,21.77,21.75,21.8,21.85,21.85 | +| box | 23.28,23.29,23.28,23.28,23.3,23.31,23.33,23.32,23.32,23.35,23.33 | +| column | 45.98,46.03,46.03,46.07,46.12,46.11,46.18,46.21,46.2,46.22,46.24 | +| signboard | 37.9,37.9,37.92,37.95,37.98,37.95,37.99,37.99,38.0,38.01,37.99 | +| chest of drawers | 35.71,35.66,35.65,35.65,35.62,35.67,35.67,35.66,35.68,35.66,35.68 | +| counter | 30.75,30.75,30.78,30.79,30.82,30.85,30.86,30.87,30.86,30.92,30.92 | +| sand | 42.14,42.12,42.16,42.16,42.22,42.21,42.22,42.28,42.29,42.26,42.31 | +| sink | 67.61,67.59,67.63,67.65,67.62,67.64,67.65,67.63,67.66,67.65,67.67 | +| skyscraper | 49.04,49.01,49.03,49.02,49.06,49.0,49.08,49.12,49.01,49.05,49.04 | +| fireplace | 75.31,75.34,75.3,75.36,75.3,75.26,75.28,75.27,75.26,75.25,75.24 | +| refrigerator | 73.72,73.74,73.7,73.73,73.66,73.68,73.67,73.6,73.67,73.59,73.63 | +| grandstand | 51.64,51.64,51.53,51.53,51.4,51.29,51.23,51.12,51.14,51.02,50.99 | +| path | 22.28,22.31,22.33,22.34,22.36,22.35,22.35,22.36,22.38,22.36,22.38 | +| stairs | 32.22,32.19,32.17,32.21,32.17,32.12,32.14,32.05,32.09,32.04,32.03 | +| runway | 67.34,67.28,67.31,67.28,67.22,67.19,67.16,67.13,67.13,67.06,67.07 | +| case | 48.22,48.18,48.17,48.15,48.17,48.11,48.12,48.09,48.05,48.13,48.0 | +| pool table | 92.04,92.04,92.03,92.02,92.01,92.0,92.0,91.99,91.98,91.98,91.97 | +| pillow | 59.41,59.38,59.45,59.41,59.46,59.44,59.48,59.45,59.46,59.5,59.54 | +| screen door | 67.58,67.67,67.8,67.72,67.75,67.81,67.97,67.9,67.92,68.02,68.07 | +| stairway | 23.88,23.83,23.86,23.89,23.91,23.93,23.97,23.99,23.96,24.02,23.96 | +| river | 11.86,11.87,11.87,11.86,11.88,11.87,11.87,11.87,11.88,11.88,11.87 | +| bridge | 30.44,30.45,30.48,30.46,30.43,30.37,30.39,30.34,30.29,30.3,30.27 | +| bookcase | 45.66,45.63,45.62,45.65,45.62,45.66,45.62,45.56,45.67,45.56,45.67 | +| blind | 39.4,39.37,39.37,39.3,39.31,39.31,39.34,39.33,39.19,39.32,39.23 | +| coffee table | 53.39,53.39,53.3,53.3,53.23,53.22,53.21,53.14,53.16,53.08,53.11 | +| toilet | 83.94,84.0,84.03,84.06,84.04,84.08,84.09,84.11,84.14,84.15,84.2 | +| flower | 38.97,38.97,39.02,39.01,39.01,39.06,39.08,39.09,39.08,39.12,39.12 | +| book | 44.67,44.66,44.64,44.64,44.63,44.63,44.61,44.61,44.6,44.59,44.63 | +| hill | 15.24,15.24,15.26,15.29,15.33,15.4,15.39,15.45,15.47,15.5,15.52 | +| bench | 42.84,42.85,42.83,42.89,42.84,42.88,42.79,42.79,42.85,42.78,42.78 | +| countertop | 55.52,55.45,55.47,55.44,55.47,55.47,55.4,55.45,55.42,55.43,55.4 | +| stove | 71.28,71.31,71.34,71.32,71.31,71.33,71.32,71.32,71.27,71.3,71.32 | +| palm | 48.12,48.12,48.11,48.1,48.12,48.07,48.08,48.08,48.09,48.07,48.07 | +| kitchen island | 43.62,43.58,43.47,43.53,43.39,43.41,43.3,43.28,43.3,43.24,43.23 | +| computer | 60.64,60.65,60.63,60.64,60.64,60.65,60.66,60.65,60.65,60.68,60.67 | +| swivel chair | 43.59,43.52,43.46,43.45,43.41,43.39,43.34,43.31,43.25,43.23,43.28 | +| boat | 72.36,72.37,72.38,72.42,72.45,72.43,72.48,72.49,72.47,72.52,72.53 | +| bar | 23.47,23.47,23.48,23.49,23.49,23.48,23.47,23.48,23.48,23.49,23.49 | +| arcade machine | 71.34,71.49,71.38,71.6,71.62,71.64,71.77,71.82,71.94,71.9,72.01 | +| hovel | 31.78,31.65,31.51,31.38,31.34,31.23,31.16,30.94,30.99,30.82,30.66 | +| bus | 79.71,79.64,79.62,79.62,79.63,79.64,79.63,79.63,79.64,79.6,79.59 | +| towel | 63.32,63.43,63.43,63.45,63.47,63.43,63.45,63.48,63.47,63.45,63.47 | +| light | 55.43,55.27,55.24,55.14,55.17,55.14,55.06,55.04,54.99,54.92,54.84 | +| truck | 18.3,18.31,18.25,18.25,18.16,18.18,18.06,18.07,18.05,18.01,17.97 | +| tower | 8.81,8.82,8.85,8.86,8.86,8.83,8.89,8.89,8.85,8.9,8.89 | +| chandelier | 64.56,64.58,64.58,64.57,64.6,64.61,64.59,64.59,64.56,64.58,64.6 | +| awning | 24.0,23.94,23.92,23.93,23.93,23.97,23.9,23.89,23.76,23.77,23.81 | +| streetlight | 26.93,26.99,26.96,27.03,27.09,27.04,27.14,27.22,27.2,27.22,27.19 | +| booth | 46.61,46.76,47.04,47.12,47.22,47.09,47.27,47.16,47.35,47.4,47.4 | +| television receiver | 63.41,63.48,63.5,63.47,63.48,63.44,63.49,63.45,63.44,63.49,63.44 | +| airplane | 60.21,60.21,60.22,60.27,60.29,60.34,60.34,60.34,60.37,60.38,60.36 | +| dirt track | 20.54,20.66,20.69,20.76,20.83,20.95,20.94,21.0,21.0,20.96,21.13 | +| apparel | 32.78,32.78,32.76,32.66,32.74,32.77,32.73,32.72,32.76,32.77,32.75 | +| pole | 19.45,19.36,19.29,19.21,19.23,19.29,19.24,19.2,19.16,19.17,19.16 | +| land | 3.08,3.02,3.01,3.04,3.0,3.0,2.93,2.96,2.99,2.92,2.94 | +| bannister | 12.75,12.76,12.7,12.68,12.7,12.69,12.77,12.72,12.67,12.72,12.56 | +| escalator | 24.17,24.11,24.11,24.14,24.11,24.09,24.1,24.13,24.1,24.11,24.0 | +| ottoman | 43.9,43.82,43.86,43.83,43.62,43.85,43.63,43.63,43.6,43.55,43.66 | +| bottle | 34.83,34.81,34.81,34.84,34.78,34.8,34.85,34.78,34.8,34.79,34.78 | +| buffet | 40.01,39.97,40.07,40.13,40.2,40.24,40.29,40.38,40.28,40.39,40.39 | +| poster | 22.92,22.92,22.88,22.93,22.91,22.93,22.95,22.95,23.0,22.96,23.01 | +| stage | 14.95,14.92,14.86,14.85,14.83,14.83,14.88,14.81,14.76,14.72,14.62 | +| van | 38.57,38.6,38.63,38.7,38.63,38.61,38.6,38.6,38.65,38.64,38.63 | +| ship | 81.97,81.99,82.06,82.03,82.06,82.11,82.1,82.13,82.14,82.17,82.19 | +| fountain | 21.35,21.18,21.21,21.32,21.37,21.42,21.53,21.52,21.44,21.49,21.44 | +| conveyer belt | 84.92,84.95,84.97,84.96,84.95,85.03,85.0,84.95,85.05,85.04,85.1 | +| canopy | 25.83,25.79,25.75,25.72,25.77,25.71,25.73,25.75,25.78,25.76,25.54 | +| washer | 75.77,75.8,75.73,75.84,75.84,75.74,75.8,75.81,75.85,75.77,75.69 | +| plaything | 20.98,20.94,20.97,20.91,20.96,20.99,20.95,20.96,20.94,20.96,20.98 | +| swimming pool | 73.26,73.34,73.26,73.15,73.19,73.07,73.14,73.24,73.02,73.02,72.99 | +| stool | 44.26,44.26,44.23,44.25,44.17,44.16,44.11,44.1,44.13,44.08,44.16 | +| barrel | 48.92,48.38,48.52,49.68,49.56,50.1,49.6,49.73,50.1,50.78,50.71 | +| basket | 24.24,24.24,24.24,24.27,24.26,24.27,24.3,24.28,24.28,24.28,24.27 | +| waterfall | 49.45,49.47,49.53,49.52,49.54,49.55,49.58,49.58,49.56,49.58,49.66 | +| tent | 94.76,94.78,94.71,94.74,94.73,94.74,94.74,94.73,94.75,94.73,94.74 | +| bag | 16.14,16.21,16.21,16.31,16.34,16.36,16.46,16.46,16.44,16.55,16.54 | +| minibike | 62.57,62.54,62.46,62.39,62.4,62.33,62.21,62.16,62.12,62.07,62.0 | +| cradle | 83.67,83.61,83.64,83.72,83.72,83.77,83.71,83.77,83.8,83.76,83.77 | +| oven | 47.35,47.32,47.31,47.22,47.25,47.23,47.11,47.16,47.16,47.09,46.95 | +| ball | 46.32,46.39,46.38,46.47,46.5,46.6,46.63,46.67,46.68,46.75,46.69 | +| food | 55.61,55.58,55.6,55.64,55.66,55.71,55.66,55.69,55.63,55.69,55.73 | +| step | 5.31,5.23,5.16,5.12,4.98,4.91,4.83,4.83,4.76,4.64,4.6 | +| tank | 51.77,51.69,51.64,51.68,51.59,51.66,51.56,51.48,51.67,51.5,51.54 | +| trade name | 28.53,28.56,28.61,28.61,28.71,28.65,28.57,28.69,28.65,28.58,28.76 | +| microwave | 72.33,72.25,72.22,72.24,72.28,72.22,72.15,72.16,72.15,72.12,72.13 | +| pot | 30.57,30.58,30.59,30.56,30.6,30.55,30.59,30.57,30.57,30.58,30.59 | +| animal | 55.2,55.18,55.18,55.17,55.17,55.21,55.14,55.17,55.16,55.14,55.13 | +| bicycle | 53.95,53.96,53.93,54.0,54.04,54.06,54.04,54.05,54.22,54.18,54.14 | +| lake | 56.83,56.84,56.83,56.86,56.85,56.86,56.85,56.83,56.87,56.86,56.86 | +| dishwasher | 63.75,63.76,63.82,63.65,63.68,63.65,63.66,63.53,63.49,63.52,63.63 | +| screen | 69.08,69.06,68.93,68.89,68.95,68.98,68.94,68.88,68.87,68.9,68.93 | +| blanket | 17.16,17.08,17.14,17.13,17.16,17.16,17.1,17.15,17.14,17.11,17.15 | +| sculpture | 58.3,58.25,58.26,58.25,58.15,58.36,58.28,58.31,58.38,58.33,58.48 | +| hood | 58.92,58.96,59.0,58.93,59.02,59.01,59.15,59.03,59.07,59.13,59.15 | +| sconce | 42.88,42.82,42.88,42.85,42.81,42.86,42.85,42.86,42.8,42.86,42.78 | +| vase | 37.09,37.19,37.15,37.18,37.11,37.15,37.17,37.2,37.19,37.19,37.24 | +| traffic light | 32.96,33.06,33.03,33.08,33.05,33.02,33.14,33.09,33.11,33.14,33.15 | +| tray | 7.06,7.04,7.09,7.14,7.12,7.15,7.14,7.19,7.21,7.2,7.24 | +| ashcan | 42.09,42.1,42.14,42.08,42.02,42.05,42.06,42.0,42.01,42.0,42.07 | +| fan | 58.58,58.49,58.46,58.46,58.54,58.47,58.49,58.45,58.5,58.46,58.43 | +| pier | 47.29,47.22,47.52,47.58,47.56,47.86,48.08,48.03,48.37,48.66,48.64 | +| crt screen | 10.26,10.3,10.32,10.32,10.34,10.35,10.39,10.43,10.4,10.45,10.47 | +| plate | 53.34,53.29,53.29,53.27,53.24,53.2,53.17,53.11,53.13,53.05,53.06 | +| monitor | 19.17,19.22,19.33,19.26,19.53,19.47,19.7,19.81,19.63,19.89,19.85 | +| bulletin board | 37.72,37.87,38.04,38.03,38.18,38.17,38.42,38.5,38.61,38.67,38.74 | +| shower | 1.62,1.63,1.66,1.64,1.64,1.66,1.61,1.63,1.61,1.62,1.62 | +| radiator | 59.79,59.69,59.74,59.7,59.8,59.84,59.76,59.76,59.9,59.93,59.97 | +| glass | 13.48,13.45,13.4,13.42,13.39,13.36,13.39,13.37,13.37,13.31,13.29 | +| clock | 35.65,35.9,35.84,35.75,35.73,35.58,35.7,35.54,35.64,35.6,35.51 | +| flag | 34.44,34.31,34.32,34.28,34.26,34.08,33.98,34.0,33.98,33.73,33.72 | ++---------------------+-------------------------------------------------------------------+ +2023-03-04 04:07:43,498 - mmseg - INFO - Summary: +2023-03-04 04:07:43,498 - mmseg - INFO - ++-------------------------------------------------------------------+ +| mIoU 0,10,20,30,40,50,60,70,80,90,99 | ++-------------------------------------------------------------------+ +| 48.65,48.64,48.64,48.65,48.65,48.66,48.66,48.65,48.66,48.66,48.66 | ++-------------------------------------------------------------------+ +2023-03-04 04:07:43,533 - mmseg - INFO - The previous best checkpoint /mnt/petrelfs/laizeqiang/mmseg-baseline/work_dirs2/ablation_segformer_mit_b2_segformer_head_unet_fc_small_multi_step_ade_pretrained_freeze_embed_160k_ade20k151_finetune_ema_winit/best_mIoU_iter_32000.pth was removed +2023-03-04 04:07:44,449 - mmseg - INFO - Now best checkpoint is saved as best_mIoU_iter_48000.pth. +2023-03-04 04:07:44,449 - mmseg - INFO - Best mIoU is 0.4866 at 48000 iter. +2023-03-04 04:07:44,450 - mmseg - INFO - Exp name: ablation_segformer_mit_b2_segformer_head_unet_fc_small_multi_step_ade_pretrained_freeze_embed_160k_ade20k151_finetune_ema_winit.py +2023-03-04 04:07:44,450 - mmseg - INFO - Iter(val) [250] mIoU: [0.4865, 0.4864, 0.4864, 0.4865, 0.4865, 0.4866, 0.4866, 0.4865, 0.4866, 0.4866, 0.4866], copy_paste: 48.65,48.64,48.64,48.65,48.65,48.66,48.66,48.65,48.66,48.66,48.66 +2023-03-04 04:07:44,456 - mmseg - INFO - Swap parameters (before train) before iter [48001] +2023-03-04 04:07:52,984 - mmseg - INFO - Iter [48050/160000] lr: 3.750e-05, eta: 6:49:42, time: 13.159, data_time: 12.996, memory: 52541, decode.loss_ce: 0.1986, decode.acc_seg: 91.9304, loss: 0.1986 +2023-03-04 04:08:01,636 - mmseg - INFO - Iter [48100/160000] lr: 3.750e-05, eta: 6:49:26, time: 0.173, data_time: 0.008, memory: 52541, decode.loss_ce: 0.1942, decode.acc_seg: 92.1155, loss: 0.1942 +2023-03-04 04:08:10,136 - mmseg - INFO - Iter [48150/160000] lr: 3.750e-05, eta: 6:49:09, time: 0.170, data_time: 0.007, memory: 52541, decode.loss_ce: 0.1951, decode.acc_seg: 92.0329, loss: 0.1951 +2023-03-04 04:08:18,424 - mmseg - INFO - Iter [48200/160000] lr: 3.750e-05, eta: 6:48:52, time: 0.166, data_time: 0.007, memory: 52541, decode.loss_ce: 0.1975, decode.acc_seg: 91.9342, loss: 0.1975 +2023-03-04 04:08:26,941 - mmseg - INFO - Iter [48250/160000] lr: 3.750e-05, eta: 6:48:35, time: 0.171, data_time: 0.007, memory: 52541, decode.loss_ce: 0.1959, decode.acc_seg: 91.9181, loss: 0.1959 +2023-03-04 04:08:35,710 - mmseg - INFO - Iter [48300/160000] lr: 3.750e-05, eta: 6:48:19, time: 0.175, data_time: 0.007, memory: 52541, decode.loss_ce: 0.1982, decode.acc_seg: 91.8283, loss: 0.1982 +2023-03-04 04:08:44,051 - mmseg - INFO - Iter [48350/160000] lr: 3.750e-05, eta: 6:48:02, time: 0.167, data_time: 0.007, memory: 52541, decode.loss_ce: 0.1905, decode.acc_seg: 92.0700, loss: 0.1905 +2023-03-04 04:08:53,038 - mmseg - INFO - Iter [48400/160000] lr: 3.750e-05, eta: 6:47:47, time: 0.180, data_time: 0.008, memory: 52541, decode.loss_ce: 0.1922, decode.acc_seg: 92.0463, loss: 0.1922 +2023-03-04 04:09:01,590 - mmseg - INFO - Iter [48450/160000] lr: 3.750e-05, eta: 6:47:30, time: 0.171, data_time: 0.008, memory: 52541, decode.loss_ce: 0.1948, decode.acc_seg: 92.0080, loss: 0.1948 +2023-03-04 04:09:10,675 - mmseg - INFO - Iter [48500/160000] lr: 3.750e-05, eta: 6:47:15, time: 0.182, data_time: 0.009, memory: 52541, decode.loss_ce: 0.1868, decode.acc_seg: 92.2548, loss: 0.1868 +2023-03-04 04:09:19,282 - mmseg - INFO - Iter [48550/160000] lr: 3.750e-05, eta: 6:46:59, time: 0.172, data_time: 0.008, memory: 52541, decode.loss_ce: 0.1898, decode.acc_seg: 92.2386, loss: 0.1898 +2023-03-04 04:09:30,137 - mmseg - INFO - Iter [48600/160000] lr: 3.750e-05, eta: 6:46:47, time: 0.217, data_time: 0.055, memory: 52541, decode.loss_ce: 0.1978, decode.acc_seg: 91.8449, loss: 0.1978 +2023-03-04 04:09:38,694 - mmseg - INFO - Iter [48650/160000] lr: 3.750e-05, eta: 6:46:31, time: 0.171, data_time: 0.007, memory: 52541, decode.loss_ce: 0.1929, decode.acc_seg: 91.9884, loss: 0.1929 +2023-03-04 04:09:47,042 - mmseg - INFO - Iter [48700/160000] lr: 3.750e-05, eta: 6:46:14, time: 0.167, data_time: 0.007, memory: 52541, decode.loss_ce: 0.1879, decode.acc_seg: 92.2421, loss: 0.1879 +2023-03-04 04:09:56,048 - mmseg - INFO - Iter [48750/160000] lr: 3.750e-05, eta: 6:45:59, time: 0.180, data_time: 0.007, memory: 52541, decode.loss_ce: 0.1842, decode.acc_seg: 92.3575, loss: 0.1842 +2023-03-04 04:10:04,267 - mmseg - INFO - Iter [48800/160000] lr: 3.750e-05, eta: 6:45:42, time: 0.164, data_time: 0.007, memory: 52541, decode.loss_ce: 0.1910, decode.acc_seg: 92.0351, loss: 0.1910 +2023-03-04 04:10:12,917 - mmseg - INFO - Iter [48850/160000] lr: 3.750e-05, eta: 6:45:25, time: 0.173, data_time: 0.007, memory: 52541, decode.loss_ce: 0.1958, decode.acc_seg: 91.9432, loss: 0.1958 +2023-03-04 04:10:21,502 - mmseg - INFO - Iter [48900/160000] lr: 3.750e-05, eta: 6:45:09, time: 0.172, data_time: 0.007, memory: 52541, decode.loss_ce: 0.1936, decode.acc_seg: 91.9992, loss: 0.1936 +2023-03-04 04:10:29,879 - mmseg - INFO - Iter [48950/160000] lr: 3.750e-05, eta: 6:44:52, time: 0.167, data_time: 0.007, memory: 52541, decode.loss_ce: 0.2008, decode.acc_seg: 91.7626, loss: 0.2008 +2023-03-04 04:10:38,377 - mmseg - INFO - Exp name: ablation_segformer_mit_b2_segformer_head_unet_fc_small_multi_step_ade_pretrained_freeze_embed_160k_ade20k151_finetune_ema_winit.py +2023-03-04 04:10:38,377 - mmseg - INFO - Iter [49000/160000] lr: 3.750e-05, eta: 6:44:36, time: 0.170, data_time: 0.008, memory: 52541, decode.loss_ce: 0.2034, decode.acc_seg: 91.5852, loss: 0.2034 +2023-03-04 04:10:46,829 - mmseg - INFO - Iter [49050/160000] lr: 3.750e-05, eta: 6:44:19, time: 0.169, data_time: 0.007, memory: 52541, decode.loss_ce: 0.1938, decode.acc_seg: 92.1630, loss: 0.1938 +2023-03-04 04:10:55,568 - mmseg - INFO - Iter [49100/160000] lr: 3.750e-05, eta: 6:44:03, time: 0.175, data_time: 0.007, memory: 52541, decode.loss_ce: 0.1919, decode.acc_seg: 92.1927, loss: 0.1919 +2023-03-04 04:11:04,369 - mmseg - INFO - Iter [49150/160000] lr: 3.750e-05, eta: 6:43:48, time: 0.176, data_time: 0.007, memory: 52541, decode.loss_ce: 0.1880, decode.acc_seg: 92.1713, loss: 0.1880 +2023-03-04 04:11:13,187 - mmseg - INFO - Iter [49200/160000] lr: 3.750e-05, eta: 6:43:32, time: 0.176, data_time: 0.007, memory: 52541, decode.loss_ce: 0.1899, decode.acc_seg: 92.2008, loss: 0.1899 +2023-03-04 04:11:24,202 - mmseg - INFO - Iter [49250/160000] lr: 3.750e-05, eta: 6:43:21, time: 0.220, data_time: 0.056, memory: 52541, decode.loss_ce: 0.1935, decode.acc_seg: 92.1176, loss: 0.1935 +2023-03-04 04:11:32,505 - mmseg - INFO - Iter [49300/160000] lr: 3.750e-05, eta: 6:43:04, time: 0.166, data_time: 0.007, memory: 52541, decode.loss_ce: 0.1936, decode.acc_seg: 92.1047, loss: 0.1936 +2023-03-04 04:11:41,194 - mmseg - INFO - Iter [49350/160000] lr: 3.750e-05, eta: 6:42:49, time: 0.174, data_time: 0.007, memory: 52541, decode.loss_ce: 0.1935, decode.acc_seg: 92.0444, loss: 0.1935 +2023-03-04 04:11:49,957 - mmseg - INFO - Iter [49400/160000] lr: 3.750e-05, eta: 6:42:33, time: 0.175, data_time: 0.007, memory: 52541, decode.loss_ce: 0.1836, decode.acc_seg: 92.5224, loss: 0.1836 +2023-03-04 04:11:58,439 - mmseg - INFO - Iter [49450/160000] lr: 3.750e-05, eta: 6:42:16, time: 0.170, data_time: 0.007, memory: 52541, decode.loss_ce: 0.1913, decode.acc_seg: 92.1678, loss: 0.1913 +2023-03-04 04:12:06,933 - mmseg - INFO - Iter [49500/160000] lr: 3.750e-05, eta: 6:42:00, time: 0.170, data_time: 0.007, memory: 52541, decode.loss_ce: 0.1926, decode.acc_seg: 92.0439, loss: 0.1926 +2023-03-04 04:12:15,591 - mmseg - INFO - Iter [49550/160000] lr: 3.750e-05, eta: 6:41:44, time: 0.173, data_time: 0.008, memory: 52541, decode.loss_ce: 0.1882, decode.acc_seg: 92.3237, loss: 0.1882 +2023-03-04 04:12:24,616 - mmseg - INFO - Iter [49600/160000] lr: 3.750e-05, eta: 6:41:29, time: 0.180, data_time: 0.008, memory: 52541, decode.loss_ce: 0.1978, decode.acc_seg: 91.8610, loss: 0.1978 +2023-03-04 04:12:33,238 - mmseg - INFO - Iter [49650/160000] lr: 3.750e-05, eta: 6:41:13, time: 0.172, data_time: 0.007, memory: 52541, decode.loss_ce: 0.1986, decode.acc_seg: 92.0488, loss: 0.1986 +2023-03-04 04:12:41,682 - mmseg - INFO - Iter [49700/160000] lr: 3.750e-05, eta: 6:40:57, time: 0.169, data_time: 0.007, memory: 52541, decode.loss_ce: 0.1998, decode.acc_seg: 91.8466, loss: 0.1998 +2023-03-04 04:12:49,968 - mmseg - INFO - Iter [49750/160000] lr: 3.750e-05, eta: 6:40:40, time: 0.166, data_time: 0.007, memory: 52541, decode.loss_ce: 0.1937, decode.acc_seg: 92.0016, loss: 0.1937 +2023-03-04 04:12:58,573 - mmseg - INFO - Iter [49800/160000] lr: 3.750e-05, eta: 6:40:24, time: 0.172, data_time: 0.007, memory: 52541, decode.loss_ce: 0.1993, decode.acc_seg: 91.7791, loss: 0.1993 +2023-03-04 04:13:09,896 - mmseg - INFO - Iter [49850/160000] lr: 3.750e-05, eta: 6:40:14, time: 0.226, data_time: 0.055, memory: 52541, decode.loss_ce: 0.1978, decode.acc_seg: 91.9671, loss: 0.1978 +2023-03-04 04:13:18,581 - mmseg - INFO - Iter [49900/160000] lr: 3.750e-05, eta: 6:39:58, time: 0.174, data_time: 0.007, memory: 52541, decode.loss_ce: 0.2010, decode.acc_seg: 91.7547, loss: 0.2010 +2023-03-04 04:13:27,088 - mmseg - INFO - Iter [49950/160000] lr: 3.750e-05, eta: 6:39:42, time: 0.170, data_time: 0.007, memory: 52541, decode.loss_ce: 0.1988, decode.acc_seg: 91.8963, loss: 0.1988 +2023-03-04 04:13:35,463 - mmseg - INFO - Exp name: ablation_segformer_mit_b2_segformer_head_unet_fc_small_multi_step_ade_pretrained_freeze_embed_160k_ade20k151_finetune_ema_winit.py +2023-03-04 04:13:35,463 - mmseg - INFO - Iter [50000/160000] lr: 3.750e-05, eta: 6:39:26, time: 0.167, data_time: 0.007, memory: 52541, decode.loss_ce: 0.1871, decode.acc_seg: 92.2123, loss: 0.1871 +2023-03-04 04:13:44,082 - mmseg - INFO - Iter [50050/160000] lr: 3.750e-05, eta: 6:39:10, time: 0.172, data_time: 0.007, memory: 52541, decode.loss_ce: 0.1898, decode.acc_seg: 92.2303, loss: 0.1898 +2023-03-04 04:13:52,990 - mmseg - INFO - Iter [50100/160000] lr: 3.750e-05, eta: 6:38:54, time: 0.178, data_time: 0.007, memory: 52541, decode.loss_ce: 0.1918, decode.acc_seg: 92.0588, loss: 0.1918 +2023-03-04 04:14:01,534 - mmseg - INFO - Iter [50150/160000] lr: 3.750e-05, eta: 6:38:38, time: 0.171, data_time: 0.008, memory: 52541, decode.loss_ce: 0.1861, decode.acc_seg: 92.2376, loss: 0.1861 +2023-03-04 04:14:10,021 - mmseg - INFO - Iter [50200/160000] lr: 3.750e-05, eta: 6:38:22, time: 0.170, data_time: 0.007, memory: 52541, decode.loss_ce: 0.2020, decode.acc_seg: 91.8911, loss: 0.2020 +2023-03-04 04:14:18,601 - mmseg - INFO - Iter [50250/160000] lr: 3.750e-05, eta: 6:38:06, time: 0.171, data_time: 0.007, memory: 52541, decode.loss_ce: 0.1968, decode.acc_seg: 91.8728, loss: 0.1968 +2023-03-04 04:14:27,327 - mmseg - INFO - Iter [50300/160000] lr: 3.750e-05, eta: 6:37:51, time: 0.175, data_time: 0.007, memory: 52541, decode.loss_ce: 0.1928, decode.acc_seg: 91.9552, loss: 0.1928 +2023-03-04 04:14:35,633 - mmseg - INFO - Iter [50350/160000] lr: 3.750e-05, eta: 6:37:34, time: 0.166, data_time: 0.007, memory: 52541, decode.loss_ce: 0.2048, decode.acc_seg: 91.7118, loss: 0.2048 +2023-03-04 04:14:44,128 - mmseg - INFO - Iter [50400/160000] lr: 3.750e-05, eta: 6:37:18, time: 0.170, data_time: 0.008, memory: 52541, decode.loss_ce: 0.1925, decode.acc_seg: 91.9966, loss: 0.1925 +2023-03-04 04:14:52,900 - mmseg - INFO - Iter [50450/160000] lr: 3.750e-05, eta: 6:37:03, time: 0.175, data_time: 0.007, memory: 52541, decode.loss_ce: 0.1932, decode.acc_seg: 91.9605, loss: 0.1932 +2023-03-04 04:15:04,037 - mmseg - INFO - Iter [50500/160000] lr: 3.750e-05, eta: 6:36:52, time: 0.222, data_time: 0.058, memory: 52541, decode.loss_ce: 0.1932, decode.acc_seg: 92.0984, loss: 0.1932 +2023-03-04 04:15:12,882 - mmseg - INFO - Iter [50550/160000] lr: 3.750e-05, eta: 6:36:37, time: 0.177, data_time: 0.007, memory: 52541, decode.loss_ce: 0.1863, decode.acc_seg: 92.3492, loss: 0.1863 +2023-03-04 04:15:21,202 - mmseg - INFO - Iter [50600/160000] lr: 3.750e-05, eta: 6:36:21, time: 0.166, data_time: 0.007, memory: 52541, decode.loss_ce: 0.1916, decode.acc_seg: 92.0878, loss: 0.1916 +2023-03-04 04:15:29,532 - mmseg - INFO - Iter [50650/160000] lr: 3.750e-05, eta: 6:36:04, time: 0.167, data_time: 0.007, memory: 52541, decode.loss_ce: 0.1911, decode.acc_seg: 92.1542, loss: 0.1911 +2023-03-04 04:15:38,011 - mmseg - INFO - Iter [50700/160000] lr: 3.750e-05, eta: 6:35:48, time: 0.170, data_time: 0.007, memory: 52541, decode.loss_ce: 0.1952, decode.acc_seg: 92.0850, loss: 0.1952 +2023-03-04 04:15:46,705 - mmseg - INFO - Iter [50750/160000] lr: 3.750e-05, eta: 6:35:33, time: 0.174, data_time: 0.008, memory: 52541, decode.loss_ce: 0.1961, decode.acc_seg: 92.0307, loss: 0.1961 +2023-03-04 04:15:55,402 - mmseg - INFO - Iter [50800/160000] lr: 3.750e-05, eta: 6:35:17, time: 0.174, data_time: 0.007, memory: 52541, decode.loss_ce: 0.1970, decode.acc_seg: 92.0839, loss: 0.1970 +2023-03-04 04:16:03,722 - mmseg - INFO - Iter [50850/160000] lr: 3.750e-05, eta: 6:35:01, time: 0.167, data_time: 0.007, memory: 52541, decode.loss_ce: 0.2000, decode.acc_seg: 91.8446, loss: 0.2000 +2023-03-04 04:16:12,176 - mmseg - INFO - Iter [50900/160000] lr: 3.750e-05, eta: 6:34:45, time: 0.169, data_time: 0.008, memory: 52541, decode.loss_ce: 0.1974, decode.acc_seg: 91.8152, loss: 0.1974 +2023-03-04 04:16:20,716 - mmseg - INFO - Iter [50950/160000] lr: 3.750e-05, eta: 6:34:29, time: 0.171, data_time: 0.007, memory: 52541, decode.loss_ce: 0.1866, decode.acc_seg: 92.3340, loss: 0.1866 +2023-03-04 04:16:29,352 - mmseg - INFO - Exp name: ablation_segformer_mit_b2_segformer_head_unet_fc_small_multi_step_ade_pretrained_freeze_embed_160k_ade20k151_finetune_ema_winit.py +2023-03-04 04:16:29,352 - mmseg - INFO - Iter [51000/160000] lr: 3.750e-05, eta: 6:34:14, time: 0.173, data_time: 0.007, memory: 52541, decode.loss_ce: 0.1926, decode.acc_seg: 92.1138, loss: 0.1926 +2023-03-04 04:16:37,985 - mmseg - INFO - Iter [51050/160000] lr: 3.750e-05, eta: 6:33:58, time: 0.173, data_time: 0.007, memory: 52541, decode.loss_ce: 0.1942, decode.acc_seg: 91.9658, loss: 0.1942 +2023-03-04 04:16:46,659 - mmseg - INFO - Iter [51100/160000] lr: 3.750e-05, eta: 6:33:43, time: 0.173, data_time: 0.007, memory: 52541, decode.loss_ce: 0.1955, decode.acc_seg: 91.8659, loss: 0.1955 +2023-03-04 04:16:57,555 - mmseg - INFO - Iter [51150/160000] lr: 3.750e-05, eta: 6:33:32, time: 0.218, data_time: 0.056, memory: 52541, decode.loss_ce: 0.1889, decode.acc_seg: 92.3439, loss: 0.1889 +2023-03-04 04:17:06,083 - mmseg - INFO - Iter [51200/160000] lr: 3.750e-05, eta: 6:33:16, time: 0.171, data_time: 0.007, memory: 52541, decode.loss_ce: 0.1907, decode.acc_seg: 92.0437, loss: 0.1907 +2023-03-04 04:17:14,635 - mmseg - INFO - Iter [51250/160000] lr: 3.750e-05, eta: 6:33:00, time: 0.171, data_time: 0.007, memory: 52541, decode.loss_ce: 0.1913, decode.acc_seg: 92.2106, loss: 0.1913 +2023-03-04 04:17:23,110 - mmseg - INFO - Iter [51300/160000] lr: 3.750e-05, eta: 6:32:45, time: 0.170, data_time: 0.007, memory: 52541, decode.loss_ce: 0.1907, decode.acc_seg: 92.0512, loss: 0.1907 +2023-03-04 04:17:31,729 - mmseg - INFO - Iter [51350/160000] lr: 3.750e-05, eta: 6:32:29, time: 0.172, data_time: 0.007, memory: 52541, decode.loss_ce: 0.2052, decode.acc_seg: 91.6382, loss: 0.2052 +2023-03-04 04:17:40,235 - mmseg - INFO - Iter [51400/160000] lr: 3.750e-05, eta: 6:32:13, time: 0.170, data_time: 0.007, memory: 52541, decode.loss_ce: 0.1885, decode.acc_seg: 92.1217, loss: 0.1885 +2023-03-04 04:17:48,685 - mmseg - INFO - Iter [51450/160000] lr: 3.750e-05, eta: 6:31:57, time: 0.169, data_time: 0.007, memory: 52541, decode.loss_ce: 0.1876, decode.acc_seg: 92.2861, loss: 0.1876 +2023-03-04 04:17:57,277 - mmseg - INFO - Iter [51500/160000] lr: 3.750e-05, eta: 6:31:42, time: 0.172, data_time: 0.007, memory: 52541, decode.loss_ce: 0.1879, decode.acc_seg: 92.3185, loss: 0.1879 +2023-03-04 04:18:05,544 - mmseg - INFO - Iter [51550/160000] lr: 3.750e-05, eta: 6:31:26, time: 0.165, data_time: 0.007, memory: 52541, decode.loss_ce: 0.1915, decode.acc_seg: 92.1669, loss: 0.1915 +2023-03-04 04:18:13,952 - mmseg - INFO - Iter [51600/160000] lr: 3.750e-05, eta: 6:31:10, time: 0.168, data_time: 0.007, memory: 52541, decode.loss_ce: 0.1853, decode.acc_seg: 92.2619, loss: 0.1853 +2023-03-04 04:18:22,311 - mmseg - INFO - Iter [51650/160000] lr: 3.750e-05, eta: 6:30:54, time: 0.167, data_time: 0.007, memory: 52541, decode.loss_ce: 0.1969, decode.acc_seg: 91.8927, loss: 0.1969 +2023-03-04 04:18:30,972 - mmseg - INFO - Iter [51700/160000] lr: 3.750e-05, eta: 6:30:38, time: 0.173, data_time: 0.007, memory: 52541, decode.loss_ce: 0.1969, decode.acc_seg: 92.0703, loss: 0.1969 +2023-03-04 04:18:42,179 - mmseg - INFO - Iter [51750/160000] lr: 3.750e-05, eta: 6:30:28, time: 0.224, data_time: 0.053, memory: 52541, decode.loss_ce: 0.1914, decode.acc_seg: 92.0876, loss: 0.1914 +2023-03-04 04:18:50,560 - mmseg - INFO - Iter [51800/160000] lr: 3.750e-05, eta: 6:30:12, time: 0.168, data_time: 0.007, memory: 52541, decode.loss_ce: 0.1953, decode.acc_seg: 92.0154, loss: 0.1953 +2023-03-04 04:18:59,148 - mmseg - INFO - Iter [51850/160000] lr: 3.750e-05, eta: 6:29:57, time: 0.172, data_time: 0.007, memory: 52541, decode.loss_ce: 0.1999, decode.acc_seg: 91.9192, loss: 0.1999 +2023-03-04 04:19:07,752 - mmseg - INFO - Iter [51900/160000] lr: 3.750e-05, eta: 6:29:41, time: 0.172, data_time: 0.007, memory: 52541, decode.loss_ce: 0.1838, decode.acc_seg: 92.3691, loss: 0.1838 +2023-03-04 04:19:16,375 - mmseg - INFO - Iter [51950/160000] lr: 3.750e-05, eta: 6:29:26, time: 0.172, data_time: 0.007, memory: 52541, decode.loss_ce: 0.1934, decode.acc_seg: 92.1405, loss: 0.1934 +2023-03-04 04:19:24,738 - mmseg - INFO - Exp name: ablation_segformer_mit_b2_segformer_head_unet_fc_small_multi_step_ade_pretrained_freeze_embed_160k_ade20k151_finetune_ema_winit.py +2023-03-04 04:19:24,738 - mmseg - INFO - Iter [52000/160000] lr: 3.750e-05, eta: 6:29:10, time: 0.167, data_time: 0.007, memory: 52541, decode.loss_ce: 0.2007, decode.acc_seg: 91.8247, loss: 0.2007 +2023-03-04 04:19:33,515 - mmseg - INFO - Iter [52050/160000] lr: 3.750e-05, eta: 6:28:55, time: 0.176, data_time: 0.007, memory: 52541, decode.loss_ce: 0.1914, decode.acc_seg: 92.1454, loss: 0.1914 +2023-03-04 04:19:41,997 - mmseg - INFO - Iter [52100/160000] lr: 3.750e-05, eta: 6:28:40, time: 0.169, data_time: 0.007, memory: 52541, decode.loss_ce: 0.1975, decode.acc_seg: 92.0016, loss: 0.1975 +2023-03-04 04:19:50,687 - mmseg - INFO - Iter [52150/160000] lr: 3.750e-05, eta: 6:28:24, time: 0.174, data_time: 0.008, memory: 52541, decode.loss_ce: 0.1957, decode.acc_seg: 91.7796, loss: 0.1957 +2023-03-04 04:19:59,409 - mmseg - INFO - Iter [52200/160000] lr: 3.750e-05, eta: 6:28:09, time: 0.174, data_time: 0.007, memory: 52541, decode.loss_ce: 0.1926, decode.acc_seg: 92.1245, loss: 0.1926 +2023-03-04 04:20:08,038 - mmseg - INFO - Iter [52250/160000] lr: 3.750e-05, eta: 6:27:54, time: 0.172, data_time: 0.007, memory: 52541, decode.loss_ce: 0.1899, decode.acc_seg: 92.1429, loss: 0.1899 +2023-03-04 04:20:17,024 - mmseg - INFO - Iter [52300/160000] lr: 3.750e-05, eta: 6:27:39, time: 0.180, data_time: 0.007, memory: 52541, decode.loss_ce: 0.2003, decode.acc_seg: 91.8008, loss: 0.2003 +2023-03-04 04:20:25,679 - mmseg - INFO - Iter [52350/160000] lr: 3.750e-05, eta: 6:27:24, time: 0.173, data_time: 0.007, memory: 52541, decode.loss_ce: 0.1908, decode.acc_seg: 92.1141, loss: 0.1908 +2023-03-04 04:20:36,700 - mmseg - INFO - Iter [52400/160000] lr: 3.750e-05, eta: 6:27:14, time: 0.221, data_time: 0.057, memory: 52541, decode.loss_ce: 0.1979, decode.acc_seg: 91.7991, loss: 0.1979 +2023-03-04 04:20:45,385 - mmseg - INFO - Iter [52450/160000] lr: 3.750e-05, eta: 6:26:59, time: 0.174, data_time: 0.008, memory: 52541, decode.loss_ce: 0.1868, decode.acc_seg: 92.3387, loss: 0.1868 +2023-03-04 04:20:53,825 - mmseg - INFO - Iter [52500/160000] lr: 3.750e-05, eta: 6:26:43, time: 0.169, data_time: 0.007, memory: 52541, decode.loss_ce: 0.1933, decode.acc_seg: 91.9517, loss: 0.1933 +2023-03-04 04:21:02,482 - mmseg - INFO - Iter [52550/160000] lr: 3.750e-05, eta: 6:26:28, time: 0.173, data_time: 0.008, memory: 52541, decode.loss_ce: 0.2032, decode.acc_seg: 91.6661, loss: 0.2032 +2023-03-04 04:21:11,158 - mmseg - INFO - Iter [52600/160000] lr: 3.750e-05, eta: 6:26:13, time: 0.174, data_time: 0.007, memory: 52541, decode.loss_ce: 0.1974, decode.acc_seg: 91.8794, loss: 0.1974 +2023-03-04 04:21:19,519 - mmseg - INFO - Iter [52650/160000] lr: 3.750e-05, eta: 6:25:57, time: 0.167, data_time: 0.007, memory: 52541, decode.loss_ce: 0.1974, decode.acc_seg: 91.9087, loss: 0.1974 +2023-03-04 04:21:28,069 - mmseg - INFO - Iter [52700/160000] lr: 3.750e-05, eta: 6:25:42, time: 0.171, data_time: 0.007, memory: 52541, decode.loss_ce: 0.1859, decode.acc_seg: 92.3177, loss: 0.1859 +2023-03-04 04:21:37,134 - mmseg - INFO - Iter [52750/160000] lr: 3.750e-05, eta: 6:25:28, time: 0.181, data_time: 0.007, memory: 52541, decode.loss_ce: 0.1905, decode.acc_seg: 92.2263, loss: 0.1905 +2023-03-04 04:21:45,887 - mmseg - INFO - Iter [52800/160000] lr: 3.750e-05, eta: 6:25:13, time: 0.175, data_time: 0.008, memory: 52541, decode.loss_ce: 0.1937, decode.acc_seg: 91.9815, loss: 0.1937 +2023-03-04 04:21:54,617 - mmseg - INFO - Iter [52850/160000] lr: 3.750e-05, eta: 6:24:58, time: 0.175, data_time: 0.007, memory: 52541, decode.loss_ce: 0.1967, decode.acc_seg: 92.0369, loss: 0.1967 +2023-03-04 04:22:03,026 - mmseg - INFO - Iter [52900/160000] lr: 3.750e-05, eta: 6:24:42, time: 0.168, data_time: 0.007, memory: 52541, decode.loss_ce: 0.1901, decode.acc_seg: 92.2121, loss: 0.1901 +2023-03-04 04:22:11,522 - mmseg - INFO - Iter [52950/160000] lr: 3.750e-05, eta: 6:24:27, time: 0.170, data_time: 0.007, memory: 52541, decode.loss_ce: 0.1937, decode.acc_seg: 92.0028, loss: 0.1937 +2023-03-04 04:22:19,730 - mmseg - INFO - Exp name: ablation_segformer_mit_b2_segformer_head_unet_fc_small_multi_step_ade_pretrained_freeze_embed_160k_ade20k151_finetune_ema_winit.py +2023-03-04 04:22:19,731 - mmseg - INFO - Iter [53000/160000] lr: 3.750e-05, eta: 6:24:11, time: 0.164, data_time: 0.007, memory: 52541, decode.loss_ce: 0.1978, decode.acc_seg: 91.9724, loss: 0.1978 +2023-03-04 04:22:30,845 - mmseg - INFO - Iter [53050/160000] lr: 3.750e-05, eta: 6:24:01, time: 0.222, data_time: 0.054, memory: 52541, decode.loss_ce: 0.1915, decode.acc_seg: 92.1238, loss: 0.1915 +2023-03-04 04:22:39,229 - mmseg - INFO - Iter [53100/160000] lr: 3.750e-05, eta: 6:23:45, time: 0.168, data_time: 0.007, memory: 52541, decode.loss_ce: 0.1953, decode.acc_seg: 92.1284, loss: 0.1953 +2023-03-04 04:22:48,004 - mmseg - INFO - Iter [53150/160000] lr: 3.750e-05, eta: 6:23:30, time: 0.175, data_time: 0.007, memory: 52541, decode.loss_ce: 0.1901, decode.acc_seg: 92.1129, loss: 0.1901 +2023-03-04 04:22:56,937 - mmseg - INFO - Iter [53200/160000] lr: 3.750e-05, eta: 6:23:16, time: 0.179, data_time: 0.007, memory: 52541, decode.loss_ce: 0.1973, decode.acc_seg: 91.8285, loss: 0.1973 +2023-03-04 04:23:05,345 - mmseg - INFO - Iter [53250/160000] lr: 3.750e-05, eta: 6:23:00, time: 0.168, data_time: 0.007, memory: 52541, decode.loss_ce: 0.1925, decode.acc_seg: 92.1287, loss: 0.1925 +2023-03-04 04:23:14,259 - mmseg - INFO - Iter [53300/160000] lr: 3.750e-05, eta: 6:22:46, time: 0.178, data_time: 0.007, memory: 52541, decode.loss_ce: 0.1897, decode.acc_seg: 92.1974, loss: 0.1897 +2023-03-04 04:23:22,974 - mmseg - INFO - Iter [53350/160000] lr: 3.750e-05, eta: 6:22:31, time: 0.174, data_time: 0.007, memory: 52541, decode.loss_ce: 0.1915, decode.acc_seg: 91.9982, loss: 0.1915 +2023-03-04 04:23:31,949 - mmseg - INFO - Iter [53400/160000] lr: 3.750e-05, eta: 6:22:17, time: 0.180, data_time: 0.008, memory: 52541, decode.loss_ce: 0.1898, decode.acc_seg: 92.2745, loss: 0.1898 +2023-03-04 04:23:40,475 - mmseg - INFO - Iter [53450/160000] lr: 3.750e-05, eta: 6:22:02, time: 0.171, data_time: 0.007, memory: 52541, decode.loss_ce: 0.1945, decode.acc_seg: 92.0220, loss: 0.1945 +2023-03-04 04:23:48,848 - mmseg - INFO - Iter [53500/160000] lr: 3.750e-05, eta: 6:21:46, time: 0.167, data_time: 0.007, memory: 52541, decode.loss_ce: 0.1883, decode.acc_seg: 92.2573, loss: 0.1883 +2023-03-04 04:23:57,280 - mmseg - INFO - Iter [53550/160000] lr: 3.750e-05, eta: 6:21:31, time: 0.168, data_time: 0.007, memory: 52541, decode.loss_ce: 0.1930, decode.acc_seg: 92.0746, loss: 0.1930 +2023-03-04 04:24:05,712 - mmseg - INFO - Iter [53600/160000] lr: 3.750e-05, eta: 6:21:15, time: 0.169, data_time: 0.007, memory: 52541, decode.loss_ce: 0.1854, decode.acc_seg: 92.4528, loss: 0.1854 +2023-03-04 04:24:16,860 - mmseg - INFO - Iter [53650/160000] lr: 3.750e-05, eta: 6:21:05, time: 0.223, data_time: 0.053, memory: 52541, decode.loss_ce: 0.1957, decode.acc_seg: 91.9587, loss: 0.1957 +2023-03-04 04:24:25,234 - mmseg - INFO - Iter [53700/160000] lr: 3.750e-05, eta: 6:20:50, time: 0.167, data_time: 0.007, memory: 52541, decode.loss_ce: 0.1886, decode.acc_seg: 92.2163, loss: 0.1886 +2023-03-04 04:24:33,614 - mmseg - INFO - Iter [53750/160000] lr: 3.750e-05, eta: 6:20:34, time: 0.168, data_time: 0.007, memory: 52541, decode.loss_ce: 0.1929, decode.acc_seg: 92.0327, loss: 0.1929 +2023-03-04 04:24:42,119 - mmseg - INFO - Iter [53800/160000] lr: 3.750e-05, eta: 6:20:19, time: 0.170, data_time: 0.007, memory: 52541, decode.loss_ce: 0.1982, decode.acc_seg: 91.8167, loss: 0.1982 +2023-03-04 04:24:51,013 - mmseg - INFO - Iter [53850/160000] lr: 3.750e-05, eta: 6:20:05, time: 0.178, data_time: 0.008, memory: 52541, decode.loss_ce: 0.1975, decode.acc_seg: 91.9462, loss: 0.1975 +2023-03-04 04:25:00,164 - mmseg - INFO - Iter [53900/160000] lr: 3.750e-05, eta: 6:19:51, time: 0.183, data_time: 0.006, memory: 52541, decode.loss_ce: 0.1890, decode.acc_seg: 92.0910, loss: 0.1890 +2023-03-04 04:25:08,587 - mmseg - INFO - Iter [53950/160000] lr: 3.750e-05, eta: 6:19:36, time: 0.168, data_time: 0.007, memory: 52541, decode.loss_ce: 0.1959, decode.acc_seg: 92.0521, loss: 0.1959 +2023-03-04 04:25:17,246 - mmseg - INFO - Exp name: ablation_segformer_mit_b2_segformer_head_unet_fc_small_multi_step_ade_pretrained_freeze_embed_160k_ade20k151_finetune_ema_winit.py +2023-03-04 04:25:17,246 - mmseg - INFO - Iter [54000/160000] lr: 3.750e-05, eta: 6:19:21, time: 0.173, data_time: 0.007, memory: 52541, decode.loss_ce: 0.1952, decode.acc_seg: 91.8421, loss: 0.1952 +2023-03-04 04:25:26,187 - mmseg - INFO - Iter [54050/160000] lr: 3.750e-05, eta: 6:19:07, time: 0.179, data_time: 0.008, memory: 52541, decode.loss_ce: 0.2018, decode.acc_seg: 91.6713, loss: 0.2018 +2023-03-04 04:25:35,087 - mmseg - INFO - Iter [54100/160000] lr: 3.750e-05, eta: 6:18:52, time: 0.178, data_time: 0.006, memory: 52541, decode.loss_ce: 0.1901, decode.acc_seg: 92.1634, loss: 0.1901 +2023-03-04 04:25:43,466 - mmseg - INFO - Iter [54150/160000] lr: 3.750e-05, eta: 6:18:37, time: 0.168, data_time: 0.007, memory: 52541, decode.loss_ce: 0.2063, decode.acc_seg: 91.5564, loss: 0.2063 +2023-03-04 04:25:51,825 - mmseg - INFO - Iter [54200/160000] lr: 3.750e-05, eta: 6:18:22, time: 0.167, data_time: 0.007, memory: 52541, decode.loss_ce: 0.1912, decode.acc_seg: 92.0521, loss: 0.1912 +2023-03-04 04:26:00,065 - mmseg - INFO - Iter [54250/160000] lr: 3.750e-05, eta: 6:18:06, time: 0.165, data_time: 0.007, memory: 52541, decode.loss_ce: 0.1918, decode.acc_seg: 92.1051, loss: 0.1918 +2023-03-04 04:26:11,023 - mmseg - INFO - Iter [54300/160000] lr: 3.750e-05, eta: 6:17:56, time: 0.219, data_time: 0.053, memory: 52541, decode.loss_ce: 0.1857, decode.acc_seg: 92.4026, loss: 0.1857 +2023-03-04 04:26:19,622 - mmseg - INFO - Iter [54350/160000] lr: 3.750e-05, eta: 6:17:41, time: 0.172, data_time: 0.007, memory: 52541, decode.loss_ce: 0.1980, decode.acc_seg: 91.9747, loss: 0.1980 +2023-03-04 04:26:27,901 - mmseg - INFO - Iter [54400/160000] lr: 3.750e-05, eta: 6:17:25, time: 0.166, data_time: 0.007, memory: 52541, decode.loss_ce: 0.1913, decode.acc_seg: 92.0744, loss: 0.1913 +2023-03-04 04:26:36,204 - mmseg - INFO - Iter [54450/160000] lr: 3.750e-05, eta: 6:17:10, time: 0.166, data_time: 0.007, memory: 52541, decode.loss_ce: 0.1935, decode.acc_seg: 92.2304, loss: 0.1935 +2023-03-04 04:26:44,966 - mmseg - INFO - Iter [54500/160000] lr: 3.750e-05, eta: 6:16:55, time: 0.175, data_time: 0.007, memory: 52541, decode.loss_ce: 0.1919, decode.acc_seg: 91.9814, loss: 0.1919 +2023-03-04 04:26:53,673 - mmseg - INFO - Iter [54550/160000] lr: 3.750e-05, eta: 6:16:41, time: 0.174, data_time: 0.007, memory: 52541, decode.loss_ce: 0.1966, decode.acc_seg: 92.0358, loss: 0.1966 +2023-03-04 04:27:02,240 - mmseg - INFO - Iter [54600/160000] lr: 3.750e-05, eta: 6:16:26, time: 0.172, data_time: 0.007, memory: 52541, decode.loss_ce: 0.1941, decode.acc_seg: 92.0686, loss: 0.1941 +2023-03-04 04:27:10,593 - mmseg - INFO - Iter [54650/160000] lr: 3.750e-05, eta: 6:16:11, time: 0.167, data_time: 0.007, memory: 52541, decode.loss_ce: 0.1901, decode.acc_seg: 92.1117, loss: 0.1901 +2023-03-04 04:27:19,332 - mmseg - INFO - Iter [54700/160000] lr: 3.750e-05, eta: 6:15:56, time: 0.175, data_time: 0.007, memory: 52541, decode.loss_ce: 0.1976, decode.acc_seg: 92.0378, loss: 0.1976 +2023-03-04 04:27:27,701 - mmseg - INFO - Iter [54750/160000] lr: 3.750e-05, eta: 6:15:41, time: 0.168, data_time: 0.007, memory: 52541, decode.loss_ce: 0.1897, decode.acc_seg: 92.3038, loss: 0.1897 +2023-03-04 04:27:36,200 - mmseg - INFO - Iter [54800/160000] lr: 3.750e-05, eta: 6:15:26, time: 0.170, data_time: 0.007, memory: 52541, decode.loss_ce: 0.1935, decode.acc_seg: 92.0728, loss: 0.1935 +2023-03-04 04:27:44,467 - mmseg - INFO - Iter [54850/160000] lr: 3.750e-05, eta: 6:15:11, time: 0.165, data_time: 0.007, memory: 52541, decode.loss_ce: 0.1905, decode.acc_seg: 92.1998, loss: 0.1905 +2023-03-04 04:27:55,370 - mmseg - INFO - Iter [54900/160000] lr: 3.750e-05, eta: 6:15:00, time: 0.218, data_time: 0.053, memory: 52541, decode.loss_ce: 0.1982, decode.acc_seg: 91.7181, loss: 0.1982 +2023-03-04 04:28:04,478 - mmseg - INFO - Iter [54950/160000] lr: 3.750e-05, eta: 6:14:47, time: 0.182, data_time: 0.007, memory: 52541, decode.loss_ce: 0.1966, decode.acc_seg: 91.8401, loss: 0.1966 +2023-03-04 04:28:12,790 - mmseg - INFO - Exp name: ablation_segformer_mit_b2_segformer_head_unet_fc_small_multi_step_ade_pretrained_freeze_embed_160k_ade20k151_finetune_ema_winit.py +2023-03-04 04:28:12,790 - mmseg - INFO - Iter [55000/160000] lr: 3.750e-05, eta: 6:14:31, time: 0.166, data_time: 0.007, memory: 52541, decode.loss_ce: 0.1965, decode.acc_seg: 92.0250, loss: 0.1965 +2023-03-04 04:28:21,359 - mmseg - INFO - Iter [55050/160000] lr: 3.750e-05, eta: 6:14:17, time: 0.171, data_time: 0.007, memory: 52541, decode.loss_ce: 0.1867, decode.acc_seg: 92.2988, loss: 0.1867 +2023-03-04 04:28:29,625 - mmseg - INFO - Iter [55100/160000] lr: 3.750e-05, eta: 6:14:01, time: 0.165, data_time: 0.007, memory: 52541, decode.loss_ce: 0.1980, decode.acc_seg: 91.9878, loss: 0.1980 +2023-03-04 04:28:38,117 - mmseg - INFO - Iter [55150/160000] lr: 3.750e-05, eta: 6:13:46, time: 0.170, data_time: 0.007, memory: 52541, decode.loss_ce: 0.2033, decode.acc_seg: 91.6887, loss: 0.2033 +2023-03-04 04:28:47,018 - mmseg - INFO - Iter [55200/160000] lr: 3.750e-05, eta: 6:13:32, time: 0.178, data_time: 0.007, memory: 52541, decode.loss_ce: 0.1933, decode.acc_seg: 92.0736, loss: 0.1933 +2023-03-04 04:28:55,479 - mmseg - INFO - Iter [55250/160000] lr: 3.750e-05, eta: 6:13:17, time: 0.169, data_time: 0.007, memory: 52541, decode.loss_ce: 0.1958, decode.acc_seg: 92.0447, loss: 0.1958 +2023-03-04 04:29:04,104 - mmseg - INFO - Iter [55300/160000] lr: 3.750e-05, eta: 6:13:03, time: 0.172, data_time: 0.007, memory: 52541, decode.loss_ce: 0.1915, decode.acc_seg: 92.0916, loss: 0.1915 +2023-03-04 04:29:12,283 - mmseg - INFO - Iter [55350/160000] lr: 3.750e-05, eta: 6:12:47, time: 0.164, data_time: 0.007, memory: 52541, decode.loss_ce: 0.1943, decode.acc_seg: 92.0008, loss: 0.1943 +2023-03-04 04:29:20,563 - mmseg - INFO - Iter [55400/160000] lr: 3.750e-05, eta: 6:12:32, time: 0.166, data_time: 0.007, memory: 52541, decode.loss_ce: 0.1944, decode.acc_seg: 92.0274, loss: 0.1944 +2023-03-04 04:29:28,938 - mmseg - INFO - Iter [55450/160000] lr: 3.750e-05, eta: 6:12:17, time: 0.167, data_time: 0.007, memory: 52541, decode.loss_ce: 0.1942, decode.acc_seg: 91.9716, loss: 0.1942 +2023-03-04 04:29:37,518 - mmseg - INFO - Iter [55500/160000] lr: 3.750e-05, eta: 6:12:02, time: 0.172, data_time: 0.007, memory: 52541, decode.loss_ce: 0.1900, decode.acc_seg: 92.1901, loss: 0.1900 +2023-03-04 04:29:48,544 - mmseg - INFO - Iter [55550/160000] lr: 3.750e-05, eta: 6:11:52, time: 0.220, data_time: 0.054, memory: 52541, decode.loss_ce: 0.1878, decode.acc_seg: 92.2647, loss: 0.1878 +2023-03-04 04:29:56,981 - mmseg - INFO - Iter [55600/160000] lr: 3.750e-05, eta: 6:11:37, time: 0.169, data_time: 0.007, memory: 52541, decode.loss_ce: 0.1954, decode.acc_seg: 91.9877, loss: 0.1954 +2023-03-04 04:30:05,242 - mmseg - INFO - Iter [55650/160000] lr: 3.750e-05, eta: 6:11:22, time: 0.165, data_time: 0.007, memory: 52541, decode.loss_ce: 0.1948, decode.acc_seg: 91.9063, loss: 0.1948 +2023-03-04 04:30:14,018 - mmseg - INFO - Iter [55700/160000] lr: 3.750e-05, eta: 6:11:08, time: 0.176, data_time: 0.008, memory: 52541, decode.loss_ce: 0.1924, decode.acc_seg: 92.1825, loss: 0.1924 +2023-03-04 04:30:22,308 - mmseg - INFO - Iter [55750/160000] lr: 3.750e-05, eta: 6:10:53, time: 0.166, data_time: 0.007, memory: 52541, decode.loss_ce: 0.1933, decode.acc_seg: 92.0268, loss: 0.1933 +2023-03-04 04:30:30,846 - mmseg - INFO - Iter [55800/160000] lr: 3.750e-05, eta: 6:10:38, time: 0.171, data_time: 0.007, memory: 52541, decode.loss_ce: 0.1921, decode.acc_seg: 92.0867, loss: 0.1921 +2023-03-04 04:30:39,424 - mmseg - INFO - Iter [55850/160000] lr: 3.750e-05, eta: 6:10:24, time: 0.172, data_time: 0.007, memory: 52541, decode.loss_ce: 0.1982, decode.acc_seg: 91.7864, loss: 0.1982 +2023-03-04 04:30:48,005 - mmseg - INFO - Iter [55900/160000] lr: 3.750e-05, eta: 6:10:09, time: 0.172, data_time: 0.007, memory: 52541, decode.loss_ce: 0.1907, decode.acc_seg: 92.0111, loss: 0.1907 +2023-03-04 04:30:56,499 - mmseg - INFO - Iter [55950/160000] lr: 3.750e-05, eta: 6:09:54, time: 0.170, data_time: 0.007, memory: 52541, decode.loss_ce: 0.1995, decode.acc_seg: 91.8962, loss: 0.1995 +2023-03-04 04:31:05,126 - mmseg - INFO - Exp name: ablation_segformer_mit_b2_segformer_head_unet_fc_small_multi_step_ade_pretrained_freeze_embed_160k_ade20k151_finetune_ema_winit.py +2023-03-04 04:31:05,126 - mmseg - INFO - Iter [56000/160000] lr: 3.750e-05, eta: 6:09:40, time: 0.173, data_time: 0.007, memory: 52541, decode.loss_ce: 0.1904, decode.acc_seg: 92.1056, loss: 0.1904 +2023-03-04 04:31:13,680 - mmseg - INFO - Iter [56050/160000] lr: 3.750e-05, eta: 6:09:25, time: 0.171, data_time: 0.008, memory: 52541, decode.loss_ce: 0.2002, decode.acc_seg: 91.8244, loss: 0.2002 +2023-03-04 04:31:21,996 - mmseg - INFO - Iter [56100/160000] lr: 3.750e-05, eta: 6:09:10, time: 0.166, data_time: 0.007, memory: 52541, decode.loss_ce: 0.1981, decode.acc_seg: 92.0184, loss: 0.1981 +2023-03-04 04:31:30,545 - mmseg - INFO - Iter [56150/160000] lr: 3.750e-05, eta: 6:08:56, time: 0.171, data_time: 0.007, memory: 52541, decode.loss_ce: 0.1922, decode.acc_seg: 92.0690, loss: 0.1922 +2023-03-04 04:31:41,489 - mmseg - INFO - Iter [56200/160000] lr: 3.750e-05, eta: 6:08:46, time: 0.219, data_time: 0.055, memory: 52541, decode.loss_ce: 0.1911, decode.acc_seg: 92.1359, loss: 0.1911 +2023-03-04 04:31:50,481 - mmseg - INFO - Iter [56250/160000] lr: 3.750e-05, eta: 6:08:32, time: 0.180, data_time: 0.007, memory: 52541, decode.loss_ce: 0.1898, decode.acc_seg: 92.3441, loss: 0.1898 +2023-03-04 04:31:58,706 - mmseg - INFO - Iter [56300/160000] lr: 3.750e-05, eta: 6:08:17, time: 0.164, data_time: 0.007, memory: 52541, decode.loss_ce: 0.1955, decode.acc_seg: 92.0404, loss: 0.1955 +2023-03-04 04:32:06,911 - mmseg - INFO - Iter [56350/160000] lr: 3.750e-05, eta: 6:08:02, time: 0.164, data_time: 0.007, memory: 52541, decode.loss_ce: 0.2016, decode.acc_seg: 91.7193, loss: 0.2016 +2023-03-04 04:32:15,547 - mmseg - INFO - Iter [56400/160000] lr: 3.750e-05, eta: 6:07:47, time: 0.173, data_time: 0.007, memory: 52541, decode.loss_ce: 0.2010, decode.acc_seg: 91.8587, loss: 0.2010 +2023-03-04 04:32:24,066 - mmseg - INFO - Iter [56450/160000] lr: 3.750e-05, eta: 6:07:33, time: 0.170, data_time: 0.008, memory: 52541, decode.loss_ce: 0.1889, decode.acc_seg: 92.2371, loss: 0.1889 +2023-03-04 04:32:32,703 - mmseg - INFO - Iter [56500/160000] lr: 3.750e-05, eta: 6:07:18, time: 0.173, data_time: 0.007, memory: 52541, decode.loss_ce: 0.1934, decode.acc_seg: 91.9051, loss: 0.1934 +2023-03-04 04:32:41,635 - mmseg - INFO - Iter [56550/160000] lr: 3.750e-05, eta: 6:07:05, time: 0.179, data_time: 0.007, memory: 52541, decode.loss_ce: 0.1987, decode.acc_seg: 91.9089, loss: 0.1987 +2023-03-04 04:32:49,966 - mmseg - INFO - Iter [56600/160000] lr: 3.750e-05, eta: 6:06:50, time: 0.167, data_time: 0.007, memory: 52541, decode.loss_ce: 0.1810, decode.acc_seg: 92.4467, loss: 0.1810 +2023-03-04 04:32:58,552 - mmseg - INFO - Iter [56650/160000] lr: 3.750e-05, eta: 6:06:35, time: 0.172, data_time: 0.007, memory: 52541, decode.loss_ce: 0.1859, decode.acc_seg: 92.4065, loss: 0.1859 +2023-03-04 04:33:07,007 - mmseg - INFO - Iter [56700/160000] lr: 3.750e-05, eta: 6:06:21, time: 0.169, data_time: 0.007, memory: 52541, decode.loss_ce: 0.2012, decode.acc_seg: 91.9306, loss: 0.2012 +2023-03-04 04:33:15,410 - mmseg - INFO - Iter [56750/160000] lr: 3.750e-05, eta: 6:06:06, time: 0.168, data_time: 0.007, memory: 52541, decode.loss_ce: 0.1986, decode.acc_seg: 91.9296, loss: 0.1986 +2023-03-04 04:33:26,169 - mmseg - INFO - Iter [56800/160000] lr: 3.750e-05, eta: 6:05:56, time: 0.215, data_time: 0.056, memory: 52541, decode.loss_ce: 0.1931, decode.acc_seg: 92.0879, loss: 0.1931 +2023-03-04 04:33:34,752 - mmseg - INFO - Iter [56850/160000] lr: 3.750e-05, eta: 6:05:41, time: 0.172, data_time: 0.007, memory: 52541, decode.loss_ce: 0.1932, decode.acc_seg: 92.1920, loss: 0.1932 +2023-03-04 04:33:43,200 - mmseg - INFO - Iter [56900/160000] lr: 3.750e-05, eta: 6:05:27, time: 0.169, data_time: 0.007, memory: 52541, decode.loss_ce: 0.1942, decode.acc_seg: 91.9633, loss: 0.1942 +2023-03-04 04:33:52,091 - mmseg - INFO - Iter [56950/160000] lr: 3.750e-05, eta: 6:05:13, time: 0.178, data_time: 0.008, memory: 52541, decode.loss_ce: 0.1907, decode.acc_seg: 92.0564, loss: 0.1907 +2023-03-04 04:34:00,418 - mmseg - INFO - Exp name: ablation_segformer_mit_b2_segformer_head_unet_fc_small_multi_step_ade_pretrained_freeze_embed_160k_ade20k151_finetune_ema_winit.py +2023-03-04 04:34:00,418 - mmseg - INFO - Iter [57000/160000] lr: 3.750e-05, eta: 6:04:58, time: 0.166, data_time: 0.007, memory: 52541, decode.loss_ce: 0.1947, decode.acc_seg: 92.2340, loss: 0.1947 +2023-03-04 04:34:08,962 - mmseg - INFO - Iter [57050/160000] lr: 3.750e-05, eta: 6:04:44, time: 0.171, data_time: 0.007, memory: 52541, decode.loss_ce: 0.1936, decode.acc_seg: 92.2190, loss: 0.1936 +2023-03-04 04:34:17,550 - mmseg - INFO - Iter [57100/160000] lr: 3.750e-05, eta: 6:04:29, time: 0.172, data_time: 0.007, memory: 52541, decode.loss_ce: 0.1906, decode.acc_seg: 92.1687, loss: 0.1906 +2023-03-04 04:34:25,846 - mmseg - INFO - Iter [57150/160000] lr: 3.750e-05, eta: 6:04:14, time: 0.166, data_time: 0.007, memory: 52541, decode.loss_ce: 0.1941, decode.acc_seg: 92.0784, loss: 0.1941 +2023-03-04 04:34:34,444 - mmseg - INFO - Iter [57200/160000] lr: 3.750e-05, eta: 6:04:00, time: 0.172, data_time: 0.007, memory: 52541, decode.loss_ce: 0.1891, decode.acc_seg: 92.2205, loss: 0.1891 +2023-03-04 04:34:43,420 - mmseg - INFO - Iter [57250/160000] lr: 3.750e-05, eta: 6:03:47, time: 0.179, data_time: 0.006, memory: 52541, decode.loss_ce: 0.1946, decode.acc_seg: 91.9774, loss: 0.1946 +2023-03-04 04:34:51,872 - mmseg - INFO - Iter [57300/160000] lr: 3.750e-05, eta: 6:03:32, time: 0.169, data_time: 0.008, memory: 52541, decode.loss_ce: 0.1920, decode.acc_seg: 92.0240, loss: 0.1920 +2023-03-04 04:35:00,490 - mmseg - INFO - Iter [57350/160000] lr: 3.750e-05, eta: 6:03:18, time: 0.172, data_time: 0.007, memory: 52541, decode.loss_ce: 0.1963, decode.acc_seg: 92.0411, loss: 0.1963 +2023-03-04 04:35:08,948 - mmseg - INFO - Iter [57400/160000] lr: 3.750e-05, eta: 6:03:03, time: 0.169, data_time: 0.007, memory: 52541, decode.loss_ce: 0.1936, decode.acc_seg: 92.0460, loss: 0.1936 +2023-03-04 04:35:20,030 - mmseg - INFO - Iter [57450/160000] lr: 3.750e-05, eta: 6:02:54, time: 0.222, data_time: 0.058, memory: 52541, decode.loss_ce: 0.1885, decode.acc_seg: 92.1912, loss: 0.1885 +2023-03-04 04:35:28,756 - mmseg - INFO - Iter [57500/160000] lr: 3.750e-05, eta: 6:02:40, time: 0.175, data_time: 0.007, memory: 52541, decode.loss_ce: 0.1946, decode.acc_seg: 92.0646, loss: 0.1946 +2023-03-04 04:35:37,291 - mmseg - INFO - Iter [57550/160000] lr: 3.750e-05, eta: 6:02:25, time: 0.171, data_time: 0.007, memory: 52541, decode.loss_ce: 0.2027, decode.acc_seg: 91.8577, loss: 0.2027 +2023-03-04 04:35:46,108 - mmseg - INFO - Iter [57600/160000] lr: 3.750e-05, eta: 6:02:12, time: 0.176, data_time: 0.007, memory: 52541, decode.loss_ce: 0.1849, decode.acc_seg: 92.2047, loss: 0.1849 +2023-03-04 04:35:54,468 - mmseg - INFO - Iter [57650/160000] lr: 3.750e-05, eta: 6:01:57, time: 0.167, data_time: 0.007, memory: 52541, decode.loss_ce: 0.1976, decode.acc_seg: 91.7957, loss: 0.1976 +2023-03-04 04:36:02,795 - mmseg - INFO - Iter [57700/160000] lr: 3.750e-05, eta: 6:01:42, time: 0.166, data_time: 0.007, memory: 52541, decode.loss_ce: 0.1938, decode.acc_seg: 91.8774, loss: 0.1938 +2023-03-04 04:36:11,407 - mmseg - INFO - Iter [57750/160000] lr: 3.750e-05, eta: 6:01:28, time: 0.172, data_time: 0.007, memory: 52541, decode.loss_ce: 0.1904, decode.acc_seg: 92.1152, loss: 0.1904 +2023-03-04 04:36:19,968 - mmseg - INFO - Iter [57800/160000] lr: 3.750e-05, eta: 6:01:14, time: 0.171, data_time: 0.007, memory: 52541, decode.loss_ce: 0.1960, decode.acc_seg: 92.0126, loss: 0.1960 +2023-03-04 04:36:28,262 - mmseg - INFO - Iter [57850/160000] lr: 3.750e-05, eta: 6:00:59, time: 0.166, data_time: 0.007, memory: 52541, decode.loss_ce: 0.1981, decode.acc_seg: 91.7266, loss: 0.1981 +2023-03-04 04:36:36,681 - mmseg - INFO - Iter [57900/160000] lr: 3.750e-05, eta: 6:00:45, time: 0.168, data_time: 0.007, memory: 52541, decode.loss_ce: 0.1927, decode.acc_seg: 92.1196, loss: 0.1927 +2023-03-04 04:36:45,450 - mmseg - INFO - Iter [57950/160000] lr: 3.750e-05, eta: 6:00:31, time: 0.175, data_time: 0.007, memory: 52541, decode.loss_ce: 0.1880, decode.acc_seg: 92.2036, loss: 0.1880 +2023-03-04 04:36:53,970 - mmseg - INFO - Exp name: ablation_segformer_mit_b2_segformer_head_unet_fc_small_multi_step_ade_pretrained_freeze_embed_160k_ade20k151_finetune_ema_winit.py +2023-03-04 04:36:53,970 - mmseg - INFO - Iter [58000/160000] lr: 3.750e-05, eta: 6:00:17, time: 0.170, data_time: 0.008, memory: 52541, decode.loss_ce: 0.1992, decode.acc_seg: 91.8934, loss: 0.1992 +2023-03-04 04:37:02,783 - mmseg - INFO - Iter [58050/160000] lr: 3.750e-05, eta: 6:00:03, time: 0.177, data_time: 0.007, memory: 52541, decode.loss_ce: 0.1947, decode.acc_seg: 92.1155, loss: 0.1947 +2023-03-04 04:37:13,913 - mmseg - INFO - Iter [58100/160000] lr: 3.750e-05, eta: 5:59:53, time: 0.223, data_time: 0.057, memory: 52541, decode.loss_ce: 0.1951, decode.acc_seg: 91.9104, loss: 0.1951 +2023-03-04 04:37:22,470 - mmseg - INFO - Iter [58150/160000] lr: 3.750e-05, eta: 5:59:39, time: 0.171, data_time: 0.007, memory: 52541, decode.loss_ce: 0.1885, decode.acc_seg: 92.2140, loss: 0.1885 +2023-03-04 04:37:30,727 - mmseg - INFO - Iter [58200/160000] lr: 3.750e-05, eta: 5:59:24, time: 0.165, data_time: 0.007, memory: 52541, decode.loss_ce: 0.1843, decode.acc_seg: 92.4100, loss: 0.1843 +2023-03-04 04:37:38,955 - mmseg - INFO - Iter [58250/160000] lr: 3.750e-05, eta: 5:59:10, time: 0.165, data_time: 0.007, memory: 52541, decode.loss_ce: 0.1893, decode.acc_seg: 92.0742, loss: 0.1893 +2023-03-04 04:37:47,620 - mmseg - INFO - Iter [58300/160000] lr: 3.750e-05, eta: 5:58:56, time: 0.173, data_time: 0.007, memory: 52541, decode.loss_ce: 0.1954, decode.acc_seg: 91.9090, loss: 0.1954 +2023-03-04 04:37:56,628 - mmseg - INFO - Iter [58350/160000] lr: 3.750e-05, eta: 5:58:42, time: 0.180, data_time: 0.007, memory: 52541, decode.loss_ce: 0.1918, decode.acc_seg: 92.1352, loss: 0.1918 +2023-03-04 04:38:05,369 - mmseg - INFO - Iter [58400/160000] lr: 3.750e-05, eta: 5:58:29, time: 0.175, data_time: 0.007, memory: 52541, decode.loss_ce: 0.1944, decode.acc_seg: 92.1285, loss: 0.1944 +2023-03-04 04:38:14,078 - mmseg - INFO - Iter [58450/160000] lr: 3.750e-05, eta: 5:58:15, time: 0.174, data_time: 0.008, memory: 52541, decode.loss_ce: 0.1923, decode.acc_seg: 92.1997, loss: 0.1923 +2023-03-04 04:38:22,727 - mmseg - INFO - Iter [58500/160000] lr: 3.750e-05, eta: 5:58:01, time: 0.173, data_time: 0.007, memory: 52541, decode.loss_ce: 0.1965, decode.acc_seg: 92.0195, loss: 0.1965 +2023-03-04 04:38:31,107 - mmseg - INFO - Iter [58550/160000] lr: 3.750e-05, eta: 5:57:46, time: 0.168, data_time: 0.007, memory: 52541, decode.loss_ce: 0.1910, decode.acc_seg: 92.0827, loss: 0.1910 +2023-03-04 04:38:39,867 - mmseg - INFO - Iter [58600/160000] lr: 3.750e-05, eta: 5:57:33, time: 0.175, data_time: 0.006, memory: 52541, decode.loss_ce: 0.2056, decode.acc_seg: 91.5890, loss: 0.2056 +2023-03-04 04:38:48,481 - mmseg - INFO - Iter [58650/160000] lr: 3.750e-05, eta: 5:57:19, time: 0.172, data_time: 0.007, memory: 52541, decode.loss_ce: 0.1843, decode.acc_seg: 92.3383, loss: 0.1843 +2023-03-04 04:38:59,227 - mmseg - INFO - Iter [58700/160000] lr: 3.750e-05, eta: 5:57:08, time: 0.215, data_time: 0.055, memory: 52541, decode.loss_ce: 0.1881, decode.acc_seg: 92.1574, loss: 0.1881 +2023-03-04 04:39:07,524 - mmseg - INFO - Iter [58750/160000] lr: 3.750e-05, eta: 5:56:54, time: 0.166, data_time: 0.007, memory: 52541, decode.loss_ce: 0.1903, decode.acc_seg: 92.1589, loss: 0.1903 +2023-03-04 04:39:15,799 - mmseg - INFO - Iter [58800/160000] lr: 3.750e-05, eta: 5:56:39, time: 0.165, data_time: 0.007, memory: 52541, decode.loss_ce: 0.1966, decode.acc_seg: 92.0233, loss: 0.1966 +2023-03-04 04:39:24,289 - mmseg - INFO - Iter [58850/160000] lr: 3.750e-05, eta: 5:56:25, time: 0.170, data_time: 0.007, memory: 52541, decode.loss_ce: 0.1860, decode.acc_seg: 92.3592, loss: 0.1860 +2023-03-04 04:39:33,196 - mmseg - INFO - Iter [58900/160000] lr: 3.750e-05, eta: 5:56:12, time: 0.178, data_time: 0.007, memory: 52541, decode.loss_ce: 0.1892, decode.acc_seg: 92.1132, loss: 0.1892 +2023-03-04 04:39:41,678 - mmseg - INFO - Iter [58950/160000] lr: 3.750e-05, eta: 5:55:58, time: 0.170, data_time: 0.007, memory: 52541, decode.loss_ce: 0.1877, decode.acc_seg: 92.1855, loss: 0.1877 +2023-03-04 04:39:50,217 - mmseg - INFO - Exp name: ablation_segformer_mit_b2_segformer_head_unet_fc_small_multi_step_ade_pretrained_freeze_embed_160k_ade20k151_finetune_ema_winit.py +2023-03-04 04:39:50,217 - mmseg - INFO - Iter [59000/160000] lr: 3.750e-05, eta: 5:55:44, time: 0.171, data_time: 0.007, memory: 52541, decode.loss_ce: 0.2016, decode.acc_seg: 91.7647, loss: 0.2016 +2023-03-04 04:39:58,868 - mmseg - INFO - Iter [59050/160000] lr: 3.750e-05, eta: 5:55:30, time: 0.173, data_time: 0.007, memory: 52541, decode.loss_ce: 0.1913, decode.acc_seg: 92.2238, loss: 0.1913 +2023-03-04 04:40:07,216 - mmseg - INFO - Iter [59100/160000] lr: 3.750e-05, eta: 5:55:15, time: 0.167, data_time: 0.007, memory: 52541, decode.loss_ce: 0.1939, decode.acc_seg: 91.9853, loss: 0.1939 +2023-03-04 04:40:15,627 - mmseg - INFO - Iter [59150/160000] lr: 3.750e-05, eta: 5:55:01, time: 0.168, data_time: 0.007, memory: 52541, decode.loss_ce: 0.1902, decode.acc_seg: 92.2193, loss: 0.1902 +2023-03-04 04:40:24,013 - mmseg - INFO - Iter [59200/160000] lr: 3.750e-05, eta: 5:54:47, time: 0.167, data_time: 0.007, memory: 52541, decode.loss_ce: 0.1987, decode.acc_seg: 91.8517, loss: 0.1987 +2023-03-04 04:40:32,313 - mmseg - INFO - Iter [59250/160000] lr: 3.750e-05, eta: 5:54:33, time: 0.166, data_time: 0.007, memory: 52541, decode.loss_ce: 0.1921, decode.acc_seg: 92.1304, loss: 0.1921 +2023-03-04 04:40:40,941 - mmseg - INFO - Iter [59300/160000] lr: 3.750e-05, eta: 5:54:19, time: 0.173, data_time: 0.007, memory: 52541, decode.loss_ce: 0.1929, decode.acc_seg: 92.1399, loss: 0.1929 +2023-03-04 04:40:52,056 - mmseg - INFO - Iter [59350/160000] lr: 3.750e-05, eta: 5:54:09, time: 0.222, data_time: 0.054, memory: 52541, decode.loss_ce: 0.1842, decode.acc_seg: 92.3571, loss: 0.1842 +2023-03-04 04:41:00,661 - mmseg - INFO - Iter [59400/160000] lr: 3.750e-05, eta: 5:53:55, time: 0.172, data_time: 0.007, memory: 52541, decode.loss_ce: 0.1905, decode.acc_seg: 92.2374, loss: 0.1905 +2023-03-04 04:41:08,900 - mmseg - INFO - Iter [59450/160000] lr: 3.750e-05, eta: 5:53:41, time: 0.165, data_time: 0.007, memory: 52541, decode.loss_ce: 0.1922, decode.acc_seg: 92.0879, loss: 0.1922 +2023-03-04 04:41:17,144 - mmseg - INFO - Iter [59500/160000] lr: 3.750e-05, eta: 5:53:26, time: 0.165, data_time: 0.007, memory: 52541, decode.loss_ce: 0.1905, decode.acc_seg: 92.0881, loss: 0.1905 +2023-03-04 04:41:25,853 - mmseg - INFO - Iter [59550/160000] lr: 3.750e-05, eta: 5:53:13, time: 0.174, data_time: 0.007, memory: 52541, decode.loss_ce: 0.1972, decode.acc_seg: 91.7414, loss: 0.1972 +2023-03-04 04:41:34,185 - mmseg - INFO - Iter [59600/160000] lr: 3.750e-05, eta: 5:52:58, time: 0.167, data_time: 0.007, memory: 52541, decode.loss_ce: 0.1882, decode.acc_seg: 92.2227, loss: 0.1882 +2023-03-04 04:41:42,618 - mmseg - INFO - Iter [59650/160000] lr: 3.750e-05, eta: 5:52:44, time: 0.168, data_time: 0.007, memory: 52541, decode.loss_ce: 0.1932, decode.acc_seg: 91.9182, loss: 0.1932 +2023-03-04 04:41:51,108 - mmseg - INFO - Iter [59700/160000] lr: 3.750e-05, eta: 5:52:30, time: 0.170, data_time: 0.007, memory: 52541, decode.loss_ce: 0.2005, decode.acc_seg: 91.8062, loss: 0.2005 +2023-03-04 04:41:59,513 - mmseg - INFO - Iter [59750/160000] lr: 3.750e-05, eta: 5:52:16, time: 0.168, data_time: 0.007, memory: 52541, decode.loss_ce: 0.1931, decode.acc_seg: 92.1689, loss: 0.1931 +2023-03-04 04:42:07,910 - mmseg - INFO - Iter [59800/160000] lr: 3.750e-05, eta: 5:52:02, time: 0.168, data_time: 0.007, memory: 52541, decode.loss_ce: 0.1898, decode.acc_seg: 92.0675, loss: 0.1898 +2023-03-04 04:42:16,456 - mmseg - INFO - Iter [59850/160000] lr: 3.750e-05, eta: 5:51:48, time: 0.171, data_time: 0.007, memory: 52541, decode.loss_ce: 0.1917, decode.acc_seg: 92.1389, loss: 0.1917 +2023-03-04 04:42:25,186 - mmseg - INFO - Iter [59900/160000] lr: 3.750e-05, eta: 5:51:35, time: 0.175, data_time: 0.007, memory: 52541, decode.loss_ce: 0.1899, decode.acc_seg: 92.1001, loss: 0.1899 +2023-03-04 04:42:36,286 - mmseg - INFO - Iter [59950/160000] lr: 3.750e-05, eta: 5:51:25, time: 0.222, data_time: 0.057, memory: 52541, decode.loss_ce: 0.1910, decode.acc_seg: 92.1109, loss: 0.1910 +2023-03-04 04:42:44,814 - mmseg - INFO - Exp name: ablation_segformer_mit_b2_segformer_head_unet_fc_small_multi_step_ade_pretrained_freeze_embed_160k_ade20k151_finetune_ema_winit.py +2023-03-04 04:42:44,814 - mmseg - INFO - Iter [60000/160000] lr: 3.750e-05, eta: 5:51:11, time: 0.171, data_time: 0.007, memory: 52541, decode.loss_ce: 0.1922, decode.acc_seg: 92.0739, loss: 0.1922 +2023-03-04 04:42:53,119 - mmseg - INFO - Iter [60050/160000] lr: 1.875e-05, eta: 5:50:57, time: 0.166, data_time: 0.007, memory: 52541, decode.loss_ce: 0.1934, decode.acc_seg: 92.0734, loss: 0.1934 +2023-03-04 04:43:01,580 - mmseg - INFO - Iter [60100/160000] lr: 1.875e-05, eta: 5:50:43, time: 0.169, data_time: 0.007, memory: 52541, decode.loss_ce: 0.1892, decode.acc_seg: 92.1864, loss: 0.1892 +2023-03-04 04:43:10,065 - mmseg - INFO - Iter [60150/160000] lr: 1.875e-05, eta: 5:50:29, time: 0.170, data_time: 0.008, memory: 52541, decode.loss_ce: 0.1883, decode.acc_seg: 92.3069, loss: 0.1883 +2023-03-04 04:43:18,351 - mmseg - INFO - Iter [60200/160000] lr: 1.875e-05, eta: 5:50:15, time: 0.166, data_time: 0.007, memory: 52541, decode.loss_ce: 0.1887, decode.acc_seg: 92.1598, loss: 0.1887 +2023-03-04 04:43:26,700 - mmseg - INFO - Iter [60250/160000] lr: 1.875e-05, eta: 5:50:01, time: 0.167, data_time: 0.007, memory: 52541, decode.loss_ce: 0.1991, decode.acc_seg: 92.0565, loss: 0.1991 +2023-03-04 04:43:35,504 - mmseg - INFO - Iter [60300/160000] lr: 1.875e-05, eta: 5:49:47, time: 0.176, data_time: 0.007, memory: 52541, decode.loss_ce: 0.1900, decode.acc_seg: 92.0975, loss: 0.1900 +2023-03-04 04:43:43,979 - mmseg - INFO - Iter [60350/160000] lr: 1.875e-05, eta: 5:49:33, time: 0.170, data_time: 0.007, memory: 52541, decode.loss_ce: 0.1948, decode.acc_seg: 92.1012, loss: 0.1948 +2023-03-04 04:43:53,062 - mmseg - INFO - Iter [60400/160000] lr: 1.875e-05, eta: 5:49:20, time: 0.181, data_time: 0.006, memory: 52541, decode.loss_ce: 0.1958, decode.acc_seg: 91.9703, loss: 0.1958 +2023-03-04 04:44:02,064 - mmseg - INFO - Iter [60450/160000] lr: 1.875e-05, eta: 5:49:07, time: 0.180, data_time: 0.009, memory: 52541, decode.loss_ce: 0.1919, decode.acc_seg: 92.1515, loss: 0.1919 +2023-03-04 04:44:10,829 - mmseg - INFO - Iter [60500/160000] lr: 1.875e-05, eta: 5:48:54, time: 0.175, data_time: 0.008, memory: 52541, decode.loss_ce: 0.1917, decode.acc_seg: 92.1732, loss: 0.1917 +2023-03-04 04:44:19,198 - mmseg - INFO - Iter [60550/160000] lr: 1.875e-05, eta: 5:48:40, time: 0.167, data_time: 0.007, memory: 52541, decode.loss_ce: 0.2011, decode.acc_seg: 91.8525, loss: 0.2011 +2023-03-04 04:44:30,186 - mmseg - INFO - Iter [60600/160000] lr: 1.875e-05, eta: 5:48:30, time: 0.220, data_time: 0.054, memory: 52541, decode.loss_ce: 0.1950, decode.acc_seg: 91.9220, loss: 0.1950 +2023-03-04 04:44:38,643 - mmseg - INFO - Iter [60650/160000] lr: 1.875e-05, eta: 5:48:16, time: 0.169, data_time: 0.007, memory: 52541, decode.loss_ce: 0.1873, decode.acc_seg: 92.3198, loss: 0.1873 +2023-03-04 04:44:47,002 - mmseg - INFO - Iter [60700/160000] lr: 1.875e-05, eta: 5:48:02, time: 0.167, data_time: 0.007, memory: 52541, decode.loss_ce: 0.1950, decode.acc_seg: 91.7880, loss: 0.1950 +2023-03-04 04:44:55,613 - mmseg - INFO - Iter [60750/160000] lr: 1.875e-05, eta: 5:47:49, time: 0.172, data_time: 0.007, memory: 52541, decode.loss_ce: 0.1897, decode.acc_seg: 92.1537, loss: 0.1897 +2023-03-04 04:45:04,341 - mmseg - INFO - Iter [60800/160000] lr: 1.875e-05, eta: 5:47:35, time: 0.175, data_time: 0.007, memory: 52541, decode.loss_ce: 0.1934, decode.acc_seg: 92.0324, loss: 0.1934 +2023-03-04 04:45:12,964 - mmseg - INFO - Iter [60850/160000] lr: 1.875e-05, eta: 5:47:22, time: 0.173, data_time: 0.007, memory: 52541, decode.loss_ce: 0.1904, decode.acc_seg: 92.2510, loss: 0.1904 +2023-03-04 04:45:21,622 - mmseg - INFO - Iter [60900/160000] lr: 1.875e-05, eta: 5:47:08, time: 0.173, data_time: 0.007, memory: 52541, decode.loss_ce: 0.1911, decode.acc_seg: 92.1401, loss: 0.1911 +2023-03-04 04:45:29,870 - mmseg - INFO - Iter [60950/160000] lr: 1.875e-05, eta: 5:46:54, time: 0.165, data_time: 0.007, memory: 52541, decode.loss_ce: 0.1960, decode.acc_seg: 91.8741, loss: 0.1960 +2023-03-04 04:45:38,358 - mmseg - INFO - Exp name: ablation_segformer_mit_b2_segformer_head_unet_fc_small_multi_step_ade_pretrained_freeze_embed_160k_ade20k151_finetune_ema_winit.py +2023-03-04 04:45:38,358 - mmseg - INFO - Iter [61000/160000] lr: 1.875e-05, eta: 5:46:40, time: 0.170, data_time: 0.007, memory: 52541, decode.loss_ce: 0.1984, decode.acc_seg: 91.9650, loss: 0.1984 +2023-03-04 04:45:46,812 - mmseg - INFO - Iter [61050/160000] lr: 1.875e-05, eta: 5:46:26, time: 0.169, data_time: 0.007, memory: 52541, decode.loss_ce: 0.1843, decode.acc_seg: 92.2448, loss: 0.1843 +2023-03-04 04:45:55,775 - mmseg - INFO - Iter [61100/160000] lr: 1.875e-05, eta: 5:46:13, time: 0.179, data_time: 0.007, memory: 52541, decode.loss_ce: 0.1858, decode.acc_seg: 92.4409, loss: 0.1858 +2023-03-04 04:46:04,215 - mmseg - INFO - Iter [61150/160000] lr: 1.875e-05, eta: 5:45:59, time: 0.169, data_time: 0.007, memory: 52541, decode.loss_ce: 0.1896, decode.acc_seg: 92.1049, loss: 0.1896 +2023-03-04 04:46:12,509 - mmseg - INFO - Iter [61200/160000] lr: 1.875e-05, eta: 5:45:45, time: 0.166, data_time: 0.007, memory: 52541, decode.loss_ce: 0.1986, decode.acc_seg: 91.9767, loss: 0.1986 +2023-03-04 04:46:23,537 - mmseg - INFO - Iter [61250/160000] lr: 1.875e-05, eta: 5:45:36, time: 0.221, data_time: 0.055, memory: 52541, decode.loss_ce: 0.1964, decode.acc_seg: 91.9880, loss: 0.1964 +2023-03-04 04:46:31,823 - mmseg - INFO - Iter [61300/160000] lr: 1.875e-05, eta: 5:45:22, time: 0.166, data_time: 0.007, memory: 52541, decode.loss_ce: 0.1863, decode.acc_seg: 92.0540, loss: 0.1863 +2023-03-04 04:46:40,253 - mmseg - INFO - Iter [61350/160000] lr: 1.875e-05, eta: 5:45:08, time: 0.169, data_time: 0.007, memory: 52541, decode.loss_ce: 0.1973, decode.acc_seg: 91.9080, loss: 0.1973 +2023-03-04 04:46:48,837 - mmseg - INFO - Iter [61400/160000] lr: 1.875e-05, eta: 5:44:54, time: 0.172, data_time: 0.007, memory: 52541, decode.loss_ce: 0.1896, decode.acc_seg: 92.0967, loss: 0.1896 +2023-03-04 04:46:57,080 - mmseg - INFO - Iter [61450/160000] lr: 1.875e-05, eta: 5:44:40, time: 0.165, data_time: 0.007, memory: 52541, decode.loss_ce: 0.1920, decode.acc_seg: 92.0452, loss: 0.1920 +2023-03-04 04:47:05,916 - mmseg - INFO - Iter [61500/160000] lr: 1.875e-05, eta: 5:44:27, time: 0.177, data_time: 0.008, memory: 52541, decode.loss_ce: 0.1834, decode.acc_seg: 92.3817, loss: 0.1834 +2023-03-04 04:47:14,254 - mmseg - INFO - Iter [61550/160000] lr: 1.875e-05, eta: 5:44:13, time: 0.167, data_time: 0.007, memory: 52541, decode.loss_ce: 0.1955, decode.acc_seg: 92.0570, loss: 0.1955 +2023-03-04 04:47:22,675 - mmseg - INFO - Iter [61600/160000] lr: 1.875e-05, eta: 5:43:59, time: 0.168, data_time: 0.007, memory: 52541, decode.loss_ce: 0.1810, decode.acc_seg: 92.4737, loss: 0.1810 +2023-03-04 04:47:31,246 - mmseg - INFO - Iter [61650/160000] lr: 1.875e-05, eta: 5:43:46, time: 0.171, data_time: 0.007, memory: 52541, decode.loss_ce: 0.1950, decode.acc_seg: 91.9488, loss: 0.1950 +2023-03-04 04:47:39,658 - mmseg - INFO - Iter [61700/160000] lr: 1.875e-05, eta: 5:43:32, time: 0.168, data_time: 0.007, memory: 52541, decode.loss_ce: 0.1994, decode.acc_seg: 91.9748, loss: 0.1994 +2023-03-04 04:47:48,083 - mmseg - INFO - Iter [61750/160000] lr: 1.875e-05, eta: 5:43:18, time: 0.169, data_time: 0.007, memory: 52541, decode.loss_ce: 0.1965, decode.acc_seg: 91.9783, loss: 0.1965 +2023-03-04 04:47:56,550 - mmseg - INFO - Iter [61800/160000] lr: 1.875e-05, eta: 5:43:04, time: 0.169, data_time: 0.007, memory: 52541, decode.loss_ce: 0.1944, decode.acc_seg: 92.0586, loss: 0.1944 +2023-03-04 04:48:07,583 - mmseg - INFO - Iter [61850/160000] lr: 1.875e-05, eta: 5:42:55, time: 0.221, data_time: 0.055, memory: 52541, decode.loss_ce: 0.1901, decode.acc_seg: 92.1175, loss: 0.1901 +2023-03-04 04:48:16,066 - mmseg - INFO - Iter [61900/160000] lr: 1.875e-05, eta: 5:42:41, time: 0.170, data_time: 0.007, memory: 52541, decode.loss_ce: 0.1879, decode.acc_seg: 92.2328, loss: 0.1879 +2023-03-04 04:48:25,097 - mmseg - INFO - Iter [61950/160000] lr: 1.875e-05, eta: 5:42:28, time: 0.180, data_time: 0.006, memory: 52541, decode.loss_ce: 0.1836, decode.acc_seg: 92.4886, loss: 0.1836 +2023-03-04 04:48:34,253 - mmseg - INFO - Exp name: ablation_segformer_mit_b2_segformer_head_unet_fc_small_multi_step_ade_pretrained_freeze_embed_160k_ade20k151_finetune_ema_winit.py +2023-03-04 04:48:34,253 - mmseg - INFO - Iter [62000/160000] lr: 1.875e-05, eta: 5:42:16, time: 0.183, data_time: 0.006, memory: 52541, decode.loss_ce: 0.1899, decode.acc_seg: 92.0631, loss: 0.1899 +2023-03-04 04:48:42,768 - mmseg - INFO - Iter [62050/160000] lr: 1.875e-05, eta: 5:42:02, time: 0.170, data_time: 0.007, memory: 52541, decode.loss_ce: 0.1950, decode.acc_seg: 91.9511, loss: 0.1950 +2023-03-04 04:48:51,276 - mmseg - INFO - Iter [62100/160000] lr: 1.875e-05, eta: 5:41:49, time: 0.170, data_time: 0.007, memory: 52541, decode.loss_ce: 0.1948, decode.acc_seg: 91.9066, loss: 0.1948 +2023-03-04 04:48:59,863 - mmseg - INFO - Iter [62150/160000] lr: 1.875e-05, eta: 5:41:35, time: 0.172, data_time: 0.007, memory: 52541, decode.loss_ce: 0.1931, decode.acc_seg: 92.0283, loss: 0.1931 +2023-03-04 04:49:08,233 - mmseg - INFO - Iter [62200/160000] lr: 1.875e-05, eta: 5:41:21, time: 0.168, data_time: 0.007, memory: 52541, decode.loss_ce: 0.1909, decode.acc_seg: 92.0570, loss: 0.1909 +2023-03-04 04:49:16,615 - mmseg - INFO - Iter [62250/160000] lr: 1.875e-05, eta: 5:41:08, time: 0.168, data_time: 0.007, memory: 52541, decode.loss_ce: 0.1929, decode.acc_seg: 92.0651, loss: 0.1929 +2023-03-04 04:49:25,090 - mmseg - INFO - Iter [62300/160000] lr: 1.875e-05, eta: 5:40:54, time: 0.169, data_time: 0.007, memory: 52541, decode.loss_ce: 0.1899, decode.acc_seg: 92.3039, loss: 0.1899 +2023-03-04 04:49:33,538 - mmseg - INFO - Iter [62350/160000] lr: 1.875e-05, eta: 5:40:40, time: 0.169, data_time: 0.007, memory: 52541, decode.loss_ce: 0.1983, decode.acc_seg: 91.9826, loss: 0.1983 +2023-03-04 04:49:42,245 - mmseg - INFO - Iter [62400/160000] lr: 1.875e-05, eta: 5:40:27, time: 0.174, data_time: 0.007, memory: 52541, decode.loss_ce: 0.1826, decode.acc_seg: 92.4461, loss: 0.1826 +2023-03-04 04:49:50,901 - mmseg - INFO - Iter [62450/160000] lr: 1.875e-05, eta: 5:40:14, time: 0.173, data_time: 0.007, memory: 52541, decode.loss_ce: 0.1971, decode.acc_seg: 92.0053, loss: 0.1971 +2023-03-04 04:50:01,802 - mmseg - INFO - Iter [62500/160000] lr: 1.875e-05, eta: 5:40:04, time: 0.218, data_time: 0.055, memory: 52541, decode.loss_ce: 0.1906, decode.acc_seg: 92.1141, loss: 0.1906 +2023-03-04 04:50:10,233 - mmseg - INFO - Iter [62550/160000] lr: 1.875e-05, eta: 5:39:51, time: 0.169, data_time: 0.007, memory: 52541, decode.loss_ce: 0.1936, decode.acc_seg: 92.1177, loss: 0.1936 +2023-03-04 04:50:18,829 - mmseg - INFO - Iter [62600/160000] lr: 1.875e-05, eta: 5:39:37, time: 0.172, data_time: 0.008, memory: 52541, decode.loss_ce: 0.1881, decode.acc_seg: 92.2909, loss: 0.1881 +2023-03-04 04:50:27,357 - mmseg - INFO - Iter [62650/160000] lr: 1.875e-05, eta: 5:39:24, time: 0.171, data_time: 0.007, memory: 52541, decode.loss_ce: 0.1918, decode.acc_seg: 92.0339, loss: 0.1918 +2023-03-04 04:50:36,204 - mmseg - INFO - Iter [62700/160000] lr: 1.875e-05, eta: 5:39:11, time: 0.177, data_time: 0.007, memory: 52541, decode.loss_ce: 0.1932, decode.acc_seg: 92.0088, loss: 0.1932 +2023-03-04 04:50:44,510 - mmseg - INFO - Iter [62750/160000] lr: 1.875e-05, eta: 5:38:57, time: 0.166, data_time: 0.007, memory: 52541, decode.loss_ce: 0.1849, decode.acc_seg: 92.2812, loss: 0.1849 +2023-03-04 04:50:53,138 - mmseg - INFO - Iter [62800/160000] lr: 1.875e-05, eta: 5:38:44, time: 0.172, data_time: 0.007, memory: 52541, decode.loss_ce: 0.1847, decode.acc_seg: 92.2845, loss: 0.1847 +2023-03-04 04:51:01,652 - mmseg - INFO - Iter [62850/160000] lr: 1.875e-05, eta: 5:38:30, time: 0.170, data_time: 0.007, memory: 52541, decode.loss_ce: 0.1872, decode.acc_seg: 92.3283, loss: 0.1872 +2023-03-04 04:51:10,098 - mmseg - INFO - Iter [62900/160000] lr: 1.875e-05, eta: 5:38:17, time: 0.169, data_time: 0.007, memory: 52541, decode.loss_ce: 0.1838, decode.acc_seg: 92.3509, loss: 0.1838 +2023-03-04 04:51:18,695 - mmseg - INFO - Iter [62950/160000] lr: 1.875e-05, eta: 5:38:03, time: 0.172, data_time: 0.007, memory: 52541, decode.loss_ce: 0.1880, decode.acc_seg: 92.4039, loss: 0.1880 +2023-03-04 04:51:27,344 - mmseg - INFO - Exp name: ablation_segformer_mit_b2_segformer_head_unet_fc_small_multi_step_ade_pretrained_freeze_embed_160k_ade20k151_finetune_ema_winit.py +2023-03-04 04:51:27,344 - mmseg - INFO - Iter [63000/160000] lr: 1.875e-05, eta: 5:37:50, time: 0.173, data_time: 0.007, memory: 52541, decode.loss_ce: 0.1926, decode.acc_seg: 92.2206, loss: 0.1926 +2023-03-04 04:51:35,993 - mmseg - INFO - Iter [63050/160000] lr: 1.875e-05, eta: 5:37:37, time: 0.173, data_time: 0.007, memory: 52541, decode.loss_ce: 0.1922, decode.acc_seg: 92.0845, loss: 0.1922 +2023-03-04 04:51:44,463 - mmseg - INFO - Iter [63100/160000] lr: 1.875e-05, eta: 5:37:23, time: 0.170, data_time: 0.007, memory: 52541, decode.loss_ce: 0.1901, decode.acc_seg: 92.1899, loss: 0.1901 +2023-03-04 04:51:55,706 - mmseg - INFO - Iter [63150/160000] lr: 1.875e-05, eta: 5:37:14, time: 0.225, data_time: 0.053, memory: 52541, decode.loss_ce: 0.1981, decode.acc_seg: 91.8651, loss: 0.1981 +2023-03-04 04:52:04,022 - mmseg - INFO - Iter [63200/160000] lr: 1.875e-05, eta: 5:37:01, time: 0.166, data_time: 0.007, memory: 52541, decode.loss_ce: 0.1959, decode.acc_seg: 91.9904, loss: 0.1959 +2023-03-04 04:52:12,384 - mmseg - INFO - Iter [63250/160000] lr: 1.875e-05, eta: 5:36:47, time: 0.167, data_time: 0.007, memory: 52541, decode.loss_ce: 0.1870, decode.acc_seg: 92.1973, loss: 0.1870 +2023-03-04 04:52:20,719 - mmseg - INFO - Iter [63300/160000] lr: 1.875e-05, eta: 5:36:33, time: 0.167, data_time: 0.007, memory: 52541, decode.loss_ce: 0.1862, decode.acc_seg: 92.2886, loss: 0.1862 +2023-03-04 04:52:29,502 - mmseg - INFO - Iter [63350/160000] lr: 1.875e-05, eta: 5:36:20, time: 0.175, data_time: 0.007, memory: 52541, decode.loss_ce: 0.1846, decode.acc_seg: 92.3981, loss: 0.1846 +2023-03-04 04:52:38,297 - mmseg - INFO - Iter [63400/160000] lr: 1.875e-05, eta: 5:36:07, time: 0.176, data_time: 0.007, memory: 52541, decode.loss_ce: 0.1918, decode.acc_seg: 92.1551, loss: 0.1918 +2023-03-04 04:52:46,941 - mmseg - INFO - Iter [63450/160000] lr: 1.875e-05, eta: 5:35:54, time: 0.173, data_time: 0.007, memory: 52541, decode.loss_ce: 0.1933, decode.acc_seg: 91.9050, loss: 0.1933 +2023-03-04 04:52:55,897 - mmseg - INFO - Iter [63500/160000] lr: 1.875e-05, eta: 5:35:41, time: 0.179, data_time: 0.007, memory: 52541, decode.loss_ce: 0.1955, decode.acc_seg: 92.0004, loss: 0.1955 +2023-03-04 04:53:04,559 - mmseg - INFO - Iter [63550/160000] lr: 1.875e-05, eta: 5:35:28, time: 0.173, data_time: 0.007, memory: 52541, decode.loss_ce: 0.1806, decode.acc_seg: 92.4970, loss: 0.1806 +2023-03-04 04:53:12,998 - mmseg - INFO - Iter [63600/160000] lr: 1.875e-05, eta: 5:35:15, time: 0.169, data_time: 0.007, memory: 52541, decode.loss_ce: 0.1971, decode.acc_seg: 91.7935, loss: 0.1971 +2023-03-04 04:53:21,637 - mmseg - INFO - Iter [63650/160000] lr: 1.875e-05, eta: 5:35:02, time: 0.173, data_time: 0.007, memory: 52541, decode.loss_ce: 0.1911, decode.acc_seg: 92.0954, loss: 0.1911 +2023-03-04 04:53:30,512 - mmseg - INFO - Iter [63700/160000] lr: 1.875e-05, eta: 5:34:49, time: 0.177, data_time: 0.007, memory: 52541, decode.loss_ce: 0.1879, decode.acc_seg: 92.3122, loss: 0.1879 +2023-03-04 04:53:41,392 - mmseg - INFO - Iter [63750/160000] lr: 1.875e-05, eta: 5:34:39, time: 0.218, data_time: 0.053, memory: 52541, decode.loss_ce: 0.1900, decode.acc_seg: 92.2244, loss: 0.1900 +2023-03-04 04:53:49,952 - mmseg - INFO - Iter [63800/160000] lr: 1.875e-05, eta: 5:34:26, time: 0.171, data_time: 0.007, memory: 52541, decode.loss_ce: 0.1955, decode.acc_seg: 91.9631, loss: 0.1955 +2023-03-04 04:53:58,478 - mmseg - INFO - Iter [63850/160000] lr: 1.875e-05, eta: 5:34:13, time: 0.170, data_time: 0.007, memory: 52541, decode.loss_ce: 0.1845, decode.acc_seg: 92.4323, loss: 0.1845 +2023-03-04 04:54:07,126 - mmseg - INFO - Iter [63900/160000] lr: 1.875e-05, eta: 5:34:00, time: 0.173, data_time: 0.008, memory: 52541, decode.loss_ce: 0.1862, decode.acc_seg: 92.3262, loss: 0.1862 +2023-03-04 04:54:15,934 - mmseg - INFO - Iter [63950/160000] lr: 1.875e-05, eta: 5:33:47, time: 0.176, data_time: 0.008, memory: 52541, decode.loss_ce: 0.1960, decode.acc_seg: 92.0386, loss: 0.1960 +2023-03-04 04:54:24,749 - mmseg - INFO - Swap parameters (after train) after iter [64000] +2023-03-04 04:54:24,762 - mmseg - INFO - Saving checkpoint at 64000 iterations +2023-03-04 04:54:25,808 - mmseg - INFO - Exp name: ablation_segformer_mit_b2_segformer_head_unet_fc_small_multi_step_ade_pretrained_freeze_embed_160k_ade20k151_finetune_ema_winit.py +2023-03-04 04:54:25,808 - mmseg - INFO - Iter [64000/160000] lr: 1.875e-05, eta: 5:33:35, time: 0.198, data_time: 0.007, memory: 52541, decode.loss_ce: 0.1894, decode.acc_seg: 92.2383, loss: 0.1894 +2023-03-04 05:05:16,715 - mmseg - INFO - per class results: +2023-03-04 05:05:16,724 - mmseg - INFO - ++---------------------+-------------------------------------------------------------------+ +| Class | IoU 0,10,20,30,40,50,60,70,80,90,99 | ++---------------------+-------------------------------------------------------------------+ +| background | nan,nan,nan,nan,nan,nan,nan,nan,nan,nan,nan | +| wall | 77.41,77.42,77.42,77.43,77.43,77.43,77.44,77.44,77.46,77.45,77.46 | +| building | 81.6,81.6,81.6,81.6,81.6,81.6,81.6,81.6,81.6,81.59,81.59 | +| sky | 94.44,94.44,94.44,94.44,94.44,94.44,94.44,94.44,94.44,94.44,94.44 | +| floor | 81.63,81.64,81.62,81.63,81.62,81.61,81.61,81.61,81.6,81.6,81.59 | +| tree | 74.29,74.29,74.29,74.29,74.29,74.28,74.29,74.28,74.28,74.28,74.28 | +| ceiling | 85.35,85.34,85.34,85.35,85.36,85.38,85.38,85.38,85.4,85.4,85.4 | +| road | 82.03,82.02,82.02,82.02,82.0,82.0,82.0,82.0,81.99,81.99,82.0 | +| bed | 87.88,87.89,87.9,87.89,87.87,87.9,87.89,87.89,87.9,87.88,87.88 | +| windowpane | 60.66,60.61,60.61,60.61,60.6,60.62,60.6,60.59,60.59,60.59,60.58 | +| grass | 67.24,67.23,67.2,67.21,67.23,67.22,67.22,67.19,67.19,67.21,67.21 | +| cabinet | 61.39,61.38,61.4,61.36,61.33,61.39,61.31,61.35,61.36,61.26,61.34 | +| sidewalk | 64.25,64.26,64.25,64.27,64.26,64.26,64.29,64.29,64.29,64.3,64.29 | +| person | 79.6,79.59,79.6,79.59,79.59,79.59,79.6,79.59,79.6,79.59,79.61 | +| earth | 35.8,35.78,35.8,35.8,35.79,35.82,35.81,35.81,35.8,35.81,35.82 | +| door | 45.76,45.73,45.74,45.75,45.74,45.76,45.77,45.75,45.76,45.76,45.76 | +| table | 60.81,60.78,60.78,60.8,60.79,60.84,60.79,60.81,60.81,60.81,60.83 | +| mountain | 57.2,57.25,57.29,57.32,57.32,57.31,57.35,57.37,57.45,57.4,57.43 | +| plant | 50.02,50.03,50.02,50.05,50.03,50.03,50.05,50.06,50.07,50.06,50.04 | +| curtain | 74.9,74.9,74.89,74.9,74.86,74.87,74.87,74.84,74.86,74.84,74.84 | +| chair | 56.37,56.37,56.36,56.39,56.38,56.38,56.37,56.38,56.38,56.38,56.39 | +| car | 81.71,81.7,81.72,81.71,81.73,81.71,81.72,81.72,81.73,81.71,81.72 | +| water | 57.26,57.27,57.26,57.25,57.27,57.29,57.28,57.28,57.28,57.29,57.3 | +| painting | 70.42,70.41,70.46,70.49,70.54,70.59,70.6,70.64,70.66,70.73,70.76 | +| sofa | 64.38,64.39,64.36,64.38,64.38,64.39,64.38,64.38,64.36,64.37,64.39 | +| shelf | 43.5,43.48,43.47,43.46,43.43,43.47,43.47,43.44,43.48,43.43,43.48 | +| house | 42.46,42.42,42.37,42.3,42.27,42.14,42.16,42.06,41.96,41.9,41.87 | +| sea | 60.36,60.39,60.4,60.4,60.39,60.39,60.41,60.39,60.4,60.41,60.41 | +| mirror | 66.45,66.52,66.52,66.59,66.57,66.56,66.6,66.62,66.66,66.65,66.68 | +| rug | 63.57,63.62,63.52,63.53,63.47,63.4,63.42,63.4,63.38,63.34,63.28 | +| field | 30.7,30.72,30.73,30.73,30.74,30.76,30.77,30.8,30.81,30.81,30.81 | +| armchair | 37.7,37.69,37.65,37.67,37.66,37.68,37.64,37.63,37.6,37.61,37.6 | +| seat | 66.27,66.18,66.19,66.17,66.18,66.2,66.14,66.14,66.12,66.11,66.12 | +| fence | 40.7,40.75,40.78,40.8,40.79,40.73,40.81,40.81,40.85,40.84,40.84 | +| desk | 46.97,46.92,46.94,46.88,46.87,46.91,46.79,46.92,46.86,46.82,46.91 | +| rock | 36.86,36.83,36.84,36.8,36.83,36.84,36.8,36.82,36.79,36.8,36.8 | +| wardrobe | 57.49,57.43,57.42,57.42,57.39,57.41,57.35,57.32,57.33,57.28,57.31 | +| lamp | 61.72,61.7,61.69,61.72,61.67,61.72,61.71,61.74,61.72,61.72,61.72 | +| bathtub | 77.38,77.42,77.37,77.38,77.31,77.28,77.29,77.27,77.23,77.17,77.12 | +| railing | 33.74,33.73,33.7,33.73,33.72,33.71,33.71,33.68,33.67,33.66,33.68 | +| cushion | 56.32,56.35,56.25,56.28,56.25,56.24,56.19,56.19,56.16,56.1,56.07 | +| base | 22.16,22.21,22.19,22.21,22.2,22.17,22.24,22.18,22.26,22.23,22.22 | +| box | 23.19,23.22,23.2,23.23,23.23,23.24,23.23,23.22,23.22,23.23,23.22 | +| column | 46.09,46.19,46.14,46.17,46.18,46.18,46.23,46.23,46.24,46.24,46.24 | +| signboard | 37.81,37.82,37.8,37.83,37.81,37.81,37.85,37.85,37.87,37.87,37.87 | +| chest of drawers | 36.32,36.32,36.32,36.27,36.29,36.31,36.3,36.27,36.35,36.24,36.26 | +| counter | 30.57,30.56,30.58,30.56,30.59,30.62,30.63,30.65,30.64,30.65,30.66 | +| sand | 42.74,42.72,42.75,42.74,42.72,42.78,42.76,42.81,42.83,42.82,42.88 | +| sink | 67.81,67.82,67.81,67.84,67.87,67.91,67.9,67.9,67.89,67.94,67.93 | +| skyscraper | 49.68,49.8,49.76,49.73,49.72,49.61,49.68,49.62,49.61,49.59,49.63 | +| fireplace | 75.06,75.12,75.09,75.12,75.11,75.07,75.12,75.12,75.12,75.09,75.08 | +| refrigerator | 74.29,74.25,74.22,74.25,74.16,74.13,74.1,74.03,74.07,73.94,73.92 | +| grandstand | 50.14,49.97,49.86,49.81,49.83,49.72,49.7,49.67,49.62,49.5,49.57 | +| path | 21.66,21.69,21.66,21.66,21.67,21.65,21.67,21.67,21.66,21.65,21.66 | +| stairs | 31.08,31.0,30.98,30.93,30.9,30.91,30.86,30.84,30.84,30.81,30.8 | +| runway | 67.83,67.84,67.85,67.8,67.75,67.71,67.73,67.68,67.72,67.62,67.62 | +| case | 48.23,48.22,48.17,48.14,48.18,48.19,48.17,48.12,48.13,48.16,48.13 | +| pool table | 92.12,92.11,92.11,92.1,92.1,92.07,92.07,92.06,92.05,92.04,92.04 | +| pillow | 60.12,60.14,60.16,60.23,60.21,60.24,60.33,60.23,60.31,60.22,60.23 | +| screen door | 69.6,69.76,69.78,69.79,69.79,69.75,69.8,69.82,69.84,69.72,69.68 | +| stairway | 23.58,23.57,23.52,23.53,23.54,23.5,23.54,23.5,23.57,23.52,23.5 | +| river | 11.87,11.88,11.88,11.88,11.88,11.86,11.88,11.88,11.88,11.87,11.87 | +| bridge | 31.79,31.79,31.73,31.72,31.67,31.57,31.61,31.54,31.5,31.45,31.44 | +| bookcase | 46.01,45.91,45.9,45.96,45.96,46.04,45.98,45.97,46.04,45.97,46.06 | +| blind | 39.95,40.01,40.0,39.89,39.93,39.79,39.86,39.84,39.82,39.8,39.75 | +| coffee table | 53.04,53.03,52.98,52.93,52.82,52.91,52.87,52.82,52.83,52.72,52.73 | +| toilet | 84.13,84.12,84.15,84.15,84.18,84.26,84.22,84.26,84.28,84.28,84.33 | +| flower | 38.86,38.85,38.86,38.86,38.88,38.88,38.91,38.93,38.92,38.94,38.95 | +| book | 44.69,44.66,44.7,44.72,44.75,44.79,44.77,44.81,44.8,44.85,44.89 | +| hill | 15.77,15.79,15.74,15.8,15.86,15.9,15.91,15.93,15.93,15.97,15.98 | +| bench | 42.78,42.76,42.82,42.82,42.8,42.82,42.83,42.82,42.83,42.78,42.82 | +| countertop | 56.22,56.18,56.2,56.19,56.25,56.3,56.22,56.26,56.22,56.25,56.28 | +| stove | 72.22,72.21,72.21,72.24,72.25,72.2,72.21,72.22,72.18,72.19,72.2 | +| palm | 48.03,47.99,47.97,47.97,47.99,47.99,47.98,47.96,47.94,47.96,47.95 | +| kitchen island | 43.9,43.74,43.71,43.63,43.69,43.75,43.52,43.65,43.59,43.48,43.74 | +| computer | 60.6,60.59,60.62,60.6,60.61,60.64,60.62,60.64,60.65,60.66,60.66 | +| swivel chair | 43.27,43.23,43.22,43.19,43.14,43.08,43.1,43.03,43.03,42.99,42.93 | +| boat | 72.64,72.6,72.6,72.73,72.77,72.81,72.88,72.94,72.93,72.98,73.01 | +| bar | 23.85,23.84,23.85,23.87,23.88,23.89,23.89,23.9,23.92,23.93,23.95 | +| arcade machine | 69.68,69.99,69.86,69.94,70.17,70.14,70.23,70.25,70.57,70.54,70.72 | +| hovel | 31.43,31.4,31.44,31.33,31.22,31.22,31.1,31.01,31.06,30.97,30.86 | +| bus | 80.06,79.99,79.99,79.99,80.01,80.06,79.98,79.99,79.97,79.97,79.94 | +| towel | 62.79,62.8,62.84,62.8,62.81,62.83,62.84,62.86,62.88,62.82,62.83 | +| light | 55.47,55.36,55.24,55.22,55.23,55.08,55.04,55.01,54.87,54.88,54.83 | +| truck | 19.22,19.27,19.12,19.21,19.15,19.05,18.99,19.06,18.95,18.9,18.94 | +| tower | 6.48,6.59,6.55,6.51,6.47,6.38,6.46,6.46,6.42,6.43,6.4 | +| chandelier | 64.1,64.09,64.08,64.02,64.12,64.09,64.1,64.1,64.06,64.1,64.09 | +| awning | 24.18,24.2,24.21,24.27,24.18,24.21,24.26,24.31,24.3,24.28,24.33 | +| streetlight | 27.2,27.22,27.15,27.12,27.15,27.14,27.11,27.17,27.14,27.13,27.16 | +| booth | 45.87,46.04,46.04,46.2,46.21,46.02,46.17,46.14,46.13,46.19,46.05 | +| television receiver | 63.69,63.69,63.71,63.7,63.71,63.66,63.66,63.69,63.64,63.65,63.67 | +| airplane | 59.82,59.78,59.82,59.89,59.88,59.87,59.87,59.9,59.88,59.91,59.9 | +| dirt track | 19.55,19.62,19.73,19.91,19.94,20.08,20.17,20.22,20.28,20.37,20.31 | +| apparel | 33.54,33.55,33.5,33.5,33.61,33.61,33.65,33.63,33.55,33.64,33.64 | +| pole | 19.03,18.99,19.0,18.97,18.95,18.96,18.92,18.93,18.9,18.9,18.87 | +| land | 3.57,3.58,3.59,3.61,3.57,3.59,3.61,3.61,3.62,3.61,3.64 | +| bannister | 12.6,12.65,12.65,12.65,12.66,12.63,12.68,12.7,12.67,12.68,12.69 | +| escalator | 24.23,24.31,24.28,24.26,24.21,24.12,24.23,24.2,24.2,24.14,24.08 | +| ottoman | 41.98,41.81,41.81,41.64,41.67,41.84,41.74,41.75,41.6,41.55,41.54 | +| bottle | 34.62,34.67,34.62,34.59,34.58,34.63,34.56,34.58,34.56,34.57,34.53 | +| buffet | 39.99,40.19,40.15,40.33,40.29,40.3,40.34,40.46,40.49,40.71,40.49 | +| poster | 22.51,22.52,22.56,22.51,22.59,22.61,22.56,22.6,22.61,22.62,22.64 | +| stage | 15.29,15.29,15.25,15.26,15.21,15.19,15.25,15.18,15.14,15.16,15.11 | +| van | 38.14,38.18,38.16,38.19,38.15,38.18,38.14,38.15,38.19,38.14,38.12 | +| ship | 82.8,82.82,82.83,82.88,82.89,82.99,82.95,83.02,82.99,83.02,83.03 | +| fountain | 19.96,19.96,19.93,19.9,20.04,20.07,20.07,20.06,20.03,20.07,20.01 | +| conveyer belt | 84.51,84.46,84.51,84.44,84.5,84.67,84.49,84.51,84.51,84.52,84.56 | +| canopy | 24.59,24.7,24.61,24.58,24.55,24.41,24.41,24.49,24.45,24.36,24.26 | +| washer | 74.38,74.4,74.5,74.51,74.47,74.4,74.52,74.49,74.55,74.54,74.54 | +| plaything | 20.29,20.28,20.31,20.28,20.29,20.35,20.38,20.37,20.39,20.42,20.4 | +| swimming pool | 74.23,74.38,74.28,74.32,74.25,74.12,74.25,74.1,74.12,74.11,73.89 | +| stool | 43.83,43.87,43.93,43.89,43.81,43.74,43.78,43.8,43.8,43.76,43.73 | +| barrel | 42.49,41.57,41.47,41.68,42.23,41.78,41.26,41.84,41.19,41.67,41.63 | +| basket | 24.55,24.47,24.55,24.53,24.51,24.54,24.56,24.56,24.59,24.57,24.58 | +| waterfall | 47.96,47.89,47.88,47.88,47.89,47.96,47.88,47.84,47.8,47.81,47.87 | +| tent | 94.87,94.9,94.84,94.88,94.88,94.85,94.88,94.86,94.87,94.87,94.86 | +| bag | 16.19,16.22,16.25,16.32,16.44,16.4,16.43,16.44,16.46,16.57,16.56 | +| minibike | 61.73,61.77,61.64,61.61,61.57,61.54,61.54,61.48,61.4,61.39,61.36 | +| cradle | 83.69,83.66,83.67,83.7,83.68,83.66,83.7,83.68,83.69,83.68,83.73 | +| oven | 47.82,47.79,47.68,47.75,47.76,47.65,47.6,47.57,47.56,47.54,47.49 | +| ball | 44.67,44.76,44.92,45.02,45.06,44.95,45.13,45.2,45.14,45.32,45.36 | +| food | 54.48,54.45,54.49,54.45,54.6,54.73,54.63,54.62,54.66,54.73,54.76 | +| step | 6.22,6.13,6.05,6.02,5.96,5.93,5.8,5.83,5.75,5.69,5.72 | +| tank | 52.9,52.69,52.74,52.69,52.85,52.97,52.75,52.79,52.86,52.81,52.82 | +| trade name | 28.11,28.09,28.04,28.06,27.86,27.83,27.93,27.84,27.89,27.75,27.8 | +| microwave | 72.73,72.67,72.63,72.68,72.69,72.64,72.63,72.52,72.56,72.55,72.55 | +| pot | 29.62,29.57,29.54,29.54,29.56,29.61,29.54,29.54,29.57,29.57,29.55 | +| animal | 54.63,54.62,54.59,54.61,54.57,54.59,54.55,54.58,54.53,54.55,54.54 | +| bicycle | 54.64,54.75,54.65,54.72,54.68,54.76,54.77,54.84,54.78,54.79,54.8 | +| lake | 56.8,56.81,56.79,56.79,56.8,56.82,56.8,56.81,56.78,56.81,56.78 | +| dishwasher | 65.09,65.16,65.05,65.17,65.15,65.25,65.19,65.17,65.15,65.16,65.19 | +| screen | 69.0,68.77,68.75,68.52,68.71,68.7,68.58,68.47,68.35,68.49,68.47 | +| blanket | 16.71,16.66,16.67,16.7,16.69,16.74,16.72,16.74,16.77,16.74,16.81 | +| sculpture | 59.32,59.2,59.2,59.29,59.13,59.38,59.24,59.3,59.29,59.3,59.49 | +| hood | 57.18,57.16,57.19,57.26,57.33,57.45,57.41,57.52,57.55,57.53,57.58 | +| sconce | 42.6,42.57,42.57,42.56,42.55,42.49,42.57,42.54,42.49,42.54,42.5 | +| vase | 36.63,36.66,36.72,36.64,36.72,36.75,36.7,36.57,36.63,36.61,36.65 | +| traffic light | 32.79,32.84,32.83,32.85,32.83,32.84,32.84,32.86,32.85,32.83,32.81 | +| tray | 7.5,7.4,7.53,7.51,7.49,7.59,7.59,7.65,7.67,7.67,7.75 | +| ashcan | 41.69,41.71,41.82,41.78,41.72,41.81,41.8,41.71,41.82,41.78,41.88 | +| fan | 58.37,58.32,58.41,58.44,58.41,58.4,58.38,58.41,58.42,58.38,58.42 | +| pier | 51.02,51.12,50.98,51.08,51.15,51.21,51.36,51.29,51.31,51.49,51.5 | +| crt screen | 10.5,10.53,10.54,10.54,10.54,10.56,10.57,10.59,10.57,10.61,10.6 | +| plate | 52.75,52.67,52.75,52.73,52.7,52.68,52.64,52.62,52.63,52.61,52.58 | +| monitor | 18.17,18.32,18.3,18.29,18.5,18.44,18.54,18.63,18.53,18.76,18.73 | +| bulletin board | 37.97,38.24,38.24,38.33,38.2,38.28,38.4,38.45,38.55,38.56,38.53 | +| shower | 1.79,1.81,1.83,1.81,1.82,1.8,1.78,1.8,1.79,1.78,1.77 | +| radiator | 60.17,59.8,59.76,59.69,59.8,59.71,59.7,59.45,59.5,59.54,59.49 | +| glass | 13.37,13.39,13.35,13.37,13.33,13.35,13.33,13.32,13.34,13.32,13.34 | +| clock | 34.79,34.82,34.72,34.7,34.9,34.64,34.71,34.59,34.57,34.61,34.48 | +| flag | 34.29,34.24,34.14,34.12,34.1,33.98,33.91,33.92,33.81,33.68,33.64 | ++---------------------+-------------------------------------------------------------------+ +2023-03-04 05:05:16,724 - mmseg - INFO - Summary: +2023-03-04 05:05:16,724 - mmseg - INFO - ++------------------------------------------------------------------+ +| mIoU 0,10,20,30,40,50,60,70,80,90,99 | ++------------------------------------------------------------------+ +| 48.6,48.59,48.58,48.59,48.59,48.59,48.59,48.59,48.58,48.58,48.58 | ++------------------------------------------------------------------+ +2023-03-04 05:05:16,724 - mmseg - INFO - Exp name: ablation_segformer_mit_b2_segformer_head_unet_fc_small_multi_step_ade_pretrained_freeze_embed_160k_ade20k151_finetune_ema_winit.py +2023-03-04 05:05:16,724 - mmseg - INFO - Iter(val) [250] mIoU: [0.486, 0.4859, 0.4858, 0.4859, 0.4859, 0.4859, 0.4859, 0.4859, 0.4858, 0.4858, 0.4858], copy_paste: 48.6,48.59,48.58,48.59,48.59,48.59,48.59,48.59,48.58,48.58,48.58 +2023-03-04 05:05:16,731 - mmseg - INFO - Swap parameters (before train) before iter [64001] +2023-03-04 05:05:25,347 - mmseg - INFO - Iter [64050/160000] lr: 1.875e-05, eta: 5:49:37, time: 13.191, data_time: 13.027, memory: 52541, decode.loss_ce: 0.1844, decode.acc_seg: 92.3540, loss: 0.1844 +2023-03-04 05:05:34,006 - mmseg - INFO - Iter [64100/160000] lr: 1.875e-05, eta: 5:49:23, time: 0.173, data_time: 0.008, memory: 52541, decode.loss_ce: 0.1836, decode.acc_seg: 92.4602, loss: 0.1836 +2023-03-04 05:05:42,674 - mmseg - INFO - Iter [64150/160000] lr: 1.875e-05, eta: 5:49:09, time: 0.173, data_time: 0.007, memory: 52541, decode.loss_ce: 0.1936, decode.acc_seg: 91.9731, loss: 0.1936 +2023-03-04 05:05:51,139 - mmseg - INFO - Iter [64200/160000] lr: 1.875e-05, eta: 5:48:54, time: 0.169, data_time: 0.007, memory: 52541, decode.loss_ce: 0.1927, decode.acc_seg: 92.0772, loss: 0.1927 +2023-03-04 05:05:59,717 - mmseg - INFO - Iter [64250/160000] lr: 1.875e-05, eta: 5:48:40, time: 0.172, data_time: 0.007, memory: 52541, decode.loss_ce: 0.1854, decode.acc_seg: 92.2455, loss: 0.1854 +2023-03-04 05:06:08,347 - mmseg - INFO - Iter [64300/160000] lr: 1.875e-05, eta: 5:48:25, time: 0.172, data_time: 0.007, memory: 52541, decode.loss_ce: 0.1979, decode.acc_seg: 91.9467, loss: 0.1979 +2023-03-04 05:06:16,899 - mmseg - INFO - Iter [64350/160000] lr: 1.875e-05, eta: 5:48:11, time: 0.171, data_time: 0.008, memory: 52541, decode.loss_ce: 0.1780, decode.acc_seg: 92.6441, loss: 0.1780 +2023-03-04 05:06:28,167 - mmseg - INFO - Iter [64400/160000] lr: 1.875e-05, eta: 5:48:00, time: 0.225, data_time: 0.055, memory: 52541, decode.loss_ce: 0.1897, decode.acc_seg: 92.0437, loss: 0.1897 +2023-03-04 05:06:36,794 - mmseg - INFO - Iter [64450/160000] lr: 1.875e-05, eta: 5:47:46, time: 0.172, data_time: 0.007, memory: 52541, decode.loss_ce: 0.1918, decode.acc_seg: 92.0373, loss: 0.1918 +2023-03-04 05:06:45,554 - mmseg - INFO - Iter [64500/160000] lr: 1.875e-05, eta: 5:47:32, time: 0.175, data_time: 0.007, memory: 52541, decode.loss_ce: 0.1869, decode.acc_seg: 92.2181, loss: 0.1869 +2023-03-04 05:06:54,254 - mmseg - INFO - Iter [64550/160000] lr: 1.875e-05, eta: 5:47:18, time: 0.174, data_time: 0.007, memory: 52541, decode.loss_ce: 0.1855, decode.acc_seg: 92.2969, loss: 0.1855 +2023-03-04 05:07:02,888 - mmseg - INFO - Iter [64600/160000] lr: 1.875e-05, eta: 5:47:04, time: 0.173, data_time: 0.007, memory: 52541, decode.loss_ce: 0.1932, decode.acc_seg: 92.0311, loss: 0.1932 +2023-03-04 05:07:11,109 - mmseg - INFO - Iter [64650/160000] lr: 1.875e-05, eta: 5:46:49, time: 0.164, data_time: 0.007, memory: 52541, decode.loss_ce: 0.1852, decode.acc_seg: 92.3592, loss: 0.1852 +2023-03-04 05:07:19,408 - mmseg - INFO - Iter [64700/160000] lr: 1.875e-05, eta: 5:46:34, time: 0.166, data_time: 0.007, memory: 52541, decode.loss_ce: 0.1916, decode.acc_seg: 92.1124, loss: 0.1916 +2023-03-04 05:07:27,613 - mmseg - INFO - Iter [64750/160000] lr: 1.875e-05, eta: 5:46:19, time: 0.164, data_time: 0.007, memory: 52541, decode.loss_ce: 0.1887, decode.acc_seg: 92.2905, loss: 0.1887 +2023-03-04 05:07:36,012 - mmseg - INFO - Iter [64800/160000] lr: 1.875e-05, eta: 5:46:04, time: 0.168, data_time: 0.008, memory: 52541, decode.loss_ce: 0.1958, decode.acc_seg: 91.8047, loss: 0.1958 +2023-03-04 05:07:44,553 - mmseg - INFO - Iter [64850/160000] lr: 1.875e-05, eta: 5:45:50, time: 0.171, data_time: 0.007, memory: 52541, decode.loss_ce: 0.1980, decode.acc_seg: 92.0232, loss: 0.1980 +2023-03-04 05:07:52,876 - mmseg - INFO - Iter [64900/160000] lr: 1.875e-05, eta: 5:45:35, time: 0.166, data_time: 0.007, memory: 52541, decode.loss_ce: 0.1957, decode.acc_seg: 91.9274, loss: 0.1957 +2023-03-04 05:08:01,219 - mmseg - INFO - Iter [64950/160000] lr: 1.875e-05, eta: 5:45:21, time: 0.167, data_time: 0.007, memory: 52541, decode.loss_ce: 0.1994, decode.acc_seg: 91.9445, loss: 0.1994 +2023-03-04 05:08:12,301 - mmseg - INFO - Exp name: ablation_segformer_mit_b2_segformer_head_unet_fc_small_multi_step_ade_pretrained_freeze_embed_160k_ade20k151_finetune_ema_winit.py +2023-03-04 05:08:12,301 - mmseg - INFO - Iter [65000/160000] lr: 1.875e-05, eta: 5:45:10, time: 0.222, data_time: 0.054, memory: 52541, decode.loss_ce: 0.1904, decode.acc_seg: 92.1953, loss: 0.1904 +2023-03-04 05:08:20,934 - mmseg - INFO - Iter [65050/160000] lr: 1.875e-05, eta: 5:44:56, time: 0.173, data_time: 0.007, memory: 52541, decode.loss_ce: 0.1938, decode.acc_seg: 92.1789, loss: 0.1938 +2023-03-04 05:08:29,514 - mmseg - INFO - Iter [65100/160000] lr: 1.875e-05, eta: 5:44:42, time: 0.172, data_time: 0.007, memory: 52541, decode.loss_ce: 0.1898, decode.acc_seg: 92.3148, loss: 0.1898 +2023-03-04 05:08:38,059 - mmseg - INFO - Iter [65150/160000] lr: 1.875e-05, eta: 5:44:27, time: 0.171, data_time: 0.007, memory: 52541, decode.loss_ce: 0.1963, decode.acc_seg: 91.8924, loss: 0.1963 +2023-03-04 05:08:46,885 - mmseg - INFO - Iter [65200/160000] lr: 1.875e-05, eta: 5:44:13, time: 0.177, data_time: 0.007, memory: 52541, decode.loss_ce: 0.1901, decode.acc_seg: 92.2273, loss: 0.1901 +2023-03-04 05:08:55,779 - mmseg - INFO - Iter [65250/160000] lr: 1.875e-05, eta: 5:44:00, time: 0.178, data_time: 0.008, memory: 52541, decode.loss_ce: 0.1857, decode.acc_seg: 92.3576, loss: 0.1857 +2023-03-04 05:09:03,996 - mmseg - INFO - Iter [65300/160000] lr: 1.875e-05, eta: 5:43:45, time: 0.165, data_time: 0.007, memory: 52541, decode.loss_ce: 0.1843, decode.acc_seg: 92.4125, loss: 0.1843 +2023-03-04 05:09:12,792 - mmseg - INFO - Iter [65350/160000] lr: 1.875e-05, eta: 5:43:31, time: 0.176, data_time: 0.007, memory: 52541, decode.loss_ce: 0.1897, decode.acc_seg: 92.1803, loss: 0.1897 +2023-03-04 05:09:21,119 - mmseg - INFO - Iter [65400/160000] lr: 1.875e-05, eta: 5:43:16, time: 0.167, data_time: 0.008, memory: 52541, decode.loss_ce: 0.1923, decode.acc_seg: 92.1631, loss: 0.1923 +2023-03-04 05:09:29,448 - mmseg - INFO - Iter [65450/160000] lr: 1.875e-05, eta: 5:43:02, time: 0.166, data_time: 0.007, memory: 52541, decode.loss_ce: 0.1847, decode.acc_seg: 92.3460, loss: 0.1847 +2023-03-04 05:09:37,894 - mmseg - INFO - Iter [65500/160000] lr: 1.875e-05, eta: 5:42:47, time: 0.169, data_time: 0.008, memory: 52541, decode.loss_ce: 0.1840, decode.acc_seg: 92.3487, loss: 0.1840 +2023-03-04 05:09:46,919 - mmseg - INFO - Iter [65550/160000] lr: 1.875e-05, eta: 5:42:34, time: 0.180, data_time: 0.008, memory: 52541, decode.loss_ce: 0.1978, decode.acc_seg: 91.8956, loss: 0.1978 +2023-03-04 05:09:55,495 - mmseg - INFO - Iter [65600/160000] lr: 1.875e-05, eta: 5:42:20, time: 0.172, data_time: 0.007, memory: 52541, decode.loss_ce: 0.1886, decode.acc_seg: 92.2536, loss: 0.1886 +2023-03-04 05:10:06,555 - mmseg - INFO - Iter [65650/160000] lr: 1.875e-05, eta: 5:42:09, time: 0.221, data_time: 0.058, memory: 52541, decode.loss_ce: 0.1839, decode.acc_seg: 92.3573, loss: 0.1839 +2023-03-04 05:10:14,839 - mmseg - INFO - Iter [65700/160000] lr: 1.875e-05, eta: 5:41:54, time: 0.166, data_time: 0.007, memory: 52541, decode.loss_ce: 0.1965, decode.acc_seg: 91.9140, loss: 0.1965 +2023-03-04 05:10:23,066 - mmseg - INFO - Iter [65750/160000] lr: 1.875e-05, eta: 5:41:40, time: 0.165, data_time: 0.007, memory: 52541, decode.loss_ce: 0.1813, decode.acc_seg: 92.5647, loss: 0.1813 +2023-03-04 05:10:31,592 - mmseg - INFO - Iter [65800/160000] lr: 1.875e-05, eta: 5:41:25, time: 0.171, data_time: 0.007, memory: 52541, decode.loss_ce: 0.1869, decode.acc_seg: 92.2909, loss: 0.1869 +2023-03-04 05:10:40,092 - mmseg - INFO - Iter [65850/160000] lr: 1.875e-05, eta: 5:41:11, time: 0.170, data_time: 0.007, memory: 52541, decode.loss_ce: 0.1917, decode.acc_seg: 92.0198, loss: 0.1917 +2023-03-04 05:10:48,576 - mmseg - INFO - Iter [65900/160000] lr: 1.875e-05, eta: 5:40:57, time: 0.170, data_time: 0.007, memory: 52541, decode.loss_ce: 0.1888, decode.acc_seg: 92.3491, loss: 0.1888 +2023-03-04 05:10:56,898 - mmseg - INFO - Iter [65950/160000] lr: 1.875e-05, eta: 5:40:42, time: 0.166, data_time: 0.007, memory: 52541, decode.loss_ce: 0.1788, decode.acc_seg: 92.4845, loss: 0.1788 +2023-03-04 05:11:05,194 - mmseg - INFO - Exp name: ablation_segformer_mit_b2_segformer_head_unet_fc_small_multi_step_ade_pretrained_freeze_embed_160k_ade20k151_finetune_ema_winit.py +2023-03-04 05:11:05,194 - mmseg - INFO - Iter [66000/160000] lr: 1.875e-05, eta: 5:40:28, time: 0.166, data_time: 0.007, memory: 52541, decode.loss_ce: 0.1943, decode.acc_seg: 92.0383, loss: 0.1943 +2023-03-04 05:11:13,865 - mmseg - INFO - Iter [66050/160000] lr: 1.875e-05, eta: 5:40:14, time: 0.173, data_time: 0.007, memory: 52541, decode.loss_ce: 0.1938, decode.acc_seg: 92.0368, loss: 0.1938 +2023-03-04 05:11:22,196 - mmseg - INFO - Iter [66100/160000] lr: 1.875e-05, eta: 5:39:59, time: 0.167, data_time: 0.007, memory: 52541, decode.loss_ce: 0.1889, decode.acc_seg: 92.2434, loss: 0.1889 +2023-03-04 05:11:30,822 - mmseg - INFO - Iter [66150/160000] lr: 1.875e-05, eta: 5:39:45, time: 0.172, data_time: 0.007, memory: 52541, decode.loss_ce: 0.1885, decode.acc_seg: 92.0017, loss: 0.1885 +2023-03-04 05:11:39,837 - mmseg - INFO - Iter [66200/160000] lr: 1.875e-05, eta: 5:39:32, time: 0.181, data_time: 0.008, memory: 52541, decode.loss_ce: 0.1809, decode.acc_seg: 92.4038, loss: 0.1809 +2023-03-04 05:11:48,196 - mmseg - INFO - Iter [66250/160000] lr: 1.875e-05, eta: 5:39:17, time: 0.167, data_time: 0.007, memory: 52541, decode.loss_ce: 0.1971, decode.acc_seg: 91.9205, loss: 0.1971 +2023-03-04 05:11:59,510 - mmseg - INFO - Iter [66300/160000] lr: 1.875e-05, eta: 5:39:07, time: 0.226, data_time: 0.053, memory: 52541, decode.loss_ce: 0.1871, decode.acc_seg: 92.3067, loss: 0.1871 +2023-03-04 05:12:08,220 - mmseg - INFO - Iter [66350/160000] lr: 1.875e-05, eta: 5:38:53, time: 0.174, data_time: 0.007, memory: 52541, decode.loss_ce: 0.1891, decode.acc_seg: 92.3897, loss: 0.1891 +2023-03-04 05:12:16,870 - mmseg - INFO - Iter [66400/160000] lr: 1.875e-05, eta: 5:38:39, time: 0.173, data_time: 0.008, memory: 52541, decode.loss_ce: 0.1873, decode.acc_seg: 92.2354, loss: 0.1873 +2023-03-04 05:12:25,170 - mmseg - INFO - Iter [66450/160000] lr: 1.875e-05, eta: 5:38:25, time: 0.166, data_time: 0.007, memory: 52541, decode.loss_ce: 0.1917, decode.acc_seg: 92.0070, loss: 0.1917 +2023-03-04 05:12:33,795 - mmseg - INFO - Iter [66500/160000] lr: 1.875e-05, eta: 5:38:11, time: 0.172, data_time: 0.007, memory: 52541, decode.loss_ce: 0.1853, decode.acc_seg: 92.3453, loss: 0.1853 +2023-03-04 05:12:42,353 - mmseg - INFO - Iter [66550/160000] lr: 1.875e-05, eta: 5:37:57, time: 0.171, data_time: 0.007, memory: 52541, decode.loss_ce: 0.1927, decode.acc_seg: 92.1411, loss: 0.1927 +2023-03-04 05:12:50,871 - mmseg - INFO - Iter [66600/160000] lr: 1.875e-05, eta: 5:37:43, time: 0.171, data_time: 0.007, memory: 52541, decode.loss_ce: 0.1890, decode.acc_seg: 92.3082, loss: 0.1890 +2023-03-04 05:12:59,323 - mmseg - INFO - Iter [66650/160000] lr: 1.875e-05, eta: 5:37:29, time: 0.169, data_time: 0.007, memory: 52541, decode.loss_ce: 0.1865, decode.acc_seg: 92.2464, loss: 0.1865 +2023-03-04 05:13:08,205 - mmseg - INFO - Iter [66700/160000] lr: 1.875e-05, eta: 5:37:15, time: 0.178, data_time: 0.008, memory: 52541, decode.loss_ce: 0.1829, decode.acc_seg: 92.4876, loss: 0.1829 +2023-03-04 05:13:16,979 - mmseg - INFO - Iter [66750/160000] lr: 1.875e-05, eta: 5:37:01, time: 0.175, data_time: 0.007, memory: 52541, decode.loss_ce: 0.1904, decode.acc_seg: 92.1407, loss: 0.1904 +2023-03-04 05:13:25,536 - mmseg - INFO - Iter [66800/160000] lr: 1.875e-05, eta: 5:36:47, time: 0.171, data_time: 0.007, memory: 52541, decode.loss_ce: 0.1937, decode.acc_seg: 92.1694, loss: 0.1937 +2023-03-04 05:13:33,855 - mmseg - INFO - Iter [66850/160000] lr: 1.875e-05, eta: 5:36:33, time: 0.167, data_time: 0.007, memory: 52541, decode.loss_ce: 0.1905, decode.acc_seg: 92.0862, loss: 0.1905 +2023-03-04 05:13:44,785 - mmseg - INFO - Iter [66900/160000] lr: 1.875e-05, eta: 5:36:22, time: 0.219, data_time: 0.056, memory: 52541, decode.loss_ce: 0.1857, decode.acc_seg: 92.3928, loss: 0.1857 +2023-03-04 05:13:53,149 - mmseg - INFO - Iter [66950/160000] lr: 1.875e-05, eta: 5:36:08, time: 0.167, data_time: 0.007, memory: 52541, decode.loss_ce: 0.1902, decode.acc_seg: 92.0951, loss: 0.1902 +2023-03-04 05:14:01,778 - mmseg - INFO - Exp name: ablation_segformer_mit_b2_segformer_head_unet_fc_small_multi_step_ade_pretrained_freeze_embed_160k_ade20k151_finetune_ema_winit.py +2023-03-04 05:14:01,778 - mmseg - INFO - Iter [67000/160000] lr: 1.875e-05, eta: 5:35:54, time: 0.173, data_time: 0.007, memory: 52541, decode.loss_ce: 0.1775, decode.acc_seg: 92.5856, loss: 0.1775 +2023-03-04 05:14:10,339 - mmseg - INFO - Iter [67050/160000] lr: 1.875e-05, eta: 5:35:40, time: 0.171, data_time: 0.008, memory: 52541, decode.loss_ce: 0.1906, decode.acc_seg: 91.9468, loss: 0.1906 +2023-03-04 05:14:19,021 - mmseg - INFO - Iter [67100/160000] lr: 1.875e-05, eta: 5:35:26, time: 0.174, data_time: 0.007, memory: 52541, decode.loss_ce: 0.1921, decode.acc_seg: 92.3165, loss: 0.1921 +2023-03-04 05:14:27,443 - mmseg - INFO - Iter [67150/160000] lr: 1.875e-05, eta: 5:35:12, time: 0.168, data_time: 0.008, memory: 52541, decode.loss_ce: 0.1963, decode.acc_seg: 92.0740, loss: 0.1963 +2023-03-04 05:14:35,885 - mmseg - INFO - Iter [67200/160000] lr: 1.875e-05, eta: 5:34:58, time: 0.169, data_time: 0.007, memory: 52541, decode.loss_ce: 0.1850, decode.acc_seg: 92.3669, loss: 0.1850 +2023-03-04 05:14:44,154 - mmseg - INFO - Iter [67250/160000] lr: 1.875e-05, eta: 5:34:43, time: 0.165, data_time: 0.007, memory: 52541, decode.loss_ce: 0.1953, decode.acc_seg: 92.1395, loss: 0.1953 +2023-03-04 05:14:52,835 - mmseg - INFO - Iter [67300/160000] lr: 1.875e-05, eta: 5:34:30, time: 0.173, data_time: 0.007, memory: 52541, decode.loss_ce: 0.1877, decode.acc_seg: 92.1672, loss: 0.1877 +2023-03-04 05:15:01,299 - mmseg - INFO - Iter [67350/160000] lr: 1.875e-05, eta: 5:34:16, time: 0.170, data_time: 0.007, memory: 52541, decode.loss_ce: 0.1915, decode.acc_seg: 92.1870, loss: 0.1915 +2023-03-04 05:15:09,676 - mmseg - INFO - Iter [67400/160000] lr: 1.875e-05, eta: 5:34:01, time: 0.168, data_time: 0.007, memory: 52541, decode.loss_ce: 0.1943, decode.acc_seg: 92.0108, loss: 0.1943 +2023-03-04 05:15:18,472 - mmseg - INFO - Iter [67450/160000] lr: 1.875e-05, eta: 5:33:48, time: 0.176, data_time: 0.008, memory: 52541, decode.loss_ce: 0.1917, decode.acc_seg: 92.1478, loss: 0.1917 +2023-03-04 05:15:27,211 - mmseg - INFO - Iter [67500/160000] lr: 1.875e-05, eta: 5:33:34, time: 0.175, data_time: 0.008, memory: 52541, decode.loss_ce: 0.1934, decode.acc_seg: 92.0307, loss: 0.1934 +2023-03-04 05:15:38,255 - mmseg - INFO - Iter [67550/160000] lr: 1.875e-05, eta: 5:33:24, time: 0.221, data_time: 0.056, memory: 52541, decode.loss_ce: 0.1911, decode.acc_seg: 92.1847, loss: 0.1911 +2023-03-04 05:15:46,915 - mmseg - INFO - Iter [67600/160000] lr: 1.875e-05, eta: 5:33:10, time: 0.173, data_time: 0.007, memory: 52541, decode.loss_ce: 0.1923, decode.acc_seg: 92.1897, loss: 0.1923 +2023-03-04 05:15:55,685 - mmseg - INFO - Iter [67650/160000] lr: 1.875e-05, eta: 5:32:56, time: 0.175, data_time: 0.007, memory: 52541, decode.loss_ce: 0.1939, decode.acc_seg: 92.0014, loss: 0.1939 +2023-03-04 05:16:04,068 - mmseg - INFO - Iter [67700/160000] lr: 1.875e-05, eta: 5:32:42, time: 0.168, data_time: 0.008, memory: 52541, decode.loss_ce: 0.1930, decode.acc_seg: 92.1564, loss: 0.1930 +2023-03-04 05:16:12,451 - mmseg - INFO - Iter [67750/160000] lr: 1.875e-05, eta: 5:32:28, time: 0.167, data_time: 0.007, memory: 52541, decode.loss_ce: 0.1949, decode.acc_seg: 91.8736, loss: 0.1949 +2023-03-04 05:16:21,571 - mmseg - INFO - Iter [67800/160000] lr: 1.875e-05, eta: 5:32:15, time: 0.182, data_time: 0.007, memory: 52541, decode.loss_ce: 0.2027, decode.acc_seg: 91.6684, loss: 0.2027 +2023-03-04 05:16:30,440 - mmseg - INFO - Iter [67850/160000] lr: 1.875e-05, eta: 5:32:01, time: 0.178, data_time: 0.007, memory: 52541, decode.loss_ce: 0.1883, decode.acc_seg: 92.2024, loss: 0.1883 +2023-03-04 05:16:38,768 - mmseg - INFO - Iter [67900/160000] lr: 1.875e-05, eta: 5:31:47, time: 0.167, data_time: 0.007, memory: 52541, decode.loss_ce: 0.1854, decode.acc_seg: 92.3791, loss: 0.1854 +2023-03-04 05:16:47,121 - mmseg - INFO - Iter [67950/160000] lr: 1.875e-05, eta: 5:31:33, time: 0.167, data_time: 0.007, memory: 52541, decode.loss_ce: 0.1898, decode.acc_seg: 92.1918, loss: 0.1898 +2023-03-04 05:16:55,720 - mmseg - INFO - Exp name: ablation_segformer_mit_b2_segformer_head_unet_fc_small_multi_step_ade_pretrained_freeze_embed_160k_ade20k151_finetune_ema_winit.py +2023-03-04 05:16:55,720 - mmseg - INFO - Iter [68000/160000] lr: 1.875e-05, eta: 5:31:19, time: 0.172, data_time: 0.007, memory: 52541, decode.loss_ce: 0.1948, decode.acc_seg: 91.9412, loss: 0.1948 +2023-03-04 05:17:03,991 - mmseg - INFO - Iter [68050/160000] lr: 1.875e-05, eta: 5:31:05, time: 0.165, data_time: 0.007, memory: 52541, decode.loss_ce: 0.1878, decode.acc_seg: 92.3074, loss: 0.1878 +2023-03-04 05:17:12,279 - mmseg - INFO - Iter [68100/160000] lr: 1.875e-05, eta: 5:30:51, time: 0.166, data_time: 0.007, memory: 52541, decode.loss_ce: 0.1900, decode.acc_seg: 92.2662, loss: 0.1900 +2023-03-04 05:17:23,369 - mmseg - INFO - Iter [68150/160000] lr: 1.875e-05, eta: 5:30:41, time: 0.222, data_time: 0.058, memory: 52541, decode.loss_ce: 0.1895, decode.acc_seg: 92.4049, loss: 0.1895 +2023-03-04 05:17:31,927 - mmseg - INFO - Iter [68200/160000] lr: 1.875e-05, eta: 5:30:27, time: 0.171, data_time: 0.007, memory: 52541, decode.loss_ce: 0.1931, decode.acc_seg: 92.1362, loss: 0.1931 +2023-03-04 05:17:40,195 - mmseg - INFO - Iter [68250/160000] lr: 1.875e-05, eta: 5:30:13, time: 0.165, data_time: 0.007, memory: 52541, decode.loss_ce: 0.1873, decode.acc_seg: 92.4323, loss: 0.1873 +2023-03-04 05:17:48,457 - mmseg - INFO - Iter [68300/160000] lr: 1.875e-05, eta: 5:29:58, time: 0.165, data_time: 0.007, memory: 52541, decode.loss_ce: 0.1903, decode.acc_seg: 92.1892, loss: 0.1903 +2023-03-04 05:17:57,024 - mmseg - INFO - Iter [68350/160000] lr: 1.875e-05, eta: 5:29:45, time: 0.171, data_time: 0.007, memory: 52541, decode.loss_ce: 0.1924, decode.acc_seg: 92.1896, loss: 0.1924 +2023-03-04 05:18:05,899 - mmseg - INFO - Iter [68400/160000] lr: 1.875e-05, eta: 5:29:31, time: 0.178, data_time: 0.007, memory: 52541, decode.loss_ce: 0.1929, decode.acc_seg: 91.9701, loss: 0.1929 +2023-03-04 05:18:14,187 - mmseg - INFO - Iter [68450/160000] lr: 1.875e-05, eta: 5:29:17, time: 0.166, data_time: 0.007, memory: 52541, decode.loss_ce: 0.1901, decode.acc_seg: 92.1555, loss: 0.1901 +2023-03-04 05:18:22,462 - mmseg - INFO - Iter [68500/160000] lr: 1.875e-05, eta: 5:29:03, time: 0.166, data_time: 0.007, memory: 52541, decode.loss_ce: 0.1893, decode.acc_seg: 92.2609, loss: 0.1893 +2023-03-04 05:18:30,922 - mmseg - INFO - Iter [68550/160000] lr: 1.875e-05, eta: 5:28:49, time: 0.169, data_time: 0.007, memory: 52541, decode.loss_ce: 0.1957, decode.acc_seg: 91.9485, loss: 0.1957 +2023-03-04 05:18:39,573 - mmseg - INFO - Iter [68600/160000] lr: 1.875e-05, eta: 5:28:35, time: 0.173, data_time: 0.007, memory: 52541, decode.loss_ce: 0.1862, decode.acc_seg: 92.2532, loss: 0.1862 +2023-03-04 05:18:48,264 - mmseg - INFO - Iter [68650/160000] lr: 1.875e-05, eta: 5:28:22, time: 0.174, data_time: 0.007, memory: 52541, decode.loss_ce: 0.1865, decode.acc_seg: 92.1157, loss: 0.1865 +2023-03-04 05:18:56,702 - mmseg - INFO - Iter [68700/160000] lr: 1.875e-05, eta: 5:28:08, time: 0.169, data_time: 0.007, memory: 52541, decode.loss_ce: 0.1870, decode.acc_seg: 92.3331, loss: 0.1870 +2023-03-04 05:19:05,121 - mmseg - INFO - Iter [68750/160000] lr: 1.875e-05, eta: 5:27:54, time: 0.168, data_time: 0.007, memory: 52541, decode.loss_ce: 0.1880, decode.acc_seg: 92.3196, loss: 0.1880 +2023-03-04 05:19:16,032 - mmseg - INFO - Iter [68800/160000] lr: 1.875e-05, eta: 5:27:43, time: 0.218, data_time: 0.053, memory: 52541, decode.loss_ce: 0.1854, decode.acc_seg: 92.3950, loss: 0.1854 +2023-03-04 05:19:24,499 - mmseg - INFO - Iter [68850/160000] lr: 1.875e-05, eta: 5:27:29, time: 0.169, data_time: 0.007, memory: 52541, decode.loss_ce: 0.1874, decode.acc_seg: 92.1601, loss: 0.1874 +2023-03-04 05:19:33,287 - mmseg - INFO - Iter [68900/160000] lr: 1.875e-05, eta: 5:27:16, time: 0.176, data_time: 0.007, memory: 52541, decode.loss_ce: 0.1941, decode.acc_seg: 92.0606, loss: 0.1941 +2023-03-04 05:19:41,917 - mmseg - INFO - Iter [68950/160000] lr: 1.875e-05, eta: 5:27:02, time: 0.173, data_time: 0.007, memory: 52541, decode.loss_ce: 0.1873, decode.acc_seg: 92.4098, loss: 0.1873 +2023-03-04 05:19:50,416 - mmseg - INFO - Exp name: ablation_segformer_mit_b2_segformer_head_unet_fc_small_multi_step_ade_pretrained_freeze_embed_160k_ade20k151_finetune_ema_winit.py +2023-03-04 05:19:50,416 - mmseg - INFO - Iter [69000/160000] lr: 1.875e-05, eta: 5:26:49, time: 0.170, data_time: 0.007, memory: 52541, decode.loss_ce: 0.1908, decode.acc_seg: 92.1406, loss: 0.1908 +2023-03-04 05:19:58,847 - mmseg - INFO - Iter [69050/160000] lr: 1.875e-05, eta: 5:26:35, time: 0.169, data_time: 0.007, memory: 52541, decode.loss_ce: 0.1909, decode.acc_seg: 92.1127, loss: 0.1909 +2023-03-04 05:20:07,422 - mmseg - INFO - Iter [69100/160000] lr: 1.875e-05, eta: 5:26:21, time: 0.171, data_time: 0.008, memory: 52541, decode.loss_ce: 0.1968, decode.acc_seg: 92.0102, loss: 0.1968 +2023-03-04 05:20:15,631 - mmseg - INFO - Iter [69150/160000] lr: 1.875e-05, eta: 5:26:07, time: 0.164, data_time: 0.007, memory: 52541, decode.loss_ce: 0.2011, decode.acc_seg: 91.8786, loss: 0.2011 +2023-03-04 05:20:24,392 - mmseg - INFO - Iter [69200/160000] lr: 1.875e-05, eta: 5:25:54, time: 0.175, data_time: 0.007, memory: 52541, decode.loss_ce: 0.1989, decode.acc_seg: 91.8688, loss: 0.1989 +2023-03-04 05:20:32,989 - mmseg - INFO - Iter [69250/160000] lr: 1.875e-05, eta: 5:25:40, time: 0.172, data_time: 0.007, memory: 52541, decode.loss_ce: 0.1939, decode.acc_seg: 91.9658, loss: 0.1939 +2023-03-04 05:20:41,555 - mmseg - INFO - Iter [69300/160000] lr: 1.875e-05, eta: 5:25:26, time: 0.172, data_time: 0.008, memory: 52541, decode.loss_ce: 0.1901, decode.acc_seg: 92.2385, loss: 0.1901 +2023-03-04 05:20:49,967 - mmseg - INFO - Iter [69350/160000] lr: 1.875e-05, eta: 5:25:13, time: 0.168, data_time: 0.007, memory: 52541, decode.loss_ce: 0.1954, decode.acc_seg: 92.1199, loss: 0.1954 +2023-03-04 05:20:58,447 - mmseg - INFO - Iter [69400/160000] lr: 1.875e-05, eta: 5:24:59, time: 0.169, data_time: 0.007, memory: 52541, decode.loss_ce: 0.1917, decode.acc_seg: 92.0764, loss: 0.1917 +2023-03-04 05:21:09,715 - mmseg - INFO - Iter [69450/160000] lr: 1.875e-05, eta: 5:24:49, time: 0.226, data_time: 0.055, memory: 52541, decode.loss_ce: 0.1932, decode.acc_seg: 92.0520, loss: 0.1932 +2023-03-04 05:21:18,230 - mmseg - INFO - Iter [69500/160000] lr: 1.875e-05, eta: 5:24:35, time: 0.170, data_time: 0.007, memory: 52541, decode.loss_ce: 0.1956, decode.acc_seg: 91.8092, loss: 0.1956 +2023-03-04 05:21:26,808 - mmseg - INFO - Iter [69550/160000] lr: 1.875e-05, eta: 5:24:21, time: 0.171, data_time: 0.007, memory: 52541, decode.loss_ce: 0.1830, decode.acc_seg: 92.4085, loss: 0.1830 +2023-03-04 05:21:35,458 - mmseg - INFO - Iter [69600/160000] lr: 1.875e-05, eta: 5:24:08, time: 0.173, data_time: 0.007, memory: 52541, decode.loss_ce: 0.1839, decode.acc_seg: 92.3531, loss: 0.1839 +2023-03-04 05:21:43,854 - mmseg - INFO - Iter [69650/160000] lr: 1.875e-05, eta: 5:23:54, time: 0.168, data_time: 0.007, memory: 52541, decode.loss_ce: 0.1863, decode.acc_seg: 92.3744, loss: 0.1863 +2023-03-04 05:21:52,234 - mmseg - INFO - Iter [69700/160000] lr: 1.875e-05, eta: 5:23:40, time: 0.168, data_time: 0.007, memory: 52541, decode.loss_ce: 0.1881, decode.acc_seg: 92.3288, loss: 0.1881 +2023-03-04 05:22:00,874 - mmseg - INFO - Iter [69750/160000] lr: 1.875e-05, eta: 5:23:27, time: 0.173, data_time: 0.007, memory: 52541, decode.loss_ce: 0.1854, decode.acc_seg: 92.4056, loss: 0.1854 +2023-03-04 05:22:09,174 - mmseg - INFO - Iter [69800/160000] lr: 1.875e-05, eta: 5:23:13, time: 0.166, data_time: 0.007, memory: 52541, decode.loss_ce: 0.1820, decode.acc_seg: 92.4810, loss: 0.1820 +2023-03-04 05:22:17,818 - mmseg - INFO - Iter [69850/160000] lr: 1.875e-05, eta: 5:22:59, time: 0.173, data_time: 0.008, memory: 52541, decode.loss_ce: 0.1966, decode.acc_seg: 91.8657, loss: 0.1966 +2023-03-04 05:22:26,251 - mmseg - INFO - Iter [69900/160000] lr: 1.875e-05, eta: 5:22:46, time: 0.169, data_time: 0.007, memory: 52541, decode.loss_ce: 0.1822, decode.acc_seg: 92.3406, loss: 0.1822 +2023-03-04 05:22:34,557 - mmseg - INFO - Iter [69950/160000] lr: 1.875e-05, eta: 5:22:32, time: 0.166, data_time: 0.007, memory: 52541, decode.loss_ce: 0.1858, decode.acc_seg: 92.2752, loss: 0.1858 +2023-03-04 05:22:42,965 - mmseg - INFO - Exp name: ablation_segformer_mit_b2_segformer_head_unet_fc_small_multi_step_ade_pretrained_freeze_embed_160k_ade20k151_finetune_ema_winit.py +2023-03-04 05:22:42,965 - mmseg - INFO - Iter [70000/160000] lr: 1.875e-05, eta: 5:22:18, time: 0.168, data_time: 0.007, memory: 52541, decode.loss_ce: 0.1936, decode.acc_seg: 92.0127, loss: 0.1936 +2023-03-04 05:22:54,057 - mmseg - INFO - Iter [70050/160000] lr: 1.875e-05, eta: 5:22:08, time: 0.222, data_time: 0.056, memory: 52541, decode.loss_ce: 0.1890, decode.acc_seg: 92.2136, loss: 0.1890 +2023-03-04 05:23:02,710 - mmseg - INFO - Iter [70100/160000] lr: 1.875e-05, eta: 5:21:54, time: 0.173, data_time: 0.007, memory: 52541, decode.loss_ce: 0.1889, decode.acc_seg: 92.2668, loss: 0.1889 +2023-03-04 05:23:11,226 - mmseg - INFO - Iter [70150/160000] lr: 1.875e-05, eta: 5:21:41, time: 0.170, data_time: 0.007, memory: 52541, decode.loss_ce: 0.1937, decode.acc_seg: 91.9747, loss: 0.1937 +2023-03-04 05:23:19,816 - mmseg - INFO - Iter [70200/160000] lr: 1.875e-05, eta: 5:21:27, time: 0.172, data_time: 0.007, memory: 52541, decode.loss_ce: 0.1828, decode.acc_seg: 92.4820, loss: 0.1828 +2023-03-04 05:23:28,291 - mmseg - INFO - Iter [70250/160000] lr: 1.875e-05, eta: 5:21:14, time: 0.170, data_time: 0.007, memory: 52541, decode.loss_ce: 0.1989, decode.acc_seg: 91.8649, loss: 0.1989 +2023-03-04 05:23:36,781 - mmseg - INFO - Iter [70300/160000] lr: 1.875e-05, eta: 5:21:00, time: 0.170, data_time: 0.007, memory: 52541, decode.loss_ce: 0.1892, decode.acc_seg: 91.9864, loss: 0.1892 +2023-03-04 05:23:45,384 - mmseg - INFO - Iter [70350/160000] lr: 1.875e-05, eta: 5:20:46, time: 0.172, data_time: 0.007, memory: 52541, decode.loss_ce: 0.1918, decode.acc_seg: 92.0577, loss: 0.1918 +2023-03-04 05:23:53,629 - mmseg - INFO - Iter [70400/160000] lr: 1.875e-05, eta: 5:20:33, time: 0.165, data_time: 0.008, memory: 52541, decode.loss_ce: 0.1941, decode.acc_seg: 92.2131, loss: 0.1941 +2023-03-04 05:24:02,303 - mmseg - INFO - Iter [70450/160000] lr: 1.875e-05, eta: 5:20:19, time: 0.173, data_time: 0.007, memory: 52541, decode.loss_ce: 0.1877, decode.acc_seg: 92.2481, loss: 0.1877 +2023-03-04 05:24:10,587 - mmseg - INFO - Iter [70500/160000] lr: 1.875e-05, eta: 5:20:05, time: 0.166, data_time: 0.007, memory: 52541, decode.loss_ce: 0.1827, decode.acc_seg: 92.4825, loss: 0.1827 +2023-03-04 05:24:18,872 - mmseg - INFO - Iter [70550/160000] lr: 1.875e-05, eta: 5:19:52, time: 0.166, data_time: 0.007, memory: 52541, decode.loss_ce: 0.1909, decode.acc_seg: 92.2482, loss: 0.1909 +2023-03-04 05:24:27,164 - mmseg - INFO - Iter [70600/160000] lr: 1.875e-05, eta: 5:19:38, time: 0.166, data_time: 0.007, memory: 52541, decode.loss_ce: 0.1903, decode.acc_seg: 92.0868, loss: 0.1903 +2023-03-04 05:24:35,608 - mmseg - INFO - Iter [70650/160000] lr: 1.875e-05, eta: 5:19:24, time: 0.169, data_time: 0.007, memory: 52541, decode.loss_ce: 0.1968, decode.acc_seg: 92.0573, loss: 0.1968 +2023-03-04 05:24:46,881 - mmseg - INFO - Iter [70700/160000] lr: 1.875e-05, eta: 5:19:14, time: 0.225, data_time: 0.059, memory: 52541, decode.loss_ce: 0.1874, decode.acc_seg: 92.2767, loss: 0.1874 +2023-03-04 05:24:55,356 - mmseg - INFO - Iter [70750/160000] lr: 1.875e-05, eta: 5:19:01, time: 0.169, data_time: 0.007, memory: 52541, decode.loss_ce: 0.1885, decode.acc_seg: 92.0585, loss: 0.1885 +2023-03-04 05:25:03,727 - mmseg - INFO - Iter [70800/160000] lr: 1.875e-05, eta: 5:18:47, time: 0.167, data_time: 0.007, memory: 52541, decode.loss_ce: 0.1867, decode.acc_seg: 92.4008, loss: 0.1867 +2023-03-04 05:25:12,227 - mmseg - INFO - Iter [70850/160000] lr: 1.875e-05, eta: 5:18:33, time: 0.170, data_time: 0.007, memory: 52541, decode.loss_ce: 0.1900, decode.acc_seg: 92.0351, loss: 0.1900 +2023-03-04 05:25:20,726 - mmseg - INFO - Iter [70900/160000] lr: 1.875e-05, eta: 5:18:20, time: 0.170, data_time: 0.007, memory: 52541, decode.loss_ce: 0.1848, decode.acc_seg: 92.3194, loss: 0.1848 +2023-03-04 05:25:29,005 - mmseg - INFO - Iter [70950/160000] lr: 1.875e-05, eta: 5:18:06, time: 0.166, data_time: 0.007, memory: 52541, decode.loss_ce: 0.1909, decode.acc_seg: 92.2682, loss: 0.1909 +2023-03-04 05:25:37,595 - mmseg - INFO - Exp name: ablation_segformer_mit_b2_segformer_head_unet_fc_small_multi_step_ade_pretrained_freeze_embed_160k_ade20k151_finetune_ema_winit.py +2023-03-04 05:25:37,595 - mmseg - INFO - Iter [71000/160000] lr: 1.875e-05, eta: 5:17:53, time: 0.172, data_time: 0.007, memory: 52541, decode.loss_ce: 0.1813, decode.acc_seg: 92.5314, loss: 0.1813 +2023-03-04 05:25:46,415 - mmseg - INFO - Iter [71050/160000] lr: 1.875e-05, eta: 5:17:40, time: 0.176, data_time: 0.007, memory: 52541, decode.loss_ce: 0.1917, decode.acc_seg: 92.1642, loss: 0.1917 +2023-03-04 05:25:55,256 - mmseg - INFO - Iter [71100/160000] lr: 1.875e-05, eta: 5:17:27, time: 0.177, data_time: 0.007, memory: 52541, decode.loss_ce: 0.1891, decode.acc_seg: 92.3529, loss: 0.1891 +2023-03-04 05:26:04,079 - mmseg - INFO - Iter [71150/160000] lr: 1.875e-05, eta: 5:17:13, time: 0.176, data_time: 0.007, memory: 52541, decode.loss_ce: 0.1934, decode.acc_seg: 92.2386, loss: 0.1934 +2023-03-04 05:26:12,588 - mmseg - INFO - Iter [71200/160000] lr: 1.875e-05, eta: 5:17:00, time: 0.170, data_time: 0.007, memory: 52541, decode.loss_ce: 0.1912, decode.acc_seg: 92.2422, loss: 0.1912 +2023-03-04 05:26:21,254 - mmseg - INFO - Iter [71250/160000] lr: 1.875e-05, eta: 5:16:47, time: 0.173, data_time: 0.008, memory: 52541, decode.loss_ce: 0.1925, decode.acc_seg: 92.1369, loss: 0.1925 +2023-03-04 05:26:29,778 - mmseg - INFO - Iter [71300/160000] lr: 1.875e-05, eta: 5:16:33, time: 0.170, data_time: 0.007, memory: 52541, decode.loss_ce: 0.1924, decode.acc_seg: 92.2524, loss: 0.1924 +2023-03-04 05:26:40,841 - mmseg - INFO - Iter [71350/160000] lr: 1.875e-05, eta: 5:16:23, time: 0.221, data_time: 0.055, memory: 52541, decode.loss_ce: 0.1863, decode.acc_seg: 92.2104, loss: 0.1863 +2023-03-04 05:26:49,318 - mmseg - INFO - Iter [71400/160000] lr: 1.875e-05, eta: 5:16:10, time: 0.170, data_time: 0.007, memory: 52541, decode.loss_ce: 0.1837, decode.acc_seg: 92.4387, loss: 0.1837 +2023-03-04 05:26:57,952 - mmseg - INFO - Iter [71450/160000] lr: 1.875e-05, eta: 5:15:56, time: 0.172, data_time: 0.008, memory: 52541, decode.loss_ce: 0.1890, decode.acc_seg: 92.2234, loss: 0.1890 +2023-03-04 05:27:06,529 - mmseg - INFO - Iter [71500/160000] lr: 1.875e-05, eta: 5:15:43, time: 0.172, data_time: 0.007, memory: 52541, decode.loss_ce: 0.1923, decode.acc_seg: 92.0523, loss: 0.1923 +2023-03-04 05:27:14,911 - mmseg - INFO - Iter [71550/160000] lr: 1.875e-05, eta: 5:15:29, time: 0.168, data_time: 0.007, memory: 52541, decode.loss_ce: 0.1914, decode.acc_seg: 92.2763, loss: 0.1914 +2023-03-04 05:27:23,773 - mmseg - INFO - Iter [71600/160000] lr: 1.875e-05, eta: 5:15:16, time: 0.177, data_time: 0.007, memory: 52541, decode.loss_ce: 0.1877, decode.acc_seg: 92.2318, loss: 0.1877 +2023-03-04 05:27:32,364 - mmseg - INFO - Iter [71650/160000] lr: 1.875e-05, eta: 5:15:03, time: 0.172, data_time: 0.007, memory: 52541, decode.loss_ce: 0.1990, decode.acc_seg: 91.8612, loss: 0.1990 +2023-03-04 05:27:40,930 - mmseg - INFO - Iter [71700/160000] lr: 1.875e-05, eta: 5:14:50, time: 0.171, data_time: 0.007, memory: 52541, decode.loss_ce: 0.1894, decode.acc_seg: 92.0717, loss: 0.1894 +2023-03-04 05:27:49,723 - mmseg - INFO - Iter [71750/160000] lr: 1.875e-05, eta: 5:14:37, time: 0.176, data_time: 0.007, memory: 52541, decode.loss_ce: 0.1890, decode.acc_seg: 92.0785, loss: 0.1890 +2023-03-04 05:27:58,396 - mmseg - INFO - Iter [71800/160000] lr: 1.875e-05, eta: 5:14:24, time: 0.174, data_time: 0.007, memory: 52541, decode.loss_ce: 0.1914, decode.acc_seg: 92.1404, loss: 0.1914 +2023-03-04 05:28:06,794 - mmseg - INFO - Iter [71850/160000] lr: 1.875e-05, eta: 5:14:10, time: 0.168, data_time: 0.007, memory: 52541, decode.loss_ce: 0.1886, decode.acc_seg: 92.2170, loss: 0.1886 +2023-03-04 05:28:15,191 - mmseg - INFO - Iter [71900/160000] lr: 1.875e-05, eta: 5:13:57, time: 0.168, data_time: 0.007, memory: 52541, decode.loss_ce: 0.1913, decode.acc_seg: 92.1411, loss: 0.1913 +2023-03-04 05:28:25,976 - mmseg - INFO - Iter [71950/160000] lr: 1.875e-05, eta: 5:13:46, time: 0.216, data_time: 0.055, memory: 52541, decode.loss_ce: 0.1834, decode.acc_seg: 92.4094, loss: 0.1834 +2023-03-04 05:28:34,489 - mmseg - INFO - Exp name: ablation_segformer_mit_b2_segformer_head_unet_fc_small_multi_step_ade_pretrained_freeze_embed_160k_ade20k151_finetune_ema_winit.py +2023-03-04 05:28:34,490 - mmseg - INFO - Iter [72000/160000] lr: 1.875e-05, eta: 5:13:33, time: 0.170, data_time: 0.007, memory: 52541, decode.loss_ce: 0.1908, decode.acc_seg: 92.1322, loss: 0.1908 +2023-03-04 05:28:42,840 - mmseg - INFO - Iter [72050/160000] lr: 1.875e-05, eta: 5:13:19, time: 0.167, data_time: 0.007, memory: 52541, decode.loss_ce: 0.1857, decode.acc_seg: 92.3868, loss: 0.1857 +2023-03-04 05:28:51,390 - mmseg - INFO - Iter [72100/160000] lr: 1.875e-05, eta: 5:13:06, time: 0.171, data_time: 0.007, memory: 52541, decode.loss_ce: 0.1830, decode.acc_seg: 92.3291, loss: 0.1830 +2023-03-04 05:28:59,735 - mmseg - INFO - Iter [72150/160000] lr: 1.875e-05, eta: 5:12:52, time: 0.167, data_time: 0.007, memory: 52541, decode.loss_ce: 0.1930, decode.acc_seg: 92.0068, loss: 0.1930 +2023-03-04 05:29:08,305 - mmseg - INFO - Iter [72200/160000] lr: 1.875e-05, eta: 5:12:39, time: 0.171, data_time: 0.007, memory: 52541, decode.loss_ce: 0.1889, decode.acc_seg: 92.4086, loss: 0.1889 +2023-03-04 05:29:16,732 - mmseg - INFO - Iter [72250/160000] lr: 1.875e-05, eta: 5:12:26, time: 0.169, data_time: 0.007, memory: 52541, decode.loss_ce: 0.1944, decode.acc_seg: 92.2268, loss: 0.1944 +2023-03-04 05:29:25,114 - mmseg - INFO - Iter [72300/160000] lr: 1.875e-05, eta: 5:12:12, time: 0.167, data_time: 0.007, memory: 52541, decode.loss_ce: 0.1846, decode.acc_seg: 92.3687, loss: 0.1846 +2023-03-04 05:29:33,975 - mmseg - INFO - Iter [72350/160000] lr: 1.875e-05, eta: 5:11:59, time: 0.177, data_time: 0.007, memory: 52541, decode.loss_ce: 0.1889, decode.acc_seg: 92.1797, loss: 0.1889 +2023-03-04 05:29:42,493 - mmseg - INFO - Iter [72400/160000] lr: 1.875e-05, eta: 5:11:46, time: 0.170, data_time: 0.006, memory: 52541, decode.loss_ce: 0.1838, decode.acc_seg: 92.3394, loss: 0.1838 +2023-03-04 05:29:51,169 - mmseg - INFO - Iter [72450/160000] lr: 1.875e-05, eta: 5:11:33, time: 0.174, data_time: 0.007, memory: 52541, decode.loss_ce: 0.1913, decode.acc_seg: 92.1069, loss: 0.1913 +2023-03-04 05:29:59,615 - mmseg - INFO - Iter [72500/160000] lr: 1.875e-05, eta: 5:11:19, time: 0.169, data_time: 0.007, memory: 52541, decode.loss_ce: 0.1904, decode.acc_seg: 92.1512, loss: 0.1904 +2023-03-04 05:30:07,995 - mmseg - INFO - Iter [72550/160000] lr: 1.875e-05, eta: 5:11:06, time: 0.168, data_time: 0.007, memory: 52541, decode.loss_ce: 0.1907, decode.acc_seg: 92.0761, loss: 0.1907 +2023-03-04 05:30:19,117 - mmseg - INFO - Iter [72600/160000] lr: 1.875e-05, eta: 5:10:56, time: 0.222, data_time: 0.054, memory: 52541, decode.loss_ce: 0.1904, decode.acc_seg: 92.2515, loss: 0.1904 +2023-03-04 05:30:27,718 - mmseg - INFO - Iter [72650/160000] lr: 1.875e-05, eta: 5:10:43, time: 0.172, data_time: 0.007, memory: 52541, decode.loss_ce: 0.1862, decode.acc_seg: 92.2824, loss: 0.1862 +2023-03-04 05:30:36,181 - mmseg - INFO - Iter [72700/160000] lr: 1.875e-05, eta: 5:10:29, time: 0.169, data_time: 0.007, memory: 52541, decode.loss_ce: 0.1875, decode.acc_seg: 92.3286, loss: 0.1875 +2023-03-04 05:30:44,928 - mmseg - INFO - Iter [72750/160000] lr: 1.875e-05, eta: 5:10:16, time: 0.175, data_time: 0.008, memory: 52541, decode.loss_ce: 0.1828, decode.acc_seg: 92.4602, loss: 0.1828 +2023-03-04 05:30:53,278 - mmseg - INFO - Iter [72800/160000] lr: 1.875e-05, eta: 5:10:03, time: 0.167, data_time: 0.007, memory: 52541, decode.loss_ce: 0.1883, decode.acc_seg: 92.2808, loss: 0.1883 +2023-03-04 05:31:01,813 - mmseg - INFO - Iter [72850/160000] lr: 1.875e-05, eta: 5:09:50, time: 0.171, data_time: 0.008, memory: 52541, decode.loss_ce: 0.1932, decode.acc_seg: 92.1143, loss: 0.1932 +2023-03-04 05:31:10,224 - mmseg - INFO - Iter [72900/160000] lr: 1.875e-05, eta: 5:09:36, time: 0.168, data_time: 0.007, memory: 52541, decode.loss_ce: 0.1852, decode.acc_seg: 92.3638, loss: 0.1852 +2023-03-04 05:31:18,848 - mmseg - INFO - Iter [72950/160000] lr: 1.875e-05, eta: 5:09:23, time: 0.173, data_time: 0.007, memory: 52541, decode.loss_ce: 0.1904, decode.acc_seg: 92.1738, loss: 0.1904 +2023-03-04 05:31:27,277 - mmseg - INFO - Exp name: ablation_segformer_mit_b2_segformer_head_unet_fc_small_multi_step_ade_pretrained_freeze_embed_160k_ade20k151_finetune_ema_winit.py +2023-03-04 05:31:27,277 - mmseg - INFO - Iter [73000/160000] lr: 1.875e-05, eta: 5:09:10, time: 0.168, data_time: 0.007, memory: 52541, decode.loss_ce: 0.1845, decode.acc_seg: 92.3886, loss: 0.1845 +2023-03-04 05:31:35,680 - mmseg - INFO - Iter [73050/160000] lr: 1.875e-05, eta: 5:08:57, time: 0.168, data_time: 0.007, memory: 52541, decode.loss_ce: 0.1872, decode.acc_seg: 92.1083, loss: 0.1872 +2023-03-04 05:31:44,011 - mmseg - INFO - Iter [73100/160000] lr: 1.875e-05, eta: 5:08:43, time: 0.167, data_time: 0.007, memory: 52541, decode.loss_ce: 0.1884, decode.acc_seg: 92.1663, loss: 0.1884 +2023-03-04 05:31:52,377 - mmseg - INFO - Iter [73150/160000] lr: 1.875e-05, eta: 5:08:30, time: 0.167, data_time: 0.007, memory: 52541, decode.loss_ce: 0.1921, decode.acc_seg: 91.9898, loss: 0.1921 +2023-03-04 05:32:03,513 - mmseg - INFO - Iter [73200/160000] lr: 1.875e-05, eta: 5:08:20, time: 0.223, data_time: 0.055, memory: 52541, decode.loss_ce: 0.1887, decode.acc_seg: 92.1456, loss: 0.1887 +2023-03-04 05:32:11,716 - mmseg - INFO - Iter [73250/160000] lr: 1.875e-05, eta: 5:08:06, time: 0.164, data_time: 0.007, memory: 52541, decode.loss_ce: 0.1840, decode.acc_seg: 92.2913, loss: 0.1840 +2023-03-04 05:32:20,468 - mmseg - INFO - Iter [73300/160000] lr: 1.875e-05, eta: 5:07:53, time: 0.175, data_time: 0.008, memory: 52541, decode.loss_ce: 0.1921, decode.acc_seg: 92.1241, loss: 0.1921 +2023-03-04 05:32:29,379 - mmseg - INFO - Iter [73350/160000] lr: 1.875e-05, eta: 5:07:41, time: 0.178, data_time: 0.007, memory: 52541, decode.loss_ce: 0.1875, decode.acc_seg: 92.1900, loss: 0.1875 +2023-03-04 05:32:37,741 - mmseg - INFO - Iter [73400/160000] lr: 1.875e-05, eta: 5:07:27, time: 0.167, data_time: 0.007, memory: 52541, decode.loss_ce: 0.1907, decode.acc_seg: 92.0283, loss: 0.1907 +2023-03-04 05:32:46,321 - mmseg - INFO - Iter [73450/160000] lr: 1.875e-05, eta: 5:07:14, time: 0.172, data_time: 0.007, memory: 52541, decode.loss_ce: 0.1895, decode.acc_seg: 92.1417, loss: 0.1895 +2023-03-04 05:32:54,850 - mmseg - INFO - Iter [73500/160000] lr: 1.875e-05, eta: 5:07:01, time: 0.171, data_time: 0.007, memory: 52541, decode.loss_ce: 0.1871, decode.acc_seg: 92.3053, loss: 0.1871 +2023-03-04 05:33:03,259 - mmseg - INFO - Iter [73550/160000] lr: 1.875e-05, eta: 5:06:48, time: 0.168, data_time: 0.007, memory: 52541, decode.loss_ce: 0.1938, decode.acc_seg: 92.0967, loss: 0.1938 +2023-03-04 05:33:11,727 - mmseg - INFO - Iter [73600/160000] lr: 1.875e-05, eta: 5:06:34, time: 0.170, data_time: 0.008, memory: 52541, decode.loss_ce: 0.1873, decode.acc_seg: 92.2108, loss: 0.1873 +2023-03-04 05:33:20,333 - mmseg - INFO - Iter [73650/160000] lr: 1.875e-05, eta: 5:06:21, time: 0.172, data_time: 0.007, memory: 52541, decode.loss_ce: 0.1862, decode.acc_seg: 92.3318, loss: 0.1862 +2023-03-04 05:33:28,705 - mmseg - INFO - Iter [73700/160000] lr: 1.875e-05, eta: 5:06:08, time: 0.167, data_time: 0.007, memory: 52541, decode.loss_ce: 0.1892, decode.acc_seg: 92.1923, loss: 0.1892 +2023-03-04 05:33:37,207 - mmseg - INFO - Iter [73750/160000] lr: 1.875e-05, eta: 5:05:55, time: 0.170, data_time: 0.007, memory: 52541, decode.loss_ce: 0.1887, decode.acc_seg: 92.1809, loss: 0.1887 +2023-03-04 05:33:45,566 - mmseg - INFO - Iter [73800/160000] lr: 1.875e-05, eta: 5:05:42, time: 0.167, data_time: 0.007, memory: 52541, decode.loss_ce: 0.1910, decode.acc_seg: 92.1425, loss: 0.1910 +2023-03-04 05:33:56,301 - mmseg - INFO - Iter [73850/160000] lr: 1.875e-05, eta: 5:05:31, time: 0.215, data_time: 0.055, memory: 52541, decode.loss_ce: 0.1953, decode.acc_seg: 92.1068, loss: 0.1953 +2023-03-04 05:34:04,972 - mmseg - INFO - Iter [73900/160000] lr: 1.875e-05, eta: 5:05:18, time: 0.173, data_time: 0.007, memory: 52541, decode.loss_ce: 0.1859, decode.acc_seg: 92.2801, loss: 0.1859 +2023-03-04 05:34:13,445 - mmseg - INFO - Iter [73950/160000] lr: 1.875e-05, eta: 5:05:05, time: 0.170, data_time: 0.008, memory: 52541, decode.loss_ce: 0.1911, decode.acc_seg: 92.0558, loss: 0.1911 +2023-03-04 05:34:21,985 - mmseg - INFO - Exp name: ablation_segformer_mit_b2_segformer_head_unet_fc_small_multi_step_ade_pretrained_freeze_embed_160k_ade20k151_finetune_ema_winit.py +2023-03-04 05:34:21,985 - mmseg - INFO - Iter [74000/160000] lr: 1.875e-05, eta: 5:04:52, time: 0.171, data_time: 0.007, memory: 52541, decode.loss_ce: 0.1927, decode.acc_seg: 92.1199, loss: 0.1927 +2023-03-04 05:34:30,443 - mmseg - INFO - Iter [74050/160000] lr: 1.875e-05, eta: 5:04:39, time: 0.169, data_time: 0.007, memory: 52541, decode.loss_ce: 0.1739, decode.acc_seg: 92.7188, loss: 0.1739 +2023-03-04 05:34:39,179 - mmseg - INFO - Iter [74100/160000] lr: 1.875e-05, eta: 5:04:26, time: 0.175, data_time: 0.007, memory: 52541, decode.loss_ce: 0.1906, decode.acc_seg: 92.3251, loss: 0.1906 +2023-03-04 05:34:47,511 - mmseg - INFO - Iter [74150/160000] lr: 1.875e-05, eta: 5:04:13, time: 0.167, data_time: 0.007, memory: 52541, decode.loss_ce: 0.1862, decode.acc_seg: 92.3061, loss: 0.1862 +2023-03-04 05:34:56,418 - mmseg - INFO - Iter [74200/160000] lr: 1.875e-05, eta: 5:04:00, time: 0.178, data_time: 0.008, memory: 52541, decode.loss_ce: 0.2002, decode.acc_seg: 91.8271, loss: 0.2002 +2023-03-04 05:35:05,169 - mmseg - INFO - Iter [74250/160000] lr: 1.875e-05, eta: 5:03:47, time: 0.175, data_time: 0.007, memory: 52541, decode.loss_ce: 0.1893, decode.acc_seg: 92.2293, loss: 0.1893 +2023-03-04 05:35:13,533 - mmseg - INFO - Iter [74300/160000] lr: 1.875e-05, eta: 5:03:34, time: 0.167, data_time: 0.007, memory: 52541, decode.loss_ce: 0.1885, decode.acc_seg: 92.3475, loss: 0.1885 +2023-03-04 05:35:21,914 - mmseg - INFO - Iter [74350/160000] lr: 1.875e-05, eta: 5:03:21, time: 0.167, data_time: 0.007, memory: 52541, decode.loss_ce: 0.1889, decode.acc_seg: 92.2061, loss: 0.1889 +2023-03-04 05:35:30,446 - mmseg - INFO - Iter [74400/160000] lr: 1.875e-05, eta: 5:03:08, time: 0.171, data_time: 0.007, memory: 52541, decode.loss_ce: 0.1945, decode.acc_seg: 92.0217, loss: 0.1945 +2023-03-04 05:35:38,824 - mmseg - INFO - Iter [74450/160000] lr: 1.875e-05, eta: 5:02:55, time: 0.168, data_time: 0.007, memory: 52541, decode.loss_ce: 0.1864, decode.acc_seg: 92.3791, loss: 0.1864 +2023-03-04 05:35:50,060 - mmseg - INFO - Iter [74500/160000] lr: 1.875e-05, eta: 5:02:45, time: 0.225, data_time: 0.055, memory: 52541, decode.loss_ce: 0.1935, decode.acc_seg: 92.1281, loss: 0.1935 +2023-03-04 05:35:58,430 - mmseg - INFO - Iter [74550/160000] lr: 1.875e-05, eta: 5:02:31, time: 0.167, data_time: 0.007, memory: 52541, decode.loss_ce: 0.1848, decode.acc_seg: 92.3965, loss: 0.1848 +2023-03-04 05:36:07,114 - mmseg - INFO - Iter [74600/160000] lr: 1.875e-05, eta: 5:02:19, time: 0.174, data_time: 0.007, memory: 52541, decode.loss_ce: 0.1892, decode.acc_seg: 92.2539, loss: 0.1892 +2023-03-04 05:36:15,817 - mmseg - INFO - Iter [74650/160000] lr: 1.875e-05, eta: 5:02:06, time: 0.174, data_time: 0.006, memory: 52541, decode.loss_ce: 0.1920, decode.acc_seg: 92.0403, loss: 0.1920 +2023-03-04 05:36:24,372 - mmseg - INFO - Iter [74700/160000] lr: 1.875e-05, eta: 5:01:53, time: 0.171, data_time: 0.007, memory: 52541, decode.loss_ce: 0.1894, decode.acc_seg: 92.2005, loss: 0.1894 +2023-03-04 05:36:33,321 - mmseg - INFO - Iter [74750/160000] lr: 1.875e-05, eta: 5:01:40, time: 0.179, data_time: 0.007, memory: 52541, decode.loss_ce: 0.1827, decode.acc_seg: 92.4137, loss: 0.1827 +2023-03-04 05:36:41,689 - mmseg - INFO - Iter [74800/160000] lr: 1.875e-05, eta: 5:01:27, time: 0.167, data_time: 0.007, memory: 52541, decode.loss_ce: 0.1901, decode.acc_seg: 92.1370, loss: 0.1901 +2023-03-04 05:36:50,554 - mmseg - INFO - Iter [74850/160000] lr: 1.875e-05, eta: 5:01:14, time: 0.177, data_time: 0.006, memory: 52541, decode.loss_ce: 0.1920, decode.acc_seg: 92.2242, loss: 0.1920 +2023-03-04 05:36:58,964 - mmseg - INFO - Iter [74900/160000] lr: 1.875e-05, eta: 5:01:01, time: 0.168, data_time: 0.007, memory: 52541, decode.loss_ce: 0.1972, decode.acc_seg: 91.9152, loss: 0.1972 +2023-03-04 05:37:08,132 - mmseg - INFO - Iter [74950/160000] lr: 1.875e-05, eta: 5:00:49, time: 0.183, data_time: 0.008, memory: 52541, decode.loss_ce: 0.1823, decode.acc_seg: 92.5358, loss: 0.1823 +2023-03-04 05:37:16,763 - mmseg - INFO - Exp name: ablation_segformer_mit_b2_segformer_head_unet_fc_small_multi_step_ade_pretrained_freeze_embed_160k_ade20k151_finetune_ema_winit.py +2023-03-04 05:37:16,763 - mmseg - INFO - Iter [75000/160000] lr: 1.875e-05, eta: 5:00:36, time: 0.173, data_time: 0.007, memory: 52541, decode.loss_ce: 0.1977, decode.acc_seg: 91.9967, loss: 0.1977 +2023-03-04 05:37:25,291 - mmseg - INFO - Iter [75050/160000] lr: 1.875e-05, eta: 5:00:23, time: 0.170, data_time: 0.007, memory: 52541, decode.loss_ce: 0.1846, decode.acc_seg: 92.3721, loss: 0.1846 +2023-03-04 05:37:36,120 - mmseg - INFO - Iter [75100/160000] lr: 1.875e-05, eta: 5:00:13, time: 0.217, data_time: 0.054, memory: 52541, decode.loss_ce: 0.1937, decode.acc_seg: 92.1315, loss: 0.1937 +2023-03-04 05:37:44,487 - mmseg - INFO - Iter [75150/160000] lr: 1.875e-05, eta: 5:00:00, time: 0.167, data_time: 0.007, memory: 52541, decode.loss_ce: 0.1898, decode.acc_seg: 92.0902, loss: 0.1898 +2023-03-04 05:37:53,320 - mmseg - INFO - Iter [75200/160000] lr: 1.875e-05, eta: 4:59:47, time: 0.177, data_time: 0.007, memory: 52541, decode.loss_ce: 0.1879, decode.acc_seg: 92.2772, loss: 0.1879 +2023-03-04 05:38:02,034 - mmseg - INFO - Iter [75250/160000] lr: 1.875e-05, eta: 4:59:34, time: 0.174, data_time: 0.007, memory: 52541, decode.loss_ce: 0.1948, decode.acc_seg: 91.9830, loss: 0.1948 +2023-03-04 05:38:10,470 - mmseg - INFO - Iter [75300/160000] lr: 1.875e-05, eta: 4:59:21, time: 0.168, data_time: 0.007, memory: 52541, decode.loss_ce: 0.1898, decode.acc_seg: 92.1013, loss: 0.1898 +2023-03-04 05:38:18,792 - mmseg - INFO - Iter [75350/160000] lr: 1.875e-05, eta: 4:59:08, time: 0.166, data_time: 0.008, memory: 52541, decode.loss_ce: 0.1836, decode.acc_seg: 92.4967, loss: 0.1836 +2023-03-04 05:38:27,485 - mmseg - INFO - Iter [75400/160000] lr: 1.875e-05, eta: 4:58:56, time: 0.174, data_time: 0.008, memory: 52541, decode.loss_ce: 0.1982, decode.acc_seg: 91.9525, loss: 0.1982 +2023-03-04 05:38:36,347 - mmseg - INFO - Iter [75450/160000] lr: 1.875e-05, eta: 4:58:43, time: 0.177, data_time: 0.007, memory: 52541, decode.loss_ce: 0.1892, decode.acc_seg: 92.3046, loss: 0.1892 +2023-03-04 05:38:45,217 - mmseg - INFO - Iter [75500/160000] lr: 1.875e-05, eta: 4:58:30, time: 0.177, data_time: 0.007, memory: 52541, decode.loss_ce: 0.1942, decode.acc_seg: 91.9563, loss: 0.1942 +2023-03-04 05:38:53,773 - mmseg - INFO - Iter [75550/160000] lr: 1.875e-05, eta: 4:58:18, time: 0.171, data_time: 0.007, memory: 52541, decode.loss_ce: 0.1904, decode.acc_seg: 92.1893, loss: 0.1904 +2023-03-04 05:39:02,458 - mmseg - INFO - Iter [75600/160000] lr: 1.875e-05, eta: 4:58:05, time: 0.174, data_time: 0.007, memory: 52541, decode.loss_ce: 0.1883, decode.acc_seg: 92.3359, loss: 0.1883 +2023-03-04 05:39:11,100 - mmseg - INFO - Iter [75650/160000] lr: 1.875e-05, eta: 4:57:52, time: 0.173, data_time: 0.007, memory: 52541, decode.loss_ce: 0.1840, decode.acc_seg: 92.4187, loss: 0.1840 +2023-03-04 05:39:19,609 - mmseg - INFO - Iter [75700/160000] lr: 1.875e-05, eta: 4:57:39, time: 0.170, data_time: 0.007, memory: 52541, decode.loss_ce: 0.1862, decode.acc_seg: 92.2473, loss: 0.1862 +2023-03-04 05:39:30,676 - mmseg - INFO - Iter [75750/160000] lr: 1.875e-05, eta: 4:57:29, time: 0.221, data_time: 0.054, memory: 52541, decode.loss_ce: 0.1945, decode.acc_seg: 91.9417, loss: 0.1945 +2023-03-04 05:39:39,070 - mmseg - INFO - Iter [75800/160000] lr: 1.875e-05, eta: 4:57:16, time: 0.168, data_time: 0.007, memory: 52541, decode.loss_ce: 0.1904, decode.acc_seg: 92.1997, loss: 0.1904 +2023-03-04 05:39:47,495 - mmseg - INFO - Iter [75850/160000] lr: 1.875e-05, eta: 4:57:03, time: 0.168, data_time: 0.007, memory: 52541, decode.loss_ce: 0.1895, decode.acc_seg: 92.1954, loss: 0.1895 +2023-03-04 05:39:56,185 - mmseg - INFO - Iter [75900/160000] lr: 1.875e-05, eta: 4:56:50, time: 0.174, data_time: 0.007, memory: 52541, decode.loss_ce: 0.1997, decode.acc_seg: 91.7752, loss: 0.1997 +2023-03-04 05:40:04,598 - mmseg - INFO - Iter [75950/160000] lr: 1.875e-05, eta: 4:56:37, time: 0.168, data_time: 0.007, memory: 52541, decode.loss_ce: 0.1915, decode.acc_seg: 92.0833, loss: 0.1915 +2023-03-04 05:40:13,416 - mmseg - INFO - Exp name: ablation_segformer_mit_b2_segformer_head_unet_fc_small_multi_step_ade_pretrained_freeze_embed_160k_ade20k151_finetune_ema_winit.py +2023-03-04 05:40:13,417 - mmseg - INFO - Iter [76000/160000] lr: 1.875e-05, eta: 4:56:25, time: 0.176, data_time: 0.007, memory: 52541, decode.loss_ce: 0.1941, decode.acc_seg: 92.0353, loss: 0.1941 +2023-03-04 05:40:22,028 - mmseg - INFO - Iter [76050/160000] lr: 1.875e-05, eta: 4:56:12, time: 0.172, data_time: 0.007, memory: 52541, decode.loss_ce: 0.1858, decode.acc_seg: 92.3432, loss: 0.1858 +2023-03-04 05:40:30,438 - mmseg - INFO - Iter [76100/160000] lr: 1.875e-05, eta: 4:55:59, time: 0.168, data_time: 0.007, memory: 52541, decode.loss_ce: 0.1794, decode.acc_seg: 92.6072, loss: 0.1794 +2023-03-04 05:40:38,954 - mmseg - INFO - Iter [76150/160000] lr: 1.875e-05, eta: 4:55:46, time: 0.170, data_time: 0.007, memory: 52541, decode.loss_ce: 0.1844, decode.acc_seg: 92.3317, loss: 0.1844 +2023-03-04 05:40:47,358 - mmseg - INFO - Iter [76200/160000] lr: 1.875e-05, eta: 4:55:33, time: 0.168, data_time: 0.007, memory: 52541, decode.loss_ce: 0.1919, decode.acc_seg: 92.1620, loss: 0.1919 +2023-03-04 05:40:55,582 - mmseg - INFO - Iter [76250/160000] lr: 1.875e-05, eta: 4:55:20, time: 0.164, data_time: 0.007, memory: 52541, decode.loss_ce: 0.1863, decode.acc_seg: 92.3355, loss: 0.1863 +2023-03-04 05:41:04,523 - mmseg - INFO - Iter [76300/160000] lr: 1.875e-05, eta: 4:55:08, time: 0.179, data_time: 0.007, memory: 52541, decode.loss_ce: 0.1839, decode.acc_seg: 92.3936, loss: 0.1839 +2023-03-04 05:41:12,923 - mmseg - INFO - Iter [76350/160000] lr: 1.875e-05, eta: 4:54:55, time: 0.168, data_time: 0.007, memory: 52541, decode.loss_ce: 0.1959, decode.acc_seg: 92.0579, loss: 0.1959 +2023-03-04 05:41:24,126 - mmseg - INFO - Iter [76400/160000] lr: 1.875e-05, eta: 4:54:45, time: 0.224, data_time: 0.053, memory: 52541, decode.loss_ce: 0.1850, decode.acc_seg: 92.3706, loss: 0.1850 +2023-03-04 05:41:32,629 - mmseg - INFO - Iter [76450/160000] lr: 1.875e-05, eta: 4:54:32, time: 0.170, data_time: 0.007, memory: 52541, decode.loss_ce: 0.1939, decode.acc_seg: 92.1864, loss: 0.1939 +2023-03-04 05:41:41,198 - mmseg - INFO - Iter [76500/160000] lr: 1.875e-05, eta: 4:54:19, time: 0.171, data_time: 0.007, memory: 52541, decode.loss_ce: 0.1927, decode.acc_seg: 92.1786, loss: 0.1927 +2023-03-04 05:41:49,760 - mmseg - INFO - Iter [76550/160000] lr: 1.875e-05, eta: 4:54:06, time: 0.171, data_time: 0.007, memory: 52541, decode.loss_ce: 0.1817, decode.acc_seg: 92.5031, loss: 0.1817 +2023-03-04 05:41:58,328 - mmseg - INFO - Iter [76600/160000] lr: 1.875e-05, eta: 4:53:54, time: 0.171, data_time: 0.007, memory: 52541, decode.loss_ce: 0.1883, decode.acc_seg: 92.2552, loss: 0.1883 +2023-03-04 05:42:06,863 - mmseg - INFO - Iter [76650/160000] lr: 1.875e-05, eta: 4:53:41, time: 0.171, data_time: 0.008, memory: 52541, decode.loss_ce: 0.1896, decode.acc_seg: 92.1429, loss: 0.1896 +2023-03-04 05:42:15,236 - mmseg - INFO - Iter [76700/160000] lr: 1.875e-05, eta: 4:53:28, time: 0.167, data_time: 0.007, memory: 52541, decode.loss_ce: 0.1811, decode.acc_seg: 92.4237, loss: 0.1811 +2023-03-04 05:42:23,681 - mmseg - INFO - Iter [76750/160000] lr: 1.875e-05, eta: 4:53:15, time: 0.169, data_time: 0.007, memory: 52541, decode.loss_ce: 0.1944, decode.acc_seg: 92.1585, loss: 0.1944 +2023-03-04 05:42:31,919 - mmseg - INFO - Iter [76800/160000] lr: 1.875e-05, eta: 4:53:02, time: 0.165, data_time: 0.007, memory: 52541, decode.loss_ce: 0.1936, decode.acc_seg: 92.1166, loss: 0.1936 +2023-03-04 05:42:40,372 - mmseg - INFO - Iter [76850/160000] lr: 1.875e-05, eta: 4:52:49, time: 0.169, data_time: 0.007, memory: 52541, decode.loss_ce: 0.1877, decode.acc_seg: 92.1657, loss: 0.1877 +2023-03-04 05:42:49,043 - mmseg - INFO - Iter [76900/160000] lr: 1.875e-05, eta: 4:52:36, time: 0.173, data_time: 0.007, memory: 52541, decode.loss_ce: 0.1959, decode.acc_seg: 92.0326, loss: 0.1959 +2023-03-04 05:42:57,616 - mmseg - INFO - Iter [76950/160000] lr: 1.875e-05, eta: 4:52:24, time: 0.171, data_time: 0.007, memory: 52541, decode.loss_ce: 0.1820, decode.acc_seg: 92.3067, loss: 0.1820 +2023-03-04 05:43:08,578 - mmseg - INFO - Exp name: ablation_segformer_mit_b2_segformer_head_unet_fc_small_multi_step_ade_pretrained_freeze_embed_160k_ade20k151_finetune_ema_winit.py +2023-03-04 05:43:08,578 - mmseg - INFO - Iter [77000/160000] lr: 1.875e-05, eta: 4:52:14, time: 0.219, data_time: 0.054, memory: 52541, decode.loss_ce: 0.1863, decode.acc_seg: 92.3273, loss: 0.1863 +2023-03-04 05:43:17,040 - mmseg - INFO - Iter [77050/160000] lr: 1.875e-05, eta: 4:52:01, time: 0.169, data_time: 0.007, memory: 52541, decode.loss_ce: 0.1939, decode.acc_seg: 92.0313, loss: 0.1939 +2023-03-04 05:43:25,803 - mmseg - INFO - Iter [77100/160000] lr: 1.875e-05, eta: 4:51:48, time: 0.175, data_time: 0.007, memory: 52541, decode.loss_ce: 0.1809, decode.acc_seg: 92.5219, loss: 0.1809 +2023-03-04 05:43:34,421 - mmseg - INFO - Iter [77150/160000] lr: 1.875e-05, eta: 4:51:36, time: 0.172, data_time: 0.007, memory: 52541, decode.loss_ce: 0.1833, decode.acc_seg: 92.3789, loss: 0.1833 +2023-03-04 05:43:42,854 - mmseg - INFO - Iter [77200/160000] lr: 1.875e-05, eta: 4:51:23, time: 0.169, data_time: 0.007, memory: 52541, decode.loss_ce: 0.1903, decode.acc_seg: 92.3006, loss: 0.1903 +2023-03-04 05:43:51,605 - mmseg - INFO - Iter [77250/160000] lr: 1.875e-05, eta: 4:51:10, time: 0.175, data_time: 0.007, memory: 52541, decode.loss_ce: 0.1813, decode.acc_seg: 92.4990, loss: 0.1813 +2023-03-04 05:44:00,301 - mmseg - INFO - Iter [77300/160000] lr: 1.875e-05, eta: 4:50:58, time: 0.174, data_time: 0.007, memory: 52541, decode.loss_ce: 0.1977, decode.acc_seg: 91.8232, loss: 0.1977 +2023-03-04 05:44:08,875 - mmseg - INFO - Iter [77350/160000] lr: 1.875e-05, eta: 4:50:45, time: 0.172, data_time: 0.007, memory: 52541, decode.loss_ce: 0.1914, decode.acc_seg: 92.1586, loss: 0.1914 +2023-03-04 05:44:17,201 - mmseg - INFO - Iter [77400/160000] lr: 1.875e-05, eta: 4:50:32, time: 0.167, data_time: 0.007, memory: 52541, decode.loss_ce: 0.1967, decode.acc_seg: 91.9534, loss: 0.1967 +2023-03-04 05:44:25,555 - mmseg - INFO - Iter [77450/160000] lr: 1.875e-05, eta: 4:50:19, time: 0.167, data_time: 0.007, memory: 52541, decode.loss_ce: 0.1954, decode.acc_seg: 92.1026, loss: 0.1954 +2023-03-04 05:44:33,977 - mmseg - INFO - Iter [77500/160000] lr: 1.875e-05, eta: 4:50:06, time: 0.168, data_time: 0.007, memory: 52541, decode.loss_ce: 0.1937, decode.acc_seg: 91.9133, loss: 0.1937 +2023-03-04 05:44:42,346 - mmseg - INFO - Iter [77550/160000] lr: 1.875e-05, eta: 4:49:54, time: 0.167, data_time: 0.007, memory: 52541, decode.loss_ce: 0.1876, decode.acc_seg: 92.2277, loss: 0.1876 +2023-03-04 05:44:51,151 - mmseg - INFO - Iter [77600/160000] lr: 1.875e-05, eta: 4:49:41, time: 0.176, data_time: 0.007, memory: 52541, decode.loss_ce: 0.1913, decode.acc_seg: 92.0705, loss: 0.1913 +2023-03-04 05:45:02,258 - mmseg - INFO - Iter [77650/160000] lr: 1.875e-05, eta: 4:49:31, time: 0.222, data_time: 0.054, memory: 52541, decode.loss_ce: 0.1907, decode.acc_seg: 92.2898, loss: 0.1907 +2023-03-04 05:45:10,664 - mmseg - INFO - Iter [77700/160000] lr: 1.875e-05, eta: 4:49:18, time: 0.168, data_time: 0.007, memory: 52541, decode.loss_ce: 0.1906, decode.acc_seg: 92.1298, loss: 0.1906 +2023-03-04 05:45:19,046 - mmseg - INFO - Iter [77750/160000] lr: 1.875e-05, eta: 4:49:06, time: 0.168, data_time: 0.007, memory: 52541, decode.loss_ce: 0.1879, decode.acc_seg: 92.3396, loss: 0.1879 +2023-03-04 05:45:27,553 - mmseg - INFO - Iter [77800/160000] lr: 1.875e-05, eta: 4:48:53, time: 0.170, data_time: 0.007, memory: 52541, decode.loss_ce: 0.1899, decode.acc_seg: 92.1012, loss: 0.1899 +2023-03-04 05:45:36,023 - mmseg - INFO - Iter [77850/160000] lr: 1.875e-05, eta: 4:48:40, time: 0.170, data_time: 0.007, memory: 52541, decode.loss_ce: 0.1846, decode.acc_seg: 92.2110, loss: 0.1846 +2023-03-04 05:45:44,531 - mmseg - INFO - Iter [77900/160000] lr: 1.875e-05, eta: 4:48:27, time: 0.170, data_time: 0.007, memory: 52541, decode.loss_ce: 0.1941, decode.acc_seg: 91.9842, loss: 0.1941 +2023-03-04 05:45:53,233 - mmseg - INFO - Iter [77950/160000] lr: 1.875e-05, eta: 4:48:15, time: 0.174, data_time: 0.007, memory: 52541, decode.loss_ce: 0.1874, decode.acc_seg: 92.3572, loss: 0.1874 +2023-03-04 05:46:01,720 - mmseg - INFO - Exp name: ablation_segformer_mit_b2_segformer_head_unet_fc_small_multi_step_ade_pretrained_freeze_embed_160k_ade20k151_finetune_ema_winit.py +2023-03-04 05:46:01,720 - mmseg - INFO - Iter [78000/160000] lr: 1.875e-05, eta: 4:48:02, time: 0.170, data_time: 0.008, memory: 52541, decode.loss_ce: 0.1952, decode.acc_seg: 91.8942, loss: 0.1952 +2023-03-04 05:46:10,184 - mmseg - INFO - Iter [78050/160000] lr: 1.875e-05, eta: 4:47:50, time: 0.169, data_time: 0.007, memory: 52541, decode.loss_ce: 0.1837, decode.acc_seg: 92.3642, loss: 0.1837 +2023-03-04 05:46:18,455 - mmseg - INFO - Iter [78100/160000] lr: 1.875e-05, eta: 4:47:37, time: 0.166, data_time: 0.007, memory: 52541, decode.loss_ce: 0.1798, decode.acc_seg: 92.4415, loss: 0.1798 +2023-03-04 05:46:26,688 - mmseg - INFO - Iter [78150/160000] lr: 1.875e-05, eta: 4:47:24, time: 0.165, data_time: 0.007, memory: 52541, decode.loss_ce: 0.1885, decode.acc_seg: 92.2205, loss: 0.1885 +2023-03-04 05:46:35,271 - mmseg - INFO - Iter [78200/160000] lr: 1.875e-05, eta: 4:47:11, time: 0.171, data_time: 0.007, memory: 52541, decode.loss_ce: 0.1852, decode.acc_seg: 92.3034, loss: 0.1852 +2023-03-04 05:46:46,396 - mmseg - INFO - Iter [78250/160000] lr: 1.875e-05, eta: 4:47:01, time: 0.223, data_time: 0.055, memory: 52541, decode.loss_ce: 0.1993, decode.acc_seg: 92.0459, loss: 0.1993 +2023-03-04 05:46:55,315 - mmseg - INFO - Iter [78300/160000] lr: 1.875e-05, eta: 4:46:49, time: 0.178, data_time: 0.007, memory: 52541, decode.loss_ce: 0.1911, decode.acc_seg: 92.0654, loss: 0.1911 +2023-03-04 05:47:03,573 - mmseg - INFO - Iter [78350/160000] lr: 1.875e-05, eta: 4:46:36, time: 0.165, data_time: 0.007, memory: 52541, decode.loss_ce: 0.1878, decode.acc_seg: 92.1700, loss: 0.1878 +2023-03-04 05:47:12,037 - mmseg - INFO - Iter [78400/160000] lr: 1.875e-05, eta: 4:46:23, time: 0.169, data_time: 0.007, memory: 52541, decode.loss_ce: 0.1819, decode.acc_seg: 92.5062, loss: 0.1819 +2023-03-04 05:47:20,557 - mmseg - INFO - Iter [78450/160000] lr: 1.875e-05, eta: 4:46:11, time: 0.170, data_time: 0.007, memory: 52541, decode.loss_ce: 0.1779, decode.acc_seg: 92.5293, loss: 0.1779 +2023-03-04 05:47:29,128 - mmseg - INFO - Iter [78500/160000] lr: 1.875e-05, eta: 4:45:58, time: 0.171, data_time: 0.008, memory: 52541, decode.loss_ce: 0.1866, decode.acc_seg: 92.3317, loss: 0.1866 +2023-03-04 05:47:37,894 - mmseg - INFO - Iter [78550/160000] lr: 1.875e-05, eta: 4:45:46, time: 0.175, data_time: 0.007, memory: 52541, decode.loss_ce: 0.1955, decode.acc_seg: 91.9560, loss: 0.1955 +2023-03-04 05:47:46,470 - mmseg - INFO - Iter [78600/160000] lr: 1.875e-05, eta: 4:45:33, time: 0.172, data_time: 0.007, memory: 52541, decode.loss_ce: 0.1904, decode.acc_seg: 92.1872, loss: 0.1904 +2023-03-04 05:47:55,080 - mmseg - INFO - Iter [78650/160000] lr: 1.875e-05, eta: 4:45:21, time: 0.172, data_time: 0.007, memory: 52541, decode.loss_ce: 0.1826, decode.acc_seg: 92.4536, loss: 0.1826 +2023-03-04 05:48:04,134 - mmseg - INFO - Iter [78700/160000] lr: 1.875e-05, eta: 4:45:09, time: 0.181, data_time: 0.008, memory: 52541, decode.loss_ce: 0.1857, decode.acc_seg: 92.4286, loss: 0.1857 +2023-03-04 05:48:12,487 - mmseg - INFO - Iter [78750/160000] lr: 1.875e-05, eta: 4:44:56, time: 0.167, data_time: 0.007, memory: 52541, decode.loss_ce: 0.1975, decode.acc_seg: 91.8080, loss: 0.1975 +2023-03-04 05:48:20,825 - mmseg - INFO - Iter [78800/160000] lr: 1.875e-05, eta: 4:44:43, time: 0.167, data_time: 0.007, memory: 52541, decode.loss_ce: 0.1832, decode.acc_seg: 92.4414, loss: 0.1832 +2023-03-04 05:48:29,586 - mmseg - INFO - Iter [78850/160000] lr: 1.875e-05, eta: 4:44:31, time: 0.175, data_time: 0.007, memory: 52541, decode.loss_ce: 0.1850, decode.acc_seg: 92.3277, loss: 0.1850 +2023-03-04 05:48:40,344 - mmseg - INFO - Iter [78900/160000] lr: 1.875e-05, eta: 4:44:21, time: 0.215, data_time: 0.055, memory: 52541, decode.loss_ce: 0.1900, decode.acc_seg: 92.2260, loss: 0.1900 +2023-03-04 05:48:48,945 - mmseg - INFO - Iter [78950/160000] lr: 1.875e-05, eta: 4:44:08, time: 0.172, data_time: 0.007, memory: 52541, decode.loss_ce: 0.1848, decode.acc_seg: 92.3405, loss: 0.1848 +2023-03-04 05:48:57,493 - mmseg - INFO - Exp name: ablation_segformer_mit_b2_segformer_head_unet_fc_small_multi_step_ade_pretrained_freeze_embed_160k_ade20k151_finetune_ema_winit.py +2023-03-04 05:48:57,493 - mmseg - INFO - Iter [79000/160000] lr: 1.875e-05, eta: 4:43:56, time: 0.171, data_time: 0.007, memory: 52541, decode.loss_ce: 0.1851, decode.acc_seg: 92.2144, loss: 0.1851 +2023-03-04 05:49:06,165 - mmseg - INFO - Iter [79050/160000] lr: 1.875e-05, eta: 4:43:43, time: 0.173, data_time: 0.008, memory: 52541, decode.loss_ce: 0.1959, decode.acc_seg: 91.9808, loss: 0.1959 +2023-03-04 05:49:14,657 - mmseg - INFO - Iter [79100/160000] lr: 1.875e-05, eta: 4:43:31, time: 0.170, data_time: 0.007, memory: 52541, decode.loss_ce: 0.1846, decode.acc_seg: 92.2717, loss: 0.1846 +2023-03-04 05:49:22,956 - mmseg - INFO - Iter [79150/160000] lr: 1.875e-05, eta: 4:43:18, time: 0.166, data_time: 0.007, memory: 52541, decode.loss_ce: 0.1879, decode.acc_seg: 92.2762, loss: 0.1879 +2023-03-04 05:49:31,926 - mmseg - INFO - Iter [79200/160000] lr: 1.875e-05, eta: 4:43:06, time: 0.179, data_time: 0.007, memory: 52541, decode.loss_ce: 0.1847, decode.acc_seg: 92.4220, loss: 0.1847 +2023-03-04 05:49:40,551 - mmseg - INFO - Iter [79250/160000] lr: 1.875e-05, eta: 4:42:53, time: 0.172, data_time: 0.007, memory: 52541, decode.loss_ce: 0.1930, decode.acc_seg: 92.2609, loss: 0.1930 +2023-03-04 05:49:49,159 - mmseg - INFO - Iter [79300/160000] lr: 1.875e-05, eta: 4:42:41, time: 0.172, data_time: 0.007, memory: 52541, decode.loss_ce: 0.1883, decode.acc_seg: 92.2818, loss: 0.1883 +2023-03-04 05:49:57,570 - mmseg - INFO - Iter [79350/160000] lr: 1.875e-05, eta: 4:42:28, time: 0.169, data_time: 0.007, memory: 52541, decode.loss_ce: 0.1900, decode.acc_seg: 92.1713, loss: 0.1900 +2023-03-04 05:50:06,200 - mmseg - INFO - Iter [79400/160000] lr: 1.875e-05, eta: 4:42:16, time: 0.173, data_time: 0.007, memory: 52541, decode.loss_ce: 0.1943, decode.acc_seg: 91.9464, loss: 0.1943 +2023-03-04 05:50:14,841 - mmseg - INFO - Iter [79450/160000] lr: 1.875e-05, eta: 4:42:03, time: 0.173, data_time: 0.007, memory: 52541, decode.loss_ce: 0.1944, decode.acc_seg: 92.0396, loss: 0.1944 +2023-03-04 05:50:23,210 - mmseg - INFO - Iter [79500/160000] lr: 1.875e-05, eta: 4:41:51, time: 0.167, data_time: 0.007, memory: 52541, decode.loss_ce: 0.1888, decode.acc_seg: 92.3159, loss: 0.1888 +2023-03-04 05:50:34,383 - mmseg - INFO - Iter [79550/160000] lr: 1.875e-05, eta: 4:41:41, time: 0.223, data_time: 0.053, memory: 52541, decode.loss_ce: 0.1927, decode.acc_seg: 91.9140, loss: 0.1927 +2023-03-04 05:50:43,028 - mmseg - INFO - Iter [79600/160000] lr: 1.875e-05, eta: 4:41:29, time: 0.173, data_time: 0.007, memory: 52541, decode.loss_ce: 0.1902, decode.acc_seg: 92.1715, loss: 0.1902 +2023-03-04 05:50:51,281 - mmseg - INFO - Iter [79650/160000] lr: 1.875e-05, eta: 4:41:16, time: 0.165, data_time: 0.007, memory: 52541, decode.loss_ce: 0.1881, decode.acc_seg: 92.2917, loss: 0.1881 +2023-03-04 05:50:59,564 - mmseg - INFO - Iter [79700/160000] lr: 1.875e-05, eta: 4:41:03, time: 0.166, data_time: 0.007, memory: 52541, decode.loss_ce: 0.1892, decode.acc_seg: 92.1392, loss: 0.1892 +2023-03-04 05:51:07,857 - mmseg - INFO - Iter [79750/160000] lr: 1.875e-05, eta: 4:40:50, time: 0.166, data_time: 0.007, memory: 52541, decode.loss_ce: 0.1910, decode.acc_seg: 92.0852, loss: 0.1910 +2023-03-04 05:51:16,168 - mmseg - INFO - Iter [79800/160000] lr: 1.875e-05, eta: 4:40:38, time: 0.166, data_time: 0.008, memory: 52541, decode.loss_ce: 0.1955, decode.acc_seg: 92.0607, loss: 0.1955 +2023-03-04 05:51:25,056 - mmseg - INFO - Iter [79850/160000] lr: 1.875e-05, eta: 4:40:26, time: 0.178, data_time: 0.007, memory: 52541, decode.loss_ce: 0.1893, decode.acc_seg: 92.2294, loss: 0.1893 +2023-03-04 05:51:33,415 - mmseg - INFO - Iter [79900/160000] lr: 1.875e-05, eta: 4:40:13, time: 0.167, data_time: 0.007, memory: 52541, decode.loss_ce: 0.1918, decode.acc_seg: 92.1972, loss: 0.1918 +2023-03-04 05:51:42,193 - mmseg - INFO - Iter [79950/160000] lr: 1.875e-05, eta: 4:40:01, time: 0.176, data_time: 0.007, memory: 52541, decode.loss_ce: 0.1913, decode.acc_seg: 92.1481, loss: 0.1913 +2023-03-04 05:51:50,385 - mmseg - INFO - Swap parameters (after train) after iter [80000] +2023-03-04 05:51:50,398 - mmseg - INFO - Saving checkpoint at 80000 iterations +2023-03-04 05:51:51,425 - mmseg - INFO - Exp name: ablation_segformer_mit_b2_segformer_head_unet_fc_small_multi_step_ade_pretrained_freeze_embed_160k_ade20k151_finetune_ema_winit.py +2023-03-04 05:51:51,425 - mmseg - INFO - Iter [80000/160000] lr: 1.875e-05, eta: 4:39:49, time: 0.185, data_time: 0.007, memory: 52541, decode.loss_ce: 0.1894, decode.acc_seg: 92.2345, loss: 0.1894 +2023-03-04 06:02:53,297 - mmseg - INFO - per class results: +2023-03-04 06:02:53,306 - mmseg - INFO - ++---------------------+-------------------------------------------------------------------+ +| Class | IoU 0,10,20,30,40,50,60,70,80,90,99 | ++---------------------+-------------------------------------------------------------------+ +| background | nan,nan,nan,nan,nan,nan,nan,nan,nan,nan,nan | +| wall | 77.45,77.47,77.48,77.49,77.48,77.49,77.49,77.5,77.51,77.51,77.52 | +| building | 81.62,81.63,81.62,81.62,81.61,81.62,81.62,81.61,81.61,81.61,81.61 | +| sky | 94.42,94.42,94.42,94.43,94.42,94.42,94.42,94.42,94.43,94.42,94.42 | +| floor | 81.7,81.71,81.7,81.71,81.7,81.69,81.7,81.69,81.69,81.7,81.69 | +| tree | 74.2,74.19,74.19,74.19,74.18,74.19,74.18,74.18,74.17,74.17,74.17 | +| ceiling | 85.31,85.33,85.33,85.34,85.36,85.38,85.39,85.39,85.4,85.41,85.42 | +| road | 82.08,82.08,82.08,82.07,82.07,82.06,82.06,82.06,82.05,82.05,82.06 | +| bed | 87.81,87.83,87.85,87.85,87.83,87.84,87.85,87.85,87.87,87.84,87.84 | +| windowpane | 60.72,60.69,60.68,60.69,60.67,60.69,60.68,60.69,60.68,60.67,60.67 | +| grass | 67.19,67.2,67.16,67.19,67.2,67.19,67.19,67.17,67.18,67.17,67.19 | +| cabinet | 61.66,61.67,61.66,61.63,61.59,61.63,61.62,61.63,61.64,61.56,61.62 | +| sidewalk | 64.49,64.5,64.52,64.49,64.51,64.5,64.52,64.52,64.51,64.53,64.52 | +| person | 79.63,79.63,79.65,79.64,79.64,79.65,79.65,79.67,79.67,79.66,79.69 | +| earth | 36.09,36.09,36.07,36.1,36.11,36.12,36.14,36.15,36.14,36.17,36.17 | +| door | 46.22,46.18,46.2,46.19,46.19,46.18,46.18,46.17,46.18,46.17,46.15 | +| table | 60.85,60.85,60.84,60.83,60.84,60.85,60.82,60.83,60.82,60.82,60.82 | +| mountain | 57.28,57.32,57.36,57.38,57.36,57.38,57.39,57.41,57.47,57.46,57.47 | +| plant | 49.93,49.93,49.94,49.96,49.93,49.95,49.96,49.97,49.94,49.96,49.95 | +| curtain | 74.56,74.56,74.59,74.58,74.54,74.56,74.55,74.57,74.57,74.55,74.57 | +| chair | 56.51,56.51,56.5,56.52,56.52,56.51,56.51,56.5,56.51,56.51,56.51 | +| car | 81.77,81.76,81.78,81.78,81.78,81.78,81.77,81.78,81.77,81.77,81.76 | +| water | 57.3,57.32,57.3,57.31,57.31,57.31,57.32,57.32,57.32,57.31,57.33 | +| painting | 70.41,70.42,70.44,70.49,70.54,70.59,70.6,70.64,70.68,70.73,70.75 | +| sofa | 64.3,64.32,64.29,64.3,64.31,64.31,64.3,64.3,64.3,64.28,64.3 | +| shelf | 43.97,43.91,43.93,43.94,43.91,43.94,43.96,43.94,43.98,43.91,43.97 | +| house | 42.33,42.31,42.23,42.17,42.14,42.07,42.04,41.97,41.91,41.87,41.88 | +| sea | 60.52,60.56,60.53,60.55,60.54,60.56,60.58,60.59,60.59,60.59,60.61 | +| mirror | 66.4,66.41,66.39,66.45,66.41,66.42,66.42,66.44,66.46,66.46,66.47 | +| rug | 64.57,64.66,64.6,64.63,64.57,64.47,64.54,64.47,64.44,64.46,64.4 | +| field | 30.74,30.76,30.77,30.78,30.76,30.78,30.8,30.82,30.82,30.83,30.82 | +| armchair | 37.99,37.98,37.97,37.95,37.94,37.94,37.94,37.91,37.89,37.88,37.86 | +| seat | 66.24,66.15,66.13,66.14,66.13,66.15,66.09,66.09,66.08,66.05,66.06 | +| fence | 40.39,40.44,40.54,40.48,40.48,40.4,40.42,40.46,40.48,40.48,40.44 | +| desk | 46.87,46.87,46.85,46.8,46.82,46.84,46.77,46.81,46.8,46.75,46.79 | +| rock | 37.12,37.09,37.09,37.1,37.12,37.12,37.12,37.14,37.12,37.14,37.15 | +| wardrobe | 57.83,57.75,57.75,57.72,57.71,57.75,57.71,57.7,57.71,57.64,57.68 | +| lamp | 61.83,61.81,61.83,61.86,61.84,61.87,61.84,61.86,61.86,61.86,61.85 | +| bathtub | 76.89,76.95,76.99,76.98,76.97,77.04,77.07,77.12,77.2,77.16,77.17 | +| railing | 33.65,33.64,33.62,33.62,33.61,33.59,33.6,33.58,33.59,33.59,33.62 | +| cushion | 55.92,55.93,55.88,55.87,55.86,55.86,55.81,55.86,55.78,55.75,55.77 | +| base | 22.44,22.43,22.48,22.46,22.44,22.45,22.45,22.46,22.5,22.5,22.49 | +| box | 23.38,23.44,23.42,23.41,23.43,23.42,23.41,23.39,23.44,23.43,23.42 | +| column | 46.17,46.27,46.26,46.29,46.34,46.33,46.39,46.39,46.43,46.42,46.45 | +| signboard | 37.94,37.98,37.99,38.01,38.0,38.02,38.04,38.05,38.07,38.07,38.06 | +| chest of drawers | 36.38,36.4,36.38,36.36,36.36,36.36,36.37,36.31,36.32,36.33,36.37 | +| counter | 30.89,30.88,30.92,30.9,30.87,30.88,30.88,30.91,30.89,30.88,30.87 | +| sand | 43.81,43.8,43.89,43.89,43.96,44.06,44.05,44.16,44.27,44.28,44.41 | +| sink | 67.88,67.88,67.84,67.89,67.9,67.89,67.89,67.91,67.9,67.92,67.93 | +| skyscraper | 51.88,51.81,51.77,51.64,51.48,51.51,51.43,51.31,51.25,51.34,51.35 | +| fireplace | 75.62,75.65,75.62,75.6,75.59,75.55,75.61,75.57,75.55,75.52,75.48 | +| refrigerator | 74.58,74.57,74.47,74.52,74.46,74.48,74.46,74.41,74.31,74.23,74.23 | +| grandstand | 51.91,51.89,51.79,51.74,51.76,51.62,51.72,51.63,51.61,51.53,51.58 | +| path | 22.38,22.43,22.45,22.44,22.46,22.44,22.42,22.44,22.45,22.43,22.43 | +| stairs | 31.37,31.35,31.25,31.23,31.26,31.18,31.21,31.19,31.14,31.13,31.12 | +| runway | 67.17,67.17,67.15,67.09,67.02,67.02,66.98,66.91,66.93,66.85,66.89 | +| case | 47.93,47.94,47.9,47.89,47.89,47.88,47.88,47.84,47.83,47.82,47.81 | +| pool table | 92.01,92.0,92.01,91.98,91.97,91.95,91.94,91.93,91.93,91.92,91.91 | +| pillow | 59.69,59.83,59.87,59.83,59.77,59.82,59.87,59.85,59.89,59.8,59.86 | +| screen door | 69.68,69.79,69.77,69.79,69.76,69.66,69.69,69.7,69.67,69.6,69.57 | +| stairway | 23.97,24.0,23.97,23.99,23.92,23.94,23.93,23.92,23.99,23.96,23.94 | +| river | 11.91,11.92,11.91,11.92,11.9,11.9,11.91,11.91,11.9,11.91,11.89 | +| bridge | 31.27,31.24,31.15,31.19,31.11,31.08,31.03,31.0,30.96,30.98,31.01 | +| bookcase | 45.77,45.68,45.72,45.74,45.75,45.84,45.81,45.77,45.86,45.8,45.89 | +| blind | 39.99,39.98,40.06,39.96,39.99,39.9,39.9,39.87,39.89,39.9,39.84 | +| coffee table | 52.92,52.96,52.89,52.88,52.75,52.78,52.82,52.8,52.75,52.69,52.71 | +| toilet | 83.74,83.73,83.74,83.74,83.75,83.79,83.79,83.83,83.84,83.83,83.89 | +| flower | 38.85,38.89,38.89,38.87,38.94,38.93,38.98,38.96,38.99,39.0,39.0 | +| book | 45.18,45.16,45.16,45.18,45.25,45.25,45.23,45.22,45.28,45.27,45.34 | +| hill | 15.85,15.9,15.87,15.94,15.95,15.93,15.98,15.99,16.0,16.02,16.01 | +| bench | 42.76,42.76,42.78,42.75,42.78,42.73,42.71,42.67,42.69,42.65,42.66 | +| countertop | 55.55,55.53,55.46,55.48,55.54,55.53,55.51,55.51,55.46,55.48,55.44 | +| stove | 72.07,72.06,72.09,72.1,72.14,72.09,72.13,72.17,72.15,72.16,72.17 | +| palm | 47.85,47.88,47.87,47.85,47.86,47.86,47.88,47.84,47.84,47.86,47.84 | +| kitchen island | 45.77,45.69,45.65,45.53,45.53,45.57,45.57,45.61,45.63,45.37,45.6 | +| computer | 60.57,60.62,60.6,60.62,60.61,60.62,60.63,60.62,60.63,60.62,60.63 | +| swivel chair | 43.55,43.43,43.46,43.46,43.4,43.38,43.37,43.3,43.34,43.32,43.28 | +| boat | 72.28,72.15,72.28,72.26,72.43,72.45,72.42,72.49,72.47,72.56,72.62 | +| bar | 23.47,23.48,23.51,23.49,23.47,23.47,23.46,23.46,23.47,23.47,23.47 | +| arcade machine | 68.58,68.91,68.96,68.96,68.87,68.93,68.98,68.95,69.24,69.08,69.23 | +| hovel | 32.74,32.55,32.57,32.45,32.33,32.38,32.15,32.04,32.05,32.0,31.89 | +| bus | 79.71,79.66,79.64,79.65,79.62,79.65,79.62,79.6,79.56,79.55,79.51 | +| towel | 62.91,62.91,63.02,63.03,62.99,63.04,63.06,63.11,63.15,63.12,63.16 | +| light | 55.2,55.11,55.09,54.98,55.0,54.91,54.81,54.78,54.74,54.68,54.57 | +| truck | 19.17,19.18,19.12,19.1,18.93,18.91,18.86,18.97,18.93,18.86,18.83 | +| tower | 7.11,7.18,7.18,7.17,7.13,7.09,7.04,7.06,6.97,7.03,7.04 | +| chandelier | 64.4,64.38,64.45,64.42,64.45,64.45,64.47,64.48,64.5,64.51,64.49 | +| awning | 24.16,24.14,24.08,24.05,23.87,23.85,23.75,23.75,23.78,23.65,23.82 | +| streetlight | 27.18,27.14,27.16,27.19,27.25,27.29,27.2,27.25,27.31,27.33,27.32 | +| booth | 46.01,46.04,46.08,46.27,46.31,46.12,46.17,46.25,46.36,46.42,46.33 | +| television receiver | 64.3,64.31,64.32,64.36,64.32,64.37,64.35,64.39,64.39,64.4,64.4 | +| airplane | 59.14,59.15,59.24,59.22,59.17,59.29,59.27,59.24,59.28,59.3,59.25 | +| dirt track | 18.87,19.02,19.06,19.18,19.15,19.31,19.4,19.41,19.47,19.55,19.55 | +| apparel | 34.0,33.93,33.94,33.93,33.94,33.94,33.88,33.82,33.8,33.8,33.78 | +| pole | 19.42,19.4,19.35,19.33,19.34,19.32,19.27,19.25,19.26,19.23,19.18 | +| land | 3.4,3.42,3.41,3.44,3.42,3.43,3.45,3.46,3.48,3.47,3.48 | +| bannister | 12.39,12.4,12.38,12.39,12.44,12.36,12.43,12.41,12.41,12.47,12.45 | +| escalator | 24.34,24.39,24.37,24.4,24.33,24.33,24.35,24.37,24.34,24.34,24.29 | +| ottoman | 40.73,40.68,40.71,40.67,40.68,40.66,40.71,40.66,40.64,40.62,40.57 | +| bottle | 34.5,34.49,34.45,34.47,34.46,34.49,34.49,34.4,34.41,34.44,34.42 | +| buffet | 42.46,42.39,42.38,42.47,42.43,42.41,42.34,42.35,42.28,42.33,42.27 | +| poster | 22.95,22.99,23.03,23.07,23.06,23.17,23.13,23.14,23.25,23.21,23.25 | +| stage | 15.31,15.29,15.3,15.28,15.32,15.35,15.36,15.34,15.33,15.41,15.35 | +| van | 38.01,38.0,38.03,38.0,37.99,37.95,37.97,37.93,37.97,37.93,37.89 | +| ship | 82.68,82.67,82.65,82.73,82.75,82.8,82.79,82.8,82.77,82.87,82.87 | +| fountain | 22.61,22.65,22.64,22.67,22.78,22.8,22.76,22.76,22.79,22.76,22.76 | +| conveyer belt | 84.66,84.64,84.72,84.66,84.76,84.77,84.71,84.76,84.72,84.72,84.78 | +| canopy | 24.78,24.83,24.88,24.88,24.83,24.75,24.77,24.78,24.85,24.72,24.78 | +| washer | 75.73,75.74,75.96,75.81,75.86,75.84,75.76,75.78,75.93,75.9,75.86 | +| plaything | 20.19,20.18,20.23,20.21,20.25,20.27,20.33,20.33,20.29,20.3,20.34 | +| swimming pool | 73.12,73.2,73.14,73.04,73.05,73.06,73.03,72.94,72.93,73.0,72.81 | +| stool | 43.56,43.61,43.62,43.62,43.59,43.53,43.59,43.6,43.61,43.54,43.51 | +| barrel | 43.94,44.25,43.98,44.09,44.41,44.69,44.27,44.73,44.24,44.6,44.31 | +| basket | 24.58,24.54,24.54,24.53,24.52,24.56,24.54,24.55,24.53,24.54,24.52 | +| waterfall | 47.96,47.88,47.92,47.85,47.96,47.92,47.91,47.83,47.85,47.83,47.9 | +| tent | 94.89,94.91,94.87,94.87,94.86,94.9,94.9,94.87,94.88,94.88,94.86 | +| bag | 16.25,16.31,16.35,16.36,16.41,16.41,16.51,16.53,16.5,16.57,16.59 | +| minibike | 62.16,62.17,62.14,62.06,62.02,62.09,61.94,61.88,61.89,61.81,61.71 | +| cradle | 83.94,83.95,84.01,83.97,84.0,84.03,83.98,84.01,84.02,84.04,84.03 | +| oven | 49.16,49.07,48.96,49.01,48.94,48.91,48.91,48.91,48.86,48.87,48.7 | +| ball | 47.81,47.76,47.78,47.86,47.93,47.87,47.88,47.94,47.91,48.06,47.89 | +| food | 53.81,53.76,53.74,53.74,53.88,53.97,53.87,53.92,53.89,53.97,53.9 | +| step | 6.39,6.28,6.25,6.25,6.14,6.1,6.02,6.02,5.94,5.89,5.87 | +| tank | 51.7,51.6,51.66,51.57,51.71,51.66,51.65,51.65,51.73,51.62,51.6 | +| trade name | 27.54,27.51,27.59,27.66,27.42,27.47,27.53,27.4,27.59,27.45,27.53 | +| microwave | 73.31,73.28,73.22,73.26,73.3,73.31,73.26,73.25,73.28,73.23,73.25 | +| pot | 29.74,29.76,29.73,29.76,29.73,29.67,29.68,29.68,29.69,29.67,29.63 | +| animal | 55.01,54.98,54.99,54.96,54.95,54.97,54.92,54.96,54.97,54.96,54.95 | +| bicycle | 53.96,53.94,53.94,53.96,53.97,53.92,53.95,53.9,53.95,53.94,53.93 | +| lake | 57.2,57.21,57.19,57.23,57.23,57.23,57.25,57.25,57.25,57.25,57.24 | +| dishwasher | 64.93,65.04,64.94,64.99,65.09,65.12,65.22,65.19,65.14,65.09,65.21 | +| screen | 68.92,68.93,68.76,68.65,68.75,68.68,68.77,68.53,68.54,68.52,68.58 | +| blanket | 17.39,17.36,17.51,17.51,17.51,17.63,17.53,17.6,17.68,17.63,17.71 | +| sculpture | 58.83,58.81,58.86,58.89,58.77,58.93,58.9,58.92,58.87,58.81,59.02 | +| hood | 56.59,56.5,56.63,56.7,56.68,56.67,56.8,56.8,56.82,56.77,56.78 | +| sconce | 43.5,43.56,43.57,43.6,43.57,43.59,43.56,43.6,43.61,43.66,43.62 | +| vase | 37.2,37.16,37.17,37.18,37.12,37.14,37.09,37.03,37.04,36.93,36.98 | +| traffic light | 32.87,32.97,33.01,32.93,32.96,32.92,32.97,33.0,33.0,32.98,32.98 | +| tray | 7.36,7.37,7.46,7.45,7.5,7.56,7.55,7.6,7.68,7.65,7.76 | +| ashcan | 40.01,40.12,40.24,40.1,40.06,40.1,40.12,40.14,40.13,40.11,40.17 | +| fan | 57.97,57.96,58.01,57.98,57.94,57.94,57.91,57.91,57.92,57.9,57.91 | +| pier | 51.67,51.74,51.79,51.96,52.04,52.14,52.32,52.25,52.33,52.37,52.38 | +| crt screen | 10.85,10.91,10.9,10.93,10.9,10.94,10.94,10.93,10.95,10.96,10.96 | +| plate | 52.96,52.86,52.89,52.82,52.89,52.86,52.79,52.79,52.83,52.76,52.81 | +| monitor | 18.25,18.32,18.28,18.29,18.49,18.44,18.48,18.52,18.42,18.57,18.53 | +| bulletin board | 37.44,37.5,37.62,37.69,37.65,37.72,37.71,37.7,37.84,37.86,37.84 | +| shower | 1.97,2.0,1.98,1.95,1.98,1.99,1.99,1.95,2.0,1.93,1.92 | +| radiator | 58.34,58.47,58.58,58.45,58.38,58.49,58.36,58.55,58.59,58.59,58.73 | +| glass | 13.72,13.71,13.67,13.68,13.63,13.64,13.59,13.56,13.58,13.55,13.53 | +| clock | 36.88,36.9,37.08,37.05,37.09,36.92,37.0,36.79,36.88,36.88,36.75 | +| flag | 33.9,33.89,33.82,33.8,33.74,33.68,33.65,33.55,33.64,33.49,33.5 | ++---------------------+-------------------------------------------------------------------+ +2023-03-04 06:02:53,306 - mmseg - INFO - Summary: +2023-03-04 06:02:53,307 - mmseg - INFO - ++-------------------------------------------------------------------+ +| mIoU 0,10,20,30,40,50,60,70,80,90,99 | ++-------------------------------------------------------------------+ +| 48.72,48.73,48.73,48.73,48.73,48.73,48.73,48.72,48.73,48.72,48.72 | ++-------------------------------------------------------------------+ +2023-03-04 06:02:53,341 - mmseg - INFO - The previous best checkpoint /mnt/petrelfs/laizeqiang/mmseg-baseline/work_dirs2/ablation_segformer_mit_b2_segformer_head_unet_fc_small_multi_step_ade_pretrained_freeze_embed_160k_ade20k151_finetune_ema_winit/best_mIoU_iter_48000.pth was removed +2023-03-04 06:02:54,291 - mmseg - INFO - Now best checkpoint is saved as best_mIoU_iter_80000.pth. +2023-03-04 06:02:54,292 - mmseg - INFO - Best mIoU is 0.4872 at 80000 iter. +2023-03-04 06:02:54,292 - mmseg - INFO - Exp name: ablation_segformer_mit_b2_segformer_head_unet_fc_small_multi_step_ade_pretrained_freeze_embed_160k_ade20k151_finetune_ema_winit.py +2023-03-04 06:02:54,292 - mmseg - INFO - Iter(val) [250] mIoU: [0.4872, 0.4873, 0.4873, 0.4873, 0.4873, 0.4873, 0.4873, 0.4872, 0.4873, 0.4872, 0.4872], copy_paste: 48.72,48.73,48.73,48.73,48.73,48.73,48.73,48.72,48.73,48.72,48.72 +2023-03-04 06:02:54,299 - mmseg - INFO - Swap parameters (before train) before iter [80001] +2023-03-04 06:03:03,036 - mmseg - INFO - Iter [80050/160000] lr: 9.375e-06, eta: 4:50:39, time: 13.432, data_time: 13.265, memory: 52541, decode.loss_ce: 0.1862, decode.acc_seg: 92.2522, loss: 0.1862 +2023-03-04 06:03:11,484 - mmseg - INFO - Iter [80100/160000] lr: 9.375e-06, eta: 4:50:25, time: 0.169, data_time: 0.007, memory: 52541, decode.loss_ce: 0.1893, decode.acc_seg: 92.1796, loss: 0.1893 +2023-03-04 06:03:22,369 - mmseg - INFO - Iter [80150/160000] lr: 9.375e-06, eta: 4:50:14, time: 0.218, data_time: 0.053, memory: 52541, decode.loss_ce: 0.1916, decode.acc_seg: 92.1071, loss: 0.1916 +2023-03-04 06:03:31,193 - mmseg - INFO - Iter [80200/160000] lr: 9.375e-06, eta: 4:50:01, time: 0.176, data_time: 0.007, memory: 52541, decode.loss_ce: 0.1829, decode.acc_seg: 92.4557, loss: 0.1829 +2023-03-04 06:03:39,819 - mmseg - INFO - Iter [80250/160000] lr: 9.375e-06, eta: 4:49:48, time: 0.173, data_time: 0.007, memory: 52541, decode.loss_ce: 0.1876, decode.acc_seg: 92.2982, loss: 0.1876 +2023-03-04 06:03:48,327 - mmseg - INFO - Iter [80300/160000] lr: 9.375e-06, eta: 4:49:35, time: 0.170, data_time: 0.008, memory: 52541, decode.loss_ce: 0.1871, decode.acc_seg: 92.3441, loss: 0.1871 +2023-03-04 06:03:56,708 - mmseg - INFO - Iter [80350/160000] lr: 9.375e-06, eta: 4:49:22, time: 0.167, data_time: 0.007, memory: 52541, decode.loss_ce: 0.1846, decode.acc_seg: 92.4630, loss: 0.1846 +2023-03-04 06:04:05,164 - mmseg - INFO - Iter [80400/160000] lr: 9.375e-06, eta: 4:49:08, time: 0.169, data_time: 0.007, memory: 52541, decode.loss_ce: 0.1838, decode.acc_seg: 92.4546, loss: 0.1838 +2023-03-04 06:04:14,173 - mmseg - INFO - Iter [80450/160000] lr: 9.375e-06, eta: 4:48:56, time: 0.180, data_time: 0.008, memory: 52541, decode.loss_ce: 0.1941, decode.acc_seg: 92.0564, loss: 0.1941 +2023-03-04 06:04:22,787 - mmseg - INFO - Iter [80500/160000] lr: 9.375e-06, eta: 4:48:42, time: 0.172, data_time: 0.007, memory: 52541, decode.loss_ce: 0.1954, decode.acc_seg: 92.1529, loss: 0.1954 +2023-03-04 06:04:31,361 - mmseg - INFO - Iter [80550/160000] lr: 9.375e-06, eta: 4:48:29, time: 0.172, data_time: 0.007, memory: 52541, decode.loss_ce: 0.1901, decode.acc_seg: 92.2207, loss: 0.1901 +2023-03-04 06:04:39,683 - mmseg - INFO - Iter [80600/160000] lr: 9.375e-06, eta: 4:48:16, time: 0.166, data_time: 0.007, memory: 52541, decode.loss_ce: 0.1822, decode.acc_seg: 92.3474, loss: 0.1822 +2023-03-04 06:04:48,051 - mmseg - INFO - Iter [80650/160000] lr: 9.375e-06, eta: 4:48:02, time: 0.167, data_time: 0.007, memory: 52541, decode.loss_ce: 0.1878, decode.acc_seg: 92.2641, loss: 0.1878 +2023-03-04 06:04:56,842 - mmseg - INFO - Iter [80700/160000] lr: 9.375e-06, eta: 4:47:49, time: 0.176, data_time: 0.007, memory: 52541, decode.loss_ce: 0.1903, decode.acc_seg: 92.1604, loss: 0.1903 +2023-03-04 06:05:05,342 - mmseg - INFO - Iter [80750/160000] lr: 9.375e-06, eta: 4:47:36, time: 0.170, data_time: 0.008, memory: 52541, decode.loss_ce: 0.1817, decode.acc_seg: 92.4614, loss: 0.1817 +2023-03-04 06:05:16,246 - mmseg - INFO - Iter [80800/160000] lr: 9.375e-06, eta: 4:47:25, time: 0.218, data_time: 0.057, memory: 52541, decode.loss_ce: 0.1976, decode.acc_seg: 91.9771, loss: 0.1976 +2023-03-04 06:05:24,630 - mmseg - INFO - Iter [80850/160000] lr: 9.375e-06, eta: 4:47:12, time: 0.167, data_time: 0.007, memory: 52541, decode.loss_ce: 0.1892, decode.acc_seg: 92.3268, loss: 0.1892 +2023-03-04 06:05:33,056 - mmseg - INFO - Iter [80900/160000] lr: 9.375e-06, eta: 4:46:59, time: 0.169, data_time: 0.007, memory: 52541, decode.loss_ce: 0.1857, decode.acc_seg: 92.2900, loss: 0.1857 +2023-03-04 06:05:41,691 - mmseg - INFO - Iter [80950/160000] lr: 9.375e-06, eta: 4:46:46, time: 0.173, data_time: 0.007, memory: 52541, decode.loss_ce: 0.1921, decode.acc_seg: 92.0312, loss: 0.1921 +2023-03-04 06:05:50,370 - mmseg - INFO - Exp name: ablation_segformer_mit_b2_segformer_head_unet_fc_small_multi_step_ade_pretrained_freeze_embed_160k_ade20k151_finetune_ema_winit.py +2023-03-04 06:05:50,370 - mmseg - INFO - Iter [81000/160000] lr: 9.375e-06, eta: 4:46:33, time: 0.174, data_time: 0.008, memory: 52541, decode.loss_ce: 0.1889, decode.acc_seg: 92.1456, loss: 0.1889 +2023-03-04 06:05:58,901 - mmseg - INFO - Iter [81050/160000] lr: 9.375e-06, eta: 4:46:19, time: 0.171, data_time: 0.007, memory: 52541, decode.loss_ce: 0.1917, decode.acc_seg: 92.0882, loss: 0.1917 +2023-03-04 06:06:07,557 - mmseg - INFO - Iter [81100/160000] lr: 9.375e-06, eta: 4:46:06, time: 0.173, data_time: 0.007, memory: 52541, decode.loss_ce: 0.1835, decode.acc_seg: 92.4512, loss: 0.1835 +2023-03-04 06:06:15,856 - mmseg - INFO - Iter [81150/160000] lr: 9.375e-06, eta: 4:45:53, time: 0.166, data_time: 0.007, memory: 52541, decode.loss_ce: 0.1851, decode.acc_seg: 92.3341, loss: 0.1851 +2023-03-04 06:06:24,279 - mmseg - INFO - Iter [81200/160000] lr: 9.375e-06, eta: 4:45:40, time: 0.168, data_time: 0.007, memory: 52541, decode.loss_ce: 0.1910, decode.acc_seg: 92.1137, loss: 0.1910 +2023-03-04 06:06:32,906 - mmseg - INFO - Iter [81250/160000] lr: 9.375e-06, eta: 4:45:27, time: 0.173, data_time: 0.007, memory: 52541, decode.loss_ce: 0.1820, decode.acc_seg: 92.4962, loss: 0.1820 +2023-03-04 06:06:41,423 - mmseg - INFO - Iter [81300/160000] lr: 9.375e-06, eta: 4:45:14, time: 0.170, data_time: 0.007, memory: 52541, decode.loss_ce: 0.1789, decode.acc_seg: 92.6132, loss: 0.1789 +2023-03-04 06:06:50,135 - mmseg - INFO - Iter [81350/160000] lr: 9.375e-06, eta: 4:45:01, time: 0.174, data_time: 0.007, memory: 52541, decode.loss_ce: 0.1871, decode.acc_seg: 92.3424, loss: 0.1871 +2023-03-04 06:07:01,152 - mmseg - INFO - Iter [81400/160000] lr: 9.375e-06, eta: 4:44:50, time: 0.220, data_time: 0.056, memory: 52541, decode.loss_ce: 0.1842, decode.acc_seg: 92.4365, loss: 0.1842 +2023-03-04 06:07:09,622 - mmseg - INFO - Iter [81450/160000] lr: 9.375e-06, eta: 4:44:37, time: 0.169, data_time: 0.007, memory: 52541, decode.loss_ce: 0.1877, decode.acc_seg: 92.1140, loss: 0.1877 +2023-03-04 06:07:18,493 - mmseg - INFO - Iter [81500/160000] lr: 9.375e-06, eta: 4:44:24, time: 0.177, data_time: 0.007, memory: 52541, decode.loss_ce: 0.1908, decode.acc_seg: 92.1602, loss: 0.1908 +2023-03-04 06:07:27,291 - mmseg - INFO - Iter [81550/160000] lr: 9.375e-06, eta: 4:44:11, time: 0.176, data_time: 0.008, memory: 52541, decode.loss_ce: 0.1869, decode.acc_seg: 92.2873, loss: 0.1869 +2023-03-04 06:07:35,559 - mmseg - INFO - Iter [81600/160000] lr: 9.375e-06, eta: 4:43:58, time: 0.165, data_time: 0.007, memory: 52541, decode.loss_ce: 0.1841, decode.acc_seg: 92.4355, loss: 0.1841 +2023-03-04 06:07:43,837 - mmseg - INFO - Iter [81650/160000] lr: 9.375e-06, eta: 4:43:44, time: 0.166, data_time: 0.007, memory: 52541, decode.loss_ce: 0.1879, decode.acc_seg: 92.2176, loss: 0.1879 +2023-03-04 06:07:52,335 - mmseg - INFO - Iter [81700/160000] lr: 9.375e-06, eta: 4:43:31, time: 0.170, data_time: 0.007, memory: 52541, decode.loss_ce: 0.1976, decode.acc_seg: 91.7423, loss: 0.1976 +2023-03-04 06:08:01,088 - mmseg - INFO - Iter [81750/160000] lr: 9.375e-06, eta: 4:43:18, time: 0.175, data_time: 0.007, memory: 52541, decode.loss_ce: 0.1849, decode.acc_seg: 92.4820, loss: 0.1849 +2023-03-04 06:08:10,023 - mmseg - INFO - Iter [81800/160000] lr: 9.375e-06, eta: 4:43:06, time: 0.179, data_time: 0.007, memory: 52541, decode.loss_ce: 0.1942, decode.acc_seg: 92.0847, loss: 0.1942 +2023-03-04 06:08:18,494 - mmseg - INFO - Iter [81850/160000] lr: 9.375e-06, eta: 4:42:52, time: 0.169, data_time: 0.007, memory: 52541, decode.loss_ce: 0.1833, decode.acc_seg: 92.4305, loss: 0.1833 +2023-03-04 06:08:27,230 - mmseg - INFO - Iter [81900/160000] lr: 9.375e-06, eta: 4:42:40, time: 0.175, data_time: 0.007, memory: 52541, decode.loss_ce: 0.1855, decode.acc_seg: 92.5090, loss: 0.1855 +2023-03-04 06:08:35,834 - mmseg - INFO - Iter [81950/160000] lr: 9.375e-06, eta: 4:42:27, time: 0.172, data_time: 0.008, memory: 52541, decode.loss_ce: 0.1857, decode.acc_seg: 92.4668, loss: 0.1857 +2023-03-04 06:08:44,433 - mmseg - INFO - Exp name: ablation_segformer_mit_b2_segformer_head_unet_fc_small_multi_step_ade_pretrained_freeze_embed_160k_ade20k151_finetune_ema_winit.py +2023-03-04 06:08:44,434 - mmseg - INFO - Iter [82000/160000] lr: 9.375e-06, eta: 4:42:14, time: 0.172, data_time: 0.007, memory: 52541, decode.loss_ce: 0.1878, decode.acc_seg: 92.1356, loss: 0.1878 +2023-03-04 06:08:55,333 - mmseg - INFO - Iter [82050/160000] lr: 9.375e-06, eta: 4:42:03, time: 0.218, data_time: 0.054, memory: 52541, decode.loss_ce: 0.1864, decode.acc_seg: 92.3795, loss: 0.1864 +2023-03-04 06:09:03,857 - mmseg - INFO - Iter [82100/160000] lr: 9.375e-06, eta: 4:41:50, time: 0.170, data_time: 0.007, memory: 52541, decode.loss_ce: 0.1874, decode.acc_seg: 92.3450, loss: 0.1874 +2023-03-04 06:09:12,354 - mmseg - INFO - Iter [82150/160000] lr: 9.375e-06, eta: 4:41:37, time: 0.170, data_time: 0.007, memory: 52541, decode.loss_ce: 0.1901, decode.acc_seg: 92.2850, loss: 0.1901 +2023-03-04 06:09:21,111 - mmseg - INFO - Iter [82200/160000] lr: 9.375e-06, eta: 4:41:24, time: 0.175, data_time: 0.008, memory: 52541, decode.loss_ce: 0.1883, decode.acc_seg: 92.2118, loss: 0.1883 +2023-03-04 06:09:29,535 - mmseg - INFO - Iter [82250/160000] lr: 9.375e-06, eta: 4:41:11, time: 0.169, data_time: 0.007, memory: 52541, decode.loss_ce: 0.1977, decode.acc_seg: 91.9211, loss: 0.1977 +2023-03-04 06:09:38,158 - mmseg - INFO - Iter [82300/160000] lr: 9.375e-06, eta: 4:40:58, time: 0.172, data_time: 0.008, memory: 52541, decode.loss_ce: 0.1923, decode.acc_seg: 92.1273, loss: 0.1923 +2023-03-04 06:09:46,844 - mmseg - INFO - Iter [82350/160000] lr: 9.375e-06, eta: 4:40:45, time: 0.174, data_time: 0.007, memory: 52541, decode.loss_ce: 0.1881, decode.acc_seg: 92.2305, loss: 0.1881 +2023-03-04 06:09:55,398 - mmseg - INFO - Iter [82400/160000] lr: 9.375e-06, eta: 4:40:32, time: 0.171, data_time: 0.007, memory: 52541, decode.loss_ce: 0.1852, decode.acc_seg: 92.4646, loss: 0.1852 +2023-03-04 06:10:04,273 - mmseg - INFO - Iter [82450/160000] lr: 9.375e-06, eta: 4:40:19, time: 0.177, data_time: 0.007, memory: 52541, decode.loss_ce: 0.1877, decode.acc_seg: 92.2357, loss: 0.1877 +2023-03-04 06:10:12,583 - mmseg - INFO - Iter [82500/160000] lr: 9.375e-06, eta: 4:40:06, time: 0.166, data_time: 0.007, memory: 52541, decode.loss_ce: 0.1894, decode.acc_seg: 92.2144, loss: 0.1894 +2023-03-04 06:10:21,503 - mmseg - INFO - Iter [82550/160000] lr: 9.375e-06, eta: 4:39:53, time: 0.179, data_time: 0.007, memory: 52541, decode.loss_ce: 0.1824, decode.acc_seg: 92.4926, loss: 0.1824 +2023-03-04 06:10:29,847 - mmseg - INFO - Iter [82600/160000] lr: 9.375e-06, eta: 4:39:40, time: 0.167, data_time: 0.007, memory: 52541, decode.loss_ce: 0.1900, decode.acc_seg: 92.2247, loss: 0.1900 +2023-03-04 06:10:38,242 - mmseg - INFO - Iter [82650/160000] lr: 9.375e-06, eta: 4:39:27, time: 0.168, data_time: 0.007, memory: 52541, decode.loss_ce: 0.1922, decode.acc_seg: 92.0853, loss: 0.1922 +2023-03-04 06:10:49,498 - mmseg - INFO - Iter [82700/160000] lr: 9.375e-06, eta: 4:39:16, time: 0.225, data_time: 0.054, memory: 52541, decode.loss_ce: 0.1809, decode.acc_seg: 92.5275, loss: 0.1809 +2023-03-04 06:10:58,156 - mmseg - INFO - Iter [82750/160000] lr: 9.375e-06, eta: 4:39:04, time: 0.173, data_time: 0.007, memory: 52541, decode.loss_ce: 0.1863, decode.acc_seg: 92.3386, loss: 0.1863 +2023-03-04 06:11:06,838 - mmseg - INFO - Iter [82800/160000] lr: 9.375e-06, eta: 4:38:51, time: 0.174, data_time: 0.007, memory: 52541, decode.loss_ce: 0.1916, decode.acc_seg: 92.1253, loss: 0.1916 +2023-03-04 06:11:15,250 - mmseg - INFO - Iter [82850/160000] lr: 9.375e-06, eta: 4:38:38, time: 0.168, data_time: 0.007, memory: 52541, decode.loss_ce: 0.1812, decode.acc_seg: 92.4147, loss: 0.1812 +2023-03-04 06:11:23,761 - mmseg - INFO - Iter [82900/160000] lr: 9.375e-06, eta: 4:38:25, time: 0.170, data_time: 0.007, memory: 52541, decode.loss_ce: 0.1895, decode.acc_seg: 92.3320, loss: 0.1895 +2023-03-04 06:11:32,168 - mmseg - INFO - Iter [82950/160000] lr: 9.375e-06, eta: 4:38:11, time: 0.168, data_time: 0.008, memory: 52541, decode.loss_ce: 0.1937, decode.acc_seg: 92.0900, loss: 0.1937 +2023-03-04 06:11:40,612 - mmseg - INFO - Exp name: ablation_segformer_mit_b2_segformer_head_unet_fc_small_multi_step_ade_pretrained_freeze_embed_160k_ade20k151_finetune_ema_winit.py +2023-03-04 06:11:40,613 - mmseg - INFO - Iter [83000/160000] lr: 9.375e-06, eta: 4:37:58, time: 0.169, data_time: 0.007, memory: 52541, decode.loss_ce: 0.1797, decode.acc_seg: 92.5502, loss: 0.1797 +2023-03-04 06:11:49,161 - mmseg - INFO - Iter [83050/160000] lr: 9.375e-06, eta: 4:37:46, time: 0.171, data_time: 0.007, memory: 52541, decode.loss_ce: 0.1853, decode.acc_seg: 92.2881, loss: 0.1853 +2023-03-04 06:11:57,502 - mmseg - INFO - Iter [83100/160000] lr: 9.375e-06, eta: 4:37:32, time: 0.167, data_time: 0.007, memory: 52541, decode.loss_ce: 0.1853, decode.acc_seg: 92.3344, loss: 0.1853 +2023-03-04 06:12:05,904 - mmseg - INFO - Iter [83150/160000] lr: 9.375e-06, eta: 4:37:19, time: 0.168, data_time: 0.007, memory: 52541, decode.loss_ce: 0.1892, decode.acc_seg: 92.1154, loss: 0.1892 +2023-03-04 06:12:14,660 - mmseg - INFO - Iter [83200/160000] lr: 9.375e-06, eta: 4:37:07, time: 0.175, data_time: 0.007, memory: 52541, decode.loss_ce: 0.1864, decode.acc_seg: 92.3809, loss: 0.1864 +2023-03-04 06:12:23,457 - mmseg - INFO - Iter [83250/160000] lr: 9.375e-06, eta: 4:36:54, time: 0.176, data_time: 0.007, memory: 52541, decode.loss_ce: 0.1886, decode.acc_seg: 92.3551, loss: 0.1886 +2023-03-04 06:12:34,286 - mmseg - INFO - Iter [83300/160000] lr: 9.375e-06, eta: 4:36:43, time: 0.217, data_time: 0.059, memory: 52541, decode.loss_ce: 0.1924, decode.acc_seg: 92.1166, loss: 0.1924 +2023-03-04 06:12:42,684 - mmseg - INFO - Iter [83350/160000] lr: 9.375e-06, eta: 4:36:30, time: 0.168, data_time: 0.007, memory: 52541, decode.loss_ce: 0.1867, decode.acc_seg: 92.3197, loss: 0.1867 +2023-03-04 06:12:51,331 - mmseg - INFO - Iter [83400/160000] lr: 9.375e-06, eta: 4:36:17, time: 0.173, data_time: 0.007, memory: 52541, decode.loss_ce: 0.1840, decode.acc_seg: 92.4945, loss: 0.1840 +2023-03-04 06:12:59,926 - mmseg - INFO - Iter [83450/160000] lr: 9.375e-06, eta: 4:36:04, time: 0.172, data_time: 0.008, memory: 52541, decode.loss_ce: 0.1818, decode.acc_seg: 92.3481, loss: 0.1818 +2023-03-04 06:13:08,495 - mmseg - INFO - Iter [83500/160000] lr: 9.375e-06, eta: 4:35:51, time: 0.171, data_time: 0.007, memory: 52541, decode.loss_ce: 0.1837, decode.acc_seg: 92.5298, loss: 0.1837 +2023-03-04 06:13:16,950 - mmseg - INFO - Iter [83550/160000] lr: 9.375e-06, eta: 4:35:38, time: 0.169, data_time: 0.008, memory: 52541, decode.loss_ce: 0.1961, decode.acc_seg: 91.9832, loss: 0.1961 +2023-03-04 06:13:25,543 - mmseg - INFO - Iter [83600/160000] lr: 9.375e-06, eta: 4:35:26, time: 0.172, data_time: 0.007, memory: 52541, decode.loss_ce: 0.1887, decode.acc_seg: 92.3854, loss: 0.1887 +2023-03-04 06:13:33,905 - mmseg - INFO - Iter [83650/160000] lr: 9.375e-06, eta: 4:35:13, time: 0.168, data_time: 0.008, memory: 52541, decode.loss_ce: 0.1953, decode.acc_seg: 91.9521, loss: 0.1953 +2023-03-04 06:13:42,473 - mmseg - INFO - Iter [83700/160000] lr: 9.375e-06, eta: 4:35:00, time: 0.171, data_time: 0.007, memory: 52541, decode.loss_ce: 0.1804, decode.acc_seg: 92.4800, loss: 0.1804 +2023-03-04 06:13:50,946 - mmseg - INFO - Iter [83750/160000] lr: 9.375e-06, eta: 4:34:47, time: 0.169, data_time: 0.008, memory: 52541, decode.loss_ce: 0.1850, decode.acc_seg: 92.4091, loss: 0.1850 +2023-03-04 06:13:59,260 - mmseg - INFO - Iter [83800/160000] lr: 9.375e-06, eta: 4:34:34, time: 0.166, data_time: 0.007, memory: 52541, decode.loss_ce: 0.1814, decode.acc_seg: 92.5226, loss: 0.1814 +2023-03-04 06:14:07,698 - mmseg - INFO - Iter [83850/160000] lr: 9.375e-06, eta: 4:34:21, time: 0.169, data_time: 0.008, memory: 52541, decode.loss_ce: 0.1831, decode.acc_seg: 92.4743, loss: 0.1831 +2023-03-04 06:14:16,181 - mmseg - INFO - Iter [83900/160000] lr: 9.375e-06, eta: 4:34:08, time: 0.170, data_time: 0.007, memory: 52541, decode.loss_ce: 0.1819, decode.acc_seg: 92.4441, loss: 0.1819 +2023-03-04 06:14:27,290 - mmseg - INFO - Iter [83950/160000] lr: 9.375e-06, eta: 4:33:57, time: 0.222, data_time: 0.053, memory: 52541, decode.loss_ce: 0.1842, decode.acc_seg: 92.3185, loss: 0.1842 +2023-03-04 06:14:35,604 - mmseg - INFO - Exp name: ablation_segformer_mit_b2_segformer_head_unet_fc_small_multi_step_ade_pretrained_freeze_embed_160k_ade20k151_finetune_ema_winit.py +2023-03-04 06:14:35,604 - mmseg - INFO - Iter [84000/160000] lr: 9.375e-06, eta: 4:33:44, time: 0.166, data_time: 0.007, memory: 52541, decode.loss_ce: 0.1832, decode.acc_seg: 92.5135, loss: 0.1832 +2023-03-04 06:14:44,810 - mmseg - INFO - Iter [84050/160000] lr: 9.375e-06, eta: 4:33:32, time: 0.184, data_time: 0.008, memory: 52541, decode.loss_ce: 0.1924, decode.acc_seg: 92.1410, loss: 0.1924 +2023-03-04 06:14:53,546 - mmseg - INFO - Iter [84100/160000] lr: 9.375e-06, eta: 4:33:19, time: 0.175, data_time: 0.007, memory: 52541, decode.loss_ce: 0.1864, decode.acc_seg: 92.2294, loss: 0.1864 +2023-03-04 06:15:01,948 - mmseg - INFO - Iter [84150/160000] lr: 9.375e-06, eta: 4:33:06, time: 0.168, data_time: 0.008, memory: 52541, decode.loss_ce: 0.1884, decode.acc_seg: 92.2524, loss: 0.1884 +2023-03-04 06:15:10,410 - mmseg - INFO - Iter [84200/160000] lr: 9.375e-06, eta: 4:32:53, time: 0.169, data_time: 0.007, memory: 52541, decode.loss_ce: 0.1856, decode.acc_seg: 92.4852, loss: 0.1856 +2023-03-04 06:15:18,809 - mmseg - INFO - Iter [84250/160000] lr: 9.375e-06, eta: 4:32:40, time: 0.168, data_time: 0.007, memory: 52541, decode.loss_ce: 0.1850, decode.acc_seg: 92.3785, loss: 0.1850 +2023-03-04 06:15:27,425 - mmseg - INFO - Iter [84300/160000] lr: 9.375e-06, eta: 4:32:28, time: 0.172, data_time: 0.007, memory: 52541, decode.loss_ce: 0.1834, decode.acc_seg: 92.3181, loss: 0.1834 +2023-03-04 06:15:36,100 - mmseg - INFO - Iter [84350/160000] lr: 9.375e-06, eta: 4:32:15, time: 0.174, data_time: 0.007, memory: 52541, decode.loss_ce: 0.1740, decode.acc_seg: 92.6555, loss: 0.1740 +2023-03-04 06:15:44,665 - mmseg - INFO - Iter [84400/160000] lr: 9.375e-06, eta: 4:32:02, time: 0.171, data_time: 0.007, memory: 52541, decode.loss_ce: 0.1877, decode.acc_seg: 92.3418, loss: 0.1877 +2023-03-04 06:15:53,141 - mmseg - INFO - Iter [84450/160000] lr: 9.375e-06, eta: 4:31:49, time: 0.170, data_time: 0.007, memory: 52541, decode.loss_ce: 0.1876, decode.acc_seg: 92.2318, loss: 0.1876 +2023-03-04 06:16:01,392 - mmseg - INFO - Iter [84500/160000] lr: 9.375e-06, eta: 4:31:36, time: 0.165, data_time: 0.007, memory: 52541, decode.loss_ce: 0.1933, decode.acc_seg: 92.0741, loss: 0.1933 +2023-03-04 06:16:09,782 - mmseg - INFO - Iter [84550/160000] lr: 9.375e-06, eta: 4:31:23, time: 0.168, data_time: 0.007, memory: 52541, decode.loss_ce: 0.1895, decode.acc_seg: 92.2590, loss: 0.1895 +2023-03-04 06:16:20,601 - mmseg - INFO - Iter [84600/160000] lr: 9.375e-06, eta: 4:31:13, time: 0.216, data_time: 0.053, memory: 52541, decode.loss_ce: 0.1839, decode.acc_seg: 92.3706, loss: 0.1839 +2023-03-04 06:16:29,103 - mmseg - INFO - Iter [84650/160000] lr: 9.375e-06, eta: 4:31:00, time: 0.170, data_time: 0.007, memory: 52541, decode.loss_ce: 0.1882, decode.acc_seg: 92.3039, loss: 0.1882 +2023-03-04 06:16:37,768 - mmseg - INFO - Iter [84700/160000] lr: 9.375e-06, eta: 4:30:47, time: 0.174, data_time: 0.007, memory: 52541, decode.loss_ce: 0.1855, decode.acc_seg: 92.3789, loss: 0.1855 +2023-03-04 06:16:46,526 - mmseg - INFO - Iter [84750/160000] lr: 9.375e-06, eta: 4:30:34, time: 0.175, data_time: 0.007, memory: 52541, decode.loss_ce: 0.1901, decode.acc_seg: 92.1067, loss: 0.1901 +2023-03-04 06:16:55,397 - mmseg - INFO - Iter [84800/160000] lr: 9.375e-06, eta: 4:30:22, time: 0.177, data_time: 0.008, memory: 52541, decode.loss_ce: 0.1855, decode.acc_seg: 92.3616, loss: 0.1855 +2023-03-04 06:17:03,813 - mmseg - INFO - Iter [84850/160000] lr: 9.375e-06, eta: 4:30:09, time: 0.168, data_time: 0.007, memory: 52541, decode.loss_ce: 0.1843, decode.acc_seg: 92.3493, loss: 0.1843 +2023-03-04 06:17:12,671 - mmseg - INFO - Iter [84900/160000] lr: 9.375e-06, eta: 4:29:57, time: 0.177, data_time: 0.007, memory: 52541, decode.loss_ce: 0.1960, decode.acc_seg: 92.1724, loss: 0.1960 +2023-03-04 06:17:21,055 - mmseg - INFO - Iter [84950/160000] lr: 9.375e-06, eta: 4:29:44, time: 0.168, data_time: 0.007, memory: 52541, decode.loss_ce: 0.1926, decode.acc_seg: 92.2000, loss: 0.1926 +2023-03-04 06:17:29,334 - mmseg - INFO - Exp name: ablation_segformer_mit_b2_segformer_head_unet_fc_small_multi_step_ade_pretrained_freeze_embed_160k_ade20k151_finetune_ema_winit.py +2023-03-04 06:17:29,334 - mmseg - INFO - Iter [85000/160000] lr: 9.375e-06, eta: 4:29:31, time: 0.166, data_time: 0.007, memory: 52541, decode.loss_ce: 0.1938, decode.acc_seg: 92.0808, loss: 0.1938 +2023-03-04 06:17:37,839 - mmseg - INFO - Iter [85050/160000] lr: 9.375e-06, eta: 4:29:18, time: 0.170, data_time: 0.007, memory: 52541, decode.loss_ce: 0.1860, decode.acc_seg: 92.1650, loss: 0.1860 +2023-03-04 06:17:46,668 - mmseg - INFO - Iter [85100/160000] lr: 9.375e-06, eta: 4:29:05, time: 0.177, data_time: 0.007, memory: 52541, decode.loss_ce: 0.1877, decode.acc_seg: 92.2321, loss: 0.1877 +2023-03-04 06:17:55,503 - mmseg - INFO - Iter [85150/160000] lr: 9.375e-06, eta: 4:28:53, time: 0.177, data_time: 0.007, memory: 52541, decode.loss_ce: 0.1795, decode.acc_seg: 92.5364, loss: 0.1795 +2023-03-04 06:18:07,183 - mmseg - INFO - Iter [85200/160000] lr: 9.375e-06, eta: 4:28:43, time: 0.234, data_time: 0.053, memory: 52541, decode.loss_ce: 0.1896, decode.acc_seg: 92.1044, loss: 0.1896 +2023-03-04 06:18:16,032 - mmseg - INFO - Iter [85250/160000] lr: 9.375e-06, eta: 4:28:30, time: 0.177, data_time: 0.006, memory: 52541, decode.loss_ce: 0.1894, decode.acc_seg: 92.2502, loss: 0.1894 +2023-03-04 06:18:24,424 - mmseg - INFO - Iter [85300/160000] lr: 9.375e-06, eta: 4:28:18, time: 0.168, data_time: 0.007, memory: 52541, decode.loss_ce: 0.1800, decode.acc_seg: 92.5568, loss: 0.1800 +2023-03-04 06:18:33,189 - mmseg - INFO - Iter [85350/160000] lr: 9.375e-06, eta: 4:28:05, time: 0.175, data_time: 0.007, memory: 52541, decode.loss_ce: 0.1813, decode.acc_seg: 92.4178, loss: 0.1813 +2023-03-04 06:18:41,664 - mmseg - INFO - Iter [85400/160000] lr: 9.375e-06, eta: 4:27:52, time: 0.169, data_time: 0.007, memory: 52541, decode.loss_ce: 0.1887, decode.acc_seg: 92.3491, loss: 0.1887 +2023-03-04 06:18:50,614 - mmseg - INFO - Iter [85450/160000] lr: 9.375e-06, eta: 4:27:40, time: 0.179, data_time: 0.008, memory: 52541, decode.loss_ce: 0.1805, decode.acc_seg: 92.5464, loss: 0.1805 +2023-03-04 06:18:59,891 - mmseg - INFO - Iter [85500/160000] lr: 9.375e-06, eta: 4:27:28, time: 0.186, data_time: 0.008, memory: 52541, decode.loss_ce: 0.1795, decode.acc_seg: 92.5925, loss: 0.1795 +2023-03-04 06:19:08,425 - mmseg - INFO - Iter [85550/160000] lr: 9.375e-06, eta: 4:27:15, time: 0.171, data_time: 0.007, memory: 52541, decode.loss_ce: 0.1925, decode.acc_seg: 92.2552, loss: 0.1925 +2023-03-04 06:19:16,912 - mmseg - INFO - Iter [85600/160000] lr: 9.375e-06, eta: 4:27:02, time: 0.170, data_time: 0.007, memory: 52541, decode.loss_ce: 0.1917, decode.acc_seg: 92.1004, loss: 0.1917 +2023-03-04 06:19:26,172 - mmseg - INFO - Iter [85650/160000] lr: 9.375e-06, eta: 4:26:50, time: 0.185, data_time: 0.007, memory: 52541, decode.loss_ce: 0.1876, decode.acc_seg: 92.4369, loss: 0.1876 +2023-03-04 06:19:34,449 - mmseg - INFO - Iter [85700/160000] lr: 9.375e-06, eta: 4:26:37, time: 0.166, data_time: 0.008, memory: 52541, decode.loss_ce: 0.1964, decode.acc_seg: 91.9227, loss: 0.1964 +2023-03-04 06:19:43,042 - mmseg - INFO - Iter [85750/160000] lr: 9.375e-06, eta: 4:26:25, time: 0.172, data_time: 0.007, memory: 52541, decode.loss_ce: 0.1846, decode.acc_seg: 92.3762, loss: 0.1846 +2023-03-04 06:19:51,441 - mmseg - INFO - Iter [85800/160000] lr: 9.375e-06, eta: 4:26:12, time: 0.168, data_time: 0.007, memory: 52541, decode.loss_ce: 0.1882, decode.acc_seg: 92.2176, loss: 0.1882 +2023-03-04 06:20:02,754 - mmseg - INFO - Iter [85850/160000] lr: 9.375e-06, eta: 4:26:02, time: 0.226, data_time: 0.055, memory: 52541, decode.loss_ce: 0.1880, decode.acc_seg: 92.1737, loss: 0.1880 +2023-03-04 06:20:11,222 - mmseg - INFO - Iter [85900/160000] lr: 9.375e-06, eta: 4:25:49, time: 0.169, data_time: 0.007, memory: 52541, decode.loss_ce: 0.1851, decode.acc_seg: 92.3001, loss: 0.1851 +2023-03-04 06:20:19,576 - mmseg - INFO - Iter [85950/160000] lr: 9.375e-06, eta: 4:25:36, time: 0.167, data_time: 0.007, memory: 52541, decode.loss_ce: 0.1931, decode.acc_seg: 92.0535, loss: 0.1931 +2023-03-04 06:20:28,039 - mmseg - INFO - Exp name: ablation_segformer_mit_b2_segformer_head_unet_fc_small_multi_step_ade_pretrained_freeze_embed_160k_ade20k151_finetune_ema_winit.py +2023-03-04 06:20:28,039 - mmseg - INFO - Iter [86000/160000] lr: 9.375e-06, eta: 4:25:23, time: 0.169, data_time: 0.007, memory: 52541, decode.loss_ce: 0.1870, decode.acc_seg: 92.2379, loss: 0.1870 +2023-03-04 06:20:36,937 - mmseg - INFO - Iter [86050/160000] lr: 9.375e-06, eta: 4:25:11, time: 0.178, data_time: 0.007, memory: 52541, decode.loss_ce: 0.1822, decode.acc_seg: 92.4035, loss: 0.1822 +2023-03-04 06:20:45,415 - mmseg - INFO - Iter [86100/160000] lr: 9.375e-06, eta: 4:24:58, time: 0.170, data_time: 0.007, memory: 52541, decode.loss_ce: 0.1939, decode.acc_seg: 91.9301, loss: 0.1939 +2023-03-04 06:20:53,675 - mmseg - INFO - Iter [86150/160000] lr: 9.375e-06, eta: 4:24:45, time: 0.165, data_time: 0.007, memory: 52541, decode.loss_ce: 0.1876, decode.acc_seg: 92.2438, loss: 0.1876 +2023-03-04 06:21:02,119 - mmseg - INFO - Iter [86200/160000] lr: 9.375e-06, eta: 4:24:33, time: 0.169, data_time: 0.007, memory: 52541, decode.loss_ce: 0.1828, decode.acc_seg: 92.5498, loss: 0.1828 +2023-03-04 06:21:10,485 - mmseg - INFO - Iter [86250/160000] lr: 9.375e-06, eta: 4:24:20, time: 0.167, data_time: 0.007, memory: 52541, decode.loss_ce: 0.1862, decode.acc_seg: 92.3405, loss: 0.1862 +2023-03-04 06:21:19,332 - mmseg - INFO - Iter [86300/160000] lr: 9.375e-06, eta: 4:24:07, time: 0.177, data_time: 0.008, memory: 52541, decode.loss_ce: 0.1834, decode.acc_seg: 92.5145, loss: 0.1834 +2023-03-04 06:21:27,825 - mmseg - INFO - Iter [86350/160000] lr: 9.375e-06, eta: 4:23:55, time: 0.170, data_time: 0.007, memory: 52541, decode.loss_ce: 0.1884, decode.acc_seg: 92.4909, loss: 0.1884 +2023-03-04 06:21:36,328 - mmseg - INFO - Iter [86400/160000] lr: 9.375e-06, eta: 4:23:42, time: 0.170, data_time: 0.007, memory: 52541, decode.loss_ce: 0.1915, decode.acc_seg: 92.1374, loss: 0.1915 +2023-03-04 06:21:47,180 - mmseg - INFO - Iter [86450/160000] lr: 9.375e-06, eta: 4:23:31, time: 0.217, data_time: 0.057, memory: 52541, decode.loss_ce: 0.1903, decode.acc_seg: 92.2690, loss: 0.1903 +2023-03-04 06:21:56,148 - mmseg - INFO - Iter [86500/160000] lr: 9.375e-06, eta: 4:23:19, time: 0.179, data_time: 0.007, memory: 52541, decode.loss_ce: 0.1921, decode.acc_seg: 92.2028, loss: 0.1921 +2023-03-04 06:22:04,701 - mmseg - INFO - Iter [86550/160000] lr: 9.375e-06, eta: 4:23:07, time: 0.171, data_time: 0.007, memory: 52541, decode.loss_ce: 0.1884, decode.acc_seg: 92.3288, loss: 0.1884 +2023-03-04 06:22:12,977 - mmseg - INFO - Iter [86600/160000] lr: 9.375e-06, eta: 4:22:54, time: 0.166, data_time: 0.007, memory: 52541, decode.loss_ce: 0.1873, decode.acc_seg: 92.2626, loss: 0.1873 +2023-03-04 06:22:21,539 - mmseg - INFO - Iter [86650/160000] lr: 9.375e-06, eta: 4:22:41, time: 0.171, data_time: 0.007, memory: 52541, decode.loss_ce: 0.1864, decode.acc_seg: 92.5024, loss: 0.1864 +2023-03-04 06:22:29,883 - mmseg - INFO - Iter [86700/160000] lr: 9.375e-06, eta: 4:22:28, time: 0.167, data_time: 0.007, memory: 52541, decode.loss_ce: 0.1816, decode.acc_seg: 92.4282, loss: 0.1816 +2023-03-04 06:22:38,266 - mmseg - INFO - Iter [86750/160000] lr: 9.375e-06, eta: 4:22:16, time: 0.167, data_time: 0.007, memory: 52541, decode.loss_ce: 0.1881, decode.acc_seg: 92.1605, loss: 0.1881 +2023-03-04 06:22:46,686 - mmseg - INFO - Iter [86800/160000] lr: 9.375e-06, eta: 4:22:03, time: 0.169, data_time: 0.007, memory: 52541, decode.loss_ce: 0.1968, decode.acc_seg: 92.0755, loss: 0.1968 +2023-03-04 06:22:55,103 - mmseg - INFO - Iter [86850/160000] lr: 9.375e-06, eta: 4:21:50, time: 0.168, data_time: 0.007, memory: 52541, decode.loss_ce: 0.1873, decode.acc_seg: 92.2763, loss: 0.1873 +2023-03-04 06:23:03,766 - mmseg - INFO - Iter [86900/160000] lr: 9.375e-06, eta: 4:21:38, time: 0.173, data_time: 0.007, memory: 52541, decode.loss_ce: 0.1848, decode.acc_seg: 92.3214, loss: 0.1848 +2023-03-04 06:23:12,030 - mmseg - INFO - Iter [86950/160000] lr: 9.375e-06, eta: 4:21:25, time: 0.165, data_time: 0.007, memory: 52541, decode.loss_ce: 0.1888, decode.acc_seg: 92.1676, loss: 0.1888 +2023-03-04 06:23:20,664 - mmseg - INFO - Exp name: ablation_segformer_mit_b2_segformer_head_unet_fc_small_multi_step_ade_pretrained_freeze_embed_160k_ade20k151_finetune_ema_winit.py +2023-03-04 06:23:20,664 - mmseg - INFO - Iter [87000/160000] lr: 9.375e-06, eta: 4:21:12, time: 0.172, data_time: 0.007, memory: 52541, decode.loss_ce: 0.1881, decode.acc_seg: 92.3277, loss: 0.1881 +2023-03-04 06:23:29,632 - mmseg - INFO - Iter [87050/160000] lr: 9.375e-06, eta: 4:21:00, time: 0.179, data_time: 0.007, memory: 52541, decode.loss_ce: 0.1827, decode.acc_seg: 92.5527, loss: 0.1827 +2023-03-04 06:23:40,543 - mmseg - INFO - Iter [87100/160000] lr: 9.375e-06, eta: 4:20:50, time: 0.218, data_time: 0.055, memory: 52541, decode.loss_ce: 0.1880, decode.acc_seg: 92.2658, loss: 0.1880 +2023-03-04 06:23:48,836 - mmseg - INFO - Iter [87150/160000] lr: 9.375e-06, eta: 4:20:37, time: 0.166, data_time: 0.007, memory: 52541, decode.loss_ce: 0.1858, decode.acc_seg: 92.3934, loss: 0.1858 +2023-03-04 06:23:57,470 - mmseg - INFO - Iter [87200/160000] lr: 9.375e-06, eta: 4:20:24, time: 0.173, data_time: 0.007, memory: 52541, decode.loss_ce: 0.1927, decode.acc_seg: 92.0405, loss: 0.1927 +2023-03-04 06:24:05,840 - mmseg - INFO - Iter [87250/160000] lr: 9.375e-06, eta: 4:20:12, time: 0.167, data_time: 0.007, memory: 52541, decode.loss_ce: 0.1878, decode.acc_seg: 92.1658, loss: 0.1878 +2023-03-04 06:24:14,059 - mmseg - INFO - Iter [87300/160000] lr: 9.375e-06, eta: 4:19:59, time: 0.164, data_time: 0.007, memory: 52541, decode.loss_ce: 0.1843, decode.acc_seg: 92.3650, loss: 0.1843 +2023-03-04 06:24:22,461 - mmseg - INFO - Iter [87350/160000] lr: 9.375e-06, eta: 4:19:46, time: 0.168, data_time: 0.007, memory: 52541, decode.loss_ce: 0.1810, decode.acc_seg: 92.4929, loss: 0.1810 +2023-03-04 06:24:31,008 - mmseg - INFO - Iter [87400/160000] lr: 9.375e-06, eta: 4:19:34, time: 0.171, data_time: 0.007, memory: 52541, decode.loss_ce: 0.1921, decode.acc_seg: 92.0888, loss: 0.1921 +2023-03-04 06:24:39,963 - mmseg - INFO - Iter [87450/160000] lr: 9.375e-06, eta: 4:19:21, time: 0.179, data_time: 0.007, memory: 52541, decode.loss_ce: 0.1886, decode.acc_seg: 92.2089, loss: 0.1886 +2023-03-04 06:24:48,697 - mmseg - INFO - Iter [87500/160000] lr: 9.375e-06, eta: 4:19:09, time: 0.174, data_time: 0.007, memory: 52541, decode.loss_ce: 0.1912, decode.acc_seg: 92.0529, loss: 0.1912 +2023-03-04 06:24:57,021 - mmseg - INFO - Iter [87550/160000] lr: 9.375e-06, eta: 4:18:56, time: 0.167, data_time: 0.007, memory: 52541, decode.loss_ce: 0.1856, decode.acc_seg: 92.3612, loss: 0.1856 +2023-03-04 06:25:05,392 - mmseg - INFO - Iter [87600/160000] lr: 9.375e-06, eta: 4:18:44, time: 0.167, data_time: 0.007, memory: 52541, decode.loss_ce: 0.1897, decode.acc_seg: 92.3635, loss: 0.1897 +2023-03-04 06:25:14,227 - mmseg - INFO - Iter [87650/160000] lr: 9.375e-06, eta: 4:18:31, time: 0.177, data_time: 0.007, memory: 52541, decode.loss_ce: 0.1838, decode.acc_seg: 92.4795, loss: 0.1838 +2023-03-04 06:25:22,873 - mmseg - INFO - Iter [87700/160000] lr: 9.375e-06, eta: 4:18:19, time: 0.173, data_time: 0.007, memory: 52541, decode.loss_ce: 0.1834, decode.acc_seg: 92.3729, loss: 0.1834 +2023-03-04 06:25:33,993 - mmseg - INFO - Iter [87750/160000] lr: 9.375e-06, eta: 4:18:09, time: 0.222, data_time: 0.054, memory: 52541, decode.loss_ce: 0.1861, decode.acc_seg: 92.4559, loss: 0.1861 +2023-03-04 06:25:42,328 - mmseg - INFO - Iter [87800/160000] lr: 9.375e-06, eta: 4:17:56, time: 0.167, data_time: 0.007, memory: 52541, decode.loss_ce: 0.1893, decode.acc_seg: 92.2344, loss: 0.1893 +2023-03-04 06:25:50,730 - mmseg - INFO - Iter [87850/160000] lr: 9.375e-06, eta: 4:17:43, time: 0.168, data_time: 0.007, memory: 52541, decode.loss_ce: 0.1922, decode.acc_seg: 92.1650, loss: 0.1922 +2023-03-04 06:25:59,537 - mmseg - INFO - Iter [87900/160000] lr: 9.375e-06, eta: 4:17:31, time: 0.176, data_time: 0.007, memory: 52541, decode.loss_ce: 0.1813, decode.acc_seg: 92.5167, loss: 0.1813 +2023-03-04 06:26:08,096 - mmseg - INFO - Iter [87950/160000] lr: 9.375e-06, eta: 4:17:18, time: 0.171, data_time: 0.007, memory: 52541, decode.loss_ce: 0.1900, decode.acc_seg: 92.2487, loss: 0.1900 +2023-03-04 06:26:16,455 - mmseg - INFO - Exp name: ablation_segformer_mit_b2_segformer_head_unet_fc_small_multi_step_ade_pretrained_freeze_embed_160k_ade20k151_finetune_ema_winit.py +2023-03-04 06:26:16,455 - mmseg - INFO - Iter [88000/160000] lr: 9.375e-06, eta: 4:17:06, time: 0.167, data_time: 0.007, memory: 52541, decode.loss_ce: 0.1863, decode.acc_seg: 92.2867, loss: 0.1863 +2023-03-04 06:26:24,864 - mmseg - INFO - Iter [88050/160000] lr: 9.375e-06, eta: 4:16:53, time: 0.168, data_time: 0.007, memory: 52541, decode.loss_ce: 0.1911, decode.acc_seg: 92.2018, loss: 0.1911 +2023-03-04 06:26:33,294 - mmseg - INFO - Iter [88100/160000] lr: 9.375e-06, eta: 4:16:41, time: 0.169, data_time: 0.007, memory: 52541, decode.loss_ce: 0.1810, decode.acc_seg: 92.4521, loss: 0.1810 +2023-03-04 06:26:41,670 - mmseg - INFO - Iter [88150/160000] lr: 9.375e-06, eta: 4:16:28, time: 0.168, data_time: 0.007, memory: 52541, decode.loss_ce: 0.1938, decode.acc_seg: 92.0233, loss: 0.1938 +2023-03-04 06:26:50,189 - mmseg - INFO - Iter [88200/160000] lr: 9.375e-06, eta: 4:16:16, time: 0.170, data_time: 0.007, memory: 52541, decode.loss_ce: 0.1912, decode.acc_seg: 92.1386, loss: 0.1912 +2023-03-04 06:26:58,550 - mmseg - INFO - Iter [88250/160000] lr: 9.375e-06, eta: 4:16:03, time: 0.167, data_time: 0.007, memory: 52541, decode.loss_ce: 0.1816, decode.acc_seg: 92.5603, loss: 0.1816 +2023-03-04 06:27:07,021 - mmseg - INFO - Iter [88300/160000] lr: 9.375e-06, eta: 4:15:50, time: 0.169, data_time: 0.007, memory: 52541, decode.loss_ce: 0.1934, decode.acc_seg: 92.1096, loss: 0.1934 +2023-03-04 06:27:18,034 - mmseg - INFO - Iter [88350/160000] lr: 9.375e-06, eta: 4:15:40, time: 0.220, data_time: 0.058, memory: 52541, decode.loss_ce: 0.1877, decode.acc_seg: 92.2715, loss: 0.1877 +2023-03-04 06:27:26,731 - mmseg - INFO - Iter [88400/160000] lr: 9.375e-06, eta: 4:15:28, time: 0.174, data_time: 0.006, memory: 52541, decode.loss_ce: 0.1882, decode.acc_seg: 92.0728, loss: 0.1882 +2023-03-04 06:27:35,727 - mmseg - INFO - Iter [88450/160000] lr: 9.375e-06, eta: 4:15:16, time: 0.180, data_time: 0.007, memory: 52541, decode.loss_ce: 0.1909, decode.acc_seg: 92.2385, loss: 0.1909 +2023-03-04 06:27:44,370 - mmseg - INFO - Iter [88500/160000] lr: 9.375e-06, eta: 4:15:03, time: 0.173, data_time: 0.007, memory: 52541, decode.loss_ce: 0.1831, decode.acc_seg: 92.3919, loss: 0.1831 +2023-03-04 06:27:52,608 - mmseg - INFO - Iter [88550/160000] lr: 9.375e-06, eta: 4:14:50, time: 0.165, data_time: 0.007, memory: 52541, decode.loss_ce: 0.1903, decode.acc_seg: 92.3190, loss: 0.1903 +2023-03-04 06:28:01,575 - mmseg - INFO - Iter [88600/160000] lr: 9.375e-06, eta: 4:14:38, time: 0.179, data_time: 0.008, memory: 52541, decode.loss_ce: 0.1855, decode.acc_seg: 92.4903, loss: 0.1855 +2023-03-04 06:28:09,829 - mmseg - INFO - Iter [88650/160000] lr: 9.375e-06, eta: 4:14:26, time: 0.165, data_time: 0.007, memory: 52541, decode.loss_ce: 0.1889, decode.acc_seg: 92.2066, loss: 0.1889 +2023-03-04 06:28:18,267 - mmseg - INFO - Iter [88700/160000] lr: 9.375e-06, eta: 4:14:13, time: 0.169, data_time: 0.007, memory: 52541, decode.loss_ce: 0.1896, decode.acc_seg: 92.2173, loss: 0.1896 +2023-03-04 06:28:26,871 - mmseg - INFO - Iter [88750/160000] lr: 9.375e-06, eta: 4:14:01, time: 0.172, data_time: 0.007, memory: 52541, decode.loss_ce: 0.1850, decode.acc_seg: 92.3082, loss: 0.1850 +2023-03-04 06:28:35,455 - mmseg - INFO - Iter [88800/160000] lr: 9.375e-06, eta: 4:13:48, time: 0.171, data_time: 0.007, memory: 52541, decode.loss_ce: 0.1893, decode.acc_seg: 92.1002, loss: 0.1893 +2023-03-04 06:28:44,087 - mmseg - INFO - Iter [88850/160000] lr: 9.375e-06, eta: 4:13:36, time: 0.173, data_time: 0.007, memory: 52541, decode.loss_ce: 0.1875, decode.acc_seg: 92.3195, loss: 0.1875 +2023-03-04 06:28:52,851 - mmseg - INFO - Iter [88900/160000] lr: 9.375e-06, eta: 4:13:24, time: 0.176, data_time: 0.007, memory: 52541, decode.loss_ce: 0.1817, decode.acc_seg: 92.5633, loss: 0.1817 +2023-03-04 06:29:01,352 - mmseg - INFO - Iter [88950/160000] lr: 9.375e-06, eta: 4:13:11, time: 0.170, data_time: 0.007, memory: 52541, decode.loss_ce: 0.1792, decode.acc_seg: 92.5445, loss: 0.1792 +2023-03-04 06:29:12,236 - mmseg - INFO - Exp name: ablation_segformer_mit_b2_segformer_head_unet_fc_small_multi_step_ade_pretrained_freeze_embed_160k_ade20k151_finetune_ema_winit.py +2023-03-04 06:29:12,237 - mmseg - INFO - Iter [89000/160000] lr: 9.375e-06, eta: 4:13:01, time: 0.218, data_time: 0.054, memory: 52541, decode.loss_ce: 0.1932, decode.acc_seg: 91.9902, loss: 0.1932 +2023-03-04 06:29:20,635 - mmseg - INFO - Iter [89050/160000] lr: 9.375e-06, eta: 4:12:48, time: 0.168, data_time: 0.007, memory: 52541, decode.loss_ce: 0.1818, decode.acc_seg: 92.5883, loss: 0.1818 +2023-03-04 06:29:29,030 - mmseg - INFO - Iter [89100/160000] lr: 9.375e-06, eta: 4:12:36, time: 0.168, data_time: 0.007, memory: 52541, decode.loss_ce: 0.1911, decode.acc_seg: 92.1102, loss: 0.1911 +2023-03-04 06:29:37,773 - mmseg - INFO - Iter [89150/160000] lr: 9.375e-06, eta: 4:12:24, time: 0.175, data_time: 0.007, memory: 52541, decode.loss_ce: 0.1906, decode.acc_seg: 92.0891, loss: 0.1906 +2023-03-04 06:29:46,222 - mmseg - INFO - Iter [89200/160000] lr: 9.375e-06, eta: 4:12:11, time: 0.169, data_time: 0.007, memory: 52541, decode.loss_ce: 0.1877, decode.acc_seg: 92.3065, loss: 0.1877 +2023-03-04 06:29:54,893 - mmseg - INFO - Iter [89250/160000] lr: 9.375e-06, eta: 4:11:59, time: 0.173, data_time: 0.007, memory: 52541, decode.loss_ce: 0.1903, decode.acc_seg: 92.2194, loss: 0.1903 +2023-03-04 06:30:03,102 - mmseg - INFO - Iter [89300/160000] lr: 9.375e-06, eta: 4:11:46, time: 0.164, data_time: 0.007, memory: 52541, decode.loss_ce: 0.1830, decode.acc_seg: 92.3712, loss: 0.1830 +2023-03-04 06:30:11,439 - mmseg - INFO - Iter [89350/160000] lr: 9.375e-06, eta: 4:11:34, time: 0.167, data_time: 0.007, memory: 52541, decode.loss_ce: 0.1888, decode.acc_seg: 92.2368, loss: 0.1888 +2023-03-04 06:30:20,037 - mmseg - INFO - Iter [89400/160000] lr: 9.375e-06, eta: 4:11:21, time: 0.172, data_time: 0.007, memory: 52541, decode.loss_ce: 0.1897, decode.acc_seg: 92.2810, loss: 0.1897 +2023-03-04 06:30:28,651 - mmseg - INFO - Iter [89450/160000] lr: 9.375e-06, eta: 4:11:09, time: 0.172, data_time: 0.007, memory: 52541, decode.loss_ce: 0.1910, decode.acc_seg: 92.1504, loss: 0.1910 +2023-03-04 06:30:37,487 - mmseg - INFO - Iter [89500/160000] lr: 9.375e-06, eta: 4:10:57, time: 0.177, data_time: 0.007, memory: 52541, decode.loss_ce: 0.1891, decode.acc_seg: 92.1885, loss: 0.1891 +2023-03-04 06:30:45,908 - mmseg - INFO - Iter [89550/160000] lr: 9.375e-06, eta: 4:10:44, time: 0.169, data_time: 0.007, memory: 52541, decode.loss_ce: 0.1788, decode.acc_seg: 92.6836, loss: 0.1788 +2023-03-04 06:30:54,324 - mmseg - INFO - Iter [89600/160000] lr: 9.375e-06, eta: 4:10:32, time: 0.168, data_time: 0.007, memory: 52541, decode.loss_ce: 0.1879, decode.acc_seg: 92.3147, loss: 0.1879 +2023-03-04 06:31:05,646 - mmseg - INFO - Iter [89650/160000] lr: 9.375e-06, eta: 4:10:22, time: 0.226, data_time: 0.055, memory: 52541, decode.loss_ce: 0.1843, decode.acc_seg: 92.4775, loss: 0.1843 +2023-03-04 06:31:13,953 - mmseg - INFO - Iter [89700/160000] lr: 9.375e-06, eta: 4:10:09, time: 0.166, data_time: 0.007, memory: 52541, decode.loss_ce: 0.1886, decode.acc_seg: 92.2329, loss: 0.1886 +2023-03-04 06:31:22,385 - mmseg - INFO - Iter [89750/160000] lr: 9.375e-06, eta: 4:09:57, time: 0.169, data_time: 0.007, memory: 52541, decode.loss_ce: 0.1864, decode.acc_seg: 92.3769, loss: 0.1864 +2023-03-04 06:31:30,854 - mmseg - INFO - Iter [89800/160000] lr: 9.375e-06, eta: 4:09:44, time: 0.169, data_time: 0.007, memory: 52541, decode.loss_ce: 0.1801, decode.acc_seg: 92.5072, loss: 0.1801 +2023-03-04 06:31:39,417 - mmseg - INFO - Iter [89850/160000] lr: 9.375e-06, eta: 4:09:32, time: 0.171, data_time: 0.007, memory: 52541, decode.loss_ce: 0.1901, decode.acc_seg: 92.2329, loss: 0.1901 +2023-03-04 06:31:47,592 - mmseg - INFO - Iter [89900/160000] lr: 9.375e-06, eta: 4:09:20, time: 0.164, data_time: 0.007, memory: 52541, decode.loss_ce: 0.1860, decode.acc_seg: 92.4060, loss: 0.1860 +2023-03-04 06:31:56,241 - mmseg - INFO - Iter [89950/160000] lr: 9.375e-06, eta: 4:09:07, time: 0.173, data_time: 0.008, memory: 52541, decode.loss_ce: 0.1914, decode.acc_seg: 92.1992, loss: 0.1914 +2023-03-04 06:32:04,565 - mmseg - INFO - Exp name: ablation_segformer_mit_b2_segformer_head_unet_fc_small_multi_step_ade_pretrained_freeze_embed_160k_ade20k151_finetune_ema_winit.py +2023-03-04 06:32:04,565 - mmseg - INFO - Iter [90000/160000] lr: 9.375e-06, eta: 4:08:55, time: 0.167, data_time: 0.007, memory: 52541, decode.loss_ce: 0.1899, decode.acc_seg: 92.2192, loss: 0.1899 +2023-03-04 06:32:13,193 - mmseg - INFO - Iter [90050/160000] lr: 9.375e-06, eta: 4:08:43, time: 0.173, data_time: 0.007, memory: 52541, decode.loss_ce: 0.1799, decode.acc_seg: 92.5314, loss: 0.1799 +2023-03-04 06:32:22,004 - mmseg - INFO - Iter [90100/160000] lr: 9.375e-06, eta: 4:08:30, time: 0.176, data_time: 0.006, memory: 52541, decode.loss_ce: 0.1913, decode.acc_seg: 92.1305, loss: 0.1913 +2023-03-04 06:32:30,749 - mmseg - INFO - Iter [90150/160000] lr: 9.375e-06, eta: 4:08:18, time: 0.175, data_time: 0.007, memory: 52541, decode.loss_ce: 0.1858, decode.acc_seg: 92.3500, loss: 0.1858 +2023-03-04 06:32:39,289 - mmseg - INFO - Iter [90200/160000] lr: 9.375e-06, eta: 4:08:06, time: 0.171, data_time: 0.007, memory: 52541, decode.loss_ce: 0.1923, decode.acc_seg: 92.0827, loss: 0.1923 +2023-03-04 06:32:50,422 - mmseg - INFO - Iter [90250/160000] lr: 9.375e-06, eta: 4:07:56, time: 0.223, data_time: 0.058, memory: 52541, decode.loss_ce: 0.1931, decode.acc_seg: 92.0656, loss: 0.1931 +2023-03-04 06:32:58,908 - mmseg - INFO - Iter [90300/160000] lr: 9.375e-06, eta: 4:07:43, time: 0.170, data_time: 0.007, memory: 52541, decode.loss_ce: 0.1927, decode.acc_seg: 92.0076, loss: 0.1927 +2023-03-04 06:33:07,422 - mmseg - INFO - Iter [90350/160000] lr: 9.375e-06, eta: 4:07:31, time: 0.170, data_time: 0.007, memory: 52541, decode.loss_ce: 0.1878, decode.acc_seg: 92.2142, loss: 0.1878 +2023-03-04 06:33:16,089 - mmseg - INFO - Iter [90400/160000] lr: 9.375e-06, eta: 4:07:19, time: 0.173, data_time: 0.007, memory: 52541, decode.loss_ce: 0.1906, decode.acc_seg: 92.1101, loss: 0.1906 +2023-03-04 06:33:24,602 - mmseg - INFO - Iter [90450/160000] lr: 9.375e-06, eta: 4:07:06, time: 0.170, data_time: 0.007, memory: 52541, decode.loss_ce: 0.1878, decode.acc_seg: 92.2339, loss: 0.1878 +2023-03-04 06:33:32,922 - mmseg - INFO - Iter [90500/160000] lr: 9.375e-06, eta: 4:06:54, time: 0.166, data_time: 0.007, memory: 52541, decode.loss_ce: 0.1876, decode.acc_seg: 92.3447, loss: 0.1876 +2023-03-04 06:33:41,364 - mmseg - INFO - Iter [90550/160000] lr: 9.375e-06, eta: 4:06:42, time: 0.169, data_time: 0.007, memory: 52541, decode.loss_ce: 0.1855, decode.acc_seg: 92.3604, loss: 0.1855 +2023-03-04 06:33:49,611 - mmseg - INFO - Iter [90600/160000] lr: 9.375e-06, eta: 4:06:29, time: 0.165, data_time: 0.007, memory: 52541, decode.loss_ce: 0.1858, decode.acc_seg: 92.2878, loss: 0.1858 +2023-03-04 06:33:58,151 - mmseg - INFO - Iter [90650/160000] lr: 9.375e-06, eta: 4:06:17, time: 0.171, data_time: 0.007, memory: 52541, decode.loss_ce: 0.1818, decode.acc_seg: 92.6439, loss: 0.1818 +2023-03-04 06:34:06,931 - mmseg - INFO - Iter [90700/160000] lr: 9.375e-06, eta: 4:06:05, time: 0.176, data_time: 0.007, memory: 52541, decode.loss_ce: 0.1878, decode.acc_seg: 92.3883, loss: 0.1878 +2023-03-04 06:34:15,587 - mmseg - INFO - Iter [90750/160000] lr: 9.375e-06, eta: 4:05:53, time: 0.173, data_time: 0.007, memory: 52541, decode.loss_ce: 0.1944, decode.acc_seg: 92.0208, loss: 0.1944 +2023-03-04 06:34:23,972 - mmseg - INFO - Iter [90800/160000] lr: 9.375e-06, eta: 4:05:40, time: 0.168, data_time: 0.007, memory: 52541, decode.loss_ce: 0.1817, decode.acc_seg: 92.5248, loss: 0.1817 +2023-03-04 06:34:32,736 - mmseg - INFO - Iter [90850/160000] lr: 9.375e-06, eta: 4:05:28, time: 0.175, data_time: 0.007, memory: 52541, decode.loss_ce: 0.1835, decode.acc_seg: 92.4463, loss: 0.1835 +2023-03-04 06:34:43,749 - mmseg - INFO - Iter [90900/160000] lr: 9.375e-06, eta: 4:05:18, time: 0.220, data_time: 0.056, memory: 52541, decode.loss_ce: 0.1832, decode.acc_seg: 92.3768, loss: 0.1832 +2023-03-04 06:34:52,818 - mmseg - INFO - Iter [90950/160000] lr: 9.375e-06, eta: 4:05:06, time: 0.181, data_time: 0.007, memory: 52541, decode.loss_ce: 0.1860, decode.acc_seg: 92.2839, loss: 0.1860 +2023-03-04 06:35:01,474 - mmseg - INFO - Exp name: ablation_segformer_mit_b2_segformer_head_unet_fc_small_multi_step_ade_pretrained_freeze_embed_160k_ade20k151_finetune_ema_winit.py +2023-03-04 06:35:01,474 - mmseg - INFO - Iter [91000/160000] lr: 9.375e-06, eta: 4:04:54, time: 0.173, data_time: 0.007, memory: 52541, decode.loss_ce: 0.1868, decode.acc_seg: 92.4232, loss: 0.1868 +2023-03-04 06:35:10,203 - mmseg - INFO - Iter [91050/160000] lr: 9.375e-06, eta: 4:04:42, time: 0.175, data_time: 0.007, memory: 52541, decode.loss_ce: 0.1879, decode.acc_seg: 92.2098, loss: 0.1879 +2023-03-04 06:35:18,465 - mmseg - INFO - Iter [91100/160000] lr: 9.375e-06, eta: 4:04:29, time: 0.165, data_time: 0.007, memory: 52541, decode.loss_ce: 0.1939, decode.acc_seg: 92.0175, loss: 0.1939 +2023-03-04 06:35:26,861 - mmseg - INFO - Iter [91150/160000] lr: 9.375e-06, eta: 4:04:17, time: 0.168, data_time: 0.007, memory: 52541, decode.loss_ce: 0.1967, decode.acc_seg: 91.8476, loss: 0.1967 +2023-03-04 06:35:35,862 - mmseg - INFO - Iter [91200/160000] lr: 9.375e-06, eta: 4:04:05, time: 0.180, data_time: 0.007, memory: 52541, decode.loss_ce: 0.1827, decode.acc_seg: 92.5478, loss: 0.1827 +2023-03-04 06:35:44,399 - mmseg - INFO - Iter [91250/160000] lr: 9.375e-06, eta: 4:03:53, time: 0.171, data_time: 0.007, memory: 52541, decode.loss_ce: 0.1958, decode.acc_seg: 92.1255, loss: 0.1958 +2023-03-04 06:35:53,038 - mmseg - INFO - Iter [91300/160000] lr: 9.375e-06, eta: 4:03:41, time: 0.173, data_time: 0.008, memory: 52541, decode.loss_ce: 0.1779, decode.acc_seg: 92.6744, loss: 0.1779 +2023-03-04 06:36:01,472 - mmseg - INFO - Iter [91350/160000] lr: 9.375e-06, eta: 4:03:28, time: 0.169, data_time: 0.007, memory: 52541, decode.loss_ce: 0.1935, decode.acc_seg: 92.0316, loss: 0.1935 +2023-03-04 06:36:09,957 - mmseg - INFO - Iter [91400/160000] lr: 9.375e-06, eta: 4:03:16, time: 0.170, data_time: 0.007, memory: 52541, decode.loss_ce: 0.1873, decode.acc_seg: 92.2569, loss: 0.1873 +2023-03-04 06:36:18,287 - mmseg - INFO - Iter [91450/160000] lr: 9.375e-06, eta: 4:03:04, time: 0.167, data_time: 0.007, memory: 52541, decode.loss_ce: 0.1793, decode.acc_seg: 92.5630, loss: 0.1793 +2023-03-04 06:36:29,442 - mmseg - INFO - Iter [91500/160000] lr: 9.375e-06, eta: 4:02:53, time: 0.223, data_time: 0.054, memory: 52541, decode.loss_ce: 0.1924, decode.acc_seg: 92.3153, loss: 0.1924 +2023-03-04 06:36:37,858 - mmseg - INFO - Iter [91550/160000] lr: 9.375e-06, eta: 4:02:41, time: 0.168, data_time: 0.007, memory: 52541, decode.loss_ce: 0.1920, decode.acc_seg: 92.1445, loss: 0.1920 +2023-03-04 06:36:46,496 - mmseg - INFO - Iter [91600/160000] lr: 9.375e-06, eta: 4:02:29, time: 0.173, data_time: 0.008, memory: 52541, decode.loss_ce: 0.1862, decode.acc_seg: 92.3210, loss: 0.1862 +2023-03-04 06:36:55,015 - mmseg - INFO - Iter [91650/160000] lr: 9.375e-06, eta: 4:02:17, time: 0.170, data_time: 0.007, memory: 52541, decode.loss_ce: 0.1772, decode.acc_seg: 92.6308, loss: 0.1772 +2023-03-04 06:37:03,384 - mmseg - INFO - Iter [91700/160000] lr: 9.375e-06, eta: 4:02:04, time: 0.167, data_time: 0.007, memory: 52541, decode.loss_ce: 0.1873, decode.acc_seg: 92.2192, loss: 0.1873 +2023-03-04 06:37:12,052 - mmseg - INFO - Iter [91750/160000] lr: 9.375e-06, eta: 4:01:52, time: 0.173, data_time: 0.007, memory: 52541, decode.loss_ce: 0.1827, decode.acc_seg: 92.4504, loss: 0.1827 +2023-03-04 06:37:20,461 - mmseg - INFO - Iter [91800/160000] lr: 9.375e-06, eta: 4:01:40, time: 0.168, data_time: 0.008, memory: 52541, decode.loss_ce: 0.1909, decode.acc_seg: 92.1352, loss: 0.1909 +2023-03-04 06:37:29,090 - mmseg - INFO - Iter [91850/160000] lr: 9.375e-06, eta: 4:01:28, time: 0.173, data_time: 0.007, memory: 52541, decode.loss_ce: 0.1839, decode.acc_seg: 92.4951, loss: 0.1839 +2023-03-04 06:37:37,686 - mmseg - INFO - Iter [91900/160000] lr: 9.375e-06, eta: 4:01:16, time: 0.172, data_time: 0.008, memory: 52541, decode.loss_ce: 0.1985, decode.acc_seg: 91.9523, loss: 0.1985 +2023-03-04 06:37:46,388 - mmseg - INFO - Iter [91950/160000] lr: 9.375e-06, eta: 4:01:04, time: 0.174, data_time: 0.008, memory: 52541, decode.loss_ce: 0.1909, decode.acc_seg: 92.2795, loss: 0.1909 +2023-03-04 06:37:54,958 - mmseg - INFO - Exp name: ablation_segformer_mit_b2_segformer_head_unet_fc_small_multi_step_ade_pretrained_freeze_embed_160k_ade20k151_finetune_ema_winit.py +2023-03-04 06:37:54,958 - mmseg - INFO - Iter [92000/160000] lr: 9.375e-06, eta: 4:00:52, time: 0.171, data_time: 0.007, memory: 52541, decode.loss_ce: 0.1837, decode.acc_seg: 92.4765, loss: 0.1837 +2023-03-04 06:38:03,647 - mmseg - INFO - Iter [92050/160000] lr: 9.375e-06, eta: 4:00:40, time: 0.174, data_time: 0.007, memory: 52541, decode.loss_ce: 0.1834, decode.acc_seg: 92.5562, loss: 0.1834 +2023-03-04 06:38:12,140 - mmseg - INFO - Iter [92100/160000] lr: 9.375e-06, eta: 4:00:27, time: 0.170, data_time: 0.007, memory: 52541, decode.loss_ce: 0.1839, decode.acc_seg: 92.3746, loss: 0.1839 +2023-03-04 06:38:23,191 - mmseg - INFO - Iter [92150/160000] lr: 9.375e-06, eta: 4:00:17, time: 0.221, data_time: 0.056, memory: 52541, decode.loss_ce: 0.1791, decode.acc_seg: 92.5344, loss: 0.1791 +2023-03-04 06:38:31,712 - mmseg - INFO - Iter [92200/160000] lr: 9.375e-06, eta: 4:00:05, time: 0.170, data_time: 0.007, memory: 52541, decode.loss_ce: 0.1998, decode.acc_seg: 91.7380, loss: 0.1998 +2023-03-04 06:38:40,146 - mmseg - INFO - Iter [92250/160000] lr: 9.375e-06, eta: 3:59:53, time: 0.168, data_time: 0.007, memory: 52541, decode.loss_ce: 0.1880, decode.acc_seg: 92.3876, loss: 0.1880 +2023-03-04 06:38:48,696 - mmseg - INFO - Iter [92300/160000] lr: 9.375e-06, eta: 3:59:41, time: 0.171, data_time: 0.007, memory: 52541, decode.loss_ce: 0.1908, decode.acc_seg: 92.0323, loss: 0.1908 +2023-03-04 06:38:57,142 - mmseg - INFO - Iter [92350/160000] lr: 9.375e-06, eta: 3:59:28, time: 0.169, data_time: 0.007, memory: 52541, decode.loss_ce: 0.1846, decode.acc_seg: 92.4009, loss: 0.1846 +2023-03-04 06:39:05,638 - mmseg - INFO - Iter [92400/160000] lr: 9.375e-06, eta: 3:59:16, time: 0.170, data_time: 0.007, memory: 52541, decode.loss_ce: 0.1894, decode.acc_seg: 92.1690, loss: 0.1894 +2023-03-04 06:39:14,027 - mmseg - INFO - Iter [92450/160000] lr: 9.375e-06, eta: 3:59:04, time: 0.168, data_time: 0.007, memory: 52541, decode.loss_ce: 0.1893, decode.acc_seg: 92.2741, loss: 0.1893 +2023-03-04 06:39:23,026 - mmseg - INFO - Iter [92500/160000] lr: 9.375e-06, eta: 3:58:52, time: 0.180, data_time: 0.007, memory: 52541, decode.loss_ce: 0.1877, decode.acc_seg: 92.1266, loss: 0.1877 +2023-03-04 06:39:31,803 - mmseg - INFO - Iter [92550/160000] lr: 9.375e-06, eta: 3:58:40, time: 0.176, data_time: 0.007, memory: 52541, decode.loss_ce: 0.1820, decode.acc_seg: 92.5433, loss: 0.1820 +2023-03-04 06:39:40,406 - mmseg - INFO - Iter [92600/160000] lr: 9.375e-06, eta: 3:58:28, time: 0.172, data_time: 0.007, memory: 52541, decode.loss_ce: 0.1957, decode.acc_seg: 92.1974, loss: 0.1957 +2023-03-04 06:39:49,403 - mmseg - INFO - Iter [92650/160000] lr: 9.375e-06, eta: 3:58:16, time: 0.180, data_time: 0.007, memory: 52541, decode.loss_ce: 0.1884, decode.acc_seg: 92.2454, loss: 0.1884 +2023-03-04 06:39:58,270 - mmseg - INFO - Iter [92700/160000] lr: 9.375e-06, eta: 3:58:04, time: 0.177, data_time: 0.007, memory: 52541, decode.loss_ce: 0.1843, decode.acc_seg: 92.4560, loss: 0.1843 +2023-03-04 06:40:06,851 - mmseg - INFO - Iter [92750/160000] lr: 9.375e-06, eta: 3:57:52, time: 0.172, data_time: 0.007, memory: 52541, decode.loss_ce: 0.1904, decode.acc_seg: 92.2369, loss: 0.1904 +2023-03-04 06:40:17,662 - mmseg - INFO - Iter [92800/160000] lr: 9.375e-06, eta: 3:57:42, time: 0.216, data_time: 0.053, memory: 52541, decode.loss_ce: 0.1811, decode.acc_seg: 92.5133, loss: 0.1811 +2023-03-04 06:40:26,361 - mmseg - INFO - Iter [92850/160000] lr: 9.375e-06, eta: 3:57:30, time: 0.174, data_time: 0.008, memory: 52541, decode.loss_ce: 0.1953, decode.acc_seg: 92.0437, loss: 0.1953 +2023-03-04 06:40:35,019 - mmseg - INFO - Iter [92900/160000] lr: 9.375e-06, eta: 3:57:18, time: 0.173, data_time: 0.007, memory: 52541, decode.loss_ce: 0.1899, decode.acc_seg: 92.0755, loss: 0.1899 +2023-03-04 06:40:43,396 - mmseg - INFO - Iter [92950/160000] lr: 9.375e-06, eta: 3:57:06, time: 0.168, data_time: 0.008, memory: 52541, decode.loss_ce: 0.1865, decode.acc_seg: 92.3830, loss: 0.1865 +2023-03-04 06:40:51,779 - mmseg - INFO - Exp name: ablation_segformer_mit_b2_segformer_head_unet_fc_small_multi_step_ade_pretrained_freeze_embed_160k_ade20k151_finetune_ema_winit.py +2023-03-04 06:40:51,779 - mmseg - INFO - Iter [93000/160000] lr: 9.375e-06, eta: 3:56:53, time: 0.168, data_time: 0.007, memory: 52541, decode.loss_ce: 0.1838, decode.acc_seg: 92.3671, loss: 0.1838 +2023-03-04 06:41:00,186 - mmseg - INFO - Iter [93050/160000] lr: 9.375e-06, eta: 3:56:41, time: 0.168, data_time: 0.007, memory: 52541, decode.loss_ce: 0.1900, decode.acc_seg: 92.1846, loss: 0.1900 +2023-03-04 06:41:09,419 - mmseg - INFO - Iter [93100/160000] lr: 9.375e-06, eta: 3:56:30, time: 0.185, data_time: 0.009, memory: 52541, decode.loss_ce: 0.1935, decode.acc_seg: 92.0523, loss: 0.1935 +2023-03-04 06:41:17,901 - mmseg - INFO - Iter [93150/160000] lr: 9.375e-06, eta: 3:56:17, time: 0.170, data_time: 0.007, memory: 52541, decode.loss_ce: 0.1845, decode.acc_seg: 92.3528, loss: 0.1845 +2023-03-04 06:41:26,648 - mmseg - INFO - Iter [93200/160000] lr: 9.375e-06, eta: 3:56:06, time: 0.175, data_time: 0.007, memory: 52541, decode.loss_ce: 0.1886, decode.acc_seg: 92.3122, loss: 0.1886 +2023-03-04 06:41:35,242 - mmseg - INFO - Iter [93250/160000] lr: 9.375e-06, eta: 3:55:53, time: 0.172, data_time: 0.008, memory: 52541, decode.loss_ce: 0.1837, decode.acc_seg: 92.3668, loss: 0.1837 +2023-03-04 06:41:43,710 - mmseg - INFO - Iter [93300/160000] lr: 9.375e-06, eta: 3:55:41, time: 0.169, data_time: 0.007, memory: 52541, decode.loss_ce: 0.1984, decode.acc_seg: 91.8951, loss: 0.1984 +2023-03-04 06:41:52,142 - mmseg - INFO - Iter [93350/160000] lr: 9.375e-06, eta: 3:55:29, time: 0.169, data_time: 0.007, memory: 52541, decode.loss_ce: 0.1855, decode.acc_seg: 92.2967, loss: 0.1855 +2023-03-04 06:42:03,103 - mmseg - INFO - Iter [93400/160000] lr: 9.375e-06, eta: 3:55:19, time: 0.219, data_time: 0.055, memory: 52541, decode.loss_ce: 0.1744, decode.acc_seg: 92.8356, loss: 0.1744 +2023-03-04 06:42:11,357 - mmseg - INFO - Iter [93450/160000] lr: 9.375e-06, eta: 3:55:07, time: 0.165, data_time: 0.007, memory: 52541, decode.loss_ce: 0.1862, decode.acc_seg: 92.3650, loss: 0.1862 +2023-03-04 06:42:19,696 - mmseg - INFO - Iter [93500/160000] lr: 9.375e-06, eta: 3:54:54, time: 0.167, data_time: 0.007, memory: 52541, decode.loss_ce: 0.1870, decode.acc_seg: 92.2166, loss: 0.1870 +2023-03-04 06:42:28,253 - mmseg - INFO - Iter [93550/160000] lr: 9.375e-06, eta: 3:54:42, time: 0.171, data_time: 0.007, memory: 52541, decode.loss_ce: 0.1861, decode.acc_seg: 92.3962, loss: 0.1861 +2023-03-04 06:42:36,900 - mmseg - INFO - Iter [93600/160000] lr: 9.375e-06, eta: 3:54:30, time: 0.173, data_time: 0.007, memory: 52541, decode.loss_ce: 0.1913, decode.acc_seg: 92.0754, loss: 0.1913 +2023-03-04 06:42:45,314 - mmseg - INFO - Iter [93650/160000] lr: 9.375e-06, eta: 3:54:18, time: 0.168, data_time: 0.007, memory: 52541, decode.loss_ce: 0.1935, decode.acc_seg: 92.1610, loss: 0.1935 +2023-03-04 06:42:53,609 - mmseg - INFO - Iter [93700/160000] lr: 9.375e-06, eta: 3:54:06, time: 0.166, data_time: 0.007, memory: 52541, decode.loss_ce: 0.1860, decode.acc_seg: 92.2066, loss: 0.1860 +2023-03-04 06:43:02,217 - mmseg - INFO - Iter [93750/160000] lr: 9.375e-06, eta: 3:53:54, time: 0.172, data_time: 0.008, memory: 52541, decode.loss_ce: 0.1869, decode.acc_seg: 92.3197, loss: 0.1869 +2023-03-04 06:43:10,949 - mmseg - INFO - Iter [93800/160000] lr: 9.375e-06, eta: 3:53:42, time: 0.175, data_time: 0.007, memory: 52541, decode.loss_ce: 0.1839, decode.acc_seg: 92.4200, loss: 0.1839 +2023-03-04 06:43:19,418 - mmseg - INFO - Iter [93850/160000] lr: 9.375e-06, eta: 3:53:30, time: 0.169, data_time: 0.008, memory: 52541, decode.loss_ce: 0.1838, decode.acc_seg: 92.5778, loss: 0.1838 +2023-03-04 06:43:28,043 - mmseg - INFO - Iter [93900/160000] lr: 9.375e-06, eta: 3:53:18, time: 0.173, data_time: 0.007, memory: 52541, decode.loss_ce: 0.1851, decode.acc_seg: 92.4003, loss: 0.1851 +2023-03-04 06:43:37,030 - mmseg - INFO - Iter [93950/160000] lr: 9.375e-06, eta: 3:53:06, time: 0.180, data_time: 0.009, memory: 52541, decode.loss_ce: 0.1924, decode.acc_seg: 92.1852, loss: 0.1924 +2023-03-04 06:43:45,796 - mmseg - INFO - Exp name: ablation_segformer_mit_b2_segformer_head_unet_fc_small_multi_step_ade_pretrained_freeze_embed_160k_ade20k151_finetune_ema_winit.py +2023-03-04 06:43:45,796 - mmseg - INFO - Iter [94000/160000] lr: 9.375e-06, eta: 3:52:54, time: 0.175, data_time: 0.007, memory: 52541, decode.loss_ce: 0.1864, decode.acc_seg: 92.3827, loss: 0.1864 +2023-03-04 06:43:56,797 - mmseg - INFO - Iter [94050/160000] lr: 9.375e-06, eta: 3:52:44, time: 0.220, data_time: 0.055, memory: 52541, decode.loss_ce: 0.1815, decode.acc_seg: 92.3611, loss: 0.1815 +2023-03-04 06:44:05,558 - mmseg - INFO - Iter [94100/160000] lr: 9.375e-06, eta: 3:52:32, time: 0.175, data_time: 0.007, memory: 52541, decode.loss_ce: 0.1893, decode.acc_seg: 92.2404, loss: 0.1893 +2023-03-04 06:44:14,084 - mmseg - INFO - Iter [94150/160000] lr: 9.375e-06, eta: 3:52:20, time: 0.171, data_time: 0.007, memory: 52541, decode.loss_ce: 0.1863, decode.acc_seg: 92.2366, loss: 0.1863 +2023-03-04 06:44:22,494 - mmseg - INFO - Iter [94200/160000] lr: 9.375e-06, eta: 3:52:08, time: 0.168, data_time: 0.007, memory: 52541, decode.loss_ce: 0.1843, decode.acc_seg: 92.4082, loss: 0.1843 +2023-03-04 06:44:30,814 - mmseg - INFO - Iter [94250/160000] lr: 9.375e-06, eta: 3:51:56, time: 0.166, data_time: 0.007, memory: 52541, decode.loss_ce: 0.1879, decode.acc_seg: 92.1795, loss: 0.1879 +2023-03-04 06:44:39,195 - mmseg - INFO - Iter [94300/160000] lr: 9.375e-06, eta: 3:51:44, time: 0.168, data_time: 0.007, memory: 52541, decode.loss_ce: 0.1787, decode.acc_seg: 92.6189, loss: 0.1787 +2023-03-04 06:44:47,460 - mmseg - INFO - Iter [94350/160000] lr: 9.375e-06, eta: 3:51:32, time: 0.165, data_time: 0.007, memory: 52541, decode.loss_ce: 0.1855, decode.acc_seg: 92.3982, loss: 0.1855 +2023-03-04 06:44:55,999 - mmseg - INFO - Iter [94400/160000] lr: 9.375e-06, eta: 3:51:20, time: 0.171, data_time: 0.007, memory: 52541, decode.loss_ce: 0.1889, decode.acc_seg: 92.2119, loss: 0.1889 +2023-03-04 06:45:04,404 - mmseg - INFO - Iter [94450/160000] lr: 9.375e-06, eta: 3:51:08, time: 0.168, data_time: 0.007, memory: 52541, decode.loss_ce: 0.1841, decode.acc_seg: 92.3508, loss: 0.1841 +2023-03-04 06:45:12,761 - mmseg - INFO - Iter [94500/160000] lr: 9.375e-06, eta: 3:50:55, time: 0.167, data_time: 0.007, memory: 52541, decode.loss_ce: 0.1928, decode.acc_seg: 92.1890, loss: 0.1928 +2023-03-04 06:45:21,009 - mmseg - INFO - Iter [94550/160000] lr: 9.375e-06, eta: 3:50:43, time: 0.165, data_time: 0.007, memory: 52541, decode.loss_ce: 0.1946, decode.acc_seg: 91.9690, loss: 0.1946 +2023-03-04 06:45:29,225 - mmseg - INFO - Iter [94600/160000] lr: 9.375e-06, eta: 3:50:31, time: 0.164, data_time: 0.007, memory: 52541, decode.loss_ce: 0.1784, decode.acc_seg: 92.5187, loss: 0.1784 +2023-03-04 06:45:37,890 - mmseg - INFO - Iter [94650/160000] lr: 9.375e-06, eta: 3:50:19, time: 0.174, data_time: 0.007, memory: 52541, decode.loss_ce: 0.1788, decode.acc_seg: 92.5793, loss: 0.1788 +2023-03-04 06:45:49,145 - mmseg - INFO - Iter [94700/160000] lr: 9.375e-06, eta: 3:50:09, time: 0.225, data_time: 0.056, memory: 52541, decode.loss_ce: 0.1850, decode.acc_seg: 92.3068, loss: 0.1850 +2023-03-04 06:45:57,619 - mmseg - INFO - Iter [94750/160000] lr: 9.375e-06, eta: 3:49:57, time: 0.169, data_time: 0.007, memory: 52541, decode.loss_ce: 0.1810, decode.acc_seg: 92.5354, loss: 0.1810 +2023-03-04 06:46:06,123 - mmseg - INFO - Iter [94800/160000] lr: 9.375e-06, eta: 3:49:45, time: 0.170, data_time: 0.007, memory: 52541, decode.loss_ce: 0.1873, decode.acc_seg: 92.2946, loss: 0.1873 +2023-03-04 06:46:14,573 - mmseg - INFO - Iter [94850/160000] lr: 9.375e-06, eta: 3:49:33, time: 0.169, data_time: 0.007, memory: 52541, decode.loss_ce: 0.1849, decode.acc_seg: 92.4649, loss: 0.1849 +2023-03-04 06:46:22,972 - mmseg - INFO - Iter [94900/160000] lr: 9.375e-06, eta: 3:49:21, time: 0.168, data_time: 0.007, memory: 52541, decode.loss_ce: 0.1890, decode.acc_seg: 92.2420, loss: 0.1890 +2023-03-04 06:46:31,481 - mmseg - INFO - Iter [94950/160000] lr: 9.375e-06, eta: 3:49:09, time: 0.170, data_time: 0.007, memory: 52541, decode.loss_ce: 0.1939, decode.acc_seg: 92.1077, loss: 0.1939 +2023-03-04 06:46:40,141 - mmseg - INFO - Exp name: ablation_segformer_mit_b2_segformer_head_unet_fc_small_multi_step_ade_pretrained_freeze_embed_160k_ade20k151_finetune_ema_winit.py +2023-03-04 06:46:40,142 - mmseg - INFO - Iter [95000/160000] lr: 9.375e-06, eta: 3:48:57, time: 0.173, data_time: 0.007, memory: 52541, decode.loss_ce: 0.1837, decode.acc_seg: 92.3452, loss: 0.1837 +2023-03-04 06:46:48,835 - mmseg - INFO - Iter [95050/160000] lr: 9.375e-06, eta: 3:48:45, time: 0.174, data_time: 0.007, memory: 52541, decode.loss_ce: 0.1827, decode.acc_seg: 92.5351, loss: 0.1827 +2023-03-04 06:46:57,563 - mmseg - INFO - Iter [95100/160000] lr: 9.375e-06, eta: 3:48:33, time: 0.175, data_time: 0.008, memory: 52541, decode.loss_ce: 0.1832, decode.acc_seg: 92.3813, loss: 0.1832 +2023-03-04 06:47:05,910 - mmseg - INFO - Iter [95150/160000] lr: 9.375e-06, eta: 3:48:21, time: 0.167, data_time: 0.007, memory: 52541, decode.loss_ce: 0.1881, decode.acc_seg: 92.2426, loss: 0.1881 +2023-03-04 06:47:14,408 - mmseg - INFO - Iter [95200/160000] lr: 9.375e-06, eta: 3:48:09, time: 0.170, data_time: 0.007, memory: 52541, decode.loss_ce: 0.1859, decode.acc_seg: 92.2850, loss: 0.1859 +2023-03-04 06:47:22,666 - mmseg - INFO - Iter [95250/160000] lr: 9.375e-06, eta: 3:47:57, time: 0.165, data_time: 0.007, memory: 52541, decode.loss_ce: 0.1879, decode.acc_seg: 92.3223, loss: 0.1879 +2023-03-04 06:47:33,797 - mmseg - INFO - Iter [95300/160000] lr: 9.375e-06, eta: 3:47:47, time: 0.223, data_time: 0.057, memory: 52541, decode.loss_ce: 0.1888, decode.acc_seg: 92.1829, loss: 0.1888 +2023-03-04 06:47:42,119 - mmseg - INFO - Iter [95350/160000] lr: 9.375e-06, eta: 3:47:35, time: 0.166, data_time: 0.007, memory: 52541, decode.loss_ce: 0.1914, decode.acc_seg: 92.1031, loss: 0.1914 +2023-03-04 06:47:50,528 - mmseg - INFO - Iter [95400/160000] lr: 9.375e-06, eta: 3:47:23, time: 0.168, data_time: 0.007, memory: 52541, decode.loss_ce: 0.1845, decode.acc_seg: 92.4426, loss: 0.1845 +2023-03-04 06:47:59,366 - mmseg - INFO - Iter [95450/160000] lr: 9.375e-06, eta: 3:47:11, time: 0.177, data_time: 0.007, memory: 52541, decode.loss_ce: 0.1849, decode.acc_seg: 92.3815, loss: 0.1849 +2023-03-04 06:48:07,894 - mmseg - INFO - Iter [95500/160000] lr: 9.375e-06, eta: 3:46:59, time: 0.170, data_time: 0.007, memory: 52541, decode.loss_ce: 0.1913, decode.acc_seg: 92.4395, loss: 0.1913 +2023-03-04 06:48:16,313 - mmseg - INFO - Iter [95550/160000] lr: 9.375e-06, eta: 3:46:47, time: 0.169, data_time: 0.007, memory: 52541, decode.loss_ce: 0.1866, decode.acc_seg: 92.3625, loss: 0.1866 +2023-03-04 06:48:24,812 - mmseg - INFO - Iter [95600/160000] lr: 9.375e-06, eta: 3:46:35, time: 0.170, data_time: 0.007, memory: 52541, decode.loss_ce: 0.1915, decode.acc_seg: 91.9317, loss: 0.1915 +2023-03-04 06:48:33,191 - mmseg - INFO - Iter [95650/160000] lr: 9.375e-06, eta: 3:46:23, time: 0.168, data_time: 0.007, memory: 52541, decode.loss_ce: 0.1895, decode.acc_seg: 92.0653, loss: 0.1895 +2023-03-04 06:48:41,459 - mmseg - INFO - Iter [95700/160000] lr: 9.375e-06, eta: 3:46:11, time: 0.165, data_time: 0.007, memory: 52541, decode.loss_ce: 0.1900, decode.acc_seg: 92.2873, loss: 0.1900 +2023-03-04 06:48:49,865 - mmseg - INFO - Iter [95750/160000] lr: 9.375e-06, eta: 3:45:59, time: 0.168, data_time: 0.007, memory: 52541, decode.loss_ce: 0.1878, decode.acc_seg: 92.1086, loss: 0.1878 +2023-03-04 06:48:58,375 - mmseg - INFO - Iter [95800/160000] lr: 9.375e-06, eta: 3:45:47, time: 0.170, data_time: 0.007, memory: 52541, decode.loss_ce: 0.1803, decode.acc_seg: 92.6324, loss: 0.1803 +2023-03-04 06:49:06,936 - mmseg - INFO - Iter [95850/160000] lr: 9.375e-06, eta: 3:45:35, time: 0.171, data_time: 0.008, memory: 52541, decode.loss_ce: 0.1903, decode.acc_seg: 92.2685, loss: 0.1903 +2023-03-04 06:49:15,270 - mmseg - INFO - Iter [95900/160000] lr: 9.375e-06, eta: 3:45:23, time: 0.167, data_time: 0.007, memory: 52541, decode.loss_ce: 0.1829, decode.acc_seg: 92.4636, loss: 0.1829 +2023-03-04 06:49:26,369 - mmseg - INFO - Iter [95950/160000] lr: 9.375e-06, eta: 3:45:13, time: 0.222, data_time: 0.055, memory: 52541, decode.loss_ce: 0.1878, decode.acc_seg: 92.2553, loss: 0.1878 +2023-03-04 06:49:34,719 - mmseg - INFO - Swap parameters (after train) after iter [96000] +2023-03-04 06:49:34,732 - mmseg - INFO - Saving checkpoint at 96000 iterations +2023-03-04 06:49:35,788 - mmseg - INFO - Exp name: ablation_segformer_mit_b2_segformer_head_unet_fc_small_multi_step_ade_pretrained_freeze_embed_160k_ade20k151_finetune_ema_winit.py +2023-03-04 06:49:35,788 - mmseg - INFO - Iter [96000/160000] lr: 9.375e-06, eta: 3:45:02, time: 0.189, data_time: 0.007, memory: 52541, decode.loss_ce: 0.1864, decode.acc_seg: 92.2970, loss: 0.1864 +2023-03-04 07:00:29,051 - mmseg - INFO - per class results: +2023-03-04 07:00:29,060 - mmseg - INFO - ++---------------------+-------------------------------------------------------------------+ +| Class | IoU 0,10,20,30,40,50,60,70,80,90,99 | ++---------------------+-------------------------------------------------------------------+ +| background | nan,nan,nan,nan,nan,nan,nan,nan,nan,nan,nan | +| wall | 77.45,77.46,77.46,77.47,77.47,77.48,77.48,77.48,77.49,77.49,77.49 | +| building | 81.62,81.62,81.61,81.61,81.6,81.6,81.6,81.59,81.59,81.58,81.58 | +| sky | 94.4,94.4,94.4,94.4,94.4,94.4,94.4,94.4,94.4,94.4,94.4 | +| floor | 81.59,81.59,81.57,81.59,81.58,81.57,81.57,81.57,81.56,81.57,81.55 | +| tree | 74.23,74.23,74.23,74.24,74.23,74.22,74.23,74.23,74.23,74.23,74.23 | +| ceiling | 85.25,85.27,85.26,85.29,85.29,85.3,85.31,85.32,85.33,85.33,85.33 | +| road | 82.18,82.16,82.17,82.16,82.16,82.15,82.15,82.15,82.14,82.14,82.15 | +| bed | 87.75,87.76,87.77,87.78,87.77,87.76,87.77,87.77,87.77,87.76,87.75 | +| windowpane | 60.66,60.65,60.65,60.65,60.63,60.64,60.63,60.64,60.63,60.61,60.6 | +| grass | 67.16,67.16,67.12,67.14,67.16,67.15,67.15,67.13,67.15,67.14,67.15 | +| cabinet | 61.08,61.09,61.08,61.07,61.01,61.04,61.0,61.01,61.0,60.95,60.98 | +| sidewalk | 64.63,64.64,64.64,64.64,64.65,64.62,64.65,64.64,64.63,64.64,64.63 | +| person | 79.66,79.65,79.67,79.65,79.65,79.65,79.66,79.67,79.67,79.66,79.68 | +| earth | 35.99,36.01,35.99,36.02,36.03,36.04,36.05,36.06,36.07,36.09,36.08 | +| door | 45.86,45.83,45.85,45.84,45.83,45.83,45.81,45.81,45.82,45.8,45.79 | +| table | 60.85,60.85,60.87,60.84,60.83,60.85,60.82,60.82,60.82,60.8,60.8 | +| mountain | 57.48,57.5,57.55,57.56,57.55,57.56,57.59,57.6,57.65,57.64,57.64 | +| plant | 49.88,49.9,49.89,49.93,49.92,49.91,49.94,49.94,49.93,49.95,49.93 | +| curtain | 74.95,74.95,74.98,74.93,74.91,74.92,74.88,74.91,74.88,74.86,74.87 | +| chair | 56.51,56.52,56.51,56.53,56.52,56.52,56.52,56.53,56.52,56.51,56.51 | +| car | 82.02,82.03,82.05,82.05,82.06,82.05,82.07,82.07,82.08,82.08,82.09 | +| water | 57.39,57.4,57.4,57.4,57.42,57.42,57.42,57.42,57.44,57.43,57.45 | +| painting | 70.83,70.86,70.88,70.95,71.0,71.06,71.08,71.11,71.14,71.19,71.2 | +| sofa | 64.13,64.14,64.13,64.12,64.14,64.13,64.12,64.11,64.13,64.12,64.13 | +| shelf | 43.78,43.72,43.72,43.72,43.68,43.7,43.68,43.64,43.68,43.61,43.66 | +| house | 42.5,42.41,42.34,42.25,42.2,42.1,42.04,41.86,41.81,41.73,41.73 | +| sea | 60.54,60.56,60.57,60.58,60.59,60.61,60.63,60.63,60.65,60.66,60.68 | +| mirror | 66.4,66.44,66.42,66.44,66.42,66.39,66.39,66.4,66.42,66.39,66.38 | +| rug | 63.96,64.03,63.87,63.96,63.86,63.76,63.76,63.69,63.66,63.68,63.65 | +| field | 30.86,30.89,30.9,30.91,30.93,30.93,30.96,30.98,31.0,31.03,31.02 | +| armchair | 37.94,37.92,37.9,37.9,37.88,37.91,37.89,37.87,37.86,37.85,37.84 | +| seat | 66.74,66.67,66.66,66.65,66.66,66.68,66.63,66.63,66.62,66.61,66.61 | +| fence | 40.41,40.44,40.51,40.48,40.52,40.47,40.49,40.55,40.52,40.54,40.5 | +| desk | 46.58,46.58,46.58,46.5,46.53,46.52,46.43,46.5,46.43,46.4,46.42 | +| rock | 36.89,36.89,36.87,36.88,36.88,36.91,36.91,36.95,36.92,36.95,36.95 | +| wardrobe | 57.32,57.25,57.29,57.27,57.2,57.27,57.24,57.23,57.22,57.15,57.18 | +| lamp | 61.94,61.93,61.95,61.96,61.97,61.98,61.99,62.01,62.0,62.02,62.01 | +| bathtub | 76.05,76.05,76.06,76.07,76.08,76.04,76.1,76.09,76.07,76.08,76.08 | +| railing | 33.88,33.88,33.87,33.86,33.85,33.86,33.88,33.86,33.88,33.87,33.89 | +| cushion | 56.1,56.11,56.08,56.11,56.05,56.0,56.0,55.96,55.93,55.93,55.92 | +| base | 22.66,22.63,22.65,22.65,22.66,22.63,22.62,22.64,22.67,22.65,22.67 | +| box | 23.08,23.13,23.1,23.1,23.11,23.1,23.11,23.09,23.1,23.08,23.08 | +| column | 46.26,46.33,46.31,46.32,46.35,46.34,46.37,46.37,46.4,46.4,46.42 | +| signboard | 37.93,37.96,37.97,37.98,37.98,37.99,37.99,38.0,38.02,38.02,38.02 | +| chest of drawers | 36.28,36.27,36.24,36.25,36.27,36.21,36.17,36.12,36.15,36.12,36.14 | +| counter | 30.91,30.9,30.93,30.9,30.93,30.95,30.96,30.99,30.97,30.98,30.97 | +| sand | 42.72,42.72,42.79,42.79,42.88,42.92,42.9,42.98,43.05,43.07,43.18 | +| sink | 67.92,67.93,67.9,67.94,67.95,67.96,67.95,67.95,67.95,67.97,67.97 | +| skyscraper | 51.73,51.66,51.58,51.39,51.32,51.26,51.22,51.14,51.09,51.09,51.13 | +| fireplace | 75.09,75.12,75.09,75.05,75.06,75.0,75.04,75.01,74.97,74.98,74.92 | +| refrigerator | 74.24,74.26,74.2,74.28,74.14,74.16,74.22,74.15,74.15,74.14,74.02 | +| grandstand | 51.68,51.5,51.54,51.42,51.42,51.29,51.34,51.26,51.22,51.16,51.19 | +| path | 22.11,22.17,22.14,22.17,22.17,22.14,22.11,22.14,22.14,22.13,22.13 | +| stairs | 31.21,31.16,31.13,31.09,31.1,31.03,31.04,31.01,30.95,30.96,30.94 | +| runway | 67.88,67.9,67.88,67.83,67.84,67.79,67.75,67.75,67.75,67.71,67.69 | +| case | 48.41,48.42,48.38,48.38,48.4,48.39,48.41,48.36,48.37,48.41,48.33 | +| pool table | 91.99,91.96,91.98,91.95,91.95,91.94,91.92,91.92,91.92,91.91,91.9 | +| pillow | 60.48,60.42,60.53,60.48,60.5,60.45,60.5,60.45,60.46,60.44,60.45 | +| screen door | 70.5,70.59,70.54,70.56,70.53,70.37,70.39,70.41,70.31,70.29,70.2 | +| stairway | 24.15,24.17,24.13,24.12,24.13,24.16,24.13,24.1,24.15,24.11,24.1 | +| river | 11.99,11.98,11.99,12.0,11.99,11.99,11.99,11.99,11.99,12.01,12.0 | +| bridge | 31.51,31.44,31.39,31.3,31.32,31.29,31.16,31.13,31.11,31.01,31.08 | +| bookcase | 45.07,44.97,45.01,45.07,45.1,45.1,45.11,45.03,45.13,45.08,45.2 | +| blind | 39.28,39.36,39.25,39.2,39.2,39.09,39.09,39.07,39.06,39.03,39.0 | +| coffee table | 53.24,53.18,53.13,53.1,53.0,53.0,53.01,52.95,52.91,52.88,52.9 | +| toilet | 84.02,84.04,84.06,84.06,84.09,84.13,84.11,84.15,84.16,84.15,84.2 | +| flower | 38.61,38.65,38.6,38.64,38.63,38.66,38.67,38.7,38.7,38.7,38.69 | +| book | 44.8,44.78,44.81,44.79,44.84,44.87,44.86,44.85,44.89,44.86,44.93 | +| hill | 15.44,15.5,15.48,15.59,15.59,15.59,15.68,15.68,15.7,15.74,15.76 | +| bench | 42.78,42.75,42.83,42.78,42.78,42.77,42.76,42.76,42.72,42.73,42.69 | +| countertop | 55.68,55.68,55.63,55.65,55.69,55.68,55.72,55.74,55.69,55.72,55.76 | +| stove | 72.44,72.41,72.47,72.44,72.45,72.44,72.46,72.48,72.48,72.48,72.49 | +| palm | 48.1,48.12,48.1,48.11,48.11,48.1,48.1,48.09,48.11,48.12,48.12 | +| kitchen island | 44.8,44.58,44.56,44.55,44.44,44.54,44.35,44.38,44.33,44.15,44.27 | +| computer | 60.58,60.59,60.59,60.59,60.61,60.64,60.63,60.62,60.65,60.64,60.66 | +| swivel chair | 42.56,42.52,42.5,42.47,42.43,42.36,42.38,42.32,42.32,42.27,42.25 | +| boat | 72.57,72.48,72.55,72.64,72.63,72.68,72.75,72.76,72.78,72.84,72.88 | +| bar | 23.97,23.97,23.96,23.94,23.93,23.94,23.91,23.93,23.92,23.92,23.92 | +| arcade machine | 68.74,68.98,69.04,68.97,69.03,68.92,69.09,69.01,69.22,69.11,69.31 | +| hovel | 33.88,33.79,33.79,33.65,33.57,33.61,33.42,33.36,33.31,33.17,33.11 | +| bus | 79.68,79.65,79.62,79.61,79.59,79.56,79.59,79.57,79.56,79.51,79.47 | +| towel | 62.82,62.9,62.98,62.96,62.98,62.98,63.01,63.05,63.07,63.08,63.09 | +| light | 55.27,55.18,55.11,55.06,55.05,54.96,54.89,54.9,54.83,54.73,54.64 | +| truck | 18.76,18.8,18.79,18.76,18.73,18.66,18.62,18.66,18.65,18.63,18.61 | +| tower | 6.52,6.55,6.54,6.39,6.38,6.12,6.09,5.97,5.85,5.88,5.85 | +| chandelier | 64.3,64.26,64.28,64.26,64.28,64.3,64.29,64.3,64.31,64.33,64.31 | +| awning | 23.85,23.85,23.85,23.79,23.68,23.7,23.63,23.47,23.6,23.42,23.53 | +| streetlight | 27.4,27.29,27.35,27.34,27.39,27.47,27.37,27.41,27.42,27.41,27.44 | +| booth | 45.6,45.64,45.65,45.79,45.93,45.77,45.82,45.78,45.87,45.95,45.86 | +| television receiver | 63.88,63.88,63.9,63.9,63.91,63.95,63.97,63.96,63.95,63.99,63.98 | +| airplane | 60.29,60.36,60.38,60.4,60.39,60.44,60.44,60.46,60.47,60.44,60.43 | +| dirt track | 21.03,21.2,21.21,21.42,21.57,21.56,21.74,21.67,21.89,22.06,21.67 | +| apparel | 34.96,34.92,34.91,34.88,34.92,34.88,34.84,34.8,34.75,34.74,34.74 | +| pole | 18.86,18.82,18.86,18.81,18.81,18.75,18.77,18.76,18.76,18.71,18.73 | +| land | 3.42,3.43,3.44,3.47,3.44,3.46,3.46,3.48,3.48,3.5,3.49 | +| bannister | 12.73,12.78,12.73,12.72,12.76,12.72,12.77,12.76,12.74,12.78,12.74 | +| escalator | 24.77,24.8,24.78,24.74,24.77,24.73,24.76,24.78,24.74,24.77,24.7 | +| ottoman | 41.27,41.2,41.27,41.17,41.19,41.19,41.25,41.28,41.25,41.25,41.22 | +| bottle | 34.34,34.36,34.33,34.31,34.27,34.25,34.25,34.24,34.22,34.21,34.18 | +| buffet | 42.17,42.09,41.98,42.08,42.0,41.98,41.81,41.82,41.71,41.84,41.59 | +| poster | 22.7,22.71,22.74,22.73,22.77,22.81,22.78,22.77,22.82,22.82,22.84 | +| stage | 15.37,15.33,15.35,15.32,15.34,15.33,15.35,15.35,15.31,15.35,15.28 | +| van | 37.83,37.89,37.84,37.87,37.9,37.83,37.88,37.85,37.9,37.87,37.88 | +| ship | 82.73,82.72,82.73,82.77,82.75,82.8,82.85,82.82,82.83,82.9,82.88 | +| fountain | 22.06,22.12,22.12,22.14,22.19,22.11,22.16,22.13,22.13,22.08,22.05 | +| conveyer belt | 84.94,84.82,84.92,84.91,84.97,85.0,84.94,84.98,85.0,84.99,85.05 | +| canopy | 25.31,25.38,25.44,25.36,25.35,25.33,25.32,25.37,25.36,25.29,25.38 | +| washer | 75.66,75.78,75.9,75.75,75.76,75.74,75.63,75.63,75.78,75.75,75.73 | +| plaything | 19.88,19.91,19.92,19.96,19.95,19.97,19.99,19.96,20.03,19.99,20.05 | +| swimming pool | 72.03,72.13,72.07,71.98,72.01,71.92,71.99,71.94,71.89,71.96,71.76 | +| stool | 43.94,43.96,43.93,43.92,43.92,43.88,43.94,43.89,43.87,43.86,43.83 | +| barrel | 45.05,44.7,44.57,44.73,44.54,44.83,44.44,44.58,44.65,44.83,44.6 | +| basket | 24.8,24.77,24.75,24.75,24.79,24.8,24.78,24.83,24.8,24.82,24.81 | +| waterfall | 48.42,48.37,48.38,48.34,48.44,48.4,48.42,48.35,48.41,48.38,48.48 | +| tent | 94.83,94.87,94.85,94.86,94.86,94.85,94.87,94.86,94.86,94.86,94.84 | +| bag | 15.7,15.77,15.86,15.86,15.86,15.88,15.96,15.94,16.07,16.15,16.18 | +| minibike | 62.84,62.94,62.84,62.83,62.79,62.77,62.75,62.7,62.69,62.61,62.58 | +| cradle | 83.83,83.78,83.84,83.8,83.8,83.84,83.79,83.85,83.83,83.83,83.83 | +| oven | 47.41,47.4,47.34,47.4,47.39,47.34,47.34,47.37,47.27,47.26,47.33 | +| ball | 47.66,47.58,47.68,47.7,47.63,47.75,47.76,47.79,47.73,47.87,47.72 | +| food | 53.93,53.9,53.91,53.97,54.08,54.23,54.2,54.29,54.35,54.5,54.44 | +| step | 6.32,6.3,6.22,6.19,6.17,6.06,6.0,6.0,5.89,5.85,5.82 | +| tank | 51.61,51.56,51.57,51.61,51.71,51.72,51.7,51.72,51.79,51.73,51.73 | +| trade name | 27.17,27.16,27.27,27.25,27.1,27.19,27.11,27.06,27.16,27.08,27.17 | +| microwave | 71.56,71.51,71.5,71.61,71.63,71.62,71.64,71.66,71.69,71.69,71.69 | +| pot | 30.12,30.12,30.11,30.1,30.11,30.1,30.14,30.15,30.12,30.14,30.12 | +| animal | 54.78,54.74,54.77,54.7,54.7,54.7,54.65,54.67,54.64,54.61,54.6 | +| bicycle | 54.49,54.42,54.48,54.43,54.47,54.42,54.44,54.44,54.45,54.43,54.43 | +| lake | 57.4,57.43,57.42,57.43,57.45,57.45,57.49,57.45,57.45,57.46,57.44 | +| dishwasher | 65.56,65.75,65.57,65.69,65.71,65.73,65.87,65.79,65.79,65.77,65.81 | +| screen | 67.47,67.38,67.2,67.22,67.31,67.34,67.43,67.23,67.29,67.4,67.45 | +| blanket | 17.63,17.58,17.69,17.68,17.7,17.83,17.75,17.82,17.83,17.81,17.9 | +| sculpture | 58.87,58.82,58.96,58.98,58.86,58.99,58.89,58.98,58.98,58.85,59.14 | +| hood | 57.36,57.65,57.51,57.58,57.61,57.56,57.57,57.7,57.72,57.72,57.77 | +| sconce | 44.33,44.44,44.34,44.45,44.34,44.37,44.38,44.41,44.41,44.42,44.4 | +| vase | 37.4,37.43,37.39,37.43,37.43,37.35,37.4,37.35,37.34,37.32,37.32 | +| traffic light | 32.5,32.58,32.54,32.57,32.55,32.55,32.55,32.54,32.55,32.52,32.55 | +| tray | 8.01,7.98,8.19,8.17,8.21,8.32,8.28,8.4,8.51,8.43,8.56 | +| ashcan | 40.65,40.7,40.82,40.75,40.81,40.84,40.83,40.81,40.86,40.85,40.89 | +| fan | 58.24,58.19,58.24,58.27,58.26,58.21,58.2,58.22,58.24,58.22,58.23 | +| pier | 51.12,51.57,51.69,52.11,52.24,52.24,52.41,52.48,52.69,52.74,52.8 | +| crt screen | 10.48,10.49,10.51,10.52,10.55,10.55,10.56,10.59,10.57,10.6,10.6 | +| plate | 52.9,52.88,52.86,52.86,52.86,52.87,52.86,52.83,52.81,52.79,52.77 | +| monitor | 17.31,17.41,17.28,17.32,17.46,17.43,17.5,17.5,17.42,17.58,17.5 | +| bulletin board | 37.3,37.37,37.5,37.38,37.42,37.45,37.43,37.42,37.45,37.43,37.42 | +| shower | 2.22,2.23,2.22,2.2,2.22,2.2,2.17,2.22,2.13,2.15,2.15 | +| radiator | 58.25,58.25,58.44,58.28,58.3,58.33,58.28,58.35,58.39,58.42,58.51 | +| glass | 13.27,13.25,13.24,13.23,13.2,13.23,13.18,13.2,13.2,13.16,13.17 | +| clock | 36.16,36.25,36.13,36.26,36.41,36.14,36.33,36.17,36.18,36.22,36.09 | +| flag | 33.81,33.72,33.69,33.7,33.59,33.54,33.41,33.35,33.38,33.24,33.22 | ++---------------------+-------------------------------------------------------------------+ +2023-03-04 07:00:29,060 - mmseg - INFO - Summary: +2023-03-04 07:00:29,060 - mmseg - INFO - ++-------------------------------------------------------------+ +| mIoU 0,10,20,30,40,50,60,70,80,90,99 | ++-------------------------------------------------------------+ +| 48.71,48.71,48.71,48.71,48.71,48.7,48.7,48.7,48.7,48.7,48.7 | ++-------------------------------------------------------------+ +2023-03-04 07:00:29,060 - mmseg - INFO - Exp name: ablation_segformer_mit_b2_segformer_head_unet_fc_small_multi_step_ade_pretrained_freeze_embed_160k_ade20k151_finetune_ema_winit.py +2023-03-04 07:00:29,060 - mmseg - INFO - Iter(val) [250] mIoU: [0.4871, 0.4871, 0.4871, 0.4871, 0.4871, 0.487, 0.487, 0.487, 0.487, 0.487, 0.487], copy_paste: 48.71,48.71,48.71,48.71,48.71,48.7,48.7,48.7,48.7,48.7,48.7 +2023-03-04 07:00:29,068 - mmseg - INFO - Swap parameters (before train) before iter [96001] +2023-03-04 07:00:37,694 - mmseg - INFO - Iter [96050/160000] lr: 9.375e-06, eta: 3:52:05, time: 13.238, data_time: 13.073, memory: 52541, decode.loss_ce: 0.1840, decode.acc_seg: 92.3581, loss: 0.1840 +2023-03-04 07:00:46,746 - mmseg - INFO - Iter [96100/160000] lr: 9.375e-06, eta: 3:51:53, time: 0.181, data_time: 0.007, memory: 52541, decode.loss_ce: 0.1885, decode.acc_seg: 92.3787, loss: 0.1885 +2023-03-04 07:00:55,389 - mmseg - INFO - Iter [96150/160000] lr: 9.375e-06, eta: 3:51:41, time: 0.173, data_time: 0.007, memory: 52541, decode.loss_ce: 0.1965, decode.acc_seg: 91.9699, loss: 0.1965 +2023-03-04 07:01:03,809 - mmseg - INFO - Iter [96200/160000] lr: 9.375e-06, eta: 3:51:28, time: 0.168, data_time: 0.007, memory: 52541, decode.loss_ce: 0.1839, decode.acc_seg: 92.4245, loss: 0.1839 +2023-03-04 07:01:12,275 - mmseg - INFO - Iter [96250/160000] lr: 9.375e-06, eta: 3:51:16, time: 0.170, data_time: 0.007, memory: 52541, decode.loss_ce: 0.1875, decode.acc_seg: 92.3065, loss: 0.1875 +2023-03-04 07:01:20,599 - mmseg - INFO - Iter [96300/160000] lr: 9.375e-06, eta: 3:51:03, time: 0.166, data_time: 0.007, memory: 52541, decode.loss_ce: 0.1842, decode.acc_seg: 92.3667, loss: 0.1842 +2023-03-04 07:01:29,203 - mmseg - INFO - Iter [96350/160000] lr: 9.375e-06, eta: 3:50:51, time: 0.172, data_time: 0.007, memory: 52541, decode.loss_ce: 0.1886, decode.acc_seg: 92.2642, loss: 0.1886 +2023-03-04 07:01:37,619 - mmseg - INFO - Iter [96400/160000] lr: 9.375e-06, eta: 3:50:38, time: 0.168, data_time: 0.007, memory: 52541, decode.loss_ce: 0.1867, decode.acc_seg: 92.4062, loss: 0.1867 +2023-03-04 07:01:46,328 - mmseg - INFO - Iter [96450/160000] lr: 9.375e-06, eta: 3:50:26, time: 0.174, data_time: 0.007, memory: 52541, decode.loss_ce: 0.1820, decode.acc_seg: 92.5496, loss: 0.1820 +2023-03-04 07:01:54,959 - mmseg - INFO - Iter [96500/160000] lr: 9.375e-06, eta: 3:50:13, time: 0.173, data_time: 0.007, memory: 52541, decode.loss_ce: 0.1845, decode.acc_seg: 92.4506, loss: 0.1845 +2023-03-04 07:02:06,583 - mmseg - INFO - Iter [96550/160000] lr: 9.375e-06, eta: 3:50:03, time: 0.233, data_time: 0.058, memory: 52541, decode.loss_ce: 0.1886, decode.acc_seg: 92.3195, loss: 0.1886 +2023-03-04 07:02:15,000 - mmseg - INFO - Iter [96600/160000] lr: 9.375e-06, eta: 3:49:51, time: 0.168, data_time: 0.007, memory: 52541, decode.loss_ce: 0.1943, decode.acc_seg: 92.1748, loss: 0.1943 +2023-03-04 07:02:23,670 - mmseg - INFO - Iter [96650/160000] lr: 9.375e-06, eta: 3:49:38, time: 0.173, data_time: 0.008, memory: 52541, decode.loss_ce: 0.1883, decode.acc_seg: 92.3453, loss: 0.1883 +2023-03-04 07:02:32,443 - mmseg - INFO - Iter [96700/160000] lr: 9.375e-06, eta: 3:49:26, time: 0.175, data_time: 0.007, memory: 52541, decode.loss_ce: 0.1832, decode.acc_seg: 92.5375, loss: 0.1832 +2023-03-04 07:02:41,123 - mmseg - INFO - Iter [96750/160000] lr: 9.375e-06, eta: 3:49:14, time: 0.174, data_time: 0.007, memory: 52541, decode.loss_ce: 0.1872, decode.acc_seg: 92.3238, loss: 0.1872 +2023-03-04 07:02:49,645 - mmseg - INFO - Iter [96800/160000] lr: 9.375e-06, eta: 3:49:01, time: 0.170, data_time: 0.007, memory: 52541, decode.loss_ce: 0.1805, decode.acc_seg: 92.4968, loss: 0.1805 +2023-03-04 07:02:58,148 - mmseg - INFO - Iter [96850/160000] lr: 9.375e-06, eta: 3:48:49, time: 0.170, data_time: 0.007, memory: 52541, decode.loss_ce: 0.1914, decode.acc_seg: 92.1219, loss: 0.1914 +2023-03-04 07:03:06,856 - mmseg - INFO - Iter [96900/160000] lr: 9.375e-06, eta: 3:48:37, time: 0.174, data_time: 0.007, memory: 52541, decode.loss_ce: 0.1849, decode.acc_seg: 92.3229, loss: 0.1849 +2023-03-04 07:03:15,521 - mmseg - INFO - Iter [96950/160000] lr: 9.375e-06, eta: 3:48:24, time: 0.173, data_time: 0.008, memory: 52541, decode.loss_ce: 0.1864, decode.acc_seg: 92.3803, loss: 0.1864 +2023-03-04 07:03:23,915 - mmseg - INFO - Exp name: ablation_segformer_mit_b2_segformer_head_unet_fc_small_multi_step_ade_pretrained_freeze_embed_160k_ade20k151_finetune_ema_winit.py +2023-03-04 07:03:23,915 - mmseg - INFO - Iter [97000/160000] lr: 9.375e-06, eta: 3:48:12, time: 0.168, data_time: 0.007, memory: 52541, decode.loss_ce: 0.1960, decode.acc_seg: 91.8833, loss: 0.1960 +2023-03-04 07:03:32,713 - mmseg - INFO - Iter [97050/160000] lr: 9.375e-06, eta: 3:48:00, time: 0.176, data_time: 0.007, memory: 52541, decode.loss_ce: 0.1897, decode.acc_seg: 92.1932, loss: 0.1897 +2023-03-04 07:03:41,673 - mmseg - INFO - Iter [97100/160000] lr: 9.375e-06, eta: 3:47:48, time: 0.179, data_time: 0.007, memory: 52541, decode.loss_ce: 0.1863, decode.acc_seg: 92.2621, loss: 0.1863 +2023-03-04 07:03:50,091 - mmseg - INFO - Iter [97150/160000] lr: 9.375e-06, eta: 3:47:35, time: 0.168, data_time: 0.007, memory: 52541, decode.loss_ce: 0.1879, decode.acc_seg: 92.4958, loss: 0.1879 +2023-03-04 07:04:01,274 - mmseg - INFO - Iter [97200/160000] lr: 9.375e-06, eta: 3:47:24, time: 0.224, data_time: 0.056, memory: 52541, decode.loss_ce: 0.1827, decode.acc_seg: 92.2967, loss: 0.1827 +2023-03-04 07:04:10,172 - mmseg - INFO - Iter [97250/160000] lr: 9.375e-06, eta: 3:47:12, time: 0.178, data_time: 0.007, memory: 52541, decode.loss_ce: 0.1894, decode.acc_seg: 92.2694, loss: 0.1894 +2023-03-04 07:04:18,521 - mmseg - INFO - Iter [97300/160000] lr: 9.375e-06, eta: 3:47:00, time: 0.167, data_time: 0.007, memory: 52541, decode.loss_ce: 0.1885, decode.acc_seg: 92.1649, loss: 0.1885 +2023-03-04 07:04:27,091 - mmseg - INFO - Iter [97350/160000] lr: 9.375e-06, eta: 3:46:47, time: 0.171, data_time: 0.007, memory: 52541, decode.loss_ce: 0.1947, decode.acc_seg: 92.0863, loss: 0.1947 +2023-03-04 07:04:35,612 - mmseg - INFO - Iter [97400/160000] lr: 9.375e-06, eta: 3:46:35, time: 0.170, data_time: 0.007, memory: 52541, decode.loss_ce: 0.1827, decode.acc_seg: 92.4701, loss: 0.1827 +2023-03-04 07:04:44,018 - mmseg - INFO - Iter [97450/160000] lr: 9.375e-06, eta: 3:46:23, time: 0.168, data_time: 0.007, memory: 52541, decode.loss_ce: 0.1914, decode.acc_seg: 92.3995, loss: 0.1914 +2023-03-04 07:04:52,749 - mmseg - INFO - Iter [97500/160000] lr: 9.375e-06, eta: 3:46:10, time: 0.174, data_time: 0.007, memory: 52541, decode.loss_ce: 0.1844, decode.acc_seg: 92.2805, loss: 0.1844 +2023-03-04 07:05:01,299 - mmseg - INFO - Iter [97550/160000] lr: 9.375e-06, eta: 3:45:58, time: 0.171, data_time: 0.007, memory: 52541, decode.loss_ce: 0.1825, decode.acc_seg: 92.4487, loss: 0.1825 +2023-03-04 07:05:09,780 - mmseg - INFO - Iter [97600/160000] lr: 9.375e-06, eta: 3:45:46, time: 0.170, data_time: 0.007, memory: 52541, decode.loss_ce: 0.1883, decode.acc_seg: 92.3582, loss: 0.1883 +2023-03-04 07:05:18,379 - mmseg - INFO - Iter [97650/160000] lr: 9.375e-06, eta: 3:45:33, time: 0.172, data_time: 0.007, memory: 52541, decode.loss_ce: 0.1812, decode.acc_seg: 92.5992, loss: 0.1812 +2023-03-04 07:05:26,967 - mmseg - INFO - Iter [97700/160000] lr: 9.375e-06, eta: 3:45:21, time: 0.172, data_time: 0.007, memory: 52541, decode.loss_ce: 0.1814, decode.acc_seg: 92.4220, loss: 0.1814 +2023-03-04 07:05:35,516 - mmseg - INFO - Iter [97750/160000] lr: 9.375e-06, eta: 3:45:09, time: 0.171, data_time: 0.007, memory: 52541, decode.loss_ce: 0.1872, decode.acc_seg: 92.2958, loss: 0.1872 +2023-03-04 07:05:44,063 - mmseg - INFO - Iter [97800/160000] lr: 9.375e-06, eta: 3:44:56, time: 0.171, data_time: 0.007, memory: 52541, decode.loss_ce: 0.1876, decode.acc_seg: 92.2929, loss: 0.1876 +2023-03-04 07:05:55,101 - mmseg - INFO - Iter [97850/160000] lr: 9.375e-06, eta: 3:44:46, time: 0.221, data_time: 0.055, memory: 52541, decode.loss_ce: 0.1823, decode.acc_seg: 92.4563, loss: 0.1823 +2023-03-04 07:06:03,488 - mmseg - INFO - Iter [97900/160000] lr: 9.375e-06, eta: 3:44:33, time: 0.168, data_time: 0.007, memory: 52541, decode.loss_ce: 0.1844, decode.acc_seg: 92.3171, loss: 0.1844 +2023-03-04 07:06:12,351 - mmseg - INFO - Iter [97950/160000] lr: 9.375e-06, eta: 3:44:21, time: 0.177, data_time: 0.008, memory: 52541, decode.loss_ce: 0.1825, decode.acc_seg: 92.4918, loss: 0.1825 +2023-03-04 07:06:20,764 - mmseg - INFO - Exp name: ablation_segformer_mit_b2_segformer_head_unet_fc_small_multi_step_ade_pretrained_freeze_embed_160k_ade20k151_finetune_ema_winit.py +2023-03-04 07:06:20,764 - mmseg - INFO - Iter [98000/160000] lr: 9.375e-06, eta: 3:44:09, time: 0.168, data_time: 0.007, memory: 52541, decode.loss_ce: 0.1831, decode.acc_seg: 92.3913, loss: 0.1831 +2023-03-04 07:06:29,537 - mmseg - INFO - Iter [98050/160000] lr: 9.375e-06, eta: 3:43:57, time: 0.175, data_time: 0.008, memory: 52541, decode.loss_ce: 0.1950, decode.acc_seg: 92.1461, loss: 0.1950 +2023-03-04 07:06:38,171 - mmseg - INFO - Iter [98100/160000] lr: 9.375e-06, eta: 3:43:44, time: 0.172, data_time: 0.007, memory: 52541, decode.loss_ce: 0.1912, decode.acc_seg: 92.1306, loss: 0.1912 +2023-03-04 07:06:47,018 - mmseg - INFO - Iter [98150/160000] lr: 9.375e-06, eta: 3:43:32, time: 0.177, data_time: 0.008, memory: 52541, decode.loss_ce: 0.1900, decode.acc_seg: 92.1148, loss: 0.1900 +2023-03-04 07:06:55,460 - mmseg - INFO - Iter [98200/160000] lr: 9.375e-06, eta: 3:43:20, time: 0.169, data_time: 0.007, memory: 52541, decode.loss_ce: 0.1813, decode.acc_seg: 92.4656, loss: 0.1813 +2023-03-04 07:07:03,652 - mmseg - INFO - Iter [98250/160000] lr: 9.375e-06, eta: 3:43:07, time: 0.164, data_time: 0.007, memory: 52541, decode.loss_ce: 0.1944, decode.acc_seg: 92.1786, loss: 0.1944 +2023-03-04 07:07:11,939 - mmseg - INFO - Iter [98300/160000] lr: 9.375e-06, eta: 3:42:55, time: 0.166, data_time: 0.007, memory: 52541, decode.loss_ce: 0.1869, decode.acc_seg: 92.3704, loss: 0.1869 +2023-03-04 07:07:20,334 - mmseg - INFO - Iter [98350/160000] lr: 9.375e-06, eta: 3:42:43, time: 0.168, data_time: 0.007, memory: 52541, decode.loss_ce: 0.1800, decode.acc_seg: 92.4986, loss: 0.1800 +2023-03-04 07:07:28,754 - mmseg - INFO - Iter [98400/160000] lr: 9.375e-06, eta: 3:42:30, time: 0.168, data_time: 0.007, memory: 52541, decode.loss_ce: 0.1942, decode.acc_seg: 92.0166, loss: 0.1942 +2023-03-04 07:07:39,981 - mmseg - INFO - Iter [98450/160000] lr: 9.375e-06, eta: 3:42:20, time: 0.224, data_time: 0.055, memory: 52541, decode.loss_ce: 0.1869, decode.acc_seg: 92.3669, loss: 0.1869 +2023-03-04 07:07:48,483 - mmseg - INFO - Iter [98500/160000] lr: 9.375e-06, eta: 3:42:07, time: 0.170, data_time: 0.007, memory: 52541, decode.loss_ce: 0.1913, decode.acc_seg: 92.1578, loss: 0.1913 +2023-03-04 07:07:57,234 - mmseg - INFO - Iter [98550/160000] lr: 9.375e-06, eta: 3:41:55, time: 0.175, data_time: 0.007, memory: 52541, decode.loss_ce: 0.1843, decode.acc_seg: 92.3860, loss: 0.1843 +2023-03-04 07:08:05,674 - mmseg - INFO - Iter [98600/160000] lr: 9.375e-06, eta: 3:41:43, time: 0.169, data_time: 0.007, memory: 52541, decode.loss_ce: 0.1840, decode.acc_seg: 92.3351, loss: 0.1840 +2023-03-04 07:08:14,696 - mmseg - INFO - Iter [98650/160000] lr: 9.375e-06, eta: 3:41:31, time: 0.180, data_time: 0.008, memory: 52541, decode.loss_ce: 0.1863, decode.acc_seg: 92.2812, loss: 0.1863 +2023-03-04 07:08:23,236 - mmseg - INFO - Iter [98700/160000] lr: 9.375e-06, eta: 3:41:19, time: 0.171, data_time: 0.007, memory: 52541, decode.loss_ce: 0.1869, decode.acc_seg: 92.2673, loss: 0.1869 +2023-03-04 07:08:31,875 - mmseg - INFO - Iter [98750/160000] lr: 9.375e-06, eta: 3:41:07, time: 0.173, data_time: 0.007, memory: 52541, decode.loss_ce: 0.1848, decode.acc_seg: 92.4014, loss: 0.1848 +2023-03-04 07:08:40,174 - mmseg - INFO - Iter [98800/160000] lr: 9.375e-06, eta: 3:40:54, time: 0.166, data_time: 0.007, memory: 52541, decode.loss_ce: 0.1962, decode.acc_seg: 92.0542, loss: 0.1962 +2023-03-04 07:08:48,524 - mmseg - INFO - Iter [98850/160000] lr: 9.375e-06, eta: 3:40:42, time: 0.167, data_time: 0.007, memory: 52541, decode.loss_ce: 0.1889, decode.acc_seg: 92.1472, loss: 0.1889 +2023-03-04 07:08:56,996 - mmseg - INFO - Iter [98900/160000] lr: 9.375e-06, eta: 3:40:30, time: 0.169, data_time: 0.007, memory: 52541, decode.loss_ce: 0.1870, decode.acc_seg: 92.3345, loss: 0.1870 +2023-03-04 07:09:05,459 - mmseg - INFO - Iter [98950/160000] lr: 9.375e-06, eta: 3:40:17, time: 0.169, data_time: 0.007, memory: 52541, decode.loss_ce: 0.1899, decode.acc_seg: 92.1738, loss: 0.1899 +2023-03-04 07:09:13,916 - mmseg - INFO - Exp name: ablation_segformer_mit_b2_segformer_head_unet_fc_small_multi_step_ade_pretrained_freeze_embed_160k_ade20k151_finetune_ema_winit.py +2023-03-04 07:09:13,917 - mmseg - INFO - Iter [99000/160000] lr: 9.375e-06, eta: 3:40:05, time: 0.169, data_time: 0.007, memory: 52541, decode.loss_ce: 0.1857, decode.acc_seg: 92.3968, loss: 0.1857 +2023-03-04 07:09:22,299 - mmseg - INFO - Iter [99050/160000] lr: 9.375e-06, eta: 3:39:53, time: 0.168, data_time: 0.007, memory: 52541, decode.loss_ce: 0.1808, decode.acc_seg: 92.5022, loss: 0.1808 +2023-03-04 07:09:33,167 - mmseg - INFO - Iter [99100/160000] lr: 9.375e-06, eta: 3:39:42, time: 0.217, data_time: 0.056, memory: 52541, decode.loss_ce: 0.1805, decode.acc_seg: 92.4863, loss: 0.1805 +2023-03-04 07:09:41,408 - mmseg - INFO - Iter [99150/160000] lr: 9.375e-06, eta: 3:39:29, time: 0.165, data_time: 0.007, memory: 52541, decode.loss_ce: 0.1904, decode.acc_seg: 92.1430, loss: 0.1904 +2023-03-04 07:09:50,070 - mmseg - INFO - Iter [99200/160000] lr: 9.375e-06, eta: 3:39:17, time: 0.173, data_time: 0.007, memory: 52541, decode.loss_ce: 0.1957, decode.acc_seg: 92.1292, loss: 0.1957 +2023-03-04 07:09:58,969 - mmseg - INFO - Iter [99250/160000] lr: 9.375e-06, eta: 3:39:05, time: 0.178, data_time: 0.007, memory: 52541, decode.loss_ce: 0.1924, decode.acc_seg: 92.0716, loss: 0.1924 +2023-03-04 07:10:07,692 - mmseg - INFO - Iter [99300/160000] lr: 9.375e-06, eta: 3:38:53, time: 0.175, data_time: 0.008, memory: 52541, decode.loss_ce: 0.1899, decode.acc_seg: 92.2836, loss: 0.1899 +2023-03-04 07:10:16,214 - mmseg - INFO - Iter [99350/160000] lr: 9.375e-06, eta: 3:38:41, time: 0.170, data_time: 0.008, memory: 52541, decode.loss_ce: 0.1874, decode.acc_seg: 92.2351, loss: 0.1874 +2023-03-04 07:10:24,526 - mmseg - INFO - Iter [99400/160000] lr: 9.375e-06, eta: 3:38:29, time: 0.166, data_time: 0.007, memory: 52541, decode.loss_ce: 0.1925, decode.acc_seg: 92.1652, loss: 0.1925 +2023-03-04 07:10:33,181 - mmseg - INFO - Iter [99450/160000] lr: 9.375e-06, eta: 3:38:16, time: 0.173, data_time: 0.007, memory: 52541, decode.loss_ce: 0.1859, decode.acc_seg: 92.3291, loss: 0.1859 +2023-03-04 07:10:41,711 - mmseg - INFO - Iter [99500/160000] lr: 9.375e-06, eta: 3:38:04, time: 0.170, data_time: 0.007, memory: 52541, decode.loss_ce: 0.1844, decode.acc_seg: 92.5138, loss: 0.1844 +2023-03-04 07:10:50,604 - mmseg - INFO - Iter [99550/160000] lr: 9.375e-06, eta: 3:37:52, time: 0.178, data_time: 0.007, memory: 52541, decode.loss_ce: 0.1858, decode.acc_seg: 92.5034, loss: 0.1858 +2023-03-04 07:10:59,323 - mmseg - INFO - Iter [99600/160000] lr: 9.375e-06, eta: 3:37:40, time: 0.175, data_time: 0.008, memory: 52541, decode.loss_ce: 0.1819, decode.acc_seg: 92.5121, loss: 0.1819 +2023-03-04 07:11:07,897 - mmseg - INFO - Iter [99650/160000] lr: 9.375e-06, eta: 3:37:28, time: 0.171, data_time: 0.007, memory: 52541, decode.loss_ce: 0.1909, decode.acc_seg: 92.2284, loss: 0.1909 +2023-03-04 07:11:18,639 - mmseg - INFO - Iter [99700/160000] lr: 9.375e-06, eta: 3:37:17, time: 0.215, data_time: 0.053, memory: 52541, decode.loss_ce: 0.1967, decode.acc_seg: 92.0576, loss: 0.1967 +2023-03-04 07:11:27,349 - mmseg - INFO - Iter [99750/160000] lr: 9.375e-06, eta: 3:37:05, time: 0.174, data_time: 0.007, memory: 52541, decode.loss_ce: 0.1854, decode.acc_seg: 92.4149, loss: 0.1854 +2023-03-04 07:11:36,040 - mmseg - INFO - Iter [99800/160000] lr: 9.375e-06, eta: 3:36:53, time: 0.174, data_time: 0.007, memory: 52541, decode.loss_ce: 0.1836, decode.acc_seg: 92.4143, loss: 0.1836 +2023-03-04 07:11:44,720 - mmseg - INFO - Iter [99850/160000] lr: 9.375e-06, eta: 3:36:41, time: 0.174, data_time: 0.007, memory: 52541, decode.loss_ce: 0.1856, decode.acc_seg: 92.3724, loss: 0.1856 +2023-03-04 07:11:53,345 - mmseg - INFO - Iter [99900/160000] lr: 9.375e-06, eta: 3:36:29, time: 0.172, data_time: 0.007, memory: 52541, decode.loss_ce: 0.1915, decode.acc_seg: 92.1586, loss: 0.1915 +2023-03-04 07:12:01,724 - mmseg - INFO - Iter [99950/160000] lr: 9.375e-06, eta: 3:36:17, time: 0.167, data_time: 0.007, memory: 52541, decode.loss_ce: 0.1794, decode.acc_seg: 92.5364, loss: 0.1794 +2023-03-04 07:12:10,248 - mmseg - INFO - Exp name: ablation_segformer_mit_b2_segformer_head_unet_fc_small_multi_step_ade_pretrained_freeze_embed_160k_ade20k151_finetune_ema_winit.py +2023-03-04 07:12:10,249 - mmseg - INFO - Iter [100000/160000] lr: 9.375e-06, eta: 3:36:04, time: 0.171, data_time: 0.007, memory: 52541, decode.loss_ce: 0.1905, decode.acc_seg: 92.2810, loss: 0.1905 +2023-03-04 07:12:18,734 - mmseg - INFO - Iter [100050/160000] lr: 4.687e-06, eta: 3:35:52, time: 0.169, data_time: 0.007, memory: 52541, decode.loss_ce: 0.1889, decode.acc_seg: 92.2170, loss: 0.1889 +2023-03-04 07:12:27,246 - mmseg - INFO - Iter [100100/160000] lr: 4.687e-06, eta: 3:35:40, time: 0.170, data_time: 0.007, memory: 52541, decode.loss_ce: 0.1855, decode.acc_seg: 92.3260, loss: 0.1855 +2023-03-04 07:12:36,160 - mmseg - INFO - Iter [100150/160000] lr: 4.687e-06, eta: 3:35:28, time: 0.178, data_time: 0.006, memory: 52541, decode.loss_ce: 0.1856, decode.acc_seg: 92.2949, loss: 0.1856 +2023-03-04 07:12:45,004 - mmseg - INFO - Iter [100200/160000] lr: 4.687e-06, eta: 3:35:16, time: 0.177, data_time: 0.007, memory: 52541, decode.loss_ce: 0.1841, decode.acc_seg: 92.4733, loss: 0.1841 +2023-03-04 07:12:53,493 - mmseg - INFO - Iter [100250/160000] lr: 4.687e-06, eta: 3:35:04, time: 0.170, data_time: 0.007, memory: 52541, decode.loss_ce: 0.1958, decode.acc_seg: 92.0285, loss: 0.1958 +2023-03-04 07:13:02,222 - mmseg - INFO - Iter [100300/160000] lr: 4.687e-06, eta: 3:34:52, time: 0.175, data_time: 0.009, memory: 52541, decode.loss_ce: 0.1897, decode.acc_seg: 92.2796, loss: 0.1897 +2023-03-04 07:13:13,098 - mmseg - INFO - Iter [100350/160000] lr: 4.687e-06, eta: 3:34:41, time: 0.218, data_time: 0.053, memory: 52541, decode.loss_ce: 0.1804, decode.acc_seg: 92.6313, loss: 0.1804 +2023-03-04 07:13:21,389 - mmseg - INFO - Iter [100400/160000] lr: 4.687e-06, eta: 3:34:29, time: 0.166, data_time: 0.007, memory: 52541, decode.loss_ce: 0.1877, decode.acc_seg: 92.2316, loss: 0.1877 +2023-03-04 07:13:30,059 - mmseg - INFO - Iter [100450/160000] lr: 4.687e-06, eta: 3:34:17, time: 0.173, data_time: 0.007, memory: 52541, decode.loss_ce: 0.1886, decode.acc_seg: 92.3452, loss: 0.1886 +2023-03-04 07:13:38,498 - mmseg - INFO - Iter [100500/160000] lr: 4.687e-06, eta: 3:34:05, time: 0.169, data_time: 0.007, memory: 52541, decode.loss_ce: 0.1899, decode.acc_seg: 92.1788, loss: 0.1899 +2023-03-04 07:13:46,862 - mmseg - INFO - Iter [100550/160000] lr: 4.687e-06, eta: 3:33:52, time: 0.168, data_time: 0.007, memory: 52541, decode.loss_ce: 0.1880, decode.acc_seg: 92.3398, loss: 0.1880 +2023-03-04 07:13:55,119 - mmseg - INFO - Iter [100600/160000] lr: 4.687e-06, eta: 3:33:40, time: 0.165, data_time: 0.007, memory: 52541, decode.loss_ce: 0.1874, decode.acc_seg: 92.3667, loss: 0.1874 +2023-03-04 07:14:03,467 - mmseg - INFO - Iter [100650/160000] lr: 4.687e-06, eta: 3:33:28, time: 0.167, data_time: 0.007, memory: 52541, decode.loss_ce: 0.1920, decode.acc_seg: 92.1405, loss: 0.1920 +2023-03-04 07:14:12,139 - mmseg - INFO - Iter [100700/160000] lr: 4.687e-06, eta: 3:33:16, time: 0.173, data_time: 0.007, memory: 52541, decode.loss_ce: 0.1896, decode.acc_seg: 92.1991, loss: 0.1896 +2023-03-04 07:14:20,681 - mmseg - INFO - Iter [100750/160000] lr: 4.687e-06, eta: 3:33:04, time: 0.171, data_time: 0.008, memory: 52541, decode.loss_ce: 0.1980, decode.acc_seg: 91.8460, loss: 0.1980 +2023-03-04 07:14:29,344 - mmseg - INFO - Iter [100800/160000] lr: 4.687e-06, eta: 3:32:52, time: 0.173, data_time: 0.007, memory: 52541, decode.loss_ce: 0.1865, decode.acc_seg: 92.3386, loss: 0.1865 +2023-03-04 07:14:37,838 - mmseg - INFO - Iter [100850/160000] lr: 4.687e-06, eta: 3:32:40, time: 0.170, data_time: 0.008, memory: 52541, decode.loss_ce: 0.1783, decode.acc_seg: 92.5578, loss: 0.1783 +2023-03-04 07:14:46,435 - mmseg - INFO - Iter [100900/160000] lr: 4.687e-06, eta: 3:32:27, time: 0.172, data_time: 0.007, memory: 52541, decode.loss_ce: 0.1834, decode.acc_seg: 92.4682, loss: 0.1834 +2023-03-04 07:14:55,219 - mmseg - INFO - Iter [100950/160000] lr: 4.687e-06, eta: 3:32:16, time: 0.176, data_time: 0.008, memory: 52541, decode.loss_ce: 0.1792, decode.acc_seg: 92.7546, loss: 0.1792 +2023-03-04 07:15:06,354 - mmseg - INFO - Exp name: ablation_segformer_mit_b2_segformer_head_unet_fc_small_multi_step_ade_pretrained_freeze_embed_160k_ade20k151_finetune_ema_winit.py +2023-03-04 07:15:06,354 - mmseg - INFO - Iter [101000/160000] lr: 4.687e-06, eta: 3:32:05, time: 0.223, data_time: 0.056, memory: 52541, decode.loss_ce: 0.1838, decode.acc_seg: 92.5209, loss: 0.1838 +2023-03-04 07:15:14,679 - mmseg - INFO - Iter [101050/160000] lr: 4.687e-06, eta: 3:31:53, time: 0.166, data_time: 0.007, memory: 52541, decode.loss_ce: 0.1841, decode.acc_seg: 92.4127, loss: 0.1841 +2023-03-04 07:15:23,568 - mmseg - INFO - Iter [101100/160000] lr: 4.687e-06, eta: 3:31:41, time: 0.178, data_time: 0.007, memory: 52541, decode.loss_ce: 0.1838, decode.acc_seg: 92.3657, loss: 0.1838 +2023-03-04 07:15:32,146 - mmseg - INFO - Iter [101150/160000] lr: 4.687e-06, eta: 3:31:29, time: 0.172, data_time: 0.007, memory: 52541, decode.loss_ce: 0.1865, decode.acc_seg: 92.3707, loss: 0.1865 +2023-03-04 07:15:41,067 - mmseg - INFO - Iter [101200/160000] lr: 4.687e-06, eta: 3:31:17, time: 0.178, data_time: 0.007, memory: 52541, decode.loss_ce: 0.1901, decode.acc_seg: 92.3860, loss: 0.1901 +2023-03-04 07:15:49,427 - mmseg - INFO - Iter [101250/160000] lr: 4.687e-06, eta: 3:31:05, time: 0.167, data_time: 0.007, memory: 52541, decode.loss_ce: 0.1906, decode.acc_seg: 92.2957, loss: 0.1906 +2023-03-04 07:15:57,727 - mmseg - INFO - Iter [101300/160000] lr: 4.687e-06, eta: 3:30:53, time: 0.166, data_time: 0.007, memory: 52541, decode.loss_ce: 0.1938, decode.acc_seg: 91.9850, loss: 0.1938 +2023-03-04 07:16:06,184 - mmseg - INFO - Iter [101350/160000] lr: 4.687e-06, eta: 3:30:40, time: 0.169, data_time: 0.007, memory: 52541, decode.loss_ce: 0.1868, decode.acc_seg: 92.1752, loss: 0.1868 +2023-03-04 07:16:14,564 - mmseg - INFO - Iter [101400/160000] lr: 4.687e-06, eta: 3:30:28, time: 0.168, data_time: 0.007, memory: 52541, decode.loss_ce: 0.1775, decode.acc_seg: 92.6832, loss: 0.1775 +2023-03-04 07:16:23,121 - mmseg - INFO - Iter [101450/160000] lr: 4.687e-06, eta: 3:30:16, time: 0.171, data_time: 0.007, memory: 52541, decode.loss_ce: 0.1827, decode.acc_seg: 92.4498, loss: 0.1827 +2023-03-04 07:16:31,866 - mmseg - INFO - Iter [101500/160000] lr: 4.687e-06, eta: 3:30:04, time: 0.175, data_time: 0.007, memory: 52541, decode.loss_ce: 0.1828, decode.acc_seg: 92.5155, loss: 0.1828 +2023-03-04 07:16:40,355 - mmseg - INFO - Iter [101550/160000] lr: 4.687e-06, eta: 3:29:52, time: 0.170, data_time: 0.007, memory: 52541, decode.loss_ce: 0.1875, decode.acc_seg: 92.3490, loss: 0.1875 +2023-03-04 07:16:51,338 - mmseg - INFO - Iter [101600/160000] lr: 4.687e-06, eta: 3:29:41, time: 0.220, data_time: 0.058, memory: 52541, decode.loss_ce: 0.1925, decode.acc_seg: 92.0776, loss: 0.1925 +2023-03-04 07:16:59,788 - mmseg - INFO - Iter [101650/160000] lr: 4.687e-06, eta: 3:29:29, time: 0.169, data_time: 0.007, memory: 52541, decode.loss_ce: 0.1890, decode.acc_seg: 92.2888, loss: 0.1890 +2023-03-04 07:17:08,234 - mmseg - INFO - Iter [101700/160000] lr: 4.687e-06, eta: 3:29:17, time: 0.169, data_time: 0.007, memory: 52541, decode.loss_ce: 0.1850, decode.acc_seg: 92.4363, loss: 0.1850 +2023-03-04 07:17:17,273 - mmseg - INFO - Iter [101750/160000] lr: 4.687e-06, eta: 3:29:06, time: 0.181, data_time: 0.007, memory: 52541, decode.loss_ce: 0.1886, decode.acc_seg: 92.2475, loss: 0.1886 +2023-03-04 07:17:26,071 - mmseg - INFO - Iter [101800/160000] lr: 4.687e-06, eta: 3:28:54, time: 0.176, data_time: 0.007, memory: 52541, decode.loss_ce: 0.1799, decode.acc_seg: 92.5142, loss: 0.1799 +2023-03-04 07:17:34,590 - mmseg - INFO - Iter [101850/160000] lr: 4.687e-06, eta: 3:28:42, time: 0.170, data_time: 0.007, memory: 52541, decode.loss_ce: 0.1888, decode.acc_seg: 92.2115, loss: 0.1888 +2023-03-04 07:17:43,254 - mmseg - INFO - Iter [101900/160000] lr: 4.687e-06, eta: 3:28:30, time: 0.173, data_time: 0.007, memory: 52541, decode.loss_ce: 0.1942, decode.acc_seg: 91.9352, loss: 0.1942 +2023-03-04 07:17:51,627 - mmseg - INFO - Iter [101950/160000] lr: 4.687e-06, eta: 3:28:17, time: 0.167, data_time: 0.007, memory: 52541, decode.loss_ce: 0.1843, decode.acc_seg: 92.4102, loss: 0.1843 +2023-03-04 07:17:59,863 - mmseg - INFO - Exp name: ablation_segformer_mit_b2_segformer_head_unet_fc_small_multi_step_ade_pretrained_freeze_embed_160k_ade20k151_finetune_ema_winit.py +2023-03-04 07:17:59,864 - mmseg - INFO - Iter [102000/160000] lr: 4.687e-06, eta: 3:28:05, time: 0.165, data_time: 0.007, memory: 52541, decode.loss_ce: 0.1810, decode.acc_seg: 92.4979, loss: 0.1810 +2023-03-04 07:18:08,453 - mmseg - INFO - Iter [102050/160000] lr: 4.687e-06, eta: 3:27:53, time: 0.172, data_time: 0.007, memory: 52541, decode.loss_ce: 0.1808, decode.acc_seg: 92.7345, loss: 0.1808 +2023-03-04 07:18:16,979 - mmseg - INFO - Iter [102100/160000] lr: 4.687e-06, eta: 3:27:41, time: 0.171, data_time: 0.007, memory: 52541, decode.loss_ce: 0.1873, decode.acc_seg: 92.1641, loss: 0.1873 +2023-03-04 07:18:25,314 - mmseg - INFO - Iter [102150/160000] lr: 4.687e-06, eta: 3:27:29, time: 0.167, data_time: 0.007, memory: 52541, decode.loss_ce: 0.1877, decode.acc_seg: 92.3554, loss: 0.1877 +2023-03-04 07:18:33,744 - mmseg - INFO - Iter [102200/160000] lr: 4.687e-06, eta: 3:27:17, time: 0.169, data_time: 0.008, memory: 52541, decode.loss_ce: 0.1884, decode.acc_seg: 92.2933, loss: 0.1884 +2023-03-04 07:18:44,878 - mmseg - INFO - Iter [102250/160000] lr: 4.687e-06, eta: 3:27:06, time: 0.222, data_time: 0.060, memory: 52541, decode.loss_ce: 0.1827, decode.acc_seg: 92.4425, loss: 0.1827 +2023-03-04 07:18:53,320 - mmseg - INFO - Iter [102300/160000] lr: 4.687e-06, eta: 3:26:54, time: 0.169, data_time: 0.007, memory: 52541, decode.loss_ce: 0.1900, decode.acc_seg: 92.2199, loss: 0.1900 +2023-03-04 07:19:02,004 - mmseg - INFO - Iter [102350/160000] lr: 4.687e-06, eta: 3:26:42, time: 0.174, data_time: 0.008, memory: 52541, decode.loss_ce: 0.1859, decode.acc_seg: 92.3462, loss: 0.1859 +2023-03-04 07:19:10,600 - mmseg - INFO - Iter [102400/160000] lr: 4.687e-06, eta: 3:26:31, time: 0.172, data_time: 0.007, memory: 52541, decode.loss_ce: 0.1868, decode.acc_seg: 92.3269, loss: 0.1868 +2023-03-04 07:19:19,145 - mmseg - INFO - Iter [102450/160000] lr: 4.687e-06, eta: 3:26:19, time: 0.171, data_time: 0.007, memory: 52541, decode.loss_ce: 0.1943, decode.acc_seg: 92.1140, loss: 0.1943 +2023-03-04 07:19:27,984 - mmseg - INFO - Iter [102500/160000] lr: 4.687e-06, eta: 3:26:07, time: 0.177, data_time: 0.007, memory: 52541, decode.loss_ce: 0.1847, decode.acc_seg: 92.3624, loss: 0.1847 +2023-03-04 07:19:37,033 - mmseg - INFO - Iter [102550/160000] lr: 4.687e-06, eta: 3:25:55, time: 0.181, data_time: 0.007, memory: 52541, decode.loss_ce: 0.1893, decode.acc_seg: 92.3080, loss: 0.1893 +2023-03-04 07:19:45,727 - mmseg - INFO - Iter [102600/160000] lr: 4.687e-06, eta: 3:25:43, time: 0.174, data_time: 0.008, memory: 52541, decode.loss_ce: 0.1921, decode.acc_seg: 92.1799, loss: 0.1921 +2023-03-04 07:19:54,071 - mmseg - INFO - Iter [102650/160000] lr: 4.687e-06, eta: 3:25:31, time: 0.167, data_time: 0.007, memory: 52541, decode.loss_ce: 0.1847, decode.acc_seg: 92.3870, loss: 0.1847 +2023-03-04 07:20:02,712 - mmseg - INFO - Iter [102700/160000] lr: 4.687e-06, eta: 3:25:19, time: 0.173, data_time: 0.008, memory: 52541, decode.loss_ce: 0.1910, decode.acc_seg: 92.0673, loss: 0.1910 +2023-03-04 07:20:10,970 - mmseg - INFO - Iter [102750/160000] lr: 4.687e-06, eta: 3:25:07, time: 0.165, data_time: 0.007, memory: 52541, decode.loss_ce: 0.1820, decode.acc_seg: 92.5258, loss: 0.1820 +2023-03-04 07:20:19,542 - mmseg - INFO - Iter [102800/160000] lr: 4.687e-06, eta: 3:24:55, time: 0.171, data_time: 0.007, memory: 52541, decode.loss_ce: 0.1791, decode.acc_seg: 92.4569, loss: 0.1791 +2023-03-04 07:20:28,076 - mmseg - INFO - Iter [102850/160000] lr: 4.687e-06, eta: 3:24:43, time: 0.171, data_time: 0.007, memory: 52541, decode.loss_ce: 0.1816, decode.acc_seg: 92.5140, loss: 0.1816 +2023-03-04 07:20:39,174 - mmseg - INFO - Iter [102900/160000] lr: 4.687e-06, eta: 3:24:32, time: 0.222, data_time: 0.053, memory: 52541, decode.loss_ce: 0.1786, decode.acc_seg: 92.5924, loss: 0.1786 +2023-03-04 07:20:47,463 - mmseg - INFO - Iter [102950/160000] lr: 4.687e-06, eta: 3:24:20, time: 0.166, data_time: 0.007, memory: 52541, decode.loss_ce: 0.1923, decode.acc_seg: 92.1870, loss: 0.1923 +2023-03-04 07:20:56,044 - mmseg - INFO - Exp name: ablation_segformer_mit_b2_segformer_head_unet_fc_small_multi_step_ade_pretrained_freeze_embed_160k_ade20k151_finetune_ema_winit.py +2023-03-04 07:20:56,044 - mmseg - INFO - Iter [103000/160000] lr: 4.687e-06, eta: 3:24:08, time: 0.172, data_time: 0.007, memory: 52541, decode.loss_ce: 0.1824, decode.acc_seg: 92.3419, loss: 0.1824 +2023-03-04 07:21:04,852 - mmseg - INFO - Iter [103050/160000] lr: 4.687e-06, eta: 3:23:57, time: 0.176, data_time: 0.007, memory: 52541, decode.loss_ce: 0.1905, decode.acc_seg: 92.0943, loss: 0.1905 +2023-03-04 07:21:13,498 - mmseg - INFO - Iter [103100/160000] lr: 4.687e-06, eta: 3:23:45, time: 0.173, data_time: 0.007, memory: 52541, decode.loss_ce: 0.1862, decode.acc_seg: 92.2037, loss: 0.1862 +2023-03-04 07:21:22,193 - mmseg - INFO - Iter [103150/160000] lr: 4.687e-06, eta: 3:23:33, time: 0.174, data_time: 0.007, memory: 52541, decode.loss_ce: 0.1831, decode.acc_seg: 92.3767, loss: 0.1831 +2023-03-04 07:21:30,880 - mmseg - INFO - Iter [103200/160000] lr: 4.687e-06, eta: 3:23:21, time: 0.174, data_time: 0.007, memory: 52541, decode.loss_ce: 0.1930, decode.acc_seg: 92.0851, loss: 0.1930 +2023-03-04 07:21:39,328 - mmseg - INFO - Iter [103250/160000] lr: 4.687e-06, eta: 3:23:09, time: 0.169, data_time: 0.008, memory: 52541, decode.loss_ce: 0.1824, decode.acc_seg: 92.5244, loss: 0.1824 +2023-03-04 07:21:48,041 - mmseg - INFO - Iter [103300/160000] lr: 4.687e-06, eta: 3:22:57, time: 0.174, data_time: 0.007, memory: 52541, decode.loss_ce: 0.1899, decode.acc_seg: 92.2149, loss: 0.1899 +2023-03-04 07:21:56,738 - mmseg - INFO - Iter [103350/160000] lr: 4.687e-06, eta: 3:22:45, time: 0.174, data_time: 0.007, memory: 52541, decode.loss_ce: 0.1872, decode.acc_seg: 92.3229, loss: 0.1872 +2023-03-04 07:22:05,706 - mmseg - INFO - Iter [103400/160000] lr: 4.687e-06, eta: 3:22:33, time: 0.179, data_time: 0.007, memory: 52541, decode.loss_ce: 0.1845, decode.acc_seg: 92.4271, loss: 0.1845 +2023-03-04 07:22:14,192 - mmseg - INFO - Iter [103450/160000] lr: 4.687e-06, eta: 3:22:22, time: 0.170, data_time: 0.007, memory: 52541, decode.loss_ce: 0.1805, decode.acc_seg: 92.5720, loss: 0.1805 +2023-03-04 07:22:25,210 - mmseg - INFO - Iter [103500/160000] lr: 4.687e-06, eta: 3:22:11, time: 0.220, data_time: 0.058, memory: 52541, decode.loss_ce: 0.1878, decode.acc_seg: 92.2882, loss: 0.1878 +2023-03-04 07:22:33,738 - mmseg - INFO - Iter [103550/160000] lr: 4.687e-06, eta: 3:21:59, time: 0.171, data_time: 0.007, memory: 52541, decode.loss_ce: 0.1849, decode.acc_seg: 92.4460, loss: 0.1849 +2023-03-04 07:22:42,384 - mmseg - INFO - Iter [103600/160000] lr: 4.687e-06, eta: 3:21:47, time: 0.173, data_time: 0.007, memory: 52541, decode.loss_ce: 0.1824, decode.acc_seg: 92.4021, loss: 0.1824 +2023-03-04 07:22:51,166 - mmseg - INFO - Iter [103650/160000] lr: 4.687e-06, eta: 3:21:35, time: 0.176, data_time: 0.007, memory: 52541, decode.loss_ce: 0.1856, decode.acc_seg: 92.3250, loss: 0.1856 +2023-03-04 07:22:59,836 - mmseg - INFO - Iter [103700/160000] lr: 4.687e-06, eta: 3:21:23, time: 0.173, data_time: 0.007, memory: 52541, decode.loss_ce: 0.1872, decode.acc_seg: 92.4059, loss: 0.1872 +2023-03-04 07:23:08,550 - mmseg - INFO - Iter [103750/160000] lr: 4.687e-06, eta: 3:21:12, time: 0.175, data_time: 0.007, memory: 52541, decode.loss_ce: 0.1890, decode.acc_seg: 92.2114, loss: 0.1890 +2023-03-04 07:23:17,026 - mmseg - INFO - Iter [103800/160000] lr: 4.687e-06, eta: 3:21:00, time: 0.170, data_time: 0.007, memory: 52541, decode.loss_ce: 0.1874, decode.acc_seg: 92.1984, loss: 0.1874 +2023-03-04 07:23:25,615 - mmseg - INFO - Iter [103850/160000] lr: 4.687e-06, eta: 3:20:48, time: 0.172, data_time: 0.007, memory: 52541, decode.loss_ce: 0.1875, decode.acc_seg: 92.2786, loss: 0.1875 +2023-03-04 07:23:34,151 - mmseg - INFO - Iter [103900/160000] lr: 4.687e-06, eta: 3:20:36, time: 0.171, data_time: 0.007, memory: 52541, decode.loss_ce: 0.1855, decode.acc_seg: 92.3991, loss: 0.1855 +2023-03-04 07:23:42,472 - mmseg - INFO - Iter [103950/160000] lr: 4.687e-06, eta: 3:20:24, time: 0.166, data_time: 0.007, memory: 52541, decode.loss_ce: 0.1939, decode.acc_seg: 92.1826, loss: 0.1939 +2023-03-04 07:23:51,074 - mmseg - INFO - Exp name: ablation_segformer_mit_b2_segformer_head_unet_fc_small_multi_step_ade_pretrained_freeze_embed_160k_ade20k151_finetune_ema_winit.py +2023-03-04 07:23:51,074 - mmseg - INFO - Iter [104000/160000] lr: 4.687e-06, eta: 3:20:12, time: 0.172, data_time: 0.007, memory: 52541, decode.loss_ce: 0.1958, decode.acc_seg: 91.9037, loss: 0.1958 +2023-03-04 07:23:59,544 - mmseg - INFO - Iter [104050/160000] lr: 4.687e-06, eta: 3:20:00, time: 0.169, data_time: 0.007, memory: 52541, decode.loss_ce: 0.1829, decode.acc_seg: 92.3932, loss: 0.1829 +2023-03-04 07:24:07,877 - mmseg - INFO - Iter [104100/160000] lr: 4.687e-06, eta: 3:19:48, time: 0.167, data_time: 0.008, memory: 52541, decode.loss_ce: 0.1817, decode.acc_seg: 92.4845, loss: 0.1817 +2023-03-04 07:24:18,736 - mmseg - INFO - Iter [104150/160000] lr: 4.687e-06, eta: 3:19:37, time: 0.217, data_time: 0.053, memory: 52541, decode.loss_ce: 0.1946, decode.acc_seg: 92.2255, loss: 0.1946 +2023-03-04 07:24:27,440 - mmseg - INFO - Iter [104200/160000] lr: 4.687e-06, eta: 3:19:26, time: 0.174, data_time: 0.007, memory: 52541, decode.loss_ce: 0.1815, decode.acc_seg: 92.6106, loss: 0.1815 +2023-03-04 07:24:36,283 - mmseg - INFO - Iter [104250/160000] lr: 4.687e-06, eta: 3:19:14, time: 0.177, data_time: 0.007, memory: 52541, decode.loss_ce: 0.1814, decode.acc_seg: 92.5118, loss: 0.1814 +2023-03-04 07:24:44,788 - mmseg - INFO - Iter [104300/160000] lr: 4.687e-06, eta: 3:19:02, time: 0.170, data_time: 0.007, memory: 52541, decode.loss_ce: 0.1863, decode.acc_seg: 92.2492, loss: 0.1863 +2023-03-04 07:24:53,157 - mmseg - INFO - Iter [104350/160000] lr: 4.687e-06, eta: 3:18:50, time: 0.167, data_time: 0.007, memory: 52541, decode.loss_ce: 0.1842, decode.acc_seg: 92.4124, loss: 0.1842 +2023-03-04 07:25:01,608 - mmseg - INFO - Iter [104400/160000] lr: 4.687e-06, eta: 3:18:38, time: 0.169, data_time: 0.007, memory: 52541, decode.loss_ce: 0.1884, decode.acc_seg: 92.1821, loss: 0.1884 +2023-03-04 07:25:10,344 - mmseg - INFO - Iter [104450/160000] lr: 4.687e-06, eta: 3:18:26, time: 0.175, data_time: 0.007, memory: 52541, decode.loss_ce: 0.1893, decode.acc_seg: 92.2858, loss: 0.1893 +2023-03-04 07:25:18,645 - mmseg - INFO - Iter [104500/160000] lr: 4.687e-06, eta: 3:18:14, time: 0.166, data_time: 0.007, memory: 52541, decode.loss_ce: 0.1902, decode.acc_seg: 92.1962, loss: 0.1902 +2023-03-04 07:25:27,109 - mmseg - INFO - Iter [104550/160000] lr: 4.687e-06, eta: 3:18:02, time: 0.169, data_time: 0.007, memory: 52541, decode.loss_ce: 0.1913, decode.acc_seg: 92.1880, loss: 0.1913 +2023-03-04 07:25:35,671 - mmseg - INFO - Iter [104600/160000] lr: 4.687e-06, eta: 3:17:51, time: 0.172, data_time: 0.007, memory: 52541, decode.loss_ce: 0.1959, decode.acc_seg: 92.0336, loss: 0.1959 +2023-03-04 07:25:44,160 - mmseg - INFO - Iter [104650/160000] lr: 4.687e-06, eta: 3:17:39, time: 0.170, data_time: 0.007, memory: 52541, decode.loss_ce: 0.1872, decode.acc_seg: 92.2615, loss: 0.1872 +2023-03-04 07:25:52,871 - mmseg - INFO - Iter [104700/160000] lr: 4.687e-06, eta: 3:17:27, time: 0.174, data_time: 0.008, memory: 52541, decode.loss_ce: 0.1807, decode.acc_seg: 92.4712, loss: 0.1807 +2023-03-04 07:26:03,995 - mmseg - INFO - Iter [104750/160000] lr: 4.687e-06, eta: 3:17:16, time: 0.222, data_time: 0.055, memory: 52541, decode.loss_ce: 0.1863, decode.acc_seg: 92.3750, loss: 0.1863 +2023-03-04 07:26:12,621 - mmseg - INFO - Iter [104800/160000] lr: 4.687e-06, eta: 3:17:05, time: 0.173, data_time: 0.007, memory: 52541, decode.loss_ce: 0.1875, decode.acc_seg: 92.2817, loss: 0.1875 +2023-03-04 07:26:21,715 - mmseg - INFO - Iter [104850/160000] lr: 4.687e-06, eta: 3:16:53, time: 0.182, data_time: 0.007, memory: 52541, decode.loss_ce: 0.1842, decode.acc_seg: 92.4518, loss: 0.1842 +2023-03-04 07:26:30,775 - mmseg - INFO - Iter [104900/160000] lr: 4.687e-06, eta: 3:16:41, time: 0.181, data_time: 0.006, memory: 52541, decode.loss_ce: 0.1814, decode.acc_seg: 92.5425, loss: 0.1814 +2023-03-04 07:26:39,765 - mmseg - INFO - Iter [104950/160000] lr: 4.687e-06, eta: 3:16:30, time: 0.180, data_time: 0.007, memory: 52541, decode.loss_ce: 0.1852, decode.acc_seg: 92.3016, loss: 0.1852 +2023-03-04 07:26:48,338 - mmseg - INFO - Exp name: ablation_segformer_mit_b2_segformer_head_unet_fc_small_multi_step_ade_pretrained_freeze_embed_160k_ade20k151_finetune_ema_winit.py +2023-03-04 07:26:48,339 - mmseg - INFO - Iter [105000/160000] lr: 4.687e-06, eta: 3:16:18, time: 0.171, data_time: 0.007, memory: 52541, decode.loss_ce: 0.1827, decode.acc_seg: 92.5619, loss: 0.1827 +2023-03-04 07:26:56,695 - mmseg - INFO - Iter [105050/160000] lr: 4.687e-06, eta: 3:16:06, time: 0.167, data_time: 0.007, memory: 52541, decode.loss_ce: 0.1840, decode.acc_seg: 92.5341, loss: 0.1840 +2023-03-04 07:27:05,285 - mmseg - INFO - Iter [105100/160000] lr: 4.687e-06, eta: 3:15:54, time: 0.172, data_time: 0.008, memory: 52541, decode.loss_ce: 0.1809, decode.acc_seg: 92.4600, loss: 0.1809 +2023-03-04 07:27:13,847 - mmseg - INFO - Iter [105150/160000] lr: 4.687e-06, eta: 3:15:42, time: 0.171, data_time: 0.007, memory: 52541, decode.loss_ce: 0.1838, decode.acc_seg: 92.3617, loss: 0.1838 +2023-03-04 07:27:22,430 - mmseg - INFO - Iter [105200/160000] lr: 4.687e-06, eta: 3:15:31, time: 0.172, data_time: 0.007, memory: 52541, decode.loss_ce: 0.1877, decode.acc_seg: 92.3681, loss: 0.1877 +2023-03-04 07:27:31,522 - mmseg - INFO - Iter [105250/160000] lr: 4.687e-06, eta: 3:15:19, time: 0.182, data_time: 0.006, memory: 52541, decode.loss_ce: 0.1904, decode.acc_seg: 92.3353, loss: 0.1904 +2023-03-04 07:27:40,197 - mmseg - INFO - Iter [105300/160000] lr: 4.687e-06, eta: 3:15:07, time: 0.174, data_time: 0.007, memory: 52541, decode.loss_ce: 0.1838, decode.acc_seg: 92.3629, loss: 0.1838 +2023-03-04 07:27:48,978 - mmseg - INFO - Iter [105350/160000] lr: 4.687e-06, eta: 3:14:56, time: 0.175, data_time: 0.007, memory: 52541, decode.loss_ce: 0.1898, decode.acc_seg: 92.2370, loss: 0.1898 +2023-03-04 07:27:59,959 - mmseg - INFO - Iter [105400/160000] lr: 4.687e-06, eta: 3:14:45, time: 0.220, data_time: 0.057, memory: 52541, decode.loss_ce: 0.1863, decode.acc_seg: 92.3974, loss: 0.1863 +2023-03-04 07:28:08,679 - mmseg - INFO - Iter [105450/160000] lr: 4.687e-06, eta: 3:14:33, time: 0.174, data_time: 0.006, memory: 52541, decode.loss_ce: 0.1818, decode.acc_seg: 92.4804, loss: 0.1818 +2023-03-04 07:28:17,369 - mmseg - INFO - Iter [105500/160000] lr: 4.687e-06, eta: 3:14:22, time: 0.174, data_time: 0.007, memory: 52541, decode.loss_ce: 0.1895, decode.acc_seg: 92.2248, loss: 0.1895 +2023-03-04 07:28:25,909 - mmseg - INFO - Iter [105550/160000] lr: 4.687e-06, eta: 3:14:10, time: 0.171, data_time: 0.007, memory: 52541, decode.loss_ce: 0.1905, decode.acc_seg: 92.2921, loss: 0.1905 +2023-03-04 07:28:34,375 - mmseg - INFO - Iter [105600/160000] lr: 4.687e-06, eta: 3:13:58, time: 0.169, data_time: 0.007, memory: 52541, decode.loss_ce: 0.1922, decode.acc_seg: 92.0341, loss: 0.1922 +2023-03-04 07:28:43,506 - mmseg - INFO - Iter [105650/160000] lr: 4.687e-06, eta: 3:13:46, time: 0.183, data_time: 0.007, memory: 52541, decode.loss_ce: 0.1871, decode.acc_seg: 92.2288, loss: 0.1871 +2023-03-04 07:28:51,820 - mmseg - INFO - Iter [105700/160000] lr: 4.687e-06, eta: 3:13:34, time: 0.166, data_time: 0.007, memory: 52541, decode.loss_ce: 0.1888, decode.acc_seg: 92.2743, loss: 0.1888 +2023-03-04 07:29:00,349 - mmseg - INFO - Iter [105750/160000] lr: 4.687e-06, eta: 3:13:23, time: 0.171, data_time: 0.007, memory: 52541, decode.loss_ce: 0.1841, decode.acc_seg: 92.3619, loss: 0.1841 +2023-03-04 07:29:08,995 - mmseg - INFO - Iter [105800/160000] lr: 4.687e-06, eta: 3:13:11, time: 0.173, data_time: 0.007, memory: 52541, decode.loss_ce: 0.1854, decode.acc_seg: 92.4380, loss: 0.1854 +2023-03-04 07:29:17,364 - mmseg - INFO - Iter [105850/160000] lr: 4.687e-06, eta: 3:12:59, time: 0.168, data_time: 0.007, memory: 52541, decode.loss_ce: 0.1828, decode.acc_seg: 92.3745, loss: 0.1828 +2023-03-04 07:29:25,793 - mmseg - INFO - Iter [105900/160000] lr: 4.687e-06, eta: 3:12:47, time: 0.168, data_time: 0.007, memory: 52541, decode.loss_ce: 0.1918, decode.acc_seg: 92.2491, loss: 0.1918 +2023-03-04 07:29:34,294 - mmseg - INFO - Iter [105950/160000] lr: 4.687e-06, eta: 3:12:35, time: 0.170, data_time: 0.007, memory: 52541, decode.loss_ce: 0.1874, decode.acc_seg: 92.2488, loss: 0.1874 +2023-03-04 07:29:42,836 - mmseg - INFO - Exp name: ablation_segformer_mit_b2_segformer_head_unet_fc_small_multi_step_ade_pretrained_freeze_embed_160k_ade20k151_finetune_ema_winit.py +2023-03-04 07:29:42,836 - mmseg - INFO - Iter [106000/160000] lr: 4.687e-06, eta: 3:12:24, time: 0.171, data_time: 0.007, memory: 52541, decode.loss_ce: 0.1938, decode.acc_seg: 91.9553, loss: 0.1938 +2023-03-04 07:29:53,831 - mmseg - INFO - Iter [106050/160000] lr: 4.687e-06, eta: 3:12:13, time: 0.220, data_time: 0.053, memory: 52541, decode.loss_ce: 0.1823, decode.acc_seg: 92.4800, loss: 0.1823 +2023-03-04 07:30:02,514 - mmseg - INFO - Iter [106100/160000] lr: 4.687e-06, eta: 3:12:01, time: 0.174, data_time: 0.007, memory: 52541, decode.loss_ce: 0.1891, decode.acc_seg: 92.2637, loss: 0.1891 +2023-03-04 07:30:11,427 - mmseg - INFO - Iter [106150/160000] lr: 4.687e-06, eta: 3:11:50, time: 0.178, data_time: 0.008, memory: 52541, decode.loss_ce: 0.1898, decode.acc_seg: 92.1276, loss: 0.1898 +2023-03-04 07:30:19,979 - mmseg - INFO - Iter [106200/160000] lr: 4.687e-06, eta: 3:11:38, time: 0.171, data_time: 0.007, memory: 52541, decode.loss_ce: 0.1903, decode.acc_seg: 92.1975, loss: 0.1903 +2023-03-04 07:30:28,935 - mmseg - INFO - Iter [106250/160000] lr: 4.687e-06, eta: 3:11:26, time: 0.179, data_time: 0.006, memory: 52541, decode.loss_ce: 0.1832, decode.acc_seg: 92.3939, loss: 0.1832 +2023-03-04 07:30:38,375 - mmseg - INFO - Iter [106300/160000] lr: 4.687e-06, eta: 3:11:15, time: 0.189, data_time: 0.008, memory: 52541, decode.loss_ce: 0.1836, decode.acc_seg: 92.4720, loss: 0.1836 +2023-03-04 07:30:46,994 - mmseg - INFO - Iter [106350/160000] lr: 4.687e-06, eta: 3:11:03, time: 0.172, data_time: 0.007, memory: 52541, decode.loss_ce: 0.1930, decode.acc_seg: 92.0451, loss: 0.1930 +2023-03-04 07:30:55,469 - mmseg - INFO - Iter [106400/160000] lr: 4.687e-06, eta: 3:10:52, time: 0.170, data_time: 0.007, memory: 52541, decode.loss_ce: 0.1948, decode.acc_seg: 92.1260, loss: 0.1948 +2023-03-04 07:31:04,079 - mmseg - INFO - Iter [106450/160000] lr: 4.687e-06, eta: 3:10:40, time: 0.172, data_time: 0.007, memory: 52541, decode.loss_ce: 0.1808, decode.acc_seg: 92.5535, loss: 0.1808 +2023-03-04 07:31:12,832 - mmseg - INFO - Iter [106500/160000] lr: 4.687e-06, eta: 3:10:28, time: 0.175, data_time: 0.007, memory: 52541, decode.loss_ce: 0.1821, decode.acc_seg: 92.4662, loss: 0.1821 +2023-03-04 07:31:21,266 - mmseg - INFO - Iter [106550/160000] lr: 4.687e-06, eta: 3:10:16, time: 0.169, data_time: 0.007, memory: 52541, decode.loss_ce: 0.1853, decode.acc_seg: 92.2952, loss: 0.1853 +2023-03-04 07:31:30,004 - mmseg - INFO - Iter [106600/160000] lr: 4.687e-06, eta: 3:10:05, time: 0.175, data_time: 0.007, memory: 52541, decode.loss_ce: 0.1782, decode.acc_seg: 92.6582, loss: 0.1782 +2023-03-04 07:31:40,940 - mmseg - INFO - Iter [106650/160000] lr: 4.687e-06, eta: 3:09:54, time: 0.219, data_time: 0.055, memory: 52541, decode.loss_ce: 0.1910, decode.acc_seg: 92.2882, loss: 0.1910 +2023-03-04 07:31:50,059 - mmseg - INFO - Iter [106700/160000] lr: 4.687e-06, eta: 3:09:43, time: 0.183, data_time: 0.007, memory: 52541, decode.loss_ce: 0.1861, decode.acc_seg: 92.2236, loss: 0.1861 +2023-03-04 07:31:58,316 - mmseg - INFO - Iter [106750/160000] lr: 4.687e-06, eta: 3:09:31, time: 0.165, data_time: 0.007, memory: 52541, decode.loss_ce: 0.1885, decode.acc_seg: 92.2886, loss: 0.1885 +2023-03-04 07:32:06,973 - mmseg - INFO - Iter [106800/160000] lr: 4.687e-06, eta: 3:09:19, time: 0.173, data_time: 0.008, memory: 52541, decode.loss_ce: 0.1874, decode.acc_seg: 92.2723, loss: 0.1874 +2023-03-04 07:32:15,705 - mmseg - INFO - Iter [106850/160000] lr: 4.687e-06, eta: 3:09:08, time: 0.175, data_time: 0.007, memory: 52541, decode.loss_ce: 0.1792, decode.acc_seg: 92.5846, loss: 0.1792 +2023-03-04 07:32:24,375 - mmseg - INFO - Iter [106900/160000] lr: 4.687e-06, eta: 3:08:56, time: 0.173, data_time: 0.007, memory: 52541, decode.loss_ce: 0.1835, decode.acc_seg: 92.3770, loss: 0.1835 +2023-03-04 07:32:32,797 - mmseg - INFO - Iter [106950/160000] lr: 4.687e-06, eta: 3:08:44, time: 0.169, data_time: 0.008, memory: 52541, decode.loss_ce: 0.1865, decode.acc_seg: 92.3302, loss: 0.1865 +2023-03-04 07:32:41,298 - mmseg - INFO - Exp name: ablation_segformer_mit_b2_segformer_head_unet_fc_small_multi_step_ade_pretrained_freeze_embed_160k_ade20k151_finetune_ema_winit.py +2023-03-04 07:32:41,298 - mmseg - INFO - Iter [107000/160000] lr: 4.687e-06, eta: 3:08:32, time: 0.170, data_time: 0.007, memory: 52541, decode.loss_ce: 0.1853, decode.acc_seg: 92.3429, loss: 0.1853 +2023-03-04 07:32:50,117 - mmseg - INFO - Iter [107050/160000] lr: 4.687e-06, eta: 3:08:21, time: 0.176, data_time: 0.007, memory: 52541, decode.loss_ce: 0.1906, decode.acc_seg: 92.2988, loss: 0.1906 +2023-03-04 07:32:59,001 - mmseg - INFO - Iter [107100/160000] lr: 4.687e-06, eta: 3:08:09, time: 0.177, data_time: 0.007, memory: 52541, decode.loss_ce: 0.1919, decode.acc_seg: 92.0183, loss: 0.1919 +2023-03-04 07:33:07,519 - mmseg - INFO - Iter [107150/160000] lr: 4.687e-06, eta: 3:07:57, time: 0.171, data_time: 0.007, memory: 52541, decode.loss_ce: 0.1900, decode.acc_seg: 92.0691, loss: 0.1900 +2023-03-04 07:33:16,118 - mmseg - INFO - Iter [107200/160000] lr: 4.687e-06, eta: 3:07:46, time: 0.172, data_time: 0.007, memory: 52541, decode.loss_ce: 0.1963, decode.acc_seg: 92.0151, loss: 0.1963 +2023-03-04 07:33:24,868 - mmseg - INFO - Iter [107250/160000] lr: 4.687e-06, eta: 3:07:34, time: 0.175, data_time: 0.007, memory: 52541, decode.loss_ce: 0.1839, decode.acc_seg: 92.3792, loss: 0.1839 +2023-03-04 07:33:36,049 - mmseg - INFO - Iter [107300/160000] lr: 4.687e-06, eta: 3:07:24, time: 0.223, data_time: 0.054, memory: 52541, decode.loss_ce: 0.1844, decode.acc_seg: 92.2673, loss: 0.1844 +2023-03-04 07:33:44,862 - mmseg - INFO - Iter [107350/160000] lr: 4.687e-06, eta: 3:07:12, time: 0.176, data_time: 0.007, memory: 52541, decode.loss_ce: 0.1765, decode.acc_seg: 92.6512, loss: 0.1765 +2023-03-04 07:33:53,277 - mmseg - INFO - Iter [107400/160000] lr: 4.687e-06, eta: 3:07:00, time: 0.168, data_time: 0.007, memory: 52541, decode.loss_ce: 0.1899, decode.acc_seg: 92.1840, loss: 0.1899 +2023-03-04 07:34:01,892 - mmseg - INFO - Iter [107450/160000] lr: 4.687e-06, eta: 3:06:49, time: 0.173, data_time: 0.007, memory: 52541, decode.loss_ce: 0.1880, decode.acc_seg: 92.3893, loss: 0.1880 +2023-03-04 07:34:10,241 - mmseg - INFO - Iter [107500/160000] lr: 4.687e-06, eta: 3:06:37, time: 0.167, data_time: 0.007, memory: 52541, decode.loss_ce: 0.1857, decode.acc_seg: 92.4543, loss: 0.1857 +2023-03-04 07:34:18,466 - mmseg - INFO - Iter [107550/160000] lr: 4.687e-06, eta: 3:06:25, time: 0.164, data_time: 0.007, memory: 52541, decode.loss_ce: 0.1909, decode.acc_seg: 92.1123, loss: 0.1909 +2023-03-04 07:34:27,623 - mmseg - INFO - Iter [107600/160000] lr: 4.687e-06, eta: 3:06:14, time: 0.183, data_time: 0.008, memory: 52541, decode.loss_ce: 0.1885, decode.acc_seg: 92.3677, loss: 0.1885 +2023-03-04 07:34:35,947 - mmseg - INFO - Iter [107650/160000] lr: 4.687e-06, eta: 3:06:02, time: 0.166, data_time: 0.007, memory: 52541, decode.loss_ce: 0.1843, decode.acc_seg: 92.2785, loss: 0.1843 +2023-03-04 07:34:44,478 - mmseg - INFO - Iter [107700/160000] lr: 4.687e-06, eta: 3:05:50, time: 0.171, data_time: 0.007, memory: 52541, decode.loss_ce: 0.1801, decode.acc_seg: 92.5432, loss: 0.1801 +2023-03-04 07:34:53,251 - mmseg - INFO - Iter [107750/160000] lr: 4.687e-06, eta: 3:05:39, time: 0.175, data_time: 0.007, memory: 52541, decode.loss_ce: 0.1862, decode.acc_seg: 92.2205, loss: 0.1862 +2023-03-04 07:35:01,797 - mmseg - INFO - Iter [107800/160000] lr: 4.687e-06, eta: 3:05:27, time: 0.171, data_time: 0.007, memory: 52541, decode.loss_ce: 0.1868, decode.acc_seg: 92.4635, loss: 0.1868 +2023-03-04 07:35:10,168 - mmseg - INFO - Iter [107850/160000] lr: 4.687e-06, eta: 3:05:15, time: 0.167, data_time: 0.007, memory: 52541, decode.loss_ce: 0.1865, decode.acc_seg: 92.4223, loss: 0.1865 +2023-03-04 07:35:18,496 - mmseg - INFO - Iter [107900/160000] lr: 4.687e-06, eta: 3:05:03, time: 0.167, data_time: 0.007, memory: 52541, decode.loss_ce: 0.1945, decode.acc_seg: 92.0268, loss: 0.1945 +2023-03-04 07:35:30,077 - mmseg - INFO - Iter [107950/160000] lr: 4.687e-06, eta: 3:04:53, time: 0.231, data_time: 0.056, memory: 52541, decode.loss_ce: 0.1802, decode.acc_seg: 92.4776, loss: 0.1802 +2023-03-04 07:35:38,591 - mmseg - INFO - Exp name: ablation_segformer_mit_b2_segformer_head_unet_fc_small_multi_step_ade_pretrained_freeze_embed_160k_ade20k151_finetune_ema_winit.py +2023-03-04 07:35:38,591 - mmseg - INFO - Iter [108000/160000] lr: 4.687e-06, eta: 3:04:41, time: 0.171, data_time: 0.008, memory: 52541, decode.loss_ce: 0.1899, decode.acc_seg: 92.1538, loss: 0.1899 +2023-03-04 07:35:47,479 - mmseg - INFO - Iter [108050/160000] lr: 4.687e-06, eta: 3:04:30, time: 0.178, data_time: 0.007, memory: 52541, decode.loss_ce: 0.1861, decode.acc_seg: 92.2876, loss: 0.1861 +2023-03-04 07:35:55,907 - mmseg - INFO - Iter [108100/160000] lr: 4.687e-06, eta: 3:04:18, time: 0.169, data_time: 0.007, memory: 52541, decode.loss_ce: 0.1828, decode.acc_seg: 92.4405, loss: 0.1828 +2023-03-04 07:36:04,721 - mmseg - INFO - Iter [108150/160000] lr: 4.687e-06, eta: 3:04:07, time: 0.176, data_time: 0.007, memory: 52541, decode.loss_ce: 0.1836, decode.acc_seg: 92.4555, loss: 0.1836 +2023-03-04 07:36:13,460 - mmseg - INFO - Iter [108200/160000] lr: 4.687e-06, eta: 3:03:55, time: 0.175, data_time: 0.007, memory: 52541, decode.loss_ce: 0.1873, decode.acc_seg: 92.2815, loss: 0.1873 +2023-03-04 07:36:21,795 - mmseg - INFO - Iter [108250/160000] lr: 4.687e-06, eta: 3:03:43, time: 0.167, data_time: 0.007, memory: 52541, decode.loss_ce: 0.1866, decode.acc_seg: 92.2909, loss: 0.1866 +2023-03-04 07:36:30,714 - mmseg - INFO - Iter [108300/160000] lr: 4.687e-06, eta: 3:03:32, time: 0.178, data_time: 0.007, memory: 52541, decode.loss_ce: 0.1817, decode.acc_seg: 92.5059, loss: 0.1817 +2023-03-04 07:36:39,384 - mmseg - INFO - Iter [108350/160000] lr: 4.687e-06, eta: 3:03:20, time: 0.173, data_time: 0.007, memory: 52541, decode.loss_ce: 0.1887, decode.acc_seg: 92.1815, loss: 0.1887 +2023-03-04 07:36:48,262 - mmseg - INFO - Iter [108400/160000] lr: 4.687e-06, eta: 3:03:09, time: 0.178, data_time: 0.008, memory: 52541, decode.loss_ce: 0.1769, decode.acc_seg: 92.6970, loss: 0.1769 +2023-03-04 07:36:56,627 - mmseg - INFO - Iter [108450/160000] lr: 4.687e-06, eta: 3:02:57, time: 0.167, data_time: 0.007, memory: 52541, decode.loss_ce: 0.1838, decode.acc_seg: 92.4341, loss: 0.1838 +2023-03-04 07:37:05,380 - mmseg - INFO - Iter [108500/160000] lr: 4.687e-06, eta: 3:02:46, time: 0.175, data_time: 0.008, memory: 52541, decode.loss_ce: 0.1868, decode.acc_seg: 92.3853, loss: 0.1868 +2023-03-04 07:37:16,221 - mmseg - INFO - Iter [108550/160000] lr: 4.687e-06, eta: 3:02:35, time: 0.217, data_time: 0.054, memory: 52541, decode.loss_ce: 0.1785, decode.acc_seg: 92.6452, loss: 0.1785 +2023-03-04 07:37:24,622 - mmseg - INFO - Iter [108600/160000] lr: 4.687e-06, eta: 3:02:23, time: 0.168, data_time: 0.007, memory: 52541, decode.loss_ce: 0.1830, decode.acc_seg: 92.4663, loss: 0.1830 +2023-03-04 07:37:33,419 - mmseg - INFO - Iter [108650/160000] lr: 4.687e-06, eta: 3:02:12, time: 0.176, data_time: 0.008, memory: 52541, decode.loss_ce: 0.1816, decode.acc_seg: 92.4159, loss: 0.1816 +2023-03-04 07:37:41,642 - mmseg - INFO - Iter [108700/160000] lr: 4.687e-06, eta: 3:02:00, time: 0.164, data_time: 0.007, memory: 52541, decode.loss_ce: 0.1903, decode.acc_seg: 92.2836, loss: 0.1903 +2023-03-04 07:37:50,116 - mmseg - INFO - Iter [108750/160000] lr: 4.687e-06, eta: 3:01:48, time: 0.169, data_time: 0.007, memory: 52541, decode.loss_ce: 0.1851, decode.acc_seg: 92.4179, loss: 0.1851 +2023-03-04 07:37:58,534 - mmseg - INFO - Iter [108800/160000] lr: 4.687e-06, eta: 3:01:37, time: 0.169, data_time: 0.007, memory: 52541, decode.loss_ce: 0.1857, decode.acc_seg: 92.3589, loss: 0.1857 +2023-03-04 07:38:06,994 - mmseg - INFO - Iter [108850/160000] lr: 4.687e-06, eta: 3:01:25, time: 0.169, data_time: 0.007, memory: 52541, decode.loss_ce: 0.1855, decode.acc_seg: 92.3254, loss: 0.1855 +2023-03-04 07:38:15,929 - mmseg - INFO - Iter [108900/160000] lr: 4.687e-06, eta: 3:01:13, time: 0.179, data_time: 0.007, memory: 52541, decode.loss_ce: 0.1761, decode.acc_seg: 92.6886, loss: 0.1761 +2023-03-04 07:38:24,767 - mmseg - INFO - Iter [108950/160000] lr: 4.687e-06, eta: 3:01:02, time: 0.177, data_time: 0.007, memory: 52541, decode.loss_ce: 0.1885, decode.acc_seg: 92.2541, loss: 0.1885 +2023-03-04 07:38:33,544 - mmseg - INFO - Exp name: ablation_segformer_mit_b2_segformer_head_unet_fc_small_multi_step_ade_pretrained_freeze_embed_160k_ade20k151_finetune_ema_winit.py +2023-03-04 07:38:33,545 - mmseg - INFO - Iter [109000/160000] lr: 4.687e-06, eta: 3:00:51, time: 0.176, data_time: 0.007, memory: 52541, decode.loss_ce: 0.1941, decode.acc_seg: 92.0495, loss: 0.1941 +2023-03-04 07:38:42,041 - mmseg - INFO - Iter [109050/160000] lr: 4.687e-06, eta: 3:00:39, time: 0.170, data_time: 0.007, memory: 52541, decode.loss_ce: 0.1894, decode.acc_seg: 92.2859, loss: 0.1894 +2023-03-04 07:38:50,232 - mmseg - INFO - Iter [109100/160000] lr: 4.687e-06, eta: 3:00:27, time: 0.164, data_time: 0.007, memory: 52541, decode.loss_ce: 0.1862, decode.acc_seg: 92.3460, loss: 0.1862 +2023-03-04 07:38:59,136 - mmseg - INFO - Iter [109150/160000] lr: 4.687e-06, eta: 3:00:16, time: 0.178, data_time: 0.007, memory: 52541, decode.loss_ce: 0.1826, decode.acc_seg: 92.4247, loss: 0.1826 +2023-03-04 07:39:10,053 - mmseg - INFO - Iter [109200/160000] lr: 4.687e-06, eta: 3:00:05, time: 0.218, data_time: 0.054, memory: 52541, decode.loss_ce: 0.1926, decode.acc_seg: 92.1768, loss: 0.1926 +2023-03-04 07:39:18,671 - mmseg - INFO - Iter [109250/160000] lr: 4.687e-06, eta: 2:59:54, time: 0.172, data_time: 0.007, memory: 52541, decode.loss_ce: 0.1857, decode.acc_seg: 92.3108, loss: 0.1857 +2023-03-04 07:39:27,326 - mmseg - INFO - Iter [109300/160000] lr: 4.687e-06, eta: 2:59:42, time: 0.173, data_time: 0.007, memory: 52541, decode.loss_ce: 0.1822, decode.acc_seg: 92.6066, loss: 0.1822 +2023-03-04 07:39:35,791 - mmseg - INFO - Iter [109350/160000] lr: 4.687e-06, eta: 2:59:30, time: 0.169, data_time: 0.007, memory: 52541, decode.loss_ce: 0.1844, decode.acc_seg: 92.5277, loss: 0.1844 +2023-03-04 07:39:44,419 - mmseg - INFO - Iter [109400/160000] lr: 4.687e-06, eta: 2:59:19, time: 0.173, data_time: 0.007, memory: 52541, decode.loss_ce: 0.1900, decode.acc_seg: 92.2776, loss: 0.1900 +2023-03-04 07:39:52,729 - mmseg - INFO - Iter [109450/160000] lr: 4.687e-06, eta: 2:59:07, time: 0.166, data_time: 0.007, memory: 52541, decode.loss_ce: 0.1910, decode.acc_seg: 92.2288, loss: 0.1910 +2023-03-04 07:40:01,348 - mmseg - INFO - Iter [109500/160000] lr: 4.687e-06, eta: 2:58:56, time: 0.172, data_time: 0.007, memory: 52541, decode.loss_ce: 0.1879, decode.acc_seg: 92.2725, loss: 0.1879 +2023-03-04 07:40:09,890 - mmseg - INFO - Iter [109550/160000] lr: 4.687e-06, eta: 2:58:44, time: 0.171, data_time: 0.007, memory: 52541, decode.loss_ce: 0.1884, decode.acc_seg: 92.3157, loss: 0.1884 +2023-03-04 07:40:18,291 - mmseg - INFO - Iter [109600/160000] lr: 4.687e-06, eta: 2:58:32, time: 0.168, data_time: 0.007, memory: 52541, decode.loss_ce: 0.1782, decode.acc_seg: 92.5917, loss: 0.1782 +2023-03-04 07:40:27,188 - mmseg - INFO - Iter [109650/160000] lr: 4.687e-06, eta: 2:58:21, time: 0.178, data_time: 0.008, memory: 52541, decode.loss_ce: 0.1828, decode.acc_seg: 92.2697, loss: 0.1828 +2023-03-04 07:40:35,740 - mmseg - INFO - Iter [109700/160000] lr: 4.687e-06, eta: 2:58:09, time: 0.171, data_time: 0.008, memory: 52541, decode.loss_ce: 0.1861, decode.acc_seg: 92.2767, loss: 0.1861 +2023-03-04 07:40:44,153 - mmseg - INFO - Iter [109750/160000] lr: 4.687e-06, eta: 2:57:58, time: 0.168, data_time: 0.007, memory: 52541, decode.loss_ce: 0.1811, decode.acc_seg: 92.4522, loss: 0.1811 +2023-03-04 07:40:55,007 - mmseg - INFO - Iter [109800/160000] lr: 4.687e-06, eta: 2:57:47, time: 0.217, data_time: 0.056, memory: 52541, decode.loss_ce: 0.1830, decode.acc_seg: 92.6008, loss: 0.1830 +2023-03-04 07:41:03,510 - mmseg - INFO - Iter [109850/160000] lr: 4.687e-06, eta: 2:57:36, time: 0.170, data_time: 0.008, memory: 52541, decode.loss_ce: 0.1856, decode.acc_seg: 92.2428, loss: 0.1856 +2023-03-04 07:41:11,864 - mmseg - INFO - Iter [109900/160000] lr: 4.687e-06, eta: 2:57:24, time: 0.167, data_time: 0.007, memory: 52541, decode.loss_ce: 0.1852, decode.acc_seg: 92.4011, loss: 0.1852 +2023-03-04 07:41:20,270 - mmseg - INFO - Iter [109950/160000] lr: 4.687e-06, eta: 2:57:12, time: 0.168, data_time: 0.007, memory: 52541, decode.loss_ce: 0.1930, decode.acc_seg: 92.0548, loss: 0.1930 +2023-03-04 07:41:28,864 - mmseg - INFO - Exp name: ablation_segformer_mit_b2_segformer_head_unet_fc_small_multi_step_ade_pretrained_freeze_embed_160k_ade20k151_finetune_ema_winit.py +2023-03-04 07:41:28,864 - mmseg - INFO - Iter [110000/160000] lr: 4.687e-06, eta: 2:57:01, time: 0.172, data_time: 0.008, memory: 52541, decode.loss_ce: 0.1838, decode.acc_seg: 92.4462, loss: 0.1838 +2023-03-04 07:41:37,224 - mmseg - INFO - Iter [110050/160000] lr: 4.687e-06, eta: 2:56:49, time: 0.167, data_time: 0.007, memory: 52541, decode.loss_ce: 0.1850, decode.acc_seg: 92.2798, loss: 0.1850 +2023-03-04 07:41:45,763 - mmseg - INFO - Iter [110100/160000] lr: 4.687e-06, eta: 2:56:38, time: 0.171, data_time: 0.007, memory: 52541, decode.loss_ce: 0.1840, decode.acc_seg: 92.3010, loss: 0.1840 +2023-03-04 07:41:54,273 - mmseg - INFO - Iter [110150/160000] lr: 4.687e-06, eta: 2:56:26, time: 0.170, data_time: 0.007, memory: 52541, decode.loss_ce: 0.1929, decode.acc_seg: 92.1461, loss: 0.1929 +2023-03-04 07:42:02,811 - mmseg - INFO - Iter [110200/160000] lr: 4.687e-06, eta: 2:56:14, time: 0.171, data_time: 0.007, memory: 52541, decode.loss_ce: 0.1924, decode.acc_seg: 92.1664, loss: 0.1924 +2023-03-04 07:42:11,350 - mmseg - INFO - Iter [110250/160000] lr: 4.687e-06, eta: 2:56:03, time: 0.171, data_time: 0.008, memory: 52541, decode.loss_ce: 0.1814, decode.acc_seg: 92.4533, loss: 0.1814 +2023-03-04 07:42:20,163 - mmseg - INFO - Iter [110300/160000] lr: 4.687e-06, eta: 2:55:51, time: 0.176, data_time: 0.007, memory: 52541, decode.loss_ce: 0.1849, decode.acc_seg: 92.3723, loss: 0.1849 +2023-03-04 07:42:28,409 - mmseg - INFO - Iter [110350/160000] lr: 4.687e-06, eta: 2:55:40, time: 0.165, data_time: 0.007, memory: 52541, decode.loss_ce: 0.1769, decode.acc_seg: 92.6580, loss: 0.1769 +2023-03-04 07:42:36,807 - mmseg - INFO - Iter [110400/160000] lr: 4.687e-06, eta: 2:55:28, time: 0.168, data_time: 0.007, memory: 52541, decode.loss_ce: 0.1869, decode.acc_seg: 92.3308, loss: 0.1869 +2023-03-04 07:42:47,774 - mmseg - INFO - Iter [110450/160000] lr: 4.687e-06, eta: 2:55:18, time: 0.219, data_time: 0.057, memory: 52541, decode.loss_ce: 0.1816, decode.acc_seg: 92.5640, loss: 0.1816 +2023-03-04 07:42:56,761 - mmseg - INFO - Iter [110500/160000] lr: 4.687e-06, eta: 2:55:06, time: 0.180, data_time: 0.008, memory: 52541, decode.loss_ce: 0.1812, decode.acc_seg: 92.5186, loss: 0.1812 +2023-03-04 07:43:05,241 - mmseg - INFO - Iter [110550/160000] lr: 4.687e-06, eta: 2:54:55, time: 0.170, data_time: 0.007, memory: 52541, decode.loss_ce: 0.1872, decode.acc_seg: 92.4101, loss: 0.1872 +2023-03-04 07:43:13,618 - mmseg - INFO - Iter [110600/160000] lr: 4.687e-06, eta: 2:54:43, time: 0.168, data_time: 0.007, memory: 52541, decode.loss_ce: 0.1833, decode.acc_seg: 92.5128, loss: 0.1833 +2023-03-04 07:43:22,516 - mmseg - INFO - Iter [110650/160000] lr: 4.687e-06, eta: 2:54:32, time: 0.178, data_time: 0.007, memory: 52541, decode.loss_ce: 0.1850, decode.acc_seg: 92.3960, loss: 0.1850 +2023-03-04 07:43:31,275 - mmseg - INFO - Iter [110700/160000] lr: 4.687e-06, eta: 2:54:20, time: 0.175, data_time: 0.007, memory: 52541, decode.loss_ce: 0.1801, decode.acc_seg: 92.5032, loss: 0.1801 +2023-03-04 07:43:39,827 - mmseg - INFO - Iter [110750/160000] lr: 4.687e-06, eta: 2:54:09, time: 0.171, data_time: 0.007, memory: 52541, decode.loss_ce: 0.1874, decode.acc_seg: 92.3775, loss: 0.1874 +2023-03-04 07:43:48,557 - mmseg - INFO - Iter [110800/160000] lr: 4.687e-06, eta: 2:53:57, time: 0.175, data_time: 0.007, memory: 52541, decode.loss_ce: 0.1868, decode.acc_seg: 92.3441, loss: 0.1868 +2023-03-04 07:43:56,944 - mmseg - INFO - Iter [110850/160000] lr: 4.687e-06, eta: 2:53:46, time: 0.168, data_time: 0.007, memory: 52541, decode.loss_ce: 0.1818, decode.acc_seg: 92.4753, loss: 0.1818 +2023-03-04 07:44:05,664 - mmseg - INFO - Iter [110900/160000] lr: 4.687e-06, eta: 2:53:34, time: 0.174, data_time: 0.007, memory: 52541, decode.loss_ce: 0.1848, decode.acc_seg: 92.3591, loss: 0.1848 +2023-03-04 07:44:13,925 - mmseg - INFO - Iter [110950/160000] lr: 4.687e-06, eta: 2:53:23, time: 0.165, data_time: 0.007, memory: 52541, decode.loss_ce: 0.1838, decode.acc_seg: 92.4146, loss: 0.1838 +2023-03-04 07:44:22,313 - mmseg - INFO - Exp name: ablation_segformer_mit_b2_segformer_head_unet_fc_small_multi_step_ade_pretrained_freeze_embed_160k_ade20k151_finetune_ema_winit.py +2023-03-04 07:44:22,313 - mmseg - INFO - Iter [111000/160000] lr: 4.687e-06, eta: 2:53:11, time: 0.168, data_time: 0.007, memory: 52541, decode.loss_ce: 0.1926, decode.acc_seg: 92.1321, loss: 0.1926 +2023-03-04 07:44:30,645 - mmseg - INFO - Iter [111050/160000] lr: 4.687e-06, eta: 2:52:59, time: 0.167, data_time: 0.007, memory: 52541, decode.loss_ce: 0.1923, decode.acc_seg: 92.0882, loss: 0.1923 +2023-03-04 07:44:41,509 - mmseg - INFO - Iter [111100/160000] lr: 4.687e-06, eta: 2:52:49, time: 0.217, data_time: 0.054, memory: 52541, decode.loss_ce: 0.1862, decode.acc_seg: 92.1351, loss: 0.1862 +2023-03-04 07:44:49,963 - mmseg - INFO - Iter [111150/160000] lr: 4.687e-06, eta: 2:52:37, time: 0.169, data_time: 0.007, memory: 52541, decode.loss_ce: 0.1899, decode.acc_seg: 92.0989, loss: 0.1899 +2023-03-04 07:44:58,306 - mmseg - INFO - Iter [111200/160000] lr: 4.687e-06, eta: 2:52:26, time: 0.167, data_time: 0.007, memory: 52541, decode.loss_ce: 0.1887, decode.acc_seg: 92.1777, loss: 0.1887 +2023-03-04 07:45:06,977 - mmseg - INFO - Iter [111250/160000] lr: 4.687e-06, eta: 2:52:14, time: 0.173, data_time: 0.007, memory: 52541, decode.loss_ce: 0.1885, decode.acc_seg: 92.2893, loss: 0.1885 +2023-03-04 07:45:15,543 - mmseg - INFO - Iter [111300/160000] lr: 4.687e-06, eta: 2:52:03, time: 0.171, data_time: 0.007, memory: 52541, decode.loss_ce: 0.1863, decode.acc_seg: 92.2412, loss: 0.1863 +2023-03-04 07:45:23,996 - mmseg - INFO - Iter [111350/160000] lr: 4.687e-06, eta: 2:51:51, time: 0.169, data_time: 0.007, memory: 52541, decode.loss_ce: 0.1841, decode.acc_seg: 92.2634, loss: 0.1841 +2023-03-04 07:45:32,361 - mmseg - INFO - Iter [111400/160000] lr: 4.687e-06, eta: 2:51:40, time: 0.167, data_time: 0.007, memory: 52541, decode.loss_ce: 0.1837, decode.acc_seg: 92.6057, loss: 0.1837 +2023-03-04 07:45:40,983 - mmseg - INFO - Iter [111450/160000] lr: 4.687e-06, eta: 2:51:28, time: 0.172, data_time: 0.008, memory: 52541, decode.loss_ce: 0.1794, decode.acc_seg: 92.5940, loss: 0.1794 +2023-03-04 07:45:49,413 - mmseg - INFO - Iter [111500/160000] lr: 4.687e-06, eta: 2:51:17, time: 0.169, data_time: 0.007, memory: 52541, decode.loss_ce: 0.1902, decode.acc_seg: 92.2194, loss: 0.1902 +2023-03-04 07:45:57,994 - mmseg - INFO - Iter [111550/160000] lr: 4.687e-06, eta: 2:51:05, time: 0.172, data_time: 0.008, memory: 52541, decode.loss_ce: 0.1848, decode.acc_seg: 92.4408, loss: 0.1848 +2023-03-04 07:46:06,396 - mmseg - INFO - Iter [111600/160000] lr: 4.687e-06, eta: 2:50:54, time: 0.168, data_time: 0.007, memory: 52541, decode.loss_ce: 0.1837, decode.acc_seg: 92.4793, loss: 0.1837 +2023-03-04 07:46:14,751 - mmseg - INFO - Iter [111650/160000] lr: 4.687e-06, eta: 2:50:42, time: 0.167, data_time: 0.007, memory: 52541, decode.loss_ce: 0.1819, decode.acc_seg: 92.4090, loss: 0.1819 +2023-03-04 07:46:25,930 - mmseg - INFO - Iter [111700/160000] lr: 4.687e-06, eta: 2:50:32, time: 0.224, data_time: 0.054, memory: 52541, decode.loss_ce: 0.1846, decode.acc_seg: 92.4379, loss: 0.1846 +2023-03-04 07:46:34,640 - mmseg - INFO - Iter [111750/160000] lr: 4.687e-06, eta: 2:50:20, time: 0.174, data_time: 0.007, memory: 52541, decode.loss_ce: 0.1840, decode.acc_seg: 92.3499, loss: 0.1840 +2023-03-04 07:46:43,398 - mmseg - INFO - Iter [111800/160000] lr: 4.687e-06, eta: 2:50:09, time: 0.175, data_time: 0.007, memory: 52541, decode.loss_ce: 0.1887, decode.acc_seg: 92.2300, loss: 0.1887 +2023-03-04 07:46:51,958 - mmseg - INFO - Iter [111850/160000] lr: 4.687e-06, eta: 2:49:58, time: 0.171, data_time: 0.007, memory: 52541, decode.loss_ce: 0.1895, decode.acc_seg: 92.2392, loss: 0.1895 +2023-03-04 07:47:00,445 - mmseg - INFO - Iter [111900/160000] lr: 4.687e-06, eta: 2:49:46, time: 0.170, data_time: 0.007, memory: 52541, decode.loss_ce: 0.1868, decode.acc_seg: 92.4369, loss: 0.1868 +2023-03-04 07:47:08,890 - mmseg - INFO - Iter [111950/160000] lr: 4.687e-06, eta: 2:49:35, time: 0.169, data_time: 0.007, memory: 52541, decode.loss_ce: 0.1851, decode.acc_seg: 92.4514, loss: 0.1851 +2023-03-04 07:47:17,392 - mmseg - INFO - Swap parameters (after train) after iter [112000] +2023-03-04 07:47:17,405 - mmseg - INFO - Saving checkpoint at 112000 iterations +2023-03-04 07:47:18,450 - mmseg - INFO - Exp name: ablation_segformer_mit_b2_segformer_head_unet_fc_small_multi_step_ade_pretrained_freeze_embed_160k_ade20k151_finetune_ema_winit.py +2023-03-04 07:47:18,450 - mmseg - INFO - Iter [112000/160000] lr: 4.687e-06, eta: 2:49:24, time: 0.191, data_time: 0.007, memory: 52541, decode.loss_ce: 0.1888, decode.acc_seg: 92.2089, loss: 0.1888 +2023-03-04 07:58:10,425 - mmseg - INFO - per class results: +2023-03-04 07:58:10,433 - mmseg - INFO - ++---------------------+-------------------------------------------------------------------+ +| Class | IoU 0,10,20,30,40,50,60,70,80,90,99 | ++---------------------+-------------------------------------------------------------------+ +| background | nan,nan,nan,nan,nan,nan,nan,nan,nan,nan,nan | +| wall | 77.5,77.5,77.51,77.51,77.51,77.52,77.52,77.52,77.53,77.53,77.53 | +| building | 81.67,81.67,81.67,81.68,81.67,81.67,81.67,81.67,81.67,81.67,81.67 | +| sky | 94.41,94.41,94.41,94.41,94.41,94.41,94.41,94.41,94.41,94.41,94.41 | +| floor | 81.64,81.64,81.63,81.64,81.64,81.62,81.62,81.62,81.63,81.62,81.61 | +| tree | 74.28,74.27,74.27,74.27,74.27,74.26,74.27,74.26,74.26,74.26,74.26 | +| ceiling | 85.21,85.23,85.23,85.25,85.25,85.27,85.28,85.29,85.3,85.3,85.3 | +| road | 82.07,82.07,82.08,82.06,82.06,82.05,82.04,82.05,82.05,82.04,82.05 | +| bed | 87.69,87.73,87.73,87.74,87.73,87.72,87.74,87.75,87.76,87.74,87.74 | +| windowpane | 60.66,60.64,60.64,60.65,60.62,60.62,60.62,60.61,60.6,60.58,60.57 | +| grass | 67.3,67.31,67.29,67.31,67.33,67.32,67.34,67.33,67.34,67.34,67.35 | +| cabinet | 61.61,61.62,61.6,61.59,61.53,61.54,61.51,61.52,61.5,61.43,61.47 | +| sidewalk | 65.02,65.05,65.05,65.04,65.04,65.04,65.05,65.06,65.04,65.04,65.04 | +| person | 79.68,79.68,79.7,79.69,79.69,79.7,79.7,79.71,79.72,79.7,79.73 | +| earth | 35.81,35.82,35.83,35.86,35.84,35.86,35.87,35.89,35.91,35.9,35.92 | +| door | 45.67,45.66,45.67,45.65,45.63,45.63,45.63,45.63,45.63,45.62,45.6 | +| table | 60.99,61.02,61.02,61.0,60.99,61.0,60.99,61.01,60.99,60.99,61.0 | +| mountain | 57.33,57.35,57.4,57.39,57.39,57.4,57.4,57.41,57.45,57.43,57.44 | +| plant | 49.8,49.83,49.81,49.85,49.84,49.81,49.84,49.85,49.85,49.84,49.83 | +| curtain | 74.82,74.82,74.85,74.82,74.81,74.81,74.81,74.8,74.81,74.8,74.81 | +| chair | 56.52,56.52,56.5,56.53,56.51,56.53,56.53,56.54,56.52,56.54,56.53 | +| car | 81.77,81.79,81.8,81.81,81.8,81.81,81.82,81.82,81.83,81.82,81.83 | +| water | 56.92,56.93,56.94,56.94,56.95,56.95,56.95,56.95,56.96,56.95,56.96 | +| painting | 70.36,70.37,70.38,70.39,70.44,70.48,70.5,70.54,70.54,70.58,70.61 | +| sofa | 64.14,64.16,64.14,64.14,64.16,64.15,64.15,64.14,64.16,64.16,64.16 | +| shelf | 44.07,44.0,44.01,44.01,43.97,44.01,43.98,43.93,43.99,43.91,43.97 | +| house | 43.3,43.26,43.26,43.24,43.17,43.18,43.12,43.1,43.05,43.02,43.0 | +| sea | 60.45,60.5,60.5,60.52,60.52,60.53,60.55,60.55,60.56,60.57,60.59 | +| mirror | 66.79,66.8,66.78,66.83,66.8,66.8,66.81,66.83,66.85,66.82,66.84 | +| rug | 64.18,64.2,64.13,64.19,64.12,64.02,64.01,63.95,64.0,63.95,63.9 | +| field | 30.5,30.56,30.58,30.6,30.6,30.58,30.65,30.67,30.69,30.72,30.7 | +| armchair | 38.2,38.17,38.14,38.17,38.12,38.13,38.14,38.12,38.11,38.1,38.09 | +| seat | 66.64,66.56,66.57,66.54,66.52,66.55,66.5,66.49,66.48,66.45,66.47 | +| fence | 40.42,40.41,40.47,40.43,40.44,40.41,40.41,40.44,40.44,40.46,40.44 | +| desk | 46.27,46.29,46.29,46.24,46.25,46.24,46.17,46.23,46.2,46.15,46.17 | +| rock | 36.98,36.97,36.94,36.94,36.93,36.94,36.91,36.94,36.92,36.93,36.94 | +| wardrobe | 57.85,57.79,57.81,57.82,57.77,57.81,57.77,57.77,57.74,57.68,57.71 | +| lamp | 61.89,61.87,61.91,61.91,61.89,61.92,61.91,61.92,61.92,61.92,61.94 | +| bathtub | 76.88,76.87,76.89,76.93,76.92,76.86,76.91,76.87,76.85,76.88,76.84 | +| railing | 33.94,33.95,33.93,33.89,33.89,33.91,33.93,33.9,33.88,33.89,33.9 | +| cushion | 56.18,56.27,56.21,56.15,56.11,56.05,56.05,56.05,56.0,55.92,55.91 | +| base | 22.77,22.75,22.8,22.74,22.79,22.75,22.76,22.77,22.78,22.78,22.79 | +| box | 23.45,23.51,23.47,23.46,23.5,23.47,23.49,23.49,23.49,23.48,23.47 | +| column | 46.35,46.37,46.36,46.38,46.4,46.39,46.44,46.43,46.44,46.44,46.45 | +| signboard | 37.95,37.98,37.97,37.96,38.01,37.97,37.97,38.0,38.02,38.02,38.02 | +| chest of drawers | 36.75,36.72,36.66,36.68,36.64,36.55,36.58,36.54,36.54,36.49,36.48 | +| counter | 30.66,30.67,30.69,30.68,30.7,30.71,30.7,30.73,30.7,30.72,30.69 | +| sand | 43.06,43.09,43.17,43.17,43.21,43.26,43.26,43.32,43.35,43.35,43.49 | +| sink | 67.98,68.0,67.96,67.99,68.01,68.03,68.03,68.02,68.01,68.03,68.03 | +| skyscraper | 51.23,51.1,51.15,51.0,51.02,50.94,50.85,50.68,50.73,50.75,50.75 | +| fireplace | 74.92,74.88,74.9,74.84,74.84,74.79,74.84,74.83,74.81,74.82,74.76 | +| refrigerator | 74.71,74.73,74.66,74.72,74.65,74.66,74.68,74.61,74.61,74.57,74.53 | +| grandstand | 53.11,53.17,53.16,53.03,53.08,52.94,52.99,52.96,52.94,52.88,52.96 | +| path | 22.2,22.23,22.23,22.21,22.27,22.23,22.21,22.22,22.22,22.2,22.21 | +| stairs | 31.71,31.7,31.68,31.66,31.67,31.62,31.64,31.62,31.58,31.58,31.58 | +| runway | 67.72,67.71,67.72,67.65,67.66,67.62,67.58,67.57,67.56,67.53,67.52 | +| case | 48.49,48.47,48.45,48.46,48.43,48.43,48.4,48.38,48.36,48.35,48.32 | +| pool table | 91.95,91.93,91.96,91.92,91.92,91.9,91.89,91.89,91.88,91.87,91.86 | +| pillow | 59.34,59.55,59.53,59.58,59.56,59.65,59.68,59.67,59.78,59.76,59.88 | +| screen door | 69.88,70.01,70.06,70.07,70.09,70.0,70.06,70.12,70.13,70.12,70.09 | +| stairway | 23.93,23.93,23.88,23.9,23.92,23.91,23.92,23.91,23.93,23.91,23.89 | +| river | 11.83,11.85,11.83,11.83,11.84,11.84,11.84,11.84,11.84,11.84,11.84 | +| bridge | 32.17,32.12,32.06,31.96,31.95,31.85,31.81,31.76,31.73,31.68,31.75 | +| bookcase | 45.38,45.31,45.31,45.34,45.32,45.36,45.36,45.32,45.38,45.3,45.4 | +| blind | 39.76,39.74,39.74,39.59,39.61,39.49,39.5,39.46,39.48,39.46,39.39 | +| coffee table | 53.68,53.63,53.64,53.56,53.49,53.49,53.5,53.45,53.44,53.37,53.42 | +| toilet | 83.81,83.84,83.86,83.89,83.87,83.91,83.93,83.95,83.99,83.97,84.03 | +| flower | 38.58,38.57,38.55,38.56,38.54,38.61,38.58,38.59,38.58,38.61,38.62 | +| book | 44.55,44.52,44.51,44.51,44.56,44.59,44.58,44.57,44.6,44.59,44.63 | +| hill | 15.39,15.41,15.41,15.48,15.48,15.47,15.52,15.54,15.57,15.57,15.58 | +| bench | 42.65,42.67,42.7,42.66,42.69,42.66,42.64,42.66,42.66,42.65,42.64 | +| countertop | 56.37,56.4,56.36,56.41,56.43,56.48,56.47,56.56,56.5,56.53,56.54 | +| stove | 72.99,72.95,72.99,73.0,73.01,73.0,72.99,72.99,73.0,73.02,73.02 | +| palm | 48.26,48.32,48.31,48.29,48.3,48.3,48.3,48.3,48.31,48.32,48.31 | +| kitchen island | 44.87,44.72,44.64,44.53,44.46,44.57,44.35,44.39,44.37,44.09,44.31 | +| computer | 60.5,60.52,60.52,60.54,60.52,60.52,60.54,60.54,60.55,60.55,60.55 | +| swivel chair | 43.2,43.14,43.11,43.05,43.1,43.03,43.01,42.99,42.99,42.96,42.94 | +| boat | 72.28,72.26,72.29,72.36,72.42,72.44,72.5,72.53,72.55,72.62,72.67 | +| bar | 23.94,23.94,23.94,23.91,23.92,23.91,23.88,23.91,23.89,23.89,23.9 | +| arcade machine | 69.82,70.06,70.12,70.04,70.16,70.22,70.28,70.34,70.46,70.37,70.58 | +| hovel | 32.88,32.71,32.69,32.63,32.57,32.52,32.38,32.25,32.25,32.07,32.05 | +| bus | 79.95,79.93,79.92,79.92,79.87,79.85,79.88,79.85,79.81,79.79,79.75 | +| towel | 63.03,63.09,63.11,63.14,63.12,63.17,63.19,63.2,63.24,63.25,63.27 | +| light | 55.13,55.03,54.97,54.86,54.84,54.77,54.65,54.63,54.56,54.48,54.35 | +| truck | 18.76,18.74,18.79,18.68,18.68,18.6,18.6,18.65,18.71,18.53,18.59 | +| tower | 7.59,7.65,7.7,7.67,7.63,7.52,7.5,7.5,7.44,7.5,7.53 | +| chandelier | 64.06,64.0,64.06,64.04,64.07,64.13,64.1,64.11,64.11,64.11,64.12 | +| awning | 24.11,24.02,24.03,24.06,24.03,24.11,23.97,23.93,23.97,23.87,23.95 | +| streetlight | 27.56,27.44,27.48,27.53,27.58,27.65,27.54,27.59,27.61,27.64,27.67 | +| booth | 47.9,48.01,47.98,48.15,48.41,48.13,48.32,48.33,48.33,48.41,48.34 | +| television receiver | 63.69,63.72,63.72,63.67,63.7,63.76,63.74,63.72,63.73,63.76,63.76 | +| airplane | 60.73,60.81,60.83,60.78,60.83,60.83,60.84,60.91,60.9,60.89,60.84 | +| dirt track | 21.18,21.28,21.36,21.39,21.39,21.45,21.62,21.57,21.65,21.69,21.63 | +| apparel | 33.9,33.85,33.82,33.72,33.8,33.78,33.65,33.65,33.61,33.57,33.56 | +| pole | 19.57,19.53,19.54,19.53,19.48,19.48,19.44,19.42,19.42,19.39,19.39 | +| land | 3.64,3.63,3.63,3.67,3.64,3.64,3.67,3.66,3.68,3.67,3.69 | +| bannister | 12.91,12.9,12.86,12.88,12.95,12.88,12.95,12.94,12.9,12.96,12.95 | +| escalator | 24.22,24.31,24.2,24.22,24.2,24.19,24.23,24.22,24.19,24.17,24.12 | +| ottoman | 41.13,41.21,41.18,41.11,41.17,41.17,41.22,41.27,41.21,41.16,41.14 | +| bottle | 33.47,33.48,33.47,33.49,33.48,33.5,33.59,33.58,33.6,33.64,33.63 | +| buffet | 42.01,41.98,41.94,41.94,41.86,41.89,41.76,41.64,41.61,41.69,41.48 | +| poster | 22.68,22.68,22.69,22.74,22.78,22.75,22.76,22.75,22.8,22.78,22.82 | +| stage | 15.82,15.76,15.8,15.79,15.78,15.8,15.8,15.78,15.79,15.82,15.76 | +| van | 38.02,38.06,38.0,38.06,38.01,37.94,37.99,37.95,37.98,37.96,37.91 | +| ship | 82.49,82.4,82.39,82.5,82.46,82.49,82.51,82.48,82.48,82.53,82.57 | +| fountain | 19.49,19.44,19.46,19.47,19.51,19.48,19.54,19.58,19.55,19.48,19.5 | +| conveyer belt | 84.49,84.51,84.57,84.59,84.61,84.66,84.62,84.72,84.7,84.69,84.78 | +| canopy | 25.21,25.27,25.44,25.3,25.34,25.36,25.32,25.38,25.34,25.3,25.32 | +| washer | 75.24,75.27,75.39,75.35,75.39,75.42,75.31,75.38,75.46,75.48,75.5 | +| plaything | 19.61,19.63,19.65,19.69,19.67,19.75,19.74,19.73,19.74,19.69,19.98 | +| swimming pool | 72.23,72.24,72.23,72.21,72.24,72.1,72.19,72.18,72.14,72.18,71.96 | +| stool | 43.71,43.75,43.74,43.74,43.71,43.7,43.69,43.7,43.68,43.64,43.62 | +| barrel | 48.1,47.88,47.8,47.91,47.89,47.81,47.6,47.6,47.53,47.58,47.47 | +| basket | 24.83,24.8,24.78,24.78,24.77,24.83,24.79,24.8,24.82,24.8,24.8 | +| waterfall | 47.61,47.45,47.59,47.5,47.54,47.53,47.48,47.46,47.45,47.44,47.49 | +| tent | 94.69,94.73,94.7,94.75,94.74,94.72,94.75,94.75,94.75,94.76,94.75 | +| bag | 16.41,16.45,16.44,16.55,16.53,16.54,16.63,16.65,16.73,16.83,16.85 | +| minibike | 62.23,62.25,62.22,62.26,62.15,62.21,62.2,62.12,62.13,62.11,62.07 | +| cradle | 84.09,84.04,84.12,84.08,84.08,84.11,84.09,84.07,84.09,84.1,84.08 | +| oven | 48.01,47.93,47.98,47.94,47.88,47.9,47.91,47.89,47.9,47.86,47.83 | +| ball | 45.71,45.64,45.74,45.76,45.84,45.78,45.84,45.81,45.82,45.93,45.82 | +| food | 54.46,54.48,54.46,54.48,54.67,54.73,54.67,54.78,54.76,54.95,54.93 | +| step | 6.44,6.4,6.33,6.3,6.21,6.18,6.09,6.1,6.01,5.97,5.91 | +| tank | 51.66,51.62,51.64,51.62,51.67,51.67,51.65,51.67,51.71,51.62,51.62 | +| trade name | 27.92,27.95,27.98,28.05,27.91,27.93,27.88,27.93,27.98,27.88,27.95 | +| microwave | 71.83,71.77,71.85,71.84,71.89,71.93,71.89,71.88,71.93,71.98,71.94 | +| pot | 29.99,30.02,29.98,30.03,29.98,29.99,30.03,30.03,30.04,30.02,30.01 | +| animal | 54.85,54.79,54.79,54.77,54.77,54.8,54.75,54.76,54.75,54.74,54.73 | +| bicycle | 54.19,54.13,54.2,54.17,54.21,54.14,54.2,54.18,54.2,54.18,54.14 | +| lake | 57.49,57.53,57.51,57.55,57.55,57.56,57.58,57.57,57.57,57.58,57.56 | +| dishwasher | 66.03,66.21,66.1,66.24,66.21,66.2,66.32,66.28,66.19,66.24,66.28 | +| screen | 66.68,66.69,66.6,66.63,66.75,66.79,66.92,66.74,66.77,66.97,67.07 | +| blanket | 17.71,17.63,17.76,17.73,17.74,17.85,17.77,17.8,17.87,17.86,17.94 | +| sculpture | 58.88,58.88,58.99,58.99,58.84,59.0,58.91,59.0,59.01,58.88,59.16 | +| hood | 57.91,58.1,58.02,58.03,58.07,58.16,58.28,58.21,58.3,58.31,58.25 | +| sconce | 44.6,44.64,44.59,44.65,44.58,44.56,44.6,44.61,44.63,44.62,44.59 | +| vase | 37.2,37.18,37.18,37.18,37.16,37.12,37.18,37.09,37.14,37.06,37.09 | +| traffic light | 32.95,32.93,32.92,32.91,32.96,32.99,32.96,32.98,32.98,32.97,33.0 | +| tray | 7.63,7.73,7.81,7.83,7.91,8.02,7.95,8.05,8.17,8.2,8.27 | +| ashcan | 40.18,40.26,40.39,40.27,40.25,40.35,40.32,40.37,40.39,40.32,40.4 | +| fan | 58.12,58.09,58.13,58.12,58.1,58.07,58.04,58.15,58.14,58.13,58.18 | +| pier | 52.2,52.37,52.36,52.4,52.55,52.55,52.67,52.72,52.89,52.82,52.9 | +| crt screen | 10.65,10.68,10.68,10.72,10.71,10.74,10.74,10.78,10.77,10.77,10.78 | +| plate | 52.89,52.82,52.86,52.94,52.87,52.87,52.82,52.76,52.82,52.82,52.78 | +| monitor | 18.11,18.17,18.06,18.17,18.28,18.26,18.37,18.36,18.31,18.42,18.38 | +| bulletin board | 37.66,37.71,37.71,37.77,37.74,37.76,37.72,37.75,37.91,37.83,37.8 | +| shower | 2.17,2.17,2.19,2.18,2.15,2.16,2.17,2.18,2.14,2.14,2.14 | +| radiator | 59.58,59.53,59.7,59.54,59.52,59.54,59.53,59.55,59.57,59.57,59.67 | +| glass | 13.33,13.3,13.3,13.28,13.22,13.28,13.23,13.24,13.22,13.21,13.22 | +| clock | 36.49,36.46,36.6,36.55,36.67,36.55,36.69,36.62,36.65,36.72,36.65 | +| flag | 33.27,33.21,33.25,33.15,33.12,33.09,33.04,32.99,33.02,32.94,32.92 | ++---------------------+-------------------------------------------------------------------+ +2023-03-04 07:58:10,433 - mmseg - INFO - Summary: +2023-03-04 07:58:10,434 - mmseg - INFO - ++-------------------------------------------------------------------+ +| mIoU 0,10,20,30,40,50,60,70,80,90,99 | ++-------------------------------------------------------------------+ +| 48.78,48.78,48.79,48.78,48.78,48.78,48.78,48.78,48.79,48.78,48.78 | ++-------------------------------------------------------------------+ +2023-03-04 07:58:10,470 - mmseg - INFO - The previous best checkpoint /mnt/petrelfs/laizeqiang/mmseg-baseline/work_dirs2/ablation_segformer_mit_b2_segformer_head_unet_fc_small_multi_step_ade_pretrained_freeze_embed_160k_ade20k151_finetune_ema_winit/best_mIoU_iter_80000.pth was removed +2023-03-04 07:58:11,369 - mmseg - INFO - Now best checkpoint is saved as best_mIoU_iter_112000.pth. +2023-03-04 07:58:11,370 - mmseg - INFO - Best mIoU is 0.4878 at 112000 iter. +2023-03-04 07:58:11,370 - mmseg - INFO - Exp name: ablation_segformer_mit_b2_segformer_head_unet_fc_small_multi_step_ade_pretrained_freeze_embed_160k_ade20k151_finetune_ema_winit.py +2023-03-04 07:58:11,370 - mmseg - INFO - Iter(val) [250] mIoU: [0.4878, 0.4878, 0.4879, 0.4878, 0.4878, 0.4878, 0.4878, 0.4878, 0.4879, 0.4878, 0.4878], copy_paste: 48.78,48.78,48.79,48.78,48.78,48.78,48.78,48.78,48.79,48.78,48.78 +2023-03-04 07:58:11,376 - mmseg - INFO - Swap parameters (before train) before iter [112001] +2023-03-04 07:58:19,985 - mmseg - INFO - Iter [112050/160000] lr: 4.687e-06, eta: 2:53:52, time: 13.231, data_time: 13.066, memory: 52541, decode.loss_ce: 0.1942, decode.acc_seg: 92.1080, loss: 0.1942 +2023-03-04 07:58:28,584 - mmseg - INFO - Iter [112100/160000] lr: 4.687e-06, eta: 2:53:40, time: 0.172, data_time: 0.007, memory: 52541, decode.loss_ce: 0.1867, decode.acc_seg: 92.3819, loss: 0.1867 +2023-03-04 07:58:37,422 - mmseg - INFO - Iter [112150/160000] lr: 4.687e-06, eta: 2:53:28, time: 0.177, data_time: 0.007, memory: 52541, decode.loss_ce: 0.1880, decode.acc_seg: 92.2345, loss: 0.1880 +2023-03-04 07:58:46,368 - mmseg - INFO - Iter [112200/160000] lr: 4.687e-06, eta: 2:53:16, time: 0.179, data_time: 0.007, memory: 52541, decode.loss_ce: 0.1820, decode.acc_seg: 92.4438, loss: 0.1820 +2023-03-04 07:58:54,791 - mmseg - INFO - Iter [112250/160000] lr: 4.687e-06, eta: 2:53:04, time: 0.169, data_time: 0.007, memory: 52541, decode.loss_ce: 0.1848, decode.acc_seg: 92.2769, loss: 0.1848 +2023-03-04 07:59:03,358 - mmseg - INFO - Iter [112300/160000] lr: 4.687e-06, eta: 2:52:53, time: 0.171, data_time: 0.007, memory: 52541, decode.loss_ce: 0.1805, decode.acc_seg: 92.5503, loss: 0.1805 +2023-03-04 07:59:14,470 - mmseg - INFO - Iter [112350/160000] lr: 4.687e-06, eta: 2:52:42, time: 0.222, data_time: 0.055, memory: 52541, decode.loss_ce: 0.1806, decode.acc_seg: 92.4800, loss: 0.1806 +2023-03-04 07:59:22,728 - mmseg - INFO - Iter [112400/160000] lr: 4.687e-06, eta: 2:52:30, time: 0.165, data_time: 0.007, memory: 52541, decode.loss_ce: 0.1767, decode.acc_seg: 92.7272, loss: 0.1767 +2023-03-04 07:59:31,214 - mmseg - INFO - Iter [112450/160000] lr: 4.687e-06, eta: 2:52:18, time: 0.170, data_time: 0.007, memory: 52541, decode.loss_ce: 0.1873, decode.acc_seg: 92.2234, loss: 0.1873 +2023-03-04 07:59:39,624 - mmseg - INFO - Iter [112500/160000] lr: 4.687e-06, eta: 2:52:06, time: 0.168, data_time: 0.008, memory: 52541, decode.loss_ce: 0.1912, decode.acc_seg: 92.1165, loss: 0.1912 +2023-03-04 07:59:47,896 - mmseg - INFO - Iter [112550/160000] lr: 4.687e-06, eta: 2:51:54, time: 0.165, data_time: 0.007, memory: 52541, decode.loss_ce: 0.1877, decode.acc_seg: 92.3373, loss: 0.1877 +2023-03-04 07:59:56,292 - mmseg - INFO - Iter [112600/160000] lr: 4.687e-06, eta: 2:51:42, time: 0.168, data_time: 0.007, memory: 52541, decode.loss_ce: 0.1902, decode.acc_seg: 92.1534, loss: 0.1902 +2023-03-04 08:00:04,615 - mmseg - INFO - Iter [112650/160000] lr: 4.687e-06, eta: 2:51:30, time: 0.166, data_time: 0.007, memory: 52541, decode.loss_ce: 0.1870, decode.acc_seg: 92.3932, loss: 0.1870 +2023-03-04 08:00:13,383 - mmseg - INFO - Iter [112700/160000] lr: 4.687e-06, eta: 2:51:18, time: 0.175, data_time: 0.007, memory: 52541, decode.loss_ce: 0.1826, decode.acc_seg: 92.3652, loss: 0.1826 +2023-03-04 08:00:21,941 - mmseg - INFO - Iter [112750/160000] lr: 4.687e-06, eta: 2:51:07, time: 0.171, data_time: 0.007, memory: 52541, decode.loss_ce: 0.1845, decode.acc_seg: 92.3874, loss: 0.1845 +2023-03-04 08:00:30,571 - mmseg - INFO - Iter [112800/160000] lr: 4.687e-06, eta: 2:50:55, time: 0.173, data_time: 0.008, memory: 52541, decode.loss_ce: 0.1844, decode.acc_seg: 92.5107, loss: 0.1844 +2023-03-04 08:00:38,976 - mmseg - INFO - Iter [112850/160000] lr: 4.687e-06, eta: 2:50:43, time: 0.168, data_time: 0.007, memory: 52541, decode.loss_ce: 0.1743, decode.acc_seg: 92.8136, loss: 0.1743 +2023-03-04 08:00:47,404 - mmseg - INFO - Iter [112900/160000] lr: 4.687e-06, eta: 2:50:31, time: 0.168, data_time: 0.007, memory: 52541, decode.loss_ce: 0.1872, decode.acc_seg: 92.2882, loss: 0.1872 +2023-03-04 08:00:58,441 - mmseg - INFO - Iter [112950/160000] lr: 4.687e-06, eta: 2:50:20, time: 0.221, data_time: 0.054, memory: 52541, decode.loss_ce: 0.1784, decode.acc_seg: 92.4565, loss: 0.1784 +2023-03-04 08:01:06,970 - mmseg - INFO - Exp name: ablation_segformer_mit_b2_segformer_head_unet_fc_small_multi_step_ade_pretrained_freeze_embed_160k_ade20k151_finetune_ema_winit.py +2023-03-04 08:01:06,970 - mmseg - INFO - Iter [113000/160000] lr: 4.687e-06, eta: 2:50:08, time: 0.171, data_time: 0.007, memory: 52541, decode.loss_ce: 0.1916, decode.acc_seg: 91.9502, loss: 0.1916 +2023-03-04 08:01:15,402 - mmseg - INFO - Iter [113050/160000] lr: 4.687e-06, eta: 2:49:57, time: 0.169, data_time: 0.007, memory: 52541, decode.loss_ce: 0.1812, decode.acc_seg: 92.4244, loss: 0.1812 +2023-03-04 08:01:23,874 - mmseg - INFO - Iter [113100/160000] lr: 4.687e-06, eta: 2:49:45, time: 0.169, data_time: 0.007, memory: 52541, decode.loss_ce: 0.1808, decode.acc_seg: 92.5420, loss: 0.1808 +2023-03-04 08:01:32,229 - mmseg - INFO - Iter [113150/160000] lr: 4.687e-06, eta: 2:49:33, time: 0.167, data_time: 0.007, memory: 52541, decode.loss_ce: 0.1883, decode.acc_seg: 92.2967, loss: 0.1883 +2023-03-04 08:01:40,825 - mmseg - INFO - Iter [113200/160000] lr: 4.687e-06, eta: 2:49:21, time: 0.172, data_time: 0.007, memory: 52541, decode.loss_ce: 0.1821, decode.acc_seg: 92.4995, loss: 0.1821 +2023-03-04 08:01:49,558 - mmseg - INFO - Iter [113250/160000] lr: 4.687e-06, eta: 2:49:09, time: 0.174, data_time: 0.007, memory: 52541, decode.loss_ce: 0.1832, decode.acc_seg: 92.2829, loss: 0.1832 +2023-03-04 08:01:58,299 - mmseg - INFO - Iter [113300/160000] lr: 4.687e-06, eta: 2:48:58, time: 0.175, data_time: 0.007, memory: 52541, decode.loss_ce: 0.1823, decode.acc_seg: 92.4911, loss: 0.1823 +2023-03-04 08:02:06,619 - mmseg - INFO - Iter [113350/160000] lr: 4.687e-06, eta: 2:48:46, time: 0.167, data_time: 0.007, memory: 52541, decode.loss_ce: 0.1758, decode.acc_seg: 92.6130, loss: 0.1758 +2023-03-04 08:02:14,905 - mmseg - INFO - Iter [113400/160000] lr: 4.687e-06, eta: 2:48:34, time: 0.166, data_time: 0.007, memory: 52541, decode.loss_ce: 0.1845, decode.acc_seg: 92.3443, loss: 0.1845 +2023-03-04 08:02:23,520 - mmseg - INFO - Iter [113450/160000] lr: 4.687e-06, eta: 2:48:22, time: 0.172, data_time: 0.007, memory: 52541, decode.loss_ce: 0.1831, decode.acc_seg: 92.3751, loss: 0.1831 +2023-03-04 08:02:32,368 - mmseg - INFO - Iter [113500/160000] lr: 4.687e-06, eta: 2:48:10, time: 0.177, data_time: 0.007, memory: 52541, decode.loss_ce: 0.1835, decode.acc_seg: 92.4037, loss: 0.1835 +2023-03-04 08:02:40,882 - mmseg - INFO - Iter [113550/160000] lr: 4.687e-06, eta: 2:47:58, time: 0.170, data_time: 0.008, memory: 52541, decode.loss_ce: 0.1906, decode.acc_seg: 92.2958, loss: 0.1906 +2023-03-04 08:02:51,959 - mmseg - INFO - Iter [113600/160000] lr: 4.687e-06, eta: 2:47:48, time: 0.222, data_time: 0.056, memory: 52541, decode.loss_ce: 0.1897, decode.acc_seg: 92.3002, loss: 0.1897 +2023-03-04 08:03:00,529 - mmseg - INFO - Iter [113650/160000] lr: 4.687e-06, eta: 2:47:36, time: 0.171, data_time: 0.007, memory: 52541, decode.loss_ce: 0.1866, decode.acc_seg: 92.2115, loss: 0.1866 +2023-03-04 08:03:09,497 - mmseg - INFO - Iter [113700/160000] lr: 4.687e-06, eta: 2:47:24, time: 0.180, data_time: 0.007, memory: 52541, decode.loss_ce: 0.1764, decode.acc_seg: 92.7244, loss: 0.1764 +2023-03-04 08:03:17,948 - mmseg - INFO - Iter [113750/160000] lr: 4.687e-06, eta: 2:47:12, time: 0.169, data_time: 0.007, memory: 52541, decode.loss_ce: 0.1859, decode.acc_seg: 92.2390, loss: 0.1859 +2023-03-04 08:03:26,393 - mmseg - INFO - Iter [113800/160000] lr: 4.687e-06, eta: 2:47:01, time: 0.169, data_time: 0.007, memory: 52541, decode.loss_ce: 0.1845, decode.acc_seg: 92.3880, loss: 0.1845 +2023-03-04 08:03:34,895 - mmseg - INFO - Iter [113850/160000] lr: 4.687e-06, eta: 2:46:49, time: 0.170, data_time: 0.007, memory: 52541, decode.loss_ce: 0.1825, decode.acc_seg: 92.3389, loss: 0.1825 +2023-03-04 08:03:43,380 - mmseg - INFO - Iter [113900/160000] lr: 4.687e-06, eta: 2:46:37, time: 0.170, data_time: 0.007, memory: 52541, decode.loss_ce: 0.1911, decode.acc_seg: 92.2434, loss: 0.1911 +2023-03-04 08:03:52,421 - mmseg - INFO - Iter [113950/160000] lr: 4.687e-06, eta: 2:46:26, time: 0.181, data_time: 0.008, memory: 52541, decode.loss_ce: 0.1837, decode.acc_seg: 92.2491, loss: 0.1837 +2023-03-04 08:04:00,739 - mmseg - INFO - Exp name: ablation_segformer_mit_b2_segformer_head_unet_fc_small_multi_step_ade_pretrained_freeze_embed_160k_ade20k151_finetune_ema_winit.py +2023-03-04 08:04:00,739 - mmseg - INFO - Iter [114000/160000] lr: 4.687e-06, eta: 2:46:14, time: 0.166, data_time: 0.007, memory: 52541, decode.loss_ce: 0.1836, decode.acc_seg: 92.4834, loss: 0.1836 +2023-03-04 08:04:09,195 - mmseg - INFO - Iter [114050/160000] lr: 4.687e-06, eta: 2:46:02, time: 0.169, data_time: 0.007, memory: 52541, decode.loss_ce: 0.1836, decode.acc_seg: 92.2015, loss: 0.1836 +2023-03-04 08:04:17,599 - mmseg - INFO - Iter [114100/160000] lr: 4.687e-06, eta: 2:45:50, time: 0.168, data_time: 0.007, memory: 52541, decode.loss_ce: 0.1853, decode.acc_seg: 92.2894, loss: 0.1853 +2023-03-04 08:04:25,928 - mmseg - INFO - Iter [114150/160000] lr: 4.687e-06, eta: 2:45:38, time: 0.167, data_time: 0.007, memory: 52541, decode.loss_ce: 0.1866, decode.acc_seg: 92.2640, loss: 0.1866 +2023-03-04 08:04:34,225 - mmseg - INFO - Iter [114200/160000] lr: 4.687e-06, eta: 2:45:26, time: 0.166, data_time: 0.007, memory: 52541, decode.loss_ce: 0.1830, decode.acc_seg: 92.5568, loss: 0.1830 +2023-03-04 08:04:45,071 - mmseg - INFO - Iter [114250/160000] lr: 4.687e-06, eta: 2:45:15, time: 0.217, data_time: 0.057, memory: 52541, decode.loss_ce: 0.1831, decode.acc_seg: 92.4491, loss: 0.1831 +2023-03-04 08:04:53,567 - mmseg - INFO - Iter [114300/160000] lr: 4.687e-06, eta: 2:45:04, time: 0.170, data_time: 0.007, memory: 52541, decode.loss_ce: 0.1910, decode.acc_seg: 92.1675, loss: 0.1910 +2023-03-04 08:05:02,478 - mmseg - INFO - Iter [114350/160000] lr: 4.687e-06, eta: 2:44:52, time: 0.178, data_time: 0.007, memory: 52541, decode.loss_ce: 0.1876, decode.acc_seg: 92.3009, loss: 0.1876 +2023-03-04 08:05:11,138 - mmseg - INFO - Iter [114400/160000] lr: 4.687e-06, eta: 2:44:40, time: 0.173, data_time: 0.007, memory: 52541, decode.loss_ce: 0.1832, decode.acc_seg: 92.3416, loss: 0.1832 +2023-03-04 08:05:19,451 - mmseg - INFO - Iter [114450/160000] lr: 4.687e-06, eta: 2:44:29, time: 0.166, data_time: 0.007, memory: 52541, decode.loss_ce: 0.1900, decode.acc_seg: 92.2374, loss: 0.1900 +2023-03-04 08:05:28,030 - mmseg - INFO - Iter [114500/160000] lr: 4.687e-06, eta: 2:44:17, time: 0.172, data_time: 0.007, memory: 52541, decode.loss_ce: 0.1866, decode.acc_seg: 92.3857, loss: 0.1866 +2023-03-04 08:05:36,492 - mmseg - INFO - Iter [114550/160000] lr: 4.687e-06, eta: 2:44:05, time: 0.169, data_time: 0.007, memory: 52541, decode.loss_ce: 0.1899, decode.acc_seg: 92.2071, loss: 0.1899 +2023-03-04 08:05:44,976 - mmseg - INFO - Iter [114600/160000] lr: 4.687e-06, eta: 2:43:53, time: 0.169, data_time: 0.007, memory: 52541, decode.loss_ce: 0.1843, decode.acc_seg: 92.1892, loss: 0.1843 +2023-03-04 08:05:53,414 - mmseg - INFO - Iter [114650/160000] lr: 4.687e-06, eta: 2:43:42, time: 0.169, data_time: 0.007, memory: 52541, decode.loss_ce: 0.1800, decode.acc_seg: 92.5255, loss: 0.1800 +2023-03-04 08:06:02,199 - mmseg - INFO - Iter [114700/160000] lr: 4.687e-06, eta: 2:43:30, time: 0.176, data_time: 0.007, memory: 52541, decode.loss_ce: 0.1946, decode.acc_seg: 91.9762, loss: 0.1946 +2023-03-04 08:06:11,223 - mmseg - INFO - Iter [114750/160000] lr: 4.687e-06, eta: 2:43:18, time: 0.180, data_time: 0.008, memory: 52541, decode.loss_ce: 0.1838, decode.acc_seg: 92.4070, loss: 0.1838 +2023-03-04 08:06:19,745 - mmseg - INFO - Iter [114800/160000] lr: 4.687e-06, eta: 2:43:07, time: 0.170, data_time: 0.008, memory: 52541, decode.loss_ce: 0.1864, decode.acc_seg: 92.4954, loss: 0.1864 +2023-03-04 08:06:30,677 - mmseg - INFO - Iter [114850/160000] lr: 4.687e-06, eta: 2:42:56, time: 0.219, data_time: 0.055, memory: 52541, decode.loss_ce: 0.1837, decode.acc_seg: 92.4436, loss: 0.1837 +2023-03-04 08:06:39,259 - mmseg - INFO - Iter [114900/160000] lr: 4.687e-06, eta: 2:42:44, time: 0.172, data_time: 0.007, memory: 52541, decode.loss_ce: 0.1829, decode.acc_seg: 92.3139, loss: 0.1829 +2023-03-04 08:06:47,663 - mmseg - INFO - Iter [114950/160000] lr: 4.687e-06, eta: 2:42:32, time: 0.168, data_time: 0.007, memory: 52541, decode.loss_ce: 0.1902, decode.acc_seg: 92.1143, loss: 0.1902 +2023-03-04 08:06:56,540 - mmseg - INFO - Exp name: ablation_segformer_mit_b2_segformer_head_unet_fc_small_multi_step_ade_pretrained_freeze_embed_160k_ade20k151_finetune_ema_winit.py +2023-03-04 08:06:56,540 - mmseg - INFO - Iter [115000/160000] lr: 4.687e-06, eta: 2:42:21, time: 0.178, data_time: 0.007, memory: 52541, decode.loss_ce: 0.1866, decode.acc_seg: 92.4785, loss: 0.1866 +2023-03-04 08:07:05,050 - mmseg - INFO - Iter [115050/160000] lr: 4.687e-06, eta: 2:42:09, time: 0.170, data_time: 0.008, memory: 52541, decode.loss_ce: 0.1823, decode.acc_seg: 92.4647, loss: 0.1823 +2023-03-04 08:07:13,861 - mmseg - INFO - Iter [115100/160000] lr: 4.687e-06, eta: 2:41:57, time: 0.176, data_time: 0.007, memory: 52541, decode.loss_ce: 0.1877, decode.acc_seg: 92.2623, loss: 0.1877 +2023-03-04 08:07:22,125 - mmseg - INFO - Iter [115150/160000] lr: 4.687e-06, eta: 2:41:46, time: 0.165, data_time: 0.007, memory: 52541, decode.loss_ce: 0.1782, decode.acc_seg: 92.6899, loss: 0.1782 +2023-03-04 08:07:30,474 - mmseg - INFO - Iter [115200/160000] lr: 4.687e-06, eta: 2:41:34, time: 0.167, data_time: 0.008, memory: 52541, decode.loss_ce: 0.1776, decode.acc_seg: 92.5631, loss: 0.1776 +2023-03-04 08:07:38,755 - mmseg - INFO - Iter [115250/160000] lr: 4.687e-06, eta: 2:41:22, time: 0.166, data_time: 0.007, memory: 52541, decode.loss_ce: 0.1874, decode.acc_seg: 92.3103, loss: 0.1874 +2023-03-04 08:07:47,273 - mmseg - INFO - Iter [115300/160000] lr: 4.687e-06, eta: 2:41:10, time: 0.170, data_time: 0.007, memory: 52541, decode.loss_ce: 0.1885, decode.acc_seg: 92.3131, loss: 0.1885 +2023-03-04 08:07:55,569 - mmseg - INFO - Iter [115350/160000] lr: 4.687e-06, eta: 2:40:59, time: 0.166, data_time: 0.007, memory: 52541, decode.loss_ce: 0.1898, decode.acc_seg: 92.0497, loss: 0.1898 +2023-03-04 08:08:04,011 - mmseg - INFO - Iter [115400/160000] lr: 4.687e-06, eta: 2:40:47, time: 0.169, data_time: 0.007, memory: 52541, decode.loss_ce: 0.1861, decode.acc_seg: 92.3622, loss: 0.1861 +2023-03-04 08:08:12,501 - mmseg - INFO - Iter [115450/160000] lr: 4.687e-06, eta: 2:40:35, time: 0.170, data_time: 0.007, memory: 52541, decode.loss_ce: 0.1829, decode.acc_seg: 92.3774, loss: 0.1829 +2023-03-04 08:08:23,505 - mmseg - INFO - Iter [115500/160000] lr: 4.687e-06, eta: 2:40:24, time: 0.220, data_time: 0.055, memory: 52541, decode.loss_ce: 0.1886, decode.acc_seg: 92.2898, loss: 0.1886 +2023-03-04 08:08:32,140 - mmseg - INFO - Iter [115550/160000] lr: 4.687e-06, eta: 2:40:13, time: 0.173, data_time: 0.007, memory: 52541, decode.loss_ce: 0.1842, decode.acc_seg: 92.3069, loss: 0.1842 +2023-03-04 08:08:40,551 - mmseg - INFO - Iter [115600/160000] lr: 4.687e-06, eta: 2:40:01, time: 0.168, data_time: 0.007, memory: 52541, decode.loss_ce: 0.1846, decode.acc_seg: 92.4937, loss: 0.1846 +2023-03-04 08:08:49,238 - mmseg - INFO - Iter [115650/160000] lr: 4.687e-06, eta: 2:39:49, time: 0.174, data_time: 0.007, memory: 52541, decode.loss_ce: 0.1858, decode.acc_seg: 92.3646, loss: 0.1858 +2023-03-04 08:08:58,013 - mmseg - INFO - Iter [115700/160000] lr: 4.687e-06, eta: 2:39:38, time: 0.175, data_time: 0.007, memory: 52541, decode.loss_ce: 0.1813, decode.acc_seg: 92.5277, loss: 0.1813 +2023-03-04 08:09:06,512 - mmseg - INFO - Iter [115750/160000] lr: 4.687e-06, eta: 2:39:26, time: 0.170, data_time: 0.007, memory: 52541, decode.loss_ce: 0.1898, decode.acc_seg: 92.1356, loss: 0.1898 +2023-03-04 08:09:14,960 - mmseg - INFO - Iter [115800/160000] lr: 4.687e-06, eta: 2:39:14, time: 0.169, data_time: 0.008, memory: 52541, decode.loss_ce: 0.1789, decode.acc_seg: 92.5869, loss: 0.1789 +2023-03-04 08:09:23,311 - mmseg - INFO - Iter [115850/160000] lr: 4.687e-06, eta: 2:39:03, time: 0.167, data_time: 0.007, memory: 52541, decode.loss_ce: 0.1861, decode.acc_seg: 92.4156, loss: 0.1861 +2023-03-04 08:09:31,647 - mmseg - INFO - Iter [115900/160000] lr: 4.687e-06, eta: 2:38:51, time: 0.167, data_time: 0.007, memory: 52541, decode.loss_ce: 0.1847, decode.acc_seg: 92.2713, loss: 0.1847 +2023-03-04 08:09:40,126 - mmseg - INFO - Iter [115950/160000] lr: 4.687e-06, eta: 2:38:39, time: 0.170, data_time: 0.007, memory: 52541, decode.loss_ce: 0.1900, decode.acc_seg: 92.1383, loss: 0.1900 +2023-03-04 08:09:48,616 - mmseg - INFO - Exp name: ablation_segformer_mit_b2_segformer_head_unet_fc_small_multi_step_ade_pretrained_freeze_embed_160k_ade20k151_finetune_ema_winit.py +2023-03-04 08:09:48,616 - mmseg - INFO - Iter [116000/160000] lr: 4.687e-06, eta: 2:38:27, time: 0.170, data_time: 0.007, memory: 52541, decode.loss_ce: 0.1824, decode.acc_seg: 92.4248, loss: 0.1824 +2023-03-04 08:09:57,336 - mmseg - INFO - Iter [116050/160000] lr: 4.687e-06, eta: 2:38:16, time: 0.174, data_time: 0.007, memory: 52541, decode.loss_ce: 0.1755, decode.acc_seg: 92.5593, loss: 0.1755 +2023-03-04 08:10:05,721 - mmseg - INFO - Iter [116100/160000] lr: 4.687e-06, eta: 2:38:04, time: 0.168, data_time: 0.007, memory: 52541, decode.loss_ce: 0.1838, decode.acc_seg: 92.4502, loss: 0.1838 +2023-03-04 08:10:16,760 - mmseg - INFO - Iter [116150/160000] lr: 4.687e-06, eta: 2:37:53, time: 0.221, data_time: 0.055, memory: 52541, decode.loss_ce: 0.1810, decode.acc_seg: 92.4917, loss: 0.1810 +2023-03-04 08:10:25,396 - mmseg - INFO - Iter [116200/160000] lr: 4.687e-06, eta: 2:37:42, time: 0.173, data_time: 0.007, memory: 52541, decode.loss_ce: 0.1818, decode.acc_seg: 92.4832, loss: 0.1818 +2023-03-04 08:10:33,996 - mmseg - INFO - Iter [116250/160000] lr: 4.687e-06, eta: 2:37:30, time: 0.172, data_time: 0.007, memory: 52541, decode.loss_ce: 0.1899, decode.acc_seg: 92.3629, loss: 0.1899 +2023-03-04 08:10:43,050 - mmseg - INFO - Iter [116300/160000] lr: 4.687e-06, eta: 2:37:19, time: 0.181, data_time: 0.007, memory: 52541, decode.loss_ce: 0.1864, decode.acc_seg: 92.2408, loss: 0.1864 +2023-03-04 08:10:51,565 - mmseg - INFO - Iter [116350/160000] lr: 4.687e-06, eta: 2:37:07, time: 0.170, data_time: 0.007, memory: 52541, decode.loss_ce: 0.1875, decode.acc_seg: 92.1914, loss: 0.1875 +2023-03-04 08:10:59,956 - mmseg - INFO - Iter [116400/160000] lr: 4.687e-06, eta: 2:36:55, time: 0.168, data_time: 0.007, memory: 52541, decode.loss_ce: 0.1891, decode.acc_seg: 92.2654, loss: 0.1891 +2023-03-04 08:11:08,351 - mmseg - INFO - Iter [116450/160000] lr: 4.687e-06, eta: 2:36:44, time: 0.168, data_time: 0.007, memory: 52541, decode.loss_ce: 0.1902, decode.acc_seg: 92.1518, loss: 0.1902 +2023-03-04 08:11:17,167 - mmseg - INFO - Iter [116500/160000] lr: 4.687e-06, eta: 2:36:32, time: 0.177, data_time: 0.007, memory: 52541, decode.loss_ce: 0.1864, decode.acc_seg: 92.4437, loss: 0.1864 +2023-03-04 08:11:25,458 - mmseg - INFO - Iter [116550/160000] lr: 4.687e-06, eta: 2:36:20, time: 0.166, data_time: 0.007, memory: 52541, decode.loss_ce: 0.1804, decode.acc_seg: 92.5255, loss: 0.1804 +2023-03-04 08:11:34,085 - mmseg - INFO - Iter [116600/160000] lr: 4.687e-06, eta: 2:36:09, time: 0.173, data_time: 0.007, memory: 52541, decode.loss_ce: 0.1876, decode.acc_seg: 92.3442, loss: 0.1876 +2023-03-04 08:11:42,532 - mmseg - INFO - Iter [116650/160000] lr: 4.687e-06, eta: 2:35:57, time: 0.169, data_time: 0.007, memory: 52541, decode.loss_ce: 0.1861, decode.acc_seg: 92.3955, loss: 0.1861 +2023-03-04 08:11:50,734 - mmseg - INFO - Iter [116700/160000] lr: 4.687e-06, eta: 2:35:45, time: 0.164, data_time: 0.007, memory: 52541, decode.loss_ce: 0.1864, decode.acc_seg: 92.3333, loss: 0.1864 +2023-03-04 08:12:01,606 - mmseg - INFO - Iter [116750/160000] lr: 4.687e-06, eta: 2:35:35, time: 0.217, data_time: 0.057, memory: 52541, decode.loss_ce: 0.1884, decode.acc_seg: 92.2679, loss: 0.1884 +2023-03-04 08:12:09,944 - mmseg - INFO - Iter [116800/160000] lr: 4.687e-06, eta: 2:35:23, time: 0.167, data_time: 0.007, memory: 52541, decode.loss_ce: 0.1884, decode.acc_seg: 92.3054, loss: 0.1884 +2023-03-04 08:12:18,258 - mmseg - INFO - Iter [116850/160000] lr: 4.687e-06, eta: 2:35:11, time: 0.166, data_time: 0.007, memory: 52541, decode.loss_ce: 0.1909, decode.acc_seg: 92.1850, loss: 0.1909 +2023-03-04 08:12:26,729 - mmseg - INFO - Iter [116900/160000] lr: 4.687e-06, eta: 2:35:00, time: 0.169, data_time: 0.007, memory: 52541, decode.loss_ce: 0.1822, decode.acc_seg: 92.3355, loss: 0.1822 +2023-03-04 08:12:35,386 - mmseg - INFO - Iter [116950/160000] lr: 4.687e-06, eta: 2:34:48, time: 0.173, data_time: 0.008, memory: 52541, decode.loss_ce: 0.1899, decode.acc_seg: 92.2307, loss: 0.1899 +2023-03-04 08:12:44,291 - mmseg - INFO - Exp name: ablation_segformer_mit_b2_segformer_head_unet_fc_small_multi_step_ade_pretrained_freeze_embed_160k_ade20k151_finetune_ema_winit.py +2023-03-04 08:12:44,291 - mmseg - INFO - Iter [117000/160000] lr: 4.687e-06, eta: 2:34:36, time: 0.178, data_time: 0.007, memory: 52541, decode.loss_ce: 0.1845, decode.acc_seg: 92.3215, loss: 0.1845 +2023-03-04 08:12:52,640 - mmseg - INFO - Iter [117050/160000] lr: 4.687e-06, eta: 2:34:25, time: 0.167, data_time: 0.007, memory: 52541, decode.loss_ce: 0.1758, decode.acc_seg: 92.7876, loss: 0.1758 +2023-03-04 08:13:01,517 - mmseg - INFO - Iter [117100/160000] lr: 4.687e-06, eta: 2:34:13, time: 0.177, data_time: 0.007, memory: 52541, decode.loss_ce: 0.1876, decode.acc_seg: 92.3228, loss: 0.1876 +2023-03-04 08:13:10,034 - mmseg - INFO - Iter [117150/160000] lr: 4.687e-06, eta: 2:34:02, time: 0.170, data_time: 0.007, memory: 52541, decode.loss_ce: 0.1837, decode.acc_seg: 92.3302, loss: 0.1837 +2023-03-04 08:13:18,394 - mmseg - INFO - Iter [117200/160000] lr: 4.687e-06, eta: 2:33:50, time: 0.167, data_time: 0.007, memory: 52541, decode.loss_ce: 0.1828, decode.acc_seg: 92.5164, loss: 0.1828 +2023-03-04 08:13:26,833 - mmseg - INFO - Iter [117250/160000] lr: 4.687e-06, eta: 2:33:38, time: 0.169, data_time: 0.007, memory: 52541, decode.loss_ce: 0.1867, decode.acc_seg: 92.3682, loss: 0.1867 +2023-03-04 08:13:35,601 - mmseg - INFO - Iter [117300/160000] lr: 4.687e-06, eta: 2:33:27, time: 0.175, data_time: 0.007, memory: 52541, decode.loss_ce: 0.1858, decode.acc_seg: 92.1953, loss: 0.1858 +2023-03-04 08:13:44,852 - mmseg - INFO - Iter [117350/160000] lr: 4.687e-06, eta: 2:33:16, time: 0.185, data_time: 0.009, memory: 52541, decode.loss_ce: 0.1829, decode.acc_seg: 92.4269, loss: 0.1829 +2023-03-04 08:13:56,194 - mmseg - INFO - Iter [117400/160000] lr: 4.687e-06, eta: 2:33:05, time: 0.227, data_time: 0.053, memory: 52541, decode.loss_ce: 0.1825, decode.acc_seg: 92.3867, loss: 0.1825 +2023-03-04 08:14:04,793 - mmseg - INFO - Iter [117450/160000] lr: 4.687e-06, eta: 2:32:53, time: 0.172, data_time: 0.007, memory: 52541, decode.loss_ce: 0.1834, decode.acc_seg: 92.3666, loss: 0.1834 +2023-03-04 08:14:13,225 - mmseg - INFO - Iter [117500/160000] lr: 4.687e-06, eta: 2:32:42, time: 0.169, data_time: 0.007, memory: 52541, decode.loss_ce: 0.1806, decode.acc_seg: 92.5656, loss: 0.1806 +2023-03-04 08:14:22,085 - mmseg - INFO - Iter [117550/160000] lr: 4.687e-06, eta: 2:32:30, time: 0.177, data_time: 0.007, memory: 52541, decode.loss_ce: 0.1881, decode.acc_seg: 92.3125, loss: 0.1881 +2023-03-04 08:14:30,532 - mmseg - INFO - Iter [117600/160000] lr: 4.687e-06, eta: 2:32:19, time: 0.169, data_time: 0.008, memory: 52541, decode.loss_ce: 0.1862, decode.acc_seg: 92.3736, loss: 0.1862 +2023-03-04 08:14:39,416 - mmseg - INFO - Iter [117650/160000] lr: 4.687e-06, eta: 2:32:07, time: 0.178, data_time: 0.007, memory: 52541, decode.loss_ce: 0.1858, decode.acc_seg: 92.2869, loss: 0.1858 +2023-03-04 08:14:47,757 - mmseg - INFO - Iter [117700/160000] lr: 4.687e-06, eta: 2:31:56, time: 0.167, data_time: 0.007, memory: 52541, decode.loss_ce: 0.1866, decode.acc_seg: 92.4410, loss: 0.1866 +2023-03-04 08:14:56,388 - mmseg - INFO - Iter [117750/160000] lr: 4.687e-06, eta: 2:31:44, time: 0.173, data_time: 0.007, memory: 52541, decode.loss_ce: 0.1834, decode.acc_seg: 92.4454, loss: 0.1834 +2023-03-04 08:15:04,978 - mmseg - INFO - Iter [117800/160000] lr: 4.687e-06, eta: 2:31:32, time: 0.172, data_time: 0.007, memory: 52541, decode.loss_ce: 0.1915, decode.acc_seg: 92.1481, loss: 0.1915 +2023-03-04 08:15:13,675 - mmseg - INFO - Iter [117850/160000] lr: 4.687e-06, eta: 2:31:21, time: 0.174, data_time: 0.007, memory: 52541, decode.loss_ce: 0.1794, decode.acc_seg: 92.5338, loss: 0.1794 +2023-03-04 08:15:22,424 - mmseg - INFO - Iter [117900/160000] lr: 4.687e-06, eta: 2:31:09, time: 0.175, data_time: 0.007, memory: 52541, decode.loss_ce: 0.1859, decode.acc_seg: 92.2581, loss: 0.1859 +2023-03-04 08:15:31,158 - mmseg - INFO - Iter [117950/160000] lr: 4.687e-06, eta: 2:30:58, time: 0.175, data_time: 0.007, memory: 52541, decode.loss_ce: 0.1844, decode.acc_seg: 92.1263, loss: 0.1844 +2023-03-04 08:15:42,518 - mmseg - INFO - Exp name: ablation_segformer_mit_b2_segformer_head_unet_fc_small_multi_step_ade_pretrained_freeze_embed_160k_ade20k151_finetune_ema_winit.py +2023-03-04 08:15:42,518 - mmseg - INFO - Iter [118000/160000] lr: 4.687e-06, eta: 2:30:47, time: 0.227, data_time: 0.056, memory: 52541, decode.loss_ce: 0.1820, decode.acc_seg: 92.4533, loss: 0.1820 +2023-03-04 08:15:50,861 - mmseg - INFO - Iter [118050/160000] lr: 4.687e-06, eta: 2:30:36, time: 0.167, data_time: 0.007, memory: 52541, decode.loss_ce: 0.1863, decode.acc_seg: 92.3738, loss: 0.1863 +2023-03-04 08:15:59,431 - mmseg - INFO - Iter [118100/160000] lr: 4.687e-06, eta: 2:30:24, time: 0.171, data_time: 0.007, memory: 52541, decode.loss_ce: 0.1847, decode.acc_seg: 92.4038, loss: 0.1847 +2023-03-04 08:16:08,235 - mmseg - INFO - Iter [118150/160000] lr: 4.687e-06, eta: 2:30:13, time: 0.176, data_time: 0.008, memory: 52541, decode.loss_ce: 0.1852, decode.acc_seg: 92.3526, loss: 0.1852 +2023-03-04 08:16:16,593 - mmseg - INFO - Iter [118200/160000] lr: 4.687e-06, eta: 2:30:01, time: 0.167, data_time: 0.007, memory: 52541, decode.loss_ce: 0.1784, decode.acc_seg: 92.5856, loss: 0.1784 +2023-03-04 08:16:25,850 - mmseg - INFO - Iter [118250/160000] lr: 4.687e-06, eta: 2:29:50, time: 0.185, data_time: 0.006, memory: 52541, decode.loss_ce: 0.1909, decode.acc_seg: 92.1337, loss: 0.1909 +2023-03-04 08:16:34,571 - mmseg - INFO - Iter [118300/160000] lr: 4.687e-06, eta: 2:29:38, time: 0.174, data_time: 0.007, memory: 52541, decode.loss_ce: 0.1940, decode.acc_seg: 92.0317, loss: 0.1940 +2023-03-04 08:16:43,222 - mmseg - INFO - Iter [118350/160000] lr: 4.687e-06, eta: 2:29:27, time: 0.173, data_time: 0.007, memory: 52541, decode.loss_ce: 0.1869, decode.acc_seg: 92.2449, loss: 0.1869 +2023-03-04 08:16:52,101 - mmseg - INFO - Iter [118400/160000] lr: 4.687e-06, eta: 2:29:15, time: 0.177, data_time: 0.007, memory: 52541, decode.loss_ce: 0.1854, decode.acc_seg: 92.3615, loss: 0.1854 +2023-03-04 08:17:00,436 - mmseg - INFO - Iter [118450/160000] lr: 4.687e-06, eta: 2:29:04, time: 0.167, data_time: 0.008, memory: 52541, decode.loss_ce: 0.1986, decode.acc_seg: 92.0066, loss: 0.1986 +2023-03-04 08:17:09,062 - mmseg - INFO - Iter [118500/160000] lr: 4.687e-06, eta: 2:28:52, time: 0.173, data_time: 0.007, memory: 52541, decode.loss_ce: 0.1862, decode.acc_seg: 92.4629, loss: 0.1862 +2023-03-04 08:17:17,741 - mmseg - INFO - Iter [118550/160000] lr: 4.687e-06, eta: 2:28:41, time: 0.173, data_time: 0.007, memory: 52541, decode.loss_ce: 0.1801, decode.acc_seg: 92.5065, loss: 0.1801 +2023-03-04 08:17:26,113 - mmseg - INFO - Iter [118600/160000] lr: 4.687e-06, eta: 2:28:29, time: 0.168, data_time: 0.007, memory: 52541, decode.loss_ce: 0.1811, decode.acc_seg: 92.4672, loss: 0.1811 +2023-03-04 08:17:37,299 - mmseg - INFO - Iter [118650/160000] lr: 4.687e-06, eta: 2:28:19, time: 0.223, data_time: 0.055, memory: 52541, decode.loss_ce: 0.1794, decode.acc_seg: 92.5989, loss: 0.1794 +2023-03-04 08:17:46,037 - mmseg - INFO - Iter [118700/160000] lr: 4.687e-06, eta: 2:28:07, time: 0.175, data_time: 0.008, memory: 52541, decode.loss_ce: 0.1908, decode.acc_seg: 92.2182, loss: 0.1908 +2023-03-04 08:17:54,565 - mmseg - INFO - Iter [118750/160000] lr: 4.687e-06, eta: 2:27:56, time: 0.171, data_time: 0.008, memory: 52541, decode.loss_ce: 0.1840, decode.acc_seg: 92.3181, loss: 0.1840 +2023-03-04 08:18:03,231 - mmseg - INFO - Iter [118800/160000] lr: 4.687e-06, eta: 2:27:44, time: 0.173, data_time: 0.007, memory: 52541, decode.loss_ce: 0.1880, decode.acc_seg: 92.1794, loss: 0.1880 +2023-03-04 08:18:11,762 - mmseg - INFO - Iter [118850/160000] lr: 4.687e-06, eta: 2:27:33, time: 0.171, data_time: 0.007, memory: 52541, decode.loss_ce: 0.1865, decode.acc_seg: 92.2836, loss: 0.1865 +2023-03-04 08:18:20,442 - mmseg - INFO - Iter [118900/160000] lr: 4.687e-06, eta: 2:27:21, time: 0.174, data_time: 0.007, memory: 52541, decode.loss_ce: 0.1808, decode.acc_seg: 92.6228, loss: 0.1808 +2023-03-04 08:18:29,176 - mmseg - INFO - Iter [118950/160000] lr: 4.687e-06, eta: 2:27:10, time: 0.175, data_time: 0.007, memory: 52541, decode.loss_ce: 0.1761, decode.acc_seg: 92.4948, loss: 0.1761 +2023-03-04 08:18:38,176 - mmseg - INFO - Exp name: ablation_segformer_mit_b2_segformer_head_unet_fc_small_multi_step_ade_pretrained_freeze_embed_160k_ade20k151_finetune_ema_winit.py +2023-03-04 08:18:38,176 - mmseg - INFO - Iter [119000/160000] lr: 4.687e-06, eta: 2:26:58, time: 0.180, data_time: 0.007, memory: 52541, decode.loss_ce: 0.1863, decode.acc_seg: 92.4187, loss: 0.1863 +2023-03-04 08:18:46,450 - mmseg - INFO - Iter [119050/160000] lr: 4.687e-06, eta: 2:26:47, time: 0.165, data_time: 0.007, memory: 52541, decode.loss_ce: 0.1866, decode.acc_seg: 92.3612, loss: 0.1866 +2023-03-04 08:18:55,427 - mmseg - INFO - Iter [119100/160000] lr: 4.687e-06, eta: 2:26:35, time: 0.180, data_time: 0.006, memory: 52541, decode.loss_ce: 0.1825, decode.acc_seg: 92.5684, loss: 0.1825 +2023-03-04 08:19:03,776 - mmseg - INFO - Iter [119150/160000] lr: 4.687e-06, eta: 2:26:24, time: 0.167, data_time: 0.007, memory: 52541, decode.loss_ce: 0.1877, decode.acc_seg: 92.1690, loss: 0.1877 +2023-03-04 08:19:12,875 - mmseg - INFO - Iter [119200/160000] lr: 4.687e-06, eta: 2:26:12, time: 0.182, data_time: 0.006, memory: 52541, decode.loss_ce: 0.1808, decode.acc_seg: 92.5791, loss: 0.1808 +2023-03-04 08:19:21,303 - mmseg - INFO - Iter [119250/160000] lr: 4.687e-06, eta: 2:26:01, time: 0.169, data_time: 0.007, memory: 52541, decode.loss_ce: 0.1814, decode.acc_seg: 92.4652, loss: 0.1814 +2023-03-04 08:19:32,310 - mmseg - INFO - Iter [119300/160000] lr: 4.687e-06, eta: 2:25:50, time: 0.220, data_time: 0.055, memory: 52541, decode.loss_ce: 0.1831, decode.acc_seg: 92.4125, loss: 0.1831 +2023-03-04 08:19:40,637 - mmseg - INFO - Iter [119350/160000] lr: 4.687e-06, eta: 2:25:39, time: 0.167, data_time: 0.007, memory: 52541, decode.loss_ce: 0.1861, decode.acc_seg: 92.4166, loss: 0.1861 +2023-03-04 08:19:49,224 - mmseg - INFO - Iter [119400/160000] lr: 4.687e-06, eta: 2:25:27, time: 0.172, data_time: 0.007, memory: 52541, decode.loss_ce: 0.1869, decode.acc_seg: 92.3238, loss: 0.1869 +2023-03-04 08:19:58,306 - mmseg - INFO - Iter [119450/160000] lr: 4.687e-06, eta: 2:25:16, time: 0.181, data_time: 0.007, memory: 52541, decode.loss_ce: 0.1852, decode.acc_seg: 92.2721, loss: 0.1852 +2023-03-04 08:20:07,056 - mmseg - INFO - Iter [119500/160000] lr: 4.687e-06, eta: 2:25:04, time: 0.175, data_time: 0.007, memory: 52541, decode.loss_ce: 0.1918, decode.acc_seg: 92.2576, loss: 0.1918 +2023-03-04 08:20:15,757 - mmseg - INFO - Iter [119550/160000] lr: 4.687e-06, eta: 2:24:53, time: 0.174, data_time: 0.007, memory: 52541, decode.loss_ce: 0.1867, decode.acc_seg: 92.2217, loss: 0.1867 +2023-03-04 08:20:24,144 - mmseg - INFO - Iter [119600/160000] lr: 4.687e-06, eta: 2:24:41, time: 0.167, data_time: 0.007, memory: 52541, decode.loss_ce: 0.1846, decode.acc_seg: 92.5173, loss: 0.1846 +2023-03-04 08:20:32,779 - mmseg - INFO - Iter [119650/160000] lr: 4.687e-06, eta: 2:24:30, time: 0.173, data_time: 0.008, memory: 52541, decode.loss_ce: 0.1884, decode.acc_seg: 92.2986, loss: 0.1884 +2023-03-04 08:20:41,037 - mmseg - INFO - Iter [119700/160000] lr: 4.687e-06, eta: 2:24:18, time: 0.165, data_time: 0.007, memory: 52541, decode.loss_ce: 0.1891, decode.acc_seg: 92.2204, loss: 0.1891 +2023-03-04 08:20:49,500 - mmseg - INFO - Iter [119750/160000] lr: 4.687e-06, eta: 2:24:07, time: 0.169, data_time: 0.007, memory: 52541, decode.loss_ce: 0.1871, decode.acc_seg: 92.3765, loss: 0.1871 +2023-03-04 08:20:58,053 - mmseg - INFO - Iter [119800/160000] lr: 4.687e-06, eta: 2:23:55, time: 0.171, data_time: 0.007, memory: 52541, decode.loss_ce: 0.1799, decode.acc_seg: 92.5180, loss: 0.1799 +2023-03-04 08:21:06,597 - mmseg - INFO - Iter [119850/160000] lr: 4.687e-06, eta: 2:23:44, time: 0.171, data_time: 0.007, memory: 52541, decode.loss_ce: 0.1894, decode.acc_seg: 92.2775, loss: 0.1894 +2023-03-04 08:21:17,582 - mmseg - INFO - Iter [119900/160000] lr: 4.687e-06, eta: 2:23:33, time: 0.220, data_time: 0.058, memory: 52541, decode.loss_ce: 0.1811, decode.acc_seg: 92.6382, loss: 0.1811 +2023-03-04 08:21:26,043 - mmseg - INFO - Iter [119950/160000] lr: 4.687e-06, eta: 2:23:22, time: 0.169, data_time: 0.007, memory: 52541, decode.loss_ce: 0.1873, decode.acc_seg: 92.4276, loss: 0.1873 +2023-03-04 08:21:34,769 - mmseg - INFO - Exp name: ablation_segformer_mit_b2_segformer_head_unet_fc_small_multi_step_ade_pretrained_freeze_embed_160k_ade20k151_finetune_ema_winit.py +2023-03-04 08:21:34,769 - mmseg - INFO - Iter [120000/160000] lr: 4.687e-06, eta: 2:23:10, time: 0.174, data_time: 0.007, memory: 52541, decode.loss_ce: 0.1825, decode.acc_seg: 92.4031, loss: 0.1825 +2023-03-04 08:21:43,182 - mmseg - INFO - Iter [120050/160000] lr: 2.344e-06, eta: 2:22:59, time: 0.169, data_time: 0.007, memory: 52541, decode.loss_ce: 0.1780, decode.acc_seg: 92.7022, loss: 0.1780 +2023-03-04 08:21:51,993 - mmseg - INFO - Iter [120100/160000] lr: 2.344e-06, eta: 2:22:47, time: 0.176, data_time: 0.007, memory: 52541, decode.loss_ce: 0.1944, decode.acc_seg: 91.9565, loss: 0.1944 +2023-03-04 08:22:00,821 - mmseg - INFO - Iter [120150/160000] lr: 2.344e-06, eta: 2:22:36, time: 0.177, data_time: 0.007, memory: 52541, decode.loss_ce: 0.1847, decode.acc_seg: 92.3848, loss: 0.1847 +2023-03-04 08:22:09,297 - mmseg - INFO - Iter [120200/160000] lr: 2.344e-06, eta: 2:22:25, time: 0.170, data_time: 0.007, memory: 52541, decode.loss_ce: 0.1852, decode.acc_seg: 92.4742, loss: 0.1852 +2023-03-04 08:22:18,138 - mmseg - INFO - Iter [120250/160000] lr: 2.344e-06, eta: 2:22:13, time: 0.177, data_time: 0.007, memory: 52541, decode.loss_ce: 0.1890, decode.acc_seg: 92.1682, loss: 0.1890 +2023-03-04 08:22:26,383 - mmseg - INFO - Iter [120300/160000] lr: 2.344e-06, eta: 2:22:02, time: 0.165, data_time: 0.007, memory: 52541, decode.loss_ce: 0.1878, decode.acc_seg: 92.2969, loss: 0.1878 +2023-03-04 08:22:34,695 - mmseg - INFO - Iter [120350/160000] lr: 2.344e-06, eta: 2:21:50, time: 0.167, data_time: 0.008, memory: 52541, decode.loss_ce: 0.1881, decode.acc_seg: 92.1727, loss: 0.1881 +2023-03-04 08:22:43,128 - mmseg - INFO - Iter [120400/160000] lr: 2.344e-06, eta: 2:21:39, time: 0.169, data_time: 0.007, memory: 52541, decode.loss_ce: 0.1795, decode.acc_seg: 92.6090, loss: 0.1795 +2023-03-04 08:22:51,492 - mmseg - INFO - Iter [120450/160000] lr: 2.344e-06, eta: 2:21:27, time: 0.167, data_time: 0.007, memory: 52541, decode.loss_ce: 0.1885, decode.acc_seg: 92.2813, loss: 0.1885 +2023-03-04 08:23:00,261 - mmseg - INFO - Iter [120500/160000] lr: 2.344e-06, eta: 2:21:16, time: 0.175, data_time: 0.008, memory: 52541, decode.loss_ce: 0.1821, decode.acc_seg: 92.5343, loss: 0.1821 +2023-03-04 08:23:11,369 - mmseg - INFO - Iter [120550/160000] lr: 2.344e-06, eta: 2:21:05, time: 0.222, data_time: 0.054, memory: 52541, decode.loss_ce: 0.1805, decode.acc_seg: 92.5438, loss: 0.1805 +2023-03-04 08:23:19,742 - mmseg - INFO - Iter [120600/160000] lr: 2.344e-06, eta: 2:20:54, time: 0.167, data_time: 0.007, memory: 52541, decode.loss_ce: 0.1878, decode.acc_seg: 92.2822, loss: 0.1878 +2023-03-04 08:23:28,221 - mmseg - INFO - Iter [120650/160000] lr: 2.344e-06, eta: 2:20:42, time: 0.170, data_time: 0.007, memory: 52541, decode.loss_ce: 0.1795, decode.acc_seg: 92.6478, loss: 0.1795 +2023-03-04 08:23:37,079 - mmseg - INFO - Iter [120700/160000] lr: 2.344e-06, eta: 2:20:31, time: 0.177, data_time: 0.007, memory: 52541, decode.loss_ce: 0.1851, decode.acc_seg: 92.4382, loss: 0.1851 +2023-03-04 08:23:45,715 - mmseg - INFO - Iter [120750/160000] lr: 2.344e-06, eta: 2:20:19, time: 0.173, data_time: 0.007, memory: 52541, decode.loss_ce: 0.1888, decode.acc_seg: 92.3026, loss: 0.1888 +2023-03-04 08:23:54,123 - mmseg - INFO - Iter [120800/160000] lr: 2.344e-06, eta: 2:20:08, time: 0.168, data_time: 0.007, memory: 52541, decode.loss_ce: 0.1898, decode.acc_seg: 92.1122, loss: 0.1898 +2023-03-04 08:24:02,626 - mmseg - INFO - Iter [120850/160000] lr: 2.344e-06, eta: 2:19:57, time: 0.170, data_time: 0.007, memory: 52541, decode.loss_ce: 0.1832, decode.acc_seg: 92.5054, loss: 0.1832 +2023-03-04 08:24:11,284 - mmseg - INFO - Iter [120900/160000] lr: 2.344e-06, eta: 2:19:45, time: 0.173, data_time: 0.007, memory: 52541, decode.loss_ce: 0.1888, decode.acc_seg: 92.3931, loss: 0.1888 +2023-03-04 08:24:19,782 - mmseg - INFO - Iter [120950/160000] lr: 2.344e-06, eta: 2:19:34, time: 0.170, data_time: 0.007, memory: 52541, decode.loss_ce: 0.1859, decode.acc_seg: 92.4002, loss: 0.1859 +2023-03-04 08:24:28,327 - mmseg - INFO - Exp name: ablation_segformer_mit_b2_segformer_head_unet_fc_small_multi_step_ade_pretrained_freeze_embed_160k_ade20k151_finetune_ema_winit.py +2023-03-04 08:24:28,327 - mmseg - INFO - Iter [121000/160000] lr: 2.344e-06, eta: 2:19:22, time: 0.171, data_time: 0.007, memory: 52541, decode.loss_ce: 0.1802, decode.acc_seg: 92.5539, loss: 0.1802 +2023-03-04 08:24:36,928 - mmseg - INFO - Iter [121050/160000] lr: 2.344e-06, eta: 2:19:11, time: 0.172, data_time: 0.007, memory: 52541, decode.loss_ce: 0.1832, decode.acc_seg: 92.3384, loss: 0.1832 +2023-03-04 08:24:45,529 - mmseg - INFO - Iter [121100/160000] lr: 2.344e-06, eta: 2:18:59, time: 0.172, data_time: 0.007, memory: 52541, decode.loss_ce: 0.1867, decode.acc_seg: 92.2984, loss: 0.1867 +2023-03-04 08:24:53,898 - mmseg - INFO - Iter [121150/160000] lr: 2.344e-06, eta: 2:18:48, time: 0.167, data_time: 0.007, memory: 52541, decode.loss_ce: 0.1824, decode.acc_seg: 92.5690, loss: 0.1824 +2023-03-04 08:25:05,027 - mmseg - INFO - Iter [121200/160000] lr: 2.344e-06, eta: 2:18:37, time: 0.223, data_time: 0.055, memory: 52541, decode.loss_ce: 0.1910, decode.acc_seg: 92.2281, loss: 0.1910 +2023-03-04 08:25:13,910 - mmseg - INFO - Iter [121250/160000] lr: 2.344e-06, eta: 2:18:26, time: 0.177, data_time: 0.007, memory: 52541, decode.loss_ce: 0.1840, decode.acc_seg: 92.4234, loss: 0.1840 +2023-03-04 08:25:22,163 - mmseg - INFO - Iter [121300/160000] lr: 2.344e-06, eta: 2:18:15, time: 0.165, data_time: 0.007, memory: 52541, decode.loss_ce: 0.1845, decode.acc_seg: 92.3909, loss: 0.1845 +2023-03-04 08:25:30,866 - mmseg - INFO - Iter [121350/160000] lr: 2.344e-06, eta: 2:18:03, time: 0.174, data_time: 0.007, memory: 52541, decode.loss_ce: 0.1759, decode.acc_seg: 92.6779, loss: 0.1759 +2023-03-04 08:25:39,340 - mmseg - INFO - Iter [121400/160000] lr: 2.344e-06, eta: 2:17:52, time: 0.169, data_time: 0.007, memory: 52541, decode.loss_ce: 0.1850, decode.acc_seg: 92.3839, loss: 0.1850 +2023-03-04 08:25:47,761 - mmseg - INFO - Iter [121450/160000] lr: 2.344e-06, eta: 2:17:40, time: 0.168, data_time: 0.007, memory: 52541, decode.loss_ce: 0.1826, decode.acc_seg: 92.5622, loss: 0.1826 +2023-03-04 08:25:56,270 - mmseg - INFO - Iter [121500/160000] lr: 2.344e-06, eta: 2:17:29, time: 0.170, data_time: 0.007, memory: 52541, decode.loss_ce: 0.1805, decode.acc_seg: 92.5270, loss: 0.1805 +2023-03-04 08:26:05,134 - mmseg - INFO - Iter [121550/160000] lr: 2.344e-06, eta: 2:17:18, time: 0.177, data_time: 0.007, memory: 52541, decode.loss_ce: 0.1803, decode.acc_seg: 92.6758, loss: 0.1803 +2023-03-04 08:26:14,168 - mmseg - INFO - Iter [121600/160000] lr: 2.344e-06, eta: 2:17:06, time: 0.181, data_time: 0.007, memory: 52541, decode.loss_ce: 0.1888, decode.acc_seg: 92.2670, loss: 0.1888 +2023-03-04 08:26:22,575 - mmseg - INFO - Iter [121650/160000] lr: 2.344e-06, eta: 2:16:55, time: 0.168, data_time: 0.007, memory: 52541, decode.loss_ce: 0.1938, decode.acc_seg: 92.0849, loss: 0.1938 +2023-03-04 08:26:31,287 - mmseg - INFO - Iter [121700/160000] lr: 2.344e-06, eta: 2:16:44, time: 0.174, data_time: 0.007, memory: 52541, decode.loss_ce: 0.1884, decode.acc_seg: 92.2446, loss: 0.1884 +2023-03-04 08:26:40,111 - mmseg - INFO - Iter [121750/160000] lr: 2.344e-06, eta: 2:16:32, time: 0.177, data_time: 0.007, memory: 52541, decode.loss_ce: 0.1902, decode.acc_seg: 92.2684, loss: 0.1902 +2023-03-04 08:26:51,056 - mmseg - INFO - Iter [121800/160000] lr: 2.344e-06, eta: 2:16:22, time: 0.219, data_time: 0.054, memory: 52541, decode.loss_ce: 0.1916, decode.acc_seg: 92.1098, loss: 0.1916 +2023-03-04 08:26:59,595 - mmseg - INFO - Iter [121850/160000] lr: 2.344e-06, eta: 2:16:10, time: 0.171, data_time: 0.007, memory: 52541, decode.loss_ce: 0.1867, decode.acc_seg: 92.3501, loss: 0.1867 +2023-03-04 08:27:08,474 - mmseg - INFO - Iter [121900/160000] lr: 2.344e-06, eta: 2:15:59, time: 0.177, data_time: 0.007, memory: 52541, decode.loss_ce: 0.1848, decode.acc_seg: 92.2690, loss: 0.1848 +2023-03-04 08:27:17,292 - mmseg - INFO - Iter [121950/160000] lr: 2.344e-06, eta: 2:15:48, time: 0.177, data_time: 0.007, memory: 52541, decode.loss_ce: 0.1847, decode.acc_seg: 92.4346, loss: 0.1847 +2023-03-04 08:27:25,666 - mmseg - INFO - Exp name: ablation_segformer_mit_b2_segformer_head_unet_fc_small_multi_step_ade_pretrained_freeze_embed_160k_ade20k151_finetune_ema_winit.py +2023-03-04 08:27:25,666 - mmseg - INFO - Iter [122000/160000] lr: 2.344e-06, eta: 2:15:36, time: 0.167, data_time: 0.008, memory: 52541, decode.loss_ce: 0.1925, decode.acc_seg: 92.0581, loss: 0.1925 +2023-03-04 08:27:34,047 - mmseg - INFO - Iter [122050/160000] lr: 2.344e-06, eta: 2:15:25, time: 0.168, data_time: 0.007, memory: 52541, decode.loss_ce: 0.1822, decode.acc_seg: 92.6092, loss: 0.1822 +2023-03-04 08:27:42,533 - mmseg - INFO - Iter [122100/160000] lr: 2.344e-06, eta: 2:15:13, time: 0.170, data_time: 0.007, memory: 52541, decode.loss_ce: 0.1900, decode.acc_seg: 92.1438, loss: 0.1900 +2023-03-04 08:27:50,718 - mmseg - INFO - Iter [122150/160000] lr: 2.344e-06, eta: 2:15:02, time: 0.164, data_time: 0.007, memory: 52541, decode.loss_ce: 0.1798, decode.acc_seg: 92.6048, loss: 0.1798 +2023-03-04 08:27:59,311 - mmseg - INFO - Iter [122200/160000] lr: 2.344e-06, eta: 2:14:51, time: 0.172, data_time: 0.007, memory: 52541, decode.loss_ce: 0.1867, decode.acc_seg: 92.3236, loss: 0.1867 +2023-03-04 08:28:08,100 - mmseg - INFO - Iter [122250/160000] lr: 2.344e-06, eta: 2:14:39, time: 0.176, data_time: 0.007, memory: 52541, decode.loss_ce: 0.1842, decode.acc_seg: 92.4145, loss: 0.1842 +2023-03-04 08:28:16,545 - mmseg - INFO - Iter [122300/160000] lr: 2.344e-06, eta: 2:14:28, time: 0.169, data_time: 0.007, memory: 52541, decode.loss_ce: 0.1893, decode.acc_seg: 92.2091, loss: 0.1893 +2023-03-04 08:28:24,796 - mmseg - INFO - Iter [122350/160000] lr: 2.344e-06, eta: 2:14:16, time: 0.165, data_time: 0.007, memory: 52541, decode.loss_ce: 0.1865, decode.acc_seg: 92.4450, loss: 0.1865 +2023-03-04 08:28:33,971 - mmseg - INFO - Iter [122400/160000] lr: 2.344e-06, eta: 2:14:05, time: 0.183, data_time: 0.008, memory: 52541, decode.loss_ce: 0.1745, decode.acc_seg: 92.7201, loss: 0.1745 +2023-03-04 08:28:44,981 - mmseg - INFO - Iter [122450/160000] lr: 2.344e-06, eta: 2:13:55, time: 0.220, data_time: 0.055, memory: 52541, decode.loss_ce: 0.1851, decode.acc_seg: 92.3438, loss: 0.1851 +2023-03-04 08:28:53,515 - mmseg - INFO - Iter [122500/160000] lr: 2.344e-06, eta: 2:13:43, time: 0.171, data_time: 0.007, memory: 52541, decode.loss_ce: 0.1897, decode.acc_seg: 92.2424, loss: 0.1897 +2023-03-04 08:29:01,876 - mmseg - INFO - Iter [122550/160000] lr: 2.344e-06, eta: 2:13:32, time: 0.167, data_time: 0.007, memory: 52541, decode.loss_ce: 0.1777, decode.acc_seg: 92.5718, loss: 0.1777 +2023-03-04 08:29:10,466 - mmseg - INFO - Iter [122600/160000] lr: 2.344e-06, eta: 2:13:21, time: 0.172, data_time: 0.007, memory: 52541, decode.loss_ce: 0.1867, decode.acc_seg: 92.2886, loss: 0.1867 +2023-03-04 08:29:18,914 - mmseg - INFO - Iter [122650/160000] lr: 2.344e-06, eta: 2:13:09, time: 0.169, data_time: 0.007, memory: 52541, decode.loss_ce: 0.1860, decode.acc_seg: 92.4369, loss: 0.1860 +2023-03-04 08:29:27,644 - mmseg - INFO - Iter [122700/160000] lr: 2.344e-06, eta: 2:12:58, time: 0.175, data_time: 0.008, memory: 52541, decode.loss_ce: 0.1908, decode.acc_seg: 92.2108, loss: 0.1908 +2023-03-04 08:29:36,470 - mmseg - INFO - Iter [122750/160000] lr: 2.344e-06, eta: 2:12:47, time: 0.177, data_time: 0.008, memory: 52541, decode.loss_ce: 0.1819, decode.acc_seg: 92.4382, loss: 0.1819 +2023-03-04 08:29:44,817 - mmseg - INFO - Iter [122800/160000] lr: 2.344e-06, eta: 2:12:35, time: 0.167, data_time: 0.007, memory: 52541, decode.loss_ce: 0.1831, decode.acc_seg: 92.5258, loss: 0.1831 +2023-03-04 08:29:53,435 - mmseg - INFO - Iter [122850/160000] lr: 2.344e-06, eta: 2:12:24, time: 0.172, data_time: 0.007, memory: 52541, decode.loss_ce: 0.1848, decode.acc_seg: 92.4236, loss: 0.1848 +2023-03-04 08:30:02,187 - mmseg - INFO - Iter [122900/160000] lr: 2.344e-06, eta: 2:12:13, time: 0.175, data_time: 0.008, memory: 52541, decode.loss_ce: 0.1895, decode.acc_seg: 92.1872, loss: 0.1895 +2023-03-04 08:30:10,524 - mmseg - INFO - Iter [122950/160000] lr: 2.344e-06, eta: 2:12:01, time: 0.167, data_time: 0.007, memory: 52541, decode.loss_ce: 0.1896, decode.acc_seg: 92.1474, loss: 0.1896 +2023-03-04 08:30:18,933 - mmseg - INFO - Exp name: ablation_segformer_mit_b2_segformer_head_unet_fc_small_multi_step_ade_pretrained_freeze_embed_160k_ade20k151_finetune_ema_winit.py +2023-03-04 08:30:18,933 - mmseg - INFO - Iter [123000/160000] lr: 2.344e-06, eta: 2:11:50, time: 0.168, data_time: 0.007, memory: 52541, decode.loss_ce: 0.1790, decode.acc_seg: 92.5925, loss: 0.1790 +2023-03-04 08:30:29,989 - mmseg - INFO - Iter [123050/160000] lr: 2.344e-06, eta: 2:11:39, time: 0.221, data_time: 0.054, memory: 52541, decode.loss_ce: 0.1781, decode.acc_seg: 92.5200, loss: 0.1781 +2023-03-04 08:30:38,810 - mmseg - INFO - Iter [123100/160000] lr: 2.344e-06, eta: 2:11:28, time: 0.176, data_time: 0.007, memory: 52541, decode.loss_ce: 0.1804, decode.acc_seg: 92.4319, loss: 0.1804 +2023-03-04 08:30:47,187 - mmseg - INFO - Iter [123150/160000] lr: 2.344e-06, eta: 2:11:17, time: 0.168, data_time: 0.007, memory: 52541, decode.loss_ce: 0.1857, decode.acc_seg: 92.2799, loss: 0.1857 +2023-03-04 08:30:55,778 - mmseg - INFO - Iter [123200/160000] lr: 2.344e-06, eta: 2:11:05, time: 0.172, data_time: 0.007, memory: 52541, decode.loss_ce: 0.1745, decode.acc_seg: 92.8267, loss: 0.1745 +2023-03-04 08:31:04,438 - mmseg - INFO - Iter [123250/160000] lr: 2.344e-06, eta: 2:10:54, time: 0.173, data_time: 0.007, memory: 52541, decode.loss_ce: 0.1840, decode.acc_seg: 92.2521, loss: 0.1840 +2023-03-04 08:31:13,167 - mmseg - INFO - Iter [123300/160000] lr: 2.344e-06, eta: 2:10:43, time: 0.174, data_time: 0.006, memory: 52541, decode.loss_ce: 0.1804, decode.acc_seg: 92.4201, loss: 0.1804 +2023-03-04 08:31:21,921 - mmseg - INFO - Iter [123350/160000] lr: 2.344e-06, eta: 2:10:32, time: 0.175, data_time: 0.008, memory: 52541, decode.loss_ce: 0.1864, decode.acc_seg: 92.3465, loss: 0.1864 +2023-03-04 08:31:30,338 - mmseg - INFO - Iter [123400/160000] lr: 2.344e-06, eta: 2:10:20, time: 0.168, data_time: 0.007, memory: 52541, decode.loss_ce: 0.1761, decode.acc_seg: 92.5611, loss: 0.1761 +2023-03-04 08:31:38,975 - mmseg - INFO - Iter [123450/160000] lr: 2.344e-06, eta: 2:10:09, time: 0.173, data_time: 0.007, memory: 52541, decode.loss_ce: 0.1865, decode.acc_seg: 92.3401, loss: 0.1865 +2023-03-04 08:31:47,348 - mmseg - INFO - Iter [123500/160000] lr: 2.344e-06, eta: 2:09:58, time: 0.167, data_time: 0.007, memory: 52541, decode.loss_ce: 0.1795, decode.acc_seg: 92.5399, loss: 0.1795 +2023-03-04 08:31:56,023 - mmseg - INFO - Iter [123550/160000] lr: 2.344e-06, eta: 2:09:46, time: 0.174, data_time: 0.007, memory: 52541, decode.loss_ce: 0.1823, decode.acc_seg: 92.6061, loss: 0.1823 +2023-03-04 08:32:04,632 - mmseg - INFO - Iter [123600/160000] lr: 2.344e-06, eta: 2:09:35, time: 0.172, data_time: 0.007, memory: 52541, decode.loss_ce: 0.1828, decode.acc_seg: 92.4951, loss: 0.1828 +2023-03-04 08:32:12,938 - mmseg - INFO - Iter [123650/160000] lr: 2.344e-06, eta: 2:09:24, time: 0.166, data_time: 0.007, memory: 52541, decode.loss_ce: 0.1838, decode.acc_seg: 92.3586, loss: 0.1838 +2023-03-04 08:32:23,601 - mmseg - INFO - Iter [123700/160000] lr: 2.344e-06, eta: 2:09:13, time: 0.213, data_time: 0.056, memory: 52541, decode.loss_ce: 0.1816, decode.acc_seg: 92.5270, loss: 0.1816 +2023-03-04 08:32:32,060 - mmseg - INFO - Iter [123750/160000] lr: 2.344e-06, eta: 2:09:02, time: 0.169, data_time: 0.007, memory: 52541, decode.loss_ce: 0.1844, decode.acc_seg: 92.5449, loss: 0.1844 +2023-03-04 08:32:40,653 - mmseg - INFO - Iter [123800/160000] lr: 2.344e-06, eta: 2:08:50, time: 0.172, data_time: 0.008, memory: 52541, decode.loss_ce: 0.1801, decode.acc_seg: 92.5182, loss: 0.1801 +2023-03-04 08:32:48,978 - mmseg - INFO - Iter [123850/160000] lr: 2.344e-06, eta: 2:08:39, time: 0.167, data_time: 0.007, memory: 52541, decode.loss_ce: 0.1846, decode.acc_seg: 92.5031, loss: 0.1846 +2023-03-04 08:32:57,606 - mmseg - INFO - Iter [123900/160000] lr: 2.344e-06, eta: 2:08:28, time: 0.172, data_time: 0.007, memory: 52541, decode.loss_ce: 0.1844, decode.acc_seg: 92.4224, loss: 0.1844 +2023-03-04 08:33:06,251 - mmseg - INFO - Iter [123950/160000] lr: 2.344e-06, eta: 2:08:16, time: 0.173, data_time: 0.007, memory: 52541, decode.loss_ce: 0.1873, decode.acc_seg: 92.2683, loss: 0.1873 +2023-03-04 08:33:14,686 - mmseg - INFO - Exp name: ablation_segformer_mit_b2_segformer_head_unet_fc_small_multi_step_ade_pretrained_freeze_embed_160k_ade20k151_finetune_ema_winit.py +2023-03-04 08:33:14,686 - mmseg - INFO - Iter [124000/160000] lr: 2.344e-06, eta: 2:08:05, time: 0.169, data_time: 0.007, memory: 52541, decode.loss_ce: 0.1862, decode.acc_seg: 92.3057, loss: 0.1862 +2023-03-04 08:33:23,295 - mmseg - INFO - Iter [124050/160000] lr: 2.344e-06, eta: 2:07:54, time: 0.172, data_time: 0.007, memory: 52541, decode.loss_ce: 0.1849, decode.acc_seg: 92.4504, loss: 0.1849 +2023-03-04 08:33:32,012 - mmseg - INFO - Iter [124100/160000] lr: 2.344e-06, eta: 2:07:43, time: 0.174, data_time: 0.007, memory: 52541, decode.loss_ce: 0.1845, decode.acc_seg: 92.4501, loss: 0.1845 +2023-03-04 08:33:40,450 - mmseg - INFO - Iter [124150/160000] lr: 2.344e-06, eta: 2:07:31, time: 0.169, data_time: 0.007, memory: 52541, decode.loss_ce: 0.1957, decode.acc_seg: 92.0580, loss: 0.1957 +2023-03-04 08:33:48,689 - mmseg - INFO - Iter [124200/160000] lr: 2.344e-06, eta: 2:07:20, time: 0.165, data_time: 0.007, memory: 52541, decode.loss_ce: 0.1814, decode.acc_seg: 92.4979, loss: 0.1814 +2023-03-04 08:33:57,192 - mmseg - INFO - Iter [124250/160000] lr: 2.344e-06, eta: 2:07:09, time: 0.170, data_time: 0.007, memory: 52541, decode.loss_ce: 0.1852, decode.acc_seg: 92.4088, loss: 0.1852 +2023-03-04 08:34:05,530 - mmseg - INFO - Iter [124300/160000] lr: 2.344e-06, eta: 2:06:57, time: 0.167, data_time: 0.007, memory: 52541, decode.loss_ce: 0.1852, decode.acc_seg: 92.3882, loss: 0.1852 +2023-03-04 08:34:16,737 - mmseg - INFO - Iter [124350/160000] lr: 2.344e-06, eta: 2:06:47, time: 0.224, data_time: 0.058, memory: 52541, decode.loss_ce: 0.1870, decode.acc_seg: 92.3619, loss: 0.1870 +2023-03-04 08:34:25,318 - mmseg - INFO - Iter [124400/160000] lr: 2.344e-06, eta: 2:06:35, time: 0.172, data_time: 0.007, memory: 52541, decode.loss_ce: 0.1863, decode.acc_seg: 92.4434, loss: 0.1863 +2023-03-04 08:34:33,801 - mmseg - INFO - Iter [124450/160000] lr: 2.344e-06, eta: 2:06:24, time: 0.170, data_time: 0.007, memory: 52541, decode.loss_ce: 0.1928, decode.acc_seg: 92.1022, loss: 0.1928 +2023-03-04 08:34:42,374 - mmseg - INFO - Iter [124500/160000] lr: 2.344e-06, eta: 2:06:13, time: 0.171, data_time: 0.007, memory: 52541, decode.loss_ce: 0.1819, decode.acc_seg: 92.6386, loss: 0.1819 +2023-03-04 08:34:51,028 - mmseg - INFO - Iter [124550/160000] lr: 2.344e-06, eta: 2:06:02, time: 0.173, data_time: 0.007, memory: 52541, decode.loss_ce: 0.1954, decode.acc_seg: 91.9628, loss: 0.1954 +2023-03-04 08:34:59,418 - mmseg - INFO - Iter [124600/160000] lr: 2.344e-06, eta: 2:05:50, time: 0.168, data_time: 0.007, memory: 52541, decode.loss_ce: 0.1921, decode.acc_seg: 92.1371, loss: 0.1921 +2023-03-04 08:35:07,908 - mmseg - INFO - Iter [124650/160000] lr: 2.344e-06, eta: 2:05:39, time: 0.170, data_time: 0.007, memory: 52541, decode.loss_ce: 0.1846, decode.acc_seg: 92.4420, loss: 0.1846 +2023-03-04 08:35:16,194 - mmseg - INFO - Iter [124700/160000] lr: 2.344e-06, eta: 2:05:28, time: 0.166, data_time: 0.007, memory: 52541, decode.loss_ce: 0.1845, decode.acc_seg: 92.3568, loss: 0.1845 +2023-03-04 08:35:24,997 - mmseg - INFO - Iter [124750/160000] lr: 2.344e-06, eta: 2:05:16, time: 0.176, data_time: 0.007, memory: 52541, decode.loss_ce: 0.1871, decode.acc_seg: 92.4396, loss: 0.1871 +2023-03-04 08:35:33,373 - mmseg - INFO - Iter [124800/160000] lr: 2.344e-06, eta: 2:05:05, time: 0.168, data_time: 0.007, memory: 52541, decode.loss_ce: 0.1799, decode.acc_seg: 92.6407, loss: 0.1799 +2023-03-04 08:35:42,066 - mmseg - INFO - Iter [124850/160000] lr: 2.344e-06, eta: 2:04:54, time: 0.174, data_time: 0.007, memory: 52541, decode.loss_ce: 0.1839, decode.acc_seg: 92.3895, loss: 0.1839 +2023-03-04 08:35:50,553 - mmseg - INFO - Iter [124900/160000] lr: 2.344e-06, eta: 2:04:43, time: 0.170, data_time: 0.007, memory: 52541, decode.loss_ce: 0.1874, decode.acc_seg: 92.3709, loss: 0.1874 +2023-03-04 08:36:01,691 - mmseg - INFO - Iter [124950/160000] lr: 2.344e-06, eta: 2:04:32, time: 0.223, data_time: 0.057, memory: 52541, decode.loss_ce: 0.1848, decode.acc_seg: 92.3046, loss: 0.1848 +2023-03-04 08:36:10,559 - mmseg - INFO - Exp name: ablation_segformer_mit_b2_segformer_head_unet_fc_small_multi_step_ade_pretrained_freeze_embed_160k_ade20k151_finetune_ema_winit.py +2023-03-04 08:36:10,559 - mmseg - INFO - Iter [125000/160000] lr: 2.344e-06, eta: 2:04:21, time: 0.177, data_time: 0.007, memory: 52541, decode.loss_ce: 0.1857, decode.acc_seg: 92.2373, loss: 0.1857 +2023-03-04 08:36:19,155 - mmseg - INFO - Iter [125050/160000] lr: 2.344e-06, eta: 2:04:10, time: 0.172, data_time: 0.007, memory: 52541, decode.loss_ce: 0.1854, decode.acc_seg: 92.3887, loss: 0.1854 +2023-03-04 08:36:27,964 - mmseg - INFO - Iter [125100/160000] lr: 2.344e-06, eta: 2:03:59, time: 0.176, data_time: 0.008, memory: 52541, decode.loss_ce: 0.1764, decode.acc_seg: 92.6475, loss: 0.1764 +2023-03-04 08:36:36,578 - mmseg - INFO - Iter [125150/160000] lr: 2.344e-06, eta: 2:03:47, time: 0.172, data_time: 0.006, memory: 52541, decode.loss_ce: 0.1891, decode.acc_seg: 92.0977, loss: 0.1891 +2023-03-04 08:36:45,457 - mmseg - INFO - Iter [125200/160000] lr: 2.344e-06, eta: 2:03:36, time: 0.178, data_time: 0.006, memory: 52541, decode.loss_ce: 0.1746, decode.acc_seg: 92.8776, loss: 0.1746 +2023-03-04 08:36:54,425 - mmseg - INFO - Iter [125250/160000] lr: 2.344e-06, eta: 2:03:25, time: 0.179, data_time: 0.008, memory: 52541, decode.loss_ce: 0.1858, decode.acc_seg: 92.3279, loss: 0.1858 +2023-03-04 08:37:03,175 - mmseg - INFO - Iter [125300/160000] lr: 2.344e-06, eta: 2:03:14, time: 0.175, data_time: 0.007, memory: 52541, decode.loss_ce: 0.1878, decode.acc_seg: 92.3277, loss: 0.1878 +2023-03-04 08:37:11,739 - mmseg - INFO - Iter [125350/160000] lr: 2.344e-06, eta: 2:03:03, time: 0.171, data_time: 0.008, memory: 52541, decode.loss_ce: 0.1915, decode.acc_seg: 92.0796, loss: 0.1915 +2023-03-04 08:37:20,448 - mmseg - INFO - Iter [125400/160000] lr: 2.344e-06, eta: 2:02:51, time: 0.174, data_time: 0.007, memory: 52541, decode.loss_ce: 0.1823, decode.acc_seg: 92.3957, loss: 0.1823 +2023-03-04 08:37:29,009 - mmseg - INFO - Iter [125450/160000] lr: 2.344e-06, eta: 2:02:40, time: 0.171, data_time: 0.007, memory: 52541, decode.loss_ce: 0.1797, decode.acc_seg: 92.5006, loss: 0.1797 +2023-03-04 08:37:38,094 - mmseg - INFO - Iter [125500/160000] lr: 2.344e-06, eta: 2:02:29, time: 0.182, data_time: 0.007, memory: 52541, decode.loss_ce: 0.1848, decode.acc_seg: 92.4545, loss: 0.1848 +2023-03-04 08:37:46,576 - mmseg - INFO - Iter [125550/160000] lr: 2.344e-06, eta: 2:02:18, time: 0.170, data_time: 0.007, memory: 52541, decode.loss_ce: 0.1816, decode.acc_seg: 92.6071, loss: 0.1816 +2023-03-04 08:37:57,401 - mmseg - INFO - Iter [125600/160000] lr: 2.344e-06, eta: 2:02:07, time: 0.216, data_time: 0.056, memory: 52541, decode.loss_ce: 0.1886, decode.acc_seg: 92.1886, loss: 0.1886 +2023-03-04 08:38:06,242 - mmseg - INFO - Iter [125650/160000] lr: 2.344e-06, eta: 2:01:56, time: 0.177, data_time: 0.007, memory: 52541, decode.loss_ce: 0.1795, decode.acc_seg: 92.5765, loss: 0.1795 +2023-03-04 08:38:14,641 - mmseg - INFO - Iter [125700/160000] lr: 2.344e-06, eta: 2:01:45, time: 0.168, data_time: 0.007, memory: 52541, decode.loss_ce: 0.1905, decode.acc_seg: 92.0424, loss: 0.1905 +2023-03-04 08:38:23,077 - mmseg - INFO - Iter [125750/160000] lr: 2.344e-06, eta: 2:01:34, time: 0.169, data_time: 0.007, memory: 52541, decode.loss_ce: 0.1833, decode.acc_seg: 92.4562, loss: 0.1833 +2023-03-04 08:38:31,660 - mmseg - INFO - Iter [125800/160000] lr: 2.344e-06, eta: 2:01:22, time: 0.171, data_time: 0.007, memory: 52541, decode.loss_ce: 0.1794, decode.acc_seg: 92.6360, loss: 0.1794 +2023-03-04 08:38:40,118 - mmseg - INFO - Iter [125850/160000] lr: 2.344e-06, eta: 2:01:11, time: 0.169, data_time: 0.007, memory: 52541, decode.loss_ce: 0.1922, decode.acc_seg: 92.1598, loss: 0.1922 +2023-03-04 08:38:48,424 - mmseg - INFO - Iter [125900/160000] lr: 2.344e-06, eta: 2:01:00, time: 0.166, data_time: 0.007, memory: 52541, decode.loss_ce: 0.1870, decode.acc_seg: 92.3999, loss: 0.1870 +2023-03-04 08:38:56,862 - mmseg - INFO - Iter [125950/160000] lr: 2.344e-06, eta: 2:00:49, time: 0.169, data_time: 0.008, memory: 52541, decode.loss_ce: 0.1809, decode.acc_seg: 92.4705, loss: 0.1809 +2023-03-04 08:39:05,062 - mmseg - INFO - Exp name: ablation_segformer_mit_b2_segformer_head_unet_fc_small_multi_step_ade_pretrained_freeze_embed_160k_ade20k151_finetune_ema_winit.py +2023-03-04 08:39:05,062 - mmseg - INFO - Iter [126000/160000] lr: 2.344e-06, eta: 2:00:37, time: 0.164, data_time: 0.007, memory: 52541, decode.loss_ce: 0.1838, decode.acc_seg: 92.5326, loss: 0.1838 +2023-03-04 08:39:13,550 - mmseg - INFO - Iter [126050/160000] lr: 2.344e-06, eta: 2:00:26, time: 0.170, data_time: 0.007, memory: 52541, decode.loss_ce: 0.1816, decode.acc_seg: 92.3230, loss: 0.1816 +2023-03-04 08:39:22,128 - mmseg - INFO - Iter [126100/160000] lr: 2.344e-06, eta: 2:00:15, time: 0.172, data_time: 0.007, memory: 52541, decode.loss_ce: 0.1898, decode.acc_seg: 92.1538, loss: 0.1898 +2023-03-04 08:39:30,453 - mmseg - INFO - Iter [126150/160000] lr: 2.344e-06, eta: 2:00:04, time: 0.166, data_time: 0.007, memory: 52541, decode.loss_ce: 0.1897, decode.acc_seg: 92.1763, loss: 0.1897 +2023-03-04 08:39:39,063 - mmseg - INFO - Iter [126200/160000] lr: 2.344e-06, eta: 1:59:53, time: 0.172, data_time: 0.007, memory: 52541, decode.loss_ce: 0.1844, decode.acc_seg: 92.3217, loss: 0.1844 +2023-03-04 08:39:50,356 - mmseg - INFO - Iter [126250/160000] lr: 2.344e-06, eta: 1:59:42, time: 0.226, data_time: 0.055, memory: 52541, decode.loss_ce: 0.1846, decode.acc_seg: 92.4315, loss: 0.1846 +2023-03-04 08:39:58,921 - mmseg - INFO - Iter [126300/160000] lr: 2.344e-06, eta: 1:59:31, time: 0.171, data_time: 0.007, memory: 52541, decode.loss_ce: 0.1859, decode.acc_seg: 92.3857, loss: 0.1859 +2023-03-04 08:40:07,842 - mmseg - INFO - Iter [126350/160000] lr: 2.344e-06, eta: 1:59:20, time: 0.178, data_time: 0.007, memory: 52541, decode.loss_ce: 0.1873, decode.acc_seg: 92.3750, loss: 0.1873 +2023-03-04 08:40:16,540 - mmseg - INFO - Iter [126400/160000] lr: 2.344e-06, eta: 1:59:09, time: 0.174, data_time: 0.007, memory: 52541, decode.loss_ce: 0.1882, decode.acc_seg: 92.2481, loss: 0.1882 +2023-03-04 08:40:25,169 - mmseg - INFO - Iter [126450/160000] lr: 2.344e-06, eta: 1:58:57, time: 0.173, data_time: 0.007, memory: 52541, decode.loss_ce: 0.1862, decode.acc_seg: 92.2638, loss: 0.1862 +2023-03-04 08:40:33,570 - mmseg - INFO - Iter [126500/160000] lr: 2.344e-06, eta: 1:58:46, time: 0.168, data_time: 0.007, memory: 52541, decode.loss_ce: 0.1885, decode.acc_seg: 92.2529, loss: 0.1885 +2023-03-04 08:40:42,453 - mmseg - INFO - Iter [126550/160000] lr: 2.344e-06, eta: 1:58:35, time: 0.177, data_time: 0.008, memory: 52541, decode.loss_ce: 0.1921, decode.acc_seg: 92.2271, loss: 0.1921 +2023-03-04 08:40:51,048 - mmseg - INFO - Iter [126600/160000] lr: 2.344e-06, eta: 1:58:24, time: 0.172, data_time: 0.008, memory: 52541, decode.loss_ce: 0.1846, decode.acc_seg: 92.3675, loss: 0.1846 +2023-03-04 08:40:59,428 - mmseg - INFO - Iter [126650/160000] lr: 2.344e-06, eta: 1:58:13, time: 0.167, data_time: 0.007, memory: 52541, decode.loss_ce: 0.1828, decode.acc_seg: 92.5239, loss: 0.1828 +2023-03-04 08:41:07,923 - mmseg - INFO - Iter [126700/160000] lr: 2.344e-06, eta: 1:58:01, time: 0.170, data_time: 0.007, memory: 52541, decode.loss_ce: 0.1869, decode.acc_seg: 92.2984, loss: 0.1869 +2023-03-04 08:41:16,373 - mmseg - INFO - Iter [126750/160000] lr: 2.344e-06, eta: 1:57:50, time: 0.169, data_time: 0.007, memory: 52541, decode.loss_ce: 0.1798, decode.acc_seg: 92.6882, loss: 0.1798 +2023-03-04 08:41:24,717 - mmseg - INFO - Iter [126800/160000] lr: 2.344e-06, eta: 1:57:39, time: 0.167, data_time: 0.007, memory: 52541, decode.loss_ce: 0.1823, decode.acc_seg: 92.6620, loss: 0.1823 +2023-03-04 08:41:35,522 - mmseg - INFO - Iter [126850/160000] lr: 2.344e-06, eta: 1:57:28, time: 0.216, data_time: 0.056, memory: 52541, decode.loss_ce: 0.1887, decode.acc_seg: 92.1967, loss: 0.1887 +2023-03-04 08:41:44,052 - mmseg - INFO - Iter [126900/160000] lr: 2.344e-06, eta: 1:57:17, time: 0.171, data_time: 0.007, memory: 52541, decode.loss_ce: 0.1854, decode.acc_seg: 92.4144, loss: 0.1854 +2023-03-04 08:41:52,358 - mmseg - INFO - Iter [126950/160000] lr: 2.344e-06, eta: 1:57:06, time: 0.166, data_time: 0.007, memory: 52541, decode.loss_ce: 0.1793, decode.acc_seg: 92.6449, loss: 0.1793 +2023-03-04 08:42:00,861 - mmseg - INFO - Exp name: ablation_segformer_mit_b2_segformer_head_unet_fc_small_multi_step_ade_pretrained_freeze_embed_160k_ade20k151_finetune_ema_winit.py +2023-03-04 08:42:00,861 - mmseg - INFO - Iter [127000/160000] lr: 2.344e-06, eta: 1:56:55, time: 0.170, data_time: 0.007, memory: 52541, decode.loss_ce: 0.1798, decode.acc_seg: 92.4413, loss: 0.1798 +2023-03-04 08:42:09,302 - mmseg - INFO - Iter [127050/160000] lr: 2.344e-06, eta: 1:56:44, time: 0.169, data_time: 0.007, memory: 52541, decode.loss_ce: 0.1849, decode.acc_seg: 92.3934, loss: 0.1849 +2023-03-04 08:42:17,762 - mmseg - INFO - Iter [127100/160000] lr: 2.344e-06, eta: 1:56:32, time: 0.169, data_time: 0.007, memory: 52541, decode.loss_ce: 0.1855, decode.acc_seg: 92.2965, loss: 0.1855 +2023-03-04 08:42:26,586 - mmseg - INFO - Iter [127150/160000] lr: 2.344e-06, eta: 1:56:21, time: 0.176, data_time: 0.007, memory: 52541, decode.loss_ce: 0.1857, decode.acc_seg: 92.2773, loss: 0.1857 +2023-03-04 08:42:35,057 - mmseg - INFO - Iter [127200/160000] lr: 2.344e-06, eta: 1:56:10, time: 0.169, data_time: 0.007, memory: 52541, decode.loss_ce: 0.1834, decode.acc_seg: 92.4179, loss: 0.1834 +2023-03-04 08:42:43,483 - mmseg - INFO - Iter [127250/160000] lr: 2.344e-06, eta: 1:55:59, time: 0.169, data_time: 0.007, memory: 52541, decode.loss_ce: 0.1824, decode.acc_seg: 92.4653, loss: 0.1824 +2023-03-04 08:42:51,955 - mmseg - INFO - Iter [127300/160000] lr: 2.344e-06, eta: 1:55:48, time: 0.169, data_time: 0.007, memory: 52541, decode.loss_ce: 0.1834, decode.acc_seg: 92.2295, loss: 0.1834 +2023-03-04 08:43:00,761 - mmseg - INFO - Iter [127350/160000] lr: 2.344e-06, eta: 1:55:37, time: 0.176, data_time: 0.008, memory: 52541, decode.loss_ce: 0.1805, decode.acc_seg: 92.6948, loss: 0.1805 +2023-03-04 08:43:09,634 - mmseg - INFO - Iter [127400/160000] lr: 2.344e-06, eta: 1:55:26, time: 0.177, data_time: 0.007, memory: 52541, decode.loss_ce: 0.1837, decode.acc_seg: 92.3859, loss: 0.1837 +2023-03-04 08:43:18,026 - mmseg - INFO - Iter [127450/160000] lr: 2.344e-06, eta: 1:55:14, time: 0.168, data_time: 0.007, memory: 52541, decode.loss_ce: 0.1831, decode.acc_seg: 92.4732, loss: 0.1831 +2023-03-04 08:43:29,062 - mmseg - INFO - Iter [127500/160000] lr: 2.344e-06, eta: 1:55:04, time: 0.221, data_time: 0.055, memory: 52541, decode.loss_ce: 0.1837, decode.acc_seg: 92.4472, loss: 0.1837 +2023-03-04 08:43:37,413 - mmseg - INFO - Iter [127550/160000] lr: 2.344e-06, eta: 1:54:53, time: 0.167, data_time: 0.007, memory: 52541, decode.loss_ce: 0.1841, decode.acc_seg: 92.4369, loss: 0.1841 +2023-03-04 08:43:46,270 - mmseg - INFO - Iter [127600/160000] lr: 2.344e-06, eta: 1:54:42, time: 0.177, data_time: 0.007, memory: 52541, decode.loss_ce: 0.1774, decode.acc_seg: 92.6408, loss: 0.1774 +2023-03-04 08:43:55,254 - mmseg - INFO - Iter [127650/160000] lr: 2.344e-06, eta: 1:54:31, time: 0.180, data_time: 0.007, memory: 52541, decode.loss_ce: 0.1808, decode.acc_seg: 92.5396, loss: 0.1808 +2023-03-04 08:44:03,607 - mmseg - INFO - Iter [127700/160000] lr: 2.344e-06, eta: 1:54:19, time: 0.167, data_time: 0.007, memory: 52541, decode.loss_ce: 0.1867, decode.acc_seg: 92.2387, loss: 0.1867 +2023-03-04 08:44:12,140 - mmseg - INFO - Iter [127750/160000] lr: 2.344e-06, eta: 1:54:08, time: 0.171, data_time: 0.007, memory: 52541, decode.loss_ce: 0.1848, decode.acc_seg: 92.2764, loss: 0.1848 +2023-03-04 08:44:20,587 - mmseg - INFO - Iter [127800/160000] lr: 2.344e-06, eta: 1:53:57, time: 0.169, data_time: 0.007, memory: 52541, decode.loss_ce: 0.1853, decode.acc_seg: 92.5347, loss: 0.1853 +2023-03-04 08:44:29,076 - mmseg - INFO - Iter [127850/160000] lr: 2.344e-06, eta: 1:53:46, time: 0.170, data_time: 0.007, memory: 52541, decode.loss_ce: 0.1830, decode.acc_seg: 92.4893, loss: 0.1830 +2023-03-04 08:44:38,009 - mmseg - INFO - Iter [127900/160000] lr: 2.344e-06, eta: 1:53:35, time: 0.179, data_time: 0.007, memory: 52541, decode.loss_ce: 0.1883, decode.acc_seg: 92.3464, loss: 0.1883 +2023-03-04 08:44:46,675 - mmseg - INFO - Iter [127950/160000] lr: 2.344e-06, eta: 1:53:24, time: 0.173, data_time: 0.008, memory: 52541, decode.loss_ce: 0.1839, decode.acc_seg: 92.5400, loss: 0.1839 +2023-03-04 08:44:55,178 - mmseg - INFO - Swap parameters (after train) after iter [128000] +2023-03-04 08:44:55,192 - mmseg - INFO - Saving checkpoint at 128000 iterations +2023-03-04 08:44:56,257 - mmseg - INFO - Exp name: ablation_segformer_mit_b2_segformer_head_unet_fc_small_multi_step_ade_pretrained_freeze_embed_160k_ade20k151_finetune_ema_winit.py +2023-03-04 08:44:56,257 - mmseg - INFO - Iter [128000/160000] lr: 2.344e-06, eta: 1:53:13, time: 0.192, data_time: 0.007, memory: 52541, decode.loss_ce: 0.1841, decode.acc_seg: 92.4698, loss: 0.1841 +2023-03-04 08:55:47,832 - mmseg - INFO - per class results: +2023-03-04 08:55:47,840 - mmseg - INFO - ++---------------------+-------------------------------------------------------------------+ +| Class | IoU 0,10,20,30,40,50,60,70,80,90,99 | ++---------------------+-------------------------------------------------------------------+ +| background | nan,nan,nan,nan,nan,nan,nan,nan,nan,nan,nan | +| wall | 77.48,77.48,77.49,77.49,77.49,77.5,77.5,77.5,77.51,77.51,77.51 | +| building | 81.64,81.65,81.65,81.65,81.65,81.64,81.65,81.65,81.65,81.65,81.65 | +| sky | 94.41,94.41,94.41,94.41,94.41,94.41,94.41,94.41,94.41,94.41,94.41 | +| floor | 81.74,81.74,81.73,81.73,81.73,81.72,81.73,81.73,81.72,81.73,81.71 | +| tree | 74.24,74.23,74.23,74.24,74.24,74.23,74.23,74.23,74.23,74.23,74.24 | +| ceiling | 85.11,85.12,85.12,85.13,85.14,85.15,85.16,85.16,85.17,85.17,85.17 | +| road | 82.09,82.09,82.09,82.08,82.09,82.08,82.08,82.08,82.08,82.08,82.08 | +| bed | 87.93,87.95,87.95,87.94,87.92,87.91,87.92,87.92,87.93,87.91,87.91 | +| windowpane | 60.73,60.72,60.71,60.71,60.69,60.69,60.67,60.67,60.66,60.64,60.63 | +| grass | 67.32,67.32,67.29,67.3,67.33,67.31,67.31,67.3,67.31,67.3,67.31 | +| cabinet | 61.73,61.74,61.7,61.69,61.63,61.65,61.6,61.59,61.61,61.5,61.56 | +| sidewalk | 64.95,64.98,64.99,64.98,65.0,64.98,65.0,65.01,65.01,65.01,65.02 | +| person | 79.72,79.71,79.73,79.72,79.73,79.73,79.73,79.74,79.75,79.73,79.77 | +| earth | 36.0,36.0,35.98,36.02,36.03,36.07,36.06,36.08,36.08,36.09,36.11 | +| door | 45.72,45.69,45.73,45.72,45.7,45.69,45.7,45.68,45.69,45.68,45.68 | +| table | 60.98,60.98,61.0,60.98,60.98,60.97,60.96,60.96,60.95,60.95,60.94 | +| mountain | 57.44,57.47,57.52,57.52,57.54,57.56,57.59,57.59,57.64,57.65,57.67 | +| plant | 49.88,49.9,49.88,49.91,49.92,49.9,49.91,49.92,49.91,49.9,49.9 | +| curtain | 74.97,74.96,74.99,74.95,74.95,74.95,74.93,74.94,74.93,74.9,74.92 | +| chair | 56.58,56.59,56.57,56.57,56.6,56.59,56.58,56.6,56.58,56.59,56.58 | +| car | 81.93,81.94,81.95,81.97,81.96,81.97,81.98,81.98,81.99,81.97,81.99 | +| water | 56.88,56.88,56.9,56.89,56.9,56.91,56.91,56.92,56.93,56.92,56.93 | +| painting | 70.58,70.59,70.6,70.63,70.68,70.7,70.72,70.76,70.79,70.83,70.85 | +| sofa | 64.16,64.17,64.2,64.19,64.2,64.2,64.2,64.21,64.2,64.22,64.22 | +| shelf | 43.89,43.84,43.81,43.85,43.8,43.82,43.78,43.77,43.82,43.76,43.8 | +| house | 43.12,43.1,43.09,43.05,43.0,42.99,42.95,42.92,42.89,42.85,42.82 | +| sea | 60.1,60.15,60.17,60.17,60.17,60.2,60.23,60.24,60.25,60.26,60.27 | +| mirror | 66.72,66.72,66.75,66.74,66.78,66.74,66.74,66.74,66.76,66.75,66.76 | +| rug | 64.88,64.89,64.83,64.84,64.77,64.75,64.76,64.75,64.7,64.69,64.65 | +| field | 30.78,30.8,30.82,30.82,30.83,30.83,30.86,30.87,30.88,30.91,30.9 | +| armchair | 38.15,38.11,38.11,38.1,38.07,38.1,38.09,38.08,38.07,38.06,38.06 | +| seat | 66.62,66.52,66.51,66.5,66.48,66.51,66.46,66.45,66.44,66.42,66.43 | +| fence | 40.81,40.84,40.9,40.87,40.9,40.84,40.86,40.88,40.86,40.89,40.86 | +| desk | 46.57,46.59,46.57,46.54,46.54,46.53,46.45,46.51,46.49,46.44,46.47 | +| rock | 36.93,36.94,36.91,36.91,36.9,36.92,36.91,36.93,36.9,36.92,36.92 | +| wardrobe | 57.61,57.61,57.59,57.58,57.51,57.59,57.52,57.49,57.49,57.4,57.46 | +| lamp | 61.98,61.98,61.99,61.98,62.0,62.02,62.0,62.02,62.02,62.03,62.03 | +| bathtub | 77.93,77.92,77.95,77.94,77.99,77.9,77.92,77.91,77.9,77.93,77.87 | +| railing | 33.99,33.98,33.98,33.94,33.97,33.92,33.93,33.9,33.92,33.92,33.91 | +| cushion | 56.31,56.31,56.31,56.21,56.19,56.12,56.13,56.11,56.07,56.05,56.02 | +| base | 22.51,22.45,22.48,22.46,22.48,22.44,22.44,22.45,22.46,22.45,22.44 | +| box | 23.31,23.33,23.3,23.33,23.34,23.32,23.33,23.33,23.33,23.33,23.32 | +| column | 46.27,46.36,46.31,46.35,46.37,46.37,46.39,46.4,46.42,46.43,46.44 | +| signboard | 37.95,37.94,37.96,37.96,37.99,37.98,37.98,37.97,38.02,38.02,38.02 | +| chest of drawers | 36.51,36.57,36.53,36.5,36.47,36.44,36.48,36.42,36.43,36.4,36.38 | +| counter | 30.82,30.81,30.82,30.83,30.86,30.86,30.88,30.93,30.9,30.91,30.9 | +| sand | 44.11,44.09,44.16,44.14,44.22,44.28,44.29,44.38,44.4,44.4,44.49 | +| sink | 67.92,67.91,67.88,67.93,67.93,67.9,67.91,67.93,67.92,67.94,67.94 | +| skyscraper | 51.15,51.07,50.99,50.9,50.85,50.73,50.74,50.59,50.57,50.62,50.61 | +| fireplace | 74.93,74.93,74.92,74.81,74.83,74.86,74.82,74.77,74.75,74.71,74.67 | +| refrigerator | 74.69,74.63,74.65,74.7,74.62,74.69,74.68,74.68,74.67,74.66,74.67 | +| grandstand | 53.23,53.14,53.15,53.05,53.05,52.99,52.97,52.92,52.9,52.83,52.88 | +| path | 22.13,22.14,22.15,22.15,22.16,22.14,22.13,22.14,22.15,22.13,22.15 | +| stairs | 31.46,31.43,31.4,31.38,31.37,31.35,31.33,31.29,31.25,31.26,31.24 | +| runway | 67.62,67.61,67.61,67.58,67.57,67.55,67.52,67.49,67.5,67.47,67.45 | +| case | 48.23,48.23,48.18,48.15,48.15,48.1,48.06,48.01,48.0,48.02,47.96 | +| pool table | 92.0,91.99,92.01,91.97,91.97,91.95,91.93,91.94,91.93,91.91,91.9 | +| pillow | 59.97,60.14,60.22,60.14,60.15,60.15,60.23,60.22,60.27,60.28,60.35 | +| screen door | 70.65,70.79,70.85,70.84,70.8,70.76,70.82,70.79,70.8,70.78,70.72 | +| stairway | 23.48,23.46,23.4,23.39,23.39,23.41,23.41,23.4,23.41,23.41,23.36 | +| river | 11.9,11.9,11.9,11.9,11.89,11.9,11.9,11.9,11.9,11.9,11.9 | +| bridge | 32.43,32.41,32.36,32.33,32.31,32.19,32.19,32.11,32.06,32.07,32.06 | +| bookcase | 45.14,45.05,45.1,45.1,45.08,45.18,45.15,45.08,45.16,45.11,45.2 | +| blind | 39.88,39.94,39.92,39.76,39.85,39.69,39.68,39.66,39.64,39.65,39.6 | +| coffee table | 53.53,53.49,53.4,53.38,53.28,53.25,53.24,53.16,53.12,53.04,53.09 | +| toilet | 83.97,83.96,84.02,84.04,84.03,84.05,84.05,84.09,84.12,84.12,84.17 | +| flower | 38.44,38.47,38.46,38.46,38.5,38.54,38.51,38.56,38.55,38.59,38.55 | +| book | 44.94,44.95,44.94,44.92,44.98,45.0,44.95,45.0,45.0,44.98,45.03 | +| hill | 15.33,15.41,15.42,15.49,15.5,15.51,15.56,15.59,15.61,15.63,15.64 | +| bench | 43.06,43.12,43.13,43.08,43.07,43.07,43.09,43.05,43.01,43.02,42.98 | +| countertop | 55.93,55.87,55.99,55.98,55.96,56.01,56.0,56.02,56.02,56.0,55.99 | +| stove | 72.84,72.83,72.84,72.81,72.81,72.83,72.8,72.82,72.81,72.81,72.81 | +| palm | 48.44,48.46,48.47,48.47,48.5,48.49,48.51,48.5,48.53,48.53,48.51 | +| kitchen island | 44.87,44.64,44.56,44.61,44.45,44.5,44.31,44.35,44.35,44.11,44.29 | +| computer | 60.61,60.61,60.62,60.61,60.6,60.61,60.62,60.62,60.63,60.61,60.63 | +| swivel chair | 42.93,42.8,42.89,42.78,42.79,42.76,42.74,42.68,42.73,42.68,42.67 | +| boat | 72.41,72.36,72.46,72.46,72.56,72.61,72.57,72.61,72.65,72.71,72.73 | +| bar | 23.93,23.91,23.92,23.93,23.9,23.91,23.88,23.9,23.89,23.89,23.89 | +| arcade machine | 70.5,70.64,70.75,70.74,70.84,70.84,70.9,71.0,71.16,71.07,71.35 | +| hovel | 34.01,33.82,33.91,33.82,33.76,33.8,33.57,33.56,33.54,33.49,33.43 | +| bus | 79.95,79.91,79.93,79.89,79.87,79.86,79.85,79.82,79.77,79.78,79.73 | +| towel | 63.03,63.11,63.15,63.15,63.14,63.16,63.17,63.18,63.23,63.22,63.24 | +| light | 55.21,55.13,55.03,55.01,55.0,54.88,54.84,54.81,54.76,54.67,54.56 | +| truck | 19.08,19.11,19.01,19.11,19.07,19.03,18.97,19.06,19.04,19.01,19.04 | +| tower | 7.42,7.51,7.51,7.41,7.45,7.36,7.36,7.34,7.27,7.34,7.35 | +| chandelier | 64.29,64.29,64.3,64.25,64.32,64.34,64.34,64.36,64.36,64.35,64.36 | +| awning | 24.25,24.21,24.22,24.31,24.2,24.22,24.13,24.17,24.2,24.12,24.16 | +| streetlight | 27.39,27.34,27.37,27.42,27.44,27.49,27.41,27.46,27.51,27.53,27.54 | +| booth | 46.46,46.49,46.38,46.56,46.7,46.41,46.56,46.52,46.6,46.67,46.52 | +| television receiver | 63.89,63.92,63.92,63.9,63.89,63.94,63.91,63.92,63.92,63.95,63.95 | +| airplane | 60.8,60.87,60.82,60.79,60.86,60.86,60.88,60.87,60.87,60.9,60.85 | +| dirt track | 20.39,20.41,20.51,20.58,20.52,20.71,20.75,20.63,20.7,20.68,20.83 | +| apparel | 34.34,34.29,34.28,34.17,34.16,34.24,34.16,34.17,34.12,34.12,34.05 | +| pole | 19.66,19.64,19.62,19.62,19.57,19.58,19.55,19.53,19.5,19.5,19.47 | +| land | 3.6,3.59,3.6,3.62,3.61,3.61,3.64,3.65,3.65,3.64,3.67 | +| bannister | 12.43,12.44,12.46,12.48,12.53,12.47,12.52,12.47,12.46,12.53,12.49 | +| escalator | 24.9,24.88,24.87,24.86,24.84,24.83,24.88,24.88,24.85,24.84,24.8 | +| ottoman | 41.84,41.84,41.9,41.74,41.68,41.8,41.81,41.84,41.77,41.71,41.7 | +| bottle | 34.05,34.18,34.11,34.17,34.12,34.15,34.14,34.14,34.19,34.19,34.19 | +| buffet | 42.36,42.33,42.31,42.25,42.32,42.18,42.15,42.09,41.95,42.04,41.82 | +| poster | 22.63,22.65,22.67,22.7,22.68,22.75,22.72,22.72,22.79,22.76,22.81 | +| stage | 15.62,15.59,15.6,15.59,15.59,15.59,15.59,15.55,15.54,15.56,15.53 | +| van | 37.7,37.77,37.73,37.75,37.74,37.74,37.74,37.72,37.72,37.7,37.69 | +| ship | 82.55,82.54,82.59,82.58,82.61,82.63,82.61,82.61,82.59,82.64,82.66 | +| fountain | 18.81,18.73,18.77,18.74,18.85,18.89,18.94,18.94,18.95,18.91,19.01 | +| conveyer belt | 84.61,84.55,84.61,84.58,84.68,84.69,84.69,84.76,84.76,84.79,84.86 | +| canopy | 25.97,26.07,26.11,25.97,26.08,25.94,25.97,25.99,26.0,25.96,25.91 | +| washer | 75.45,75.55,75.69,75.62,75.66,75.67,75.63,75.72,75.78,75.83,75.83 | +| plaything | 19.75,19.76,19.82,19.81,19.87,19.88,19.91,19.87,19.91,19.82,20.05 | +| swimming pool | 72.34,72.46,72.44,72.45,72.41,72.38,72.38,72.35,72.36,72.46,72.27 | +| stool | 43.54,43.57,43.55,43.57,43.54,43.52,43.57,43.49,43.51,43.48,43.46 | +| barrel | 41.82,41.71,41.7,41.86,42.02,42.01,41.74,41.64,41.64,41.82,41.54 | +| basket | 24.88,24.89,24.88,24.88,24.87,24.9,24.9,24.89,24.91,24.91,24.9 | +| waterfall | 47.62,47.54,47.6,47.51,47.58,47.58,47.52,47.48,47.48,47.46,47.52 | +| tent | 94.69,94.74,94.72,94.75,94.74,94.71,94.75,94.77,94.76,94.76,94.75 | +| bag | 15.55,15.6,15.67,15.65,15.75,15.67,15.8,15.8,15.88,15.93,15.9 | +| minibike | 62.38,62.41,62.37,62.41,62.41,62.41,62.39,62.39,62.36,62.37,62.34 | +| cradle | 84.4,84.37,84.42,84.39,84.4,84.4,84.36,84.36,84.37,84.41,84.39 | +| oven | 47.86,47.87,47.86,47.91,47.9,48.01,47.89,47.97,47.96,47.92,47.94 | +| ball | 45.74,45.7,45.75,45.85,45.81,45.81,45.92,45.9,45.92,46.02,45.9 | +| food | 54.16,54.2,54.27,54.22,54.38,54.44,54.48,54.53,54.51,54.64,54.68 | +| step | 6.87,6.84,6.76,6.75,6.65,6.59,6.54,6.49,6.39,6.36,6.31 | +| tank | 52.38,52.26,52.37,52.29,52.36,52.4,52.27,52.38,52.46,52.3,52.3 | +| trade name | 27.4,27.42,27.37,27.38,27.26,27.27,27.23,27.17,27.25,27.07,27.2 | +| microwave | 71.22,71.16,71.18,71.26,71.26,71.34,71.24,71.31,71.32,71.35,71.33 | +| pot | 29.84,29.92,29.88,29.93,30.0,29.88,29.92,29.95,29.96,29.93,29.92 | +| animal | 54.52,54.48,54.5,54.5,54.49,54.51,54.45,54.46,54.45,54.45,54.43 | +| bicycle | 54.52,54.56,54.54,54.53,54.47,54.49,54.48,54.51,54.55,54.49,54.48 | +| lake | 57.61,57.64,57.65,57.66,57.67,57.67,57.69,57.7,57.71,57.71,57.68 | +| dishwasher | 66.38,66.47,66.38,66.52,66.51,66.6,66.65,66.67,66.63,66.64,66.72 | +| screen | 68.68,68.66,68.52,68.61,68.49,68.75,68.74,68.6,68.6,68.62,68.69 | +| blanket | 17.75,17.73,17.85,17.82,17.84,17.92,17.89,17.92,17.97,17.97,18.03 | +| sculpture | 59.34,59.3,59.34,59.3,59.11,59.25,59.15,59.15,59.1,58.92,59.19 | +| hood | 57.73,57.88,57.8,57.97,57.89,57.93,58.05,58.09,58.07,58.04,58.07 | +| sconce | 44.29,44.31,44.27,44.4,44.33,44.26,44.35,44.33,44.37,44.37,44.35 | +| vase | 37.33,37.38,37.35,37.3,37.32,37.24,37.29,37.24,37.27,37.24,37.22 | +| traffic light | 32.67,32.71,32.69,32.7,32.75,32.74,32.72,32.78,32.76,32.77,32.78 | +| tray | 7.98,8.07,8.21,8.09,8.23,8.34,8.29,8.43,8.53,8.53,8.6 | +| ashcan | 39.93,39.94,40.15,40.01,40.04,40.12,40.07,40.07,40.1,40.03,40.16 | +| fan | 57.97,58.02,58.07,58.01,58.01,58.06,58.03,58.1,58.09,58.06,58.14 | +| pier | 51.44,51.63,51.62,51.78,51.83,51.97,52.09,52.09,52.27,52.22,52.21 | +| crt screen | 10.63,10.65,10.72,10.77,10.74,10.76,10.78,10.83,10.82,10.83,10.84 | +| plate | 53.07,52.98,53.0,52.99,52.98,52.95,52.98,52.9,52.91,52.89,52.91 | +| monitor | 18.87,18.87,18.77,18.91,18.99,19.0,19.07,19.12,19.05,19.19,19.14 | +| bulletin board | 38.44,38.46,38.55,38.62,38.63,38.66,38.67,38.72,38.77,38.8,38.77 | +| shower | 2.15,2.17,2.15,2.18,2.16,2.16,2.14,2.15,2.17,2.15,2.14 | +| radiator | 58.81,58.76,58.88,58.72,58.81,58.74,58.76,58.91,58.89,58.9,58.99 | +| glass | 13.11,13.14,13.11,13.08,13.11,13.1,13.06,13.12,13.07,13.08,13.08 | +| clock | 36.17,36.16,36.21,36.26,36.23,36.18,36.29,36.07,36.16,36.19,36.11 | +| flag | 33.06,33.04,33.02,33.0,32.97,32.93,32.92,32.88,32.89,32.77,32.77 | ++---------------------+-------------------------------------------------------------------+ +2023-03-04 08:55:47,841 - mmseg - INFO - Summary: +2023-03-04 08:55:47,841 - mmseg - INFO - ++---------------------------------------------------------------+ +| mIoU 0,10,20,30,40,50,60,70,80,90,99 | ++---------------------------------------------------------------+ +| 48.79,48.79,48.8,48.79,48.8,48.8,48.79,48.79,48.8,48.79,48.79 | ++---------------------------------------------------------------+ +2023-03-04 08:55:47,874 - mmseg - INFO - The previous best checkpoint /mnt/petrelfs/laizeqiang/mmseg-baseline/work_dirs2/ablation_segformer_mit_b2_segformer_head_unet_fc_small_multi_step_ade_pretrained_freeze_embed_160k_ade20k151_finetune_ema_winit/best_mIoU_iter_112000.pth was removed +2023-03-04 08:55:48,801 - mmseg - INFO - Now best checkpoint is saved as best_mIoU_iter_128000.pth. +2023-03-04 08:55:48,802 - mmseg - INFO - Best mIoU is 0.4879 at 128000 iter. +2023-03-04 08:55:48,802 - mmseg - INFO - Exp name: ablation_segformer_mit_b2_segformer_head_unet_fc_small_multi_step_ade_pretrained_freeze_embed_160k_ade20k151_finetune_ema_winit.py +2023-03-04 08:55:48,802 - mmseg - INFO - Iter(val) [250] mIoU: [0.4879, 0.4879, 0.488, 0.4879, 0.488, 0.488, 0.4879, 0.4879, 0.488, 0.4879, 0.4879], copy_paste: 48.79,48.79,48.8,48.79,48.8,48.8,48.79,48.79,48.8,48.79,48.79 +2023-03-04 08:55:48,808 - mmseg - INFO - Swap parameters (before train) before iter [128001] +2023-03-04 08:55:57,819 - mmseg - INFO - Iter [128050/160000] lr: 2.344e-06, eta: 1:55:45, time: 13.231, data_time: 13.059, memory: 52541, decode.loss_ce: 0.1870, decode.acc_seg: 92.3183, loss: 0.1870 +2023-03-04 08:56:08,672 - mmseg - INFO - Iter [128100/160000] lr: 2.344e-06, eta: 1:55:34, time: 0.217, data_time: 0.055, memory: 52541, decode.loss_ce: 0.1837, decode.acc_seg: 92.3423, loss: 0.1837 +2023-03-04 08:56:17,178 - mmseg - INFO - Iter [128150/160000] lr: 2.344e-06, eta: 1:55:22, time: 0.170, data_time: 0.007, memory: 52541, decode.loss_ce: 0.1860, decode.acc_seg: 92.3941, loss: 0.1860 +2023-03-04 08:56:25,455 - mmseg - INFO - Iter [128200/160000] lr: 2.344e-06, eta: 1:55:11, time: 0.166, data_time: 0.007, memory: 52541, decode.loss_ce: 0.1846, decode.acc_seg: 92.4797, loss: 0.1846 +2023-03-04 08:56:33,915 - mmseg - INFO - Iter [128250/160000] lr: 2.344e-06, eta: 1:54:59, time: 0.169, data_time: 0.007, memory: 52541, decode.loss_ce: 0.1824, decode.acc_seg: 92.4522, loss: 0.1824 +2023-03-04 08:56:42,555 - mmseg - INFO - Iter [128300/160000] lr: 2.344e-06, eta: 1:54:48, time: 0.173, data_time: 0.007, memory: 52541, decode.loss_ce: 0.1795, decode.acc_seg: 92.5244, loss: 0.1795 +2023-03-04 08:56:51,146 - mmseg - INFO - Iter [128350/160000] lr: 2.344e-06, eta: 1:54:37, time: 0.172, data_time: 0.007, memory: 52541, decode.loss_ce: 0.1838, decode.acc_seg: 92.4973, loss: 0.1838 +2023-03-04 08:56:59,779 - mmseg - INFO - Iter [128400/160000] lr: 2.344e-06, eta: 1:54:25, time: 0.173, data_time: 0.007, memory: 52541, decode.loss_ce: 0.1789, decode.acc_seg: 92.6101, loss: 0.1789 +2023-03-04 08:57:08,535 - mmseg - INFO - Iter [128450/160000] lr: 2.344e-06, eta: 1:54:14, time: 0.175, data_time: 0.008, memory: 52541, decode.loss_ce: 0.1814, decode.acc_seg: 92.4804, loss: 0.1814 +2023-03-04 08:57:17,004 - mmseg - INFO - Iter [128500/160000] lr: 2.344e-06, eta: 1:54:02, time: 0.169, data_time: 0.007, memory: 52541, decode.loss_ce: 0.1856, decode.acc_seg: 92.2327, loss: 0.1856 +2023-03-04 08:57:25,728 - mmseg - INFO - Iter [128550/160000] lr: 2.344e-06, eta: 1:53:51, time: 0.175, data_time: 0.008, memory: 52541, decode.loss_ce: 0.1816, decode.acc_seg: 92.4242, loss: 0.1816 +2023-03-04 08:57:34,359 - mmseg - INFO - Iter [128600/160000] lr: 2.344e-06, eta: 1:53:40, time: 0.173, data_time: 0.007, memory: 52541, decode.loss_ce: 0.1733, decode.acc_seg: 92.7066, loss: 0.1733 +2023-03-04 08:57:42,739 - mmseg - INFO - Iter [128650/160000] lr: 2.344e-06, eta: 1:53:28, time: 0.168, data_time: 0.007, memory: 52541, decode.loss_ce: 0.1810, decode.acc_seg: 92.5454, loss: 0.1810 +2023-03-04 08:57:51,127 - mmseg - INFO - Iter [128700/160000] lr: 2.344e-06, eta: 1:53:17, time: 0.168, data_time: 0.007, memory: 52541, decode.loss_ce: 0.1859, decode.acc_seg: 92.4836, loss: 0.1859 +2023-03-04 08:58:01,887 - mmseg - INFO - Iter [128750/160000] lr: 2.344e-06, eta: 1:53:06, time: 0.215, data_time: 0.053, memory: 52541, decode.loss_ce: 0.1911, decode.acc_seg: 92.1959, loss: 0.1911 +2023-03-04 08:58:10,541 - mmseg - INFO - Iter [128800/160000] lr: 2.344e-06, eta: 1:52:54, time: 0.173, data_time: 0.007, memory: 52541, decode.loss_ce: 0.1884, decode.acc_seg: 92.3303, loss: 0.1884 +2023-03-04 08:58:19,188 - mmseg - INFO - Iter [128850/160000] lr: 2.344e-06, eta: 1:52:43, time: 0.173, data_time: 0.007, memory: 52541, decode.loss_ce: 0.1830, decode.acc_seg: 92.3955, loss: 0.1830 +2023-03-04 08:58:27,599 - mmseg - INFO - Iter [128900/160000] lr: 2.344e-06, eta: 1:52:32, time: 0.168, data_time: 0.007, memory: 52541, decode.loss_ce: 0.1916, decode.acc_seg: 92.0251, loss: 0.1916 +2023-03-04 08:58:36,141 - mmseg - INFO - Iter [128950/160000] lr: 2.344e-06, eta: 1:52:20, time: 0.171, data_time: 0.007, memory: 52541, decode.loss_ce: 0.1798, decode.acc_seg: 92.5310, loss: 0.1798 +2023-03-04 08:58:44,825 - mmseg - INFO - Exp name: ablation_segformer_mit_b2_segformer_head_unet_fc_small_multi_step_ade_pretrained_freeze_embed_160k_ade20k151_finetune_ema_winit.py +2023-03-04 08:58:44,825 - mmseg - INFO - Iter [129000/160000] lr: 2.344e-06, eta: 1:52:09, time: 0.174, data_time: 0.007, memory: 52541, decode.loss_ce: 0.1833, decode.acc_seg: 92.3545, loss: 0.1833 +2023-03-04 08:58:53,199 - mmseg - INFO - Iter [129050/160000] lr: 2.344e-06, eta: 1:51:57, time: 0.167, data_time: 0.007, memory: 52541, decode.loss_ce: 0.1905, decode.acc_seg: 92.2216, loss: 0.1905 +2023-03-04 08:59:01,579 - mmseg - INFO - Iter [129100/160000] lr: 2.344e-06, eta: 1:51:46, time: 0.168, data_time: 0.007, memory: 52541, decode.loss_ce: 0.1852, decode.acc_seg: 92.2989, loss: 0.1852 +2023-03-04 08:59:10,224 - mmseg - INFO - Iter [129150/160000] lr: 2.344e-06, eta: 1:51:35, time: 0.173, data_time: 0.007, memory: 52541, decode.loss_ce: 0.1885, decode.acc_seg: 92.3153, loss: 0.1885 +2023-03-04 08:59:18,781 - mmseg - INFO - Iter [129200/160000] lr: 2.344e-06, eta: 1:51:23, time: 0.171, data_time: 0.007, memory: 52541, decode.loss_ce: 0.1827, decode.acc_seg: 92.4936, loss: 0.1827 +2023-03-04 08:59:27,211 - mmseg - INFO - Iter [129250/160000] lr: 2.344e-06, eta: 1:51:12, time: 0.169, data_time: 0.007, memory: 52541, decode.loss_ce: 0.1812, decode.acc_seg: 92.3505, loss: 0.1812 +2023-03-04 08:59:35,648 - mmseg - INFO - Iter [129300/160000] lr: 2.344e-06, eta: 1:51:00, time: 0.169, data_time: 0.007, memory: 52541, decode.loss_ce: 0.1829, decode.acc_seg: 92.4938, loss: 0.1829 +2023-03-04 08:59:44,373 - mmseg - INFO - Iter [129350/160000] lr: 2.344e-06, eta: 1:50:49, time: 0.175, data_time: 0.007, memory: 52541, decode.loss_ce: 0.1835, decode.acc_seg: 92.5044, loss: 0.1835 +2023-03-04 08:59:55,145 - mmseg - INFO - Iter [129400/160000] lr: 2.344e-06, eta: 1:50:38, time: 0.215, data_time: 0.056, memory: 52541, decode.loss_ce: 0.1888, decode.acc_seg: 92.2985, loss: 0.1888 +2023-03-04 09:00:03,933 - mmseg - INFO - Iter [129450/160000] lr: 2.344e-06, eta: 1:50:27, time: 0.176, data_time: 0.007, memory: 52541, decode.loss_ce: 0.1858, decode.acc_seg: 92.4807, loss: 0.1858 +2023-03-04 09:00:12,607 - mmseg - INFO - Iter [129500/160000] lr: 2.344e-06, eta: 1:50:15, time: 0.173, data_time: 0.007, memory: 52541, decode.loss_ce: 0.1831, decode.acc_seg: 92.4315, loss: 0.1831 +2023-03-04 09:00:21,766 - mmseg - INFO - Iter [129550/160000] lr: 2.344e-06, eta: 1:50:04, time: 0.183, data_time: 0.008, memory: 52541, decode.loss_ce: 0.1843, decode.acc_seg: 92.4172, loss: 0.1843 +2023-03-04 09:00:30,445 - mmseg - INFO - Iter [129600/160000] lr: 2.344e-06, eta: 1:49:53, time: 0.173, data_time: 0.007, memory: 52541, decode.loss_ce: 0.1902, decode.acc_seg: 92.1507, loss: 0.1902 +2023-03-04 09:00:38,751 - mmseg - INFO - Iter [129650/160000] lr: 2.344e-06, eta: 1:49:41, time: 0.166, data_time: 0.007, memory: 52541, decode.loss_ce: 0.1912, decode.acc_seg: 92.2774, loss: 0.1912 +2023-03-04 09:00:47,126 - mmseg - INFO - Iter [129700/160000] lr: 2.344e-06, eta: 1:49:30, time: 0.167, data_time: 0.007, memory: 52541, decode.loss_ce: 0.1894, decode.acc_seg: 92.2981, loss: 0.1894 +2023-03-04 09:00:55,922 - mmseg - INFO - Iter [129750/160000] lr: 2.344e-06, eta: 1:49:19, time: 0.176, data_time: 0.008, memory: 52541, decode.loss_ce: 0.1771, decode.acc_seg: 92.6735, loss: 0.1771 +2023-03-04 09:01:04,538 - mmseg - INFO - Iter [129800/160000] lr: 2.344e-06, eta: 1:49:07, time: 0.172, data_time: 0.007, memory: 52541, decode.loss_ce: 0.1821, decode.acc_seg: 92.5130, loss: 0.1821 +2023-03-04 09:01:13,975 - mmseg - INFO - Iter [129850/160000] lr: 2.344e-06, eta: 1:48:56, time: 0.189, data_time: 0.007, memory: 52541, decode.loss_ce: 0.1851, decode.acc_seg: 92.3399, loss: 0.1851 +2023-03-04 09:01:22,487 - mmseg - INFO - Iter [129900/160000] lr: 2.344e-06, eta: 1:48:45, time: 0.170, data_time: 0.007, memory: 52541, decode.loss_ce: 0.1906, decode.acc_seg: 92.1666, loss: 0.1906 +2023-03-04 09:01:31,203 - mmseg - INFO - Iter [129950/160000] lr: 2.344e-06, eta: 1:48:33, time: 0.175, data_time: 0.007, memory: 52541, decode.loss_ce: 0.1820, decode.acc_seg: 92.4515, loss: 0.1820 +2023-03-04 09:01:41,941 - mmseg - INFO - Exp name: ablation_segformer_mit_b2_segformer_head_unet_fc_small_multi_step_ade_pretrained_freeze_embed_160k_ade20k151_finetune_ema_winit.py +2023-03-04 09:01:41,941 - mmseg - INFO - Iter [130000/160000] lr: 2.344e-06, eta: 1:48:22, time: 0.215, data_time: 0.054, memory: 52541, decode.loss_ce: 0.1869, decode.acc_seg: 92.3145, loss: 0.1869 +2023-03-04 09:01:50,692 - mmseg - INFO - Iter [130050/160000] lr: 2.344e-06, eta: 1:48:11, time: 0.175, data_time: 0.007, memory: 52541, decode.loss_ce: 0.1821, decode.acc_seg: 92.4923, loss: 0.1821 +2023-03-04 09:01:59,228 - mmseg - INFO - Iter [130100/160000] lr: 2.344e-06, eta: 1:48:00, time: 0.171, data_time: 0.007, memory: 52541, decode.loss_ce: 0.1816, decode.acc_seg: 92.4165, loss: 0.1816 +2023-03-04 09:02:07,759 - mmseg - INFO - Iter [130150/160000] lr: 2.344e-06, eta: 1:47:48, time: 0.171, data_time: 0.007, memory: 52541, decode.loss_ce: 0.1833, decode.acc_seg: 92.4533, loss: 0.1833 +2023-03-04 09:02:16,318 - mmseg - INFO - Iter [130200/160000] lr: 2.344e-06, eta: 1:47:37, time: 0.171, data_time: 0.007, memory: 52541, decode.loss_ce: 0.1914, decode.acc_seg: 92.1337, loss: 0.1914 +2023-03-04 09:02:24,664 - mmseg - INFO - Iter [130250/160000] lr: 2.344e-06, eta: 1:47:26, time: 0.167, data_time: 0.007, memory: 52541, decode.loss_ce: 0.1865, decode.acc_seg: 92.3517, loss: 0.1865 +2023-03-04 09:02:33,021 - mmseg - INFO - Iter [130300/160000] lr: 2.344e-06, eta: 1:47:14, time: 0.167, data_time: 0.007, memory: 52541, decode.loss_ce: 0.1774, decode.acc_seg: 92.6475, loss: 0.1774 +2023-03-04 09:02:41,718 - mmseg - INFO - Iter [130350/160000] lr: 2.344e-06, eta: 1:47:03, time: 0.174, data_time: 0.007, memory: 52541, decode.loss_ce: 0.1831, decode.acc_seg: 92.5207, loss: 0.1831 +2023-03-04 09:02:50,145 - mmseg - INFO - Iter [130400/160000] lr: 2.344e-06, eta: 1:46:52, time: 0.169, data_time: 0.007, memory: 52541, decode.loss_ce: 0.1993, decode.acc_seg: 91.9007, loss: 0.1993 +2023-03-04 09:02:58,658 - mmseg - INFO - Iter [130450/160000] lr: 2.344e-06, eta: 1:46:40, time: 0.170, data_time: 0.007, memory: 52541, decode.loss_ce: 0.1841, decode.acc_seg: 92.4453, loss: 0.1841 +2023-03-04 09:03:07,093 - mmseg - INFO - Iter [130500/160000] lr: 2.344e-06, eta: 1:46:29, time: 0.169, data_time: 0.007, memory: 52541, decode.loss_ce: 0.1836, decode.acc_seg: 92.3432, loss: 0.1836 +2023-03-04 09:03:15,796 - mmseg - INFO - Iter [130550/160000] lr: 2.344e-06, eta: 1:46:18, time: 0.174, data_time: 0.007, memory: 52541, decode.loss_ce: 0.1857, decode.acc_seg: 92.2674, loss: 0.1857 +2023-03-04 09:03:24,343 - mmseg - INFO - Iter [130600/160000] lr: 2.344e-06, eta: 1:46:06, time: 0.171, data_time: 0.007, memory: 52541, decode.loss_ce: 0.1787, decode.acc_seg: 92.6173, loss: 0.1787 +2023-03-04 09:03:35,274 - mmseg - INFO - Iter [130650/160000] lr: 2.344e-06, eta: 1:45:55, time: 0.219, data_time: 0.056, memory: 52541, decode.loss_ce: 0.1859, decode.acc_seg: 92.3496, loss: 0.1859 +2023-03-04 09:03:43,482 - mmseg - INFO - Iter [130700/160000] lr: 2.344e-06, eta: 1:45:44, time: 0.164, data_time: 0.007, memory: 52541, decode.loss_ce: 0.1840, decode.acc_seg: 92.3557, loss: 0.1840 +2023-03-04 09:03:51,948 - mmseg - INFO - Iter [130750/160000] lr: 2.344e-06, eta: 1:45:33, time: 0.169, data_time: 0.008, memory: 52541, decode.loss_ce: 0.1934, decode.acc_seg: 92.0727, loss: 0.1934 +2023-03-04 09:04:00,413 - mmseg - INFO - Iter [130800/160000] lr: 2.344e-06, eta: 1:45:21, time: 0.169, data_time: 0.007, memory: 52541, decode.loss_ce: 0.1798, decode.acc_seg: 92.5720, loss: 0.1798 +2023-03-04 09:04:08,827 - mmseg - INFO - Iter [130850/160000] lr: 2.344e-06, eta: 1:45:10, time: 0.168, data_time: 0.007, memory: 52541, decode.loss_ce: 0.1771, decode.acc_seg: 92.6495, loss: 0.1771 +2023-03-04 09:04:17,380 - mmseg - INFO - Iter [130900/160000] lr: 2.344e-06, eta: 1:44:59, time: 0.171, data_time: 0.007, memory: 52541, decode.loss_ce: 0.1836, decode.acc_seg: 92.3455, loss: 0.1836 +2023-03-04 09:04:26,357 - mmseg - INFO - Iter [130950/160000] lr: 2.344e-06, eta: 1:44:47, time: 0.180, data_time: 0.009, memory: 52541, decode.loss_ce: 0.1822, decode.acc_seg: 92.5487, loss: 0.1822 +2023-03-04 09:04:34,552 - mmseg - INFO - Exp name: ablation_segformer_mit_b2_segformer_head_unet_fc_small_multi_step_ade_pretrained_freeze_embed_160k_ade20k151_finetune_ema_winit.py +2023-03-04 09:04:34,552 - mmseg - INFO - Iter [131000/160000] lr: 2.344e-06, eta: 1:44:36, time: 0.164, data_time: 0.007, memory: 52541, decode.loss_ce: 0.1881, decode.acc_seg: 92.3290, loss: 0.1881 +2023-03-04 09:04:42,943 - mmseg - INFO - Iter [131050/160000] lr: 2.344e-06, eta: 1:44:25, time: 0.168, data_time: 0.007, memory: 52541, decode.loss_ce: 0.1874, decode.acc_seg: 92.2108, loss: 0.1874 +2023-03-04 09:04:51,317 - mmseg - INFO - Iter [131100/160000] lr: 2.344e-06, eta: 1:44:13, time: 0.167, data_time: 0.007, memory: 52541, decode.loss_ce: 0.1824, decode.acc_seg: 92.5220, loss: 0.1824 +2023-03-04 09:05:00,527 - mmseg - INFO - Iter [131150/160000] lr: 2.344e-06, eta: 1:44:02, time: 0.184, data_time: 0.008, memory: 52541, decode.loss_ce: 0.1827, decode.acc_seg: 92.3386, loss: 0.1827 +2023-03-04 09:05:08,970 - mmseg - INFO - Iter [131200/160000] lr: 2.344e-06, eta: 1:43:51, time: 0.169, data_time: 0.007, memory: 52541, decode.loss_ce: 0.1867, decode.acc_seg: 92.4292, loss: 0.1867 +2023-03-04 09:05:20,257 - mmseg - INFO - Iter [131250/160000] lr: 2.344e-06, eta: 1:43:40, time: 0.226, data_time: 0.055, memory: 52541, decode.loss_ce: 0.1792, decode.acc_seg: 92.5476, loss: 0.1792 +2023-03-04 09:05:29,799 - mmseg - INFO - Iter [131300/160000] lr: 2.344e-06, eta: 1:43:29, time: 0.191, data_time: 0.009, memory: 52541, decode.loss_ce: 0.1902, decode.acc_seg: 92.2207, loss: 0.1902 +2023-03-04 09:05:38,221 - mmseg - INFO - Iter [131350/160000] lr: 2.344e-06, eta: 1:43:18, time: 0.168, data_time: 0.007, memory: 52541, decode.loss_ce: 0.1862, decode.acc_seg: 92.2623, loss: 0.1862 +2023-03-04 09:05:46,475 - mmseg - INFO - Iter [131400/160000] lr: 2.344e-06, eta: 1:43:06, time: 0.165, data_time: 0.007, memory: 52541, decode.loss_ce: 0.1854, decode.acc_seg: 92.4306, loss: 0.1854 +2023-03-04 09:05:55,273 - mmseg - INFO - Iter [131450/160000] lr: 2.344e-06, eta: 1:42:55, time: 0.176, data_time: 0.007, memory: 52541, decode.loss_ce: 0.1910, decode.acc_seg: 92.2848, loss: 0.1910 +2023-03-04 09:06:03,787 - mmseg - INFO - Iter [131500/160000] lr: 2.344e-06, eta: 1:42:44, time: 0.170, data_time: 0.007, memory: 52541, decode.loss_ce: 0.1788, decode.acc_seg: 92.5556, loss: 0.1788 +2023-03-04 09:06:12,290 - mmseg - INFO - Iter [131550/160000] lr: 2.344e-06, eta: 1:42:32, time: 0.170, data_time: 0.008, memory: 52541, decode.loss_ce: 0.1856, decode.acc_seg: 92.4819, loss: 0.1856 +2023-03-04 09:06:20,822 - mmseg - INFO - Iter [131600/160000] lr: 2.344e-06, eta: 1:42:21, time: 0.171, data_time: 0.007, memory: 52541, decode.loss_ce: 0.1798, decode.acc_seg: 92.6527, loss: 0.1798 +2023-03-04 09:06:29,329 - mmseg - INFO - Iter [131650/160000] lr: 2.344e-06, eta: 1:42:10, time: 0.170, data_time: 0.008, memory: 52541, decode.loss_ce: 0.1869, decode.acc_seg: 92.2210, loss: 0.1869 +2023-03-04 09:06:37,925 - mmseg - INFO - Iter [131700/160000] lr: 2.344e-06, eta: 1:41:58, time: 0.172, data_time: 0.007, memory: 52541, decode.loss_ce: 0.1861, decode.acc_seg: 92.4115, loss: 0.1861 +2023-03-04 09:06:46,187 - mmseg - INFO - Iter [131750/160000] lr: 2.344e-06, eta: 1:41:47, time: 0.165, data_time: 0.007, memory: 52541, decode.loss_ce: 0.1822, decode.acc_seg: 92.4189, loss: 0.1822 +2023-03-04 09:06:54,833 - mmseg - INFO - Iter [131800/160000] lr: 2.344e-06, eta: 1:41:36, time: 0.173, data_time: 0.007, memory: 52541, decode.loss_ce: 0.1940, decode.acc_seg: 91.9223, loss: 0.1940 +2023-03-04 09:07:03,404 - mmseg - INFO - Iter [131850/160000] lr: 2.344e-06, eta: 1:41:24, time: 0.171, data_time: 0.007, memory: 52541, decode.loss_ce: 0.1803, decode.acc_seg: 92.4716, loss: 0.1803 +2023-03-04 09:07:14,703 - mmseg - INFO - Iter [131900/160000] lr: 2.344e-06, eta: 1:41:14, time: 0.226, data_time: 0.053, memory: 52541, decode.loss_ce: 0.1818, decode.acc_seg: 92.6223, loss: 0.1818 +2023-03-04 09:07:23,128 - mmseg - INFO - Iter [131950/160000] lr: 2.344e-06, eta: 1:41:02, time: 0.168, data_time: 0.007, memory: 52541, decode.loss_ce: 0.1957, decode.acc_seg: 91.9685, loss: 0.1957 +2023-03-04 09:07:31,664 - mmseg - INFO - Exp name: ablation_segformer_mit_b2_segformer_head_unet_fc_small_multi_step_ade_pretrained_freeze_embed_160k_ade20k151_finetune_ema_winit.py +2023-03-04 09:07:31,665 - mmseg - INFO - Iter [132000/160000] lr: 2.344e-06, eta: 1:40:51, time: 0.170, data_time: 0.007, memory: 52541, decode.loss_ce: 0.1803, decode.acc_seg: 92.5404, loss: 0.1803 +2023-03-04 09:07:40,525 - mmseg - INFO - Iter [132050/160000] lr: 2.344e-06, eta: 1:40:40, time: 0.177, data_time: 0.008, memory: 52541, decode.loss_ce: 0.1880, decode.acc_seg: 92.1978, loss: 0.1880 +2023-03-04 09:07:49,222 - mmseg - INFO - Iter [132100/160000] lr: 2.344e-06, eta: 1:40:29, time: 0.174, data_time: 0.007, memory: 52541, decode.loss_ce: 0.1796, decode.acc_seg: 92.7523, loss: 0.1796 +2023-03-04 09:07:57,944 - mmseg - INFO - Iter [132150/160000] lr: 2.344e-06, eta: 1:40:17, time: 0.175, data_time: 0.008, memory: 52541, decode.loss_ce: 0.1793, decode.acc_seg: 92.4686, loss: 0.1793 +2023-03-04 09:08:06,452 - mmseg - INFO - Iter [132200/160000] lr: 2.344e-06, eta: 1:40:06, time: 0.170, data_time: 0.007, memory: 52541, decode.loss_ce: 0.1833, decode.acc_seg: 92.2780, loss: 0.1833 +2023-03-04 09:08:15,218 - mmseg - INFO - Iter [132250/160000] lr: 2.344e-06, eta: 1:39:55, time: 0.175, data_time: 0.008, memory: 52541, decode.loss_ce: 0.1791, decode.acc_seg: 92.6453, loss: 0.1791 +2023-03-04 09:08:23,655 - mmseg - INFO - Iter [132300/160000] lr: 2.344e-06, eta: 1:39:44, time: 0.168, data_time: 0.007, memory: 52541, decode.loss_ce: 0.1813, decode.acc_seg: 92.5829, loss: 0.1813 +2023-03-04 09:08:32,132 - mmseg - INFO - Iter [132350/160000] lr: 2.344e-06, eta: 1:39:32, time: 0.170, data_time: 0.007, memory: 52541, decode.loss_ce: 0.1732, decode.acc_seg: 92.8113, loss: 0.1732 +2023-03-04 09:08:40,960 - mmseg - INFO - Iter [132400/160000] lr: 2.344e-06, eta: 1:39:21, time: 0.177, data_time: 0.008, memory: 52541, decode.loss_ce: 0.1804, decode.acc_seg: 92.5627, loss: 0.1804 +2023-03-04 09:08:49,529 - mmseg - INFO - Iter [132450/160000] lr: 2.344e-06, eta: 1:39:10, time: 0.171, data_time: 0.007, memory: 52541, decode.loss_ce: 0.1909, decode.acc_seg: 92.2256, loss: 0.1909 +2023-03-04 09:08:58,018 - mmseg - INFO - Iter [132500/160000] lr: 2.344e-06, eta: 1:38:59, time: 0.170, data_time: 0.007, memory: 52541, decode.loss_ce: 0.1821, decode.acc_seg: 92.5503, loss: 0.1821 +2023-03-04 09:09:08,951 - mmseg - INFO - Iter [132550/160000] lr: 2.344e-06, eta: 1:38:48, time: 0.218, data_time: 0.057, memory: 52541, decode.loss_ce: 0.1821, decode.acc_seg: 92.4946, loss: 0.1821 +2023-03-04 09:09:17,536 - mmseg - INFO - Iter [132600/160000] lr: 2.344e-06, eta: 1:38:37, time: 0.172, data_time: 0.007, memory: 52541, decode.loss_ce: 0.1848, decode.acc_seg: 92.3638, loss: 0.1848 +2023-03-04 09:09:26,276 - mmseg - INFO - Iter [132650/160000] lr: 2.344e-06, eta: 1:38:25, time: 0.175, data_time: 0.008, memory: 52541, decode.loss_ce: 0.1895, decode.acc_seg: 92.2486, loss: 0.1895 +2023-03-04 09:09:34,745 - mmseg - INFO - Iter [132700/160000] lr: 2.344e-06, eta: 1:38:14, time: 0.169, data_time: 0.007, memory: 52541, decode.loss_ce: 0.1762, decode.acc_seg: 92.6276, loss: 0.1762 +2023-03-04 09:09:43,015 - mmseg - INFO - Iter [132750/160000] lr: 2.344e-06, eta: 1:38:03, time: 0.165, data_time: 0.007, memory: 52541, decode.loss_ce: 0.1854, decode.acc_seg: 92.2347, loss: 0.1854 +2023-03-04 09:09:51,446 - mmseg - INFO - Iter [132800/160000] lr: 2.344e-06, eta: 1:37:51, time: 0.169, data_time: 0.007, memory: 52541, decode.loss_ce: 0.1863, decode.acc_seg: 92.2788, loss: 0.1863 +2023-03-04 09:09:59,965 - mmseg - INFO - Iter [132850/160000] lr: 2.344e-06, eta: 1:37:40, time: 0.170, data_time: 0.007, memory: 52541, decode.loss_ce: 0.1887, decode.acc_seg: 92.3712, loss: 0.1887 +2023-03-04 09:10:08,535 - mmseg - INFO - Iter [132900/160000] lr: 2.344e-06, eta: 1:37:29, time: 0.171, data_time: 0.006, memory: 52541, decode.loss_ce: 0.1771, decode.acc_seg: 92.5824, loss: 0.1771 +2023-03-04 09:10:16,812 - mmseg - INFO - Iter [132950/160000] lr: 2.344e-06, eta: 1:37:18, time: 0.166, data_time: 0.007, memory: 52541, decode.loss_ce: 0.1938, decode.acc_seg: 92.1990, loss: 0.1938 +2023-03-04 09:10:25,077 - mmseg - INFO - Exp name: ablation_segformer_mit_b2_segformer_head_unet_fc_small_multi_step_ade_pretrained_freeze_embed_160k_ade20k151_finetune_ema_winit.py +2023-03-04 09:10:25,077 - mmseg - INFO - Iter [133000/160000] lr: 2.344e-06, eta: 1:37:06, time: 0.165, data_time: 0.007, memory: 52541, decode.loss_ce: 0.1852, decode.acc_seg: 92.3792, loss: 0.1852 +2023-03-04 09:10:33,603 - mmseg - INFO - Iter [133050/160000] lr: 2.344e-06, eta: 1:36:55, time: 0.171, data_time: 0.007, memory: 52541, decode.loss_ce: 0.1821, decode.acc_seg: 92.6159, loss: 0.1821 +2023-03-04 09:10:42,328 - mmseg - INFO - Iter [133100/160000] lr: 2.344e-06, eta: 1:36:44, time: 0.174, data_time: 0.007, memory: 52541, decode.loss_ce: 0.1806, decode.acc_seg: 92.6742, loss: 0.1806 +2023-03-04 09:10:53,282 - mmseg - INFO - Iter [133150/160000] lr: 2.344e-06, eta: 1:36:33, time: 0.219, data_time: 0.058, memory: 52541, decode.loss_ce: 0.1894, decode.acc_seg: 92.2649, loss: 0.1894 +2023-03-04 09:11:01,851 - mmseg - INFO - Iter [133200/160000] lr: 2.344e-06, eta: 1:36:22, time: 0.171, data_time: 0.007, memory: 52541, decode.loss_ce: 0.1782, decode.acc_seg: 92.6093, loss: 0.1782 +2023-03-04 09:11:10,418 - mmseg - INFO - Iter [133250/160000] lr: 2.344e-06, eta: 1:36:11, time: 0.171, data_time: 0.007, memory: 52541, decode.loss_ce: 0.1871, decode.acc_seg: 92.2220, loss: 0.1871 +2023-03-04 09:11:18,920 - mmseg - INFO - Iter [133300/160000] lr: 2.344e-06, eta: 1:35:59, time: 0.170, data_time: 0.007, memory: 52541, decode.loss_ce: 0.1879, decode.acc_seg: 92.2754, loss: 0.1879 +2023-03-04 09:11:27,258 - mmseg - INFO - Iter [133350/160000] lr: 2.344e-06, eta: 1:35:48, time: 0.167, data_time: 0.007, memory: 52541, decode.loss_ce: 0.1925, decode.acc_seg: 92.2139, loss: 0.1925 +2023-03-04 09:11:35,884 - mmseg - INFO - Iter [133400/160000] lr: 2.344e-06, eta: 1:35:37, time: 0.172, data_time: 0.007, memory: 52541, decode.loss_ce: 0.1797, decode.acc_seg: 92.6907, loss: 0.1797 +2023-03-04 09:11:44,855 - mmseg - INFO - Iter [133450/160000] lr: 2.344e-06, eta: 1:35:26, time: 0.180, data_time: 0.007, memory: 52541, decode.loss_ce: 0.1812, decode.acc_seg: 92.5923, loss: 0.1812 +2023-03-04 09:11:53,924 - mmseg - INFO - Iter [133500/160000] lr: 2.344e-06, eta: 1:35:15, time: 0.181, data_time: 0.007, memory: 52541, decode.loss_ce: 0.1861, decode.acc_seg: 92.2454, loss: 0.1861 +2023-03-04 09:12:02,454 - mmseg - INFO - Iter [133550/160000] lr: 2.344e-06, eta: 1:35:03, time: 0.171, data_time: 0.007, memory: 52541, decode.loss_ce: 0.1799, decode.acc_seg: 92.6570, loss: 0.1799 +2023-03-04 09:12:11,211 - mmseg - INFO - Iter [133600/160000] lr: 2.344e-06, eta: 1:34:52, time: 0.175, data_time: 0.007, memory: 52541, decode.loss_ce: 0.1853, decode.acc_seg: 92.3587, loss: 0.1853 +2023-03-04 09:12:19,578 - mmseg - INFO - Iter [133650/160000] lr: 2.344e-06, eta: 1:34:41, time: 0.167, data_time: 0.007, memory: 52541, decode.loss_ce: 0.1930, decode.acc_seg: 92.1291, loss: 0.1930 +2023-03-04 09:12:27,890 - mmseg - INFO - Iter [133700/160000] lr: 2.344e-06, eta: 1:34:30, time: 0.166, data_time: 0.007, memory: 52541, decode.loss_ce: 0.1896, decode.acc_seg: 92.1574, loss: 0.1896 +2023-03-04 09:12:36,587 - mmseg - INFO - Iter [133750/160000] lr: 2.344e-06, eta: 1:34:19, time: 0.174, data_time: 0.007, memory: 52541, decode.loss_ce: 0.1866, decode.acc_seg: 92.3724, loss: 0.1866 +2023-03-04 09:12:47,444 - mmseg - INFO - Iter [133800/160000] lr: 2.344e-06, eta: 1:34:08, time: 0.217, data_time: 0.053, memory: 52541, decode.loss_ce: 0.1834, decode.acc_seg: 92.3378, loss: 0.1834 +2023-03-04 09:12:55,850 - mmseg - INFO - Iter [133850/160000] lr: 2.344e-06, eta: 1:33:57, time: 0.168, data_time: 0.007, memory: 52541, decode.loss_ce: 0.1839, decode.acc_seg: 92.5091, loss: 0.1839 +2023-03-04 09:13:04,653 - mmseg - INFO - Iter [133900/160000] lr: 2.344e-06, eta: 1:33:45, time: 0.176, data_time: 0.007, memory: 52541, decode.loss_ce: 0.1844, decode.acc_seg: 92.3833, loss: 0.1844 +2023-03-04 09:13:13,524 - mmseg - INFO - Iter [133950/160000] lr: 2.344e-06, eta: 1:33:34, time: 0.177, data_time: 0.007, memory: 52541, decode.loss_ce: 0.1904, decode.acc_seg: 92.1742, loss: 0.1904 +2023-03-04 09:13:22,290 - mmseg - INFO - Exp name: ablation_segformer_mit_b2_segformer_head_unet_fc_small_multi_step_ade_pretrained_freeze_embed_160k_ade20k151_finetune_ema_winit.py +2023-03-04 09:13:22,290 - mmseg - INFO - Iter [134000/160000] lr: 2.344e-06, eta: 1:33:23, time: 0.176, data_time: 0.008, memory: 52541, decode.loss_ce: 0.1927, decode.acc_seg: 92.1507, loss: 0.1927 +2023-03-04 09:13:31,185 - mmseg - INFO - Iter [134050/160000] lr: 2.344e-06, eta: 1:33:12, time: 0.178, data_time: 0.007, memory: 52541, decode.loss_ce: 0.1907, decode.acc_seg: 92.2657, loss: 0.1907 +2023-03-04 09:13:39,724 - mmseg - INFO - Iter [134100/160000] lr: 2.344e-06, eta: 1:33:01, time: 0.171, data_time: 0.007, memory: 52541, decode.loss_ce: 0.1778, decode.acc_seg: 92.6521, loss: 0.1778 +2023-03-04 09:13:47,944 - mmseg - INFO - Iter [134150/160000] lr: 2.344e-06, eta: 1:32:49, time: 0.164, data_time: 0.007, memory: 52541, decode.loss_ce: 0.1804, decode.acc_seg: 92.3955, loss: 0.1804 +2023-03-04 09:13:56,789 - mmseg - INFO - Iter [134200/160000] lr: 2.344e-06, eta: 1:32:38, time: 0.177, data_time: 0.007, memory: 52541, decode.loss_ce: 0.1858, decode.acc_seg: 92.1739, loss: 0.1858 +2023-03-04 09:14:05,109 - mmseg - INFO - Iter [134250/160000] lr: 2.344e-06, eta: 1:32:27, time: 0.166, data_time: 0.007, memory: 52541, decode.loss_ce: 0.1839, decode.acc_seg: 92.3873, loss: 0.1839 +2023-03-04 09:14:13,720 - mmseg - INFO - Iter [134300/160000] lr: 2.344e-06, eta: 1:32:16, time: 0.172, data_time: 0.007, memory: 52541, decode.loss_ce: 0.1983, decode.acc_seg: 91.9425, loss: 0.1983 +2023-03-04 09:14:22,403 - mmseg - INFO - Iter [134350/160000] lr: 2.344e-06, eta: 1:32:05, time: 0.174, data_time: 0.007, memory: 52541, decode.loss_ce: 0.1861, decode.acc_seg: 92.3017, loss: 0.1861 +2023-03-04 09:14:30,888 - mmseg - INFO - Iter [134400/160000] lr: 2.344e-06, eta: 1:31:54, time: 0.170, data_time: 0.007, memory: 52541, decode.loss_ce: 0.1854, decode.acc_seg: 92.3072, loss: 0.1854 +2023-03-04 09:14:41,852 - mmseg - INFO - Iter [134450/160000] lr: 2.344e-06, eta: 1:31:43, time: 0.219, data_time: 0.055, memory: 52541, decode.loss_ce: 0.1876, decode.acc_seg: 92.3156, loss: 0.1876 +2023-03-04 09:14:50,223 - mmseg - INFO - Iter [134500/160000] lr: 2.344e-06, eta: 1:31:32, time: 0.167, data_time: 0.007, memory: 52541, decode.loss_ce: 0.1827, decode.acc_seg: 92.4439, loss: 0.1827 +2023-03-04 09:14:58,779 - mmseg - INFO - Iter [134550/160000] lr: 2.344e-06, eta: 1:31:20, time: 0.171, data_time: 0.007, memory: 52541, decode.loss_ce: 0.1888, decode.acc_seg: 92.3142, loss: 0.1888 +2023-03-04 09:15:07,300 - mmseg - INFO - Iter [134600/160000] lr: 2.344e-06, eta: 1:31:09, time: 0.170, data_time: 0.008, memory: 52541, decode.loss_ce: 0.1902, decode.acc_seg: 92.2592, loss: 0.1902 +2023-03-04 09:15:15,889 - mmseg - INFO - Iter [134650/160000] lr: 2.344e-06, eta: 1:30:58, time: 0.172, data_time: 0.007, memory: 52541, decode.loss_ce: 0.1830, decode.acc_seg: 92.4727, loss: 0.1830 +2023-03-04 09:15:24,189 - mmseg - INFO - Iter [134700/160000] lr: 2.344e-06, eta: 1:30:47, time: 0.166, data_time: 0.007, memory: 52541, decode.loss_ce: 0.1823, decode.acc_seg: 92.4915, loss: 0.1823 +2023-03-04 09:15:32,518 - mmseg - INFO - Iter [134750/160000] lr: 2.344e-06, eta: 1:30:36, time: 0.167, data_time: 0.007, memory: 52541, decode.loss_ce: 0.1839, decode.acc_seg: 92.4165, loss: 0.1839 +2023-03-04 09:15:41,055 - mmseg - INFO - Iter [134800/160000] lr: 2.344e-06, eta: 1:30:24, time: 0.171, data_time: 0.007, memory: 52541, decode.loss_ce: 0.1824, decode.acc_seg: 92.4398, loss: 0.1824 +2023-03-04 09:15:49,865 - mmseg - INFO - Iter [134850/160000] lr: 2.344e-06, eta: 1:30:13, time: 0.176, data_time: 0.007, memory: 52541, decode.loss_ce: 0.1928, decode.acc_seg: 92.1954, loss: 0.1928 +2023-03-04 09:15:58,690 - mmseg - INFO - Iter [134900/160000] lr: 2.344e-06, eta: 1:30:02, time: 0.176, data_time: 0.007, memory: 52541, decode.loss_ce: 0.1764, decode.acc_seg: 92.6255, loss: 0.1764 +2023-03-04 09:16:06,937 - mmseg - INFO - Iter [134950/160000] lr: 2.344e-06, eta: 1:29:51, time: 0.165, data_time: 0.007, memory: 52541, decode.loss_ce: 0.1754, decode.acc_seg: 92.5686, loss: 0.1754 +2023-03-04 09:16:15,359 - mmseg - INFO - Exp name: ablation_segformer_mit_b2_segformer_head_unet_fc_small_multi_step_ade_pretrained_freeze_embed_160k_ade20k151_finetune_ema_winit.py +2023-03-04 09:16:15,359 - mmseg - INFO - Iter [135000/160000] lr: 2.344e-06, eta: 1:29:40, time: 0.168, data_time: 0.007, memory: 52541, decode.loss_ce: 0.1885, decode.acc_seg: 92.2847, loss: 0.1885 +2023-03-04 09:16:26,445 - mmseg - INFO - Iter [135050/160000] lr: 2.344e-06, eta: 1:29:29, time: 0.222, data_time: 0.052, memory: 52541, decode.loss_ce: 0.1819, decode.acc_seg: 92.4291, loss: 0.1819 +2023-03-04 09:16:35,143 - mmseg - INFO - Iter [135100/160000] lr: 2.344e-06, eta: 1:29:18, time: 0.174, data_time: 0.007, memory: 52541, decode.loss_ce: 0.1817, decode.acc_seg: 92.4775, loss: 0.1817 +2023-03-04 09:16:43,457 - mmseg - INFO - Iter [135150/160000] lr: 2.344e-06, eta: 1:29:07, time: 0.166, data_time: 0.007, memory: 52541, decode.loss_ce: 0.1733, decode.acc_seg: 92.7848, loss: 0.1733 +2023-03-04 09:16:51,811 - mmseg - INFO - Iter [135200/160000] lr: 2.344e-06, eta: 1:28:55, time: 0.167, data_time: 0.007, memory: 52541, decode.loss_ce: 0.1778, decode.acc_seg: 92.5903, loss: 0.1778 +2023-03-04 09:17:00,752 - mmseg - INFO - Iter [135250/160000] lr: 2.344e-06, eta: 1:28:44, time: 0.179, data_time: 0.007, memory: 52541, decode.loss_ce: 0.1794, decode.acc_seg: 92.5865, loss: 0.1794 +2023-03-04 09:17:09,546 - mmseg - INFO - Iter [135300/160000] lr: 2.344e-06, eta: 1:28:33, time: 0.176, data_time: 0.007, memory: 52541, decode.loss_ce: 0.1813, decode.acc_seg: 92.4832, loss: 0.1813 +2023-03-04 09:17:17,958 - mmseg - INFO - Iter [135350/160000] lr: 2.344e-06, eta: 1:28:22, time: 0.168, data_time: 0.007, memory: 52541, decode.loss_ce: 0.1880, decode.acc_seg: 92.3571, loss: 0.1880 +2023-03-04 09:17:26,346 - mmseg - INFO - Iter [135400/160000] lr: 2.344e-06, eta: 1:28:11, time: 0.168, data_time: 0.007, memory: 52541, decode.loss_ce: 0.1900, decode.acc_seg: 92.1748, loss: 0.1900 +2023-03-04 09:17:35,382 - mmseg - INFO - Iter [135450/160000] lr: 2.344e-06, eta: 1:28:00, time: 0.181, data_time: 0.007, memory: 52541, decode.loss_ce: 0.1800, decode.acc_seg: 92.6440, loss: 0.1800 +2023-03-04 09:17:43,904 - mmseg - INFO - Iter [135500/160000] lr: 2.344e-06, eta: 1:27:49, time: 0.170, data_time: 0.007, memory: 52541, decode.loss_ce: 0.1831, decode.acc_seg: 92.4416, loss: 0.1831 +2023-03-04 09:17:52,397 - mmseg - INFO - Iter [135550/160000] lr: 2.344e-06, eta: 1:27:37, time: 0.170, data_time: 0.007, memory: 52541, decode.loss_ce: 0.1836, decode.acc_seg: 92.4464, loss: 0.1836 +2023-03-04 09:18:01,599 - mmseg - INFO - Iter [135600/160000] lr: 2.344e-06, eta: 1:27:26, time: 0.184, data_time: 0.007, memory: 52541, decode.loss_ce: 0.1785, decode.acc_seg: 92.5411, loss: 0.1785 +2023-03-04 09:18:10,366 - mmseg - INFO - Iter [135650/160000] lr: 2.344e-06, eta: 1:27:15, time: 0.175, data_time: 0.007, memory: 52541, decode.loss_ce: 0.1926, decode.acc_seg: 91.9936, loss: 0.1926 +2023-03-04 09:18:21,133 - mmseg - INFO - Iter [135700/160000] lr: 2.344e-06, eta: 1:27:05, time: 0.215, data_time: 0.054, memory: 52541, decode.loss_ce: 0.1839, decode.acc_seg: 92.4648, loss: 0.1839 +2023-03-04 09:18:29,498 - mmseg - INFO - Iter [135750/160000] lr: 2.344e-06, eta: 1:26:53, time: 0.167, data_time: 0.007, memory: 52541, decode.loss_ce: 0.1907, decode.acc_seg: 92.1436, loss: 0.1907 +2023-03-04 09:18:37,982 - mmseg - INFO - Iter [135800/160000] lr: 2.344e-06, eta: 1:26:42, time: 0.170, data_time: 0.007, memory: 52541, decode.loss_ce: 0.1818, decode.acc_seg: 92.3977, loss: 0.1818 +2023-03-04 09:18:46,559 - mmseg - INFO - Iter [135850/160000] lr: 2.344e-06, eta: 1:26:31, time: 0.172, data_time: 0.008, memory: 52541, decode.loss_ce: 0.1844, decode.acc_seg: 92.4350, loss: 0.1844 +2023-03-04 09:18:55,070 - mmseg - INFO - Iter [135900/160000] lr: 2.344e-06, eta: 1:26:20, time: 0.170, data_time: 0.007, memory: 52541, decode.loss_ce: 0.1806, decode.acc_seg: 92.4529, loss: 0.1806 +2023-03-04 09:19:03,455 - mmseg - INFO - Iter [135950/160000] lr: 2.344e-06, eta: 1:26:09, time: 0.168, data_time: 0.007, memory: 52541, decode.loss_ce: 0.1801, decode.acc_seg: 92.5033, loss: 0.1801 +2023-03-04 09:19:11,721 - mmseg - INFO - Exp name: ablation_segformer_mit_b2_segformer_head_unet_fc_small_multi_step_ade_pretrained_freeze_embed_160k_ade20k151_finetune_ema_winit.py +2023-03-04 09:19:11,722 - mmseg - INFO - Iter [136000/160000] lr: 2.344e-06, eta: 1:25:58, time: 0.165, data_time: 0.007, memory: 52541, decode.loss_ce: 0.1780, decode.acc_seg: 92.5807, loss: 0.1780 +2023-03-04 09:19:20,161 - mmseg - INFO - Iter [136050/160000] lr: 2.344e-06, eta: 1:25:46, time: 0.169, data_time: 0.007, memory: 52541, decode.loss_ce: 0.1872, decode.acc_seg: 92.3765, loss: 0.1872 +2023-03-04 09:19:28,557 - mmseg - INFO - Iter [136100/160000] lr: 2.344e-06, eta: 1:25:35, time: 0.168, data_time: 0.007, memory: 52541, decode.loss_ce: 0.1931, decode.acc_seg: 92.0997, loss: 0.1931 +2023-03-04 09:19:36,850 - mmseg - INFO - Iter [136150/160000] lr: 2.344e-06, eta: 1:25:24, time: 0.166, data_time: 0.007, memory: 52541, decode.loss_ce: 0.1830, decode.acc_seg: 92.4648, loss: 0.1830 +2023-03-04 09:19:45,373 - mmseg - INFO - Iter [136200/160000] lr: 2.344e-06, eta: 1:25:13, time: 0.170, data_time: 0.007, memory: 52541, decode.loss_ce: 0.1721, decode.acc_seg: 92.8147, loss: 0.1721 +2023-03-04 09:19:53,916 - mmseg - INFO - Iter [136250/160000] lr: 2.344e-06, eta: 1:25:02, time: 0.171, data_time: 0.008, memory: 52541, decode.loss_ce: 0.1867, decode.acc_seg: 92.3099, loss: 0.1867 +2023-03-04 09:20:05,091 - mmseg - INFO - Iter [136300/160000] lr: 2.344e-06, eta: 1:24:51, time: 0.223, data_time: 0.053, memory: 52541, decode.loss_ce: 0.1820, decode.acc_seg: 92.5897, loss: 0.1820 +2023-03-04 09:20:13,614 - mmseg - INFO - Iter [136350/160000] lr: 2.344e-06, eta: 1:24:40, time: 0.170, data_time: 0.007, memory: 52541, decode.loss_ce: 0.1778, decode.acc_seg: 92.4881, loss: 0.1778 +2023-03-04 09:20:22,008 - mmseg - INFO - Iter [136400/160000] lr: 2.344e-06, eta: 1:24:29, time: 0.168, data_time: 0.007, memory: 52541, decode.loss_ce: 0.1875, decode.acc_seg: 92.3171, loss: 0.1875 +2023-03-04 09:20:30,381 - mmseg - INFO - Iter [136450/160000] lr: 2.344e-06, eta: 1:24:18, time: 0.167, data_time: 0.007, memory: 52541, decode.loss_ce: 0.1822, decode.acc_seg: 92.5559, loss: 0.1822 +2023-03-04 09:20:39,103 - mmseg - INFO - Iter [136500/160000] lr: 2.344e-06, eta: 1:24:07, time: 0.174, data_time: 0.007, memory: 52541, decode.loss_ce: 0.1812, decode.acc_seg: 92.4104, loss: 0.1812 +2023-03-04 09:20:47,598 - mmseg - INFO - Iter [136550/160000] lr: 2.344e-06, eta: 1:23:56, time: 0.170, data_time: 0.007, memory: 52541, decode.loss_ce: 0.1905, decode.acc_seg: 92.1945, loss: 0.1905 +2023-03-04 09:20:56,308 - mmseg - INFO - Iter [136600/160000] lr: 2.344e-06, eta: 1:23:44, time: 0.174, data_time: 0.007, memory: 52541, decode.loss_ce: 0.1822, decode.acc_seg: 92.5376, loss: 0.1822 +2023-03-04 09:21:04,995 - mmseg - INFO - Iter [136650/160000] lr: 2.344e-06, eta: 1:23:33, time: 0.174, data_time: 0.007, memory: 52541, decode.loss_ce: 0.1819, decode.acc_seg: 92.4242, loss: 0.1819 +2023-03-04 09:21:13,400 - mmseg - INFO - Iter [136700/160000] lr: 2.344e-06, eta: 1:23:22, time: 0.168, data_time: 0.007, memory: 52541, decode.loss_ce: 0.1832, decode.acc_seg: 92.4458, loss: 0.1832 +2023-03-04 09:21:21,900 - mmseg - INFO - Iter [136750/160000] lr: 2.344e-06, eta: 1:23:11, time: 0.170, data_time: 0.007, memory: 52541, decode.loss_ce: 0.1852, decode.acc_seg: 92.3841, loss: 0.1852 +2023-03-04 09:21:30,370 - mmseg - INFO - Iter [136800/160000] lr: 2.344e-06, eta: 1:23:00, time: 0.169, data_time: 0.007, memory: 52541, decode.loss_ce: 0.1863, decode.acc_seg: 92.3168, loss: 0.1863 +2023-03-04 09:21:38,563 - mmseg - INFO - Iter [136850/160000] lr: 2.344e-06, eta: 1:22:49, time: 0.164, data_time: 0.007, memory: 52541, decode.loss_ce: 0.1809, decode.acc_seg: 92.4659, loss: 0.1809 +2023-03-04 09:21:46,918 - mmseg - INFO - Iter [136900/160000] lr: 2.344e-06, eta: 1:22:38, time: 0.167, data_time: 0.007, memory: 52541, decode.loss_ce: 0.1816, decode.acc_seg: 92.5209, loss: 0.1816 +2023-03-04 09:21:57,797 - mmseg - INFO - Iter [136950/160000] lr: 2.344e-06, eta: 1:22:27, time: 0.218, data_time: 0.054, memory: 52541, decode.loss_ce: 0.1857, decode.acc_seg: 92.4348, loss: 0.1857 +2023-03-04 09:22:06,357 - mmseg - INFO - Exp name: ablation_segformer_mit_b2_segformer_head_unet_fc_small_multi_step_ade_pretrained_freeze_embed_160k_ade20k151_finetune_ema_winit.py +2023-03-04 09:22:06,357 - mmseg - INFO - Iter [137000/160000] lr: 2.344e-06, eta: 1:22:16, time: 0.171, data_time: 0.007, memory: 52541, decode.loss_ce: 0.1801, decode.acc_seg: 92.4478, loss: 0.1801 +2023-03-04 09:22:14,879 - mmseg - INFO - Iter [137050/160000] lr: 2.344e-06, eta: 1:22:05, time: 0.170, data_time: 0.007, memory: 52541, decode.loss_ce: 0.1933, decode.acc_seg: 92.1105, loss: 0.1933 +2023-03-04 09:22:23,802 - mmseg - INFO - Iter [137100/160000] lr: 2.344e-06, eta: 1:21:54, time: 0.179, data_time: 0.007, memory: 52541, decode.loss_ce: 0.1791, decode.acc_seg: 92.6912, loss: 0.1791 +2023-03-04 09:22:32,217 - mmseg - INFO - Iter [137150/160000] lr: 2.344e-06, eta: 1:21:43, time: 0.168, data_time: 0.007, memory: 52541, decode.loss_ce: 0.1859, decode.acc_seg: 92.2563, loss: 0.1859 +2023-03-04 09:22:40,804 - mmseg - INFO - Iter [137200/160000] lr: 2.344e-06, eta: 1:21:32, time: 0.172, data_time: 0.007, memory: 52541, decode.loss_ce: 0.1868, decode.acc_seg: 92.2632, loss: 0.1868 +2023-03-04 09:22:49,723 - mmseg - INFO - Iter [137250/160000] lr: 2.344e-06, eta: 1:21:21, time: 0.178, data_time: 0.007, memory: 52541, decode.loss_ce: 0.1828, decode.acc_seg: 92.4210, loss: 0.1828 +2023-03-04 09:22:58,015 - mmseg - INFO - Iter [137300/160000] lr: 2.344e-06, eta: 1:21:09, time: 0.166, data_time: 0.007, memory: 52541, decode.loss_ce: 0.1743, decode.acc_seg: 92.7492, loss: 0.1743 +2023-03-04 09:23:06,401 - mmseg - INFO - Iter [137350/160000] lr: 2.344e-06, eta: 1:20:58, time: 0.168, data_time: 0.007, memory: 52541, decode.loss_ce: 0.1776, decode.acc_seg: 92.6615, loss: 0.1776 +2023-03-04 09:23:15,125 - mmseg - INFO - Iter [137400/160000] lr: 2.344e-06, eta: 1:20:47, time: 0.174, data_time: 0.007, memory: 52541, decode.loss_ce: 0.1909, decode.acc_seg: 92.3473, loss: 0.1909 +2023-03-04 09:23:23,694 - mmseg - INFO - Iter [137450/160000] lr: 2.344e-06, eta: 1:20:36, time: 0.172, data_time: 0.007, memory: 52541, decode.loss_ce: 0.1880, decode.acc_seg: 92.3583, loss: 0.1880 +2023-03-04 09:23:32,090 - mmseg - INFO - Iter [137500/160000] lr: 2.344e-06, eta: 1:20:25, time: 0.168, data_time: 0.007, memory: 52541, decode.loss_ce: 0.1831, decode.acc_seg: 92.3811, loss: 0.1831 +2023-03-04 09:23:40,400 - mmseg - INFO - Iter [137550/160000] lr: 2.344e-06, eta: 1:20:14, time: 0.166, data_time: 0.007, memory: 52541, decode.loss_ce: 0.1817, decode.acc_seg: 92.3748, loss: 0.1817 +2023-03-04 09:23:51,514 - mmseg - INFO - Iter [137600/160000] lr: 2.344e-06, eta: 1:20:03, time: 0.222, data_time: 0.054, memory: 52541, decode.loss_ce: 0.1870, decode.acc_seg: 92.1290, loss: 0.1870 +2023-03-04 09:24:00,209 - mmseg - INFO - Iter [137650/160000] lr: 2.344e-06, eta: 1:19:52, time: 0.174, data_time: 0.007, memory: 52541, decode.loss_ce: 0.1749, decode.acc_seg: 92.6550, loss: 0.1749 +2023-03-04 09:24:08,596 - mmseg - INFO - Iter [137700/160000] lr: 2.344e-06, eta: 1:19:41, time: 0.168, data_time: 0.007, memory: 52541, decode.loss_ce: 0.1792, decode.acc_seg: 92.5867, loss: 0.1792 +2023-03-04 09:24:17,523 - mmseg - INFO - Iter [137750/160000] lr: 2.344e-06, eta: 1:19:30, time: 0.179, data_time: 0.006, memory: 52541, decode.loss_ce: 0.1852, decode.acc_seg: 92.3588, loss: 0.1852 +2023-03-04 09:24:26,464 - mmseg - INFO - Iter [137800/160000] lr: 2.344e-06, eta: 1:19:19, time: 0.179, data_time: 0.008, memory: 52541, decode.loss_ce: 0.1790, decode.acc_seg: 92.6056, loss: 0.1790 +2023-03-04 09:24:35,178 - mmseg - INFO - Iter [137850/160000] lr: 2.344e-06, eta: 1:19:08, time: 0.175, data_time: 0.007, memory: 52541, decode.loss_ce: 0.1821, decode.acc_seg: 92.5017, loss: 0.1821 +2023-03-04 09:24:44,085 - mmseg - INFO - Iter [137900/160000] lr: 2.344e-06, eta: 1:18:57, time: 0.178, data_time: 0.007, memory: 52541, decode.loss_ce: 0.1875, decode.acc_seg: 92.2855, loss: 0.1875 +2023-03-04 09:24:52,347 - mmseg - INFO - Iter [137950/160000] lr: 2.344e-06, eta: 1:18:46, time: 0.165, data_time: 0.007, memory: 52541, decode.loss_ce: 0.1826, decode.acc_seg: 92.3096, loss: 0.1826 +2023-03-04 09:25:00,606 - mmseg - INFO - Exp name: ablation_segformer_mit_b2_segformer_head_unet_fc_small_multi_step_ade_pretrained_freeze_embed_160k_ade20k151_finetune_ema_winit.py +2023-03-04 09:25:00,606 - mmseg - INFO - Iter [138000/160000] lr: 2.344e-06, eta: 1:18:35, time: 0.165, data_time: 0.007, memory: 52541, decode.loss_ce: 0.1809, decode.acc_seg: 92.5915, loss: 0.1809 +2023-03-04 09:25:09,050 - mmseg - INFO - Iter [138050/160000] lr: 2.344e-06, eta: 1:18:24, time: 0.169, data_time: 0.007, memory: 52541, decode.loss_ce: 0.1839, decode.acc_seg: 92.3919, loss: 0.1839 +2023-03-04 09:25:17,961 - mmseg - INFO - Iter [138100/160000] lr: 2.344e-06, eta: 1:18:13, time: 0.178, data_time: 0.007, memory: 52541, decode.loss_ce: 0.1819, decode.acc_seg: 92.4891, loss: 0.1819 +2023-03-04 09:25:26,404 - mmseg - INFO - Iter [138150/160000] lr: 2.344e-06, eta: 1:18:02, time: 0.169, data_time: 0.007, memory: 52541, decode.loss_ce: 0.1889, decode.acc_seg: 92.2033, loss: 0.1889 +2023-03-04 09:25:37,594 - mmseg - INFO - Iter [138200/160000] lr: 2.344e-06, eta: 1:17:51, time: 0.224, data_time: 0.055, memory: 52541, decode.loss_ce: 0.1776, decode.acc_seg: 92.4726, loss: 0.1776 +2023-03-04 09:25:46,396 - mmseg - INFO - Iter [138250/160000] lr: 2.344e-06, eta: 1:17:40, time: 0.176, data_time: 0.007, memory: 52541, decode.loss_ce: 0.1903, decode.acc_seg: 92.2041, loss: 0.1903 +2023-03-04 09:25:54,727 - mmseg - INFO - Iter [138300/160000] lr: 2.344e-06, eta: 1:17:29, time: 0.167, data_time: 0.007, memory: 52541, decode.loss_ce: 0.1823, decode.acc_seg: 92.4876, loss: 0.1823 +2023-03-04 09:26:03,410 - mmseg - INFO - Iter [138350/160000] lr: 2.344e-06, eta: 1:17:18, time: 0.174, data_time: 0.007, memory: 52541, decode.loss_ce: 0.1791, decode.acc_seg: 92.4263, loss: 0.1791 +2023-03-04 09:26:12,004 - mmseg - INFO - Iter [138400/160000] lr: 2.344e-06, eta: 1:17:07, time: 0.172, data_time: 0.007, memory: 52541, decode.loss_ce: 0.1864, decode.acc_seg: 92.3550, loss: 0.1864 +2023-03-04 09:26:20,771 - mmseg - INFO - Iter [138450/160000] lr: 2.344e-06, eta: 1:16:56, time: 0.175, data_time: 0.007, memory: 52541, decode.loss_ce: 0.1802, decode.acc_seg: 92.5462, loss: 0.1802 +2023-03-04 09:26:29,609 - mmseg - INFO - Iter [138500/160000] lr: 2.344e-06, eta: 1:16:45, time: 0.177, data_time: 0.007, memory: 52541, decode.loss_ce: 0.1868, decode.acc_seg: 92.4273, loss: 0.1868 +2023-03-04 09:26:38,516 - mmseg - INFO - Iter [138550/160000] lr: 2.344e-06, eta: 1:16:34, time: 0.178, data_time: 0.007, memory: 52541, decode.loss_ce: 0.1820, decode.acc_seg: 92.5184, loss: 0.1820 +2023-03-04 09:26:46,855 - mmseg - INFO - Iter [138600/160000] lr: 2.344e-06, eta: 1:16:23, time: 0.167, data_time: 0.007, memory: 52541, decode.loss_ce: 0.1864, decode.acc_seg: 92.1868, loss: 0.1864 +2023-03-04 09:26:55,347 - mmseg - INFO - Iter [138650/160000] lr: 2.344e-06, eta: 1:16:12, time: 0.170, data_time: 0.007, memory: 52541, decode.loss_ce: 0.1909, decode.acc_seg: 92.0917, loss: 0.1909 +2023-03-04 09:27:03,765 - mmseg - INFO - Iter [138700/160000] lr: 2.344e-06, eta: 1:16:01, time: 0.169, data_time: 0.007, memory: 52541, decode.loss_ce: 0.1885, decode.acc_seg: 92.2297, loss: 0.1885 +2023-03-04 09:27:12,393 - mmseg - INFO - Iter [138750/160000] lr: 2.344e-06, eta: 1:15:50, time: 0.173, data_time: 0.007, memory: 52541, decode.loss_ce: 0.1835, decode.acc_seg: 92.3872, loss: 0.1835 +2023-03-04 09:27:20,984 - mmseg - INFO - Iter [138800/160000] lr: 2.344e-06, eta: 1:15:39, time: 0.172, data_time: 0.007, memory: 52541, decode.loss_ce: 0.1863, decode.acc_seg: 92.4362, loss: 0.1863 +2023-03-04 09:27:32,567 - mmseg - INFO - Iter [138850/160000] lr: 2.344e-06, eta: 1:15:28, time: 0.231, data_time: 0.054, memory: 52541, decode.loss_ce: 0.1829, decode.acc_seg: 92.3209, loss: 0.1829 +2023-03-04 09:27:41,034 - mmseg - INFO - Iter [138900/160000] lr: 2.344e-06, eta: 1:15:17, time: 0.170, data_time: 0.007, memory: 52541, decode.loss_ce: 0.1844, decode.acc_seg: 92.3337, loss: 0.1844 +2023-03-04 09:27:49,555 - mmseg - INFO - Iter [138950/160000] lr: 2.344e-06, eta: 1:15:06, time: 0.170, data_time: 0.007, memory: 52541, decode.loss_ce: 0.1831, decode.acc_seg: 92.3427, loss: 0.1831 +2023-03-04 09:27:57,917 - mmseg - INFO - Exp name: ablation_segformer_mit_b2_segformer_head_unet_fc_small_multi_step_ade_pretrained_freeze_embed_160k_ade20k151_finetune_ema_winit.py +2023-03-04 09:27:57,918 - mmseg - INFO - Iter [139000/160000] lr: 2.344e-06, eta: 1:14:55, time: 0.167, data_time: 0.007, memory: 52541, decode.loss_ce: 0.1824, decode.acc_seg: 92.4882, loss: 0.1824 +2023-03-04 09:28:06,589 - mmseg - INFO - Iter [139050/160000] lr: 2.344e-06, eta: 1:14:44, time: 0.173, data_time: 0.007, memory: 52541, decode.loss_ce: 0.1810, decode.acc_seg: 92.5474, loss: 0.1810 +2023-03-04 09:28:15,712 - mmseg - INFO - Iter [139100/160000] lr: 2.344e-06, eta: 1:14:33, time: 0.183, data_time: 0.008, memory: 52541, decode.loss_ce: 0.1836, decode.acc_seg: 92.2495, loss: 0.1836 +2023-03-04 09:28:24,360 - mmseg - INFO - Iter [139150/160000] lr: 2.344e-06, eta: 1:14:22, time: 0.173, data_time: 0.007, memory: 52541, decode.loss_ce: 0.1833, decode.acc_seg: 92.5275, loss: 0.1833 +2023-03-04 09:28:32,721 - mmseg - INFO - Iter [139200/160000] lr: 2.344e-06, eta: 1:14:11, time: 0.167, data_time: 0.007, memory: 52541, decode.loss_ce: 0.1886, decode.acc_seg: 92.2268, loss: 0.1886 +2023-03-04 09:28:41,103 - mmseg - INFO - Iter [139250/160000] lr: 2.344e-06, eta: 1:14:00, time: 0.167, data_time: 0.007, memory: 52541, decode.loss_ce: 0.1832, decode.acc_seg: 92.3921, loss: 0.1832 +2023-03-04 09:28:49,560 - mmseg - INFO - Iter [139300/160000] lr: 2.344e-06, eta: 1:13:49, time: 0.169, data_time: 0.007, memory: 52541, decode.loss_ce: 0.1851, decode.acc_seg: 92.3073, loss: 0.1851 +2023-03-04 09:28:58,256 - mmseg - INFO - Iter [139350/160000] lr: 2.344e-06, eta: 1:13:38, time: 0.174, data_time: 0.008, memory: 52541, decode.loss_ce: 0.1867, decode.acc_seg: 92.2714, loss: 0.1867 +2023-03-04 09:29:06,754 - mmseg - INFO - Iter [139400/160000] lr: 2.344e-06, eta: 1:13:27, time: 0.170, data_time: 0.007, memory: 52541, decode.loss_ce: 0.1877, decode.acc_seg: 92.2549, loss: 0.1877 +2023-03-04 09:29:15,230 - mmseg - INFO - Iter [139450/160000] lr: 2.344e-06, eta: 1:13:16, time: 0.170, data_time: 0.007, memory: 52541, decode.loss_ce: 0.1899, decode.acc_seg: 92.1831, loss: 0.1899 +2023-03-04 09:29:26,616 - mmseg - INFO - Iter [139500/160000] lr: 2.344e-06, eta: 1:13:05, time: 0.228, data_time: 0.054, memory: 52541, decode.loss_ce: 0.1868, decode.acc_seg: 92.3549, loss: 0.1868 +2023-03-04 09:29:35,477 - mmseg - INFO - Iter [139550/160000] lr: 2.344e-06, eta: 1:12:54, time: 0.177, data_time: 0.007, memory: 52541, decode.loss_ce: 0.1794, decode.acc_seg: 92.5751, loss: 0.1794 +2023-03-04 09:29:44,024 - mmseg - INFO - Iter [139600/160000] lr: 2.344e-06, eta: 1:12:43, time: 0.171, data_time: 0.007, memory: 52541, decode.loss_ce: 0.1873, decode.acc_seg: 92.3346, loss: 0.1873 +2023-03-04 09:29:52,859 - mmseg - INFO - Iter [139650/160000] lr: 2.344e-06, eta: 1:12:32, time: 0.177, data_time: 0.007, memory: 52541, decode.loss_ce: 0.1798, decode.acc_seg: 92.4909, loss: 0.1798 +2023-03-04 09:30:01,041 - mmseg - INFO - Iter [139700/160000] lr: 2.344e-06, eta: 1:12:21, time: 0.164, data_time: 0.007, memory: 52541, decode.loss_ce: 0.1855, decode.acc_seg: 92.4266, loss: 0.1855 +2023-03-04 09:30:09,951 - mmseg - INFO - Iter [139750/160000] lr: 2.344e-06, eta: 1:12:10, time: 0.178, data_time: 0.007, memory: 52541, decode.loss_ce: 0.1814, decode.acc_seg: 92.5264, loss: 0.1814 +2023-03-04 09:30:18,576 - mmseg - INFO - Iter [139800/160000] lr: 2.344e-06, eta: 1:11:59, time: 0.172, data_time: 0.007, memory: 52541, decode.loss_ce: 0.1856, decode.acc_seg: 92.5090, loss: 0.1856 +2023-03-04 09:30:27,344 - mmseg - INFO - Iter [139850/160000] lr: 2.344e-06, eta: 1:11:48, time: 0.176, data_time: 0.007, memory: 52541, decode.loss_ce: 0.1879, decode.acc_seg: 92.2620, loss: 0.1879 +2023-03-04 09:30:35,614 - mmseg - INFO - Iter [139900/160000] lr: 2.344e-06, eta: 1:11:37, time: 0.165, data_time: 0.007, memory: 52541, decode.loss_ce: 0.1846, decode.acc_seg: 92.3723, loss: 0.1846 +2023-03-04 09:30:44,580 - mmseg - INFO - Iter [139950/160000] lr: 2.344e-06, eta: 1:11:26, time: 0.179, data_time: 0.008, memory: 52541, decode.loss_ce: 0.1889, decode.acc_seg: 92.3252, loss: 0.1889 +2023-03-04 09:30:53,018 - mmseg - INFO - Exp name: ablation_segformer_mit_b2_segformer_head_unet_fc_small_multi_step_ade_pretrained_freeze_embed_160k_ade20k151_finetune_ema_winit.py +2023-03-04 09:30:53,018 - mmseg - INFO - Iter [140000/160000] lr: 2.344e-06, eta: 1:11:15, time: 0.169, data_time: 0.007, memory: 52541, decode.loss_ce: 0.1867, decode.acc_seg: 92.4196, loss: 0.1867 +2023-03-04 09:31:01,963 - mmseg - INFO - Iter [140050/160000] lr: 1.172e-06, eta: 1:11:04, time: 0.179, data_time: 0.006, memory: 52541, decode.loss_ce: 0.1855, decode.acc_seg: 92.2060, loss: 0.1855 +2023-03-04 09:31:13,013 - mmseg - INFO - Iter [140100/160000] lr: 1.172e-06, eta: 1:10:54, time: 0.221, data_time: 0.059, memory: 52541, decode.loss_ce: 0.1879, decode.acc_seg: 92.3404, loss: 0.1879 +2023-03-04 09:31:21,830 - mmseg - INFO - Iter [140150/160000] lr: 1.172e-06, eta: 1:10:43, time: 0.176, data_time: 0.007, memory: 52541, decode.loss_ce: 0.1780, decode.acc_seg: 92.6366, loss: 0.1780 +2023-03-04 09:31:30,127 - mmseg - INFO - Iter [140200/160000] lr: 1.172e-06, eta: 1:10:32, time: 0.166, data_time: 0.007, memory: 52541, decode.loss_ce: 0.1788, decode.acc_seg: 92.5693, loss: 0.1788 +2023-03-04 09:31:38,901 - mmseg - INFO - Iter [140250/160000] lr: 1.172e-06, eta: 1:10:21, time: 0.175, data_time: 0.007, memory: 52541, decode.loss_ce: 0.1869, decode.acc_seg: 92.3020, loss: 0.1869 +2023-03-04 09:31:47,477 - mmseg - INFO - Iter [140300/160000] lr: 1.172e-06, eta: 1:10:10, time: 0.172, data_time: 0.007, memory: 52541, decode.loss_ce: 0.1816, decode.acc_seg: 92.4250, loss: 0.1816 +2023-03-04 09:31:56,068 - mmseg - INFO - Iter [140350/160000] lr: 1.172e-06, eta: 1:09:59, time: 0.172, data_time: 0.008, memory: 52541, decode.loss_ce: 0.1871, decode.acc_seg: 92.2871, loss: 0.1871 +2023-03-04 09:32:04,628 - mmseg - INFO - Iter [140400/160000] lr: 1.172e-06, eta: 1:09:48, time: 0.171, data_time: 0.007, memory: 52541, decode.loss_ce: 0.1869, decode.acc_seg: 92.2412, loss: 0.1869 +2023-03-04 09:32:13,617 - mmseg - INFO - Iter [140450/160000] lr: 1.172e-06, eta: 1:09:37, time: 0.180, data_time: 0.007, memory: 52541, decode.loss_ce: 0.1808, decode.acc_seg: 92.6637, loss: 0.1808 +2023-03-04 09:32:22,197 - mmseg - INFO - Iter [140500/160000] lr: 1.172e-06, eta: 1:09:26, time: 0.172, data_time: 0.007, memory: 52541, decode.loss_ce: 0.1914, decode.acc_seg: 92.2142, loss: 0.1914 +2023-03-04 09:32:30,787 - mmseg - INFO - Iter [140550/160000] lr: 1.172e-06, eta: 1:09:15, time: 0.172, data_time: 0.007, memory: 52541, decode.loss_ce: 0.1863, decode.acc_seg: 92.5159, loss: 0.1863 +2023-03-04 09:32:39,809 - mmseg - INFO - Iter [140600/160000] lr: 1.172e-06, eta: 1:09:04, time: 0.181, data_time: 0.007, memory: 52541, decode.loss_ce: 0.1789, decode.acc_seg: 92.6046, loss: 0.1789 +2023-03-04 09:32:48,296 - mmseg - INFO - Iter [140650/160000] lr: 1.172e-06, eta: 1:08:53, time: 0.169, data_time: 0.007, memory: 52541, decode.loss_ce: 0.1863, decode.acc_seg: 92.3269, loss: 0.1863 +2023-03-04 09:32:56,870 - mmseg - INFO - Iter [140700/160000] lr: 1.172e-06, eta: 1:08:42, time: 0.171, data_time: 0.007, memory: 52541, decode.loss_ce: 0.1785, decode.acc_seg: 92.7213, loss: 0.1785 +2023-03-04 09:33:08,193 - mmseg - INFO - Iter [140750/160000] lr: 1.172e-06, eta: 1:08:32, time: 0.227, data_time: 0.055, memory: 52541, decode.loss_ce: 0.1870, decode.acc_seg: 92.2607, loss: 0.1870 +2023-03-04 09:33:16,751 - mmseg - INFO - Iter [140800/160000] lr: 1.172e-06, eta: 1:08:21, time: 0.171, data_time: 0.007, memory: 52541, decode.loss_ce: 0.1887, decode.acc_seg: 92.1790, loss: 0.1887 +2023-03-04 09:33:25,532 - mmseg - INFO - Iter [140850/160000] lr: 1.172e-06, eta: 1:08:10, time: 0.176, data_time: 0.007, memory: 52541, decode.loss_ce: 0.1851, decode.acc_seg: 92.4070, loss: 0.1851 +2023-03-04 09:33:33,809 - mmseg - INFO - Iter [140900/160000] lr: 1.172e-06, eta: 1:07:59, time: 0.165, data_time: 0.007, memory: 52541, decode.loss_ce: 0.1827, decode.acc_seg: 92.5750, loss: 0.1827 +2023-03-04 09:33:42,182 - mmseg - INFO - Iter [140950/160000] lr: 1.172e-06, eta: 1:07:48, time: 0.167, data_time: 0.007, memory: 52541, decode.loss_ce: 0.1799, decode.acc_seg: 92.5515, loss: 0.1799 +2023-03-04 09:33:50,790 - mmseg - INFO - Exp name: ablation_segformer_mit_b2_segformer_head_unet_fc_small_multi_step_ade_pretrained_freeze_embed_160k_ade20k151_finetune_ema_winit.py +2023-03-04 09:33:50,790 - mmseg - INFO - Iter [141000/160000] lr: 1.172e-06, eta: 1:07:37, time: 0.172, data_time: 0.008, memory: 52541, decode.loss_ce: 0.1731, decode.acc_seg: 92.8009, loss: 0.1731 +2023-03-04 09:33:59,325 - mmseg - INFO - Iter [141050/160000] lr: 1.172e-06, eta: 1:07:26, time: 0.171, data_time: 0.007, memory: 52541, decode.loss_ce: 0.1854, decode.acc_seg: 92.3845, loss: 0.1854 +2023-03-04 09:34:07,811 - mmseg - INFO - Iter [141100/160000] lr: 1.172e-06, eta: 1:07:15, time: 0.170, data_time: 0.007, memory: 52541, decode.loss_ce: 0.1855, decode.acc_seg: 92.3165, loss: 0.1855 +2023-03-04 09:34:16,457 - mmseg - INFO - Iter [141150/160000] lr: 1.172e-06, eta: 1:07:04, time: 0.173, data_time: 0.008, memory: 52541, decode.loss_ce: 0.1808, decode.acc_seg: 92.6211, loss: 0.1808 +2023-03-04 09:34:24,954 - mmseg - INFO - Iter [141200/160000] lr: 1.172e-06, eta: 1:06:53, time: 0.170, data_time: 0.007, memory: 52541, decode.loss_ce: 0.1897, decode.acc_seg: 92.2398, loss: 0.1897 +2023-03-04 09:34:33,695 - mmseg - INFO - Iter [141250/160000] lr: 1.172e-06, eta: 1:06:42, time: 0.175, data_time: 0.007, memory: 52541, decode.loss_ce: 0.1806, decode.acc_seg: 92.4937, loss: 0.1806 +2023-03-04 09:34:42,299 - mmseg - INFO - Iter [141300/160000] lr: 1.172e-06, eta: 1:06:31, time: 0.172, data_time: 0.007, memory: 52541, decode.loss_ce: 0.1737, decode.acc_seg: 92.7784, loss: 0.1737 +2023-03-04 09:34:53,028 - mmseg - INFO - Iter [141350/160000] lr: 1.172e-06, eta: 1:06:20, time: 0.215, data_time: 0.056, memory: 52541, decode.loss_ce: 0.1802, decode.acc_seg: 92.4954, loss: 0.1802 +2023-03-04 09:35:01,373 - mmseg - INFO - Iter [141400/160000] lr: 1.172e-06, eta: 1:06:09, time: 0.167, data_time: 0.007, memory: 52541, decode.loss_ce: 0.1924, decode.acc_seg: 92.2926, loss: 0.1924 +2023-03-04 09:35:10,093 - mmseg - INFO - Iter [141450/160000] lr: 1.172e-06, eta: 1:05:58, time: 0.175, data_time: 0.007, memory: 52541, decode.loss_ce: 0.1901, decode.acc_seg: 92.1797, loss: 0.1901 +2023-03-04 09:35:18,641 - mmseg - INFO - Iter [141500/160000] lr: 1.172e-06, eta: 1:05:47, time: 0.171, data_time: 0.007, memory: 52541, decode.loss_ce: 0.1757, decode.acc_seg: 92.5854, loss: 0.1757 +2023-03-04 09:35:27,360 - mmseg - INFO - Iter [141550/160000] lr: 1.172e-06, eta: 1:05:36, time: 0.174, data_time: 0.007, memory: 52541, decode.loss_ce: 0.1872, decode.acc_seg: 92.3711, loss: 0.1872 +2023-03-04 09:35:35,694 - mmseg - INFO - Iter [141600/160000] lr: 1.172e-06, eta: 1:05:26, time: 0.167, data_time: 0.007, memory: 52541, decode.loss_ce: 0.1846, decode.acc_seg: 92.4238, loss: 0.1846 +2023-03-04 09:35:44,477 - mmseg - INFO - Iter [141650/160000] lr: 1.172e-06, eta: 1:05:15, time: 0.176, data_time: 0.007, memory: 52541, decode.loss_ce: 0.1779, decode.acc_seg: 92.6096, loss: 0.1779 +2023-03-04 09:35:53,238 - mmseg - INFO - Iter [141700/160000] lr: 1.172e-06, eta: 1:05:04, time: 0.175, data_time: 0.007, memory: 52541, decode.loss_ce: 0.1821, decode.acc_seg: 92.4781, loss: 0.1821 +2023-03-04 09:36:02,264 - mmseg - INFO - Iter [141750/160000] lr: 1.172e-06, eta: 1:04:53, time: 0.180, data_time: 0.008, memory: 52541, decode.loss_ce: 0.1861, decode.acc_seg: 92.2740, loss: 0.1861 +2023-03-04 09:36:10,771 - mmseg - INFO - Iter [141800/160000] lr: 1.172e-06, eta: 1:04:42, time: 0.170, data_time: 0.007, memory: 52541, decode.loss_ce: 0.1880, decode.acc_seg: 92.2314, loss: 0.1880 +2023-03-04 09:36:19,744 - mmseg - INFO - Iter [141850/160000] lr: 1.172e-06, eta: 1:04:31, time: 0.179, data_time: 0.007, memory: 52541, decode.loss_ce: 0.1829, decode.acc_seg: 92.3477, loss: 0.1829 +2023-03-04 09:36:28,284 - mmseg - INFO - Iter [141900/160000] lr: 1.172e-06, eta: 1:04:20, time: 0.171, data_time: 0.008, memory: 52541, decode.loss_ce: 0.1784, decode.acc_seg: 92.7035, loss: 0.1784 +2023-03-04 09:36:37,277 - mmseg - INFO - Iter [141950/160000] lr: 1.172e-06, eta: 1:04:09, time: 0.180, data_time: 0.008, memory: 52541, decode.loss_ce: 0.1845, decode.acc_seg: 92.3213, loss: 0.1845 +2023-03-04 09:36:48,339 - mmseg - INFO - Exp name: ablation_segformer_mit_b2_segformer_head_unet_fc_small_multi_step_ade_pretrained_freeze_embed_160k_ade20k151_finetune_ema_winit.py +2023-03-04 09:36:48,340 - mmseg - INFO - Iter [142000/160000] lr: 1.172e-06, eta: 1:03:59, time: 0.221, data_time: 0.055, memory: 52541, decode.loss_ce: 0.1839, decode.acc_seg: 92.3318, loss: 0.1839 +2023-03-04 09:36:56,661 - mmseg - INFO - Iter [142050/160000] lr: 1.172e-06, eta: 1:03:48, time: 0.166, data_time: 0.007, memory: 52541, decode.loss_ce: 0.1760, decode.acc_seg: 92.8272, loss: 0.1760 +2023-03-04 09:37:05,357 - mmseg - INFO - Iter [142100/160000] lr: 1.172e-06, eta: 1:03:37, time: 0.174, data_time: 0.007, memory: 52541, decode.loss_ce: 0.1874, decode.acc_seg: 92.2830, loss: 0.1874 +2023-03-04 09:37:13,845 - mmseg - INFO - Iter [142150/160000] lr: 1.172e-06, eta: 1:03:26, time: 0.170, data_time: 0.007, memory: 52541, decode.loss_ce: 0.1795, decode.acc_seg: 92.5947, loss: 0.1795 +2023-03-04 09:37:22,328 - mmseg - INFO - Iter [142200/160000] lr: 1.172e-06, eta: 1:03:15, time: 0.170, data_time: 0.007, memory: 52541, decode.loss_ce: 0.1799, decode.acc_seg: 92.6524, loss: 0.1799 +2023-03-04 09:37:30,881 - mmseg - INFO - Iter [142250/160000] lr: 1.172e-06, eta: 1:03:04, time: 0.171, data_time: 0.007, memory: 52541, decode.loss_ce: 0.1872, decode.acc_seg: 92.2684, loss: 0.1872 +2023-03-04 09:37:39,703 - mmseg - INFO - Iter [142300/160000] lr: 1.172e-06, eta: 1:02:53, time: 0.176, data_time: 0.007, memory: 52541, decode.loss_ce: 0.1798, decode.acc_seg: 92.5042, loss: 0.1798 +2023-03-04 09:37:48,895 - mmseg - INFO - Iter [142350/160000] lr: 1.172e-06, eta: 1:02:42, time: 0.184, data_time: 0.007, memory: 52541, decode.loss_ce: 0.1877, decode.acc_seg: 92.1946, loss: 0.1877 +2023-03-04 09:37:57,329 - mmseg - INFO - Iter [142400/160000] lr: 1.172e-06, eta: 1:02:31, time: 0.169, data_time: 0.007, memory: 52541, decode.loss_ce: 0.1918, decode.acc_seg: 92.1003, loss: 0.1918 +2023-03-04 09:38:06,038 - mmseg - INFO - Iter [142450/160000] lr: 1.172e-06, eta: 1:02:20, time: 0.175, data_time: 0.007, memory: 52541, decode.loss_ce: 0.1810, decode.acc_seg: 92.4804, loss: 0.1810 +2023-03-04 09:38:14,395 - mmseg - INFO - Iter [142500/160000] lr: 1.172e-06, eta: 1:02:09, time: 0.167, data_time: 0.007, memory: 52541, decode.loss_ce: 0.1887, decode.acc_seg: 92.1379, loss: 0.1887 +2023-03-04 09:38:22,691 - mmseg - INFO - Iter [142550/160000] lr: 1.172e-06, eta: 1:01:58, time: 0.166, data_time: 0.007, memory: 52541, decode.loss_ce: 0.1797, decode.acc_seg: 92.4644, loss: 0.1797 +2023-03-04 09:38:31,491 - mmseg - INFO - Iter [142600/160000] lr: 1.172e-06, eta: 1:01:48, time: 0.176, data_time: 0.007, memory: 52541, decode.loss_ce: 0.1763, decode.acc_seg: 92.6776, loss: 0.1763 +2023-03-04 09:38:42,572 - mmseg - INFO - Iter [142650/160000] lr: 1.172e-06, eta: 1:01:37, time: 0.222, data_time: 0.053, memory: 52541, decode.loss_ce: 0.1907, decode.acc_seg: 92.2507, loss: 0.1907 +2023-03-04 09:38:50,848 - mmseg - INFO - Iter [142700/160000] lr: 1.172e-06, eta: 1:01:26, time: 0.166, data_time: 0.007, memory: 52541, decode.loss_ce: 0.1865, decode.acc_seg: 92.2836, loss: 0.1865 +2023-03-04 09:38:59,113 - mmseg - INFO - Iter [142750/160000] lr: 1.172e-06, eta: 1:01:15, time: 0.165, data_time: 0.007, memory: 52541, decode.loss_ce: 0.1861, decode.acc_seg: 92.3676, loss: 0.1861 +2023-03-04 09:39:07,859 - mmseg - INFO - Iter [142800/160000] lr: 1.172e-06, eta: 1:01:04, time: 0.175, data_time: 0.008, memory: 52541, decode.loss_ce: 0.1825, decode.acc_seg: 92.5081, loss: 0.1825 +2023-03-04 09:39:16,561 - mmseg - INFO - Iter [142850/160000] lr: 1.172e-06, eta: 1:00:53, time: 0.174, data_time: 0.007, memory: 52541, decode.loss_ce: 0.1831, decode.acc_seg: 92.3878, loss: 0.1831 +2023-03-04 09:39:25,319 - mmseg - INFO - Iter [142900/160000] lr: 1.172e-06, eta: 1:00:42, time: 0.175, data_time: 0.007, memory: 52541, decode.loss_ce: 0.1900, decode.acc_seg: 92.2551, loss: 0.1900 +2023-03-04 09:39:33,641 - mmseg - INFO - Iter [142950/160000] lr: 1.172e-06, eta: 1:00:31, time: 0.167, data_time: 0.007, memory: 52541, decode.loss_ce: 0.1789, decode.acc_seg: 92.5645, loss: 0.1789 +2023-03-04 09:39:42,103 - mmseg - INFO - Exp name: ablation_segformer_mit_b2_segformer_head_unet_fc_small_multi_step_ade_pretrained_freeze_embed_160k_ade20k151_finetune_ema_winit.py +2023-03-04 09:39:42,103 - mmseg - INFO - Iter [143000/160000] lr: 1.172e-06, eta: 1:00:21, time: 0.169, data_time: 0.007, memory: 52541, decode.loss_ce: 0.1908, decode.acc_seg: 92.1902, loss: 0.1908 +2023-03-04 09:39:50,601 - mmseg - INFO - Iter [143050/160000] lr: 1.172e-06, eta: 1:00:10, time: 0.170, data_time: 0.007, memory: 52541, decode.loss_ce: 0.1853, decode.acc_seg: 92.3789, loss: 0.1853 +2023-03-04 09:39:59,116 - mmseg - INFO - Iter [143100/160000] lr: 1.172e-06, eta: 0:59:59, time: 0.170, data_time: 0.007, memory: 52541, decode.loss_ce: 0.1807, decode.acc_seg: 92.4095, loss: 0.1807 +2023-03-04 09:40:07,790 - mmseg - INFO - Iter [143150/160000] lr: 1.172e-06, eta: 0:59:48, time: 0.173, data_time: 0.007, memory: 52541, decode.loss_ce: 0.1917, decode.acc_seg: 92.1610, loss: 0.1917 +2023-03-04 09:40:16,374 - mmseg - INFO - Iter [143200/160000] lr: 1.172e-06, eta: 0:59:37, time: 0.172, data_time: 0.007, memory: 52541, decode.loss_ce: 0.1747, decode.acc_seg: 92.7580, loss: 0.1747 +2023-03-04 09:40:27,310 - mmseg - INFO - Iter [143250/160000] lr: 1.172e-06, eta: 0:59:26, time: 0.219, data_time: 0.052, memory: 52541, decode.loss_ce: 0.1814, decode.acc_seg: 92.6285, loss: 0.1814 +2023-03-04 09:40:35,627 - mmseg - INFO - Iter [143300/160000] lr: 1.172e-06, eta: 0:59:15, time: 0.166, data_time: 0.007, memory: 52541, decode.loss_ce: 0.1816, decode.acc_seg: 92.5470, loss: 0.1816 +2023-03-04 09:40:44,147 - mmseg - INFO - Iter [143350/160000] lr: 1.172e-06, eta: 0:59:05, time: 0.170, data_time: 0.007, memory: 52541, decode.loss_ce: 0.1765, decode.acc_seg: 92.6344, loss: 0.1765 +2023-03-04 09:40:53,226 - mmseg - INFO - Iter [143400/160000] lr: 1.172e-06, eta: 0:58:54, time: 0.181, data_time: 0.007, memory: 52541, decode.loss_ce: 0.1878, decode.acc_seg: 92.1198, loss: 0.1878 +2023-03-04 09:41:01,795 - mmseg - INFO - Iter [143450/160000] lr: 1.172e-06, eta: 0:58:43, time: 0.172, data_time: 0.007, memory: 52541, decode.loss_ce: 0.1801, decode.acc_seg: 92.7131, loss: 0.1801 +2023-03-04 09:41:10,261 - mmseg - INFO - Iter [143500/160000] lr: 1.172e-06, eta: 0:58:32, time: 0.169, data_time: 0.007, memory: 52541, decode.loss_ce: 0.1867, decode.acc_seg: 92.4148, loss: 0.1867 +2023-03-04 09:41:18,863 - mmseg - INFO - Iter [143550/160000] lr: 1.172e-06, eta: 0:58:21, time: 0.172, data_time: 0.007, memory: 52541, decode.loss_ce: 0.1772, decode.acc_seg: 92.5898, loss: 0.1772 +2023-03-04 09:41:27,520 - mmseg - INFO - Iter [143600/160000] lr: 1.172e-06, eta: 0:58:10, time: 0.173, data_time: 0.008, memory: 52541, decode.loss_ce: 0.1869, decode.acc_seg: 92.3434, loss: 0.1869 +2023-03-04 09:41:36,446 - mmseg - INFO - Iter [143650/160000] lr: 1.172e-06, eta: 0:57:59, time: 0.179, data_time: 0.008, memory: 52541, decode.loss_ce: 0.1844, decode.acc_seg: 92.3811, loss: 0.1844 +2023-03-04 09:41:44,986 - mmseg - INFO - Iter [143700/160000] lr: 1.172e-06, eta: 0:57:49, time: 0.171, data_time: 0.007, memory: 52541, decode.loss_ce: 0.1853, decode.acc_seg: 92.4843, loss: 0.1853 +2023-03-04 09:41:53,932 - mmseg - INFO - Iter [143750/160000] lr: 1.172e-06, eta: 0:57:38, time: 0.179, data_time: 0.007, memory: 52541, decode.loss_ce: 0.1866, decode.acc_seg: 92.2947, loss: 0.1866 +2023-03-04 09:42:02,828 - mmseg - INFO - Iter [143800/160000] lr: 1.172e-06, eta: 0:57:27, time: 0.178, data_time: 0.007, memory: 52541, decode.loss_ce: 0.1808, decode.acc_seg: 92.4984, loss: 0.1808 +2023-03-04 09:42:11,624 - mmseg - INFO - Iter [143850/160000] lr: 1.172e-06, eta: 0:57:16, time: 0.176, data_time: 0.006, memory: 52541, decode.loss_ce: 0.1763, decode.acc_seg: 92.7098, loss: 0.1763 +2023-03-04 09:42:22,376 - mmseg - INFO - Iter [143900/160000] lr: 1.172e-06, eta: 0:57:05, time: 0.215, data_time: 0.052, memory: 52541, decode.loss_ce: 0.1871, decode.acc_seg: 92.2462, loss: 0.1871 +2023-03-04 09:42:30,714 - mmseg - INFO - Iter [143950/160000] lr: 1.172e-06, eta: 0:56:54, time: 0.167, data_time: 0.007, memory: 52541, decode.loss_ce: 0.1790, decode.acc_seg: 92.6444, loss: 0.1790 +2023-03-04 09:42:39,187 - mmseg - INFO - Swap parameters (after train) after iter [144000] +2023-03-04 09:42:39,201 - mmseg - INFO - Saving checkpoint at 144000 iterations +2023-03-04 09:42:40,260 - mmseg - INFO - Exp name: ablation_segformer_mit_b2_segformer_head_unet_fc_small_multi_step_ade_pretrained_freeze_embed_160k_ade20k151_finetune_ema_winit.py +2023-03-04 09:42:40,260 - mmseg - INFO - Iter [144000/160000] lr: 1.172e-06, eta: 0:56:44, time: 0.191, data_time: 0.007, memory: 52541, decode.loss_ce: 0.1891, decode.acc_seg: 92.2732, loss: 0.1891 +2023-03-04 09:53:31,898 - mmseg - INFO - per class results: +2023-03-04 09:53:31,907 - mmseg - INFO - ++---------------------+-------------------------------------------------------------------+ +| Class | IoU 0,10,20,30,40,50,60,70,80,90,99 | ++---------------------+-------------------------------------------------------------------+ +| background | nan,nan,nan,nan,nan,nan,nan,nan,nan,nan,nan | +| wall | 77.46,77.46,77.48,77.48,77.48,77.49,77.49,77.5,77.51,77.51,77.51 | +| building | 81.68,81.68,81.67,81.67,81.67,81.66,81.66,81.65,81.65,81.65,81.65 | +| sky | 94.39,94.4,94.39,94.4,94.39,94.39,94.39,94.39,94.39,94.39,94.39 | +| floor | 81.73,81.72,81.71,81.72,81.72,81.7,81.7,81.7,81.7,81.7,81.68 | +| tree | 74.28,74.27,74.28,74.29,74.28,74.28,74.28,74.27,74.27,74.26,74.27 | +| ceiling | 85.09,85.1,85.11,85.13,85.13,85.13,85.14,85.15,85.16,85.17,85.17 | +| road | 82.14,82.14,82.14,82.13,82.12,82.12,82.12,82.12,82.12,82.11,82.12 | +| bed | 87.95,87.99,87.98,88.0,87.97,87.97,87.98,88.0,88.0,87.99,87.99 | +| windowpane | 60.66,60.66,60.65,60.66,60.62,60.63,60.61,60.61,60.59,60.57,60.56 | +| grass | 67.36,67.35,67.32,67.33,67.34,67.33,67.32,67.31,67.31,67.3,67.3 | +| cabinet | 62.06,62.08,62.03,62.03,61.95,61.97,61.91,61.93,61.93,61.82,61.87 | +| sidewalk | 64.94,64.97,64.96,64.95,64.95,64.94,64.96,64.95,64.96,64.96,64.97 | +| person | 79.66,79.66,79.68,79.67,79.67,79.67,79.67,79.68,79.68,79.67,79.7 | +| earth | 36.16,36.15,36.16,36.18,36.17,36.18,36.19,36.2,36.21,36.22,36.23 | +| door | 45.62,45.61,45.64,45.61,45.61,45.59,45.61,45.58,45.59,45.58,45.58 | +| table | 61.13,61.13,61.16,61.15,61.14,61.14,61.12,61.14,61.13,61.13,61.13 | +| mountain | 57.25,57.26,57.31,57.35,57.33,57.36,57.38,57.38,57.45,57.44,57.47 | +| plant | 50.02,50.02,50.01,50.06,50.03,50.03,50.04,50.05,50.04,50.02,50.02 | +| curtain | 74.93,74.93,74.96,74.92,74.92,74.91,74.89,74.92,74.9,74.88,74.9 | +| chair | 56.61,56.61,56.61,56.63,56.63,56.62,56.63,56.63,56.62,56.63,56.62 | +| car | 81.95,81.96,81.97,81.97,81.97,81.98,82.0,82.0,82.01,82.0,82.01 | +| water | 57.23,57.22,57.23,57.22,57.23,57.23,57.23,57.24,57.23,57.22,57.24 | +| painting | 70.75,70.76,70.78,70.81,70.84,70.88,70.9,70.93,70.95,70.99,71.0 | +| sofa | 64.13,64.17,64.16,64.14,64.18,64.16,64.16,64.16,64.16,64.17,64.17 | +| shelf | 44.07,44.03,44.04,44.06,44.0,44.02,44.02,43.98,44.05,43.99,44.02 | +| house | 42.58,42.52,42.45,42.34,42.3,42.22,42.17,42.04,41.96,41.93,41.9 | +| sea | 60.4,60.45,60.44,60.46,60.47,60.49,60.5,60.51,60.52,60.53,60.54 | +| mirror | 66.37,66.35,66.37,66.36,66.38,66.32,66.34,66.36,66.37,66.36,66.38 | +| rug | 64.66,64.68,64.61,64.6,64.55,64.49,64.42,64.43,64.43,64.42,64.37 | +| field | 30.9,30.95,30.97,30.96,30.96,30.96,30.99,31.02,31.02,31.04,31.02 | +| armchair | 38.05,38.04,38.02,38.03,38.03,38.04,38.03,38.03,38.01,38.0,38.0 | +| seat | 66.72,66.64,66.62,66.63,66.61,66.63,66.6,66.6,66.59,66.56,66.58 | +| fence | 40.22,40.23,40.28,40.28,40.29,40.24,40.25,40.27,40.26,40.28,40.26 | +| desk | 46.59,46.59,46.61,46.53,46.57,46.54,46.45,46.52,46.49,46.44,46.46 | +| rock | 36.84,36.82,36.82,36.81,36.83,36.84,36.8,36.83,36.81,36.81,36.83 | +| wardrobe | 57.81,57.77,57.78,57.77,57.74,57.75,57.72,57.71,57.72,57.62,57.67 | +| lamp | 62.03,62.0,62.04,62.04,62.02,62.06,62.05,62.07,62.07,62.07,62.07 | +| bathtub | 77.27,77.23,77.26,77.24,77.22,77.21,77.15,77.14,77.11,77.13,77.06 | +| railing | 33.75,33.78,33.75,33.71,33.75,33.7,33.7,33.7,33.72,33.71,33.73 | +| cushion | 56.69,56.75,56.69,56.62,56.57,56.47,56.5,56.47,56.38,56.39,56.35 | +| base | 22.61,22.57,22.61,22.59,22.62,22.59,22.61,22.61,22.62,22.64,22.64 | +| box | 23.33,23.37,23.34,23.35,23.35,23.34,23.38,23.36,23.35,23.34,23.33 | +| column | 46.16,46.26,46.24,46.26,46.28,46.26,46.33,46.32,46.35,46.36,46.37 | +| signboard | 37.88,37.87,37.91,37.9,37.89,37.9,37.93,37.91,37.93,37.93,37.92 | +| chest of drawers | 36.43,36.46,36.44,36.35,36.33,36.31,36.3,36.31,36.23,36.19,36.14 | +| counter | 30.53,30.56,30.57,30.54,30.55,30.57,30.58,30.62,30.61,30.61,30.6 | +| sand | 44.35,44.34,44.42,44.41,44.5,44.56,44.57,44.61,44.66,44.66,44.74 | +| sink | 68.05,68.04,68.0,68.04,68.04,68.05,68.05,68.03,68.04,68.06,68.05 | +| skyscraper | 52.63,52.56,52.46,52.32,52.28,51.97,52.03,51.76,51.75,51.86,51.83 | +| fireplace | 74.88,74.84,74.91,74.85,74.87,74.78,74.83,74.81,74.83,74.8,74.78 | +| refrigerator | 75.07,75.05,75.06,75.04,75.02,75.03,75.03,75.0,74.97,74.92,74.94 | +| grandstand | 53.04,53.01,52.98,52.82,52.84,52.8,52.8,52.75,52.74,52.68,52.74 | +| path | 22.31,22.32,22.34,22.33,22.35,22.34,22.32,22.36,22.34,22.34,22.35 | +| stairs | 31.21,31.18,31.11,31.09,31.07,31.06,31.06,31.0,30.99,30.98,30.97 | +| runway | 67.39,67.36,67.38,67.35,67.34,67.27,67.27,67.25,67.27,67.21,67.2 | +| case | 48.11,48.14,48.1,48.08,48.12,48.13,48.1,48.05,48.05,48.09,48.04 | +| pool table | 91.97,91.97,91.96,91.95,91.94,91.94,91.9,91.9,91.91,91.9,91.87 | +| pillow | 60.27,60.42,60.4,60.57,60.41,60.43,60.48,60.58,60.59,60.65,60.73 | +| screen door | 69.76,69.89,69.95,69.98,69.93,69.99,69.97,70.01,69.99,70.01,69.98 | +| stairway | 23.43,23.41,23.36,23.39,23.37,23.37,23.41,23.36,23.39,23.39,23.34 | +| river | 11.87,11.87,11.87,11.87,11.87,11.86,11.88,11.87,11.88,11.88,11.87 | +| bridge | 32.5,32.47,32.39,32.36,32.31,32.2,32.22,32.11,32.13,32.04,32.06 | +| bookcase | 45.46,45.35,45.39,45.41,45.45,45.52,45.49,45.46,45.55,45.46,45.56 | +| blind | 40.27,40.34,40.31,40.2,40.22,40.07,40.12,40.1,40.12,40.11,40.05 | +| coffee table | 53.62,53.63,53.51,53.47,53.37,53.39,53.33,53.29,53.27,53.19,53.23 | +| toilet | 84.05,84.04,84.11,84.12,84.11,84.12,84.15,84.16,84.2,84.18,84.23 | +| flower | 38.5,38.54,38.54,38.55,38.56,38.59,38.63,38.6,38.61,38.63,38.61 | +| book | 44.91,44.84,44.89,44.85,44.89,44.96,44.92,44.92,44.95,44.94,44.98 | +| hill | 15.75,15.81,15.82,15.87,15.88,15.87,15.93,15.96,15.98,16.0,16.0 | +| bench | 43.05,43.06,43.11,43.06,43.06,43.04,43.07,43.06,43.02,43.0,43.0 | +| countertop | 55.79,55.79,55.82,55.86,55.83,55.89,55.9,55.97,55.9,55.94,55.93 | +| stove | 72.93,72.89,72.93,72.93,72.92,72.91,72.9,72.91,72.9,72.91,72.91 | +| palm | 48.42,48.45,48.43,48.44,48.47,48.43,48.47,48.47,48.47,48.47,48.46 | +| kitchen island | 45.58,45.56,45.42,45.43,45.32,45.4,45.24,45.28,45.34,44.99,45.26 | +| computer | 60.67,60.68,60.69,60.69,60.69,60.71,60.7,60.71,60.73,60.73,60.73 | +| swivel chair | 43.21,43.14,43.12,43.08,43.13,43.11,43.13,43.11,43.14,43.12,43.09 | +| boat | 72.21,72.18,72.24,72.28,72.32,72.32,72.33,72.35,72.34,72.44,72.47 | +| bar | 23.93,23.95,23.93,23.92,23.9,23.89,23.87,23.88,23.87,23.87,23.87 | +| arcade machine | 69.3,69.51,69.52,69.53,69.67,69.73,69.79,69.77,70.05,69.98,70.19 | +| hovel | 34.34,34.09,34.16,34.15,34.08,34.12,33.94,33.92,33.91,33.84,33.82 | +| bus | 80.03,80.02,80.0,80.0,79.97,79.96,79.97,79.93,79.89,79.88,79.86 | +| towel | 63.18,63.28,63.29,63.3,63.3,63.3,63.36,63.37,63.4,63.41,63.41 | +| light | 55.02,54.95,54.88,54.91,54.83,54.75,54.7,54.68,54.65,54.57,54.44 | +| truck | 18.49,18.53,18.45,18.5,18.52,18.45,18.37,18.51,18.47,18.43,18.45 | +| tower | 7.73,7.85,7.83,7.78,7.79,7.74,7.75,7.77,7.75,7.79,7.82 | +| chandelier | 64.44,64.41,64.49,64.45,64.45,64.48,64.47,64.52,64.51,64.51,64.5 | +| awning | 23.96,23.94,23.86,23.89,23.79,23.75,23.71,23.57,23.62,23.39,23.48 | +| streetlight | 27.41,27.41,27.38,27.46,27.48,27.5,27.45,27.45,27.51,27.52,27.56 | +| booth | 47.32,47.45,47.38,47.51,47.71,47.43,47.55,47.55,47.67,47.77,47.69 | +| television receiver | 63.84,63.91,63.91,63.88,63.91,63.91,63.91,63.95,63.91,63.92,63.94 | +| airplane | 60.54,60.61,60.62,60.58,60.62,60.6,60.58,60.66,60.62,60.62,60.59 | +| dirt track | 20.02,20.09,20.22,20.33,20.21,20.3,20.48,20.39,20.43,20.53,20.61 | +| apparel | 34.37,34.26,34.32,34.19,34.25,34.28,34.14,34.18,34.09,34.03,34.03 | +| pole | 19.21,19.19,19.18,19.17,19.13,19.11,19.12,19.07,19.08,19.06,19.04 | +| land | 3.67,3.69,3.68,3.71,3.7,3.7,3.73,3.74,3.75,3.73,3.75 | +| bannister | 12.68,12.71,12.66,12.71,12.77,12.71,12.75,12.75,12.75,12.82,12.77 | +| escalator | 25.06,25.05,25.03,25.04,25.0,25.0,25.02,25.03,25.01,25.01,24.97 | +| ottoman | 42.27,42.29,42.3,42.2,42.21,42.23,42.26,42.26,42.19,42.14,42.12 | +| bottle | 33.77,33.8,33.8,33.87,33.85,33.81,33.88,33.87,33.84,33.86,33.84 | +| buffet | 42.34,42.3,42.26,42.25,42.21,42.13,42.1,42.06,41.96,42.03,41.78 | +| poster | 22.61,22.65,22.63,22.69,22.69,22.72,22.7,22.71,22.76,22.73,22.76 | +| stage | 15.85,15.84,15.85,15.84,15.86,15.86,15.86,15.84,15.83,15.84,15.8 | +| van | 37.74,37.78,37.79,37.74,37.76,37.71,37.75,37.73,37.73,37.68,37.68 | +| ship | 82.42,82.4,82.43,82.45,82.42,82.46,82.45,82.44,82.43,82.51,82.52 | +| fountain | 21.59,21.36,21.52,21.58,21.64,21.6,21.62,21.72,21.67,21.65,21.67 | +| conveyer belt | 84.87,84.79,84.92,84.87,84.93,85.0,84.96,84.98,85.02,85.0,85.08 | +| canopy | 26.11,26.14,26.26,26.11,26.2,26.11,26.12,26.1,26.16,26.11,26.03 | +| washer | 75.41,75.45,75.59,75.46,75.53,75.5,75.56,75.58,75.65,75.66,75.66 | +| plaything | 19.94,19.91,19.9,20.03,20.02,20.06,20.11,20.1,20.12,20.23,19.95 | +| swimming pool | 72.72,72.69,72.7,72.59,72.63,72.52,72.57,72.49,72.5,72.55,72.39 | +| stool | 43.53,43.55,43.58,43.57,43.52,43.55,43.55,43.5,43.51,43.44,43.43 | +| barrel | 43.54,43.06,43.6,43.12,43.32,42.85,43.41,43.13,42.79,43.33,42.93 | +| basket | 24.73,24.69,24.72,24.7,24.71,24.69,24.7,24.7,24.72,24.72,24.71 | +| waterfall | 47.57,47.48,47.54,47.45,47.52,47.52,47.48,47.47,47.43,47.42,47.45 | +| tent | 94.81,94.84,94.85,94.84,94.84,94.84,94.86,94.85,94.85,94.87,94.85 | +| bag | 16.09,16.16,16.27,16.22,16.32,16.24,16.41,16.49,16.46,16.59,16.56 | +| minibike | 61.98,61.99,61.91,61.91,61.92,61.93,61.9,61.92,61.83,61.87,61.83 | +| cradle | 84.02,84.02,84.06,84.05,84.03,84.05,84.06,84.04,84.04,84.05,84.04 | +| oven | 47.1,47.1,47.18,47.14,47.17,47.2,47.1,47.24,47.2,47.22,47.15 | +| ball | 45.97,45.97,46.12,46.22,46.22,46.13,46.21,46.15,46.22,46.28,46.21 | +| food | 53.81,53.86,53.95,53.94,54.08,54.13,54.12,54.29,54.28,54.43,54.42 | +| step | 6.65,6.66,6.6,6.56,6.49,6.41,6.37,6.31,6.25,6.19,6.16 | +| tank | 52.6,52.49,52.55,52.48,52.56,52.64,52.53,52.63,52.64,52.53,52.53 | +| trade name | 26.99,26.99,26.96,26.97,26.9,26.89,26.94,26.82,26.87,26.79,26.92 | +| microwave | 70.66,70.63,70.69,70.75,70.83,70.85,70.79,70.86,70.85,70.91,70.9 | +| pot | 29.73,29.73,29.73,29.75,29.77,29.71,29.72,29.76,29.74,29.76,29.73 | +| animal | 54.35,54.29,54.26,54.28,54.29,54.28,54.25,54.25,54.25,54.26,54.25 | +| bicycle | 54.75,54.69,54.76,54.66,54.72,54.7,54.72,54.72,54.74,54.73,54.72 | +| lake | 57.54,57.55,57.54,57.57,57.58,57.57,57.6,57.59,57.6,57.61,57.58 | +| dishwasher | 66.1,66.13,66.12,66.24,66.24,66.29,66.36,66.33,66.3,66.32,66.38 | +| screen | 68.45,68.36,68.22,68.23,68.27,68.41,68.39,68.35,68.36,68.41,68.49 | +| blanket | 17.29,17.27,17.45,17.48,17.42,17.58,17.51,17.57,17.64,17.64,17.74 | +| sculpture | 59.69,59.57,59.63,59.58,59.47,59.55,59.49,59.51,59.51,59.41,59.64 | +| hood | 57.89,58.03,57.95,58.07,58.01,58.0,58.19,58.09,58.14,58.22,58.19 | +| sconce | 44.21,44.33,44.18,44.29,44.31,44.23,44.32,44.31,44.34,44.38,44.35 | +| vase | 37.42,37.41,37.41,37.45,37.35,37.31,37.33,37.38,37.36,37.34,37.32 | +| traffic light | 32.75,32.67,32.7,32.74,32.75,32.74,32.71,32.77,32.77,32.76,32.79 | +| tray | 8.07,8.08,8.21,8.2,8.29,8.42,8.37,8.4,8.52,8.53,8.6 | +| ashcan | 40.5,40.47,40.6,40.55,40.49,40.59,40.54,40.61,40.59,40.58,40.66 | +| fan | 57.95,57.98,57.96,57.96,58.02,58.0,58.04,58.07,58.01,58.02,58.05 | +| pier | 51.08,51.22,51.42,51.54,51.43,51.43,51.6,51.71,51.68,51.71,51.7 | +| crt screen | 10.7,10.75,10.78,10.8,10.81,10.81,10.83,10.88,10.89,10.9,10.9 | +| plate | 53.13,53.06,53.14,53.09,53.2,53.11,53.11,53.07,53.08,53.05,53.05 | +| monitor | 19.26,19.27,19.22,19.29,19.41,19.38,19.48,19.49,19.44,19.55,19.53 | +| bulletin board | 39.28,39.28,39.34,39.41,39.44,39.45,39.52,39.59,39.7,39.7,39.62 | +| shower | 2.04,2.07,2.1,2.07,2.07,2.06,2.05,2.07,2.06,2.07,2.06 | +| radiator | 59.37,59.44,59.41,59.32,59.43,59.41,59.36,59.38,59.47,59.5,59.55 | +| glass | 13.04,13.03,13.02,13.09,12.99,13.03,12.99,13.06,13.04,13.03,13.02 | +| clock | 36.77,36.67,36.69,36.72,36.87,36.86,36.98,36.81,36.83,36.87,36.72 | +| flag | 33.13,33.08,33.06,33.03,33.02,32.99,32.96,32.94,32.98,32.89,32.87 | ++---------------------+-------------------------------------------------------------------+ +2023-03-04 09:53:31,907 - mmseg - INFO - Summary: +2023-03-04 09:53:31,907 - mmseg - INFO - ++-------------------------------------------------------------------+ +| mIoU 0,10,20,30,40,50,60,70,80,90,99 | ++-------------------------------------------------------------------+ +| 48.83,48.83,48.84,48.84,48.84,48.83,48.84,48.84,48.84,48.84,48.84 | ++-------------------------------------------------------------------+ +2023-03-04 09:53:31,943 - mmseg - INFO - The previous best checkpoint /mnt/petrelfs/laizeqiang/mmseg-baseline/work_dirs2/ablation_segformer_mit_b2_segformer_head_unet_fc_small_multi_step_ade_pretrained_freeze_embed_160k_ade20k151_finetune_ema_winit/best_mIoU_iter_128000.pth was removed +2023-03-04 09:53:32,877 - mmseg - INFO - Now best checkpoint is saved as best_mIoU_iter_144000.pth. +2023-03-04 09:53:32,878 - mmseg - INFO - Best mIoU is 0.4884 at 144000 iter. +2023-03-04 09:53:32,878 - mmseg - INFO - Exp name: ablation_segformer_mit_b2_segformer_head_unet_fc_small_multi_step_ade_pretrained_freeze_embed_160k_ade20k151_finetune_ema_winit.py +2023-03-04 09:53:32,878 - mmseg - INFO - Iter(val) [250] mIoU: [0.4883, 0.4883, 0.4884, 0.4884, 0.4884, 0.4883, 0.4884, 0.4884, 0.4884, 0.4884, 0.4884], copy_paste: 48.83,48.83,48.84,48.84,48.84,48.83,48.84,48.84,48.84,48.84,48.84 +2023-03-04 09:53:32,884 - mmseg - INFO - Swap parameters (before train) before iter [144001] +2023-03-04 09:53:41,755 - mmseg - INFO - Iter [144050/160000] lr: 1.172e-06, eta: 0:57:45, time: 13.230, data_time: 13.060, memory: 52541, decode.loss_ce: 0.1858, decode.acc_seg: 92.2919, loss: 0.1858 +2023-03-04 09:53:50,542 - mmseg - INFO - Iter [144100/160000] lr: 1.172e-06, eta: 0:57:34, time: 0.176, data_time: 0.008, memory: 52541, decode.loss_ce: 0.1783, decode.acc_seg: 92.5260, loss: 0.1783 +2023-03-04 09:53:59,147 - mmseg - INFO - Iter [144150/160000] lr: 1.172e-06, eta: 0:57:23, time: 0.172, data_time: 0.007, memory: 52541, decode.loss_ce: 0.1783, decode.acc_seg: 92.5436, loss: 0.1783 +2023-03-04 09:54:07,672 - mmseg - INFO - Iter [144200/160000] lr: 1.172e-06, eta: 0:57:12, time: 0.170, data_time: 0.007, memory: 52541, decode.loss_ce: 0.1872, decode.acc_seg: 92.1509, loss: 0.1872 +2023-03-04 09:54:16,235 - mmseg - INFO - Iter [144250/160000] lr: 1.172e-06, eta: 0:57:01, time: 0.171, data_time: 0.007, memory: 52541, decode.loss_ce: 0.1885, decode.acc_seg: 92.2092, loss: 0.1885 +2023-03-04 09:54:25,066 - mmseg - INFO - Iter [144300/160000] lr: 1.172e-06, eta: 0:56:50, time: 0.176, data_time: 0.008, memory: 52541, decode.loss_ce: 0.1838, decode.acc_seg: 92.3667, loss: 0.1838 +2023-03-04 09:54:33,472 - mmseg - INFO - Iter [144350/160000] lr: 1.172e-06, eta: 0:56:38, time: 0.168, data_time: 0.007, memory: 52541, decode.loss_ce: 0.1784, decode.acc_seg: 92.5791, loss: 0.1784 +2023-03-04 09:54:42,259 - mmseg - INFO - Iter [144400/160000] lr: 1.172e-06, eta: 0:56:27, time: 0.176, data_time: 0.007, memory: 52541, decode.loss_ce: 0.1829, decode.acc_seg: 92.3702, loss: 0.1829 +2023-03-04 09:54:50,713 - mmseg - INFO - Iter [144450/160000] lr: 1.172e-06, eta: 0:56:16, time: 0.169, data_time: 0.008, memory: 52541, decode.loss_ce: 0.1856, decode.acc_seg: 92.5233, loss: 0.1856 +2023-03-04 09:55:01,635 - mmseg - INFO - Iter [144500/160000] lr: 1.172e-06, eta: 0:56:05, time: 0.218, data_time: 0.054, memory: 52541, decode.loss_ce: 0.1916, decode.acc_seg: 92.1207, loss: 0.1916 +2023-03-04 09:55:10,182 - mmseg - INFO - Iter [144550/160000] lr: 1.172e-06, eta: 0:55:54, time: 0.171, data_time: 0.007, memory: 52541, decode.loss_ce: 0.1813, decode.acc_seg: 92.5118, loss: 0.1813 +2023-03-04 09:55:18,826 - mmseg - INFO - Iter [144600/160000] lr: 1.172e-06, eta: 0:55:43, time: 0.173, data_time: 0.007, memory: 52541, decode.loss_ce: 0.1828, decode.acc_seg: 92.5675, loss: 0.1828 +2023-03-04 09:55:27,353 - mmseg - INFO - Iter [144650/160000] lr: 1.172e-06, eta: 0:55:32, time: 0.170, data_time: 0.007, memory: 52541, decode.loss_ce: 0.1887, decode.acc_seg: 92.3328, loss: 0.1887 +2023-03-04 09:55:36,396 - mmseg - INFO - Iter [144700/160000] lr: 1.172e-06, eta: 0:55:21, time: 0.181, data_time: 0.007, memory: 52541, decode.loss_ce: 0.1883, decode.acc_seg: 92.1955, loss: 0.1883 +2023-03-04 09:55:44,930 - mmseg - INFO - Iter [144750/160000] lr: 1.172e-06, eta: 0:55:10, time: 0.171, data_time: 0.007, memory: 52541, decode.loss_ce: 0.1788, decode.acc_seg: 92.5689, loss: 0.1788 +2023-03-04 09:55:53,204 - mmseg - INFO - Iter [144800/160000] lr: 1.172e-06, eta: 0:54:59, time: 0.165, data_time: 0.007, memory: 52541, decode.loss_ce: 0.1888, decode.acc_seg: 92.2389, loss: 0.1888 +2023-03-04 09:56:01,573 - mmseg - INFO - Iter [144850/160000] lr: 1.172e-06, eta: 0:54:48, time: 0.167, data_time: 0.007, memory: 52541, decode.loss_ce: 0.1868, decode.acc_seg: 92.2481, loss: 0.1868 +2023-03-04 09:56:10,496 - mmseg - INFO - Iter [144900/160000] lr: 1.172e-06, eta: 0:54:37, time: 0.178, data_time: 0.007, memory: 52541, decode.loss_ce: 0.1825, decode.acc_seg: 92.5896, loss: 0.1825 +2023-03-04 09:56:19,350 - mmseg - INFO - Iter [144950/160000] lr: 1.172e-06, eta: 0:54:26, time: 0.177, data_time: 0.008, memory: 52541, decode.loss_ce: 0.1832, decode.acc_seg: 92.4414, loss: 0.1832 +2023-03-04 09:56:27,734 - mmseg - INFO - Exp name: ablation_segformer_mit_b2_segformer_head_unet_fc_small_multi_step_ade_pretrained_freeze_embed_160k_ade20k151_finetune_ema_winit.py +2023-03-04 09:56:27,735 - mmseg - INFO - Iter [145000/160000] lr: 1.172e-06, eta: 0:54:15, time: 0.168, data_time: 0.007, memory: 52541, decode.loss_ce: 0.1855, decode.acc_seg: 92.2147, loss: 0.1855 +2023-03-04 09:56:36,239 - mmseg - INFO - Iter [145050/160000] lr: 1.172e-06, eta: 0:54:03, time: 0.170, data_time: 0.007, memory: 52541, decode.loss_ce: 0.1860, decode.acc_seg: 92.4060, loss: 0.1860 +2023-03-04 09:56:45,064 - mmseg - INFO - Iter [145100/160000] lr: 1.172e-06, eta: 0:53:52, time: 0.177, data_time: 0.007, memory: 52541, decode.loss_ce: 0.1853, decode.acc_seg: 92.4795, loss: 0.1853 +2023-03-04 09:56:56,346 - mmseg - INFO - Iter [145150/160000] lr: 1.172e-06, eta: 0:53:42, time: 0.226, data_time: 0.056, memory: 52541, decode.loss_ce: 0.1817, decode.acc_seg: 92.5638, loss: 0.1817 +2023-03-04 09:57:05,140 - mmseg - INFO - Iter [145200/160000] lr: 1.172e-06, eta: 0:53:31, time: 0.176, data_time: 0.008, memory: 52541, decode.loss_ce: 0.1827, decode.acc_seg: 92.4418, loss: 0.1827 +2023-03-04 09:57:14,155 - mmseg - INFO - Iter [145250/160000] lr: 1.172e-06, eta: 0:53:19, time: 0.180, data_time: 0.007, memory: 52541, decode.loss_ce: 0.1861, decode.acc_seg: 92.3026, loss: 0.1861 +2023-03-04 09:57:23,168 - mmseg - INFO - Iter [145300/160000] lr: 1.172e-06, eta: 0:53:08, time: 0.180, data_time: 0.007, memory: 52541, decode.loss_ce: 0.1789, decode.acc_seg: 92.5880, loss: 0.1789 +2023-03-04 09:57:31,894 - mmseg - INFO - Iter [145350/160000] lr: 1.172e-06, eta: 0:52:57, time: 0.175, data_time: 0.007, memory: 52541, decode.loss_ce: 0.1823, decode.acc_seg: 92.3800, loss: 0.1823 +2023-03-04 09:57:40,570 - mmseg - INFO - Iter [145400/160000] lr: 1.172e-06, eta: 0:52:46, time: 0.174, data_time: 0.007, memory: 52541, decode.loss_ce: 0.1882, decode.acc_seg: 92.3480, loss: 0.1882 +2023-03-04 09:57:49,179 - mmseg - INFO - Iter [145450/160000] lr: 1.172e-06, eta: 0:52:35, time: 0.172, data_time: 0.007, memory: 52541, decode.loss_ce: 0.1850, decode.acc_seg: 92.3132, loss: 0.1850 +2023-03-04 09:57:57,653 - mmseg - INFO - Iter [145500/160000] lr: 1.172e-06, eta: 0:52:24, time: 0.169, data_time: 0.007, memory: 52541, decode.loss_ce: 0.1855, decode.acc_seg: 92.4698, loss: 0.1855 +2023-03-04 09:58:06,319 - mmseg - INFO - Iter [145550/160000] lr: 1.172e-06, eta: 0:52:13, time: 0.174, data_time: 0.008, memory: 52541, decode.loss_ce: 0.1900, decode.acc_seg: 92.0719, loss: 0.1900 +2023-03-04 09:58:15,325 - mmseg - INFO - Iter [145600/160000] lr: 1.172e-06, eta: 0:52:02, time: 0.180, data_time: 0.009, memory: 52541, decode.loss_ce: 0.1881, decode.acc_seg: 92.3412, loss: 0.1881 +2023-03-04 09:58:23,981 - mmseg - INFO - Iter [145650/160000] lr: 1.172e-06, eta: 0:51:51, time: 0.173, data_time: 0.007, memory: 52541, decode.loss_ce: 0.1937, decode.acc_seg: 92.0775, loss: 0.1937 +2023-03-04 09:58:33,397 - mmseg - INFO - Iter [145700/160000] lr: 1.172e-06, eta: 0:51:40, time: 0.188, data_time: 0.006, memory: 52541, decode.loss_ce: 0.1879, decode.acc_seg: 92.3600, loss: 0.1879 +2023-03-04 09:58:41,986 - mmseg - INFO - Iter [145750/160000] lr: 1.172e-06, eta: 0:51:29, time: 0.172, data_time: 0.008, memory: 52541, decode.loss_ce: 0.1791, decode.acc_seg: 92.6696, loss: 0.1791 +2023-03-04 09:58:53,117 - mmseg - INFO - Iter [145800/160000] lr: 1.172e-06, eta: 0:51:18, time: 0.223, data_time: 0.055, memory: 52541, decode.loss_ce: 0.1793, decode.acc_seg: 92.5064, loss: 0.1793 +2023-03-04 09:59:01,773 - mmseg - INFO - Iter [145850/160000] lr: 1.172e-06, eta: 0:51:07, time: 0.173, data_time: 0.008, memory: 52541, decode.loss_ce: 0.1857, decode.acc_seg: 92.3113, loss: 0.1857 +2023-03-04 09:59:10,125 - mmseg - INFO - Iter [145900/160000] lr: 1.172e-06, eta: 0:50:56, time: 0.167, data_time: 0.007, memory: 52541, decode.loss_ce: 0.1893, decode.acc_seg: 92.2346, loss: 0.1893 +2023-03-04 09:59:18,840 - mmseg - INFO - Iter [145950/160000] lr: 1.172e-06, eta: 0:50:45, time: 0.174, data_time: 0.007, memory: 52541, decode.loss_ce: 0.1884, decode.acc_seg: 92.2751, loss: 0.1884 +2023-03-04 09:59:27,203 - mmseg - INFO - Exp name: ablation_segformer_mit_b2_segformer_head_unet_fc_small_multi_step_ade_pretrained_freeze_embed_160k_ade20k151_finetune_ema_winit.py +2023-03-04 09:59:27,203 - mmseg - INFO - Iter [146000/160000] lr: 1.172e-06, eta: 0:50:34, time: 0.167, data_time: 0.007, memory: 52541, decode.loss_ce: 0.1883, decode.acc_seg: 92.2879, loss: 0.1883 +2023-03-04 09:59:35,721 - mmseg - INFO - Iter [146050/160000] lr: 1.172e-06, eta: 0:50:23, time: 0.170, data_time: 0.007, memory: 52541, decode.loss_ce: 0.1834, decode.acc_seg: 92.4715, loss: 0.1834 +2023-03-04 09:59:44,158 - mmseg - INFO - Iter [146100/160000] lr: 1.172e-06, eta: 0:50:12, time: 0.169, data_time: 0.007, memory: 52541, decode.loss_ce: 0.1807, decode.acc_seg: 92.6141, loss: 0.1807 +2023-03-04 09:59:52,659 - mmseg - INFO - Iter [146150/160000] lr: 1.172e-06, eta: 0:50:01, time: 0.170, data_time: 0.007, memory: 52541, decode.loss_ce: 0.1858, decode.acc_seg: 92.2618, loss: 0.1858 +2023-03-04 10:00:01,188 - mmseg - INFO - Iter [146200/160000] lr: 1.172e-06, eta: 0:49:50, time: 0.171, data_time: 0.007, memory: 52541, decode.loss_ce: 0.1903, decode.acc_seg: 92.2398, loss: 0.1903 +2023-03-04 10:00:10,031 - mmseg - INFO - Iter [146250/160000] lr: 1.172e-06, eta: 0:49:39, time: 0.177, data_time: 0.008, memory: 52541, decode.loss_ce: 0.1825, decode.acc_seg: 92.4032, loss: 0.1825 +2023-03-04 10:00:18,478 - mmseg - INFO - Iter [146300/160000] lr: 1.172e-06, eta: 0:49:28, time: 0.169, data_time: 0.007, memory: 52541, decode.loss_ce: 0.1878, decode.acc_seg: 92.2036, loss: 0.1878 +2023-03-04 10:00:26,742 - mmseg - INFO - Iter [146350/160000] lr: 1.172e-06, eta: 0:49:17, time: 0.165, data_time: 0.007, memory: 52541, decode.loss_ce: 0.1884, decode.acc_seg: 92.3865, loss: 0.1884 +2023-03-04 10:00:38,075 - mmseg - INFO - Iter [146400/160000] lr: 1.172e-06, eta: 0:49:06, time: 0.227, data_time: 0.055, memory: 52541, decode.loss_ce: 0.1796, decode.acc_seg: 92.4748, loss: 0.1796 +2023-03-04 10:00:46,843 - mmseg - INFO - Iter [146450/160000] lr: 1.172e-06, eta: 0:48:55, time: 0.175, data_time: 0.006, memory: 52541, decode.loss_ce: 0.1815, decode.acc_seg: 92.4502, loss: 0.1815 +2023-03-04 10:00:55,365 - mmseg - INFO - Iter [146500/160000] lr: 1.172e-06, eta: 0:48:44, time: 0.171, data_time: 0.007, memory: 52541, decode.loss_ce: 0.1801, decode.acc_seg: 92.5822, loss: 0.1801 +2023-03-04 10:01:03,790 - mmseg - INFO - Iter [146550/160000] lr: 1.172e-06, eta: 0:48:33, time: 0.168, data_time: 0.007, memory: 52541, decode.loss_ce: 0.1797, decode.acc_seg: 92.4967, loss: 0.1797 +2023-03-04 10:01:12,109 - mmseg - INFO - Iter [146600/160000] lr: 1.172e-06, eta: 0:48:22, time: 0.166, data_time: 0.007, memory: 52541, decode.loss_ce: 0.1874, decode.acc_seg: 92.3664, loss: 0.1874 +2023-03-04 10:01:20,528 - mmseg - INFO - Iter [146650/160000] lr: 1.172e-06, eta: 0:48:11, time: 0.168, data_time: 0.007, memory: 52541, decode.loss_ce: 0.1880, decode.acc_seg: 92.2222, loss: 0.1880 +2023-03-04 10:01:29,403 - mmseg - INFO - Iter [146700/160000] lr: 1.172e-06, eta: 0:48:00, time: 0.177, data_time: 0.007, memory: 52541, decode.loss_ce: 0.1840, decode.acc_seg: 92.5161, loss: 0.1840 +2023-03-04 10:01:38,139 - mmseg - INFO - Iter [146750/160000] lr: 1.172e-06, eta: 0:47:49, time: 0.175, data_time: 0.008, memory: 52541, decode.loss_ce: 0.1842, decode.acc_seg: 92.4563, loss: 0.1842 +2023-03-04 10:01:46,555 - mmseg - INFO - Iter [146800/160000] lr: 1.172e-06, eta: 0:47:37, time: 0.168, data_time: 0.007, memory: 52541, decode.loss_ce: 0.1903, decode.acc_seg: 92.2021, loss: 0.1903 +2023-03-04 10:01:55,038 - mmseg - INFO - Iter [146850/160000] lr: 1.172e-06, eta: 0:47:26, time: 0.169, data_time: 0.007, memory: 52541, decode.loss_ce: 0.1841, decode.acc_seg: 92.3686, loss: 0.1841 +2023-03-04 10:02:03,615 - mmseg - INFO - Iter [146900/160000] lr: 1.172e-06, eta: 0:47:15, time: 0.172, data_time: 0.007, memory: 52541, decode.loss_ce: 0.1837, decode.acc_seg: 92.3600, loss: 0.1837 +2023-03-04 10:02:12,030 - mmseg - INFO - Iter [146950/160000] lr: 1.172e-06, eta: 0:47:04, time: 0.169, data_time: 0.007, memory: 52541, decode.loss_ce: 0.1854, decode.acc_seg: 92.3674, loss: 0.1854 +2023-03-04 10:02:20,259 - mmseg - INFO - Exp name: ablation_segformer_mit_b2_segformer_head_unet_fc_small_multi_step_ade_pretrained_freeze_embed_160k_ade20k151_finetune_ema_winit.py +2023-03-04 10:02:20,259 - mmseg - INFO - Iter [147000/160000] lr: 1.172e-06, eta: 0:46:53, time: 0.164, data_time: 0.007, memory: 52541, decode.loss_ce: 0.1771, decode.acc_seg: 92.7544, loss: 0.1771 +2023-03-04 10:02:31,376 - mmseg - INFO - Iter [147050/160000] lr: 1.172e-06, eta: 0:46:43, time: 0.223, data_time: 0.056, memory: 52541, decode.loss_ce: 0.1872, decode.acc_seg: 92.4386, loss: 0.1872 +2023-03-04 10:02:40,026 - mmseg - INFO - Iter [147100/160000] lr: 1.172e-06, eta: 0:46:32, time: 0.173, data_time: 0.007, memory: 52541, decode.loss_ce: 0.1758, decode.acc_seg: 92.6872, loss: 0.1758 +2023-03-04 10:02:48,518 - mmseg - INFO - Iter [147150/160000] lr: 1.172e-06, eta: 0:46:20, time: 0.170, data_time: 0.007, memory: 52541, decode.loss_ce: 0.1862, decode.acc_seg: 92.2859, loss: 0.1862 +2023-03-04 10:02:57,139 - mmseg - INFO - Iter [147200/160000] lr: 1.172e-06, eta: 0:46:09, time: 0.172, data_time: 0.007, memory: 52541, decode.loss_ce: 0.1851, decode.acc_seg: 92.3506, loss: 0.1851 +2023-03-04 10:03:05,681 - mmseg - INFO - Iter [147250/160000] lr: 1.172e-06, eta: 0:45:58, time: 0.171, data_time: 0.007, memory: 52541, decode.loss_ce: 0.1831, decode.acc_seg: 92.3865, loss: 0.1831 +2023-03-04 10:03:14,385 - mmseg - INFO - Iter [147300/160000] lr: 1.172e-06, eta: 0:45:47, time: 0.174, data_time: 0.007, memory: 52541, decode.loss_ce: 0.1888, decode.acc_seg: 92.2363, loss: 0.1888 +2023-03-04 10:03:23,009 - mmseg - INFO - Iter [147350/160000] lr: 1.172e-06, eta: 0:45:36, time: 0.172, data_time: 0.007, memory: 52541, decode.loss_ce: 0.1900, decode.acc_seg: 92.2592, loss: 0.1900 +2023-03-04 10:03:31,848 - mmseg - INFO - Iter [147400/160000] lr: 1.172e-06, eta: 0:45:25, time: 0.177, data_time: 0.007, memory: 52541, decode.loss_ce: 0.1894, decode.acc_seg: 92.3349, loss: 0.1894 +2023-03-04 10:03:40,162 - mmseg - INFO - Iter [147450/160000] lr: 1.172e-06, eta: 0:45:14, time: 0.166, data_time: 0.007, memory: 52541, decode.loss_ce: 0.1833, decode.acc_seg: 92.4515, loss: 0.1833 +2023-03-04 10:03:49,398 - mmseg - INFO - Iter [147500/160000] lr: 1.172e-06, eta: 0:45:03, time: 0.185, data_time: 0.006, memory: 52541, decode.loss_ce: 0.1891, decode.acc_seg: 92.2966, loss: 0.1891 +2023-03-04 10:03:58,253 - mmseg - INFO - Iter [147550/160000] lr: 1.172e-06, eta: 0:44:52, time: 0.177, data_time: 0.007, memory: 52541, decode.loss_ce: 0.1811, decode.acc_seg: 92.4540, loss: 0.1811 +2023-03-04 10:04:07,204 - mmseg - INFO - Iter [147600/160000] lr: 1.172e-06, eta: 0:44:42, time: 0.179, data_time: 0.007, memory: 52541, decode.loss_ce: 0.1893, decode.acc_seg: 92.1635, loss: 0.1893 +2023-03-04 10:04:15,785 - mmseg - INFO - Iter [147650/160000] lr: 1.172e-06, eta: 0:44:31, time: 0.172, data_time: 0.007, memory: 52541, decode.loss_ce: 0.1803, decode.acc_seg: 92.6201, loss: 0.1803 +2023-03-04 10:04:27,193 - mmseg - INFO - Iter [147700/160000] lr: 1.172e-06, eta: 0:44:20, time: 0.228, data_time: 0.054, memory: 52541, decode.loss_ce: 0.1864, decode.acc_seg: 92.2782, loss: 0.1864 +2023-03-04 10:04:35,868 - mmseg - INFO - Iter [147750/160000] lr: 1.172e-06, eta: 0:44:09, time: 0.173, data_time: 0.007, memory: 52541, decode.loss_ce: 0.1846, decode.acc_seg: 92.3614, loss: 0.1846 +2023-03-04 10:04:44,267 - mmseg - INFO - Iter [147800/160000] lr: 1.172e-06, eta: 0:43:58, time: 0.168, data_time: 0.007, memory: 52541, decode.loss_ce: 0.1859, decode.acc_seg: 92.3744, loss: 0.1859 +2023-03-04 10:04:52,670 - mmseg - INFO - Iter [147850/160000] lr: 1.172e-06, eta: 0:43:47, time: 0.168, data_time: 0.007, memory: 52541, decode.loss_ce: 0.1821, decode.acc_seg: 92.5493, loss: 0.1821 +2023-03-04 10:05:01,000 - mmseg - INFO - Iter [147900/160000] lr: 1.172e-06, eta: 0:43:36, time: 0.167, data_time: 0.007, memory: 52541, decode.loss_ce: 0.1847, decode.acc_seg: 92.3116, loss: 0.1847 +2023-03-04 10:05:09,482 - mmseg - INFO - Iter [147950/160000] lr: 1.172e-06, eta: 0:43:25, time: 0.169, data_time: 0.007, memory: 52541, decode.loss_ce: 0.1948, decode.acc_seg: 92.1343, loss: 0.1948 +2023-03-04 10:05:17,867 - mmseg - INFO - Exp name: ablation_segformer_mit_b2_segformer_head_unet_fc_small_multi_step_ade_pretrained_freeze_embed_160k_ade20k151_finetune_ema_winit.py +2023-03-04 10:05:17,867 - mmseg - INFO - Iter [148000/160000] lr: 1.172e-06, eta: 0:43:14, time: 0.168, data_time: 0.007, memory: 52541, decode.loss_ce: 0.1817, decode.acc_seg: 92.5368, loss: 0.1817 +2023-03-04 10:05:26,390 - mmseg - INFO - Iter [148050/160000] lr: 1.172e-06, eta: 0:43:03, time: 0.170, data_time: 0.007, memory: 52541, decode.loss_ce: 0.1810, decode.acc_seg: 92.5568, loss: 0.1810 +2023-03-04 10:05:34,760 - mmseg - INFO - Iter [148100/160000] lr: 1.172e-06, eta: 0:42:52, time: 0.167, data_time: 0.007, memory: 52541, decode.loss_ce: 0.1783, decode.acc_seg: 92.6438, loss: 0.1783 +2023-03-04 10:05:43,433 - mmseg - INFO - Iter [148150/160000] lr: 1.172e-06, eta: 0:42:41, time: 0.173, data_time: 0.007, memory: 52541, decode.loss_ce: 0.1822, decode.acc_seg: 92.5476, loss: 0.1822 +2023-03-04 10:05:52,108 - mmseg - INFO - Iter [148200/160000] lr: 1.172e-06, eta: 0:42:30, time: 0.174, data_time: 0.007, memory: 52541, decode.loss_ce: 0.1801, decode.acc_seg: 92.6185, loss: 0.1801 +2023-03-04 10:06:00,439 - mmseg - INFO - Iter [148250/160000] lr: 1.172e-06, eta: 0:42:19, time: 0.167, data_time: 0.007, memory: 52541, decode.loss_ce: 0.1827, decode.acc_seg: 92.3168, loss: 0.1827 +2023-03-04 10:06:11,207 - mmseg - INFO - Iter [148300/160000] lr: 1.172e-06, eta: 0:42:08, time: 0.215, data_time: 0.055, memory: 52541, decode.loss_ce: 0.1857, decode.acc_seg: 92.4185, loss: 0.1857 +2023-03-04 10:06:20,004 - mmseg - INFO - Iter [148350/160000] lr: 1.172e-06, eta: 0:41:57, time: 0.176, data_time: 0.007, memory: 52541, decode.loss_ce: 0.1818, decode.acc_seg: 92.4499, loss: 0.1818 +2023-03-04 10:06:28,488 - mmseg - INFO - Iter [148400/160000] lr: 1.172e-06, eta: 0:41:46, time: 0.170, data_time: 0.007, memory: 52541, decode.loss_ce: 0.1916, decode.acc_seg: 92.1779, loss: 0.1916 +2023-03-04 10:06:36,802 - mmseg - INFO - Iter [148450/160000] lr: 1.172e-06, eta: 0:41:35, time: 0.166, data_time: 0.007, memory: 52541, decode.loss_ce: 0.1858, decode.acc_seg: 92.2961, loss: 0.1858 +2023-03-04 10:06:45,520 - mmseg - INFO - Iter [148500/160000] lr: 1.172e-06, eta: 0:41:24, time: 0.174, data_time: 0.007, memory: 52541, decode.loss_ce: 0.1829, decode.acc_seg: 92.5390, loss: 0.1829 +2023-03-04 10:06:54,075 - mmseg - INFO - Iter [148550/160000] lr: 1.172e-06, eta: 0:41:13, time: 0.171, data_time: 0.008, memory: 52541, decode.loss_ce: 0.1930, decode.acc_seg: 92.0995, loss: 0.1930 +2023-03-04 10:07:03,081 - mmseg - INFO - Iter [148600/160000] lr: 1.172e-06, eta: 0:41:02, time: 0.180, data_time: 0.006, memory: 52541, decode.loss_ce: 0.1869, decode.acc_seg: 92.3569, loss: 0.1869 +2023-03-04 10:07:11,856 - mmseg - INFO - Iter [148650/160000] lr: 1.172e-06, eta: 0:40:51, time: 0.176, data_time: 0.007, memory: 52541, decode.loss_ce: 0.1810, decode.acc_seg: 92.5364, loss: 0.1810 +2023-03-04 10:07:20,712 - mmseg - INFO - Iter [148700/160000] lr: 1.172e-06, eta: 0:40:40, time: 0.177, data_time: 0.006, memory: 52541, decode.loss_ce: 0.1730, decode.acc_seg: 92.7745, loss: 0.1730 +2023-03-04 10:07:29,033 - mmseg - INFO - Iter [148750/160000] lr: 1.172e-06, eta: 0:40:29, time: 0.166, data_time: 0.007, memory: 52541, decode.loss_ce: 0.1847, decode.acc_seg: 92.3050, loss: 0.1847 +2023-03-04 10:07:37,683 - mmseg - INFO - Iter [148800/160000] lr: 1.172e-06, eta: 0:40:18, time: 0.173, data_time: 0.008, memory: 52541, decode.loss_ce: 0.1845, decode.acc_seg: 92.3594, loss: 0.1845 +2023-03-04 10:07:46,436 - mmseg - INFO - Iter [148850/160000] lr: 1.172e-06, eta: 0:40:07, time: 0.175, data_time: 0.007, memory: 52541, decode.loss_ce: 0.1767, decode.acc_seg: 92.6535, loss: 0.1767 +2023-03-04 10:07:55,284 - mmseg - INFO - Iter [148900/160000] lr: 1.172e-06, eta: 0:39:56, time: 0.177, data_time: 0.007, memory: 52541, decode.loss_ce: 0.1825, decode.acc_seg: 92.7032, loss: 0.1825 +2023-03-04 10:08:06,194 - mmseg - INFO - Iter [148950/160000] lr: 1.172e-06, eta: 0:39:46, time: 0.218, data_time: 0.055, memory: 52541, decode.loss_ce: 0.1886, decode.acc_seg: 92.3123, loss: 0.1886 +2023-03-04 10:08:14,756 - mmseg - INFO - Exp name: ablation_segformer_mit_b2_segformer_head_unet_fc_small_multi_step_ade_pretrained_freeze_embed_160k_ade20k151_finetune_ema_winit.py +2023-03-04 10:08:14,756 - mmseg - INFO - Iter [149000/160000] lr: 1.172e-06, eta: 0:39:35, time: 0.171, data_time: 0.007, memory: 52541, decode.loss_ce: 0.1840, decode.acc_seg: 92.5383, loss: 0.1840 +2023-03-04 10:08:23,439 - mmseg - INFO - Iter [149050/160000] lr: 1.172e-06, eta: 0:39:24, time: 0.174, data_time: 0.007, memory: 52541, decode.loss_ce: 0.1848, decode.acc_seg: 92.4143, loss: 0.1848 +2023-03-04 10:08:32,029 - mmseg - INFO - Iter [149100/160000] lr: 1.172e-06, eta: 0:39:13, time: 0.172, data_time: 0.007, memory: 52541, decode.loss_ce: 0.1781, decode.acc_seg: 92.7158, loss: 0.1781 +2023-03-04 10:08:40,671 - mmseg - INFO - Iter [149150/160000] lr: 1.172e-06, eta: 0:39:02, time: 0.173, data_time: 0.007, memory: 52541, decode.loss_ce: 0.1884, decode.acc_seg: 92.2828, loss: 0.1884 +2023-03-04 10:08:49,588 - mmseg - INFO - Iter [149200/160000] lr: 1.172e-06, eta: 0:38:51, time: 0.178, data_time: 0.006, memory: 52541, decode.loss_ce: 0.1872, decode.acc_seg: 92.1616, loss: 0.1872 +2023-03-04 10:08:57,907 - mmseg - INFO - Iter [149250/160000] lr: 1.172e-06, eta: 0:38:40, time: 0.166, data_time: 0.007, memory: 52541, decode.loss_ce: 0.1868, decode.acc_seg: 92.3711, loss: 0.1868 +2023-03-04 10:09:06,582 - mmseg - INFO - Iter [149300/160000] lr: 1.172e-06, eta: 0:38:29, time: 0.173, data_time: 0.007, memory: 52541, decode.loss_ce: 0.1809, decode.acc_seg: 92.3659, loss: 0.1809 +2023-03-04 10:09:15,036 - mmseg - INFO - Iter [149350/160000] lr: 1.172e-06, eta: 0:38:18, time: 0.169, data_time: 0.007, memory: 52541, decode.loss_ce: 0.1822, decode.acc_seg: 92.4361, loss: 0.1822 +2023-03-04 10:09:23,544 - mmseg - INFO - Iter [149400/160000] lr: 1.172e-06, eta: 0:38:07, time: 0.170, data_time: 0.007, memory: 52541, decode.loss_ce: 0.1913, decode.acc_seg: 92.2698, loss: 0.1913 +2023-03-04 10:09:32,015 - mmseg - INFO - Iter [149450/160000] lr: 1.172e-06, eta: 0:37:56, time: 0.169, data_time: 0.007, memory: 52541, decode.loss_ce: 0.1858, decode.acc_seg: 92.5539, loss: 0.1858 +2023-03-04 10:09:40,932 - mmseg - INFO - Iter [149500/160000] lr: 1.172e-06, eta: 0:37:45, time: 0.179, data_time: 0.008, memory: 52541, decode.loss_ce: 0.1808, decode.acc_seg: 92.6074, loss: 0.1808 +2023-03-04 10:09:51,865 - mmseg - INFO - Iter [149550/160000] lr: 1.172e-06, eta: 0:37:34, time: 0.219, data_time: 0.052, memory: 52541, decode.loss_ce: 0.1863, decode.acc_seg: 92.3152, loss: 0.1863 +2023-03-04 10:10:00,217 - mmseg - INFO - Iter [149600/160000] lr: 1.172e-06, eta: 0:37:23, time: 0.167, data_time: 0.007, memory: 52541, decode.loss_ce: 0.1910, decode.acc_seg: 92.1913, loss: 0.1910 +2023-03-04 10:10:08,731 - mmseg - INFO - Iter [149650/160000] lr: 1.172e-06, eta: 0:37:12, time: 0.170, data_time: 0.007, memory: 52541, decode.loss_ce: 0.1854, decode.acc_seg: 92.2937, loss: 0.1854 +2023-03-04 10:10:17,161 - mmseg - INFO - Iter [149700/160000] lr: 1.172e-06, eta: 0:37:02, time: 0.168, data_time: 0.007, memory: 52541, decode.loss_ce: 0.1834, decode.acc_seg: 92.5189, loss: 0.1834 +2023-03-04 10:10:26,476 - mmseg - INFO - Iter [149750/160000] lr: 1.172e-06, eta: 0:36:51, time: 0.186, data_time: 0.008, memory: 52541, decode.loss_ce: 0.1845, decode.acc_seg: 92.4090, loss: 0.1845 +2023-03-04 10:10:35,185 - mmseg - INFO - Iter [149800/160000] lr: 1.172e-06, eta: 0:36:40, time: 0.174, data_time: 0.007, memory: 52541, decode.loss_ce: 0.1840, decode.acc_seg: 92.3549, loss: 0.1840 +2023-03-04 10:10:43,526 - mmseg - INFO - Iter [149850/160000] lr: 1.172e-06, eta: 0:36:29, time: 0.167, data_time: 0.007, memory: 52541, decode.loss_ce: 0.1875, decode.acc_seg: 92.3125, loss: 0.1875 +2023-03-04 10:10:52,084 - mmseg - INFO - Iter [149900/160000] lr: 1.172e-06, eta: 0:36:18, time: 0.171, data_time: 0.007, memory: 52541, decode.loss_ce: 0.1919, decode.acc_seg: 92.2037, loss: 0.1919 +2023-03-04 10:11:00,544 - mmseg - INFO - Iter [149950/160000] lr: 1.172e-06, eta: 0:36:07, time: 0.169, data_time: 0.007, memory: 52541, decode.loss_ce: 0.1850, decode.acc_seg: 92.4667, loss: 0.1850 +2023-03-04 10:11:08,893 - mmseg - INFO - Exp name: ablation_segformer_mit_b2_segformer_head_unet_fc_small_multi_step_ade_pretrained_freeze_embed_160k_ade20k151_finetune_ema_winit.py +2023-03-04 10:11:08,894 - mmseg - INFO - Iter [150000/160000] lr: 1.172e-06, eta: 0:35:56, time: 0.167, data_time: 0.007, memory: 52541, decode.loss_ce: 0.1749, decode.acc_seg: 92.6238, loss: 0.1749 +2023-03-04 10:11:17,355 - mmseg - INFO - Iter [150050/160000] lr: 1.172e-06, eta: 0:35:45, time: 0.169, data_time: 0.007, memory: 52541, decode.loss_ce: 0.1827, decode.acc_seg: 92.4243, loss: 0.1827 +2023-03-04 10:11:25,998 - mmseg - INFO - Iter [150100/160000] lr: 1.172e-06, eta: 0:35:34, time: 0.173, data_time: 0.007, memory: 52541, decode.loss_ce: 0.1819, decode.acc_seg: 92.5005, loss: 0.1819 +2023-03-04 10:11:34,499 - mmseg - INFO - Iter [150150/160000] lr: 1.172e-06, eta: 0:35:23, time: 0.170, data_time: 0.007, memory: 52541, decode.loss_ce: 0.1798, decode.acc_seg: 92.5886, loss: 0.1798 +2023-03-04 10:11:45,500 - mmseg - INFO - Iter [150200/160000] lr: 1.172e-06, eta: 0:35:12, time: 0.220, data_time: 0.057, memory: 52541, decode.loss_ce: 0.1901, decode.acc_seg: 92.2791, loss: 0.1901 +2023-03-04 10:11:54,345 - mmseg - INFO - Iter [150250/160000] lr: 1.172e-06, eta: 0:35:01, time: 0.177, data_time: 0.007, memory: 52541, decode.loss_ce: 0.1870, decode.acc_seg: 92.3566, loss: 0.1870 +2023-03-04 10:12:03,030 - mmseg - INFO - Iter [150300/160000] lr: 1.172e-06, eta: 0:34:51, time: 0.174, data_time: 0.007, memory: 52541, decode.loss_ce: 0.1786, decode.acc_seg: 92.6977, loss: 0.1786 +2023-03-04 10:12:11,482 - mmseg - INFO - Iter [150350/160000] lr: 1.172e-06, eta: 0:34:40, time: 0.169, data_time: 0.007, memory: 52541, decode.loss_ce: 0.1892, decode.acc_seg: 92.2347, loss: 0.1892 +2023-03-04 10:12:20,355 - mmseg - INFO - Iter [150400/160000] lr: 1.172e-06, eta: 0:34:29, time: 0.177, data_time: 0.008, memory: 52541, decode.loss_ce: 0.1887, decode.acc_seg: 92.2191, loss: 0.1887 +2023-03-04 10:12:28,555 - mmseg - INFO - Iter [150450/160000] lr: 1.172e-06, eta: 0:34:18, time: 0.164, data_time: 0.007, memory: 52541, decode.loss_ce: 0.1865, decode.acc_seg: 92.3103, loss: 0.1865 +2023-03-04 10:12:37,156 - mmseg - INFO - Iter [150500/160000] lr: 1.172e-06, eta: 0:34:07, time: 0.172, data_time: 0.007, memory: 52541, decode.loss_ce: 0.1825, decode.acc_seg: 92.5421, loss: 0.1825 +2023-03-04 10:12:45,572 - mmseg - INFO - Iter [150550/160000] lr: 1.172e-06, eta: 0:33:56, time: 0.168, data_time: 0.007, memory: 52541, decode.loss_ce: 0.1845, decode.acc_seg: 92.4126, loss: 0.1845 +2023-03-04 10:12:53,989 - mmseg - INFO - Iter [150600/160000] lr: 1.172e-06, eta: 0:33:45, time: 0.168, data_time: 0.007, memory: 52541, decode.loss_ce: 0.1764, decode.acc_seg: 92.6095, loss: 0.1764 +2023-03-04 10:13:02,292 - mmseg - INFO - Iter [150650/160000] lr: 1.172e-06, eta: 0:33:34, time: 0.166, data_time: 0.007, memory: 52541, decode.loss_ce: 0.1780, decode.acc_seg: 92.4473, loss: 0.1780 +2023-03-04 10:13:10,916 - mmseg - INFO - Iter [150700/160000] lr: 1.172e-06, eta: 0:33:23, time: 0.172, data_time: 0.007, memory: 52541, decode.loss_ce: 0.1864, decode.acc_seg: 92.2271, loss: 0.1864 +2023-03-04 10:13:19,231 - mmseg - INFO - Iter [150750/160000] lr: 1.172e-06, eta: 0:33:12, time: 0.166, data_time: 0.007, memory: 52541, decode.loss_ce: 0.1781, decode.acc_seg: 92.5435, loss: 0.1781 +2023-03-04 10:13:27,516 - mmseg - INFO - Iter [150800/160000] lr: 1.172e-06, eta: 0:33:01, time: 0.166, data_time: 0.007, memory: 52541, decode.loss_ce: 0.1845, decode.acc_seg: 92.4968, loss: 0.1845 +2023-03-04 10:13:38,259 - mmseg - INFO - Iter [150850/160000] lr: 1.172e-06, eta: 0:32:51, time: 0.215, data_time: 0.053, memory: 52541, decode.loss_ce: 0.1830, decode.acc_seg: 92.3790, loss: 0.1830 +2023-03-04 10:13:47,069 - mmseg - INFO - Iter [150900/160000] lr: 1.172e-06, eta: 0:32:40, time: 0.176, data_time: 0.007, memory: 52541, decode.loss_ce: 0.1803, decode.acc_seg: 92.5435, loss: 0.1803 +2023-03-04 10:13:55,701 - mmseg - INFO - Iter [150950/160000] lr: 1.172e-06, eta: 0:32:29, time: 0.173, data_time: 0.007, memory: 52541, decode.loss_ce: 0.1851, decode.acc_seg: 92.3829, loss: 0.1851 +2023-03-04 10:14:04,064 - mmseg - INFO - Exp name: ablation_segformer_mit_b2_segformer_head_unet_fc_small_multi_step_ade_pretrained_freeze_embed_160k_ade20k151_finetune_ema_winit.py +2023-03-04 10:14:04,065 - mmseg - INFO - Iter [151000/160000] lr: 1.172e-06, eta: 0:32:18, time: 0.167, data_time: 0.007, memory: 52541, decode.loss_ce: 0.1866, decode.acc_seg: 92.3125, loss: 0.1866 +2023-03-04 10:14:12,738 - mmseg - INFO - Iter [151050/160000] lr: 1.172e-06, eta: 0:32:07, time: 0.173, data_time: 0.006, memory: 52541, decode.loss_ce: 0.1876, decode.acc_seg: 92.3382, loss: 0.1876 +2023-03-04 10:14:21,324 - mmseg - INFO - Iter [151100/160000] lr: 1.172e-06, eta: 0:31:56, time: 0.172, data_time: 0.007, memory: 52541, decode.loss_ce: 0.1838, decode.acc_seg: 92.3902, loss: 0.1838 +2023-03-04 10:14:30,450 - mmseg - INFO - Iter [151150/160000] lr: 1.172e-06, eta: 0:31:45, time: 0.182, data_time: 0.006, memory: 52541, decode.loss_ce: 0.1866, decode.acc_seg: 92.3524, loss: 0.1866 +2023-03-04 10:14:38,789 - mmseg - INFO - Iter [151200/160000] lr: 1.172e-06, eta: 0:31:34, time: 0.167, data_time: 0.007, memory: 52541, decode.loss_ce: 0.1809, decode.acc_seg: 92.5460, loss: 0.1809 +2023-03-04 10:14:47,617 - mmseg - INFO - Iter [151250/160000] lr: 1.172e-06, eta: 0:31:23, time: 0.176, data_time: 0.007, memory: 52541, decode.loss_ce: 0.1859, decode.acc_seg: 92.3695, loss: 0.1859 +2023-03-04 10:14:56,255 - mmseg - INFO - Iter [151300/160000] lr: 1.172e-06, eta: 0:31:13, time: 0.173, data_time: 0.007, memory: 52541, decode.loss_ce: 0.1858, decode.acc_seg: 92.3587, loss: 0.1858 +2023-03-04 10:15:04,790 - mmseg - INFO - Iter [151350/160000] lr: 1.172e-06, eta: 0:31:02, time: 0.171, data_time: 0.007, memory: 52541, decode.loss_ce: 0.1810, decode.acc_seg: 92.4758, loss: 0.1810 +2023-03-04 10:15:13,702 - mmseg - INFO - Iter [151400/160000] lr: 1.172e-06, eta: 0:30:51, time: 0.178, data_time: 0.007, memory: 52541, decode.loss_ce: 0.1823, decode.acc_seg: 92.5160, loss: 0.1823 +2023-03-04 10:15:24,579 - mmseg - INFO - Iter [151450/160000] lr: 1.172e-06, eta: 0:30:40, time: 0.218, data_time: 0.055, memory: 52541, decode.loss_ce: 0.1821, decode.acc_seg: 92.4723, loss: 0.1821 +2023-03-04 10:15:32,874 - mmseg - INFO - Iter [151500/160000] lr: 1.172e-06, eta: 0:30:29, time: 0.166, data_time: 0.007, memory: 52541, decode.loss_ce: 0.1896, decode.acc_seg: 92.2290, loss: 0.1896 +2023-03-04 10:15:41,251 - mmseg - INFO - Iter [151550/160000] lr: 1.172e-06, eta: 0:30:18, time: 0.168, data_time: 0.007, memory: 52541, decode.loss_ce: 0.1867, decode.acc_seg: 92.3130, loss: 0.1867 +2023-03-04 10:15:49,795 - mmseg - INFO - Iter [151600/160000] lr: 1.172e-06, eta: 0:30:07, time: 0.171, data_time: 0.007, memory: 52541, decode.loss_ce: 0.1921, decode.acc_seg: 92.2185, loss: 0.1921 +2023-03-04 10:15:58,245 - mmseg - INFO - Iter [151650/160000] lr: 1.172e-06, eta: 0:29:56, time: 0.169, data_time: 0.007, memory: 52541, decode.loss_ce: 0.1892, decode.acc_seg: 92.3182, loss: 0.1892 +2023-03-04 10:16:06,906 - mmseg - INFO - Iter [151700/160000] lr: 1.172e-06, eta: 0:29:46, time: 0.173, data_time: 0.007, memory: 52541, decode.loss_ce: 0.1781, decode.acc_seg: 92.6020, loss: 0.1781 +2023-03-04 10:16:15,185 - mmseg - INFO - Iter [151750/160000] lr: 1.172e-06, eta: 0:29:35, time: 0.166, data_time: 0.007, memory: 52541, decode.loss_ce: 0.1823, decode.acc_seg: 92.5226, loss: 0.1823 +2023-03-04 10:16:23,529 - mmseg - INFO - Iter [151800/160000] lr: 1.172e-06, eta: 0:29:24, time: 0.167, data_time: 0.007, memory: 52541, decode.loss_ce: 0.1889, decode.acc_seg: 92.1475, loss: 0.1889 +2023-03-04 10:16:31,992 - mmseg - INFO - Iter [151850/160000] lr: 1.172e-06, eta: 0:29:13, time: 0.169, data_time: 0.007, memory: 52541, decode.loss_ce: 0.1802, decode.acc_seg: 92.5955, loss: 0.1802 +2023-03-04 10:16:40,792 - mmseg - INFO - Iter [151900/160000] lr: 1.172e-06, eta: 0:29:02, time: 0.176, data_time: 0.007, memory: 52541, decode.loss_ce: 0.1800, decode.acc_seg: 92.5656, loss: 0.1800 +2023-03-04 10:16:49,279 - mmseg - INFO - Iter [151950/160000] lr: 1.172e-06, eta: 0:28:51, time: 0.170, data_time: 0.007, memory: 52541, decode.loss_ce: 0.1842, decode.acc_seg: 92.3860, loss: 0.1842 +2023-03-04 10:16:57,817 - mmseg - INFO - Exp name: ablation_segformer_mit_b2_segformer_head_unet_fc_small_multi_step_ade_pretrained_freeze_embed_160k_ade20k151_finetune_ema_winit.py +2023-03-04 10:16:57,817 - mmseg - INFO - Iter [152000/160000] lr: 1.172e-06, eta: 0:28:40, time: 0.171, data_time: 0.007, memory: 52541, decode.loss_ce: 0.1844, decode.acc_seg: 92.4135, loss: 0.1844 +2023-03-04 10:17:06,327 - mmseg - INFO - Iter [152050/160000] lr: 1.172e-06, eta: 0:28:29, time: 0.170, data_time: 0.007, memory: 52541, decode.loss_ce: 0.1836, decode.acc_seg: 92.5403, loss: 0.1836 +2023-03-04 10:17:17,368 - mmseg - INFO - Iter [152100/160000] lr: 1.172e-06, eta: 0:28:19, time: 0.221, data_time: 0.057, memory: 52541, decode.loss_ce: 0.1822, decode.acc_seg: 92.4416, loss: 0.1822 +2023-03-04 10:17:25,838 - mmseg - INFO - Iter [152150/160000] lr: 1.172e-06, eta: 0:28:08, time: 0.169, data_time: 0.007, memory: 52541, decode.loss_ce: 0.1876, decode.acc_seg: 92.2603, loss: 0.1876 +2023-03-04 10:17:34,824 - mmseg - INFO - Iter [152200/160000] lr: 1.172e-06, eta: 0:27:57, time: 0.180, data_time: 0.007, memory: 52541, decode.loss_ce: 0.1842, decode.acc_seg: 92.3429, loss: 0.1842 +2023-03-04 10:17:43,222 - mmseg - INFO - Iter [152250/160000] lr: 1.172e-06, eta: 0:27:46, time: 0.168, data_time: 0.007, memory: 52541, decode.loss_ce: 0.1889, decode.acc_seg: 92.3223, loss: 0.1889 +2023-03-04 10:17:51,647 - mmseg - INFO - Iter [152300/160000] lr: 1.172e-06, eta: 0:27:35, time: 0.168, data_time: 0.007, memory: 52541, decode.loss_ce: 0.1864, decode.acc_seg: 92.3854, loss: 0.1864 +2023-03-04 10:17:59,940 - mmseg - INFO - Iter [152350/160000] lr: 1.172e-06, eta: 0:27:24, time: 0.166, data_time: 0.007, memory: 52541, decode.loss_ce: 0.1844, decode.acc_seg: 92.4842, loss: 0.1844 +2023-03-04 10:18:08,718 - mmseg - INFO - Iter [152400/160000] lr: 1.172e-06, eta: 0:27:14, time: 0.175, data_time: 0.007, memory: 52541, decode.loss_ce: 0.1783, decode.acc_seg: 92.6076, loss: 0.1783 +2023-03-04 10:18:17,562 - mmseg - INFO - Iter [152450/160000] lr: 1.172e-06, eta: 0:27:03, time: 0.177, data_time: 0.007, memory: 52541, decode.loss_ce: 0.1904, decode.acc_seg: 92.2403, loss: 0.1904 +2023-03-04 10:18:26,289 - mmseg - INFO - Iter [152500/160000] lr: 1.172e-06, eta: 0:26:52, time: 0.175, data_time: 0.007, memory: 52541, decode.loss_ce: 0.1749, decode.acc_seg: 92.7685, loss: 0.1749 +2023-03-04 10:18:34,727 - mmseg - INFO - Iter [152550/160000] lr: 1.172e-06, eta: 0:26:41, time: 0.169, data_time: 0.007, memory: 52541, decode.loss_ce: 0.1867, decode.acc_seg: 92.2920, loss: 0.1867 +2023-03-04 10:18:43,340 - mmseg - INFO - Iter [152600/160000] lr: 1.172e-06, eta: 0:26:30, time: 0.172, data_time: 0.007, memory: 52541, decode.loss_ce: 0.1852, decode.acc_seg: 92.5704, loss: 0.1852 +2023-03-04 10:18:51,673 - mmseg - INFO - Iter [152650/160000] lr: 1.172e-06, eta: 0:26:19, time: 0.167, data_time: 0.007, memory: 52541, decode.loss_ce: 0.1913, decode.acc_seg: 92.1862, loss: 0.1913 +2023-03-04 10:19:00,230 - mmseg - INFO - Iter [152700/160000] lr: 1.172e-06, eta: 0:26:08, time: 0.171, data_time: 0.007, memory: 52541, decode.loss_ce: 0.1836, decode.acc_seg: 92.5650, loss: 0.1836 +2023-03-04 10:19:11,172 - mmseg - INFO - Iter [152750/160000] lr: 1.172e-06, eta: 0:25:58, time: 0.219, data_time: 0.052, memory: 52541, decode.loss_ce: 0.1982, decode.acc_seg: 92.0373, loss: 0.1982 +2023-03-04 10:19:19,657 - mmseg - INFO - Iter [152800/160000] lr: 1.172e-06, eta: 0:25:47, time: 0.169, data_time: 0.007, memory: 52541, decode.loss_ce: 0.1811, decode.acc_seg: 92.5615, loss: 0.1811 +2023-03-04 10:19:28,555 - mmseg - INFO - Iter [152850/160000] lr: 1.172e-06, eta: 0:25:36, time: 0.178, data_time: 0.007, memory: 52541, decode.loss_ce: 0.1791, decode.acc_seg: 92.5924, loss: 0.1791 +2023-03-04 10:19:37,347 - mmseg - INFO - Iter [152900/160000] lr: 1.172e-06, eta: 0:25:25, time: 0.176, data_time: 0.007, memory: 52541, decode.loss_ce: 0.1891, decode.acc_seg: 92.3296, loss: 0.1891 +2023-03-04 10:19:46,011 - mmseg - INFO - Iter [152950/160000] lr: 1.172e-06, eta: 0:25:14, time: 0.173, data_time: 0.007, memory: 52541, decode.loss_ce: 0.1826, decode.acc_seg: 92.3060, loss: 0.1826 +2023-03-04 10:19:54,564 - mmseg - INFO - Exp name: ablation_segformer_mit_b2_segformer_head_unet_fc_small_multi_step_ade_pretrained_freeze_embed_160k_ade20k151_finetune_ema_winit.py +2023-03-04 10:19:54,564 - mmseg - INFO - Iter [153000/160000] lr: 1.172e-06, eta: 0:25:03, time: 0.171, data_time: 0.007, memory: 52541, decode.loss_ce: 0.1917, decode.acc_seg: 92.2276, loss: 0.1917 +2023-03-04 10:20:03,170 - mmseg - INFO - Iter [153050/160000] lr: 1.172e-06, eta: 0:24:53, time: 0.172, data_time: 0.007, memory: 52541, decode.loss_ce: 0.1762, decode.acc_seg: 92.6462, loss: 0.1762 +2023-03-04 10:20:11,458 - mmseg - INFO - Iter [153100/160000] lr: 1.172e-06, eta: 0:24:42, time: 0.166, data_time: 0.007, memory: 52541, decode.loss_ce: 0.1902, decode.acc_seg: 92.1887, loss: 0.1902 +2023-03-04 10:20:20,034 - mmseg - INFO - Iter [153150/160000] lr: 1.172e-06, eta: 0:24:31, time: 0.172, data_time: 0.007, memory: 52541, decode.loss_ce: 0.1944, decode.acc_seg: 92.0418, loss: 0.1944 +2023-03-04 10:20:28,470 - mmseg - INFO - Iter [153200/160000] lr: 1.172e-06, eta: 0:24:20, time: 0.169, data_time: 0.007, memory: 52541, decode.loss_ce: 0.1909, decode.acc_seg: 92.2882, loss: 0.1909 +2023-03-04 10:20:36,732 - mmseg - INFO - Iter [153250/160000] lr: 1.172e-06, eta: 0:24:09, time: 0.165, data_time: 0.007, memory: 52541, decode.loss_ce: 0.1865, decode.acc_seg: 92.3030, loss: 0.1865 +2023-03-04 10:20:45,587 - mmseg - INFO - Iter [153300/160000] lr: 1.172e-06, eta: 0:23:58, time: 0.177, data_time: 0.007, memory: 52541, decode.loss_ce: 0.1936, decode.acc_seg: 92.0527, loss: 0.1936 +2023-03-04 10:20:56,541 - mmseg - INFO - Iter [153350/160000] lr: 1.172e-06, eta: 0:23:48, time: 0.219, data_time: 0.055, memory: 52541, decode.loss_ce: 0.1787, decode.acc_seg: 92.6475, loss: 0.1787 +2023-03-04 10:21:04,964 - mmseg - INFO - Iter [153400/160000] lr: 1.172e-06, eta: 0:23:37, time: 0.168, data_time: 0.007, memory: 52541, decode.loss_ce: 0.1877, decode.acc_seg: 92.3948, loss: 0.1877 +2023-03-04 10:21:13,747 - mmseg - INFO - Iter [153450/160000] lr: 1.172e-06, eta: 0:23:26, time: 0.176, data_time: 0.008, memory: 52541, decode.loss_ce: 0.1831, decode.acc_seg: 92.3395, loss: 0.1831 +2023-03-04 10:21:22,217 - mmseg - INFO - Iter [153500/160000] lr: 1.172e-06, eta: 0:23:15, time: 0.169, data_time: 0.007, memory: 52541, decode.loss_ce: 0.1909, decode.acc_seg: 92.0383, loss: 0.1909 +2023-03-04 10:21:30,984 - mmseg - INFO - Iter [153550/160000] lr: 1.172e-06, eta: 0:23:04, time: 0.175, data_time: 0.007, memory: 52541, decode.loss_ce: 0.1886, decode.acc_seg: 92.2919, loss: 0.1886 +2023-03-04 10:21:39,236 - mmseg - INFO - Iter [153600/160000] lr: 1.172e-06, eta: 0:22:54, time: 0.165, data_time: 0.007, memory: 52541, decode.loss_ce: 0.1836, decode.acc_seg: 92.3765, loss: 0.1836 +2023-03-04 10:21:47,891 - mmseg - INFO - Iter [153650/160000] lr: 1.172e-06, eta: 0:22:43, time: 0.173, data_time: 0.007, memory: 52541, decode.loss_ce: 0.1870, decode.acc_seg: 92.3154, loss: 0.1870 +2023-03-04 10:21:56,580 - mmseg - INFO - Iter [153700/160000] lr: 1.172e-06, eta: 0:22:32, time: 0.174, data_time: 0.007, memory: 52541, decode.loss_ce: 0.1774, decode.acc_seg: 92.7220, loss: 0.1774 +2023-03-04 10:22:05,440 - mmseg - INFO - Iter [153750/160000] lr: 1.172e-06, eta: 0:22:21, time: 0.177, data_time: 0.007, memory: 52541, decode.loss_ce: 0.1784, decode.acc_seg: 92.6235, loss: 0.1784 +2023-03-04 10:22:14,015 - mmseg - INFO - Iter [153800/160000] lr: 1.172e-06, eta: 0:22:10, time: 0.171, data_time: 0.007, memory: 52541, decode.loss_ce: 0.1863, decode.acc_seg: 92.2974, loss: 0.1863 +2023-03-04 10:22:22,429 - mmseg - INFO - Iter [153850/160000] lr: 1.172e-06, eta: 0:21:59, time: 0.168, data_time: 0.007, memory: 52541, decode.loss_ce: 0.1758, decode.acc_seg: 92.7032, loss: 0.1758 +2023-03-04 10:22:30,886 - mmseg - INFO - Iter [153900/160000] lr: 1.172e-06, eta: 0:21:49, time: 0.169, data_time: 0.007, memory: 52541, decode.loss_ce: 0.1829, decode.acc_seg: 92.5166, loss: 0.1829 +2023-03-04 10:22:39,376 - mmseg - INFO - Iter [153950/160000] lr: 1.172e-06, eta: 0:21:38, time: 0.170, data_time: 0.007, memory: 52541, decode.loss_ce: 0.1822, decode.acc_seg: 92.3495, loss: 0.1822 +2023-03-04 10:22:50,175 - mmseg - INFO - Exp name: ablation_segformer_mit_b2_segformer_head_unet_fc_small_multi_step_ade_pretrained_freeze_embed_160k_ade20k151_finetune_ema_winit.py +2023-03-04 10:22:50,175 - mmseg - INFO - Iter [154000/160000] lr: 1.172e-06, eta: 0:21:27, time: 0.216, data_time: 0.056, memory: 52541, decode.loss_ce: 0.1802, decode.acc_seg: 92.5539, loss: 0.1802 +2023-03-04 10:22:58,422 - mmseg - INFO - Iter [154050/160000] lr: 1.172e-06, eta: 0:21:16, time: 0.165, data_time: 0.007, memory: 52541, decode.loss_ce: 0.1885, decode.acc_seg: 92.2912, loss: 0.1885 +2023-03-04 10:23:07,295 - mmseg - INFO - Iter [154100/160000] lr: 1.172e-06, eta: 0:21:05, time: 0.177, data_time: 0.007, memory: 52541, decode.loss_ce: 0.1833, decode.acc_seg: 92.4561, loss: 0.1833 +2023-03-04 10:23:15,694 - mmseg - INFO - Iter [154150/160000] lr: 1.172e-06, eta: 0:20:55, time: 0.168, data_time: 0.007, memory: 52541, decode.loss_ce: 0.1822, decode.acc_seg: 92.5223, loss: 0.1822 +2023-03-04 10:23:24,769 - mmseg - INFO - Iter [154200/160000] lr: 1.172e-06, eta: 0:20:44, time: 0.181, data_time: 0.006, memory: 52541, decode.loss_ce: 0.1871, decode.acc_seg: 92.3368, loss: 0.1871 +2023-03-04 10:23:33,278 - mmseg - INFO - Iter [154250/160000] lr: 1.172e-06, eta: 0:20:33, time: 0.170, data_time: 0.007, memory: 52541, decode.loss_ce: 0.1784, decode.acc_seg: 92.6711, loss: 0.1784 +2023-03-04 10:23:41,944 - mmseg - INFO - Iter [154300/160000] lr: 1.172e-06, eta: 0:20:22, time: 0.173, data_time: 0.007, memory: 52541, decode.loss_ce: 0.1830, decode.acc_seg: 92.4740, loss: 0.1830 +2023-03-04 10:23:50,289 - mmseg - INFO - Iter [154350/160000] lr: 1.172e-06, eta: 0:20:11, time: 0.167, data_time: 0.007, memory: 52541, decode.loss_ce: 0.1860, decode.acc_seg: 92.3188, loss: 0.1860 +2023-03-04 10:23:59,200 - mmseg - INFO - Iter [154400/160000] lr: 1.172e-06, eta: 0:20:01, time: 0.178, data_time: 0.008, memory: 52541, decode.loss_ce: 0.1839, decode.acc_seg: 92.2123, loss: 0.1839 +2023-03-04 10:24:07,826 - mmseg - INFO - Iter [154450/160000] lr: 1.172e-06, eta: 0:19:50, time: 0.172, data_time: 0.007, memory: 52541, decode.loss_ce: 0.1820, decode.acc_seg: 92.5127, loss: 0.1820 +2023-03-04 10:24:16,611 - mmseg - INFO - Iter [154500/160000] lr: 1.172e-06, eta: 0:19:39, time: 0.176, data_time: 0.007, memory: 52541, decode.loss_ce: 0.1838, decode.acc_seg: 92.5179, loss: 0.1838 +2023-03-04 10:24:25,128 - mmseg - INFO - Iter [154550/160000] lr: 1.172e-06, eta: 0:19:28, time: 0.170, data_time: 0.007, memory: 52541, decode.loss_ce: 0.1896, decode.acc_seg: 92.1323, loss: 0.1896 +2023-03-04 10:24:36,364 - mmseg - INFO - Iter [154600/160000] lr: 1.172e-06, eta: 0:19:18, time: 0.225, data_time: 0.055, memory: 52541, decode.loss_ce: 0.1902, decode.acc_seg: 92.1662, loss: 0.1902 +2023-03-04 10:24:44,749 - mmseg - INFO - Iter [154650/160000] lr: 1.172e-06, eta: 0:19:07, time: 0.168, data_time: 0.007, memory: 52541, decode.loss_ce: 0.1799, decode.acc_seg: 92.2587, loss: 0.1799 +2023-03-04 10:24:53,492 - mmseg - INFO - Iter [154700/160000] lr: 1.172e-06, eta: 0:18:56, time: 0.175, data_time: 0.008, memory: 52541, decode.loss_ce: 0.1876, decode.acc_seg: 92.3749, loss: 0.1876 +2023-03-04 10:25:01,840 - mmseg - INFO - Iter [154750/160000] lr: 1.172e-06, eta: 0:18:45, time: 0.167, data_time: 0.007, memory: 52541, decode.loss_ce: 0.1820, decode.acc_seg: 92.5378, loss: 0.1820 +2023-03-04 10:25:10,162 - mmseg - INFO - Iter [154800/160000] lr: 1.172e-06, eta: 0:18:34, time: 0.166, data_time: 0.007, memory: 52541, decode.loss_ce: 0.1876, decode.acc_seg: 92.2933, loss: 0.1876 +2023-03-04 10:25:18,385 - mmseg - INFO - Iter [154850/160000] lr: 1.172e-06, eta: 0:18:24, time: 0.164, data_time: 0.007, memory: 52541, decode.loss_ce: 0.1723, decode.acc_seg: 92.8766, loss: 0.1723 +2023-03-04 10:25:26,934 - mmseg - INFO - Iter [154900/160000] lr: 1.172e-06, eta: 0:18:13, time: 0.171, data_time: 0.007, memory: 52541, decode.loss_ce: 0.1843, decode.acc_seg: 92.4535, loss: 0.1843 +2023-03-04 10:25:35,345 - mmseg - INFO - Iter [154950/160000] lr: 1.172e-06, eta: 0:18:02, time: 0.168, data_time: 0.007, memory: 52541, decode.loss_ce: 0.1838, decode.acc_seg: 92.3685, loss: 0.1838 +2023-03-04 10:25:43,643 - mmseg - INFO - Exp name: ablation_segformer_mit_b2_segformer_head_unet_fc_small_multi_step_ade_pretrained_freeze_embed_160k_ade20k151_finetune_ema_winit.py +2023-03-04 10:25:43,643 - mmseg - INFO - Iter [155000/160000] lr: 1.172e-06, eta: 0:17:51, time: 0.166, data_time: 0.007, memory: 52541, decode.loss_ce: 0.1847, decode.acc_seg: 92.4985, loss: 0.1847 +2023-03-04 10:25:51,879 - mmseg - INFO - Iter [155050/160000] lr: 1.172e-06, eta: 0:17:40, time: 0.165, data_time: 0.007, memory: 52541, decode.loss_ce: 0.1836, decode.acc_seg: 92.4188, loss: 0.1836 +2023-03-04 10:26:00,443 - mmseg - INFO - Iter [155100/160000] lr: 1.172e-06, eta: 0:17:30, time: 0.171, data_time: 0.007, memory: 52541, decode.loss_ce: 0.1894, decode.acc_seg: 92.3380, loss: 0.1894 +2023-03-04 10:26:09,191 - mmseg - INFO - Iter [155150/160000] lr: 1.172e-06, eta: 0:17:19, time: 0.175, data_time: 0.007, memory: 52541, decode.loss_ce: 0.1816, decode.acc_seg: 92.4373, loss: 0.1816 +2023-03-04 10:26:17,957 - mmseg - INFO - Iter [155200/160000] lr: 1.172e-06, eta: 0:17:08, time: 0.176, data_time: 0.007, memory: 52541, decode.loss_ce: 0.1793, decode.acc_seg: 92.5306, loss: 0.1793 +2023-03-04 10:26:28,828 - mmseg - INFO - Iter [155250/160000] lr: 1.172e-06, eta: 0:16:57, time: 0.217, data_time: 0.056, memory: 52541, decode.loss_ce: 0.1764, decode.acc_seg: 92.6761, loss: 0.1764 +2023-03-04 10:26:37,639 - mmseg - INFO - Iter [155300/160000] lr: 1.172e-06, eta: 0:16:47, time: 0.176, data_time: 0.008, memory: 52541, decode.loss_ce: 0.1826, decode.acc_seg: 92.4418, loss: 0.1826 +2023-03-04 10:26:46,194 - mmseg - INFO - Iter [155350/160000] lr: 1.172e-06, eta: 0:16:36, time: 0.171, data_time: 0.007, memory: 52541, decode.loss_ce: 0.1799, decode.acc_seg: 92.6065, loss: 0.1799 +2023-03-04 10:26:54,880 - mmseg - INFO - Iter [155400/160000] lr: 1.172e-06, eta: 0:16:25, time: 0.174, data_time: 0.007, memory: 52541, decode.loss_ce: 0.1844, decode.acc_seg: 92.5728, loss: 0.1844 +2023-03-04 10:27:03,597 - mmseg - INFO - Iter [155450/160000] lr: 1.172e-06, eta: 0:16:14, time: 0.175, data_time: 0.007, memory: 52541, decode.loss_ce: 0.1848, decode.acc_seg: 92.4151, loss: 0.1848 +2023-03-04 10:27:12,444 - mmseg - INFO - Iter [155500/160000] lr: 1.172e-06, eta: 0:16:03, time: 0.177, data_time: 0.008, memory: 52541, decode.loss_ce: 0.1862, decode.acc_seg: 92.3103, loss: 0.1862 +2023-03-04 10:27:20,849 - mmseg - INFO - Iter [155550/160000] lr: 1.172e-06, eta: 0:15:53, time: 0.168, data_time: 0.007, memory: 52541, decode.loss_ce: 0.1832, decode.acc_seg: 92.3950, loss: 0.1832 +2023-03-04 10:27:29,438 - mmseg - INFO - Iter [155600/160000] lr: 1.172e-06, eta: 0:15:42, time: 0.172, data_time: 0.008, memory: 52541, decode.loss_ce: 0.1819, decode.acc_seg: 92.4724, loss: 0.1819 +2023-03-04 10:27:37,755 - mmseg - INFO - Iter [155650/160000] lr: 1.172e-06, eta: 0:15:31, time: 0.166, data_time: 0.007, memory: 52541, decode.loss_ce: 0.1919, decode.acc_seg: 92.1146, loss: 0.1919 +2023-03-04 10:27:46,316 - mmseg - INFO - Iter [155700/160000] lr: 1.172e-06, eta: 0:15:20, time: 0.171, data_time: 0.007, memory: 52541, decode.loss_ce: 0.1850, decode.acc_seg: 92.3768, loss: 0.1850 +2023-03-04 10:27:54,933 - mmseg - INFO - Iter [155750/160000] lr: 1.172e-06, eta: 0:15:10, time: 0.172, data_time: 0.007, memory: 52541, decode.loss_ce: 0.1853, decode.acc_seg: 92.3355, loss: 0.1853 +2023-03-04 10:28:03,496 - mmseg - INFO - Iter [155800/160000] lr: 1.172e-06, eta: 0:14:59, time: 0.171, data_time: 0.007, memory: 52541, decode.loss_ce: 0.1731, decode.acc_seg: 92.7658, loss: 0.1731 +2023-03-04 10:28:12,272 - mmseg - INFO - Iter [155850/160000] lr: 1.172e-06, eta: 0:14:48, time: 0.176, data_time: 0.007, memory: 52541, decode.loss_ce: 0.1861, decode.acc_seg: 92.4535, loss: 0.1861 +2023-03-04 10:28:23,279 - mmseg - INFO - Iter [155900/160000] lr: 1.172e-06, eta: 0:14:37, time: 0.220, data_time: 0.056, memory: 52541, decode.loss_ce: 0.1877, decode.acc_seg: 92.3742, loss: 0.1877 +2023-03-04 10:28:31,693 - mmseg - INFO - Iter [155950/160000] lr: 1.172e-06, eta: 0:14:27, time: 0.168, data_time: 0.007, memory: 52541, decode.loss_ce: 0.1815, decode.acc_seg: 92.5033, loss: 0.1815 +2023-03-04 10:28:40,318 - mmseg - INFO - Exp name: ablation_segformer_mit_b2_segformer_head_unet_fc_small_multi_step_ade_pretrained_freeze_embed_160k_ade20k151_finetune_ema_winit.py +2023-03-04 10:28:40,318 - mmseg - INFO - Iter [156000/160000] lr: 1.172e-06, eta: 0:14:16, time: 0.173, data_time: 0.007, memory: 52541, decode.loss_ce: 0.1828, decode.acc_seg: 92.4185, loss: 0.1828 +2023-03-04 10:28:48,830 - mmseg - INFO - Iter [156050/160000] lr: 1.172e-06, eta: 0:14:05, time: 0.170, data_time: 0.006, memory: 52541, decode.loss_ce: 0.1916, decode.acc_seg: 92.1818, loss: 0.1916 +2023-03-04 10:28:57,880 - mmseg - INFO - Iter [156100/160000] lr: 1.172e-06, eta: 0:13:54, time: 0.181, data_time: 0.006, memory: 52541, decode.loss_ce: 0.1860, decode.acc_seg: 92.4400, loss: 0.1860 +2023-03-04 10:29:06,586 - mmseg - INFO - Iter [156150/160000] lr: 1.172e-06, eta: 0:13:44, time: 0.174, data_time: 0.007, memory: 52541, decode.loss_ce: 0.1822, decode.acc_seg: 92.3960, loss: 0.1822 +2023-03-04 10:29:15,290 - mmseg - INFO - Iter [156200/160000] lr: 1.172e-06, eta: 0:13:33, time: 0.174, data_time: 0.008, memory: 52541, decode.loss_ce: 0.1819, decode.acc_seg: 92.5580, loss: 0.1819 +2023-03-04 10:29:23,629 - mmseg - INFO - Iter [156250/160000] lr: 1.172e-06, eta: 0:13:22, time: 0.167, data_time: 0.007, memory: 52541, decode.loss_ce: 0.1890, decode.acc_seg: 92.1862, loss: 0.1890 +2023-03-04 10:29:32,312 - mmseg - INFO - Iter [156300/160000] lr: 1.172e-06, eta: 0:13:11, time: 0.173, data_time: 0.007, memory: 52541, decode.loss_ce: 0.1786, decode.acc_seg: 92.5104, loss: 0.1786 +2023-03-04 10:29:41,259 - mmseg - INFO - Iter [156350/160000] lr: 1.172e-06, eta: 0:13:01, time: 0.179, data_time: 0.007, memory: 52541, decode.loss_ce: 0.1861, decode.acc_seg: 92.2939, loss: 0.1861 +2023-03-04 10:29:49,634 - mmseg - INFO - Iter [156400/160000] lr: 1.172e-06, eta: 0:12:50, time: 0.167, data_time: 0.007, memory: 52541, decode.loss_ce: 0.1868, decode.acc_seg: 92.2443, loss: 0.1868 +2023-03-04 10:29:58,364 - mmseg - INFO - Iter [156450/160000] lr: 1.172e-06, eta: 0:12:39, time: 0.174, data_time: 0.007, memory: 52541, decode.loss_ce: 0.1768, decode.acc_seg: 92.8251, loss: 0.1768 +2023-03-04 10:30:09,188 - mmseg - INFO - Iter [156500/160000] lr: 1.172e-06, eta: 0:12:28, time: 0.217, data_time: 0.055, memory: 52541, decode.loss_ce: 0.1785, decode.acc_seg: 92.5918, loss: 0.1785 +2023-03-04 10:30:17,704 - mmseg - INFO - Iter [156550/160000] lr: 1.172e-06, eta: 0:12:18, time: 0.170, data_time: 0.007, memory: 52541, decode.loss_ce: 0.1851, decode.acc_seg: 92.2698, loss: 0.1851 +2023-03-04 10:30:26,072 - mmseg - INFO - Iter [156600/160000] lr: 1.172e-06, eta: 0:12:07, time: 0.167, data_time: 0.007, memory: 52541, decode.loss_ce: 0.1726, decode.acc_seg: 92.8340, loss: 0.1726 +2023-03-04 10:30:35,179 - mmseg - INFO - Iter [156650/160000] lr: 1.172e-06, eta: 0:11:56, time: 0.182, data_time: 0.006, memory: 52541, decode.loss_ce: 0.1860, decode.acc_seg: 92.3295, loss: 0.1860 +2023-03-04 10:30:43,693 - mmseg - INFO - Iter [156700/160000] lr: 1.172e-06, eta: 0:11:45, time: 0.170, data_time: 0.007, memory: 52541, decode.loss_ce: 0.1823, decode.acc_seg: 92.3959, loss: 0.1823 +2023-03-04 10:30:52,366 - mmseg - INFO - Iter [156750/160000] lr: 1.172e-06, eta: 0:11:35, time: 0.173, data_time: 0.008, memory: 52541, decode.loss_ce: 0.1822, decode.acc_seg: 92.5905, loss: 0.1822 +2023-03-04 10:31:00,717 - mmseg - INFO - Iter [156800/160000] lr: 1.172e-06, eta: 0:11:24, time: 0.167, data_time: 0.007, memory: 52541, decode.loss_ce: 0.1819, decode.acc_seg: 92.4441, loss: 0.1819 +2023-03-04 10:31:09,085 - mmseg - INFO - Iter [156850/160000] lr: 1.172e-06, eta: 0:11:13, time: 0.167, data_time: 0.007, memory: 52541, decode.loss_ce: 0.1787, decode.acc_seg: 92.6002, loss: 0.1787 +2023-03-04 10:31:17,321 - mmseg - INFO - Iter [156900/160000] lr: 1.172e-06, eta: 0:11:02, time: 0.165, data_time: 0.007, memory: 52541, decode.loss_ce: 0.1896, decode.acc_seg: 92.1741, loss: 0.1896 +2023-03-04 10:31:25,853 - mmseg - INFO - Iter [156950/160000] lr: 1.172e-06, eta: 0:10:52, time: 0.171, data_time: 0.007, memory: 52541, decode.loss_ce: 0.1833, decode.acc_seg: 92.4361, loss: 0.1833 +2023-03-04 10:31:34,093 - mmseg - INFO - Exp name: ablation_segformer_mit_b2_segformer_head_unet_fc_small_multi_step_ade_pretrained_freeze_embed_160k_ade20k151_finetune_ema_winit.py +2023-03-04 10:31:34,093 - mmseg - INFO - Iter [157000/160000] lr: 1.172e-06, eta: 0:10:41, time: 0.165, data_time: 0.007, memory: 52541, decode.loss_ce: 0.1793, decode.acc_seg: 92.6893, loss: 0.1793 +2023-03-04 10:31:43,040 - mmseg - INFO - Iter [157050/160000] lr: 1.172e-06, eta: 0:10:30, time: 0.179, data_time: 0.007, memory: 52541, decode.loss_ce: 0.1828, decode.acc_seg: 92.6130, loss: 0.1828 +2023-03-04 10:31:51,266 - mmseg - INFO - Iter [157100/160000] lr: 1.172e-06, eta: 0:10:20, time: 0.165, data_time: 0.007, memory: 52541, decode.loss_ce: 0.1884, decode.acc_seg: 92.1840, loss: 0.1884 +2023-03-04 10:32:02,127 - mmseg - INFO - Iter [157150/160000] lr: 1.172e-06, eta: 0:10:09, time: 0.217, data_time: 0.053, memory: 52541, decode.loss_ce: 0.1791, decode.acc_seg: 92.6208, loss: 0.1791 +2023-03-04 10:32:10,387 - mmseg - INFO - Iter [157200/160000] lr: 1.172e-06, eta: 0:09:58, time: 0.165, data_time: 0.007, memory: 52541, decode.loss_ce: 0.1777, decode.acc_seg: 92.6937, loss: 0.1777 +2023-03-04 10:32:18,962 - mmseg - INFO - Iter [157250/160000] lr: 1.172e-06, eta: 0:09:47, time: 0.171, data_time: 0.007, memory: 52541, decode.loss_ce: 0.1865, decode.acc_seg: 92.3439, loss: 0.1865 +2023-03-04 10:32:27,447 - mmseg - INFO - Iter [157300/160000] lr: 1.172e-06, eta: 0:09:37, time: 0.170, data_time: 0.007, memory: 52541, decode.loss_ce: 0.1889, decode.acc_seg: 92.0990, loss: 0.1889 +2023-03-04 10:32:36,068 - mmseg - INFO - Iter [157350/160000] lr: 1.172e-06, eta: 0:09:26, time: 0.172, data_time: 0.007, memory: 52541, decode.loss_ce: 0.1816, decode.acc_seg: 92.5829, loss: 0.1816 +2023-03-04 10:32:44,649 - mmseg - INFO - Iter [157400/160000] lr: 1.172e-06, eta: 0:09:15, time: 0.172, data_time: 0.007, memory: 52541, decode.loss_ce: 0.1875, decode.acc_seg: 92.2918, loss: 0.1875 +2023-03-04 10:32:53,488 - mmseg - INFO - Iter [157450/160000] lr: 1.172e-06, eta: 0:09:04, time: 0.177, data_time: 0.007, memory: 52541, decode.loss_ce: 0.1760, decode.acc_seg: 92.6519, loss: 0.1760 +2023-03-04 10:33:01,879 - mmseg - INFO - Iter [157500/160000] lr: 1.172e-06, eta: 0:08:54, time: 0.168, data_time: 0.007, memory: 52541, decode.loss_ce: 0.1861, decode.acc_seg: 92.2780, loss: 0.1861 +2023-03-04 10:33:10,369 - mmseg - INFO - Iter [157550/160000] lr: 1.172e-06, eta: 0:08:43, time: 0.170, data_time: 0.007, memory: 52541, decode.loss_ce: 0.1950, decode.acc_seg: 92.1604, loss: 0.1950 +2023-03-04 10:33:18,738 - mmseg - INFO - Iter [157600/160000] lr: 1.172e-06, eta: 0:08:32, time: 0.167, data_time: 0.007, memory: 52541, decode.loss_ce: 0.1855, decode.acc_seg: 92.5300, loss: 0.1855 +2023-03-04 10:33:27,146 - mmseg - INFO - Iter [157650/160000] lr: 1.172e-06, eta: 0:08:22, time: 0.168, data_time: 0.007, memory: 52541, decode.loss_ce: 0.1846, decode.acc_seg: 92.4731, loss: 0.1846 +2023-03-04 10:33:35,504 - mmseg - INFO - Iter [157700/160000] lr: 1.172e-06, eta: 0:08:11, time: 0.167, data_time: 0.007, memory: 52541, decode.loss_ce: 0.1829, decode.acc_seg: 92.4157, loss: 0.1829 +2023-03-04 10:33:44,077 - mmseg - INFO - Iter [157750/160000] lr: 1.172e-06, eta: 0:08:00, time: 0.172, data_time: 0.007, memory: 52541, decode.loss_ce: 0.1830, decode.acc_seg: 92.3810, loss: 0.1830 +2023-03-04 10:33:55,137 - mmseg - INFO - Iter [157800/160000] lr: 1.172e-06, eta: 0:07:50, time: 0.221, data_time: 0.055, memory: 52541, decode.loss_ce: 0.1860, decode.acc_seg: 92.3285, loss: 0.1860 +2023-03-04 10:34:03,542 - mmseg - INFO - Iter [157850/160000] lr: 1.172e-06, eta: 0:07:39, time: 0.168, data_time: 0.007, memory: 52541, decode.loss_ce: 0.1894, decode.acc_seg: 92.0956, loss: 0.1894 +2023-03-04 10:34:12,110 - mmseg - INFO - Iter [157900/160000] lr: 1.172e-06, eta: 0:07:28, time: 0.171, data_time: 0.007, memory: 52541, decode.loss_ce: 0.1828, decode.acc_seg: 92.4674, loss: 0.1828 +2023-03-04 10:34:20,411 - mmseg - INFO - Iter [157950/160000] lr: 1.172e-06, eta: 0:07:17, time: 0.166, data_time: 0.007, memory: 52541, decode.loss_ce: 0.1836, decode.acc_seg: 92.4500, loss: 0.1836 +2023-03-04 10:34:28,907 - mmseg - INFO - Exp name: ablation_segformer_mit_b2_segformer_head_unet_fc_small_multi_step_ade_pretrained_freeze_embed_160k_ade20k151_finetune_ema_winit.py +2023-03-04 10:34:28,907 - mmseg - INFO - Iter [158000/160000] lr: 1.172e-06, eta: 0:07:07, time: 0.170, data_time: 0.007, memory: 52541, decode.loss_ce: 0.1908, decode.acc_seg: 92.1017, loss: 0.1908 +2023-03-04 10:34:37,399 - mmseg - INFO - Iter [158050/160000] lr: 1.172e-06, eta: 0:06:56, time: 0.170, data_time: 0.007, memory: 52541, decode.loss_ce: 0.1889, decode.acc_seg: 92.2957, loss: 0.1889 +2023-03-04 10:34:45,966 - mmseg - INFO - Iter [158100/160000] lr: 1.172e-06, eta: 0:06:45, time: 0.171, data_time: 0.007, memory: 52541, decode.loss_ce: 0.1867, decode.acc_seg: 92.2755, loss: 0.1867 +2023-03-04 10:34:54,566 - mmseg - INFO - Iter [158150/160000] lr: 1.172e-06, eta: 0:06:35, time: 0.172, data_time: 0.007, memory: 52541, decode.loss_ce: 0.1812, decode.acc_seg: 92.4649, loss: 0.1812 +2023-03-04 10:35:03,364 - mmseg - INFO - Iter [158200/160000] lr: 1.172e-06, eta: 0:06:24, time: 0.176, data_time: 0.007, memory: 52541, decode.loss_ce: 0.1863, decode.acc_seg: 92.4062, loss: 0.1863 +2023-03-04 10:35:11,880 - mmseg - INFO - Iter [158250/160000] lr: 1.172e-06, eta: 0:06:13, time: 0.170, data_time: 0.007, memory: 52541, decode.loss_ce: 0.1825, decode.acc_seg: 92.4903, loss: 0.1825 +2023-03-04 10:35:20,973 - mmseg - INFO - Iter [158300/160000] lr: 1.172e-06, eta: 0:06:02, time: 0.182, data_time: 0.006, memory: 52541, decode.loss_ce: 0.1828, decode.acc_seg: 92.5602, loss: 0.1828 +2023-03-04 10:35:29,839 - mmseg - INFO - Iter [158350/160000] lr: 1.172e-06, eta: 0:05:52, time: 0.177, data_time: 0.007, memory: 52541, decode.loss_ce: 0.1842, decode.acc_seg: 92.3476, loss: 0.1842 +2023-03-04 10:35:40,648 - mmseg - INFO - Iter [158400/160000] lr: 1.172e-06, eta: 0:05:41, time: 0.216, data_time: 0.056, memory: 52541, decode.loss_ce: 0.1774, decode.acc_seg: 92.7132, loss: 0.1774 +2023-03-04 10:35:49,205 - mmseg - INFO - Iter [158450/160000] lr: 1.172e-06, eta: 0:05:30, time: 0.171, data_time: 0.007, memory: 52541, decode.loss_ce: 0.1869, decode.acc_seg: 92.3859, loss: 0.1869 +2023-03-04 10:35:57,422 - mmseg - INFO - Iter [158500/160000] lr: 1.172e-06, eta: 0:05:20, time: 0.165, data_time: 0.007, memory: 52541, decode.loss_ce: 0.1799, decode.acc_seg: 92.6031, loss: 0.1799 +2023-03-04 10:36:06,112 - mmseg - INFO - Iter [158550/160000] lr: 1.172e-06, eta: 0:05:09, time: 0.174, data_time: 0.006, memory: 52541, decode.loss_ce: 0.1854, decode.acc_seg: 92.4547, loss: 0.1854 +2023-03-04 10:36:14,480 - mmseg - INFO - Iter [158600/160000] lr: 1.172e-06, eta: 0:04:58, time: 0.168, data_time: 0.007, memory: 52541, decode.loss_ce: 0.1876, decode.acc_seg: 92.4874, loss: 0.1876 +2023-03-04 10:36:22,943 - mmseg - INFO - Iter [158650/160000] lr: 1.172e-06, eta: 0:04:48, time: 0.169, data_time: 0.007, memory: 52541, decode.loss_ce: 0.1861, decode.acc_seg: 92.3679, loss: 0.1861 +2023-03-04 10:36:31,734 - mmseg - INFO - Iter [158700/160000] lr: 1.172e-06, eta: 0:04:37, time: 0.176, data_time: 0.007, memory: 52541, decode.loss_ce: 0.1834, decode.acc_seg: 92.5842, loss: 0.1834 +2023-03-04 10:36:40,122 - mmseg - INFO - Iter [158750/160000] lr: 1.172e-06, eta: 0:04:26, time: 0.168, data_time: 0.007, memory: 52541, decode.loss_ce: 0.1840, decode.acc_seg: 92.5187, loss: 0.1840 +2023-03-04 10:36:48,961 - mmseg - INFO - Iter [158800/160000] lr: 1.172e-06, eta: 0:04:16, time: 0.176, data_time: 0.006, memory: 52541, decode.loss_ce: 0.1862, decode.acc_seg: 92.3569, loss: 0.1862 +2023-03-04 10:36:57,538 - mmseg - INFO - Iter [158850/160000] lr: 1.172e-06, eta: 0:04:05, time: 0.172, data_time: 0.007, memory: 52541, decode.loss_ce: 0.1928, decode.acc_seg: 92.0081, loss: 0.1928 +2023-03-04 10:37:06,116 - mmseg - INFO - Iter [158900/160000] lr: 1.172e-06, eta: 0:03:54, time: 0.172, data_time: 0.007, memory: 52541, decode.loss_ce: 0.1805, decode.acc_seg: 92.4724, loss: 0.1805 +2023-03-04 10:37:15,216 - mmseg - INFO - Iter [158950/160000] lr: 1.172e-06, eta: 0:03:44, time: 0.182, data_time: 0.008, memory: 52541, decode.loss_ce: 0.1807, decode.acc_seg: 92.7022, loss: 0.1807 +2023-03-04 10:37:23,851 - mmseg - INFO - Exp name: ablation_segformer_mit_b2_segformer_head_unet_fc_small_multi_step_ade_pretrained_freeze_embed_160k_ade20k151_finetune_ema_winit.py +2023-03-04 10:37:23,851 - mmseg - INFO - Iter [159000/160000] lr: 1.172e-06, eta: 0:03:33, time: 0.173, data_time: 0.006, memory: 52541, decode.loss_ce: 0.1937, decode.acc_seg: 92.0105, loss: 0.1937 +2023-03-04 10:37:34,779 - mmseg - INFO - Iter [159050/160000] lr: 1.172e-06, eta: 0:03:22, time: 0.219, data_time: 0.055, memory: 52541, decode.loss_ce: 0.1885, decode.acc_seg: 92.2827, loss: 0.1885 +2023-03-04 10:37:43,330 - mmseg - INFO - Iter [159100/160000] lr: 1.172e-06, eta: 0:03:11, time: 0.171, data_time: 0.007, memory: 52541, decode.loss_ce: 0.1829, decode.acc_seg: 92.4740, loss: 0.1829 +2023-03-04 10:37:51,766 - mmseg - INFO - Iter [159150/160000] lr: 1.172e-06, eta: 0:03:01, time: 0.168, data_time: 0.007, memory: 52541, decode.loss_ce: 0.1876, decode.acc_seg: 92.4015, loss: 0.1876 +2023-03-04 10:38:00,209 - mmseg - INFO - Iter [159200/160000] lr: 1.172e-06, eta: 0:02:50, time: 0.169, data_time: 0.007, memory: 52541, decode.loss_ce: 0.1890, decode.acc_seg: 92.1819, loss: 0.1890 +2023-03-04 10:38:08,733 - mmseg - INFO - Iter [159250/160000] lr: 1.172e-06, eta: 0:02:39, time: 0.170, data_time: 0.007, memory: 52541, decode.loss_ce: 0.1897, decode.acc_seg: 92.0988, loss: 0.1897 +2023-03-04 10:38:17,472 - mmseg - INFO - Iter [159300/160000] lr: 1.172e-06, eta: 0:02:29, time: 0.175, data_time: 0.007, memory: 52541, decode.loss_ce: 0.1838, decode.acc_seg: 92.5144, loss: 0.1838 +2023-03-04 10:38:25,947 - mmseg - INFO - Iter [159350/160000] lr: 1.172e-06, eta: 0:02:18, time: 0.169, data_time: 0.007, memory: 52541, decode.loss_ce: 0.1816, decode.acc_seg: 92.5126, loss: 0.1816 +2023-03-04 10:38:34,614 - mmseg - INFO - Iter [159400/160000] lr: 1.172e-06, eta: 0:02:07, time: 0.173, data_time: 0.007, memory: 52541, decode.loss_ce: 0.1749, decode.acc_seg: 92.7185, loss: 0.1749 +2023-03-04 10:38:43,279 - mmseg - INFO - Iter [159450/160000] lr: 1.172e-06, eta: 0:01:57, time: 0.173, data_time: 0.007, memory: 52541, decode.loss_ce: 0.1860, decode.acc_seg: 92.3185, loss: 0.1860 +2023-03-04 10:38:51,818 - mmseg - INFO - Iter [159500/160000] lr: 1.172e-06, eta: 0:01:46, time: 0.171, data_time: 0.007, memory: 52541, decode.loss_ce: 0.1815, decode.acc_seg: 92.5019, loss: 0.1815 +2023-03-04 10:39:00,702 - mmseg - INFO - Iter [159550/160000] lr: 1.172e-06, eta: 0:01:35, time: 0.178, data_time: 0.006, memory: 52541, decode.loss_ce: 0.1866, decode.acc_seg: 92.4376, loss: 0.1866 +2023-03-04 10:39:09,725 - mmseg - INFO - Iter [159600/160000] lr: 1.172e-06, eta: 0:01:25, time: 0.180, data_time: 0.007, memory: 52541, decode.loss_ce: 0.1848, decode.acc_seg: 92.4358, loss: 0.1848 +2023-03-04 10:39:20,746 - mmseg - INFO - Iter [159650/160000] lr: 1.172e-06, eta: 0:01:14, time: 0.221, data_time: 0.054, memory: 52541, decode.loss_ce: 0.1795, decode.acc_seg: 92.5375, loss: 0.1795 +2023-03-04 10:39:29,235 - mmseg - INFO - Iter [159700/160000] lr: 1.172e-06, eta: 0:01:03, time: 0.170, data_time: 0.007, memory: 52541, decode.loss_ce: 0.1850, decode.acc_seg: 92.4376, loss: 0.1850 +2023-03-04 10:39:37,878 - mmseg - INFO - Iter [159750/160000] lr: 1.172e-06, eta: 0:00:53, time: 0.173, data_time: 0.007, memory: 52541, decode.loss_ce: 0.1759, decode.acc_seg: 92.6540, loss: 0.1759 +2023-03-04 10:39:46,393 - mmseg - INFO - Iter [159800/160000] lr: 1.172e-06, eta: 0:00:42, time: 0.170, data_time: 0.007, memory: 52541, decode.loss_ce: 0.1841, decode.acc_seg: 92.4122, loss: 0.1841 +2023-03-04 10:39:55,234 - mmseg - INFO - Iter [159850/160000] lr: 1.172e-06, eta: 0:00:31, time: 0.177, data_time: 0.007, memory: 52541, decode.loss_ce: 0.1883, decode.acc_seg: 92.4336, loss: 0.1883 +2023-03-04 10:40:03,655 - mmseg - INFO - Iter [159900/160000] lr: 1.172e-06, eta: 0:00:21, time: 0.169, data_time: 0.007, memory: 52541, decode.loss_ce: 0.1855, decode.acc_seg: 92.3747, loss: 0.1855 +2023-03-04 10:40:12,339 - mmseg - INFO - Iter [159950/160000] lr: 1.172e-06, eta: 0:00:10, time: 0.174, data_time: 0.007, memory: 52541, decode.loss_ce: 0.1825, decode.acc_seg: 92.3796, loss: 0.1825 +2023-03-04 10:40:21,222 - mmseg - INFO - Swap parameters (after train) after iter [160000] +2023-03-04 10:40:21,236 - mmseg - INFO - Saving checkpoint at 160000 iterations +2023-03-04 10:40:22,242 - mmseg - INFO - Exp name: ablation_segformer_mit_b2_segformer_head_unet_fc_small_multi_step_ade_pretrained_freeze_embed_160k_ade20k151_finetune_ema_winit.py +2023-03-04 10:40:22,242 - mmseg - INFO - Iter [160000/160000] lr: 1.172e-06, eta: 0:00:00, time: 0.198, data_time: 0.006, memory: 52541, decode.loss_ce: 0.1819, decode.acc_seg: 92.5618, loss: 0.1819 +2023-03-04 10:51:21,496 - mmseg - INFO - per class results: +2023-03-04 10:51:21,504 - mmseg - INFO - ++---------------------+-------------------------------------------------------------------+ +| Class | IoU 0,10,20,30,40,50,60,70,80,90,99 | ++---------------------+-------------------------------------------------------------------+ +| background | nan,nan,nan,nan,nan,nan,nan,nan,nan,nan,nan | +| wall | 77.5,77.5,77.51,77.52,77.52,77.52,77.52,77.53,77.53,77.53,77.53 | +| building | 81.68,81.68,81.67,81.67,81.67,81.66,81.66,81.66,81.65,81.65,81.65 | +| sky | 94.41,94.41,94.41,94.41,94.41,94.41,94.41,94.41,94.41,94.4,94.4 | +| floor | 81.69,81.68,81.67,81.67,81.67,81.66,81.66,81.66,81.65,81.66,81.64 | +| tree | 74.25,74.24,74.24,74.25,74.24,74.24,74.24,74.23,74.23,74.22,74.23 | +| ceiling | 85.13,85.14,85.15,85.16,85.16,85.17,85.18,85.18,85.19,85.19,85.19 | +| road | 82.18,82.17,82.18,82.18,82.17,82.17,82.15,82.16,82.16,82.15,82.16 | +| bed | 87.96,88.01,88.01,87.98,87.98,87.97,87.99,87.98,88.0,87.98,87.98 | +| windowpane | 60.63,60.61,60.61,60.61,60.58,60.59,60.58,60.57,60.57,60.55,60.53 | +| grass | 67.3,67.31,67.29,67.3,67.31,67.31,67.3,67.29,67.29,67.28,67.29 | +| cabinet | 62.0,62.0,61.96,61.94,61.89,61.91,61.85,61.86,61.85,61.75,61.8 | +| sidewalk | 65.02,65.04,65.05,65.05,65.05,65.05,65.06,65.07,65.07,65.07,65.07 | +| person | 79.7,79.7,79.72,79.72,79.71,79.72,79.72,79.73,79.74,79.72,79.75 | +| earth | 36.06,36.05,36.06,36.09,36.07,36.09,36.08,36.1,36.1,36.09,36.11 | +| door | 45.86,45.86,45.86,45.86,45.84,45.83,45.84,45.82,45.83,45.82,45.81 | +| table | 61.11,61.11,61.13,61.11,61.12,61.12,61.1,61.11,61.1,61.1,61.1 | +| mountain | 57.4,57.4,57.45,57.47,57.46,57.49,57.49,57.51,57.56,57.55,57.58 | +| plant | 49.81,49.81,49.79,49.82,49.8,49.81,49.8,49.81,49.79,49.76,49.76 | +| curtain | 74.79,74.78,74.8,74.76,74.74,74.77,74.74,74.75,74.74,74.72,74.73 | +| chair | 56.61,56.6,56.6,56.62,56.62,56.61,56.62,56.63,56.62,56.62,56.62 | +| car | 82.01,82.02,82.03,82.04,82.04,82.05,82.06,82.06,82.08,82.07,82.08 | +| water | 57.01,57.02,57.01,57.01,57.02,57.03,57.03,57.03,57.04,57.02,57.03 | +| painting | 70.78,70.78,70.81,70.85,70.9,70.94,70.96,71.02,71.04,71.08,71.11 | +| sofa | 64.22,64.23,64.24,64.22,64.25,64.24,64.22,64.24,64.23,64.25,64.24 | +| shelf | 43.94,43.89,43.89,43.93,43.88,43.9,43.91,43.85,43.91,43.84,43.89 | +| house | 42.63,42.57,42.48,42.39,42.37,42.32,42.23,42.13,42.04,42.02,41.99 | +| sea | 60.21,60.24,60.25,60.26,60.27,60.28,60.31,60.31,60.32,60.33,60.35 | +| mirror | 66.56,66.54,66.55,66.58,66.61,66.55,66.57,66.58,66.59,66.57,66.6 | +| rug | 64.59,64.56,64.55,64.57,64.5,64.48,64.46,64.4,64.39,64.38,64.34 | +| field | 30.64,30.67,30.69,30.69,30.68,30.68,30.71,30.73,30.73,30.74,30.73 | +| armchair | 38.11,38.09,38.06,38.06,38.04,38.08,38.06,38.05,38.04,38.03,38.03 | +| seat | 66.67,66.6,66.6,66.6,66.55,66.58,66.55,66.52,66.53,66.5,66.51 | +| fence | 40.1,40.15,40.21,40.2,40.22,40.15,40.2,40.21,40.2,40.21,40.21 | +| desk | 46.64,46.66,46.67,46.64,46.65,46.64,46.59,46.62,46.61,46.57,46.58 | +| rock | 36.83,36.84,36.82,36.82,36.82,36.85,36.8,36.82,36.81,36.83,36.83 | +| wardrobe | 57.7,57.71,57.69,57.68,57.64,57.68,57.64,57.63,57.63,57.54,57.59 | +| lamp | 62.02,62.01,62.04,62.05,62.03,62.06,62.06,62.07,62.07,62.08,62.07 | +| bathtub | 77.28,77.22,77.23,77.27,77.24,77.23,77.21,77.2,77.16,77.19,77.12 | +| railing | 33.97,33.96,33.96,33.91,33.94,33.9,33.91,33.91,33.92,33.91,33.86 | +| cushion | 56.5,56.54,56.58,56.44,56.47,56.42,56.4,56.43,56.35,56.34,56.32 | +| base | 22.85,22.82,22.86,22.86,22.89,22.85,22.87,22.86,22.88,22.87,22.89 | +| box | 23.24,23.29,23.27,23.26,23.27,23.26,23.27,23.27,23.26,23.27,23.24 | +| column | 46.13,46.19,46.17,46.17,46.22,46.21,46.23,46.24,46.25,46.27,46.28 | +| signboard | 37.93,37.91,37.94,37.92,37.95,37.93,37.95,37.93,37.98,37.96,37.96 | +| chest of drawers | 36.52,36.5,36.46,36.39,36.4,36.36,36.33,36.28,36.26,36.22,36.2 | +| counter | 30.75,30.71,30.76,30.76,30.77,30.8,30.79,30.82,30.83,30.83,30.82 | +| sand | 43.7,43.66,43.81,43.77,43.84,43.89,43.9,43.94,44.01,44.02,44.14 | +| sink | 67.99,68.0,67.98,68.01,68.05,68.03,68.04,68.02,68.01,68.03,68.03 | +| skyscraper | 52.21,52.14,52.13,51.89,51.92,51.74,51.74,51.53,51.52,51.55,51.54 | +| fireplace | 75.09,75.03,75.03,75.02,75.03,74.98,75.01,74.98,74.96,74.95,74.91 | +| refrigerator | 75.01,74.99,74.95,75.03,74.93,74.95,74.91,74.88,74.85,74.79,74.77 | +| grandstand | 53.33,53.26,53.2,53.14,53.17,53.04,53.08,53.03,52.95,52.91,52.96 | +| path | 22.25,22.27,22.28,22.28,22.32,22.29,22.28,22.31,22.32,22.3,22.31 | +| stairs | 31.38,31.38,31.35,31.33,31.32,31.24,31.24,31.22,31.17,31.18,31.16 | +| runway | 67.73,67.71,67.7,67.68,67.65,67.62,67.58,67.58,67.57,67.53,67.55 | +| case | 48.91,48.88,48.86,48.86,48.86,48.82,48.85,48.83,48.8,48.84,48.81 | +| pool table | 91.95,91.93,91.96,91.9,91.91,91.89,91.88,91.87,91.86,91.87,91.83 | +| pillow | 60.36,60.43,60.52,60.42,60.45,60.5,60.55,60.58,60.62,60.62,60.68 | +| screen door | 70.27,70.36,70.43,70.51,70.42,70.41,70.41,70.46,70.44,70.41,70.39 | +| stairway | 23.58,23.62,23.59,23.57,23.6,23.56,23.52,23.52,23.57,23.54,23.51 | +| river | 11.88,11.88,11.88,11.88,11.88,11.88,11.88,11.88,11.88,11.88,11.88 | +| bridge | 32.32,32.29,32.22,32.17,32.16,32.07,32.04,31.96,31.94,31.9,31.93 | +| bookcase | 45.44,45.34,45.35,45.37,45.36,45.43,45.41,45.32,45.45,45.38,45.46 | +| blind | 39.69,39.73,39.7,39.61,39.65,39.56,39.56,39.52,39.53,39.54,39.51 | +| coffee table | 53.52,53.47,53.4,53.36,53.3,53.28,53.26,53.23,53.19,53.1,53.15 | +| toilet | 84.08,84.08,84.11,84.12,84.14,84.2,84.17,84.21,84.23,84.2,84.26 | +| flower | 38.57,38.62,38.59,38.61,38.63,38.64,38.63,38.67,38.66,38.69,38.66 | +| book | 44.6,44.6,44.6,44.6,44.68,44.67,44.65,44.66,44.68,44.69,44.72 | +| hill | 15.6,15.65,15.67,15.69,15.7,15.7,15.77,15.78,15.8,15.84,15.84 | +| bench | 43.02,43.04,43.05,43.03,43.02,42.96,43.0,42.96,42.96,42.94,42.92 | +| countertop | 56.04,56.02,56.04,56.08,56.19,56.15,56.21,56.23,56.21,56.24,56.24 | +| stove | 72.91,72.9,72.94,72.91,72.91,72.93,72.91,72.91,72.89,72.89,72.91 | +| palm | 48.45,48.47,48.44,48.48,48.49,48.45,48.48,48.48,48.5,48.49,48.47 | +| kitchen island | 45.7,45.53,45.34,45.31,45.19,45.42,45.09,45.18,45.09,44.71,45.04 | +| computer | 60.6,60.61,60.62,60.6,60.61,60.63,60.64,60.64,60.65,60.64,60.64 | +| swivel chair | 43.26,43.19,43.24,43.23,43.2,43.18,43.18,43.16,43.18,43.14,43.12 | +| boat | 72.34,72.32,72.33,72.36,72.43,72.46,72.47,72.48,72.52,72.59,72.62 | +| bar | 24.0,24.0,23.98,23.98,23.95,23.97,23.95,23.94,23.93,23.93,23.93 | +| arcade machine | 69.81,70.0,70.02,70.0,70.06,70.13,70.21,70.28,70.39,70.34,70.5 | +| hovel | 33.71,33.49,33.58,33.51,33.52,33.49,33.29,33.3,33.25,33.2,33.15 | +| bus | 80.01,79.98,79.96,79.95,79.93,79.9,79.9,79.91,79.86,79.86,79.81 | +| towel | 63.15,63.19,63.24,63.23,63.25,63.23,63.29,63.28,63.31,63.31,63.3 | +| light | 54.78,54.74,54.67,54.67,54.64,54.53,54.49,54.44,54.43,54.35,54.24 | +| truck | 18.91,18.97,18.9,18.93,18.88,18.86,18.9,18.92,18.95,18.85,18.91 | +| tower | 6.61,6.74,6.78,6.63,6.66,6.46,6.47,6.45,6.29,6.39,6.35 | +| chandelier | 64.46,64.44,64.46,64.49,64.49,64.52,64.5,64.53,64.53,64.53,64.53 | +| awning | 23.99,23.87,23.84,23.88,23.78,23.66,23.6,23.47,23.5,23.32,23.37 | +| streetlight | 27.38,27.31,27.32,27.35,27.4,27.46,27.38,27.42,27.47,27.47,27.5 | +| booth | 47.26,47.4,47.26,47.57,47.64,47.43,47.52,47.52,47.61,47.6,47.55 | +| television receiver | 63.91,63.95,63.93,63.94,63.95,64.03,63.99,64.0,63.98,64.02,64.03 | +| airplane | 60.82,60.82,60.84,60.84,60.85,60.83,60.81,60.87,60.85,60.87,60.86 | +| dirt track | 20.56,20.59,20.66,20.69,20.67,20.78,20.89,20.94,21.03,21.04,20.93 | +| apparel | 34.14,34.13,34.04,34.03,34.01,34.05,33.88,33.95,33.9,33.9,33.83 | +| pole | 19.37,19.4,19.38,19.32,19.32,19.28,19.27,19.26,19.27,19.2,19.18 | +| land | 3.58,3.59,3.6,3.62,3.61,3.6,3.62,3.63,3.63,3.62,3.63 | +| bannister | 12.9,12.89,12.91,12.9,12.95,12.89,12.9,12.91,12.89,12.98,12.94 | +| escalator | 24.8,24.84,24.77,24.79,24.73,24.71,24.78,24.78,24.77,24.76,24.7 | +| ottoman | 42.0,42.08,42.15,41.94,41.91,41.99,42.1,42.0,41.95,41.91,41.89 | +| bottle | 33.95,34.02,34.04,34.01,33.94,33.96,33.93,33.98,33.93,33.97,33.95 | +| buffet | 42.62,42.6,42.6,42.53,42.5,42.5,42.33,42.32,42.2,42.31,42.04 | +| poster | 22.56,22.56,22.59,22.62,22.61,22.62,22.66,22.66,22.68,22.66,22.69 | +| stage | 15.77,15.75,15.75,15.77,15.75,15.76,15.79,15.73,15.75,15.75,15.71 | +| van | 37.84,37.87,37.86,37.86,37.87,37.84,37.87,37.79,37.83,37.81,37.81 | +| ship | 82.14,82.13,82.13,82.14,82.12,82.2,82.22,82.19,82.18,82.24,82.23 | +| fountain | 20.4,20.37,20.39,20.4,20.47,20.54,20.56,20.6,20.63,20.59,20.61 | +| conveyer belt | 85.09,85.08,85.1,85.11,85.15,85.2,85.16,85.15,85.18,85.18,85.24 | +| canopy | 25.97,26.02,26.07,25.98,26.06,25.95,25.95,25.97,25.99,25.92,25.9 | +| washer | 74.69,74.69,74.84,74.75,74.88,74.82,74.82,74.9,74.96,75.02,75.02 | +| plaything | 19.85,19.91,19.89,19.95,20.04,19.93,20.07,20.05,19.94,19.94,20.27 | +| swimming pool | 72.6,72.68,72.64,72.58,72.57,72.49,72.53,72.57,72.47,72.6,72.39 | +| stool | 43.46,43.46,43.42,43.44,43.41,43.39,43.42,43.43,43.42,43.38,43.36 | +| barrel | 47.42,47.87,47.93,48.33,47.48,47.23,47.63,47.57,47.23,47.6,47.25 | +| basket | 24.55,24.5,24.5,24.51,24.5,24.53,24.57,24.52,24.53,24.55,24.53 | +| waterfall | 47.71,47.63,47.69,47.62,47.69,47.7,47.63,47.67,47.63,47.62,47.66 | +| tent | 94.76,94.79,94.8,94.81,94.8,94.79,94.79,94.81,94.8,94.81,94.8 | +| bag | 15.81,15.87,15.85,15.93,15.95,15.94,16.08,16.05,16.06,16.16,16.16 | +| minibike | 62.16,62.22,62.14,62.12,62.13,62.17,62.1,62.12,62.06,62.04,62.02 | +| cradle | 84.27,84.25,84.31,84.27,84.28,84.28,84.3,84.28,84.27,84.32,84.3 | +| oven | 47.49,47.54,47.54,47.53,47.54,47.53,47.42,47.48,47.44,47.49,47.52 | +| ball | 45.88,45.98,45.92,46.04,46.07,46.05,46.15,46.17,46.18,46.26,46.15 | +| food | 53.84,53.82,53.87,53.92,54.06,54.14,54.16,54.23,54.24,54.36,54.37 | +| step | 6.81,6.79,6.7,6.64,6.61,6.5,6.5,6.41,6.39,6.31,6.28 | +| tank | 52.21,52.14,52.19,52.17,52.22,52.26,52.19,52.24,52.32,52.21,52.21 | +| trade name | 26.75,26.88,26.76,26.73,26.65,26.62,26.59,26.59,26.7,26.56,26.67 | +| microwave | 71.04,70.96,71.02,71.04,71.09,71.19,71.01,71.16,71.12,71.2,71.16 | +| pot | 29.86,29.85,29.79,29.85,29.82,29.8,29.82,29.83,29.81,29.82,29.8 | +| animal | 54.49,54.46,54.43,54.43,54.42,54.42,54.38,54.37,54.36,54.36,54.34 | +| bicycle | 54.45,54.53,54.55,54.48,54.52,54.51,54.52,54.51,54.54,54.53,54.51 | +| lake | 57.42,57.44,57.43,57.47,57.45,57.47,57.49,57.47,57.48,57.49,57.46 | +| dishwasher | 66.45,66.52,66.47,66.51,66.59,66.64,66.65,66.66,66.65,66.65,66.71 | +| screen | 68.43,68.38,68.25,68.31,68.31,68.27,68.33,68.21,68.23,68.22,68.27 | +| blanket | 17.72,17.71,17.84,17.81,17.85,17.9,17.9,17.88,17.93,17.98,18.04 | +| sculpture | 59.15,59.17,59.13,59.17,59.04,59.1,59.09,59.06,59.09,58.89,59.16 | +| hood | 57.73,57.81,57.79,57.81,57.79,57.78,57.96,57.94,57.93,57.94,57.92 | +| sconce | 44.23,44.29,44.28,44.34,44.3,44.27,44.36,44.32,44.32,44.34,44.31 | +| vase | 37.25,37.32,37.28,37.36,37.26,37.28,37.28,37.32,37.3,37.29,37.29 | +| traffic light | 32.81,32.82,32.85,32.78,32.82,32.82,32.81,32.81,32.86,32.84,32.84 | +| tray | 8.18,8.22,8.38,8.37,8.46,8.54,8.52,8.59,8.76,8.72,8.82 | +| ashcan | 40.22,40.2,40.38,40.28,40.29,40.39,40.28,40.32,40.33,40.32,40.37 | +| fan | 58.01,57.99,58.05,58.08,58.06,58.06,58.08,58.15,58.11,58.11,58.19 | +| pier | 52.02,52.09,52.08,52.3,52.31,52.55,52.6,52.63,52.58,52.69,52.72 | +| crt screen | 10.77,10.76,10.82,10.84,10.86,10.85,10.87,10.91,10.91,10.9,10.92 | +| plate | 52.85,52.83,52.84,52.82,52.85,52.77,52.78,52.77,52.78,52.8,52.78 | +| monitor | 18.46,18.51,18.44,18.56,18.62,18.6,18.69,18.72,18.62,18.79,18.75 | +| bulletin board | 38.78,38.77,38.94,38.96,38.94,38.99,38.9,38.98,39.06,39.13,39.0 | +| shower | 2.18,2.21,2.21,2.19,2.21,2.2,2.19,2.2,2.18,2.19,2.18 | +| radiator | 59.35,59.37,59.42,59.32,59.38,59.33,59.34,59.33,59.38,59.41,59.5 | +| glass | 13.14,13.19,13.09,13.1,13.09,13.13,13.1,13.15,13.14,13.14,13.14 | +| clock | 36.55,36.64,36.68,36.61,36.74,36.59,36.69,36.67,36.81,36.81,36.67 | +| flag | 33.12,33.09,33.08,33.02,33.01,32.95,32.95,32.89,32.92,32.83,32.83 | ++---------------------+-------------------------------------------------------------------+ +2023-03-04 10:51:21,504 - mmseg - INFO - Summary: +2023-03-04 10:51:21,505 - mmseg - INFO - ++-------------------------------------------------------------------+ +| mIoU 0,10,20,30,40,50,60,70,80,90,99 | ++-------------------------------------------------------------------+ +| 48.84,48.85,48.85,48.85,48.85,48.84,48.84,48.84,48.84,48.84,48.84 | ++-------------------------------------------------------------------+ +2023-03-04 10:51:21,505 - mmseg - INFO - Exp name: ablation_segformer_mit_b2_segformer_head_unet_fc_small_multi_step_ade_pretrained_freeze_embed_160k_ade20k151_finetune_ema_winit.py +2023-03-04 10:51:21,505 - mmseg - INFO - Iter(val) [250] mIoU: [0.4884, 0.4885, 0.4885, 0.4885, 0.4885, 0.4884, 0.4884, 0.4884, 0.4884, 0.4884, 0.4884], copy_paste: 48.84,48.85,48.85,48.85,48.85,48.84,48.84,48.84,48.84,48.84,48.84 diff --git a/ablation/ablation_segformer_mit_b2_segformer_head_unet_fc_small_multi_step_ade_pretrained_freeze_embed_160k_ade20k151_finetune_ema_winit/20230304_011125.log.json b/ablation/ablation_segformer_mit_b2_segformer_head_unet_fc_small_multi_step_ade_pretrained_freeze_embed_160k_ade20k151_finetune_ema_winit/20230304_011125.log.json new file mode 100644 index 0000000000000000000000000000000000000000..b52a7ec917f4f21d1a5fd6bff225fce5d1937131 --- /dev/null +++ b/ablation/ablation_segformer_mit_b2_segformer_head_unet_fc_small_multi_step_ade_pretrained_freeze_embed_160k_ade20k151_finetune_ema_winit/20230304_011125.log.json @@ -0,0 +1,3211 @@ +{"env_info": "sys.platform: linux\nPython: 3.7.16 (default, Jan 17 2023, 22:20:44) [GCC 11.2.0]\nCUDA available: True\nGPU 0,1,2,3,4,5,6,7: NVIDIA A100-SXM4-80GB\nCUDA_HOME: /mnt/petrelfs/laizeqiang/miniconda3/envs/torch\nNVCC: Cuda compilation tools, release 11.6, V11.6.124\nGCC: gcc (GCC) 4.8.5 20150623 (Red Hat 4.8.5-44)\nPyTorch: 1.13.1\nPyTorch compiling details: PyTorch built with:\n - GCC 9.3\n - C++ Version: 201402\n - Intel(R) oneAPI Math Kernel Library Version 2021.4-Product Build 20210904 for Intel(R) 64 architecture applications\n - Intel(R) MKL-DNN v2.6.0 (Git Hash 52b5f107dd9cf10910aaa19cb47f3abf9b349815)\n - OpenMP 201511 (a.k.a. OpenMP 4.5)\n - LAPACK is enabled (usually provided by MKL)\n - NNPACK is enabled\n - CPU capability usage: AVX2\n - CUDA Runtime 11.6\n - NVCC architecture flags: -gencode;arch=compute_37,code=sm_37;-gencode;arch=compute_50,code=sm_50;-gencode;arch=compute_60,code=sm_60;-gencode;arch=compute_61,code=sm_61;-gencode;arch=compute_70,code=sm_70;-gencode;arch=compute_75,code=sm_75;-gencode;arch=compute_80,code=sm_80;-gencode;arch=compute_86,code=sm_86;-gencode;arch=compute_37,code=compute_37\n - CuDNN 8.3.2 (built against CUDA 11.5)\n - Magma 2.6.1\n - Build settings: BLAS_INFO=mkl, BUILD_TYPE=Release, CUDA_VERSION=11.6, CUDNN_VERSION=8.3.2, CXX_COMPILER=/opt/rh/devtoolset-9/root/usr/bin/c++, CXX_FLAGS= -fabi-version=11 -Wno-deprecated -fvisibility-inlines-hidden -DUSE_PTHREADPOOL -fopenmp -DNDEBUG -DUSE_KINETO -DUSE_FBGEMM -DUSE_QNNPACK -DUSE_PYTORCH_QNNPACK -DUSE_XNNPACK -DSYMBOLICATE_MOBILE_DEBUG_HANDLE -DEDGE_PROFILER_USE_KINETO -O2 -fPIC -Wno-narrowing -Wall -Wextra -Werror=return-type -Werror=non-virtual-dtor -Wno-missing-field-initializers -Wno-type-limits -Wno-array-bounds -Wno-unknown-pragmas -Wunused-local-typedefs -Wno-unused-parameter -Wno-unused-function -Wno-unused-result -Wno-strict-overflow -Wno-strict-aliasing -Wno-error=deprecated-declarations -Wno-stringop-overflow -Wno-psabi -Wno-error=pedantic -Wno-error=redundant-decls -Wno-error=old-style-cast -fdiagnostics-color=always -faligned-new -Wno-unused-but-set-variable -Wno-maybe-uninitialized -fno-math-errno -fno-trapping-math -Werror=format -Werror=cast-function-type -Wno-stringop-overflow, LAPACK_INFO=mkl, PERF_WITH_AVX=1, PERF_WITH_AVX2=1, PERF_WITH_AVX512=1, TORCH_VERSION=1.13.1, USE_CUDA=ON, USE_CUDNN=ON, USE_EXCEPTION_PTR=1, USE_GFLAGS=OFF, USE_GLOG=OFF, USE_MKL=ON, USE_MKLDNN=ON, USE_MPI=OFF, USE_NCCL=ON, USE_NNPACK=ON, USE_OPENMP=ON, USE_ROCM=OFF, \n\nTorchVision: 0.14.1\nOpenCV: 4.7.0\nMMCV: 1.7.1\nMMCV Compiler: GCC 9.3\nMMCV CUDA Compiler: 11.6\nMMSegmentation: 0.30.0+ab851eb", "seed": 894341245, "exp_name": "ablation_segformer_mit_b2_segformer_head_unet_fc_small_multi_step_ade_pretrained_freeze_embed_160k_ade20k151_finetune_ema_winit.py", "mmseg_version": "0.30.0+ab851eb", "config": "norm_cfg = dict(type='SyncBN', requires_grad=True)\ncheckpoint = 'work_dirs2/segformer_mit_b2_segformer_head_unet_fc_single_step_ade_pretrained_freeze_embed_80k_ade20k151/best_mIoU_iter_64000.pth'\nmodel = dict(\n type='EncoderDecoderDiffusion',\n freeze_parameters=['backbone', 'decode_head'],\n pretrained=\n 'work_dirs2/segformer_mit_b2_segformer_head_unet_fc_single_step_ade_pretrained_freeze_embed_80k_ade20k151/best_mIoU_iter_64000.pth',\n backbone=dict(\n type='MixVisionTransformerCustomInitWeights',\n in_channels=3,\n embed_dims=64,\n num_stages=4,\n num_layers=[3, 4, 6, 3],\n num_heads=[1, 2, 5, 8],\n patch_sizes=[7, 3, 3, 3],\n sr_ratios=[8, 4, 2, 1],\n out_indices=(0, 1, 2, 3),\n mlp_ratio=4,\n qkv_bias=True,\n drop_rate=0.0,\n attn_drop_rate=0.0,\n drop_path_rate=0.1,\n pretrained=\n 'work_dirs2/segformer_mit_b2_segformer_head_unet_fc_single_step_ade_pretrained_freeze_embed_80k_ade20k151/best_mIoU_iter_64000.pth'\n ),\n decode_head=dict(\n type='SegformerHeadUnetFCHeadMultiStepWithInit',\n pretrained=\n 'work_dirs2/segformer_mit_b2_segformer_head_unet_fc_single_step_ade_pretrained_freeze_embed_80k_ade20k151/best_mIoU_iter_64000.pth',\n dim=128,\n out_dim=256,\n unet_channels=272,\n dim_mults=[1, 1, 1],\n cat_embedding_dim=16,\n diffusion_timesteps=100,\n collect_timesteps=[0, 10, 20, 30, 40, 50, 60, 70, 80, 90, 99],\n in_channels=[64, 128, 320, 512],\n in_index=[0, 1, 2, 3],\n channels=256,\n dropout_ratio=0.1,\n num_classes=151,\n norm_cfg=dict(type='SyncBN', requires_grad=True),\n align_corners=False,\n ignore_index=0,\n loss_decode=dict(\n type='CrossEntropyLoss', use_sigmoid=False, loss_weight=1.0)),\n train_cfg=dict(),\n test_cfg=dict(mode='whole'))\ndataset_type = 'ADE20K151Dataset'\ndata_root = 'data/ade/ADEChallengeData2016'\nimg_norm_cfg = dict(\n mean=[123.675, 116.28, 103.53], std=[58.395, 57.12, 57.375], to_rgb=True)\ncrop_size = (512, 512)\ntrain_pipeline = [\n dict(type='LoadImageFromFile'),\n dict(type='LoadAnnotations', reduce_zero_label=False),\n dict(type='Resize', img_scale=(2048, 512), ratio_range=(0.5, 2.0)),\n dict(type='RandomCrop', crop_size=(512, 512), cat_max_ratio=0.75),\n dict(type='RandomFlip', prob=0.5),\n dict(type='PhotoMetricDistortion'),\n dict(\n type='Normalize',\n mean=[123.675, 116.28, 103.53],\n std=[58.395, 57.12, 57.375],\n to_rgb=True),\n dict(type='Pad', size=(512, 512), pad_val=0, seg_pad_val=0),\n dict(type='DefaultFormatBundle'),\n dict(type='Collect', keys=['img', 'gt_semantic_seg'])\n]\ntest_pipeline = [\n dict(type='LoadImageFromFile'),\n dict(\n type='MultiScaleFlipAug',\n img_scale=(2048, 512),\n flip=False,\n transforms=[\n dict(type='Resize', keep_ratio=True),\n dict(type='RandomFlip'),\n dict(\n type='Normalize',\n mean=[123.675, 116.28, 103.53],\n std=[58.395, 57.12, 57.375],\n to_rgb=True),\n dict(type='Pad', size_divisor=16, pad_val=0, seg_pad_val=0),\n dict(type='ImageToTensor', keys=['img']),\n dict(type='Collect', keys=['img'])\n ])\n]\ndata = dict(\n samples_per_gpu=4,\n workers_per_gpu=4,\n train=dict(\n type='ADE20K151Dataset',\n data_root='data/ade/ADEChallengeData2016',\n img_dir='images/training',\n ann_dir='annotations/training',\n pipeline=[\n dict(type='LoadImageFromFile'),\n dict(type='LoadAnnotations', reduce_zero_label=False),\n dict(type='Resize', img_scale=(2048, 512), ratio_range=(0.5, 2.0)),\n dict(type='RandomCrop', crop_size=(512, 512), cat_max_ratio=0.75),\n dict(type='RandomFlip', prob=0.5),\n dict(type='PhotoMetricDistortion'),\n dict(\n type='Normalize',\n mean=[123.675, 116.28, 103.53],\n std=[58.395, 57.12, 57.375],\n to_rgb=True),\n dict(type='Pad', size=(512, 512), pad_val=0, seg_pad_val=0),\n dict(type='DefaultFormatBundle'),\n dict(type='Collect', keys=['img', 'gt_semantic_seg'])\n ]),\n val=dict(\n type='ADE20K151Dataset',\n data_root='data/ade/ADEChallengeData2016',\n img_dir='images/validation',\n ann_dir='annotations/validation',\n pipeline=[\n dict(type='LoadImageFromFile'),\n dict(\n type='MultiScaleFlipAug',\n img_scale=(2048, 512),\n flip=False,\n transforms=[\n dict(type='Resize', keep_ratio=True),\n dict(type='RandomFlip'),\n dict(\n type='Normalize',\n mean=[123.675, 116.28, 103.53],\n std=[58.395, 57.12, 57.375],\n to_rgb=True),\n dict(\n type='Pad', size_divisor=16, pad_val=0, seg_pad_val=0),\n dict(type='ImageToTensor', keys=['img']),\n dict(type='Collect', keys=['img'])\n ])\n ]),\n test=dict(\n type='ADE20K151Dataset',\n data_root='data/ade/ADEChallengeData2016',\n img_dir='images/validation',\n ann_dir='annotations/validation',\n pipeline=[\n dict(type='LoadImageFromFile'),\n dict(\n type='MultiScaleFlipAug',\n img_scale=(2048, 512),\n flip=False,\n transforms=[\n dict(type='Resize', keep_ratio=True),\n dict(type='RandomFlip'),\n dict(\n type='Normalize',\n mean=[123.675, 116.28, 103.53],\n std=[58.395, 57.12, 57.375],\n to_rgb=True),\n dict(\n type='Pad', size_divisor=16, pad_val=0, seg_pad_val=0),\n dict(type='ImageToTensor', keys=['img']),\n dict(type='Collect', keys=['img'])\n ])\n ]))\nlog_config = dict(\n interval=50, hooks=[dict(type='TextLoggerHook', by_epoch=False)])\ndist_params = dict(backend='nccl')\nlog_level = 'INFO'\nload_from = None\nresume_from = None\nworkflow = [('train', 1)]\ncudnn_benchmark = True\noptimizer = dict(\n type='AdamW', lr=0.00015, betas=[0.9, 0.96], weight_decay=0.045)\noptimizer_config = dict()\nlr_config = dict(\n policy='step',\n warmup='linear',\n warmup_iters=1000,\n warmup_ratio=1e-06,\n step=20000,\n gamma=0.5,\n min_lr=1e-06,\n by_epoch=False)\nrunner = dict(type='IterBasedRunner', max_iters=160000)\ncheckpoint_config = dict(by_epoch=False, interval=16000, max_keep_ckpts=1)\nevaluation = dict(\n interval=16000, metric='mIoU', pre_eval=True, save_best='mIoU')\ncustom_hooks = [\n dict(\n type='ConstantMomentumEMAHook',\n momentum=0.01,\n interval=25,\n eval_interval=16000,\n auto_resume=True,\n priority=49)\n]\nwork_dir = './work_dirs2/ablation_segformer_mit_b2_segformer_head_unet_fc_small_multi_step_ade_pretrained_freeze_embed_160k_ade20k151_finetune_ema_winit'\ngpu_ids = range(0, 8)\nauto_resume = True\ndevice = 'cuda'\nseed = 894341245\n", "CLASSES": ["background", "wall", "building", "sky", "floor", "tree", "ceiling", "road", "bed ", "windowpane", "grass", "cabinet", "sidewalk", "person", "earth", "door", "table", "mountain", "plant", "curtain", "chair", "car", "water", "painting", "sofa", "shelf", "house", "sea", "mirror", "rug", "field", "armchair", "seat", "fence", "desk", "rock", "wardrobe", "lamp", "bathtub", "railing", "cushion", "base", "box", "column", "signboard", "chest of drawers", "counter", "sand", "sink", "skyscraper", "fireplace", "refrigerator", "grandstand", "path", "stairs", "runway", "case", "pool table", "pillow", "screen door", "stairway", "river", "bridge", "bookcase", "blind", "coffee table", "toilet", "flower", "book", "hill", "bench", "countertop", "stove", "palm", "kitchen island", "computer", "swivel chair", "boat", "bar", "arcade machine", "hovel", "bus", "towel", "light", "truck", "tower", "chandelier", "awning", "streetlight", "booth", "television receiver", "airplane", "dirt track", "apparel", "pole", "land", "bannister", "escalator", "ottoman", "bottle", "buffet", "poster", "stage", "van", "ship", "fountain", "conveyer belt", "canopy", "washer", "plaything", "swimming pool", "stool", "barrel", "basket", "waterfall", "tent", "bag", "minibike", "cradle", "oven", "ball", "food", "step", "tank", "trade name", "microwave", "pot", "animal", "bicycle", "lake", "dishwasher", "screen", "blanket", "sculpture", "hood", "sconce", "vase", "traffic light", "tray", "ashcan", "fan", "pier", "crt screen", "plate", "monitor", "bulletin board", "shower", "radiator", "glass", "clock", "flag"], "PALETTE": [[0, 0, 0], [120, 120, 120], [180, 120, 120], [6, 230, 230], [80, 50, 50], [4, 200, 3], [120, 120, 80], [140, 140, 140], [204, 5, 255], [230, 230, 230], [4, 250, 7], [224, 5, 255], [235, 255, 7], [150, 5, 61], [120, 120, 70], [8, 255, 51], [255, 6, 82], [143, 255, 140], [204, 255, 4], [255, 51, 7], [204, 70, 3], [0, 102, 200], [61, 230, 250], [255, 6, 51], [11, 102, 255], [255, 7, 71], [255, 9, 224], [9, 7, 230], [220, 220, 220], [255, 9, 92], [112, 9, 255], [8, 255, 214], [7, 255, 224], [255, 184, 6], [10, 255, 71], [255, 41, 10], [7, 255, 255], [224, 255, 8], [102, 8, 255], [255, 61, 6], [255, 194, 7], [255, 122, 8], [0, 255, 20], [255, 8, 41], [255, 5, 153], [6, 51, 255], [235, 12, 255], [160, 150, 20], [0, 163, 255], [140, 140, 140], [250, 10, 15], [20, 255, 0], [31, 255, 0], [255, 31, 0], [255, 224, 0], [153, 255, 0], [0, 0, 255], [255, 71, 0], [0, 235, 255], [0, 173, 255], [31, 0, 255], [11, 200, 200], [255, 82, 0], [0, 255, 245], [0, 61, 255], [0, 255, 112], 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"48.84,48.85,48.85,48.85,48.85,48.84,48.84,48.84,48.84,48.84,48.84"} diff --git a/ablation/ablation_segformer_mit_b2_segformer_head_unet_fc_small_multi_step_ade_pretrained_freeze_embed_160k_ade20k151_finetune_ema_winit/ablation_segformer_mit_b2_segformer_head_unet_fc_small_multi_step_ade_pretrained_freeze_embed_160k_ade20k151_finetune_ema_winit.py b/ablation/ablation_segformer_mit_b2_segformer_head_unet_fc_small_multi_step_ade_pretrained_freeze_embed_160k_ade20k151_finetune_ema_winit/ablation_segformer_mit_b2_segformer_head_unet_fc_small_multi_step_ade_pretrained_freeze_embed_160k_ade20k151_finetune_ema_winit.py new file mode 100644 index 0000000000000000000000000000000000000000..ef0b03673b6f5f13c5bf20b5bbffdcd482d7ab29 --- /dev/null +++ b/ablation/ablation_segformer_mit_b2_segformer_head_unet_fc_small_multi_step_ade_pretrained_freeze_embed_160k_ade20k151_finetune_ema_winit/ablation_segformer_mit_b2_segformer_head_unet_fc_small_multi_step_ade_pretrained_freeze_embed_160k_ade20k151_finetune_ema_winit.py @@ -0,0 +1,195 @@ +norm_cfg = dict(type='SyncBN', requires_grad=True) +checkpoint = 'work_dirs2/segformer_mit_b2_segformer_head_unet_fc_single_step_ade_pretrained_freeze_embed_80k_ade20k151/best_mIoU_iter_64000.pth' +model = dict( + type='EncoderDecoderDiffusion', + freeze_parameters=['backbone', 'decode_head'], + pretrained= + 'work_dirs2/segformer_mit_b2_segformer_head_unet_fc_single_step_ade_pretrained_freeze_embed_80k_ade20k151/best_mIoU_iter_64000.pth', + backbone=dict( + type='MixVisionTransformerCustomInitWeights', + in_channels=3, + embed_dims=64, + num_stages=4, + num_layers=[3, 4, 6, 3], + num_heads=[1, 2, 5, 8], + patch_sizes=[7, 3, 3, 3], + sr_ratios=[8, 4, 2, 1], + out_indices=(0, 1, 2, 3), + mlp_ratio=4, + qkv_bias=True, + drop_rate=0.0, + attn_drop_rate=0.0, + drop_path_rate=0.1), + decode_head=dict( + type='SegformerHeadUnetFCHeadMultiStepWithInit', + pretrained= + 'work_dirs2/segformer_mit_b2_segformer_head_unet_fc_single_step_ade_pretrained_freeze_embed_80k_ade20k151/best_mIoU_iter_64000.pth', + dim=128, + out_dim=256, + unet_channels=272, + dim_mults=[1, 1, 1], + cat_embedding_dim=16, + diffusion_timesteps=100, + collect_timesteps=[0, 10, 20, 30, 40, 50, 60, 70, 80, 90, 99], + in_channels=[64, 128, 320, 512], + in_index=[0, 1, 2, 3], + channels=256, + dropout_ratio=0.1, + num_classes=151, + norm_cfg=dict(type='SyncBN', requires_grad=True), + align_corners=False, + ignore_index=0, + loss_decode=dict( + type='CrossEntropyLoss', use_sigmoid=False, loss_weight=1.0)), + train_cfg=dict(), + test_cfg=dict(mode='whole')) +dataset_type = 'ADE20K151Dataset' +data_root = 'data/ade/ADEChallengeData2016' +img_norm_cfg = dict( + mean=[123.675, 116.28, 103.53], std=[58.395, 57.12, 57.375], to_rgb=True) +crop_size = (512, 512) +train_pipeline = [ + dict(type='LoadImageFromFile'), + dict(type='LoadAnnotations', reduce_zero_label=False), + dict(type='Resize', img_scale=(2048, 512), ratio_range=(0.5, 2.0)), + dict(type='RandomCrop', crop_size=(512, 512), cat_max_ratio=0.75), + dict(type='RandomFlip', prob=0.5), + dict(type='PhotoMetricDistortion'), + dict( + type='Normalize', + mean=[123.675, 116.28, 103.53], + std=[58.395, 57.12, 57.375], + to_rgb=True), + dict(type='Pad', size=(512, 512), pad_val=0, seg_pad_val=0), + dict(type='DefaultFormatBundle'), + dict(type='Collect', keys=['img', 'gt_semantic_seg']) +] +test_pipeline = [ + dict(type='LoadImageFromFile'), + dict( + type='MultiScaleFlipAug', + img_scale=(2048, 512), + flip=False, + transforms=[ + dict(type='Resize', keep_ratio=True), + dict(type='RandomFlip'), + dict( + type='Normalize', + mean=[123.675, 116.28, 103.53], + std=[58.395, 57.12, 57.375], + to_rgb=True), + dict(type='Pad', size_divisor=16, pad_val=0, seg_pad_val=0), + dict(type='ImageToTensor', keys=['img']), + dict(type='Collect', keys=['img']) + ]) +] +data = dict( + samples_per_gpu=4, + workers_per_gpu=4, + train=dict( + type='ADE20K151Dataset', + data_root='data/ade/ADEChallengeData2016', + img_dir='images/training', + ann_dir='annotations/training', + pipeline=[ + dict(type='LoadImageFromFile'), + dict(type='LoadAnnotations', reduce_zero_label=False), + dict(type='Resize', img_scale=(2048, 512), ratio_range=(0.5, 2.0)), + dict(type='RandomCrop', crop_size=(512, 512), cat_max_ratio=0.75), + dict(type='RandomFlip', prob=0.5), + dict(type='PhotoMetricDistortion'), + dict( + type='Normalize', + mean=[123.675, 116.28, 103.53], + std=[58.395, 57.12, 57.375], + to_rgb=True), + dict(type='Pad', size=(512, 512), pad_val=0, seg_pad_val=0), + dict(type='DefaultFormatBundle'), + dict(type='Collect', keys=['img', 'gt_semantic_seg']) + ]), + val=dict( + type='ADE20K151Dataset', + data_root='data/ade/ADEChallengeData2016', + img_dir='images/validation', + ann_dir='annotations/validation', + pipeline=[ + dict(type='LoadImageFromFile'), + dict( + type='MultiScaleFlipAug', + img_scale=(2048, 512), + flip=False, + transforms=[ + dict(type='Resize', keep_ratio=True), + dict(type='RandomFlip'), + dict( + type='Normalize', + mean=[123.675, 116.28, 103.53], + std=[58.395, 57.12, 57.375], + to_rgb=True), + dict( + type='Pad', size_divisor=16, pad_val=0, seg_pad_val=0), + dict(type='ImageToTensor', keys=['img']), + dict(type='Collect', keys=['img']) + ]) + ]), + test=dict( + type='ADE20K151Dataset', + data_root='data/ade/ADEChallengeData2016', + img_dir='images/validation', + ann_dir='annotations/validation', + pipeline=[ + dict(type='LoadImageFromFile'), + dict( + type='MultiScaleFlipAug', + img_scale=(2048, 512), + flip=False, + transforms=[ + dict(type='Resize', keep_ratio=True), + dict(type='RandomFlip'), + dict( + type='Normalize', + mean=[123.675, 116.28, 103.53], + std=[58.395, 57.12, 57.375], + to_rgb=True), + dict( + type='Pad', size_divisor=16, pad_val=0, seg_pad_val=0), + dict(type='ImageToTensor', keys=['img']), + dict(type='Collect', keys=['img']) + ]) + ])) +log_config = dict( + interval=50, hooks=[dict(type='TextLoggerHook', by_epoch=False)]) +dist_params = dict(backend='nccl') +log_level = 'INFO' +load_from = None +resume_from = None +workflow = [('train', 1)] +cudnn_benchmark = True +optimizer = dict( + type='AdamW', lr=0.00015, betas=[0.9, 0.96], weight_decay=0.045) +optimizer_config = dict() +lr_config = dict( + policy='step', + warmup='linear', + warmup_iters=1000, + warmup_ratio=1e-06, + step=20000, + gamma=0.5, + min_lr=1e-06, + by_epoch=False) +runner = dict(type='IterBasedRunner', max_iters=160000) +checkpoint_config = dict(by_epoch=False, interval=16000, max_keep_ckpts=1) +evaluation = dict( + interval=16000, metric='mIoU', pre_eval=True, save_best='mIoU') +custom_hooks = [ + dict( + type='ConstantMomentumEMAHook', + momentum=0.01, + interval=25, + eval_interval=16000, + auto_resume=True, + priority=49) +] +work_dir = './work_dirs2/ablation_segformer_mit_b2_segformer_head_unet_fc_small_multi_step_ade_pretrained_freeze_embed_160k_ade20k151_finetune_ema_winit' +gpu_ids = range(0, 8) +auto_resume = True diff --git a/ablation/ablation_segformer_mit_b2_segformer_head_unet_fc_small_multi_step_ade_pretrained_freeze_embed_160k_ade20k151_finetune_ema_winit/best_mIoU_iter_144000.pth b/ablation/ablation_segformer_mit_b2_segformer_head_unet_fc_small_multi_step_ade_pretrained_freeze_embed_160k_ade20k151_finetune_ema_winit/best_mIoU_iter_144000.pth new file mode 100644 index 0000000000000000000000000000000000000000..ba259f4222fab1cec2ae6e30baa560a2c22544dd --- /dev/null +++ b/ablation/ablation_segformer_mit_b2_segformer_head_unet_fc_small_multi_step_ade_pretrained_freeze_embed_160k_ade20k151_finetune_ema_winit/best_mIoU_iter_144000.pth @@ -0,0 +1,3 @@ +version https://git-lfs.github.com/spec/v1 +oid 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OpenMP 4.5) + - LAPACK is enabled (usually provided by MKL) + - NNPACK is enabled + - CPU capability usage: AVX2 + - CUDA Runtime 11.6 + - NVCC architecture flags: -gencode;arch=compute_37,code=sm_37;-gencode;arch=compute_50,code=sm_50;-gencode;arch=compute_60,code=sm_60;-gencode;arch=compute_61,code=sm_61;-gencode;arch=compute_70,code=sm_70;-gencode;arch=compute_75,code=sm_75;-gencode;arch=compute_80,code=sm_80;-gencode;arch=compute_86,code=sm_86;-gencode;arch=compute_37,code=compute_37 + - CuDNN 8.3.2 (built against CUDA 11.5) + - Magma 2.6.1 + - Build settings: BLAS_INFO=mkl, BUILD_TYPE=Release, CUDA_VERSION=11.6, CUDNN_VERSION=8.3.2, CXX_COMPILER=/opt/rh/devtoolset-9/root/usr/bin/c++, CXX_FLAGS= -fabi-version=11 -Wno-deprecated -fvisibility-inlines-hidden -DUSE_PTHREADPOOL -fopenmp -DNDEBUG -DUSE_KINETO -DUSE_FBGEMM -DUSE_QNNPACK -DUSE_PYTORCH_QNNPACK -DUSE_XNNPACK -DSYMBOLICATE_MOBILE_DEBUG_HANDLE -DEDGE_PROFILER_USE_KINETO -O2 -fPIC -Wno-narrowing -Wall -Wextra -Werror=return-type -Werror=non-virtual-dtor -Wno-missing-field-initializers -Wno-type-limits -Wno-array-bounds -Wno-unknown-pragmas -Wunused-local-typedefs -Wno-unused-parameter -Wno-unused-function -Wno-unused-result -Wno-strict-overflow -Wno-strict-aliasing -Wno-error=deprecated-declarations -Wno-stringop-overflow -Wno-psabi -Wno-error=pedantic -Wno-error=redundant-decls -Wno-error=old-style-cast -fdiagnostics-color=always -faligned-new -Wno-unused-but-set-variable -Wno-maybe-uninitialized -fno-math-errno -fno-trapping-math -Werror=format -Werror=cast-function-type -Wno-stringop-overflow, LAPACK_INFO=mkl, PERF_WITH_AVX=1, PERF_WITH_AVX2=1, PERF_WITH_AVX512=1, TORCH_VERSION=1.13.1, USE_CUDA=ON, USE_CUDNN=ON, USE_EXCEPTION_PTR=1, USE_GFLAGS=OFF, USE_GLOG=OFF, USE_MKL=ON, USE_MKLDNN=ON, USE_MPI=OFF, USE_NCCL=ON, USE_NNPACK=ON, USE_OPENMP=ON, USE_ROCM=OFF, + +TorchVision: 0.14.1 +OpenCV: 4.7.0 +MMCV: 1.7.1 +MMCV Compiler: GCC 9.3 +MMCV CUDA Compiler: 11.6 +MMSegmentation: 0.30.0+6749699 +------------------------------------------------------------ + +2023-03-04 21:47:07,475 - mmseg - INFO - Distributed training: True +2023-03-04 21:47:08,146 - mmseg - INFO - Config: +norm_cfg = dict(type='SyncBN', requires_grad=True) +checkpoint = 'work_dirs2/ablation_segformer_mit_b2_segformer_head_unet_fc_single_step_ade_pretrained_freeze_embed_80k_ade20k151_mask/latest.pth' +model = dict( + type='EncoderDecoderDiffusion', + freeze_parameters=['backbone', 'decode_head'], + pretrained= + 'work_dirs2/ablation_segformer_mit_b2_segformer_head_unet_fc_single_step_ade_pretrained_freeze_embed_80k_ade20k151_mask/latest.pth', + backbone=dict( + type='MixVisionTransformerCustomInitWeights', + in_channels=3, + embed_dims=64, + num_stages=4, + num_layers=[3, 4, 6, 3], + num_heads=[1, 2, 5, 8], + patch_sizes=[7, 3, 3, 3], + sr_ratios=[8, 4, 2, 1], + out_indices=(0, 1, 2, 3), + mlp_ratio=4, + qkv_bias=True, + drop_rate=0.0, + attn_drop_rate=0.0, + drop_path_rate=0.1), + decode_head=dict( + type='SegformerHeadUnetFCHeadMultiStepMaskOnly', + pretrained= + 'work_dirs2/ablation_segformer_mit_b2_segformer_head_unet_fc_single_step_ade_pretrained_freeze_embed_80k_ade20k151_mask/latest.pth', + dim=128, + out_dim=256, + unet_channels=272, + dim_mults=[1, 1, 1], + cat_embedding_dim=16, + diffusion_timesteps=100, + collect_timesteps=[0, 10, 20, 30, 40, 50, 60, 70, 80, 90, 99], + in_channels=[64, 128, 320, 512], + in_index=[0, 1, 2, 3], + channels=256, + dropout_ratio=0.1, + num_classes=151, + norm_cfg=dict(type='SyncBN', requires_grad=True), + align_corners=False, + ignore_index=0, + loss_decode=dict( + type='CrossEntropyLoss', use_sigmoid=False, loss_weight=1.0)), + train_cfg=dict(), + test_cfg=dict(mode='whole')) +dataset_type = 'ADE20K151Dataset' +data_root = 'data/ade/ADEChallengeData2016' +img_norm_cfg = dict( + mean=[123.675, 116.28, 103.53], std=[58.395, 57.12, 57.375], to_rgb=True) +crop_size = (512, 512) +train_pipeline = [ + dict(type='LoadImageFromFile'), + dict(type='LoadAnnotations', reduce_zero_label=False), + dict(type='Resize', img_scale=(2048, 512), ratio_range=(0.5, 2.0)), + dict(type='RandomCrop', crop_size=(512, 512), cat_max_ratio=0.75), + dict(type='RandomFlip', prob=0.5), + dict(type='PhotoMetricDistortion'), + dict( + type='Normalize', + mean=[123.675, 116.28, 103.53], + std=[58.395, 57.12, 57.375], + to_rgb=True), + dict(type='Pad', size=(512, 512), pad_val=0, seg_pad_val=0), + dict(type='DefaultFormatBundle'), + dict(type='Collect', keys=['img', 'gt_semantic_seg']) +] +test_pipeline = [ + dict(type='LoadImageFromFile'), + dict( + type='MultiScaleFlipAug', + img_scale=(2048, 512), + flip=False, + transforms=[ + dict(type='Resize', keep_ratio=True), + dict(type='RandomFlip'), + dict( + type='Normalize', + mean=[123.675, 116.28, 103.53], + std=[58.395, 57.12, 57.375], + to_rgb=True), + dict(type='Pad', size_divisor=16, pad_val=0, seg_pad_val=0), + dict(type='ImageToTensor', keys=['img']), + dict(type='Collect', keys=['img']) + ]) +] +data = dict( + samples_per_gpu=4, + workers_per_gpu=4, + train=dict( + type='ADE20K151Dataset', + data_root='data/ade/ADEChallengeData2016', + img_dir='images/training', + ann_dir='annotations/training', + pipeline=[ + dict(type='LoadImageFromFile'), + dict(type='LoadAnnotations', reduce_zero_label=False), + dict(type='Resize', img_scale=(2048, 512), ratio_range=(0.5, 2.0)), + dict(type='RandomCrop', crop_size=(512, 512), cat_max_ratio=0.75), + dict(type='RandomFlip', prob=0.5), + dict(type='PhotoMetricDistortion'), + dict( + type='Normalize', + mean=[123.675, 116.28, 103.53], + std=[58.395, 57.12, 57.375], + to_rgb=True), + dict(type='Pad', size=(512, 512), pad_val=0, seg_pad_val=0), + dict(type='DefaultFormatBundle'), + dict(type='Collect', keys=['img', 'gt_semantic_seg']) + ]), + val=dict( + type='ADE20K151Dataset', + data_root='data/ade/ADEChallengeData2016', + img_dir='images/validation', + ann_dir='annotations/validation', + pipeline=[ + dict(type='LoadImageFromFile'), + dict( + type='MultiScaleFlipAug', + img_scale=(2048, 512), + flip=False, + transforms=[ + dict(type='Resize', keep_ratio=True), + dict(type='RandomFlip'), + dict( + type='Normalize', + mean=[123.675, 116.28, 103.53], + std=[58.395, 57.12, 57.375], + to_rgb=True), + dict( + type='Pad', size_divisor=16, pad_val=0, seg_pad_val=0), + dict(type='ImageToTensor', keys=['img']), + dict(type='Collect', keys=['img']) + ]) + ]), + test=dict( + type='ADE20K151Dataset', + data_root='data/ade/ADEChallengeData2016', + img_dir='images/validation', + ann_dir='annotations/validation', + pipeline=[ + dict(type='LoadImageFromFile'), + dict( + type='MultiScaleFlipAug', + img_scale=(2048, 512), + flip=False, + transforms=[ + dict(type='Resize', keep_ratio=True), + dict(type='RandomFlip'), + dict( + type='Normalize', + mean=[123.675, 116.28, 103.53], + std=[58.395, 57.12, 57.375], + to_rgb=True), + dict( + type='Pad', size_divisor=16, pad_val=0, seg_pad_val=0), + dict(type='ImageToTensor', keys=['img']), + dict(type='Collect', keys=['img']) + ]) + ])) +log_config = dict( + interval=50, hooks=[dict(type='TextLoggerHook', by_epoch=False)]) +dist_params = dict(backend='nccl') +log_level = 'INFO' +load_from = None +resume_from = None +workflow = [('train', 1)] +cudnn_benchmark = True +optimizer = dict( + type='AdamW', lr=0.00015, betas=[0.9, 0.96], weight_decay=0.045) +optimizer_config = dict() +lr_config = dict( + policy='step', + warmup='linear', + warmup_iters=1000, + warmup_ratio=1e-06, + step=20000, + gamma=0.5, + min_lr=1e-06, + by_epoch=False) +runner = dict(type='IterBasedRunner', max_iters=160000) +checkpoint_config = dict(by_epoch=False, interval=16000, max_keep_ckpts=1) +evaluation = dict( + interval=16000, metric='mIoU', pre_eval=True, save_best='mIoU') +custom_hooks = [ + dict( + type='ConstantMomentumEMAHook', + momentum=0.01, + interval=25, + eval_interval=16000, + auto_resume=True, + priority=49) +] +work_dir = './work_dirs2/ablation_segformer_mit_b2_segformer_head_unet_fc_small_multi_step_ade_pretrained_freeze_embed_160k_ade20k151_mask_finetune_maskonly' +gpu_ids = range(0, 8) +auto_resume = True + +2023-03-04 21:47:12,573 - mmseg - INFO - Set random seed to 1766429137, deterministic: False +2023-03-04 21:47:12,839 - mmseg - INFO - Parameters in backbone freezed! +2023-03-04 21:47:12,840 - mmseg - INFO - Trainable parameters in SegformerHeadUnetFCHeadMultiStep: ['unet.init_conv.weight', 'unet.init_conv.bias', 'unet.time_mlp.1.weight', 'unet.time_mlp.1.bias', 'unet.time_mlp.3.weight', 'unet.time_mlp.3.bias', 'unet.downs.0.0.mlp.1.weight', 'unet.downs.0.0.mlp.1.bias', 'unet.downs.0.0.block1.proj.weight', 'unet.downs.0.0.block1.proj.bias', 'unet.downs.0.0.block1.norm.weight', 'unet.downs.0.0.block1.norm.bias', 'unet.downs.0.0.block2.proj.weight', 'unet.downs.0.0.block2.proj.bias', 'unet.downs.0.0.block2.norm.weight', 'unet.downs.0.0.block2.norm.bias', 'unet.downs.0.1.mlp.1.weight', 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checkpoint from local path: work_dirs2/ablation_segformer_mit_b2_segformer_head_unet_fc_single_step_ade_pretrained_freeze_embed_80k_ade20k151_mask/latest.pth +2023-03-04 21:47:13,757 - mmseg - WARNING - The model and loaded state dict do not match exactly + +unexpected key in source state_dict: decode_head.convs.0.conv.weight, decode_head.convs.0.bn.weight, decode_head.convs.0.bn.bias, decode_head.convs.0.bn.running_mean, decode_head.convs.0.bn.running_var, decode_head.convs.0.bn.num_batches_tracked, decode_head.convs.1.conv.weight, decode_head.convs.1.bn.weight, decode_head.convs.1.bn.bias, decode_head.convs.1.bn.running_mean, decode_head.convs.1.bn.running_var, decode_head.convs.1.bn.num_batches_tracked, decode_head.convs.2.conv.weight, decode_head.convs.2.bn.weight, decode_head.convs.2.bn.bias, decode_head.convs.2.bn.running_mean, decode_head.convs.2.bn.running_var, decode_head.convs.2.bn.num_batches_tracked, decode_head.convs.3.conv.weight, decode_head.convs.3.bn.weight, 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decode_head.unet.final_conv.bias, decode_head.conv_seg_new.weight, decode_head.conv_seg_new.bias, decode_head.embed.weight + +2023-03-04 21:47:13,775 - mmseg - INFO - load checkpoint from local path: work_dirs2/ablation_segformer_mit_b2_segformer_head_unet_fc_single_step_ade_pretrained_freeze_embed_80k_ade20k151_mask/latest.pth +2023-03-04 21:47:14,299 - mmseg - WARNING - The model and loaded state dict do not match exactly + +unexpected key in source state_dict: backbone.layers.0.0.projection.weight, backbone.layers.0.0.projection.bias, backbone.layers.0.0.norm.weight, backbone.layers.0.0.norm.bias, backbone.layers.0.1.0.norm1.weight, backbone.layers.0.1.0.norm1.bias, backbone.layers.0.1.0.attn.attn.in_proj_weight, backbone.layers.0.1.0.attn.attn.in_proj_bias, backbone.layers.0.1.0.attn.attn.out_proj.weight, backbone.layers.0.1.0.attn.attn.out_proj.bias, backbone.layers.0.1.0.attn.sr.weight, backbone.layers.0.1.0.attn.sr.bias, backbone.layers.0.1.0.attn.norm.weight, 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eps=1e-06, elementwise_affine=True) + (ffn): MixFFN( + (activate): GELU(approximate='none') + (layers): Sequential( + (0): Conv2d(320, 1280, kernel_size=(1, 1), stride=(1, 1)) + (1): Conv2d(1280, 1280, kernel_size=(3, 3), stride=(1, 1), padding=(1, 1), groups=1280) + (2): GELU(approximate='none') + (3): Dropout(p=0.0, inplace=False) + (4): Conv2d(1280, 320, kernel_size=(1, 1), stride=(1, 1)) + (5): Dropout(p=0.0, inplace=False) + ) + (dropout_layer): DropPath() + ) + ) + (4): TransformerEncoderLayer( + (norm1): LayerNorm((320,), eps=1e-06, elementwise_affine=True) + (attn): EfficientMultiheadAttention( + (attn): MultiheadAttention( + (out_proj): NonDynamicallyQuantizableLinear(in_features=320, out_features=320, bias=True) + ) + (proj_drop): Dropout(p=0.0, inplace=False) + (dropout_layer): DropPath() + (sr): Conv2d(320, 320, kernel_size=(2, 2), stride=(2, 2)) + (norm): LayerNorm((320,), eps=1e-06, elementwise_affine=True) + ) + (norm2): LayerNorm((320,), eps=1e-06, elementwise_affine=True) + (ffn): MixFFN( + (activate): GELU(approximate='none') + (layers): Sequential( + (0): Conv2d(320, 1280, kernel_size=(1, 1), stride=(1, 1)) + (1): Conv2d(1280, 1280, kernel_size=(3, 3), stride=(1, 1), padding=(1, 1), groups=1280) + (2): GELU(approximate='none') + (3): Dropout(p=0.0, inplace=False) + (4): Conv2d(1280, 320, kernel_size=(1, 1), stride=(1, 1)) + (5): Dropout(p=0.0, inplace=False) + ) + (dropout_layer): DropPath() + ) + ) + (5): TransformerEncoderLayer( + (norm1): LayerNorm((320,), eps=1e-06, elementwise_affine=True) + (attn): EfficientMultiheadAttention( + (attn): MultiheadAttention( + (out_proj): NonDynamicallyQuantizableLinear(in_features=320, out_features=320, bias=True) + ) + (proj_drop): Dropout(p=0.0, inplace=False) + (dropout_layer): DropPath() + (sr): Conv2d(320, 320, kernel_size=(2, 2), stride=(2, 2)) + (norm): LayerNorm((320,), eps=1e-06, elementwise_affine=True) + ) + (norm2): LayerNorm((320,), eps=1e-06, elementwise_affine=True) + (ffn): MixFFN( + (activate): GELU(approximate='none') + (layers): Sequential( + (0): Conv2d(320, 1280, kernel_size=(1, 1), stride=(1, 1)) + (1): Conv2d(1280, 1280, kernel_size=(3, 3), stride=(1, 1), padding=(1, 1), groups=1280) + (2): GELU(approximate='none') + (3): Dropout(p=0.0, inplace=False) + (4): Conv2d(1280, 320, kernel_size=(1, 1), stride=(1, 1)) + (5): Dropout(p=0.0, inplace=False) + ) + (dropout_layer): DropPath() + ) + ) + ) + (2): LayerNorm((320,), eps=1e-06, elementwise_affine=True) + ) + (3): ModuleList( + (0): PatchEmbed( + (projection): Conv2d(320, 512, kernel_size=(3, 3), stride=(2, 2), padding=(1, 1)) + (norm): LayerNorm((512,), eps=1e-06, elementwise_affine=True) + ) + (1): ModuleList( + (0): TransformerEncoderLayer( + (norm1): LayerNorm((512,), eps=1e-06, elementwise_affine=True) + (attn): EfficientMultiheadAttention( + (attn): MultiheadAttention( + (out_proj): NonDynamicallyQuantizableLinear(in_features=512, out_features=512, bias=True) + ) + (proj_drop): Dropout(p=0.0, inplace=False) + (dropout_layer): DropPath() + ) + (norm2): LayerNorm((512,), eps=1e-06, elementwise_affine=True) + (ffn): MixFFN( + (activate): GELU(approximate='none') + (layers): Sequential( + (0): Conv2d(512, 2048, kernel_size=(1, 1), stride=(1, 1)) + (1): Conv2d(2048, 2048, kernel_size=(3, 3), stride=(1, 1), padding=(1, 1), groups=2048) + (2): GELU(approximate='none') + (3): Dropout(p=0.0, inplace=False) + (4): Conv2d(2048, 512, kernel_size=(1, 1), stride=(1, 1)) + (5): Dropout(p=0.0, inplace=False) + ) + (dropout_layer): DropPath() + ) + ) + (1): TransformerEncoderLayer( + (norm1): LayerNorm((512,), eps=1e-06, elementwise_affine=True) + (attn): EfficientMultiheadAttention( + (attn): MultiheadAttention( + (out_proj): NonDynamicallyQuantizableLinear(in_features=512, out_features=512, bias=True) + ) + (proj_drop): Dropout(p=0.0, inplace=False) + (dropout_layer): DropPath() + ) + (norm2): LayerNorm((512,), eps=1e-06, elementwise_affine=True) + (ffn): MixFFN( + (activate): GELU(approximate='none') + (layers): Sequential( + (0): Conv2d(512, 2048, kernel_size=(1, 1), stride=(1, 1)) + (1): Conv2d(2048, 2048, kernel_size=(3, 3), stride=(1, 1), padding=(1, 1), groups=2048) + (2): GELU(approximate='none') + (3): Dropout(p=0.0, inplace=False) + (4): Conv2d(2048, 512, kernel_size=(1, 1), stride=(1, 1)) + (5): Dropout(p=0.0, inplace=False) + ) + (dropout_layer): DropPath() + ) + ) + (2): TransformerEncoderLayer( + (norm1): LayerNorm((512,), eps=1e-06, elementwise_affine=True) + (attn): EfficientMultiheadAttention( + (attn): MultiheadAttention( + (out_proj): NonDynamicallyQuantizableLinear(in_features=512, out_features=512, bias=True) + ) + (proj_drop): Dropout(p=0.0, inplace=False) + (dropout_layer): DropPath() + ) + (norm2): LayerNorm((512,), eps=1e-06, elementwise_affine=True) + (ffn): MixFFN( + (activate): GELU(approximate='none') + (layers): Sequential( + (0): Conv2d(512, 2048, kernel_size=(1, 1), stride=(1, 1)) + (1): Conv2d(2048, 2048, kernel_size=(3, 3), stride=(1, 1), padding=(1, 1), groups=2048) + (2): GELU(approximate='none') + (3): Dropout(p=0.0, inplace=False) + (4): Conv2d(2048, 512, kernel_size=(1, 1), stride=(1, 1)) + (5): Dropout(p=0.0, inplace=False) + ) + (dropout_layer): DropPath() + ) + ) + ) + (2): LayerNorm((512,), eps=1e-06, elementwise_affine=True) + ) + ) + ) + init_cfg={'type': 'Pretrained', 'checkpoint': 'work_dirs2/ablation_segformer_mit_b2_segformer_head_unet_fc_single_step_ade_pretrained_freeze_embed_80k_ade20k151_mask/latest.pth'} + (decode_head): SegformerHeadUnetFCHeadMultiStepMaskOnly( + input_transform=multiple_select, ignore_index=0, align_corners=False + (loss_decode): CrossEntropyLoss(avg_non_ignore=False) + (conv_seg): None + (dropout): Dropout2d(p=0.1, inplace=False) + (convs): ModuleList( + (0): ConvModule( + (conv): Conv2d(64, 256, kernel_size=(1, 1), stride=(1, 1), bias=False) + (bn): SyncBatchNorm(256, eps=1e-05, momentum=0.1, affine=True, track_running_stats=True) + (activate): ReLU(inplace=True) + ) + (1): ConvModule( + (conv): Conv2d(128, 256, kernel_size=(1, 1), stride=(1, 1), bias=False) + (bn): SyncBatchNorm(256, eps=1e-05, momentum=0.1, affine=True, track_running_stats=True) + (activate): ReLU(inplace=True) + ) + (2): ConvModule( + (conv): Conv2d(320, 256, kernel_size=(1, 1), stride=(1, 1), bias=False) + (bn): SyncBatchNorm(256, eps=1e-05, momentum=0.1, affine=True, track_running_stats=True) + (activate): ReLU(inplace=True) + ) + (3): ConvModule( + (conv): Conv2d(512, 256, kernel_size=(1, 1), stride=(1, 1), bias=False) + (bn): SyncBatchNorm(256, eps=1e-05, momentum=0.1, affine=True, track_running_stats=True) + (activate): ReLU(inplace=True) + ) + ) + (fusion_conv): ConvModule( + (conv): Conv2d(1024, 256, kernel_size=(1, 1), stride=(1, 1), bias=False) + (bn): SyncBatchNorm(256, eps=1e-05, momentum=0.1, affine=True, track_running_stats=True) + (activate): ReLU(inplace=True) + ) + (unet): Unet( + (init_conv): Conv2d(272, 128, kernel_size=(7, 7), stride=(1, 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stride=(1, 1), padding=(1, 1)) + (norm): GroupNorm(8, 128, eps=1e-05, affine=True) + (act): SiLU() + ) + (block2): Block( + (proj): WeightStandardizedConv2d(128, 128, kernel_size=(3, 3), stride=(1, 1), padding=(1, 1)) + (norm): GroupNorm(8, 128, eps=1e-05, affine=True) + (act): SiLU() + ) + (res_conv): Identity() + ) + (2): Residual( + (fn): PreNorm( + (fn): LinearAttention( + (to_qkv): Conv2d(128, 384, kernel_size=(1, 1), stride=(1, 1), bias=False) + (to_out): Sequential( + (0): Conv2d(128, 128, kernel_size=(1, 1), stride=(1, 1)) + (1): LayerNorm() + ) + ) + (norm): LayerNorm() + ) + ) + (3): Conv2d(128, 128, kernel_size=(4, 4), stride=(2, 2), padding=(1, 1)) + ) + (1): ModuleList( + (0): ResnetBlock( + (mlp): Sequential( + (0): SiLU() + (1): Linear(in_features=512, out_features=256, bias=True) + ) + (block1): Block( + (proj): WeightStandardizedConv2d(128, 128, kernel_size=(3, 3), stride=(1, 1), padding=(1, 1)) + (norm): GroupNorm(8, 128, eps=1e-05, affine=True) + (act): SiLU() + ) + 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padding=(1, 1)) + (norm): GroupNorm(8, 128, eps=1e-05, affine=True) + (act): SiLU() + ) + (res_conv): Conv2d(256, 128, kernel_size=(1, 1), stride=(1, 1)) + ) + (1): ResnetBlock( + (mlp): Sequential( + (0): SiLU() + (1): Linear(in_features=512, out_features=256, bias=True) + ) + (block1): Block( + (proj): WeightStandardizedConv2d(256, 128, kernel_size=(3, 3), stride=(1, 1), padding=(1, 1)) + (norm): GroupNorm(8, 128, eps=1e-05, affine=True) + (act): SiLU() + ) + (block2): Block( + (proj): WeightStandardizedConv2d(128, 128, kernel_size=(3, 3), stride=(1, 1), padding=(1, 1)) + (norm): GroupNorm(8, 128, eps=1e-05, affine=True) + (act): SiLU() + ) + (res_conv): Conv2d(256, 128, kernel_size=(1, 1), stride=(1, 1)) + ) + (2): Residual( + (fn): PreNorm( + (fn): LinearAttention( + (to_qkv): Conv2d(128, 384, kernel_size=(1, 1), stride=(1, 1), bias=False) + (to_out): Sequential( + (0): Conv2d(128, 128, kernel_size=(1, 1), stride=(1, 1)) + (1): LayerNorm() + ) + ) + (norm): LayerNorm() + ) + ) + (3): Sequential( + (0): Upsample(scale_factor=2.0, mode=nearest) + (1): Conv2d(128, 128, kernel_size=(3, 3), stride=(1, 1), padding=(1, 1)) + ) + ) + (1): ModuleList( + (0): ResnetBlock( + (mlp): Sequential( + (0): SiLU() + (1): Linear(in_features=512, out_features=256, bias=True) + ) + (block1): Block( + (proj): WeightStandardizedConv2d(256, 128, kernel_size=(3, 3), stride=(1, 1), padding=(1, 1)) + (norm): GroupNorm(8, 128, eps=1e-05, affine=True) + (act): SiLU() + ) + (block2): Block( + (proj): WeightStandardizedConv2d(128, 128, kernel_size=(3, 3), stride=(1, 1), padding=(1, 1)) + (norm): GroupNorm(8, 128, eps=1e-05, affine=True) + (act): SiLU() + ) + (res_conv): Conv2d(256, 128, kernel_size=(1, 1), stride=(1, 1)) + ) + (1): ResnetBlock( + (mlp): Sequential( + (0): SiLU() + (1): Linear(in_features=512, out_features=256, bias=True) + ) + (block1): Block( + (proj): WeightStandardizedConv2d(256, 128, kernel_size=(3, 3), stride=(1, 1), padding=(1, 1)) + (norm): GroupNorm(8, 128, eps=1e-05, affine=True) + (act): SiLU() + ) + (block2): Block( + (proj): WeightStandardizedConv2d(128, 128, kernel_size=(3, 3), stride=(1, 1), padding=(1, 1)) + (norm): GroupNorm(8, 128, eps=1e-05, affine=True) + (act): SiLU() + ) + (res_conv): Conv2d(256, 128, kernel_size=(1, 1), stride=(1, 1)) + ) + (2): Residual( + (fn): PreNorm( + (fn): LinearAttention( + (to_qkv): Conv2d(128, 384, kernel_size=(1, 1), stride=(1, 1), bias=False) + (to_out): Sequential( + (0): Conv2d(128, 128, kernel_size=(1, 1), stride=(1, 1)) + (1): LayerNorm() + ) + ) + (norm): LayerNorm() + ) + ) + (3): Sequential( + (0): Upsample(scale_factor=2.0, mode=nearest) + (1): Conv2d(128, 128, kernel_size=(3, 3), stride=(1, 1), padding=(1, 1)) + ) + ) + (2): ModuleList( + (0): ResnetBlock( + (mlp): Sequential( + (0): SiLU() + (1): Linear(in_features=512, out_features=256, bias=True) + ) + (block1): Block( + (proj): WeightStandardizedConv2d(256, 128, kernel_size=(3, 3), stride=(1, 1), padding=(1, 1)) + (norm): GroupNorm(8, 128, eps=1e-05, affine=True) + (act): SiLU() + ) + (block2): Block( + (proj): WeightStandardizedConv2d(128, 128, kernel_size=(3, 3), stride=(1, 1), padding=(1, 1)) + (norm): GroupNorm(8, 128, eps=1e-05, affine=True) + (act): SiLU() + ) + (res_conv): Conv2d(256, 128, kernel_size=(1, 1), stride=(1, 1)) + ) + (1): ResnetBlock( + (mlp): Sequential( + (0): SiLU() + (1): Linear(in_features=512, out_features=256, bias=True) + ) + (block1): Block( + (proj): WeightStandardizedConv2d(256, 128, kernel_size=(3, 3), stride=(1, 1), padding=(1, 1)) + (norm): GroupNorm(8, 128, eps=1e-05, affine=True) + (act): SiLU() + ) + (block2): Block( + (proj): WeightStandardizedConv2d(128, 128, kernel_size=(3, 3), stride=(1, 1), padding=(1, 1)) + (norm): GroupNorm(8, 128, eps=1e-05, affine=True) + (act): SiLU() + ) + (res_conv): Conv2d(256, 128, kernel_size=(1, 1), stride=(1, 1)) + ) + (2): Residual( + (fn): PreNorm( + (fn): LinearAttention( + (to_qkv): Conv2d(128, 384, kernel_size=(1, 1), stride=(1, 1), bias=False) + (to_out): Sequential( + (0): Conv2d(128, 128, kernel_size=(1, 1), stride=(1, 1)) + (1): LayerNorm() + ) + ) + (norm): LayerNorm() + ) + ) + (3): Conv2d(128, 128, kernel_size=(3, 3), stride=(1, 1), padding=(1, 1)) + ) + ) + (mid_block1): ResnetBlock( + (mlp): Sequential( + (0): SiLU() + (1): Linear(in_features=512, out_features=256, bias=True) + ) + (block1): Block( + (proj): WeightStandardizedConv2d(128, 128, kernel_size=(3, 3), stride=(1, 1), padding=(1, 1)) + (norm): GroupNorm(8, 128, eps=1e-05, affine=True) + (act): SiLU() + ) + (block2): Block( + (proj): WeightStandardizedConv2d(128, 128, kernel_size=(3, 3), stride=(1, 1), padding=(1, 1)) + (norm): GroupNorm(8, 128, eps=1e-05, affine=True) + (act): SiLU() + ) + (res_conv): Identity() + ) + (mid_attn): Residual( + (fn): PreNorm( + (fn): Attention( + (to_qkv): Conv2d(128, 384, kernel_size=(1, 1), stride=(1, 1), bias=False) + (to_out): Conv2d(128, 128, kernel_size=(1, 1), stride=(1, 1)) + ) + (norm): LayerNorm() + ) + ) + (mid_block2): ResnetBlock( + (mlp): Sequential( + (0): SiLU() + (1): Linear(in_features=512, out_features=256, bias=True) + ) + (block1): Block( + (proj): WeightStandardizedConv2d(128, 128, kernel_size=(3, 3), stride=(1, 1), padding=(1, 1)) + (norm): GroupNorm(8, 128, eps=1e-05, affine=True) + (act): SiLU() + ) + (block2): Block( + (proj): WeightStandardizedConv2d(128, 128, kernel_size=(3, 3), stride=(1, 1), padding=(1, 1)) + (norm): GroupNorm(8, 128, eps=1e-05, affine=True) + (act): SiLU() + ) + (res_conv): Identity() + ) + (final_res_block): ResnetBlock( + (mlp): Sequential( + (0): SiLU() + (1): Linear(in_features=512, out_features=256, bias=True) + ) + (block1): Block( + (proj): WeightStandardizedConv2d(256, 128, kernel_size=(3, 3), stride=(1, 1), padding=(1, 1)) + (norm): GroupNorm(8, 128, eps=1e-05, affine=True) + (act): SiLU() + ) + (block2): Block( + (proj): WeightStandardizedConv2d(128, 128, kernel_size=(3, 3), stride=(1, 1), padding=(1, 1)) + (norm): GroupNorm(8, 128, eps=1e-05, affine=True) + (act): SiLU() + ) + (res_conv): Conv2d(256, 128, kernel_size=(1, 1), stride=(1, 1)) + ) + (final_conv): Conv2d(128, 256, kernel_size=(1, 1), stride=(1, 1)) + ) + (conv_seg_new): Conv2d(256, 151, kernel_size=(1, 1), stride=(1, 1)) + (embed): Embedding(152, 16) + ) + init_cfg={'type': 'Pretrained', 'checkpoint': 'work_dirs2/ablation_segformer_mit_b2_segformer_head_unet_fc_single_step_ade_pretrained_freeze_embed_80k_ade20k151_mask/latest.pth'} +) +2023-03-04 21:47:14,818 - mmseg - INFO - Loaded 20210 images +2023-03-04 21:47:19,459 - mmseg - INFO - Loaded 2000 images +2023-03-04 21:47:19,462 - mmseg - INFO - Start running, host: laizeqiang@SH-IDC1-10-140-37-152, work_dir: /mnt/petrelfs/laizeqiang/mmseg-baseline/work_dirs2/ablation_segformer_mit_b2_segformer_head_unet_fc_small_multi_step_ade_pretrained_freeze_embed_160k_ade20k151_mask_finetune_maskonly +2023-03-04 21:47:19,462 - mmseg - INFO - Hooks will be executed in the following order: +before_run: +(VERY_HIGH ) StepLrUpdaterHook +(49 ) ConstantMomentumEMAHook +(NORMAL ) CheckpointHook +(LOW ) DistEvalHookMultiSteps +(VERY_LOW ) TextLoggerHook + -------------------- +before_train_epoch: +(VERY_HIGH ) StepLrUpdaterHook +(LOW ) IterTimerHook +(LOW ) DistEvalHookMultiSteps +(VERY_LOW ) TextLoggerHook + -------------------- +before_train_iter: +(VERY_HIGH ) StepLrUpdaterHook +(49 ) ConstantMomentumEMAHook +(LOW ) IterTimerHook +(LOW ) DistEvalHookMultiSteps + -------------------- +after_train_iter: +(ABOVE_NORMAL) OptimizerHook +(49 ) ConstantMomentumEMAHook +(NORMAL ) CheckpointHook +(LOW ) IterTimerHook +(LOW ) DistEvalHookMultiSteps +(VERY_LOW ) TextLoggerHook + -------------------- +after_train_epoch: +(NORMAL ) CheckpointHook +(LOW ) DistEvalHookMultiSteps +(VERY_LOW ) TextLoggerHook + -------------------- +before_val_epoch: +(LOW ) IterTimerHook +(VERY_LOW ) TextLoggerHook + -------------------- +before_val_iter: +(LOW ) IterTimerHook + -------------------- +after_val_iter: +(LOW ) IterTimerHook + -------------------- +after_val_epoch: +(VERY_LOW ) TextLoggerHook + -------------------- +after_run: +(VERY_LOW ) TextLoggerHook + -------------------- +2023-03-04 21:47:19,462 - mmseg - INFO - workflow: [('train', 1)], max: 160000 iters +2023-03-04 21:47:19,484 - mmseg - INFO - Checkpoints will be saved to /mnt/petrelfs/laizeqiang/mmseg-baseline/work_dirs2/ablation_segformer_mit_b2_segformer_head_unet_fc_small_multi_step_ade_pretrained_freeze_embed_160k_ade20k151_mask_finetune_maskonly by HardDiskBackend. +2023-03-04 21:47:43,527 - mmseg - INFO - Swap parameters (before train) before iter [1] diff --git a/ablation/ablation_segformer_mit_b2_segformer_head_unet_fc_small_multi_step_ade_pretrained_freeze_embed_160k_ade20k151_mask_finetune_maskonly/20230304_214707.log.json b/ablation/ablation_segformer_mit_b2_segformer_head_unet_fc_small_multi_step_ade_pretrained_freeze_embed_160k_ade20k151_mask_finetune_maskonly/20230304_214707.log.json new file mode 100644 index 0000000000000000000000000000000000000000..94b32f9ed148824c3328955c3d8a8262086e6af7 --- /dev/null +++ b/ablation/ablation_segformer_mit_b2_segformer_head_unet_fc_small_multi_step_ade_pretrained_freeze_embed_160k_ade20k151_mask_finetune_maskonly/20230304_214707.log.json @@ -0,0 +1 @@ +{"env_info": "sys.platform: linux\nPython: 3.7.16 (default, Jan 17 2023, 22:20:44) [GCC 11.2.0]\nCUDA available: True\nGPU 0,1,2,3,4,5,6,7: NVIDIA A100-SXM4-80GB\nCUDA_HOME: /mnt/petrelfs/laizeqiang/miniconda3/envs/torch\nNVCC: Cuda compilation tools, release 11.6, V11.6.124\nGCC: gcc (GCC) 4.8.5 20150623 (Red Hat 4.8.5-44)\nPyTorch: 1.13.1\nPyTorch compiling details: PyTorch built with:\n - GCC 9.3\n - C++ Version: 201402\n - Intel(R) oneAPI Math Kernel Library Version 2021.4-Product Build 20210904 for Intel(R) 64 architecture applications\n - Intel(R) MKL-DNN v2.6.0 (Git Hash 52b5f107dd9cf10910aaa19cb47f3abf9b349815)\n - OpenMP 201511 (a.k.a. OpenMP 4.5)\n - LAPACK is enabled (usually provided by MKL)\n - NNPACK is enabled\n - CPU capability usage: AVX2\n - CUDA Runtime 11.6\n - NVCC architecture flags: -gencode;arch=compute_37,code=sm_37;-gencode;arch=compute_50,code=sm_50;-gencode;arch=compute_60,code=sm_60;-gencode;arch=compute_61,code=sm_61;-gencode;arch=compute_70,code=sm_70;-gencode;arch=compute_75,code=sm_75;-gencode;arch=compute_80,code=sm_80;-gencode;arch=compute_86,code=sm_86;-gencode;arch=compute_37,code=compute_37\n - CuDNN 8.3.2 (built against CUDA 11.5)\n - Magma 2.6.1\n - Build settings: BLAS_INFO=mkl, BUILD_TYPE=Release, CUDA_VERSION=11.6, CUDNN_VERSION=8.3.2, CXX_COMPILER=/opt/rh/devtoolset-9/root/usr/bin/c++, CXX_FLAGS= -fabi-version=11 -Wno-deprecated -fvisibility-inlines-hidden -DUSE_PTHREADPOOL -fopenmp -DNDEBUG -DUSE_KINETO -DUSE_FBGEMM -DUSE_QNNPACK -DUSE_PYTORCH_QNNPACK -DUSE_XNNPACK -DSYMBOLICATE_MOBILE_DEBUG_HANDLE -DEDGE_PROFILER_USE_KINETO -O2 -fPIC -Wno-narrowing -Wall -Wextra -Werror=return-type -Werror=non-virtual-dtor -Wno-missing-field-initializers -Wno-type-limits -Wno-array-bounds -Wno-unknown-pragmas -Wunused-local-typedefs -Wno-unused-parameter -Wno-unused-function -Wno-unused-result -Wno-strict-overflow -Wno-strict-aliasing -Wno-error=deprecated-declarations -Wno-stringop-overflow -Wno-psabi -Wno-error=pedantic -Wno-error=redundant-decls -Wno-error=old-style-cast -fdiagnostics-color=always -faligned-new -Wno-unused-but-set-variable -Wno-maybe-uninitialized -fno-math-errno -fno-trapping-math -Werror=format -Werror=cast-function-type -Wno-stringop-overflow, LAPACK_INFO=mkl, PERF_WITH_AVX=1, PERF_WITH_AVX2=1, PERF_WITH_AVX512=1, TORCH_VERSION=1.13.1, USE_CUDA=ON, USE_CUDNN=ON, USE_EXCEPTION_PTR=1, USE_GFLAGS=OFF, USE_GLOG=OFF, USE_MKL=ON, USE_MKLDNN=ON, USE_MPI=OFF, USE_NCCL=ON, USE_NNPACK=ON, USE_OPENMP=ON, USE_ROCM=OFF, \n\nTorchVision: 0.14.1\nOpenCV: 4.7.0\nMMCV: 1.7.1\nMMCV Compiler: GCC 9.3\nMMCV CUDA Compiler: 11.6\nMMSegmentation: 0.30.0+6749699", "seed": 1766429137, "exp_name": "ablation_segformer_mit_b2_segformer_head_unet_fc_small_multi_step_ade_pretrained_freeze_embed_160k_ade20k151_mask_finetune_maskonly.py", "mmseg_version": "0.30.0+6749699", "config": "norm_cfg = dict(type='SyncBN', requires_grad=True)\ncheckpoint = 'work_dirs2/ablation_segformer_mit_b2_segformer_head_unet_fc_single_step_ade_pretrained_freeze_embed_80k_ade20k151_mask/latest.pth'\nmodel = dict(\n type='EncoderDecoderDiffusion',\n freeze_parameters=['backbone', 'decode_head'],\n pretrained=\n 'work_dirs2/ablation_segformer_mit_b2_segformer_head_unet_fc_single_step_ade_pretrained_freeze_embed_80k_ade20k151_mask/latest.pth',\n backbone=dict(\n type='MixVisionTransformerCustomInitWeights',\n in_channels=3,\n embed_dims=64,\n num_stages=4,\n num_layers=[3, 4, 6, 3],\n num_heads=[1, 2, 5, 8],\n patch_sizes=[7, 3, 3, 3],\n sr_ratios=[8, 4, 2, 1],\n out_indices=(0, 1, 2, 3),\n mlp_ratio=4,\n qkv_bias=True,\n drop_rate=0.0,\n attn_drop_rate=0.0,\n drop_path_rate=0.1,\n pretrained=\n 'work_dirs2/ablation_segformer_mit_b2_segformer_head_unet_fc_single_step_ade_pretrained_freeze_embed_80k_ade20k151_mask/latest.pth'\n ),\n decode_head=dict(\n type='SegformerHeadUnetFCHeadMultiStepMaskOnly',\n pretrained=\n 'work_dirs2/ablation_segformer_mit_b2_segformer_head_unet_fc_single_step_ade_pretrained_freeze_embed_80k_ade20k151_mask/latest.pth',\n dim=128,\n out_dim=256,\n unet_channels=272,\n dim_mults=[1, 1, 1],\n cat_embedding_dim=16,\n diffusion_timesteps=100,\n collect_timesteps=[0, 10, 20, 30, 40, 50, 60, 70, 80, 90, 99],\n in_channels=[64, 128, 320, 512],\n in_index=[0, 1, 2, 3],\n channels=256,\n dropout_ratio=0.1,\n num_classes=151,\n norm_cfg=dict(type='SyncBN', requires_grad=True),\n align_corners=False,\n ignore_index=0,\n loss_decode=dict(\n type='CrossEntropyLoss', use_sigmoid=False, loss_weight=1.0)),\n train_cfg=dict(),\n test_cfg=dict(mode='whole'))\ndataset_type = 'ADE20K151Dataset'\ndata_root = 'data/ade/ADEChallengeData2016'\nimg_norm_cfg = dict(\n mean=[123.675, 116.28, 103.53], std=[58.395, 57.12, 57.375], to_rgb=True)\ncrop_size = (512, 512)\ntrain_pipeline = [\n dict(type='LoadImageFromFile'),\n dict(type='LoadAnnotations', reduce_zero_label=False),\n dict(type='Resize', img_scale=(2048, 512), ratio_range=(0.5, 2.0)),\n dict(type='RandomCrop', crop_size=(512, 512), cat_max_ratio=0.75),\n dict(type='RandomFlip', prob=0.5),\n dict(type='PhotoMetricDistortion'),\n dict(\n type='Normalize',\n mean=[123.675, 116.28, 103.53],\n std=[58.395, 57.12, 57.375],\n to_rgb=True),\n dict(type='Pad', size=(512, 512), pad_val=0, seg_pad_val=0),\n dict(type='DefaultFormatBundle'),\n dict(type='Collect', keys=['img', 'gt_semantic_seg'])\n]\ntest_pipeline = [\n dict(type='LoadImageFromFile'),\n dict(\n type='MultiScaleFlipAug',\n img_scale=(2048, 512),\n flip=False,\n transforms=[\n dict(type='Resize', keep_ratio=True),\n dict(type='RandomFlip'),\n dict(\n type='Normalize',\n mean=[123.675, 116.28, 103.53],\n std=[58.395, 57.12, 57.375],\n to_rgb=True),\n dict(type='Pad', size_divisor=16, pad_val=0, seg_pad_val=0),\n dict(type='ImageToTensor', keys=['img']),\n dict(type='Collect', keys=['img'])\n ])\n]\ndata = dict(\n samples_per_gpu=4,\n workers_per_gpu=4,\n train=dict(\n type='ADE20K151Dataset',\n data_root='data/ade/ADEChallengeData2016',\n img_dir='images/training',\n ann_dir='annotations/training',\n pipeline=[\n dict(type='LoadImageFromFile'),\n dict(type='LoadAnnotations', reduce_zero_label=False),\n dict(type='Resize', img_scale=(2048, 512), ratio_range=(0.5, 2.0)),\n dict(type='RandomCrop', crop_size=(512, 512), cat_max_ratio=0.75),\n dict(type='RandomFlip', prob=0.5),\n dict(type='PhotoMetricDistortion'),\n dict(\n type='Normalize',\n mean=[123.675, 116.28, 103.53],\n std=[58.395, 57.12, 57.375],\n to_rgb=True),\n dict(type='Pad', size=(512, 512), pad_val=0, seg_pad_val=0),\n dict(type='DefaultFormatBundle'),\n dict(type='Collect', keys=['img', 'gt_semantic_seg'])\n ]),\n val=dict(\n type='ADE20K151Dataset',\n data_root='data/ade/ADEChallengeData2016',\n img_dir='images/validation',\n ann_dir='annotations/validation',\n pipeline=[\n dict(type='LoadImageFromFile'),\n dict(\n type='MultiScaleFlipAug',\n img_scale=(2048, 512),\n flip=False,\n transforms=[\n dict(type='Resize', keep_ratio=True),\n dict(type='RandomFlip'),\n dict(\n type='Normalize',\n mean=[123.675, 116.28, 103.53],\n std=[58.395, 57.12, 57.375],\n to_rgb=True),\n dict(\n type='Pad', size_divisor=16, pad_val=0, seg_pad_val=0),\n dict(type='ImageToTensor', keys=['img']),\n dict(type='Collect', keys=['img'])\n ])\n ]),\n test=dict(\n type='ADE20K151Dataset',\n data_root='data/ade/ADEChallengeData2016',\n img_dir='images/validation',\n ann_dir='annotations/validation',\n pipeline=[\n dict(type='LoadImageFromFile'),\n dict(\n type='MultiScaleFlipAug',\n img_scale=(2048, 512),\n flip=False,\n transforms=[\n dict(type='Resize', keep_ratio=True),\n dict(type='RandomFlip'),\n dict(\n type='Normalize',\n mean=[123.675, 116.28, 103.53],\n std=[58.395, 57.12, 57.375],\n to_rgb=True),\n dict(\n type='Pad', size_divisor=16, pad_val=0, seg_pad_val=0),\n dict(type='ImageToTensor', keys=['img']),\n dict(type='Collect', keys=['img'])\n ])\n ]))\nlog_config = dict(\n interval=50, hooks=[dict(type='TextLoggerHook', by_epoch=False)])\ndist_params = dict(backend='nccl')\nlog_level = 'INFO'\nload_from = None\nresume_from = None\nworkflow = [('train', 1)]\ncudnn_benchmark = True\noptimizer = dict(\n type='AdamW', lr=0.00015, betas=[0.9, 0.96], weight_decay=0.045)\noptimizer_config = dict()\nlr_config = dict(\n policy='step',\n warmup='linear',\n warmup_iters=1000,\n warmup_ratio=1e-06,\n step=20000,\n gamma=0.5,\n min_lr=1e-06,\n by_epoch=False)\nrunner = dict(type='IterBasedRunner', max_iters=160000)\ncheckpoint_config = dict(by_epoch=False, interval=16000, max_keep_ckpts=1)\nevaluation = dict(\n interval=16000, metric='mIoU', pre_eval=True, save_best='mIoU')\ncustom_hooks = [\n dict(\n type='ConstantMomentumEMAHook',\n momentum=0.01,\n interval=25,\n eval_interval=16000,\n auto_resume=True,\n priority=49)\n]\nwork_dir = './work_dirs2/ablation_segformer_mit_b2_segformer_head_unet_fc_small_multi_step_ade_pretrained_freeze_embed_160k_ade20k151_mask_finetune_maskonly'\ngpu_ids = range(0, 8)\nauto_resume = True\ndevice = 'cuda'\nseed = 1766429137\n", "CLASSES": ["background", "wall", "building", "sky", "floor", "tree", "ceiling", "road", "bed ", "windowpane", "grass", "cabinet", "sidewalk", "person", "earth", "door", "table", "mountain", "plant", "curtain", "chair", "car", "water", "painting", "sofa", "shelf", "house", "sea", "mirror", "rug", "field", "armchair", "seat", "fence", "desk", "rock", "wardrobe", "lamp", "bathtub", "railing", "cushion", "base", "box", "column", "signboard", "chest of drawers", "counter", "sand", "sink", "skyscraper", "fireplace", "refrigerator", "grandstand", "path", "stairs", "runway", "case", 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method is `None` +2023-03-04 21:50:20,872 - mmseg - INFO - OpenCV num_threads is `128 +2023-03-04 21:50:20,872 - mmseg - INFO - OMP num threads is 1 +2023-03-04 21:50:20,935 - mmseg - INFO - Environment info: +------------------------------------------------------------ +sys.platform: linux +Python: 3.7.16 (default, Jan 17 2023, 22:20:44) [GCC 11.2.0] +CUDA available: True +GPU 0,1,2,3,4,5,6,7: NVIDIA A100-SXM4-80GB +CUDA_HOME: /mnt/petrelfs/laizeqiang/miniconda3/envs/torch +NVCC: Cuda compilation tools, release 11.6, V11.6.124 +GCC: gcc (GCC) 4.8.5 20150623 (Red Hat 4.8.5-44) +PyTorch: 1.13.1 +PyTorch compiling details: PyTorch built with: + - GCC 9.3 + - C++ Version: 201402 + - Intel(R) oneAPI Math Kernel Library Version 2021.4-Product Build 20210904 for Intel(R) 64 architecture applications + - Intel(R) MKL-DNN v2.6.0 (Git Hash 52b5f107dd9cf10910aaa19cb47f3abf9b349815) + - OpenMP 201511 (a.k.a. OpenMP 4.5) + - LAPACK is enabled (usually provided by MKL) + - NNPACK is enabled + - CPU capability usage: AVX2 + - CUDA Runtime 11.6 + - NVCC architecture flags: -gencode;arch=compute_37,code=sm_37;-gencode;arch=compute_50,code=sm_50;-gencode;arch=compute_60,code=sm_60;-gencode;arch=compute_61,code=sm_61;-gencode;arch=compute_70,code=sm_70;-gencode;arch=compute_75,code=sm_75;-gencode;arch=compute_80,code=sm_80;-gencode;arch=compute_86,code=sm_86;-gencode;arch=compute_37,code=compute_37 + - CuDNN 8.3.2 (built against CUDA 11.5) + - Magma 2.6.1 + - Build settings: BLAS_INFO=mkl, BUILD_TYPE=Release, CUDA_VERSION=11.6, CUDNN_VERSION=8.3.2, CXX_COMPILER=/opt/rh/devtoolset-9/root/usr/bin/c++, CXX_FLAGS= -fabi-version=11 -Wno-deprecated -fvisibility-inlines-hidden -DUSE_PTHREADPOOL -fopenmp -DNDEBUG -DUSE_KINETO -DUSE_FBGEMM -DUSE_QNNPACK -DUSE_PYTORCH_QNNPACK -DUSE_XNNPACK -DSYMBOLICATE_MOBILE_DEBUG_HANDLE -DEDGE_PROFILER_USE_KINETO -O2 -fPIC -Wno-narrowing -Wall -Wextra -Werror=return-type -Werror=non-virtual-dtor -Wno-missing-field-initializers -Wno-type-limits -Wno-array-bounds -Wno-unknown-pragmas -Wunused-local-typedefs -Wno-unused-parameter -Wno-unused-function -Wno-unused-result -Wno-strict-overflow -Wno-strict-aliasing -Wno-error=deprecated-declarations -Wno-stringop-overflow -Wno-psabi -Wno-error=pedantic -Wno-error=redundant-decls -Wno-error=old-style-cast -fdiagnostics-color=always -faligned-new -Wno-unused-but-set-variable -Wno-maybe-uninitialized -fno-math-errno -fno-trapping-math -Werror=format -Werror=cast-function-type -Wno-stringop-overflow, LAPACK_INFO=mkl, PERF_WITH_AVX=1, PERF_WITH_AVX2=1, PERF_WITH_AVX512=1, TORCH_VERSION=1.13.1, USE_CUDA=ON, USE_CUDNN=ON, USE_EXCEPTION_PTR=1, USE_GFLAGS=OFF, USE_GLOG=OFF, USE_MKL=ON, USE_MKLDNN=ON, USE_MPI=OFF, USE_NCCL=ON, USE_NNPACK=ON, USE_OPENMP=ON, USE_ROCM=OFF, + +TorchVision: 0.14.1 +OpenCV: 4.7.0 +MMCV: 1.7.1 +MMCV Compiler: GCC 9.3 +MMCV CUDA Compiler: 11.6 +MMSegmentation: 0.30.0+6749699 +------------------------------------------------------------ + +2023-03-04 21:50:20,935 - mmseg - INFO - Distributed training: True +2023-03-04 21:50:21,624 - mmseg - INFO - Config: +norm_cfg = dict(type='SyncBN', requires_grad=True) +checkpoint = 'work_dirs2/ablation_segformer_mit_b2_segformer_head_unet_fc_single_step_ade_pretrained_freeze_embed_80k_ade20k151_mask/latest.pth' +model = dict( + type='EncoderDecoderDiffusion', + freeze_parameters=['backbone', 'decode_head'], + pretrained= + 'work_dirs2/ablation_segformer_mit_b2_segformer_head_unet_fc_single_step_ade_pretrained_freeze_embed_80k_ade20k151_mask/latest.pth', + backbone=dict( + type='MixVisionTransformerCustomInitWeights', + in_channels=3, + embed_dims=64, + num_stages=4, + num_layers=[3, 4, 6, 3], + num_heads=[1, 2, 5, 8], + patch_sizes=[7, 3, 3, 3], + sr_ratios=[8, 4, 2, 1], + out_indices=(0, 1, 2, 3), + mlp_ratio=4, + qkv_bias=True, + drop_rate=0.0, + attn_drop_rate=0.0, + drop_path_rate=0.1), + decode_head=dict( + type='SegformerHeadUnetFCHeadMultiStepMaskOnly', + pretrained= + 'work_dirs2/ablation_segformer_mit_b2_segformer_head_unet_fc_single_step_ade_pretrained_freeze_embed_80k_ade20k151_mask/latest.pth', + dim=128, + out_dim=256, + unet_channels=272, + dim_mults=[1, 1, 1], + cat_embedding_dim=16, + diffusion_timesteps=100, + collect_timesteps=[0, 10, 20, 30, 40, 50, 60, 70, 80, 90, 99], + in_channels=[64, 128, 320, 512], + in_index=[0, 1, 2, 3], + channels=256, + dropout_ratio=0.1, + num_classes=151, + norm_cfg=dict(type='SyncBN', requires_grad=True), + align_corners=False, + ignore_index=0, + loss_decode=dict( + type='CrossEntropyLoss', use_sigmoid=False, loss_weight=1.0)), + train_cfg=dict(), + test_cfg=dict(mode='whole')) +dataset_type = 'ADE20K151Dataset' +data_root = 'data/ade/ADEChallengeData2016' +img_norm_cfg = dict( + mean=[123.675, 116.28, 103.53], std=[58.395, 57.12, 57.375], to_rgb=True) +crop_size = (512, 512) +train_pipeline = [ + dict(type='LoadImageFromFile'), + dict(type='LoadAnnotations', reduce_zero_label=False), + dict(type='Resize', img_scale=(2048, 512), ratio_range=(0.5, 2.0)), + dict(type='RandomCrop', crop_size=(512, 512), cat_max_ratio=0.75), + dict(type='RandomFlip', prob=0.5), + dict(type='PhotoMetricDistortion'), + dict( + type='Normalize', + mean=[123.675, 116.28, 103.53], + std=[58.395, 57.12, 57.375], + to_rgb=True), + dict(type='Pad', size=(512, 512), pad_val=0, seg_pad_val=0), + dict(type='DefaultFormatBundle'), + dict(type='Collect', keys=['img', 'gt_semantic_seg']) +] +test_pipeline = [ + dict(type='LoadImageFromFile'), + dict( + type='MultiScaleFlipAug', + img_scale=(2048, 512), + flip=False, + transforms=[ + dict(type='Resize', keep_ratio=True), + dict(type='RandomFlip'), + dict( + type='Normalize', + mean=[123.675, 116.28, 103.53], + std=[58.395, 57.12, 57.375], + to_rgb=True), + dict(type='Pad', size_divisor=16, pad_val=0, seg_pad_val=0), + dict(type='ImageToTensor', keys=['img']), + dict(type='Collect', keys=['img']) + ]) +] +data = dict( + samples_per_gpu=4, + workers_per_gpu=4, + train=dict( + type='ADE20K151Dataset', + data_root='data/ade/ADEChallengeData2016', + img_dir='images/training', + ann_dir='annotations/training', + pipeline=[ + dict(type='LoadImageFromFile'), + dict(type='LoadAnnotations', reduce_zero_label=False), + dict(type='Resize', img_scale=(2048, 512), ratio_range=(0.5, 2.0)), + dict(type='RandomCrop', crop_size=(512, 512), cat_max_ratio=0.75), + dict(type='RandomFlip', prob=0.5), + dict(type='PhotoMetricDistortion'), + dict( + type='Normalize', + mean=[123.675, 116.28, 103.53], + std=[58.395, 57.12, 57.375], + to_rgb=True), + dict(type='Pad', size=(512, 512), pad_val=0, seg_pad_val=0), + dict(type='DefaultFormatBundle'), + dict(type='Collect', keys=['img', 'gt_semantic_seg']) + ]), + val=dict( + type='ADE20K151Dataset', + data_root='data/ade/ADEChallengeData2016', + img_dir='images/validation', + ann_dir='annotations/validation', + pipeline=[ + dict(type='LoadImageFromFile'), + dict( + type='MultiScaleFlipAug', + img_scale=(2048, 512), + flip=False, + transforms=[ + dict(type='Resize', keep_ratio=True), + dict(type='RandomFlip'), + dict( + type='Normalize', + mean=[123.675, 116.28, 103.53], + std=[58.395, 57.12, 57.375], + to_rgb=True), + dict( + type='Pad', size_divisor=16, pad_val=0, seg_pad_val=0), + dict(type='ImageToTensor', keys=['img']), + dict(type='Collect', keys=['img']) + ]) + ]), + test=dict( + type='ADE20K151Dataset', + data_root='data/ade/ADEChallengeData2016', + img_dir='images/validation', + ann_dir='annotations/validation', + pipeline=[ + dict(type='LoadImageFromFile'), + dict( + type='MultiScaleFlipAug', + img_scale=(2048, 512), + flip=False, + transforms=[ + dict(type='Resize', keep_ratio=True), + dict(type='RandomFlip'), + dict( + type='Normalize', + mean=[123.675, 116.28, 103.53], + std=[58.395, 57.12, 57.375], + to_rgb=True), + dict( + type='Pad', size_divisor=16, pad_val=0, seg_pad_val=0), + dict(type='ImageToTensor', keys=['img']), + dict(type='Collect', keys=['img']) + ]) + ])) +log_config = dict( + interval=50, hooks=[dict(type='TextLoggerHook', by_epoch=False)]) +dist_params = dict(backend='nccl') +log_level = 'INFO' +load_from = None +resume_from = None +workflow = [('train', 1)] +cudnn_benchmark = True +optimizer = dict( + type='AdamW', lr=0.00015, betas=[0.9, 0.96], weight_decay=0.045) +optimizer_config = dict() +lr_config = dict( + policy='step', + warmup='linear', + warmup_iters=1000, + warmup_ratio=1e-06, + step=20000, + gamma=0.5, + min_lr=1e-06, + by_epoch=False) +runner = dict(type='IterBasedRunner', max_iters=160000) +checkpoint_config = dict(by_epoch=False, interval=16000, max_keep_ckpts=1) +evaluation = dict( + interval=16000, metric='mIoU', pre_eval=True, save_best='mIoU') +custom_hooks = [ + dict( + type='ConstantMomentumEMAHook', + momentum=0.01, + interval=25, + eval_interval=16000, + auto_resume=True, + priority=49) +] +work_dir = './work_dirs2/ablation_segformer_mit_b2_segformer_head_unet_fc_small_multi_step_ade_pretrained_freeze_embed_160k_ade20k151_mask_finetune_maskonly' +gpu_ids = range(0, 8) +auto_resume = True + +2023-03-04 21:50:25,964 - mmseg - INFO - Set random seed to 524175593, deterministic: False +2023-03-04 21:50:26,228 - mmseg - INFO - Parameters in backbone freezed! +2023-03-04 21:50:26,229 - mmseg - INFO - Trainable parameters in SegformerHeadUnetFCHeadMultiStep: ['unet.init_conv.weight', 'unet.init_conv.bias', 'unet.time_mlp.1.weight', 'unet.time_mlp.1.bias', 'unet.time_mlp.3.weight', 'unet.time_mlp.3.bias', 'unet.downs.0.0.mlp.1.weight', 'unet.downs.0.0.mlp.1.bias', 'unet.downs.0.0.block1.proj.weight', 'unet.downs.0.0.block1.proj.bias', 'unet.downs.0.0.block1.norm.weight', 'unet.downs.0.0.block1.norm.bias', 'unet.downs.0.0.block2.proj.weight', 'unet.downs.0.0.block2.proj.bias', 'unet.downs.0.0.block2.norm.weight', 'unet.downs.0.0.block2.norm.bias', 'unet.downs.0.1.mlp.1.weight', 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'unet.mid_block2.block1.proj.weight', 'unet.mid_block2.block1.proj.bias', 'unet.mid_block2.block1.norm.weight', 'unet.mid_block2.block1.norm.bias', 'unet.mid_block2.block2.proj.weight', 'unet.mid_block2.block2.proj.bias', 'unet.mid_block2.block2.norm.weight', 'unet.mid_block2.block2.norm.bias', 'unet.final_res_block.mlp.1.weight', 'unet.final_res_block.mlp.1.bias', 'unet.final_res_block.block1.proj.weight', 'unet.final_res_block.block1.proj.bias', 'unet.final_res_block.block1.norm.weight', 'unet.final_res_block.block1.norm.bias', 'unet.final_res_block.block2.proj.weight', 'unet.final_res_block.block2.proj.bias', 'unet.final_res_block.block2.norm.weight', 'unet.final_res_block.block2.norm.bias', 'unet.final_res_block.res_conv.weight', 'unet.final_res_block.res_conv.bias', 'unet.final_conv.weight', 'unet.final_conv.bias', 'conv_seg_new.weight', 'conv_seg_new.bias'] +2023-03-04 21:50:26,229 - mmseg - INFO - Parameters in decode_head freezed! +2023-03-04 21:50:26,249 - mmseg - INFO - load checkpoint from local path: work_dirs2/ablation_segformer_mit_b2_segformer_head_unet_fc_single_step_ade_pretrained_freeze_embed_80k_ade20k151_mask/latest.pth +2023-03-04 21:50:27,049 - mmseg - WARNING - The model and loaded state dict do not match exactly + +unexpected key in source state_dict: decode_head.convs.0.conv.weight, decode_head.convs.0.bn.weight, decode_head.convs.0.bn.bias, decode_head.convs.0.bn.running_mean, decode_head.convs.0.bn.running_var, decode_head.convs.0.bn.num_batches_tracked, decode_head.convs.1.conv.weight, decode_head.convs.1.bn.weight, decode_head.convs.1.bn.bias, decode_head.convs.1.bn.running_mean, decode_head.convs.1.bn.running_var, decode_head.convs.1.bn.num_batches_tracked, decode_head.convs.2.conv.weight, decode_head.convs.2.bn.weight, decode_head.convs.2.bn.bias, decode_head.convs.2.bn.running_mean, decode_head.convs.2.bn.running_var, decode_head.convs.2.bn.num_batches_tracked, decode_head.convs.3.conv.weight, decode_head.convs.3.bn.weight, 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decode_head.unet.final_conv.bias, decode_head.conv_seg_new.weight, decode_head.conv_seg_new.bias, decode_head.embed.weight + +2023-03-04 21:50:27,066 - mmseg - INFO - load checkpoint from local path: work_dirs2/ablation_segformer_mit_b2_segformer_head_unet_fc_single_step_ade_pretrained_freeze_embed_80k_ade20k151_mask/latest.pth +2023-03-04 21:50:27,553 - mmseg - WARNING - The model and loaded state dict do not match exactly + +unexpected key in source state_dict: backbone.layers.0.0.projection.weight, backbone.layers.0.0.projection.bias, backbone.layers.0.0.norm.weight, backbone.layers.0.0.norm.bias, backbone.layers.0.1.0.norm1.weight, backbone.layers.0.1.0.norm1.bias, backbone.layers.0.1.0.attn.attn.in_proj_weight, backbone.layers.0.1.0.attn.attn.in_proj_bias, backbone.layers.0.1.0.attn.attn.out_proj.weight, backbone.layers.0.1.0.attn.attn.out_proj.bias, backbone.layers.0.1.0.attn.sr.weight, backbone.layers.0.1.0.attn.sr.bias, backbone.layers.0.1.0.attn.norm.weight, 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EncoderDecoderDiffusion( + (backbone): MixVisionTransformerCustomInitWeights( + (layers): ModuleList( + (0): ModuleList( + (0): PatchEmbed( + (projection): Conv2d(3, 64, kernel_size=(7, 7), stride=(4, 4), padding=(3, 3)) + (norm): LayerNorm((64,), eps=1e-06, elementwise_affine=True) + ) + (1): ModuleList( + (0): TransformerEncoderLayer( + (norm1): LayerNorm((64,), eps=1e-06, elementwise_affine=True) + (attn): EfficientMultiheadAttention( + (attn): MultiheadAttention( + (out_proj): NonDynamicallyQuantizableLinear(in_features=64, out_features=64, bias=True) + ) + (proj_drop): Dropout(p=0.0, inplace=False) + (dropout_layer): DropPath() + (sr): Conv2d(64, 64, kernel_size=(8, 8), stride=(8, 8)) + (norm): LayerNorm((64,), eps=1e-06, elementwise_affine=True) + ) + (norm2): LayerNorm((64,), eps=1e-06, elementwise_affine=True) + (ffn): MixFFN( + (activate): GELU(approximate='none') + (layers): Sequential( + (0): Conv2d(64, 256, kernel_size=(1, 1), stride=(1, 1)) + (1): Conv2d(256, 256, 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GELU(approximate='none') + (3): Dropout(p=0.0, inplace=False) + (4): Conv2d(256, 64, kernel_size=(1, 1), stride=(1, 1)) + (5): Dropout(p=0.0, inplace=False) + ) + (dropout_layer): DropPath() + ) + ) + ) + (2): LayerNorm((64,), eps=1e-06, elementwise_affine=True) + ) + (1): ModuleList( + (0): PatchEmbed( + (projection): Conv2d(64, 128, kernel_size=(3, 3), stride=(2, 2), padding=(1, 1)) + (norm): LayerNorm((128,), eps=1e-06, elementwise_affine=True) + ) + (1): ModuleList( + (0): TransformerEncoderLayer( + (norm1): LayerNorm((128,), eps=1e-06, elementwise_affine=True) + (attn): EfficientMultiheadAttention( + (attn): MultiheadAttention( + (out_proj): NonDynamicallyQuantizableLinear(in_features=128, out_features=128, bias=True) + ) + (proj_drop): Dropout(p=0.0, inplace=False) + (dropout_layer): DropPath() + (sr): Conv2d(128, 128, kernel_size=(4, 4), stride=(4, 4)) + (norm): LayerNorm((128,), eps=1e-06, elementwise_affine=True) + ) + (norm2): LayerNorm((128,), eps=1e-06, 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MixFFN( + (activate): GELU(approximate='none') + (layers): Sequential( + (0): Conv2d(128, 512, kernel_size=(1, 1), stride=(1, 1)) + (1): Conv2d(512, 512, kernel_size=(3, 3), stride=(1, 1), padding=(1, 1), groups=512) + (2): GELU(approximate='none') + (3): Dropout(p=0.0, inplace=False) + (4): Conv2d(512, 128, kernel_size=(1, 1), stride=(1, 1)) + (5): Dropout(p=0.0, inplace=False) + ) + (dropout_layer): DropPath() + ) + ) + (2): TransformerEncoderLayer( + (norm1): LayerNorm((128,), eps=1e-06, elementwise_affine=True) + (attn): EfficientMultiheadAttention( + (attn): MultiheadAttention( + (out_proj): NonDynamicallyQuantizableLinear(in_features=128, out_features=128, bias=True) + ) + (proj_drop): Dropout(p=0.0, inplace=False) + (dropout_layer): DropPath() + (sr): Conv2d(128, 128, kernel_size=(4, 4), stride=(4, 4)) + (norm): LayerNorm((128,), eps=1e-06, elementwise_affine=True) + ) + (norm2): LayerNorm((128,), eps=1e-06, elementwise_affine=True) + (ffn): MixFFN( + (activate): 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stride=(2, 2)) + (norm): LayerNorm((320,), eps=1e-06, elementwise_affine=True) + ) + (norm2): LayerNorm((320,), eps=1e-06, elementwise_affine=True) + (ffn): MixFFN( + (activate): GELU(approximate='none') + (layers): Sequential( + (0): Conv2d(320, 1280, kernel_size=(1, 1), stride=(1, 1)) + (1): Conv2d(1280, 1280, kernel_size=(3, 3), stride=(1, 1), padding=(1, 1), groups=1280) + (2): GELU(approximate='none') + (3): Dropout(p=0.0, inplace=False) + (4): Conv2d(1280, 320, kernel_size=(1, 1), stride=(1, 1)) + (5): Dropout(p=0.0, inplace=False) + ) + (dropout_layer): DropPath() + ) + ) + (2): TransformerEncoderLayer( + (norm1): LayerNorm((320,), eps=1e-06, elementwise_affine=True) + (attn): EfficientMultiheadAttention( + (attn): MultiheadAttention( + (out_proj): NonDynamicallyQuantizableLinear(in_features=320, out_features=320, bias=True) + ) + (proj_drop): Dropout(p=0.0, inplace=False) + (dropout_layer): DropPath() + (sr): Conv2d(320, 320, kernel_size=(2, 2), stride=(2, 2)) + (norm): LayerNorm((320,), eps=1e-06, elementwise_affine=True) + ) + (norm2): LayerNorm((320,), eps=1e-06, elementwise_affine=True) + (ffn): MixFFN( + (activate): GELU(approximate='none') + (layers): Sequential( + (0): Conv2d(320, 1280, kernel_size=(1, 1), stride=(1, 1)) + (1): Conv2d(1280, 1280, kernel_size=(3, 3), stride=(1, 1), padding=(1, 1), groups=1280) + (2): GELU(approximate='none') + (3): Dropout(p=0.0, inplace=False) + (4): Conv2d(1280, 320, kernel_size=(1, 1), stride=(1, 1)) + (5): Dropout(p=0.0, inplace=False) + ) + (dropout_layer): DropPath() + ) + ) + (3): TransformerEncoderLayer( + (norm1): LayerNorm((320,), eps=1e-06, elementwise_affine=True) + (attn): EfficientMultiheadAttention( + (attn): MultiheadAttention( + (out_proj): NonDynamicallyQuantizableLinear(in_features=320, out_features=320, bias=True) + ) + (proj_drop): Dropout(p=0.0, inplace=False) + (dropout_layer): DropPath() + (sr): Conv2d(320, 320, kernel_size=(2, 2), stride=(2, 2)) + (norm): LayerNorm((320,), eps=1e-06, elementwise_affine=True) + ) + (norm2): LayerNorm((320,), eps=1e-06, elementwise_affine=True) + (ffn): MixFFN( + (activate): GELU(approximate='none') + (layers): Sequential( + (0): Conv2d(320, 1280, kernel_size=(1, 1), stride=(1, 1)) + (1): Conv2d(1280, 1280, kernel_size=(3, 3), stride=(1, 1), padding=(1, 1), groups=1280) + (2): GELU(approximate='none') + (3): Dropout(p=0.0, inplace=False) + (4): Conv2d(1280, 320, kernel_size=(1, 1), stride=(1, 1)) + (5): Dropout(p=0.0, inplace=False) + ) + (dropout_layer): DropPath() + ) + ) + (4): TransformerEncoderLayer( + (norm1): LayerNorm((320,), eps=1e-06, elementwise_affine=True) + (attn): EfficientMultiheadAttention( + (attn): MultiheadAttention( + (out_proj): NonDynamicallyQuantizableLinear(in_features=320, out_features=320, bias=True) + ) + (proj_drop): Dropout(p=0.0, inplace=False) + (dropout_layer): DropPath() + (sr): Conv2d(320, 320, kernel_size=(2, 2), stride=(2, 2)) + (norm): LayerNorm((320,), eps=1e-06, elementwise_affine=True) + ) + (norm2): LayerNorm((320,), eps=1e-06, elementwise_affine=True) + (ffn): MixFFN( + (activate): GELU(approximate='none') + (layers): Sequential( + (0): Conv2d(320, 1280, kernel_size=(1, 1), stride=(1, 1)) + (1): Conv2d(1280, 1280, kernel_size=(3, 3), stride=(1, 1), padding=(1, 1), groups=1280) + (2): GELU(approximate='none') + (3): Dropout(p=0.0, inplace=False) + (4): Conv2d(1280, 320, kernel_size=(1, 1), stride=(1, 1)) + (5): Dropout(p=0.0, inplace=False) + ) + (dropout_layer): DropPath() + ) + ) + (5): TransformerEncoderLayer( + (norm1): LayerNorm((320,), eps=1e-06, elementwise_affine=True) + (attn): EfficientMultiheadAttention( + (attn): MultiheadAttention( + (out_proj): NonDynamicallyQuantizableLinear(in_features=320, out_features=320, bias=True) + ) + (proj_drop): Dropout(p=0.0, inplace=False) + (dropout_layer): DropPath() + (sr): Conv2d(320, 320, kernel_size=(2, 2), stride=(2, 2)) + (norm): LayerNorm((320,), eps=1e-06, elementwise_affine=True) + ) + (norm2): LayerNorm((320,), eps=1e-06, elementwise_affine=True) + (ffn): MixFFN( + (activate): GELU(approximate='none') + (layers): Sequential( + (0): Conv2d(320, 1280, kernel_size=(1, 1), stride=(1, 1)) + (1): Conv2d(1280, 1280, kernel_size=(3, 3), stride=(1, 1), padding=(1, 1), groups=1280) + (2): GELU(approximate='none') + (3): Dropout(p=0.0, inplace=False) + (4): Conv2d(1280, 320, kernel_size=(1, 1), stride=(1, 1)) + (5): Dropout(p=0.0, inplace=False) + ) + (dropout_layer): DropPath() + ) + ) + ) + (2): LayerNorm((320,), eps=1e-06, elementwise_affine=True) + ) + (3): ModuleList( + (0): PatchEmbed( + (projection): Conv2d(320, 512, kernel_size=(3, 3), stride=(2, 2), padding=(1, 1)) + (norm): LayerNorm((512,), eps=1e-06, elementwise_affine=True) + ) + (1): ModuleList( + (0): TransformerEncoderLayer( + (norm1): LayerNorm((512,), eps=1e-06, elementwise_affine=True) + (attn): EfficientMultiheadAttention( + (attn): MultiheadAttention( + (out_proj): NonDynamicallyQuantizableLinear(in_features=512, out_features=512, bias=True) + ) + (proj_drop): Dropout(p=0.0, inplace=False) + (dropout_layer): DropPath() + ) + (norm2): LayerNorm((512,), eps=1e-06, elementwise_affine=True) + (ffn): MixFFN( + (activate): GELU(approximate='none') + (layers): Sequential( + (0): Conv2d(512, 2048, kernel_size=(1, 1), stride=(1, 1)) + (1): Conv2d(2048, 2048, kernel_size=(3, 3), stride=(1, 1), padding=(1, 1), groups=2048) + (2): GELU(approximate='none') + (3): Dropout(p=0.0, inplace=False) + (4): Conv2d(2048, 512, kernel_size=(1, 1), stride=(1, 1)) + (5): Dropout(p=0.0, inplace=False) + ) + (dropout_layer): DropPath() + ) + ) + (1): TransformerEncoderLayer( + (norm1): LayerNorm((512,), eps=1e-06, elementwise_affine=True) + (attn): EfficientMultiheadAttention( + (attn): MultiheadAttention( + (out_proj): NonDynamicallyQuantizableLinear(in_features=512, out_features=512, bias=True) + ) + (proj_drop): Dropout(p=0.0, inplace=False) + (dropout_layer): DropPath() + ) + (norm2): LayerNorm((512,), eps=1e-06, elementwise_affine=True) + (ffn): MixFFN( + (activate): GELU(approximate='none') + (layers): Sequential( + (0): Conv2d(512, 2048, kernel_size=(1, 1), stride=(1, 1)) + (1): Conv2d(2048, 2048, kernel_size=(3, 3), stride=(1, 1), padding=(1, 1), groups=2048) + (2): GELU(approximate='none') + (3): Dropout(p=0.0, inplace=False) + (4): Conv2d(2048, 512, kernel_size=(1, 1), stride=(1, 1)) + (5): Dropout(p=0.0, inplace=False) + ) + (dropout_layer): DropPath() + ) + ) + (2): TransformerEncoderLayer( + (norm1): LayerNorm((512,), eps=1e-06, elementwise_affine=True) + (attn): EfficientMultiheadAttention( + (attn): MultiheadAttention( + (out_proj): NonDynamicallyQuantizableLinear(in_features=512, out_features=512, bias=True) + ) + (proj_drop): Dropout(p=0.0, inplace=False) + (dropout_layer): DropPath() + ) + (norm2): LayerNorm((512,), eps=1e-06, elementwise_affine=True) + (ffn): MixFFN( + (activate): GELU(approximate='none') + (layers): Sequential( + (0): Conv2d(512, 2048, kernel_size=(1, 1), stride=(1, 1)) + (1): Conv2d(2048, 2048, kernel_size=(3, 3), stride=(1, 1), padding=(1, 1), groups=2048) + (2): GELU(approximate='none') + (3): Dropout(p=0.0, inplace=False) + (4): Conv2d(2048, 512, kernel_size=(1, 1), stride=(1, 1)) + (5): Dropout(p=0.0, inplace=False) + ) + (dropout_layer): DropPath() + ) + ) + ) + (2): LayerNorm((512,), eps=1e-06, elementwise_affine=True) + ) + ) + ) + init_cfg={'type': 'Pretrained', 'checkpoint': 'work_dirs2/ablation_segformer_mit_b2_segformer_head_unet_fc_single_step_ade_pretrained_freeze_embed_80k_ade20k151_mask/latest.pth'} + (decode_head): SegformerHeadUnetFCHeadMultiStepMaskOnly( + input_transform=multiple_select, ignore_index=0, align_corners=False + (loss_decode): CrossEntropyLoss(avg_non_ignore=False) + (conv_seg): None + (dropout): Dropout2d(p=0.1, inplace=False) + (convs): ModuleList( + (0): ConvModule( + (conv): Conv2d(64, 256, kernel_size=(1, 1), stride=(1, 1), bias=False) + (bn): SyncBatchNorm(256, eps=1e-05, momentum=0.1, affine=True, track_running_stats=True) + (activate): ReLU(inplace=True) + ) + (1): ConvModule( + (conv): Conv2d(128, 256, kernel_size=(1, 1), stride=(1, 1), bias=False) + (bn): SyncBatchNorm(256, eps=1e-05, momentum=0.1, affine=True, track_running_stats=True) + (activate): ReLU(inplace=True) + ) + (2): ConvModule( + (conv): Conv2d(320, 256, kernel_size=(1, 1), stride=(1, 1), bias=False) + (bn): SyncBatchNorm(256, eps=1e-05, momentum=0.1, affine=True, track_running_stats=True) + (activate): ReLU(inplace=True) + ) + (3): ConvModule( + (conv): Conv2d(512, 256, kernel_size=(1, 1), stride=(1, 1), bias=False) + (bn): SyncBatchNorm(256, eps=1e-05, momentum=0.1, affine=True, track_running_stats=True) + (activate): ReLU(inplace=True) + ) + ) + (fusion_conv): ConvModule( + (conv): Conv2d(1024, 256, kernel_size=(1, 1), stride=(1, 1), bias=False) + (bn): SyncBatchNorm(256, eps=1e-05, momentum=0.1, affine=True, track_running_stats=True) + (activate): ReLU(inplace=True) + ) + (unet): Unet( + (init_conv): Conv2d(272, 128, kernel_size=(7, 7), stride=(1, 1), padding=(3, 3)) + (time_mlp): Sequential( + (0): SinusoidalPosEmb() + (1): Linear(in_features=128, out_features=512, bias=True) + (2): GELU(approximate='none') + (3): Linear(in_features=512, out_features=512, bias=True) + ) + (downs): ModuleList( + (0): ModuleList( + (0): ResnetBlock( + (mlp): Sequential( + (0): SiLU() + (1): Linear(in_features=512, out_features=256, bias=True) + ) + (block1): Block( + (proj): WeightStandardizedConv2d(128, 128, kernel_size=(3, 3), stride=(1, 1), padding=(1, 1)) + (norm): GroupNorm(8, 128, eps=1e-05, affine=True) + (act): SiLU() + ) + (block2): Block( + (proj): WeightStandardizedConv2d(128, 128, kernel_size=(3, 3), stride=(1, 1), padding=(1, 1)) + (norm): GroupNorm(8, 128, eps=1e-05, affine=True) + (act): SiLU() + ) + (res_conv): Identity() + ) + (1): ResnetBlock( + (mlp): Sequential( + (0): SiLU() + (1): Linear(in_features=512, out_features=256, bias=True) + ) + (block1): Block( + (proj): WeightStandardizedConv2d(128, 128, kernel_size=(3, 3), stride=(1, 1), padding=(1, 1)) + (norm): GroupNorm(8, 128, eps=1e-05, affine=True) + (act): SiLU() + ) + (block2): Block( + (proj): WeightStandardizedConv2d(128, 128, kernel_size=(3, 3), stride=(1, 1), padding=(1, 1)) + (norm): GroupNorm(8, 128, eps=1e-05, affine=True) + (act): SiLU() + ) + (res_conv): Identity() + ) + (2): Residual( + (fn): PreNorm( + (fn): LinearAttention( + (to_qkv): Conv2d(128, 384, kernel_size=(1, 1), stride=(1, 1), bias=False) + (to_out): Sequential( + (0): Conv2d(128, 128, kernel_size=(1, 1), stride=(1, 1)) + (1): LayerNorm() + ) + ) + (norm): LayerNorm() + ) + ) + (3): Conv2d(128, 128, kernel_size=(4, 4), stride=(2, 2), padding=(1, 1)) + ) + (1): ModuleList( + (0): ResnetBlock( + (mlp): Sequential( + (0): SiLU() + (1): Linear(in_features=512, out_features=256, bias=True) + ) + (block1): Block( + (proj): WeightStandardizedConv2d(128, 128, kernel_size=(3, 3), stride=(1, 1), padding=(1, 1)) + (norm): GroupNorm(8, 128, eps=1e-05, affine=True) + (act): SiLU() + ) + (block2): Block( + (proj): WeightStandardizedConv2d(128, 128, kernel_size=(3, 3), stride=(1, 1), padding=(1, 1)) + (norm): GroupNorm(8, 128, eps=1e-05, affine=True) + (act): SiLU() + ) + (res_conv): Identity() + ) + (1): ResnetBlock( + (mlp): Sequential( + (0): SiLU() + (1): Linear(in_features=512, out_features=256, bias=True) + ) + (block1): Block( + (proj): WeightStandardizedConv2d(128, 128, kernel_size=(3, 3), stride=(1, 1), padding=(1, 1)) + (norm): GroupNorm(8, 128, eps=1e-05, affine=True) + (act): SiLU() + ) + (block2): Block( + (proj): WeightStandardizedConv2d(128, 128, kernel_size=(3, 3), stride=(1, 1), padding=(1, 1)) + (norm): GroupNorm(8, 128, eps=1e-05, affine=True) + (act): SiLU() + ) + (res_conv): Identity() + ) + (2): Residual( + (fn): PreNorm( + (fn): LinearAttention( + (to_qkv): Conv2d(128, 384, kernel_size=(1, 1), stride=(1, 1), bias=False) + (to_out): Sequential( + (0): Conv2d(128, 128, kernel_size=(1, 1), stride=(1, 1)) + (1): LayerNorm() + ) + ) + (norm): LayerNorm() + ) + ) + (3): Conv2d(128, 128, kernel_size=(4, 4), stride=(2, 2), padding=(1, 1)) + ) + (2): ModuleList( + (0): ResnetBlock( + (mlp): Sequential( + (0): SiLU() + (1): Linear(in_features=512, out_features=256, bias=True) + ) + (block1): Block( + (proj): WeightStandardizedConv2d(128, 128, kernel_size=(3, 3), stride=(1, 1), padding=(1, 1)) + (norm): GroupNorm(8, 128, eps=1e-05, affine=True) + (act): SiLU() + ) + (block2): Block( + (proj): WeightStandardizedConv2d(128, 128, kernel_size=(3, 3), stride=(1, 1), padding=(1, 1)) + (norm): GroupNorm(8, 128, eps=1e-05, affine=True) + (act): SiLU() + ) + (res_conv): Identity() + ) + (1): ResnetBlock( + (mlp): Sequential( + (0): SiLU() + (1): Linear(in_features=512, out_features=256, bias=True) + ) + (block1): Block( + (proj): WeightStandardizedConv2d(128, 128, kernel_size=(3, 3), stride=(1, 1), padding=(1, 1)) + (norm): GroupNorm(8, 128, eps=1e-05, affine=True) + (act): SiLU() + ) + (block2): Block( + (proj): WeightStandardizedConv2d(128, 128, kernel_size=(3, 3), stride=(1, 1), padding=(1, 1)) + (norm): GroupNorm(8, 128, eps=1e-05, affine=True) + (act): SiLU() + ) + (res_conv): Identity() + ) + (2): Residual( + (fn): PreNorm( + (fn): LinearAttention( + (to_qkv): Conv2d(128, 384, kernel_size=(1, 1), stride=(1, 1), bias=False) + (to_out): Sequential( + (0): Conv2d(128, 128, kernel_size=(1, 1), stride=(1, 1)) + (1): LayerNorm() + ) + ) + (norm): LayerNorm() + ) + ) + (3): Conv2d(128, 128, kernel_size=(3, 3), stride=(1, 1), padding=(1, 1)) + ) + ) + (ups): ModuleList( + (0): ModuleList( + (0): ResnetBlock( + (mlp): Sequential( + (0): SiLU() + (1): Linear(in_features=512, out_features=256, bias=True) + ) + (block1): Block( + (proj): WeightStandardizedConv2d(256, 128, kernel_size=(3, 3), stride=(1, 1), padding=(1, 1)) + (norm): GroupNorm(8, 128, eps=1e-05, affine=True) + (act): SiLU() + ) + (block2): Block( + (proj): WeightStandardizedConv2d(128, 128, kernel_size=(3, 3), stride=(1, 1), padding=(1, 1)) + (norm): GroupNorm(8, 128, eps=1e-05, affine=True) + (act): SiLU() + ) + (res_conv): Conv2d(256, 128, kernel_size=(1, 1), stride=(1, 1)) + ) + (1): ResnetBlock( + (mlp): Sequential( + (0): SiLU() + (1): Linear(in_features=512, out_features=256, bias=True) + ) + (block1): Block( + (proj): WeightStandardizedConv2d(256, 128, kernel_size=(3, 3), stride=(1, 1), padding=(1, 1)) + (norm): GroupNorm(8, 128, eps=1e-05, affine=True) + (act): SiLU() + ) + (block2): Block( + (proj): WeightStandardizedConv2d(128, 128, kernel_size=(3, 3), stride=(1, 1), padding=(1, 1)) + (norm): GroupNorm(8, 128, eps=1e-05, affine=True) + (act): SiLU() + ) + (res_conv): Conv2d(256, 128, kernel_size=(1, 1), stride=(1, 1)) + ) + (2): Residual( + (fn): PreNorm( + (fn): LinearAttention( + (to_qkv): Conv2d(128, 384, kernel_size=(1, 1), stride=(1, 1), bias=False) + (to_out): Sequential( + (0): Conv2d(128, 128, kernel_size=(1, 1), stride=(1, 1)) + (1): LayerNorm() + ) + ) + (norm): LayerNorm() + ) + ) + (3): Sequential( + (0): Upsample(scale_factor=2.0, mode=nearest) + (1): Conv2d(128, 128, kernel_size=(3, 3), stride=(1, 1), padding=(1, 1)) + ) + ) + (1): ModuleList( + (0): ResnetBlock( + (mlp): Sequential( + (0): SiLU() + (1): Linear(in_features=512, out_features=256, bias=True) + ) + (block1): Block( + (proj): WeightStandardizedConv2d(256, 128, kernel_size=(3, 3), stride=(1, 1), padding=(1, 1)) + (norm): GroupNorm(8, 128, eps=1e-05, affine=True) + (act): SiLU() + ) + (block2): Block( + (proj): WeightStandardizedConv2d(128, 128, kernel_size=(3, 3), stride=(1, 1), padding=(1, 1)) + (norm): GroupNorm(8, 128, eps=1e-05, affine=True) + (act): SiLU() + ) + (res_conv): Conv2d(256, 128, kernel_size=(1, 1), stride=(1, 1)) + ) + (1): ResnetBlock( + (mlp): Sequential( + (0): SiLU() + (1): Linear(in_features=512, out_features=256, bias=True) + ) + (block1): Block( + (proj): WeightStandardizedConv2d(256, 128, kernel_size=(3, 3), stride=(1, 1), padding=(1, 1)) + (norm): GroupNorm(8, 128, eps=1e-05, affine=True) + (act): SiLU() + ) + (block2): Block( + (proj): WeightStandardizedConv2d(128, 128, kernel_size=(3, 3), stride=(1, 1), padding=(1, 1)) + (norm): GroupNorm(8, 128, eps=1e-05, affine=True) + (act): SiLU() + ) + (res_conv): Conv2d(256, 128, kernel_size=(1, 1), stride=(1, 1)) + ) + (2): Residual( + (fn): PreNorm( + (fn): LinearAttention( + (to_qkv): Conv2d(128, 384, kernel_size=(1, 1), stride=(1, 1), bias=False) + (to_out): Sequential( + (0): Conv2d(128, 128, kernel_size=(1, 1), stride=(1, 1)) + (1): LayerNorm() + ) + ) + (norm): LayerNorm() + ) + ) + (3): Sequential( + (0): Upsample(scale_factor=2.0, mode=nearest) + (1): Conv2d(128, 128, kernel_size=(3, 3), stride=(1, 1), padding=(1, 1)) + ) + ) + (2): ModuleList( + (0): ResnetBlock( + (mlp): Sequential( + (0): SiLU() + (1): Linear(in_features=512, out_features=256, bias=True) + ) + (block1): Block( + (proj): WeightStandardizedConv2d(256, 128, kernel_size=(3, 3), stride=(1, 1), padding=(1, 1)) + (norm): GroupNorm(8, 128, eps=1e-05, affine=True) + (act): SiLU() + ) + (block2): Block( + (proj): WeightStandardizedConv2d(128, 128, kernel_size=(3, 3), stride=(1, 1), padding=(1, 1)) + (norm): GroupNorm(8, 128, eps=1e-05, affine=True) + (act): SiLU() + ) + (res_conv): Conv2d(256, 128, kernel_size=(1, 1), stride=(1, 1)) + ) + (1): ResnetBlock( + (mlp): Sequential( + (0): SiLU() + (1): Linear(in_features=512, out_features=256, bias=True) + ) + (block1): Block( + (proj): WeightStandardizedConv2d(256, 128, kernel_size=(3, 3), stride=(1, 1), padding=(1, 1)) + (norm): GroupNorm(8, 128, eps=1e-05, affine=True) + (act): SiLU() + ) + (block2): Block( + (proj): WeightStandardizedConv2d(128, 128, kernel_size=(3, 3), stride=(1, 1), padding=(1, 1)) + (norm): GroupNorm(8, 128, eps=1e-05, affine=True) + (act): SiLU() + ) + (res_conv): Conv2d(256, 128, kernel_size=(1, 1), stride=(1, 1)) + ) + (2): Residual( + (fn): PreNorm( + (fn): LinearAttention( + (to_qkv): Conv2d(128, 384, kernel_size=(1, 1), stride=(1, 1), bias=False) + (to_out): Sequential( + (0): Conv2d(128, 128, kernel_size=(1, 1), stride=(1, 1)) + (1): LayerNorm() + ) + ) + (norm): LayerNorm() + ) + ) + (3): Conv2d(128, 128, kernel_size=(3, 3), stride=(1, 1), padding=(1, 1)) + ) + ) + (mid_block1): ResnetBlock( + (mlp): Sequential( + (0): SiLU() + (1): Linear(in_features=512, out_features=256, bias=True) + ) + (block1): Block( + (proj): WeightStandardizedConv2d(128, 128, kernel_size=(3, 3), stride=(1, 1), padding=(1, 1)) + (norm): GroupNorm(8, 128, eps=1e-05, affine=True) + (act): SiLU() + ) + (block2): Block( + (proj): WeightStandardizedConv2d(128, 128, kernel_size=(3, 3), stride=(1, 1), padding=(1, 1)) + (norm): GroupNorm(8, 128, eps=1e-05, affine=True) + (act): SiLU() + ) + (res_conv): Identity() + ) + (mid_attn): Residual( + (fn): PreNorm( + (fn): Attention( + (to_qkv): Conv2d(128, 384, kernel_size=(1, 1), stride=(1, 1), bias=False) + (to_out): Conv2d(128, 128, kernel_size=(1, 1), stride=(1, 1)) + ) + (norm): LayerNorm() + ) + ) + (mid_block2): ResnetBlock( + (mlp): Sequential( + (0): SiLU() + (1): Linear(in_features=512, out_features=256, bias=True) + ) + (block1): Block( + (proj): WeightStandardizedConv2d(128, 128, kernel_size=(3, 3), stride=(1, 1), padding=(1, 1)) + (norm): GroupNorm(8, 128, eps=1e-05, affine=True) + (act): SiLU() + ) + (block2): Block( + (proj): WeightStandardizedConv2d(128, 128, kernel_size=(3, 3), stride=(1, 1), padding=(1, 1)) + (norm): GroupNorm(8, 128, eps=1e-05, affine=True) + (act): SiLU() + ) + (res_conv): Identity() + ) + (final_res_block): ResnetBlock( + (mlp): Sequential( + (0): SiLU() + (1): Linear(in_features=512, out_features=256, bias=True) + ) + (block1): Block( + (proj): WeightStandardizedConv2d(256, 128, kernel_size=(3, 3), stride=(1, 1), padding=(1, 1)) + (norm): GroupNorm(8, 128, eps=1e-05, affine=True) + (act): SiLU() + ) + (block2): Block( + (proj): WeightStandardizedConv2d(128, 128, kernel_size=(3, 3), stride=(1, 1), padding=(1, 1)) + (norm): GroupNorm(8, 128, eps=1e-05, affine=True) + (act): SiLU() + ) + (res_conv): Conv2d(256, 128, kernel_size=(1, 1), stride=(1, 1)) + ) + (final_conv): Conv2d(128, 256, kernel_size=(1, 1), stride=(1, 1)) + ) + (conv_seg_new): Conv2d(256, 151, kernel_size=(1, 1), stride=(1, 1)) + (embed): Embedding(152, 16) + ) + init_cfg={'type': 'Pretrained', 'checkpoint': 'work_dirs2/ablation_segformer_mit_b2_segformer_head_unet_fc_single_step_ade_pretrained_freeze_embed_80k_ade20k151_mask/latest.pth'} +) +2023-03-04 21:50:28,055 - mmseg - INFO - Loaded 20210 images +2023-03-04 21:50:32,675 - mmseg - INFO - Loaded 2000 images +2023-03-04 21:50:32,681 - mmseg - INFO - Start running, host: laizeqiang@SH-IDC1-10-140-37-152, work_dir: /mnt/petrelfs/laizeqiang/mmseg-baseline/work_dirs2/ablation_segformer_mit_b2_segformer_head_unet_fc_small_multi_step_ade_pretrained_freeze_embed_160k_ade20k151_mask_finetune_maskonly +2023-03-04 21:50:32,681 - mmseg - INFO - Hooks will be executed in the following order: +before_run: +(VERY_HIGH ) StepLrUpdaterHook +(49 ) ConstantMomentumEMAHook +(NORMAL ) CheckpointHook +(LOW ) DistEvalHookMultiSteps +(VERY_LOW ) TextLoggerHook + -------------------- +before_train_epoch: +(VERY_HIGH ) StepLrUpdaterHook +(LOW ) IterTimerHook +(LOW ) DistEvalHookMultiSteps +(VERY_LOW ) TextLoggerHook + -------------------- +before_train_iter: +(VERY_HIGH ) StepLrUpdaterHook +(49 ) ConstantMomentumEMAHook +(LOW ) IterTimerHook +(LOW ) DistEvalHookMultiSteps + -------------------- +after_train_iter: +(ABOVE_NORMAL) OptimizerHook +(49 ) ConstantMomentumEMAHook +(NORMAL ) CheckpointHook +(LOW ) IterTimerHook +(LOW ) DistEvalHookMultiSteps +(VERY_LOW ) TextLoggerHook + -------------------- +after_train_epoch: +(NORMAL ) CheckpointHook +(LOW ) DistEvalHookMultiSteps +(VERY_LOW ) TextLoggerHook + -------------------- +before_val_epoch: +(LOW ) IterTimerHook +(VERY_LOW ) TextLoggerHook + -------------------- +before_val_iter: +(LOW ) IterTimerHook + -------------------- +after_val_iter: +(LOW ) IterTimerHook + -------------------- +after_val_epoch: +(VERY_LOW ) TextLoggerHook + -------------------- +after_run: +(VERY_LOW ) TextLoggerHook + -------------------- +2023-03-04 21:50:32,682 - mmseg - INFO - workflow: [('train', 1)], max: 160000 iters +2023-03-04 21:50:32,724 - mmseg - INFO - Checkpoints will be saved to /mnt/petrelfs/laizeqiang/mmseg-baseline/work_dirs2/ablation_segformer_mit_b2_segformer_head_unet_fc_small_multi_step_ade_pretrained_freeze_embed_160k_ade20k151_mask_finetune_maskonly by HardDiskBackend. +2023-03-04 21:50:56,504 - mmseg - INFO - Swap parameters (before train) before iter [1] +2023-03-04 21:51:12,870 - mmseg - INFO - Iter [50/160000] lr: 7.350e-06, eta: 14:55:16, time: 0.336, data_time: 0.016, memory: 19921, decode.loss_ce: 0.2195, decode.acc_seg: 91.3197, loss: 0.2195 +2023-03-04 21:51:22,872 - mmseg - INFO - Iter [100/160000] lr: 1.485e-05, eta: 11:54:04, time: 0.200, data_time: 0.006, memory: 19921, decode.loss_ce: 0.1995, decode.acc_seg: 91.8751, loss: 0.1995 +2023-03-04 21:51:32,767 - mmseg - INFO - Iter [150/160000] lr: 2.235e-05, eta: 10:51:38, time: 0.198, data_time: 0.007, memory: 19921, decode.loss_ce: 0.2091, decode.acc_seg: 91.4553, loss: 0.2091 +2023-03-04 21:51:42,457 - mmseg - INFO - Iter [200/160000] lr: 2.985e-05, eta: 10:17:36, time: 0.194, data_time: 0.006, memory: 19921, decode.loss_ce: 0.2105, decode.acc_seg: 91.4227, loss: 0.2105 +2023-03-04 21:51:51,943 - mmseg - INFO - Iter [250/160000] lr: 3.735e-05, eta: 9:54:56, time: 0.190, data_time: 0.006, memory: 19921, decode.loss_ce: 0.1987, decode.acc_seg: 91.8050, loss: 0.1987 +2023-03-04 21:52:01,534 - mmseg - INFO - Iter [300/160000] lr: 4.485e-05, eta: 9:40:43, time: 0.192, data_time: 0.006, memory: 19921, decode.loss_ce: 0.1988, decode.acc_seg: 91.9562, loss: 0.1988 +2023-03-04 21:52:11,240 - mmseg - INFO - Iter [350/160000] lr: 5.235e-05, eta: 9:31:24, time: 0.194, data_time: 0.006, memory: 19921, decode.loss_ce: 0.2004, decode.acc_seg: 91.9113, loss: 0.2004 +2023-03-04 21:52:21,067 - mmseg - INFO - Iter [400/160000] lr: 5.985e-05, eta: 9:25:09, time: 0.197, data_time: 0.007, memory: 19921, decode.loss_ce: 0.1946, decode.acc_seg: 92.0134, loss: 0.1946 +2023-03-04 21:52:30,673 - mmseg - INFO - Iter [450/160000] lr: 6.735e-05, eta: 9:18:58, time: 0.192, data_time: 0.006, memory: 19921, decode.loss_ce: 0.2064, decode.acc_seg: 91.4543, loss: 0.2064 +2023-03-04 21:52:40,286 - mmseg - INFO - Iter [500/160000] lr: 7.485e-05, eta: 9:14:01, time: 0.192, data_time: 0.006, memory: 19921, decode.loss_ce: 0.2072, decode.acc_seg: 91.5666, loss: 0.2072 +2023-03-04 21:52:51,043 - mmseg - INFO - Iter [550/160000] lr: 8.235e-05, eta: 9:15:28, time: 0.215, data_time: 0.007, memory: 19921, decode.loss_ce: 0.2042, decode.acc_seg: 91.4613, loss: 0.2042 +2023-03-04 21:53:00,663 - mmseg - INFO - Iter [600/160000] lr: 8.985e-05, eta: 9:11:36, time: 0.192, data_time: 0.007, memory: 19921, decode.loss_ce: 0.2118, decode.acc_seg: 91.3993, loss: 0.2118 +2023-03-04 21:53:12,877 - mmseg - INFO - Iter [650/160000] lr: 9.735e-05, eta: 9:18:55, time: 0.244, data_time: 0.054, memory: 19921, decode.loss_ce: 0.2057, decode.acc_seg: 91.7070, loss: 0.2057 +2023-03-04 21:53:22,602 - mmseg - INFO - Iter [700/160000] lr: 1.049e-04, eta: 9:15:43, time: 0.195, data_time: 0.007, memory: 19921, decode.loss_ce: 0.1979, decode.acc_seg: 91.9285, loss: 0.1979 +2023-03-04 21:53:32,293 - mmseg - INFO - Iter [750/160000] lr: 1.124e-04, eta: 9:12:48, time: 0.194, data_time: 0.006, memory: 19921, decode.loss_ce: 0.2141, decode.acc_seg: 91.2956, loss: 0.2141 +2023-03-04 21:53:42,010 - mmseg - INFO - Iter [800/160000] lr: 1.199e-04, eta: 9:10:17, time: 0.194, data_time: 0.007, memory: 19921, decode.loss_ce: 0.2043, decode.acc_seg: 91.5001, loss: 0.2043 +2023-03-04 21:53:51,993 - mmseg - INFO - Iter [850/160000] lr: 1.274e-04, eta: 9:08:56, time: 0.200, data_time: 0.007, memory: 19921, decode.loss_ce: 0.2124, decode.acc_seg: 91.3173, loss: 0.2124 +2023-03-04 21:54:01,525 - mmseg - INFO - Iter [900/160000] lr: 1.349e-04, eta: 9:06:21, time: 0.191, data_time: 0.006, memory: 19921, decode.loss_ce: 0.2081, decode.acc_seg: 91.4890, loss: 0.2081 +2023-03-04 21:54:11,315 - mmseg - INFO - Iter [950/160000] lr: 1.424e-04, eta: 9:04:45, time: 0.196, data_time: 0.007, memory: 19921, decode.loss_ce: 0.2112, decode.acc_seg: 91.3457, loss: 0.2112 +2023-03-04 21:54:20,977 - mmseg - INFO - Exp name: ablation_segformer_mit_b2_segformer_head_unet_fc_small_multi_step_ade_pretrained_freeze_embed_160k_ade20k151_mask_finetune_maskonly.py +2023-03-04 21:54:20,977 - mmseg - INFO - Iter [1000/160000] lr: 1.499e-04, eta: 9:02:57, time: 0.193, data_time: 0.006, memory: 19921, decode.loss_ce: 0.2124, decode.acc_seg: 91.2583, loss: 0.2124 +2023-03-04 21:54:30,432 - mmseg - INFO - Iter [1050/160000] lr: 1.500e-04, eta: 9:00:48, time: 0.189, data_time: 0.007, memory: 19921, decode.loss_ce: 0.2214, decode.acc_seg: 90.9363, loss: 0.2214 +2023-03-04 21:54:39,982 - mmseg - INFO - Iter [1100/160000] lr: 1.500e-04, eta: 8:59:02, time: 0.191, data_time: 0.006, memory: 19921, decode.loss_ce: 0.2042, decode.acc_seg: 91.6085, loss: 0.2042 +2023-03-04 21:54:49,733 - mmseg - INFO - Iter [1150/160000] lr: 1.500e-04, eta: 8:57:52, time: 0.195, data_time: 0.007, memory: 19921, decode.loss_ce: 0.2258, decode.acc_seg: 90.7561, loss: 0.2258 +2023-03-04 21:54:59,729 - mmseg - INFO - Iter [1200/160000] lr: 1.500e-04, eta: 8:57:22, time: 0.200, data_time: 0.008, memory: 19921, decode.loss_ce: 0.2191, decode.acc_seg: 90.9567, loss: 0.2191 +2023-03-04 21:55:09,444 - mmseg - INFO - Iter [1250/160000] lr: 1.500e-04, eta: 8:56:16, time: 0.194, data_time: 0.007, memory: 19921, decode.loss_ce: 0.2235, decode.acc_seg: 91.0398, loss: 0.2235 +2023-03-04 21:55:21,510 - mmseg - INFO - Iter [1300/160000] lr: 1.500e-04, eta: 9:00:02, time: 0.241, data_time: 0.052, memory: 19921, decode.loss_ce: 0.2151, decode.acc_seg: 91.3594, loss: 0.2151 +2023-03-04 21:55:31,093 - mmseg - INFO - Iter [1350/160000] lr: 1.500e-04, eta: 8:58:38, time: 0.192, data_time: 0.006, memory: 19921, decode.loss_ce: 0.2111, decode.acc_seg: 91.3956, loss: 0.2111 +2023-03-04 21:55:40,801 - mmseg - INFO - Iter [1400/160000] lr: 1.500e-04, eta: 8:57:34, time: 0.194, data_time: 0.007, memory: 19921, decode.loss_ce: 0.2170, decode.acc_seg: 91.0442, loss: 0.2170 +2023-03-04 21:55:50,257 - mmseg - INFO - Iter [1450/160000] lr: 1.500e-04, eta: 8:56:06, time: 0.189, data_time: 0.007, memory: 19921, decode.loss_ce: 0.2233, decode.acc_seg: 90.8789, loss: 0.2233 +2023-03-04 21:55:59,801 - mmseg - INFO - Iter [1500/160000] lr: 1.500e-04, eta: 8:54:52, time: 0.191, data_time: 0.006, memory: 19921, decode.loss_ce: 0.2105, decode.acc_seg: 91.3678, loss: 0.2105 +2023-03-04 21:56:09,462 - mmseg - INFO - Iter [1550/160000] lr: 1.500e-04, eta: 8:53:54, time: 0.193, data_time: 0.007, memory: 19921, decode.loss_ce: 0.2144, decode.acc_seg: 91.3507, loss: 0.2144 +2023-03-04 21:56:18,999 - mmseg - INFO - Iter [1600/160000] lr: 1.500e-04, eta: 8:52:46, time: 0.190, data_time: 0.007, memory: 19921, decode.loss_ce: 0.2135, decode.acc_seg: 91.3176, loss: 0.2135 +2023-03-04 21:56:28,646 - mmseg - INFO - Iter [1650/160000] lr: 1.500e-04, eta: 8:51:55, time: 0.193, data_time: 0.007, memory: 19921, decode.loss_ce: 0.2221, decode.acc_seg: 90.8610, loss: 0.2221 +2023-03-04 21:56:38,233 - mmseg - INFO - Iter [1700/160000] lr: 1.500e-04, eta: 8:50:58, time: 0.191, data_time: 0.006, memory: 19921, decode.loss_ce: 0.2148, decode.acc_seg: 91.0816, loss: 0.2148 +2023-03-04 21:56:48,093 - mmseg - INFO - Iter [1750/160000] lr: 1.500e-04, eta: 8:50:31, time: 0.197, data_time: 0.007, memory: 19921, decode.loss_ce: 0.2208, decode.acc_seg: 90.9590, loss: 0.2208 +2023-03-04 21:56:57,804 - mmseg - INFO - Iter [1800/160000] lr: 1.500e-04, eta: 8:49:50, time: 0.194, data_time: 0.006, memory: 19921, decode.loss_ce: 0.2150, decode.acc_seg: 91.3496, loss: 0.2150 +2023-03-04 21:57:07,478 - mmseg - INFO - Iter [1850/160000] lr: 1.500e-04, eta: 8:49:08, time: 0.193, data_time: 0.007, memory: 19921, decode.loss_ce: 0.2156, decode.acc_seg: 91.1841, loss: 0.2156 +2023-03-04 21:57:19,556 - mmseg - INFO - Iter [1900/160000] lr: 1.500e-04, eta: 8:51:48, time: 0.242, data_time: 0.054, memory: 19921, decode.loss_ce: 0.2187, decode.acc_seg: 91.0058, loss: 0.2187 +2023-03-04 21:57:29,184 - mmseg - INFO - Iter [1950/160000] lr: 1.500e-04, eta: 8:50:59, time: 0.192, data_time: 0.007, memory: 19921, decode.loss_ce: 0.2127, decode.acc_seg: 91.1690, loss: 0.2127 +2023-03-04 21:57:38,824 - mmseg - INFO - Exp name: ablation_segformer_mit_b2_segformer_head_unet_fc_small_multi_step_ade_pretrained_freeze_embed_160k_ade20k151_mask_finetune_maskonly.py +2023-03-04 21:57:38,824 - mmseg - INFO - Iter [2000/160000] lr: 1.500e-04, eta: 8:50:15, time: 0.193, data_time: 0.007, memory: 19921, decode.loss_ce: 0.2223, decode.acc_seg: 91.1298, loss: 0.2223 +2023-03-04 21:57:48,422 - mmseg - INFO - Iter [2050/160000] lr: 1.500e-04, eta: 8:49:29, time: 0.192, data_time: 0.007, memory: 19921, decode.loss_ce: 0.2231, decode.acc_seg: 90.9556, loss: 0.2231 +2023-03-04 21:57:58,115 - mmseg - INFO - Iter [2100/160000] lr: 1.500e-04, eta: 8:48:52, time: 0.194, data_time: 0.007, memory: 19921, decode.loss_ce: 0.2218, decode.acc_seg: 90.9297, loss: 0.2218 +2023-03-04 21:58:07,613 - mmseg - INFO - Iter [2150/160000] lr: 1.500e-04, eta: 8:48:01, time: 0.190, data_time: 0.006, memory: 19921, decode.loss_ce: 0.2162, decode.acc_seg: 91.1311, loss: 0.2162 +2023-03-04 21:58:17,307 - mmseg - INFO - Iter [2200/160000] lr: 1.500e-04, eta: 8:47:27, time: 0.194, data_time: 0.007, memory: 19921, decode.loss_ce: 0.2231, decode.acc_seg: 90.9474, loss: 0.2231 +2023-03-04 21:58:27,067 - mmseg - INFO - Iter [2250/160000] lr: 1.500e-04, eta: 8:46:58, time: 0.195, data_time: 0.007, memory: 19921, decode.loss_ce: 0.2127, decode.acc_seg: 91.4081, loss: 0.2127 +2023-03-04 21:58:36,903 - mmseg - INFO - Iter [2300/160000] lr: 1.500e-04, eta: 8:46:35, time: 0.197, data_time: 0.006, memory: 19921, decode.loss_ce: 0.2116, decode.acc_seg: 91.4243, loss: 0.2116 +2023-03-04 21:58:46,873 - mmseg - INFO - Iter [2350/160000] lr: 1.500e-04, eta: 8:46:22, time: 0.199, data_time: 0.007, memory: 19921, decode.loss_ce: 0.2188, decode.acc_seg: 91.0818, loss: 0.2188 +2023-03-04 21:58:56,752 - mmseg - INFO - Iter [2400/160000] lr: 1.500e-04, eta: 8:46:02, time: 0.197, data_time: 0.006, memory: 19921, decode.loss_ce: 0.2217, decode.acc_seg: 90.9297, loss: 0.2217 +2023-03-04 21:59:06,404 - mmseg - INFO - Iter [2450/160000] lr: 1.500e-04, eta: 8:45:30, time: 0.193, data_time: 0.007, memory: 19921, decode.loss_ce: 0.2231, decode.acc_seg: 90.8569, loss: 0.2231 +2023-03-04 21:59:15,862 - mmseg - INFO - Iter [2500/160000] lr: 1.500e-04, eta: 8:44:44, time: 0.189, data_time: 0.007, memory: 19921, decode.loss_ce: 0.2165, decode.acc_seg: 91.0385, loss: 0.2165 +2023-03-04 21:59:28,058 - mmseg - INFO - Iter [2550/160000] lr: 1.500e-04, eta: 8:46:51, time: 0.244, data_time: 0.055, memory: 19921, decode.loss_ce: 0.2186, decode.acc_seg: 91.0742, loss: 0.2186 +2023-03-04 21:59:37,603 - mmseg - INFO - Iter [2600/160000] lr: 1.500e-04, eta: 8:46:11, time: 0.191, data_time: 0.007, memory: 19921, decode.loss_ce: 0.2197, decode.acc_seg: 91.0476, loss: 0.2197 +2023-03-04 21:59:47,045 - mmseg - INFO - Iter [2650/160000] lr: 1.500e-04, eta: 8:45:26, time: 0.189, data_time: 0.007, memory: 19921, decode.loss_ce: 0.2144, decode.acc_seg: 91.2163, loss: 0.2144 +2023-03-04 21:59:56,598 - mmseg - INFO - Iter [2700/160000] lr: 1.500e-04, eta: 8:44:48, time: 0.191, data_time: 0.007, memory: 19921, decode.loss_ce: 0.2275, decode.acc_seg: 90.8629, loss: 0.2275 +2023-03-04 22:00:06,352 - mmseg - INFO - Iter [2750/160000] lr: 1.500e-04, eta: 8:44:24, time: 0.195, data_time: 0.007, memory: 19921, decode.loss_ce: 0.2108, decode.acc_seg: 91.3189, loss: 0.2108 +2023-03-04 22:00:16,083 - mmseg - INFO - Iter [2800/160000] lr: 1.500e-04, eta: 8:43:59, time: 0.195, data_time: 0.006, memory: 19921, decode.loss_ce: 0.2211, decode.acc_seg: 90.9448, loss: 0.2211 +2023-03-04 22:00:25,644 - mmseg - INFO - Iter [2850/160000] lr: 1.500e-04, eta: 8:43:25, time: 0.191, data_time: 0.007, memory: 19921, decode.loss_ce: 0.2102, decode.acc_seg: 91.3986, loss: 0.2102 +2023-03-04 22:00:35,275 - mmseg - INFO - Iter [2900/160000] lr: 1.500e-04, eta: 8:42:55, time: 0.193, data_time: 0.007, memory: 19921, decode.loss_ce: 0.2124, decode.acc_seg: 91.2228, loss: 0.2124 +2023-03-04 22:00:44,954 - mmseg - INFO - Iter [2950/160000] lr: 1.500e-04, eta: 8:42:29, time: 0.194, data_time: 0.007, memory: 19921, decode.loss_ce: 0.2178, decode.acc_seg: 91.2142, loss: 0.2178 +2023-03-04 22:00:54,565 - mmseg - INFO - Exp name: ablation_segformer_mit_b2_segformer_head_unet_fc_small_multi_step_ade_pretrained_freeze_embed_160k_ade20k151_mask_finetune_maskonly.py +2023-03-04 22:00:54,566 - mmseg - INFO - Iter [3000/160000] lr: 1.500e-04, eta: 8:41:59, time: 0.192, data_time: 0.007, memory: 19921, decode.loss_ce: 0.2205, decode.acc_seg: 91.0574, loss: 0.2205 +2023-03-04 22:01:04,079 - mmseg - INFO - Iter [3050/160000] lr: 1.500e-04, eta: 8:41:26, time: 0.190, data_time: 0.007, memory: 19921, decode.loss_ce: 0.2175, decode.acc_seg: 91.2626, loss: 0.2175 +2023-03-04 22:01:13,582 - mmseg - INFO - Iter [3100/160000] lr: 1.500e-04, eta: 8:40:52, time: 0.190, data_time: 0.006, memory: 19921, decode.loss_ce: 0.2095, decode.acc_seg: 91.3614, loss: 0.2095 +2023-03-04 22:01:23,162 - mmseg - INFO - Iter [3150/160000] lr: 1.500e-04, eta: 8:40:23, time: 0.192, data_time: 0.007, memory: 19921, decode.loss_ce: 0.2147, decode.acc_seg: 91.3058, loss: 0.2147 +2023-03-04 22:01:35,349 - mmseg - INFO - Iter [3200/160000] lr: 1.500e-04, eta: 8:42:03, time: 0.244, data_time: 0.055, memory: 19921, decode.loss_ce: 0.2123, decode.acc_seg: 91.2891, loss: 0.2123 +2023-03-04 22:01:45,063 - mmseg - INFO - Iter [3250/160000] lr: 1.500e-04, eta: 8:41:39, time: 0.194, data_time: 0.007, memory: 19921, decode.loss_ce: 0.2112, decode.acc_seg: 91.4194, loss: 0.2112 +2023-03-04 22:01:54,660 - mmseg - INFO - Iter [3300/160000] lr: 1.500e-04, eta: 8:41:11, time: 0.192, data_time: 0.007, memory: 19921, decode.loss_ce: 0.2201, decode.acc_seg: 90.9583, loss: 0.2201 +2023-03-04 22:02:04,335 - mmseg - INFO - Iter [3350/160000] lr: 1.500e-04, eta: 8:40:47, time: 0.193, data_time: 0.007, memory: 19921, decode.loss_ce: 0.2160, decode.acc_seg: 91.1883, loss: 0.2160 +2023-03-04 22:02:14,304 - mmseg - INFO - Iter [3400/160000] lr: 1.500e-04, eta: 8:40:37, time: 0.200, data_time: 0.007, memory: 19921, decode.loss_ce: 0.2127, decode.acc_seg: 91.2626, loss: 0.2127 +2023-03-04 22:02:23,966 - mmseg - INFO - Iter [3450/160000] lr: 1.500e-04, eta: 8:40:13, time: 0.193, data_time: 0.007, memory: 19921, decode.loss_ce: 0.2144, decode.acc_seg: 91.2166, loss: 0.2144 +2023-03-04 22:02:33,566 - mmseg - INFO - Iter [3500/160000] lr: 1.500e-04, eta: 8:39:46, time: 0.192, data_time: 0.007, memory: 19921, decode.loss_ce: 0.2149, decode.acc_seg: 91.0889, loss: 0.2149 +2023-03-04 22:02:42,986 - mmseg - INFO - Iter [3550/160000] lr: 1.500e-04, eta: 8:39:12, time: 0.188, data_time: 0.006, memory: 19921, decode.loss_ce: 0.2089, decode.acc_seg: 91.3913, loss: 0.2089 +2023-03-04 22:02:52,523 - mmseg - INFO - Iter [3600/160000] lr: 1.500e-04, eta: 8:38:44, time: 0.191, data_time: 0.006, memory: 19921, decode.loss_ce: 0.2163, decode.acc_seg: 91.1900, loss: 0.2163 +2023-03-04 22:03:01,998 - mmseg - INFO - Iter [3650/160000] lr: 1.500e-04, eta: 8:38:14, time: 0.190, data_time: 0.007, memory: 19921, decode.loss_ce: 0.2242, decode.acc_seg: 91.1275, loss: 0.2242 +2023-03-04 22:03:11,713 - mmseg - INFO - Iter [3700/160000] lr: 1.500e-04, eta: 8:37:54, time: 0.194, data_time: 0.007, memory: 19921, decode.loss_ce: 0.2189, decode.acc_seg: 91.1894, loss: 0.2189 +2023-03-04 22:03:21,439 - mmseg - INFO - Iter [3750/160000] lr: 1.500e-04, eta: 8:37:35, time: 0.195, data_time: 0.007, memory: 19921, decode.loss_ce: 0.2156, decode.acc_seg: 91.1113, loss: 0.2156 +2023-03-04 22:03:33,608 - mmseg - INFO - Iter [3800/160000] lr: 1.500e-04, eta: 8:38:57, time: 0.243, data_time: 0.053, memory: 19921, decode.loss_ce: 0.2195, decode.acc_seg: 90.8799, loss: 0.2195 +2023-03-04 22:03:43,394 - mmseg - INFO - Iter [3850/160000] lr: 1.500e-04, eta: 8:38:40, time: 0.196, data_time: 0.007, memory: 19921, decode.loss_ce: 0.2124, decode.acc_seg: 91.3420, loss: 0.2124 +2023-03-04 22:03:53,085 - mmseg - INFO - Iter [3900/160000] lr: 1.500e-04, eta: 8:38:19, time: 0.194, data_time: 0.007, memory: 19921, decode.loss_ce: 0.2169, decode.acc_seg: 91.3104, loss: 0.2169 +2023-03-04 22:04:02,924 - mmseg - INFO - Iter [3950/160000] lr: 1.500e-04, eta: 8:38:04, time: 0.197, data_time: 0.006, memory: 19921, decode.loss_ce: 0.2164, decode.acc_seg: 91.2741, loss: 0.2164 +2023-03-04 22:04:12,794 - mmseg - INFO - Exp name: ablation_segformer_mit_b2_segformer_head_unet_fc_small_multi_step_ade_pretrained_freeze_embed_160k_ade20k151_mask_finetune_maskonly.py +2023-03-04 22:04:12,794 - mmseg - INFO - Iter [4000/160000] lr: 1.500e-04, eta: 8:37:50, time: 0.197, data_time: 0.007, memory: 19921, decode.loss_ce: 0.2167, decode.acc_seg: 91.1141, loss: 0.2167 +2023-03-04 22:04:22,668 - mmseg - INFO - Iter [4050/160000] lr: 1.500e-04, eta: 8:37:37, time: 0.198, data_time: 0.007, memory: 19921, decode.loss_ce: 0.2196, decode.acc_seg: 91.1200, loss: 0.2196 +2023-03-04 22:04:32,172 - mmseg - INFO - Iter [4100/160000] lr: 1.500e-04, eta: 8:37:10, time: 0.190, data_time: 0.006, memory: 19921, decode.loss_ce: 0.2117, decode.acc_seg: 91.3170, loss: 0.2117 +2023-03-04 22:04:41,618 - mmseg - INFO - Iter [4150/160000] lr: 1.500e-04, eta: 8:36:41, time: 0.189, data_time: 0.006, memory: 19921, decode.loss_ce: 0.2189, decode.acc_seg: 90.9770, loss: 0.2189 +2023-03-04 22:04:51,265 - mmseg - INFO - Iter [4200/160000] lr: 1.500e-04, eta: 8:36:20, time: 0.193, data_time: 0.007, memory: 19921, decode.loss_ce: 0.2220, decode.acc_seg: 90.8973, loss: 0.2220 +2023-03-04 22:05:00,822 - mmseg - INFO - Iter [4250/160000] lr: 1.500e-04, eta: 8:35:56, time: 0.191, data_time: 0.007, memory: 19921, decode.loss_ce: 0.2155, decode.acc_seg: 91.2629, loss: 0.2155 +2023-03-04 22:05:10,485 - mmseg - INFO - Iter [4300/160000] lr: 1.500e-04, eta: 8:35:36, time: 0.193, data_time: 0.007, memory: 19921, decode.loss_ce: 0.2212, decode.acc_seg: 91.1749, loss: 0.2212 +2023-03-04 22:05:20,294 - mmseg - INFO - Iter [4350/160000] lr: 1.500e-04, eta: 8:35:22, time: 0.196, data_time: 0.007, memory: 19921, decode.loss_ce: 0.2203, decode.acc_seg: 91.0430, loss: 0.2203 +2023-03-04 22:05:29,973 - mmseg - INFO - Iter [4400/160000] lr: 1.500e-04, eta: 8:35:03, time: 0.194, data_time: 0.006, memory: 19921, decode.loss_ce: 0.2148, decode.acc_seg: 91.2568, loss: 0.2148 +2023-03-04 22:05:42,027 - mmseg - INFO - Iter [4450/160000] lr: 1.500e-04, eta: 8:36:07, time: 0.241, data_time: 0.056, memory: 19921, decode.loss_ce: 0.2113, decode.acc_seg: 91.3670, loss: 0.2113 +2023-03-04 22:05:51,534 - mmseg - INFO - Iter [4500/160000] lr: 1.500e-04, eta: 8:35:42, time: 0.190, data_time: 0.006, memory: 19921, decode.loss_ce: 0.2174, decode.acc_seg: 91.1725, loss: 0.2174 +2023-03-04 22:06:01,277 - mmseg - INFO - Iter [4550/160000] lr: 1.500e-04, eta: 8:35:25, time: 0.195, data_time: 0.006, memory: 19921, decode.loss_ce: 0.2081, decode.acc_seg: 91.5057, loss: 0.2081 +2023-03-04 22:06:11,095 - mmseg - INFO - Iter [4600/160000] lr: 1.500e-04, eta: 8:35:10, time: 0.196, data_time: 0.006, memory: 19921, decode.loss_ce: 0.2184, decode.acc_seg: 91.1456, loss: 0.2184 +2023-03-04 22:06:20,550 - mmseg - INFO - Iter [4650/160000] lr: 1.500e-04, eta: 8:34:44, time: 0.189, data_time: 0.006, memory: 19921, decode.loss_ce: 0.2192, decode.acc_seg: 91.0684, loss: 0.2192 +2023-03-04 22:06:30,097 - mmseg - INFO - Iter [4700/160000] lr: 1.500e-04, eta: 8:34:21, time: 0.191, data_time: 0.007, memory: 19921, decode.loss_ce: 0.2086, decode.acc_seg: 91.3611, loss: 0.2086 +2023-03-04 22:06:39,691 - mmseg - INFO - Iter [4750/160000] lr: 1.500e-04, eta: 8:34:00, time: 0.192, data_time: 0.007, memory: 19921, decode.loss_ce: 0.2126, decode.acc_seg: 91.1082, loss: 0.2126 +2023-03-04 22:06:49,421 - mmseg - INFO - Iter [4800/160000] lr: 1.500e-04, eta: 8:33:43, time: 0.195, data_time: 0.007, memory: 19921, decode.loss_ce: 0.2141, decode.acc_seg: 91.2615, loss: 0.2141 +2023-03-04 22:06:59,149 - mmseg - INFO - Iter [4850/160000] lr: 1.500e-04, eta: 8:33:27, time: 0.195, data_time: 0.006, memory: 19921, decode.loss_ce: 0.2274, decode.acc_seg: 90.9084, loss: 0.2274 +2023-03-04 22:07:08,776 - mmseg - INFO - Iter [4900/160000] lr: 1.500e-04, eta: 8:33:07, time: 0.193, data_time: 0.006, memory: 19921, decode.loss_ce: 0.2135, decode.acc_seg: 91.1835, loss: 0.2135 +2023-03-04 22:07:18,460 - mmseg - INFO - Iter [4950/160000] lr: 1.500e-04, eta: 8:32:50, time: 0.194, data_time: 0.007, memory: 19921, decode.loss_ce: 0.2126, decode.acc_seg: 91.4088, loss: 0.2126 +2023-03-04 22:07:27,982 - mmseg - INFO - Exp name: ablation_segformer_mit_b2_segformer_head_unet_fc_small_multi_step_ade_pretrained_freeze_embed_160k_ade20k151_mask_finetune_maskonly.py +2023-03-04 22:07:27,983 - mmseg - INFO - Iter [5000/160000] lr: 1.500e-04, eta: 8:32:28, time: 0.190, data_time: 0.007, memory: 19921, decode.loss_ce: 0.2159, decode.acc_seg: 91.2423, loss: 0.2159 +2023-03-04 22:07:40,002 - mmseg - INFO - Iter [5050/160000] lr: 1.500e-04, eta: 8:33:22, time: 0.240, data_time: 0.056, memory: 19921, decode.loss_ce: 0.2135, decode.acc_seg: 91.2246, loss: 0.2135 +2023-03-04 22:07:49,653 - mmseg - INFO - Iter [5100/160000] lr: 1.500e-04, eta: 8:33:03, time: 0.193, data_time: 0.006, memory: 19921, decode.loss_ce: 0.2220, decode.acc_seg: 90.9755, loss: 0.2220 +2023-03-04 22:07:59,211 - mmseg - INFO - Iter [5150/160000] lr: 1.500e-04, eta: 8:32:42, time: 0.191, data_time: 0.007, memory: 19921, decode.loss_ce: 0.2161, decode.acc_seg: 91.1545, loss: 0.2161 +2023-03-04 22:08:08,637 - mmseg - INFO - Iter [5200/160000] lr: 1.500e-04, eta: 8:32:17, time: 0.189, data_time: 0.007, memory: 19921, decode.loss_ce: 0.2220, decode.acc_seg: 91.0162, loss: 0.2220 +2023-03-04 22:08:18,509 - mmseg - INFO - Iter [5250/160000] lr: 1.500e-04, eta: 8:32:06, time: 0.197, data_time: 0.007, memory: 19921, decode.loss_ce: 0.2124, decode.acc_seg: 91.3938, loss: 0.2124 +2023-03-04 22:08:28,126 - mmseg - INFO - Iter [5300/160000] lr: 1.500e-04, eta: 8:31:46, time: 0.192, data_time: 0.006, memory: 19921, decode.loss_ce: 0.2139, decode.acc_seg: 91.2990, loss: 0.2139 +2023-03-04 22:08:37,773 - mmseg - INFO - Iter [5350/160000] lr: 1.500e-04, eta: 8:31:29, time: 0.193, data_time: 0.007, memory: 19921, decode.loss_ce: 0.2177, decode.acc_seg: 91.1528, loss: 0.2177 +2023-03-04 22:08:47,286 - mmseg - INFO - Iter [5400/160000] lr: 1.500e-04, eta: 8:31:07, time: 0.190, data_time: 0.006, memory: 19921, decode.loss_ce: 0.2118, decode.acc_seg: 91.2616, loss: 0.2118 +2023-03-04 22:08:57,171 - mmseg - INFO - Iter [5450/160000] lr: 1.500e-04, eta: 8:30:56, time: 0.198, data_time: 0.007, memory: 19921, decode.loss_ce: 0.2144, decode.acc_seg: 91.2013, loss: 0.2144 +2023-03-04 22:09:06,899 - mmseg - INFO - Iter [5500/160000] lr: 1.500e-04, eta: 8:30:41, time: 0.195, data_time: 0.007, memory: 19921, decode.loss_ce: 0.2109, decode.acc_seg: 91.3632, loss: 0.2109 +2023-03-04 22:09:16,345 - mmseg - INFO - Iter [5550/160000] lr: 1.500e-04, eta: 8:30:18, time: 0.189, data_time: 0.007, memory: 19921, decode.loss_ce: 0.2223, decode.acc_seg: 90.9599, loss: 0.2223 +2023-03-04 22:09:25,768 - mmseg - INFO - Iter [5600/160000] lr: 1.500e-04, eta: 8:29:54, time: 0.188, data_time: 0.007, memory: 19921, decode.loss_ce: 0.2105, decode.acc_seg: 91.4836, loss: 0.2105 +2023-03-04 22:09:35,317 - mmseg - INFO - Iter [5650/160000] lr: 1.500e-04, eta: 8:29:35, time: 0.191, data_time: 0.007, memory: 19921, decode.loss_ce: 0.2092, decode.acc_seg: 91.4393, loss: 0.2092 +2023-03-04 22:09:47,388 - mmseg - INFO - Iter [5700/160000] lr: 1.500e-04, eta: 8:30:23, time: 0.241, data_time: 0.053, memory: 19921, decode.loss_ce: 0.2126, decode.acc_seg: 91.2814, loss: 0.2126 +2023-03-04 22:09:56,928 - mmseg - INFO - Iter [5750/160000] lr: 1.500e-04, eta: 8:30:03, time: 0.191, data_time: 0.007, memory: 19921, decode.loss_ce: 0.2153, decode.acc_seg: 91.1510, loss: 0.2153 +2023-03-04 22:10:06,572 - mmseg - INFO - Iter [5800/160000] lr: 1.500e-04, eta: 8:29:46, time: 0.193, data_time: 0.007, memory: 19921, decode.loss_ce: 0.2059, decode.acc_seg: 91.5219, loss: 0.2059 +2023-03-04 22:10:16,106 - mmseg - INFO - Iter [5850/160000] lr: 1.500e-04, eta: 8:29:26, time: 0.191, data_time: 0.007, memory: 19921, decode.loss_ce: 0.2130, decode.acc_seg: 91.3764, loss: 0.2130 +2023-03-04 22:10:25,643 - mmseg - INFO - Iter [5900/160000] lr: 1.500e-04, eta: 8:29:06, time: 0.191, data_time: 0.007, memory: 19921, decode.loss_ce: 0.2166, decode.acc_seg: 91.0632, loss: 0.2166 +2023-03-04 22:10:35,101 - mmseg - INFO - Iter [5950/160000] lr: 1.500e-04, eta: 8:28:44, time: 0.189, data_time: 0.007, memory: 19921, decode.loss_ce: 0.2119, decode.acc_seg: 91.4362, loss: 0.2119 +2023-03-04 22:10:44,840 - mmseg - INFO - Exp name: ablation_segformer_mit_b2_segformer_head_unet_fc_small_multi_step_ade_pretrained_freeze_embed_160k_ade20k151_mask_finetune_maskonly.py +2023-03-04 22:10:44,840 - mmseg - INFO - Iter [6000/160000] lr: 1.500e-04, eta: 8:28:30, time: 0.195, data_time: 0.007, memory: 19921, decode.loss_ce: 0.2074, decode.acc_seg: 91.5040, loss: 0.2074 +2023-03-04 22:10:54,342 - mmseg - INFO - Iter [6050/160000] lr: 1.500e-04, eta: 8:28:10, time: 0.190, data_time: 0.007, memory: 19921, decode.loss_ce: 0.2260, decode.acc_seg: 90.7616, loss: 0.2260 +2023-03-04 22:11:03,849 - mmseg - INFO - Iter [6100/160000] lr: 1.500e-04, eta: 8:27:50, time: 0.190, data_time: 0.007, memory: 19921, decode.loss_ce: 0.2216, decode.acc_seg: 90.9272, loss: 0.2216 +2023-03-04 22:11:13,626 - mmseg - INFO - Iter [6150/160000] lr: 1.500e-04, eta: 8:27:37, time: 0.196, data_time: 0.007, memory: 19921, decode.loss_ce: 0.2142, decode.acc_seg: 91.0930, loss: 0.2142 +2023-03-04 22:11:23,271 - mmseg - INFO - Iter [6200/160000] lr: 1.500e-04, eta: 8:27:21, time: 0.193, data_time: 0.007, memory: 19921, decode.loss_ce: 0.2087, decode.acc_seg: 91.3805, loss: 0.2087 +2023-03-04 22:11:32,767 - mmseg - INFO - Iter [6250/160000] lr: 1.500e-04, eta: 8:27:01, time: 0.190, data_time: 0.007, memory: 19921, decode.loss_ce: 0.2186, decode.acc_seg: 91.0130, loss: 0.2186 +2023-03-04 22:11:42,229 - mmseg - INFO - Iter [6300/160000] lr: 1.500e-04, eta: 8:26:41, time: 0.189, data_time: 0.007, memory: 19921, decode.loss_ce: 0.2205, decode.acc_seg: 91.0899, loss: 0.2205 +2023-03-04 22:11:54,263 - mmseg - INFO - Iter [6350/160000] lr: 1.500e-04, eta: 8:27:22, time: 0.240, data_time: 0.055, memory: 19921, decode.loss_ce: 0.2196, decode.acc_seg: 91.0130, loss: 0.2196 +2023-03-04 22:12:03,821 - mmseg - INFO - Iter [6400/160000] lr: 1.500e-04, eta: 8:27:04, time: 0.191, data_time: 0.007, memory: 19921, decode.loss_ce: 0.2169, decode.acc_seg: 90.9791, loss: 0.2169 +2023-03-04 22:12:13,335 - mmseg - INFO - Iter [6450/160000] lr: 1.500e-04, eta: 8:26:45, time: 0.190, data_time: 0.007, memory: 19921, decode.loss_ce: 0.2195, decode.acc_seg: 91.1921, loss: 0.2195 +2023-03-04 22:12:22,899 - mmseg - INFO - Iter [6500/160000] lr: 1.500e-04, eta: 8:26:27, time: 0.191, data_time: 0.006, memory: 19921, decode.loss_ce: 0.2133, decode.acc_seg: 91.1943, loss: 0.2133 +2023-03-04 22:12:32,559 - mmseg - INFO - Iter [6550/160000] lr: 1.500e-04, eta: 8:26:12, time: 0.193, data_time: 0.007, memory: 19921, decode.loss_ce: 0.2113, decode.acc_seg: 91.3344, loss: 0.2113 +2023-03-04 22:12:42,122 - mmseg - INFO - Iter [6600/160000] lr: 1.500e-04, eta: 8:25:54, time: 0.191, data_time: 0.007, memory: 19921, decode.loss_ce: 0.2150, decode.acc_seg: 91.2589, loss: 0.2150 +2023-03-04 22:12:51,596 - mmseg - INFO - Iter [6650/160000] lr: 1.500e-04, eta: 8:25:35, time: 0.189, data_time: 0.007, memory: 19921, decode.loss_ce: 0.2158, decode.acc_seg: 91.1727, loss: 0.2158 +2023-03-04 22:13:01,343 - mmseg - INFO - Iter [6700/160000] lr: 1.500e-04, eta: 8:25:21, time: 0.195, data_time: 0.007, memory: 19921, decode.loss_ce: 0.2199, decode.acc_seg: 91.2373, loss: 0.2199 +2023-03-04 22:13:11,148 - mmseg - INFO - Iter [6750/160000] lr: 1.500e-04, eta: 8:25:10, time: 0.196, data_time: 0.007, memory: 19921, decode.loss_ce: 0.2176, decode.acc_seg: 91.3169, loss: 0.2176 +2023-03-04 22:13:20,982 - mmseg - INFO - Iter [6800/160000] lr: 1.500e-04, eta: 8:24:59, time: 0.197, data_time: 0.007, memory: 19921, decode.loss_ce: 0.2131, decode.acc_seg: 91.2521, loss: 0.2131 +2023-03-04 22:13:30,611 - mmseg - INFO - Iter [6850/160000] lr: 1.500e-04, eta: 8:24:43, time: 0.193, data_time: 0.007, memory: 19921, decode.loss_ce: 0.2211, decode.acc_seg: 91.0335, loss: 0.2211 +2023-03-04 22:13:40,336 - mmseg - INFO - Iter [6900/160000] lr: 1.500e-04, eta: 8:24:29, time: 0.194, data_time: 0.007, memory: 19921, decode.loss_ce: 0.2188, decode.acc_seg: 91.0291, loss: 0.2188 +2023-03-04 22:13:52,353 - mmseg - INFO - Iter [6950/160000] lr: 1.500e-04, eta: 8:25:06, time: 0.240, data_time: 0.056, memory: 19921, decode.loss_ce: 0.2167, decode.acc_seg: 91.1408, loss: 0.2167 +2023-03-04 22:14:01,931 - mmseg - INFO - Exp name: ablation_segformer_mit_b2_segformer_head_unet_fc_small_multi_step_ade_pretrained_freeze_embed_160k_ade20k151_mask_finetune_maskonly.py +2023-03-04 22:14:01,932 - mmseg - INFO - Iter [7000/160000] lr: 1.500e-04, eta: 8:24:49, time: 0.192, data_time: 0.007, memory: 19921, decode.loss_ce: 0.2133, decode.acc_seg: 91.2784, loss: 0.2133 +2023-03-04 22:14:11,533 - mmseg - INFO - Iter [7050/160000] lr: 1.500e-04, eta: 8:24:33, time: 0.192, data_time: 0.006, memory: 19921, decode.loss_ce: 0.2174, decode.acc_seg: 91.0716, loss: 0.2174 +2023-03-04 22:14:21,008 - mmseg - INFO - Iter [7100/160000] lr: 1.500e-04, eta: 8:24:14, time: 0.189, data_time: 0.007, memory: 19921, decode.loss_ce: 0.2134, decode.acc_seg: 91.2889, loss: 0.2134 +2023-03-04 22:14:30,651 - mmseg - INFO - Iter [7150/160000] lr: 1.500e-04, eta: 8:23:59, time: 0.193, data_time: 0.007, memory: 19921, decode.loss_ce: 0.2153, decode.acc_seg: 91.1774, loss: 0.2153 +2023-03-04 22:14:40,578 - mmseg - INFO - Iter [7200/160000] lr: 1.500e-04, eta: 8:23:50, time: 0.199, data_time: 0.006, memory: 19921, decode.loss_ce: 0.2204, decode.acc_seg: 91.1149, loss: 0.2204 +2023-03-04 22:14:50,168 - mmseg - INFO - Iter [7250/160000] lr: 1.500e-04, eta: 8:23:33, time: 0.192, data_time: 0.007, memory: 19921, decode.loss_ce: 0.2137, decode.acc_seg: 91.1068, loss: 0.2137 +2023-03-04 22:14:59,973 - mmseg - INFO - Iter [7300/160000] lr: 1.500e-04, eta: 8:23:22, time: 0.196, data_time: 0.007, memory: 19921, decode.loss_ce: 0.2051, decode.acc_seg: 91.6287, loss: 0.2051 +2023-03-04 22:15:09,545 - mmseg - INFO - Iter [7350/160000] lr: 1.500e-04, eta: 8:23:05, time: 0.191, data_time: 0.007, memory: 19921, decode.loss_ce: 0.2112, decode.acc_seg: 91.4805, loss: 0.2112 +2023-03-04 22:15:19,372 - mmseg - INFO - Iter [7400/160000] lr: 1.500e-04, eta: 8:22:54, time: 0.197, data_time: 0.007, memory: 19921, decode.loss_ce: 0.2114, decode.acc_seg: 91.4295, loss: 0.2114 +2023-03-04 22:15:29,043 - mmseg - INFO - Iter [7450/160000] lr: 1.500e-04, eta: 8:22:40, time: 0.193, data_time: 0.007, memory: 19921, decode.loss_ce: 0.2147, decode.acc_seg: 91.1370, loss: 0.2147 +2023-03-04 22:15:38,864 - mmseg - INFO - Iter [7500/160000] lr: 1.500e-04, eta: 8:22:29, time: 0.196, data_time: 0.007, memory: 19921, decode.loss_ce: 0.2164, decode.acc_seg: 91.1199, loss: 0.2164 +2023-03-04 22:15:48,554 - mmseg - INFO - Iter [7550/160000] lr: 1.500e-04, eta: 8:22:14, time: 0.194, data_time: 0.007, memory: 19921, decode.loss_ce: 0.2182, decode.acc_seg: 90.9901, loss: 0.2182 +2023-03-04 22:16:00,745 - mmseg - INFO - Iter [7600/160000] lr: 1.500e-04, eta: 8:22:51, time: 0.244, data_time: 0.055, memory: 19921, decode.loss_ce: 0.2197, decode.acc_seg: 91.1431, loss: 0.2197 +2023-03-04 22:16:10,228 - mmseg - INFO - Iter [7650/160000] lr: 1.500e-04, eta: 8:22:33, time: 0.190, data_time: 0.007, memory: 19921, decode.loss_ce: 0.2081, decode.acc_seg: 91.4166, loss: 0.2081 +2023-03-04 22:16:19,813 - mmseg - INFO - Iter [7700/160000] lr: 1.500e-04, eta: 8:22:17, time: 0.192, data_time: 0.006, memory: 19921, decode.loss_ce: 0.2097, decode.acc_seg: 91.3076, loss: 0.2097 +2023-03-04 22:16:29,508 - mmseg - INFO - Iter [7750/160000] lr: 1.500e-04, eta: 8:22:03, time: 0.194, data_time: 0.006, memory: 19921, decode.loss_ce: 0.2151, decode.acc_seg: 91.4045, loss: 0.2151 +2023-03-04 22:16:39,413 - mmseg - INFO - Iter [7800/160000] lr: 1.500e-04, eta: 8:21:53, time: 0.198, data_time: 0.007, memory: 19921, decode.loss_ce: 0.2157, decode.acc_seg: 91.1451, loss: 0.2157 +2023-03-04 22:16:49,224 - mmseg - INFO - Iter [7850/160000] lr: 1.500e-04, eta: 8:21:42, time: 0.196, data_time: 0.007, memory: 19921, decode.loss_ce: 0.2070, decode.acc_seg: 91.6183, loss: 0.2070 +2023-03-04 22:16:58,806 - mmseg - INFO - Iter [7900/160000] lr: 1.500e-04, eta: 8:21:26, time: 0.192, data_time: 0.007, memory: 19921, decode.loss_ce: 0.2206, decode.acc_seg: 90.9791, loss: 0.2206 +2023-03-04 22:17:08,420 - mmseg - INFO - Iter [7950/160000] lr: 1.500e-04, eta: 8:21:11, time: 0.192, data_time: 0.007, memory: 19921, decode.loss_ce: 0.2215, decode.acc_seg: 91.0812, loss: 0.2215 +2023-03-04 22:17:18,154 - mmseg - INFO - Exp name: ablation_segformer_mit_b2_segformer_head_unet_fc_small_multi_step_ade_pretrained_freeze_embed_160k_ade20k151_mask_finetune_maskonly.py +2023-03-04 22:17:18,154 - mmseg - INFO - Iter [8000/160000] lr: 1.500e-04, eta: 8:20:58, time: 0.195, data_time: 0.007, memory: 19921, decode.loss_ce: 0.2101, decode.acc_seg: 91.3541, loss: 0.2101 +2023-03-04 22:17:27,860 - mmseg - INFO - Iter [8050/160000] lr: 1.500e-04, eta: 8:20:45, time: 0.194, data_time: 0.007, memory: 19921, decode.loss_ce: 0.2129, decode.acc_seg: 91.2684, loss: 0.2129 +2023-03-04 22:17:37,334 - mmseg - INFO - Iter [8100/160000] lr: 1.500e-04, eta: 8:20:27, time: 0.189, data_time: 0.007, memory: 19921, decode.loss_ce: 0.2186, decode.acc_seg: 91.0855, loss: 0.2186 +2023-03-04 22:17:46,762 - mmseg - INFO - Iter [8150/160000] lr: 1.500e-04, eta: 8:20:09, time: 0.189, data_time: 0.007, memory: 19921, decode.loss_ce: 0.2172, decode.acc_seg: 91.0612, loss: 0.2172 +2023-03-04 22:17:56,566 - mmseg - INFO - Iter [8200/160000] lr: 1.500e-04, eta: 8:19:57, time: 0.196, data_time: 0.007, memory: 19921, decode.loss_ce: 0.2099, decode.acc_seg: 91.3587, loss: 0.2099 +2023-03-04 22:18:08,831 - mmseg - INFO - Iter [8250/160000] lr: 1.500e-04, eta: 8:20:31, time: 0.245, data_time: 0.054, memory: 19921, decode.loss_ce: 0.2137, decode.acc_seg: 91.2844, loss: 0.2137 +2023-03-04 22:18:18,315 - mmseg - INFO - Iter [8300/160000] lr: 1.500e-04, eta: 8:20:14, time: 0.190, data_time: 0.007, memory: 19921, decode.loss_ce: 0.2166, decode.acc_seg: 91.1123, loss: 0.2166 +2023-03-04 22:18:27,928 - mmseg - INFO - Iter [8350/160000] lr: 1.500e-04, eta: 8:19:59, time: 0.192, data_time: 0.007, memory: 19921, decode.loss_ce: 0.2065, decode.acc_seg: 91.4674, loss: 0.2065 +2023-03-04 22:18:37,550 - mmseg - INFO - Iter [8400/160000] lr: 1.500e-04, eta: 8:19:44, time: 0.192, data_time: 0.007, memory: 19921, decode.loss_ce: 0.2198, decode.acc_seg: 91.0840, loss: 0.2198 +2023-03-04 22:18:47,148 - mmseg - INFO - Iter [8450/160000] lr: 1.500e-04, eta: 8:19:29, time: 0.192, data_time: 0.007, memory: 19921, decode.loss_ce: 0.2095, decode.acc_seg: 91.4044, loss: 0.2095 +2023-03-04 22:18:56,697 - mmseg - INFO - Iter [8500/160000] lr: 1.500e-04, eta: 8:19:13, time: 0.191, data_time: 0.007, memory: 19921, decode.loss_ce: 0.2203, decode.acc_seg: 91.1586, loss: 0.2203 +2023-03-04 22:19:06,407 - mmseg - INFO - Iter [8550/160000] lr: 1.500e-04, eta: 8:19:00, time: 0.194, data_time: 0.007, memory: 19921, decode.loss_ce: 0.2102, decode.acc_seg: 91.2485, loss: 0.2102 +2023-03-04 22:19:15,823 - mmseg - INFO - Iter [8600/160000] lr: 1.500e-04, eta: 8:18:42, time: 0.188, data_time: 0.007, memory: 19921, decode.loss_ce: 0.2120, decode.acc_seg: 91.4673, loss: 0.2120 +2023-03-04 22:19:25,326 - mmseg - INFO - Iter [8650/160000] lr: 1.500e-04, eta: 8:18:26, time: 0.190, data_time: 0.007, memory: 19921, decode.loss_ce: 0.2099, decode.acc_seg: 91.5404, loss: 0.2099 +2023-03-04 22:19:34,866 - mmseg - INFO - Iter [8700/160000] lr: 1.500e-04, eta: 8:18:10, time: 0.191, data_time: 0.007, memory: 19921, decode.loss_ce: 0.2193, decode.acc_seg: 90.9713, loss: 0.2193 +2023-03-04 22:19:44,630 - mmseg - INFO - Iter [8750/160000] lr: 1.500e-04, eta: 8:17:58, time: 0.195, data_time: 0.007, memory: 19921, decode.loss_ce: 0.2088, decode.acc_seg: 91.4035, loss: 0.2088 +2023-03-04 22:19:54,213 - mmseg - INFO - Iter [8800/160000] lr: 1.500e-04, eta: 8:17:43, time: 0.192, data_time: 0.007, memory: 19921, decode.loss_ce: 0.2138, decode.acc_seg: 91.2519, loss: 0.2138 +2023-03-04 22:20:06,274 - mmseg - INFO - Iter [8850/160000] lr: 1.500e-04, eta: 8:18:10, time: 0.241, data_time: 0.053, memory: 19921, decode.loss_ce: 0.2208, decode.acc_seg: 91.0631, loss: 0.2208 +2023-03-04 22:20:15,816 - mmseg - INFO - Iter [8900/160000] lr: 1.500e-04, eta: 8:17:55, time: 0.191, data_time: 0.007, memory: 19921, decode.loss_ce: 0.2160, decode.acc_seg: 91.0065, loss: 0.2160 +2023-03-04 22:20:25,294 - mmseg - INFO - Iter [8950/160000] lr: 1.500e-04, eta: 8:17:38, time: 0.190, data_time: 0.007, memory: 19921, decode.loss_ce: 0.2056, decode.acc_seg: 91.4858, loss: 0.2056 +2023-03-04 22:20:34,826 - mmseg - INFO - Exp name: ablation_segformer_mit_b2_segformer_head_unet_fc_small_multi_step_ade_pretrained_freeze_embed_160k_ade20k151_mask_finetune_maskonly.py +2023-03-04 22:20:34,826 - mmseg - INFO - Iter [9000/160000] lr: 1.500e-04, eta: 8:17:22, time: 0.191, data_time: 0.007, memory: 19921, decode.loss_ce: 0.2153, decode.acc_seg: 91.2596, loss: 0.2153 +2023-03-04 22:20:44,668 - mmseg - INFO - Iter [9050/160000] lr: 1.500e-04, eta: 8:17:12, time: 0.197, data_time: 0.007, memory: 19921, decode.loss_ce: 0.2163, decode.acc_seg: 91.2124, loss: 0.2163 +2023-03-04 22:20:54,290 - mmseg - INFO - Iter [9100/160000] lr: 1.500e-04, eta: 8:16:57, time: 0.192, data_time: 0.007, memory: 19921, decode.loss_ce: 0.2077, decode.acc_seg: 91.5915, loss: 0.2077 +2023-03-04 22:21:04,184 - mmseg - INFO - Iter [9150/160000] lr: 1.500e-04, eta: 8:16:48, time: 0.198, data_time: 0.007, memory: 19921, decode.loss_ce: 0.2206, decode.acc_seg: 91.1178, loss: 0.2206 +2023-03-04 22:21:13,609 - mmseg - INFO - Iter [9200/160000] lr: 1.500e-04, eta: 8:16:30, time: 0.189, data_time: 0.007, memory: 19921, decode.loss_ce: 0.2187, decode.acc_seg: 91.1668, loss: 0.2187 +2023-03-04 22:21:23,598 - mmseg - INFO - Iter [9250/160000] lr: 1.500e-04, eta: 8:16:22, time: 0.200, data_time: 0.007, memory: 19921, decode.loss_ce: 0.2197, decode.acc_seg: 91.0701, loss: 0.2197 +2023-03-04 22:21:33,315 - mmseg - INFO - Iter [9300/160000] lr: 1.500e-04, eta: 8:16:10, time: 0.194, data_time: 0.007, memory: 19921, decode.loss_ce: 0.2181, decode.acc_seg: 91.1837, loss: 0.2181 +2023-03-04 22:21:42,876 - mmseg - INFO - Iter [9350/160000] lr: 1.500e-04, eta: 8:15:55, time: 0.191, data_time: 0.007, memory: 19921, decode.loss_ce: 0.2058, decode.acc_seg: 91.5958, loss: 0.2058 +2023-03-04 22:21:52,501 - mmseg - INFO - Iter [9400/160000] lr: 1.500e-04, eta: 8:15:41, time: 0.193, data_time: 0.007, memory: 19921, decode.loss_ce: 0.2117, decode.acc_seg: 91.2391, loss: 0.2117 +2023-03-04 22:22:02,239 - mmseg - INFO - Iter [9450/160000] lr: 1.500e-04, eta: 8:15:29, time: 0.195, data_time: 0.007, memory: 19921, decode.loss_ce: 0.2069, decode.acc_seg: 91.5422, loss: 0.2069 +2023-03-04 22:22:14,614 - mmseg - INFO - Iter [9500/160000] lr: 1.500e-04, eta: 8:15:59, time: 0.247, data_time: 0.055, memory: 19921, decode.loss_ce: 0.2073, decode.acc_seg: 91.3880, loss: 0.2073 +2023-03-04 22:22:24,140 - mmseg - INFO - Iter [9550/160000] lr: 1.500e-04, eta: 8:15:43, time: 0.191, data_time: 0.006, memory: 19921, decode.loss_ce: 0.2171, decode.acc_seg: 91.2776, loss: 0.2171 +2023-03-04 22:22:33,607 - mmseg - INFO - Iter [9600/160000] lr: 1.500e-04, eta: 8:15:27, time: 0.189, data_time: 0.007, memory: 19921, decode.loss_ce: 0.2160, decode.acc_seg: 91.0536, loss: 0.2160 +2023-03-04 22:22:43,051 - mmseg - INFO - Iter [9650/160000] lr: 1.500e-04, eta: 8:15:10, time: 0.189, data_time: 0.007, memory: 19921, decode.loss_ce: 0.2142, decode.acc_seg: 91.4331, loss: 0.2142 +2023-03-04 22:22:52,481 - mmseg - INFO - Iter [9700/160000] lr: 1.500e-04, eta: 8:14:53, time: 0.189, data_time: 0.007, memory: 19921, decode.loss_ce: 0.2131, decode.acc_seg: 91.2834, loss: 0.2131 +2023-03-04 22:23:02,005 - mmseg - INFO - Iter [9750/160000] lr: 1.500e-04, eta: 8:14:38, time: 0.190, data_time: 0.007, memory: 19921, decode.loss_ce: 0.2135, decode.acc_seg: 91.3557, loss: 0.2135 +2023-03-04 22:23:11,612 - mmseg - INFO - Iter [9800/160000] lr: 1.500e-04, eta: 8:14:24, time: 0.192, data_time: 0.007, memory: 19921, decode.loss_ce: 0.2187, decode.acc_seg: 90.9389, loss: 0.2187 +2023-03-04 22:23:21,252 - mmseg - INFO - Iter [9850/160000] lr: 1.500e-04, eta: 8:14:10, time: 0.193, data_time: 0.007, memory: 19921, decode.loss_ce: 0.2160, decode.acc_seg: 91.2714, loss: 0.2160 +2023-03-04 22:23:30,976 - mmseg - INFO - Iter [9900/160000] lr: 1.500e-04, eta: 8:13:58, time: 0.194, data_time: 0.007, memory: 19921, decode.loss_ce: 0.2109, decode.acc_seg: 91.3106, loss: 0.2109 +2023-03-04 22:23:40,498 - mmseg - INFO - Iter [9950/160000] lr: 1.500e-04, eta: 8:13:43, time: 0.190, data_time: 0.007, memory: 19921, decode.loss_ce: 0.2099, decode.acc_seg: 91.2704, loss: 0.2099 +2023-03-04 22:23:50,155 - mmseg - INFO - Exp name: ablation_segformer_mit_b2_segformer_head_unet_fc_small_multi_step_ade_pretrained_freeze_embed_160k_ade20k151_mask_finetune_maskonly.py +2023-03-04 22:23:50,155 - mmseg - INFO - Iter [10000/160000] lr: 1.500e-04, eta: 8:13:30, time: 0.193, data_time: 0.007, memory: 19921, decode.loss_ce: 0.2182, decode.acc_seg: 91.1876, loss: 0.2182 +2023-03-04 22:23:59,602 - mmseg - INFO - Iter [10050/160000] lr: 1.500e-04, eta: 8:13:14, time: 0.189, data_time: 0.007, memory: 19921, decode.loss_ce: 0.2109, decode.acc_seg: 91.3419, loss: 0.2109 +2023-03-04 22:24:11,704 - mmseg - INFO - Iter [10100/160000] lr: 1.500e-04, eta: 8:13:37, time: 0.242, data_time: 0.055, memory: 19921, decode.loss_ce: 0.2079, decode.acc_seg: 91.6566, loss: 0.2079 +2023-03-04 22:24:21,497 - mmseg - INFO - Iter [10150/160000] lr: 1.500e-04, eta: 8:13:26, time: 0.196, data_time: 0.007, memory: 19921, decode.loss_ce: 0.2155, decode.acc_seg: 91.2085, loss: 0.2155 +2023-03-04 22:24:30,938 - mmseg - INFO - Iter [10200/160000] lr: 1.500e-04, eta: 8:13:09, time: 0.189, data_time: 0.007, memory: 19921, decode.loss_ce: 0.2104, decode.acc_seg: 91.2198, loss: 0.2104 +2023-03-04 22:24:40,482 - mmseg - INFO - Iter [10250/160000] lr: 1.500e-04, eta: 8:12:54, time: 0.191, data_time: 0.007, memory: 19921, decode.loss_ce: 0.2217, decode.acc_seg: 91.0621, loss: 0.2217 +2023-03-04 22:24:50,291 - mmseg - INFO - Iter [10300/160000] lr: 1.500e-04, eta: 8:12:44, time: 0.196, data_time: 0.007, memory: 19921, decode.loss_ce: 0.2170, decode.acc_seg: 91.1758, loss: 0.2170 +2023-03-04 22:25:00,445 - mmseg - INFO - Iter [10350/160000] lr: 1.500e-04, eta: 8:12:38, time: 0.203, data_time: 0.007, memory: 19921, decode.loss_ce: 0.2111, decode.acc_seg: 91.4095, loss: 0.2111 +2023-03-04 22:25:10,402 - mmseg - INFO - Iter [10400/160000] lr: 1.500e-04, eta: 8:12:29, time: 0.199, data_time: 0.007, memory: 19921, decode.loss_ce: 0.2022, decode.acc_seg: 91.6681, loss: 0.2022 +2023-03-04 22:25:20,046 - mmseg - INFO - Iter [10450/160000] lr: 1.500e-04, eta: 8:12:16, time: 0.193, data_time: 0.007, memory: 19921, decode.loss_ce: 0.2156, decode.acc_seg: 91.1453, loss: 0.2156 +2023-03-04 22:25:29,480 - mmseg - INFO - Iter [10500/160000] lr: 1.500e-04, eta: 8:12:00, time: 0.189, data_time: 0.006, memory: 19921, decode.loss_ce: 0.2173, decode.acc_seg: 91.0636, loss: 0.2173 +2023-03-04 22:25:39,339 - mmseg - INFO - Iter [10550/160000] lr: 1.500e-04, eta: 8:11:50, time: 0.197, data_time: 0.007, memory: 19921, decode.loss_ce: 0.2102, decode.acc_seg: 91.4876, loss: 0.2102 +2023-03-04 22:25:49,180 - mmseg - INFO - Iter [10600/160000] lr: 1.500e-04, eta: 8:11:40, time: 0.197, data_time: 0.007, memory: 19921, decode.loss_ce: 0.2142, decode.acc_seg: 91.2724, loss: 0.2142 +2023-03-04 22:25:58,701 - mmseg - INFO - Iter [10650/160000] lr: 1.500e-04, eta: 8:11:25, time: 0.190, data_time: 0.007, memory: 19921, decode.loss_ce: 0.2110, decode.acc_seg: 91.2617, loss: 0.2110 +2023-03-04 22:26:08,411 - mmseg - INFO - Iter [10700/160000] lr: 1.500e-04, eta: 8:11:13, time: 0.194, data_time: 0.007, memory: 19921, decode.loss_ce: 0.2093, decode.acc_seg: 91.4377, loss: 0.2093 +2023-03-04 22:26:20,375 - mmseg - INFO - Iter [10750/160000] lr: 1.500e-04, eta: 8:11:32, time: 0.239, data_time: 0.057, memory: 19921, decode.loss_ce: 0.2031, decode.acc_seg: 91.7091, loss: 0.2031 +2023-03-04 22:26:29,779 - mmseg - INFO - Iter [10800/160000] lr: 1.500e-04, eta: 8:11:15, time: 0.188, data_time: 0.007, memory: 19921, decode.loss_ce: 0.2147, decode.acc_seg: 91.2980, loss: 0.2147 +2023-03-04 22:26:39,479 - mmseg - INFO - Iter [10850/160000] lr: 1.500e-04, eta: 8:11:03, time: 0.194, data_time: 0.007, memory: 19921, decode.loss_ce: 0.2110, decode.acc_seg: 91.2961, loss: 0.2110 +2023-03-04 22:26:49,031 - mmseg - INFO - Iter [10900/160000] lr: 1.500e-04, eta: 8:10:49, time: 0.191, data_time: 0.007, memory: 19921, decode.loss_ce: 0.2150, decode.acc_seg: 91.2336, loss: 0.2150 +2023-03-04 22:26:58,571 - mmseg - INFO - Iter [10950/160000] lr: 1.500e-04, eta: 8:10:34, time: 0.191, data_time: 0.007, memory: 19921, decode.loss_ce: 0.2151, decode.acc_seg: 91.2503, loss: 0.2151 +2023-03-04 22:27:08,450 - mmseg - INFO - Exp name: ablation_segformer_mit_b2_segformer_head_unet_fc_small_multi_step_ade_pretrained_freeze_embed_160k_ade20k151_mask_finetune_maskonly.py +2023-03-04 22:27:08,451 - mmseg - INFO - Iter [11000/160000] lr: 1.500e-04, eta: 8:10:24, time: 0.198, data_time: 0.007, memory: 19921, decode.loss_ce: 0.2182, decode.acc_seg: 91.0012, loss: 0.2182 +2023-03-04 22:27:18,098 - mmseg - INFO - Iter [11050/160000] lr: 1.500e-04, eta: 8:10:11, time: 0.193, data_time: 0.007, memory: 19921, decode.loss_ce: 0.2117, decode.acc_seg: 91.3898, loss: 0.2117 +2023-03-04 22:27:28,473 - mmseg - INFO - Iter [11100/160000] lr: 1.500e-04, eta: 8:10:08, time: 0.208, data_time: 0.006, memory: 19921, decode.loss_ce: 0.2270, decode.acc_seg: 90.7070, loss: 0.2270 +2023-03-04 22:27:38,249 - mmseg - INFO - Iter [11150/160000] lr: 1.500e-04, eta: 8:09:57, time: 0.196, data_time: 0.007, memory: 19921, decode.loss_ce: 0.2130, decode.acc_seg: 91.3365, loss: 0.2130 +2023-03-04 22:27:47,948 - mmseg - INFO - Iter [11200/160000] lr: 1.500e-04, eta: 8:09:45, time: 0.194, data_time: 0.007, memory: 19921, decode.loss_ce: 0.2001, decode.acc_seg: 91.8930, loss: 0.2001 +2023-03-04 22:27:57,877 - mmseg - INFO - Iter [11250/160000] lr: 1.500e-04, eta: 8:09:36, time: 0.199, data_time: 0.007, memory: 19921, decode.loss_ce: 0.2140, decode.acc_seg: 91.2372, loss: 0.2140 +2023-03-04 22:28:07,476 - mmseg - INFO - Iter [11300/160000] lr: 1.500e-04, eta: 8:09:22, time: 0.192, data_time: 0.007, memory: 19921, decode.loss_ce: 0.2001, decode.acc_seg: 91.7287, loss: 0.2001 +2023-03-04 22:28:17,145 - mmseg - INFO - Iter [11350/160000] lr: 1.500e-04, eta: 8:09:10, time: 0.193, data_time: 0.007, memory: 19921, decode.loss_ce: 0.2040, decode.acc_seg: 91.6145, loss: 0.2040 +2023-03-04 22:28:29,270 - mmseg - INFO - Iter [11400/160000] lr: 1.500e-04, eta: 8:09:29, time: 0.243, data_time: 0.053, memory: 19921, decode.loss_ce: 0.2096, decode.acc_seg: 91.6069, loss: 0.2096 +2023-03-04 22:28:38,914 - mmseg - INFO - Iter [11450/160000] lr: 1.500e-04, eta: 8:09:16, time: 0.193, data_time: 0.007, memory: 19921, decode.loss_ce: 0.2117, decode.acc_seg: 91.3779, loss: 0.2117 +2023-03-04 22:28:48,451 - mmseg - INFO - Iter [11500/160000] lr: 1.500e-04, eta: 8:09:02, time: 0.191, data_time: 0.007, memory: 19921, decode.loss_ce: 0.2081, decode.acc_seg: 91.4605, loss: 0.2081 +2023-03-04 22:28:57,974 - mmseg - INFO - Iter [11550/160000] lr: 1.500e-04, eta: 8:08:47, time: 0.190, data_time: 0.006, memory: 19921, decode.loss_ce: 0.2113, decode.acc_seg: 91.3317, loss: 0.2113 +2023-03-04 22:29:07,525 - mmseg - INFO - Iter [11600/160000] lr: 1.500e-04, eta: 8:08:33, time: 0.191, data_time: 0.007, memory: 19921, decode.loss_ce: 0.2140, decode.acc_seg: 91.2185, loss: 0.2140 +2023-03-04 22:29:16,978 - mmseg - INFO - Iter [11650/160000] lr: 1.500e-04, eta: 8:08:18, time: 0.189, data_time: 0.007, memory: 19921, decode.loss_ce: 0.2147, decode.acc_seg: 91.2413, loss: 0.2147 +2023-03-04 22:29:26,670 - mmseg - INFO - Iter [11700/160000] lr: 1.500e-04, eta: 8:08:06, time: 0.194, data_time: 0.007, memory: 19921, decode.loss_ce: 0.2157, decode.acc_seg: 91.2786, loss: 0.2157 +2023-03-04 22:29:36,141 - mmseg - INFO - Iter [11750/160000] lr: 1.500e-04, eta: 8:07:51, time: 0.189, data_time: 0.006, memory: 19921, decode.loss_ce: 0.2101, decode.acc_seg: 91.3014, loss: 0.2101 +2023-03-04 22:29:45,952 - mmseg - INFO - Iter [11800/160000] lr: 1.500e-04, eta: 8:07:40, time: 0.196, data_time: 0.007, memory: 19921, decode.loss_ce: 0.2080, decode.acc_seg: 91.3109, loss: 0.2080 +2023-03-04 22:29:56,572 - mmseg - INFO - Iter [11850/160000] lr: 1.500e-04, eta: 8:07:40, time: 0.212, data_time: 0.009, memory: 19921, decode.loss_ce: 0.2101, decode.acc_seg: 91.2338, loss: 0.2101 +2023-03-04 22:30:06,742 - mmseg - INFO - Iter [11900/160000] lr: 1.500e-04, eta: 8:07:34, time: 0.203, data_time: 0.008, memory: 19921, decode.loss_ce: 0.2152, decode.acc_seg: 91.2380, loss: 0.2152 +2023-03-04 22:30:16,208 - mmseg - INFO - Iter [11950/160000] lr: 1.500e-04, eta: 8:07:19, time: 0.189, data_time: 0.007, memory: 19921, decode.loss_ce: 0.2139, decode.acc_seg: 91.2018, loss: 0.2139 +2023-03-04 22:30:28,432 - mmseg - INFO - Exp name: ablation_segformer_mit_b2_segformer_head_unet_fc_small_multi_step_ade_pretrained_freeze_embed_160k_ade20k151_mask_finetune_maskonly.py +2023-03-04 22:30:28,432 - mmseg - INFO - Iter [12000/160000] lr: 1.500e-04, eta: 8:07:38, time: 0.244, data_time: 0.055, memory: 19921, decode.loss_ce: 0.2153, decode.acc_seg: 91.1813, loss: 0.2153 +2023-03-04 22:30:37,962 - mmseg - INFO - Iter [12050/160000] lr: 1.500e-04, eta: 8:07:23, time: 0.191, data_time: 0.006, memory: 19921, decode.loss_ce: 0.2098, decode.acc_seg: 91.4828, loss: 0.2098 +2023-03-04 22:30:47,618 - mmseg - INFO - Iter [12100/160000] lr: 1.500e-04, eta: 8:07:11, time: 0.193, data_time: 0.007, memory: 19921, decode.loss_ce: 0.2125, decode.acc_seg: 91.3263, loss: 0.2125 +2023-03-04 22:30:57,034 - mmseg - INFO - Iter [12150/160000] lr: 1.500e-04, eta: 8:06:55, time: 0.188, data_time: 0.007, memory: 19921, decode.loss_ce: 0.2201, decode.acc_seg: 91.1336, loss: 0.2201 +2023-03-04 22:31:06,587 - mmseg - INFO - Iter [12200/160000] lr: 1.500e-04, eta: 8:06:41, time: 0.191, data_time: 0.007, memory: 19921, decode.loss_ce: 0.2225, decode.acc_seg: 91.0357, loss: 0.2225 +2023-03-04 22:31:16,018 - mmseg - INFO - Iter [12250/160000] lr: 1.500e-04, eta: 8:06:26, time: 0.189, data_time: 0.007, memory: 19921, decode.loss_ce: 0.2221, decode.acc_seg: 91.1073, loss: 0.2221 +2023-03-04 22:31:25,639 - mmseg - INFO - Iter [12300/160000] lr: 1.500e-04, eta: 8:06:13, time: 0.192, data_time: 0.007, memory: 19921, decode.loss_ce: 0.2124, decode.acc_seg: 91.3258, loss: 0.2124 +2023-03-04 22:31:35,545 - mmseg - INFO - Iter [12350/160000] lr: 1.500e-04, eta: 8:06:04, time: 0.198, data_time: 0.007, memory: 19921, decode.loss_ce: 0.2135, decode.acc_seg: 91.2025, loss: 0.2135 +2023-03-04 22:31:45,100 - mmseg - INFO - Iter [12400/160000] lr: 1.500e-04, eta: 8:05:50, time: 0.191, data_time: 0.007, memory: 19921, decode.loss_ce: 0.2121, decode.acc_seg: 91.3735, loss: 0.2121 +2023-03-04 22:31:54,722 - mmseg - INFO - Iter [12450/160000] lr: 1.500e-04, eta: 8:05:37, time: 0.192, data_time: 0.007, memory: 19921, decode.loss_ce: 0.2153, decode.acc_seg: 91.1794, loss: 0.2153 +2023-03-04 22:32:04,345 - mmseg - INFO - Iter [12500/160000] lr: 1.500e-04, eta: 8:05:24, time: 0.192, data_time: 0.007, memory: 19921, decode.loss_ce: 0.2167, decode.acc_seg: 91.0954, loss: 0.2167 +2023-03-04 22:32:13,827 - mmseg - INFO - Iter [12550/160000] lr: 1.500e-04, eta: 8:05:10, time: 0.190, data_time: 0.007, memory: 19921, decode.loss_ce: 0.2067, decode.acc_seg: 91.5901, loss: 0.2067 +2023-03-04 22:32:23,317 - mmseg - INFO - Iter [12600/160000] lr: 1.500e-04, eta: 8:04:55, time: 0.190, data_time: 0.007, memory: 19921, decode.loss_ce: 0.2046, decode.acc_seg: 91.5523, loss: 0.2046 +2023-03-04 22:32:35,380 - mmseg - INFO - Iter [12650/160000] lr: 1.500e-04, eta: 8:05:11, time: 0.241, data_time: 0.057, memory: 19921, decode.loss_ce: 0.2176, decode.acc_seg: 91.1799, loss: 0.2176 +2023-03-04 22:32:45,014 - mmseg - INFO - Iter [12700/160000] lr: 1.500e-04, eta: 8:04:58, time: 0.193, data_time: 0.007, memory: 19921, decode.loss_ce: 0.2051, decode.acc_seg: 91.4871, loss: 0.2051 +2023-03-04 22:32:54,465 - mmseg - INFO - Iter [12750/160000] lr: 1.500e-04, eta: 8:04:44, time: 0.189, data_time: 0.007, memory: 19921, decode.loss_ce: 0.2079, decode.acc_seg: 91.5536, loss: 0.2079 +2023-03-04 22:33:04,163 - mmseg - INFO - Iter [12800/160000] lr: 1.500e-04, eta: 8:04:32, time: 0.194, data_time: 0.007, memory: 19921, decode.loss_ce: 0.2082, decode.acc_seg: 91.4496, loss: 0.2082 +2023-03-04 22:33:13,745 - mmseg - INFO - Iter [12850/160000] lr: 1.500e-04, eta: 8:04:18, time: 0.192, data_time: 0.006, memory: 19921, decode.loss_ce: 0.2123, decode.acc_seg: 91.2579, loss: 0.2123 +2023-03-04 22:33:23,310 - mmseg - INFO - Iter [12900/160000] lr: 1.500e-04, eta: 8:04:05, time: 0.191, data_time: 0.007, memory: 19921, decode.loss_ce: 0.2133, decode.acc_seg: 91.2440, loss: 0.2133 +2023-03-04 22:33:32,833 - mmseg - INFO - Iter [12950/160000] lr: 1.500e-04, eta: 8:03:51, time: 0.190, data_time: 0.007, memory: 19921, decode.loss_ce: 0.2062, decode.acc_seg: 91.6706, loss: 0.2062 +2023-03-04 22:33:42,543 - mmseg - INFO - Exp name: ablation_segformer_mit_b2_segformer_head_unet_fc_small_multi_step_ade_pretrained_freeze_embed_160k_ade20k151_mask_finetune_maskonly.py +2023-03-04 22:33:42,543 - mmseg - INFO - Iter [13000/160000] lr: 1.500e-04, eta: 8:03:39, time: 0.194, data_time: 0.007, memory: 19921, decode.loss_ce: 0.2232, decode.acc_seg: 90.8356, loss: 0.2232 +2023-03-04 22:33:52,082 - mmseg - INFO - Iter [13050/160000] lr: 1.500e-04, eta: 8:03:26, time: 0.191, data_time: 0.007, memory: 19921, decode.loss_ce: 0.2113, decode.acc_seg: 91.4838, loss: 0.2113 +2023-03-04 22:34:01,558 - mmseg - INFO - Iter [13100/160000] lr: 1.500e-04, eta: 8:03:12, time: 0.190, data_time: 0.007, memory: 19921, decode.loss_ce: 0.2131, decode.acc_seg: 91.3137, loss: 0.2131 +2023-03-04 22:34:11,235 - mmseg - INFO - Iter [13150/160000] lr: 1.500e-04, eta: 8:03:00, time: 0.193, data_time: 0.007, memory: 19921, decode.loss_ce: 0.2178, decode.acc_seg: 91.2173, loss: 0.2178 +2023-03-04 22:34:20,695 - mmseg - INFO - Iter [13200/160000] lr: 1.500e-04, eta: 8:02:45, time: 0.189, data_time: 0.007, memory: 19921, decode.loss_ce: 0.2016, decode.acc_seg: 91.6781, loss: 0.2016 +2023-03-04 22:34:30,236 - mmseg - INFO - Iter [13250/160000] lr: 1.500e-04, eta: 8:02:32, time: 0.191, data_time: 0.006, memory: 19921, decode.loss_ce: 0.2246, decode.acc_seg: 90.7765, loss: 0.2246 +2023-03-04 22:34:42,783 - mmseg - INFO - Iter [13300/160000] lr: 1.500e-04, eta: 8:02:51, time: 0.251, data_time: 0.056, memory: 19921, decode.loss_ce: 0.2124, decode.acc_seg: 91.2146, loss: 0.2124 +2023-03-04 22:34:52,386 - mmseg - INFO - Iter [13350/160000] lr: 1.500e-04, eta: 8:02:39, time: 0.192, data_time: 0.007, memory: 19921, decode.loss_ce: 0.2203, decode.acc_seg: 91.2455, loss: 0.2203 +2023-03-04 22:35:01,939 - mmseg - INFO - Iter [13400/160000] lr: 1.500e-04, eta: 8:02:25, time: 0.191, data_time: 0.007, memory: 19921, decode.loss_ce: 0.2202, decode.acc_seg: 91.0307, loss: 0.2202 +2023-03-04 22:35:11,451 - mmseg - INFO - Iter [13450/160000] lr: 1.500e-04, eta: 8:02:11, time: 0.190, data_time: 0.007, memory: 19921, decode.loss_ce: 0.2168, decode.acc_seg: 91.1228, loss: 0.2168 +2023-03-04 22:35:21,733 - mmseg - INFO - Iter [13500/160000] lr: 1.500e-04, eta: 8:02:06, time: 0.206, data_time: 0.007, memory: 19921, decode.loss_ce: 0.2152, decode.acc_seg: 91.2772, loss: 0.2152 +2023-03-04 22:35:31,411 - mmseg - INFO - Iter [13550/160000] lr: 1.500e-04, eta: 8:01:54, time: 0.194, data_time: 0.007, memory: 19921, decode.loss_ce: 0.2237, decode.acc_seg: 90.9034, loss: 0.2237 +2023-03-04 22:35:41,099 - mmseg - INFO - Iter [13600/160000] lr: 1.500e-04, eta: 8:01:42, time: 0.194, data_time: 0.007, memory: 19921, decode.loss_ce: 0.2102, decode.acc_seg: 91.3511, loss: 0.2102 +2023-03-04 22:35:50,631 - mmseg - INFO - Iter [13650/160000] lr: 1.500e-04, eta: 8:01:29, time: 0.191, data_time: 0.007, memory: 19921, decode.loss_ce: 0.2159, decode.acc_seg: 90.9108, loss: 0.2159 +2023-03-04 22:36:00,070 - mmseg - INFO - Iter [13700/160000] lr: 1.500e-04, eta: 8:01:14, time: 0.189, data_time: 0.007, memory: 19921, decode.loss_ce: 0.2053, decode.acc_seg: 91.6409, loss: 0.2053 +2023-03-04 22:36:09,494 - mmseg - INFO - Iter [13750/160000] lr: 1.500e-04, eta: 8:01:00, time: 0.188, data_time: 0.007, memory: 19921, decode.loss_ce: 0.2173, decode.acc_seg: 91.2001, loss: 0.2173 +2023-03-04 22:36:19,270 - mmseg - INFO - Iter [13800/160000] lr: 1.500e-04, eta: 8:00:49, time: 0.195, data_time: 0.007, memory: 19921, decode.loss_ce: 0.2102, decode.acc_seg: 91.4347, loss: 0.2102 +2023-03-04 22:36:28,958 - mmseg - INFO - Iter [13850/160000] lr: 1.500e-04, eta: 8:00:37, time: 0.194, data_time: 0.007, memory: 19921, decode.loss_ce: 0.2028, decode.acc_seg: 91.5265, loss: 0.2028 +2023-03-04 22:36:41,298 - mmseg - INFO - Iter [13900/160000] lr: 1.500e-04, eta: 8:00:53, time: 0.247, data_time: 0.055, memory: 19921, decode.loss_ce: 0.2156, decode.acc_seg: 91.2012, loss: 0.2156 +2023-03-04 22:36:50,879 - mmseg - INFO - Iter [13950/160000] lr: 1.500e-04, eta: 8:00:40, time: 0.192, data_time: 0.007, memory: 19921, decode.loss_ce: 0.2042, decode.acc_seg: 91.5563, loss: 0.2042 +2023-03-04 22:37:00,503 - mmseg - INFO - Exp name: ablation_segformer_mit_b2_segformer_head_unet_fc_small_multi_step_ade_pretrained_freeze_embed_160k_ade20k151_mask_finetune_maskonly.py +2023-03-04 22:37:00,504 - mmseg - INFO - Iter [14000/160000] lr: 1.500e-04, eta: 8:00:28, time: 0.193, data_time: 0.007, memory: 19921, decode.loss_ce: 0.1995, decode.acc_seg: 91.6578, loss: 0.1995 +2023-03-04 22:37:10,247 - mmseg - INFO - Iter [14050/160000] lr: 1.500e-04, eta: 8:00:16, time: 0.195, data_time: 0.007, memory: 19921, decode.loss_ce: 0.2117, decode.acc_seg: 91.4908, loss: 0.2117 +2023-03-04 22:37:19,920 - mmseg - INFO - Iter [14100/160000] lr: 1.500e-04, eta: 8:00:05, time: 0.193, data_time: 0.007, memory: 19921, decode.loss_ce: 0.2116, decode.acc_seg: 91.2401, loss: 0.2116 +2023-03-04 22:37:29,688 - mmseg - INFO - Iter [14150/160000] lr: 1.500e-04, eta: 7:59:54, time: 0.195, data_time: 0.007, memory: 19921, decode.loss_ce: 0.2156, decode.acc_seg: 91.2078, loss: 0.2156 +2023-03-04 22:37:39,510 - mmseg - INFO - Iter [14200/160000] lr: 1.500e-04, eta: 7:59:43, time: 0.196, data_time: 0.007, memory: 19921, decode.loss_ce: 0.2121, decode.acc_seg: 91.3286, loss: 0.2121 +2023-03-04 22:37:49,002 - mmseg - INFO - Iter [14250/160000] lr: 1.500e-04, eta: 7:59:29, time: 0.190, data_time: 0.007, memory: 19921, decode.loss_ce: 0.2152, decode.acc_seg: 91.2658, loss: 0.2152 +2023-03-04 22:37:59,066 - mmseg - INFO - Iter [14300/160000] lr: 1.500e-04, eta: 7:59:22, time: 0.201, data_time: 0.007, memory: 19921, decode.loss_ce: 0.2068, decode.acc_seg: 91.6133, loss: 0.2068 +2023-03-04 22:38:08,798 - mmseg - INFO - Iter [14350/160000] lr: 1.500e-04, eta: 7:59:10, time: 0.195, data_time: 0.007, memory: 19921, decode.loss_ce: 0.2186, decode.acc_seg: 91.4024, loss: 0.2186 +2023-03-04 22:38:18,396 - mmseg - INFO - Iter [14400/160000] lr: 1.500e-04, eta: 7:58:58, time: 0.192, data_time: 0.007, memory: 19921, decode.loss_ce: 0.2067, decode.acc_seg: 91.5115, loss: 0.2067 +2023-03-04 22:38:27,806 - mmseg - INFO - Iter [14450/160000] lr: 1.500e-04, eta: 7:58:43, time: 0.188, data_time: 0.007, memory: 19921, decode.loss_ce: 0.2191, decode.acc_seg: 91.2498, loss: 0.2191 +2023-03-04 22:38:37,358 - mmseg - INFO - Iter [14500/160000] lr: 1.500e-04, eta: 7:58:30, time: 0.191, data_time: 0.007, memory: 19921, decode.loss_ce: 0.2056, decode.acc_seg: 91.5229, loss: 0.2056 +2023-03-04 22:38:49,409 - mmseg - INFO - Iter [14550/160000] lr: 1.500e-04, eta: 7:58:42, time: 0.241, data_time: 0.056, memory: 19921, decode.loss_ce: 0.2120, decode.acc_seg: 91.3338, loss: 0.2120 +2023-03-04 22:38:59,286 - mmseg - INFO - Iter [14600/160000] lr: 1.500e-04, eta: 7:58:32, time: 0.198, data_time: 0.007, memory: 19921, decode.loss_ce: 0.2154, decode.acc_seg: 91.3421, loss: 0.2154 +2023-03-04 22:39:09,158 - mmseg - INFO - Iter [14650/160000] lr: 1.500e-04, eta: 7:58:22, time: 0.197, data_time: 0.007, memory: 19921, decode.loss_ce: 0.2095, decode.acc_seg: 91.3389, loss: 0.2095 +2023-03-04 22:39:19,043 - mmseg - INFO - Iter [14700/160000] lr: 1.500e-04, eta: 7:58:13, time: 0.198, data_time: 0.007, memory: 19921, decode.loss_ce: 0.2034, decode.acc_seg: 91.6046, loss: 0.2034 +2023-03-04 22:39:28,511 - mmseg - INFO - Iter [14750/160000] lr: 1.500e-04, eta: 7:57:59, time: 0.189, data_time: 0.007, memory: 19921, decode.loss_ce: 0.2123, decode.acc_seg: 91.2391, loss: 0.2123 +2023-03-04 22:39:38,003 - mmseg - INFO - Iter [14800/160000] lr: 1.500e-04, eta: 7:57:45, time: 0.190, data_time: 0.007, memory: 19921, decode.loss_ce: 0.2102, decode.acc_seg: 91.3328, loss: 0.2102 +2023-03-04 22:39:47,886 - mmseg - INFO - Iter [14850/160000] lr: 1.500e-04, eta: 7:57:35, time: 0.198, data_time: 0.007, memory: 19921, decode.loss_ce: 0.2130, decode.acc_seg: 91.2520, loss: 0.2130 +2023-03-04 22:39:57,323 - mmseg - INFO - Iter [14900/160000] lr: 1.500e-04, eta: 7:57:21, time: 0.189, data_time: 0.007, memory: 19921, decode.loss_ce: 0.2174, decode.acc_seg: 91.3508, loss: 0.2174 +2023-03-04 22:40:07,077 - mmseg - INFO - Iter [14950/160000] lr: 1.500e-04, eta: 7:57:10, time: 0.195, data_time: 0.006, memory: 19921, decode.loss_ce: 0.2099, decode.acc_seg: 91.4829, loss: 0.2099 +2023-03-04 22:40:16,766 - mmseg - INFO - Exp name: ablation_segformer_mit_b2_segformer_head_unet_fc_small_multi_step_ade_pretrained_freeze_embed_160k_ade20k151_mask_finetune_maskonly.py +2023-03-04 22:40:16,766 - mmseg - INFO - Iter [15000/160000] lr: 1.500e-04, eta: 7:56:59, time: 0.194, data_time: 0.007, memory: 19921, decode.loss_ce: 0.2060, decode.acc_seg: 91.5090, loss: 0.2060 +2023-03-04 22:40:26,222 - mmseg - INFO - Iter [15050/160000] lr: 1.500e-04, eta: 7:56:45, time: 0.189, data_time: 0.007, memory: 19921, decode.loss_ce: 0.2185, decode.acc_seg: 91.1344, loss: 0.2185 +2023-03-04 22:40:35,847 - mmseg - INFO - Iter [15100/160000] lr: 1.500e-04, eta: 7:56:33, time: 0.193, data_time: 0.007, memory: 19921, decode.loss_ce: 0.2419, decode.acc_seg: 90.3932, loss: 0.2419 +2023-03-04 22:40:48,067 - mmseg - INFO - Iter [15150/160000] lr: 1.500e-04, eta: 7:56:45, time: 0.244, data_time: 0.054, memory: 19921, decode.loss_ce: 0.2116, decode.acc_seg: 91.3865, loss: 0.2116 +2023-03-04 22:40:57,829 - mmseg - INFO - Iter [15200/160000] lr: 1.500e-04, eta: 7:56:34, time: 0.195, data_time: 0.006, memory: 19921, decode.loss_ce: 0.2166, decode.acc_seg: 91.0904, loss: 0.2166 +2023-03-04 22:41:07,404 - mmseg - INFO - Iter [15250/160000] lr: 1.500e-04, eta: 7:56:22, time: 0.191, data_time: 0.007, memory: 19921, decode.loss_ce: 0.2067, decode.acc_seg: 91.4728, loss: 0.2067 +2023-03-04 22:41:16,974 - mmseg - INFO - Iter [15300/160000] lr: 1.500e-04, eta: 7:56:09, time: 0.191, data_time: 0.007, memory: 19921, decode.loss_ce: 0.2106, decode.acc_seg: 91.3972, loss: 0.2106 +2023-03-04 22:41:26,524 - mmseg - INFO - Iter [15350/160000] lr: 1.500e-04, eta: 7:55:56, time: 0.191, data_time: 0.007, memory: 19921, decode.loss_ce: 0.2182, decode.acc_seg: 91.1789, loss: 0.2182 +2023-03-04 22:41:36,032 - mmseg - INFO - Iter [15400/160000] lr: 1.500e-04, eta: 7:55:43, time: 0.190, data_time: 0.007, memory: 19921, decode.loss_ce: 0.2104, decode.acc_seg: 91.4403, loss: 0.2104 +2023-03-04 22:41:45,587 - mmseg - INFO - Iter [15450/160000] lr: 1.500e-04, eta: 7:55:30, time: 0.191, data_time: 0.007, memory: 19921, decode.loss_ce: 0.2227, decode.acc_seg: 90.9737, loss: 0.2227 +2023-03-04 22:41:55,084 - mmseg - INFO - Iter [15500/160000] lr: 1.500e-04, eta: 7:55:17, time: 0.190, data_time: 0.007, memory: 19921, decode.loss_ce: 0.2107, decode.acc_seg: 91.3312, loss: 0.2107 +2023-03-04 22:42:04,730 - mmseg - INFO - Iter [15550/160000] lr: 1.500e-04, eta: 7:55:05, time: 0.193, data_time: 0.007, memory: 19921, decode.loss_ce: 0.2170, decode.acc_seg: 91.1675, loss: 0.2170 +2023-03-04 22:42:14,179 - mmseg - INFO - Iter [15600/160000] lr: 1.500e-04, eta: 7:54:51, time: 0.189, data_time: 0.007, memory: 19921, decode.loss_ce: 0.2165, decode.acc_seg: 91.1328, loss: 0.2165 +2023-03-04 22:42:23,974 - mmseg - INFO - Iter [15650/160000] lr: 1.500e-04, eta: 7:54:40, time: 0.196, data_time: 0.006, memory: 19921, decode.loss_ce: 0.2109, decode.acc_seg: 91.4104, loss: 0.2109 +2023-03-04 22:42:33,677 - mmseg - INFO - Iter [15700/160000] lr: 1.500e-04, eta: 7:54:29, time: 0.194, data_time: 0.007, memory: 19921, decode.loss_ce: 0.2147, decode.acc_seg: 91.3334, loss: 0.2147 +2023-03-04 22:42:43,210 - mmseg - INFO - Iter [15750/160000] lr: 1.500e-04, eta: 7:54:16, time: 0.191, data_time: 0.007, memory: 19921, decode.loss_ce: 0.2100, decode.acc_seg: 91.3559, loss: 0.2100 +2023-03-04 22:42:55,317 - mmseg - INFO - Iter [15800/160000] lr: 1.500e-04, eta: 7:54:27, time: 0.242, data_time: 0.054, memory: 19921, decode.loss_ce: 0.2064, decode.acc_seg: 91.5885, loss: 0.2064 +2023-03-04 22:43:05,188 - mmseg - INFO - Iter [15850/160000] lr: 1.500e-04, eta: 7:54:17, time: 0.197, data_time: 0.007, memory: 19921, decode.loss_ce: 0.2058, decode.acc_seg: 91.4909, loss: 0.2058 +2023-03-04 22:43:14,878 - mmseg - INFO - Iter [15900/160000] lr: 1.500e-04, eta: 7:54:05, time: 0.194, data_time: 0.007, memory: 19921, decode.loss_ce: 0.2131, decode.acc_seg: 91.2738, loss: 0.2131 +2023-03-04 22:43:24,426 - mmseg - INFO - Iter [15950/160000] lr: 1.500e-04, eta: 7:53:52, time: 0.191, data_time: 0.007, memory: 19921, decode.loss_ce: 0.2152, decode.acc_seg: 91.2535, loss: 0.2152 +2023-03-04 22:43:34,008 - mmseg - INFO - Swap parameters (after train) after iter [16000] +2023-03-04 22:43:34,020 - mmseg - INFO - Saving checkpoint at 16000 iterations +2023-03-04 22:43:35,055 - mmseg - INFO - Exp name: ablation_segformer_mit_b2_segformer_head_unet_fc_small_multi_step_ade_pretrained_freeze_embed_160k_ade20k151_mask_finetune_maskonly.py +2023-03-04 22:43:35,055 - mmseg - INFO - Iter [16000/160000] lr: 1.500e-04, eta: 7:53:49, time: 0.212, data_time: 0.007, memory: 19921, decode.loss_ce: 0.2056, decode.acc_seg: 91.7061, loss: 0.2056 +2023-03-04 22:57:15,063 - mmseg - INFO - per class results: +2023-03-04 22:57:15,072 - mmseg - INFO - ++---------------------+-------------------------------------------------------------------+ +| Class | IoU 0,10,20,30,40,50,60,70,80,90,99 | ++---------------------+-------------------------------------------------------------------+ +| background | nan,nan,nan,nan,nan,nan,nan,nan,nan,nan,nan | +| wall | 77.13,77.19,77.19,77.19,77.19,77.19,77.19,77.19,77.19,77.19,77.19 | +| building | 81.5,81.51,81.52,81.52,81.52,81.52,81.53,81.52,81.52,81.52,81.49 | +| sky | 94.4,94.43,94.43,94.43,94.43,94.43,94.43,94.43,94.43,94.43,94.43 | +| floor | 81.43,81.52,81.51,81.51,81.51,81.51,81.51,81.51,81.5,81.5,81.52 | +| tree | 73.62,73.79,73.8,73.8,73.8,73.8,73.8,73.8,73.8,73.79,73.76 | +| ceiling | 84.99,84.98,84.96,84.96,84.96,84.96,84.96,84.96,84.96,84.96,84.96 | +| road | 81.94,81.81,81.82,81.82,81.82,81.83,81.83,81.83,81.83,81.83,81.84 | +| bed | 87.08,87.23,87.26,87.27,87.27,87.27,87.27,87.28,87.28,87.27,87.23 | +| windowpane | 60.1,60.24,60.25,60.25,60.25,60.25,60.24,60.24,60.24,60.25,60.31 | +| grass | 66.81,66.96,66.97,66.97,66.97,66.97,66.97,66.97,66.97,66.97,66.98 | +| cabinet | 60.06,60.2,60.2,60.2,60.2,60.18,60.19,60.19,60.19,60.18,60.23 | +| sidewalk | 63.42,63.4,63.42,63.42,63.42,63.42,63.41,63.41,63.42,63.42,63.43 | +| person | 78.91,79.22,79.23,79.23,79.23,79.23,79.22,79.22,79.23,79.22,79.29 | +| earth | 35.56,35.47,35.49,35.48,35.48,35.46,35.48,35.48,35.47,35.48,35.46 | +| door | 44.79,45.1,45.17,45.21,45.23,45.26,45.25,45.24,45.26,45.26,45.27 | +| table | 59.74,59.94,59.95,59.93,59.94,59.94,59.9,59.95,59.93,59.94,59.92 | +| mountain | 56.78,57.02,56.97,56.93,56.94,56.91,56.92,56.94,56.92,56.94,57.01 | +| plant | 49.69,49.9,49.91,49.89,49.89,49.88,49.87,49.87,49.85,49.86,49.81 | +| curtain | 73.61,74.05,74.1,74.11,74.09,74.12,74.11,74.12,74.12,74.12,74.11 | +| chair | 55.85,55.92,55.88,55.89,55.89,55.87,55.88,55.88,55.88,55.88,55.93 | +| car | 80.97,81.08,81.1,81.1,81.1,81.11,81.1,81.11,81.1,81.1,81.09 | +| water | 57.83,57.69,57.67,57.65,57.65,57.66,57.65,57.65,57.65,57.65,57.68 | +| painting | 70.38,69.98,69.98,69.97,69.97,69.95,69.94,69.96,69.95,69.94,69.94 | +| sofa | 63.31,63.12,63.09,63.08,63.08,63.08,63.07,63.07,63.06,63.08,63.1 | +| shelf | 44.06,44.16,44.15,44.13,44.16,44.16,44.19,44.18,44.15,44.17,44.29 | +| house | 41.23,41.17,41.19,41.19,41.22,41.32,41.35,41.33,41.29,41.33,41.26 | +| sea | 60.73,60.32,60.26,60.21,60.21,60.21,60.19,60.21,60.18,60.21,60.35 | +| mirror | 64.44,64.55,64.56,64.56,64.56,64.57,64.58,64.59,64.59,64.59,64.66 | +| rug | 63.68,64.16,64.16,64.15,64.13,64.15,64.16,64.17,64.14,64.15,64.19 | +| field | 30.45,30.51,30.5,30.5,30.5,30.5,30.5,30.5,30.5,30.51,30.51 | +| armchair | 36.8,36.95,36.98,36.96,36.97,36.98,36.93,36.96,36.94,36.96,36.98 | +| seat | 66.0,66.41,66.42,66.43,66.43,66.43,66.43,66.42,66.43,66.41,66.45 | +| fence | 41.05,40.92,40.95,40.93,40.92,40.91,40.92,40.89,40.87,40.88,40.9 | +| desk | 46.57,46.66,46.64,46.64,46.64,46.64,46.62,46.64,46.66,46.64,46.62 | +| rock | 36.71,36.56,36.59,36.59,36.6,36.6,36.6,36.61,36.61,36.6,36.47 | +| wardrobe | 56.06,56.34,56.36,56.39,56.39,56.39,56.39,56.39,56.4,56.39,56.38 | +| lamp | 60.44,60.44,60.43,60.38,60.37,60.38,60.37,60.38,60.41,60.39,60.3 | +| bathtub | 75.04,75.32,75.25,75.27,75.27,75.26,75.25,75.26,75.27,75.25,75.3 | +| railing | 33.2,33.31,33.28,33.3,33.29,33.29,33.3,33.28,33.3,33.28,33.44 | +| cushion | 55.15,55.19,55.17,55.13,55.14,55.13,55.14,55.12,55.1,55.12,55.25 | +| base | 19.47,21.63,21.69,21.68,21.7,21.66,21.72,21.66,21.73,21.73,21.88 | +| box | 22.57,22.82,22.88,22.86,22.86,22.86,22.85,22.85,22.87,22.85,22.8 | +| column | 45.79,45.78,45.74,45.72,45.73,45.72,45.71,45.68,45.7,45.7,45.84 | +| signboard | 37.46,37.63,37.67,37.66,37.67,37.68,37.69,37.68,37.67,37.68,37.68 | +| chest of drawers | 36.39,36.67,36.59,36.57,36.58,36.53,36.57,36.55,36.56,36.59,36.82 | +| counter | 31.81,31.51,31.45,31.53,31.43,31.45,31.49,31.43,31.49,31.44,31.48 | +| sand | 41.56,41.95,41.98,41.99,42.02,42.11,42.1,42.12,42.12,42.07,42.13 | +| sink | 66.61,66.85,66.85,66.87,66.9,66.88,66.89,66.87,66.9,66.89,66.89 | +| skyscraper | 49.39,49.29,49.38,49.39,49.43,49.41,49.31,49.38,49.27,49.29,49.09 | +| fireplace | 74.14,74.76,74.88,74.93,75.0,75.05,75.03,74.99,74.99,75.01,74.73 | +| refrigerator | 72.59,73.21,73.07,73.06,73.09,73.04,73.12,73.11,73.06,73.09,72.97 | +| grandstand | 50.91,50.93,50.94,50.8,50.86,50.79,50.97,50.86,50.93,50.87,50.71 | +| path | 22.03,22.76,22.74,22.69,22.7,22.69,22.75,22.72,22.72,22.73,22.82 | +| stairs | 32.84,31.69,31.6,31.61,31.59,31.61,31.6,31.59,31.62,31.59,31.64 | +| runway | 67.43,67.9,67.92,67.92,67.92,67.95,67.94,67.95,67.95,67.94,67.97 | +| case | 48.6,48.53,48.56,48.58,48.58,48.55,48.57,48.56,48.57,48.56,48.72 | +| pool table | 91.37,91.46,91.46,91.46,91.47,91.46,91.46,91.46,91.45,91.45,91.48 | +| pillow | 57.93,59.71,59.71,59.69,59.7,59.71,59.71,59.68,59.67,59.72,59.89 | +| screen door | 66.86,67.67,67.7,67.64,67.7,67.6,67.65,67.67,67.62,67.56,67.41 | +| stairway | 23.84,23.81,23.81,23.8,23.82,23.82,23.84,23.81,23.8,23.82,23.78 | +| river | 12.07,12.09,12.08,12.08,12.08,12.08,12.09,12.08,12.09,12.08,12.13 | +| bridge | 32.99,33.24,33.27,33.22,33.2,33.2,33.17,33.21,33.19,33.18,32.83 | +| bookcase | 45.86,45.79,45.73,45.77,45.77,45.72,45.72,45.72,45.72,45.73,45.61 | +| blind | 38.39,39.57,39.53,39.55,39.57,39.62,39.55,39.56,39.48,39.51,39.84 | +| coffee table | 53.27,52.46,52.35,52.34,52.38,52.36,52.31,52.34,52.34,52.35,52.25 | +| toilet | 83.44,83.22,83.18,83.21,83.21,83.21,83.21,83.21,83.24,83.22,83.22 | +| flower | 37.94,38.36,38.37,38.38,38.35,38.36,38.34,38.35,38.34,38.35,38.37 | +| book | 44.94,44.95,45.02,45.0,44.96,44.98,44.98,44.98,44.97,44.98,44.74 | +| hill | 14.85,15.12,15.15,15.1,15.1,15.14,15.1,15.16,15.15,15.14,15.32 | +| bench | 43.44,42.52,42.53,42.52,42.5,42.55,42.51,42.57,42.59,42.56,42.46 | +| countertop | 53.43,53.48,53.57,53.56,53.52,53.55,53.56,53.56,53.55,53.58,53.53 | +| stove | 69.89,69.6,69.59,69.57,69.61,69.62,69.59,69.62,69.59,69.6,69.5 | +| palm | 48.58,48.59,48.58,48.57,48.57,48.57,48.58,48.58,48.58,48.57,48.59 | +| kitchen island | 40.29,41.17,41.23,41.12,41.08,41.08,41.07,41.08,41.07,41.1,41.17 | +| computer | 59.23,59.71,59.8,59.8,59.81,59.8,59.8,59.81,59.8,59.79,59.87 | +| swivel chair | 42.64,43.96,43.99,44.01,44.06,44.01,44.01,44.08,44.09,44.01,43.97 | +| boat | 68.46,68.69,68.62,68.59,68.57,68.57,68.56,68.52,68.57,68.58,68.65 | +| bar | 23.74,23.87,23.85,23.84,23.82,23.86,23.85,23.88,23.86,23.85,23.86 | +| arcade machine | 70.29,71.62,71.79,71.84,71.86,71.88,71.91,71.86,71.86,71.92,71.76 | +| hovel | 30.6,29.44,29.36,29.23,29.18,29.1,29.09,29.04,29.01,29.06,29.72 | +| bus | 78.76,78.81,78.81,78.77,78.78,78.73,78.77,78.78,78.75,78.76,78.61 | +| towel | 61.87,61.45,61.51,61.54,61.52,61.52,61.53,61.49,61.5,61.52,61.6 | +| light | 53.88,53.63,53.65,53.72,53.65,53.78,53.72,53.73,53.68,53.69,53.76 | +| truck | 15.85,16.71,16.78,16.78,16.78,16.84,16.81,16.82,16.84,16.82,16.87 | +| tower | 7.93,8.18,8.24,8.25,8.26,8.28,8.26,8.27,8.27,8.28,8.27 | +| chandelier | 63.32,63.65,63.6,63.6,63.64,63.65,63.64,63.65,63.63,63.63,63.55 | +| awning | 22.4,23.56,23.62,23.65,23.63,23.62,23.68,23.67,23.65,23.63,23.96 | +| streetlight | 24.8,24.93,24.95,24.93,24.95,24.93,24.97,25.0,24.93,24.92,25.01 | +| booth | 42.17,42.78,42.91,42.91,42.88,42.91,42.93,42.85,42.8,42.86,42.79 | +| television receiver | 64.44,64.1,64.05,64.09,64.06,64.09,64.09,64.07,64.08,64.08,64.08 | +| airplane | 57.32,57.75,57.76,57.79,57.77,57.78,57.74,57.78,57.76,57.78,57.77 | +| dirt track | 16.88,18.26,18.46,18.58,18.79,18.87,18.83,18.83,18.83,18.96,17.86 | +| apparel | 32.71,33.23,33.23,33.26,33.2,33.18,33.22,33.26,33.19,33.19,33.11 | +| pole | 17.02,16.59,16.62,16.61,16.51,16.47,16.54,16.5,16.47,16.45,16.74 | +| land | 4.96,4.72,4.79,4.8,4.78,4.86,4.81,4.85,4.86,4.79,4.96 | +| bannister | 12.47,12.25,12.2,12.25,12.19,12.19,12.16,12.23,12.26,12.23,12.25 | +| escalator | 24.42,24.54,24.53,24.51,24.52,24.52,24.51,24.51,24.52,24.51,24.49 | +| ottoman | 42.16,42.5,42.58,42.57,42.6,42.62,42.62,42.64,42.63,42.64,42.69 | +| bottle | 35.36,35.38,35.34,35.3,35.26,35.35,35.32,35.36,35.3,35.29,35.52 | +| buffet | 38.08,38.86,39.0,39.01,38.96,39.03,39.17,39.0,39.03,39.0,39.05 | +| poster | 23.94,23.75,23.75,23.77,23.77,23.78,23.75,23.77,23.81,23.79,23.88 | +| stage | 12.71,12.03,12.03,12.03,12.0,12.01,11.99,12.02,12.05,12.04,12.01 | +| van | 38.55,38.97,38.92,38.97,38.97,38.98,38.96,38.91,38.94,38.95,38.94 | +| ship | 77.69,78.06,78.04,78.0,77.99,77.99,78.01,77.97,77.97,77.97,78.1 | +| fountain | 13.04,16.84,16.99,17.07,17.12,17.2,17.14,17.19,17.19,17.16,17.15 | +| conveyer belt | 84.69,84.28,84.19,84.18,84.2,84.27,84.18,84.22,84.21,84.21,84.19 | +| canopy | 23.48,23.58,23.66,23.7,23.63,23.69,23.76,23.64,23.78,23.75,23.76 | +| washer | 78.86,77.95,77.96,77.82,77.84,77.83,77.8,77.72,77.71,77.76,77.68 | +| plaything | 21.19,21.44,21.41,21.37,21.4,21.42,21.4,21.41,21.37,21.41,21.38 | +| swimming pool | 73.35,74.64,74.67,74.65,74.61,74.64,74.67,74.62,74.67,74.63,74.45 | +| stool | 42.18,43.48,43.48,43.5,43.55,43.49,43.52,43.51,43.49,43.51,43.51 | +| barrel | 35.01,35.34,35.87,35.94,35.55,35.55,35.64,35.37,35.93,35.72,35.6 | +| basket | 24.2,24.33,24.35,24.34,24.35,24.33,24.33,24.35,24.34,24.35,24.34 | +| waterfall | 49.46,49.87,49.84,49.85,49.85,49.92,49.88,49.88,49.87,49.86,49.74 | +| tent | 95.21,95.04,95.01,95.01,95.02,95.01,95.0,95.0,95.01,95.01,95.0 | +| bag | 13.96,13.87,13.84,13.83,13.84,13.85,13.84,13.85,13.81,13.82,13.87 | +| minibike | 61.58,61.82,61.78,61.8,61.78,61.83,61.82,61.79,61.81,61.81,61.73 | +| cradle | 84.94,84.93,85.05,85.02,84.95,84.92,84.88,84.94,84.95,84.91,85.0 | +| oven | 47.81,48.08,48.03,48.07,48.05,48.04,48.04,48.04,48.03,48.04,47.97 | +| ball | 42.11,44.01,44.06,44.1,44.16,44.14,44.2,44.2,44.11,44.17,44.12 | +| food | 51.35,53.37,53.4,53.33,53.32,53.35,53.3,53.39,53.35,53.31,53.64 | +| step | 6.02,5.84,5.82,5.86,5.9,5.82,5.84,5.89,5.82,5.82,5.78 | +| tank | 51.69,52.29,52.33,52.32,52.3,52.33,52.39,52.35,52.41,52.36,52.39 | +| trade name | 28.18,28.77,28.9,28.86,28.94,28.88,28.94,28.92,28.83,28.89,28.77 | +| microwave | 74.98,75.76,75.78,75.76,75.77,75.77,75.85,75.83,75.82,75.81,76.07 | +| pot | 30.67,30.27,30.24,30.26,30.27,30.26,30.24,30.22,30.24,30.26,30.27 | +| animal | 53.72,54.3,54.38,54.33,54.35,54.36,54.33,54.36,54.33,54.36,54.42 | +| bicycle | 52.61,53.67,53.6,53.59,53.52,53.59,53.57,53.56,53.51,53.51,53.83 | +| lake | 57.9,57.9,57.93,57.94,57.93,57.94,57.92,57.94,57.94,57.93,57.96 | +| dishwasher | 67.15,66.66,66.61,66.6,66.65,66.64,66.67,66.62,66.65,66.64,66.71 | +| screen | 69.25,69.02,68.94,69.05,69.0,69.08,69.12,69.01,69.17,69.03,68.99 | +| blanket | 18.95,18.79,18.92,18.91,18.84,18.88,18.84,18.83,18.92,18.9,18.9 | +| sculpture | 57.87,56.75,56.81,56.98,56.99,56.79,56.83,56.85,56.96,56.85,56.88 | +| hood | 57.55,57.6,57.66,57.68,57.66,57.66,57.7,57.7,57.7,57.71,57.67 | +| sconce | 41.73,41.36,41.37,41.42,41.37,41.39,41.39,41.38,41.37,41.4,41.34 | +| vase | 36.3,36.48,36.48,36.41,36.38,36.33,36.35,36.31,36.34,36.36,36.71 | +| traffic light | 33.01,32.95,33.0,32.99,33.01,32.97,32.98,33.03,32.98,33.0,33.22 | +| tray | 5.55,6.26,6.29,6.28,6.32,6.28,6.26,6.31,6.27,6.26,6.06 | +| ashcan | 41.75,42.18,42.18,42.15,42.14,42.17,42.12,42.2,42.2,42.14,42.19 | +| fan | 58.56,58.52,58.48,58.4,58.42,58.41,58.45,58.44,58.4,58.42,58.73 | +| pier | 46.38,46.2,46.38,46.35,46.19,46.29,46.22,46.16,46.26,46.3,45.62 | +| crt screen | 8.57,8.62,8.6,8.55,8.55,8.53,8.54,8.56,8.54,8.57,8.22 | +| plate | 50.43,50.64,50.63,50.62,50.63,50.62,50.57,50.65,50.64,50.63,50.66 | +| monitor | 21.18,21.0,20.99,21.06,21.0,21.07,21.09,20.98,21.06,21.01,21.04 | +| bulletin board | 38.39,38.45,38.53,38.57,38.62,38.71,38.76,38.71,38.7,38.64,38.3 | +| shower | 1.26,1.3,1.29,1.3,1.28,1.31,1.32,1.29,1.32,1.29,1.33 | +| radiator | 61.04,62.49,62.66,62.65,62.66,62.65,62.62,62.6,62.61,62.59,62.39 | +| glass | 13.45,12.6,12.57,12.54,12.54,12.57,12.55,12.59,12.56,12.56,12.58 | +| clock | 32.48,32.51,32.5,32.46,32.45,32.5,32.46,32.45,32.46,32.51,32.77 | +| flag | 33.81,34.28,34.31,34.34,34.33,34.33,34.32,34.38,34.32,34.33,34.35 | ++---------------------+-------------------------------------------------------------------+ +2023-03-04 22:57:15,072 - mmseg - INFO - Summary: +2023-03-04 22:57:15,072 - mmseg - INFO - ++-------------------------------------------------------------------+ +| mIoU 0,10,20,30,40,50,60,70,80,90,99 | ++-------------------------------------------------------------------+ +| 47.92,48.13,48.15,48.15,48.14,48.15,48.15,48.14,48.15,48.14,48.15 | ++-------------------------------------------------------------------+ +2023-03-04 22:57:16,069 - mmseg - INFO - Now best checkpoint is saved as best_mIoU_iter_16000.pth. +2023-03-04 22:57:16,069 - mmseg - INFO - Best mIoU is 0.4815 at 16000 iter. +2023-03-04 22:57:16,069 - mmseg - INFO - Exp name: ablation_segformer_mit_b2_segformer_head_unet_fc_small_multi_step_ade_pretrained_freeze_embed_160k_ade20k151_mask_finetune_maskonly.py +2023-03-04 22:57:16,069 - mmseg - INFO - Iter(val) [250] mIoU: [0.4792, 0.4813, 0.4815, 0.4815, 0.4814, 0.4815, 0.4815, 0.4814, 0.4815, 0.4814, 0.4815], copy_paste: 47.92,48.13,48.15,48.15,48.14,48.15,48.15,48.14,48.15,48.14,48.15 +2023-03-04 22:57:16,075 - mmseg - INFO - Swap parameters (before train) before iter [16001] +2023-03-04 22:57:26,144 - mmseg - INFO - Iter [16050/160000] lr: 1.500e-04, eta: 9:56:25, time: 16.622, data_time: 16.429, memory: 52540, decode.loss_ce: 0.2182, decode.acc_seg: 91.0363, loss: 0.2182 +2023-03-04 22:57:35,965 - mmseg - INFO - Iter [16100/160000] lr: 1.500e-04, eta: 9:55:49, time: 0.196, data_time: 0.007, memory: 52540, decode.loss_ce: 0.2188, decode.acc_seg: 91.1259, loss: 0.2188 +2023-03-04 22:57:45,623 - mmseg - INFO - Iter [16150/160000] lr: 1.500e-04, eta: 9:55:12, time: 0.193, data_time: 0.007, memory: 52540, decode.loss_ce: 0.2238, decode.acc_seg: 90.9870, loss: 0.2238 +2023-03-04 22:57:55,388 - mmseg - INFO - Iter [16200/160000] lr: 1.500e-04, eta: 9:54:36, time: 0.195, data_time: 0.007, memory: 52540, decode.loss_ce: 0.2112, decode.acc_seg: 91.3551, loss: 0.2112 +2023-03-04 22:58:05,147 - mmseg - INFO - Iter [16250/160000] lr: 1.500e-04, eta: 9:54:00, time: 0.195, data_time: 0.007, memory: 52540, decode.loss_ce: 0.2092, decode.acc_seg: 91.4369, loss: 0.2092 +2023-03-04 22:58:14,865 - mmseg - INFO - Iter [16300/160000] lr: 1.500e-04, eta: 9:53:24, time: 0.194, data_time: 0.007, memory: 52540, decode.loss_ce: 0.2112, decode.acc_seg: 91.4489, loss: 0.2112 +2023-03-04 22:58:24,932 - mmseg - INFO - Iter [16350/160000] lr: 1.500e-04, eta: 9:52:52, time: 0.201, data_time: 0.007, memory: 52540, decode.loss_ce: 0.2170, decode.acc_seg: 91.1928, loss: 0.2170 +2023-03-04 22:58:34,868 - mmseg - INFO - Iter [16400/160000] lr: 1.500e-04, eta: 9:52:18, time: 0.199, data_time: 0.007, memory: 52540, decode.loss_ce: 0.2079, decode.acc_seg: 91.4475, loss: 0.2079 +2023-03-04 22:58:47,175 - mmseg - INFO - Iter [16450/160000] lr: 1.500e-04, eta: 9:52:05, time: 0.246, data_time: 0.055, memory: 52540, decode.loss_ce: 0.2084, decode.acc_seg: 91.4820, loss: 0.2084 +2023-03-04 22:58:56,776 - mmseg - INFO - Iter [16500/160000] lr: 1.500e-04, eta: 9:51:28, time: 0.192, data_time: 0.007, memory: 52540, decode.loss_ce: 0.2169, decode.acc_seg: 91.2418, loss: 0.2169 +2023-03-04 22:59:06,416 - mmseg - INFO - Iter [16550/160000] lr: 1.500e-04, eta: 9:50:52, time: 0.193, data_time: 0.007, memory: 52540, decode.loss_ce: 0.2132, decode.acc_seg: 91.4054, loss: 0.2132 +2023-03-04 22:59:16,175 - mmseg - INFO - Iter [16600/160000] lr: 1.500e-04, eta: 9:50:18, time: 0.195, data_time: 0.007, memory: 52540, decode.loss_ce: 0.2048, decode.acc_seg: 91.6254, loss: 0.2048 +2023-03-04 22:59:25,803 - mmseg - INFO - Iter [16650/160000] lr: 1.500e-04, eta: 9:49:42, time: 0.193, data_time: 0.007, memory: 52540, decode.loss_ce: 0.2191, decode.acc_seg: 90.9828, loss: 0.2191 +2023-03-04 22:59:35,563 - mmseg - INFO - Iter [16700/160000] lr: 1.500e-04, eta: 9:49:07, time: 0.195, data_time: 0.007, memory: 52540, decode.loss_ce: 0.2075, decode.acc_seg: 91.4748, loss: 0.2075 +2023-03-04 22:59:45,219 - mmseg - INFO - Iter [16750/160000] lr: 1.500e-04, eta: 9:48:32, time: 0.193, data_time: 0.007, memory: 52540, decode.loss_ce: 0.2201, decode.acc_seg: 91.0761, loss: 0.2201 +2023-03-04 22:59:54,812 - mmseg - INFO - Iter [16800/160000] lr: 1.500e-04, eta: 9:47:56, time: 0.192, data_time: 0.007, memory: 52540, decode.loss_ce: 0.2094, decode.acc_seg: 91.3770, loss: 0.2094 +2023-03-04 23:00:04,479 - mmseg - INFO - Iter [16850/160000] lr: 1.500e-04, eta: 9:47:22, time: 0.193, data_time: 0.007, memory: 52540, decode.loss_ce: 0.2093, decode.acc_seg: 91.4555, loss: 0.2093 +2023-03-04 23:00:14,000 - mmseg - INFO - Iter [16900/160000] lr: 1.500e-04, eta: 9:46:46, time: 0.190, data_time: 0.007, memory: 52540, decode.loss_ce: 0.2104, decode.acc_seg: 91.4138, loss: 0.2104 +2023-03-04 23:00:23,500 - mmseg - INFO - Iter [16950/160000] lr: 1.500e-04, eta: 9:46:10, time: 0.190, data_time: 0.007, memory: 52540, decode.loss_ce: 0.2149, decode.acc_seg: 91.2748, loss: 0.2149 +2023-03-04 23:00:33,195 - mmseg - INFO - Exp name: ablation_segformer_mit_b2_segformer_head_unet_fc_small_multi_step_ade_pretrained_freeze_embed_160k_ade20k151_mask_finetune_maskonly.py +2023-03-04 23:00:33,195 - mmseg - INFO - Iter [17000/160000] lr: 1.500e-04, eta: 9:45:36, time: 0.194, data_time: 0.007, memory: 52540, decode.loss_ce: 0.2171, decode.acc_seg: 91.3202, loss: 0.2171 +2023-03-04 23:00:45,350 - mmseg - INFO - Iter [17050/160000] lr: 1.500e-04, eta: 9:45:22, time: 0.243, data_time: 0.055, memory: 52540, decode.loss_ce: 0.2137, decode.acc_seg: 91.1900, loss: 0.2137 +2023-03-04 23:00:54,900 - mmseg - INFO - Iter [17100/160000] lr: 1.500e-04, eta: 9:44:47, time: 0.191, data_time: 0.007, memory: 52540, decode.loss_ce: 0.2087, decode.acc_seg: 91.5454, loss: 0.2087 +2023-03-04 23:01:04,549 - mmseg - INFO - Iter [17150/160000] lr: 1.500e-04, eta: 9:44:13, time: 0.193, data_time: 0.007, memory: 52540, decode.loss_ce: 0.2117, decode.acc_seg: 91.5358, loss: 0.2117 +2023-03-04 23:01:14,097 - mmseg - INFO - Iter [17200/160000] lr: 1.500e-04, eta: 9:43:38, time: 0.191, data_time: 0.008, memory: 52540, decode.loss_ce: 0.2095, decode.acc_seg: 91.3684, loss: 0.2095 +2023-03-04 23:01:23,743 - mmseg - INFO - Iter [17250/160000] lr: 1.500e-04, eta: 9:43:04, time: 0.193, data_time: 0.007, memory: 52540, decode.loss_ce: 0.2108, decode.acc_seg: 91.4395, loss: 0.2108 +2023-03-04 23:01:33,475 - mmseg - INFO - Iter [17300/160000] lr: 1.500e-04, eta: 9:42:31, time: 0.194, data_time: 0.007, memory: 52540, decode.loss_ce: 0.2161, decode.acc_seg: 91.2869, loss: 0.2161 +2023-03-04 23:01:43,152 - mmseg - INFO - Iter [17350/160000] lr: 1.500e-04, eta: 9:41:58, time: 0.194, data_time: 0.008, memory: 52540, decode.loss_ce: 0.2092, decode.acc_seg: 91.4648, loss: 0.2092 +2023-03-04 23:01:52,738 - mmseg - INFO - Iter [17400/160000] lr: 1.500e-04, eta: 9:41:24, time: 0.192, data_time: 0.007, memory: 52540, decode.loss_ce: 0.2105, decode.acc_seg: 91.3814, loss: 0.2105 +2023-03-04 23:02:02,431 - mmseg - INFO - Iter [17450/160000] lr: 1.500e-04, eta: 9:40:51, time: 0.194, data_time: 0.007, memory: 52540, decode.loss_ce: 0.2078, decode.acc_seg: 91.4507, loss: 0.2078 +2023-03-04 23:02:11,901 - mmseg - INFO - Iter [17500/160000] lr: 1.500e-04, eta: 9:40:16, time: 0.189, data_time: 0.007, memory: 52540, decode.loss_ce: 0.2188, decode.acc_seg: 91.1191, loss: 0.2188 +2023-03-04 23:02:21,442 - mmseg - INFO - Iter [17550/160000] lr: 1.500e-04, eta: 9:39:42, time: 0.191, data_time: 0.008, memory: 52540, decode.loss_ce: 0.2136, decode.acc_seg: 91.3989, loss: 0.2136 +2023-03-04 23:02:31,273 - mmseg - INFO - Iter [17600/160000] lr: 1.500e-04, eta: 9:39:11, time: 0.197, data_time: 0.007, memory: 52540, decode.loss_ce: 0.2113, decode.acc_seg: 91.3442, loss: 0.2113 +2023-03-04 23:02:41,077 - mmseg - INFO - Iter [17650/160000] lr: 1.500e-04, eta: 9:38:39, time: 0.196, data_time: 0.007, memory: 52540, decode.loss_ce: 0.2082, decode.acc_seg: 91.3404, loss: 0.2082 +2023-03-04 23:02:53,215 - mmseg - INFO - Iter [17700/160000] lr: 1.500e-04, eta: 9:38:26, time: 0.243, data_time: 0.055, memory: 52540, decode.loss_ce: 0.2186, decode.acc_seg: 91.2820, loss: 0.2186 +2023-03-04 23:03:02,779 - mmseg - INFO - Iter [17750/160000] lr: 1.500e-04, eta: 9:37:53, time: 0.191, data_time: 0.007, memory: 52540, decode.loss_ce: 0.2111, decode.acc_seg: 91.5057, loss: 0.2111 +2023-03-04 23:03:12,430 - mmseg - INFO - Iter [17800/160000] lr: 1.500e-04, eta: 9:37:21, time: 0.193, data_time: 0.007, memory: 52540, decode.loss_ce: 0.2038, decode.acc_seg: 91.6655, loss: 0.2038 +2023-03-04 23:03:22,393 - mmseg - INFO - Iter [17850/160000] lr: 1.500e-04, eta: 9:36:51, time: 0.199, data_time: 0.007, memory: 52540, decode.loss_ce: 0.2091, decode.acc_seg: 91.3853, loss: 0.2091 +2023-03-04 23:03:32,072 - mmseg - INFO - Iter [17900/160000] lr: 1.500e-04, eta: 9:36:19, time: 0.194, data_time: 0.007, memory: 52540, decode.loss_ce: 0.2130, decode.acc_seg: 91.5084, loss: 0.2130 +2023-03-04 23:03:41,696 - mmseg - INFO - Iter [17950/160000] lr: 1.500e-04, eta: 9:35:47, time: 0.192, data_time: 0.007, memory: 52540, decode.loss_ce: 0.2097, decode.acc_seg: 91.4981, loss: 0.2097 +2023-03-04 23:03:51,795 - mmseg - INFO - Exp name: ablation_segformer_mit_b2_segformer_head_unet_fc_small_multi_step_ade_pretrained_freeze_embed_160k_ade20k151_mask_finetune_maskonly.py +2023-03-04 23:03:51,795 - mmseg - INFO - Iter [18000/160000] lr: 1.500e-04, eta: 9:35:18, time: 0.202, data_time: 0.007, memory: 52540, decode.loss_ce: 0.2103, decode.acc_seg: 91.3096, loss: 0.2103 +2023-03-04 23:04:01,361 - mmseg - INFO - Iter [18050/160000] lr: 1.500e-04, eta: 9:34:46, time: 0.191, data_time: 0.007, memory: 52540, decode.loss_ce: 0.2143, decode.acc_seg: 91.2166, loss: 0.2143 +2023-03-04 23:04:11,251 - mmseg - INFO - Iter [18100/160000] lr: 1.500e-04, eta: 9:34:16, time: 0.198, data_time: 0.007, memory: 52540, decode.loss_ce: 0.2120, decode.acc_seg: 91.3421, loss: 0.2120 +2023-03-04 23:04:20,762 - mmseg - INFO - Iter [18150/160000] lr: 1.500e-04, eta: 9:33:43, time: 0.190, data_time: 0.007, memory: 52540, decode.loss_ce: 0.2116, decode.acc_seg: 91.3939, loss: 0.2116 +2023-03-04 23:04:30,439 - mmseg - INFO - Iter [18200/160000] lr: 1.500e-04, eta: 9:33:12, time: 0.194, data_time: 0.007, memory: 52540, decode.loss_ce: 0.2119, decode.acc_seg: 91.2871, loss: 0.2119 +2023-03-04 23:04:39,984 - mmseg - INFO - Iter [18250/160000] lr: 1.500e-04, eta: 9:32:40, time: 0.191, data_time: 0.007, memory: 52540, decode.loss_ce: 0.2066, decode.acc_seg: 91.4552, loss: 0.2066 +2023-03-04 23:04:51,985 - mmseg - INFO - Iter [18300/160000] lr: 1.500e-04, eta: 9:32:27, time: 0.240, data_time: 0.055, memory: 52540, decode.loss_ce: 0.2037, decode.acc_seg: 91.6740, loss: 0.2037 +2023-03-04 23:05:01,501 - mmseg - INFO - Iter [18350/160000] lr: 1.500e-04, eta: 9:31:54, time: 0.190, data_time: 0.007, memory: 52540, decode.loss_ce: 0.2140, decode.acc_seg: 91.3728, loss: 0.2140 +2023-03-04 23:05:11,270 - mmseg - INFO - Iter [18400/160000] lr: 1.500e-04, eta: 9:31:24, time: 0.195, data_time: 0.007, memory: 52540, decode.loss_ce: 0.2137, decode.acc_seg: 91.3552, loss: 0.2137 +2023-03-04 23:05:20,817 - mmseg - INFO - Iter [18450/160000] lr: 1.500e-04, eta: 9:30:53, time: 0.191, data_time: 0.007, memory: 52540, decode.loss_ce: 0.2011, decode.acc_seg: 91.8363, loss: 0.2011 +2023-03-04 23:05:30,343 - mmseg - INFO - Iter [18500/160000] lr: 1.500e-04, eta: 9:30:21, time: 0.191, data_time: 0.007, memory: 52540, decode.loss_ce: 0.2129, decode.acc_seg: 91.2503, loss: 0.2129 +2023-03-04 23:05:40,024 - mmseg - INFO - Iter [18550/160000] lr: 1.500e-04, eta: 9:29:50, time: 0.194, data_time: 0.007, memory: 52540, decode.loss_ce: 0.2050, decode.acc_seg: 91.4429, loss: 0.2050 +2023-03-04 23:05:49,706 - mmseg - INFO - Iter [18600/160000] lr: 1.500e-04, eta: 9:29:20, time: 0.194, data_time: 0.007, memory: 52540, decode.loss_ce: 0.2105, decode.acc_seg: 91.3879, loss: 0.2105 +2023-03-04 23:05:59,432 - mmseg - INFO - Iter [18650/160000] lr: 1.500e-04, eta: 9:28:50, time: 0.194, data_time: 0.008, memory: 52540, decode.loss_ce: 0.2152, decode.acc_seg: 91.1266, loss: 0.2152 +2023-03-04 23:06:09,237 - mmseg - INFO - Iter [18700/160000] lr: 1.500e-04, eta: 9:28:21, time: 0.196, data_time: 0.007, memory: 52540, decode.loss_ce: 0.2153, decode.acc_seg: 91.2497, loss: 0.2153 +2023-03-04 23:06:19,098 - mmseg - INFO - Iter [18750/160000] lr: 1.500e-04, eta: 9:27:52, time: 0.197, data_time: 0.008, memory: 52540, decode.loss_ce: 0.2084, decode.acc_seg: 91.3957, loss: 0.2084 +2023-03-04 23:06:28,807 - mmseg - INFO - Iter [18800/160000] lr: 1.500e-04, eta: 9:27:22, time: 0.194, data_time: 0.007, memory: 52540, decode.loss_ce: 0.2131, decode.acc_seg: 91.2358, loss: 0.2131 +2023-03-04 23:06:38,731 - mmseg - INFO - Iter [18850/160000] lr: 1.500e-04, eta: 9:26:54, time: 0.198, data_time: 0.007, memory: 52540, decode.loss_ce: 0.2080, decode.acc_seg: 91.4577, loss: 0.2080 +2023-03-04 23:06:48,330 - mmseg - INFO - Iter [18900/160000] lr: 1.500e-04, eta: 9:26:24, time: 0.192, data_time: 0.007, memory: 52540, decode.loss_ce: 0.2149, decode.acc_seg: 91.2051, loss: 0.2149 +2023-03-04 23:07:00,493 - mmseg - INFO - Iter [18950/160000] lr: 1.500e-04, eta: 9:26:13, time: 0.243, data_time: 0.054, memory: 52540, decode.loss_ce: 0.2044, decode.acc_seg: 91.7316, loss: 0.2044 +2023-03-04 23:07:10,096 - mmseg - INFO - Exp name: ablation_segformer_mit_b2_segformer_head_unet_fc_small_multi_step_ade_pretrained_freeze_embed_160k_ade20k151_mask_finetune_maskonly.py +2023-03-04 23:07:10,096 - mmseg - INFO - Iter [19000/160000] lr: 1.500e-04, eta: 9:25:43, time: 0.192, data_time: 0.007, memory: 52540, decode.loss_ce: 0.2095, decode.acc_seg: 91.4379, loss: 0.2095 +2023-03-04 23:07:20,127 - mmseg - INFO - Iter [19050/160000] lr: 1.500e-04, eta: 9:25:16, time: 0.201, data_time: 0.007, memory: 52540, decode.loss_ce: 0.2114, decode.acc_seg: 91.2630, loss: 0.2114 +2023-03-04 23:07:29,660 - mmseg - INFO - Iter [19100/160000] lr: 1.500e-04, eta: 9:24:45, time: 0.191, data_time: 0.007, memory: 52540, decode.loss_ce: 0.2134, decode.acc_seg: 91.3442, loss: 0.2134 +2023-03-04 23:07:39,200 - mmseg - INFO - Iter [19150/160000] lr: 1.500e-04, eta: 9:24:15, time: 0.191, data_time: 0.007, memory: 52540, decode.loss_ce: 0.2132, decode.acc_seg: 91.4158, loss: 0.2132 +2023-03-04 23:07:48,922 - mmseg - INFO - Iter [19200/160000] lr: 1.500e-04, eta: 9:23:46, time: 0.195, data_time: 0.007, memory: 52540, decode.loss_ce: 0.2067, decode.acc_seg: 91.5088, loss: 0.2067 +2023-03-04 23:07:58,556 - mmseg - INFO - Iter [19250/160000] lr: 1.500e-04, eta: 9:23:17, time: 0.193, data_time: 0.007, memory: 52540, decode.loss_ce: 0.2153, decode.acc_seg: 91.3124, loss: 0.2153 +2023-03-04 23:08:08,047 - mmseg - INFO - Iter [19300/160000] lr: 1.500e-04, eta: 9:22:46, time: 0.190, data_time: 0.007, memory: 52540, decode.loss_ce: 0.2115, decode.acc_seg: 91.2924, loss: 0.2115 +2023-03-04 23:08:17,620 - mmseg - INFO - Iter [19350/160000] lr: 1.500e-04, eta: 9:22:17, time: 0.192, data_time: 0.007, memory: 52540, decode.loss_ce: 0.2029, decode.acc_seg: 91.7198, loss: 0.2029 +2023-03-04 23:08:27,288 - mmseg - INFO - Iter [19400/160000] lr: 1.500e-04, eta: 9:21:48, time: 0.193, data_time: 0.007, memory: 52540, decode.loss_ce: 0.2148, decode.acc_seg: 91.3799, loss: 0.2148 +2023-03-04 23:08:36,859 - mmseg - INFO - Iter [19450/160000] lr: 1.500e-04, eta: 9:21:18, time: 0.191, data_time: 0.007, memory: 52540, decode.loss_ce: 0.2124, decode.acc_seg: 91.3227, loss: 0.2124 +2023-03-04 23:08:46,535 - mmseg - INFO - Iter [19500/160000] lr: 1.500e-04, eta: 9:20:50, time: 0.194, data_time: 0.007, memory: 52540, decode.loss_ce: 0.2142, decode.acc_seg: 91.2438, loss: 0.2142 +2023-03-04 23:08:56,325 - mmseg - INFO - Iter [19550/160000] lr: 1.500e-04, eta: 9:20:22, time: 0.196, data_time: 0.007, memory: 52540, decode.loss_ce: 0.2135, decode.acc_seg: 91.2916, loss: 0.2135 +2023-03-04 23:09:08,612 - mmseg - INFO - Iter [19600/160000] lr: 1.500e-04, eta: 9:20:13, time: 0.246, data_time: 0.057, memory: 52540, decode.loss_ce: 0.2049, decode.acc_seg: 91.6063, loss: 0.2049 +2023-03-04 23:09:18,516 - mmseg - INFO - Iter [19650/160000] lr: 1.500e-04, eta: 9:19:46, time: 0.198, data_time: 0.007, memory: 52540, decode.loss_ce: 0.2177, decode.acc_seg: 91.1083, loss: 0.2177 +2023-03-04 23:09:28,253 - mmseg - INFO - Iter [19700/160000] lr: 1.500e-04, eta: 9:19:18, time: 0.195, data_time: 0.007, memory: 52540, decode.loss_ce: 0.2092, decode.acc_seg: 91.3794, loss: 0.2092 +2023-03-04 23:09:37,814 - mmseg - INFO - Iter [19750/160000] lr: 1.500e-04, eta: 9:18:49, time: 0.191, data_time: 0.007, memory: 52540, decode.loss_ce: 0.2066, decode.acc_seg: 91.5763, loss: 0.2066 +2023-03-04 23:09:47,461 - mmseg - INFO - Iter [19800/160000] lr: 1.500e-04, eta: 9:18:21, time: 0.193, data_time: 0.007, memory: 52540, decode.loss_ce: 0.2080, decode.acc_seg: 91.5733, loss: 0.2080 +2023-03-04 23:09:57,056 - mmseg - INFO - Iter [19850/160000] lr: 1.500e-04, eta: 9:17:52, time: 0.192, data_time: 0.007, memory: 52540, decode.loss_ce: 0.2071, decode.acc_seg: 91.4820, loss: 0.2071 +2023-03-04 23:10:06,834 - mmseg - INFO - Iter [19900/160000] lr: 1.500e-04, eta: 9:17:25, time: 0.196, data_time: 0.007, memory: 52540, decode.loss_ce: 0.2032, decode.acc_seg: 91.5867, loss: 0.2032 +2023-03-04 23:10:16,429 - mmseg - INFO - Iter [19950/160000] lr: 1.500e-04, eta: 9:16:57, time: 0.192, data_time: 0.007, memory: 52540, decode.loss_ce: 0.2124, decode.acc_seg: 91.3079, loss: 0.2124 +2023-03-04 23:10:25,928 - mmseg - INFO - Exp name: ablation_segformer_mit_b2_segformer_head_unet_fc_small_multi_step_ade_pretrained_freeze_embed_160k_ade20k151_mask_finetune_maskonly.py +2023-03-04 23:10:25,928 - mmseg - INFO - Iter [20000/160000] lr: 1.500e-04, eta: 9:16:28, time: 0.190, data_time: 0.007, memory: 52540, decode.loss_ce: 0.2100, decode.acc_seg: 91.4273, loss: 0.2100 +2023-03-04 23:10:35,545 - mmseg - INFO - Iter [20050/160000] lr: 7.500e-05, eta: 9:16:00, time: 0.192, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1996, decode.acc_seg: 91.6614, loss: 0.1996 +2023-03-04 23:10:45,495 - mmseg - INFO - Iter [20100/160000] lr: 7.500e-05, eta: 9:15:34, time: 0.199, data_time: 0.007, memory: 52540, decode.loss_ce: 0.2104, decode.acc_seg: 91.5160, loss: 0.2104 +2023-03-04 23:10:54,980 - mmseg - INFO - Iter [20150/160000] lr: 7.500e-05, eta: 9:15:05, time: 0.190, data_time: 0.007, memory: 52540, decode.loss_ce: 0.2044, decode.acc_seg: 91.6768, loss: 0.2044 +2023-03-04 23:11:07,086 - mmseg - INFO - Iter [20200/160000] lr: 7.500e-05, eta: 9:14:55, time: 0.242, data_time: 0.057, memory: 52540, decode.loss_ce: 0.2012, decode.acc_seg: 91.8299, loss: 0.2012 +2023-03-04 23:11:16,798 - mmseg - INFO - Iter [20250/160000] lr: 7.500e-05, eta: 9:14:28, time: 0.194, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1993, decode.acc_seg: 91.7511, loss: 0.1993 +2023-03-04 23:11:26,484 - mmseg - INFO - Iter [20300/160000] lr: 7.500e-05, eta: 9:14:00, time: 0.194, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1984, decode.acc_seg: 91.8922, loss: 0.1984 +2023-03-04 23:11:36,294 - mmseg - INFO - Iter [20350/160000] lr: 7.500e-05, eta: 9:13:34, time: 0.196, data_time: 0.007, memory: 52540, decode.loss_ce: 0.2013, decode.acc_seg: 91.7759, loss: 0.2013 +2023-03-04 23:11:45,717 - mmseg - INFO - Iter [20400/160000] lr: 7.500e-05, eta: 9:13:05, time: 0.188, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1941, decode.acc_seg: 92.1181, loss: 0.1941 +2023-03-04 23:11:55,161 - mmseg - INFO - Iter [20450/160000] lr: 7.500e-05, eta: 9:12:37, time: 0.189, data_time: 0.007, memory: 52540, decode.loss_ce: 0.2012, decode.acc_seg: 91.7954, loss: 0.2012 +2023-03-04 23:12:04,609 - mmseg - INFO - Iter [20500/160000] lr: 7.500e-05, eta: 9:12:08, time: 0.189, data_time: 0.007, memory: 52540, decode.loss_ce: 0.2006, decode.acc_seg: 91.6687, loss: 0.2006 +2023-03-04 23:12:14,112 - mmseg - INFO - Iter [20550/160000] lr: 7.500e-05, eta: 9:11:40, time: 0.190, data_time: 0.007, memory: 52540, decode.loss_ce: 0.2053, decode.acc_seg: 91.5505, loss: 0.2053 +2023-03-04 23:12:23,556 - mmseg - INFO - Iter [20600/160000] lr: 7.500e-05, eta: 9:11:12, time: 0.189, data_time: 0.007, memory: 52540, decode.loss_ce: 0.2054, decode.acc_seg: 91.7148, loss: 0.2054 +2023-03-04 23:12:33,011 - mmseg - INFO - Iter [20650/160000] lr: 7.500e-05, eta: 9:10:44, time: 0.189, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1988, decode.acc_seg: 91.8382, loss: 0.1988 +2023-03-04 23:12:42,945 - mmseg - INFO - Iter [20700/160000] lr: 7.500e-05, eta: 9:10:19, time: 0.199, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1992, decode.acc_seg: 91.7598, loss: 0.1992 +2023-03-04 23:12:52,717 - mmseg - INFO - Iter [20750/160000] lr: 7.500e-05, eta: 9:09:53, time: 0.195, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1956, decode.acc_seg: 91.9543, loss: 0.1956 +2023-03-04 23:13:02,371 - mmseg - INFO - Iter [20800/160000] lr: 7.500e-05, eta: 9:09:27, time: 0.193, data_time: 0.007, memory: 52540, decode.loss_ce: 0.2006, decode.acc_seg: 91.8635, loss: 0.2006 +2023-03-04 23:13:14,389 - mmseg - INFO - Iter [20850/160000] lr: 7.500e-05, eta: 9:09:16, time: 0.240, data_time: 0.057, memory: 52540, decode.loss_ce: 0.2009, decode.acc_seg: 91.6474, loss: 0.2009 +2023-03-04 23:13:23,983 - mmseg - INFO - Iter [20900/160000] lr: 7.500e-05, eta: 9:08:49, time: 0.192, data_time: 0.007, memory: 52540, decode.loss_ce: 0.2014, decode.acc_seg: 91.7977, loss: 0.2014 +2023-03-04 23:13:33,843 - mmseg - INFO - Iter [20950/160000] lr: 7.500e-05, eta: 9:08:24, time: 0.197, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1968, decode.acc_seg: 92.0516, loss: 0.1968 +2023-03-04 23:13:43,419 - mmseg - INFO - Exp name: ablation_segformer_mit_b2_segformer_head_unet_fc_small_multi_step_ade_pretrained_freeze_embed_160k_ade20k151_mask_finetune_maskonly.py +2023-03-04 23:13:43,419 - mmseg - INFO - Iter [21000/160000] lr: 7.500e-05, eta: 9:07:58, time: 0.192, data_time: 0.007, memory: 52540, decode.loss_ce: 0.2035, decode.acc_seg: 91.7171, loss: 0.2035 +2023-03-04 23:13:53,060 - mmseg - INFO - Iter [21050/160000] lr: 7.500e-05, eta: 9:07:31, time: 0.193, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1990, decode.acc_seg: 91.7846, loss: 0.1990 +2023-03-04 23:14:02,652 - mmseg - INFO - Iter [21100/160000] lr: 7.500e-05, eta: 9:07:05, time: 0.192, data_time: 0.007, memory: 52540, decode.loss_ce: 0.2081, decode.acc_seg: 91.6084, loss: 0.2081 +2023-03-04 23:14:12,133 - mmseg - INFO - Iter [21150/160000] lr: 7.500e-05, eta: 9:06:38, time: 0.190, data_time: 0.007, memory: 52540, decode.loss_ce: 0.2014, decode.acc_seg: 91.7778, loss: 0.2014 +2023-03-04 23:14:22,049 - mmseg - INFO - Iter [21200/160000] lr: 7.500e-05, eta: 9:06:14, time: 0.198, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1917, decode.acc_seg: 92.1211, loss: 0.1917 +2023-03-04 23:14:31,468 - mmseg - INFO - Iter [21250/160000] lr: 7.500e-05, eta: 9:05:46, time: 0.188, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1980, decode.acc_seg: 91.8587, loss: 0.1980 +2023-03-04 23:14:41,103 - mmseg - INFO - Iter [21300/160000] lr: 7.500e-05, eta: 9:05:20, time: 0.193, data_time: 0.007, memory: 52540, decode.loss_ce: 0.2068, decode.acc_seg: 91.5932, loss: 0.2068 +2023-03-04 23:14:50,634 - mmseg - INFO - Iter [21350/160000] lr: 7.500e-05, eta: 9:04:54, time: 0.191, data_time: 0.007, memory: 52540, decode.loss_ce: 0.2080, decode.acc_seg: 91.5060, loss: 0.2080 +2023-03-04 23:15:00,342 - mmseg - INFO - Iter [21400/160000] lr: 7.500e-05, eta: 9:04:29, time: 0.194, data_time: 0.007, memory: 52540, decode.loss_ce: 0.2023, decode.acc_seg: 91.6641, loss: 0.2023 +2023-03-04 23:15:09,764 - mmseg - INFO - Iter [21450/160000] lr: 7.500e-05, eta: 9:04:01, time: 0.188, data_time: 0.007, memory: 52540, decode.loss_ce: 0.2025, decode.acc_seg: 91.6961, loss: 0.2025 +2023-03-04 23:15:21,853 - mmseg - INFO - Iter [21500/160000] lr: 7.500e-05, eta: 9:03:52, time: 0.242, data_time: 0.054, memory: 52540, decode.loss_ce: 0.1993, decode.acc_seg: 91.7870, loss: 0.1993 +2023-03-04 23:15:31,476 - mmseg - INFO - Iter [21550/160000] lr: 7.500e-05, eta: 9:03:26, time: 0.192, data_time: 0.007, memory: 52540, decode.loss_ce: 0.2045, decode.acc_seg: 91.4478, loss: 0.2045 +2023-03-04 23:15:41,392 - mmseg - INFO - Iter [21600/160000] lr: 7.500e-05, eta: 9:03:02, time: 0.199, data_time: 0.007, memory: 52540, decode.loss_ce: 0.2010, decode.acc_seg: 91.7402, loss: 0.2010 +2023-03-04 23:15:50,971 - mmseg - INFO - Iter [21650/160000] lr: 7.500e-05, eta: 9:02:37, time: 0.192, data_time: 0.007, memory: 52540, decode.loss_ce: 0.2038, decode.acc_seg: 91.6881, loss: 0.2038 +2023-03-04 23:16:00,475 - mmseg - INFO - Iter [21700/160000] lr: 7.500e-05, eta: 9:02:10, time: 0.190, data_time: 0.007, memory: 52540, decode.loss_ce: 0.2105, decode.acc_seg: 91.3503, loss: 0.2105 +2023-03-04 23:16:10,162 - mmseg - INFO - Iter [21750/160000] lr: 7.500e-05, eta: 9:01:45, time: 0.194, data_time: 0.007, memory: 52540, decode.loss_ce: 0.2018, decode.acc_seg: 91.7197, loss: 0.2018 +2023-03-04 23:16:19,653 - mmseg - INFO - Iter [21800/160000] lr: 7.500e-05, eta: 9:01:19, time: 0.190, data_time: 0.007, memory: 52540, decode.loss_ce: 0.2009, decode.acc_seg: 91.8133, loss: 0.2009 +2023-03-04 23:16:29,183 - mmseg - INFO - Iter [21850/160000] lr: 7.500e-05, eta: 9:00:53, time: 0.190, data_time: 0.007, memory: 52540, decode.loss_ce: 0.2009, decode.acc_seg: 91.8381, loss: 0.2009 +2023-03-04 23:16:38,724 - mmseg - INFO - Iter [21900/160000] lr: 7.500e-05, eta: 9:00:28, time: 0.191, data_time: 0.007, memory: 52540, decode.loss_ce: 0.2000, decode.acc_seg: 91.9090, loss: 0.2000 +2023-03-04 23:16:48,364 - mmseg - INFO - Iter [21950/160000] lr: 7.500e-05, eta: 9:00:03, time: 0.193, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1984, decode.acc_seg: 91.8090, loss: 0.1984 +2023-03-04 23:16:58,150 - mmseg - INFO - Exp name: ablation_segformer_mit_b2_segformer_head_unet_fc_small_multi_step_ade_pretrained_freeze_embed_160k_ade20k151_mask_finetune_maskonly.py +2023-03-04 23:16:58,150 - mmseg - INFO - Iter [22000/160000] lr: 7.500e-05, eta: 8:59:39, time: 0.196, data_time: 0.007, memory: 52540, decode.loss_ce: 0.2077, decode.acc_seg: 91.5905, loss: 0.2077 +2023-03-04 23:17:07,687 - mmseg - INFO - Iter [22050/160000] lr: 7.500e-05, eta: 8:59:13, time: 0.191, data_time: 0.007, memory: 52540, decode.loss_ce: 0.2055, decode.acc_seg: 91.5557, loss: 0.2055 +2023-03-04 23:17:19,705 - mmseg - INFO - Iter [22100/160000] lr: 7.500e-05, eta: 8:59:04, time: 0.240, data_time: 0.056, memory: 52540, decode.loss_ce: 0.2004, decode.acc_seg: 91.8515, loss: 0.2004 +2023-03-04 23:17:29,142 - mmseg - INFO - Iter [22150/160000] lr: 7.500e-05, eta: 8:58:38, time: 0.189, data_time: 0.007, memory: 52540, decode.loss_ce: 0.2059, decode.acc_seg: 91.6861, loss: 0.2059 +2023-03-04 23:17:38,616 - mmseg - INFO - Iter [22200/160000] lr: 7.500e-05, eta: 8:58:12, time: 0.189, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1978, decode.acc_seg: 91.7695, loss: 0.1978 +2023-03-04 23:17:48,359 - mmseg - INFO - Iter [22250/160000] lr: 7.500e-05, eta: 8:57:48, time: 0.195, data_time: 0.007, memory: 52540, decode.loss_ce: 0.2054, decode.acc_seg: 91.6393, loss: 0.2054 +2023-03-04 23:17:57,919 - mmseg - INFO - Iter [22300/160000] lr: 7.500e-05, eta: 8:57:23, time: 0.191, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1955, decode.acc_seg: 92.0593, loss: 0.1955 +2023-03-04 23:18:07,434 - mmseg - INFO - Iter [22350/160000] lr: 7.500e-05, eta: 8:56:58, time: 0.190, data_time: 0.007, memory: 52540, decode.loss_ce: 0.2009, decode.acc_seg: 91.7941, loss: 0.2009 +2023-03-04 23:18:17,317 - mmseg - INFO - Iter [22400/160000] lr: 7.500e-05, eta: 8:56:35, time: 0.198, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1981, decode.acc_seg: 91.8647, loss: 0.1981 +2023-03-04 23:18:26,744 - mmseg - INFO - Iter [22450/160000] lr: 7.500e-05, eta: 8:56:09, time: 0.189, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1964, decode.acc_seg: 91.8143, loss: 0.1964 +2023-03-04 23:18:36,237 - mmseg - INFO - Iter [22500/160000] lr: 7.500e-05, eta: 8:55:44, time: 0.190, data_time: 0.007, memory: 52540, decode.loss_ce: 0.2009, decode.acc_seg: 91.8087, loss: 0.2009 +2023-03-04 23:18:45,731 - mmseg - INFO - Iter [22550/160000] lr: 7.500e-05, eta: 8:55:19, time: 0.190, data_time: 0.007, memory: 52540, decode.loss_ce: 0.2057, decode.acc_seg: 91.6331, loss: 0.2057 +2023-03-04 23:18:55,269 - mmseg - INFO - Iter [22600/160000] lr: 7.500e-05, eta: 8:54:54, time: 0.191, data_time: 0.007, memory: 52540, decode.loss_ce: 0.2140, decode.acc_seg: 91.3383, loss: 0.2140 +2023-03-04 23:19:04,812 - mmseg - INFO - Iter [22650/160000] lr: 7.500e-05, eta: 8:54:30, time: 0.191, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1999, decode.acc_seg: 91.9208, loss: 0.1999 +2023-03-04 23:19:14,455 - mmseg - INFO - Iter [22700/160000] lr: 7.500e-05, eta: 8:54:06, time: 0.193, data_time: 0.007, memory: 52540, decode.loss_ce: 0.2013, decode.acc_seg: 91.8225, loss: 0.2013 +2023-03-04 23:19:26,758 - mmseg - INFO - Iter [22750/160000] lr: 7.500e-05, eta: 8:53:58, time: 0.246, data_time: 0.058, memory: 52540, decode.loss_ce: 0.1998, decode.acc_seg: 91.8700, loss: 0.1998 +2023-03-04 23:19:36,172 - mmseg - INFO - Iter [22800/160000] lr: 7.500e-05, eta: 8:53:33, time: 0.188, data_time: 0.007, memory: 52540, decode.loss_ce: 0.2067, decode.acc_seg: 91.4670, loss: 0.2067 +2023-03-04 23:19:46,198 - mmseg - INFO - Iter [22850/160000] lr: 7.500e-05, eta: 8:53:11, time: 0.200, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1984, decode.acc_seg: 91.8560, loss: 0.1984 +2023-03-04 23:19:55,899 - mmseg - INFO - Iter [22900/160000] lr: 7.500e-05, eta: 8:52:48, time: 0.194, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1924, decode.acc_seg: 92.0702, loss: 0.1924 +2023-03-04 23:20:05,550 - mmseg - INFO - Iter [22950/160000] lr: 7.500e-05, eta: 8:52:24, time: 0.193, data_time: 0.007, memory: 52540, decode.loss_ce: 0.2022, decode.acc_seg: 91.7079, loss: 0.2022 +2023-03-04 23:20:15,278 - mmseg - INFO - Exp name: ablation_segformer_mit_b2_segformer_head_unet_fc_small_multi_step_ade_pretrained_freeze_embed_160k_ade20k151_mask_finetune_maskonly.py +2023-03-04 23:20:15,279 - mmseg - INFO - Iter [23000/160000] lr: 7.500e-05, eta: 8:52:01, time: 0.195, data_time: 0.007, memory: 52540, decode.loss_ce: 0.2003, decode.acc_seg: 91.7617, loss: 0.2003 +2023-03-04 23:20:24,802 - mmseg - INFO - Iter [23050/160000] lr: 7.500e-05, eta: 8:51:37, time: 0.190, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1973, decode.acc_seg: 91.9195, loss: 0.1973 +2023-03-04 23:20:34,224 - mmseg - INFO - Iter [23100/160000] lr: 7.500e-05, eta: 8:51:12, time: 0.188, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1997, decode.acc_seg: 91.9097, loss: 0.1997 +2023-03-04 23:20:43,835 - mmseg - INFO - Iter [23150/160000] lr: 7.500e-05, eta: 8:50:48, time: 0.192, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1923, decode.acc_seg: 92.0222, loss: 0.1923 +2023-03-04 23:20:53,634 - mmseg - INFO - Iter [23200/160000] lr: 7.500e-05, eta: 8:50:26, time: 0.196, data_time: 0.008, memory: 52540, decode.loss_ce: 0.2003, decode.acc_seg: 91.9667, loss: 0.2003 +2023-03-04 23:21:03,077 - mmseg - INFO - Iter [23250/160000] lr: 7.500e-05, eta: 8:50:01, time: 0.189, data_time: 0.007, memory: 52540, decode.loss_ce: 0.2035, decode.acc_seg: 91.7106, loss: 0.2035 +2023-03-04 23:21:13,643 - mmseg - INFO - Iter [23300/160000] lr: 7.500e-05, eta: 8:49:43, time: 0.211, data_time: 0.007, memory: 52540, decode.loss_ce: 0.2125, decode.acc_seg: 91.5679, loss: 0.2125 +2023-03-04 23:21:25,703 - mmseg - INFO - Iter [23350/160000] lr: 7.500e-05, eta: 8:49:34, time: 0.241, data_time: 0.053, memory: 52540, decode.loss_ce: 0.2012, decode.acc_seg: 91.7933, loss: 0.2012 +2023-03-04 23:21:35,686 - mmseg - INFO - Iter [23400/160000] lr: 7.500e-05, eta: 8:49:13, time: 0.200, data_time: 0.008, memory: 52540, decode.loss_ce: 0.2001, decode.acc_seg: 91.8534, loss: 0.2001 +2023-03-04 23:21:45,181 - mmseg - INFO - Iter [23450/160000] lr: 7.500e-05, eta: 8:48:49, time: 0.190, data_time: 0.007, memory: 52540, decode.loss_ce: 0.2021, decode.acc_seg: 91.7605, loss: 0.2021 +2023-03-04 23:21:54,850 - mmseg - INFO - Iter [23500/160000] lr: 7.500e-05, eta: 8:48:26, time: 0.193, data_time: 0.007, memory: 52540, decode.loss_ce: 0.2059, decode.acc_seg: 91.5538, loss: 0.2059 +2023-03-04 23:22:04,300 - mmseg - INFO - Iter [23550/160000] lr: 7.500e-05, eta: 8:48:02, time: 0.189, data_time: 0.007, memory: 52540, decode.loss_ce: 0.2070, decode.acc_seg: 91.5175, loss: 0.2070 +2023-03-04 23:22:13,809 - mmseg - INFO - Iter [23600/160000] lr: 7.500e-05, eta: 8:47:38, time: 0.190, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1936, decode.acc_seg: 92.0234, loss: 0.1936 +2023-03-04 23:22:23,638 - mmseg - INFO - Iter [23650/160000] lr: 7.500e-05, eta: 8:47:16, time: 0.197, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1978, decode.acc_seg: 91.9383, loss: 0.1978 +2023-03-04 23:22:33,393 - mmseg - INFO - Iter [23700/160000] lr: 7.500e-05, eta: 8:46:54, time: 0.195, data_time: 0.007, memory: 52540, decode.loss_ce: 0.2026, decode.acc_seg: 91.7106, loss: 0.2026 +2023-03-04 23:22:42,980 - mmseg - INFO - Iter [23750/160000] lr: 7.500e-05, eta: 8:46:31, time: 0.192, data_time: 0.007, memory: 52540, decode.loss_ce: 0.2049, decode.acc_seg: 91.5927, loss: 0.2049 +2023-03-04 23:22:52,673 - mmseg - INFO - Iter [23800/160000] lr: 7.500e-05, eta: 8:46:08, time: 0.194, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1986, decode.acc_seg: 91.8181, loss: 0.1986 +2023-03-04 23:23:02,108 - mmseg - INFO - Iter [23850/160000] lr: 7.500e-05, eta: 8:45:45, time: 0.189, data_time: 0.007, memory: 52540, decode.loss_ce: 0.2078, decode.acc_seg: 91.4853, loss: 0.2078 +2023-03-04 23:23:11,770 - mmseg - INFO - Iter [23900/160000] lr: 7.500e-05, eta: 8:45:22, time: 0.193, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1993, decode.acc_seg: 91.8310, loss: 0.1993 +2023-03-04 23:23:21,252 - mmseg - INFO - Iter [23950/160000] lr: 7.500e-05, eta: 8:44:59, time: 0.190, data_time: 0.007, memory: 52540, decode.loss_ce: 0.2045, decode.acc_seg: 91.4992, loss: 0.2045 +2023-03-04 23:23:33,224 - mmseg - INFO - Exp name: ablation_segformer_mit_b2_segformer_head_unet_fc_small_multi_step_ade_pretrained_freeze_embed_160k_ade20k151_mask_finetune_maskonly.py +2023-03-04 23:23:33,224 - mmseg - INFO - Iter [24000/160000] lr: 7.500e-05, eta: 8:44:49, time: 0.239, data_time: 0.057, memory: 52540, decode.loss_ce: 0.2053, decode.acc_seg: 91.6137, loss: 0.2053 +2023-03-04 23:23:42,796 - mmseg - INFO - Iter [24050/160000] lr: 7.500e-05, eta: 8:44:26, time: 0.191, data_time: 0.007, memory: 52540, decode.loss_ce: 0.2022, decode.acc_seg: 91.8683, loss: 0.2022 +2023-03-04 23:23:52,518 - mmseg - INFO - Iter [24100/160000] lr: 7.500e-05, eta: 8:44:04, time: 0.194, data_time: 0.007, memory: 52540, decode.loss_ce: 0.2028, decode.acc_seg: 91.6740, loss: 0.2028 +2023-03-04 23:24:02,092 - mmseg - INFO - Iter [24150/160000] lr: 7.500e-05, eta: 8:43:41, time: 0.191, data_time: 0.007, memory: 52540, decode.loss_ce: 0.2060, decode.acc_seg: 91.5641, loss: 0.2060 +2023-03-04 23:24:11,665 - mmseg - INFO - Iter [24200/160000] lr: 7.500e-05, eta: 8:43:19, time: 0.192, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1961, decode.acc_seg: 91.9100, loss: 0.1961 +2023-03-04 23:24:21,135 - mmseg - INFO - Iter [24250/160000] lr: 7.500e-05, eta: 8:42:55, time: 0.189, data_time: 0.007, memory: 52540, decode.loss_ce: 0.2002, decode.acc_seg: 91.8525, loss: 0.2002 +2023-03-04 23:24:31,113 - mmseg - INFO - Iter [24300/160000] lr: 7.500e-05, eta: 8:42:35, time: 0.200, data_time: 0.008, memory: 52540, decode.loss_ce: 0.2024, decode.acc_seg: 91.7689, loss: 0.2024 +2023-03-04 23:24:41,022 - mmseg - INFO - Iter [24350/160000] lr: 7.500e-05, eta: 8:42:14, time: 0.198, data_time: 0.007, memory: 52540, decode.loss_ce: 0.2047, decode.acc_seg: 91.6174, loss: 0.2047 +2023-03-04 23:24:50,479 - mmseg - INFO - Iter [24400/160000] lr: 7.500e-05, eta: 8:41:51, time: 0.189, data_time: 0.007, memory: 52540, decode.loss_ce: 0.2024, decode.acc_seg: 91.7101, loss: 0.2024 +2023-03-04 23:24:59,986 - mmseg - INFO - Iter [24450/160000] lr: 7.500e-05, eta: 8:41:28, time: 0.190, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1963, decode.acc_seg: 91.9726, loss: 0.1963 +2023-03-04 23:25:09,585 - mmseg - INFO - Iter [24500/160000] lr: 7.500e-05, eta: 8:41:06, time: 0.192, data_time: 0.007, memory: 52540, decode.loss_ce: 0.2022, decode.acc_seg: 91.7979, loss: 0.2022 +2023-03-04 23:25:19,559 - mmseg - INFO - Iter [24550/160000] lr: 7.500e-05, eta: 8:40:46, time: 0.199, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1998, decode.acc_seg: 91.8241, loss: 0.1998 +2023-03-04 23:25:29,028 - mmseg - INFO - Iter [24600/160000] lr: 7.500e-05, eta: 8:40:23, time: 0.189, data_time: 0.007, memory: 52540, decode.loss_ce: 0.2081, decode.acc_seg: 91.4747, loss: 0.2081 +2023-03-04 23:25:41,141 - mmseg - INFO - Iter [24650/160000] lr: 7.500e-05, eta: 8:40:15, time: 0.242, data_time: 0.055, memory: 52540, decode.loss_ce: 0.1985, decode.acc_seg: 91.7907, loss: 0.1985 +2023-03-04 23:25:50,799 - mmseg - INFO - Iter [24700/160000] lr: 7.500e-05, eta: 8:39:53, time: 0.193, data_time: 0.007, memory: 52540, decode.loss_ce: 0.2024, decode.acc_seg: 91.6808, loss: 0.2024 +2023-03-04 23:26:00,346 - mmseg - INFO - Iter [24750/160000] lr: 7.500e-05, eta: 8:39:30, time: 0.191, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1937, decode.acc_seg: 91.9684, loss: 0.1937 +2023-03-04 23:26:09,792 - mmseg - INFO - Iter [24800/160000] lr: 7.500e-05, eta: 8:39:08, time: 0.189, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1998, decode.acc_seg: 91.8306, loss: 0.1998 +2023-03-04 23:26:19,249 - mmseg - INFO - Iter [24850/160000] lr: 7.500e-05, eta: 8:38:45, time: 0.189, data_time: 0.007, memory: 52540, decode.loss_ce: 0.2084, decode.acc_seg: 91.6351, loss: 0.2084 +2023-03-04 23:26:28,720 - mmseg - INFO - Iter [24900/160000] lr: 7.500e-05, eta: 8:38:22, time: 0.189, data_time: 0.007, memory: 52540, decode.loss_ce: 0.2023, decode.acc_seg: 91.8365, loss: 0.2023 +2023-03-04 23:26:38,347 - mmseg - INFO - Iter [24950/160000] lr: 7.500e-05, eta: 8:38:01, time: 0.193, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1978, decode.acc_seg: 91.9259, loss: 0.1978 +2023-03-04 23:26:48,127 - mmseg - INFO - Exp name: ablation_segformer_mit_b2_segformer_head_unet_fc_small_multi_step_ade_pretrained_freeze_embed_160k_ade20k151_mask_finetune_maskonly.py +2023-03-04 23:26:48,127 - mmseg - INFO - Iter [25000/160000] lr: 7.500e-05, eta: 8:37:40, time: 0.196, data_time: 0.008, memory: 52540, decode.loss_ce: 0.2043, decode.acc_seg: 91.7518, loss: 0.2043 +2023-03-04 23:26:57,668 - mmseg - INFO - Iter [25050/160000] lr: 7.500e-05, eta: 8:37:18, time: 0.191, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1959, decode.acc_seg: 91.8739, loss: 0.1959 +2023-03-04 23:27:07,350 - mmseg - INFO - Iter [25100/160000] lr: 7.500e-05, eta: 8:36:56, time: 0.194, data_time: 0.007, memory: 52540, decode.loss_ce: 0.2027, decode.acc_seg: 91.7465, loss: 0.2027 +2023-03-04 23:27:17,000 - mmseg - INFO - Iter [25150/160000] lr: 7.500e-05, eta: 8:36:35, time: 0.193, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1981, decode.acc_seg: 91.7403, loss: 0.1981 +2023-03-04 23:27:26,663 - mmseg - INFO - Iter [25200/160000] lr: 7.500e-05, eta: 8:36:14, time: 0.193, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1993, decode.acc_seg: 91.9467, loss: 0.1993 +2023-03-04 23:27:39,027 - mmseg - INFO - Iter [25250/160000] lr: 7.500e-05, eta: 8:36:07, time: 0.247, data_time: 0.054, memory: 52540, decode.loss_ce: 0.2111, decode.acc_seg: 91.5832, loss: 0.2111 +2023-03-04 23:27:48,528 - mmseg - INFO - Iter [25300/160000] lr: 7.500e-05, eta: 8:35:45, time: 0.190, data_time: 0.007, memory: 52540, decode.loss_ce: 0.2022, decode.acc_seg: 91.6176, loss: 0.2022 +2023-03-04 23:27:58,188 - mmseg - INFO - Iter [25350/160000] lr: 7.500e-05, eta: 8:35:24, time: 0.193, data_time: 0.007, memory: 52540, decode.loss_ce: 0.2102, decode.acc_seg: 91.5304, loss: 0.2102 +2023-03-04 23:28:07,711 - mmseg - INFO - Iter [25400/160000] lr: 7.500e-05, eta: 8:35:02, time: 0.190, data_time: 0.007, memory: 52540, decode.loss_ce: 0.2018, decode.acc_seg: 91.7804, loss: 0.2018 +2023-03-04 23:28:17,377 - mmseg - INFO - Iter [25450/160000] lr: 7.500e-05, eta: 8:34:41, time: 0.193, data_time: 0.007, memory: 52540, decode.loss_ce: 0.2029, decode.acc_seg: 91.6309, loss: 0.2029 +2023-03-04 23:28:26,887 - mmseg - INFO - Iter [25500/160000] lr: 7.500e-05, eta: 8:34:19, time: 0.190, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1980, decode.acc_seg: 91.7958, loss: 0.1980 +2023-03-04 23:28:36,822 - mmseg - INFO - Iter [25550/160000] lr: 7.500e-05, eta: 8:33:59, time: 0.199, data_time: 0.007, memory: 52540, decode.loss_ce: 0.2056, decode.acc_seg: 91.5706, loss: 0.2056 +2023-03-04 23:28:46,633 - mmseg - INFO - Iter [25600/160000] lr: 7.500e-05, eta: 8:33:39, time: 0.196, data_time: 0.007, memory: 52540, decode.loss_ce: 0.2022, decode.acc_seg: 91.8572, loss: 0.2022 +2023-03-04 23:28:56,024 - mmseg - INFO - Iter [25650/160000] lr: 7.500e-05, eta: 8:33:17, time: 0.188, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1978, decode.acc_seg: 92.0232, loss: 0.1978 +2023-03-04 23:29:05,845 - mmseg - INFO - Iter [25700/160000] lr: 7.500e-05, eta: 8:32:57, time: 0.196, data_time: 0.007, memory: 52540, decode.loss_ce: 0.2018, decode.acc_seg: 91.9651, loss: 0.2018 +2023-03-04 23:29:15,703 - mmseg - INFO - Iter [25750/160000] lr: 7.500e-05, eta: 8:32:37, time: 0.197, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1968, decode.acc_seg: 91.9271, loss: 0.1968 +2023-03-04 23:29:25,268 - mmseg - INFO - Iter [25800/160000] lr: 7.500e-05, eta: 8:32:16, time: 0.191, data_time: 0.007, memory: 52540, decode.loss_ce: 0.2032, decode.acc_seg: 91.7544, loss: 0.2032 +2023-03-04 23:29:35,150 - mmseg - INFO - Iter [25850/160000] lr: 7.500e-05, eta: 8:31:56, time: 0.198, data_time: 0.007, memory: 52540, decode.loss_ce: 0.2003, decode.acc_seg: 91.8351, loss: 0.2003 +2023-03-04 23:29:47,293 - mmseg - INFO - Iter [25900/160000] lr: 7.500e-05, eta: 8:31:48, time: 0.243, data_time: 0.054, memory: 52540, decode.loss_ce: 0.1990, decode.acc_seg: 91.9311, loss: 0.1990 +2023-03-04 23:29:56,818 - mmseg - INFO - Iter [25950/160000] lr: 7.500e-05, eta: 8:31:27, time: 0.190, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1949, decode.acc_seg: 91.9814, loss: 0.1949 +2023-03-04 23:30:06,248 - mmseg - INFO - Exp name: ablation_segformer_mit_b2_segformer_head_unet_fc_small_multi_step_ade_pretrained_freeze_embed_160k_ade20k151_mask_finetune_maskonly.py +2023-03-04 23:30:06,249 - mmseg - INFO - Iter [26000/160000] lr: 7.500e-05, eta: 8:31:05, time: 0.189, data_time: 0.007, memory: 52540, decode.loss_ce: 0.2011, decode.acc_seg: 91.8040, loss: 0.2011 +2023-03-04 23:30:15,654 - mmseg - INFO - Iter [26050/160000] lr: 7.500e-05, eta: 8:30:43, time: 0.188, data_time: 0.007, memory: 52540, decode.loss_ce: 0.2019, decode.acc_seg: 91.5814, loss: 0.2019 +2023-03-04 23:30:25,174 - mmseg - INFO - Iter [26100/160000] lr: 7.500e-05, eta: 8:30:22, time: 0.190, data_time: 0.007, memory: 52540, decode.loss_ce: 0.2029, decode.acc_seg: 91.7620, loss: 0.2029 +2023-03-04 23:30:34,993 - mmseg - INFO - Iter [26150/160000] lr: 7.500e-05, eta: 8:30:02, time: 0.196, data_time: 0.007, memory: 52540, decode.loss_ce: 0.2014, decode.acc_seg: 91.7181, loss: 0.2014 +2023-03-04 23:30:44,567 - mmseg - INFO - Iter [26200/160000] lr: 7.500e-05, eta: 8:29:41, time: 0.191, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1960, decode.acc_seg: 91.9130, loss: 0.1960 +2023-03-04 23:30:54,100 - mmseg - INFO - Iter [26250/160000] lr: 7.500e-05, eta: 8:29:20, time: 0.191, data_time: 0.007, memory: 52540, decode.loss_ce: 0.2019, decode.acc_seg: 91.8229, loss: 0.2019 +2023-03-04 23:31:03,781 - mmseg - INFO - Iter [26300/160000] lr: 7.500e-05, eta: 8:29:00, time: 0.194, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1980, decode.acc_seg: 91.9348, loss: 0.1980 +2023-03-04 23:31:13,586 - mmseg - INFO - Iter [26350/160000] lr: 7.500e-05, eta: 8:28:40, time: 0.196, data_time: 0.007, memory: 52540, decode.loss_ce: 0.2021, decode.acc_seg: 91.9000, loss: 0.2021 +2023-03-04 23:31:23,004 - mmseg - INFO - Iter [26400/160000] lr: 7.500e-05, eta: 8:28:19, time: 0.188, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1997, decode.acc_seg: 91.7998, loss: 0.1997 +2023-03-04 23:31:32,802 - mmseg - INFO - Iter [26450/160000] lr: 7.500e-05, eta: 8:27:59, time: 0.196, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1969, decode.acc_seg: 92.0626, loss: 0.1969 +2023-03-04 23:31:42,334 - mmseg - INFO - Iter [26500/160000] lr: 7.500e-05, eta: 8:27:38, time: 0.191, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1994, decode.acc_seg: 91.7763, loss: 0.1994 +2023-03-04 23:31:54,753 - mmseg - INFO - Iter [26550/160000] lr: 7.500e-05, eta: 8:27:32, time: 0.248, data_time: 0.055, memory: 52540, decode.loss_ce: 0.2015, decode.acc_seg: 91.6894, loss: 0.2015 +2023-03-04 23:32:04,197 - mmseg - INFO - Iter [26600/160000] lr: 7.500e-05, eta: 8:27:11, time: 0.189, data_time: 0.007, memory: 52540, decode.loss_ce: 0.2080, decode.acc_seg: 91.3947, loss: 0.2080 +2023-03-04 23:32:13,749 - mmseg - INFO - Iter [26650/160000] lr: 7.500e-05, eta: 8:26:50, time: 0.191, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1989, decode.acc_seg: 91.8450, loss: 0.1989 +2023-03-04 23:32:23,259 - mmseg - INFO - Iter [26700/160000] lr: 7.500e-05, eta: 8:26:29, time: 0.190, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1904, decode.acc_seg: 92.1766, loss: 0.1904 +2023-03-04 23:32:32,709 - mmseg - INFO - Iter [26750/160000] lr: 7.500e-05, eta: 8:26:08, time: 0.189, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1968, decode.acc_seg: 91.9124, loss: 0.1968 +2023-03-04 23:32:42,455 - mmseg - INFO - Iter [26800/160000] lr: 7.500e-05, eta: 8:25:48, time: 0.195, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1960, decode.acc_seg: 92.0478, loss: 0.1960 +2023-03-04 23:32:52,149 - mmseg - INFO - Iter [26850/160000] lr: 7.500e-05, eta: 8:25:28, time: 0.194, data_time: 0.008, memory: 52540, decode.loss_ce: 0.2057, decode.acc_seg: 91.5401, loss: 0.2057 +2023-03-04 23:33:01,848 - mmseg - INFO - Iter [26900/160000] lr: 7.500e-05, eta: 8:25:09, time: 0.194, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1927, decode.acc_seg: 92.0013, loss: 0.1927 +2023-03-04 23:33:11,630 - mmseg - INFO - Iter [26950/160000] lr: 7.500e-05, eta: 8:24:49, time: 0.196, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1863, decode.acc_seg: 92.2712, loss: 0.1863 +2023-03-04 23:33:21,141 - mmseg - INFO - Exp name: ablation_segformer_mit_b2_segformer_head_unet_fc_small_multi_step_ade_pretrained_freeze_embed_160k_ade20k151_mask_finetune_maskonly.py +2023-03-04 23:33:21,141 - mmseg - INFO - Iter [27000/160000] lr: 7.500e-05, eta: 8:24:29, time: 0.190, data_time: 0.007, memory: 52540, decode.loss_ce: 0.2110, decode.acc_seg: 91.5011, loss: 0.2110 +2023-03-04 23:33:30,601 - mmseg - INFO - Iter [27050/160000] lr: 7.500e-05, eta: 8:24:08, time: 0.189, data_time: 0.007, memory: 52540, decode.loss_ce: 0.2105, decode.acc_seg: 91.6097, loss: 0.2105 +2023-03-04 23:33:40,280 - mmseg - INFO - Iter [27100/160000] lr: 7.500e-05, eta: 8:23:48, time: 0.194, data_time: 0.007, memory: 52540, decode.loss_ce: 0.2094, decode.acc_seg: 91.4126, loss: 0.2094 +2023-03-04 23:33:52,755 - mmseg - INFO - Iter [27150/160000] lr: 7.500e-05, eta: 8:23:42, time: 0.250, data_time: 0.054, memory: 52540, decode.loss_ce: 0.2001, decode.acc_seg: 91.8372, loss: 0.2001 +2023-03-04 23:34:02,326 - mmseg - INFO - Iter [27200/160000] lr: 7.500e-05, eta: 8:23:22, time: 0.191, data_time: 0.007, memory: 52540, decode.loss_ce: 0.2024, decode.acc_seg: 91.7728, loss: 0.2024 +2023-03-04 23:34:11,880 - mmseg - INFO - Iter [27250/160000] lr: 7.500e-05, eta: 8:23:02, time: 0.191, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1999, decode.acc_seg: 91.9378, loss: 0.1999 +2023-03-04 23:34:21,609 - mmseg - INFO - Iter [27300/160000] lr: 7.500e-05, eta: 8:22:43, time: 0.195, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1928, decode.acc_seg: 92.0135, loss: 0.1928 +2023-03-04 23:34:31,077 - mmseg - INFO - Iter [27350/160000] lr: 7.500e-05, eta: 8:22:22, time: 0.189, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1970, decode.acc_seg: 92.0754, loss: 0.1970 +2023-03-04 23:34:40,734 - mmseg - INFO - Iter [27400/160000] lr: 7.500e-05, eta: 8:22:02, time: 0.193, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1932, decode.acc_seg: 92.0686, loss: 0.1932 +2023-03-04 23:34:50,310 - mmseg - INFO - Iter [27450/160000] lr: 7.500e-05, eta: 8:21:42, time: 0.191, data_time: 0.007, memory: 52540, decode.loss_ce: 0.2109, decode.acc_seg: 91.5094, loss: 0.2109 +2023-03-04 23:34:59,920 - mmseg - INFO - Iter [27500/160000] lr: 7.500e-05, eta: 8:21:23, time: 0.192, data_time: 0.007, memory: 52540, decode.loss_ce: 0.2014, decode.acc_seg: 91.7363, loss: 0.2014 +2023-03-04 23:35:09,351 - mmseg - INFO - Iter [27550/160000] lr: 7.500e-05, eta: 8:21:02, time: 0.189, data_time: 0.007, memory: 52540, decode.loss_ce: 0.2007, decode.acc_seg: 91.6538, loss: 0.2007 +2023-03-04 23:35:18,908 - mmseg - INFO - Iter [27600/160000] lr: 7.500e-05, eta: 8:20:42, time: 0.191, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1972, decode.acc_seg: 91.9305, loss: 0.1972 +2023-03-04 23:35:28,521 - mmseg - INFO - Iter [27650/160000] lr: 7.500e-05, eta: 8:20:22, time: 0.192, data_time: 0.007, memory: 52540, decode.loss_ce: 0.2088, decode.acc_seg: 91.4873, loss: 0.2088 +2023-03-04 23:35:38,240 - mmseg - INFO - Iter [27700/160000] lr: 7.500e-05, eta: 8:20:03, time: 0.194, data_time: 0.007, memory: 52540, decode.loss_ce: 0.2002, decode.acc_seg: 91.9534, loss: 0.2002 +2023-03-04 23:35:47,709 - mmseg - INFO - Iter [27750/160000] lr: 7.500e-05, eta: 8:19:43, time: 0.189, data_time: 0.007, memory: 52540, decode.loss_ce: 0.2126, decode.acc_seg: 91.4415, loss: 0.2126 +2023-03-04 23:35:59,820 - mmseg - INFO - Iter [27800/160000] lr: 7.500e-05, eta: 8:19:35, time: 0.242, data_time: 0.055, memory: 52540, decode.loss_ce: 0.2028, decode.acc_seg: 91.6177, loss: 0.2028 +2023-03-04 23:36:09,393 - mmseg - INFO - Iter [27850/160000] lr: 7.500e-05, eta: 8:19:16, time: 0.191, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1999, decode.acc_seg: 91.7778, loss: 0.1999 +2023-03-04 23:36:18,997 - mmseg - INFO - Iter [27900/160000] lr: 7.500e-05, eta: 8:18:56, time: 0.192, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1980, decode.acc_seg: 91.9719, loss: 0.1980 +2023-03-04 23:36:28,556 - mmseg - INFO - Iter [27950/160000] lr: 7.500e-05, eta: 8:18:37, time: 0.191, data_time: 0.007, memory: 52540, decode.loss_ce: 0.2004, decode.acc_seg: 91.7930, loss: 0.2004 +2023-03-04 23:36:38,147 - mmseg - INFO - Exp name: ablation_segformer_mit_b2_segformer_head_unet_fc_small_multi_step_ade_pretrained_freeze_embed_160k_ade20k151_mask_finetune_maskonly.py +2023-03-04 23:36:38,147 - mmseg - INFO - Iter [28000/160000] lr: 7.500e-05, eta: 8:18:17, time: 0.192, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1995, decode.acc_seg: 91.7229, loss: 0.1995 +2023-03-04 23:36:47,717 - mmseg - INFO - Iter [28050/160000] lr: 7.500e-05, eta: 8:17:57, time: 0.191, data_time: 0.007, memory: 52540, decode.loss_ce: 0.2007, decode.acc_seg: 91.8432, loss: 0.2007 +2023-03-04 23:36:57,538 - mmseg - INFO - Iter [28100/160000] lr: 7.500e-05, eta: 8:17:39, time: 0.196, data_time: 0.007, memory: 52540, decode.loss_ce: 0.2048, decode.acc_seg: 91.5746, loss: 0.2048 +2023-03-04 23:37:06,965 - mmseg - INFO - Iter [28150/160000] lr: 7.500e-05, eta: 8:17:19, time: 0.189, data_time: 0.007, memory: 52540, decode.loss_ce: 0.2035, decode.acc_seg: 91.6721, loss: 0.2035 +2023-03-04 23:37:16,578 - mmseg - INFO - Iter [28200/160000] lr: 7.500e-05, eta: 8:17:00, time: 0.192, data_time: 0.007, memory: 52540, decode.loss_ce: 0.2113, decode.acc_seg: 91.3771, loss: 0.2113 +2023-03-04 23:37:26,266 - mmseg - INFO - Iter [28250/160000] lr: 7.500e-05, eta: 8:16:41, time: 0.194, data_time: 0.007, memory: 52540, decode.loss_ce: 0.2010, decode.acc_seg: 91.9050, loss: 0.2010 +2023-03-04 23:37:35,757 - mmseg - INFO - Iter [28300/160000] lr: 7.500e-05, eta: 8:16:21, time: 0.190, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1948, decode.acc_seg: 91.9979, loss: 0.1948 +2023-03-04 23:37:45,419 - mmseg - INFO - Iter [28350/160000] lr: 7.500e-05, eta: 8:16:02, time: 0.193, data_time: 0.007, memory: 52540, decode.loss_ce: 0.2049, decode.acc_seg: 91.5077, loss: 0.2049 +2023-03-04 23:37:57,494 - mmseg - INFO - Iter [28400/160000] lr: 7.500e-05, eta: 8:15:54, time: 0.241, data_time: 0.058, memory: 52540, decode.loss_ce: 0.1981, decode.acc_seg: 91.8963, loss: 0.1981 +2023-03-04 23:38:07,052 - mmseg - INFO - Iter [28450/160000] lr: 7.500e-05, eta: 8:15:35, time: 0.191, data_time: 0.007, memory: 52540, decode.loss_ce: 0.2055, decode.acc_seg: 91.6560, loss: 0.2055 +2023-03-04 23:38:16,535 - mmseg - INFO - Iter [28500/160000] lr: 7.500e-05, eta: 8:15:15, time: 0.190, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1953, decode.acc_seg: 91.9439, loss: 0.1953 +2023-03-04 23:38:25,976 - mmseg - INFO - Iter [28550/160000] lr: 7.500e-05, eta: 8:14:55, time: 0.189, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1999, decode.acc_seg: 91.9139, loss: 0.1999 +2023-03-04 23:38:35,490 - mmseg - INFO - Iter [28600/160000] lr: 7.500e-05, eta: 8:14:36, time: 0.190, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1902, decode.acc_seg: 92.2023, loss: 0.1902 +2023-03-04 23:38:45,274 - mmseg - INFO - Iter [28650/160000] lr: 7.500e-05, eta: 8:14:18, time: 0.196, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1989, decode.acc_seg: 91.8037, loss: 0.1989 +2023-03-04 23:38:54,840 - mmseg - INFO - Iter [28700/160000] lr: 7.500e-05, eta: 8:13:58, time: 0.191, data_time: 0.007, memory: 52540, decode.loss_ce: 0.2045, decode.acc_seg: 91.8423, loss: 0.2045 +2023-03-04 23:39:04,382 - mmseg - INFO - Iter [28750/160000] lr: 7.500e-05, eta: 8:13:39, time: 0.191, data_time: 0.007, memory: 52540, decode.loss_ce: 0.2096, decode.acc_seg: 91.6726, loss: 0.2096 +2023-03-04 23:39:13,860 - mmseg - INFO - Iter [28800/160000] lr: 7.500e-05, eta: 8:13:20, time: 0.190, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1996, decode.acc_seg: 91.9115, loss: 0.1996 +2023-03-04 23:39:23,464 - mmseg - INFO - Iter [28850/160000] lr: 7.500e-05, eta: 8:13:01, time: 0.192, data_time: 0.007, memory: 52540, decode.loss_ce: 0.2013, decode.acc_seg: 91.9397, loss: 0.2013 +2023-03-04 23:39:33,051 - mmseg - INFO - Iter [28900/160000] lr: 7.500e-05, eta: 8:12:42, time: 0.192, data_time: 0.007, memory: 52540, decode.loss_ce: 0.2054, decode.acc_seg: 91.5682, loss: 0.2054 +2023-03-04 23:39:42,552 - mmseg - INFO - Iter [28950/160000] lr: 7.500e-05, eta: 8:12:23, time: 0.190, data_time: 0.007, memory: 52540, decode.loss_ce: 0.2077, decode.acc_seg: 91.5931, loss: 0.2077 +2023-03-04 23:39:51,966 - mmseg - INFO - Exp name: ablation_segformer_mit_b2_segformer_head_unet_fc_small_multi_step_ade_pretrained_freeze_embed_160k_ade20k151_mask_finetune_maskonly.py +2023-03-04 23:39:51,966 - mmseg - INFO - Iter [29000/160000] lr: 7.500e-05, eta: 8:12:03, time: 0.188, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1988, decode.acc_seg: 91.9400, loss: 0.1988 +2023-03-04 23:40:03,994 - mmseg - INFO - Iter [29050/160000] lr: 7.500e-05, eta: 8:11:55, time: 0.241, data_time: 0.054, memory: 52540, decode.loss_ce: 0.1981, decode.acc_seg: 91.8517, loss: 0.1981 +2023-03-04 23:40:13,719 - mmseg - INFO - Iter [29100/160000] lr: 7.500e-05, eta: 8:11:37, time: 0.194, data_time: 0.007, memory: 52540, decode.loss_ce: 0.2033, decode.acc_seg: 91.6930, loss: 0.2033 +2023-03-04 23:40:23,396 - mmseg - INFO - Iter [29150/160000] lr: 7.500e-05, eta: 8:11:18, time: 0.194, data_time: 0.007, memory: 52540, decode.loss_ce: 0.2003, decode.acc_seg: 91.8101, loss: 0.2003 +2023-03-04 23:40:32,809 - mmseg - INFO - Iter [29200/160000] lr: 7.500e-05, eta: 8:10:59, time: 0.188, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1973, decode.acc_seg: 92.0170, loss: 0.1973 +2023-03-04 23:40:42,511 - mmseg - INFO - Iter [29250/160000] lr: 7.500e-05, eta: 8:10:41, time: 0.194, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1976, decode.acc_seg: 91.8741, loss: 0.1976 +2023-03-04 23:40:52,013 - mmseg - INFO - Iter [29300/160000] lr: 7.500e-05, eta: 8:10:22, time: 0.190, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1964, decode.acc_seg: 91.6317, loss: 0.1964 +2023-03-04 23:41:01,627 - mmseg - INFO - Iter [29350/160000] lr: 7.500e-05, eta: 8:10:03, time: 0.192, data_time: 0.007, memory: 52540, decode.loss_ce: 0.2051, decode.acc_seg: 91.5273, loss: 0.2051 +2023-03-04 23:41:11,082 - mmseg - INFO - Iter [29400/160000] lr: 7.500e-05, eta: 8:09:44, time: 0.189, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1954, decode.acc_seg: 91.9678, loss: 0.1954 +2023-03-04 23:41:20,756 - mmseg - INFO - Iter [29450/160000] lr: 7.500e-05, eta: 8:09:25, time: 0.193, data_time: 0.007, memory: 52540, decode.loss_ce: 0.2047, decode.acc_seg: 91.7078, loss: 0.2047 +2023-03-04 23:41:30,356 - mmseg - INFO - Iter [29500/160000] lr: 7.500e-05, eta: 8:09:07, time: 0.192, data_time: 0.007, memory: 52540, decode.loss_ce: 0.2024, decode.acc_seg: 91.7772, loss: 0.2024 +2023-03-04 23:41:40,471 - mmseg - INFO - Iter [29550/160000] lr: 7.500e-05, eta: 8:08:51, time: 0.202, data_time: 0.007, memory: 52540, decode.loss_ce: 0.2018, decode.acc_seg: 91.6026, loss: 0.2018 +2023-03-04 23:41:49,929 - mmseg - INFO - Iter [29600/160000] lr: 7.500e-05, eta: 8:08:32, time: 0.189, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1989, decode.acc_seg: 91.9295, loss: 0.1989 +2023-03-04 23:41:59,561 - mmseg - INFO - Iter [29650/160000] lr: 7.500e-05, eta: 8:08:13, time: 0.193, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1912, decode.acc_seg: 92.1279, loss: 0.1912 +2023-03-04 23:42:11,907 - mmseg - INFO - Iter [29700/160000] lr: 7.500e-05, eta: 8:08:07, time: 0.247, data_time: 0.053, memory: 52540, decode.loss_ce: 0.1966, decode.acc_seg: 92.0572, loss: 0.1966 +2023-03-04 23:42:21,468 - mmseg - INFO - Iter [29750/160000] lr: 7.500e-05, eta: 8:07:48, time: 0.191, data_time: 0.007, memory: 52540, decode.loss_ce: 0.2006, decode.acc_seg: 91.8706, loss: 0.2006 +2023-03-04 23:42:30,920 - mmseg - INFO - Iter [29800/160000] lr: 7.500e-05, eta: 8:07:29, time: 0.189, data_time: 0.007, memory: 52540, decode.loss_ce: 0.2020, decode.acc_seg: 91.8334, loss: 0.2020 +2023-03-04 23:42:40,611 - mmseg - INFO - Iter [29850/160000] lr: 7.500e-05, eta: 8:07:11, time: 0.194, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1952, decode.acc_seg: 91.8888, loss: 0.1952 +2023-03-04 23:42:50,220 - mmseg - INFO - Iter [29900/160000] lr: 7.500e-05, eta: 8:06:53, time: 0.192, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1980, decode.acc_seg: 91.9372, loss: 0.1980 +2023-03-04 23:42:59,619 - mmseg - INFO - Iter [29950/160000] lr: 7.500e-05, eta: 8:06:34, time: 0.188, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1960, decode.acc_seg: 91.9654, loss: 0.1960 +2023-03-04 23:43:09,073 - mmseg - INFO - Exp name: ablation_segformer_mit_b2_segformer_head_unet_fc_small_multi_step_ade_pretrained_freeze_embed_160k_ade20k151_mask_finetune_maskonly.py +2023-03-04 23:43:09,073 - mmseg - INFO - Iter [30000/160000] lr: 7.500e-05, eta: 8:06:15, time: 0.189, data_time: 0.007, memory: 52540, decode.loss_ce: 0.2053, decode.acc_seg: 91.5949, loss: 0.2053 +2023-03-04 23:43:18,709 - mmseg - INFO - Iter [30050/160000] lr: 7.500e-05, eta: 8:05:57, time: 0.193, data_time: 0.007, memory: 52540, decode.loss_ce: 0.2094, decode.acc_seg: 91.5600, loss: 0.2094 +2023-03-04 23:43:28,451 - mmseg - INFO - Iter [30100/160000] lr: 7.500e-05, eta: 8:05:39, time: 0.195, data_time: 0.007, memory: 52540, decode.loss_ce: 0.2031, decode.acc_seg: 91.5444, loss: 0.2031 +2023-03-04 23:43:37,991 - mmseg - INFO - Iter [30150/160000] lr: 7.500e-05, eta: 8:05:21, time: 0.191, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1987, decode.acc_seg: 91.8361, loss: 0.1987 +2023-03-04 23:43:47,642 - mmseg - INFO - Iter [30200/160000] lr: 7.500e-05, eta: 8:05:03, time: 0.193, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1970, decode.acc_seg: 91.7997, loss: 0.1970 +2023-03-04 23:43:57,639 - mmseg - INFO - Iter [30250/160000] lr: 7.500e-05, eta: 8:04:46, time: 0.200, data_time: 0.008, memory: 52540, decode.loss_ce: 0.2025, decode.acc_seg: 91.6892, loss: 0.2025 +2023-03-04 23:44:09,819 - mmseg - INFO - Iter [30300/160000] lr: 7.500e-05, eta: 8:04:39, time: 0.244, data_time: 0.054, memory: 52540, decode.loss_ce: 0.2061, decode.acc_seg: 91.6967, loss: 0.2061 +2023-03-04 23:44:19,267 - mmseg - INFO - Iter [30350/160000] lr: 7.500e-05, eta: 8:04:21, time: 0.189, data_time: 0.007, memory: 52540, decode.loss_ce: 0.2011, decode.acc_seg: 91.8439, loss: 0.2011 +2023-03-04 23:44:28,929 - mmseg - INFO - Iter [30400/160000] lr: 7.500e-05, eta: 8:04:03, time: 0.193, data_time: 0.007, memory: 52540, decode.loss_ce: 0.2057, decode.acc_seg: 91.7787, loss: 0.2057 +2023-03-04 23:44:38,761 - mmseg - INFO - Iter [30450/160000] lr: 7.500e-05, eta: 8:03:46, time: 0.197, data_time: 0.007, memory: 52540, decode.loss_ce: 0.2029, decode.acc_seg: 91.7126, loss: 0.2029 +2023-03-04 23:44:48,652 - mmseg - INFO - Iter [30500/160000] lr: 7.500e-05, eta: 8:03:29, time: 0.198, data_time: 0.008, memory: 52540, decode.loss_ce: 0.2065, decode.acc_seg: 91.3927, loss: 0.2065 +2023-03-04 23:44:58,229 - mmseg - INFO - Iter [30550/160000] lr: 7.500e-05, eta: 8:03:11, time: 0.192, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1959, decode.acc_seg: 91.9656, loss: 0.1959 +2023-03-04 23:45:07,711 - mmseg - INFO - Iter [30600/160000] lr: 7.500e-05, eta: 8:02:53, time: 0.190, data_time: 0.007, memory: 52540, decode.loss_ce: 0.2094, decode.acc_seg: 91.5561, loss: 0.2094 +2023-03-04 23:45:17,505 - mmseg - INFO - Iter [30650/160000] lr: 7.500e-05, eta: 8:02:35, time: 0.196, data_time: 0.007, memory: 52540, decode.loss_ce: 0.2081, decode.acc_seg: 91.6922, loss: 0.2081 +2023-03-04 23:45:27,005 - mmseg - INFO - Iter [30700/160000] lr: 7.500e-05, eta: 8:02:17, time: 0.190, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1962, decode.acc_seg: 92.0185, loss: 0.1962 +2023-03-04 23:45:36,907 - mmseg - INFO - Iter [30750/160000] lr: 7.500e-05, eta: 8:02:01, time: 0.198, data_time: 0.008, memory: 52540, decode.loss_ce: 0.2006, decode.acc_seg: 91.8767, loss: 0.2006 +2023-03-04 23:45:46,404 - mmseg - INFO - Iter [30800/160000] lr: 7.500e-05, eta: 8:01:42, time: 0.190, data_time: 0.007, memory: 52540, decode.loss_ce: 0.2012, decode.acc_seg: 91.9130, loss: 0.2012 +2023-03-04 23:45:55,924 - mmseg - INFO - Iter [30850/160000] lr: 7.500e-05, eta: 8:01:24, time: 0.190, data_time: 0.007, memory: 52540, decode.loss_ce: 0.2005, decode.acc_seg: 91.7672, loss: 0.2005 +2023-03-04 23:46:05,527 - mmseg - INFO - Iter [30900/160000] lr: 7.500e-05, eta: 8:01:06, time: 0.192, data_time: 0.008, memory: 52540, decode.loss_ce: 0.2123, decode.acc_seg: 91.3959, loss: 0.2123 +2023-03-04 23:46:17,638 - mmseg - INFO - Iter [30950/160000] lr: 7.500e-05, eta: 8:00:59, time: 0.242, data_time: 0.056, memory: 52540, decode.loss_ce: 0.1940, decode.acc_seg: 92.0615, loss: 0.1940 +2023-03-04 23:46:27,489 - mmseg - INFO - Exp name: ablation_segformer_mit_b2_segformer_head_unet_fc_small_multi_step_ade_pretrained_freeze_embed_160k_ade20k151_mask_finetune_maskonly.py +2023-03-04 23:46:27,489 - mmseg - INFO - Iter [31000/160000] lr: 7.500e-05, eta: 8:00:42, time: 0.197, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1935, decode.acc_seg: 92.0679, loss: 0.1935 +2023-03-04 23:46:37,223 - mmseg - INFO - Iter [31050/160000] lr: 7.500e-05, eta: 8:00:25, time: 0.195, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1945, decode.acc_seg: 92.0512, loss: 0.1945 +2023-03-04 23:46:46,825 - mmseg - INFO - Iter [31100/160000] lr: 7.500e-05, eta: 8:00:07, time: 0.192, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1970, decode.acc_seg: 92.0537, loss: 0.1970 +2023-03-04 23:46:56,447 - mmseg - INFO - Iter [31150/160000] lr: 7.500e-05, eta: 7:59:50, time: 0.193, data_time: 0.007, memory: 52540, decode.loss_ce: 0.2044, decode.acc_seg: 91.7257, loss: 0.2044 +2023-03-04 23:47:05,956 - mmseg - INFO - Iter [31200/160000] lr: 7.500e-05, eta: 7:59:32, time: 0.190, data_time: 0.007, memory: 52540, decode.loss_ce: 0.2035, decode.acc_seg: 91.6930, loss: 0.2035 +2023-03-04 23:47:15,461 - mmseg - INFO - Iter [31250/160000] lr: 7.500e-05, eta: 7:59:14, time: 0.190, data_time: 0.007, memory: 52540, decode.loss_ce: 0.2011, decode.acc_seg: 91.7567, loss: 0.2011 +2023-03-04 23:47:24,988 - mmseg - INFO - Iter [31300/160000] lr: 7.500e-05, eta: 7:58:56, time: 0.191, data_time: 0.007, memory: 52540, decode.loss_ce: 0.2017, decode.acc_seg: 91.7814, loss: 0.2017 +2023-03-04 23:47:34,639 - mmseg - INFO - Iter [31350/160000] lr: 7.500e-05, eta: 7:58:38, time: 0.193, data_time: 0.007, memory: 52540, decode.loss_ce: 0.2073, decode.acc_seg: 91.5549, loss: 0.2073 +2023-03-04 23:47:44,544 - mmseg - INFO - Iter [31400/160000] lr: 7.500e-05, eta: 7:58:22, time: 0.198, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1997, decode.acc_seg: 91.7141, loss: 0.1997 +2023-03-04 23:47:53,963 - mmseg - INFO - Iter [31450/160000] lr: 7.500e-05, eta: 7:58:04, time: 0.188, data_time: 0.007, memory: 52540, decode.loss_ce: 0.2091, decode.acc_seg: 91.4243, loss: 0.2091 +2023-03-04 23:48:03,743 - mmseg - INFO - Iter [31500/160000] lr: 7.500e-05, eta: 7:57:47, time: 0.196, data_time: 0.007, memory: 52540, decode.loss_ce: 0.2030, decode.acc_seg: 91.5711, loss: 0.2030 +2023-03-04 23:48:13,526 - mmseg - INFO - Iter [31550/160000] lr: 7.500e-05, eta: 7:57:30, time: 0.196, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1999, decode.acc_seg: 91.9517, loss: 0.1999 +2023-03-04 23:48:26,002 - mmseg - INFO - Iter [31600/160000] lr: 7.500e-05, eta: 7:57:25, time: 0.250, data_time: 0.055, memory: 52540, decode.loss_ce: 0.2035, decode.acc_seg: 91.7167, loss: 0.2035 +2023-03-04 23:48:35,563 - mmseg - INFO - Iter [31650/160000] lr: 7.500e-05, eta: 7:57:07, time: 0.191, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1995, decode.acc_seg: 91.7355, loss: 0.1995 +2023-03-04 23:48:45,026 - mmseg - INFO - Iter [31700/160000] lr: 7.500e-05, eta: 7:56:49, time: 0.189, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1973, decode.acc_seg: 91.9479, loss: 0.1973 +2023-03-04 23:48:54,485 - mmseg - INFO - Iter [31750/160000] lr: 7.500e-05, eta: 7:56:31, time: 0.189, data_time: 0.007, memory: 52540, decode.loss_ce: 0.2034, decode.acc_seg: 91.6692, loss: 0.2034 +2023-03-04 23:49:04,119 - mmseg - INFO - Iter [31800/160000] lr: 7.500e-05, eta: 7:56:14, time: 0.193, data_time: 0.007, memory: 52540, decode.loss_ce: 0.2041, decode.acc_seg: 91.6674, loss: 0.2041 +2023-03-04 23:49:13,671 - mmseg - INFO - Iter [31850/160000] lr: 7.500e-05, eta: 7:55:56, time: 0.191, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1944, decode.acc_seg: 92.0037, loss: 0.1944 +2023-03-04 23:49:23,356 - mmseg - INFO - Iter [31900/160000] lr: 7.500e-05, eta: 7:55:39, time: 0.194, data_time: 0.007, memory: 52540, decode.loss_ce: 0.2084, decode.acc_seg: 91.5672, loss: 0.2084 +2023-03-04 23:49:32,881 - mmseg - INFO - Iter [31950/160000] lr: 7.500e-05, eta: 7:55:22, time: 0.190, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1963, decode.acc_seg: 91.8503, loss: 0.1963 +2023-03-04 23:49:42,363 - mmseg - INFO - Swap parameters (after train) after iter [32000] +2023-03-04 23:49:42,375 - mmseg - INFO - Saving checkpoint at 32000 iterations +2023-03-04 23:49:43,398 - mmseg - INFO - Exp name: ablation_segformer_mit_b2_segformer_head_unet_fc_small_multi_step_ade_pretrained_freeze_embed_160k_ade20k151_mask_finetune_maskonly.py +2023-03-04 23:49:43,398 - mmseg - INFO - Iter [32000/160000] lr: 7.500e-05, eta: 7:55:08, time: 0.210, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1986, decode.acc_seg: 91.9079, loss: 0.1986 +2023-03-05 00:00:30,141 - mmseg - INFO - per class results: +2023-03-05 00:00:30,150 - mmseg - INFO - ++---------------------+-------------------------------------------------------------------+ +| Class | IoU 0,10,20,30,40,50,60,70,80,90,99 | ++---------------------+-------------------------------------------------------------------+ +| background | nan,nan,nan,nan,nan,nan,nan,nan,nan,nan,nan | +| wall | 77.25,77.4,77.4,77.41,77.41,77.4,77.4,77.41,77.4,77.4,77.43 | +| building | 81.53,81.6,81.6,81.61,81.6,81.6,81.6,81.61,81.6,81.6,81.6 | +| sky | 94.4,94.44,94.45,94.44,94.45,94.45,94.45,94.45,94.45,94.45,94.45 | +| floor | 81.58,81.75,81.77,81.76,81.77,81.77,81.78,81.78,81.77,81.78,81.78 | +| tree | 73.9,74.05,74.06,74.06,74.07,74.06,74.06,74.07,74.07,74.07,74.09 | +| ceiling | 85.1,85.34,85.34,85.34,85.34,85.34,85.34,85.34,85.34,85.34,85.39 | +| road | 81.92,81.9,81.89,81.89,81.89,81.9,81.89,81.89,81.89,81.9,81.94 | +| bed | 87.42,87.57,87.59,87.6,87.6,87.58,87.6,87.6,87.6,87.6,87.58 | +| windowpane | 60.51,60.7,60.7,60.69,60.69,60.7,60.69,60.7,60.68,60.67,60.7 | +| grass | 66.85,67.16,67.19,67.2,67.21,67.21,67.21,67.2,67.2,67.19,67.23 | +| cabinet | 60.14,60.51,60.51,60.51,60.5,60.5,60.51,60.5,60.48,60.48,60.52 | +| sidewalk | 63.86,63.98,63.96,63.98,63.98,63.98,63.95,63.95,63.94,63.95,64.03 | +| person | 79.44,79.54,79.53,79.54,79.54,79.54,79.55,79.53,79.55,79.54,79.54 | +| earth | 35.17,35.12,35.09,35.08,35.09,35.1,35.14,35.14,35.16,35.15,35.22 | +| door | 45.15,45.53,45.54,45.61,45.63,45.64,45.64,45.63,45.59,45.59,45.65 | +| table | 60.31,60.49,60.45,60.45,60.45,60.48,60.48,60.48,60.45,60.46,60.48 | +| mountain | 56.8,57.11,57.13,57.12,57.14,57.15,57.15,57.15,57.15,57.16,57.23 | +| plant | 49.89,50.02,50.06,50.06,50.08,50.08,50.08,50.08,50.09,50.07,50.06 | +| curtain | 74.0,74.44,74.45,74.44,74.44,74.44,74.44,74.45,74.45,74.45,74.52 | +| chair | 56.08,56.36,56.37,56.36,56.37,56.38,56.38,56.38,56.38,56.38,56.37 | +| car | 81.41,81.66,81.66,81.64,81.67,81.68,81.69,81.68,81.67,81.68,81.64 | +| water | 57.8,57.92,57.9,57.92,57.91,57.91,57.93,57.92,57.9,57.89,57.92 | +| painting | 70.06,69.76,69.75,69.74,69.76,69.75,69.74,69.73,69.73,69.76,69.72 | +| sofa | 64.01,64.37,64.35,64.37,64.37,64.36,64.36,64.37,64.39,64.37,64.36 | +| shelf | 44.39,44.4,44.42,44.41,44.43,44.43,44.41,44.42,44.41,44.42,44.43 | +| house | 41.44,42.52,42.54,42.48,42.33,42.33,42.34,42.39,42.38,42.4,42.34 | +| sea | 60.4,60.51,60.52,60.53,60.54,60.53,60.54,60.55,60.53,60.53,60.48 | +| mirror | 65.07,65.51,65.62,65.62,65.61,65.61,65.62,65.63,65.62,65.62,65.65 | +| rug | 63.93,65.11,65.14,65.12,65.14,65.17,65.18,65.18,65.13,65.15,65.18 | +| field | 30.52,30.5,30.52,30.54,30.56,30.55,30.55,30.54,30.54,30.55,30.52 | +| armchair | 37.07,37.47,37.47,37.52,37.49,37.5,37.48,37.5,37.55,37.53,37.42 | +| seat | 65.81,66.22,66.18,66.2,66.2,66.21,66.22,66.21,66.21,66.2,66.19 | +| fence | 41.71,40.89,40.92,40.94,40.94,40.91,40.94,40.91,40.95,40.93,40.8 | +| desk | 46.93,47.22,47.23,47.22,47.22,47.24,47.26,47.26,47.24,47.23,47.21 | +| rock | 36.79,36.8,36.78,36.77,36.8,36.79,36.79,36.8,36.77,36.79,36.83 | +| wardrobe | 56.47,56.85,56.91,56.91,56.91,56.92,56.92,56.9,56.89,56.92,56.98 | +| lamp | 60.96,60.95,60.94,60.93,60.93,60.92,60.93,60.92,60.92,60.92,60.9 | +| bathtub | 75.87,76.54,76.51,76.43,76.45,76.45,76.45,76.47,76.45,76.45,76.44 | +| railing | 32.82,32.87,32.81,32.83,32.84,32.86,32.85,32.85,32.86,32.83,32.99 | +| cushion | 56.22,56.7,56.71,56.72,56.76,56.76,56.74,56.7,56.72,56.73,56.76 | +| base | 19.07,21.0,21.01,21.07,21.08,21.04,21.05,21.05,21.06,21.03,21.36 | +| box | 23.57,23.36,23.38,23.36,23.39,23.35,23.37,23.36,23.33,23.31,23.38 | +| column | 46.05,46.39,46.39,46.39,46.39,46.39,46.39,46.42,46.39,46.4,46.21 | +| signboard | 37.97,37.98,37.97,38.01,38.03,38.01,38.02,38.04,38.0,38.02,38.14 | +| chest of drawers | 36.75,36.93,36.96,36.99,37.01,37.01,37.06,37.07,37.02,37.05,37.05 | +| counter | 30.67,30.76,30.79,30.78,30.79,30.77,30.81,30.8,30.8,30.79,30.79 | +| sand | 42.48,42.97,43.04,43.0,43.07,43.05,43.04,43.01,42.99,42.97,43.09 | +| sink | 67.56,67.83,67.82,67.82,67.81,67.79,67.81,67.8,67.8,67.8,67.86 | +| skyscraper | 48.44,47.83,47.97,47.99,48.01,47.99,47.97,48.0,47.95,47.98,48.21 | +| fireplace | 74.37,74.92,74.9,74.9,74.89,74.92,74.98,74.91,75.06,75.02,75.18 | +| refrigerator | 72.22,73.82,73.82,73.83,73.88,73.94,73.99,73.95,73.95,74.0,73.99 | +| grandstand | 54.11,55.12,55.23,55.27,55.2,55.23,55.27,55.26,55.27,55.2,55.18 | +| path | 21.89,22.18,22.26,22.27,22.28,22.3,22.27,22.27,22.27,22.27,22.29 | +| stairs | 33.42,32.58,32.54,32.52,32.54,32.53,32.52,32.51,32.53,32.51,32.6 | +| runway | 67.47,68.16,68.2,68.24,68.2,68.19,68.2,68.19,68.26,68.25,68.22 | +| case | 47.34,47.37,47.42,47.4,47.41,47.38,47.4,47.41,47.4,47.4,47.35 | +| pool table | 91.48,91.62,91.63,91.62,91.63,91.64,91.64,91.63,91.63,91.65,91.62 | +| pillow | 59.83,62.28,62.43,62.41,62.41,62.43,62.49,62.49,62.46,62.46,62.37 | +| screen door | 65.95,66.48,66.49,66.41,66.43,66.46,66.4,66.43,66.45,66.43,66.55 | +| stairway | 23.36,23.22,23.22,23.23,23.2,23.23,23.21,23.23,23.23,23.2,23.22 | +| river | 12.09,12.08,12.07,12.06,12.06,12.05,12.05,12.05,12.04,12.04,12.06 | +| bridge | 32.01,31.95,32.0,32.03,32.05,32.11,32.03,32.07,32.04,32.07,31.63 | +| bookcase | 47.47,47.05,47.03,46.94,46.9,46.99,46.94,46.99,46.98,46.96,47.03 | +| blind | 40.28,41.03,40.99,41.02,40.97,40.93,40.86,40.92,40.89,40.88,41.13 | +| coffee table | 52.65,52.32,52.25,52.22,52.23,52.17,52.19,52.19,52.21,52.21,52.24 | +| toilet | 83.34,83.44,83.45,83.46,83.47,83.46,83.47,83.45,83.45,83.46,83.39 | +| flower | 38.5,38.8,38.82,38.8,38.83,38.81,38.83,38.85,38.84,38.86,38.79 | +| book | 45.44,45.29,45.27,45.27,45.25,45.25,45.24,45.29,45.23,45.27,45.25 | +| hill | 15.14,15.13,15.02,15.03,15.0,15.02,15.01,15.01,15.04,15.06,15.23 | +| bench | 42.8,41.9,41.88,41.86,41.85,41.83,41.82,41.83,41.81,41.82,41.9 | +| countertop | 53.85,54.72,54.7,54.65,54.62,54.64,54.63,54.61,54.63,54.64,54.78 | +| stove | 70.28,70.04,70.01,70.03,70.04,70.04,70.0,70.07,70.01,70.04,69.9 | +| palm | 47.53,47.73,47.74,47.67,47.78,47.78,47.72,47.78,47.74,47.69,47.74 | +| kitchen island | 40.61,42.7,42.76,42.69,42.67,42.7,42.68,42.76,42.68,42.73,42.68 | +| computer | 59.88,60.7,60.74,60.76,60.76,60.78,60.8,60.8,60.8,60.79,60.83 | +| swivel chair | 42.91,44.1,44.06,44.05,44.05,44.02,44.02,43.98,44.04,43.99,44.13 | +| boat | 68.7,69.29,69.28,69.23,69.24,69.25,69.29,69.21,69.29,69.26,69.34 | +| bar | 23.47,23.97,24.02,24.02,24.02,24.03,24.01,24.01,24.02,24.01,24.12 | +| arcade machine | 71.4,71.68,71.67,71.51,71.53,71.46,71.5,71.61,71.51,71.37,71.62 | +| hovel | 33.76,31.53,31.53,31.57,31.51,31.35,31.43,31.5,31.52,31.39,31.29 | +| bus | 77.15,77.61,77.62,77.52,77.56,77.54,77.57,77.57,77.53,77.56,77.64 | +| towel | 63.03,62.95,62.85,62.89,62.88,62.88,62.76,62.81,62.8,62.87,63.05 | +| light | 55.6,55.69,55.61,55.7,55.69,55.74,55.66,55.71,55.6,55.68,55.66 | +| truck | 16.02,17.18,17.13,17.26,17.24,17.24,17.2,17.2,17.17,17.23,17.24 | +| tower | 6.99,7.56,7.6,7.61,7.61,7.58,7.58,7.6,7.63,7.67,7.7 | +| chandelier | 63.54,63.94,63.92,63.84,63.77,63.79,63.85,63.8,63.84,63.9,63.98 | +| awning | 23.33,24.22,24.34,24.35,24.32,24.4,24.34,24.33,24.36,24.36,24.56 | +| streetlight | 26.52,26.58,26.55,26.56,26.6,26.63,26.65,26.66,26.53,26.57,26.61 | +| booth | 43.58,44.49,44.52,44.52,44.55,44.49,44.48,44.53,44.55,44.48,44.68 | +| television receiver | 64.48,64.61,64.72,64.63,64.66,64.64,64.64,64.65,64.69,64.68,64.63 | +| airplane | 57.73,58.2,58.18,58.22,58.22,58.21,58.21,58.2,58.21,58.21,58.11 | +| dirt track | 18.16,19.44,19.52,19.47,19.59,19.62,19.62,19.56,19.56,19.65,19.75 | +| apparel | 32.83,33.53,33.46,33.42,33.49,33.5,33.49,33.61,33.54,33.54,33.43 | +| pole | 17.08,17.07,16.97,16.95,17.04,17.09,17.14,17.16,16.91,17.02,16.9 | +| land | 4.84,4.48,4.46,4.5,4.48,4.47,4.46,4.49,4.49,4.5,4.69 | +| bannister | 12.7,12.55,12.51,12.57,12.56,12.53,12.55,12.57,12.59,12.52,12.77 | +| escalator | 24.38,24.57,24.53,24.55,24.54,24.55,24.56,24.55,24.54,24.55,24.56 | +| ottoman | 41.45,42.68,42.85,42.94,43.02,42.98,42.96,42.95,43.06,43.08,43.12 | +| bottle | 35.8,36.1,36.16,36.18,36.15,36.14,36.15,36.16,36.14,36.14,35.97 | +| buffet | 38.83,39.6,39.69,39.8,39.66,39.68,39.58,39.58,39.77,39.65,39.72 | +| poster | 23.5,23.08,23.0,22.98,22.98,22.98,22.98,22.96,22.98,22.96,23.06 | +| stage | 13.51,13.35,13.34,13.36,13.35,13.3,13.32,13.32,13.34,13.34,13.39 | +| van | 38.49,38.76,38.77,38.75,38.73,38.75,38.79,38.75,38.76,38.71,39.11 | +| ship | 76.54,75.95,75.97,75.97,75.93,75.9,75.96,75.93,75.95,75.95,75.91 | +| fountain | 14.97,18.35,18.34,18.47,18.43,18.49,18.5,18.44,18.51,18.41,18.52 | +| conveyer belt | 85.51,85.04,85.1,85.07,85.21,85.22,85.22,85.2,85.18,85.18,85.34 | +| canopy | 24.45,24.81,24.78,24.76,24.66,24.68,24.76,24.81,24.8,24.79,24.93 | +| washer | 77.53,76.32,76.17,76.25,76.25,76.22,76.19,76.25,76.24,76.05,76.26 | +| plaything | 20.77,21.0,20.97,21.02,21.01,21.03,21.03,21.01,20.99,21.01,20.99 | +| swimming pool | 71.4,75.67,75.76,75.84,75.88,75.82,75.91,75.91,75.91,75.93,75.77 | +| stool | 43.02,44.54,44.58,44.56,44.59,44.66,44.67,44.66,44.59,44.6,44.66 | +| barrel | 51.21,52.52,52.54,52.56,52.74,52.62,52.61,52.83,52.56,52.53,52.04 | +| basket | 23.95,24.57,24.59,24.58,24.55,24.55,24.55,24.56,24.52,24.52,24.39 | +| waterfall | 50.52,50.37,50.39,50.44,50.41,50.42,50.44,50.41,50.45,50.39,50.2 | +| tent | 94.93,94.56,94.6,94.55,94.54,94.56,94.56,94.56,94.61,94.56,94.57 | +| bag | 15.11,15.5,15.5,15.47,15.43,15.44,15.45,15.43,15.43,15.44,15.57 | +| minibike | 61.95,62.51,62.51,62.58,62.57,62.55,62.55,62.54,62.57,62.59,62.55 | +| cradle | 85.77,86.16,86.16,86.2,86.13,86.16,86.15,86.21,86.14,86.18,86.17 | +| oven | 44.5,44.77,44.78,44.79,44.79,44.78,44.69,44.63,44.58,44.61,44.76 | +| ball | 41.41,43.02,42.99,43.06,43.05,43.09,43.08,43.11,43.07,43.13,43.13 | +| food | 53.99,54.8,54.9,54.86,54.94,54.89,54.93,54.94,54.91,54.92,54.77 | +| step | 4.11,3.94,3.98,3.97,3.98,3.92,3.91,3.93,3.95,3.92,3.93 | +| tank | 52.04,52.96,53.0,53.07,53.03,53.05,53.06,53.04,53.05,53.03,53.05 | +| trade name | 27.67,28.39,28.44,28.4,28.39,28.48,28.45,28.39,28.48,28.43,28.24 | +| microwave | 69.67,71.39,71.54,71.6,71.69,71.83,71.92,71.88,71.86,71.85,71.98 | +| pot | 30.84,30.98,30.91,30.95,30.93,30.96,30.96,30.93,30.92,30.94,30.89 | +| animal | 53.54,54.38,54.36,54.4,54.39,54.41,54.41,54.42,54.38,54.41,54.6 | +| bicycle | 53.06,53.78,53.87,53.9,53.94,53.94,53.93,53.93,53.91,53.95,54.08 | +| lake | 57.66,57.79,57.77,57.78,57.76,57.78,57.76,57.76,57.75,57.74,57.79 | +| dishwasher | 66.1,66.25,66.36,66.32,66.33,66.3,66.27,66.27,66.25,66.27,66.08 | +| screen | 67.68,67.1,66.95,66.76,66.8,66.83,66.88,66.77,66.93,66.82,66.98 | +| blanket | 19.84,20.42,20.41,20.48,20.4,20.4,20.39,20.43,20.37,20.43,20.66 | +| sculpture | 57.82,57.59,57.69,57.48,57.54,57.54,57.5,57.56,57.58,57.57,57.56 | +| hood | 57.93,58.57,58.91,58.65,58.72,58.7,58.7,58.67,58.76,58.75,58.6 | +| sconce | 42.42,42.44,42.45,42.47,42.48,42.45,42.49,42.48,42.45,42.44,42.46 | +| vase | 37.39,38.1,38.07,37.98,38.03,38.11,38.06,38.02,38.02,38.05,38.19 | +| traffic light | 32.51,33.24,33.12,33.17,33.35,33.3,33.23,33.36,33.22,33.24,33.01 | +| tray | 7.11,7.11,7.01,6.95,6.99,6.91,6.94,6.93,6.9,6.9,7.25 | +| ashcan | 41.82,41.73,41.81,41.73,41.71,41.78,41.77,41.71,41.77,41.72,41.75 | +| fan | 58.75,59.12,59.19,59.24,59.21,59.21,59.17,59.18,59.18,59.2,59.17 | +| pier | 51.62,50.15,49.95,49.96,49.9,49.87,49.95,49.84,49.86,49.9,50.13 | +| crt screen | 7.9,8.35,8.36,8.5,8.39,8.38,8.31,8.37,8.37,8.37,8.2 | +| plate | 52.32,52.33,52.34,52.32,52.39,52.4,52.37,52.38,52.33,52.36,52.32 | +| monitor | 34.24,33.41,33.3,33.32,33.35,33.35,33.31,33.31,33.35,33.32,33.73 | +| bulletin board | 36.43,36.77,36.77,36.78,36.77,36.75,36.78,36.79,36.89,36.81,36.82 | +| shower | 1.35,1.41,1.4,1.41,1.4,1.4,1.41,1.41,1.39,1.4,1.4 | +| radiator | 61.54,63.24,63.43,63.61,63.65,63.58,63.38,63.42,63.49,63.59,63.58 | +| glass | 13.69,12.98,12.87,12.9,12.83,12.9,12.88,12.89,12.82,12.82,12.95 | +| clock | 34.84,34.71,34.77,34.76,34.8,34.75,34.77,34.74,34.73,34.7,34.77 | +| flag | 35.96,36.01,36.02,36.03,36.09,36.08,36.09,36.12,36.04,36.06,36.04 | ++---------------------+-------------------------------------------------------------------+ +2023-03-05 00:00:30,150 - mmseg - INFO - Summary: +2023-03-05 00:00:30,150 - mmseg - INFO - ++-------------------------------------------------------------------+ +| mIoU 0,10,20,30,40,50,60,70,80,90,99 | ++-------------------------------------------------------------------+ +| 48.35,48.68,48.68,48.69,48.69,48.69,48.69,48.69,48.69,48.69,48.72 | ++-------------------------------------------------------------------+ +2023-03-05 00:00:30,185 - mmseg - INFO - The previous best checkpoint /mnt/petrelfs/laizeqiang/mmseg-baseline/work_dirs2/ablation_segformer_mit_b2_segformer_head_unet_fc_small_multi_step_ade_pretrained_freeze_embed_160k_ade20k151_mask_finetune_maskonly/best_mIoU_iter_16000.pth was removed +2023-03-05 00:00:31,152 - mmseg - INFO - Now best checkpoint is saved as best_mIoU_iter_32000.pth. +2023-03-05 00:00:31,152 - mmseg - INFO - Best mIoU is 0.4872 at 32000 iter. +2023-03-05 00:00:31,152 - mmseg - INFO - Exp name: ablation_segformer_mit_b2_segformer_head_unet_fc_small_multi_step_ade_pretrained_freeze_embed_160k_ade20k151_mask_finetune_maskonly.py +2023-03-05 00:00:31,152 - mmseg - INFO - Iter(val) [250] mIoU: [0.4835, 0.4868, 0.4868, 0.4869, 0.4869, 0.4869, 0.4869, 0.4869, 0.4869, 0.4869, 0.4872], copy_paste: 48.35,48.68,48.68,48.69,48.69,48.69,48.69,48.69,48.69,48.69,48.72 +2023-03-05 00:00:31,159 - mmseg - INFO - Swap parameters (before train) before iter [32001] +2023-03-05 00:00:41,024 - mmseg - INFO - Iter [32050/160000] lr: 7.500e-05, eta: 8:37:58, time: 13.152, data_time: 12.963, memory: 52540, decode.loss_ce: 0.1943, decode.acc_seg: 91.9036, loss: 0.1943 +2023-03-05 00:00:50,821 - mmseg - INFO - Iter [32100/160000] lr: 7.500e-05, eta: 8:37:36, time: 0.196, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1982, decode.acc_seg: 91.8876, loss: 0.1982 +2023-03-05 00:01:00,549 - mmseg - INFO - Iter [32150/160000] lr: 7.500e-05, eta: 8:37:15, time: 0.195, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1862, decode.acc_seg: 92.3296, loss: 0.1862 +2023-03-05 00:01:12,658 - mmseg - INFO - Iter [32200/160000] lr: 7.500e-05, eta: 8:37:02, time: 0.242, data_time: 0.054, memory: 52540, decode.loss_ce: 0.1991, decode.acc_seg: 91.8542, loss: 0.1991 +2023-03-05 00:01:22,363 - mmseg - INFO - Iter [32250/160000] lr: 7.500e-05, eta: 8:36:41, time: 0.194, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1982, decode.acc_seg: 91.8816, loss: 0.1982 +2023-03-05 00:01:31,907 - mmseg - INFO - Iter [32300/160000] lr: 7.500e-05, eta: 8:36:18, time: 0.191, data_time: 0.007, memory: 52540, decode.loss_ce: 0.2029, decode.acc_seg: 91.6258, loss: 0.2029 +2023-03-05 00:01:41,362 - mmseg - INFO - Iter [32350/160000] lr: 7.500e-05, eta: 8:35:55, time: 0.189, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1929, decode.acc_seg: 92.1717, loss: 0.1929 +2023-03-05 00:01:50,945 - mmseg - INFO - Iter [32400/160000] lr: 7.500e-05, eta: 8:35:33, time: 0.191, data_time: 0.007, memory: 52540, decode.loss_ce: 0.2053, decode.acc_seg: 91.6434, loss: 0.2053 +2023-03-05 00:02:00,501 - mmseg - INFO - Iter [32450/160000] lr: 7.500e-05, eta: 8:35:11, time: 0.191, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1991, decode.acc_seg: 91.9331, loss: 0.1991 +2023-03-05 00:02:09,983 - mmseg - INFO - Iter [32500/160000] lr: 7.500e-05, eta: 8:34:49, time: 0.190, data_time: 0.007, memory: 52540, decode.loss_ce: 0.2049, decode.acc_seg: 91.7911, loss: 0.2049 +2023-03-05 00:02:19,629 - mmseg - INFO - Iter [32550/160000] lr: 7.500e-05, eta: 8:34:27, time: 0.193, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1974, decode.acc_seg: 92.0471, loss: 0.1974 +2023-03-05 00:02:29,417 - mmseg - INFO - Iter [32600/160000] lr: 7.500e-05, eta: 8:34:06, time: 0.196, data_time: 0.008, memory: 52540, decode.loss_ce: 0.2030, decode.acc_seg: 91.5882, loss: 0.2030 +2023-03-05 00:02:39,041 - mmseg - INFO - Iter [32650/160000] lr: 7.500e-05, eta: 8:33:44, time: 0.192, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1963, decode.acc_seg: 92.0729, loss: 0.1963 +2023-03-05 00:02:48,856 - mmseg - INFO - Iter [32700/160000] lr: 7.500e-05, eta: 8:33:23, time: 0.197, data_time: 0.007, memory: 52540, decode.loss_ce: 0.2057, decode.acc_seg: 91.7169, loss: 0.2057 +2023-03-05 00:02:58,297 - mmseg - INFO - Iter [32750/160000] lr: 7.500e-05, eta: 8:33:00, time: 0.189, data_time: 0.007, memory: 52540, decode.loss_ce: 0.2042, decode.acc_seg: 91.6931, loss: 0.2042 +2023-03-05 00:03:07,711 - mmseg - INFO - Iter [32800/160000] lr: 7.500e-05, eta: 8:32:38, time: 0.188, data_time: 0.007, memory: 52540, decode.loss_ce: 0.2107, decode.acc_seg: 91.4374, loss: 0.2107 +2023-03-05 00:03:20,432 - mmseg - INFO - Iter [32850/160000] lr: 7.500e-05, eta: 8:32:28, time: 0.254, data_time: 0.060, memory: 52540, decode.loss_ce: 0.1933, decode.acc_seg: 92.0841, loss: 0.1933 +2023-03-05 00:03:30,513 - mmseg - INFO - Iter [32900/160000] lr: 7.500e-05, eta: 8:32:08, time: 0.202, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1988, decode.acc_seg: 91.9084, loss: 0.1988 +2023-03-05 00:03:40,570 - mmseg - INFO - Iter [32950/160000] lr: 7.500e-05, eta: 8:31:49, time: 0.201, data_time: 0.007, memory: 52540, decode.loss_ce: 0.2038, decode.acc_seg: 91.7168, loss: 0.2038 +2023-03-05 00:03:50,036 - mmseg - INFO - Exp name: ablation_segformer_mit_b2_segformer_head_unet_fc_small_multi_step_ade_pretrained_freeze_embed_160k_ade20k151_mask_finetune_maskonly.py +2023-03-05 00:03:50,037 - mmseg - INFO - Iter [33000/160000] lr: 7.500e-05, eta: 8:31:26, time: 0.189, data_time: 0.007, memory: 52540, decode.loss_ce: 0.2026, decode.acc_seg: 91.8169, loss: 0.2026 +2023-03-05 00:03:59,631 - mmseg - INFO - Iter [33050/160000] lr: 7.500e-05, eta: 8:31:05, time: 0.192, data_time: 0.007, memory: 52540, decode.loss_ce: 0.2008, decode.acc_seg: 91.7052, loss: 0.2008 +2023-03-05 00:04:09,080 - mmseg - INFO - Iter [33100/160000] lr: 7.500e-05, eta: 8:30:43, time: 0.189, data_time: 0.007, memory: 52540, decode.loss_ce: 0.2022, decode.acc_seg: 91.7567, loss: 0.2022 +2023-03-05 00:04:18,759 - mmseg - INFO - Iter [33150/160000] lr: 7.500e-05, eta: 8:30:21, time: 0.194, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1945, decode.acc_seg: 92.0603, loss: 0.1945 +2023-03-05 00:04:28,261 - mmseg - INFO - Iter [33200/160000] lr: 7.500e-05, eta: 8:29:59, time: 0.190, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1980, decode.acc_seg: 91.8338, loss: 0.1980 +2023-03-05 00:04:38,135 - mmseg - INFO - Iter [33250/160000] lr: 7.500e-05, eta: 8:29:39, time: 0.197, data_time: 0.007, memory: 52540, decode.loss_ce: 0.2024, decode.acc_seg: 91.8078, loss: 0.2024 +2023-03-05 00:04:47,721 - mmseg - INFO - Iter [33300/160000] lr: 7.500e-05, eta: 8:29:18, time: 0.192, data_time: 0.007, memory: 52540, decode.loss_ce: 0.2026, decode.acc_seg: 91.7539, loss: 0.2026 +2023-03-05 00:04:57,473 - mmseg - INFO - Iter [33350/160000] lr: 7.500e-05, eta: 8:28:57, time: 0.195, data_time: 0.008, memory: 52540, decode.loss_ce: 0.1952, decode.acc_seg: 92.0466, loss: 0.1952 +2023-03-05 00:05:07,007 - mmseg - INFO - Iter [33400/160000] lr: 7.500e-05, eta: 8:28:35, time: 0.191, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1942, decode.acc_seg: 91.8973, loss: 0.1942 +2023-03-05 00:05:19,200 - mmseg - INFO - Iter [33450/160000] lr: 7.500e-05, eta: 8:28:24, time: 0.244, data_time: 0.054, memory: 52540, decode.loss_ce: 0.1956, decode.acc_seg: 92.0302, loss: 0.1956 +2023-03-05 00:05:29,205 - mmseg - INFO - Iter [33500/160000] lr: 7.500e-05, eta: 8:28:04, time: 0.200, data_time: 0.007, memory: 52540, decode.loss_ce: 0.2003, decode.acc_seg: 91.8527, loss: 0.2003 +2023-03-05 00:05:38,763 - mmseg - INFO - Iter [33550/160000] lr: 7.500e-05, eta: 8:27:42, time: 0.191, data_time: 0.008, memory: 52540, decode.loss_ce: 0.1983, decode.acc_seg: 91.9012, loss: 0.1983 +2023-03-05 00:05:48,459 - mmseg - INFO - Iter [33600/160000] lr: 7.500e-05, eta: 8:27:21, time: 0.194, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1988, decode.acc_seg: 91.8828, loss: 0.1988 +2023-03-05 00:05:58,027 - mmseg - INFO - Iter [33650/160000] lr: 7.500e-05, eta: 8:27:00, time: 0.191, data_time: 0.007, memory: 52540, decode.loss_ce: 0.2105, decode.acc_seg: 91.2639, loss: 0.2105 +2023-03-05 00:06:07,766 - mmseg - INFO - Iter [33700/160000] lr: 7.500e-05, eta: 8:26:39, time: 0.195, data_time: 0.008, memory: 52540, decode.loss_ce: 0.1918, decode.acc_seg: 91.9541, loss: 0.1918 +2023-03-05 00:06:17,728 - mmseg - INFO - Iter [33750/160000] lr: 7.500e-05, eta: 8:26:20, time: 0.199, data_time: 0.008, memory: 52540, decode.loss_ce: 0.2021, decode.acc_seg: 91.7274, loss: 0.2021 +2023-03-05 00:06:27,167 - mmseg - INFO - Iter [33800/160000] lr: 7.500e-05, eta: 8:25:58, time: 0.189, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1949, decode.acc_seg: 92.0608, loss: 0.1949 +2023-03-05 00:06:36,730 - mmseg - INFO - Iter [33850/160000] lr: 7.500e-05, eta: 8:25:37, time: 0.191, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1946, decode.acc_seg: 91.9854, loss: 0.1946 +2023-03-05 00:06:46,465 - mmseg - INFO - Iter [33900/160000] lr: 7.500e-05, eta: 8:25:16, time: 0.195, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1953, decode.acc_seg: 91.9266, loss: 0.1953 +2023-03-05 00:06:56,075 - mmseg - INFO - Iter [33950/160000] lr: 7.500e-05, eta: 8:24:55, time: 0.192, data_time: 0.007, memory: 52540, decode.loss_ce: 0.2042, decode.acc_seg: 91.6895, loss: 0.2042 +2023-03-05 00:07:05,852 - mmseg - INFO - Exp name: ablation_segformer_mit_b2_segformer_head_unet_fc_small_multi_step_ade_pretrained_freeze_embed_160k_ade20k151_mask_finetune_maskonly.py +2023-03-05 00:07:05,852 - mmseg - INFO - Iter [34000/160000] lr: 7.500e-05, eta: 8:24:35, time: 0.196, data_time: 0.007, memory: 52540, decode.loss_ce: 0.2003, decode.acc_seg: 91.9367, loss: 0.2003 +2023-03-05 00:07:15,615 - mmseg - INFO - Iter [34050/160000] lr: 7.500e-05, eta: 8:24:15, time: 0.195, data_time: 0.007, memory: 52540, decode.loss_ce: 0.2006, decode.acc_seg: 91.9129, loss: 0.2006 +2023-03-05 00:07:27,839 - mmseg - INFO - Iter [34100/160000] lr: 7.500e-05, eta: 8:24:03, time: 0.244, data_time: 0.053, memory: 52540, decode.loss_ce: 0.1889, decode.acc_seg: 92.1074, loss: 0.1889 +2023-03-05 00:07:37,417 - mmseg - INFO - Iter [34150/160000] lr: 7.500e-05, eta: 8:23:42, time: 0.192, data_time: 0.007, memory: 52540, decode.loss_ce: 0.2009, decode.acc_seg: 91.8386, loss: 0.2009 +2023-03-05 00:07:47,056 - mmseg - INFO - Iter [34200/160000] lr: 7.500e-05, eta: 8:23:22, time: 0.193, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1963, decode.acc_seg: 91.8839, loss: 0.1963 +2023-03-05 00:07:56,595 - mmseg - INFO - Iter [34250/160000] lr: 7.500e-05, eta: 8:23:01, time: 0.191, data_time: 0.007, memory: 52540, decode.loss_ce: 0.2003, decode.acc_seg: 91.7739, loss: 0.2003 +2023-03-05 00:08:06,093 - mmseg - INFO - Iter [34300/160000] lr: 7.500e-05, eta: 8:22:39, time: 0.190, data_time: 0.007, memory: 52540, decode.loss_ce: 0.2003, decode.acc_seg: 91.7788, loss: 0.2003 +2023-03-05 00:08:15,622 - mmseg - INFO - Iter [34350/160000] lr: 7.500e-05, eta: 8:22:18, time: 0.191, data_time: 0.007, memory: 52540, decode.loss_ce: 0.2008, decode.acc_seg: 91.8508, loss: 0.2008 +2023-03-05 00:08:25,389 - mmseg - INFO - Iter [34400/160000] lr: 7.500e-05, eta: 8:21:58, time: 0.195, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1988, decode.acc_seg: 91.7721, loss: 0.1988 +2023-03-05 00:08:35,191 - mmseg - INFO - Iter [34450/160000] lr: 7.500e-05, eta: 8:21:38, time: 0.196, data_time: 0.008, memory: 52540, decode.loss_ce: 0.1978, decode.acc_seg: 91.9272, loss: 0.1978 +2023-03-05 00:08:45,505 - mmseg - INFO - Iter [34500/160000] lr: 7.500e-05, eta: 8:21:20, time: 0.206, data_time: 0.007, memory: 52540, decode.loss_ce: 0.2020, decode.acc_seg: 91.7354, loss: 0.2020 +2023-03-05 00:08:54,981 - mmseg - INFO - Iter [34550/160000] lr: 7.500e-05, eta: 8:20:59, time: 0.190, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1991, decode.acc_seg: 91.8039, loss: 0.1991 +2023-03-05 00:09:04,610 - mmseg - INFO - Iter [34600/160000] lr: 7.500e-05, eta: 8:20:39, time: 0.193, data_time: 0.007, memory: 52540, decode.loss_ce: 0.2000, decode.acc_seg: 91.7884, loss: 0.2000 +2023-03-05 00:09:14,367 - mmseg - INFO - Iter [34650/160000] lr: 7.500e-05, eta: 8:20:19, time: 0.195, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1995, decode.acc_seg: 91.8186, loss: 0.1995 +2023-03-05 00:09:24,642 - mmseg - INFO - Iter [34700/160000] lr: 7.500e-05, eta: 8:20:01, time: 0.206, data_time: 0.008, memory: 52540, decode.loss_ce: 0.1975, decode.acc_seg: 91.9388, loss: 0.1975 +2023-03-05 00:09:36,693 - mmseg - INFO - Iter [34750/160000] lr: 7.500e-05, eta: 8:19:49, time: 0.241, data_time: 0.054, memory: 52540, decode.loss_ce: 0.1984, decode.acc_seg: 91.7924, loss: 0.1984 +2023-03-05 00:09:46,365 - mmseg - INFO - Iter [34800/160000] lr: 7.500e-05, eta: 8:19:29, time: 0.193, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1995, decode.acc_seg: 91.8824, loss: 0.1995 +2023-03-05 00:09:56,049 - mmseg - INFO - Iter [34850/160000] lr: 7.500e-05, eta: 8:19:08, time: 0.194, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1956, decode.acc_seg: 91.9977, loss: 0.1956 +2023-03-05 00:10:05,753 - mmseg - INFO - Iter [34900/160000] lr: 7.500e-05, eta: 8:18:48, time: 0.194, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1979, decode.acc_seg: 91.9994, loss: 0.1979 +2023-03-05 00:10:15,285 - mmseg - INFO - Iter [34950/160000] lr: 7.500e-05, eta: 8:18:28, time: 0.191, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1947, decode.acc_seg: 92.1422, loss: 0.1947 +2023-03-05 00:10:24,924 - mmseg - INFO - Exp name: ablation_segformer_mit_b2_segformer_head_unet_fc_small_multi_step_ade_pretrained_freeze_embed_160k_ade20k151_mask_finetune_maskonly.py +2023-03-05 00:10:24,924 - mmseg - INFO - Iter [35000/160000] lr: 7.500e-05, eta: 8:18:07, time: 0.193, data_time: 0.007, memory: 52540, decode.loss_ce: 0.2074, decode.acc_seg: 91.5190, loss: 0.2074 +2023-03-05 00:10:34,436 - mmseg - INFO - Iter [35050/160000] lr: 7.500e-05, eta: 8:17:47, time: 0.190, data_time: 0.007, memory: 52540, decode.loss_ce: 0.2025, decode.acc_seg: 91.6676, loss: 0.2025 +2023-03-05 00:10:44,070 - mmseg - INFO - Iter [35100/160000] lr: 7.500e-05, eta: 8:17:27, time: 0.193, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1890, decode.acc_seg: 92.2176, loss: 0.1890 +2023-03-05 00:10:53,879 - mmseg - INFO - Iter [35150/160000] lr: 7.500e-05, eta: 8:17:07, time: 0.196, data_time: 0.007, memory: 52540, decode.loss_ce: 0.2055, decode.acc_seg: 91.5946, loss: 0.2055 +2023-03-05 00:11:03,878 - mmseg - INFO - Iter [35200/160000] lr: 7.500e-05, eta: 8:16:48, time: 0.200, data_time: 0.008, memory: 52540, decode.loss_ce: 0.2078, decode.acc_seg: 91.5333, loss: 0.2078 +2023-03-05 00:11:13,439 - mmseg - INFO - Iter [35250/160000] lr: 7.500e-05, eta: 8:16:28, time: 0.191, data_time: 0.007, memory: 52540, decode.loss_ce: 0.2037, decode.acc_seg: 91.6308, loss: 0.2037 +2023-03-05 00:11:23,019 - mmseg - INFO - Iter [35300/160000] lr: 7.500e-05, eta: 8:16:07, time: 0.191, data_time: 0.007, memory: 52540, decode.loss_ce: 0.2017, decode.acc_seg: 91.7701, loss: 0.2017 +2023-03-05 00:11:35,758 - mmseg - INFO - Iter [35350/160000] lr: 7.500e-05, eta: 8:15:58, time: 0.255, data_time: 0.055, memory: 52540, decode.loss_ce: 0.1977, decode.acc_seg: 91.9730, loss: 0.1977 +2023-03-05 00:11:45,367 - mmseg - INFO - Iter [35400/160000] lr: 7.500e-05, eta: 8:15:38, time: 0.192, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1972, decode.acc_seg: 91.8606, loss: 0.1972 +2023-03-05 00:11:55,126 - mmseg - INFO - Iter [35450/160000] lr: 7.500e-05, eta: 8:15:19, time: 0.195, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1971, decode.acc_seg: 91.9509, loss: 0.1971 +2023-03-05 00:12:04,630 - mmseg - INFO - Iter [35500/160000] lr: 7.500e-05, eta: 8:14:58, time: 0.190, data_time: 0.007, memory: 52540, decode.loss_ce: 0.2037, decode.acc_seg: 91.8146, loss: 0.2037 +2023-03-05 00:12:14,211 - mmseg - INFO - Iter [35550/160000] lr: 7.500e-05, eta: 8:14:38, time: 0.192, data_time: 0.007, memory: 52540, decode.loss_ce: 0.2015, decode.acc_seg: 91.6393, loss: 0.2015 +2023-03-05 00:12:23,698 - mmseg - INFO - Iter [35600/160000] lr: 7.500e-05, eta: 8:14:18, time: 0.190, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1974, decode.acc_seg: 91.9766, loss: 0.1974 +2023-03-05 00:12:33,857 - mmseg - INFO - Iter [35650/160000] lr: 7.500e-05, eta: 8:14:00, time: 0.203, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1965, decode.acc_seg: 92.0568, loss: 0.1965 +2023-03-05 00:12:43,727 - mmseg - INFO - Iter [35700/160000] lr: 7.500e-05, eta: 8:13:41, time: 0.197, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1986, decode.acc_seg: 91.8579, loss: 0.1986 +2023-03-05 00:12:53,304 - mmseg - INFO - Iter [35750/160000] lr: 7.500e-05, eta: 8:13:21, time: 0.192, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1971, decode.acc_seg: 91.9262, loss: 0.1971 +2023-03-05 00:13:03,090 - mmseg - INFO - Iter [35800/160000] lr: 7.500e-05, eta: 8:13:01, time: 0.196, data_time: 0.007, memory: 52540, decode.loss_ce: 0.2057, decode.acc_seg: 91.6002, loss: 0.2057 +2023-03-05 00:13:12,743 - mmseg - INFO - Iter [35850/160000] lr: 7.500e-05, eta: 8:12:42, time: 0.193, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1943, decode.acc_seg: 92.0904, loss: 0.1943 +2023-03-05 00:13:22,344 - mmseg - INFO - Iter [35900/160000] lr: 7.500e-05, eta: 8:12:22, time: 0.192, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1950, decode.acc_seg: 92.0923, loss: 0.1950 +2023-03-05 00:13:32,028 - mmseg - INFO - Iter [35950/160000] lr: 7.500e-05, eta: 8:12:02, time: 0.194, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1971, decode.acc_seg: 91.8015, loss: 0.1971 +2023-03-05 00:13:44,274 - mmseg - INFO - Exp name: ablation_segformer_mit_b2_segformer_head_unet_fc_small_multi_step_ade_pretrained_freeze_embed_160k_ade20k151_mask_finetune_maskonly.py +2023-03-05 00:13:44,274 - mmseg - INFO - Iter [36000/160000] lr: 7.500e-05, eta: 8:11:51, time: 0.245, data_time: 0.057, memory: 52540, decode.loss_ce: 0.2013, decode.acc_seg: 91.7939, loss: 0.2013 +2023-03-05 00:13:54,579 - mmseg - INFO - Iter [36050/160000] lr: 7.500e-05, eta: 8:11:34, time: 0.206, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1900, decode.acc_seg: 92.1467, loss: 0.1900 +2023-03-05 00:14:04,599 - mmseg - INFO - Iter [36100/160000] lr: 7.500e-05, eta: 8:11:16, time: 0.200, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1979, decode.acc_seg: 91.9359, loss: 0.1979 +2023-03-05 00:14:14,284 - mmseg - INFO - Iter [36150/160000] lr: 7.500e-05, eta: 8:10:56, time: 0.194, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1989, decode.acc_seg: 91.7605, loss: 0.1989 +2023-03-05 00:14:24,005 - mmseg - INFO - Iter [36200/160000] lr: 7.500e-05, eta: 8:10:37, time: 0.194, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1976, decode.acc_seg: 91.9513, loss: 0.1976 +2023-03-05 00:14:33,459 - mmseg - INFO - Iter [36250/160000] lr: 7.500e-05, eta: 8:10:17, time: 0.189, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1959, decode.acc_seg: 91.9547, loss: 0.1959 +2023-03-05 00:14:43,206 - mmseg - INFO - Iter [36300/160000] lr: 7.500e-05, eta: 8:09:57, time: 0.195, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1882, decode.acc_seg: 92.2748, loss: 0.1882 +2023-03-05 00:14:52,721 - mmseg - INFO - Iter [36350/160000] lr: 7.500e-05, eta: 8:09:38, time: 0.190, data_time: 0.008, memory: 52540, decode.loss_ce: 0.1930, decode.acc_seg: 91.8656, loss: 0.1930 +2023-03-05 00:15:02,234 - mmseg - INFO - Iter [36400/160000] lr: 7.500e-05, eta: 8:09:18, time: 0.190, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1985, decode.acc_seg: 91.9219, loss: 0.1985 +2023-03-05 00:15:11,968 - mmseg - INFO - Iter [36450/160000] lr: 7.500e-05, eta: 8:08:59, time: 0.195, data_time: 0.007, memory: 52540, decode.loss_ce: 0.2094, decode.acc_seg: 91.4379, loss: 0.2094 +2023-03-05 00:15:21,706 - mmseg - INFO - Iter [36500/160000] lr: 7.500e-05, eta: 8:08:39, time: 0.195, data_time: 0.007, memory: 52540, decode.loss_ce: 0.2050, decode.acc_seg: 91.6710, loss: 0.2050 +2023-03-05 00:15:31,476 - mmseg - INFO - Iter [36550/160000] lr: 7.500e-05, eta: 8:08:20, time: 0.195, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1982, decode.acc_seg: 91.8992, loss: 0.1982 +2023-03-05 00:15:43,644 - mmseg - INFO - Iter [36600/160000] lr: 7.500e-05, eta: 8:08:10, time: 0.243, data_time: 0.055, memory: 52540, decode.loss_ce: 0.1980, decode.acc_seg: 91.8961, loss: 0.1980 +2023-03-05 00:15:53,146 - mmseg - INFO - Iter [36650/160000] lr: 7.500e-05, eta: 8:07:50, time: 0.190, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1979, decode.acc_seg: 91.9350, loss: 0.1979 +2023-03-05 00:16:02,572 - mmseg - INFO - Iter [36700/160000] lr: 7.500e-05, eta: 8:07:30, time: 0.188, data_time: 0.007, memory: 52540, decode.loss_ce: 0.2003, decode.acc_seg: 91.6298, loss: 0.2003 +2023-03-05 00:16:12,245 - mmseg - INFO - Iter [36750/160000] lr: 7.500e-05, eta: 8:07:10, time: 0.193, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1938, decode.acc_seg: 91.9945, loss: 0.1938 +2023-03-05 00:16:21,757 - mmseg - INFO - Iter [36800/160000] lr: 7.500e-05, eta: 8:06:51, time: 0.190, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1900, decode.acc_seg: 92.0928, loss: 0.1900 +2023-03-05 00:16:31,847 - mmseg - INFO - Iter [36850/160000] lr: 7.500e-05, eta: 8:06:33, time: 0.202, data_time: 0.007, memory: 52540, decode.loss_ce: 0.2046, decode.acc_seg: 91.8211, loss: 0.2046 +2023-03-05 00:16:41,673 - mmseg - INFO - Iter [36900/160000] lr: 7.500e-05, eta: 8:06:14, time: 0.197, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1958, decode.acc_seg: 92.1528, loss: 0.1958 +2023-03-05 00:16:51,205 - mmseg - INFO - Iter [36950/160000] lr: 7.500e-05, eta: 8:05:55, time: 0.190, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1886, decode.acc_seg: 92.3152, loss: 0.1886 +2023-03-05 00:17:01,061 - mmseg - INFO - Exp name: ablation_segformer_mit_b2_segformer_head_unet_fc_small_multi_step_ade_pretrained_freeze_embed_160k_ade20k151_mask_finetune_maskonly.py +2023-03-05 00:17:01,061 - mmseg - INFO - Iter [37000/160000] lr: 7.500e-05, eta: 8:05:36, time: 0.197, data_time: 0.007, memory: 52540, decode.loss_ce: 0.2031, decode.acc_seg: 91.7050, loss: 0.2031 +2023-03-05 00:17:10,883 - mmseg - INFO - Iter [37050/160000] lr: 7.500e-05, eta: 8:05:18, time: 0.196, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1938, decode.acc_seg: 91.9754, loss: 0.1938 +2023-03-05 00:17:20,367 - mmseg - INFO - Iter [37100/160000] lr: 7.500e-05, eta: 8:04:58, time: 0.190, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1948, decode.acc_seg: 92.0114, loss: 0.1948 +2023-03-05 00:17:29,832 - mmseg - INFO - Iter [37150/160000] lr: 7.500e-05, eta: 8:04:38, time: 0.189, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1942, decode.acc_seg: 91.9316, loss: 0.1942 +2023-03-05 00:17:39,322 - mmseg - INFO - Iter [37200/160000] lr: 7.500e-05, eta: 8:04:19, time: 0.190, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1970, decode.acc_seg: 91.8874, loss: 0.1970 +2023-03-05 00:17:51,496 - mmseg - INFO - Iter [37250/160000] lr: 7.500e-05, eta: 8:04:08, time: 0.243, data_time: 0.053, memory: 52540, decode.loss_ce: 0.1975, decode.acc_seg: 92.0065, loss: 0.1975 +2023-03-05 00:18:01,378 - mmseg - INFO - Iter [37300/160000] lr: 7.500e-05, eta: 8:03:50, time: 0.198, data_time: 0.007, memory: 52540, decode.loss_ce: 0.2063, decode.acc_seg: 91.6797, loss: 0.2063 +2023-03-05 00:18:11,203 - mmseg - INFO - Iter [37350/160000] lr: 7.500e-05, eta: 8:03:31, time: 0.196, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1968, decode.acc_seg: 91.9805, loss: 0.1968 +2023-03-05 00:18:20,930 - mmseg - INFO - Iter [37400/160000] lr: 7.500e-05, eta: 8:03:13, time: 0.195, data_time: 0.007, memory: 52540, decode.loss_ce: 0.2011, decode.acc_seg: 91.8809, loss: 0.2011 +2023-03-05 00:18:30,479 - mmseg - INFO - Iter [37450/160000] lr: 7.500e-05, eta: 8:02:54, time: 0.191, data_time: 0.007, memory: 52540, decode.loss_ce: 0.2039, decode.acc_seg: 91.6116, loss: 0.2039 +2023-03-05 00:18:40,065 - mmseg - INFO - Iter [37500/160000] lr: 7.500e-05, eta: 8:02:34, time: 0.192, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1957, decode.acc_seg: 91.8910, loss: 0.1957 +2023-03-05 00:18:49,754 - mmseg - INFO - Iter [37550/160000] lr: 7.500e-05, eta: 8:02:16, time: 0.194, data_time: 0.008, memory: 52540, decode.loss_ce: 0.2083, decode.acc_seg: 91.6154, loss: 0.2083 +2023-03-05 00:18:59,422 - mmseg - INFO - Iter [37600/160000] lr: 7.500e-05, eta: 8:01:57, time: 0.193, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1961, decode.acc_seg: 92.0612, loss: 0.1961 +2023-03-05 00:19:09,041 - mmseg - INFO - Iter [37650/160000] lr: 7.500e-05, eta: 8:01:38, time: 0.192, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1985, decode.acc_seg: 91.8724, loss: 0.1985 +2023-03-05 00:19:18,607 - mmseg - INFO - Iter [37700/160000] lr: 7.500e-05, eta: 8:01:19, time: 0.192, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1976, decode.acc_seg: 91.7500, loss: 0.1976 +2023-03-05 00:19:28,267 - mmseg - INFO - Iter [37750/160000] lr: 7.500e-05, eta: 8:01:00, time: 0.193, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1934, decode.acc_seg: 91.9968, loss: 0.1934 +2023-03-05 00:19:37,748 - mmseg - INFO - Iter [37800/160000] lr: 7.500e-05, eta: 8:00:41, time: 0.190, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1976, decode.acc_seg: 91.7806, loss: 0.1976 +2023-03-05 00:19:47,486 - mmseg - INFO - Iter [37850/160000] lr: 7.500e-05, eta: 8:00:22, time: 0.195, data_time: 0.008, memory: 52540, decode.loss_ce: 0.1965, decode.acc_seg: 91.8557, loss: 0.1965 +2023-03-05 00:19:59,596 - mmseg - INFO - Iter [37900/160000] lr: 7.500e-05, eta: 8:00:11, time: 0.242, data_time: 0.054, memory: 52540, decode.loss_ce: 0.2006, decode.acc_seg: 91.7345, loss: 0.2006 +2023-03-05 00:20:09,312 - mmseg - INFO - Iter [37950/160000] lr: 7.500e-05, eta: 7:59:53, time: 0.194, data_time: 0.008, memory: 52540, decode.loss_ce: 0.1953, decode.acc_seg: 91.9231, loss: 0.1953 +2023-03-05 00:20:19,036 - mmseg - INFO - Exp name: ablation_segformer_mit_b2_segformer_head_unet_fc_small_multi_step_ade_pretrained_freeze_embed_160k_ade20k151_mask_finetune_maskonly.py +2023-03-05 00:20:19,036 - mmseg - INFO - Iter [38000/160000] lr: 7.500e-05, eta: 7:59:35, time: 0.194, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1951, decode.acc_seg: 92.0438, loss: 0.1951 +2023-03-05 00:20:28,564 - mmseg - INFO - Iter [38050/160000] lr: 7.500e-05, eta: 7:59:15, time: 0.191, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1979, decode.acc_seg: 91.9169, loss: 0.1979 +2023-03-05 00:20:38,134 - mmseg - INFO - Iter [38100/160000] lr: 7.500e-05, eta: 7:58:57, time: 0.191, data_time: 0.008, memory: 52540, decode.loss_ce: 0.2057, decode.acc_seg: 91.6418, loss: 0.2057 +2023-03-05 00:20:47,674 - mmseg - INFO - Iter [38150/160000] lr: 7.500e-05, eta: 7:58:38, time: 0.191, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1868, decode.acc_seg: 92.3531, loss: 0.1868 +2023-03-05 00:20:57,120 - mmseg - INFO - Iter [38200/160000] lr: 7.500e-05, eta: 7:58:18, time: 0.189, data_time: 0.008, memory: 52540, decode.loss_ce: 0.2018, decode.acc_seg: 91.8206, loss: 0.2018 +2023-03-05 00:21:06,689 - mmseg - INFO - Iter [38250/160000] lr: 7.500e-05, eta: 7:58:00, time: 0.192, data_time: 0.007, memory: 52540, decode.loss_ce: 0.2002, decode.acc_seg: 91.6854, loss: 0.2002 +2023-03-05 00:21:16,137 - mmseg - INFO - Iter [38300/160000] lr: 7.500e-05, eta: 7:57:40, time: 0.189, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1996, decode.acc_seg: 91.7318, loss: 0.1996 +2023-03-05 00:21:25,797 - mmseg - INFO - Iter [38350/160000] lr: 7.500e-05, eta: 7:57:22, time: 0.193, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1910, decode.acc_seg: 91.9350, loss: 0.1910 +2023-03-05 00:21:35,399 - mmseg - INFO - Iter [38400/160000] lr: 7.500e-05, eta: 7:57:03, time: 0.192, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1991, decode.acc_seg: 91.7874, loss: 0.1991 +2023-03-05 00:21:44,980 - mmseg - INFO - Iter [38450/160000] lr: 7.500e-05, eta: 7:56:45, time: 0.192, data_time: 0.008, memory: 52540, decode.loss_ce: 0.2034, decode.acc_seg: 91.6811, loss: 0.2034 +2023-03-05 00:21:57,038 - mmseg - INFO - Iter [38500/160000] lr: 7.500e-05, eta: 7:56:34, time: 0.241, data_time: 0.055, memory: 52540, decode.loss_ce: 0.2042, decode.acc_seg: 91.6531, loss: 0.2042 +2023-03-05 00:22:06,635 - mmseg - INFO - Iter [38550/160000] lr: 7.500e-05, eta: 7:56:15, time: 0.192, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1878, decode.acc_seg: 92.2478, loss: 0.1878 +2023-03-05 00:22:16,445 - mmseg - INFO - Iter [38600/160000] lr: 7.500e-05, eta: 7:55:57, time: 0.196, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1982, decode.acc_seg: 91.8792, loss: 0.1982 +2023-03-05 00:22:26,408 - mmseg - INFO - Iter [38650/160000] lr: 7.500e-05, eta: 7:55:40, time: 0.199, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1964, decode.acc_seg: 91.9383, loss: 0.1964 +2023-03-05 00:22:36,210 - mmseg - INFO - Iter [38700/160000] lr: 7.500e-05, eta: 7:55:22, time: 0.196, data_time: 0.007, memory: 52540, decode.loss_ce: 0.2000, decode.acc_seg: 91.6140, loss: 0.2000 +2023-03-05 00:22:46,149 - mmseg - INFO - Iter [38750/160000] lr: 7.500e-05, eta: 7:55:04, time: 0.199, data_time: 0.008, memory: 52540, decode.loss_ce: 0.2057, decode.acc_seg: 91.6126, loss: 0.2057 +2023-03-05 00:22:55,569 - mmseg - INFO - Iter [38800/160000] lr: 7.500e-05, eta: 7:54:45, time: 0.188, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1956, decode.acc_seg: 91.9400, loss: 0.1956 +2023-03-05 00:23:05,421 - mmseg - INFO - Iter [38850/160000] lr: 7.500e-05, eta: 7:54:28, time: 0.197, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1964, decode.acc_seg: 91.9017, loss: 0.1964 +2023-03-05 00:23:14,844 - mmseg - INFO - Iter [38900/160000] lr: 7.500e-05, eta: 7:54:09, time: 0.188, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1982, decode.acc_seg: 91.8467, loss: 0.1982 +2023-03-05 00:23:24,485 - mmseg - INFO - Iter [38950/160000] lr: 7.500e-05, eta: 7:53:50, time: 0.193, data_time: 0.007, memory: 52540, decode.loss_ce: 0.2033, decode.acc_seg: 91.6640, loss: 0.2033 +2023-03-05 00:23:34,049 - mmseg - INFO - Exp name: ablation_segformer_mit_b2_segformer_head_unet_fc_small_multi_step_ade_pretrained_freeze_embed_160k_ade20k151_mask_finetune_maskonly.py +2023-03-05 00:23:34,049 - mmseg - INFO - Iter [39000/160000] lr: 7.500e-05, eta: 7:53:32, time: 0.191, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1988, decode.acc_seg: 91.7884, loss: 0.1988 +2023-03-05 00:23:43,859 - mmseg - INFO - Iter [39050/160000] lr: 7.500e-05, eta: 7:53:14, time: 0.196, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1946, decode.acc_seg: 91.9153, loss: 0.1946 +2023-03-05 00:23:53,570 - mmseg - INFO - Iter [39100/160000] lr: 7.500e-05, eta: 7:52:56, time: 0.194, data_time: 0.007, memory: 52540, decode.loss_ce: 0.2072, decode.acc_seg: 91.7119, loss: 0.2072 +2023-03-05 00:24:05,537 - mmseg - INFO - Iter [39150/160000] lr: 7.500e-05, eta: 7:52:45, time: 0.239, data_time: 0.056, memory: 52540, decode.loss_ce: 0.1951, decode.acc_seg: 91.9413, loss: 0.1951 +2023-03-05 00:24:15,301 - mmseg - INFO - Iter [39200/160000] lr: 7.500e-05, eta: 7:52:27, time: 0.195, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1953, decode.acc_seg: 92.0033, loss: 0.1953 +2023-03-05 00:24:25,014 - mmseg - INFO - Iter [39250/160000] lr: 7.500e-05, eta: 7:52:09, time: 0.194, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1935, decode.acc_seg: 91.9464, loss: 0.1935 +2023-03-05 00:24:34,978 - mmseg - INFO - Iter [39300/160000] lr: 7.500e-05, eta: 7:51:52, time: 0.199, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1948, decode.acc_seg: 91.9093, loss: 0.1948 +2023-03-05 00:24:44,763 - mmseg - INFO - Iter [39350/160000] lr: 7.500e-05, eta: 7:51:35, time: 0.196, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1980, decode.acc_seg: 91.9549, loss: 0.1980 +2023-03-05 00:24:54,310 - mmseg - INFO - Iter [39400/160000] lr: 7.500e-05, eta: 7:51:16, time: 0.191, data_time: 0.007, memory: 52540, decode.loss_ce: 0.2018, decode.acc_seg: 91.8753, loss: 0.2018 +2023-03-05 00:25:03,948 - mmseg - INFO - Iter [39450/160000] lr: 7.500e-05, eta: 7:50:58, time: 0.193, data_time: 0.007, memory: 52540, decode.loss_ce: 0.2047, decode.acc_seg: 91.6376, loss: 0.2047 +2023-03-05 00:25:13,576 - mmseg - INFO - Iter [39500/160000] lr: 7.500e-05, eta: 7:50:40, time: 0.193, data_time: 0.007, memory: 52540, decode.loss_ce: 0.2013, decode.acc_seg: 91.7088, loss: 0.2013 +2023-03-05 00:25:23,198 - mmseg - INFO - Iter [39550/160000] lr: 7.500e-05, eta: 7:50:22, time: 0.192, data_time: 0.008, memory: 52540, decode.loss_ce: 0.1963, decode.acc_seg: 91.8902, loss: 0.1963 +2023-03-05 00:25:32,634 - mmseg - INFO - Iter [39600/160000] lr: 7.500e-05, eta: 7:50:03, time: 0.189, data_time: 0.007, memory: 52540, decode.loss_ce: 0.2050, decode.acc_seg: 91.6334, loss: 0.2050 +2023-03-05 00:25:42,320 - mmseg - INFO - Iter [39650/160000] lr: 7.500e-05, eta: 7:49:45, time: 0.194, data_time: 0.008, memory: 52540, decode.loss_ce: 0.1954, decode.acc_seg: 91.9831, loss: 0.1954 +2023-03-05 00:25:51,984 - mmseg - INFO - Iter [39700/160000] lr: 7.500e-05, eta: 7:49:27, time: 0.193, data_time: 0.007, memory: 52540, decode.loss_ce: 0.2061, decode.acc_seg: 91.5645, loss: 0.2061 +2023-03-05 00:26:01,891 - mmseg - INFO - Iter [39750/160000] lr: 7.500e-05, eta: 7:49:10, time: 0.198, data_time: 0.008, memory: 52540, decode.loss_ce: 0.1969, decode.acc_seg: 91.9362, loss: 0.1969 +2023-03-05 00:26:14,216 - mmseg - INFO - Iter [39800/160000] lr: 7.500e-05, eta: 7:49:00, time: 0.246, data_time: 0.054, memory: 52540, decode.loss_ce: 0.1908, decode.acc_seg: 92.2821, loss: 0.1908 +2023-03-05 00:26:23,925 - mmseg - INFO - Iter [39850/160000] lr: 7.500e-05, eta: 7:48:43, time: 0.194, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1973, decode.acc_seg: 91.9632, loss: 0.1973 +2023-03-05 00:26:33,634 - mmseg - INFO - Iter [39900/160000] lr: 7.500e-05, eta: 7:48:25, time: 0.194, data_time: 0.007, memory: 52540, decode.loss_ce: 0.2026, decode.acc_seg: 91.7215, loss: 0.2026 +2023-03-05 00:26:43,103 - mmseg - INFO - Iter [39950/160000] lr: 7.500e-05, eta: 7:48:07, time: 0.189, data_time: 0.007, memory: 52540, decode.loss_ce: 0.2036, decode.acc_seg: 91.6465, loss: 0.2036 +2023-03-05 00:26:52,878 - mmseg - INFO - Exp name: ablation_segformer_mit_b2_segformer_head_unet_fc_small_multi_step_ade_pretrained_freeze_embed_160k_ade20k151_mask_finetune_maskonly.py +2023-03-05 00:26:52,878 - mmseg - INFO - Iter [40000/160000] lr: 7.500e-05, eta: 7:47:49, time: 0.195, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1965, decode.acc_seg: 92.0509, loss: 0.1965 +2023-03-05 00:27:02,535 - mmseg - INFO - Iter [40050/160000] lr: 3.750e-05, eta: 7:47:31, time: 0.193, data_time: 0.007, memory: 52540, decode.loss_ce: 0.2029, decode.acc_seg: 91.7845, loss: 0.2029 +2023-03-05 00:27:12,025 - mmseg - INFO - Iter [40100/160000] lr: 3.750e-05, eta: 7:47:13, time: 0.190, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1964, decode.acc_seg: 91.8442, loss: 0.1964 +2023-03-05 00:27:21,900 - mmseg - INFO - Iter [40150/160000] lr: 3.750e-05, eta: 7:46:56, time: 0.197, data_time: 0.007, memory: 52540, decode.loss_ce: 0.2014, decode.acc_seg: 91.6242, loss: 0.2014 +2023-03-05 00:27:31,460 - mmseg - INFO - Iter [40200/160000] lr: 3.750e-05, eta: 7:46:38, time: 0.191, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1858, decode.acc_seg: 92.2685, loss: 0.1858 +2023-03-05 00:27:41,401 - mmseg - INFO - Iter [40250/160000] lr: 3.750e-05, eta: 7:46:21, time: 0.199, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1973, decode.acc_seg: 92.0797, loss: 0.1973 +2023-03-05 00:27:50,929 - mmseg - INFO - Iter [40300/160000] lr: 3.750e-05, eta: 7:46:03, time: 0.191, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1933, decode.acc_seg: 92.0104, loss: 0.1933 +2023-03-05 00:28:00,554 - mmseg - INFO - Iter [40350/160000] lr: 3.750e-05, eta: 7:45:45, time: 0.192, data_time: 0.008, memory: 52540, decode.loss_ce: 0.2070, decode.acc_seg: 91.5237, loss: 0.2070 +2023-03-05 00:28:12,779 - mmseg - INFO - Iter [40400/160000] lr: 3.750e-05, eta: 7:45:35, time: 0.244, data_time: 0.054, memory: 52540, decode.loss_ce: 0.1968, decode.acc_seg: 92.0271, loss: 0.1968 +2023-03-05 00:28:22,333 - mmseg - INFO - Iter [40450/160000] lr: 3.750e-05, eta: 7:45:17, time: 0.191, data_time: 0.007, memory: 52540, decode.loss_ce: 0.2051, decode.acc_seg: 91.6467, loss: 0.2051 +2023-03-05 00:28:31,980 - mmseg - INFO - Iter [40500/160000] lr: 3.750e-05, eta: 7:44:59, time: 0.193, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1946, decode.acc_seg: 91.9167, loss: 0.1946 +2023-03-05 00:28:41,576 - mmseg - INFO - Iter [40550/160000] lr: 3.750e-05, eta: 7:44:42, time: 0.192, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1932, decode.acc_seg: 92.1463, loss: 0.1932 +2023-03-05 00:28:51,033 - mmseg - INFO - Iter [40600/160000] lr: 3.750e-05, eta: 7:44:24, time: 0.189, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1960, decode.acc_seg: 92.0409, loss: 0.1960 +2023-03-05 00:29:00,487 - mmseg - INFO - Iter [40650/160000] lr: 3.750e-05, eta: 7:44:05, time: 0.189, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1924, decode.acc_seg: 92.0211, loss: 0.1924 +2023-03-05 00:29:10,030 - mmseg - INFO - Iter [40700/160000] lr: 3.750e-05, eta: 7:43:47, time: 0.191, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1915, decode.acc_seg: 92.2808, loss: 0.1915 +2023-03-05 00:29:19,702 - mmseg - INFO - Iter [40750/160000] lr: 3.750e-05, eta: 7:43:30, time: 0.194, data_time: 0.008, memory: 52540, decode.loss_ce: 0.1972, decode.acc_seg: 91.8320, loss: 0.1972 +2023-03-05 00:29:29,493 - mmseg - INFO - Iter [40800/160000] lr: 3.750e-05, eta: 7:43:13, time: 0.196, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1979, decode.acc_seg: 91.6954, loss: 0.1979 +2023-03-05 00:29:38,921 - mmseg - INFO - Iter [40850/160000] lr: 3.750e-05, eta: 7:42:55, time: 0.189, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1902, decode.acc_seg: 92.1710, loss: 0.1902 +2023-03-05 00:29:48,894 - mmseg - INFO - Iter [40900/160000] lr: 3.750e-05, eta: 7:42:38, time: 0.199, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1901, decode.acc_seg: 92.0873, loss: 0.1901 +2023-03-05 00:29:58,681 - mmseg - INFO - Iter [40950/160000] lr: 3.750e-05, eta: 7:42:21, time: 0.195, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1824, decode.acc_seg: 92.4572, loss: 0.1824 +2023-03-05 00:30:08,097 - mmseg - INFO - Exp name: ablation_segformer_mit_b2_segformer_head_unet_fc_small_multi_step_ade_pretrained_freeze_embed_160k_ade20k151_mask_finetune_maskonly.py +2023-03-05 00:30:08,097 - mmseg - INFO - Iter [41000/160000] lr: 3.750e-05, eta: 7:42:03, time: 0.189, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1911, decode.acc_seg: 92.2424, loss: 0.1911 +2023-03-05 00:30:20,309 - mmseg - INFO - Iter [41050/160000] lr: 3.750e-05, eta: 7:41:53, time: 0.244, data_time: 0.057, memory: 52540, decode.loss_ce: 0.1940, decode.acc_seg: 92.1097, loss: 0.1940 +2023-03-05 00:30:30,070 - mmseg - INFO - Iter [41100/160000] lr: 3.750e-05, eta: 7:41:36, time: 0.195, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1930, decode.acc_seg: 92.0683, loss: 0.1930 +2023-03-05 00:30:39,525 - mmseg - INFO - Iter [41150/160000] lr: 3.750e-05, eta: 7:41:18, time: 0.189, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1936, decode.acc_seg: 92.0110, loss: 0.1936 +2023-03-05 00:30:49,071 - mmseg - INFO - Iter [41200/160000] lr: 3.750e-05, eta: 7:41:00, time: 0.191, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1977, decode.acc_seg: 92.0800, loss: 0.1977 +2023-03-05 00:30:58,562 - mmseg - INFO - Iter [41250/160000] lr: 3.750e-05, eta: 7:40:42, time: 0.190, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1915, decode.acc_seg: 92.1301, loss: 0.1915 +2023-03-05 00:31:08,377 - mmseg - INFO - Iter [41300/160000] lr: 3.750e-05, eta: 7:40:25, time: 0.196, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1938, decode.acc_seg: 91.9816, loss: 0.1938 +2023-03-05 00:31:17,952 - mmseg - INFO - Iter [41350/160000] lr: 3.750e-05, eta: 7:40:08, time: 0.191, data_time: 0.007, memory: 52540, decode.loss_ce: 0.2003, decode.acc_seg: 91.7062, loss: 0.2003 +2023-03-05 00:31:27,541 - mmseg - INFO - Iter [41400/160000] lr: 3.750e-05, eta: 7:39:50, time: 0.192, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1883, decode.acc_seg: 92.2374, loss: 0.1883 +2023-03-05 00:31:37,133 - mmseg - INFO - Iter [41450/160000] lr: 3.750e-05, eta: 7:39:33, time: 0.192, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1942, decode.acc_seg: 92.0704, loss: 0.1942 +2023-03-05 00:31:46,756 - mmseg - INFO - Iter [41500/160000] lr: 3.750e-05, eta: 7:39:16, time: 0.192, data_time: 0.008, memory: 52540, decode.loss_ce: 0.1942, decode.acc_seg: 91.9590, loss: 0.1942 +2023-03-05 00:31:56,644 - mmseg - INFO - Iter [41550/160000] lr: 3.750e-05, eta: 7:38:59, time: 0.198, data_time: 0.008, memory: 52540, decode.loss_ce: 0.2019, decode.acc_seg: 91.7439, loss: 0.2019 +2023-03-05 00:32:06,131 - mmseg - INFO - Iter [41600/160000] lr: 3.750e-05, eta: 7:38:41, time: 0.190, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1989, decode.acc_seg: 91.8835, loss: 0.1989 +2023-03-05 00:32:18,211 - mmseg - INFO - Iter [41650/160000] lr: 3.750e-05, eta: 7:38:31, time: 0.242, data_time: 0.054, memory: 52540, decode.loss_ce: 0.1959, decode.acc_seg: 91.8528, loss: 0.1959 +2023-03-05 00:32:27,881 - mmseg - INFO - Iter [41700/160000] lr: 3.750e-05, eta: 7:38:14, time: 0.193, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1908, decode.acc_seg: 92.2682, loss: 0.1908 +2023-03-05 00:32:37,330 - mmseg - INFO - Iter [41750/160000] lr: 3.750e-05, eta: 7:37:56, time: 0.189, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1960, decode.acc_seg: 91.9779, loss: 0.1960 +2023-03-05 00:32:47,151 - mmseg - INFO - Iter [41800/160000] lr: 3.750e-05, eta: 7:37:39, time: 0.196, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1915, decode.acc_seg: 92.0156, loss: 0.1915 +2023-03-05 00:32:56,658 - mmseg - INFO - Iter [41850/160000] lr: 3.750e-05, eta: 7:37:22, time: 0.190, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1944, decode.acc_seg: 92.1210, loss: 0.1944 +2023-03-05 00:33:06,078 - mmseg - INFO - Iter [41900/160000] lr: 3.750e-05, eta: 7:37:04, time: 0.188, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1847, decode.acc_seg: 92.3556, loss: 0.1847 +2023-03-05 00:33:15,612 - mmseg - INFO - Iter [41950/160000] lr: 3.750e-05, eta: 7:36:46, time: 0.191, data_time: 0.008, memory: 52540, decode.loss_ce: 0.1943, decode.acc_seg: 92.1267, loss: 0.1943 +2023-03-05 00:33:25,293 - mmseg - INFO - Exp name: ablation_segformer_mit_b2_segformer_head_unet_fc_small_multi_step_ade_pretrained_freeze_embed_160k_ade20k151_mask_finetune_maskonly.py +2023-03-05 00:33:25,293 - mmseg - INFO - Iter [42000/160000] lr: 3.750e-05, eta: 7:36:29, time: 0.193, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1893, decode.acc_seg: 92.1735, loss: 0.1893 +2023-03-05 00:33:34,916 - mmseg - INFO - Iter [42050/160000] lr: 3.750e-05, eta: 7:36:12, time: 0.192, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1950, decode.acc_seg: 92.1022, loss: 0.1950 +2023-03-05 00:33:44,417 - mmseg - INFO - Iter [42100/160000] lr: 3.750e-05, eta: 7:35:55, time: 0.190, data_time: 0.008, memory: 52540, decode.loss_ce: 0.1957, decode.acc_seg: 92.0456, loss: 0.1957 +2023-03-05 00:33:54,346 - mmseg - INFO - Iter [42150/160000] lr: 3.750e-05, eta: 7:35:38, time: 0.199, data_time: 0.008, memory: 52540, decode.loss_ce: 0.1979, decode.acc_seg: 91.8303, loss: 0.1979 +2023-03-05 00:34:04,102 - mmseg - INFO - Iter [42200/160000] lr: 3.750e-05, eta: 7:35:22, time: 0.195, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1959, decode.acc_seg: 91.9722, loss: 0.1959 +2023-03-05 00:34:13,890 - mmseg - INFO - Iter [42250/160000] lr: 3.750e-05, eta: 7:35:05, time: 0.196, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1903, decode.acc_seg: 92.1226, loss: 0.1903 +2023-03-05 00:34:25,774 - mmseg - INFO - Iter [42300/160000] lr: 3.750e-05, eta: 7:34:54, time: 0.238, data_time: 0.055, memory: 52540, decode.loss_ce: 0.1913, decode.acc_seg: 92.1986, loss: 0.1913 +2023-03-05 00:34:35,537 - mmseg - INFO - Iter [42350/160000] lr: 3.750e-05, eta: 7:34:38, time: 0.195, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1930, decode.acc_seg: 92.0893, loss: 0.1930 +2023-03-05 00:34:45,191 - mmseg - INFO - Iter [42400/160000] lr: 3.750e-05, eta: 7:34:21, time: 0.193, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1862, decode.acc_seg: 92.2177, loss: 0.1862 +2023-03-05 00:34:55,130 - mmseg - INFO - Iter [42450/160000] lr: 3.750e-05, eta: 7:34:04, time: 0.199, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1976, decode.acc_seg: 91.8221, loss: 0.1976 +2023-03-05 00:35:04,561 - mmseg - INFO - Iter [42500/160000] lr: 3.750e-05, eta: 7:33:47, time: 0.189, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1925, decode.acc_seg: 92.0964, loss: 0.1925 +2023-03-05 00:35:14,142 - mmseg - INFO - Iter [42550/160000] lr: 3.750e-05, eta: 7:33:30, time: 0.192, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1947, decode.acc_seg: 92.1435, loss: 0.1947 +2023-03-05 00:35:23,661 - mmseg - INFO - Iter [42600/160000] lr: 3.750e-05, eta: 7:33:13, time: 0.190, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1909, decode.acc_seg: 92.3260, loss: 0.1909 +2023-03-05 00:35:33,308 - mmseg - INFO - Iter [42650/160000] lr: 3.750e-05, eta: 7:32:56, time: 0.193, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1943, decode.acc_seg: 92.0319, loss: 0.1943 +2023-03-05 00:35:43,126 - mmseg - INFO - Iter [42700/160000] lr: 3.750e-05, eta: 7:32:39, time: 0.197, data_time: 0.008, memory: 52540, decode.loss_ce: 0.1934, decode.acc_seg: 92.0033, loss: 0.1934 +2023-03-05 00:35:52,989 - mmseg - INFO - Iter [42750/160000] lr: 3.750e-05, eta: 7:32:23, time: 0.197, data_time: 0.008, memory: 52540, decode.loss_ce: 0.1876, decode.acc_seg: 92.2502, loss: 0.1876 +2023-03-05 00:36:02,584 - mmseg - INFO - Iter [42800/160000] lr: 3.750e-05, eta: 7:32:06, time: 0.192, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1884, decode.acc_seg: 92.2345, loss: 0.1884 +2023-03-05 00:36:11,994 - mmseg - INFO - Iter [42850/160000] lr: 3.750e-05, eta: 7:31:48, time: 0.188, data_time: 0.007, memory: 52540, decode.loss_ce: 0.2019, decode.acc_seg: 91.9034, loss: 0.2019 +2023-03-05 00:36:21,660 - mmseg - INFO - Iter [42900/160000] lr: 3.750e-05, eta: 7:31:32, time: 0.193, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1973, decode.acc_seg: 91.9100, loss: 0.1973 +2023-03-05 00:36:33,867 - mmseg - INFO - Iter [42950/160000] lr: 3.750e-05, eta: 7:31:22, time: 0.244, data_time: 0.054, memory: 52540, decode.loss_ce: 0.1951, decode.acc_seg: 92.1262, loss: 0.1951 +2023-03-05 00:36:43,583 - mmseg - INFO - Exp name: ablation_segformer_mit_b2_segformer_head_unet_fc_small_multi_step_ade_pretrained_freeze_embed_160k_ade20k151_mask_finetune_maskonly.py +2023-03-05 00:36:43,583 - mmseg - INFO - Iter [43000/160000] lr: 3.750e-05, eta: 7:31:05, time: 0.194, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1951, decode.acc_seg: 91.9358, loss: 0.1951 +2023-03-05 00:36:53,230 - mmseg - INFO - Iter [43050/160000] lr: 3.750e-05, eta: 7:30:48, time: 0.193, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1951, decode.acc_seg: 91.9634, loss: 0.1951 +2023-03-05 00:37:03,054 - mmseg - INFO - Iter [43100/160000] lr: 3.750e-05, eta: 7:30:32, time: 0.196, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1934, decode.acc_seg: 91.9843, loss: 0.1934 +2023-03-05 00:37:12,676 - mmseg - INFO - Iter [43150/160000] lr: 3.750e-05, eta: 7:30:15, time: 0.192, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1841, decode.acc_seg: 92.3773, loss: 0.1841 +2023-03-05 00:37:22,254 - mmseg - INFO - Iter [43200/160000] lr: 3.750e-05, eta: 7:29:58, time: 0.192, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1943, decode.acc_seg: 91.9459, loss: 0.1943 +2023-03-05 00:37:31,984 - mmseg - INFO - Iter [43250/160000] lr: 3.750e-05, eta: 7:29:42, time: 0.194, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1945, decode.acc_seg: 91.9524, loss: 0.1945 +2023-03-05 00:37:41,688 - mmseg - INFO - Iter [43300/160000] lr: 3.750e-05, eta: 7:29:25, time: 0.194, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1951, decode.acc_seg: 92.1183, loss: 0.1951 +2023-03-05 00:37:51,411 - mmseg - INFO - Iter [43350/160000] lr: 3.750e-05, eta: 7:29:09, time: 0.194, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1930, decode.acc_seg: 92.0911, loss: 0.1930 +2023-03-05 00:38:00,986 - mmseg - INFO - Iter [43400/160000] lr: 3.750e-05, eta: 7:28:52, time: 0.192, data_time: 0.008, memory: 52540, decode.loss_ce: 0.1917, decode.acc_seg: 92.3044, loss: 0.1917 +2023-03-05 00:38:10,972 - mmseg - INFO - Iter [43450/160000] lr: 3.750e-05, eta: 7:28:36, time: 0.199, data_time: 0.008, memory: 52540, decode.loss_ce: 0.1962, decode.acc_seg: 92.0437, loss: 0.1962 +2023-03-05 00:38:20,438 - mmseg - INFO - Iter [43500/160000] lr: 3.750e-05, eta: 7:28:19, time: 0.190, data_time: 0.008, memory: 52540, decode.loss_ce: 0.1865, decode.acc_seg: 92.3341, loss: 0.1865 +2023-03-05 00:38:32,599 - mmseg - INFO - Iter [43550/160000] lr: 3.750e-05, eta: 7:28:09, time: 0.243, data_time: 0.053, memory: 52540, decode.loss_ce: 0.1984, decode.acc_seg: 91.8616, loss: 0.1984 +2023-03-05 00:38:42,327 - mmseg - INFO - Iter [43600/160000] lr: 3.750e-05, eta: 7:27:53, time: 0.195, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1956, decode.acc_seg: 92.0681, loss: 0.1956 +2023-03-05 00:38:51,791 - mmseg - INFO - Iter [43650/160000] lr: 3.750e-05, eta: 7:27:36, time: 0.189, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1848, decode.acc_seg: 92.3073, loss: 0.1848 +2023-03-05 00:39:01,565 - mmseg - INFO - Iter [43700/160000] lr: 3.750e-05, eta: 7:27:20, time: 0.195, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1914, decode.acc_seg: 92.1076, loss: 0.1914 +2023-03-05 00:39:11,221 - mmseg - INFO - Iter [43750/160000] lr: 3.750e-05, eta: 7:27:03, time: 0.193, data_time: 0.008, memory: 52540, decode.loss_ce: 0.1925, decode.acc_seg: 92.2003, loss: 0.1925 +2023-03-05 00:39:21,068 - mmseg - INFO - Iter [43800/160000] lr: 3.750e-05, eta: 7:26:47, time: 0.197, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1988, decode.acc_seg: 91.9568, loss: 0.1988 +2023-03-05 00:39:30,600 - mmseg - INFO - Iter [43850/160000] lr: 3.750e-05, eta: 7:26:30, time: 0.191, data_time: 0.008, memory: 52540, decode.loss_ce: 0.1990, decode.acc_seg: 91.9636, loss: 0.1990 +2023-03-05 00:39:40,203 - mmseg - INFO - Iter [43900/160000] lr: 3.750e-05, eta: 7:26:13, time: 0.192, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1995, decode.acc_seg: 91.9203, loss: 0.1995 +2023-03-05 00:39:49,901 - mmseg - INFO - Iter [43950/160000] lr: 3.750e-05, eta: 7:25:57, time: 0.194, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1961, decode.acc_seg: 91.9336, loss: 0.1961 +2023-03-05 00:39:59,884 - mmseg - INFO - Exp name: ablation_segformer_mit_b2_segformer_head_unet_fc_small_multi_step_ade_pretrained_freeze_embed_160k_ade20k151_mask_finetune_maskonly.py +2023-03-05 00:39:59,884 - mmseg - INFO - Iter [44000/160000] lr: 3.750e-05, eta: 7:25:42, time: 0.200, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1966, decode.acc_seg: 91.9866, loss: 0.1966 +2023-03-05 00:40:09,551 - mmseg - INFO - Iter [44050/160000] lr: 3.750e-05, eta: 7:25:25, time: 0.193, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1942, decode.acc_seg: 91.9901, loss: 0.1942 +2023-03-05 00:40:18,967 - mmseg - INFO - Iter [44100/160000] lr: 3.750e-05, eta: 7:25:08, time: 0.188, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1905, decode.acc_seg: 92.3088, loss: 0.1905 +2023-03-05 00:40:28,770 - mmseg - INFO - Iter [44150/160000] lr: 3.750e-05, eta: 7:24:52, time: 0.196, data_time: 0.008, memory: 52540, decode.loss_ce: 0.2012, decode.acc_seg: 91.9627, loss: 0.2012 +2023-03-05 00:40:41,085 - mmseg - INFO - Iter [44200/160000] lr: 3.750e-05, eta: 7:24:43, time: 0.246, data_time: 0.052, memory: 52540, decode.loss_ce: 0.1949, decode.acc_seg: 91.9039, loss: 0.1949 +2023-03-05 00:40:50,702 - mmseg - INFO - Iter [44250/160000] lr: 3.750e-05, eta: 7:24:26, time: 0.192, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1865, decode.acc_seg: 92.2604, loss: 0.1865 +2023-03-05 00:41:00,122 - mmseg - INFO - Iter [44300/160000] lr: 3.750e-05, eta: 7:24:09, time: 0.188, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1959, decode.acc_seg: 91.9591, loss: 0.1959 +2023-03-05 00:41:09,746 - mmseg - INFO - Iter [44350/160000] lr: 3.750e-05, eta: 7:23:53, time: 0.192, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1957, decode.acc_seg: 91.9847, loss: 0.1957 +2023-03-05 00:41:19,528 - mmseg - INFO - Iter [44400/160000] lr: 3.750e-05, eta: 7:23:37, time: 0.195, data_time: 0.008, memory: 52540, decode.loss_ce: 0.1941, decode.acc_seg: 92.0731, loss: 0.1941 +2023-03-05 00:41:29,403 - mmseg - INFO - Iter [44450/160000] lr: 3.750e-05, eta: 7:23:21, time: 0.198, data_time: 0.008, memory: 52540, decode.loss_ce: 0.1976, decode.acc_seg: 91.9240, loss: 0.1976 +2023-03-05 00:41:39,087 - mmseg - INFO - Iter [44500/160000] lr: 3.750e-05, eta: 7:23:05, time: 0.194, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1922, decode.acc_seg: 91.9325, loss: 0.1922 +2023-03-05 00:41:48,597 - mmseg - INFO - Iter [44550/160000] lr: 3.750e-05, eta: 7:22:48, time: 0.190, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1870, decode.acc_seg: 92.2560, loss: 0.1870 +2023-03-05 00:41:58,495 - mmseg - INFO - Iter [44600/160000] lr: 3.750e-05, eta: 7:22:32, time: 0.198, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1894, decode.acc_seg: 92.2248, loss: 0.1894 +2023-03-05 00:42:08,083 - mmseg - INFO - Iter [44650/160000] lr: 3.750e-05, eta: 7:22:16, time: 0.192, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1996, decode.acc_seg: 91.8984, loss: 0.1996 +2023-03-05 00:42:18,331 - mmseg - INFO - Iter [44700/160000] lr: 3.750e-05, eta: 7:22:01, time: 0.205, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1894, decode.acc_seg: 92.2635, loss: 0.1894 +2023-03-05 00:42:27,765 - mmseg - INFO - Iter [44750/160000] lr: 3.750e-05, eta: 7:21:44, time: 0.189, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1949, decode.acc_seg: 91.9260, loss: 0.1949 +2023-03-05 00:42:37,236 - mmseg - INFO - Iter [44800/160000] lr: 3.750e-05, eta: 7:21:27, time: 0.189, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1913, decode.acc_seg: 92.2224, loss: 0.1913 +2023-03-05 00:42:49,355 - mmseg - INFO - Iter [44850/160000] lr: 3.750e-05, eta: 7:21:18, time: 0.242, data_time: 0.055, memory: 52540, decode.loss_ce: 0.1922, decode.acc_seg: 92.0829, loss: 0.1922 +2023-03-05 00:42:59,040 - mmseg - INFO - Iter [44900/160000] lr: 3.750e-05, eta: 7:21:01, time: 0.194, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1949, decode.acc_seg: 91.9314, loss: 0.1949 +2023-03-05 00:43:08,548 - mmseg - INFO - Iter [44950/160000] lr: 3.750e-05, eta: 7:20:45, time: 0.190, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1961, decode.acc_seg: 91.8627, loss: 0.1961 +2023-03-05 00:43:18,090 - mmseg - INFO - Exp name: ablation_segformer_mit_b2_segformer_head_unet_fc_small_multi_step_ade_pretrained_freeze_embed_160k_ade20k151_mask_finetune_maskonly.py +2023-03-05 00:43:18,090 - mmseg - INFO - Iter [45000/160000] lr: 3.750e-05, eta: 7:20:28, time: 0.191, data_time: 0.008, memory: 52540, decode.loss_ce: 0.1909, decode.acc_seg: 92.1806, loss: 0.1909 +2023-03-05 00:43:27,590 - mmseg - INFO - Iter [45050/160000] lr: 3.750e-05, eta: 7:20:12, time: 0.190, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1874, decode.acc_seg: 92.3664, loss: 0.1874 +2023-03-05 00:43:37,464 - mmseg - INFO - Iter [45100/160000] lr: 3.750e-05, eta: 7:19:56, time: 0.197, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1983, decode.acc_seg: 91.9571, loss: 0.1983 +2023-03-05 00:43:46,958 - mmseg - INFO - Iter [45150/160000] lr: 3.750e-05, eta: 7:19:40, time: 0.190, data_time: 0.008, memory: 52540, decode.loss_ce: 0.1925, decode.acc_seg: 92.1163, loss: 0.1925 +2023-03-05 00:43:56,363 - mmseg - INFO - Iter [45200/160000] lr: 3.750e-05, eta: 7:19:23, time: 0.188, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1947, decode.acc_seg: 92.0507, loss: 0.1947 +2023-03-05 00:44:06,126 - mmseg - INFO - Iter [45250/160000] lr: 3.750e-05, eta: 7:19:07, time: 0.195, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1945, decode.acc_seg: 92.0524, loss: 0.1945 +2023-03-05 00:44:15,801 - mmseg - INFO - Iter [45300/160000] lr: 3.750e-05, eta: 7:18:51, time: 0.193, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1939, decode.acc_seg: 92.1341, loss: 0.1939 +2023-03-05 00:44:25,353 - mmseg - INFO - Iter [45350/160000] lr: 3.750e-05, eta: 7:18:35, time: 0.191, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1891, decode.acc_seg: 92.3215, loss: 0.1891 +2023-03-05 00:44:35,275 - mmseg - INFO - Iter [45400/160000] lr: 3.750e-05, eta: 7:18:19, time: 0.198, data_time: 0.007, memory: 52540, decode.loss_ce: 0.2003, decode.acc_seg: 91.8866, loss: 0.2003 +2023-03-05 00:44:47,498 - mmseg - INFO - Iter [45450/160000] lr: 3.750e-05, eta: 7:18:10, time: 0.244, data_time: 0.055, memory: 52540, decode.loss_ce: 0.1873, decode.acc_seg: 92.2180, loss: 0.1873 +2023-03-05 00:44:57,066 - mmseg - INFO - Iter [45500/160000] lr: 3.750e-05, eta: 7:17:53, time: 0.191, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1916, decode.acc_seg: 92.2122, loss: 0.1916 +2023-03-05 00:45:06,641 - mmseg - INFO - Iter [45550/160000] lr: 3.750e-05, eta: 7:17:37, time: 0.191, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1850, decode.acc_seg: 92.3733, loss: 0.1850 +2023-03-05 00:45:16,287 - mmseg - INFO - Iter [45600/160000] lr: 3.750e-05, eta: 7:17:21, time: 0.193, data_time: 0.008, memory: 52540, decode.loss_ce: 0.1912, decode.acc_seg: 92.1227, loss: 0.1912 +2023-03-05 00:45:25,688 - mmseg - INFO - Iter [45650/160000] lr: 3.750e-05, eta: 7:17:04, time: 0.188, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1906, decode.acc_seg: 92.0873, loss: 0.1906 +2023-03-05 00:45:35,427 - mmseg - INFO - Iter [45700/160000] lr: 3.750e-05, eta: 7:16:49, time: 0.195, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1929, decode.acc_seg: 91.9987, loss: 0.1929 +2023-03-05 00:45:45,160 - mmseg - INFO - Iter [45750/160000] lr: 3.750e-05, eta: 7:16:33, time: 0.195, data_time: 0.008, memory: 52540, decode.loss_ce: 0.1899, decode.acc_seg: 92.1486, loss: 0.1899 +2023-03-05 00:45:54,906 - mmseg - INFO - Iter [45800/160000] lr: 3.750e-05, eta: 7:16:17, time: 0.195, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1972, decode.acc_seg: 92.0106, loss: 0.1972 +2023-03-05 00:46:04,494 - mmseg - INFO - Iter [45850/160000] lr: 3.750e-05, eta: 7:16:01, time: 0.192, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1936, decode.acc_seg: 91.9696, loss: 0.1936 +2023-03-05 00:46:13,927 - mmseg - INFO - Iter [45900/160000] lr: 3.750e-05, eta: 7:15:44, time: 0.189, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1970, decode.acc_seg: 91.9176, loss: 0.1970 +2023-03-05 00:46:23,499 - mmseg - INFO - Iter [45950/160000] lr: 3.750e-05, eta: 7:15:28, time: 0.191, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1954, decode.acc_seg: 92.0303, loss: 0.1954 +2023-03-05 00:46:33,195 - mmseg - INFO - Exp name: ablation_segformer_mit_b2_segformer_head_unet_fc_small_multi_step_ade_pretrained_freeze_embed_160k_ade20k151_mask_finetune_maskonly.py +2023-03-05 00:46:33,195 - mmseg - INFO - Iter [46000/160000] lr: 3.750e-05, eta: 7:15:13, time: 0.194, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1914, decode.acc_seg: 92.0830, loss: 0.1914 +2023-03-05 00:46:43,089 - mmseg - INFO - Iter [46050/160000] lr: 3.750e-05, eta: 7:14:57, time: 0.198, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1962, decode.acc_seg: 92.0462, loss: 0.1962 +2023-03-05 00:46:54,980 - mmseg - INFO - Iter [46100/160000] lr: 3.750e-05, eta: 7:14:47, time: 0.238, data_time: 0.057, memory: 52540, decode.loss_ce: 0.1919, decode.acc_seg: 92.2026, loss: 0.1919 +2023-03-05 00:47:04,631 - mmseg - INFO - Iter [46150/160000] lr: 3.750e-05, eta: 7:14:31, time: 0.193, data_time: 0.007, memory: 52540, decode.loss_ce: 0.2023, decode.acc_seg: 91.6752, loss: 0.2023 +2023-03-05 00:47:14,233 - mmseg - INFO - Iter [46200/160000] lr: 3.750e-05, eta: 7:14:15, time: 0.192, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1891, decode.acc_seg: 92.2107, loss: 0.1891 +2023-03-05 00:47:23,965 - mmseg - INFO - Iter [46250/160000] lr: 3.750e-05, eta: 7:13:59, time: 0.195, data_time: 0.007, memory: 52540, decode.loss_ce: 0.2020, decode.acc_seg: 91.9333, loss: 0.2020 +2023-03-05 00:47:33,406 - mmseg - INFO - Iter [46300/160000] lr: 3.750e-05, eta: 7:13:43, time: 0.189, data_time: 0.007, memory: 52540, decode.loss_ce: 0.2068, decode.acc_seg: 91.6272, loss: 0.2068 +2023-03-05 00:47:43,010 - mmseg - INFO - Iter [46350/160000] lr: 3.750e-05, eta: 7:13:27, time: 0.192, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1886, decode.acc_seg: 92.2211, loss: 0.1886 +2023-03-05 00:47:52,655 - mmseg - INFO - Iter [46400/160000] lr: 3.750e-05, eta: 7:13:11, time: 0.193, data_time: 0.008, memory: 52540, decode.loss_ce: 0.1852, decode.acc_seg: 92.3759, loss: 0.1852 +2023-03-05 00:48:02,477 - mmseg - INFO - Iter [46450/160000] lr: 3.750e-05, eta: 7:12:56, time: 0.196, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1846, decode.acc_seg: 92.3915, loss: 0.1846 +2023-03-05 00:48:11,947 - mmseg - INFO - Iter [46500/160000] lr: 3.750e-05, eta: 7:12:39, time: 0.189, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1941, decode.acc_seg: 92.0232, loss: 0.1941 +2023-03-05 00:48:21,504 - mmseg - INFO - Iter [46550/160000] lr: 3.750e-05, eta: 7:12:23, time: 0.191, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1929, decode.acc_seg: 92.1901, loss: 0.1929 +2023-03-05 00:48:31,227 - mmseg - INFO - Iter [46600/160000] lr: 3.750e-05, eta: 7:12:08, time: 0.194, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1924, decode.acc_seg: 92.1698, loss: 0.1924 +2023-03-05 00:48:40,914 - mmseg - INFO - Iter [46650/160000] lr: 3.750e-05, eta: 7:11:52, time: 0.194, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1935, decode.acc_seg: 91.9805, loss: 0.1935 +2023-03-05 00:48:52,955 - mmseg - INFO - Iter [46700/160000] lr: 3.750e-05, eta: 7:11:42, time: 0.241, data_time: 0.055, memory: 52540, decode.loss_ce: 0.1868, decode.acc_seg: 92.2302, loss: 0.1868 +2023-03-05 00:49:02,945 - mmseg - INFO - Iter [46750/160000] lr: 3.750e-05, eta: 7:11:27, time: 0.200, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1926, decode.acc_seg: 92.0869, loss: 0.1926 +2023-03-05 00:49:13,002 - mmseg - INFO - Iter [46800/160000] lr: 3.750e-05, eta: 7:11:13, time: 0.201, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1904, decode.acc_seg: 92.1788, loss: 0.1904 +2023-03-05 00:49:22,392 - mmseg - INFO - Iter [46850/160000] lr: 3.750e-05, eta: 7:10:56, time: 0.188, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1963, decode.acc_seg: 92.0051, loss: 0.1963 +2023-03-05 00:49:32,382 - mmseg - INFO - Iter [46900/160000] lr: 3.750e-05, eta: 7:10:41, time: 0.200, data_time: 0.008, memory: 52540, decode.loss_ce: 0.1903, decode.acc_seg: 92.1356, loss: 0.1903 +2023-03-05 00:49:42,203 - mmseg - INFO - Iter [46950/160000] lr: 3.750e-05, eta: 7:10:26, time: 0.196, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1948, decode.acc_seg: 92.0496, loss: 0.1948 +2023-03-05 00:49:51,857 - mmseg - INFO - Exp name: ablation_segformer_mit_b2_segformer_head_unet_fc_small_multi_step_ade_pretrained_freeze_embed_160k_ade20k151_mask_finetune_maskonly.py +2023-03-05 00:49:51,857 - mmseg - INFO - Iter [47000/160000] lr: 3.750e-05, eta: 7:10:10, time: 0.193, data_time: 0.008, memory: 52540, decode.loss_ce: 0.1978, decode.acc_seg: 91.8012, loss: 0.1978 +2023-03-05 00:50:01,312 - mmseg - INFO - Iter [47050/160000] lr: 3.750e-05, eta: 7:09:54, time: 0.189, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1959, decode.acc_seg: 92.0194, loss: 0.1959 +2023-03-05 00:50:10,870 - mmseg - INFO - Iter [47100/160000] lr: 3.750e-05, eta: 7:09:38, time: 0.191, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1888, decode.acc_seg: 92.2113, loss: 0.1888 +2023-03-05 00:50:20,372 - mmseg - INFO - Iter [47150/160000] lr: 3.750e-05, eta: 7:09:22, time: 0.190, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1912, decode.acc_seg: 92.1825, loss: 0.1912 +2023-03-05 00:50:30,094 - mmseg - INFO - Iter [47200/160000] lr: 3.750e-05, eta: 7:09:07, time: 0.194, data_time: 0.007, memory: 52540, decode.loss_ce: 0.2019, decode.acc_seg: 91.8402, loss: 0.2019 +2023-03-05 00:50:39,896 - mmseg - INFO - Iter [47250/160000] lr: 3.750e-05, eta: 7:08:52, time: 0.196, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1863, decode.acc_seg: 92.2897, loss: 0.1863 +2023-03-05 00:50:49,548 - mmseg - INFO - Iter [47300/160000] lr: 3.750e-05, eta: 7:08:36, time: 0.193, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1906, decode.acc_seg: 92.1112, loss: 0.1906 +2023-03-05 00:51:01,618 - mmseg - INFO - Iter [47350/160000] lr: 3.750e-05, eta: 7:08:26, time: 0.241, data_time: 0.058, memory: 52540, decode.loss_ce: 0.1941, decode.acc_seg: 92.0737, loss: 0.1941 +2023-03-05 00:51:11,197 - mmseg - INFO - Iter [47400/160000] lr: 3.750e-05, eta: 7:08:10, time: 0.192, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1836, decode.acc_seg: 92.3811, loss: 0.1836 +2023-03-05 00:51:20,657 - mmseg - INFO - Iter [47450/160000] lr: 3.750e-05, eta: 7:07:54, time: 0.189, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1957, decode.acc_seg: 91.9693, loss: 0.1957 +2023-03-05 00:51:30,289 - mmseg - INFO - Iter [47500/160000] lr: 3.750e-05, eta: 7:07:39, time: 0.193, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1916, decode.acc_seg: 92.1549, loss: 0.1916 +2023-03-05 00:51:39,681 - mmseg - INFO - Iter [47550/160000] lr: 3.750e-05, eta: 7:07:23, time: 0.188, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1889, decode.acc_seg: 92.2484, loss: 0.1889 +2023-03-05 00:51:49,326 - mmseg - INFO - Iter [47600/160000] lr: 3.750e-05, eta: 7:07:07, time: 0.193, data_time: 0.007, memory: 52540, decode.loss_ce: 0.2044, decode.acc_seg: 91.8676, loss: 0.2044 +2023-03-05 00:51:58,873 - mmseg - INFO - Iter [47650/160000] lr: 3.750e-05, eta: 7:06:51, time: 0.191, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1940, decode.acc_seg: 92.0189, loss: 0.1940 +2023-03-05 00:52:08,783 - mmseg - INFO - Iter [47700/160000] lr: 3.750e-05, eta: 7:06:36, time: 0.198, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1898, decode.acc_seg: 92.1386, loss: 0.1898 +2023-03-05 00:52:18,609 - mmseg - INFO - Iter [47750/160000] lr: 3.750e-05, eta: 7:06:21, time: 0.197, data_time: 0.008, memory: 52540, decode.loss_ce: 0.1855, decode.acc_seg: 92.3486, loss: 0.1855 +2023-03-05 00:52:28,115 - mmseg - INFO - Iter [47800/160000] lr: 3.750e-05, eta: 7:06:05, time: 0.190, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1889, decode.acc_seg: 92.3287, loss: 0.1889 +2023-03-05 00:52:37,910 - mmseg - INFO - Iter [47850/160000] lr: 3.750e-05, eta: 7:05:50, time: 0.196, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1900, decode.acc_seg: 92.0698, loss: 0.1900 +2023-03-05 00:52:47,846 - mmseg - INFO - Iter [47900/160000] lr: 3.750e-05, eta: 7:05:36, time: 0.199, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1939, decode.acc_seg: 92.1048, loss: 0.1939 +2023-03-05 00:52:57,424 - mmseg - INFO - Iter [47950/160000] lr: 3.750e-05, eta: 7:05:20, time: 0.192, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1932, decode.acc_seg: 92.0568, loss: 0.1932 +2023-03-05 00:53:09,390 - mmseg - INFO - Swap parameters (after train) after iter [48000] +2023-03-05 00:53:09,403 - mmseg - INFO - Saving checkpoint at 48000 iterations +2023-03-05 00:53:10,475 - mmseg - INFO - Exp name: ablation_segformer_mit_b2_segformer_head_unet_fc_small_multi_step_ade_pretrained_freeze_embed_160k_ade20k151_mask_finetune_maskonly.py +2023-03-05 00:53:10,475 - mmseg - INFO - Iter [48000/160000] lr: 3.750e-05, eta: 7:05:12, time: 0.261, data_time: 0.055, memory: 52540, decode.loss_ce: 0.1949, decode.acc_seg: 92.0193, loss: 0.1949 +2023-03-05 01:04:08,640 - mmseg - INFO - per class results: +2023-03-05 01:04:08,649 - mmseg - INFO - ++---------------------+-------------------------------------------------------------------+ +| Class | IoU 0,10,20,30,40,50,60,70,80,90,99 | ++---------------------+-------------------------------------------------------------------+ +| background | nan,nan,nan,nan,nan,nan,nan,nan,nan,nan,nan | +| wall | 77.21,77.47,77.5,77.49,77.48,77.49,77.49,77.49,77.48,77.49,77.5 | +| building | 81.65,81.65,81.65,81.65,81.65,81.66,81.66,81.65,81.65,81.66,81.64 | +| sky | 94.43,94.49,94.49,94.49,94.49,94.49,94.49,94.49,94.49,94.49,94.51 | +| floor | 81.57,81.83,81.84,81.85,81.84,81.85,81.84,81.83,81.84,81.85,81.84 | +| tree | 73.84,74.08,74.08,74.09,74.09,74.09,74.09,74.08,74.08,74.08,74.1 | +| ceiling | 85.22,85.31,85.31,85.31,85.31,85.31,85.31,85.31,85.31,85.31,85.38 | +| road | 82.04,82.0,82.0,82.0,81.99,81.99,81.99,81.99,81.99,81.99,82.0 | +| bed | 87.48,87.79,87.8,87.81,87.8,87.8,87.79,87.78,87.8,87.78,87.82 | +| windowpane | 60.76,60.9,60.91,60.9,60.9,60.92,60.92,60.91,60.91,60.9,60.92 | +| grass | 67.0,67.33,67.34,67.33,67.33,67.33,67.34,67.34,67.33,67.33,67.36 | +| cabinet | 59.58,60.16,60.21,60.23,60.25,60.24,60.22,60.23,60.25,60.25,60.26 | +| sidewalk | 64.08,64.1,64.1,64.08,64.08,64.07,64.07,64.08,64.07,64.08,64.07 | +| person | 79.48,79.66,79.67,79.68,79.65,79.66,79.65,79.65,79.67,79.65,79.65 | +| earth | 36.03,36.13,36.14,36.15,36.14,36.11,36.11,36.1,36.1,36.08,36.09 | +| door | 45.47,45.99,46.07,46.04,46.03,46.04,46.04,46.0,46.02,46.04,45.89 | +| table | 60.73,60.77,60.72,60.68,60.68,60.68,60.69,60.68,60.65,60.68,60.66 | +| mountain | 56.54,57.46,57.51,57.5,57.52,57.53,57.52,57.51,57.51,57.5,57.52 | +| plant | 50.14,50.24,50.27,50.28,50.28,50.31,50.33,50.3,50.28,50.29,50.35 | +| curtain | 73.96,74.48,74.47,74.44,74.41,74.43,74.43,74.44,74.42,74.45,74.53 | +| chair | 56.13,56.39,56.38,56.41,56.39,56.4,56.4,56.38,56.41,56.41,56.46 | +| car | 81.67,81.95,81.92,81.96,81.95,81.93,81.91,81.91,81.95,81.95,81.98 | +| water | 57.92,57.98,57.96,57.97,57.96,57.95,57.94,57.93,57.94,57.94,57.95 | +| painting | 70.57,70.3,70.25,70.21,70.18,70.16,70.17,70.2,70.19,70.19,70.11 | +| sofa | 64.12,64.33,64.35,64.34,64.32,64.3,64.31,64.34,64.32,64.31,64.35 | +| shelf | 43.92,44.29,44.37,44.37,44.34,44.34,44.34,44.34,44.34,44.33,44.44 | +| house | 42.81,43.42,43.43,43.41,43.45,43.45,43.47,43.48,43.44,43.45,43.23 | +| sea | 60.6,60.81,60.82,60.82,60.81,60.8,60.8,60.82,60.81,60.8,60.78 | +| mirror | 65.5,65.94,66.05,66.03,66.0,66.0,65.98,66.0,65.99,66.01,65.99 | +| rug | 63.85,64.76,64.77,64.84,64.83,64.83,64.83,64.79,64.8,64.85,64.8 | +| field | 30.75,30.66,30.66,30.66,30.66,30.66,30.67,30.66,30.66,30.66,30.65 | +| armchair | 37.02,37.57,37.57,37.61,37.6,37.64,37.62,37.6,37.62,37.61,37.65 | +| seat | 65.89,66.47,66.48,66.51,66.52,66.54,66.51,66.5,66.52,66.5,66.47 | +| fence | 40.74,40.76,40.78,40.78,40.78,40.77,40.8,40.78,40.76,40.77,40.88 | +| desk | 47.08,47.18,47.16,47.16,47.13,47.15,47.16,47.17,47.15,47.15,47.05 | +| rock | 37.08,37.18,37.13,37.13,37.12,37.11,37.09,37.09,37.08,37.1,37.18 | +| wardrobe | 56.78,57.25,57.33,57.33,57.36,57.4,57.41,57.39,57.42,57.44,57.25 | +| lamp | 61.58,61.54,61.58,61.57,61.57,61.54,61.56,61.56,61.57,61.58,61.55 | +| bathtub | 76.02,76.85,76.88,76.9,76.91,76.94,76.93,76.92,76.91,76.93,76.83 | +| railing | 32.89,33.09,33.07,33.1,33.12,33.12,33.11,33.08,33.07,33.08,33.25 | +| cushion | 56.01,56.56,56.54,56.54,56.54,56.54,56.53,56.59,56.58,56.54,56.68 | +| base | 19.66,21.63,21.67,21.75,21.73,21.76,21.73,21.72,21.74,21.71,21.44 | +| box | 23.98,24.49,24.52,24.55,24.55,24.58,24.58,24.56,24.61,24.58,24.5 | +| column | 46.87,47.38,47.29,47.3,47.3,47.33,47.3,47.3,47.31,47.3,47.31 | +| signboard | 37.9,38.24,38.24,38.24,38.23,38.28,38.25,38.23,38.25,38.2,38.19 | +| chest of drawers | 34.92,35.97,36.06,36.13,36.2,36.1,36.09,36.11,36.15,36.16,36.12 | +| counter | 30.78,30.55,30.49,30.49,30.44,30.46,30.49,30.43,30.46,30.42,30.43 | +| sand | 42.41,42.16,42.33,42.31,42.28,42.29,42.29,42.26,42.23,42.18,42.25 | +| sink | 67.83,68.26,68.24,68.22,68.19,68.19,68.2,68.19,68.19,68.21,68.12 | +| skyscraper | 52.35,48.7,48.66,48.57,48.61,48.64,48.62,48.62,48.62,48.63,48.53 | +| fireplace | 74.36,74.68,74.63,74.6,74.56,74.55,74.5,74.5,74.54,74.52,74.86 | +| refrigerator | 74.41,75.78,75.69,75.57,75.61,75.78,75.9,75.98,76.02,76.0,75.88 | +| grandstand | 53.28,53.73,53.8,53.84,53.86,53.84,53.83,53.8,53.82,53.79,53.96 | +| path | 22.01,22.35,22.38,22.39,22.38,22.38,22.37,22.34,22.38,22.33,22.35 | +| stairs | 32.76,32.16,32.16,32.16,32.18,32.12,32.13,32.14,32.12,32.11,32.24 | +| runway | 67.56,68.44,68.45,68.47,68.46,68.47,68.46,68.47,68.47,68.46,68.43 | +| case | 47.48,47.65,47.75,47.75,47.71,47.72,47.75,47.73,47.69,47.72,47.55 | +| pool table | 91.54,91.7,91.69,91.7,91.7,91.7,91.69,91.69,91.69,91.7,91.71 | +| pillow | 59.39,63.1,63.2,63.17,63.22,63.22,63.25,63.21,63.22,63.25,63.4 | +| screen door | 66.96,67.43,67.45,67.48,67.48,67.63,67.65,67.68,67.71,67.68,67.53 | +| stairway | 22.52,22.75,22.76,22.72,22.72,22.76,22.74,22.75,22.75,22.74,22.81 | +| river | 12.27,12.18,12.17,12.15,12.14,12.14,12.13,12.14,12.13,12.14,12.16 | +| bridge | 31.57,31.63,31.64,31.65,31.69,31.78,31.77,31.75,31.76,31.77,31.87 | +| bookcase | 46.87,46.94,46.94,46.88,46.86,46.88,46.87,46.93,46.89,46.88,46.96 | +| blind | 40.16,40.84,40.93,40.94,40.95,40.93,40.95,40.97,40.93,40.94,41.02 | +| coffee table | 53.6,52.48,52.37,52.28,52.34,52.28,52.3,52.33,52.33,52.36,52.24 | +| toilet | 83.67,83.38,83.4,83.4,83.41,83.4,83.4,83.42,83.39,83.41,83.41 | +| flower | 38.76,39.02,38.99,38.98,39.02,39.0,38.99,39.0,38.98,39.0,39.05 | +| book | 45.79,45.94,45.93,45.9,45.86,45.84,45.86,45.87,45.85,45.85,45.9 | +| hill | 14.55,15.86,15.86,15.86,15.88,15.86,15.82,15.82,15.86,15.86,15.75 | +| bench | 43.49,42.6,42.54,42.57,42.57,42.54,42.52,42.56,42.57,42.57,42.36 | +| countertop | 54.17,53.81,53.75,53.83,53.8,53.83,53.81,53.8,53.8,53.77,53.95 | +| stove | 70.73,70.61,70.66,70.63,70.62,70.61,70.6,70.64,70.62,70.62,70.6 | +| palm | 47.54,47.72,47.71,47.7,47.71,47.71,47.72,47.72,47.68,47.72,47.67 | +| kitchen island | 40.6,43.31,43.44,43.51,43.27,43.19,43.25,43.32,43.36,43.28,43.36 | +| computer | 59.9,60.39,60.4,60.38,60.4,60.43,60.44,60.43,60.42,60.43,60.36 | +| swivel chair | 43.45,44.18,44.1,44.16,44.13,44.15,44.14,44.08,44.14,44.13,44.44 | +| boat | 68.64,69.96,69.87,69.94,69.94,69.9,69.97,69.99,69.96,69.99,70.04 | +| bar | 23.87,24.41,24.4,24.39,24.38,24.37,24.36,24.36,24.35,24.34,24.26 | +| arcade machine | 69.66,72.55,72.75,72.67,72.45,72.38,72.61,72.79,72.58,72.45,72.76 | +| hovel | 32.82,31.19,31.04,30.97,30.98,30.95,30.96,31.01,30.96,30.86,30.92 | +| bus | 78.41,79.3,79.31,79.34,79.32,79.31,79.31,79.28,79.28,79.29,79.47 | +| towel | 62.8,62.88,62.84,62.78,62.79,62.79,62.8,62.79,62.82,62.81,62.84 | +| light | 55.7,56.18,56.11,56.25,56.17,56.14,56.22,56.13,56.18,56.19,56.34 | +| truck | 16.99,17.74,17.71,17.73,17.78,17.75,17.75,17.76,17.73,17.74,17.73 | +| tower | 8.14,8.52,8.51,8.64,8.6,8.6,8.56,8.58,8.6,8.58,8.48 | +| chandelier | 64.53,64.76,64.78,64.75,64.76,64.78,64.76,64.77,64.76,64.78,64.74 | +| awning | 22.13,23.8,23.86,23.83,23.87,23.88,23.91,23.88,23.91,23.95,23.78 | +| streetlight | 26.97,27.15,27.15,27.16,27.15,27.15,27.19,27.19,27.15,27.17,27.13 | +| booth | 41.18,43.03,43.14,43.1,43.14,43.14,43.12,43.18,43.14,43.08,43.14 | +| television receiver | 64.31,64.21,64.26,64.22,64.22,64.22,64.19,64.22,64.25,64.23,64.23 | +| airplane | 57.69,58.44,58.4,58.42,58.41,58.41,58.38,58.38,58.42,58.39,58.51 | +| dirt track | 18.13,20.76,20.88,21.01,21.14,21.24,21.29,21.21,21.22,21.3,21.02 | +| apparel | 34.0,34.18,34.32,34.27,34.28,34.26,34.27,34.32,34.23,34.29,33.43 | +| pole | 18.24,18.19,18.43,18.54,18.38,18.43,18.65,18.38,18.38,18.52,18.56 | +| land | 4.59,4.7,4.49,4.45,4.44,4.51,4.48,4.48,4.49,4.42,4.9 | +| bannister | 12.83,12.58,12.64,12.57,12.56,12.53,12.45,12.55,12.6,12.54,12.7 | +| escalator | 24.07,24.4,24.38,24.39,24.34,24.37,24.36,24.34,24.38,24.35,24.43 | +| ottoman | 40.97,41.99,42.01,42.11,42.08,42.11,42.05,42.02,42.11,42.01,42.46 | +| bottle | 35.73,36.2,36.23,36.24,36.23,36.24,36.24,36.21,36.19,36.19,36.21 | +| buffet | 36.43,39.4,39.64,39.58,39.62,39.65,39.67,39.66,39.58,39.56,39.27 | +| poster | 22.97,22.16,22.14,22.15,22.12,22.14,22.12,22.14,22.16,22.14,22.18 | +| stage | 14.32,14.53,14.52,14.54,14.52,14.54,14.54,14.54,14.53,14.52,14.54 | +| van | 38.21,38.97,38.88,38.9,38.96,38.89,38.87,39.0,38.91,38.86,38.97 | +| ship | 78.32,78.08,77.99,78.01,78.02,77.93,77.89,77.91,78.02,78.04,78.13 | +| fountain | 13.52,15.87,15.87,16.0,15.95,16.08,15.99,15.98,15.94,15.92,16.06 | +| conveyer belt | 85.83,85.61,85.66,85.67,85.67,85.65,85.67,85.72,85.67,85.65,85.57 | +| canopy | 26.12,25.46,25.48,25.45,25.57,25.59,25.57,25.48,25.27,25.26,25.5 | +| washer | 77.19,78.28,78.33,78.26,78.19,78.21,78.29,78.34,78.43,78.39,78.37 | +| plaything | 21.2,21.67,21.64,21.63,21.62,21.62,21.64,21.63,21.62,21.65,21.7 | +| swimming pool | 73.17,75.67,75.75,75.79,75.78,75.74,75.74,75.8,75.8,75.78,75.83 | +| stool | 43.37,44.7,44.8,44.76,44.79,44.8,44.72,44.78,44.8,44.79,44.77 | +| barrel | 39.59,44.77,43.52,43.08,43.26,43.12,42.99,43.15,43.34,43.34,41.68 | +| basket | 24.91,25.07,25.09,25.08,25.07,25.1,25.1,25.1,25.06,25.06,25.36 | +| waterfall | 49.82,49.3,49.36,49.46,49.46,49.47,49.45,49.43,49.46,49.47,49.45 | +| tent | 95.18,94.96,94.98,94.95,94.93,94.95,94.93,94.93,94.95,94.94,94.97 | +| bag | 15.04,15.52,15.54,15.54,15.53,15.54,15.57,15.54,15.54,15.54,15.63 | +| minibike | 62.33,62.58,62.57,62.6,62.58,62.57,62.52,62.55,62.58,62.57,62.64 | +| cradle | 85.16,85.63,85.71,85.68,85.67,85.67,85.67,85.71,85.66,85.66,85.65 | +| oven | 45.6,46.01,45.99,45.98,46.01,46.0,45.98,46.0,45.97,45.99,46.06 | +| ball | 41.56,43.47,43.55,43.58,43.62,43.62,43.67,43.7,43.6,43.7,43.69 | +| food | 52.3,52.57,52.58,52.47,52.5,52.43,52.51,52.6,52.43,52.52,52.45 | +| step | 4.05,3.93,4.21,4.11,4.17,4.25,4.17,4.23,4.06,3.95,3.96 | +| tank | 51.95,52.44,52.4,52.5,52.47,52.29,52.28,52.17,52.13,52.13,52.21 | +| trade name | 28.68,29.03,28.97,28.95,28.97,29.06,28.96,28.95,28.97,28.98,29.32 | +| microwave | 70.53,72.07,72.08,72.09,72.15,72.18,72.18,72.17,72.16,72.19,72.17 | +| pot | 30.52,30.72,30.75,30.78,30.75,30.77,30.75,30.71,30.76,30.74,30.75 | +| animal | 54.78,55.56,55.6,55.61,55.59,55.63,55.62,55.61,55.6,55.59,55.61 | +| bicycle | 53.56,54.31,54.28,54.32,54.29,54.28,54.32,54.31,54.28,54.32,54.4 | +| lake | 57.77,57.6,57.51,57.5,57.51,57.51,57.52,57.52,57.5,57.51,57.61 | +| dishwasher | 66.2,65.97,65.97,65.93,65.92,65.9,65.84,65.91,65.88,65.9,65.44 | +| screen | 69.32,69.56,69.51,69.54,69.58,69.59,69.42,69.32,69.72,69.61,69.95 | +| blanket | 18.66,19.83,19.96,19.9,19.85,19.88,19.9,19.93,19.89,19.86,19.76 | +| sculpture | 57.04,56.55,56.6,56.61,56.57,56.57,56.54,56.62,56.59,56.55,56.35 | +| hood | 58.55,58.94,58.87,58.99,59.02,59.05,58.96,58.96,59.02,59.0,58.99 | +| sconce | 42.73,42.76,42.98,42.93,42.89,42.88,42.8,42.72,42.73,42.78,43.26 | +| vase | 36.95,38.28,38.3,38.29,38.3,38.34,38.27,38.31,38.32,38.3,38.4 | +| traffic light | 33.3,33.42,33.34,33.33,33.27,33.36,33.35,33.35,33.31,33.38,33.46 | +| tray | 7.46,7.82,7.81,7.76,7.7,7.64,7.61,7.61,7.62,7.57,8.08 | +| ashcan | 41.89,41.82,41.85,41.72,41.72,41.79,41.67,41.77,41.73,41.72,41.75 | +| fan | 57.78,58.87,58.74,58.88,58.86,58.88,58.76,58.82,58.91,58.87,58.99 | +| pier | 48.73,49.18,49.23,49.08,48.47,48.51,48.62,48.52,48.41,48.43,49.18 | +| crt screen | 7.89,9.24,9.27,9.25,9.27,9.24,9.28,9.26,9.28,9.28,8.95 | +| plate | 51.95,52.21,52.16,52.18,52.23,52.18,52.2,52.23,52.16,52.2,52.18 | +| monitor | 26.64,22.77,22.83,22.9,22.8,22.76,22.78,22.75,22.81,22.81,23.23 | +| bulletin board | 35.42,36.91,36.9,36.95,36.92,36.98,36.95,36.91,36.99,36.95,36.96 | +| shower | 1.22,1.33,1.3,1.33,1.32,1.32,1.33,1.32,1.32,1.32,1.46 | +| radiator | 62.03,64.22,64.26,64.21,64.29,64.28,64.3,64.31,64.32,64.32,64.46 | +| glass | 14.16,13.6,13.58,13.56,13.53,13.53,13.59,13.58,13.51,13.55,13.65 | +| clock | 34.71,34.61,34.33,34.34,34.41,34.29,34.3,34.35,34.23,34.23,34.74 | +| flag | 35.66,35.62,35.66,35.59,35.64,35.66,35.66,35.63,35.61,35.62,35.65 | ++---------------------+-------------------------------------------------------------------+ +2023-03-05 01:04:08,649 - mmseg - INFO - Summary: +2023-03-05 01:04:08,649 - mmseg - INFO - ++-------------------------------------------------------------------+ +| mIoU 0,10,20,30,40,50,60,70,80,90,99 | ++-------------------------------------------------------------------+ +| 48.31,48.75,48.75,48.75,48.74,48.74,48.74,48.74,48.74,48.74,48.76 | ++-------------------------------------------------------------------+ +2023-03-05 01:04:08,684 - mmseg - INFO - The previous best checkpoint /mnt/petrelfs/laizeqiang/mmseg-baseline/work_dirs2/ablation_segformer_mit_b2_segformer_head_unet_fc_small_multi_step_ade_pretrained_freeze_embed_160k_ade20k151_mask_finetune_maskonly/best_mIoU_iter_32000.pth was removed +2023-03-05 01:04:09,671 - mmseg - INFO - Now best checkpoint is saved as best_mIoU_iter_48000.pth. +2023-03-05 01:04:09,672 - mmseg - INFO - Best mIoU is 0.4876 at 48000 iter. +2023-03-05 01:04:09,672 - mmseg - INFO - Exp name: ablation_segformer_mit_b2_segformer_head_unet_fc_small_multi_step_ade_pretrained_freeze_embed_160k_ade20k151_mask_finetune_maskonly.py +2023-03-05 01:04:09,672 - mmseg - INFO - Iter(val) [250] mIoU: [0.4831, 0.4875, 0.4875, 0.4875, 0.4874, 0.4874, 0.4874, 0.4874, 0.4874, 0.4874, 0.4876], copy_paste: 48.31,48.75,48.75,48.75,48.74,48.74,48.74,48.74,48.74,48.74,48.76 +2023-03-05 01:04:09,679 - mmseg - INFO - Swap parameters (before train) before iter [48001] +2023-03-05 01:04:19,826 - mmseg - INFO - Iter [48050/160000] lr: 3.750e-05, eta: 7:30:34, time: 13.387, data_time: 13.192, memory: 52540, decode.loss_ce: 0.1960, decode.acc_seg: 92.0720, loss: 0.1960 +2023-03-05 01:04:29,809 - mmseg - INFO - Iter [48100/160000] lr: 3.750e-05, eta: 7:30:17, time: 0.200, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1860, decode.acc_seg: 92.3096, loss: 0.1860 +2023-03-05 01:04:39,662 - mmseg - INFO - Iter [48150/160000] lr: 3.750e-05, eta: 7:30:00, time: 0.197, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1848, decode.acc_seg: 92.4095, loss: 0.1848 +2023-03-05 01:04:49,241 - mmseg - INFO - Iter [48200/160000] lr: 3.750e-05, eta: 7:29:42, time: 0.192, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1921, decode.acc_seg: 92.2023, loss: 0.1921 +2023-03-05 01:04:58,832 - mmseg - INFO - Iter [48250/160000] lr: 3.750e-05, eta: 7:29:24, time: 0.192, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1908, decode.acc_seg: 92.2136, loss: 0.1908 +2023-03-05 01:05:08,929 - mmseg - INFO - Iter [48300/160000] lr: 3.750e-05, eta: 7:29:08, time: 0.202, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1918, decode.acc_seg: 92.1278, loss: 0.1918 +2023-03-05 01:05:18,409 - mmseg - INFO - Iter [48350/160000] lr: 3.750e-05, eta: 7:28:49, time: 0.190, data_time: 0.008, memory: 52540, decode.loss_ce: 0.2004, decode.acc_seg: 91.7235, loss: 0.2004 +2023-03-05 01:05:27,879 - mmseg - INFO - Iter [48400/160000] lr: 3.750e-05, eta: 7:28:31, time: 0.189, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1894, decode.acc_seg: 92.0867, loss: 0.1894 +2023-03-05 01:05:37,507 - mmseg - INFO - Iter [48450/160000] lr: 3.750e-05, eta: 7:28:14, time: 0.193, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1930, decode.acc_seg: 92.2179, loss: 0.1930 +2023-03-05 01:05:47,112 - mmseg - INFO - Iter [48500/160000] lr: 3.750e-05, eta: 7:27:56, time: 0.192, data_time: 0.008, memory: 52540, decode.loss_ce: 0.1901, decode.acc_seg: 92.1099, loss: 0.1901 +2023-03-05 01:05:56,534 - mmseg - INFO - Iter [48550/160000] lr: 3.750e-05, eta: 7:27:38, time: 0.188, data_time: 0.007, memory: 52540, decode.loss_ce: 0.2009, decode.acc_seg: 91.9078, loss: 0.2009 +2023-03-05 01:06:08,572 - mmseg - INFO - Iter [48600/160000] lr: 3.750e-05, eta: 7:27:26, time: 0.241, data_time: 0.053, memory: 52540, decode.loss_ce: 0.1891, decode.acc_seg: 92.2694, loss: 0.1891 +2023-03-05 01:06:18,246 - mmseg - INFO - Iter [48650/160000] lr: 3.750e-05, eta: 7:27:08, time: 0.193, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1927, decode.acc_seg: 92.1550, loss: 0.1927 +2023-03-05 01:06:28,087 - mmseg - INFO - Iter [48700/160000] lr: 3.750e-05, eta: 7:26:51, time: 0.197, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1931, decode.acc_seg: 92.1109, loss: 0.1931 +2023-03-05 01:06:37,809 - mmseg - INFO - Iter [48750/160000] lr: 3.750e-05, eta: 7:26:34, time: 0.194, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1924, decode.acc_seg: 92.2235, loss: 0.1924 +2023-03-05 01:06:47,602 - mmseg - INFO - Iter [48800/160000] lr: 3.750e-05, eta: 7:26:17, time: 0.196, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1939, decode.acc_seg: 92.0642, loss: 0.1939 +2023-03-05 01:06:57,071 - mmseg - INFO - Iter [48850/160000] lr: 3.750e-05, eta: 7:25:59, time: 0.189, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1912, decode.acc_seg: 92.2014, loss: 0.1912 +2023-03-05 01:07:06,517 - mmseg - INFO - Iter [48900/160000] lr: 3.750e-05, eta: 7:25:41, time: 0.189, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1883, decode.acc_seg: 92.4110, loss: 0.1883 +2023-03-05 01:07:16,306 - mmseg - INFO - Iter [48950/160000] lr: 3.750e-05, eta: 7:25:24, time: 0.196, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1916, decode.acc_seg: 92.1086, loss: 0.1916 +2023-03-05 01:07:26,132 - mmseg - INFO - Exp name: ablation_segformer_mit_b2_segformer_head_unet_fc_small_multi_step_ade_pretrained_freeze_embed_160k_ade20k151_mask_finetune_maskonly.py +2023-03-05 01:07:26,132 - mmseg - INFO - Iter [49000/160000] lr: 3.750e-05, eta: 7:25:07, time: 0.197, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1973, decode.acc_seg: 91.8869, loss: 0.1973 +2023-03-05 01:07:35,704 - mmseg - INFO - Iter [49050/160000] lr: 3.750e-05, eta: 7:24:49, time: 0.191, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1898, decode.acc_seg: 92.0947, loss: 0.1898 +2023-03-05 01:07:45,387 - mmseg - INFO - Iter [49100/160000] lr: 3.750e-05, eta: 7:24:32, time: 0.194, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1915, decode.acc_seg: 92.1045, loss: 0.1915 +2023-03-05 01:07:54,830 - mmseg - INFO - Iter [49150/160000] lr: 3.750e-05, eta: 7:24:14, time: 0.189, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1927, decode.acc_seg: 92.0500, loss: 0.1927 +2023-03-05 01:08:04,542 - mmseg - INFO - Iter [49200/160000] lr: 3.750e-05, eta: 7:23:57, time: 0.194, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1906, decode.acc_seg: 92.2890, loss: 0.1906 +2023-03-05 01:08:16,621 - mmseg - INFO - Iter [49250/160000] lr: 3.750e-05, eta: 7:23:45, time: 0.241, data_time: 0.055, memory: 52540, decode.loss_ce: 0.1879, decode.acc_seg: 92.3157, loss: 0.1879 +2023-03-05 01:08:26,352 - mmseg - INFO - Iter [49300/160000] lr: 3.750e-05, eta: 7:23:28, time: 0.195, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1880, decode.acc_seg: 92.1756, loss: 0.1880 +2023-03-05 01:08:35,924 - mmseg - INFO - Iter [49350/160000] lr: 3.750e-05, eta: 7:23:10, time: 0.191, data_time: 0.008, memory: 52540, decode.loss_ce: 0.1901, decode.acc_seg: 92.1560, loss: 0.1901 +2023-03-05 01:08:45,689 - mmseg - INFO - Iter [49400/160000] lr: 3.750e-05, eta: 7:22:53, time: 0.195, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1893, decode.acc_seg: 92.3897, loss: 0.1893 +2023-03-05 01:08:55,359 - mmseg - INFO - Iter [49450/160000] lr: 3.750e-05, eta: 7:22:36, time: 0.193, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1957, decode.acc_seg: 92.0893, loss: 0.1957 +2023-03-05 01:09:04,940 - mmseg - INFO - Iter [49500/160000] lr: 3.750e-05, eta: 7:22:19, time: 0.192, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1897, decode.acc_seg: 92.0629, loss: 0.1897 +2023-03-05 01:09:14,352 - mmseg - INFO - Iter [49550/160000] lr: 3.750e-05, eta: 7:22:01, time: 0.188, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1964, decode.acc_seg: 91.9924, loss: 0.1964 +2023-03-05 01:09:24,119 - mmseg - INFO - Iter [49600/160000] lr: 3.750e-05, eta: 7:21:44, time: 0.195, data_time: 0.008, memory: 52540, decode.loss_ce: 0.1907, decode.acc_seg: 92.2489, loss: 0.1907 +2023-03-05 01:09:33,682 - mmseg - INFO - Iter [49650/160000] lr: 3.750e-05, eta: 7:21:26, time: 0.191, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1988, decode.acc_seg: 91.9759, loss: 0.1988 +2023-03-05 01:09:43,153 - mmseg - INFO - Iter [49700/160000] lr: 3.750e-05, eta: 7:21:09, time: 0.189, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1897, decode.acc_seg: 92.2152, loss: 0.1897 +2023-03-05 01:09:52,816 - mmseg - INFO - Iter [49750/160000] lr: 3.750e-05, eta: 7:20:52, time: 0.193, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1960, decode.acc_seg: 92.0488, loss: 0.1960 +2023-03-05 01:10:02,227 - mmseg - INFO - Iter [49800/160000] lr: 3.750e-05, eta: 7:20:34, time: 0.188, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1898, decode.acc_seg: 92.2216, loss: 0.1898 +2023-03-05 01:10:14,371 - mmseg - INFO - Iter [49850/160000] lr: 3.750e-05, eta: 7:20:22, time: 0.243, data_time: 0.056, memory: 52540, decode.loss_ce: 0.2000, decode.acc_seg: 91.7485, loss: 0.2000 +2023-03-05 01:10:23,936 - mmseg - INFO - Iter [49900/160000] lr: 3.750e-05, eta: 7:20:05, time: 0.191, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1823, decode.acc_seg: 92.5798, loss: 0.1823 +2023-03-05 01:10:33,981 - mmseg - INFO - Iter [49950/160000] lr: 3.750e-05, eta: 7:19:49, time: 0.201, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1899, decode.acc_seg: 92.1540, loss: 0.1899 +2023-03-05 01:10:43,702 - mmseg - INFO - Exp name: ablation_segformer_mit_b2_segformer_head_unet_fc_small_multi_step_ade_pretrained_freeze_embed_160k_ade20k151_mask_finetune_maskonly.py +2023-03-05 01:10:43,702 - mmseg - INFO - Iter [50000/160000] lr: 3.750e-05, eta: 7:19:32, time: 0.194, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1882, decode.acc_seg: 92.2400, loss: 0.1882 +2023-03-05 01:10:53,488 - mmseg - INFO - Iter [50050/160000] lr: 3.750e-05, eta: 7:19:15, time: 0.195, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1928, decode.acc_seg: 92.0935, loss: 0.1928 +2023-03-05 01:11:03,155 - mmseg - INFO - Iter [50100/160000] lr: 3.750e-05, eta: 7:18:58, time: 0.194, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1891, decode.acc_seg: 92.1453, loss: 0.1891 +2023-03-05 01:11:12,752 - mmseg - INFO - Iter [50150/160000] lr: 3.750e-05, eta: 7:18:40, time: 0.192, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1919, decode.acc_seg: 92.2836, loss: 0.1919 +2023-03-05 01:11:22,210 - mmseg - INFO - Iter [50200/160000] lr: 3.750e-05, eta: 7:18:23, time: 0.189, data_time: 0.008, memory: 52540, decode.loss_ce: 0.1996, decode.acc_seg: 91.8197, loss: 0.1996 +2023-03-05 01:11:31,795 - mmseg - INFO - Iter [50250/160000] lr: 3.750e-05, eta: 7:18:06, time: 0.192, data_time: 0.008, memory: 52540, decode.loss_ce: 0.1974, decode.acc_seg: 91.9653, loss: 0.1974 +2023-03-05 01:11:41,258 - mmseg - INFO - Iter [50300/160000] lr: 3.750e-05, eta: 7:17:48, time: 0.189, data_time: 0.007, memory: 52540, decode.loss_ce: 0.2040, decode.acc_seg: 91.7478, loss: 0.2040 +2023-03-05 01:11:50,983 - mmseg - INFO - Iter [50350/160000] lr: 3.750e-05, eta: 7:17:31, time: 0.194, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1959, decode.acc_seg: 92.1433, loss: 0.1959 +2023-03-05 01:12:00,491 - mmseg - INFO - Iter [50400/160000] lr: 3.750e-05, eta: 7:17:14, time: 0.190, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1930, decode.acc_seg: 92.0532, loss: 0.1930 +2023-03-05 01:12:09,929 - mmseg - INFO - Iter [50450/160000] lr: 3.750e-05, eta: 7:16:57, time: 0.189, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1928, decode.acc_seg: 92.1573, loss: 0.1928 +2023-03-05 01:12:22,022 - mmseg - INFO - Iter [50500/160000] lr: 3.750e-05, eta: 7:16:45, time: 0.242, data_time: 0.057, memory: 52540, decode.loss_ce: 0.1958, decode.acc_seg: 92.1349, loss: 0.1958 +2023-03-05 01:12:31,698 - mmseg - INFO - Iter [50550/160000] lr: 3.750e-05, eta: 7:16:28, time: 0.194, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1910, decode.acc_seg: 92.1501, loss: 0.1910 +2023-03-05 01:12:41,254 - mmseg - INFO - Iter [50600/160000] lr: 3.750e-05, eta: 7:16:11, time: 0.191, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1891, decode.acc_seg: 92.2652, loss: 0.1891 +2023-03-05 01:12:50,765 - mmseg - INFO - Iter [50650/160000] lr: 3.750e-05, eta: 7:15:54, time: 0.190, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1886, decode.acc_seg: 92.2195, loss: 0.1886 +2023-03-05 01:13:00,433 - mmseg - INFO - Iter [50700/160000] lr: 3.750e-05, eta: 7:15:37, time: 0.193, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1928, decode.acc_seg: 92.1265, loss: 0.1928 +2023-03-05 01:13:09,866 - mmseg - INFO - Iter [50750/160000] lr: 3.750e-05, eta: 7:15:19, time: 0.189, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1929, decode.acc_seg: 91.9424, loss: 0.1929 +2023-03-05 01:13:19,497 - mmseg - INFO - Iter [50800/160000] lr: 3.750e-05, eta: 7:15:02, time: 0.193, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1938, decode.acc_seg: 92.0156, loss: 0.1938 +2023-03-05 01:13:29,152 - mmseg - INFO - Iter [50850/160000] lr: 3.750e-05, eta: 7:14:45, time: 0.193, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1913, decode.acc_seg: 92.1392, loss: 0.1913 +2023-03-05 01:13:38,867 - mmseg - INFO - Iter [50900/160000] lr: 3.750e-05, eta: 7:14:29, time: 0.194, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1933, decode.acc_seg: 92.2480, loss: 0.1933 +2023-03-05 01:13:48,485 - mmseg - INFO - Iter [50950/160000] lr: 3.750e-05, eta: 7:14:12, time: 0.192, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1979, decode.acc_seg: 91.9512, loss: 0.1979 +2023-03-05 01:13:57,911 - mmseg - INFO - Exp name: ablation_segformer_mit_b2_segformer_head_unet_fc_small_multi_step_ade_pretrained_freeze_embed_160k_ade20k151_mask_finetune_maskonly.py +2023-03-05 01:13:57,912 - mmseg - INFO - Iter [51000/160000] lr: 3.750e-05, eta: 7:13:54, time: 0.189, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1891, decode.acc_seg: 92.3256, loss: 0.1891 +2023-03-05 01:14:07,554 - mmseg - INFO - Iter [51050/160000] lr: 3.750e-05, eta: 7:13:38, time: 0.193, data_time: 0.008, memory: 52540, decode.loss_ce: 0.1852, decode.acc_seg: 92.3843, loss: 0.1852 +2023-03-05 01:14:16,995 - mmseg - INFO - Iter [51100/160000] lr: 3.750e-05, eta: 7:13:20, time: 0.189, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1916, decode.acc_seg: 92.2639, loss: 0.1916 +2023-03-05 01:14:29,098 - mmseg - INFO - Iter [51150/160000] lr: 3.750e-05, eta: 7:13:09, time: 0.242, data_time: 0.055, memory: 52540, decode.loss_ce: 0.1883, decode.acc_seg: 92.2275, loss: 0.1883 +2023-03-05 01:14:38,737 - mmseg - INFO - Iter [51200/160000] lr: 3.750e-05, eta: 7:12:52, time: 0.193, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1894, decode.acc_seg: 92.1725, loss: 0.1894 +2023-03-05 01:14:48,852 - mmseg - INFO - Iter [51250/160000] lr: 3.750e-05, eta: 7:12:36, time: 0.202, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1885, decode.acc_seg: 92.3423, loss: 0.1885 +2023-03-05 01:14:58,691 - mmseg - INFO - Iter [51300/160000] lr: 3.750e-05, eta: 7:12:20, time: 0.197, data_time: 0.008, memory: 52540, decode.loss_ce: 0.1888, decode.acc_seg: 92.2248, loss: 0.1888 +2023-03-05 01:15:08,373 - mmseg - INFO - Iter [51350/160000] lr: 3.750e-05, eta: 7:12:03, time: 0.194, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1889, decode.acc_seg: 92.2468, loss: 0.1889 +2023-03-05 01:15:18,267 - mmseg - INFO - Iter [51400/160000] lr: 3.750e-05, eta: 7:11:47, time: 0.198, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1934, decode.acc_seg: 92.1321, loss: 0.1934 +2023-03-05 01:15:27,654 - mmseg - INFO - Iter [51450/160000] lr: 3.750e-05, eta: 7:11:30, time: 0.188, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1887, decode.acc_seg: 92.1917, loss: 0.1887 +2023-03-05 01:15:37,131 - mmseg - INFO - Iter [51500/160000] lr: 3.750e-05, eta: 7:11:12, time: 0.190, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1928, decode.acc_seg: 92.0939, loss: 0.1928 +2023-03-05 01:15:46,699 - mmseg - INFO - Iter [51550/160000] lr: 3.750e-05, eta: 7:10:56, time: 0.191, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1971, decode.acc_seg: 91.8175, loss: 0.1971 +2023-03-05 01:15:56,155 - mmseg - INFO - Iter [51600/160000] lr: 3.750e-05, eta: 7:10:38, time: 0.189, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1973, decode.acc_seg: 91.9843, loss: 0.1973 +2023-03-05 01:16:05,581 - mmseg - INFO - Iter [51650/160000] lr: 3.750e-05, eta: 7:10:21, time: 0.189, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1946, decode.acc_seg: 91.9185, loss: 0.1946 +2023-03-05 01:16:15,178 - mmseg - INFO - Iter [51700/160000] lr: 3.750e-05, eta: 7:10:05, time: 0.192, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1897, decode.acc_seg: 92.2257, loss: 0.1897 +2023-03-05 01:16:27,253 - mmseg - INFO - Iter [51750/160000] lr: 3.750e-05, eta: 7:09:53, time: 0.242, data_time: 0.059, memory: 52540, decode.loss_ce: 0.1913, decode.acc_seg: 92.1720, loss: 0.1913 +2023-03-05 01:16:36,715 - mmseg - INFO - Iter [51800/160000] lr: 3.750e-05, eta: 7:09:36, time: 0.189, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1825, decode.acc_seg: 92.4341, loss: 0.1825 +2023-03-05 01:16:46,192 - mmseg - INFO - Iter [51850/160000] lr: 3.750e-05, eta: 7:09:19, time: 0.190, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1986, decode.acc_seg: 91.8845, loss: 0.1986 +2023-03-05 01:16:55,809 - mmseg - INFO - Iter [51900/160000] lr: 3.750e-05, eta: 7:09:02, time: 0.192, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1897, decode.acc_seg: 92.1124, loss: 0.1897 +2023-03-05 01:17:05,311 - mmseg - INFO - Iter [51950/160000] lr: 3.750e-05, eta: 7:08:45, time: 0.190, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1966, decode.acc_seg: 92.0426, loss: 0.1966 +2023-03-05 01:17:15,117 - mmseg - INFO - Exp name: ablation_segformer_mit_b2_segformer_head_unet_fc_small_multi_step_ade_pretrained_freeze_embed_160k_ade20k151_mask_finetune_maskonly.py +2023-03-05 01:17:15,118 - mmseg - INFO - Iter [52000/160000] lr: 3.750e-05, eta: 7:08:29, time: 0.196, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1878, decode.acc_seg: 92.2979, loss: 0.1878 +2023-03-05 01:17:24,828 - mmseg - INFO - Iter [52050/160000] lr: 3.750e-05, eta: 7:08:13, time: 0.194, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1969, decode.acc_seg: 91.8903, loss: 0.1969 +2023-03-05 01:17:34,384 - mmseg - INFO - Iter [52100/160000] lr: 3.750e-05, eta: 7:07:56, time: 0.191, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1969, decode.acc_seg: 91.8445, loss: 0.1969 +2023-03-05 01:17:44,312 - mmseg - INFO - Iter [52150/160000] lr: 3.750e-05, eta: 7:07:40, time: 0.199, data_time: 0.008, memory: 52540, decode.loss_ce: 0.1901, decode.acc_seg: 92.3579, loss: 0.1901 +2023-03-05 01:17:53,805 - mmseg - INFO - Iter [52200/160000] lr: 3.750e-05, eta: 7:07:23, time: 0.190, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1957, decode.acc_seg: 92.1574, loss: 0.1957 +2023-03-05 01:18:03,491 - mmseg - INFO - Iter [52250/160000] lr: 3.750e-05, eta: 7:07:07, time: 0.194, data_time: 0.008, memory: 52540, decode.loss_ce: 0.1976, decode.acc_seg: 91.8829, loss: 0.1976 +2023-03-05 01:18:13,096 - mmseg - INFO - Iter [52300/160000] lr: 3.750e-05, eta: 7:06:50, time: 0.192, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1939, decode.acc_seg: 91.9586, loss: 0.1939 +2023-03-05 01:18:22,639 - mmseg - INFO - Iter [52350/160000] lr: 3.750e-05, eta: 7:06:33, time: 0.191, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1881, decode.acc_seg: 92.2651, loss: 0.1881 +2023-03-05 01:18:34,785 - mmseg - INFO - Iter [52400/160000] lr: 3.750e-05, eta: 7:06:22, time: 0.243, data_time: 0.056, memory: 52540, decode.loss_ce: 0.1957, decode.acc_seg: 92.0604, loss: 0.1957 +2023-03-05 01:18:44,419 - mmseg - INFO - Iter [52450/160000] lr: 3.750e-05, eta: 7:06:05, time: 0.193, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1886, decode.acc_seg: 92.1424, loss: 0.1886 +2023-03-05 01:18:54,086 - mmseg - INFO - Iter [52500/160000] lr: 3.750e-05, eta: 7:05:49, time: 0.193, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1887, decode.acc_seg: 92.2072, loss: 0.1887 +2023-03-05 01:19:04,089 - mmseg - INFO - Iter [52550/160000] lr: 3.750e-05, eta: 7:05:33, time: 0.200, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1901, decode.acc_seg: 92.3053, loss: 0.1901 +2023-03-05 01:19:13,489 - mmseg - INFO - Iter [52600/160000] lr: 3.750e-05, eta: 7:05:16, time: 0.188, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1851, decode.acc_seg: 92.4080, loss: 0.1851 +2023-03-05 01:19:23,065 - mmseg - INFO - Iter [52650/160000] lr: 3.750e-05, eta: 7:05:00, time: 0.192, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1902, decode.acc_seg: 92.1713, loss: 0.1902 +2023-03-05 01:19:32,631 - mmseg - INFO - Iter [52700/160000] lr: 3.750e-05, eta: 7:04:43, time: 0.191, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1931, decode.acc_seg: 92.2864, loss: 0.1931 +2023-03-05 01:19:42,226 - mmseg - INFO - Iter [52750/160000] lr: 3.750e-05, eta: 7:04:27, time: 0.192, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1908, decode.acc_seg: 92.3019, loss: 0.1908 +2023-03-05 01:19:51,869 - mmseg - INFO - Iter [52800/160000] lr: 3.750e-05, eta: 7:04:10, time: 0.193, data_time: 0.008, memory: 52540, decode.loss_ce: 0.1900, decode.acc_seg: 92.1961, loss: 0.1900 +2023-03-05 01:20:01,294 - mmseg - INFO - Iter [52850/160000] lr: 3.750e-05, eta: 7:03:53, time: 0.189, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1826, decode.acc_seg: 92.5720, loss: 0.1826 +2023-03-05 01:20:11,050 - mmseg - INFO - Iter [52900/160000] lr: 3.750e-05, eta: 7:03:37, time: 0.195, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1918, decode.acc_seg: 92.1169, loss: 0.1918 +2023-03-05 01:20:20,990 - mmseg - INFO - Iter [52950/160000] lr: 3.750e-05, eta: 7:03:22, time: 0.199, data_time: 0.008, memory: 52540, decode.loss_ce: 0.1989, decode.acc_seg: 91.8285, loss: 0.1989 +2023-03-05 01:20:30,517 - mmseg - INFO - Exp name: ablation_segformer_mit_b2_segformer_head_unet_fc_small_multi_step_ade_pretrained_freeze_embed_160k_ade20k151_mask_finetune_maskonly.py +2023-03-05 01:20:30,517 - mmseg - INFO - Iter [53000/160000] lr: 3.750e-05, eta: 7:03:05, time: 0.191, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1937, decode.acc_seg: 92.2177, loss: 0.1937 +2023-03-05 01:20:42,633 - mmseg - INFO - Iter [53050/160000] lr: 3.750e-05, eta: 7:02:54, time: 0.242, data_time: 0.055, memory: 52540, decode.loss_ce: 0.1926, decode.acc_seg: 92.1224, loss: 0.1926 +2023-03-05 01:20:52,298 - mmseg - INFO - Iter [53100/160000] lr: 3.750e-05, eta: 7:02:37, time: 0.193, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1891, decode.acc_seg: 92.2318, loss: 0.1891 +2023-03-05 01:21:02,147 - mmseg - INFO - Iter [53150/160000] lr: 3.750e-05, eta: 7:02:21, time: 0.197, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1899, decode.acc_seg: 92.2376, loss: 0.1899 +2023-03-05 01:21:11,720 - mmseg - INFO - Iter [53200/160000] lr: 3.750e-05, eta: 7:02:05, time: 0.191, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1942, decode.acc_seg: 92.0301, loss: 0.1942 +2023-03-05 01:21:21,586 - mmseg - INFO - Iter [53250/160000] lr: 3.750e-05, eta: 7:01:49, time: 0.198, data_time: 0.008, memory: 52540, decode.loss_ce: 0.1928, decode.acc_seg: 92.0754, loss: 0.1928 +2023-03-05 01:21:31,301 - mmseg - INFO - Iter [53300/160000] lr: 3.750e-05, eta: 7:01:33, time: 0.194, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1972, decode.acc_seg: 92.0046, loss: 0.1972 +2023-03-05 01:21:40,898 - mmseg - INFO - Iter [53350/160000] lr: 3.750e-05, eta: 7:01:17, time: 0.192, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1959, decode.acc_seg: 91.9835, loss: 0.1959 +2023-03-05 01:21:50,510 - mmseg - INFO - Iter [53400/160000] lr: 3.750e-05, eta: 7:01:00, time: 0.192, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1869, decode.acc_seg: 92.2788, loss: 0.1869 +2023-03-05 01:22:00,312 - mmseg - INFO - Iter [53450/160000] lr: 3.750e-05, eta: 7:00:44, time: 0.196, data_time: 0.008, memory: 52540, decode.loss_ce: 0.1950, decode.acc_seg: 91.9743, loss: 0.1950 +2023-03-05 01:22:09,934 - mmseg - INFO - Iter [53500/160000] lr: 3.750e-05, eta: 7:00:28, time: 0.193, data_time: 0.008, memory: 52540, decode.loss_ce: 0.1954, decode.acc_seg: 92.1218, loss: 0.1954 +2023-03-05 01:22:19,856 - mmseg - INFO - Iter [53550/160000] lr: 3.750e-05, eta: 7:00:12, time: 0.198, data_time: 0.008, memory: 52540, decode.loss_ce: 0.1970, decode.acc_seg: 92.1113, loss: 0.1970 +2023-03-05 01:22:29,356 - mmseg - INFO - Iter [53600/160000] lr: 3.750e-05, eta: 6:59:56, time: 0.190, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1944, decode.acc_seg: 91.9466, loss: 0.1944 +2023-03-05 01:22:41,418 - mmseg - INFO - Iter [53650/160000] lr: 3.750e-05, eta: 6:59:45, time: 0.241, data_time: 0.058, memory: 52540, decode.loss_ce: 0.2007, decode.acc_seg: 91.7269, loss: 0.2007 +2023-03-05 01:22:50,999 - mmseg - INFO - Iter [53700/160000] lr: 3.750e-05, eta: 6:59:28, time: 0.192, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1959, decode.acc_seg: 92.0936, loss: 0.1959 +2023-03-05 01:23:00,768 - mmseg - INFO - Iter [53750/160000] lr: 3.750e-05, eta: 6:59:12, time: 0.195, data_time: 0.008, memory: 52540, decode.loss_ce: 0.1935, decode.acc_seg: 92.0010, loss: 0.1935 +2023-03-05 01:23:10,937 - mmseg - INFO - Iter [53800/160000] lr: 3.750e-05, eta: 6:58:57, time: 0.203, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1973, decode.acc_seg: 91.9630, loss: 0.1973 +2023-03-05 01:23:20,391 - mmseg - INFO - Iter [53850/160000] lr: 3.750e-05, eta: 6:58:41, time: 0.189, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1931, decode.acc_seg: 92.0663, loss: 0.1931 +2023-03-05 01:23:30,098 - mmseg - INFO - Iter [53900/160000] lr: 3.750e-05, eta: 6:58:25, time: 0.194, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1964, decode.acc_seg: 91.9736, loss: 0.1964 +2023-03-05 01:23:39,713 - mmseg - INFO - Iter [53950/160000] lr: 3.750e-05, eta: 6:58:08, time: 0.192, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1915, decode.acc_seg: 92.2184, loss: 0.1915 +2023-03-05 01:23:49,312 - mmseg - INFO - Exp name: ablation_segformer_mit_b2_segformer_head_unet_fc_small_multi_step_ade_pretrained_freeze_embed_160k_ade20k151_mask_finetune_maskonly.py +2023-03-05 01:23:49,313 - mmseg - INFO - Iter [54000/160000] lr: 3.750e-05, eta: 6:57:52, time: 0.192, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1904, decode.acc_seg: 92.1733, loss: 0.1904 +2023-03-05 01:23:58,989 - mmseg - INFO - Iter [54050/160000] lr: 3.750e-05, eta: 6:57:36, time: 0.194, data_time: 0.008, memory: 52540, decode.loss_ce: 0.1938, decode.acc_seg: 92.1801, loss: 0.1938 +2023-03-05 01:24:08,467 - mmseg - INFO - Iter [54100/160000] lr: 3.750e-05, eta: 6:57:20, time: 0.190, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1947, decode.acc_seg: 91.9975, loss: 0.1947 +2023-03-05 01:24:17,867 - mmseg - INFO - Iter [54150/160000] lr: 3.750e-05, eta: 6:57:03, time: 0.188, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1955, decode.acc_seg: 92.0307, loss: 0.1955 +2023-03-05 01:24:27,408 - mmseg - INFO - Iter [54200/160000] lr: 3.750e-05, eta: 6:56:47, time: 0.191, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1883, decode.acc_seg: 92.1680, loss: 0.1883 +2023-03-05 01:24:37,205 - mmseg - INFO - Iter [54250/160000] lr: 3.750e-05, eta: 6:56:31, time: 0.196, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1896, decode.acc_seg: 92.3536, loss: 0.1896 +2023-03-05 01:24:49,307 - mmseg - INFO - Iter [54300/160000] lr: 3.750e-05, eta: 6:56:20, time: 0.242, data_time: 0.055, memory: 52540, decode.loss_ce: 0.1794, decode.acc_seg: 92.5565, loss: 0.1794 +2023-03-05 01:24:59,088 - mmseg - INFO - Iter [54350/160000] lr: 3.750e-05, eta: 6:56:04, time: 0.196, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1900, decode.acc_seg: 92.0835, loss: 0.1900 +2023-03-05 01:25:08,940 - mmseg - INFO - Iter [54400/160000] lr: 3.750e-05, eta: 6:55:48, time: 0.197, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1912, decode.acc_seg: 92.2286, loss: 0.1912 +2023-03-05 01:25:18,810 - mmseg - INFO - Iter [54450/160000] lr: 3.750e-05, eta: 6:55:33, time: 0.197, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1858, decode.acc_seg: 92.2995, loss: 0.1858 +2023-03-05 01:25:28,525 - mmseg - INFO - Iter [54500/160000] lr: 3.750e-05, eta: 6:55:17, time: 0.194, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1864, decode.acc_seg: 92.3185, loss: 0.1864 +2023-03-05 01:25:38,071 - mmseg - INFO - Iter [54550/160000] lr: 3.750e-05, eta: 6:55:01, time: 0.191, data_time: 0.007, memory: 52540, decode.loss_ce: 0.2002, decode.acc_seg: 91.7743, loss: 0.2002 +2023-03-05 01:25:47,965 - mmseg - INFO - Iter [54600/160000] lr: 3.750e-05, eta: 6:54:45, time: 0.198, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1928, decode.acc_seg: 92.1217, loss: 0.1928 +2023-03-05 01:25:57,437 - mmseg - INFO - Iter [54650/160000] lr: 3.750e-05, eta: 6:54:29, time: 0.189, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1877, decode.acc_seg: 92.3103, loss: 0.1877 +2023-03-05 01:26:06,891 - mmseg - INFO - Iter [54700/160000] lr: 3.750e-05, eta: 6:54:13, time: 0.189, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1856, decode.acc_seg: 92.2718, loss: 0.1856 +2023-03-05 01:26:16,565 - mmseg - INFO - Iter [54750/160000] lr: 3.750e-05, eta: 6:53:57, time: 0.194, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1905, decode.acc_seg: 92.1571, loss: 0.1905 +2023-03-05 01:26:26,005 - mmseg - INFO - Iter [54800/160000] lr: 3.750e-05, eta: 6:53:41, time: 0.189, data_time: 0.008, memory: 52540, decode.loss_ce: 0.2037, decode.acc_seg: 91.7969, loss: 0.2037 +2023-03-05 01:26:35,731 - mmseg - INFO - Iter [54850/160000] lr: 3.750e-05, eta: 6:53:25, time: 0.195, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1895, decode.acc_seg: 92.1607, loss: 0.1895 +2023-03-05 01:26:48,098 - mmseg - INFO - Iter [54900/160000] lr: 3.750e-05, eta: 6:53:14, time: 0.247, data_time: 0.055, memory: 52540, decode.loss_ce: 0.1932, decode.acc_seg: 92.0392, loss: 0.1932 +2023-03-05 01:26:57,717 - mmseg - INFO - Iter [54950/160000] lr: 3.750e-05, eta: 6:52:58, time: 0.193, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1955, decode.acc_seg: 91.9530, loss: 0.1955 +2023-03-05 01:27:07,306 - mmseg - INFO - Exp name: ablation_segformer_mit_b2_segformer_head_unet_fc_small_multi_step_ade_pretrained_freeze_embed_160k_ade20k151_mask_finetune_maskonly.py +2023-03-05 01:27:07,306 - mmseg - INFO - Iter [55000/160000] lr: 3.750e-05, eta: 6:52:42, time: 0.192, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1935, decode.acc_seg: 92.0186, loss: 0.1935 +2023-03-05 01:27:17,371 - mmseg - INFO - Iter [55050/160000] lr: 3.750e-05, eta: 6:52:27, time: 0.201, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1925, decode.acc_seg: 92.0182, loss: 0.1925 +2023-03-05 01:27:26,872 - mmseg - INFO - Iter [55100/160000] lr: 3.750e-05, eta: 6:52:11, time: 0.190, data_time: 0.008, memory: 52540, decode.loss_ce: 0.1927, decode.acc_seg: 92.0731, loss: 0.1927 +2023-03-05 01:27:36,537 - mmseg - INFO - Iter [55150/160000] lr: 3.750e-05, eta: 6:51:55, time: 0.193, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1930, decode.acc_seg: 92.1054, loss: 0.1930 +2023-03-05 01:27:46,058 - mmseg - INFO - Iter [55200/160000] lr: 3.750e-05, eta: 6:51:39, time: 0.190, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1943, decode.acc_seg: 92.1210, loss: 0.1943 +2023-03-05 01:27:55,599 - mmseg - INFO - Iter [55250/160000] lr: 3.750e-05, eta: 6:51:23, time: 0.191, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1877, decode.acc_seg: 92.3899, loss: 0.1877 +2023-03-05 01:28:05,217 - mmseg - INFO - Iter [55300/160000] lr: 3.750e-05, eta: 6:51:07, time: 0.192, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1922, decode.acc_seg: 92.2266, loss: 0.1922 +2023-03-05 01:28:14,796 - mmseg - INFO - Iter [55350/160000] lr: 3.750e-05, eta: 6:50:51, time: 0.192, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1984, decode.acc_seg: 91.9591, loss: 0.1984 +2023-03-05 01:28:24,204 - mmseg - INFO - Iter [55400/160000] lr: 3.750e-05, eta: 6:50:35, time: 0.188, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1910, decode.acc_seg: 92.2142, loss: 0.1910 +2023-03-05 01:28:33,942 - mmseg - INFO - Iter [55450/160000] lr: 3.750e-05, eta: 6:50:19, time: 0.195, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1904, decode.acc_seg: 92.1595, loss: 0.1904 +2023-03-05 01:28:43,858 - mmseg - INFO - Iter [55500/160000] lr: 3.750e-05, eta: 6:50:04, time: 0.198, data_time: 0.008, memory: 52540, decode.loss_ce: 0.1969, decode.acc_seg: 92.0093, loss: 0.1969 +2023-03-05 01:28:55,992 - mmseg - INFO - Iter [55550/160000] lr: 3.750e-05, eta: 6:49:53, time: 0.243, data_time: 0.053, memory: 52540, decode.loss_ce: 0.1862, decode.acc_seg: 92.3327, loss: 0.1862 +2023-03-05 01:29:05,603 - mmseg - INFO - Iter [55600/160000] lr: 3.750e-05, eta: 6:49:37, time: 0.192, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1819, decode.acc_seg: 92.5177, loss: 0.1819 +2023-03-05 01:29:15,430 - mmseg - INFO - Iter [55650/160000] lr: 3.750e-05, eta: 6:49:22, time: 0.197, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1955, decode.acc_seg: 91.8393, loss: 0.1955 +2023-03-05 01:29:25,141 - mmseg - INFO - Iter [55700/160000] lr: 3.750e-05, eta: 6:49:06, time: 0.194, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1975, decode.acc_seg: 92.0225, loss: 0.1975 +2023-03-05 01:29:34,726 - mmseg - INFO - Iter [55750/160000] lr: 3.750e-05, eta: 6:48:50, time: 0.192, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1961, decode.acc_seg: 92.0662, loss: 0.1961 +2023-03-05 01:29:44,216 - mmseg - INFO - Iter [55800/160000] lr: 3.750e-05, eta: 6:48:34, time: 0.190, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1902, decode.acc_seg: 92.1733, loss: 0.1902 +2023-03-05 01:29:53,864 - mmseg - INFO - Iter [55850/160000] lr: 3.750e-05, eta: 6:48:18, time: 0.193, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1855, decode.acc_seg: 92.2528, loss: 0.1855 +2023-03-05 01:30:03,526 - mmseg - INFO - Iter [55900/160000] lr: 3.750e-05, eta: 6:48:03, time: 0.193, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1918, decode.acc_seg: 92.0978, loss: 0.1918 +2023-03-05 01:30:13,071 - mmseg - INFO - Iter [55950/160000] lr: 3.750e-05, eta: 6:47:47, time: 0.191, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1899, decode.acc_seg: 92.1633, loss: 0.1899 +2023-03-05 01:30:22,610 - mmseg - INFO - Exp name: ablation_segformer_mit_b2_segformer_head_unet_fc_small_multi_step_ade_pretrained_freeze_embed_160k_ade20k151_mask_finetune_maskonly.py +2023-03-05 01:30:22,611 - mmseg - INFO - Iter [56000/160000] lr: 3.750e-05, eta: 6:47:31, time: 0.191, data_time: 0.008, memory: 52540, decode.loss_ce: 0.1971, decode.acc_seg: 91.8709, loss: 0.1971 +2023-03-05 01:30:32,041 - mmseg - INFO - Iter [56050/160000] lr: 3.750e-05, eta: 6:47:15, time: 0.189, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1937, decode.acc_seg: 92.1760, loss: 0.1937 +2023-03-05 01:30:41,570 - mmseg - INFO - Iter [56100/160000] lr: 3.750e-05, eta: 6:46:59, time: 0.191, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1959, decode.acc_seg: 91.9872, loss: 0.1959 +2023-03-05 01:30:51,066 - mmseg - INFO - Iter [56150/160000] lr: 3.750e-05, eta: 6:46:43, time: 0.190, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1935, decode.acc_seg: 92.0152, loss: 0.1935 +2023-03-05 01:31:03,183 - mmseg - INFO - Iter [56200/160000] lr: 3.750e-05, eta: 6:46:32, time: 0.243, data_time: 0.058, memory: 52540, decode.loss_ce: 0.1950, decode.acc_seg: 92.0181, loss: 0.1950 +2023-03-05 01:31:12,617 - mmseg - INFO - Iter [56250/160000] lr: 3.750e-05, eta: 6:46:16, time: 0.189, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1946, decode.acc_seg: 91.9859, loss: 0.1946 +2023-03-05 01:31:22,239 - mmseg - INFO - Iter [56300/160000] lr: 3.750e-05, eta: 6:46:00, time: 0.192, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1956, decode.acc_seg: 92.0059, loss: 0.1956 +2023-03-05 01:31:31,869 - mmseg - INFO - Iter [56350/160000] lr: 3.750e-05, eta: 6:45:45, time: 0.193, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1926, decode.acc_seg: 91.9962, loss: 0.1926 +2023-03-05 01:31:41,279 - mmseg - INFO - Iter [56400/160000] lr: 3.750e-05, eta: 6:45:29, time: 0.188, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1889, decode.acc_seg: 92.3519, loss: 0.1889 +2023-03-05 01:31:50,703 - mmseg - INFO - Iter [56450/160000] lr: 3.750e-05, eta: 6:45:13, time: 0.188, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1917, decode.acc_seg: 92.1425, loss: 0.1917 +2023-03-05 01:32:00,360 - mmseg - INFO - Iter [56500/160000] lr: 3.750e-05, eta: 6:44:57, time: 0.193, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1938, decode.acc_seg: 92.2439, loss: 0.1938 +2023-03-05 01:32:09,762 - mmseg - INFO - Iter [56550/160000] lr: 3.750e-05, eta: 6:44:41, time: 0.188, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1909, decode.acc_seg: 92.1583, loss: 0.1909 +2023-03-05 01:32:19,703 - mmseg - INFO - Iter [56600/160000] lr: 3.750e-05, eta: 6:44:26, time: 0.199, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1962, decode.acc_seg: 92.0435, loss: 0.1962 +2023-03-05 01:32:29,300 - mmseg - INFO - Iter [56650/160000] lr: 3.750e-05, eta: 6:44:10, time: 0.192, data_time: 0.007, memory: 52540, decode.loss_ce: 0.2009, decode.acc_seg: 91.7873, loss: 0.2009 +2023-03-05 01:32:38,842 - mmseg - INFO - Iter [56700/160000] lr: 3.750e-05, eta: 6:43:55, time: 0.191, data_time: 0.008, memory: 52540, decode.loss_ce: 0.2000, decode.acc_seg: 91.9399, loss: 0.2000 +2023-03-05 01:32:48,520 - mmseg - INFO - Iter [56750/160000] lr: 3.750e-05, eta: 6:43:39, time: 0.194, data_time: 0.008, memory: 52540, decode.loss_ce: 0.1952, decode.acc_seg: 91.9933, loss: 0.1952 +2023-03-05 01:33:00,695 - mmseg - INFO - Iter [56800/160000] lr: 3.750e-05, eta: 6:43:28, time: 0.243, data_time: 0.054, memory: 52540, decode.loss_ce: 0.1926, decode.acc_seg: 92.0648, loss: 0.1926 +2023-03-05 01:33:10,279 - mmseg - INFO - Iter [56850/160000] lr: 3.750e-05, eta: 6:43:13, time: 0.192, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1803, decode.acc_seg: 92.5075, loss: 0.1803 +2023-03-05 01:33:19,929 - mmseg - INFO - Iter [56900/160000] lr: 3.750e-05, eta: 6:42:57, time: 0.193, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1960, decode.acc_seg: 91.8932, loss: 0.1960 +2023-03-05 01:33:29,774 - mmseg - INFO - Iter [56950/160000] lr: 3.750e-05, eta: 6:42:42, time: 0.197, data_time: 0.008, memory: 52540, decode.loss_ce: 0.1829, decode.acc_seg: 92.5515, loss: 0.1829 +2023-03-05 01:33:39,292 - mmseg - INFO - Exp name: ablation_segformer_mit_b2_segformer_head_unet_fc_small_multi_step_ade_pretrained_freeze_embed_160k_ade20k151_mask_finetune_maskonly.py +2023-03-05 01:33:39,292 - mmseg - INFO - Iter [57000/160000] lr: 3.750e-05, eta: 6:42:26, time: 0.190, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1942, decode.acc_seg: 92.1456, loss: 0.1942 +2023-03-05 01:33:48,768 - mmseg - INFO - Iter [57050/160000] lr: 3.750e-05, eta: 6:42:11, time: 0.190, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1957, decode.acc_seg: 92.0770, loss: 0.1957 +2023-03-05 01:33:58,454 - mmseg - INFO - Iter [57100/160000] lr: 3.750e-05, eta: 6:41:55, time: 0.194, data_time: 0.008, memory: 52540, decode.loss_ce: 0.2017, decode.acc_seg: 91.9474, loss: 0.2017 +2023-03-05 01:34:08,335 - mmseg - INFO - Iter [57150/160000] lr: 3.750e-05, eta: 6:41:40, time: 0.198, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1992, decode.acc_seg: 91.8460, loss: 0.1992 +2023-03-05 01:34:17,817 - mmseg - INFO - Iter [57200/160000] lr: 3.750e-05, eta: 6:41:24, time: 0.190, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1919, decode.acc_seg: 92.1545, loss: 0.1919 +2023-03-05 01:34:27,458 - mmseg - INFO - Iter [57250/160000] lr: 3.750e-05, eta: 6:41:09, time: 0.193, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1933, decode.acc_seg: 92.0803, loss: 0.1933 +2023-03-05 01:34:37,281 - mmseg - INFO - Iter [57300/160000] lr: 3.750e-05, eta: 6:40:54, time: 0.196, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1989, decode.acc_seg: 91.8669, loss: 0.1989 +2023-03-05 01:34:46,828 - mmseg - INFO - Iter [57350/160000] lr: 3.750e-05, eta: 6:40:38, time: 0.191, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1783, decode.acc_seg: 92.6491, loss: 0.1783 +2023-03-05 01:34:56,297 - mmseg - INFO - Iter [57400/160000] lr: 3.750e-05, eta: 6:40:23, time: 0.189, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1872, decode.acc_seg: 92.3452, loss: 0.1872 +2023-03-05 01:35:08,402 - mmseg - INFO - Iter [57450/160000] lr: 3.750e-05, eta: 6:40:12, time: 0.242, data_time: 0.054, memory: 52540, decode.loss_ce: 0.1935, decode.acc_seg: 92.0186, loss: 0.1935 +2023-03-05 01:35:18,060 - mmseg - INFO - Iter [57500/160000] lr: 3.750e-05, eta: 6:39:56, time: 0.193, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1941, decode.acc_seg: 92.1846, loss: 0.1941 +2023-03-05 01:35:27,582 - mmseg - INFO - Iter [57550/160000] lr: 3.750e-05, eta: 6:39:41, time: 0.190, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1914, decode.acc_seg: 92.1702, loss: 0.1914 +2023-03-05 01:35:37,183 - mmseg - INFO - Iter [57600/160000] lr: 3.750e-05, eta: 6:39:25, time: 0.192, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1908, decode.acc_seg: 92.1746, loss: 0.1908 +2023-03-05 01:35:47,082 - mmseg - INFO - Iter [57650/160000] lr: 3.750e-05, eta: 6:39:10, time: 0.198, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1892, decode.acc_seg: 92.2466, loss: 0.1892 +2023-03-05 01:35:56,521 - mmseg - INFO - Iter [57700/160000] lr: 3.750e-05, eta: 6:38:55, time: 0.189, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1890, decode.acc_seg: 92.0223, loss: 0.1890 +2023-03-05 01:36:06,339 - mmseg - INFO - Iter [57750/160000] lr: 3.750e-05, eta: 6:38:40, time: 0.196, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1933, decode.acc_seg: 92.1773, loss: 0.1933 +2023-03-05 01:36:16,013 - mmseg - INFO - Iter [57800/160000] lr: 3.750e-05, eta: 6:38:24, time: 0.193, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1860, decode.acc_seg: 92.3022, loss: 0.1860 +2023-03-05 01:36:25,451 - mmseg - INFO - Iter [57850/160000] lr: 3.750e-05, eta: 6:38:09, time: 0.189, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1839, decode.acc_seg: 92.3839, loss: 0.1839 +2023-03-05 01:36:35,288 - mmseg - INFO - Iter [57900/160000] lr: 3.750e-05, eta: 6:37:54, time: 0.197, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1833, decode.acc_seg: 92.2479, loss: 0.1833 +2023-03-05 01:36:45,082 - mmseg - INFO - Iter [57950/160000] lr: 3.750e-05, eta: 6:37:39, time: 0.196, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1993, decode.acc_seg: 91.8950, loss: 0.1993 +2023-03-05 01:36:54,679 - mmseg - INFO - Exp name: ablation_segformer_mit_b2_segformer_head_unet_fc_small_multi_step_ade_pretrained_freeze_embed_160k_ade20k151_mask_finetune_maskonly.py +2023-03-05 01:36:54,679 - mmseg - INFO - Iter [58000/160000] lr: 3.750e-05, eta: 6:37:23, time: 0.192, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1900, decode.acc_seg: 92.0941, loss: 0.1900 +2023-03-05 01:37:04,274 - mmseg - INFO - Iter [58050/160000] lr: 3.750e-05, eta: 6:37:08, time: 0.192, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1886, decode.acc_seg: 92.3287, loss: 0.1886 +2023-03-05 01:37:16,560 - mmseg - INFO - Iter [58100/160000] lr: 3.750e-05, eta: 6:36:57, time: 0.246, data_time: 0.061, memory: 52540, decode.loss_ce: 0.1937, decode.acc_seg: 92.0350, loss: 0.1937 +2023-03-05 01:37:26,470 - mmseg - INFO - Iter [58150/160000] lr: 3.750e-05, eta: 6:36:42, time: 0.198, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1960, decode.acc_seg: 92.0311, loss: 0.1960 +2023-03-05 01:37:35,920 - mmseg - INFO - Iter [58200/160000] lr: 3.750e-05, eta: 6:36:27, time: 0.189, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1970, decode.acc_seg: 92.0593, loss: 0.1970 +2023-03-05 01:37:45,412 - mmseg - INFO - Iter [58250/160000] lr: 3.750e-05, eta: 6:36:11, time: 0.190, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1923, decode.acc_seg: 92.0590, loss: 0.1923 +2023-03-05 01:37:55,025 - mmseg - INFO - Iter [58300/160000] lr: 3.750e-05, eta: 6:35:56, time: 0.192, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1980, decode.acc_seg: 91.7179, loss: 0.1980 +2023-03-05 01:38:04,454 - mmseg - INFO - Iter [58350/160000] lr: 3.750e-05, eta: 6:35:40, time: 0.189, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1897, decode.acc_seg: 92.2391, loss: 0.1897 +2023-03-05 01:38:14,127 - mmseg - INFO - Iter [58400/160000] lr: 3.750e-05, eta: 6:35:25, time: 0.193, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1906, decode.acc_seg: 92.1815, loss: 0.1906 +2023-03-05 01:38:23,690 - mmseg - INFO - Iter [58450/160000] lr: 3.750e-05, eta: 6:35:10, time: 0.191, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1839, decode.acc_seg: 92.3858, loss: 0.1839 +2023-03-05 01:38:33,419 - mmseg - INFO - Iter [58500/160000] lr: 3.750e-05, eta: 6:34:55, time: 0.195, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1854, decode.acc_seg: 92.3159, loss: 0.1854 +2023-03-05 01:38:42,854 - mmseg - INFO - Iter [58550/160000] lr: 3.750e-05, eta: 6:34:39, time: 0.189, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1889, decode.acc_seg: 92.1694, loss: 0.1889 +2023-03-05 01:38:52,287 - mmseg - INFO - Iter [58600/160000] lr: 3.750e-05, eta: 6:34:24, time: 0.189, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1915, decode.acc_seg: 92.2920, loss: 0.1915 +2023-03-05 01:39:01,851 - mmseg - INFO - Iter [58650/160000] lr: 3.750e-05, eta: 6:34:08, time: 0.191, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1961, decode.acc_seg: 92.0840, loss: 0.1961 +2023-03-05 01:39:13,868 - mmseg - INFO - Iter [58700/160000] lr: 3.750e-05, eta: 6:33:57, time: 0.241, data_time: 0.055, memory: 52540, decode.loss_ce: 0.1851, decode.acc_seg: 92.4627, loss: 0.1851 +2023-03-05 01:39:23,314 - mmseg - INFO - Iter [58750/160000] lr: 3.750e-05, eta: 6:33:42, time: 0.189, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1960, decode.acc_seg: 91.9122, loss: 0.1960 +2023-03-05 01:39:33,062 - mmseg - INFO - Iter [58800/160000] lr: 3.750e-05, eta: 6:33:27, time: 0.195, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1881, decode.acc_seg: 92.2316, loss: 0.1881 +2023-03-05 01:39:42,737 - mmseg - INFO - Iter [58850/160000] lr: 3.750e-05, eta: 6:33:12, time: 0.193, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1919, decode.acc_seg: 92.1057, loss: 0.1919 +2023-03-05 01:39:52,477 - mmseg - INFO - Iter [58900/160000] lr: 3.750e-05, eta: 6:32:57, time: 0.195, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1890, decode.acc_seg: 92.3827, loss: 0.1890 +2023-03-05 01:40:02,192 - mmseg - INFO - Iter [58950/160000] lr: 3.750e-05, eta: 6:32:42, time: 0.194, data_time: 0.008, memory: 52540, decode.loss_ce: 0.1949, decode.acc_seg: 92.0758, loss: 0.1949 +2023-03-05 01:40:12,305 - mmseg - INFO - Exp name: ablation_segformer_mit_b2_segformer_head_unet_fc_small_multi_step_ade_pretrained_freeze_embed_160k_ade20k151_mask_finetune_maskonly.py +2023-03-05 01:40:12,305 - mmseg - INFO - Iter [59000/160000] lr: 3.750e-05, eta: 6:32:28, time: 0.202, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1911, decode.acc_seg: 92.1574, loss: 0.1911 +2023-03-05 01:40:21,922 - mmseg - INFO - Iter [59050/160000] lr: 3.750e-05, eta: 6:32:12, time: 0.193, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1966, decode.acc_seg: 91.9618, loss: 0.1966 +2023-03-05 01:40:31,988 - mmseg - INFO - Iter [59100/160000] lr: 3.750e-05, eta: 6:31:58, time: 0.201, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1918, decode.acc_seg: 92.2047, loss: 0.1918 +2023-03-05 01:40:41,761 - mmseg - INFO - Iter [59150/160000] lr: 3.750e-05, eta: 6:31:43, time: 0.195, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1920, decode.acc_seg: 92.0270, loss: 0.1920 +2023-03-05 01:40:51,426 - mmseg - INFO - Iter [59200/160000] lr: 3.750e-05, eta: 6:31:28, time: 0.193, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1953, decode.acc_seg: 92.1627, loss: 0.1953 +2023-03-05 01:41:00,869 - mmseg - INFO - Iter [59250/160000] lr: 3.750e-05, eta: 6:31:13, time: 0.189, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1926, decode.acc_seg: 92.1363, loss: 0.1926 +2023-03-05 01:41:10,626 - mmseg - INFO - Iter [59300/160000] lr: 3.750e-05, eta: 6:30:58, time: 0.195, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1844, decode.acc_seg: 92.3473, loss: 0.1844 +2023-03-05 01:41:22,990 - mmseg - INFO - Iter [59350/160000] lr: 3.750e-05, eta: 6:30:48, time: 0.247, data_time: 0.056, memory: 52540, decode.loss_ce: 0.1855, decode.acc_seg: 92.2096, loss: 0.1855 +2023-03-05 01:41:32,583 - mmseg - INFO - Iter [59400/160000] lr: 3.750e-05, eta: 6:30:32, time: 0.192, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1977, decode.acc_seg: 92.0947, loss: 0.1977 +2023-03-05 01:41:42,034 - mmseg - INFO - Iter [59450/160000] lr: 3.750e-05, eta: 6:30:17, time: 0.189, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1895, decode.acc_seg: 92.1938, loss: 0.1895 +2023-03-05 01:41:51,700 - mmseg - INFO - Iter [59500/160000] lr: 3.750e-05, eta: 6:30:02, time: 0.193, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1911, decode.acc_seg: 92.1676, loss: 0.1911 +2023-03-05 01:42:01,287 - mmseg - INFO - Iter [59550/160000] lr: 3.750e-05, eta: 6:29:47, time: 0.192, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1843, decode.acc_seg: 92.4835, loss: 0.1843 +2023-03-05 01:42:11,089 - mmseg - INFO - Iter [59600/160000] lr: 3.750e-05, eta: 6:29:32, time: 0.196, data_time: 0.008, memory: 52540, decode.loss_ce: 0.1892, decode.acc_seg: 92.3153, loss: 0.1892 +2023-03-05 01:42:20,717 - mmseg - INFO - Iter [59650/160000] lr: 3.750e-05, eta: 6:29:17, time: 0.193, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1978, decode.acc_seg: 91.9447, loss: 0.1978 +2023-03-05 01:42:30,218 - mmseg - INFO - Iter [59700/160000] lr: 3.750e-05, eta: 6:29:02, time: 0.190, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1864, decode.acc_seg: 92.3934, loss: 0.1864 +2023-03-05 01:42:40,002 - mmseg - INFO - Iter [59750/160000] lr: 3.750e-05, eta: 6:28:47, time: 0.196, data_time: 0.007, memory: 52540, decode.loss_ce: 0.2013, decode.acc_seg: 91.8914, loss: 0.2013 +2023-03-05 01:42:49,494 - mmseg - INFO - Iter [59800/160000] lr: 3.750e-05, eta: 6:28:32, time: 0.190, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1862, decode.acc_seg: 92.3589, loss: 0.1862 +2023-03-05 01:42:59,560 - mmseg - INFO - Iter [59850/160000] lr: 3.750e-05, eta: 6:28:18, time: 0.201, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1999, decode.acc_seg: 91.8937, loss: 0.1999 +2023-03-05 01:43:09,088 - mmseg - INFO - Iter [59900/160000] lr: 3.750e-05, eta: 6:28:03, time: 0.191, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1895, decode.acc_seg: 92.1031, loss: 0.1895 +2023-03-05 01:43:21,195 - mmseg - INFO - Iter [59950/160000] lr: 3.750e-05, eta: 6:27:52, time: 0.242, data_time: 0.057, memory: 52540, decode.loss_ce: 0.1892, decode.acc_seg: 92.2171, loss: 0.1892 +2023-03-05 01:43:31,066 - mmseg - INFO - Exp name: ablation_segformer_mit_b2_segformer_head_unet_fc_small_multi_step_ade_pretrained_freeze_embed_160k_ade20k151_mask_finetune_maskonly.py +2023-03-05 01:43:31,066 - mmseg - INFO - Iter [60000/160000] lr: 3.750e-05, eta: 6:27:37, time: 0.197, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1957, decode.acc_seg: 91.9912, loss: 0.1957 +2023-03-05 01:43:40,596 - mmseg - INFO - Iter [60050/160000] lr: 1.875e-05, eta: 6:27:22, time: 0.191, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1876, decode.acc_seg: 92.1944, loss: 0.1876 +2023-03-05 01:43:50,549 - mmseg - INFO - Iter [60100/160000] lr: 1.875e-05, eta: 6:27:08, time: 0.199, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1878, decode.acc_seg: 92.3425, loss: 0.1878 +2023-03-05 01:44:00,091 - mmseg - INFO - Iter [60150/160000] lr: 1.875e-05, eta: 6:26:53, time: 0.191, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1800, decode.acc_seg: 92.6136, loss: 0.1800 +2023-03-05 01:44:09,707 - mmseg - INFO - Iter [60200/160000] lr: 1.875e-05, eta: 6:26:38, time: 0.192, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1924, decode.acc_seg: 92.0496, loss: 0.1924 +2023-03-05 01:44:19,234 - mmseg - INFO - Iter [60250/160000] lr: 1.875e-05, eta: 6:26:23, time: 0.191, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1934, decode.acc_seg: 92.1483, loss: 0.1934 +2023-03-05 01:44:28,932 - mmseg - INFO - Iter [60300/160000] lr: 1.875e-05, eta: 6:26:08, time: 0.194, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1960, decode.acc_seg: 91.8853, loss: 0.1960 +2023-03-05 01:44:38,537 - mmseg - INFO - Iter [60350/160000] lr: 1.875e-05, eta: 6:25:53, time: 0.192, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1886, decode.acc_seg: 92.2459, loss: 0.1886 +2023-03-05 01:44:48,298 - mmseg - INFO - Iter [60400/160000] lr: 1.875e-05, eta: 6:25:38, time: 0.195, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1833, decode.acc_seg: 92.4423, loss: 0.1833 +2023-03-05 01:44:57,939 - mmseg - INFO - Iter [60450/160000] lr: 1.875e-05, eta: 6:25:23, time: 0.193, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1843, decode.acc_seg: 92.4599, loss: 0.1843 +2023-03-05 01:45:07,928 - mmseg - INFO - Iter [60500/160000] lr: 1.875e-05, eta: 6:25:09, time: 0.200, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1878, decode.acc_seg: 92.2942, loss: 0.1878 +2023-03-05 01:45:17,709 - mmseg - INFO - Iter [60550/160000] lr: 1.875e-05, eta: 6:24:54, time: 0.196, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1835, decode.acc_seg: 92.4497, loss: 0.1835 +2023-03-05 01:45:29,957 - mmseg - INFO - Iter [60600/160000] lr: 1.875e-05, eta: 6:24:44, time: 0.245, data_time: 0.056, memory: 52540, decode.loss_ce: 0.1861, decode.acc_seg: 92.3433, loss: 0.1861 +2023-03-05 01:45:39,793 - mmseg - INFO - Iter [60650/160000] lr: 1.875e-05, eta: 6:24:29, time: 0.197, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1875, decode.acc_seg: 92.3735, loss: 0.1875 +2023-03-05 01:45:49,497 - mmseg - INFO - Iter [60700/160000] lr: 1.875e-05, eta: 6:24:14, time: 0.194, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1865, decode.acc_seg: 92.2908, loss: 0.1865 +2023-03-05 01:45:58,981 - mmseg - INFO - Iter [60750/160000] lr: 1.875e-05, eta: 6:23:59, time: 0.190, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1865, decode.acc_seg: 92.3017, loss: 0.1865 +2023-03-05 01:46:08,621 - mmseg - INFO - Iter [60800/160000] lr: 1.875e-05, eta: 6:23:45, time: 0.193, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1856, decode.acc_seg: 92.3043, loss: 0.1856 +2023-03-05 01:46:18,270 - mmseg - INFO - Iter [60850/160000] lr: 1.875e-05, eta: 6:23:30, time: 0.193, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1950, decode.acc_seg: 91.9615, loss: 0.1950 +2023-03-05 01:46:27,920 - mmseg - INFO - Iter [60900/160000] lr: 1.875e-05, eta: 6:23:15, time: 0.193, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1978, decode.acc_seg: 92.0588, loss: 0.1978 +2023-03-05 01:46:37,599 - mmseg - INFO - Iter [60950/160000] lr: 1.875e-05, eta: 6:23:00, time: 0.194, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1848, decode.acc_seg: 92.3454, loss: 0.1848 +2023-03-05 01:46:47,398 - mmseg - INFO - Exp name: ablation_segformer_mit_b2_segformer_head_unet_fc_small_multi_step_ade_pretrained_freeze_embed_160k_ade20k151_mask_finetune_maskonly.py +2023-03-05 01:46:47,398 - mmseg - INFO - Iter [61000/160000] lr: 1.875e-05, eta: 6:22:46, time: 0.196, data_time: 0.008, memory: 52540, decode.loss_ce: 0.1863, decode.acc_seg: 92.2405, loss: 0.1863 +2023-03-05 01:46:57,368 - mmseg - INFO - Iter [61050/160000] lr: 1.875e-05, eta: 6:22:32, time: 0.199, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1913, decode.acc_seg: 92.1963, loss: 0.1913 +2023-03-05 01:47:06,942 - mmseg - INFO - Iter [61100/160000] lr: 1.875e-05, eta: 6:22:17, time: 0.191, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1880, decode.acc_seg: 92.4466, loss: 0.1880 +2023-03-05 01:47:16,562 - mmseg - INFO - Iter [61150/160000] lr: 1.875e-05, eta: 6:22:02, time: 0.192, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1890, decode.acc_seg: 92.3129, loss: 0.1890 +2023-03-05 01:47:26,122 - mmseg - INFO - Iter [61200/160000] lr: 1.875e-05, eta: 6:21:47, time: 0.191, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1923, decode.acc_seg: 92.0074, loss: 0.1923 +2023-03-05 01:47:38,088 - mmseg - INFO - Iter [61250/160000] lr: 1.875e-05, eta: 6:21:36, time: 0.239, data_time: 0.054, memory: 52540, decode.loss_ce: 0.1850, decode.acc_seg: 92.3439, loss: 0.1850 +2023-03-05 01:47:47,825 - mmseg - INFO - Iter [61300/160000] lr: 1.875e-05, eta: 6:21:21, time: 0.195, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1829, decode.acc_seg: 92.4611, loss: 0.1829 +2023-03-05 01:47:57,362 - mmseg - INFO - Iter [61350/160000] lr: 1.875e-05, eta: 6:21:07, time: 0.191, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1977, decode.acc_seg: 92.0824, loss: 0.1977 +2023-03-05 01:48:06,942 - mmseg - INFO - Iter [61400/160000] lr: 1.875e-05, eta: 6:20:52, time: 0.192, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1961, decode.acc_seg: 91.9757, loss: 0.1961 +2023-03-05 01:48:16,603 - mmseg - INFO - Iter [61450/160000] lr: 1.875e-05, eta: 6:20:37, time: 0.193, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1842, decode.acc_seg: 92.2741, loss: 0.1842 +2023-03-05 01:48:26,597 - mmseg - INFO - Iter [61500/160000] lr: 1.875e-05, eta: 6:20:23, time: 0.200, data_time: 0.008, memory: 52540, decode.loss_ce: 0.1833, decode.acc_seg: 92.3894, loss: 0.1833 +2023-03-05 01:48:36,540 - mmseg - INFO - Iter [61550/160000] lr: 1.875e-05, eta: 6:20:09, time: 0.199, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1892, decode.acc_seg: 92.2240, loss: 0.1892 +2023-03-05 01:48:46,087 - mmseg - INFO - Iter [61600/160000] lr: 1.875e-05, eta: 6:19:54, time: 0.191, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1987, decode.acc_seg: 91.9804, loss: 0.1987 +2023-03-05 01:48:55,895 - mmseg - INFO - Iter [61650/160000] lr: 1.875e-05, eta: 6:19:39, time: 0.196, data_time: 0.008, memory: 52540, decode.loss_ce: 0.1856, decode.acc_seg: 92.3391, loss: 0.1856 +2023-03-05 01:49:05,588 - mmseg - INFO - Iter [61700/160000] lr: 1.875e-05, eta: 6:19:25, time: 0.194, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1858, decode.acc_seg: 92.2686, loss: 0.1858 +2023-03-05 01:49:15,375 - mmseg - INFO - Iter [61750/160000] lr: 1.875e-05, eta: 6:19:10, time: 0.196, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1900, decode.acc_seg: 92.1124, loss: 0.1900 +2023-03-05 01:49:24,910 - mmseg - INFO - Iter [61800/160000] lr: 1.875e-05, eta: 6:18:56, time: 0.191, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1905, decode.acc_seg: 92.0420, loss: 0.1905 +2023-03-05 01:49:37,115 - mmseg - INFO - Iter [61850/160000] lr: 1.875e-05, eta: 6:18:45, time: 0.244, data_time: 0.054, memory: 52540, decode.loss_ce: 0.1950, decode.acc_seg: 92.0600, loss: 0.1950 +2023-03-05 01:49:46,757 - mmseg - INFO - Iter [61900/160000] lr: 1.875e-05, eta: 6:18:30, time: 0.193, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1793, decode.acc_seg: 92.5859, loss: 0.1793 +2023-03-05 01:49:56,817 - mmseg - INFO - Iter [61950/160000] lr: 1.875e-05, eta: 6:18:16, time: 0.201, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1947, decode.acc_seg: 92.1078, loss: 0.1947 +2023-03-05 01:50:06,247 - mmseg - INFO - Exp name: ablation_segformer_mit_b2_segformer_head_unet_fc_small_multi_step_ade_pretrained_freeze_embed_160k_ade20k151_mask_finetune_maskonly.py +2023-03-05 01:50:06,247 - mmseg - INFO - Iter [62000/160000] lr: 1.875e-05, eta: 6:18:01, time: 0.189, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1891, decode.acc_seg: 92.2255, loss: 0.1891 +2023-03-05 01:50:15,923 - mmseg - INFO - Iter [62050/160000] lr: 1.875e-05, eta: 6:17:47, time: 0.194, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1960, decode.acc_seg: 91.9417, loss: 0.1960 +2023-03-05 01:50:25,334 - mmseg - INFO - Iter [62100/160000] lr: 1.875e-05, eta: 6:17:32, time: 0.188, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1964, decode.acc_seg: 92.0889, loss: 0.1964 +2023-03-05 01:50:34,833 - mmseg - INFO - Iter [62150/160000] lr: 1.875e-05, eta: 6:17:17, time: 0.190, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1915, decode.acc_seg: 92.0982, loss: 0.1915 +2023-03-05 01:50:44,473 - mmseg - INFO - Iter [62200/160000] lr: 1.875e-05, eta: 6:17:02, time: 0.193, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1868, decode.acc_seg: 92.2395, loss: 0.1868 +2023-03-05 01:50:54,194 - mmseg - INFO - Iter [62250/160000] lr: 1.875e-05, eta: 6:16:48, time: 0.195, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1922, decode.acc_seg: 92.0790, loss: 0.1922 +2023-03-05 01:51:04,098 - mmseg - INFO - Iter [62300/160000] lr: 1.875e-05, eta: 6:16:34, time: 0.198, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1978, decode.acc_seg: 91.9158, loss: 0.1978 +2023-03-05 01:51:13,656 - mmseg - INFO - Iter [62350/160000] lr: 1.875e-05, eta: 6:16:19, time: 0.191, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1920, decode.acc_seg: 92.1891, loss: 0.1920 +2023-03-05 01:51:23,048 - mmseg - INFO - Iter [62400/160000] lr: 1.875e-05, eta: 6:16:04, time: 0.188, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1849, decode.acc_seg: 92.3998, loss: 0.1849 +2023-03-05 01:51:32,513 - mmseg - INFO - Iter [62450/160000] lr: 1.875e-05, eta: 6:15:49, time: 0.189, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1862, decode.acc_seg: 92.1693, loss: 0.1862 +2023-03-05 01:51:44,877 - mmseg - INFO - Iter [62500/160000] lr: 1.875e-05, eta: 6:15:39, time: 0.247, data_time: 0.055, memory: 52540, decode.loss_ce: 0.1927, decode.acc_seg: 92.1792, loss: 0.1927 +2023-03-05 01:51:54,590 - mmseg - INFO - Iter [62550/160000] lr: 1.875e-05, eta: 6:15:25, time: 0.194, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1933, decode.acc_seg: 92.1891, loss: 0.1933 +2023-03-05 01:52:04,124 - mmseg - INFO - Iter [62600/160000] lr: 1.875e-05, eta: 6:15:10, time: 0.191, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1877, decode.acc_seg: 92.2474, loss: 0.1877 +2023-03-05 01:52:13,668 - mmseg - INFO - Iter [62650/160000] lr: 1.875e-05, eta: 6:14:55, time: 0.191, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1851, decode.acc_seg: 92.4124, loss: 0.1851 +2023-03-05 01:52:23,152 - mmseg - INFO - Iter [62700/160000] lr: 1.875e-05, eta: 6:14:40, time: 0.190, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1967, decode.acc_seg: 92.1805, loss: 0.1967 +2023-03-05 01:52:33,142 - mmseg - INFO - Iter [62750/160000] lr: 1.875e-05, eta: 6:14:26, time: 0.200, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1818, decode.acc_seg: 92.3792, loss: 0.1818 +2023-03-05 01:52:42,807 - mmseg - INFO - Iter [62800/160000] lr: 1.875e-05, eta: 6:14:12, time: 0.193, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1864, decode.acc_seg: 92.2836, loss: 0.1864 +2023-03-05 01:52:52,521 - mmseg - INFO - Iter [62850/160000] lr: 1.875e-05, eta: 6:13:58, time: 0.194, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1896, decode.acc_seg: 92.1136, loss: 0.1896 +2023-03-05 01:53:02,122 - mmseg - INFO - Iter [62900/160000] lr: 1.875e-05, eta: 6:13:43, time: 0.192, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1869, decode.acc_seg: 92.4553, loss: 0.1869 +2023-03-05 01:53:11,558 - mmseg - INFO - Iter [62950/160000] lr: 1.875e-05, eta: 6:13:28, time: 0.189, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1872, decode.acc_seg: 92.2221, loss: 0.1872 +2023-03-05 01:53:21,021 - mmseg - INFO - Exp name: ablation_segformer_mit_b2_segformer_head_unet_fc_small_multi_step_ade_pretrained_freeze_embed_160k_ade20k151_mask_finetune_maskonly.py +2023-03-05 01:53:21,021 - mmseg - INFO - Iter [63000/160000] lr: 1.875e-05, eta: 6:13:13, time: 0.189, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1910, decode.acc_seg: 92.2172, loss: 0.1910 +2023-03-05 01:53:30,976 - mmseg - INFO - Iter [63050/160000] lr: 1.875e-05, eta: 6:12:59, time: 0.199, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1788, decode.acc_seg: 92.5409, loss: 0.1788 +2023-03-05 01:53:40,548 - mmseg - INFO - Iter [63100/160000] lr: 1.875e-05, eta: 6:12:45, time: 0.191, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1852, decode.acc_seg: 92.3896, loss: 0.1852 +2023-03-05 01:53:52,806 - mmseg - INFO - Iter [63150/160000] lr: 1.875e-05, eta: 6:12:34, time: 0.245, data_time: 0.055, memory: 52540, decode.loss_ce: 0.1946, decode.acc_seg: 92.1434, loss: 0.1946 +2023-03-05 01:54:02,349 - mmseg - INFO - Iter [63200/160000] lr: 1.875e-05, eta: 6:12:20, time: 0.191, data_time: 0.008, memory: 52540, decode.loss_ce: 0.1872, decode.acc_seg: 92.4059, loss: 0.1872 +2023-03-05 01:54:11,987 - mmseg - INFO - Iter [63250/160000] lr: 1.875e-05, eta: 6:12:05, time: 0.193, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1819, decode.acc_seg: 92.4824, loss: 0.1819 +2023-03-05 01:54:21,557 - mmseg - INFO - Iter [63300/160000] lr: 1.875e-05, eta: 6:11:51, time: 0.191, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1881, decode.acc_seg: 92.3567, loss: 0.1881 +2023-03-05 01:54:31,316 - mmseg - INFO - Iter [63350/160000] lr: 1.875e-05, eta: 6:11:37, time: 0.195, data_time: 0.008, memory: 52540, decode.loss_ce: 0.1859, decode.acc_seg: 92.4162, loss: 0.1859 +2023-03-05 01:54:40,847 - mmseg - INFO - Iter [63400/160000] lr: 1.875e-05, eta: 6:11:22, time: 0.191, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1880, decode.acc_seg: 92.2661, loss: 0.1880 +2023-03-05 01:54:50,352 - mmseg - INFO - Iter [63450/160000] lr: 1.875e-05, eta: 6:11:07, time: 0.190, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1809, decode.acc_seg: 92.4526, loss: 0.1809 +2023-03-05 01:54:59,865 - mmseg - INFO - Iter [63500/160000] lr: 1.875e-05, eta: 6:10:53, time: 0.190, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1895, decode.acc_seg: 92.2245, loss: 0.1895 +2023-03-05 01:55:09,402 - mmseg - INFO - Iter [63550/160000] lr: 1.875e-05, eta: 6:10:38, time: 0.191, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1872, decode.acc_seg: 92.2920, loss: 0.1872 +2023-03-05 01:55:18,983 - mmseg - INFO - Iter [63600/160000] lr: 1.875e-05, eta: 6:10:24, time: 0.192, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1874, decode.acc_seg: 92.2990, loss: 0.1874 +2023-03-05 01:55:28,463 - mmseg - INFO - Iter [63650/160000] lr: 1.875e-05, eta: 6:10:09, time: 0.190, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1855, decode.acc_seg: 92.3043, loss: 0.1855 +2023-03-05 01:55:38,050 - mmseg - INFO - Iter [63700/160000] lr: 1.875e-05, eta: 6:09:55, time: 0.192, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1905, decode.acc_seg: 92.1117, loss: 0.1905 +2023-03-05 01:55:50,237 - mmseg - INFO - Iter [63750/160000] lr: 1.875e-05, eta: 6:09:44, time: 0.244, data_time: 0.053, memory: 52540, decode.loss_ce: 0.1842, decode.acc_seg: 92.3555, loss: 0.1842 +2023-03-05 01:55:59,847 - mmseg - INFO - Iter [63800/160000] lr: 1.875e-05, eta: 6:09:30, time: 0.192, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1881, decode.acc_seg: 92.0224, loss: 0.1881 +2023-03-05 01:56:09,393 - mmseg - INFO - Iter [63850/160000] lr: 1.875e-05, eta: 6:09:15, time: 0.191, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1802, decode.acc_seg: 92.6443, loss: 0.1802 +2023-03-05 01:56:18,933 - mmseg - INFO - Iter [63900/160000] lr: 1.875e-05, eta: 6:09:01, time: 0.191, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1815, decode.acc_seg: 92.3686, loss: 0.1815 +2023-03-05 01:56:28,408 - mmseg - INFO - Iter [63950/160000] lr: 1.875e-05, eta: 6:08:46, time: 0.189, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1867, decode.acc_seg: 92.3064, loss: 0.1867 +2023-03-05 01:56:38,026 - mmseg - INFO - Swap parameters (after train) after iter [64000] +2023-03-05 01:56:38,039 - mmseg - INFO - Saving checkpoint at 64000 iterations +2023-03-05 01:56:39,137 - mmseg - INFO - Exp name: ablation_segformer_mit_b2_segformer_head_unet_fc_small_multi_step_ade_pretrained_freeze_embed_160k_ade20k151_mask_finetune_maskonly.py +2023-03-05 01:56:39,137 - mmseg - INFO - Iter [64000/160000] lr: 1.875e-05, eta: 6:08:33, time: 0.215, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1882, decode.acc_seg: 92.2843, loss: 0.1882 +2023-03-05 02:07:35,984 - mmseg - INFO - per class results: +2023-03-05 02:07:35,993 - mmseg - INFO - ++---------------------+-------------------------------------------------------------------+ +| Class | IoU 0,10,20,30,40,50,60,70,80,90,99 | ++---------------------+-------------------------------------------------------------------+ +| background | nan,nan,nan,nan,nan,nan,nan,nan,nan,nan,nan | +| wall | 77.26,77.46,77.48,77.48,77.47,77.47,77.47,77.47,77.47,77.48,77.48 | +| building | 81.61,81.75,81.76,81.76,81.76,81.76,81.76,81.76,81.76,81.76,81.77 | +| sky | 94.45,94.49,94.49,94.49,94.49,94.49,94.49,94.49,94.49,94.49,94.5 | +| floor | 81.75,81.76,81.76,81.76,81.76,81.76,81.76,81.76,81.76,81.77,81.77 | +| tree | 73.92,74.09,74.1,74.08,74.09,74.09,74.09,74.08,74.08,74.09,74.11 | +| ceiling | 85.13,85.35,85.35,85.36,85.36,85.36,85.35,85.35,85.36,85.36,85.39 | +| road | 81.96,81.97,81.96,81.95,81.88,81.9,81.9,81.89,81.89,81.89,81.92 | +| bed | 87.36,87.58,87.6,87.6,87.6,87.61,87.6,87.59,87.6,87.6,87.58 | +| windowpane | 60.48,60.71,60.73,60.73,60.74,60.74,60.74,60.74,60.76,60.76,60.77 | +| grass | 66.88,67.27,67.28,67.27,67.28,67.28,67.28,67.29,67.28,67.29,67.3 | +| cabinet | 59.9,60.5,60.57,60.53,60.57,60.61,60.59,60.62,60.61,60.61,60.59 | +| sidewalk | 64.0,64.12,64.14,64.17,64.16,64.17,64.18,64.18,64.17,64.19,64.16 | +| person | 79.62,79.75,79.75,79.75,79.75,79.77,79.77,79.75,79.76,79.75,79.75 | +| earth | 36.29,35.94,35.86,35.78,35.62,35.64,35.65,35.66,35.66,35.68,35.67 | +| door | 45.99,46.26,46.19,46.23,46.24,46.22,46.22,46.25,46.2,46.21,46.22 | +| table | 60.97,61.18,61.12,61.11,61.09,61.09,61.09,61.1,61.09,61.09,61.04 | +| mountain | 56.58,57.41,57.4,57.41,57.42,57.43,57.43,57.44,57.45,57.45,57.48 | +| plant | 49.95,50.1,50.15,50.15,50.16,50.17,50.18,50.2,50.19,50.21,50.27 | +| curtain | 73.72,74.34,74.45,74.48,74.47,74.46,74.46,74.47,74.46,74.46,74.58 | +| chair | 56.14,56.42,56.39,56.4,56.41,56.41,56.41,56.38,56.43,56.43,56.42 | +| car | 82.29,82.5,82.5,82.52,82.52,82.52,82.51,82.51,82.51,82.51,82.49 | +| water | 57.83,57.79,57.82,57.83,57.83,57.87,57.89,57.87,57.85,57.84,57.75 | +| painting | 70.29,69.77,69.72,69.71,69.68,69.68,69.69,69.69,69.68,69.69,69.66 | +| sofa | 64.07,64.57,64.64,64.68,64.65,64.64,64.65,64.67,64.65,64.66,64.71 | +| shelf | 44.28,44.4,44.46,44.46,44.46,44.47,44.47,44.47,44.47,44.47,44.45 | +| house | 41.91,43.2,43.22,43.21,43.22,43.23,43.25,43.21,43.19,43.2,43.34 | +| sea | 60.27,60.62,60.62,60.63,60.63,60.62,60.63,60.63,60.62,60.62,60.56 | +| mirror | 65.58,66.08,66.08,66.09,66.07,66.08,66.08,66.09,66.09,66.09,66.21 | +| rug | 64.68,65.26,65.28,65.25,65.28,65.3,65.3,65.29,65.3,65.3,65.19 | +| field | 30.76,30.6,30.58,30.59,30.59,30.59,30.6,30.6,30.61,30.61,30.6 | +| armchair | 37.47,37.83,37.96,38.02,38.04,38.04,38.05,38.06,38.07,38.07,38.01 | +| seat | 65.86,66.45,66.47,66.48,66.48,66.53,66.59,66.54,66.57,66.58,66.48 | +| fence | 41.29,40.73,40.77,40.8,40.8,40.8,40.79,40.77,40.77,40.78,40.83 | +| desk | 46.93,47.05,47.04,47.06,47.04,47.03,47.04,47.04,47.03,47.02,47.0 | +| rock | 37.39,37.51,37.47,37.43,37.43,37.44,37.43,37.42,37.44,37.43,37.57 | +| wardrobe | 56.84,57.49,57.52,57.45,57.48,57.47,57.48,57.47,57.5,57.5,57.51 | +| lamp | 61.66,62.16,62.2,62.23,62.2,62.17,62.13,62.1,62.13,62.11,62.28 | +| bathtub | 76.12,76.71,76.44,76.4,76.44,76.48,76.46,76.51,76.49,76.49,76.59 | +| railing | 32.99,33.21,33.2,33.19,33.19,33.24,33.25,33.31,33.34,33.3,33.28 | +| cushion | 56.93,57.18,57.14,57.14,57.12,57.09,57.06,57.06,57.04,57.06,57.2 | +| base | 19.28,21.34,21.25,21.31,21.28,21.39,21.35,21.3,21.29,21.28,21.33 | +| box | 23.89,24.54,24.6,24.62,24.6,24.61,24.63,24.6,24.62,24.59,24.5 | +| column | 46.74,47.47,47.55,47.58,47.59,47.59,47.57,47.56,47.57,47.57,47.42 | +| signboard | 37.86,37.92,37.95,37.96,37.96,37.97,37.97,37.93,37.97,37.96,38.03 | +| chest of drawers | 36.14,36.84,37.07,37.06,37.11,37.24,37.23,37.25,37.24,37.19,36.94 | +| counter | 31.23,31.52,31.49,31.6,31.57,31.56,31.58,31.51,31.54,31.53,31.53 | +| sand | 42.99,43.36,43.33,43.37,43.26,43.44,43.46,43.38,43.43,43.41,43.6 | +| sink | 67.78,68.31,68.33,68.33,68.34,68.36,68.37,68.37,68.35,68.36,68.08 | +| skyscraper | 50.22,48.92,48.9,48.87,48.82,48.85,48.82,48.87,48.82,48.84,48.81 | +| fireplace | 74.65,75.29,75.31,75.13,75.01,74.88,74.86,74.93,74.89,74.85,74.92 | +| refrigerator | 74.77,75.71,75.84,75.75,75.77,75.6,75.53,75.57,75.57,75.63,75.36 | +| grandstand | 51.99,52.97,52.82,52.82,52.8,52.81,52.84,52.79,52.78,52.81,53.04 | +| path | 21.75,21.91,21.93,21.96,21.98,21.98,21.98,21.96,21.98,21.98,21.97 | +| stairs | 32.39,30.91,30.87,30.86,30.86,30.84,30.85,30.86,30.85,30.85,30.93 | +| runway | 67.99,68.31,68.36,68.37,68.36,68.38,68.38,68.38,68.38,68.38,68.39 | +| case | 47.83,48.32,48.26,48.25,48.24,48.27,48.26,48.22,48.2,48.21,48.2 | +| pool table | 91.65,91.75,91.78,91.8,91.79,91.8,91.77,91.76,91.78,91.78,91.78 | +| pillow | 59.94,62.99,63.03,63.06,63.05,63.04,63.03,62.97,62.98,63.01,63.05 | +| screen door | 68.2,69.38,69.12,69.14,69.21,69.17,69.16,69.28,69.18,69.23,69.38 | +| stairway | 22.68,22.32,22.14,22.11,22.1,22.09,22.08,22.11,22.1,22.12,22.07 | +| river | 12.27,12.13,12.12,12.14,12.15,12.15,12.14,12.12,12.12,12.11,12.15 | +| bridge | 32.12,32.25,32.13,32.23,32.21,32.25,32.21,32.22,32.21,32.21,32.18 | +| bookcase | 46.6,46.81,46.82,46.82,46.83,46.79,46.81,46.8,46.84,46.78,46.92 | +| blind | 39.8,40.59,40.56,40.5,40.53,40.53,40.57,40.58,40.67,40.69,40.53 | +| coffee table | 53.64,52.81,52.71,52.68,52.73,52.68,52.7,52.71,52.7,52.7,52.64 | +| toilet | 83.44,83.37,83.41,83.41,83.4,83.42,83.42,83.41,83.42,83.42,83.44 | +| flower | 38.62,38.9,38.91,38.94,38.95,38.95,38.96,38.99,38.93,38.97,38.97 | +| book | 45.53,45.45,45.43,45.42,45.42,45.41,45.4,45.4,45.39,45.39,45.4 | +| hill | 16.14,16.57,16.45,16.39,16.36,16.38,16.37,16.33,16.35,16.35,16.31 | +| bench | 43.01,42.59,42.61,42.6,42.63,42.66,42.64,42.68,42.65,42.66,42.46 | +| countertop | 54.27,53.78,53.79,53.82,53.8,53.82,53.83,53.79,53.78,53.75,53.64 | +| stove | 71.15,70.69,70.64,70.62,70.64,70.7,70.71,70.69,70.7,70.65,70.78 | +| palm | 47.46,47.35,47.37,47.37,47.36,47.35,47.35,47.36,47.36,47.35,47.33 | +| kitchen island | 40.72,43.42,43.43,43.27,43.36,43.39,43.34,43.49,43.35,43.35,43.84 | +| computer | 59.64,59.7,59.76,59.72,59.72,59.76,59.73,59.71,59.72,59.74,59.72 | +| swivel chair | 43.46,44.32,44.26,44.28,44.31,44.31,44.32,44.27,44.32,44.34,44.54 | +| boat | 69.11,70.14,70.15,70.09,70.2,70.12,70.16,70.21,70.17,70.17,70.26 | +| bar | 23.96,24.57,24.58,24.59,24.61,24.61,24.58,24.61,24.61,24.6,24.5 | +| arcade machine | 68.3,71.31,71.49,71.53,71.51,71.52,71.45,71.47,71.4,71.42,71.48 | +| hovel | 35.34,32.52,32.28,32.22,32.21,32.27,32.2,32.19,32.08,32.12,32.4 | +| bus | 78.3,79.22,79.26,79.22,79.24,79.22,79.2,79.23,79.26,79.24,79.44 | +| towel | 62.45,63.02,63.24,63.24,63.27,63.32,63.28,63.29,63.22,63.26,62.84 | +| light | 55.58,56.14,55.94,56.11,56.05,56.02,56.06,56.02,56.07,56.1,56.09 | +| truck | 17.73,18.72,18.78,19.01,18.92,18.92,18.89,19.04,18.92,18.89,18.84 | +| tower | 6.23,6.99,6.92,6.96,6.94,6.95,6.92,6.93,6.93,6.93,6.82 | +| chandelier | 64.72,66.25,66.43,66.45,66.52,66.51,66.5,66.48,66.48,66.47,66.5 | +| awning | 22.59,24.28,24.31,24.23,24.26,24.29,24.34,24.31,24.34,24.34,24.48 | +| streetlight | 26.99,27.34,27.41,27.59,27.54,27.49,27.51,27.53,27.53,27.53,27.69 | +| booth | 42.68,43.64,43.59,43.64,43.62,43.65,43.65,43.64,43.65,43.65,43.71 | +| television receiver | 65.05,65.04,65.06,65.04,65.07,65.06,65.02,65.05,65.07,65.06,65.09 | +| airplane | 57.79,58.51,58.52,58.58,58.55,58.54,58.55,58.55,58.57,58.55,58.54 | +| dirt track | 17.93,20.66,20.84,20.82,20.81,20.82,20.83,20.84,20.8,20.85,20.68 | +| apparel | 34.8,35.45,35.4,35.41,35.47,35.38,35.39,35.48,35.46,35.46,34.74 | +| pole | 18.2,18.26,18.52,18.54,18.38,18.44,18.38,18.39,18.56,18.39,18.59 | +| land | 4.51,4.43,4.33,4.4,4.34,4.35,4.35,4.38,4.38,4.38,4.33 | +| bannister | 12.1,12.09,11.94,11.92,11.91,11.9,11.91,11.89,11.93,11.91,11.94 | +| escalator | 24.45,24.89,24.89,24.9,24.88,24.91,24.87,24.87,24.89,24.88,24.9 | +| ottoman | 40.23,39.85,39.78,39.77,39.81,39.85,39.7,39.71,39.79,39.76,39.97 | +| bottle | 35.08,35.93,36.0,35.96,35.97,36.04,36.03,36.01,36.02,36.01,35.91 | +| buffet | 39.65,41.46,41.59,41.56,41.59,41.57,41.55,41.54,41.56,41.54,41.75 | +| poster | 23.04,22.56,22.54,22.5,22.48,22.46,22.47,22.49,22.48,22.52,22.38 | +| stage | 13.87,14.18,14.2,14.18,14.18,14.19,14.19,14.2,14.19,14.2,14.18 | +| van | 38.04,38.77,38.95,38.93,38.93,38.92,38.9,38.86,38.95,38.91,38.8 | +| ship | 77.82,76.95,77.12,77.07,77.06,77.04,77.1,77.08,77.1,77.09,77.1 | +| fountain | 17.13,19.96,21.14,21.17,21.17,21.21,21.16,21.17,21.19,21.17,21.35 | +| conveyer belt | 85.52,85.44,85.56,85.42,85.46,85.41,85.55,85.54,85.55,85.56,85.2 | +| canopy | 26.49,25.86,25.59,25.82,25.7,25.62,25.92,25.97,25.68,25.81,25.75 | +| washer | 79.31,78.7,78.7,78.7,78.69,78.71,78.68,78.69,78.73,78.7,78.41 | +| plaything | 20.85,20.9,20.87,20.88,20.92,20.86,20.88,20.89,20.89,20.89,20.87 | +| swimming pool | 74.92,76.62,76.67,76.69,76.75,76.67,76.75,76.68,76.71,76.77,76.65 | +| stool | 43.6,44.67,44.84,44.82,44.86,44.87,44.85,44.93,44.92,44.88,44.94 | +| barrel | 42.92,42.48,42.61,42.66,42.57,42.65,42.51,42.5,42.47,42.54,48.0 | +| basket | 24.85,25.0,25.02,25.03,25.0,25.01,25.04,25.02,24.99,25.01,25.26 | +| waterfall | 50.33,49.79,49.76,49.78,49.77,49.8,49.77,49.79,49.75,49.78,49.85 | +| tent | 95.16,94.95,94.95,94.98,94.98,94.96,94.97,95.0,95.0,94.98,94.94 | +| bag | 15.45,15.45,15.42,15.45,15.44,15.47,15.47,15.42,15.41,15.44,15.4 | +| minibike | 62.53,62.7,62.69,62.68,62.68,62.66,62.66,62.66,62.65,62.67,62.64 | +| cradle | 85.14,85.6,85.59,85.59,85.57,85.61,85.61,85.61,85.62,85.64,85.66 | +| oven | 45.53,46.49,46.47,46.42,46.35,46.42,46.42,46.49,46.45,46.47,46.4 | +| ball | 41.34,43.79,43.74,43.88,43.91,43.84,43.9,44.02,43.94,44.06,44.03 | +| food | 52.25,53.01,53.0,53.07,53.11,53.02,53.07,53.07,53.07,53.07,52.99 | +| step | 5.37,6.02,6.06,6.0,6.01,6.05,5.98,5.99,5.94,5.97,5.9 | +| tank | 51.02,50.67,50.61,50.56,50.46,50.73,50.8,50.86,50.71,50.51,50.69 | +| trade name | 28.6,28.94,28.91,28.73,28.71,28.78,28.68,28.69,28.62,28.66,28.6 | +| microwave | 71.17,72.2,72.19,72.11,72.05,72.04,72.07,72.01,71.99,72.02,72.15 | +| pot | 31.51,31.31,31.34,31.37,31.41,31.38,31.43,31.39,31.37,31.34,31.35 | +| animal | 54.08,54.99,55.0,55.06,55.0,55.03,55.13,55.06,55.07,55.05,55.02 | +| bicycle | 53.87,54.32,54.4,54.37,54.42,54.59,54.7,54.75,54.8,54.76,54.54 | +| lake | 58.16,57.85,57.84,57.84,57.84,57.84,57.85,57.84,57.83,57.83,57.87 | +| dishwasher | 67.31,67.31,66.42,66.45,66.52,66.47,66.44,66.55,66.52,66.5,66.13 | +| screen | 66.5,65.77,65.6,65.6,65.65,65.64,65.55,65.52,65.72,65.57,65.85 | +| blanket | 19.42,20.46,20.46,20.54,20.4,20.5,20.51,20.51,20.48,20.53,20.59 | +| sculpture | 56.95,56.6,56.67,56.54,56.56,56.61,56.53,56.65,56.69,56.53,56.55 | +| hood | 59.76,60.73,60.82,60.65,60.79,60.72,60.71,60.72,60.75,60.73,60.76 | +| sconce | 43.07,43.46,43.32,43.34,43.36,43.39,43.3,43.3,43.33,43.32,43.25 | +| vase | 37.2,38.46,38.48,38.52,38.51,38.52,38.4,38.41,38.42,38.44,38.48 | +| traffic light | 33.6,33.77,33.85,33.46,33.36,33.37,33.37,33.4,33.43,33.43,33.17 | +| tray | 9.02,8.85,8.71,8.74,8.66,8.64,8.54,8.51,8.57,8.59,8.69 | +| ashcan | 41.27,41.04,41.09,40.98,41.01,41.03,40.98,41.1,41.03,40.99,41.18 | +| fan | 57.94,58.49,58.42,58.47,58.35,58.29,58.28,58.27,58.35,58.32,58.43 | +| pier | 51.52,49.23,48.69,49.66,50.08,49.84,49.77,48.85,48.65,49.02,49.16 | +| crt screen | 8.98,10.16,10.25,10.22,10.19,10.22,10.26,10.31,10.31,10.27,10.01 | +| plate | 52.41,52.99,52.9,52.89,52.98,53.01,52.99,53.0,52.97,53.02,52.98 | +| monitor | 29.28,26.3,26.71,26.91,26.99,27.03,26.9,26.99,27.26,27.28,26.56 | +| bulletin board | 36.98,37.47,37.43,37.5,37.48,37.47,37.56,37.62,37.65,37.62,37.32 | +| shower | 1.53,1.6,1.59,1.6,1.59,1.59,1.6,1.59,1.6,1.6,1.59 | +| radiator | 63.5,65.46,65.48,65.42,65.49,65.49,65.5,65.39,65.39,65.47,66.05 | +| glass | 14.13,13.46,13.4,13.45,13.39,13.38,13.43,13.44,13.39,13.43,13.36 | +| clock | 36.4,36.07,36.06,36.02,36.03,36.06,36.01,36.05,36.04,36.05,36.28 | +| flag | 37.12,36.66,36.61,36.6,36.62,36.59,36.57,36.6,36.56,36.64,36.61 | ++---------------------+-------------------------------------------------------------------+ +2023-03-05 02:07:35,993 - mmseg - INFO - Summary: +2023-03-05 02:07:35,993 - mmseg - INFO - ++------------------------------------------------------------------+ +| mIoU 0,10,20,30,40,50,60,70,80,90,99 | ++------------------------------------------------------------------+ +| 48.57,48.9,48.91,48.91,48.91,48.92,48.91,48.91,48.91,48.91,48.95 | ++------------------------------------------------------------------+ +2023-03-05 02:07:36,027 - mmseg - INFO - The previous best checkpoint /mnt/petrelfs/laizeqiang/mmseg-baseline/work_dirs2/ablation_segformer_mit_b2_segformer_head_unet_fc_small_multi_step_ade_pretrained_freeze_embed_160k_ade20k151_mask_finetune_maskonly/best_mIoU_iter_48000.pth was removed +2023-03-05 02:07:37,008 - mmseg - INFO - Now best checkpoint is saved as best_mIoU_iter_64000.pth. +2023-03-05 02:07:37,008 - mmseg - INFO - Best mIoU is 0.4895 at 64000 iter. +2023-03-05 02:07:37,008 - mmseg - INFO - Exp name: ablation_segformer_mit_b2_segformer_head_unet_fc_small_multi_step_ade_pretrained_freeze_embed_160k_ade20k151_mask_finetune_maskonly.py +2023-03-05 02:07:37,009 - mmseg - INFO - Iter(val) [250] mIoU: [0.4857, 0.489, 0.4891, 0.4891, 0.4891, 0.4892, 0.4891, 0.4891, 0.4891, 0.4891, 0.4895], copy_paste: 48.57,48.9,48.91,48.91,48.91,48.92,48.91,48.91,48.91,48.91,48.95 +2023-03-05 02:07:37,015 - mmseg - INFO - Swap parameters (before train) before iter [64001] +2023-03-05 02:07:46,996 - mmseg - INFO - Iter [64050/160000] lr: 1.875e-05, eta: 6:24:45, time: 13.357, data_time: 13.166, memory: 52540, decode.loss_ce: 0.1838, decode.acc_seg: 92.4789, loss: 0.1838 +2023-03-05 02:07:57,186 - mmseg - INFO - Iter [64100/160000] lr: 1.875e-05, eta: 6:24:30, time: 0.204, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1911, decode.acc_seg: 92.2133, loss: 0.1911 +2023-03-05 02:08:07,116 - mmseg - INFO - Iter [64150/160000] lr: 1.875e-05, eta: 6:24:15, time: 0.198, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1872, decode.acc_seg: 92.3447, loss: 0.1872 +2023-03-05 02:08:16,717 - mmseg - INFO - Iter [64200/160000] lr: 1.875e-05, eta: 6:24:00, time: 0.192, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1961, decode.acc_seg: 92.0600, loss: 0.1961 +2023-03-05 02:08:26,294 - mmseg - INFO - Iter [64250/160000] lr: 1.875e-05, eta: 6:23:44, time: 0.192, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1847, decode.acc_seg: 92.4168, loss: 0.1847 +2023-03-05 02:08:36,156 - mmseg - INFO - Iter [64300/160000] lr: 1.875e-05, eta: 6:23:29, time: 0.197, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1899, decode.acc_seg: 92.2691, loss: 0.1899 +2023-03-05 02:08:45,721 - mmseg - INFO - Iter [64350/160000] lr: 1.875e-05, eta: 6:23:13, time: 0.191, data_time: 0.008, memory: 52540, decode.loss_ce: 0.1917, decode.acc_seg: 92.1350, loss: 0.1917 +2023-03-05 02:08:57,731 - mmseg - INFO - Iter [64400/160000] lr: 1.875e-05, eta: 6:23:01, time: 0.240, data_time: 0.055, memory: 52540, decode.loss_ce: 0.1913, decode.acc_seg: 92.1776, loss: 0.1913 +2023-03-05 02:09:07,270 - mmseg - INFO - Iter [64450/160000] lr: 1.875e-05, eta: 6:22:45, time: 0.191, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1859, decode.acc_seg: 92.3459, loss: 0.1859 +2023-03-05 02:09:16,720 - mmseg - INFO - Iter [64500/160000] lr: 1.875e-05, eta: 6:22:29, time: 0.189, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1846, decode.acc_seg: 92.4193, loss: 0.1846 +2023-03-05 02:09:26,258 - mmseg - INFO - Iter [64550/160000] lr: 1.875e-05, eta: 6:22:14, time: 0.191, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1924, decode.acc_seg: 92.1927, loss: 0.1924 +2023-03-05 02:09:35,881 - mmseg - INFO - Iter [64600/160000] lr: 1.875e-05, eta: 6:21:58, time: 0.192, data_time: 0.008, memory: 52540, decode.loss_ce: 0.1883, decode.acc_seg: 92.2990, loss: 0.1883 +2023-03-05 02:09:45,535 - mmseg - INFO - Iter [64650/160000] lr: 1.875e-05, eta: 6:21:43, time: 0.193, data_time: 0.008, memory: 52540, decode.loss_ce: 0.1900, decode.acc_seg: 92.2461, loss: 0.1900 +2023-03-05 02:09:55,450 - mmseg - INFO - Iter [64700/160000] lr: 1.875e-05, eta: 6:21:28, time: 0.198, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1872, decode.acc_seg: 92.1858, loss: 0.1872 +2023-03-05 02:10:05,365 - mmseg - INFO - Iter [64750/160000] lr: 1.875e-05, eta: 6:21:13, time: 0.198, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1854, decode.acc_seg: 92.4106, loss: 0.1854 +2023-03-05 02:10:15,063 - mmseg - INFO - Iter [64800/160000] lr: 1.875e-05, eta: 6:20:57, time: 0.194, data_time: 0.008, memory: 52540, decode.loss_ce: 0.1860, decode.acc_seg: 92.4113, loss: 0.1860 +2023-03-05 02:10:24,666 - mmseg - INFO - Iter [64850/160000] lr: 1.875e-05, eta: 6:20:42, time: 0.192, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1887, decode.acc_seg: 92.1690, loss: 0.1887 +2023-03-05 02:10:34,141 - mmseg - INFO - Iter [64900/160000] lr: 1.875e-05, eta: 6:20:26, time: 0.189, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1903, decode.acc_seg: 92.1606, loss: 0.1903 +2023-03-05 02:10:43,601 - mmseg - INFO - Iter [64950/160000] lr: 1.875e-05, eta: 6:20:10, time: 0.189, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1828, decode.acc_seg: 92.6181, loss: 0.1828 +2023-03-05 02:10:55,945 - mmseg - INFO - Exp name: ablation_segformer_mit_b2_segformer_head_unet_fc_small_multi_step_ade_pretrained_freeze_embed_160k_ade20k151_mask_finetune_maskonly.py +2023-03-05 02:10:55,945 - mmseg - INFO - Iter [65000/160000] lr: 1.875e-05, eta: 6:19:59, time: 0.247, data_time: 0.055, memory: 52540, decode.loss_ce: 0.1906, decode.acc_seg: 92.0738, loss: 0.1906 +2023-03-05 02:11:05,775 - mmseg - INFO - Iter [65050/160000] lr: 1.875e-05, eta: 6:19:44, time: 0.197, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1914, decode.acc_seg: 92.3599, loss: 0.1914 +2023-03-05 02:11:15,674 - mmseg - INFO - Iter [65100/160000] lr: 1.875e-05, eta: 6:19:28, time: 0.198, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1820, decode.acc_seg: 92.4656, loss: 0.1820 +2023-03-05 02:11:25,220 - mmseg - INFO - Iter [65150/160000] lr: 1.875e-05, eta: 6:19:13, time: 0.191, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1817, decode.acc_seg: 92.5511, loss: 0.1817 +2023-03-05 02:11:35,002 - mmseg - INFO - Iter [65200/160000] lr: 1.875e-05, eta: 6:18:58, time: 0.196, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1859, decode.acc_seg: 92.3931, loss: 0.1859 +2023-03-05 02:11:44,442 - mmseg - INFO - Iter [65250/160000] lr: 1.875e-05, eta: 6:18:42, time: 0.189, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1939, decode.acc_seg: 92.0559, loss: 0.1939 +2023-03-05 02:11:54,159 - mmseg - INFO - Iter [65300/160000] lr: 1.875e-05, eta: 6:18:27, time: 0.195, data_time: 0.008, memory: 52540, decode.loss_ce: 0.1864, decode.acc_seg: 92.2492, loss: 0.1864 +2023-03-05 02:12:03,607 - mmseg - INFO - Iter [65350/160000] lr: 1.875e-05, eta: 6:18:11, time: 0.189, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1882, decode.acc_seg: 92.2222, loss: 0.1882 +2023-03-05 02:12:13,178 - mmseg - INFO - Iter [65400/160000] lr: 1.875e-05, eta: 6:17:56, time: 0.191, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1864, decode.acc_seg: 92.3881, loss: 0.1864 +2023-03-05 02:12:23,135 - mmseg - INFO - Iter [65450/160000] lr: 1.875e-05, eta: 6:17:41, time: 0.199, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1902, decode.acc_seg: 92.2380, loss: 0.1902 +2023-03-05 02:12:32,766 - mmseg - INFO - Iter [65500/160000] lr: 1.875e-05, eta: 6:17:25, time: 0.193, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1877, decode.acc_seg: 92.1928, loss: 0.1877 +2023-03-05 02:12:42,175 - mmseg - INFO - Iter [65550/160000] lr: 1.875e-05, eta: 6:17:10, time: 0.188, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1915, decode.acc_seg: 92.2160, loss: 0.1915 +2023-03-05 02:12:51,857 - mmseg - INFO - Iter [65600/160000] lr: 1.875e-05, eta: 6:16:54, time: 0.193, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1798, decode.acc_seg: 92.5927, loss: 0.1798 +2023-03-05 02:13:04,054 - mmseg - INFO - Iter [65650/160000] lr: 1.875e-05, eta: 6:16:43, time: 0.244, data_time: 0.056, memory: 52540, decode.loss_ce: 0.1910, decode.acc_seg: 92.2025, loss: 0.1910 +2023-03-05 02:13:13,742 - mmseg - INFO - Iter [65700/160000] lr: 1.875e-05, eta: 6:16:27, time: 0.194, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1828, decode.acc_seg: 92.5274, loss: 0.1828 +2023-03-05 02:13:23,350 - mmseg - INFO - Iter [65750/160000] lr: 1.875e-05, eta: 6:16:12, time: 0.192, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1910, decode.acc_seg: 92.2400, loss: 0.1910 +2023-03-05 02:13:32,794 - mmseg - INFO - Iter [65800/160000] lr: 1.875e-05, eta: 6:15:56, time: 0.189, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1889, decode.acc_seg: 92.3220, loss: 0.1889 +2023-03-05 02:13:42,321 - mmseg - INFO - Iter [65850/160000] lr: 1.875e-05, eta: 6:15:41, time: 0.191, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1955, decode.acc_seg: 92.0874, loss: 0.1955 +2023-03-05 02:13:51,871 - mmseg - INFO - Iter [65900/160000] lr: 1.875e-05, eta: 6:15:25, time: 0.191, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1860, decode.acc_seg: 92.2832, loss: 0.1860 +2023-03-05 02:14:01,575 - mmseg - INFO - Iter [65950/160000] lr: 1.875e-05, eta: 6:15:10, time: 0.194, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1977, decode.acc_seg: 91.9201, loss: 0.1977 +2023-03-05 02:14:11,124 - mmseg - INFO - Exp name: ablation_segformer_mit_b2_segformer_head_unet_fc_small_multi_step_ade_pretrained_freeze_embed_160k_ade20k151_mask_finetune_maskonly.py +2023-03-05 02:14:11,124 - mmseg - INFO - Iter [66000/160000] lr: 1.875e-05, eta: 6:14:55, time: 0.191, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1901, decode.acc_seg: 92.2016, loss: 0.1901 +2023-03-05 02:14:20,681 - mmseg - INFO - Iter [66050/160000] lr: 1.875e-05, eta: 6:14:39, time: 0.191, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1940, decode.acc_seg: 92.2032, loss: 0.1940 +2023-03-05 02:14:30,195 - mmseg - INFO - Iter [66100/160000] lr: 1.875e-05, eta: 6:14:24, time: 0.190, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1923, decode.acc_seg: 92.0834, loss: 0.1923 +2023-03-05 02:14:39,648 - mmseg - INFO - Iter [66150/160000] lr: 1.875e-05, eta: 6:14:09, time: 0.189, data_time: 0.008, memory: 52540, decode.loss_ce: 0.1958, decode.acc_seg: 92.0789, loss: 0.1958 +2023-03-05 02:14:49,495 - mmseg - INFO - Iter [66200/160000] lr: 1.875e-05, eta: 6:13:54, time: 0.197, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1868, decode.acc_seg: 92.2796, loss: 0.1868 +2023-03-05 02:14:59,299 - mmseg - INFO - Iter [66250/160000] lr: 1.875e-05, eta: 6:13:39, time: 0.196, data_time: 0.008, memory: 52540, decode.loss_ce: 0.1832, decode.acc_seg: 92.4514, loss: 0.1832 +2023-03-05 02:15:11,415 - mmseg - INFO - Iter [66300/160000] lr: 1.875e-05, eta: 6:13:27, time: 0.242, data_time: 0.052, memory: 52540, decode.loss_ce: 0.1933, decode.acc_seg: 92.0645, loss: 0.1933 +2023-03-05 02:15:20,982 - mmseg - INFO - Iter [66350/160000] lr: 1.875e-05, eta: 6:13:11, time: 0.191, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1848, decode.acc_seg: 92.4338, loss: 0.1848 +2023-03-05 02:15:30,651 - mmseg - INFO - Iter [66400/160000] lr: 1.875e-05, eta: 6:12:56, time: 0.193, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1867, decode.acc_seg: 92.1859, loss: 0.1867 +2023-03-05 02:15:40,261 - mmseg - INFO - Iter [66450/160000] lr: 1.875e-05, eta: 6:12:41, time: 0.192, data_time: 0.008, memory: 52540, decode.loss_ce: 0.1860, decode.acc_seg: 92.4072, loss: 0.1860 +2023-03-05 02:15:50,127 - mmseg - INFO - Iter [66500/160000] lr: 1.875e-05, eta: 6:12:26, time: 0.197, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1904, decode.acc_seg: 92.2952, loss: 0.1904 +2023-03-05 02:15:59,863 - mmseg - INFO - Iter [66550/160000] lr: 1.875e-05, eta: 6:12:11, time: 0.195, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1878, decode.acc_seg: 92.3128, loss: 0.1878 +2023-03-05 02:16:09,609 - mmseg - INFO - Iter [66600/160000] lr: 1.875e-05, eta: 6:11:56, time: 0.195, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1946, decode.acc_seg: 91.8820, loss: 0.1946 +2023-03-05 02:16:19,309 - mmseg - INFO - Iter [66650/160000] lr: 1.875e-05, eta: 6:11:41, time: 0.194, data_time: 0.008, memory: 52540, decode.loss_ce: 0.1913, decode.acc_seg: 92.1608, loss: 0.1913 +2023-03-05 02:16:28,888 - mmseg - INFO - Iter [66700/160000] lr: 1.875e-05, eta: 6:11:26, time: 0.192, data_time: 0.008, memory: 52540, decode.loss_ce: 0.1853, decode.acc_seg: 92.3703, loss: 0.1853 +2023-03-05 02:16:38,468 - mmseg - INFO - Iter [66750/160000] lr: 1.875e-05, eta: 6:11:10, time: 0.192, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1943, decode.acc_seg: 92.1116, loss: 0.1943 +2023-03-05 02:16:47,930 - mmseg - INFO - Iter [66800/160000] lr: 1.875e-05, eta: 6:10:55, time: 0.189, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1859, decode.acc_seg: 92.4189, loss: 0.1859 +2023-03-05 02:16:57,366 - mmseg - INFO - Iter [66850/160000] lr: 1.875e-05, eta: 6:10:40, time: 0.189, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1922, decode.acc_seg: 92.3175, loss: 0.1922 +2023-03-05 02:17:09,701 - mmseg - INFO - Iter [66900/160000] lr: 1.875e-05, eta: 6:10:28, time: 0.247, data_time: 0.053, memory: 52540, decode.loss_ce: 0.1919, decode.acc_seg: 92.1290, loss: 0.1919 +2023-03-05 02:17:19,228 - mmseg - INFO - Iter [66950/160000] lr: 1.875e-05, eta: 6:10:13, time: 0.191, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1820, decode.acc_seg: 92.4808, loss: 0.1820 +2023-03-05 02:17:28,838 - mmseg - INFO - Exp name: ablation_segformer_mit_b2_segformer_head_unet_fc_small_multi_step_ade_pretrained_freeze_embed_160k_ade20k151_mask_finetune_maskonly.py +2023-03-05 02:17:28,838 - mmseg - INFO - Iter [67000/160000] lr: 1.875e-05, eta: 6:09:58, time: 0.192, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1944, decode.acc_seg: 92.0652, loss: 0.1944 +2023-03-05 02:17:38,453 - mmseg - INFO - Iter [67050/160000] lr: 1.875e-05, eta: 6:09:43, time: 0.192, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1871, decode.acc_seg: 92.2360, loss: 0.1871 +2023-03-05 02:17:48,077 - mmseg - INFO - Iter [67100/160000] lr: 1.875e-05, eta: 6:09:28, time: 0.192, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1827, decode.acc_seg: 92.5655, loss: 0.1827 +2023-03-05 02:17:57,737 - mmseg - INFO - Iter [67150/160000] lr: 1.875e-05, eta: 6:09:12, time: 0.193, data_time: 0.008, memory: 52540, decode.loss_ce: 0.1864, decode.acc_seg: 92.3528, loss: 0.1864 +2023-03-05 02:18:07,735 - mmseg - INFO - Iter [67200/160000] lr: 1.875e-05, eta: 6:08:58, time: 0.200, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1965, decode.acc_seg: 91.9633, loss: 0.1965 +2023-03-05 02:18:17,855 - mmseg - INFO - Iter [67250/160000] lr: 1.875e-05, eta: 6:08:43, time: 0.202, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1896, decode.acc_seg: 92.1553, loss: 0.1896 +2023-03-05 02:18:27,747 - mmseg - INFO - Iter [67300/160000] lr: 1.875e-05, eta: 6:08:29, time: 0.198, data_time: 0.008, memory: 52540, decode.loss_ce: 0.1819, decode.acc_seg: 92.3343, loss: 0.1819 +2023-03-05 02:18:37,246 - mmseg - INFO - Iter [67350/160000] lr: 1.875e-05, eta: 6:08:13, time: 0.190, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1849, decode.acc_seg: 92.3413, loss: 0.1849 +2023-03-05 02:18:46,955 - mmseg - INFO - Iter [67400/160000] lr: 1.875e-05, eta: 6:07:58, time: 0.194, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1869, decode.acc_seg: 92.2680, loss: 0.1869 +2023-03-05 02:18:56,950 - mmseg - INFO - Iter [67450/160000] lr: 1.875e-05, eta: 6:07:44, time: 0.200, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1866, decode.acc_seg: 92.3162, loss: 0.1866 +2023-03-05 02:19:07,043 - mmseg - INFO - Iter [67500/160000] lr: 1.875e-05, eta: 6:07:29, time: 0.202, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1829, decode.acc_seg: 92.3064, loss: 0.1829 +2023-03-05 02:19:19,555 - mmseg - INFO - Iter [67550/160000] lr: 1.875e-05, eta: 6:07:18, time: 0.250, data_time: 0.053, memory: 52540, decode.loss_ce: 0.1867, decode.acc_seg: 92.4295, loss: 0.1867 +2023-03-05 02:19:29,141 - mmseg - INFO - Iter [67600/160000] lr: 1.875e-05, eta: 6:07:03, time: 0.192, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1868, decode.acc_seg: 92.2880, loss: 0.1868 +2023-03-05 02:19:38,643 - mmseg - INFO - Iter [67650/160000] lr: 1.875e-05, eta: 6:06:48, time: 0.190, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1858, decode.acc_seg: 92.4003, loss: 0.1858 +2023-03-05 02:19:48,206 - mmseg - INFO - Iter [67700/160000] lr: 1.875e-05, eta: 6:06:33, time: 0.191, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1907, decode.acc_seg: 92.1534, loss: 0.1907 +2023-03-05 02:19:57,891 - mmseg - INFO - Iter [67750/160000] lr: 1.875e-05, eta: 6:06:18, time: 0.194, data_time: 0.008, memory: 52540, decode.loss_ce: 0.1899, decode.acc_seg: 92.4467, loss: 0.1899 +2023-03-05 02:20:07,389 - mmseg - INFO - Iter [67800/160000] lr: 1.875e-05, eta: 6:06:03, time: 0.190, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1822, decode.acc_seg: 92.5177, loss: 0.1822 +2023-03-05 02:20:16,836 - mmseg - INFO - Iter [67850/160000] lr: 1.875e-05, eta: 6:05:48, time: 0.189, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1813, decode.acc_seg: 92.4562, loss: 0.1813 +2023-03-05 02:20:26,423 - mmseg - INFO - Iter [67900/160000] lr: 1.875e-05, eta: 6:05:32, time: 0.192, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1821, decode.acc_seg: 92.4600, loss: 0.1821 +2023-03-05 02:20:36,028 - mmseg - INFO - Iter [67950/160000] lr: 1.875e-05, eta: 6:05:17, time: 0.192, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1911, decode.acc_seg: 92.1829, loss: 0.1911 +2023-03-05 02:20:45,667 - mmseg - INFO - Exp name: ablation_segformer_mit_b2_segformer_head_unet_fc_small_multi_step_ade_pretrained_freeze_embed_160k_ade20k151_mask_finetune_maskonly.py +2023-03-05 02:20:45,667 - mmseg - INFO - Iter [68000/160000] lr: 1.875e-05, eta: 6:05:02, time: 0.193, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1927, decode.acc_seg: 92.1294, loss: 0.1927 +2023-03-05 02:20:55,187 - mmseg - INFO - Iter [68050/160000] lr: 1.875e-05, eta: 6:04:47, time: 0.190, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1949, decode.acc_seg: 92.0343, loss: 0.1949 +2023-03-05 02:21:04,954 - mmseg - INFO - Iter [68100/160000] lr: 1.875e-05, eta: 6:04:33, time: 0.196, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1877, decode.acc_seg: 92.1354, loss: 0.1877 +2023-03-05 02:21:16,895 - mmseg - INFO - Iter [68150/160000] lr: 1.875e-05, eta: 6:04:21, time: 0.239, data_time: 0.058, memory: 52540, decode.loss_ce: 0.1887, decode.acc_seg: 92.3027, loss: 0.1887 +2023-03-05 02:21:26,530 - mmseg - INFO - Iter [68200/160000] lr: 1.875e-05, eta: 6:04:06, time: 0.193, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1865, decode.acc_seg: 92.4328, loss: 0.1865 +2023-03-05 02:21:36,130 - mmseg - INFO - Iter [68250/160000] lr: 1.875e-05, eta: 6:03:51, time: 0.192, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1824, decode.acc_seg: 92.4396, loss: 0.1824 +2023-03-05 02:21:45,875 - mmseg - INFO - Iter [68300/160000] lr: 1.875e-05, eta: 6:03:36, time: 0.195, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1952, decode.acc_seg: 92.0911, loss: 0.1952 +2023-03-05 02:21:55,317 - mmseg - INFO - Iter [68350/160000] lr: 1.875e-05, eta: 6:03:21, time: 0.189, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1859, decode.acc_seg: 92.3253, loss: 0.1859 +2023-03-05 02:22:04,753 - mmseg - INFO - Iter [68400/160000] lr: 1.875e-05, eta: 6:03:06, time: 0.189, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1934, decode.acc_seg: 92.0613, loss: 0.1934 +2023-03-05 02:22:14,348 - mmseg - INFO - Iter [68450/160000] lr: 1.875e-05, eta: 6:02:51, time: 0.192, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1867, decode.acc_seg: 92.3090, loss: 0.1867 +2023-03-05 02:22:24,008 - mmseg - INFO - Iter [68500/160000] lr: 1.875e-05, eta: 6:02:36, time: 0.193, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1872, decode.acc_seg: 92.4253, loss: 0.1872 +2023-03-05 02:22:33,780 - mmseg - INFO - Iter [68550/160000] lr: 1.875e-05, eta: 6:02:21, time: 0.195, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1901, decode.acc_seg: 92.0185, loss: 0.1901 +2023-03-05 02:22:43,264 - mmseg - INFO - Iter [68600/160000] lr: 1.875e-05, eta: 6:02:06, time: 0.190, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1947, decode.acc_seg: 92.0257, loss: 0.1947 +2023-03-05 02:22:52,753 - mmseg - INFO - Iter [68650/160000] lr: 1.875e-05, eta: 6:01:51, time: 0.190, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1917, decode.acc_seg: 92.1846, loss: 0.1917 +2023-03-05 02:23:02,313 - mmseg - INFO - Iter [68700/160000] lr: 1.875e-05, eta: 6:01:36, time: 0.191, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1826, decode.acc_seg: 92.5617, loss: 0.1826 +2023-03-05 02:23:12,246 - mmseg - INFO - Iter [68750/160000] lr: 1.875e-05, eta: 6:01:21, time: 0.199, data_time: 0.008, memory: 52540, decode.loss_ce: 0.1974, decode.acc_seg: 91.9717, loss: 0.1974 +2023-03-05 02:23:24,299 - mmseg - INFO - Iter [68800/160000] lr: 1.875e-05, eta: 6:01:10, time: 0.241, data_time: 0.052, memory: 52540, decode.loss_ce: 0.1870, decode.acc_seg: 92.2671, loss: 0.1870 +2023-03-05 02:23:33,921 - mmseg - INFO - Iter [68850/160000] lr: 1.875e-05, eta: 6:00:55, time: 0.193, data_time: 0.008, memory: 52540, decode.loss_ce: 0.1935, decode.acc_seg: 91.9444, loss: 0.1935 +2023-03-05 02:23:43,711 - mmseg - INFO - Iter [68900/160000] lr: 1.875e-05, eta: 6:00:40, time: 0.196, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1918, decode.acc_seg: 92.2151, loss: 0.1918 +2023-03-05 02:23:53,361 - mmseg - INFO - Iter [68950/160000] lr: 1.875e-05, eta: 6:00:25, time: 0.193, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1927, decode.acc_seg: 92.3246, loss: 0.1927 +2023-03-05 02:24:02,908 - mmseg - INFO - Exp name: ablation_segformer_mit_b2_segformer_head_unet_fc_small_multi_step_ade_pretrained_freeze_embed_160k_ade20k151_mask_finetune_maskonly.py +2023-03-05 02:24:02,908 - mmseg - INFO - Iter [69000/160000] lr: 1.875e-05, eta: 6:00:11, time: 0.191, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1894, decode.acc_seg: 92.1534, loss: 0.1894 +2023-03-05 02:24:12,426 - mmseg - INFO - Iter [69050/160000] lr: 1.875e-05, eta: 5:59:56, time: 0.190, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1883, decode.acc_seg: 92.3478, loss: 0.1883 +2023-03-05 02:24:22,171 - mmseg - INFO - Iter [69100/160000] lr: 1.875e-05, eta: 5:59:41, time: 0.195, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1893, decode.acc_seg: 92.1184, loss: 0.1893 +2023-03-05 02:24:31,693 - mmseg - INFO - Iter [69150/160000] lr: 1.875e-05, eta: 5:59:26, time: 0.191, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1854, decode.acc_seg: 92.5536, loss: 0.1854 +2023-03-05 02:24:41,708 - mmseg - INFO - Iter [69200/160000] lr: 1.875e-05, eta: 5:59:12, time: 0.200, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1921, decode.acc_seg: 92.0016, loss: 0.1921 +2023-03-05 02:24:51,550 - mmseg - INFO - Iter [69250/160000] lr: 1.875e-05, eta: 5:58:57, time: 0.197, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1890, decode.acc_seg: 92.1631, loss: 0.1890 +2023-03-05 02:25:01,181 - mmseg - INFO - Iter [69300/160000] lr: 1.875e-05, eta: 5:58:42, time: 0.193, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1889, decode.acc_seg: 92.2170, loss: 0.1889 +2023-03-05 02:25:11,206 - mmseg - INFO - Iter [69350/160000] lr: 1.875e-05, eta: 5:58:28, time: 0.200, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1825, decode.acc_seg: 92.4497, loss: 0.1825 +2023-03-05 02:25:21,397 - mmseg - INFO - Iter [69400/160000] lr: 1.875e-05, eta: 5:58:14, time: 0.204, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1945, decode.acc_seg: 91.9833, loss: 0.1945 +2023-03-05 02:25:33,521 - mmseg - INFO - Iter [69450/160000] lr: 1.875e-05, eta: 5:58:02, time: 0.242, data_time: 0.055, memory: 52540, decode.loss_ce: 0.1856, decode.acc_seg: 92.1750, loss: 0.1856 +2023-03-05 02:25:43,037 - mmseg - INFO - Iter [69500/160000] lr: 1.875e-05, eta: 5:57:48, time: 0.190, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1847, decode.acc_seg: 92.5390, loss: 0.1847 +2023-03-05 02:25:52,554 - mmseg - INFO - Iter [69550/160000] lr: 1.875e-05, eta: 5:57:33, time: 0.190, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1847, decode.acc_seg: 92.3691, loss: 0.1847 +2023-03-05 02:26:02,194 - mmseg - INFO - Iter [69600/160000] lr: 1.875e-05, eta: 5:57:18, time: 0.193, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1855, decode.acc_seg: 92.3896, loss: 0.1855 +2023-03-05 02:26:12,037 - mmseg - INFO - Iter [69650/160000] lr: 1.875e-05, eta: 5:57:03, time: 0.197, data_time: 0.008, memory: 52540, decode.loss_ce: 0.1926, decode.acc_seg: 92.2019, loss: 0.1926 +2023-03-05 02:26:21,560 - mmseg - INFO - Iter [69700/160000] lr: 1.875e-05, eta: 5:56:49, time: 0.190, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1920, decode.acc_seg: 92.0198, loss: 0.1920 +2023-03-05 02:26:31,209 - mmseg - INFO - Iter [69750/160000] lr: 1.875e-05, eta: 5:56:34, time: 0.193, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1842, decode.acc_seg: 92.3566, loss: 0.1842 +2023-03-05 02:26:40,812 - mmseg - INFO - Iter [69800/160000] lr: 1.875e-05, eta: 5:56:19, time: 0.192, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1839, decode.acc_seg: 92.4331, loss: 0.1839 +2023-03-05 02:26:50,232 - mmseg - INFO - Iter [69850/160000] lr: 1.875e-05, eta: 5:56:04, time: 0.188, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1862, decode.acc_seg: 92.4309, loss: 0.1862 +2023-03-05 02:27:00,021 - mmseg - INFO - Iter [69900/160000] lr: 1.875e-05, eta: 5:55:50, time: 0.196, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1948, decode.acc_seg: 91.9508, loss: 0.1948 +2023-03-05 02:27:09,474 - mmseg - INFO - Iter [69950/160000] lr: 1.875e-05, eta: 5:55:35, time: 0.189, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1926, decode.acc_seg: 92.0814, loss: 0.1926 +2023-03-05 02:27:19,089 - mmseg - INFO - Exp name: ablation_segformer_mit_b2_segformer_head_unet_fc_small_multi_step_ade_pretrained_freeze_embed_160k_ade20k151_mask_finetune_maskonly.py +2023-03-05 02:27:19,089 - mmseg - INFO - Iter [70000/160000] lr: 1.875e-05, eta: 5:55:20, time: 0.192, data_time: 0.007, memory: 52540, decode.loss_ce: 0.2001, decode.acc_seg: 91.8285, loss: 0.2001 +2023-03-05 02:27:31,274 - mmseg - INFO - Iter [70050/160000] lr: 1.875e-05, eta: 5:55:09, time: 0.244, data_time: 0.057, memory: 52540, decode.loss_ce: 0.1837, decode.acc_seg: 92.5134, loss: 0.1837 +2023-03-05 02:27:40,731 - mmseg - INFO - Iter [70100/160000] lr: 1.875e-05, eta: 5:54:54, time: 0.189, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1894, decode.acc_seg: 92.2283, loss: 0.1894 +2023-03-05 02:27:50,166 - mmseg - INFO - Iter [70150/160000] lr: 1.875e-05, eta: 5:54:39, time: 0.189, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1887, decode.acc_seg: 92.2820, loss: 0.1887 +2023-03-05 02:27:59,657 - mmseg - INFO - Iter [70200/160000] lr: 1.875e-05, eta: 5:54:24, time: 0.190, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1811, decode.acc_seg: 92.5386, loss: 0.1811 +2023-03-05 02:28:09,207 - mmseg - INFO - Iter [70250/160000] lr: 1.875e-05, eta: 5:54:09, time: 0.191, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1849, decode.acc_seg: 92.3391, loss: 0.1849 +2023-03-05 02:28:18,901 - mmseg - INFO - Iter [70300/160000] lr: 1.875e-05, eta: 5:53:54, time: 0.194, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1868, decode.acc_seg: 92.1868, loss: 0.1868 +2023-03-05 02:28:28,345 - mmseg - INFO - Iter [70350/160000] lr: 1.875e-05, eta: 5:53:40, time: 0.189, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1845, decode.acc_seg: 92.5576, loss: 0.1845 +2023-03-05 02:28:37,979 - mmseg - INFO - Iter [70400/160000] lr: 1.875e-05, eta: 5:53:25, time: 0.193, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1851, decode.acc_seg: 92.3118, loss: 0.1851 +2023-03-05 02:28:47,471 - mmseg - INFO - Iter [70450/160000] lr: 1.875e-05, eta: 5:53:10, time: 0.190, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1917, decode.acc_seg: 92.2009, loss: 0.1917 +2023-03-05 02:28:57,395 - mmseg - INFO - Iter [70500/160000] lr: 1.875e-05, eta: 5:52:56, time: 0.198, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1881, decode.acc_seg: 92.2685, loss: 0.1881 +2023-03-05 02:29:06,949 - mmseg - INFO - Iter [70550/160000] lr: 1.875e-05, eta: 5:52:41, time: 0.191, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1883, decode.acc_seg: 92.2829, loss: 0.1883 +2023-03-05 02:29:16,354 - mmseg - INFO - Iter [70600/160000] lr: 1.875e-05, eta: 5:52:26, time: 0.188, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1871, decode.acc_seg: 92.3406, loss: 0.1871 +2023-03-05 02:29:26,019 - mmseg - INFO - Iter [70650/160000] lr: 1.875e-05, eta: 5:52:12, time: 0.193, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1853, decode.acc_seg: 92.3880, loss: 0.1853 +2023-03-05 02:29:38,097 - mmseg - INFO - Iter [70700/160000] lr: 1.875e-05, eta: 5:52:00, time: 0.242, data_time: 0.055, memory: 52540, decode.loss_ce: 0.1924, decode.acc_seg: 92.1435, loss: 0.1924 +2023-03-05 02:29:47,621 - mmseg - INFO - Iter [70750/160000] lr: 1.875e-05, eta: 5:51:45, time: 0.190, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1891, decode.acc_seg: 92.3520, loss: 0.1891 +2023-03-05 02:29:57,176 - mmseg - INFO - Iter [70800/160000] lr: 1.875e-05, eta: 5:51:31, time: 0.191, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1807, decode.acc_seg: 92.4273, loss: 0.1807 +2023-03-05 02:30:06,953 - mmseg - INFO - Iter [70850/160000] lr: 1.875e-05, eta: 5:51:16, time: 0.196, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1883, decode.acc_seg: 92.2010, loss: 0.1883 +2023-03-05 02:30:16,373 - mmseg - INFO - Iter [70900/160000] lr: 1.875e-05, eta: 5:51:02, time: 0.188, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1898, decode.acc_seg: 92.3088, loss: 0.1898 +2023-03-05 02:30:26,028 - mmseg - INFO - Iter [70950/160000] lr: 1.875e-05, eta: 5:50:47, time: 0.193, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1918, decode.acc_seg: 91.9791, loss: 0.1918 +2023-03-05 02:30:35,519 - mmseg - INFO - Exp name: ablation_segformer_mit_b2_segformer_head_unet_fc_small_multi_step_ade_pretrained_freeze_embed_160k_ade20k151_mask_finetune_maskonly.py +2023-03-05 02:30:35,520 - mmseg - INFO - Iter [71000/160000] lr: 1.875e-05, eta: 5:50:32, time: 0.190, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1773, decode.acc_seg: 92.6709, loss: 0.1773 +2023-03-05 02:30:45,310 - mmseg - INFO - Iter [71050/160000] lr: 1.875e-05, eta: 5:50:18, time: 0.196, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1948, decode.acc_seg: 92.0313, loss: 0.1948 +2023-03-05 02:30:55,013 - mmseg - INFO - Iter [71100/160000] lr: 1.875e-05, eta: 5:50:03, time: 0.194, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1800, decode.acc_seg: 92.6206, loss: 0.1800 +2023-03-05 02:31:04,627 - mmseg - INFO - Iter [71150/160000] lr: 1.875e-05, eta: 5:49:49, time: 0.192, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1993, decode.acc_seg: 91.7845, loss: 0.1993 +2023-03-05 02:31:14,103 - mmseg - INFO - Iter [71200/160000] lr: 1.875e-05, eta: 5:49:34, time: 0.190, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1866, decode.acc_seg: 92.3729, loss: 0.1866 +2023-03-05 02:31:23,495 - mmseg - INFO - Iter [71250/160000] lr: 1.875e-05, eta: 5:49:19, time: 0.188, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1911, decode.acc_seg: 92.2479, loss: 0.1911 +2023-03-05 02:31:33,572 - mmseg - INFO - Iter [71300/160000] lr: 1.875e-05, eta: 5:49:05, time: 0.202, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1880, decode.acc_seg: 92.2510, loss: 0.1880 +2023-03-05 02:31:45,741 - mmseg - INFO - Iter [71350/160000] lr: 1.875e-05, eta: 5:48:54, time: 0.243, data_time: 0.055, memory: 52540, decode.loss_ce: 0.1952, decode.acc_seg: 92.0008, loss: 0.1952 +2023-03-05 02:31:55,749 - mmseg - INFO - Iter [71400/160000] lr: 1.875e-05, eta: 5:48:40, time: 0.200, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1840, decode.acc_seg: 92.3997, loss: 0.1840 +2023-03-05 02:32:05,176 - mmseg - INFO - Iter [71450/160000] lr: 1.875e-05, eta: 5:48:25, time: 0.189, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1964, decode.acc_seg: 91.9894, loss: 0.1964 +2023-03-05 02:32:14,730 - mmseg - INFO - Iter [71500/160000] lr: 1.875e-05, eta: 5:48:11, time: 0.191, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1855, decode.acc_seg: 92.3021, loss: 0.1855 +2023-03-05 02:32:24,279 - mmseg - INFO - Iter [71550/160000] lr: 1.875e-05, eta: 5:47:56, time: 0.191, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1922, decode.acc_seg: 92.0453, loss: 0.1922 +2023-03-05 02:32:33,893 - mmseg - INFO - Iter [71600/160000] lr: 1.875e-05, eta: 5:47:42, time: 0.192, data_time: 0.008, memory: 52540, decode.loss_ce: 0.1902, decode.acc_seg: 92.2697, loss: 0.1902 +2023-03-05 02:32:43,397 - mmseg - INFO - Iter [71650/160000] lr: 1.875e-05, eta: 5:47:27, time: 0.190, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1861, decode.acc_seg: 92.3919, loss: 0.1861 +2023-03-05 02:32:53,817 - mmseg - INFO - Iter [71700/160000] lr: 1.875e-05, eta: 5:47:13, time: 0.208, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1831, decode.acc_seg: 92.4617, loss: 0.1831 +2023-03-05 02:33:03,383 - mmseg - INFO - Iter [71750/160000] lr: 1.875e-05, eta: 5:46:59, time: 0.191, data_time: 0.008, memory: 52540, decode.loss_ce: 0.1793, decode.acc_seg: 92.6403, loss: 0.1793 +2023-03-05 02:33:13,199 - mmseg - INFO - Iter [71800/160000] lr: 1.875e-05, eta: 5:46:45, time: 0.196, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1882, decode.acc_seg: 92.2238, loss: 0.1882 +2023-03-05 02:33:22,699 - mmseg - INFO - Iter [71850/160000] lr: 1.875e-05, eta: 5:46:30, time: 0.190, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1874, decode.acc_seg: 92.2547, loss: 0.1874 +2023-03-05 02:33:32,442 - mmseg - INFO - Iter [71900/160000] lr: 1.875e-05, eta: 5:46:16, time: 0.195, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1876, decode.acc_seg: 92.2634, loss: 0.1876 +2023-03-05 02:33:44,488 - mmseg - INFO - Iter [71950/160000] lr: 1.875e-05, eta: 5:46:04, time: 0.241, data_time: 0.055, memory: 52540, decode.loss_ce: 0.1806, decode.acc_seg: 92.5426, loss: 0.1806 +2023-03-05 02:33:54,872 - mmseg - INFO - Exp name: ablation_segformer_mit_b2_segformer_head_unet_fc_small_multi_step_ade_pretrained_freeze_embed_160k_ade20k151_mask_finetune_maskonly.py +2023-03-05 02:33:54,872 - mmseg - INFO - Iter [72000/160000] lr: 1.875e-05, eta: 5:45:51, time: 0.208, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1816, decode.acc_seg: 92.4199, loss: 0.1816 +2023-03-05 02:34:04,314 - mmseg - INFO - Iter [72050/160000] lr: 1.875e-05, eta: 5:45:36, time: 0.189, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1881, decode.acc_seg: 92.3417, loss: 0.1881 +2023-03-05 02:34:14,016 - mmseg - INFO - Iter [72100/160000] lr: 1.875e-05, eta: 5:45:22, time: 0.194, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1894, decode.acc_seg: 92.3950, loss: 0.1894 +2023-03-05 02:34:23,777 - mmseg - INFO - Iter [72150/160000] lr: 1.875e-05, eta: 5:45:08, time: 0.195, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1926, decode.acc_seg: 92.0341, loss: 0.1926 +2023-03-05 02:34:33,506 - mmseg - INFO - Iter [72200/160000] lr: 1.875e-05, eta: 5:44:53, time: 0.195, data_time: 0.008, memory: 52540, decode.loss_ce: 0.1880, decode.acc_seg: 92.1653, loss: 0.1880 +2023-03-05 02:34:43,121 - mmseg - INFO - Iter [72250/160000] lr: 1.875e-05, eta: 5:44:39, time: 0.192, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1915, decode.acc_seg: 92.0692, loss: 0.1915 +2023-03-05 02:34:52,530 - mmseg - INFO - Iter [72300/160000] lr: 1.875e-05, eta: 5:44:24, time: 0.188, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1834, decode.acc_seg: 92.5242, loss: 0.1834 +2023-03-05 02:35:02,071 - mmseg - INFO - Iter [72350/160000] lr: 1.875e-05, eta: 5:44:10, time: 0.191, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1875, decode.acc_seg: 92.4393, loss: 0.1875 +2023-03-05 02:35:11,732 - mmseg - INFO - Iter [72400/160000] lr: 1.875e-05, eta: 5:43:55, time: 0.193, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1820, decode.acc_seg: 92.5670, loss: 0.1820 +2023-03-05 02:35:21,222 - mmseg - INFO - Iter [72450/160000] lr: 1.875e-05, eta: 5:43:41, time: 0.190, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1846, decode.acc_seg: 92.4244, loss: 0.1846 +2023-03-05 02:35:30,767 - mmseg - INFO - Iter [72500/160000] lr: 1.875e-05, eta: 5:43:26, time: 0.191, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1817, decode.acc_seg: 92.4717, loss: 0.1817 +2023-03-05 02:35:40,359 - mmseg - INFO - Iter [72550/160000] lr: 1.875e-05, eta: 5:43:12, time: 0.192, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1951, decode.acc_seg: 92.0127, loss: 0.1951 +2023-03-05 02:35:52,580 - mmseg - INFO - Iter [72600/160000] lr: 1.875e-05, eta: 5:43:01, time: 0.244, data_time: 0.053, memory: 52540, decode.loss_ce: 0.1858, decode.acc_seg: 92.3833, loss: 0.1858 +2023-03-05 02:36:02,019 - mmseg - INFO - Iter [72650/160000] lr: 1.875e-05, eta: 5:42:46, time: 0.189, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1893, decode.acc_seg: 92.2908, loss: 0.1893 +2023-03-05 02:36:12,142 - mmseg - INFO - Iter [72700/160000] lr: 1.875e-05, eta: 5:42:32, time: 0.202, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1982, decode.acc_seg: 91.8809, loss: 0.1982 +2023-03-05 02:36:21,661 - mmseg - INFO - Iter [72750/160000] lr: 1.875e-05, eta: 5:42:18, time: 0.190, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1848, decode.acc_seg: 92.2568, loss: 0.1848 +2023-03-05 02:36:31,246 - mmseg - INFO - Iter [72800/160000] lr: 1.875e-05, eta: 5:42:03, time: 0.192, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1845, decode.acc_seg: 92.2890, loss: 0.1845 +2023-03-05 02:36:40,995 - mmseg - INFO - Iter [72850/160000] lr: 1.875e-05, eta: 5:41:49, time: 0.195, data_time: 0.008, memory: 52540, decode.loss_ce: 0.1904, decode.acc_seg: 92.1086, loss: 0.1904 +2023-03-05 02:36:50,539 - mmseg - INFO - Iter [72900/160000] lr: 1.875e-05, eta: 5:41:35, time: 0.191, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1846, decode.acc_seg: 92.4031, loss: 0.1846 +2023-03-05 02:37:00,110 - mmseg - INFO - Iter [72950/160000] lr: 1.875e-05, eta: 5:41:20, time: 0.191, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1850, decode.acc_seg: 92.3396, loss: 0.1850 +2023-03-05 02:37:09,783 - mmseg - INFO - Exp name: ablation_segformer_mit_b2_segformer_head_unet_fc_small_multi_step_ade_pretrained_freeze_embed_160k_ade20k151_mask_finetune_maskonly.py +2023-03-05 02:37:09,783 - mmseg - INFO - Iter [73000/160000] lr: 1.875e-05, eta: 5:41:06, time: 0.194, data_time: 0.008, memory: 52540, decode.loss_ce: 0.1911, decode.acc_seg: 91.9993, loss: 0.1911 +2023-03-05 02:37:19,437 - mmseg - INFO - Iter [73050/160000] lr: 1.875e-05, eta: 5:40:52, time: 0.193, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1760, decode.acc_seg: 92.6891, loss: 0.1760 +2023-03-05 02:37:29,188 - mmseg - INFO - Iter [73100/160000] lr: 1.875e-05, eta: 5:40:38, time: 0.195, data_time: 0.008, memory: 52540, decode.loss_ce: 0.1832, decode.acc_seg: 92.5348, loss: 0.1832 +2023-03-05 02:37:38,651 - mmseg - INFO - Iter [73150/160000] lr: 1.875e-05, eta: 5:40:23, time: 0.189, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1898, decode.acc_seg: 92.2719, loss: 0.1898 +2023-03-05 02:37:50,744 - mmseg - INFO - Iter [73200/160000] lr: 1.875e-05, eta: 5:40:12, time: 0.242, data_time: 0.057, memory: 52540, decode.loss_ce: 0.1862, decode.acc_seg: 92.3006, loss: 0.1862 +2023-03-05 02:38:00,949 - mmseg - INFO - Iter [73250/160000] lr: 1.875e-05, eta: 5:39:58, time: 0.204, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1841, decode.acc_seg: 92.4874, loss: 0.1841 +2023-03-05 02:38:10,580 - mmseg - INFO - Iter [73300/160000] lr: 1.875e-05, eta: 5:39:44, time: 0.193, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1820, decode.acc_seg: 92.5209, loss: 0.1820 +2023-03-05 02:38:20,410 - mmseg - INFO - Iter [73350/160000] lr: 1.875e-05, eta: 5:39:30, time: 0.196, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1905, decode.acc_seg: 92.3106, loss: 0.1905 +2023-03-05 02:38:30,281 - mmseg - INFO - Iter [73400/160000] lr: 1.875e-05, eta: 5:39:16, time: 0.198, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1871, decode.acc_seg: 92.1381, loss: 0.1871 +2023-03-05 02:38:39,806 - mmseg - INFO - Iter [73450/160000] lr: 1.875e-05, eta: 5:39:02, time: 0.190, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1980, decode.acc_seg: 91.9815, loss: 0.1980 +2023-03-05 02:38:49,538 - mmseg - INFO - Iter [73500/160000] lr: 1.875e-05, eta: 5:38:48, time: 0.195, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1767, decode.acc_seg: 92.5590, loss: 0.1767 +2023-03-05 02:38:59,081 - mmseg - INFO - Iter [73550/160000] lr: 1.875e-05, eta: 5:38:33, time: 0.191, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1873, decode.acc_seg: 92.2488, loss: 0.1873 +2023-03-05 02:39:08,994 - mmseg - INFO - Iter [73600/160000] lr: 1.875e-05, eta: 5:38:19, time: 0.198, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1829, decode.acc_seg: 92.3641, loss: 0.1829 +2023-03-05 02:39:18,543 - mmseg - INFO - Iter [73650/160000] lr: 1.875e-05, eta: 5:38:05, time: 0.191, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1847, decode.acc_seg: 92.4167, loss: 0.1847 +2023-03-05 02:39:28,239 - mmseg - INFO - Iter [73700/160000] lr: 1.875e-05, eta: 5:37:51, time: 0.194, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1904, decode.acc_seg: 92.1436, loss: 0.1904 +2023-03-05 02:39:37,807 - mmseg - INFO - Iter [73750/160000] lr: 1.875e-05, eta: 5:37:37, time: 0.191, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1919, decode.acc_seg: 92.2926, loss: 0.1919 +2023-03-05 02:39:47,864 - mmseg - INFO - Iter [73800/160000] lr: 1.875e-05, eta: 5:37:23, time: 0.201, data_time: 0.008, memory: 52540, decode.loss_ce: 0.1852, decode.acc_seg: 92.4500, loss: 0.1852 +2023-03-05 02:40:00,000 - mmseg - INFO - Iter [73850/160000] lr: 1.875e-05, eta: 5:37:12, time: 0.243, data_time: 0.054, memory: 52540, decode.loss_ce: 0.1855, decode.acc_seg: 92.2768, loss: 0.1855 +2023-03-05 02:40:09,638 - mmseg - INFO - Iter [73900/160000] lr: 1.875e-05, eta: 5:36:57, time: 0.193, data_time: 0.008, memory: 52540, decode.loss_ce: 0.1844, decode.acc_seg: 92.3494, loss: 0.1844 +2023-03-05 02:40:19,233 - mmseg - INFO - Iter [73950/160000] lr: 1.875e-05, eta: 5:36:43, time: 0.192, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1944, decode.acc_seg: 92.1970, loss: 0.1944 +2023-03-05 02:40:28,726 - mmseg - INFO - Exp name: ablation_segformer_mit_b2_segformer_head_unet_fc_small_multi_step_ade_pretrained_freeze_embed_160k_ade20k151_mask_finetune_maskonly.py +2023-03-05 02:40:28,726 - mmseg - INFO - Iter [74000/160000] lr: 1.875e-05, eta: 5:36:29, time: 0.190, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1856, decode.acc_seg: 92.4019, loss: 0.1856 +2023-03-05 02:40:38,323 - mmseg - INFO - Iter [74050/160000] lr: 1.875e-05, eta: 5:36:15, time: 0.192, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1891, decode.acc_seg: 92.2001, loss: 0.1891 +2023-03-05 02:40:47,883 - mmseg - INFO - Iter [74100/160000] lr: 1.875e-05, eta: 5:36:00, time: 0.191, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1924, decode.acc_seg: 92.0734, loss: 0.1924 +2023-03-05 02:40:57,475 - mmseg - INFO - Iter [74150/160000] lr: 1.875e-05, eta: 5:35:46, time: 0.192, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1885, decode.acc_seg: 92.2632, loss: 0.1885 +2023-03-05 02:41:07,076 - mmseg - INFO - Iter [74200/160000] lr: 1.875e-05, eta: 5:35:32, time: 0.192, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1905, decode.acc_seg: 92.1742, loss: 0.1905 +2023-03-05 02:41:16,458 - mmseg - INFO - Iter [74250/160000] lr: 1.875e-05, eta: 5:35:17, time: 0.188, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1818, decode.acc_seg: 92.3666, loss: 0.1818 +2023-03-05 02:41:25,947 - mmseg - INFO - Iter [74300/160000] lr: 1.875e-05, eta: 5:35:03, time: 0.190, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1838, decode.acc_seg: 92.4053, loss: 0.1838 +2023-03-05 02:41:35,644 - mmseg - INFO - Iter [74350/160000] lr: 1.875e-05, eta: 5:34:49, time: 0.194, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1833, decode.acc_seg: 92.4596, loss: 0.1833 +2023-03-05 02:41:45,063 - mmseg - INFO - Iter [74400/160000] lr: 1.875e-05, eta: 5:34:35, time: 0.188, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1866, decode.acc_seg: 92.3060, loss: 0.1866 +2023-03-05 02:41:54,607 - mmseg - INFO - Iter [74450/160000] lr: 1.875e-05, eta: 5:34:20, time: 0.191, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1913, decode.acc_seg: 92.1627, loss: 0.1913 +2023-03-05 02:42:06,574 - mmseg - INFO - Iter [74500/160000] lr: 1.875e-05, eta: 5:34:09, time: 0.239, data_time: 0.055, memory: 52540, decode.loss_ce: 0.1884, decode.acc_seg: 92.2546, loss: 0.1884 +2023-03-05 02:42:16,291 - mmseg - INFO - Iter [74550/160000] lr: 1.875e-05, eta: 5:33:55, time: 0.194, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1942, decode.acc_seg: 92.0567, loss: 0.1942 +2023-03-05 02:42:25,828 - mmseg - INFO - Iter [74600/160000] lr: 1.875e-05, eta: 5:33:41, time: 0.191, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1926, decode.acc_seg: 91.9779, loss: 0.1926 +2023-03-05 02:42:35,604 - mmseg - INFO - Iter [74650/160000] lr: 1.875e-05, eta: 5:33:27, time: 0.196, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1910, decode.acc_seg: 92.1404, loss: 0.1910 +2023-03-05 02:42:45,095 - mmseg - INFO - Iter [74700/160000] lr: 1.875e-05, eta: 5:33:13, time: 0.190, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1857, decode.acc_seg: 92.4825, loss: 0.1857 +2023-03-05 02:42:54,610 - mmseg - INFO - Iter [74750/160000] lr: 1.875e-05, eta: 5:32:58, time: 0.190, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1926, decode.acc_seg: 92.0519, loss: 0.1926 +2023-03-05 02:43:04,329 - mmseg - INFO - Iter [74800/160000] lr: 1.875e-05, eta: 5:32:44, time: 0.195, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1888, decode.acc_seg: 92.3762, loss: 0.1888 +2023-03-05 02:43:14,038 - mmseg - INFO - Iter [74850/160000] lr: 1.875e-05, eta: 5:32:30, time: 0.194, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1823, decode.acc_seg: 92.4753, loss: 0.1823 +2023-03-05 02:43:23,576 - mmseg - INFO - Iter [74900/160000] lr: 1.875e-05, eta: 5:32:16, time: 0.191, data_time: 0.008, memory: 52540, decode.loss_ce: 0.1837, decode.acc_seg: 92.3970, loss: 0.1837 +2023-03-05 02:43:33,366 - mmseg - INFO - Iter [74950/160000] lr: 1.875e-05, eta: 5:32:02, time: 0.196, data_time: 0.008, memory: 52540, decode.loss_ce: 0.1887, decode.acc_seg: 92.2643, loss: 0.1887 +2023-03-05 02:43:42,827 - mmseg - INFO - Exp name: ablation_segformer_mit_b2_segformer_head_unet_fc_small_multi_step_ade_pretrained_freeze_embed_160k_ade20k151_mask_finetune_maskonly.py +2023-03-05 02:43:42,827 - mmseg - INFO - Iter [75000/160000] lr: 1.875e-05, eta: 5:31:48, time: 0.189, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1891, decode.acc_seg: 92.2240, loss: 0.1891 +2023-03-05 02:43:52,340 - mmseg - INFO - Iter [75050/160000] lr: 1.875e-05, eta: 5:31:34, time: 0.190, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1874, decode.acc_seg: 92.3735, loss: 0.1874 +2023-03-05 02:44:04,501 - mmseg - INFO - Iter [75100/160000] lr: 1.875e-05, eta: 5:31:23, time: 0.243, data_time: 0.056, memory: 52540, decode.loss_ce: 0.1870, decode.acc_seg: 92.3233, loss: 0.1870 +2023-03-05 02:44:14,023 - mmseg - INFO - Iter [75150/160000] lr: 1.875e-05, eta: 5:31:08, time: 0.190, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1891, decode.acc_seg: 92.2864, loss: 0.1891 +2023-03-05 02:44:23,532 - mmseg - INFO - Iter [75200/160000] lr: 1.875e-05, eta: 5:30:54, time: 0.190, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1876, decode.acc_seg: 92.2963, loss: 0.1876 +2023-03-05 02:44:33,266 - mmseg - INFO - Iter [75250/160000] lr: 1.875e-05, eta: 5:30:40, time: 0.195, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1890, decode.acc_seg: 92.1827, loss: 0.1890 +2023-03-05 02:44:42,769 - mmseg - INFO - Iter [75300/160000] lr: 1.875e-05, eta: 5:30:26, time: 0.190, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1849, decode.acc_seg: 92.5558, loss: 0.1849 +2023-03-05 02:44:52,393 - mmseg - INFO - Iter [75350/160000] lr: 1.875e-05, eta: 5:30:12, time: 0.192, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1915, decode.acc_seg: 92.1444, loss: 0.1915 +2023-03-05 02:45:01,803 - mmseg - INFO - Iter [75400/160000] lr: 1.875e-05, eta: 5:29:58, time: 0.188, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1842, decode.acc_seg: 92.4959, loss: 0.1842 +2023-03-05 02:45:11,251 - mmseg - INFO - Iter [75450/160000] lr: 1.875e-05, eta: 5:29:44, time: 0.189, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1893, decode.acc_seg: 92.3376, loss: 0.1893 +2023-03-05 02:45:20,802 - mmseg - INFO - Iter [75500/160000] lr: 1.875e-05, eta: 5:29:29, time: 0.191, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1940, decode.acc_seg: 92.1746, loss: 0.1940 +2023-03-05 02:45:30,388 - mmseg - INFO - Iter [75550/160000] lr: 1.875e-05, eta: 5:29:15, time: 0.192, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1882, decode.acc_seg: 92.3581, loss: 0.1882 +2023-03-05 02:45:40,010 - mmseg - INFO - Iter [75600/160000] lr: 1.875e-05, eta: 5:29:01, time: 0.192, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1911, decode.acc_seg: 92.2847, loss: 0.1911 +2023-03-05 02:45:49,990 - mmseg - INFO - Iter [75650/160000] lr: 1.875e-05, eta: 5:28:48, time: 0.199, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1884, decode.acc_seg: 92.2291, loss: 0.1884 +2023-03-05 02:46:00,075 - mmseg - INFO - Iter [75700/160000] lr: 1.875e-05, eta: 5:28:34, time: 0.202, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1901, decode.acc_seg: 92.3335, loss: 0.1901 +2023-03-05 02:46:12,115 - mmseg - INFO - Iter [75750/160000] lr: 1.875e-05, eta: 5:28:23, time: 0.241, data_time: 0.056, memory: 52540, decode.loss_ce: 0.1859, decode.acc_seg: 92.4412, loss: 0.1859 +2023-03-05 02:46:21,631 - mmseg - INFO - Iter [75800/160000] lr: 1.875e-05, eta: 5:28:09, time: 0.190, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1908, decode.acc_seg: 92.2020, loss: 0.1908 +2023-03-05 02:46:31,465 - mmseg - INFO - Iter [75850/160000] lr: 1.875e-05, eta: 5:27:55, time: 0.197, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1855, decode.acc_seg: 92.3910, loss: 0.1855 +2023-03-05 02:46:40,873 - mmseg - INFO - Iter [75900/160000] lr: 1.875e-05, eta: 5:27:41, time: 0.188, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1890, decode.acc_seg: 92.1176, loss: 0.1890 +2023-03-05 02:46:50,328 - mmseg - INFO - Iter [75950/160000] lr: 1.875e-05, eta: 5:27:27, time: 0.189, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1944, decode.acc_seg: 92.1537, loss: 0.1944 +2023-03-05 02:47:00,026 - mmseg - INFO - Exp name: ablation_segformer_mit_b2_segformer_head_unet_fc_small_multi_step_ade_pretrained_freeze_embed_160k_ade20k151_mask_finetune_maskonly.py +2023-03-05 02:47:00,026 - mmseg - INFO - Iter [76000/160000] lr: 1.875e-05, eta: 5:27:13, time: 0.194, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1942, decode.acc_seg: 92.1537, loss: 0.1942 +2023-03-05 02:47:09,594 - mmseg - INFO - Iter [76050/160000] lr: 1.875e-05, eta: 5:26:59, time: 0.192, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1836, decode.acc_seg: 92.3739, loss: 0.1836 +2023-03-05 02:47:19,043 - mmseg - INFO - Iter [76100/160000] lr: 1.875e-05, eta: 5:26:45, time: 0.189, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1862, decode.acc_seg: 92.4839, loss: 0.1862 +2023-03-05 02:47:28,727 - mmseg - INFO - Iter [76150/160000] lr: 1.875e-05, eta: 5:26:31, time: 0.194, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1920, decode.acc_seg: 92.0936, loss: 0.1920 +2023-03-05 02:47:38,376 - mmseg - INFO - Iter [76200/160000] lr: 1.875e-05, eta: 5:26:17, time: 0.193, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1959, decode.acc_seg: 92.0560, loss: 0.1959 +2023-03-05 02:47:48,271 - mmseg - INFO - Iter [76250/160000] lr: 1.875e-05, eta: 5:26:03, time: 0.198, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1907, decode.acc_seg: 92.1740, loss: 0.1907 +2023-03-05 02:47:57,685 - mmseg - INFO - Iter [76300/160000] lr: 1.875e-05, eta: 5:25:49, time: 0.188, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1894, decode.acc_seg: 92.4016, loss: 0.1894 +2023-03-05 02:48:07,179 - mmseg - INFO - Iter [76350/160000] lr: 1.875e-05, eta: 5:25:35, time: 0.190, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1882, decode.acc_seg: 92.4071, loss: 0.1882 +2023-03-05 02:48:19,435 - mmseg - INFO - Iter [76400/160000] lr: 1.875e-05, eta: 5:25:24, time: 0.245, data_time: 0.056, memory: 52540, decode.loss_ce: 0.1907, decode.acc_seg: 92.1063, loss: 0.1907 +2023-03-05 02:48:28,889 - mmseg - INFO - Iter [76450/160000] lr: 1.875e-05, eta: 5:25:10, time: 0.189, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1897, decode.acc_seg: 92.0526, loss: 0.1897 +2023-03-05 02:48:38,416 - mmseg - INFO - Iter [76500/160000] lr: 1.875e-05, eta: 5:24:56, time: 0.191, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1954, decode.acc_seg: 92.1695, loss: 0.1954 +2023-03-05 02:48:48,070 - mmseg - INFO - Iter [76550/160000] lr: 1.875e-05, eta: 5:24:42, time: 0.193, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1919, decode.acc_seg: 92.0566, loss: 0.1919 +2023-03-05 02:48:57,651 - mmseg - INFO - Iter [76600/160000] lr: 1.875e-05, eta: 5:24:28, time: 0.192, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1884, decode.acc_seg: 92.2804, loss: 0.1884 +2023-03-05 02:49:07,432 - mmseg - INFO - Iter [76650/160000] lr: 1.875e-05, eta: 5:24:14, time: 0.196, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1826, decode.acc_seg: 92.4312, loss: 0.1826 +2023-03-05 02:49:16,926 - mmseg - INFO - Iter [76700/160000] lr: 1.875e-05, eta: 5:24:00, time: 0.190, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1822, decode.acc_seg: 92.4082, loss: 0.1822 +2023-03-05 02:49:26,758 - mmseg - INFO - Iter [76750/160000] lr: 1.875e-05, eta: 5:23:47, time: 0.197, data_time: 0.008, memory: 52540, decode.loss_ce: 0.1822, decode.acc_seg: 92.6516, loss: 0.1822 +2023-03-05 02:49:36,363 - mmseg - INFO - Iter [76800/160000] lr: 1.875e-05, eta: 5:23:33, time: 0.192, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1834, decode.acc_seg: 92.4008, loss: 0.1834 +2023-03-05 02:49:45,819 - mmseg - INFO - Iter [76850/160000] lr: 1.875e-05, eta: 5:23:19, time: 0.189, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1864, decode.acc_seg: 92.2814, loss: 0.1864 +2023-03-05 02:49:55,764 - mmseg - INFO - Iter [76900/160000] lr: 1.875e-05, eta: 5:23:05, time: 0.199, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1878, decode.acc_seg: 92.2587, loss: 0.1878 +2023-03-05 02:50:05,272 - mmseg - INFO - Iter [76950/160000] lr: 1.875e-05, eta: 5:22:51, time: 0.190, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1876, decode.acc_seg: 92.3883, loss: 0.1876 +2023-03-05 02:50:17,508 - mmseg - INFO - Exp name: ablation_segformer_mit_b2_segformer_head_unet_fc_small_multi_step_ade_pretrained_freeze_embed_160k_ade20k151_mask_finetune_maskonly.py +2023-03-05 02:50:17,508 - mmseg - INFO - Iter [77000/160000] lr: 1.875e-05, eta: 5:22:40, time: 0.245, data_time: 0.055, memory: 52540, decode.loss_ce: 0.1918, decode.acc_seg: 92.2312, loss: 0.1918 +2023-03-05 02:50:27,398 - mmseg - INFO - Iter [77050/160000] lr: 1.875e-05, eta: 5:22:26, time: 0.198, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1847, decode.acc_seg: 92.3761, loss: 0.1847 +2023-03-05 02:50:36,976 - mmseg - INFO - Iter [77100/160000] lr: 1.875e-05, eta: 5:22:13, time: 0.192, data_time: 0.008, memory: 52540, decode.loss_ce: 0.1865, decode.acc_seg: 92.4076, loss: 0.1865 +2023-03-05 02:50:46,641 - mmseg - INFO - Iter [77150/160000] lr: 1.875e-05, eta: 5:21:59, time: 0.193, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1905, decode.acc_seg: 92.1905, loss: 0.1905 +2023-03-05 02:50:56,526 - mmseg - INFO - Iter [77200/160000] lr: 1.875e-05, eta: 5:21:45, time: 0.197, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1856, decode.acc_seg: 92.3620, loss: 0.1856 +2023-03-05 02:51:06,134 - mmseg - INFO - Iter [77250/160000] lr: 1.875e-05, eta: 5:21:31, time: 0.192, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1889, decode.acc_seg: 92.3038, loss: 0.1889 +2023-03-05 02:51:15,918 - mmseg - INFO - Iter [77300/160000] lr: 1.875e-05, eta: 5:21:18, time: 0.196, data_time: 0.008, memory: 52540, decode.loss_ce: 0.1856, decode.acc_seg: 92.4634, loss: 0.1856 +2023-03-05 02:51:25,517 - mmseg - INFO - Iter [77350/160000] lr: 1.875e-05, eta: 5:21:04, time: 0.192, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1861, decode.acc_seg: 92.4425, loss: 0.1861 +2023-03-05 02:51:35,040 - mmseg - INFO - Iter [77400/160000] lr: 1.875e-05, eta: 5:20:50, time: 0.190, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1813, decode.acc_seg: 92.4699, loss: 0.1813 +2023-03-05 02:51:44,696 - mmseg - INFO - Iter [77450/160000] lr: 1.875e-05, eta: 5:20:36, time: 0.193, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1850, decode.acc_seg: 92.3258, loss: 0.1850 +2023-03-05 02:51:54,474 - mmseg - INFO - Iter [77500/160000] lr: 1.875e-05, eta: 5:20:22, time: 0.196, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1905, decode.acc_seg: 92.2703, loss: 0.1905 +2023-03-05 02:52:04,111 - mmseg - INFO - Iter [77550/160000] lr: 1.875e-05, eta: 5:20:09, time: 0.193, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1958, decode.acc_seg: 92.0098, loss: 0.1958 +2023-03-05 02:52:13,629 - mmseg - INFO - Iter [77600/160000] lr: 1.875e-05, eta: 5:19:55, time: 0.190, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1919, decode.acc_seg: 92.1453, loss: 0.1919 +2023-03-05 02:52:25,552 - mmseg - INFO - Iter [77650/160000] lr: 1.875e-05, eta: 5:19:43, time: 0.238, data_time: 0.053, memory: 52540, decode.loss_ce: 0.1836, decode.acc_seg: 92.4652, loss: 0.1836 +2023-03-05 02:52:35,062 - mmseg - INFO - Iter [77700/160000] lr: 1.875e-05, eta: 5:19:29, time: 0.190, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1823, decode.acc_seg: 92.5752, loss: 0.1823 +2023-03-05 02:52:45,055 - mmseg - INFO - Iter [77750/160000] lr: 1.875e-05, eta: 5:19:16, time: 0.200, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1835, decode.acc_seg: 92.4617, loss: 0.1835 +2023-03-05 02:52:54,591 - mmseg - INFO - Iter [77800/160000] lr: 1.875e-05, eta: 5:19:02, time: 0.191, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1946, decode.acc_seg: 92.0586, loss: 0.1946 +2023-03-05 02:53:04,266 - mmseg - INFO - Iter [77850/160000] lr: 1.875e-05, eta: 5:18:48, time: 0.193, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1961, decode.acc_seg: 91.9558, loss: 0.1961 +2023-03-05 02:53:13,900 - mmseg - INFO - Iter [77900/160000] lr: 1.875e-05, eta: 5:18:35, time: 0.193, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1879, decode.acc_seg: 92.2454, loss: 0.1879 +2023-03-05 02:53:23,699 - mmseg - INFO - Iter [77950/160000] lr: 1.875e-05, eta: 5:18:21, time: 0.196, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1908, decode.acc_seg: 92.1155, loss: 0.1908 +2023-03-05 02:53:33,134 - mmseg - INFO - Exp name: ablation_segformer_mit_b2_segformer_head_unet_fc_small_multi_step_ade_pretrained_freeze_embed_160k_ade20k151_mask_finetune_maskonly.py +2023-03-05 02:53:33,134 - mmseg - INFO - Iter [78000/160000] lr: 1.875e-05, eta: 5:18:07, time: 0.189, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1925, decode.acc_seg: 92.1612, loss: 0.1925 +2023-03-05 02:53:42,644 - mmseg - INFO - Iter [78050/160000] lr: 1.875e-05, eta: 5:17:53, time: 0.190, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1831, decode.acc_seg: 92.2729, loss: 0.1831 +2023-03-05 02:53:52,310 - mmseg - INFO - Iter [78100/160000] lr: 1.875e-05, eta: 5:17:40, time: 0.193, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1821, decode.acc_seg: 92.5831, loss: 0.1821 +2023-03-05 02:54:02,004 - mmseg - INFO - Iter [78150/160000] lr: 1.875e-05, eta: 5:17:26, time: 0.194, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1872, decode.acc_seg: 92.3747, loss: 0.1872 +2023-03-05 02:54:11,493 - mmseg - INFO - Iter [78200/160000] lr: 1.875e-05, eta: 5:17:12, time: 0.190, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1867, decode.acc_seg: 92.1860, loss: 0.1867 +2023-03-05 02:54:23,602 - mmseg - INFO - Iter [78250/160000] lr: 1.875e-05, eta: 5:17:01, time: 0.242, data_time: 0.054, memory: 52540, decode.loss_ce: 0.1924, decode.acc_seg: 92.0195, loss: 0.1924 +2023-03-05 02:54:33,108 - mmseg - INFO - Iter [78300/160000] lr: 1.875e-05, eta: 5:16:47, time: 0.190, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1806, decode.acc_seg: 92.5429, loss: 0.1806 +2023-03-05 02:54:42,665 - mmseg - INFO - Iter [78350/160000] lr: 1.875e-05, eta: 5:16:33, time: 0.191, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1862, decode.acc_seg: 92.3827, loss: 0.1862 +2023-03-05 02:54:52,178 - mmseg - INFO - Iter [78400/160000] lr: 1.875e-05, eta: 5:16:19, time: 0.190, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1827, decode.acc_seg: 92.4752, loss: 0.1827 +2023-03-05 02:55:01,748 - mmseg - INFO - Iter [78450/160000] lr: 1.875e-05, eta: 5:16:06, time: 0.192, data_time: 0.008, memory: 52540, decode.loss_ce: 0.1906, decode.acc_seg: 92.0733, loss: 0.1906 +2023-03-05 02:55:11,524 - mmseg - INFO - Iter [78500/160000] lr: 1.875e-05, eta: 5:15:52, time: 0.195, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1801, decode.acc_seg: 92.5423, loss: 0.1801 +2023-03-05 02:55:21,020 - mmseg - INFO - Iter [78550/160000] lr: 1.875e-05, eta: 5:15:38, time: 0.190, data_time: 0.008, memory: 52540, decode.loss_ce: 0.1861, decode.acc_seg: 92.4230, loss: 0.1861 +2023-03-05 02:55:30,579 - mmseg - INFO - Iter [78600/160000] lr: 1.875e-05, eta: 5:15:24, time: 0.191, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1903, decode.acc_seg: 92.3199, loss: 0.1903 +2023-03-05 02:55:40,355 - mmseg - INFO - Iter [78650/160000] lr: 1.875e-05, eta: 5:15:11, time: 0.195, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1891, decode.acc_seg: 92.2567, loss: 0.1891 +2023-03-05 02:55:50,063 - mmseg - INFO - Iter [78700/160000] lr: 1.875e-05, eta: 5:14:57, time: 0.194, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1909, decode.acc_seg: 92.3020, loss: 0.1909 +2023-03-05 02:55:59,583 - mmseg - INFO - Iter [78750/160000] lr: 1.875e-05, eta: 5:14:44, time: 0.190, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1854, decode.acc_seg: 92.4726, loss: 0.1854 +2023-03-05 02:56:09,126 - mmseg - INFO - Iter [78800/160000] lr: 1.875e-05, eta: 5:14:30, time: 0.191, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1860, decode.acc_seg: 92.3155, loss: 0.1860 +2023-03-05 02:56:18,983 - mmseg - INFO - Iter [78850/160000] lr: 1.875e-05, eta: 5:14:16, time: 0.197, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1926, decode.acc_seg: 92.0562, loss: 0.1926 +2023-03-05 02:56:31,006 - mmseg - INFO - Iter [78900/160000] lr: 1.875e-05, eta: 5:14:05, time: 0.240, data_time: 0.054, memory: 52540, decode.loss_ce: 0.1842, decode.acc_seg: 92.4971, loss: 0.1842 +2023-03-05 02:56:40,428 - mmseg - INFO - Iter [78950/160000] lr: 1.875e-05, eta: 5:13:51, time: 0.188, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1959, decode.acc_seg: 92.0435, loss: 0.1959 +2023-03-05 02:56:50,421 - mmseg - INFO - Exp name: ablation_segformer_mit_b2_segformer_head_unet_fc_small_multi_step_ade_pretrained_freeze_embed_160k_ade20k151_mask_finetune_maskonly.py +2023-03-05 02:56:50,421 - mmseg - INFO - Iter [79000/160000] lr: 1.875e-05, eta: 5:13:38, time: 0.200, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1910, decode.acc_seg: 92.0653, loss: 0.1910 +2023-03-05 02:56:59,843 - mmseg - INFO - Iter [79050/160000] lr: 1.875e-05, eta: 5:13:24, time: 0.188, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1850, decode.acc_seg: 92.4422, loss: 0.1850 +2023-03-05 02:57:09,439 - mmseg - INFO - Iter [79100/160000] lr: 1.875e-05, eta: 5:13:10, time: 0.192, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1904, decode.acc_seg: 92.2647, loss: 0.1904 +2023-03-05 02:57:18,896 - mmseg - INFO - Iter [79150/160000] lr: 1.875e-05, eta: 5:12:57, time: 0.189, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1850, decode.acc_seg: 92.4339, loss: 0.1850 +2023-03-05 02:57:28,486 - mmseg - INFO - Iter [79200/160000] lr: 1.875e-05, eta: 5:12:43, time: 0.192, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1873, decode.acc_seg: 92.1974, loss: 0.1873 +2023-03-05 02:57:38,203 - mmseg - INFO - Iter [79250/160000] lr: 1.875e-05, eta: 5:12:29, time: 0.194, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1878, decode.acc_seg: 92.2709, loss: 0.1878 +2023-03-05 02:57:47,850 - mmseg - INFO - Iter [79300/160000] lr: 1.875e-05, eta: 5:12:16, time: 0.193, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1761, decode.acc_seg: 92.7293, loss: 0.1761 +2023-03-05 02:57:57,564 - mmseg - INFO - Iter [79350/160000] lr: 1.875e-05, eta: 5:12:02, time: 0.194, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1897, decode.acc_seg: 92.2601, loss: 0.1897 +2023-03-05 02:58:07,224 - mmseg - INFO - Iter [79400/160000] lr: 1.875e-05, eta: 5:11:49, time: 0.193, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1947, decode.acc_seg: 92.2128, loss: 0.1947 +2023-03-05 02:58:16,741 - mmseg - INFO - Iter [79450/160000] lr: 1.875e-05, eta: 5:11:35, time: 0.191, data_time: 0.008, memory: 52540, decode.loss_ce: 0.1913, decode.acc_seg: 92.2255, loss: 0.1913 +2023-03-05 02:58:26,192 - mmseg - INFO - Iter [79500/160000] lr: 1.875e-05, eta: 5:11:21, time: 0.189, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1837, decode.acc_seg: 92.3356, loss: 0.1837 +2023-03-05 02:58:38,268 - mmseg - INFO - Iter [79550/160000] lr: 1.875e-05, eta: 5:11:10, time: 0.242, data_time: 0.054, memory: 52540, decode.loss_ce: 0.1903, decode.acc_seg: 92.2113, loss: 0.1903 +2023-03-05 02:58:47,812 - mmseg - INFO - Iter [79600/160000] lr: 1.875e-05, eta: 5:10:56, time: 0.191, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1870, decode.acc_seg: 92.3256, loss: 0.1870 +2023-03-05 02:58:57,375 - mmseg - INFO - Iter [79650/160000] lr: 1.875e-05, eta: 5:10:43, time: 0.191, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1864, decode.acc_seg: 92.2177, loss: 0.1864 +2023-03-05 02:59:06,907 - mmseg - INFO - Iter [79700/160000] lr: 1.875e-05, eta: 5:10:29, time: 0.191, data_time: 0.008, memory: 52540, decode.loss_ce: 0.1793, decode.acc_seg: 92.7418, loss: 0.1793 +2023-03-05 02:59:16,410 - mmseg - INFO - Iter [79750/160000] lr: 1.875e-05, eta: 5:10:15, time: 0.190, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1916, decode.acc_seg: 92.2025, loss: 0.1916 +2023-03-05 02:59:26,160 - mmseg - INFO - Iter [79800/160000] lr: 1.875e-05, eta: 5:10:02, time: 0.195, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1869, decode.acc_seg: 92.2131, loss: 0.1869 +2023-03-05 02:59:35,713 - mmseg - INFO - Iter [79850/160000] lr: 1.875e-05, eta: 5:09:48, time: 0.191, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1972, decode.acc_seg: 92.0849, loss: 0.1972 +2023-03-05 02:59:45,117 - mmseg - INFO - Iter [79900/160000] lr: 1.875e-05, eta: 5:09:34, time: 0.188, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1929, decode.acc_seg: 92.2482, loss: 0.1929 +2023-03-05 02:59:54,684 - mmseg - INFO - Iter [79950/160000] lr: 1.875e-05, eta: 5:09:21, time: 0.191, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1830, decode.acc_seg: 92.4692, loss: 0.1830 +2023-03-05 03:00:04,595 - mmseg - INFO - Swap parameters (after train) after iter [80000] +2023-03-05 03:00:04,608 - mmseg - INFO - Saving checkpoint at 80000 iterations +2023-03-05 03:00:05,702 - mmseg - INFO - Exp name: ablation_segformer_mit_b2_segformer_head_unet_fc_small_multi_step_ade_pretrained_freeze_embed_160k_ade20k151_mask_finetune_maskonly.py +2023-03-05 03:00:05,702 - mmseg - INFO - Iter [80000/160000] lr: 1.875e-05, eta: 5:09:09, time: 0.220, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1895, decode.acc_seg: 92.3667, loss: 0.1895 +2023-03-05 03:11:03,991 - mmseg - INFO - per class results: +2023-03-05 03:11:03,999 - mmseg - INFO - ++---------------------+-------------------------------------------------------------------+ +| Class | IoU 0,10,20,30,40,50,60,70,80,90,99 | ++---------------------+-------------------------------------------------------------------+ +| background | nan,nan,nan,nan,nan,nan,nan,nan,nan,nan,nan | +| wall | 77.28,77.49,77.51,77.51,77.5,77.49,77.49,77.5,77.49,77.49,77.47 | +| building | 81.69,81.7,81.7,81.7,81.7,81.7,81.7,81.7,81.7,81.7,81.7 | +| sky | 94.44,94.5,94.5,94.5,94.52,94.52,94.51,94.51,94.51,94.52,94.52 | +| floor | 81.6,81.89,81.9,81.9,81.9,81.91,81.9,81.9,81.89,81.89,81.94 | +| tree | 73.98,74.17,74.18,74.16,74.17,74.16,74.15,74.16,74.16,74.17,74.18 | +| ceiling | 85.12,85.44,85.43,85.43,85.45,85.46,85.45,85.44,85.44,85.44,85.45 | +| road | 82.11,82.12,82.13,82.14,82.14,82.13,82.13,82.13,82.11,82.1,82.18 | +| bed | 87.49,87.65,87.66,87.68,87.67,87.68,87.68,87.67,87.68,87.68,87.62 | +| windowpane | 60.56,60.92,60.93,60.97,60.97,60.97,60.96,60.94,60.97,60.96,61.01 | +| grass | 66.73,67.21,67.24,67.22,67.21,67.2,67.2,67.2,67.19,67.19,67.24 | +| cabinet | 59.99,60.87,60.87,60.88,60.89,60.89,60.9,60.9,60.9,60.9,60.79 | +| sidewalk | 64.21,64.1,64.15,64.13,64.13,64.13,64.14,64.1,64.06,64.05,64.13 | +| person | 79.64,79.74,79.75,79.74,79.75,79.76,79.75,79.74,79.76,79.75,79.75 | +| earth | 36.22,36.03,36.04,36.04,36.03,36.03,36.04,36.04,36.04,36.05,36.05 | +| door | 46.0,46.05,46.04,46.02,46.02,46.02,46.03,46.01,46.0,45.99,45.97 | +| table | 61.01,61.25,61.23,61.21,61.23,61.23,61.22,61.21,61.22,61.2,61.18 | +| mountain | 56.46,57.05,57.29,57.33,57.33,57.34,57.36,57.37,57.32,57.25,57.27 | +| plant | 49.89,50.02,50.05,50.06,50.08,50.08,50.06,50.05,50.05,50.04,50.13 | +| curtain | 73.52,74.05,74.2,74.25,74.25,74.26,74.25,74.23,74.24,74.24,74.01 | +| chair | 56.31,56.64,56.65,56.63,56.65,56.64,56.63,56.62,56.64,56.63,56.71 | +| car | 82.22,82.46,82.45,82.45,82.45,82.45,82.45,82.45,82.45,82.45,82.46 | +| water | 57.61,57.79,57.79,57.78,57.78,57.79,57.79,57.78,57.77,57.77,57.73 | +| painting | 70.74,70.45,70.43,70.4,70.38,70.38,70.38,70.39,70.41,70.41,70.45 | +| sofa | 64.12,64.88,64.89,64.92,64.92,64.93,64.93,64.94,64.93,64.92,64.98 | +| shelf | 44.07,44.24,44.26,44.27,44.29,44.3,44.32,44.32,44.33,44.32,44.29 | +| house | 43.33,43.16,43.15,43.14,43.14,43.13,43.12,43.13,43.1,43.09,43.34 | +| sea | 59.98,60.59,60.59,60.58,60.58,60.58,60.6,60.59,60.58,60.59,60.6 | +| mirror | 65.67,65.69,65.68,65.66,65.67,65.67,65.67,65.66,65.66,65.66,65.89 | +| rug | 64.53,65.5,65.5,65.45,65.48,65.53,65.51,65.52,65.52,65.51,65.57 | +| field | 30.32,30.29,30.29,30.3,30.27,30.28,30.28,30.28,30.28,30.28,30.33 | +| armchair | 37.17,37.99,38.03,38.05,38.04,38.04,38.03,38.03,38.05,38.02,38.18 | +| seat | 65.93,66.35,66.43,66.44,66.43,66.44,66.43,66.4,66.4,66.39,66.73 | +| fence | 41.36,40.92,40.92,40.91,40.92,40.94,40.91,40.9,40.92,40.92,40.91 | +| desk | 47.06,47.12,47.1,47.11,47.09,47.07,47.1,47.09,47.1,47.09,47.08 | +| rock | 37.4,37.5,37.52,37.53,37.53,37.52,37.52,37.52,37.53,37.53,37.58 | +| wardrobe | 56.7,57.48,57.52,57.51,57.56,57.52,57.52,57.51,57.52,57.53,57.47 | +| lamp | 62.16,63.02,63.02,63.04,63.02,63.02,63.05,63.01,63.03,63.02,62.93 | +| bathtub | 76.12,77.22,77.21,77.21,77.43,77.6,77.54,77.56,77.41,77.28,77.52 | +| railing | 32.85,33.08,33.09,33.12,33.09,33.09,33.12,33.12,33.13,33.13,33.14 | +| cushion | 56.6,57.17,57.14,57.18,57.18,57.22,57.19,57.17,57.18,57.16,57.35 | +| base | 18.36,21.57,21.58,21.6,21.54,21.63,21.52,21.47,21.47,21.46,21.32 | +| box | 24.16,24.72,24.77,24.78,24.78,24.8,24.8,24.77,24.78,24.78,24.89 | +| column | 46.47,47.16,47.18,47.18,47.19,47.2,47.21,47.2,47.21,47.21,47.01 | +| signboard | 38.08,38.07,38.08,38.07,38.06,38.08,38.06,38.04,38.07,38.06,38.16 | +| chest of drawers | 36.19,37.07,37.61,37.75,37.78,37.8,37.77,37.75,37.74,37.75,37.76 | +| counter | 30.72,30.5,30.55,30.41,30.38,30.41,30.42,30.38,30.39,30.39,30.32 | +| sand | 41.71,41.18,41.21,41.19,41.18,41.17,41.18,41.18,41.18,41.18,41.13 | +| sink | 68.0,68.43,68.43,68.39,68.38,68.38,68.35,68.36,68.36,68.36,68.24 | +| skyscraper | 53.66,49.58,49.59,49.53,49.52,49.56,49.51,49.56,49.46,49.48,49.37 | +| fireplace | 74.33,74.52,74.55,74.59,74.6,74.63,74.63,74.62,74.64,74.62,75.03 | +| refrigerator | 75.23,76.29,76.33,76.39,76.34,76.2,76.15,76.24,76.29,76.34,75.93 | +| grandstand | 54.05,55.39,55.52,55.6,55.54,55.57,55.54,55.59,55.56,55.54,55.36 | +| path | 21.53,22.01,22.04,22.07,22.05,22.03,22.04,22.05,22.08,22.06,21.94 | +| stairs | 34.59,32.8,33.03,32.95,32.9,32.93,32.97,32.98,32.98,32.97,32.91 | +| runway | 67.95,68.18,68.18,68.18,68.18,68.19,68.19,68.18,68.19,68.18,68.17 | +| case | 46.22,46.67,46.77,46.97,46.95,46.93,46.97,46.96,46.91,46.92,46.89 | +| pool table | 91.65,91.71,91.71,91.72,91.7,91.72,91.69,91.7,91.69,91.69,91.72 | +| pillow | 60.35,62.97,62.97,63.0,62.97,63.03,63.01,62.96,62.96,63.0,63.05 | +| screen door | 66.9,67.49,67.41,67.62,67.58,67.68,67.7,67.69,67.84,67.61,67.46 | +| stairway | 22.95,22.06,22.07,22.02,22.01,21.98,21.96,21.97,21.95,21.96,21.88 | +| river | 12.36,12.12,12.1,12.11,12.12,12.12,12.11,12.1,12.1,12.11,12.13 | +| bridge | 31.59,31.58,31.57,31.52,31.57,31.63,31.52,31.56,31.57,31.55,31.68 | +| bookcase | 46.64,46.77,46.67,46.69,46.68,46.66,46.72,46.74,46.73,46.72,46.63 | +| blind | 40.01,40.66,40.78,41.06,41.08,41.09,40.94,40.86,40.94,40.99,41.12 | +| coffee table | 53.48,53.04,53.04,53.0,53.02,52.99,53.0,53.01,53.01,53.02,53.02 | +| toilet | 83.32,83.22,83.24,83.24,83.26,83.26,83.23,83.25,83.23,83.26,83.2 | +| flower | 38.89,38.95,38.97,38.91,38.95,38.95,38.94,38.96,38.93,38.91,38.95 | +| book | 45.81,45.85,45.84,45.82,45.81,45.83,45.84,45.88,45.87,45.87,45.82 | +| hill | 16.15,16.57,16.56,16.57,16.59,16.6,16.6,16.6,16.59,16.59,16.67 | +| bench | 44.03,43.22,42.98,43.05,43.06,43.02,42.98,42.96,42.94,42.98,43.06 | +| countertop | 53.77,53.63,53.55,53.6,53.62,53.59,53.6,53.63,53.6,53.61,53.68 | +| stove | 71.62,71.27,71.26,71.25,71.23,71.22,71.21,71.24,71.25,71.23,71.27 | +| palm | 46.91,46.83,46.87,46.86,46.86,46.84,46.87,46.87,46.86,46.87,46.82 | +| kitchen island | 41.76,45.07,45.19,45.28,45.28,45.23,45.22,45.26,45.3,45.37,45.35 | +| computer | 59.62,59.53,59.52,59.51,59.52,59.5,59.53,59.5,59.5,59.5,59.51 | +| swivel chair | 43.93,44.68,44.64,44.67,44.68,44.68,44.61,44.63,44.67,44.64,44.99 | +| boat | 68.71,70.13,70.22,70.28,70.3,70.23,70.28,70.26,70.24,70.24,70.3 | +| bar | 23.93,24.41,24.45,24.45,24.46,24.46,24.45,24.46,24.44,24.43,24.42 | +| arcade machine | 68.33,70.67,70.92,70.92,70.94,70.99,70.84,70.84,70.69,70.56,70.83 | +| hovel | 35.02,32.55,32.57,32.5,32.47,32.44,32.43,32.45,32.37,32.38,32.11 | +| bus | 77.74,78.94,78.96,78.98,79.01,78.95,79.15,79.3,79.31,79.3,79.42 | +| towel | 62.29,63.13,63.15,63.15,63.18,63.18,63.19,63.18,63.17,63.14,63.25 | +| light | 55.88,56.33,56.25,56.28,56.25,56.26,56.22,56.2,56.23,56.25,56.36 | +| truck | 17.36,17.95,17.79,17.82,17.8,17.8,17.83,17.82,17.79,17.85,18.07 | +| tower | 6.43,6.51,6.53,6.55,6.57,6.58,6.54,6.54,6.55,6.54,6.7 | +| chandelier | 65.5,67.87,67.85,67.88,67.95,67.86,67.87,67.86,67.87,67.88,67.8 | +| awning | 21.54,23.56,23.63,23.61,23.66,23.71,23.69,23.73,23.7,23.73,23.66 | +| streetlight | 27.1,27.6,27.68,27.57,27.53,27.6,27.67,27.55,27.56,27.66,27.73 | +| booth | 41.03,43.22,43.26,43.29,43.28,43.27,43.3,43.3,43.3,43.29,43.3 | +| television receiver | 65.28,65.3,65.22,65.13,65.2,65.21,65.19,65.21,65.2,65.21,65.25 | +| airplane | 57.86,58.27,58.3,58.34,58.3,58.28,58.29,58.31,58.32,58.26,58.24 | +| dirt track | 16.52,18.0,17.95,17.99,18.05,18.0,18.13,18.14,18.1,18.12,18.41 | +| apparel | 35.46,35.71,35.75,35.67,35.71,35.66,35.67,35.68,35.68,35.68,35.97 | +| pole | 18.51,19.54,19.63,19.47,19.45,19.43,19.42,19.3,19.45,19.52,20.09 | +| land | 4.45,4.39,4.45,4.47,4.39,4.41,4.37,4.43,4.48,4.47,4.4 | +| bannister | 12.67,13.03,13.04,13.01,12.97,12.99,12.93,12.91,12.93,12.94,13.14 | +| escalator | 24.53,25.01,25.06,25.06,25.03,25.06,25.05,25.06,25.06,25.08,25.03 | +| ottoman | 40.66,40.24,40.15,40.17,40.14,40.15,40.22,40.18,40.25,40.23,39.96 | +| bottle | 35.78,36.3,36.23,36.36,36.25,36.33,36.27,36.29,36.3,36.24,36.42 | +| buffet | 36.94,38.57,38.4,38.51,38.43,38.46,38.45,38.38,38.4,38.46,37.46 | +| poster | 22.36,21.5,21.47,21.48,21.46,21.48,21.46,21.49,21.47,21.48,21.51 | +| stage | 13.48,14.33,14.35,14.39,14.39,14.37,14.39,14.39,14.39,14.4,14.36 | +| van | 37.79,38.49,38.52,38.54,38.49,38.48,38.53,38.52,38.51,38.52,38.69 | +| ship | 78.28,80.15,79.97,79.88,79.51,79.29,79.4,79.36,79.31,79.37,79.62 | +| fountain | 16.54,21.15,21.11,21.18,21.15,21.17,21.1,21.13,21.19,21.16,21.05 | +| conveyer belt | 85.08,84.84,84.96,84.86,84.84,84.8,84.88,84.79,84.87,84.81,84.71 | +| canopy | 26.21,25.65,25.59,25.56,25.56,25.64,25.44,25.33,25.33,25.49,25.57 | +| washer | 77.9,78.79,78.65,78.73,78.72,78.65,78.57,78.53,78.6,78.53,78.48 | +| plaything | 21.18,21.29,21.28,21.3,21.33,21.31,21.31,21.31,21.32,21.31,21.27 | +| swimming pool | 73.74,76.48,76.68,76.79,76.77,76.77,76.7,76.73,76.74,76.76,76.6 | +| stool | 44.46,45.94,46.15,46.06,46.17,46.16,46.17,46.18,46.09,46.1,46.15 | +| barrel | 45.37,46.08,45.97,46.12,46.12,46.21,45.8,46.25,46.28,46.18,51.21 | +| basket | 24.72,24.91,24.9,24.84,24.85,24.85,24.86,24.8,24.81,24.85,25.06 | +| waterfall | 50.64,49.62,49.49,49.46,49.39,49.43,49.41,49.42,49.43,49.42,49.58 | +| tent | 94.71,94.67,94.69,94.68,94.67,94.65,94.68,94.68,94.67,94.66,94.68 | +| bag | 15.08,15.49,15.51,15.47,15.45,15.47,15.49,15.46,15.46,15.46,15.55 | +| minibike | 62.88,63.31,63.4,63.38,63.43,63.41,63.4,63.4,63.4,63.39,63.36 | +| cradle | 85.19,85.92,85.9,85.91,85.89,85.9,85.92,85.91,85.9,85.9,85.88 | +| oven | 44.47,45.96,45.96,45.97,45.99,45.98,46.0,46.0,46.02,46.0,45.77 | +| ball | 41.59,42.75,42.85,42.83,42.85,42.85,42.78,42.81,42.78,42.84,42.92 | +| food | 53.01,53.01,53.14,53.09,53.08,53.09,53.12,53.09,53.09,53.12,52.89 | +| step | 5.81,6.22,6.2,6.18,6.14,6.16,6.1,6.1,6.08,6.1,6.03 | +| tank | 49.36,47.48,47.51,47.69,47.58,47.66,47.64,47.59,47.53,47.5,47.52 | +| trade name | 27.13,27.92,27.9,27.82,27.79,27.85,27.78,27.83,27.8,27.85,28.08 | +| microwave | 70.02,71.04,71.03,71.04,71.06,71.04,71.08,71.06,71.08,71.05,71.0 | +| pot | 31.34,31.36,31.4,31.38,31.36,31.34,31.34,31.29,31.3,31.41,31.23 | +| animal | 54.61,55.56,55.55,55.55,55.55,55.54,55.58,55.55,55.52,55.56,55.56 | +| bicycle | 53.43,54.37,54.59,54.43,54.39,54.43,54.41,54.43,54.46,54.42,54.72 | +| lake | 57.95,57.72,57.71,57.72,57.72,57.72,57.72,57.72,57.72,57.72,57.81 | +| dishwasher | 67.05,68.14,68.17,68.19,68.24,68.17,68.06,68.2,68.16,68.08,68.4 | +| screen | 68.4,65.82,65.71,65.78,65.9,65.87,65.74,65.78,65.94,65.83,65.81 | +| blanket | 20.34,21.17,21.14,21.05,20.96,21.04,21.08,21.06,21.04,21.06,21.24 | +| sculpture | 57.56,57.44,57.3,57.34,57.44,57.35,57.38,57.43,57.47,57.34,57.31 | +| hood | 59.78,59.7,59.55,59.58,59.66,59.65,59.61,59.61,59.66,59.65,59.65 | +| sconce | 43.27,43.85,43.89,43.89,43.84,43.86,43.91,43.9,43.88,43.87,43.66 | +| vase | 37.81,38.71,38.73,38.79,38.76,38.77,38.69,38.73,38.69,38.81,38.8 | +| traffic light | 33.73,34.17,34.36,34.21,34.25,34.27,34.29,34.24,34.25,34.34,33.93 | +| tray | 9.06,8.49,8.61,8.55,8.51,8.48,8.47,8.48,8.48,8.5,8.31 | +| ashcan | 40.82,40.48,40.37,40.48,40.51,40.52,40.59,40.68,40.61,40.64,40.66 | +| fan | 57.7,58.45,58.33,58.36,58.36,58.4,58.36,58.33,58.41,58.41,58.59 | +| pier | 50.17,50.84,49.51,49.86,50.09,50.6,50.85,50.81,50.8,50.75,49.51 | +| crt screen | 8.99,11.32,11.39,11.44,11.46,11.47,11.48,11.48,11.45,11.47,11.41 | +| plate | 52.68,52.92,52.9,52.89,52.93,52.93,52.95,52.98,52.95,52.94,53.0 | +| monitor | 30.2,29.13,29.54,29.75,30.21,30.4,30.13,30.34,30.43,30.31,29.44 | +| bulletin board | 36.54,37.45,37.55,37.62,37.64,37.6,37.57,37.58,37.59,37.63,37.44 | +| shower | 1.54,1.59,1.64,1.57,1.56,1.56,1.58,1.56,1.57,1.57,1.63 | +| radiator | 63.61,65.87,66.08,66.05,66.09,66.12,66.12,66.03,66.06,66.1,65.92 | +| glass | 14.1,13.49,13.55,13.47,13.48,13.5,13.52,13.49,13.46,13.47,13.51 | +| clock | 37.89,37.35,37.26,37.34,37.28,37.28,37.13,37.18,37.18,37.13,37.21 | +| flag | 35.98,36.05,36.02,36.04,36.01,36.04,36.03,36.02,36.01,36.03,36.06 | ++---------------------+-------------------------------------------------------------------+ +2023-03-05 03:11:03,999 - mmseg - INFO - Summary: +2023-03-05 03:11:03,999 - mmseg - INFO - ++-------------------------------------------------------------------+ +| mIoU 0,10,20,30,40,50,60,70,80,90,99 | ++-------------------------------------------------------------------+ +| 48.56,48.97,48.97,48.98,48.99,48.99,48.98,48.99,48.99,48.99,49.02 | ++-------------------------------------------------------------------+ +2023-03-05 03:11:04,034 - mmseg - INFO - The previous best checkpoint /mnt/petrelfs/laizeqiang/mmseg-baseline/work_dirs2/ablation_segformer_mit_b2_segformer_head_unet_fc_small_multi_step_ade_pretrained_freeze_embed_160k_ade20k151_mask_finetune_maskonly/best_mIoU_iter_64000.pth was removed +2023-03-05 03:11:04,982 - mmseg - INFO - Now best checkpoint is saved as best_mIoU_iter_80000.pth. +2023-03-05 03:11:04,983 - mmseg - INFO - Best mIoU is 0.4902 at 80000 iter. +2023-03-05 03:11:04,983 - mmseg - INFO - Exp name: ablation_segformer_mit_b2_segformer_head_unet_fc_small_multi_step_ade_pretrained_freeze_embed_160k_ade20k151_mask_finetune_maskonly.py +2023-03-05 03:11:04,983 - mmseg - INFO - Iter(val) [250] mIoU: [0.4856, 0.4897, 0.4897, 0.4898, 0.4899, 0.4899, 0.4898, 0.4899, 0.4899, 0.4899, 0.4902], copy_paste: 48.56,48.97,48.97,48.98,48.99,48.99,48.98,48.99,48.99,48.99,49.02 +2023-03-05 03:11:04,990 - mmseg - INFO - Swap parameters (before train) before iter [80001] +2023-03-05 03:11:14,855 - mmseg - INFO - Iter [80050/160000] lr: 9.375e-06, eta: 5:19:54, time: 13.383, data_time: 13.193, memory: 52540, decode.loss_ce: 0.1852, decode.acc_seg: 92.3869, loss: 0.1852 +2023-03-05 03:11:24,714 - mmseg - INFO - Iter [80100/160000] lr: 9.375e-06, eta: 5:19:40, time: 0.197, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1981, decode.acc_seg: 91.8075, loss: 0.1981 +2023-03-05 03:11:37,163 - mmseg - INFO - Iter [80150/160000] lr: 9.375e-06, eta: 5:19:28, time: 0.249, data_time: 0.057, memory: 52540, decode.loss_ce: 0.1869, decode.acc_seg: 92.3564, loss: 0.1869 +2023-03-05 03:11:46,630 - mmseg - INFO - Iter [80200/160000] lr: 9.375e-06, eta: 5:19:14, time: 0.189, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1873, decode.acc_seg: 92.4111, loss: 0.1873 +2023-03-05 03:11:56,214 - mmseg - INFO - Iter [80250/160000] lr: 9.375e-06, eta: 5:18:59, time: 0.192, data_time: 0.008, memory: 52540, decode.loss_ce: 0.1901, decode.acc_seg: 92.2893, loss: 0.1901 +2023-03-05 03:12:05,895 - mmseg - INFO - Iter [80300/160000] lr: 9.375e-06, eta: 5:18:45, time: 0.194, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1909, decode.acc_seg: 92.1947, loss: 0.1909 +2023-03-05 03:12:15,448 - mmseg - INFO - Iter [80350/160000] lr: 9.375e-06, eta: 5:18:30, time: 0.191, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1881, decode.acc_seg: 92.3844, loss: 0.1881 +2023-03-05 03:12:24,998 - mmseg - INFO - Iter [80400/160000] lr: 9.375e-06, eta: 5:18:16, time: 0.191, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1838, decode.acc_seg: 92.4008, loss: 0.1838 +2023-03-05 03:12:35,041 - mmseg - INFO - Iter [80450/160000] lr: 9.375e-06, eta: 5:18:02, time: 0.201, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1862, decode.acc_seg: 92.4330, loss: 0.1862 +2023-03-05 03:12:44,822 - mmseg - INFO - Iter [80500/160000] lr: 9.375e-06, eta: 5:17:48, time: 0.196, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1824, decode.acc_seg: 92.4185, loss: 0.1824 +2023-03-05 03:12:54,524 - mmseg - INFO - Iter [80550/160000] lr: 9.375e-06, eta: 5:17:34, time: 0.194, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1867, decode.acc_seg: 92.3826, loss: 0.1867 +2023-03-05 03:13:04,076 - mmseg - INFO - Iter [80600/160000] lr: 9.375e-06, eta: 5:17:19, time: 0.191, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1852, decode.acc_seg: 92.3373, loss: 0.1852 +2023-03-05 03:13:13,675 - mmseg - INFO - Iter [80650/160000] lr: 9.375e-06, eta: 5:17:05, time: 0.192, data_time: 0.008, memory: 52540, decode.loss_ce: 0.1899, decode.acc_seg: 92.1877, loss: 0.1899 +2023-03-05 03:13:23,322 - mmseg - INFO - Iter [80700/160000] lr: 9.375e-06, eta: 5:16:51, time: 0.193, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1910, decode.acc_seg: 92.3096, loss: 0.1910 +2023-03-05 03:13:33,068 - mmseg - INFO - Iter [80750/160000] lr: 9.375e-06, eta: 5:16:36, time: 0.195, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1892, decode.acc_seg: 92.3078, loss: 0.1892 +2023-03-05 03:13:45,092 - mmseg - INFO - Iter [80800/160000] lr: 9.375e-06, eta: 5:16:24, time: 0.240, data_time: 0.055, memory: 52540, decode.loss_ce: 0.1820, decode.acc_seg: 92.5121, loss: 0.1820 +2023-03-05 03:13:54,661 - mmseg - INFO - Iter [80850/160000] lr: 9.375e-06, eta: 5:16:10, time: 0.192, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1894, decode.acc_seg: 92.3240, loss: 0.1894 +2023-03-05 03:14:04,670 - mmseg - INFO - Iter [80900/160000] lr: 9.375e-06, eta: 5:15:56, time: 0.200, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1852, decode.acc_seg: 92.5067, loss: 0.1852 +2023-03-05 03:14:14,291 - mmseg - INFO - Iter [80950/160000] lr: 9.375e-06, eta: 5:15:42, time: 0.193, data_time: 0.008, memory: 52540, decode.loss_ce: 0.1776, decode.acc_seg: 92.7885, loss: 0.1776 +2023-03-05 03:14:24,215 - mmseg - INFO - Exp name: ablation_segformer_mit_b2_segformer_head_unet_fc_small_multi_step_ade_pretrained_freeze_embed_160k_ade20k151_mask_finetune_maskonly.py +2023-03-05 03:14:24,215 - mmseg - INFO - Iter [81000/160000] lr: 9.375e-06, eta: 5:15:28, time: 0.198, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1799, decode.acc_seg: 92.5816, loss: 0.1799 +2023-03-05 03:14:33,920 - mmseg - INFO - Iter [81050/160000] lr: 9.375e-06, eta: 5:15:14, time: 0.194, data_time: 0.008, memory: 52540, decode.loss_ce: 0.1867, decode.acc_seg: 92.3466, loss: 0.1867 +2023-03-05 03:14:43,554 - mmseg - INFO - Iter [81100/160000] lr: 9.375e-06, eta: 5:14:59, time: 0.193, data_time: 0.008, memory: 52540, decode.loss_ce: 0.1877, decode.acc_seg: 92.3365, loss: 0.1877 +2023-03-05 03:14:53,427 - mmseg - INFO - Iter [81150/160000] lr: 9.375e-06, eta: 5:14:45, time: 0.197, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1867, decode.acc_seg: 92.3516, loss: 0.1867 +2023-03-05 03:15:03,043 - mmseg - INFO - Iter [81200/160000] lr: 9.375e-06, eta: 5:14:31, time: 0.192, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1763, decode.acc_seg: 92.7497, loss: 0.1763 +2023-03-05 03:15:12,729 - mmseg - INFO - Iter [81250/160000] lr: 9.375e-06, eta: 5:14:17, time: 0.194, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1794, decode.acc_seg: 92.6194, loss: 0.1794 +2023-03-05 03:15:22,195 - mmseg - INFO - Iter [81300/160000] lr: 9.375e-06, eta: 5:14:03, time: 0.189, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1874, decode.acc_seg: 92.1716, loss: 0.1874 +2023-03-05 03:15:31,862 - mmseg - INFO - Iter [81350/160000] lr: 9.375e-06, eta: 5:13:48, time: 0.193, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1960, decode.acc_seg: 92.0046, loss: 0.1960 +2023-03-05 03:15:43,921 - mmseg - INFO - Iter [81400/160000] lr: 9.375e-06, eta: 5:13:36, time: 0.241, data_time: 0.054, memory: 52540, decode.loss_ce: 0.1945, decode.acc_seg: 92.0947, loss: 0.1945 +2023-03-05 03:15:53,576 - mmseg - INFO - Iter [81450/160000] lr: 9.375e-06, eta: 5:13:22, time: 0.193, data_time: 0.008, memory: 52540, decode.loss_ce: 0.1932, decode.acc_seg: 92.1317, loss: 0.1932 +2023-03-05 03:16:03,037 - mmseg - INFO - Iter [81500/160000] lr: 9.375e-06, eta: 5:13:08, time: 0.189, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1828, decode.acc_seg: 92.4613, loss: 0.1828 +2023-03-05 03:16:12,514 - mmseg - INFO - Iter [81550/160000] lr: 9.375e-06, eta: 5:12:54, time: 0.190, data_time: 0.008, memory: 52540, decode.loss_ce: 0.1824, decode.acc_seg: 92.5181, loss: 0.1824 +2023-03-05 03:16:22,084 - mmseg - INFO - Iter [81600/160000] lr: 9.375e-06, eta: 5:12:39, time: 0.191, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1839, decode.acc_seg: 92.4372, loss: 0.1839 +2023-03-05 03:16:31,867 - mmseg - INFO - Iter [81650/160000] lr: 9.375e-06, eta: 5:12:25, time: 0.196, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1886, decode.acc_seg: 92.2213, loss: 0.1886 +2023-03-05 03:16:41,499 - mmseg - INFO - Iter [81700/160000] lr: 9.375e-06, eta: 5:12:11, time: 0.193, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1819, decode.acc_seg: 92.4979, loss: 0.1819 +2023-03-05 03:16:50,962 - mmseg - INFO - Iter [81750/160000] lr: 9.375e-06, eta: 5:11:57, time: 0.189, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1896, decode.acc_seg: 92.2167, loss: 0.1896 +2023-03-05 03:17:00,506 - mmseg - INFO - Iter [81800/160000] lr: 9.375e-06, eta: 5:11:42, time: 0.191, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1808, decode.acc_seg: 92.5854, loss: 0.1808 +2023-03-05 03:17:10,544 - mmseg - INFO - Iter [81850/160000] lr: 9.375e-06, eta: 5:11:29, time: 0.201, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1790, decode.acc_seg: 92.6391, loss: 0.1790 +2023-03-05 03:17:20,615 - mmseg - INFO - Iter [81900/160000] lr: 9.375e-06, eta: 5:11:15, time: 0.201, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1945, decode.acc_seg: 91.9979, loss: 0.1945 +2023-03-05 03:17:30,238 - mmseg - INFO - Iter [81950/160000] lr: 9.375e-06, eta: 5:11:01, time: 0.192, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1919, decode.acc_seg: 92.0899, loss: 0.1919 +2023-03-05 03:17:39,936 - mmseg - INFO - Exp name: ablation_segformer_mit_b2_segformer_head_unet_fc_small_multi_step_ade_pretrained_freeze_embed_160k_ade20k151_mask_finetune_maskonly.py +2023-03-05 03:17:39,936 - mmseg - INFO - Iter [82000/160000] lr: 9.375e-06, eta: 5:10:47, time: 0.194, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1817, decode.acc_seg: 92.4549, loss: 0.1817 +2023-03-05 03:17:52,102 - mmseg - INFO - Iter [82050/160000] lr: 9.375e-06, eta: 5:10:35, time: 0.243, data_time: 0.056, memory: 52540, decode.loss_ce: 0.1844, decode.acc_seg: 92.5085, loss: 0.1844 +2023-03-05 03:18:01,706 - mmseg - INFO - Iter [82100/160000] lr: 9.375e-06, eta: 5:10:21, time: 0.192, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1893, decode.acc_seg: 92.2172, loss: 0.1893 +2023-03-05 03:18:11,451 - mmseg - INFO - Iter [82150/160000] lr: 9.375e-06, eta: 5:10:07, time: 0.195, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1832, decode.acc_seg: 92.5058, loss: 0.1832 +2023-03-05 03:18:20,947 - mmseg - INFO - Iter [82200/160000] lr: 9.375e-06, eta: 5:09:52, time: 0.190, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1800, decode.acc_seg: 92.6304, loss: 0.1800 +2023-03-05 03:18:30,473 - mmseg - INFO - Iter [82250/160000] lr: 9.375e-06, eta: 5:09:38, time: 0.191, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1829, decode.acc_seg: 92.4029, loss: 0.1829 +2023-03-05 03:18:40,062 - mmseg - INFO - Iter [82300/160000] lr: 9.375e-06, eta: 5:09:24, time: 0.192, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1825, decode.acc_seg: 92.5573, loss: 0.1825 +2023-03-05 03:18:49,524 - mmseg - INFO - Iter [82350/160000] lr: 9.375e-06, eta: 5:09:10, time: 0.189, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1867, decode.acc_seg: 92.2287, loss: 0.1867 +2023-03-05 03:18:59,133 - mmseg - INFO - Iter [82400/160000] lr: 9.375e-06, eta: 5:08:55, time: 0.192, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1910, decode.acc_seg: 92.2650, loss: 0.1910 +2023-03-05 03:19:08,776 - mmseg - INFO - Iter [82450/160000] lr: 9.375e-06, eta: 5:08:41, time: 0.193, data_time: 0.008, memory: 52540, decode.loss_ce: 0.1850, decode.acc_seg: 92.3521, loss: 0.1850 +2023-03-05 03:19:18,387 - mmseg - INFO - Iter [82500/160000] lr: 9.375e-06, eta: 5:08:27, time: 0.192, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1934, decode.acc_seg: 92.1114, loss: 0.1934 +2023-03-05 03:19:28,073 - mmseg - INFO - Iter [82550/160000] lr: 9.375e-06, eta: 5:08:13, time: 0.194, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1827, decode.acc_seg: 92.4562, loss: 0.1827 +2023-03-05 03:19:37,624 - mmseg - INFO - Iter [82600/160000] lr: 9.375e-06, eta: 5:07:59, time: 0.191, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1874, decode.acc_seg: 92.3668, loss: 0.1874 +2023-03-05 03:19:47,511 - mmseg - INFO - Iter [82650/160000] lr: 9.375e-06, eta: 5:07:45, time: 0.198, data_time: 0.008, memory: 52540, decode.loss_ce: 0.1827, decode.acc_seg: 92.5653, loss: 0.1827 +2023-03-05 03:19:59,547 - mmseg - INFO - Iter [82700/160000] lr: 9.375e-06, eta: 5:07:33, time: 0.241, data_time: 0.054, memory: 52540, decode.loss_ce: 0.1870, decode.acc_seg: 92.3770, loss: 0.1870 +2023-03-05 03:20:08,979 - mmseg - INFO - Iter [82750/160000] lr: 9.375e-06, eta: 5:07:19, time: 0.189, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1833, decode.acc_seg: 92.4513, loss: 0.1833 +2023-03-05 03:20:18,793 - mmseg - INFO - Iter [82800/160000] lr: 9.375e-06, eta: 5:07:05, time: 0.196, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1853, decode.acc_seg: 92.3304, loss: 0.1853 +2023-03-05 03:20:28,522 - mmseg - INFO - Iter [82850/160000] lr: 9.375e-06, eta: 5:06:51, time: 0.195, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1876, decode.acc_seg: 92.3470, loss: 0.1876 +2023-03-05 03:20:38,409 - mmseg - INFO - Iter [82900/160000] lr: 9.375e-06, eta: 5:06:37, time: 0.198, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1936, decode.acc_seg: 92.0833, loss: 0.1936 +2023-03-05 03:20:47,947 - mmseg - INFO - Iter [82950/160000] lr: 9.375e-06, eta: 5:06:23, time: 0.191, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1887, decode.acc_seg: 92.3197, loss: 0.1887 +2023-03-05 03:20:57,569 - mmseg - INFO - Exp name: ablation_segformer_mit_b2_segformer_head_unet_fc_small_multi_step_ade_pretrained_freeze_embed_160k_ade20k151_mask_finetune_maskonly.py +2023-03-05 03:20:57,569 - mmseg - INFO - Iter [83000/160000] lr: 9.375e-06, eta: 5:06:09, time: 0.192, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1839, decode.acc_seg: 92.4938, loss: 0.1839 +2023-03-05 03:21:07,019 - mmseg - INFO - Iter [83050/160000] lr: 9.375e-06, eta: 5:05:55, time: 0.189, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1822, decode.acc_seg: 92.5583, loss: 0.1822 +2023-03-05 03:21:16,519 - mmseg - INFO - Iter [83100/160000] lr: 9.375e-06, eta: 5:05:41, time: 0.190, data_time: 0.008, memory: 52540, decode.loss_ce: 0.1801, decode.acc_seg: 92.6281, loss: 0.1801 +2023-03-05 03:21:26,174 - mmseg - INFO - Iter [83150/160000] lr: 9.375e-06, eta: 5:05:27, time: 0.193, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1954, decode.acc_seg: 92.1765, loss: 0.1954 +2023-03-05 03:21:35,909 - mmseg - INFO - Iter [83200/160000] lr: 9.375e-06, eta: 5:05:13, time: 0.195, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1813, decode.acc_seg: 92.6550, loss: 0.1813 +2023-03-05 03:21:45,750 - mmseg - INFO - Iter [83250/160000] lr: 9.375e-06, eta: 5:04:59, time: 0.197, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1866, decode.acc_seg: 92.4658, loss: 0.1866 +2023-03-05 03:21:57,748 - mmseg - INFO - Iter [83300/160000] lr: 9.375e-06, eta: 5:04:47, time: 0.240, data_time: 0.055, memory: 52540, decode.loss_ce: 0.1864, decode.acc_seg: 92.4321, loss: 0.1864 +2023-03-05 03:22:07,504 - mmseg - INFO - Iter [83350/160000] lr: 9.375e-06, eta: 5:04:33, time: 0.195, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1825, decode.acc_seg: 92.5379, loss: 0.1825 +2023-03-05 03:22:17,292 - mmseg - INFO - Iter [83400/160000] lr: 9.375e-06, eta: 5:04:19, time: 0.196, data_time: 0.008, memory: 52540, decode.loss_ce: 0.1770, decode.acc_seg: 92.6809, loss: 0.1770 +2023-03-05 03:22:26,777 - mmseg - INFO - Iter [83450/160000] lr: 9.375e-06, eta: 5:04:05, time: 0.190, data_time: 0.008, memory: 52540, decode.loss_ce: 0.1941, decode.acc_seg: 92.2726, loss: 0.1941 +2023-03-05 03:22:36,593 - mmseg - INFO - Iter [83500/160000] lr: 9.375e-06, eta: 5:03:51, time: 0.196, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1891, decode.acc_seg: 92.3021, loss: 0.1891 +2023-03-05 03:22:46,161 - mmseg - INFO - Iter [83550/160000] lr: 9.375e-06, eta: 5:03:37, time: 0.192, data_time: 0.008, memory: 52540, decode.loss_ce: 0.1940, decode.acc_seg: 92.0629, loss: 0.1940 +2023-03-05 03:22:55,640 - mmseg - INFO - Iter [83600/160000] lr: 9.375e-06, eta: 5:03:23, time: 0.190, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1848, decode.acc_seg: 92.3407, loss: 0.1848 +2023-03-05 03:23:05,413 - mmseg - INFO - Iter [83650/160000] lr: 9.375e-06, eta: 5:03:09, time: 0.195, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1765, decode.acc_seg: 92.6601, loss: 0.1765 +2023-03-05 03:23:14,857 - mmseg - INFO - Iter [83700/160000] lr: 9.375e-06, eta: 5:02:55, time: 0.189, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1812, decode.acc_seg: 92.5168, loss: 0.1812 +2023-03-05 03:23:24,352 - mmseg - INFO - Iter [83750/160000] lr: 9.375e-06, eta: 5:02:41, time: 0.190, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1823, decode.acc_seg: 92.4339, loss: 0.1823 +2023-03-05 03:23:34,258 - mmseg - INFO - Iter [83800/160000] lr: 9.375e-06, eta: 5:02:27, time: 0.198, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1822, decode.acc_seg: 92.5185, loss: 0.1822 +2023-03-05 03:23:43,699 - mmseg - INFO - Iter [83850/160000] lr: 9.375e-06, eta: 5:02:13, time: 0.189, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1854, decode.acc_seg: 92.6240, loss: 0.1854 +2023-03-05 03:23:53,359 - mmseg - INFO - Iter [83900/160000] lr: 9.375e-06, eta: 5:01:59, time: 0.193, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1803, decode.acc_seg: 92.5698, loss: 0.1803 +2023-03-05 03:24:05,477 - mmseg - INFO - Iter [83950/160000] lr: 9.375e-06, eta: 5:01:47, time: 0.242, data_time: 0.056, memory: 52540, decode.loss_ce: 0.1830, decode.acc_seg: 92.5545, loss: 0.1830 +2023-03-05 03:24:14,909 - mmseg - INFO - Exp name: ablation_segformer_mit_b2_segformer_head_unet_fc_small_multi_step_ade_pretrained_freeze_embed_160k_ade20k151_mask_finetune_maskonly.py +2023-03-05 03:24:14,910 - mmseg - INFO - Iter [84000/160000] lr: 9.375e-06, eta: 5:01:33, time: 0.189, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1810, decode.acc_seg: 92.5732, loss: 0.1810 +2023-03-05 03:24:24,470 - mmseg - INFO - Iter [84050/160000] lr: 9.375e-06, eta: 5:01:19, time: 0.191, data_time: 0.008, memory: 52540, decode.loss_ce: 0.1889, decode.acc_seg: 92.4701, loss: 0.1889 +2023-03-05 03:24:33,983 - mmseg - INFO - Iter [84100/160000] lr: 9.375e-06, eta: 5:01:05, time: 0.190, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1797, decode.acc_seg: 92.5566, loss: 0.1797 +2023-03-05 03:24:43,646 - mmseg - INFO - Iter [84150/160000] lr: 9.375e-06, eta: 5:00:51, time: 0.193, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1865, decode.acc_seg: 92.3342, loss: 0.1865 +2023-03-05 03:24:53,063 - mmseg - INFO - Iter [84200/160000] lr: 9.375e-06, eta: 5:00:37, time: 0.189, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1884, decode.acc_seg: 92.1862, loss: 0.1884 +2023-03-05 03:25:02,526 - mmseg - INFO - Iter [84250/160000] lr: 9.375e-06, eta: 5:00:23, time: 0.189, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1841, decode.acc_seg: 92.3805, loss: 0.1841 +2023-03-05 03:25:12,005 - mmseg - INFO - Iter [84300/160000] lr: 9.375e-06, eta: 5:00:09, time: 0.190, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1836, decode.acc_seg: 92.4588, loss: 0.1836 +2023-03-05 03:25:21,600 - mmseg - INFO - Iter [84350/160000] lr: 9.375e-06, eta: 4:59:55, time: 0.192, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1873, decode.acc_seg: 92.5210, loss: 0.1873 +2023-03-05 03:25:31,464 - mmseg - INFO - Iter [84400/160000] lr: 9.375e-06, eta: 4:59:41, time: 0.197, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1899, decode.acc_seg: 92.2985, loss: 0.1899 +2023-03-05 03:25:41,325 - mmseg - INFO - Iter [84450/160000] lr: 9.375e-06, eta: 4:59:28, time: 0.197, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1829, decode.acc_seg: 92.5124, loss: 0.1829 +2023-03-05 03:25:50,786 - mmseg - INFO - Iter [84500/160000] lr: 9.375e-06, eta: 4:59:13, time: 0.189, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1831, decode.acc_seg: 92.4464, loss: 0.1831 +2023-03-05 03:26:00,522 - mmseg - INFO - Iter [84550/160000] lr: 9.375e-06, eta: 4:59:00, time: 0.195, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1939, decode.acc_seg: 92.0477, loss: 0.1939 +2023-03-05 03:26:12,636 - mmseg - INFO - Iter [84600/160000] lr: 9.375e-06, eta: 4:58:48, time: 0.242, data_time: 0.055, memory: 52540, decode.loss_ce: 0.1930, decode.acc_seg: 91.9820, loss: 0.1930 +2023-03-05 03:26:22,192 - mmseg - INFO - Iter [84650/160000] lr: 9.375e-06, eta: 4:58:34, time: 0.191, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1804, decode.acc_seg: 92.4396, loss: 0.1804 +2023-03-05 03:26:31,713 - mmseg - INFO - Iter [84700/160000] lr: 9.375e-06, eta: 4:58:20, time: 0.190, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1807, decode.acc_seg: 92.4880, loss: 0.1807 +2023-03-05 03:26:41,464 - mmseg - INFO - Iter [84750/160000] lr: 9.375e-06, eta: 4:58:06, time: 0.195, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1868, decode.acc_seg: 92.3970, loss: 0.1868 +2023-03-05 03:26:50,856 - mmseg - INFO - Iter [84800/160000] lr: 9.375e-06, eta: 4:57:52, time: 0.188, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1817, decode.acc_seg: 92.5700, loss: 0.1817 +2023-03-05 03:27:00,430 - mmseg - INFO - Iter [84850/160000] lr: 9.375e-06, eta: 4:57:38, time: 0.191, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1818, decode.acc_seg: 92.5112, loss: 0.1818 +2023-03-05 03:27:10,005 - mmseg - INFO - Iter [84900/160000] lr: 9.375e-06, eta: 4:57:24, time: 0.192, data_time: 0.007, memory: 52540, decode.loss_ce: 0.2005, decode.acc_seg: 91.9410, loss: 0.2005 +2023-03-05 03:27:19,543 - mmseg - INFO - Iter [84950/160000] lr: 9.375e-06, eta: 4:57:10, time: 0.191, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1868, decode.acc_seg: 92.2167, loss: 0.1868 +2023-03-05 03:27:29,048 - mmseg - INFO - Exp name: ablation_segformer_mit_b2_segformer_head_unet_fc_small_multi_step_ade_pretrained_freeze_embed_160k_ade20k151_mask_finetune_maskonly.py +2023-03-05 03:27:29,049 - mmseg - INFO - Iter [85000/160000] lr: 9.375e-06, eta: 4:56:56, time: 0.190, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1857, decode.acc_seg: 92.4094, loss: 0.1857 +2023-03-05 03:27:38,495 - mmseg - INFO - Iter [85050/160000] lr: 9.375e-06, eta: 4:56:42, time: 0.189, data_time: 0.008, memory: 52540, decode.loss_ce: 0.1926, decode.acc_seg: 92.1610, loss: 0.1926 +2023-03-05 03:27:48,269 - mmseg - INFO - Iter [85100/160000] lr: 9.375e-06, eta: 4:56:29, time: 0.195, data_time: 0.008, memory: 52540, decode.loss_ce: 0.1891, decode.acc_seg: 92.1352, loss: 0.1891 +2023-03-05 03:27:57,733 - mmseg - INFO - Iter [85150/160000] lr: 9.375e-06, eta: 4:56:15, time: 0.189, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1790, decode.acc_seg: 92.6371, loss: 0.1790 +2023-03-05 03:28:09,943 - mmseg - INFO - Iter [85200/160000] lr: 9.375e-06, eta: 4:56:03, time: 0.244, data_time: 0.055, memory: 52540, decode.loss_ce: 0.1848, decode.acc_seg: 92.3979, loss: 0.1848 +2023-03-05 03:28:20,086 - mmseg - INFO - Iter [85250/160000] lr: 9.375e-06, eta: 4:55:50, time: 0.203, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1768, decode.acc_seg: 92.7168, loss: 0.1768 +2023-03-05 03:28:29,702 - mmseg - INFO - Iter [85300/160000] lr: 9.375e-06, eta: 4:55:36, time: 0.192, data_time: 0.008, memory: 52540, decode.loss_ce: 0.1879, decode.acc_seg: 92.1437, loss: 0.1879 +2023-03-05 03:28:39,349 - mmseg - INFO - Iter [85350/160000] lr: 9.375e-06, eta: 4:55:22, time: 0.193, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1830, decode.acc_seg: 92.4479, loss: 0.1830 +2023-03-05 03:28:49,241 - mmseg - INFO - Iter [85400/160000] lr: 9.375e-06, eta: 4:55:08, time: 0.198, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1873, decode.acc_seg: 92.4065, loss: 0.1873 +2023-03-05 03:28:58,926 - mmseg - INFO - Iter [85450/160000] lr: 9.375e-06, eta: 4:54:55, time: 0.194, data_time: 0.008, memory: 52540, decode.loss_ce: 0.1818, decode.acc_seg: 92.5421, loss: 0.1818 +2023-03-05 03:29:08,727 - mmseg - INFO - Iter [85500/160000] lr: 9.375e-06, eta: 4:54:41, time: 0.196, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1774, decode.acc_seg: 92.6428, loss: 0.1774 +2023-03-05 03:29:18,276 - mmseg - INFO - Iter [85550/160000] lr: 9.375e-06, eta: 4:54:27, time: 0.191, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1869, decode.acc_seg: 92.4368, loss: 0.1869 +2023-03-05 03:29:27,948 - mmseg - INFO - Iter [85600/160000] lr: 9.375e-06, eta: 4:54:13, time: 0.193, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1830, decode.acc_seg: 92.4519, loss: 0.1830 +2023-03-05 03:29:37,430 - mmseg - INFO - Iter [85650/160000] lr: 9.375e-06, eta: 4:53:59, time: 0.190, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1892, decode.acc_seg: 92.1872, loss: 0.1892 +2023-03-05 03:29:47,101 - mmseg - INFO - Iter [85700/160000] lr: 9.375e-06, eta: 4:53:46, time: 0.193, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1777, decode.acc_seg: 92.7915, loss: 0.1777 +2023-03-05 03:29:56,748 - mmseg - INFO - Iter [85750/160000] lr: 9.375e-06, eta: 4:53:32, time: 0.193, data_time: 0.008, memory: 52540, decode.loss_ce: 0.1798, decode.acc_seg: 92.6679, loss: 0.1798 +2023-03-05 03:30:06,360 - mmseg - INFO - Iter [85800/160000] lr: 9.375e-06, eta: 4:53:18, time: 0.192, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1899, decode.acc_seg: 92.2072, loss: 0.1899 +2023-03-05 03:30:18,500 - mmseg - INFO - Iter [85850/160000] lr: 9.375e-06, eta: 4:53:06, time: 0.243, data_time: 0.052, memory: 52540, decode.loss_ce: 0.1836, decode.acc_seg: 92.4956, loss: 0.1836 +2023-03-05 03:30:28,126 - mmseg - INFO - Iter [85900/160000] lr: 9.375e-06, eta: 4:52:53, time: 0.192, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1923, decode.acc_seg: 92.1838, loss: 0.1923 +2023-03-05 03:30:38,050 - mmseg - INFO - Iter [85950/160000] lr: 9.375e-06, eta: 4:52:39, time: 0.199, data_time: 0.008, memory: 52540, decode.loss_ce: 0.1804, decode.acc_seg: 92.5872, loss: 0.1804 +2023-03-05 03:30:47,740 - mmseg - INFO - Exp name: ablation_segformer_mit_b2_segformer_head_unet_fc_small_multi_step_ade_pretrained_freeze_embed_160k_ade20k151_mask_finetune_maskonly.py +2023-03-05 03:30:47,741 - mmseg - INFO - Iter [86000/160000] lr: 9.375e-06, eta: 4:52:25, time: 0.194, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1816, decode.acc_seg: 92.6089, loss: 0.1816 +2023-03-05 03:30:57,150 - mmseg - INFO - Iter [86050/160000] lr: 9.375e-06, eta: 4:52:11, time: 0.188, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1890, decode.acc_seg: 92.3940, loss: 0.1890 +2023-03-05 03:31:06,689 - mmseg - INFO - Iter [86100/160000] lr: 9.375e-06, eta: 4:51:58, time: 0.191, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1880, decode.acc_seg: 92.2731, loss: 0.1880 +2023-03-05 03:31:16,248 - mmseg - INFO - Iter [86150/160000] lr: 9.375e-06, eta: 4:51:44, time: 0.191, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1895, decode.acc_seg: 92.2071, loss: 0.1895 +2023-03-05 03:31:26,241 - mmseg - INFO - Iter [86200/160000] lr: 9.375e-06, eta: 4:51:30, time: 0.200, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1903, decode.acc_seg: 92.4198, loss: 0.1903 +2023-03-05 03:31:36,000 - mmseg - INFO - Iter [86250/160000] lr: 9.375e-06, eta: 4:51:17, time: 0.195, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1831, decode.acc_seg: 92.4986, loss: 0.1831 +2023-03-05 03:31:45,477 - mmseg - INFO - Iter [86300/160000] lr: 9.375e-06, eta: 4:51:03, time: 0.190, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1852, decode.acc_seg: 92.3514, loss: 0.1852 +2023-03-05 03:31:55,122 - mmseg - INFO - Iter [86350/160000] lr: 9.375e-06, eta: 4:50:49, time: 0.193, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1851, decode.acc_seg: 92.3145, loss: 0.1851 +2023-03-05 03:32:04,741 - mmseg - INFO - Iter [86400/160000] lr: 9.375e-06, eta: 4:50:35, time: 0.192, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1896, decode.acc_seg: 92.2426, loss: 0.1896 +2023-03-05 03:32:16,931 - mmseg - INFO - Iter [86450/160000] lr: 9.375e-06, eta: 4:50:24, time: 0.244, data_time: 0.056, memory: 52540, decode.loss_ce: 0.1874, decode.acc_seg: 92.3145, loss: 0.1874 +2023-03-05 03:32:26,404 - mmseg - INFO - Iter [86500/160000] lr: 9.375e-06, eta: 4:50:10, time: 0.190, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1827, decode.acc_seg: 92.5013, loss: 0.1827 +2023-03-05 03:32:35,929 - mmseg - INFO - Iter [86550/160000] lr: 9.375e-06, eta: 4:49:56, time: 0.191, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1796, decode.acc_seg: 92.6540, loss: 0.1796 +2023-03-05 03:32:45,706 - mmseg - INFO - Iter [86600/160000] lr: 9.375e-06, eta: 4:49:42, time: 0.196, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1819, decode.acc_seg: 92.3160, loss: 0.1819 +2023-03-05 03:32:55,407 - mmseg - INFO - Iter [86650/160000] lr: 9.375e-06, eta: 4:49:29, time: 0.194, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1881, decode.acc_seg: 92.3008, loss: 0.1881 +2023-03-05 03:33:04,913 - mmseg - INFO - Iter [86700/160000] lr: 9.375e-06, eta: 4:49:15, time: 0.190, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1866, decode.acc_seg: 92.3514, loss: 0.1866 +2023-03-05 03:33:14,388 - mmseg - INFO - Iter [86750/160000] lr: 9.375e-06, eta: 4:49:01, time: 0.190, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1851, decode.acc_seg: 92.5027, loss: 0.1851 +2023-03-05 03:33:23,840 - mmseg - INFO - Iter [86800/160000] lr: 9.375e-06, eta: 4:48:47, time: 0.189, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1829, decode.acc_seg: 92.3822, loss: 0.1829 +2023-03-05 03:33:33,473 - mmseg - INFO - Iter [86850/160000] lr: 9.375e-06, eta: 4:48:34, time: 0.193, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1914, decode.acc_seg: 92.0483, loss: 0.1914 +2023-03-05 03:33:43,409 - mmseg - INFO - Iter [86900/160000] lr: 9.375e-06, eta: 4:48:20, time: 0.199, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1861, decode.acc_seg: 92.3357, loss: 0.1861 +2023-03-05 03:33:52,848 - mmseg - INFO - Iter [86950/160000] lr: 9.375e-06, eta: 4:48:06, time: 0.189, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1882, decode.acc_seg: 92.2977, loss: 0.1882 +2023-03-05 03:34:02,650 - mmseg - INFO - Exp name: ablation_segformer_mit_b2_segformer_head_unet_fc_small_multi_step_ade_pretrained_freeze_embed_160k_ade20k151_mask_finetune_maskonly.py +2023-03-05 03:34:02,650 - mmseg - INFO - Iter [87000/160000] lr: 9.375e-06, eta: 4:47:53, time: 0.196, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1782, decode.acc_seg: 92.6545, loss: 0.1782 +2023-03-05 03:34:12,362 - mmseg - INFO - Iter [87050/160000] lr: 9.375e-06, eta: 4:47:39, time: 0.194, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1855, decode.acc_seg: 92.3994, loss: 0.1855 +2023-03-05 03:34:24,382 - mmseg - INFO - Iter [87100/160000] lr: 9.375e-06, eta: 4:47:28, time: 0.240, data_time: 0.054, memory: 52540, decode.loss_ce: 0.1819, decode.acc_seg: 92.3637, loss: 0.1819 +2023-03-05 03:34:34,007 - mmseg - INFO - Iter [87150/160000] lr: 9.375e-06, eta: 4:47:14, time: 0.192, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1952, decode.acc_seg: 92.0515, loss: 0.1952 +2023-03-05 03:34:43,528 - mmseg - INFO - Iter [87200/160000] lr: 9.375e-06, eta: 4:47:00, time: 0.190, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1884, decode.acc_seg: 92.4885, loss: 0.1884 +2023-03-05 03:34:53,001 - mmseg - INFO - Iter [87250/160000] lr: 9.375e-06, eta: 4:46:46, time: 0.189, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1809, decode.acc_seg: 92.4727, loss: 0.1809 +2023-03-05 03:35:03,040 - mmseg - INFO - Iter [87300/160000] lr: 9.375e-06, eta: 4:46:33, time: 0.201, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1802, decode.acc_seg: 92.4723, loss: 0.1802 +2023-03-05 03:35:12,688 - mmseg - INFO - Iter [87350/160000] lr: 9.375e-06, eta: 4:46:19, time: 0.193, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1877, decode.acc_seg: 92.2480, loss: 0.1877 +2023-03-05 03:35:22,540 - mmseg - INFO - Iter [87400/160000] lr: 9.375e-06, eta: 4:46:06, time: 0.197, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1858, decode.acc_seg: 92.4641, loss: 0.1858 +2023-03-05 03:35:32,240 - mmseg - INFO - Iter [87450/160000] lr: 9.375e-06, eta: 4:45:52, time: 0.194, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1861, decode.acc_seg: 92.3257, loss: 0.1861 +2023-03-05 03:35:41,726 - mmseg - INFO - Iter [87500/160000] lr: 9.375e-06, eta: 4:45:39, time: 0.190, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1870, decode.acc_seg: 92.2865, loss: 0.1870 +2023-03-05 03:35:51,300 - mmseg - INFO - Iter [87550/160000] lr: 9.375e-06, eta: 4:45:25, time: 0.191, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1854, decode.acc_seg: 92.3255, loss: 0.1854 +2023-03-05 03:36:00,797 - mmseg - INFO - Iter [87600/160000] lr: 9.375e-06, eta: 4:45:11, time: 0.190, data_time: 0.008, memory: 52540, decode.loss_ce: 0.1855, decode.acc_seg: 92.3298, loss: 0.1855 +2023-03-05 03:36:10,495 - mmseg - INFO - Iter [87650/160000] lr: 9.375e-06, eta: 4:44:58, time: 0.194, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1825, decode.acc_seg: 92.5406, loss: 0.1825 +2023-03-05 03:36:20,345 - mmseg - INFO - Iter [87700/160000] lr: 9.375e-06, eta: 4:44:44, time: 0.197, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1867, decode.acc_seg: 92.4754, loss: 0.1867 +2023-03-05 03:36:32,392 - mmseg - INFO - Iter [87750/160000] lr: 9.375e-06, eta: 4:44:33, time: 0.241, data_time: 0.057, memory: 52540, decode.loss_ce: 0.1872, decode.acc_seg: 92.4851, loss: 0.1872 +2023-03-05 03:36:41,931 - mmseg - INFO - Iter [87800/160000] lr: 9.375e-06, eta: 4:44:19, time: 0.191, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1837, decode.acc_seg: 92.3707, loss: 0.1837 +2023-03-05 03:36:51,493 - mmseg - INFO - Iter [87850/160000] lr: 9.375e-06, eta: 4:44:05, time: 0.191, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1800, decode.acc_seg: 92.7272, loss: 0.1800 +2023-03-05 03:37:00,947 - mmseg - INFO - Iter [87900/160000] lr: 9.375e-06, eta: 4:43:51, time: 0.189, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1884, decode.acc_seg: 92.3072, loss: 0.1884 +2023-03-05 03:37:10,536 - mmseg - INFO - Iter [87950/160000] lr: 9.375e-06, eta: 4:43:38, time: 0.192, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1943, decode.acc_seg: 92.1897, loss: 0.1943 +2023-03-05 03:37:20,573 - mmseg - INFO - Exp name: ablation_segformer_mit_b2_segformer_head_unet_fc_small_multi_step_ade_pretrained_freeze_embed_160k_ade20k151_mask_finetune_maskonly.py +2023-03-05 03:37:20,573 - mmseg - INFO - Iter [88000/160000] lr: 9.375e-06, eta: 4:43:25, time: 0.201, data_time: 0.008, memory: 52540, decode.loss_ce: 0.1883, decode.acc_seg: 92.1796, loss: 0.1883 +2023-03-05 03:37:30,169 - mmseg - INFO - Iter [88050/160000] lr: 9.375e-06, eta: 4:43:11, time: 0.192, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1883, decode.acc_seg: 92.2993, loss: 0.1883 +2023-03-05 03:37:39,702 - mmseg - INFO - Iter [88100/160000] lr: 9.375e-06, eta: 4:42:57, time: 0.191, data_time: 0.008, memory: 52540, decode.loss_ce: 0.1865, decode.acc_seg: 92.2746, loss: 0.1865 +2023-03-05 03:37:49,188 - mmseg - INFO - Iter [88150/160000] lr: 9.375e-06, eta: 4:42:44, time: 0.190, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1855, decode.acc_seg: 92.3600, loss: 0.1855 +2023-03-05 03:37:58,781 - mmseg - INFO - Iter [88200/160000] lr: 9.375e-06, eta: 4:42:30, time: 0.192, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1847, decode.acc_seg: 92.4212, loss: 0.1847 +2023-03-05 03:38:08,433 - mmseg - INFO - Iter [88250/160000] lr: 9.375e-06, eta: 4:42:16, time: 0.193, data_time: 0.008, memory: 52540, decode.loss_ce: 0.1911, decode.acc_seg: 92.1865, loss: 0.1911 +2023-03-05 03:38:18,108 - mmseg - INFO - Iter [88300/160000] lr: 9.375e-06, eta: 4:42:03, time: 0.194, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1823, decode.acc_seg: 92.5803, loss: 0.1823 +2023-03-05 03:38:30,473 - mmseg - INFO - Iter [88350/160000] lr: 9.375e-06, eta: 4:41:52, time: 0.247, data_time: 0.059, memory: 52540, decode.loss_ce: 0.1924, decode.acc_seg: 92.2067, loss: 0.1924 +2023-03-05 03:38:40,412 - mmseg - INFO - Iter [88400/160000] lr: 9.375e-06, eta: 4:41:38, time: 0.199, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1931, decode.acc_seg: 92.0609, loss: 0.1931 +2023-03-05 03:38:49,885 - mmseg - INFO - Iter [88450/160000] lr: 9.375e-06, eta: 4:41:25, time: 0.189, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1904, decode.acc_seg: 92.0190, loss: 0.1904 +2023-03-05 03:38:59,586 - mmseg - INFO - Iter [88500/160000] lr: 9.375e-06, eta: 4:41:11, time: 0.194, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1796, decode.acc_seg: 92.7914, loss: 0.1796 +2023-03-05 03:39:08,985 - mmseg - INFO - Iter [88550/160000] lr: 9.375e-06, eta: 4:40:57, time: 0.188, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1879, decode.acc_seg: 92.1438, loss: 0.1879 +2023-03-05 03:39:18,671 - mmseg - INFO - Iter [88600/160000] lr: 9.375e-06, eta: 4:40:44, time: 0.194, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1910, decode.acc_seg: 92.2179, loss: 0.1910 +2023-03-05 03:39:28,200 - mmseg - INFO - Iter [88650/160000] lr: 9.375e-06, eta: 4:40:30, time: 0.191, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1853, decode.acc_seg: 92.3641, loss: 0.1853 +2023-03-05 03:39:37,931 - mmseg - INFO - Iter [88700/160000] lr: 9.375e-06, eta: 4:40:17, time: 0.195, data_time: 0.008, memory: 52540, decode.loss_ce: 0.1892, decode.acc_seg: 92.4038, loss: 0.1892 +2023-03-05 03:39:47,759 - mmseg - INFO - Iter [88750/160000] lr: 9.375e-06, eta: 4:40:03, time: 0.197, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1820, decode.acc_seg: 92.4917, loss: 0.1820 +2023-03-05 03:39:57,660 - mmseg - INFO - Iter [88800/160000] lr: 9.375e-06, eta: 4:39:50, time: 0.198, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1825, decode.acc_seg: 92.4868, loss: 0.1825 +2023-03-05 03:40:07,514 - mmseg - INFO - Iter [88850/160000] lr: 9.375e-06, eta: 4:39:37, time: 0.197, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1788, decode.acc_seg: 92.5571, loss: 0.1788 +2023-03-05 03:40:17,135 - mmseg - INFO - Iter [88900/160000] lr: 9.375e-06, eta: 4:39:23, time: 0.192, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1832, decode.acc_seg: 92.4180, loss: 0.1832 +2023-03-05 03:40:26,601 - mmseg - INFO - Iter [88950/160000] lr: 9.375e-06, eta: 4:39:10, time: 0.189, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1858, decode.acc_seg: 92.3183, loss: 0.1858 +2023-03-05 03:40:38,726 - mmseg - INFO - Exp name: ablation_segformer_mit_b2_segformer_head_unet_fc_small_multi_step_ade_pretrained_freeze_embed_160k_ade20k151_mask_finetune_maskonly.py +2023-03-05 03:40:38,726 - mmseg - INFO - Iter [89000/160000] lr: 9.375e-06, eta: 4:38:58, time: 0.242, data_time: 0.053, memory: 52540, decode.loss_ce: 0.1853, decode.acc_seg: 92.4159, loss: 0.1853 +2023-03-05 03:40:48,595 - mmseg - INFO - Iter [89050/160000] lr: 9.375e-06, eta: 4:38:45, time: 0.197, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1833, decode.acc_seg: 92.5153, loss: 0.1833 +2023-03-05 03:40:58,297 - mmseg - INFO - Iter [89100/160000] lr: 9.375e-06, eta: 4:38:31, time: 0.194, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1850, decode.acc_seg: 92.3775, loss: 0.1850 +2023-03-05 03:41:08,156 - mmseg - INFO - Iter [89150/160000] lr: 9.375e-06, eta: 4:38:18, time: 0.197, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1868, decode.acc_seg: 92.3925, loss: 0.1868 +2023-03-05 03:41:17,612 - mmseg - INFO - Iter [89200/160000] lr: 9.375e-06, eta: 4:38:04, time: 0.189, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1800, decode.acc_seg: 92.5736, loss: 0.1800 +2023-03-05 03:41:27,387 - mmseg - INFO - Iter [89250/160000] lr: 9.375e-06, eta: 4:37:51, time: 0.196, data_time: 0.008, memory: 52540, decode.loss_ce: 0.1850, decode.acc_seg: 92.5335, loss: 0.1850 +2023-03-05 03:41:37,193 - mmseg - INFO - Iter [89300/160000] lr: 9.375e-06, eta: 4:37:38, time: 0.196, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1846, decode.acc_seg: 92.3527, loss: 0.1846 +2023-03-05 03:41:46,725 - mmseg - INFO - Iter [89350/160000] lr: 9.375e-06, eta: 4:37:24, time: 0.191, data_time: 0.008, memory: 52540, decode.loss_ce: 0.1870, decode.acc_seg: 92.3276, loss: 0.1870 +2023-03-05 03:41:56,261 - mmseg - INFO - Iter [89400/160000] lr: 9.375e-06, eta: 4:37:10, time: 0.190, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1775, decode.acc_seg: 92.6594, loss: 0.1775 +2023-03-05 03:42:05,834 - mmseg - INFO - Iter [89450/160000] lr: 9.375e-06, eta: 4:36:57, time: 0.192, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1760, decode.acc_seg: 92.6179, loss: 0.1760 +2023-03-05 03:42:15,572 - mmseg - INFO - Iter [89500/160000] lr: 9.375e-06, eta: 4:36:44, time: 0.195, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1917, decode.acc_seg: 92.1457, loss: 0.1917 +2023-03-05 03:42:25,232 - mmseg - INFO - Iter [89550/160000] lr: 9.375e-06, eta: 4:36:30, time: 0.193, data_time: 0.008, memory: 52540, decode.loss_ce: 0.1855, decode.acc_seg: 92.2798, loss: 0.1855 +2023-03-05 03:42:34,821 - mmseg - INFO - Iter [89600/160000] lr: 9.375e-06, eta: 4:36:17, time: 0.192, data_time: 0.008, memory: 52540, decode.loss_ce: 0.1869, decode.acc_seg: 92.2363, loss: 0.1869 +2023-03-05 03:42:46,842 - mmseg - INFO - Iter [89650/160000] lr: 9.375e-06, eta: 4:36:05, time: 0.240, data_time: 0.054, memory: 52540, decode.loss_ce: 0.1797, decode.acc_seg: 92.5410, loss: 0.1797 +2023-03-05 03:42:56,591 - mmseg - INFO - Iter [89700/160000] lr: 9.375e-06, eta: 4:35:52, time: 0.195, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1817, decode.acc_seg: 92.5743, loss: 0.1817 +2023-03-05 03:43:06,503 - mmseg - INFO - Iter [89750/160000] lr: 9.375e-06, eta: 4:35:38, time: 0.198, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1863, decode.acc_seg: 92.4022, loss: 0.1863 +2023-03-05 03:43:16,016 - mmseg - INFO - Iter [89800/160000] lr: 9.375e-06, eta: 4:35:25, time: 0.190, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1866, decode.acc_seg: 92.2387, loss: 0.1866 +2023-03-05 03:43:25,660 - mmseg - INFO - Iter [89850/160000] lr: 9.375e-06, eta: 4:35:11, time: 0.193, data_time: 0.008, memory: 52540, decode.loss_ce: 0.1859, decode.acc_seg: 92.3219, loss: 0.1859 +2023-03-05 03:43:35,570 - mmseg - INFO - Iter [89900/160000] lr: 9.375e-06, eta: 4:34:58, time: 0.198, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1844, decode.acc_seg: 92.5119, loss: 0.1844 +2023-03-05 03:43:45,207 - mmseg - INFO - Iter [89950/160000] lr: 9.375e-06, eta: 4:34:45, time: 0.193, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1863, decode.acc_seg: 92.3717, loss: 0.1863 +2023-03-05 03:43:54,951 - mmseg - INFO - Exp name: ablation_segformer_mit_b2_segformer_head_unet_fc_small_multi_step_ade_pretrained_freeze_embed_160k_ade20k151_mask_finetune_maskonly.py +2023-03-05 03:43:54,952 - mmseg - INFO - Iter [90000/160000] lr: 9.375e-06, eta: 4:34:32, time: 0.195, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1829, decode.acc_seg: 92.4969, loss: 0.1829 +2023-03-05 03:44:04,896 - mmseg - INFO - Iter [90050/160000] lr: 9.375e-06, eta: 4:34:18, time: 0.199, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1868, decode.acc_seg: 92.4276, loss: 0.1868 +2023-03-05 03:44:14,603 - mmseg - INFO - Iter [90100/160000] lr: 9.375e-06, eta: 4:34:05, time: 0.194, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1805, decode.acc_seg: 92.5903, loss: 0.1805 +2023-03-05 03:44:24,000 - mmseg - INFO - Iter [90150/160000] lr: 9.375e-06, eta: 4:33:51, time: 0.188, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1823, decode.acc_seg: 92.5118, loss: 0.1823 +2023-03-05 03:44:33,510 - mmseg - INFO - Iter [90200/160000] lr: 9.375e-06, eta: 4:33:38, time: 0.190, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1941, decode.acc_seg: 92.1395, loss: 0.1941 +2023-03-05 03:44:45,451 - mmseg - INFO - Iter [90250/160000] lr: 9.375e-06, eta: 4:33:26, time: 0.239, data_time: 0.052, memory: 52540, decode.loss_ce: 0.1917, decode.acc_seg: 92.3991, loss: 0.1917 +2023-03-05 03:44:55,196 - mmseg - INFO - Iter [90300/160000] lr: 9.375e-06, eta: 4:33:13, time: 0.195, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1855, decode.acc_seg: 92.4916, loss: 0.1855 +2023-03-05 03:45:04,678 - mmseg - INFO - Iter [90350/160000] lr: 9.375e-06, eta: 4:32:59, time: 0.190, data_time: 0.008, memory: 52540, decode.loss_ce: 0.1799, decode.acc_seg: 92.6263, loss: 0.1799 +2023-03-05 03:45:14,069 - mmseg - INFO - Iter [90400/160000] lr: 9.375e-06, eta: 4:32:46, time: 0.188, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1884, decode.acc_seg: 92.3797, loss: 0.1884 +2023-03-05 03:45:23,659 - mmseg - INFO - Iter [90450/160000] lr: 9.375e-06, eta: 4:32:32, time: 0.192, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1757, decode.acc_seg: 92.6667, loss: 0.1757 +2023-03-05 03:45:33,323 - mmseg - INFO - Iter [90500/160000] lr: 9.375e-06, eta: 4:32:19, time: 0.193, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1839, decode.acc_seg: 92.4037, loss: 0.1839 +2023-03-05 03:45:42,866 - mmseg - INFO - Iter [90550/160000] lr: 9.375e-06, eta: 4:32:06, time: 0.191, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1776, decode.acc_seg: 92.8077, loss: 0.1776 +2023-03-05 03:45:52,461 - mmseg - INFO - Iter [90600/160000] lr: 9.375e-06, eta: 4:31:52, time: 0.192, data_time: 0.008, memory: 52540, decode.loss_ce: 0.1829, decode.acc_seg: 92.5153, loss: 0.1829 +2023-03-05 03:46:01,916 - mmseg - INFO - Iter [90650/160000] lr: 9.375e-06, eta: 4:31:39, time: 0.189, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1831, decode.acc_seg: 92.4390, loss: 0.1831 +2023-03-05 03:46:11,675 - mmseg - INFO - Iter [90700/160000] lr: 9.375e-06, eta: 4:31:25, time: 0.195, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1936, decode.acc_seg: 92.1793, loss: 0.1936 +2023-03-05 03:46:21,351 - mmseg - INFO - Iter [90750/160000] lr: 9.375e-06, eta: 4:31:12, time: 0.193, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1975, decode.acc_seg: 92.0267, loss: 0.1975 +2023-03-05 03:46:30,969 - mmseg - INFO - Iter [90800/160000] lr: 9.375e-06, eta: 4:30:59, time: 0.193, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1870, decode.acc_seg: 92.2648, loss: 0.1870 +2023-03-05 03:46:40,546 - mmseg - INFO - Iter [90850/160000] lr: 9.375e-06, eta: 4:30:45, time: 0.192, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1837, decode.acc_seg: 92.4846, loss: 0.1837 +2023-03-05 03:46:52,730 - mmseg - INFO - Iter [90900/160000] lr: 9.375e-06, eta: 4:30:34, time: 0.244, data_time: 0.054, memory: 52540, decode.loss_ce: 0.1821, decode.acc_seg: 92.4815, loss: 0.1821 +2023-03-05 03:47:02,480 - mmseg - INFO - Iter [90950/160000] lr: 9.375e-06, eta: 4:30:21, time: 0.195, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1831, decode.acc_seg: 92.4644, loss: 0.1831 +2023-03-05 03:47:12,019 - mmseg - INFO - Exp name: ablation_segformer_mit_b2_segformer_head_unet_fc_small_multi_step_ade_pretrained_freeze_embed_160k_ade20k151_mask_finetune_maskonly.py +2023-03-05 03:47:12,019 - mmseg - INFO - Iter [91000/160000] lr: 9.375e-06, eta: 4:30:07, time: 0.191, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1875, decode.acc_seg: 92.3716, loss: 0.1875 +2023-03-05 03:47:21,641 - mmseg - INFO - Iter [91050/160000] lr: 9.375e-06, eta: 4:29:54, time: 0.192, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1964, decode.acc_seg: 91.9914, loss: 0.1964 +2023-03-05 03:47:31,088 - mmseg - INFO - Iter [91100/160000] lr: 9.375e-06, eta: 4:29:40, time: 0.189, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1813, decode.acc_seg: 92.4873, loss: 0.1813 +2023-03-05 03:47:40,587 - mmseg - INFO - Iter [91150/160000] lr: 9.375e-06, eta: 4:29:27, time: 0.190, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1813, decode.acc_seg: 92.4783, loss: 0.1813 +2023-03-05 03:47:50,241 - mmseg - INFO - Iter [91200/160000] lr: 9.375e-06, eta: 4:29:14, time: 0.193, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1886, decode.acc_seg: 92.3735, loss: 0.1886 +2023-03-05 03:47:59,891 - mmseg - INFO - Iter [91250/160000] lr: 9.375e-06, eta: 4:29:00, time: 0.193, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1787, decode.acc_seg: 92.5998, loss: 0.1787 +2023-03-05 03:48:09,295 - mmseg - INFO - Iter [91300/160000] lr: 9.375e-06, eta: 4:28:47, time: 0.188, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1788, decode.acc_seg: 92.6067, loss: 0.1788 +2023-03-05 03:48:18,884 - mmseg - INFO - Iter [91350/160000] lr: 9.375e-06, eta: 4:28:33, time: 0.191, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1814, decode.acc_seg: 92.5394, loss: 0.1814 +2023-03-05 03:48:28,514 - mmseg - INFO - Iter [91400/160000] lr: 9.375e-06, eta: 4:28:20, time: 0.193, data_time: 0.008, memory: 52540, decode.loss_ce: 0.1866, decode.acc_seg: 92.3584, loss: 0.1866 +2023-03-05 03:48:38,090 - mmseg - INFO - Iter [91450/160000] lr: 9.375e-06, eta: 4:28:07, time: 0.192, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1919, decode.acc_seg: 92.0287, loss: 0.1919 +2023-03-05 03:48:50,157 - mmseg - INFO - Iter [91500/160000] lr: 9.375e-06, eta: 4:27:55, time: 0.241, data_time: 0.053, memory: 52540, decode.loss_ce: 0.1753, decode.acc_seg: 92.7777, loss: 0.1753 +2023-03-05 03:48:59,630 - mmseg - INFO - Iter [91550/160000] lr: 9.375e-06, eta: 4:27:42, time: 0.189, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1806, decode.acc_seg: 92.6438, loss: 0.1806 +2023-03-05 03:49:09,276 - mmseg - INFO - Iter [91600/160000] lr: 9.375e-06, eta: 4:27:29, time: 0.193, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1818, decode.acc_seg: 92.4488, loss: 0.1818 +2023-03-05 03:49:18,915 - mmseg - INFO - Iter [91650/160000] lr: 9.375e-06, eta: 4:27:15, time: 0.193, data_time: 0.008, memory: 52540, decode.loss_ce: 0.1877, decode.acc_seg: 92.2898, loss: 0.1877 +2023-03-05 03:49:28,764 - mmseg - INFO - Iter [91700/160000] lr: 9.375e-06, eta: 4:27:02, time: 0.197, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1890, decode.acc_seg: 92.2252, loss: 0.1890 +2023-03-05 03:49:38,554 - mmseg - INFO - Iter [91750/160000] lr: 9.375e-06, eta: 4:26:49, time: 0.196, data_time: 0.008, memory: 52540, decode.loss_ce: 0.1789, decode.acc_seg: 92.7235, loss: 0.1789 +2023-03-05 03:49:48,719 - mmseg - INFO - Iter [91800/160000] lr: 9.375e-06, eta: 4:26:36, time: 0.203, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1868, decode.acc_seg: 92.3193, loss: 0.1868 +2023-03-05 03:49:58,655 - mmseg - INFO - Iter [91850/160000] lr: 9.375e-06, eta: 4:26:23, time: 0.199, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1870, decode.acc_seg: 92.1918, loss: 0.1870 +2023-03-05 03:50:08,272 - mmseg - INFO - Iter [91900/160000] lr: 9.375e-06, eta: 4:26:10, time: 0.192, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1825, decode.acc_seg: 92.6164, loss: 0.1825 +2023-03-05 03:50:18,195 - mmseg - INFO - Iter [91950/160000] lr: 9.375e-06, eta: 4:25:57, time: 0.199, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1896, decode.acc_seg: 92.2627, loss: 0.1896 +2023-03-05 03:50:27,602 - mmseg - INFO - Exp name: ablation_segformer_mit_b2_segformer_head_unet_fc_small_multi_step_ade_pretrained_freeze_embed_160k_ade20k151_mask_finetune_maskonly.py +2023-03-05 03:50:27,602 - mmseg - INFO - Iter [92000/160000] lr: 9.375e-06, eta: 4:25:43, time: 0.188, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1818, decode.acc_seg: 92.5982, loss: 0.1818 +2023-03-05 03:50:37,108 - mmseg - INFO - Iter [92050/160000] lr: 9.375e-06, eta: 4:25:30, time: 0.190, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1892, decode.acc_seg: 92.2895, loss: 0.1892 +2023-03-05 03:50:46,720 - mmseg - INFO - Iter [92100/160000] lr: 9.375e-06, eta: 4:25:17, time: 0.192, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1843, decode.acc_seg: 92.4328, loss: 0.1843 +2023-03-05 03:50:58,815 - mmseg - INFO - Iter [92150/160000] lr: 9.375e-06, eta: 4:25:05, time: 0.242, data_time: 0.055, memory: 52540, decode.loss_ce: 0.1913, decode.acc_seg: 92.1855, loss: 0.1913 +2023-03-05 03:51:08,492 - mmseg - INFO - Iter [92200/160000] lr: 9.375e-06, eta: 4:24:52, time: 0.194, data_time: 0.008, memory: 52540, decode.loss_ce: 0.1825, decode.acc_seg: 92.3724, loss: 0.1825 +2023-03-05 03:51:18,330 - mmseg - INFO - Iter [92250/160000] lr: 9.375e-06, eta: 4:24:39, time: 0.197, data_time: 0.008, memory: 52540, decode.loss_ce: 0.1846, decode.acc_seg: 92.4589, loss: 0.1846 +2023-03-05 03:51:27,937 - mmseg - INFO - Iter [92300/160000] lr: 9.375e-06, eta: 4:24:26, time: 0.192, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1868, decode.acc_seg: 92.2179, loss: 0.1868 +2023-03-05 03:51:37,527 - mmseg - INFO - Iter [92350/160000] lr: 9.375e-06, eta: 4:24:12, time: 0.192, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1967, decode.acc_seg: 91.9534, loss: 0.1967 +2023-03-05 03:51:47,153 - mmseg - INFO - Iter [92400/160000] lr: 9.375e-06, eta: 4:23:59, time: 0.193, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1865, decode.acc_seg: 92.3385, loss: 0.1865 +2023-03-05 03:51:56,805 - mmseg - INFO - Iter [92450/160000] lr: 9.375e-06, eta: 4:23:46, time: 0.193, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1827, decode.acc_seg: 92.5586, loss: 0.1827 +2023-03-05 03:52:06,777 - mmseg - INFO - Iter [92500/160000] lr: 9.375e-06, eta: 4:23:33, time: 0.199, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1845, decode.acc_seg: 92.3744, loss: 0.1845 +2023-03-05 03:52:16,231 - mmseg - INFO - Iter [92550/160000] lr: 9.375e-06, eta: 4:23:19, time: 0.189, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1797, decode.acc_seg: 92.5727, loss: 0.1797 +2023-03-05 03:52:25,759 - mmseg - INFO - Iter [92600/160000] lr: 9.375e-06, eta: 4:23:06, time: 0.191, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1753, decode.acc_seg: 92.8666, loss: 0.1753 +2023-03-05 03:52:35,461 - mmseg - INFO - Iter [92650/160000] lr: 9.375e-06, eta: 4:22:53, time: 0.194, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1890, decode.acc_seg: 92.3546, loss: 0.1890 +2023-03-05 03:52:45,516 - mmseg - INFO - Iter [92700/160000] lr: 9.375e-06, eta: 4:22:40, time: 0.201, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1884, decode.acc_seg: 92.3065, loss: 0.1884 +2023-03-05 03:52:55,102 - mmseg - INFO - Iter [92750/160000] lr: 9.375e-06, eta: 4:22:27, time: 0.192, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1874, decode.acc_seg: 92.3607, loss: 0.1874 +2023-03-05 03:53:07,217 - mmseg - INFO - Iter [92800/160000] lr: 9.375e-06, eta: 4:22:15, time: 0.242, data_time: 0.054, memory: 52540, decode.loss_ce: 0.1868, decode.acc_seg: 92.3342, loss: 0.1868 +2023-03-05 03:53:16,698 - mmseg - INFO - Iter [92850/160000] lr: 9.375e-06, eta: 4:22:02, time: 0.190, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1834, decode.acc_seg: 92.5490, loss: 0.1834 +2023-03-05 03:53:26,489 - mmseg - INFO - Iter [92900/160000] lr: 9.375e-06, eta: 4:21:49, time: 0.196, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1879, decode.acc_seg: 92.3991, loss: 0.1879 +2023-03-05 03:53:35,988 - mmseg - INFO - Iter [92950/160000] lr: 9.375e-06, eta: 4:21:36, time: 0.190, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1913, decode.acc_seg: 92.1275, loss: 0.1913 +2023-03-05 03:53:45,497 - mmseg - INFO - Exp name: ablation_segformer_mit_b2_segformer_head_unet_fc_small_multi_step_ade_pretrained_freeze_embed_160k_ade20k151_mask_finetune_maskonly.py +2023-03-05 03:53:45,497 - mmseg - INFO - Iter [93000/160000] lr: 9.375e-06, eta: 4:21:22, time: 0.190, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1925, decode.acc_seg: 92.1237, loss: 0.1925 +2023-03-05 03:53:54,975 - mmseg - INFO - Iter [93050/160000] lr: 9.375e-06, eta: 4:21:09, time: 0.190, data_time: 0.008, memory: 52540, decode.loss_ce: 0.1862, decode.acc_seg: 92.2240, loss: 0.1862 +2023-03-05 03:54:04,513 - mmseg - INFO - Iter [93100/160000] lr: 9.375e-06, eta: 4:20:56, time: 0.191, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1804, decode.acc_seg: 92.6396, loss: 0.1804 +2023-03-05 03:54:14,099 - mmseg - INFO - Iter [93150/160000] lr: 9.375e-06, eta: 4:20:43, time: 0.192, data_time: 0.008, memory: 52540, decode.loss_ce: 0.1849, decode.acc_seg: 92.4949, loss: 0.1849 +2023-03-05 03:54:23,663 - mmseg - INFO - Iter [93200/160000] lr: 9.375e-06, eta: 4:20:29, time: 0.191, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1894, decode.acc_seg: 92.1649, loss: 0.1894 +2023-03-05 03:54:33,161 - mmseg - INFO - Iter [93250/160000] lr: 9.375e-06, eta: 4:20:16, time: 0.190, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1854, decode.acc_seg: 92.4683, loss: 0.1854 +2023-03-05 03:54:43,017 - mmseg - INFO - Iter [93300/160000] lr: 9.375e-06, eta: 4:20:03, time: 0.197, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1906, decode.acc_seg: 92.0357, loss: 0.1906 +2023-03-05 03:54:52,553 - mmseg - INFO - Iter [93350/160000] lr: 9.375e-06, eta: 4:19:50, time: 0.191, data_time: 0.008, memory: 52540, decode.loss_ce: 0.1855, decode.acc_seg: 92.4593, loss: 0.1855 +2023-03-05 03:55:04,605 - mmseg - INFO - Iter [93400/160000] lr: 9.375e-06, eta: 4:19:38, time: 0.241, data_time: 0.054, memory: 52540, decode.loss_ce: 0.1861, decode.acc_seg: 92.2852, loss: 0.1861 +2023-03-05 03:55:14,352 - mmseg - INFO - Iter [93450/160000] lr: 9.375e-06, eta: 4:19:25, time: 0.195, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1838, decode.acc_seg: 92.3751, loss: 0.1838 +2023-03-05 03:55:23,784 - mmseg - INFO - Iter [93500/160000] lr: 9.375e-06, eta: 4:19:12, time: 0.189, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1854, decode.acc_seg: 92.4394, loss: 0.1854 +2023-03-05 03:55:33,470 - mmseg - INFO - Iter [93550/160000] lr: 9.375e-06, eta: 4:18:59, time: 0.194, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1860, decode.acc_seg: 92.3851, loss: 0.1860 +2023-03-05 03:55:43,020 - mmseg - INFO - Iter [93600/160000] lr: 9.375e-06, eta: 4:18:46, time: 0.191, data_time: 0.008, memory: 52540, decode.loss_ce: 0.1833, decode.acc_seg: 92.5449, loss: 0.1833 +2023-03-05 03:55:52,753 - mmseg - INFO - Iter [93650/160000] lr: 9.375e-06, eta: 4:18:33, time: 0.195, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1936, decode.acc_seg: 91.9586, loss: 0.1936 +2023-03-05 03:56:02,426 - mmseg - INFO - Iter [93700/160000] lr: 9.375e-06, eta: 4:18:20, time: 0.193, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1867, decode.acc_seg: 92.4418, loss: 0.1867 +2023-03-05 03:56:11,913 - mmseg - INFO - Iter [93750/160000] lr: 9.375e-06, eta: 4:18:06, time: 0.190, data_time: 0.008, memory: 52540, decode.loss_ce: 0.1799, decode.acc_seg: 92.7247, loss: 0.1799 +2023-03-05 03:56:21,353 - mmseg - INFO - Iter [93800/160000] lr: 9.375e-06, eta: 4:17:53, time: 0.189, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1799, decode.acc_seg: 92.4673, loss: 0.1799 +2023-03-05 03:56:31,052 - mmseg - INFO - Iter [93850/160000] lr: 9.375e-06, eta: 4:17:40, time: 0.194, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1859, decode.acc_seg: 92.2593, loss: 0.1859 +2023-03-05 03:56:40,756 - mmseg - INFO - Iter [93900/160000] lr: 9.375e-06, eta: 4:17:27, time: 0.194, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1811, decode.acc_seg: 92.6216, loss: 0.1811 +2023-03-05 03:56:50,602 - mmseg - INFO - Iter [93950/160000] lr: 9.375e-06, eta: 4:17:14, time: 0.197, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1807, decode.acc_seg: 92.5504, loss: 0.1807 +2023-03-05 03:57:00,407 - mmseg - INFO - Exp name: ablation_segformer_mit_b2_segformer_head_unet_fc_small_multi_step_ade_pretrained_freeze_embed_160k_ade20k151_mask_finetune_maskonly.py +2023-03-05 03:57:00,407 - mmseg - INFO - Iter [94000/160000] lr: 9.375e-06, eta: 4:17:01, time: 0.196, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1806, decode.acc_seg: 92.6286, loss: 0.1806 +2023-03-05 03:57:12,668 - mmseg - INFO - Iter [94050/160000] lr: 9.375e-06, eta: 4:16:50, time: 0.245, data_time: 0.054, memory: 52540, decode.loss_ce: 0.1911, decode.acc_seg: 92.0899, loss: 0.1911 +2023-03-05 03:57:22,271 - mmseg - INFO - Iter [94100/160000] lr: 9.375e-06, eta: 4:16:36, time: 0.192, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1887, decode.acc_seg: 92.3912, loss: 0.1887 +2023-03-05 03:57:31,936 - mmseg - INFO - Iter [94150/160000] lr: 9.375e-06, eta: 4:16:23, time: 0.193, data_time: 0.008, memory: 52540, decode.loss_ce: 0.1768, decode.acc_seg: 92.6380, loss: 0.1768 +2023-03-05 03:57:41,706 - mmseg - INFO - Iter [94200/160000] lr: 9.375e-06, eta: 4:16:10, time: 0.195, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1843, decode.acc_seg: 92.3114, loss: 0.1843 +2023-03-05 03:57:51,175 - mmseg - INFO - Iter [94250/160000] lr: 9.375e-06, eta: 4:15:57, time: 0.189, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1867, decode.acc_seg: 92.3012, loss: 0.1867 +2023-03-05 03:58:00,795 - mmseg - INFO - Iter [94300/160000] lr: 9.375e-06, eta: 4:15:44, time: 0.192, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1821, decode.acc_seg: 92.6066, loss: 0.1821 +2023-03-05 03:58:10,241 - mmseg - INFO - Iter [94350/160000] lr: 9.375e-06, eta: 4:15:31, time: 0.189, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1807, decode.acc_seg: 92.6208, loss: 0.1807 +2023-03-05 03:58:19,817 - mmseg - INFO - Iter [94400/160000] lr: 9.375e-06, eta: 4:15:18, time: 0.192, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1825, decode.acc_seg: 92.5720, loss: 0.1825 +2023-03-05 03:58:29,479 - mmseg - INFO - Iter [94450/160000] lr: 9.375e-06, eta: 4:15:05, time: 0.193, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1848, decode.acc_seg: 92.5038, loss: 0.1848 +2023-03-05 03:58:39,190 - mmseg - INFO - Iter [94500/160000] lr: 9.375e-06, eta: 4:14:52, time: 0.194, data_time: 0.008, memory: 52540, decode.loss_ce: 0.1868, decode.acc_seg: 92.3346, loss: 0.1868 +2023-03-05 03:58:49,188 - mmseg - INFO - Iter [94550/160000] lr: 9.375e-06, eta: 4:14:39, time: 0.200, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1898, decode.acc_seg: 92.1948, loss: 0.1898 +2023-03-05 03:58:58,678 - mmseg - INFO - Iter [94600/160000] lr: 9.375e-06, eta: 4:14:25, time: 0.190, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1814, decode.acc_seg: 92.6412, loss: 0.1814 +2023-03-05 03:59:08,239 - mmseg - INFO - Iter [94650/160000] lr: 9.375e-06, eta: 4:14:12, time: 0.191, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1875, decode.acc_seg: 92.3419, loss: 0.1875 +2023-03-05 03:59:20,389 - mmseg - INFO - Iter [94700/160000] lr: 9.375e-06, eta: 4:14:01, time: 0.243, data_time: 0.056, memory: 52540, decode.loss_ce: 0.1807, decode.acc_seg: 92.4868, loss: 0.1807 +2023-03-05 03:59:29,897 - mmseg - INFO - Iter [94750/160000] lr: 9.375e-06, eta: 4:13:48, time: 0.190, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1902, decode.acc_seg: 92.2287, loss: 0.1902 +2023-03-05 03:59:39,493 - mmseg - INFO - Iter [94800/160000] lr: 9.375e-06, eta: 4:13:35, time: 0.192, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1826, decode.acc_seg: 92.5140, loss: 0.1826 +2023-03-05 03:59:49,422 - mmseg - INFO - Iter [94850/160000] lr: 9.375e-06, eta: 4:13:22, time: 0.199, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1858, decode.acc_seg: 92.3700, loss: 0.1858 +2023-03-05 03:59:59,043 - mmseg - INFO - Iter [94900/160000] lr: 9.375e-06, eta: 4:13:09, time: 0.192, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1871, decode.acc_seg: 92.2110, loss: 0.1871 +2023-03-05 04:00:08,640 - mmseg - INFO - Iter [94950/160000] lr: 9.375e-06, eta: 4:12:56, time: 0.192, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1872, decode.acc_seg: 92.1428, loss: 0.1872 +2023-03-05 04:00:18,327 - mmseg - INFO - Exp name: ablation_segformer_mit_b2_segformer_head_unet_fc_small_multi_step_ade_pretrained_freeze_embed_160k_ade20k151_mask_finetune_maskonly.py +2023-03-05 04:00:18,327 - mmseg - INFO - Iter [95000/160000] lr: 9.375e-06, eta: 4:12:43, time: 0.194, data_time: 0.008, memory: 52540, decode.loss_ce: 0.1733, decode.acc_seg: 92.7465, loss: 0.1733 +2023-03-05 04:00:27,864 - mmseg - INFO - Iter [95050/160000] lr: 9.375e-06, eta: 4:12:30, time: 0.191, data_time: 0.008, memory: 52540, decode.loss_ce: 0.1801, decode.acc_seg: 92.6715, loss: 0.1801 +2023-03-05 04:00:37,337 - mmseg - INFO - Iter [95100/160000] lr: 9.375e-06, eta: 4:12:16, time: 0.189, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1897, decode.acc_seg: 92.2744, loss: 0.1897 +2023-03-05 04:00:46,909 - mmseg - INFO - Iter [95150/160000] lr: 9.375e-06, eta: 4:12:03, time: 0.191, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1890, decode.acc_seg: 92.2320, loss: 0.1890 +2023-03-05 04:00:56,617 - mmseg - INFO - Iter [95200/160000] lr: 9.375e-06, eta: 4:11:50, time: 0.194, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1847, decode.acc_seg: 92.4282, loss: 0.1847 +2023-03-05 04:01:06,259 - mmseg - INFO - Iter [95250/160000] lr: 9.375e-06, eta: 4:11:37, time: 0.193, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1881, decode.acc_seg: 92.3670, loss: 0.1881 +2023-03-05 04:01:18,231 - mmseg - INFO - Iter [95300/160000] lr: 9.375e-06, eta: 4:11:26, time: 0.239, data_time: 0.055, memory: 52540, decode.loss_ce: 0.1870, decode.acc_seg: 92.4896, loss: 0.1870 +2023-03-05 04:01:27,718 - mmseg - INFO - Iter [95350/160000] lr: 9.375e-06, eta: 4:11:13, time: 0.190, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1814, decode.acc_seg: 92.6080, loss: 0.1814 +2023-03-05 04:01:37,273 - mmseg - INFO - Iter [95400/160000] lr: 9.375e-06, eta: 4:11:00, time: 0.191, data_time: 0.008, memory: 52540, decode.loss_ce: 0.1852, decode.acc_seg: 92.4602, loss: 0.1852 +2023-03-05 04:01:46,720 - mmseg - INFO - Iter [95450/160000] lr: 9.375e-06, eta: 4:10:47, time: 0.189, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1841, decode.acc_seg: 92.3588, loss: 0.1841 +2023-03-05 04:01:56,665 - mmseg - INFO - Iter [95500/160000] lr: 9.375e-06, eta: 4:10:34, time: 0.199, data_time: 0.008, memory: 52540, decode.loss_ce: 0.1844, decode.acc_seg: 92.4348, loss: 0.1844 +2023-03-05 04:02:06,183 - mmseg - INFO - Iter [95550/160000] lr: 9.375e-06, eta: 4:10:21, time: 0.190, data_time: 0.008, memory: 52540, decode.loss_ce: 0.1842, decode.acc_seg: 92.5237, loss: 0.1842 +2023-03-05 04:02:15,814 - mmseg - INFO - Iter [95600/160000] lr: 9.375e-06, eta: 4:10:08, time: 0.193, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1834, decode.acc_seg: 92.4944, loss: 0.1834 +2023-03-05 04:02:25,884 - mmseg - INFO - Iter [95650/160000] lr: 9.375e-06, eta: 4:09:55, time: 0.201, data_time: 0.008, memory: 52540, decode.loss_ce: 0.1812, decode.acc_seg: 92.5272, loss: 0.1812 +2023-03-05 04:02:35,428 - mmseg - INFO - Iter [95700/160000] lr: 9.375e-06, eta: 4:09:42, time: 0.191, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1853, decode.acc_seg: 92.3453, loss: 0.1853 +2023-03-05 04:02:44,974 - mmseg - INFO - Iter [95750/160000] lr: 9.375e-06, eta: 4:09:29, time: 0.191, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1849, decode.acc_seg: 92.4462, loss: 0.1849 +2023-03-05 04:02:54,517 - mmseg - INFO - Iter [95800/160000] lr: 9.375e-06, eta: 4:09:16, time: 0.191, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1765, decode.acc_seg: 92.6894, loss: 0.1765 +2023-03-05 04:03:04,294 - mmseg - INFO - Iter [95850/160000] lr: 9.375e-06, eta: 4:09:03, time: 0.196, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1865, decode.acc_seg: 92.3074, loss: 0.1865 +2023-03-05 04:03:14,091 - mmseg - INFO - Iter [95900/160000] lr: 9.375e-06, eta: 4:08:50, time: 0.196, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1876, decode.acc_seg: 92.3257, loss: 0.1876 +2023-03-05 04:03:26,561 - mmseg - INFO - Iter [95950/160000] lr: 9.375e-06, eta: 4:08:39, time: 0.249, data_time: 0.055, memory: 52540, decode.loss_ce: 0.1853, decode.acc_seg: 92.2937, loss: 0.1853 +2023-03-05 04:03:36,092 - mmseg - INFO - Swap parameters (after train) after iter [96000] +2023-03-05 04:03:36,104 - mmseg - INFO - Saving checkpoint at 96000 iterations +2023-03-05 04:03:37,592 - mmseg - INFO - Exp name: ablation_segformer_mit_b2_segformer_head_unet_fc_small_multi_step_ade_pretrained_freeze_embed_160k_ade20k151_mask_finetune_maskonly.py +2023-03-05 04:03:37,593 - mmseg - INFO - Iter [96000/160000] lr: 9.375e-06, eta: 4:08:27, time: 0.221, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1862, decode.acc_seg: 92.3961, loss: 0.1862 +2023-03-05 04:14:36,060 - mmseg - INFO - per class results: +2023-03-05 04:14:36,069 - mmseg - INFO - ++---------------------+-------------------------------------------------------------------+ +| Class | IoU 0,10,20,30,40,50,60,70,80,90,99 | ++---------------------+-------------------------------------------------------------------+ +| background | nan,nan,nan,nan,nan,nan,nan,nan,nan,nan,nan | +| wall | 77.3,77.49,77.49,77.49,77.5,77.49,77.49,77.49,77.48,77.48,77.51 | +| building | 81.76,81.78,81.79,81.77,81.77,81.77,81.77,81.77,81.76,81.76,81.78 | +| sky | 94.42,94.5,94.5,94.5,94.5,94.5,94.5,94.5,94.5,94.5,94.5 | +| floor | 81.62,81.88,81.89,81.89,81.91,81.91,81.89,81.89,81.88,81.89,81.91 | +| tree | 74.15,74.25,74.25,74.25,74.25,74.25,74.24,74.24,74.24,74.24,74.23 | +| ceiling | 84.94,85.37,85.38,85.38,85.38,85.38,85.37,85.37,85.37,85.38,85.36 | +| road | 82.03,81.87,81.83,81.83,81.82,81.83,81.83,81.85,81.84,81.85,81.78 | +| bed | 87.49,87.78,87.79,87.8,87.8,87.8,87.8,87.8,87.81,87.8,87.82 | +| windowpane | 60.63,60.95,60.98,60.99,60.99,61.0,61.0,60.98,60.98,60.98,61.05 | +| grass | 66.87,67.26,67.28,67.27,67.27,67.28,67.27,67.28,67.29,67.3,67.27 | +| cabinet | 59.92,60.71,60.71,60.71,60.7,60.7,60.7,60.71,60.73,60.72,60.75 | +| sidewalk | 64.36,63.95,63.97,63.95,63.97,63.96,63.95,63.95,63.95,63.96,63.84 | +| person | 79.75,79.93,79.92,79.92,79.92,79.93,79.92,79.91,79.94,79.93,79.94 | +| earth | 35.97,35.83,35.7,35.69,35.66,35.63,35.65,35.72,35.7,35.71,35.69 | +| door | 46.14,46.37,46.39,46.35,46.31,46.34,46.34,46.35,46.33,46.33,46.26 | +| table | 60.9,61.36,61.34,61.36,61.38,61.4,61.38,61.38,61.39,61.39,61.28 | +| mountain | 56.74,57.23,57.29,57.38,57.43,57.42,57.38,57.32,57.32,57.28,57.53 | +| plant | 49.92,49.9,49.9,49.93,49.92,49.91,49.91,49.91,49.91,49.9,49.94 | +| curtain | 73.81,74.72,74.78,74.82,74.83,74.81,74.79,74.78,74.76,74.78,74.9 | +| chair | 56.46,56.76,56.76,56.76,56.77,56.77,56.75,56.75,56.75,56.76,56.76 | +| car | 82.08,82.48,82.5,82.5,82.5,82.5,82.5,82.5,82.51,82.51,82.49 | +| water | 57.69,57.85,57.86,57.84,57.84,57.85,57.86,57.86,57.85,57.85,57.86 | +| painting | 70.61,70.07,70.04,69.99,70.0,70.04,70.05,70.06,70.02,70.03,70.05 | +| sofa | 64.29,65.01,65.0,65.01,65.04,65.03,65.03,65.03,65.0,64.99,65.03 | +| shelf | 43.82,43.88,43.94,43.92,43.93,43.93,43.93,43.93,43.94,43.94,44.0 | +| house | 42.8,43.13,43.04,42.79,42.74,42.72,42.68,42.69,42.64,42.65,42.58 | +| sea | 60.0,60.62,60.62,60.6,60.59,60.59,60.61,60.61,60.6,60.6,60.62 | +| mirror | 66.27,66.5,66.54,66.47,66.47,66.49,66.5,66.51,66.5,66.51,66.31 | +| rug | 63.44,64.57,64.67,64.67,64.69,64.72,64.7,64.66,64.68,64.65,64.83 | +| field | 30.43,30.63,30.64,30.63,30.63,30.64,30.65,30.64,30.64,30.65,30.69 | +| armchair | 37.47,38.28,38.24,38.27,38.28,38.29,38.26,38.27,38.27,38.28,38.26 | +| seat | 65.67,66.33,66.34,66.32,66.3,66.31,66.32,66.32,66.32,66.33,66.35 | +| fence | 41.6,40.94,40.91,40.96,40.96,40.98,40.98,40.96,40.97,40.97,40.86 | +| desk | 46.74,46.88,46.89,46.87,46.86,46.88,46.92,46.91,46.91,46.91,46.85 | +| rock | 36.84,37.02,36.99,36.98,36.98,36.97,36.96,36.97,36.98,36.97,36.94 | +| wardrobe | 56.17,56.86,56.81,56.84,56.82,56.8,56.81,56.83,56.85,56.84,56.83 | +| lamp | 62.28,62.97,63.0,62.96,62.98,62.99,62.96,62.94,62.95,62.96,62.88 | +| bathtub | 76.32,77.74,77.39,77.44,77.8,77.85,77.64,77.38,77.38,77.59,77.46 | +| railing | 32.94,33.16,33.21,33.22,33.25,33.27,33.26,33.24,33.22,33.21,33.1 | +| cushion | 56.66,57.77,57.8,57.78,57.8,57.82,57.82,57.81,57.8,57.8,57.86 | +| base | 18.98,21.72,21.74,21.76,21.71,21.79,21.73,21.75,21.79,21.76,21.54 | +| box | 23.66,24.43,24.43,24.4,24.38,24.38,24.35,24.36,24.35,24.35,24.46 | +| column | 46.56,47.23,47.25,47.32,47.34,47.24,47.3,47.33,47.27,47.29,47.38 | +| signboard | 37.84,37.81,37.81,37.81,37.78,37.81,37.8,37.76,37.82,37.8,37.81 | +| chest of drawers | 36.11,37.15,37.21,37.2,37.17,37.18,37.15,37.13,37.19,37.16,37.04 | +| counter | 30.12,29.86,29.81,29.81,29.78,29.76,29.77,29.78,29.8,29.76,29.68 | +| sand | 43.36,43.82,43.5,43.48,43.38,43.62,43.68,44.06,43.74,43.76,43.96 | +| sink | 68.06,68.37,68.39,68.33,68.31,68.3,68.29,68.28,68.29,68.28,68.31 | +| skyscraper | 55.06,49.82,49.89,49.81,49.85,49.78,49.58,49.64,49.64,49.61,49.71 | +| fireplace | 74.69,75.16,75.13,75.1,75.08,75.06,75.12,75.1,75.13,75.09,75.54 | +| refrigerator | 75.38,76.63,76.79,76.74,76.72,76.63,76.7,76.67,76.68,76.68,76.82 | +| grandstand | 53.77,54.65,54.71,54.71,54.71,54.7,54.71,54.72,54.66,54.69,54.67 | +| path | 21.87,22.06,22.3,22.29,22.29,22.28,22.3,22.3,22.29,22.29,22.31 | +| stairs | 32.73,31.18,31.25,31.26,31.27,31.3,31.26,31.27,31.22,31.26,31.28 | +| runway | 67.51,67.94,67.94,67.94,67.94,67.96,67.95,67.96,67.96,67.96,67.95 | +| case | 45.93,46.83,46.84,46.82,46.8,46.8,46.8,46.81,46.8,46.81,46.8 | +| pool table | 91.65,91.65,91.63,91.64,91.63,91.64,91.63,91.63,91.63,91.62,91.66 | +| pillow | 60.04,63.22,63.33,63.26,63.27,63.25,63.27,63.27,63.25,63.26,63.3 | +| screen door | 68.62,68.43,68.47,68.5,68.32,68.31,68.44,68.28,68.32,68.4,68.41 | +| stairway | 22.7,22.14,21.98,21.91,21.9,21.88,21.84,21.82,21.79,21.76,21.83 | +| river | 12.29,12.14,12.14,12.14,12.15,12.16,12.16,12.15,12.15,12.16,12.17 | +| bridge | 32.62,32.03,32.06,32.07,32.12,32.12,32.04,32.08,32.1,32.07,31.99 | +| bookcase | 46.72,46.81,46.81,46.75,46.74,46.74,46.74,46.75,46.74,46.75,46.9 | +| blind | 40.57,40.79,40.8,40.81,40.92,40.97,41.01,40.89,40.82,40.69,40.9 | +| coffee table | 53.36,52.49,52.54,52.55,52.62,52.61,52.63,52.62,52.61,52.64,52.5 | +| toilet | 83.33,83.2,83.19,83.19,83.19,83.2,83.2,83.22,83.21,83.2,83.18 | +| flower | 38.94,39.0,39.03,38.98,39.02,38.99,38.97,39.0,38.98,38.95,38.86 | +| book | 45.4,45.67,45.65,45.68,45.7,45.73,45.7,45.73,45.73,45.73,45.65 | +| hill | 16.14,17.03,17.08,17.09,17.07,17.0,16.99,17.0,17.05,17.03,17.26 | +| bench | 43.7,42.93,42.76,42.71,42.68,42.7,42.72,42.6,42.53,42.61,42.99 | +| countertop | 54.33,54.7,54.91,54.91,54.82,54.74,54.71,54.73,54.73,54.71,54.82 | +| stove | 71.81,71.6,71.6,71.56,71.57,71.57,71.57,71.59,71.57,71.57,71.71 | +| palm | 47.1,47.06,47.07,47.07,47.05,47.04,47.04,47.04,47.07,47.07,47.07 | +| kitchen island | 41.88,46.08,46.16,46.13,46.12,46.08,46.09,46.08,46.06,46.06,46.11 | +| computer | 60.1,59.69,59.75,59.72,59.72,59.71,59.77,59.72,59.71,59.69,59.84 | +| swivel chair | 43.71,44.35,44.36,44.43,44.47,44.46,44.39,44.39,44.44,44.42,44.57 | +| boat | 68.64,70.22,70.51,70.58,70.59,70.53,70.6,70.49,70.47,70.53,70.61 | +| bar | 23.98,24.49,24.46,24.48,24.49,24.48,24.5,24.5,24.5,24.49,24.4 | +| arcade machine | 69.01,72.46,72.67,72.61,72.69,72.79,72.76,72.83,72.77,72.76,72.25 | +| hovel | 34.3,31.07,31.12,31.03,31.06,31.06,31.0,31.04,30.97,31.0,30.95 | +| bus | 76.96,78.69,78.68,78.74,78.75,78.7,78.76,78.73,78.77,78.73,78.95 | +| towel | 62.22,63.09,63.05,63.08,63.15,63.19,63.19,63.21,63.19,63.17,63.11 | +| light | 55.6,56.24,56.2,56.22,56.22,56.2,56.14,56.16,56.15,56.18,56.35 | +| truck | 17.62,18.48,18.49,18.66,18.7,18.74,18.74,18.75,18.72,18.75,18.49 | +| tower | 6.46,6.25,6.06,6.11,6.09,6.12,6.1,6.09,6.05,6.01,5.92 | +| chandelier | 65.33,67.23,67.22,67.21,67.21,67.17,67.14,67.09,67.08,67.1,67.24 | +| awning | 21.45,23.35,23.34,23.39,23.39,23.41,23.39,23.39,23.37,23.34,23.37 | +| streetlight | 27.24,28.04,28.12,28.02,28.08,28.06,28.08,28.05,28.04,28.08,28.09 | +| booth | 41.78,44.67,44.69,44.71,44.77,44.78,44.75,44.79,44.77,44.77,44.75 | +| television receiver | 65.73,65.85,65.83,65.85,65.85,65.86,65.87,65.85,65.87,65.83,65.75 | +| airplane | 58.09,58.66,58.7,58.65,58.67,58.7,58.67,58.68,58.7,58.68,58.57 | +| dirt track | 18.8,20.55,20.67,20.73,20.72,20.67,20.74,20.71,20.72,20.69,20.62 | +| apparel | 34.47,34.95,34.88,34.91,34.98,34.92,34.95,34.95,34.98,34.96,35.31 | +| pole | 18.67,19.69,19.94,19.83,19.96,20.03,19.91,19.99,20.07,19.9,19.64 | +| land | 4.26,3.84,3.76,3.79,3.83,3.83,3.9,3.9,3.92,3.93,3.95 | +| bannister | 12.65,13.29,13.36,13.35,13.35,13.36,13.32,13.35,13.35,13.35,13.44 | +| escalator | 24.55,25.12,25.16,25.16,25.15,25.18,25.15,25.16,25.14,25.14,25.14 | +| ottoman | 40.39,41.29,41.11,41.12,41.1,41.08,41.14,41.1,41.2,41.15,41.22 | +| bottle | 35.94,36.39,36.28,36.38,36.31,36.36,36.41,36.31,36.36,36.26,36.33 | +| buffet | 35.4,37.12,37.25,37.36,37.37,37.47,37.55,37.46,37.32,37.4,37.72 | +| poster | 21.75,21.03,21.02,21.03,21.03,21.03,21.01,21.02,21.03,21.03,21.36 | +| stage | 13.72,14.38,14.36,14.37,14.38,14.37,14.38,14.37,14.38,14.38,14.32 | +| van | 37.55,38.23,38.12,38.13,38.11,38.07,38.16,38.15,38.13,38.14,38.12 | +| ship | 77.44,76.71,76.61,76.59,76.5,76.48,76.67,76.62,76.58,76.57,76.52 | +| fountain | 17.61,20.85,20.86,20.88,20.84,20.9,20.86,20.85,20.87,20.82,20.83 | +| conveyer belt | 85.51,85.55,85.58,85.61,85.63,85.61,85.64,85.67,85.66,85.66,85.39 | +| canopy | 26.88,26.37,26.33,26.22,26.55,26.39,26.29,26.19,26.49,26.29,26.33 | +| washer | 77.8,78.62,78.64,78.75,78.7,78.69,78.68,78.68,78.7,78.63,78.36 | +| plaything | 20.97,21.14,21.17,21.14,21.16,21.15,21.1,21.1,21.13,21.13,21.08 | +| swimming pool | 75.21,77.36,77.35,77.37,77.38,77.36,77.34,77.31,77.4,77.36,77.43 | +| stool | 43.84,44.62,44.63,44.66,44.73,44.73,44.81,44.79,44.71,44.7,44.77 | +| barrel | 46.4,47.55,47.79,48.06,47.67,47.65,47.53,47.44,47.83,47.56,51.61 | +| basket | 24.94,25.0,25.04,25.07,25.05,25.08,25.11,25.07,25.09,25.02,25.07 | +| waterfall | 50.7,50.54,50.65,50.63,50.63,50.62,50.57,50.57,50.56,50.57,50.81 | +| tent | 95.12,95.16,95.17,95.2,95.18,95.17,95.19,95.19,95.19,95.18,95.24 | +| bag | 15.32,15.65,15.62,15.6,15.61,15.58,15.61,15.59,15.58,15.58,15.82 | +| minibike | 63.43,63.52,63.52,63.49,63.53,63.52,63.51,63.53,63.53,63.54,63.53 | +| cradle | 84.69,85.46,85.53,85.48,85.44,85.44,85.44,85.46,85.44,85.46,85.63 | +| oven | 43.79,45.18,45.11,45.12,45.2,45.21,45.2,45.2,45.21,45.18,45.48 | +| ball | 42.1,43.35,43.43,43.43,43.52,43.43,43.37,43.44,43.35,43.44,43.5 | +| food | 53.81,54.07,54.05,54.05,54.08,54.05,54.02,54.04,54.01,54.09,53.99 | +| step | 6.29,6.39,6.35,6.34,6.3,6.31,6.25,6.25,6.25,6.27,6.31 | +| tank | 49.04,47.82,47.82,47.91,47.94,47.93,47.85,47.76,47.73,47.71,47.4 | +| trade name | 27.14,27.27,27.29,27.27,27.33,27.31,27.23,27.28,27.3,27.3,27.37 | +| microwave | 68.5,70.08,70.17,70.16,70.2,70.24,70.28,70.21,70.22,70.22,70.25 | +| pot | 30.97,30.7,30.69,30.7,30.69,30.68,30.7,30.67,30.67,30.69,30.59 | +| animal | 53.72,54.04,54.06,54.05,54.04,54.04,54.04,54.05,54.04,54.05,54.04 | +| bicycle | 53.51,54.65,54.76,54.63,54.74,54.6,54.58,54.58,54.59,54.54,54.96 | +| lake | 57.78,57.83,57.84,57.84,57.85,57.84,57.83,57.84,57.84,57.83,57.83 | +| dishwasher | 66.96,66.0,65.47,65.26,65.21,65.25,65.22,65.31,65.27,65.15,66.09 | +| screen | 67.82,65.23,65.1,65.22,65.13,65.14,65.14,65.05,65.23,65.08,65.23 | +| blanket | 19.34,20.3,20.43,20.28,20.25,20.33,20.32,20.42,20.32,20.41,20.44 | +| sculpture | 56.9,56.81,56.79,56.81,56.8,56.81,56.81,56.82,56.85,56.75,56.9 | +| hood | 59.79,59.45,59.4,59.4,59.4,59.43,59.42,59.37,59.43,59.36,59.43 | +| sconce | 43.19,43.61,43.54,43.5,43.47,43.42,43.52,43.53,43.49,43.55,43.51 | +| vase | 37.11,38.29,38.41,38.36,38.46,38.47,38.41,38.41,38.43,38.39,38.33 | +| traffic light | 33.78,33.67,33.74,33.65,33.71,33.7,33.69,33.68,33.67,33.68,33.5 | +| tray | 8.16,7.8,7.85,7.84,7.74,7.73,7.62,7.65,7.67,7.66,7.79 | +| ashcan | 41.1,40.63,40.42,40.44,40.37,40.4,40.49,40.49,40.41,40.42,40.17 | +| fan | 57.92,58.83,58.78,58.84,58.82,58.88,58.76,58.75,58.86,58.84,58.78 | +| pier | 46.96,43.28,45.26,44.21,45.49,45.55,45.3,45.41,45.37,45.32,44.17 | +| crt screen | 9.09,11.63,11.73,11.73,11.7,11.74,11.72,11.75,11.73,11.75,11.82 | +| plate | 52.46,52.95,52.89,52.93,52.92,52.93,52.95,52.93,52.94,52.96,53.03 | +| monitor | 32.71,32.09,32.64,32.79,32.92,32.98,32.37,32.6,32.79,32.74,33.46 | +| bulletin board | 34.94,36.83,36.89,36.89,36.95,36.87,36.91,36.9,36.93,36.91,36.74 | +| shower | 1.91,1.9,1.87,1.86,1.88,1.86,1.85,1.89,1.86,1.88,1.89 | +| radiator | 63.13,65.35,65.36,65.42,65.4,65.43,65.34,65.38,65.38,65.41,65.15 | +| glass | 13.78,13.31,13.35,13.31,13.35,13.33,13.31,13.36,13.31,13.36,13.19 | +| clock | 37.94,37.16,36.98,37.11,37.06,37.07,36.97,37.04,37.06,36.97,37.25 | +| flag | 36.17,36.26,36.2,36.2,36.2,36.18,36.11,36.11,36.14,36.14,36.29 | ++---------------------+-------------------------------------------------------------------+ +2023-03-05 04:14:36,069 - mmseg - INFO - Summary: +2023-03-05 04:14:36,069 - mmseg - INFO - ++-------------------------------------------------------------------+ +| mIoU 0,10,20,30,40,50,60,70,80,90,99 | ++-------------------------------------------------------------------+ +| 48.55,48.93,48.95,48.95,48.96,48.96,48.95,48.95,48.95,48.94,48.99 | ++-------------------------------------------------------------------+ +2023-03-05 04:14:36,069 - mmseg - INFO - Exp name: ablation_segformer_mit_b2_segformer_head_unet_fc_small_multi_step_ade_pretrained_freeze_embed_160k_ade20k151_mask_finetune_maskonly.py +2023-03-05 04:14:36,069 - mmseg - INFO - Iter(val) [250] mIoU: [0.4855, 0.4893, 0.4895, 0.4895, 0.4896, 0.4896, 0.4895, 0.4895, 0.4895, 0.4894, 0.4899], copy_paste: 48.55,48.93,48.95,48.95,48.96,48.96,48.95,48.95,48.95,48.94,48.99 +2023-03-05 04:14:36,077 - mmseg - INFO - Swap parameters (before train) before iter [96001] +2023-03-05 04:14:46,068 - mmseg - INFO - Iter [96050/160000] lr: 9.375e-06, eta: 4:15:32, time: 13.370, data_time: 13.177, memory: 52540, decode.loss_ce: 0.1794, decode.acc_seg: 92.7056, loss: 0.1794 +2023-03-05 04:14:56,005 - mmseg - INFO - Iter [96100/160000] lr: 9.375e-06, eta: 4:15:19, time: 0.199, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1794, decode.acc_seg: 92.7011, loss: 0.1794 +2023-03-05 04:15:05,781 - mmseg - INFO - Iter [96150/160000] lr: 9.375e-06, eta: 4:15:06, time: 0.196, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1891, decode.acc_seg: 92.3317, loss: 0.1891 +2023-03-05 04:15:15,518 - mmseg - INFO - Iter [96200/160000] lr: 9.375e-06, eta: 4:14:52, time: 0.195, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1806, decode.acc_seg: 92.7184, loss: 0.1806 +2023-03-05 04:15:25,267 - mmseg - INFO - Iter [96250/160000] lr: 9.375e-06, eta: 4:14:39, time: 0.195, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1895, decode.acc_seg: 92.2509, loss: 0.1895 +2023-03-05 04:15:35,023 - mmseg - INFO - Iter [96300/160000] lr: 9.375e-06, eta: 4:14:25, time: 0.195, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1922, decode.acc_seg: 92.2126, loss: 0.1922 +2023-03-05 04:15:44,562 - mmseg - INFO - Iter [96350/160000] lr: 9.375e-06, eta: 4:14:12, time: 0.191, data_time: 0.008, memory: 52540, decode.loss_ce: 0.1821, decode.acc_seg: 92.4607, loss: 0.1821 +2023-03-05 04:15:54,124 - mmseg - INFO - Iter [96400/160000] lr: 9.375e-06, eta: 4:13:58, time: 0.191, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1881, decode.acc_seg: 92.3198, loss: 0.1881 +2023-03-05 04:16:03,659 - mmseg - INFO - Iter [96450/160000] lr: 9.375e-06, eta: 4:13:44, time: 0.191, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1923, decode.acc_seg: 92.2269, loss: 0.1923 +2023-03-05 04:16:13,513 - mmseg - INFO - Iter [96500/160000] lr: 9.375e-06, eta: 4:13:31, time: 0.197, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1861, decode.acc_seg: 92.3571, loss: 0.1861 +2023-03-05 04:16:25,699 - mmseg - INFO - Iter [96550/160000] lr: 9.375e-06, eta: 4:13:19, time: 0.244, data_time: 0.057, memory: 52540, decode.loss_ce: 0.1891, decode.acc_seg: 92.1624, loss: 0.1891 +2023-03-05 04:16:35,214 - mmseg - INFO - Iter [96600/160000] lr: 9.375e-06, eta: 4:13:06, time: 0.190, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1785, decode.acc_seg: 92.6927, loss: 0.1785 +2023-03-05 04:16:44,799 - mmseg - INFO - Iter [96650/160000] lr: 9.375e-06, eta: 4:12:52, time: 0.192, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1843, decode.acc_seg: 92.4452, loss: 0.1843 +2023-03-05 04:16:54,362 - mmseg - INFO - Iter [96700/160000] lr: 9.375e-06, eta: 4:12:39, time: 0.191, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1837, decode.acc_seg: 92.3859, loss: 0.1837 +2023-03-05 04:17:03,915 - mmseg - INFO - Iter [96750/160000] lr: 9.375e-06, eta: 4:12:25, time: 0.191, data_time: 0.008, memory: 52540, decode.loss_ce: 0.1802, decode.acc_seg: 92.6115, loss: 0.1802 +2023-03-05 04:17:13,426 - mmseg - INFO - Iter [96800/160000] lr: 9.375e-06, eta: 4:12:11, time: 0.190, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1876, decode.acc_seg: 92.3420, loss: 0.1876 +2023-03-05 04:17:22,874 - mmseg - INFO - Iter [96850/160000] lr: 9.375e-06, eta: 4:11:58, time: 0.189, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1901, decode.acc_seg: 92.3200, loss: 0.1901 +2023-03-05 04:17:33,066 - mmseg - INFO - Iter [96900/160000] lr: 9.375e-06, eta: 4:11:45, time: 0.204, data_time: 0.008, memory: 52540, decode.loss_ce: 0.1877, decode.acc_seg: 92.3322, loss: 0.1877 +2023-03-05 04:17:42,537 - mmseg - INFO - Iter [96950/160000] lr: 9.375e-06, eta: 4:11:31, time: 0.189, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1870, decode.acc_seg: 92.2792, loss: 0.1870 +2023-03-05 04:17:52,383 - mmseg - INFO - Exp name: ablation_segformer_mit_b2_segformer_head_unet_fc_small_multi_step_ade_pretrained_freeze_embed_160k_ade20k151_mask_finetune_maskonly.py +2023-03-05 04:17:52,383 - mmseg - INFO - Iter [97000/160000] lr: 9.375e-06, eta: 4:11:18, time: 0.197, data_time: 0.008, memory: 52540, decode.loss_ce: 0.1868, decode.acc_seg: 92.2256, loss: 0.1868 +2023-03-05 04:18:01,896 - mmseg - INFO - Iter [97050/160000] lr: 9.375e-06, eta: 4:11:04, time: 0.190, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1847, decode.acc_seg: 92.3704, loss: 0.1847 +2023-03-05 04:18:11,462 - mmseg - INFO - Iter [97100/160000] lr: 9.375e-06, eta: 4:10:51, time: 0.191, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1839, decode.acc_seg: 92.3889, loss: 0.1839 +2023-03-05 04:18:21,046 - mmseg - INFO - Iter [97150/160000] lr: 9.375e-06, eta: 4:10:37, time: 0.192, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1878, decode.acc_seg: 92.3615, loss: 0.1878 +2023-03-05 04:18:33,435 - mmseg - INFO - Iter [97200/160000] lr: 9.375e-06, eta: 4:10:25, time: 0.248, data_time: 0.057, memory: 52540, decode.loss_ce: 0.1805, decode.acc_seg: 92.6411, loss: 0.1805 +2023-03-05 04:18:43,306 - mmseg - INFO - Iter [97250/160000] lr: 9.375e-06, eta: 4:10:12, time: 0.197, data_time: 0.008, memory: 52540, decode.loss_ce: 0.1864, decode.acc_seg: 92.2738, loss: 0.1864 +2023-03-05 04:18:53,034 - mmseg - INFO - Iter [97300/160000] lr: 9.375e-06, eta: 4:09:59, time: 0.195, data_time: 0.008, memory: 52540, decode.loss_ce: 0.1841, decode.acc_seg: 92.3398, loss: 0.1841 +2023-03-05 04:19:02,459 - mmseg - INFO - Iter [97350/160000] lr: 9.375e-06, eta: 4:09:45, time: 0.189, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1865, decode.acc_seg: 92.3344, loss: 0.1865 +2023-03-05 04:19:12,450 - mmseg - INFO - Iter [97400/160000] lr: 9.375e-06, eta: 4:09:32, time: 0.200, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1859, decode.acc_seg: 92.4645, loss: 0.1859 +2023-03-05 04:19:22,285 - mmseg - INFO - Iter [97450/160000] lr: 9.375e-06, eta: 4:09:19, time: 0.197, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1818, decode.acc_seg: 92.4624, loss: 0.1818 +2023-03-05 04:19:31,914 - mmseg - INFO - Iter [97500/160000] lr: 9.375e-06, eta: 4:09:05, time: 0.193, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1887, decode.acc_seg: 92.2982, loss: 0.1887 +2023-03-05 04:19:41,515 - mmseg - INFO - Iter [97550/160000] lr: 9.375e-06, eta: 4:08:52, time: 0.192, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1866, decode.acc_seg: 92.2282, loss: 0.1866 +2023-03-05 04:19:51,482 - mmseg - INFO - Iter [97600/160000] lr: 9.375e-06, eta: 4:08:38, time: 0.199, data_time: 0.008, memory: 52540, decode.loss_ce: 0.1806, decode.acc_seg: 92.6141, loss: 0.1806 +2023-03-05 04:20:01,005 - mmseg - INFO - Iter [97650/160000] lr: 9.375e-06, eta: 4:08:25, time: 0.190, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1798, decode.acc_seg: 92.5805, loss: 0.1798 +2023-03-05 04:20:10,701 - mmseg - INFO - Iter [97700/160000] lr: 9.375e-06, eta: 4:08:12, time: 0.194, data_time: 0.008, memory: 52540, decode.loss_ce: 0.1852, decode.acc_seg: 92.4401, loss: 0.1852 +2023-03-05 04:20:20,263 - mmseg - INFO - Iter [97750/160000] lr: 9.375e-06, eta: 4:07:58, time: 0.191, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1881, decode.acc_seg: 92.2511, loss: 0.1881 +2023-03-05 04:20:29,631 - mmseg - INFO - Iter [97800/160000] lr: 9.375e-06, eta: 4:07:44, time: 0.187, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1890, decode.acc_seg: 92.2757, loss: 0.1890 +2023-03-05 04:20:41,744 - mmseg - INFO - Iter [97850/160000] lr: 9.375e-06, eta: 4:07:33, time: 0.242, data_time: 0.056, memory: 52540, decode.loss_ce: 0.1874, decode.acc_seg: 92.3117, loss: 0.1874 +2023-03-05 04:20:51,639 - mmseg - INFO - Iter [97900/160000] lr: 9.375e-06, eta: 4:07:19, time: 0.198, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1832, decode.acc_seg: 92.5195, loss: 0.1832 +2023-03-05 04:21:01,336 - mmseg - INFO - Iter [97950/160000] lr: 9.375e-06, eta: 4:07:06, time: 0.194, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1826, decode.acc_seg: 92.4877, loss: 0.1826 +2023-03-05 04:21:11,327 - mmseg - INFO - Exp name: ablation_segformer_mit_b2_segformer_head_unet_fc_small_multi_step_ade_pretrained_freeze_embed_160k_ade20k151_mask_finetune_maskonly.py +2023-03-05 04:21:11,327 - mmseg - INFO - Iter [98000/160000] lr: 9.375e-06, eta: 4:06:53, time: 0.200, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1829, decode.acc_seg: 92.4018, loss: 0.1829 +2023-03-05 04:21:20,976 - mmseg - INFO - Iter [98050/160000] lr: 9.375e-06, eta: 4:06:39, time: 0.193, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1816, decode.acc_seg: 92.5678, loss: 0.1816 +2023-03-05 04:21:30,628 - mmseg - INFO - Iter [98100/160000] lr: 9.375e-06, eta: 4:06:26, time: 0.193, data_time: 0.008, memory: 52540, decode.loss_ce: 0.1880, decode.acc_seg: 92.3331, loss: 0.1880 +2023-03-05 04:21:40,182 - mmseg - INFO - Iter [98150/160000] lr: 9.375e-06, eta: 4:06:13, time: 0.191, data_time: 0.008, memory: 52540, decode.loss_ce: 0.1875, decode.acc_seg: 92.2609, loss: 0.1875 +2023-03-05 04:21:49,810 - mmseg - INFO - Iter [98200/160000] lr: 9.375e-06, eta: 4:05:59, time: 0.193, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1862, decode.acc_seg: 92.2502, loss: 0.1862 +2023-03-05 04:21:59,637 - mmseg - INFO - Iter [98250/160000] lr: 9.375e-06, eta: 4:05:46, time: 0.197, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1846, decode.acc_seg: 92.4494, loss: 0.1846 +2023-03-05 04:22:09,522 - mmseg - INFO - Iter [98300/160000] lr: 9.375e-06, eta: 4:05:33, time: 0.198, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1858, decode.acc_seg: 92.3449, loss: 0.1858 +2023-03-05 04:22:19,077 - mmseg - INFO - Iter [98350/160000] lr: 9.375e-06, eta: 4:05:19, time: 0.191, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1771, decode.acc_seg: 92.6521, loss: 0.1771 +2023-03-05 04:22:28,759 - mmseg - INFO - Iter [98400/160000] lr: 9.375e-06, eta: 4:05:06, time: 0.194, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1881, decode.acc_seg: 92.3461, loss: 0.1881 +2023-03-05 04:22:40,756 - mmseg - INFO - Iter [98450/160000] lr: 9.375e-06, eta: 4:04:54, time: 0.240, data_time: 0.053, memory: 52540, decode.loss_ce: 0.1914, decode.acc_seg: 92.0894, loss: 0.1914 +2023-03-05 04:22:50,223 - mmseg - INFO - Iter [98500/160000] lr: 9.375e-06, eta: 4:04:41, time: 0.189, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1845, decode.acc_seg: 92.3838, loss: 0.1845 +2023-03-05 04:23:00,368 - mmseg - INFO - Iter [98550/160000] lr: 9.375e-06, eta: 4:04:27, time: 0.203, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1917, decode.acc_seg: 92.2007, loss: 0.1917 +2023-03-05 04:23:09,914 - mmseg - INFO - Iter [98600/160000] lr: 9.375e-06, eta: 4:04:14, time: 0.191, data_time: 0.008, memory: 52540, decode.loss_ce: 0.1810, decode.acc_seg: 92.6233, loss: 0.1810 +2023-03-05 04:23:19,439 - mmseg - INFO - Iter [98650/160000] lr: 9.375e-06, eta: 4:04:01, time: 0.190, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1742, decode.acc_seg: 92.7721, loss: 0.1742 +2023-03-05 04:23:29,060 - mmseg - INFO - Iter [98700/160000] lr: 9.375e-06, eta: 4:03:47, time: 0.192, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1801, decode.acc_seg: 92.6159, loss: 0.1801 +2023-03-05 04:23:39,074 - mmseg - INFO - Iter [98750/160000] lr: 9.375e-06, eta: 4:03:34, time: 0.200, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1858, decode.acc_seg: 92.4451, loss: 0.1858 +2023-03-05 04:23:49,453 - mmseg - INFO - Iter [98800/160000] lr: 9.375e-06, eta: 4:03:21, time: 0.208, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1886, decode.acc_seg: 92.2753, loss: 0.1886 +2023-03-05 04:23:59,038 - mmseg - INFO - Iter [98850/160000] lr: 9.375e-06, eta: 4:03:08, time: 0.192, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1862, decode.acc_seg: 92.2976, loss: 0.1862 +2023-03-05 04:24:08,562 - mmseg - INFO - Iter [98900/160000] lr: 9.375e-06, eta: 4:02:54, time: 0.190, data_time: 0.008, memory: 52540, decode.loss_ce: 0.1811, decode.acc_seg: 92.5069, loss: 0.1811 +2023-03-05 04:24:18,104 - mmseg - INFO - Iter [98950/160000] lr: 9.375e-06, eta: 4:02:41, time: 0.191, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1921, decode.acc_seg: 92.0416, loss: 0.1921 +2023-03-05 04:24:27,792 - mmseg - INFO - Exp name: ablation_segformer_mit_b2_segformer_head_unet_fc_small_multi_step_ade_pretrained_freeze_embed_160k_ade20k151_mask_finetune_maskonly.py +2023-03-05 04:24:27,792 - mmseg - INFO - Iter [99000/160000] lr: 9.375e-06, eta: 4:02:28, time: 0.194, data_time: 0.008, memory: 52540, decode.loss_ce: 0.1844, decode.acc_seg: 92.3906, loss: 0.1844 +2023-03-05 04:24:37,374 - mmseg - INFO - Iter [99050/160000] lr: 9.375e-06, eta: 4:02:14, time: 0.191, data_time: 0.008, memory: 52540, decode.loss_ce: 0.1844, decode.acc_seg: 92.4266, loss: 0.1844 +2023-03-05 04:24:49,475 - mmseg - INFO - Iter [99100/160000] lr: 9.375e-06, eta: 4:02:03, time: 0.242, data_time: 0.054, memory: 52540, decode.loss_ce: 0.1822, decode.acc_seg: 92.4909, loss: 0.1822 +2023-03-05 04:24:59,036 - mmseg - INFO - Iter [99150/160000] lr: 9.375e-06, eta: 4:01:49, time: 0.191, data_time: 0.008, memory: 52540, decode.loss_ce: 0.1844, decode.acc_seg: 92.3889, loss: 0.1844 +2023-03-05 04:25:08,906 - mmseg - INFO - Iter [99200/160000] lr: 9.375e-06, eta: 4:01:36, time: 0.197, data_time: 0.008, memory: 52540, decode.loss_ce: 0.1841, decode.acc_seg: 92.4044, loss: 0.1841 +2023-03-05 04:25:18,435 - mmseg - INFO - Iter [99250/160000] lr: 9.375e-06, eta: 4:01:23, time: 0.191, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1926, decode.acc_seg: 92.2135, loss: 0.1926 +2023-03-05 04:25:28,219 - mmseg - INFO - Iter [99300/160000] lr: 9.375e-06, eta: 4:01:09, time: 0.196, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1840, decode.acc_seg: 92.3787, loss: 0.1840 +2023-03-05 04:25:38,109 - mmseg - INFO - Iter [99350/160000] lr: 9.375e-06, eta: 4:00:56, time: 0.198, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1869, decode.acc_seg: 92.3333, loss: 0.1869 +2023-03-05 04:25:47,574 - mmseg - INFO - Iter [99400/160000] lr: 9.375e-06, eta: 4:00:43, time: 0.189, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1850, decode.acc_seg: 92.4233, loss: 0.1850 +2023-03-05 04:25:57,133 - mmseg - INFO - Iter [99450/160000] lr: 9.375e-06, eta: 4:00:29, time: 0.191, data_time: 0.008, memory: 52540, decode.loss_ce: 0.1852, decode.acc_seg: 92.3569, loss: 0.1852 +2023-03-05 04:26:06,753 - mmseg - INFO - Iter [99500/160000] lr: 9.375e-06, eta: 4:00:16, time: 0.192, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1888, decode.acc_seg: 92.2422, loss: 0.1888 +2023-03-05 04:26:16,346 - mmseg - INFO - Iter [99550/160000] lr: 9.375e-06, eta: 4:00:03, time: 0.192, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1876, decode.acc_seg: 92.2793, loss: 0.1876 +2023-03-05 04:26:25,826 - mmseg - INFO - Iter [99600/160000] lr: 9.375e-06, eta: 3:59:49, time: 0.190, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1861, decode.acc_seg: 92.3976, loss: 0.1861 +2023-03-05 04:26:35,401 - mmseg - INFO - Iter [99650/160000] lr: 9.375e-06, eta: 3:59:36, time: 0.191, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1792, decode.acc_seg: 92.6066, loss: 0.1792 +2023-03-05 04:26:47,470 - mmseg - INFO - Iter [99700/160000] lr: 9.375e-06, eta: 3:59:24, time: 0.241, data_time: 0.054, memory: 52540, decode.loss_ce: 0.1861, decode.acc_seg: 92.3145, loss: 0.1861 +2023-03-05 04:26:56,982 - mmseg - INFO - Iter [99750/160000] lr: 9.375e-06, eta: 3:59:11, time: 0.190, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1832, decode.acc_seg: 92.5756, loss: 0.1832 +2023-03-05 04:27:06,409 - mmseg - INFO - Iter [99800/160000] lr: 9.375e-06, eta: 3:58:58, time: 0.189, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1818, decode.acc_seg: 92.5089, loss: 0.1818 +2023-03-05 04:27:16,037 - mmseg - INFO - Iter [99850/160000] lr: 9.375e-06, eta: 3:58:44, time: 0.193, data_time: 0.008, memory: 52540, decode.loss_ce: 0.1779, decode.acc_seg: 92.6063, loss: 0.1779 +2023-03-05 04:27:25,525 - mmseg - INFO - Iter [99900/160000] lr: 9.375e-06, eta: 3:58:31, time: 0.190, data_time: 0.008, memory: 52540, decode.loss_ce: 0.1832, decode.acc_seg: 92.4929, loss: 0.1832 +2023-03-05 04:27:35,295 - mmseg - INFO - Iter [99950/160000] lr: 9.375e-06, eta: 3:58:18, time: 0.195, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1931, decode.acc_seg: 92.1160, loss: 0.1931 +2023-03-05 04:27:44,709 - mmseg - INFO - Exp name: ablation_segformer_mit_b2_segformer_head_unet_fc_small_multi_step_ade_pretrained_freeze_embed_160k_ade20k151_mask_finetune_maskonly.py +2023-03-05 04:27:44,709 - mmseg - INFO - Iter [100000/160000] lr: 9.375e-06, eta: 3:58:04, time: 0.188, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1801, decode.acc_seg: 92.5741, loss: 0.1801 +2023-03-05 04:27:54,190 - mmseg - INFO - Iter [100050/160000] lr: 4.687e-06, eta: 3:57:51, time: 0.189, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1792, decode.acc_seg: 92.7540, loss: 0.1792 +2023-03-05 04:28:03,740 - mmseg - INFO - Iter [100100/160000] lr: 4.687e-06, eta: 3:57:38, time: 0.191, data_time: 0.008, memory: 52540, decode.loss_ce: 0.1792, decode.acc_seg: 92.6095, loss: 0.1792 +2023-03-05 04:28:13,202 - mmseg - INFO - Iter [100150/160000] lr: 4.687e-06, eta: 3:57:24, time: 0.189, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1912, decode.acc_seg: 92.1446, loss: 0.1912 +2023-03-05 04:28:22,819 - mmseg - INFO - Iter [100200/160000] lr: 4.687e-06, eta: 3:57:11, time: 0.192, data_time: 0.008, memory: 52540, decode.loss_ce: 0.1820, decode.acc_seg: 92.5575, loss: 0.1820 +2023-03-05 04:28:32,298 - mmseg - INFO - Iter [100250/160000] lr: 4.687e-06, eta: 3:56:58, time: 0.190, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1810, decode.acc_seg: 92.5273, loss: 0.1810 +2023-03-05 04:28:41,810 - mmseg - INFO - Iter [100300/160000] lr: 4.687e-06, eta: 3:56:44, time: 0.190, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1812, decode.acc_seg: 92.3707, loss: 0.1812 +2023-03-05 04:28:53,901 - mmseg - INFO - Iter [100350/160000] lr: 4.687e-06, eta: 3:56:33, time: 0.242, data_time: 0.053, memory: 52540, decode.loss_ce: 0.1818, decode.acc_seg: 92.5376, loss: 0.1818 +2023-03-05 04:29:03,613 - mmseg - INFO - Iter [100400/160000] lr: 4.687e-06, eta: 3:56:19, time: 0.194, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1852, decode.acc_seg: 92.3510, loss: 0.1852 +2023-03-05 04:29:13,443 - mmseg - INFO - Iter [100450/160000] lr: 4.687e-06, eta: 3:56:06, time: 0.197, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1887, decode.acc_seg: 92.3102, loss: 0.1887 +2023-03-05 04:29:23,409 - mmseg - INFO - Iter [100500/160000] lr: 4.687e-06, eta: 3:55:53, time: 0.199, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1845, decode.acc_seg: 92.4433, loss: 0.1845 +2023-03-05 04:29:32,927 - mmseg - INFO - Iter [100550/160000] lr: 4.687e-06, eta: 3:55:40, time: 0.190, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1807, decode.acc_seg: 92.6458, loss: 0.1807 +2023-03-05 04:29:42,599 - mmseg - INFO - Iter [100600/160000] lr: 4.687e-06, eta: 3:55:27, time: 0.193, data_time: 0.008, memory: 52540, decode.loss_ce: 0.1849, decode.acc_seg: 92.4017, loss: 0.1849 +2023-03-05 04:29:52,171 - mmseg - INFO - Iter [100650/160000] lr: 4.687e-06, eta: 3:55:13, time: 0.192, data_time: 0.008, memory: 52540, decode.loss_ce: 0.1761, decode.acc_seg: 92.8933, loss: 0.1761 +2023-03-05 04:30:02,358 - mmseg - INFO - Iter [100700/160000] lr: 4.687e-06, eta: 3:55:01, time: 0.204, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1816, decode.acc_seg: 92.5073, loss: 0.1816 +2023-03-05 04:30:12,325 - mmseg - INFO - Iter [100750/160000] lr: 4.687e-06, eta: 3:54:48, time: 0.199, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1883, decode.acc_seg: 92.3758, loss: 0.1883 +2023-03-05 04:30:21,746 - mmseg - INFO - Iter [100800/160000] lr: 4.687e-06, eta: 3:54:34, time: 0.188, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1825, decode.acc_seg: 92.4966, loss: 0.1825 +2023-03-05 04:30:31,288 - mmseg - INFO - Iter [100850/160000] lr: 4.687e-06, eta: 3:54:21, time: 0.191, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1849, decode.acc_seg: 92.4059, loss: 0.1849 +2023-03-05 04:30:40,696 - mmseg - INFO - Iter [100900/160000] lr: 4.687e-06, eta: 3:54:08, time: 0.188, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1880, decode.acc_seg: 92.3225, loss: 0.1880 +2023-03-05 04:30:50,341 - mmseg - INFO - Iter [100950/160000] lr: 4.687e-06, eta: 3:53:54, time: 0.193, data_time: 0.008, memory: 52540, decode.loss_ce: 0.1875, decode.acc_seg: 92.2894, loss: 0.1875 +2023-03-05 04:31:02,265 - mmseg - INFO - Exp name: ablation_segformer_mit_b2_segformer_head_unet_fc_small_multi_step_ade_pretrained_freeze_embed_160k_ade20k151_mask_finetune_maskonly.py +2023-03-05 04:31:02,266 - mmseg - INFO - Iter [101000/160000] lr: 4.687e-06, eta: 3:53:43, time: 0.238, data_time: 0.054, memory: 52540, decode.loss_ce: 0.1876, decode.acc_seg: 92.2934, loss: 0.1876 +2023-03-05 04:31:11,860 - mmseg - INFO - Iter [101050/160000] lr: 4.687e-06, eta: 3:53:29, time: 0.192, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1784, decode.acc_seg: 92.6194, loss: 0.1784 +2023-03-05 04:31:21,445 - mmseg - INFO - Iter [101100/160000] lr: 4.687e-06, eta: 3:53:16, time: 0.192, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1853, decode.acc_seg: 92.3948, loss: 0.1853 +2023-03-05 04:31:31,209 - mmseg - INFO - Iter [101150/160000] lr: 4.687e-06, eta: 3:53:03, time: 0.195, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1857, decode.acc_seg: 92.2814, loss: 0.1857 +2023-03-05 04:31:40,879 - mmseg - INFO - Iter [101200/160000] lr: 4.687e-06, eta: 3:52:50, time: 0.193, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1833, decode.acc_seg: 92.5309, loss: 0.1833 +2023-03-05 04:31:50,377 - mmseg - INFO - Iter [101250/160000] lr: 4.687e-06, eta: 3:52:37, time: 0.190, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1843, decode.acc_seg: 92.4421, loss: 0.1843 +2023-03-05 04:31:59,856 - mmseg - INFO - Iter [101300/160000] lr: 4.687e-06, eta: 3:52:23, time: 0.190, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1910, decode.acc_seg: 92.0820, loss: 0.1910 +2023-03-05 04:32:09,284 - mmseg - INFO - Iter [101350/160000] lr: 4.687e-06, eta: 3:52:10, time: 0.189, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1876, decode.acc_seg: 92.3706, loss: 0.1876 +2023-03-05 04:32:18,734 - mmseg - INFO - Iter [101400/160000] lr: 4.687e-06, eta: 3:51:57, time: 0.189, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1853, decode.acc_seg: 92.4661, loss: 0.1853 +2023-03-05 04:32:28,263 - mmseg - INFO - Iter [101450/160000] lr: 4.687e-06, eta: 3:51:43, time: 0.191, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1956, decode.acc_seg: 92.0780, loss: 0.1956 +2023-03-05 04:32:37,869 - mmseg - INFO - Iter [101500/160000] lr: 4.687e-06, eta: 3:51:30, time: 0.192, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1778, decode.acc_seg: 92.6252, loss: 0.1778 +2023-03-05 04:32:47,314 - mmseg - INFO - Iter [101550/160000] lr: 4.687e-06, eta: 3:51:17, time: 0.189, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1920, decode.acc_seg: 92.2633, loss: 0.1920 +2023-03-05 04:32:59,504 - mmseg - INFO - Iter [101600/160000] lr: 4.687e-06, eta: 3:51:05, time: 0.244, data_time: 0.056, memory: 52540, decode.loss_ce: 0.1781, decode.acc_seg: 92.5594, loss: 0.1781 +2023-03-05 04:33:09,285 - mmseg - INFO - Iter [101650/160000] lr: 4.687e-06, eta: 3:50:52, time: 0.196, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1838, decode.acc_seg: 92.3483, loss: 0.1838 +2023-03-05 04:33:18,765 - mmseg - INFO - Iter [101700/160000] lr: 4.687e-06, eta: 3:50:39, time: 0.190, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1819, decode.acc_seg: 92.6606, loss: 0.1819 +2023-03-05 04:33:28,528 - mmseg - INFO - Iter [101750/160000] lr: 4.687e-06, eta: 3:50:26, time: 0.195, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1861, decode.acc_seg: 92.3634, loss: 0.1861 +2023-03-05 04:33:37,971 - mmseg - INFO - Iter [101800/160000] lr: 4.687e-06, eta: 3:50:13, time: 0.189, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1852, decode.acc_seg: 92.2716, loss: 0.1852 +2023-03-05 04:33:47,663 - mmseg - INFO - Iter [101850/160000] lr: 4.687e-06, eta: 3:50:00, time: 0.194, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1744, decode.acc_seg: 92.7977, loss: 0.1744 +2023-03-05 04:33:57,097 - mmseg - INFO - Iter [101900/160000] lr: 4.687e-06, eta: 3:49:46, time: 0.189, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1845, decode.acc_seg: 92.3651, loss: 0.1845 +2023-03-05 04:34:06,674 - mmseg - INFO - Iter [101950/160000] lr: 4.687e-06, eta: 3:49:33, time: 0.192, data_time: 0.008, memory: 52540, decode.loss_ce: 0.1848, decode.acc_seg: 92.4206, loss: 0.1848 +2023-03-05 04:34:16,233 - mmseg - INFO - Exp name: ablation_segformer_mit_b2_segformer_head_unet_fc_small_multi_step_ade_pretrained_freeze_embed_160k_ade20k151_mask_finetune_maskonly.py +2023-03-05 04:34:16,233 - mmseg - INFO - Iter [102000/160000] lr: 4.687e-06, eta: 3:49:20, time: 0.191, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1846, decode.acc_seg: 92.4775, loss: 0.1846 +2023-03-05 04:34:25,760 - mmseg - INFO - Iter [102050/160000] lr: 4.687e-06, eta: 3:49:07, time: 0.191, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1894, decode.acc_seg: 92.2081, loss: 0.1894 +2023-03-05 04:34:35,306 - mmseg - INFO - Iter [102100/160000] lr: 4.687e-06, eta: 3:48:54, time: 0.191, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1816, decode.acc_seg: 92.7298, loss: 0.1816 +2023-03-05 04:34:45,096 - mmseg - INFO - Iter [102150/160000] lr: 4.687e-06, eta: 3:48:41, time: 0.196, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1838, decode.acc_seg: 92.3173, loss: 0.1838 +2023-03-05 04:34:55,379 - mmseg - INFO - Iter [102200/160000] lr: 4.687e-06, eta: 3:48:28, time: 0.206, data_time: 0.008, memory: 52540, decode.loss_ce: 0.1807, decode.acc_seg: 92.5719, loss: 0.1807 +2023-03-05 04:35:07,649 - mmseg - INFO - Iter [102250/160000] lr: 4.687e-06, eta: 3:48:16, time: 0.245, data_time: 0.055, memory: 52540, decode.loss_ce: 0.1880, decode.acc_seg: 92.3048, loss: 0.1880 +2023-03-05 04:35:17,484 - mmseg - INFO - Iter [102300/160000] lr: 4.687e-06, eta: 3:48:03, time: 0.197, data_time: 0.008, memory: 52540, decode.loss_ce: 0.1796, decode.acc_seg: 92.5584, loss: 0.1796 +2023-03-05 04:35:27,141 - mmseg - INFO - Iter [102350/160000] lr: 4.687e-06, eta: 3:47:50, time: 0.193, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1882, decode.acc_seg: 92.3464, loss: 0.1882 +2023-03-05 04:35:36,755 - mmseg - INFO - Iter [102400/160000] lr: 4.687e-06, eta: 3:47:37, time: 0.192, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1820, decode.acc_seg: 92.4905, loss: 0.1820 +2023-03-05 04:35:46,447 - mmseg - INFO - Iter [102450/160000] lr: 4.687e-06, eta: 3:47:24, time: 0.194, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1850, decode.acc_seg: 92.4924, loss: 0.1850 +2023-03-05 04:35:56,305 - mmseg - INFO - Iter [102500/160000] lr: 4.687e-06, eta: 3:47:11, time: 0.197, data_time: 0.008, memory: 52540, decode.loss_ce: 0.1765, decode.acc_seg: 92.7153, loss: 0.1765 +2023-03-05 04:36:06,023 - mmseg - INFO - Iter [102550/160000] lr: 4.687e-06, eta: 3:46:58, time: 0.194, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1865, decode.acc_seg: 92.3550, loss: 0.1865 +2023-03-05 04:36:15,695 - mmseg - INFO - Iter [102600/160000] lr: 4.687e-06, eta: 3:46:45, time: 0.193, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1850, decode.acc_seg: 92.3656, loss: 0.1850 +2023-03-05 04:36:25,285 - mmseg - INFO - Iter [102650/160000] lr: 4.687e-06, eta: 3:46:32, time: 0.192, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1844, decode.acc_seg: 92.5005, loss: 0.1844 +2023-03-05 04:36:34,754 - mmseg - INFO - Iter [102700/160000] lr: 4.687e-06, eta: 3:46:19, time: 0.190, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1843, decode.acc_seg: 92.4703, loss: 0.1843 +2023-03-05 04:36:44,377 - mmseg - INFO - Iter [102750/160000] lr: 4.687e-06, eta: 3:46:05, time: 0.192, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1818, decode.acc_seg: 92.6239, loss: 0.1818 +2023-03-05 04:36:53,927 - mmseg - INFO - Iter [102800/160000] lr: 4.687e-06, eta: 3:45:52, time: 0.191, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1815, decode.acc_seg: 92.5098, loss: 0.1815 +2023-03-05 04:37:03,426 - mmseg - INFO - Iter [102850/160000] lr: 4.687e-06, eta: 3:45:39, time: 0.190, data_time: 0.008, memory: 52540, decode.loss_ce: 0.1912, decode.acc_seg: 92.2283, loss: 0.1912 +2023-03-05 04:37:15,821 - mmseg - INFO - Iter [102900/160000] lr: 4.687e-06, eta: 3:45:28, time: 0.248, data_time: 0.054, memory: 52540, decode.loss_ce: 0.1796, decode.acc_seg: 92.5883, loss: 0.1796 +2023-03-05 04:37:25,502 - mmseg - INFO - Iter [102950/160000] lr: 4.687e-06, eta: 3:45:15, time: 0.194, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1747, decode.acc_seg: 92.7551, loss: 0.1747 +2023-03-05 04:37:34,994 - mmseg - INFO - Exp name: ablation_segformer_mit_b2_segformer_head_unet_fc_small_multi_step_ade_pretrained_freeze_embed_160k_ade20k151_mask_finetune_maskonly.py +2023-03-05 04:37:34,995 - mmseg - INFO - Iter [103000/160000] lr: 4.687e-06, eta: 3:45:01, time: 0.190, data_time: 0.008, memory: 52540, decode.loss_ce: 0.1799, decode.acc_seg: 92.6144, loss: 0.1799 +2023-03-05 04:37:44,482 - mmseg - INFO - Iter [103050/160000] lr: 4.687e-06, eta: 3:44:48, time: 0.190, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1780, decode.acc_seg: 92.5420, loss: 0.1780 +2023-03-05 04:37:54,103 - mmseg - INFO - Iter [103100/160000] lr: 4.687e-06, eta: 3:44:35, time: 0.192, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1860, decode.acc_seg: 92.2947, loss: 0.1860 +2023-03-05 04:38:04,021 - mmseg - INFO - Iter [103150/160000] lr: 4.687e-06, eta: 3:44:22, time: 0.198, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1862, decode.acc_seg: 92.5017, loss: 0.1862 +2023-03-05 04:38:13,489 - mmseg - INFO - Iter [103200/160000] lr: 4.687e-06, eta: 3:44:09, time: 0.189, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1798, decode.acc_seg: 92.5425, loss: 0.1798 +2023-03-05 04:38:23,236 - mmseg - INFO - Iter [103250/160000] lr: 4.687e-06, eta: 3:43:56, time: 0.195, data_time: 0.008, memory: 52540, decode.loss_ce: 0.1790, decode.acc_seg: 92.8505, loss: 0.1790 +2023-03-05 04:38:32,729 - mmseg - INFO - Iter [103300/160000] lr: 4.687e-06, eta: 3:43:43, time: 0.190, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1856, decode.acc_seg: 92.4388, loss: 0.1856 +2023-03-05 04:38:42,535 - mmseg - INFO - Iter [103350/160000] lr: 4.687e-06, eta: 3:43:30, time: 0.196, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1836, decode.acc_seg: 92.5227, loss: 0.1836 +2023-03-05 04:38:51,984 - mmseg - INFO - Iter [103400/160000] lr: 4.687e-06, eta: 3:43:17, time: 0.189, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1848, decode.acc_seg: 92.5375, loss: 0.1848 +2023-03-05 04:39:01,527 - mmseg - INFO - Iter [103450/160000] lr: 4.687e-06, eta: 3:43:04, time: 0.191, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1837, decode.acc_seg: 92.3961, loss: 0.1837 +2023-03-05 04:39:13,908 - mmseg - INFO - Iter [103500/160000] lr: 4.687e-06, eta: 3:42:52, time: 0.248, data_time: 0.054, memory: 52540, decode.loss_ce: 0.1879, decode.acc_seg: 92.1497, loss: 0.1879 +2023-03-05 04:39:23,403 - mmseg - INFO - Iter [103550/160000] lr: 4.687e-06, eta: 3:42:39, time: 0.190, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1866, decode.acc_seg: 92.3555, loss: 0.1866 +2023-03-05 04:39:32,847 - mmseg - INFO - Iter [103600/160000] lr: 4.687e-06, eta: 3:42:26, time: 0.189, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1857, decode.acc_seg: 92.2865, loss: 0.1857 +2023-03-05 04:39:42,931 - mmseg - INFO - Iter [103650/160000] lr: 4.687e-06, eta: 3:42:13, time: 0.202, data_time: 0.008, memory: 52540, decode.loss_ce: 0.1859, decode.acc_seg: 92.4232, loss: 0.1859 +2023-03-05 04:39:52,626 - mmseg - INFO - Iter [103700/160000] lr: 4.687e-06, eta: 3:42:00, time: 0.194, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1887, decode.acc_seg: 92.3138, loss: 0.1887 +2023-03-05 04:40:02,255 - mmseg - INFO - Iter [103750/160000] lr: 4.687e-06, eta: 3:41:47, time: 0.193, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1905, decode.acc_seg: 92.2765, loss: 0.1905 +2023-03-05 04:40:11,839 - mmseg - INFO - Iter [103800/160000] lr: 4.687e-06, eta: 3:41:34, time: 0.192, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1836, decode.acc_seg: 92.4605, loss: 0.1836 +2023-03-05 04:40:21,413 - mmseg - INFO - Iter [103850/160000] lr: 4.687e-06, eta: 3:41:21, time: 0.192, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1764, decode.acc_seg: 92.7455, loss: 0.1764 +2023-03-05 04:40:31,231 - mmseg - INFO - Iter [103900/160000] lr: 4.687e-06, eta: 3:41:08, time: 0.196, data_time: 0.008, memory: 52540, decode.loss_ce: 0.1776, decode.acc_seg: 92.6510, loss: 0.1776 +2023-03-05 04:40:40,934 - mmseg - INFO - Iter [103950/160000] lr: 4.687e-06, eta: 3:40:55, time: 0.194, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1853, decode.acc_seg: 92.5048, loss: 0.1853 +2023-03-05 04:40:50,368 - mmseg - INFO - Exp name: ablation_segformer_mit_b2_segformer_head_unet_fc_small_multi_step_ade_pretrained_freeze_embed_160k_ade20k151_mask_finetune_maskonly.py +2023-03-05 04:40:50,368 - mmseg - INFO - Iter [104000/160000] lr: 4.687e-06, eta: 3:40:42, time: 0.189, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1785, decode.acc_seg: 92.6434, loss: 0.1785 +2023-03-05 04:41:00,190 - mmseg - INFO - Iter [104050/160000] lr: 4.687e-06, eta: 3:40:29, time: 0.196, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1866, decode.acc_seg: 92.3078, loss: 0.1866 +2023-03-05 04:41:09,641 - mmseg - INFO - Iter [104100/160000] lr: 4.687e-06, eta: 3:40:16, time: 0.189, data_time: 0.008, memory: 52540, decode.loss_ce: 0.1835, decode.acc_seg: 92.4968, loss: 0.1835 +2023-03-05 04:41:21,699 - mmseg - INFO - Iter [104150/160000] lr: 4.687e-06, eta: 3:40:05, time: 0.241, data_time: 0.055, memory: 52540, decode.loss_ce: 0.1878, decode.acc_seg: 92.2580, loss: 0.1878 +2023-03-05 04:41:31,400 - mmseg - INFO - Iter [104200/160000] lr: 4.687e-06, eta: 3:39:52, time: 0.194, data_time: 0.008, memory: 52540, decode.loss_ce: 0.1785, decode.acc_seg: 92.4548, loss: 0.1785 +2023-03-05 04:41:40,969 - mmseg - INFO - Iter [104250/160000] lr: 4.687e-06, eta: 3:39:39, time: 0.191, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1795, decode.acc_seg: 92.6159, loss: 0.1795 +2023-03-05 04:41:50,457 - mmseg - INFO - Iter [104300/160000] lr: 4.687e-06, eta: 3:39:25, time: 0.190, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1945, decode.acc_seg: 92.1419, loss: 0.1945 +2023-03-05 04:42:00,033 - mmseg - INFO - Iter [104350/160000] lr: 4.687e-06, eta: 3:39:12, time: 0.192, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1779, decode.acc_seg: 92.6640, loss: 0.1779 +2023-03-05 04:42:09,530 - mmseg - INFO - Iter [104400/160000] lr: 4.687e-06, eta: 3:38:59, time: 0.190, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1854, decode.acc_seg: 92.4761, loss: 0.1854 +2023-03-05 04:42:19,066 - mmseg - INFO - Iter [104450/160000] lr: 4.687e-06, eta: 3:38:46, time: 0.190, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1770, decode.acc_seg: 92.6343, loss: 0.1770 +2023-03-05 04:42:28,669 - mmseg - INFO - Iter [104500/160000] lr: 4.687e-06, eta: 3:38:33, time: 0.192, data_time: 0.008, memory: 52540, decode.loss_ce: 0.1886, decode.acc_seg: 92.3057, loss: 0.1886 +2023-03-05 04:42:38,819 - mmseg - INFO - Iter [104550/160000] lr: 4.687e-06, eta: 3:38:21, time: 0.203, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1893, decode.acc_seg: 92.1713, loss: 0.1893 +2023-03-05 04:42:48,309 - mmseg - INFO - Iter [104600/160000] lr: 4.687e-06, eta: 3:38:08, time: 0.190, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1916, decode.acc_seg: 92.2525, loss: 0.1916 +2023-03-05 04:42:57,780 - mmseg - INFO - Iter [104650/160000] lr: 4.687e-06, eta: 3:37:55, time: 0.189, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1823, decode.acc_seg: 92.5239, loss: 0.1823 +2023-03-05 04:43:07,326 - mmseg - INFO - Iter [104700/160000] lr: 4.687e-06, eta: 3:37:42, time: 0.191, data_time: 0.008, memory: 52540, decode.loss_ce: 0.1872, decode.acc_seg: 92.4245, loss: 0.1872 +2023-03-05 04:43:19,661 - mmseg - INFO - Iter [104750/160000] lr: 4.687e-06, eta: 3:37:30, time: 0.247, data_time: 0.058, memory: 52540, decode.loss_ce: 0.1940, decode.acc_seg: 91.9287, loss: 0.1940 +2023-03-05 04:43:29,311 - mmseg - INFO - Iter [104800/160000] lr: 4.687e-06, eta: 3:37:17, time: 0.193, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1887, decode.acc_seg: 92.4258, loss: 0.1887 +2023-03-05 04:43:39,034 - mmseg - INFO - Iter [104850/160000] lr: 4.687e-06, eta: 3:37:04, time: 0.195, data_time: 0.008, memory: 52540, decode.loss_ce: 0.1923, decode.acc_seg: 92.1530, loss: 0.1923 +2023-03-05 04:43:48,746 - mmseg - INFO - Iter [104900/160000] lr: 4.687e-06, eta: 3:36:51, time: 0.194, data_time: 0.008, memory: 52540, decode.loss_ce: 0.1792, decode.acc_seg: 92.6877, loss: 0.1792 +2023-03-05 04:43:58,219 - mmseg - INFO - Iter [104950/160000] lr: 4.687e-06, eta: 3:36:38, time: 0.189, data_time: 0.008, memory: 52540, decode.loss_ce: 0.1878, decode.acc_seg: 92.3484, loss: 0.1878 +2023-03-05 04:44:07,799 - mmseg - INFO - Exp name: ablation_segformer_mit_b2_segformer_head_unet_fc_small_multi_step_ade_pretrained_freeze_embed_160k_ade20k151_mask_finetune_maskonly.py +2023-03-05 04:44:07,799 - mmseg - INFO - Iter [105000/160000] lr: 4.687e-06, eta: 3:36:25, time: 0.192, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1799, decode.acc_seg: 92.5580, loss: 0.1799 +2023-03-05 04:44:17,422 - mmseg - INFO - Iter [105050/160000] lr: 4.687e-06, eta: 3:36:12, time: 0.192, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1834, decode.acc_seg: 92.3506, loss: 0.1834 +2023-03-05 04:44:26,978 - mmseg - INFO - Iter [105100/160000] lr: 4.687e-06, eta: 3:35:59, time: 0.191, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1878, decode.acc_seg: 92.1978, loss: 0.1878 +2023-03-05 04:44:36,549 - mmseg - INFO - Iter [105150/160000] lr: 4.687e-06, eta: 3:35:46, time: 0.191, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1819, decode.acc_seg: 92.4654, loss: 0.1819 +2023-03-05 04:44:45,997 - mmseg - INFO - Iter [105200/160000] lr: 4.687e-06, eta: 3:35:33, time: 0.189, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1830, decode.acc_seg: 92.5798, loss: 0.1830 +2023-03-05 04:44:55,442 - mmseg - INFO - Iter [105250/160000] lr: 4.687e-06, eta: 3:35:20, time: 0.189, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1906, decode.acc_seg: 92.3900, loss: 0.1906 +2023-03-05 04:45:04,985 - mmseg - INFO - Iter [105300/160000] lr: 4.687e-06, eta: 3:35:07, time: 0.191, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1782, decode.acc_seg: 92.4797, loss: 0.1782 +2023-03-05 04:45:14,466 - mmseg - INFO - Iter [105350/160000] lr: 4.687e-06, eta: 3:34:54, time: 0.190, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1872, decode.acc_seg: 92.2352, loss: 0.1872 +2023-03-05 04:45:26,706 - mmseg - INFO - Iter [105400/160000] lr: 4.687e-06, eta: 3:34:43, time: 0.245, data_time: 0.054, memory: 52540, decode.loss_ce: 0.1874, decode.acc_seg: 92.4614, loss: 0.1874 +2023-03-05 04:45:36,488 - mmseg - INFO - Iter [105450/160000] lr: 4.687e-06, eta: 3:34:30, time: 0.196, data_time: 0.008, memory: 52540, decode.loss_ce: 0.1893, decode.acc_seg: 92.3282, loss: 0.1893 +2023-03-05 04:45:46,171 - mmseg - INFO - Iter [105500/160000] lr: 4.687e-06, eta: 3:34:17, time: 0.194, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1893, decode.acc_seg: 92.2525, loss: 0.1893 +2023-03-05 04:45:55,781 - mmseg - INFO - Iter [105550/160000] lr: 4.687e-06, eta: 3:34:04, time: 0.192, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1769, decode.acc_seg: 92.8057, loss: 0.1769 +2023-03-05 04:46:05,198 - mmseg - INFO - Iter [105600/160000] lr: 4.687e-06, eta: 3:33:51, time: 0.188, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1848, decode.acc_seg: 92.4739, loss: 0.1848 +2023-03-05 04:46:14,687 - mmseg - INFO - Iter [105650/160000] lr: 4.687e-06, eta: 3:33:38, time: 0.190, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1825, decode.acc_seg: 92.5475, loss: 0.1825 +2023-03-05 04:46:24,570 - mmseg - INFO - Iter [105700/160000] lr: 4.687e-06, eta: 3:33:25, time: 0.198, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1879, decode.acc_seg: 92.3154, loss: 0.1879 +2023-03-05 04:46:34,291 - mmseg - INFO - Iter [105750/160000] lr: 4.687e-06, eta: 3:33:13, time: 0.194, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1854, decode.acc_seg: 92.2954, loss: 0.1854 +2023-03-05 04:46:44,221 - mmseg - INFO - Iter [105800/160000] lr: 4.687e-06, eta: 3:33:00, time: 0.199, data_time: 0.008, memory: 52540, decode.loss_ce: 0.1849, decode.acc_seg: 92.4528, loss: 0.1849 +2023-03-05 04:46:53,867 - mmseg - INFO - Iter [105850/160000] lr: 4.687e-06, eta: 3:32:47, time: 0.193, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1819, decode.acc_seg: 92.4537, loss: 0.1819 +2023-03-05 04:47:03,482 - mmseg - INFO - Iter [105900/160000] lr: 4.687e-06, eta: 3:32:34, time: 0.192, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1852, decode.acc_seg: 92.3943, loss: 0.1852 +2023-03-05 04:47:13,046 - mmseg - INFO - Iter [105950/160000] lr: 4.687e-06, eta: 3:32:21, time: 0.191, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1855, decode.acc_seg: 92.2877, loss: 0.1855 +2023-03-05 04:47:22,622 - mmseg - INFO - Exp name: ablation_segformer_mit_b2_segformer_head_unet_fc_small_multi_step_ade_pretrained_freeze_embed_160k_ade20k151_mask_finetune_maskonly.py +2023-03-05 04:47:22,622 - mmseg - INFO - Iter [106000/160000] lr: 4.687e-06, eta: 3:32:08, time: 0.192, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1850, decode.acc_seg: 92.3770, loss: 0.1850 +2023-03-05 04:47:34,764 - mmseg - INFO - Iter [106050/160000] lr: 4.687e-06, eta: 3:31:57, time: 0.243, data_time: 0.055, memory: 52540, decode.loss_ce: 0.1809, decode.acc_seg: 92.5428, loss: 0.1809 +2023-03-05 04:47:45,019 - mmseg - INFO - Iter [106100/160000] lr: 4.687e-06, eta: 3:31:44, time: 0.205, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1875, decode.acc_seg: 92.2231, loss: 0.1875 +2023-03-05 04:47:54,563 - mmseg - INFO - Iter [106150/160000] lr: 4.687e-06, eta: 3:31:31, time: 0.191, data_time: 0.008, memory: 52540, decode.loss_ce: 0.1828, decode.acc_seg: 92.6186, loss: 0.1828 +2023-03-05 04:48:04,267 - mmseg - INFO - Iter [106200/160000] lr: 4.687e-06, eta: 3:31:18, time: 0.194, data_time: 0.008, memory: 52540, decode.loss_ce: 0.1867, decode.acc_seg: 92.4298, loss: 0.1867 +2023-03-05 04:48:13,897 - mmseg - INFO - Iter [106250/160000] lr: 4.687e-06, eta: 3:31:05, time: 0.193, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1846, decode.acc_seg: 92.3533, loss: 0.1846 +2023-03-05 04:48:23,529 - mmseg - INFO - Iter [106300/160000] lr: 4.687e-06, eta: 3:30:52, time: 0.193, data_time: 0.008, memory: 52540, decode.loss_ce: 0.1748, decode.acc_seg: 92.7795, loss: 0.1748 +2023-03-05 04:48:33,135 - mmseg - INFO - Iter [106350/160000] lr: 4.687e-06, eta: 3:30:40, time: 0.192, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1799, decode.acc_seg: 92.6203, loss: 0.1799 +2023-03-05 04:48:42,787 - mmseg - INFO - Iter [106400/160000] lr: 4.687e-06, eta: 3:30:27, time: 0.193, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1827, decode.acc_seg: 92.4405, loss: 0.1827 +2023-03-05 04:48:52,496 - mmseg - INFO - Iter [106450/160000] lr: 4.687e-06, eta: 3:30:14, time: 0.194, data_time: 0.008, memory: 52540, decode.loss_ce: 0.1822, decode.acc_seg: 92.4602, loss: 0.1822 +2023-03-05 04:49:02,161 - mmseg - INFO - Iter [106500/160000] lr: 4.687e-06, eta: 3:30:01, time: 0.193, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1844, decode.acc_seg: 92.4990, loss: 0.1844 +2023-03-05 04:49:11,946 - mmseg - INFO - Iter [106550/160000] lr: 4.687e-06, eta: 3:29:48, time: 0.196, data_time: 0.008, memory: 52540, decode.loss_ce: 0.1859, decode.acc_seg: 92.5877, loss: 0.1859 +2023-03-05 04:49:21,390 - mmseg - INFO - Iter [106600/160000] lr: 4.687e-06, eta: 3:29:35, time: 0.189, data_time: 0.008, memory: 52540, decode.loss_ce: 0.1800, decode.acc_seg: 92.5497, loss: 0.1800 +2023-03-05 04:49:33,464 - mmseg - INFO - Iter [106650/160000] lr: 4.687e-06, eta: 3:29:24, time: 0.241, data_time: 0.054, memory: 52540, decode.loss_ce: 0.1793, decode.acc_seg: 92.6286, loss: 0.1793 +2023-03-05 04:49:43,041 - mmseg - INFO - Iter [106700/160000] lr: 4.687e-06, eta: 3:29:11, time: 0.192, data_time: 0.008, memory: 52540, decode.loss_ce: 0.1776, decode.acc_seg: 92.6642, loss: 0.1776 +2023-03-05 04:49:52,966 - mmseg - INFO - Iter [106750/160000] lr: 4.687e-06, eta: 3:28:58, time: 0.198, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1815, decode.acc_seg: 92.6267, loss: 0.1815 +2023-03-05 04:50:02,547 - mmseg - INFO - Iter [106800/160000] lr: 4.687e-06, eta: 3:28:45, time: 0.192, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1741, decode.acc_seg: 92.8455, loss: 0.1741 +2023-03-05 04:50:12,254 - mmseg - INFO - Iter [106850/160000] lr: 4.687e-06, eta: 3:28:32, time: 0.194, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1833, decode.acc_seg: 92.4204, loss: 0.1833 +2023-03-05 04:50:21,795 - mmseg - INFO - Iter [106900/160000] lr: 4.687e-06, eta: 3:28:20, time: 0.191, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1887, decode.acc_seg: 92.2861, loss: 0.1887 +2023-03-05 04:50:31,441 - mmseg - INFO - Iter [106950/160000] lr: 4.687e-06, eta: 3:28:07, time: 0.193, data_time: 0.008, memory: 52540, decode.loss_ce: 0.1854, decode.acc_seg: 92.5535, loss: 0.1854 +2023-03-05 04:50:40,978 - mmseg - INFO - Exp name: ablation_segformer_mit_b2_segformer_head_unet_fc_small_multi_step_ade_pretrained_freeze_embed_160k_ade20k151_mask_finetune_maskonly.py +2023-03-05 04:50:40,979 - mmseg - INFO - Iter [107000/160000] lr: 4.687e-06, eta: 3:27:54, time: 0.191, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1766, decode.acc_seg: 92.5369, loss: 0.1766 +2023-03-05 04:50:50,785 - mmseg - INFO - Iter [107050/160000] lr: 4.687e-06, eta: 3:27:41, time: 0.196, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1975, decode.acc_seg: 92.0605, loss: 0.1975 +2023-03-05 04:51:00,608 - mmseg - INFO - Iter [107100/160000] lr: 4.687e-06, eta: 3:27:28, time: 0.196, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1740, decode.acc_seg: 92.6949, loss: 0.1740 +2023-03-05 04:51:09,995 - mmseg - INFO - Iter [107150/160000] lr: 4.687e-06, eta: 3:27:16, time: 0.188, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1868, decode.acc_seg: 92.4014, loss: 0.1868 +2023-03-05 04:51:19,478 - mmseg - INFO - Iter [107200/160000] lr: 4.687e-06, eta: 3:27:03, time: 0.190, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1838, decode.acc_seg: 92.4649, loss: 0.1838 +2023-03-05 04:51:29,763 - mmseg - INFO - Iter [107250/160000] lr: 4.687e-06, eta: 3:26:50, time: 0.206, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1789, decode.acc_seg: 92.6386, loss: 0.1789 +2023-03-05 04:51:41,795 - mmseg - INFO - Iter [107300/160000] lr: 4.687e-06, eta: 3:26:38, time: 0.241, data_time: 0.055, memory: 52540, decode.loss_ce: 0.1824, decode.acc_seg: 92.5211, loss: 0.1824 +2023-03-05 04:51:51,463 - mmseg - INFO - Iter [107350/160000] lr: 4.687e-06, eta: 3:26:26, time: 0.193, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1859, decode.acc_seg: 92.4070, loss: 0.1859 +2023-03-05 04:52:01,174 - mmseg - INFO - Iter [107400/160000] lr: 4.687e-06, eta: 3:26:13, time: 0.194, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1788, decode.acc_seg: 92.4955, loss: 0.1788 +2023-03-05 04:52:10,641 - mmseg - INFO - Iter [107450/160000] lr: 4.687e-06, eta: 3:26:00, time: 0.189, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1926, decode.acc_seg: 92.1054, loss: 0.1926 +2023-03-05 04:52:20,054 - mmseg - INFO - Iter [107500/160000] lr: 4.687e-06, eta: 3:25:47, time: 0.188, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1832, decode.acc_seg: 92.4883, loss: 0.1832 +2023-03-05 04:52:29,757 - mmseg - INFO - Iter [107550/160000] lr: 4.687e-06, eta: 3:25:34, time: 0.194, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1760, decode.acc_seg: 92.8816, loss: 0.1760 +2023-03-05 04:52:39,562 - mmseg - INFO - Iter [107600/160000] lr: 4.687e-06, eta: 3:25:22, time: 0.196, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1785, decode.acc_seg: 92.8143, loss: 0.1785 +2023-03-05 04:52:49,061 - mmseg - INFO - Iter [107650/160000] lr: 4.687e-06, eta: 3:25:09, time: 0.190, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1798, decode.acc_seg: 92.7822, loss: 0.1798 +2023-03-05 04:52:58,611 - mmseg - INFO - Iter [107700/160000] lr: 4.687e-06, eta: 3:24:56, time: 0.191, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1772, decode.acc_seg: 92.6821, loss: 0.1772 +2023-03-05 04:53:08,126 - mmseg - INFO - Iter [107750/160000] lr: 4.687e-06, eta: 3:24:43, time: 0.190, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1798, decode.acc_seg: 92.4803, loss: 0.1798 +2023-03-05 04:53:17,856 - mmseg - INFO - Iter [107800/160000] lr: 4.687e-06, eta: 3:24:30, time: 0.195, data_time: 0.008, memory: 52540, decode.loss_ce: 0.1824, decode.acc_seg: 92.5883, loss: 0.1824 +2023-03-05 04:53:27,332 - mmseg - INFO - Iter [107850/160000] lr: 4.687e-06, eta: 3:24:18, time: 0.190, data_time: 0.008, memory: 52540, decode.loss_ce: 0.1816, decode.acc_seg: 92.5606, loss: 0.1816 +2023-03-05 04:53:37,259 - mmseg - INFO - Iter [107900/160000] lr: 4.687e-06, eta: 3:24:05, time: 0.199, data_time: 0.008, memory: 52540, decode.loss_ce: 0.1850, decode.acc_seg: 92.3681, loss: 0.1850 +2023-03-05 04:53:49,344 - mmseg - INFO - Iter [107950/160000] lr: 4.687e-06, eta: 3:23:53, time: 0.242, data_time: 0.054, memory: 52540, decode.loss_ce: 0.1858, decode.acc_seg: 92.3872, loss: 0.1858 +2023-03-05 04:53:59,023 - mmseg - INFO - Exp name: ablation_segformer_mit_b2_segformer_head_unet_fc_small_multi_step_ade_pretrained_freeze_embed_160k_ade20k151_mask_finetune_maskonly.py +2023-03-05 04:53:59,023 - mmseg - INFO - Iter [108000/160000] lr: 4.687e-06, eta: 3:23:41, time: 0.194, data_time: 0.008, memory: 52540, decode.loss_ce: 0.1812, decode.acc_seg: 92.6264, loss: 0.1812 +2023-03-05 04:54:08,736 - mmseg - INFO - Iter [108050/160000] lr: 4.687e-06, eta: 3:23:28, time: 0.194, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1883, decode.acc_seg: 92.3221, loss: 0.1883 +2023-03-05 04:54:18,623 - mmseg - INFO - Iter [108100/160000] lr: 4.687e-06, eta: 3:23:15, time: 0.198, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1856, decode.acc_seg: 92.3418, loss: 0.1856 +2023-03-05 04:54:28,126 - mmseg - INFO - Iter [108150/160000] lr: 4.687e-06, eta: 3:23:02, time: 0.190, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1831, decode.acc_seg: 92.5540, loss: 0.1831 +2023-03-05 04:54:37,646 - mmseg - INFO - Iter [108200/160000] lr: 4.687e-06, eta: 3:22:50, time: 0.190, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1875, decode.acc_seg: 92.3673, loss: 0.1875 +2023-03-05 04:54:47,309 - mmseg - INFO - Iter [108250/160000] lr: 4.687e-06, eta: 3:22:37, time: 0.193, data_time: 0.008, memory: 52540, decode.loss_ce: 0.1884, decode.acc_seg: 92.4631, loss: 0.1884 +2023-03-05 04:54:56,953 - mmseg - INFO - Iter [108300/160000] lr: 4.687e-06, eta: 3:22:24, time: 0.193, data_time: 0.008, memory: 52540, decode.loss_ce: 0.1850, decode.acc_seg: 92.3790, loss: 0.1850 +2023-03-05 04:55:06,405 - mmseg - INFO - Iter [108350/160000] lr: 4.687e-06, eta: 3:22:11, time: 0.189, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1879, decode.acc_seg: 92.2592, loss: 0.1879 +2023-03-05 04:55:15,999 - mmseg - INFO - Iter [108400/160000] lr: 4.687e-06, eta: 3:21:58, time: 0.192, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1880, decode.acc_seg: 92.3156, loss: 0.1880 +2023-03-05 04:55:25,850 - mmseg - INFO - Iter [108450/160000] lr: 4.687e-06, eta: 3:21:46, time: 0.197, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1869, decode.acc_seg: 92.3743, loss: 0.1869 +2023-03-05 04:55:35,289 - mmseg - INFO - Iter [108500/160000] lr: 4.687e-06, eta: 3:21:33, time: 0.189, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1812, decode.acc_seg: 92.4828, loss: 0.1812 +2023-03-05 04:55:47,630 - mmseg - INFO - Iter [108550/160000] lr: 4.687e-06, eta: 3:21:22, time: 0.247, data_time: 0.054, memory: 52540, decode.loss_ce: 0.1801, decode.acc_seg: 92.4656, loss: 0.1801 +2023-03-05 04:55:57,180 - mmseg - INFO - Iter [108600/160000] lr: 4.687e-06, eta: 3:21:09, time: 0.191, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1889, decode.acc_seg: 92.3420, loss: 0.1889 +2023-03-05 04:56:06,712 - mmseg - INFO - Iter [108650/160000] lr: 4.687e-06, eta: 3:20:56, time: 0.191, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1918, decode.acc_seg: 92.2443, loss: 0.1918 +2023-03-05 04:56:16,109 - mmseg - INFO - Iter [108700/160000] lr: 4.687e-06, eta: 3:20:43, time: 0.188, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1822, decode.acc_seg: 92.6086, loss: 0.1822 +2023-03-05 04:56:25,905 - mmseg - INFO - Iter [108750/160000] lr: 4.687e-06, eta: 3:20:30, time: 0.196, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1835, decode.acc_seg: 92.6163, loss: 0.1835 +2023-03-05 04:56:35,442 - mmseg - INFO - Iter [108800/160000] lr: 4.687e-06, eta: 3:20:18, time: 0.191, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1827, decode.acc_seg: 92.4133, loss: 0.1827 +2023-03-05 04:56:45,240 - mmseg - INFO - Iter [108850/160000] lr: 4.687e-06, eta: 3:20:05, time: 0.196, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1921, decode.acc_seg: 92.2572, loss: 0.1921 +2023-03-05 04:56:55,031 - mmseg - INFO - Iter [108900/160000] lr: 4.687e-06, eta: 3:19:52, time: 0.196, data_time: 0.008, memory: 52540, decode.loss_ce: 0.1778, decode.acc_seg: 92.7277, loss: 0.1778 +2023-03-05 04:57:04,869 - mmseg - INFO - Iter [108950/160000] lr: 4.687e-06, eta: 3:19:40, time: 0.197, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1850, decode.acc_seg: 92.3737, loss: 0.1850 +2023-03-05 04:57:14,350 - mmseg - INFO - Exp name: ablation_segformer_mit_b2_segformer_head_unet_fc_small_multi_step_ade_pretrained_freeze_embed_160k_ade20k151_mask_finetune_maskonly.py +2023-03-05 04:57:14,350 - mmseg - INFO - Iter [109000/160000] lr: 4.687e-06, eta: 3:19:27, time: 0.190, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1884, decode.acc_seg: 92.2772, loss: 0.1884 +2023-03-05 04:57:23,900 - mmseg - INFO - Iter [109050/160000] lr: 4.687e-06, eta: 3:19:14, time: 0.191, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1880, decode.acc_seg: 92.2307, loss: 0.1880 +2023-03-05 04:57:33,694 - mmseg - INFO - Iter [109100/160000] lr: 4.687e-06, eta: 3:19:02, time: 0.196, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1795, decode.acc_seg: 92.6194, loss: 0.1795 +2023-03-05 04:57:43,133 - mmseg - INFO - Iter [109150/160000] lr: 4.687e-06, eta: 3:18:49, time: 0.189, data_time: 0.008, memory: 52540, decode.loss_ce: 0.1838, decode.acc_seg: 92.6130, loss: 0.1838 +2023-03-05 04:57:55,200 - mmseg - INFO - Iter [109200/160000] lr: 4.687e-06, eta: 3:18:37, time: 0.241, data_time: 0.057, memory: 52540, decode.loss_ce: 0.1825, decode.acc_seg: 92.5293, loss: 0.1825 +2023-03-05 04:58:04,699 - mmseg - INFO - Iter [109250/160000] lr: 4.687e-06, eta: 3:18:24, time: 0.190, data_time: 0.008, memory: 52540, decode.loss_ce: 0.1852, decode.acc_seg: 92.3582, loss: 0.1852 +2023-03-05 04:58:14,335 - mmseg - INFO - Iter [109300/160000] lr: 4.687e-06, eta: 3:18:12, time: 0.193, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1889, decode.acc_seg: 92.2370, loss: 0.1889 +2023-03-05 04:58:23,987 - mmseg - INFO - Iter [109350/160000] lr: 4.687e-06, eta: 3:17:59, time: 0.193, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1759, decode.acc_seg: 92.6782, loss: 0.1759 +2023-03-05 04:58:33,616 - mmseg - INFO - Iter [109400/160000] lr: 4.687e-06, eta: 3:17:46, time: 0.193, data_time: 0.008, memory: 52540, decode.loss_ce: 0.1852, decode.acc_seg: 92.6024, loss: 0.1852 +2023-03-05 04:58:43,140 - mmseg - INFO - Iter [109450/160000] lr: 4.687e-06, eta: 3:17:34, time: 0.190, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1890, decode.acc_seg: 92.0648, loss: 0.1890 +2023-03-05 04:58:52,561 - mmseg - INFO - Iter [109500/160000] lr: 4.687e-06, eta: 3:17:21, time: 0.188, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1796, decode.acc_seg: 92.5353, loss: 0.1796 +2023-03-05 04:59:02,099 - mmseg - INFO - Iter [109550/160000] lr: 4.687e-06, eta: 3:17:08, time: 0.191, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1818, decode.acc_seg: 92.6377, loss: 0.1818 +2023-03-05 04:59:11,550 - mmseg - INFO - Iter [109600/160000] lr: 4.687e-06, eta: 3:16:55, time: 0.189, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1828, decode.acc_seg: 92.5039, loss: 0.1828 +2023-03-05 04:59:21,050 - mmseg - INFO - Iter [109650/160000] lr: 4.687e-06, eta: 3:16:43, time: 0.190, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1853, decode.acc_seg: 92.3467, loss: 0.1853 +2023-03-05 04:59:30,732 - mmseg - INFO - Iter [109700/160000] lr: 4.687e-06, eta: 3:16:30, time: 0.194, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1773, decode.acc_seg: 92.6740, loss: 0.1773 +2023-03-05 04:59:40,360 - mmseg - INFO - Iter [109750/160000] lr: 4.687e-06, eta: 3:16:17, time: 0.193, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1810, decode.acc_seg: 92.4526, loss: 0.1810 +2023-03-05 04:59:52,463 - mmseg - INFO - Iter [109800/160000] lr: 4.687e-06, eta: 3:16:06, time: 0.242, data_time: 0.057, memory: 52540, decode.loss_ce: 0.1817, decode.acc_seg: 92.5850, loss: 0.1817 +2023-03-05 05:00:02,064 - mmseg - INFO - Iter [109850/160000] lr: 4.687e-06, eta: 3:15:53, time: 0.192, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1879, decode.acc_seg: 92.1805, loss: 0.1879 +2023-03-05 05:00:11,541 - mmseg - INFO - Iter [109900/160000] lr: 4.687e-06, eta: 3:15:40, time: 0.190, data_time: 0.008, memory: 52540, decode.loss_ce: 0.1802, decode.acc_seg: 92.5613, loss: 0.1802 +2023-03-05 05:00:21,071 - mmseg - INFO - Iter [109950/160000] lr: 4.687e-06, eta: 3:15:28, time: 0.191, data_time: 0.008, memory: 52540, decode.loss_ce: 0.1912, decode.acc_seg: 92.1031, loss: 0.1912 +2023-03-05 05:00:30,747 - mmseg - INFO - Exp name: ablation_segformer_mit_b2_segformer_head_unet_fc_small_multi_step_ade_pretrained_freeze_embed_160k_ade20k151_mask_finetune_maskonly.py +2023-03-05 05:00:30,747 - mmseg - INFO - Iter [110000/160000] lr: 4.687e-06, eta: 3:15:15, time: 0.194, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1732, decode.acc_seg: 92.8162, loss: 0.1732 +2023-03-05 05:00:40,376 - mmseg - INFO - Iter [110050/160000] lr: 4.687e-06, eta: 3:15:02, time: 0.193, data_time: 0.008, memory: 52540, decode.loss_ce: 0.1834, decode.acc_seg: 92.4342, loss: 0.1834 +2023-03-05 05:00:50,106 - mmseg - INFO - Iter [110100/160000] lr: 4.687e-06, eta: 3:14:50, time: 0.195, data_time: 0.008, memory: 52540, decode.loss_ce: 0.1850, decode.acc_seg: 92.4174, loss: 0.1850 +2023-03-05 05:00:59,993 - mmseg - INFO - Iter [110150/160000] lr: 4.687e-06, eta: 3:14:37, time: 0.198, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1789, decode.acc_seg: 92.6729, loss: 0.1789 +2023-03-05 05:01:09,747 - mmseg - INFO - Iter [110200/160000] lr: 4.687e-06, eta: 3:14:25, time: 0.195, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1853, decode.acc_seg: 92.3522, loss: 0.1853 +2023-03-05 05:01:19,790 - mmseg - INFO - Iter [110250/160000] lr: 4.687e-06, eta: 3:14:12, time: 0.201, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1859, decode.acc_seg: 92.4536, loss: 0.1859 +2023-03-05 05:01:29,385 - mmseg - INFO - Iter [110300/160000] lr: 4.687e-06, eta: 3:13:59, time: 0.192, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1879, decode.acc_seg: 92.4932, loss: 0.1879 +2023-03-05 05:01:39,169 - mmseg - INFO - Iter [110350/160000] lr: 4.687e-06, eta: 3:13:47, time: 0.196, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1811, decode.acc_seg: 92.4917, loss: 0.1811 +2023-03-05 05:01:48,806 - mmseg - INFO - Iter [110400/160000] lr: 4.687e-06, eta: 3:13:34, time: 0.193, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1810, decode.acc_seg: 92.3975, loss: 0.1810 +2023-03-05 05:02:01,025 - mmseg - INFO - Iter [110450/160000] lr: 4.687e-06, eta: 3:13:23, time: 0.244, data_time: 0.056, memory: 52540, decode.loss_ce: 0.1739, decode.acc_seg: 92.8213, loss: 0.1739 +2023-03-05 05:02:10,855 - mmseg - INFO - Iter [110500/160000] lr: 4.687e-06, eta: 3:13:10, time: 0.197, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1809, decode.acc_seg: 92.6535, loss: 0.1809 +2023-03-05 05:02:20,547 - mmseg - INFO - Iter [110550/160000] lr: 4.687e-06, eta: 3:12:58, time: 0.194, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1869, decode.acc_seg: 92.3357, loss: 0.1869 +2023-03-05 05:02:30,219 - mmseg - INFO - Iter [110600/160000] lr: 4.687e-06, eta: 3:12:45, time: 0.193, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1824, decode.acc_seg: 92.4250, loss: 0.1824 +2023-03-05 05:02:39,993 - mmseg - INFO - Iter [110650/160000] lr: 4.687e-06, eta: 3:12:32, time: 0.195, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1850, decode.acc_seg: 92.4037, loss: 0.1850 +2023-03-05 05:02:49,438 - mmseg - INFO - Iter [110700/160000] lr: 4.687e-06, eta: 3:12:20, time: 0.189, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1920, decode.acc_seg: 92.2154, loss: 0.1920 +2023-03-05 05:02:58,968 - mmseg - INFO - Iter [110750/160000] lr: 4.687e-06, eta: 3:12:07, time: 0.191, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1784, decode.acc_seg: 92.6134, loss: 0.1784 +2023-03-05 05:03:08,392 - mmseg - INFO - Iter [110800/160000] lr: 4.687e-06, eta: 3:11:54, time: 0.188, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1903, decode.acc_seg: 92.1939, loss: 0.1903 +2023-03-05 05:03:18,123 - mmseg - INFO - Iter [110850/160000] lr: 4.687e-06, eta: 3:11:42, time: 0.195, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1804, decode.acc_seg: 92.5361, loss: 0.1804 +2023-03-05 05:03:27,823 - mmseg - INFO - Iter [110900/160000] lr: 4.687e-06, eta: 3:11:29, time: 0.194, data_time: 0.008, memory: 52540, decode.loss_ce: 0.1858, decode.acc_seg: 92.4333, loss: 0.1858 +2023-03-05 05:03:37,387 - mmseg - INFO - Iter [110950/160000] lr: 4.687e-06, eta: 3:11:16, time: 0.191, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1814, decode.acc_seg: 92.5448, loss: 0.1814 +2023-03-05 05:03:47,271 - mmseg - INFO - Exp name: ablation_segformer_mit_b2_segformer_head_unet_fc_small_multi_step_ade_pretrained_freeze_embed_160k_ade20k151_mask_finetune_maskonly.py +2023-03-05 05:03:47,271 - mmseg - INFO - Iter [111000/160000] lr: 4.687e-06, eta: 3:11:04, time: 0.198, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1814, decode.acc_seg: 92.6549, loss: 0.1814 +2023-03-05 05:03:56,906 - mmseg - INFO - Iter [111050/160000] lr: 4.687e-06, eta: 3:10:51, time: 0.193, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1834, decode.acc_seg: 92.4631, loss: 0.1834 +2023-03-05 05:04:09,204 - mmseg - INFO - Iter [111100/160000] lr: 4.687e-06, eta: 3:10:40, time: 0.246, data_time: 0.056, memory: 52540, decode.loss_ce: 0.1820, decode.acc_seg: 92.5079, loss: 0.1820 +2023-03-05 05:04:18,737 - mmseg - INFO - Iter [111150/160000] lr: 4.687e-06, eta: 3:10:27, time: 0.191, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1824, decode.acc_seg: 92.5205, loss: 0.1824 +2023-03-05 05:04:28,275 - mmseg - INFO - Iter [111200/160000] lr: 4.687e-06, eta: 3:10:15, time: 0.191, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1852, decode.acc_seg: 92.2645, loss: 0.1852 +2023-03-05 05:04:38,001 - mmseg - INFO - Iter [111250/160000] lr: 4.687e-06, eta: 3:10:02, time: 0.195, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1829, decode.acc_seg: 92.5591, loss: 0.1829 +2023-03-05 05:04:47,496 - mmseg - INFO - Iter [111300/160000] lr: 4.687e-06, eta: 3:09:49, time: 0.190, data_time: 0.008, memory: 52540, decode.loss_ce: 0.1764, decode.acc_seg: 92.7079, loss: 0.1764 +2023-03-05 05:04:56,994 - mmseg - INFO - Iter [111350/160000] lr: 4.687e-06, eta: 3:09:37, time: 0.190, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1853, decode.acc_seg: 92.5185, loss: 0.1853 +2023-03-05 05:05:06,682 - mmseg - INFO - Iter [111400/160000] lr: 4.687e-06, eta: 3:09:24, time: 0.194, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1874, decode.acc_seg: 92.5119, loss: 0.1874 +2023-03-05 05:05:16,129 - mmseg - INFO - Iter [111450/160000] lr: 4.687e-06, eta: 3:09:12, time: 0.189, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1838, decode.acc_seg: 92.4113, loss: 0.1838 +2023-03-05 05:05:25,907 - mmseg - INFO - Iter [111500/160000] lr: 4.687e-06, eta: 3:08:59, time: 0.196, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1855, decode.acc_seg: 92.5141, loss: 0.1855 +2023-03-05 05:05:35,369 - mmseg - INFO - Iter [111550/160000] lr: 4.687e-06, eta: 3:08:46, time: 0.189, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1728, decode.acc_seg: 92.8824, loss: 0.1728 +2023-03-05 05:05:44,932 - mmseg - INFO - Iter [111600/160000] lr: 4.687e-06, eta: 3:08:34, time: 0.191, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1889, decode.acc_seg: 92.3497, loss: 0.1889 +2023-03-05 05:05:54,474 - mmseg - INFO - Iter [111650/160000] lr: 4.687e-06, eta: 3:08:21, time: 0.191, data_time: 0.008, memory: 52540, decode.loss_ce: 0.1833, decode.acc_seg: 92.3482, loss: 0.1833 +2023-03-05 05:06:06,519 - mmseg - INFO - Iter [111700/160000] lr: 4.687e-06, eta: 3:08:10, time: 0.241, data_time: 0.058, memory: 52540, decode.loss_ce: 0.1765, decode.acc_seg: 92.7863, loss: 0.1765 +2023-03-05 05:06:16,383 - mmseg - INFO - Iter [111750/160000] lr: 4.687e-06, eta: 3:07:57, time: 0.197, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1876, decode.acc_seg: 92.4741, loss: 0.1876 +2023-03-05 05:06:26,046 - mmseg - INFO - Iter [111800/160000] lr: 4.687e-06, eta: 3:07:45, time: 0.193, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1805, decode.acc_seg: 92.5368, loss: 0.1805 +2023-03-05 05:06:35,588 - mmseg - INFO - Iter [111850/160000] lr: 4.687e-06, eta: 3:07:32, time: 0.191, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1822, decode.acc_seg: 92.5021, loss: 0.1822 +2023-03-05 05:06:45,064 - mmseg - INFO - Iter [111900/160000] lr: 4.687e-06, eta: 3:07:19, time: 0.190, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1912, decode.acc_seg: 92.2716, loss: 0.1912 +2023-03-05 05:06:54,664 - mmseg - INFO - Iter [111950/160000] lr: 4.687e-06, eta: 3:07:07, time: 0.192, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1907, decode.acc_seg: 92.1794, loss: 0.1907 +2023-03-05 05:07:04,274 - mmseg - INFO - Swap parameters (after train) after iter [112000] +2023-03-05 05:07:04,287 - mmseg - INFO - Saving checkpoint at 112000 iterations +2023-03-05 05:07:05,368 - mmseg - INFO - Exp name: ablation_segformer_mit_b2_segformer_head_unet_fc_small_multi_step_ade_pretrained_freeze_embed_160k_ade20k151_mask_finetune_maskonly.py +2023-03-05 05:07:05,368 - mmseg - INFO - Iter [112000/160000] lr: 4.687e-06, eta: 3:06:55, time: 0.214, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1846, decode.acc_seg: 92.5493, loss: 0.1846 +2023-03-05 05:18:07,400 - mmseg - INFO - per class results: +2023-03-05 05:18:07,409 - mmseg - INFO - ++---------------------+-------------------------------------------------------------------+ +| Class | IoU 0,10,20,30,40,50,60,70,80,90,99 | ++---------------------+-------------------------------------------------------------------+ +| background | nan,nan,nan,nan,nan,nan,nan,nan,nan,nan,nan | +| wall | 77.31,77.54,77.56,77.56,77.56,77.57,77.57,77.57,77.56,77.56,77.59 | +| building | 81.74,81.75,81.76,81.77,81.77,81.77,81.77,81.77,81.77,81.77,81.76 | +| sky | 94.44,94.52,94.52,94.52,94.52,94.51,94.51,94.51,94.51,94.51,94.54 | +| floor | 81.69,81.92,81.93,81.93,81.93,81.93,81.92,81.91,81.92,81.93,81.95 | +| tree | 74.14,74.3,74.29,74.29,74.3,74.29,74.27,74.27,74.29,74.28,74.27 | +| ceiling | 85.0,85.42,85.43,85.45,85.45,85.45,85.45,85.44,85.45,85.45,85.47 | +| road | 82.03,81.8,81.78,81.84,81.89,81.9,81.89,81.89,81.88,81.88,81.9 | +| bed | 87.56,87.78,87.81,87.82,87.81,87.81,87.81,87.81,87.82,87.81,87.77 | +| windowpane | 60.45,60.83,60.83,60.81,60.81,60.82,60.82,60.82,60.83,60.83,60.83 | +| grass | 66.78,66.98,66.99,66.98,66.95,66.95,66.95,66.97,66.96,66.95,67.0 | +| cabinet | 59.7,60.39,60.41,60.43,60.42,60.43,60.43,60.43,60.44,60.42,60.36 | +| sidewalk | 64.27,63.77,63.61,63.6,63.65,63.64,63.64,63.64,63.61,63.61,63.68 | +| person | 79.61,79.81,79.79,79.79,79.78,79.79,79.78,79.77,79.79,79.79,79.83 | +| earth | 36.08,36.09,36.1,36.09,36.09,36.07,36.11,36.1,36.08,36.12,36.2 | +| door | 46.18,46.31,46.32,46.33,46.33,46.32,46.33,46.31,46.3,46.34,46.42 | +| table | 61.02,61.48,61.51,61.5,61.52,61.52,61.52,61.5,61.5,61.49,61.51 | +| mountain | 57.28,58.17,58.19,58.2,58.22,58.23,58.24,58.23,58.23,58.22,58.26 | +| plant | 49.52,49.67,49.69,49.71,49.73,49.73,49.72,49.71,49.72,49.73,49.73 | +| curtain | 73.39,73.99,74.15,74.15,74.14,74.15,74.14,74.14,74.14,74.13,74.28 | +| chair | 56.3,56.53,56.54,56.51,56.51,56.49,56.5,56.48,56.51,56.5,56.57 | +| car | 82.06,82.36,82.37,82.39,82.4,82.39,82.4,82.4,82.39,82.4,82.41 | +| water | 58.08,57.96,57.92,57.95,57.92,57.95,57.98,57.97,57.95,57.93,58.02 | +| painting | 70.49,70.05,70.02,69.95,69.94,69.95,69.98,69.99,69.99,70.01,69.99 | +| sofa | 64.27,64.93,64.92,64.94,64.94,64.94,64.94,64.94,64.94,64.94,64.94 | +| shelf | 43.58,43.84,43.85,43.86,43.86,43.84,43.85,43.84,43.81,43.79,43.77 | +| house | 42.54,42.87,42.81,42.77,42.76,42.76,42.77,42.75,42.71,42.74,42.63 | +| sea | 60.16,60.69,60.72,60.71,60.71,60.72,60.72,60.73,60.73,60.71,60.76 | +| mirror | 65.86,66.41,66.36,66.36,66.36,66.38,66.33,66.34,66.35,66.35,66.53 | +| rug | 63.73,64.77,64.85,64.83,64.8,64.79,64.77,64.78,64.82,64.87,64.97 | +| field | 30.34,30.55,30.58,30.59,30.59,30.59,30.61,30.6,30.6,30.6,30.64 | +| armchair | 37.21,37.65,37.67,37.71,37.71,37.69,37.68,37.65,37.69,37.68,37.9 | +| seat | 65.79,66.49,66.52,66.52,66.53,66.54,66.55,66.56,66.59,66.6,66.49 | +| fence | 41.13,40.42,40.4,40.41,40.4,40.43,40.4,40.39,40.39,40.37,40.42 | +| desk | 47.41,47.68,47.71,47.66,47.64,47.65,47.66,47.67,47.68,47.66,47.57 | +| rock | 37.12,37.15,37.15,37.11,37.1,37.16,37.15,37.12,37.12,37.15,37.18 | +| wardrobe | 56.17,56.74,56.74,56.77,56.78,56.75,56.76,56.76,56.77,56.74,56.82 | +| lamp | 62.3,62.92,62.95,62.97,62.98,62.96,62.95,62.93,62.96,62.96,62.86 | +| bathtub | 76.17,77.32,77.35,77.48,77.72,77.73,77.61,77.28,77.32,77.45,77.37 | +| railing | 33.32,33.41,33.66,33.67,33.71,33.73,33.72,33.72,33.7,33.69,33.81 | +| cushion | 56.86,57.96,57.91,57.95,57.91,57.92,57.93,57.94,57.96,57.94,57.98 | +| base | 19.23,21.57,21.58,21.57,21.48,21.57,21.54,21.54,21.58,21.56,21.7 | +| box | 23.79,24.23,24.29,24.32,24.31,24.31,24.29,24.3,24.31,24.3,24.27 | +| column | 46.5,47.21,47.28,47.34,47.27,47.28,47.26,47.32,47.34,47.27,47.37 | +| signboard | 37.98,37.76,37.75,37.73,37.74,37.76,37.75,37.73,37.78,37.74,37.88 | +| chest of drawers | 35.88,37.25,37.16,37.2,37.19,37.21,37.24,37.23,37.25,37.27,37.06 | +| counter | 30.9,31.49,31.49,31.46,31.44,31.45,31.46,31.47,31.46,31.46,31.42 | +| sand | 44.7,46.88,47.08,47.19,47.33,47.23,47.17,47.17,47.2,47.26,47.21 | +| sink | 67.88,68.19,68.18,68.16,68.14,68.15,68.17,68.19,68.19,68.19,68.05 | +| skyscraper | 53.58,49.54,49.52,49.45,49.46,49.47,49.46,49.46,49.46,49.47,49.47 | +| fireplace | 75.45,76.46,76.49,76.53,76.52,76.53,76.54,76.56,76.56,76.53,76.53 | +| refrigerator | 75.3,76.69,76.73,76.7,76.71,76.71,76.72,76.7,76.71,76.72,76.34 | +| grandstand | 52.62,53.23,53.31,53.31,53.34,53.28,53.26,53.31,53.26,53.29,53.44 | +| path | 21.55,21.83,21.78,21.78,21.76,21.74,21.76,21.76,21.76,21.76,21.66 | +| stairs | 32.11,30.86,30.86,30.84,30.85,30.86,30.87,30.88,30.86,30.86,30.91 | +| runway | 67.73,68.07,68.05,68.06,68.08,68.1,68.07,68.08,68.11,68.1,68.11 | +| case | 46.06,47.0,46.99,47.0,47.01,46.99,47.01,47.02,46.97,47.0,46.87 | +| pool table | 91.57,91.59,91.56,91.62,91.62,91.62,91.6,91.58,91.6,91.58,91.62 | +| pillow | 60.1,63.03,63.1,63.04,63.01,63.01,63.01,63.0,63.01,63.03,63.11 | +| screen door | 68.76,68.8,69.05,68.96,68.93,69.12,69.03,69.0,69.01,69.11,68.28 | +| stairway | 22.62,22.02,21.98,21.96,21.96,21.97,21.96,21.98,21.97,21.96,21.96 | +| river | 12.24,11.96,11.94,11.95,11.95,11.95,11.95,11.95,11.95,11.95,12.0 | +| bridge | 32.04,32.12,32.15,32.13,32.16,32.18,32.12,32.13,32.16,32.14,31.93 | +| bookcase | 46.72,46.83,46.85,46.87,46.82,46.83,46.88,46.87,46.85,46.82,46.78 | +| blind | 39.18,40.22,39.97,39.84,39.8,39.93,40.04,40.01,40.03,39.94,40.11 | +| coffee table | 53.54,52.78,52.82,52.84,52.89,52.82,52.82,52.84,52.83,52.82,52.9 | +| toilet | 83.44,83.3,83.31,83.3,83.3,83.3,83.29,83.29,83.27,83.27,83.28 | +| flower | 38.73,38.88,38.92,38.85,38.92,38.88,38.87,38.9,38.86,38.85,38.91 | +| book | 44.98,45.29,45.3,45.32,45.33,45.35,45.34,45.33,45.33,45.32,45.33 | +| hill | 15.98,16.5,16.5,16.49,16.5,16.48,16.49,16.5,16.5,16.53,16.65 | +| bench | 44.17,43.62,43.44,43.48,43.41,43.4,43.39,43.43,43.51,43.55,43.44 | +| countertop | 53.86,54.6,54.67,54.6,54.55,54.53,54.5,54.49,54.47,54.49,54.44 | +| stove | 71.89,72.03,71.91,71.9,71.89,71.89,71.89,71.87,71.85,71.86,71.75 | +| palm | 47.22,47.28,47.28,47.26,47.26,47.25,47.29,47.27,47.28,47.29,47.25 | +| kitchen island | 41.78,45.77,45.92,46.07,46.23,46.25,46.2,46.21,46.19,46.13,46.24 | +| computer | 59.82,59.55,59.51,59.53,59.57,59.54,59.55,59.52,59.49,59.5,59.65 | +| swivel chair | 44.12,44.57,44.6,44.62,44.63,44.64,44.63,44.6,44.66,44.66,44.8 | +| boat | 69.08,70.54,70.62,70.68,70.66,70.63,70.7,70.67,70.68,70.68,70.76 | +| bar | 24.38,24.67,24.62,24.65,24.65,24.65,24.64,24.64,24.64,24.63,24.55 | +| arcade machine | 68.12,72.73,72.97,72.96,73.0,73.04,72.96,72.97,72.94,72.97,72.53 | +| hovel | 35.16,32.6,32.64,32.58,32.6,32.58,32.54,32.51,32.49,32.55,32.24 | +| bus | 76.89,78.65,78.9,79.01,79.03,79.05,79.09,79.12,79.09,79.08,78.96 | +| towel | 62.75,63.68,63.73,63.69,63.72,63.72,63.71,63.74,63.7,63.73,63.69 | +| light | 55.57,56.19,56.17,56.15,56.14,56.09,56.08,56.05,56.08,56.13,56.14 | +| truck | 18.33,19.32,19.35,19.46,19.53,19.52,19.51,19.5,19.49,19.51,19.76 | +| tower | 6.41,6.28,6.28,6.35,6.26,6.13,6.12,6.11,5.98,5.93,5.84 | +| chandelier | 65.48,67.08,67.02,66.99,67.04,67.02,67.03,67.06,67.03,67.04,67.01 | +| awning | 21.5,23.33,23.38,23.38,23.32,23.37,23.31,23.33,23.34,23.3,23.6 | +| streetlight | 27.1,28.08,28.18,28.18,28.23,28.16,28.2,28.16,28.18,28.19,28.07 | +| booth | 42.04,44.89,45.0,45.21,45.22,45.2,45.17,45.15,45.19,45.18,45.11 | +| television receiver | 65.49,65.43,65.44,65.4,65.39,65.38,65.36,65.36,65.42,65.37,65.57 | +| airplane | 58.0,58.45,58.52,58.52,58.5,58.5,58.49,58.52,58.54,58.51,58.6 | +| dirt track | 18.78,20.92,20.9,20.97,20.92,20.96,21.06,21.11,21.07,21.02,20.75 | +| apparel | 35.3,35.3,35.17,35.14,35.08,35.04,35.09,35.08,35.05,35.14,35.42 | +| pole | 18.76,19.68,19.47,19.52,19.61,19.64,19.63,19.65,19.73,19.68,19.61 | +| land | 4.73,4.48,4.46,4.44,4.41,4.41,4.4,4.38,4.45,4.45,4.46 | +| bannister | 12.89,13.38,13.47,13.44,13.42,13.43,13.41,13.38,13.42,13.41,13.45 | +| escalator | 24.57,25.19,25.26,25.23,25.21,25.21,25.2,25.25,25.25,25.26,25.22 | +| ottoman | 40.97,40.81,40.91,40.99,40.96,40.97,40.97,40.97,41.02,40.99,40.58 | +| bottle | 35.94,36.46,36.4,36.4,36.41,36.43,36.46,36.41,36.45,36.43,36.48 | +| buffet | 35.54,35.68,36.47,36.69,36.63,36.71,36.67,36.59,36.58,36.77,37.35 | +| poster | 21.69,21.34,21.36,21.37,21.36,21.36,21.35,21.37,21.36,21.36,21.45 | +| stage | 13.59,14.26,14.61,14.64,14.63,14.64,14.67,14.66,14.65,14.66,14.61 | +| van | 36.96,37.0,36.96,36.94,36.97,37.0,37.0,36.99,36.97,36.99,36.87 | +| ship | 78.37,81.03,81.06,81.1,81.06,81.12,81.17,81.2,81.18,81.18,81.12 | +| fountain | 19.32,20.46,20.44,20.49,20.47,20.51,20.43,20.43,20.48,20.43,20.62 | +| conveyer belt | 85.23,85.31,85.42,85.36,85.35,85.37,85.5,85.49,85.5,85.46,85.34 | +| canopy | 26.79,25.86,25.74,25.71,25.77,25.63,25.77,25.75,25.89,25.96,25.7 | +| washer | 77.09,76.79,76.7,76.73,76.75,76.8,76.71,76.68,76.75,76.69,76.7 | +| plaything | 21.2,21.52,21.47,21.49,21.52,21.51,21.52,21.5,21.51,21.52,21.44 | +| swimming pool | 75.0,77.49,77.5,77.51,77.53,77.53,77.43,77.44,77.53,77.49,77.44 | +| stool | 44.16,44.9,44.89,44.96,45.1,45.14,45.12,45.17,45.04,45.03,45.1 | +| barrel | 46.59,49.81,49.68,49.59,49.61,49.8,49.49,49.59,49.75,49.59,52.0 | +| basket | 24.91,25.24,25.19,25.2,25.2,25.21,25.19,25.16,25.17,25.19,25.21 | +| waterfall | 50.1,49.25,49.24,49.46,49.44,49.54,49.76,49.8,49.83,49.87,50.06 | +| tent | 95.25,95.25,95.24,95.25,95.24,95.24,95.25,95.26,95.24,95.24,95.23 | +| bag | 15.17,15.44,15.35,15.33,15.3,15.3,15.34,15.32,15.29,15.3,15.57 | +| minibike | 62.82,62.69,62.66,62.62,62.64,62.6,62.62,62.61,62.62,62.65,62.56 | +| cradle | 84.93,85.59,85.58,85.52,85.49,85.49,85.49,85.49,85.49,85.49,85.66 | +| oven | 45.66,47.37,47.29,47.3,47.35,47.33,47.37,47.39,47.38,47.32,47.28 | +| ball | 41.0,42.48,42.48,42.54,42.63,42.5,42.51,42.48,42.49,42.54,42.67 | +| food | 54.87,54.89,55.0,55.02,55.13,55.05,55.07,54.98,55.01,55.07,54.91 | +| step | 6.11,6.35,6.4,6.33,6.28,6.37,6.3,6.32,6.28,6.3,6.33 | +| tank | 50.2,47.4,47.58,47.57,47.63,47.81,47.91,47.7,47.57,47.58,47.74 | +| trade name | 27.09,27.64,27.66,27.63,27.68,27.71,27.64,27.67,27.65,27.65,27.46 | +| microwave | 71.34,72.57,72.55,72.57,72.58,72.58,72.59,72.58,72.56,72.57,72.61 | +| pot | 30.83,30.84,30.89,30.83,30.83,30.84,30.85,30.83,30.87,30.87,30.9 | +| animal | 54.22,55.21,55.25,55.24,55.23,55.25,55.23,55.25,55.25,55.25,55.22 | +| bicycle | 53.55,55.05,55.18,55.31,55.34,55.31,55.29,55.29,55.27,55.24,54.97 | +| lake | 57.66,57.76,57.74,57.74,57.74,57.74,57.74,57.74,57.74,57.73,57.88 | +| dishwasher | 68.32,68.01,67.97,67.98,68.04,68.06,68.01,68.09,68.04,68.01,68.01 | +| screen | 67.05,63.49,63.4,63.51,63.49,63.51,63.43,63.41,63.53,63.43,63.56 | +| blanket | 19.04,20.15,20.21,20.09,20.09,20.12,20.18,20.17,20.12,20.18,20.28 | +| sculpture | 56.67,56.87,56.74,56.71,56.75,56.78,56.8,56.94,56.96,56.79,57.1 | +| hood | 60.0,59.81,59.67,59.75,59.81,59.77,59.83,59.82,59.83,59.73,59.76 | +| sconce | 43.12,43.4,43.51,43.5,43.49,43.46,43.54,43.46,43.46,43.49,43.43 | +| vase | 37.21,38.59,38.56,38.49,38.48,38.49,38.42,38.42,38.47,38.5,38.53 | +| traffic light | 33.87,33.65,33.68,33.68,33.65,33.66,33.66,33.64,33.65,33.66,33.55 | +| tray | 8.27,8.28,8.28,8.27,8.29,8.3,8.27,8.28,8.3,8.32,8.08 | +| ashcan | 41.07,40.26,40.25,40.28,40.27,40.34,40.33,40.41,40.29,40.28,40.23 | +| fan | 57.76,58.6,58.57,58.65,58.65,58.67,58.6,58.62,58.66,58.66,58.7 | +| pier | 49.81,47.84,47.33,47.4,47.17,47.22,47.38,47.42,47.25,47.31,47.1 | +| crt screen | 9.47,12.04,12.14,12.1,12.13,12.15,12.08,12.08,12.12,12.12,12.17 | +| plate | 52.59,53.45,53.46,53.49,53.51,53.53,53.5,53.5,53.48,53.49,53.55 | +| monitor | 33.9,37.51,37.92,37.5,37.77,37.92,37.41,37.28,37.74,37.63,38.34 | +| bulletin board | 36.04,37.1,37.28,37.35,37.34,37.37,37.35,37.35,37.38,37.35,37.23 | +| shower | 1.86,1.9,1.9,1.86,1.88,1.86,1.89,1.86,1.86,1.9,1.89 | +| radiator | 63.61,65.63,65.52,65.43,65.43,65.5,65.48,65.58,65.76,65.79,65.39 | +| glass | 13.82,13.41,13.48,13.39,13.42,13.35,13.38,13.37,13.34,13.38,13.34 | +| clock | 38.1,37.57,37.4,37.48,37.4,37.39,37.36,37.36,37.37,37.26,37.62 | +| flag | 36.22,36.32,36.29,36.3,36.3,36.29,36.27,36.23,36.24,36.28,36.32 | ++---------------------+-------------------------------------------------------------------+ +2023-03-05 05:18:07,410 - mmseg - INFO - Summary: +2023-03-05 05:18:07,410 - mmseg - INFO - ++------------------------------------------------------------------+ +| mIoU 0,10,20,30,40,50,60,70,80,90,99 | ++------------------------------------------------------------------+ +| 48.64,49.1,49.11,49.12,49.12,49.13,49.13,49.12,49.13,49.13,49.15 | ++------------------------------------------------------------------+ +2023-03-05 05:18:07,441 - mmseg - INFO - The previous best checkpoint /mnt/petrelfs/laizeqiang/mmseg-baseline/work_dirs2/ablation_segformer_mit_b2_segformer_head_unet_fc_small_multi_step_ade_pretrained_freeze_embed_160k_ade20k151_mask_finetune_maskonly/best_mIoU_iter_80000.pth was removed +2023-03-05 05:18:08,426 - mmseg - INFO - Now best checkpoint is saved as best_mIoU_iter_112000.pth. +2023-03-05 05:18:08,427 - mmseg - INFO - Best mIoU is 0.4915 at 112000 iter. +2023-03-05 05:18:08,427 - mmseg - INFO - Exp name: ablation_segformer_mit_b2_segformer_head_unet_fc_small_multi_step_ade_pretrained_freeze_embed_160k_ade20k151_mask_finetune_maskonly.py +2023-03-05 05:18:08,427 - mmseg - INFO - Iter(val) [250] mIoU: [0.4864, 0.491, 0.4911, 0.4912, 0.4912, 0.4913, 0.4913, 0.4912, 0.4913, 0.4913, 0.4915], copy_paste: 48.64,49.1,49.11,49.12,49.12,49.13,49.13,49.12,49.13,49.13,49.15 +2023-03-05 05:18:08,434 - mmseg - INFO - Swap parameters (before train) before iter [112001] +2023-03-05 05:18:18,189 - mmseg - INFO - Iter [112050/160000] lr: 4.687e-06, eta: 3:11:26, time: 13.456, data_time: 13.269, memory: 52540, decode.loss_ce: 0.1818, decode.acc_seg: 92.4898, loss: 0.1818 +2023-03-05 05:18:28,088 - mmseg - INFO - Iter [112100/160000] lr: 4.687e-06, eta: 3:11:13, time: 0.198, data_time: 0.008, memory: 52540, decode.loss_ce: 0.1835, decode.acc_seg: 92.5086, loss: 0.1835 +2023-03-05 05:18:37,812 - mmseg - INFO - Iter [112150/160000] lr: 4.687e-06, eta: 3:11:00, time: 0.194, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1830, decode.acc_seg: 92.5644, loss: 0.1830 +2023-03-05 05:18:47,315 - mmseg - INFO - Iter [112200/160000] lr: 4.687e-06, eta: 3:10:47, time: 0.190, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1794, decode.acc_seg: 92.6612, loss: 0.1794 +2023-03-05 05:18:56,848 - mmseg - INFO - Iter [112250/160000] lr: 4.687e-06, eta: 3:10:34, time: 0.191, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1820, decode.acc_seg: 92.4878, loss: 0.1820 +2023-03-05 05:19:06,712 - mmseg - INFO - Iter [112300/160000] lr: 4.687e-06, eta: 3:10:21, time: 0.197, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1846, decode.acc_seg: 92.5988, loss: 0.1846 +2023-03-05 05:19:18,966 - mmseg - INFO - Iter [112350/160000] lr: 4.687e-06, eta: 3:10:09, time: 0.245, data_time: 0.057, memory: 52540, decode.loss_ce: 0.1733, decode.acc_seg: 92.7635, loss: 0.1733 +2023-03-05 05:19:28,827 - mmseg - INFO - Iter [112400/160000] lr: 4.687e-06, eta: 3:09:56, time: 0.197, data_time: 0.008, memory: 52540, decode.loss_ce: 0.1862, decode.acc_seg: 92.4802, loss: 0.1862 +2023-03-05 05:19:38,362 - mmseg - INFO - Iter [112450/160000] lr: 4.687e-06, eta: 3:09:43, time: 0.191, data_time: 0.008, memory: 52540, decode.loss_ce: 0.1861, decode.acc_seg: 92.4648, loss: 0.1861 +2023-03-05 05:19:48,036 - mmseg - INFO - Iter [112500/160000] lr: 4.687e-06, eta: 3:09:30, time: 0.193, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1844, decode.acc_seg: 92.3574, loss: 0.1844 +2023-03-05 05:19:57,987 - mmseg - INFO - Iter [112550/160000] lr: 4.687e-06, eta: 3:09:18, time: 0.199, data_time: 0.008, memory: 52540, decode.loss_ce: 0.1882, decode.acc_seg: 92.3222, loss: 0.1882 +2023-03-05 05:20:07,570 - mmseg - INFO - Iter [112600/160000] lr: 4.687e-06, eta: 3:09:05, time: 0.192, data_time: 0.008, memory: 52540, decode.loss_ce: 0.1823, decode.acc_seg: 92.4602, loss: 0.1823 +2023-03-05 05:20:17,219 - mmseg - INFO - Iter [112650/160000] lr: 4.687e-06, eta: 3:08:52, time: 0.193, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1853, decode.acc_seg: 92.2941, loss: 0.1853 +2023-03-05 05:20:27,116 - mmseg - INFO - Iter [112700/160000] lr: 4.687e-06, eta: 3:08:39, time: 0.198, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1754, decode.acc_seg: 92.6544, loss: 0.1754 +2023-03-05 05:20:36,641 - mmseg - INFO - Iter [112750/160000] lr: 4.687e-06, eta: 3:08:26, time: 0.190, data_time: 0.008, memory: 52540, decode.loss_ce: 0.1896, decode.acc_seg: 92.3101, loss: 0.1896 +2023-03-05 05:20:46,188 - mmseg - INFO - Iter [112800/160000] lr: 4.687e-06, eta: 3:08:13, time: 0.191, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1935, decode.acc_seg: 92.0434, loss: 0.1935 +2023-03-05 05:20:55,686 - mmseg - INFO - Iter [112850/160000] lr: 4.687e-06, eta: 3:08:00, time: 0.190, data_time: 0.008, memory: 52540, decode.loss_ce: 0.1835, decode.acc_seg: 92.4391, loss: 0.1835 +2023-03-05 05:21:05,218 - mmseg - INFO - Iter [112900/160000] lr: 4.687e-06, eta: 3:07:47, time: 0.191, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1773, decode.acc_seg: 92.6728, loss: 0.1773 +2023-03-05 05:21:17,255 - mmseg - INFO - Iter [112950/160000] lr: 4.687e-06, eta: 3:07:35, time: 0.241, data_time: 0.054, memory: 52540, decode.loss_ce: 0.1849, decode.acc_seg: 92.3957, loss: 0.1849 +2023-03-05 05:21:26,978 - mmseg - INFO - Exp name: ablation_segformer_mit_b2_segformer_head_unet_fc_small_multi_step_ade_pretrained_freeze_embed_160k_ade20k151_mask_finetune_maskonly.py +2023-03-05 05:21:26,978 - mmseg - INFO - Iter [113000/160000] lr: 4.687e-06, eta: 3:07:22, time: 0.195, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1857, decode.acc_seg: 92.3611, loss: 0.1857 +2023-03-05 05:21:36,778 - mmseg - INFO - Iter [113050/160000] lr: 4.687e-06, eta: 3:07:09, time: 0.196, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1808, decode.acc_seg: 92.6268, loss: 0.1808 +2023-03-05 05:21:46,345 - mmseg - INFO - Iter [113100/160000] lr: 4.687e-06, eta: 3:06:56, time: 0.191, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1945, decode.acc_seg: 92.0000, loss: 0.1945 +2023-03-05 05:21:55,947 - mmseg - INFO - Iter [113150/160000] lr: 4.687e-06, eta: 3:06:43, time: 0.192, data_time: 0.008, memory: 52540, decode.loss_ce: 0.1872, decode.acc_seg: 92.2959, loss: 0.1872 +2023-03-05 05:22:05,585 - mmseg - INFO - Iter [113200/160000] lr: 4.687e-06, eta: 3:06:30, time: 0.193, data_time: 0.008, memory: 52540, decode.loss_ce: 0.1879, decode.acc_seg: 92.3567, loss: 0.1879 +2023-03-05 05:22:15,120 - mmseg - INFO - Iter [113250/160000] lr: 4.687e-06, eta: 3:06:18, time: 0.191, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1843, decode.acc_seg: 92.5576, loss: 0.1843 +2023-03-05 05:22:24,717 - mmseg - INFO - Iter [113300/160000] lr: 4.687e-06, eta: 3:06:05, time: 0.192, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1869, decode.acc_seg: 92.4564, loss: 0.1869 +2023-03-05 05:22:34,228 - mmseg - INFO - Iter [113350/160000] lr: 4.687e-06, eta: 3:05:52, time: 0.190, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1809, decode.acc_seg: 92.5029, loss: 0.1809 +2023-03-05 05:22:43,924 - mmseg - INFO - Iter [113400/160000] lr: 4.687e-06, eta: 3:05:39, time: 0.194, data_time: 0.008, memory: 52540, decode.loss_ce: 0.1810, decode.acc_seg: 92.5646, loss: 0.1810 +2023-03-05 05:22:53,652 - mmseg - INFO - Iter [113450/160000] lr: 4.687e-06, eta: 3:05:26, time: 0.194, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1792, decode.acc_seg: 92.5182, loss: 0.1792 +2023-03-05 05:23:03,164 - mmseg - INFO - Iter [113500/160000] lr: 4.687e-06, eta: 3:05:13, time: 0.190, data_time: 0.008, memory: 52540, decode.loss_ce: 0.1777, decode.acc_seg: 92.5366, loss: 0.1777 +2023-03-05 05:23:12,671 - mmseg - INFO - Iter [113550/160000] lr: 4.687e-06, eta: 3:05:00, time: 0.190, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1793, decode.acc_seg: 92.6424, loss: 0.1793 +2023-03-05 05:23:24,912 - mmseg - INFO - Iter [113600/160000] lr: 4.687e-06, eta: 3:04:48, time: 0.245, data_time: 0.056, memory: 52540, decode.loss_ce: 0.1870, decode.acc_seg: 92.4537, loss: 0.1870 +2023-03-05 05:23:34,496 - mmseg - INFO - Iter [113650/160000] lr: 4.687e-06, eta: 3:04:35, time: 0.192, data_time: 0.008, memory: 52540, decode.loss_ce: 0.1825, decode.acc_seg: 92.5212, loss: 0.1825 +2023-03-05 05:23:43,925 - mmseg - INFO - Iter [113700/160000] lr: 4.687e-06, eta: 3:04:22, time: 0.189, data_time: 0.008, memory: 52540, decode.loss_ce: 0.1832, decode.acc_seg: 92.4518, loss: 0.1832 +2023-03-05 05:23:53,380 - mmseg - INFO - Iter [113750/160000] lr: 4.687e-06, eta: 3:04:09, time: 0.189, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1852, decode.acc_seg: 92.4214, loss: 0.1852 +2023-03-05 05:24:02,948 - mmseg - INFO - Iter [113800/160000] lr: 4.687e-06, eta: 3:03:56, time: 0.191, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1864, decode.acc_seg: 92.4049, loss: 0.1864 +2023-03-05 05:24:12,423 - mmseg - INFO - Iter [113850/160000] lr: 4.687e-06, eta: 3:03:43, time: 0.189, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1914, decode.acc_seg: 92.2902, loss: 0.1914 +2023-03-05 05:24:21,860 - mmseg - INFO - Iter [113900/160000] lr: 4.687e-06, eta: 3:03:30, time: 0.189, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1909, decode.acc_seg: 92.1557, loss: 0.1909 +2023-03-05 05:24:31,913 - mmseg - INFO - Iter [113950/160000] lr: 4.687e-06, eta: 3:03:18, time: 0.201, data_time: 0.008, memory: 52540, decode.loss_ce: 0.1836, decode.acc_seg: 92.3709, loss: 0.1836 +2023-03-05 05:24:41,528 - mmseg - INFO - Exp name: ablation_segformer_mit_b2_segformer_head_unet_fc_small_multi_step_ade_pretrained_freeze_embed_160k_ade20k151_mask_finetune_maskonly.py +2023-03-05 05:24:41,528 - mmseg - INFO - Iter [114000/160000] lr: 4.687e-06, eta: 3:03:05, time: 0.192, data_time: 0.008, memory: 52540, decode.loss_ce: 0.1867, decode.acc_seg: 92.3941, loss: 0.1867 +2023-03-05 05:24:51,315 - mmseg - INFO - Iter [114050/160000] lr: 4.687e-06, eta: 3:02:52, time: 0.195, data_time: 0.008, memory: 52540, decode.loss_ce: 0.1880, decode.acc_seg: 92.4253, loss: 0.1880 +2023-03-05 05:25:00,989 - mmseg - INFO - Iter [114100/160000] lr: 4.687e-06, eta: 3:02:39, time: 0.194, data_time: 0.008, memory: 52540, decode.loss_ce: 0.1839, decode.acc_seg: 92.3531, loss: 0.1839 +2023-03-05 05:25:10,763 - mmseg - INFO - Iter [114150/160000] lr: 4.687e-06, eta: 3:02:26, time: 0.195, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1867, decode.acc_seg: 92.3905, loss: 0.1867 +2023-03-05 05:25:20,223 - mmseg - INFO - Iter [114200/160000] lr: 4.687e-06, eta: 3:02:14, time: 0.189, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1772, decode.acc_seg: 92.6294, loss: 0.1772 +2023-03-05 05:25:32,450 - mmseg - INFO - Iter [114250/160000] lr: 4.687e-06, eta: 3:02:02, time: 0.245, data_time: 0.055, memory: 52540, decode.loss_ce: 0.1848, decode.acc_seg: 92.5412, loss: 0.1848 +2023-03-05 05:25:41,998 - mmseg - INFO - Iter [114300/160000] lr: 4.687e-06, eta: 3:01:49, time: 0.191, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1922, decode.acc_seg: 92.0391, loss: 0.1922 +2023-03-05 05:25:51,552 - mmseg - INFO - Iter [114350/160000] lr: 4.687e-06, eta: 3:01:36, time: 0.191, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1859, decode.acc_seg: 92.3394, loss: 0.1859 +2023-03-05 05:26:01,449 - mmseg - INFO - Iter [114400/160000] lr: 4.687e-06, eta: 3:01:23, time: 0.198, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1847, decode.acc_seg: 92.2403, loss: 0.1847 +2023-03-05 05:26:10,919 - mmseg - INFO - Iter [114450/160000] lr: 4.687e-06, eta: 3:01:10, time: 0.189, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1861, decode.acc_seg: 92.4605, loss: 0.1861 +2023-03-05 05:26:20,608 - mmseg - INFO - Iter [114500/160000] lr: 4.687e-06, eta: 3:00:57, time: 0.194, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1827, decode.acc_seg: 92.5088, loss: 0.1827 +2023-03-05 05:26:30,372 - mmseg - INFO - Iter [114550/160000] lr: 4.687e-06, eta: 3:00:45, time: 0.195, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1807, decode.acc_seg: 92.4854, loss: 0.1807 +2023-03-05 05:26:40,250 - mmseg - INFO - Iter [114600/160000] lr: 4.687e-06, eta: 3:00:32, time: 0.198, data_time: 0.008, memory: 52540, decode.loss_ce: 0.1809, decode.acc_seg: 92.5641, loss: 0.1809 +2023-03-05 05:26:49,797 - mmseg - INFO - Iter [114650/160000] lr: 4.687e-06, eta: 3:00:19, time: 0.191, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1782, decode.acc_seg: 92.7015, loss: 0.1782 +2023-03-05 05:26:59,304 - mmseg - INFO - Iter [114700/160000] lr: 4.687e-06, eta: 3:00:06, time: 0.190, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1874, decode.acc_seg: 92.4191, loss: 0.1874 +2023-03-05 05:27:08,721 - mmseg - INFO - Iter [114750/160000] lr: 4.687e-06, eta: 2:59:53, time: 0.188, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1782, decode.acc_seg: 92.7640, loss: 0.1782 +2023-03-05 05:27:18,633 - mmseg - INFO - Iter [114800/160000] lr: 4.687e-06, eta: 2:59:40, time: 0.198, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1765, decode.acc_seg: 92.5344, loss: 0.1765 +2023-03-05 05:27:30,718 - mmseg - INFO - Iter [114850/160000] lr: 4.687e-06, eta: 2:59:29, time: 0.242, data_time: 0.059, memory: 52540, decode.loss_ce: 0.1850, decode.acc_seg: 92.3043, loss: 0.1850 +2023-03-05 05:27:40,491 - mmseg - INFO - Iter [114900/160000] lr: 4.687e-06, eta: 2:59:16, time: 0.195, data_time: 0.008, memory: 52540, decode.loss_ce: 0.1901, decode.acc_seg: 92.3495, loss: 0.1901 +2023-03-05 05:27:50,253 - mmseg - INFO - Iter [114950/160000] lr: 4.687e-06, eta: 2:59:03, time: 0.195, data_time: 0.008, memory: 52540, decode.loss_ce: 0.1813, decode.acc_seg: 92.4745, loss: 0.1813 +2023-03-05 05:27:59,872 - mmseg - INFO - Exp name: ablation_segformer_mit_b2_segformer_head_unet_fc_small_multi_step_ade_pretrained_freeze_embed_160k_ade20k151_mask_finetune_maskonly.py +2023-03-05 05:27:59,872 - mmseg - INFO - Iter [115000/160000] lr: 4.687e-06, eta: 2:58:50, time: 0.193, data_time: 0.008, memory: 52540, decode.loss_ce: 0.1843, decode.acc_seg: 92.5357, loss: 0.1843 +2023-03-05 05:28:09,551 - mmseg - INFO - Iter [115050/160000] lr: 4.687e-06, eta: 2:58:37, time: 0.194, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1853, decode.acc_seg: 92.5476, loss: 0.1853 +2023-03-05 05:28:19,095 - mmseg - INFO - Iter [115100/160000] lr: 4.687e-06, eta: 2:58:25, time: 0.191, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1855, decode.acc_seg: 92.3440, loss: 0.1855 +2023-03-05 05:28:28,672 - mmseg - INFO - Iter [115150/160000] lr: 4.687e-06, eta: 2:58:12, time: 0.192, data_time: 0.008, memory: 52540, decode.loss_ce: 0.1843, decode.acc_seg: 92.5129, loss: 0.1843 +2023-03-05 05:28:38,195 - mmseg - INFO - Iter [115200/160000] lr: 4.687e-06, eta: 2:57:59, time: 0.190, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1830, decode.acc_seg: 92.3123, loss: 0.1830 +2023-03-05 05:28:47,855 - mmseg - INFO - Iter [115250/160000] lr: 4.687e-06, eta: 2:57:46, time: 0.193, data_time: 0.008, memory: 52540, decode.loss_ce: 0.1752, decode.acc_seg: 92.7133, loss: 0.1752 +2023-03-05 05:28:57,791 - mmseg - INFO - Iter [115300/160000] lr: 4.687e-06, eta: 2:57:33, time: 0.199, data_time: 0.008, memory: 52540, decode.loss_ce: 0.1824, decode.acc_seg: 92.4281, loss: 0.1824 +2023-03-05 05:29:07,545 - mmseg - INFO - Iter [115350/160000] lr: 4.687e-06, eta: 2:57:21, time: 0.195, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1837, decode.acc_seg: 92.4790, loss: 0.1837 +2023-03-05 05:29:17,490 - mmseg - INFO - Iter [115400/160000] lr: 4.687e-06, eta: 2:57:08, time: 0.199, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1830, decode.acc_seg: 92.4935, loss: 0.1830 +2023-03-05 05:29:26,935 - mmseg - INFO - Iter [115450/160000] lr: 4.687e-06, eta: 2:56:55, time: 0.189, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1899, decode.acc_seg: 92.3418, loss: 0.1899 +2023-03-05 05:29:39,091 - mmseg - INFO - Iter [115500/160000] lr: 4.687e-06, eta: 2:56:43, time: 0.243, data_time: 0.057, memory: 52540, decode.loss_ce: 0.1871, decode.acc_seg: 92.4312, loss: 0.1871 +2023-03-05 05:29:48,818 - mmseg - INFO - Iter [115550/160000] lr: 4.687e-06, eta: 2:56:31, time: 0.195, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1774, decode.acc_seg: 92.6866, loss: 0.1774 +2023-03-05 05:29:58,450 - mmseg - INFO - Iter [115600/160000] lr: 4.687e-06, eta: 2:56:18, time: 0.193, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1812, decode.acc_seg: 92.6106, loss: 0.1812 +2023-03-05 05:30:08,449 - mmseg - INFO - Iter [115650/160000] lr: 4.687e-06, eta: 2:56:05, time: 0.200, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1881, decode.acc_seg: 92.3094, loss: 0.1881 +2023-03-05 05:30:17,901 - mmseg - INFO - Iter [115700/160000] lr: 4.687e-06, eta: 2:55:52, time: 0.189, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1796, decode.acc_seg: 92.6456, loss: 0.1796 +2023-03-05 05:30:27,498 - mmseg - INFO - Iter [115750/160000] lr: 4.687e-06, eta: 2:55:39, time: 0.192, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1810, decode.acc_seg: 92.6428, loss: 0.1810 +2023-03-05 05:30:37,150 - mmseg - INFO - Iter [115800/160000] lr: 4.687e-06, eta: 2:55:27, time: 0.193, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1863, decode.acc_seg: 92.2089, loss: 0.1863 +2023-03-05 05:30:46,684 - mmseg - INFO - Iter [115850/160000] lr: 4.687e-06, eta: 2:55:14, time: 0.191, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1763, decode.acc_seg: 92.9426, loss: 0.1763 +2023-03-05 05:30:56,350 - mmseg - INFO - Iter [115900/160000] lr: 4.687e-06, eta: 2:55:01, time: 0.193, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1820, decode.acc_seg: 92.5260, loss: 0.1820 +2023-03-05 05:31:05,827 - mmseg - INFO - Iter [115950/160000] lr: 4.687e-06, eta: 2:54:48, time: 0.190, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1802, decode.acc_seg: 92.5082, loss: 0.1802 +2023-03-05 05:31:15,296 - mmseg - INFO - Exp name: ablation_segformer_mit_b2_segformer_head_unet_fc_small_multi_step_ade_pretrained_freeze_embed_160k_ade20k151_mask_finetune_maskonly.py +2023-03-05 05:31:15,296 - mmseg - INFO - Iter [116000/160000] lr: 4.687e-06, eta: 2:54:35, time: 0.189, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1761, decode.acc_seg: 92.7141, loss: 0.1761 +2023-03-05 05:31:24,821 - mmseg - INFO - Iter [116050/160000] lr: 4.687e-06, eta: 2:54:23, time: 0.190, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1782, decode.acc_seg: 92.5671, loss: 0.1782 +2023-03-05 05:31:34,578 - mmseg - INFO - Iter [116100/160000] lr: 4.687e-06, eta: 2:54:10, time: 0.195, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1804, decode.acc_seg: 92.5892, loss: 0.1804 +2023-03-05 05:31:46,748 - mmseg - INFO - Iter [116150/160000] lr: 4.687e-06, eta: 2:53:58, time: 0.243, data_time: 0.055, memory: 52540, decode.loss_ce: 0.1853, decode.acc_seg: 92.2100, loss: 0.1853 +2023-03-05 05:31:56,212 - mmseg - INFO - Iter [116200/160000] lr: 4.687e-06, eta: 2:53:45, time: 0.189, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1846, decode.acc_seg: 92.3199, loss: 0.1846 +2023-03-05 05:32:06,058 - mmseg - INFO - Iter [116250/160000] lr: 4.687e-06, eta: 2:53:33, time: 0.197, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1836, decode.acc_seg: 92.3590, loss: 0.1836 +2023-03-05 05:32:15,670 - mmseg - INFO - Iter [116300/160000] lr: 4.687e-06, eta: 2:53:20, time: 0.192, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1826, decode.acc_seg: 92.4108, loss: 0.1826 +2023-03-05 05:32:25,368 - mmseg - INFO - Iter [116350/160000] lr: 4.687e-06, eta: 2:53:07, time: 0.194, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1867, decode.acc_seg: 92.3810, loss: 0.1867 +2023-03-05 05:32:34,874 - mmseg - INFO - Iter [116400/160000] lr: 4.687e-06, eta: 2:52:54, time: 0.190, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1893, decode.acc_seg: 92.3755, loss: 0.1893 +2023-03-05 05:32:44,311 - mmseg - INFO - Iter [116450/160000] lr: 4.687e-06, eta: 2:52:42, time: 0.189, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1844, decode.acc_seg: 92.3760, loss: 0.1844 +2023-03-05 05:32:53,782 - mmseg - INFO - Iter [116500/160000] lr: 4.687e-06, eta: 2:52:29, time: 0.189, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1772, decode.acc_seg: 92.6805, loss: 0.1772 +2023-03-05 05:33:03,363 - mmseg - INFO - Iter [116550/160000] lr: 4.687e-06, eta: 2:52:16, time: 0.192, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1887, decode.acc_seg: 92.3077, loss: 0.1887 +2023-03-05 05:33:13,074 - mmseg - INFO - Iter [116600/160000] lr: 4.687e-06, eta: 2:52:03, time: 0.194, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1815, decode.acc_seg: 92.4385, loss: 0.1815 +2023-03-05 05:33:22,587 - mmseg - INFO - Iter [116650/160000] lr: 4.687e-06, eta: 2:51:50, time: 0.190, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1878, decode.acc_seg: 92.2605, loss: 0.1878 +2023-03-05 05:33:32,014 - mmseg - INFO - Iter [116700/160000] lr: 4.687e-06, eta: 2:51:38, time: 0.189, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1877, decode.acc_seg: 92.3140, loss: 0.1877 +2023-03-05 05:33:44,360 - mmseg - INFO - Iter [116750/160000] lr: 4.687e-06, eta: 2:51:26, time: 0.247, data_time: 0.055, memory: 52540, decode.loss_ce: 0.1850, decode.acc_seg: 92.5033, loss: 0.1850 +2023-03-05 05:33:54,036 - mmseg - INFO - Iter [116800/160000] lr: 4.687e-06, eta: 2:51:13, time: 0.193, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1825, decode.acc_seg: 92.5853, loss: 0.1825 +2023-03-05 05:34:03,683 - mmseg - INFO - Iter [116850/160000] lr: 4.687e-06, eta: 2:51:01, time: 0.193, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1853, decode.acc_seg: 92.4073, loss: 0.1853 +2023-03-05 05:34:13,262 - mmseg - INFO - Iter [116900/160000] lr: 4.687e-06, eta: 2:50:48, time: 0.192, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1831, decode.acc_seg: 92.6108, loss: 0.1831 +2023-03-05 05:34:22,919 - mmseg - INFO - Iter [116950/160000] lr: 4.687e-06, eta: 2:50:35, time: 0.193, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1747, decode.acc_seg: 92.7388, loss: 0.1747 +2023-03-05 05:34:32,799 - mmseg - INFO - Exp name: ablation_segformer_mit_b2_segformer_head_unet_fc_small_multi_step_ade_pretrained_freeze_embed_160k_ade20k151_mask_finetune_maskonly.py +2023-03-05 05:34:32,799 - mmseg - INFO - Iter [117000/160000] lr: 4.687e-06, eta: 2:50:22, time: 0.197, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1874, decode.acc_seg: 92.2747, loss: 0.1874 +2023-03-05 05:34:42,672 - mmseg - INFO - Iter [117050/160000] lr: 4.687e-06, eta: 2:50:10, time: 0.198, data_time: 0.008, memory: 52540, decode.loss_ce: 0.1838, decode.acc_seg: 92.4050, loss: 0.1838 +2023-03-05 05:34:52,133 - mmseg - INFO - Iter [117100/160000] lr: 4.687e-06, eta: 2:49:57, time: 0.189, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1888, decode.acc_seg: 92.4593, loss: 0.1888 +2023-03-05 05:35:01,749 - mmseg - INFO - Iter [117150/160000] lr: 4.687e-06, eta: 2:49:44, time: 0.192, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1876, decode.acc_seg: 92.3322, loss: 0.1876 +2023-03-05 05:35:11,180 - mmseg - INFO - Iter [117200/160000] lr: 4.687e-06, eta: 2:49:32, time: 0.189, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1839, decode.acc_seg: 92.4732, loss: 0.1839 +2023-03-05 05:35:20,748 - mmseg - INFO - Iter [117250/160000] lr: 4.687e-06, eta: 2:49:19, time: 0.191, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1870, decode.acc_seg: 92.3487, loss: 0.1870 +2023-03-05 05:35:30,445 - mmseg - INFO - Iter [117300/160000] lr: 4.687e-06, eta: 2:49:06, time: 0.194, data_time: 0.008, memory: 52540, decode.loss_ce: 0.1866, decode.acc_seg: 92.4103, loss: 0.1866 +2023-03-05 05:35:39,935 - mmseg - INFO - Iter [117350/160000] lr: 4.687e-06, eta: 2:48:53, time: 0.190, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1806, decode.acc_seg: 92.5699, loss: 0.1806 +2023-03-05 05:35:52,169 - mmseg - INFO - Iter [117400/160000] lr: 4.687e-06, eta: 2:48:42, time: 0.245, data_time: 0.055, memory: 52540, decode.loss_ce: 0.1872, decode.acc_seg: 92.3539, loss: 0.1872 +2023-03-05 05:36:01,691 - mmseg - INFO - Iter [117450/160000] lr: 4.687e-06, eta: 2:48:29, time: 0.190, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1867, decode.acc_seg: 92.2082, loss: 0.1867 +2023-03-05 05:36:11,293 - mmseg - INFO - Iter [117500/160000] lr: 4.687e-06, eta: 2:48:16, time: 0.192, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1800, decode.acc_seg: 92.5527, loss: 0.1800 +2023-03-05 05:36:20,890 - mmseg - INFO - Iter [117550/160000] lr: 4.687e-06, eta: 2:48:04, time: 0.192, data_time: 0.008, memory: 52540, decode.loss_ce: 0.1843, decode.acc_seg: 92.3841, loss: 0.1843 +2023-03-05 05:36:30,463 - mmseg - INFO - Iter [117600/160000] lr: 4.687e-06, eta: 2:47:51, time: 0.191, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1841, decode.acc_seg: 92.4131, loss: 0.1841 +2023-03-05 05:36:40,035 - mmseg - INFO - Iter [117650/160000] lr: 4.687e-06, eta: 2:47:38, time: 0.191, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1818, decode.acc_seg: 92.6824, loss: 0.1818 +2023-03-05 05:36:49,672 - mmseg - INFO - Iter [117700/160000] lr: 4.687e-06, eta: 2:47:25, time: 0.193, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1864, decode.acc_seg: 92.2543, loss: 0.1864 +2023-03-05 05:36:59,740 - mmseg - INFO - Iter [117750/160000] lr: 4.687e-06, eta: 2:47:13, time: 0.201, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1837, decode.acc_seg: 92.4712, loss: 0.1837 +2023-03-05 05:37:09,489 - mmseg - INFO - Iter [117800/160000] lr: 4.687e-06, eta: 2:47:00, time: 0.195, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1852, decode.acc_seg: 92.4510, loss: 0.1852 +2023-03-05 05:37:18,936 - mmseg - INFO - Iter [117850/160000] lr: 4.687e-06, eta: 2:46:48, time: 0.189, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1864, decode.acc_seg: 92.4062, loss: 0.1864 +2023-03-05 05:37:28,347 - mmseg - INFO - Iter [117900/160000] lr: 4.687e-06, eta: 2:46:35, time: 0.188, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1803, decode.acc_seg: 92.6742, loss: 0.1803 +2023-03-05 05:37:37,819 - mmseg - INFO - Iter [117950/160000] lr: 4.687e-06, eta: 2:46:22, time: 0.189, data_time: 0.008, memory: 52540, decode.loss_ce: 0.1794, decode.acc_seg: 92.7309, loss: 0.1794 +2023-03-05 05:37:49,800 - mmseg - INFO - Exp name: ablation_segformer_mit_b2_segformer_head_unet_fc_small_multi_step_ade_pretrained_freeze_embed_160k_ade20k151_mask_finetune_maskonly.py +2023-03-05 05:37:49,800 - mmseg - INFO - Iter [118000/160000] lr: 4.687e-06, eta: 2:46:10, time: 0.240, data_time: 0.055, memory: 52540, decode.loss_ce: 0.1804, decode.acc_seg: 92.6008, loss: 0.1804 +2023-03-05 05:37:59,334 - mmseg - INFO - Iter [118050/160000] lr: 4.687e-06, eta: 2:45:58, time: 0.190, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1779, decode.acc_seg: 92.5711, loss: 0.1779 +2023-03-05 05:38:08,924 - mmseg - INFO - Iter [118100/160000] lr: 4.687e-06, eta: 2:45:45, time: 0.192, data_time: 0.008, memory: 52540, decode.loss_ce: 0.1819, decode.acc_seg: 92.4730, loss: 0.1819 +2023-03-05 05:38:18,594 - mmseg - INFO - Iter [118150/160000] lr: 4.687e-06, eta: 2:45:32, time: 0.194, data_time: 0.008, memory: 52540, decode.loss_ce: 0.1786, decode.acc_seg: 92.4956, loss: 0.1786 +2023-03-05 05:38:28,241 - mmseg - INFO - Iter [118200/160000] lr: 4.687e-06, eta: 2:45:20, time: 0.193, data_time: 0.008, memory: 52540, decode.loss_ce: 0.1798, decode.acc_seg: 92.7229, loss: 0.1798 +2023-03-05 05:38:37,954 - mmseg - INFO - Iter [118250/160000] lr: 4.687e-06, eta: 2:45:07, time: 0.194, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1899, decode.acc_seg: 92.5157, loss: 0.1899 +2023-03-05 05:38:47,657 - mmseg - INFO - Iter [118300/160000] lr: 4.687e-06, eta: 2:44:54, time: 0.194, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1869, decode.acc_seg: 92.4302, loss: 0.1869 +2023-03-05 05:38:57,489 - mmseg - INFO - Iter [118350/160000] lr: 4.687e-06, eta: 2:44:42, time: 0.197, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1861, decode.acc_seg: 92.2972, loss: 0.1861 +2023-03-05 05:39:07,089 - mmseg - INFO - Iter [118400/160000] lr: 4.687e-06, eta: 2:44:29, time: 0.192, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1861, decode.acc_seg: 92.4030, loss: 0.1861 +2023-03-05 05:39:16,949 - mmseg - INFO - Iter [118450/160000] lr: 4.687e-06, eta: 2:44:16, time: 0.197, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1883, decode.acc_seg: 92.2894, loss: 0.1883 +2023-03-05 05:39:26,519 - mmseg - INFO - Iter [118500/160000] lr: 4.687e-06, eta: 2:44:04, time: 0.191, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1763, decode.acc_seg: 92.6157, loss: 0.1763 +2023-03-05 05:39:36,091 - mmseg - INFO - Iter [118550/160000] lr: 4.687e-06, eta: 2:43:51, time: 0.191, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1830, decode.acc_seg: 92.5177, loss: 0.1830 +2023-03-05 05:39:45,850 - mmseg - INFO - Iter [118600/160000] lr: 4.687e-06, eta: 2:43:39, time: 0.195, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1850, decode.acc_seg: 92.4253, loss: 0.1850 +2023-03-05 05:39:57,801 - mmseg - INFO - Iter [118650/160000] lr: 4.687e-06, eta: 2:43:27, time: 0.239, data_time: 0.054, memory: 52540, decode.loss_ce: 0.1823, decode.acc_seg: 92.4739, loss: 0.1823 +2023-03-05 05:40:07,674 - mmseg - INFO - Iter [118700/160000] lr: 4.687e-06, eta: 2:43:14, time: 0.197, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1777, decode.acc_seg: 92.6768, loss: 0.1777 +2023-03-05 05:40:17,179 - mmseg - INFO - Iter [118750/160000] lr: 4.687e-06, eta: 2:43:02, time: 0.190, data_time: 0.008, memory: 52540, decode.loss_ce: 0.1854, decode.acc_seg: 92.3701, loss: 0.1854 +2023-03-05 05:40:26,703 - mmseg - INFO - Iter [118800/160000] lr: 4.687e-06, eta: 2:42:49, time: 0.190, data_time: 0.008, memory: 52540, decode.loss_ce: 0.1799, decode.acc_seg: 92.6707, loss: 0.1799 +2023-03-05 05:40:36,248 - mmseg - INFO - Iter [118850/160000] lr: 4.687e-06, eta: 2:42:36, time: 0.191, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1842, decode.acc_seg: 92.4244, loss: 0.1842 +2023-03-05 05:40:45,847 - mmseg - INFO - Iter [118900/160000] lr: 4.687e-06, eta: 2:42:24, time: 0.192, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1734, decode.acc_seg: 92.8054, loss: 0.1734 +2023-03-05 05:40:55,314 - mmseg - INFO - Iter [118950/160000] lr: 4.687e-06, eta: 2:42:11, time: 0.189, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1863, decode.acc_seg: 92.3439, loss: 0.1863 +2023-03-05 05:41:04,943 - mmseg - INFO - Exp name: ablation_segformer_mit_b2_segformer_head_unet_fc_small_multi_step_ade_pretrained_freeze_embed_160k_ade20k151_mask_finetune_maskonly.py +2023-03-05 05:41:04,943 - mmseg - INFO - Iter [119000/160000] lr: 4.687e-06, eta: 2:41:58, time: 0.193, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1801, decode.acc_seg: 92.6185, loss: 0.1801 +2023-03-05 05:41:14,578 - mmseg - INFO - Iter [119050/160000] lr: 4.687e-06, eta: 2:41:46, time: 0.193, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1789, decode.acc_seg: 92.6361, loss: 0.1789 +2023-03-05 05:41:24,303 - mmseg - INFO - Iter [119100/160000] lr: 4.687e-06, eta: 2:41:33, time: 0.195, data_time: 0.008, memory: 52540, decode.loss_ce: 0.1852, decode.acc_seg: 92.3927, loss: 0.1852 +2023-03-05 05:41:34,056 - mmseg - INFO - Iter [119150/160000] lr: 4.687e-06, eta: 2:41:20, time: 0.195, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1802, decode.acc_seg: 92.6301, loss: 0.1802 +2023-03-05 05:41:43,506 - mmseg - INFO - Iter [119200/160000] lr: 4.687e-06, eta: 2:41:08, time: 0.189, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1858, decode.acc_seg: 92.4089, loss: 0.1858 +2023-03-05 05:41:52,935 - mmseg - INFO - Iter [119250/160000] lr: 4.687e-06, eta: 2:40:55, time: 0.189, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1807, decode.acc_seg: 92.5047, loss: 0.1807 +2023-03-05 05:42:05,084 - mmseg - INFO - Iter [119300/160000] lr: 4.687e-06, eta: 2:40:43, time: 0.243, data_time: 0.057, memory: 52540, decode.loss_ce: 0.1832, decode.acc_seg: 92.4521, loss: 0.1832 +2023-03-05 05:42:14,667 - mmseg - INFO - Iter [119350/160000] lr: 4.687e-06, eta: 2:40:31, time: 0.192, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1841, decode.acc_seg: 92.3565, loss: 0.1841 +2023-03-05 05:42:24,139 - mmseg - INFO - Iter [119400/160000] lr: 4.687e-06, eta: 2:40:18, time: 0.189, data_time: 0.008, memory: 52540, decode.loss_ce: 0.1861, decode.acc_seg: 92.2951, loss: 0.1861 +2023-03-05 05:42:33,954 - mmseg - INFO - Iter [119450/160000] lr: 4.687e-06, eta: 2:40:06, time: 0.196, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1854, decode.acc_seg: 92.4046, loss: 0.1854 +2023-03-05 05:42:43,676 - mmseg - INFO - Iter [119500/160000] lr: 4.687e-06, eta: 2:39:53, time: 0.194, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1809, decode.acc_seg: 92.5306, loss: 0.1809 +2023-03-05 05:42:53,162 - mmseg - INFO - Iter [119550/160000] lr: 4.687e-06, eta: 2:39:40, time: 0.190, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1834, decode.acc_seg: 92.3842, loss: 0.1834 +2023-03-05 05:43:02,659 - mmseg - INFO - Iter [119600/160000] lr: 4.687e-06, eta: 2:39:28, time: 0.190, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1828, decode.acc_seg: 92.5411, loss: 0.1828 +2023-03-05 05:43:12,085 - mmseg - INFO - Iter [119650/160000] lr: 4.687e-06, eta: 2:39:15, time: 0.189, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1819, decode.acc_seg: 92.5681, loss: 0.1819 +2023-03-05 05:43:21,668 - mmseg - INFO - Iter [119700/160000] lr: 4.687e-06, eta: 2:39:02, time: 0.192, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1832, decode.acc_seg: 92.3121, loss: 0.1832 +2023-03-05 05:43:31,099 - mmseg - INFO - Iter [119750/160000] lr: 4.687e-06, eta: 2:38:50, time: 0.189, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1800, decode.acc_seg: 92.5491, loss: 0.1800 +2023-03-05 05:43:40,572 - mmseg - INFO - Iter [119800/160000] lr: 4.687e-06, eta: 2:38:37, time: 0.189, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1774, decode.acc_seg: 92.6857, loss: 0.1774 +2023-03-05 05:43:50,227 - mmseg - INFO - Iter [119850/160000] lr: 4.687e-06, eta: 2:38:25, time: 0.193, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1944, decode.acc_seg: 92.4037, loss: 0.1944 +2023-03-05 05:44:02,740 - mmseg - INFO - Iter [119900/160000] lr: 4.687e-06, eta: 2:38:13, time: 0.250, data_time: 0.057, memory: 52540, decode.loss_ce: 0.1928, decode.acc_seg: 92.2703, loss: 0.1928 +2023-03-05 05:44:12,383 - mmseg - INFO - Iter [119950/160000] lr: 4.687e-06, eta: 2:38:00, time: 0.193, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1827, decode.acc_seg: 92.4664, loss: 0.1827 +2023-03-05 05:44:21,985 - mmseg - INFO - Exp name: ablation_segformer_mit_b2_segformer_head_unet_fc_small_multi_step_ade_pretrained_freeze_embed_160k_ade20k151_mask_finetune_maskonly.py +2023-03-05 05:44:21,985 - mmseg - INFO - Iter [120000/160000] lr: 4.687e-06, eta: 2:37:48, time: 0.192, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1818, decode.acc_seg: 92.4638, loss: 0.1818 +2023-03-05 05:44:31,955 - mmseg - INFO - Iter [120050/160000] lr: 2.344e-06, eta: 2:37:35, time: 0.199, data_time: 0.008, memory: 52540, decode.loss_ce: 0.1852, decode.acc_seg: 92.3541, loss: 0.1852 +2023-03-05 05:44:41,569 - mmseg - INFO - Iter [120100/160000] lr: 2.344e-06, eta: 2:37:23, time: 0.192, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1820, decode.acc_seg: 92.5895, loss: 0.1820 +2023-03-05 05:44:51,579 - mmseg - INFO - Iter [120150/160000] lr: 2.344e-06, eta: 2:37:10, time: 0.200, data_time: 0.008, memory: 52540, decode.loss_ce: 0.1708, decode.acc_seg: 92.9211, loss: 0.1708 +2023-03-05 05:45:01,185 - mmseg - INFO - Iter [120200/160000] lr: 2.344e-06, eta: 2:36:58, time: 0.192, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1792, decode.acc_seg: 92.5866, loss: 0.1792 +2023-03-05 05:45:10,637 - mmseg - INFO - Iter [120250/160000] lr: 2.344e-06, eta: 2:36:45, time: 0.189, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1872, decode.acc_seg: 92.2261, loss: 0.1872 +2023-03-05 05:45:20,247 - mmseg - INFO - Iter [120300/160000] lr: 2.344e-06, eta: 2:36:33, time: 0.192, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1842, decode.acc_seg: 92.4246, loss: 0.1842 +2023-03-05 05:45:29,881 - mmseg - INFO - Iter [120350/160000] lr: 2.344e-06, eta: 2:36:20, time: 0.193, data_time: 0.008, memory: 52540, decode.loss_ce: 0.1870, decode.acc_seg: 92.4250, loss: 0.1870 +2023-03-05 05:45:39,374 - mmseg - INFO - Iter [120400/160000] lr: 2.344e-06, eta: 2:36:08, time: 0.190, data_time: 0.008, memory: 52540, decode.loss_ce: 0.1776, decode.acc_seg: 92.7437, loss: 0.1776 +2023-03-05 05:45:48,852 - mmseg - INFO - Iter [120450/160000] lr: 2.344e-06, eta: 2:35:55, time: 0.190, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1813, decode.acc_seg: 92.4562, loss: 0.1813 +2023-03-05 05:45:58,449 - mmseg - INFO - Iter [120500/160000] lr: 2.344e-06, eta: 2:35:42, time: 0.192, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1913, decode.acc_seg: 92.2249, loss: 0.1913 +2023-03-05 05:46:10,380 - mmseg - INFO - Iter [120550/160000] lr: 2.344e-06, eta: 2:35:31, time: 0.239, data_time: 0.055, memory: 52540, decode.loss_ce: 0.1788, decode.acc_seg: 92.6092, loss: 0.1788 +2023-03-05 05:46:19,835 - mmseg - INFO - Iter [120600/160000] lr: 2.344e-06, eta: 2:35:18, time: 0.189, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1830, decode.acc_seg: 92.3825, loss: 0.1830 +2023-03-05 05:46:29,425 - mmseg - INFO - Iter [120650/160000] lr: 2.344e-06, eta: 2:35:05, time: 0.192, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1820, decode.acc_seg: 92.4834, loss: 0.1820 +2023-03-05 05:46:38,934 - mmseg - INFO - Iter [120700/160000] lr: 2.344e-06, eta: 2:34:53, time: 0.190, data_time: 0.008, memory: 52540, decode.loss_ce: 0.1823, decode.acc_seg: 92.5174, loss: 0.1823 +2023-03-05 05:46:48,422 - mmseg - INFO - Iter [120750/160000] lr: 2.344e-06, eta: 2:34:40, time: 0.190, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1931, decode.acc_seg: 92.0888, loss: 0.1931 +2023-03-05 05:46:58,140 - mmseg - INFO - Iter [120800/160000] lr: 2.344e-06, eta: 2:34:28, time: 0.194, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1776, decode.acc_seg: 92.5889, loss: 0.1776 +2023-03-05 05:47:08,068 - mmseg - INFO - Iter [120850/160000] lr: 2.344e-06, eta: 2:34:15, time: 0.199, data_time: 0.008, memory: 52540, decode.loss_ce: 0.1799, decode.acc_seg: 92.6230, loss: 0.1799 +2023-03-05 05:47:17,588 - mmseg - INFO - Iter [120900/160000] lr: 2.344e-06, eta: 2:34:03, time: 0.190, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1841, decode.acc_seg: 92.5165, loss: 0.1841 +2023-03-05 05:47:27,392 - mmseg - INFO - Iter [120950/160000] lr: 2.344e-06, eta: 2:33:50, time: 0.196, data_time: 0.008, memory: 52540, decode.loss_ce: 0.1760, decode.acc_seg: 92.5971, loss: 0.1760 +2023-03-05 05:47:36,887 - mmseg - INFO - Exp name: ablation_segformer_mit_b2_segformer_head_unet_fc_small_multi_step_ade_pretrained_freeze_embed_160k_ade20k151_mask_finetune_maskonly.py +2023-03-05 05:47:36,887 - mmseg - INFO - Iter [121000/160000] lr: 2.344e-06, eta: 2:33:38, time: 0.190, data_time: 0.008, memory: 52540, decode.loss_ce: 0.1832, decode.acc_seg: 92.4821, loss: 0.1832 +2023-03-05 05:47:46,304 - mmseg - INFO - Iter [121050/160000] lr: 2.344e-06, eta: 2:33:25, time: 0.188, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1802, decode.acc_seg: 92.6313, loss: 0.1802 +2023-03-05 05:47:55,983 - mmseg - INFO - Iter [121100/160000] lr: 2.344e-06, eta: 2:33:13, time: 0.194, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1799, decode.acc_seg: 92.5604, loss: 0.1799 +2023-03-05 05:48:05,837 - mmseg - INFO - Iter [121150/160000] lr: 2.344e-06, eta: 2:33:00, time: 0.197, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1856, decode.acc_seg: 92.4487, loss: 0.1856 +2023-03-05 05:48:18,020 - mmseg - INFO - Iter [121200/160000] lr: 2.344e-06, eta: 2:32:48, time: 0.244, data_time: 0.058, memory: 52540, decode.loss_ce: 0.1809, decode.acc_seg: 92.3996, loss: 0.1809 +2023-03-05 05:48:27,586 - mmseg - INFO - Iter [121250/160000] lr: 2.344e-06, eta: 2:32:36, time: 0.191, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1852, decode.acc_seg: 92.4436, loss: 0.1852 +2023-03-05 05:48:37,041 - mmseg - INFO - Iter [121300/160000] lr: 2.344e-06, eta: 2:32:23, time: 0.189, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1823, decode.acc_seg: 92.6116, loss: 0.1823 +2023-03-05 05:48:47,013 - mmseg - INFO - Iter [121350/160000] lr: 2.344e-06, eta: 2:32:11, time: 0.199, data_time: 0.008, memory: 52540, decode.loss_ce: 0.1851, decode.acc_seg: 92.3912, loss: 0.1851 +2023-03-05 05:48:56,705 - mmseg - INFO - Iter [121400/160000] lr: 2.344e-06, eta: 2:31:58, time: 0.194, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1878, decode.acc_seg: 92.4024, loss: 0.1878 +2023-03-05 05:49:06,354 - mmseg - INFO - Iter [121450/160000] lr: 2.344e-06, eta: 2:31:46, time: 0.193, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1829, decode.acc_seg: 92.5648, loss: 0.1829 +2023-03-05 05:49:16,158 - mmseg - INFO - Iter [121500/160000] lr: 2.344e-06, eta: 2:31:34, time: 0.196, data_time: 0.008, memory: 52540, decode.loss_ce: 0.1817, decode.acc_seg: 92.5573, loss: 0.1817 +2023-03-05 05:49:25,846 - mmseg - INFO - Iter [121550/160000] lr: 2.344e-06, eta: 2:31:21, time: 0.194, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1862, decode.acc_seg: 92.4559, loss: 0.1862 +2023-03-05 05:49:35,417 - mmseg - INFO - Iter [121600/160000] lr: 2.344e-06, eta: 2:31:09, time: 0.191, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1805, decode.acc_seg: 92.6117, loss: 0.1805 +2023-03-05 05:49:44,922 - mmseg - INFO - Iter [121650/160000] lr: 2.344e-06, eta: 2:30:56, time: 0.190, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1799, decode.acc_seg: 92.6281, loss: 0.1799 +2023-03-05 05:49:54,813 - mmseg - INFO - Iter [121700/160000] lr: 2.344e-06, eta: 2:30:44, time: 0.198, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1777, decode.acc_seg: 92.6032, loss: 0.1777 +2023-03-05 05:50:04,324 - mmseg - INFO - Iter [121750/160000] lr: 2.344e-06, eta: 2:30:31, time: 0.190, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1824, decode.acc_seg: 92.4895, loss: 0.1824 +2023-03-05 05:50:16,429 - mmseg - INFO - Iter [121800/160000] lr: 2.344e-06, eta: 2:30:19, time: 0.242, data_time: 0.055, memory: 52540, decode.loss_ce: 0.1730, decode.acc_seg: 92.7421, loss: 0.1730 +2023-03-05 05:50:26,025 - mmseg - INFO - Iter [121850/160000] lr: 2.344e-06, eta: 2:30:07, time: 0.192, data_time: 0.008, memory: 52540, decode.loss_ce: 0.1817, decode.acc_seg: 92.5038, loss: 0.1817 +2023-03-05 05:50:35,583 - mmseg - INFO - Iter [121900/160000] lr: 2.344e-06, eta: 2:29:54, time: 0.191, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1851, decode.acc_seg: 92.4906, loss: 0.1851 +2023-03-05 05:50:45,164 - mmseg - INFO - Iter [121950/160000] lr: 2.344e-06, eta: 2:29:42, time: 0.192, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1836, decode.acc_seg: 92.4275, loss: 0.1836 +2023-03-05 05:50:54,746 - mmseg - INFO - Exp name: ablation_segformer_mit_b2_segformer_head_unet_fc_small_multi_step_ade_pretrained_freeze_embed_160k_ade20k151_mask_finetune_maskonly.py +2023-03-05 05:50:54,746 - mmseg - INFO - Iter [122000/160000] lr: 2.344e-06, eta: 2:29:29, time: 0.192, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1803, decode.acc_seg: 92.6606, loss: 0.1803 +2023-03-05 05:51:04,169 - mmseg - INFO - Iter [122050/160000] lr: 2.344e-06, eta: 2:29:17, time: 0.188, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1878, decode.acc_seg: 92.3469, loss: 0.1878 +2023-03-05 05:51:14,065 - mmseg - INFO - Iter [122100/160000] lr: 2.344e-06, eta: 2:29:04, time: 0.198, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1834, decode.acc_seg: 92.4030, loss: 0.1834 +2023-03-05 05:51:23,770 - mmseg - INFO - Iter [122150/160000] lr: 2.344e-06, eta: 2:28:52, time: 0.194, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1880, decode.acc_seg: 92.2115, loss: 0.1880 +2023-03-05 05:51:33,301 - mmseg - INFO - Iter [122200/160000] lr: 2.344e-06, eta: 2:28:39, time: 0.191, data_time: 0.008, memory: 52540, decode.loss_ce: 0.1840, decode.acc_seg: 92.4319, loss: 0.1840 +2023-03-05 05:51:43,064 - mmseg - INFO - Iter [122250/160000] lr: 2.344e-06, eta: 2:28:27, time: 0.195, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1840, decode.acc_seg: 92.5374, loss: 0.1840 +2023-03-05 05:51:53,201 - mmseg - INFO - Iter [122300/160000] lr: 2.344e-06, eta: 2:28:15, time: 0.203, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1815, decode.acc_seg: 92.6410, loss: 0.1815 +2023-03-05 05:52:02,877 - mmseg - INFO - Iter [122350/160000] lr: 2.344e-06, eta: 2:28:02, time: 0.194, data_time: 0.008, memory: 52540, decode.loss_ce: 0.1837, decode.acc_seg: 92.5015, loss: 0.1837 +2023-03-05 05:52:12,387 - mmseg - INFO - Iter [122400/160000] lr: 2.344e-06, eta: 2:27:50, time: 0.190, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1917, decode.acc_seg: 92.2663, loss: 0.1917 +2023-03-05 05:52:24,582 - mmseg - INFO - Iter [122450/160000] lr: 2.344e-06, eta: 2:27:38, time: 0.244, data_time: 0.057, memory: 52540, decode.loss_ce: 0.1813, decode.acc_seg: 92.4574, loss: 0.1813 +2023-03-05 05:52:34,064 - mmseg - INFO - Iter [122500/160000] lr: 2.344e-06, eta: 2:27:26, time: 0.190, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1845, decode.acc_seg: 92.4341, loss: 0.1845 +2023-03-05 05:52:43,662 - mmseg - INFO - Iter [122550/160000] lr: 2.344e-06, eta: 2:27:13, time: 0.192, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1851, decode.acc_seg: 92.4784, loss: 0.1851 +2023-03-05 05:52:53,343 - mmseg - INFO - Iter [122600/160000] lr: 2.344e-06, eta: 2:27:01, time: 0.194, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1866, decode.acc_seg: 92.2934, loss: 0.1866 +2023-03-05 05:53:02,930 - mmseg - INFO - Iter [122650/160000] lr: 2.344e-06, eta: 2:26:48, time: 0.192, data_time: 0.008, memory: 52540, decode.loss_ce: 0.1834, decode.acc_seg: 92.4324, loss: 0.1834 +2023-03-05 05:53:12,541 - mmseg - INFO - Iter [122700/160000] lr: 2.344e-06, eta: 2:26:36, time: 0.192, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1800, decode.acc_seg: 92.6212, loss: 0.1800 +2023-03-05 05:53:22,089 - mmseg - INFO - Iter [122750/160000] lr: 2.344e-06, eta: 2:26:23, time: 0.191, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1754, decode.acc_seg: 92.6890, loss: 0.1754 +2023-03-05 05:53:31,500 - mmseg - INFO - Iter [122800/160000] lr: 2.344e-06, eta: 2:26:11, time: 0.188, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1870, decode.acc_seg: 92.3027, loss: 0.1870 +2023-03-05 05:53:41,039 - mmseg - INFO - Iter [122850/160000] lr: 2.344e-06, eta: 2:25:58, time: 0.191, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1789, decode.acc_seg: 92.6697, loss: 0.1789 +2023-03-05 05:53:50,921 - mmseg - INFO - Iter [122900/160000] lr: 2.344e-06, eta: 2:25:46, time: 0.198, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1827, decode.acc_seg: 92.5617, loss: 0.1827 +2023-03-05 05:54:00,583 - mmseg - INFO - Iter [122950/160000] lr: 2.344e-06, eta: 2:25:34, time: 0.193, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1865, decode.acc_seg: 92.4126, loss: 0.1865 +2023-03-05 05:54:10,046 - mmseg - INFO - Exp name: ablation_segformer_mit_b2_segformer_head_unet_fc_small_multi_step_ade_pretrained_freeze_embed_160k_ade20k151_mask_finetune_maskonly.py +2023-03-05 05:54:10,046 - mmseg - INFO - Iter [123000/160000] lr: 2.344e-06, eta: 2:25:21, time: 0.189, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1780, decode.acc_seg: 92.6600, loss: 0.1780 +2023-03-05 05:54:22,208 - mmseg - INFO - Iter [123050/160000] lr: 2.344e-06, eta: 2:25:09, time: 0.243, data_time: 0.058, memory: 52540, decode.loss_ce: 0.1859, decode.acc_seg: 92.4350, loss: 0.1859 +2023-03-05 05:54:32,058 - mmseg - INFO - Iter [123100/160000] lr: 2.344e-06, eta: 2:24:57, time: 0.197, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1776, decode.acc_seg: 92.6028, loss: 0.1776 +2023-03-05 05:54:41,784 - mmseg - INFO - Iter [123150/160000] lr: 2.344e-06, eta: 2:24:45, time: 0.195, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1804, decode.acc_seg: 92.6814, loss: 0.1804 +2023-03-05 05:54:51,623 - mmseg - INFO - Iter [123200/160000] lr: 2.344e-06, eta: 2:24:32, time: 0.197, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1916, decode.acc_seg: 92.1780, loss: 0.1916 +2023-03-05 05:55:01,272 - mmseg - INFO - Iter [123250/160000] lr: 2.344e-06, eta: 2:24:20, time: 0.193, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1787, decode.acc_seg: 92.6138, loss: 0.1787 +2023-03-05 05:55:11,141 - mmseg - INFO - Iter [123300/160000] lr: 2.344e-06, eta: 2:24:07, time: 0.197, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1775, decode.acc_seg: 92.6662, loss: 0.1775 +2023-03-05 05:55:20,686 - mmseg - INFO - Iter [123350/160000] lr: 2.344e-06, eta: 2:23:55, time: 0.191, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1804, decode.acc_seg: 92.5856, loss: 0.1804 +2023-03-05 05:55:30,275 - mmseg - INFO - Iter [123400/160000] lr: 2.344e-06, eta: 2:23:43, time: 0.192, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1831, decode.acc_seg: 92.4756, loss: 0.1831 +2023-03-05 05:55:39,847 - mmseg - INFO - Iter [123450/160000] lr: 2.344e-06, eta: 2:23:30, time: 0.191, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1818, decode.acc_seg: 92.3975, loss: 0.1818 +2023-03-05 05:55:49,363 - mmseg - INFO - Iter [123500/160000] lr: 2.344e-06, eta: 2:23:18, time: 0.190, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1856, decode.acc_seg: 92.3878, loss: 0.1856 +2023-03-05 05:55:58,789 - mmseg - INFO - Iter [123550/160000] lr: 2.344e-06, eta: 2:23:05, time: 0.189, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1904, decode.acc_seg: 92.3114, loss: 0.1904 +2023-03-05 05:56:08,367 - mmseg - INFO - Iter [123600/160000] lr: 2.344e-06, eta: 2:22:53, time: 0.192, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1885, decode.acc_seg: 92.3404, loss: 0.1885 +2023-03-05 05:56:17,791 - mmseg - INFO - Iter [123650/160000] lr: 2.344e-06, eta: 2:22:40, time: 0.188, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1789, decode.acc_seg: 92.7303, loss: 0.1789 +2023-03-05 05:56:30,000 - mmseg - INFO - Iter [123700/160000] lr: 2.344e-06, eta: 2:22:29, time: 0.244, data_time: 0.054, memory: 52540, decode.loss_ce: 0.1805, decode.acc_seg: 92.5920, loss: 0.1805 +2023-03-05 05:56:39,700 - mmseg - INFO - Iter [123750/160000] lr: 2.344e-06, eta: 2:22:16, time: 0.194, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1787, decode.acc_seg: 92.7857, loss: 0.1787 +2023-03-05 05:56:49,667 - mmseg - INFO - Iter [123800/160000] lr: 2.344e-06, eta: 2:22:04, time: 0.199, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1869, decode.acc_seg: 92.3682, loss: 0.1869 +2023-03-05 05:56:59,356 - mmseg - INFO - Iter [123850/160000] lr: 2.344e-06, eta: 2:21:52, time: 0.194, data_time: 0.008, memory: 52540, decode.loss_ce: 0.1891, decode.acc_seg: 92.2218, loss: 0.1891 +2023-03-05 05:57:08,913 - mmseg - INFO - Iter [123900/160000] lr: 2.344e-06, eta: 2:21:39, time: 0.191, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1827, decode.acc_seg: 92.4227, loss: 0.1827 +2023-03-05 05:57:18,714 - mmseg - INFO - Iter [123950/160000] lr: 2.344e-06, eta: 2:21:27, time: 0.196, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1839, decode.acc_seg: 92.4710, loss: 0.1839 +2023-03-05 05:57:28,360 - mmseg - INFO - Exp name: ablation_segformer_mit_b2_segformer_head_unet_fc_small_multi_step_ade_pretrained_freeze_embed_160k_ade20k151_mask_finetune_maskonly.py +2023-03-05 05:57:28,360 - mmseg - INFO - Iter [124000/160000] lr: 2.344e-06, eta: 2:21:14, time: 0.193, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1780, decode.acc_seg: 92.7431, loss: 0.1780 +2023-03-05 05:57:38,018 - mmseg - INFO - Iter [124050/160000] lr: 2.344e-06, eta: 2:21:02, time: 0.193, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1911, decode.acc_seg: 92.1361, loss: 0.1911 +2023-03-05 05:57:47,766 - mmseg - INFO - Iter [124100/160000] lr: 2.344e-06, eta: 2:20:50, time: 0.195, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1839, decode.acc_seg: 92.6343, loss: 0.1839 +2023-03-05 05:57:57,192 - mmseg - INFO - Iter [124150/160000] lr: 2.344e-06, eta: 2:20:37, time: 0.189, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1810, decode.acc_seg: 92.7114, loss: 0.1810 +2023-03-05 05:58:06,897 - mmseg - INFO - Iter [124200/160000] lr: 2.344e-06, eta: 2:20:25, time: 0.194, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1873, decode.acc_seg: 92.4058, loss: 0.1873 +2023-03-05 05:58:16,619 - mmseg - INFO - Iter [124250/160000] lr: 2.344e-06, eta: 2:20:13, time: 0.194, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1774, decode.acc_seg: 92.6338, loss: 0.1774 +2023-03-05 05:58:26,177 - mmseg - INFO - Iter [124300/160000] lr: 2.344e-06, eta: 2:20:00, time: 0.191, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1905, decode.acc_seg: 92.2557, loss: 0.1905 +2023-03-05 05:58:38,293 - mmseg - INFO - Iter [124350/160000] lr: 2.344e-06, eta: 2:19:48, time: 0.242, data_time: 0.053, memory: 52540, decode.loss_ce: 0.1815, decode.acc_seg: 92.4384, loss: 0.1815 +2023-03-05 05:58:48,039 - mmseg - INFO - Iter [124400/160000] lr: 2.344e-06, eta: 2:19:36, time: 0.195, data_time: 0.007, memory: 52540, decode.loss_ce: 0.2001, decode.acc_seg: 92.0224, loss: 0.2001 +2023-03-05 05:58:57,609 - mmseg - INFO - Iter [124450/160000] lr: 2.344e-06, eta: 2:19:24, time: 0.191, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1868, decode.acc_seg: 92.2833, loss: 0.1868 +2023-03-05 05:59:07,113 - mmseg - INFO - Iter [124500/160000] lr: 2.344e-06, eta: 2:19:11, time: 0.190, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1786, decode.acc_seg: 92.5461, loss: 0.1786 +2023-03-05 05:59:17,184 - mmseg - INFO - Iter [124550/160000] lr: 2.344e-06, eta: 2:18:59, time: 0.201, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1767, decode.acc_seg: 92.7041, loss: 0.1767 +2023-03-05 05:59:26,880 - mmseg - INFO - Iter [124600/160000] lr: 2.344e-06, eta: 2:18:47, time: 0.194, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1837, decode.acc_seg: 92.5399, loss: 0.1837 +2023-03-05 05:59:36,307 - mmseg - INFO - Iter [124650/160000] lr: 2.344e-06, eta: 2:18:34, time: 0.189, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1810, decode.acc_seg: 92.5682, loss: 0.1810 +2023-03-05 05:59:46,076 - mmseg - INFO - Iter [124700/160000] lr: 2.344e-06, eta: 2:18:22, time: 0.195, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1803, decode.acc_seg: 92.7019, loss: 0.1803 +2023-03-05 05:59:55,728 - mmseg - INFO - Iter [124750/160000] lr: 2.344e-06, eta: 2:18:10, time: 0.193, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1857, decode.acc_seg: 92.4167, loss: 0.1857 +2023-03-05 06:00:05,272 - mmseg - INFO - Iter [124800/160000] lr: 2.344e-06, eta: 2:17:57, time: 0.191, data_time: 0.008, memory: 52540, decode.loss_ce: 0.1828, decode.acc_seg: 92.6488, loss: 0.1828 +2023-03-05 06:00:14,923 - mmseg - INFO - Iter [124850/160000] lr: 2.344e-06, eta: 2:17:45, time: 0.193, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1856, decode.acc_seg: 92.4134, loss: 0.1856 +2023-03-05 06:00:24,796 - mmseg - INFO - Iter [124900/160000] lr: 2.344e-06, eta: 2:17:33, time: 0.198, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1769, decode.acc_seg: 92.6967, loss: 0.1769 +2023-03-05 06:00:36,938 - mmseg - INFO - Iter [124950/160000] lr: 2.344e-06, eta: 2:17:21, time: 0.243, data_time: 0.053, memory: 52540, decode.loss_ce: 0.1844, decode.acc_seg: 92.3581, loss: 0.1844 +2023-03-05 06:00:46,654 - mmseg - INFO - Exp name: ablation_segformer_mit_b2_segformer_head_unet_fc_small_multi_step_ade_pretrained_freeze_embed_160k_ade20k151_mask_finetune_maskonly.py +2023-03-05 06:00:46,654 - mmseg - INFO - Iter [125000/160000] lr: 2.344e-06, eta: 2:17:09, time: 0.194, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1795, decode.acc_seg: 92.6532, loss: 0.1795 +2023-03-05 06:00:56,094 - mmseg - INFO - Iter [125050/160000] lr: 2.344e-06, eta: 2:16:56, time: 0.189, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1839, decode.acc_seg: 92.3093, loss: 0.1839 +2023-03-05 06:01:05,818 - mmseg - INFO - Iter [125100/160000] lr: 2.344e-06, eta: 2:16:44, time: 0.194, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1843, decode.acc_seg: 92.4797, loss: 0.1843 +2023-03-05 06:01:15,348 - mmseg - INFO - Iter [125150/160000] lr: 2.344e-06, eta: 2:16:32, time: 0.191, data_time: 0.008, memory: 52540, decode.loss_ce: 0.1818, decode.acc_seg: 92.4658, loss: 0.1818 +2023-03-05 06:01:24,809 - mmseg - INFO - Iter [125200/160000] lr: 2.344e-06, eta: 2:16:19, time: 0.189, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1850, decode.acc_seg: 92.3422, loss: 0.1850 +2023-03-05 06:01:34,392 - mmseg - INFO - Iter [125250/160000] lr: 2.344e-06, eta: 2:16:07, time: 0.192, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1884, decode.acc_seg: 92.1522, loss: 0.1884 +2023-03-05 06:01:43,971 - mmseg - INFO - Iter [125300/160000] lr: 2.344e-06, eta: 2:15:54, time: 0.192, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1797, decode.acc_seg: 92.5362, loss: 0.1797 +2023-03-05 06:01:53,652 - mmseg - INFO - Iter [125350/160000] lr: 2.344e-06, eta: 2:15:42, time: 0.194, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1897, decode.acc_seg: 92.3409, loss: 0.1897 +2023-03-05 06:02:03,086 - mmseg - INFO - Iter [125400/160000] lr: 2.344e-06, eta: 2:15:30, time: 0.189, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1880, decode.acc_seg: 92.4321, loss: 0.1880 +2023-03-05 06:02:13,068 - mmseg - INFO - Iter [125450/160000] lr: 2.344e-06, eta: 2:15:17, time: 0.199, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1729, decode.acc_seg: 92.8178, loss: 0.1729 +2023-03-05 06:02:22,646 - mmseg - INFO - Iter [125500/160000] lr: 2.344e-06, eta: 2:15:05, time: 0.192, data_time: 0.008, memory: 52540, decode.loss_ce: 0.1794, decode.acc_seg: 92.6640, loss: 0.1794 +2023-03-05 06:02:32,315 - mmseg - INFO - Iter [125550/160000] lr: 2.344e-06, eta: 2:14:53, time: 0.193, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1838, decode.acc_seg: 92.4388, loss: 0.1838 +2023-03-05 06:02:44,721 - mmseg - INFO - Iter [125600/160000] lr: 2.344e-06, eta: 2:14:41, time: 0.248, data_time: 0.058, memory: 52540, decode.loss_ce: 0.1833, decode.acc_seg: 92.5124, loss: 0.1833 +2023-03-05 06:02:54,268 - mmseg - INFO - Iter [125650/160000] lr: 2.344e-06, eta: 2:14:29, time: 0.191, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1848, decode.acc_seg: 92.3707, loss: 0.1848 +2023-03-05 06:03:03,831 - mmseg - INFO - Iter [125700/160000] lr: 2.344e-06, eta: 2:14:17, time: 0.191, data_time: 0.008, memory: 52540, decode.loss_ce: 0.1802, decode.acc_seg: 92.6942, loss: 0.1802 +2023-03-05 06:03:13,336 - mmseg - INFO - Iter [125750/160000] lr: 2.344e-06, eta: 2:14:04, time: 0.190, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1859, decode.acc_seg: 92.3391, loss: 0.1859 +2023-03-05 06:03:23,399 - mmseg - INFO - Iter [125800/160000] lr: 2.344e-06, eta: 2:13:52, time: 0.201, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1828, decode.acc_seg: 92.4916, loss: 0.1828 +2023-03-05 06:03:32,863 - mmseg - INFO - Iter [125850/160000] lr: 2.344e-06, eta: 2:13:40, time: 0.189, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1782, decode.acc_seg: 92.6796, loss: 0.1782 +2023-03-05 06:03:42,433 - mmseg - INFO - Iter [125900/160000] lr: 2.344e-06, eta: 2:13:27, time: 0.191, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1776, decode.acc_seg: 92.7588, loss: 0.1776 +2023-03-05 06:03:52,325 - mmseg - INFO - Iter [125950/160000] lr: 2.344e-06, eta: 2:13:15, time: 0.198, data_time: 0.008, memory: 52540, decode.loss_ce: 0.1828, decode.acc_seg: 92.4820, loss: 0.1828 +2023-03-05 06:04:01,889 - mmseg - INFO - Exp name: ablation_segformer_mit_b2_segformer_head_unet_fc_small_multi_step_ade_pretrained_freeze_embed_160k_ade20k151_mask_finetune_maskonly.py +2023-03-05 06:04:01,889 - mmseg - INFO - Iter [126000/160000] lr: 2.344e-06, eta: 2:13:03, time: 0.191, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1812, decode.acc_seg: 92.5463, loss: 0.1812 +2023-03-05 06:04:11,389 - mmseg - INFO - Iter [126050/160000] lr: 2.344e-06, eta: 2:12:50, time: 0.190, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1812, decode.acc_seg: 92.5604, loss: 0.1812 +2023-03-05 06:04:20,817 - mmseg - INFO - Iter [126100/160000] lr: 2.344e-06, eta: 2:12:38, time: 0.189, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1833, decode.acc_seg: 92.4458, loss: 0.1833 +2023-03-05 06:04:30,531 - mmseg - INFO - Iter [126150/160000] lr: 2.344e-06, eta: 2:12:26, time: 0.194, data_time: 0.008, memory: 52540, decode.loss_ce: 0.1824, decode.acc_seg: 92.4757, loss: 0.1824 +2023-03-05 06:04:40,157 - mmseg - INFO - Iter [126200/160000] lr: 2.344e-06, eta: 2:12:13, time: 0.192, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1856, decode.acc_seg: 92.4986, loss: 0.1856 +2023-03-05 06:04:52,211 - mmseg - INFO - Iter [126250/160000] lr: 2.344e-06, eta: 2:12:02, time: 0.241, data_time: 0.058, memory: 52540, decode.loss_ce: 0.1878, decode.acc_seg: 92.3812, loss: 0.1878 +2023-03-05 06:05:01,869 - mmseg - INFO - Iter [126300/160000] lr: 2.344e-06, eta: 2:11:50, time: 0.193, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1815, decode.acc_seg: 92.5581, loss: 0.1815 +2023-03-05 06:05:11,383 - mmseg - INFO - Iter [126350/160000] lr: 2.344e-06, eta: 2:11:37, time: 0.190, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1799, decode.acc_seg: 92.6185, loss: 0.1799 +2023-03-05 06:05:21,124 - mmseg - INFO - Iter [126400/160000] lr: 2.344e-06, eta: 2:11:25, time: 0.195, data_time: 0.008, memory: 52540, decode.loss_ce: 0.1848, decode.acc_seg: 92.4215, loss: 0.1848 +2023-03-05 06:05:30,730 - mmseg - INFO - Iter [126450/160000] lr: 2.344e-06, eta: 2:11:13, time: 0.192, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1845, decode.acc_seg: 92.4441, loss: 0.1845 +2023-03-05 06:05:40,171 - mmseg - INFO - Iter [126500/160000] lr: 2.344e-06, eta: 2:11:00, time: 0.189, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1886, decode.acc_seg: 92.3892, loss: 0.1886 +2023-03-05 06:05:49,866 - mmseg - INFO - Iter [126550/160000] lr: 2.344e-06, eta: 2:10:48, time: 0.194, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1805, decode.acc_seg: 92.5798, loss: 0.1805 +2023-03-05 06:05:59,452 - mmseg - INFO - Iter [126600/160000] lr: 2.344e-06, eta: 2:10:36, time: 0.192, data_time: 0.008, memory: 52540, decode.loss_ce: 0.1823, decode.acc_seg: 92.4334, loss: 0.1823 +2023-03-05 06:06:09,078 - mmseg - INFO - Iter [126650/160000] lr: 2.344e-06, eta: 2:10:23, time: 0.193, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1779, decode.acc_seg: 92.6636, loss: 0.1779 +2023-03-05 06:06:19,036 - mmseg - INFO - Iter [126700/160000] lr: 2.344e-06, eta: 2:10:11, time: 0.199, data_time: 0.008, memory: 52540, decode.loss_ce: 0.1817, decode.acc_seg: 92.5717, loss: 0.1817 +2023-03-05 06:06:29,242 - mmseg - INFO - Iter [126750/160000] lr: 2.344e-06, eta: 2:09:59, time: 0.204, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1833, decode.acc_seg: 92.5425, loss: 0.1833 +2023-03-05 06:06:38,784 - mmseg - INFO - Iter [126800/160000] lr: 2.344e-06, eta: 2:09:47, time: 0.191, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1828, decode.acc_seg: 92.5340, loss: 0.1828 +2023-03-05 06:06:50,951 - mmseg - INFO - Iter [126850/160000] lr: 2.344e-06, eta: 2:09:35, time: 0.243, data_time: 0.057, memory: 52540, decode.loss_ce: 0.1847, decode.acc_seg: 92.3097, loss: 0.1847 +2023-03-05 06:07:01,019 - mmseg - INFO - Iter [126900/160000] lr: 2.344e-06, eta: 2:09:23, time: 0.201, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1843, decode.acc_seg: 92.3976, loss: 0.1843 +2023-03-05 06:07:10,790 - mmseg - INFO - Iter [126950/160000] lr: 2.344e-06, eta: 2:09:11, time: 0.195, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1928, decode.acc_seg: 92.1690, loss: 0.1928 +2023-03-05 06:07:20,490 - mmseg - INFO - Exp name: ablation_segformer_mit_b2_segformer_head_unet_fc_small_multi_step_ade_pretrained_freeze_embed_160k_ade20k151_mask_finetune_maskonly.py +2023-03-05 06:07:20,491 - mmseg - INFO - Iter [127000/160000] lr: 2.344e-06, eta: 2:08:59, time: 0.194, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1807, decode.acc_seg: 92.6657, loss: 0.1807 +2023-03-05 06:07:30,104 - mmseg - INFO - Iter [127050/160000] lr: 2.344e-06, eta: 2:08:46, time: 0.192, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1817, decode.acc_seg: 92.5007, loss: 0.1817 +2023-03-05 06:07:39,651 - mmseg - INFO - Iter [127100/160000] lr: 2.344e-06, eta: 2:08:34, time: 0.191, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1808, decode.acc_seg: 92.3198, loss: 0.1808 +2023-03-05 06:07:49,105 - mmseg - INFO - Iter [127150/160000] lr: 2.344e-06, eta: 2:08:22, time: 0.189, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1840, decode.acc_seg: 92.4426, loss: 0.1840 +2023-03-05 06:07:58,851 - mmseg - INFO - Iter [127200/160000] lr: 2.344e-06, eta: 2:08:09, time: 0.195, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1852, decode.acc_seg: 92.4663, loss: 0.1852 +2023-03-05 06:08:08,405 - mmseg - INFO - Iter [127250/160000] lr: 2.344e-06, eta: 2:07:57, time: 0.191, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1792, decode.acc_seg: 92.5965, loss: 0.1792 +2023-03-05 06:08:18,071 - mmseg - INFO - Iter [127300/160000] lr: 2.344e-06, eta: 2:07:45, time: 0.193, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1777, decode.acc_seg: 92.8044, loss: 0.1777 +2023-03-05 06:08:27,577 - mmseg - INFO - Iter [127350/160000] lr: 2.344e-06, eta: 2:07:33, time: 0.190, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1850, decode.acc_seg: 92.3507, loss: 0.1850 +2023-03-05 06:08:37,373 - mmseg - INFO - Iter [127400/160000] lr: 2.344e-06, eta: 2:07:20, time: 0.196, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1753, decode.acc_seg: 92.7468, loss: 0.1753 +2023-03-05 06:08:47,069 - mmseg - INFO - Iter [127450/160000] lr: 2.344e-06, eta: 2:07:08, time: 0.194, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1842, decode.acc_seg: 92.5309, loss: 0.1842 +2023-03-05 06:08:59,399 - mmseg - INFO - Iter [127500/160000] lr: 2.344e-06, eta: 2:06:57, time: 0.247, data_time: 0.056, memory: 52540, decode.loss_ce: 0.1870, decode.acc_seg: 92.4042, loss: 0.1870 +2023-03-05 06:09:09,024 - mmseg - INFO - Iter [127550/160000] lr: 2.344e-06, eta: 2:06:44, time: 0.192, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1814, decode.acc_seg: 92.4684, loss: 0.1814 +2023-03-05 06:09:18,815 - mmseg - INFO - Iter [127600/160000] lr: 2.344e-06, eta: 2:06:32, time: 0.196, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1824, decode.acc_seg: 92.6199, loss: 0.1824 +2023-03-05 06:09:28,415 - mmseg - INFO - Iter [127650/160000] lr: 2.344e-06, eta: 2:06:20, time: 0.192, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1772, decode.acc_seg: 92.6348, loss: 0.1772 +2023-03-05 06:09:38,245 - mmseg - INFO - Iter [127700/160000] lr: 2.344e-06, eta: 2:06:08, time: 0.197, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1794, decode.acc_seg: 92.5931, loss: 0.1794 +2023-03-05 06:09:47,932 - mmseg - INFO - Iter [127750/160000] lr: 2.344e-06, eta: 2:05:55, time: 0.194, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1746, decode.acc_seg: 92.8445, loss: 0.1746 +2023-03-05 06:09:57,425 - mmseg - INFO - Iter [127800/160000] lr: 2.344e-06, eta: 2:05:43, time: 0.190, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1773, decode.acc_seg: 92.7598, loss: 0.1773 +2023-03-05 06:10:07,318 - mmseg - INFO - Iter [127850/160000] lr: 2.344e-06, eta: 2:05:31, time: 0.198, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1850, decode.acc_seg: 92.4494, loss: 0.1850 +2023-03-05 06:10:16,855 - mmseg - INFO - Iter [127900/160000] lr: 2.344e-06, eta: 2:05:19, time: 0.191, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1830, decode.acc_seg: 92.4961, loss: 0.1830 +2023-03-05 06:10:26,559 - mmseg - INFO - Iter [127950/160000] lr: 2.344e-06, eta: 2:05:07, time: 0.194, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1769, decode.acc_seg: 92.8106, loss: 0.1769 +2023-03-05 06:10:36,352 - mmseg - INFO - Swap parameters (after train) after iter [128000] +2023-03-05 06:10:36,365 - mmseg - INFO - Saving checkpoint at 128000 iterations +2023-03-05 06:10:37,566 - mmseg - INFO - Exp name: ablation_segformer_mit_b2_segformer_head_unet_fc_small_multi_step_ade_pretrained_freeze_embed_160k_ade20k151_mask_finetune_maskonly.py +2023-03-05 06:10:37,567 - mmseg - INFO - Iter [128000/160000] lr: 2.344e-06, eta: 2:04:55, time: 0.220, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1817, decode.acc_seg: 92.6480, loss: 0.1817 +2023-03-05 06:21:26,717 - mmseg - INFO - per class results: +2023-03-05 06:21:26,726 - mmseg - INFO - ++---------------------+-------------------------------------------------------------------+ +| Class | IoU 0,10,20,30,40,50,60,70,80,90,99 | ++---------------------+-------------------------------------------------------------------+ +| background | nan,nan,nan,nan,nan,nan,nan,nan,nan,nan,nan | +| wall | 77.23,77.46,77.49,77.49,77.49,77.5,77.5,77.5,77.5,77.5,77.51 | +| building | 81.78,81.79,81.8,81.79,81.79,81.79,81.8,81.79,81.79,81.79,81.8 | +| sky | 94.45,94.53,94.54,94.54,94.54,94.54,94.54,94.53,94.54,94.54,94.53 | +| floor | 81.58,81.81,81.83,81.82,81.82,81.82,81.82,81.82,81.82,81.82,81.81 | +| tree | 74.11,74.35,74.36,74.35,74.35,74.35,74.34,74.34,74.35,74.35,74.33 | +| ceiling | 85.03,85.4,85.41,85.4,85.41,85.41,85.41,85.41,85.41,85.41,85.45 | +| road | 82.05,82.11,82.1,82.11,82.11,82.11,82.11,82.12,82.12,82.12,82.1 | +| bed | 87.47,87.73,87.74,87.74,87.73,87.73,87.74,87.73,87.73,87.73,87.69 | +| windowpane | 60.59,60.84,60.83,60.81,60.81,60.83,60.82,60.83,60.84,60.83,60.91 | +| grass | 66.83,67.07,67.06,67.05,67.05,67.04,67.05,67.05,67.05,67.06,67.05 | +| cabinet | 59.95,60.67,60.64,60.62,60.62,60.64,60.65,60.66,60.68,60.69,60.63 | +| sidewalk | 64.16,64.12,64.14,64.12,64.13,64.12,64.13,64.14,64.13,64.13,64.06 | +| person | 79.67,79.85,79.85,79.86,79.86,79.88,79.87,79.88,79.89,79.88,79.85 | +| earth | 36.32,36.47,36.54,36.57,36.57,36.56,36.6,36.61,36.57,36.57,36.55 | +| door | 46.32,46.65,46.63,46.62,46.64,46.68,46.68,46.71,46.68,46.66,46.75 | +| table | 61.03,61.46,61.45,61.45,61.46,61.44,61.43,61.42,61.43,61.42,61.41 | +| mountain | 56.91,57.96,58.24,58.25,58.25,58.26,58.27,58.26,58.25,58.26,58.31 | +| plant | 49.51,49.67,49.72,49.76,49.75,49.74,49.73,49.73,49.73,49.74,49.75 | +| curtain | 73.47,74.07,74.12,74.2,74.19,74.19,74.18,74.18,74.17,74.19,74.29 | +| chair | 56.3,56.57,56.63,56.64,56.64,56.64,56.63,56.62,56.64,56.65,56.59 | +| car | 82.33,82.85,82.86,82.9,82.9,82.9,82.9,82.9,82.91,82.91,82.91 | +| water | 58.02,58.04,57.98,57.98,57.98,57.99,58.0,57.97,57.96,57.97,57.97 | +| painting | 70.57,70.1,70.08,70.05,70.05,70.06,70.05,70.07,70.04,70.05,70.0 | +| sofa | 64.23,64.93,64.99,65.0,64.99,64.98,64.98,64.99,64.99,64.98,64.86 | +| shelf | 43.7,43.91,43.93,43.95,43.92,43.92,43.9,43.92,43.93,43.93,43.81 | +| house | 43.36,43.24,43.3,43.26,43.26,43.31,43.32,43.24,43.14,43.17,43.42 | +| sea | 60.09,60.67,60.64,60.61,60.61,60.61,60.6,60.61,60.62,60.62,60.62 | +| mirror | 66.14,66.58,66.58,66.58,66.53,66.53,66.52,66.51,66.52,66.53,66.65 | +| rug | 63.57,64.51,64.59,64.6,64.58,64.6,64.58,64.57,64.59,64.59,64.59 | +| field | 30.44,30.64,30.68,30.7,30.71,30.71,30.72,30.71,30.69,30.69,30.72 | +| armchair | 36.86,37.49,37.54,37.58,37.56,37.57,37.55,37.55,37.56,37.58,37.57 | +| seat | 65.6,66.12,66.15,66.15,66.19,66.23,66.26,66.33,66.28,66.27,66.16 | +| fence | 40.93,40.55,40.55,40.55,40.56,40.59,40.54,40.52,40.55,40.55,40.61 | +| desk | 47.23,47.41,47.46,47.47,47.46,47.45,47.47,47.47,47.47,47.46,47.4 | +| rock | 37.15,37.16,37.12,37.11,37.11,37.15,37.14,37.12,37.13,37.17,37.14 | +| wardrobe | 56.18,56.89,56.91,56.93,56.95,56.94,56.96,56.95,56.98,56.95,56.94 | +| lamp | 62.18,62.83,62.81,62.84,62.81,62.83,62.84,62.82,62.85,62.85,62.83 | +| bathtub | 75.94,76.84,76.7,76.77,76.88,77.01,76.95,76.92,77.01,76.98,76.63 | +| railing | 33.21,33.31,33.34,33.32,33.33,33.31,33.33,33.39,33.36,33.29,33.42 | +| cushion | 56.93,57.8,57.78,57.76,57.8,57.79,57.78,57.77,57.78,57.79,57.88 | +| base | 18.82,21.52,21.53,21.51,21.5,21.54,21.52,21.51,21.55,21.53,21.18 | +| box | 23.86,24.31,24.37,24.36,24.35,24.37,24.36,24.34,24.33,24.34,24.4 | +| column | 46.65,47.17,47.27,47.31,47.31,47.29,47.29,47.29,47.31,47.31,47.38 | +| signboard | 37.85,37.71,37.76,37.73,37.74,37.75,37.74,37.72,37.77,37.74,37.94 | +| chest of drawers | 36.02,37.74,37.72,37.67,37.62,37.64,37.69,37.7,37.87,38.0,37.63 | +| counter | 31.03,31.42,31.4,31.33,31.36,31.33,31.36,31.36,31.36,31.35,31.33 | +| sand | 43.28,43.99,44.44,45.5,45.96,46.22,46.22,46.21,46.23,46.19,46.34 | +| sink | 67.87,68.2,68.18,68.15,68.12,68.07,68.07,68.09,68.09,68.1,68.22 | +| skyscraper | 53.96,49.21,49.07,49.03,49.06,49.1,49.04,49.07,49.03,49.01,48.85 | +| fireplace | 74.77,74.49,74.51,74.51,74.57,74.5,74.65,74.69,74.7,74.68,74.93 | +| refrigerator | 75.52,76.78,76.86,76.86,76.83,76.83,76.84,76.83,76.84,76.84,76.46 | +| grandstand | 53.43,53.99,53.69,53.74,53.73,53.75,53.68,53.7,53.67,53.68,53.86 | +| path | 21.31,21.96,22.0,21.96,21.99,21.97,21.97,21.97,21.99,21.98,21.9 | +| stairs | 33.58,32.04,31.98,31.95,31.96,31.97,31.9,31.95,31.88,31.88,31.97 | +| runway | 67.82,68.24,68.23,68.24,68.24,68.26,68.25,68.25,68.25,68.25,68.29 | +| case | 46.04,47.11,47.0,47.04,46.99,47.0,47.04,47.0,46.97,47.02,47.17 | +| pool table | 91.64,91.73,91.73,91.73,91.72,91.74,91.73,91.72,91.74,91.72,91.79 | +| pillow | 60.11,62.86,62.87,62.85,62.89,62.89,62.86,62.86,62.84,62.86,62.83 | +| screen door | 69.58,69.73,69.64,69.82,69.92,69.9,70.19,70.11,70.1,69.78,69.56 | +| stairway | 22.6,21.72,21.68,21.65,21.64,21.63,21.64,21.64,21.64,21.65,21.71 | +| river | 12.28,12.08,12.07,12.07,12.07,12.05,12.03,12.06,12.07,12.06,12.04 | +| bridge | 32.64,32.75,32.77,32.8,32.81,32.86,32.79,32.77,32.86,32.87,32.75 | +| bookcase | 47.78,47.82,47.83,47.81,47.79,47.81,47.81,47.85,47.81,47.76,47.9 | +| blind | 40.71,41.17,41.19,41.12,41.11,41.23,41.28,41.38,41.43,41.34,41.41 | +| coffee table | 53.47,52.85,52.83,52.82,52.83,52.74,52.76,52.76,52.77,52.76,52.58 | +| toilet | 83.47,83.41,83.41,83.43,83.41,83.41,83.42,83.42,83.4,83.42,83.35 | +| flower | 38.71,38.86,38.9,38.87,38.9,38.89,38.86,38.88,38.86,38.87,38.94 | +| book | 45.55,45.87,45.93,45.9,45.89,45.87,45.84,45.88,45.87,45.87,45.88 | +| hill | 16.44,17.2,17.17,17.16,17.16,17.19,17.18,17.2,17.17,17.16,17.55 | +| bench | 43.98,43.41,43.25,43.17,43.15,43.14,43.13,43.11,43.12,43.13,42.95 | +| countertop | 53.86,54.19,54.21,54.22,54.25,54.25,54.24,54.24,54.22,54.22,54.51 | +| stove | 72.21,72.26,72.29,72.37,72.33,72.29,72.25,72.26,72.31,72.26,72.24 | +| palm | 47.11,47.26,47.27,47.26,47.27,47.28,47.29,47.28,47.29,47.28,47.26 | +| kitchen island | 42.43,45.95,46.14,46.41,46.41,46.22,46.27,46.3,46.28,46.11,46.14 | +| computer | 59.63,59.44,59.44,59.4,59.44,59.45,59.48,59.48,59.47,59.51,59.41 | +| swivel chair | 43.94,44.44,44.51,44.58,44.59,44.61,44.6,44.59,44.64,44.61,44.75 | +| boat | 69.59,70.81,70.93,71.16,71.01,70.98,71.09,71.04,70.93,70.91,71.08 | +| bar | 24.21,24.5,24.48,24.49,24.49,24.5,24.49,24.49,24.48,24.49,24.43 | +| arcade machine | 68.72,73.83,73.96,74.12,74.09,74.28,74.15,74.04,73.92,73.94,73.24 | +| hovel | 33.57,31.45,31.42,31.38,31.4,31.42,31.34,31.34,31.31,31.34,31.15 | +| bus | 76.99,78.66,78.82,78.82,78.84,78.81,78.83,78.86,78.86,78.82,79.08 | +| towel | 62.47,63.6,63.47,63.46,63.5,63.5,63.48,63.47,63.47,63.49,63.57 | +| light | 55.29,55.85,55.8,55.81,55.78,55.84,55.8,55.76,55.75,55.84,55.94 | +| truck | 18.24,19.9,19.83,19.97,19.96,19.95,19.98,20.04,20.01,20.0,19.83 | +| tower | 7.09,7.04,6.97,6.97,6.95,6.95,6.93,6.94,6.95,6.93,7.34 | +| chandelier | 65.31,66.83,66.75,66.78,66.81,66.78,66.78,66.79,66.78,66.8,66.74 | +| awning | 21.63,23.53,23.5,23.45,23.39,23.44,23.4,23.45,23.46,23.46,23.63 | +| streetlight | 26.91,28.11,28.2,28.19,28.17,28.17,28.21,28.17,28.18,28.2,28.16 | +| booth | 41.56,43.44,43.51,43.53,43.5,43.46,43.47,43.48,43.49,43.51,43.53 | +| television receiver | 65.36,65.29,65.27,65.29,65.3,65.29,65.3,65.29,65.31,65.29,65.32 | +| airplane | 58.25,58.68,58.74,58.72,58.67,58.71,58.68,58.7,58.71,58.69,58.73 | +| dirt track | 18.15,20.18,20.2,20.3,20.29,20.28,20.25,20.24,20.24,20.2,20.19 | +| apparel | 35.86,35.51,35.47,35.51,35.51,35.46,35.5,35.47,35.51,35.48,35.77 | +| pole | 18.08,19.26,19.37,19.33,19.3,19.35,19.38,19.29,19.42,19.4,19.4 | +| land | 4.56,4.55,4.5,4.47,4.43,4.43,4.44,4.46,4.45,4.42,4.46 | +| bannister | 12.79,13.56,13.58,13.51,13.5,13.5,13.49,13.54,13.51,13.51,13.59 | +| escalator | 24.02,24.82,24.89,24.87,24.84,24.91,24.87,24.89,24.87,24.89,24.87 | +| ottoman | 40.78,40.76,40.71,40.72,40.76,40.71,40.79,40.72,40.8,40.73,40.42 | +| bottle | 35.96,36.75,36.67,36.65,36.68,36.7,36.72,36.7,36.67,36.71,36.7 | +| buffet | 36.65,38.44,38.65,38.6,38.49,38.49,38.38,38.31,38.17,38.3,38.52 | +| poster | 21.64,21.23,21.24,21.25,21.25,21.28,21.24,21.26,21.25,21.27,21.07 | +| stage | 13.86,14.27,14.29,14.27,14.28,14.27,14.28,14.3,14.29,14.3,14.34 | +| van | 37.33,38.37,38.42,38.52,38.59,38.61,38.61,38.62,38.65,38.64,38.68 | +| ship | 78.95,81.2,81.23,81.28,81.27,81.27,81.25,81.28,81.28,81.28,81.39 | +| fountain | 18.33,20.88,20.86,20.89,20.86,20.86,20.81,20.84,20.87,20.85,20.92 | +| conveyer belt | 85.58,85.58,85.52,85.54,85.55,85.58,85.63,85.54,85.55,85.56,85.62 | +| canopy | 26.24,25.39,25.42,25.45,25.43,25.43,25.43,25.42,25.4,25.41,25.14 | +| washer | 76.58,77.61,77.54,77.65,77.67,77.57,77.5,77.51,77.58,77.48,78.02 | +| plaything | 21.04,21.4,21.42,21.46,21.5,21.47,21.47,21.45,21.47,21.48,21.37 | +| swimming pool | 74.4,77.19,77.19,77.27,77.31,77.31,77.25,77.2,77.29,77.3,77.19 | +| stool | 44.06,44.81,44.78,44.76,44.78,44.77,44.8,44.8,44.72,44.74,44.74 | +| barrel | 47.16,49.14,49.26,49.34,49.32,49.27,49.11,49.26,49.32,49.18,53.52 | +| basket | 25.34,25.68,25.56,25.56,25.52,25.5,25.54,25.52,25.55,25.57,25.8 | +| waterfall | 50.07,49.11,49.08,49.11,49.12,49.08,49.05,49.1,49.11,49.09,48.61 | +| tent | 95.1,95.05,95.05,95.06,95.03,95.04,95.04,95.05,95.04,95.04,94.99 | +| bag | 15.04,15.43,15.48,15.47,15.48,15.49,15.5,15.47,15.47,15.47,15.47 | +| minibike | 63.02,63.13,63.18,63.12,63.15,63.13,63.13,63.13,63.15,63.16,63.12 | +| cradle | 85.26,85.93,85.88,85.85,85.86,85.88,85.86,85.86,85.84,85.86,85.9 | +| oven | 44.49,46.34,46.42,46.39,46.44,46.41,46.46,46.46,46.48,46.4,46.07 | +| ball | 41.18,43.05,43.09,43.17,43.26,43.21,43.16,43.18,43.14,43.18,43.32 | +| food | 53.45,53.94,54.03,54.0,54.11,54.1,54.05,54.0,53.99,54.06,54.09 | +| step | 6.93,6.76,6.7,6.69,6.68,6.73,6.71,6.71,6.69,6.69,6.73 | +| tank | 50.82,50.32,50.09,50.17,50.31,50.65,50.56,50.36,50.28,50.2,50.03 | +| trade name | 27.08,27.47,27.51,27.52,27.54,27.59,27.48,27.54,27.53,27.53,27.5 | +| microwave | 70.2,71.75,71.78,71.77,71.75,71.76,71.82,71.83,71.84,71.85,71.91 | +| pot | 31.07,31.09,31.05,31.09,31.07,31.0,31.05,31.04,31.06,31.09,31.08 | +| animal | 53.71,53.83,53.86,53.81,53.8,53.82,53.8,53.81,53.8,53.81,53.81 | +| bicycle | 53.38,54.53,54.43,54.46,54.51,54.52,54.54,54.56,54.53,54.52,54.78 | +| lake | 57.92,57.93,57.96,57.97,57.98,57.96,57.96,57.98,57.96,57.96,57.98 | +| dishwasher | 67.3,67.45,67.41,67.42,67.46,67.36,67.38,67.45,67.42,67.39,67.73 | +| screen | 67.63,64.44,64.4,64.45,64.43,64.4,64.37,64.33,64.46,64.38,64.6 | +| blanket | 19.77,21.05,21.08,20.98,20.93,20.98,21.01,21.03,20.97,21.02,21.18 | +| sculpture | 56.84,57.08,56.98,57.0,56.94,56.88,56.94,57.01,57.04,56.87,56.91 | +| hood | 60.39,60.34,60.11,60.16,60.17,60.1,60.17,60.15,60.2,60.14,60.2 | +| sconce | 42.81,43.24,43.19,43.15,43.16,43.14,43.19,43.12,43.11,43.11,43.26 | +| vase | 37.22,38.67,38.78,38.64,38.64,38.59,38.6,38.65,38.67,38.67,38.49 | +| traffic light | 33.81,33.47,33.53,33.47,33.44,33.43,33.45,33.43,33.42,33.44,33.48 | +| tray | 8.51,8.21,8.19,8.2,8.21,8.19,8.12,8.1,8.13,8.12,8.04 | +| ashcan | 41.58,41.17,41.17,41.13,41.12,41.13,41.1,41.21,41.12,41.15,40.73 | +| fan | 57.62,58.44,58.34,58.36,58.3,58.35,58.25,58.27,58.34,58.27,58.49 | +| pier | 48.14,45.59,46.31,45.94,45.4,46.57,47.02,45.89,45.13,46.52,44.92 | +| crt screen | 9.24,12.73,12.83,12.84,12.9,12.94,12.89,12.84,12.87,12.94,12.98 | +| plate | 52.21,53.04,53.05,53.06,53.06,53.06,53.04,53.05,53.07,53.1,53.09 | +| monitor | 35.73,41.46,41.46,41.52,41.96,42.41,41.72,41.55,41.85,42.08,42.84 | +| bulletin board | 37.4,38.85,38.8,38.66,38.86,38.7,38.81,38.8,38.82,38.87,38.98 | +| shower | 2.02,2.22,2.18,2.19,2.21,2.14,2.22,2.19,2.15,2.2,2.19 | +| radiator | 63.68,66.05,65.83,65.76,65.7,65.97,66.05,66.03,66.01,66.04,65.71 | +| glass | 13.63,13.3,13.31,13.26,13.25,13.22,13.23,13.25,13.19,13.22,13.28 | +| clock | 38.07,37.74,37.59,37.61,37.59,37.68,37.52,37.59,37.63,37.54,37.95 | +| flag | 36.07,35.99,36.01,36.02,36.0,36.0,36.01,35.95,35.98,36.0,35.97 | ++---------------------+-------------------------------------------------------------------+ +2023-03-05 06:21:26,726 - mmseg - INFO - Summary: +2023-03-05 06:21:26,727 - mmseg - INFO - ++------------------------------------------------------------------+ +| mIoU 0,10,20,30,40,50,60,70,80,90,99 | ++------------------------------------------------------------------+ +| 48.67,49.18,49.19,49.2,49.21,49.22,49.22,49.21,49.21,49.21,49.25 | ++------------------------------------------------------------------+ +2023-03-05 06:21:26,761 - mmseg - INFO - The previous best checkpoint /mnt/petrelfs/laizeqiang/mmseg-baseline/work_dirs2/ablation_segformer_mit_b2_segformer_head_unet_fc_small_multi_step_ade_pretrained_freeze_embed_160k_ade20k151_mask_finetune_maskonly/best_mIoU_iter_112000.pth was removed +2023-03-05 06:21:27,835 - mmseg - INFO - Now best checkpoint is saved as best_mIoU_iter_128000.pth. +2023-03-05 06:21:27,836 - mmseg - INFO - Best mIoU is 0.4925 at 128000 iter. +2023-03-05 06:21:27,836 - mmseg - INFO - Exp name: ablation_segformer_mit_b2_segformer_head_unet_fc_small_multi_step_ade_pretrained_freeze_embed_160k_ade20k151_mask_finetune_maskonly.py +2023-03-05 06:21:27,836 - mmseg - INFO - Iter(val) [250] mIoU: [0.4867, 0.4918, 0.4919, 0.492, 0.4921, 0.4922, 0.4922, 0.4921, 0.4921, 0.4921, 0.4925], copy_paste: 48.67,49.18,49.19,49.2,49.21,49.22,49.22,49.21,49.21,49.21,49.25 +2023-03-05 06:21:27,842 - mmseg - INFO - Swap parameters (before train) before iter [128001] +2023-03-05 06:21:37,775 - mmseg - INFO - Iter [128050/160000] lr: 2.344e-06, eta: 2:07:25, time: 13.204, data_time: 13.013, memory: 52540, decode.loss_ce: 0.1807, decode.acc_seg: 92.5839, loss: 0.1807 +2023-03-05 06:21:50,368 - mmseg - INFO - Iter [128100/160000] lr: 2.344e-06, eta: 2:07:13, time: 0.252, data_time: 0.055, memory: 52540, decode.loss_ce: 0.1842, decode.acc_seg: 92.3922, loss: 0.1842 +2023-03-05 06:21:59,989 - mmseg - INFO - Iter [128150/160000] lr: 2.344e-06, eta: 2:07:00, time: 0.192, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1841, decode.acc_seg: 92.4482, loss: 0.1841 +2023-03-05 06:22:09,620 - mmseg - INFO - Iter [128200/160000] lr: 2.344e-06, eta: 2:06:48, time: 0.193, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1842, decode.acc_seg: 92.2674, loss: 0.1842 +2023-03-05 06:22:19,146 - mmseg - INFO - Iter [128250/160000] lr: 2.344e-06, eta: 2:06:35, time: 0.191, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1804, decode.acc_seg: 92.6807, loss: 0.1804 +2023-03-05 06:22:28,916 - mmseg - INFO - Iter [128300/160000] lr: 2.344e-06, eta: 2:06:23, time: 0.195, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1808, decode.acc_seg: 92.6405, loss: 0.1808 +2023-03-05 06:22:38,457 - mmseg - INFO - Iter [128350/160000] lr: 2.344e-06, eta: 2:06:10, time: 0.191, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1826, decode.acc_seg: 92.4213, loss: 0.1826 +2023-03-05 06:22:48,044 - mmseg - INFO - Iter [128400/160000] lr: 2.344e-06, eta: 2:05:58, time: 0.192, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1878, decode.acc_seg: 92.2861, loss: 0.1878 +2023-03-05 06:22:57,765 - mmseg - INFO - Iter [128450/160000] lr: 2.344e-06, eta: 2:05:45, time: 0.194, data_time: 0.008, memory: 52540, decode.loss_ce: 0.1916, decode.acc_seg: 92.3552, loss: 0.1916 +2023-03-05 06:23:07,346 - mmseg - INFO - Iter [128500/160000] lr: 2.344e-06, eta: 2:05:33, time: 0.192, data_time: 0.008, memory: 52540, decode.loss_ce: 0.1874, decode.acc_seg: 92.2728, loss: 0.1874 +2023-03-05 06:23:16,855 - mmseg - INFO - Iter [128550/160000] lr: 2.344e-06, eta: 2:05:20, time: 0.190, data_time: 0.008, memory: 52540, decode.loss_ce: 0.1869, decode.acc_seg: 92.4305, loss: 0.1869 +2023-03-05 06:23:26,506 - mmseg - INFO - Iter [128600/160000] lr: 2.344e-06, eta: 2:05:08, time: 0.193, data_time: 0.008, memory: 52540, decode.loss_ce: 0.1874, decode.acc_seg: 92.4809, loss: 0.1874 +2023-03-05 06:23:36,042 - mmseg - INFO - Iter [128650/160000] lr: 2.344e-06, eta: 2:04:55, time: 0.191, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1855, decode.acc_seg: 92.2468, loss: 0.1855 +2023-03-05 06:23:45,656 - mmseg - INFO - Iter [128700/160000] lr: 2.344e-06, eta: 2:04:42, time: 0.192, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1821, decode.acc_seg: 92.5931, loss: 0.1821 +2023-03-05 06:23:57,868 - mmseg - INFO - Iter [128750/160000] lr: 2.344e-06, eta: 2:04:31, time: 0.244, data_time: 0.056, memory: 52540, decode.loss_ce: 0.1803, decode.acc_seg: 92.6381, loss: 0.1803 +2023-03-05 06:24:07,572 - mmseg - INFO - Iter [128800/160000] lr: 2.344e-06, eta: 2:04:18, time: 0.194, data_time: 0.008, memory: 52540, decode.loss_ce: 0.1850, decode.acc_seg: 92.3593, loss: 0.1850 +2023-03-05 06:24:17,176 - mmseg - INFO - Iter [128850/160000] lr: 2.344e-06, eta: 2:04:06, time: 0.192, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1756, decode.acc_seg: 92.8047, loss: 0.1756 +2023-03-05 06:24:26,700 - mmseg - INFO - Iter [128900/160000] lr: 2.344e-06, eta: 2:03:53, time: 0.190, data_time: 0.008, memory: 52540, decode.loss_ce: 0.1761, decode.acc_seg: 92.7275, loss: 0.1761 +2023-03-05 06:24:36,139 - mmseg - INFO - Iter [128950/160000] lr: 2.344e-06, eta: 2:03:40, time: 0.189, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1860, decode.acc_seg: 92.3497, loss: 0.1860 +2023-03-05 06:24:45,812 - mmseg - INFO - Exp name: ablation_segformer_mit_b2_segformer_head_unet_fc_small_multi_step_ade_pretrained_freeze_embed_160k_ade20k151_mask_finetune_maskonly.py +2023-03-05 06:24:45,813 - mmseg - INFO - Iter [129000/160000] lr: 2.344e-06, eta: 2:03:28, time: 0.193, data_time: 0.008, memory: 52540, decode.loss_ce: 0.1803, decode.acc_seg: 92.5141, loss: 0.1803 +2023-03-05 06:24:55,566 - mmseg - INFO - Iter [129050/160000] lr: 2.344e-06, eta: 2:03:16, time: 0.195, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1833, decode.acc_seg: 92.3920, loss: 0.1833 +2023-03-05 06:25:05,293 - mmseg - INFO - Iter [129100/160000] lr: 2.344e-06, eta: 2:03:03, time: 0.195, data_time: 0.008, memory: 52540, decode.loss_ce: 0.1896, decode.acc_seg: 92.2297, loss: 0.1896 +2023-03-05 06:25:15,402 - mmseg - INFO - Iter [129150/160000] lr: 2.344e-06, eta: 2:02:51, time: 0.202, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1904, decode.acc_seg: 92.2130, loss: 0.1904 +2023-03-05 06:25:25,254 - mmseg - INFO - Iter [129200/160000] lr: 2.344e-06, eta: 2:02:38, time: 0.197, data_time: 0.008, memory: 52540, decode.loss_ce: 0.1772, decode.acc_seg: 92.6877, loss: 0.1772 +2023-03-05 06:25:34,724 - mmseg - INFO - Iter [129250/160000] lr: 2.344e-06, eta: 2:02:26, time: 0.189, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1848, decode.acc_seg: 92.4877, loss: 0.1848 +2023-03-05 06:25:44,722 - mmseg - INFO - Iter [129300/160000] lr: 2.344e-06, eta: 2:02:13, time: 0.200, data_time: 0.008, memory: 52540, decode.loss_ce: 0.1904, decode.acc_seg: 92.1709, loss: 0.1904 +2023-03-05 06:25:54,410 - mmseg - INFO - Iter [129350/160000] lr: 2.344e-06, eta: 2:02:01, time: 0.194, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1857, decode.acc_seg: 92.4094, loss: 0.1857 +2023-03-05 06:26:06,565 - mmseg - INFO - Iter [129400/160000] lr: 2.344e-06, eta: 2:01:49, time: 0.243, data_time: 0.054, memory: 52540, decode.loss_ce: 0.1856, decode.acc_seg: 92.4244, loss: 0.1856 +2023-03-05 06:26:16,138 - mmseg - INFO - Iter [129450/160000] lr: 2.344e-06, eta: 2:01:36, time: 0.191, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1866, decode.acc_seg: 92.3243, loss: 0.1866 +2023-03-05 06:26:25,799 - mmseg - INFO - Iter [129500/160000] lr: 2.344e-06, eta: 2:01:24, time: 0.193, data_time: 0.008, memory: 52540, decode.loss_ce: 0.1825, decode.acc_seg: 92.4907, loss: 0.1825 +2023-03-05 06:26:35,320 - mmseg - INFO - Iter [129550/160000] lr: 2.344e-06, eta: 2:01:11, time: 0.190, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1757, decode.acc_seg: 92.6953, loss: 0.1757 +2023-03-05 06:26:45,158 - mmseg - INFO - Iter [129600/160000] lr: 2.344e-06, eta: 2:00:59, time: 0.197, data_time: 0.008, memory: 52540, decode.loss_ce: 0.1817, decode.acc_seg: 92.6915, loss: 0.1817 +2023-03-05 06:26:54,924 - mmseg - INFO - Iter [129650/160000] lr: 2.344e-06, eta: 2:00:47, time: 0.195, data_time: 0.008, memory: 52540, decode.loss_ce: 0.1839, decode.acc_seg: 92.4317, loss: 0.1839 +2023-03-05 06:27:04,511 - mmseg - INFO - Iter [129700/160000] lr: 2.344e-06, eta: 2:00:34, time: 0.192, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1840, decode.acc_seg: 92.5569, loss: 0.1840 +2023-03-05 06:27:14,445 - mmseg - INFO - Iter [129750/160000] lr: 2.344e-06, eta: 2:00:22, time: 0.199, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1786, decode.acc_seg: 92.5919, loss: 0.1786 +2023-03-05 06:27:23,879 - mmseg - INFO - Iter [129800/160000] lr: 2.344e-06, eta: 2:00:09, time: 0.189, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1780, decode.acc_seg: 92.6118, loss: 0.1780 +2023-03-05 06:27:33,491 - mmseg - INFO - Iter [129850/160000] lr: 2.344e-06, eta: 1:59:57, time: 0.192, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1846, decode.acc_seg: 92.5179, loss: 0.1846 +2023-03-05 06:27:42,973 - mmseg - INFO - Iter [129900/160000] lr: 2.344e-06, eta: 1:59:44, time: 0.190, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1846, decode.acc_seg: 92.3936, loss: 0.1846 +2023-03-05 06:27:52,423 - mmseg - INFO - Iter [129950/160000] lr: 2.344e-06, eta: 1:59:32, time: 0.189, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1939, decode.acc_seg: 92.1134, loss: 0.1939 +2023-03-05 06:28:04,415 - mmseg - INFO - Exp name: ablation_segformer_mit_b2_segformer_head_unet_fc_small_multi_step_ade_pretrained_freeze_embed_160k_ade20k151_mask_finetune_maskonly.py +2023-03-05 06:28:04,416 - mmseg - INFO - Iter [130000/160000] lr: 2.344e-06, eta: 1:59:20, time: 0.240, data_time: 0.054, memory: 52540, decode.loss_ce: 0.1937, decode.acc_seg: 92.3758, loss: 0.1937 +2023-03-05 06:28:13,856 - mmseg - INFO - Iter [130050/160000] lr: 2.344e-06, eta: 1:59:07, time: 0.189, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1805, decode.acc_seg: 92.5881, loss: 0.1805 +2023-03-05 06:28:23,588 - mmseg - INFO - Iter [130100/160000] lr: 2.344e-06, eta: 1:58:55, time: 0.195, data_time: 0.008, memory: 52540, decode.loss_ce: 0.1814, decode.acc_seg: 92.5486, loss: 0.1814 +2023-03-05 06:28:33,281 - mmseg - INFO - Iter [130150/160000] lr: 2.344e-06, eta: 1:58:42, time: 0.194, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1796, decode.acc_seg: 92.6610, loss: 0.1796 +2023-03-05 06:28:42,753 - mmseg - INFO - Iter [130200/160000] lr: 2.344e-06, eta: 1:58:30, time: 0.190, data_time: 0.008, memory: 52540, decode.loss_ce: 0.1895, decode.acc_seg: 92.2574, loss: 0.1895 +2023-03-05 06:28:52,357 - mmseg - INFO - Iter [130250/160000] lr: 2.344e-06, eta: 1:58:17, time: 0.192, data_time: 0.008, memory: 52540, decode.loss_ce: 0.1754, decode.acc_seg: 92.7938, loss: 0.1754 +2023-03-05 06:29:02,319 - mmseg - INFO - Iter [130300/160000] lr: 2.344e-06, eta: 1:58:05, time: 0.199, data_time: 0.008, memory: 52540, decode.loss_ce: 0.1834, decode.acc_seg: 92.4225, loss: 0.1834 +2023-03-05 06:29:11,983 - mmseg - INFO - Iter [130350/160000] lr: 2.344e-06, eta: 1:57:53, time: 0.193, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1840, decode.acc_seg: 92.4412, loss: 0.1840 +2023-03-05 06:29:21,539 - mmseg - INFO - Iter [130400/160000] lr: 2.344e-06, eta: 1:57:40, time: 0.191, data_time: 0.008, memory: 52540, decode.loss_ce: 0.1821, decode.acc_seg: 92.4622, loss: 0.1821 +2023-03-05 06:29:31,224 - mmseg - INFO - Iter [130450/160000] lr: 2.344e-06, eta: 1:57:28, time: 0.194, data_time: 0.008, memory: 52540, decode.loss_ce: 0.1892, decode.acc_seg: 92.3510, loss: 0.1892 +2023-03-05 06:29:40,773 - mmseg - INFO - Iter [130500/160000] lr: 2.344e-06, eta: 1:57:15, time: 0.191, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1850, decode.acc_seg: 92.4865, loss: 0.1850 +2023-03-05 06:29:50,533 - mmseg - INFO - Iter [130550/160000] lr: 2.344e-06, eta: 1:57:03, time: 0.195, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1862, decode.acc_seg: 92.3673, loss: 0.1862 +2023-03-05 06:30:00,437 - mmseg - INFO - Iter [130600/160000] lr: 2.344e-06, eta: 1:56:50, time: 0.198, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1793, decode.acc_seg: 92.6337, loss: 0.1793 +2023-03-05 06:30:12,836 - mmseg - INFO - Iter [130650/160000] lr: 2.344e-06, eta: 1:56:39, time: 0.248, data_time: 0.055, memory: 52540, decode.loss_ce: 0.1829, decode.acc_seg: 92.3999, loss: 0.1829 +2023-03-05 06:30:22,563 - mmseg - INFO - Iter [130700/160000] lr: 2.344e-06, eta: 1:56:26, time: 0.195, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1823, decode.acc_seg: 92.4758, loss: 0.1823 +2023-03-05 06:30:32,542 - mmseg - INFO - Iter [130750/160000] lr: 2.344e-06, eta: 1:56:14, time: 0.200, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1813, decode.acc_seg: 92.5218, loss: 0.1813 +2023-03-05 06:30:42,037 - mmseg - INFO - Iter [130800/160000] lr: 2.344e-06, eta: 1:56:01, time: 0.190, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1843, decode.acc_seg: 92.5322, loss: 0.1843 +2023-03-05 06:30:51,752 - mmseg - INFO - Iter [130850/160000] lr: 2.344e-06, eta: 1:55:49, time: 0.194, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1856, decode.acc_seg: 92.3109, loss: 0.1856 +2023-03-05 06:31:01,277 - mmseg - INFO - Iter [130900/160000] lr: 2.344e-06, eta: 1:55:36, time: 0.191, data_time: 0.008, memory: 52540, decode.loss_ce: 0.1747, decode.acc_seg: 92.8856, loss: 0.1747 +2023-03-05 06:31:10,989 - mmseg - INFO - Iter [130950/160000] lr: 2.344e-06, eta: 1:55:24, time: 0.194, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1939, decode.acc_seg: 92.0585, loss: 0.1939 +2023-03-05 06:31:20,911 - mmseg - INFO - Exp name: ablation_segformer_mit_b2_segformer_head_unet_fc_small_multi_step_ade_pretrained_freeze_embed_160k_ade20k151_mask_finetune_maskonly.py +2023-03-05 06:31:20,912 - mmseg - INFO - Iter [131000/160000] lr: 2.344e-06, eta: 1:55:12, time: 0.198, data_time: 0.008, memory: 52540, decode.loss_ce: 0.1909, decode.acc_seg: 92.2197, loss: 0.1909 +2023-03-05 06:31:30,581 - mmseg - INFO - Iter [131050/160000] lr: 2.344e-06, eta: 1:54:59, time: 0.193, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1817, decode.acc_seg: 92.5731, loss: 0.1817 +2023-03-05 06:31:40,321 - mmseg - INFO - Iter [131100/160000] lr: 2.344e-06, eta: 1:54:47, time: 0.195, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1828, decode.acc_seg: 92.4199, loss: 0.1828 +2023-03-05 06:31:49,815 - mmseg - INFO - Iter [131150/160000] lr: 2.344e-06, eta: 1:54:34, time: 0.190, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1855, decode.acc_seg: 92.5229, loss: 0.1855 +2023-03-05 06:31:59,471 - mmseg - INFO - Iter [131200/160000] lr: 2.344e-06, eta: 1:54:22, time: 0.193, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1828, decode.acc_seg: 92.5232, loss: 0.1828 +2023-03-05 06:32:11,946 - mmseg - INFO - Iter [131250/160000] lr: 2.344e-06, eta: 1:54:10, time: 0.249, data_time: 0.054, memory: 52540, decode.loss_ce: 0.1775, decode.acc_seg: 92.7334, loss: 0.1775 +2023-03-05 06:32:21,514 - mmseg - INFO - Iter [131300/160000] lr: 2.344e-06, eta: 1:53:58, time: 0.191, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1831, decode.acc_seg: 92.4753, loss: 0.1831 +2023-03-05 06:32:31,192 - mmseg - INFO - Iter [131350/160000] lr: 2.344e-06, eta: 1:53:45, time: 0.194, data_time: 0.008, memory: 52540, decode.loss_ce: 0.1822, decode.acc_seg: 92.4679, loss: 0.1822 +2023-03-05 06:32:40,818 - mmseg - INFO - Iter [131400/160000] lr: 2.344e-06, eta: 1:53:33, time: 0.193, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1764, decode.acc_seg: 92.5803, loss: 0.1764 +2023-03-05 06:32:50,328 - mmseg - INFO - Iter [131450/160000] lr: 2.344e-06, eta: 1:53:21, time: 0.190, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1756, decode.acc_seg: 92.6522, loss: 0.1756 +2023-03-05 06:32:59,933 - mmseg - INFO - Iter [131500/160000] lr: 2.344e-06, eta: 1:53:08, time: 0.192, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1778, decode.acc_seg: 92.7531, loss: 0.1778 +2023-03-05 06:33:09,824 - mmseg - INFO - Iter [131550/160000] lr: 2.344e-06, eta: 1:52:56, time: 0.198, data_time: 0.008, memory: 52540, decode.loss_ce: 0.1859, decode.acc_seg: 92.2675, loss: 0.1859 +2023-03-05 06:33:19,282 - mmseg - INFO - Iter [131600/160000] lr: 2.344e-06, eta: 1:52:43, time: 0.189, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1902, decode.acc_seg: 92.2812, loss: 0.1902 +2023-03-05 06:33:28,909 - mmseg - INFO - Iter [131650/160000] lr: 2.344e-06, eta: 1:52:31, time: 0.193, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1821, decode.acc_seg: 92.4781, loss: 0.1821 +2023-03-05 06:33:38,708 - mmseg - INFO - Iter [131700/160000] lr: 2.344e-06, eta: 1:52:19, time: 0.196, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1762, decode.acc_seg: 92.7923, loss: 0.1762 +2023-03-05 06:33:48,270 - mmseg - INFO - Iter [131750/160000] lr: 2.344e-06, eta: 1:52:06, time: 0.191, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1872, decode.acc_seg: 92.1694, loss: 0.1872 +2023-03-05 06:33:57,733 - mmseg - INFO - Iter [131800/160000] lr: 2.344e-06, eta: 1:51:54, time: 0.189, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1887, decode.acc_seg: 92.2522, loss: 0.1887 +2023-03-05 06:34:07,162 - mmseg - INFO - Iter [131850/160000] lr: 2.344e-06, eta: 1:51:41, time: 0.189, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1878, decode.acc_seg: 92.4792, loss: 0.1878 +2023-03-05 06:34:19,329 - mmseg - INFO - Iter [131900/160000] lr: 2.344e-06, eta: 1:51:29, time: 0.243, data_time: 0.057, memory: 52540, decode.loss_ce: 0.1840, decode.acc_seg: 92.3590, loss: 0.1840 +2023-03-05 06:34:28,814 - mmseg - INFO - Iter [131950/160000] lr: 2.344e-06, eta: 1:51:17, time: 0.190, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1832, decode.acc_seg: 92.4921, loss: 0.1832 +2023-03-05 06:34:38,500 - mmseg - INFO - Exp name: ablation_segformer_mit_b2_segformer_head_unet_fc_small_multi_step_ade_pretrained_freeze_embed_160k_ade20k151_mask_finetune_maskonly.py +2023-03-05 06:34:38,500 - mmseg - INFO - Iter [132000/160000] lr: 2.344e-06, eta: 1:51:05, time: 0.193, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1770, decode.acc_seg: 92.5920, loss: 0.1770 +2023-03-05 06:34:48,557 - mmseg - INFO - Iter [132050/160000] lr: 2.344e-06, eta: 1:50:52, time: 0.201, data_time: 0.008, memory: 52540, decode.loss_ce: 0.1782, decode.acc_seg: 92.6352, loss: 0.1782 +2023-03-05 06:34:58,355 - mmseg - INFO - Iter [132100/160000] lr: 2.344e-06, eta: 1:50:40, time: 0.196, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1761, decode.acc_seg: 92.7827, loss: 0.1761 +2023-03-05 06:35:07,931 - mmseg - INFO - Iter [132150/160000] lr: 2.344e-06, eta: 1:50:28, time: 0.192, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1826, decode.acc_seg: 92.5047, loss: 0.1826 +2023-03-05 06:35:17,604 - mmseg - INFO - Iter [132200/160000] lr: 2.344e-06, eta: 1:50:15, time: 0.193, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1839, decode.acc_seg: 92.4347, loss: 0.1839 +2023-03-05 06:35:27,324 - mmseg - INFO - Iter [132250/160000] lr: 2.344e-06, eta: 1:50:03, time: 0.194, data_time: 0.008, memory: 52540, decode.loss_ce: 0.1805, decode.acc_seg: 92.5217, loss: 0.1805 +2023-03-05 06:35:37,479 - mmseg - INFO - Iter [132300/160000] lr: 2.344e-06, eta: 1:49:51, time: 0.203, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1886, decode.acc_seg: 92.3433, loss: 0.1886 +2023-03-05 06:35:47,029 - mmseg - INFO - Iter [132350/160000] lr: 2.344e-06, eta: 1:49:38, time: 0.191, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1832, decode.acc_seg: 92.4988, loss: 0.1832 +2023-03-05 06:35:56,718 - mmseg - INFO - Iter [132400/160000] lr: 2.344e-06, eta: 1:49:26, time: 0.194, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1868, decode.acc_seg: 92.2921, loss: 0.1868 +2023-03-05 06:36:06,774 - mmseg - INFO - Iter [132450/160000] lr: 2.344e-06, eta: 1:49:14, time: 0.201, data_time: 0.008, memory: 52540, decode.loss_ce: 0.1822, decode.acc_seg: 92.4340, loss: 0.1822 +2023-03-05 06:36:16,504 - mmseg - INFO - Iter [132500/160000] lr: 2.344e-06, eta: 1:49:01, time: 0.195, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1872, decode.acc_seg: 92.3483, loss: 0.1872 +2023-03-05 06:36:28,577 - mmseg - INFO - Iter [132550/160000] lr: 2.344e-06, eta: 1:48:49, time: 0.241, data_time: 0.054, memory: 52540, decode.loss_ce: 0.1812, decode.acc_seg: 92.6177, loss: 0.1812 +2023-03-05 06:36:38,392 - mmseg - INFO - Iter [132600/160000] lr: 2.344e-06, eta: 1:48:37, time: 0.196, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1839, decode.acc_seg: 92.5154, loss: 0.1839 +2023-03-05 06:36:48,019 - mmseg - INFO - Iter [132650/160000] lr: 2.344e-06, eta: 1:48:25, time: 0.193, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1828, decode.acc_seg: 92.4515, loss: 0.1828 +2023-03-05 06:36:57,446 - mmseg - INFO - Iter [132700/160000] lr: 2.344e-06, eta: 1:48:12, time: 0.189, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1858, decode.acc_seg: 92.4286, loss: 0.1858 +2023-03-05 06:37:07,150 - mmseg - INFO - Iter [132750/160000] lr: 2.344e-06, eta: 1:48:00, time: 0.194, data_time: 0.008, memory: 52540, decode.loss_ce: 0.1826, decode.acc_seg: 92.5815, loss: 0.1826 +2023-03-05 06:37:16,864 - mmseg - INFO - Iter [132800/160000] lr: 2.344e-06, eta: 1:47:48, time: 0.194, data_time: 0.008, memory: 52540, decode.loss_ce: 0.1806, decode.acc_seg: 92.5625, loss: 0.1806 +2023-03-05 06:37:26,330 - mmseg - INFO - Iter [132850/160000] lr: 2.344e-06, eta: 1:47:35, time: 0.189, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1850, decode.acc_seg: 92.4072, loss: 0.1850 +2023-03-05 06:37:35,975 - mmseg - INFO - Iter [132900/160000] lr: 2.344e-06, eta: 1:47:23, time: 0.193, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1862, decode.acc_seg: 92.2643, loss: 0.1862 +2023-03-05 06:37:46,209 - mmseg - INFO - Iter [132950/160000] lr: 2.344e-06, eta: 1:47:11, time: 0.205, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1822, decode.acc_seg: 92.4951, loss: 0.1822 +2023-03-05 06:37:55,924 - mmseg - INFO - Exp name: ablation_segformer_mit_b2_segformer_head_unet_fc_small_multi_step_ade_pretrained_freeze_embed_160k_ade20k151_mask_finetune_maskonly.py +2023-03-05 06:37:55,925 - mmseg - INFO - Iter [133000/160000] lr: 2.344e-06, eta: 1:46:58, time: 0.195, data_time: 0.008, memory: 52540, decode.loss_ce: 0.1859, decode.acc_seg: 92.5652, loss: 0.1859 +2023-03-05 06:38:05,347 - mmseg - INFO - Iter [133050/160000] lr: 2.344e-06, eta: 1:46:46, time: 0.188, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1768, decode.acc_seg: 92.6964, loss: 0.1768 +2023-03-05 06:38:15,103 - mmseg - INFO - Iter [133100/160000] lr: 2.344e-06, eta: 1:46:34, time: 0.195, data_time: 0.008, memory: 52540, decode.loss_ce: 0.1871, decode.acc_seg: 92.2824, loss: 0.1871 +2023-03-05 06:38:27,359 - mmseg - INFO - Iter [133150/160000] lr: 2.344e-06, eta: 1:46:22, time: 0.245, data_time: 0.058, memory: 52540, decode.loss_ce: 0.1809, decode.acc_seg: 92.5117, loss: 0.1809 +2023-03-05 06:38:36,917 - mmseg - INFO - Iter [133200/160000] lr: 2.344e-06, eta: 1:46:10, time: 0.191, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1868, decode.acc_seg: 92.4221, loss: 0.1868 +2023-03-05 06:38:46,433 - mmseg - INFO - Iter [133250/160000] lr: 2.344e-06, eta: 1:45:57, time: 0.190, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1705, decode.acc_seg: 92.9229, loss: 0.1705 +2023-03-05 06:38:56,378 - mmseg - INFO - Iter [133300/160000] lr: 2.344e-06, eta: 1:45:45, time: 0.199, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1785, decode.acc_seg: 92.5331, loss: 0.1785 +2023-03-05 06:39:06,058 - mmseg - INFO - Iter [133350/160000] lr: 2.344e-06, eta: 1:45:33, time: 0.194, data_time: 0.008, memory: 52540, decode.loss_ce: 0.1840, decode.acc_seg: 92.4131, loss: 0.1840 +2023-03-05 06:39:16,062 - mmseg - INFO - Iter [133400/160000] lr: 2.344e-06, eta: 1:45:20, time: 0.200, data_time: 0.008, memory: 52540, decode.loss_ce: 0.1860, decode.acc_seg: 92.4401, loss: 0.1860 +2023-03-05 06:39:25,622 - mmseg - INFO - Iter [133450/160000] lr: 2.344e-06, eta: 1:45:08, time: 0.191, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1942, decode.acc_seg: 92.1361, loss: 0.1942 +2023-03-05 06:39:35,152 - mmseg - INFO - Iter [133500/160000] lr: 2.344e-06, eta: 1:44:56, time: 0.191, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1797, decode.acc_seg: 92.4936, loss: 0.1797 +2023-03-05 06:39:44,702 - mmseg - INFO - Iter [133550/160000] lr: 2.344e-06, eta: 1:44:43, time: 0.191, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1873, decode.acc_seg: 92.4041, loss: 0.1873 +2023-03-05 06:39:54,236 - mmseg - INFO - Iter [133600/160000] lr: 2.344e-06, eta: 1:44:31, time: 0.191, data_time: 0.008, memory: 52540, decode.loss_ce: 0.1788, decode.acc_seg: 92.6291, loss: 0.1788 +2023-03-05 06:40:03,864 - mmseg - INFO - Iter [133650/160000] lr: 2.344e-06, eta: 1:44:19, time: 0.193, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1803, decode.acc_seg: 92.6870, loss: 0.1803 +2023-03-05 06:40:13,360 - mmseg - INFO - Iter [133700/160000] lr: 2.344e-06, eta: 1:44:06, time: 0.190, data_time: 0.008, memory: 52540, decode.loss_ce: 0.1763, decode.acc_seg: 92.5995, loss: 0.1763 +2023-03-05 06:40:23,032 - mmseg - INFO - Iter [133750/160000] lr: 2.344e-06, eta: 1:43:54, time: 0.193, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1829, decode.acc_seg: 92.6092, loss: 0.1829 +2023-03-05 06:40:35,265 - mmseg - INFO - Iter [133800/160000] lr: 2.344e-06, eta: 1:43:42, time: 0.245, data_time: 0.055, memory: 52540, decode.loss_ce: 0.1822, decode.acc_seg: 92.4519, loss: 0.1822 +2023-03-05 06:40:44,796 - mmseg - INFO - Iter [133850/160000] lr: 2.344e-06, eta: 1:43:30, time: 0.191, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1785, decode.acc_seg: 92.6033, loss: 0.1785 +2023-03-05 06:40:54,296 - mmseg - INFO - Iter [133900/160000] lr: 2.344e-06, eta: 1:43:17, time: 0.190, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1818, decode.acc_seg: 92.4954, loss: 0.1818 +2023-03-05 06:41:03,823 - mmseg - INFO - Iter [133950/160000] lr: 2.344e-06, eta: 1:43:05, time: 0.191, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1899, decode.acc_seg: 92.1922, loss: 0.1899 +2023-03-05 06:41:13,535 - mmseg - INFO - Exp name: ablation_segformer_mit_b2_segformer_head_unet_fc_small_multi_step_ade_pretrained_freeze_embed_160k_ade20k151_mask_finetune_maskonly.py +2023-03-05 06:41:13,535 - mmseg - INFO - Iter [134000/160000] lr: 2.344e-06, eta: 1:42:53, time: 0.194, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1803, decode.acc_seg: 92.4441, loss: 0.1803 +2023-03-05 06:41:23,013 - mmseg - INFO - Iter [134050/160000] lr: 2.344e-06, eta: 1:42:41, time: 0.190, data_time: 0.008, memory: 52540, decode.loss_ce: 0.1824, decode.acc_seg: 92.4827, loss: 0.1824 +2023-03-05 06:41:32,677 - mmseg - INFO - Iter [134100/160000] lr: 2.344e-06, eta: 1:42:28, time: 0.193, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1898, decode.acc_seg: 92.1530, loss: 0.1898 +2023-03-05 06:41:42,103 - mmseg - INFO - Iter [134150/160000] lr: 2.344e-06, eta: 1:42:16, time: 0.189, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1848, decode.acc_seg: 92.5126, loss: 0.1848 +2023-03-05 06:41:51,696 - mmseg - INFO - Iter [134200/160000] lr: 2.344e-06, eta: 1:42:04, time: 0.192, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1791, decode.acc_seg: 92.6223, loss: 0.1791 +2023-03-05 06:42:01,118 - mmseg - INFO - Iter [134250/160000] lr: 2.344e-06, eta: 1:41:51, time: 0.188, data_time: 0.008, memory: 52540, decode.loss_ce: 0.1812, decode.acc_seg: 92.4931, loss: 0.1812 +2023-03-05 06:42:10,685 - mmseg - INFO - Iter [134300/160000] lr: 2.344e-06, eta: 1:41:39, time: 0.191, data_time: 0.008, memory: 52540, decode.loss_ce: 0.1886, decode.acc_seg: 92.2640, loss: 0.1886 +2023-03-05 06:42:20,318 - mmseg - INFO - Iter [134350/160000] lr: 2.344e-06, eta: 1:41:27, time: 0.192, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1842, decode.acc_seg: 92.5092, loss: 0.1842 +2023-03-05 06:42:30,111 - mmseg - INFO - Iter [134400/160000] lr: 2.344e-06, eta: 1:41:14, time: 0.196, data_time: 0.008, memory: 52540, decode.loss_ce: 0.1750, decode.acc_seg: 92.8887, loss: 0.1750 +2023-03-05 06:42:42,807 - mmseg - INFO - Iter [134450/160000] lr: 2.344e-06, eta: 1:41:03, time: 0.254, data_time: 0.057, memory: 52540, decode.loss_ce: 0.1767, decode.acc_seg: 92.7223, loss: 0.1767 +2023-03-05 06:42:52,396 - mmseg - INFO - Iter [134500/160000] lr: 2.344e-06, eta: 1:40:50, time: 0.192, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1839, decode.acc_seg: 92.3806, loss: 0.1839 +2023-03-05 06:43:01,852 - mmseg - INFO - Iter [134550/160000] lr: 2.344e-06, eta: 1:40:38, time: 0.189, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1886, decode.acc_seg: 92.2169, loss: 0.1886 +2023-03-05 06:43:11,255 - mmseg - INFO - Iter [134600/160000] lr: 2.344e-06, eta: 1:40:26, time: 0.188, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1814, decode.acc_seg: 92.5569, loss: 0.1814 +2023-03-05 06:43:20,965 - mmseg - INFO - Iter [134650/160000] lr: 2.344e-06, eta: 1:40:13, time: 0.194, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1805, decode.acc_seg: 92.6299, loss: 0.1805 +2023-03-05 06:43:30,789 - mmseg - INFO - Iter [134700/160000] lr: 2.344e-06, eta: 1:40:01, time: 0.196, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1837, decode.acc_seg: 92.5596, loss: 0.1837 +2023-03-05 06:43:40,663 - mmseg - INFO - Iter [134750/160000] lr: 2.344e-06, eta: 1:39:49, time: 0.198, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1766, decode.acc_seg: 92.7138, loss: 0.1766 +2023-03-05 06:43:50,312 - mmseg - INFO - Iter [134800/160000] lr: 2.344e-06, eta: 1:39:37, time: 0.193, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1780, decode.acc_seg: 92.6271, loss: 0.1780 +2023-03-05 06:43:59,943 - mmseg - INFO - Iter [134850/160000] lr: 2.344e-06, eta: 1:39:24, time: 0.193, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1774, decode.acc_seg: 92.7634, loss: 0.1774 +2023-03-05 06:44:09,575 - mmseg - INFO - Iter [134900/160000] lr: 2.344e-06, eta: 1:39:12, time: 0.193, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1760, decode.acc_seg: 92.7967, loss: 0.1760 +2023-03-05 06:44:19,436 - mmseg - INFO - Iter [134950/160000] lr: 2.344e-06, eta: 1:39:00, time: 0.197, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1809, decode.acc_seg: 92.4777, loss: 0.1809 +2023-03-05 06:44:29,144 - mmseg - INFO - Exp name: ablation_segformer_mit_b2_segformer_head_unet_fc_small_multi_step_ade_pretrained_freeze_embed_160k_ade20k151_mask_finetune_maskonly.py +2023-03-05 06:44:29,144 - mmseg - INFO - Iter [135000/160000] lr: 2.344e-06, eta: 1:38:48, time: 0.194, data_time: 0.008, memory: 52540, decode.loss_ce: 0.1836, decode.acc_seg: 92.4375, loss: 0.1836 +2023-03-05 06:44:41,129 - mmseg - INFO - Iter [135050/160000] lr: 2.344e-06, eta: 1:38:36, time: 0.240, data_time: 0.054, memory: 52540, decode.loss_ce: 0.1779, decode.acc_seg: 92.6066, loss: 0.1779 +2023-03-05 06:44:50,515 - mmseg - INFO - Iter [135100/160000] lr: 2.344e-06, eta: 1:38:24, time: 0.188, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1843, decode.acc_seg: 92.5340, loss: 0.1843 +2023-03-05 06:45:00,011 - mmseg - INFO - Iter [135150/160000] lr: 2.344e-06, eta: 1:38:11, time: 0.190, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1837, decode.acc_seg: 92.5460, loss: 0.1837 +2023-03-05 06:45:09,534 - mmseg - INFO - Iter [135200/160000] lr: 2.344e-06, eta: 1:37:59, time: 0.190, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1834, decode.acc_seg: 92.5416, loss: 0.1834 +2023-03-05 06:45:19,097 - mmseg - INFO - Iter [135250/160000] lr: 2.344e-06, eta: 1:37:47, time: 0.191, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1876, decode.acc_seg: 92.3007, loss: 0.1876 +2023-03-05 06:45:28,949 - mmseg - INFO - Iter [135300/160000] lr: 2.344e-06, eta: 1:37:34, time: 0.197, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1837, decode.acc_seg: 92.5632, loss: 0.1837 +2023-03-05 06:45:38,572 - mmseg - INFO - Iter [135350/160000] lr: 2.344e-06, eta: 1:37:22, time: 0.193, data_time: 0.008, memory: 52540, decode.loss_ce: 0.1801, decode.acc_seg: 92.5232, loss: 0.1801 +2023-03-05 06:45:48,244 - mmseg - INFO - Iter [135400/160000] lr: 2.344e-06, eta: 1:37:10, time: 0.193, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1844, decode.acc_seg: 92.2974, loss: 0.1844 +2023-03-05 06:45:57,982 - mmseg - INFO - Iter [135450/160000] lr: 2.344e-06, eta: 1:36:58, time: 0.195, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1723, decode.acc_seg: 92.9660, loss: 0.1723 +2023-03-05 06:46:07,686 - mmseg - INFO - Iter [135500/160000] lr: 2.344e-06, eta: 1:36:45, time: 0.194, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1808, decode.acc_seg: 92.5851, loss: 0.1808 +2023-03-05 06:46:17,339 - mmseg - INFO - Iter [135550/160000] lr: 2.344e-06, eta: 1:36:33, time: 0.193, data_time: 0.008, memory: 52540, decode.loss_ce: 0.1820, decode.acc_seg: 92.5613, loss: 0.1820 +2023-03-05 06:46:26,764 - mmseg - INFO - Iter [135600/160000] lr: 2.344e-06, eta: 1:36:21, time: 0.188, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1824, decode.acc_seg: 92.3821, loss: 0.1824 +2023-03-05 06:46:36,396 - mmseg - INFO - Iter [135650/160000] lr: 2.344e-06, eta: 1:36:09, time: 0.193, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1881, decode.acc_seg: 92.5089, loss: 0.1881 +2023-03-05 06:46:48,679 - mmseg - INFO - Iter [135700/160000] lr: 2.344e-06, eta: 1:35:57, time: 0.246, data_time: 0.055, memory: 52540, decode.loss_ce: 0.1794, decode.acc_seg: 92.5839, loss: 0.1794 +2023-03-05 06:46:58,371 - mmseg - INFO - Iter [135750/160000] lr: 2.344e-06, eta: 1:35:45, time: 0.194, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1806, decode.acc_seg: 92.6132, loss: 0.1806 +2023-03-05 06:47:08,102 - mmseg - INFO - Iter [135800/160000] lr: 2.344e-06, eta: 1:35:32, time: 0.195, data_time: 0.008, memory: 52540, decode.loss_ce: 0.1801, decode.acc_seg: 92.6759, loss: 0.1801 +2023-03-05 06:47:17,562 - mmseg - INFO - Iter [135850/160000] lr: 2.344e-06, eta: 1:35:20, time: 0.189, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1806, decode.acc_seg: 92.5849, loss: 0.1806 +2023-03-05 06:47:27,441 - mmseg - INFO - Iter [135900/160000] lr: 2.344e-06, eta: 1:35:08, time: 0.197, data_time: 0.008, memory: 52540, decode.loss_ce: 0.1771, decode.acc_seg: 92.7449, loss: 0.1771 +2023-03-05 06:47:37,087 - mmseg - INFO - Iter [135950/160000] lr: 2.344e-06, eta: 1:34:56, time: 0.193, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1772, decode.acc_seg: 92.5849, loss: 0.1772 +2023-03-05 06:47:46,663 - mmseg - INFO - Exp name: ablation_segformer_mit_b2_segformer_head_unet_fc_small_multi_step_ade_pretrained_freeze_embed_160k_ade20k151_mask_finetune_maskonly.py +2023-03-05 06:47:46,663 - mmseg - INFO - Iter [136000/160000] lr: 2.344e-06, eta: 1:34:44, time: 0.192, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1901, decode.acc_seg: 92.3156, loss: 0.1901 +2023-03-05 06:47:56,481 - mmseg - INFO - Iter [136050/160000] lr: 2.344e-06, eta: 1:34:31, time: 0.196, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1823, decode.acc_seg: 92.5528, loss: 0.1823 +2023-03-05 06:48:06,069 - mmseg - INFO - Iter [136100/160000] lr: 2.344e-06, eta: 1:34:19, time: 0.192, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1864, decode.acc_seg: 92.3253, loss: 0.1864 +2023-03-05 06:48:15,611 - mmseg - INFO - Iter [136150/160000] lr: 2.344e-06, eta: 1:34:07, time: 0.191, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1797, decode.acc_seg: 92.5690, loss: 0.1797 +2023-03-05 06:48:25,259 - mmseg - INFO - Iter [136200/160000] lr: 2.344e-06, eta: 1:33:55, time: 0.193, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1824, decode.acc_seg: 92.6892, loss: 0.1824 +2023-03-05 06:48:34,916 - mmseg - INFO - Iter [136250/160000] lr: 2.344e-06, eta: 1:33:42, time: 0.193, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1901, decode.acc_seg: 92.2090, loss: 0.1901 +2023-03-05 06:48:46,940 - mmseg - INFO - Iter [136300/160000] lr: 2.344e-06, eta: 1:33:31, time: 0.240, data_time: 0.055, memory: 52540, decode.loss_ce: 0.1814, decode.acc_seg: 92.5507, loss: 0.1814 +2023-03-05 06:48:56,565 - mmseg - INFO - Iter [136350/160000] lr: 2.344e-06, eta: 1:33:18, time: 0.192, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1762, decode.acc_seg: 92.7715, loss: 0.1762 +2023-03-05 06:49:06,229 - mmseg - INFO - Iter [136400/160000] lr: 2.344e-06, eta: 1:33:06, time: 0.193, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1876, decode.acc_seg: 92.2799, loss: 0.1876 +2023-03-05 06:49:16,040 - mmseg - INFO - Iter [136450/160000] lr: 2.344e-06, eta: 1:32:54, time: 0.196, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1792, decode.acc_seg: 92.6689, loss: 0.1792 +2023-03-05 06:49:25,665 - mmseg - INFO - Iter [136500/160000] lr: 2.344e-06, eta: 1:32:42, time: 0.192, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1796, decode.acc_seg: 92.5845, loss: 0.1796 +2023-03-05 06:49:35,354 - mmseg - INFO - Iter [136550/160000] lr: 2.344e-06, eta: 1:32:30, time: 0.194, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1796, decode.acc_seg: 92.7253, loss: 0.1796 +2023-03-05 06:49:45,009 - mmseg - INFO - Iter [136600/160000] lr: 2.344e-06, eta: 1:32:17, time: 0.193, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1875, decode.acc_seg: 92.4384, loss: 0.1875 +2023-03-05 06:49:54,460 - mmseg - INFO - Iter [136650/160000] lr: 2.344e-06, eta: 1:32:05, time: 0.189, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1851, decode.acc_seg: 92.4618, loss: 0.1851 +2023-03-05 06:50:04,142 - mmseg - INFO - Iter [136700/160000] lr: 2.344e-06, eta: 1:31:53, time: 0.194, data_time: 0.008, memory: 52540, decode.loss_ce: 0.1867, decode.acc_seg: 92.3861, loss: 0.1867 +2023-03-05 06:50:13,860 - mmseg - INFO - Iter [136750/160000] lr: 2.344e-06, eta: 1:31:41, time: 0.194, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1887, decode.acc_seg: 92.4305, loss: 0.1887 +2023-03-05 06:50:23,265 - mmseg - INFO - Iter [136800/160000] lr: 2.344e-06, eta: 1:31:29, time: 0.188, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1902, decode.acc_seg: 92.3005, loss: 0.1902 +2023-03-05 06:50:33,310 - mmseg - INFO - Iter [136850/160000] lr: 2.344e-06, eta: 1:31:16, time: 0.201, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1766, decode.acc_seg: 92.6998, loss: 0.1766 +2023-03-05 06:50:43,128 - mmseg - INFO - Iter [136900/160000] lr: 2.344e-06, eta: 1:31:04, time: 0.196, data_time: 0.008, memory: 52540, decode.loss_ce: 0.1851, decode.acc_seg: 92.5332, loss: 0.1851 +2023-03-05 06:50:55,269 - mmseg - INFO - Iter [136950/160000] lr: 2.344e-06, eta: 1:30:52, time: 0.243, data_time: 0.055, memory: 52540, decode.loss_ce: 0.1779, decode.acc_seg: 92.7042, loss: 0.1779 +2023-03-05 06:51:04,817 - mmseg - INFO - Exp name: ablation_segformer_mit_b2_segformer_head_unet_fc_small_multi_step_ade_pretrained_freeze_embed_160k_ade20k151_mask_finetune_maskonly.py +2023-03-05 06:51:04,817 - mmseg - INFO - Iter [137000/160000] lr: 2.344e-06, eta: 1:30:40, time: 0.191, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1776, decode.acc_seg: 92.6413, loss: 0.1776 +2023-03-05 06:51:14,444 - mmseg - INFO - Iter [137050/160000] lr: 2.344e-06, eta: 1:30:28, time: 0.193, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1906, decode.acc_seg: 92.0487, loss: 0.1906 +2023-03-05 06:51:23,882 - mmseg - INFO - Iter [137100/160000] lr: 2.344e-06, eta: 1:30:16, time: 0.189, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1830, decode.acc_seg: 92.4055, loss: 0.1830 +2023-03-05 06:51:33,539 - mmseg - INFO - Iter [137150/160000] lr: 2.344e-06, eta: 1:30:04, time: 0.193, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1858, decode.acc_seg: 92.3117, loss: 0.1858 +2023-03-05 06:51:43,068 - mmseg - INFO - Iter [137200/160000] lr: 2.344e-06, eta: 1:29:51, time: 0.191, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1854, decode.acc_seg: 92.4147, loss: 0.1854 +2023-03-05 06:51:52,622 - mmseg - INFO - Iter [137250/160000] lr: 2.344e-06, eta: 1:29:39, time: 0.191, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1820, decode.acc_seg: 92.6076, loss: 0.1820 +2023-03-05 06:52:02,166 - mmseg - INFO - Iter [137300/160000] lr: 2.344e-06, eta: 1:29:27, time: 0.191, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1740, decode.acc_seg: 92.6789, loss: 0.1740 +2023-03-05 06:52:11,678 - mmseg - INFO - Iter [137350/160000] lr: 2.344e-06, eta: 1:29:15, time: 0.190, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1805, decode.acc_seg: 92.5901, loss: 0.1805 +2023-03-05 06:52:21,176 - mmseg - INFO - Iter [137400/160000] lr: 2.344e-06, eta: 1:29:03, time: 0.190, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1799, decode.acc_seg: 92.5870, loss: 0.1799 +2023-03-05 06:52:30,963 - mmseg - INFO - Iter [137450/160000] lr: 2.344e-06, eta: 1:28:50, time: 0.196, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1744, decode.acc_seg: 92.6500, loss: 0.1744 +2023-03-05 06:52:40,552 - mmseg - INFO - Iter [137500/160000] lr: 2.344e-06, eta: 1:28:38, time: 0.192, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1807, decode.acc_seg: 92.5767, loss: 0.1807 +2023-03-05 06:52:50,220 - mmseg - INFO - Iter [137550/160000] lr: 2.344e-06, eta: 1:28:26, time: 0.193, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1823, decode.acc_seg: 92.5083, loss: 0.1823 +2023-03-05 06:53:02,356 - mmseg - INFO - Iter [137600/160000] lr: 2.344e-06, eta: 1:28:14, time: 0.243, data_time: 0.055, memory: 52540, decode.loss_ce: 0.1816, decode.acc_seg: 92.4742, loss: 0.1816 +2023-03-05 06:53:11,842 - mmseg - INFO - Iter [137650/160000] lr: 2.344e-06, eta: 1:28:02, time: 0.190, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1775, decode.acc_seg: 92.6492, loss: 0.1775 +2023-03-05 06:53:21,371 - mmseg - INFO - Iter [137700/160000] lr: 2.344e-06, eta: 1:27:50, time: 0.191, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1784, decode.acc_seg: 92.7037, loss: 0.1784 +2023-03-05 06:53:30,802 - mmseg - INFO - Iter [137750/160000] lr: 2.344e-06, eta: 1:27:38, time: 0.189, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1831, decode.acc_seg: 92.5682, loss: 0.1831 +2023-03-05 06:53:40,602 - mmseg - INFO - Iter [137800/160000] lr: 2.344e-06, eta: 1:27:26, time: 0.196, data_time: 0.008, memory: 52540, decode.loss_ce: 0.1858, decode.acc_seg: 92.4913, loss: 0.1858 +2023-03-05 06:53:50,096 - mmseg - INFO - Iter [137850/160000] lr: 2.344e-06, eta: 1:27:13, time: 0.190, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1830, decode.acc_seg: 92.3581, loss: 0.1830 +2023-03-05 06:53:59,757 - mmseg - INFO - Iter [137900/160000] lr: 2.344e-06, eta: 1:27:01, time: 0.193, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1799, decode.acc_seg: 92.5576, loss: 0.1799 +2023-03-05 06:54:09,288 - mmseg - INFO - Iter [137950/160000] lr: 2.344e-06, eta: 1:26:49, time: 0.191, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1727, decode.acc_seg: 92.8190, loss: 0.1727 +2023-03-05 06:54:18,941 - mmseg - INFO - Exp name: ablation_segformer_mit_b2_segformer_head_unet_fc_small_multi_step_ade_pretrained_freeze_embed_160k_ade20k151_mask_finetune_maskonly.py +2023-03-05 06:54:18,942 - mmseg - INFO - Iter [138000/160000] lr: 2.344e-06, eta: 1:26:37, time: 0.193, data_time: 0.008, memory: 52540, decode.loss_ce: 0.1803, decode.acc_seg: 92.6384, loss: 0.1803 +2023-03-05 06:54:28,566 - mmseg - INFO - Iter [138050/160000] lr: 2.344e-06, eta: 1:26:25, time: 0.192, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1832, decode.acc_seg: 92.5782, loss: 0.1832 +2023-03-05 06:54:37,971 - mmseg - INFO - Iter [138100/160000] lr: 2.344e-06, eta: 1:26:13, time: 0.188, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1857, decode.acc_seg: 92.4873, loss: 0.1857 +2023-03-05 06:54:47,425 - mmseg - INFO - Iter [138150/160000] lr: 2.344e-06, eta: 1:26:00, time: 0.189, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1772, decode.acc_seg: 92.6964, loss: 0.1772 +2023-03-05 06:54:59,605 - mmseg - INFO - Iter [138200/160000] lr: 2.344e-06, eta: 1:25:49, time: 0.244, data_time: 0.056, memory: 52540, decode.loss_ce: 0.1803, decode.acc_seg: 92.5606, loss: 0.1803 +2023-03-05 06:55:09,099 - mmseg - INFO - Iter [138250/160000] lr: 2.344e-06, eta: 1:25:36, time: 0.190, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1759, decode.acc_seg: 92.7793, loss: 0.1759 +2023-03-05 06:55:18,706 - mmseg - INFO - Iter [138300/160000] lr: 2.344e-06, eta: 1:25:24, time: 0.192, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1824, decode.acc_seg: 92.5210, loss: 0.1824 +2023-03-05 06:55:28,233 - mmseg - INFO - Iter [138350/160000] lr: 2.344e-06, eta: 1:25:12, time: 0.191, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1749, decode.acc_seg: 92.9092, loss: 0.1749 +2023-03-05 06:55:37,701 - mmseg - INFO - Iter [138400/160000] lr: 2.344e-06, eta: 1:25:00, time: 0.189, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1863, decode.acc_seg: 92.3412, loss: 0.1863 +2023-03-05 06:55:47,117 - mmseg - INFO - Iter [138450/160000] lr: 2.344e-06, eta: 1:24:48, time: 0.188, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1799, decode.acc_seg: 92.6362, loss: 0.1799 +2023-03-05 06:55:56,655 - mmseg - INFO - Iter [138500/160000] lr: 2.344e-06, eta: 1:24:36, time: 0.191, data_time: 0.008, memory: 52540, decode.loss_ce: 0.1869, decode.acc_seg: 92.5655, loss: 0.1869 +2023-03-05 06:56:06,312 - mmseg - INFO - Iter [138550/160000] lr: 2.344e-06, eta: 1:24:23, time: 0.193, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1750, decode.acc_seg: 92.7197, loss: 0.1750 +2023-03-05 06:56:15,804 - mmseg - INFO - Iter [138600/160000] lr: 2.344e-06, eta: 1:24:11, time: 0.190, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1839, decode.acc_seg: 92.4279, loss: 0.1839 +2023-03-05 06:56:25,374 - mmseg - INFO - Iter [138650/160000] lr: 2.344e-06, eta: 1:23:59, time: 0.191, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1871, decode.acc_seg: 92.3626, loss: 0.1871 +2023-03-05 06:56:35,056 - mmseg - INFO - Iter [138700/160000] lr: 2.344e-06, eta: 1:23:47, time: 0.194, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1877, decode.acc_seg: 92.1640, loss: 0.1877 +2023-03-05 06:56:44,775 - mmseg - INFO - Iter [138750/160000] lr: 2.344e-06, eta: 1:23:35, time: 0.194, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1837, decode.acc_seg: 92.4506, loss: 0.1837 +2023-03-05 06:56:54,287 - mmseg - INFO - Iter [138800/160000] lr: 2.344e-06, eta: 1:23:23, time: 0.190, data_time: 0.008, memory: 52540, decode.loss_ce: 0.1872, decode.acc_seg: 92.1478, loss: 0.1872 +2023-03-05 06:57:06,267 - mmseg - INFO - Iter [138850/160000] lr: 2.344e-06, eta: 1:23:11, time: 0.240, data_time: 0.055, memory: 52540, decode.loss_ce: 0.1873, decode.acc_seg: 92.2929, loss: 0.1873 +2023-03-05 06:57:15,906 - mmseg - INFO - Iter [138900/160000] lr: 2.344e-06, eta: 1:22:59, time: 0.193, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1765, decode.acc_seg: 92.6210, loss: 0.1765 +2023-03-05 06:57:25,705 - mmseg - INFO - Iter [138950/160000] lr: 2.344e-06, eta: 1:22:47, time: 0.196, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1781, decode.acc_seg: 92.6528, loss: 0.1781 +2023-03-05 06:57:35,375 - mmseg - INFO - Exp name: ablation_segformer_mit_b2_segformer_head_unet_fc_small_multi_step_ade_pretrained_freeze_embed_160k_ade20k151_mask_finetune_maskonly.py +2023-03-05 06:57:35,375 - mmseg - INFO - Iter [139000/160000] lr: 2.344e-06, eta: 1:22:35, time: 0.193, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1734, decode.acc_seg: 92.8237, loss: 0.1734 +2023-03-05 06:57:45,034 - mmseg - INFO - Iter [139050/160000] lr: 2.344e-06, eta: 1:22:23, time: 0.193, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1877, decode.acc_seg: 92.4776, loss: 0.1877 +2023-03-05 06:57:54,479 - mmseg - INFO - Iter [139100/160000] lr: 2.344e-06, eta: 1:22:10, time: 0.189, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1912, decode.acc_seg: 92.2019, loss: 0.1912 +2023-03-05 06:58:04,055 - mmseg - INFO - Iter [139150/160000] lr: 2.344e-06, eta: 1:21:58, time: 0.192, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1822, decode.acc_seg: 92.4930, loss: 0.1822 +2023-03-05 06:58:13,698 - mmseg - INFO - Iter [139200/160000] lr: 2.344e-06, eta: 1:21:46, time: 0.193, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1810, decode.acc_seg: 92.5346, loss: 0.1810 +2023-03-05 06:58:23,294 - mmseg - INFO - Iter [139250/160000] lr: 2.344e-06, eta: 1:21:34, time: 0.192, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1798, decode.acc_seg: 92.6275, loss: 0.1798 +2023-03-05 06:58:32,768 - mmseg - INFO - Iter [139300/160000] lr: 2.344e-06, eta: 1:21:22, time: 0.190, data_time: 0.008, memory: 52540, decode.loss_ce: 0.1809, decode.acc_seg: 92.6223, loss: 0.1809 +2023-03-05 06:58:42,312 - mmseg - INFO - Iter [139350/160000] lr: 2.344e-06, eta: 1:21:10, time: 0.191, data_time: 0.008, memory: 52540, decode.loss_ce: 0.1765, decode.acc_seg: 92.7615, loss: 0.1765 +2023-03-05 06:58:51,902 - mmseg - INFO - Iter [139400/160000] lr: 2.344e-06, eta: 1:20:58, time: 0.192, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1787, decode.acc_seg: 92.6276, loss: 0.1787 +2023-03-05 06:59:01,501 - mmseg - INFO - Iter [139450/160000] lr: 2.344e-06, eta: 1:20:46, time: 0.192, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1870, decode.acc_seg: 92.2525, loss: 0.1870 +2023-03-05 06:59:13,960 - mmseg - INFO - Iter [139500/160000] lr: 2.344e-06, eta: 1:20:34, time: 0.249, data_time: 0.053, memory: 52540, decode.loss_ce: 0.1843, decode.acc_seg: 92.3593, loss: 0.1843 +2023-03-05 06:59:23,742 - mmseg - INFO - Iter [139550/160000] lr: 2.344e-06, eta: 1:20:22, time: 0.196, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1829, decode.acc_seg: 92.4733, loss: 0.1829 +2023-03-05 06:59:33,262 - mmseg - INFO - Iter [139600/160000] lr: 2.344e-06, eta: 1:20:10, time: 0.190, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1902, decode.acc_seg: 92.2556, loss: 0.1902 +2023-03-05 06:59:43,046 - mmseg - INFO - Iter [139650/160000] lr: 2.344e-06, eta: 1:19:58, time: 0.196, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1887, decode.acc_seg: 92.3327, loss: 0.1887 +2023-03-05 06:59:52,571 - mmseg - INFO - Iter [139700/160000] lr: 2.344e-06, eta: 1:19:45, time: 0.190, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1825, decode.acc_seg: 92.5223, loss: 0.1825 +2023-03-05 07:00:02,067 - mmseg - INFO - Iter [139750/160000] lr: 2.344e-06, eta: 1:19:33, time: 0.190, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1831, decode.acc_seg: 92.4747, loss: 0.1831 +2023-03-05 07:00:11,511 - mmseg - INFO - Iter [139800/160000] lr: 2.344e-06, eta: 1:19:21, time: 0.189, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1744, decode.acc_seg: 92.7638, loss: 0.1744 +2023-03-05 07:00:21,030 - mmseg - INFO - Iter [139850/160000] lr: 2.344e-06, eta: 1:19:09, time: 0.190, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1780, decode.acc_seg: 92.4823, loss: 0.1780 +2023-03-05 07:00:30,628 - mmseg - INFO - Iter [139900/160000] lr: 2.344e-06, eta: 1:18:57, time: 0.192, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1859, decode.acc_seg: 92.3915, loss: 0.1859 +2023-03-05 07:00:40,384 - mmseg - INFO - Iter [139950/160000] lr: 2.344e-06, eta: 1:18:45, time: 0.195, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1885, decode.acc_seg: 92.3202, loss: 0.1885 +2023-03-05 07:00:50,263 - mmseg - INFO - Exp name: ablation_segformer_mit_b2_segformer_head_unet_fc_small_multi_step_ade_pretrained_freeze_embed_160k_ade20k151_mask_finetune_maskonly.py +2023-03-05 07:00:50,263 - mmseg - INFO - Iter [140000/160000] lr: 2.344e-06, eta: 1:18:33, time: 0.198, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1822, decode.acc_seg: 92.4775, loss: 0.1822 +2023-03-05 07:00:59,973 - mmseg - INFO - Iter [140050/160000] lr: 1.172e-06, eta: 1:18:21, time: 0.194, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1782, decode.acc_seg: 92.4991, loss: 0.1782 +2023-03-05 07:01:12,095 - mmseg - INFO - Iter [140100/160000] lr: 1.172e-06, eta: 1:18:09, time: 0.243, data_time: 0.053, memory: 52540, decode.loss_ce: 0.1830, decode.acc_seg: 92.4473, loss: 0.1830 +2023-03-05 07:01:21,708 - mmseg - INFO - Iter [140150/160000] lr: 1.172e-06, eta: 1:17:57, time: 0.192, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1801, decode.acc_seg: 92.6514, loss: 0.1801 +2023-03-05 07:01:31,560 - mmseg - INFO - Iter [140200/160000] lr: 1.172e-06, eta: 1:17:45, time: 0.197, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1820, decode.acc_seg: 92.5685, loss: 0.1820 +2023-03-05 07:01:41,214 - mmseg - INFO - Iter [140250/160000] lr: 1.172e-06, eta: 1:17:33, time: 0.193, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1865, decode.acc_seg: 92.4121, loss: 0.1865 +2023-03-05 07:01:50,732 - mmseg - INFO - Iter [140300/160000] lr: 1.172e-06, eta: 1:17:21, time: 0.190, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1841, decode.acc_seg: 92.5124, loss: 0.1841 +2023-03-05 07:02:00,387 - mmseg - INFO - Iter [140350/160000] lr: 1.172e-06, eta: 1:17:09, time: 0.193, data_time: 0.008, memory: 52540, decode.loss_ce: 0.1752, decode.acc_seg: 92.7215, loss: 0.1752 +2023-03-05 07:02:09,969 - mmseg - INFO - Iter [140400/160000] lr: 1.172e-06, eta: 1:16:57, time: 0.192, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1828, decode.acc_seg: 92.5051, loss: 0.1828 +2023-03-05 07:02:19,445 - mmseg - INFO - Iter [140450/160000] lr: 1.172e-06, eta: 1:16:44, time: 0.189, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1803, decode.acc_seg: 92.5481, loss: 0.1803 +2023-03-05 07:02:29,043 - mmseg - INFO - Iter [140500/160000] lr: 1.172e-06, eta: 1:16:32, time: 0.192, data_time: 0.008, memory: 52540, decode.loss_ce: 0.1764, decode.acc_seg: 92.7274, loss: 0.1764 +2023-03-05 07:02:38,457 - mmseg - INFO - Iter [140550/160000] lr: 1.172e-06, eta: 1:16:20, time: 0.188, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1799, decode.acc_seg: 92.5973, loss: 0.1799 +2023-03-05 07:02:48,166 - mmseg - INFO - Iter [140600/160000] lr: 1.172e-06, eta: 1:16:08, time: 0.194, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1839, decode.acc_seg: 92.3833, loss: 0.1839 +2023-03-05 07:02:57,955 - mmseg - INFO - Iter [140650/160000] lr: 1.172e-06, eta: 1:15:56, time: 0.196, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1849, decode.acc_seg: 92.4385, loss: 0.1849 +2023-03-05 07:03:07,699 - mmseg - INFO - Iter [140700/160000] lr: 1.172e-06, eta: 1:15:44, time: 0.195, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1852, decode.acc_seg: 92.4096, loss: 0.1852 +2023-03-05 07:03:19,983 - mmseg - INFO - Iter [140750/160000] lr: 1.172e-06, eta: 1:15:32, time: 0.246, data_time: 0.055, memory: 52540, decode.loss_ce: 0.1803, decode.acc_seg: 92.6629, loss: 0.1803 +2023-03-05 07:03:29,454 - mmseg - INFO - Iter [140800/160000] lr: 1.172e-06, eta: 1:15:20, time: 0.189, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1823, decode.acc_seg: 92.5830, loss: 0.1823 +2023-03-05 07:03:39,103 - mmseg - INFO - Iter [140850/160000] lr: 1.172e-06, eta: 1:15:08, time: 0.193, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1877, decode.acc_seg: 92.3470, loss: 0.1877 +2023-03-05 07:03:48,543 - mmseg - INFO - Iter [140900/160000] lr: 1.172e-06, eta: 1:14:56, time: 0.189, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1852, decode.acc_seg: 92.3634, loss: 0.1852 +2023-03-05 07:03:58,016 - mmseg - INFO - Iter [140950/160000] lr: 1.172e-06, eta: 1:14:44, time: 0.189, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1770, decode.acc_seg: 92.5076, loss: 0.1770 +2023-03-05 07:04:07,680 - mmseg - INFO - Exp name: ablation_segformer_mit_b2_segformer_head_unet_fc_small_multi_step_ade_pretrained_freeze_embed_160k_ade20k151_mask_finetune_maskonly.py +2023-03-05 07:04:07,680 - mmseg - INFO - Iter [141000/160000] lr: 1.172e-06, eta: 1:14:32, time: 0.193, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1806, decode.acc_seg: 92.4596, loss: 0.1806 +2023-03-05 07:04:17,191 - mmseg - INFO - Iter [141050/160000] lr: 1.172e-06, eta: 1:14:20, time: 0.190, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1895, decode.acc_seg: 92.2869, loss: 0.1895 +2023-03-05 07:04:26,774 - mmseg - INFO - Iter [141100/160000] lr: 1.172e-06, eta: 1:14:08, time: 0.192, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1836, decode.acc_seg: 92.3986, loss: 0.1836 +2023-03-05 07:04:36,376 - mmseg - INFO - Iter [141150/160000] lr: 1.172e-06, eta: 1:13:56, time: 0.192, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1843, decode.acc_seg: 92.5224, loss: 0.1843 +2023-03-05 07:04:46,110 - mmseg - INFO - Iter [141200/160000] lr: 1.172e-06, eta: 1:13:44, time: 0.195, data_time: 0.008, memory: 52540, decode.loss_ce: 0.1816, decode.acc_seg: 92.7003, loss: 0.1816 +2023-03-05 07:04:55,907 - mmseg - INFO - Iter [141250/160000] lr: 1.172e-06, eta: 1:13:32, time: 0.196, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1863, decode.acc_seg: 92.4617, loss: 0.1863 +2023-03-05 07:05:05,583 - mmseg - INFO - Iter [141300/160000] lr: 1.172e-06, eta: 1:13:20, time: 0.194, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1861, decode.acc_seg: 92.3638, loss: 0.1861 +2023-03-05 07:05:17,625 - mmseg - INFO - Iter [141350/160000] lr: 1.172e-06, eta: 1:13:08, time: 0.241, data_time: 0.054, memory: 52540, decode.loss_ce: 0.1829, decode.acc_seg: 92.3903, loss: 0.1829 +2023-03-05 07:05:27,218 - mmseg - INFO - Iter [141400/160000] lr: 1.172e-06, eta: 1:12:56, time: 0.192, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1831, decode.acc_seg: 92.4003, loss: 0.1831 +2023-03-05 07:05:36,770 - mmseg - INFO - Iter [141450/160000] lr: 1.172e-06, eta: 1:12:44, time: 0.191, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1904, decode.acc_seg: 92.2696, loss: 0.1904 +2023-03-05 07:05:46,272 - mmseg - INFO - Iter [141500/160000] lr: 1.172e-06, eta: 1:12:32, time: 0.190, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1794, decode.acc_seg: 92.5093, loss: 0.1794 +2023-03-05 07:05:55,870 - mmseg - INFO - Iter [141550/160000] lr: 1.172e-06, eta: 1:12:20, time: 0.192, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1841, decode.acc_seg: 92.5687, loss: 0.1841 +2023-03-05 07:06:05,725 - mmseg - INFO - Iter [141600/160000] lr: 1.172e-06, eta: 1:12:08, time: 0.197, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1839, decode.acc_seg: 92.4661, loss: 0.1839 +2023-03-05 07:06:15,236 - mmseg - INFO - Iter [141650/160000] lr: 1.172e-06, eta: 1:11:56, time: 0.190, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1761, decode.acc_seg: 92.7784, loss: 0.1761 +2023-03-05 07:06:24,677 - mmseg - INFO - Iter [141700/160000] lr: 1.172e-06, eta: 1:11:44, time: 0.189, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1878, decode.acc_seg: 92.4182, loss: 0.1878 +2023-03-05 07:06:34,446 - mmseg - INFO - Iter [141750/160000] lr: 1.172e-06, eta: 1:11:32, time: 0.195, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1853, decode.acc_seg: 92.4016, loss: 0.1853 +2023-03-05 07:06:44,241 - mmseg - INFO - Iter [141800/160000] lr: 1.172e-06, eta: 1:11:20, time: 0.196, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1823, decode.acc_seg: 92.5829, loss: 0.1823 +2023-03-05 07:06:53,898 - mmseg - INFO - Iter [141850/160000] lr: 1.172e-06, eta: 1:11:08, time: 0.193, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1807, decode.acc_seg: 92.5081, loss: 0.1807 +2023-03-05 07:07:03,800 - mmseg - INFO - Iter [141900/160000] lr: 1.172e-06, eta: 1:10:56, time: 0.198, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1801, decode.acc_seg: 92.5509, loss: 0.1801 +2023-03-05 07:07:13,467 - mmseg - INFO - Iter [141950/160000] lr: 1.172e-06, eta: 1:10:44, time: 0.194, data_time: 0.008, memory: 52540, decode.loss_ce: 0.1907, decode.acc_seg: 92.1444, loss: 0.1907 +2023-03-05 07:07:25,923 - mmseg - INFO - Exp name: ablation_segformer_mit_b2_segformer_head_unet_fc_small_multi_step_ade_pretrained_freeze_embed_160k_ade20k151_mask_finetune_maskonly.py +2023-03-05 07:07:25,923 - mmseg - INFO - Iter [142000/160000] lr: 1.172e-06, eta: 1:10:32, time: 0.249, data_time: 0.056, memory: 52540, decode.loss_ce: 0.1769, decode.acc_seg: 92.7732, loss: 0.1769 +2023-03-05 07:07:35,340 - mmseg - INFO - Iter [142050/160000] lr: 1.172e-06, eta: 1:10:20, time: 0.188, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1814, decode.acc_seg: 92.5367, loss: 0.1814 +2023-03-05 07:07:45,107 - mmseg - INFO - Iter [142100/160000] lr: 1.172e-06, eta: 1:10:08, time: 0.195, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1825, decode.acc_seg: 92.4337, loss: 0.1825 +2023-03-05 07:07:54,748 - mmseg - INFO - Iter [142150/160000] lr: 1.172e-06, eta: 1:09:56, time: 0.193, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1779, decode.acc_seg: 92.5759, loss: 0.1779 +2023-03-05 07:08:04,690 - mmseg - INFO - Iter [142200/160000] lr: 1.172e-06, eta: 1:09:44, time: 0.199, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1863, decode.acc_seg: 92.3336, loss: 0.1863 +2023-03-05 07:08:14,768 - mmseg - INFO - Iter [142250/160000] lr: 1.172e-06, eta: 1:09:32, time: 0.202, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1820, decode.acc_seg: 92.5409, loss: 0.1820 +2023-03-05 07:08:24,382 - mmseg - INFO - Iter [142300/160000] lr: 1.172e-06, eta: 1:09:20, time: 0.192, data_time: 0.008, memory: 52540, decode.loss_ce: 0.1796, decode.acc_seg: 92.7309, loss: 0.1796 +2023-03-05 07:08:34,240 - mmseg - INFO - Iter [142350/160000] lr: 1.172e-06, eta: 1:09:08, time: 0.197, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1801, decode.acc_seg: 92.6527, loss: 0.1801 +2023-03-05 07:08:43,910 - mmseg - INFO - Iter [142400/160000] lr: 1.172e-06, eta: 1:08:56, time: 0.193, data_time: 0.008, memory: 52540, decode.loss_ce: 0.1902, decode.acc_seg: 92.2067, loss: 0.1902 +2023-03-05 07:08:53,814 - mmseg - INFO - Iter [142450/160000] lr: 1.172e-06, eta: 1:08:44, time: 0.198, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1817, decode.acc_seg: 92.6257, loss: 0.1817 +2023-03-05 07:09:03,499 - mmseg - INFO - Iter [142500/160000] lr: 1.172e-06, eta: 1:08:32, time: 0.194, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1847, decode.acc_seg: 92.4489, loss: 0.1847 +2023-03-05 07:09:13,379 - mmseg - INFO - Iter [142550/160000] lr: 1.172e-06, eta: 1:08:20, time: 0.198, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1937, decode.acc_seg: 92.1227, loss: 0.1937 +2023-03-05 07:09:22,872 - mmseg - INFO - Iter [142600/160000] lr: 1.172e-06, eta: 1:08:08, time: 0.190, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1847, decode.acc_seg: 92.4400, loss: 0.1847 +2023-03-05 07:09:35,068 - mmseg - INFO - Iter [142650/160000] lr: 1.172e-06, eta: 1:07:56, time: 0.244, data_time: 0.058, memory: 52540, decode.loss_ce: 0.1895, decode.acc_seg: 92.2789, loss: 0.1895 +2023-03-05 07:09:44,839 - mmseg - INFO - Iter [142700/160000] lr: 1.172e-06, eta: 1:07:44, time: 0.195, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1864, decode.acc_seg: 92.3745, loss: 0.1864 +2023-03-05 07:09:54,428 - mmseg - INFO - Iter [142750/160000] lr: 1.172e-06, eta: 1:07:32, time: 0.191, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1782, decode.acc_seg: 92.7377, loss: 0.1782 +2023-03-05 07:10:04,062 - mmseg - INFO - Iter [142800/160000] lr: 1.172e-06, eta: 1:07:20, time: 0.193, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1819, decode.acc_seg: 92.4667, loss: 0.1819 +2023-03-05 07:10:13,542 - mmseg - INFO - Iter [142850/160000] lr: 1.172e-06, eta: 1:07:08, time: 0.190, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1851, decode.acc_seg: 92.5530, loss: 0.1851 +2023-03-05 07:10:23,337 - mmseg - INFO - Iter [142900/160000] lr: 1.172e-06, eta: 1:06:56, time: 0.196, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1857, decode.acc_seg: 92.4331, loss: 0.1857 +2023-03-05 07:10:33,122 - mmseg - INFO - Iter [142950/160000] lr: 1.172e-06, eta: 1:06:44, time: 0.196, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1804, decode.acc_seg: 92.6375, loss: 0.1804 +2023-03-05 07:10:42,575 - mmseg - INFO - Exp name: ablation_segformer_mit_b2_segformer_head_unet_fc_small_multi_step_ade_pretrained_freeze_embed_160k_ade20k151_mask_finetune_maskonly.py +2023-03-05 07:10:42,576 - mmseg - INFO - Iter [143000/160000] lr: 1.172e-06, eta: 1:06:32, time: 0.189, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1846, decode.acc_seg: 92.3824, loss: 0.1846 +2023-03-05 07:10:52,180 - mmseg - INFO - Iter [143050/160000] lr: 1.172e-06, eta: 1:06:20, time: 0.192, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1764, decode.acc_seg: 92.7239, loss: 0.1764 +2023-03-05 07:11:01,754 - mmseg - INFO - Iter [143100/160000] lr: 1.172e-06, eta: 1:06:08, time: 0.191, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1805, decode.acc_seg: 92.5891, loss: 0.1805 +2023-03-05 07:11:11,516 - mmseg - INFO - Iter [143150/160000] lr: 1.172e-06, eta: 1:05:56, time: 0.195, data_time: 0.008, memory: 52540, decode.loss_ce: 0.1852, decode.acc_seg: 92.6072, loss: 0.1852 +2023-03-05 07:11:21,560 - mmseg - INFO - Iter [143200/160000] lr: 1.172e-06, eta: 1:05:44, time: 0.201, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1849, decode.acc_seg: 92.4638, loss: 0.1849 +2023-03-05 07:11:33,652 - mmseg - INFO - Iter [143250/160000] lr: 1.172e-06, eta: 1:05:33, time: 0.242, data_time: 0.053, memory: 52540, decode.loss_ce: 0.1886, decode.acc_seg: 92.3961, loss: 0.1886 +2023-03-05 07:11:43,904 - mmseg - INFO - Iter [143300/160000] lr: 1.172e-06, eta: 1:05:21, time: 0.205, data_time: 0.008, memory: 52540, decode.loss_ce: 0.1778, decode.acc_seg: 92.5985, loss: 0.1778 +2023-03-05 07:11:53,616 - mmseg - INFO - Iter [143350/160000] lr: 1.172e-06, eta: 1:05:09, time: 0.194, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1899, decode.acc_seg: 92.2764, loss: 0.1899 +2023-03-05 07:12:03,374 - mmseg - INFO - Iter [143400/160000] lr: 1.172e-06, eta: 1:04:57, time: 0.195, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1834, decode.acc_seg: 92.4923, loss: 0.1834 +2023-03-05 07:12:13,057 - mmseg - INFO - Iter [143450/160000] lr: 1.172e-06, eta: 1:04:45, time: 0.194, data_time: 0.008, memory: 52540, decode.loss_ce: 0.1887, decode.acc_seg: 92.2396, loss: 0.1887 +2023-03-05 07:12:22,620 - mmseg - INFO - Iter [143500/160000] lr: 1.172e-06, eta: 1:04:33, time: 0.191, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1835, decode.acc_seg: 92.6627, loss: 0.1835 +2023-03-05 07:12:32,526 - mmseg - INFO - Iter [143550/160000] lr: 1.172e-06, eta: 1:04:21, time: 0.198, data_time: 0.008, memory: 52540, decode.loss_ce: 0.1766, decode.acc_seg: 92.8628, loss: 0.1766 +2023-03-05 07:12:41,962 - mmseg - INFO - Iter [143600/160000] lr: 1.172e-06, eta: 1:04:09, time: 0.189, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1860, decode.acc_seg: 92.3612, loss: 0.1860 +2023-03-05 07:12:51,526 - mmseg - INFO - Iter [143650/160000] lr: 1.172e-06, eta: 1:03:57, time: 0.191, data_time: 0.008, memory: 52540, decode.loss_ce: 0.1857, decode.acc_seg: 92.4248, loss: 0.1857 +2023-03-05 07:13:01,066 - mmseg - INFO - Iter [143700/160000] lr: 1.172e-06, eta: 1:03:45, time: 0.191, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1830, decode.acc_seg: 92.3781, loss: 0.1830 +2023-03-05 07:13:10,835 - mmseg - INFO - Iter [143750/160000] lr: 1.172e-06, eta: 1:03:33, time: 0.195, data_time: 0.008, memory: 52540, decode.loss_ce: 0.1896, decode.acc_seg: 92.2559, loss: 0.1896 +2023-03-05 07:13:20,572 - mmseg - INFO - Iter [143800/160000] lr: 1.172e-06, eta: 1:03:21, time: 0.195, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1879, decode.acc_seg: 92.3535, loss: 0.1879 +2023-03-05 07:13:29,995 - mmseg - INFO - Iter [143850/160000] lr: 1.172e-06, eta: 1:03:09, time: 0.188, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1850, decode.acc_seg: 92.4174, loss: 0.1850 +2023-03-05 07:13:42,316 - mmseg - INFO - Iter [143900/160000] lr: 1.172e-06, eta: 1:02:57, time: 0.246, data_time: 0.055, memory: 52540, decode.loss_ce: 0.1846, decode.acc_seg: 92.4725, loss: 0.1846 +2023-03-05 07:13:52,009 - mmseg - INFO - Iter [143950/160000] lr: 1.172e-06, eta: 1:02:45, time: 0.194, data_time: 0.008, memory: 52540, decode.loss_ce: 0.1883, decode.acc_seg: 92.3705, loss: 0.1883 +2023-03-05 07:14:01,705 - mmseg - INFO - Swap parameters (after train) after iter [144000] +2023-03-05 07:14:01,718 - mmseg - INFO - Saving checkpoint at 144000 iterations +2023-03-05 07:14:02,767 - mmseg - INFO - Exp name: ablation_segformer_mit_b2_segformer_head_unet_fc_small_multi_step_ade_pretrained_freeze_embed_160k_ade20k151_mask_finetune_maskonly.py +2023-03-05 07:14:02,767 - mmseg - INFO - Iter [144000/160000] lr: 1.172e-06, eta: 1:02:33, time: 0.215, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1789, decode.acc_seg: 92.6137, loss: 0.1789 +2023-03-05 07:24:54,123 - mmseg - INFO - per class results: +2023-03-05 07:24:54,132 - mmseg - INFO - ++---------------------+-------------------------------------------------------------------+ +| Class | IoU 0,10,20,30,40,50,60,70,80,90,99 | ++---------------------+-------------------------------------------------------------------+ +| background | nan,nan,nan,nan,nan,nan,nan,nan,nan,nan,nan | +| wall | 77.24,77.42,77.43,77.43,77.43,77.44,77.44,77.44,77.44,77.44,77.45 | +| building | 81.78,81.77,81.77,81.78,81.78,81.78,81.78,81.78,81.77,81.77,81.76 | +| sky | 94.43,94.52,94.52,94.52,94.52,94.52,94.52,94.52,94.52,94.52,94.52 | +| floor | 81.63,81.83,81.82,81.81,81.81,81.81,81.82,81.82,81.82,81.82,81.84 | +| tree | 74.15,74.42,74.42,74.42,74.42,74.42,74.41,74.4,74.4,74.4,74.39 | +| ceiling | 84.93,85.41,85.41,85.42,85.42,85.44,85.43,85.42,85.42,85.42,85.46 | +| road | 82.05,81.91,81.88,81.84,81.84,81.86,81.87,81.88,81.89,81.91,81.81 | +| bed | 87.39,87.63,87.62,87.63,87.63,87.64,87.64,87.63,87.64,87.64,87.58 | +| windowpane | 60.57,60.92,60.91,60.92,60.9,60.91,60.91,60.9,60.92,60.9,60.95 | +| grass | 66.8,67.17,67.23,67.21,67.19,67.16,67.18,67.18,67.18,67.18,67.19 | +| cabinet | 59.7,60.44,60.46,60.44,60.45,60.44,60.41,60.42,60.44,60.43,60.48 | +| sidewalk | 64.28,63.9,63.82,63.72,63.71,63.75,63.8,63.82,63.84,63.86,63.63 | +| person | 79.66,79.8,79.8,79.8,79.81,79.82,79.81,79.81,79.82,79.82,79.83 | +| earth | 36.17,36.29,36.24,36.23,36.27,36.26,36.3,36.29,36.27,36.29,36.31 | +| door | 46.26,46.51,46.45,46.42,46.39,46.41,46.42,46.43,46.42,46.43,46.43 | +| table | 61.13,61.45,61.43,61.45,61.45,61.44,61.43,61.41,61.42,61.42,61.38 | +| mountain | 56.88,57.32,57.39,57.37,57.39,57.38,57.38,57.38,57.38,57.39,57.58 | +| plant | 49.61,49.87,49.9,49.93,49.95,49.98,49.99,49.98,49.99,49.99,49.97 | +| curtain | 73.49,74.28,74.33,74.35,74.37,74.35,74.32,74.31,74.31,74.3,74.26 | +| chair | 56.37,56.68,56.73,56.72,56.72,56.73,56.72,56.71,56.74,56.73,56.75 | +| car | 82.2,82.62,82.63,82.63,82.64,82.64,82.64,82.64,82.64,82.64,82.68 | +| water | 58.16,58.14,58.11,58.09,58.08,58.11,58.12,58.12,58.1,58.07,58.15 | +| painting | 70.39,69.92,69.94,69.92,69.91,69.91,69.92,69.93,69.91,69.91,69.9 | +| sofa | 64.23,64.56,64.55,64.52,64.52,64.52,64.52,64.51,64.52,64.51,64.5 | +| shelf | 43.62,43.91,43.87,43.89,43.9,43.89,43.9,43.91,43.92,43.91,43.8 | +| house | 43.61,43.4,43.34,43.31,43.39,43.4,43.35,43.33,43.29,43.3,43.2 | +| sea | 60.04,60.53,60.55,60.54,60.52,60.52,60.53,60.54,60.52,60.52,60.58 | +| mirror | 66.06,66.41,66.52,66.5,66.48,66.49,66.48,66.5,66.49,66.51,66.56 | +| rug | 64.02,64.92,64.84,64.81,64.83,64.81,64.79,64.8,64.8,64.79,64.89 | +| field | 30.03,30.26,30.33,30.32,30.32,30.33,30.35,30.35,30.34,30.35,30.37 | +| armchair | 36.94,37.35,37.36,37.37,37.38,37.4,37.37,37.36,37.38,37.39,37.46 | +| seat | 65.85,66.26,66.31,66.29,66.32,66.36,66.4,66.43,66.45,66.43,66.3 | +| fence | 41.24,40.66,40.68,40.7,40.72,40.73,40.72,40.72,40.74,40.74,40.68 | +| desk | 47.21,47.4,47.38,47.38,47.34,47.35,47.4,47.38,47.39,47.38,47.4 | +| rock | 37.14,36.99,37.04,37.04,37.04,37.04,37.04,37.04,37.03,37.02,37.02 | +| wardrobe | 56.01,56.88,56.84,56.87,56.86,56.85,56.85,56.85,56.89,56.86,56.81 | +| lamp | 62.19,62.89,62.91,62.9,62.91,62.91,62.93,62.9,62.92,62.9,62.95 | +| bathtub | 76.06,77.46,77.31,77.31,77.36,77.52,77.74,77.89,77.85,77.59,77.8 | +| railing | 33.28,33.35,33.3,33.28,33.27,33.29,33.3,33.27,33.28,33.3,33.39 | +| cushion | 56.87,58.01,58.06,58.04,58.08,58.08,58.02,58.04,58.03,58.03,58.22 | +| base | 19.08,21.61,21.6,21.61,21.65,21.7,21.66,21.66,21.68,21.67,21.59 | +| box | 23.93,24.3,24.31,24.29,24.28,24.31,24.27,24.28,24.28,24.27,24.34 | +| column | 46.44,46.49,46.57,46.56,46.56,46.55,46.54,46.57,46.59,46.59,46.71 | +| signboard | 37.94,37.75,37.78,37.78,37.76,37.79,37.77,37.76,37.8,37.76,37.84 | +| chest of drawers | 35.76,36.78,37.25,37.3,37.3,37.3,37.33,37.33,37.33,37.32,37.37 | +| counter | 30.94,31.34,31.36,31.35,31.37,31.34,31.34,31.34,31.35,31.32,31.33 | +| sand | 42.49,42.04,42.04,42.03,42.11,42.12,42.13,42.16,42.15,42.15,42.09 | +| sink | 67.9,68.14,68.06,67.94,67.92,67.92,67.92,67.93,67.93,67.92,67.8 | +| skyscraper | 55.22,50.02,50.1,50.07,50.05,49.95,49.7,49.72,49.68,49.67,49.44 | +| fireplace | 74.89,75.06,74.63,74.5,74.43,74.6,74.78,74.97,74.99,74.97,75.15 | +| refrigerator | 75.34,76.69,76.74,76.73,76.77,76.77,76.8,76.78,76.79,76.8,76.53 | +| grandstand | 53.68,54.07,54.11,54.14,54.1,54.11,54.12,54.13,54.1,54.1,53.94 | +| path | 21.55,22.04,22.06,22.13,22.16,22.17,22.15,22.16,22.17,22.16,21.98 | +| stairs | 34.68,32.17,32.06,32.1,32.11,32.04,32.06,32.11,32.06,32.02,32.13 | +| runway | 67.92,68.34,68.31,68.3,68.31,68.32,68.32,68.31,68.31,68.31,68.39 | +| case | 46.24,47.15,47.08,47.04,47.0,47.02,47.05,47.03,47.0,47.03,47.02 | +| pool table | 91.59,91.64,91.65,91.63,91.63,91.65,91.63,91.63,91.64,91.62,91.65 | +| pillow | 59.6,62.97,63.06,63.03,63.02,63.04,63.01,63.02,62.99,63.01,62.99 | +| screen door | 69.55,69.1,69.41,69.48,69.61,69.52,69.53,69.57,69.49,69.51,69.73 | +| stairway | 23.22,22.15,22.18,22.13,22.14,22.14,22.15,22.15,22.17,22.16,22.19 | +| river | 12.26,11.99,11.98,11.98,11.97,11.97,11.97,11.96,11.96,11.96,12.03 | +| bridge | 32.57,32.73,32.77,32.77,32.8,32.82,32.76,32.77,32.77,32.77,32.74 | +| bookcase | 46.93,47.03,47.04,46.99,46.92,46.84,46.88,46.85,46.86,46.82,47.06 | +| blind | 39.96,40.65,40.53,40.46,40.35,40.48,40.54,40.6,40.67,40.55,40.95 | +| coffee table | 53.43,52.68,52.66,52.66,52.7,52.64,52.68,52.66,52.65,52.63,52.45 | +| toilet | 83.45,83.22,83.22,83.21,83.17,83.18,83.15,83.18,83.18,83.19,83.27 | +| flower | 38.82,38.88,38.91,38.82,38.85,38.86,38.82,38.85,38.83,38.83,38.91 | +| book | 45.56,45.89,45.86,45.87,45.86,45.92,45.91,45.89,45.9,45.9,45.9 | +| hill | 16.3,17.02,16.91,16.89,16.87,16.85,16.86,16.86,16.88,16.87,17.06 | +| bench | 44.06,43.36,43.23,43.19,43.19,43.24,43.25,43.25,43.2,43.22,43.35 | +| countertop | 54.15,54.59,54.59,54.71,54.79,54.8,54.75,54.81,54.77,54.75,54.81 | +| stove | 72.27,72.97,72.96,72.91,72.92,72.94,72.94,72.95,72.95,72.94,72.99 | +| palm | 47.23,47.29,47.3,47.3,47.34,47.3,47.34,47.31,47.34,47.33,47.32 | +| kitchen island | 42.13,46.16,46.23,46.22,46.24,46.18,46.28,46.29,46.29,46.27,45.97 | +| computer | 59.63,59.53,59.47,59.45,59.46,59.45,59.46,59.44,59.43,59.45,59.46 | +| swivel chair | 44.03,44.43,44.36,44.37,44.36,44.36,44.35,44.32,44.42,44.34,44.65 | +| boat | 69.05,70.63,70.95,70.98,70.82,70.89,70.91,70.86,70.84,70.86,70.95 | +| bar | 24.19,24.51,24.51,24.51,24.52,24.51,24.51,24.52,24.51,24.52,24.47 | +| arcade machine | 67.26,72.27,72.53,72.5,72.47,72.57,72.53,72.57,72.54,72.6,72.58 | +| hovel | 34.07,31.78,31.83,31.9,31.92,31.94,31.88,31.91,31.9,31.9,31.81 | +| bus | 76.69,78.41,78.6,78.67,78.74,78.86,78.89,78.89,78.91,78.87,79.12 | +| towel | 62.67,63.65,63.49,63.52,63.56,63.53,63.53,63.52,63.53,63.56,63.62 | +| light | 55.72,56.28,56.2,56.26,56.24,56.22,56.19,56.2,56.2,56.22,56.29 | +| truck | 18.19,19.15,19.58,19.67,19.67,19.67,19.62,19.63,19.61,19.62,19.89 | +| tower | 6.79,6.74,6.75,6.75,6.76,6.77,6.76,6.77,6.78,6.76,6.75 | +| chandelier | 65.3,66.87,66.88,66.88,66.86,66.8,66.85,66.84,66.84,66.86,66.89 | +| awning | 21.39,23.29,23.37,23.41,23.35,23.34,23.34,23.36,23.36,23.34,23.47 | +| streetlight | 26.82,27.99,28.08,28.05,28.07,28.06,28.09,28.05,28.06,28.09,27.99 | +| booth | 41.58,43.34,43.37,43.34,43.33,43.3,43.34,43.33,43.35,43.37,43.21 | +| television receiver | 65.54,65.33,65.31,65.27,65.27,65.26,65.3,65.29,65.33,65.31,65.27 | +| airplane | 58.33,58.62,58.67,58.65,58.7,58.69,58.68,58.69,58.7,58.69,58.72 | +| dirt track | 18.08,20.24,20.37,20.35,20.32,20.33,20.38,20.36,20.35,20.34,20.18 | +| apparel | 35.22,35.55,35.41,35.19,35.19,35.1,35.05,35.06,35.07,35.05,35.48 | +| pole | 18.14,18.91,19.05,19.06,18.97,19.13,19.24,19.0,19.14,19.2,19.07 | +| land | 4.35,4.19,4.2,4.13,4.12,4.13,4.14,4.14,4.13,4.13,4.16 | +| bannister | 12.53,13.41,13.44,13.31,13.37,13.37,13.4,13.42,13.41,13.41,13.37 | +| escalator | 24.19,24.93,24.98,24.95,24.98,25.01,24.99,25.0,24.98,25.0,24.98 | +| ottoman | 40.66,40.61,40.67,40.6,40.65,40.63,40.71,40.69,40.74,40.74,40.2 | +| bottle | 35.97,36.51,36.47,36.49,36.48,36.5,36.53,36.49,36.48,36.48,36.55 | +| buffet | 35.78,35.92,37.37,37.23,37.02,36.96,36.88,36.85,36.77,36.9,37.3 | +| poster | 21.35,21.33,21.35,21.35,21.37,21.36,21.35,21.36,21.34,21.35,21.07 | +| stage | 13.67,14.27,14.29,14.28,14.29,14.28,14.3,14.3,14.3,14.3,14.33 | +| van | 36.99,37.45,37.22,37.27,37.3,37.32,37.21,37.19,37.18,37.19,37.31 | +| ship | 78.06,75.94,75.67,75.66,75.64,75.63,75.67,75.65,75.64,75.64,75.63 | +| fountain | 19.79,20.86,20.85,20.87,20.84,20.88,20.85,20.84,20.85,20.82,20.89 | +| conveyer belt | 85.7,85.34,85.38,85.34,85.3,85.35,85.36,85.38,85.37,85.33,85.42 | +| canopy | 26.69,25.9,25.68,25.81,25.71,25.76,25.66,25.65,25.62,25.66,25.6 | +| washer | 77.32,77.96,77.86,77.9,77.92,77.95,77.9,77.89,77.98,77.93,77.95 | +| plaything | 21.05,21.65,21.66,21.68,21.68,21.69,21.66,21.64,21.66,21.65,21.73 | +| swimming pool | 74.37,77.22,77.33,77.37,77.41,77.43,77.37,77.34,77.45,77.43,77.32 | +| stool | 44.52,45.29,45.38,45.32,45.37,45.39,45.38,45.39,45.34,45.32,45.37 | +| barrel | 47.73,50.52,50.55,50.34,50.33,50.63,50.44,50.32,50.51,50.24,53.85 | +| basket | 24.92,25.16,25.12,25.15,25.15,25.09,25.15,25.15,25.16,25.1,25.31 | +| waterfall | 50.65,49.19,49.2,49.23,49.37,49.31,49.3,49.32,49.3,49.32,48.96 | +| tent | 95.21,95.12,95.13,95.13,95.13,95.12,95.13,95.14,95.14,95.12,95.05 | +| bag | 15.46,15.68,15.69,15.71,15.71,15.7,15.71,15.7,15.69,15.68,15.69 | +| minibike | 62.93,62.96,63.02,62.97,63.0,63.01,62.96,62.98,62.97,62.99,62.8 | +| cradle | 85.3,85.86,85.86,85.81,85.77,85.78,85.75,85.74,85.74,85.76,85.78 | +| oven | 44.23,45.58,45.6,45.65,45.64,45.62,45.67,45.67,45.66,45.62,45.81 | +| ball | 40.84,42.72,42.73,42.87,42.88,42.8,42.76,42.77,42.76,42.82,43.02 | +| food | 53.89,54.2,54.23,54.19,54.3,54.28,54.22,54.18,54.23,54.32,54.33 | +| step | 7.17,6.9,6.86,6.84,6.85,6.88,6.83,6.85,6.83,6.84,6.86 | +| tank | 51.55,52.0,51.9,51.99,51.92,52.01,52.13,52.26,52.0,51.79,51.7 | +| trade name | 26.69,27.14,27.17,27.14,27.21,27.28,27.19,27.19,27.22,27.21,27.31 | +| microwave | 70.1,71.43,71.41,71.43,71.4,71.42,71.46,71.45,71.5,71.5,71.49 | +| pot | 30.88,30.55,30.56,30.56,30.54,30.52,30.52,30.54,30.53,30.53,30.42 | +| animal | 53.91,54.53,55.06,55.09,55.05,55.1,55.09,55.1,55.07,55.08,55.06 | +| bicycle | 53.35,54.81,54.92,54.91,54.8,54.91,54.9,54.9,54.88,54.91,54.89 | +| lake | 57.96,58.01,57.96,57.92,57.87,57.86,57.86,57.86,57.86,57.85,58.04 | +| dishwasher | 67.85,67.92,67.68,67.6,67.74,67.72,67.67,67.7,67.68,67.65,68.04 | +| screen | 68.81,64.51,64.45,64.5,64.51,64.51,64.42,64.37,64.54,64.45,64.65 | +| blanket | 19.93,21.26,21.31,21.2,21.21,21.27,21.3,21.34,21.27,21.32,21.09 | +| sculpture | 56.17,56.38,56.3,56.29,56.34,56.31,56.38,56.45,56.44,56.29,56.29 | +| hood | 61.05,60.74,60.57,60.64,60.61,60.64,60.63,60.63,60.69,60.59,60.52 | +| sconce | 43.11,43.49,43.42,43.41,43.43,43.37,43.48,43.44,43.42,43.43,43.35 | +| vase | 37.15,38.47,38.47,38.44,38.46,38.42,38.36,38.39,38.39,38.39,38.63 | +| traffic light | 33.76,33.43,33.47,33.5,33.48,33.47,33.45,33.44,33.47,33.46,33.47 | +| tray | 8.59,8.31,8.29,8.27,8.29,8.3,8.23,8.26,8.25,8.24,8.12 | +| ashcan | 41.16,40.39,40.36,40.31,40.27,40.27,40.29,40.38,40.24,40.26,39.97 | +| fan | 57.55,58.38,58.4,58.52,58.46,58.52,58.41,58.43,58.46,58.45,58.45 | +| pier | 47.36,43.39,44.05,43.39,42.69,44.3,44.18,44.32,44.21,44.19,42.72 | +| crt screen | 9.22,12.93,12.91,12.98,13.02,13.08,13.02,13.06,13.04,13.07,12.97 | +| plate | 52.49,53.24,53.29,53.34,53.4,53.41,53.36,53.36,53.32,53.35,53.31 | +| monitor | 37.01,44.05,44.26,44.78,45.14,45.33,44.89,44.95,45.05,45.05,43.83 | +| bulletin board | 37.58,38.37,38.29,38.27,38.5,38.42,38.4,38.47,38.34,38.5,38.21 | +| shower | 1.96,2.09,2.1,2.08,2.09,2.06,2.11,2.09,2.07,2.1,2.09 | +| radiator | 63.9,65.65,65.68,66.03,66.01,66.09,66.06,66.03,66.0,65.85,66.06 | +| glass | 13.75,13.32,13.29,13.22,13.26,13.26,13.25,13.3,13.27,13.28,13.24 | +| clock | 37.94,37.87,37.74,37.81,37.73,37.78,37.68,37.7,37.74,37.69,38.03 | +| flag | 36.0,35.74,35.66,35.7,35.7,35.71,35.69,35.64,35.69,35.69,35.73 | ++---------------------+-------------------------------------------------------------------+ +2023-03-05 07:24:54,132 - mmseg - INFO - Summary: +2023-03-05 07:24:54,132 - mmseg - INFO - ++------------------------------------------------------------------+ +| mIoU 0,10,20,30,40,50,60,70,80,90,99 | ++------------------------------------------------------------------+ +| 48.69,49.1,49.12,49.11,49.11,49.13,49.13,49.13,49.13,49.12,49.14 | ++------------------------------------------------------------------+ +2023-03-05 07:24:54,132 - mmseg - INFO - Exp name: ablation_segformer_mit_b2_segformer_head_unet_fc_small_multi_step_ade_pretrained_freeze_embed_160k_ade20k151_mask_finetune_maskonly.py +2023-03-05 07:24:54,132 - mmseg - INFO - Iter(val) [250] mIoU: [0.4869, 0.491, 0.4912, 0.4911, 0.4911, 0.4913, 0.4913, 0.4913, 0.4913, 0.4912, 0.4914], copy_paste: 48.69,49.1,49.12,49.11,49.11,49.13,49.13,49.13,49.13,49.12,49.14 +2023-03-05 07:24:54,140 - mmseg - INFO - Swap parameters (before train) before iter [144001] +2023-03-05 07:25:04,407 - mmseg - INFO - Iter [144050/160000] lr: 1.172e-06, eta: 1:03:34, time: 13.233, data_time: 13.035, memory: 52540, decode.loss_ce: 0.1825, decode.acc_seg: 92.5148, loss: 0.1825 +2023-03-05 07:25:13,977 - mmseg - INFO - Iter [144100/160000] lr: 1.172e-06, eta: 1:03:21, time: 0.191, data_time: 0.008, memory: 52540, decode.loss_ce: 0.1769, decode.acc_seg: 92.6621, loss: 0.1769 +2023-03-05 07:25:23,445 - mmseg - INFO - Iter [144150/160000] lr: 1.172e-06, eta: 1:03:09, time: 0.189, data_time: 0.008, memory: 52540, decode.loss_ce: 0.1847, decode.acc_seg: 92.5167, loss: 0.1847 +2023-03-05 07:25:32,987 - mmseg - INFO - Iter [144200/160000] lr: 1.172e-06, eta: 1:02:57, time: 0.191, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1825, decode.acc_seg: 92.5100, loss: 0.1825 +2023-03-05 07:25:42,749 - mmseg - INFO - Iter [144250/160000] lr: 1.172e-06, eta: 1:02:45, time: 0.195, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1808, decode.acc_seg: 92.6706, loss: 0.1808 +2023-03-05 07:25:52,173 - mmseg - INFO - Iter [144300/160000] lr: 1.172e-06, eta: 1:02:33, time: 0.188, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1774, decode.acc_seg: 92.7662, loss: 0.1774 +2023-03-05 07:26:01,563 - mmseg - INFO - Iter [144350/160000] lr: 1.172e-06, eta: 1:02:20, time: 0.188, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1903, decode.acc_seg: 92.3058, loss: 0.1903 +2023-03-05 07:26:11,012 - mmseg - INFO - Iter [144400/160000] lr: 1.172e-06, eta: 1:02:08, time: 0.189, data_time: 0.008, memory: 52540, decode.loss_ce: 0.1808, decode.acc_seg: 92.5174, loss: 0.1808 +2023-03-05 07:26:20,564 - mmseg - INFO - Iter [144450/160000] lr: 1.172e-06, eta: 1:01:56, time: 0.191, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1886, decode.acc_seg: 92.3631, loss: 0.1886 +2023-03-05 07:26:32,784 - mmseg - INFO - Iter [144500/160000] lr: 1.172e-06, eta: 1:01:44, time: 0.244, data_time: 0.055, memory: 52540, decode.loss_ce: 0.1805, decode.acc_seg: 92.5412, loss: 0.1805 +2023-03-05 07:26:42,687 - mmseg - INFO - Iter [144550/160000] lr: 1.172e-06, eta: 1:01:32, time: 0.198, data_time: 0.008, memory: 52540, decode.loss_ce: 0.1823, decode.acc_seg: 92.4899, loss: 0.1823 +2023-03-05 07:26:52,194 - mmseg - INFO - Iter [144600/160000] lr: 1.172e-06, eta: 1:01:20, time: 0.190, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1784, decode.acc_seg: 92.6358, loss: 0.1784 +2023-03-05 07:27:02,255 - mmseg - INFO - Iter [144650/160000] lr: 1.172e-06, eta: 1:01:07, time: 0.201, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1809, decode.acc_seg: 92.4475, loss: 0.1809 +2023-03-05 07:27:12,028 - mmseg - INFO - Iter [144700/160000] lr: 1.172e-06, eta: 1:00:55, time: 0.195, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1743, decode.acc_seg: 92.7495, loss: 0.1743 +2023-03-05 07:27:21,789 - mmseg - INFO - Iter [144750/160000] lr: 1.172e-06, eta: 1:00:43, time: 0.195, data_time: 0.008, memory: 52540, decode.loss_ce: 0.1929, decode.acc_seg: 92.2110, loss: 0.1929 +2023-03-05 07:27:31,463 - mmseg - INFO - Iter [144800/160000] lr: 1.172e-06, eta: 1:00:31, time: 0.193, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1780, decode.acc_seg: 92.5833, loss: 0.1780 +2023-03-05 07:27:41,025 - mmseg - INFO - Iter [144850/160000] lr: 1.172e-06, eta: 1:00:19, time: 0.191, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1891, decode.acc_seg: 92.2827, loss: 0.1891 +2023-03-05 07:27:50,916 - mmseg - INFO - Iter [144900/160000] lr: 1.172e-06, eta: 1:00:07, time: 0.198, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1941, decode.acc_seg: 92.2748, loss: 0.1941 +2023-03-05 07:28:00,349 - mmseg - INFO - Iter [144950/160000] lr: 1.172e-06, eta: 0:59:54, time: 0.189, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1784, decode.acc_seg: 92.5676, loss: 0.1784 +2023-03-05 07:28:09,852 - mmseg - INFO - Exp name: ablation_segformer_mit_b2_segformer_head_unet_fc_small_multi_step_ade_pretrained_freeze_embed_160k_ade20k151_mask_finetune_maskonly.py +2023-03-05 07:28:09,852 - mmseg - INFO - Iter [145000/160000] lr: 1.172e-06, eta: 0:59:42, time: 0.190, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1783, decode.acc_seg: 92.6216, loss: 0.1783 +2023-03-05 07:28:19,746 - mmseg - INFO - Iter [145050/160000] lr: 1.172e-06, eta: 0:59:30, time: 0.198, data_time: 0.008, memory: 52540, decode.loss_ce: 0.1865, decode.acc_seg: 92.3136, loss: 0.1865 +2023-03-05 07:28:29,690 - mmseg - INFO - Iter [145100/160000] lr: 1.172e-06, eta: 0:59:18, time: 0.199, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1887, decode.acc_seg: 92.3344, loss: 0.1887 +2023-03-05 07:28:41,765 - mmseg - INFO - Iter [145150/160000] lr: 1.172e-06, eta: 0:59:06, time: 0.241, data_time: 0.054, memory: 52540, decode.loss_ce: 0.1802, decode.acc_seg: 92.5652, loss: 0.1802 +2023-03-05 07:28:51,536 - mmseg - INFO - Iter [145200/160000] lr: 1.172e-06, eta: 0:58:54, time: 0.195, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1816, decode.acc_seg: 92.4016, loss: 0.1816 +2023-03-05 07:29:01,213 - mmseg - INFO - Iter [145250/160000] lr: 1.172e-06, eta: 0:58:42, time: 0.194, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1850, decode.acc_seg: 92.4015, loss: 0.1850 +2023-03-05 07:29:10,679 - mmseg - INFO - Iter [145300/160000] lr: 1.172e-06, eta: 0:58:29, time: 0.189, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1798, decode.acc_seg: 92.5406, loss: 0.1798 +2023-03-05 07:29:20,092 - mmseg - INFO - Iter [145350/160000] lr: 1.172e-06, eta: 0:58:17, time: 0.188, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1753, decode.acc_seg: 92.7718, loss: 0.1753 +2023-03-05 07:29:29,548 - mmseg - INFO - Iter [145400/160000] lr: 1.172e-06, eta: 0:58:05, time: 0.189, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1928, decode.acc_seg: 92.2570, loss: 0.1928 +2023-03-05 07:29:39,362 - mmseg - INFO - Iter [145450/160000] lr: 1.172e-06, eta: 0:57:53, time: 0.196, data_time: 0.008, memory: 52540, decode.loss_ce: 0.1815, decode.acc_seg: 92.5683, loss: 0.1815 +2023-03-05 07:29:49,105 - mmseg - INFO - Iter [145500/160000] lr: 1.172e-06, eta: 0:57:41, time: 0.195, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1889, decode.acc_seg: 92.3180, loss: 0.1889 +2023-03-05 07:29:58,878 - mmseg - INFO - Iter [145550/160000] lr: 1.172e-06, eta: 0:57:29, time: 0.196, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1806, decode.acc_seg: 92.5783, loss: 0.1806 +2023-03-05 07:30:08,351 - mmseg - INFO - Iter [145600/160000] lr: 1.172e-06, eta: 0:57:16, time: 0.189, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1833, decode.acc_seg: 92.5398, loss: 0.1833 +2023-03-05 07:30:17,759 - mmseg - INFO - Iter [145650/160000] lr: 1.172e-06, eta: 0:57:04, time: 0.188, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1834, decode.acc_seg: 92.4104, loss: 0.1834 +2023-03-05 07:30:27,393 - mmseg - INFO - Iter [145700/160000] lr: 1.172e-06, eta: 0:56:52, time: 0.193, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1791, decode.acc_seg: 92.6726, loss: 0.1791 +2023-03-05 07:30:37,128 - mmseg - INFO - Iter [145750/160000] lr: 1.172e-06, eta: 0:56:40, time: 0.194, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1781, decode.acc_seg: 92.6758, loss: 0.1781 +2023-03-05 07:30:49,434 - mmseg - INFO - Iter [145800/160000] lr: 1.172e-06, eta: 0:56:28, time: 0.246, data_time: 0.056, memory: 52540, decode.loss_ce: 0.1759, decode.acc_seg: 92.6857, loss: 0.1759 +2023-03-05 07:30:59,023 - mmseg - INFO - Iter [145850/160000] lr: 1.172e-06, eta: 0:56:16, time: 0.192, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1847, decode.acc_seg: 92.3237, loss: 0.1847 +2023-03-05 07:31:08,587 - mmseg - INFO - Iter [145900/160000] lr: 1.172e-06, eta: 0:56:04, time: 0.191, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1819, decode.acc_seg: 92.5453, loss: 0.1819 +2023-03-05 07:31:18,181 - mmseg - INFO - Iter [145950/160000] lr: 1.172e-06, eta: 0:55:52, time: 0.192, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1763, decode.acc_seg: 92.7080, loss: 0.1763 +2023-03-05 07:31:27,632 - mmseg - INFO - Exp name: ablation_segformer_mit_b2_segformer_head_unet_fc_small_multi_step_ade_pretrained_freeze_embed_160k_ade20k151_mask_finetune_maskonly.py +2023-03-05 07:31:27,632 - mmseg - INFO - Iter [146000/160000] lr: 1.172e-06, eta: 0:55:39, time: 0.189, data_time: 0.008, memory: 52540, decode.loss_ce: 0.1817, decode.acc_seg: 92.3915, loss: 0.1817 +2023-03-05 07:31:37,313 - mmseg - INFO - Iter [146050/160000] lr: 1.172e-06, eta: 0:55:27, time: 0.193, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1788, decode.acc_seg: 92.6175, loss: 0.1788 +2023-03-05 07:31:46,857 - mmseg - INFO - Iter [146100/160000] lr: 1.172e-06, eta: 0:55:15, time: 0.191, data_time: 0.008, memory: 52540, decode.loss_ce: 0.1823, decode.acc_seg: 92.5840, loss: 0.1823 +2023-03-05 07:31:56,638 - mmseg - INFO - Iter [146150/160000] lr: 1.172e-06, eta: 0:55:03, time: 0.196, data_time: 0.008, memory: 52540, decode.loss_ce: 0.1834, decode.acc_seg: 92.4775, loss: 0.1834 +2023-03-05 07:32:06,449 - mmseg - INFO - Iter [146200/160000] lr: 1.172e-06, eta: 0:54:51, time: 0.196, data_time: 0.008, memory: 52540, decode.loss_ce: 0.1845, decode.acc_seg: 92.5408, loss: 0.1845 +2023-03-05 07:32:16,411 - mmseg - INFO - Iter [146250/160000] lr: 1.172e-06, eta: 0:54:39, time: 0.199, data_time: 0.008, memory: 52540, decode.loss_ce: 0.1809, decode.acc_seg: 92.5889, loss: 0.1809 +2023-03-05 07:32:25,892 - mmseg - INFO - Iter [146300/160000] lr: 1.172e-06, eta: 0:54:27, time: 0.190, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1853, decode.acc_seg: 92.5529, loss: 0.1853 +2023-03-05 07:32:35,528 - mmseg - INFO - Iter [146350/160000] lr: 1.172e-06, eta: 0:54:14, time: 0.193, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1837, decode.acc_seg: 92.3841, loss: 0.1837 +2023-03-05 07:32:47,798 - mmseg - INFO - Iter [146400/160000] lr: 1.172e-06, eta: 0:54:03, time: 0.245, data_time: 0.056, memory: 52540, decode.loss_ce: 0.1718, decode.acc_seg: 93.0042, loss: 0.1718 +2023-03-05 07:32:57,537 - mmseg - INFO - Iter [146450/160000] lr: 1.172e-06, eta: 0:53:50, time: 0.195, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1870, decode.acc_seg: 92.3841, loss: 0.1870 +2023-03-05 07:33:07,057 - mmseg - INFO - Iter [146500/160000] lr: 1.172e-06, eta: 0:53:38, time: 0.190, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1838, decode.acc_seg: 92.4047, loss: 0.1838 +2023-03-05 07:33:16,604 - mmseg - INFO - Iter [146550/160000] lr: 1.172e-06, eta: 0:53:26, time: 0.191, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1788, decode.acc_seg: 92.6286, loss: 0.1788 +2023-03-05 07:33:26,050 - mmseg - INFO - Iter [146600/160000] lr: 1.172e-06, eta: 0:53:14, time: 0.189, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1835, decode.acc_seg: 92.5306, loss: 0.1835 +2023-03-05 07:33:35,615 - mmseg - INFO - Iter [146650/160000] lr: 1.172e-06, eta: 0:53:02, time: 0.191, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1848, decode.acc_seg: 92.4192, loss: 0.1848 +2023-03-05 07:33:45,245 - mmseg - INFO - Iter [146700/160000] lr: 1.172e-06, eta: 0:52:50, time: 0.193, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1845, decode.acc_seg: 92.5212, loss: 0.1845 +2023-03-05 07:33:54,811 - mmseg - INFO - Iter [146750/160000] lr: 1.172e-06, eta: 0:52:38, time: 0.191, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1857, decode.acc_seg: 92.4238, loss: 0.1857 +2023-03-05 07:34:04,552 - mmseg - INFO - Iter [146800/160000] lr: 1.172e-06, eta: 0:52:26, time: 0.195, data_time: 0.008, memory: 52540, decode.loss_ce: 0.1778, decode.acc_seg: 92.7054, loss: 0.1778 +2023-03-05 07:34:14,153 - mmseg - INFO - Iter [146850/160000] lr: 1.172e-06, eta: 0:52:13, time: 0.192, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1815, decode.acc_seg: 92.4787, loss: 0.1815 +2023-03-05 07:34:23,809 - mmseg - INFO - Iter [146900/160000] lr: 1.172e-06, eta: 0:52:01, time: 0.193, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1841, decode.acc_seg: 92.4950, loss: 0.1841 +2023-03-05 07:34:33,486 - mmseg - INFO - Iter [146950/160000] lr: 1.172e-06, eta: 0:51:49, time: 0.194, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1776, decode.acc_seg: 92.6992, loss: 0.1776 +2023-03-05 07:34:43,111 - mmseg - INFO - Exp name: ablation_segformer_mit_b2_segformer_head_unet_fc_small_multi_step_ade_pretrained_freeze_embed_160k_ade20k151_mask_finetune_maskonly.py +2023-03-05 07:34:43,111 - mmseg - INFO - Iter [147000/160000] lr: 1.172e-06, eta: 0:51:37, time: 0.192, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1799, decode.acc_seg: 92.6022, loss: 0.1799 +2023-03-05 07:34:55,327 - mmseg - INFO - Iter [147050/160000] lr: 1.172e-06, eta: 0:51:25, time: 0.244, data_time: 0.053, memory: 52540, decode.loss_ce: 0.1769, decode.acc_seg: 92.7647, loss: 0.1769 +2023-03-05 07:35:05,015 - mmseg - INFO - Iter [147100/160000] lr: 1.172e-06, eta: 0:51:13, time: 0.194, data_time: 0.008, memory: 52540, decode.loss_ce: 0.1879, decode.acc_seg: 92.2307, loss: 0.1879 +2023-03-05 07:35:14,517 - mmseg - INFO - Iter [147150/160000] lr: 1.172e-06, eta: 0:51:01, time: 0.190, data_time: 0.008, memory: 52540, decode.loss_ce: 0.1757, decode.acc_seg: 92.6329, loss: 0.1757 +2023-03-05 07:35:23,949 - mmseg - INFO - Iter [147200/160000] lr: 1.172e-06, eta: 0:50:49, time: 0.189, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1781, decode.acc_seg: 92.7219, loss: 0.1781 +2023-03-05 07:35:33,585 - mmseg - INFO - Iter [147250/160000] lr: 1.172e-06, eta: 0:50:37, time: 0.193, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1789, decode.acc_seg: 92.5730, loss: 0.1789 +2023-03-05 07:35:43,293 - mmseg - INFO - Iter [147300/160000] lr: 1.172e-06, eta: 0:50:25, time: 0.194, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1850, decode.acc_seg: 92.4225, loss: 0.1850 +2023-03-05 07:35:53,122 - mmseg - INFO - Iter [147350/160000] lr: 1.172e-06, eta: 0:50:12, time: 0.197, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1862, decode.acc_seg: 92.3074, loss: 0.1862 +2023-03-05 07:36:02,598 - mmseg - INFO - Iter [147400/160000] lr: 1.172e-06, eta: 0:50:00, time: 0.190, data_time: 0.008, memory: 52540, decode.loss_ce: 0.1753, decode.acc_seg: 92.6642, loss: 0.1753 +2023-03-05 07:36:12,322 - mmseg - INFO - Iter [147450/160000] lr: 1.172e-06, eta: 0:49:48, time: 0.194, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1774, decode.acc_seg: 92.7106, loss: 0.1774 +2023-03-05 07:36:21,939 - mmseg - INFO - Iter [147500/160000] lr: 1.172e-06, eta: 0:49:36, time: 0.193, data_time: 0.008, memory: 52540, decode.loss_ce: 0.1852, decode.acc_seg: 92.5513, loss: 0.1852 +2023-03-05 07:36:31,568 - mmseg - INFO - Iter [147550/160000] lr: 1.172e-06, eta: 0:49:24, time: 0.193, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1886, decode.acc_seg: 92.2841, loss: 0.1886 +2023-03-05 07:36:41,119 - mmseg - INFO - Iter [147600/160000] lr: 1.172e-06, eta: 0:49:12, time: 0.191, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1902, decode.acc_seg: 92.3132, loss: 0.1902 +2023-03-05 07:36:50,733 - mmseg - INFO - Iter [147650/160000] lr: 1.172e-06, eta: 0:49:00, time: 0.192, data_time: 0.008, memory: 52540, decode.loss_ce: 0.1727, decode.acc_seg: 92.8274, loss: 0.1727 +2023-03-05 07:37:02,991 - mmseg - INFO - Iter [147700/160000] lr: 1.172e-06, eta: 0:48:48, time: 0.245, data_time: 0.059, memory: 52540, decode.loss_ce: 0.1806, decode.acc_seg: 92.6700, loss: 0.1806 +2023-03-05 07:37:12,497 - mmseg - INFO - Iter [147750/160000] lr: 1.172e-06, eta: 0:48:36, time: 0.190, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1807, decode.acc_seg: 92.6005, loss: 0.1807 +2023-03-05 07:37:22,264 - mmseg - INFO - Iter [147800/160000] lr: 1.172e-06, eta: 0:48:24, time: 0.195, data_time: 0.008, memory: 52540, decode.loss_ce: 0.1807, decode.acc_seg: 92.5997, loss: 0.1807 +2023-03-05 07:37:32,093 - mmseg - INFO - Iter [147850/160000] lr: 1.172e-06, eta: 0:48:12, time: 0.197, data_time: 0.008, memory: 52540, decode.loss_ce: 0.1711, decode.acc_seg: 92.9108, loss: 0.1711 +2023-03-05 07:37:41,969 - mmseg - INFO - Iter [147900/160000] lr: 1.172e-06, eta: 0:48:00, time: 0.198, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1856, decode.acc_seg: 92.4468, loss: 0.1856 +2023-03-05 07:37:51,797 - mmseg - INFO - Iter [147950/160000] lr: 1.172e-06, eta: 0:47:48, time: 0.197, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1841, decode.acc_seg: 92.4835, loss: 0.1841 +2023-03-05 07:38:01,303 - mmseg - INFO - Exp name: ablation_segformer_mit_b2_segformer_head_unet_fc_small_multi_step_ade_pretrained_freeze_embed_160k_ade20k151_mask_finetune_maskonly.py +2023-03-05 07:38:01,303 - mmseg - INFO - Iter [148000/160000] lr: 1.172e-06, eta: 0:47:36, time: 0.190, data_time: 0.008, memory: 52540, decode.loss_ce: 0.1907, decode.acc_seg: 92.1640, loss: 0.1907 +2023-03-05 07:38:11,007 - mmseg - INFO - Iter [148050/160000] lr: 1.172e-06, eta: 0:47:23, time: 0.194, data_time: 0.008, memory: 52540, decode.loss_ce: 0.1829, decode.acc_seg: 92.4810, loss: 0.1829 +2023-03-05 07:38:21,025 - mmseg - INFO - Iter [148100/160000] lr: 1.172e-06, eta: 0:47:11, time: 0.201, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1748, decode.acc_seg: 92.7182, loss: 0.1748 +2023-03-05 07:38:30,646 - mmseg - INFO - Iter [148150/160000] lr: 1.172e-06, eta: 0:46:59, time: 0.192, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1884, decode.acc_seg: 92.3330, loss: 0.1884 +2023-03-05 07:38:40,494 - mmseg - INFO - Iter [148200/160000] lr: 1.172e-06, eta: 0:46:47, time: 0.197, data_time: 0.008, memory: 52540, decode.loss_ce: 0.1814, decode.acc_seg: 92.4375, loss: 0.1814 +2023-03-05 07:38:50,158 - mmseg - INFO - Iter [148250/160000] lr: 1.172e-06, eta: 0:46:35, time: 0.193, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1867, decode.acc_seg: 92.3387, loss: 0.1867 +2023-03-05 07:39:02,488 - mmseg - INFO - Iter [148300/160000] lr: 1.172e-06, eta: 0:46:23, time: 0.247, data_time: 0.058, memory: 52540, decode.loss_ce: 0.1846, decode.acc_seg: 92.4823, loss: 0.1846 +2023-03-05 07:39:12,001 - mmseg - INFO - Iter [148350/160000] lr: 1.172e-06, eta: 0:46:11, time: 0.190, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1788, decode.acc_seg: 92.6364, loss: 0.1788 +2023-03-05 07:39:21,697 - mmseg - INFO - Iter [148400/160000] lr: 1.172e-06, eta: 0:45:59, time: 0.194, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1828, decode.acc_seg: 92.6379, loss: 0.1828 +2023-03-05 07:39:31,385 - mmseg - INFO - Iter [148450/160000] lr: 1.172e-06, eta: 0:45:47, time: 0.194, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1853, decode.acc_seg: 92.5258, loss: 0.1853 +2023-03-05 07:39:41,318 - mmseg - INFO - Iter [148500/160000] lr: 1.172e-06, eta: 0:45:35, time: 0.199, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1797, decode.acc_seg: 92.4459, loss: 0.1797 +2023-03-05 07:39:50,944 - mmseg - INFO - Iter [148550/160000] lr: 1.172e-06, eta: 0:45:23, time: 0.192, data_time: 0.008, memory: 52540, decode.loss_ce: 0.1872, decode.acc_seg: 92.3462, loss: 0.1872 +2023-03-05 07:40:00,883 - mmseg - INFO - Iter [148600/160000] lr: 1.172e-06, eta: 0:45:11, time: 0.199, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1829, decode.acc_seg: 92.5509, loss: 0.1829 +2023-03-05 07:40:10,321 - mmseg - INFO - Iter [148650/160000] lr: 1.172e-06, eta: 0:44:59, time: 0.189, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1773, decode.acc_seg: 92.5816, loss: 0.1773 +2023-03-05 07:40:19,855 - mmseg - INFO - Iter [148700/160000] lr: 1.172e-06, eta: 0:44:47, time: 0.191, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1802, decode.acc_seg: 92.6047, loss: 0.1802 +2023-03-05 07:40:29,393 - mmseg - INFO - Iter [148750/160000] lr: 1.172e-06, eta: 0:44:35, time: 0.191, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1886, decode.acc_seg: 92.3590, loss: 0.1886 +2023-03-05 07:40:38,892 - mmseg - INFO - Iter [148800/160000] lr: 1.172e-06, eta: 0:44:23, time: 0.190, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1773, decode.acc_seg: 92.6121, loss: 0.1773 +2023-03-05 07:40:48,762 - mmseg - INFO - Iter [148850/160000] lr: 1.172e-06, eta: 0:44:11, time: 0.198, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1777, decode.acc_seg: 92.6055, loss: 0.1777 +2023-03-05 07:40:58,440 - mmseg - INFO - Iter [148900/160000] lr: 1.172e-06, eta: 0:43:59, time: 0.194, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1804, decode.acc_seg: 92.5146, loss: 0.1804 +2023-03-05 07:41:10,555 - mmseg - INFO - Iter [148950/160000] lr: 1.172e-06, eta: 0:43:47, time: 0.242, data_time: 0.056, memory: 52540, decode.loss_ce: 0.1861, decode.acc_seg: 92.5779, loss: 0.1861 +2023-03-05 07:41:19,978 - mmseg - INFO - Exp name: ablation_segformer_mit_b2_segformer_head_unet_fc_small_multi_step_ade_pretrained_freeze_embed_160k_ade20k151_mask_finetune_maskonly.py +2023-03-05 07:41:19,979 - mmseg - INFO - Iter [149000/160000] lr: 1.172e-06, eta: 0:43:35, time: 0.188, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1845, decode.acc_seg: 92.4521, loss: 0.1845 +2023-03-05 07:41:29,662 - mmseg - INFO - Iter [149050/160000] lr: 1.172e-06, eta: 0:43:23, time: 0.194, data_time: 0.008, memory: 52540, decode.loss_ce: 0.1798, decode.acc_seg: 92.5763, loss: 0.1798 +2023-03-05 07:41:39,292 - mmseg - INFO - Iter [149100/160000] lr: 1.172e-06, eta: 0:43:11, time: 0.193, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1754, decode.acc_seg: 92.8202, loss: 0.1754 +2023-03-05 07:41:49,007 - mmseg - INFO - Iter [149150/160000] lr: 1.172e-06, eta: 0:42:58, time: 0.194, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1833, decode.acc_seg: 92.4632, loss: 0.1833 +2023-03-05 07:41:58,611 - mmseg - INFO - Iter [149200/160000] lr: 1.172e-06, eta: 0:42:46, time: 0.192, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1800, decode.acc_seg: 92.6965, loss: 0.1800 +2023-03-05 07:42:08,125 - mmseg - INFO - Iter [149250/160000] lr: 1.172e-06, eta: 0:42:34, time: 0.190, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1806, decode.acc_seg: 92.6559, loss: 0.1806 +2023-03-05 07:42:17,638 - mmseg - INFO - Iter [149300/160000] lr: 1.172e-06, eta: 0:42:22, time: 0.190, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1848, decode.acc_seg: 92.3934, loss: 0.1848 +2023-03-05 07:42:27,232 - mmseg - INFO - Iter [149350/160000] lr: 1.172e-06, eta: 0:42:10, time: 0.192, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1806, decode.acc_seg: 92.4839, loss: 0.1806 +2023-03-05 07:42:36,810 - mmseg - INFO - Iter [149400/160000] lr: 1.172e-06, eta: 0:41:58, time: 0.192, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1801, decode.acc_seg: 92.6143, loss: 0.1801 +2023-03-05 07:42:46,296 - mmseg - INFO - Iter [149450/160000] lr: 1.172e-06, eta: 0:41:46, time: 0.190, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1894, decode.acc_seg: 92.2634, loss: 0.1894 +2023-03-05 07:42:55,725 - mmseg - INFO - Iter [149500/160000] lr: 1.172e-06, eta: 0:41:34, time: 0.189, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1786, decode.acc_seg: 92.5625, loss: 0.1786 +2023-03-05 07:43:07,789 - mmseg - INFO - Iter [149550/160000] lr: 1.172e-06, eta: 0:41:22, time: 0.241, data_time: 0.055, memory: 52540, decode.loss_ce: 0.1825, decode.acc_seg: 92.5423, loss: 0.1825 +2023-03-05 07:43:17,400 - mmseg - INFO - Iter [149600/160000] lr: 1.172e-06, eta: 0:41:10, time: 0.192, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1812, decode.acc_seg: 92.5233, loss: 0.1812 +2023-03-05 07:43:26,895 - mmseg - INFO - Iter [149650/160000] lr: 1.172e-06, eta: 0:40:58, time: 0.190, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1782, decode.acc_seg: 92.6855, loss: 0.1782 +2023-03-05 07:43:36,688 - mmseg - INFO - Iter [149700/160000] lr: 1.172e-06, eta: 0:40:46, time: 0.196, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1848, decode.acc_seg: 92.3387, loss: 0.1848 +2023-03-05 07:43:46,126 - mmseg - INFO - Iter [149750/160000] lr: 1.172e-06, eta: 0:40:34, time: 0.189, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1747, decode.acc_seg: 92.7097, loss: 0.1747 +2023-03-05 07:43:56,034 - mmseg - INFO - Iter [149800/160000] lr: 1.172e-06, eta: 0:40:22, time: 0.198, data_time: 0.008, memory: 52540, decode.loss_ce: 0.1854, decode.acc_seg: 92.3000, loss: 0.1854 +2023-03-05 07:44:05,659 - mmseg - INFO - Iter [149850/160000] lr: 1.172e-06, eta: 0:40:10, time: 0.193, data_time: 0.008, memory: 52540, decode.loss_ce: 0.1841, decode.acc_seg: 92.3608, loss: 0.1841 +2023-03-05 07:44:15,544 - mmseg - INFO - Iter [149900/160000] lr: 1.172e-06, eta: 0:39:58, time: 0.198, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1809, decode.acc_seg: 92.5533, loss: 0.1809 +2023-03-05 07:44:25,349 - mmseg - INFO - Iter [149950/160000] lr: 1.172e-06, eta: 0:39:46, time: 0.196, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1904, decode.acc_seg: 92.1760, loss: 0.1904 +2023-03-05 07:44:35,124 - mmseg - INFO - Exp name: ablation_segformer_mit_b2_segformer_head_unet_fc_small_multi_step_ade_pretrained_freeze_embed_160k_ade20k151_mask_finetune_maskonly.py +2023-03-05 07:44:35,124 - mmseg - INFO - Iter [150000/160000] lr: 1.172e-06, eta: 0:39:34, time: 0.196, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1819, decode.acc_seg: 92.4596, loss: 0.1819 +2023-03-05 07:44:44,793 - mmseg - INFO - Iter [150050/160000] lr: 1.172e-06, eta: 0:39:22, time: 0.193, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1859, decode.acc_seg: 92.4970, loss: 0.1859 +2023-03-05 07:44:54,878 - mmseg - INFO - Iter [150100/160000] lr: 1.172e-06, eta: 0:39:10, time: 0.202, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1839, decode.acc_seg: 92.5509, loss: 0.1839 +2023-03-05 07:45:04,349 - mmseg - INFO - Iter [150150/160000] lr: 1.172e-06, eta: 0:38:58, time: 0.189, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1877, decode.acc_seg: 92.3773, loss: 0.1877 +2023-03-05 07:45:16,435 - mmseg - INFO - Iter [150200/160000] lr: 1.172e-06, eta: 0:38:46, time: 0.242, data_time: 0.055, memory: 52540, decode.loss_ce: 0.1875, decode.acc_seg: 92.2260, loss: 0.1875 +2023-03-05 07:45:26,318 - mmseg - INFO - Iter [150250/160000] lr: 1.172e-06, eta: 0:38:34, time: 0.198, data_time: 0.008, memory: 52540, decode.loss_ce: 0.1831, decode.acc_seg: 92.5301, loss: 0.1831 +2023-03-05 07:45:36,011 - mmseg - INFO - Iter [150300/160000] lr: 1.172e-06, eta: 0:38:22, time: 0.194, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1781, decode.acc_seg: 92.7218, loss: 0.1781 +2023-03-05 07:45:45,613 - mmseg - INFO - Iter [150350/160000] lr: 1.172e-06, eta: 0:38:10, time: 0.192, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1807, decode.acc_seg: 92.6018, loss: 0.1807 +2023-03-05 07:45:55,247 - mmseg - INFO - Iter [150400/160000] lr: 1.172e-06, eta: 0:37:58, time: 0.193, data_time: 0.008, memory: 52540, decode.loss_ce: 0.1875, decode.acc_seg: 92.4542, loss: 0.1875 +2023-03-05 07:46:04,798 - mmseg - INFO - Iter [150450/160000] lr: 1.172e-06, eta: 0:37:46, time: 0.191, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1755, decode.acc_seg: 92.7575, loss: 0.1755 +2023-03-05 07:46:14,633 - mmseg - INFO - Iter [150500/160000] lr: 1.172e-06, eta: 0:37:34, time: 0.197, data_time: 0.008, memory: 52540, decode.loss_ce: 0.1796, decode.acc_seg: 92.6167, loss: 0.1796 +2023-03-05 07:46:24,168 - mmseg - INFO - Iter [150550/160000] lr: 1.172e-06, eta: 0:37:22, time: 0.191, data_time: 0.008, memory: 52540, decode.loss_ce: 0.1818, decode.acc_seg: 92.5486, loss: 0.1818 +2023-03-05 07:46:33,835 - mmseg - INFO - Iter [150600/160000] lr: 1.172e-06, eta: 0:37:10, time: 0.193, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1876, decode.acc_seg: 92.3430, loss: 0.1876 +2023-03-05 07:46:43,287 - mmseg - INFO - Iter [150650/160000] lr: 1.172e-06, eta: 0:36:58, time: 0.189, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1852, decode.acc_seg: 92.4114, loss: 0.1852 +2023-03-05 07:46:52,789 - mmseg - INFO - Iter [150700/160000] lr: 1.172e-06, eta: 0:36:46, time: 0.190, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1849, decode.acc_seg: 92.4076, loss: 0.1849 +2023-03-05 07:47:02,221 - mmseg - INFO - Iter [150750/160000] lr: 1.172e-06, eta: 0:36:34, time: 0.189, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1890, decode.acc_seg: 92.3682, loss: 0.1890 +2023-03-05 07:47:12,099 - mmseg - INFO - Iter [150800/160000] lr: 1.172e-06, eta: 0:36:22, time: 0.198, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1841, decode.acc_seg: 92.4456, loss: 0.1841 +2023-03-05 07:47:24,534 - mmseg - INFO - Iter [150850/160000] lr: 1.172e-06, eta: 0:36:10, time: 0.249, data_time: 0.054, memory: 52540, decode.loss_ce: 0.1826, decode.acc_seg: 92.3265, loss: 0.1826 +2023-03-05 07:47:34,142 - mmseg - INFO - Iter [150900/160000] lr: 1.172e-06, eta: 0:35:58, time: 0.192, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1898, decode.acc_seg: 92.3185, loss: 0.1898 +2023-03-05 07:47:43,674 - mmseg - INFO - Iter [150950/160000] lr: 1.172e-06, eta: 0:35:46, time: 0.191, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1807, decode.acc_seg: 92.5898, loss: 0.1807 +2023-03-05 07:47:53,628 - mmseg - INFO - Exp name: ablation_segformer_mit_b2_segformer_head_unet_fc_small_multi_step_ade_pretrained_freeze_embed_160k_ade20k151_mask_finetune_maskonly.py +2023-03-05 07:47:53,628 - mmseg - INFO - Iter [151000/160000] lr: 1.172e-06, eta: 0:35:34, time: 0.199, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1834, decode.acc_seg: 92.2999, loss: 0.1834 +2023-03-05 07:48:03,110 - mmseg - INFO - Iter [151050/160000] lr: 1.172e-06, eta: 0:35:22, time: 0.190, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1783, decode.acc_seg: 92.6613, loss: 0.1783 +2023-03-05 07:48:12,720 - mmseg - INFO - Iter [151100/160000] lr: 1.172e-06, eta: 0:35:10, time: 0.192, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1919, decode.acc_seg: 92.3330, loss: 0.1919 +2023-03-05 07:48:22,186 - mmseg - INFO - Iter [151150/160000] lr: 1.172e-06, eta: 0:34:58, time: 0.189, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1872, decode.acc_seg: 92.3939, loss: 0.1872 +2023-03-05 07:48:31,871 - mmseg - INFO - Iter [151200/160000] lr: 1.172e-06, eta: 0:34:46, time: 0.193, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1798, decode.acc_seg: 92.6508, loss: 0.1798 +2023-03-05 07:48:41,537 - mmseg - INFO - Iter [151250/160000] lr: 1.172e-06, eta: 0:34:34, time: 0.194, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1864, decode.acc_seg: 92.3278, loss: 0.1864 +2023-03-05 07:48:51,438 - mmseg - INFO - Iter [151300/160000] lr: 1.172e-06, eta: 0:34:22, time: 0.198, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1856, decode.acc_seg: 92.4210, loss: 0.1856 +2023-03-05 07:49:01,461 - mmseg - INFO - Iter [151350/160000] lr: 1.172e-06, eta: 0:34:10, time: 0.200, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1844, decode.acc_seg: 92.3474, loss: 0.1844 +2023-03-05 07:49:10,905 - mmseg - INFO - Iter [151400/160000] lr: 1.172e-06, eta: 0:33:58, time: 0.189, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1862, decode.acc_seg: 92.4300, loss: 0.1862 +2023-03-05 07:49:22,857 - mmseg - INFO - Iter [151450/160000] lr: 1.172e-06, eta: 0:33:47, time: 0.239, data_time: 0.054, memory: 52540, decode.loss_ce: 0.1823, decode.acc_seg: 92.5558, loss: 0.1823 +2023-03-05 07:49:32,752 - mmseg - INFO - Iter [151500/160000] lr: 1.172e-06, eta: 0:33:35, time: 0.198, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1851, decode.acc_seg: 92.4895, loss: 0.1851 +2023-03-05 07:49:42,386 - mmseg - INFO - Iter [151550/160000] lr: 1.172e-06, eta: 0:33:23, time: 0.193, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1843, decode.acc_seg: 92.4074, loss: 0.1843 +2023-03-05 07:49:51,961 - mmseg - INFO - Iter [151600/160000] lr: 1.172e-06, eta: 0:33:11, time: 0.191, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1822, decode.acc_seg: 92.5513, loss: 0.1822 +2023-03-05 07:50:01,473 - mmseg - INFO - Iter [151650/160000] lr: 1.172e-06, eta: 0:32:59, time: 0.190, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1812, decode.acc_seg: 92.5565, loss: 0.1812 +2023-03-05 07:50:11,012 - mmseg - INFO - Iter [151700/160000] lr: 1.172e-06, eta: 0:32:47, time: 0.191, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1762, decode.acc_seg: 92.7496, loss: 0.1762 +2023-03-05 07:50:20,577 - mmseg - INFO - Iter [151750/160000] lr: 1.172e-06, eta: 0:32:35, time: 0.191, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1860, decode.acc_seg: 92.2643, loss: 0.1860 +2023-03-05 07:50:30,146 - mmseg - INFO - Iter [151800/160000] lr: 1.172e-06, eta: 0:32:23, time: 0.191, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1837, decode.acc_seg: 92.5518, loss: 0.1837 +2023-03-05 07:50:39,625 - mmseg - INFO - Iter [151850/160000] lr: 1.172e-06, eta: 0:32:11, time: 0.190, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1823, decode.acc_seg: 92.5340, loss: 0.1823 +2023-03-05 07:50:49,327 - mmseg - INFO - Iter [151900/160000] lr: 1.172e-06, eta: 0:31:59, time: 0.194, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1807, decode.acc_seg: 92.6663, loss: 0.1807 +2023-03-05 07:50:58,820 - mmseg - INFO - Iter [151950/160000] lr: 1.172e-06, eta: 0:31:47, time: 0.190, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1908, decode.acc_seg: 92.2441, loss: 0.1908 +2023-03-05 07:51:08,510 - mmseg - INFO - Exp name: ablation_segformer_mit_b2_segformer_head_unet_fc_small_multi_step_ade_pretrained_freeze_embed_160k_ade20k151_mask_finetune_maskonly.py +2023-03-05 07:51:08,510 - mmseg - INFO - Iter [152000/160000] lr: 1.172e-06, eta: 0:31:35, time: 0.194, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1810, decode.acc_seg: 92.5886, loss: 0.1810 +2023-03-05 07:51:17,964 - mmseg - INFO - Iter [152050/160000] lr: 1.172e-06, eta: 0:31:23, time: 0.189, data_time: 0.008, memory: 52540, decode.loss_ce: 0.1821, decode.acc_seg: 92.4886, loss: 0.1821 +2023-03-05 07:51:29,980 - mmseg - INFO - Iter [152100/160000] lr: 1.172e-06, eta: 0:31:11, time: 0.240, data_time: 0.056, memory: 52540, decode.loss_ce: 0.1879, decode.acc_seg: 92.4373, loss: 0.1879 +2023-03-05 07:51:39,470 - mmseg - INFO - Iter [152150/160000] lr: 1.172e-06, eta: 0:30:59, time: 0.190, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1842, decode.acc_seg: 92.4940, loss: 0.1842 +2023-03-05 07:51:48,929 - mmseg - INFO - Iter [152200/160000] lr: 1.172e-06, eta: 0:30:47, time: 0.189, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1870, decode.acc_seg: 92.3500, loss: 0.1870 +2023-03-05 07:51:58,723 - mmseg - INFO - Iter [152250/160000] lr: 1.172e-06, eta: 0:30:35, time: 0.196, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1815, decode.acc_seg: 92.5834, loss: 0.1815 +2023-03-05 07:52:08,259 - mmseg - INFO - Iter [152300/160000] lr: 1.172e-06, eta: 0:30:23, time: 0.191, data_time: 0.008, memory: 52540, decode.loss_ce: 0.1927, decode.acc_seg: 92.1194, loss: 0.1927 +2023-03-05 07:52:17,863 - mmseg - INFO - Iter [152350/160000] lr: 1.172e-06, eta: 0:30:11, time: 0.192, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1819, decode.acc_seg: 92.5864, loss: 0.1819 +2023-03-05 07:52:27,382 - mmseg - INFO - Iter [152400/160000] lr: 1.172e-06, eta: 0:29:59, time: 0.190, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1819, decode.acc_seg: 92.4915, loss: 0.1819 +2023-03-05 07:52:36,912 - mmseg - INFO - Iter [152450/160000] lr: 1.172e-06, eta: 0:29:47, time: 0.191, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1862, decode.acc_seg: 92.3561, loss: 0.1862 +2023-03-05 07:52:46,552 - mmseg - INFO - Iter [152500/160000] lr: 1.172e-06, eta: 0:29:35, time: 0.193, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1853, decode.acc_seg: 92.4915, loss: 0.1853 +2023-03-05 07:52:56,077 - mmseg - INFO - Iter [152550/160000] lr: 1.172e-06, eta: 0:29:23, time: 0.191, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1810, decode.acc_seg: 92.6117, loss: 0.1810 +2023-03-05 07:53:06,005 - mmseg - INFO - Iter [152600/160000] lr: 1.172e-06, eta: 0:29:11, time: 0.199, data_time: 0.008, memory: 52540, decode.loss_ce: 0.1797, decode.acc_seg: 92.6957, loss: 0.1797 +2023-03-05 07:53:15,444 - mmseg - INFO - Iter [152650/160000] lr: 1.172e-06, eta: 0:29:00, time: 0.188, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1821, decode.acc_seg: 92.4932, loss: 0.1821 +2023-03-05 07:53:25,050 - mmseg - INFO - Iter [152700/160000] lr: 1.172e-06, eta: 0:28:48, time: 0.192, data_time: 0.008, memory: 52540, decode.loss_ce: 0.1784, decode.acc_seg: 92.5836, loss: 0.1784 +2023-03-05 07:53:37,358 - mmseg - INFO - Iter [152750/160000] lr: 1.172e-06, eta: 0:28:36, time: 0.246, data_time: 0.053, memory: 52540, decode.loss_ce: 0.1867, decode.acc_seg: 92.4005, loss: 0.1867 +2023-03-05 07:53:47,212 - mmseg - INFO - Iter [152800/160000] lr: 1.172e-06, eta: 0:28:24, time: 0.197, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1787, decode.acc_seg: 92.7204, loss: 0.1787 +2023-03-05 07:53:56,999 - mmseg - INFO - Iter [152850/160000] lr: 1.172e-06, eta: 0:28:12, time: 0.196, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1794, decode.acc_seg: 92.6571, loss: 0.1794 +2023-03-05 07:54:06,996 - mmseg - INFO - Iter [152900/160000] lr: 1.172e-06, eta: 0:28:00, time: 0.200, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1824, decode.acc_seg: 92.6880, loss: 0.1824 +2023-03-05 07:54:16,514 - mmseg - INFO - Iter [152950/160000] lr: 1.172e-06, eta: 0:27:48, time: 0.190, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1844, decode.acc_seg: 92.5192, loss: 0.1844 +2023-03-05 07:54:26,072 - mmseg - INFO - Exp name: ablation_segformer_mit_b2_segformer_head_unet_fc_small_multi_step_ade_pretrained_freeze_embed_160k_ade20k151_mask_finetune_maskonly.py +2023-03-05 07:54:26,072 - mmseg - INFO - Iter [153000/160000] lr: 1.172e-06, eta: 0:27:36, time: 0.191, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1873, decode.acc_seg: 92.3560, loss: 0.1873 +2023-03-05 07:54:35,673 - mmseg - INFO - Iter [153050/160000] lr: 1.172e-06, eta: 0:27:24, time: 0.192, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1899, decode.acc_seg: 92.2408, loss: 0.1899 +2023-03-05 07:54:45,172 - mmseg - INFO - Iter [153100/160000] lr: 1.172e-06, eta: 0:27:12, time: 0.190, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1758, decode.acc_seg: 92.7168, loss: 0.1758 +2023-03-05 07:54:54,618 - mmseg - INFO - Iter [153150/160000] lr: 1.172e-06, eta: 0:27:00, time: 0.189, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1793, decode.acc_seg: 92.6493, loss: 0.1793 +2023-03-05 07:55:04,172 - mmseg - INFO - Iter [153200/160000] lr: 1.172e-06, eta: 0:26:48, time: 0.191, data_time: 0.008, memory: 52540, decode.loss_ce: 0.1907, decode.acc_seg: 92.3859, loss: 0.1907 +2023-03-05 07:55:13,608 - mmseg - INFO - Iter [153250/160000] lr: 1.172e-06, eta: 0:26:36, time: 0.189, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1821, decode.acc_seg: 92.4273, loss: 0.1821 +2023-03-05 07:55:23,252 - mmseg - INFO - Iter [153300/160000] lr: 1.172e-06, eta: 0:26:25, time: 0.193, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1831, decode.acc_seg: 92.5331, loss: 0.1831 +2023-03-05 07:55:35,256 - mmseg - INFO - Iter [153350/160000] lr: 1.172e-06, eta: 0:26:13, time: 0.240, data_time: 0.055, memory: 52540, decode.loss_ce: 0.1836, decode.acc_seg: 92.5043, loss: 0.1836 +2023-03-05 07:55:44,718 - mmseg - INFO - Iter [153400/160000] lr: 1.172e-06, eta: 0:26:01, time: 0.189, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1809, decode.acc_seg: 92.5923, loss: 0.1809 +2023-03-05 07:55:54,220 - mmseg - INFO - Iter [153450/160000] lr: 1.172e-06, eta: 0:25:49, time: 0.190, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1891, decode.acc_seg: 92.2789, loss: 0.1891 +2023-03-05 07:56:04,100 - mmseg - INFO - Iter [153500/160000] lr: 1.172e-06, eta: 0:25:37, time: 0.198, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1926, decode.acc_seg: 92.2232, loss: 0.1926 +2023-03-05 07:56:13,739 - mmseg - INFO - Iter [153550/160000] lr: 1.172e-06, eta: 0:25:25, time: 0.193, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1870, decode.acc_seg: 92.3984, loss: 0.1870 +2023-03-05 07:56:23,266 - mmseg - INFO - Iter [153600/160000] lr: 1.172e-06, eta: 0:25:13, time: 0.191, data_time: 0.008, memory: 52540, decode.loss_ce: 0.1733, decode.acc_seg: 92.7861, loss: 0.1733 +2023-03-05 07:56:33,105 - mmseg - INFO - Iter [153650/160000] lr: 1.172e-06, eta: 0:25:01, time: 0.197, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1743, decode.acc_seg: 92.8895, loss: 0.1743 +2023-03-05 07:56:42,705 - mmseg - INFO - Iter [153700/160000] lr: 1.172e-06, eta: 0:24:49, time: 0.192, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1794, decode.acc_seg: 92.5829, loss: 0.1794 +2023-03-05 07:56:52,577 - mmseg - INFO - Iter [153750/160000] lr: 1.172e-06, eta: 0:24:37, time: 0.197, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1805, decode.acc_seg: 92.5211, loss: 0.1805 +2023-03-05 07:57:02,314 - mmseg - INFO - Iter [153800/160000] lr: 1.172e-06, eta: 0:24:25, time: 0.194, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1834, decode.acc_seg: 92.5779, loss: 0.1834 +2023-03-05 07:57:12,407 - mmseg - INFO - Iter [153850/160000] lr: 1.172e-06, eta: 0:24:14, time: 0.202, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1751, decode.acc_seg: 92.7288, loss: 0.1751 +2023-03-05 07:57:22,296 - mmseg - INFO - Iter [153900/160000] lr: 1.172e-06, eta: 0:24:02, time: 0.198, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1859, decode.acc_seg: 92.2787, loss: 0.1859 +2023-03-05 07:57:31,814 - mmseg - INFO - Iter [153950/160000] lr: 1.172e-06, eta: 0:23:50, time: 0.191, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1719, decode.acc_seg: 92.9039, loss: 0.1719 +2023-03-05 07:57:43,991 - mmseg - INFO - Exp name: ablation_segformer_mit_b2_segformer_head_unet_fc_small_multi_step_ade_pretrained_freeze_embed_160k_ade20k151_mask_finetune_maskonly.py +2023-03-05 07:57:43,991 - mmseg - INFO - Iter [154000/160000] lr: 1.172e-06, eta: 0:23:38, time: 0.244, data_time: 0.056, memory: 52540, decode.loss_ce: 0.1929, decode.acc_seg: 92.2033, loss: 0.1929 +2023-03-05 07:57:53,762 - mmseg - INFO - Iter [154050/160000] lr: 1.172e-06, eta: 0:23:26, time: 0.195, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1815, decode.acc_seg: 92.4691, loss: 0.1815 +2023-03-05 07:58:03,474 - mmseg - INFO - Iter [154100/160000] lr: 1.172e-06, eta: 0:23:14, time: 0.194, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1790, decode.acc_seg: 92.7401, loss: 0.1790 +2023-03-05 07:58:13,040 - mmseg - INFO - Iter [154150/160000] lr: 1.172e-06, eta: 0:23:02, time: 0.191, data_time: 0.008, memory: 52540, decode.loss_ce: 0.1806, decode.acc_seg: 92.6431, loss: 0.1806 +2023-03-05 07:58:22,685 - mmseg - INFO - Iter [154200/160000] lr: 1.172e-06, eta: 0:22:50, time: 0.193, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1788, decode.acc_seg: 92.7061, loss: 0.1788 +2023-03-05 07:58:32,194 - mmseg - INFO - Iter [154250/160000] lr: 1.172e-06, eta: 0:22:38, time: 0.190, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1909, decode.acc_seg: 92.0527, loss: 0.1909 +2023-03-05 07:58:42,162 - mmseg - INFO - Iter [154300/160000] lr: 1.172e-06, eta: 0:22:27, time: 0.199, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1853, decode.acc_seg: 92.5706, loss: 0.1853 +2023-03-05 07:58:51,893 - mmseg - INFO - Iter [154350/160000] lr: 1.172e-06, eta: 0:22:15, time: 0.195, data_time: 0.008, memory: 52540, decode.loss_ce: 0.1846, decode.acc_seg: 92.4752, loss: 0.1846 +2023-03-05 07:59:01,909 - mmseg - INFO - Iter [154400/160000] lr: 1.172e-06, eta: 0:22:03, time: 0.200, data_time: 0.008, memory: 52540, decode.loss_ce: 0.1825, decode.acc_seg: 92.3593, loss: 0.1825 +2023-03-05 07:59:11,401 - mmseg - INFO - Iter [154450/160000] lr: 1.172e-06, eta: 0:21:51, time: 0.190, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1865, decode.acc_seg: 92.4139, loss: 0.1865 +2023-03-05 07:59:21,172 - mmseg - INFO - Iter [154500/160000] lr: 1.172e-06, eta: 0:21:39, time: 0.195, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1873, decode.acc_seg: 92.3950, loss: 0.1873 +2023-03-05 07:59:30,645 - mmseg - INFO - Iter [154550/160000] lr: 1.172e-06, eta: 0:21:27, time: 0.189, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1894, decode.acc_seg: 92.4311, loss: 0.1894 +2023-03-05 07:59:42,668 - mmseg - INFO - Iter [154600/160000] lr: 1.172e-06, eta: 0:21:15, time: 0.240, data_time: 0.056, memory: 52540, decode.loss_ce: 0.1774, decode.acc_seg: 92.6869, loss: 0.1774 +2023-03-05 07:59:52,203 - mmseg - INFO - Iter [154650/160000] lr: 1.172e-06, eta: 0:21:03, time: 0.191, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1779, decode.acc_seg: 92.6161, loss: 0.1779 +2023-03-05 08:00:01,765 - mmseg - INFO - Iter [154700/160000] lr: 1.172e-06, eta: 0:20:52, time: 0.191, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1843, decode.acc_seg: 92.3795, loss: 0.1843 +2023-03-05 08:00:11,514 - mmseg - INFO - Iter [154750/160000] lr: 1.172e-06, eta: 0:20:40, time: 0.195, data_time: 0.008, memory: 52540, decode.loss_ce: 0.1797, decode.acc_seg: 92.5161, loss: 0.1797 +2023-03-05 08:00:21,391 - mmseg - INFO - Iter [154800/160000] lr: 1.172e-06, eta: 0:20:28, time: 0.198, data_time: 0.008, memory: 52540, decode.loss_ce: 0.1755, decode.acc_seg: 92.7445, loss: 0.1755 +2023-03-05 08:00:31,009 - mmseg - INFO - Iter [154850/160000] lr: 1.172e-06, eta: 0:20:16, time: 0.192, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1853, decode.acc_seg: 92.2965, loss: 0.1853 +2023-03-05 08:00:40,729 - mmseg - INFO - Iter [154900/160000] lr: 1.172e-06, eta: 0:20:04, time: 0.194, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1888, decode.acc_seg: 92.2447, loss: 0.1888 +2023-03-05 08:00:50,187 - mmseg - INFO - Iter [154950/160000] lr: 1.172e-06, eta: 0:19:52, time: 0.189, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1821, decode.acc_seg: 92.6126, loss: 0.1821 +2023-03-05 08:00:59,843 - mmseg - INFO - Exp name: ablation_segformer_mit_b2_segformer_head_unet_fc_small_multi_step_ade_pretrained_freeze_embed_160k_ade20k151_mask_finetune_maskonly.py +2023-03-05 08:00:59,843 - mmseg - INFO - Iter [155000/160000] lr: 1.172e-06, eta: 0:19:40, time: 0.193, data_time: 0.008, memory: 52540, decode.loss_ce: 0.1803, decode.acc_seg: 92.5721, loss: 0.1803 +2023-03-05 08:01:09,410 - mmseg - INFO - Iter [155050/160000] lr: 1.172e-06, eta: 0:19:28, time: 0.191, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1747, decode.acc_seg: 92.7444, loss: 0.1747 +2023-03-05 08:01:19,291 - mmseg - INFO - Iter [155100/160000] lr: 1.172e-06, eta: 0:19:16, time: 0.198, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1830, decode.acc_seg: 92.3706, loss: 0.1830 +2023-03-05 08:01:28,828 - mmseg - INFO - Iter [155150/160000] lr: 1.172e-06, eta: 0:19:05, time: 0.191, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1814, decode.acc_seg: 92.5400, loss: 0.1814 +2023-03-05 08:01:38,397 - mmseg - INFO - Iter [155200/160000] lr: 1.172e-06, eta: 0:18:53, time: 0.191, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1787, decode.acc_seg: 92.7143, loss: 0.1787 +2023-03-05 08:01:50,616 - mmseg - INFO - Iter [155250/160000] lr: 1.172e-06, eta: 0:18:41, time: 0.245, data_time: 0.053, memory: 52540, decode.loss_ce: 0.1806, decode.acc_seg: 92.4981, loss: 0.1806 +2023-03-05 08:02:00,139 - mmseg - INFO - Iter [155300/160000] lr: 1.172e-06, eta: 0:18:29, time: 0.190, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1840, decode.acc_seg: 92.4741, loss: 0.1840 +2023-03-05 08:02:09,876 - mmseg - INFO - Iter [155350/160000] lr: 1.172e-06, eta: 0:18:17, time: 0.195, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1887, decode.acc_seg: 92.4472, loss: 0.1887 +2023-03-05 08:02:19,676 - mmseg - INFO - Iter [155400/160000] lr: 1.172e-06, eta: 0:18:05, time: 0.196, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1765, decode.acc_seg: 92.7373, loss: 0.1765 +2023-03-05 08:02:29,072 - mmseg - INFO - Iter [155450/160000] lr: 1.172e-06, eta: 0:17:53, time: 0.188, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1784, decode.acc_seg: 92.7357, loss: 0.1784 +2023-03-05 08:02:38,545 - mmseg - INFO - Iter [155500/160000] lr: 1.172e-06, eta: 0:17:42, time: 0.189, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1786, decode.acc_seg: 92.6628, loss: 0.1786 +2023-03-05 08:02:48,202 - mmseg - INFO - Iter [155550/160000] lr: 1.172e-06, eta: 0:17:30, time: 0.193, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1729, decode.acc_seg: 92.8521, loss: 0.1729 +2023-03-05 08:02:57,795 - mmseg - INFO - Iter [155600/160000] lr: 1.172e-06, eta: 0:17:18, time: 0.192, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1812, decode.acc_seg: 92.6130, loss: 0.1812 +2023-03-05 08:03:07,559 - mmseg - INFO - Iter [155650/160000] lr: 1.172e-06, eta: 0:17:06, time: 0.195, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1769, decode.acc_seg: 92.6839, loss: 0.1769 +2023-03-05 08:03:17,412 - mmseg - INFO - Iter [155700/160000] lr: 1.172e-06, eta: 0:16:54, time: 0.197, data_time: 0.008, memory: 52540, decode.loss_ce: 0.1881, decode.acc_seg: 92.2375, loss: 0.1881 +2023-03-05 08:03:27,273 - mmseg - INFO - Iter [155750/160000] lr: 1.172e-06, eta: 0:16:42, time: 0.197, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1775, decode.acc_seg: 92.6472, loss: 0.1775 +2023-03-05 08:03:37,059 - mmseg - INFO - Iter [155800/160000] lr: 1.172e-06, eta: 0:16:30, time: 0.196, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1864, decode.acc_seg: 92.2850, loss: 0.1864 +2023-03-05 08:03:46,691 - mmseg - INFO - Iter [155850/160000] lr: 1.172e-06, eta: 0:16:19, time: 0.193, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1798, decode.acc_seg: 92.5655, loss: 0.1798 +2023-03-05 08:03:59,092 - mmseg - INFO - Iter [155900/160000] lr: 1.172e-06, eta: 0:16:07, time: 0.248, data_time: 0.058, memory: 52540, decode.loss_ce: 0.1790, decode.acc_seg: 92.6694, loss: 0.1790 +2023-03-05 08:04:08,797 - mmseg - INFO - Iter [155950/160000] lr: 1.172e-06, eta: 0:15:55, time: 0.194, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1843, decode.acc_seg: 92.4510, loss: 0.1843 +2023-03-05 08:04:18,407 - mmseg - INFO - Exp name: ablation_segformer_mit_b2_segformer_head_unet_fc_small_multi_step_ade_pretrained_freeze_embed_160k_ade20k151_mask_finetune_maskonly.py +2023-03-05 08:04:18,408 - mmseg - INFO - Iter [156000/160000] lr: 1.172e-06, eta: 0:15:43, time: 0.192, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1802, decode.acc_seg: 92.6654, loss: 0.1802 +2023-03-05 08:04:27,887 - mmseg - INFO - Iter [156050/160000] lr: 1.172e-06, eta: 0:15:31, time: 0.190, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1878, decode.acc_seg: 92.2762, loss: 0.1878 +2023-03-05 08:04:37,450 - mmseg - INFO - Iter [156100/160000] lr: 1.172e-06, eta: 0:15:19, time: 0.191, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1883, decode.acc_seg: 92.4939, loss: 0.1883 +2023-03-05 08:04:47,109 - mmseg - INFO - Iter [156150/160000] lr: 1.172e-06, eta: 0:15:08, time: 0.193, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1827, decode.acc_seg: 92.4371, loss: 0.1827 +2023-03-05 08:04:56,756 - mmseg - INFO - Iter [156200/160000] lr: 1.172e-06, eta: 0:14:56, time: 0.193, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1773, decode.acc_seg: 92.7256, loss: 0.1773 +2023-03-05 08:05:06,581 - mmseg - INFO - Iter [156250/160000] lr: 1.172e-06, eta: 0:14:44, time: 0.196, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1777, decode.acc_seg: 92.7326, loss: 0.1777 +2023-03-05 08:05:16,670 - mmseg - INFO - Iter [156300/160000] lr: 1.172e-06, eta: 0:14:32, time: 0.202, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1825, decode.acc_seg: 92.5531, loss: 0.1825 +2023-03-05 08:05:26,763 - mmseg - INFO - Iter [156350/160000] lr: 1.172e-06, eta: 0:14:20, time: 0.202, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1822, decode.acc_seg: 92.5561, loss: 0.1822 +2023-03-05 08:05:36,664 - mmseg - INFO - Iter [156400/160000] lr: 1.172e-06, eta: 0:14:08, time: 0.198, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1874, decode.acc_seg: 92.3720, loss: 0.1874 +2023-03-05 08:05:46,295 - mmseg - INFO - Iter [156450/160000] lr: 1.172e-06, eta: 0:13:57, time: 0.193, data_time: 0.008, memory: 52540, decode.loss_ce: 0.1845, decode.acc_seg: 92.4525, loss: 0.1845 +2023-03-05 08:05:58,262 - mmseg - INFO - Iter [156500/160000] lr: 1.172e-06, eta: 0:13:45, time: 0.239, data_time: 0.055, memory: 52540, decode.loss_ce: 0.1792, decode.acc_seg: 92.5956, loss: 0.1792 +2023-03-05 08:06:07,952 - mmseg - INFO - Iter [156550/160000] lr: 1.172e-06, eta: 0:13:33, time: 0.194, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1797, decode.acc_seg: 92.7771, loss: 0.1797 +2023-03-05 08:06:17,488 - mmseg - INFO - Iter [156600/160000] lr: 1.172e-06, eta: 0:13:21, time: 0.191, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1760, decode.acc_seg: 92.7229, loss: 0.1760 +2023-03-05 08:06:27,116 - mmseg - INFO - Iter [156650/160000] lr: 1.172e-06, eta: 0:13:09, time: 0.193, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1869, decode.acc_seg: 92.4403, loss: 0.1869 +2023-03-05 08:06:36,671 - mmseg - INFO - Iter [156700/160000] lr: 1.172e-06, eta: 0:12:57, time: 0.191, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1759, decode.acc_seg: 92.6422, loss: 0.1759 +2023-03-05 08:06:46,498 - mmseg - INFO - Iter [156750/160000] lr: 1.172e-06, eta: 0:12:46, time: 0.197, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1838, decode.acc_seg: 92.4047, loss: 0.1838 +2023-03-05 08:06:56,000 - mmseg - INFO - Iter [156800/160000] lr: 1.172e-06, eta: 0:12:34, time: 0.190, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1796, decode.acc_seg: 92.5317, loss: 0.1796 +2023-03-05 08:07:05,574 - mmseg - INFO - Iter [156850/160000] lr: 1.172e-06, eta: 0:12:22, time: 0.191, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1868, decode.acc_seg: 92.3971, loss: 0.1868 +2023-03-05 08:07:15,038 - mmseg - INFO - Iter [156900/160000] lr: 1.172e-06, eta: 0:12:10, time: 0.189, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1822, decode.acc_seg: 92.5052, loss: 0.1822 +2023-03-05 08:07:24,553 - mmseg - INFO - Iter [156950/160000] lr: 1.172e-06, eta: 0:11:58, time: 0.190, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1819, decode.acc_seg: 92.4977, loss: 0.1819 +2023-03-05 08:07:34,127 - mmseg - INFO - Exp name: ablation_segformer_mit_b2_segformer_head_unet_fc_small_multi_step_ade_pretrained_freeze_embed_160k_ade20k151_mask_finetune_maskonly.py +2023-03-05 08:07:34,127 - mmseg - INFO - Iter [157000/160000] lr: 1.172e-06, eta: 0:11:46, time: 0.191, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1865, decode.acc_seg: 92.3684, loss: 0.1865 +2023-03-05 08:07:43,559 - mmseg - INFO - Iter [157050/160000] lr: 1.172e-06, eta: 0:11:35, time: 0.189, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1840, decode.acc_seg: 92.5019, loss: 0.1840 +2023-03-05 08:07:52,973 - mmseg - INFO - Iter [157100/160000] lr: 1.172e-06, eta: 0:11:23, time: 0.188, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1859, decode.acc_seg: 92.3761, loss: 0.1859 +2023-03-05 08:08:05,076 - mmseg - INFO - Iter [157150/160000] lr: 1.172e-06, eta: 0:11:11, time: 0.242, data_time: 0.054, memory: 52540, decode.loss_ce: 0.1799, decode.acc_seg: 92.5866, loss: 0.1799 +2023-03-05 08:08:14,624 - mmseg - INFO - Iter [157200/160000] lr: 1.172e-06, eta: 0:10:59, time: 0.191, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1762, decode.acc_seg: 92.6411, loss: 0.1762 +2023-03-05 08:08:24,274 - mmseg - INFO - Iter [157250/160000] lr: 1.172e-06, eta: 0:10:47, time: 0.193, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1809, decode.acc_seg: 92.6286, loss: 0.1809 +2023-03-05 08:08:33,950 - mmseg - INFO - Iter [157300/160000] lr: 1.172e-06, eta: 0:10:36, time: 0.194, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1831, decode.acc_seg: 92.4336, loss: 0.1831 +2023-03-05 08:08:43,480 - mmseg - INFO - Iter [157350/160000] lr: 1.172e-06, eta: 0:10:24, time: 0.191, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1771, decode.acc_seg: 92.7636, loss: 0.1771 +2023-03-05 08:08:52,941 - mmseg - INFO - Iter [157400/160000] lr: 1.172e-06, eta: 0:10:12, time: 0.189, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1738, decode.acc_seg: 92.7929, loss: 0.1738 +2023-03-05 08:09:02,705 - mmseg - INFO - Iter [157450/160000] lr: 1.172e-06, eta: 0:10:00, time: 0.195, data_time: 0.008, memory: 52540, decode.loss_ce: 0.1837, decode.acc_seg: 92.4511, loss: 0.1837 +2023-03-05 08:09:12,156 - mmseg - INFO - Iter [157500/160000] lr: 1.172e-06, eta: 0:09:48, time: 0.189, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1819, decode.acc_seg: 92.5291, loss: 0.1819 +2023-03-05 08:09:21,783 - mmseg - INFO - Iter [157550/160000] lr: 1.172e-06, eta: 0:09:37, time: 0.193, data_time: 0.008, memory: 52540, decode.loss_ce: 0.1850, decode.acc_seg: 92.2889, loss: 0.1850 +2023-03-05 08:09:31,344 - mmseg - INFO - Iter [157600/160000] lr: 1.172e-06, eta: 0:09:25, time: 0.191, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1821, decode.acc_seg: 92.5270, loss: 0.1821 +2023-03-05 08:09:40,945 - mmseg - INFO - Iter [157650/160000] lr: 1.172e-06, eta: 0:09:13, time: 0.192, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1789, decode.acc_seg: 92.6865, loss: 0.1789 +2023-03-05 08:09:50,634 - mmseg - INFO - Iter [157700/160000] lr: 1.172e-06, eta: 0:09:01, time: 0.194, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1809, decode.acc_seg: 92.4943, loss: 0.1809 +2023-03-05 08:10:00,087 - mmseg - INFO - Iter [157750/160000] lr: 1.172e-06, eta: 0:08:49, time: 0.189, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1743, decode.acc_seg: 92.8783, loss: 0.1743 +2023-03-05 08:10:12,473 - mmseg - INFO - Iter [157800/160000] lr: 1.172e-06, eta: 0:08:38, time: 0.248, data_time: 0.052, memory: 52540, decode.loss_ce: 0.1821, decode.acc_seg: 92.4815, loss: 0.1821 +2023-03-05 08:10:22,215 - mmseg - INFO - Iter [157850/160000] lr: 1.172e-06, eta: 0:08:26, time: 0.195, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1766, decode.acc_seg: 92.7030, loss: 0.1766 +2023-03-05 08:10:32,072 - mmseg - INFO - Iter [157900/160000] lr: 1.172e-06, eta: 0:08:14, time: 0.197, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1808, decode.acc_seg: 92.5974, loss: 0.1808 +2023-03-05 08:10:41,558 - mmseg - INFO - Iter [157950/160000] lr: 1.172e-06, eta: 0:08:02, time: 0.190, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1904, decode.acc_seg: 92.2579, loss: 0.1904 +2023-03-05 08:10:51,024 - mmseg - INFO - Exp name: ablation_segformer_mit_b2_segformer_head_unet_fc_small_multi_step_ade_pretrained_freeze_embed_160k_ade20k151_mask_finetune_maskonly.py +2023-03-05 08:10:51,025 - mmseg - INFO - Iter [158000/160000] lr: 1.172e-06, eta: 0:07:50, time: 0.189, data_time: 0.008, memory: 52540, decode.loss_ce: 0.1790, decode.acc_seg: 92.6124, loss: 0.1790 +2023-03-05 08:11:00,475 - mmseg - INFO - Iter [158050/160000] lr: 1.172e-06, eta: 0:07:39, time: 0.189, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1755, decode.acc_seg: 92.7034, loss: 0.1755 +2023-03-05 08:11:10,272 - mmseg - INFO - Iter [158100/160000] lr: 1.172e-06, eta: 0:07:27, time: 0.196, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1819, decode.acc_seg: 92.5306, loss: 0.1819 +2023-03-05 08:11:19,866 - mmseg - INFO - Iter [158150/160000] lr: 1.172e-06, eta: 0:07:15, time: 0.192, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1828, decode.acc_seg: 92.4301, loss: 0.1828 +2023-03-05 08:11:29,456 - mmseg - INFO - Iter [158200/160000] lr: 1.172e-06, eta: 0:07:03, time: 0.192, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1795, decode.acc_seg: 92.6038, loss: 0.1795 +2023-03-05 08:11:39,023 - mmseg - INFO - Iter [158250/160000] lr: 1.172e-06, eta: 0:06:51, time: 0.191, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1803, decode.acc_seg: 92.5984, loss: 0.1803 +2023-03-05 08:11:48,822 - mmseg - INFO - Iter [158300/160000] lr: 1.172e-06, eta: 0:06:40, time: 0.196, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1902, decode.acc_seg: 92.2168, loss: 0.1902 +2023-03-05 08:11:58,388 - mmseg - INFO - Iter [158350/160000] lr: 1.172e-06, eta: 0:06:28, time: 0.191, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1780, decode.acc_seg: 92.6366, loss: 0.1780 +2023-03-05 08:12:10,878 - mmseg - INFO - Iter [158400/160000] lr: 1.172e-06, eta: 0:06:16, time: 0.250, data_time: 0.055, memory: 52540, decode.loss_ce: 0.1724, decode.acc_seg: 92.8751, loss: 0.1724 +2023-03-05 08:12:20,549 - mmseg - INFO - Iter [158450/160000] lr: 1.172e-06, eta: 0:06:04, time: 0.193, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1806, decode.acc_seg: 92.3972, loss: 0.1806 +2023-03-05 08:12:30,629 - mmseg - INFO - Iter [158500/160000] lr: 1.172e-06, eta: 0:05:52, time: 0.202, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1864, decode.acc_seg: 92.3636, loss: 0.1864 +2023-03-05 08:12:40,072 - mmseg - INFO - Iter [158550/160000] lr: 1.172e-06, eta: 0:05:41, time: 0.189, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1845, decode.acc_seg: 92.4164, loss: 0.1845 +2023-03-05 08:12:49,661 - mmseg - INFO - Iter [158600/160000] lr: 1.172e-06, eta: 0:05:29, time: 0.192, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1864, decode.acc_seg: 92.4407, loss: 0.1864 +2023-03-05 08:12:59,359 - mmseg - INFO - Iter [158650/160000] lr: 1.172e-06, eta: 0:05:17, time: 0.194, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1800, decode.acc_seg: 92.5468, loss: 0.1800 +2023-03-05 08:13:08,854 - mmseg - INFO - Iter [158700/160000] lr: 1.172e-06, eta: 0:05:05, time: 0.190, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1889, decode.acc_seg: 92.3336, loss: 0.1889 +2023-03-05 08:13:18,508 - mmseg - INFO - Iter [158750/160000] lr: 1.172e-06, eta: 0:04:54, time: 0.193, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1789, decode.acc_seg: 92.6491, loss: 0.1789 +2023-03-05 08:13:28,114 - mmseg - INFO - Iter [158800/160000] lr: 1.172e-06, eta: 0:04:42, time: 0.192, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1938, decode.acc_seg: 92.1493, loss: 0.1938 +2023-03-05 08:13:37,820 - mmseg - INFO - Iter [158850/160000] lr: 1.172e-06, eta: 0:04:30, time: 0.194, data_time: 0.008, memory: 52540, decode.loss_ce: 0.1841, decode.acc_seg: 92.4603, loss: 0.1841 +2023-03-05 08:13:47,428 - mmseg - INFO - Iter [158900/160000] lr: 1.172e-06, eta: 0:04:18, time: 0.192, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1798, decode.acc_seg: 92.7476, loss: 0.1798 +2023-03-05 08:13:56,934 - mmseg - INFO - Iter [158950/160000] lr: 1.172e-06, eta: 0:04:06, time: 0.190, data_time: 0.008, memory: 52540, decode.loss_ce: 0.1772, decode.acc_seg: 92.6509, loss: 0.1772 +2023-03-05 08:14:06,402 - mmseg - INFO - Exp name: ablation_segformer_mit_b2_segformer_head_unet_fc_small_multi_step_ade_pretrained_freeze_embed_160k_ade20k151_mask_finetune_maskonly.py +2023-03-05 08:14:06,402 - mmseg - INFO - Iter [159000/160000] lr: 1.172e-06, eta: 0:03:55, time: 0.189, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1849, decode.acc_seg: 92.4900, loss: 0.1849 +2023-03-05 08:14:18,494 - mmseg - INFO - Iter [159050/160000] lr: 1.172e-06, eta: 0:03:43, time: 0.242, data_time: 0.057, memory: 52540, decode.loss_ce: 0.1755, decode.acc_seg: 92.7743, loss: 0.1755 +2023-03-05 08:14:28,024 - mmseg - INFO - Iter [159100/160000] lr: 1.172e-06, eta: 0:03:31, time: 0.191, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1812, decode.acc_seg: 92.6096, loss: 0.1812 +2023-03-05 08:14:37,602 - mmseg - INFO - Iter [159150/160000] lr: 1.172e-06, eta: 0:03:19, time: 0.191, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1891, decode.acc_seg: 92.2299, loss: 0.1891 +2023-03-05 08:14:47,295 - mmseg - INFO - Iter [159200/160000] lr: 1.172e-06, eta: 0:03:08, time: 0.194, data_time: 0.008, memory: 52540, decode.loss_ce: 0.1783, decode.acc_seg: 92.5940, loss: 0.1783 +2023-03-05 08:14:56,801 - mmseg - INFO - Iter [159250/160000] lr: 1.172e-06, eta: 0:02:56, time: 0.190, data_time: 0.008, memory: 52540, decode.loss_ce: 0.1832, decode.acc_seg: 92.2099, loss: 0.1832 +2023-03-05 08:15:06,249 - mmseg - INFO - Iter [159300/160000] lr: 1.172e-06, eta: 0:02:44, time: 0.189, data_time: 0.008, memory: 52540, decode.loss_ce: 0.1793, decode.acc_seg: 92.7693, loss: 0.1793 +2023-03-05 08:15:15,666 - mmseg - INFO - Iter [159350/160000] lr: 1.172e-06, eta: 0:02:32, time: 0.188, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1799, decode.acc_seg: 92.4798, loss: 0.1799 +2023-03-05 08:15:25,436 - mmseg - INFO - Iter [159400/160000] lr: 1.172e-06, eta: 0:02:21, time: 0.195, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1847, decode.acc_seg: 92.4892, loss: 0.1847 +2023-03-05 08:15:35,113 - mmseg - INFO - Iter [159450/160000] lr: 1.172e-06, eta: 0:02:09, time: 0.193, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1785, decode.acc_seg: 92.7444, loss: 0.1785 +2023-03-05 08:15:44,805 - mmseg - INFO - Iter [159500/160000] lr: 1.172e-06, eta: 0:01:57, time: 0.194, data_time: 0.008, memory: 52540, decode.loss_ce: 0.1754, decode.acc_seg: 92.7085, loss: 0.1754 +2023-03-05 08:15:54,216 - mmseg - INFO - Iter [159550/160000] lr: 1.172e-06, eta: 0:01:45, time: 0.188, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1802, decode.acc_seg: 92.5809, loss: 0.1802 +2023-03-05 08:16:03,706 - mmseg - INFO - Iter [159600/160000] lr: 1.172e-06, eta: 0:01:34, time: 0.190, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1818, decode.acc_seg: 92.5438, loss: 0.1818 +2023-03-05 08:16:15,741 - mmseg - INFO - Iter [159650/160000] lr: 1.172e-06, eta: 0:01:22, time: 0.241, data_time: 0.052, memory: 52540, decode.loss_ce: 0.1856, decode.acc_seg: 92.5165, loss: 0.1856 +2023-03-05 08:16:25,196 - mmseg - INFO - Iter [159700/160000] lr: 1.172e-06, eta: 0:01:10, time: 0.189, data_time: 0.008, memory: 52540, decode.loss_ce: 0.1756, decode.acc_seg: 92.7788, loss: 0.1756 +2023-03-05 08:16:34,970 - mmseg - INFO - Iter [159750/160000] lr: 1.172e-06, eta: 0:00:58, time: 0.195, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1781, decode.acc_seg: 92.6932, loss: 0.1781 +2023-03-05 08:16:44,487 - mmseg - INFO - Iter [159800/160000] lr: 1.172e-06, eta: 0:00:46, time: 0.190, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1792, decode.acc_seg: 92.6737, loss: 0.1792 +2023-03-05 08:16:53,918 - mmseg - INFO - Iter [159850/160000] lr: 1.172e-06, eta: 0:00:35, time: 0.189, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1783, decode.acc_seg: 92.6050, loss: 0.1783 +2023-03-05 08:17:03,483 - mmseg - INFO - Iter [159900/160000] lr: 1.172e-06, eta: 0:00:23, time: 0.191, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1848, decode.acc_seg: 92.5062, loss: 0.1848 +2023-03-05 08:17:13,155 - mmseg - INFO - Iter [159950/160000] lr: 1.172e-06, eta: 0:00:11, time: 0.193, data_time: 0.008, memory: 52540, decode.loss_ce: 0.1834, decode.acc_seg: 92.6074, loss: 0.1834 +2023-03-05 08:17:22,735 - mmseg - INFO - Swap parameters (after train) after iter [160000] +2023-03-05 08:17:22,748 - mmseg - INFO - Saving checkpoint at 160000 iterations +2023-03-05 08:17:23,956 - mmseg - INFO - Exp name: ablation_segformer_mit_b2_segformer_head_unet_fc_small_multi_step_ade_pretrained_freeze_embed_160k_ade20k151_mask_finetune_maskonly.py +2023-03-05 08:17:23,956 - mmseg - INFO - Iter [160000/160000] lr: 1.172e-06, eta: 0:00:00, time: 0.216, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1776, decode.acc_seg: 92.6302, loss: 0.1776 +2023-03-05 08:28:24,765 - mmseg - INFO - per class results: +2023-03-05 08:28:24,773 - mmseg - INFO - ++---------------------+-------------------------------------------------------------------+ +| Class | IoU 0,10,20,30,40,50,60,70,80,90,99 | ++---------------------+-------------------------------------------------------------------+ +| background | nan,nan,nan,nan,nan,nan,nan,nan,nan,nan,nan | +| wall | 77.26,77.46,77.47,77.46,77.46,77.47,77.46,77.47,77.46,77.47,77.46 | +| building | 81.78,81.81,81.82,81.81,81.82,81.82,81.82,81.82,81.82,81.82,81.83 | +| sky | 94.42,94.51,94.52,94.52,94.52,94.52,94.52,94.51,94.51,94.52,94.51 | +| floor | 81.66,81.84,81.84,81.84,81.83,81.83,81.83,81.83,81.84,81.84,81.85 | +| tree | 74.11,74.37,74.35,74.36,74.36,74.36,74.35,74.35,74.36,74.36,74.33 | +| ceiling | 84.98,85.39,85.38,85.39,85.37,85.38,85.38,85.38,85.38,85.39,85.4 | +| road | 82.03,81.98,81.97,81.97,81.96,81.97,81.98,81.99,82.0,82.0,81.98 | +| bed | 87.38,87.56,87.6,87.6,87.58,87.59,87.59,87.59,87.59,87.59,87.61 | +| windowpane | 60.65,60.91,60.92,60.92,60.89,60.9,60.88,60.89,60.9,60.88,60.9 | +| grass | 66.7,66.95,67.03,67.05,67.06,67.07,67.08,67.07,67.08,67.1,67.08 | +| cabinet | 59.79,60.5,60.51,60.46,60.47,60.48,60.47,60.48,60.47,60.47,60.43 | +| sidewalk | 64.26,63.96,63.92,63.91,63.88,63.83,63.85,63.87,63.89,63.89,63.87 | +| person | 79.66,79.8,79.8,79.79,79.79,79.81,79.8,79.79,79.8,79.8,79.85 | +| earth | 35.98,36.1,36.08,36.04,36.04,36.06,36.09,36.09,36.08,36.07,36.1 | +| door | 46.22,46.49,46.43,46.4,46.38,46.41,46.41,46.41,46.39,46.4,46.33 | +| table | 61.2,61.42,61.43,61.43,61.45,61.43,61.41,61.42,61.42,61.43,61.39 | +| mountain | 57.31,58.11,58.11,58.16,58.17,58.16,58.18,58.2,58.19,58.18,58.17 | +| plant | 49.46,49.67,49.7,49.74,49.75,49.75,49.76,49.74,49.74,49.75,49.75 | +| curtain | 73.42,74.06,74.11,74.13,74.11,74.11,74.09,74.09,74.09,74.1,74.12 | +| chair | 56.37,56.73,56.74,56.74,56.74,56.74,56.74,56.72,56.74,56.74,56.72 | +| car | 82.17,82.51,82.51,82.55,82.54,82.55,82.54,82.55,82.54,82.56,82.55 | +| water | 58.19,58.2,58.17,58.17,58.17,58.16,58.18,58.19,58.15,58.15,58.28 | +| painting | 70.32,69.87,69.84,69.82,69.81,69.83,69.82,69.83,69.81,69.82,69.79 | +| sofa | 64.24,64.94,65.0,65.0,65.01,65.0,64.97,64.96,64.95,64.94,64.95 | +| shelf | 43.59,43.81,43.8,43.83,43.81,43.82,43.79,43.79,43.81,43.8,43.8 | +| house | 43.19,43.3,43.26,43.18,43.2,43.2,43.23,43.23,43.19,43.21,43.35 | +| sea | 60.09,60.68,60.7,60.68,60.68,60.69,60.69,60.7,60.68,60.68,60.71 | +| mirror | 66.13,66.77,66.8,66.79,66.7,66.72,66.69,66.7,66.7,66.72,66.77 | +| rug | 64.31,65.35,65.37,65.41,65.39,65.4,65.36,65.36,65.36,65.36,65.45 | +| field | 30.04,30.11,30.24,30.27,30.27,30.28,30.3,30.32,30.32,30.33,30.3 | +| armchair | 37.01,37.79,37.8,37.85,37.87,37.89,37.87,37.84,37.86,37.84,37.9 | +| seat | 65.86,66.35,66.31,66.23,66.23,66.29,66.34,66.33,66.33,66.32,66.4 | +| fence | 41.28,40.54,40.54,40.57,40.56,40.58,40.57,40.56,40.6,40.58,40.62 | +| desk | 47.16,47.4,47.44,47.42,47.4,47.39,47.41,47.41,47.39,47.4,47.41 | +| rock | 37.23,37.19,37.11,37.1,37.1,37.1,37.08,37.1,37.11,37.08,37.15 | +| wardrobe | 55.99,56.79,56.75,56.77,56.76,56.76,56.77,56.77,56.81,56.77,56.77 | +| lamp | 62.25,62.88,62.95,62.97,62.95,62.96,62.99,62.99,63.01,62.99,62.92 | +| bathtub | 75.87,76.71,76.65,76.7,76.75,76.8,76.67,76.7,76.74,76.74,76.74 | +| railing | 33.21,33.29,33.26,33.28,33.24,33.24,33.32,33.29,33.24,33.26,33.19 | +| cushion | 56.98,57.86,57.87,57.88,57.9,57.89,57.87,57.88,57.89,57.9,57.84 | +| base | 19.13,21.64,21.65,21.69,21.66,21.71,21.7,21.68,21.69,21.66,21.42 | +| box | 23.92,24.24,24.24,24.23,24.23,24.23,24.19,24.19,24.19,24.2,24.39 | +| column | 46.52,46.92,46.91,46.82,46.81,46.78,46.81,46.83,46.87,46.83,46.87 | +| signboard | 37.99,37.9,37.88,37.88,37.86,37.9,37.87,37.86,37.89,37.87,38.06 | +| chest of drawers | 35.76,37.23,37.42,37.31,37.35,37.34,37.33,37.35,37.38,37.35,37.39 | +| counter | 30.59,31.02,31.08,31.03,31.03,31.0,31.05,31.03,31.05,31.04,30.87 | +| sand | 43.09,42.72,42.83,42.89,42.92,42.89,42.91,42.92,42.92,42.94,42.93 | +| sink | 67.95,68.2,68.13,68.11,68.12,68.11,68.1,68.1,68.11,68.1,67.92 | +| skyscraper | 54.29,49.59,49.43,49.17,49.17,49.21,49.25,49.25,49.14,49.15,49.26 | +| fireplace | 74.4,74.16,74.13,74.12,74.11,74.15,74.21,74.21,74.24,74.19,74.33 | +| refrigerator | 75.37,76.77,76.87,76.83,76.83,76.82,76.85,76.83,76.83,76.84,76.45 | +| grandstand | 53.23,52.97,52.94,53.0,52.92,52.9,52.92,52.94,52.93,52.95,52.75 | +| path | 21.43,21.92,22.03,22.02,22.03,22.02,22.01,22.02,22.03,22.03,21.94 | +| stairs | 34.01,31.74,31.69,31.7,31.66,31.68,31.67,31.68,31.7,31.67,31.69 | +| runway | 67.75,68.11,68.11,68.12,68.11,68.15,68.14,68.12,68.13,68.15,68.13 | +| case | 45.79,46.66,46.67,46.68,46.67,46.7,46.69,46.66,46.66,46.72,46.63 | +| pool table | 91.62,91.72,91.73,91.72,91.73,91.74,91.73,91.73,91.72,91.72,91.75 | +| pillow | 60.53,62.98,63.0,62.99,63.01,63.0,63.01,63.0,62.98,63.01,63.01 | +| screen door | 69.59,69.73,69.83,70.27,70.14,70.09,70.14,70.02,69.85,70.07,69.82 | +| stairway | 22.93,22.15,22.14,22.08,22.09,22.1,22.09,22.1,22.09,22.09,22.09 | +| river | 12.18,11.96,11.94,11.93,11.93,11.94,11.94,11.95,11.95,11.95,11.91 | +| bridge | 32.51,32.49,32.58,32.59,32.57,32.62,32.57,32.59,32.61,32.58,32.68 | +| bookcase | 46.94,46.94,46.98,46.93,46.94,46.92,46.94,46.97,46.97,46.96,46.99 | +| blind | 40.41,40.98,40.97,40.9,40.73,40.8,40.78,40.91,40.96,40.82,41.08 | +| coffee table | 53.36,52.54,52.58,52.58,52.7,52.72,52.76,52.81,52.78,52.74,52.55 | +| toilet | 83.45,83.25,83.26,83.23,83.23,83.26,83.25,83.25,83.22,83.24,83.2 | +| flower | 38.81,38.83,38.82,38.75,38.8,38.79,38.77,38.79,38.79,38.79,38.83 | +| book | 45.76,46.03,46.06,46.08,46.09,46.08,46.05,46.07,46.09,46.09,46.1 | +| hill | 16.05,16.7,16.57,16.55,16.53,16.54,16.55,16.57,16.6,16.56,16.68 | +| bench | 44.11,43.84,43.77,43.78,43.68,43.67,43.66,43.7,43.78,43.78,43.6 | +| countertop | 54.2,54.88,55.02,55.07,55.09,55.09,55.03,55.04,55.03,55.03,54.81 | +| stove | 72.35,72.73,72.63,72.62,72.66,72.67,72.56,72.55,72.58,72.63,72.69 | +| palm | 47.22,47.34,47.36,47.36,47.38,47.34,47.37,47.33,47.35,47.35,47.46 | +| kitchen island | 42.31,46.07,46.21,46.24,46.27,46.25,46.26,46.31,46.37,46.22,45.99 | +| computer | 59.83,59.41,59.42,59.42,59.42,59.4,59.43,59.42,59.41,59.43,59.51 | +| swivel chair | 43.91,44.39,44.36,44.39,44.38,44.39,44.36,44.32,44.39,44.37,44.62 | +| boat | 68.91,70.59,70.64,70.71,70.93,70.76,70.64,70.6,70.68,70.73,70.71 | +| bar | 24.1,24.43,24.46,24.46,24.46,24.46,24.47,24.47,24.46,24.45,24.37 | +| arcade machine | 68.07,73.28,73.4,73.36,73.38,73.42,73.34,73.37,73.27,73.31,72.46 | +| hovel | 33.8,31.81,31.88,31.86,31.87,31.9,31.81,31.78,31.8,31.79,31.7 | +| bus | 77.43,79.08,79.27,79.4,79.4,79.39,79.44,79.45,79.43,79.42,79.57 | +| towel | 62.62,63.72,63.67,63.61,63.62,63.63,63.61,63.61,63.64,63.61,63.59 | +| light | 55.52,55.98,56.02,56.06,56.05,56.08,56.02,56.04,56.05,56.08,56.09 | +| truck | 17.91,18.8,18.66,18.86,18.85,18.88,18.9,18.97,18.95,18.96,18.99 | +| tower | 6.74,6.78,6.81,6.81,6.82,6.82,6.81,6.81,6.82,6.8,6.73 | +| chandelier | 65.43,67.02,66.98,66.93,66.95,66.89,66.93,66.92,66.93,66.91,66.99 | +| awning | 21.14,23.28,23.28,23.31,23.28,23.3,23.25,23.26,23.26,23.24,23.33 | +| streetlight | 26.92,28.13,28.24,28.19,28.21,28.18,28.25,28.19,28.24,28.26,28.16 | +| booth | 41.68,45.02,44.94,44.96,44.97,45.01,45.05,45.03,45.05,45.06,44.94 | +| television receiver | 65.67,65.66,65.64,65.56,65.52,65.52,65.56,65.56,65.55,65.54,65.64 | +| airplane | 58.29,58.61,58.6,58.64,58.65,58.64,58.62,58.58,58.6,58.59,58.71 | +| dirt track | 17.98,20.18,20.19,20.32,20.27,20.24,20.26,20.23,20.22,20.21,20.22 | +| apparel | 35.57,35.23,35.2,35.13,35.2,35.27,35.36,35.46,35.38,35.34,34.95 | +| pole | 18.33,19.39,19.39,19.5,19.58,19.46,19.57,19.59,19.63,19.62,19.6 | +| land | 4.28,4.06,4.14,4.15,4.09,4.07,4.08,4.06,4.08,4.08,4.17 | +| bannister | 12.5,13.15,13.18,13.15,13.16,13.16,13.1,13.11,13.18,13.17,13.31 | +| escalator | 24.15,24.92,24.98,24.96,24.94,24.98,24.96,24.97,24.97,24.97,24.96 | +| ottoman | 40.82,41.24,41.25,41.3,41.32,41.31,41.37,41.32,41.31,41.29,41.18 | +| bottle | 35.99,36.49,36.51,36.5,36.42,36.48,36.44,36.45,36.42,36.43,36.63 | +| buffet | 37.21,38.92,39.21,39.07,39.03,39.01,38.82,38.75,38.64,38.79,37.66 | +| poster | 21.3,21.21,21.17,21.13,21.15,21.16,21.14,21.16,21.13,21.14,20.86 | +| stage | 13.77,14.31,14.31,14.32,14.33,14.32,14.34,14.34,14.34,14.34,14.35 | +| van | 36.74,37.0,37.07,37.08,37.07,37.07,37.1,37.09,37.07,37.06,36.98 | +| ship | 77.85,75.94,75.65,75.67,75.59,75.63,75.62,75.63,75.63,75.63,75.65 | +| fountain | 19.54,20.89,20.88,20.88,20.86,20.87,20.82,20.83,20.86,20.84,20.87 | +| conveyer belt | 85.65,85.22,85.17,85.18,85.29,85.18,85.21,85.23,85.15,85.14,85.28 | +| canopy | 26.62,25.37,25.39,25.4,25.36,25.4,25.4,25.39,25.37,25.39,25.19 | +| washer | 77.21,77.0,76.96,77.1,77.1,77.12,77.05,77.07,77.11,77.04,76.98 | +| plaything | 20.98,21.37,21.38,21.38,21.37,21.4,21.38,21.39,21.41,21.42,21.6 | +| swimming pool | 74.47,77.4,77.39,77.43,77.45,77.46,77.41,77.41,77.48,77.46,77.41 | +| stool | 44.46,45.35,45.43,45.44,45.47,45.48,45.49,45.53,45.42,45.44,45.48 | +| barrel | 47.59,50.88,50.81,50.66,50.54,50.93,50.6,50.74,50.87,50.75,53.79 | +| basket | 25.04,25.27,25.24,25.25,25.24,25.21,25.2,25.22,25.24,25.25,25.43 | +| waterfall | 51.24,50.59,50.61,50.61,50.66,50.64,50.6,50.61,50.6,50.65,51.71 | +| tent | 95.24,95.2,95.2,95.19,95.19,95.18,95.19,95.19,95.19,95.18,95.17 | +| bag | 15.5,15.82,15.87,15.83,15.86,15.83,15.86,15.83,15.83,15.84,15.84 | +| minibike | 62.76,62.82,62.89,62.87,62.92,62.88,62.86,62.88,62.89,62.89,62.98 | +| cradle | 85.07,85.71,85.7,85.68,85.65,85.65,85.69,85.69,85.69,85.72,85.65 | +| oven | 44.9,46.72,46.72,46.8,46.82,46.81,46.83,46.85,46.85,46.8,46.65 | +| ball | 42.15,44.11,44.08,44.13,44.28,44.13,44.09,44.07,44.14,44.18,44.28 | +| food | 53.54,53.83,53.88,53.84,53.94,53.97,53.95,53.85,53.85,53.92,53.92 | +| step | 6.93,6.71,6.72,6.7,6.7,6.75,6.7,6.72,6.69,6.71,6.69 | +| tank | 51.31,50.52,49.92,49.85,50.1,50.1,49.97,50.16,49.6,49.66,50.1 | +| trade name | 27.03,27.76,27.72,27.68,27.74,27.81,27.73,27.74,27.77,27.75,27.79 | +| microwave | 70.72,72.33,72.33,72.36,72.36,72.38,72.39,72.39,72.4,72.41,72.45 | +| pot | 30.79,30.79,30.88,30.81,30.79,30.8,30.8,30.81,30.81,30.82,30.74 | +| animal | 53.6,53.8,53.81,53.79,53.78,53.8,53.79,53.79,53.79,53.79,53.8 | +| bicycle | 53.13,54.4,54.4,54.36,54.36,54.38,54.37,54.39,54.39,54.41,54.91 | +| lake | 57.84,57.76,57.74,57.75,57.75,57.75,57.76,57.76,57.75,57.75,57.84 | +| dishwasher | 67.34,66.43,66.16,66.12,66.1,66.05,65.99,66.1,66.12,66.05,65.55 | +| screen | 68.05,64.18,64.12,64.17,64.19,64.19,64.13,64.09,64.18,64.13,64.17 | +| blanket | 19.66,20.97,21.05,20.93,20.87,20.92,20.96,21.02,20.94,21.0,20.99 | +| sculpture | 56.54,56.7,56.5,56.58,56.61,56.6,56.66,56.7,56.73,56.57,56.58 | +| hood | 60.63,59.92,59.81,59.86,59.82,59.84,59.81,59.78,59.8,59.82,59.74 | +| sconce | 42.97,43.28,43.28,43.31,43.34,43.34,43.38,43.36,43.36,43.39,43.56 | +| vase | 37.3,38.52,38.63,38.57,38.58,38.59,38.52,38.52,38.56,38.53,38.59 | +| traffic light | 33.82,33.68,33.66,33.66,33.64,33.64,33.62,33.62,33.59,33.6,33.6 | +| tray | 8.86,8.61,8.73,8.77,8.87,8.88,8.78,8.77,8.79,8.77,8.41 | +| ashcan | 41.12,40.0,40.0,39.94,39.85,39.86,39.88,39.93,39.85,39.85,39.85 | +| fan | 57.62,58.28,58.47,58.58,58.51,58.57,58.5,58.46,58.51,58.54,58.45 | +| pier | 47.58,43.63,43.23,44.81,44.22,42.96,43.25,44.41,44.64,44.65,43.61 | +| crt screen | 9.52,13.09,13.17,13.18,13.17,13.18,13.1,13.12,13.18,13.21,13.28 | +| plate | 52.38,53.19,53.24,53.27,53.27,53.31,53.26,53.28,53.29,53.33,53.33 | +| monitor | 38.05,44.18,44.84,45.05,44.99,45.0,44.22,44.4,44.89,44.89,45.78 | +| bulletin board | 36.92,36.62,36.36,36.33,36.35,36.37,36.34,36.37,36.4,36.4,36.39 | +| shower | 1.93,2.04,2.03,2.06,2.07,2.03,2.07,2.05,2.03,2.04,2.05 | +| radiator | 63.51,65.69,66.02,66.03,66.03,66.12,66.01,65.71,65.75,65.71,65.96 | +| glass | 13.61,13.3,13.25,13.21,13.21,13.19,13.17,13.2,13.18,13.2,13.23 | +| clock | 38.32,38.45,38.39,38.35,38.32,38.32,38.22,38.28,38.27,38.24,38.49 | +| flag | 36.0,35.8,35.88,35.84,35.85,35.82,35.79,35.78,35.8,35.8,35.86 | ++---------------------+-------------------------------------------------------------------+ +2023-03-05 08:28:24,773 - mmseg - INFO - Summary: +2023-03-05 08:28:24,774 - mmseg - INFO - ++------------------------------------------------------------------+ +| mIoU 0,10,20,30,40,50,60,70,80,90,99 | ++------------------------------------------------------------------+ +| 48.7,49.11,49.12,49.13,49.13,49.13,49.11,49.12,49.13,49.13,49.14 | ++------------------------------------------------------------------+ +2023-03-05 08:28:24,774 - mmseg - INFO - Exp name: ablation_segformer_mit_b2_segformer_head_unet_fc_small_multi_step_ade_pretrained_freeze_embed_160k_ade20k151_mask_finetune_maskonly.py +2023-03-05 08:28:24,774 - mmseg - INFO - Iter(val) [250] mIoU: [0.487, 0.4911, 0.4912, 0.4913, 0.4913, 0.4913, 0.4911, 0.4912, 0.4913, 0.4913, 0.4914], copy_paste: 48.7,49.11,49.12,49.13,49.13,49.13,49.11,49.12,49.13,49.13,49.14 diff --git a/ablation/ablation_segformer_mit_b2_segformer_head_unet_fc_small_multi_step_ade_pretrained_freeze_embed_160k_ade20k151_mask_finetune_maskonly/20230304_215020.log.json b/ablation/ablation_segformer_mit_b2_segformer_head_unet_fc_small_multi_step_ade_pretrained_freeze_embed_160k_ade20k151_mask_finetune_maskonly/20230304_215020.log.json new file mode 100644 index 0000000000000000000000000000000000000000..475d0e8129c619fb0519b61f6856765dac4a592e --- /dev/null +++ b/ablation/ablation_segformer_mit_b2_segformer_head_unet_fc_small_multi_step_ade_pretrained_freeze_embed_160k_ade20k151_mask_finetune_maskonly/20230304_215020.log.json @@ -0,0 +1,3211 @@ +{"env_info": "sys.platform: linux\nPython: 3.7.16 (default, Jan 17 2023, 22:20:44) [GCC 11.2.0]\nCUDA available: True\nGPU 0,1,2,3,4,5,6,7: NVIDIA A100-SXM4-80GB\nCUDA_HOME: /mnt/petrelfs/laizeqiang/miniconda3/envs/torch\nNVCC: Cuda compilation tools, release 11.6, V11.6.124\nGCC: gcc (GCC) 4.8.5 20150623 (Red Hat 4.8.5-44)\nPyTorch: 1.13.1\nPyTorch compiling details: PyTorch built with:\n - GCC 9.3\n - C++ Version: 201402\n - Intel(R) oneAPI Math Kernel Library Version 2021.4-Product Build 20210904 for Intel(R) 64 architecture applications\n - Intel(R) MKL-DNN v2.6.0 (Git Hash 52b5f107dd9cf10910aaa19cb47f3abf9b349815)\n - OpenMP 201511 (a.k.a. OpenMP 4.5)\n - LAPACK is enabled (usually provided by MKL)\n - NNPACK is enabled\n - CPU capability usage: AVX2\n - CUDA Runtime 11.6\n - NVCC architecture flags: -gencode;arch=compute_37,code=sm_37;-gencode;arch=compute_50,code=sm_50;-gencode;arch=compute_60,code=sm_60;-gencode;arch=compute_61,code=sm_61;-gencode;arch=compute_70,code=sm_70;-gencode;arch=compute_75,code=sm_75;-gencode;arch=compute_80,code=sm_80;-gencode;arch=compute_86,code=sm_86;-gencode;arch=compute_37,code=compute_37\n - CuDNN 8.3.2 (built against CUDA 11.5)\n - Magma 2.6.1\n - Build settings: BLAS_INFO=mkl, BUILD_TYPE=Release, CUDA_VERSION=11.6, CUDNN_VERSION=8.3.2, CXX_COMPILER=/opt/rh/devtoolset-9/root/usr/bin/c++, CXX_FLAGS= -fabi-version=11 -Wno-deprecated -fvisibility-inlines-hidden -DUSE_PTHREADPOOL -fopenmp -DNDEBUG -DUSE_KINETO -DUSE_FBGEMM -DUSE_QNNPACK -DUSE_PYTORCH_QNNPACK -DUSE_XNNPACK -DSYMBOLICATE_MOBILE_DEBUG_HANDLE -DEDGE_PROFILER_USE_KINETO -O2 -fPIC -Wno-narrowing -Wall -Wextra -Werror=return-type -Werror=non-virtual-dtor -Wno-missing-field-initializers -Wno-type-limits -Wno-array-bounds -Wno-unknown-pragmas -Wunused-local-typedefs -Wno-unused-parameter -Wno-unused-function -Wno-unused-result -Wno-strict-overflow -Wno-strict-aliasing -Wno-error=deprecated-declarations -Wno-stringop-overflow -Wno-psabi -Wno-error=pedantic -Wno-error=redundant-decls -Wno-error=old-style-cast -fdiagnostics-color=always -faligned-new -Wno-unused-but-set-variable -Wno-maybe-uninitialized -fno-math-errno -fno-trapping-math -Werror=format -Werror=cast-function-type -Wno-stringop-overflow, LAPACK_INFO=mkl, PERF_WITH_AVX=1, PERF_WITH_AVX2=1, PERF_WITH_AVX512=1, TORCH_VERSION=1.13.1, USE_CUDA=ON, USE_CUDNN=ON, USE_EXCEPTION_PTR=1, USE_GFLAGS=OFF, USE_GLOG=OFF, USE_MKL=ON, USE_MKLDNN=ON, USE_MPI=OFF, USE_NCCL=ON, USE_NNPACK=ON, USE_OPENMP=ON, USE_ROCM=OFF, \n\nTorchVision: 0.14.1\nOpenCV: 4.7.0\nMMCV: 1.7.1\nMMCV Compiler: GCC 9.3\nMMCV CUDA Compiler: 11.6\nMMSegmentation: 0.30.0+6749699", "seed": 524175593, "exp_name": "ablation_segformer_mit_b2_segformer_head_unet_fc_small_multi_step_ade_pretrained_freeze_embed_160k_ade20k151_mask_finetune_maskonly.py", "mmseg_version": "0.30.0+6749699", "config": "norm_cfg = dict(type='SyncBN', requires_grad=True)\ncheckpoint = 'work_dirs2/ablation_segformer_mit_b2_segformer_head_unet_fc_single_step_ade_pretrained_freeze_embed_80k_ade20k151_mask/latest.pth'\nmodel = dict(\n type='EncoderDecoderDiffusion',\n freeze_parameters=['backbone', 'decode_head'],\n pretrained=\n 'work_dirs2/ablation_segformer_mit_b2_segformer_head_unet_fc_single_step_ade_pretrained_freeze_embed_80k_ade20k151_mask/latest.pth',\n backbone=dict(\n type='MixVisionTransformerCustomInitWeights',\n in_channels=3,\n embed_dims=64,\n num_stages=4,\n num_layers=[3, 4, 6, 3],\n num_heads=[1, 2, 5, 8],\n patch_sizes=[7, 3, 3, 3],\n sr_ratios=[8, 4, 2, 1],\n out_indices=(0, 1, 2, 3),\n mlp_ratio=4,\n qkv_bias=True,\n drop_rate=0.0,\n attn_drop_rate=0.0,\n drop_path_rate=0.1,\n pretrained=\n 'work_dirs2/ablation_segformer_mit_b2_segformer_head_unet_fc_single_step_ade_pretrained_freeze_embed_80k_ade20k151_mask/latest.pth'\n ),\n decode_head=dict(\n type='SegformerHeadUnetFCHeadMultiStepMaskOnly',\n pretrained=\n 'work_dirs2/ablation_segformer_mit_b2_segformer_head_unet_fc_single_step_ade_pretrained_freeze_embed_80k_ade20k151_mask/latest.pth',\n dim=128,\n out_dim=256,\n unet_channels=272,\n dim_mults=[1, 1, 1],\n cat_embedding_dim=16,\n diffusion_timesteps=100,\n collect_timesteps=[0, 10, 20, 30, 40, 50, 60, 70, 80, 90, 99],\n in_channels=[64, 128, 320, 512],\n in_index=[0, 1, 2, 3],\n channels=256,\n dropout_ratio=0.1,\n num_classes=151,\n norm_cfg=dict(type='SyncBN', requires_grad=True),\n align_corners=False,\n ignore_index=0,\n loss_decode=dict(\n type='CrossEntropyLoss', use_sigmoid=False, loss_weight=1.0)),\n train_cfg=dict(),\n test_cfg=dict(mode='whole'))\ndataset_type = 'ADE20K151Dataset'\ndata_root = 'data/ade/ADEChallengeData2016'\nimg_norm_cfg = dict(\n mean=[123.675, 116.28, 103.53], std=[58.395, 57.12, 57.375], to_rgb=True)\ncrop_size = (512, 512)\ntrain_pipeline = [\n dict(type='LoadImageFromFile'),\n dict(type='LoadAnnotations', reduce_zero_label=False),\n dict(type='Resize', img_scale=(2048, 512), ratio_range=(0.5, 2.0)),\n dict(type='RandomCrop', crop_size=(512, 512), cat_max_ratio=0.75),\n dict(type='RandomFlip', prob=0.5),\n dict(type='PhotoMetricDistortion'),\n dict(\n type='Normalize',\n mean=[123.675, 116.28, 103.53],\n std=[58.395, 57.12, 57.375],\n to_rgb=True),\n dict(type='Pad', size=(512, 512), pad_val=0, seg_pad_val=0),\n dict(type='DefaultFormatBundle'),\n dict(type='Collect', keys=['img', 'gt_semantic_seg'])\n]\ntest_pipeline = [\n dict(type='LoadImageFromFile'),\n dict(\n type='MultiScaleFlipAug',\n img_scale=(2048, 512),\n flip=False,\n transforms=[\n dict(type='Resize', keep_ratio=True),\n dict(type='RandomFlip'),\n dict(\n type='Normalize',\n mean=[123.675, 116.28, 103.53],\n std=[58.395, 57.12, 57.375],\n to_rgb=True),\n dict(type='Pad', size_divisor=16, pad_val=0, seg_pad_val=0),\n dict(type='ImageToTensor', keys=['img']),\n dict(type='Collect', keys=['img'])\n ])\n]\ndata = dict(\n samples_per_gpu=4,\n workers_per_gpu=4,\n train=dict(\n type='ADE20K151Dataset',\n data_root='data/ade/ADEChallengeData2016',\n img_dir='images/training',\n ann_dir='annotations/training',\n pipeline=[\n dict(type='LoadImageFromFile'),\n dict(type='LoadAnnotations', reduce_zero_label=False),\n dict(type='Resize', img_scale=(2048, 512), ratio_range=(0.5, 2.0)),\n dict(type='RandomCrop', crop_size=(512, 512), cat_max_ratio=0.75),\n dict(type='RandomFlip', prob=0.5),\n dict(type='PhotoMetricDistortion'),\n dict(\n type='Normalize',\n mean=[123.675, 116.28, 103.53],\n std=[58.395, 57.12, 57.375],\n to_rgb=True),\n dict(type='Pad', size=(512, 512), pad_val=0, seg_pad_val=0),\n dict(type='DefaultFormatBundle'),\n dict(type='Collect', keys=['img', 'gt_semantic_seg'])\n ]),\n val=dict(\n type='ADE20K151Dataset',\n data_root='data/ade/ADEChallengeData2016',\n img_dir='images/validation',\n ann_dir='annotations/validation',\n pipeline=[\n dict(type='LoadImageFromFile'),\n dict(\n type='MultiScaleFlipAug',\n img_scale=(2048, 512),\n flip=False,\n transforms=[\n dict(type='Resize', keep_ratio=True),\n dict(type='RandomFlip'),\n dict(\n type='Normalize',\n mean=[123.675, 116.28, 103.53],\n std=[58.395, 57.12, 57.375],\n to_rgb=True),\n dict(\n type='Pad', size_divisor=16, pad_val=0, seg_pad_val=0),\n dict(type='ImageToTensor', keys=['img']),\n dict(type='Collect', keys=['img'])\n ])\n ]),\n test=dict(\n type='ADE20K151Dataset',\n data_root='data/ade/ADEChallengeData2016',\n img_dir='images/validation',\n ann_dir='annotations/validation',\n pipeline=[\n dict(type='LoadImageFromFile'),\n dict(\n type='MultiScaleFlipAug',\n img_scale=(2048, 512),\n flip=False,\n transforms=[\n dict(type='Resize', keep_ratio=True),\n dict(type='RandomFlip'),\n dict(\n type='Normalize',\n mean=[123.675, 116.28, 103.53],\n std=[58.395, 57.12, 57.375],\n to_rgb=True),\n dict(\n type='Pad', size_divisor=16, pad_val=0, seg_pad_val=0),\n dict(type='ImageToTensor', keys=['img']),\n dict(type='Collect', keys=['img'])\n ])\n ]))\nlog_config = dict(\n interval=50, hooks=[dict(type='TextLoggerHook', by_epoch=False)])\ndist_params = dict(backend='nccl')\nlog_level = 'INFO'\nload_from = None\nresume_from = None\nworkflow = [('train', 1)]\ncudnn_benchmark = True\noptimizer = dict(\n type='AdamW', lr=0.00015, betas=[0.9, 0.96], weight_decay=0.045)\noptimizer_config = dict()\nlr_config = dict(\n policy='step',\n warmup='linear',\n warmup_iters=1000,\n warmup_ratio=1e-06,\n step=20000,\n gamma=0.5,\n min_lr=1e-06,\n by_epoch=False)\nrunner = dict(type='IterBasedRunner', max_iters=160000)\ncheckpoint_config = dict(by_epoch=False, interval=16000, max_keep_ckpts=1)\nevaluation = dict(\n interval=16000, metric='mIoU', pre_eval=True, 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"48.7,49.11,49.12,49.13,49.13,49.13,49.11,49.12,49.13,49.13,49.14"} diff --git a/ablation/ablation_segformer_mit_b2_segformer_head_unet_fc_small_multi_step_ade_pretrained_freeze_embed_160k_ade20k151_mask_finetune_maskonly/ablation_segformer_mit_b2_segformer_head_unet_fc_small_multi_step_ade_pretrained_freeze_embed_160k_ade20k151_mask_finetune_maskonly.py b/ablation/ablation_segformer_mit_b2_segformer_head_unet_fc_small_multi_step_ade_pretrained_freeze_embed_160k_ade20k151_mask_finetune_maskonly/ablation_segformer_mit_b2_segformer_head_unet_fc_small_multi_step_ade_pretrained_freeze_embed_160k_ade20k151_mask_finetune_maskonly.py new file mode 100644 index 0000000000000000000000000000000000000000..8bf24b31a75d608a1e5feeb317a0f8a4d893e09c --- /dev/null +++ b/ablation/ablation_segformer_mit_b2_segformer_head_unet_fc_small_multi_step_ade_pretrained_freeze_embed_160k_ade20k151_mask_finetune_maskonly/ablation_segformer_mit_b2_segformer_head_unet_fc_small_multi_step_ade_pretrained_freeze_embed_160k_ade20k151_mask_finetune_maskonly.py @@ -0,0 +1,195 @@ +norm_cfg = dict(type='SyncBN', requires_grad=True) +checkpoint = 'work_dirs2/ablation_segformer_mit_b2_segformer_head_unet_fc_single_step_ade_pretrained_freeze_embed_80k_ade20k151_mask/latest.pth' +model = dict( + type='EncoderDecoderDiffusion', + freeze_parameters=['backbone', 'decode_head'], + pretrained= + 'work_dirs2/ablation_segformer_mit_b2_segformer_head_unet_fc_single_step_ade_pretrained_freeze_embed_80k_ade20k151_mask/latest.pth', + backbone=dict( + type='MixVisionTransformerCustomInitWeights', + in_channels=3, + embed_dims=64, + num_stages=4, + num_layers=[3, 4, 6, 3], + num_heads=[1, 2, 5, 8], + patch_sizes=[7, 3, 3, 3], + sr_ratios=[8, 4, 2, 1], + out_indices=(0, 1, 2, 3), + mlp_ratio=4, + qkv_bias=True, + drop_rate=0.0, + attn_drop_rate=0.0, + drop_path_rate=0.1), + decode_head=dict( + type='SegformerHeadUnetFCHeadMultiStepMaskOnly', + pretrained= + 'work_dirs2/ablation_segformer_mit_b2_segformer_head_unet_fc_single_step_ade_pretrained_freeze_embed_80k_ade20k151_mask/latest.pth', + dim=128, + out_dim=256, + unet_channels=272, + dim_mults=[1, 1, 1], + cat_embedding_dim=16, + diffusion_timesteps=100, + collect_timesteps=[0, 10, 20, 30, 40, 50, 60, 70, 80, 90, 99], + in_channels=[64, 128, 320, 512], + in_index=[0, 1, 2, 3], + channels=256, + dropout_ratio=0.1, + num_classes=151, + norm_cfg=dict(type='SyncBN', requires_grad=True), + align_corners=False, + ignore_index=0, + loss_decode=dict( + type='CrossEntropyLoss', use_sigmoid=False, loss_weight=1.0)), + train_cfg=dict(), + test_cfg=dict(mode='whole')) +dataset_type = 'ADE20K151Dataset' +data_root = 'data/ade/ADEChallengeData2016' +img_norm_cfg = dict( + mean=[123.675, 116.28, 103.53], std=[58.395, 57.12, 57.375], to_rgb=True) +crop_size = (512, 512) +train_pipeline = [ + dict(type='LoadImageFromFile'), + dict(type='LoadAnnotations', reduce_zero_label=False), + dict(type='Resize', img_scale=(2048, 512), ratio_range=(0.5, 2.0)), + dict(type='RandomCrop', crop_size=(512, 512), cat_max_ratio=0.75), + dict(type='RandomFlip', prob=0.5), + dict(type='PhotoMetricDistortion'), + dict( + type='Normalize', + mean=[123.675, 116.28, 103.53], + std=[58.395, 57.12, 57.375], + to_rgb=True), + dict(type='Pad', size=(512, 512), pad_val=0, seg_pad_val=0), + dict(type='DefaultFormatBundle'), + dict(type='Collect', keys=['img', 'gt_semantic_seg']) +] +test_pipeline = [ + dict(type='LoadImageFromFile'), + dict( + type='MultiScaleFlipAug', + img_scale=(2048, 512), + flip=False, + transforms=[ + dict(type='Resize', keep_ratio=True), + dict(type='RandomFlip'), + dict( + type='Normalize', + mean=[123.675, 116.28, 103.53], + std=[58.395, 57.12, 57.375], + to_rgb=True), + dict(type='Pad', size_divisor=16, pad_val=0, seg_pad_val=0), + dict(type='ImageToTensor', keys=['img']), + dict(type='Collect', keys=['img']) + ]) +] +data = dict( + samples_per_gpu=4, + workers_per_gpu=4, + train=dict( + type='ADE20K151Dataset', + data_root='data/ade/ADEChallengeData2016', + img_dir='images/training', + ann_dir='annotations/training', + pipeline=[ + dict(type='LoadImageFromFile'), + dict(type='LoadAnnotations', reduce_zero_label=False), + dict(type='Resize', img_scale=(2048, 512), ratio_range=(0.5, 2.0)), + dict(type='RandomCrop', crop_size=(512, 512), cat_max_ratio=0.75), + dict(type='RandomFlip', prob=0.5), + dict(type='PhotoMetricDistortion'), + dict( + type='Normalize', + mean=[123.675, 116.28, 103.53], + std=[58.395, 57.12, 57.375], + to_rgb=True), + dict(type='Pad', size=(512, 512), pad_val=0, seg_pad_val=0), + dict(type='DefaultFormatBundle'), + dict(type='Collect', keys=['img', 'gt_semantic_seg']) + ]), + val=dict( + type='ADE20K151Dataset', + data_root='data/ade/ADEChallengeData2016', + img_dir='images/validation', + ann_dir='annotations/validation', + pipeline=[ + dict(type='LoadImageFromFile'), + dict( + type='MultiScaleFlipAug', + img_scale=(2048, 512), + flip=False, + transforms=[ + dict(type='Resize', keep_ratio=True), + dict(type='RandomFlip'), + dict( + type='Normalize', + mean=[123.675, 116.28, 103.53], + std=[58.395, 57.12, 57.375], + to_rgb=True), + dict( + type='Pad', size_divisor=16, pad_val=0, seg_pad_val=0), + dict(type='ImageToTensor', keys=['img']), + dict(type='Collect', keys=['img']) + ]) + ]), + test=dict( + type='ADE20K151Dataset', + data_root='data/ade/ADEChallengeData2016', + img_dir='images/validation', + ann_dir='annotations/validation', + pipeline=[ + dict(type='LoadImageFromFile'), + dict( + type='MultiScaleFlipAug', + img_scale=(2048, 512), + flip=False, + transforms=[ + dict(type='Resize', keep_ratio=True), + dict(type='RandomFlip'), + dict( + type='Normalize', + mean=[123.675, 116.28, 103.53], + std=[58.395, 57.12, 57.375], + to_rgb=True), + dict( + type='Pad', size_divisor=16, pad_val=0, seg_pad_val=0), + dict(type='ImageToTensor', keys=['img']), + dict(type='Collect', keys=['img']) + ]) + ])) +log_config = dict( + interval=50, hooks=[dict(type='TextLoggerHook', by_epoch=False)]) +dist_params = dict(backend='nccl') +log_level = 'INFO' +load_from = None +resume_from = None +workflow = [('train', 1)] +cudnn_benchmark = True +optimizer = dict( + type='AdamW', lr=0.00015, betas=[0.9, 0.96], weight_decay=0.045) +optimizer_config = dict() +lr_config = dict( + policy='step', + warmup='linear', + warmup_iters=1000, + warmup_ratio=1e-06, + step=20000, + gamma=0.5, + min_lr=1e-06, + by_epoch=False) +runner = dict(type='IterBasedRunner', max_iters=160000) +checkpoint_config = dict(by_epoch=False, interval=16000, max_keep_ckpts=1) +evaluation = dict( + interval=16000, metric='mIoU', pre_eval=True, save_best='mIoU') +custom_hooks = [ + dict( + type='ConstantMomentumEMAHook', + momentum=0.01, + interval=25, + eval_interval=16000, + auto_resume=True, + priority=49) +] +work_dir = './work_dirs2/ablation_segformer_mit_b2_segformer_head_unet_fc_small_multi_step_ade_pretrained_freeze_embed_160k_ade20k151_mask_finetune_maskonly' +gpu_ids = range(0, 8) +auto_resume = True diff --git a/ablation/ablation_segformer_mit_b2_segformer_head_unet_fc_small_multi_step_ade_pretrained_freeze_embed_160k_ade20k151_mask_finetune_maskonly/best_mIoU_iter_128000.pth b/ablation/ablation_segformer_mit_b2_segformer_head_unet_fc_small_multi_step_ade_pretrained_freeze_embed_160k_ade20k151_mask_finetune_maskonly/best_mIoU_iter_128000.pth new file mode 100644 index 0000000000000000000000000000000000000000..163a8e67197bfb3e09aaa4f9f1a24281ceecd513 --- /dev/null +++ b/ablation/ablation_segformer_mit_b2_segformer_head_unet_fc_small_multi_step_ade_pretrained_freeze_embed_160k_ade20k151_mask_finetune_maskonly/best_mIoU_iter_128000.pth @@ -0,0 +1,3 @@ +version https://git-lfs.github.com/spec/v1 +oid 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/mnt/petrelfs/laizeqiang/miniconda3/envs/torch +NVCC: Cuda compilation tools, release 11.6, V11.6.124 +GCC: gcc (GCC) 4.8.5 20150623 (Red Hat 4.8.5-44) +PyTorch: 1.13.1 +PyTorch compiling details: PyTorch built with: + - GCC 9.3 + - C++ Version: 201402 + - Intel(R) oneAPI Math Kernel Library Version 2021.4-Product Build 20210904 for Intel(R) 64 architecture applications + - Intel(R) MKL-DNN v2.6.0 (Git Hash 52b5f107dd9cf10910aaa19cb47f3abf9b349815) + - OpenMP 201511 (a.k.a. OpenMP 4.5) + - LAPACK is enabled (usually provided by MKL) + - NNPACK is enabled + - CPU capability usage: AVX2 + - CUDA Runtime 11.6 + - NVCC architecture flags: -gencode;arch=compute_37,code=sm_37;-gencode;arch=compute_50,code=sm_50;-gencode;arch=compute_60,code=sm_60;-gencode;arch=compute_61,code=sm_61;-gencode;arch=compute_70,code=sm_70;-gencode;arch=compute_75,code=sm_75;-gencode;arch=compute_80,code=sm_80;-gencode;arch=compute_86,code=sm_86;-gencode;arch=compute_37,code=compute_37 + - CuDNN 8.3.2 (built against CUDA 11.5) + - Magma 2.6.1 + - Build settings: BLAS_INFO=mkl, BUILD_TYPE=Release, CUDA_VERSION=11.6, CUDNN_VERSION=8.3.2, CXX_COMPILER=/opt/rh/devtoolset-9/root/usr/bin/c++, CXX_FLAGS= -fabi-version=11 -Wno-deprecated -fvisibility-inlines-hidden -DUSE_PTHREADPOOL -fopenmp -DNDEBUG -DUSE_KINETO -DUSE_FBGEMM -DUSE_QNNPACK -DUSE_PYTORCH_QNNPACK -DUSE_XNNPACK -DSYMBOLICATE_MOBILE_DEBUG_HANDLE -DEDGE_PROFILER_USE_KINETO -O2 -fPIC -Wno-narrowing -Wall -Wextra -Werror=return-type -Werror=non-virtual-dtor -Wno-missing-field-initializers -Wno-type-limits -Wno-array-bounds -Wno-unknown-pragmas -Wunused-local-typedefs -Wno-unused-parameter -Wno-unused-function -Wno-unused-result -Wno-strict-overflow -Wno-strict-aliasing -Wno-error=deprecated-declarations -Wno-stringop-overflow -Wno-psabi -Wno-error=pedantic -Wno-error=redundant-decls -Wno-error=old-style-cast -fdiagnostics-color=always -faligned-new -Wno-unused-but-set-variable -Wno-maybe-uninitialized -fno-math-errno -fno-trapping-math -Werror=format -Werror=cast-function-type -Wno-stringop-overflow, LAPACK_INFO=mkl, PERF_WITH_AVX=1, PERF_WITH_AVX2=1, PERF_WITH_AVX512=1, TORCH_VERSION=1.13.1, USE_CUDA=ON, USE_CUDNN=ON, USE_EXCEPTION_PTR=1, USE_GFLAGS=OFF, USE_GLOG=OFF, USE_MKL=ON, USE_MKLDNN=ON, USE_MPI=OFF, USE_NCCL=ON, USE_NNPACK=ON, USE_OPENMP=ON, USE_ROCM=OFF, + +TorchVision: 0.14.1 +OpenCV: 4.7.0 +MMCV: 1.7.1 +MMCV Compiler: GCC 9.3 +MMCV CUDA Compiler: 11.6 +MMSegmentation: 0.30.0+6749699 +------------------------------------------------------------ + +2023-03-04 23:30:35,064 - mmseg - INFO - Distributed training: True +2023-03-04 23:30:35,739 - mmseg - INFO - Config: +norm_cfg = dict(type='SyncBN', requires_grad=True) +checkpoint = 'work_dirs2/ablation_segformer_mit_b2_segformer_head_unet_fc_single_step_ade_pretrained_freeze_embed_80k_ade20k151_mask/latest.pth' +model = dict( + type='EncoderDecoderDiffusion', + freeze_parameters=['backbone', 'decode_head'], + pretrained= + 'work_dirs2/ablation_segformer_mit_b2_segformer_head_unet_fc_single_step_ade_pretrained_freeze_embed_80k_ade20k151_mask/latest.pth', + backbone=dict( + type='MixVisionTransformerCustomInitWeights', + in_channels=3, + embed_dims=64, + num_stages=4, + num_layers=[3, 4, 6, 3], + num_heads=[1, 2, 5, 8], + patch_sizes=[7, 3, 3, 3], + sr_ratios=[8, 4, 2, 1], + out_indices=(0, 1, 2, 3), + mlp_ratio=4, + qkv_bias=True, + drop_rate=0.0, + attn_drop_rate=0.0, + drop_path_rate=0.1), + decode_head=dict( + type='SegformerHeadUnetFCHeadMultiStepMaskReplace', + pretrained= + 'work_dirs2/ablation_segformer_mit_b2_segformer_head_unet_fc_single_step_ade_pretrained_freeze_embed_80k_ade20k151_mask/latest.pth', + dim=128, + out_dim=256, + unet_channels=272, + dim_mults=[1, 1, 1], + cat_embedding_dim=16, + diffusion_timesteps=100, + collect_timesteps=[0, 10, 20, 30, 40, 50, 60, 70, 80, 90, 99], + in_channels=[64, 128, 320, 512], + in_index=[0, 1, 2, 3], + channels=256, + dropout_ratio=0.1, + num_classes=151, + norm_cfg=dict(type='SyncBN', requires_grad=True), + align_corners=False, + ignore_index=0, + loss_decode=dict( + type='CrossEntropyLoss', use_sigmoid=False, loss_weight=1.0)), + train_cfg=dict(), + test_cfg=dict(mode='whole')) +dataset_type = 'ADE20K151Dataset' +data_root = 'data/ade/ADEChallengeData2016' +img_norm_cfg = dict( + mean=[123.675, 116.28, 103.53], std=[58.395, 57.12, 57.375], to_rgb=True) +crop_size = (512, 512) +train_pipeline = [ + dict(type='LoadImageFromFile'), + dict(type='LoadAnnotations', reduce_zero_label=False), + dict(type='Resize', img_scale=(2048, 512), ratio_range=(0.5, 2.0)), + dict(type='RandomCrop', crop_size=(512, 512), cat_max_ratio=0.75), + dict(type='RandomFlip', prob=0.5), + dict(type='PhotoMetricDistortion'), + dict( + type='Normalize', + mean=[123.675, 116.28, 103.53], + std=[58.395, 57.12, 57.375], + to_rgb=True), + dict(type='Pad', size=(512, 512), pad_val=0, seg_pad_val=0), + dict(type='DefaultFormatBundle'), + dict(type='Collect', keys=['img', 'gt_semantic_seg']) +] +test_pipeline = [ + dict(type='LoadImageFromFile'), + dict( + type='MultiScaleFlipAug', + img_scale=(2048, 512), + flip=False, + transforms=[ + dict(type='Resize', keep_ratio=True), + dict(type='RandomFlip'), + dict( + type='Normalize', + mean=[123.675, 116.28, 103.53], + std=[58.395, 57.12, 57.375], + to_rgb=True), + dict(type='Pad', size_divisor=16, pad_val=0, seg_pad_val=0), + dict(type='ImageToTensor', keys=['img']), + dict(type='Collect', keys=['img']) + ]) +] +data = dict( + samples_per_gpu=4, + workers_per_gpu=4, + train=dict( + type='ADE20K151Dataset', + data_root='data/ade/ADEChallengeData2016', + img_dir='images/training', + ann_dir='annotations/training', + pipeline=[ + dict(type='LoadImageFromFile'), + dict(type='LoadAnnotations', reduce_zero_label=False), + dict(type='Resize', img_scale=(2048, 512), ratio_range=(0.5, 2.0)), + dict(type='RandomCrop', crop_size=(512, 512), cat_max_ratio=0.75), + dict(type='RandomFlip', prob=0.5), + dict(type='PhotoMetricDistortion'), + dict( + type='Normalize', + mean=[123.675, 116.28, 103.53], + std=[58.395, 57.12, 57.375], + to_rgb=True), + dict(type='Pad', size=(512, 512), pad_val=0, seg_pad_val=0), + dict(type='DefaultFormatBundle'), + dict(type='Collect', keys=['img', 'gt_semantic_seg']) + ]), + val=dict( + type='ADE20K151Dataset', + data_root='data/ade/ADEChallengeData2016', + img_dir='images/validation', + ann_dir='annotations/validation', + pipeline=[ + dict(type='LoadImageFromFile'), + dict( + type='MultiScaleFlipAug', + img_scale=(2048, 512), + flip=False, + transforms=[ + dict(type='Resize', keep_ratio=True), + dict(type='RandomFlip'), + dict( + type='Normalize', + mean=[123.675, 116.28, 103.53], + std=[58.395, 57.12, 57.375], + to_rgb=True), + dict( + type='Pad', size_divisor=16, pad_val=0, seg_pad_val=0), + dict(type='ImageToTensor', keys=['img']), + dict(type='Collect', keys=['img']) + ]) + ]), + test=dict( + type='ADE20K151Dataset', + data_root='data/ade/ADEChallengeData2016', + img_dir='images/validation', + ann_dir='annotations/validation', + pipeline=[ + dict(type='LoadImageFromFile'), + dict( + type='MultiScaleFlipAug', + img_scale=(2048, 512), + flip=False, + transforms=[ + dict(type='Resize', keep_ratio=True), + dict(type='RandomFlip'), + dict( + type='Normalize', + mean=[123.675, 116.28, 103.53], + std=[58.395, 57.12, 57.375], + to_rgb=True), + dict( + type='Pad', size_divisor=16, pad_val=0, seg_pad_val=0), + dict(type='ImageToTensor', keys=['img']), + dict(type='Collect', keys=['img']) + ]) + ])) +log_config = dict( + interval=50, hooks=[dict(type='TextLoggerHook', by_epoch=False)]) +dist_params = dict(backend='nccl') +log_level = 'INFO' +load_from = None +resume_from = None +workflow = [('train', 1)] +cudnn_benchmark = True +optimizer = dict( + type='AdamW', lr=0.00015, betas=[0.9, 0.96], weight_decay=0.045) +optimizer_config = dict() +lr_config = dict( + policy='step', + warmup='linear', + warmup_iters=1000, + warmup_ratio=1e-06, + step=20000, + gamma=0.5, + min_lr=1e-06, + by_epoch=False) +runner = dict(type='IterBasedRunner', max_iters=160000) +checkpoint_config = dict(by_epoch=False, interval=16000, max_keep_ckpts=1) +evaluation = dict( + interval=16000, metric='mIoU', pre_eval=True, save_best='mIoU') +custom_hooks = [ + dict( + type='ConstantMomentumEMAHook', + momentum=0.01, + interval=25, + eval_interval=16000, + auto_resume=True, + priority=49) +] +work_dir = './work_dirs2/ablation_segformer_mit_b2_segformer_head_unet_fc_small_multi_step_ade_pretrained_freeze_embed_160k_ade20k151_mask_finetune_maskreplace' +gpu_ids = range(0, 8) +auto_resume = True + +2023-03-04 23:30:40,031 - mmseg - INFO - Set random seed to 882071875, deterministic: False +2023-03-04 23:30:40,288 - mmseg - INFO - Parameters in backbone freezed! +2023-03-04 23:30:40,289 - mmseg - INFO - Trainable parameters in SegformerHeadUnetFCHeadMultiStep: ['unet.init_conv.weight', 'unet.init_conv.bias', 'unet.time_mlp.1.weight', 'unet.time_mlp.1.bias', 'unet.time_mlp.3.weight', 'unet.time_mlp.3.bias', 'unet.downs.0.0.mlp.1.weight', 'unet.downs.0.0.mlp.1.bias', 'unet.downs.0.0.block1.proj.weight', 'unet.downs.0.0.block1.proj.bias', 'unet.downs.0.0.block1.norm.weight', 'unet.downs.0.0.block1.norm.bias', 'unet.downs.0.0.block2.proj.weight', 'unet.downs.0.0.block2.proj.bias', 'unet.downs.0.0.block2.norm.weight', 'unet.downs.0.0.block2.norm.bias', 'unet.downs.0.1.mlp.1.weight', 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'unet.mid_block2.block1.proj.weight', 'unet.mid_block2.block1.proj.bias', 'unet.mid_block2.block1.norm.weight', 'unet.mid_block2.block1.norm.bias', 'unet.mid_block2.block2.proj.weight', 'unet.mid_block2.block2.proj.bias', 'unet.mid_block2.block2.norm.weight', 'unet.mid_block2.block2.norm.bias', 'unet.final_res_block.mlp.1.weight', 'unet.final_res_block.mlp.1.bias', 'unet.final_res_block.block1.proj.weight', 'unet.final_res_block.block1.proj.bias', 'unet.final_res_block.block1.norm.weight', 'unet.final_res_block.block1.norm.bias', 'unet.final_res_block.block2.proj.weight', 'unet.final_res_block.block2.proj.bias', 'unet.final_res_block.block2.norm.weight', 'unet.final_res_block.block2.norm.bias', 'unet.final_res_block.res_conv.weight', 'unet.final_res_block.res_conv.bias', 'unet.final_conv.weight', 'unet.final_conv.bias', 'conv_seg_new.weight', 'conv_seg_new.bias'] +2023-03-04 23:30:40,289 - mmseg - INFO - Parameters in decode_head freezed! +2023-03-04 23:30:40,311 - mmseg - INFO - load checkpoint from local path: work_dirs2/ablation_segformer_mit_b2_segformer_head_unet_fc_single_step_ade_pretrained_freeze_embed_80k_ade20k151_mask/latest.pth +2023-03-04 23:30:41,111 - mmseg - WARNING - The model and loaded state dict do not match exactly + +unexpected key in source state_dict: decode_head.convs.0.conv.weight, decode_head.convs.0.bn.weight, decode_head.convs.0.bn.bias, decode_head.convs.0.bn.running_mean, decode_head.convs.0.bn.running_var, decode_head.convs.0.bn.num_batches_tracked, decode_head.convs.1.conv.weight, decode_head.convs.1.bn.weight, decode_head.convs.1.bn.bias, decode_head.convs.1.bn.running_mean, decode_head.convs.1.bn.running_var, decode_head.convs.1.bn.num_batches_tracked, decode_head.convs.2.conv.weight, decode_head.convs.2.bn.weight, decode_head.convs.2.bn.bias, decode_head.convs.2.bn.running_mean, decode_head.convs.2.bn.running_var, decode_head.convs.2.bn.num_batches_tracked, decode_head.convs.3.conv.weight, decode_head.convs.3.bn.weight, 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decode_head.unet.final_conv.bias, decode_head.conv_seg_new.weight, decode_head.conv_seg_new.bias, decode_head.embed.weight + +2023-03-04 23:30:41,128 - mmseg - INFO - load checkpoint from local path: work_dirs2/ablation_segformer_mit_b2_segformer_head_unet_fc_single_step_ade_pretrained_freeze_embed_80k_ade20k151_mask/latest.pth +2023-03-04 23:30:41,642 - mmseg - WARNING - The model and loaded state dict do not match exactly + +unexpected key in source state_dict: backbone.layers.0.0.projection.weight, backbone.layers.0.0.projection.bias, backbone.layers.0.0.norm.weight, backbone.layers.0.0.norm.bias, backbone.layers.0.1.0.norm1.weight, backbone.layers.0.1.0.norm1.bias, backbone.layers.0.1.0.attn.attn.in_proj_weight, backbone.layers.0.1.0.attn.attn.in_proj_bias, backbone.layers.0.1.0.attn.attn.out_proj.weight, backbone.layers.0.1.0.attn.attn.out_proj.bias, backbone.layers.0.1.0.attn.sr.weight, backbone.layers.0.1.0.attn.sr.bias, backbone.layers.0.1.0.attn.norm.weight, 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eps=1e-06, elementwise_affine=True) + ) + (norm2): LayerNorm((320,), eps=1e-06, elementwise_affine=True) + (ffn): MixFFN( + (activate): GELU(approximate='none') + (layers): Sequential( + (0): Conv2d(320, 1280, kernel_size=(1, 1), stride=(1, 1)) + (1): Conv2d(1280, 1280, kernel_size=(3, 3), stride=(1, 1), padding=(1, 1), groups=1280) + (2): GELU(approximate='none') + (3): Dropout(p=0.0, inplace=False) + (4): Conv2d(1280, 320, kernel_size=(1, 1), stride=(1, 1)) + (5): Dropout(p=0.0, inplace=False) + ) + (dropout_layer): DropPath() + ) + ) + (1): TransformerEncoderLayer( + (norm1): LayerNorm((320,), eps=1e-06, elementwise_affine=True) + (attn): EfficientMultiheadAttention( + (attn): MultiheadAttention( + (out_proj): NonDynamicallyQuantizableLinear(in_features=320, out_features=320, bias=True) + ) + (proj_drop): Dropout(p=0.0, inplace=False) + (dropout_layer): DropPath() + (sr): Conv2d(320, 320, kernel_size=(2, 2), stride=(2, 2)) + (norm): LayerNorm((320,), eps=1e-06, elementwise_affine=True) + ) + (norm2): LayerNorm((320,), eps=1e-06, elementwise_affine=True) + (ffn): MixFFN( + (activate): GELU(approximate='none') + (layers): Sequential( + (0): Conv2d(320, 1280, kernel_size=(1, 1), stride=(1, 1)) + (1): Conv2d(1280, 1280, kernel_size=(3, 3), stride=(1, 1), padding=(1, 1), groups=1280) + (2): GELU(approximate='none') + (3): Dropout(p=0.0, inplace=False) + (4): Conv2d(1280, 320, kernel_size=(1, 1), stride=(1, 1)) + (5): Dropout(p=0.0, inplace=False) + ) + (dropout_layer): DropPath() + ) + ) + (2): TransformerEncoderLayer( + (norm1): LayerNorm((320,), eps=1e-06, elementwise_affine=True) + (attn): EfficientMultiheadAttention( + (attn): MultiheadAttention( + (out_proj): NonDynamicallyQuantizableLinear(in_features=320, out_features=320, bias=True) + ) + (proj_drop): Dropout(p=0.0, inplace=False) + (dropout_layer): DropPath() + (sr): Conv2d(320, 320, kernel_size=(2, 2), stride=(2, 2)) + (norm): LayerNorm((320,), eps=1e-06, elementwise_affine=True) + ) + (norm2): LayerNorm((320,), eps=1e-06, elementwise_affine=True) + (ffn): MixFFN( + (activate): GELU(approximate='none') + (layers): Sequential( + (0): Conv2d(320, 1280, kernel_size=(1, 1), stride=(1, 1)) + (1): Conv2d(1280, 1280, kernel_size=(3, 3), stride=(1, 1), padding=(1, 1), groups=1280) + (2): GELU(approximate='none') + (3): Dropout(p=0.0, inplace=False) + (4): Conv2d(1280, 320, kernel_size=(1, 1), stride=(1, 1)) + (5): Dropout(p=0.0, inplace=False) + ) + (dropout_layer): DropPath() + ) + ) + (3): TransformerEncoderLayer( + (norm1): LayerNorm((320,), eps=1e-06, elementwise_affine=True) + (attn): EfficientMultiheadAttention( + (attn): MultiheadAttention( + (out_proj): NonDynamicallyQuantizableLinear(in_features=320, out_features=320, bias=True) + ) + (proj_drop): Dropout(p=0.0, inplace=False) + (dropout_layer): DropPath() + (sr): Conv2d(320, 320, kernel_size=(2, 2), stride=(2, 2)) + (norm): LayerNorm((320,), eps=1e-06, elementwise_affine=True) + ) + (norm2): LayerNorm((320,), eps=1e-06, elementwise_affine=True) + (ffn): MixFFN( + (activate): GELU(approximate='none') + (layers): Sequential( + (0): Conv2d(320, 1280, kernel_size=(1, 1), stride=(1, 1)) + (1): Conv2d(1280, 1280, kernel_size=(3, 3), stride=(1, 1), padding=(1, 1), groups=1280) + (2): GELU(approximate='none') + (3): Dropout(p=0.0, inplace=False) + (4): Conv2d(1280, 320, kernel_size=(1, 1), stride=(1, 1)) + (5): Dropout(p=0.0, inplace=False) + ) + (dropout_layer): DropPath() + ) + ) + (4): TransformerEncoderLayer( + (norm1): LayerNorm((320,), eps=1e-06, elementwise_affine=True) + (attn): EfficientMultiheadAttention( + (attn): MultiheadAttention( + (out_proj): NonDynamicallyQuantizableLinear(in_features=320, out_features=320, bias=True) + ) + (proj_drop): Dropout(p=0.0, inplace=False) + (dropout_layer): DropPath() + (sr): Conv2d(320, 320, kernel_size=(2, 2), stride=(2, 2)) + (norm): LayerNorm((320,), eps=1e-06, elementwise_affine=True) + ) + (norm2): LayerNorm((320,), eps=1e-06, elementwise_affine=True) + (ffn): MixFFN( + (activate): GELU(approximate='none') + (layers): Sequential( + (0): Conv2d(320, 1280, kernel_size=(1, 1), stride=(1, 1)) + (1): Conv2d(1280, 1280, kernel_size=(3, 3), stride=(1, 1), padding=(1, 1), groups=1280) + (2): GELU(approximate='none') + (3): Dropout(p=0.0, inplace=False) + (4): Conv2d(1280, 320, kernel_size=(1, 1), stride=(1, 1)) + (5): Dropout(p=0.0, inplace=False) + ) + (dropout_layer): DropPath() + ) + ) + (5): TransformerEncoderLayer( + (norm1): LayerNorm((320,), eps=1e-06, elementwise_affine=True) + (attn): EfficientMultiheadAttention( + (attn): MultiheadAttention( + (out_proj): NonDynamicallyQuantizableLinear(in_features=320, out_features=320, bias=True) + ) + (proj_drop): Dropout(p=0.0, inplace=False) + (dropout_layer): DropPath() + (sr): Conv2d(320, 320, kernel_size=(2, 2), stride=(2, 2)) + (norm): LayerNorm((320,), eps=1e-06, elementwise_affine=True) + ) + (norm2): LayerNorm((320,), eps=1e-06, elementwise_affine=True) + (ffn): MixFFN( + (activate): GELU(approximate='none') + (layers): Sequential( + (0): Conv2d(320, 1280, kernel_size=(1, 1), stride=(1, 1)) + (1): Conv2d(1280, 1280, kernel_size=(3, 3), stride=(1, 1), padding=(1, 1), groups=1280) + (2): GELU(approximate='none') + (3): Dropout(p=0.0, inplace=False) + (4): Conv2d(1280, 320, kernel_size=(1, 1), stride=(1, 1)) + (5): Dropout(p=0.0, inplace=False) + ) + (dropout_layer): DropPath() + ) + ) + ) + (2): LayerNorm((320,), eps=1e-06, elementwise_affine=True) + ) + (3): ModuleList( + (0): PatchEmbed( + (projection): Conv2d(320, 512, kernel_size=(3, 3), stride=(2, 2), padding=(1, 1)) + (norm): LayerNorm((512,), eps=1e-06, elementwise_affine=True) + ) + (1): ModuleList( + (0): TransformerEncoderLayer( + (norm1): LayerNorm((512,), eps=1e-06, elementwise_affine=True) + (attn): EfficientMultiheadAttention( + (attn): MultiheadAttention( + (out_proj): NonDynamicallyQuantizableLinear(in_features=512, out_features=512, bias=True) + ) + (proj_drop): Dropout(p=0.0, inplace=False) + (dropout_layer): DropPath() + ) + (norm2): LayerNorm((512,), eps=1e-06, elementwise_affine=True) + (ffn): MixFFN( + (activate): GELU(approximate='none') + (layers): Sequential( + (0): Conv2d(512, 2048, kernel_size=(1, 1), stride=(1, 1)) + (1): Conv2d(2048, 2048, kernel_size=(3, 3), stride=(1, 1), padding=(1, 1), groups=2048) + (2): GELU(approximate='none') + (3): Dropout(p=0.0, inplace=False) + (4): Conv2d(2048, 512, kernel_size=(1, 1), stride=(1, 1)) + (5): Dropout(p=0.0, inplace=False) + ) + (dropout_layer): DropPath() + ) + ) + (1): TransformerEncoderLayer( + (norm1): LayerNorm((512,), eps=1e-06, elementwise_affine=True) + (attn): EfficientMultiheadAttention( + (attn): MultiheadAttention( + (out_proj): NonDynamicallyQuantizableLinear(in_features=512, out_features=512, bias=True) + ) + (proj_drop): Dropout(p=0.0, inplace=False) + (dropout_layer): DropPath() + ) + (norm2): LayerNorm((512,), eps=1e-06, elementwise_affine=True) + (ffn): MixFFN( + (activate): GELU(approximate='none') + (layers): Sequential( + (0): Conv2d(512, 2048, kernel_size=(1, 1), stride=(1, 1)) + (1): Conv2d(2048, 2048, kernel_size=(3, 3), stride=(1, 1), padding=(1, 1), groups=2048) + (2): GELU(approximate='none') + (3): Dropout(p=0.0, inplace=False) + (4): Conv2d(2048, 512, kernel_size=(1, 1), stride=(1, 1)) + (5): Dropout(p=0.0, inplace=False) + ) + (dropout_layer): DropPath() + ) + ) + (2): TransformerEncoderLayer( + (norm1): LayerNorm((512,), eps=1e-06, elementwise_affine=True) + (attn): EfficientMultiheadAttention( + (attn): MultiheadAttention( + (out_proj): NonDynamicallyQuantizableLinear(in_features=512, out_features=512, bias=True) + ) + (proj_drop): Dropout(p=0.0, inplace=False) + (dropout_layer): DropPath() + ) + (norm2): LayerNorm((512,), eps=1e-06, elementwise_affine=True) + (ffn): MixFFN( + (activate): GELU(approximate='none') + (layers): Sequential( + (0): Conv2d(512, 2048, kernel_size=(1, 1), stride=(1, 1)) + (1): Conv2d(2048, 2048, kernel_size=(3, 3), stride=(1, 1), padding=(1, 1), groups=2048) + (2): GELU(approximate='none') + (3): Dropout(p=0.0, inplace=False) + (4): Conv2d(2048, 512, kernel_size=(1, 1), stride=(1, 1)) + (5): Dropout(p=0.0, inplace=False) + ) + (dropout_layer): DropPath() + ) + ) + ) + (2): LayerNorm((512,), eps=1e-06, elementwise_affine=True) + ) + ) + ) + init_cfg={'type': 'Pretrained', 'checkpoint': 'work_dirs2/ablation_segformer_mit_b2_segformer_head_unet_fc_single_step_ade_pretrained_freeze_embed_80k_ade20k151_mask/latest.pth'} + (decode_head): SegformerHeadUnetFCHeadMultiStepMaskReplace( + input_transform=multiple_select, ignore_index=0, align_corners=False + (loss_decode): CrossEntropyLoss(avg_non_ignore=False) + (conv_seg): None + (dropout): Dropout2d(p=0.1, inplace=False) + (convs): ModuleList( + (0): ConvModule( + (conv): Conv2d(64, 256, kernel_size=(1, 1), stride=(1, 1), bias=False) + (bn): SyncBatchNorm(256, eps=1e-05, momentum=0.1, affine=True, track_running_stats=True) + (activate): ReLU(inplace=True) + ) + (1): ConvModule( + (conv): Conv2d(128, 256, kernel_size=(1, 1), stride=(1, 1), bias=False) + (bn): SyncBatchNorm(256, eps=1e-05, momentum=0.1, affine=True, track_running_stats=True) + (activate): ReLU(inplace=True) + ) + (2): ConvModule( + (conv): Conv2d(320, 256, kernel_size=(1, 1), stride=(1, 1), bias=False) + (bn): SyncBatchNorm(256, eps=1e-05, momentum=0.1, affine=True, track_running_stats=True) + (activate): ReLU(inplace=True) + ) + (3): ConvModule( + (conv): Conv2d(512, 256, kernel_size=(1, 1), stride=(1, 1), bias=False) + (bn): SyncBatchNorm(256, eps=1e-05, momentum=0.1, affine=True, track_running_stats=True) + (activate): ReLU(inplace=True) + ) + ) + (fusion_conv): ConvModule( + (conv): Conv2d(1024, 256, kernel_size=(1, 1), stride=(1, 1), bias=False) + (bn): SyncBatchNorm(256, eps=1e-05, momentum=0.1, affine=True, track_running_stats=True) + (activate): ReLU(inplace=True) + ) + (unet): Unet( + (init_conv): Conv2d(272, 128, kernel_size=(7, 7), stride=(1, 1), padding=(3, 3)) + (time_mlp): Sequential( + (0): SinusoidalPosEmb() + (1): Linear(in_features=128, out_features=512, bias=True) + (2): GELU(approximate='none') + (3): Linear(in_features=512, out_features=512, bias=True) + ) + (downs): ModuleList( + (0): ModuleList( + (0): ResnetBlock( + (mlp): Sequential( + (0): SiLU() + (1): Linear(in_features=512, out_features=256, bias=True) + ) + (block1): Block( + (proj): WeightStandardizedConv2d(128, 128, kernel_size=(3, 3), stride=(1, 1), padding=(1, 1)) + (norm): GroupNorm(8, 128, eps=1e-05, affine=True) + (act): SiLU() + ) + (block2): Block( + (proj): WeightStandardizedConv2d(128, 128, kernel_size=(3, 3), stride=(1, 1), padding=(1, 1)) + (norm): GroupNorm(8, 128, eps=1e-05, affine=True) + (act): SiLU() + ) + (res_conv): Identity() + ) + (1): ResnetBlock( + (mlp): Sequential( + (0): SiLU() + (1): Linear(in_features=512, out_features=256, bias=True) + ) + (block1): Block( + (proj): WeightStandardizedConv2d(128, 128, kernel_size=(3, 3), stride=(1, 1), padding=(1, 1)) + (norm): GroupNorm(8, 128, eps=1e-05, affine=True) + (act): SiLU() + ) + (block2): Block( + (proj): WeightStandardizedConv2d(128, 128, kernel_size=(3, 3), stride=(1, 1), padding=(1, 1)) + (norm): GroupNorm(8, 128, eps=1e-05, affine=True) + (act): SiLU() + ) + (res_conv): Identity() + ) + (2): Residual( + (fn): PreNorm( + (fn): LinearAttention( + (to_qkv): Conv2d(128, 384, kernel_size=(1, 1), stride=(1, 1), bias=False) + (to_out): Sequential( + (0): Conv2d(128, 128, kernel_size=(1, 1), stride=(1, 1)) + (1): LayerNorm() + ) + ) + (norm): LayerNorm() + ) + ) + (3): Conv2d(128, 128, kernel_size=(4, 4), stride=(2, 2), padding=(1, 1)) + ) + (1): ModuleList( + (0): ResnetBlock( + (mlp): Sequential( + (0): SiLU() + (1): Linear(in_features=512, out_features=256, bias=True) + ) + (block1): Block( + (proj): WeightStandardizedConv2d(128, 128, kernel_size=(3, 3), stride=(1, 1), padding=(1, 1)) + (norm): GroupNorm(8, 128, eps=1e-05, affine=True) + (act): SiLU() + ) + (block2): Block( + (proj): WeightStandardizedConv2d(128, 128, kernel_size=(3, 3), stride=(1, 1), padding=(1, 1)) + (norm): GroupNorm(8, 128, eps=1e-05, affine=True) + (act): SiLU() + ) + (res_conv): Identity() + ) + (1): ResnetBlock( + (mlp): Sequential( + (0): SiLU() + (1): Linear(in_features=512, out_features=256, bias=True) + ) + (block1): Block( + (proj): WeightStandardizedConv2d(128, 128, kernel_size=(3, 3), stride=(1, 1), padding=(1, 1)) + (norm): GroupNorm(8, 128, eps=1e-05, affine=True) + (act): SiLU() + ) + (block2): Block( + (proj): WeightStandardizedConv2d(128, 128, kernel_size=(3, 3), stride=(1, 1), padding=(1, 1)) + (norm): GroupNorm(8, 128, eps=1e-05, affine=True) + (act): SiLU() + ) + (res_conv): Identity() + ) + (2): Residual( + (fn): PreNorm( + (fn): LinearAttention( + (to_qkv): Conv2d(128, 384, kernel_size=(1, 1), stride=(1, 1), bias=False) + (to_out): Sequential( + (0): Conv2d(128, 128, kernel_size=(1, 1), stride=(1, 1)) + (1): LayerNorm() + ) + ) 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WeightStandardizedConv2d(128, 128, kernel_size=(3, 3), stride=(1, 1), padding=(1, 1)) + (norm): GroupNorm(8, 128, eps=1e-05, affine=True) + (act): SiLU() + ) + (res_conv): Identity() + ) + (2): Residual( + (fn): PreNorm( + (fn): LinearAttention( + (to_qkv): Conv2d(128, 384, kernel_size=(1, 1), stride=(1, 1), bias=False) + (to_out): Sequential( + (0): Conv2d(128, 128, kernel_size=(1, 1), stride=(1, 1)) + (1): LayerNorm() + ) + ) + (norm): LayerNorm() + ) + ) + (3): Conv2d(128, 128, kernel_size=(3, 3), stride=(1, 1), padding=(1, 1)) + ) + ) + (ups): ModuleList( + (0): ModuleList( + (0): ResnetBlock( + (mlp): Sequential( + (0): SiLU() + (1): Linear(in_features=512, out_features=256, bias=True) + ) + (block1): Block( + (proj): WeightStandardizedConv2d(256, 128, kernel_size=(3, 3), stride=(1, 1), padding=(1, 1)) + (norm): GroupNorm(8, 128, eps=1e-05, affine=True) + (act): SiLU() + ) + (block2): Block( + (proj): WeightStandardizedConv2d(128, 128, kernel_size=(3, 3), stride=(1, 1), padding=(1, 1)) + (norm): GroupNorm(8, 128, eps=1e-05, affine=True) + (act): SiLU() + ) + (res_conv): Conv2d(256, 128, kernel_size=(1, 1), stride=(1, 1)) + ) + (1): ResnetBlock( + (mlp): Sequential( + (0): SiLU() + (1): Linear(in_features=512, out_features=256, bias=True) + ) + (block1): Block( + (proj): WeightStandardizedConv2d(256, 128, kernel_size=(3, 3), stride=(1, 1), padding=(1, 1)) + (norm): GroupNorm(8, 128, eps=1e-05, affine=True) + (act): SiLU() + ) + (block2): Block( + (proj): WeightStandardizedConv2d(128, 128, kernel_size=(3, 3), stride=(1, 1), padding=(1, 1)) + (norm): GroupNorm(8, 128, eps=1e-05, affine=True) + (act): SiLU() + ) + (res_conv): Conv2d(256, 128, kernel_size=(1, 1), stride=(1, 1)) + ) + (2): Residual( + (fn): PreNorm( + (fn): LinearAttention( + (to_qkv): Conv2d(128, 384, kernel_size=(1, 1), stride=(1, 1), bias=False) + (to_out): Sequential( + (0): Conv2d(128, 128, kernel_size=(1, 1), stride=(1, 1)) + (1): LayerNorm() + ) + ) + (norm): LayerNorm() + ) + ) + (3): Sequential( + (0): Upsample(scale_factor=2.0, mode=nearest) + (1): Conv2d(128, 128, kernel_size=(3, 3), stride=(1, 1), padding=(1, 1)) + ) + ) + (1): ModuleList( + (0): ResnetBlock( + (mlp): Sequential( + (0): SiLU() + (1): Linear(in_features=512, out_features=256, bias=True) + ) + (block1): Block( + (proj): WeightStandardizedConv2d(256, 128, kernel_size=(3, 3), stride=(1, 1), padding=(1, 1)) + (norm): GroupNorm(8, 128, eps=1e-05, affine=True) + (act): SiLU() + ) + (block2): Block( + (proj): WeightStandardizedConv2d(128, 128, kernel_size=(3, 3), stride=(1, 1), padding=(1, 1)) + (norm): GroupNorm(8, 128, eps=1e-05, affine=True) + (act): SiLU() + ) + (res_conv): Conv2d(256, 128, kernel_size=(1, 1), stride=(1, 1)) + ) + (1): ResnetBlock( + (mlp): Sequential( + (0): SiLU() + (1): Linear(in_features=512, out_features=256, bias=True) + ) + (block1): Block( + (proj): WeightStandardizedConv2d(256, 128, kernel_size=(3, 3), stride=(1, 1), padding=(1, 1)) + (norm): GroupNorm(8, 128, eps=1e-05, affine=True) + (act): SiLU() + ) + (block2): Block( + (proj): WeightStandardizedConv2d(128, 128, kernel_size=(3, 3), stride=(1, 1), padding=(1, 1)) + (norm): GroupNorm(8, 128, eps=1e-05, affine=True) + (act): SiLU() + ) + (res_conv): Conv2d(256, 128, kernel_size=(1, 1), stride=(1, 1)) + ) + (2): Residual( + (fn): PreNorm( + (fn): LinearAttention( + (to_qkv): Conv2d(128, 384, kernel_size=(1, 1), stride=(1, 1), bias=False) + (to_out): Sequential( + (0): Conv2d(128, 128, kernel_size=(1, 1), stride=(1, 1)) + (1): LayerNorm() + ) + ) + (norm): LayerNorm() + ) + ) + (3): Sequential( + (0): Upsample(scale_factor=2.0, mode=nearest) + (1): Conv2d(128, 128, kernel_size=(3, 3), stride=(1, 1), padding=(1, 1)) + ) + ) + (2): ModuleList( + (0): ResnetBlock( + (mlp): Sequential( + (0): SiLU() + (1): Linear(in_features=512, out_features=256, bias=True) + ) + (block1): Block( + (proj): WeightStandardizedConv2d(256, 128, kernel_size=(3, 3), stride=(1, 1), padding=(1, 1)) + (norm): GroupNorm(8, 128, eps=1e-05, affine=True) + (act): SiLU() + ) + (block2): Block( + (proj): WeightStandardizedConv2d(128, 128, kernel_size=(3, 3), stride=(1, 1), padding=(1, 1)) + (norm): GroupNorm(8, 128, eps=1e-05, affine=True) + (act): SiLU() + ) + (res_conv): Conv2d(256, 128, kernel_size=(1, 1), stride=(1, 1)) + ) + (1): ResnetBlock( + (mlp): Sequential( + (0): SiLU() + (1): Linear(in_features=512, out_features=256, bias=True) + ) + (block1): Block( + (proj): WeightStandardizedConv2d(256, 128, kernel_size=(3, 3), stride=(1, 1), padding=(1, 1)) + (norm): GroupNorm(8, 128, eps=1e-05, affine=True) + (act): SiLU() + ) + (block2): Block( + (proj): WeightStandardizedConv2d(128, 128, kernel_size=(3, 3), stride=(1, 1), padding=(1, 1)) + (norm): GroupNorm(8, 128, eps=1e-05, affine=True) + (act): SiLU() + ) + (res_conv): Conv2d(256, 128, kernel_size=(1, 1), stride=(1, 1)) + ) + (2): Residual( + (fn): PreNorm( + (fn): LinearAttention( + (to_qkv): Conv2d(128, 384, kernel_size=(1, 1), stride=(1, 1), bias=False) + (to_out): Sequential( + (0): Conv2d(128, 128, kernel_size=(1, 1), stride=(1, 1)) + (1): LayerNorm() + ) + ) + (norm): LayerNorm() + ) + ) + (3): Conv2d(128, 128, kernel_size=(3, 3), stride=(1, 1), padding=(1, 1)) + ) + ) + (mid_block1): ResnetBlock( + (mlp): Sequential( + (0): SiLU() + (1): Linear(in_features=512, out_features=256, bias=True) + ) + (block1): Block( + (proj): WeightStandardizedConv2d(128, 128, kernel_size=(3, 3), stride=(1, 1), padding=(1, 1)) + (norm): GroupNorm(8, 128, eps=1e-05, affine=True) + (act): SiLU() + ) + (block2): Block( + (proj): WeightStandardizedConv2d(128, 128, kernel_size=(3, 3), stride=(1, 1), padding=(1, 1)) + (norm): GroupNorm(8, 128, eps=1e-05, affine=True) + (act): SiLU() + ) + (res_conv): Identity() + ) + (mid_attn): Residual( + (fn): PreNorm( + (fn): Attention( + (to_qkv): Conv2d(128, 384, kernel_size=(1, 1), stride=(1, 1), bias=False) + (to_out): Conv2d(128, 128, kernel_size=(1, 1), stride=(1, 1)) + ) + (norm): LayerNorm() + ) + ) + (mid_block2): ResnetBlock( + (mlp): Sequential( + (0): SiLU() + (1): Linear(in_features=512, out_features=256, bias=True) + ) + (block1): Block( + (proj): WeightStandardizedConv2d(128, 128, kernel_size=(3, 3), stride=(1, 1), padding=(1, 1)) + (norm): GroupNorm(8, 128, eps=1e-05, affine=True) + (act): SiLU() + ) + (block2): Block( + (proj): WeightStandardizedConv2d(128, 128, kernel_size=(3, 3), stride=(1, 1), padding=(1, 1)) + (norm): GroupNorm(8, 128, eps=1e-05, affine=True) + (act): SiLU() + ) + (res_conv): Identity() + ) + (final_res_block): ResnetBlock( + (mlp): Sequential( + (0): SiLU() + (1): Linear(in_features=512, out_features=256, bias=True) + ) + (block1): Block( + (proj): WeightStandardizedConv2d(256, 128, kernel_size=(3, 3), stride=(1, 1), padding=(1, 1)) + (norm): GroupNorm(8, 128, eps=1e-05, affine=True) + (act): SiLU() + ) + (block2): Block( + (proj): WeightStandardizedConv2d(128, 128, kernel_size=(3, 3), stride=(1, 1), padding=(1, 1)) + (norm): GroupNorm(8, 128, eps=1e-05, affine=True) + (act): SiLU() + ) + (res_conv): Conv2d(256, 128, kernel_size=(1, 1), stride=(1, 1)) + ) + (final_conv): Conv2d(128, 256, kernel_size=(1, 1), stride=(1, 1)) + ) + (conv_seg_new): Conv2d(256, 151, kernel_size=(1, 1), stride=(1, 1)) + (embed): Embedding(152, 16) + ) + init_cfg={'type': 'Pretrained', 'checkpoint': 'work_dirs2/ablation_segformer_mit_b2_segformer_head_unet_fc_single_step_ade_pretrained_freeze_embed_80k_ade20k151_mask/latest.pth'} +) +2023-03-04 23:30:42,153 - mmseg - INFO - Loaded 20210 images +2023-03-04 23:30:46,846 - mmseg - INFO - Loaded 2000 images +2023-03-04 23:30:46,849 - mmseg - INFO - Start running, host: laizeqiang@SH-IDC1-10-140-37-136, work_dir: /mnt/petrelfs/laizeqiang/mmseg-baseline/work_dirs2/ablation_segformer_mit_b2_segformer_head_unet_fc_small_multi_step_ade_pretrained_freeze_embed_160k_ade20k151_mask_finetune_maskreplace +2023-03-04 23:30:46,849 - mmseg - INFO - Hooks will be executed in the following order: +before_run: +(VERY_HIGH ) StepLrUpdaterHook +(49 ) ConstantMomentumEMAHook +(NORMAL ) CheckpointHook +(LOW ) DistEvalHookMultiSteps +(VERY_LOW ) TextLoggerHook + -------------------- +before_train_epoch: +(VERY_HIGH ) StepLrUpdaterHook +(LOW ) IterTimerHook +(LOW ) DistEvalHookMultiSteps +(VERY_LOW ) TextLoggerHook + -------------------- +before_train_iter: +(VERY_HIGH ) StepLrUpdaterHook +(49 ) ConstantMomentumEMAHook +(LOW ) IterTimerHook +(LOW ) DistEvalHookMultiSteps + -------------------- +after_train_iter: +(ABOVE_NORMAL) OptimizerHook +(49 ) ConstantMomentumEMAHook +(NORMAL ) CheckpointHook +(LOW ) IterTimerHook +(LOW ) DistEvalHookMultiSteps +(VERY_LOW ) TextLoggerHook + -------------------- +after_train_epoch: +(NORMAL ) CheckpointHook +(LOW ) DistEvalHookMultiSteps +(VERY_LOW ) TextLoggerHook + -------------------- +before_val_epoch: +(LOW ) IterTimerHook +(VERY_LOW ) TextLoggerHook + -------------------- +before_val_iter: +(LOW ) IterTimerHook + -------------------- +after_val_iter: +(LOW ) IterTimerHook + -------------------- +after_val_epoch: +(VERY_LOW ) TextLoggerHook + -------------------- +after_run: +(VERY_LOW ) TextLoggerHook + -------------------- +2023-03-04 23:30:46,849 - mmseg - INFO - workflow: [('train', 1)], max: 160000 iters +2023-03-04 23:30:46,887 - mmseg - INFO - Checkpoints will be saved to /mnt/petrelfs/laizeqiang/mmseg-baseline/work_dirs2/ablation_segformer_mit_b2_segformer_head_unet_fc_small_multi_step_ade_pretrained_freeze_embed_160k_ade20k151_mask_finetune_maskreplace by HardDiskBackend. +2023-03-04 23:31:10,902 - mmseg - INFO - Swap parameters (before train) before iter [1] diff --git a/ablation/ablation_segformer_mit_b2_segformer_head_unet_fc_small_multi_step_ade_pretrained_freeze_embed_160k_ade20k151_mask_finetune_maskreplace/20230304_233034.log.json b/ablation/ablation_segformer_mit_b2_segformer_head_unet_fc_small_multi_step_ade_pretrained_freeze_embed_160k_ade20k151_mask_finetune_maskreplace/20230304_233034.log.json new file mode 100644 index 0000000000000000000000000000000000000000..d7559d00a2230494b97d02bb7f4653647cf97f4e --- /dev/null +++ b/ablation/ablation_segformer_mit_b2_segformer_head_unet_fc_small_multi_step_ade_pretrained_freeze_embed_160k_ade20k151_mask_finetune_maskreplace/20230304_233034.log.json @@ -0,0 +1 @@ +{"env_info": "sys.platform: linux\nPython: 3.7.16 (default, Jan 17 2023, 22:20:44) [GCC 11.2.0]\nCUDA available: True\nGPU 0,1,2,3,4,5,6,7: NVIDIA A100-SXM4-80GB\nCUDA_HOME: /mnt/petrelfs/laizeqiang/miniconda3/envs/torch\nNVCC: Cuda compilation tools, release 11.6, V11.6.124\nGCC: gcc (GCC) 4.8.5 20150623 (Red Hat 4.8.5-44)\nPyTorch: 1.13.1\nPyTorch compiling details: PyTorch built with:\n - GCC 9.3\n - C++ Version: 201402\n - Intel(R) oneAPI Math Kernel Library Version 2021.4-Product Build 20210904 for Intel(R) 64 architecture applications\n - Intel(R) MKL-DNN v2.6.0 (Git Hash 52b5f107dd9cf10910aaa19cb47f3abf9b349815)\n - OpenMP 201511 (a.k.a. OpenMP 4.5)\n - LAPACK is enabled (usually provided by MKL)\n - NNPACK is enabled\n - CPU capability usage: AVX2\n - CUDA Runtime 11.6\n - NVCC architecture flags: -gencode;arch=compute_37,code=sm_37;-gencode;arch=compute_50,code=sm_50;-gencode;arch=compute_60,code=sm_60;-gencode;arch=compute_61,code=sm_61;-gencode;arch=compute_70,code=sm_70;-gencode;arch=compute_75,code=sm_75;-gencode;arch=compute_80,code=sm_80;-gencode;arch=compute_86,code=sm_86;-gencode;arch=compute_37,code=compute_37\n - CuDNN 8.3.2 (built against CUDA 11.5)\n - Magma 2.6.1\n - Build settings: BLAS_INFO=mkl, BUILD_TYPE=Release, CUDA_VERSION=11.6, CUDNN_VERSION=8.3.2, CXX_COMPILER=/opt/rh/devtoolset-9/root/usr/bin/c++, CXX_FLAGS= -fabi-version=11 -Wno-deprecated -fvisibility-inlines-hidden -DUSE_PTHREADPOOL -fopenmp -DNDEBUG -DUSE_KINETO -DUSE_FBGEMM -DUSE_QNNPACK -DUSE_PYTORCH_QNNPACK -DUSE_XNNPACK -DSYMBOLICATE_MOBILE_DEBUG_HANDLE -DEDGE_PROFILER_USE_KINETO -O2 -fPIC -Wno-narrowing -Wall -Wextra -Werror=return-type -Werror=non-virtual-dtor -Wno-missing-field-initializers -Wno-type-limits -Wno-array-bounds -Wno-unknown-pragmas -Wunused-local-typedefs -Wno-unused-parameter -Wno-unused-function -Wno-unused-result -Wno-strict-overflow -Wno-strict-aliasing -Wno-error=deprecated-declarations -Wno-stringop-overflow -Wno-psabi -Wno-error=pedantic -Wno-error=redundant-decls -Wno-error=old-style-cast -fdiagnostics-color=always -faligned-new -Wno-unused-but-set-variable -Wno-maybe-uninitialized -fno-math-errno -fno-trapping-math -Werror=format -Werror=cast-function-type -Wno-stringop-overflow, LAPACK_INFO=mkl, PERF_WITH_AVX=1, PERF_WITH_AVX2=1, PERF_WITH_AVX512=1, TORCH_VERSION=1.13.1, USE_CUDA=ON, USE_CUDNN=ON, USE_EXCEPTION_PTR=1, USE_GFLAGS=OFF, USE_GLOG=OFF, USE_MKL=ON, USE_MKLDNN=ON, USE_MPI=OFF, USE_NCCL=ON, USE_NNPACK=ON, USE_OPENMP=ON, USE_ROCM=OFF, \n\nTorchVision: 0.14.1\nOpenCV: 4.7.0\nMMCV: 1.7.1\nMMCV Compiler: GCC 9.3\nMMCV CUDA Compiler: 11.6\nMMSegmentation: 0.30.0+6749699", "seed": 882071875, "exp_name": "ablation_segformer_mit_b2_segformer_head_unet_fc_small_multi_step_ade_pretrained_freeze_embed_160k_ade20k151_mask_finetune_maskreplace.py", "mmseg_version": "0.30.0+6749699", "config": "norm_cfg = dict(type='SyncBN', requires_grad=True)\ncheckpoint = 'work_dirs2/ablation_segformer_mit_b2_segformer_head_unet_fc_single_step_ade_pretrained_freeze_embed_80k_ade20k151_mask/latest.pth'\nmodel = dict(\n type='EncoderDecoderDiffusion',\n freeze_parameters=['backbone', 'decode_head'],\n pretrained=\n 'work_dirs2/ablation_segformer_mit_b2_segformer_head_unet_fc_single_step_ade_pretrained_freeze_embed_80k_ade20k151_mask/latest.pth',\n backbone=dict(\n type='MixVisionTransformerCustomInitWeights',\n in_channels=3,\n embed_dims=64,\n num_stages=4,\n num_layers=[3, 4, 6, 3],\n num_heads=[1, 2, 5, 8],\n patch_sizes=[7, 3, 3, 3],\n sr_ratios=[8, 4, 2, 1],\n out_indices=(0, 1, 2, 3),\n mlp_ratio=4,\n qkv_bias=True,\n drop_rate=0.0,\n attn_drop_rate=0.0,\n drop_path_rate=0.1,\n pretrained=\n 'work_dirs2/ablation_segformer_mit_b2_segformer_head_unet_fc_single_step_ade_pretrained_freeze_embed_80k_ade20k151_mask/latest.pth'\n ),\n decode_head=dict(\n type='SegformerHeadUnetFCHeadMultiStepMaskReplace',\n pretrained=\n 'work_dirs2/ablation_segformer_mit_b2_segformer_head_unet_fc_single_step_ade_pretrained_freeze_embed_80k_ade20k151_mask/latest.pth',\n dim=128,\n out_dim=256,\n unet_channels=272,\n dim_mults=[1, 1, 1],\n cat_embedding_dim=16,\n diffusion_timesteps=100,\n collect_timesteps=[0, 10, 20, 30, 40, 50, 60, 70, 80, 90, 99],\n in_channels=[64, 128, 320, 512],\n in_index=[0, 1, 2, 3],\n channels=256,\n dropout_ratio=0.1,\n num_classes=151,\n norm_cfg=dict(type='SyncBN', requires_grad=True),\n align_corners=False,\n ignore_index=0,\n loss_decode=dict(\n type='CrossEntropyLoss', use_sigmoid=False, loss_weight=1.0)),\n train_cfg=dict(),\n test_cfg=dict(mode='whole'))\ndataset_type = 'ADE20K151Dataset'\ndata_root = 'data/ade/ADEChallengeData2016'\nimg_norm_cfg = dict(\n mean=[123.675, 116.28, 103.53], std=[58.395, 57.12, 57.375], to_rgb=True)\ncrop_size = (512, 512)\ntrain_pipeline = [\n dict(type='LoadImageFromFile'),\n dict(type='LoadAnnotations', reduce_zero_label=False),\n dict(type='Resize', img_scale=(2048, 512), ratio_range=(0.5, 2.0)),\n dict(type='RandomCrop', crop_size=(512, 512), cat_max_ratio=0.75),\n dict(type='RandomFlip', prob=0.5),\n dict(type='PhotoMetricDistortion'),\n dict(\n type='Normalize',\n mean=[123.675, 116.28, 103.53],\n std=[58.395, 57.12, 57.375],\n to_rgb=True),\n dict(type='Pad', size=(512, 512), pad_val=0, seg_pad_val=0),\n dict(type='DefaultFormatBundle'),\n dict(type='Collect', keys=['img', 'gt_semantic_seg'])\n]\ntest_pipeline = [\n dict(type='LoadImageFromFile'),\n dict(\n type='MultiScaleFlipAug',\n img_scale=(2048, 512),\n flip=False,\n transforms=[\n dict(type='Resize', keep_ratio=True),\n dict(type='RandomFlip'),\n dict(\n type='Normalize',\n mean=[123.675, 116.28, 103.53],\n std=[58.395, 57.12, 57.375],\n to_rgb=True),\n dict(type='Pad', size_divisor=16, pad_val=0, seg_pad_val=0),\n dict(type='ImageToTensor', keys=['img']),\n dict(type='Collect', keys=['img'])\n ])\n]\ndata = dict(\n samples_per_gpu=4,\n workers_per_gpu=4,\n train=dict(\n type='ADE20K151Dataset',\n data_root='data/ade/ADEChallengeData2016',\n img_dir='images/training',\n ann_dir='annotations/training',\n pipeline=[\n dict(type='LoadImageFromFile'),\n dict(type='LoadAnnotations', reduce_zero_label=False),\n dict(type='Resize', img_scale=(2048, 512), ratio_range=(0.5, 2.0)),\n dict(type='RandomCrop', crop_size=(512, 512), cat_max_ratio=0.75),\n dict(type='RandomFlip', prob=0.5),\n dict(type='PhotoMetricDistortion'),\n dict(\n type='Normalize',\n mean=[123.675, 116.28, 103.53],\n std=[58.395, 57.12, 57.375],\n to_rgb=True),\n dict(type='Pad', size=(512, 512), pad_val=0, seg_pad_val=0),\n dict(type='DefaultFormatBundle'),\n dict(type='Collect', keys=['img', 'gt_semantic_seg'])\n ]),\n val=dict(\n type='ADE20K151Dataset',\n data_root='data/ade/ADEChallengeData2016',\n img_dir='images/validation',\n ann_dir='annotations/validation',\n pipeline=[\n dict(type='LoadImageFromFile'),\n dict(\n type='MultiScaleFlipAug',\n img_scale=(2048, 512),\n flip=False,\n transforms=[\n dict(type='Resize', keep_ratio=True),\n dict(type='RandomFlip'),\n dict(\n type='Normalize',\n mean=[123.675, 116.28, 103.53],\n std=[58.395, 57.12, 57.375],\n to_rgb=True),\n dict(\n type='Pad', size_divisor=16, pad_val=0, seg_pad_val=0),\n dict(type='ImageToTensor', keys=['img']),\n dict(type='Collect', keys=['img'])\n ])\n ]),\n test=dict(\n type='ADE20K151Dataset',\n data_root='data/ade/ADEChallengeData2016',\n img_dir='images/validation',\n ann_dir='annotations/validation',\n pipeline=[\n dict(type='LoadImageFromFile'),\n dict(\n type='MultiScaleFlipAug',\n img_scale=(2048, 512),\n flip=False,\n transforms=[\n dict(type='Resize', keep_ratio=True),\n dict(type='RandomFlip'),\n dict(\n type='Normalize',\n mean=[123.675, 116.28, 103.53],\n std=[58.395, 57.12, 57.375],\n to_rgb=True),\n dict(\n type='Pad', size_divisor=16, pad_val=0, seg_pad_val=0),\n dict(type='ImageToTensor', keys=['img']),\n dict(type='Collect', keys=['img'])\n ])\n ]))\nlog_config = dict(\n interval=50, hooks=[dict(type='TextLoggerHook', by_epoch=False)])\ndist_params = dict(backend='nccl')\nlog_level = 'INFO'\nload_from = None\nresume_from = None\nworkflow = [('train', 1)]\ncudnn_benchmark = True\noptimizer = dict(\n type='AdamW', lr=0.00015, betas=[0.9, 0.96], weight_decay=0.045)\noptimizer_config = dict()\nlr_config = dict(\n policy='step',\n warmup='linear',\n warmup_iters=1000,\n warmup_ratio=1e-06,\n step=20000,\n gamma=0.5,\n min_lr=1e-06,\n by_epoch=False)\nrunner = dict(type='IterBasedRunner', max_iters=160000)\ncheckpoint_config = dict(by_epoch=False, interval=16000, max_keep_ckpts=1)\nevaluation = dict(\n interval=16000, metric='mIoU', pre_eval=True, save_best='mIoU')\ncustom_hooks = [\n dict(\n type='ConstantMomentumEMAHook',\n momentum=0.01,\n interval=25,\n eval_interval=16000,\n auto_resume=True,\n priority=49)\n]\nwork_dir = './work_dirs2/ablation_segformer_mit_b2_segformer_head_unet_fc_small_multi_step_ade_pretrained_freeze_embed_160k_ade20k151_mask_finetune_maskreplace'\ngpu_ids = range(0, 8)\nauto_resume = True\ndevice = 'cuda'\nseed = 882071875\n", "CLASSES": ["background", "wall", "building", "sky", "floor", "tree", "ceiling", "road", "bed ", "windowpane", "grass", "cabinet", "sidewalk", "person", "earth", "door", "table", "mountain", "plant", "curtain", "chair", "car", "water", "painting", "sofa", "shelf", "house", "sea", "mirror", "rug", "field", "armchair", "seat", "fence", "desk", "rock", "wardrobe", "lamp", "bathtub", "railing", "cushion", "base", "box", "column", "signboard", "chest of drawers", "counter", "sand", "sink", "skyscraper", "fireplace", "refrigerator", "grandstand", "path", "stairs", "runway", "case", 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start method is `None` +2023-03-05 00:29:42,625 - mmseg - INFO - OpenCV num_threads is `128 +2023-03-05 00:29:42,625 - mmseg - INFO - OMP num threads is 1 +2023-03-05 00:29:42,712 - mmseg - INFO - Environment info: +------------------------------------------------------------ +sys.platform: linux +Python: 3.7.16 (default, Jan 17 2023, 22:20:44) [GCC 11.2.0] +CUDA available: True +GPU 0,1,2,3,4,5,6,7: NVIDIA A100-SXM4-80GB +CUDA_HOME: /mnt/petrelfs/laizeqiang/miniconda3/envs/torch +NVCC: Cuda compilation tools, release 11.6, V11.6.124 +GCC: gcc (GCC) 7.5.0 +PyTorch: 1.13.1 +PyTorch compiling details: PyTorch built with: + - GCC 9.3 + - C++ Version: 201402 + - Intel(R) oneAPI Math Kernel Library Version 2021.4-Product Build 20210904 for Intel(R) 64 architecture applications + - Intel(R) MKL-DNN v2.6.0 (Git Hash 52b5f107dd9cf10910aaa19cb47f3abf9b349815) + - OpenMP 201511 (a.k.a. OpenMP 4.5) + - LAPACK is enabled (usually provided by MKL) + - NNPACK is enabled + - CPU capability usage: AVX2 + - CUDA Runtime 11.6 + - NVCC architecture flags: -gencode;arch=compute_37,code=sm_37;-gencode;arch=compute_50,code=sm_50;-gencode;arch=compute_60,code=sm_60;-gencode;arch=compute_61,code=sm_61;-gencode;arch=compute_70,code=sm_70;-gencode;arch=compute_75,code=sm_75;-gencode;arch=compute_80,code=sm_80;-gencode;arch=compute_86,code=sm_86;-gencode;arch=compute_37,code=compute_37 + - CuDNN 8.3.2 (built against CUDA 11.5) + - Magma 2.6.1 + - Build settings: BLAS_INFO=mkl, BUILD_TYPE=Release, CUDA_VERSION=11.6, CUDNN_VERSION=8.3.2, CXX_COMPILER=/opt/rh/devtoolset-9/root/usr/bin/c++, CXX_FLAGS= -fabi-version=11 -Wno-deprecated -fvisibility-inlines-hidden -DUSE_PTHREADPOOL -fopenmp -DNDEBUG -DUSE_KINETO -DUSE_FBGEMM -DUSE_QNNPACK -DUSE_PYTORCH_QNNPACK -DUSE_XNNPACK -DSYMBOLICATE_MOBILE_DEBUG_HANDLE -DEDGE_PROFILER_USE_KINETO -O2 -fPIC -Wno-narrowing -Wall -Wextra -Werror=return-type -Werror=non-virtual-dtor -Wno-missing-field-initializers -Wno-type-limits -Wno-array-bounds -Wno-unknown-pragmas -Wunused-local-typedefs -Wno-unused-parameter -Wno-unused-function -Wno-unused-result -Wno-strict-overflow -Wno-strict-aliasing -Wno-error=deprecated-declarations -Wno-stringop-overflow -Wno-psabi -Wno-error=pedantic -Wno-error=redundant-decls -Wno-error=old-style-cast -fdiagnostics-color=always -faligned-new -Wno-unused-but-set-variable -Wno-maybe-uninitialized -fno-math-errno -fno-trapping-math -Werror=format -Werror=cast-function-type -Wno-stringop-overflow, LAPACK_INFO=mkl, PERF_WITH_AVX=1, PERF_WITH_AVX2=1, PERF_WITH_AVX512=1, TORCH_VERSION=1.13.1, USE_CUDA=ON, USE_CUDNN=ON, USE_EXCEPTION_PTR=1, USE_GFLAGS=OFF, USE_GLOG=OFF, USE_MKL=ON, USE_MKLDNN=ON, USE_MPI=OFF, USE_NCCL=ON, USE_NNPACK=ON, USE_OPENMP=ON, USE_ROCM=OFF, + +TorchVision: 0.14.1 +OpenCV: 4.7.0 +MMCV: 1.7.1 +MMCV Compiler: GCC 9.3 +MMCV CUDA Compiler: 11.6 +MMSegmentation: 0.30.0+6749699 +------------------------------------------------------------ + +2023-03-05 00:29:42,712 - mmseg - INFO - Distributed training: True +2023-03-05 00:29:43,418 - mmseg - INFO - Config: +norm_cfg = dict(type='SyncBN', requires_grad=True) +checkpoint = 'work_dirs2/ablation_segformer_mit_b2_segformer_head_unet_fc_single_step_ade_pretrained_freeze_embed_80k_ade20k151_mask/latest.pth' +model = dict( + type='EncoderDecoderDiffusion', + freeze_parameters=['backbone', 'decode_head'], + pretrained= + 'work_dirs2/ablation_segformer_mit_b2_segformer_head_unet_fc_single_step_ade_pretrained_freeze_embed_80k_ade20k151_mask/latest.pth', + backbone=dict( + type='MixVisionTransformerCustomInitWeights', + in_channels=3, + embed_dims=64, + num_stages=4, + num_layers=[3, 4, 6, 3], + num_heads=[1, 2, 5, 8], + patch_sizes=[7, 3, 3, 3], + sr_ratios=[8, 4, 2, 1], + out_indices=(0, 1, 2, 3), + mlp_ratio=4, + qkv_bias=True, + drop_rate=0.0, + attn_drop_rate=0.0, + drop_path_rate=0.1), + decode_head=dict( + type='SegformerHeadUnetFCHeadMultiStepMaskReplace', + pretrained= + 'work_dirs2/ablation_segformer_mit_b2_segformer_head_unet_fc_single_step_ade_pretrained_freeze_embed_80k_ade20k151_mask/latest.pth', + dim=128, + out_dim=256, + unet_channels=272, + dim_mults=[1, 1, 1], + cat_embedding_dim=16, + diffusion_timesteps=100, + collect_timesteps=[0, 10, 20, 30, 40, 50, 60, 70, 80, 90, 99], + in_channels=[64, 128, 320, 512], + in_index=[0, 1, 2, 3], + channels=256, + dropout_ratio=0.1, + num_classes=151, + norm_cfg=dict(type='SyncBN', requires_grad=True), + align_corners=False, + ignore_index=0, + loss_decode=dict( + type='CrossEntropyLoss', use_sigmoid=False, loss_weight=1.0)), + train_cfg=dict(), + test_cfg=dict(mode='whole')) +dataset_type = 'ADE20K151Dataset' +data_root = 'data/ade/ADEChallengeData2016' +img_norm_cfg = dict( + mean=[123.675, 116.28, 103.53], std=[58.395, 57.12, 57.375], to_rgb=True) +crop_size = (512, 512) +train_pipeline = [ + dict(type='LoadImageFromFile'), + dict(type='LoadAnnotations', reduce_zero_label=False), + dict(type='Resize', img_scale=(2048, 512), ratio_range=(0.5, 2.0)), + dict(type='RandomCrop', crop_size=(512, 512), cat_max_ratio=0.75), + dict(type='RandomFlip', prob=0.5), + dict(type='PhotoMetricDistortion'), + dict( + type='Normalize', + mean=[123.675, 116.28, 103.53], + std=[58.395, 57.12, 57.375], + to_rgb=True), + dict(type='Pad', size=(512, 512), pad_val=0, seg_pad_val=0), + dict(type='DefaultFormatBundle'), + dict(type='Collect', keys=['img', 'gt_semantic_seg']) +] +test_pipeline = [ + dict(type='LoadImageFromFile'), + dict( + type='MultiScaleFlipAug', + img_scale=(2048, 512), + flip=False, + transforms=[ + dict(type='Resize', keep_ratio=True), + dict(type='RandomFlip'), + dict( + type='Normalize', + mean=[123.675, 116.28, 103.53], + std=[58.395, 57.12, 57.375], + to_rgb=True), + dict(type='Pad', size_divisor=16, pad_val=0, seg_pad_val=0), + dict(type='ImageToTensor', keys=['img']), + dict(type='Collect', keys=['img']) + ]) +] +data = dict( + samples_per_gpu=4, + workers_per_gpu=4, + train=dict( + type='ADE20K151Dataset', + data_root='data/ade/ADEChallengeData2016', + img_dir='images/training', + ann_dir='annotations/training', + pipeline=[ + dict(type='LoadImageFromFile'), + dict(type='LoadAnnotations', reduce_zero_label=False), + dict(type='Resize', img_scale=(2048, 512), ratio_range=(0.5, 2.0)), + dict(type='RandomCrop', crop_size=(512, 512), cat_max_ratio=0.75), + dict(type='RandomFlip', prob=0.5), + dict(type='PhotoMetricDistortion'), + dict( + type='Normalize', + mean=[123.675, 116.28, 103.53], + std=[58.395, 57.12, 57.375], + to_rgb=True), + dict(type='Pad', size=(512, 512), pad_val=0, seg_pad_val=0), + dict(type='DefaultFormatBundle'), + dict(type='Collect', keys=['img', 'gt_semantic_seg']) + ]), + val=dict( + type='ADE20K151Dataset', + data_root='data/ade/ADEChallengeData2016', + img_dir='images/validation', + ann_dir='annotations/validation', + pipeline=[ + dict(type='LoadImageFromFile'), + dict( + type='MultiScaleFlipAug', + img_scale=(2048, 512), + flip=False, + transforms=[ + dict(type='Resize', keep_ratio=True), + dict(type='RandomFlip'), + dict( + type='Normalize', + mean=[123.675, 116.28, 103.53], + std=[58.395, 57.12, 57.375], + to_rgb=True), + dict( + type='Pad', size_divisor=16, pad_val=0, seg_pad_val=0), + dict(type='ImageToTensor', keys=['img']), + dict(type='Collect', keys=['img']) + ]) + ]), + test=dict( + type='ADE20K151Dataset', + data_root='data/ade/ADEChallengeData2016', + img_dir='images/validation', + ann_dir='annotations/validation', + pipeline=[ + dict(type='LoadImageFromFile'), + dict( + type='MultiScaleFlipAug', + img_scale=(2048, 512), + flip=False, + transforms=[ + dict(type='Resize', keep_ratio=True), + dict(type='RandomFlip'), + dict( + type='Normalize', + mean=[123.675, 116.28, 103.53], + std=[58.395, 57.12, 57.375], + to_rgb=True), + dict( + type='Pad', size_divisor=16, pad_val=0, seg_pad_val=0), + dict(type='ImageToTensor', keys=['img']), + dict(type='Collect', keys=['img']) + ]) + ])) +log_config = dict( + interval=50, hooks=[dict(type='TextLoggerHook', by_epoch=False)]) +dist_params = dict(backend='nccl') +log_level = 'INFO' +load_from = None +resume_from = None +workflow = [('train', 1)] +cudnn_benchmark = True +optimizer = dict( + type='AdamW', lr=0.00015, betas=[0.9, 0.96], weight_decay=0.045) +optimizer_config = dict() +lr_config = dict( + policy='step', + warmup='linear', + warmup_iters=1000, + warmup_ratio=1e-06, + step=20000, + gamma=0.5, + min_lr=1e-06, + by_epoch=False) +runner = dict(type='IterBasedRunner', max_iters=160000) +checkpoint_config = dict(by_epoch=False, interval=16000, max_keep_ckpts=1) +evaluation = dict( + interval=16000, metric='mIoU', pre_eval=True, save_best='mIoU') +custom_hooks = [ + dict( + type='ConstantMomentumEMAHook', + momentum=0.01, + interval=25, + eval_interval=16000, + auto_resume=True, + priority=49) +] +work_dir = './work_dirs2/ablation_segformer_mit_b2_segformer_head_unet_fc_small_multi_step_ade_pretrained_freeze_embed_160k_ade20k151_mask_finetune_maskreplace' +gpu_ids = range(0, 8) +auto_resume = True + +2023-03-05 00:29:47,703 - mmseg - INFO - Set random seed to 1452384493, deterministic: False +2023-03-05 00:29:47,966 - mmseg - INFO - Parameters in backbone freezed! +2023-03-05 00:29:47,967 - mmseg - INFO - Trainable parameters in SegformerHeadUnetFCHeadMultiStep: ['unet.init_conv.weight', 'unet.init_conv.bias', 'unet.time_mlp.1.weight', 'unet.time_mlp.1.bias', 'unet.time_mlp.3.weight', 'unet.time_mlp.3.bias', 'unet.downs.0.0.mlp.1.weight', 'unet.downs.0.0.mlp.1.bias', 'unet.downs.0.0.block1.proj.weight', 'unet.downs.0.0.block1.proj.bias', 'unet.downs.0.0.block1.norm.weight', 'unet.downs.0.0.block1.norm.bias', 'unet.downs.0.0.block2.proj.weight', 'unet.downs.0.0.block2.proj.bias', 'unet.downs.0.0.block2.norm.weight', 'unet.downs.0.0.block2.norm.bias', 'unet.downs.0.1.mlp.1.weight', 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checkpoint from local path: work_dirs2/ablation_segformer_mit_b2_segformer_head_unet_fc_single_step_ade_pretrained_freeze_embed_80k_ade20k151_mask/latest.pth +2023-03-05 00:29:48,764 - mmseg - WARNING - The model and loaded state dict do not match exactly + +unexpected key in source state_dict: decode_head.convs.0.conv.weight, decode_head.convs.0.bn.weight, decode_head.convs.0.bn.bias, decode_head.convs.0.bn.running_mean, decode_head.convs.0.bn.running_var, decode_head.convs.0.bn.num_batches_tracked, decode_head.convs.1.conv.weight, decode_head.convs.1.bn.weight, decode_head.convs.1.bn.bias, decode_head.convs.1.bn.running_mean, decode_head.convs.1.bn.running_var, decode_head.convs.1.bn.num_batches_tracked, decode_head.convs.2.conv.weight, decode_head.convs.2.bn.weight, decode_head.convs.2.bn.bias, decode_head.convs.2.bn.running_mean, decode_head.convs.2.bn.running_var, decode_head.convs.2.bn.num_batches_tracked, decode_head.convs.3.conv.weight, decode_head.convs.3.bn.weight, 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decode_head.unet.final_conv.bias, decode_head.conv_seg_new.weight, decode_head.conv_seg_new.bias, decode_head.embed.weight + +2023-03-05 00:29:48,780 - mmseg - INFO - load checkpoint from local path: work_dirs2/ablation_segformer_mit_b2_segformer_head_unet_fc_single_step_ade_pretrained_freeze_embed_80k_ade20k151_mask/latest.pth +2023-03-05 00:29:49,308 - mmseg - WARNING - The model and loaded state dict do not match exactly + +unexpected key in source state_dict: backbone.layers.0.0.projection.weight, backbone.layers.0.0.projection.bias, backbone.layers.0.0.norm.weight, backbone.layers.0.0.norm.bias, backbone.layers.0.1.0.norm1.weight, backbone.layers.0.1.0.norm1.bias, backbone.layers.0.1.0.attn.attn.in_proj_weight, backbone.layers.0.1.0.attn.attn.in_proj_bias, backbone.layers.0.1.0.attn.attn.out_proj.weight, backbone.layers.0.1.0.attn.attn.out_proj.bias, backbone.layers.0.1.0.attn.sr.weight, backbone.layers.0.1.0.attn.sr.bias, backbone.layers.0.1.0.attn.norm.weight, 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EncoderDecoderDiffusion( + (backbone): MixVisionTransformerCustomInitWeights( + (layers): ModuleList( + (0): ModuleList( + (0): PatchEmbed( + (projection): Conv2d(3, 64, kernel_size=(7, 7), stride=(4, 4), padding=(3, 3)) + (norm): LayerNorm((64,), eps=1e-06, elementwise_affine=True) + ) + (1): ModuleList( + (0): TransformerEncoderLayer( + (norm1): LayerNorm((64,), eps=1e-06, elementwise_affine=True) + (attn): EfficientMultiheadAttention( + (attn): MultiheadAttention( + (out_proj): NonDynamicallyQuantizableLinear(in_features=64, out_features=64, bias=True) + ) + (proj_drop): Dropout(p=0.0, inplace=False) + (dropout_layer): DropPath() + (sr): Conv2d(64, 64, kernel_size=(8, 8), stride=(8, 8)) + (norm): LayerNorm((64,), eps=1e-06, elementwise_affine=True) + ) + (norm2): LayerNorm((64,), eps=1e-06, elementwise_affine=True) + (ffn): MixFFN( + (activate): GELU(approximate='none') + (layers): Sequential( + (0): Conv2d(64, 256, kernel_size=(1, 1), stride=(1, 1)) + (1): Conv2d(256, 256, kernel_size=(3, 3), stride=(1, 1), padding=(1, 1), groups=256) + (2): GELU(approximate='none') + (3): Dropout(p=0.0, inplace=False) + (4): Conv2d(256, 64, kernel_size=(1, 1), stride=(1, 1)) + (5): Dropout(p=0.0, inplace=False) + ) + (dropout_layer): DropPath() + ) + ) + (1): TransformerEncoderLayer( + (norm1): LayerNorm((64,), eps=1e-06, elementwise_affine=True) + (attn): EfficientMultiheadAttention( + (attn): MultiheadAttention( + (out_proj): NonDynamicallyQuantizableLinear(in_features=64, out_features=64, bias=True) + ) + (proj_drop): Dropout(p=0.0, inplace=False) + (dropout_layer): DropPath() + (sr): Conv2d(64, 64, kernel_size=(8, 8), stride=(8, 8)) + (norm): LayerNorm((64,), eps=1e-06, elementwise_affine=True) + ) + (norm2): LayerNorm((64,), eps=1e-06, elementwise_affine=True) + (ffn): MixFFN( + (activate): GELU(approximate='none') + (layers): Sequential( + (0): Conv2d(64, 256, kernel_size=(1, 1), stride=(1, 1)) + (1): Conv2d(256, 256, kernel_size=(3, 3), stride=(1, 1), padding=(1, 1), groups=256) + (2): GELU(approximate='none') + (3): Dropout(p=0.0, inplace=False) + (4): Conv2d(256, 64, kernel_size=(1, 1), stride=(1, 1)) + (5): Dropout(p=0.0, inplace=False) + ) + (dropout_layer): DropPath() + ) + ) + (2): TransformerEncoderLayer( + (norm1): LayerNorm((64,), eps=1e-06, elementwise_affine=True) + (attn): EfficientMultiheadAttention( + (attn): MultiheadAttention( + (out_proj): NonDynamicallyQuantizableLinear(in_features=64, out_features=64, bias=True) + ) + (proj_drop): Dropout(p=0.0, inplace=False) + (dropout_layer): DropPath() + (sr): Conv2d(64, 64, kernel_size=(8, 8), stride=(8, 8)) + (norm): LayerNorm((64,), eps=1e-06, elementwise_affine=True) + ) + (norm2): LayerNorm((64,), eps=1e-06, elementwise_affine=True) + (ffn): MixFFN( + (activate): GELU(approximate='none') + (layers): Sequential( + (0): Conv2d(64, 256, kernel_size=(1, 1), stride=(1, 1)) + (1): Conv2d(256, 256, kernel_size=(3, 3), stride=(1, 1), padding=(1, 1), groups=256) + (2): GELU(approximate='none') + (3): Dropout(p=0.0, inplace=False) + (4): Conv2d(256, 64, kernel_size=(1, 1), stride=(1, 1)) + (5): Dropout(p=0.0, inplace=False) + ) + (dropout_layer): DropPath() + ) + ) + ) + (2): LayerNorm((64,), eps=1e-06, elementwise_affine=True) + ) + (1): ModuleList( + (0): PatchEmbed( + (projection): Conv2d(64, 128, kernel_size=(3, 3), stride=(2, 2), padding=(1, 1)) + (norm): LayerNorm((128,), eps=1e-06, elementwise_affine=True) + ) + (1): ModuleList( + (0): TransformerEncoderLayer( + (norm1): LayerNorm((128,), eps=1e-06, elementwise_affine=True) + (attn): EfficientMultiheadAttention( + (attn): MultiheadAttention( + (out_proj): NonDynamicallyQuantizableLinear(in_features=128, out_features=128, bias=True) + ) + (proj_drop): Dropout(p=0.0, inplace=False) + (dropout_layer): DropPath() + (sr): Conv2d(128, 128, kernel_size=(4, 4), stride=(4, 4)) + (norm): LayerNorm((128,), eps=1e-06, elementwise_affine=True) + ) + (norm2): LayerNorm((128,), eps=1e-06, elementwise_affine=True) + (ffn): MixFFN( + (activate): GELU(approximate='none') + (layers): Sequential( + (0): Conv2d(128, 512, kernel_size=(1, 1), stride=(1, 1)) + (1): Conv2d(512, 512, kernel_size=(3, 3), stride=(1, 1), padding=(1, 1), groups=512) + (2): GELU(approximate='none') + (3): Dropout(p=0.0, inplace=False) + (4): Conv2d(512, 128, kernel_size=(1, 1), stride=(1, 1)) + (5): Dropout(p=0.0, inplace=False) + ) + (dropout_layer): DropPath() + ) + ) + (1): TransformerEncoderLayer( + (norm1): LayerNorm((128,), eps=1e-06, elementwise_affine=True) + (attn): EfficientMultiheadAttention( + (attn): MultiheadAttention( + (out_proj): NonDynamicallyQuantizableLinear(in_features=128, out_features=128, bias=True) + ) + (proj_drop): Dropout(p=0.0, inplace=False) + (dropout_layer): DropPath() + (sr): Conv2d(128, 128, kernel_size=(4, 4), stride=(4, 4)) + (norm): LayerNorm((128,), eps=1e-06, elementwise_affine=True) + ) + (norm2): LayerNorm((128,), eps=1e-06, elementwise_affine=True) + (ffn): 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GELU(approximate='none') + (layers): Sequential( + (0): Conv2d(128, 512, kernel_size=(1, 1), stride=(1, 1)) + (1): Conv2d(512, 512, kernel_size=(3, 3), stride=(1, 1), padding=(1, 1), groups=512) + (2): GELU(approximate='none') + (3): Dropout(p=0.0, inplace=False) + (4): Conv2d(512, 128, kernel_size=(1, 1), stride=(1, 1)) + (5): Dropout(p=0.0, inplace=False) + ) + (dropout_layer): DropPath() + ) + ) + (3): TransformerEncoderLayer( + (norm1): LayerNorm((128,), eps=1e-06, elementwise_affine=True) + (attn): EfficientMultiheadAttention( + (attn): MultiheadAttention( + (out_proj): NonDynamicallyQuantizableLinear(in_features=128, out_features=128, bias=True) + ) + (proj_drop): Dropout(p=0.0, inplace=False) + (dropout_layer): DropPath() + (sr): Conv2d(128, 128, kernel_size=(4, 4), stride=(4, 4)) + (norm): LayerNorm((128,), eps=1e-06, elementwise_affine=True) + ) + (norm2): LayerNorm((128,), eps=1e-06, elementwise_affine=True) + (ffn): MixFFN( + (activate): GELU(approximate='none') + (layers): Sequential( + (0): Conv2d(128, 512, kernel_size=(1, 1), stride=(1, 1)) + (1): Conv2d(512, 512, kernel_size=(3, 3), stride=(1, 1), padding=(1, 1), groups=512) + (2): GELU(approximate='none') + (3): Dropout(p=0.0, inplace=False) + (4): Conv2d(512, 128, kernel_size=(1, 1), stride=(1, 1)) + (5): Dropout(p=0.0, inplace=False) + ) + (dropout_layer): DropPath() + ) + ) + ) + (2): LayerNorm((128,), eps=1e-06, elementwise_affine=True) + ) + (2): ModuleList( + (0): PatchEmbed( + (projection): Conv2d(128, 320, kernel_size=(3, 3), stride=(2, 2), padding=(1, 1)) + (norm): LayerNorm((320,), eps=1e-06, elementwise_affine=True) + ) + (1): ModuleList( + (0): TransformerEncoderLayer( + (norm1): LayerNorm((320,), eps=1e-06, elementwise_affine=True) + (attn): EfficientMultiheadAttention( + (attn): MultiheadAttention( + (out_proj): NonDynamicallyQuantizableLinear(in_features=320, out_features=320, bias=True) + ) + (proj_drop): Dropout(p=0.0, inplace=False) + (dropout_layer): DropPath() + (sr): Conv2d(320, 320, kernel_size=(2, 2), stride=(2, 2)) + (norm): LayerNorm((320,), eps=1e-06, elementwise_affine=True) + ) + (norm2): LayerNorm((320,), eps=1e-06, elementwise_affine=True) + (ffn): MixFFN( + (activate): GELU(approximate='none') + (layers): Sequential( + (0): Conv2d(320, 1280, kernel_size=(1, 1), stride=(1, 1)) + (1): Conv2d(1280, 1280, kernel_size=(3, 3), stride=(1, 1), padding=(1, 1), groups=1280) + (2): GELU(approximate='none') + (3): Dropout(p=0.0, inplace=False) + (4): Conv2d(1280, 320, kernel_size=(1, 1), stride=(1, 1)) + (5): Dropout(p=0.0, inplace=False) + ) + (dropout_layer): DropPath() + ) + ) + (1): TransformerEncoderLayer( + (norm1): LayerNorm((320,), eps=1e-06, elementwise_affine=True) + (attn): EfficientMultiheadAttention( + (attn): MultiheadAttention( + (out_proj): NonDynamicallyQuantizableLinear(in_features=320, out_features=320, bias=True) + ) + (proj_drop): Dropout(p=0.0, inplace=False) + (dropout_layer): DropPath() + (sr): Conv2d(320, 320, kernel_size=(2, 2), stride=(2, 2)) + (norm): LayerNorm((320,), eps=1e-06, elementwise_affine=True) + ) + (norm2): LayerNorm((320,), eps=1e-06, elementwise_affine=True) + (ffn): MixFFN( + (activate): GELU(approximate='none') + (layers): Sequential( + (0): Conv2d(320, 1280, kernel_size=(1, 1), stride=(1, 1)) + (1): Conv2d(1280, 1280, kernel_size=(3, 3), stride=(1, 1), padding=(1, 1), groups=1280) + (2): GELU(approximate='none') + (3): Dropout(p=0.0, inplace=False) + (4): Conv2d(1280, 320, kernel_size=(1, 1), stride=(1, 1)) + (5): Dropout(p=0.0, inplace=False) + ) + (dropout_layer): DropPath() + ) + ) + (2): TransformerEncoderLayer( + (norm1): LayerNorm((320,), eps=1e-06, elementwise_affine=True) + (attn): EfficientMultiheadAttention( + (attn): MultiheadAttention( + (out_proj): NonDynamicallyQuantizableLinear(in_features=320, out_features=320, bias=True) + ) + (proj_drop): Dropout(p=0.0, inplace=False) + (dropout_layer): DropPath() + (sr): Conv2d(320, 320, kernel_size=(2, 2), stride=(2, 2)) + (norm): LayerNorm((320,), eps=1e-06, elementwise_affine=True) + ) + (norm2): LayerNorm((320,), eps=1e-06, elementwise_affine=True) + (ffn): MixFFN( + (activate): GELU(approximate='none') + (layers): Sequential( + (0): Conv2d(320, 1280, kernel_size=(1, 1), stride=(1, 1)) + (1): Conv2d(1280, 1280, kernel_size=(3, 3), stride=(1, 1), padding=(1, 1), groups=1280) + (2): GELU(approximate='none') + (3): Dropout(p=0.0, inplace=False) + (4): Conv2d(1280, 320, kernel_size=(1, 1), stride=(1, 1)) + (5): Dropout(p=0.0, inplace=False) + ) + (dropout_layer): DropPath() + ) + ) + (3): TransformerEncoderLayer( + (norm1): LayerNorm((320,), eps=1e-06, elementwise_affine=True) + (attn): EfficientMultiheadAttention( + (attn): MultiheadAttention( + (out_proj): NonDynamicallyQuantizableLinear(in_features=320, out_features=320, bias=True) + ) + (proj_drop): Dropout(p=0.0, inplace=False) + (dropout_layer): DropPath() + (sr): Conv2d(320, 320, kernel_size=(2, 2), stride=(2, 2)) + (norm): LayerNorm((320,), eps=1e-06, elementwise_affine=True) + ) + (norm2): LayerNorm((320,), eps=1e-06, elementwise_affine=True) + (ffn): MixFFN( + (activate): GELU(approximate='none') + (layers): Sequential( + (0): Conv2d(320, 1280, kernel_size=(1, 1), stride=(1, 1)) + (1): Conv2d(1280, 1280, kernel_size=(3, 3), stride=(1, 1), padding=(1, 1), groups=1280) + (2): GELU(approximate='none') + (3): Dropout(p=0.0, inplace=False) + (4): Conv2d(1280, 320, kernel_size=(1, 1), stride=(1, 1)) + (5): Dropout(p=0.0, inplace=False) + ) + (dropout_layer): DropPath() + ) + ) + (4): TransformerEncoderLayer( + (norm1): LayerNorm((320,), eps=1e-06, elementwise_affine=True) + (attn): EfficientMultiheadAttention( + (attn): MultiheadAttention( + (out_proj): NonDynamicallyQuantizableLinear(in_features=320, out_features=320, bias=True) + ) + (proj_drop): Dropout(p=0.0, inplace=False) + (dropout_layer): DropPath() + (sr): Conv2d(320, 320, kernel_size=(2, 2), stride=(2, 2)) + (norm): LayerNorm((320,), eps=1e-06, elementwise_affine=True) + ) + (norm2): LayerNorm((320,), eps=1e-06, elementwise_affine=True) + (ffn): MixFFN( + (activate): GELU(approximate='none') + (layers): Sequential( + (0): Conv2d(320, 1280, kernel_size=(1, 1), stride=(1, 1)) + (1): Conv2d(1280, 1280, kernel_size=(3, 3), stride=(1, 1), padding=(1, 1), groups=1280) + (2): GELU(approximate='none') + (3): Dropout(p=0.0, inplace=False) + (4): Conv2d(1280, 320, kernel_size=(1, 1), stride=(1, 1)) + (5): Dropout(p=0.0, inplace=False) + ) + (dropout_layer): DropPath() + ) + ) + (5): TransformerEncoderLayer( + (norm1): LayerNorm((320,), eps=1e-06, elementwise_affine=True) + (attn): EfficientMultiheadAttention( + (attn): MultiheadAttention( + (out_proj): NonDynamicallyQuantizableLinear(in_features=320, out_features=320, bias=True) + ) + (proj_drop): Dropout(p=0.0, inplace=False) + (dropout_layer): DropPath() + (sr): Conv2d(320, 320, kernel_size=(2, 2), stride=(2, 2)) + (norm): LayerNorm((320,), eps=1e-06, elementwise_affine=True) + ) + (norm2): LayerNorm((320,), eps=1e-06, elementwise_affine=True) + (ffn): MixFFN( + (activate): GELU(approximate='none') + (layers): Sequential( + (0): Conv2d(320, 1280, kernel_size=(1, 1), stride=(1, 1)) + (1): Conv2d(1280, 1280, kernel_size=(3, 3), stride=(1, 1), padding=(1, 1), groups=1280) + (2): GELU(approximate='none') + (3): Dropout(p=0.0, inplace=False) + (4): Conv2d(1280, 320, kernel_size=(1, 1), stride=(1, 1)) + (5): Dropout(p=0.0, inplace=False) + ) + (dropout_layer): DropPath() + ) + ) + ) + (2): LayerNorm((320,), eps=1e-06, elementwise_affine=True) + ) + (3): ModuleList( + (0): PatchEmbed( + (projection): Conv2d(320, 512, kernel_size=(3, 3), stride=(2, 2), padding=(1, 1)) + (norm): LayerNorm((512,), eps=1e-06, elementwise_affine=True) + ) + (1): ModuleList( + (0): TransformerEncoderLayer( + (norm1): LayerNorm((512,), eps=1e-06, elementwise_affine=True) + (attn): EfficientMultiheadAttention( + (attn): MultiheadAttention( + (out_proj): NonDynamicallyQuantizableLinear(in_features=512, out_features=512, bias=True) + ) + (proj_drop): Dropout(p=0.0, inplace=False) + (dropout_layer): DropPath() + ) + (norm2): LayerNorm((512,), eps=1e-06, elementwise_affine=True) + (ffn): MixFFN( + (activate): GELU(approximate='none') + (layers): Sequential( + (0): Conv2d(512, 2048, kernel_size=(1, 1), stride=(1, 1)) + (1): Conv2d(2048, 2048, kernel_size=(3, 3), stride=(1, 1), padding=(1, 1), groups=2048) + (2): GELU(approximate='none') + (3): Dropout(p=0.0, inplace=False) + (4): Conv2d(2048, 512, kernel_size=(1, 1), stride=(1, 1)) + (5): Dropout(p=0.0, inplace=False) + ) + (dropout_layer): DropPath() + ) + ) + (1): TransformerEncoderLayer( + (norm1): LayerNorm((512,), eps=1e-06, elementwise_affine=True) + (attn): EfficientMultiheadAttention( + (attn): MultiheadAttention( + (out_proj): NonDynamicallyQuantizableLinear(in_features=512, out_features=512, bias=True) + ) + (proj_drop): Dropout(p=0.0, inplace=False) + (dropout_layer): DropPath() + ) + (norm2): LayerNorm((512,), eps=1e-06, elementwise_affine=True) + (ffn): MixFFN( + (activate): GELU(approximate='none') + (layers): Sequential( + (0): Conv2d(512, 2048, kernel_size=(1, 1), stride=(1, 1)) + (1): Conv2d(2048, 2048, kernel_size=(3, 3), stride=(1, 1), padding=(1, 1), groups=2048) + (2): GELU(approximate='none') + (3): Dropout(p=0.0, inplace=False) + (4): Conv2d(2048, 512, kernel_size=(1, 1), stride=(1, 1)) + (5): Dropout(p=0.0, inplace=False) + ) + (dropout_layer): DropPath() + ) + ) + (2): TransformerEncoderLayer( + (norm1): LayerNorm((512,), eps=1e-06, elementwise_affine=True) + (attn): EfficientMultiheadAttention( + (attn): MultiheadAttention( + (out_proj): NonDynamicallyQuantizableLinear(in_features=512, out_features=512, bias=True) + ) + (proj_drop): Dropout(p=0.0, inplace=False) + (dropout_layer): DropPath() + ) + (norm2): LayerNorm((512,), eps=1e-06, elementwise_affine=True) + (ffn): MixFFN( + (activate): GELU(approximate='none') + (layers): Sequential( + (0): Conv2d(512, 2048, kernel_size=(1, 1), stride=(1, 1)) + (1): Conv2d(2048, 2048, kernel_size=(3, 3), stride=(1, 1), padding=(1, 1), groups=2048) + (2): GELU(approximate='none') + (3): Dropout(p=0.0, inplace=False) + (4): Conv2d(2048, 512, kernel_size=(1, 1), stride=(1, 1)) + (5): Dropout(p=0.0, inplace=False) + ) + (dropout_layer): DropPath() + ) + ) + ) + (2): LayerNorm((512,), eps=1e-06, elementwise_affine=True) + ) + ) + ) + init_cfg={'type': 'Pretrained', 'checkpoint': 'work_dirs2/ablation_segformer_mit_b2_segformer_head_unet_fc_single_step_ade_pretrained_freeze_embed_80k_ade20k151_mask/latest.pth'} + (decode_head): SegformerHeadUnetFCHeadMultiStepMaskReplace( + input_transform=multiple_select, ignore_index=0, align_corners=False + (loss_decode): CrossEntropyLoss(avg_non_ignore=False) + (conv_seg): None + (dropout): Dropout2d(p=0.1, inplace=False) + (convs): ModuleList( + (0): ConvModule( + (conv): Conv2d(64, 256, kernel_size=(1, 1), stride=(1, 1), bias=False) + (bn): SyncBatchNorm(256, eps=1e-05, momentum=0.1, affine=True, track_running_stats=True) + (activate): ReLU(inplace=True) + ) + (1): ConvModule( + (conv): Conv2d(128, 256, kernel_size=(1, 1), stride=(1, 1), bias=False) + (bn): SyncBatchNorm(256, eps=1e-05, momentum=0.1, affine=True, track_running_stats=True) + (activate): ReLU(inplace=True) + ) + (2): ConvModule( + (conv): Conv2d(320, 256, kernel_size=(1, 1), stride=(1, 1), bias=False) + (bn): SyncBatchNorm(256, eps=1e-05, momentum=0.1, affine=True, track_running_stats=True) + (activate): ReLU(inplace=True) + ) + (3): ConvModule( + (conv): Conv2d(512, 256, kernel_size=(1, 1), stride=(1, 1), bias=False) + (bn): SyncBatchNorm(256, eps=1e-05, momentum=0.1, affine=True, track_running_stats=True) + (activate): ReLU(inplace=True) + ) + ) + (fusion_conv): ConvModule( + (conv): Conv2d(1024, 256, kernel_size=(1, 1), stride=(1, 1), bias=False) + (bn): SyncBatchNorm(256, eps=1e-05, momentum=0.1, affine=True, track_running_stats=True) + (activate): ReLU(inplace=True) + ) + (unet): Unet( + (init_conv): Conv2d(272, 128, kernel_size=(7, 7), stride=(1, 1), padding=(3, 3)) + (time_mlp): Sequential( + (0): SinusoidalPosEmb() + (1): Linear(in_features=128, out_features=512, bias=True) + (2): GELU(approximate='none') + (3): Linear(in_features=512, out_features=512, bias=True) + ) + (downs): ModuleList( + (0): ModuleList( + (0): ResnetBlock( + (mlp): Sequential( + (0): SiLU() + (1): Linear(in_features=512, out_features=256, bias=True) + ) + (block1): Block( + (proj): WeightStandardizedConv2d(128, 128, kernel_size=(3, 3), stride=(1, 1), padding=(1, 1)) + (norm): GroupNorm(8, 128, eps=1e-05, affine=True) + (act): SiLU() + ) + (block2): Block( + (proj): WeightStandardizedConv2d(128, 128, kernel_size=(3, 3), stride=(1, 1), padding=(1, 1)) + (norm): GroupNorm(8, 128, eps=1e-05, affine=True) + (act): SiLU() + ) + (res_conv): Identity() + ) + (1): ResnetBlock( + (mlp): Sequential( + (0): SiLU() + (1): Linear(in_features=512, out_features=256, bias=True) + ) + (block1): Block( + (proj): WeightStandardizedConv2d(128, 128, kernel_size=(3, 3), stride=(1, 1), padding=(1, 1)) + (norm): GroupNorm(8, 128, eps=1e-05, affine=True) + (act): SiLU() + ) + (block2): Block( + (proj): WeightStandardizedConv2d(128, 128, kernel_size=(3, 3), stride=(1, 1), padding=(1, 1)) + (norm): GroupNorm(8, 128, eps=1e-05, affine=True) + (act): SiLU() + ) + (res_conv): Identity() + ) + (2): Residual( + (fn): PreNorm( + (fn): LinearAttention( + (to_qkv): Conv2d(128, 384, kernel_size=(1, 1), stride=(1, 1), bias=False) + (to_out): Sequential( + (0): Conv2d(128, 128, kernel_size=(1, 1), stride=(1, 1)) + (1): LayerNorm() + ) + ) + (norm): LayerNorm() + ) + ) + (3): Conv2d(128, 128, kernel_size=(4, 4), stride=(2, 2), padding=(1, 1)) + ) + (1): ModuleList( + (0): ResnetBlock( + (mlp): Sequential( + (0): SiLU() + (1): Linear(in_features=512, out_features=256, bias=True) + ) + (block1): Block( + (proj): WeightStandardizedConv2d(128, 128, kernel_size=(3, 3), stride=(1, 1), padding=(1, 1)) + (norm): GroupNorm(8, 128, eps=1e-05, affine=True) + (act): SiLU() + ) + (block2): Block( + (proj): WeightStandardizedConv2d(128, 128, kernel_size=(3, 3), stride=(1, 1), padding=(1, 1)) + (norm): GroupNorm(8, 128, eps=1e-05, affine=True) + (act): SiLU() + ) + (res_conv): Identity() + ) + (1): ResnetBlock( + (mlp): Sequential( + (0): SiLU() + (1): Linear(in_features=512, out_features=256, bias=True) + ) + (block1): Block( + (proj): WeightStandardizedConv2d(128, 128, kernel_size=(3, 3), stride=(1, 1), padding=(1, 1)) + (norm): GroupNorm(8, 128, eps=1e-05, affine=True) + (act): SiLU() + ) + (block2): Block( + (proj): WeightStandardizedConv2d(128, 128, kernel_size=(3, 3), stride=(1, 1), padding=(1, 1)) + (norm): GroupNorm(8, 128, eps=1e-05, affine=True) + (act): SiLU() + ) + (res_conv): Identity() + ) + (2): Residual( + (fn): PreNorm( + (fn): LinearAttention( + (to_qkv): Conv2d(128, 384, kernel_size=(1, 1), stride=(1, 1), bias=False) + (to_out): Sequential( + (0): Conv2d(128, 128, kernel_size=(1, 1), stride=(1, 1)) + (1): LayerNorm() + ) + ) + (norm): LayerNorm() + ) + ) + (3): Conv2d(128, 128, kernel_size=(4, 4), stride=(2, 2), padding=(1, 1)) + ) + (2): ModuleList( + (0): ResnetBlock( + (mlp): Sequential( + (0): SiLU() + (1): Linear(in_features=512, out_features=256, bias=True) + ) + (block1): Block( + (proj): WeightStandardizedConv2d(128, 128, kernel_size=(3, 3), stride=(1, 1), padding=(1, 1)) + (norm): GroupNorm(8, 128, eps=1e-05, affine=True) + (act): SiLU() + ) + (block2): Block( + (proj): WeightStandardizedConv2d(128, 128, kernel_size=(3, 3), stride=(1, 1), padding=(1, 1)) + (norm): GroupNorm(8, 128, eps=1e-05, affine=True) + (act): SiLU() + ) + (res_conv): Identity() + ) + (1): ResnetBlock( + (mlp): Sequential( + (0): SiLU() + (1): Linear(in_features=512, out_features=256, bias=True) + ) + (block1): Block( + (proj): WeightStandardizedConv2d(128, 128, kernel_size=(3, 3), stride=(1, 1), padding=(1, 1)) + (norm): GroupNorm(8, 128, eps=1e-05, affine=True) + (act): SiLU() + ) + (block2): Block( + (proj): WeightStandardizedConv2d(128, 128, kernel_size=(3, 3), stride=(1, 1), padding=(1, 1)) + (norm): GroupNorm(8, 128, eps=1e-05, affine=True) + (act): SiLU() + ) + (res_conv): Identity() + ) + (2): Residual( + (fn): PreNorm( + (fn): LinearAttention( + (to_qkv): Conv2d(128, 384, kernel_size=(1, 1), stride=(1, 1), bias=False) + (to_out): Sequential( + (0): Conv2d(128, 128, kernel_size=(1, 1), stride=(1, 1)) + (1): LayerNorm() + ) + ) + (norm): LayerNorm() + ) + ) + (3): Conv2d(128, 128, kernel_size=(3, 3), stride=(1, 1), padding=(1, 1)) + ) + ) + (ups): ModuleList( + (0): ModuleList( + (0): ResnetBlock( + (mlp): Sequential( + (0): SiLU() + (1): Linear(in_features=512, out_features=256, bias=True) + ) + (block1): Block( + (proj): WeightStandardizedConv2d(256, 128, kernel_size=(3, 3), stride=(1, 1), padding=(1, 1)) + (norm): GroupNorm(8, 128, eps=1e-05, affine=True) + (act): SiLU() + ) + (block2): Block( + (proj): WeightStandardizedConv2d(128, 128, kernel_size=(3, 3), stride=(1, 1), padding=(1, 1)) + (norm): GroupNorm(8, 128, eps=1e-05, affine=True) + (act): SiLU() + ) + (res_conv): Conv2d(256, 128, kernel_size=(1, 1), stride=(1, 1)) + ) + (1): ResnetBlock( + (mlp): Sequential( + (0): SiLU() + (1): Linear(in_features=512, out_features=256, bias=True) + ) + (block1): Block( + (proj): WeightStandardizedConv2d(256, 128, kernel_size=(3, 3), stride=(1, 1), padding=(1, 1)) + (norm): GroupNorm(8, 128, eps=1e-05, affine=True) + (act): SiLU() + ) + (block2): Block( + (proj): WeightStandardizedConv2d(128, 128, kernel_size=(3, 3), stride=(1, 1), padding=(1, 1)) + (norm): GroupNorm(8, 128, eps=1e-05, affine=True) + (act): SiLU() + ) + (res_conv): Conv2d(256, 128, kernel_size=(1, 1), stride=(1, 1)) + ) + (2): Residual( + (fn): PreNorm( + (fn): LinearAttention( + (to_qkv): Conv2d(128, 384, kernel_size=(1, 1), stride=(1, 1), bias=False) + (to_out): Sequential( + (0): Conv2d(128, 128, kernel_size=(1, 1), stride=(1, 1)) + (1): LayerNorm() + ) + ) + (norm): LayerNorm() + ) + ) + (3): Sequential( + (0): Upsample(scale_factor=2.0, mode=nearest) + (1): Conv2d(128, 128, kernel_size=(3, 3), stride=(1, 1), padding=(1, 1)) + ) + ) + (1): ModuleList( + (0): ResnetBlock( + (mlp): Sequential( + (0): SiLU() + (1): Linear(in_features=512, out_features=256, bias=True) + ) + (block1): Block( + (proj): WeightStandardizedConv2d(256, 128, kernel_size=(3, 3), stride=(1, 1), padding=(1, 1)) + (norm): GroupNorm(8, 128, eps=1e-05, affine=True) + (act): SiLU() + ) + (block2): Block( + (proj): WeightStandardizedConv2d(128, 128, kernel_size=(3, 3), stride=(1, 1), padding=(1, 1)) + (norm): GroupNorm(8, 128, eps=1e-05, affine=True) + (act): SiLU() + ) + (res_conv): Conv2d(256, 128, kernel_size=(1, 1), stride=(1, 1)) + ) + (1): ResnetBlock( + (mlp): Sequential( + (0): SiLU() + (1): Linear(in_features=512, out_features=256, bias=True) + ) + (block1): Block( + (proj): WeightStandardizedConv2d(256, 128, kernel_size=(3, 3), stride=(1, 1), padding=(1, 1)) + (norm): GroupNorm(8, 128, eps=1e-05, affine=True) + (act): SiLU() + ) + (block2): Block( + (proj): WeightStandardizedConv2d(128, 128, kernel_size=(3, 3), stride=(1, 1), padding=(1, 1)) + (norm): GroupNorm(8, 128, eps=1e-05, affine=True) + (act): SiLU() + ) + (res_conv): Conv2d(256, 128, kernel_size=(1, 1), stride=(1, 1)) + ) + (2): Residual( + (fn): PreNorm( + (fn): LinearAttention( + (to_qkv): Conv2d(128, 384, kernel_size=(1, 1), stride=(1, 1), bias=False) + (to_out): Sequential( + (0): Conv2d(128, 128, kernel_size=(1, 1), stride=(1, 1)) + (1): LayerNorm() + ) + ) + (norm): LayerNorm() + ) + ) + (3): Sequential( + (0): Upsample(scale_factor=2.0, mode=nearest) + (1): Conv2d(128, 128, kernel_size=(3, 3), stride=(1, 1), padding=(1, 1)) + ) + ) + (2): ModuleList( + (0): ResnetBlock( + (mlp): Sequential( + (0): SiLU() + (1): Linear(in_features=512, out_features=256, bias=True) + ) + (block1): Block( + (proj): WeightStandardizedConv2d(256, 128, kernel_size=(3, 3), stride=(1, 1), padding=(1, 1)) + (norm): GroupNorm(8, 128, eps=1e-05, affine=True) + (act): SiLU() + ) + (block2): Block( + (proj): WeightStandardizedConv2d(128, 128, kernel_size=(3, 3), stride=(1, 1), padding=(1, 1)) + (norm): GroupNorm(8, 128, eps=1e-05, affine=True) + (act): SiLU() + ) + (res_conv): Conv2d(256, 128, kernel_size=(1, 1), stride=(1, 1)) + ) + (1): ResnetBlock( + (mlp): Sequential( + (0): SiLU() + (1): Linear(in_features=512, out_features=256, bias=True) + ) + (block1): Block( + (proj): WeightStandardizedConv2d(256, 128, kernel_size=(3, 3), stride=(1, 1), padding=(1, 1)) + (norm): GroupNorm(8, 128, eps=1e-05, affine=True) + (act): SiLU() + ) + (block2): Block( + (proj): WeightStandardizedConv2d(128, 128, kernel_size=(3, 3), stride=(1, 1), padding=(1, 1)) + (norm): GroupNorm(8, 128, eps=1e-05, affine=True) + (act): SiLU() + ) + (res_conv): Conv2d(256, 128, kernel_size=(1, 1), stride=(1, 1)) + ) + (2): Residual( + (fn): PreNorm( + (fn): LinearAttention( + (to_qkv): Conv2d(128, 384, kernel_size=(1, 1), stride=(1, 1), bias=False) + (to_out): Sequential( + (0): Conv2d(128, 128, kernel_size=(1, 1), stride=(1, 1)) + (1): LayerNorm() + ) + ) + (norm): LayerNorm() + ) + ) + (3): Conv2d(128, 128, kernel_size=(3, 3), stride=(1, 1), padding=(1, 1)) + ) + ) + (mid_block1): ResnetBlock( + (mlp): Sequential( + (0): SiLU() + (1): Linear(in_features=512, out_features=256, bias=True) + ) + (block1): Block( + (proj): WeightStandardizedConv2d(128, 128, kernel_size=(3, 3), stride=(1, 1), padding=(1, 1)) + (norm): GroupNorm(8, 128, eps=1e-05, affine=True) + (act): SiLU() + ) + (block2): Block( + (proj): WeightStandardizedConv2d(128, 128, kernel_size=(3, 3), stride=(1, 1), padding=(1, 1)) + (norm): GroupNorm(8, 128, eps=1e-05, affine=True) + (act): SiLU() + ) + (res_conv): Identity() + ) + (mid_attn): Residual( + (fn): PreNorm( + (fn): Attention( + (to_qkv): Conv2d(128, 384, kernel_size=(1, 1), stride=(1, 1), bias=False) + (to_out): Conv2d(128, 128, kernel_size=(1, 1), stride=(1, 1)) + ) + (norm): LayerNorm() + ) + ) + (mid_block2): ResnetBlock( + (mlp): Sequential( + (0): SiLU() + (1): Linear(in_features=512, out_features=256, bias=True) + ) + (block1): Block( + (proj): WeightStandardizedConv2d(128, 128, kernel_size=(3, 3), stride=(1, 1), padding=(1, 1)) + (norm): GroupNorm(8, 128, eps=1e-05, affine=True) + (act): SiLU() + ) + (block2): Block( + (proj): WeightStandardizedConv2d(128, 128, kernel_size=(3, 3), stride=(1, 1), padding=(1, 1)) + (norm): GroupNorm(8, 128, eps=1e-05, affine=True) + (act): SiLU() + ) + (res_conv): Identity() + ) + (final_res_block): ResnetBlock( + (mlp): Sequential( + (0): SiLU() + (1): Linear(in_features=512, out_features=256, bias=True) + ) + (block1): Block( + (proj): WeightStandardizedConv2d(256, 128, kernel_size=(3, 3), stride=(1, 1), padding=(1, 1)) + (norm): GroupNorm(8, 128, eps=1e-05, affine=True) + (act): SiLU() + ) + (block2): Block( + (proj): WeightStandardizedConv2d(128, 128, kernel_size=(3, 3), stride=(1, 1), padding=(1, 1)) + (norm): GroupNorm(8, 128, eps=1e-05, affine=True) + (act): SiLU() + ) + (res_conv): Conv2d(256, 128, kernel_size=(1, 1), stride=(1, 1)) + ) + (final_conv): Conv2d(128, 256, kernel_size=(1, 1), stride=(1, 1)) + ) + (conv_seg_new): Conv2d(256, 151, kernel_size=(1, 1), stride=(1, 1)) + (embed): Embedding(152, 16) + ) + init_cfg={'type': 'Pretrained', 'checkpoint': 'work_dirs2/ablation_segformer_mit_b2_segformer_head_unet_fc_single_step_ade_pretrained_freeze_embed_80k_ade20k151_mask/latest.pth'} +) +2023-03-05 00:29:49,822 - mmseg - INFO - Loaded 20210 images +2023-03-05 00:29:54,379 - mmseg - INFO - Loaded 2000 images +2023-03-05 00:29:54,381 - mmseg - INFO - Start running, host: laizeqiang@SH-IDC1-10-140-37-153, work_dir: /mnt/petrelfs/laizeqiang/mmseg-baseline/work_dirs2/ablation_segformer_mit_b2_segformer_head_unet_fc_small_multi_step_ade_pretrained_freeze_embed_160k_ade20k151_mask_finetune_maskreplace +2023-03-05 00:29:54,382 - mmseg - INFO - Hooks will be executed in the following order: +before_run: +(VERY_HIGH ) StepLrUpdaterHook +(49 ) ConstantMomentumEMAHook +(NORMAL ) CheckpointHook +(LOW ) DistEvalHookMultiSteps +(VERY_LOW ) TextLoggerHook + -------------------- +before_train_epoch: +(VERY_HIGH ) StepLrUpdaterHook +(LOW ) IterTimerHook +(LOW ) DistEvalHookMultiSteps +(VERY_LOW ) TextLoggerHook + -------------------- +before_train_iter: +(VERY_HIGH ) StepLrUpdaterHook +(49 ) ConstantMomentumEMAHook +(LOW ) IterTimerHook +(LOW ) DistEvalHookMultiSteps + -------------------- +after_train_iter: +(ABOVE_NORMAL) OptimizerHook +(49 ) ConstantMomentumEMAHook +(NORMAL ) CheckpointHook +(LOW ) IterTimerHook +(LOW ) DistEvalHookMultiSteps +(VERY_LOW ) TextLoggerHook + -------------------- +after_train_epoch: +(NORMAL ) CheckpointHook +(LOW ) DistEvalHookMultiSteps +(VERY_LOW ) TextLoggerHook + -------------------- +before_val_epoch: +(LOW ) IterTimerHook +(VERY_LOW ) TextLoggerHook + -------------------- +before_val_iter: +(LOW ) IterTimerHook + -------------------- +after_val_iter: +(LOW ) IterTimerHook + -------------------- +after_val_epoch: +(VERY_LOW ) TextLoggerHook + -------------------- +after_run: +(VERY_LOW ) TextLoggerHook + -------------------- +2023-03-05 00:29:54,382 - mmseg - INFO - workflow: [('train', 1)], max: 160000 iters +2023-03-05 00:29:54,425 - mmseg - INFO - Checkpoints will be saved to /mnt/petrelfs/laizeqiang/mmseg-baseline/work_dirs2/ablation_segformer_mit_b2_segformer_head_unet_fc_small_multi_step_ade_pretrained_freeze_embed_160k_ade20k151_mask_finetune_maskreplace by HardDiskBackend. +2023-03-05 00:30:19,120 - mmseg - INFO - Swap parameters (before train) before iter [1] +2023-03-05 00:30:34,489 - mmseg - INFO - Iter [50/160000] lr: 7.350e-06, eta: 14:06:14, time: 0.317, data_time: 0.017, memory: 19921, decode.loss_ce: 0.2145, decode.acc_seg: 91.2055, loss: 0.2145 +2023-03-05 00:30:45,294 - mmseg - INFO - Iter [100/160000] lr: 1.485e-05, eta: 11:50:51, time: 0.216, data_time: 0.006, memory: 19921, decode.loss_ce: 0.2017, decode.acc_seg: 91.7102, loss: 0.2017 +2023-03-05 00:30:55,129 - mmseg - INFO - Iter [150/160000] lr: 2.235e-05, eta: 10:48:25, time: 0.197, data_time: 0.006, memory: 19921, decode.loss_ce: 0.2048, decode.acc_seg: 91.6096, loss: 0.2048 +2023-03-05 00:31:04,766 - mmseg - INFO - Iter [200/160000] lr: 2.985e-05, eta: 10:14:30, time: 0.193, data_time: 0.006, memory: 19921, decode.loss_ce: 0.2000, decode.acc_seg: 91.5977, loss: 0.2000 +2023-03-05 00:31:14,426 - mmseg - INFO - Iter [250/160000] lr: 3.735e-05, eta: 9:54:19, time: 0.193, data_time: 0.006, memory: 19921, decode.loss_ce: 0.1992, decode.acc_seg: 91.7679, loss: 0.1992 +2023-03-05 00:31:24,261 - mmseg - INFO - Iter [300/160000] lr: 4.485e-05, eta: 9:42:22, time: 0.197, data_time: 0.006, memory: 19921, decode.loss_ce: 0.2021, decode.acc_seg: 91.7264, loss: 0.2021 +2023-03-05 00:31:33,939 - mmseg - INFO - Iter [350/160000] lr: 5.235e-05, eta: 9:32:35, time: 0.194, data_time: 0.006, memory: 19921, decode.loss_ce: 0.2055, decode.acc_seg: 91.7258, loss: 0.2055 +2023-03-05 00:31:43,478 - mmseg - INFO - Iter [400/160000] lr: 5.985e-05, eta: 9:24:17, time: 0.191, data_time: 0.006, memory: 19921, decode.loss_ce: 0.2022, decode.acc_seg: 91.6235, loss: 0.2022 +2023-03-05 00:31:53,796 - mmseg - INFO - Iter [450/160000] lr: 6.735e-05, eta: 9:22:23, time: 0.206, data_time: 0.007, memory: 19921, decode.loss_ce: 0.2085, decode.acc_seg: 91.4227, loss: 0.2085 +2023-03-05 00:32:03,759 - mmseg - INFO - Iter [500/160000] lr: 7.485e-05, eta: 9:18:58, time: 0.199, data_time: 0.007, memory: 19921, decode.loss_ce: 0.1957, decode.acc_seg: 91.7546, loss: 0.1957 +2023-03-05 00:32:13,291 - mmseg - INFO - Iter [550/160000] lr: 8.235e-05, eta: 9:14:03, time: 0.191, data_time: 0.007, memory: 19921, decode.loss_ce: 0.2103, decode.acc_seg: 91.4671, loss: 0.2103 +2023-03-05 00:32:23,055 - mmseg - INFO - Iter [600/160000] lr: 8.985e-05, eta: 9:10:57, time: 0.195, data_time: 0.006, memory: 19921, decode.loss_ce: 0.2158, decode.acc_seg: 91.2196, loss: 0.2158 +2023-03-05 00:32:35,184 - mmseg - INFO - Iter [650/160000] lr: 9.735e-05, eta: 9:17:58, time: 0.243, data_time: 0.054, memory: 19921, decode.loss_ce: 0.2093, decode.acc_seg: 91.4745, loss: 0.2093 +2023-03-05 00:32:44,968 - mmseg - INFO - Iter [700/160000] lr: 1.049e-04, eta: 9:15:03, time: 0.196, data_time: 0.007, memory: 19921, decode.loss_ce: 0.2125, decode.acc_seg: 91.3894, loss: 0.2125 +2023-03-05 00:32:54,691 - mmseg - INFO - Iter [750/160000] lr: 1.124e-04, eta: 9:12:18, time: 0.194, data_time: 0.006, memory: 19921, decode.loss_ce: 0.2094, decode.acc_seg: 91.5429, loss: 0.2094 +2023-03-05 00:33:04,450 - mmseg - INFO - Iter [800/160000] lr: 1.199e-04, eta: 9:09:59, time: 0.195, data_time: 0.006, memory: 19921, decode.loss_ce: 0.2100, decode.acc_seg: 91.4988, loss: 0.2100 +2023-03-05 00:33:14,959 - mmseg - INFO - Iter [850/160000] lr: 1.274e-04, eta: 9:10:16, time: 0.210, data_time: 0.007, memory: 19921, decode.loss_ce: 0.2097, decode.acc_seg: 91.3199, loss: 0.2097 +2023-03-05 00:33:24,655 - mmseg - INFO - Iter [900/160000] lr: 1.349e-04, eta: 9:08:05, time: 0.194, data_time: 0.007, memory: 19921, decode.loss_ce: 0.2146, decode.acc_seg: 91.1672, loss: 0.2146 +2023-03-05 00:33:34,583 - mmseg - INFO - Iter [950/160000] lr: 1.424e-04, eta: 9:06:47, time: 0.199, data_time: 0.007, memory: 19921, decode.loss_ce: 0.2157, decode.acc_seg: 91.1024, loss: 0.2157 +2023-03-05 00:33:44,451 - mmseg - INFO - Exp name: ablation_segformer_mit_b2_segformer_head_unet_fc_small_multi_step_ade_pretrained_freeze_embed_160k_ade20k151_mask_finetune_maskreplace.py +2023-03-05 00:33:44,451 - mmseg - INFO - Iter [1000/160000] lr: 1.499e-04, eta: 9:05:26, time: 0.197, data_time: 0.007, memory: 19921, decode.loss_ce: 0.2068, decode.acc_seg: 91.4186, loss: 0.2068 +2023-03-05 00:33:53,999 - mmseg - INFO - Iter [1050/160000] lr: 1.500e-04, eta: 9:03:23, time: 0.191, data_time: 0.007, memory: 19921, decode.loss_ce: 0.2164, decode.acc_seg: 91.1313, loss: 0.2164 +2023-03-05 00:34:03,748 - mmseg - INFO - Iter [1100/160000] lr: 1.500e-04, eta: 9:01:59, time: 0.195, data_time: 0.007, memory: 19921, decode.loss_ce: 0.2057, decode.acc_seg: 91.5564, loss: 0.2057 +2023-03-05 00:34:13,433 - mmseg - INFO - Iter [1150/160000] lr: 1.500e-04, eta: 9:00:33, time: 0.194, data_time: 0.007, memory: 19921, decode.loss_ce: 0.2257, decode.acc_seg: 91.0152, loss: 0.2257 +2023-03-05 00:34:23,177 - mmseg - INFO - Iter [1200/160000] lr: 1.500e-04, eta: 8:59:20, time: 0.195, data_time: 0.007, memory: 19921, decode.loss_ce: 0.2287, decode.acc_seg: 90.9197, loss: 0.2287 +2023-03-05 00:34:33,049 - mmseg - INFO - Iter [1250/160000] lr: 1.500e-04, eta: 8:58:31, time: 0.198, data_time: 0.007, memory: 19921, decode.loss_ce: 0.2186, decode.acc_seg: 91.0625, loss: 0.2186 +2023-03-05 00:34:45,469 - mmseg - INFO - Iter [1300/160000] lr: 1.500e-04, eta: 9:02:54, time: 0.248, data_time: 0.053, memory: 19921, decode.loss_ce: 0.2173, decode.acc_seg: 91.1380, loss: 0.2173 +2023-03-05 00:34:55,338 - mmseg - INFO - Iter [1350/160000] lr: 1.500e-04, eta: 9:01:56, time: 0.197, data_time: 0.007, memory: 19921, decode.loss_ce: 0.2185, decode.acc_seg: 91.2625, loss: 0.2185 +2023-03-05 00:35:05,307 - mmseg - INFO - Iter [1400/160000] lr: 1.500e-04, eta: 9:01:16, time: 0.200, data_time: 0.007, memory: 19921, decode.loss_ce: 0.2261, decode.acc_seg: 90.8612, loss: 0.2261 +2023-03-05 00:35:15,242 - mmseg - INFO - Iter [1450/160000] lr: 1.500e-04, eta: 9:00:33, time: 0.199, data_time: 0.007, memory: 19921, decode.loss_ce: 0.2179, decode.acc_seg: 91.0672, loss: 0.2179 +2023-03-05 00:35:25,571 - mmseg - INFO - Iter [1500/160000] lr: 1.500e-04, eta: 9:00:33, time: 0.207, data_time: 0.007, memory: 19921, decode.loss_ce: 0.2262, decode.acc_seg: 90.7736, loss: 0.2262 +2023-03-05 00:35:35,240 - mmseg - INFO - Iter [1550/160000] lr: 1.500e-04, eta: 8:59:25, time: 0.193, data_time: 0.007, memory: 19921, decode.loss_ce: 0.2182, decode.acc_seg: 91.1401, loss: 0.2182 +2023-03-05 00:35:44,956 - mmseg - INFO - Iter [1600/160000] lr: 1.500e-04, eta: 8:58:26, time: 0.194, data_time: 0.007, memory: 19921, decode.loss_ce: 0.2177, decode.acc_seg: 91.1449, loss: 0.2177 +2023-03-05 00:35:54,607 - mmseg - INFO - Iter [1650/160000] lr: 1.500e-04, eta: 8:57:23, time: 0.193, data_time: 0.007, memory: 19921, decode.loss_ce: 0.2243, decode.acc_seg: 91.0169, loss: 0.2243 +2023-03-05 00:36:04,429 - mmseg - INFO - Iter [1700/160000] lr: 1.500e-04, eta: 8:56:39, time: 0.196, data_time: 0.007, memory: 19921, decode.loss_ce: 0.2145, decode.acc_seg: 91.1441, loss: 0.2145 +2023-03-05 00:36:14,006 - mmseg - INFO - Iter [1750/160000] lr: 1.500e-04, eta: 8:55:36, time: 0.192, data_time: 0.007, memory: 19921, decode.loss_ce: 0.2073, decode.acc_seg: 91.5659, loss: 0.2073 +2023-03-05 00:36:23,862 - mmseg - INFO - Iter [1800/160000] lr: 1.500e-04, eta: 8:54:58, time: 0.197, data_time: 0.007, memory: 19921, decode.loss_ce: 0.2137, decode.acc_seg: 91.1920, loss: 0.2137 +2023-03-05 00:36:33,845 - mmseg - INFO - Iter [1850/160000] lr: 1.500e-04, eta: 8:54:35, time: 0.200, data_time: 0.007, memory: 19921, decode.loss_ce: 0.2220, decode.acc_seg: 90.9517, loss: 0.2220 +2023-03-05 00:36:46,439 - mmseg - INFO - Iter [1900/160000] lr: 1.500e-04, eta: 8:57:49, time: 0.252, data_time: 0.055, memory: 19921, decode.loss_ce: 0.2096, decode.acc_seg: 91.3873, loss: 0.2096 +2023-03-05 00:36:56,109 - mmseg - INFO - Iter [1950/160000] lr: 1.500e-04, eta: 8:56:56, time: 0.193, data_time: 0.007, memory: 19921, decode.loss_ce: 0.2103, decode.acc_seg: 91.4069, loss: 0.2103 +2023-03-05 00:37:06,100 - mmseg - INFO - Exp name: ablation_segformer_mit_b2_segformer_head_unet_fc_small_multi_step_ade_pretrained_freeze_embed_160k_ade20k151_mask_finetune_maskreplace.py +2023-03-05 00:37:06,100 - mmseg - INFO - Iter [2000/160000] lr: 1.500e-04, eta: 8:56:30, time: 0.200, data_time: 0.007, memory: 19921, decode.loss_ce: 0.2176, decode.acc_seg: 91.1239, loss: 0.2176 +2023-03-05 00:37:15,699 - mmseg - INFO - Iter [2050/160000] lr: 1.500e-04, eta: 8:55:34, time: 0.192, data_time: 0.007, memory: 19921, decode.loss_ce: 0.2107, decode.acc_seg: 91.2354, loss: 0.2107 +2023-03-05 00:37:25,410 - mmseg - INFO - Iter [2100/160000] lr: 1.500e-04, eta: 8:54:49, time: 0.194, data_time: 0.007, memory: 19921, decode.loss_ce: 0.2189, decode.acc_seg: 91.1271, loss: 0.2189 +2023-03-05 00:37:34,921 - mmseg - INFO - Iter [2150/160000] lr: 1.500e-04, eta: 8:53:51, time: 0.190, data_time: 0.007, memory: 19921, decode.loss_ce: 0.2165, decode.acc_seg: 91.2653, loss: 0.2165 +2023-03-05 00:37:44,517 - mmseg - INFO - Iter [2200/160000] lr: 1.500e-04, eta: 8:53:02, time: 0.192, data_time: 0.007, memory: 19921, decode.loss_ce: 0.2131, decode.acc_seg: 91.3891, loss: 0.2131 +2023-03-05 00:37:54,444 - mmseg - INFO - Iter [2250/160000] lr: 1.500e-04, eta: 8:52:37, time: 0.199, data_time: 0.007, memory: 19921, decode.loss_ce: 0.2196, decode.acc_seg: 90.9815, loss: 0.2196 +2023-03-05 00:38:04,194 - mmseg - INFO - Iter [2300/160000] lr: 1.500e-04, eta: 8:52:01, time: 0.195, data_time: 0.007, memory: 19921, decode.loss_ce: 0.2228, decode.acc_seg: 90.9111, loss: 0.2228 +2023-03-05 00:38:13,865 - mmseg - INFO - Iter [2350/160000] lr: 1.500e-04, eta: 8:51:20, time: 0.193, data_time: 0.007, memory: 19921, decode.loss_ce: 0.2233, decode.acc_seg: 90.9203, loss: 0.2233 +2023-03-05 00:38:23,661 - mmseg - INFO - Iter [2400/160000] lr: 1.500e-04, eta: 8:50:50, time: 0.196, data_time: 0.007, memory: 19921, decode.loss_ce: 0.2211, decode.acc_seg: 91.0243, loss: 0.2211 +2023-03-05 00:38:33,522 - mmseg - INFO - Iter [2450/160000] lr: 1.500e-04, eta: 8:50:24, time: 0.197, data_time: 0.007, memory: 19921, decode.loss_ce: 0.2246, decode.acc_seg: 90.8440, loss: 0.2246 +2023-03-05 00:38:43,322 - mmseg - INFO - Iter [2500/160000] lr: 1.500e-04, eta: 8:49:54, time: 0.196, data_time: 0.007, memory: 19921, decode.loss_ce: 0.2167, decode.acc_seg: 91.3350, loss: 0.2167 +2023-03-05 00:38:55,829 - mmseg - INFO - Iter [2550/160000] lr: 1.500e-04, eta: 8:52:14, time: 0.250, data_time: 0.054, memory: 19921, decode.loss_ce: 0.2145, decode.acc_seg: 91.2714, loss: 0.2145 +2023-03-05 00:39:05,402 - mmseg - INFO - Iter [2600/160000] lr: 1.500e-04, eta: 8:51:29, time: 0.191, data_time: 0.007, memory: 19921, decode.loss_ce: 0.2236, decode.acc_seg: 90.7712, loss: 0.2236 +2023-03-05 00:39:14,986 - mmseg - INFO - Iter [2650/160000] lr: 1.500e-04, eta: 8:50:46, time: 0.191, data_time: 0.007, memory: 19921, decode.loss_ce: 0.2164, decode.acc_seg: 91.1202, loss: 0.2164 +2023-03-05 00:39:24,736 - mmseg - INFO - Iter [2700/160000] lr: 1.500e-04, eta: 8:50:15, time: 0.195, data_time: 0.007, memory: 19921, decode.loss_ce: 0.2254, decode.acc_seg: 90.7304, loss: 0.2254 +2023-03-05 00:39:34,404 - mmseg - INFO - Iter [2750/160000] lr: 1.500e-04, eta: 8:49:39, time: 0.193, data_time: 0.007, memory: 19921, decode.loss_ce: 0.2187, decode.acc_seg: 91.0956, loss: 0.2187 +2023-03-05 00:39:44,047 - mmseg - INFO - Iter [2800/160000] lr: 1.500e-04, eta: 8:49:03, time: 0.193, data_time: 0.007, memory: 19921, decode.loss_ce: 0.2135, decode.acc_seg: 91.2110, loss: 0.2135 +2023-03-05 00:39:53,682 - mmseg - INFO - Iter [2850/160000] lr: 1.500e-04, eta: 8:48:28, time: 0.193, data_time: 0.007, memory: 19921, decode.loss_ce: 0.2305, decode.acc_seg: 90.6649, loss: 0.2305 +2023-03-05 00:40:03,516 - mmseg - INFO - Iter [2900/160000] lr: 1.500e-04, eta: 8:48:04, time: 0.197, data_time: 0.007, memory: 19921, decode.loss_ce: 0.2170, decode.acc_seg: 91.2411, loss: 0.2170 +2023-03-05 00:40:13,568 - mmseg - INFO - Iter [2950/160000] lr: 1.500e-04, eta: 8:47:52, time: 0.201, data_time: 0.008, memory: 19921, decode.loss_ce: 0.2239, decode.acc_seg: 90.8039, loss: 0.2239 +2023-03-05 00:40:23,158 - mmseg - INFO - Exp name: ablation_segformer_mit_b2_segformer_head_unet_fc_small_multi_step_ade_pretrained_freeze_embed_160k_ade20k151_mask_finetune_maskreplace.py +2023-03-05 00:40:23,158 - mmseg - INFO - Iter [3000/160000] lr: 1.500e-04, eta: 8:47:16, time: 0.192, data_time: 0.007, memory: 19921, decode.loss_ce: 0.2191, decode.acc_seg: 91.0989, loss: 0.2191 +2023-03-05 00:40:32,849 - mmseg - INFO - Iter [3050/160000] lr: 1.500e-04, eta: 8:46:46, time: 0.194, data_time: 0.007, memory: 19921, decode.loss_ce: 0.2122, decode.acc_seg: 91.3065, loss: 0.2122 +2023-03-05 00:40:42,458 - mmseg - INFO - Iter [3100/160000] lr: 1.500e-04, eta: 8:46:13, time: 0.192, data_time: 0.007, memory: 19921, decode.loss_ce: 0.2221, decode.acc_seg: 90.8824, loss: 0.2221 +2023-03-05 00:40:51,965 - mmseg - INFO - Iter [3150/160000] lr: 1.500e-04, eta: 8:45:35, time: 0.190, data_time: 0.007, memory: 19921, decode.loss_ce: 0.2186, decode.acc_seg: 91.1648, loss: 0.2186 +2023-03-05 00:41:04,117 - mmseg - INFO - Iter [3200/160000] lr: 1.500e-04, eta: 8:47:08, time: 0.243, data_time: 0.056, memory: 19921, decode.loss_ce: 0.2186, decode.acc_seg: 91.1377, loss: 0.2186 +2023-03-05 00:41:13,702 - mmseg - INFO - Iter [3250/160000] lr: 1.500e-04, eta: 8:46:33, time: 0.191, data_time: 0.007, memory: 19921, decode.loss_ce: 0.2111, decode.acc_seg: 91.3756, loss: 0.2111 +2023-03-05 00:41:23,543 - mmseg - INFO - Iter [3300/160000] lr: 1.500e-04, eta: 8:46:12, time: 0.197, data_time: 0.007, memory: 19921, decode.loss_ce: 0.2131, decode.acc_seg: 91.2134, loss: 0.2131 +2023-03-05 00:41:33,101 - mmseg - INFO - Iter [3350/160000] lr: 1.500e-04, eta: 8:45:38, time: 0.191, data_time: 0.007, memory: 19921, decode.loss_ce: 0.2190, decode.acc_seg: 91.1224, loss: 0.2190 +2023-03-05 00:41:42,755 - mmseg - INFO - Iter [3400/160000] lr: 1.500e-04, eta: 8:45:09, time: 0.193, data_time: 0.007, memory: 19921, decode.loss_ce: 0.2204, decode.acc_seg: 90.9527, loss: 0.2204 +2023-03-05 00:41:52,299 - mmseg - INFO - Iter [3450/160000] lr: 1.500e-04, eta: 8:44:36, time: 0.191, data_time: 0.007, memory: 19921, decode.loss_ce: 0.2209, decode.acc_seg: 91.0835, loss: 0.2209 +2023-03-05 00:42:01,927 - mmseg - INFO - Iter [3500/160000] lr: 1.500e-04, eta: 8:44:06, time: 0.193, data_time: 0.007, memory: 19921, decode.loss_ce: 0.2089, decode.acc_seg: 91.4006, loss: 0.2089 +2023-03-05 00:42:11,881 - mmseg - INFO - Iter [3550/160000] lr: 1.500e-04, eta: 8:43:52, time: 0.199, data_time: 0.007, memory: 19921, decode.loss_ce: 0.2149, decode.acc_seg: 91.1943, loss: 0.2149 +2023-03-05 00:42:21,652 - mmseg - INFO - Iter [3600/160000] lr: 1.500e-04, eta: 8:43:30, time: 0.196, data_time: 0.007, memory: 19921, decode.loss_ce: 0.2279, decode.acc_seg: 90.8716, loss: 0.2279 +2023-03-05 00:42:31,173 - mmseg - INFO - Iter [3650/160000] lr: 1.500e-04, eta: 8:42:58, time: 0.190, data_time: 0.007, memory: 19921, decode.loss_ce: 0.2156, decode.acc_seg: 91.2327, loss: 0.2156 +2023-03-05 00:42:40,778 - mmseg - INFO - Iter [3700/160000] lr: 1.500e-04, eta: 8:42:30, time: 0.192, data_time: 0.007, memory: 19921, decode.loss_ce: 0.2252, decode.acc_seg: 90.9614, loss: 0.2252 +2023-03-05 00:42:50,557 - mmseg - INFO - Iter [3750/160000] lr: 1.500e-04, eta: 8:42:09, time: 0.196, data_time: 0.007, memory: 19921, decode.loss_ce: 0.2233, decode.acc_seg: 90.9200, loss: 0.2233 +2023-03-05 00:43:02,919 - mmseg - INFO - Iter [3800/160000] lr: 1.500e-04, eta: 8:43:35, time: 0.247, data_time: 0.052, memory: 19921, decode.loss_ce: 0.2111, decode.acc_seg: 91.4566, loss: 0.2111 +2023-03-05 00:43:12,735 - mmseg - INFO - Iter [3850/160000] lr: 1.500e-04, eta: 8:43:15, time: 0.196, data_time: 0.007, memory: 19921, decode.loss_ce: 0.2061, decode.acc_seg: 91.4249, loss: 0.2061 +2023-03-05 00:43:22,449 - mmseg - INFO - Iter [3900/160000] lr: 1.500e-04, eta: 8:42:52, time: 0.195, data_time: 0.007, memory: 19921, decode.loss_ce: 0.2183, decode.acc_seg: 91.0561, loss: 0.2183 +2023-03-05 00:43:32,268 - mmseg - INFO - Iter [3950/160000] lr: 1.500e-04, eta: 8:42:33, time: 0.196, data_time: 0.006, memory: 19921, decode.loss_ce: 0.2155, decode.acc_seg: 91.1566, loss: 0.2155 +2023-03-05 00:43:42,153 - mmseg - INFO - Exp name: ablation_segformer_mit_b2_segformer_head_unet_fc_small_multi_step_ade_pretrained_freeze_embed_160k_ade20k151_mask_finetune_maskreplace.py +2023-03-05 00:43:42,154 - mmseg - INFO - Iter [4000/160000] lr: 1.500e-04, eta: 8:42:16, time: 0.198, data_time: 0.007, memory: 19921, decode.loss_ce: 0.2190, decode.acc_seg: 91.1666, loss: 0.2190 +2023-03-05 00:43:51,768 - mmseg - INFO - Iter [4050/160000] lr: 1.500e-04, eta: 8:41:50, time: 0.192, data_time: 0.007, memory: 19921, decode.loss_ce: 0.2125, decode.acc_seg: 91.4203, loss: 0.2125 +2023-03-05 00:44:01,453 - mmseg - INFO - Iter [4100/160000] lr: 1.500e-04, eta: 8:41:26, time: 0.194, data_time: 0.007, memory: 19921, decode.loss_ce: 0.2101, decode.acc_seg: 91.3397, loss: 0.2101 +2023-03-05 00:44:11,570 - mmseg - INFO - Iter [4150/160000] lr: 1.500e-04, eta: 8:41:19, time: 0.202, data_time: 0.007, memory: 19921, decode.loss_ce: 0.2244, decode.acc_seg: 90.9439, loss: 0.2244 +2023-03-05 00:44:21,153 - mmseg - INFO - Iter [4200/160000] lr: 1.500e-04, eta: 8:40:53, time: 0.192, data_time: 0.007, memory: 19921, decode.loss_ce: 0.2218, decode.acc_seg: 90.8951, loss: 0.2218 +2023-03-05 00:44:31,124 - mmseg - INFO - Iter [4250/160000] lr: 1.500e-04, eta: 8:40:40, time: 0.199, data_time: 0.007, memory: 19921, decode.loss_ce: 0.2198, decode.acc_seg: 91.0438, loss: 0.2198 +2023-03-05 00:44:40,698 - mmseg - INFO - Iter [4300/160000] lr: 1.500e-04, eta: 8:40:14, time: 0.191, data_time: 0.007, memory: 19921, decode.loss_ce: 0.2246, decode.acc_seg: 91.0106, loss: 0.2246 +2023-03-05 00:44:50,582 - mmseg - INFO - Iter [4350/160000] lr: 1.500e-04, eta: 8:39:59, time: 0.198, data_time: 0.007, memory: 19921, decode.loss_ce: 0.2174, decode.acc_seg: 91.1738, loss: 0.2174 +2023-03-05 00:45:00,206 - mmseg - INFO - Iter [4400/160000] lr: 1.500e-04, eta: 8:39:35, time: 0.192, data_time: 0.007, memory: 19921, decode.loss_ce: 0.2236, decode.acc_seg: 90.9359, loss: 0.2236 +2023-03-05 00:45:12,516 - mmseg - INFO - Iter [4450/160000] lr: 1.500e-04, eta: 8:40:44, time: 0.246, data_time: 0.056, memory: 19921, decode.loss_ce: 0.2190, decode.acc_seg: 91.1600, loss: 0.2190 +2023-03-05 00:45:22,126 - mmseg - INFO - Iter [4500/160000] lr: 1.500e-04, eta: 8:40:20, time: 0.192, data_time: 0.007, memory: 19921, decode.loss_ce: 0.2148, decode.acc_seg: 91.2034, loss: 0.2148 +2023-03-05 00:45:31,703 - mmseg - INFO - Iter [4550/160000] lr: 1.500e-04, eta: 8:39:54, time: 0.192, data_time: 0.007, memory: 19921, decode.loss_ce: 0.2214, decode.acc_seg: 91.0330, loss: 0.2214 +2023-03-05 00:45:41,380 - mmseg - INFO - Iter [4600/160000] lr: 1.500e-04, eta: 8:39:32, time: 0.194, data_time: 0.007, memory: 19921, decode.loss_ce: 0.2263, decode.acc_seg: 90.8310, loss: 0.2263 +2023-03-05 00:45:51,107 - mmseg - INFO - Iter [4650/160000] lr: 1.500e-04, eta: 8:39:12, time: 0.195, data_time: 0.007, memory: 19921, decode.loss_ce: 0.2132, decode.acc_seg: 91.4728, loss: 0.2132 +2023-03-05 00:46:00,666 - mmseg - INFO - Iter [4700/160000] lr: 1.500e-04, eta: 8:38:46, time: 0.191, data_time: 0.007, memory: 19921, decode.loss_ce: 0.2164, decode.acc_seg: 91.0996, loss: 0.2164 +2023-03-05 00:46:10,455 - mmseg - INFO - Iter [4750/160000] lr: 1.500e-04, eta: 8:38:29, time: 0.196, data_time: 0.007, memory: 19921, decode.loss_ce: 0.2083, decode.acc_seg: 91.5242, loss: 0.2083 +2023-03-05 00:46:20,090 - mmseg - INFO - Iter [4800/160000] lr: 1.500e-04, eta: 8:38:06, time: 0.193, data_time: 0.007, memory: 19921, decode.loss_ce: 0.2346, decode.acc_seg: 90.6239, loss: 0.2346 +2023-03-05 00:46:29,705 - mmseg - INFO - Iter [4850/160000] lr: 1.500e-04, eta: 8:37:43, time: 0.192, data_time: 0.007, memory: 19921, decode.loss_ce: 0.2085, decode.acc_seg: 91.5242, loss: 0.2085 +2023-03-05 00:46:39,380 - mmseg - INFO - Iter [4900/160000] lr: 1.500e-04, eta: 8:37:23, time: 0.193, data_time: 0.007, memory: 19921, decode.loss_ce: 0.2248, decode.acc_seg: 91.0230, loss: 0.2248 +2023-03-05 00:46:49,067 - mmseg - INFO - Iter [4950/160000] lr: 1.500e-04, eta: 8:37:02, time: 0.193, data_time: 0.007, memory: 19921, decode.loss_ce: 0.2253, decode.acc_seg: 90.7558, loss: 0.2253 +2023-03-05 00:46:58,708 - mmseg - INFO - Exp name: ablation_segformer_mit_b2_segformer_head_unet_fc_small_multi_step_ade_pretrained_freeze_embed_160k_ade20k151_mask_finetune_maskreplace.py +2023-03-05 00:46:58,708 - mmseg - INFO - Iter [5000/160000] lr: 1.500e-04, eta: 8:36:41, time: 0.193, data_time: 0.007, memory: 19921, decode.loss_ce: 0.2148, decode.acc_seg: 91.2906, loss: 0.2148 +2023-03-05 00:47:11,184 - mmseg - INFO - Iter [5050/160000] lr: 1.500e-04, eta: 8:37:47, time: 0.249, data_time: 0.054, memory: 19921, decode.loss_ce: 0.2089, decode.acc_seg: 91.2808, loss: 0.2089 +2023-03-05 00:47:21,152 - mmseg - INFO - Iter [5100/160000] lr: 1.500e-04, eta: 8:37:36, time: 0.199, data_time: 0.007, memory: 19921, decode.loss_ce: 0.2298, decode.acc_seg: 90.8174, loss: 0.2298 +2023-03-05 00:47:30,758 - mmseg - INFO - Iter [5150/160000] lr: 1.500e-04, eta: 8:37:13, time: 0.192, data_time: 0.006, memory: 19921, decode.loss_ce: 0.2189, decode.acc_seg: 91.1897, loss: 0.2189 +2023-03-05 00:47:40,713 - mmseg - INFO - Iter [5200/160000] lr: 1.500e-04, eta: 8:37:01, time: 0.199, data_time: 0.008, memory: 19921, decode.loss_ce: 0.2118, decode.acc_seg: 91.4286, loss: 0.2118 +2023-03-05 00:47:50,310 - mmseg - INFO - Iter [5250/160000] lr: 1.500e-04, eta: 8:36:38, time: 0.192, data_time: 0.007, memory: 19921, decode.loss_ce: 0.2195, decode.acc_seg: 91.2022, loss: 0.2195 +2023-03-05 00:48:00,211 - mmseg - INFO - Iter [5300/160000] lr: 1.500e-04, eta: 8:36:25, time: 0.198, data_time: 0.007, memory: 19921, decode.loss_ce: 0.2233, decode.acc_seg: 90.9280, loss: 0.2233 +2023-03-05 00:48:10,057 - mmseg - INFO - Iter [5350/160000] lr: 1.500e-04, eta: 8:36:10, time: 0.197, data_time: 0.007, memory: 19921, decode.loss_ce: 0.2160, decode.acc_seg: 91.2528, loss: 0.2160 +2023-03-05 00:48:19,959 - mmseg - INFO - Iter [5400/160000] lr: 1.500e-04, eta: 8:35:57, time: 0.198, data_time: 0.007, memory: 19921, decode.loss_ce: 0.2211, decode.acc_seg: 90.9936, loss: 0.2211 +2023-03-05 00:48:29,740 - mmseg - INFO - Iter [5450/160000] lr: 1.500e-04, eta: 8:35:40, time: 0.196, data_time: 0.007, memory: 19921, decode.loss_ce: 0.2173, decode.acc_seg: 91.1629, loss: 0.2173 +2023-03-05 00:48:39,490 - mmseg - INFO - Iter [5500/160000] lr: 1.500e-04, eta: 8:35:23, time: 0.195, data_time: 0.007, memory: 19921, decode.loss_ce: 0.2202, decode.acc_seg: 91.0541, loss: 0.2202 +2023-03-05 00:48:49,120 - mmseg - INFO - Iter [5550/160000] lr: 1.500e-04, eta: 8:35:03, time: 0.193, data_time: 0.007, memory: 19921, decode.loss_ce: 0.2150, decode.acc_seg: 91.2250, loss: 0.2150 +2023-03-05 00:48:58,703 - mmseg - INFO - Iter [5600/160000] lr: 1.500e-04, eta: 8:34:41, time: 0.192, data_time: 0.007, memory: 19921, decode.loss_ce: 0.2081, decode.acc_seg: 91.5323, loss: 0.2081 +2023-03-05 00:49:08,449 - mmseg - INFO - Iter [5650/160000] lr: 1.500e-04, eta: 8:34:24, time: 0.195, data_time: 0.007, memory: 19921, decode.loss_ce: 0.2203, decode.acc_seg: 90.8562, loss: 0.2203 +2023-03-05 00:49:20,523 - mmseg - INFO - Iter [5700/160000] lr: 1.500e-04, eta: 8:35:10, time: 0.241, data_time: 0.055, memory: 19921, decode.loss_ce: 0.2114, decode.acc_seg: 91.4094, loss: 0.2114 +2023-03-05 00:49:30,187 - mmseg - INFO - Iter [5750/160000] lr: 1.500e-04, eta: 8:34:51, time: 0.193, data_time: 0.007, memory: 19921, decode.loss_ce: 0.2251, decode.acc_seg: 90.8983, loss: 0.2251 +2023-03-05 00:49:39,987 - mmseg - INFO - Iter [5800/160000] lr: 1.500e-04, eta: 8:34:35, time: 0.196, data_time: 0.007, memory: 19921, decode.loss_ce: 0.2121, decode.acc_seg: 91.3786, loss: 0.2121 +2023-03-05 00:49:49,602 - mmseg - INFO - Iter [5850/160000] lr: 1.500e-04, eta: 8:34:14, time: 0.192, data_time: 0.007, memory: 19921, decode.loss_ce: 0.2164, decode.acc_seg: 91.3067, loss: 0.2164 +2023-03-05 00:49:59,579 - mmseg - INFO - Iter [5900/160000] lr: 1.500e-04, eta: 8:34:04, time: 0.200, data_time: 0.007, memory: 19921, decode.loss_ce: 0.2061, decode.acc_seg: 91.4677, loss: 0.2061 +2023-03-05 00:50:09,229 - mmseg - INFO - Iter [5950/160000] lr: 1.500e-04, eta: 8:33:44, time: 0.193, data_time: 0.007, memory: 19921, decode.loss_ce: 0.2170, decode.acc_seg: 91.2503, loss: 0.2170 +2023-03-05 00:50:18,790 - mmseg - INFO - Exp name: ablation_segformer_mit_b2_segformer_head_unet_fc_small_multi_step_ade_pretrained_freeze_embed_160k_ade20k151_mask_finetune_maskreplace.py +2023-03-05 00:50:18,790 - mmseg - INFO - Iter [6000/160000] lr: 1.500e-04, eta: 8:33:23, time: 0.191, data_time: 0.007, memory: 19921, decode.loss_ce: 0.2102, decode.acc_seg: 91.3501, loss: 0.2102 +2023-03-05 00:50:28,335 - mmseg - INFO - Iter [6050/160000] lr: 1.500e-04, eta: 8:33:01, time: 0.191, data_time: 0.007, memory: 19921, decode.loss_ce: 0.2142, decode.acc_seg: 91.2971, loss: 0.2142 +2023-03-05 00:50:37,881 - mmseg - INFO - Iter [6100/160000] lr: 1.500e-04, eta: 8:32:40, time: 0.191, data_time: 0.007, memory: 19921, decode.loss_ce: 0.2175, decode.acc_seg: 91.3051, loss: 0.2175 +2023-03-05 00:50:47,835 - mmseg - INFO - Iter [6150/160000] lr: 1.500e-04, eta: 8:32:29, time: 0.199, data_time: 0.007, memory: 19921, decode.loss_ce: 0.2169, decode.acc_seg: 91.1763, loss: 0.2169 +2023-03-05 00:50:57,642 - mmseg - INFO - Iter [6200/160000] lr: 1.500e-04, eta: 8:32:14, time: 0.196, data_time: 0.007, memory: 19921, decode.loss_ce: 0.2133, decode.acc_seg: 91.2082, loss: 0.2133 +2023-03-05 00:51:07,134 - mmseg - INFO - Iter [6250/160000] lr: 1.500e-04, eta: 8:31:52, time: 0.190, data_time: 0.007, memory: 19921, decode.loss_ce: 0.2145, decode.acc_seg: 91.1729, loss: 0.2145 +2023-03-05 00:51:17,126 - mmseg - INFO - Iter [6300/160000] lr: 1.500e-04, eta: 8:31:42, time: 0.200, data_time: 0.007, memory: 19921, decode.loss_ce: 0.2107, decode.acc_seg: 91.4064, loss: 0.2107 +2023-03-05 00:51:29,489 - mmseg - INFO - Iter [6350/160000] lr: 1.500e-04, eta: 8:32:30, time: 0.247, data_time: 0.055, memory: 19921, decode.loss_ce: 0.2136, decode.acc_seg: 91.3594, loss: 0.2136 +2023-03-05 00:51:39,819 - mmseg - INFO - Iter [6400/160000] lr: 1.500e-04, eta: 8:32:27, time: 0.207, data_time: 0.006, memory: 19921, decode.loss_ce: 0.2144, decode.acc_seg: 91.2687, loss: 0.2144 +2023-03-05 00:51:49,424 - mmseg - INFO - Iter [6450/160000] lr: 1.500e-04, eta: 8:32:07, time: 0.192, data_time: 0.007, memory: 19921, decode.loss_ce: 0.2295, decode.acc_seg: 90.7899, loss: 0.2295 +2023-03-05 00:51:59,029 - mmseg - INFO - Iter [6500/160000] lr: 1.500e-04, eta: 8:31:48, time: 0.192, data_time: 0.007, memory: 19921, decode.loss_ce: 0.2223, decode.acc_seg: 91.0411, loss: 0.2223 +2023-03-05 00:52:08,582 - mmseg - INFO - Iter [6550/160000] lr: 1.500e-04, eta: 8:31:28, time: 0.191, data_time: 0.007, memory: 19921, decode.loss_ce: 0.2176, decode.acc_seg: 91.1548, loss: 0.2176 +2023-03-05 00:52:18,469 - mmseg - INFO - Iter [6600/160000] lr: 1.500e-04, eta: 8:31:15, time: 0.197, data_time: 0.007, memory: 19921, decode.loss_ce: 0.2171, decode.acc_seg: 91.1088, loss: 0.2171 +2023-03-05 00:52:28,610 - mmseg - INFO - Iter [6650/160000] lr: 1.500e-04, eta: 8:31:08, time: 0.203, data_time: 0.007, memory: 19921, decode.loss_ce: 0.2120, decode.acc_seg: 91.3588, loss: 0.2120 +2023-03-05 00:52:38,229 - mmseg - INFO - Iter [6700/160000] lr: 1.500e-04, eta: 8:30:50, time: 0.192, data_time: 0.007, memory: 19921, decode.loss_ce: 0.2100, decode.acc_seg: 91.4229, loss: 0.2100 +2023-03-05 00:52:47,734 - mmseg - INFO - Iter [6750/160000] lr: 1.500e-04, eta: 8:30:29, time: 0.190, data_time: 0.007, memory: 19921, decode.loss_ce: 0.2207, decode.acc_seg: 90.9788, loss: 0.2207 +2023-03-05 00:52:57,659 - mmseg - INFO - Iter [6800/160000] lr: 1.500e-04, eta: 8:30:17, time: 0.198, data_time: 0.007, memory: 19921, decode.loss_ce: 0.2158, decode.acc_seg: 91.0819, loss: 0.2158 +2023-03-05 00:53:07,378 - mmseg - INFO - Iter [6850/160000] lr: 1.500e-04, eta: 8:30:01, time: 0.194, data_time: 0.007, memory: 19921, decode.loss_ce: 0.2193, decode.acc_seg: 91.0719, loss: 0.2193 +2023-03-05 00:53:17,065 - mmseg - INFO - Iter [6900/160000] lr: 1.500e-04, eta: 8:29:44, time: 0.194, data_time: 0.007, memory: 19921, decode.loss_ce: 0.2118, decode.acc_seg: 91.2476, loss: 0.2118 +2023-03-05 00:53:29,210 - mmseg - INFO - Iter [6950/160000] lr: 1.500e-04, eta: 8:30:22, time: 0.243, data_time: 0.055, memory: 19921, decode.loss_ce: 0.2052, decode.acc_seg: 91.5987, loss: 0.2052 +2023-03-05 00:53:38,758 - mmseg - INFO - Exp name: ablation_segformer_mit_b2_segformer_head_unet_fc_small_multi_step_ade_pretrained_freeze_embed_160k_ade20k151_mask_finetune_maskreplace.py +2023-03-05 00:53:38,758 - mmseg - INFO - Iter [7000/160000] lr: 1.500e-04, eta: 8:30:02, time: 0.191, data_time: 0.007, memory: 19921, decode.loss_ce: 0.2278, decode.acc_seg: 90.7955, loss: 0.2278 +2023-03-05 00:53:48,289 - mmseg - INFO - Iter [7050/160000] lr: 1.500e-04, eta: 8:29:41, time: 0.191, data_time: 0.007, memory: 19921, decode.loss_ce: 0.2142, decode.acc_seg: 91.1475, loss: 0.2142 +2023-03-05 00:53:57,935 - mmseg - INFO - Iter [7100/160000] lr: 1.500e-04, eta: 8:29:24, time: 0.193, data_time: 0.007, memory: 19921, decode.loss_ce: 0.2215, decode.acc_seg: 91.2057, loss: 0.2215 +2023-03-05 00:54:07,449 - mmseg - INFO - Iter [7150/160000] lr: 1.500e-04, eta: 8:29:04, time: 0.190, data_time: 0.007, memory: 19921, decode.loss_ce: 0.2243, decode.acc_seg: 90.9045, loss: 0.2243 +2023-03-05 00:54:17,444 - mmseg - INFO - Iter [7200/160000] lr: 1.500e-04, eta: 8:28:54, time: 0.200, data_time: 0.007, memory: 19921, decode.loss_ce: 0.2207, decode.acc_seg: 91.0493, loss: 0.2207 +2023-03-05 00:54:27,058 - mmseg - INFO - Iter [7250/160000] lr: 1.500e-04, eta: 8:28:36, time: 0.192, data_time: 0.007, memory: 19921, decode.loss_ce: 0.2094, decode.acc_seg: 91.5325, loss: 0.2094 +2023-03-05 00:54:36,736 - mmseg - INFO - Iter [7300/160000] lr: 1.500e-04, eta: 8:28:19, time: 0.194, data_time: 0.007, memory: 19921, decode.loss_ce: 0.2075, decode.acc_seg: 91.5390, loss: 0.2075 +2023-03-05 00:54:46,647 - mmseg - INFO - Iter [7350/160000] lr: 1.500e-04, eta: 8:28:08, time: 0.198, data_time: 0.007, memory: 19921, decode.loss_ce: 0.2152, decode.acc_seg: 91.2333, loss: 0.2152 +2023-03-05 00:54:56,276 - mmseg - INFO - Iter [7400/160000] lr: 1.500e-04, eta: 8:27:50, time: 0.193, data_time: 0.007, memory: 19921, decode.loss_ce: 0.2152, decode.acc_seg: 91.1883, loss: 0.2152 +2023-03-05 00:55:05,874 - mmseg - INFO - Iter [7450/160000] lr: 1.500e-04, eta: 8:27:32, time: 0.192, data_time: 0.007, memory: 19921, decode.loss_ce: 0.2238, decode.acc_seg: 90.8974, loss: 0.2238 +2023-03-05 00:55:15,374 - mmseg - INFO - Iter [7500/160000] lr: 1.500e-04, eta: 8:27:13, time: 0.190, data_time: 0.007, memory: 19921, decode.loss_ce: 0.2207, decode.acc_seg: 90.9629, loss: 0.2207 +2023-03-05 00:55:24,864 - mmseg - INFO - Iter [7550/160000] lr: 1.500e-04, eta: 8:26:53, time: 0.190, data_time: 0.007, memory: 19921, decode.loss_ce: 0.2139, decode.acc_seg: 91.3691, loss: 0.2139 +2023-03-05 00:55:37,021 - mmseg - INFO - Iter [7600/160000] lr: 1.500e-04, eta: 8:27:27, time: 0.243, data_time: 0.056, memory: 19921, decode.loss_ce: 0.2148, decode.acc_seg: 91.3042, loss: 0.2148 +2023-03-05 00:55:46,680 - mmseg - INFO - Iter [7650/160000] lr: 1.500e-04, eta: 8:27:10, time: 0.193, data_time: 0.007, memory: 19921, decode.loss_ce: 0.2216, decode.acc_seg: 90.8945, loss: 0.2216 +2023-03-05 00:55:56,490 - mmseg - INFO - Iter [7700/160000] lr: 1.500e-04, eta: 8:26:57, time: 0.196, data_time: 0.007, memory: 19921, decode.loss_ce: 0.2195, decode.acc_seg: 91.0320, loss: 0.2195 +2023-03-05 00:56:06,202 - mmseg - INFO - Iter [7750/160000] lr: 1.500e-04, eta: 8:26:41, time: 0.194, data_time: 0.007, memory: 19921, decode.loss_ce: 0.2171, decode.acc_seg: 91.0873, loss: 0.2171 +2023-03-05 00:56:16,086 - mmseg - INFO - Iter [7800/160000] lr: 1.500e-04, eta: 8:26:29, time: 0.198, data_time: 0.007, memory: 19921, decode.loss_ce: 0.2070, decode.acc_seg: 91.5723, loss: 0.2070 +2023-03-05 00:56:25,810 - mmseg - INFO - Iter [7850/160000] lr: 1.500e-04, eta: 8:26:14, time: 0.194, data_time: 0.007, memory: 19921, decode.loss_ce: 0.2128, decode.acc_seg: 91.3336, loss: 0.2128 +2023-03-05 00:56:35,363 - mmseg - INFO - Iter [7900/160000] lr: 1.500e-04, eta: 8:25:56, time: 0.191, data_time: 0.006, memory: 19921, decode.loss_ce: 0.2099, decode.acc_seg: 91.4062, loss: 0.2099 +2023-03-05 00:56:45,227 - mmseg - INFO - Iter [7950/160000] lr: 1.500e-04, eta: 8:25:44, time: 0.197, data_time: 0.007, memory: 19921, decode.loss_ce: 0.2144, decode.acc_seg: 91.3326, loss: 0.2144 +2023-03-05 00:56:54,950 - mmseg - INFO - Exp name: ablation_segformer_mit_b2_segformer_head_unet_fc_small_multi_step_ade_pretrained_freeze_embed_160k_ade20k151_mask_finetune_maskreplace.py +2023-03-05 00:56:54,950 - mmseg - INFO - Iter [8000/160000] lr: 1.500e-04, eta: 8:25:29, time: 0.194, data_time: 0.006, memory: 19921, decode.loss_ce: 0.2208, decode.acc_seg: 91.0042, loss: 0.2208 +2023-03-05 00:57:04,686 - mmseg - INFO - Iter [8050/160000] lr: 1.500e-04, eta: 8:25:14, time: 0.194, data_time: 0.007, memory: 19921, decode.loss_ce: 0.2106, decode.acc_seg: 91.5654, loss: 0.2106 +2023-03-05 00:57:14,423 - mmseg - INFO - Iter [8100/160000] lr: 1.500e-04, eta: 8:25:00, time: 0.195, data_time: 0.007, memory: 19921, decode.loss_ce: 0.2119, decode.acc_seg: 91.3882, loss: 0.2119 +2023-03-05 00:57:24,098 - mmseg - INFO - Iter [8150/160000] lr: 1.500e-04, eta: 8:24:44, time: 0.194, data_time: 0.007, memory: 19921, decode.loss_ce: 0.2183, decode.acc_seg: 90.9898, loss: 0.2183 +2023-03-05 00:57:33,684 - mmseg - INFO - Iter [8200/160000] lr: 1.500e-04, eta: 8:24:27, time: 0.192, data_time: 0.007, memory: 19921, decode.loss_ce: 0.2114, decode.acc_seg: 91.4997, loss: 0.2114 +2023-03-05 00:57:45,881 - mmseg - INFO - Iter [8250/160000] lr: 1.500e-04, eta: 8:24:58, time: 0.244, data_time: 0.055, memory: 19921, decode.loss_ce: 0.2075, decode.acc_seg: 91.6260, loss: 0.2075 +2023-03-05 00:57:55,432 - mmseg - INFO - Iter [8300/160000] lr: 1.500e-04, eta: 8:24:40, time: 0.191, data_time: 0.007, memory: 19921, decode.loss_ce: 0.2138, decode.acc_seg: 91.1522, loss: 0.2138 +2023-03-05 00:58:05,263 - mmseg - INFO - Iter [8350/160000] lr: 1.500e-04, eta: 8:24:28, time: 0.197, data_time: 0.007, memory: 19921, decode.loss_ce: 0.2110, decode.acc_seg: 91.4852, loss: 0.2110 +2023-03-05 00:58:15,111 - mmseg - INFO - Iter [8400/160000] lr: 1.500e-04, eta: 8:24:15, time: 0.197, data_time: 0.007, memory: 19921, decode.loss_ce: 0.2133, decode.acc_seg: 91.2006, loss: 0.2133 +2023-03-05 00:58:25,039 - mmseg - INFO - Iter [8450/160000] lr: 1.500e-04, eta: 8:24:04, time: 0.199, data_time: 0.007, memory: 19921, decode.loss_ce: 0.2055, decode.acc_seg: 91.5695, loss: 0.2055 +2023-03-05 00:58:34,565 - mmseg - INFO - Iter [8500/160000] lr: 1.500e-04, eta: 8:23:46, time: 0.191, data_time: 0.007, memory: 19921, decode.loss_ce: 0.2082, decode.acc_seg: 91.2998, loss: 0.2082 +2023-03-05 00:58:44,201 - mmseg - INFO - Iter [8550/160000] lr: 1.500e-04, eta: 8:23:30, time: 0.192, data_time: 0.007, memory: 19921, decode.loss_ce: 0.2292, decode.acc_seg: 90.7881, loss: 0.2292 +2023-03-05 00:58:53,999 - mmseg - INFO - Iter [8600/160000] lr: 1.500e-04, eta: 8:23:17, time: 0.196, data_time: 0.007, memory: 19921, decode.loss_ce: 0.2123, decode.acc_seg: 91.2572, loss: 0.2123 +2023-03-05 00:59:03,783 - mmseg - INFO - Iter [8650/160000] lr: 1.500e-04, eta: 8:23:04, time: 0.196, data_time: 0.007, memory: 19921, decode.loss_ce: 0.2191, decode.acc_seg: 90.9844, loss: 0.2191 +2023-03-05 00:59:13,357 - mmseg - INFO - Iter [8700/160000] lr: 1.500e-04, eta: 8:22:47, time: 0.191, data_time: 0.007, memory: 19921, decode.loss_ce: 0.2136, decode.acc_seg: 91.3184, loss: 0.2136 +2023-03-05 00:59:22,899 - mmseg - INFO - Iter [8750/160000] lr: 1.500e-04, eta: 8:22:30, time: 0.191, data_time: 0.007, memory: 19921, decode.loss_ce: 0.2285, decode.acc_seg: 90.7054, loss: 0.2285 +2023-03-05 00:59:32,581 - mmseg - INFO - Iter [8800/160000] lr: 1.500e-04, eta: 8:22:15, time: 0.194, data_time: 0.007, memory: 19921, decode.loss_ce: 0.2166, decode.acc_seg: 91.3569, loss: 0.2166 +2023-03-05 00:59:44,811 - mmseg - INFO - Iter [8850/160000] lr: 1.500e-04, eta: 8:22:44, time: 0.245, data_time: 0.057, memory: 19921, decode.loss_ce: 0.2170, decode.acc_seg: 91.0724, loss: 0.2170 +2023-03-05 00:59:54,568 - mmseg - INFO - Iter [8900/160000] lr: 1.500e-04, eta: 8:22:30, time: 0.195, data_time: 0.007, memory: 19921, decode.loss_ce: 0.2145, decode.acc_seg: 91.2383, loss: 0.2145 +2023-03-05 01:00:04,225 - mmseg - INFO - Iter [8950/160000] lr: 1.500e-04, eta: 8:22:14, time: 0.193, data_time: 0.007, memory: 19921, decode.loss_ce: 0.2172, decode.acc_seg: 91.1197, loss: 0.2172 +2023-03-05 01:00:13,730 - mmseg - INFO - Exp name: ablation_segformer_mit_b2_segformer_head_unet_fc_small_multi_step_ade_pretrained_freeze_embed_160k_ade20k151_mask_finetune_maskreplace.py +2023-03-05 01:00:13,730 - mmseg - INFO - Iter [9000/160000] lr: 1.500e-04, eta: 8:21:57, time: 0.190, data_time: 0.007, memory: 19921, decode.loss_ce: 0.2165, decode.acc_seg: 91.1518, loss: 0.2165 +2023-03-05 01:00:23,493 - mmseg - INFO - Iter [9050/160000] lr: 1.500e-04, eta: 8:21:43, time: 0.195, data_time: 0.007, memory: 19921, decode.loss_ce: 0.2158, decode.acc_seg: 91.1612, loss: 0.2158 +2023-03-05 01:00:33,042 - mmseg - INFO - Iter [9100/160000] lr: 1.500e-04, eta: 8:21:26, time: 0.191, data_time: 0.007, memory: 19921, decode.loss_ce: 0.2164, decode.acc_seg: 91.2252, loss: 0.2164 +2023-03-05 01:00:42,718 - mmseg - INFO - Iter [9150/160000] lr: 1.500e-04, eta: 8:21:11, time: 0.194, data_time: 0.007, memory: 19921, decode.loss_ce: 0.2187, decode.acc_seg: 91.1621, loss: 0.2187 +2023-03-05 01:00:52,298 - mmseg - INFO - Iter [9200/160000] lr: 1.500e-04, eta: 8:20:55, time: 0.192, data_time: 0.007, memory: 19921, decode.loss_ce: 0.2239, decode.acc_seg: 90.9022, loss: 0.2239 +2023-03-05 01:01:02,007 - mmseg - INFO - Iter [9250/160000] lr: 1.500e-04, eta: 8:20:41, time: 0.194, data_time: 0.007, memory: 19921, decode.loss_ce: 0.2206, decode.acc_seg: 91.3222, loss: 0.2206 +2023-03-05 01:01:11,671 - mmseg - INFO - Iter [9300/160000] lr: 1.500e-04, eta: 8:20:26, time: 0.193, data_time: 0.007, memory: 19921, decode.loss_ce: 0.2153, decode.acc_seg: 91.2022, loss: 0.2153 +2023-03-05 01:01:21,367 - mmseg - INFO - Iter [9350/160000] lr: 1.500e-04, eta: 8:20:12, time: 0.194, data_time: 0.007, memory: 19921, decode.loss_ce: 0.2072, decode.acc_seg: 91.5895, loss: 0.2072 +2023-03-05 01:01:31,133 - mmseg - INFO - Iter [9400/160000] lr: 1.500e-04, eta: 8:19:59, time: 0.195, data_time: 0.007, memory: 19921, decode.loss_ce: 0.2200, decode.acc_seg: 91.0537, loss: 0.2200 +2023-03-05 01:01:41,136 - mmseg - INFO - Iter [9450/160000] lr: 1.500e-04, eta: 8:19:49, time: 0.200, data_time: 0.007, memory: 19921, decode.loss_ce: 0.2169, decode.acc_seg: 91.0383, loss: 0.2169 +2023-03-05 01:01:53,194 - mmseg - INFO - Iter [9500/160000] lr: 1.500e-04, eta: 8:20:13, time: 0.241, data_time: 0.055, memory: 19921, decode.loss_ce: 0.2050, decode.acc_seg: 91.6730, loss: 0.2050 +2023-03-05 01:02:02,805 - mmseg - INFO - Iter [9550/160000] lr: 1.500e-04, eta: 8:19:57, time: 0.192, data_time: 0.007, memory: 19921, decode.loss_ce: 0.2095, decode.acc_seg: 91.4782, loss: 0.2095 +2023-03-05 01:02:12,462 - mmseg - INFO - Iter [9600/160000] lr: 1.500e-04, eta: 8:19:42, time: 0.193, data_time: 0.007, memory: 19921, decode.loss_ce: 0.2196, decode.acc_seg: 91.2019, loss: 0.2196 +2023-03-05 01:02:22,254 - mmseg - INFO - Iter [9650/160000] lr: 1.500e-04, eta: 8:19:29, time: 0.196, data_time: 0.007, memory: 19921, decode.loss_ce: 0.2044, decode.acc_seg: 91.6329, loss: 0.2044 +2023-03-05 01:02:31,848 - mmseg - INFO - Iter [9700/160000] lr: 1.500e-04, eta: 8:19:14, time: 0.192, data_time: 0.007, memory: 19921, decode.loss_ce: 0.2171, decode.acc_seg: 91.2366, loss: 0.2171 +2023-03-05 01:02:41,517 - mmseg - INFO - Iter [9750/160000] lr: 1.500e-04, eta: 8:18:59, time: 0.193, data_time: 0.007, memory: 19921, decode.loss_ce: 0.2228, decode.acc_seg: 91.0579, loss: 0.2228 +2023-03-05 01:02:51,046 - mmseg - INFO - Iter [9800/160000] lr: 1.500e-04, eta: 8:18:43, time: 0.191, data_time: 0.007, memory: 19921, decode.loss_ce: 0.2155, decode.acc_seg: 91.3218, loss: 0.2155 +2023-03-05 01:03:00,592 - mmseg - INFO - Iter [9850/160000] lr: 1.500e-04, eta: 8:18:26, time: 0.191, data_time: 0.007, memory: 19921, decode.loss_ce: 0.2198, decode.acc_seg: 90.9079, loss: 0.2198 +2023-03-05 01:03:10,271 - mmseg - INFO - Iter [9900/160000] lr: 1.500e-04, eta: 8:18:12, time: 0.194, data_time: 0.007, memory: 19921, decode.loss_ce: 0.2071, decode.acc_seg: 91.6356, loss: 0.2071 +2023-03-05 01:03:19,824 - mmseg - INFO - Iter [9950/160000] lr: 1.500e-04, eta: 8:17:56, time: 0.191, data_time: 0.007, memory: 19921, decode.loss_ce: 0.2027, decode.acc_seg: 91.5554, loss: 0.2027 +2023-03-05 01:03:29,410 - mmseg - INFO - Exp name: ablation_segformer_mit_b2_segformer_head_unet_fc_small_multi_step_ade_pretrained_freeze_embed_160k_ade20k151_mask_finetune_maskreplace.py +2023-03-05 01:03:29,410 - mmseg - INFO - Iter [10000/160000] lr: 1.500e-04, eta: 8:17:41, time: 0.192, data_time: 0.007, memory: 19921, decode.loss_ce: 0.2082, decode.acc_seg: 91.5019, loss: 0.2082 +2023-03-05 01:03:38,909 - mmseg - INFO - Iter [10050/160000] lr: 1.500e-04, eta: 8:17:24, time: 0.190, data_time: 0.007, memory: 19921, decode.loss_ce: 0.2135, decode.acc_seg: 91.2703, loss: 0.2135 +2023-03-05 01:03:50,868 - mmseg - INFO - Iter [10100/160000] lr: 1.500e-04, eta: 8:17:44, time: 0.239, data_time: 0.055, memory: 19921, decode.loss_ce: 0.2154, decode.acc_seg: 91.2249, loss: 0.2154 +2023-03-05 01:04:00,709 - mmseg - INFO - Iter [10150/160000] lr: 1.500e-04, eta: 8:17:32, time: 0.197, data_time: 0.006, memory: 19921, decode.loss_ce: 0.2056, decode.acc_seg: 91.6173, loss: 0.2056 +2023-03-05 01:04:10,725 - mmseg - INFO - Iter [10200/160000] lr: 1.500e-04, eta: 8:17:23, time: 0.201, data_time: 0.007, memory: 19921, decode.loss_ce: 0.2163, decode.acc_seg: 91.2186, loss: 0.2163 +2023-03-05 01:04:20,345 - mmseg - INFO - Iter [10250/160000] lr: 1.500e-04, eta: 8:17:08, time: 0.192, data_time: 0.007, memory: 19921, decode.loss_ce: 0.2192, decode.acc_seg: 91.1756, loss: 0.2192 +2023-03-05 01:04:29,886 - mmseg - INFO - Iter [10300/160000] lr: 1.500e-04, eta: 8:16:52, time: 0.191, data_time: 0.007, memory: 19921, decode.loss_ce: 0.2225, decode.acc_seg: 90.9009, loss: 0.2225 +2023-03-05 01:04:39,430 - mmseg - INFO - Iter [10350/160000] lr: 1.500e-04, eta: 8:16:36, time: 0.191, data_time: 0.007, memory: 19921, decode.loss_ce: 0.2137, decode.acc_seg: 91.1522, loss: 0.2137 +2023-03-05 01:04:49,085 - mmseg - INFO - Iter [10400/160000] lr: 1.500e-04, eta: 8:16:22, time: 0.193, data_time: 0.007, memory: 19921, decode.loss_ce: 0.2176, decode.acc_seg: 91.0510, loss: 0.2176 +2023-03-05 01:04:58,634 - mmseg - INFO - Iter [10450/160000] lr: 1.500e-04, eta: 8:16:06, time: 0.191, data_time: 0.007, memory: 19921, decode.loss_ce: 0.2120, decode.acc_seg: 91.4830, loss: 0.2120 +2023-03-05 01:05:08,421 - mmseg - INFO - Iter [10500/160000] lr: 1.500e-04, eta: 8:15:53, time: 0.196, data_time: 0.007, memory: 19921, decode.loss_ce: 0.2047, decode.acc_seg: 91.6386, loss: 0.2047 +2023-03-05 01:05:18,032 - mmseg - INFO - Iter [10550/160000] lr: 1.500e-04, eta: 8:15:39, time: 0.192, data_time: 0.007, memory: 19921, decode.loss_ce: 0.2130, decode.acc_seg: 91.4755, loss: 0.2130 +2023-03-05 01:05:27,624 - mmseg - INFO - Iter [10600/160000] lr: 1.500e-04, eta: 8:15:24, time: 0.192, data_time: 0.007, memory: 19921, decode.loss_ce: 0.2077, decode.acc_seg: 91.4402, loss: 0.2077 +2023-03-05 01:05:37,173 - mmseg - INFO - Iter [10650/160000] lr: 1.500e-04, eta: 8:15:08, time: 0.191, data_time: 0.007, memory: 19921, decode.loss_ce: 0.2193, decode.acc_seg: 91.0591, loss: 0.2193 +2023-03-05 01:05:46,688 - mmseg - INFO - Iter [10700/160000] lr: 1.500e-04, eta: 8:14:52, time: 0.190, data_time: 0.007, memory: 19921, decode.loss_ce: 0.2144, decode.acc_seg: 91.1493, loss: 0.2144 +2023-03-05 01:05:58,868 - mmseg - INFO - Iter [10750/160000] lr: 1.500e-04, eta: 8:15:13, time: 0.244, data_time: 0.055, memory: 19921, decode.loss_ce: 0.2155, decode.acc_seg: 91.1999, loss: 0.2155 +2023-03-05 01:06:08,441 - mmseg - INFO - Iter [10800/160000] lr: 1.500e-04, eta: 8:14:58, time: 0.191, data_time: 0.007, memory: 19921, decode.loss_ce: 0.2070, decode.acc_seg: 91.5525, loss: 0.2070 +2023-03-05 01:06:18,233 - mmseg - INFO - Iter [10850/160000] lr: 1.500e-04, eta: 8:14:46, time: 0.196, data_time: 0.007, memory: 19921, decode.loss_ce: 0.1988, decode.acc_seg: 91.7382, loss: 0.1988 +2023-03-05 01:06:27,937 - mmseg - INFO - Iter [10900/160000] lr: 1.500e-04, eta: 8:14:33, time: 0.194, data_time: 0.007, memory: 19921, decode.loss_ce: 0.2134, decode.acc_seg: 91.1586, loss: 0.2134 +2023-03-05 01:06:37,801 - mmseg - INFO - Iter [10950/160000] lr: 1.500e-04, eta: 8:14:21, time: 0.197, data_time: 0.007, memory: 19921, decode.loss_ce: 0.2168, decode.acc_seg: 91.2318, loss: 0.2168 +2023-03-05 01:06:47,837 - mmseg - INFO - Exp name: ablation_segformer_mit_b2_segformer_head_unet_fc_small_multi_step_ade_pretrained_freeze_embed_160k_ade20k151_mask_finetune_maskreplace.py +2023-03-05 01:06:47,838 - mmseg - INFO - Iter [11000/160000] lr: 1.500e-04, eta: 8:14:12, time: 0.200, data_time: 0.007, memory: 19921, decode.loss_ce: 0.2078, decode.acc_seg: 91.5331, loss: 0.2078 +2023-03-05 01:06:57,798 - mmseg - INFO - Iter [11050/160000] lr: 1.500e-04, eta: 8:14:03, time: 0.199, data_time: 0.007, memory: 19921, decode.loss_ce: 0.2099, decode.acc_seg: 91.3839, loss: 0.2099 +2023-03-05 01:07:07,334 - mmseg - INFO - Iter [11100/160000] lr: 1.500e-04, eta: 8:13:47, time: 0.191, data_time: 0.007, memory: 19921, decode.loss_ce: 0.2164, decode.acc_seg: 91.2769, loss: 0.2164 +2023-03-05 01:07:17,347 - mmseg - INFO - Iter [11150/160000] lr: 1.500e-04, eta: 8:13:38, time: 0.200, data_time: 0.007, memory: 19921, decode.loss_ce: 0.2119, decode.acc_seg: 91.2199, loss: 0.2119 +2023-03-05 01:07:26,999 - mmseg - INFO - Iter [11200/160000] lr: 1.500e-04, eta: 8:13:24, time: 0.193, data_time: 0.007, memory: 19921, decode.loss_ce: 0.2139, decode.acc_seg: 91.4332, loss: 0.2139 +2023-03-05 01:07:36,704 - mmseg - INFO - Iter [11250/160000] lr: 1.500e-04, eta: 8:13:11, time: 0.194, data_time: 0.007, memory: 19921, decode.loss_ce: 0.2205, decode.acc_seg: 91.0038, loss: 0.2205 +2023-03-05 01:07:46,367 - mmseg - INFO - Iter [11300/160000] lr: 1.500e-04, eta: 8:12:57, time: 0.193, data_time: 0.007, memory: 19921, decode.loss_ce: 0.2118, decode.acc_seg: 91.3203, loss: 0.2118 +2023-03-05 01:07:55,901 - mmseg - INFO - Iter [11350/160000] lr: 1.500e-04, eta: 8:12:42, time: 0.191, data_time: 0.007, memory: 19921, decode.loss_ce: 0.2169, decode.acc_seg: 91.1326, loss: 0.2169 +2023-03-05 01:08:08,140 - mmseg - INFO - Iter [11400/160000] lr: 1.500e-04, eta: 8:13:02, time: 0.245, data_time: 0.056, memory: 19921, decode.loss_ce: 0.2087, decode.acc_seg: 91.3684, loss: 0.2087 +2023-03-05 01:08:17,648 - mmseg - INFO - Iter [11450/160000] lr: 1.500e-04, eta: 8:12:46, time: 0.190, data_time: 0.007, memory: 19921, decode.loss_ce: 0.2112, decode.acc_seg: 91.3552, loss: 0.2112 +2023-03-05 01:08:27,186 - mmseg - INFO - Iter [11500/160000] lr: 1.500e-04, eta: 8:12:31, time: 0.190, data_time: 0.007, memory: 19921, decode.loss_ce: 0.2141, decode.acc_seg: 91.1981, loss: 0.2141 +2023-03-05 01:08:36,833 - mmseg - INFO - Iter [11550/160000] lr: 1.500e-04, eta: 8:12:17, time: 0.193, data_time: 0.007, memory: 19921, decode.loss_ce: 0.2128, decode.acc_seg: 91.2768, loss: 0.2128 +2023-03-05 01:08:46,706 - mmseg - INFO - Iter [11600/160000] lr: 1.500e-04, eta: 8:12:06, time: 0.197, data_time: 0.007, memory: 19921, decode.loss_ce: 0.2090, decode.acc_seg: 91.4129, loss: 0.2090 +2023-03-05 01:08:56,647 - mmseg - INFO - Iter [11650/160000] lr: 1.500e-04, eta: 8:11:56, time: 0.199, data_time: 0.007, memory: 19921, decode.loss_ce: 0.2115, decode.acc_seg: 91.2316, loss: 0.2115 +2023-03-05 01:09:06,571 - mmseg - INFO - Iter [11700/160000] lr: 1.500e-04, eta: 8:11:46, time: 0.198, data_time: 0.007, memory: 19921, decode.loss_ce: 0.2172, decode.acc_seg: 91.1763, loss: 0.2172 +2023-03-05 01:09:16,203 - mmseg - INFO - Iter [11750/160000] lr: 1.500e-04, eta: 8:11:32, time: 0.193, data_time: 0.007, memory: 19921, decode.loss_ce: 0.2165, decode.acc_seg: 91.1731, loss: 0.2165 +2023-03-05 01:09:25,700 - mmseg - INFO - Iter [11800/160000] lr: 1.500e-04, eta: 8:11:16, time: 0.190, data_time: 0.007, memory: 19921, decode.loss_ce: 0.2201, decode.acc_seg: 91.0162, loss: 0.2201 +2023-03-05 01:09:35,301 - mmseg - INFO - Iter [11850/160000] lr: 1.500e-04, eta: 8:11:02, time: 0.192, data_time: 0.007, memory: 19921, decode.loss_ce: 0.2131, decode.acc_seg: 91.3601, loss: 0.2131 +2023-03-05 01:09:45,174 - mmseg - INFO - Iter [11900/160000] lr: 1.500e-04, eta: 8:10:51, time: 0.197, data_time: 0.007, memory: 19921, decode.loss_ce: 0.2021, decode.acc_seg: 91.8369, loss: 0.2021 +2023-03-05 01:09:55,094 - mmseg - INFO - Iter [11950/160000] lr: 1.500e-04, eta: 8:10:41, time: 0.198, data_time: 0.007, memory: 19921, decode.loss_ce: 0.2093, decode.acc_seg: 91.4514, loss: 0.2093 +2023-03-05 01:10:07,817 - mmseg - INFO - Exp name: ablation_segformer_mit_b2_segformer_head_unet_fc_small_multi_step_ade_pretrained_freeze_embed_160k_ade20k151_mask_finetune_maskreplace.py +2023-03-05 01:10:07,817 - mmseg - INFO - Iter [12000/160000] lr: 1.500e-04, eta: 8:11:05, time: 0.254, data_time: 0.057, memory: 19921, decode.loss_ce: 0.2199, decode.acc_seg: 91.0834, loss: 0.2199 +2023-03-05 01:10:17,481 - mmseg - INFO - Iter [12050/160000] lr: 1.500e-04, eta: 8:10:52, time: 0.193, data_time: 0.007, memory: 19921, decode.loss_ce: 0.2160, decode.acc_seg: 91.3117, loss: 0.2160 +2023-03-05 01:10:27,071 - mmseg - INFO - Iter [12100/160000] lr: 1.500e-04, eta: 8:10:38, time: 0.192, data_time: 0.007, memory: 19921, decode.loss_ce: 0.2112, decode.acc_seg: 91.2995, loss: 0.2112 +2023-03-05 01:10:36,790 - mmseg - INFO - Iter [12150/160000] lr: 1.500e-04, eta: 8:10:25, time: 0.194, data_time: 0.007, memory: 19921, decode.loss_ce: 0.2202, decode.acc_seg: 91.0796, loss: 0.2202 +2023-03-05 01:10:46,357 - mmseg - INFO - Iter [12200/160000] lr: 1.500e-04, eta: 8:10:10, time: 0.191, data_time: 0.007, memory: 19921, decode.loss_ce: 0.2214, decode.acc_seg: 91.0760, loss: 0.2214 +2023-03-05 01:10:55,847 - mmseg - INFO - Iter [12250/160000] lr: 1.500e-04, eta: 8:09:55, time: 0.190, data_time: 0.007, memory: 19921, decode.loss_ce: 0.2102, decode.acc_seg: 91.4404, loss: 0.2102 +2023-03-05 01:11:05,407 - mmseg - INFO - Iter [12300/160000] lr: 1.500e-04, eta: 8:09:40, time: 0.191, data_time: 0.007, memory: 19921, decode.loss_ce: 0.2100, decode.acc_seg: 91.3320, loss: 0.2100 +2023-03-05 01:11:15,132 - mmseg - INFO - Iter [12350/160000] lr: 1.500e-04, eta: 8:09:27, time: 0.194, data_time: 0.007, memory: 19921, decode.loss_ce: 0.2148, decode.acc_seg: 91.3827, loss: 0.2148 +2023-03-05 01:11:24,814 - mmseg - INFO - Iter [12400/160000] lr: 1.500e-04, eta: 8:09:14, time: 0.194, data_time: 0.007, memory: 19921, decode.loss_ce: 0.2093, decode.acc_seg: 91.4331, loss: 0.2093 +2023-03-05 01:11:34,518 - mmseg - INFO - Iter [12450/160000] lr: 1.500e-04, eta: 8:09:02, time: 0.194, data_time: 0.007, memory: 19921, decode.loss_ce: 0.2189, decode.acc_seg: 91.0832, loss: 0.2189 +2023-03-05 01:11:44,116 - mmseg - INFO - Iter [12500/160000] lr: 1.500e-04, eta: 8:08:48, time: 0.192, data_time: 0.007, memory: 19921, decode.loss_ce: 0.2162, decode.acc_seg: 91.0102, loss: 0.2162 +2023-03-05 01:11:53,800 - mmseg - INFO - Iter [12550/160000] lr: 1.500e-04, eta: 8:08:35, time: 0.194, data_time: 0.007, memory: 19921, decode.loss_ce: 0.2145, decode.acc_seg: 91.3245, loss: 0.2145 +2023-03-05 01:12:04,017 - mmseg - INFO - Iter [12600/160000] lr: 1.500e-04, eta: 8:08:28, time: 0.204, data_time: 0.008, memory: 19921, decode.loss_ce: 0.2067, decode.acc_seg: 91.6568, loss: 0.2067 +2023-03-05 01:12:16,236 - mmseg - INFO - Iter [12650/160000] lr: 1.500e-04, eta: 8:08:44, time: 0.244, data_time: 0.054, memory: 19921, decode.loss_ce: 0.2056, decode.acc_seg: 91.5580, loss: 0.2056 +2023-03-05 01:12:26,494 - mmseg - INFO - Iter [12700/160000] lr: 1.500e-04, eta: 8:08:38, time: 0.205, data_time: 0.006, memory: 19921, decode.loss_ce: 0.2047, decode.acc_seg: 91.6389, loss: 0.2047 +2023-03-05 01:12:36,214 - mmseg - INFO - Iter [12750/160000] lr: 1.500e-04, eta: 8:08:25, time: 0.195, data_time: 0.007, memory: 19921, decode.loss_ce: 0.2134, decode.acc_seg: 91.2139, loss: 0.2134 +2023-03-05 01:12:45,832 - mmseg - INFO - Iter [12800/160000] lr: 1.500e-04, eta: 8:08:12, time: 0.192, data_time: 0.007, memory: 19921, decode.loss_ce: 0.2148, decode.acc_seg: 91.1960, loss: 0.2148 +2023-03-05 01:12:55,321 - mmseg - INFO - Iter [12850/160000] lr: 1.500e-04, eta: 8:07:56, time: 0.190, data_time: 0.007, memory: 19921, decode.loss_ce: 0.2297, decode.acc_seg: 90.5577, loss: 0.2297 +2023-03-05 01:13:05,117 - mmseg - INFO - Iter [12900/160000] lr: 1.500e-04, eta: 8:07:45, time: 0.196, data_time: 0.007, memory: 19921, decode.loss_ce: 0.2131, decode.acc_seg: 91.2494, loss: 0.2131 +2023-03-05 01:13:14,841 - mmseg - INFO - Iter [12950/160000] lr: 1.500e-04, eta: 8:07:32, time: 0.194, data_time: 0.007, memory: 19921, decode.loss_ce: 0.2066, decode.acc_seg: 91.6236, loss: 0.2066 +2023-03-05 01:13:24,376 - mmseg - INFO - Exp name: ablation_segformer_mit_b2_segformer_head_unet_fc_small_multi_step_ade_pretrained_freeze_embed_160k_ade20k151_mask_finetune_maskreplace.py +2023-03-05 01:13:24,376 - mmseg - INFO - Iter [13000/160000] lr: 1.500e-04, eta: 8:07:18, time: 0.191, data_time: 0.007, memory: 19921, decode.loss_ce: 0.2046, decode.acc_seg: 91.6679, loss: 0.2046 +2023-03-05 01:13:33,912 - mmseg - INFO - Iter [13050/160000] lr: 1.500e-04, eta: 8:07:03, time: 0.191, data_time: 0.007, memory: 19921, decode.loss_ce: 0.2131, decode.acc_seg: 91.3945, loss: 0.2131 +2023-03-05 01:13:44,424 - mmseg - INFO - Iter [13100/160000] lr: 1.500e-04, eta: 8:06:59, time: 0.210, data_time: 0.007, memory: 19921, decode.loss_ce: 0.2170, decode.acc_seg: 91.1435, loss: 0.2170 +2023-03-05 01:13:53,993 - mmseg - INFO - Iter [13150/160000] lr: 1.500e-04, eta: 8:06:45, time: 0.191, data_time: 0.007, memory: 19921, decode.loss_ce: 0.2086, decode.acc_seg: 91.3383, loss: 0.2086 +2023-03-05 01:14:03,737 - mmseg - INFO - Iter [13200/160000] lr: 1.500e-04, eta: 8:06:33, time: 0.195, data_time: 0.007, memory: 19921, decode.loss_ce: 0.2067, decode.acc_seg: 91.5321, loss: 0.2067 +2023-03-05 01:14:13,491 - mmseg - INFO - Iter [13250/160000] lr: 1.500e-04, eta: 8:06:21, time: 0.195, data_time: 0.007, memory: 19921, decode.loss_ce: 0.2136, decode.acc_seg: 91.3459, loss: 0.2136 +2023-03-05 01:14:25,843 - mmseg - INFO - Iter [13300/160000] lr: 1.500e-04, eta: 8:06:38, time: 0.247, data_time: 0.058, memory: 19921, decode.loss_ce: 0.2217, decode.acc_seg: 90.9244, loss: 0.2217 +2023-03-05 01:14:35,389 - mmseg - INFO - Iter [13350/160000] lr: 1.500e-04, eta: 8:06:23, time: 0.191, data_time: 0.007, memory: 19921, decode.loss_ce: 0.2061, decode.acc_seg: 91.8015, loss: 0.2061 +2023-03-05 01:14:45,083 - mmseg - INFO - Iter [13400/160000] lr: 1.500e-04, eta: 8:06:11, time: 0.194, data_time: 0.007, memory: 19921, decode.loss_ce: 0.2271, decode.acc_seg: 90.8832, loss: 0.2271 +2023-03-05 01:14:54,678 - mmseg - INFO - Iter [13450/160000] lr: 1.500e-04, eta: 8:05:57, time: 0.192, data_time: 0.007, memory: 19921, decode.loss_ce: 0.2049, decode.acc_seg: 91.4981, loss: 0.2049 +2023-03-05 01:15:04,363 - mmseg - INFO - Iter [13500/160000] lr: 1.500e-04, eta: 8:05:44, time: 0.194, data_time: 0.007, memory: 19921, decode.loss_ce: 0.2128, decode.acc_seg: 91.2608, loss: 0.2128 +2023-03-05 01:15:14,043 - mmseg - INFO - Iter [13550/160000] lr: 1.500e-04, eta: 8:05:31, time: 0.194, data_time: 0.007, memory: 19921, decode.loss_ce: 0.2071, decode.acc_seg: 91.4676, loss: 0.2071 +2023-03-05 01:15:23,572 - mmseg - INFO - Iter [13600/160000] lr: 1.500e-04, eta: 8:05:17, time: 0.191, data_time: 0.007, memory: 19921, decode.loss_ce: 0.2031, decode.acc_seg: 91.7146, loss: 0.2031 +2023-03-05 01:15:33,258 - mmseg - INFO - Iter [13650/160000] lr: 1.500e-04, eta: 8:05:04, time: 0.194, data_time: 0.007, memory: 19921, decode.loss_ce: 0.2079, decode.acc_seg: 91.5084, loss: 0.2079 +2023-03-05 01:15:42,845 - mmseg - INFO - Iter [13700/160000] lr: 1.500e-04, eta: 8:04:50, time: 0.192, data_time: 0.007, memory: 19921, decode.loss_ce: 0.2244, decode.acc_seg: 91.0703, loss: 0.2244 +2023-03-05 01:15:52,343 - mmseg - INFO - Iter [13750/160000] lr: 1.500e-04, eta: 8:04:36, time: 0.190, data_time: 0.007, memory: 19921, decode.loss_ce: 0.2120, decode.acc_seg: 91.2935, loss: 0.2120 +2023-03-05 01:16:01,967 - mmseg - INFO - Iter [13800/160000] lr: 1.500e-04, eta: 8:04:22, time: 0.192, data_time: 0.007, memory: 19921, decode.loss_ce: 0.2109, decode.acc_seg: 91.2852, loss: 0.2109 +2023-03-05 01:16:11,521 - mmseg - INFO - Iter [13850/160000] lr: 1.500e-04, eta: 8:04:08, time: 0.191, data_time: 0.007, memory: 19921, decode.loss_ce: 0.2173, decode.acc_seg: 91.2555, loss: 0.2173 +2023-03-05 01:16:23,631 - mmseg - INFO - Iter [13900/160000] lr: 1.500e-04, eta: 8:04:21, time: 0.242, data_time: 0.056, memory: 19921, decode.loss_ce: 0.2197, decode.acc_seg: 91.0556, loss: 0.2197 +2023-03-05 01:16:33,469 - mmseg - INFO - Iter [13950/160000] lr: 1.500e-04, eta: 8:04:10, time: 0.197, data_time: 0.007, memory: 19921, decode.loss_ce: 0.2091, decode.acc_seg: 91.4950, loss: 0.2091 +2023-03-05 01:16:43,088 - mmseg - INFO - Exp name: ablation_segformer_mit_b2_segformer_head_unet_fc_small_multi_step_ade_pretrained_freeze_embed_160k_ade20k151_mask_finetune_maskreplace.py +2023-03-05 01:16:43,088 - mmseg - INFO - Iter [14000/160000] lr: 1.500e-04, eta: 8:03:57, time: 0.192, data_time: 0.007, memory: 19921, decode.loss_ce: 0.2084, decode.acc_seg: 91.5272, loss: 0.2084 +2023-03-05 01:16:53,136 - mmseg - INFO - Iter [14050/160000] lr: 1.500e-04, eta: 8:03:48, time: 0.201, data_time: 0.007, memory: 19921, decode.loss_ce: 0.2170, decode.acc_seg: 91.1932, loss: 0.2170 +2023-03-05 01:17:02,816 - mmseg - INFO - Iter [14100/160000] lr: 1.500e-04, eta: 8:03:35, time: 0.194, data_time: 0.007, memory: 19921, decode.loss_ce: 0.2146, decode.acc_seg: 91.1812, loss: 0.2146 +2023-03-05 01:17:12,367 - mmseg - INFO - Iter [14150/160000] lr: 1.500e-04, eta: 8:03:21, time: 0.191, data_time: 0.007, memory: 19921, decode.loss_ce: 0.2108, decode.acc_seg: 91.3268, loss: 0.2108 +2023-03-05 01:17:21,856 - mmseg - INFO - Iter [14200/160000] lr: 1.500e-04, eta: 8:03:07, time: 0.190, data_time: 0.007, memory: 19921, decode.loss_ce: 0.2199, decode.acc_seg: 91.1309, loss: 0.2199 +2023-03-05 01:17:31,616 - mmseg - INFO - Iter [14250/160000] lr: 1.500e-04, eta: 8:02:55, time: 0.195, data_time: 0.007, memory: 19921, decode.loss_ce: 0.2170, decode.acc_seg: 91.0966, loss: 0.2170 +2023-03-05 01:17:41,263 - mmseg - INFO - Iter [14300/160000] lr: 1.500e-04, eta: 8:02:42, time: 0.193, data_time: 0.007, memory: 19921, decode.loss_ce: 0.2117, decode.acc_seg: 91.3660, loss: 0.2117 +2023-03-05 01:17:50,844 - mmseg - INFO - Iter [14350/160000] lr: 1.500e-04, eta: 8:02:28, time: 0.192, data_time: 0.007, memory: 19921, decode.loss_ce: 0.2058, decode.acc_seg: 91.6843, loss: 0.2058 +2023-03-05 01:18:00,366 - mmseg - INFO - Iter [14400/160000] lr: 1.500e-04, eta: 8:02:14, time: 0.190, data_time: 0.007, memory: 19921, decode.loss_ce: 0.2001, decode.acc_seg: 91.8074, loss: 0.2001 +2023-03-05 01:18:09,903 - mmseg - INFO - Iter [14450/160000] lr: 1.500e-04, eta: 8:02:00, time: 0.190, data_time: 0.007, memory: 19921, decode.loss_ce: 0.2094, decode.acc_seg: 91.4224, loss: 0.2094 +2023-03-05 01:18:19,402 - mmseg - INFO - Iter [14500/160000] lr: 1.500e-04, eta: 8:01:46, time: 0.190, data_time: 0.007, memory: 19921, decode.loss_ce: 0.2200, decode.acc_seg: 90.9784, loss: 0.2200 +2023-03-05 01:18:31,524 - mmseg - INFO - Iter [14550/160000] lr: 1.500e-04, eta: 8:01:58, time: 0.242, data_time: 0.053, memory: 19921, decode.loss_ce: 0.2187, decode.acc_seg: 91.1669, loss: 0.2187 +2023-03-05 01:18:41,088 - mmseg - INFO - Iter [14600/160000] lr: 1.500e-04, eta: 8:01:44, time: 0.191, data_time: 0.007, memory: 19921, decode.loss_ce: 0.2010, decode.acc_seg: 91.6076, loss: 0.2010 +2023-03-05 01:18:50,675 - mmseg - INFO - Iter [14650/160000] lr: 1.500e-04, eta: 8:01:31, time: 0.192, data_time: 0.007, memory: 19921, decode.loss_ce: 0.2053, decode.acc_seg: 91.6412, loss: 0.2053 +2023-03-05 01:19:00,229 - mmseg - INFO - Iter [14700/160000] lr: 1.500e-04, eta: 8:01:17, time: 0.191, data_time: 0.007, memory: 19921, decode.loss_ce: 0.2295, decode.acc_seg: 90.5682, loss: 0.2295 +2023-03-05 01:19:09,800 - mmseg - INFO - Iter [14750/160000] lr: 1.500e-04, eta: 8:01:03, time: 0.191, data_time: 0.007, memory: 19921, decode.loss_ce: 0.2141, decode.acc_seg: 91.3040, loss: 0.2141 +2023-03-05 01:19:19,347 - mmseg - INFO - Iter [14800/160000] lr: 1.500e-04, eta: 8:00:50, time: 0.191, data_time: 0.007, memory: 19921, decode.loss_ce: 0.2070, decode.acc_seg: 91.5507, loss: 0.2070 +2023-03-05 01:19:28,978 - mmseg - INFO - Iter [14850/160000] lr: 1.500e-04, eta: 8:00:37, time: 0.193, data_time: 0.007, memory: 19921, decode.loss_ce: 0.2226, decode.acc_seg: 90.8206, loss: 0.2226 +2023-03-05 01:19:38,825 - mmseg - INFO - Iter [14900/160000] lr: 1.500e-04, eta: 8:00:26, time: 0.197, data_time: 0.007, memory: 19921, decode.loss_ce: 0.2062, decode.acc_seg: 91.5610, loss: 0.2062 +2023-03-05 01:19:48,338 - mmseg - INFO - Iter [14950/160000] lr: 1.500e-04, eta: 8:00:12, time: 0.190, data_time: 0.007, memory: 19921, decode.loss_ce: 0.2128, decode.acc_seg: 91.4500, loss: 0.2128 +2023-03-05 01:19:58,308 - mmseg - INFO - Exp name: ablation_segformer_mit_b2_segformer_head_unet_fc_small_multi_step_ade_pretrained_freeze_embed_160k_ade20k151_mask_finetune_maskreplace.py +2023-03-05 01:19:58,308 - mmseg - INFO - Iter [15000/160000] lr: 1.500e-04, eta: 8:00:02, time: 0.199, data_time: 0.007, memory: 19921, decode.loss_ce: 0.2059, decode.acc_seg: 91.4189, loss: 0.2059 +2023-03-05 01:20:08,009 - mmseg - INFO - Iter [15050/160000] lr: 1.500e-04, eta: 7:59:50, time: 0.194, data_time: 0.007, memory: 19921, decode.loss_ce: 0.2066, decode.acc_seg: 91.4736, loss: 0.2066 +2023-03-05 01:20:17,696 - mmseg - INFO - Iter [15100/160000] lr: 1.500e-04, eta: 7:59:38, time: 0.194, data_time: 0.007, memory: 19921, decode.loss_ce: 0.2144, decode.acc_seg: 91.3446, loss: 0.2144 +2023-03-05 01:20:29,868 - mmseg - INFO - Iter [15150/160000] lr: 1.500e-04, eta: 7:59:49, time: 0.243, data_time: 0.055, memory: 19921, decode.loss_ce: 0.2105, decode.acc_seg: 91.3918, loss: 0.2105 +2023-03-05 01:20:39,762 - mmseg - INFO - Iter [15200/160000] lr: 1.500e-04, eta: 7:59:39, time: 0.198, data_time: 0.007, memory: 19921, decode.loss_ce: 0.2124, decode.acc_seg: 91.4278, loss: 0.2124 +2023-03-05 01:20:49,501 - mmseg - INFO - Iter [15250/160000] lr: 1.500e-04, eta: 7:59:27, time: 0.195, data_time: 0.007, memory: 19921, decode.loss_ce: 0.2141, decode.acc_seg: 91.3290, loss: 0.2141 +2023-03-05 01:20:59,032 - mmseg - INFO - Iter [15300/160000] lr: 1.500e-04, eta: 7:59:13, time: 0.191, data_time: 0.007, memory: 19921, decode.loss_ce: 0.2230, decode.acc_seg: 90.9152, loss: 0.2230 +2023-03-05 01:21:08,652 - mmseg - INFO - Iter [15350/160000] lr: 1.500e-04, eta: 7:59:01, time: 0.192, data_time: 0.007, memory: 19921, decode.loss_ce: 0.2120, decode.acc_seg: 91.4666, loss: 0.2120 +2023-03-05 01:21:18,413 - mmseg - INFO - Iter [15400/160000] lr: 1.500e-04, eta: 7:58:49, time: 0.195, data_time: 0.007, memory: 19921, decode.loss_ce: 0.2157, decode.acc_seg: 91.1909, loss: 0.2157 +2023-03-05 01:21:27,954 - mmseg - INFO - Iter [15450/160000] lr: 1.500e-04, eta: 7:58:35, time: 0.191, data_time: 0.007, memory: 19921, decode.loss_ce: 0.2041, decode.acc_seg: 91.6451, loss: 0.2041 +2023-03-05 01:21:37,664 - mmseg - INFO - Iter [15500/160000] lr: 1.500e-04, eta: 7:58:23, time: 0.194, data_time: 0.007, memory: 19921, decode.loss_ce: 0.2094, decode.acc_seg: 91.5920, loss: 0.2094 +2023-03-05 01:21:47,416 - mmseg - INFO - Iter [15550/160000] lr: 1.500e-04, eta: 7:58:12, time: 0.195, data_time: 0.007, memory: 19921, decode.loss_ce: 0.2220, decode.acc_seg: 91.0499, loss: 0.2220 +2023-03-05 01:21:57,130 - mmseg - INFO - Iter [15600/160000] lr: 1.500e-04, eta: 7:58:00, time: 0.194, data_time: 0.007, memory: 19921, decode.loss_ce: 0.2157, decode.acc_seg: 91.3602, loss: 0.2157 +2023-03-05 01:22:06,670 - mmseg - INFO - Iter [15650/160000] lr: 1.500e-04, eta: 7:57:46, time: 0.191, data_time: 0.007, memory: 19921, decode.loss_ce: 0.2074, decode.acc_seg: 91.5083, loss: 0.2074 +2023-03-05 01:22:16,173 - mmseg - INFO - Iter [15700/160000] lr: 1.500e-04, eta: 7:57:32, time: 0.190, data_time: 0.007, memory: 19921, decode.loss_ce: 0.2049, decode.acc_seg: 91.6125, loss: 0.2049 +2023-03-05 01:22:25,950 - mmseg - INFO - Iter [15750/160000] lr: 1.500e-04, eta: 7:57:21, time: 0.196, data_time: 0.007, memory: 19921, decode.loss_ce: 0.2078, decode.acc_seg: 91.5387, loss: 0.2078 +2023-03-05 01:22:37,987 - mmseg - INFO - Iter [15800/160000] lr: 1.500e-04, eta: 7:57:30, time: 0.241, data_time: 0.056, memory: 19921, decode.loss_ce: 0.2105, decode.acc_seg: 91.5097, loss: 0.2105 +2023-03-05 01:22:47,509 - mmseg - INFO - Iter [15850/160000] lr: 1.500e-04, eta: 7:57:17, time: 0.190, data_time: 0.007, memory: 19921, decode.loss_ce: 0.2128, decode.acc_seg: 91.2861, loss: 0.2128 +2023-03-05 01:22:56,979 - mmseg - INFO - Iter [15900/160000] lr: 1.500e-04, eta: 7:57:03, time: 0.189, data_time: 0.007, memory: 19921, decode.loss_ce: 0.2011, decode.acc_seg: 91.6507, loss: 0.2011 +2023-03-05 01:23:06,989 - mmseg - INFO - Iter [15950/160000] lr: 1.500e-04, eta: 7:56:53, time: 0.200, data_time: 0.006, memory: 19921, decode.loss_ce: 0.2265, decode.acc_seg: 90.8389, loss: 0.2265 +2023-03-05 01:23:16,468 - mmseg - INFO - Swap parameters (after train) after iter [16000] +2023-03-05 01:23:16,481 - mmseg - INFO - Saving checkpoint at 16000 iterations +2023-03-05 01:23:17,488 - mmseg - INFO - Exp name: ablation_segformer_mit_b2_segformer_head_unet_fc_small_multi_step_ade_pretrained_freeze_embed_160k_ade20k151_mask_finetune_maskreplace.py +2023-03-05 01:23:17,488 - mmseg - INFO - Iter [16000/160000] lr: 1.500e-04, eta: 7:56:48, time: 0.209, data_time: 0.007, memory: 19921, decode.loss_ce: 0.2070, decode.acc_seg: 91.6179, loss: 0.2070 +2023-03-05 01:37:06,076 - mmseg - INFO - per class results: +2023-03-05 01:37:06,085 - mmseg - INFO - ++---------------------+-------------------------------------------------------------------+ +| Class | IoU 0,10,20,30,40,50,60,70,80,90,99 | ++---------------------+-------------------------------------------------------------------+ +| background | nan,nan,nan,nan,nan,nan,nan,nan,nan,nan,nan | +| wall | 77.1,77.1,77.12,77.12,77.12,77.12,77.13,77.12,77.12,77.12,77.13 | +| building | 81.51,81.51,81.52,81.53,81.54,81.54,81.54,81.54,81.53,81.53,81.52 | +| sky | 94.38,94.38,94.38,94.39,94.39,94.39,94.39,94.39,94.39,94.39,94.4 | +| floor | 81.43,81.44,81.46,81.47,81.49,81.5,81.48,81.51,81.51,81.52,81.54 | +| tree | 73.76,73.76,73.75,73.75,73.78,73.78,73.75,73.75,73.75,73.76,73.81 | +| ceiling | 84.95,84.97,84.98,84.99,85.01,85.01,85.02,85.01,85.02,85.02,85.03 | +| road | 81.57,81.56,81.56,81.55,81.52,81.5,81.51,81.5,81.5,81.52,81.52 | +| bed | 87.38,87.38,87.39,87.38,87.38,87.38,87.37,87.37,87.37,87.38,87.37 | +| windowpane | 60.27,60.28,60.29,60.29,60.33,60.33,60.32,60.32,60.33,60.37,60.35 | +| grass | 66.97,67.0,67.01,67.05,67.07,67.08,67.09,67.11,67.09,67.07,67.08 | +| cabinet | 59.88,59.91,59.92,59.94,59.95,59.96,60.03,60.01,60.01,60.03,60.01 | +| sidewalk | 63.45,63.46,63.44,63.43,63.37,63.35,63.35,63.36,63.38,63.4,63.37 | +| person | 79.32,79.31,79.3,79.3,79.31,79.29,79.31,79.32,79.36,79.36,79.36 | +| earth | 35.57,35.61,35.62,35.6,35.66,35.62,35.65,35.65,35.67,35.68,35.73 | +| door | 44.77,44.79,44.84,44.89,44.93,44.94,44.99,45.01,44.99,45.01,45.12 | +| table | 59.79,59.84,59.9,59.92,59.99,59.97,59.93,59.98,59.94,59.96,59.91 | +| mountain | 57.0,57.04,57.1,57.16,57.13,57.15,57.16,57.1,57.1,57.06,57.13 | +| plant | 49.86,49.87,49.85,49.84,49.9,49.87,49.87,49.86,49.9,49.93,49.91 | +| curtain | 74.05,74.05,74.09,74.13,74.15,74.1,74.11,74.08,74.14,74.15,74.15 | +| chair | 55.86,55.88,55.93,55.92,55.97,55.95,55.93,55.99,55.98,55.94,55.9 | +| car | 81.15,81.16,81.16,81.17,81.2,81.18,81.19,81.18,81.17,81.16,81.11 | +| water | 57.65,57.65,57.68,57.68,57.69,57.68,57.7,57.66,57.66,57.65,57.66 | +| painting | 70.66,70.63,70.57,70.54,70.5,70.45,70.34,70.3,70.21,70.13,70.11 | +| sofa | 63.42,63.41,63.49,63.44,63.48,63.42,63.42,63.47,63.46,63.41,63.45 | +| shelf | 44.12,44.17,44.19,44.25,44.23,44.19,44.28,44.29,44.31,44.3,44.12 | +| house | 41.38,41.45,41.47,41.53,41.61,41.69,41.68,41.74,41.69,41.75,41.79 | +| sea | 60.71,60.71,60.69,60.66,60.66,60.64,60.65,60.6,60.6,60.57,60.54 | +| mirror | 64.38,64.41,64.44,64.48,64.47,64.47,64.47,64.48,64.47,64.49,64.54 | +| rug | 64.4,64.44,64.5,64.51,64.64,64.61,64.68,64.75,64.74,64.77,64.82 | +| field | 30.58,30.6,30.56,30.57,30.54,30.55,30.55,30.54,30.55,30.58,30.57 | +| armchair | 36.81,36.77,36.87,36.79,36.89,36.89,36.84,36.87,36.87,36.93,36.99 | +| seat | 66.09,66.1,66.13,66.18,66.18,66.22,66.24,66.27,66.27,66.26,66.28 | +| fence | 40.2,40.24,40.22,40.29,40.33,40.32,40.34,40.39,40.46,40.47,40.55 | +| desk | 46.27,46.34,46.45,46.5,46.55,46.61,46.64,46.71,46.74,46.8,46.79 | +| rock | 36.47,36.45,36.42,36.4,36.37,36.34,36.34,36.29,36.31,36.28,36.32 | +| wardrobe | 56.64,56.67,56.68,56.62,56.68,56.7,56.71,56.78,56.83,56.85,56.89 | +| lamp | 60.29,60.29,60.22,60.22,60.17,60.12,60.11,60.09,60.07,60.08,60.07 | +| bathtub | 75.65,75.72,75.72,75.78,75.83,75.86,75.92,75.92,75.97,75.98,76.0 | +| railing | 33.53,33.52,33.59,33.58,33.58,33.63,33.66,33.68,33.7,33.68,33.79 | +| cushion | 55.04,55.03,55.04,55.08,55.01,55.06,55.04,55.04,54.99,54.98,55.07 | +| base | 20.87,20.99,21.02,21.08,21.12,21.24,21.26,21.34,21.29,21.31,21.57 | +| box | 22.65,22.64,22.64,22.6,22.62,22.64,22.61,22.63,22.64,22.65,22.61 | +| column | 45.37,45.41,45.34,45.35,45.33,45.35,45.26,45.27,45.33,45.31,45.36 | +| signboard | 37.94,37.94,37.95,37.92,38.03,38.02,38.01,38.04,38.05,38.05,37.92 | +| chest of drawers | 35.95,35.97,35.85,35.92,35.88,35.89,35.92,35.89,35.9,35.89,35.81 | +| counter | 31.85,31.87,31.81,31.81,31.71,31.81,31.78,31.77,31.73,31.74,31.81 | +| sand | 43.89,44.01,44.21,44.38,44.44,44.77,44.93,45.01,45.17,45.48,45.55 | +| sink | 66.96,67.0,66.97,66.96,66.95,66.97,66.9,66.88,66.89,66.81,66.81 | +| skyscraper | 52.29,52.26,52.23,52.24,51.93,51.96,52.04,52.01,51.7,51.49,51.67 | +| fireplace | 73.86,73.97,73.96,74.12,74.19,74.16,74.25,74.38,74.4,74.39,74.4 | +| refrigerator | 73.44,73.44,73.54,73.56,73.6,73.59,73.61,73.63,73.76,73.78,73.57 | +| grandstand | 51.08,51.14,51.2,51.39,51.39,51.55,51.61,51.62,51.69,51.66,51.58 | +| path | 22.19,22.22,22.26,22.32,22.34,22.33,22.29,22.32,22.37,22.35,22.42 | +| stairs | 30.76,30.72,30.7,30.64,30.62,30.57,30.57,30.54,30.49,30.47,30.47 | +| runway | 66.77,66.71,66.78,66.77,66.81,66.82,66.81,66.83,66.82,66.91,66.89 | +| case | 48.61,48.66,48.67,48.62,48.74,48.71,48.77,48.8,48.8,48.81,48.75 | +| pool table | 91.56,91.58,91.59,91.61,91.63,91.59,91.62,91.65,91.65,91.65,91.66 | +| pillow | 59.03,59.29,59.35,59.52,59.51,59.72,59.82,59.89,59.99,60.06,60.21 | +| screen door | 65.67,65.67,65.65,65.68,65.77,65.68,65.97,65.84,66.02,66.05,66.52 | +| stairway | 23.15,23.14,23.18,23.16,23.17,23.2,23.19,23.18,23.21,23.28,23.19 | +| river | 11.92,11.92,11.92,11.92,11.91,11.92,11.93,11.92,11.91,11.92,11.87 | +| bridge | 32.95,32.93,32.93,32.94,33.1,33.1,32.88,32.86,33.04,33.01,32.87 | +| bookcase | 46.31,46.33,46.32,46.36,46.27,46.25,46.3,46.29,46.31,46.07,46.14 | +| blind | 39.97,39.96,40.02,40.07,40.07,40.18,40.05,40.03,40.12,40.19,40.05 | +| coffee table | 53.17,53.18,53.17,53.1,53.13,53.1,53.08,53.14,53.06,53.04,53.01 | +| toilet | 83.53,83.54,83.48,83.49,83.45,83.44,83.43,83.39,83.37,83.37,83.31 | +| flower | 38.9,38.93,38.94,38.93,38.94,38.93,38.97,38.99,39.01,38.98,39.01 | +| book | 44.79,44.79,44.82,44.7,44.73,44.77,44.73,44.7,44.67,44.63,44.49 | +| hill | 15.36,15.32,15.35,15.34,15.36,15.33,15.3,15.28,15.31,15.25,15.34 | +| bench | 42.3,42.25,42.23,42.22,42.15,42.11,42.08,42.06,41.98,42.0,42.01 | +| countertop | 53.68,53.72,53.78,53.88,53.99,54.04,54.07,54.03,54.09,54.19,54.29 | +| stove | 70.0,70.0,69.98,70.0,70.04,70.04,69.98,70.05,69.98,69.98,70.05 | +| palm | 48.61,48.62,48.64,48.64,48.62,48.64,48.64,48.63,48.6,48.61,48.65 | +| kitchen island | 40.54,40.69,40.71,40.87,40.87,41.1,41.07,41.31,41.28,41.38,41.5 | +| computer | 59.06,59.08,59.09,59.09,59.11,59.16,59.19,59.2,59.25,59.26,59.19 | +| swivel chair | 43.55,43.59,43.62,43.69,43.65,43.62,43.68,43.73,43.69,43.76,43.82 | +| boat | 68.63,68.73,68.78,68.82,68.85,68.86,68.95,68.95,68.95,68.89,68.94 | +| bar | 23.24,23.3,23.37,23.39,23.37,23.47,23.45,23.51,23.51,23.54,23.56 | +| arcade machine | 70.86,70.74,70.55,70.58,70.46,70.27,70.31,70.25,70.09,70.03,70.34 | +| hovel | 32.47,32.15,32.15,31.9,32.06,31.5,31.3,31.22,30.78,30.79,30.39 | +| bus | 78.14,78.21,78.21,78.15,78.16,78.15,78.12,78.13,78.15,78.11,78.04 | +| towel | 62.24,62.29,62.26,62.27,62.31,62.18,62.23,62.37,62.23,62.28,62.17 | +| light | 53.89,53.91,53.92,53.95,53.95,53.98,53.98,53.96,53.89,53.93,53.96 | +| truck | 17.24,17.2,17.21,17.32,17.42,17.55,17.43,17.49,17.68,17.66,17.77 | +| tower | 7.14,7.21,7.21,7.27,7.3,7.34,7.3,7.36,7.4,7.43,7.43 | +| chandelier | 63.42,63.45,63.42,63.34,63.38,63.36,63.42,63.38,63.37,63.42,63.42 | +| awning | 23.49,23.55,23.59,23.59,23.55,23.64,23.6,23.5,23.61,23.56,23.48 | +| streetlight | 25.54,25.55,25.55,25.61,25.68,25.6,25.65,25.68,25.72,25.76,25.8 | +| booth | 42.17,42.18,42.23,42.41,42.48,42.58,42.63,42.77,42.97,42.96,43.3 | +| television receiver | 63.92,63.92,63.92,63.96,63.87,63.9,63.98,63.93,63.98,63.89,64.0 | +| airplane | 57.72,57.72,57.72,57.76,57.79,57.8,57.79,57.82,57.87,57.87,57.7 | +| dirt track | 19.44,19.49,19.55,19.87,19.8,19.62,19.65,19.42,19.5,19.35,19.9 | +| apparel | 33.0,33.09,33.2,33.33,33.48,33.6,33.59,33.83,33.85,34.1,33.94 | +| pole | 16.27,16.23,16.43,16.44,16.55,16.66,16.63,16.77,16.64,16.72,16.65 | +| land | 3.95,3.97,3.96,4.09,4.12,4.27,4.37,4.38,4.41,4.5,4.44 | +| bannister | 11.23,11.27,11.23,11.33,11.34,11.38,11.47,11.39,11.39,11.49,11.38 | +| escalator | 23.8,23.78,23.89,23.88,23.96,23.93,23.95,24.01,24.01,24.07,24.0 | +| ottoman | 42.81,42.85,42.78,42.87,42.78,42.71,42.81,42.63,42.67,42.65,42.93 | +| bottle | 35.32,35.21,35.29,35.27,35.2,35.23,35.1,35.36,35.17,35.06,34.64 | +| buffet | 37.88,37.76,37.78,37.89,37.89,37.95,37.89,37.91,38.02,38.12,38.16 | +| poster | 23.77,23.74,23.69,23.72,23.6,23.64,23.6,23.56,23.58,23.55,23.54 | +| stage | 13.94,13.95,13.98,13.99,13.97,14.03,14.01,14.07,14.06,14.13,14.14 | +| van | 38.5,38.54,38.52,38.57,38.64,38.63,38.62,38.66,38.59,38.62,38.61 | +| ship | 75.58,75.58,75.55,75.54,75.55,75.51,75.55,75.48,75.45,75.51,75.44 | +| fountain | 17.31,17.35,17.54,17.74,17.98,18.08,18.31,18.47,18.83,19.06,19.17 | +| conveyer belt | 84.34,84.32,84.14,84.11,84.08,83.91,83.7,83.63,83.52,83.43,83.51 | +| canopy | 23.53,23.34,23.07,22.86,22.84,22.46,22.2,22.06,21.99,21.82,21.66 | +| washer | 77.15,77.23,77.17,77.15,77.36,77.45,77.45,77.58,77.5,77.56,77.79 | +| plaything | 21.02,21.06,21.03,21.05,21.06,21.09,21.15,21.0,21.03,21.05,21.08 | +| swimming pool | 74.31,74.6,74.86,75.19,75.42,75.51,75.91,76.03,75.94,76.11,76.2 | +| stool | 42.77,42.78,42.84,42.99,42.98,43.21,43.17,43.2,43.28,43.33,43.45 | +| barrel | 40.37,40.14,40.04,40.02,40.08,40.14,39.79,39.9,39.82,39.95,39.81 | +| basket | 24.57,24.54,24.56,24.48,24.58,24.59,24.54,24.49,24.52,24.49,24.49 | +| waterfall | 48.85,48.91,48.96,48.96,49.0,48.83,48.94,48.87,48.86,48.8,48.77 | +| tent | 95.03,95.03,95.03,94.99,95.0,94.94,94.93,94.94,94.9,94.9,94.86 | +| bag | 13.73,13.77,13.8,13.78,13.82,13.83,13.81,13.84,13.87,13.9,13.87 | +| minibike | 63.33,63.28,63.32,63.29,63.35,63.38,63.36,63.45,63.43,63.47,63.36 | +| cradle | 84.01,84.08,84.13,84.18,84.16,84.24,84.3,84.33,84.32,84.35,84.35 | +| oven | 44.98,45.0,45.01,45.03,45.17,45.13,45.28,45.27,45.25,45.33,45.42 | +| ball | 44.23,44.55,44.85,45.19,45.27,45.64,45.73,46.01,46.31,46.45,46.61 | +| food | 52.28,52.32,52.62,52.59,52.88,52.79,52.73,52.95,52.91,53.12,52.65 | +| step | 4.59,4.58,4.78,4.67,4.76,4.9,4.59,4.74,4.78,4.82,4.79 | +| tank | 51.25,51.27,51.36,51.41,51.43,51.71,51.65,51.61,51.76,51.92,51.94 | +| trade name | 29.35,29.26,29.16,29.12,29.07,29.14,29.0,28.79,28.84,28.86,28.64 | +| microwave | 72.55,72.7,72.69,72.81,72.9,73.01,73.08,73.21,73.32,73.37,73.46 | +| pot | 30.68,30.67,30.64,30.64,30.68,30.68,30.59,30.66,30.71,30.69,30.59 | +| animal | 54.37,54.4,54.51,54.57,54.66,54.68,54.76,54.8,54.83,54.84,54.81 | +| bicycle | 53.42,53.47,53.53,53.48,53.61,53.4,53.15,53.37,53.29,53.13,53.97 | +| lake | 57.56,57.56,57.5,57.49,57.48,57.41,57.38,57.35,57.36,57.33,57.34 | +| dishwasher | 64.9,65.14,64.84,64.44,64.3,64.16,64.46,64.41,64.39,64.39,64.76 | +| screen | 69.54,69.48,69.25,69.34,69.18,68.99,68.83,68.78,68.7,68.62,68.69 | +| blanket | 17.61,17.64,17.48,17.52,17.42,17.39,17.55,17.5,17.44,17.48,17.56 | +| sculpture | 57.55,57.67,57.72,57.57,57.62,57.64,57.55,57.63,57.45,57.39,57.38 | +| hood | 58.02,58.03,57.97,58.12,58.12,58.03,58.12,58.04,57.98,57.99,58.05 | +| sconce | 41.45,41.35,41.25,41.21,41.22,41.09,41.03,40.9,40.88,40.96,41.01 | +| vase | 36.15,36.26,36.22,36.26,36.31,36.31,36.36,36.44,36.61,36.57,36.76 | +| traffic light | 32.43,32.52,32.57,32.56,32.55,32.71,32.57,32.66,32.73,32.62,32.79 | +| tray | 6.62,6.58,6.57,6.52,6.5,6.46,6.53,6.42,6.44,6.41,6.54 | +| ashcan | 41.9,42.05,41.9,41.88,41.82,41.93,42.03,41.92,41.86,41.92,41.99 | +| fan | 57.62,57.67,57.66,57.49,57.7,57.65,57.66,57.64,57.73,57.69,57.79 | +| pier | 46.31,46.51,46.49,46.62,46.71,46.66,46.95,46.9,46.23,46.47,46.74 | +| crt screen | 9.79,9.75,9.87,9.73,9.86,9.72,9.83,9.8,9.7,9.71,9.81 | +| plate | 52.08,52.06,52.05,51.99,51.98,51.92,51.88,51.82,51.78,51.77,51.61 | +| monitor | 19.19,19.02,18.97,18.8,18.83,18.7,18.65,18.66,18.61,18.54,18.23 | +| bulletin board | 38.91,38.73,38.94,38.94,38.85,39.02,39.09,39.04,39.13,39.06,39.24 | +| shower | 1.27,1.26,1.29,1.28,1.27,1.33,1.3,1.33,1.34,1.32,1.32 | +| radiator | 61.4,61.56,61.68,61.58,61.81,62.02,62.01,62.15,61.77,61.52,61.88 | +| glass | 12.22,12.2,12.21,12.24,12.19,12.2,12.18,12.18,12.16,12.15,12.16 | +| clock | 34.35,34.24,34.22,34.08,34.16,34.19,33.85,34.05,33.86,33.88,33.89 | +| flag | 34.81,34.83,34.77,34.82,34.85,34.8,34.87,34.77,34.78,34.9,35.01 | ++---------------------+-------------------------------------------------------------------+ +2023-03-05 01:37:06,085 - mmseg - INFO - Summary: +2023-03-05 01:37:06,086 - mmseg - INFO - ++------------------------------------------------------------------+ +| mIoU 0,10,20,30,40,50,60,70,80,90,99 | ++------------------------------------------------------------------+ +| 48.05,48.07,48.08,48.1,48.12,48.13,48.13,48.14,48.14,48.15,48.17 | ++------------------------------------------------------------------+ +2023-03-05 01:37:07,110 - mmseg - INFO - Now best checkpoint is saved as best_mIoU_iter_16000.pth. +2023-03-05 01:37:07,110 - mmseg - INFO - Best mIoU is 0.4817 at 16000 iter. +2023-03-05 01:37:07,111 - mmseg - INFO - Exp name: ablation_segformer_mit_b2_segformer_head_unet_fc_small_multi_step_ade_pretrained_freeze_embed_160k_ade20k151_mask_finetune_maskreplace.py +2023-03-05 01:37:07,111 - mmseg - INFO - Iter(val) [250] mIoU: [0.4805, 0.4807, 0.4808, 0.481, 0.4812, 0.4813, 0.4813, 0.4814, 0.4814, 0.4815, 0.4817], copy_paste: 48.05,48.07,48.08,48.1,48.12,48.13,48.13,48.14,48.14,48.15,48.17 +2023-03-05 01:37:07,117 - mmseg - INFO - Swap parameters (before train) before iter [16001] +2023-03-05 01:37:17,120 - mmseg - INFO - Iter [16050/160000] lr: 1.500e-04, eta: 10:00:40, time: 16.793, data_time: 16.601, memory: 52540, decode.loss_ce: 0.2025, decode.acc_seg: 91.6076, loss: 0.2025 +2023-03-05 01:37:27,163 - mmseg - INFO - Iter [16100/160000] lr: 1.500e-04, eta: 10:00:05, time: 0.201, data_time: 0.008, memory: 52540, decode.loss_ce: 0.2183, decode.acc_seg: 91.0568, loss: 0.2183 +2023-03-05 01:37:36,728 - mmseg - INFO - Iter [16150/160000] lr: 1.500e-04, eta: 9:59:27, time: 0.191, data_time: 0.007, memory: 52540, decode.loss_ce: 0.2075, decode.acc_seg: 91.4904, loss: 0.2075 +2023-03-05 01:37:46,347 - mmseg - INFO - Iter [16200/160000] lr: 1.500e-04, eta: 9:58:49, time: 0.192, data_time: 0.008, memory: 52540, decode.loss_ce: 0.2025, decode.acc_seg: 91.7462, loss: 0.2025 +2023-03-05 01:37:56,068 - mmseg - INFO - Iter [16250/160000] lr: 1.500e-04, eta: 9:58:11, time: 0.194, data_time: 0.007, memory: 52540, decode.loss_ce: 0.2194, decode.acc_seg: 91.0410, loss: 0.2194 +2023-03-05 01:38:06,013 - mmseg - INFO - Iter [16300/160000] lr: 1.500e-04, eta: 9:57:37, time: 0.199, data_time: 0.007, memory: 52540, decode.loss_ce: 0.2106, decode.acc_seg: 91.5666, loss: 0.2106 +2023-03-05 01:38:15,569 - mmseg - INFO - Iter [16350/160000] lr: 1.500e-04, eta: 9:56:58, time: 0.191, data_time: 0.007, memory: 52540, decode.loss_ce: 0.2079, decode.acc_seg: 91.3476, loss: 0.2079 +2023-03-05 01:38:25,473 - mmseg - INFO - Iter [16400/160000] lr: 1.500e-04, eta: 9:56:24, time: 0.198, data_time: 0.008, memory: 52540, decode.loss_ce: 0.2168, decode.acc_seg: 91.2052, loss: 0.2168 +2023-03-05 01:38:37,686 - mmseg - INFO - Iter [16450/160000] lr: 1.500e-04, eta: 9:56:09, time: 0.244, data_time: 0.055, memory: 52540, decode.loss_ce: 0.2178, decode.acc_seg: 91.0662, loss: 0.2178 +2023-03-05 01:38:47,283 - mmseg - INFO - Iter [16500/160000] lr: 1.500e-04, eta: 9:55:32, time: 0.192, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1998, decode.acc_seg: 91.8101, loss: 0.1998 +2023-03-05 01:38:56,902 - mmseg - INFO - Iter [16550/160000] lr: 1.500e-04, eta: 9:54:55, time: 0.192, data_time: 0.007, memory: 52540, decode.loss_ce: 0.2056, decode.acc_seg: 91.4794, loss: 0.2056 +2023-03-05 01:39:06,482 - mmseg - INFO - Iter [16600/160000] lr: 1.500e-04, eta: 9:54:17, time: 0.192, data_time: 0.007, memory: 52540, decode.loss_ce: 0.2066, decode.acc_seg: 91.5782, loss: 0.2066 +2023-03-05 01:39:16,181 - mmseg - INFO - Iter [16650/160000] lr: 1.500e-04, eta: 9:53:41, time: 0.194, data_time: 0.008, memory: 52540, decode.loss_ce: 0.2093, decode.acc_seg: 91.4136, loss: 0.2093 +2023-03-05 01:39:26,055 - mmseg - INFO - Iter [16700/160000] lr: 1.500e-04, eta: 9:53:07, time: 0.197, data_time: 0.008, memory: 52540, decode.loss_ce: 0.2142, decode.acc_seg: 91.2425, loss: 0.2142 +2023-03-05 01:39:35,625 - mmseg - INFO - Iter [16750/160000] lr: 1.500e-04, eta: 9:52:30, time: 0.191, data_time: 0.007, memory: 52540, decode.loss_ce: 0.2080, decode.acc_seg: 91.4435, loss: 0.2080 +2023-03-05 01:39:45,361 - mmseg - INFO - Iter [16800/160000] lr: 1.500e-04, eta: 9:51:55, time: 0.195, data_time: 0.007, memory: 52540, decode.loss_ce: 0.2202, decode.acc_seg: 91.0968, loss: 0.2202 +2023-03-05 01:39:54,900 - mmseg - INFO - Iter [16850/160000] lr: 1.500e-04, eta: 9:51:18, time: 0.191, data_time: 0.008, memory: 52540, decode.loss_ce: 0.2094, decode.acc_seg: 91.4263, loss: 0.2094 +2023-03-05 01:40:04,606 - mmseg - INFO - Iter [16900/160000] lr: 1.500e-04, eta: 9:50:43, time: 0.194, data_time: 0.007, memory: 52540, decode.loss_ce: 0.2102, decode.acc_seg: 91.3898, loss: 0.2102 +2023-03-05 01:40:14,139 - mmseg - INFO - Iter [16950/160000] lr: 1.500e-04, eta: 9:50:07, time: 0.191, data_time: 0.007, memory: 52540, decode.loss_ce: 0.2089, decode.acc_seg: 91.4303, loss: 0.2089 +2023-03-05 01:40:24,266 - mmseg - INFO - Exp name: ablation_segformer_mit_b2_segformer_head_unet_fc_small_multi_step_ade_pretrained_freeze_embed_160k_ade20k151_mask_finetune_maskreplace.py +2023-03-05 01:40:24,267 - mmseg - INFO - Iter [17000/160000] lr: 1.500e-04, eta: 9:49:36, time: 0.203, data_time: 0.008, memory: 52540, decode.loss_ce: 0.2065, decode.acc_seg: 91.7774, loss: 0.2065 +2023-03-05 01:40:36,438 - mmseg - INFO - Iter [17050/160000] lr: 1.500e-04, eta: 9:49:22, time: 0.243, data_time: 0.056, memory: 52540, decode.loss_ce: 0.2148, decode.acc_seg: 91.2072, loss: 0.2148 +2023-03-05 01:40:46,069 - mmseg - INFO - Iter [17100/160000] lr: 1.500e-04, eta: 9:48:46, time: 0.193, data_time: 0.007, memory: 52540, decode.loss_ce: 0.2165, decode.acc_seg: 91.2940, loss: 0.2165 +2023-03-05 01:40:55,874 - mmseg - INFO - Iter [17150/160000] lr: 1.500e-04, eta: 9:48:13, time: 0.196, data_time: 0.007, memory: 52540, decode.loss_ce: 0.2107, decode.acc_seg: 91.4514, loss: 0.2107 +2023-03-05 01:41:05,510 - mmseg - INFO - Iter [17200/160000] lr: 1.500e-04, eta: 9:47:38, time: 0.193, data_time: 0.007, memory: 52540, decode.loss_ce: 0.2097, decode.acc_seg: 91.4148, loss: 0.2097 +2023-03-05 01:41:15,042 - mmseg - INFO - Iter [17250/160000] lr: 1.500e-04, eta: 9:47:02, time: 0.191, data_time: 0.007, memory: 52540, decode.loss_ce: 0.2187, decode.acc_seg: 91.1787, loss: 0.2187 +2023-03-05 01:41:24,945 - mmseg - INFO - Iter [17300/160000] lr: 1.500e-04, eta: 9:46:30, time: 0.198, data_time: 0.007, memory: 52540, decode.loss_ce: 0.2040, decode.acc_seg: 91.6985, loss: 0.2040 +2023-03-05 01:41:34,667 - mmseg - INFO - Iter [17350/160000] lr: 1.500e-04, eta: 9:45:56, time: 0.194, data_time: 0.008, memory: 52540, decode.loss_ce: 0.2011, decode.acc_seg: 91.7688, loss: 0.2011 +2023-03-05 01:41:44,315 - mmseg - INFO - Iter [17400/160000] lr: 1.500e-04, eta: 9:45:22, time: 0.193, data_time: 0.008, memory: 52540, decode.loss_ce: 0.2120, decode.acc_seg: 91.2396, loss: 0.2120 +2023-03-05 01:41:54,271 - mmseg - INFO - Iter [17450/160000] lr: 1.500e-04, eta: 9:44:50, time: 0.199, data_time: 0.008, memory: 52540, decode.loss_ce: 0.2091, decode.acc_seg: 91.4912, loss: 0.2091 +2023-03-05 01:42:04,175 - mmseg - INFO - Iter [17500/160000] lr: 1.500e-04, eta: 9:44:18, time: 0.198, data_time: 0.007, memory: 52540, decode.loss_ce: 0.2030, decode.acc_seg: 91.6164, loss: 0.2030 +2023-03-05 01:42:13,680 - mmseg - INFO - Iter [17550/160000] lr: 1.500e-04, eta: 9:43:43, time: 0.190, data_time: 0.007, memory: 52540, decode.loss_ce: 0.2066, decode.acc_seg: 91.4197, loss: 0.2066 +2023-03-05 01:42:23,226 - mmseg - INFO - Iter [17600/160000] lr: 1.500e-04, eta: 9:43:09, time: 0.191, data_time: 0.007, memory: 52540, decode.loss_ce: 0.2131, decode.acc_seg: 91.2747, loss: 0.2131 +2023-03-05 01:42:33,001 - mmseg - INFO - Iter [17650/160000] lr: 1.500e-04, eta: 9:42:36, time: 0.195, data_time: 0.008, memory: 52540, decode.loss_ce: 0.2108, decode.acc_seg: 91.3469, loss: 0.2108 +2023-03-05 01:42:45,089 - mmseg - INFO - Iter [17700/160000] lr: 1.500e-04, eta: 9:42:22, time: 0.242, data_time: 0.053, memory: 52540, decode.loss_ce: 0.2098, decode.acc_seg: 91.4198, loss: 0.2098 +2023-03-05 01:42:54,736 - mmseg - INFO - Iter [17750/160000] lr: 1.500e-04, eta: 9:41:49, time: 0.193, data_time: 0.007, memory: 52540, decode.loss_ce: 0.2113, decode.acc_seg: 91.4363, loss: 0.2113 +2023-03-05 01:43:04,494 - mmseg - INFO - Iter [17800/160000] lr: 1.500e-04, eta: 9:41:17, time: 0.195, data_time: 0.007, memory: 52540, decode.loss_ce: 0.2090, decode.acc_seg: 91.4014, loss: 0.2090 +2023-03-05 01:43:14,045 - mmseg - INFO - Iter [17850/160000] lr: 1.500e-04, eta: 9:40:43, time: 0.191, data_time: 0.008, memory: 52540, decode.loss_ce: 0.2128, decode.acc_seg: 91.3367, loss: 0.2128 +2023-03-05 01:43:23,591 - mmseg - INFO - Iter [17900/160000] lr: 1.500e-04, eta: 9:40:09, time: 0.191, data_time: 0.007, memory: 52540, decode.loss_ce: 0.2088, decode.acc_seg: 91.3415, loss: 0.2088 +2023-03-05 01:43:33,200 - mmseg - INFO - Iter [17950/160000] lr: 1.500e-04, eta: 9:39:36, time: 0.192, data_time: 0.007, memory: 52540, decode.loss_ce: 0.2125, decode.acc_seg: 91.4185, loss: 0.2125 +2023-03-05 01:43:43,034 - mmseg - INFO - Exp name: ablation_segformer_mit_b2_segformer_head_unet_fc_small_multi_step_ade_pretrained_freeze_embed_160k_ade20k151_mask_finetune_maskreplace.py +2023-03-05 01:43:43,034 - mmseg - INFO - Iter [18000/160000] lr: 1.500e-04, eta: 9:39:05, time: 0.197, data_time: 0.007, memory: 52540, decode.loss_ce: 0.2141, decode.acc_seg: 91.2108, loss: 0.2141 +2023-03-05 01:43:52,653 - mmseg - INFO - Iter [18050/160000] lr: 1.500e-04, eta: 9:38:32, time: 0.192, data_time: 0.007, memory: 52540, decode.loss_ce: 0.2103, decode.acc_seg: 91.3913, loss: 0.2103 +2023-03-05 01:44:02,829 - mmseg - INFO - Iter [18100/160000] lr: 1.500e-04, eta: 9:38:04, time: 0.204, data_time: 0.007, memory: 52540, decode.loss_ce: 0.2107, decode.acc_seg: 91.6039, loss: 0.2107 +2023-03-05 01:44:12,475 - mmseg - INFO - Iter [18150/160000] lr: 1.500e-04, eta: 9:37:31, time: 0.193, data_time: 0.008, memory: 52540, decode.loss_ce: 0.2066, decode.acc_seg: 91.4778, loss: 0.2066 +2023-03-05 01:44:22,523 - mmseg - INFO - Iter [18200/160000] lr: 1.500e-04, eta: 9:37:02, time: 0.201, data_time: 0.007, memory: 52540, decode.loss_ce: 0.2178, decode.acc_seg: 91.2333, loss: 0.2178 +2023-03-05 01:44:32,295 - mmseg - INFO - Iter [18250/160000] lr: 1.500e-04, eta: 9:36:31, time: 0.195, data_time: 0.007, memory: 52540, decode.loss_ce: 0.2188, decode.acc_seg: 91.0701, loss: 0.2188 +2023-03-05 01:44:44,416 - mmseg - INFO - Iter [18300/160000] lr: 1.500e-04, eta: 9:36:18, time: 0.242, data_time: 0.058, memory: 52540, decode.loss_ce: 0.2086, decode.acc_seg: 91.2363, loss: 0.2086 +2023-03-05 01:44:54,089 - mmseg - INFO - Iter [18350/160000] lr: 1.500e-04, eta: 9:35:46, time: 0.193, data_time: 0.007, memory: 52540, decode.loss_ce: 0.2170, decode.acc_seg: 91.1920, loss: 0.2170 +2023-03-05 01:45:03,959 - mmseg - INFO - Iter [18400/160000] lr: 1.500e-04, eta: 9:35:16, time: 0.197, data_time: 0.007, memory: 52540, decode.loss_ce: 0.2126, decode.acc_seg: 91.4744, loss: 0.2126 +2023-03-05 01:45:13,667 - mmseg - INFO - Iter [18450/160000] lr: 1.500e-04, eta: 9:34:45, time: 0.194, data_time: 0.007, memory: 52540, decode.loss_ce: 0.2160, decode.acc_seg: 91.1483, loss: 0.2160 +2023-03-05 01:45:23,669 - mmseg - INFO - Iter [18500/160000] lr: 1.500e-04, eta: 9:34:16, time: 0.200, data_time: 0.008, memory: 52540, decode.loss_ce: 0.2070, decode.acc_seg: 91.4083, loss: 0.2070 +2023-03-05 01:45:33,476 - mmseg - INFO - Iter [18550/160000] lr: 1.500e-04, eta: 9:33:46, time: 0.196, data_time: 0.007, memory: 52540, decode.loss_ce: 0.2061, decode.acc_seg: 91.6559, loss: 0.2061 +2023-03-05 01:45:43,118 - mmseg - INFO - Iter [18600/160000] lr: 1.500e-04, eta: 9:33:15, time: 0.193, data_time: 0.007, memory: 52540, decode.loss_ce: 0.2074, decode.acc_seg: 91.4634, loss: 0.2074 +2023-03-05 01:45:52,800 - mmseg - INFO - Iter [18650/160000] lr: 1.500e-04, eta: 9:32:44, time: 0.194, data_time: 0.007, memory: 52540, decode.loss_ce: 0.2139, decode.acc_seg: 91.0596, loss: 0.2139 +2023-03-05 01:46:02,483 - mmseg - INFO - Iter [18700/160000] lr: 1.500e-04, eta: 9:32:13, time: 0.194, data_time: 0.007, memory: 52540, decode.loss_ce: 0.2140, decode.acc_seg: 91.2359, loss: 0.2140 +2023-03-05 01:46:12,095 - mmseg - INFO - Iter [18750/160000] lr: 1.500e-04, eta: 9:31:42, time: 0.192, data_time: 0.007, memory: 52540, decode.loss_ce: 0.2149, decode.acc_seg: 91.2220, loss: 0.2149 +2023-03-05 01:46:21,726 - mmseg - INFO - Iter [18800/160000] lr: 1.500e-04, eta: 9:31:11, time: 0.193, data_time: 0.007, memory: 52540, decode.loss_ce: 0.2159, decode.acc_seg: 91.3464, loss: 0.2159 +2023-03-05 01:46:31,257 - mmseg - INFO - Iter [18850/160000] lr: 1.500e-04, eta: 9:30:39, time: 0.191, data_time: 0.007, memory: 52540, decode.loss_ce: 0.2080, decode.acc_seg: 91.5476, loss: 0.2080 +2023-03-05 01:46:41,162 - mmseg - INFO - Iter [18900/160000] lr: 1.500e-04, eta: 9:30:10, time: 0.198, data_time: 0.007, memory: 52540, decode.loss_ce: 0.2157, decode.acc_seg: 91.2935, loss: 0.2157 +2023-03-05 01:46:53,326 - mmseg - INFO - Iter [18950/160000] lr: 1.500e-04, eta: 9:29:58, time: 0.244, data_time: 0.057, memory: 52540, decode.loss_ce: 0.2038, decode.acc_seg: 91.7856, loss: 0.2038 +2023-03-05 01:47:03,079 - mmseg - INFO - Exp name: ablation_segformer_mit_b2_segformer_head_unet_fc_small_multi_step_ade_pretrained_freeze_embed_160k_ade20k151_mask_finetune_maskreplace.py +2023-03-05 01:47:03,079 - mmseg - INFO - Iter [19000/160000] lr: 1.500e-04, eta: 9:29:29, time: 0.195, data_time: 0.007, memory: 52540, decode.loss_ce: 0.2043, decode.acc_seg: 91.4562, loss: 0.2043 +2023-03-05 01:47:12,911 - mmseg - INFO - Iter [19050/160000] lr: 1.500e-04, eta: 9:29:00, time: 0.197, data_time: 0.007, memory: 52540, decode.loss_ce: 0.2136, decode.acc_seg: 91.3133, loss: 0.2136 +2023-03-05 01:47:22,809 - mmseg - INFO - Iter [19100/160000] lr: 1.500e-04, eta: 9:28:31, time: 0.198, data_time: 0.007, memory: 52540, decode.loss_ce: 0.2090, decode.acc_seg: 91.4676, loss: 0.2090 +2023-03-05 01:47:32,816 - mmseg - INFO - Iter [19150/160000] lr: 1.500e-04, eta: 9:28:04, time: 0.200, data_time: 0.007, memory: 52540, decode.loss_ce: 0.2145, decode.acc_seg: 91.1589, loss: 0.2145 +2023-03-05 01:47:42,995 - mmseg - INFO - Iter [19200/160000] lr: 1.500e-04, eta: 9:27:37, time: 0.203, data_time: 0.007, memory: 52540, decode.loss_ce: 0.2191, decode.acc_seg: 91.1149, loss: 0.2191 +2023-03-05 01:47:53,095 - mmseg - INFO - Iter [19250/160000] lr: 1.500e-04, eta: 9:27:11, time: 0.202, data_time: 0.008, memory: 52540, decode.loss_ce: 0.2176, decode.acc_seg: 91.0668, loss: 0.2176 +2023-03-05 01:48:02,805 - mmseg - INFO - Iter [19300/160000] lr: 1.500e-04, eta: 9:26:41, time: 0.194, data_time: 0.008, memory: 52540, decode.loss_ce: 0.2130, decode.acc_seg: 91.2830, loss: 0.2130 +2023-03-05 01:48:12,420 - mmseg - INFO - Iter [19350/160000] lr: 1.500e-04, eta: 9:26:11, time: 0.192, data_time: 0.007, memory: 52540, decode.loss_ce: 0.2077, decode.acc_seg: 91.5789, loss: 0.2077 +2023-03-05 01:48:22,069 - mmseg - INFO - Iter [19400/160000] lr: 1.500e-04, eta: 9:25:42, time: 0.193, data_time: 0.007, memory: 52540, decode.loss_ce: 0.2104, decode.acc_seg: 91.3824, loss: 0.2104 +2023-03-05 01:48:31,676 - mmseg - INFO - Iter [19450/160000] lr: 1.500e-04, eta: 9:25:12, time: 0.192, data_time: 0.007, memory: 52540, decode.loss_ce: 0.2173, decode.acc_seg: 91.0815, loss: 0.2173 +2023-03-05 01:48:41,357 - mmseg - INFO - Iter [19500/160000] lr: 1.500e-04, eta: 9:24:43, time: 0.194, data_time: 0.008, memory: 52540, decode.loss_ce: 0.2069, decode.acc_seg: 91.6299, loss: 0.2069 +2023-03-05 01:48:50,943 - mmseg - INFO - Iter [19550/160000] lr: 1.500e-04, eta: 9:24:13, time: 0.192, data_time: 0.007, memory: 52540, decode.loss_ce: 0.2053, decode.acc_seg: 91.7365, loss: 0.2053 +2023-03-05 01:49:03,083 - mmseg - INFO - Iter [19600/160000] lr: 1.500e-04, eta: 9:24:01, time: 0.243, data_time: 0.055, memory: 52540, decode.loss_ce: 0.2106, decode.acc_seg: 91.4214, loss: 0.2106 +2023-03-05 01:49:12,750 - mmseg - INFO - Iter [19650/160000] lr: 1.500e-04, eta: 9:23:32, time: 0.193, data_time: 0.007, memory: 52540, decode.loss_ce: 0.2087, decode.acc_seg: 91.5586, loss: 0.2087 +2023-03-05 01:49:22,338 - mmseg - INFO - Iter [19700/160000] lr: 1.500e-04, eta: 9:23:03, time: 0.192, data_time: 0.007, memory: 52540, decode.loss_ce: 0.2136, decode.acc_seg: 91.2849, loss: 0.2136 +2023-03-05 01:49:31,892 - mmseg - INFO - Iter [19750/160000] lr: 1.500e-04, eta: 9:22:33, time: 0.191, data_time: 0.007, memory: 52540, decode.loss_ce: 0.2144, decode.acc_seg: 91.4039, loss: 0.2144 +2023-03-05 01:49:41,567 - mmseg - INFO - Iter [19800/160000] lr: 1.500e-04, eta: 9:22:04, time: 0.194, data_time: 0.007, memory: 52540, decode.loss_ce: 0.2090, decode.acc_seg: 91.4836, loss: 0.2090 +2023-03-05 01:49:51,271 - mmseg - INFO - Iter [19850/160000] lr: 1.500e-04, eta: 9:21:36, time: 0.194, data_time: 0.008, memory: 52540, decode.loss_ce: 0.2076, decode.acc_seg: 91.6194, loss: 0.2076 +2023-03-05 01:50:01,059 - mmseg - INFO - Iter [19900/160000] lr: 1.500e-04, eta: 9:21:08, time: 0.196, data_time: 0.007, memory: 52540, decode.loss_ce: 0.2105, decode.acc_seg: 91.3934, loss: 0.2105 +2023-03-05 01:50:10,719 - mmseg - INFO - Iter [19950/160000] lr: 1.500e-04, eta: 9:20:39, time: 0.193, data_time: 0.008, memory: 52540, decode.loss_ce: 0.1999, decode.acc_seg: 91.8050, loss: 0.1999 +2023-03-05 01:50:20,311 - mmseg - INFO - Exp name: ablation_segformer_mit_b2_segformer_head_unet_fc_small_multi_step_ade_pretrained_freeze_embed_160k_ade20k151_mask_finetune_maskreplace.py +2023-03-05 01:50:20,311 - mmseg - INFO - Iter [20000/160000] lr: 1.500e-04, eta: 9:20:11, time: 0.192, data_time: 0.007, memory: 52540, decode.loss_ce: 0.2127, decode.acc_seg: 91.4190, loss: 0.2127 +2023-03-05 01:50:29,938 - mmseg - INFO - Iter [20050/160000] lr: 7.500e-05, eta: 9:19:42, time: 0.193, data_time: 0.007, memory: 52540, decode.loss_ce: 0.2035, decode.acc_seg: 91.6268, loss: 0.2035 +2023-03-05 01:50:39,460 - mmseg - INFO - Iter [20100/160000] lr: 7.500e-05, eta: 9:19:13, time: 0.190, data_time: 0.007, memory: 52540, decode.loss_ce: 0.2010, decode.acc_seg: 91.6544, loss: 0.2010 +2023-03-05 01:50:49,301 - mmseg - INFO - Iter [20150/160000] lr: 7.500e-05, eta: 9:18:46, time: 0.197, data_time: 0.007, memory: 52540, decode.loss_ce: 0.2021, decode.acc_seg: 91.7280, loss: 0.2021 +2023-03-05 01:51:01,581 - mmseg - INFO - Iter [20200/160000] lr: 7.500e-05, eta: 9:18:36, time: 0.246, data_time: 0.054, memory: 52540, decode.loss_ce: 0.2106, decode.acc_seg: 91.5061, loss: 0.2106 +2023-03-05 01:51:11,480 - mmseg - INFO - Iter [20250/160000] lr: 7.500e-05, eta: 9:18:09, time: 0.198, data_time: 0.007, memory: 52540, decode.loss_ce: 0.2088, decode.acc_seg: 91.5835, loss: 0.2088 +2023-03-05 01:51:21,270 - mmseg - INFO - Iter [20300/160000] lr: 7.500e-05, eta: 9:17:42, time: 0.196, data_time: 0.007, memory: 52540, decode.loss_ce: 0.2005, decode.acc_seg: 91.8804, loss: 0.2005 +2023-03-05 01:51:31,182 - mmseg - INFO - Iter [20350/160000] lr: 7.500e-05, eta: 9:17:16, time: 0.198, data_time: 0.007, memory: 52540, decode.loss_ce: 0.2004, decode.acc_seg: 91.7004, loss: 0.2004 +2023-03-05 01:51:41,127 - mmseg - INFO - Iter [20400/160000] lr: 7.500e-05, eta: 9:16:50, time: 0.199, data_time: 0.007, memory: 52540, decode.loss_ce: 0.2067, decode.acc_seg: 91.6674, loss: 0.2067 +2023-03-05 01:51:50,968 - mmseg - INFO - Iter [20450/160000] lr: 7.500e-05, eta: 9:16:24, time: 0.197, data_time: 0.008, memory: 52540, decode.loss_ce: 0.2007, decode.acc_seg: 91.6757, loss: 0.2007 +2023-03-05 01:52:00,594 - mmseg - INFO - Iter [20500/160000] lr: 7.500e-05, eta: 9:15:56, time: 0.193, data_time: 0.008, memory: 52540, decode.loss_ce: 0.2055, decode.acc_seg: 91.6235, loss: 0.2055 +2023-03-05 01:52:10,295 - mmseg - INFO - Iter [20550/160000] lr: 7.500e-05, eta: 9:15:29, time: 0.194, data_time: 0.007, memory: 52540, decode.loss_ce: 0.2028, decode.acc_seg: 91.7291, loss: 0.2028 +2023-03-05 01:52:19,922 - mmseg - INFO - Iter [20600/160000] lr: 7.500e-05, eta: 9:15:01, time: 0.193, data_time: 0.007, memory: 52540, decode.loss_ce: 0.2051, decode.acc_seg: 91.5482, loss: 0.2051 +2023-03-05 01:52:29,458 - mmseg - INFO - Iter [20650/160000] lr: 7.500e-05, eta: 9:14:33, time: 0.191, data_time: 0.007, memory: 52540, decode.loss_ce: 0.2023, decode.acc_seg: 91.7798, loss: 0.2023 +2023-03-05 01:52:39,320 - mmseg - INFO - Iter [20700/160000] lr: 7.500e-05, eta: 9:14:07, time: 0.197, data_time: 0.007, memory: 52540, decode.loss_ce: 0.2038, decode.acc_seg: 91.7012, loss: 0.2038 +2023-03-05 01:52:48,952 - mmseg - INFO - Iter [20750/160000] lr: 7.500e-05, eta: 9:13:40, time: 0.193, data_time: 0.007, memory: 52540, decode.loss_ce: 0.2070, decode.acc_seg: 91.5077, loss: 0.2070 +2023-03-05 01:52:58,785 - mmseg - INFO - Iter [20800/160000] lr: 7.500e-05, eta: 9:13:14, time: 0.197, data_time: 0.007, memory: 52540, decode.loss_ce: 0.2066, decode.acc_seg: 91.4838, loss: 0.2066 +2023-03-05 01:53:10,944 - mmseg - INFO - Iter [20850/160000] lr: 7.500e-05, eta: 9:13:03, time: 0.243, data_time: 0.056, memory: 52540, decode.loss_ce: 0.1866, decode.acc_seg: 92.3891, loss: 0.1866 +2023-03-05 01:53:20,665 - mmseg - INFO - Iter [20900/160000] lr: 7.500e-05, eta: 9:12:37, time: 0.194, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1980, decode.acc_seg: 91.8984, loss: 0.1980 +2023-03-05 01:53:30,217 - mmseg - INFO - Iter [20950/160000] lr: 7.500e-05, eta: 9:12:09, time: 0.191, data_time: 0.007, memory: 52540, decode.loss_ce: 0.2046, decode.acc_seg: 91.7200, loss: 0.2046 +2023-03-05 01:53:39,798 - mmseg - INFO - Exp name: ablation_segformer_mit_b2_segformer_head_unet_fc_small_multi_step_ade_pretrained_freeze_embed_160k_ade20k151_mask_finetune_maskreplace.py +2023-03-05 01:53:39,798 - mmseg - INFO - Iter [21000/160000] lr: 7.500e-05, eta: 9:11:42, time: 0.192, data_time: 0.008, memory: 52540, decode.loss_ce: 0.2037, decode.acc_seg: 91.5781, loss: 0.2037 +2023-03-05 01:53:49,619 - mmseg - INFO - Iter [21050/160000] lr: 7.500e-05, eta: 9:11:16, time: 0.196, data_time: 0.008, memory: 52540, decode.loss_ce: 0.2100, decode.acc_seg: 91.4770, loss: 0.2100 +2023-03-05 01:53:59,524 - mmseg - INFO - Iter [21100/160000] lr: 7.500e-05, eta: 9:10:51, time: 0.198, data_time: 0.008, memory: 52540, decode.loss_ce: 0.1998, decode.acc_seg: 91.7968, loss: 0.1998 +2023-03-05 01:54:09,269 - mmseg - INFO - Iter [21150/160000] lr: 7.500e-05, eta: 9:10:25, time: 0.195, data_time: 0.007, memory: 52540, decode.loss_ce: 0.2012, decode.acc_seg: 91.9022, loss: 0.2012 +2023-03-05 01:54:18,856 - mmseg - INFO - Iter [21200/160000] lr: 7.500e-05, eta: 9:09:58, time: 0.192, data_time: 0.007, memory: 52540, decode.loss_ce: 0.2054, decode.acc_seg: 91.6790, loss: 0.2054 +2023-03-05 01:54:28,591 - mmseg - INFO - Iter [21250/160000] lr: 7.500e-05, eta: 9:09:32, time: 0.195, data_time: 0.008, memory: 52540, decode.loss_ce: 0.2062, decode.acc_seg: 91.3818, loss: 0.2062 +2023-03-05 01:54:38,111 - mmseg - INFO - Iter [21300/160000] lr: 7.500e-05, eta: 9:09:05, time: 0.190, data_time: 0.007, memory: 52540, decode.loss_ce: 0.2057, decode.acc_seg: 91.7465, loss: 0.2057 +2023-03-05 01:54:48,049 - mmseg - INFO - Iter [21350/160000] lr: 7.500e-05, eta: 9:08:40, time: 0.199, data_time: 0.007, memory: 52540, decode.loss_ce: 0.2057, decode.acc_seg: 91.7012, loss: 0.2057 +2023-03-05 01:54:57,861 - mmseg - INFO - Iter [21400/160000] lr: 7.500e-05, eta: 9:08:15, time: 0.196, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1987, decode.acc_seg: 91.7978, loss: 0.1987 +2023-03-05 01:55:07,552 - mmseg - INFO - Iter [21450/160000] lr: 7.500e-05, eta: 9:07:49, time: 0.194, data_time: 0.007, memory: 52540, decode.loss_ce: 0.2019, decode.acc_seg: 91.6895, loss: 0.2019 +2023-03-05 01:55:19,671 - mmseg - INFO - Iter [21500/160000] lr: 7.500e-05, eta: 9:07:39, time: 0.242, data_time: 0.056, memory: 52540, decode.loss_ce: 0.2009, decode.acc_seg: 91.7664, loss: 0.2009 +2023-03-05 01:55:29,413 - mmseg - INFO - Iter [21550/160000] lr: 7.500e-05, eta: 9:07:13, time: 0.195, data_time: 0.007, memory: 52540, decode.loss_ce: 0.2048, decode.acc_seg: 91.6318, loss: 0.2048 +2023-03-05 01:55:38,974 - mmseg - INFO - Iter [21600/160000] lr: 7.500e-05, eta: 9:06:47, time: 0.191, data_time: 0.008, memory: 52540, decode.loss_ce: 0.1972, decode.acc_seg: 91.8465, loss: 0.1972 +2023-03-05 01:55:48,694 - mmseg - INFO - Iter [21650/160000] lr: 7.500e-05, eta: 9:06:21, time: 0.194, data_time: 0.008, memory: 52540, decode.loss_ce: 0.1938, decode.acc_seg: 92.1413, loss: 0.1938 +2023-03-05 01:55:58,697 - mmseg - INFO - Iter [21700/160000] lr: 7.500e-05, eta: 9:05:58, time: 0.200, data_time: 0.007, memory: 52540, decode.loss_ce: 0.2053, decode.acc_seg: 91.5672, loss: 0.2053 +2023-03-05 01:56:08,427 - mmseg - INFO - Iter [21750/160000] lr: 7.500e-05, eta: 9:05:33, time: 0.195, data_time: 0.007, memory: 52540, decode.loss_ce: 0.2054, decode.acc_seg: 91.7597, loss: 0.2054 +2023-03-05 01:56:17,927 - mmseg - INFO - Iter [21800/160000] lr: 7.500e-05, eta: 9:05:06, time: 0.190, data_time: 0.007, memory: 52540, decode.loss_ce: 0.2093, decode.acc_seg: 91.5220, loss: 0.2093 +2023-03-05 01:56:27,580 - mmseg - INFO - Iter [21850/160000] lr: 7.500e-05, eta: 9:04:40, time: 0.193, data_time: 0.008, memory: 52540, decode.loss_ce: 0.2012, decode.acc_seg: 91.8100, loss: 0.2012 +2023-03-05 01:56:37,112 - mmseg - INFO - Iter [21900/160000] lr: 7.500e-05, eta: 9:04:14, time: 0.191, data_time: 0.007, memory: 52540, decode.loss_ce: 0.2065, decode.acc_seg: 91.4936, loss: 0.2065 +2023-03-05 01:56:46,662 - mmseg - INFO - Iter [21950/160000] lr: 7.500e-05, eta: 9:03:48, time: 0.191, data_time: 0.007, memory: 52540, decode.loss_ce: 0.2034, decode.acc_seg: 91.7872, loss: 0.2034 +2023-03-05 01:56:56,468 - mmseg - INFO - Exp name: ablation_segformer_mit_b2_segformer_head_unet_fc_small_multi_step_ade_pretrained_freeze_embed_160k_ade20k151_mask_finetune_maskreplace.py +2023-03-05 01:56:56,468 - mmseg - INFO - Iter [22000/160000] lr: 7.500e-05, eta: 9:03:23, time: 0.196, data_time: 0.007, memory: 52540, decode.loss_ce: 0.2010, decode.acc_seg: 91.6505, loss: 0.2010 +2023-03-05 01:57:06,227 - mmseg - INFO - Iter [22050/160000] lr: 7.500e-05, eta: 9:02:59, time: 0.195, data_time: 0.007, memory: 52540, decode.loss_ce: 0.2018, decode.acc_seg: 91.7760, loss: 0.2018 +2023-03-05 01:57:18,706 - mmseg - INFO - Iter [22100/160000] lr: 7.500e-05, eta: 9:02:51, time: 0.250, data_time: 0.059, memory: 52540, decode.loss_ce: 0.1961, decode.acc_seg: 91.8800, loss: 0.1961 +2023-03-05 01:57:28,529 - mmseg - INFO - Iter [22150/160000] lr: 7.500e-05, eta: 9:02:27, time: 0.197, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1993, decode.acc_seg: 91.7065, loss: 0.1993 +2023-03-05 01:57:38,171 - mmseg - INFO - Iter [22200/160000] lr: 7.500e-05, eta: 9:02:02, time: 0.193, data_time: 0.007, memory: 52540, decode.loss_ce: 0.2020, decode.acc_seg: 91.7242, loss: 0.2020 +2023-03-05 01:57:47,710 - mmseg - INFO - Iter [22250/160000] lr: 7.500e-05, eta: 9:01:36, time: 0.191, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1968, decode.acc_seg: 91.8411, loss: 0.1968 +2023-03-05 01:57:57,263 - mmseg - INFO - Iter [22300/160000] lr: 7.500e-05, eta: 9:01:10, time: 0.191, data_time: 0.007, memory: 52540, decode.loss_ce: 0.2004, decode.acc_seg: 91.7116, loss: 0.2004 +2023-03-05 01:58:06,907 - mmseg - INFO - Iter [22350/160000] lr: 7.500e-05, eta: 9:00:45, time: 0.193, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1949, decode.acc_seg: 92.0090, loss: 0.1949 +2023-03-05 01:58:16,739 - mmseg - INFO - Iter [22400/160000] lr: 7.500e-05, eta: 9:00:21, time: 0.197, data_time: 0.007, memory: 52540, decode.loss_ce: 0.2101, decode.acc_seg: 91.5141, loss: 0.2101 +2023-03-05 01:58:26,474 - mmseg - INFO - Iter [22450/160000] lr: 7.500e-05, eta: 8:59:57, time: 0.195, data_time: 0.007, memory: 52540, decode.loss_ce: 0.2004, decode.acc_seg: 91.7274, loss: 0.2004 +2023-03-05 01:58:36,123 - mmseg - INFO - Iter [22500/160000] lr: 7.500e-05, eta: 8:59:32, time: 0.193, data_time: 0.008, memory: 52540, decode.loss_ce: 0.2030, decode.acc_seg: 91.6244, loss: 0.2030 +2023-03-05 01:58:45,891 - mmseg - INFO - Iter [22550/160000] lr: 7.500e-05, eta: 8:59:08, time: 0.195, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1960, decode.acc_seg: 91.9228, loss: 0.1960 +2023-03-05 01:58:55,840 - mmseg - INFO - Iter [22600/160000] lr: 7.500e-05, eta: 8:58:45, time: 0.199, data_time: 0.008, memory: 52540, decode.loss_ce: 0.2060, decode.acc_seg: 91.6585, loss: 0.2060 +2023-03-05 01:59:05,662 - mmseg - INFO - Iter [22650/160000] lr: 7.500e-05, eta: 8:58:22, time: 0.197, data_time: 0.008, memory: 52540, decode.loss_ce: 0.2003, decode.acc_seg: 91.7461, loss: 0.2003 +2023-03-05 01:59:15,377 - mmseg - INFO - Iter [22700/160000] lr: 7.500e-05, eta: 8:57:58, time: 0.194, data_time: 0.007, memory: 52540, decode.loss_ce: 0.2052, decode.acc_seg: 91.6333, loss: 0.2052 +2023-03-05 01:59:27,749 - mmseg - INFO - Iter [22750/160000] lr: 7.500e-05, eta: 8:57:50, time: 0.247, data_time: 0.054, memory: 52540, decode.loss_ce: 0.2035, decode.acc_seg: 91.7119, loss: 0.2035 +2023-03-05 01:59:37,381 - mmseg - INFO - Iter [22800/160000] lr: 7.500e-05, eta: 8:57:25, time: 0.193, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1992, decode.acc_seg: 91.7372, loss: 0.1992 +2023-03-05 01:59:47,157 - mmseg - INFO - Iter [22850/160000] lr: 7.500e-05, eta: 8:57:02, time: 0.195, data_time: 0.008, memory: 52540, decode.loss_ce: 0.2089, decode.acc_seg: 91.4265, loss: 0.2089 +2023-03-05 01:59:56,667 - mmseg - INFO - Iter [22900/160000] lr: 7.500e-05, eta: 8:56:37, time: 0.190, data_time: 0.008, memory: 52540, decode.loss_ce: 0.2063, decode.acc_seg: 91.6951, loss: 0.2063 +2023-03-05 02:00:06,310 - mmseg - INFO - Iter [22950/160000] lr: 7.500e-05, eta: 8:56:12, time: 0.193, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1966, decode.acc_seg: 91.8779, loss: 0.1966 +2023-03-05 02:00:16,088 - mmseg - INFO - Exp name: ablation_segformer_mit_b2_segformer_head_unet_fc_small_multi_step_ade_pretrained_freeze_embed_160k_ade20k151_mask_finetune_maskreplace.py +2023-03-05 02:00:16,088 - mmseg - INFO - Iter [23000/160000] lr: 7.500e-05, eta: 8:55:49, time: 0.196, data_time: 0.007, memory: 52540, decode.loss_ce: 0.2022, decode.acc_seg: 91.6846, loss: 0.2022 +2023-03-05 02:00:26,024 - mmseg - INFO - Iter [23050/160000] lr: 7.500e-05, eta: 8:55:26, time: 0.198, data_time: 0.007, memory: 52540, decode.loss_ce: 0.2022, decode.acc_seg: 91.9254, loss: 0.2022 +2023-03-05 02:00:35,698 - mmseg - INFO - Iter [23100/160000] lr: 7.500e-05, eta: 8:55:03, time: 0.194, data_time: 0.008, memory: 52540, decode.loss_ce: 0.1982, decode.acc_seg: 92.0137, loss: 0.1982 +2023-03-05 02:00:45,712 - mmseg - INFO - Iter [23150/160000] lr: 7.500e-05, eta: 8:54:41, time: 0.200, data_time: 0.008, memory: 52540, decode.loss_ce: 0.1961, decode.acc_seg: 91.8907, loss: 0.1961 +2023-03-05 02:00:55,327 - mmseg - INFO - Iter [23200/160000] lr: 7.500e-05, eta: 8:54:17, time: 0.192, data_time: 0.007, memory: 52540, decode.loss_ce: 0.2142, decode.acc_seg: 91.3308, loss: 0.2142 +2023-03-05 02:01:04,928 - mmseg - INFO - Iter [23250/160000] lr: 7.500e-05, eta: 8:53:52, time: 0.192, data_time: 0.007, memory: 52540, decode.loss_ce: 0.2136, decode.acc_seg: 91.3424, loss: 0.2136 +2023-03-05 02:01:14,775 - mmseg - INFO - Iter [23300/160000] lr: 7.500e-05, eta: 8:53:30, time: 0.197, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1953, decode.acc_seg: 91.9371, loss: 0.1953 +2023-03-05 02:01:26,855 - mmseg - INFO - Iter [23350/160000] lr: 7.500e-05, eta: 8:53:20, time: 0.242, data_time: 0.053, memory: 52540, decode.loss_ce: 0.2118, decode.acc_seg: 91.2792, loss: 0.2118 +2023-03-05 02:01:36,974 - mmseg - INFO - Iter [23400/160000] lr: 7.500e-05, eta: 8:52:59, time: 0.202, data_time: 0.007, memory: 52540, decode.loss_ce: 0.2048, decode.acc_seg: 91.6234, loss: 0.2048 +2023-03-05 02:01:46,751 - mmseg - INFO - Iter [23450/160000] lr: 7.500e-05, eta: 8:52:36, time: 0.196, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1968, decode.acc_seg: 91.9765, loss: 0.1968 +2023-03-05 02:01:56,588 - mmseg - INFO - Iter [23500/160000] lr: 7.500e-05, eta: 8:52:14, time: 0.197, data_time: 0.007, memory: 52540, decode.loss_ce: 0.2047, decode.acc_seg: 91.7147, loss: 0.2047 +2023-03-05 02:02:06,306 - mmseg - INFO - Iter [23550/160000] lr: 7.500e-05, eta: 8:51:51, time: 0.194, data_time: 0.007, memory: 52540, decode.loss_ce: 0.2015, decode.acc_seg: 91.7437, loss: 0.2015 +2023-03-05 02:02:15,936 - mmseg - INFO - Iter [23600/160000] lr: 7.500e-05, eta: 8:51:27, time: 0.192, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1983, decode.acc_seg: 91.7938, loss: 0.1983 +2023-03-05 02:02:25,832 - mmseg - INFO - Iter [23650/160000] lr: 7.500e-05, eta: 8:51:05, time: 0.198, data_time: 0.008, memory: 52540, decode.loss_ce: 0.2052, decode.acc_seg: 91.6218, loss: 0.2052 +2023-03-05 02:02:35,421 - mmseg - INFO - Iter [23700/160000] lr: 7.500e-05, eta: 8:50:41, time: 0.192, data_time: 0.008, memory: 52540, decode.loss_ce: 0.2016, decode.acc_seg: 91.7229, loss: 0.2016 +2023-03-05 02:02:45,156 - mmseg - INFO - Iter [23750/160000] lr: 7.500e-05, eta: 8:50:18, time: 0.195, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1949, decode.acc_seg: 91.9494, loss: 0.1949 +2023-03-05 02:02:54,866 - mmseg - INFO - Iter [23800/160000] lr: 7.500e-05, eta: 8:49:55, time: 0.194, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1958, decode.acc_seg: 92.0230, loss: 0.1958 +2023-03-05 02:03:04,457 - mmseg - INFO - Iter [23850/160000] lr: 7.500e-05, eta: 8:49:32, time: 0.192, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1958, decode.acc_seg: 91.9585, loss: 0.1958 +2023-03-05 02:03:14,234 - mmseg - INFO - Iter [23900/160000] lr: 7.500e-05, eta: 8:49:09, time: 0.196, data_time: 0.007, memory: 52540, decode.loss_ce: 0.2028, decode.acc_seg: 91.4788, loss: 0.2028 +2023-03-05 02:03:23,794 - mmseg - INFO - Iter [23950/160000] lr: 7.500e-05, eta: 8:48:46, time: 0.191, data_time: 0.007, memory: 52540, decode.loss_ce: 0.2101, decode.acc_seg: 91.4833, loss: 0.2101 +2023-03-05 02:03:36,102 - mmseg - INFO - Exp name: ablation_segformer_mit_b2_segformer_head_unet_fc_small_multi_step_ade_pretrained_freeze_embed_160k_ade20k151_mask_finetune_maskreplace.py +2023-03-05 02:03:36,103 - mmseg - INFO - Iter [24000/160000] lr: 7.500e-05, eta: 8:48:38, time: 0.246, data_time: 0.056, memory: 52540, decode.loss_ce: 0.2046, decode.acc_seg: 91.6474, loss: 0.2046 +2023-03-05 02:03:45,769 - mmseg - INFO - Iter [24050/160000] lr: 7.500e-05, eta: 8:48:15, time: 0.194, data_time: 0.007, memory: 52540, decode.loss_ce: 0.2061, decode.acc_seg: 91.6211, loss: 0.2061 +2023-03-05 02:03:55,445 - mmseg - INFO - Iter [24100/160000] lr: 7.500e-05, eta: 8:47:52, time: 0.194, data_time: 0.008, memory: 52540, decode.loss_ce: 0.1978, decode.acc_seg: 91.8376, loss: 0.1978 +2023-03-05 02:04:05,069 - mmseg - INFO - Iter [24150/160000] lr: 7.500e-05, eta: 8:47:29, time: 0.192, data_time: 0.007, memory: 52540, decode.loss_ce: 0.2100, decode.acc_seg: 91.5354, loss: 0.2100 +2023-03-05 02:04:14,914 - mmseg - INFO - Iter [24200/160000] lr: 7.500e-05, eta: 8:47:07, time: 0.197, data_time: 0.007, memory: 52540, decode.loss_ce: 0.2035, decode.acc_seg: 91.4083, loss: 0.2035 +2023-03-05 02:04:24,615 - mmseg - INFO - Iter [24250/160000] lr: 7.500e-05, eta: 8:46:45, time: 0.194, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1916, decode.acc_seg: 92.0354, loss: 0.1916 +2023-03-05 02:04:34,398 - mmseg - INFO - Iter [24300/160000] lr: 7.500e-05, eta: 8:46:23, time: 0.196, data_time: 0.007, memory: 52540, decode.loss_ce: 0.2010, decode.acc_seg: 91.8571, loss: 0.2010 +2023-03-05 02:04:44,101 - mmseg - INFO - Iter [24350/160000] lr: 7.500e-05, eta: 8:46:00, time: 0.194, data_time: 0.007, memory: 52540, decode.loss_ce: 0.2189, decode.acc_seg: 91.3320, loss: 0.2189 +2023-03-05 02:04:53,835 - mmseg - INFO - Iter [24400/160000] lr: 7.500e-05, eta: 8:45:38, time: 0.195, data_time: 0.007, memory: 52540, decode.loss_ce: 0.2026, decode.acc_seg: 91.7208, loss: 0.2026 +2023-03-05 02:05:03,372 - mmseg - INFO - Iter [24450/160000] lr: 7.500e-05, eta: 8:45:15, time: 0.191, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1966, decode.acc_seg: 91.9305, loss: 0.1966 +2023-03-05 02:05:13,692 - mmseg - INFO - Iter [24500/160000] lr: 7.500e-05, eta: 8:44:56, time: 0.206, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1973, decode.acc_seg: 91.9002, loss: 0.1973 +2023-03-05 02:05:23,661 - mmseg - INFO - Iter [24550/160000] lr: 7.500e-05, eta: 8:44:35, time: 0.199, data_time: 0.008, memory: 52540, decode.loss_ce: 0.1970, decode.acc_seg: 91.6900, loss: 0.1970 +2023-03-05 02:05:33,527 - mmseg - INFO - Iter [24600/160000] lr: 7.500e-05, eta: 8:44:14, time: 0.198, data_time: 0.007, memory: 52540, decode.loss_ce: 0.2001, decode.acc_seg: 91.7641, loss: 0.2001 +2023-03-05 02:05:45,911 - mmseg - INFO - Iter [24650/160000] lr: 7.500e-05, eta: 8:44:06, time: 0.247, data_time: 0.058, memory: 52540, decode.loss_ce: 0.1998, decode.acc_seg: 91.8639, loss: 0.1998 +2023-03-05 02:05:55,558 - mmseg - INFO - Iter [24700/160000] lr: 7.500e-05, eta: 8:43:44, time: 0.193, data_time: 0.008, memory: 52540, decode.loss_ce: 0.2058, decode.acc_seg: 91.5747, loss: 0.2058 +2023-03-05 02:06:05,643 - mmseg - INFO - Iter [24750/160000] lr: 7.500e-05, eta: 8:43:24, time: 0.202, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1959, decode.acc_seg: 91.9195, loss: 0.1959 +2023-03-05 02:06:15,331 - mmseg - INFO - Iter [24800/160000] lr: 7.500e-05, eta: 8:43:02, time: 0.194, data_time: 0.007, memory: 52540, decode.loss_ce: 0.2066, decode.acc_seg: 91.5493, loss: 0.2066 +2023-03-05 02:06:24,863 - mmseg - INFO - Iter [24850/160000] lr: 7.500e-05, eta: 8:42:39, time: 0.191, data_time: 0.007, memory: 52540, decode.loss_ce: 0.2012, decode.acc_seg: 91.8533, loss: 0.2012 +2023-03-05 02:06:34,511 - mmseg - INFO - Iter [24900/160000] lr: 7.500e-05, eta: 8:42:17, time: 0.193, data_time: 0.007, memory: 52540, decode.loss_ce: 0.2017, decode.acc_seg: 91.7705, loss: 0.2017 +2023-03-05 02:06:44,298 - mmseg - INFO - Iter [24950/160000] lr: 7.500e-05, eta: 8:41:56, time: 0.196, data_time: 0.007, memory: 52540, decode.loss_ce: 0.2047, decode.acc_seg: 91.7034, loss: 0.2047 +2023-03-05 02:06:54,047 - mmseg - INFO - Exp name: ablation_segformer_mit_b2_segformer_head_unet_fc_small_multi_step_ade_pretrained_freeze_embed_160k_ade20k151_mask_finetune_maskreplace.py +2023-03-05 02:06:54,047 - mmseg - INFO - Iter [25000/160000] lr: 7.500e-05, eta: 8:41:34, time: 0.195, data_time: 0.008, memory: 52540, decode.loss_ce: 0.2055, decode.acc_seg: 91.5453, loss: 0.2055 +2023-03-05 02:07:03,710 - mmseg - INFO - Iter [25050/160000] lr: 7.500e-05, eta: 8:41:12, time: 0.193, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1992, decode.acc_seg: 91.9346, loss: 0.1992 +2023-03-05 02:07:13,527 - mmseg - INFO - Iter [25100/160000] lr: 7.500e-05, eta: 8:40:51, time: 0.196, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1984, decode.acc_seg: 91.8264, loss: 0.1984 +2023-03-05 02:07:23,175 - mmseg - INFO - Iter [25150/160000] lr: 7.500e-05, eta: 8:40:29, time: 0.193, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1997, decode.acc_seg: 91.7802, loss: 0.1997 +2023-03-05 02:07:33,080 - mmseg - INFO - Iter [25200/160000] lr: 7.500e-05, eta: 8:40:08, time: 0.198, data_time: 0.008, memory: 52540, decode.loss_ce: 0.2065, decode.acc_seg: 91.6173, loss: 0.2065 +2023-03-05 02:07:45,316 - mmseg - INFO - Iter [25250/160000] lr: 7.500e-05, eta: 8:40:00, time: 0.245, data_time: 0.058, memory: 52540, decode.loss_ce: 0.1982, decode.acc_seg: 91.8673, loss: 0.1982 +2023-03-05 02:07:55,109 - mmseg - INFO - Iter [25300/160000] lr: 7.500e-05, eta: 8:39:39, time: 0.196, data_time: 0.007, memory: 52540, decode.loss_ce: 0.2033, decode.acc_seg: 91.5812, loss: 0.2033 +2023-03-05 02:08:04,805 - mmseg - INFO - Iter [25350/160000] lr: 7.500e-05, eta: 8:39:18, time: 0.194, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1998, decode.acc_seg: 91.8660, loss: 0.1998 +2023-03-05 02:08:14,390 - mmseg - INFO - Iter [25400/160000] lr: 7.500e-05, eta: 8:38:56, time: 0.192, data_time: 0.007, memory: 52540, decode.loss_ce: 0.2003, decode.acc_seg: 91.8969, loss: 0.2003 +2023-03-05 02:08:24,013 - mmseg - INFO - Iter [25450/160000] lr: 7.500e-05, eta: 8:38:34, time: 0.192, data_time: 0.007, memory: 52540, decode.loss_ce: 0.2037, decode.acc_seg: 91.7037, loss: 0.2037 +2023-03-05 02:08:33,644 - mmseg - INFO - Iter [25500/160000] lr: 7.500e-05, eta: 8:38:12, time: 0.193, data_time: 0.007, memory: 52540, decode.loss_ce: 0.2018, decode.acc_seg: 91.7827, loss: 0.2018 +2023-03-05 02:08:43,296 - mmseg - INFO - Iter [25550/160000] lr: 7.500e-05, eta: 8:37:50, time: 0.193, data_time: 0.008, memory: 52540, decode.loss_ce: 0.1996, decode.acc_seg: 91.7558, loss: 0.1996 +2023-03-05 02:08:53,168 - mmseg - INFO - Iter [25600/160000] lr: 7.500e-05, eta: 8:37:30, time: 0.197, data_time: 0.008, memory: 52540, decode.loss_ce: 0.2078, decode.acc_seg: 91.4190, loss: 0.2078 +2023-03-05 02:09:02,969 - mmseg - INFO - Iter [25650/160000] lr: 7.500e-05, eta: 8:37:09, time: 0.196, data_time: 0.007, memory: 52540, decode.loss_ce: 0.2013, decode.acc_seg: 91.8873, loss: 0.2013 +2023-03-05 02:09:12,675 - mmseg - INFO - Iter [25700/160000] lr: 7.500e-05, eta: 8:36:48, time: 0.194, data_time: 0.007, memory: 52540, decode.loss_ce: 0.2017, decode.acc_seg: 91.5594, loss: 0.2017 +2023-03-05 02:09:22,235 - mmseg - INFO - Iter [25750/160000] lr: 7.500e-05, eta: 8:36:26, time: 0.191, data_time: 0.008, memory: 52540, decode.loss_ce: 0.2035, decode.acc_seg: 91.5735, loss: 0.2035 +2023-03-05 02:09:31,776 - mmseg - INFO - Iter [25800/160000] lr: 7.500e-05, eta: 8:36:04, time: 0.191, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1982, decode.acc_seg: 91.8590, loss: 0.1982 +2023-03-05 02:09:41,319 - mmseg - INFO - Iter [25850/160000] lr: 7.500e-05, eta: 8:35:42, time: 0.191, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1997, decode.acc_seg: 91.7718, loss: 0.1997 +2023-03-05 02:09:53,668 - mmseg - INFO - Iter [25900/160000] lr: 7.500e-05, eta: 8:35:35, time: 0.247, data_time: 0.054, memory: 52540, decode.loss_ce: 0.2042, decode.acc_seg: 91.6615, loss: 0.2042 +2023-03-05 02:10:03,274 - mmseg - INFO - Iter [25950/160000] lr: 7.500e-05, eta: 8:35:14, time: 0.192, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1970, decode.acc_seg: 91.8429, loss: 0.1970 +2023-03-05 02:10:13,157 - mmseg - INFO - Exp name: ablation_segformer_mit_b2_segformer_head_unet_fc_small_multi_step_ade_pretrained_freeze_embed_160k_ade20k151_mask_finetune_maskreplace.py +2023-03-05 02:10:13,157 - mmseg - INFO - Iter [26000/160000] lr: 7.500e-05, eta: 8:34:54, time: 0.198, data_time: 0.007, memory: 52540, decode.loss_ce: 0.2025, decode.acc_seg: 91.7236, loss: 0.2025 +2023-03-05 02:10:23,148 - mmseg - INFO - Iter [26050/160000] lr: 7.500e-05, eta: 8:34:34, time: 0.200, data_time: 0.008, memory: 52540, decode.loss_ce: 0.1966, decode.acc_seg: 91.8960, loss: 0.1966 +2023-03-05 02:10:32,674 - mmseg - INFO - Iter [26100/160000] lr: 7.500e-05, eta: 8:34:12, time: 0.191, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1988, decode.acc_seg: 91.7354, loss: 0.1988 +2023-03-05 02:10:42,305 - mmseg - INFO - Iter [26150/160000] lr: 7.500e-05, eta: 8:33:51, time: 0.192, data_time: 0.007, memory: 52540, decode.loss_ce: 0.2074, decode.acc_seg: 91.5653, loss: 0.2074 +2023-03-05 02:10:51,940 - mmseg - INFO - Iter [26200/160000] lr: 7.500e-05, eta: 8:33:30, time: 0.193, data_time: 0.008, memory: 52540, decode.loss_ce: 0.1985, decode.acc_seg: 91.9692, loss: 0.1985 +2023-03-05 02:11:01,740 - mmseg - INFO - Iter [26250/160000] lr: 7.500e-05, eta: 8:33:10, time: 0.196, data_time: 0.007, memory: 52540, decode.loss_ce: 0.2014, decode.acc_seg: 91.6952, loss: 0.2014 +2023-03-05 02:11:11,508 - mmseg - INFO - Iter [26300/160000] lr: 7.500e-05, eta: 8:32:49, time: 0.195, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1929, decode.acc_seg: 92.1078, loss: 0.1929 +2023-03-05 02:11:21,445 - mmseg - INFO - Iter [26350/160000] lr: 7.500e-05, eta: 8:32:30, time: 0.199, data_time: 0.008, memory: 52540, decode.loss_ce: 0.2109, decode.acc_seg: 91.4139, loss: 0.2109 +2023-03-05 02:11:31,296 - mmseg - INFO - Iter [26400/160000] lr: 7.500e-05, eta: 8:32:10, time: 0.197, data_time: 0.007, memory: 52540, decode.loss_ce: 0.2013, decode.acc_seg: 91.7590, loss: 0.2013 +2023-03-05 02:11:40,950 - mmseg - INFO - Iter [26450/160000] lr: 7.500e-05, eta: 8:31:49, time: 0.193, data_time: 0.007, memory: 52540, decode.loss_ce: 0.2037, decode.acc_seg: 91.7706, loss: 0.2037 +2023-03-05 02:11:50,519 - mmseg - INFO - Iter [26500/160000] lr: 7.500e-05, eta: 8:31:28, time: 0.191, data_time: 0.007, memory: 52540, decode.loss_ce: 0.2013, decode.acc_seg: 91.7623, loss: 0.2013 +2023-03-05 02:12:02,775 - mmseg - INFO - Iter [26550/160000] lr: 7.500e-05, eta: 8:31:20, time: 0.245, data_time: 0.054, memory: 52540, decode.loss_ce: 0.2007, decode.acc_seg: 91.7819, loss: 0.2007 +2023-03-05 02:12:12,395 - mmseg - INFO - Iter [26600/160000] lr: 7.500e-05, eta: 8:31:00, time: 0.192, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1960, decode.acc_seg: 91.9596, loss: 0.1960 +2023-03-05 02:12:21,936 - mmseg - INFO - Iter [26650/160000] lr: 7.500e-05, eta: 8:30:38, time: 0.191, data_time: 0.007, memory: 52540, decode.loss_ce: 0.2009, decode.acc_seg: 91.7682, loss: 0.2009 +2023-03-05 02:12:31,466 - mmseg - INFO - Iter [26700/160000] lr: 7.500e-05, eta: 8:30:17, time: 0.191, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1927, decode.acc_seg: 92.0744, loss: 0.1927 +2023-03-05 02:12:41,491 - mmseg - INFO - Iter [26750/160000] lr: 7.500e-05, eta: 8:29:58, time: 0.200, data_time: 0.007, memory: 52540, decode.loss_ce: 0.2029, decode.acc_seg: 91.7008, loss: 0.2029 +2023-03-05 02:12:51,155 - mmseg - INFO - Iter [26800/160000] lr: 7.500e-05, eta: 8:29:38, time: 0.194, data_time: 0.008, memory: 52540, decode.loss_ce: 0.2018, decode.acc_seg: 91.8053, loss: 0.2018 +2023-03-05 02:13:00,849 - mmseg - INFO - Iter [26850/160000] lr: 7.500e-05, eta: 8:29:17, time: 0.194, data_time: 0.007, memory: 52540, decode.loss_ce: 0.2028, decode.acc_seg: 91.6611, loss: 0.2028 +2023-03-05 02:13:10,424 - mmseg - INFO - Iter [26900/160000] lr: 7.500e-05, eta: 8:28:57, time: 0.192, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1934, decode.acc_seg: 91.9248, loss: 0.1934 +2023-03-05 02:13:20,107 - mmseg - INFO - Iter [26950/160000] lr: 7.500e-05, eta: 8:28:36, time: 0.194, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1986, decode.acc_seg: 91.9099, loss: 0.1986 +2023-03-05 02:13:30,040 - mmseg - INFO - Exp name: ablation_segformer_mit_b2_segformer_head_unet_fc_small_multi_step_ade_pretrained_freeze_embed_160k_ade20k151_mask_finetune_maskreplace.py +2023-03-05 02:13:30,040 - mmseg - INFO - Iter [27000/160000] lr: 7.500e-05, eta: 8:28:17, time: 0.199, data_time: 0.008, memory: 52540, decode.loss_ce: 0.1994, decode.acc_seg: 91.7506, loss: 0.1994 +2023-03-05 02:13:39,589 - mmseg - INFO - Iter [27050/160000] lr: 7.500e-05, eta: 8:27:56, time: 0.191, data_time: 0.007, memory: 52540, decode.loss_ce: 0.2083, decode.acc_seg: 91.4159, loss: 0.2083 +2023-03-05 02:13:49,231 - mmseg - INFO - Iter [27100/160000] lr: 7.500e-05, eta: 8:27:36, time: 0.193, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1998, decode.acc_seg: 91.6755, loss: 0.1998 +2023-03-05 02:14:01,311 - mmseg - INFO - Iter [27150/160000] lr: 7.500e-05, eta: 8:27:28, time: 0.242, data_time: 0.055, memory: 52540, decode.loss_ce: 0.2011, decode.acc_seg: 91.8109, loss: 0.2011 +2023-03-05 02:14:11,187 - mmseg - INFO - Iter [27200/160000] lr: 7.500e-05, eta: 8:27:08, time: 0.198, data_time: 0.007, memory: 52540, decode.loss_ce: 0.2021, decode.acc_seg: 91.7413, loss: 0.2021 +2023-03-05 02:14:20,996 - mmseg - INFO - Iter [27250/160000] lr: 7.500e-05, eta: 8:26:49, time: 0.196, data_time: 0.008, memory: 52540, decode.loss_ce: 0.1986, decode.acc_seg: 91.9062, loss: 0.1986 +2023-03-05 02:14:30,913 - mmseg - INFO - Iter [27300/160000] lr: 7.500e-05, eta: 8:26:30, time: 0.198, data_time: 0.007, memory: 52540, decode.loss_ce: 0.2050, decode.acc_seg: 91.7905, loss: 0.2050 +2023-03-05 02:14:40,693 - mmseg - INFO - Iter [27350/160000] lr: 7.500e-05, eta: 8:26:10, time: 0.196, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1972, decode.acc_seg: 91.9216, loss: 0.1972 +2023-03-05 02:14:50,311 - mmseg - INFO - Iter [27400/160000] lr: 7.500e-05, eta: 8:25:50, time: 0.192, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1966, decode.acc_seg: 91.9150, loss: 0.1966 +2023-03-05 02:15:00,051 - mmseg - INFO - Iter [27450/160000] lr: 7.500e-05, eta: 8:25:30, time: 0.195, data_time: 0.007, memory: 52540, decode.loss_ce: 0.2011, decode.acc_seg: 91.7305, loss: 0.2011 +2023-03-05 02:15:09,670 - mmseg - INFO - Iter [27500/160000] lr: 7.500e-05, eta: 8:25:10, time: 0.192, data_time: 0.007, memory: 52540, decode.loss_ce: 0.2044, decode.acc_seg: 91.5809, loss: 0.2044 +2023-03-05 02:15:19,470 - mmseg - INFO - Iter [27550/160000] lr: 7.500e-05, eta: 8:24:51, time: 0.196, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1965, decode.acc_seg: 91.9545, loss: 0.1965 +2023-03-05 02:15:29,093 - mmseg - INFO - Iter [27600/160000] lr: 7.500e-05, eta: 8:24:31, time: 0.192, data_time: 0.007, memory: 52540, decode.loss_ce: 0.2010, decode.acc_seg: 91.6941, loss: 0.2010 +2023-03-05 02:15:38,995 - mmseg - INFO - Iter [27650/160000] lr: 7.500e-05, eta: 8:24:12, time: 0.198, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1968, decode.acc_seg: 91.8631, loss: 0.1968 +2023-03-05 02:15:48,627 - mmseg - INFO - Iter [27700/160000] lr: 7.500e-05, eta: 8:23:52, time: 0.193, data_time: 0.008, memory: 52540, decode.loss_ce: 0.2068, decode.acc_seg: 91.5616, loss: 0.2068 +2023-03-05 02:15:58,846 - mmseg - INFO - Iter [27750/160000] lr: 7.500e-05, eta: 8:23:35, time: 0.204, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1965, decode.acc_seg: 91.8555, loss: 0.1965 +2023-03-05 02:16:11,148 - mmseg - INFO - Iter [27800/160000] lr: 7.500e-05, eta: 8:23:28, time: 0.246, data_time: 0.057, memory: 52540, decode.loss_ce: 0.2036, decode.acc_seg: 91.7672, loss: 0.2036 +2023-03-05 02:16:20,690 - mmseg - INFO - Iter [27850/160000] lr: 7.500e-05, eta: 8:23:07, time: 0.191, data_time: 0.007, memory: 52540, decode.loss_ce: 0.2105, decode.acc_seg: 91.4350, loss: 0.2105 +2023-03-05 02:16:30,270 - mmseg - INFO - Iter [27900/160000] lr: 7.500e-05, eta: 8:22:47, time: 0.192, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1923, decode.acc_seg: 92.0517, loss: 0.1923 +2023-03-05 02:16:40,179 - mmseg - INFO - Iter [27950/160000] lr: 7.500e-05, eta: 8:22:28, time: 0.198, data_time: 0.008, memory: 52540, decode.loss_ce: 0.2020, decode.acc_seg: 91.5572, loss: 0.2020 +2023-03-05 02:16:49,762 - mmseg - INFO - Exp name: ablation_segformer_mit_b2_segformer_head_unet_fc_small_multi_step_ade_pretrained_freeze_embed_160k_ade20k151_mask_finetune_maskreplace.py +2023-03-05 02:16:49,762 - mmseg - INFO - Iter [28000/160000] lr: 7.500e-05, eta: 8:22:08, time: 0.192, data_time: 0.007, memory: 52540, decode.loss_ce: 0.2031, decode.acc_seg: 91.4949, loss: 0.2031 +2023-03-05 02:16:59,358 - mmseg - INFO - Iter [28050/160000] lr: 7.500e-05, eta: 8:21:48, time: 0.192, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1919, decode.acc_seg: 91.9918, loss: 0.1919 +2023-03-05 02:17:08,980 - mmseg - INFO - Iter [28100/160000] lr: 7.500e-05, eta: 8:21:29, time: 0.192, data_time: 0.007, memory: 52540, decode.loss_ce: 0.2033, decode.acc_seg: 91.6120, loss: 0.2033 +2023-03-05 02:17:18,863 - mmseg - INFO - Iter [28150/160000] lr: 7.500e-05, eta: 8:21:10, time: 0.198, data_time: 0.007, memory: 52540, decode.loss_ce: 0.2038, decode.acc_seg: 91.7182, loss: 0.2038 +2023-03-05 02:17:28,477 - mmseg - INFO - Iter [28200/160000] lr: 7.500e-05, eta: 8:20:50, time: 0.192, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1966, decode.acc_seg: 91.8947, loss: 0.1966 +2023-03-05 02:17:38,049 - mmseg - INFO - Iter [28250/160000] lr: 7.500e-05, eta: 8:20:30, time: 0.191, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1985, decode.acc_seg: 91.9298, loss: 0.1985 +2023-03-05 02:17:47,760 - mmseg - INFO - Iter [28300/160000] lr: 7.500e-05, eta: 8:20:11, time: 0.194, data_time: 0.007, memory: 52540, decode.loss_ce: 0.2098, decode.acc_seg: 91.5237, loss: 0.2098 +2023-03-05 02:17:57,455 - mmseg - INFO - Iter [28350/160000] lr: 7.500e-05, eta: 8:19:52, time: 0.194, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1983, decode.acc_seg: 91.8865, loss: 0.1983 +2023-03-05 02:18:09,594 - mmseg - INFO - Iter [28400/160000] lr: 7.500e-05, eta: 8:19:44, time: 0.243, data_time: 0.056, memory: 52540, decode.loss_ce: 0.2058, decode.acc_seg: 91.6529, loss: 0.2058 +2023-03-05 02:18:19,325 - mmseg - INFO - Iter [28450/160000] lr: 7.500e-05, eta: 8:19:25, time: 0.195, data_time: 0.007, memory: 52540, decode.loss_ce: 0.2024, decode.acc_seg: 91.8228, loss: 0.2024 +2023-03-05 02:18:29,023 - mmseg - INFO - Iter [28500/160000] lr: 7.500e-05, eta: 8:19:06, time: 0.194, data_time: 0.008, memory: 52540, decode.loss_ce: 0.2033, decode.acc_seg: 91.7199, loss: 0.2033 +2023-03-05 02:18:38,694 - mmseg - INFO - Iter [28550/160000] lr: 7.500e-05, eta: 8:18:46, time: 0.194, data_time: 0.007, memory: 52540, decode.loss_ce: 0.2000, decode.acc_seg: 91.7092, loss: 0.2000 +2023-03-05 02:18:48,206 - mmseg - INFO - Iter [28600/160000] lr: 7.500e-05, eta: 8:18:26, time: 0.190, data_time: 0.008, memory: 52540, decode.loss_ce: 0.2026, decode.acc_seg: 91.7108, loss: 0.2026 +2023-03-05 02:18:57,849 - mmseg - INFO - Iter [28650/160000] lr: 7.500e-05, eta: 8:18:07, time: 0.193, data_time: 0.007, memory: 52540, decode.loss_ce: 0.2049, decode.acc_seg: 91.6636, loss: 0.2049 +2023-03-05 02:19:07,745 - mmseg - INFO - Iter [28700/160000] lr: 7.500e-05, eta: 8:17:49, time: 0.198, data_time: 0.008, memory: 52540, decode.loss_ce: 0.2030, decode.acc_seg: 91.7642, loss: 0.2030 +2023-03-05 02:19:17,300 - mmseg - INFO - Iter [28750/160000] lr: 7.500e-05, eta: 8:17:29, time: 0.191, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1973, decode.acc_seg: 91.9090, loss: 0.1973 +2023-03-05 02:19:26,831 - mmseg - INFO - Iter [28800/160000] lr: 7.500e-05, eta: 8:17:09, time: 0.191, data_time: 0.007, memory: 52540, decode.loss_ce: 0.2013, decode.acc_seg: 91.8267, loss: 0.2013 +2023-03-05 02:19:36,865 - mmseg - INFO - Iter [28850/160000] lr: 7.500e-05, eta: 8:16:52, time: 0.201, data_time: 0.007, memory: 52540, decode.loss_ce: 0.2022, decode.acc_seg: 91.5530, loss: 0.2022 +2023-03-05 02:19:46,717 - mmseg - INFO - Iter [28900/160000] lr: 7.500e-05, eta: 8:16:34, time: 0.197, data_time: 0.007, memory: 52540, decode.loss_ce: 0.2003, decode.acc_seg: 91.8830, loss: 0.2003 +2023-03-05 02:19:56,312 - mmseg - INFO - Iter [28950/160000] lr: 7.500e-05, eta: 8:16:14, time: 0.192, data_time: 0.007, memory: 52540, decode.loss_ce: 0.2108, decode.acc_seg: 91.3789, loss: 0.2108 +2023-03-05 02:20:05,863 - mmseg - INFO - Exp name: ablation_segformer_mit_b2_segformer_head_unet_fc_small_multi_step_ade_pretrained_freeze_embed_160k_ade20k151_mask_finetune_maskreplace.py +2023-03-05 02:20:05,863 - mmseg - INFO - Iter [29000/160000] lr: 7.500e-05, eta: 8:15:55, time: 0.191, data_time: 0.007, memory: 52540, decode.loss_ce: 0.2001, decode.acc_seg: 91.7891, loss: 0.2001 +2023-03-05 02:20:17,976 - mmseg - INFO - Iter [29050/160000] lr: 7.500e-05, eta: 8:15:47, time: 0.242, data_time: 0.056, memory: 52540, decode.loss_ce: 0.2031, decode.acc_seg: 91.7772, loss: 0.2031 +2023-03-05 02:20:27,645 - mmseg - INFO - Iter [29100/160000] lr: 7.500e-05, eta: 8:15:28, time: 0.193, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1986, decode.acc_seg: 91.8447, loss: 0.1986 +2023-03-05 02:20:37,774 - mmseg - INFO - Iter [29150/160000] lr: 7.500e-05, eta: 8:15:11, time: 0.202, data_time: 0.008, memory: 52540, decode.loss_ce: 0.2074, decode.acc_seg: 91.5674, loss: 0.2074 +2023-03-05 02:20:47,470 - mmseg - INFO - Iter [29200/160000] lr: 7.500e-05, eta: 8:14:52, time: 0.194, data_time: 0.008, memory: 52540, decode.loss_ce: 0.2052, decode.acc_seg: 91.6578, loss: 0.2052 +2023-03-05 02:20:57,352 - mmseg - INFO - Iter [29250/160000] lr: 7.500e-05, eta: 8:14:34, time: 0.198, data_time: 0.007, memory: 52540, decode.loss_ce: 0.2104, decode.acc_seg: 91.5448, loss: 0.2104 +2023-03-05 02:21:07,420 - mmseg - INFO - Iter [29300/160000] lr: 7.500e-05, eta: 8:14:17, time: 0.201, data_time: 0.007, memory: 52540, decode.loss_ce: 0.2011, decode.acc_seg: 91.8788, loss: 0.2011 +2023-03-05 02:21:17,185 - mmseg - INFO - Iter [29350/160000] lr: 7.500e-05, eta: 8:13:59, time: 0.196, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1971, decode.acc_seg: 91.7546, loss: 0.1971 +2023-03-05 02:21:26,822 - mmseg - INFO - Iter [29400/160000] lr: 7.500e-05, eta: 8:13:40, time: 0.193, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1977, decode.acc_seg: 91.7523, loss: 0.1977 +2023-03-05 02:21:36,636 - mmseg - INFO - Iter [29450/160000] lr: 7.500e-05, eta: 8:13:22, time: 0.196, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1993, decode.acc_seg: 91.8117, loss: 0.1993 +2023-03-05 02:21:46,393 - mmseg - INFO - Iter [29500/160000] lr: 7.500e-05, eta: 8:13:04, time: 0.195, data_time: 0.007, memory: 52540, decode.loss_ce: 0.2001, decode.acc_seg: 91.8498, loss: 0.2001 +2023-03-05 02:21:56,145 - mmseg - INFO - Iter [29550/160000] lr: 7.500e-05, eta: 8:12:45, time: 0.195, data_time: 0.008, memory: 52540, decode.loss_ce: 0.1934, decode.acc_seg: 92.1183, loss: 0.1934 +2023-03-05 02:22:05,694 - mmseg - INFO - Iter [29600/160000] lr: 7.500e-05, eta: 8:12:26, time: 0.191, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1978, decode.acc_seg: 91.9228, loss: 0.1978 +2023-03-05 02:22:15,381 - mmseg - INFO - Iter [29650/160000] lr: 7.500e-05, eta: 8:12:08, time: 0.194, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1983, decode.acc_seg: 91.8787, loss: 0.1983 +2023-03-05 02:22:27,631 - mmseg - INFO - Iter [29700/160000] lr: 7.500e-05, eta: 8:12:00, time: 0.245, data_time: 0.055, memory: 52540, decode.loss_ce: 0.1897, decode.acc_seg: 92.0986, loss: 0.1897 +2023-03-05 02:22:37,268 - mmseg - INFO - Iter [29750/160000] lr: 7.500e-05, eta: 8:11:42, time: 0.193, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1997, decode.acc_seg: 91.8746, loss: 0.1997 +2023-03-05 02:22:46,996 - mmseg - INFO - Iter [29800/160000] lr: 7.500e-05, eta: 8:11:23, time: 0.195, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1995, decode.acc_seg: 91.7529, loss: 0.1995 +2023-03-05 02:22:56,735 - mmseg - INFO - Iter [29850/160000] lr: 7.500e-05, eta: 8:11:05, time: 0.195, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1999, decode.acc_seg: 91.8868, loss: 0.1999 +2023-03-05 02:23:06,423 - mmseg - INFO - Iter [29900/160000] lr: 7.500e-05, eta: 8:10:47, time: 0.194, data_time: 0.008, memory: 52540, decode.loss_ce: 0.2041, decode.acc_seg: 91.6735, loss: 0.2041 +2023-03-05 02:23:16,042 - mmseg - INFO - Iter [29950/160000] lr: 7.500e-05, eta: 8:10:28, time: 0.192, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1998, decode.acc_seg: 91.8447, loss: 0.1998 +2023-03-05 02:23:26,037 - mmseg - INFO - Exp name: ablation_segformer_mit_b2_segformer_head_unet_fc_small_multi_step_ade_pretrained_freeze_embed_160k_ade20k151_mask_finetune_maskreplace.py +2023-03-05 02:23:26,037 - mmseg - INFO - Iter [30000/160000] lr: 7.500e-05, eta: 8:10:11, time: 0.200, data_time: 0.007, memory: 52540, decode.loss_ce: 0.2101, decode.acc_seg: 91.5057, loss: 0.2101 +2023-03-05 02:23:35,893 - mmseg - INFO - Iter [30050/160000] lr: 7.500e-05, eta: 8:09:53, time: 0.197, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1965, decode.acc_seg: 91.8544, loss: 0.1965 +2023-03-05 02:23:45,544 - mmseg - INFO - Iter [30100/160000] lr: 7.500e-05, eta: 8:09:35, time: 0.193, data_time: 0.008, memory: 52540, decode.loss_ce: 0.1992, decode.acc_seg: 91.8201, loss: 0.1992 +2023-03-05 02:23:55,215 - mmseg - INFO - Iter [30150/160000] lr: 7.500e-05, eta: 8:09:16, time: 0.193, data_time: 0.007, memory: 52540, decode.loss_ce: 0.2093, decode.acc_seg: 91.6003, loss: 0.2093 +2023-03-05 02:24:04,871 - mmseg - INFO - Iter [30200/160000] lr: 7.500e-05, eta: 8:08:58, time: 0.193, data_time: 0.007, memory: 52540, decode.loss_ce: 0.2026, decode.acc_seg: 91.7423, loss: 0.2026 +2023-03-05 02:24:14,470 - mmseg - INFO - Iter [30250/160000] lr: 7.500e-05, eta: 8:08:39, time: 0.192, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1951, decode.acc_seg: 91.8944, loss: 0.1951 +2023-03-05 02:24:26,769 - mmseg - INFO - Iter [30300/160000] lr: 7.500e-05, eta: 8:08:32, time: 0.246, data_time: 0.059, memory: 52540, decode.loss_ce: 0.2024, decode.acc_seg: 92.0120, loss: 0.2024 +2023-03-05 02:24:36,478 - mmseg - INFO - Iter [30350/160000] lr: 7.500e-05, eta: 8:08:14, time: 0.194, data_time: 0.007, memory: 52540, decode.loss_ce: 0.2127, decode.acc_seg: 91.6623, loss: 0.2127 +2023-03-05 02:24:46,197 - mmseg - INFO - Iter [30400/160000] lr: 7.500e-05, eta: 8:07:56, time: 0.194, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1950, decode.acc_seg: 91.9886, loss: 0.1950 +2023-03-05 02:24:55,720 - mmseg - INFO - Iter [30450/160000] lr: 7.500e-05, eta: 8:07:37, time: 0.190, data_time: 0.007, memory: 52540, decode.loss_ce: 0.2052, decode.acc_seg: 91.5852, loss: 0.2052 +2023-03-05 02:25:05,290 - mmseg - INFO - Iter [30500/160000] lr: 7.500e-05, eta: 8:07:19, time: 0.191, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1984, decode.acc_seg: 91.9024, loss: 0.1984 +2023-03-05 02:25:15,233 - mmseg - INFO - Iter [30550/160000] lr: 7.500e-05, eta: 8:07:02, time: 0.199, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1980, decode.acc_seg: 91.8092, loss: 0.1980 +2023-03-05 02:25:24,955 - mmseg - INFO - Iter [30600/160000] lr: 7.500e-05, eta: 8:06:44, time: 0.194, data_time: 0.007, memory: 52540, decode.loss_ce: 0.2130, decode.acc_seg: 91.3310, loss: 0.2130 +2023-03-05 02:25:34,603 - mmseg - INFO - Iter [30650/160000] lr: 7.500e-05, eta: 8:06:26, time: 0.193, data_time: 0.008, memory: 52540, decode.loss_ce: 0.2020, decode.acc_seg: 91.7245, loss: 0.2020 +2023-03-05 02:25:44,510 - mmseg - INFO - Iter [30700/160000] lr: 7.500e-05, eta: 8:06:09, time: 0.198, data_time: 0.008, memory: 52540, decode.loss_ce: 0.2017, decode.acc_seg: 91.6860, loss: 0.2017 +2023-03-05 02:25:54,336 - mmseg - INFO - Iter [30750/160000] lr: 7.500e-05, eta: 8:05:51, time: 0.197, data_time: 0.007, memory: 52540, decode.loss_ce: 0.2064, decode.acc_seg: 91.5950, loss: 0.2064 +2023-03-05 02:26:03,987 - mmseg - INFO - Iter [30800/160000] lr: 7.500e-05, eta: 8:05:33, time: 0.193, data_time: 0.007, memory: 52540, decode.loss_ce: 0.2002, decode.acc_seg: 91.9002, loss: 0.2002 +2023-03-05 02:26:14,016 - mmseg - INFO - Iter [30850/160000] lr: 7.500e-05, eta: 8:05:17, time: 0.201, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1991, decode.acc_seg: 91.9563, loss: 0.1991 +2023-03-05 02:26:23,749 - mmseg - INFO - Iter [30900/160000] lr: 7.500e-05, eta: 8:04:59, time: 0.195, data_time: 0.007, memory: 52540, decode.loss_ce: 0.2032, decode.acc_seg: 91.6139, loss: 0.2032 +2023-03-05 02:26:36,167 - mmseg - INFO - Iter [30950/160000] lr: 7.500e-05, eta: 8:04:53, time: 0.248, data_time: 0.056, memory: 52540, decode.loss_ce: 0.1967, decode.acc_seg: 91.7877, loss: 0.1967 +2023-03-05 02:26:45,767 - mmseg - INFO - Exp name: ablation_segformer_mit_b2_segformer_head_unet_fc_small_multi_step_ade_pretrained_freeze_embed_160k_ade20k151_mask_finetune_maskreplace.py +2023-03-05 02:26:45,767 - mmseg - INFO - Iter [31000/160000] lr: 7.500e-05, eta: 8:04:34, time: 0.192, data_time: 0.007, memory: 52540, decode.loss_ce: 0.2036, decode.acc_seg: 91.6363, loss: 0.2036 +2023-03-05 02:26:55,572 - mmseg - INFO - Iter [31050/160000] lr: 7.500e-05, eta: 8:04:17, time: 0.196, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1968, decode.acc_seg: 91.8097, loss: 0.1968 +2023-03-05 02:27:05,371 - mmseg - INFO - Iter [31100/160000] lr: 7.500e-05, eta: 8:04:00, time: 0.196, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1930, decode.acc_seg: 92.0484, loss: 0.1930 +2023-03-05 02:27:14,950 - mmseg - INFO - Iter [31150/160000] lr: 7.500e-05, eta: 8:03:41, time: 0.192, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1979, decode.acc_seg: 92.0024, loss: 0.1979 +2023-03-05 02:27:24,713 - mmseg - INFO - Iter [31200/160000] lr: 7.500e-05, eta: 8:03:24, time: 0.195, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1922, decode.acc_seg: 92.0663, loss: 0.1922 +2023-03-05 02:27:34,469 - mmseg - INFO - Iter [31250/160000] lr: 7.500e-05, eta: 8:03:06, time: 0.195, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1985, decode.acc_seg: 91.8653, loss: 0.1985 +2023-03-05 02:27:44,039 - mmseg - INFO - Iter [31300/160000] lr: 7.500e-05, eta: 8:02:48, time: 0.191, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1974, decode.acc_seg: 91.9244, loss: 0.1974 +2023-03-05 02:27:53,750 - mmseg - INFO - Iter [31350/160000] lr: 7.500e-05, eta: 8:02:31, time: 0.194, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1969, decode.acc_seg: 91.8644, loss: 0.1969 +2023-03-05 02:28:04,110 - mmseg - INFO - Iter [31400/160000] lr: 7.500e-05, eta: 8:02:16, time: 0.207, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1991, decode.acc_seg: 91.9548, loss: 0.1991 +2023-03-05 02:28:13,692 - mmseg - INFO - Iter [31450/160000] lr: 7.500e-05, eta: 8:01:58, time: 0.192, data_time: 0.008, memory: 52540, decode.loss_ce: 0.1934, decode.acc_seg: 91.9499, loss: 0.1934 +2023-03-05 02:28:23,290 - mmseg - INFO - Iter [31500/160000] lr: 7.500e-05, eta: 8:01:40, time: 0.192, data_time: 0.008, memory: 52540, decode.loss_ce: 0.2048, decode.acc_seg: 91.5593, loss: 0.2048 +2023-03-05 02:28:32,822 - mmseg - INFO - Iter [31550/160000] lr: 7.500e-05, eta: 8:01:21, time: 0.191, data_time: 0.007, memory: 52540, decode.loss_ce: 0.2054, decode.acc_seg: 91.5835, loss: 0.2054 +2023-03-05 02:28:45,219 - mmseg - INFO - Iter [31600/160000] lr: 7.500e-05, eta: 8:01:15, time: 0.248, data_time: 0.056, memory: 52540, decode.loss_ce: 0.1971, decode.acc_seg: 91.8315, loss: 0.1971 +2023-03-05 02:28:54,845 - mmseg - INFO - Iter [31650/160000] lr: 7.500e-05, eta: 8:00:57, time: 0.193, data_time: 0.007, memory: 52540, decode.loss_ce: 0.2042, decode.acc_seg: 91.7506, loss: 0.2042 +2023-03-05 02:29:04,911 - mmseg - INFO - Iter [31700/160000] lr: 7.500e-05, eta: 8:00:41, time: 0.201, data_time: 0.008, memory: 52540, decode.loss_ce: 0.2001, decode.acc_seg: 91.7503, loss: 0.2001 +2023-03-05 02:29:14,661 - mmseg - INFO - Iter [31750/160000] lr: 7.500e-05, eta: 8:00:24, time: 0.195, data_time: 0.007, memory: 52540, decode.loss_ce: 0.2004, decode.acc_seg: 91.7354, loss: 0.2004 +2023-03-05 02:29:24,349 - mmseg - INFO - Iter [31800/160000] lr: 7.500e-05, eta: 8:00:06, time: 0.194, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1977, decode.acc_seg: 91.8607, loss: 0.1977 +2023-03-05 02:29:33,977 - mmseg - INFO - Iter [31850/160000] lr: 7.500e-05, eta: 7:59:49, time: 0.193, data_time: 0.007, memory: 52540, decode.loss_ce: 0.2047, decode.acc_seg: 91.6748, loss: 0.2047 +2023-03-05 02:29:43,634 - mmseg - INFO - Iter [31900/160000] lr: 7.500e-05, eta: 7:59:31, time: 0.193, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1955, decode.acc_seg: 91.9551, loss: 0.1955 +2023-03-05 02:29:53,208 - mmseg - INFO - Iter [31950/160000] lr: 7.500e-05, eta: 7:59:13, time: 0.191, data_time: 0.007, memory: 52540, decode.loss_ce: 0.2053, decode.acc_seg: 91.6837, loss: 0.2053 +2023-03-05 02:30:02,912 - mmseg - INFO - Swap parameters (after train) after iter [32000] +2023-03-05 02:30:02,925 - mmseg - INFO - Saving checkpoint at 32000 iterations +2023-03-05 02:30:04,122 - mmseg - INFO - Exp name: ablation_segformer_mit_b2_segformer_head_unet_fc_small_multi_step_ade_pretrained_freeze_embed_160k_ade20k151_mask_finetune_maskreplace.py +2023-03-05 02:30:04,122 - mmseg - INFO - Iter [32000/160000] lr: 7.500e-05, eta: 7:59:01, time: 0.218, data_time: 0.007, memory: 52540, decode.loss_ce: 0.2028, decode.acc_seg: 91.7609, loss: 0.2028 +2023-03-05 02:40:52,125 - mmseg - INFO - per class results: +2023-03-05 02:40:52,134 - mmseg - INFO - ++---------------------+-------------------------------------------------------------------+ +| Class | IoU 0,10,20,30,40,50,60,70,80,90,99 | ++---------------------+-------------------------------------------------------------------+ +| background | nan,nan,nan,nan,nan,nan,nan,nan,nan,nan,nan | +| wall | 77.32,77.34,77.36,77.37,77.39,77.4,77.41,77.43,77.44,77.44,77.44 | +| building | 81.56,81.58,81.59,81.59,81.59,81.61,81.62,81.62,81.64,81.65,81.64 | +| sky | 94.42,94.43,94.44,94.44,94.44,94.44,94.45,94.45,94.45,94.46,94.46 | +| floor | 81.57,81.6,81.62,81.65,81.67,81.7,81.71,81.71,81.73,81.74,81.75 | +| tree | 73.86,73.87,73.9,73.9,73.91,73.93,73.95,73.98,73.97,74.01,74.04 | +| ceiling | 85.22,85.26,85.29,85.31,85.32,85.35,85.34,85.34,85.33,85.35,85.32 | +| road | 82.0,82.01,82.02,81.98,81.95,81.94,81.96,81.97,81.95,81.97,81.92 | +| bed | 87.71,87.71,87.7,87.7,87.7,87.69,87.69,87.71,87.71,87.72,87.75 | +| windowpane | 60.45,60.44,60.43,60.41,60.42,60.4,60.39,60.38,60.4,60.44,60.45 | +| grass | 67.2,67.23,67.26,67.31,67.32,67.35,67.37,67.41,67.41,67.43,67.46 | +| cabinet | 60.21,60.25,60.26,60.29,60.31,60.37,60.35,60.38,60.39,60.39,60.36 | +| sidewalk | 64.14,64.2,64.24,64.18,64.18,64.17,64.21,64.23,64.23,64.24,64.16 | +| person | 79.55,79.55,79.59,79.58,79.59,79.62,79.64,79.66,79.68,79.69,79.68 | +| earth | 35.85,35.92,35.98,36.01,36.06,36.09,36.13,36.17,36.19,36.22,36.22 | +| door | 45.41,45.43,45.45,45.52,45.5,45.55,45.52,45.5,45.54,45.56,45.62 | +| table | 60.49,60.51,60.56,60.53,60.58,60.59,60.56,60.56,60.55,60.54,60.52 | +| mountain | 56.84,56.89,56.92,56.98,57.09,57.12,57.26,57.3,57.32,57.36,57.28 | +| plant | 49.94,49.94,50.03,50.09,50.11,50.18,50.19,50.23,50.21,50.26,50.31 | +| curtain | 74.02,74.08,74.23,74.27,74.3,74.22,74.19,74.18,74.17,74.14,74.26 | +| chair | 56.3,56.3,56.37,56.36,56.37,56.41,56.41,56.41,56.42,56.45,56.48 | +| car | 81.42,81.42,81.44,81.45,81.48,81.44,81.49,81.48,81.51,81.5,81.51 | +| water | 57.61,57.63,57.66,57.67,57.66,57.7,57.68,57.68,57.68,57.69,57.69 | +| painting | 70.62,70.54,70.47,70.42,70.41,70.43,70.3,70.2,70.16,70.08,70.04 | +| sofa | 63.83,63.98,63.96,64.07,64.12,64.11,64.16,64.09,64.15,64.17,64.2 | +| shelf | 44.28,44.36,44.41,44.47,44.5,44.54,44.53,44.55,44.53,44.5,44.63 | +| house | 41.65,41.88,42.04,41.98,42.06,42.04,42.18,42.23,42.25,42.38,42.41 | +| sea | 60.18,60.18,60.19,60.17,60.15,60.15,60.14,60.12,60.12,60.15,60.07 | +| mirror | 65.64,65.66,65.66,65.71,65.7,65.67,65.65,65.65,65.59,65.61,65.66 | +| rug | 64.87,64.98,65.08,65.22,65.27,65.4,65.44,65.48,65.62,65.7,65.51 | +| field | 30.32,30.34,30.34,30.33,30.35,30.34,30.36,30.34,30.34,30.34,30.38 | +| armchair | 37.26,37.37,37.4,37.39,37.48,37.44,37.45,37.5,37.51,37.5,37.48 | +| seat | 66.36,66.39,66.48,66.5,66.49,66.54,66.61,66.64,66.71,66.67,66.62 | +| fence | 40.22,40.31,40.25,40.28,40.39,40.48,40.62,40.66,40.72,40.73,40.78 | +| desk | 46.59,46.62,46.68,46.66,46.66,46.74,46.68,46.65,46.69,46.69,46.76 | +| rock | 36.42,36.39,36.34,36.34,36.39,36.35,36.32,36.35,36.33,36.37,36.35 | +| wardrobe | 57.44,57.47,57.39,57.43,57.38,57.39,57.38,57.47,57.51,57.49,57.58 | +| lamp | 61.49,61.44,61.44,61.44,61.4,61.36,61.31,61.19,61.13,61.04,61.06 | +| bathtub | 76.63,76.68,76.7,76.73,76.71,76.83,76.75,76.77,76.73,76.76,76.79 | +| railing | 33.34,33.33,33.37,33.46,33.42,33.45,33.36,33.42,33.47,33.47,33.4 | +| cushion | 56.02,56.16,56.1,56.3,56.25,56.31,56.32,56.25,56.2,56.18,56.25 | +| base | 20.33,20.49,20.84,21.13,21.27,21.47,21.61,21.59,21.83,21.94,22.18 | +| box | 22.92,22.97,23.0,23.03,23.12,23.16,23.21,23.24,23.26,23.32,23.25 | +| column | 45.91,45.94,45.91,45.97,45.94,46.0,46.09,46.04,46.06,46.09,45.92 | +| signboard | 37.86,37.91,37.96,37.97,37.89,37.91,37.94,37.94,37.89,37.96,38.1 | +| chest of drawers | 35.88,35.94,35.87,36.05,35.94,36.43,36.55,36.57,36.54,36.53,36.46 | +| counter | 31.14,31.09,31.03,31.0,30.97,30.97,30.83,30.75,30.74,30.68,30.81 | +| sand | 43.76,43.66,43.68,43.62,43.61,43.67,43.71,43.81,43.81,43.77,43.87 | +| sink | 67.65,67.67,67.68,67.69,67.68,67.68,67.61,67.75,67.76,67.76,67.72 | +| skyscraper | 50.74,50.41,50.29,49.83,49.77,50.07,50.09,50.28,50.43,50.6,50.65 | +| fireplace | 75.23,75.32,75.31,75.29,75.32,75.32,75.39,75.46,75.55,75.58,75.67 | +| refrigerator | 74.35,74.41,74.56,74.58,74.59,74.69,74.7,74.63,74.58,74.43,74.23 | +| grandstand | 50.83,50.93,51.01,51.26,51.31,51.54,51.51,51.65,51.72,51.69,52.21 | +| path | 22.04,22.08,22.08,22.11,22.12,22.09,22.08,22.09,22.12,22.14,22.11 | +| stairs | 31.52,31.53,31.48,31.43,31.43,31.4,31.44,31.45,31.41,31.44,31.47 | +| runway | 68.56,68.58,68.6,68.65,68.66,68.64,68.66,68.69,68.69,68.71,68.72 | +| case | 47.48,47.58,47.66,47.75,47.83,47.82,48.02,48.03,48.12,48.14,47.91 | +| pool table | 91.57,91.57,91.58,91.54,91.54,91.54,91.56,91.57,91.56,91.56,91.56 | +| pillow | 60.89,61.22,61.31,61.76,61.59,61.84,61.96,62.01,62.15,62.22,62.28 | +| screen door | 67.06,67.15,67.16,67.41,67.48,67.86,68.25,68.28,68.44,68.49,68.77 | +| stairway | 24.05,24.09,24.05,24.06,24.03,24.02,24.04,24.04,23.98,24.02,24.03 | +| river | 12.27,12.25,12.24,12.22,12.22,12.2,12.2,12.2,12.21,12.19,12.12 | +| bridge | 32.47,32.42,32.44,32.47,32.24,32.35,32.49,32.59,32.73,32.8,32.72 | +| bookcase | 45.41,45.49,45.45,45.51,45.59,45.57,45.62,45.54,45.5,45.44,45.6 | +| blind | 40.19,40.02,39.91,39.69,39.68,39.41,39.35,39.34,39.24,39.34,39.48 | +| coffee table | 52.87,52.84,52.83,52.86,52.81,52.77,52.77,52.8,52.81,52.78,52.65 | +| toilet | 83.4,83.46,83.45,83.43,83.5,83.43,83.43,83.47,83.45,83.45,83.47 | +| flower | 38.26,38.24,38.28,38.22,38.26,38.25,38.29,38.33,38.33,38.28,38.38 | +| book | 45.16,45.22,45.21,45.17,45.19,45.1,45.04,45.05,44.98,45.0,44.94 | +| hill | 15.55,15.68,15.71,15.86,15.88,15.91,16.06,16.09,16.04,15.96,16.11 | +| bench | 42.5,42.45,42.48,42.47,42.36,42.36,42.26,42.35,42.3,42.33,42.43 | +| countertop | 54.38,54.44,54.49,54.56,54.6,54.66,54.71,54.83,54.96,54.96,55.08 | +| stove | 70.11,70.07,70.09,69.94,70.05,69.98,69.91,69.91,69.9,69.92,69.99 | +| palm | 47.76,47.75,47.78,47.76,47.79,47.83,47.82,47.82,47.84,47.96,48.02 | +| kitchen island | 41.71,41.97,42.1,42.17,42.29,42.51,42.67,42.82,42.95,42.98,42.81 | +| computer | 59.44,59.46,59.46,59.52,59.54,59.61,59.62,59.63,59.61,59.63,59.71 | +| swivel chair | 44.84,44.87,45.03,45.16,45.26,45.32,45.44,45.46,45.52,45.57,45.73 | +| boat | 69.73,69.85,69.84,69.95,70.03,70.1,70.2,70.21,70.29,70.35,70.3 | +| bar | 23.76,23.81,23.89,23.9,23.93,23.93,23.92,23.94,23.95,23.98,23.96 | +| arcade machine | 72.46,72.53,72.55,72.55,72.53,72.3,72.25,72.35,72.16,72.18,72.1 | +| hovel | 34.37,34.24,34.01,33.69,33.63,33.5,33.39,33.34,32.9,32.64,31.68 | +| bus | 78.09,78.24,78.31,78.35,78.38,78.32,78.4,78.3,78.19,78.18,78.23 | +| towel | 63.82,63.89,63.93,64.0,64.08,64.11,64.27,64.14,64.11,64.17,64.1 | +| light | 54.98,55.02,55.06,55.08,55.16,55.15,55.15,55.22,55.26,55.31,55.25 | +| truck | 18.99,18.98,18.97,19.2,18.98,19.11,19.12,19.12,19.16,19.16,19.25 | +| tower | 7.67,7.74,7.86,7.69,7.86,7.91,7.95,7.98,7.97,7.99,7.81 | +| chandelier | 64.54,64.61,64.69,64.61,64.61,64.67,64.75,64.58,64.38,64.31,64.4 | +| awning | 23.57,23.65,23.73,23.79,23.77,23.96,24.12,24.02,24.02,23.9,24.21 | +| streetlight | 26.3,26.35,26.37,26.36,26.41,26.36,26.43,26.4,26.38,26.41,26.42 | +| booth | 42.21,42.46,42.68,42.98,43.33,43.55,43.82,44.0,44.09,44.31,44.51 | +| television receiver | 65.01,65.04,65.08,65.18,65.18,65.15,65.14,65.18,65.13,65.15,65.12 | +| airplane | 58.51,58.5,58.48,58.42,58.37,58.4,58.36,58.34,58.27,58.25,58.31 | +| dirt track | 20.0,20.12,20.12,20.1,20.22,20.09,20.21,20.3,20.31,20.33,20.18 | +| apparel | 33.97,34.14,34.22,34.28,34.42,34.66,34.76,34.62,34.89,35.12,34.99 | +| pole | 17.3,17.42,17.26,17.44,17.41,17.33,17.24,17.25,17.31,17.34,17.28 | +| land | 3.99,4.02,4.06,4.15,4.13,4.15,4.18,4.18,4.18,4.2,4.2 | +| bannister | 12.52,12.42,12.5,12.42,12.4,12.42,12.21,12.2,12.25,12.22,12.13 | +| escalator | 24.54,24.55,24.55,24.51,24.53,24.55,24.56,24.53,24.55,24.55,24.57 | +| ottoman | 42.88,42.96,42.68,42.77,42.78,42.77,42.84,42.82,42.82,42.87,43.01 | +| bottle | 35.95,36.0,36.05,36.03,36.13,36.09,36.1,36.14,36.09,36.12,36.03 | +| buffet | 37.54,37.5,37.47,37.62,37.55,37.79,37.71,37.77,37.72,37.8,37.6 | +| poster | 23.83,23.86,23.86,23.89,23.88,23.89,23.94,23.86,23.96,23.89,24.01 | +| stage | 14.22,14.19,14.21,14.22,14.22,14.24,14.25,14.27,14.25,14.25,14.23 | +| van | 38.13,38.17,38.24,38.17,38.25,38.34,38.43,38.39,38.55,38.6,38.51 | +| ship | 76.98,77.11,77.2,77.38,77.56,77.54,77.69,77.67,77.74,77.86,77.91 | +| fountain | 18.0,18.79,19.63,20.18,21.01,21.58,21.95,22.4,22.92,23.28,23.51 | +| conveyer belt | 85.1,85.16,85.18,85.3,85.41,85.25,85.37,85.31,85.39,85.29,85.46 | +| canopy | 24.14,24.2,24.2,24.22,24.12,23.98,23.97,23.95,23.88,23.82,23.71 | +| washer | 75.28,75.19,74.95,75.06,75.2,74.96,75.12,75.59,76.06,76.08,76.37 | +| plaything | 21.47,21.44,21.42,21.49,21.53,21.52,21.57,21.55,21.53,21.49,21.55 | +| swimming pool | 73.57,74.06,74.46,74.6,75.08,75.36,75.75,75.89,75.95,76.12,76.25 | +| stool | 43.51,43.63,43.75,43.84,44.01,43.99,44.17,44.23,44.18,44.18,44.17 | +| barrel | 41.59,41.71,42.58,41.97,42.89,43.0,42.97,42.62,44.18,43.18,44.65 | +| basket | 24.66,24.66,24.6,24.62,24.57,24.55,24.47,24.55,24.45,24.42,24.53 | +| waterfall | 50.12,50.11,50.25,50.23,50.27,50.24,50.16,50.22,50.25,50.26,50.39 | +| tent | 94.46,94.47,94.45,94.45,94.59,94.56,94.57,94.6,94.63,94.64,94.5 | +| bag | 14.52,14.53,14.64,14.68,14.8,14.8,14.81,14.89,14.82,14.88,14.86 | +| minibike | 63.2,63.25,63.23,63.3,63.27,63.32,63.27,63.34,63.44,63.32,63.34 | +| cradle | 84.74,84.84,84.97,85.02,85.04,85.2,85.21,85.26,85.39,85.4,85.42 | +| oven | 46.5,46.49,46.48,46.43,46.48,46.43,46.57,46.58,46.59,46.56,46.66 | +| ball | 46.31,46.29,46.46,46.51,46.62,46.69,46.79,46.82,46.97,47.04,47.17 | +| food | 53.23,53.12,53.17,53.15,53.14,53.13,52.95,53.02,52.89,52.86,53.03 | +| step | 4.13,4.1,4.05,4.13,4.11,4.08,4.05,4.03,4.03,3.98,4.01 | +| tank | 51.55,51.64,51.71,51.81,51.87,51.91,52.07,52.16,52.21,52.38,52.44 | +| trade name | 28.86,28.79,28.78,28.63,28.59,28.63,28.53,28.48,28.6,28.53,28.34 | +| microwave | 72.27,72.44,72.62,72.77,72.89,72.94,73.1,73.15,73.36,73.43,73.47 | +| pot | 30.76,30.79,30.75,30.8,30.82,30.85,31.01,30.92,30.79,30.85,30.99 | +| animal | 54.28,54.41,54.48,54.58,54.69,54.8,54.88,54.95,54.99,55.06,55.14 | +| bicycle | 53.83,53.88,53.88,53.81,54.01,54.03,54.04,54.18,54.01,54.09,53.89 | +| lake | 57.66,57.75,57.76,57.79,57.84,57.86,57.95,57.94,57.99,58.02,58.0 | +| dishwasher | 66.47,66.74,66.78,66.8,66.99,67.1,67.09,67.05,67.2,67.27,67.74 | +| screen | 70.37,70.16,70.1,70.12,69.68,69.82,69.74,69.67,69.45,69.28,68.9 | +| blanket | 19.26,19.44,19.59,19.73,19.76,19.92,20.04,20.07,20.2,20.18,20.36 | +| sculpture | 57.83,57.72,57.63,57.45,57.45,57.35,57.35,57.31,57.39,57.16,57.08 | +| hood | 58.37,58.28,58.34,58.37,58.27,58.25,58.13,58.23,58.13,58.03,57.98 | +| sconce | 42.59,42.57,42.51,42.5,42.46,42.44,42.34,42.33,42.39,42.3,42.44 | +| vase | 37.15,37.25,37.35,37.45,37.68,37.82,37.78,37.88,38.06,38.03,38.23 | +| traffic light | 32.53,32.61,32.54,32.64,32.74,32.76,32.77,32.67,32.79,32.94,32.93 | +| tray | 7.5,7.41,7.47,7.47,7.42,7.42,7.4,7.34,7.35,7.28,7.48 | +| ashcan | 41.53,41.76,41.65,41.76,41.74,41.77,41.96,41.83,41.8,41.73,41.74 | +| fan | 58.52,58.54,58.66,58.56,58.68,58.74,58.85,58.97,59.02,58.97,59.33 | +| pier | 46.65,46.8,46.88,46.98,47.26,47.45,47.55,47.55,47.86,47.89,48.03 | +| crt screen | 9.73,9.73,9.81,9.79,9.81,9.96,10.06,10.05,10.19,10.27,10.35 | +| plate | 52.92,52.89,52.89,52.83,52.76,52.75,52.69,52.6,52.56,52.46,52.38 | +| monitor | 27.58,27.41,27.22,27.05,26.97,26.8,26.78,26.56,26.5,26.37,26.36 | +| bulletin board | 36.39,36.58,36.66,36.66,36.9,37.07,37.25,37.54,37.83,37.88,37.86 | +| shower | 1.54,1.57,1.58,1.63,1.63,1.66,1.69,1.69,1.75,1.76,1.77 | +| radiator | 62.77,62.81,62.82,62.87,62.89,62.8,62.63,62.44,62.47,62.05,62.23 | +| glass | 13.4,13.39,13.33,13.3,13.28,13.35,13.3,13.29,13.23,13.22,13.25 | +| clock | 34.44,34.48,34.39,34.29,34.2,34.29,34.24,34.16,33.99,34.08,34.12 | +| flag | 36.47,36.54,36.63,36.62,36.66,36.58,36.72,36.73,36.78,36.79,36.76 | ++---------------------+-------------------------------------------------------------------+ +2023-03-05 02:40:52,134 - mmseg - INFO - Summary: +2023-03-05 02:40:52,134 - mmseg - INFO - ++-------------------------------------------------------------------+ +| mIoU 0,10,20,30,40,50,60,70,80,90,99 | ++-------------------------------------------------------------------+ +| 48.51,48.55,48.59,48.61,48.65,48.68,48.71,48.73,48.76,48.76,48.79 | ++-------------------------------------------------------------------+ +2023-03-05 02:40:52,171 - mmseg - INFO - The previous best checkpoint /mnt/petrelfs/laizeqiang/mmseg-baseline/work_dirs2/ablation_segformer_mit_b2_segformer_head_unet_fc_small_multi_step_ade_pretrained_freeze_embed_160k_ade20k151_mask_finetune_maskreplace/best_mIoU_iter_16000.pth was removed +2023-03-05 02:40:53,195 - mmseg - INFO - Now best checkpoint is saved as best_mIoU_iter_32000.pth. +2023-03-05 02:40:53,196 - mmseg - INFO - Best mIoU is 0.4879 at 32000 iter. +2023-03-05 02:40:53,196 - mmseg - INFO - Exp name: ablation_segformer_mit_b2_segformer_head_unet_fc_small_multi_step_ade_pretrained_freeze_embed_160k_ade20k151_mask_finetune_maskreplace.py +2023-03-05 02:40:53,196 - mmseg - INFO - Iter(val) [250] mIoU: [0.4851, 0.4855, 0.4859, 0.4861, 0.4865, 0.4868, 0.4871, 0.4873, 0.4876, 0.4876, 0.4879], copy_paste: 48.51,48.55,48.59,48.61,48.65,48.68,48.71,48.73,48.76,48.76,48.79 +2023-03-05 02:40:53,203 - mmseg - INFO - Swap parameters (before train) before iter [32001] +2023-03-05 02:41:03,311 - mmseg - INFO - Iter [32050/160000] lr: 7.500e-05, eta: 8:41:56, time: 13.184, data_time: 12.989, memory: 52540, decode.loss_ce: 0.1989, decode.acc_seg: 91.7649, loss: 0.1989 +2023-03-05 02:41:13,287 - mmseg - INFO - Iter [32100/160000] lr: 7.500e-05, eta: 8:41:35, time: 0.200, data_time: 0.008, memory: 52540, decode.loss_ce: 0.2014, decode.acc_seg: 91.8754, loss: 0.2014 +2023-03-05 02:41:23,201 - mmseg - INFO - Iter [32150/160000] lr: 7.500e-05, eta: 8:41:14, time: 0.198, data_time: 0.007, memory: 52540, decode.loss_ce: 0.2039, decode.acc_seg: 91.6109, loss: 0.2039 +2023-03-05 02:41:35,387 - mmseg - INFO - Iter [32200/160000] lr: 7.500e-05, eta: 8:41:01, time: 0.244, data_time: 0.056, memory: 52540, decode.loss_ce: 0.1995, decode.acc_seg: 91.6919, loss: 0.1995 +2023-03-05 02:41:45,839 - mmseg - INFO - Iter [32250/160000] lr: 7.500e-05, eta: 8:40:42, time: 0.209, data_time: 0.007, memory: 52540, decode.loss_ce: 0.2035, decode.acc_seg: 91.7972, loss: 0.2035 +2023-03-05 02:41:55,618 - mmseg - INFO - Iter [32300/160000] lr: 7.500e-05, eta: 8:40:20, time: 0.196, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1983, decode.acc_seg: 91.8343, loss: 0.1983 +2023-03-05 02:42:05,321 - mmseg - INFO - Iter [32350/160000] lr: 7.500e-05, eta: 8:39:58, time: 0.194, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1960, decode.acc_seg: 92.0633, loss: 0.1960 +2023-03-05 02:42:15,093 - mmseg - INFO - Iter [32400/160000] lr: 7.500e-05, eta: 8:39:36, time: 0.195, data_time: 0.007, memory: 52540, decode.loss_ce: 0.2018, decode.acc_seg: 91.7992, loss: 0.2018 +2023-03-05 02:42:24,663 - mmseg - INFO - Iter [32450/160000] lr: 7.500e-05, eta: 8:39:13, time: 0.191, data_time: 0.008, memory: 52540, decode.loss_ce: 0.2062, decode.acc_seg: 91.6586, loss: 0.2062 +2023-03-05 02:42:34,297 - mmseg - INFO - Iter [32500/160000] lr: 7.500e-05, eta: 8:38:51, time: 0.193, data_time: 0.007, memory: 52540, decode.loss_ce: 0.2089, decode.acc_seg: 91.5299, loss: 0.2089 +2023-03-05 02:42:44,006 - mmseg - INFO - Iter [32550/160000] lr: 7.500e-05, eta: 8:38:29, time: 0.194, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1956, decode.acc_seg: 91.9322, loss: 0.1956 +2023-03-05 02:42:53,610 - mmseg - INFO - Iter [32600/160000] lr: 7.500e-05, eta: 8:38:07, time: 0.192, data_time: 0.008, memory: 52540, decode.loss_ce: 0.1981, decode.acc_seg: 91.7631, loss: 0.1981 +2023-03-05 02:43:03,451 - mmseg - INFO - Iter [32650/160000] lr: 7.500e-05, eta: 8:37:45, time: 0.197, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1970, decode.acc_seg: 91.7898, loss: 0.1970 +2023-03-05 02:43:13,207 - mmseg - INFO - Iter [32700/160000] lr: 7.500e-05, eta: 8:37:24, time: 0.195, data_time: 0.008, memory: 52540, decode.loss_ce: 0.1955, decode.acc_seg: 91.9899, loss: 0.1955 +2023-03-05 02:43:22,763 - mmseg - INFO - Iter [32750/160000] lr: 7.500e-05, eta: 8:37:01, time: 0.191, data_time: 0.008, memory: 52540, decode.loss_ce: 0.1914, decode.acc_seg: 92.0502, loss: 0.1914 +2023-03-05 02:43:32,596 - mmseg - INFO - Iter [32800/160000] lr: 7.500e-05, eta: 8:36:40, time: 0.197, data_time: 0.008, memory: 52540, decode.loss_ce: 0.1964, decode.acc_seg: 91.9876, loss: 0.1964 +2023-03-05 02:43:45,179 - mmseg - INFO - Iter [32850/160000] lr: 7.500e-05, eta: 8:36:29, time: 0.252, data_time: 0.055, memory: 52540, decode.loss_ce: 0.2044, decode.acc_seg: 91.6912, loss: 0.2044 +2023-03-05 02:43:54,771 - mmseg - INFO - Iter [32900/160000] lr: 7.500e-05, eta: 8:36:07, time: 0.192, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1973, decode.acc_seg: 91.9829, loss: 0.1973 +2023-03-05 02:44:04,491 - mmseg - INFO - Iter [32950/160000] lr: 7.500e-05, eta: 8:35:45, time: 0.194, data_time: 0.007, memory: 52540, decode.loss_ce: 0.2035, decode.acc_seg: 91.7648, loss: 0.2035 +2023-03-05 02:44:14,799 - mmseg - INFO - Exp name: ablation_segformer_mit_b2_segformer_head_unet_fc_small_multi_step_ade_pretrained_freeze_embed_160k_ade20k151_mask_finetune_maskreplace.py +2023-03-05 02:44:14,799 - mmseg - INFO - Iter [33000/160000] lr: 7.500e-05, eta: 8:35:26, time: 0.206, data_time: 0.008, memory: 52540, decode.loss_ce: 0.2090, decode.acc_seg: 91.6824, loss: 0.2090 +2023-03-05 02:44:24,675 - mmseg - INFO - Iter [33050/160000] lr: 7.500e-05, eta: 8:35:05, time: 0.198, data_time: 0.008, memory: 52540, decode.loss_ce: 0.1927, decode.acc_seg: 91.9337, loss: 0.1927 +2023-03-05 02:44:34,481 - mmseg - INFO - Iter [33100/160000] lr: 7.500e-05, eta: 8:34:44, time: 0.196, data_time: 0.008, memory: 52540, decode.loss_ce: 0.1950, decode.acc_seg: 91.8817, loss: 0.1950 +2023-03-05 02:44:44,196 - mmseg - INFO - Iter [33150/160000] lr: 7.500e-05, eta: 8:34:22, time: 0.194, data_time: 0.008, memory: 52540, decode.loss_ce: 0.1996, decode.acc_seg: 91.8002, loss: 0.1996 +2023-03-05 02:44:53,810 - mmseg - INFO - Iter [33200/160000] lr: 7.500e-05, eta: 8:34:00, time: 0.192, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1953, decode.acc_seg: 92.0037, loss: 0.1953 +2023-03-05 02:45:03,427 - mmseg - INFO - Iter [33250/160000] lr: 7.500e-05, eta: 8:33:38, time: 0.192, data_time: 0.008, memory: 52540, decode.loss_ce: 0.2017, decode.acc_seg: 91.6458, loss: 0.2017 +2023-03-05 02:45:13,319 - mmseg - INFO - Iter [33300/160000] lr: 7.500e-05, eta: 8:33:17, time: 0.198, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1983, decode.acc_seg: 91.7864, loss: 0.1983 +2023-03-05 02:45:23,471 - mmseg - INFO - Iter [33350/160000] lr: 7.500e-05, eta: 8:32:58, time: 0.203, data_time: 0.007, memory: 52540, decode.loss_ce: 0.2110, decode.acc_seg: 91.6320, loss: 0.2110 +2023-03-05 02:45:33,135 - mmseg - INFO - Iter [33400/160000] lr: 7.500e-05, eta: 8:32:36, time: 0.193, data_time: 0.008, memory: 52540, decode.loss_ce: 0.1954, decode.acc_seg: 92.0126, loss: 0.1954 +2023-03-05 02:45:45,302 - mmseg - INFO - Iter [33450/160000] lr: 7.500e-05, eta: 8:32:24, time: 0.244, data_time: 0.055, memory: 52540, decode.loss_ce: 0.2042, decode.acc_seg: 91.6835, loss: 0.2042 +2023-03-05 02:45:55,107 - mmseg - INFO - Iter [33500/160000] lr: 7.500e-05, eta: 8:32:03, time: 0.196, data_time: 0.008, memory: 52540, decode.loss_ce: 0.2034, decode.acc_seg: 91.6574, loss: 0.2034 +2023-03-05 02:46:04,725 - mmseg - INFO - Iter [33550/160000] lr: 7.500e-05, eta: 8:31:41, time: 0.192, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1978, decode.acc_seg: 91.8180, loss: 0.1978 +2023-03-05 02:46:14,418 - mmseg - INFO - Iter [33600/160000] lr: 7.500e-05, eta: 8:31:20, time: 0.194, data_time: 0.007, memory: 52540, decode.loss_ce: 0.2081, decode.acc_seg: 91.6825, loss: 0.2081 +2023-03-05 02:46:24,134 - mmseg - INFO - Iter [33650/160000] lr: 7.500e-05, eta: 8:30:59, time: 0.194, data_time: 0.007, memory: 52540, decode.loss_ce: 0.2013, decode.acc_seg: 91.8421, loss: 0.2013 +2023-03-05 02:46:33,733 - mmseg - INFO - Iter [33700/160000] lr: 7.500e-05, eta: 8:30:37, time: 0.192, data_time: 0.008, memory: 52540, decode.loss_ce: 0.2004, decode.acc_seg: 91.8850, loss: 0.2004 +2023-03-05 02:46:43,455 - mmseg - INFO - Iter [33750/160000] lr: 7.500e-05, eta: 8:30:16, time: 0.195, data_time: 0.008, memory: 52540, decode.loss_ce: 0.2049, decode.acc_seg: 91.6425, loss: 0.2049 +2023-03-05 02:46:53,141 - mmseg - INFO - Iter [33800/160000] lr: 7.500e-05, eta: 8:29:55, time: 0.194, data_time: 0.007, memory: 52540, decode.loss_ce: 0.2000, decode.acc_seg: 91.7065, loss: 0.2000 +2023-03-05 02:47:02,881 - mmseg - INFO - Iter [33850/160000] lr: 7.500e-05, eta: 8:29:34, time: 0.195, data_time: 0.008, memory: 52540, decode.loss_ce: 0.2000, decode.acc_seg: 91.6953, loss: 0.2000 +2023-03-05 02:47:12,517 - mmseg - INFO - Iter [33900/160000] lr: 7.500e-05, eta: 8:29:12, time: 0.193, data_time: 0.008, memory: 52540, decode.loss_ce: 0.1929, decode.acc_seg: 92.0952, loss: 0.1929 +2023-03-05 02:47:22,355 - mmseg - INFO - Iter [33950/160000] lr: 7.500e-05, eta: 8:28:52, time: 0.197, data_time: 0.007, memory: 52540, decode.loss_ce: 0.2000, decode.acc_seg: 91.8801, loss: 0.2000 +2023-03-05 02:47:32,188 - mmseg - INFO - Exp name: ablation_segformer_mit_b2_segformer_head_unet_fc_small_multi_step_ade_pretrained_freeze_embed_160k_ade20k151_mask_finetune_maskreplace.py +2023-03-05 02:47:32,189 - mmseg - INFO - Iter [34000/160000] lr: 7.500e-05, eta: 8:28:31, time: 0.197, data_time: 0.008, memory: 52540, decode.loss_ce: 0.2029, decode.acc_seg: 91.7423, loss: 0.2029 +2023-03-05 02:47:42,018 - mmseg - INFO - Iter [34050/160000] lr: 7.500e-05, eta: 8:28:11, time: 0.197, data_time: 0.007, memory: 52540, decode.loss_ce: 0.2070, decode.acc_seg: 91.7001, loss: 0.2070 +2023-03-05 02:47:54,084 - mmseg - INFO - Iter [34100/160000] lr: 7.500e-05, eta: 8:27:59, time: 0.241, data_time: 0.055, memory: 52540, decode.loss_ce: 0.2115, decode.acc_seg: 91.3627, loss: 0.2115 +2023-03-05 02:48:03,785 - mmseg - INFO - Iter [34150/160000] lr: 7.500e-05, eta: 8:27:38, time: 0.194, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1957, decode.acc_seg: 92.0303, loss: 0.1957 +2023-03-05 02:48:13,579 - mmseg - INFO - Iter [34200/160000] lr: 7.500e-05, eta: 8:27:17, time: 0.196, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1943, decode.acc_seg: 92.1896, loss: 0.1943 +2023-03-05 02:48:23,252 - mmseg - INFO - Iter [34250/160000] lr: 7.500e-05, eta: 8:26:56, time: 0.193, data_time: 0.007, memory: 52540, decode.loss_ce: 0.2001, decode.acc_seg: 91.8082, loss: 0.2001 +2023-03-05 02:48:33,368 - mmseg - INFO - Iter [34300/160000] lr: 7.500e-05, eta: 8:26:37, time: 0.202, data_time: 0.007, memory: 52540, decode.loss_ce: 0.2005, decode.acc_seg: 91.7334, loss: 0.2005 +2023-03-05 02:48:43,112 - mmseg - INFO - Iter [34350/160000] lr: 7.500e-05, eta: 8:26:16, time: 0.195, data_time: 0.008, memory: 52540, decode.loss_ce: 0.1955, decode.acc_seg: 92.0824, loss: 0.1955 +2023-03-05 02:48:52,803 - mmseg - INFO - Iter [34400/160000] lr: 7.500e-05, eta: 8:25:55, time: 0.194, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1959, decode.acc_seg: 91.9028, loss: 0.1959 +2023-03-05 02:49:02,552 - mmseg - INFO - Iter [34450/160000] lr: 7.500e-05, eta: 8:25:35, time: 0.195, data_time: 0.007, memory: 52540, decode.loss_ce: 0.2054, decode.acc_seg: 91.5559, loss: 0.2054 +2023-03-05 02:49:12,350 - mmseg - INFO - Iter [34500/160000] lr: 7.500e-05, eta: 8:25:14, time: 0.196, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1914, decode.acc_seg: 91.9470, loss: 0.1914 +2023-03-05 02:49:22,160 - mmseg - INFO - Iter [34550/160000] lr: 7.500e-05, eta: 8:24:54, time: 0.196, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1955, decode.acc_seg: 91.9822, loss: 0.1955 +2023-03-05 02:49:32,014 - mmseg - INFO - Iter [34600/160000] lr: 7.500e-05, eta: 8:24:34, time: 0.197, data_time: 0.007, memory: 52540, decode.loss_ce: 0.2001, decode.acc_seg: 91.7474, loss: 0.2001 +2023-03-05 02:49:41,749 - mmseg - INFO - Iter [34650/160000] lr: 7.500e-05, eta: 8:24:13, time: 0.194, data_time: 0.008, memory: 52540, decode.loss_ce: 0.1996, decode.acc_seg: 91.6586, loss: 0.1996 +2023-03-05 02:49:52,394 - mmseg - INFO - Iter [34700/160000] lr: 7.500e-05, eta: 8:23:56, time: 0.213, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1977, decode.acc_seg: 91.8922, loss: 0.1977 +2023-03-05 02:50:04,633 - mmseg - INFO - Iter [34750/160000] lr: 7.500e-05, eta: 8:23:45, time: 0.245, data_time: 0.054, memory: 52540, decode.loss_ce: 0.2016, decode.acc_seg: 91.8754, loss: 0.2016 +2023-03-05 02:50:14,417 - mmseg - INFO - Iter [34800/160000] lr: 7.500e-05, eta: 8:23:24, time: 0.196, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1931, decode.acc_seg: 92.1085, loss: 0.1931 +2023-03-05 02:50:24,116 - mmseg - INFO - Iter [34850/160000] lr: 7.500e-05, eta: 8:23:04, time: 0.194, data_time: 0.007, memory: 52540, decode.loss_ce: 0.2066, decode.acc_seg: 91.5717, loss: 0.2066 +2023-03-05 02:50:33,758 - mmseg - INFO - Iter [34900/160000] lr: 7.500e-05, eta: 8:22:43, time: 0.193, data_time: 0.008, memory: 52540, decode.loss_ce: 0.2007, decode.acc_seg: 91.8639, loss: 0.2007 +2023-03-05 02:50:43,445 - mmseg - INFO - Iter [34950/160000] lr: 7.500e-05, eta: 8:22:23, time: 0.194, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1960, decode.acc_seg: 91.9227, loss: 0.1960 +2023-03-05 02:50:52,963 - mmseg - INFO - Exp name: ablation_segformer_mit_b2_segformer_head_unet_fc_small_multi_step_ade_pretrained_freeze_embed_160k_ade20k151_mask_finetune_maskreplace.py +2023-03-05 02:50:52,963 - mmseg - INFO - Iter [35000/160000] lr: 7.500e-05, eta: 8:22:01, time: 0.190, data_time: 0.007, memory: 52540, decode.loss_ce: 0.2076, decode.acc_seg: 91.5678, loss: 0.2076 +2023-03-05 02:51:02,542 - mmseg - INFO - Iter [35050/160000] lr: 7.500e-05, eta: 8:21:41, time: 0.192, data_time: 0.007, memory: 52540, decode.loss_ce: 0.2054, decode.acc_seg: 91.5464, loss: 0.2054 +2023-03-05 02:51:12,112 - mmseg - INFO - Iter [35100/160000] lr: 7.500e-05, eta: 8:21:20, time: 0.191, data_time: 0.007, memory: 52540, decode.loss_ce: 0.2058, decode.acc_seg: 91.6243, loss: 0.2058 +2023-03-05 02:51:21,668 - mmseg - INFO - Iter [35150/160000] lr: 7.500e-05, eta: 8:20:59, time: 0.191, data_time: 0.008, memory: 52540, decode.loss_ce: 0.2032, decode.acc_seg: 91.6741, loss: 0.2032 +2023-03-05 02:51:31,340 - mmseg - INFO - Iter [35200/160000] lr: 7.500e-05, eta: 8:20:38, time: 0.193, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1965, decode.acc_seg: 91.9583, loss: 0.1965 +2023-03-05 02:51:41,069 - mmseg - INFO - Iter [35250/160000] lr: 7.500e-05, eta: 8:20:18, time: 0.195, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1927, decode.acc_seg: 92.0487, loss: 0.1927 +2023-03-05 02:51:50,752 - mmseg - INFO - Iter [35300/160000] lr: 7.500e-05, eta: 8:19:58, time: 0.194, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1979, decode.acc_seg: 91.9229, loss: 0.1979 +2023-03-05 02:52:02,955 - mmseg - INFO - Iter [35350/160000] lr: 7.500e-05, eta: 8:19:46, time: 0.244, data_time: 0.055, memory: 52540, decode.loss_ce: 0.2055, decode.acc_seg: 91.5297, loss: 0.2055 +2023-03-05 02:52:12,522 - mmseg - INFO - Iter [35400/160000] lr: 7.500e-05, eta: 8:19:26, time: 0.191, data_time: 0.007, memory: 52540, decode.loss_ce: 0.2040, decode.acc_seg: 91.6920, loss: 0.2040 +2023-03-05 02:52:22,048 - mmseg - INFO - Iter [35450/160000] lr: 7.500e-05, eta: 8:19:05, time: 0.191, data_time: 0.008, memory: 52540, decode.loss_ce: 0.1982, decode.acc_seg: 92.0456, loss: 0.1982 +2023-03-05 02:52:31,899 - mmseg - INFO - Iter [35500/160000] lr: 7.500e-05, eta: 8:18:45, time: 0.197, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1928, decode.acc_seg: 92.0739, loss: 0.1928 +2023-03-05 02:52:41,482 - mmseg - INFO - Iter [35550/160000] lr: 7.500e-05, eta: 8:18:25, time: 0.192, data_time: 0.007, memory: 52540, decode.loss_ce: 0.2054, decode.acc_seg: 91.6330, loss: 0.2054 +2023-03-05 02:52:51,146 - mmseg - INFO - Iter [35600/160000] lr: 7.500e-05, eta: 8:18:04, time: 0.193, data_time: 0.007, memory: 52540, decode.loss_ce: 0.2085, decode.acc_seg: 91.4291, loss: 0.2085 +2023-03-05 02:53:00,916 - mmseg - INFO - Iter [35650/160000] lr: 7.500e-05, eta: 8:17:45, time: 0.196, data_time: 0.008, memory: 52540, decode.loss_ce: 0.1998, decode.acc_seg: 91.7666, loss: 0.1998 +2023-03-05 02:53:10,443 - mmseg - INFO - Iter [35700/160000] lr: 7.500e-05, eta: 8:17:24, time: 0.191, data_time: 0.008, memory: 52540, decode.loss_ce: 0.2032, decode.acc_seg: 91.7734, loss: 0.2032 +2023-03-05 02:53:20,264 - mmseg - INFO - Iter [35750/160000] lr: 7.500e-05, eta: 8:17:04, time: 0.196, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1976, decode.acc_seg: 91.8067, loss: 0.1976 +2023-03-05 02:53:30,050 - mmseg - INFO - Iter [35800/160000] lr: 7.500e-05, eta: 8:16:45, time: 0.196, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1982, decode.acc_seg: 91.7803, loss: 0.1982 +2023-03-05 02:53:39,862 - mmseg - INFO - Iter [35850/160000] lr: 7.500e-05, eta: 8:16:25, time: 0.196, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1999, decode.acc_seg: 91.9328, loss: 0.1999 +2023-03-05 02:53:49,726 - mmseg - INFO - Iter [35900/160000] lr: 7.500e-05, eta: 8:16:06, time: 0.198, data_time: 0.008, memory: 52540, decode.loss_ce: 0.1962, decode.acc_seg: 91.9038, loss: 0.1962 +2023-03-05 02:53:59,598 - mmseg - INFO - Iter [35950/160000] lr: 7.500e-05, eta: 8:15:46, time: 0.197, data_time: 0.008, memory: 52540, decode.loss_ce: 0.1922, decode.acc_seg: 92.0532, loss: 0.1922 +2023-03-05 02:54:11,956 - mmseg - INFO - Exp name: ablation_segformer_mit_b2_segformer_head_unet_fc_small_multi_step_ade_pretrained_freeze_embed_160k_ade20k151_mask_finetune_maskreplace.py +2023-03-05 02:54:11,956 - mmseg - INFO - Iter [36000/160000] lr: 7.500e-05, eta: 8:15:36, time: 0.247, data_time: 0.054, memory: 52540, decode.loss_ce: 0.1966, decode.acc_seg: 91.9604, loss: 0.1966 +2023-03-05 02:54:21,554 - mmseg - INFO - Iter [36050/160000] lr: 7.500e-05, eta: 8:15:16, time: 0.192, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1934, decode.acc_seg: 92.0504, loss: 0.1934 +2023-03-05 02:54:31,307 - mmseg - INFO - Iter [36100/160000] lr: 7.500e-05, eta: 8:14:56, time: 0.195, data_time: 0.007, memory: 52540, decode.loss_ce: 0.2063, decode.acc_seg: 91.5929, loss: 0.2063 +2023-03-05 02:54:40,907 - mmseg - INFO - Iter [36150/160000] lr: 7.500e-05, eta: 8:14:36, time: 0.192, data_time: 0.008, memory: 52540, decode.loss_ce: 0.1952, decode.acc_seg: 91.9966, loss: 0.1952 +2023-03-05 02:54:50,467 - mmseg - INFO - Iter [36200/160000] lr: 7.500e-05, eta: 8:14:16, time: 0.191, data_time: 0.007, memory: 52540, decode.loss_ce: 0.2055, decode.acc_seg: 91.5712, loss: 0.2055 +2023-03-05 02:55:00,215 - mmseg - INFO - Iter [36250/160000] lr: 7.500e-05, eta: 8:13:56, time: 0.195, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1984, decode.acc_seg: 91.8654, loss: 0.1984 +2023-03-05 02:55:10,491 - mmseg - INFO - Iter [36300/160000] lr: 7.500e-05, eta: 8:13:38, time: 0.205, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1949, decode.acc_seg: 91.8196, loss: 0.1949 +2023-03-05 02:55:20,284 - mmseg - INFO - Iter [36350/160000] lr: 7.500e-05, eta: 8:13:19, time: 0.196, data_time: 0.008, memory: 52540, decode.loss_ce: 0.1893, decode.acc_seg: 92.0568, loss: 0.1893 +2023-03-05 02:55:29,967 - mmseg - INFO - Iter [36400/160000] lr: 7.500e-05, eta: 8:12:59, time: 0.194, data_time: 0.008, memory: 52540, decode.loss_ce: 0.2022, decode.acc_seg: 91.6531, loss: 0.2022 +2023-03-05 02:55:40,110 - mmseg - INFO - Iter [36450/160000] lr: 7.500e-05, eta: 8:12:41, time: 0.203, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1971, decode.acc_seg: 91.8629, loss: 0.1971 +2023-03-05 02:55:50,003 - mmseg - INFO - Iter [36500/160000] lr: 7.500e-05, eta: 8:12:22, time: 0.198, data_time: 0.007, memory: 52540, decode.loss_ce: 0.2116, decode.acc_seg: 91.4896, loss: 0.2116 +2023-03-05 02:55:59,660 - mmseg - INFO - Iter [36550/160000] lr: 7.500e-05, eta: 8:12:02, time: 0.193, data_time: 0.008, memory: 52540, decode.loss_ce: 0.2022, decode.acc_seg: 91.7975, loss: 0.2022 +2023-03-05 02:56:11,753 - mmseg - INFO - Iter [36600/160000] lr: 7.500e-05, eta: 8:11:51, time: 0.242, data_time: 0.057, memory: 52540, decode.loss_ce: 0.2043, decode.acc_seg: 91.5742, loss: 0.2043 +2023-03-05 02:56:21,516 - mmseg - INFO - Iter [36650/160000] lr: 7.500e-05, eta: 8:11:31, time: 0.195, data_time: 0.007, memory: 52540, decode.loss_ce: 0.2017, decode.acc_seg: 91.7839, loss: 0.2017 +2023-03-05 02:56:31,146 - mmseg - INFO - Iter [36700/160000] lr: 7.500e-05, eta: 8:11:12, time: 0.192, data_time: 0.007, memory: 52540, decode.loss_ce: 0.2057, decode.acc_seg: 91.7550, loss: 0.2057 +2023-03-05 02:56:41,003 - mmseg - INFO - Iter [36750/160000] lr: 7.500e-05, eta: 8:10:53, time: 0.197, data_time: 0.007, memory: 52540, decode.loss_ce: 0.2084, decode.acc_seg: 91.4927, loss: 0.2084 +2023-03-05 02:56:50,650 - mmseg - INFO - Iter [36800/160000] lr: 7.500e-05, eta: 8:10:33, time: 0.193, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1981, decode.acc_seg: 91.7725, loss: 0.1981 +2023-03-05 02:57:00,212 - mmseg - INFO - Iter [36850/160000] lr: 7.500e-05, eta: 8:10:13, time: 0.191, data_time: 0.008, memory: 52540, decode.loss_ce: 0.1989, decode.acc_seg: 91.8126, loss: 0.1989 +2023-03-05 02:57:10,140 - mmseg - INFO - Iter [36900/160000] lr: 7.500e-05, eta: 8:09:54, time: 0.198, data_time: 0.008, memory: 52540, decode.loss_ce: 0.2067, decode.acc_seg: 91.5521, loss: 0.2067 +2023-03-05 02:57:19,745 - mmseg - INFO - Iter [36950/160000] lr: 7.500e-05, eta: 8:09:35, time: 0.192, data_time: 0.008, memory: 52540, decode.loss_ce: 0.2011, decode.acc_seg: 91.8022, loss: 0.2011 +2023-03-05 02:57:29,517 - mmseg - INFO - Exp name: ablation_segformer_mit_b2_segformer_head_unet_fc_small_multi_step_ade_pretrained_freeze_embed_160k_ade20k151_mask_finetune_maskreplace.py +2023-03-05 02:57:29,517 - mmseg - INFO - Iter [37000/160000] lr: 7.500e-05, eta: 8:09:16, time: 0.195, data_time: 0.007, memory: 52540, decode.loss_ce: 0.2040, decode.acc_seg: 91.7040, loss: 0.2040 +2023-03-05 02:57:39,125 - mmseg - INFO - Iter [37050/160000] lr: 7.500e-05, eta: 8:08:56, time: 0.192, data_time: 0.008, memory: 52540, decode.loss_ce: 0.2090, decode.acc_seg: 91.4901, loss: 0.2090 +2023-03-05 02:57:48,802 - mmseg - INFO - Iter [37100/160000] lr: 7.500e-05, eta: 8:08:36, time: 0.194, data_time: 0.008, memory: 52540, decode.loss_ce: 0.1986, decode.acc_seg: 91.9430, loss: 0.1986 +2023-03-05 02:57:58,576 - mmseg - INFO - Iter [37150/160000] lr: 7.500e-05, eta: 8:08:17, time: 0.195, data_time: 0.007, memory: 52540, decode.loss_ce: 0.2001, decode.acc_seg: 91.7685, loss: 0.2001 +2023-03-05 02:58:08,384 - mmseg - INFO - Iter [37200/160000] lr: 7.500e-05, eta: 8:07:59, time: 0.196, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1990, decode.acc_seg: 91.8628, loss: 0.1990 +2023-03-05 02:58:20,570 - mmseg - INFO - Iter [37250/160000] lr: 7.500e-05, eta: 8:07:47, time: 0.244, data_time: 0.055, memory: 52540, decode.loss_ce: 0.2066, decode.acc_seg: 91.6001, loss: 0.2066 +2023-03-05 02:58:30,157 - mmseg - INFO - Iter [37300/160000] lr: 7.500e-05, eta: 8:07:28, time: 0.192, data_time: 0.007, memory: 52540, decode.loss_ce: 0.2060, decode.acc_seg: 91.7444, loss: 0.2060 +2023-03-05 02:58:39,712 - mmseg - INFO - Iter [37350/160000] lr: 7.500e-05, eta: 8:07:08, time: 0.191, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1899, decode.acc_seg: 92.1303, loss: 0.1899 +2023-03-05 02:58:49,488 - mmseg - INFO - Iter [37400/160000] lr: 7.500e-05, eta: 8:06:49, time: 0.195, data_time: 0.007, memory: 52540, decode.loss_ce: 0.2015, decode.acc_seg: 91.7466, loss: 0.2015 +2023-03-05 02:58:59,098 - mmseg - INFO - Iter [37450/160000] lr: 7.500e-05, eta: 8:06:30, time: 0.192, data_time: 0.008, memory: 52540, decode.loss_ce: 0.2100, decode.acc_seg: 91.4928, loss: 0.2100 +2023-03-05 02:59:08,843 - mmseg - INFO - Iter [37500/160000] lr: 7.500e-05, eta: 8:06:11, time: 0.195, data_time: 0.008, memory: 52540, decode.loss_ce: 0.1979, decode.acc_seg: 91.8805, loss: 0.1979 +2023-03-05 02:59:18,615 - mmseg - INFO - Iter [37550/160000] lr: 7.500e-05, eta: 8:05:52, time: 0.195, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1991, decode.acc_seg: 91.9425, loss: 0.1991 +2023-03-05 02:59:28,737 - mmseg - INFO - Iter [37600/160000] lr: 7.500e-05, eta: 8:05:34, time: 0.202, data_time: 0.008, memory: 52540, decode.loss_ce: 0.2123, decode.acc_seg: 91.3718, loss: 0.2123 +2023-03-05 02:59:38,364 - mmseg - INFO - Iter [37650/160000] lr: 7.500e-05, eta: 8:05:15, time: 0.193, data_time: 0.007, memory: 52540, decode.loss_ce: 0.2005, decode.acc_seg: 91.7256, loss: 0.2005 +2023-03-05 02:59:47,886 - mmseg - INFO - Iter [37700/160000] lr: 7.500e-05, eta: 8:04:55, time: 0.190, data_time: 0.007, memory: 52540, decode.loss_ce: 0.2038, decode.acc_seg: 91.8147, loss: 0.2038 +2023-03-05 02:59:57,763 - mmseg - INFO - Iter [37750/160000] lr: 7.500e-05, eta: 8:04:37, time: 0.198, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1926, decode.acc_seg: 92.0681, loss: 0.1926 +2023-03-05 03:00:07,406 - mmseg - INFO - Iter [37800/160000] lr: 7.500e-05, eta: 8:04:18, time: 0.193, data_time: 0.007, memory: 52540, decode.loss_ce: 0.2011, decode.acc_seg: 91.8127, loss: 0.2011 +2023-03-05 03:00:17,230 - mmseg - INFO - Iter [37850/160000] lr: 7.500e-05, eta: 8:03:59, time: 0.196, data_time: 0.008, memory: 52540, decode.loss_ce: 0.1956, decode.acc_seg: 91.9361, loss: 0.1956 +2023-03-05 03:00:29,376 - mmseg - INFO - Iter [37900/160000] lr: 7.500e-05, eta: 8:03:48, time: 0.243, data_time: 0.056, memory: 52540, decode.loss_ce: 0.1912, decode.acc_seg: 92.1413, loss: 0.1912 +2023-03-05 03:00:38,919 - mmseg - INFO - Iter [37950/160000] lr: 7.500e-05, eta: 8:03:29, time: 0.191, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1981, decode.acc_seg: 91.8372, loss: 0.1981 +2023-03-05 03:00:48,493 - mmseg - INFO - Exp name: ablation_segformer_mit_b2_segformer_head_unet_fc_small_multi_step_ade_pretrained_freeze_embed_160k_ade20k151_mask_finetune_maskreplace.py +2023-03-05 03:00:48,493 - mmseg - INFO - Iter [38000/160000] lr: 7.500e-05, eta: 8:03:09, time: 0.191, data_time: 0.008, memory: 52540, decode.loss_ce: 0.1977, decode.acc_seg: 91.8999, loss: 0.1977 +2023-03-05 03:00:58,026 - mmseg - INFO - Iter [38050/160000] lr: 7.500e-05, eta: 8:02:50, time: 0.191, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1962, decode.acc_seg: 91.8791, loss: 0.1962 +2023-03-05 03:01:07,685 - mmseg - INFO - Iter [38100/160000] lr: 7.500e-05, eta: 8:02:31, time: 0.193, data_time: 0.008, memory: 52540, decode.loss_ce: 0.2007, decode.acc_seg: 91.8650, loss: 0.2007 +2023-03-05 03:01:17,254 - mmseg - INFO - Iter [38150/160000] lr: 7.500e-05, eta: 8:02:12, time: 0.191, data_time: 0.007, memory: 52540, decode.loss_ce: 0.2010, decode.acc_seg: 91.7810, loss: 0.2010 +2023-03-05 03:01:26,810 - mmseg - INFO - Iter [38200/160000] lr: 7.500e-05, eta: 8:01:53, time: 0.191, data_time: 0.008, memory: 52540, decode.loss_ce: 0.2020, decode.acc_seg: 91.7667, loss: 0.2020 +2023-03-05 03:01:36,334 - mmseg - INFO - Iter [38250/160000] lr: 7.500e-05, eta: 8:01:33, time: 0.190, data_time: 0.008, memory: 52540, decode.loss_ce: 0.1974, decode.acc_seg: 91.7206, loss: 0.1974 +2023-03-05 03:01:46,057 - mmseg - INFO - Iter [38300/160000] lr: 7.500e-05, eta: 8:01:15, time: 0.194, data_time: 0.008, memory: 52540, decode.loss_ce: 0.2054, decode.acc_seg: 91.4918, loss: 0.2054 +2023-03-05 03:01:55,690 - mmseg - INFO - Iter [38350/160000] lr: 7.500e-05, eta: 8:00:56, time: 0.193, data_time: 0.008, memory: 52540, decode.loss_ce: 0.2066, decode.acc_seg: 91.6224, loss: 0.2066 +2023-03-05 03:02:05,197 - mmseg - INFO - Iter [38400/160000] lr: 7.500e-05, eta: 8:00:36, time: 0.190, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1989, decode.acc_seg: 91.9126, loss: 0.1989 +2023-03-05 03:02:15,106 - mmseg - INFO - Iter [38450/160000] lr: 7.500e-05, eta: 8:00:18, time: 0.198, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1992, decode.acc_seg: 91.8579, loss: 0.1992 +2023-03-05 03:02:27,271 - mmseg - INFO - Iter [38500/160000] lr: 7.500e-05, eta: 8:00:07, time: 0.243, data_time: 0.057, memory: 52540, decode.loss_ce: 0.1981, decode.acc_seg: 91.8022, loss: 0.1981 +2023-03-05 03:02:36,854 - mmseg - INFO - Iter [38550/160000] lr: 7.500e-05, eta: 7:59:48, time: 0.192, data_time: 0.007, memory: 52540, decode.loss_ce: 0.2033, decode.acc_seg: 91.6283, loss: 0.2033 +2023-03-05 03:02:46,698 - mmseg - INFO - Iter [38600/160000] lr: 7.500e-05, eta: 7:59:30, time: 0.197, data_time: 0.008, memory: 52540, decode.loss_ce: 0.2044, decode.acc_seg: 91.7794, loss: 0.2044 +2023-03-05 03:02:56,524 - mmseg - INFO - Iter [38650/160000] lr: 7.500e-05, eta: 7:59:12, time: 0.197, data_time: 0.008, memory: 52540, decode.loss_ce: 0.2078, decode.acc_seg: 91.4992, loss: 0.2078 +2023-03-05 03:03:06,059 - mmseg - INFO - Iter [38700/160000] lr: 7.500e-05, eta: 7:58:53, time: 0.190, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1976, decode.acc_seg: 91.9033, loss: 0.1976 +2023-03-05 03:03:15,961 - mmseg - INFO - Iter [38750/160000] lr: 7.500e-05, eta: 7:58:35, time: 0.198, data_time: 0.008, memory: 52540, decode.loss_ce: 0.2058, decode.acc_seg: 91.6355, loss: 0.2058 +2023-03-05 03:03:25,770 - mmseg - INFO - Iter [38800/160000] lr: 7.500e-05, eta: 7:58:17, time: 0.196, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1937, decode.acc_seg: 92.0999, loss: 0.1937 +2023-03-05 03:03:35,472 - mmseg - INFO - Iter [38850/160000] lr: 7.500e-05, eta: 7:57:58, time: 0.194, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1974, decode.acc_seg: 92.0101, loss: 0.1974 +2023-03-05 03:03:45,246 - mmseg - INFO - Iter [38900/160000] lr: 7.500e-05, eta: 7:57:40, time: 0.195, data_time: 0.007, memory: 52540, decode.loss_ce: 0.2039, decode.acc_seg: 91.8260, loss: 0.2039 +2023-03-05 03:03:54,996 - mmseg - INFO - Iter [38950/160000] lr: 7.500e-05, eta: 7:57:22, time: 0.195, data_time: 0.008, memory: 52540, decode.loss_ce: 0.2022, decode.acc_seg: 91.5759, loss: 0.2022 +2023-03-05 03:04:04,863 - mmseg - INFO - Exp name: ablation_segformer_mit_b2_segformer_head_unet_fc_small_multi_step_ade_pretrained_freeze_embed_160k_ade20k151_mask_finetune_maskreplace.py +2023-03-05 03:04:04,864 - mmseg - INFO - Iter [39000/160000] lr: 7.500e-05, eta: 7:57:04, time: 0.197, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1944, decode.acc_seg: 92.0240, loss: 0.1944 +2023-03-05 03:04:14,979 - mmseg - INFO - Iter [39050/160000] lr: 7.500e-05, eta: 7:56:47, time: 0.203, data_time: 0.008, memory: 52540, decode.loss_ce: 0.2051, decode.acc_seg: 91.7069, loss: 0.2051 +2023-03-05 03:04:24,827 - mmseg - INFO - Iter [39100/160000] lr: 7.500e-05, eta: 7:56:29, time: 0.197, data_time: 0.007, memory: 52540, decode.loss_ce: 0.2023, decode.acc_seg: 91.6611, loss: 0.2023 +2023-03-05 03:04:37,001 - mmseg - INFO - Iter [39150/160000] lr: 7.500e-05, eta: 7:56:18, time: 0.244, data_time: 0.055, memory: 52540, decode.loss_ce: 0.1978, decode.acc_seg: 91.8789, loss: 0.1978 +2023-03-05 03:04:46,691 - mmseg - INFO - Iter [39200/160000] lr: 7.500e-05, eta: 7:56:00, time: 0.194, data_time: 0.007, memory: 52540, decode.loss_ce: 0.2012, decode.acc_seg: 91.8112, loss: 0.2012 +2023-03-05 03:04:56,476 - mmseg - INFO - Iter [39250/160000] lr: 7.500e-05, eta: 7:55:41, time: 0.196, data_time: 0.008, memory: 52540, decode.loss_ce: 0.2043, decode.acc_seg: 91.6884, loss: 0.2043 +2023-03-05 03:05:06,212 - mmseg - INFO - Iter [39300/160000] lr: 7.500e-05, eta: 7:55:23, time: 0.195, data_time: 0.008, memory: 52540, decode.loss_ce: 0.1965, decode.acc_seg: 91.9629, loss: 0.1965 +2023-03-05 03:05:16,158 - mmseg - INFO - Iter [39350/160000] lr: 7.500e-05, eta: 7:55:06, time: 0.199, data_time: 0.008, memory: 52540, decode.loss_ce: 0.2018, decode.acc_seg: 91.8209, loss: 0.2018 +2023-03-05 03:05:25,787 - mmseg - INFO - Iter [39400/160000] lr: 7.500e-05, eta: 7:54:47, time: 0.193, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1986, decode.acc_seg: 91.8440, loss: 0.1986 +2023-03-05 03:05:35,491 - mmseg - INFO - Iter [39450/160000] lr: 7.500e-05, eta: 7:54:29, time: 0.194, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1983, decode.acc_seg: 91.7574, loss: 0.1983 +2023-03-05 03:05:45,100 - mmseg - INFO - Iter [39500/160000] lr: 7.500e-05, eta: 7:54:10, time: 0.192, data_time: 0.008, memory: 52540, decode.loss_ce: 0.1929, decode.acc_seg: 92.0687, loss: 0.1929 +2023-03-05 03:05:54,885 - mmseg - INFO - Iter [39550/160000] lr: 7.500e-05, eta: 7:53:52, time: 0.195, data_time: 0.007, memory: 52540, decode.loss_ce: 0.2077, decode.acc_seg: 91.6396, loss: 0.2077 +2023-03-05 03:06:04,675 - mmseg - INFO - Iter [39600/160000] lr: 7.500e-05, eta: 7:53:35, time: 0.196, data_time: 0.008, memory: 52540, decode.loss_ce: 0.1958, decode.acc_seg: 91.8832, loss: 0.1958 +2023-03-05 03:06:14,337 - mmseg - INFO - Iter [39650/160000] lr: 7.500e-05, eta: 7:53:16, time: 0.193, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1989, decode.acc_seg: 92.0013, loss: 0.1989 +2023-03-05 03:06:24,248 - mmseg - INFO - Iter [39700/160000] lr: 7.500e-05, eta: 7:52:59, time: 0.198, data_time: 0.008, memory: 52540, decode.loss_ce: 0.2007, decode.acc_seg: 91.8007, loss: 0.2007 +2023-03-05 03:06:34,207 - mmseg - INFO - Iter [39750/160000] lr: 7.500e-05, eta: 7:52:41, time: 0.199, data_time: 0.008, memory: 52540, decode.loss_ce: 0.2018, decode.acc_seg: 91.8772, loss: 0.2018 +2023-03-05 03:06:46,753 - mmseg - INFO - Iter [39800/160000] lr: 7.500e-05, eta: 7:52:32, time: 0.251, data_time: 0.054, memory: 52540, decode.loss_ce: 0.2005, decode.acc_seg: 91.6929, loss: 0.2005 +2023-03-05 03:06:56,496 - mmseg - INFO - Iter [39850/160000] lr: 7.500e-05, eta: 7:52:14, time: 0.195, data_time: 0.008, memory: 52540, decode.loss_ce: 0.1950, decode.acc_seg: 91.8745, loss: 0.1950 +2023-03-05 03:07:06,602 - mmseg - INFO - Iter [39900/160000] lr: 7.500e-05, eta: 7:51:57, time: 0.202, data_time: 0.007, memory: 52540, decode.loss_ce: 0.2064, decode.acc_seg: 91.5918, loss: 0.2064 +2023-03-05 03:07:16,349 - mmseg - INFO - Iter [39950/160000] lr: 7.500e-05, eta: 7:51:39, time: 0.195, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1996, decode.acc_seg: 91.7671, loss: 0.1996 +2023-03-05 03:07:25,924 - mmseg - INFO - Exp name: ablation_segformer_mit_b2_segformer_head_unet_fc_small_multi_step_ade_pretrained_freeze_embed_160k_ade20k151_mask_finetune_maskreplace.py +2023-03-05 03:07:25,925 - mmseg - INFO - Iter [40000/160000] lr: 7.500e-05, eta: 7:51:21, time: 0.191, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1992, decode.acc_seg: 91.9008, loss: 0.1992 +2023-03-05 03:07:35,784 - mmseg - INFO - Iter [40050/160000] lr: 3.750e-05, eta: 7:51:03, time: 0.197, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1952, decode.acc_seg: 91.9740, loss: 0.1952 +2023-03-05 03:07:45,446 - mmseg - INFO - Iter [40100/160000] lr: 3.750e-05, eta: 7:50:45, time: 0.193, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1932, decode.acc_seg: 92.1099, loss: 0.1932 +2023-03-05 03:07:55,192 - mmseg - INFO - Iter [40150/160000] lr: 3.750e-05, eta: 7:50:27, time: 0.195, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1979, decode.acc_seg: 91.6737, loss: 0.1979 +2023-03-05 03:08:04,880 - mmseg - INFO - Iter [40200/160000] lr: 3.750e-05, eta: 7:50:09, time: 0.194, data_time: 0.008, memory: 52540, decode.loss_ce: 0.1945, decode.acc_seg: 92.0225, loss: 0.1945 +2023-03-05 03:08:14,578 - mmseg - INFO - Iter [40250/160000] lr: 3.750e-05, eta: 7:49:51, time: 0.194, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1945, decode.acc_seg: 91.9928, loss: 0.1945 +2023-03-05 03:08:24,123 - mmseg - INFO - Iter [40300/160000] lr: 3.750e-05, eta: 7:49:33, time: 0.191, data_time: 0.008, memory: 52540, decode.loss_ce: 0.2019, decode.acc_seg: 91.7762, loss: 0.2019 +2023-03-05 03:08:33,714 - mmseg - INFO - Iter [40350/160000] lr: 3.750e-05, eta: 7:49:15, time: 0.192, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1781, decode.acc_seg: 92.6147, loss: 0.1781 +2023-03-05 03:08:46,139 - mmseg - INFO - Iter [40400/160000] lr: 3.750e-05, eta: 7:49:05, time: 0.248, data_time: 0.057, memory: 52540, decode.loss_ce: 0.1969, decode.acc_seg: 91.9516, loss: 0.1969 +2023-03-05 03:08:55,773 - mmseg - INFO - Iter [40450/160000] lr: 3.750e-05, eta: 7:48:47, time: 0.193, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1993, decode.acc_seg: 91.8985, loss: 0.1993 +2023-03-05 03:09:05,389 - mmseg - INFO - Iter [40500/160000] lr: 3.750e-05, eta: 7:48:29, time: 0.192, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1884, decode.acc_seg: 92.1840, loss: 0.1884 +2023-03-05 03:09:15,250 - mmseg - INFO - Iter [40550/160000] lr: 3.750e-05, eta: 7:48:11, time: 0.197, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1890, decode.acc_seg: 92.0907, loss: 0.1890 +2023-03-05 03:09:24,870 - mmseg - INFO - Iter [40600/160000] lr: 3.750e-05, eta: 7:47:53, time: 0.192, data_time: 0.008, memory: 52540, decode.loss_ce: 0.1930, decode.acc_seg: 92.0220, loss: 0.1930 +2023-03-05 03:09:34,714 - mmseg - INFO - Iter [40650/160000] lr: 3.750e-05, eta: 7:47:36, time: 0.197, data_time: 0.008, memory: 52540, decode.loss_ce: 0.1928, decode.acc_seg: 91.9649, loss: 0.1928 +2023-03-05 03:09:44,982 - mmseg - INFO - Iter [40700/160000] lr: 3.750e-05, eta: 7:47:20, time: 0.205, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1956, decode.acc_seg: 92.0688, loss: 0.1956 +2023-03-05 03:09:54,788 - mmseg - INFO - Iter [40750/160000] lr: 3.750e-05, eta: 7:47:02, time: 0.196, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1950, decode.acc_seg: 91.9853, loss: 0.1950 +2023-03-05 03:10:04,465 - mmseg - INFO - Iter [40800/160000] lr: 3.750e-05, eta: 7:46:44, time: 0.194, data_time: 0.008, memory: 52540, decode.loss_ce: 0.1946, decode.acc_seg: 92.1592, loss: 0.1946 +2023-03-05 03:10:14,198 - mmseg - INFO - Iter [40850/160000] lr: 3.750e-05, eta: 7:46:27, time: 0.194, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1974, decode.acc_seg: 91.6890, loss: 0.1974 +2023-03-05 03:10:23,869 - mmseg - INFO - Iter [40900/160000] lr: 3.750e-05, eta: 7:46:09, time: 0.193, data_time: 0.008, memory: 52540, decode.loss_ce: 0.1938, decode.acc_seg: 92.0025, loss: 0.1938 +2023-03-05 03:10:33,582 - mmseg - INFO - Iter [40950/160000] lr: 3.750e-05, eta: 7:45:51, time: 0.195, data_time: 0.008, memory: 52540, decode.loss_ce: 0.1900, decode.acc_seg: 92.1424, loss: 0.1900 +2023-03-05 03:10:43,554 - mmseg - INFO - Exp name: ablation_segformer_mit_b2_segformer_head_unet_fc_small_multi_step_ade_pretrained_freeze_embed_160k_ade20k151_mask_finetune_maskreplace.py +2023-03-05 03:10:43,555 - mmseg - INFO - Iter [41000/160000] lr: 3.750e-05, eta: 7:45:35, time: 0.199, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1950, decode.acc_seg: 91.8639, loss: 0.1950 +2023-03-05 03:10:55,736 - mmseg - INFO - Iter [41050/160000] lr: 3.750e-05, eta: 7:45:24, time: 0.243, data_time: 0.057, memory: 52540, decode.loss_ce: 0.1832, decode.acc_seg: 92.3354, loss: 0.1832 +2023-03-05 03:11:05,409 - mmseg - INFO - Iter [41100/160000] lr: 3.750e-05, eta: 7:45:06, time: 0.194, data_time: 0.008, memory: 52540, decode.loss_ce: 0.1988, decode.acc_seg: 91.8390, loss: 0.1988 +2023-03-05 03:11:15,224 - mmseg - INFO - Iter [41150/160000] lr: 3.750e-05, eta: 7:44:49, time: 0.196, data_time: 0.007, memory: 52540, decode.loss_ce: 0.2003, decode.acc_seg: 91.8940, loss: 0.2003 +2023-03-05 03:11:25,059 - mmseg - INFO - Iter [41200/160000] lr: 3.750e-05, eta: 7:44:32, time: 0.196, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1982, decode.acc_seg: 91.9064, loss: 0.1982 +2023-03-05 03:11:35,042 - mmseg - INFO - Iter [41250/160000] lr: 3.750e-05, eta: 7:44:15, time: 0.200, data_time: 0.008, memory: 52540, decode.loss_ce: 0.1965, decode.acc_seg: 91.9458, loss: 0.1965 +2023-03-05 03:11:44,869 - mmseg - INFO - Iter [41300/160000] lr: 3.750e-05, eta: 7:43:58, time: 0.197, data_time: 0.007, memory: 52540, decode.loss_ce: 0.2048, decode.acc_seg: 91.6578, loss: 0.2048 +2023-03-05 03:11:54,554 - mmseg - INFO - Iter [41350/160000] lr: 3.750e-05, eta: 7:43:40, time: 0.194, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1909, decode.acc_seg: 92.1234, loss: 0.1909 +2023-03-05 03:12:04,317 - mmseg - INFO - Iter [41400/160000] lr: 3.750e-05, eta: 7:43:23, time: 0.195, data_time: 0.008, memory: 52540, decode.loss_ce: 0.1960, decode.acc_seg: 92.0891, loss: 0.1960 +2023-03-05 03:12:13,982 - mmseg - INFO - Iter [41450/160000] lr: 3.750e-05, eta: 7:43:05, time: 0.193, data_time: 0.007, memory: 52540, decode.loss_ce: 0.2012, decode.acc_seg: 91.6745, loss: 0.2012 +2023-03-05 03:12:23,959 - mmseg - INFO - Iter [41500/160000] lr: 3.750e-05, eta: 7:42:49, time: 0.199, data_time: 0.008, memory: 52540, decode.loss_ce: 0.1982, decode.acc_seg: 91.9184, loss: 0.1982 +2023-03-05 03:12:33,743 - mmseg - INFO - Iter [41550/160000] lr: 3.750e-05, eta: 7:42:31, time: 0.196, data_time: 0.007, memory: 52540, decode.loss_ce: 0.2007, decode.acc_seg: 91.8017, loss: 0.2007 +2023-03-05 03:12:43,943 - mmseg - INFO - Iter [41600/160000] lr: 3.750e-05, eta: 7:42:15, time: 0.204, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1914, decode.acc_seg: 92.0985, loss: 0.1914 +2023-03-05 03:12:56,077 - mmseg - INFO - Iter [41650/160000] lr: 3.750e-05, eta: 7:42:05, time: 0.243, data_time: 0.056, memory: 52540, decode.loss_ce: 0.1952, decode.acc_seg: 91.9736, loss: 0.1952 +2023-03-05 03:13:05,767 - mmseg - INFO - Iter [41700/160000] lr: 3.750e-05, eta: 7:41:47, time: 0.194, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1934, decode.acc_seg: 91.9885, loss: 0.1934 +2023-03-05 03:13:15,567 - mmseg - INFO - Iter [41750/160000] lr: 3.750e-05, eta: 7:41:30, time: 0.196, data_time: 0.008, memory: 52540, decode.loss_ce: 0.1935, decode.acc_seg: 92.1143, loss: 0.1935 +2023-03-05 03:13:25,282 - mmseg - INFO - Iter [41800/160000] lr: 3.750e-05, eta: 7:41:13, time: 0.195, data_time: 0.008, memory: 52540, decode.loss_ce: 0.1962, decode.acc_seg: 91.9683, loss: 0.1962 +2023-03-05 03:13:35,158 - mmseg - INFO - Iter [41850/160000] lr: 3.750e-05, eta: 7:40:56, time: 0.197, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1975, decode.acc_seg: 91.9908, loss: 0.1975 +2023-03-05 03:13:44,743 - mmseg - INFO - Iter [41900/160000] lr: 3.750e-05, eta: 7:40:38, time: 0.192, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1934, decode.acc_seg: 92.0799, loss: 0.1934 +2023-03-05 03:13:54,401 - mmseg - INFO - Iter [41950/160000] lr: 3.750e-05, eta: 7:40:21, time: 0.193, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1895, decode.acc_seg: 92.2676, loss: 0.1895 +2023-03-05 03:14:04,202 - mmseg - INFO - Exp name: ablation_segformer_mit_b2_segformer_head_unet_fc_small_multi_step_ade_pretrained_freeze_embed_160k_ade20k151_mask_finetune_maskreplace.py +2023-03-05 03:14:04,202 - mmseg - INFO - Iter [42000/160000] lr: 3.750e-05, eta: 7:40:04, time: 0.196, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1932, decode.acc_seg: 92.0578, loss: 0.1932 +2023-03-05 03:14:13,847 - mmseg - INFO - Iter [42050/160000] lr: 3.750e-05, eta: 7:39:47, time: 0.193, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1849, decode.acc_seg: 92.3669, loss: 0.1849 +2023-03-05 03:14:23,706 - mmseg - INFO - Iter [42100/160000] lr: 3.750e-05, eta: 7:39:30, time: 0.197, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1951, decode.acc_seg: 92.0121, loss: 0.1951 +2023-03-05 03:14:33,669 - mmseg - INFO - Iter [42150/160000] lr: 3.750e-05, eta: 7:39:13, time: 0.199, data_time: 0.008, memory: 52540, decode.loss_ce: 0.2041, decode.acc_seg: 91.6952, loss: 0.2041 +2023-03-05 03:14:43,466 - mmseg - INFO - Iter [42200/160000] lr: 3.750e-05, eta: 7:38:56, time: 0.196, data_time: 0.008, memory: 52540, decode.loss_ce: 0.1921, decode.acc_seg: 91.8395, loss: 0.1921 +2023-03-05 03:14:52,967 - mmseg - INFO - Iter [42250/160000] lr: 3.750e-05, eta: 7:38:38, time: 0.190, data_time: 0.008, memory: 52540, decode.loss_ce: 0.1962, decode.acc_seg: 92.0642, loss: 0.1962 +2023-03-05 03:15:05,355 - mmseg - INFO - Iter [42300/160000] lr: 3.750e-05, eta: 7:38:29, time: 0.248, data_time: 0.058, memory: 52540, decode.loss_ce: 0.1936, decode.acc_seg: 92.0678, loss: 0.1936 +2023-03-05 03:15:15,123 - mmseg - INFO - Iter [42350/160000] lr: 3.750e-05, eta: 7:38:12, time: 0.195, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1944, decode.acc_seg: 92.0666, loss: 0.1944 +2023-03-05 03:15:25,091 - mmseg - INFO - Iter [42400/160000] lr: 3.750e-05, eta: 7:37:55, time: 0.199, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1899, decode.acc_seg: 92.1730, loss: 0.1899 +2023-03-05 03:15:34,837 - mmseg - INFO - Iter [42450/160000] lr: 3.750e-05, eta: 7:37:38, time: 0.195, data_time: 0.008, memory: 52540, decode.loss_ce: 0.1921, decode.acc_seg: 92.0495, loss: 0.1921 +2023-03-05 03:15:44,712 - mmseg - INFO - Iter [42500/160000] lr: 3.750e-05, eta: 7:37:22, time: 0.197, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1931, decode.acc_seg: 91.9699, loss: 0.1931 +2023-03-05 03:15:54,345 - mmseg - INFO - Iter [42550/160000] lr: 3.750e-05, eta: 7:37:04, time: 0.193, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1956, decode.acc_seg: 91.9473, loss: 0.1956 +2023-03-05 03:16:04,110 - mmseg - INFO - Iter [42600/160000] lr: 3.750e-05, eta: 7:36:47, time: 0.195, data_time: 0.008, memory: 52540, decode.loss_ce: 0.1947, decode.acc_seg: 92.0095, loss: 0.1947 +2023-03-05 03:16:13,741 - mmseg - INFO - Iter [42650/160000] lr: 3.750e-05, eta: 7:36:30, time: 0.193, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1923, decode.acc_seg: 92.0115, loss: 0.1923 +2023-03-05 03:16:23,375 - mmseg - INFO - Iter [42700/160000] lr: 3.750e-05, eta: 7:36:13, time: 0.193, data_time: 0.008, memory: 52540, decode.loss_ce: 0.1958, decode.acc_seg: 92.0545, loss: 0.1958 +2023-03-05 03:16:33,037 - mmseg - INFO - Iter [42750/160000] lr: 3.750e-05, eta: 7:35:56, time: 0.193, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1921, decode.acc_seg: 92.1470, loss: 0.1921 +2023-03-05 03:16:42,709 - mmseg - INFO - Iter [42800/160000] lr: 3.750e-05, eta: 7:35:38, time: 0.193, data_time: 0.008, memory: 52540, decode.loss_ce: 0.1955, decode.acc_seg: 91.9872, loss: 0.1955 +2023-03-05 03:16:52,306 - mmseg - INFO - Iter [42850/160000] lr: 3.750e-05, eta: 7:35:21, time: 0.192, data_time: 0.008, memory: 52540, decode.loss_ce: 0.1971, decode.acc_seg: 91.9692, loss: 0.1971 +2023-03-05 03:17:02,153 - mmseg - INFO - Iter [42900/160000] lr: 3.750e-05, eta: 7:35:04, time: 0.197, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1934, decode.acc_seg: 92.1493, loss: 0.1934 +2023-03-05 03:17:14,419 - mmseg - INFO - Iter [42950/160000] lr: 3.750e-05, eta: 7:34:54, time: 0.245, data_time: 0.053, memory: 52540, decode.loss_ce: 0.1854, decode.acc_seg: 92.3044, loss: 0.1854 +2023-03-05 03:17:24,148 - mmseg - INFO - Exp name: ablation_segformer_mit_b2_segformer_head_unet_fc_small_multi_step_ade_pretrained_freeze_embed_160k_ade20k151_mask_finetune_maskreplace.py +2023-03-05 03:17:24,148 - mmseg - INFO - Iter [43000/160000] lr: 3.750e-05, eta: 7:34:38, time: 0.195, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1940, decode.acc_seg: 91.9148, loss: 0.1940 +2023-03-05 03:17:33,677 - mmseg - INFO - Iter [43050/160000] lr: 3.750e-05, eta: 7:34:20, time: 0.191, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1950, decode.acc_seg: 91.9033, loss: 0.1950 +2023-03-05 03:17:43,445 - mmseg - INFO - Iter [43100/160000] lr: 3.750e-05, eta: 7:34:03, time: 0.195, data_time: 0.008, memory: 52540, decode.loss_ce: 0.1934, decode.acc_seg: 92.1397, loss: 0.1934 +2023-03-05 03:17:52,989 - mmseg - INFO - Iter [43150/160000] lr: 3.750e-05, eta: 7:33:46, time: 0.191, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1930, decode.acc_seg: 92.0875, loss: 0.1930 +2023-03-05 03:18:02,528 - mmseg - INFO - Iter [43200/160000] lr: 3.750e-05, eta: 7:33:29, time: 0.191, data_time: 0.008, memory: 52540, decode.loss_ce: 0.1996, decode.acc_seg: 91.8004, loss: 0.1996 +2023-03-05 03:18:12,044 - mmseg - INFO - Iter [43250/160000] lr: 3.750e-05, eta: 7:33:11, time: 0.190, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1915, decode.acc_seg: 92.1499, loss: 0.1915 +2023-03-05 03:18:21,744 - mmseg - INFO - Iter [43300/160000] lr: 3.750e-05, eta: 7:32:54, time: 0.194, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1935, decode.acc_seg: 92.0091, loss: 0.1935 +2023-03-05 03:18:31,540 - mmseg - INFO - Iter [43350/160000] lr: 3.750e-05, eta: 7:32:38, time: 0.196, data_time: 0.008, memory: 52540, decode.loss_ce: 0.1978, decode.acc_seg: 91.9928, loss: 0.1978 +2023-03-05 03:18:41,067 - mmseg - INFO - Iter [43400/160000] lr: 3.750e-05, eta: 7:32:20, time: 0.191, data_time: 0.008, memory: 52540, decode.loss_ce: 0.1941, decode.acc_seg: 92.0909, loss: 0.1941 +2023-03-05 03:18:50,613 - mmseg - INFO - Iter [43450/160000] lr: 3.750e-05, eta: 7:32:03, time: 0.191, data_time: 0.008, memory: 52540, decode.loss_ce: 0.2035, decode.acc_seg: 91.8087, loss: 0.2035 +2023-03-05 03:19:00,207 - mmseg - INFO - Iter [43500/160000] lr: 3.750e-05, eta: 7:31:46, time: 0.192, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1904, decode.acc_seg: 92.1630, loss: 0.1904 +2023-03-05 03:19:12,472 - mmseg - INFO - Iter [43550/160000] lr: 3.750e-05, eta: 7:31:36, time: 0.245, data_time: 0.059, memory: 52540, decode.loss_ce: 0.1883, decode.acc_seg: 92.1899, loss: 0.1883 +2023-03-05 03:19:22,031 - mmseg - INFO - Iter [43600/160000] lr: 3.750e-05, eta: 7:31:19, time: 0.191, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1891, decode.acc_seg: 92.2269, loss: 0.1891 +2023-03-05 03:19:31,536 - mmseg - INFO - Iter [43650/160000] lr: 3.750e-05, eta: 7:31:02, time: 0.190, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1959, decode.acc_seg: 91.9624, loss: 0.1959 +2023-03-05 03:19:41,181 - mmseg - INFO - Iter [43700/160000] lr: 3.750e-05, eta: 7:30:45, time: 0.193, data_time: 0.008, memory: 52540, decode.loss_ce: 0.1949, decode.acc_seg: 92.0492, loss: 0.1949 +2023-03-05 03:19:50,901 - mmseg - INFO - Iter [43750/160000] lr: 3.750e-05, eta: 7:30:28, time: 0.194, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1968, decode.acc_seg: 91.8218, loss: 0.1968 +2023-03-05 03:20:00,734 - mmseg - INFO - Iter [43800/160000] lr: 3.750e-05, eta: 7:30:12, time: 0.197, data_time: 0.008, memory: 52540, decode.loss_ce: 0.1938, decode.acc_seg: 92.1138, loss: 0.1938 +2023-03-05 03:20:10,429 - mmseg - INFO - Iter [43850/160000] lr: 3.750e-05, eta: 7:29:55, time: 0.194, data_time: 0.008, memory: 52540, decode.loss_ce: 0.1948, decode.acc_seg: 91.9417, loss: 0.1948 +2023-03-05 03:20:20,017 - mmseg - INFO - Iter [43900/160000] lr: 3.750e-05, eta: 7:29:38, time: 0.192, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1984, decode.acc_seg: 91.8451, loss: 0.1984 +2023-03-05 03:20:29,594 - mmseg - INFO - Iter [43950/160000] lr: 3.750e-05, eta: 7:29:21, time: 0.192, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1960, decode.acc_seg: 91.9989, loss: 0.1960 +2023-03-05 03:20:39,141 - mmseg - INFO - Exp name: ablation_segformer_mit_b2_segformer_head_unet_fc_small_multi_step_ade_pretrained_freeze_embed_160k_ade20k151_mask_finetune_maskreplace.py +2023-03-05 03:20:39,141 - mmseg - INFO - Iter [44000/160000] lr: 3.750e-05, eta: 7:29:04, time: 0.191, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1877, decode.acc_seg: 92.3102, loss: 0.1877 +2023-03-05 03:20:48,862 - mmseg - INFO - Iter [44050/160000] lr: 3.750e-05, eta: 7:28:47, time: 0.194, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1916, decode.acc_seg: 92.2141, loss: 0.1916 +2023-03-05 03:20:58,557 - mmseg - INFO - Iter [44100/160000] lr: 3.750e-05, eta: 7:28:31, time: 0.194, data_time: 0.008, memory: 52540, decode.loss_ce: 0.1867, decode.acc_seg: 92.2932, loss: 0.1867 +2023-03-05 03:21:08,437 - mmseg - INFO - Iter [44150/160000] lr: 3.750e-05, eta: 7:28:14, time: 0.198, data_time: 0.007, memory: 52540, decode.loss_ce: 0.2017, decode.acc_seg: 91.6329, loss: 0.2017 +2023-03-05 03:21:20,766 - mmseg - INFO - Iter [44200/160000] lr: 3.750e-05, eta: 7:28:05, time: 0.247, data_time: 0.057, memory: 52540, decode.loss_ce: 0.1877, decode.acc_seg: 92.2287, loss: 0.1877 +2023-03-05 03:21:30,608 - mmseg - INFO - Iter [44250/160000] lr: 3.750e-05, eta: 7:27:48, time: 0.197, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1901, decode.acc_seg: 92.0801, loss: 0.1901 +2023-03-05 03:21:40,309 - mmseg - INFO - Iter [44300/160000] lr: 3.750e-05, eta: 7:27:32, time: 0.194, data_time: 0.008, memory: 52540, decode.loss_ce: 0.1903, decode.acc_seg: 92.1026, loss: 0.1903 +2023-03-05 03:21:50,102 - mmseg - INFO - Iter [44350/160000] lr: 3.750e-05, eta: 7:27:16, time: 0.196, data_time: 0.008, memory: 52540, decode.loss_ce: 0.1941, decode.acc_seg: 92.0640, loss: 0.1941 +2023-03-05 03:21:59,931 - mmseg - INFO - Iter [44400/160000] lr: 3.750e-05, eta: 7:26:59, time: 0.197, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1916, decode.acc_seg: 92.1590, loss: 0.1916 +2023-03-05 03:22:09,972 - mmseg - INFO - Iter [44450/160000] lr: 3.750e-05, eta: 7:26:44, time: 0.201, data_time: 0.008, memory: 52540, decode.loss_ce: 0.1943, decode.acc_seg: 92.1295, loss: 0.1943 +2023-03-05 03:22:19,529 - mmseg - INFO - Iter [44500/160000] lr: 3.750e-05, eta: 7:26:27, time: 0.191, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1973, decode.acc_seg: 91.9840, loss: 0.1973 +2023-03-05 03:22:29,108 - mmseg - INFO - Iter [44550/160000] lr: 3.750e-05, eta: 7:26:10, time: 0.192, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1919, decode.acc_seg: 92.1924, loss: 0.1919 +2023-03-05 03:22:38,694 - mmseg - INFO - Iter [44600/160000] lr: 3.750e-05, eta: 7:25:53, time: 0.192, data_time: 0.008, memory: 52540, decode.loss_ce: 0.1977, decode.acc_seg: 92.0474, loss: 0.1977 +2023-03-05 03:22:48,464 - mmseg - INFO - Iter [44650/160000] lr: 3.750e-05, eta: 7:25:37, time: 0.195, data_time: 0.008, memory: 52540, decode.loss_ce: 0.1965, decode.acc_seg: 92.0720, loss: 0.1965 +2023-03-05 03:22:58,075 - mmseg - INFO - Iter [44700/160000] lr: 3.750e-05, eta: 7:25:20, time: 0.192, data_time: 0.008, memory: 52540, decode.loss_ce: 0.1937, decode.acc_seg: 92.1794, loss: 0.1937 +2023-03-05 03:23:07,693 - mmseg - INFO - Iter [44750/160000] lr: 3.750e-05, eta: 7:25:03, time: 0.192, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1953, decode.acc_seg: 91.8843, loss: 0.1953 +2023-03-05 03:23:17,254 - mmseg - INFO - Iter [44800/160000] lr: 3.750e-05, eta: 7:24:47, time: 0.191, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1907, decode.acc_seg: 92.1580, loss: 0.1907 +2023-03-05 03:23:29,472 - mmseg - INFO - Iter [44850/160000] lr: 3.750e-05, eta: 7:24:37, time: 0.244, data_time: 0.055, memory: 52540, decode.loss_ce: 0.1954, decode.acc_seg: 91.9566, loss: 0.1954 +2023-03-05 03:23:39,083 - mmseg - INFO - Iter [44900/160000] lr: 3.750e-05, eta: 7:24:20, time: 0.192, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1831, decode.acc_seg: 92.5040, loss: 0.1831 +2023-03-05 03:23:48,676 - mmseg - INFO - Iter [44950/160000] lr: 3.750e-05, eta: 7:24:03, time: 0.192, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1945, decode.acc_seg: 92.0311, loss: 0.1945 +2023-03-05 03:23:58,459 - mmseg - INFO - Exp name: ablation_segformer_mit_b2_segformer_head_unet_fc_small_multi_step_ade_pretrained_freeze_embed_160k_ade20k151_mask_finetune_maskreplace.py +2023-03-05 03:23:58,459 - mmseg - INFO - Iter [45000/160000] lr: 3.750e-05, eta: 7:23:47, time: 0.196, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1981, decode.acc_seg: 91.9552, loss: 0.1981 +2023-03-05 03:24:08,042 - mmseg - INFO - Iter [45050/160000] lr: 3.750e-05, eta: 7:23:31, time: 0.192, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1945, decode.acc_seg: 92.1251, loss: 0.1945 +2023-03-05 03:24:17,954 - mmseg - INFO - Iter [45100/160000] lr: 3.750e-05, eta: 7:23:15, time: 0.198, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1965, decode.acc_seg: 91.9125, loss: 0.1965 +2023-03-05 03:24:27,646 - mmseg - INFO - Iter [45150/160000] lr: 3.750e-05, eta: 7:22:58, time: 0.194, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1869, decode.acc_seg: 92.3108, loss: 0.1869 +2023-03-05 03:24:37,716 - mmseg - INFO - Iter [45200/160000] lr: 3.750e-05, eta: 7:22:43, time: 0.201, data_time: 0.008, memory: 52540, decode.loss_ce: 0.1983, decode.acc_seg: 91.8373, loss: 0.1983 +2023-03-05 03:24:47,285 - mmseg - INFO - Iter [45250/160000] lr: 3.750e-05, eta: 7:22:26, time: 0.191, data_time: 0.008, memory: 52540, decode.loss_ce: 0.1918, decode.acc_seg: 92.0185, loss: 0.1918 +2023-03-05 03:24:56,831 - mmseg - INFO - Iter [45300/160000] lr: 3.750e-05, eta: 7:22:10, time: 0.191, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1921, decode.acc_seg: 92.1089, loss: 0.1921 +2023-03-05 03:25:06,499 - mmseg - INFO - Iter [45350/160000] lr: 3.750e-05, eta: 7:21:53, time: 0.193, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1914, decode.acc_seg: 92.1425, loss: 0.1914 +2023-03-05 03:25:16,293 - mmseg - INFO - Iter [45400/160000] lr: 3.750e-05, eta: 7:21:37, time: 0.196, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1945, decode.acc_seg: 92.0921, loss: 0.1945 +2023-03-05 03:25:28,479 - mmseg - INFO - Iter [45450/160000] lr: 3.750e-05, eta: 7:21:27, time: 0.243, data_time: 0.053, memory: 52540, decode.loss_ce: 0.1854, decode.acc_seg: 92.4417, loss: 0.1854 +2023-03-05 03:25:38,182 - mmseg - INFO - Iter [45500/160000] lr: 3.750e-05, eta: 7:21:11, time: 0.194, data_time: 0.008, memory: 52540, decode.loss_ce: 0.1917, decode.acc_seg: 92.0512, loss: 0.1917 +2023-03-05 03:25:48,169 - mmseg - INFO - Iter [45550/160000] lr: 3.750e-05, eta: 7:20:56, time: 0.200, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1895, decode.acc_seg: 92.1249, loss: 0.1895 +2023-03-05 03:25:57,792 - mmseg - INFO - Iter [45600/160000] lr: 3.750e-05, eta: 7:20:39, time: 0.192, data_time: 0.008, memory: 52540, decode.loss_ce: 0.1909, decode.acc_seg: 92.2499, loss: 0.1909 +2023-03-05 03:26:07,546 - mmseg - INFO - Iter [45650/160000] lr: 3.750e-05, eta: 7:20:23, time: 0.195, data_time: 0.007, memory: 52540, decode.loss_ce: 0.2005, decode.acc_seg: 91.6539, loss: 0.2005 +2023-03-05 03:26:17,349 - mmseg - INFO - Iter [45700/160000] lr: 3.750e-05, eta: 7:20:07, time: 0.196, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1951, decode.acc_seg: 92.0367, loss: 0.1951 +2023-03-05 03:26:26,981 - mmseg - INFO - Iter [45750/160000] lr: 3.750e-05, eta: 7:19:51, time: 0.193, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1931, decode.acc_seg: 91.9382, loss: 0.1931 +2023-03-05 03:26:36,662 - mmseg - INFO - Iter [45800/160000] lr: 3.750e-05, eta: 7:19:35, time: 0.194, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1898, decode.acc_seg: 92.0925, loss: 0.1898 +2023-03-05 03:26:46,561 - mmseg - INFO - Iter [45850/160000] lr: 3.750e-05, eta: 7:19:19, time: 0.198, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1918, decode.acc_seg: 91.9490, loss: 0.1918 +2023-03-05 03:26:56,316 - mmseg - INFO - Iter [45900/160000] lr: 3.750e-05, eta: 7:19:03, time: 0.195, data_time: 0.008, memory: 52540, decode.loss_ce: 0.1898, decode.acc_seg: 92.3082, loss: 0.1898 +2023-03-05 03:27:05,950 - mmseg - INFO - Iter [45950/160000] lr: 3.750e-05, eta: 7:18:47, time: 0.193, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1989, decode.acc_seg: 91.7421, loss: 0.1989 +2023-03-05 03:27:15,789 - mmseg - INFO - Exp name: ablation_segformer_mit_b2_segformer_head_unet_fc_small_multi_step_ade_pretrained_freeze_embed_160k_ade20k151_mask_finetune_maskreplace.py +2023-03-05 03:27:15,790 - mmseg - INFO - Iter [46000/160000] lr: 3.750e-05, eta: 7:18:31, time: 0.197, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1917, decode.acc_seg: 92.1815, loss: 0.1917 +2023-03-05 03:27:25,326 - mmseg - INFO - Iter [46050/160000] lr: 3.750e-05, eta: 7:18:14, time: 0.191, data_time: 0.008, memory: 52540, decode.loss_ce: 0.1976, decode.acc_seg: 92.1417, loss: 0.1976 +2023-03-05 03:27:37,475 - mmseg - INFO - Iter [46100/160000] lr: 3.750e-05, eta: 7:18:04, time: 0.243, data_time: 0.055, memory: 52540, decode.loss_ce: 0.1975, decode.acc_seg: 92.0681, loss: 0.1975 +2023-03-05 03:27:47,061 - mmseg - INFO - Iter [46150/160000] lr: 3.750e-05, eta: 7:17:48, time: 0.192, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1868, decode.acc_seg: 92.2699, loss: 0.1868 +2023-03-05 03:27:56,948 - mmseg - INFO - Iter [46200/160000] lr: 3.750e-05, eta: 7:17:32, time: 0.198, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1960, decode.acc_seg: 91.8713, loss: 0.1960 +2023-03-05 03:28:06,802 - mmseg - INFO - Iter [46250/160000] lr: 3.750e-05, eta: 7:17:17, time: 0.197, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1912, decode.acc_seg: 92.0623, loss: 0.1912 +2023-03-05 03:28:16,752 - mmseg - INFO - Iter [46300/160000] lr: 3.750e-05, eta: 7:17:01, time: 0.199, data_time: 0.008, memory: 52540, decode.loss_ce: 0.1900, decode.acc_seg: 92.2677, loss: 0.1900 +2023-03-05 03:28:26,422 - mmseg - INFO - Iter [46350/160000] lr: 3.750e-05, eta: 7:16:45, time: 0.193, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1979, decode.acc_seg: 91.9825, loss: 0.1979 +2023-03-05 03:28:36,106 - mmseg - INFO - Iter [46400/160000] lr: 3.750e-05, eta: 7:16:29, time: 0.194, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1932, decode.acc_seg: 92.1965, loss: 0.1932 +2023-03-05 03:28:45,792 - mmseg - INFO - Iter [46450/160000] lr: 3.750e-05, eta: 7:16:13, time: 0.194, data_time: 0.008, memory: 52540, decode.loss_ce: 0.1899, decode.acc_seg: 92.1044, loss: 0.1899 +2023-03-05 03:28:55,496 - mmseg - INFO - Iter [46500/160000] lr: 3.750e-05, eta: 7:15:57, time: 0.194, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1936, decode.acc_seg: 92.1120, loss: 0.1936 +2023-03-05 03:29:05,189 - mmseg - INFO - Iter [46550/160000] lr: 3.750e-05, eta: 7:15:41, time: 0.194, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1911, decode.acc_seg: 92.0892, loss: 0.1911 +2023-03-05 03:29:14,897 - mmseg - INFO - Iter [46600/160000] lr: 3.750e-05, eta: 7:15:25, time: 0.194, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1968, decode.acc_seg: 92.1151, loss: 0.1968 +2023-03-05 03:29:24,655 - mmseg - INFO - Iter [46650/160000] lr: 3.750e-05, eta: 7:15:09, time: 0.195, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1884, decode.acc_seg: 92.1926, loss: 0.1884 +2023-03-05 03:29:36,739 - mmseg - INFO - Iter [46700/160000] lr: 3.750e-05, eta: 7:14:59, time: 0.242, data_time: 0.054, memory: 52540, decode.loss_ce: 0.1926, decode.acc_seg: 92.0351, loss: 0.1926 +2023-03-05 03:29:46,291 - mmseg - INFO - Iter [46750/160000] lr: 3.750e-05, eta: 7:14:43, time: 0.191, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1943, decode.acc_seg: 92.0148, loss: 0.1943 +2023-03-05 03:29:56,021 - mmseg - INFO - Iter [46800/160000] lr: 3.750e-05, eta: 7:14:27, time: 0.194, data_time: 0.008, memory: 52540, decode.loss_ce: 0.2016, decode.acc_seg: 91.7376, loss: 0.2016 +2023-03-05 03:30:05,964 - mmseg - INFO - Iter [46850/160000] lr: 3.750e-05, eta: 7:14:12, time: 0.199, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1924, decode.acc_seg: 92.0763, loss: 0.1924 +2023-03-05 03:30:16,002 - mmseg - INFO - Iter [46900/160000] lr: 3.750e-05, eta: 7:13:57, time: 0.201, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1940, decode.acc_seg: 91.9965, loss: 0.1940 +2023-03-05 03:30:25,863 - mmseg - INFO - Iter [46950/160000] lr: 3.750e-05, eta: 7:13:41, time: 0.197, data_time: 0.008, memory: 52540, decode.loss_ce: 0.1898, decode.acc_seg: 92.2167, loss: 0.1898 +2023-03-05 03:30:35,528 - mmseg - INFO - Exp name: ablation_segformer_mit_b2_segformer_head_unet_fc_small_multi_step_ade_pretrained_freeze_embed_160k_ade20k151_mask_finetune_maskreplace.py +2023-03-05 03:30:35,528 - mmseg - INFO - Iter [47000/160000] lr: 3.750e-05, eta: 7:13:25, time: 0.193, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1920, decode.acc_seg: 92.1024, loss: 0.1920 +2023-03-05 03:30:45,213 - mmseg - INFO - Iter [47050/160000] lr: 3.750e-05, eta: 7:13:10, time: 0.194, data_time: 0.008, memory: 52540, decode.loss_ce: 0.1905, decode.acc_seg: 92.1258, loss: 0.1905 +2023-03-05 03:30:54,982 - mmseg - INFO - Iter [47100/160000] lr: 3.750e-05, eta: 7:12:54, time: 0.195, data_time: 0.008, memory: 52540, decode.loss_ce: 0.1996, decode.acc_seg: 91.9501, loss: 0.1996 +2023-03-05 03:31:04,762 - mmseg - INFO - Iter [47150/160000] lr: 3.750e-05, eta: 7:12:38, time: 0.196, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1846, decode.acc_seg: 92.4089, loss: 0.1846 +2023-03-05 03:31:14,286 - mmseg - INFO - Iter [47200/160000] lr: 3.750e-05, eta: 7:12:22, time: 0.190, data_time: 0.008, memory: 52540, decode.loss_ce: 0.1878, decode.acc_seg: 92.1830, loss: 0.1878 +2023-03-05 03:31:24,140 - mmseg - INFO - Iter [47250/160000] lr: 3.750e-05, eta: 7:12:07, time: 0.197, data_time: 0.008, memory: 52540, decode.loss_ce: 0.1966, decode.acc_seg: 91.9987, loss: 0.1966 +2023-03-05 03:31:33,907 - mmseg - INFO - Iter [47300/160000] lr: 3.750e-05, eta: 7:11:51, time: 0.195, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1949, decode.acc_seg: 92.0056, loss: 0.1949 +2023-03-05 03:31:46,043 - mmseg - INFO - Iter [47350/160000] lr: 3.750e-05, eta: 7:11:41, time: 0.243, data_time: 0.057, memory: 52540, decode.loss_ce: 0.2037, decode.acc_seg: 91.5448, loss: 0.2037 +2023-03-05 03:31:55,785 - mmseg - INFO - Iter [47400/160000] lr: 3.750e-05, eta: 7:11:25, time: 0.195, data_time: 0.008, memory: 52540, decode.loss_ce: 0.1911, decode.acc_seg: 92.1733, loss: 0.1911 +2023-03-05 03:32:05,457 - mmseg - INFO - Iter [47450/160000] lr: 3.750e-05, eta: 7:11:09, time: 0.193, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1930, decode.acc_seg: 92.0077, loss: 0.1930 +2023-03-05 03:32:15,213 - mmseg - INFO - Iter [47500/160000] lr: 3.750e-05, eta: 7:10:54, time: 0.195, data_time: 0.008, memory: 52540, decode.loss_ce: 0.1860, decode.acc_seg: 92.3425, loss: 0.1860 +2023-03-05 03:32:24,931 - mmseg - INFO - Iter [47550/160000] lr: 3.750e-05, eta: 7:10:38, time: 0.194, data_time: 0.008, memory: 52540, decode.loss_ce: 0.1863, decode.acc_seg: 92.2794, loss: 0.1863 +2023-03-05 03:32:34,590 - mmseg - INFO - Iter [47600/160000] lr: 3.750e-05, eta: 7:10:22, time: 0.193, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1912, decode.acc_seg: 92.2891, loss: 0.1912 +2023-03-05 03:32:44,410 - mmseg - INFO - Iter [47650/160000] lr: 3.750e-05, eta: 7:10:07, time: 0.196, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1917, decode.acc_seg: 92.1748, loss: 0.1917 +2023-03-05 03:32:54,256 - mmseg - INFO - Iter [47700/160000] lr: 3.750e-05, eta: 7:09:52, time: 0.197, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1938, decode.acc_seg: 92.0729, loss: 0.1938 +2023-03-05 03:33:03,796 - mmseg - INFO - Iter [47750/160000] lr: 3.750e-05, eta: 7:09:36, time: 0.191, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1866, decode.acc_seg: 92.3631, loss: 0.1866 +2023-03-05 03:33:13,604 - mmseg - INFO - Iter [47800/160000] lr: 3.750e-05, eta: 7:09:20, time: 0.196, data_time: 0.008, memory: 52540, decode.loss_ce: 0.1981, decode.acc_seg: 91.8963, loss: 0.1981 +2023-03-05 03:33:23,572 - mmseg - INFO - Iter [47850/160000] lr: 3.750e-05, eta: 7:09:05, time: 0.199, data_time: 0.008, memory: 52540, decode.loss_ce: 0.1925, decode.acc_seg: 92.0029, loss: 0.1925 +2023-03-05 03:33:33,653 - mmseg - INFO - Iter [47900/160000] lr: 3.750e-05, eta: 7:08:50, time: 0.202, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1847, decode.acc_seg: 92.2864, loss: 0.1847 +2023-03-05 03:33:43,578 - mmseg - INFO - Iter [47950/160000] lr: 3.750e-05, eta: 7:08:35, time: 0.198, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1986, decode.acc_seg: 91.8543, loss: 0.1986 +2023-03-05 03:33:55,807 - mmseg - INFO - Swap parameters (after train) after iter [48000] +2023-03-05 03:33:55,819 - mmseg - INFO - Saving checkpoint at 48000 iterations +2023-03-05 03:33:56,858 - mmseg - INFO - Exp name: ablation_segformer_mit_b2_segformer_head_unet_fc_small_multi_step_ade_pretrained_freeze_embed_160k_ade20k151_mask_finetune_maskreplace.py +2023-03-05 03:33:56,858 - mmseg - INFO - Iter [48000/160000] lr: 3.750e-05, eta: 7:08:28, time: 0.266, data_time: 0.056, memory: 52540, decode.loss_ce: 0.1971, decode.acc_seg: 92.0352, loss: 0.1971 +2023-03-05 03:44:53,304 - mmseg - INFO - per class results: +2023-03-05 03:44:53,313 - mmseg - INFO - ++---------------------+-------------------------------------------------------------------+ +| Class | IoU 0,10,20,30,40,50,60,70,80,90,99 | ++---------------------+-------------------------------------------------------------------+ +| background | nan,nan,nan,nan,nan,nan,nan,nan,nan,nan,nan | +| wall | 77.41,77.45,77.46,77.48,77.5,77.5,77.52,77.54,77.55,77.55,77.56 | +| building | 81.64,81.66,81.68,81.69,81.7,81.69,81.71,81.7,81.71,81.7,81.71 | +| sky | 94.44,94.44,94.44,94.45,94.45,94.45,94.45,94.46,94.47,94.47,94.47 | +| floor | 81.56,81.57,81.59,81.6,81.63,81.64,81.66,81.66,81.69,81.7,81.68 | +| tree | 74.12,74.15,74.16,74.19,74.21,74.21,74.21,74.21,74.2,74.2,74.2 | +| ceiling | 85.15,85.19,85.19,85.24,85.25,85.24,85.24,85.25,85.27,85.27,85.27 | +| road | 81.99,81.99,82.0,81.97,81.97,81.98,81.96,81.97,81.97,81.97,81.99 | +| bed | 87.68,87.71,87.72,87.74,87.76,87.78,87.81,87.82,87.86,87.87,87.91 | +| windowpane | 60.51,60.5,60.54,60.55,60.62,60.64,60.66,60.68,60.73,60.68,60.67 | +| grass | 67.4,67.41,67.4,67.42,67.44,67.42,67.43,67.44,67.47,67.48,67.44 | +| cabinet | 60.44,60.48,60.51,60.55,60.63,60.62,60.64,60.66,60.7,60.74,60.76 | +| sidewalk | 64.3,64.33,64.35,64.4,64.4,64.4,64.37,64.39,64.38,64.38,64.47 | +| person | 79.68,79.69,79.71,79.71,79.72,79.73,79.76,79.76,79.76,79.79,79.78 | +| earth | 36.09,36.08,36.13,36.08,36.14,36.18,36.16,36.18,36.19,36.16,36.13 | +| door | 46.06,46.14,46.17,46.26,46.3,46.33,46.36,46.37,46.44,46.48,46.41 | +| table | 60.75,60.78,60.87,60.86,60.85,60.87,60.82,60.86,60.89,60.86,60.88 | +| mountain | 57.15,57.31,57.42,57.43,57.54,57.57,57.58,57.67,57.68,57.7,57.6 | +| plant | 49.95,49.93,49.9,49.91,49.92,50.03,49.95,50.04,49.99,49.97,49.95 | +| curtain | 74.2,74.26,74.36,74.4,74.5,74.48,74.48,74.5,74.53,74.53,74.49 | +| chair | 56.35,56.35,56.43,56.39,56.45,56.51,56.48,56.51,56.52,56.51,56.56 | +| car | 81.52,81.53,81.52,81.53,81.55,81.57,81.59,81.59,81.57,81.56,81.56 | +| water | 57.39,57.37,57.33,57.31,57.28,57.2,57.2,57.18,57.16,57.1,57.16 | +| painting | 70.4,70.36,70.28,70.29,70.35,70.31,70.25,70.28,70.29,70.25,70.3 | +| sofa | 63.97,64.13,64.24,64.29,64.36,64.44,64.46,64.53,64.57,64.58,64.56 | +| shelf | 43.99,44.04,44.05,44.1,44.17,44.19,44.21,44.26,44.29,44.35,44.4 | +| house | 40.86,41.26,41.7,41.75,41.88,42.04,42.17,42.17,42.12,42.08,42.29 | +| sea | 60.26,60.19,60.1,60.0,59.91,59.81,59.75,59.64,59.58,59.48,59.42 | +| mirror | 65.41,65.41,65.39,65.41,65.39,65.36,65.47,65.53,65.54,65.64,65.69 | +| rug | 64.44,64.5,64.55,64.58,64.67,64.67,64.7,64.69,64.8,64.85,64.96 | +| field | 30.67,30.69,30.65,30.68,30.73,30.71,30.71,30.71,30.73,30.73,30.79 | +| armchair | 37.28,37.41,37.45,37.52,37.57,37.68,37.7,37.79,37.87,37.91,37.96 | +| seat | 66.4,66.4,66.48,66.53,66.49,66.59,66.61,66.62,66.66,66.68,66.68 | +| fence | 40.76,40.83,40.84,40.96,40.98,41.03,41.12,41.18,41.15,41.24,41.31 | +| desk | 46.61,46.75,46.77,46.88,46.92,46.91,47.02,47.0,47.05,47.09,47.16 | +| rock | 36.9,36.89,36.91,36.91,36.94,36.93,36.96,37.03,37.01,37.06,36.96 | +| wardrobe | 57.33,57.4,57.39,57.47,57.58,57.58,57.67,57.53,57.54,57.46,57.64 | +| lamp | 61.86,61.91,61.84,61.92,61.85,61.88,61.9,61.88,61.89,61.9,61.85 | +| bathtub | 77.64,77.67,77.62,77.7,77.63,77.6,77.58,77.51,77.58,77.59,77.34 | +| railing | 33.83,33.79,33.8,33.74,33.74,33.8,33.79,33.79,33.81,33.83,33.76 | +| cushion | 56.79,56.83,56.87,56.97,57.1,57.09,57.15,57.17,57.15,57.18,57.12 | +| base | 20.7,20.73,21.01,21.05,21.1,21.23,21.27,21.2,21.34,21.39,21.31 | +| box | 23.45,23.41,23.49,23.41,23.44,23.48,23.47,23.5,23.48,23.47,23.45 | +| column | 46.22,46.34,46.43,46.53,46.58,46.62,46.72,46.76,46.69,46.66,46.83 | +| signboard | 37.69,37.69,37.7,37.72,37.69,37.68,37.65,37.63,37.65,37.62,37.64 | +| chest of drawers | 36.46,36.43,36.28,36.3,36.37,36.35,36.37,36.77,37.09,37.12,36.82 | +| counter | 32.47,32.46,32.49,32.46,32.43,32.36,32.34,32.34,32.33,32.29,32.3 | +| sand | 43.59,43.71,43.56,43.64,43.58,43.54,43.7,43.66,43.73,43.84,43.86 | +| sink | 68.35,68.32,68.33,68.18,68.16,68.17,68.09,68.2,68.04,68.01,68.14 | +| skyscraper | 50.65,50.25,50.01,49.7,49.34,49.34,49.4,49.43,49.34,49.27,48.91 | +| fireplace | 75.21,75.36,75.43,75.48,75.52,75.7,75.75,75.9,76.07,76.15,76.04 | +| refrigerator | 74.92,74.98,75.14,75.24,75.35,75.36,75.21,75.44,75.51,75.6,75.37 | +| grandstand | 50.95,51.19,51.4,51.67,51.88,52.04,52.31,52.25,52.43,52.6,52.72 | +| path | 22.29,22.32,22.34,22.43,22.44,22.47,22.52,22.57,22.56,22.52,22.46 | +| stairs | 31.51,31.42,31.32,31.27,31.3,31.2,31.17,31.13,31.17,31.18,31.15 | +| runway | 68.2,68.25,68.27,68.31,68.31,68.32,68.37,68.37,68.38,68.39,68.4 | +| case | 47.32,47.46,47.58,47.71,47.78,47.88,48.02,48.02,48.04,48.01,47.94 | +| pool table | 91.57,91.56,91.58,91.59,91.59,91.6,91.62,91.61,91.62,91.58,91.62 | +| pillow | 61.91,61.92,62.02,62.15,62.22,62.19,62.33,62.26,62.53,62.5,62.49 | +| screen door | 67.02,66.75,67.05,66.81,66.75,66.79,66.95,66.85,66.84,66.84,66.81 | +| stairway | 23.36,23.42,23.46,23.47,23.46,23.48,23.48,23.51,23.49,23.5,23.4 | +| river | 12.3,12.27,12.25,12.24,12.24,12.2,12.22,12.19,12.2,12.19,12.26 | +| bridge | 31.78,31.84,31.79,31.83,31.7,31.83,31.97,31.96,31.87,31.85,32.06 | +| bookcase | 46.77,46.79,46.85,46.77,46.78,46.9,46.92,47.02,46.86,46.88,47.01 | +| blind | 39.59,39.2,39.55,39.33,39.34,39.52,39.58,39.82,39.97,40.04,40.38 | +| coffee table | 52.52,52.32,52.37,52.2,52.1,52.08,51.94,51.89,51.97,51.93,51.83 | +| toilet | 83.57,83.54,83.54,83.51,83.46,83.51,83.47,83.44,83.39,83.4,83.39 | +| flower | 38.89,38.89,38.88,38.86,38.79,38.85,38.79,38.85,38.9,38.82,38.83 | +| book | 45.21,45.16,45.12,45.13,45.03,45.07,44.93,44.99,44.97,44.92,44.9 | +| hill | 15.11,15.25,15.42,15.45,15.66,15.83,15.89,15.9,15.94,16.0,16.06 | +| bench | 43.05,43.04,42.9,42.97,42.92,42.93,42.98,43.0,42.96,42.97,42.88 | +| countertop | 54.0,54.09,54.16,54.09,54.01,53.99,53.98,54.0,54.06,54.13,54.24 | +| stove | 70.78,70.69,70.6,70.58,70.43,70.53,70.32,70.27,70.2,70.22,70.14 | +| palm | 47.39,47.36,47.43,47.42,47.43,47.46,47.52,47.5,47.54,47.57,47.59 | +| kitchen island | 42.84,43.05,43.08,43.26,43.55,43.78,43.88,43.99,44.2,44.29,44.56 | +| computer | 59.67,59.68,59.65,59.67,59.61,59.67,59.69,59.63,59.7,59.65,59.67 | +| swivel chair | 44.61,44.66,44.83,44.71,44.78,44.77,44.71,44.76,44.74,44.58,44.72 | +| boat | 70.3,70.39,70.48,70.5,70.68,70.72,70.7,70.95,70.99,71.09,71.12 | +| bar | 23.7,23.86,23.91,23.93,23.94,23.99,24.02,24.03,24.03,24.07,24.09 | +| arcade machine | 71.03,70.92,71.05,70.5,70.31,70.09,69.83,69.56,69.56,69.46,69.58 | +| hovel | 32.04,31.85,31.47,31.32,30.59,30.01,29.76,29.47,29.16,28.76,28.92 | +| bus | 77.9,78.0,78.08,78.15,78.21,78.21,78.16,78.4,78.38,78.4,78.43 | +| towel | 63.97,64.04,64.14,64.11,64.2,64.09,64.08,64.09,64.08,64.04,64.17 | +| light | 55.75,55.78,55.85,55.82,55.89,55.82,55.82,55.9,55.84,55.86,55.79 | +| truck | 18.62,18.52,18.28,18.25,18.13,18.19,18.07,18.06,18.01,17.95,17.93 | +| tower | 7.51,7.55,7.66,7.7,7.68,7.81,7.92,8.08,8.22,8.26,7.97 | +| chandelier | 65.53,65.61,65.73,65.77,65.91,66.08,66.14,66.19,66.16,66.24,66.35 | +| awning | 23.56,23.58,23.72,23.84,24.0,23.97,24.19,24.15,24.22,24.39,24.36 | +| streetlight | 27.22,27.2,27.25,27.3,27.32,27.43,27.43,27.6,27.51,27.53,27.62 | +| booth | 43.84,44.26,44.54,44.82,45.09,45.48,45.34,45.34,45.22,45.53,45.88 | +| television receiver | 64.21,64.23,64.24,64.26,64.31,64.29,64.2,64.3,64.22,64.28,64.27 | +| airplane | 58.51,58.54,58.52,58.46,58.46,58.44,58.46,58.38,58.38,58.42,58.49 | +| dirt track | 19.84,19.77,19.78,19.64,19.9,19.61,19.78,19.58,19.65,19.58,19.5 | +| apparel | 33.37,33.51,33.49,33.79,33.8,33.83,33.74,34.12,34.23,34.25,34.3 | +| pole | 18.07,18.14,18.13,18.18,18.19,18.22,18.14,18.3,18.34,18.3,18.06 | +| land | 3.77,3.81,3.9,3.88,3.86,3.94,3.93,4.03,4.0,4.03,3.89 | +| bannister | 12.27,12.4,12.48,12.67,12.87,12.83,12.94,12.83,12.92,12.9,12.82 | +| escalator | 24.92,24.91,24.92,24.92,25.01,25.03,25.05,24.97,25.09,25.02,25.07 | +| ottoman | 43.59,43.64,43.63,43.63,43.53,43.8,43.9,43.84,43.7,43.93,43.73 | +| bottle | 36.01,36.09,36.05,36.06,36.17,36.17,36.1,36.16,36.04,36.06,36.13 | +| buffet | 36.63,37.2,37.36,37.61,38.0,38.28,38.34,38.56,38.63,38.68,38.68 | +| poster | 23.61,23.65,23.68,23.71,23.62,23.6,23.53,23.59,23.58,23.45,23.64 | +| stage | 14.11,14.09,13.99,13.77,13.84,13.72,13.61,13.62,13.28,13.27,13.48 | +| van | 39.03,39.09,39.0,38.99,39.06,39.03,38.95,39.06,39.1,39.03,39.05 | +| ship | 77.61,77.75,77.83,77.93,78.2,78.38,78.63,78.86,79.04,79.17,79.26 | +| fountain | 13.42,14.02,14.51,15.11,15.81,16.35,16.94,17.48,18.26,19.04,20.86 | +| conveyer belt | 85.58,85.62,85.64,85.57,85.52,85.6,85.48,85.51,85.66,85.62,85.78 | +| canopy | 25.87,26.27,25.93,26.08,26.07,26.23,26.02,25.8,25.45,25.42,25.21 | +| washer | 77.0,77.18,77.17,77.28,77.41,77.88,77.86,78.28,78.35,78.39,78.59 | +| plaything | 21.48,21.59,21.62,21.64,21.71,21.69,21.8,21.86,21.81,21.8,21.82 | +| swimming pool | 72.73,72.84,73.13,73.19,73.27,73.37,73.58,73.83,74.02,74.21,74.26 | +| stool | 43.93,43.9,44.03,44.01,43.99,44.11,44.01,44.09,44.12,44.02,43.98 | +| barrel | 51.55,52.15,52.46,52.97,53.81,53.27,54.76,54.54,54.99,54.05,54.77 | +| basket | 24.14,24.13,24.11,24.17,24.19,24.24,24.27,24.29,24.3,24.39,24.33 | +| waterfall | 50.05,50.04,49.93,49.99,50.03,50.03,50.02,50.08,50.19,50.12,50.21 | +| tent | 94.65,94.71,94.73,94.71,94.75,94.76,94.78,94.75,94.81,94.78,94.85 | +| bag | 14.46,14.58,14.66,14.88,15.04,15.04,15.19,15.23,15.28,15.31,15.36 | +| minibike | 62.79,62.84,62.89,62.89,62.92,63.04,62.92,63.12,63.16,63.05,62.91 | +| cradle | 85.0,85.12,85.28,85.37,85.39,85.45,85.43,85.64,85.62,85.69,85.77 | +| oven | 45.53,45.52,45.48,45.41,45.39,45.52,45.56,45.6,45.49,45.62,45.86 | +| ball | 43.11,43.26,43.54,43.56,43.71,44.04,44.21,44.6,44.79,45.09,45.31 | +| food | 54.2,54.26,54.31,54.48,54.44,54.57,54.52,54.5,54.46,54.45,54.56 | +| step | 4.51,4.59,4.74,4.74,4.83,5.05,4.95,5.25,5.03,5.12,5.12 | +| tank | 49.84,49.93,49.75,49.95,50.08,50.42,50.53,50.95,51.08,51.25,51.22 | +| trade name | 28.48,28.35,28.25,28.15,28.05,27.69,27.93,27.38,27.36,27.07,27.03 | +| microwave | 69.7,69.99,70.21,70.39,70.39,70.55,70.83,70.83,70.97,70.98,71.06 | +| pot | 30.17,30.27,30.4,30.43,30.56,30.73,30.82,30.78,30.73,30.8,30.77 | +| animal | 54.42,54.56,54.63,54.74,54.71,54.8,54.85,54.96,55.02,55.08,55.1 | +| bicycle | 54.34,54.37,54.43,54.69,54.55,54.69,54.75,54.95,54.92,54.88,54.77 | +| lake | 57.28,57.31,57.34,57.38,57.42,57.43,57.46,57.47,57.47,57.51,57.5 | +| dishwasher | 65.2,64.72,64.9,64.91,64.54,63.79,63.62,63.8,63.61,63.77,64.09 | +| screen | 66.93,66.76,66.46,66.38,66.11,65.69,65.65,65.5,65.39,65.39,65.42 | +| blanket | 19.06,19.25,19.35,19.4,19.41,19.53,19.58,19.63,19.65,19.73,19.69 | +| sculpture | 57.3,57.46,57.39,57.37,57.36,57.59,57.51,57.67,57.51,57.73,57.7 | +| hood | 59.64,59.62,59.69,59.84,59.93,59.84,60.04,59.98,59.87,59.88,59.73 | +| sconce | 42.17,42.18,42.24,42.21,42.37,42.09,42.39,42.42,42.51,42.56,42.88 | +| vase | 36.71,36.85,37.05,37.09,37.38,37.43,37.62,37.57,37.74,37.74,37.82 | +| traffic light | 32.92,33.03,33.06,33.33,33.25,33.34,33.52,33.56,33.56,33.66,33.63 | +| tray | 7.8,7.85,7.92,7.88,7.83,7.84,7.8,7.74,7.94,7.8,7.44 | +| ashcan | 40.75,40.84,40.76,40.95,40.9,40.89,40.89,40.98,41.0,41.02,40.98 | +| fan | 58.85,58.86,58.83,58.87,59.0,58.86,58.9,58.88,58.97,58.9,58.84 | +| pier | 46.63,46.74,46.62,46.94,46.77,46.84,47.01,47.26,47.37,47.45,47.56 | +| crt screen | 8.97,9.0,8.86,8.87,8.87,8.88,8.85,8.8,8.87,8.85,8.93 | +| plate | 52.72,52.74,52.74,52.69,52.65,52.62,52.59,52.61,52.58,52.54,52.46 | +| monitor | 27.18,27.25,27.2,27.13,27.18,27.1,27.08,27.01,27.05,26.84,26.71 | +| bulletin board | 36.73,36.84,36.98,37.17,37.15,37.24,37.47,37.68,37.95,37.96,37.97 | +| shower | 1.57,1.6,1.62,1.64,1.67,1.65,1.69,1.7,1.74,1.71,1.7 | +| radiator | 62.99,63.25,63.34,63.44,63.69,63.69,63.75,63.87,63.82,63.64,63.7 | +| glass | 13.97,13.96,13.97,13.96,13.94,13.93,13.85,13.84,13.88,13.8,13.78 | +| clock | 34.79,34.72,34.53,34.27,34.58,34.34,34.21,34.13,33.88,33.95,33.89 | +| flag | 35.54,35.55,35.45,35.53,35.5,35.52,35.41,35.56,35.47,35.55,35.55 | ++---------------------+-------------------------------------------------------------------+ +2023-03-05 03:44:53,313 - mmseg - INFO - Summary: +2023-03-05 03:44:53,313 - mmseg - INFO - ++------------------------------------------------------------------+ +| mIoU 0,10,20,30,40,50,60,70,80,90,99 | ++------------------------------------------------------------------+ +| 48.55,48.6,48.63,48.66,48.69,48.72,48.75,48.79,48.81,48.82,48.85 | ++------------------------------------------------------------------+ +2023-03-05 03:44:53,355 - mmseg - INFO - The previous best checkpoint /mnt/petrelfs/laizeqiang/mmseg-baseline/work_dirs2/ablation_segformer_mit_b2_segformer_head_unet_fc_small_multi_step_ade_pretrained_freeze_embed_160k_ade20k151_mask_finetune_maskreplace/best_mIoU_iter_32000.pth was removed +2023-03-05 03:44:54,475 - mmseg - INFO - Now best checkpoint is saved as best_mIoU_iter_48000.pth. +2023-03-05 03:44:54,476 - mmseg - INFO - Best mIoU is 0.4885 at 48000 iter. +2023-03-05 03:44:54,476 - mmseg - INFO - Exp name: ablation_segformer_mit_b2_segformer_head_unet_fc_small_multi_step_ade_pretrained_freeze_embed_160k_ade20k151_mask_finetune_maskreplace.py +2023-03-05 03:44:54,476 - mmseg - INFO - Iter(val) [250] mIoU: [0.4855, 0.486, 0.4863, 0.4866, 0.4869, 0.4872, 0.4875, 0.4879, 0.4881, 0.4882, 0.4885], copy_paste: 48.55,48.6,48.63,48.66,48.69,48.72,48.75,48.79,48.81,48.82,48.85 +2023-03-05 03:44:54,487 - mmseg - INFO - Swap parameters (before train) before iter [48001] +2023-03-05 03:45:04,695 - mmseg - INFO - Iter [48050/160000] lr: 3.750e-05, eta: 7:33:46, time: 13.357, data_time: 13.160, memory: 52540, decode.loss_ce: 0.1995, decode.acc_seg: 91.8478, loss: 0.1995 +2023-03-05 03:45:14,469 - mmseg - INFO - Iter [48100/160000] lr: 3.750e-05, eta: 7:33:28, time: 0.195, data_time: 0.008, memory: 52540, decode.loss_ce: 0.1896, decode.acc_seg: 92.2311, loss: 0.1896 +2023-03-05 03:45:24,296 - mmseg - INFO - Iter [48150/160000] lr: 3.750e-05, eta: 7:33:11, time: 0.197, data_time: 0.008, memory: 52540, decode.loss_ce: 0.1932, decode.acc_seg: 92.0017, loss: 0.1932 +2023-03-05 03:45:34,271 - mmseg - INFO - Iter [48200/160000] lr: 3.750e-05, eta: 7:32:53, time: 0.200, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1894, decode.acc_seg: 92.1562, loss: 0.1894 +2023-03-05 03:45:43,919 - mmseg - INFO - Iter [48250/160000] lr: 3.750e-05, eta: 7:32:35, time: 0.193, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1929, decode.acc_seg: 92.1116, loss: 0.1929 +2023-03-05 03:45:53,564 - mmseg - INFO - Iter [48300/160000] lr: 3.750e-05, eta: 7:32:17, time: 0.193, data_time: 0.008, memory: 52540, decode.loss_ce: 0.1917, decode.acc_seg: 92.2402, loss: 0.1917 +2023-03-05 03:46:03,274 - mmseg - INFO - Iter [48350/160000] lr: 3.750e-05, eta: 7:32:00, time: 0.194, data_time: 0.008, memory: 52540, decode.loss_ce: 0.1982, decode.acc_seg: 91.9122, loss: 0.1982 +2023-03-05 03:46:12,850 - mmseg - INFO - Iter [48400/160000] lr: 3.750e-05, eta: 7:31:42, time: 0.191, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1990, decode.acc_seg: 91.7526, loss: 0.1990 +2023-03-05 03:46:22,686 - mmseg - INFO - Iter [48450/160000] lr: 3.750e-05, eta: 7:31:24, time: 0.197, data_time: 0.008, memory: 52540, decode.loss_ce: 0.1987, decode.acc_seg: 91.8114, loss: 0.1987 +2023-03-05 03:46:32,231 - mmseg - INFO - Iter [48500/160000] lr: 3.750e-05, eta: 7:31:06, time: 0.191, data_time: 0.008, memory: 52540, decode.loss_ce: 0.1958, decode.acc_seg: 92.1463, loss: 0.1958 +2023-03-05 03:46:42,158 - mmseg - INFO - Iter [48550/160000] lr: 3.750e-05, eta: 7:30:49, time: 0.199, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1931, decode.acc_seg: 92.0446, loss: 0.1931 +2023-03-05 03:46:54,596 - mmseg - INFO - Iter [48600/160000] lr: 3.750e-05, eta: 7:30:37, time: 0.249, data_time: 0.056, memory: 52540, decode.loss_ce: 0.1923, decode.acc_seg: 91.9751, loss: 0.1923 +2023-03-05 03:47:04,072 - mmseg - INFO - Iter [48650/160000] lr: 3.750e-05, eta: 7:30:19, time: 0.190, data_time: 0.008, memory: 52540, decode.loss_ce: 0.1959, decode.acc_seg: 92.0285, loss: 0.1959 +2023-03-05 03:47:13,806 - mmseg - INFO - Iter [48700/160000] lr: 3.750e-05, eta: 7:30:01, time: 0.195, data_time: 0.008, memory: 52540, decode.loss_ce: 0.1972, decode.acc_seg: 92.0493, loss: 0.1972 +2023-03-05 03:47:23,400 - mmseg - INFO - Iter [48750/160000] lr: 3.750e-05, eta: 7:29:44, time: 0.192, data_time: 0.008, memory: 52540, decode.loss_ce: 0.1913, decode.acc_seg: 92.1767, loss: 0.1913 +2023-03-05 03:47:33,340 - mmseg - INFO - Iter [48800/160000] lr: 3.750e-05, eta: 7:29:26, time: 0.199, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1982, decode.acc_seg: 91.8021, loss: 0.1982 +2023-03-05 03:47:43,155 - mmseg - INFO - Iter [48850/160000] lr: 3.750e-05, eta: 7:29:09, time: 0.196, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1977, decode.acc_seg: 91.9532, loss: 0.1977 +2023-03-05 03:47:52,907 - mmseg - INFO - Iter [48900/160000] lr: 3.750e-05, eta: 7:28:52, time: 0.195, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1974, decode.acc_seg: 91.9829, loss: 0.1974 +2023-03-05 03:48:02,691 - mmseg - INFO - Iter [48950/160000] lr: 3.750e-05, eta: 7:28:34, time: 0.196, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1873, decode.acc_seg: 92.2184, loss: 0.1873 +2023-03-05 03:48:12,259 - mmseg - INFO - Exp name: ablation_segformer_mit_b2_segformer_head_unet_fc_small_multi_step_ade_pretrained_freeze_embed_160k_ade20k151_mask_finetune_maskreplace.py +2023-03-05 03:48:12,259 - mmseg - INFO - Iter [49000/160000] lr: 3.750e-05, eta: 7:28:16, time: 0.191, data_time: 0.008, memory: 52540, decode.loss_ce: 0.1983, decode.acc_seg: 91.8692, loss: 0.1983 +2023-03-05 03:48:22,143 - mmseg - INFO - Iter [49050/160000] lr: 3.750e-05, eta: 7:27:59, time: 0.197, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1961, decode.acc_seg: 91.9703, loss: 0.1961 +2023-03-05 03:48:32,097 - mmseg - INFO - Iter [49100/160000] lr: 3.750e-05, eta: 7:27:42, time: 0.199, data_time: 0.008, memory: 52540, decode.loss_ce: 0.1899, decode.acc_seg: 92.2106, loss: 0.1899 +2023-03-05 03:48:41,828 - mmseg - INFO - Iter [49150/160000] lr: 3.750e-05, eta: 7:27:25, time: 0.195, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1897, decode.acc_seg: 92.3119, loss: 0.1897 +2023-03-05 03:48:51,507 - mmseg - INFO - Iter [49200/160000] lr: 3.750e-05, eta: 7:27:07, time: 0.194, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1975, decode.acc_seg: 92.0270, loss: 0.1975 +2023-03-05 03:49:03,496 - mmseg - INFO - Iter [49250/160000] lr: 3.750e-05, eta: 7:26:55, time: 0.240, data_time: 0.056, memory: 52540, decode.loss_ce: 0.1917, decode.acc_seg: 92.2282, loss: 0.1917 +2023-03-05 03:49:13,134 - mmseg - INFO - Iter [49300/160000] lr: 3.750e-05, eta: 7:26:37, time: 0.193, data_time: 0.008, memory: 52540, decode.loss_ce: 0.1858, decode.acc_seg: 92.4590, loss: 0.1858 +2023-03-05 03:49:22,777 - mmseg - INFO - Iter [49350/160000] lr: 3.750e-05, eta: 7:26:19, time: 0.193, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1906, decode.acc_seg: 92.1486, loss: 0.1906 +2023-03-05 03:49:32,418 - mmseg - INFO - Iter [49400/160000] lr: 3.750e-05, eta: 7:26:02, time: 0.193, data_time: 0.007, memory: 52540, decode.loss_ce: 0.2086, decode.acc_seg: 91.6357, loss: 0.2086 +2023-03-05 03:49:42,401 - mmseg - INFO - Iter [49450/160000] lr: 3.750e-05, eta: 7:25:45, time: 0.200, data_time: 0.008, memory: 52540, decode.loss_ce: 0.1945, decode.acc_seg: 92.0214, loss: 0.1945 +2023-03-05 03:49:52,074 - mmseg - INFO - Iter [49500/160000] lr: 3.750e-05, eta: 7:25:27, time: 0.193, data_time: 0.008, memory: 52540, decode.loss_ce: 0.1983, decode.acc_seg: 91.8033, loss: 0.1983 +2023-03-05 03:50:01,786 - mmseg - INFO - Iter [49550/160000] lr: 3.750e-05, eta: 7:25:10, time: 0.194, data_time: 0.008, memory: 52540, decode.loss_ce: 0.1891, decode.acc_seg: 92.1698, loss: 0.1891 +2023-03-05 03:50:11,532 - mmseg - INFO - Iter [49600/160000] lr: 3.750e-05, eta: 7:24:53, time: 0.195, data_time: 0.008, memory: 52540, decode.loss_ce: 0.1922, decode.acc_seg: 92.0423, loss: 0.1922 +2023-03-05 03:50:21,237 - mmseg - INFO - Iter [49650/160000] lr: 3.750e-05, eta: 7:24:35, time: 0.194, data_time: 0.008, memory: 52540, decode.loss_ce: 0.1880, decode.acc_seg: 92.4142, loss: 0.1880 +2023-03-05 03:50:30,949 - mmseg - INFO - Iter [49700/160000] lr: 3.750e-05, eta: 7:24:18, time: 0.194, data_time: 0.007, memory: 52540, decode.loss_ce: 0.2012, decode.acc_seg: 91.8517, loss: 0.2012 +2023-03-05 03:50:40,575 - mmseg - INFO - Iter [49750/160000] lr: 3.750e-05, eta: 7:24:00, time: 0.192, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1996, decode.acc_seg: 91.8484, loss: 0.1996 +2023-03-05 03:50:50,089 - mmseg - INFO - Iter [49800/160000] lr: 3.750e-05, eta: 7:23:43, time: 0.190, data_time: 0.007, memory: 52540, decode.loss_ce: 0.2023, decode.acc_seg: 91.9306, loss: 0.2023 +2023-03-05 03:51:02,214 - mmseg - INFO - Iter [49850/160000] lr: 3.750e-05, eta: 7:23:31, time: 0.242, data_time: 0.058, memory: 52540, decode.loss_ce: 0.1942, decode.acc_seg: 92.0233, loss: 0.1942 +2023-03-05 03:51:11,832 - mmseg - INFO - Iter [49900/160000] lr: 3.750e-05, eta: 7:23:13, time: 0.192, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1970, decode.acc_seg: 91.8936, loss: 0.1970 +2023-03-05 03:51:21,435 - mmseg - INFO - Iter [49950/160000] lr: 3.750e-05, eta: 7:22:56, time: 0.192, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1910, decode.acc_seg: 92.1791, loss: 0.1910 +2023-03-05 03:51:31,174 - mmseg - INFO - Exp name: ablation_segformer_mit_b2_segformer_head_unet_fc_small_multi_step_ade_pretrained_freeze_embed_160k_ade20k151_mask_finetune_maskreplace.py +2023-03-05 03:51:31,174 - mmseg - INFO - Iter [50000/160000] lr: 3.750e-05, eta: 7:22:38, time: 0.195, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1963, decode.acc_seg: 92.1877, loss: 0.1963 +2023-03-05 03:51:40,919 - mmseg - INFO - Iter [50050/160000] lr: 3.750e-05, eta: 7:22:21, time: 0.195, data_time: 0.008, memory: 52540, decode.loss_ce: 0.1980, decode.acc_seg: 91.8129, loss: 0.1980 +2023-03-05 03:51:50,689 - mmseg - INFO - Iter [50100/160000] lr: 3.750e-05, eta: 7:22:04, time: 0.195, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1873, decode.acc_seg: 92.2723, loss: 0.1873 +2023-03-05 03:52:00,710 - mmseg - INFO - Iter [50150/160000] lr: 3.750e-05, eta: 7:21:48, time: 0.200, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1895, decode.acc_seg: 92.2597, loss: 0.1895 +2023-03-05 03:52:10,450 - mmseg - INFO - Iter [50200/160000] lr: 3.750e-05, eta: 7:21:30, time: 0.195, data_time: 0.008, memory: 52540, decode.loss_ce: 0.1904, decode.acc_seg: 92.1393, loss: 0.1904 +2023-03-05 03:52:20,048 - mmseg - INFO - Iter [50250/160000] lr: 3.750e-05, eta: 7:21:13, time: 0.192, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1927, decode.acc_seg: 91.9771, loss: 0.1927 +2023-03-05 03:52:29,723 - mmseg - INFO - Iter [50300/160000] lr: 3.750e-05, eta: 7:20:56, time: 0.194, data_time: 0.008, memory: 52540, decode.loss_ce: 0.1872, decode.acc_seg: 92.1105, loss: 0.1872 +2023-03-05 03:52:39,611 - mmseg - INFO - Iter [50350/160000] lr: 3.750e-05, eta: 7:20:39, time: 0.198, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1960, decode.acc_seg: 91.9665, loss: 0.1960 +2023-03-05 03:52:49,284 - mmseg - INFO - Iter [50400/160000] lr: 3.750e-05, eta: 7:20:22, time: 0.193, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1880, decode.acc_seg: 92.3320, loss: 0.1880 +2023-03-05 03:52:59,016 - mmseg - INFO - Iter [50450/160000] lr: 3.750e-05, eta: 7:20:05, time: 0.195, data_time: 0.008, memory: 52540, decode.loss_ce: 0.1945, decode.acc_seg: 92.1031, loss: 0.1945 +2023-03-05 03:53:11,160 - mmseg - INFO - Iter [50500/160000] lr: 3.750e-05, eta: 7:19:53, time: 0.243, data_time: 0.058, memory: 52540, decode.loss_ce: 0.1974, decode.acc_seg: 92.0172, loss: 0.1974 +2023-03-05 03:53:20,847 - mmseg - INFO - Iter [50550/160000] lr: 3.750e-05, eta: 7:19:36, time: 0.194, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1883, decode.acc_seg: 92.2551, loss: 0.1883 +2023-03-05 03:53:30,549 - mmseg - INFO - Iter [50600/160000] lr: 3.750e-05, eta: 7:19:18, time: 0.194, data_time: 0.008, memory: 52540, decode.loss_ce: 0.1992, decode.acc_seg: 91.8983, loss: 0.1992 +2023-03-05 03:53:40,264 - mmseg - INFO - Iter [50650/160000] lr: 3.750e-05, eta: 7:19:01, time: 0.195, data_time: 0.008, memory: 52540, decode.loss_ce: 0.1964, decode.acc_seg: 91.8836, loss: 0.1964 +2023-03-05 03:53:49,799 - mmseg - INFO - Iter [50700/160000] lr: 3.750e-05, eta: 7:18:44, time: 0.191, data_time: 0.008, memory: 52540, decode.loss_ce: 0.1851, decode.acc_seg: 92.3147, loss: 0.1851 +2023-03-05 03:53:59,390 - mmseg - INFO - Iter [50750/160000] lr: 3.750e-05, eta: 7:18:27, time: 0.192, data_time: 0.008, memory: 52540, decode.loss_ce: 0.1891, decode.acc_seg: 92.2663, loss: 0.1891 +2023-03-05 03:54:08,939 - mmseg - INFO - Iter [50800/160000] lr: 3.750e-05, eta: 7:18:09, time: 0.191, data_time: 0.007, memory: 52540, decode.loss_ce: 0.2026, decode.acc_seg: 91.7502, loss: 0.2026 +2023-03-05 03:54:18,641 - mmseg - INFO - Iter [50850/160000] lr: 3.750e-05, eta: 7:17:52, time: 0.194, data_time: 0.008, memory: 52540, decode.loss_ce: 0.1859, decode.acc_seg: 92.3079, loss: 0.1859 +2023-03-05 03:54:28,408 - mmseg - INFO - Iter [50900/160000] lr: 3.750e-05, eta: 7:17:35, time: 0.195, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1931, decode.acc_seg: 92.0496, loss: 0.1931 +2023-03-05 03:54:37,906 - mmseg - INFO - Iter [50950/160000] lr: 3.750e-05, eta: 7:17:18, time: 0.190, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1920, decode.acc_seg: 92.0834, loss: 0.1920 +2023-03-05 03:54:47,545 - mmseg - INFO - Exp name: ablation_segformer_mit_b2_segformer_head_unet_fc_small_multi_step_ade_pretrained_freeze_embed_160k_ade20k151_mask_finetune_maskreplace.py +2023-03-05 03:54:47,545 - mmseg - INFO - Iter [51000/160000] lr: 3.750e-05, eta: 7:17:01, time: 0.193, data_time: 0.008, memory: 52540, decode.loss_ce: 0.1877, decode.acc_seg: 92.3013, loss: 0.1877 +2023-03-05 03:54:57,070 - mmseg - INFO - Iter [51050/160000] lr: 3.750e-05, eta: 7:16:43, time: 0.191, data_time: 0.008, memory: 52540, decode.loss_ce: 0.1942, decode.acc_seg: 92.1630, loss: 0.1942 +2023-03-05 03:55:06,758 - mmseg - INFO - Iter [51100/160000] lr: 3.750e-05, eta: 7:16:26, time: 0.194, data_time: 0.008, memory: 52540, decode.loss_ce: 0.1938, decode.acc_seg: 92.0451, loss: 0.1938 +2023-03-05 03:55:18,876 - mmseg - INFO - Iter [51150/160000] lr: 3.750e-05, eta: 7:16:14, time: 0.242, data_time: 0.055, memory: 52540, decode.loss_ce: 0.1985, decode.acc_seg: 91.8454, loss: 0.1985 +2023-03-05 03:55:28,462 - mmseg - INFO - Iter [51200/160000] lr: 3.750e-05, eta: 7:15:57, time: 0.192, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1964, decode.acc_seg: 91.9279, loss: 0.1964 +2023-03-05 03:55:38,508 - mmseg - INFO - Iter [51250/160000] lr: 3.750e-05, eta: 7:15:41, time: 0.201, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1929, decode.acc_seg: 92.0976, loss: 0.1929 +2023-03-05 03:55:48,201 - mmseg - INFO - Iter [51300/160000] lr: 3.750e-05, eta: 7:15:24, time: 0.194, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1900, decode.acc_seg: 92.1087, loss: 0.1900 +2023-03-05 03:55:57,823 - mmseg - INFO - Iter [51350/160000] lr: 3.750e-05, eta: 7:15:07, time: 0.193, data_time: 0.008, memory: 52540, decode.loss_ce: 0.1884, decode.acc_seg: 92.2358, loss: 0.1884 +2023-03-05 03:56:07,390 - mmseg - INFO - Iter [51400/160000] lr: 3.750e-05, eta: 7:14:50, time: 0.191, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1976, decode.acc_seg: 91.9534, loss: 0.1976 +2023-03-05 03:56:17,108 - mmseg - INFO - Iter [51450/160000] lr: 3.750e-05, eta: 7:14:33, time: 0.194, data_time: 0.008, memory: 52540, decode.loss_ce: 0.1982, decode.acc_seg: 91.8733, loss: 0.1982 +2023-03-05 03:56:26,688 - mmseg - INFO - Iter [51500/160000] lr: 3.750e-05, eta: 7:14:16, time: 0.192, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1930, decode.acc_seg: 92.0811, loss: 0.1930 +2023-03-05 03:56:36,412 - mmseg - INFO - Iter [51550/160000] lr: 3.750e-05, eta: 7:13:59, time: 0.194, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1923, decode.acc_seg: 92.0403, loss: 0.1923 +2023-03-05 03:56:46,056 - mmseg - INFO - Iter [51600/160000] lr: 3.750e-05, eta: 7:13:42, time: 0.193, data_time: 0.008, memory: 52540, decode.loss_ce: 0.1900, decode.acc_seg: 92.1246, loss: 0.1900 +2023-03-05 03:56:55,948 - mmseg - INFO - Iter [51650/160000] lr: 3.750e-05, eta: 7:13:26, time: 0.198, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1937, decode.acc_seg: 92.0191, loss: 0.1937 +2023-03-05 03:57:05,568 - mmseg - INFO - Iter [51700/160000] lr: 3.750e-05, eta: 7:13:09, time: 0.192, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1926, decode.acc_seg: 92.1638, loss: 0.1926 +2023-03-05 03:57:17,927 - mmseg - INFO - Iter [51750/160000] lr: 3.750e-05, eta: 7:12:57, time: 0.247, data_time: 0.057, memory: 52540, decode.loss_ce: 0.1893, decode.acc_seg: 92.2809, loss: 0.1893 +2023-03-05 03:57:27,650 - mmseg - INFO - Iter [51800/160000] lr: 3.750e-05, eta: 7:12:41, time: 0.194, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1950, decode.acc_seg: 92.1177, loss: 0.1950 +2023-03-05 03:57:37,217 - mmseg - INFO - Iter [51850/160000] lr: 3.750e-05, eta: 7:12:24, time: 0.191, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1871, decode.acc_seg: 92.2966, loss: 0.1871 +2023-03-05 03:57:46,902 - mmseg - INFO - Iter [51900/160000] lr: 3.750e-05, eta: 7:12:07, time: 0.194, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1948, decode.acc_seg: 91.9801, loss: 0.1948 +2023-03-05 03:57:56,720 - mmseg - INFO - Iter [51950/160000] lr: 3.750e-05, eta: 7:11:50, time: 0.196, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1899, decode.acc_seg: 92.1109, loss: 0.1899 +2023-03-05 03:58:06,609 - mmseg - INFO - Exp name: ablation_segformer_mit_b2_segformer_head_unet_fc_small_multi_step_ade_pretrained_freeze_embed_160k_ade20k151_mask_finetune_maskreplace.py +2023-03-05 03:58:06,610 - mmseg - INFO - Iter [52000/160000] lr: 3.750e-05, eta: 7:11:34, time: 0.198, data_time: 0.008, memory: 52540, decode.loss_ce: 0.1916, decode.acc_seg: 92.1420, loss: 0.1916 +2023-03-05 03:58:16,424 - mmseg - INFO - Iter [52050/160000] lr: 3.750e-05, eta: 7:11:17, time: 0.196, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1895, decode.acc_seg: 92.3622, loss: 0.1895 +2023-03-05 03:58:26,170 - mmseg - INFO - Iter [52100/160000] lr: 3.750e-05, eta: 7:11:01, time: 0.195, data_time: 0.007, memory: 52540, decode.loss_ce: 0.2005, decode.acc_seg: 91.7519, loss: 0.2005 +2023-03-05 03:58:36,033 - mmseg - INFO - Iter [52150/160000] lr: 3.750e-05, eta: 7:10:44, time: 0.197, data_time: 0.008, memory: 52540, decode.loss_ce: 0.1945, decode.acc_seg: 92.0648, loss: 0.1945 +2023-03-05 03:58:45,732 - mmseg - INFO - Iter [52200/160000] lr: 3.750e-05, eta: 7:10:28, time: 0.194, data_time: 0.008, memory: 52540, decode.loss_ce: 0.1926, decode.acc_seg: 92.1470, loss: 0.1926 +2023-03-05 03:58:55,361 - mmseg - INFO - Iter [52250/160000] lr: 3.750e-05, eta: 7:10:11, time: 0.193, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1904, decode.acc_seg: 92.1951, loss: 0.1904 +2023-03-05 03:59:04,991 - mmseg - INFO - Iter [52300/160000] lr: 3.750e-05, eta: 7:09:54, time: 0.193, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1907, decode.acc_seg: 92.1239, loss: 0.1907 +2023-03-05 03:59:14,544 - mmseg - INFO - Iter [52350/160000] lr: 3.750e-05, eta: 7:09:37, time: 0.191, data_time: 0.007, memory: 52540, decode.loss_ce: 0.2014, decode.acc_seg: 91.6687, loss: 0.2014 +2023-03-05 03:59:26,646 - mmseg - INFO - Iter [52400/160000] lr: 3.750e-05, eta: 7:09:25, time: 0.242, data_time: 0.058, memory: 52540, decode.loss_ce: 0.1977, decode.acc_seg: 91.8630, loss: 0.1977 +2023-03-05 03:59:36,471 - mmseg - INFO - Iter [52450/160000] lr: 3.750e-05, eta: 7:09:09, time: 0.196, data_time: 0.008, memory: 52540, decode.loss_ce: 0.1913, decode.acc_seg: 92.1640, loss: 0.1913 +2023-03-05 03:59:46,189 - mmseg - INFO - Iter [52500/160000] lr: 3.750e-05, eta: 7:08:52, time: 0.195, data_time: 0.008, memory: 52540, decode.loss_ce: 0.1919, decode.acc_seg: 92.0615, loss: 0.1919 +2023-03-05 03:59:55,807 - mmseg - INFO - Iter [52550/160000] lr: 3.750e-05, eta: 7:08:36, time: 0.192, data_time: 0.008, memory: 52540, decode.loss_ce: 0.1915, decode.acc_seg: 91.9742, loss: 0.1915 +2023-03-05 04:00:05,664 - mmseg - INFO - Iter [52600/160000] lr: 3.750e-05, eta: 7:08:19, time: 0.197, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1955, decode.acc_seg: 91.8920, loss: 0.1955 +2023-03-05 04:00:15,506 - mmseg - INFO - Iter [52650/160000] lr: 3.750e-05, eta: 7:08:03, time: 0.197, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1921, decode.acc_seg: 92.0165, loss: 0.1921 +2023-03-05 04:00:25,258 - mmseg - INFO - Iter [52700/160000] lr: 3.750e-05, eta: 7:07:47, time: 0.195, data_time: 0.008, memory: 52540, decode.loss_ce: 0.1932, decode.acc_seg: 92.1209, loss: 0.1932 +2023-03-05 04:00:34,865 - mmseg - INFO - Iter [52750/160000] lr: 3.750e-05, eta: 7:07:30, time: 0.192, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1973, decode.acc_seg: 91.9591, loss: 0.1973 +2023-03-05 04:00:44,400 - mmseg - INFO - Iter [52800/160000] lr: 3.750e-05, eta: 7:07:13, time: 0.191, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1945, decode.acc_seg: 91.9512, loss: 0.1945 +2023-03-05 04:00:53,990 - mmseg - INFO - Iter [52850/160000] lr: 3.750e-05, eta: 7:06:56, time: 0.192, data_time: 0.008, memory: 52540, decode.loss_ce: 0.1872, decode.acc_seg: 92.2060, loss: 0.1872 +2023-03-05 04:01:03,609 - mmseg - INFO - Iter [52900/160000] lr: 3.750e-05, eta: 7:06:40, time: 0.192, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1987, decode.acc_seg: 91.8379, loss: 0.1987 +2023-03-05 04:01:13,180 - mmseg - INFO - Iter [52950/160000] lr: 3.750e-05, eta: 7:06:23, time: 0.191, data_time: 0.008, memory: 52540, decode.loss_ce: 0.1925, decode.acc_seg: 92.1899, loss: 0.1925 +2023-03-05 04:01:22,913 - mmseg - INFO - Exp name: ablation_segformer_mit_b2_segformer_head_unet_fc_small_multi_step_ade_pretrained_freeze_embed_160k_ade20k151_mask_finetune_maskreplace.py +2023-03-05 04:01:22,913 - mmseg - INFO - Iter [53000/160000] lr: 3.750e-05, eta: 7:06:06, time: 0.195, data_time: 0.008, memory: 52540, decode.loss_ce: 0.1964, decode.acc_seg: 92.0290, loss: 0.1964 +2023-03-05 04:01:35,394 - mmseg - INFO - Iter [53050/160000] lr: 3.750e-05, eta: 7:05:55, time: 0.250, data_time: 0.054, memory: 52540, decode.loss_ce: 0.1999, decode.acc_seg: 91.9656, loss: 0.1999 +2023-03-05 04:01:45,057 - mmseg - INFO - Iter [53100/160000] lr: 3.750e-05, eta: 7:05:39, time: 0.193, data_time: 0.007, memory: 52540, decode.loss_ce: 0.2055, decode.acc_seg: 91.7407, loss: 0.2055 +2023-03-05 04:01:54,654 - mmseg - INFO - Iter [53150/160000] lr: 3.750e-05, eta: 7:05:22, time: 0.192, data_time: 0.008, memory: 52540, decode.loss_ce: 0.1976, decode.acc_seg: 92.0539, loss: 0.1976 +2023-03-05 04:02:04,363 - mmseg - INFO - Iter [53200/160000] lr: 3.750e-05, eta: 7:05:06, time: 0.194, data_time: 0.008, memory: 52540, decode.loss_ce: 0.1928, decode.acc_seg: 92.2591, loss: 0.1928 +2023-03-05 04:02:14,053 - mmseg - INFO - Iter [53250/160000] lr: 3.750e-05, eta: 7:04:49, time: 0.194, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1938, decode.acc_seg: 91.9902, loss: 0.1938 +2023-03-05 04:02:23,738 - mmseg - INFO - Iter [53300/160000] lr: 3.750e-05, eta: 7:04:33, time: 0.194, data_time: 0.007, memory: 52540, decode.loss_ce: 0.2000, decode.acc_seg: 91.8264, loss: 0.2000 +2023-03-05 04:02:33,421 - mmseg - INFO - Iter [53350/160000] lr: 3.750e-05, eta: 7:04:16, time: 0.194, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1875, decode.acc_seg: 92.1120, loss: 0.1875 +2023-03-05 04:02:43,173 - mmseg - INFO - Iter [53400/160000] lr: 3.750e-05, eta: 7:04:00, time: 0.195, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1906, decode.acc_seg: 92.1339, loss: 0.1906 +2023-03-05 04:02:52,805 - mmseg - INFO - Iter [53450/160000] lr: 3.750e-05, eta: 7:03:44, time: 0.193, data_time: 0.008, memory: 52540, decode.loss_ce: 0.1864, decode.acc_seg: 92.3190, loss: 0.1864 +2023-03-05 04:03:02,549 - mmseg - INFO - Iter [53500/160000] lr: 3.750e-05, eta: 7:03:27, time: 0.195, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1950, decode.acc_seg: 92.0604, loss: 0.1950 +2023-03-05 04:03:12,081 - mmseg - INFO - Iter [53550/160000] lr: 3.750e-05, eta: 7:03:11, time: 0.191, data_time: 0.008, memory: 52540, decode.loss_ce: 0.1918, decode.acc_seg: 92.1422, loss: 0.1918 +2023-03-05 04:03:21,907 - mmseg - INFO - Iter [53600/160000] lr: 3.750e-05, eta: 7:02:55, time: 0.197, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1896, decode.acc_seg: 92.1480, loss: 0.1896 +2023-03-05 04:03:34,088 - mmseg - INFO - Iter [53650/160000] lr: 3.750e-05, eta: 7:02:43, time: 0.243, data_time: 0.056, memory: 52540, decode.loss_ce: 0.2008, decode.acc_seg: 91.8754, loss: 0.2008 +2023-03-05 04:03:43,812 - mmseg - INFO - Iter [53700/160000] lr: 3.750e-05, eta: 7:02:27, time: 0.195, data_time: 0.008, memory: 52540, decode.loss_ce: 0.1960, decode.acc_seg: 92.0347, loss: 0.1960 +2023-03-05 04:03:53,599 - mmseg - INFO - Iter [53750/160000] lr: 3.750e-05, eta: 7:02:11, time: 0.196, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1935, decode.acc_seg: 91.9534, loss: 0.1935 +2023-03-05 04:04:03,301 - mmseg - INFO - Iter [53800/160000] lr: 3.750e-05, eta: 7:01:54, time: 0.194, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1872, decode.acc_seg: 92.4087, loss: 0.1872 +2023-03-05 04:04:13,369 - mmseg - INFO - Iter [53850/160000] lr: 3.750e-05, eta: 7:01:39, time: 0.201, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1834, decode.acc_seg: 92.3487, loss: 0.1834 +2023-03-05 04:04:23,160 - mmseg - INFO - Iter [53900/160000] lr: 3.750e-05, eta: 7:01:23, time: 0.196, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1904, decode.acc_seg: 92.0885, loss: 0.1904 +2023-03-05 04:04:32,925 - mmseg - INFO - Iter [53950/160000] lr: 3.750e-05, eta: 7:01:07, time: 0.195, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1938, decode.acc_seg: 92.1097, loss: 0.1938 +2023-03-05 04:04:42,491 - mmseg - INFO - Exp name: ablation_segformer_mit_b2_segformer_head_unet_fc_small_multi_step_ade_pretrained_freeze_embed_160k_ade20k151_mask_finetune_maskreplace.py +2023-03-05 04:04:42,491 - mmseg - INFO - Iter [54000/160000] lr: 3.750e-05, eta: 7:00:50, time: 0.191, data_time: 0.008, memory: 52540, decode.loss_ce: 0.1942, decode.acc_seg: 92.0606, loss: 0.1942 +2023-03-05 04:04:52,393 - mmseg - INFO - Iter [54050/160000] lr: 3.750e-05, eta: 7:00:34, time: 0.198, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1937, decode.acc_seg: 92.0699, loss: 0.1937 +2023-03-05 04:05:02,294 - mmseg - INFO - Iter [54100/160000] lr: 3.750e-05, eta: 7:00:18, time: 0.198, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1966, decode.acc_seg: 91.8870, loss: 0.1966 +2023-03-05 04:05:11,820 - mmseg - INFO - Iter [54150/160000] lr: 3.750e-05, eta: 7:00:02, time: 0.191, data_time: 0.008, memory: 52540, decode.loss_ce: 0.1995, decode.acc_seg: 91.7728, loss: 0.1995 +2023-03-05 04:05:21,685 - mmseg - INFO - Iter [54200/160000] lr: 3.750e-05, eta: 6:59:46, time: 0.197, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1907, decode.acc_seg: 92.1761, loss: 0.1907 +2023-03-05 04:05:31,778 - mmseg - INFO - Iter [54250/160000] lr: 3.750e-05, eta: 6:59:31, time: 0.202, data_time: 0.008, memory: 52540, decode.loss_ce: 0.1956, decode.acc_seg: 91.9383, loss: 0.1956 +2023-03-05 04:05:44,013 - mmseg - INFO - Iter [54300/160000] lr: 3.750e-05, eta: 6:59:19, time: 0.245, data_time: 0.057, memory: 52540, decode.loss_ce: 0.1863, decode.acc_seg: 92.2813, loss: 0.1863 +2023-03-05 04:05:53,880 - mmseg - INFO - Iter [54350/160000] lr: 3.750e-05, eta: 6:59:03, time: 0.197, data_time: 0.008, memory: 52540, decode.loss_ce: 0.2016, decode.acc_seg: 91.7933, loss: 0.2016 +2023-03-05 04:06:03,603 - mmseg - INFO - Iter [54400/160000] lr: 3.750e-05, eta: 6:58:47, time: 0.194, data_time: 0.007, memory: 52540, decode.loss_ce: 0.2047, decode.acc_seg: 91.6216, loss: 0.2047 +2023-03-05 04:06:13,202 - mmseg - INFO - Iter [54450/160000] lr: 3.750e-05, eta: 6:58:31, time: 0.192, data_time: 0.008, memory: 52540, decode.loss_ce: 0.1841, decode.acc_seg: 92.3080, loss: 0.1841 +2023-03-05 04:06:22,907 - mmseg - INFO - Iter [54500/160000] lr: 3.750e-05, eta: 6:58:15, time: 0.194, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1935, decode.acc_seg: 92.0307, loss: 0.1935 +2023-03-05 04:06:32,679 - mmseg - INFO - Iter [54550/160000] lr: 3.750e-05, eta: 6:57:59, time: 0.196, data_time: 0.008, memory: 52540, decode.loss_ce: 0.1926, decode.acc_seg: 92.2496, loss: 0.1926 +2023-03-05 04:06:42,632 - mmseg - INFO - Iter [54600/160000] lr: 3.750e-05, eta: 6:57:43, time: 0.199, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1999, decode.acc_seg: 91.9223, loss: 0.1999 +2023-03-05 04:06:52,255 - mmseg - INFO - Iter [54650/160000] lr: 3.750e-05, eta: 6:57:27, time: 0.192, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1941, decode.acc_seg: 91.8543, loss: 0.1941 +2023-03-05 04:07:01,976 - mmseg - INFO - Iter [54700/160000] lr: 3.750e-05, eta: 6:57:11, time: 0.194, data_time: 0.008, memory: 52540, decode.loss_ce: 0.1899, decode.acc_seg: 92.1934, loss: 0.1899 +2023-03-05 04:07:11,723 - mmseg - INFO - Iter [54750/160000] lr: 3.750e-05, eta: 6:56:55, time: 0.195, data_time: 0.008, memory: 52540, decode.loss_ce: 0.1894, decode.acc_seg: 92.2051, loss: 0.1894 +2023-03-05 04:07:21,579 - mmseg - INFO - Iter [54800/160000] lr: 3.750e-05, eta: 6:56:39, time: 0.197, data_time: 0.008, memory: 52540, decode.loss_ce: 0.1990, decode.acc_seg: 91.9345, loss: 0.1990 +2023-03-05 04:07:31,244 - mmseg - INFO - Iter [54850/160000] lr: 3.750e-05, eta: 6:56:23, time: 0.193, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1838, decode.acc_seg: 92.1757, loss: 0.1838 +2023-03-05 04:07:43,435 - mmseg - INFO - Iter [54900/160000] lr: 3.750e-05, eta: 6:56:12, time: 0.244, data_time: 0.055, memory: 52540, decode.loss_ce: 0.1990, decode.acc_seg: 91.9685, loss: 0.1990 +2023-03-05 04:07:53,513 - mmseg - INFO - Iter [54950/160000] lr: 3.750e-05, eta: 6:55:56, time: 0.202, data_time: 0.008, memory: 52540, decode.loss_ce: 0.1854, decode.acc_seg: 92.2990, loss: 0.1854 +2023-03-05 04:08:03,139 - mmseg - INFO - Exp name: ablation_segformer_mit_b2_segformer_head_unet_fc_small_multi_step_ade_pretrained_freeze_embed_160k_ade20k151_mask_finetune_maskreplace.py +2023-03-05 04:08:03,139 - mmseg - INFO - Iter [55000/160000] lr: 3.750e-05, eta: 6:55:40, time: 0.193, data_time: 0.008, memory: 52540, decode.loss_ce: 0.1912, decode.acc_seg: 92.0999, loss: 0.1912 +2023-03-05 04:08:12,671 - mmseg - INFO - Iter [55050/160000] lr: 3.750e-05, eta: 6:55:24, time: 0.191, data_time: 0.008, memory: 52540, decode.loss_ce: 0.1976, decode.acc_seg: 91.9016, loss: 0.1976 +2023-03-05 04:08:22,250 - mmseg - INFO - Iter [55100/160000] lr: 3.750e-05, eta: 6:55:08, time: 0.192, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1944, decode.acc_seg: 91.9446, loss: 0.1944 +2023-03-05 04:08:31,829 - mmseg - INFO - Iter [55150/160000] lr: 3.750e-05, eta: 6:54:51, time: 0.192, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1876, decode.acc_seg: 92.4296, loss: 0.1876 +2023-03-05 04:08:41,442 - mmseg - INFO - Iter [55200/160000] lr: 3.750e-05, eta: 6:54:35, time: 0.192, data_time: 0.008, memory: 52540, decode.loss_ce: 0.1951, decode.acc_seg: 92.0481, loss: 0.1951 +2023-03-05 04:08:51,147 - mmseg - INFO - Iter [55250/160000] lr: 3.750e-05, eta: 6:54:19, time: 0.194, data_time: 0.008, memory: 52540, decode.loss_ce: 0.2000, decode.acc_seg: 91.9070, loss: 0.2000 +2023-03-05 04:09:00,712 - mmseg - INFO - Iter [55300/160000] lr: 3.750e-05, eta: 6:54:03, time: 0.191, data_time: 0.008, memory: 52540, decode.loss_ce: 0.1862, decode.acc_seg: 92.2905, loss: 0.1862 +2023-03-05 04:09:10,437 - mmseg - INFO - Iter [55350/160000] lr: 3.750e-05, eta: 6:53:47, time: 0.194, data_time: 0.008, memory: 52540, decode.loss_ce: 0.1947, decode.acc_seg: 92.0110, loss: 0.1947 +2023-03-05 04:09:20,247 - mmseg - INFO - Iter [55400/160000] lr: 3.750e-05, eta: 6:53:31, time: 0.196, data_time: 0.008, memory: 52540, decode.loss_ce: 0.1945, decode.acc_seg: 91.9385, loss: 0.1945 +2023-03-05 04:09:29,934 - mmseg - INFO - Iter [55450/160000] lr: 3.750e-05, eta: 6:53:15, time: 0.194, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1979, decode.acc_seg: 91.7978, loss: 0.1979 +2023-03-05 04:09:39,818 - mmseg - INFO - Iter [55500/160000] lr: 3.750e-05, eta: 6:53:00, time: 0.197, data_time: 0.008, memory: 52540, decode.loss_ce: 0.1920, decode.acc_seg: 92.0672, loss: 0.1920 +2023-03-05 04:09:52,034 - mmseg - INFO - Iter [55550/160000] lr: 3.750e-05, eta: 6:52:49, time: 0.245, data_time: 0.054, memory: 52540, decode.loss_ce: 0.1891, decode.acc_seg: 92.2587, loss: 0.1891 +2023-03-05 04:10:01,902 - mmseg - INFO - Iter [55600/160000] lr: 3.750e-05, eta: 6:52:33, time: 0.197, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1960, decode.acc_seg: 91.9607, loss: 0.1960 +2023-03-05 04:10:11,619 - mmseg - INFO - Iter [55650/160000] lr: 3.750e-05, eta: 6:52:17, time: 0.195, data_time: 0.008, memory: 52540, decode.loss_ce: 0.1908, decode.acc_seg: 92.0719, loss: 0.1908 +2023-03-05 04:10:21,154 - mmseg - INFO - Iter [55700/160000] lr: 3.750e-05, eta: 6:52:01, time: 0.191, data_time: 0.008, memory: 52540, decode.loss_ce: 0.2025, decode.acc_seg: 91.6199, loss: 0.2025 +2023-03-05 04:10:30,934 - mmseg - INFO - Iter [55750/160000] lr: 3.750e-05, eta: 6:51:45, time: 0.196, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1830, decode.acc_seg: 92.3570, loss: 0.1830 +2023-03-05 04:10:40,577 - mmseg - INFO - Iter [55800/160000] lr: 3.750e-05, eta: 6:51:29, time: 0.193, data_time: 0.008, memory: 52540, decode.loss_ce: 0.1948, decode.acc_seg: 91.8965, loss: 0.1948 +2023-03-05 04:10:50,174 - mmseg - INFO - Iter [55850/160000] lr: 3.750e-05, eta: 6:51:13, time: 0.192, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1897, decode.acc_seg: 92.2429, loss: 0.1897 +2023-03-05 04:10:59,703 - mmseg - INFO - Iter [55900/160000] lr: 3.750e-05, eta: 6:50:57, time: 0.191, data_time: 0.008, memory: 52540, decode.loss_ce: 0.1915, decode.acc_seg: 92.2572, loss: 0.1915 +2023-03-05 04:11:09,527 - mmseg - INFO - Iter [55950/160000] lr: 3.750e-05, eta: 6:50:42, time: 0.196, data_time: 0.008, memory: 52540, decode.loss_ce: 0.2037, decode.acc_seg: 91.7560, loss: 0.2037 +2023-03-05 04:11:19,103 - mmseg - INFO - Exp name: ablation_segformer_mit_b2_segformer_head_unet_fc_small_multi_step_ade_pretrained_freeze_embed_160k_ade20k151_mask_finetune_maskreplace.py +2023-03-05 04:11:19,104 - mmseg - INFO - Iter [56000/160000] lr: 3.750e-05, eta: 6:50:25, time: 0.192, data_time: 0.008, memory: 52540, decode.loss_ce: 0.1896, decode.acc_seg: 92.1770, loss: 0.1896 +2023-03-05 04:11:28,876 - mmseg - INFO - Iter [56050/160000] lr: 3.750e-05, eta: 6:50:10, time: 0.195, data_time: 0.008, memory: 52540, decode.loss_ce: 0.1970, decode.acc_seg: 91.9458, loss: 0.1970 +2023-03-05 04:11:38,766 - mmseg - INFO - Iter [56100/160000] lr: 3.750e-05, eta: 6:49:54, time: 0.198, data_time: 0.008, memory: 52540, decode.loss_ce: 0.1944, decode.acc_seg: 92.0018, loss: 0.1944 +2023-03-05 04:11:48,487 - mmseg - INFO - Iter [56150/160000] lr: 3.750e-05, eta: 6:49:39, time: 0.194, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1843, decode.acc_seg: 92.4570, loss: 0.1843 +2023-03-05 04:12:00,683 - mmseg - INFO - Iter [56200/160000] lr: 3.750e-05, eta: 6:49:27, time: 0.244, data_time: 0.056, memory: 52540, decode.loss_ce: 0.1957, decode.acc_seg: 92.1000, loss: 0.1957 +2023-03-05 04:12:10,620 - mmseg - INFO - Iter [56250/160000] lr: 3.750e-05, eta: 6:49:12, time: 0.199, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1937, decode.acc_seg: 92.0170, loss: 0.1937 +2023-03-05 04:12:20,245 - mmseg - INFO - Iter [56300/160000] lr: 3.750e-05, eta: 6:48:56, time: 0.193, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1919, decode.acc_seg: 92.0897, loss: 0.1919 +2023-03-05 04:12:29,877 - mmseg - INFO - Iter [56350/160000] lr: 3.750e-05, eta: 6:48:40, time: 0.193, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1976, decode.acc_seg: 91.8915, loss: 0.1976 +2023-03-05 04:12:39,463 - mmseg - INFO - Iter [56400/160000] lr: 3.750e-05, eta: 6:48:24, time: 0.192, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1941, decode.acc_seg: 91.9004, loss: 0.1941 +2023-03-05 04:12:49,330 - mmseg - INFO - Iter [56450/160000] lr: 3.750e-05, eta: 6:48:09, time: 0.197, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1973, decode.acc_seg: 91.8724, loss: 0.1973 +2023-03-05 04:12:59,119 - mmseg - INFO - Iter [56500/160000] lr: 3.750e-05, eta: 6:47:53, time: 0.196, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1931, decode.acc_seg: 92.0986, loss: 0.1931 +2023-03-05 04:13:08,677 - mmseg - INFO - Iter [56550/160000] lr: 3.750e-05, eta: 6:47:37, time: 0.191, data_time: 0.008, memory: 52540, decode.loss_ce: 0.1995, decode.acc_seg: 91.9851, loss: 0.1995 +2023-03-05 04:13:18,389 - mmseg - INFO - Iter [56600/160000] lr: 3.750e-05, eta: 6:47:22, time: 0.194, data_time: 0.008, memory: 52540, decode.loss_ce: 0.1997, decode.acc_seg: 92.0945, loss: 0.1997 +2023-03-05 04:13:28,099 - mmseg - INFO - Iter [56650/160000] lr: 3.750e-05, eta: 6:47:06, time: 0.194, data_time: 0.008, memory: 52540, decode.loss_ce: 0.1875, decode.acc_seg: 92.2195, loss: 0.1875 +2023-03-05 04:13:37,743 - mmseg - INFO - Iter [56700/160000] lr: 3.750e-05, eta: 6:46:50, time: 0.193, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1896, decode.acc_seg: 92.1670, loss: 0.1896 +2023-03-05 04:13:47,396 - mmseg - INFO - Iter [56750/160000] lr: 3.750e-05, eta: 6:46:35, time: 0.193, data_time: 0.008, memory: 52540, decode.loss_ce: 0.1930, decode.acc_seg: 92.1336, loss: 0.1930 +2023-03-05 04:13:59,494 - mmseg - INFO - Iter [56800/160000] lr: 3.750e-05, eta: 6:46:23, time: 0.242, data_time: 0.056, memory: 52540, decode.loss_ce: 0.1986, decode.acc_seg: 91.6962, loss: 0.1986 +2023-03-05 04:14:09,183 - mmseg - INFO - Iter [56850/160000] lr: 3.750e-05, eta: 6:46:08, time: 0.194, data_time: 0.008, memory: 52540, decode.loss_ce: 0.1958, decode.acc_seg: 92.0679, loss: 0.1958 +2023-03-05 04:14:18,754 - mmseg - INFO - Iter [56900/160000] lr: 3.750e-05, eta: 6:45:52, time: 0.191, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1914, decode.acc_seg: 92.2522, loss: 0.1914 +2023-03-05 04:14:28,380 - mmseg - INFO - Iter [56950/160000] lr: 3.750e-05, eta: 6:45:36, time: 0.193, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1822, decode.acc_seg: 92.3969, loss: 0.1822 +2023-03-05 04:14:37,997 - mmseg - INFO - Exp name: ablation_segformer_mit_b2_segformer_head_unet_fc_small_multi_step_ade_pretrained_freeze_embed_160k_ade20k151_mask_finetune_maskreplace.py +2023-03-05 04:14:37,998 - mmseg - INFO - Iter [57000/160000] lr: 3.750e-05, eta: 6:45:20, time: 0.192, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1878, decode.acc_seg: 92.1404, loss: 0.1878 +2023-03-05 04:14:47,795 - mmseg - INFO - Iter [57050/160000] lr: 3.750e-05, eta: 6:45:05, time: 0.196, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1932, decode.acc_seg: 92.0896, loss: 0.1932 +2023-03-05 04:14:57,396 - mmseg - INFO - Iter [57100/160000] lr: 3.750e-05, eta: 6:44:49, time: 0.192, data_time: 0.008, memory: 52540, decode.loss_ce: 0.1884, decode.acc_seg: 92.1758, loss: 0.1884 +2023-03-05 04:15:06,991 - mmseg - INFO - Iter [57150/160000] lr: 3.750e-05, eta: 6:44:33, time: 0.192, data_time: 0.008, memory: 52540, decode.loss_ce: 0.1882, decode.acc_seg: 92.1487, loss: 0.1882 +2023-03-05 04:15:16,585 - mmseg - INFO - Iter [57200/160000] lr: 3.750e-05, eta: 6:44:17, time: 0.192, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1920, decode.acc_seg: 91.9622, loss: 0.1920 +2023-03-05 04:15:26,281 - mmseg - INFO - Iter [57250/160000] lr: 3.750e-05, eta: 6:44:02, time: 0.194, data_time: 0.008, memory: 52540, decode.loss_ce: 0.1918, decode.acc_seg: 92.2002, loss: 0.1918 +2023-03-05 04:15:35,897 - mmseg - INFO - Iter [57300/160000] lr: 3.750e-05, eta: 6:43:46, time: 0.192, data_time: 0.008, memory: 52540, decode.loss_ce: 0.1902, decode.acc_seg: 92.2570, loss: 0.1902 +2023-03-05 04:15:46,001 - mmseg - INFO - Iter [57350/160000] lr: 3.750e-05, eta: 6:43:31, time: 0.202, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1928, decode.acc_seg: 92.1026, loss: 0.1928 +2023-03-05 04:15:55,847 - mmseg - INFO - Iter [57400/160000] lr: 3.750e-05, eta: 6:43:16, time: 0.197, data_time: 0.008, memory: 52540, decode.loss_ce: 0.2027, decode.acc_seg: 91.6634, loss: 0.2027 +2023-03-05 04:16:08,056 - mmseg - INFO - Iter [57450/160000] lr: 3.750e-05, eta: 6:43:05, time: 0.244, data_time: 0.057, memory: 52540, decode.loss_ce: 0.1870, decode.acc_seg: 92.3364, loss: 0.1870 +2023-03-05 04:16:17,861 - mmseg - INFO - Iter [57500/160000] lr: 3.750e-05, eta: 6:42:50, time: 0.196, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1997, decode.acc_seg: 91.9120, loss: 0.1997 +2023-03-05 04:16:27,819 - mmseg - INFO - Iter [57550/160000] lr: 3.750e-05, eta: 6:42:35, time: 0.199, data_time: 0.007, memory: 52540, decode.loss_ce: 0.2016, decode.acc_seg: 91.8473, loss: 0.2016 +2023-03-05 04:16:37,532 - mmseg - INFO - Iter [57600/160000] lr: 3.750e-05, eta: 6:42:19, time: 0.194, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1855, decode.acc_seg: 92.3390, loss: 0.1855 +2023-03-05 04:16:47,194 - mmseg - INFO - Iter [57650/160000] lr: 3.750e-05, eta: 6:42:04, time: 0.193, data_time: 0.008, memory: 52540, decode.loss_ce: 0.1964, decode.acc_seg: 91.9883, loss: 0.1964 +2023-03-05 04:16:56,743 - mmseg - INFO - Iter [57700/160000] lr: 3.750e-05, eta: 6:41:48, time: 0.191, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1915, decode.acc_seg: 91.9951, loss: 0.1915 +2023-03-05 04:17:06,521 - mmseg - INFO - Iter [57750/160000] lr: 3.750e-05, eta: 6:41:32, time: 0.196, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1894, decode.acc_seg: 92.1680, loss: 0.1894 +2023-03-05 04:17:16,304 - mmseg - INFO - Iter [57800/160000] lr: 3.750e-05, eta: 6:41:17, time: 0.196, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1914, decode.acc_seg: 92.1332, loss: 0.1914 +2023-03-05 04:17:26,193 - mmseg - INFO - Iter [57850/160000] lr: 3.750e-05, eta: 6:41:02, time: 0.198, data_time: 0.007, memory: 52540, decode.loss_ce: 0.2026, decode.acc_seg: 91.7444, loss: 0.2026 +2023-03-05 04:17:35,818 - mmseg - INFO - Iter [57900/160000] lr: 3.750e-05, eta: 6:40:46, time: 0.193, data_time: 0.008, memory: 52540, decode.loss_ce: 0.1981, decode.acc_seg: 91.8523, loss: 0.1981 +2023-03-05 04:17:45,417 - mmseg - INFO - Iter [57950/160000] lr: 3.750e-05, eta: 6:40:31, time: 0.192, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1939, decode.acc_seg: 92.0427, loss: 0.1939 +2023-03-05 04:17:55,184 - mmseg - INFO - Exp name: ablation_segformer_mit_b2_segformer_head_unet_fc_small_multi_step_ade_pretrained_freeze_embed_160k_ade20k151_mask_finetune_maskreplace.py +2023-03-05 04:17:55,185 - mmseg - INFO - Iter [58000/160000] lr: 3.750e-05, eta: 6:40:16, time: 0.196, data_time: 0.008, memory: 52540, decode.loss_ce: 0.1961, decode.acc_seg: 91.8530, loss: 0.1961 +2023-03-05 04:18:05,082 - mmseg - INFO - Iter [58050/160000] lr: 3.750e-05, eta: 6:40:01, time: 0.198, data_time: 0.008, memory: 52540, decode.loss_ce: 0.1905, decode.acc_seg: 92.2347, loss: 0.1905 +2023-03-05 04:18:17,113 - mmseg - INFO - Iter [58100/160000] lr: 3.750e-05, eta: 6:39:49, time: 0.241, data_time: 0.056, memory: 52540, decode.loss_ce: 0.1966, decode.acc_seg: 91.7895, loss: 0.1966 +2023-03-05 04:18:27,191 - mmseg - INFO - Iter [58150/160000] lr: 3.750e-05, eta: 6:39:34, time: 0.202, data_time: 0.008, memory: 52540, decode.loss_ce: 0.2014, decode.acc_seg: 91.7782, loss: 0.2014 +2023-03-05 04:18:36,740 - mmseg - INFO - Iter [58200/160000] lr: 3.750e-05, eta: 6:39:19, time: 0.191, data_time: 0.008, memory: 52540, decode.loss_ce: 0.1857, decode.acc_seg: 92.3465, loss: 0.1857 +2023-03-05 04:18:46,538 - mmseg - INFO - Iter [58250/160000] lr: 3.750e-05, eta: 6:39:04, time: 0.196, data_time: 0.008, memory: 52540, decode.loss_ce: 0.1939, decode.acc_seg: 92.1735, loss: 0.1939 +2023-03-05 04:18:56,318 - mmseg - INFO - Iter [58300/160000] lr: 3.750e-05, eta: 6:38:48, time: 0.196, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1971, decode.acc_seg: 92.0373, loss: 0.1971 +2023-03-05 04:19:05,956 - mmseg - INFO - Iter [58350/160000] lr: 3.750e-05, eta: 6:38:33, time: 0.193, data_time: 0.008, memory: 52540, decode.loss_ce: 0.1899, decode.acc_seg: 92.1026, loss: 0.1899 +2023-03-05 04:19:15,666 - mmseg - INFO - Iter [58400/160000] lr: 3.750e-05, eta: 6:38:18, time: 0.194, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1962, decode.acc_seg: 91.9803, loss: 0.1962 +2023-03-05 04:19:25,309 - mmseg - INFO - Iter [58450/160000] lr: 3.750e-05, eta: 6:38:02, time: 0.193, data_time: 0.008, memory: 52540, decode.loss_ce: 0.1883, decode.acc_seg: 92.2856, loss: 0.1883 +2023-03-05 04:19:34,935 - mmseg - INFO - Iter [58500/160000] lr: 3.750e-05, eta: 6:37:47, time: 0.193, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1927, decode.acc_seg: 92.2127, loss: 0.1927 +2023-03-05 04:19:44,849 - mmseg - INFO - Iter [58550/160000] lr: 3.750e-05, eta: 6:37:32, time: 0.198, data_time: 0.008, memory: 52540, decode.loss_ce: 0.1918, decode.acc_seg: 92.1596, loss: 0.1918 +2023-03-05 04:19:54,389 - mmseg - INFO - Iter [58600/160000] lr: 3.750e-05, eta: 6:37:16, time: 0.191, data_time: 0.008, memory: 52540, decode.loss_ce: 0.1923, decode.acc_seg: 92.1903, loss: 0.1923 +2023-03-05 04:20:03,999 - mmseg - INFO - Iter [58650/160000] lr: 3.750e-05, eta: 6:37:01, time: 0.192, data_time: 0.008, memory: 52540, decode.loss_ce: 0.1891, decode.acc_seg: 92.2786, loss: 0.1891 +2023-03-05 04:20:16,170 - mmseg - INFO - Iter [58700/160000] lr: 3.750e-05, eta: 6:36:50, time: 0.243, data_time: 0.056, memory: 52540, decode.loss_ce: 0.2005, decode.acc_seg: 91.8592, loss: 0.2005 +2023-03-05 04:20:25,958 - mmseg - INFO - Iter [58750/160000] lr: 3.750e-05, eta: 6:36:34, time: 0.196, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1873, decode.acc_seg: 92.2230, loss: 0.1873 +2023-03-05 04:20:35,523 - mmseg - INFO - Iter [58800/160000] lr: 3.750e-05, eta: 6:36:19, time: 0.191, data_time: 0.008, memory: 52540, decode.loss_ce: 0.1910, decode.acc_seg: 92.2048, loss: 0.1910 +2023-03-05 04:20:45,467 - mmseg - INFO - Iter [58850/160000] lr: 3.750e-05, eta: 6:36:04, time: 0.199, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1965, decode.acc_seg: 91.9920, loss: 0.1965 +2023-03-05 04:20:55,377 - mmseg - INFO - Iter [58900/160000] lr: 3.750e-05, eta: 6:35:49, time: 0.198, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1880, decode.acc_seg: 92.3556, loss: 0.1880 +2023-03-05 04:21:05,415 - mmseg - INFO - Iter [58950/160000] lr: 3.750e-05, eta: 6:35:35, time: 0.201, data_time: 0.008, memory: 52540, decode.loss_ce: 0.1889, decode.acc_seg: 92.1217, loss: 0.1889 +2023-03-05 04:21:14,983 - mmseg - INFO - Exp name: ablation_segformer_mit_b2_segformer_head_unet_fc_small_multi_step_ade_pretrained_freeze_embed_160k_ade20k151_mask_finetune_maskreplace.py +2023-03-05 04:21:14,983 - mmseg - INFO - Iter [59000/160000] lr: 3.750e-05, eta: 6:35:19, time: 0.191, data_time: 0.008, memory: 52540, decode.loss_ce: 0.1878, decode.acc_seg: 92.0683, loss: 0.1878 +2023-03-05 04:21:24,529 - mmseg - INFO - Iter [59050/160000] lr: 3.750e-05, eta: 6:35:04, time: 0.191, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1913, decode.acc_seg: 92.2044, loss: 0.1913 +2023-03-05 04:21:34,264 - mmseg - INFO - Iter [59100/160000] lr: 3.750e-05, eta: 6:34:48, time: 0.195, data_time: 0.007, memory: 52540, decode.loss_ce: 0.2047, decode.acc_seg: 91.6700, loss: 0.2047 +2023-03-05 04:21:43,824 - mmseg - INFO - Iter [59150/160000] lr: 3.750e-05, eta: 6:34:33, time: 0.191, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1904, decode.acc_seg: 92.1904, loss: 0.1904 +2023-03-05 04:21:53,499 - mmseg - INFO - Iter [59200/160000] lr: 3.750e-05, eta: 6:34:18, time: 0.193, data_time: 0.008, memory: 52540, decode.loss_ce: 0.1897, decode.acc_seg: 92.2047, loss: 0.1897 +2023-03-05 04:22:03,383 - mmseg - INFO - Iter [59250/160000] lr: 3.750e-05, eta: 6:34:03, time: 0.197, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1847, decode.acc_seg: 92.3470, loss: 0.1847 +2023-03-05 04:22:13,116 - mmseg - INFO - Iter [59300/160000] lr: 3.750e-05, eta: 6:33:48, time: 0.195, data_time: 0.008, memory: 52540, decode.loss_ce: 0.1946, decode.acc_seg: 92.0300, loss: 0.1946 +2023-03-05 04:22:25,356 - mmseg - INFO - Iter [59350/160000] lr: 3.750e-05, eta: 6:33:37, time: 0.245, data_time: 0.056, memory: 52540, decode.loss_ce: 0.1964, decode.acc_seg: 91.8826, loss: 0.1964 +2023-03-05 04:22:34,936 - mmseg - INFO - Iter [59400/160000] lr: 3.750e-05, eta: 6:33:21, time: 0.192, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1882, decode.acc_seg: 92.1893, loss: 0.1882 +2023-03-05 04:22:44,901 - mmseg - INFO - Iter [59450/160000] lr: 3.750e-05, eta: 6:33:07, time: 0.199, data_time: 0.008, memory: 52540, decode.loss_ce: 0.2021, decode.acc_seg: 91.7479, loss: 0.2021 +2023-03-05 04:22:54,640 - mmseg - INFO - Iter [59500/160000] lr: 3.750e-05, eta: 6:32:52, time: 0.195, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1955, decode.acc_seg: 92.0650, loss: 0.1955 +2023-03-05 04:23:04,356 - mmseg - INFO - Iter [59550/160000] lr: 3.750e-05, eta: 6:32:37, time: 0.194, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1969, decode.acc_seg: 91.9922, loss: 0.1969 +2023-03-05 04:23:14,385 - mmseg - INFO - Iter [59600/160000] lr: 3.750e-05, eta: 6:32:22, time: 0.201, data_time: 0.007, memory: 52540, decode.loss_ce: 0.2015, decode.acc_seg: 91.9126, loss: 0.2015 +2023-03-05 04:23:23,966 - mmseg - INFO - Iter [59650/160000] lr: 3.750e-05, eta: 6:32:07, time: 0.192, data_time: 0.008, memory: 52540, decode.loss_ce: 0.1961, decode.acc_seg: 91.7887, loss: 0.1961 +2023-03-05 04:23:33,524 - mmseg - INFO - Iter [59700/160000] lr: 3.750e-05, eta: 6:31:51, time: 0.191, data_time: 0.008, memory: 52540, decode.loss_ce: 0.1877, decode.acc_seg: 92.3592, loss: 0.1877 +2023-03-05 04:23:43,091 - mmseg - INFO - Iter [59750/160000] lr: 3.750e-05, eta: 6:31:36, time: 0.191, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1894, decode.acc_seg: 92.1473, loss: 0.1894 +2023-03-05 04:23:52,811 - mmseg - INFO - Iter [59800/160000] lr: 3.750e-05, eta: 6:31:21, time: 0.194, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1911, decode.acc_seg: 92.2996, loss: 0.1911 +2023-03-05 04:24:02,541 - mmseg - INFO - Iter [59850/160000] lr: 3.750e-05, eta: 6:31:06, time: 0.194, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1896, decode.acc_seg: 92.2309, loss: 0.1896 +2023-03-05 04:24:12,305 - mmseg - INFO - Iter [59900/160000] lr: 3.750e-05, eta: 6:30:51, time: 0.196, data_time: 0.008, memory: 52540, decode.loss_ce: 0.1956, decode.acc_seg: 91.8463, loss: 0.1956 +2023-03-05 04:24:24,379 - mmseg - INFO - Iter [59950/160000] lr: 3.750e-05, eta: 6:30:40, time: 0.241, data_time: 0.057, memory: 52540, decode.loss_ce: 0.1939, decode.acc_seg: 92.0737, loss: 0.1939 +2023-03-05 04:24:34,192 - mmseg - INFO - Exp name: ablation_segformer_mit_b2_segformer_head_unet_fc_small_multi_step_ade_pretrained_freeze_embed_160k_ade20k151_mask_finetune_maskreplace.py +2023-03-05 04:24:34,192 - mmseg - INFO - Iter [60000/160000] lr: 3.750e-05, eta: 6:30:25, time: 0.196, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1936, decode.acc_seg: 91.9843, loss: 0.1936 +2023-03-05 04:24:43,979 - mmseg - INFO - Iter [60050/160000] lr: 1.875e-05, eta: 6:30:10, time: 0.196, data_time: 0.008, memory: 52540, decode.loss_ce: 0.1915, decode.acc_seg: 92.2016, loss: 0.1915 +2023-03-05 04:24:53,660 - mmseg - INFO - Iter [60100/160000] lr: 1.875e-05, eta: 6:29:55, time: 0.194, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1866, decode.acc_seg: 92.2905, loss: 0.1866 +2023-03-05 04:25:03,504 - mmseg - INFO - Iter [60150/160000] lr: 1.875e-05, eta: 6:29:40, time: 0.197, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1884, decode.acc_seg: 92.3830, loss: 0.1884 +2023-03-05 04:25:13,195 - mmseg - INFO - Iter [60200/160000] lr: 1.875e-05, eta: 6:29:25, time: 0.194, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1972, decode.acc_seg: 92.0360, loss: 0.1972 +2023-03-05 04:25:23,176 - mmseg - INFO - Iter [60250/160000] lr: 1.875e-05, eta: 6:29:10, time: 0.199, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1933, decode.acc_seg: 91.9630, loss: 0.1933 +2023-03-05 04:25:33,133 - mmseg - INFO - Iter [60300/160000] lr: 1.875e-05, eta: 6:28:56, time: 0.199, data_time: 0.008, memory: 52540, decode.loss_ce: 0.1851, decode.acc_seg: 92.4315, loss: 0.1851 +2023-03-05 04:25:42,996 - mmseg - INFO - Iter [60350/160000] lr: 1.875e-05, eta: 6:28:41, time: 0.197, data_time: 0.008, memory: 52540, decode.loss_ce: 0.1819, decode.acc_seg: 92.4714, loss: 0.1819 +2023-03-05 04:25:52,667 - mmseg - INFO - Iter [60400/160000] lr: 1.875e-05, eta: 6:28:26, time: 0.193, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1804, decode.acc_seg: 92.4337, loss: 0.1804 +2023-03-05 04:26:02,297 - mmseg - INFO - Iter [60450/160000] lr: 1.875e-05, eta: 6:28:11, time: 0.193, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1962, decode.acc_seg: 91.9994, loss: 0.1962 +2023-03-05 04:26:12,135 - mmseg - INFO - Iter [60500/160000] lr: 1.875e-05, eta: 6:27:56, time: 0.197, data_time: 0.008, memory: 52540, decode.loss_ce: 0.1886, decode.acc_seg: 92.1200, loss: 0.1886 +2023-03-05 04:26:21,975 - mmseg - INFO - Iter [60550/160000] lr: 1.875e-05, eta: 6:27:41, time: 0.197, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1939, decode.acc_seg: 91.8887, loss: 0.1939 +2023-03-05 04:26:34,318 - mmseg - INFO - Iter [60600/160000] lr: 1.875e-05, eta: 6:27:31, time: 0.247, data_time: 0.056, memory: 52540, decode.loss_ce: 0.1855, decode.acc_seg: 92.3336, loss: 0.1855 +2023-03-05 04:26:44,133 - mmseg - INFO - Iter [60650/160000] lr: 1.875e-05, eta: 6:27:16, time: 0.196, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1897, decode.acc_seg: 92.2046, loss: 0.1897 +2023-03-05 04:26:53,813 - mmseg - INFO - Iter [60700/160000] lr: 1.875e-05, eta: 6:27:01, time: 0.194, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1930, decode.acc_seg: 92.0413, loss: 0.1930 +2023-03-05 04:27:03,449 - mmseg - INFO - Iter [60750/160000] lr: 1.875e-05, eta: 6:26:46, time: 0.193, data_time: 0.008, memory: 52540, decode.loss_ce: 0.1828, decode.acc_seg: 92.5333, loss: 0.1828 +2023-03-05 04:27:13,084 - mmseg - INFO - Iter [60800/160000] lr: 1.875e-05, eta: 6:26:31, time: 0.193, data_time: 0.008, memory: 52540, decode.loss_ce: 0.1896, decode.acc_seg: 92.2409, loss: 0.1896 +2023-03-05 04:27:22,854 - mmseg - INFO - Iter [60850/160000] lr: 1.875e-05, eta: 6:26:16, time: 0.195, data_time: 0.008, memory: 52540, decode.loss_ce: 0.1862, decode.acc_seg: 92.2950, loss: 0.1862 +2023-03-05 04:27:32,493 - mmseg - INFO - Iter [60900/160000] lr: 1.875e-05, eta: 6:26:01, time: 0.193, data_time: 0.008, memory: 52540, decode.loss_ce: 0.1929, decode.acc_seg: 92.2087, loss: 0.1929 +2023-03-05 04:27:42,581 - mmseg - INFO - Iter [60950/160000] lr: 1.875e-05, eta: 6:25:47, time: 0.202, data_time: 0.008, memory: 52540, decode.loss_ce: 0.1949, decode.acc_seg: 92.0268, loss: 0.1949 +2023-03-05 04:27:52,094 - mmseg - INFO - Exp name: ablation_segformer_mit_b2_segformer_head_unet_fc_small_multi_step_ade_pretrained_freeze_embed_160k_ade20k151_mask_finetune_maskreplace.py +2023-03-05 04:27:52,094 - mmseg - INFO - Iter [61000/160000] lr: 1.875e-05, eta: 6:25:32, time: 0.190, data_time: 0.008, memory: 52540, decode.loss_ce: 0.1869, decode.acc_seg: 92.2861, loss: 0.1869 +2023-03-05 04:28:01,776 - mmseg - INFO - Iter [61050/160000] lr: 1.875e-05, eta: 6:25:17, time: 0.193, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1975, decode.acc_seg: 91.8223, loss: 0.1975 +2023-03-05 04:28:11,505 - mmseg - INFO - Iter [61100/160000] lr: 1.875e-05, eta: 6:25:02, time: 0.195, data_time: 0.008, memory: 52540, decode.loss_ce: 0.1913, decode.acc_seg: 91.9602, loss: 0.1913 +2023-03-05 04:28:21,028 - mmseg - INFO - Iter [61150/160000] lr: 1.875e-05, eta: 6:24:47, time: 0.190, data_time: 0.008, memory: 52540, decode.loss_ce: 0.1873, decode.acc_seg: 92.2313, loss: 0.1873 +2023-03-05 04:28:30,697 - mmseg - INFO - Iter [61200/160000] lr: 1.875e-05, eta: 6:24:32, time: 0.193, data_time: 0.008, memory: 52540, decode.loss_ce: 0.1884, decode.acc_seg: 92.2920, loss: 0.1884 +2023-03-05 04:28:42,982 - mmseg - INFO - Iter [61250/160000] lr: 1.875e-05, eta: 6:24:21, time: 0.246, data_time: 0.056, memory: 52540, decode.loss_ce: 0.1876, decode.acc_seg: 92.3996, loss: 0.1876 +2023-03-05 04:28:52,587 - mmseg - INFO - Iter [61300/160000] lr: 1.875e-05, eta: 6:24:06, time: 0.192, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1985, decode.acc_seg: 91.8243, loss: 0.1985 +2023-03-05 04:29:02,319 - mmseg - INFO - Iter [61350/160000] lr: 1.875e-05, eta: 6:23:51, time: 0.195, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1886, decode.acc_seg: 92.1059, loss: 0.1886 +2023-03-05 04:29:11,856 - mmseg - INFO - Iter [61400/160000] lr: 1.875e-05, eta: 6:23:36, time: 0.191, data_time: 0.008, memory: 52540, decode.loss_ce: 0.1850, decode.acc_seg: 92.4244, loss: 0.1850 +2023-03-05 04:29:21,545 - mmseg - INFO - Iter [61450/160000] lr: 1.875e-05, eta: 6:23:21, time: 0.194, data_time: 0.008, memory: 52540, decode.loss_ce: 0.1956, decode.acc_seg: 92.0981, loss: 0.1956 +2023-03-05 04:29:31,198 - mmseg - INFO - Iter [61500/160000] lr: 1.875e-05, eta: 6:23:06, time: 0.193, data_time: 0.008, memory: 52540, decode.loss_ce: 0.1873, decode.acc_seg: 92.4365, loss: 0.1873 +2023-03-05 04:29:40,825 - mmseg - INFO - Iter [61550/160000] lr: 1.875e-05, eta: 6:22:51, time: 0.193, data_time: 0.008, memory: 52540, decode.loss_ce: 0.1923, decode.acc_seg: 91.9803, loss: 0.1923 +2023-03-05 04:29:50,767 - mmseg - INFO - Iter [61600/160000] lr: 1.875e-05, eta: 6:22:37, time: 0.199, data_time: 0.008, memory: 52540, decode.loss_ce: 0.1870, decode.acc_seg: 92.3091, loss: 0.1870 +2023-03-05 04:30:00,323 - mmseg - INFO - Iter [61650/160000] lr: 1.875e-05, eta: 6:22:22, time: 0.191, data_time: 0.008, memory: 52540, decode.loss_ce: 0.1867, decode.acc_seg: 92.3698, loss: 0.1867 +2023-03-05 04:30:09,966 - mmseg - INFO - Iter [61700/160000] lr: 1.875e-05, eta: 6:22:07, time: 0.193, data_time: 0.008, memory: 52540, decode.loss_ce: 0.1816, decode.acc_seg: 92.4513, loss: 0.1816 +2023-03-05 04:30:19,704 - mmseg - INFO - Iter [61750/160000] lr: 1.875e-05, eta: 6:21:52, time: 0.195, data_time: 0.008, memory: 52540, decode.loss_ce: 0.1923, decode.acc_seg: 92.1036, loss: 0.1923 +2023-03-05 04:30:29,395 - mmseg - INFO - Iter [61800/160000] lr: 1.875e-05, eta: 6:21:38, time: 0.194, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1855, decode.acc_seg: 92.3184, loss: 0.1855 +2023-03-05 04:30:41,717 - mmseg - INFO - Iter [61850/160000] lr: 1.875e-05, eta: 6:21:27, time: 0.246, data_time: 0.055, memory: 52540, decode.loss_ce: 0.1929, decode.acc_seg: 92.1221, loss: 0.1929 +2023-03-05 04:30:51,712 - mmseg - INFO - Iter [61900/160000] lr: 1.875e-05, eta: 6:21:13, time: 0.200, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1918, decode.acc_seg: 92.1740, loss: 0.1918 +2023-03-05 04:31:01,426 - mmseg - INFO - Iter [61950/160000] lr: 1.875e-05, eta: 6:20:58, time: 0.194, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1961, decode.acc_seg: 91.9721, loss: 0.1961 +2023-03-05 04:31:10,933 - mmseg - INFO - Exp name: ablation_segformer_mit_b2_segformer_head_unet_fc_small_multi_step_ade_pretrained_freeze_embed_160k_ade20k151_mask_finetune_maskreplace.py +2023-03-05 04:31:10,934 - mmseg - INFO - Iter [62000/160000] lr: 1.875e-05, eta: 6:20:43, time: 0.190, data_time: 0.008, memory: 52540, decode.loss_ce: 0.1916, decode.acc_seg: 92.1245, loss: 0.1916 +2023-03-05 04:31:20,894 - mmseg - INFO - Iter [62050/160000] lr: 1.875e-05, eta: 6:20:29, time: 0.199, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1894, decode.acc_seg: 92.0875, loss: 0.1894 +2023-03-05 04:31:30,446 - mmseg - INFO - Iter [62100/160000] lr: 1.875e-05, eta: 6:20:14, time: 0.191, data_time: 0.008, memory: 52540, decode.loss_ce: 0.1933, decode.acc_seg: 91.9397, loss: 0.1933 +2023-03-05 04:31:40,492 - mmseg - INFO - Iter [62150/160000] lr: 1.875e-05, eta: 6:19:59, time: 0.201, data_time: 0.008, memory: 52540, decode.loss_ce: 0.1818, decode.acc_seg: 92.4600, loss: 0.1818 +2023-03-05 04:31:49,994 - mmseg - INFO - Iter [62200/160000] lr: 1.875e-05, eta: 6:19:44, time: 0.190, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1885, decode.acc_seg: 92.3862, loss: 0.1885 +2023-03-05 04:31:59,857 - mmseg - INFO - Iter [62250/160000] lr: 1.875e-05, eta: 6:19:30, time: 0.197, data_time: 0.008, memory: 52540, decode.loss_ce: 0.1886, decode.acc_seg: 92.2566, loss: 0.1886 +2023-03-05 04:32:09,599 - mmseg - INFO - Iter [62300/160000] lr: 1.875e-05, eta: 6:19:15, time: 0.195, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1856, decode.acc_seg: 92.2511, loss: 0.1856 +2023-03-05 04:32:19,387 - mmseg - INFO - Iter [62350/160000] lr: 1.875e-05, eta: 6:19:01, time: 0.196, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1952, decode.acc_seg: 92.1233, loss: 0.1952 +2023-03-05 04:32:29,190 - mmseg - INFO - Iter [62400/160000] lr: 1.875e-05, eta: 6:18:46, time: 0.196, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1965, decode.acc_seg: 92.0991, loss: 0.1965 +2023-03-05 04:32:38,853 - mmseg - INFO - Iter [62450/160000] lr: 1.875e-05, eta: 6:18:31, time: 0.193, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1877, decode.acc_seg: 92.3370, loss: 0.1877 +2023-03-05 04:32:51,126 - mmseg - INFO - Iter [62500/160000] lr: 1.875e-05, eta: 6:18:21, time: 0.245, data_time: 0.056, memory: 52540, decode.loss_ce: 0.1866, decode.acc_seg: 92.3620, loss: 0.1866 +2023-03-05 04:33:01,230 - mmseg - INFO - Iter [62550/160000] lr: 1.875e-05, eta: 6:18:07, time: 0.202, data_time: 0.008, memory: 52540, decode.loss_ce: 0.1856, decode.acc_seg: 92.4971, loss: 0.1856 +2023-03-05 04:33:11,015 - mmseg - INFO - Iter [62600/160000] lr: 1.875e-05, eta: 6:17:52, time: 0.196, data_time: 0.008, memory: 52540, decode.loss_ce: 0.1910, decode.acc_seg: 92.2629, loss: 0.1910 +2023-03-05 04:33:21,373 - mmseg - INFO - Iter [62650/160000] lr: 1.875e-05, eta: 6:17:39, time: 0.207, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1860, decode.acc_seg: 92.3883, loss: 0.1860 +2023-03-05 04:33:30,913 - mmseg - INFO - Iter [62700/160000] lr: 1.875e-05, eta: 6:17:24, time: 0.191, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1880, decode.acc_seg: 92.1598, loss: 0.1880 +2023-03-05 04:33:40,448 - mmseg - INFO - Iter [62750/160000] lr: 1.875e-05, eta: 6:17:09, time: 0.191, data_time: 0.008, memory: 52540, decode.loss_ce: 0.1866, decode.acc_seg: 92.1994, loss: 0.1866 +2023-03-05 04:33:50,099 - mmseg - INFO - Iter [62800/160000] lr: 1.875e-05, eta: 6:16:54, time: 0.193, data_time: 0.008, memory: 52540, decode.loss_ce: 0.1964, decode.acc_seg: 92.0717, loss: 0.1964 +2023-03-05 04:33:59,658 - mmseg - INFO - Iter [62850/160000] lr: 1.875e-05, eta: 6:16:39, time: 0.191, data_time: 0.008, memory: 52540, decode.loss_ce: 0.1988, decode.acc_seg: 91.9150, loss: 0.1988 +2023-03-05 04:34:09,364 - mmseg - INFO - Iter [62900/160000] lr: 1.875e-05, eta: 6:16:25, time: 0.194, data_time: 0.008, memory: 52540, decode.loss_ce: 0.1986, decode.acc_seg: 91.9227, loss: 0.1986 +2023-03-05 04:34:18,884 - mmseg - INFO - Iter [62950/160000] lr: 1.875e-05, eta: 6:16:10, time: 0.190, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1829, decode.acc_seg: 92.4714, loss: 0.1829 +2023-03-05 04:34:28,613 - mmseg - INFO - Exp name: ablation_segformer_mit_b2_segformer_head_unet_fc_small_multi_step_ade_pretrained_freeze_embed_160k_ade20k151_mask_finetune_maskreplace.py +2023-03-05 04:34:28,613 - mmseg - INFO - Iter [63000/160000] lr: 1.875e-05, eta: 6:15:55, time: 0.195, data_time: 0.008, memory: 52540, decode.loss_ce: 0.1874, decode.acc_seg: 92.3659, loss: 0.1874 +2023-03-05 04:34:38,290 - mmseg - INFO - Iter [63050/160000] lr: 1.875e-05, eta: 6:15:41, time: 0.194, data_time: 0.008, memory: 52540, decode.loss_ce: 0.1936, decode.acc_seg: 92.1536, loss: 0.1936 +2023-03-05 04:34:48,041 - mmseg - INFO - Iter [63100/160000] lr: 1.875e-05, eta: 6:15:26, time: 0.195, data_time: 0.008, memory: 52540, decode.loss_ce: 0.1940, decode.acc_seg: 92.0379, loss: 0.1940 +2023-03-05 04:35:00,253 - mmseg - INFO - Iter [63150/160000] lr: 1.875e-05, eta: 6:15:15, time: 0.244, data_time: 0.057, memory: 52540, decode.loss_ce: 0.1860, decode.acc_seg: 92.4129, loss: 0.1860 +2023-03-05 04:35:10,039 - mmseg - INFO - Iter [63200/160000] lr: 1.875e-05, eta: 6:15:01, time: 0.196, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1886, decode.acc_seg: 92.3019, loss: 0.1886 +2023-03-05 04:35:19,820 - mmseg - INFO - Iter [63250/160000] lr: 1.875e-05, eta: 6:14:46, time: 0.196, data_time: 0.008, memory: 52540, decode.loss_ce: 0.1918, decode.acc_seg: 92.1834, loss: 0.1918 +2023-03-05 04:35:29,594 - mmseg - INFO - Iter [63300/160000] lr: 1.875e-05, eta: 6:14:32, time: 0.195, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1799, decode.acc_seg: 92.7500, loss: 0.1799 +2023-03-05 04:35:39,526 - mmseg - INFO - Iter [63350/160000] lr: 1.875e-05, eta: 6:14:18, time: 0.199, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1902, decode.acc_seg: 92.2132, loss: 0.1902 +2023-03-05 04:35:49,070 - mmseg - INFO - Iter [63400/160000] lr: 1.875e-05, eta: 6:14:03, time: 0.191, data_time: 0.008, memory: 52540, decode.loss_ce: 0.1898, decode.acc_seg: 92.1902, loss: 0.1898 +2023-03-05 04:35:58,758 - mmseg - INFO - Iter [63450/160000] lr: 1.875e-05, eta: 6:13:49, time: 0.194, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1900, decode.acc_seg: 92.2759, loss: 0.1900 +2023-03-05 04:36:08,475 - mmseg - INFO - Iter [63500/160000] lr: 1.875e-05, eta: 6:13:34, time: 0.194, data_time: 0.008, memory: 52540, decode.loss_ce: 0.1899, decode.acc_seg: 92.2102, loss: 0.1899 +2023-03-05 04:36:18,382 - mmseg - INFO - Iter [63550/160000] lr: 1.875e-05, eta: 6:13:20, time: 0.198, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1872, decode.acc_seg: 92.3103, loss: 0.1872 +2023-03-05 04:36:28,003 - mmseg - INFO - Iter [63600/160000] lr: 1.875e-05, eta: 6:13:05, time: 0.192, data_time: 0.008, memory: 52540, decode.loss_ce: 0.1800, decode.acc_seg: 92.4703, loss: 0.1800 +2023-03-05 04:36:37,880 - mmseg - INFO - Iter [63650/160000] lr: 1.875e-05, eta: 6:12:51, time: 0.198, data_time: 0.008, memory: 52540, decode.loss_ce: 0.1909, decode.acc_seg: 92.1042, loss: 0.1909 +2023-03-05 04:36:47,659 - mmseg - INFO - Iter [63700/160000] lr: 1.875e-05, eta: 6:12:37, time: 0.196, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1881, decode.acc_seg: 92.3017, loss: 0.1881 +2023-03-05 04:36:59,667 - mmseg - INFO - Iter [63750/160000] lr: 1.875e-05, eta: 6:12:26, time: 0.240, data_time: 0.055, memory: 52540, decode.loss_ce: 0.1891, decode.acc_seg: 92.2979, loss: 0.1891 +2023-03-05 04:37:09,235 - mmseg - INFO - Iter [63800/160000] lr: 1.875e-05, eta: 6:12:11, time: 0.191, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1904, decode.acc_seg: 92.1966, loss: 0.1904 +2023-03-05 04:37:18,739 - mmseg - INFO - Iter [63850/160000] lr: 1.875e-05, eta: 6:11:56, time: 0.190, data_time: 0.008, memory: 52540, decode.loss_ce: 0.1985, decode.acc_seg: 91.9000, loss: 0.1985 +2023-03-05 04:37:28,389 - mmseg - INFO - Iter [63900/160000] lr: 1.875e-05, eta: 6:11:42, time: 0.193, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1918, decode.acc_seg: 92.0824, loss: 0.1918 +2023-03-05 04:37:37,989 - mmseg - INFO - Iter [63950/160000] lr: 1.875e-05, eta: 6:11:27, time: 0.192, data_time: 0.008, memory: 52540, decode.loss_ce: 0.1915, decode.acc_seg: 92.2397, loss: 0.1915 +2023-03-05 04:37:47,542 - mmseg - INFO - Swap parameters (after train) after iter [64000] +2023-03-05 04:37:47,555 - mmseg - INFO - Saving checkpoint at 64000 iterations +2023-03-05 04:37:48,598 - mmseg - INFO - Exp name: ablation_segformer_mit_b2_segformer_head_unet_fc_small_multi_step_ade_pretrained_freeze_embed_160k_ade20k151_mask_finetune_maskreplace.py +2023-03-05 04:37:48,598 - mmseg - INFO - Iter [64000/160000] lr: 1.875e-05, eta: 6:11:14, time: 0.212, data_time: 0.008, memory: 52540, decode.loss_ce: 0.1878, decode.acc_seg: 92.3933, loss: 0.1878 +2023-03-05 04:48:52,983 - mmseg - INFO - per class results: +2023-03-05 04:48:52,992 - mmseg - INFO - ++---------------------+-------------------------------------------------------------------+ +| Class | IoU 0,10,20,30,40,50,60,70,80,90,99 | ++---------------------+-------------------------------------------------------------------+ +| background | nan,nan,nan,nan,nan,nan,nan,nan,nan,nan,nan | +| wall | 77.46,77.47,77.5,77.52,77.53,77.55,77.56,77.57,77.57,77.59,77.62 | +| building | 81.65,81.65,81.66,81.67,81.67,81.67,81.67,81.67,81.68,81.67,81.68 | +| sky | 94.44,94.45,94.45,94.45,94.45,94.45,94.46,94.46,94.46,94.46,94.46 | +| floor | 81.54,81.54,81.56,81.59,81.61,81.62,81.64,81.64,81.65,81.66,81.68 | +| tree | 74.03,74.05,74.08,74.07,74.1,74.11,74.12,74.14,74.14,74.13,74.12 | +| ceiling | 85.2,85.25,85.26,85.31,85.33,85.33,85.35,85.36,85.37,85.37,85.4 | +| road | 81.88,81.84,81.79,81.78,81.75,81.75,81.72,81.72,81.72,81.72,81.78 | +| bed | 87.61,87.65,87.67,87.74,87.76,87.77,87.82,87.83,87.86,87.86,87.89 | +| windowpane | 60.47,60.48,60.55,60.56,60.61,60.61,60.58,60.58,60.6,60.59,60.57 | +| grass | 67.12,67.14,67.16,67.22,67.19,67.24,67.3,67.31,67.31,67.33,67.31 | +| cabinet | 60.43,60.51,60.52,60.68,60.77,60.81,60.89,60.93,61.05,61.11,61.23 | +| sidewalk | 64.29,64.33,64.37,64.37,64.33,64.35,64.29,64.3,64.34,64.34,64.43 | +| person | 79.58,79.6,79.63,79.64,79.65,79.68,79.7,79.74,79.74,79.77,79.81 | +| earth | 35.66,35.6,35.54,35.54,35.55,35.61,35.62,35.69,35.7,35.73,35.72 | +| door | 46.31,46.3,46.26,46.35,46.34,46.41,46.37,46.34,46.32,46.33,46.41 | +| table | 60.92,60.94,60.99,60.97,60.99,61.0,60.97,60.96,61.02,60.99,60.99 | +| mountain | 57.15,57.22,57.42,57.41,57.5,57.54,57.53,57.56,57.55,57.52,57.41 | +| plant | 49.94,49.93,49.84,49.85,49.81,49.82,49.82,49.88,49.92,49.91,49.92 | +| curtain | 73.7,73.71,73.88,73.93,74.08,74.07,74.11,74.12,74.2,74.36,74.41 | +| chair | 56.46,56.47,56.5,56.51,56.55,56.56,56.57,56.58,56.57,56.56,56.57 | +| car | 81.71,81.77,81.79,81.79,81.84,81.9,81.92,81.92,81.93,81.94,81.93 | +| water | 57.75,57.73,57.72,57.75,57.77,57.77,57.75,57.73,57.69,57.69,57.64 | +| painting | 70.25,70.22,70.18,70.13,70.15,70.09,70.06,70.06,69.98,70.01,69.99 | +| sofa | 64.36,64.44,64.47,64.48,64.5,64.52,64.52,64.49,64.5,64.45,64.46 | +| shelf | 43.9,43.9,43.9,43.92,43.92,43.89,43.81,43.87,43.86,43.9,43.91 | +| house | 42.7,42.66,42.73,42.69,42.69,42.65,42.72,42.77,42.84,42.8,42.79 | +| sea | 60.54,60.52,60.5,60.45,60.41,60.39,60.33,60.28,60.22,60.2,60.2 | +| mirror | 65.83,65.76,65.68,65.66,65.76,65.68,65.7,65.68,65.76,65.76,65.77 | +| rug | 64.68,64.7,64.7,64.71,64.75,64.72,64.79,64.68,64.68,64.69,64.73 | +| field | 30.3,30.29,30.23,30.29,30.26,30.29,30.38,30.39,30.42,30.42,30.41 | +| armchair | 37.78,37.85,37.83,37.89,37.97,37.97,38.03,38.01,38.09,38.09,38.18 | +| seat | 65.97,66.06,66.19,66.23,66.29,66.3,66.37,66.38,66.41,66.44,66.46 | +| fence | 41.3,41.3,41.34,41.35,41.34,41.37,41.44,41.45,41.41,41.41,41.51 | +| desk | 46.89,46.94,46.95,47.07,47.07,47.03,47.16,47.15,47.21,47.17,47.17 | +| rock | 36.85,36.83,36.88,36.89,36.9,36.89,36.92,36.92,36.96,36.93,36.94 | +| wardrobe | 57.24,57.26,57.25,57.37,57.34,57.36,57.36,57.33,57.43,57.51,57.67 | +| lamp | 62.13,62.16,62.18,62.14,62.06,62.19,62.11,62.06,62.14,62.11,62.0 | +| bathtub | 77.11,77.17,77.19,77.19,77.26,77.4,77.41,77.46,77.59,77.58,77.52 | +| railing | 33.92,33.94,33.89,33.86,33.88,33.87,33.81,33.79,33.74,33.74,33.79 | +| cushion | 57.17,57.16,57.17,57.03,57.09,57.16,57.13,57.11,57.04,56.99,56.84 | +| base | 19.84,19.88,20.0,20.13,20.18,20.18,20.26,20.25,20.37,20.4,20.85 | +| box | 23.45,23.48,23.54,23.54,23.59,23.61,23.62,23.65,23.69,23.75,23.71 | +| column | 45.98,46.05,46.16,46.2,46.27,46.56,46.54,46.64,46.64,46.59,46.75 | +| signboard | 37.73,37.72,37.71,37.78,37.71,37.74,37.81,37.74,37.71,37.76,37.71 | +| chest of drawers | 36.58,36.84,36.97,37.11,37.06,37.1,37.04,37.06,37.05,37.14,37.25 | +| counter | 31.32,31.28,31.3,31.24,31.19,31.18,31.09,31.11,31.03,31.0,30.91 | +| sand | 42.95,42.98,43.0,43.13,43.08,43.12,43.32,43.38,43.37,43.45,43.45 | +| sink | 68.02,67.99,67.97,67.92,67.98,67.97,68.02,67.88,67.86,67.83,67.84 | +| skyscraper | 50.45,50.15,50.0,49.86,49.71,49.56,49.48,49.37,49.17,49.04,49.1 | +| fireplace | 74.73,74.87,74.81,75.28,75.34,75.33,75.25,75.09,75.11,75.03,75.2 | +| refrigerator | 75.06,75.22,75.39,75.47,75.55,75.43,75.71,75.67,75.77,75.85,76.3 | +| grandstand | 53.74,53.87,53.87,54.15,54.14,54.29,54.42,54.51,54.59,54.72,54.92 | +| path | 22.23,22.31,22.42,22.47,22.47,22.52,22.52,22.56,22.6,22.6,22.63 | +| stairs | 33.02,32.92,32.76,32.6,32.52,32.46,32.43,32.29,32.25,32.25,32.22 | +| runway | 67.52,67.56,67.59,67.68,67.67,67.74,67.74,67.75,67.8,67.79,67.8 | +| case | 47.16,47.39,47.62,47.72,48.0,48.05,48.1,48.14,48.24,48.18,48.07 | +| pool table | 91.28,91.29,91.32,91.38,91.39,91.37,91.46,91.43,91.44,91.46,91.45 | +| pillow | 61.86,62.03,62.24,62.18,62.22,62.37,62.36,62.49,62.49,62.41,62.34 | +| screen door | 68.48,68.48,68.63,68.39,68.52,68.33,68.21,68.2,68.24,68.19,68.08 | +| stairway | 23.85,23.8,23.79,23.76,23.77,23.78,23.67,23.73,23.62,23.68,23.6 | +| river | 12.27,12.26,12.25,12.23,12.22,12.21,12.22,12.22,12.23,12.22,12.24 | +| bridge | 31.72,31.75,31.82,31.92,31.89,31.9,32.05,31.99,31.97,31.94,32.03 | +| bookcase | 46.66,46.74,46.74,46.8,46.92,46.95,46.9,46.94,46.81,46.71,46.94 | +| blind | 40.98,40.98,41.55,41.45,41.62,41.54,41.29,41.4,41.63,41.66,41.76 | +| coffee table | 52.6,52.54,52.49,52.49,52.51,52.43,52.45,52.46,52.48,52.41,52.42 | +| toilet | 83.61,83.57,83.53,83.49,83.46,83.42,83.42,83.41,83.41,83.41,83.42 | +| flower | 38.65,38.66,38.66,38.7,38.7,38.66,38.68,38.66,38.74,38.75,38.73 | +| book | 45.46,45.48,45.49,45.51,45.4,45.3,45.23,45.21,45.16,45.07,45.1 | +| hill | 16.2,16.33,16.38,16.46,16.59,16.66,16.61,16.69,16.68,16.7,16.93 | +| bench | 43.64,43.58,43.47,43.35,43.28,43.24,43.11,43.01,42.81,42.82,42.92 | +| countertop | 54.6,54.66,54.7,54.57,54.47,54.59,54.6,54.59,54.66,54.64,54.52 | +| stove | 70.73,70.71,70.58,70.55,70.59,70.58,70.54,70.42,70.36,70.35,70.48 | +| palm | 47.44,47.41,47.53,47.6,47.58,47.55,47.65,47.69,47.75,47.75,47.82 | +| kitchen island | 44.07,44.36,44.42,44.85,44.97,45.13,45.36,45.51,45.71,45.76,45.9 | +| computer | 59.8,59.76,59.71,59.71,59.69,59.68,59.67,59.64,59.66,59.59,59.61 | +| swivel chair | 44.14,44.12,44.28,44.27,44.31,44.41,44.42,44.56,44.53,44.61,44.56 | +| boat | 70.55,70.74,70.84,70.96,71.16,71.19,71.24,71.33,71.37,71.45,71.56 | +| bar | 23.65,23.75,23.78,23.84,23.86,23.87,23.94,23.96,23.96,23.98,24.04 | +| arcade machine | 70.37,70.7,71.02,71.36,71.79,72.03,71.65,72.17,72.29,72.81,72.64 | +| hovel | 29.26,28.88,28.71,28.62,28.33,27.96,27.67,27.58,27.38,26.97,26.37 | +| bus | 76.97,77.08,77.18,77.11,77.22,77.32,77.27,77.32,77.28,77.46,77.68 | +| towel | 64.07,64.13,64.15,64.22,64.21,64.31,64.28,64.29,64.17,64.09,64.27 | +| light | 55.54,55.56,55.65,55.68,55.75,55.75,55.7,55.86,55.83,55.84,55.84 | +| truck | 17.43,17.38,17.4,17.32,17.21,17.33,17.12,17.1,16.99,16.94,16.98 | +| tower | 6.4,6.32,6.39,6.43,6.38,6.54,6.55,6.79,6.78,6.89,7.58 | +| chandelier | 65.32,65.4,65.5,65.54,65.63,65.88,65.85,65.92,65.89,65.89,66.01 | +| awning | 23.75,23.9,23.81,24.03,24.04,24.16,24.48,24.31,24.31,24.44,24.61 | +| streetlight | 26.96,27.05,26.99,27.1,27.16,27.15,27.25,27.27,27.31,27.33,27.53 | +| booth | 43.65,43.87,44.5,44.74,44.6,45.25,44.75,44.85,45.7,45.63,46.32 | +| television receiver | 64.55,64.56,64.6,64.72,64.7,64.62,64.55,64.56,64.5,64.55,64.44 | +| airplane | 58.81,58.81,58.83,58.81,58.83,58.82,58.82,58.91,58.89,58.89,58.85 | +| dirt track | 20.62,20.56,20.62,20.68,20.88,20.65,20.53,20.31,20.28,20.12,20.31 | +| apparel | 35.31,35.4,35.57,35.51,35.57,35.66,35.8,35.77,35.91,35.93,36.31 | +| pole | 17.51,17.58,17.68,17.8,17.98,17.89,17.86,18.07,18.23,18.1,18.13 | +| land | 4.37,4.32,4.33,4.29,4.29,4.23,4.21,4.25,4.2,4.2,4.28 | +| bannister | 12.9,13.07,13.1,13.33,13.17,13.12,13.11,13.05,12.97,12.98,13.06 | +| escalator | 25.37,25.31,25.27,25.28,25.22,25.27,25.21,25.22,25.2,25.18,25.22 | +| ottoman | 43.7,43.89,43.88,44.05,44.07,44.25,44.29,44.43,44.42,44.4,44.61 | +| bottle | 35.96,36.01,36.03,35.98,35.98,36.07,36.09,36.12,36.09,36.12,36.15 | +| buffet | 38.64,38.99,39.37,39.66,39.95,40.24,40.35,40.66,40.6,40.78,40.85 | +| poster | 24.11,24.16,24.15,24.14,24.23,24.05,24.13,24.21,24.16,24.16,24.18 | +| stage | 14.35,14.35,14.35,14.36,14.36,14.43,14.38,14.42,14.33,14.41,14.46 | +| van | 38.6,38.6,38.6,38.61,38.64,38.73,38.62,38.68,38.72,38.85,38.93 | +| ship | 80.04,80.35,80.37,80.75,81.01,81.19,81.4,81.41,81.34,81.52,81.59 | +| fountain | 16.76,17.2,18.03,19.04,20.63,21.43,21.79,22.22,22.34,22.55,22.68 | +| conveyer belt | 85.77,85.9,85.87,85.66,85.84,85.66,85.52,85.75,85.73,85.74,85.42 | +| canopy | 23.99,24.16,24.27,24.23,24.31,24.29,24.26,24.25,24.11,23.97,24.19 | +| washer | 75.51,75.58,75.82,75.84,75.99,76.01,76.19,76.35,76.63,76.81,77.45 | +| plaything | 21.69,21.8,21.83,22.01,22.03,22.08,22.13,22.19,22.09,22.07,22.04 | +| swimming pool | 73.66,73.89,74.07,74.07,74.3,74.34,74.61,74.64,74.9,74.75,74.82 | +| stool | 44.77,44.71,44.68,44.87,44.74,44.81,44.8,44.81,44.8,44.86,44.82 | +| barrel | 50.06,51.16,51.09,52.23,52.54,53.84,55.36,55.63,56.55,56.69,56.54 | +| basket | 24.13,24.14,24.21,24.2,24.29,24.28,24.3,24.35,24.31,24.41,24.42 | +| waterfall | 49.97,49.96,49.83,49.82,49.82,49.84,49.76,49.71,49.79,49.79,49.68 | +| tent | 95.12,95.17,95.24,95.28,95.21,95.34,95.37,95.32,95.36,95.33,95.33 | +| bag | 14.96,14.92,14.92,14.96,15.02,15.2,15.08,15.21,15.32,15.22,15.18 | +| minibike | 64.01,64.0,64.14,64.04,64.13,64.11,63.96,64.1,64.15,63.98,63.81 | +| cradle | 84.64,84.75,84.94,84.98,85.13,85.18,85.22,85.32,85.41,85.46,85.48 | +| oven | 46.16,46.22,46.24,46.1,46.22,46.49,46.51,46.52,46.5,46.63,46.9 | +| ball | 44.48,44.65,45.2,45.16,45.66,45.8,46.05,46.75,46.83,47.01,47.24 | +| food | 53.3,53.27,53.26,53.28,53.19,53.24,53.08,53.18,53.2,53.09,53.03 | +| step | 4.78,4.7,4.86,4.75,4.77,4.77,4.54,4.83,4.77,4.58,4.65 | +| tank | 50.99,51.16,50.98,51.29,51.52,51.45,51.6,51.74,51.65,51.84,52.8 | +| trade name | 28.79,28.81,28.74,28.74,28.59,28.35,28.44,28.3,28.48,28.57,28.52 | +| microwave | 70.85,71.04,71.09,71.13,71.23,71.17,71.3,71.31,71.42,71.41,71.47 | +| pot | 30.05,30.15,30.19,30.16,30.29,30.37,30.43,30.46,30.49,30.45,30.52 | +| animal | 54.47,54.57,54.6,54.68,54.65,54.72,54.76,54.89,54.83,54.89,54.99 | +| bicycle | 54.09,54.3,54.25,54.39,54.4,54.48,54.52,54.5,54.56,54.63,54.66 | +| lake | 57.68,57.71,57.76,57.75,57.79,57.78,57.74,57.77,57.75,57.79,57.88 | +| dishwasher | 66.55,66.72,66.64,67.39,67.22,67.23,67.5,67.56,67.63,67.73,67.77 | +| screen | 67.14,66.92,66.48,66.23,65.75,65.58,65.44,65.04,64.99,64.97,64.94 | +| blanket | 18.97,19.14,19.26,19.39,19.51,19.6,19.62,19.75,19.73,19.72,19.71 | +| sculpture | 56.25,56.28,56.3,56.29,56.3,56.52,56.46,56.34,56.35,56.41,56.58 | +| hood | 59.93,60.1,60.12,60.39,60.36,60.43,60.58,60.61,60.6,60.7,60.78 | +| sconce | 42.34,42.43,42.5,42.49,42.64,42.67,42.64,42.74,42.75,42.93,43.03 | +| vase | 36.92,37.1,37.28,37.47,37.55,37.76,37.81,37.97,38.0,38.13,38.21 | +| traffic light | 32.84,32.94,32.87,32.98,33.01,32.99,33.03,33.03,32.98,32.79,32.89 | +| tray | 7.48,7.5,7.6,7.46,7.49,7.44,7.28,7.26,7.45,7.33,7.56 | +| ashcan | 41.32,41.39,41.23,41.36,41.44,41.49,41.62,41.31,41.4,41.47,41.45 | +| fan | 58.81,58.78,58.79,58.85,58.99,59.07,59.07,59.15,59.11,59.17,59.07 | +| pier | 47.0,47.34,47.68,47.73,47.87,48.28,47.87,48.4,48.21,48.44,48.65 | +| crt screen | 9.68,9.55,9.52,9.49,9.35,9.31,9.32,9.29,9.31,9.31,9.3 | +| plate | 52.76,52.8,52.8,52.81,52.86,52.89,52.85,52.85,52.84,52.78,52.76 | +| monitor | 28.91,28.78,28.85,28.71,28.69,28.44,28.05,28.08,27.87,27.52,26.92 | +| bulletin board | 37.8,37.84,38.3,38.03,38.35,38.25,38.36,38.31,38.28,38.4,38.29 | +| shower | 1.8,1.83,1.83,1.84,1.87,1.88,1.87,1.9,1.97,1.93,1.92 | +| radiator | 63.02,63.07,63.35,63.34,63.55,63.68,63.79,64.15,64.07,64.21,64.41 | +| glass | 14.01,13.95,13.92,13.86,13.82,13.84,13.79,13.78,13.73,13.75,13.68 | +| clock | 36.2,36.08,36.14,36.13,36.01,35.89,35.89,35.97,35.94,35.8,35.6 | +| flag | 36.5,36.39,36.47,36.42,36.32,36.34,36.3,36.34,36.32,36.36,36.4 | ++---------------------+-------------------------------------------------------------------+ +2023-03-05 04:48:52,992 - mmseg - INFO - Summary: +2023-03-05 04:48:52,992 - mmseg - INFO - ++------------------------------------------------------------------+ +| mIoU 0,10,20,30,40,50,60,70,80,90,99 | ++------------------------------------------------------------------+ +| 48.72,48.77,48.82,48.87,48.91,48.95,48.96,49.0,49.02,49.03,49.08 | ++------------------------------------------------------------------+ +2023-03-05 04:48:53,025 - mmseg - INFO - The previous best checkpoint /mnt/petrelfs/laizeqiang/mmseg-baseline/work_dirs2/ablation_segformer_mit_b2_segformer_head_unet_fc_small_multi_step_ade_pretrained_freeze_embed_160k_ade20k151_mask_finetune_maskreplace/best_mIoU_iter_48000.pth was removed +2023-03-05 04:48:53,937 - mmseg - INFO - Now best checkpoint is saved as best_mIoU_iter_64000.pth. +2023-03-05 04:48:53,937 - mmseg - INFO - Best mIoU is 0.4908 at 64000 iter. +2023-03-05 04:48:53,938 - mmseg - INFO - Exp name: ablation_segformer_mit_b2_segformer_head_unet_fc_small_multi_step_ade_pretrained_freeze_embed_160k_ade20k151_mask_finetune_maskreplace.py +2023-03-05 04:48:53,938 - mmseg - INFO - Iter(val) [250] mIoU: [0.4872, 0.4877, 0.4882, 0.4887, 0.4891, 0.4895, 0.4896, 0.49, 0.4902, 0.4903, 0.4908], copy_paste: 48.72,48.77,48.82,48.87,48.91,48.95,48.96,49.0,49.02,49.03,49.08 +2023-03-05 04:48:53,944 - mmseg - INFO - Swap parameters (before train) before iter [64001] +2023-03-05 04:49:03,994 - mmseg - INFO - Iter [64050/160000] lr: 1.875e-05, eta: 6:27:37, time: 13.508, data_time: 13.314, memory: 52540, decode.loss_ce: 0.1914, decode.acc_seg: 92.1860, loss: 0.1914 +2023-03-05 04:49:13,917 - mmseg - INFO - Iter [64100/160000] lr: 1.875e-05, eta: 6:27:21, time: 0.199, data_time: 0.008, memory: 52540, decode.loss_ce: 0.1840, decode.acc_seg: 92.4114, loss: 0.1840 +2023-03-05 04:49:23,914 - mmseg - INFO - Iter [64150/160000] lr: 1.875e-05, eta: 6:27:06, time: 0.200, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1902, decode.acc_seg: 92.2435, loss: 0.1902 +2023-03-05 04:49:33,653 - mmseg - INFO - Iter [64200/160000] lr: 1.875e-05, eta: 6:26:50, time: 0.195, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1879, decode.acc_seg: 92.3138, loss: 0.1879 +2023-03-05 04:49:43,274 - mmseg - INFO - Iter [64250/160000] lr: 1.875e-05, eta: 6:26:34, time: 0.192, data_time: 0.008, memory: 52540, decode.loss_ce: 0.1948, decode.acc_seg: 92.0067, loss: 0.1948 +2023-03-05 04:49:52,874 - mmseg - INFO - Iter [64300/160000] lr: 1.875e-05, eta: 6:26:19, time: 0.192, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1918, decode.acc_seg: 92.2193, loss: 0.1918 +2023-03-05 04:50:02,536 - mmseg - INFO - Iter [64350/160000] lr: 1.875e-05, eta: 6:26:03, time: 0.193, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1914, decode.acc_seg: 92.1367, loss: 0.1914 +2023-03-05 04:50:14,752 - mmseg - INFO - Iter [64400/160000] lr: 1.875e-05, eta: 6:25:51, time: 0.244, data_time: 0.057, memory: 52540, decode.loss_ce: 0.1948, decode.acc_seg: 92.1438, loss: 0.1948 +2023-03-05 04:50:24,251 - mmseg - INFO - Iter [64450/160000] lr: 1.875e-05, eta: 6:25:35, time: 0.190, data_time: 0.008, memory: 52540, decode.loss_ce: 0.1917, decode.acc_seg: 92.2247, loss: 0.1917 +2023-03-05 04:50:33,795 - mmseg - INFO - Iter [64500/160000] lr: 1.875e-05, eta: 6:25:19, time: 0.191, data_time: 0.008, memory: 52540, decode.loss_ce: 0.1953, decode.acc_seg: 92.0712, loss: 0.1953 +2023-03-05 04:50:43,536 - mmseg - INFO - Iter [64550/160000] lr: 1.875e-05, eta: 6:25:03, time: 0.195, data_time: 0.008, memory: 52540, decode.loss_ce: 0.1850, decode.acc_seg: 92.4573, loss: 0.1850 +2023-03-05 04:50:53,101 - mmseg - INFO - Iter [64600/160000] lr: 1.875e-05, eta: 6:24:48, time: 0.191, data_time: 0.008, memory: 52540, decode.loss_ce: 0.1971, decode.acc_seg: 91.9885, loss: 0.1971 +2023-03-05 04:51:02,888 - mmseg - INFO - Iter [64650/160000] lr: 1.875e-05, eta: 6:24:32, time: 0.196, data_time: 0.008, memory: 52540, decode.loss_ce: 0.1830, decode.acc_seg: 92.3307, loss: 0.1830 +2023-03-05 04:51:12,546 - mmseg - INFO - Iter [64700/160000] lr: 1.875e-05, eta: 6:24:16, time: 0.193, data_time: 0.008, memory: 52540, decode.loss_ce: 0.1911, decode.acc_seg: 92.1619, loss: 0.1911 +2023-03-05 04:51:22,281 - mmseg - INFO - Iter [64750/160000] lr: 1.875e-05, eta: 6:24:01, time: 0.195, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1860, decode.acc_seg: 92.2904, loss: 0.1860 +2023-03-05 04:51:32,056 - mmseg - INFO - Iter [64800/160000] lr: 1.875e-05, eta: 6:23:45, time: 0.195, data_time: 0.008, memory: 52540, decode.loss_ce: 0.1899, decode.acc_seg: 92.1509, loss: 0.1899 +2023-03-05 04:51:41,690 - mmseg - INFO - Iter [64850/160000] lr: 1.875e-05, eta: 6:23:30, time: 0.193, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1862, decode.acc_seg: 92.2075, loss: 0.1862 +2023-03-05 04:51:51,639 - mmseg - INFO - Iter [64900/160000] lr: 1.875e-05, eta: 6:23:14, time: 0.199, data_time: 0.008, memory: 52540, decode.loss_ce: 0.1978, decode.acc_seg: 91.8594, loss: 0.1978 +2023-03-05 04:52:01,373 - mmseg - INFO - Iter [64950/160000] lr: 1.875e-05, eta: 6:22:59, time: 0.195, data_time: 0.008, memory: 52540, decode.loss_ce: 0.1953, decode.acc_seg: 92.0669, loss: 0.1953 +2023-03-05 04:52:13,883 - mmseg - INFO - Exp name: ablation_segformer_mit_b2_segformer_head_unet_fc_small_multi_step_ade_pretrained_freeze_embed_160k_ade20k151_mask_finetune_maskreplace.py +2023-03-05 04:52:13,883 - mmseg - INFO - Iter [65000/160000] lr: 1.875e-05, eta: 6:22:47, time: 0.250, data_time: 0.058, memory: 52540, decode.loss_ce: 0.1927, decode.acc_seg: 91.9654, loss: 0.1927 +2023-03-05 04:52:23,827 - mmseg - INFO - Iter [65050/160000] lr: 1.875e-05, eta: 6:22:32, time: 0.199, data_time: 0.008, memory: 52540, decode.loss_ce: 0.1885, decode.acc_seg: 92.1952, loss: 0.1885 +2023-03-05 04:52:33,515 - mmseg - INFO - Iter [65100/160000] lr: 1.875e-05, eta: 6:22:17, time: 0.194, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1844, decode.acc_seg: 92.4192, loss: 0.1844 +2023-03-05 04:52:43,227 - mmseg - INFO - Iter [65150/160000] lr: 1.875e-05, eta: 6:22:01, time: 0.194, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1864, decode.acc_seg: 92.3842, loss: 0.1864 +2023-03-05 04:52:52,735 - mmseg - INFO - Iter [65200/160000] lr: 1.875e-05, eta: 6:21:45, time: 0.190, data_time: 0.008, memory: 52540, decode.loss_ce: 0.1876, decode.acc_seg: 92.3538, loss: 0.1876 +2023-03-05 04:53:02,429 - mmseg - INFO - Iter [65250/160000] lr: 1.875e-05, eta: 6:21:30, time: 0.194, data_time: 0.008, memory: 52540, decode.loss_ce: 0.1900, decode.acc_seg: 92.2848, loss: 0.1900 +2023-03-05 04:53:11,983 - mmseg - INFO - Iter [65300/160000] lr: 1.875e-05, eta: 6:21:14, time: 0.191, data_time: 0.008, memory: 52540, decode.loss_ce: 0.1885, decode.acc_seg: 92.3079, loss: 0.1885 +2023-03-05 04:53:21,702 - mmseg - INFO - Iter [65350/160000] lr: 1.875e-05, eta: 6:20:58, time: 0.194, data_time: 0.008, memory: 52540, decode.loss_ce: 0.1896, decode.acc_seg: 92.1623, loss: 0.1896 +2023-03-05 04:53:31,363 - mmseg - INFO - Iter [65400/160000] lr: 1.875e-05, eta: 6:20:43, time: 0.193, data_time: 0.008, memory: 52540, decode.loss_ce: 0.1877, decode.acc_seg: 92.3241, loss: 0.1877 +2023-03-05 04:53:40,901 - mmseg - INFO - Iter [65450/160000] lr: 1.875e-05, eta: 6:20:27, time: 0.191, data_time: 0.008, memory: 52540, decode.loss_ce: 0.1933, decode.acc_seg: 92.1220, loss: 0.1933 +2023-03-05 04:53:50,495 - mmseg - INFO - Iter [65500/160000] lr: 1.875e-05, eta: 6:20:11, time: 0.192, data_time: 0.008, memory: 52540, decode.loss_ce: 0.1930, decode.acc_seg: 92.1267, loss: 0.1930 +2023-03-05 04:54:00,141 - mmseg - INFO - Iter [65550/160000] lr: 1.875e-05, eta: 6:19:56, time: 0.193, data_time: 0.008, memory: 52540, decode.loss_ce: 0.1873, decode.acc_seg: 92.3530, loss: 0.1873 +2023-03-05 04:54:09,756 - mmseg - INFO - Iter [65600/160000] lr: 1.875e-05, eta: 6:19:40, time: 0.192, data_time: 0.008, memory: 52540, decode.loss_ce: 0.1966, decode.acc_seg: 91.9404, loss: 0.1966 +2023-03-05 04:54:21,975 - mmseg - INFO - Iter [65650/160000] lr: 1.875e-05, eta: 6:19:28, time: 0.244, data_time: 0.057, memory: 52540, decode.loss_ce: 0.1899, decode.acc_seg: 92.2701, loss: 0.1899 +2023-03-05 04:54:31,534 - mmseg - INFO - Iter [65700/160000] lr: 1.875e-05, eta: 6:19:13, time: 0.191, data_time: 0.008, memory: 52540, decode.loss_ce: 0.1833, decode.acc_seg: 92.5131, loss: 0.1833 +2023-03-05 04:54:41,214 - mmseg - INFO - Iter [65750/160000] lr: 1.875e-05, eta: 6:18:57, time: 0.193, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1923, decode.acc_seg: 91.9738, loss: 0.1923 +2023-03-05 04:54:50,878 - mmseg - INFO - Iter [65800/160000] lr: 1.875e-05, eta: 6:18:42, time: 0.194, data_time: 0.008, memory: 52540, decode.loss_ce: 0.1897, decode.acc_seg: 92.0525, loss: 0.1897 +2023-03-05 04:55:00,659 - mmseg - INFO - Iter [65850/160000] lr: 1.875e-05, eta: 6:18:26, time: 0.196, data_time: 0.008, memory: 52540, decode.loss_ce: 0.1871, decode.acc_seg: 92.2369, loss: 0.1871 +2023-03-05 04:55:10,260 - mmseg - INFO - Iter [65900/160000] lr: 1.875e-05, eta: 6:18:11, time: 0.192, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1922, decode.acc_seg: 92.1322, loss: 0.1922 +2023-03-05 04:55:20,285 - mmseg - INFO - Iter [65950/160000] lr: 1.875e-05, eta: 6:17:56, time: 0.200, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1876, decode.acc_seg: 92.2300, loss: 0.1876 +2023-03-05 04:55:30,100 - mmseg - INFO - Exp name: ablation_segformer_mit_b2_segformer_head_unet_fc_small_multi_step_ade_pretrained_freeze_embed_160k_ade20k151_mask_finetune_maskreplace.py +2023-03-05 04:55:30,100 - mmseg - INFO - Iter [66000/160000] lr: 1.875e-05, eta: 6:17:41, time: 0.196, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1926, decode.acc_seg: 91.9793, loss: 0.1926 +2023-03-05 04:55:39,827 - mmseg - INFO - Iter [66050/160000] lr: 1.875e-05, eta: 6:17:25, time: 0.195, data_time: 0.008, memory: 52540, decode.loss_ce: 0.1996, decode.acc_seg: 91.8615, loss: 0.1996 +2023-03-05 04:55:49,454 - mmseg - INFO - Iter [66100/160000] lr: 1.875e-05, eta: 6:17:10, time: 0.192, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1879, decode.acc_seg: 92.3463, loss: 0.1879 +2023-03-05 04:55:59,148 - mmseg - INFO - Iter [66150/160000] lr: 1.875e-05, eta: 6:16:54, time: 0.194, data_time: 0.008, memory: 52540, decode.loss_ce: 0.1822, decode.acc_seg: 92.5059, loss: 0.1822 +2023-03-05 04:56:08,928 - mmseg - INFO - Iter [66200/160000] lr: 1.875e-05, eta: 6:16:39, time: 0.196, data_time: 0.008, memory: 52540, decode.loss_ce: 0.1944, decode.acc_seg: 92.0905, loss: 0.1944 +2023-03-05 04:56:18,567 - mmseg - INFO - Iter [66250/160000] lr: 1.875e-05, eta: 6:16:24, time: 0.193, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1946, decode.acc_seg: 92.0884, loss: 0.1946 +2023-03-05 04:56:30,897 - mmseg - INFO - Iter [66300/160000] lr: 1.875e-05, eta: 6:16:12, time: 0.247, data_time: 0.055, memory: 52540, decode.loss_ce: 0.1907, decode.acc_seg: 92.1188, loss: 0.1907 +2023-03-05 04:56:40,638 - mmseg - INFO - Iter [66350/160000] lr: 1.875e-05, eta: 6:15:57, time: 0.195, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1949, decode.acc_seg: 91.9947, loss: 0.1949 +2023-03-05 04:56:50,451 - mmseg - INFO - Iter [66400/160000] lr: 1.875e-05, eta: 6:15:42, time: 0.196, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1771, decode.acc_seg: 92.7421, loss: 0.1771 +2023-03-05 04:57:00,073 - mmseg - INFO - Iter [66450/160000] lr: 1.875e-05, eta: 6:15:26, time: 0.192, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1864, decode.acc_seg: 92.4719, loss: 0.1864 +2023-03-05 04:57:10,166 - mmseg - INFO - Iter [66500/160000] lr: 1.875e-05, eta: 6:15:11, time: 0.202, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1909, decode.acc_seg: 92.2186, loss: 0.1909 +2023-03-05 04:57:19,956 - mmseg - INFO - Iter [66550/160000] lr: 1.875e-05, eta: 6:14:56, time: 0.196, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1857, decode.acc_seg: 92.3704, loss: 0.1857 +2023-03-05 04:57:29,639 - mmseg - INFO - Iter [66600/160000] lr: 1.875e-05, eta: 6:14:41, time: 0.194, data_time: 0.008, memory: 52540, decode.loss_ce: 0.1884, decode.acc_seg: 92.1987, loss: 0.1884 +2023-03-05 04:57:39,226 - mmseg - INFO - Iter [66650/160000] lr: 1.875e-05, eta: 6:14:25, time: 0.192, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1939, decode.acc_seg: 92.0204, loss: 0.1939 +2023-03-05 04:57:48,898 - mmseg - INFO - Iter [66700/160000] lr: 1.875e-05, eta: 6:14:10, time: 0.193, data_time: 0.008, memory: 52540, decode.loss_ce: 0.1815, decode.acc_seg: 92.4895, loss: 0.1815 +2023-03-05 04:57:58,520 - mmseg - INFO - Iter [66750/160000] lr: 1.875e-05, eta: 6:13:55, time: 0.192, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1952, decode.acc_seg: 92.1188, loss: 0.1952 +2023-03-05 04:58:08,219 - mmseg - INFO - Iter [66800/160000] lr: 1.875e-05, eta: 6:13:39, time: 0.194, data_time: 0.008, memory: 52540, decode.loss_ce: 0.1990, decode.acc_seg: 91.8208, loss: 0.1990 +2023-03-05 04:58:17,775 - mmseg - INFO - Iter [66850/160000] lr: 1.875e-05, eta: 6:13:24, time: 0.191, data_time: 0.007, memory: 52540, decode.loss_ce: 0.2015, decode.acc_seg: 91.8526, loss: 0.2015 +2023-03-05 04:58:30,135 - mmseg - INFO - Iter [66900/160000] lr: 1.875e-05, eta: 6:13:12, time: 0.247, data_time: 0.060, memory: 52540, decode.loss_ce: 0.1941, decode.acc_seg: 91.9317, loss: 0.1941 +2023-03-05 04:58:39,888 - mmseg - INFO - Iter [66950/160000] lr: 1.875e-05, eta: 6:12:57, time: 0.195, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1906, decode.acc_seg: 92.2347, loss: 0.1906 +2023-03-05 04:58:49,716 - mmseg - INFO - Exp name: ablation_segformer_mit_b2_segformer_head_unet_fc_small_multi_step_ade_pretrained_freeze_embed_160k_ade20k151_mask_finetune_maskreplace.py +2023-03-05 04:58:49,716 - mmseg - INFO - Iter [67000/160000] lr: 1.875e-05, eta: 6:12:42, time: 0.197, data_time: 0.008, memory: 52540, decode.loss_ce: 0.1879, decode.acc_seg: 92.2037, loss: 0.1879 +2023-03-05 04:58:59,242 - mmseg - INFO - Iter [67050/160000] lr: 1.875e-05, eta: 6:12:27, time: 0.191, data_time: 0.008, memory: 52540, decode.loss_ce: 0.1915, decode.acc_seg: 92.3076, loss: 0.1915 +2023-03-05 04:59:09,241 - mmseg - INFO - Iter [67100/160000] lr: 1.875e-05, eta: 6:12:12, time: 0.200, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1900, decode.acc_seg: 92.3556, loss: 0.1900 +2023-03-05 04:59:19,129 - mmseg - INFO - Iter [67150/160000] lr: 1.875e-05, eta: 6:11:57, time: 0.198, data_time: 0.008, memory: 52540, decode.loss_ce: 0.1895, decode.acc_seg: 92.2621, loss: 0.1895 +2023-03-05 04:59:28,723 - mmseg - INFO - Iter [67200/160000] lr: 1.875e-05, eta: 6:11:41, time: 0.192, data_time: 0.008, memory: 52540, decode.loss_ce: 0.1882, decode.acc_seg: 92.3575, loss: 0.1882 +2023-03-05 04:59:38,342 - mmseg - INFO - Iter [67250/160000] lr: 1.875e-05, eta: 6:11:26, time: 0.192, data_time: 0.008, memory: 52540, decode.loss_ce: 0.1855, decode.acc_seg: 92.4270, loss: 0.1855 +2023-03-05 04:59:48,069 - mmseg - INFO - Iter [67300/160000] lr: 1.875e-05, eta: 6:11:11, time: 0.195, data_time: 0.008, memory: 52540, decode.loss_ce: 0.1862, decode.acc_seg: 92.4454, loss: 0.1862 +2023-03-05 04:59:57,832 - mmseg - INFO - Iter [67350/160000] lr: 1.875e-05, eta: 6:10:56, time: 0.195, data_time: 0.008, memory: 52540, decode.loss_ce: 0.1893, decode.acc_seg: 92.2771, loss: 0.1893 +2023-03-05 05:00:07,583 - mmseg - INFO - Iter [67400/160000] lr: 1.875e-05, eta: 6:10:41, time: 0.195, data_time: 0.008, memory: 52540, decode.loss_ce: 0.1904, decode.acc_seg: 92.2576, loss: 0.1904 +2023-03-05 05:00:17,318 - mmseg - INFO - Iter [67450/160000] lr: 1.875e-05, eta: 6:10:26, time: 0.195, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1884, decode.acc_seg: 92.2843, loss: 0.1884 +2023-03-05 05:00:27,438 - mmseg - INFO - Iter [67500/160000] lr: 1.875e-05, eta: 6:10:11, time: 0.202, data_time: 0.008, memory: 52540, decode.loss_ce: 0.1852, decode.acc_seg: 92.3016, loss: 0.1852 +2023-03-05 05:00:39,530 - mmseg - INFO - Iter [67550/160000] lr: 1.875e-05, eta: 6:09:59, time: 0.242, data_time: 0.056, memory: 52540, decode.loss_ce: 0.1893, decode.acc_seg: 92.1055, loss: 0.1893 +2023-03-05 05:00:49,449 - mmseg - INFO - Iter [67600/160000] lr: 1.875e-05, eta: 6:09:44, time: 0.198, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1931, decode.acc_seg: 92.1199, loss: 0.1931 +2023-03-05 05:00:59,324 - mmseg - INFO - Iter [67650/160000] lr: 1.875e-05, eta: 6:09:29, time: 0.198, data_time: 0.008, memory: 52540, decode.loss_ce: 0.1920, decode.acc_seg: 92.0594, loss: 0.1920 +2023-03-05 05:01:09,027 - mmseg - INFO - Iter [67700/160000] lr: 1.875e-05, eta: 6:09:14, time: 0.194, data_time: 0.008, memory: 52540, decode.loss_ce: 0.2003, decode.acc_seg: 91.9113, loss: 0.2003 +2023-03-05 05:01:18,675 - mmseg - INFO - Iter [67750/160000] lr: 1.875e-05, eta: 6:08:59, time: 0.193, data_time: 0.008, memory: 52540, decode.loss_ce: 0.1984, decode.acc_seg: 91.8923, loss: 0.1984 +2023-03-05 05:01:28,323 - mmseg - INFO - Iter [67800/160000] lr: 1.875e-05, eta: 6:08:44, time: 0.193, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1806, decode.acc_seg: 92.4081, loss: 0.1806 +2023-03-05 05:01:38,190 - mmseg - INFO - Iter [67850/160000] lr: 1.875e-05, eta: 6:08:29, time: 0.197, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1847, decode.acc_seg: 92.3469, loss: 0.1847 +2023-03-05 05:01:47,886 - mmseg - INFO - Iter [67900/160000] lr: 1.875e-05, eta: 6:08:14, time: 0.194, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1912, decode.acc_seg: 92.2311, loss: 0.1912 +2023-03-05 05:01:57,788 - mmseg - INFO - Iter [67950/160000] lr: 1.875e-05, eta: 6:07:59, time: 0.198, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1854, decode.acc_seg: 92.2863, loss: 0.1854 +2023-03-05 05:02:07,420 - mmseg - INFO - Exp name: ablation_segformer_mit_b2_segformer_head_unet_fc_small_multi_step_ade_pretrained_freeze_embed_160k_ade20k151_mask_finetune_maskreplace.py +2023-03-05 05:02:07,420 - mmseg - INFO - Iter [68000/160000] lr: 1.875e-05, eta: 6:07:44, time: 0.193, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1911, decode.acc_seg: 92.1618, loss: 0.1911 +2023-03-05 05:02:16,972 - mmseg - INFO - Iter [68050/160000] lr: 1.875e-05, eta: 6:07:28, time: 0.191, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1830, decode.acc_seg: 92.4661, loss: 0.1830 +2023-03-05 05:02:26,747 - mmseg - INFO - Iter [68100/160000] lr: 1.875e-05, eta: 6:07:13, time: 0.196, data_time: 0.008, memory: 52540, decode.loss_ce: 0.1926, decode.acc_seg: 92.1938, loss: 0.1926 +2023-03-05 05:02:38,886 - mmseg - INFO - Iter [68150/160000] lr: 1.875e-05, eta: 6:07:02, time: 0.243, data_time: 0.055, memory: 52540, decode.loss_ce: 0.1928, decode.acc_seg: 92.2027, loss: 0.1928 +2023-03-05 05:02:48,534 - mmseg - INFO - Iter [68200/160000] lr: 1.875e-05, eta: 6:06:47, time: 0.193, data_time: 0.008, memory: 52540, decode.loss_ce: 0.1872, decode.acc_seg: 92.3449, loss: 0.1872 +2023-03-05 05:02:58,208 - mmseg - INFO - Iter [68250/160000] lr: 1.875e-05, eta: 6:06:31, time: 0.193, data_time: 0.008, memory: 52540, decode.loss_ce: 0.1929, decode.acc_seg: 92.1548, loss: 0.1929 +2023-03-05 05:03:07,912 - mmseg - INFO - Iter [68300/160000] lr: 1.875e-05, eta: 6:06:16, time: 0.194, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1910, decode.acc_seg: 92.1521, loss: 0.1910 +2023-03-05 05:03:17,489 - mmseg - INFO - Iter [68350/160000] lr: 1.875e-05, eta: 6:06:01, time: 0.192, data_time: 0.008, memory: 52540, decode.loss_ce: 0.1903, decode.acc_seg: 92.2130, loss: 0.1903 +2023-03-05 05:03:27,301 - mmseg - INFO - Iter [68400/160000] lr: 1.875e-05, eta: 6:05:46, time: 0.196, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1865, decode.acc_seg: 92.4354, loss: 0.1865 +2023-03-05 05:03:36,920 - mmseg - INFO - Iter [68450/160000] lr: 1.875e-05, eta: 6:05:31, time: 0.192, data_time: 0.008, memory: 52540, decode.loss_ce: 0.1813, decode.acc_seg: 92.4602, loss: 0.1813 +2023-03-05 05:03:46,492 - mmseg - INFO - Iter [68500/160000] lr: 1.875e-05, eta: 6:05:16, time: 0.191, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1819, decode.acc_seg: 92.4128, loss: 0.1819 +2023-03-05 05:03:56,367 - mmseg - INFO - Iter [68550/160000] lr: 1.875e-05, eta: 6:05:01, time: 0.197, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1811, decode.acc_seg: 92.4583, loss: 0.1811 +2023-03-05 05:04:06,077 - mmseg - INFO - Iter [68600/160000] lr: 1.875e-05, eta: 6:04:46, time: 0.194, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1870, decode.acc_seg: 92.2793, loss: 0.1870 +2023-03-05 05:04:15,717 - mmseg - INFO - Iter [68650/160000] lr: 1.875e-05, eta: 6:04:31, time: 0.193, data_time: 0.008, memory: 52540, decode.loss_ce: 0.1894, decode.acc_seg: 92.1905, loss: 0.1894 +2023-03-05 05:04:25,308 - mmseg - INFO - Iter [68700/160000] lr: 1.875e-05, eta: 6:04:16, time: 0.192, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1852, decode.acc_seg: 92.3497, loss: 0.1852 +2023-03-05 05:04:35,340 - mmseg - INFO - Iter [68750/160000] lr: 1.875e-05, eta: 6:04:01, time: 0.201, data_time: 0.008, memory: 52540, decode.loss_ce: 0.1957, decode.acc_seg: 92.1665, loss: 0.1957 +2023-03-05 05:04:47,548 - mmseg - INFO - Iter [68800/160000] lr: 1.875e-05, eta: 6:03:50, time: 0.244, data_time: 0.054, memory: 52540, decode.loss_ce: 0.1870, decode.acc_seg: 92.1762, loss: 0.1870 +2023-03-05 05:04:57,175 - mmseg - INFO - Iter [68850/160000] lr: 1.875e-05, eta: 6:03:35, time: 0.193, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1913, decode.acc_seg: 92.0461, loss: 0.1913 +2023-03-05 05:05:06,969 - mmseg - INFO - Iter [68900/160000] lr: 1.875e-05, eta: 6:03:20, time: 0.196, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1877, decode.acc_seg: 92.3197, loss: 0.1877 +2023-03-05 05:05:16,876 - mmseg - INFO - Iter [68950/160000] lr: 1.875e-05, eta: 6:03:05, time: 0.198, data_time: 0.008, memory: 52540, decode.loss_ce: 0.1851, decode.acc_seg: 92.4066, loss: 0.1851 +2023-03-05 05:05:26,626 - mmseg - INFO - Exp name: ablation_segformer_mit_b2_segformer_head_unet_fc_small_multi_step_ade_pretrained_freeze_embed_160k_ade20k151_mask_finetune_maskreplace.py +2023-03-05 05:05:26,626 - mmseg - INFO - Iter [69000/160000] lr: 1.875e-05, eta: 6:02:50, time: 0.195, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1820, decode.acc_seg: 92.4979, loss: 0.1820 +2023-03-05 05:05:36,444 - mmseg - INFO - Iter [69050/160000] lr: 1.875e-05, eta: 6:02:36, time: 0.196, data_time: 0.008, memory: 52540, decode.loss_ce: 0.1856, decode.acc_seg: 92.3460, loss: 0.1856 +2023-03-05 05:05:45,999 - mmseg - INFO - Iter [69100/160000] lr: 1.875e-05, eta: 6:02:20, time: 0.191, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1854, decode.acc_seg: 92.3510, loss: 0.1854 +2023-03-05 05:05:55,997 - mmseg - INFO - Iter [69150/160000] lr: 1.875e-05, eta: 6:02:06, time: 0.200, data_time: 0.008, memory: 52540, decode.loss_ce: 0.1809, decode.acc_seg: 92.4405, loss: 0.1809 +2023-03-05 05:06:05,745 - mmseg - INFO - Iter [69200/160000] lr: 1.875e-05, eta: 6:01:51, time: 0.195, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1888, decode.acc_seg: 92.0545, loss: 0.1888 +2023-03-05 05:06:15,529 - mmseg - INFO - Iter [69250/160000] lr: 1.875e-05, eta: 6:01:36, time: 0.196, data_time: 0.008, memory: 52540, decode.loss_ce: 0.1945, decode.acc_seg: 92.1002, loss: 0.1945 +2023-03-05 05:06:25,217 - mmseg - INFO - Iter [69300/160000] lr: 1.875e-05, eta: 6:01:21, time: 0.194, data_time: 0.008, memory: 52540, decode.loss_ce: 0.1879, decode.acc_seg: 92.2859, loss: 0.1879 +2023-03-05 05:06:34,980 - mmseg - INFO - Iter [69350/160000] lr: 1.875e-05, eta: 6:01:07, time: 0.195, data_time: 0.008, memory: 52540, decode.loss_ce: 0.1874, decode.acc_seg: 92.2902, loss: 0.1874 +2023-03-05 05:06:45,003 - mmseg - INFO - Iter [69400/160000] lr: 1.875e-05, eta: 6:00:52, time: 0.200, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1867, decode.acc_seg: 92.1891, loss: 0.1867 +2023-03-05 05:06:57,162 - mmseg - INFO - Iter [69450/160000] lr: 1.875e-05, eta: 6:00:40, time: 0.243, data_time: 0.057, memory: 52540, decode.loss_ce: 0.1860, decode.acc_seg: 92.3443, loss: 0.1860 +2023-03-05 05:07:07,021 - mmseg - INFO - Iter [69500/160000] lr: 1.875e-05, eta: 6:00:26, time: 0.197, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1896, decode.acc_seg: 92.2390, loss: 0.1896 +2023-03-05 05:07:16,655 - mmseg - INFO - Iter [69550/160000] lr: 1.875e-05, eta: 6:00:11, time: 0.193, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1973, decode.acc_seg: 92.0116, loss: 0.1973 +2023-03-05 05:07:26,276 - mmseg - INFO - Iter [69600/160000] lr: 1.875e-05, eta: 5:59:56, time: 0.192, data_time: 0.008, memory: 52540, decode.loss_ce: 0.1834, decode.acc_seg: 92.4976, loss: 0.1834 +2023-03-05 05:07:36,069 - mmseg - INFO - Iter [69650/160000] lr: 1.875e-05, eta: 5:59:41, time: 0.196, data_time: 0.008, memory: 52540, decode.loss_ce: 0.1918, decode.acc_seg: 92.0159, loss: 0.1918 +2023-03-05 05:07:45,600 - mmseg - INFO - Iter [69700/160000] lr: 1.875e-05, eta: 5:59:26, time: 0.191, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1836, decode.acc_seg: 92.4797, loss: 0.1836 +2023-03-05 05:07:55,125 - mmseg - INFO - Iter [69750/160000] lr: 1.875e-05, eta: 5:59:11, time: 0.191, data_time: 0.008, memory: 52540, decode.loss_ce: 0.1876, decode.acc_seg: 92.4582, loss: 0.1876 +2023-03-05 05:08:04,729 - mmseg - INFO - Iter [69800/160000] lr: 1.875e-05, eta: 5:58:56, time: 0.192, data_time: 0.008, memory: 52540, decode.loss_ce: 0.1953, decode.acc_seg: 92.0535, loss: 0.1953 +2023-03-05 05:08:14,233 - mmseg - INFO - Iter [69850/160000] lr: 1.875e-05, eta: 5:58:41, time: 0.190, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1867, decode.acc_seg: 92.3871, loss: 0.1867 +2023-03-05 05:08:24,087 - mmseg - INFO - Iter [69900/160000] lr: 1.875e-05, eta: 5:58:26, time: 0.197, data_time: 0.008, memory: 52540, decode.loss_ce: 0.1832, decode.acc_seg: 92.4645, loss: 0.1832 +2023-03-05 05:08:33,843 - mmseg - INFO - Iter [69950/160000] lr: 1.875e-05, eta: 5:58:11, time: 0.195, data_time: 0.008, memory: 52540, decode.loss_ce: 0.1998, decode.acc_seg: 91.8446, loss: 0.1998 +2023-03-05 05:08:43,476 - mmseg - INFO - Exp name: ablation_segformer_mit_b2_segformer_head_unet_fc_small_multi_step_ade_pretrained_freeze_embed_160k_ade20k151_mask_finetune_maskreplace.py +2023-03-05 05:08:43,477 - mmseg - INFO - Iter [70000/160000] lr: 1.875e-05, eta: 5:57:57, time: 0.192, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1872, decode.acc_seg: 92.1791, loss: 0.1872 +2023-03-05 05:08:55,781 - mmseg - INFO - Iter [70050/160000] lr: 1.875e-05, eta: 5:57:45, time: 0.246, data_time: 0.056, memory: 52540, decode.loss_ce: 0.1895, decode.acc_seg: 92.2796, loss: 0.1895 +2023-03-05 05:09:05,465 - mmseg - INFO - Iter [70100/160000] lr: 1.875e-05, eta: 5:57:30, time: 0.194, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1909, decode.acc_seg: 92.2846, loss: 0.1909 +2023-03-05 05:09:15,249 - mmseg - INFO - Iter [70150/160000] lr: 1.875e-05, eta: 5:57:16, time: 0.196, data_time: 0.008, memory: 52540, decode.loss_ce: 0.1873, decode.acc_seg: 92.0854, loss: 0.1873 +2023-03-05 05:09:24,775 - mmseg - INFO - Iter [70200/160000] lr: 1.875e-05, eta: 5:57:01, time: 0.191, data_time: 0.008, memory: 52540, decode.loss_ce: 0.1836, decode.acc_seg: 92.6319, loss: 0.1836 +2023-03-05 05:09:34,442 - mmseg - INFO - Iter [70250/160000] lr: 1.875e-05, eta: 5:56:46, time: 0.193, data_time: 0.008, memory: 52540, decode.loss_ce: 0.1875, decode.acc_seg: 92.3309, loss: 0.1875 +2023-03-05 05:09:44,059 - mmseg - INFO - Iter [70300/160000] lr: 1.875e-05, eta: 5:56:31, time: 0.192, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1936, decode.acc_seg: 92.0013, loss: 0.1936 +2023-03-05 05:09:53,799 - mmseg - INFO - Iter [70350/160000] lr: 1.875e-05, eta: 5:56:16, time: 0.195, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1908, decode.acc_seg: 92.1314, loss: 0.1908 +2023-03-05 05:10:03,437 - mmseg - INFO - Iter [70400/160000] lr: 1.875e-05, eta: 5:56:01, time: 0.193, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1875, decode.acc_seg: 92.3392, loss: 0.1875 +2023-03-05 05:10:13,105 - mmseg - INFO - Iter [70450/160000] lr: 1.875e-05, eta: 5:55:47, time: 0.193, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1846, decode.acc_seg: 92.4058, loss: 0.1846 +2023-03-05 05:10:23,278 - mmseg - INFO - Iter [70500/160000] lr: 1.875e-05, eta: 5:55:33, time: 0.203, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1849, decode.acc_seg: 92.3836, loss: 0.1849 +2023-03-05 05:10:32,899 - mmseg - INFO - Iter [70550/160000] lr: 1.875e-05, eta: 5:55:18, time: 0.192, data_time: 0.008, memory: 52540, decode.loss_ce: 0.1901, decode.acc_seg: 92.1825, loss: 0.1901 +2023-03-05 05:10:42,589 - mmseg - INFO - Iter [70600/160000] lr: 1.875e-05, eta: 5:55:03, time: 0.194, data_time: 0.008, memory: 52540, decode.loss_ce: 0.1918, decode.acc_seg: 92.1587, loss: 0.1918 +2023-03-05 05:10:52,385 - mmseg - INFO - Iter [70650/160000] lr: 1.875e-05, eta: 5:54:48, time: 0.196, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1931, decode.acc_seg: 92.0377, loss: 0.1931 +2023-03-05 05:11:04,629 - mmseg - INFO - Iter [70700/160000] lr: 1.875e-05, eta: 5:54:37, time: 0.245, data_time: 0.057, memory: 52540, decode.loss_ce: 0.1944, decode.acc_seg: 92.1164, loss: 0.1944 +2023-03-05 05:11:14,243 - mmseg - INFO - Iter [70750/160000] lr: 1.875e-05, eta: 5:54:22, time: 0.192, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1858, decode.acc_seg: 92.1841, loss: 0.1858 +2023-03-05 05:11:23,843 - mmseg - INFO - Iter [70800/160000] lr: 1.875e-05, eta: 5:54:07, time: 0.192, data_time: 0.008, memory: 52540, decode.loss_ce: 0.1913, decode.acc_seg: 92.0838, loss: 0.1913 +2023-03-05 05:11:33,522 - mmseg - INFO - Iter [70850/160000] lr: 1.875e-05, eta: 5:53:52, time: 0.194, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1928, decode.acc_seg: 92.0420, loss: 0.1928 +2023-03-05 05:11:43,197 - mmseg - INFO - Iter [70900/160000] lr: 1.875e-05, eta: 5:53:38, time: 0.193, data_time: 0.008, memory: 52540, decode.loss_ce: 0.1816, decode.acc_seg: 92.5245, loss: 0.1816 +2023-03-05 05:11:52,894 - mmseg - INFO - Iter [70950/160000] lr: 1.875e-05, eta: 5:53:23, time: 0.194, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1851, decode.acc_seg: 92.3528, loss: 0.1851 +2023-03-05 05:12:02,461 - mmseg - INFO - Exp name: ablation_segformer_mit_b2_segformer_head_unet_fc_small_multi_step_ade_pretrained_freeze_embed_160k_ade20k151_mask_finetune_maskreplace.py +2023-03-05 05:12:02,461 - mmseg - INFO - Iter [71000/160000] lr: 1.875e-05, eta: 5:53:08, time: 0.191, data_time: 0.008, memory: 52540, decode.loss_ce: 0.1880, decode.acc_seg: 92.2995, loss: 0.1880 +2023-03-05 05:12:11,994 - mmseg - INFO - Iter [71050/160000] lr: 1.875e-05, eta: 5:52:53, time: 0.191, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1871, decode.acc_seg: 92.1686, loss: 0.1871 +2023-03-05 05:12:21,768 - mmseg - INFO - Iter [71100/160000] lr: 1.875e-05, eta: 5:52:39, time: 0.195, data_time: 0.008, memory: 52540, decode.loss_ce: 0.1897, decode.acc_seg: 92.1333, loss: 0.1897 +2023-03-05 05:12:31,467 - mmseg - INFO - Iter [71150/160000] lr: 1.875e-05, eta: 5:52:24, time: 0.194, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1911, decode.acc_seg: 92.0393, loss: 0.1911 +2023-03-05 05:12:41,241 - mmseg - INFO - Iter [71200/160000] lr: 1.875e-05, eta: 5:52:10, time: 0.195, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1916, decode.acc_seg: 92.0960, loss: 0.1916 +2023-03-05 05:12:50,769 - mmseg - INFO - Iter [71250/160000] lr: 1.875e-05, eta: 5:51:55, time: 0.191, data_time: 0.008, memory: 52540, decode.loss_ce: 0.1937, decode.acc_seg: 92.0342, loss: 0.1937 +2023-03-05 05:13:00,385 - mmseg - INFO - Iter [71300/160000] lr: 1.875e-05, eta: 5:51:40, time: 0.192, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1910, decode.acc_seg: 92.2333, loss: 0.1910 +2023-03-05 05:13:12,573 - mmseg - INFO - Iter [71350/160000] lr: 1.875e-05, eta: 5:51:29, time: 0.244, data_time: 0.055, memory: 52540, decode.loss_ce: 0.1873, decode.acc_seg: 92.2387, loss: 0.1873 +2023-03-05 05:13:22,310 - mmseg - INFO - Iter [71400/160000] lr: 1.875e-05, eta: 5:51:14, time: 0.195, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1907, decode.acc_seg: 92.2233, loss: 0.1907 +2023-03-05 05:13:31,854 - mmseg - INFO - Iter [71450/160000] lr: 1.875e-05, eta: 5:50:59, time: 0.191, data_time: 0.008, memory: 52540, decode.loss_ce: 0.1909, decode.acc_seg: 92.2776, loss: 0.1909 +2023-03-05 05:13:41,539 - mmseg - INFO - Iter [71500/160000] lr: 1.875e-05, eta: 5:50:45, time: 0.194, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1919, decode.acc_seg: 92.1136, loss: 0.1919 +2023-03-05 05:13:51,110 - mmseg - INFO - Iter [71550/160000] lr: 1.875e-05, eta: 5:50:30, time: 0.191, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1896, decode.acc_seg: 92.1619, loss: 0.1896 +2023-03-05 05:14:00,678 - mmseg - INFO - Iter [71600/160000] lr: 1.875e-05, eta: 5:50:15, time: 0.191, data_time: 0.008, memory: 52540, decode.loss_ce: 0.1897, decode.acc_seg: 92.2365, loss: 0.1897 +2023-03-05 05:14:10,233 - mmseg - INFO - Iter [71650/160000] lr: 1.875e-05, eta: 5:50:00, time: 0.191, data_time: 0.008, memory: 52540, decode.loss_ce: 0.1846, decode.acc_seg: 92.2305, loss: 0.1846 +2023-03-05 05:14:20,059 - mmseg - INFO - Iter [71700/160000] lr: 1.875e-05, eta: 5:49:46, time: 0.196, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1900, decode.acc_seg: 92.2052, loss: 0.1900 +2023-03-05 05:14:29,590 - mmseg - INFO - Iter [71750/160000] lr: 1.875e-05, eta: 5:49:31, time: 0.191, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1919, decode.acc_seg: 92.0784, loss: 0.1919 +2023-03-05 05:14:39,355 - mmseg - INFO - Iter [71800/160000] lr: 1.875e-05, eta: 5:49:17, time: 0.195, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1976, decode.acc_seg: 91.9419, loss: 0.1976 +2023-03-05 05:14:48,959 - mmseg - INFO - Iter [71850/160000] lr: 1.875e-05, eta: 5:49:02, time: 0.192, data_time: 0.008, memory: 52540, decode.loss_ce: 0.1833, decode.acc_seg: 92.3653, loss: 0.1833 +2023-03-05 05:14:58,614 - mmseg - INFO - Iter [71900/160000] lr: 1.875e-05, eta: 5:48:47, time: 0.193, data_time: 0.008, memory: 52540, decode.loss_ce: 0.1866, decode.acc_seg: 92.2514, loss: 0.1866 +2023-03-05 05:15:10,748 - mmseg - INFO - Iter [71950/160000] lr: 1.875e-05, eta: 5:48:36, time: 0.243, data_time: 0.057, memory: 52540, decode.loss_ce: 0.1851, decode.acc_seg: 92.3804, loss: 0.1851 +2023-03-05 05:15:20,436 - mmseg - INFO - Exp name: ablation_segformer_mit_b2_segformer_head_unet_fc_small_multi_step_ade_pretrained_freeze_embed_160k_ade20k151_mask_finetune_maskreplace.py +2023-03-05 05:15:20,436 - mmseg - INFO - Iter [72000/160000] lr: 1.875e-05, eta: 5:48:21, time: 0.194, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1943, decode.acc_seg: 92.1310, loss: 0.1943 +2023-03-05 05:15:30,226 - mmseg - INFO - Iter [72050/160000] lr: 1.875e-05, eta: 5:48:07, time: 0.196, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1807, decode.acc_seg: 92.5017, loss: 0.1807 +2023-03-05 05:15:39,956 - mmseg - INFO - Iter [72100/160000] lr: 1.875e-05, eta: 5:47:52, time: 0.195, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1853, decode.acc_seg: 92.3499, loss: 0.1853 +2023-03-05 05:15:49,692 - mmseg - INFO - Iter [72150/160000] lr: 1.875e-05, eta: 5:47:38, time: 0.195, data_time: 0.008, memory: 52540, decode.loss_ce: 0.1840, decode.acc_seg: 92.5083, loss: 0.1840 +2023-03-05 05:15:59,367 - mmseg - INFO - Iter [72200/160000] lr: 1.875e-05, eta: 5:47:23, time: 0.193, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1935, decode.acc_seg: 92.0941, loss: 0.1935 +2023-03-05 05:16:09,104 - mmseg - INFO - Iter [72250/160000] lr: 1.875e-05, eta: 5:47:09, time: 0.195, data_time: 0.008, memory: 52540, decode.loss_ce: 0.1937, decode.acc_seg: 92.0941, loss: 0.1937 +2023-03-05 05:16:18,842 - mmseg - INFO - Iter [72300/160000] lr: 1.875e-05, eta: 5:46:54, time: 0.195, data_time: 0.008, memory: 52540, decode.loss_ce: 0.1859, decode.acc_seg: 92.3866, loss: 0.1859 +2023-03-05 05:16:28,938 - mmseg - INFO - Iter [72350/160000] lr: 1.875e-05, eta: 5:46:40, time: 0.202, data_time: 0.008, memory: 52540, decode.loss_ce: 0.1922, decode.acc_seg: 92.2261, loss: 0.1922 +2023-03-05 05:16:38,617 - mmseg - INFO - Iter [72400/160000] lr: 1.875e-05, eta: 5:46:26, time: 0.194, data_time: 0.008, memory: 52540, decode.loss_ce: 0.1820, decode.acc_seg: 92.5478, loss: 0.1820 +2023-03-05 05:16:48,433 - mmseg - INFO - Iter [72450/160000] lr: 1.875e-05, eta: 5:46:11, time: 0.196, data_time: 0.008, memory: 52540, decode.loss_ce: 0.1903, decode.acc_seg: 92.2481, loss: 0.1903 +2023-03-05 05:16:57,924 - mmseg - INFO - Iter [72500/160000] lr: 1.875e-05, eta: 5:45:57, time: 0.190, data_time: 0.008, memory: 52540, decode.loss_ce: 0.1856, decode.acc_seg: 92.2791, loss: 0.1856 +2023-03-05 05:17:07,704 - mmseg - INFO - Iter [72550/160000] lr: 1.875e-05, eta: 5:45:42, time: 0.196, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1948, decode.acc_seg: 91.9441, loss: 0.1948 +2023-03-05 05:17:19,731 - mmseg - INFO - Iter [72600/160000] lr: 1.875e-05, eta: 5:45:31, time: 0.241, data_time: 0.055, memory: 52540, decode.loss_ce: 0.1816, decode.acc_seg: 92.5668, loss: 0.1816 +2023-03-05 05:17:29,466 - mmseg - INFO - Iter [72650/160000] lr: 1.875e-05, eta: 5:45:16, time: 0.195, data_time: 0.008, memory: 52540, decode.loss_ce: 0.1942, decode.acc_seg: 92.1216, loss: 0.1942 +2023-03-05 05:17:39,244 - mmseg - INFO - Iter [72700/160000] lr: 1.875e-05, eta: 5:45:02, time: 0.196, data_time: 0.008, memory: 52540, decode.loss_ce: 0.1919, decode.acc_seg: 92.1741, loss: 0.1919 +2023-03-05 05:17:49,017 - mmseg - INFO - Iter [72750/160000] lr: 1.875e-05, eta: 5:44:48, time: 0.195, data_time: 0.008, memory: 52540, decode.loss_ce: 0.1769, decode.acc_seg: 92.5697, loss: 0.1769 +2023-03-05 05:17:58,715 - mmseg - INFO - Iter [72800/160000] lr: 1.875e-05, eta: 5:44:33, time: 0.194, data_time: 0.008, memory: 52540, decode.loss_ce: 0.1886, decode.acc_seg: 92.2421, loss: 0.1886 +2023-03-05 05:18:08,352 - mmseg - INFO - Iter [72850/160000] lr: 1.875e-05, eta: 5:44:19, time: 0.193, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1847, decode.acc_seg: 92.4174, loss: 0.1847 +2023-03-05 05:18:18,061 - mmseg - INFO - Iter [72900/160000] lr: 1.875e-05, eta: 5:44:04, time: 0.194, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1938, decode.acc_seg: 92.1490, loss: 0.1938 +2023-03-05 05:18:28,430 - mmseg - INFO - Iter [72950/160000] lr: 1.875e-05, eta: 5:43:51, time: 0.207, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1862, decode.acc_seg: 92.4184, loss: 0.1862 +2023-03-05 05:18:38,412 - mmseg - INFO - Exp name: ablation_segformer_mit_b2_segformer_head_unet_fc_small_multi_step_ade_pretrained_freeze_embed_160k_ade20k151_mask_finetune_maskreplace.py +2023-03-05 05:18:38,412 - mmseg - INFO - Iter [73000/160000] lr: 1.875e-05, eta: 5:43:37, time: 0.200, data_time: 0.008, memory: 52540, decode.loss_ce: 0.1863, decode.acc_seg: 92.3385, loss: 0.1863 +2023-03-05 05:18:48,248 - mmseg - INFO - Iter [73050/160000] lr: 1.875e-05, eta: 5:43:22, time: 0.197, data_time: 0.008, memory: 52540, decode.loss_ce: 0.1947, decode.acc_seg: 92.0379, loss: 0.1947 +2023-03-05 05:18:57,778 - mmseg - INFO - Iter [73100/160000] lr: 1.875e-05, eta: 5:43:08, time: 0.191, data_time: 0.008, memory: 52540, decode.loss_ce: 0.1882, decode.acc_seg: 92.2666, loss: 0.1882 +2023-03-05 05:19:07,294 - mmseg - INFO - Iter [73150/160000] lr: 1.875e-05, eta: 5:42:53, time: 0.190, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1959, decode.acc_seg: 91.9606, loss: 0.1959 +2023-03-05 05:19:19,651 - mmseg - INFO - Iter [73200/160000] lr: 1.875e-05, eta: 5:42:42, time: 0.247, data_time: 0.057, memory: 52540, decode.loss_ce: 0.1870, decode.acc_seg: 92.2662, loss: 0.1870 +2023-03-05 05:19:29,522 - mmseg - INFO - Iter [73250/160000] lr: 1.875e-05, eta: 5:42:28, time: 0.197, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1923, decode.acc_seg: 92.1225, loss: 0.1923 +2023-03-05 05:19:39,410 - mmseg - INFO - Iter [73300/160000] lr: 1.875e-05, eta: 5:42:13, time: 0.198, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1972, decode.acc_seg: 91.9980, loss: 0.1972 +2023-03-05 05:19:48,974 - mmseg - INFO - Iter [73350/160000] lr: 1.875e-05, eta: 5:41:59, time: 0.191, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1927, decode.acc_seg: 92.2418, loss: 0.1927 +2023-03-05 05:19:58,725 - mmseg - INFO - Iter [73400/160000] lr: 1.875e-05, eta: 5:41:45, time: 0.195, data_time: 0.008, memory: 52540, decode.loss_ce: 0.1874, decode.acc_seg: 92.3012, loss: 0.1874 +2023-03-05 05:20:08,409 - mmseg - INFO - Iter [73450/160000] lr: 1.875e-05, eta: 5:41:30, time: 0.193, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1852, decode.acc_seg: 92.4999, loss: 0.1852 +2023-03-05 05:20:18,116 - mmseg - INFO - Iter [73500/160000] lr: 1.875e-05, eta: 5:41:16, time: 0.194, data_time: 0.008, memory: 52540, decode.loss_ce: 0.1849, decode.acc_seg: 92.3062, loss: 0.1849 +2023-03-05 05:20:27,843 - mmseg - INFO - Iter [73550/160000] lr: 1.875e-05, eta: 5:41:02, time: 0.195, data_time: 0.008, memory: 52540, decode.loss_ce: 0.1865, decode.acc_seg: 92.2024, loss: 0.1865 +2023-03-05 05:20:37,651 - mmseg - INFO - Iter [73600/160000] lr: 1.875e-05, eta: 5:40:47, time: 0.196, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1947, decode.acc_seg: 92.0968, loss: 0.1947 +2023-03-05 05:20:47,322 - mmseg - INFO - Iter [73650/160000] lr: 1.875e-05, eta: 5:40:33, time: 0.193, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1912, decode.acc_seg: 92.1399, loss: 0.1912 +2023-03-05 05:20:56,963 - mmseg - INFO - Iter [73700/160000] lr: 1.875e-05, eta: 5:40:19, time: 0.193, data_time: 0.008, memory: 52540, decode.loss_ce: 0.1861, decode.acc_seg: 92.2865, loss: 0.1861 +2023-03-05 05:21:06,889 - mmseg - INFO - Iter [73750/160000] lr: 1.875e-05, eta: 5:40:05, time: 0.199, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1877, decode.acc_seg: 92.2593, loss: 0.1877 +2023-03-05 05:21:16,643 - mmseg - INFO - Iter [73800/160000] lr: 1.875e-05, eta: 5:39:50, time: 0.195, data_time: 0.008, memory: 52540, decode.loss_ce: 0.1896, decode.acc_seg: 92.2984, loss: 0.1896 +2023-03-05 05:21:28,830 - mmseg - INFO - Iter [73850/160000] lr: 1.875e-05, eta: 5:39:39, time: 0.244, data_time: 0.059, memory: 52540, decode.loss_ce: 0.1926, decode.acc_seg: 92.0758, loss: 0.1926 +2023-03-05 05:21:38,643 - mmseg - INFO - Iter [73900/160000] lr: 1.875e-05, eta: 5:39:25, time: 0.196, data_time: 0.008, memory: 52540, decode.loss_ce: 0.1929, decode.acc_seg: 92.1196, loss: 0.1929 +2023-03-05 05:21:48,375 - mmseg - INFO - Iter [73950/160000] lr: 1.875e-05, eta: 5:39:10, time: 0.195, data_time: 0.008, memory: 52540, decode.loss_ce: 0.1915, decode.acc_seg: 92.1270, loss: 0.1915 +2023-03-05 05:21:57,924 - mmseg - INFO - Exp name: ablation_segformer_mit_b2_segformer_head_unet_fc_small_multi_step_ade_pretrained_freeze_embed_160k_ade20k151_mask_finetune_maskreplace.py +2023-03-05 05:21:57,924 - mmseg - INFO - Iter [74000/160000] lr: 1.875e-05, eta: 5:38:56, time: 0.191, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1847, decode.acc_seg: 92.4105, loss: 0.1847 +2023-03-05 05:22:07,622 - mmseg - INFO - Iter [74050/160000] lr: 1.875e-05, eta: 5:38:42, time: 0.194, data_time: 0.008, memory: 52540, decode.loss_ce: 0.1865, decode.acc_seg: 92.3571, loss: 0.1865 +2023-03-05 05:22:17,257 - mmseg - INFO - Iter [74100/160000] lr: 1.875e-05, eta: 5:38:27, time: 0.192, data_time: 0.008, memory: 52540, decode.loss_ce: 0.1917, decode.acc_seg: 92.1930, loss: 0.1917 +2023-03-05 05:22:27,246 - mmseg - INFO - Iter [74150/160000] lr: 1.875e-05, eta: 5:38:13, time: 0.200, data_time: 0.008, memory: 52540, decode.loss_ce: 0.1853, decode.acc_seg: 92.2779, loss: 0.1853 +2023-03-05 05:22:36,843 - mmseg - INFO - Iter [74200/160000] lr: 1.875e-05, eta: 5:37:59, time: 0.192, data_time: 0.008, memory: 52540, decode.loss_ce: 0.1857, decode.acc_seg: 92.3735, loss: 0.1857 +2023-03-05 05:22:46,388 - mmseg - INFO - Iter [74250/160000] lr: 1.875e-05, eta: 5:37:45, time: 0.191, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1837, decode.acc_seg: 92.3260, loss: 0.1837 +2023-03-05 05:22:55,892 - mmseg - INFO - Iter [74300/160000] lr: 1.875e-05, eta: 5:37:30, time: 0.190, data_time: 0.008, memory: 52540, decode.loss_ce: 0.1876, decode.acc_seg: 92.3041, loss: 0.1876 +2023-03-05 05:23:05,881 - mmseg - INFO - Iter [74350/160000] lr: 1.875e-05, eta: 5:37:16, time: 0.200, data_time: 0.008, memory: 52540, decode.loss_ce: 0.1834, decode.acc_seg: 92.3647, loss: 0.1834 +2023-03-05 05:23:15,591 - mmseg - INFO - Iter [74400/160000] lr: 1.875e-05, eta: 5:37:02, time: 0.194, data_time: 0.008, memory: 52540, decode.loss_ce: 0.1831, decode.acc_seg: 92.4719, loss: 0.1831 +2023-03-05 05:23:25,258 - mmseg - INFO - Iter [74450/160000] lr: 1.875e-05, eta: 5:36:48, time: 0.193, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1946, decode.acc_seg: 92.0767, loss: 0.1946 +2023-03-05 05:23:37,402 - mmseg - INFO - Iter [74500/160000] lr: 1.875e-05, eta: 5:36:36, time: 0.243, data_time: 0.054, memory: 52540, decode.loss_ce: 0.1956, decode.acc_seg: 91.9288, loss: 0.1956 +2023-03-05 05:23:47,061 - mmseg - INFO - Iter [74550/160000] lr: 1.875e-05, eta: 5:36:22, time: 0.193, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1827, decode.acc_seg: 92.5529, loss: 0.1827 +2023-03-05 05:23:56,818 - mmseg - INFO - Iter [74600/160000] lr: 1.875e-05, eta: 5:36:08, time: 0.195, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1823, decode.acc_seg: 92.5302, loss: 0.1823 +2023-03-05 05:24:06,503 - mmseg - INFO - Iter [74650/160000] lr: 1.875e-05, eta: 5:35:54, time: 0.194, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1904, decode.acc_seg: 92.2353, loss: 0.1904 +2023-03-05 05:24:16,117 - mmseg - INFO - Iter [74700/160000] lr: 1.875e-05, eta: 5:35:39, time: 0.192, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1817, decode.acc_seg: 92.5611, loss: 0.1817 +2023-03-05 05:24:25,615 - mmseg - INFO - Iter [74750/160000] lr: 1.875e-05, eta: 5:35:25, time: 0.190, data_time: 0.008, memory: 52540, decode.loss_ce: 0.1898, decode.acc_seg: 92.2720, loss: 0.1898 +2023-03-05 05:24:35,566 - mmseg - INFO - Iter [74800/160000] lr: 1.875e-05, eta: 5:35:11, time: 0.199, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1880, decode.acc_seg: 92.1870, loss: 0.1880 +2023-03-05 05:24:45,766 - mmseg - INFO - Iter [74850/160000] lr: 1.875e-05, eta: 5:34:57, time: 0.204, data_time: 0.008, memory: 52540, decode.loss_ce: 0.1930, decode.acc_seg: 92.0119, loss: 0.1930 +2023-03-05 05:24:55,818 - mmseg - INFO - Iter [74900/160000] lr: 1.875e-05, eta: 5:34:43, time: 0.201, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1954, decode.acc_seg: 91.8076, loss: 0.1954 +2023-03-05 05:25:05,755 - mmseg - INFO - Iter [74950/160000] lr: 1.875e-05, eta: 5:34:30, time: 0.199, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1895, decode.acc_seg: 92.1270, loss: 0.1895 +2023-03-05 05:25:15,434 - mmseg - INFO - Exp name: ablation_segformer_mit_b2_segformer_head_unet_fc_small_multi_step_ade_pretrained_freeze_embed_160k_ade20k151_mask_finetune_maskreplace.py +2023-03-05 05:25:15,434 - mmseg - INFO - Iter [75000/160000] lr: 1.875e-05, eta: 5:34:15, time: 0.193, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1879, decode.acc_seg: 92.1679, loss: 0.1879 +2023-03-05 05:25:25,237 - mmseg - INFO - Iter [75050/160000] lr: 1.875e-05, eta: 5:34:01, time: 0.196, data_time: 0.008, memory: 52540, decode.loss_ce: 0.1850, decode.acc_seg: 92.4941, loss: 0.1850 +2023-03-05 05:25:37,283 - mmseg - INFO - Iter [75100/160000] lr: 1.875e-05, eta: 5:33:50, time: 0.241, data_time: 0.053, memory: 52540, decode.loss_ce: 0.1841, decode.acc_seg: 92.4292, loss: 0.1841 +2023-03-05 05:25:46,959 - mmseg - INFO - Iter [75150/160000] lr: 1.875e-05, eta: 5:33:36, time: 0.193, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1948, decode.acc_seg: 92.0026, loss: 0.1948 +2023-03-05 05:25:56,645 - mmseg - INFO - Iter [75200/160000] lr: 1.875e-05, eta: 5:33:21, time: 0.194, data_time: 0.008, memory: 52540, decode.loss_ce: 0.1885, decode.acc_seg: 92.2251, loss: 0.1885 +2023-03-05 05:26:06,265 - mmseg - INFO - Iter [75250/160000] lr: 1.875e-05, eta: 5:33:07, time: 0.192, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1911, decode.acc_seg: 92.2321, loss: 0.1911 +2023-03-05 05:26:15,957 - mmseg - INFO - Iter [75300/160000] lr: 1.875e-05, eta: 5:32:53, time: 0.194, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1915, decode.acc_seg: 92.2706, loss: 0.1915 +2023-03-05 05:26:25,614 - mmseg - INFO - Iter [75350/160000] lr: 1.875e-05, eta: 5:32:39, time: 0.193, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1913, decode.acc_seg: 92.1880, loss: 0.1913 +2023-03-05 05:26:35,192 - mmseg - INFO - Iter [75400/160000] lr: 1.875e-05, eta: 5:32:25, time: 0.192, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1952, decode.acc_seg: 92.0283, loss: 0.1952 +2023-03-05 05:26:44,754 - mmseg - INFO - Iter [75450/160000] lr: 1.875e-05, eta: 5:32:10, time: 0.191, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1860, decode.acc_seg: 92.4199, loss: 0.1860 +2023-03-05 05:26:54,440 - mmseg - INFO - Iter [75500/160000] lr: 1.875e-05, eta: 5:31:56, time: 0.194, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1851, decode.acc_seg: 92.3720, loss: 0.1851 +2023-03-05 05:27:04,333 - mmseg - INFO - Iter [75550/160000] lr: 1.875e-05, eta: 5:31:42, time: 0.198, data_time: 0.008, memory: 52540, decode.loss_ce: 0.1802, decode.acc_seg: 92.4545, loss: 0.1802 +2023-03-05 05:27:13,931 - mmseg - INFO - Iter [75600/160000] lr: 1.875e-05, eta: 5:31:28, time: 0.192, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1801, decode.acc_seg: 92.5623, loss: 0.1801 +2023-03-05 05:27:23,617 - mmseg - INFO - Iter [75650/160000] lr: 1.875e-05, eta: 5:31:14, time: 0.194, data_time: 0.008, memory: 52540, decode.loss_ce: 0.1770, decode.acc_seg: 92.6364, loss: 0.1770 +2023-03-05 05:27:33,303 - mmseg - INFO - Iter [75700/160000] lr: 1.875e-05, eta: 5:31:00, time: 0.194, data_time: 0.008, memory: 52540, decode.loss_ce: 0.1931, decode.acc_seg: 92.1049, loss: 0.1931 +2023-03-05 05:27:45,644 - mmseg - INFO - Iter [75750/160000] lr: 1.875e-05, eta: 5:30:49, time: 0.247, data_time: 0.059, memory: 52540, decode.loss_ce: 0.1897, decode.acc_seg: 92.3001, loss: 0.1897 +2023-03-05 05:27:55,476 - mmseg - INFO - Iter [75800/160000] lr: 1.875e-05, eta: 5:30:35, time: 0.197, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1918, decode.acc_seg: 92.0472, loss: 0.1918 +2023-03-05 05:28:05,018 - mmseg - INFO - Iter [75850/160000] lr: 1.875e-05, eta: 5:30:20, time: 0.191, data_time: 0.008, memory: 52540, decode.loss_ce: 0.1917, decode.acc_seg: 92.1845, loss: 0.1917 +2023-03-05 05:28:14,678 - mmseg - INFO - Iter [75900/160000] lr: 1.875e-05, eta: 5:30:06, time: 0.193, data_time: 0.008, memory: 52540, decode.loss_ce: 0.1799, decode.acc_seg: 92.4483, loss: 0.1799 +2023-03-05 05:28:24,277 - mmseg - INFO - Iter [75950/160000] lr: 1.875e-05, eta: 5:29:52, time: 0.192, data_time: 0.008, memory: 52540, decode.loss_ce: 0.1866, decode.acc_seg: 92.3594, loss: 0.1866 +2023-03-05 05:28:33,953 - mmseg - INFO - Exp name: ablation_segformer_mit_b2_segformer_head_unet_fc_small_multi_step_ade_pretrained_freeze_embed_160k_ade20k151_mask_finetune_maskreplace.py +2023-03-05 05:28:33,953 - mmseg - INFO - Iter [76000/160000] lr: 1.875e-05, eta: 5:29:38, time: 0.194, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1932, decode.acc_seg: 92.2216, loss: 0.1932 +2023-03-05 05:28:43,649 - mmseg - INFO - Iter [76050/160000] lr: 1.875e-05, eta: 5:29:24, time: 0.194, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1909, decode.acc_seg: 92.1314, loss: 0.1909 +2023-03-05 05:28:53,388 - mmseg - INFO - Iter [76100/160000] lr: 1.875e-05, eta: 5:29:10, time: 0.195, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1930, decode.acc_seg: 92.1010, loss: 0.1930 +2023-03-05 05:29:03,154 - mmseg - INFO - Iter [76150/160000] lr: 1.875e-05, eta: 5:28:56, time: 0.195, data_time: 0.008, memory: 52540, decode.loss_ce: 0.1925, decode.acc_seg: 92.1367, loss: 0.1925 +2023-03-05 05:29:13,043 - mmseg - INFO - Iter [76200/160000] lr: 1.875e-05, eta: 5:28:42, time: 0.198, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1936, decode.acc_seg: 92.1488, loss: 0.1936 +2023-03-05 05:29:22,832 - mmseg - INFO - Iter [76250/160000] lr: 1.875e-05, eta: 5:28:28, time: 0.196, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1903, decode.acc_seg: 92.0724, loss: 0.1903 +2023-03-05 05:29:32,459 - mmseg - INFO - Iter [76300/160000] lr: 1.875e-05, eta: 5:28:14, time: 0.193, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1853, decode.acc_seg: 92.4128, loss: 0.1853 +2023-03-05 05:29:41,934 - mmseg - INFO - Iter [76350/160000] lr: 1.875e-05, eta: 5:28:00, time: 0.189, data_time: 0.008, memory: 52540, decode.loss_ce: 0.1908, decode.acc_seg: 92.0162, loss: 0.1908 +2023-03-05 05:29:54,116 - mmseg - INFO - Iter [76400/160000] lr: 1.875e-05, eta: 5:27:48, time: 0.244, data_time: 0.057, memory: 52540, decode.loss_ce: 0.1846, decode.acc_seg: 92.4194, loss: 0.1846 +2023-03-05 05:30:03,742 - mmseg - INFO - Iter [76450/160000] lr: 1.875e-05, eta: 5:27:34, time: 0.192, data_time: 0.008, memory: 52540, decode.loss_ce: 0.1848, decode.acc_seg: 92.2828, loss: 0.1848 +2023-03-05 05:30:13,337 - mmseg - INFO - Iter [76500/160000] lr: 1.875e-05, eta: 5:27:20, time: 0.192, data_time: 0.008, memory: 52540, decode.loss_ce: 0.1871, decode.acc_seg: 92.1681, loss: 0.1871 +2023-03-05 05:30:22,994 - mmseg - INFO - Iter [76550/160000] lr: 1.875e-05, eta: 5:27:06, time: 0.193, data_time: 0.008, memory: 52540, decode.loss_ce: 0.1870, decode.acc_seg: 92.3968, loss: 0.1870 +2023-03-05 05:30:32,548 - mmseg - INFO - Iter [76600/160000] lr: 1.875e-05, eta: 5:26:52, time: 0.191, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1884, decode.acc_seg: 92.2025, loss: 0.1884 +2023-03-05 05:30:42,217 - mmseg - INFO - Iter [76650/160000] lr: 1.875e-05, eta: 5:26:38, time: 0.193, data_time: 0.008, memory: 52540, decode.loss_ce: 0.1845, decode.acc_seg: 92.4415, loss: 0.1845 +2023-03-05 05:30:51,742 - mmseg - INFO - Iter [76700/160000] lr: 1.875e-05, eta: 5:26:24, time: 0.190, data_time: 0.008, memory: 52540, decode.loss_ce: 0.1941, decode.acc_seg: 92.0521, loss: 0.1941 +2023-03-05 05:31:01,383 - mmseg - INFO - Iter [76750/160000] lr: 1.875e-05, eta: 5:26:10, time: 0.193, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1937, decode.acc_seg: 92.1007, loss: 0.1937 +2023-03-05 05:31:11,154 - mmseg - INFO - Iter [76800/160000] lr: 1.875e-05, eta: 5:25:56, time: 0.195, data_time: 0.008, memory: 52540, decode.loss_ce: 0.1897, decode.acc_seg: 92.3113, loss: 0.1897 +2023-03-05 05:31:20,853 - mmseg - INFO - Iter [76850/160000] lr: 1.875e-05, eta: 5:25:42, time: 0.194, data_time: 0.008, memory: 52540, decode.loss_ce: 0.1899, decode.acc_seg: 92.2783, loss: 0.1899 +2023-03-05 05:31:30,479 - mmseg - INFO - Iter [76900/160000] lr: 1.875e-05, eta: 5:25:28, time: 0.193, data_time: 0.008, memory: 52540, decode.loss_ce: 0.1843, decode.acc_seg: 92.3854, loss: 0.1843 +2023-03-05 05:31:40,356 - mmseg - INFO - Iter [76950/160000] lr: 1.875e-05, eta: 5:25:14, time: 0.198, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1855, decode.acc_seg: 92.3216, loss: 0.1855 +2023-03-05 05:31:52,392 - mmseg - INFO - Exp name: ablation_segformer_mit_b2_segformer_head_unet_fc_small_multi_step_ade_pretrained_freeze_embed_160k_ade20k151_mask_finetune_maskreplace.py +2023-03-05 05:31:52,392 - mmseg - INFO - Iter [77000/160000] lr: 1.875e-05, eta: 5:25:03, time: 0.241, data_time: 0.056, memory: 52540, decode.loss_ce: 0.1904, decode.acc_seg: 92.2142, loss: 0.1904 +2023-03-05 05:32:02,081 - mmseg - INFO - Iter [77050/160000] lr: 1.875e-05, eta: 5:24:49, time: 0.194, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1883, decode.acc_seg: 92.3281, loss: 0.1883 +2023-03-05 05:32:11,727 - mmseg - INFO - Iter [77100/160000] lr: 1.875e-05, eta: 5:24:35, time: 0.193, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1909, decode.acc_seg: 92.2623, loss: 0.1909 +2023-03-05 05:32:21,573 - mmseg - INFO - Iter [77150/160000] lr: 1.875e-05, eta: 5:24:21, time: 0.197, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1828, decode.acc_seg: 92.4702, loss: 0.1828 +2023-03-05 05:32:31,351 - mmseg - INFO - Iter [77200/160000] lr: 1.875e-05, eta: 5:24:07, time: 0.196, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1896, decode.acc_seg: 92.2163, loss: 0.1896 +2023-03-05 05:32:41,090 - mmseg - INFO - Iter [77250/160000] lr: 1.875e-05, eta: 5:23:53, time: 0.195, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1930, decode.acc_seg: 92.0119, loss: 0.1930 +2023-03-05 05:32:50,812 - mmseg - INFO - Iter [77300/160000] lr: 1.875e-05, eta: 5:23:39, time: 0.194, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1841, decode.acc_seg: 92.2991, loss: 0.1841 +2023-03-05 05:33:00,548 - mmseg - INFO - Iter [77350/160000] lr: 1.875e-05, eta: 5:23:25, time: 0.195, data_time: 0.008, memory: 52540, decode.loss_ce: 0.1935, decode.acc_seg: 92.1423, loss: 0.1935 +2023-03-05 05:33:10,210 - mmseg - INFO - Iter [77400/160000] lr: 1.875e-05, eta: 5:23:11, time: 0.193, data_time: 0.008, memory: 52540, decode.loss_ce: 0.1881, decode.acc_seg: 92.0877, loss: 0.1881 +2023-03-05 05:33:19,813 - mmseg - INFO - Iter [77450/160000] lr: 1.875e-05, eta: 5:22:57, time: 0.192, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1878, decode.acc_seg: 92.2647, loss: 0.1878 +2023-03-05 05:33:29,451 - mmseg - INFO - Iter [77500/160000] lr: 1.875e-05, eta: 5:22:43, time: 0.193, data_time: 0.008, memory: 52540, decode.loss_ce: 0.1868, decode.acc_seg: 92.3118, loss: 0.1868 +2023-03-05 05:33:39,200 - mmseg - INFO - Iter [77550/160000] lr: 1.875e-05, eta: 5:22:30, time: 0.195, data_time: 0.008, memory: 52540, decode.loss_ce: 0.1911, decode.acc_seg: 92.0899, loss: 0.1911 +2023-03-05 05:33:49,169 - mmseg - INFO - Iter [77600/160000] lr: 1.875e-05, eta: 5:22:16, time: 0.199, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1886, decode.acc_seg: 92.4272, loss: 0.1886 +2023-03-05 05:34:01,331 - mmseg - INFO - Iter [77650/160000] lr: 1.875e-05, eta: 5:22:05, time: 0.243, data_time: 0.057, memory: 52540, decode.loss_ce: 0.1843, decode.acc_seg: 92.4779, loss: 0.1843 +2023-03-05 05:34:10,881 - mmseg - INFO - Iter [77700/160000] lr: 1.875e-05, eta: 5:21:51, time: 0.191, data_time: 0.008, memory: 52540, decode.loss_ce: 0.1868, decode.acc_seg: 92.3164, loss: 0.1868 +2023-03-05 05:34:20,870 - mmseg - INFO - Iter [77750/160000] lr: 1.875e-05, eta: 5:21:37, time: 0.200, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1893, decode.acc_seg: 92.2936, loss: 0.1893 +2023-03-05 05:34:30,358 - mmseg - INFO - Iter [77800/160000] lr: 1.875e-05, eta: 5:21:23, time: 0.190, data_time: 0.008, memory: 52540, decode.loss_ce: 0.1923, decode.acc_seg: 92.1151, loss: 0.1923 +2023-03-05 05:34:40,056 - mmseg - INFO - Iter [77850/160000] lr: 1.875e-05, eta: 5:21:09, time: 0.194, data_time: 0.008, memory: 52540, decode.loss_ce: 0.1859, decode.acc_seg: 92.3970, loss: 0.1859 +2023-03-05 05:34:49,774 - mmseg - INFO - Iter [77900/160000] lr: 1.875e-05, eta: 5:20:55, time: 0.195, data_time: 0.008, memory: 52540, decode.loss_ce: 0.1843, decode.acc_seg: 92.4478, loss: 0.1843 +2023-03-05 05:34:59,593 - mmseg - INFO - Iter [77950/160000] lr: 1.875e-05, eta: 5:20:41, time: 0.196, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1895, decode.acc_seg: 92.1997, loss: 0.1895 +2023-03-05 05:35:09,229 - mmseg - INFO - Exp name: ablation_segformer_mit_b2_segformer_head_unet_fc_small_multi_step_ade_pretrained_freeze_embed_160k_ade20k151_mask_finetune_maskreplace.py +2023-03-05 05:35:09,229 - mmseg - INFO - Iter [78000/160000] lr: 1.875e-05, eta: 5:20:28, time: 0.193, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1865, decode.acc_seg: 92.4334, loss: 0.1865 +2023-03-05 05:35:19,058 - mmseg - INFO - Iter [78050/160000] lr: 1.875e-05, eta: 5:20:14, time: 0.197, data_time: 0.008, memory: 52540, decode.loss_ce: 0.1811, decode.acc_seg: 92.4892, loss: 0.1811 +2023-03-05 05:35:28,599 - mmseg - INFO - Iter [78100/160000] lr: 1.875e-05, eta: 5:20:00, time: 0.191, data_time: 0.008, memory: 52540, decode.loss_ce: 0.1908, decode.acc_seg: 92.2000, loss: 0.1908 +2023-03-05 05:35:38,336 - mmseg - INFO - Iter [78150/160000] lr: 1.875e-05, eta: 5:19:46, time: 0.195, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1893, decode.acc_seg: 92.2828, loss: 0.1893 +2023-03-05 05:35:47,885 - mmseg - INFO - Iter [78200/160000] lr: 1.875e-05, eta: 5:19:32, time: 0.191, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1878, decode.acc_seg: 92.3464, loss: 0.1878 +2023-03-05 05:36:00,053 - mmseg - INFO - Iter [78250/160000] lr: 1.875e-05, eta: 5:19:21, time: 0.243, data_time: 0.054, memory: 52540, decode.loss_ce: 0.1887, decode.acc_seg: 92.2449, loss: 0.1887 +2023-03-05 05:36:09,860 - mmseg - INFO - Iter [78300/160000] lr: 1.875e-05, eta: 5:19:07, time: 0.196, data_time: 0.008, memory: 52540, decode.loss_ce: 0.1840, decode.acc_seg: 92.4260, loss: 0.1840 +2023-03-05 05:36:19,652 - mmseg - INFO - Iter [78350/160000] lr: 1.875e-05, eta: 5:18:53, time: 0.196, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1825, decode.acc_seg: 92.5473, loss: 0.1825 +2023-03-05 05:36:29,388 - mmseg - INFO - Iter [78400/160000] lr: 1.875e-05, eta: 5:18:40, time: 0.195, data_time: 0.008, memory: 52540, decode.loss_ce: 0.1866, decode.acc_seg: 92.2812, loss: 0.1866 +2023-03-05 05:36:38,922 - mmseg - INFO - Iter [78450/160000] lr: 1.875e-05, eta: 5:18:26, time: 0.191, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1860, decode.acc_seg: 92.3100, loss: 0.1860 +2023-03-05 05:36:48,822 - mmseg - INFO - Iter [78500/160000] lr: 1.875e-05, eta: 5:18:12, time: 0.198, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1894, decode.acc_seg: 92.2258, loss: 0.1894 +2023-03-05 05:36:58,618 - mmseg - INFO - Iter [78550/160000] lr: 1.875e-05, eta: 5:17:58, time: 0.196, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1886, decode.acc_seg: 92.3362, loss: 0.1886 +2023-03-05 05:37:08,536 - mmseg - INFO - Iter [78600/160000] lr: 1.875e-05, eta: 5:17:45, time: 0.199, data_time: 0.008, memory: 52540, decode.loss_ce: 0.1871, decode.acc_seg: 92.3189, loss: 0.1871 +2023-03-05 05:37:18,384 - mmseg - INFO - Iter [78650/160000] lr: 1.875e-05, eta: 5:17:31, time: 0.197, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1842, decode.acc_seg: 92.5114, loss: 0.1842 +2023-03-05 05:37:28,249 - mmseg - INFO - Iter [78700/160000] lr: 1.875e-05, eta: 5:17:17, time: 0.197, data_time: 0.008, memory: 52540, decode.loss_ce: 0.1883, decode.acc_seg: 92.3152, loss: 0.1883 +2023-03-05 05:37:38,004 - mmseg - INFO - Iter [78750/160000] lr: 1.875e-05, eta: 5:17:04, time: 0.195, data_time: 0.008, memory: 52540, decode.loss_ce: 0.1971, decode.acc_seg: 91.9257, loss: 0.1971 +2023-03-05 05:37:47,958 - mmseg - INFO - Iter [78800/160000] lr: 1.875e-05, eta: 5:16:50, time: 0.199, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1947, decode.acc_seg: 92.1481, loss: 0.1947 +2023-03-05 05:37:57,548 - mmseg - INFO - Iter [78850/160000] lr: 1.875e-05, eta: 5:16:36, time: 0.192, data_time: 0.008, memory: 52540, decode.loss_ce: 0.1847, decode.acc_seg: 92.3948, loss: 0.1847 +2023-03-05 05:38:09,754 - mmseg - INFO - Iter [78900/160000] lr: 1.875e-05, eta: 5:16:25, time: 0.244, data_time: 0.057, memory: 52540, decode.loss_ce: 0.1863, decode.acc_seg: 92.3830, loss: 0.1863 +2023-03-05 05:38:19,452 - mmseg - INFO - Iter [78950/160000] lr: 1.875e-05, eta: 5:16:11, time: 0.194, data_time: 0.008, memory: 52540, decode.loss_ce: 0.1850, decode.acc_seg: 92.4635, loss: 0.1850 +2023-03-05 05:38:29,015 - mmseg - INFO - Exp name: ablation_segformer_mit_b2_segformer_head_unet_fc_small_multi_step_ade_pretrained_freeze_embed_160k_ade20k151_mask_finetune_maskreplace.py +2023-03-05 05:38:29,015 - mmseg - INFO - Iter [79000/160000] lr: 1.875e-05, eta: 5:15:57, time: 0.191, data_time: 0.008, memory: 52540, decode.loss_ce: 0.1949, decode.acc_seg: 92.1492, loss: 0.1949 +2023-03-05 05:38:38,717 - mmseg - INFO - Iter [79050/160000] lr: 1.875e-05, eta: 5:15:44, time: 0.194, data_time: 0.008, memory: 52540, decode.loss_ce: 0.1924, decode.acc_seg: 92.0883, loss: 0.1924 +2023-03-05 05:38:48,238 - mmseg - INFO - Iter [79100/160000] lr: 1.875e-05, eta: 5:15:30, time: 0.190, data_time: 0.008, memory: 52540, decode.loss_ce: 0.1831, decode.acc_seg: 92.4509, loss: 0.1831 +2023-03-05 05:38:57,983 - mmseg - INFO - Iter [79150/160000] lr: 1.875e-05, eta: 5:15:16, time: 0.195, data_time: 0.008, memory: 52540, decode.loss_ce: 0.1810, decode.acc_seg: 92.3931, loss: 0.1810 +2023-03-05 05:39:07,521 - mmseg - INFO - Iter [79200/160000] lr: 1.875e-05, eta: 5:15:02, time: 0.191, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1978, decode.acc_seg: 91.9273, loss: 0.1978 +2023-03-05 05:39:17,243 - mmseg - INFO - Iter [79250/160000] lr: 1.875e-05, eta: 5:14:48, time: 0.194, data_time: 0.008, memory: 52540, decode.loss_ce: 0.1909, decode.acc_seg: 92.2019, loss: 0.1909 +2023-03-05 05:39:26,988 - mmseg - INFO - Iter [79300/160000] lr: 1.875e-05, eta: 5:14:35, time: 0.195, data_time: 0.008, memory: 52540, decode.loss_ce: 0.1800, decode.acc_seg: 92.5280, loss: 0.1800 +2023-03-05 05:39:36,571 - mmseg - INFO - Iter [79350/160000] lr: 1.875e-05, eta: 5:14:21, time: 0.192, data_time: 0.008, memory: 52540, decode.loss_ce: 0.1856, decode.acc_seg: 92.3477, loss: 0.1856 +2023-03-05 05:39:46,122 - mmseg - INFO - Iter [79400/160000] lr: 1.875e-05, eta: 5:14:07, time: 0.191, data_time: 0.008, memory: 52540, decode.loss_ce: 0.1991, decode.acc_seg: 92.0236, loss: 0.1991 +2023-03-05 05:39:55,751 - mmseg - INFO - Iter [79450/160000] lr: 1.875e-05, eta: 5:13:53, time: 0.193, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1809, decode.acc_seg: 92.6897, loss: 0.1809 +2023-03-05 05:40:05,492 - mmseg - INFO - Iter [79500/160000] lr: 1.875e-05, eta: 5:13:40, time: 0.195, data_time: 0.008, memory: 52540, decode.loss_ce: 0.1932, decode.acc_seg: 92.1367, loss: 0.1932 +2023-03-05 05:40:17,840 - mmseg - INFO - Iter [79550/160000] lr: 1.875e-05, eta: 5:13:29, time: 0.247, data_time: 0.054, memory: 52540, decode.loss_ce: 0.1874, decode.acc_seg: 92.2514, loss: 0.1874 +2023-03-05 05:40:27,555 - mmseg - INFO - Iter [79600/160000] lr: 1.875e-05, eta: 5:13:15, time: 0.194, data_time: 0.008, memory: 52540, decode.loss_ce: 0.1879, decode.acc_seg: 92.2930, loss: 0.1879 +2023-03-05 05:40:37,138 - mmseg - INFO - Iter [79650/160000] lr: 1.875e-05, eta: 5:13:01, time: 0.192, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1877, decode.acc_seg: 92.3594, loss: 0.1877 +2023-03-05 05:40:46,912 - mmseg - INFO - Iter [79700/160000] lr: 1.875e-05, eta: 5:12:48, time: 0.195, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1820, decode.acc_seg: 92.4321, loss: 0.1820 +2023-03-05 05:40:56,734 - mmseg - INFO - Iter [79750/160000] lr: 1.875e-05, eta: 5:12:34, time: 0.196, data_time: 0.008, memory: 52540, decode.loss_ce: 0.1860, decode.acc_seg: 92.4491, loss: 0.1860 +2023-03-05 05:41:06,301 - mmseg - INFO - Iter [79800/160000] lr: 1.875e-05, eta: 5:12:20, time: 0.191, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1859, decode.acc_seg: 92.3240, loss: 0.1859 +2023-03-05 05:41:16,107 - mmseg - INFO - Iter [79850/160000] lr: 1.875e-05, eta: 5:12:07, time: 0.196, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1921, decode.acc_seg: 92.1032, loss: 0.1921 +2023-03-05 05:41:25,921 - mmseg - INFO - Iter [79900/160000] lr: 1.875e-05, eta: 5:11:53, time: 0.197, data_time: 0.008, memory: 52540, decode.loss_ce: 0.1873, decode.acc_seg: 92.3180, loss: 0.1873 +2023-03-05 05:41:35,999 - mmseg - INFO - Iter [79950/160000] lr: 1.875e-05, eta: 5:11:40, time: 0.202, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1872, decode.acc_seg: 92.1932, loss: 0.1872 +2023-03-05 05:41:45,552 - mmseg - INFO - Swap parameters (after train) after iter [80000] +2023-03-05 05:41:45,565 - mmseg - INFO - Saving checkpoint at 80000 iterations +2023-03-05 05:41:46,608 - mmseg - INFO - Exp name: ablation_segformer_mit_b2_segformer_head_unet_fc_small_multi_step_ade_pretrained_freeze_embed_160k_ade20k151_mask_finetune_maskreplace.py +2023-03-05 05:41:46,609 - mmseg - INFO - Iter [80000/160000] lr: 1.875e-05, eta: 5:11:27, time: 0.212, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1919, decode.acc_seg: 92.0510, loss: 0.1919 +2023-03-05 05:52:47,377 - mmseg - INFO - per class results: +2023-03-05 05:52:47,386 - mmseg - INFO - ++---------------------+-------------------------------------------------------------------+ +| Class | IoU 0,10,20,30,40,50,60,70,80,90,99 | ++---------------------+-------------------------------------------------------------------+ +| background | nan,nan,nan,nan,nan,nan,nan,nan,nan,nan,nan | +| wall | 77.45,77.47,77.48,77.52,77.54,77.57,77.6,77.61,77.62,77.63,77.63 | +| building | 81.67,81.68,81.7,81.69,81.7,81.71,81.71,81.71,81.71,81.71,81.71 | +| sky | 94.48,94.49,94.49,94.5,94.51,94.5,94.51,94.52,94.52,94.53,94.52 | +| floor | 81.65,81.66,81.67,81.69,81.71,81.71,81.72,81.75,81.75,81.77,81.78 | +| tree | 74.16,74.2,74.22,74.24,74.25,74.27,74.3,74.31,74.31,74.32,74.32 | +| ceiling | 85.05,85.11,85.13,85.18,85.23,85.25,85.25,85.26,85.26,85.3,85.27 | +| road | 82.23,82.26,82.26,82.28,82.28,82.31,82.32,82.33,82.33,82.32,82.27 | +| bed | 87.85,87.86,87.88,87.91,87.94,87.95,87.98,87.99,88.01,88.01,88.01 | +| windowpane | 60.48,60.5,60.5,60.49,60.52,60.55,60.57,60.59,60.61,60.6,60.61 | +| grass | 66.87,66.9,66.92,66.98,66.95,66.98,67.04,67.03,67.01,67.0,66.99 | +| cabinet | 60.33,60.41,60.47,60.54,60.6,60.71,60.78,60.86,60.93,60.99,61.03 | +| sidewalk | 64.62,64.64,64.66,64.68,64.66,64.65,64.63,64.64,64.64,64.62,64.52 | +| person | 79.74,79.78,79.83,79.83,79.84,79.86,79.88,79.89,79.88,79.88,79.9 | +| earth | 35.75,35.82,35.82,35.81,35.8,35.84,35.8,35.78,35.78,35.78,35.86 | +| door | 46.55,46.54,46.58,46.6,46.52,46.53,46.66,46.63,46.62,46.62,46.61 | +| table | 61.01,61.04,61.04,61.03,61.04,61.02,61.08,61.03,60.99,61.0,61.01 | +| mountain | 56.5,56.51,56.6,56.69,56.79,56.91,57.01,57.08,57.12,57.13,57.01 | +| plant | 49.47,49.48,49.48,49.46,49.48,49.51,49.52,49.52,49.58,49.59,49.65 | +| curtain | 73.87,73.92,73.96,73.94,74.02,74.08,74.16,74.27,74.26,74.3,74.31 | +| chair | 56.51,56.53,56.54,56.57,56.56,56.55,56.57,56.54,56.55,56.56,56.51 | +| car | 81.75,81.78,81.82,81.82,81.84,81.92,81.96,81.94,81.99,82.0,81.99 | +| water | 57.56,57.51,57.5,57.45,57.4,57.3,57.22,57.09,56.87,56.77,56.57 | +| painting | 70.33,70.28,70.26,70.26,70.18,70.16,70.14,70.11,70.13,70.08,70.09 | +| sofa | 64.47,64.58,64.67,64.76,64.72,64.73,64.68,64.73,64.73,64.8,64.88 | +| shelf | 44.25,44.29,44.27,44.38,44.35,44.41,44.42,44.39,44.41,44.42,44.48 | +| house | 42.52,42.68,42.8,42.81,42.77,42.77,42.89,42.96,42.93,42.92,42.81 | +| sea | 59.95,59.86,59.86,59.75,59.67,59.55,59.42,59.24,58.93,58.8,58.67 | +| mirror | 66.06,66.06,66.01,66.1,66.05,66.19,66.4,66.49,66.49,66.46,66.48 | +| rug | 64.44,64.48,64.49,64.53,64.6,64.62,64.61,64.71,64.7,64.81,64.83 | +| field | 30.06,30.04,30.07,30.07,30.07,30.08,30.12,30.14,30.15,30.16,30.18 | +| armchair | 37.82,37.87,37.9,37.9,37.8,37.78,37.82,37.88,37.96,37.98,38.11 | +| seat | 66.1,66.19,66.28,66.35,66.35,66.38,66.44,66.49,66.47,66.49,66.54 | +| fence | 41.08,41.14,41.1,41.18,41.18,41.14,41.26,41.18,41.22,41.26,41.27 | +| desk | 47.0,47.09,47.18,47.29,47.5,47.55,47.64,47.69,47.79,47.85,47.92 | +| rock | 36.95,36.95,36.91,36.94,36.96,36.94,36.99,36.96,37.01,37.04,37.01 | +| wardrobe | 56.68,56.73,56.67,56.66,56.6,56.52,56.44,56.47,56.41,56.4,56.38 | +| lamp | 62.17,62.2,62.18,62.28,62.24,62.18,62.16,62.12,62.01,62.0,62.08 | +| bathtub | 77.13,77.19,77.24,77.3,77.24,77.42,77.26,77.34,77.36,77.42,77.54 | +| railing | 33.2,33.25,33.29,33.25,33.27,33.25,33.26,33.22,33.14,33.17,33.14 | +| cushion | 56.79,56.84,56.99,57.09,57.11,57.21,57.34,57.29,57.34,57.36,57.39 | +| base | 21.34,21.52,21.71,21.79,21.82,21.87,21.97,22.02,21.98,21.93,22.04 | +| box | 23.7,23.79,23.98,24.14,24.35,24.37,24.46,24.54,24.6,24.65,24.62 | +| column | 46.11,46.2,46.31,46.38,46.44,46.56,46.78,46.92,46.97,46.99,46.98 | +| signboard | 37.85,37.84,37.81,37.87,37.8,37.8,37.8,37.73,37.76,37.7,37.74 | +| chest of drawers | 36.61,36.6,36.56,36.48,36.72,36.71,36.72,36.62,36.61,36.61,36.82 | +| counter | 32.03,32.01,32.04,32.1,31.99,31.98,31.94,31.87,31.89,31.83,31.88 | +| sand | 44.8,44.68,44.59,44.44,44.42,44.27,44.25,44.32,44.23,45.0,45.47 | +| sink | 68.27,68.21,68.16,68.15,68.08,68.14,68.14,68.06,68.08,68.08,68.12 | +| skyscraper | 51.92,51.42,50.96,50.51,50.23,50.24,49.88,49.73,49.61,49.46,49.73 | +| fireplace | 74.9,75.19,75.48,75.71,75.9,76.01,75.98,76.19,76.35,76.43,76.45 | +| refrigerator | 75.04,75.17,75.23,75.27,75.51,75.5,75.47,75.48,75.63,75.56,75.05 | +| grandstand | 52.72,52.86,52.9,53.12,53.25,53.3,53.37,53.57,53.51,53.63,53.77 | +| path | 22.3,22.41,22.49,22.52,22.54,22.66,22.65,22.77,22.85,22.84,22.89 | +| stairs | 32.71,32.58,32.35,32.21,32.22,32.15,32.04,32.03,31.98,31.98,31.92 | +| runway | 67.82,67.83,67.87,67.88,67.91,67.91,67.93,67.94,67.95,67.92,67.94 | +| case | 47.77,47.96,48.15,48.24,48.31,48.44,48.52,48.67,48.68,48.71,48.77 | +| pool table | 91.29,91.3,91.31,91.34,91.36,91.38,91.41,91.46,91.43,91.45,91.44 | +| pillow | 60.96,61.03,61.42,61.54,61.77,61.81,61.97,62.0,62.05,61.96,62.01 | +| screen door | 69.63,69.54,69.27,69.31,69.34,69.29,69.28,69.17,69.18,69.26,69.39 | +| stairway | 23.89,23.83,23.8,23.66,23.59,23.5,23.43,23.37,23.28,23.19,23.22 | +| river | 12.17,12.17,12.15,12.15,12.12,12.12,12.12,12.07,12.06,12.04,12.06 | +| bridge | 31.13,31.34,31.42,31.57,31.6,31.7,31.62,31.68,31.54,31.48,31.51 | +| bookcase | 48.18,48.21,48.37,48.49,48.58,48.58,48.72,48.84,48.86,48.82,48.78 | +| blind | 39.8,39.68,39.61,39.39,39.57,39.71,39.7,39.91,40.02,40.13,40.16 | +| coffee table | 52.16,52.15,52.14,52.2,52.09,52.08,52.03,52.0,52.02,51.97,52.01 | +| toilet | 83.59,83.56,83.55,83.53,83.46,83.54,83.52,83.45,83.46,83.45,83.45 | +| flower | 38.56,38.61,38.54,38.63,38.65,38.65,38.64,38.65,38.65,38.63,38.69 | +| book | 46.18,46.1,46.07,46.05,45.97,45.9,45.78,45.65,45.55,45.46,45.55 | +| hill | 15.95,16.07,16.0,16.03,16.05,15.94,16.1,16.13,16.05,16.07,16.25 | +| bench | 43.66,43.56,43.54,43.45,43.17,43.07,42.95,42.83,42.76,42.81,42.87 | +| countertop | 54.24,54.24,54.33,54.26,54.41,54.39,54.5,54.48,54.47,54.47,54.75 | +| stove | 71.34,71.31,71.24,71.18,71.08,71.02,70.89,70.62,70.54,70.41,70.35 | +| palm | 47.79,47.79,47.85,47.89,47.93,47.93,47.94,48.01,48.07,48.05,48.04 | +| kitchen island | 44.3,44.54,44.48,44.79,44.69,44.99,45.08,45.4,45.5,45.64,45.26 | +| computer | 59.9,59.92,59.88,59.89,59.81,59.84,59.96,59.9,60.01,60.06,60.05 | +| swivel chair | 44.07,44.11,44.17,44.24,44.18,44.02,44.12,44.09,44.09,44.09,43.9 | +| boat | 70.99,71.06,71.28,71.34,71.39,71.43,71.58,71.69,71.68,71.79,71.83 | +| bar | 23.8,23.9,23.96,24.01,24.11,24.1,24.12,24.18,24.18,24.16,24.24 | +| arcade machine | 71.79,72.02,72.2,72.23,72.3,72.49,72.31,72.91,72.97,73.07,73.4 | +| hovel | 31.33,31.19,30.94,30.59,30.24,29.69,29.45,29.44,29.06,28.27,28.56 | +| bus | 77.26,77.42,77.5,77.56,77.66,77.81,77.75,77.84,77.94,78.04,78.04 | +| towel | 64.15,64.16,64.3,64.39,64.43,64.45,64.47,64.56,64.63,64.59,64.52 | +| light | 55.72,55.88,55.94,56.01,56.08,56.11,56.12,56.18,56.18,56.23,56.14 | +| truck | 17.79,17.72,17.77,17.79,17.79,17.76,17.86,17.96,17.95,17.92,17.91 | +| tower | 6.63,6.71,6.93,6.92,7.2,7.56,7.53,7.64,7.74,7.89,6.94 | +| chandelier | 65.6,65.76,65.79,65.77,65.83,65.81,65.82,65.93,66.0,66.01,66.06 | +| awning | 23.5,23.62,23.7,23.85,23.91,23.95,24.11,24.1,24.12,24.01,24.09 | +| streetlight | 27.5,27.48,27.41,27.47,27.53,27.44,27.54,27.44,27.48,27.48,27.58 | +| booth | 45.25,45.48,45.44,45.82,45.72,46.01,46.05,46.42,47.18,47.24,47.35 | +| television receiver | 64.93,64.97,64.91,64.87,64.92,64.96,64.91,64.85,64.87,64.85,64.82 | +| airplane | 58.66,58.62,58.71,58.69,58.66,58.58,58.65,58.71,58.65,58.69,58.73 | +| dirt track | 20.48,20.58,20.56,20.6,20.82,20.93,21.05,20.99,21.01,21.01,20.84 | +| apparel | 34.82,35.02,35.08,35.17,35.3,35.45,35.49,35.73,35.78,35.89,36.26 | +| pole | 17.72,17.71,17.77,17.93,18.1,18.07,18.03,18.07,18.06,17.9,17.99 | +| land | 4.57,4.49,4.45,4.39,4.37,4.14,4.07,4.04,4.0,4.01,4.15 | +| bannister | 12.55,12.66,12.63,12.85,12.83,12.71,12.67,12.65,12.53,12.53,12.63 | +| escalator | 25.09,25.07,25.05,25.05,25.06,25.02,25.07,25.07,25.04,25.08,25.05 | +| ottoman | 44.48,44.54,44.55,44.79,44.82,44.74,44.91,44.71,44.77,44.57,44.13 | +| bottle | 36.55,36.56,36.49,36.53,36.52,36.59,36.52,36.55,36.55,36.65,36.61 | +| buffet | 38.0,38.58,39.31,39.79,40.66,40.84,40.99,41.18,41.21,41.52,41.78 | +| poster | 24.3,24.3,24.31,24.3,24.33,24.33,24.34,24.32,24.18,24.22,24.4 | +| stage | 14.59,14.58,14.59,14.59,14.65,14.66,14.68,14.69,14.66,14.68,14.46 | +| van | 38.35,38.41,38.49,38.57,38.61,38.64,38.61,38.7,38.73,38.79,38.69 | +| ship | 81.36,81.59,81.67,81.73,81.84,81.97,82.16,82.24,82.38,82.42,82.53 | +| fountain | 19.53,20.15,20.78,21.27,21.5,21.73,21.89,22.11,22.18,22.36,22.52 | +| conveyer belt | 85.45,85.48,85.45,85.29,85.27,85.12,85.17,85.03,84.95,84.95,84.72 | +| canopy | 23.82,24.08,24.21,24.22,24.34,24.32,24.3,24.35,24.22,24.22,24.18 | +| washer | 74.62,74.63,74.68,74.55,74.69,74.75,75.04,75.19,75.17,75.12,75.4 | +| plaything | 21.67,21.76,21.8,21.81,21.74,21.91,21.88,21.87,21.81,21.81,21.74 | +| swimming pool | 73.92,74.16,74.51,74.72,75.05,75.11,75.35,75.36,75.54,75.7,75.77 | +| stool | 44.99,45.03,45.1,45.07,45.1,45.18,45.1,45.04,44.98,44.93,44.93 | +| barrel | 51.71,52.7,52.71,54.17,55.1,55.33,55.71,56.22,56.57,57.41,58.12 | +| basket | 24.44,24.49,24.5,24.62,24.42,24.52,24.43,24.43,24.42,24.34,24.42 | +| waterfall | 49.86,49.76,49.65,49.68,49.6,49.68,49.48,49.55,49.6,49.6,49.57 | +| tent | 95.19,95.26,95.31,95.23,95.3,95.37,95.4,95.38,95.41,95.39,95.37 | +| bag | 14.19,14.19,14.2,14.29,14.33,14.33,14.24,14.33,14.36,14.43,14.38 | +| minibike | 63.58,63.51,63.5,63.47,63.55,63.45,63.35,63.18,63.14,63.11,63.03 | +| cradle | 85.05,85.18,85.23,85.41,85.43,85.42,85.5,85.64,85.69,85.71,85.73 | +| oven | 47.19,47.21,47.17,47.26,47.12,47.1,47.4,47.26,47.32,47.34,47.6 | +| ball | 42.58,42.71,43.05,43.25,43.31,43.4,43.77,43.94,44.12,44.32,44.67 | +| food | 53.53,53.39,53.37,53.27,53.25,53.15,53.14,53.0,52.88,52.88,52.92 | +| step | 5.38,5.37,5.54,5.53,5.72,5.39,5.39,5.53,5.45,5.54,5.34 | +| tank | 51.53,51.6,51.82,51.95,52.23,52.07,52.1,52.67,53.08,53.28,53.33 | +| trade name | 27.96,28.1,28.09,28.27,28.18,28.27,28.3,28.31,28.4,28.14,28.17 | +| microwave | 71.59,71.68,71.82,71.92,71.97,72.01,72.1,72.32,72.39,72.44,72.56 | +| pot | 30.31,30.36,30.5,30.54,30.56,30.7,30.63,30.58,30.65,30.77,30.64 | +| animal | 54.16,54.24,54.2,54.29,54.38,54.32,54.35,54.43,54.43,54.46,54.46 | +| bicycle | 54.35,54.58,54.66,54.83,54.87,55.08,55.12,55.33,55.31,55.36,55.36 | +| lake | 57.45,57.47,57.51,57.55,57.53,57.54,57.56,57.58,57.58,57.62,57.59 | +| dishwasher | 66.28,66.75,66.81,67.03,67.1,67.17,67.47,67.5,67.14,66.66,66.11 | +| screen | 69.46,69.6,69.92,69.84,70.09,70.27,70.35,70.45,70.13,70.25,70.12 | +| blanket | 19.65,19.85,19.93,20.03,20.07,20.08,20.23,20.24,20.33,20.35,20.38 | +| sculpture | 57.33,57.27,57.22,57.15,57.43,57.53,57.55,57.59,57.59,57.63,57.88 | +| hood | 60.7,60.84,60.86,60.84,61.1,61.02,61.09,60.93,61.01,61.04,61.05 | +| sconce | 42.11,42.23,42.26,42.45,42.42,42.61,42.57,42.73,42.93,42.91,43.06 | +| vase | 36.94,37.3,37.55,37.59,37.88,37.9,38.12,38.2,38.16,38.25,38.26 | +| traffic light | 32.13,32.32,32.32,32.29,32.65,32.58,32.67,32.62,32.61,32.52,32.55 | +| tray | 8.04,8.09,8.13,8.17,8.01,8.04,7.86,7.98,8.16,7.96,8.25 | +| ashcan | 40.98,41.11,41.17,41.32,41.26,41.41,41.45,41.37,41.4,41.44,41.51 | +| fan | 57.98,58.02,58.04,58.2,58.36,58.52,58.5,58.33,58.25,58.18,58.32 | +| pier | 49.36,49.53,50.04,50.24,50.49,50.42,50.32,50.91,50.69,50.89,51.07 | +| crt screen | 9.22,9.22,9.23,9.32,9.29,9.38,9.33,9.43,9.41,9.4,9.42 | +| plate | 52.88,52.89,52.94,52.86,52.92,52.87,52.89,52.88,52.76,52.85,52.73 | +| monitor | 28.67,28.45,28.37,28.26,27.94,27.63,27.48,26.96,26.54,26.03,25.45 | +| bulletin board | 38.68,38.51,38.41,38.62,38.7,38.26,38.78,38.38,38.45,38.34,38.31 | +| shower | 1.89,1.88,1.9,1.92,1.92,1.95,1.96,1.99,1.99,2.01,2.01 | +| radiator | 63.18,63.32,63.34,63.73,63.86,63.89,63.76,63.82,64.14,64.03,64.27 | +| glass | 13.87,13.76,13.71,13.73,13.75,13.66,13.68,13.65,13.61,13.58,13.55 | +| clock | 36.28,36.28,36.3,36.03,36.13,35.98,35.79,35.82,35.56,35.63,35.22 | +| flag | 36.34,36.24,36.18,36.01,35.95,35.86,35.71,35.74,35.74,35.79,35.74 | ++---------------------+-------------------------------------------------------------------+ +2023-03-05 05:52:47,386 - mmseg - INFO - Summary: +2023-03-05 05:52:47,386 - mmseg - INFO - ++-------------------------------------------------------------------+ +| mIoU 0,10,20,30,40,50,60,70,80,90,99 | ++-------------------------------------------------------------------+ +| 48.87,48.93,48.97,49.03,49.07,49.08,49.11,49.14,49.14,49.15,49.17 | ++-------------------------------------------------------------------+ +2023-03-05 05:52:47,420 - mmseg - INFO - The previous best checkpoint /mnt/petrelfs/laizeqiang/mmseg-baseline/work_dirs2/ablation_segformer_mit_b2_segformer_head_unet_fc_small_multi_step_ade_pretrained_freeze_embed_160k_ade20k151_mask_finetune_maskreplace/best_mIoU_iter_64000.pth was removed +2023-03-05 05:52:48,352 - mmseg - INFO - Now best checkpoint is saved as best_mIoU_iter_80000.pth. +2023-03-05 05:52:48,353 - mmseg - INFO - Best mIoU is 0.4917 at 80000 iter. +2023-03-05 05:52:48,353 - mmseg - INFO - Exp name: ablation_segformer_mit_b2_segformer_head_unet_fc_small_multi_step_ade_pretrained_freeze_embed_160k_ade20k151_mask_finetune_maskreplace.py +2023-03-05 05:52:48,353 - mmseg - INFO - Iter(val) [250] mIoU: [0.4887, 0.4893, 0.4897, 0.4903, 0.4907, 0.4908, 0.4911, 0.4914, 0.4914, 0.4915, 0.4917], copy_paste: 48.87,48.93,48.97,49.03,49.07,49.08,49.11,49.14,49.14,49.15,49.17 +2023-03-05 05:52:48,359 - mmseg - INFO - Swap parameters (before train) before iter [80001] +2023-03-05 05:52:58,356 - mmseg - INFO - Iter [80050/160000] lr: 9.375e-06, eta: 5:22:15, time: 13.435, data_time: 13.243, memory: 52540, decode.loss_ce: 0.1878, decode.acc_seg: 92.2253, loss: 0.1878 +2023-03-05 05:53:08,009 - mmseg - INFO - Iter [80100/160000] lr: 9.375e-06, eta: 5:22:00, time: 0.193, data_time: 0.008, memory: 52540, decode.loss_ce: 0.1891, decode.acc_seg: 92.2040, loss: 0.1891 +2023-03-05 05:53:20,349 - mmseg - INFO - Iter [80150/160000] lr: 9.375e-06, eta: 5:21:48, time: 0.247, data_time: 0.057, memory: 52540, decode.loss_ce: 0.1851, decode.acc_seg: 92.5222, loss: 0.1851 +2023-03-05 05:53:29,993 - mmseg - INFO - Iter [80200/160000] lr: 9.375e-06, eta: 5:21:34, time: 0.193, data_time: 0.008, memory: 52540, decode.loss_ce: 0.1836, decode.acc_seg: 92.2733, loss: 0.1836 +2023-03-05 05:53:40,222 - mmseg - INFO - Iter [80250/160000] lr: 9.375e-06, eta: 5:21:20, time: 0.205, data_time: 0.008, memory: 52540, decode.loss_ce: 0.1858, decode.acc_seg: 92.3515, loss: 0.1858 +2023-03-05 05:53:49,972 - mmseg - INFO - Iter [80300/160000] lr: 9.375e-06, eta: 5:21:05, time: 0.195, data_time: 0.008, memory: 52540, decode.loss_ce: 0.1825, decode.acc_seg: 92.5276, loss: 0.1825 +2023-03-05 05:53:59,663 - mmseg - INFO - Iter [80350/160000] lr: 9.375e-06, eta: 5:20:51, time: 0.194, data_time: 0.008, memory: 52540, decode.loss_ce: 0.1913, decode.acc_seg: 92.3464, loss: 0.1913 +2023-03-05 05:54:09,330 - mmseg - INFO - Iter [80400/160000] lr: 9.375e-06, eta: 5:20:36, time: 0.193, data_time: 0.008, memory: 52540, decode.loss_ce: 0.1919, decode.acc_seg: 92.1033, loss: 0.1919 +2023-03-05 05:54:19,214 - mmseg - INFO - Iter [80450/160000] lr: 9.375e-06, eta: 5:20:22, time: 0.198, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1765, decode.acc_seg: 92.7667, loss: 0.1765 +2023-03-05 05:54:28,848 - mmseg - INFO - Iter [80500/160000] lr: 9.375e-06, eta: 5:20:08, time: 0.193, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1907, decode.acc_seg: 92.1251, loss: 0.1907 +2023-03-05 05:54:38,452 - mmseg - INFO - Iter [80550/160000] lr: 9.375e-06, eta: 5:19:53, time: 0.192, data_time: 0.008, memory: 52540, decode.loss_ce: 0.1852, decode.acc_seg: 92.3523, loss: 0.1852 +2023-03-05 05:54:48,121 - mmseg - INFO - Iter [80600/160000] lr: 9.375e-06, eta: 5:19:39, time: 0.194, data_time: 0.008, memory: 52540, decode.loss_ce: 0.1795, decode.acc_seg: 92.6118, loss: 0.1795 +2023-03-05 05:54:58,196 - mmseg - INFO - Iter [80650/160000] lr: 9.375e-06, eta: 5:19:25, time: 0.202, data_time: 0.008, memory: 52540, decode.loss_ce: 0.1863, decode.acc_seg: 92.4003, loss: 0.1863 +2023-03-05 05:55:07,845 - mmseg - INFO - Iter [80700/160000] lr: 9.375e-06, eta: 5:19:10, time: 0.193, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1944, decode.acc_seg: 92.1336, loss: 0.1944 +2023-03-05 05:55:17,464 - mmseg - INFO - Iter [80750/160000] lr: 9.375e-06, eta: 5:18:56, time: 0.192, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1931, decode.acc_seg: 92.1973, loss: 0.1931 +2023-03-05 05:55:29,598 - mmseg - INFO - Iter [80800/160000] lr: 9.375e-06, eta: 5:18:44, time: 0.242, data_time: 0.056, memory: 52540, decode.loss_ce: 0.1884, decode.acc_seg: 92.1718, loss: 0.1884 +2023-03-05 05:55:39,263 - mmseg - INFO - Iter [80850/160000] lr: 9.375e-06, eta: 5:18:29, time: 0.194, data_time: 0.008, memory: 52540, decode.loss_ce: 0.1826, decode.acc_seg: 92.5537, loss: 0.1826 +2023-03-05 05:55:48,754 - mmseg - INFO - Iter [80900/160000] lr: 9.375e-06, eta: 5:18:15, time: 0.190, data_time: 0.008, memory: 52540, decode.loss_ce: 0.1835, decode.acc_seg: 92.4190, loss: 0.1835 +2023-03-05 05:55:58,451 - mmseg - INFO - Iter [80950/160000] lr: 9.375e-06, eta: 5:18:00, time: 0.194, data_time: 0.008, memory: 52540, decode.loss_ce: 0.1827, decode.acc_seg: 92.5496, loss: 0.1827 +2023-03-05 05:56:08,196 - mmseg - INFO - Exp name: ablation_segformer_mit_b2_segformer_head_unet_fc_small_multi_step_ade_pretrained_freeze_embed_160k_ade20k151_mask_finetune_maskreplace.py +2023-03-05 05:56:08,196 - mmseg - INFO - Iter [81000/160000] lr: 9.375e-06, eta: 5:17:46, time: 0.195, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1855, decode.acc_seg: 92.3838, loss: 0.1855 +2023-03-05 05:56:18,091 - mmseg - INFO - Iter [81050/160000] lr: 9.375e-06, eta: 5:17:32, time: 0.198, data_time: 0.008, memory: 52540, decode.loss_ce: 0.1876, decode.acc_seg: 92.3051, loss: 0.1876 +2023-03-05 05:56:27,717 - mmseg - INFO - Iter [81100/160000] lr: 9.375e-06, eta: 5:17:17, time: 0.193, data_time: 0.008, memory: 52540, decode.loss_ce: 0.1835, decode.acc_seg: 92.5028, loss: 0.1835 +2023-03-05 05:56:37,273 - mmseg - INFO - Iter [81150/160000] lr: 9.375e-06, eta: 5:17:03, time: 0.191, data_time: 0.008, memory: 52540, decode.loss_ce: 0.1876, decode.acc_seg: 92.3151, loss: 0.1876 +2023-03-05 05:56:47,101 - mmseg - INFO - Iter [81200/160000] lr: 9.375e-06, eta: 5:16:49, time: 0.197, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1893, decode.acc_seg: 92.2906, loss: 0.1893 +2023-03-05 05:56:56,952 - mmseg - INFO - Iter [81250/160000] lr: 9.375e-06, eta: 5:16:34, time: 0.197, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1840, decode.acc_seg: 92.2929, loss: 0.1840 +2023-03-05 05:57:06,762 - mmseg - INFO - Iter [81300/160000] lr: 9.375e-06, eta: 5:16:20, time: 0.196, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1823, decode.acc_seg: 92.4917, loss: 0.1823 +2023-03-05 05:57:16,464 - mmseg - INFO - Iter [81350/160000] lr: 9.375e-06, eta: 5:16:06, time: 0.194, data_time: 0.008, memory: 52540, decode.loss_ce: 0.1920, decode.acc_seg: 92.1818, loss: 0.1920 +2023-03-05 05:57:28,621 - mmseg - INFO - Iter [81400/160000] lr: 9.375e-06, eta: 5:15:54, time: 0.243, data_time: 0.058, memory: 52540, decode.loss_ce: 0.1846, decode.acc_seg: 92.3283, loss: 0.1846 +2023-03-05 05:57:38,316 - mmseg - INFO - Iter [81450/160000] lr: 9.375e-06, eta: 5:15:39, time: 0.194, data_time: 0.008, memory: 52540, decode.loss_ce: 0.1841, decode.acc_seg: 92.4659, loss: 0.1841 +2023-03-05 05:57:48,025 - mmseg - INFO - Iter [81500/160000] lr: 9.375e-06, eta: 5:15:25, time: 0.194, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1849, decode.acc_seg: 92.4887, loss: 0.1849 +2023-03-05 05:57:57,863 - mmseg - INFO - Iter [81550/160000] lr: 9.375e-06, eta: 5:15:11, time: 0.197, data_time: 0.008, memory: 52540, decode.loss_ce: 0.1813, decode.acc_seg: 92.3894, loss: 0.1813 +2023-03-05 05:58:07,890 - mmseg - INFO - Iter [81600/160000] lr: 9.375e-06, eta: 5:14:57, time: 0.201, data_time: 0.008, memory: 52540, decode.loss_ce: 0.1897, decode.acc_seg: 92.1146, loss: 0.1897 +2023-03-05 05:58:17,774 - mmseg - INFO - Iter [81650/160000] lr: 9.375e-06, eta: 5:14:43, time: 0.198, data_time: 0.008, memory: 52540, decode.loss_ce: 0.1872, decode.acc_seg: 92.4014, loss: 0.1872 +2023-03-05 05:58:27,302 - mmseg - INFO - Iter [81700/160000] lr: 9.375e-06, eta: 5:14:28, time: 0.191, data_time: 0.008, memory: 52540, decode.loss_ce: 0.1803, decode.acc_seg: 92.5463, loss: 0.1803 +2023-03-05 05:58:36,948 - mmseg - INFO - Iter [81750/160000] lr: 9.375e-06, eta: 5:14:14, time: 0.193, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1905, decode.acc_seg: 91.9947, loss: 0.1905 +2023-03-05 05:58:46,549 - mmseg - INFO - Iter [81800/160000] lr: 9.375e-06, eta: 5:14:00, time: 0.192, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1867, decode.acc_seg: 92.4385, loss: 0.1867 +2023-03-05 05:58:56,380 - mmseg - INFO - Iter [81850/160000] lr: 9.375e-06, eta: 5:13:45, time: 0.197, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1959, decode.acc_seg: 92.0347, loss: 0.1959 +2023-03-05 05:59:05,987 - mmseg - INFO - Iter [81900/160000] lr: 9.375e-06, eta: 5:13:31, time: 0.192, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1867, decode.acc_seg: 92.2198, loss: 0.1867 +2023-03-05 05:59:15,811 - mmseg - INFO - Iter [81950/160000] lr: 9.375e-06, eta: 5:13:17, time: 0.196, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1920, decode.acc_seg: 91.9810, loss: 0.1920 +2023-03-05 05:59:25,684 - mmseg - INFO - Exp name: ablation_segformer_mit_b2_segformer_head_unet_fc_small_multi_step_ade_pretrained_freeze_embed_160k_ade20k151_mask_finetune_maskreplace.py +2023-03-05 05:59:25,684 - mmseg - INFO - Iter [82000/160000] lr: 9.375e-06, eta: 5:13:03, time: 0.197, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1832, decode.acc_seg: 92.5039, loss: 0.1832 +2023-03-05 05:59:37,736 - mmseg - INFO - Iter [82050/160000] lr: 9.375e-06, eta: 5:12:51, time: 0.241, data_time: 0.056, memory: 52540, decode.loss_ce: 0.1943, decode.acc_seg: 92.0682, loss: 0.1943 +2023-03-05 05:59:47,546 - mmseg - INFO - Iter [82100/160000] lr: 9.375e-06, eta: 5:12:37, time: 0.196, data_time: 0.008, memory: 52540, decode.loss_ce: 0.1936, decode.acc_seg: 92.1504, loss: 0.1936 +2023-03-05 05:59:57,365 - mmseg - INFO - Iter [82150/160000] lr: 9.375e-06, eta: 5:12:22, time: 0.196, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1885, decode.acc_seg: 92.1238, loss: 0.1885 +2023-03-05 06:00:07,092 - mmseg - INFO - Iter [82200/160000] lr: 9.375e-06, eta: 5:12:08, time: 0.195, data_time: 0.008, memory: 52540, decode.loss_ce: 0.1807, decode.acc_seg: 92.5531, loss: 0.1807 +2023-03-05 06:00:16,596 - mmseg - INFO - Iter [82250/160000] lr: 9.375e-06, eta: 5:11:54, time: 0.190, data_time: 0.008, memory: 52540, decode.loss_ce: 0.1925, decode.acc_seg: 92.0629, loss: 0.1925 +2023-03-05 06:00:26,417 - mmseg - INFO - Iter [82300/160000] lr: 9.375e-06, eta: 5:11:40, time: 0.196, data_time: 0.008, memory: 52540, decode.loss_ce: 0.1850, decode.acc_seg: 92.5085, loss: 0.1850 +2023-03-05 06:00:36,011 - mmseg - INFO - Iter [82350/160000] lr: 9.375e-06, eta: 5:11:25, time: 0.192, data_time: 0.008, memory: 52540, decode.loss_ce: 0.1896, decode.acc_seg: 92.1856, loss: 0.1896 +2023-03-05 06:00:45,662 - mmseg - INFO - Iter [82400/160000] lr: 9.375e-06, eta: 5:11:11, time: 0.193, data_time: 0.008, memory: 52540, decode.loss_ce: 0.1793, decode.acc_seg: 92.6142, loss: 0.1793 +2023-03-05 06:00:55,427 - mmseg - INFO - Iter [82450/160000] lr: 9.375e-06, eta: 5:10:57, time: 0.195, data_time: 0.008, memory: 52540, decode.loss_ce: 0.1806, decode.acc_seg: 92.5696, loss: 0.1806 +2023-03-05 06:01:05,133 - mmseg - INFO - Iter [82500/160000] lr: 9.375e-06, eta: 5:10:43, time: 0.194, data_time: 0.008, memory: 52540, decode.loss_ce: 0.1830, decode.acc_seg: 92.4809, loss: 0.1830 +2023-03-05 06:01:15,294 - mmseg - INFO - Iter [82550/160000] lr: 9.375e-06, eta: 5:10:29, time: 0.203, data_time: 0.008, memory: 52540, decode.loss_ce: 0.1859, decode.acc_seg: 92.3068, loss: 0.1859 +2023-03-05 06:01:25,017 - mmseg - INFO - Iter [82600/160000] lr: 9.375e-06, eta: 5:10:15, time: 0.194, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1864, decode.acc_seg: 92.4159, loss: 0.1864 +2023-03-05 06:01:34,584 - mmseg - INFO - Iter [82650/160000] lr: 9.375e-06, eta: 5:10:00, time: 0.191, data_time: 0.008, memory: 52540, decode.loss_ce: 0.1807, decode.acc_seg: 92.5219, loss: 0.1807 +2023-03-05 06:01:46,896 - mmseg - INFO - Iter [82700/160000] lr: 9.375e-06, eta: 5:09:49, time: 0.246, data_time: 0.056, memory: 52540, decode.loss_ce: 0.1866, decode.acc_seg: 92.3695, loss: 0.1866 +2023-03-05 06:01:56,639 - mmseg - INFO - Iter [82750/160000] lr: 9.375e-06, eta: 5:09:34, time: 0.195, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1879, decode.acc_seg: 92.1419, loss: 0.1879 +2023-03-05 06:02:06,270 - mmseg - INFO - Iter [82800/160000] lr: 9.375e-06, eta: 5:09:20, time: 0.193, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1849, decode.acc_seg: 92.3041, loss: 0.1849 +2023-03-05 06:02:16,015 - mmseg - INFO - Iter [82850/160000] lr: 9.375e-06, eta: 5:09:06, time: 0.195, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1832, decode.acc_seg: 92.5456, loss: 0.1832 +2023-03-05 06:02:25,888 - mmseg - INFO - Iter [82900/160000] lr: 9.375e-06, eta: 5:08:52, time: 0.197, data_time: 0.008, memory: 52540, decode.loss_ce: 0.1799, decode.acc_seg: 92.5079, loss: 0.1799 +2023-03-05 06:02:35,791 - mmseg - INFO - Iter [82950/160000] lr: 9.375e-06, eta: 5:08:38, time: 0.198, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1860, decode.acc_seg: 92.2695, loss: 0.1860 +2023-03-05 06:02:45,461 - mmseg - INFO - Exp name: ablation_segformer_mit_b2_segformer_head_unet_fc_small_multi_step_ade_pretrained_freeze_embed_160k_ade20k151_mask_finetune_maskreplace.py +2023-03-05 06:02:45,462 - mmseg - INFO - Iter [83000/160000] lr: 9.375e-06, eta: 5:08:24, time: 0.193, data_time: 0.008, memory: 52540, decode.loss_ce: 0.1824, decode.acc_seg: 92.4830, loss: 0.1824 +2023-03-05 06:02:55,122 - mmseg - INFO - Iter [83050/160000] lr: 9.375e-06, eta: 5:08:10, time: 0.193, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1849, decode.acc_seg: 92.3955, loss: 0.1849 +2023-03-05 06:03:04,687 - mmseg - INFO - Iter [83100/160000] lr: 9.375e-06, eta: 5:07:55, time: 0.191, data_time: 0.008, memory: 52540, decode.loss_ce: 0.1776, decode.acc_seg: 92.5097, loss: 0.1776 +2023-03-05 06:03:14,382 - mmseg - INFO - Iter [83150/160000] lr: 9.375e-06, eta: 5:07:41, time: 0.194, data_time: 0.008, memory: 52540, decode.loss_ce: 0.1825, decode.acc_seg: 92.5108, loss: 0.1825 +2023-03-05 06:03:23,936 - mmseg - INFO - Iter [83200/160000] lr: 9.375e-06, eta: 5:07:27, time: 0.191, data_time: 0.008, memory: 52540, decode.loss_ce: 0.1900, decode.acc_seg: 92.2123, loss: 0.1900 +2023-03-05 06:03:33,773 - mmseg - INFO - Iter [83250/160000] lr: 9.375e-06, eta: 5:07:13, time: 0.197, data_time: 0.008, memory: 52540, decode.loss_ce: 0.1871, decode.acc_seg: 92.3031, loss: 0.1871 +2023-03-05 06:03:45,880 - mmseg - INFO - Iter [83300/160000] lr: 9.375e-06, eta: 5:07:01, time: 0.242, data_time: 0.056, memory: 52540, decode.loss_ce: 0.1841, decode.acc_seg: 92.4630, loss: 0.1841 +2023-03-05 06:03:55,552 - mmseg - INFO - Iter [83350/160000] lr: 9.375e-06, eta: 5:06:47, time: 0.193, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1844, decode.acc_seg: 92.2923, loss: 0.1844 +2023-03-05 06:04:05,111 - mmseg - INFO - Iter [83400/160000] lr: 9.375e-06, eta: 5:06:33, time: 0.191, data_time: 0.008, memory: 52540, decode.loss_ce: 0.1908, decode.acc_seg: 92.2700, loss: 0.1908 +2023-03-05 06:04:14,621 - mmseg - INFO - Iter [83450/160000] lr: 9.375e-06, eta: 5:06:18, time: 0.190, data_time: 0.008, memory: 52540, decode.loss_ce: 0.1866, decode.acc_seg: 92.3248, loss: 0.1866 +2023-03-05 06:04:24,326 - mmseg - INFO - Iter [83500/160000] lr: 9.375e-06, eta: 5:06:04, time: 0.194, data_time: 0.008, memory: 52540, decode.loss_ce: 0.1825, decode.acc_seg: 92.4892, loss: 0.1825 +2023-03-05 06:04:34,148 - mmseg - INFO - Iter [83550/160000] lr: 9.375e-06, eta: 5:05:50, time: 0.196, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1938, decode.acc_seg: 92.1356, loss: 0.1938 +2023-03-05 06:04:43,787 - mmseg - INFO - Iter [83600/160000] lr: 9.375e-06, eta: 5:05:36, time: 0.193, data_time: 0.008, memory: 52540, decode.loss_ce: 0.1796, decode.acc_seg: 92.6386, loss: 0.1796 +2023-03-05 06:04:53,444 - mmseg - INFO - Iter [83650/160000] lr: 9.375e-06, eta: 5:05:22, time: 0.193, data_time: 0.008, memory: 52540, decode.loss_ce: 0.1892, decode.acc_seg: 92.4200, loss: 0.1892 +2023-03-05 06:05:03,190 - mmseg - INFO - Iter [83700/160000] lr: 9.375e-06, eta: 5:05:08, time: 0.195, data_time: 0.008, memory: 52540, decode.loss_ce: 0.1833, decode.acc_seg: 92.4436, loss: 0.1833 +2023-03-05 06:05:13,153 - mmseg - INFO - Iter [83750/160000] lr: 9.375e-06, eta: 5:04:54, time: 0.199, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1859, decode.acc_seg: 92.3704, loss: 0.1859 +2023-03-05 06:05:22,869 - mmseg - INFO - Iter [83800/160000] lr: 9.375e-06, eta: 5:04:40, time: 0.194, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1858, decode.acc_seg: 92.3953, loss: 0.1858 +2023-03-05 06:05:32,476 - mmseg - INFO - Iter [83850/160000] lr: 9.375e-06, eta: 5:04:26, time: 0.192, data_time: 0.008, memory: 52540, decode.loss_ce: 0.1856, decode.acc_seg: 92.2704, loss: 0.1856 +2023-03-05 06:05:42,100 - mmseg - INFO - Iter [83900/160000] lr: 9.375e-06, eta: 5:04:12, time: 0.192, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1887, decode.acc_seg: 92.3542, loss: 0.1887 +2023-03-05 06:05:54,267 - mmseg - INFO - Iter [83950/160000] lr: 9.375e-06, eta: 5:04:00, time: 0.243, data_time: 0.054, memory: 52540, decode.loss_ce: 0.1833, decode.acc_seg: 92.3109, loss: 0.1833 +2023-03-05 06:06:03,875 - mmseg - INFO - Exp name: ablation_segformer_mit_b2_segformer_head_unet_fc_small_multi_step_ade_pretrained_freeze_embed_160k_ade20k151_mask_finetune_maskreplace.py +2023-03-05 06:06:03,875 - mmseg - INFO - Iter [84000/160000] lr: 9.375e-06, eta: 5:03:46, time: 0.192, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1840, decode.acc_seg: 92.5299, loss: 0.1840 +2023-03-05 06:06:13,911 - mmseg - INFO - Iter [84050/160000] lr: 9.375e-06, eta: 5:03:32, time: 0.201, data_time: 0.008, memory: 52540, decode.loss_ce: 0.1907, decode.acc_seg: 92.2241, loss: 0.1907 +2023-03-05 06:06:23,967 - mmseg - INFO - Iter [84100/160000] lr: 9.375e-06, eta: 5:03:18, time: 0.201, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1854, decode.acc_seg: 92.3265, loss: 0.1854 +2023-03-05 06:06:33,590 - mmseg - INFO - Iter [84150/160000] lr: 9.375e-06, eta: 5:03:04, time: 0.193, data_time: 0.008, memory: 52540, decode.loss_ce: 0.1836, decode.acc_seg: 92.4063, loss: 0.1836 +2023-03-05 06:06:43,157 - mmseg - INFO - Iter [84200/160000] lr: 9.375e-06, eta: 5:02:50, time: 0.191, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1845, decode.acc_seg: 92.5233, loss: 0.1845 +2023-03-05 06:06:52,731 - mmseg - INFO - Iter [84250/160000] lr: 9.375e-06, eta: 5:02:36, time: 0.191, data_time: 0.008, memory: 52540, decode.loss_ce: 0.1844, decode.acc_seg: 92.4741, loss: 0.1844 +2023-03-05 06:07:02,608 - mmseg - INFO - Iter [84300/160000] lr: 9.375e-06, eta: 5:02:22, time: 0.198, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1850, decode.acc_seg: 92.1988, loss: 0.1850 +2023-03-05 06:07:12,688 - mmseg - INFO - Iter [84350/160000] lr: 9.375e-06, eta: 5:02:08, time: 0.202, data_time: 0.008, memory: 52540, decode.loss_ce: 0.1875, decode.acc_seg: 92.1981, loss: 0.1875 +2023-03-05 06:07:22,582 - mmseg - INFO - Iter [84400/160000] lr: 9.375e-06, eta: 5:01:54, time: 0.198, data_time: 0.008, memory: 52540, decode.loss_ce: 0.1774, decode.acc_seg: 92.5968, loss: 0.1774 +2023-03-05 06:07:32,191 - mmseg - INFO - Iter [84450/160000] lr: 9.375e-06, eta: 5:01:40, time: 0.192, data_time: 0.008, memory: 52540, decode.loss_ce: 0.1827, decode.acc_seg: 92.5873, loss: 0.1827 +2023-03-05 06:07:41,793 - mmseg - INFO - Iter [84500/160000] lr: 9.375e-06, eta: 5:01:26, time: 0.192, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1913, decode.acc_seg: 92.2336, loss: 0.1913 +2023-03-05 06:07:51,412 - mmseg - INFO - Iter [84550/160000] lr: 9.375e-06, eta: 5:01:12, time: 0.192, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1909, decode.acc_seg: 92.2430, loss: 0.1909 +2023-03-05 06:08:03,558 - mmseg - INFO - Iter [84600/160000] lr: 9.375e-06, eta: 5:01:00, time: 0.243, data_time: 0.057, memory: 52540, decode.loss_ce: 0.1837, decode.acc_seg: 92.3061, loss: 0.1837 +2023-03-05 06:08:13,834 - mmseg - INFO - Iter [84650/160000] lr: 9.375e-06, eta: 5:00:47, time: 0.206, data_time: 0.008, memory: 52540, decode.loss_ce: 0.1794, decode.acc_seg: 92.5760, loss: 0.1794 +2023-03-05 06:08:23,628 - mmseg - INFO - Iter [84700/160000] lr: 9.375e-06, eta: 5:00:33, time: 0.196, data_time: 0.008, memory: 52540, decode.loss_ce: 0.1879, decode.acc_seg: 92.4487, loss: 0.1879 +2023-03-05 06:08:33,579 - mmseg - INFO - Iter [84750/160000] lr: 9.375e-06, eta: 5:00:19, time: 0.199, data_time: 0.008, memory: 52540, decode.loss_ce: 0.1901, decode.acc_seg: 92.2494, loss: 0.1901 +2023-03-05 06:08:43,478 - mmseg - INFO - Iter [84800/160000] lr: 9.375e-06, eta: 5:00:05, time: 0.198, data_time: 0.008, memory: 52540, decode.loss_ce: 0.1886, decode.acc_seg: 92.4209, loss: 0.1886 +2023-03-05 06:08:53,165 - mmseg - INFO - Iter [84850/160000] lr: 9.375e-06, eta: 4:59:51, time: 0.194, data_time: 0.008, memory: 52540, decode.loss_ce: 0.1895, decode.acc_seg: 92.1997, loss: 0.1895 +2023-03-05 06:09:02,920 - mmseg - INFO - Iter [84900/160000] lr: 9.375e-06, eta: 4:59:37, time: 0.195, data_time: 0.008, memory: 52540, decode.loss_ce: 0.1840, decode.acc_seg: 92.3582, loss: 0.1840 +2023-03-05 06:09:12,552 - mmseg - INFO - Iter [84950/160000] lr: 9.375e-06, eta: 4:59:23, time: 0.193, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1917, decode.acc_seg: 91.9538, loss: 0.1917 +2023-03-05 06:09:22,105 - mmseg - INFO - Exp name: ablation_segformer_mit_b2_segformer_head_unet_fc_small_multi_step_ade_pretrained_freeze_embed_160k_ade20k151_mask_finetune_maskreplace.py +2023-03-05 06:09:22,105 - mmseg - INFO - Iter [85000/160000] lr: 9.375e-06, eta: 4:59:09, time: 0.191, data_time: 0.008, memory: 52540, decode.loss_ce: 0.1929, decode.acc_seg: 92.0761, loss: 0.1929 +2023-03-05 06:09:32,080 - mmseg - INFO - Iter [85050/160000] lr: 9.375e-06, eta: 4:58:55, time: 0.199, data_time: 0.008, memory: 52540, decode.loss_ce: 0.1950, decode.acc_seg: 91.8769, loss: 0.1950 +2023-03-05 06:09:42,020 - mmseg - INFO - Iter [85100/160000] lr: 9.375e-06, eta: 4:58:42, time: 0.199, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1804, decode.acc_seg: 92.5906, loss: 0.1804 +2023-03-05 06:09:51,868 - mmseg - INFO - Iter [85150/160000] lr: 9.375e-06, eta: 4:58:28, time: 0.197, data_time: 0.008, memory: 52540, decode.loss_ce: 0.1801, decode.acc_seg: 92.6694, loss: 0.1801 +2023-03-05 06:10:03,931 - mmseg - INFO - Iter [85200/160000] lr: 9.375e-06, eta: 4:58:16, time: 0.241, data_time: 0.055, memory: 52540, decode.loss_ce: 0.1832, decode.acc_seg: 92.4863, loss: 0.1832 +2023-03-05 06:10:13,531 - mmseg - INFO - Iter [85250/160000] lr: 9.375e-06, eta: 4:58:02, time: 0.192, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1910, decode.acc_seg: 92.1489, loss: 0.1910 +2023-03-05 06:10:23,111 - mmseg - INFO - Iter [85300/160000] lr: 9.375e-06, eta: 4:57:48, time: 0.192, data_time: 0.008, memory: 52540, decode.loss_ce: 0.1844, decode.acc_seg: 92.3461, loss: 0.1844 +2023-03-05 06:10:32,993 - mmseg - INFO - Iter [85350/160000] lr: 9.375e-06, eta: 4:57:34, time: 0.198, data_time: 0.008, memory: 52540, decode.loss_ce: 0.1836, decode.acc_seg: 92.3043, loss: 0.1836 +2023-03-05 06:10:42,794 - mmseg - INFO - Iter [85400/160000] lr: 9.375e-06, eta: 4:57:20, time: 0.196, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1845, decode.acc_seg: 92.4214, loss: 0.1845 +2023-03-05 06:10:52,331 - mmseg - INFO - Iter [85450/160000] lr: 9.375e-06, eta: 4:57:06, time: 0.191, data_time: 0.008, memory: 52540, decode.loss_ce: 0.1872, decode.acc_seg: 92.3164, loss: 0.1872 +2023-03-05 06:11:01,968 - mmseg - INFO - Iter [85500/160000] lr: 9.375e-06, eta: 4:56:52, time: 0.193, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1909, decode.acc_seg: 92.1264, loss: 0.1909 +2023-03-05 06:11:11,804 - mmseg - INFO - Iter [85550/160000] lr: 9.375e-06, eta: 4:56:38, time: 0.197, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1859, decode.acc_seg: 92.3199, loss: 0.1859 +2023-03-05 06:11:21,860 - mmseg - INFO - Iter [85600/160000] lr: 9.375e-06, eta: 4:56:25, time: 0.201, data_time: 0.008, memory: 52540, decode.loss_ce: 0.1868, decode.acc_seg: 92.3828, loss: 0.1868 +2023-03-05 06:11:31,592 - mmseg - INFO - Iter [85650/160000] lr: 9.375e-06, eta: 4:56:11, time: 0.195, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1848, decode.acc_seg: 92.3571, loss: 0.1848 +2023-03-05 06:11:41,266 - mmseg - INFO - Iter [85700/160000] lr: 9.375e-06, eta: 4:55:57, time: 0.193, data_time: 0.008, memory: 52540, decode.loss_ce: 0.1856, decode.acc_seg: 92.3029, loss: 0.1856 +2023-03-05 06:11:50,813 - mmseg - INFO - Iter [85750/160000] lr: 9.375e-06, eta: 4:55:43, time: 0.191, data_time: 0.008, memory: 52540, decode.loss_ce: 0.1868, decode.acc_seg: 92.3334, loss: 0.1868 +2023-03-05 06:12:00,401 - mmseg - INFO - Iter [85800/160000] lr: 9.375e-06, eta: 4:55:29, time: 0.191, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1864, decode.acc_seg: 92.3723, loss: 0.1864 +2023-03-05 06:12:12,667 - mmseg - INFO - Iter [85850/160000] lr: 9.375e-06, eta: 4:55:17, time: 0.246, data_time: 0.055, memory: 52540, decode.loss_ce: 0.1798, decode.acc_seg: 92.6250, loss: 0.1798 +2023-03-05 06:12:22,562 - mmseg - INFO - Iter [85900/160000] lr: 9.375e-06, eta: 4:55:04, time: 0.198, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1975, decode.acc_seg: 92.0647, loss: 0.1975 +2023-03-05 06:12:32,537 - mmseg - INFO - Iter [85950/160000] lr: 9.375e-06, eta: 4:54:50, time: 0.200, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1860, decode.acc_seg: 92.3947, loss: 0.1860 +2023-03-05 06:12:42,526 - mmseg - INFO - Exp name: ablation_segformer_mit_b2_segformer_head_unet_fc_small_multi_step_ade_pretrained_freeze_embed_160k_ade20k151_mask_finetune_maskreplace.py +2023-03-05 06:12:42,526 - mmseg - INFO - Iter [86000/160000] lr: 9.375e-06, eta: 4:54:36, time: 0.200, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1876, decode.acc_seg: 92.2735, loss: 0.1876 +2023-03-05 06:12:52,291 - mmseg - INFO - Iter [86050/160000] lr: 9.375e-06, eta: 4:54:23, time: 0.195, data_time: 0.008, memory: 52540, decode.loss_ce: 0.1937, decode.acc_seg: 92.0183, loss: 0.1937 +2023-03-05 06:13:02,771 - mmseg - INFO - Iter [86100/160000] lr: 9.375e-06, eta: 4:54:09, time: 0.210, data_time: 0.008, memory: 52540, decode.loss_ce: 0.1831, decode.acc_seg: 92.5003, loss: 0.1831 +2023-03-05 06:13:12,340 - mmseg - INFO - Iter [86150/160000] lr: 9.375e-06, eta: 4:53:55, time: 0.191, data_time: 0.008, memory: 52540, decode.loss_ce: 0.1783, decode.acc_seg: 92.5338, loss: 0.1783 +2023-03-05 06:13:22,079 - mmseg - INFO - Iter [86200/160000] lr: 9.375e-06, eta: 4:53:42, time: 0.195, data_time: 0.008, memory: 52540, decode.loss_ce: 0.1826, decode.acc_seg: 92.5348, loss: 0.1826 +2023-03-05 06:13:31,767 - mmseg - INFO - Iter [86250/160000] lr: 9.375e-06, eta: 4:53:28, time: 0.194, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1832, decode.acc_seg: 92.3862, loss: 0.1832 +2023-03-05 06:13:41,420 - mmseg - INFO - Iter [86300/160000] lr: 9.375e-06, eta: 4:53:14, time: 0.193, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1870, decode.acc_seg: 92.2567, loss: 0.1870 +2023-03-05 06:13:51,224 - mmseg - INFO - Iter [86350/160000] lr: 9.375e-06, eta: 4:53:00, time: 0.196, data_time: 0.008, memory: 52540, decode.loss_ce: 0.1877, decode.acc_seg: 92.3333, loss: 0.1877 +2023-03-05 06:14:01,066 - mmseg - INFO - Iter [86400/160000] lr: 9.375e-06, eta: 4:52:46, time: 0.197, data_time: 0.008, memory: 52540, decode.loss_ce: 0.1890, decode.acc_seg: 92.2619, loss: 0.1890 +2023-03-05 06:14:13,142 - mmseg - INFO - Iter [86450/160000] lr: 9.375e-06, eta: 4:52:34, time: 0.241, data_time: 0.053, memory: 52540, decode.loss_ce: 0.1811, decode.acc_seg: 92.6074, loss: 0.1811 +2023-03-05 06:14:22,811 - mmseg - INFO - Iter [86500/160000] lr: 9.375e-06, eta: 4:52:21, time: 0.194, data_time: 0.008, memory: 52540, decode.loss_ce: 0.1897, decode.acc_seg: 92.3751, loss: 0.1897 +2023-03-05 06:14:32,998 - mmseg - INFO - Iter [86550/160000] lr: 9.375e-06, eta: 4:52:07, time: 0.203, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1777, decode.acc_seg: 92.5437, loss: 0.1777 +2023-03-05 06:14:42,909 - mmseg - INFO - Iter [86600/160000] lr: 9.375e-06, eta: 4:51:54, time: 0.198, data_time: 0.008, memory: 52540, decode.loss_ce: 0.1776, decode.acc_seg: 92.6519, loss: 0.1776 +2023-03-05 06:14:52,539 - mmseg - INFO - Iter [86650/160000] lr: 9.375e-06, eta: 4:51:40, time: 0.193, data_time: 0.008, memory: 52540, decode.loss_ce: 0.1887, decode.acc_seg: 92.3418, loss: 0.1887 +2023-03-05 06:15:02,582 - mmseg - INFO - Iter [86700/160000] lr: 9.375e-06, eta: 4:51:26, time: 0.201, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1874, decode.acc_seg: 92.2818, loss: 0.1874 +2023-03-05 06:15:12,428 - mmseg - INFO - Iter [86750/160000] lr: 9.375e-06, eta: 4:51:12, time: 0.197, data_time: 0.008, memory: 52540, decode.loss_ce: 0.1888, decode.acc_seg: 92.2925, loss: 0.1888 +2023-03-05 06:15:22,218 - mmseg - INFO - Iter [86800/160000] lr: 9.375e-06, eta: 4:50:59, time: 0.196, data_time: 0.008, memory: 52540, decode.loss_ce: 0.1871, decode.acc_seg: 92.2447, loss: 0.1871 +2023-03-05 06:15:31,912 - mmseg - INFO - Iter [86850/160000] lr: 9.375e-06, eta: 4:50:45, time: 0.194, data_time: 0.008, memory: 52540, decode.loss_ce: 0.1839, decode.acc_seg: 92.3863, loss: 0.1839 +2023-03-05 06:15:41,532 - mmseg - INFO - Iter [86900/160000] lr: 9.375e-06, eta: 4:50:31, time: 0.192, data_time: 0.008, memory: 52540, decode.loss_ce: 0.1792, decode.acc_seg: 92.5359, loss: 0.1792 +2023-03-05 06:15:51,147 - mmseg - INFO - Iter [86950/160000] lr: 9.375e-06, eta: 4:50:17, time: 0.192, data_time: 0.008, memory: 52540, decode.loss_ce: 0.1887, decode.acc_seg: 92.3151, loss: 0.1887 +2023-03-05 06:16:00,896 - mmseg - INFO - Exp name: ablation_segformer_mit_b2_segformer_head_unet_fc_small_multi_step_ade_pretrained_freeze_embed_160k_ade20k151_mask_finetune_maskreplace.py +2023-03-05 06:16:00,897 - mmseg - INFO - Iter [87000/160000] lr: 9.375e-06, eta: 4:50:03, time: 0.195, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1893, decode.acc_seg: 92.2301, loss: 0.1893 +2023-03-05 06:16:10,645 - mmseg - INFO - Iter [87050/160000] lr: 9.375e-06, eta: 4:49:50, time: 0.195, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1916, decode.acc_seg: 92.1360, loss: 0.1916 +2023-03-05 06:16:22,998 - mmseg - INFO - Iter [87100/160000] lr: 9.375e-06, eta: 4:49:38, time: 0.247, data_time: 0.054, memory: 52540, decode.loss_ce: 0.1854, decode.acc_seg: 92.2969, loss: 0.1854 +2023-03-05 06:16:32,910 - mmseg - INFO - Iter [87150/160000] lr: 9.375e-06, eta: 4:49:25, time: 0.198, data_time: 0.008, memory: 52540, decode.loss_ce: 0.1894, decode.acc_seg: 92.2943, loss: 0.1894 +2023-03-05 06:16:42,643 - mmseg - INFO - Iter [87200/160000] lr: 9.375e-06, eta: 4:49:11, time: 0.195, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1858, decode.acc_seg: 92.2206, loss: 0.1858 +2023-03-05 06:16:52,328 - mmseg - INFO - Iter [87250/160000] lr: 9.375e-06, eta: 4:48:57, time: 0.193, data_time: 0.008, memory: 52540, decode.loss_ce: 0.1923, decode.acc_seg: 92.0369, loss: 0.1923 +2023-03-05 06:17:02,005 - mmseg - INFO - Iter [87300/160000] lr: 9.375e-06, eta: 4:48:43, time: 0.194, data_time: 0.008, memory: 52540, decode.loss_ce: 0.1814, decode.acc_seg: 92.5074, loss: 0.1814 +2023-03-05 06:17:11,918 - mmseg - INFO - Iter [87350/160000] lr: 9.375e-06, eta: 4:48:30, time: 0.198, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1871, decode.acc_seg: 92.3599, loss: 0.1871 +2023-03-05 06:17:21,608 - mmseg - INFO - Iter [87400/160000] lr: 9.375e-06, eta: 4:48:16, time: 0.194, data_time: 0.008, memory: 52540, decode.loss_ce: 0.1844, decode.acc_seg: 92.3481, loss: 0.1844 +2023-03-05 06:17:31,397 - mmseg - INFO - Iter [87450/160000] lr: 9.375e-06, eta: 4:48:02, time: 0.196, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1825, decode.acc_seg: 92.5392, loss: 0.1825 +2023-03-05 06:17:40,916 - mmseg - INFO - Iter [87500/160000] lr: 9.375e-06, eta: 4:47:48, time: 0.190, data_time: 0.008, memory: 52540, decode.loss_ce: 0.1838, decode.acc_seg: 92.4331, loss: 0.1838 +2023-03-05 06:17:50,718 - mmseg - INFO - Iter [87550/160000] lr: 9.375e-06, eta: 4:47:35, time: 0.196, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1872, decode.acc_seg: 92.3901, loss: 0.1872 +2023-03-05 06:18:00,270 - mmseg - INFO - Iter [87600/160000] lr: 9.375e-06, eta: 4:47:21, time: 0.191, data_time: 0.008, memory: 52540, decode.loss_ce: 0.1861, decode.acc_seg: 92.2943, loss: 0.1861 +2023-03-05 06:18:10,077 - mmseg - INFO - Iter [87650/160000] lr: 9.375e-06, eta: 4:47:07, time: 0.196, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1896, decode.acc_seg: 92.2292, loss: 0.1896 +2023-03-05 06:18:19,887 - mmseg - INFO - Iter [87700/160000] lr: 9.375e-06, eta: 4:46:54, time: 0.196, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1813, decode.acc_seg: 92.5119, loss: 0.1813 +2023-03-05 06:18:32,383 - mmseg - INFO - Iter [87750/160000] lr: 9.375e-06, eta: 4:46:42, time: 0.250, data_time: 0.054, memory: 52540, decode.loss_ce: 0.1844, decode.acc_seg: 92.4683, loss: 0.1844 +2023-03-05 06:18:42,003 - mmseg - INFO - Iter [87800/160000] lr: 9.375e-06, eta: 4:46:28, time: 0.192, data_time: 0.008, memory: 52540, decode.loss_ce: 0.1852, decode.acc_seg: 92.3659, loss: 0.1852 +2023-03-05 06:18:51,986 - mmseg - INFO - Iter [87850/160000] lr: 9.375e-06, eta: 4:46:15, time: 0.200, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1899, decode.acc_seg: 92.1604, loss: 0.1899 +2023-03-05 06:19:01,631 - mmseg - INFO - Iter [87900/160000] lr: 9.375e-06, eta: 4:46:01, time: 0.193, data_time: 0.008, memory: 52540, decode.loss_ce: 0.1882, decode.acc_seg: 92.3624, loss: 0.1882 +2023-03-05 06:19:11,330 - mmseg - INFO - Iter [87950/160000] lr: 9.375e-06, eta: 4:45:47, time: 0.194, data_time: 0.008, memory: 52540, decode.loss_ce: 0.1829, decode.acc_seg: 92.4741, loss: 0.1829 +2023-03-05 06:19:21,158 - mmseg - INFO - Exp name: ablation_segformer_mit_b2_segformer_head_unet_fc_small_multi_step_ade_pretrained_freeze_embed_160k_ade20k151_mask_finetune_maskreplace.py +2023-03-05 06:19:21,158 - mmseg - INFO - Iter [88000/160000] lr: 9.375e-06, eta: 4:45:34, time: 0.197, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1801, decode.acc_seg: 92.5707, loss: 0.1801 +2023-03-05 06:19:30,978 - mmseg - INFO - Iter [88050/160000] lr: 9.375e-06, eta: 4:45:20, time: 0.196, data_time: 0.008, memory: 52540, decode.loss_ce: 0.1809, decode.acc_seg: 92.6485, loss: 0.1809 +2023-03-05 06:19:40,576 - mmseg - INFO - Iter [88100/160000] lr: 9.375e-06, eta: 4:45:06, time: 0.192, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1927, decode.acc_seg: 92.0185, loss: 0.1927 +2023-03-05 06:19:50,254 - mmseg - INFO - Iter [88150/160000] lr: 9.375e-06, eta: 4:44:53, time: 0.194, data_time: 0.008, memory: 52540, decode.loss_ce: 0.1844, decode.acc_seg: 92.2654, loss: 0.1844 +2023-03-05 06:19:59,993 - mmseg - INFO - Iter [88200/160000] lr: 9.375e-06, eta: 4:44:39, time: 0.195, data_time: 0.008, memory: 52540, decode.loss_ce: 0.1884, decode.acc_seg: 92.3060, loss: 0.1884 +2023-03-05 06:20:09,811 - mmseg - INFO - Iter [88250/160000] lr: 9.375e-06, eta: 4:44:26, time: 0.197, data_time: 0.008, memory: 52540, decode.loss_ce: 0.1872, decode.acc_seg: 92.1759, loss: 0.1872 +2023-03-05 06:20:19,624 - mmseg - INFO - Iter [88300/160000] lr: 9.375e-06, eta: 4:44:12, time: 0.196, data_time: 0.008, memory: 52540, decode.loss_ce: 0.1895, decode.acc_seg: 92.2032, loss: 0.1895 +2023-03-05 06:20:31,701 - mmseg - INFO - Iter [88350/160000] lr: 9.375e-06, eta: 4:44:00, time: 0.242, data_time: 0.054, memory: 52540, decode.loss_ce: 0.1905, decode.acc_seg: 92.2605, loss: 0.1905 +2023-03-05 06:20:41,345 - mmseg - INFO - Iter [88400/160000] lr: 9.375e-06, eta: 4:43:46, time: 0.193, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1930, decode.acc_seg: 92.0579, loss: 0.1930 +2023-03-05 06:20:51,015 - mmseg - INFO - Iter [88450/160000] lr: 9.375e-06, eta: 4:43:33, time: 0.193, data_time: 0.008, memory: 52540, decode.loss_ce: 0.1895, decode.acc_seg: 92.3325, loss: 0.1895 +2023-03-05 06:21:00,872 - mmseg - INFO - Iter [88500/160000] lr: 9.375e-06, eta: 4:43:19, time: 0.197, data_time: 0.008, memory: 52540, decode.loss_ce: 0.1904, decode.acc_seg: 92.3655, loss: 0.1904 +2023-03-05 06:21:10,590 - mmseg - INFO - Iter [88550/160000] lr: 9.375e-06, eta: 4:43:06, time: 0.194, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1793, decode.acc_seg: 92.5898, loss: 0.1793 +2023-03-05 06:21:20,442 - mmseg - INFO - Iter [88600/160000] lr: 9.375e-06, eta: 4:42:52, time: 0.197, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1888, decode.acc_seg: 92.3228, loss: 0.1888 +2023-03-05 06:21:30,249 - mmseg - INFO - Iter [88650/160000] lr: 9.375e-06, eta: 4:42:39, time: 0.196, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1880, decode.acc_seg: 92.2627, loss: 0.1880 +2023-03-05 06:21:39,906 - mmseg - INFO - Iter [88700/160000] lr: 9.375e-06, eta: 4:42:25, time: 0.193, data_time: 0.008, memory: 52540, decode.loss_ce: 0.1879, decode.acc_seg: 92.3928, loss: 0.1879 +2023-03-05 06:21:49,484 - mmseg - INFO - Iter [88750/160000] lr: 9.375e-06, eta: 4:42:11, time: 0.192, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1816, decode.acc_seg: 92.5052, loss: 0.1816 +2023-03-05 06:21:59,306 - mmseg - INFO - Iter [88800/160000] lr: 9.375e-06, eta: 4:41:58, time: 0.196, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1931, decode.acc_seg: 92.1716, loss: 0.1931 +2023-03-05 06:22:09,206 - mmseg - INFO - Iter [88850/160000] lr: 9.375e-06, eta: 4:41:44, time: 0.198, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1858, decode.acc_seg: 92.2303, loss: 0.1858 +2023-03-05 06:22:18,975 - mmseg - INFO - Iter [88900/160000] lr: 9.375e-06, eta: 4:41:31, time: 0.196, data_time: 0.008, memory: 52540, decode.loss_ce: 0.1923, decode.acc_seg: 91.9797, loss: 0.1923 +2023-03-05 06:22:28,898 - mmseg - INFO - Iter [88950/160000] lr: 9.375e-06, eta: 4:41:17, time: 0.198, data_time: 0.008, memory: 52540, decode.loss_ce: 0.1838, decode.acc_seg: 92.4146, loss: 0.1838 +2023-03-05 06:22:41,095 - mmseg - INFO - Exp name: ablation_segformer_mit_b2_segformer_head_unet_fc_small_multi_step_ade_pretrained_freeze_embed_160k_ade20k151_mask_finetune_maskreplace.py +2023-03-05 06:22:41,095 - mmseg - INFO - Iter [89000/160000] lr: 9.375e-06, eta: 4:41:06, time: 0.244, data_time: 0.055, memory: 52540, decode.loss_ce: 0.1888, decode.acc_seg: 92.2190, loss: 0.1888 +2023-03-05 06:22:50,913 - mmseg - INFO - Iter [89050/160000] lr: 9.375e-06, eta: 4:40:52, time: 0.196, data_time: 0.008, memory: 52540, decode.loss_ce: 0.1867, decode.acc_seg: 92.3296, loss: 0.1867 +2023-03-05 06:23:00,579 - mmseg - INFO - Iter [89100/160000] lr: 9.375e-06, eta: 4:40:38, time: 0.193, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1861, decode.acc_seg: 92.3934, loss: 0.1861 +2023-03-05 06:23:10,479 - mmseg - INFO - Iter [89150/160000] lr: 9.375e-06, eta: 4:40:25, time: 0.198, data_time: 0.008, memory: 52540, decode.loss_ce: 0.1805, decode.acc_seg: 92.6050, loss: 0.1805 +2023-03-05 06:23:20,168 - mmseg - INFO - Iter [89200/160000] lr: 9.375e-06, eta: 4:40:11, time: 0.194, data_time: 0.008, memory: 52540, decode.loss_ce: 0.1919, decode.acc_seg: 92.0973, loss: 0.1919 +2023-03-05 06:23:29,762 - mmseg - INFO - Iter [89250/160000] lr: 9.375e-06, eta: 4:39:58, time: 0.192, data_time: 0.008, memory: 52540, decode.loss_ce: 0.1831, decode.acc_seg: 92.6126, loss: 0.1831 +2023-03-05 06:23:39,302 - mmseg - INFO - Iter [89300/160000] lr: 9.375e-06, eta: 4:39:44, time: 0.191, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1791, decode.acc_seg: 92.5731, loss: 0.1791 +2023-03-05 06:23:49,438 - mmseg - INFO - Iter [89350/160000] lr: 9.375e-06, eta: 4:39:31, time: 0.203, data_time: 0.008, memory: 52540, decode.loss_ce: 0.1873, decode.acc_seg: 92.3827, loss: 0.1873 +2023-03-05 06:23:59,153 - mmseg - INFO - Iter [89400/160000] lr: 9.375e-06, eta: 4:39:17, time: 0.194, data_time: 0.008, memory: 52540, decode.loss_ce: 0.1866, decode.acc_seg: 92.2747, loss: 0.1866 +2023-03-05 06:24:08,926 - mmseg - INFO - Iter [89450/160000] lr: 9.375e-06, eta: 4:39:04, time: 0.195, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1898, decode.acc_seg: 92.3716, loss: 0.1898 +2023-03-05 06:24:18,576 - mmseg - INFO - Iter [89500/160000] lr: 9.375e-06, eta: 4:38:50, time: 0.193, data_time: 0.008, memory: 52540, decode.loss_ce: 0.1890, decode.acc_seg: 92.3514, loss: 0.1890 +2023-03-05 06:24:28,233 - mmseg - INFO - Iter [89550/160000] lr: 9.375e-06, eta: 4:38:36, time: 0.193, data_time: 0.008, memory: 52540, decode.loss_ce: 0.1898, decode.acc_seg: 92.2288, loss: 0.1898 +2023-03-05 06:24:37,816 - mmseg - INFO - Iter [89600/160000] lr: 9.375e-06, eta: 4:38:23, time: 0.192, data_time: 0.008, memory: 52540, decode.loss_ce: 0.1829, decode.acc_seg: 92.4095, loss: 0.1829 +2023-03-05 06:24:50,376 - mmseg - INFO - Iter [89650/160000] lr: 9.375e-06, eta: 4:38:11, time: 0.251, data_time: 0.056, memory: 52540, decode.loss_ce: 0.1834, decode.acc_seg: 92.4256, loss: 0.1834 +2023-03-05 06:24:59,998 - mmseg - INFO - Iter [89700/160000] lr: 9.375e-06, eta: 4:37:58, time: 0.192, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1833, decode.acc_seg: 92.5889, loss: 0.1833 +2023-03-05 06:25:09,778 - mmseg - INFO - Iter [89750/160000] lr: 9.375e-06, eta: 4:37:44, time: 0.196, data_time: 0.008, memory: 52540, decode.loss_ce: 0.1856, decode.acc_seg: 92.5119, loss: 0.1856 +2023-03-05 06:25:19,555 - mmseg - INFO - Iter [89800/160000] lr: 9.375e-06, eta: 4:37:31, time: 0.196, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1767, decode.acc_seg: 92.7891, loss: 0.1767 +2023-03-05 06:25:29,156 - mmseg - INFO - Iter [89850/160000] lr: 9.375e-06, eta: 4:37:17, time: 0.192, data_time: 0.008, memory: 52540, decode.loss_ce: 0.1788, decode.acc_seg: 92.6521, loss: 0.1788 +2023-03-05 06:25:38,867 - mmseg - INFO - Iter [89900/160000] lr: 9.375e-06, eta: 4:37:04, time: 0.194, data_time: 0.008, memory: 52540, decode.loss_ce: 0.1908, decode.acc_seg: 92.2457, loss: 0.1908 +2023-03-05 06:25:48,707 - mmseg - INFO - Iter [89950/160000] lr: 9.375e-06, eta: 4:36:50, time: 0.197, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1868, decode.acc_seg: 92.2035, loss: 0.1868 +2023-03-05 06:25:58,436 - mmseg - INFO - Exp name: ablation_segformer_mit_b2_segformer_head_unet_fc_small_multi_step_ade_pretrained_freeze_embed_160k_ade20k151_mask_finetune_maskreplace.py +2023-03-05 06:25:58,436 - mmseg - INFO - Iter [90000/160000] lr: 9.375e-06, eta: 4:36:37, time: 0.195, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1788, decode.acc_seg: 92.5027, loss: 0.1788 +2023-03-05 06:26:08,001 - mmseg - INFO - Iter [90050/160000] lr: 9.375e-06, eta: 4:36:23, time: 0.191, data_time: 0.008, memory: 52540, decode.loss_ce: 0.1885, decode.acc_seg: 92.2923, loss: 0.1885 +2023-03-05 06:26:17,554 - mmseg - INFO - Iter [90100/160000] lr: 9.375e-06, eta: 4:36:09, time: 0.191, data_time: 0.008, memory: 52540, decode.loss_ce: 0.1833, decode.acc_seg: 92.3932, loss: 0.1833 +2023-03-05 06:26:27,280 - mmseg - INFO - Iter [90150/160000] lr: 9.375e-06, eta: 4:35:56, time: 0.195, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1931, decode.acc_seg: 92.1168, loss: 0.1931 +2023-03-05 06:26:37,099 - mmseg - INFO - Iter [90200/160000] lr: 9.375e-06, eta: 4:35:42, time: 0.196, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1887, decode.acc_seg: 92.3598, loss: 0.1887 +2023-03-05 06:26:49,509 - mmseg - INFO - Iter [90250/160000] lr: 9.375e-06, eta: 4:35:31, time: 0.248, data_time: 0.054, memory: 52540, decode.loss_ce: 0.1866, decode.acc_seg: 92.3507, loss: 0.1866 +2023-03-05 06:26:59,192 - mmseg - INFO - Iter [90300/160000] lr: 9.375e-06, eta: 4:35:18, time: 0.193, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1930, decode.acc_seg: 92.1934, loss: 0.1930 +2023-03-05 06:27:08,945 - mmseg - INFO - Iter [90350/160000] lr: 9.375e-06, eta: 4:35:04, time: 0.195, data_time: 0.008, memory: 52540, decode.loss_ce: 0.1897, decode.acc_seg: 92.3044, loss: 0.1897 +2023-03-05 06:27:18,740 - mmseg - INFO - Iter [90400/160000] lr: 9.375e-06, eta: 4:34:51, time: 0.196, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1837, decode.acc_seg: 92.3708, loss: 0.1837 +2023-03-05 06:27:28,577 - mmseg - INFO - Iter [90450/160000] lr: 9.375e-06, eta: 4:34:37, time: 0.197, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1819, decode.acc_seg: 92.4287, loss: 0.1819 +2023-03-05 06:27:38,391 - mmseg - INFO - Iter [90500/160000] lr: 9.375e-06, eta: 4:34:24, time: 0.196, data_time: 0.008, memory: 52540, decode.loss_ce: 0.1831, decode.acc_seg: 92.4358, loss: 0.1831 +2023-03-05 06:27:48,101 - mmseg - INFO - Iter [90550/160000] lr: 9.375e-06, eta: 4:34:10, time: 0.194, data_time: 0.008, memory: 52540, decode.loss_ce: 0.1900, decode.acc_seg: 92.0454, loss: 0.1900 +2023-03-05 06:27:57,761 - mmseg - INFO - Iter [90600/160000] lr: 9.375e-06, eta: 4:33:57, time: 0.193, data_time: 0.008, memory: 52540, decode.loss_ce: 0.1904, decode.acc_seg: 92.3065, loss: 0.1904 +2023-03-05 06:28:07,538 - mmseg - INFO - Iter [90650/160000] lr: 9.375e-06, eta: 4:33:43, time: 0.196, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1843, decode.acc_seg: 92.2752, loss: 0.1843 +2023-03-05 06:28:17,269 - mmseg - INFO - Iter [90700/160000] lr: 9.375e-06, eta: 4:33:30, time: 0.195, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1884, decode.acc_seg: 92.2588, loss: 0.1884 +2023-03-05 06:28:26,991 - mmseg - INFO - Iter [90750/160000] lr: 9.375e-06, eta: 4:33:17, time: 0.194, data_time: 0.008, memory: 52540, decode.loss_ce: 0.1857, decode.acc_seg: 92.4964, loss: 0.1857 +2023-03-05 06:28:36,598 - mmseg - INFO - Iter [90800/160000] lr: 9.375e-06, eta: 4:33:03, time: 0.192, data_time: 0.008, memory: 52540, decode.loss_ce: 0.1857, decode.acc_seg: 92.3779, loss: 0.1857 +2023-03-05 06:28:46,355 - mmseg - INFO - Iter [90850/160000] lr: 9.375e-06, eta: 4:32:50, time: 0.195, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1821, decode.acc_seg: 92.4688, loss: 0.1821 +2023-03-05 06:28:58,469 - mmseg - INFO - Iter [90900/160000] lr: 9.375e-06, eta: 4:32:38, time: 0.242, data_time: 0.058, memory: 52540, decode.loss_ce: 0.1842, decode.acc_seg: 92.3588, loss: 0.1842 +2023-03-05 06:29:08,025 - mmseg - INFO - Iter [90950/160000] lr: 9.375e-06, eta: 4:32:24, time: 0.191, data_time: 0.008, memory: 52540, decode.loss_ce: 0.1867, decode.acc_seg: 92.3028, loss: 0.1867 +2023-03-05 06:29:17,838 - mmseg - INFO - Exp name: ablation_segformer_mit_b2_segformer_head_unet_fc_small_multi_step_ade_pretrained_freeze_embed_160k_ade20k151_mask_finetune_maskreplace.py +2023-03-05 06:29:17,839 - mmseg - INFO - Iter [91000/160000] lr: 9.375e-06, eta: 4:32:11, time: 0.196, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1864, decode.acc_seg: 92.2862, loss: 0.1864 +2023-03-05 06:29:27,718 - mmseg - INFO - Iter [91050/160000] lr: 9.375e-06, eta: 4:31:58, time: 0.198, data_time: 0.008, memory: 52540, decode.loss_ce: 0.1852, decode.acc_seg: 92.2981, loss: 0.1852 +2023-03-05 06:29:37,368 - mmseg - INFO - Iter [91100/160000] lr: 9.375e-06, eta: 4:31:44, time: 0.193, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1781, decode.acc_seg: 92.6853, loss: 0.1781 +2023-03-05 06:29:47,244 - mmseg - INFO - Iter [91150/160000] lr: 9.375e-06, eta: 4:31:31, time: 0.198, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1908, decode.acc_seg: 92.2319, loss: 0.1908 +2023-03-05 06:29:56,921 - mmseg - INFO - Iter [91200/160000] lr: 9.375e-06, eta: 4:31:17, time: 0.194, data_time: 0.008, memory: 52540, decode.loss_ce: 0.1920, decode.acc_seg: 92.2454, loss: 0.1920 +2023-03-05 06:30:06,741 - mmseg - INFO - Iter [91250/160000] lr: 9.375e-06, eta: 4:31:04, time: 0.196, data_time: 0.008, memory: 52540, decode.loss_ce: 0.1950, decode.acc_seg: 92.1535, loss: 0.1950 +2023-03-05 06:30:16,498 - mmseg - INFO - Iter [91300/160000] lr: 9.375e-06, eta: 4:30:51, time: 0.195, data_time: 0.008, memory: 52540, decode.loss_ce: 0.1890, decode.acc_seg: 92.2347, loss: 0.1890 +2023-03-05 06:30:26,079 - mmseg - INFO - Iter [91350/160000] lr: 9.375e-06, eta: 4:30:37, time: 0.192, data_time: 0.008, memory: 52540, decode.loss_ce: 0.1875, decode.acc_seg: 92.3505, loss: 0.1875 +2023-03-05 06:30:35,638 - mmseg - INFO - Iter [91400/160000] lr: 9.375e-06, eta: 4:30:24, time: 0.191, data_time: 0.008, memory: 52540, decode.loss_ce: 0.1895, decode.acc_seg: 92.2539, loss: 0.1895 +2023-03-05 06:30:45,331 - mmseg - INFO - Iter [91450/160000] lr: 9.375e-06, eta: 4:30:10, time: 0.194, data_time: 0.008, memory: 52540, decode.loss_ce: 0.1841, decode.acc_seg: 92.4176, loss: 0.1841 +2023-03-05 06:30:57,496 - mmseg - INFO - Iter [91500/160000] lr: 9.375e-06, eta: 4:29:59, time: 0.244, data_time: 0.057, memory: 52540, decode.loss_ce: 0.1865, decode.acc_seg: 92.2721, loss: 0.1865 +2023-03-05 06:31:07,336 - mmseg - INFO - Iter [91550/160000] lr: 9.375e-06, eta: 4:29:45, time: 0.197, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1769, decode.acc_seg: 92.7229, loss: 0.1769 +2023-03-05 06:31:16,945 - mmseg - INFO - Iter [91600/160000] lr: 9.375e-06, eta: 4:29:32, time: 0.192, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1805, decode.acc_seg: 92.5720, loss: 0.1805 +2023-03-05 06:31:26,702 - mmseg - INFO - Iter [91650/160000] lr: 9.375e-06, eta: 4:29:19, time: 0.195, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1849, decode.acc_seg: 92.3218, loss: 0.1849 +2023-03-05 06:31:36,496 - mmseg - INFO - Iter [91700/160000] lr: 9.375e-06, eta: 4:29:05, time: 0.196, data_time: 0.008, memory: 52540, decode.loss_ce: 0.1765, decode.acc_seg: 92.7891, loss: 0.1765 +2023-03-05 06:31:46,134 - mmseg - INFO - Iter [91750/160000] lr: 9.375e-06, eta: 4:28:52, time: 0.193, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1864, decode.acc_seg: 92.3696, loss: 0.1864 +2023-03-05 06:31:55,707 - mmseg - INFO - Iter [91800/160000] lr: 9.375e-06, eta: 4:28:38, time: 0.191, data_time: 0.008, memory: 52540, decode.loss_ce: 0.1914, decode.acc_seg: 92.1364, loss: 0.1914 +2023-03-05 06:32:05,371 - mmseg - INFO - Iter [91850/160000] lr: 9.375e-06, eta: 4:28:25, time: 0.193, data_time: 0.008, memory: 52540, decode.loss_ce: 0.1877, decode.acc_seg: 92.3625, loss: 0.1877 +2023-03-05 06:32:15,033 - mmseg - INFO - Iter [91900/160000] lr: 9.375e-06, eta: 4:28:11, time: 0.193, data_time: 0.008, memory: 52540, decode.loss_ce: 0.1869, decode.acc_seg: 92.5150, loss: 0.1869 +2023-03-05 06:32:24,973 - mmseg - INFO - Iter [91950/160000] lr: 9.375e-06, eta: 4:27:58, time: 0.199, data_time: 0.008, memory: 52540, decode.loss_ce: 0.1856, decode.acc_seg: 92.5034, loss: 0.1856 +2023-03-05 06:32:34,580 - mmseg - INFO - Exp name: ablation_segformer_mit_b2_segformer_head_unet_fc_small_multi_step_ade_pretrained_freeze_embed_160k_ade20k151_mask_finetune_maskreplace.py +2023-03-05 06:32:34,580 - mmseg - INFO - Iter [92000/160000] lr: 9.375e-06, eta: 4:27:45, time: 0.192, data_time: 0.008, memory: 52540, decode.loss_ce: 0.1854, decode.acc_seg: 92.3571, loss: 0.1854 +2023-03-05 06:32:44,235 - mmseg - INFO - Iter [92050/160000] lr: 9.375e-06, eta: 4:27:31, time: 0.193, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1858, decode.acc_seg: 92.2000, loss: 0.1858 +2023-03-05 06:32:54,197 - mmseg - INFO - Iter [92100/160000] lr: 9.375e-06, eta: 4:27:18, time: 0.199, data_time: 0.008, memory: 52540, decode.loss_ce: 0.1862, decode.acc_seg: 92.5782, loss: 0.1862 +2023-03-05 06:33:06,864 - mmseg - INFO - Iter [92150/160000] lr: 9.375e-06, eta: 4:27:07, time: 0.254, data_time: 0.055, memory: 52540, decode.loss_ce: 0.1842, decode.acc_seg: 92.4368, loss: 0.1842 +2023-03-05 06:33:16,571 - mmseg - INFO - Iter [92200/160000] lr: 9.375e-06, eta: 4:26:54, time: 0.194, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1791, decode.acc_seg: 92.4774, loss: 0.1791 +2023-03-05 06:33:26,303 - mmseg - INFO - Iter [92250/160000] lr: 9.375e-06, eta: 4:26:40, time: 0.195, data_time: 0.008, memory: 52540, decode.loss_ce: 0.1894, decode.acc_seg: 92.3440, loss: 0.1894 +2023-03-05 06:33:35,896 - mmseg - INFO - Iter [92300/160000] lr: 9.375e-06, eta: 4:26:27, time: 0.192, data_time: 0.008, memory: 52540, decode.loss_ce: 0.1759, decode.acc_seg: 92.8326, loss: 0.1759 +2023-03-05 06:33:45,643 - mmseg - INFO - Iter [92350/160000] lr: 9.375e-06, eta: 4:26:14, time: 0.195, data_time: 0.008, memory: 52540, decode.loss_ce: 0.1891, decode.acc_seg: 92.3346, loss: 0.1891 +2023-03-05 06:33:55,430 - mmseg - INFO - Iter [92400/160000] lr: 9.375e-06, eta: 4:26:00, time: 0.196, data_time: 0.008, memory: 52540, decode.loss_ce: 0.1922, decode.acc_seg: 92.2510, loss: 0.1922 +2023-03-05 06:34:05,053 - mmseg - INFO - Iter [92450/160000] lr: 9.375e-06, eta: 4:25:47, time: 0.192, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1898, decode.acc_seg: 92.2987, loss: 0.1898 +2023-03-05 06:34:14,880 - mmseg - INFO - Iter [92500/160000] lr: 9.375e-06, eta: 4:25:34, time: 0.196, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1935, decode.acc_seg: 92.0167, loss: 0.1935 +2023-03-05 06:34:24,728 - mmseg - INFO - Iter [92550/160000] lr: 9.375e-06, eta: 4:25:20, time: 0.197, data_time: 0.008, memory: 52540, decode.loss_ce: 0.1785, decode.acc_seg: 92.5473, loss: 0.1785 +2023-03-05 06:34:34,407 - mmseg - INFO - Iter [92600/160000] lr: 9.375e-06, eta: 4:25:07, time: 0.194, data_time: 0.008, memory: 52540, decode.loss_ce: 0.1846, decode.acc_seg: 92.3748, loss: 0.1846 +2023-03-05 06:34:43,985 - mmseg - INFO - Iter [92650/160000] lr: 9.375e-06, eta: 4:24:54, time: 0.192, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1803, decode.acc_seg: 92.5707, loss: 0.1803 +2023-03-05 06:34:53,603 - mmseg - INFO - Iter [92700/160000] lr: 9.375e-06, eta: 4:24:40, time: 0.192, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1876, decode.acc_seg: 92.2268, loss: 0.1876 +2023-03-05 06:35:03,238 - mmseg - INFO - Iter [92750/160000] lr: 9.375e-06, eta: 4:24:27, time: 0.193, data_time: 0.008, memory: 52540, decode.loss_ce: 0.1798, decode.acc_seg: 92.4803, loss: 0.1798 +2023-03-05 06:35:15,353 - mmseg - INFO - Iter [92800/160000] lr: 9.375e-06, eta: 4:24:15, time: 0.242, data_time: 0.056, memory: 52540, decode.loss_ce: 0.1819, decode.acc_seg: 92.6227, loss: 0.1819 +2023-03-05 06:35:24,926 - mmseg - INFO - Iter [92850/160000] lr: 9.375e-06, eta: 4:24:02, time: 0.191, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1818, decode.acc_seg: 92.6131, loss: 0.1818 +2023-03-05 06:35:34,609 - mmseg - INFO - Iter [92900/160000] lr: 9.375e-06, eta: 4:23:49, time: 0.194, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1922, decode.acc_seg: 92.0325, loss: 0.1922 +2023-03-05 06:35:44,373 - mmseg - INFO - Iter [92950/160000] lr: 9.375e-06, eta: 4:23:35, time: 0.195, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1941, decode.acc_seg: 92.1927, loss: 0.1941 +2023-03-05 06:35:54,305 - mmseg - INFO - Exp name: ablation_segformer_mit_b2_segformer_head_unet_fc_small_multi_step_ade_pretrained_freeze_embed_160k_ade20k151_mask_finetune_maskreplace.py +2023-03-05 06:35:54,305 - mmseg - INFO - Iter [93000/160000] lr: 9.375e-06, eta: 4:23:22, time: 0.199, data_time: 0.008, memory: 52540, decode.loss_ce: 0.1835, decode.acc_seg: 92.4144, loss: 0.1835 +2023-03-05 06:36:04,101 - mmseg - INFO - Iter [93050/160000] lr: 9.375e-06, eta: 4:23:09, time: 0.196, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1776, decode.acc_seg: 92.6596, loss: 0.1776 +2023-03-05 06:36:14,109 - mmseg - INFO - Iter [93100/160000] lr: 9.375e-06, eta: 4:22:56, time: 0.200, data_time: 0.008, memory: 52540, decode.loss_ce: 0.1779, decode.acc_seg: 92.5854, loss: 0.1779 +2023-03-05 06:36:24,079 - mmseg - INFO - Iter [93150/160000] lr: 9.375e-06, eta: 4:22:43, time: 0.199, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1833, decode.acc_seg: 92.4838, loss: 0.1833 +2023-03-05 06:36:33,723 - mmseg - INFO - Iter [93200/160000] lr: 9.375e-06, eta: 4:22:29, time: 0.193, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1809, decode.acc_seg: 92.4818, loss: 0.1809 +2023-03-05 06:36:43,595 - mmseg - INFO - Iter [93250/160000] lr: 9.375e-06, eta: 4:22:16, time: 0.197, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1918, decode.acc_seg: 92.2190, loss: 0.1918 +2023-03-05 06:36:53,317 - mmseg - INFO - Iter [93300/160000] lr: 9.375e-06, eta: 4:22:03, time: 0.194, data_time: 0.008, memory: 52540, decode.loss_ce: 0.1876, decode.acc_seg: 92.3523, loss: 0.1876 +2023-03-05 06:37:03,141 - mmseg - INFO - Iter [93350/160000] lr: 9.375e-06, eta: 4:21:50, time: 0.196, data_time: 0.008, memory: 52540, decode.loss_ce: 0.1888, decode.acc_seg: 92.3397, loss: 0.1888 +2023-03-05 06:37:15,280 - mmseg - INFO - Iter [93400/160000] lr: 9.375e-06, eta: 4:21:38, time: 0.243, data_time: 0.055, memory: 52540, decode.loss_ce: 0.1846, decode.acc_seg: 92.4378, loss: 0.1846 +2023-03-05 06:37:24,912 - mmseg - INFO - Iter [93450/160000] lr: 9.375e-06, eta: 4:21:25, time: 0.193, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1846, decode.acc_seg: 92.4185, loss: 0.1846 +2023-03-05 06:37:34,442 - mmseg - INFO - Iter [93500/160000] lr: 9.375e-06, eta: 4:21:12, time: 0.191, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1779, decode.acc_seg: 92.5412, loss: 0.1779 +2023-03-05 06:37:44,240 - mmseg - INFO - Iter [93550/160000] lr: 9.375e-06, eta: 4:20:58, time: 0.196, data_time: 0.008, memory: 52540, decode.loss_ce: 0.1843, decode.acc_seg: 92.4307, loss: 0.1843 +2023-03-05 06:37:53,938 - mmseg - INFO - Iter [93600/160000] lr: 9.375e-06, eta: 4:20:45, time: 0.194, data_time: 0.008, memory: 52540, decode.loss_ce: 0.1877, decode.acc_seg: 92.3479, loss: 0.1877 +2023-03-05 06:38:03,539 - mmseg - INFO - Iter [93650/160000] lr: 9.375e-06, eta: 4:20:32, time: 0.192, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1787, decode.acc_seg: 92.5687, loss: 0.1787 +2023-03-05 06:38:13,685 - mmseg - INFO - Iter [93700/160000] lr: 9.375e-06, eta: 4:20:19, time: 0.203, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1888, decode.acc_seg: 92.2526, loss: 0.1888 +2023-03-05 06:38:23,477 - mmseg - INFO - Iter [93750/160000] lr: 9.375e-06, eta: 4:20:06, time: 0.196, data_time: 0.008, memory: 52540, decode.loss_ce: 0.1859, decode.acc_seg: 92.2453, loss: 0.1859 +2023-03-05 06:38:33,197 - mmseg - INFO - Iter [93800/160000] lr: 9.375e-06, eta: 4:19:52, time: 0.194, data_time: 0.008, memory: 52540, decode.loss_ce: 0.1847, decode.acc_seg: 92.4230, loss: 0.1847 +2023-03-05 06:38:42,967 - mmseg - INFO - Iter [93850/160000] lr: 9.375e-06, eta: 4:19:39, time: 0.195, data_time: 0.008, memory: 52540, decode.loss_ce: 0.1758, decode.acc_seg: 92.6345, loss: 0.1758 +2023-03-05 06:38:53,086 - mmseg - INFO - Iter [93900/160000] lr: 9.375e-06, eta: 4:19:26, time: 0.202, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1900, decode.acc_seg: 92.1899, loss: 0.1900 +2023-03-05 06:39:02,676 - mmseg - INFO - Iter [93950/160000] lr: 9.375e-06, eta: 4:19:13, time: 0.192, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1824, decode.acc_seg: 92.4028, loss: 0.1824 +2023-03-05 06:39:12,279 - mmseg - INFO - Exp name: ablation_segformer_mit_b2_segformer_head_unet_fc_small_multi_step_ade_pretrained_freeze_embed_160k_ade20k151_mask_finetune_maskreplace.py +2023-03-05 06:39:12,280 - mmseg - INFO - Iter [94000/160000] lr: 9.375e-06, eta: 4:19:00, time: 0.192, data_time: 0.008, memory: 52540, decode.loss_ce: 0.1876, decode.acc_seg: 92.2795, loss: 0.1876 +2023-03-05 06:39:24,350 - mmseg - INFO - Iter [94050/160000] lr: 9.375e-06, eta: 4:18:48, time: 0.241, data_time: 0.055, memory: 52540, decode.loss_ce: 0.1837, decode.acc_seg: 92.3986, loss: 0.1837 +2023-03-05 06:39:33,949 - mmseg - INFO - Iter [94100/160000] lr: 9.375e-06, eta: 4:18:35, time: 0.192, data_time: 0.008, memory: 52540, decode.loss_ce: 0.1805, decode.acc_seg: 92.5594, loss: 0.1805 +2023-03-05 06:39:43,508 - mmseg - INFO - Iter [94150/160000] lr: 9.375e-06, eta: 4:18:22, time: 0.191, data_time: 0.008, memory: 52540, decode.loss_ce: 0.1883, decode.acc_seg: 92.2242, loss: 0.1883 +2023-03-05 06:39:53,180 - mmseg - INFO - Iter [94200/160000] lr: 9.375e-06, eta: 4:18:08, time: 0.193, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1855, decode.acc_seg: 92.3749, loss: 0.1855 +2023-03-05 06:40:02,876 - mmseg - INFO - Iter [94250/160000] lr: 9.375e-06, eta: 4:17:55, time: 0.194, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1785, decode.acc_seg: 92.6095, loss: 0.1785 +2023-03-05 06:40:12,681 - mmseg - INFO - Iter [94300/160000] lr: 9.375e-06, eta: 4:17:42, time: 0.196, data_time: 0.008, memory: 52540, decode.loss_ce: 0.1885, decode.acc_seg: 92.3070, loss: 0.1885 +2023-03-05 06:40:22,369 - mmseg - INFO - Iter [94350/160000] lr: 9.375e-06, eta: 4:17:29, time: 0.194, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1790, decode.acc_seg: 92.5093, loss: 0.1790 +2023-03-05 06:40:32,197 - mmseg - INFO - Iter [94400/160000] lr: 9.375e-06, eta: 4:17:16, time: 0.197, data_time: 0.008, memory: 52540, decode.loss_ce: 0.1867, decode.acc_seg: 92.4159, loss: 0.1867 +2023-03-05 06:40:41,794 - mmseg - INFO - Iter [94450/160000] lr: 9.375e-06, eta: 4:17:02, time: 0.192, data_time: 0.008, memory: 52540, decode.loss_ce: 0.1926, decode.acc_seg: 92.2604, loss: 0.1926 +2023-03-05 06:40:51,380 - mmseg - INFO - Iter [94500/160000] lr: 9.375e-06, eta: 4:16:49, time: 0.192, data_time: 0.008, memory: 52540, decode.loss_ce: 0.1851, decode.acc_seg: 92.3319, loss: 0.1851 +2023-03-05 06:41:01,097 - mmseg - INFO - Iter [94550/160000] lr: 9.375e-06, eta: 4:16:36, time: 0.194, data_time: 0.008, memory: 52540, decode.loss_ce: 0.1909, decode.acc_seg: 92.2826, loss: 0.1909 +2023-03-05 06:41:10,905 - mmseg - INFO - Iter [94600/160000] lr: 9.375e-06, eta: 4:16:23, time: 0.196, data_time: 0.008, memory: 52540, decode.loss_ce: 0.1858, decode.acc_seg: 92.3331, loss: 0.1858 +2023-03-05 06:41:20,506 - mmseg - INFO - Iter [94650/160000] lr: 9.375e-06, eta: 4:16:10, time: 0.192, data_time: 0.008, memory: 52540, decode.loss_ce: 0.1817, decode.acc_seg: 92.5758, loss: 0.1817 +2023-03-05 06:41:32,754 - mmseg - INFO - Iter [94700/160000] lr: 9.375e-06, eta: 4:15:58, time: 0.245, data_time: 0.056, memory: 52540, decode.loss_ce: 0.1781, decode.acc_seg: 92.6125, loss: 0.1781 +2023-03-05 06:41:42,789 - mmseg - INFO - Iter [94750/160000] lr: 9.375e-06, eta: 4:15:45, time: 0.201, data_time: 0.008, memory: 52540, decode.loss_ce: 0.1901, decode.acc_seg: 92.0868, loss: 0.1901 +2023-03-05 06:41:52,525 - mmseg - INFO - Iter [94800/160000] lr: 9.375e-06, eta: 4:15:32, time: 0.195, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1927, decode.acc_seg: 91.9720, loss: 0.1927 +2023-03-05 06:42:02,249 - mmseg - INFO - Iter [94850/160000] lr: 9.375e-06, eta: 4:15:19, time: 0.194, data_time: 0.008, memory: 52540, decode.loss_ce: 0.1900, decode.acc_seg: 92.2503, loss: 0.1900 +2023-03-05 06:42:11,879 - mmseg - INFO - Iter [94900/160000] lr: 9.375e-06, eta: 4:15:06, time: 0.193, data_time: 0.008, memory: 52540, decode.loss_ce: 0.1957, decode.acc_seg: 92.0396, loss: 0.1957 +2023-03-05 06:42:21,689 - mmseg - INFO - Iter [94950/160000] lr: 9.375e-06, eta: 4:14:53, time: 0.196, data_time: 0.008, memory: 52540, decode.loss_ce: 0.1813, decode.acc_seg: 92.3959, loss: 0.1813 +2023-03-05 06:42:31,471 - mmseg - INFO - Exp name: ablation_segformer_mit_b2_segformer_head_unet_fc_small_multi_step_ade_pretrained_freeze_embed_160k_ade20k151_mask_finetune_maskreplace.py +2023-03-05 06:42:31,471 - mmseg - INFO - Iter [95000/160000] lr: 9.375e-06, eta: 4:14:39, time: 0.196, data_time: 0.008, memory: 52540, decode.loss_ce: 0.1854, decode.acc_seg: 92.3714, loss: 0.1854 +2023-03-05 06:42:41,192 - mmseg - INFO - Iter [95050/160000] lr: 9.375e-06, eta: 4:14:26, time: 0.194, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1834, decode.acc_seg: 92.3492, loss: 0.1834 +2023-03-05 06:42:50,939 - mmseg - INFO - Iter [95100/160000] lr: 9.375e-06, eta: 4:14:13, time: 0.195, data_time: 0.008, memory: 52540, decode.loss_ce: 0.1837, decode.acc_seg: 92.4134, loss: 0.1837 +2023-03-05 06:43:00,709 - mmseg - INFO - Iter [95150/160000] lr: 9.375e-06, eta: 4:14:00, time: 0.195, data_time: 0.008, memory: 52540, decode.loss_ce: 0.1856, decode.acc_seg: 92.2712, loss: 0.1856 +2023-03-05 06:43:10,412 - mmseg - INFO - Iter [95200/160000] lr: 9.375e-06, eta: 4:13:47, time: 0.194, data_time: 0.008, memory: 52540, decode.loss_ce: 0.1936, decode.acc_seg: 92.1071, loss: 0.1936 +2023-03-05 06:43:19,949 - mmseg - INFO - Iter [95250/160000] lr: 9.375e-06, eta: 4:13:34, time: 0.191, data_time: 0.008, memory: 52540, decode.loss_ce: 0.1854, decode.acc_seg: 92.3435, loss: 0.1854 +2023-03-05 06:43:32,064 - mmseg - INFO - Iter [95300/160000] lr: 9.375e-06, eta: 4:13:22, time: 0.242, data_time: 0.055, memory: 52540, decode.loss_ce: 0.1763, decode.acc_seg: 92.5664, loss: 0.1763 +2023-03-05 06:43:41,775 - mmseg - INFO - Iter [95350/160000] lr: 9.375e-06, eta: 4:13:09, time: 0.194, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1939, decode.acc_seg: 92.0477, loss: 0.1939 +2023-03-05 06:43:51,496 - mmseg - INFO - Iter [95400/160000] lr: 9.375e-06, eta: 4:12:56, time: 0.194, data_time: 0.008, memory: 52540, decode.loss_ce: 0.1843, decode.acc_seg: 92.5109, loss: 0.1843 +2023-03-05 06:44:01,231 - mmseg - INFO - Iter [95450/160000] lr: 9.375e-06, eta: 4:12:43, time: 0.194, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1847, decode.acc_seg: 92.4186, loss: 0.1847 +2023-03-05 06:44:10,879 - mmseg - INFO - Iter [95500/160000] lr: 9.375e-06, eta: 4:12:30, time: 0.193, data_time: 0.008, memory: 52540, decode.loss_ce: 0.1913, decode.acc_seg: 92.2209, loss: 0.1913 +2023-03-05 06:44:20,575 - mmseg - INFO - Iter [95550/160000] lr: 9.375e-06, eta: 4:12:17, time: 0.194, data_time: 0.008, memory: 52540, decode.loss_ce: 0.1909, decode.acc_seg: 92.1587, loss: 0.1909 +2023-03-05 06:44:30,293 - mmseg - INFO - Iter [95600/160000] lr: 9.375e-06, eta: 4:12:03, time: 0.194, data_time: 0.008, memory: 52540, decode.loss_ce: 0.1809, decode.acc_seg: 92.6559, loss: 0.1809 +2023-03-05 06:44:39,978 - mmseg - INFO - Iter [95650/160000] lr: 9.375e-06, eta: 4:11:50, time: 0.194, data_time: 0.008, memory: 52540, decode.loss_ce: 0.1802, decode.acc_seg: 92.5174, loss: 0.1802 +2023-03-05 06:44:49,494 - mmseg - INFO - Iter [95700/160000] lr: 9.375e-06, eta: 4:11:37, time: 0.190, data_time: 0.008, memory: 52540, decode.loss_ce: 0.1885, decode.acc_seg: 92.2993, loss: 0.1885 +2023-03-05 06:44:59,159 - mmseg - INFO - Iter [95750/160000] lr: 9.375e-06, eta: 4:11:24, time: 0.193, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1826, decode.acc_seg: 92.5664, loss: 0.1826 +2023-03-05 06:45:08,832 - mmseg - INFO - Iter [95800/160000] lr: 9.375e-06, eta: 4:11:11, time: 0.193, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1902, decode.acc_seg: 92.3191, loss: 0.1902 +2023-03-05 06:45:18,363 - mmseg - INFO - Iter [95850/160000] lr: 9.375e-06, eta: 4:10:58, time: 0.191, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1889, decode.acc_seg: 92.2798, loss: 0.1889 +2023-03-05 06:45:28,075 - mmseg - INFO - Iter [95900/160000] lr: 9.375e-06, eta: 4:10:45, time: 0.194, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1930, decode.acc_seg: 92.1423, loss: 0.1930 +2023-03-05 06:45:40,381 - mmseg - INFO - Iter [95950/160000] lr: 9.375e-06, eta: 4:10:33, time: 0.246, data_time: 0.054, memory: 52540, decode.loss_ce: 0.1804, decode.acc_seg: 92.5880, loss: 0.1804 +2023-03-05 06:45:50,013 - mmseg - INFO - Swap parameters (after train) after iter [96000] +2023-03-05 06:45:50,026 - mmseg - INFO - Saving checkpoint at 96000 iterations +2023-03-05 06:45:51,102 - mmseg - INFO - Exp name: ablation_segformer_mit_b2_segformer_head_unet_fc_small_multi_step_ade_pretrained_freeze_embed_160k_ade20k151_mask_finetune_maskreplace.py +2023-03-05 06:45:51,102 - mmseg - INFO - Iter [96000/160000] lr: 9.375e-06, eta: 4:10:21, time: 0.214, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1876, decode.acc_seg: 92.2529, loss: 0.1876 +2023-03-05 06:56:56,831 - mmseg - INFO - per class results: +2023-03-05 06:56:56,840 - mmseg - INFO - ++---------------------+-------------------------------------------------------------------+ +| Class | IoU 0,10,20,30,40,50,60,70,80,90,99 | ++---------------------+-------------------------------------------------------------------+ +| background | nan,nan,nan,nan,nan,nan,nan,nan,nan,nan,nan | +| wall | 77.49,77.51,77.53,77.54,77.55,77.57,77.59,77.6,77.6,77.6,77.63 | +| building | 81.67,81.67,81.67,81.68,81.7,81.69,81.69,81.68,81.68,81.68,81.68 | +| sky | 94.46,94.47,94.48,94.48,94.49,94.49,94.5,94.5,94.51,94.51,94.52 | +| floor | 81.54,81.56,81.56,81.59,81.61,81.6,81.62,81.62,81.62,81.63,81.63 | +| tree | 74.12,74.16,74.17,74.2,74.21,74.21,74.23,74.25,74.25,74.27,74.27 | +| ceiling | 85.05,85.09,85.13,85.16,85.2,85.21,85.22,85.25,85.24,85.24,85.27 | +| road | 82.19,82.21,82.25,82.21,82.2,82.15,82.12,82.12,82.11,82.11,82.13 | +| bed | 87.75,87.77,87.79,87.79,87.84,87.82,87.83,87.84,87.84,87.83,87.92 | +| windowpane | 60.43,60.46,60.46,60.47,60.52,60.53,60.55,60.57,60.56,60.58,60.63 | +| grass | 67.09,67.12,67.14,67.18,67.15,67.19,67.22,67.18,67.19,67.23,67.18 | +| cabinet | 60.43,60.5,60.54,60.63,60.68,60.77,60.91,60.97,61.06,61.09,61.16 | +| sidewalk | 64.74,64.78,64.82,64.74,64.74,64.62,64.59,64.57,64.54,64.53,64.51 | +| person | 79.77,79.81,79.85,79.9,79.91,79.93,79.96,79.96,79.97,79.94,79.95 | +| earth | 35.86,35.89,35.88,35.85,35.82,35.82,35.73,35.71,35.69,35.68,35.71 | +| door | 46.69,46.72,46.77,46.78,46.74,46.78,46.81,46.87,46.85,46.88,46.73 | +| table | 61.17,61.2,61.18,61.22,61.23,61.17,61.2,61.18,61.17,61.16,61.14 | +| mountain | 57.33,57.49,57.65,57.71,57.8,57.82,57.87,57.88,57.9,57.96,57.9 | +| plant | 49.4,49.41,49.37,49.4,49.42,49.42,49.46,49.46,49.47,49.45,49.43 | +| curtain | 73.98,74.04,74.12,74.2,74.3,74.41,74.48,74.56,74.56,74.55,74.6 | +| chair | 56.74,56.76,56.8,56.8,56.82,56.79,56.79,56.78,56.76,56.76,56.71 | +| car | 81.93,81.98,82.07,82.13,82.17,82.25,82.3,82.33,82.42,82.44,82.43 | +| water | 57.97,57.94,57.9,57.87,57.82,57.78,57.71,57.68,57.59,57.58,57.52 | +| painting | 70.2,70.13,70.11,70.06,70.06,70.09,70.07,70.04,70.03,70.04,69.93 | +| sofa | 64.37,64.44,64.47,64.5,64.51,64.54,64.57,64.58,64.63,64.69,64.65 | +| shelf | 44.08,44.09,44.07,44.11,44.18,44.17,44.11,44.17,44.22,44.21,44.28 | +| house | 42.17,42.22,42.35,42.45,42.51,42.4,42.45,42.27,42.05,42.04,42.03 | +| sea | 60.61,60.61,60.58,60.64,60.65,60.63,60.62,60.61,60.57,60.51,60.49 | +| mirror | 66.19,66.16,66.08,65.99,65.96,65.89,65.82,65.75,65.7,65.64,65.91 | +| rug | 64.73,64.76,64.7,64.62,64.71,64.64,64.62,64.66,64.61,64.6,64.7 | +| field | 30.02,30.06,30.04,30.07,30.07,30.1,30.16,30.17,30.18,30.17,30.19 | +| armchair | 37.94,38.04,37.99,38.12,38.06,37.97,37.94,37.96,38.03,38.12,38.12 | +| seat | 65.88,65.96,66.04,66.1,66.15,66.19,66.17,66.22,66.23,66.24,66.32 | +| fence | 41.1,41.11,41.1,41.12,41.15,41.16,41.27,41.27,41.31,41.36,41.35 | +| desk | 46.58,46.71,46.85,47.0,47.04,47.09,47.16,47.19,47.21,47.23,47.35 | +| rock | 37.1,37.17,37.19,37.26,37.23,37.22,37.29,37.31,37.39,37.41,37.41 | +| wardrobe | 57.13,57.13,57.04,57.15,57.08,57.02,56.99,56.88,56.88,56.89,56.9 | +| lamp | 62.24,62.26,62.26,62.35,62.35,62.37,62.26,62.22,62.25,62.31,62.32 | +| bathtub | 77.58,77.63,77.68,77.62,77.71,77.74,77.85,77.92,78.03,78.08,78.06 | +| railing | 33.25,33.29,33.25,33.24,33.19,33.12,33.15,33.13,33.05,33.0,33.19 | +| cushion | 57.22,57.28,57.41,57.54,57.64,57.69,57.65,57.73,57.77,57.85,57.92 | +| base | 21.33,21.6,21.79,21.71,21.85,21.95,21.93,21.98,21.91,21.88,21.94 | +| box | 23.63,23.72,23.82,23.98,24.26,24.24,24.32,24.42,24.44,24.4,24.42 | +| column | 46.19,46.26,46.43,46.62,46.53,46.77,46.8,46.86,46.83,46.91,46.89 | +| signboard | 37.77,37.76,37.85,37.75,37.81,37.85,37.78,37.72,37.74,37.7,37.63 | +| chest of drawers | 36.52,36.49,36.34,36.24,36.33,36.68,37.07,37.21,37.31,37.35,37.33 | +| counter | 32.1,32.11,32.14,32.18,32.22,32.22,32.26,32.27,32.26,32.29,32.3 | +| sand | 42.89,42.84,42.77,42.76,42.74,42.73,42.71,42.46,42.5,42.44,42.31 | +| sink | 68.41,68.43,68.32,68.29,68.3,68.35,68.31,68.26,68.23,68.23,68.19 | +| skyscraper | 51.79,50.99,50.55,50.17,49.71,49.51,49.36,49.32,49.23,49.19,49.31 | +| fireplace | 74.44,74.53,74.57,74.69,74.78,75.07,75.51,75.79,75.53,75.56,75.65 | +| refrigerator | 74.49,74.82,75.0,75.14,75.21,75.31,75.42,75.49,75.56,75.38,75.72 | +| grandstand | 51.89,51.96,51.96,51.99,52.24,52.29,52.59,52.72,52.7,52.89,52.99 | +| path | 22.21,22.3,22.44,22.4,22.48,22.59,22.63,22.7,22.73,22.77,22.52 | +| stairs | 32.44,32.35,32.15,31.9,31.92,31.82,31.68,31.64,31.59,31.59,31.54 | +| runway | 67.95,67.98,68.01,68.06,68.08,68.1,68.1,68.09,68.12,68.14,68.13 | +| case | 47.76,47.88,48.15,48.16,48.22,48.44,48.34,48.45,48.42,48.47,48.52 | +| pool table | 91.2,91.21,91.2,91.31,91.28,91.35,91.37,91.4,91.48,91.49,91.57 | +| pillow | 61.95,62.07,62.27,62.12,62.44,62.31,62.25,62.23,62.34,62.34,62.42 | +| screen door | 69.66,69.51,69.62,69.52,69.44,69.48,69.67,69.44,69.37,69.34,69.24 | +| stairway | 23.83,23.85,23.81,23.72,23.53,23.46,23.35,23.26,23.23,23.15,23.21 | +| river | 12.04,12.03,12.01,12.01,12.0,11.95,11.94,11.93,11.92,11.93,11.89 | +| bridge | 31.52,31.69,31.77,31.85,31.96,31.9,32.01,31.94,31.9,31.83,31.86 | +| bookcase | 47.48,47.55,47.68,47.64,47.97,47.98,47.82,47.97,47.86,47.98,47.73 | +| blind | 40.66,40.5,40.33,40.4,40.65,40.76,40.79,41.02,41.11,41.24,41.65 | +| coffee table | 52.25,52.24,52.17,52.13,52.12,52.03,52.13,52.09,52.03,52.14,52.21 | +| toilet | 83.55,83.51,83.51,83.47,83.46,83.48,83.44,83.45,83.43,83.45,83.41 | +| flower | 38.75,38.75,38.72,38.74,38.73,38.75,38.61,38.73,38.72,38.71,38.78 | +| book | 45.86,45.84,45.81,45.81,45.76,45.68,45.65,45.56,45.57,45.33,45.36 | +| hill | 15.81,15.93,15.94,16.03,16.09,16.19,16.15,16.16,16.23,16.18,16.19 | +| bench | 43.41,43.24,43.16,43.11,42.95,42.84,42.69,42.67,42.65,42.95,42.52 | +| countertop | 53.94,54.01,54.08,54.1,53.89,53.7,53.71,53.85,53.83,53.9,54.05 | +| stove | 71.74,71.69,71.66,71.55,71.54,71.21,71.04,70.93,70.7,70.59,70.5 | +| palm | 47.86,47.94,47.93,47.96,47.96,48.09,48.07,48.12,48.18,48.18,48.24 | +| kitchen island | 44.12,44.42,44.55,44.81,44.84,45.03,45.12,45.24,45.42,45.46,46.14 | +| computer | 59.79,59.77,59.76,59.71,59.66,59.65,59.58,59.49,59.51,59.44,59.51 | +| swivel chair | 43.83,43.91,43.94,44.19,44.37,44.34,44.39,44.38,44.48,44.29,44.43 | +| boat | 71.08,71.17,71.31,71.46,71.71,71.85,71.94,72.03,72.13,72.13,72.16 | +| bar | 23.92,23.98,24.04,24.03,24.1,24.09,24.13,24.16,24.13,24.13,24.15 | +| arcade machine | 71.21,71.45,71.63,71.93,71.88,72.35,72.3,72.53,72.59,72.48,72.33 | +| hovel | 31.69,31.45,31.29,31.07,30.72,30.73,29.98,30.07,29.74,29.39,28.65 | +| bus | 77.05,77.3,77.39,77.48,77.81,77.91,78.01,78.06,78.2,78.19,78.4 | +| towel | 64.2,64.23,64.24,64.32,64.33,64.33,64.36,64.35,64.32,64.38,64.49 | +| light | 55.51,55.64,55.71,55.78,55.91,55.93,55.95,56.1,56.06,56.21,56.13 | +| truck | 18.05,17.91,17.94,17.89,17.93,17.91,18.05,17.89,17.9,17.91,17.93 | +| tower | 6.78,6.85,6.73,6.61,6.95,7.07,6.96,7.07,7.04,7.15,7.2 | +| chandelier | 65.4,65.47,65.6,65.62,65.65,65.75,65.64,65.72,65.72,65.83,65.91 | +| awning | 22.68,22.82,22.87,23.12,23.22,23.15,23.4,23.42,23.61,23.58,23.65 | +| streetlight | 27.22,27.25,27.2,27.36,27.48,27.43,27.6,27.65,27.64,27.77,27.92 | +| booth | 44.79,45.02,45.19,45.36,45.58,45.77,45.86,46.02,46.22,46.23,46.23 | +| television receiver | 65.14,65.19,65.27,65.25,65.28,65.24,65.2,65.19,65.17,65.06,65.04 | +| airplane | 58.6,58.57,58.65,58.6,58.64,58.66,58.72,58.74,58.71,58.75,58.75 | +| dirt track | 19.48,19.57,19.46,19.66,20.07,19.9,20.03,20.08,20.05,19.86,19.78 | +| apparel | 34.0,34.11,34.26,34.48,34.53,34.72,34.88,35.23,35.36,35.47,35.54 | +| pole | 18.16,18.15,18.2,18.39,18.45,18.54,18.4,18.45,18.37,18.49,18.4 | +| land | 3.96,3.95,3.93,3.86,3.9,3.96,3.97,3.96,3.93,4.01,3.91 | +| bannister | 12.69,12.78,12.73,13.02,13.0,12.89,12.98,12.86,12.83,12.85,12.76 | +| escalator | 25.22,25.19,25.18,25.19,25.18,25.16,25.26,25.2,25.2,25.23,25.24 | +| ottoman | 44.76,44.76,44.79,44.57,44.56,44.85,44.37,44.27,44.14,43.94,44.56 | +| bottle | 36.18,36.18,36.19,36.14,36.16,36.25,36.15,36.21,36.32,36.35,36.31 | +| buffet | 40.04,40.52,41.02,41.36,41.86,41.89,42.17,42.2,42.15,42.37,42.0 | +| poster | 23.85,23.88,23.85,23.84,23.85,23.87,23.85,23.87,23.87,23.92,23.87 | +| stage | 14.12,14.13,14.22,14.22,14.18,14.35,14.31,14.2,14.05,13.93,13.94 | +| van | 38.28,38.26,38.33,38.36,38.36,38.48,38.46,38.42,38.58,38.51,38.64 | +| ship | 79.57,80.23,80.55,81.06,81.24,81.45,81.89,81.98,82.13,82.22,82.35 | +| fountain | 21.13,21.46,21.56,21.85,21.92,22.01,22.09,22.31,22.37,22.61,22.5 | +| conveyer belt | 85.84,85.9,85.81,85.85,85.84,85.64,85.55,85.58,85.73,85.76,85.58 | +| canopy | 24.41,24.66,24.71,24.69,24.82,24.79,24.83,24.91,24.86,24.93,24.92 | +| washer | 74.56,74.5,74.52,74.52,74.82,74.81,75.07,75.03,75.11,75.33,75.41 | +| plaything | 21.48,21.57,21.5,21.64,21.45,21.73,21.6,21.57,21.56,21.48,21.36 | +| swimming pool | 73.7,73.83,74.39,74.53,74.88,74.97,75.3,75.28,75.35,75.42,75.52 | +| stool | 45.21,45.18,45.16,45.17,45.12,45.14,45.09,45.1,44.99,45.05,44.81 | +| barrel | 53.88,54.87,56.12,56.39,57.74,58.8,59.87,59.61,59.38,59.07,59.06 | +| basket | 24.9,24.97,25.07,25.07,25.03,25.12,25.07,25.14,25.1,25.1,25.01 | +| waterfall | 49.41,49.31,49.25,49.12,49.05,48.85,48.7,48.9,48.66,48.78,48.94 | +| tent | 95.19,95.22,95.24,95.26,95.31,95.29,95.33,95.29,95.34,95.33,95.33 | +| bag | 14.81,14.84,14.95,14.96,15.08,15.12,15.17,15.24,15.29,15.3,15.26 | +| minibike | 63.83,63.77,63.79,63.65,63.75,63.62,63.59,63.45,63.45,63.43,63.25 | +| cradle | 84.01,84.24,84.45,84.74,84.78,84.79,84.92,85.01,85.01,85.2,85.22 | +| oven | 47.24,47.18,47.26,47.36,47.34,47.55,47.62,47.62,47.77,48.11,48.51 | +| ball | 41.96,42.16,42.43,42.74,42.95,43.09,43.44,43.68,44.03,44.3,44.54 | +| food | 52.64,52.43,52.4,52.18,52.12,52.14,51.87,51.68,51.43,51.26,51.45 | +| step | 4.63,4.7,4.82,4.68,4.7,4.84,4.68,4.79,4.65,4.67,4.69 | +| tank | 52.12,52.05,52.12,51.89,51.96,51.49,51.34,51.67,51.23,51.22,51.0 | +| trade name | 27.4,27.73,27.58,27.87,27.84,27.74,27.74,27.61,27.78,27.58,27.61 | +| microwave | 70.67,70.9,71.03,71.15,71.23,71.28,71.41,71.5,71.61,71.71,71.76 | +| pot | 30.42,30.56,30.61,30.59,30.72,30.82,30.81,30.98,30.92,31.01,30.99 | +| animal | 54.29,54.26,54.26,54.24,54.29,54.25,54.17,54.26,54.23,54.2,54.22 | +| bicycle | 53.66,53.82,54.07,54.19,54.49,54.37,54.6,54.71,54.68,54.72,54.96 | +| lake | 57.57,57.61,57.63,57.66,57.68,57.68,57.69,57.72,57.74,57.75,57.71 | +| dishwasher | 65.99,66.24,66.37,66.95,66.48,66.94,67.1,67.11,67.27,67.14,65.56 | +| screen | 67.27,66.97,66.77,66.5,66.68,67.03,66.91,66.98,66.86,66.81,66.42 | +| blanket | 19.32,19.54,19.54,19.76,19.83,19.83,20.02,20.03,20.08,20.2,20.15 | +| sculpture | 56.95,56.95,56.94,57.14,57.1,57.44,57.42,57.56,57.64,57.72,57.88 | +| hood | 60.68,60.87,60.9,60.97,60.88,61.09,61.17,61.0,61.14,61.03,61.07 | +| sconce | 42.49,42.53,42.79,42.84,43.01,42.98,43.17,43.44,43.44,43.47,43.6 | +| vase | 37.04,37.37,37.55,37.64,37.81,37.97,38.14,38.11,38.17,38.11,38.34 | +| traffic light | 31.96,32.13,32.06,32.13,32.29,32.51,32.34,32.33,32.27,32.19,32.22 | +| tray | 7.97,8.05,8.09,8.11,8.12,8.31,8.24,8.31,8.3,8.08,8.44 | +| ashcan | 40.49,40.56,40.63,40.63,40.64,40.78,40.98,40.72,40.75,40.7,40.77 | +| fan | 57.93,58.07,57.96,58.14,58.37,58.49,58.44,58.65,58.72,58.65,58.8 | +| pier | 49.13,49.32,49.71,49.87,50.04,50.31,50.32,50.74,50.76,50.94,51.03 | +| crt screen | 9.83,9.78,9.81,9.89,9.89,9.99,9.95,9.91,10.0,9.99,10.0 | +| plate | 53.23,53.28,53.25,53.24,53.24,53.27,53.09,53.24,53.22,53.18,53.17 | +| monitor | 31.76,31.74,31.71,31.96,31.8,31.52,31.43,31.23,31.31,31.19,30.91 | +| bulletin board | 37.79,37.69,37.73,37.58,37.89,37.74,37.64,37.76,37.59,37.71,37.62 | +| shower | 2.17,2.15,2.14,2.19,2.17,2.17,2.17,2.16,2.17,2.12,2.2 | +| radiator | 62.7,62.83,62.89,62.87,63.27,63.15,63.23,63.2,63.44,63.47,63.85 | +| glass | 14.04,13.96,13.9,13.92,13.83,13.83,13.8,13.72,13.64,13.61,13.62 | +| clock | 36.85,36.89,36.87,36.74,36.38,36.73,36.55,36.52,36.1,36.1,36.12 | +| flag | 36.18,36.14,36.0,35.99,35.97,35.95,35.98,35.9,35.86,35.9,35.91 | ++---------------------+-------------------------------------------------------------------+ +2023-03-05 06:56:56,840 - mmseg - INFO - Summary: +2023-03-05 06:56:56,840 - mmseg - INFO - ++------------------------------------------------------------------+ +| mIoU 0,10,20,30,40,50,60,70,80,90,99 | ++------------------------------------------------------------------+ +| 48.85,48.91,48.95,48.99,49.04,49.08,49.1,49.13,49.13,49.13,49.14 | ++------------------------------------------------------------------+ +2023-03-05 06:56:56,840 - mmseg - INFO - Exp name: ablation_segformer_mit_b2_segformer_head_unet_fc_small_multi_step_ade_pretrained_freeze_embed_160k_ade20k151_mask_finetune_maskreplace.py +2023-03-05 06:56:56,840 - mmseg - INFO - Iter(val) [250] mIoU: [0.4885, 0.4891, 0.4895, 0.4899, 0.4904, 0.4908, 0.491, 0.4913, 0.4913, 0.4913, 0.4914], copy_paste: 48.85,48.91,48.95,48.99,49.04,49.08,49.1,49.13,49.13,49.13,49.14 +2023-03-05 06:56:56,847 - mmseg - INFO - Swap parameters (before train) before iter [96001] +2023-03-05 06:57:07,035 - mmseg - INFO - Iter [96050/160000] lr: 9.375e-06, eta: 4:17:31, time: 13.519, data_time: 13.322, memory: 52540, decode.loss_ce: 0.1995, decode.acc_seg: 91.8404, loss: 0.1995 +2023-03-05 06:57:16,953 - mmseg - INFO - Iter [96100/160000] lr: 9.375e-06, eta: 4:17:18, time: 0.198, data_time: 0.008, memory: 52540, decode.loss_ce: 0.1783, decode.acc_seg: 92.6856, loss: 0.1783 +2023-03-05 06:57:26,743 - mmseg - INFO - Iter [96150/160000] lr: 9.375e-06, eta: 4:17:04, time: 0.196, data_time: 0.008, memory: 52540, decode.loss_ce: 0.1945, decode.acc_seg: 91.8959, loss: 0.1945 +2023-03-05 06:57:36,925 - mmseg - INFO - Iter [96200/160000] lr: 9.375e-06, eta: 4:16:51, time: 0.204, data_time: 0.008, memory: 52540, decode.loss_ce: 0.1893, decode.acc_seg: 92.1587, loss: 0.1893 +2023-03-05 06:57:46,993 - mmseg - INFO - Iter [96250/160000] lr: 9.375e-06, eta: 4:16:37, time: 0.202, data_time: 0.008, memory: 52540, decode.loss_ce: 0.1831, decode.acc_seg: 92.4818, loss: 0.1831 +2023-03-05 06:57:56,861 - mmseg - INFO - Iter [96300/160000] lr: 9.375e-06, eta: 4:16:24, time: 0.197, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1795, decode.acc_seg: 92.7022, loss: 0.1795 +2023-03-05 06:58:06,398 - mmseg - INFO - Iter [96350/160000] lr: 9.375e-06, eta: 4:16:10, time: 0.191, data_time: 0.008, memory: 52540, decode.loss_ce: 0.1930, decode.acc_seg: 92.1239, loss: 0.1930 +2023-03-05 06:58:15,988 - mmseg - INFO - Iter [96400/160000] lr: 9.375e-06, eta: 4:15:56, time: 0.192, data_time: 0.008, memory: 52540, decode.loss_ce: 0.1899, decode.acc_seg: 92.2295, loss: 0.1899 +2023-03-05 06:58:25,605 - mmseg - INFO - Iter [96450/160000] lr: 9.375e-06, eta: 4:15:43, time: 0.192, data_time: 0.008, memory: 52540, decode.loss_ce: 0.1840, decode.acc_seg: 92.3583, loss: 0.1840 +2023-03-05 06:58:35,253 - mmseg - INFO - Iter [96500/160000] lr: 9.375e-06, eta: 4:15:29, time: 0.193, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1772, decode.acc_seg: 92.6633, loss: 0.1772 +2023-03-05 06:58:47,288 - mmseg - INFO - Iter [96550/160000] lr: 9.375e-06, eta: 4:15:17, time: 0.241, data_time: 0.055, memory: 52540, decode.loss_ce: 0.1883, decode.acc_seg: 92.2297, loss: 0.1883 +2023-03-05 06:58:56,942 - mmseg - INFO - Iter [96600/160000] lr: 9.375e-06, eta: 4:15:03, time: 0.193, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1858, decode.acc_seg: 92.3818, loss: 0.1858 +2023-03-05 06:59:06,692 - mmseg - INFO - Iter [96650/160000] lr: 9.375e-06, eta: 4:14:50, time: 0.195, data_time: 0.008, memory: 52540, decode.loss_ce: 0.1819, decode.acc_seg: 92.3478, loss: 0.1819 +2023-03-05 06:59:16,618 - mmseg - INFO - Iter [96700/160000] lr: 9.375e-06, eta: 4:14:36, time: 0.198, data_time: 0.008, memory: 52540, decode.loss_ce: 0.1851, decode.acc_seg: 92.3170, loss: 0.1851 +2023-03-05 06:59:26,308 - mmseg - INFO - Iter [96750/160000] lr: 9.375e-06, eta: 4:14:23, time: 0.194, data_time: 0.008, memory: 52540, decode.loss_ce: 0.1889, decode.acc_seg: 92.4271, loss: 0.1889 +2023-03-05 06:59:35,987 - mmseg - INFO - Iter [96800/160000] lr: 9.375e-06, eta: 4:14:09, time: 0.194, data_time: 0.008, memory: 52540, decode.loss_ce: 0.1874, decode.acc_seg: 92.2540, loss: 0.1874 +2023-03-05 06:59:45,850 - mmseg - INFO - Iter [96850/160000] lr: 9.375e-06, eta: 4:13:55, time: 0.197, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1818, decode.acc_seg: 92.4995, loss: 0.1818 +2023-03-05 06:59:55,592 - mmseg - INFO - Iter [96900/160000] lr: 9.375e-06, eta: 4:13:42, time: 0.195, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1832, decode.acc_seg: 92.5287, loss: 0.1832 +2023-03-05 07:00:05,145 - mmseg - INFO - Iter [96950/160000] lr: 9.375e-06, eta: 4:13:28, time: 0.191, data_time: 0.008, memory: 52540, decode.loss_ce: 0.1896, decode.acc_seg: 92.1912, loss: 0.1896 +2023-03-05 07:00:14,710 - mmseg - INFO - Exp name: ablation_segformer_mit_b2_segformer_head_unet_fc_small_multi_step_ade_pretrained_freeze_embed_160k_ade20k151_mask_finetune_maskreplace.py +2023-03-05 07:00:14,710 - mmseg - INFO - Iter [97000/160000] lr: 9.375e-06, eta: 4:13:14, time: 0.191, data_time: 0.008, memory: 52540, decode.loss_ce: 0.1828, decode.acc_seg: 92.5523, loss: 0.1828 +2023-03-05 07:00:24,302 - mmseg - INFO - Iter [97050/160000] lr: 9.375e-06, eta: 4:13:01, time: 0.192, data_time: 0.008, memory: 52540, decode.loss_ce: 0.1875, decode.acc_seg: 92.2670, loss: 0.1875 +2023-03-05 07:00:33,936 - mmseg - INFO - Iter [97100/160000] lr: 9.375e-06, eta: 4:12:47, time: 0.193, data_time: 0.008, memory: 52540, decode.loss_ce: 0.1860, decode.acc_seg: 92.3532, loss: 0.1860 +2023-03-05 07:00:43,747 - mmseg - INFO - Iter [97150/160000] lr: 9.375e-06, eta: 4:12:34, time: 0.196, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1931, decode.acc_seg: 92.1943, loss: 0.1931 +2023-03-05 07:00:55,918 - mmseg - INFO - Iter [97200/160000] lr: 9.375e-06, eta: 4:12:22, time: 0.243, data_time: 0.057, memory: 52540, decode.loss_ce: 0.1895, decode.acc_seg: 92.2261, loss: 0.1895 +2023-03-05 07:01:05,524 - mmseg - INFO - Iter [97250/160000] lr: 9.375e-06, eta: 4:12:08, time: 0.192, data_time: 0.008, memory: 52540, decode.loss_ce: 0.1850, decode.acc_seg: 92.3763, loss: 0.1850 +2023-03-05 07:01:15,230 - mmseg - INFO - Iter [97300/160000] lr: 9.375e-06, eta: 4:11:55, time: 0.194, data_time: 0.008, memory: 52540, decode.loss_ce: 0.1910, decode.acc_seg: 92.1681, loss: 0.1910 +2023-03-05 07:01:24,778 - mmseg - INFO - Iter [97350/160000] lr: 9.375e-06, eta: 4:11:41, time: 0.191, data_time: 0.008, memory: 52540, decode.loss_ce: 0.1903, decode.acc_seg: 92.3804, loss: 0.1903 +2023-03-05 07:01:34,456 - mmseg - INFO - Iter [97400/160000] lr: 9.375e-06, eta: 4:11:27, time: 0.194, data_time: 0.008, memory: 52540, decode.loss_ce: 0.1826, decode.acc_seg: 92.3958, loss: 0.1826 +2023-03-05 07:01:44,013 - mmseg - INFO - Iter [97450/160000] lr: 9.375e-06, eta: 4:11:14, time: 0.191, data_time: 0.008, memory: 52540, decode.loss_ce: 0.1784, decode.acc_seg: 92.5801, loss: 0.1784 +2023-03-05 07:01:53,750 - mmseg - INFO - Iter [97500/160000] lr: 9.375e-06, eta: 4:11:00, time: 0.195, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1833, decode.acc_seg: 92.3893, loss: 0.1833 +2023-03-05 07:02:03,275 - mmseg - INFO - Iter [97550/160000] lr: 9.375e-06, eta: 4:10:46, time: 0.190, data_time: 0.008, memory: 52540, decode.loss_ce: 0.1854, decode.acc_seg: 92.4361, loss: 0.1854 +2023-03-05 07:02:13,205 - mmseg - INFO - Iter [97600/160000] lr: 9.375e-06, eta: 4:10:33, time: 0.199, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1913, decode.acc_seg: 92.2231, loss: 0.1913 +2023-03-05 07:02:22,846 - mmseg - INFO - Iter [97650/160000] lr: 9.375e-06, eta: 4:10:19, time: 0.193, data_time: 0.008, memory: 52540, decode.loss_ce: 0.1872, decode.acc_seg: 92.3607, loss: 0.1872 +2023-03-05 07:02:32,384 - mmseg - INFO - Iter [97700/160000] lr: 9.375e-06, eta: 4:10:06, time: 0.191, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1926, decode.acc_seg: 92.1626, loss: 0.1926 +2023-03-05 07:02:41,894 - mmseg - INFO - Iter [97750/160000] lr: 9.375e-06, eta: 4:09:52, time: 0.190, data_time: 0.008, memory: 52540, decode.loss_ce: 0.1850, decode.acc_seg: 92.4417, loss: 0.1850 +2023-03-05 07:02:51,399 - mmseg - INFO - Iter [97800/160000] lr: 9.375e-06, eta: 4:09:38, time: 0.190, data_time: 0.008, memory: 52540, decode.loss_ce: 0.1843, decode.acc_seg: 92.5316, loss: 0.1843 +2023-03-05 07:03:03,559 - mmseg - INFO - Iter [97850/160000] lr: 9.375e-06, eta: 4:09:27, time: 0.243, data_time: 0.056, memory: 52540, decode.loss_ce: 0.1933, decode.acc_seg: 92.2234, loss: 0.1933 +2023-03-05 07:03:13,203 - mmseg - INFO - Iter [97900/160000] lr: 9.375e-06, eta: 4:09:13, time: 0.193, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1914, decode.acc_seg: 91.9834, loss: 0.1914 +2023-03-05 07:03:22,884 - mmseg - INFO - Iter [97950/160000] lr: 9.375e-06, eta: 4:08:59, time: 0.194, data_time: 0.008, memory: 52540, decode.loss_ce: 0.1835, decode.acc_seg: 92.4290, loss: 0.1835 +2023-03-05 07:03:32,562 - mmseg - INFO - Exp name: ablation_segformer_mit_b2_segformer_head_unet_fc_small_multi_step_ade_pretrained_freeze_embed_160k_ade20k151_mask_finetune_maskreplace.py +2023-03-05 07:03:32,562 - mmseg - INFO - Iter [98000/160000] lr: 9.375e-06, eta: 4:08:46, time: 0.194, data_time: 0.008, memory: 52540, decode.loss_ce: 0.1823, decode.acc_seg: 92.4988, loss: 0.1823 +2023-03-05 07:03:42,530 - mmseg - INFO - Iter [98050/160000] lr: 9.375e-06, eta: 4:08:33, time: 0.199, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1948, decode.acc_seg: 92.1085, loss: 0.1948 +2023-03-05 07:03:52,272 - mmseg - INFO - Iter [98100/160000] lr: 9.375e-06, eta: 4:08:19, time: 0.195, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1927, decode.acc_seg: 92.1946, loss: 0.1927 +2023-03-05 07:04:02,071 - mmseg - INFO - Iter [98150/160000] lr: 9.375e-06, eta: 4:08:06, time: 0.196, data_time: 0.008, memory: 52540, decode.loss_ce: 0.1833, decode.acc_seg: 92.5906, loss: 0.1833 +2023-03-05 07:04:11,919 - mmseg - INFO - Iter [98200/160000] lr: 9.375e-06, eta: 4:07:52, time: 0.197, data_time: 0.008, memory: 52540, decode.loss_ce: 0.1772, decode.acc_seg: 92.6573, loss: 0.1772 +2023-03-05 07:04:21,506 - mmseg - INFO - Iter [98250/160000] lr: 9.375e-06, eta: 4:07:39, time: 0.192, data_time: 0.008, memory: 52540, decode.loss_ce: 0.1896, decode.acc_seg: 92.3446, loss: 0.1896 +2023-03-05 07:04:31,021 - mmseg - INFO - Iter [98300/160000] lr: 9.375e-06, eta: 4:07:25, time: 0.190, data_time: 0.008, memory: 52540, decode.loss_ce: 0.1858, decode.acc_seg: 92.4277, loss: 0.1858 +2023-03-05 07:04:40,758 - mmseg - INFO - Iter [98350/160000] lr: 9.375e-06, eta: 4:07:12, time: 0.195, data_time: 0.008, memory: 52540, decode.loss_ce: 0.1767, decode.acc_seg: 92.5825, loss: 0.1767 +2023-03-05 07:04:50,754 - mmseg - INFO - Iter [98400/160000] lr: 9.375e-06, eta: 4:06:58, time: 0.200, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1859, decode.acc_seg: 92.4384, loss: 0.1859 +2023-03-05 07:05:03,046 - mmseg - INFO - Iter [98450/160000] lr: 9.375e-06, eta: 4:06:46, time: 0.246, data_time: 0.056, memory: 52540, decode.loss_ce: 0.1827, decode.acc_seg: 92.3612, loss: 0.1827 +2023-03-05 07:05:12,744 - mmseg - INFO - Iter [98500/160000] lr: 9.375e-06, eta: 4:06:33, time: 0.194, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1869, decode.acc_seg: 92.4315, loss: 0.1869 +2023-03-05 07:05:22,374 - mmseg - INFO - Iter [98550/160000] lr: 9.375e-06, eta: 4:06:19, time: 0.193, data_time: 0.008, memory: 52540, decode.loss_ce: 0.1937, decode.acc_seg: 92.0087, loss: 0.1937 +2023-03-05 07:05:31,909 - mmseg - INFO - Iter [98600/160000] lr: 9.375e-06, eta: 4:06:06, time: 0.191, data_time: 0.008, memory: 52540, decode.loss_ce: 0.1862, decode.acc_seg: 92.3386, loss: 0.1862 +2023-03-05 07:05:41,639 - mmseg - INFO - Iter [98650/160000] lr: 9.375e-06, eta: 4:05:52, time: 0.194, data_time: 0.008, memory: 52540, decode.loss_ce: 0.1818, decode.acc_seg: 92.4364, loss: 0.1818 +2023-03-05 07:05:51,211 - mmseg - INFO - Iter [98700/160000] lr: 9.375e-06, eta: 4:05:39, time: 0.192, data_time: 0.008, memory: 52540, decode.loss_ce: 0.1868, decode.acc_seg: 92.3235, loss: 0.1868 +2023-03-05 07:06:01,232 - mmseg - INFO - Iter [98750/160000] lr: 9.375e-06, eta: 4:05:26, time: 0.200, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1819, decode.acc_seg: 92.5522, loss: 0.1819 +2023-03-05 07:06:11,309 - mmseg - INFO - Iter [98800/160000] lr: 9.375e-06, eta: 4:05:12, time: 0.202, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1951, decode.acc_seg: 92.0192, loss: 0.1951 +2023-03-05 07:06:21,178 - mmseg - INFO - Iter [98850/160000] lr: 9.375e-06, eta: 4:04:59, time: 0.197, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1902, decode.acc_seg: 92.1977, loss: 0.1902 +2023-03-05 07:06:30,758 - mmseg - INFO - Iter [98900/160000] lr: 9.375e-06, eta: 4:04:45, time: 0.192, data_time: 0.008, memory: 52540, decode.loss_ce: 0.1829, decode.acc_seg: 92.3884, loss: 0.1829 +2023-03-05 07:06:40,565 - mmseg - INFO - Iter [98950/160000] lr: 9.375e-06, eta: 4:04:32, time: 0.196, data_time: 0.008, memory: 52540, decode.loss_ce: 0.1860, decode.acc_seg: 92.5394, loss: 0.1860 +2023-03-05 07:06:50,422 - mmseg - INFO - Exp name: ablation_segformer_mit_b2_segformer_head_unet_fc_small_multi_step_ade_pretrained_freeze_embed_160k_ade20k151_mask_finetune_maskreplace.py +2023-03-05 07:06:50,422 - mmseg - INFO - Iter [99000/160000] lr: 9.375e-06, eta: 4:04:19, time: 0.197, data_time: 0.008, memory: 52540, decode.loss_ce: 0.1832, decode.acc_seg: 92.4021, loss: 0.1832 +2023-03-05 07:07:00,242 - mmseg - INFO - Iter [99050/160000] lr: 9.375e-06, eta: 4:04:05, time: 0.197, data_time: 0.008, memory: 52540, decode.loss_ce: 0.1812, decode.acc_seg: 92.4789, loss: 0.1812 +2023-03-05 07:07:12,513 - mmseg - INFO - Iter [99100/160000] lr: 9.375e-06, eta: 4:03:53, time: 0.245, data_time: 0.056, memory: 52540, decode.loss_ce: 0.1779, decode.acc_seg: 92.6701, loss: 0.1779 +2023-03-05 07:07:22,500 - mmseg - INFO - Iter [99150/160000] lr: 9.375e-06, eta: 4:03:40, time: 0.200, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1858, decode.acc_seg: 92.3543, loss: 0.1858 +2023-03-05 07:07:32,374 - mmseg - INFO - Iter [99200/160000] lr: 9.375e-06, eta: 4:03:27, time: 0.198, data_time: 0.008, memory: 52540, decode.loss_ce: 0.1928, decode.acc_seg: 92.2326, loss: 0.1928 +2023-03-05 07:07:41,973 - mmseg - INFO - Iter [99250/160000] lr: 9.375e-06, eta: 4:03:13, time: 0.192, data_time: 0.008, memory: 52540, decode.loss_ce: 0.1779, decode.acc_seg: 92.6712, loss: 0.1779 +2023-03-05 07:07:51,726 - mmseg - INFO - Iter [99300/160000] lr: 9.375e-06, eta: 4:03:00, time: 0.195, data_time: 0.008, memory: 52540, decode.loss_ce: 0.1864, decode.acc_seg: 92.3297, loss: 0.1864 +2023-03-05 07:08:01,383 - mmseg - INFO - Iter [99350/160000] lr: 9.375e-06, eta: 4:02:47, time: 0.193, data_time: 0.008, memory: 52540, decode.loss_ce: 0.1862, decode.acc_seg: 92.3246, loss: 0.1862 +2023-03-05 07:08:11,037 - mmseg - INFO - Iter [99400/160000] lr: 9.375e-06, eta: 4:02:33, time: 0.193, data_time: 0.008, memory: 52540, decode.loss_ce: 0.1864, decode.acc_seg: 92.2829, loss: 0.1864 +2023-03-05 07:08:21,374 - mmseg - INFO - Iter [99450/160000] lr: 9.375e-06, eta: 4:02:20, time: 0.207, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1842, decode.acc_seg: 92.4501, loss: 0.1842 +2023-03-05 07:08:31,081 - mmseg - INFO - Iter [99500/160000] lr: 9.375e-06, eta: 4:02:07, time: 0.194, data_time: 0.008, memory: 52540, decode.loss_ce: 0.1814, decode.acc_seg: 92.4213, loss: 0.1814 +2023-03-05 07:08:40,918 - mmseg - INFO - Iter [99550/160000] lr: 9.375e-06, eta: 4:01:53, time: 0.197, data_time: 0.008, memory: 52540, decode.loss_ce: 0.1780, decode.acc_seg: 92.6700, loss: 0.1780 +2023-03-05 07:08:50,557 - mmseg - INFO - Iter [99600/160000] lr: 9.375e-06, eta: 4:01:40, time: 0.193, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1893, decode.acc_seg: 92.2246, loss: 0.1893 +2023-03-05 07:09:00,229 - mmseg - INFO - Iter [99650/160000] lr: 9.375e-06, eta: 4:01:27, time: 0.193, data_time: 0.008, memory: 52540, decode.loss_ce: 0.1784, decode.acc_seg: 92.6187, loss: 0.1784 +2023-03-05 07:09:12,273 - mmseg - INFO - Iter [99700/160000] lr: 9.375e-06, eta: 4:01:15, time: 0.241, data_time: 0.057, memory: 52540, decode.loss_ce: 0.1828, decode.acc_seg: 92.3255, loss: 0.1828 +2023-03-05 07:09:21,987 - mmseg - INFO - Iter [99750/160000] lr: 9.375e-06, eta: 4:01:01, time: 0.194, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1849, decode.acc_seg: 92.2394, loss: 0.1849 +2023-03-05 07:09:32,009 - mmseg - INFO - Iter [99800/160000] lr: 9.375e-06, eta: 4:00:48, time: 0.200, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1822, decode.acc_seg: 92.5719, loss: 0.1822 +2023-03-05 07:09:41,752 - mmseg - INFO - Iter [99850/160000] lr: 9.375e-06, eta: 4:00:35, time: 0.195, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1813, decode.acc_seg: 92.5238, loss: 0.1813 +2023-03-05 07:09:51,444 - mmseg - INFO - Iter [99900/160000] lr: 9.375e-06, eta: 4:00:21, time: 0.194, data_time: 0.008, memory: 52540, decode.loss_ce: 0.1858, decode.acc_seg: 92.3433, loss: 0.1858 +2023-03-05 07:10:01,015 - mmseg - INFO - Iter [99950/160000] lr: 9.375e-06, eta: 4:00:08, time: 0.191, data_time: 0.008, memory: 52540, decode.loss_ce: 0.1823, decode.acc_seg: 92.4330, loss: 0.1823 +2023-03-05 07:10:10,808 - mmseg - INFO - Exp name: ablation_segformer_mit_b2_segformer_head_unet_fc_small_multi_step_ade_pretrained_freeze_embed_160k_ade20k151_mask_finetune_maskreplace.py +2023-03-05 07:10:10,808 - mmseg - INFO - Iter [100000/160000] lr: 9.375e-06, eta: 3:59:54, time: 0.196, data_time: 0.008, memory: 52540, decode.loss_ce: 0.1787, decode.acc_seg: 92.7128, loss: 0.1787 +2023-03-05 07:10:20,525 - mmseg - INFO - Iter [100050/160000] lr: 4.687e-06, eta: 3:59:41, time: 0.195, data_time: 0.008, memory: 52540, decode.loss_ce: 0.1902, decode.acc_seg: 92.2090, loss: 0.1902 +2023-03-05 07:10:30,415 - mmseg - INFO - Iter [100100/160000] lr: 4.687e-06, eta: 3:59:28, time: 0.198, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1859, decode.acc_seg: 92.4741, loss: 0.1859 +2023-03-05 07:10:39,987 - mmseg - INFO - Iter [100150/160000] lr: 4.687e-06, eta: 3:59:14, time: 0.191, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1805, decode.acc_seg: 92.6004, loss: 0.1805 +2023-03-05 07:10:49,563 - mmseg - INFO - Iter [100200/160000] lr: 4.687e-06, eta: 3:59:01, time: 0.192, data_time: 0.008, memory: 52540, decode.loss_ce: 0.1863, decode.acc_seg: 92.4328, loss: 0.1863 +2023-03-05 07:10:59,143 - mmseg - INFO - Iter [100250/160000] lr: 4.687e-06, eta: 3:58:48, time: 0.192, data_time: 0.008, memory: 52540, decode.loss_ce: 0.1795, decode.acc_seg: 92.4488, loss: 0.1795 +2023-03-05 07:11:09,026 - mmseg - INFO - Iter [100300/160000] lr: 4.687e-06, eta: 3:58:34, time: 0.197, data_time: 0.008, memory: 52540, decode.loss_ce: 0.1904, decode.acc_seg: 92.2791, loss: 0.1904 +2023-03-05 07:11:21,379 - mmseg - INFO - Iter [100350/160000] lr: 4.687e-06, eta: 3:58:22, time: 0.247, data_time: 0.056, memory: 52540, decode.loss_ce: 0.1892, decode.acc_seg: 92.2843, loss: 0.1892 +2023-03-05 07:11:30,912 - mmseg - INFO - Iter [100400/160000] lr: 4.687e-06, eta: 3:58:09, time: 0.191, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1804, decode.acc_seg: 92.6379, loss: 0.1804 +2023-03-05 07:11:40,646 - mmseg - INFO - Iter [100450/160000] lr: 4.687e-06, eta: 3:57:56, time: 0.195, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1860, decode.acc_seg: 92.3375, loss: 0.1860 +2023-03-05 07:11:50,185 - mmseg - INFO - Iter [100500/160000] lr: 4.687e-06, eta: 3:57:42, time: 0.191, data_time: 0.008, memory: 52540, decode.loss_ce: 0.1906, decode.acc_seg: 92.1641, loss: 0.1906 +2023-03-05 07:11:59,990 - mmseg - INFO - Iter [100550/160000] lr: 4.687e-06, eta: 3:57:29, time: 0.196, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1861, decode.acc_seg: 92.3239, loss: 0.1861 +2023-03-05 07:12:09,572 - mmseg - INFO - Iter [100600/160000] lr: 4.687e-06, eta: 3:57:16, time: 0.192, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1863, decode.acc_seg: 92.2329, loss: 0.1863 +2023-03-05 07:12:19,463 - mmseg - INFO - Iter [100650/160000] lr: 4.687e-06, eta: 3:57:02, time: 0.198, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1844, decode.acc_seg: 92.4355, loss: 0.1844 +2023-03-05 07:12:29,370 - mmseg - INFO - Iter [100700/160000] lr: 4.687e-06, eta: 3:56:49, time: 0.198, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1806, decode.acc_seg: 92.5096, loss: 0.1806 +2023-03-05 07:12:38,883 - mmseg - INFO - Iter [100750/160000] lr: 4.687e-06, eta: 3:56:36, time: 0.190, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1905, decode.acc_seg: 92.2677, loss: 0.1905 +2023-03-05 07:12:48,570 - mmseg - INFO - Iter [100800/160000] lr: 4.687e-06, eta: 3:56:22, time: 0.194, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1865, decode.acc_seg: 92.5374, loss: 0.1865 +2023-03-05 07:12:58,173 - mmseg - INFO - Iter [100850/160000] lr: 4.687e-06, eta: 3:56:09, time: 0.192, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1815, decode.acc_seg: 92.5330, loss: 0.1815 +2023-03-05 07:13:08,000 - mmseg - INFO - Iter [100900/160000] lr: 4.687e-06, eta: 3:55:56, time: 0.197, data_time: 0.008, memory: 52540, decode.loss_ce: 0.1795, decode.acc_seg: 92.6194, loss: 0.1795 +2023-03-05 07:13:17,928 - mmseg - INFO - Iter [100950/160000] lr: 4.687e-06, eta: 3:55:43, time: 0.199, data_time: 0.008, memory: 52540, decode.loss_ce: 0.1810, decode.acc_seg: 92.5735, loss: 0.1810 +2023-03-05 07:13:30,145 - mmseg - INFO - Exp name: ablation_segformer_mit_b2_segformer_head_unet_fc_small_multi_step_ade_pretrained_freeze_embed_160k_ade20k151_mask_finetune_maskreplace.py +2023-03-05 07:13:30,145 - mmseg - INFO - Iter [101000/160000] lr: 4.687e-06, eta: 3:55:31, time: 0.244, data_time: 0.055, memory: 52540, decode.loss_ce: 0.1884, decode.acc_seg: 92.2824, loss: 0.1884 +2023-03-05 07:13:39,972 - mmseg - INFO - Iter [101050/160000] lr: 4.687e-06, eta: 3:55:18, time: 0.197, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1850, decode.acc_seg: 92.5292, loss: 0.1850 +2023-03-05 07:13:50,125 - mmseg - INFO - Iter [101100/160000] lr: 4.687e-06, eta: 3:55:05, time: 0.203, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1848, decode.acc_seg: 92.4849, loss: 0.1848 +2023-03-05 07:14:00,228 - mmseg - INFO - Iter [101150/160000] lr: 4.687e-06, eta: 3:54:51, time: 0.202, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1803, decode.acc_seg: 92.4955, loss: 0.1803 +2023-03-05 07:14:09,932 - mmseg - INFO - Iter [101200/160000] lr: 4.687e-06, eta: 3:54:38, time: 0.194, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1781, decode.acc_seg: 92.5937, loss: 0.1781 +2023-03-05 07:14:19,601 - mmseg - INFO - Iter [101250/160000] lr: 4.687e-06, eta: 3:54:25, time: 0.193, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1787, decode.acc_seg: 92.7020, loss: 0.1787 +2023-03-05 07:14:29,264 - mmseg - INFO - Iter [101300/160000] lr: 4.687e-06, eta: 3:54:12, time: 0.193, data_time: 0.008, memory: 52540, decode.loss_ce: 0.1880, decode.acc_seg: 92.3187, loss: 0.1880 +2023-03-05 07:14:39,451 - mmseg - INFO - Iter [101350/160000] lr: 4.687e-06, eta: 3:53:59, time: 0.204, data_time: 0.008, memory: 52540, decode.loss_ce: 0.1788, decode.acc_seg: 92.6874, loss: 0.1788 +2023-03-05 07:14:49,251 - mmseg - INFO - Iter [101400/160000] lr: 4.687e-06, eta: 3:53:45, time: 0.196, data_time: 0.008, memory: 52540, decode.loss_ce: 0.1859, decode.acc_seg: 92.2426, loss: 0.1859 +2023-03-05 07:14:58,844 - mmseg - INFO - Iter [101450/160000] lr: 4.687e-06, eta: 3:53:32, time: 0.192, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1770, decode.acc_seg: 92.7245, loss: 0.1770 +2023-03-05 07:15:08,482 - mmseg - INFO - Iter [101500/160000] lr: 4.687e-06, eta: 3:53:19, time: 0.193, data_time: 0.008, memory: 52540, decode.loss_ce: 0.1885, decode.acc_seg: 92.3005, loss: 0.1885 +2023-03-05 07:15:18,093 - mmseg - INFO - Iter [101550/160000] lr: 4.687e-06, eta: 3:53:05, time: 0.192, data_time: 0.008, memory: 52540, decode.loss_ce: 0.1908, decode.acc_seg: 92.2300, loss: 0.1908 +2023-03-05 07:15:30,186 - mmseg - INFO - Iter [101600/160000] lr: 4.687e-06, eta: 3:52:53, time: 0.242, data_time: 0.055, memory: 52540, decode.loss_ce: 0.1919, decode.acc_seg: 92.0951, loss: 0.1919 +2023-03-05 07:15:39,999 - mmseg - INFO - Iter [101650/160000] lr: 4.687e-06, eta: 3:52:40, time: 0.196, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1817, decode.acc_seg: 92.4899, loss: 0.1817 +2023-03-05 07:15:49,787 - mmseg - INFO - Iter [101700/160000] lr: 4.687e-06, eta: 3:52:27, time: 0.196, data_time: 0.008, memory: 52540, decode.loss_ce: 0.1837, decode.acc_seg: 92.3982, loss: 0.1837 +2023-03-05 07:15:59,475 - mmseg - INFO - Iter [101750/160000] lr: 4.687e-06, eta: 3:52:14, time: 0.194, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1817, decode.acc_seg: 92.4207, loss: 0.1817 +2023-03-05 07:16:09,192 - mmseg - INFO - Iter [101800/160000] lr: 4.687e-06, eta: 3:52:01, time: 0.194, data_time: 0.008, memory: 52540, decode.loss_ce: 0.1919, decode.acc_seg: 92.1791, loss: 0.1919 +2023-03-05 07:16:18,796 - mmseg - INFO - Iter [101850/160000] lr: 4.687e-06, eta: 3:51:47, time: 0.192, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1866, decode.acc_seg: 92.4401, loss: 0.1866 +2023-03-05 07:16:28,377 - mmseg - INFO - Iter [101900/160000] lr: 4.687e-06, eta: 3:51:34, time: 0.192, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1840, decode.acc_seg: 92.4538, loss: 0.1840 +2023-03-05 07:16:38,415 - mmseg - INFO - Iter [101950/160000] lr: 4.687e-06, eta: 3:51:21, time: 0.200, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1868, decode.acc_seg: 92.3503, loss: 0.1868 +2023-03-05 07:16:48,243 - mmseg - INFO - Exp name: ablation_segformer_mit_b2_segformer_head_unet_fc_small_multi_step_ade_pretrained_freeze_embed_160k_ade20k151_mask_finetune_maskreplace.py +2023-03-05 07:16:48,243 - mmseg - INFO - Iter [102000/160000] lr: 4.687e-06, eta: 3:51:08, time: 0.197, data_time: 0.008, memory: 52540, decode.loss_ce: 0.1809, decode.acc_seg: 92.5009, loss: 0.1809 +2023-03-05 07:16:58,042 - mmseg - INFO - Iter [102050/160000] lr: 4.687e-06, eta: 3:50:55, time: 0.196, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1859, decode.acc_seg: 92.3478, loss: 0.1859 +2023-03-05 07:17:07,859 - mmseg - INFO - Iter [102100/160000] lr: 4.687e-06, eta: 3:50:41, time: 0.196, data_time: 0.008, memory: 52540, decode.loss_ce: 0.1811, decode.acc_seg: 92.4465, loss: 0.1811 +2023-03-05 07:17:17,586 - mmseg - INFO - Iter [102150/160000] lr: 4.687e-06, eta: 3:50:28, time: 0.195, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1868, decode.acc_seg: 92.3738, loss: 0.1868 +2023-03-05 07:17:27,215 - mmseg - INFO - Iter [102200/160000] lr: 4.687e-06, eta: 3:50:15, time: 0.192, data_time: 0.008, memory: 52540, decode.loss_ce: 0.1825, decode.acc_seg: 92.4365, loss: 0.1825 +2023-03-05 07:17:39,376 - mmseg - INFO - Iter [102250/160000] lr: 4.687e-06, eta: 3:50:03, time: 0.243, data_time: 0.056, memory: 52540, decode.loss_ce: 0.1809, decode.acc_seg: 92.5235, loss: 0.1809 +2023-03-05 07:17:49,378 - mmseg - INFO - Iter [102300/160000] lr: 4.687e-06, eta: 3:49:50, time: 0.200, data_time: 0.008, memory: 52540, decode.loss_ce: 0.1856, decode.acc_seg: 92.2866, loss: 0.1856 +2023-03-05 07:17:59,131 - mmseg - INFO - Iter [102350/160000] lr: 4.687e-06, eta: 3:49:37, time: 0.195, data_time: 0.008, memory: 52540, decode.loss_ce: 0.1827, decode.acc_seg: 92.3916, loss: 0.1827 +2023-03-05 07:18:08,683 - mmseg - INFO - Iter [102400/160000] lr: 4.687e-06, eta: 3:49:24, time: 0.191, data_time: 0.008, memory: 52540, decode.loss_ce: 0.1876, decode.acc_seg: 92.2001, loss: 0.1876 +2023-03-05 07:18:18,347 - mmseg - INFO - Iter [102450/160000] lr: 4.687e-06, eta: 3:49:10, time: 0.193, data_time: 0.008, memory: 52540, decode.loss_ce: 0.1877, decode.acc_seg: 92.5443, loss: 0.1877 +2023-03-05 07:18:27,930 - mmseg - INFO - Iter [102500/160000] lr: 4.687e-06, eta: 3:48:57, time: 0.192, data_time: 0.008, memory: 52540, decode.loss_ce: 0.1849, decode.acc_seg: 92.4927, loss: 0.1849 +2023-03-05 07:18:37,574 - mmseg - INFO - Iter [102550/160000] lr: 4.687e-06, eta: 3:48:44, time: 0.193, data_time: 0.008, memory: 52540, decode.loss_ce: 0.1949, decode.acc_seg: 91.9760, loss: 0.1949 +2023-03-05 07:18:47,239 - mmseg - INFO - Iter [102600/160000] lr: 4.687e-06, eta: 3:48:31, time: 0.193, data_time: 0.008, memory: 52540, decode.loss_ce: 0.1864, decode.acc_seg: 92.3989, loss: 0.1864 +2023-03-05 07:18:56,901 - mmseg - INFO - Iter [102650/160000] lr: 4.687e-06, eta: 3:48:17, time: 0.193, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1822, decode.acc_seg: 92.4373, loss: 0.1822 +2023-03-05 07:19:06,577 - mmseg - INFO - Iter [102700/160000] lr: 4.687e-06, eta: 3:48:04, time: 0.194, data_time: 0.008, memory: 52540, decode.loss_ce: 0.1839, decode.acc_seg: 92.4001, loss: 0.1839 +2023-03-05 07:19:16,378 - mmseg - INFO - Iter [102750/160000] lr: 4.687e-06, eta: 3:47:51, time: 0.196, data_time: 0.008, memory: 52540, decode.loss_ce: 0.1848, decode.acc_seg: 92.3435, loss: 0.1848 +2023-03-05 07:19:26,050 - mmseg - INFO - Iter [102800/160000] lr: 4.687e-06, eta: 3:47:38, time: 0.193, data_time: 0.008, memory: 52540, decode.loss_ce: 0.1848, decode.acc_seg: 92.4691, loss: 0.1848 +2023-03-05 07:19:35,912 - mmseg - INFO - Iter [102850/160000] lr: 4.687e-06, eta: 3:47:25, time: 0.197, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1808, decode.acc_seg: 92.6046, loss: 0.1808 +2023-03-05 07:19:48,357 - mmseg - INFO - Iter [102900/160000] lr: 4.687e-06, eta: 3:47:13, time: 0.249, data_time: 0.055, memory: 52540, decode.loss_ce: 0.1810, decode.acc_seg: 92.4788, loss: 0.1810 +2023-03-05 07:19:57,947 - mmseg - INFO - Iter [102950/160000] lr: 4.687e-06, eta: 3:47:00, time: 0.192, data_time: 0.008, memory: 52540, decode.loss_ce: 0.1816, decode.acc_seg: 92.5540, loss: 0.1816 +2023-03-05 07:20:08,096 - mmseg - INFO - Exp name: ablation_segformer_mit_b2_segformer_head_unet_fc_small_multi_step_ade_pretrained_freeze_embed_160k_ade20k151_mask_finetune_maskreplace.py +2023-03-05 07:20:08,096 - mmseg - INFO - Iter [103000/160000] lr: 4.687e-06, eta: 3:46:47, time: 0.203, data_time: 0.008, memory: 52540, decode.loss_ce: 0.1778, decode.acc_seg: 92.6852, loss: 0.1778 +2023-03-05 07:20:17,725 - mmseg - INFO - Iter [103050/160000] lr: 4.687e-06, eta: 3:46:34, time: 0.193, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1873, decode.acc_seg: 92.3012, loss: 0.1873 +2023-03-05 07:20:27,397 - mmseg - INFO - Iter [103100/160000] lr: 4.687e-06, eta: 3:46:21, time: 0.193, data_time: 0.008, memory: 52540, decode.loss_ce: 0.1815, decode.acc_seg: 92.5138, loss: 0.1815 +2023-03-05 07:20:37,050 - mmseg - INFO - Iter [103150/160000] lr: 4.687e-06, eta: 3:46:07, time: 0.193, data_time: 0.008, memory: 52540, decode.loss_ce: 0.1769, decode.acc_seg: 92.7082, loss: 0.1769 +2023-03-05 07:20:46,610 - mmseg - INFO - Iter [103200/160000] lr: 4.687e-06, eta: 3:45:54, time: 0.191, data_time: 0.008, memory: 52540, decode.loss_ce: 0.1781, decode.acc_seg: 92.6000, loss: 0.1781 +2023-03-05 07:20:56,358 - mmseg - INFO - Iter [103250/160000] lr: 4.687e-06, eta: 3:45:41, time: 0.195, data_time: 0.008, memory: 52540, decode.loss_ce: 0.1866, decode.acc_seg: 92.4442, loss: 0.1866 +2023-03-05 07:21:06,461 - mmseg - INFO - Iter [103300/160000] lr: 4.687e-06, eta: 3:45:28, time: 0.202, data_time: 0.008, memory: 52540, decode.loss_ce: 0.1881, decode.acc_seg: 92.1551, loss: 0.1881 +2023-03-05 07:21:16,751 - mmseg - INFO - Iter [103350/160000] lr: 4.687e-06, eta: 3:45:15, time: 0.206, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1905, decode.acc_seg: 92.3371, loss: 0.1905 +2023-03-05 07:21:26,353 - mmseg - INFO - Iter [103400/160000] lr: 4.687e-06, eta: 3:45:02, time: 0.192, data_time: 0.008, memory: 52540, decode.loss_ce: 0.1813, decode.acc_seg: 92.4821, loss: 0.1813 +2023-03-05 07:21:35,877 - mmseg - INFO - Iter [103450/160000] lr: 4.687e-06, eta: 3:44:49, time: 0.190, data_time: 0.008, memory: 52540, decode.loss_ce: 0.1807, decode.acc_seg: 92.5002, loss: 0.1807 +2023-03-05 07:21:48,091 - mmseg - INFO - Iter [103500/160000] lr: 4.687e-06, eta: 3:44:37, time: 0.244, data_time: 0.057, memory: 52540, decode.loss_ce: 0.1896, decode.acc_seg: 92.3614, loss: 0.1896 +2023-03-05 07:21:57,683 - mmseg - INFO - Iter [103550/160000] lr: 4.687e-06, eta: 3:44:24, time: 0.192, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1868, decode.acc_seg: 92.2709, loss: 0.1868 +2023-03-05 07:22:07,306 - mmseg - INFO - Iter [103600/160000] lr: 4.687e-06, eta: 3:44:11, time: 0.192, data_time: 0.008, memory: 52540, decode.loss_ce: 0.1836, decode.acc_seg: 92.4884, loss: 0.1836 +2023-03-05 07:22:16,907 - mmseg - INFO - Iter [103650/160000] lr: 4.687e-06, eta: 3:43:57, time: 0.192, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1865, decode.acc_seg: 92.3588, loss: 0.1865 +2023-03-05 07:22:26,509 - mmseg - INFO - Iter [103700/160000] lr: 4.687e-06, eta: 3:43:44, time: 0.192, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1979, decode.acc_seg: 92.0999, loss: 0.1979 +2023-03-05 07:22:36,115 - mmseg - INFO - Iter [103750/160000] lr: 4.687e-06, eta: 3:43:31, time: 0.192, data_time: 0.008, memory: 52540, decode.loss_ce: 0.1894, decode.acc_seg: 92.4320, loss: 0.1894 +2023-03-05 07:22:46,184 - mmseg - INFO - Iter [103800/160000] lr: 4.687e-06, eta: 3:43:18, time: 0.201, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1770, decode.acc_seg: 92.5961, loss: 0.1770 +2023-03-05 07:22:55,774 - mmseg - INFO - Iter [103850/160000] lr: 4.687e-06, eta: 3:43:05, time: 0.192, data_time: 0.008, memory: 52540, decode.loss_ce: 0.1841, decode.acc_seg: 92.4801, loss: 0.1841 +2023-03-05 07:23:05,423 - mmseg - INFO - Iter [103900/160000] lr: 4.687e-06, eta: 3:42:52, time: 0.193, data_time: 0.008, memory: 52540, decode.loss_ce: 0.1839, decode.acc_seg: 92.5417, loss: 0.1839 +2023-03-05 07:23:15,077 - mmseg - INFO - Iter [103950/160000] lr: 4.687e-06, eta: 3:42:39, time: 0.193, data_time: 0.008, memory: 52540, decode.loss_ce: 0.1908, decode.acc_seg: 92.2593, loss: 0.1908 +2023-03-05 07:23:24,942 - mmseg - INFO - Exp name: ablation_segformer_mit_b2_segformer_head_unet_fc_small_multi_step_ade_pretrained_freeze_embed_160k_ade20k151_mask_finetune_maskreplace.py +2023-03-05 07:23:24,943 - mmseg - INFO - Iter [104000/160000] lr: 4.687e-06, eta: 3:42:26, time: 0.197, data_time: 0.008, memory: 52540, decode.loss_ce: 0.1785, decode.acc_seg: 92.6123, loss: 0.1785 +2023-03-05 07:23:34,591 - mmseg - INFO - Iter [104050/160000] lr: 4.687e-06, eta: 3:42:12, time: 0.193, data_time: 0.008, memory: 52540, decode.loss_ce: 0.1879, decode.acc_seg: 92.3361, loss: 0.1879 +2023-03-05 07:23:44,336 - mmseg - INFO - Iter [104100/160000] lr: 4.687e-06, eta: 3:41:59, time: 0.195, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1837, decode.acc_seg: 92.3762, loss: 0.1837 +2023-03-05 07:23:56,569 - mmseg - INFO - Iter [104150/160000] lr: 4.687e-06, eta: 3:41:48, time: 0.245, data_time: 0.058, memory: 52540, decode.loss_ce: 0.1834, decode.acc_seg: 92.3547, loss: 0.1834 +2023-03-05 07:24:06,290 - mmseg - INFO - Iter [104200/160000] lr: 4.687e-06, eta: 3:41:35, time: 0.194, data_time: 0.008, memory: 52540, decode.loss_ce: 0.1843, decode.acc_seg: 92.2811, loss: 0.1843 +2023-03-05 07:24:16,097 - mmseg - INFO - Iter [104250/160000] lr: 4.687e-06, eta: 3:41:22, time: 0.196, data_time: 0.008, memory: 52540, decode.loss_ce: 0.1820, decode.acc_seg: 92.4930, loss: 0.1820 +2023-03-05 07:24:25,714 - mmseg - INFO - Iter [104300/160000] lr: 4.687e-06, eta: 3:41:08, time: 0.192, data_time: 0.008, memory: 52540, decode.loss_ce: 0.1857, decode.acc_seg: 92.4526, loss: 0.1857 +2023-03-05 07:24:35,535 - mmseg - INFO - Iter [104350/160000] lr: 4.687e-06, eta: 3:40:55, time: 0.196, data_time: 0.008, memory: 52540, decode.loss_ce: 0.1829, decode.acc_seg: 92.5657, loss: 0.1829 +2023-03-05 07:24:45,158 - mmseg - INFO - Iter [104400/160000] lr: 4.687e-06, eta: 3:40:42, time: 0.192, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1836, decode.acc_seg: 92.5647, loss: 0.1836 +2023-03-05 07:24:54,723 - mmseg - INFO - Iter [104450/160000] lr: 4.687e-06, eta: 3:40:29, time: 0.191, data_time: 0.008, memory: 52540, decode.loss_ce: 0.1835, decode.acc_seg: 92.5670, loss: 0.1835 +2023-03-05 07:25:04,393 - mmseg - INFO - Iter [104500/160000] lr: 4.687e-06, eta: 3:40:16, time: 0.193, data_time: 0.008, memory: 52540, decode.loss_ce: 0.1836, decode.acc_seg: 92.4748, loss: 0.1836 +2023-03-05 07:25:14,301 - mmseg - INFO - Iter [104550/160000] lr: 4.687e-06, eta: 3:40:03, time: 0.198, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1873, decode.acc_seg: 92.2860, loss: 0.1873 +2023-03-05 07:25:23,906 - mmseg - INFO - Iter [104600/160000] lr: 4.687e-06, eta: 3:39:50, time: 0.192, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1825, decode.acc_seg: 92.5376, loss: 0.1825 +2023-03-05 07:25:33,703 - mmseg - INFO - Iter [104650/160000] lr: 4.687e-06, eta: 3:39:37, time: 0.196, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1864, decode.acc_seg: 92.3763, loss: 0.1864 +2023-03-05 07:25:43,499 - mmseg - INFO - Iter [104700/160000] lr: 4.687e-06, eta: 3:39:24, time: 0.196, data_time: 0.008, memory: 52540, decode.loss_ce: 0.1790, decode.acc_seg: 92.5907, loss: 0.1790 +2023-03-05 07:25:55,564 - mmseg - INFO - Iter [104750/160000] lr: 4.687e-06, eta: 3:39:12, time: 0.241, data_time: 0.056, memory: 52540, decode.loss_ce: 0.1810, decode.acc_seg: 92.6520, loss: 0.1810 +2023-03-05 07:26:05,368 - mmseg - INFO - Iter [104800/160000] lr: 4.687e-06, eta: 3:38:59, time: 0.196, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1865, decode.acc_seg: 92.3818, loss: 0.1865 +2023-03-05 07:26:14,974 - mmseg - INFO - Iter [104850/160000] lr: 4.687e-06, eta: 3:38:46, time: 0.192, data_time: 0.008, memory: 52540, decode.loss_ce: 0.1850, decode.acc_seg: 92.2718, loss: 0.1850 +2023-03-05 07:26:24,724 - mmseg - INFO - Iter [104900/160000] lr: 4.687e-06, eta: 3:38:33, time: 0.195, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1901, decode.acc_seg: 92.2245, loss: 0.1901 +2023-03-05 07:26:34,470 - mmseg - INFO - Iter [104950/160000] lr: 4.687e-06, eta: 3:38:20, time: 0.195, data_time: 0.008, memory: 52540, decode.loss_ce: 0.1877, decode.acc_seg: 92.1485, loss: 0.1877 +2023-03-05 07:26:44,058 - mmseg - INFO - Exp name: ablation_segformer_mit_b2_segformer_head_unet_fc_small_multi_step_ade_pretrained_freeze_embed_160k_ade20k151_mask_finetune_maskreplace.py +2023-03-05 07:26:44,058 - mmseg - INFO - Iter [105000/160000] lr: 4.687e-06, eta: 3:38:07, time: 0.192, data_time: 0.008, memory: 52540, decode.loss_ce: 0.1862, decode.acc_seg: 92.3658, loss: 0.1862 +2023-03-05 07:26:53,923 - mmseg - INFO - Iter [105050/160000] lr: 4.687e-06, eta: 3:37:54, time: 0.197, data_time: 0.008, memory: 52540, decode.loss_ce: 0.1859, decode.acc_seg: 92.3778, loss: 0.1859 +2023-03-05 07:27:03,469 - mmseg - INFO - Iter [105100/160000] lr: 4.687e-06, eta: 3:37:41, time: 0.191, data_time: 0.008, memory: 52540, decode.loss_ce: 0.1810, decode.acc_seg: 92.3865, loss: 0.1810 +2023-03-05 07:27:13,213 - mmseg - INFO - Iter [105150/160000] lr: 4.687e-06, eta: 3:37:28, time: 0.195, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1840, decode.acc_seg: 92.4103, loss: 0.1840 +2023-03-05 07:27:22,867 - mmseg - INFO - Iter [105200/160000] lr: 4.687e-06, eta: 3:37:15, time: 0.193, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1907, decode.acc_seg: 92.1097, loss: 0.1907 +2023-03-05 07:27:32,659 - mmseg - INFO - Iter [105250/160000] lr: 4.687e-06, eta: 3:37:02, time: 0.196, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1830, decode.acc_seg: 92.5705, loss: 0.1830 +2023-03-05 07:27:42,255 - mmseg - INFO - Iter [105300/160000] lr: 4.687e-06, eta: 3:36:49, time: 0.192, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1888, decode.acc_seg: 92.0632, loss: 0.1888 +2023-03-05 07:27:51,964 - mmseg - INFO - Iter [105350/160000] lr: 4.687e-06, eta: 3:36:35, time: 0.194, data_time: 0.008, memory: 52540, decode.loss_ce: 0.1887, decode.acc_seg: 92.3266, loss: 0.1887 +2023-03-05 07:28:03,918 - mmseg - INFO - Iter [105400/160000] lr: 4.687e-06, eta: 3:36:24, time: 0.239, data_time: 0.054, memory: 52540, decode.loss_ce: 0.1791, decode.acc_seg: 92.6286, loss: 0.1791 +2023-03-05 07:28:13,521 - mmseg - INFO - Iter [105450/160000] lr: 4.687e-06, eta: 3:36:11, time: 0.192, data_time: 0.008, memory: 52540, decode.loss_ce: 0.1749, decode.acc_seg: 92.7672, loss: 0.1749 +2023-03-05 07:28:23,037 - mmseg - INFO - Iter [105500/160000] lr: 4.687e-06, eta: 3:35:57, time: 0.190, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1881, decode.acc_seg: 92.3277, loss: 0.1881 +2023-03-05 07:28:33,005 - mmseg - INFO - Iter [105550/160000] lr: 4.687e-06, eta: 3:35:45, time: 0.199, data_time: 0.008, memory: 52540, decode.loss_ce: 0.1827, decode.acc_seg: 92.4943, loss: 0.1827 +2023-03-05 07:28:42,703 - mmseg - INFO - Iter [105600/160000] lr: 4.687e-06, eta: 3:35:32, time: 0.194, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1831, decode.acc_seg: 92.5457, loss: 0.1831 +2023-03-05 07:28:52,398 - mmseg - INFO - Iter [105650/160000] lr: 4.687e-06, eta: 3:35:19, time: 0.194, data_time: 0.008, memory: 52540, decode.loss_ce: 0.1910, decode.acc_seg: 92.0280, loss: 0.1910 +2023-03-05 07:29:02,197 - mmseg - INFO - Iter [105700/160000] lr: 4.687e-06, eta: 3:35:06, time: 0.196, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1931, decode.acc_seg: 91.9939, loss: 0.1931 +2023-03-05 07:29:11,769 - mmseg - INFO - Iter [105750/160000] lr: 4.687e-06, eta: 3:34:53, time: 0.191, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1850, decode.acc_seg: 92.4212, loss: 0.1850 +2023-03-05 07:29:21,880 - mmseg - INFO - Iter [105800/160000] lr: 4.687e-06, eta: 3:34:40, time: 0.202, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1812, decode.acc_seg: 92.5117, loss: 0.1812 +2023-03-05 07:29:31,548 - mmseg - INFO - Iter [105850/160000] lr: 4.687e-06, eta: 3:34:27, time: 0.193, data_time: 0.008, memory: 52540, decode.loss_ce: 0.1896, decode.acc_seg: 92.2280, loss: 0.1896 +2023-03-05 07:29:41,165 - mmseg - INFO - Iter [105900/160000] lr: 4.687e-06, eta: 3:34:14, time: 0.192, data_time: 0.008, memory: 52540, decode.loss_ce: 0.1779, decode.acc_seg: 92.5605, loss: 0.1779 +2023-03-05 07:29:50,866 - mmseg - INFO - Iter [105950/160000] lr: 4.687e-06, eta: 3:34:01, time: 0.194, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1853, decode.acc_seg: 92.3931, loss: 0.1853 +2023-03-05 07:30:00,521 - mmseg - INFO - Exp name: ablation_segformer_mit_b2_segformer_head_unet_fc_small_multi_step_ade_pretrained_freeze_embed_160k_ade20k151_mask_finetune_maskreplace.py +2023-03-05 07:30:00,522 - mmseg - INFO - Iter [106000/160000] lr: 4.687e-06, eta: 3:33:48, time: 0.193, data_time: 0.008, memory: 52540, decode.loss_ce: 0.1795, decode.acc_seg: 92.4908, loss: 0.1795 +2023-03-05 07:30:12,795 - mmseg - INFO - Iter [106050/160000] lr: 4.687e-06, eta: 3:33:36, time: 0.245, data_time: 0.058, memory: 52540, decode.loss_ce: 0.1849, decode.acc_seg: 92.5586, loss: 0.1849 +2023-03-05 07:30:22,463 - mmseg - INFO - Iter [106100/160000] lr: 4.687e-06, eta: 3:33:23, time: 0.193, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1751, decode.acc_seg: 92.8155, loss: 0.1751 +2023-03-05 07:30:32,143 - mmseg - INFO - Iter [106150/160000] lr: 4.687e-06, eta: 3:33:10, time: 0.193, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1866, decode.acc_seg: 92.3034, loss: 0.1866 +2023-03-05 07:30:41,843 - mmseg - INFO - Iter [106200/160000] lr: 4.687e-06, eta: 3:32:57, time: 0.194, data_time: 0.008, memory: 52540, decode.loss_ce: 0.1773, decode.acc_seg: 92.7012, loss: 0.1773 +2023-03-05 07:30:51,409 - mmseg - INFO - Iter [106250/160000] lr: 4.687e-06, eta: 3:32:44, time: 0.191, data_time: 0.008, memory: 52540, decode.loss_ce: 0.1790, decode.acc_seg: 92.5592, loss: 0.1790 +2023-03-05 07:31:01,192 - mmseg - INFO - Iter [106300/160000] lr: 4.687e-06, eta: 3:32:31, time: 0.196, data_time: 0.008, memory: 52540, decode.loss_ce: 0.1844, decode.acc_seg: 92.3780, loss: 0.1844 +2023-03-05 07:31:10,879 - mmseg - INFO - Iter [106350/160000] lr: 4.687e-06, eta: 3:32:18, time: 0.194, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1861, decode.acc_seg: 92.4881, loss: 0.1861 +2023-03-05 07:31:20,561 - mmseg - INFO - Iter [106400/160000] lr: 4.687e-06, eta: 3:32:05, time: 0.194, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1773, decode.acc_seg: 92.6008, loss: 0.1773 +2023-03-05 07:31:30,490 - mmseg - INFO - Iter [106450/160000] lr: 4.687e-06, eta: 3:31:52, time: 0.199, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1891, decode.acc_seg: 92.1766, loss: 0.1891 +2023-03-05 07:31:40,323 - mmseg - INFO - Iter [106500/160000] lr: 4.687e-06, eta: 3:31:39, time: 0.197, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1920, decode.acc_seg: 92.1925, loss: 0.1920 +2023-03-05 07:31:50,262 - mmseg - INFO - Iter [106550/160000] lr: 4.687e-06, eta: 3:31:27, time: 0.199, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1840, decode.acc_seg: 92.3851, loss: 0.1840 +2023-03-05 07:31:59,864 - mmseg - INFO - Iter [106600/160000] lr: 4.687e-06, eta: 3:31:14, time: 0.192, data_time: 0.008, memory: 52540, decode.loss_ce: 0.1879, decode.acc_seg: 92.2622, loss: 0.1879 +2023-03-05 07:32:12,348 - mmseg - INFO - Iter [106650/160000] lr: 4.687e-06, eta: 3:31:02, time: 0.249, data_time: 0.055, memory: 52540, decode.loss_ce: 0.1905, decode.acc_seg: 92.2424, loss: 0.1905 +2023-03-05 07:32:21,888 - mmseg - INFO - Iter [106700/160000] lr: 4.687e-06, eta: 3:30:49, time: 0.191, data_time: 0.008, memory: 52540, decode.loss_ce: 0.1814, decode.acc_seg: 92.5979, loss: 0.1814 +2023-03-05 07:32:31,485 - mmseg - INFO - Iter [106750/160000] lr: 4.687e-06, eta: 3:30:36, time: 0.192, data_time: 0.008, memory: 52540, decode.loss_ce: 0.1763, decode.acc_seg: 92.6953, loss: 0.1763 +2023-03-05 07:32:41,124 - mmseg - INFO - Iter [106800/160000] lr: 4.687e-06, eta: 3:30:23, time: 0.193, data_time: 0.008, memory: 52540, decode.loss_ce: 0.1807, decode.acc_seg: 92.5013, loss: 0.1807 +2023-03-05 07:32:50,867 - mmseg - INFO - Iter [106850/160000] lr: 4.687e-06, eta: 3:30:10, time: 0.195, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1738, decode.acc_seg: 92.7824, loss: 0.1738 +2023-03-05 07:33:00,596 - mmseg - INFO - Iter [106900/160000] lr: 4.687e-06, eta: 3:29:57, time: 0.195, data_time: 0.008, memory: 52540, decode.loss_ce: 0.1921, decode.acc_seg: 92.2403, loss: 0.1921 +2023-03-05 07:33:10,300 - mmseg - INFO - Iter [106950/160000] lr: 4.687e-06, eta: 3:29:44, time: 0.194, data_time: 0.008, memory: 52540, decode.loss_ce: 0.1822, decode.acc_seg: 92.4129, loss: 0.1822 +2023-03-05 07:33:20,042 - mmseg - INFO - Exp name: ablation_segformer_mit_b2_segformer_head_unet_fc_small_multi_step_ade_pretrained_freeze_embed_160k_ade20k151_mask_finetune_maskreplace.py +2023-03-05 07:33:20,042 - mmseg - INFO - Iter [107000/160000] lr: 4.687e-06, eta: 3:29:31, time: 0.195, data_time: 0.008, memory: 52540, decode.loss_ce: 0.1901, decode.acc_seg: 92.1023, loss: 0.1901 +2023-03-05 07:33:29,760 - mmseg - INFO - Iter [107050/160000] lr: 4.687e-06, eta: 3:29:18, time: 0.194, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1777, decode.acc_seg: 92.5772, loss: 0.1777 +2023-03-05 07:33:39,314 - mmseg - INFO - Iter [107100/160000] lr: 4.687e-06, eta: 3:29:05, time: 0.191, data_time: 0.008, memory: 52540, decode.loss_ce: 0.1908, decode.acc_seg: 92.2040, loss: 0.1908 +2023-03-05 07:33:49,044 - mmseg - INFO - Iter [107150/160000] lr: 4.687e-06, eta: 3:28:52, time: 0.195, data_time: 0.008, memory: 52540, decode.loss_ce: 0.1866, decode.acc_seg: 92.3735, loss: 0.1866 +2023-03-05 07:33:58,701 - mmseg - INFO - Iter [107200/160000] lr: 4.687e-06, eta: 3:28:39, time: 0.193, data_time: 0.008, memory: 52540, decode.loss_ce: 0.1835, decode.acc_seg: 92.5282, loss: 0.1835 +2023-03-05 07:34:08,536 - mmseg - INFO - Iter [107250/160000] lr: 4.687e-06, eta: 3:28:27, time: 0.197, data_time: 0.008, memory: 52540, decode.loss_ce: 0.1951, decode.acc_seg: 91.9690, loss: 0.1951 +2023-03-05 07:34:21,458 - mmseg - INFO - Iter [107300/160000] lr: 4.687e-06, eta: 3:28:15, time: 0.258, data_time: 0.055, memory: 52540, decode.loss_ce: 0.1860, decode.acc_seg: 92.3746, loss: 0.1860 +2023-03-05 07:34:31,207 - mmseg - INFO - Iter [107350/160000] lr: 4.687e-06, eta: 3:28:02, time: 0.195, data_time: 0.008, memory: 52540, decode.loss_ce: 0.1804, decode.acc_seg: 92.7068, loss: 0.1804 +2023-03-05 07:34:41,149 - mmseg - INFO - Iter [107400/160000] lr: 4.687e-06, eta: 3:27:50, time: 0.199, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1913, decode.acc_seg: 92.1911, loss: 0.1913 +2023-03-05 07:34:50,947 - mmseg - INFO - Iter [107450/160000] lr: 4.687e-06, eta: 3:27:37, time: 0.196, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1811, decode.acc_seg: 92.5288, loss: 0.1811 +2023-03-05 07:35:00,683 - mmseg - INFO - Iter [107500/160000] lr: 4.687e-06, eta: 3:27:24, time: 0.194, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1879, decode.acc_seg: 92.3000, loss: 0.1879 +2023-03-05 07:35:10,515 - mmseg - INFO - Iter [107550/160000] lr: 4.687e-06, eta: 3:27:11, time: 0.197, data_time: 0.008, memory: 52540, decode.loss_ce: 0.1879, decode.acc_seg: 92.3031, loss: 0.1879 +2023-03-05 07:35:20,177 - mmseg - INFO - Iter [107600/160000] lr: 4.687e-06, eta: 3:26:58, time: 0.193, data_time: 0.008, memory: 52540, decode.loss_ce: 0.1842, decode.acc_seg: 92.5178, loss: 0.1842 +2023-03-05 07:35:29,947 - mmseg - INFO - Iter [107650/160000] lr: 4.687e-06, eta: 3:26:45, time: 0.195, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1882, decode.acc_seg: 92.2115, loss: 0.1882 +2023-03-05 07:35:39,544 - mmseg - INFO - Iter [107700/160000] lr: 4.687e-06, eta: 3:26:32, time: 0.192, data_time: 0.008, memory: 52540, decode.loss_ce: 0.1934, decode.acc_seg: 92.0857, loss: 0.1934 +2023-03-05 07:35:49,163 - mmseg - INFO - Iter [107750/160000] lr: 4.687e-06, eta: 3:26:19, time: 0.192, data_time: 0.008, memory: 52540, decode.loss_ce: 0.1818, decode.acc_seg: 92.3648, loss: 0.1818 +2023-03-05 07:35:58,993 - mmseg - INFO - Iter [107800/160000] lr: 4.687e-06, eta: 3:26:07, time: 0.197, data_time: 0.008, memory: 52540, decode.loss_ce: 0.1833, decode.acc_seg: 92.4803, loss: 0.1833 +2023-03-05 07:36:08,597 - mmseg - INFO - Iter [107850/160000] lr: 4.687e-06, eta: 3:25:54, time: 0.192, data_time: 0.008, memory: 52540, decode.loss_ce: 0.1768, decode.acc_seg: 92.6492, loss: 0.1768 +2023-03-05 07:36:18,319 - mmseg - INFO - Iter [107900/160000] lr: 4.687e-06, eta: 3:25:41, time: 0.194, data_time: 0.008, memory: 52540, decode.loss_ce: 0.1865, decode.acc_seg: 92.3588, loss: 0.1865 +2023-03-05 07:36:30,531 - mmseg - INFO - Iter [107950/160000] lr: 4.687e-06, eta: 3:25:29, time: 0.244, data_time: 0.056, memory: 52540, decode.loss_ce: 0.1866, decode.acc_seg: 92.3431, loss: 0.1866 +2023-03-05 07:36:40,210 - mmseg - INFO - Exp name: ablation_segformer_mit_b2_segformer_head_unet_fc_small_multi_step_ade_pretrained_freeze_embed_160k_ade20k151_mask_finetune_maskreplace.py +2023-03-05 07:36:40,211 - mmseg - INFO - Iter [108000/160000] lr: 4.687e-06, eta: 3:25:16, time: 0.194, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1815, decode.acc_seg: 92.5940, loss: 0.1815 +2023-03-05 07:36:49,728 - mmseg - INFO - Iter [108050/160000] lr: 4.687e-06, eta: 3:25:03, time: 0.190, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1852, decode.acc_seg: 92.4631, loss: 0.1852 +2023-03-05 07:36:59,383 - mmseg - INFO - Iter [108100/160000] lr: 4.687e-06, eta: 3:24:50, time: 0.193, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1842, decode.acc_seg: 92.5403, loss: 0.1842 +2023-03-05 07:37:09,267 - mmseg - INFO - Iter [108150/160000] lr: 4.687e-06, eta: 3:24:38, time: 0.198, data_time: 0.008, memory: 52540, decode.loss_ce: 0.1813, decode.acc_seg: 92.6259, loss: 0.1813 +2023-03-05 07:37:19,023 - mmseg - INFO - Iter [108200/160000] lr: 4.687e-06, eta: 3:24:25, time: 0.195, data_time: 0.008, memory: 52540, decode.loss_ce: 0.1841, decode.acc_seg: 92.4356, loss: 0.1841 +2023-03-05 07:37:28,900 - mmseg - INFO - Iter [108250/160000] lr: 4.687e-06, eta: 3:24:12, time: 0.198, data_time: 0.008, memory: 52540, decode.loss_ce: 0.1848, decode.acc_seg: 92.4836, loss: 0.1848 +2023-03-05 07:37:38,543 - mmseg - INFO - Iter [108300/160000] lr: 4.687e-06, eta: 3:23:59, time: 0.193, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1895, decode.acc_seg: 92.3523, loss: 0.1895 +2023-03-05 07:37:48,310 - mmseg - INFO - Iter [108350/160000] lr: 4.687e-06, eta: 3:23:46, time: 0.195, data_time: 0.008, memory: 52540, decode.loss_ce: 0.1889, decode.acc_seg: 92.1820, loss: 0.1889 +2023-03-05 07:37:57,897 - mmseg - INFO - Iter [108400/160000] lr: 4.687e-06, eta: 3:23:33, time: 0.192, data_time: 0.008, memory: 52540, decode.loss_ce: 0.1927, decode.acc_seg: 92.2079, loss: 0.1927 +2023-03-05 07:38:07,686 - mmseg - INFO - Iter [108450/160000] lr: 4.687e-06, eta: 3:23:21, time: 0.196, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1847, decode.acc_seg: 92.4108, loss: 0.1847 +2023-03-05 07:38:17,555 - mmseg - INFO - Iter [108500/160000] lr: 4.687e-06, eta: 3:23:08, time: 0.198, data_time: 0.008, memory: 52540, decode.loss_ce: 0.1816, decode.acc_seg: 92.5041, loss: 0.1816 +2023-03-05 07:38:29,769 - mmseg - INFO - Iter [108550/160000] lr: 4.687e-06, eta: 3:22:56, time: 0.244, data_time: 0.054, memory: 52540, decode.loss_ce: 0.1760, decode.acc_seg: 92.6718, loss: 0.1760 +2023-03-05 07:38:39,301 - mmseg - INFO - Iter [108600/160000] lr: 4.687e-06, eta: 3:22:43, time: 0.191, data_time: 0.008, memory: 52540, decode.loss_ce: 0.1809, decode.acc_seg: 92.5141, loss: 0.1809 +2023-03-05 07:38:49,123 - mmseg - INFO - Iter [108650/160000] lr: 4.687e-06, eta: 3:22:30, time: 0.196, data_time: 0.008, memory: 52540, decode.loss_ce: 0.1905, decode.acc_seg: 92.2379, loss: 0.1905 +2023-03-05 07:38:58,931 - mmseg - INFO - Iter [108700/160000] lr: 4.687e-06, eta: 3:22:18, time: 0.196, data_time: 0.008, memory: 52540, decode.loss_ce: 0.1787, decode.acc_seg: 92.7000, loss: 0.1787 +2023-03-05 07:39:08,657 - mmseg - INFO - Iter [108750/160000] lr: 4.687e-06, eta: 3:22:05, time: 0.195, data_time: 0.008, memory: 52540, decode.loss_ce: 0.1877, decode.acc_seg: 92.2924, loss: 0.1877 +2023-03-05 07:39:18,558 - mmseg - INFO - Iter [108800/160000] lr: 4.687e-06, eta: 3:21:52, time: 0.198, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1793, decode.acc_seg: 92.6007, loss: 0.1793 +2023-03-05 07:39:28,135 - mmseg - INFO - Iter [108850/160000] lr: 4.687e-06, eta: 3:21:39, time: 0.192, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1832, decode.acc_seg: 92.5378, loss: 0.1832 +2023-03-05 07:39:37,824 - mmseg - INFO - Iter [108900/160000] lr: 4.687e-06, eta: 3:21:26, time: 0.194, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1874, decode.acc_seg: 92.3252, loss: 0.1874 +2023-03-05 07:39:47,679 - mmseg - INFO - Iter [108950/160000] lr: 4.687e-06, eta: 3:21:14, time: 0.197, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1920, decode.acc_seg: 92.1706, loss: 0.1920 +2023-03-05 07:39:57,324 - mmseg - INFO - Exp name: ablation_segformer_mit_b2_segformer_head_unet_fc_small_multi_step_ade_pretrained_freeze_embed_160k_ade20k151_mask_finetune_maskreplace.py +2023-03-05 07:39:57,324 - mmseg - INFO - Iter [109000/160000] lr: 4.687e-06, eta: 3:21:01, time: 0.193, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1867, decode.acc_seg: 92.2661, loss: 0.1867 +2023-03-05 07:40:06,868 - mmseg - INFO - Iter [109050/160000] lr: 4.687e-06, eta: 3:20:48, time: 0.191, data_time: 0.008, memory: 52540, decode.loss_ce: 0.1799, decode.acc_seg: 92.4120, loss: 0.1799 +2023-03-05 07:40:16,444 - mmseg - INFO - Iter [109100/160000] lr: 4.687e-06, eta: 3:20:35, time: 0.192, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1803, decode.acc_seg: 92.6214, loss: 0.1803 +2023-03-05 07:40:26,354 - mmseg - INFO - Iter [109150/160000] lr: 4.687e-06, eta: 3:20:22, time: 0.198, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1901, decode.acc_seg: 92.3439, loss: 0.1901 +2023-03-05 07:40:38,529 - mmseg - INFO - Iter [109200/160000] lr: 4.687e-06, eta: 3:20:11, time: 0.244, data_time: 0.055, memory: 52540, decode.loss_ce: 0.1852, decode.acc_seg: 92.4397, loss: 0.1852 +2023-03-05 07:40:48,147 - mmseg - INFO - Iter [109250/160000] lr: 4.687e-06, eta: 3:19:58, time: 0.192, data_time: 0.008, memory: 52540, decode.loss_ce: 0.1811, decode.acc_seg: 92.5991, loss: 0.1811 +2023-03-05 07:40:57,669 - mmseg - INFO - Iter [109300/160000] lr: 4.687e-06, eta: 3:19:45, time: 0.190, data_time: 0.008, memory: 52540, decode.loss_ce: 0.1884, decode.acc_seg: 92.3552, loss: 0.1884 +2023-03-05 07:41:07,507 - mmseg - INFO - Iter [109350/160000] lr: 4.687e-06, eta: 3:19:32, time: 0.196, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1842, decode.acc_seg: 92.4961, loss: 0.1842 +2023-03-05 07:41:17,396 - mmseg - INFO - Iter [109400/160000] lr: 4.687e-06, eta: 3:19:19, time: 0.198, data_time: 0.008, memory: 52540, decode.loss_ce: 0.1811, decode.acc_seg: 92.4444, loss: 0.1811 +2023-03-05 07:41:27,025 - mmseg - INFO - Iter [109450/160000] lr: 4.687e-06, eta: 3:19:07, time: 0.193, data_time: 0.008, memory: 52540, decode.loss_ce: 0.1822, decode.acc_seg: 92.4348, loss: 0.1822 +2023-03-05 07:41:36,772 - mmseg - INFO - Iter [109500/160000] lr: 4.687e-06, eta: 3:18:54, time: 0.195, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1794, decode.acc_seg: 92.5907, loss: 0.1794 +2023-03-05 07:41:46,339 - mmseg - INFO - Iter [109550/160000] lr: 4.687e-06, eta: 3:18:41, time: 0.191, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1921, decode.acc_seg: 91.9728, loss: 0.1921 +2023-03-05 07:41:56,217 - mmseg - INFO - Iter [109600/160000] lr: 4.687e-06, eta: 3:18:28, time: 0.197, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1829, decode.acc_seg: 92.5570, loss: 0.1829 +2023-03-05 07:42:05,835 - mmseg - INFO - Iter [109650/160000] lr: 4.687e-06, eta: 3:18:15, time: 0.193, data_time: 0.008, memory: 52540, decode.loss_ce: 0.1857, decode.acc_seg: 92.5295, loss: 0.1857 +2023-03-05 07:42:15,437 - mmseg - INFO - Iter [109700/160000] lr: 4.687e-06, eta: 3:18:03, time: 0.192, data_time: 0.008, memory: 52540, decode.loss_ce: 0.1844, decode.acc_seg: 92.4336, loss: 0.1844 +2023-03-05 07:42:25,071 - mmseg - INFO - Iter [109750/160000] lr: 4.687e-06, eta: 3:17:50, time: 0.193, data_time: 0.008, memory: 52540, decode.loss_ce: 0.1851, decode.acc_seg: 92.3917, loss: 0.1851 +2023-03-05 07:42:37,235 - mmseg - INFO - Iter [109800/160000] lr: 4.687e-06, eta: 3:17:38, time: 0.243, data_time: 0.054, memory: 52540, decode.loss_ce: 0.1949, decode.acc_seg: 92.1090, loss: 0.1949 +2023-03-05 07:42:47,183 - mmseg - INFO - Iter [109850/160000] lr: 4.687e-06, eta: 3:17:26, time: 0.199, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1885, decode.acc_seg: 92.3133, loss: 0.1885 +2023-03-05 07:42:56,736 - mmseg - INFO - Iter [109900/160000] lr: 4.687e-06, eta: 3:17:13, time: 0.191, data_time: 0.008, memory: 52540, decode.loss_ce: 0.1815, decode.acc_seg: 92.4732, loss: 0.1815 +2023-03-05 07:43:06,405 - mmseg - INFO - Iter [109950/160000] lr: 4.687e-06, eta: 3:17:00, time: 0.193, data_time: 0.008, memory: 52540, decode.loss_ce: 0.1916, decode.acc_seg: 92.3085, loss: 0.1916 +2023-03-05 07:43:15,940 - mmseg - INFO - Exp name: ablation_segformer_mit_b2_segformer_head_unet_fc_small_multi_step_ade_pretrained_freeze_embed_160k_ade20k151_mask_finetune_maskreplace.py +2023-03-05 07:43:15,940 - mmseg - INFO - Iter [110000/160000] lr: 4.687e-06, eta: 3:16:47, time: 0.191, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1829, decode.acc_seg: 92.4364, loss: 0.1829 +2023-03-05 07:43:25,450 - mmseg - INFO - Iter [110050/160000] lr: 4.687e-06, eta: 3:16:34, time: 0.190, data_time: 0.008, memory: 52540, decode.loss_ce: 0.1848, decode.acc_seg: 92.4373, loss: 0.1848 +2023-03-05 07:43:35,017 - mmseg - INFO - Iter [110100/160000] lr: 4.687e-06, eta: 3:16:21, time: 0.191, data_time: 0.008, memory: 52540, decode.loss_ce: 0.1774, decode.acc_seg: 92.4928, loss: 0.1774 +2023-03-05 07:43:44,710 - mmseg - INFO - Iter [110150/160000] lr: 4.687e-06, eta: 3:16:09, time: 0.194, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1902, decode.acc_seg: 92.3186, loss: 0.1902 +2023-03-05 07:43:54,425 - mmseg - INFO - Iter [110200/160000] lr: 4.687e-06, eta: 3:15:56, time: 0.194, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1840, decode.acc_seg: 92.5082, loss: 0.1840 +2023-03-05 07:44:04,411 - mmseg - INFO - Iter [110250/160000] lr: 4.687e-06, eta: 3:15:43, time: 0.200, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1781, decode.acc_seg: 92.6229, loss: 0.1781 +2023-03-05 07:44:14,093 - mmseg - INFO - Iter [110300/160000] lr: 4.687e-06, eta: 3:15:30, time: 0.194, data_time: 0.008, memory: 52540, decode.loss_ce: 0.1809, decode.acc_seg: 92.5319, loss: 0.1809 +2023-03-05 07:44:23,875 - mmseg - INFO - Iter [110350/160000] lr: 4.687e-06, eta: 3:15:18, time: 0.196, data_time: 0.008, memory: 52540, decode.loss_ce: 0.1833, decode.acc_seg: 92.4779, loss: 0.1833 +2023-03-05 07:44:33,467 - mmseg - INFO - Iter [110400/160000] lr: 4.687e-06, eta: 3:15:05, time: 0.192, data_time: 0.008, memory: 52540, decode.loss_ce: 0.1918, decode.acc_seg: 92.2523, loss: 0.1918 +2023-03-05 07:44:45,964 - mmseg - INFO - Iter [110450/160000] lr: 4.687e-06, eta: 3:14:53, time: 0.250, data_time: 0.056, memory: 52540, decode.loss_ce: 0.1840, decode.acc_seg: 92.4569, loss: 0.1840 +2023-03-05 07:44:55,792 - mmseg - INFO - Iter [110500/160000] lr: 4.687e-06, eta: 3:14:41, time: 0.197, data_time: 0.008, memory: 52540, decode.loss_ce: 0.1833, decode.acc_seg: 92.3304, loss: 0.1833 +2023-03-05 07:45:05,347 - mmseg - INFO - Iter [110550/160000] lr: 4.687e-06, eta: 3:14:28, time: 0.191, data_time: 0.008, memory: 52540, decode.loss_ce: 0.1802, decode.acc_seg: 92.5036, loss: 0.1802 +2023-03-05 07:45:14,931 - mmseg - INFO - Iter [110600/160000] lr: 4.687e-06, eta: 3:14:15, time: 0.192, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1831, decode.acc_seg: 92.4776, loss: 0.1831 +2023-03-05 07:45:24,563 - mmseg - INFO - Iter [110650/160000] lr: 4.687e-06, eta: 3:14:02, time: 0.193, data_time: 0.008, memory: 52540, decode.loss_ce: 0.1829, decode.acc_seg: 92.4779, loss: 0.1829 +2023-03-05 07:45:34,487 - mmseg - INFO - Iter [110700/160000] lr: 4.687e-06, eta: 3:13:50, time: 0.198, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1827, decode.acc_seg: 92.5129, loss: 0.1827 +2023-03-05 07:45:44,305 - mmseg - INFO - Iter [110750/160000] lr: 4.687e-06, eta: 3:13:37, time: 0.197, data_time: 0.008, memory: 52540, decode.loss_ce: 0.1899, decode.acc_seg: 92.2401, loss: 0.1899 +2023-03-05 07:45:54,197 - mmseg - INFO - Iter [110800/160000] lr: 4.687e-06, eta: 3:13:25, time: 0.198, data_time: 0.008, memory: 52540, decode.loss_ce: 0.1819, decode.acc_seg: 92.4337, loss: 0.1819 +2023-03-05 07:46:04,200 - mmseg - INFO - Iter [110850/160000] lr: 4.687e-06, eta: 3:13:12, time: 0.200, data_time: 0.008, memory: 52540, decode.loss_ce: 0.1901, decode.acc_seg: 92.2501, loss: 0.1901 +2023-03-05 07:46:13,820 - mmseg - INFO - Iter [110900/160000] lr: 4.687e-06, eta: 3:12:59, time: 0.192, data_time: 0.008, memory: 52540, decode.loss_ce: 0.1757, decode.acc_seg: 92.8749, loss: 0.1757 +2023-03-05 07:46:23,544 - mmseg - INFO - Iter [110950/160000] lr: 4.687e-06, eta: 3:12:46, time: 0.195, data_time: 0.008, memory: 52540, decode.loss_ce: 0.1865, decode.acc_seg: 92.3753, loss: 0.1865 +2023-03-05 07:46:33,380 - mmseg - INFO - Exp name: ablation_segformer_mit_b2_segformer_head_unet_fc_small_multi_step_ade_pretrained_freeze_embed_160k_ade20k151_mask_finetune_maskreplace.py +2023-03-05 07:46:33,380 - mmseg - INFO - Iter [111000/160000] lr: 4.687e-06, eta: 3:12:34, time: 0.197, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1887, decode.acc_seg: 92.1953, loss: 0.1887 +2023-03-05 07:46:42,957 - mmseg - INFO - Iter [111050/160000] lr: 4.687e-06, eta: 3:12:21, time: 0.192, data_time: 0.008, memory: 52540, decode.loss_ce: 0.1850, decode.acc_seg: 92.4568, loss: 0.1850 +2023-03-05 07:46:55,152 - mmseg - INFO - Iter [111100/160000] lr: 4.687e-06, eta: 3:12:09, time: 0.244, data_time: 0.054, memory: 52540, decode.loss_ce: 0.1873, decode.acc_seg: 92.3907, loss: 0.1873 +2023-03-05 07:47:05,133 - mmseg - INFO - Iter [111150/160000] lr: 4.687e-06, eta: 3:11:57, time: 0.199, data_time: 0.008, memory: 52540, decode.loss_ce: 0.1883, decode.acc_seg: 92.2529, loss: 0.1883 +2023-03-05 07:47:14,786 - mmseg - INFO - Iter [111200/160000] lr: 4.687e-06, eta: 3:11:44, time: 0.193, data_time: 0.008, memory: 52540, decode.loss_ce: 0.1801, decode.acc_seg: 92.5669, loss: 0.1801 +2023-03-05 07:47:24,387 - mmseg - INFO - Iter [111250/160000] lr: 4.687e-06, eta: 3:11:31, time: 0.192, data_time: 0.008, memory: 52540, decode.loss_ce: 0.1825, decode.acc_seg: 92.3390, loss: 0.1825 +2023-03-05 07:47:34,473 - mmseg - INFO - Iter [111300/160000] lr: 4.687e-06, eta: 3:11:19, time: 0.202, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1976, decode.acc_seg: 91.9622, loss: 0.1976 +2023-03-05 07:47:44,177 - mmseg - INFO - Iter [111350/160000] lr: 4.687e-06, eta: 3:11:06, time: 0.194, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1792, decode.acc_seg: 92.5822, loss: 0.1792 +2023-03-05 07:47:53,994 - mmseg - INFO - Iter [111400/160000] lr: 4.687e-06, eta: 3:10:54, time: 0.196, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1817, decode.acc_seg: 92.5013, loss: 0.1817 +2023-03-05 07:48:03,653 - mmseg - INFO - Iter [111450/160000] lr: 4.687e-06, eta: 3:10:41, time: 0.193, data_time: 0.008, memory: 52540, decode.loss_ce: 0.1834, decode.acc_seg: 92.3781, loss: 0.1834 +2023-03-05 07:48:13,181 - mmseg - INFO - Iter [111500/160000] lr: 4.687e-06, eta: 3:10:28, time: 0.191, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1820, decode.acc_seg: 92.5023, loss: 0.1820 +2023-03-05 07:48:23,059 - mmseg - INFO - Iter [111550/160000] lr: 4.687e-06, eta: 3:10:15, time: 0.198, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1867, decode.acc_seg: 92.3938, loss: 0.1867 +2023-03-05 07:48:32,893 - mmseg - INFO - Iter [111600/160000] lr: 4.687e-06, eta: 3:10:03, time: 0.196, data_time: 0.008, memory: 52540, decode.loss_ce: 0.1855, decode.acc_seg: 92.3545, loss: 0.1855 +2023-03-05 07:48:42,688 - mmseg - INFO - Iter [111650/160000] lr: 4.687e-06, eta: 3:09:50, time: 0.196, data_time: 0.008, memory: 52540, decode.loss_ce: 0.1809, decode.acc_seg: 92.5068, loss: 0.1809 +2023-03-05 07:48:54,767 - mmseg - INFO - Iter [111700/160000] lr: 4.687e-06, eta: 3:09:39, time: 0.242, data_time: 0.056, memory: 52540, decode.loss_ce: 0.1804, decode.acc_seg: 92.5478, loss: 0.1804 +2023-03-05 07:49:04,403 - mmseg - INFO - Iter [111750/160000] lr: 4.687e-06, eta: 3:09:26, time: 0.192, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1873, decode.acc_seg: 92.4279, loss: 0.1873 +2023-03-05 07:49:14,762 - mmseg - INFO - Iter [111800/160000] lr: 4.687e-06, eta: 3:09:13, time: 0.207, data_time: 0.008, memory: 52540, decode.loss_ce: 0.1854, decode.acc_seg: 92.4932, loss: 0.1854 +2023-03-05 07:49:24,349 - mmseg - INFO - Iter [111850/160000] lr: 4.687e-06, eta: 3:09:01, time: 0.192, data_time: 0.008, memory: 52540, decode.loss_ce: 0.1897, decode.acc_seg: 92.1848, loss: 0.1897 +2023-03-05 07:49:34,292 - mmseg - INFO - Iter [111900/160000] lr: 4.687e-06, eta: 3:08:48, time: 0.199, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1783, decode.acc_seg: 92.5657, loss: 0.1783 +2023-03-05 07:49:44,261 - mmseg - INFO - Iter [111950/160000] lr: 4.687e-06, eta: 3:08:36, time: 0.200, data_time: 0.008, memory: 52540, decode.loss_ce: 0.1729, decode.acc_seg: 92.8432, loss: 0.1729 +2023-03-05 07:49:54,028 - mmseg - INFO - Swap parameters (after train) after iter [112000] +2023-03-05 07:49:54,040 - mmseg - INFO - Saving checkpoint at 112000 iterations +2023-03-05 07:49:55,281 - mmseg - INFO - Exp name: ablation_segformer_mit_b2_segformer_head_unet_fc_small_multi_step_ade_pretrained_freeze_embed_160k_ade20k151_mask_finetune_maskreplace.py +2023-03-05 07:49:55,281 - mmseg - INFO - Iter [112000/160000] lr: 4.687e-06, eta: 3:08:23, time: 0.220, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1855, decode.acc_seg: 92.4440, loss: 0.1855 +2023-03-05 08:00:54,324 - mmseg - INFO - per class results: +2023-03-05 08:00:54,333 - mmseg - INFO - ++---------------------+-------------------------------------------------------------------+ +| Class | IoU 0,10,20,30,40,50,60,70,80,90,99 | ++---------------------+-------------------------------------------------------------------+ +| background | nan,nan,nan,nan,nan,nan,nan,nan,nan,nan,nan | +| wall | 77.39,77.41,77.44,77.47,77.5,77.52,77.54,77.57,77.58,77.58,77.6 | +| building | 81.68,81.68,81.69,81.69,81.7,81.7,81.7,81.68,81.68,81.68,81.69 | +| sky | 94.47,94.48,94.48,94.49,94.5,94.5,94.5,94.51,94.52,94.52,94.53 | +| floor | 81.59,81.61,81.63,81.64,81.65,81.67,81.68,81.7,81.71,81.72,81.73 | +| tree | 74.18,74.2,74.23,74.23,74.26,74.27,74.27,74.28,74.31,74.31,74.35 | +| ceiling | 84.9,84.93,84.98,85.02,85.07,85.13,85.13,85.16,85.17,85.19,85.18 | +| road | 82.11,82.11,82.1,82.09,82.05,82.09,82.11,82.11,82.1,82.15,82.24 | +| bed | 87.78,87.82,87.86,87.88,87.89,87.95,87.98,88.06,88.06,88.08,88.05 | +| windowpane | 60.3,60.33,60.41,60.44,60.53,60.53,60.55,60.61,60.61,60.6,60.56 | +| grass | 67.19,67.21,67.22,67.21,67.18,67.22,67.22,67.19,67.18,67.19,67.23 | +| cabinet | 60.69,60.8,60.85,60.96,61.05,61.19,61.28,61.38,61.42,61.47,61.64 | +| sidewalk | 64.57,64.59,64.57,64.56,64.45,64.52,64.51,64.49,64.5,64.56,64.68 | +| person | 79.66,79.7,79.73,79.77,79.78,79.81,79.83,79.82,79.85,79.86,79.88 | +| earth | 35.94,36.01,36.03,36.02,35.98,36.02,36.0,35.95,35.97,35.98,35.96 | +| door | 46.56,46.57,46.56,46.57,46.56,46.56,46.59,46.62,46.63,46.63,46.68 | +| table | 61.18,61.2,61.25,61.26,61.3,61.28,61.27,61.3,61.29,61.26,61.24 | +| mountain | 56.87,57.0,57.29,57.32,57.41,57.47,57.65,57.74,57.83,57.87,57.87 | +| plant | 49.51,49.47,49.42,49.41,49.34,49.4,49.39,49.39,49.43,49.45,49.39 | +| curtain | 74.02,74.09,74.16,74.15,74.27,74.26,74.3,74.43,74.42,74.41,74.47 | +| chair | 56.6,56.59,56.67,56.72,56.73,56.72,56.7,56.74,56.67,56.66,56.7 | +| car | 82.1,82.14,82.19,82.25,82.32,82.36,82.39,82.45,82.5,82.5,82.5 | +| water | 57.9,57.87,57.83,57.82,57.79,57.71,57.63,57.61,57.57,57.58,57.51 | +| painting | 70.14,70.09,70.07,70.06,70.14,70.05,69.94,69.98,69.89,69.86,69.8 | +| sofa | 64.63,64.74,64.79,64.78,64.68,64.69,64.68,64.75,64.78,64.76,64.72 | +| shelf | 43.76,43.79,43.85,43.92,43.93,43.96,44.08,44.15,44.19,44.24,44.21 | +| house | 43.08,43.17,43.35,43.36,43.37,43.35,43.35,43.28,43.18,43.21,43.42 | +| sea | 60.43,60.41,60.42,60.42,60.42,60.35,60.29,60.24,60.18,60.1,60.05 | +| mirror | 65.99,65.95,65.9,65.91,65.91,65.98,65.98,65.98,65.95,65.96,65.84 | +| rug | 64.85,64.95,64.9,64.91,64.96,65.07,64.95,64.99,65.02,65.07,65.07 | +| field | 30.06,30.08,30.07,30.08,30.09,30.1,30.12,30.15,30.18,30.19,30.24 | +| armchair | 37.85,37.94,37.98,38.09,38.03,38.02,38.09,38.13,38.17,38.17,38.06 | +| seat | 65.89,66.01,66.08,66.18,66.26,66.32,66.32,66.33,66.41,66.47,66.44 | +| fence | 41.04,41.03,41.01,41.01,41.05,41.03,41.19,41.22,41.28,41.27,41.32 | +| desk | 46.89,47.0,47.15,47.24,47.38,47.41,47.49,47.54,47.63,47.6,47.77 | +| rock | 36.98,36.99,37.02,37.06,37.12,37.13,37.17,37.2,37.28,37.27,37.28 | +| wardrobe | 57.09,57.05,57.1,57.15,57.06,57.02,56.98,56.9,56.97,56.98,57.12 | +| lamp | 62.23,62.29,62.34,62.36,62.35,62.36,62.36,62.33,62.31,62.35,62.32 | +| bathtub | 78.21,78.34,78.49,78.53,78.56,78.74,78.63,78.72,78.73,78.78,78.88 | +| railing | 33.31,33.3,33.27,33.15,33.09,33.05,33.04,33.11,33.06,33.06,32.88 | +| cushion | 57.15,57.27,57.43,57.55,57.56,57.59,57.63,57.67,57.71,57.64,57.69 | +| base | 21.04,21.13,21.31,21.42,21.57,21.54,21.57,21.5,21.47,21.49,21.62 | +| box | 23.75,23.91,24.04,24.14,24.29,24.34,24.47,24.46,24.57,24.58,24.58 | +| column | 46.1,46.19,46.21,46.33,46.6,46.77,46.92,47.21,47.22,47.21,47.39 | +| signboard | 37.79,37.83,37.81,37.81,37.8,37.78,37.75,37.73,37.68,37.63,37.66 | +| chest of drawers | 36.41,36.41,36.3,36.58,36.73,36.83,36.86,36.82,36.83,36.82,37.02 | +| counter | 31.59,31.65,31.74,31.69,31.75,31.79,31.84,31.8,31.83,31.82,31.84 | +| sand | 42.87,42.84,42.89,42.88,42.81,42.63,42.63,42.5,42.36,42.22,42.29 | +| sink | 68.43,68.38,68.32,68.37,68.28,68.19,68.24,68.18,68.08,68.05,67.93 | +| skyscraper | 51.09,50.67,50.25,49.98,49.64,49.39,49.35,49.25,49.11,49.05,48.7 | +| fireplace | 74.57,74.86,75.05,75.44,75.53,75.69,75.84,75.97,75.99,75.94,76.18 | +| refrigerator | 74.78,75.16,75.49,75.65,75.99,76.14,76.03,76.2,76.22,76.24,76.26 | +| grandstand | 52.68,52.71,52.76,52.94,52.81,52.99,53.13,53.16,53.2,53.26,53.24 | +| path | 22.26,22.37,22.48,22.47,22.5,22.59,22.62,22.67,22.78,22.91,22.86 | +| stairs | 32.66,32.61,32.46,32.34,32.21,32.19,32.09,32.07,32.02,31.91,31.9 | +| runway | 68.06,68.06,68.13,68.18,68.22,68.18,68.25,68.22,68.26,68.26,68.25 | +| case | 47.08,47.36,47.64,47.73,47.99,48.07,48.12,48.3,48.16,48.35,48.23 | +| pool table | 91.23,91.25,91.33,91.36,91.56,91.56,91.55,91.62,91.6,91.65,91.65 | +| pillow | 61.47,61.75,62.19,62.19,62.24,62.36,62.36,62.46,62.35,62.34,62.41 | +| screen door | 68.87,68.85,68.96,69.07,69.01,68.96,68.9,68.74,68.8,68.73,68.73 | +| stairway | 23.37,23.32,23.28,23.18,23.13,23.07,22.96,22.7,22.63,22.63,22.49 | +| river | 12.02,12.01,11.99,11.97,11.94,11.93,11.9,11.91,11.93,11.91,11.86 | +| bridge | 31.78,31.92,32.05,32.11,32.19,32.08,32.07,32.11,31.89,31.73,31.86 | +| bookcase | 47.47,47.53,47.44,47.54,47.61,47.82,47.7,47.67,47.73,47.77,47.69 | +| blind | 40.89,40.86,41.02,40.96,41.09,40.85,40.93,41.1,41.23,41.3,40.99 | +| coffee table | 52.38,52.29,52.18,52.15,52.13,52.19,52.15,52.14,52.09,52.05,51.93 | +| toilet | 83.55,83.49,83.48,83.51,83.44,83.5,83.49,83.57,83.47,83.49,83.52 | +| flower | 38.48,38.51,38.49,38.45,38.45,38.45,38.31,38.33,38.33,38.31,38.28 | +| book | 45.97,45.97,45.97,45.95,45.96,45.91,45.95,45.9,45.85,45.74,45.77 | +| hill | 16.06,16.12,16.17,16.17,16.23,16.35,16.26,16.3,16.29,16.26,16.17 | +| bench | 43.78,43.71,43.63,43.76,43.58,43.55,43.44,43.39,43.1,42.95,42.68 | +| countertop | 54.23,54.19,54.32,54.23,54.34,54.53,54.63,54.62,54.76,54.8,54.93 | +| stove | 71.46,71.41,71.31,71.11,71.15,70.84,70.68,70.62,70.53,70.4,70.32 | +| palm | 47.82,47.91,47.96,48.0,48.02,48.11,48.16,48.2,48.32,48.32,48.39 | +| kitchen island | 45.01,45.27,45.34,45.52,45.94,46.05,46.27,46.47,46.67,47.09,47.25 | +| computer | 60.06,60.07,60.0,60.06,60.01,60.03,59.98,60.03,59.99,60.02,60.04 | +| swivel chair | 43.84,43.88,44.01,44.18,44.2,44.12,44.31,44.3,44.44,44.36,44.68 | +| boat | 71.12,71.22,71.46,71.6,71.69,71.82,71.86,71.84,72.06,72.08,72.19 | +| bar | 23.93,24.01,24.07,24.11,24.2,24.19,24.23,24.29,24.24,24.27,24.34 | +| arcade machine | 69.42,69.69,70.22,70.66,70.76,70.66,70.49,70.7,71.19,71.0,70.94 | +| hovel | 30.4,30.18,30.15,29.92,29.76,29.52,29.21,28.98,28.82,28.59,28.1 | +| bus | 77.34,77.51,77.6,77.63,77.99,77.9,78.15,78.16,78.26,78.27,78.21 | +| towel | 64.19,64.26,64.39,64.48,64.6,64.48,64.65,64.63,64.76,64.8,64.54 | +| light | 55.67,55.82,55.96,56.0,56.17,56.27,56.28,56.43,56.42,56.44,56.45 | +| truck | 18.34,18.36,18.26,18.47,18.45,18.42,18.51,18.58,18.61,18.61,18.69 | +| tower | 6.43,6.39,6.37,6.33,6.32,6.53,6.49,6.56,6.77,6.83,6.77 | +| chandelier | 65.61,65.81,65.86,66.0,66.04,66.14,66.09,66.19,66.27,66.42,66.49 | +| awning | 22.84,23.0,23.09,23.02,23.16,23.28,23.38,23.48,23.7,23.6,23.77 | +| streetlight | 27.39,27.45,27.47,27.43,27.57,27.55,27.74,27.76,27.81,27.82,27.92 | +| booth | 43.82,44.13,44.76,45.1,45.06,45.68,45.8,46.12,46.25,46.27,46.53 | +| television receiver | 65.25,65.28,65.2,65.37,65.28,65.22,65.15,64.91,64.91,64.86,64.84 | +| airplane | 58.7,58.71,58.68,58.74,58.77,58.8,58.84,58.85,58.89,58.9,58.91 | +| dirt track | 20.21,20.29,20.36,20.32,20.33,20.3,20.34,20.18,20.18,20.2,20.19 | +| apparel | 34.87,35.05,35.28,35.49,35.58,35.77,35.73,35.82,36.05,36.37,36.48 | +| pole | 17.95,17.97,17.86,18.06,18.12,18.01,17.97,17.94,17.95,17.91,17.81 | +| land | 3.78,3.75,3.79,3.84,3.82,3.9,3.84,3.97,3.95,3.99,4.22 | +| bannister | 12.71,12.84,12.76,13.04,12.93,12.89,12.85,12.71,12.71,12.67,12.73 | +| escalator | 25.32,25.29,25.29,25.32,25.34,25.32,25.3,25.24,25.33,25.31,25.35 | +| ottoman | 44.14,44.29,44.37,44.34,44.5,44.75,45.3,45.3,45.08,45.11,44.96 | +| bottle | 36.61,36.57,36.66,36.55,36.59,36.61,36.6,36.61,36.64,36.59,36.62 | +| buffet | 38.2,39.0,39.35,39.95,40.77,40.87,41.14,41.58,41.49,41.72,41.57 | +| poster | 23.66,23.68,23.68,23.72,23.73,23.75,23.7,23.68,23.74,23.71,23.88 | +| stage | 14.62,14.61,14.63,14.64,14.66,14.7,14.68,14.71,14.69,14.76,14.66 | +| van | 38.64,38.62,38.66,38.58,38.61,38.8,38.72,38.76,38.75,38.8,38.84 | +| ship | 80.46,80.86,81.07,81.26,81.42,81.53,81.66,81.78,81.9,82.07,82.09 | +| fountain | 20.55,20.91,21.27,21.43,21.67,21.78,21.97,22.08,22.27,22.5,22.36 | +| conveyer belt | 85.73,85.68,85.62,85.59,85.73,85.59,85.72,85.64,85.57,85.64,85.74 | +| canopy | 24.11,24.42,24.44,24.62,24.69,24.71,24.78,24.86,24.74,24.79,24.78 | +| washer | 74.87,74.8,74.95,75.38,75.3,75.17,75.15,75.05,75.01,75.13,75.25 | +| plaything | 21.73,21.76,21.68,21.73,21.75,21.6,21.6,21.53,21.37,21.32,21.39 | +| swimming pool | 73.75,73.86,74.22,74.37,74.73,74.97,75.2,75.3,75.47,75.7,75.89 | +| stool | 44.52,44.55,44.52,44.48,44.39,44.35,44.42,44.29,44.28,44.35,44.27 | +| barrel | 54.68,55.77,56.2,57.64,58.21,58.11,58.52,60.57,60.85,60.77,60.39 | +| basket | 24.7,24.74,24.8,24.85,24.82,24.91,24.88,24.93,24.87,24.89,24.89 | +| waterfall | 49.43,49.28,49.1,49.11,49.11,48.97,48.98,49.0,49.09,49.12,49.0 | +| tent | 95.26,95.27,95.35,95.35,95.34,95.44,95.48,95.55,95.52,95.5,95.49 | +| bag | 14.8,14.9,14.98,14.95,15.02,15.05,15.2,15.39,15.39,15.51,15.5 | +| minibike | 64.13,64.05,64.24,64.13,64.12,64.1,64.05,64.07,64.13,63.85,63.9 | +| cradle | 84.83,84.95,84.96,85.02,85.12,85.12,85.15,85.35,85.38,85.44,85.45 | +| oven | 46.35,46.48,46.46,46.73,46.56,46.78,46.94,46.99,47.32,47.46,47.66 | +| ball | 41.87,42.05,42.3,42.68,42.89,43.1,43.24,43.43,43.72,44.26,44.6 | +| food | 52.81,52.74,52.8,52.56,52.57,52.46,52.44,52.4,52.32,52.21,52.25 | +| step | 4.83,4.75,4.9,4.86,4.78,4.84,4.7,4.82,4.68,4.69,4.63 | +| tank | 51.32,51.33,51.45,51.58,51.45,51.25,51.13,51.03,50.74,51.04,51.07 | +| trade name | 27.42,27.58,27.38,27.66,27.49,27.43,27.28,27.31,27.48,27.38,27.34 | +| microwave | 68.66,69.17,69.72,69.89,70.06,70.17,70.3,70.4,70.47,70.56,70.53 | +| pot | 30.46,30.57,30.54,30.65,30.74,30.86,30.84,30.97,30.9,31.04,31.14 | +| animal | 54.03,54.1,54.06,54.1,54.1,54.11,54.11,54.14,54.12,54.17,54.15 | +| bicycle | 53.71,53.94,54.16,54.37,54.39,54.47,54.68,54.77,54.9,54.86,54.83 | +| lake | 57.51,57.53,57.57,57.59,57.63,57.64,57.6,57.6,57.62,57.6,57.6 | +| dishwasher | 67.18,67.21,67.18,67.17,67.2,67.21,67.13,67.12,67.13,67.27,67.14 | +| screen | 69.79,69.67,69.75,69.73,70.05,69.48,69.44,69.2,68.5,68.12,68.05 | +| blanket | 19.66,19.84,19.91,20.0,20.12,20.17,20.22,20.39,20.38,20.46,20.46 | +| sculpture | 57.4,57.38,57.45,57.2,57.41,57.33,57.47,57.37,57.55,57.61,57.62 | +| hood | 61.27,61.3,61.41,61.4,61.49,61.55,61.5,61.44,61.63,61.41,61.38 | +| sconce | 42.39,42.46,42.44,42.65,42.79,42.97,42.91,43.2,43.21,43.3,43.3 | +| vase | 37.13,37.21,37.53,37.59,37.8,37.68,37.99,37.9,38.14,38.13,38.27 | +| traffic light | 32.16,32.38,32.32,32.18,32.64,32.5,32.6,32.51,32.54,32.4,32.3 | +| tray | 8.9,9.06,9.13,9.34,9.33,9.29,9.38,9.54,9.5,9.57,9.21 | +| ashcan | 40.91,41.07,40.97,41.05,41.08,41.24,41.14,41.06,41.06,40.99,40.92 | +| fan | 58.02,58.11,58.19,58.23,58.28,58.51,58.56,58.78,58.89,58.86,58.83 | +| pier | 48.49,48.8,49.26,49.38,49.47,49.61,49.87,49.98,49.91,50.21,50.02 | +| crt screen | 9.83,9.85,9.8,9.95,10.07,9.98,10.04,10.04,9.96,10.01,9.92 | +| plate | 53.33,53.35,53.33,53.3,53.4,53.34,53.37,53.33,53.27,53.3,53.25 | +| monitor | 30.52,30.42,30.09,30.05,29.67,29.47,29.21,29.04,28.91,28.67,27.88 | +| bulletin board | 36.81,36.7,37.0,37.05,36.95,36.76,36.84,36.69,36.75,36.98,36.89 | +| shower | 2.01,2.0,2.01,1.98,2.05,1.95,1.99,1.97,1.98,1.95,2.01 | +| radiator | 62.41,62.63,62.74,62.95,63.27,63.12,63.28,63.13,63.33,63.66,63.47 | +| glass | 13.98,13.98,13.96,13.9,13.88,13.87,13.87,13.86,13.85,13.78,13.76 | +| clock | 36.94,36.92,36.67,36.74,36.72,36.46,36.29,36.22,36.23,36.17,35.75 | +| flag | 36.25,36.2,36.0,36.09,36.03,36.04,35.91,35.92,35.98,35.9,35.95 | ++---------------------+-------------------------------------------------------------------+ +2023-03-05 08:00:54,333 - mmseg - INFO - Summary: +2023-03-05 08:00:54,333 - mmseg - INFO - ++------------------------------------------------------------------+ +| mIoU 0,10,20,30,40,50,60,70,80,90,99 | ++------------------------------------------------------------------+ +| 48.85,48.91,48.97,49.04,49.08,49.1,49.12,49.16,49.17,49.19,49.18 | ++------------------------------------------------------------------+ +2023-03-05 08:00:54,368 - mmseg - INFO - The previous best checkpoint /mnt/petrelfs/laizeqiang/mmseg-baseline/work_dirs2/ablation_segformer_mit_b2_segformer_head_unet_fc_small_multi_step_ade_pretrained_freeze_embed_160k_ade20k151_mask_finetune_maskreplace/best_mIoU_iter_80000.pth was removed +2023-03-05 08:00:55,313 - mmseg - INFO - Now best checkpoint is saved as best_mIoU_iter_112000.pth. +2023-03-05 08:00:55,313 - mmseg - INFO - Best mIoU is 0.4918 at 112000 iter. +2023-03-05 08:00:55,313 - mmseg - INFO - Exp name: ablation_segformer_mit_b2_segformer_head_unet_fc_small_multi_step_ade_pretrained_freeze_embed_160k_ade20k151_mask_finetune_maskreplace.py +2023-03-05 08:00:55,313 - mmseg - INFO - Iter(val) [250] mIoU: [0.4885, 0.4891, 0.4897, 0.4904, 0.4908, 0.491, 0.4912, 0.4916, 0.4917, 0.4919, 0.4918], copy_paste: 48.85,48.91,48.97,49.04,49.08,49.1,49.12,49.16,49.17,49.19,49.18 +2023-03-05 08:00:55,319 - mmseg - INFO - Swap parameters (before train) before iter [112001] +2023-03-05 08:01:05,222 - mmseg - INFO - Iter [112050/160000] lr: 4.687e-06, eta: 3:12:53, time: 13.399, data_time: 13.209, memory: 52540, decode.loss_ce: 0.1887, decode.acc_seg: 92.3668, loss: 0.1887 +2023-03-05 08:01:15,307 - mmseg - INFO - Iter [112100/160000] lr: 4.687e-06, eta: 3:12:40, time: 0.202, data_time: 0.008, memory: 52540, decode.loss_ce: 0.1813, decode.acc_seg: 92.5511, loss: 0.1813 +2023-03-05 08:01:25,040 - mmseg - INFO - Iter [112150/160000] lr: 4.687e-06, eta: 3:12:27, time: 0.195, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1889, decode.acc_seg: 92.2646, loss: 0.1889 +2023-03-05 08:01:34,861 - mmseg - INFO - Iter [112200/160000] lr: 4.687e-06, eta: 3:12:14, time: 0.196, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1781, decode.acc_seg: 92.6021, loss: 0.1781 +2023-03-05 08:01:44,586 - mmseg - INFO - Iter [112250/160000] lr: 4.687e-06, eta: 3:12:01, time: 0.194, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1866, decode.acc_seg: 92.4023, loss: 0.1866 +2023-03-05 08:01:54,268 - mmseg - INFO - Iter [112300/160000] lr: 4.687e-06, eta: 3:11:48, time: 0.194, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1813, decode.acc_seg: 92.4391, loss: 0.1813 +2023-03-05 08:02:06,358 - mmseg - INFO - Iter [112350/160000] lr: 4.687e-06, eta: 3:11:36, time: 0.242, data_time: 0.056, memory: 52540, decode.loss_ce: 0.1787, decode.acc_seg: 92.5097, loss: 0.1787 +2023-03-05 08:02:16,077 - mmseg - INFO - Iter [112400/160000] lr: 4.687e-06, eta: 3:11:23, time: 0.194, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1893, decode.acc_seg: 92.1711, loss: 0.1893 +2023-03-05 08:02:25,897 - mmseg - INFO - Iter [112450/160000] lr: 4.687e-06, eta: 3:11:10, time: 0.196, data_time: 0.008, memory: 52540, decode.loss_ce: 0.1824, decode.acc_seg: 92.4988, loss: 0.1824 +2023-03-05 08:02:35,579 - mmseg - INFO - Iter [112500/160000] lr: 4.687e-06, eta: 3:10:57, time: 0.194, data_time: 0.008, memory: 52540, decode.loss_ce: 0.1885, decode.acc_seg: 92.2010, loss: 0.1885 +2023-03-05 08:02:45,147 - mmseg - INFO - Iter [112550/160000] lr: 4.687e-06, eta: 3:10:44, time: 0.191, data_time: 0.008, memory: 52540, decode.loss_ce: 0.1885, decode.acc_seg: 92.2645, loss: 0.1885 +2023-03-05 08:02:54,909 - mmseg - INFO - Iter [112600/160000] lr: 4.687e-06, eta: 3:10:31, time: 0.195, data_time: 0.008, memory: 52540, decode.loss_ce: 0.1816, decode.acc_seg: 92.4685, loss: 0.1816 +2023-03-05 08:03:04,760 - mmseg - INFO - Iter [112650/160000] lr: 4.687e-06, eta: 3:10:18, time: 0.197, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1779, decode.acc_seg: 92.7253, loss: 0.1779 +2023-03-05 08:03:14,393 - mmseg - INFO - Iter [112700/160000] lr: 4.687e-06, eta: 3:10:05, time: 0.193, data_time: 0.008, memory: 52540, decode.loss_ce: 0.1856, decode.acc_seg: 92.3130, loss: 0.1856 +2023-03-05 08:03:24,119 - mmseg - INFO - Iter [112750/160000] lr: 4.687e-06, eta: 3:09:52, time: 0.195, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1793, decode.acc_seg: 92.6812, loss: 0.1793 +2023-03-05 08:03:33,698 - mmseg - INFO - Iter [112800/160000] lr: 4.687e-06, eta: 3:09:39, time: 0.192, data_time: 0.008, memory: 52540, decode.loss_ce: 0.1753, decode.acc_seg: 92.8033, loss: 0.1753 +2023-03-05 08:03:43,650 - mmseg - INFO - Iter [112850/160000] lr: 4.687e-06, eta: 3:09:26, time: 0.199, data_time: 0.008, memory: 52540, decode.loss_ce: 0.1783, decode.acc_seg: 92.6382, loss: 0.1783 +2023-03-05 08:03:53,531 - mmseg - INFO - Iter [112900/160000] lr: 4.687e-06, eta: 3:09:13, time: 0.198, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1868, decode.acc_seg: 92.3937, loss: 0.1868 +2023-03-05 08:04:05,900 - mmseg - INFO - Iter [112950/160000] lr: 4.687e-06, eta: 3:09:01, time: 0.247, data_time: 0.057, memory: 52540, decode.loss_ce: 0.1793, decode.acc_seg: 92.5242, loss: 0.1793 +2023-03-05 08:04:15,700 - mmseg - INFO - Exp name: ablation_segformer_mit_b2_segformer_head_unet_fc_small_multi_step_ade_pretrained_freeze_embed_160k_ade20k151_mask_finetune_maskreplace.py +2023-03-05 08:04:15,700 - mmseg - INFO - Iter [113000/160000] lr: 4.687e-06, eta: 3:08:48, time: 0.196, data_time: 0.008, memory: 52540, decode.loss_ce: 0.1853, decode.acc_seg: 92.3778, loss: 0.1853 +2023-03-05 08:04:25,281 - mmseg - INFO - Iter [113050/160000] lr: 4.687e-06, eta: 3:08:35, time: 0.192, data_time: 0.008, memory: 52540, decode.loss_ce: 0.1804, decode.acc_seg: 92.4405, loss: 0.1804 +2023-03-05 08:04:34,922 - mmseg - INFO - Iter [113100/160000] lr: 4.687e-06, eta: 3:08:22, time: 0.193, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1833, decode.acc_seg: 92.6187, loss: 0.1833 +2023-03-05 08:04:44,760 - mmseg - INFO - Iter [113150/160000] lr: 4.687e-06, eta: 3:08:09, time: 0.197, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1790, decode.acc_seg: 92.6554, loss: 0.1790 +2023-03-05 08:04:54,610 - mmseg - INFO - Iter [113200/160000] lr: 4.687e-06, eta: 3:07:56, time: 0.197, data_time: 0.008, memory: 52540, decode.loss_ce: 0.1839, decode.acc_seg: 92.4905, loss: 0.1839 +2023-03-05 08:05:04,197 - mmseg - INFO - Iter [113250/160000] lr: 4.687e-06, eta: 3:07:43, time: 0.192, data_time: 0.008, memory: 52540, decode.loss_ce: 0.1804, decode.acc_seg: 92.6768, loss: 0.1804 +2023-03-05 08:05:13,923 - mmseg - INFO - Iter [113300/160000] lr: 4.687e-06, eta: 3:07:30, time: 0.194, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1909, decode.acc_seg: 92.1681, loss: 0.1909 +2023-03-05 08:05:23,464 - mmseg - INFO - Iter [113350/160000] lr: 4.687e-06, eta: 3:07:17, time: 0.191, data_time: 0.008, memory: 52540, decode.loss_ce: 0.1825, decode.acc_seg: 92.3296, loss: 0.1825 +2023-03-05 08:05:33,288 - mmseg - INFO - Iter [113400/160000] lr: 4.687e-06, eta: 3:07:04, time: 0.196, data_time: 0.008, memory: 52540, decode.loss_ce: 0.1801, decode.acc_seg: 92.5677, loss: 0.1801 +2023-03-05 08:05:42,958 - mmseg - INFO - Iter [113450/160000] lr: 4.687e-06, eta: 3:06:51, time: 0.193, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1909, decode.acc_seg: 92.2213, loss: 0.1909 +2023-03-05 08:05:52,763 - mmseg - INFO - Iter [113500/160000] lr: 4.687e-06, eta: 3:06:38, time: 0.196, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1917, decode.acc_seg: 91.9970, loss: 0.1917 +2023-03-05 08:06:02,600 - mmseg - INFO - Iter [113550/160000] lr: 4.687e-06, eta: 3:06:25, time: 0.197, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1879, decode.acc_seg: 92.2051, loss: 0.1879 +2023-03-05 08:06:14,908 - mmseg - INFO - Iter [113600/160000] lr: 4.687e-06, eta: 3:06:13, time: 0.246, data_time: 0.056, memory: 52540, decode.loss_ce: 0.1899, decode.acc_seg: 92.3112, loss: 0.1899 +2023-03-05 08:06:24,877 - mmseg - INFO - Iter [113650/160000] lr: 4.687e-06, eta: 3:06:00, time: 0.199, data_time: 0.008, memory: 52540, decode.loss_ce: 0.1842, decode.acc_seg: 92.4020, loss: 0.1842 +2023-03-05 08:06:34,921 - mmseg - INFO - Iter [113700/160000] lr: 4.687e-06, eta: 3:05:47, time: 0.201, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1835, decode.acc_seg: 92.5091, loss: 0.1835 +2023-03-05 08:06:44,616 - mmseg - INFO - Iter [113750/160000] lr: 4.687e-06, eta: 3:05:34, time: 0.194, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1893, decode.acc_seg: 92.3711, loss: 0.1893 +2023-03-05 08:06:54,232 - mmseg - INFO - Iter [113800/160000] lr: 4.687e-06, eta: 3:05:21, time: 0.192, data_time: 0.008, memory: 52540, decode.loss_ce: 0.1805, decode.acc_seg: 92.6089, loss: 0.1805 +2023-03-05 08:07:03,960 - mmseg - INFO - Iter [113850/160000] lr: 4.687e-06, eta: 3:05:08, time: 0.195, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1884, decode.acc_seg: 92.2688, loss: 0.1884 +2023-03-05 08:07:13,580 - mmseg - INFO - Iter [113900/160000] lr: 4.687e-06, eta: 3:04:55, time: 0.192, data_time: 0.008, memory: 52540, decode.loss_ce: 0.1845, decode.acc_seg: 92.3911, loss: 0.1845 +2023-03-05 08:07:23,297 - mmseg - INFO - Iter [113950/160000] lr: 4.687e-06, eta: 3:04:42, time: 0.195, data_time: 0.008, memory: 52540, decode.loss_ce: 0.1879, decode.acc_seg: 92.3179, loss: 0.1879 +2023-03-05 08:07:32,872 - mmseg - INFO - Exp name: ablation_segformer_mit_b2_segformer_head_unet_fc_small_multi_step_ade_pretrained_freeze_embed_160k_ade20k151_mask_finetune_maskreplace.py +2023-03-05 08:07:32,872 - mmseg - INFO - Iter [114000/160000] lr: 4.687e-06, eta: 3:04:29, time: 0.192, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1828, decode.acc_seg: 92.4131, loss: 0.1828 +2023-03-05 08:07:42,475 - mmseg - INFO - Iter [114050/160000] lr: 4.687e-06, eta: 3:04:16, time: 0.192, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1791, decode.acc_seg: 92.7129, loss: 0.1791 +2023-03-05 08:07:52,743 - mmseg - INFO - Iter [114100/160000] lr: 4.687e-06, eta: 3:04:03, time: 0.205, data_time: 0.008, memory: 52540, decode.loss_ce: 0.1827, decode.acc_seg: 92.5765, loss: 0.1827 +2023-03-05 08:08:02,485 - mmseg - INFO - Iter [114150/160000] lr: 4.687e-06, eta: 3:03:50, time: 0.195, data_time: 0.008, memory: 52540, decode.loss_ce: 0.1763, decode.acc_seg: 92.6632, loss: 0.1763 +2023-03-05 08:08:12,350 - mmseg - INFO - Iter [114200/160000] lr: 4.687e-06, eta: 3:03:38, time: 0.197, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1830, decode.acc_seg: 92.4102, loss: 0.1830 +2023-03-05 08:08:24,585 - mmseg - INFO - Iter [114250/160000] lr: 4.687e-06, eta: 3:03:26, time: 0.245, data_time: 0.057, memory: 52540, decode.loss_ce: 0.1801, decode.acc_seg: 92.5157, loss: 0.1801 +2023-03-05 08:08:34,188 - mmseg - INFO - Iter [114300/160000] lr: 4.687e-06, eta: 3:03:13, time: 0.192, data_time: 0.008, memory: 52540, decode.loss_ce: 0.1819, decode.acc_seg: 92.6205, loss: 0.1819 +2023-03-05 08:08:44,005 - mmseg - INFO - Iter [114350/160000] lr: 4.687e-06, eta: 3:03:00, time: 0.196, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1893, decode.acc_seg: 92.1200, loss: 0.1893 +2023-03-05 08:08:53,656 - mmseg - INFO - Iter [114400/160000] lr: 4.687e-06, eta: 3:02:47, time: 0.193, data_time: 0.008, memory: 52540, decode.loss_ce: 0.1793, decode.acc_seg: 92.7858, loss: 0.1793 +2023-03-05 08:09:03,711 - mmseg - INFO - Iter [114450/160000] lr: 4.687e-06, eta: 3:02:34, time: 0.201, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1803, decode.acc_seg: 92.6105, loss: 0.1803 +2023-03-05 08:09:13,461 - mmseg - INFO - Iter [114500/160000] lr: 4.687e-06, eta: 3:02:21, time: 0.195, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1852, decode.acc_seg: 92.4169, loss: 0.1852 +2023-03-05 08:09:23,227 - mmseg - INFO - Iter [114550/160000] lr: 4.687e-06, eta: 3:02:08, time: 0.195, data_time: 0.008, memory: 52540, decode.loss_ce: 0.1849, decode.acc_seg: 92.5172, loss: 0.1849 +2023-03-05 08:09:32,767 - mmseg - INFO - Iter [114600/160000] lr: 4.687e-06, eta: 3:01:55, time: 0.191, data_time: 0.008, memory: 52540, decode.loss_ce: 0.1855, decode.acc_seg: 92.5330, loss: 0.1855 +2023-03-05 08:09:42,643 - mmseg - INFO - Iter [114650/160000] lr: 4.687e-06, eta: 3:01:42, time: 0.197, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1871, decode.acc_seg: 92.3663, loss: 0.1871 +2023-03-05 08:09:52,263 - mmseg - INFO - Iter [114700/160000] lr: 4.687e-06, eta: 3:01:29, time: 0.192, data_time: 0.008, memory: 52540, decode.loss_ce: 0.1876, decode.acc_seg: 92.1920, loss: 0.1876 +2023-03-05 08:10:02,214 - mmseg - INFO - Iter [114750/160000] lr: 4.687e-06, eta: 3:01:16, time: 0.199, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1847, decode.acc_seg: 92.4081, loss: 0.1847 +2023-03-05 08:10:11,757 - mmseg - INFO - Iter [114800/160000] lr: 4.687e-06, eta: 3:01:03, time: 0.191, data_time: 0.008, memory: 52540, decode.loss_ce: 0.1897, decode.acc_seg: 92.1934, loss: 0.1897 +2023-03-05 08:10:23,888 - mmseg - INFO - Iter [114850/160000] lr: 4.687e-06, eta: 3:00:51, time: 0.243, data_time: 0.056, memory: 52540, decode.loss_ce: 0.1931, decode.acc_seg: 92.2585, loss: 0.1931 +2023-03-05 08:10:33,593 - mmseg - INFO - Iter [114900/160000] lr: 4.687e-06, eta: 3:00:39, time: 0.194, data_time: 0.008, memory: 52540, decode.loss_ce: 0.1828, decode.acc_seg: 92.5888, loss: 0.1828 +2023-03-05 08:10:43,399 - mmseg - INFO - Iter [114950/160000] lr: 4.687e-06, eta: 3:00:26, time: 0.196, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1783, decode.acc_seg: 92.6415, loss: 0.1783 +2023-03-05 08:10:53,158 - mmseg - INFO - Exp name: ablation_segformer_mit_b2_segformer_head_unet_fc_small_multi_step_ade_pretrained_freeze_embed_160k_ade20k151_mask_finetune_maskreplace.py +2023-03-05 08:10:53,158 - mmseg - INFO - Iter [115000/160000] lr: 4.687e-06, eta: 3:00:13, time: 0.195, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1756, decode.acc_seg: 92.6922, loss: 0.1756 +2023-03-05 08:11:02,758 - mmseg - INFO - Iter [115050/160000] lr: 4.687e-06, eta: 3:00:00, time: 0.192, data_time: 0.008, memory: 52540, decode.loss_ce: 0.1914, decode.acc_seg: 92.2504, loss: 0.1914 +2023-03-05 08:11:12,416 - mmseg - INFO - Iter [115100/160000] lr: 4.687e-06, eta: 2:59:47, time: 0.193, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1884, decode.acc_seg: 92.3478, loss: 0.1884 +2023-03-05 08:11:22,206 - mmseg - INFO - Iter [115150/160000] lr: 4.687e-06, eta: 2:59:34, time: 0.196, data_time: 0.008, memory: 52540, decode.loss_ce: 0.1873, decode.acc_seg: 92.4551, loss: 0.1873 +2023-03-05 08:11:32,308 - mmseg - INFO - Iter [115200/160000] lr: 4.687e-06, eta: 2:59:21, time: 0.202, data_time: 0.008, memory: 52540, decode.loss_ce: 0.1863, decode.acc_seg: 92.3308, loss: 0.1863 +2023-03-05 08:11:42,320 - mmseg - INFO - Iter [115250/160000] lr: 4.687e-06, eta: 2:59:08, time: 0.200, data_time: 0.008, memory: 52540, decode.loss_ce: 0.1830, decode.acc_seg: 92.4713, loss: 0.1830 +2023-03-05 08:11:52,312 - mmseg - INFO - Iter [115300/160000] lr: 4.687e-06, eta: 2:58:56, time: 0.200, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1863, decode.acc_seg: 92.4120, loss: 0.1863 +2023-03-05 08:12:01,947 - mmseg - INFO - Iter [115350/160000] lr: 4.687e-06, eta: 2:58:43, time: 0.193, data_time: 0.008, memory: 52540, decode.loss_ce: 0.1896, decode.acc_seg: 92.2391, loss: 0.1896 +2023-03-05 08:12:11,616 - mmseg - INFO - Iter [115400/160000] lr: 4.687e-06, eta: 2:58:30, time: 0.193, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1837, decode.acc_seg: 92.4396, loss: 0.1837 +2023-03-05 08:12:21,681 - mmseg - INFO - Iter [115450/160000] lr: 4.687e-06, eta: 2:58:17, time: 0.202, data_time: 0.008, memory: 52540, decode.loss_ce: 0.1759, decode.acc_seg: 92.7282, loss: 0.1759 +2023-03-05 08:12:33,679 - mmseg - INFO - Iter [115500/160000] lr: 4.687e-06, eta: 2:58:05, time: 0.240, data_time: 0.054, memory: 52540, decode.loss_ce: 0.1956, decode.acc_seg: 91.9732, loss: 0.1956 +2023-03-05 08:12:43,219 - mmseg - INFO - Iter [115550/160000] lr: 4.687e-06, eta: 2:57:52, time: 0.191, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1786, decode.acc_seg: 92.5691, loss: 0.1786 +2023-03-05 08:12:52,810 - mmseg - INFO - Iter [115600/160000] lr: 4.687e-06, eta: 2:57:39, time: 0.192, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1888, decode.acc_seg: 92.1630, loss: 0.1888 +2023-03-05 08:13:02,514 - mmseg - INFO - Iter [115650/160000] lr: 4.687e-06, eta: 2:57:26, time: 0.194, data_time: 0.008, memory: 52540, decode.loss_ce: 0.1837, decode.acc_seg: 92.5177, loss: 0.1837 +2023-03-05 08:13:12,047 - mmseg - INFO - Iter [115700/160000] lr: 4.687e-06, eta: 2:57:13, time: 0.191, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1810, decode.acc_seg: 92.5548, loss: 0.1810 +2023-03-05 08:13:21,915 - mmseg - INFO - Iter [115750/160000] lr: 4.687e-06, eta: 2:57:00, time: 0.197, data_time: 0.008, memory: 52540, decode.loss_ce: 0.1817, decode.acc_seg: 92.3845, loss: 0.1817 +2023-03-05 08:13:31,697 - mmseg - INFO - Iter [115800/160000] lr: 4.687e-06, eta: 2:56:48, time: 0.196, data_time: 0.008, memory: 52540, decode.loss_ce: 0.1888, decode.acc_seg: 92.2332, loss: 0.1888 +2023-03-05 08:13:41,393 - mmseg - INFO - Iter [115850/160000] lr: 4.687e-06, eta: 2:56:35, time: 0.194, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1834, decode.acc_seg: 92.3892, loss: 0.1834 +2023-03-05 08:13:51,128 - mmseg - INFO - Iter [115900/160000] lr: 4.687e-06, eta: 2:56:22, time: 0.195, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1807, decode.acc_seg: 92.5576, loss: 0.1807 +2023-03-05 08:14:00,920 - mmseg - INFO - Iter [115950/160000] lr: 4.687e-06, eta: 2:56:09, time: 0.196, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1889, decode.acc_seg: 92.2979, loss: 0.1889 +2023-03-05 08:14:10,505 - mmseg - INFO - Exp name: ablation_segformer_mit_b2_segformer_head_unet_fc_small_multi_step_ade_pretrained_freeze_embed_160k_ade20k151_mask_finetune_maskreplace.py +2023-03-05 08:14:10,505 - mmseg - INFO - Iter [116000/160000] lr: 4.687e-06, eta: 2:55:56, time: 0.192, data_time: 0.008, memory: 52540, decode.loss_ce: 0.1866, decode.acc_seg: 92.3428, loss: 0.1866 +2023-03-05 08:14:20,264 - mmseg - INFO - Iter [116050/160000] lr: 4.687e-06, eta: 2:55:43, time: 0.195, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1841, decode.acc_seg: 92.3820, loss: 0.1841 +2023-03-05 08:14:29,854 - mmseg - INFO - Iter [116100/160000] lr: 4.687e-06, eta: 2:55:30, time: 0.192, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1785, decode.acc_seg: 92.6657, loss: 0.1785 +2023-03-05 08:14:42,154 - mmseg - INFO - Iter [116150/160000] lr: 4.687e-06, eta: 2:55:19, time: 0.246, data_time: 0.052, memory: 52540, decode.loss_ce: 0.1892, decode.acc_seg: 92.2449, loss: 0.1892 +2023-03-05 08:14:52,238 - mmseg - INFO - Iter [116200/160000] lr: 4.687e-06, eta: 2:55:06, time: 0.201, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1927, decode.acc_seg: 92.0693, loss: 0.1927 +2023-03-05 08:15:02,126 - mmseg - INFO - Iter [116250/160000] lr: 4.687e-06, eta: 2:54:53, time: 0.198, data_time: 0.008, memory: 52540, decode.loss_ce: 0.1872, decode.acc_seg: 92.3460, loss: 0.1872 +2023-03-05 08:15:11,961 - mmseg - INFO - Iter [116300/160000] lr: 4.687e-06, eta: 2:54:40, time: 0.197, data_time: 0.008, memory: 52540, decode.loss_ce: 0.1887, decode.acc_seg: 92.3301, loss: 0.1887 +2023-03-05 08:15:21,515 - mmseg - INFO - Iter [116350/160000] lr: 4.687e-06, eta: 2:54:27, time: 0.191, data_time: 0.008, memory: 52540, decode.loss_ce: 0.1885, decode.acc_seg: 92.2687, loss: 0.1885 +2023-03-05 08:15:31,205 - mmseg - INFO - Iter [116400/160000] lr: 4.687e-06, eta: 2:54:14, time: 0.194, data_time: 0.008, memory: 52540, decode.loss_ce: 0.1818, decode.acc_seg: 92.5133, loss: 0.1818 +2023-03-05 08:15:40,847 - mmseg - INFO - Iter [116450/160000] lr: 4.687e-06, eta: 2:54:02, time: 0.193, data_time: 0.008, memory: 52540, decode.loss_ce: 0.1834, decode.acc_seg: 92.4661, loss: 0.1834 +2023-03-05 08:15:50,485 - mmseg - INFO - Iter [116500/160000] lr: 4.687e-06, eta: 2:53:49, time: 0.193, data_time: 0.008, memory: 52540, decode.loss_ce: 0.1869, decode.acc_seg: 92.3070, loss: 0.1869 +2023-03-05 08:16:00,642 - mmseg - INFO - Iter [116550/160000] lr: 4.687e-06, eta: 2:53:36, time: 0.203, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1799, decode.acc_seg: 92.5275, loss: 0.1799 +2023-03-05 08:16:10,652 - mmseg - INFO - Iter [116600/160000] lr: 4.687e-06, eta: 2:53:23, time: 0.200, data_time: 0.008, memory: 52540, decode.loss_ce: 0.1827, decode.acc_seg: 92.5425, loss: 0.1827 +2023-03-05 08:16:20,548 - mmseg - INFO - Iter [116650/160000] lr: 4.687e-06, eta: 2:53:11, time: 0.198, data_time: 0.008, memory: 52540, decode.loss_ce: 0.1834, decode.acc_seg: 92.4653, loss: 0.1834 +2023-03-05 08:16:30,454 - mmseg - INFO - Iter [116700/160000] lr: 4.687e-06, eta: 2:52:58, time: 0.198, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1922, decode.acc_seg: 92.1678, loss: 0.1922 +2023-03-05 08:16:42,664 - mmseg - INFO - Iter [116750/160000] lr: 4.687e-06, eta: 2:52:46, time: 0.244, data_time: 0.055, memory: 52540, decode.loss_ce: 0.1908, decode.acc_seg: 92.2098, loss: 0.1908 +2023-03-05 08:16:52,315 - mmseg - INFO - Iter [116800/160000] lr: 4.687e-06, eta: 2:52:33, time: 0.193, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1799, decode.acc_seg: 92.6023, loss: 0.1799 +2023-03-05 08:17:02,044 - mmseg - INFO - Iter [116850/160000] lr: 4.687e-06, eta: 2:52:20, time: 0.194, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1816, decode.acc_seg: 92.4957, loss: 0.1816 +2023-03-05 08:17:11,657 - mmseg - INFO - Iter [116900/160000] lr: 4.687e-06, eta: 2:52:07, time: 0.193, data_time: 0.008, memory: 52540, decode.loss_ce: 0.1804, decode.acc_seg: 92.4028, loss: 0.1804 +2023-03-05 08:17:21,334 - mmseg - INFO - Iter [116950/160000] lr: 4.687e-06, eta: 2:51:55, time: 0.194, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1916, decode.acc_seg: 92.0897, loss: 0.1916 +2023-03-05 08:17:31,012 - mmseg - INFO - Exp name: ablation_segformer_mit_b2_segformer_head_unet_fc_small_multi_step_ade_pretrained_freeze_embed_160k_ade20k151_mask_finetune_maskreplace.py +2023-03-05 08:17:31,012 - mmseg - INFO - Iter [117000/160000] lr: 4.687e-06, eta: 2:51:42, time: 0.193, data_time: 0.008, memory: 52540, decode.loss_ce: 0.1791, decode.acc_seg: 92.5612, loss: 0.1791 +2023-03-05 08:17:40,581 - mmseg - INFO - Iter [117050/160000] lr: 4.687e-06, eta: 2:51:29, time: 0.192, data_time: 0.008, memory: 52540, decode.loss_ce: 0.1798, decode.acc_seg: 92.6070, loss: 0.1798 +2023-03-05 08:17:50,184 - mmseg - INFO - Iter [117100/160000] lr: 4.687e-06, eta: 2:51:16, time: 0.192, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1805, decode.acc_seg: 92.6565, loss: 0.1805 +2023-03-05 08:17:59,944 - mmseg - INFO - Iter [117150/160000] lr: 4.687e-06, eta: 2:51:03, time: 0.195, data_time: 0.008, memory: 52540, decode.loss_ce: 0.1974, decode.acc_seg: 92.0141, loss: 0.1974 +2023-03-05 08:18:09,804 - mmseg - INFO - Iter [117200/160000] lr: 4.687e-06, eta: 2:50:50, time: 0.197, data_time: 0.008, memory: 52540, decode.loss_ce: 0.1886, decode.acc_seg: 92.4017, loss: 0.1886 +2023-03-05 08:18:19,674 - mmseg - INFO - Iter [117250/160000] lr: 4.687e-06, eta: 2:50:38, time: 0.197, data_time: 0.008, memory: 52540, decode.loss_ce: 0.1930, decode.acc_seg: 92.0550, loss: 0.1930 +2023-03-05 08:18:29,413 - mmseg - INFO - Iter [117300/160000] lr: 4.687e-06, eta: 2:50:25, time: 0.195, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1808, decode.acc_seg: 92.4987, loss: 0.1808 +2023-03-05 08:18:39,075 - mmseg - INFO - Iter [117350/160000] lr: 4.687e-06, eta: 2:50:12, time: 0.193, data_time: 0.008, memory: 52540, decode.loss_ce: 0.1821, decode.acc_seg: 92.4040, loss: 0.1821 +2023-03-05 08:18:51,466 - mmseg - INFO - Iter [117400/160000] lr: 4.687e-06, eta: 2:50:00, time: 0.248, data_time: 0.057, memory: 52540, decode.loss_ce: 0.1904, decode.acc_seg: 92.2593, loss: 0.1904 +2023-03-05 08:19:01,282 - mmseg - INFO - Iter [117450/160000] lr: 4.687e-06, eta: 2:49:48, time: 0.196, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1851, decode.acc_seg: 92.4626, loss: 0.1851 +2023-03-05 08:19:10,808 - mmseg - INFO - Iter [117500/160000] lr: 4.687e-06, eta: 2:49:35, time: 0.191, data_time: 0.008, memory: 52540, decode.loss_ce: 0.1789, decode.acc_seg: 92.6952, loss: 0.1789 +2023-03-05 08:19:20,360 - mmseg - INFO - Iter [117550/160000] lr: 4.687e-06, eta: 2:49:22, time: 0.191, data_time: 0.008, memory: 52540, decode.loss_ce: 0.1866, decode.acc_seg: 92.3670, loss: 0.1866 +2023-03-05 08:19:30,320 - mmseg - INFO - Iter [117600/160000] lr: 4.687e-06, eta: 2:49:09, time: 0.199, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1782, decode.acc_seg: 92.6428, loss: 0.1782 +2023-03-05 08:19:39,944 - mmseg - INFO - Iter [117650/160000] lr: 4.687e-06, eta: 2:48:56, time: 0.193, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1818, decode.acc_seg: 92.5243, loss: 0.1818 +2023-03-05 08:19:49,768 - mmseg - INFO - Iter [117700/160000] lr: 4.687e-06, eta: 2:48:44, time: 0.196, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1905, decode.acc_seg: 92.2290, loss: 0.1905 +2023-03-05 08:19:59,509 - mmseg - INFO - Iter [117750/160000] lr: 4.687e-06, eta: 2:48:31, time: 0.195, data_time: 0.008, memory: 52540, decode.loss_ce: 0.1831, decode.acc_seg: 92.3825, loss: 0.1831 +2023-03-05 08:20:09,071 - mmseg - INFO - Iter [117800/160000] lr: 4.687e-06, eta: 2:48:18, time: 0.191, data_time: 0.008, memory: 52540, decode.loss_ce: 0.1956, decode.acc_seg: 92.0727, loss: 0.1956 +2023-03-05 08:20:18,796 - mmseg - INFO - Iter [117850/160000] lr: 4.687e-06, eta: 2:48:05, time: 0.194, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1818, decode.acc_seg: 92.6296, loss: 0.1818 +2023-03-05 08:20:28,688 - mmseg - INFO - Iter [117900/160000] lr: 4.687e-06, eta: 2:47:53, time: 0.198, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1836, decode.acc_seg: 92.3955, loss: 0.1836 +2023-03-05 08:20:38,204 - mmseg - INFO - Iter [117950/160000] lr: 4.687e-06, eta: 2:47:40, time: 0.190, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1886, decode.acc_seg: 92.2757, loss: 0.1886 +2023-03-05 08:20:50,349 - mmseg - INFO - Exp name: ablation_segformer_mit_b2_segformer_head_unet_fc_small_multi_step_ade_pretrained_freeze_embed_160k_ade20k151_mask_finetune_maskreplace.py +2023-03-05 08:20:50,350 - mmseg - INFO - Iter [118000/160000] lr: 4.687e-06, eta: 2:47:28, time: 0.243, data_time: 0.056, memory: 52540, decode.loss_ce: 0.1762, decode.acc_seg: 92.8129, loss: 0.1762 +2023-03-05 08:20:59,994 - mmseg - INFO - Iter [118050/160000] lr: 4.687e-06, eta: 2:47:15, time: 0.193, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1813, decode.acc_seg: 92.6130, loss: 0.1813 +2023-03-05 08:21:09,629 - mmseg - INFO - Iter [118100/160000] lr: 4.687e-06, eta: 2:47:02, time: 0.193, data_time: 0.008, memory: 52540, decode.loss_ce: 0.1944, decode.acc_seg: 92.2031, loss: 0.1944 +2023-03-05 08:21:19,509 - mmseg - INFO - Iter [118150/160000] lr: 4.687e-06, eta: 2:46:50, time: 0.197, data_time: 0.008, memory: 52540, decode.loss_ce: 0.1804, decode.acc_seg: 92.6237, loss: 0.1804 +2023-03-05 08:21:29,156 - mmseg - INFO - Iter [118200/160000] lr: 4.687e-06, eta: 2:46:37, time: 0.193, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1774, decode.acc_seg: 92.7291, loss: 0.1774 +2023-03-05 08:21:38,804 - mmseg - INFO - Iter [118250/160000] lr: 4.687e-06, eta: 2:46:24, time: 0.193, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1853, decode.acc_seg: 92.3004, loss: 0.1853 +2023-03-05 08:21:48,408 - mmseg - INFO - Iter [118300/160000] lr: 4.687e-06, eta: 2:46:11, time: 0.192, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1789, decode.acc_seg: 92.6750, loss: 0.1789 +2023-03-05 08:21:58,304 - mmseg - INFO - Iter [118350/160000] lr: 4.687e-06, eta: 2:45:59, time: 0.198, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1867, decode.acc_seg: 92.3839, loss: 0.1867 +2023-03-05 08:22:08,042 - mmseg - INFO - Iter [118400/160000] lr: 4.687e-06, eta: 2:45:46, time: 0.195, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1750, decode.acc_seg: 92.6440, loss: 0.1750 +2023-03-05 08:22:17,572 - mmseg - INFO - Iter [118450/160000] lr: 4.687e-06, eta: 2:45:33, time: 0.191, data_time: 0.008, memory: 52540, decode.loss_ce: 0.1910, decode.acc_seg: 92.2547, loss: 0.1910 +2023-03-05 08:22:27,279 - mmseg - INFO - Iter [118500/160000] lr: 4.687e-06, eta: 2:45:20, time: 0.194, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1852, decode.acc_seg: 92.4142, loss: 0.1852 +2023-03-05 08:22:36,814 - mmseg - INFO - Iter [118550/160000] lr: 4.687e-06, eta: 2:45:07, time: 0.191, data_time: 0.008, memory: 52540, decode.loss_ce: 0.1857, decode.acc_seg: 92.3214, loss: 0.1857 +2023-03-05 08:22:46,619 - mmseg - INFO - Iter [118600/160000] lr: 4.687e-06, eta: 2:44:55, time: 0.196, data_time: 0.008, memory: 52540, decode.loss_ce: 0.1871, decode.acc_seg: 92.3521, loss: 0.1871 +2023-03-05 08:22:58,866 - mmseg - INFO - Iter [118650/160000] lr: 4.687e-06, eta: 2:44:43, time: 0.245, data_time: 0.054, memory: 52540, decode.loss_ce: 0.1805, decode.acc_seg: 92.6148, loss: 0.1805 +2023-03-05 08:23:08,521 - mmseg - INFO - Iter [118700/160000] lr: 4.687e-06, eta: 2:44:30, time: 0.193, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1820, decode.acc_seg: 92.5184, loss: 0.1820 +2023-03-05 08:23:18,400 - mmseg - INFO - Iter [118750/160000] lr: 4.687e-06, eta: 2:44:17, time: 0.198, data_time: 0.008, memory: 52540, decode.loss_ce: 0.1798, decode.acc_seg: 92.5262, loss: 0.1798 +2023-03-05 08:23:27,964 - mmseg - INFO - Iter [118800/160000] lr: 4.687e-06, eta: 2:44:05, time: 0.191, data_time: 0.008, memory: 52540, decode.loss_ce: 0.1853, decode.acc_seg: 92.4776, loss: 0.1853 +2023-03-05 08:23:37,658 - mmseg - INFO - Iter [118850/160000] lr: 4.687e-06, eta: 2:43:52, time: 0.194, data_time: 0.008, memory: 52540, decode.loss_ce: 0.1791, decode.acc_seg: 92.6365, loss: 0.1791 +2023-03-05 08:23:47,525 - mmseg - INFO - Iter [118900/160000] lr: 4.687e-06, eta: 2:43:39, time: 0.197, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1812, decode.acc_seg: 92.5984, loss: 0.1812 +2023-03-05 08:23:57,108 - mmseg - INFO - Iter [118950/160000] lr: 4.687e-06, eta: 2:43:27, time: 0.192, data_time: 0.008, memory: 52540, decode.loss_ce: 0.1836, decode.acc_seg: 92.5202, loss: 0.1836 +2023-03-05 08:24:06,683 - mmseg - INFO - Exp name: ablation_segformer_mit_b2_segformer_head_unet_fc_small_multi_step_ade_pretrained_freeze_embed_160k_ade20k151_mask_finetune_maskreplace.py +2023-03-05 08:24:06,683 - mmseg - INFO - Iter [119000/160000] lr: 4.687e-06, eta: 2:43:14, time: 0.191, data_time: 0.008, memory: 52540, decode.loss_ce: 0.1907, decode.acc_seg: 92.3672, loss: 0.1907 +2023-03-05 08:24:16,411 - mmseg - INFO - Iter [119050/160000] lr: 4.687e-06, eta: 2:43:01, time: 0.195, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1808, decode.acc_seg: 92.5972, loss: 0.1808 +2023-03-05 08:24:26,097 - mmseg - INFO - Iter [119100/160000] lr: 4.687e-06, eta: 2:42:48, time: 0.194, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1819, decode.acc_seg: 92.4873, loss: 0.1819 +2023-03-05 08:24:35,818 - mmseg - INFO - Iter [119150/160000] lr: 4.687e-06, eta: 2:42:36, time: 0.194, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1950, decode.acc_seg: 92.0666, loss: 0.1950 +2023-03-05 08:24:45,414 - mmseg - INFO - Iter [119200/160000] lr: 4.687e-06, eta: 2:42:23, time: 0.192, data_time: 0.008, memory: 52540, decode.loss_ce: 0.1817, decode.acc_seg: 92.4472, loss: 0.1817 +2023-03-05 08:24:55,581 - mmseg - INFO - Iter [119250/160000] lr: 4.687e-06, eta: 2:42:10, time: 0.203, data_time: 0.008, memory: 52540, decode.loss_ce: 0.1826, decode.acc_seg: 92.5942, loss: 0.1826 +2023-03-05 08:25:07,920 - mmseg - INFO - Iter [119300/160000] lr: 4.687e-06, eta: 2:41:59, time: 0.247, data_time: 0.058, memory: 52540, decode.loss_ce: 0.1801, decode.acc_seg: 92.7739, loss: 0.1801 +2023-03-05 08:25:17,933 - mmseg - INFO - Iter [119350/160000] lr: 4.687e-06, eta: 2:41:46, time: 0.200, data_time: 0.008, memory: 52540, decode.loss_ce: 0.1806, decode.acc_seg: 92.5383, loss: 0.1806 +2023-03-05 08:25:27,685 - mmseg - INFO - Iter [119400/160000] lr: 4.687e-06, eta: 2:41:33, time: 0.195, data_time: 0.008, memory: 52540, decode.loss_ce: 0.1819, decode.acc_seg: 92.6217, loss: 0.1819 +2023-03-05 08:25:37,537 - mmseg - INFO - Iter [119450/160000] lr: 4.687e-06, eta: 2:41:21, time: 0.197, data_time: 0.008, memory: 52540, decode.loss_ce: 0.1897, decode.acc_seg: 92.1835, loss: 0.1897 +2023-03-05 08:25:47,395 - mmseg - INFO - Iter [119500/160000] lr: 4.687e-06, eta: 2:41:08, time: 0.197, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1833, decode.acc_seg: 92.2143, loss: 0.1833 +2023-03-05 08:25:57,403 - mmseg - INFO - Iter [119550/160000] lr: 4.687e-06, eta: 2:40:55, time: 0.200, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1841, decode.acc_seg: 92.2399, loss: 0.1841 +2023-03-05 08:26:07,332 - mmseg - INFO - Iter [119600/160000] lr: 4.687e-06, eta: 2:40:43, time: 0.199, data_time: 0.008, memory: 52540, decode.loss_ce: 0.1884, decode.acc_seg: 92.4239, loss: 0.1884 +2023-03-05 08:26:16,991 - mmseg - INFO - Iter [119650/160000] lr: 4.687e-06, eta: 2:40:30, time: 0.193, data_time: 0.008, memory: 52540, decode.loss_ce: 0.1779, decode.acc_seg: 92.7091, loss: 0.1779 +2023-03-05 08:26:27,122 - mmseg - INFO - Iter [119700/160000] lr: 4.687e-06, eta: 2:40:18, time: 0.202, data_time: 0.008, memory: 52540, decode.loss_ce: 0.1809, decode.acc_seg: 92.4787, loss: 0.1809 +2023-03-05 08:26:36,952 - mmseg - INFO - Iter [119750/160000] lr: 4.687e-06, eta: 2:40:05, time: 0.197, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1873, decode.acc_seg: 92.4254, loss: 0.1873 +2023-03-05 08:26:46,737 - mmseg - INFO - Iter [119800/160000] lr: 4.687e-06, eta: 2:39:52, time: 0.196, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1812, decode.acc_seg: 92.4102, loss: 0.1812 +2023-03-05 08:26:56,615 - mmseg - INFO - Iter [119850/160000] lr: 4.687e-06, eta: 2:39:40, time: 0.198, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1861, decode.acc_seg: 92.3974, loss: 0.1861 +2023-03-05 08:27:08,671 - mmseg - INFO - Iter [119900/160000] lr: 4.687e-06, eta: 2:39:28, time: 0.241, data_time: 0.056, memory: 52540, decode.loss_ce: 0.1843, decode.acc_seg: 92.5325, loss: 0.1843 +2023-03-05 08:27:18,475 - mmseg - INFO - Iter [119950/160000] lr: 4.687e-06, eta: 2:39:15, time: 0.196, data_time: 0.008, memory: 52540, decode.loss_ce: 0.1857, decode.acc_seg: 92.2790, loss: 0.1857 +2023-03-05 08:27:28,316 - mmseg - INFO - Exp name: ablation_segformer_mit_b2_segformer_head_unet_fc_small_multi_step_ade_pretrained_freeze_embed_160k_ade20k151_mask_finetune_maskreplace.py +2023-03-05 08:27:28,316 - mmseg - INFO - Iter [120000/160000] lr: 4.687e-06, eta: 2:39:02, time: 0.197, data_time: 0.008, memory: 52540, decode.loss_ce: 0.1790, decode.acc_seg: 92.6227, loss: 0.1790 +2023-03-05 08:27:38,064 - mmseg - INFO - Iter [120050/160000] lr: 2.344e-06, eta: 2:38:50, time: 0.195, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1894, decode.acc_seg: 92.2514, loss: 0.1894 +2023-03-05 08:27:48,054 - mmseg - INFO - Iter [120100/160000] lr: 2.344e-06, eta: 2:38:37, time: 0.200, data_time: 0.008, memory: 52540, decode.loss_ce: 0.1858, decode.acc_seg: 92.5517, loss: 0.1858 +2023-03-05 08:27:57,951 - mmseg - INFO - Iter [120150/160000] lr: 2.344e-06, eta: 2:38:25, time: 0.198, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1887, decode.acc_seg: 92.2249, loss: 0.1887 +2023-03-05 08:28:07,946 - mmseg - INFO - Iter [120200/160000] lr: 2.344e-06, eta: 2:38:12, time: 0.200, data_time: 0.008, memory: 52540, decode.loss_ce: 0.1861, decode.acc_seg: 92.3150, loss: 0.1861 +2023-03-05 08:28:17,618 - mmseg - INFO - Iter [120250/160000] lr: 2.344e-06, eta: 2:37:59, time: 0.193, data_time: 0.008, memory: 52540, decode.loss_ce: 0.1838, decode.acc_seg: 92.4077, loss: 0.1838 +2023-03-05 08:28:27,272 - mmseg - INFO - Iter [120300/160000] lr: 2.344e-06, eta: 2:37:47, time: 0.193, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1875, decode.acc_seg: 92.2142, loss: 0.1875 +2023-03-05 08:28:36,973 - mmseg - INFO - Iter [120350/160000] lr: 2.344e-06, eta: 2:37:34, time: 0.194, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1829, decode.acc_seg: 92.4300, loss: 0.1829 +2023-03-05 08:28:47,028 - mmseg - INFO - Iter [120400/160000] lr: 2.344e-06, eta: 2:37:22, time: 0.201, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1834, decode.acc_seg: 92.3573, loss: 0.1834 +2023-03-05 08:28:56,613 - mmseg - INFO - Iter [120450/160000] lr: 2.344e-06, eta: 2:37:09, time: 0.192, data_time: 0.008, memory: 52540, decode.loss_ce: 0.1826, decode.acc_seg: 92.4599, loss: 0.1826 +2023-03-05 08:29:06,259 - mmseg - INFO - Iter [120500/160000] lr: 2.344e-06, eta: 2:36:56, time: 0.193, data_time: 0.008, memory: 52540, decode.loss_ce: 0.1775, decode.acc_seg: 92.7421, loss: 0.1775 +2023-03-05 08:29:18,547 - mmseg - INFO - Iter [120550/160000] lr: 2.344e-06, eta: 2:36:44, time: 0.246, data_time: 0.056, memory: 52540, decode.loss_ce: 0.1831, decode.acc_seg: 92.4855, loss: 0.1831 +2023-03-05 08:29:28,114 - mmseg - INFO - Iter [120600/160000] lr: 2.344e-06, eta: 2:36:32, time: 0.191, data_time: 0.008, memory: 52540, decode.loss_ce: 0.1833, decode.acc_seg: 92.3762, loss: 0.1833 +2023-03-05 08:29:38,072 - mmseg - INFO - Iter [120650/160000] lr: 2.344e-06, eta: 2:36:19, time: 0.199, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1788, decode.acc_seg: 92.6165, loss: 0.1788 +2023-03-05 08:29:47,624 - mmseg - INFO - Iter [120700/160000] lr: 2.344e-06, eta: 2:36:06, time: 0.191, data_time: 0.008, memory: 52540, decode.loss_ce: 0.1868, decode.acc_seg: 92.2674, loss: 0.1868 +2023-03-05 08:29:57,273 - mmseg - INFO - Iter [120750/160000] lr: 2.344e-06, eta: 2:35:54, time: 0.193, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1808, decode.acc_seg: 92.3245, loss: 0.1808 +2023-03-05 08:30:06,916 - mmseg - INFO - Iter [120800/160000] lr: 2.344e-06, eta: 2:35:41, time: 0.193, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1799, decode.acc_seg: 92.6686, loss: 0.1799 +2023-03-05 08:30:16,522 - mmseg - INFO - Iter [120850/160000] lr: 2.344e-06, eta: 2:35:28, time: 0.192, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1882, decode.acc_seg: 92.2842, loss: 0.1882 +2023-03-05 08:30:26,112 - mmseg - INFO - Iter [120900/160000] lr: 2.344e-06, eta: 2:35:16, time: 0.192, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1768, decode.acc_seg: 92.7541, loss: 0.1768 +2023-03-05 08:30:36,035 - mmseg - INFO - Iter [120950/160000] lr: 2.344e-06, eta: 2:35:03, time: 0.198, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1849, decode.acc_seg: 92.3925, loss: 0.1849 +2023-03-05 08:30:45,875 - mmseg - INFO - Exp name: ablation_segformer_mit_b2_segformer_head_unet_fc_small_multi_step_ade_pretrained_freeze_embed_160k_ade20k151_mask_finetune_maskreplace.py +2023-03-05 08:30:45,875 - mmseg - INFO - Iter [121000/160000] lr: 2.344e-06, eta: 2:34:51, time: 0.197, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1814, decode.acc_seg: 92.6103, loss: 0.1814 +2023-03-05 08:30:55,469 - mmseg - INFO - Iter [121050/160000] lr: 2.344e-06, eta: 2:34:38, time: 0.192, data_time: 0.008, memory: 52540, decode.loss_ce: 0.1876, decode.acc_seg: 92.2834, loss: 0.1876 +2023-03-05 08:31:05,155 - mmseg - INFO - Iter [121100/160000] lr: 2.344e-06, eta: 2:34:25, time: 0.193, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1828, decode.acc_seg: 92.5706, loss: 0.1828 +2023-03-05 08:31:14,837 - mmseg - INFO - Iter [121150/160000] lr: 2.344e-06, eta: 2:34:13, time: 0.194, data_time: 0.008, memory: 52540, decode.loss_ce: 0.1840, decode.acc_seg: 92.5790, loss: 0.1840 +2023-03-05 08:31:27,076 - mmseg - INFO - Iter [121200/160000] lr: 2.344e-06, eta: 2:34:01, time: 0.245, data_time: 0.055, memory: 52540, decode.loss_ce: 0.1930, decode.acc_seg: 92.0601, loss: 0.1930 +2023-03-05 08:31:37,028 - mmseg - INFO - Iter [121250/160000] lr: 2.344e-06, eta: 2:33:48, time: 0.199, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1819, decode.acc_seg: 92.4650, loss: 0.1819 +2023-03-05 08:31:46,855 - mmseg - INFO - Iter [121300/160000] lr: 2.344e-06, eta: 2:33:36, time: 0.197, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1839, decode.acc_seg: 92.3324, loss: 0.1839 +2023-03-05 08:31:56,619 - mmseg - INFO - Iter [121350/160000] lr: 2.344e-06, eta: 2:33:23, time: 0.195, data_time: 0.008, memory: 52540, decode.loss_ce: 0.1860, decode.acc_seg: 92.3095, loss: 0.1860 +2023-03-05 08:32:06,228 - mmseg - INFO - Iter [121400/160000] lr: 2.344e-06, eta: 2:33:11, time: 0.192, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1859, decode.acc_seg: 92.4562, loss: 0.1859 +2023-03-05 08:32:16,019 - mmseg - INFO - Iter [121450/160000] lr: 2.344e-06, eta: 2:32:58, time: 0.196, data_time: 0.008, memory: 52540, decode.loss_ce: 0.1826, decode.acc_seg: 92.4881, loss: 0.1826 +2023-03-05 08:32:25,624 - mmseg - INFO - Iter [121500/160000] lr: 2.344e-06, eta: 2:32:45, time: 0.192, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1867, decode.acc_seg: 92.3369, loss: 0.1867 +2023-03-05 08:32:35,357 - mmseg - INFO - Iter [121550/160000] lr: 2.344e-06, eta: 2:32:33, time: 0.195, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1838, decode.acc_seg: 92.4836, loss: 0.1838 +2023-03-05 08:32:45,052 - mmseg - INFO - Iter [121600/160000] lr: 2.344e-06, eta: 2:32:20, time: 0.194, data_time: 0.008, memory: 52540, decode.loss_ce: 0.1884, decode.acc_seg: 92.3449, loss: 0.1884 +2023-03-05 08:32:55,029 - mmseg - INFO - Iter [121650/160000] lr: 2.344e-06, eta: 2:32:08, time: 0.199, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1762, decode.acc_seg: 92.7601, loss: 0.1762 +2023-03-05 08:33:05,130 - mmseg - INFO - Iter [121700/160000] lr: 2.344e-06, eta: 2:31:55, time: 0.202, data_time: 0.008, memory: 52540, decode.loss_ce: 0.1857, decode.acc_seg: 92.2693, loss: 0.1857 +2023-03-05 08:33:14,944 - mmseg - INFO - Iter [121750/160000] lr: 2.344e-06, eta: 2:31:43, time: 0.196, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1825, decode.acc_seg: 92.4595, loss: 0.1825 +2023-03-05 08:33:27,206 - mmseg - INFO - Iter [121800/160000] lr: 2.344e-06, eta: 2:31:31, time: 0.245, data_time: 0.055, memory: 52540, decode.loss_ce: 0.1806, decode.acc_seg: 92.6191, loss: 0.1806 +2023-03-05 08:33:36,780 - mmseg - INFO - Iter [121850/160000] lr: 2.344e-06, eta: 2:31:18, time: 0.191, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1899, decode.acc_seg: 92.2911, loss: 0.1899 +2023-03-05 08:33:46,375 - mmseg - INFO - Iter [121900/160000] lr: 2.344e-06, eta: 2:31:06, time: 0.192, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1856, decode.acc_seg: 92.3975, loss: 0.1856 +2023-03-05 08:33:56,378 - mmseg - INFO - Iter [121950/160000] lr: 2.344e-06, eta: 2:30:53, time: 0.200, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1862, decode.acc_seg: 92.3443, loss: 0.1862 +2023-03-05 08:34:06,236 - mmseg - INFO - Exp name: ablation_segformer_mit_b2_segformer_head_unet_fc_small_multi_step_ade_pretrained_freeze_embed_160k_ade20k151_mask_finetune_maskreplace.py +2023-03-05 08:34:06,236 - mmseg - INFO - Iter [122000/160000] lr: 2.344e-06, eta: 2:30:41, time: 0.197, data_time: 0.008, memory: 52540, decode.loss_ce: 0.1850, decode.acc_seg: 92.3824, loss: 0.1850 +2023-03-05 08:34:15,824 - mmseg - INFO - Iter [122050/160000] lr: 2.344e-06, eta: 2:30:28, time: 0.192, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1800, decode.acc_seg: 92.5735, loss: 0.1800 +2023-03-05 08:34:25,633 - mmseg - INFO - Iter [122100/160000] lr: 2.344e-06, eta: 2:30:15, time: 0.196, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1800, decode.acc_seg: 92.5411, loss: 0.1800 +2023-03-05 08:34:35,252 - mmseg - INFO - Iter [122150/160000] lr: 2.344e-06, eta: 2:30:03, time: 0.192, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1869, decode.acc_seg: 92.3336, loss: 0.1869 +2023-03-05 08:34:44,920 - mmseg - INFO - Iter [122200/160000] lr: 2.344e-06, eta: 2:29:50, time: 0.193, data_time: 0.008, memory: 52540, decode.loss_ce: 0.1830, decode.acc_seg: 92.5006, loss: 0.1830 +2023-03-05 08:34:54,919 - mmseg - INFO - Iter [122250/160000] lr: 2.344e-06, eta: 2:29:38, time: 0.200, data_time: 0.008, memory: 52540, decode.loss_ce: 0.1824, decode.acc_seg: 92.4238, loss: 0.1824 +2023-03-05 08:35:04,643 - mmseg - INFO - Iter [122300/160000] lr: 2.344e-06, eta: 2:29:25, time: 0.194, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1826, decode.acc_seg: 92.5399, loss: 0.1826 +2023-03-05 08:35:14,192 - mmseg - INFO - Iter [122350/160000] lr: 2.344e-06, eta: 2:29:13, time: 0.191, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1847, decode.acc_seg: 92.4100, loss: 0.1847 +2023-03-05 08:35:24,092 - mmseg - INFO - Iter [122400/160000] lr: 2.344e-06, eta: 2:29:00, time: 0.198, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1893, decode.acc_seg: 92.4044, loss: 0.1893 +2023-03-05 08:35:36,669 - mmseg - INFO - Iter [122450/160000] lr: 2.344e-06, eta: 2:28:48, time: 0.251, data_time: 0.056, memory: 52540, decode.loss_ce: 0.1813, decode.acc_seg: 92.5302, loss: 0.1813 +2023-03-05 08:35:46,420 - mmseg - INFO - Iter [122500/160000] lr: 2.344e-06, eta: 2:28:36, time: 0.195, data_time: 0.008, memory: 52540, decode.loss_ce: 0.1857, decode.acc_seg: 92.3991, loss: 0.1857 +2023-03-05 08:35:56,017 - mmseg - INFO - Iter [122550/160000] lr: 2.344e-06, eta: 2:28:23, time: 0.192, data_time: 0.008, memory: 52540, decode.loss_ce: 0.1829, decode.acc_seg: 92.3936, loss: 0.1829 +2023-03-05 08:36:05,675 - mmseg - INFO - Iter [122600/160000] lr: 2.344e-06, eta: 2:28:11, time: 0.193, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1874, decode.acc_seg: 92.3168, loss: 0.1874 +2023-03-05 08:36:15,337 - mmseg - INFO - Iter [122650/160000] lr: 2.344e-06, eta: 2:27:58, time: 0.193, data_time: 0.008, memory: 52540, decode.loss_ce: 0.1828, decode.acc_seg: 92.4686, loss: 0.1828 +2023-03-05 08:36:25,474 - mmseg - INFO - Iter [122700/160000] lr: 2.344e-06, eta: 2:27:46, time: 0.203, data_time: 0.008, memory: 52540, decode.loss_ce: 0.1830, decode.acc_seg: 92.6045, loss: 0.1830 +2023-03-05 08:36:35,156 - mmseg - INFO - Iter [122750/160000] lr: 2.344e-06, eta: 2:27:33, time: 0.194, data_time: 0.008, memory: 52540, decode.loss_ce: 0.1837, decode.acc_seg: 92.4982, loss: 0.1837 +2023-03-05 08:36:45,107 - mmseg - INFO - Iter [122800/160000] lr: 2.344e-06, eta: 2:27:21, time: 0.199, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1831, decode.acc_seg: 92.3790, loss: 0.1831 +2023-03-05 08:36:54,934 - mmseg - INFO - Iter [122850/160000] lr: 2.344e-06, eta: 2:27:08, time: 0.197, data_time: 0.008, memory: 52540, decode.loss_ce: 0.1746, decode.acc_seg: 92.7265, loss: 0.1746 +2023-03-05 08:37:04,474 - mmseg - INFO - Iter [122900/160000] lr: 2.344e-06, eta: 2:26:56, time: 0.191, data_time: 0.008, memory: 52540, decode.loss_ce: 0.1809, decode.acc_seg: 92.6344, loss: 0.1809 +2023-03-05 08:37:14,093 - mmseg - INFO - Iter [122950/160000] lr: 2.344e-06, eta: 2:26:43, time: 0.192, data_time: 0.008, memory: 52540, decode.loss_ce: 0.1851, decode.acc_seg: 92.4747, loss: 0.1851 +2023-03-05 08:37:23,913 - mmseg - INFO - Exp name: ablation_segformer_mit_b2_segformer_head_unet_fc_small_multi_step_ade_pretrained_freeze_embed_160k_ade20k151_mask_finetune_maskreplace.py +2023-03-05 08:37:23,913 - mmseg - INFO - Iter [123000/160000] lr: 2.344e-06, eta: 2:26:31, time: 0.196, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1774, decode.acc_seg: 92.6642, loss: 0.1774 +2023-03-05 08:37:36,211 - mmseg - INFO - Iter [123050/160000] lr: 2.344e-06, eta: 2:26:19, time: 0.246, data_time: 0.054, memory: 52540, decode.loss_ce: 0.1841, decode.acc_seg: 92.5214, loss: 0.1841 +2023-03-05 08:37:45,947 - mmseg - INFO - Iter [123100/160000] lr: 2.344e-06, eta: 2:26:06, time: 0.195, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1874, decode.acc_seg: 92.2736, loss: 0.1874 +2023-03-05 08:37:55,672 - mmseg - INFO - Iter [123150/160000] lr: 2.344e-06, eta: 2:25:54, time: 0.195, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1803, decode.acc_seg: 92.5402, loss: 0.1803 +2023-03-05 08:38:05,343 - mmseg - INFO - Iter [123200/160000] lr: 2.344e-06, eta: 2:25:41, time: 0.193, data_time: 0.008, memory: 52540, decode.loss_ce: 0.1819, decode.acc_seg: 92.5205, loss: 0.1819 +2023-03-05 08:38:15,265 - mmseg - INFO - Iter [123250/160000] lr: 2.344e-06, eta: 2:25:29, time: 0.198, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1860, decode.acc_seg: 92.3303, loss: 0.1860 +2023-03-05 08:38:24,912 - mmseg - INFO - Iter [123300/160000] lr: 2.344e-06, eta: 2:25:16, time: 0.193, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1819, decode.acc_seg: 92.4881, loss: 0.1819 +2023-03-05 08:38:34,872 - mmseg - INFO - Iter [123350/160000] lr: 2.344e-06, eta: 2:25:04, time: 0.199, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1841, decode.acc_seg: 92.4724, loss: 0.1841 +2023-03-05 08:38:44,807 - mmseg - INFO - Iter [123400/160000] lr: 2.344e-06, eta: 2:24:51, time: 0.199, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1908, decode.acc_seg: 92.4724, loss: 0.1908 +2023-03-05 08:38:54,519 - mmseg - INFO - Iter [123450/160000] lr: 2.344e-06, eta: 2:24:39, time: 0.194, data_time: 0.008, memory: 52540, decode.loss_ce: 0.1841, decode.acc_seg: 92.4390, loss: 0.1841 +2023-03-05 08:39:04,048 - mmseg - INFO - Iter [123500/160000] lr: 2.344e-06, eta: 2:24:26, time: 0.191, data_time: 0.008, memory: 52540, decode.loss_ce: 0.1865, decode.acc_seg: 92.3351, loss: 0.1865 +2023-03-05 08:39:13,822 - mmseg - INFO - Iter [123550/160000] lr: 2.344e-06, eta: 2:24:14, time: 0.195, data_time: 0.008, memory: 52540, decode.loss_ce: 0.1801, decode.acc_seg: 92.5353, loss: 0.1801 +2023-03-05 08:39:23,604 - mmseg - INFO - Iter [123600/160000] lr: 2.344e-06, eta: 2:24:01, time: 0.196, data_time: 0.008, memory: 52540, decode.loss_ce: 0.1861, decode.acc_seg: 92.2711, loss: 0.1861 +2023-03-05 08:39:33,218 - mmseg - INFO - Iter [123650/160000] lr: 2.344e-06, eta: 2:23:49, time: 0.192, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1833, decode.acc_seg: 92.5270, loss: 0.1833 +2023-03-05 08:39:45,375 - mmseg - INFO - Iter [123700/160000] lr: 2.344e-06, eta: 2:23:37, time: 0.243, data_time: 0.055, memory: 52540, decode.loss_ce: 0.1820, decode.acc_seg: 92.5131, loss: 0.1820 +2023-03-05 08:39:55,475 - mmseg - INFO - Iter [123750/160000] lr: 2.344e-06, eta: 2:23:25, time: 0.202, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1885, decode.acc_seg: 92.1779, loss: 0.1885 +2023-03-05 08:40:05,325 - mmseg - INFO - Iter [123800/160000] lr: 2.344e-06, eta: 2:23:12, time: 0.197, data_time: 0.008, memory: 52540, decode.loss_ce: 0.1871, decode.acc_seg: 92.2994, loss: 0.1871 +2023-03-05 08:40:15,237 - mmseg - INFO - Iter [123850/160000] lr: 2.344e-06, eta: 2:23:00, time: 0.198, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1903, decode.acc_seg: 92.2085, loss: 0.1903 +2023-03-05 08:40:25,158 - mmseg - INFO - Iter [123900/160000] lr: 2.344e-06, eta: 2:22:47, time: 0.198, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1879, decode.acc_seg: 92.4127, loss: 0.1879 +2023-03-05 08:40:34,742 - mmseg - INFO - Iter [123950/160000] lr: 2.344e-06, eta: 2:22:35, time: 0.192, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1905, decode.acc_seg: 92.2410, loss: 0.1905 +2023-03-05 08:40:44,480 - mmseg - INFO - Exp name: ablation_segformer_mit_b2_segformer_head_unet_fc_small_multi_step_ade_pretrained_freeze_embed_160k_ade20k151_mask_finetune_maskreplace.py +2023-03-05 08:40:44,481 - mmseg - INFO - Iter [124000/160000] lr: 2.344e-06, eta: 2:22:22, time: 0.195, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1830, decode.acc_seg: 92.5491, loss: 0.1830 +2023-03-05 08:40:54,278 - mmseg - INFO - Iter [124050/160000] lr: 2.344e-06, eta: 2:22:10, time: 0.196, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1874, decode.acc_seg: 92.4249, loss: 0.1874 +2023-03-05 08:41:03,949 - mmseg - INFO - Iter [124100/160000] lr: 2.344e-06, eta: 2:21:57, time: 0.193, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1947, decode.acc_seg: 92.0091, loss: 0.1947 +2023-03-05 08:41:13,638 - mmseg - INFO - Iter [124150/160000] lr: 2.344e-06, eta: 2:21:45, time: 0.194, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1816, decode.acc_seg: 92.6436, loss: 0.1816 +2023-03-05 08:41:23,375 - mmseg - INFO - Iter [124200/160000] lr: 2.344e-06, eta: 2:21:32, time: 0.195, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1883, decode.acc_seg: 92.2992, loss: 0.1883 +2023-03-05 08:41:32,934 - mmseg - INFO - Iter [124250/160000] lr: 2.344e-06, eta: 2:21:20, time: 0.191, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1860, decode.acc_seg: 92.3967, loss: 0.1860 +2023-03-05 08:41:43,319 - mmseg - INFO - Iter [124300/160000] lr: 2.344e-06, eta: 2:21:08, time: 0.208, data_time: 0.008, memory: 52540, decode.loss_ce: 0.1811, decode.acc_seg: 92.5597, loss: 0.1811 +2023-03-05 08:41:55,549 - mmseg - INFO - Iter [124350/160000] lr: 2.344e-06, eta: 2:20:56, time: 0.245, data_time: 0.056, memory: 52540, decode.loss_ce: 0.1822, decode.acc_seg: 92.5098, loss: 0.1822 +2023-03-05 08:42:05,352 - mmseg - INFO - Iter [124400/160000] lr: 2.344e-06, eta: 2:20:43, time: 0.196, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1867, decode.acc_seg: 92.5140, loss: 0.1867 +2023-03-05 08:42:15,100 - mmseg - INFO - Iter [124450/160000] lr: 2.344e-06, eta: 2:20:31, time: 0.195, data_time: 0.008, memory: 52540, decode.loss_ce: 0.1843, decode.acc_seg: 92.6176, loss: 0.1843 +2023-03-05 08:42:25,079 - mmseg - INFO - Iter [124500/160000] lr: 2.344e-06, eta: 2:20:18, time: 0.200, data_time: 0.008, memory: 52540, decode.loss_ce: 0.1894, decode.acc_seg: 92.2106, loss: 0.1894 +2023-03-05 08:42:34,730 - mmseg - INFO - Iter [124550/160000] lr: 2.344e-06, eta: 2:20:06, time: 0.193, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1845, decode.acc_seg: 92.4779, loss: 0.1845 +2023-03-05 08:42:44,314 - mmseg - INFO - Iter [124600/160000] lr: 2.344e-06, eta: 2:19:53, time: 0.192, data_time: 0.008, memory: 52540, decode.loss_ce: 0.1835, decode.acc_seg: 92.4987, loss: 0.1835 +2023-03-05 08:42:54,020 - mmseg - INFO - Iter [124650/160000] lr: 2.344e-06, eta: 2:19:41, time: 0.194, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1873, decode.acc_seg: 92.3419, loss: 0.1873 +2023-03-05 08:43:03,899 - mmseg - INFO - Iter [124700/160000] lr: 2.344e-06, eta: 2:19:29, time: 0.198, data_time: 0.008, memory: 52540, decode.loss_ce: 0.1819, decode.acc_seg: 92.5696, loss: 0.1819 +2023-03-05 08:43:13,632 - mmseg - INFO - Iter [124750/160000] lr: 2.344e-06, eta: 2:19:16, time: 0.195, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1858, decode.acc_seg: 92.4184, loss: 0.1858 +2023-03-05 08:43:23,386 - mmseg - INFO - Iter [124800/160000] lr: 2.344e-06, eta: 2:19:04, time: 0.195, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1895, decode.acc_seg: 92.0546, loss: 0.1895 +2023-03-05 08:43:33,280 - mmseg - INFO - Iter [124850/160000] lr: 2.344e-06, eta: 2:18:51, time: 0.198, data_time: 0.008, memory: 52540, decode.loss_ce: 0.1804, decode.acc_seg: 92.5713, loss: 0.1804 +2023-03-05 08:43:42,831 - mmseg - INFO - Iter [124900/160000] lr: 2.344e-06, eta: 2:18:39, time: 0.191, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1878, decode.acc_seg: 92.2096, loss: 0.1878 +2023-03-05 08:43:54,977 - mmseg - INFO - Iter [124950/160000] lr: 2.344e-06, eta: 2:18:27, time: 0.243, data_time: 0.054, memory: 52540, decode.loss_ce: 0.1963, decode.acc_seg: 91.8311, loss: 0.1963 +2023-03-05 08:44:04,675 - mmseg - INFO - Exp name: ablation_segformer_mit_b2_segformer_head_unet_fc_small_multi_step_ade_pretrained_freeze_embed_160k_ade20k151_mask_finetune_maskreplace.py +2023-03-05 08:44:04,675 - mmseg - INFO - Iter [125000/160000] lr: 2.344e-06, eta: 2:18:15, time: 0.194, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1828, decode.acc_seg: 92.5350, loss: 0.1828 +2023-03-05 08:44:14,428 - mmseg - INFO - Iter [125050/160000] lr: 2.344e-06, eta: 2:18:02, time: 0.195, data_time: 0.008, memory: 52540, decode.loss_ce: 0.1831, decode.acc_seg: 92.5663, loss: 0.1831 +2023-03-05 08:44:24,257 - mmseg - INFO - Iter [125100/160000] lr: 2.344e-06, eta: 2:17:50, time: 0.197, data_time: 0.008, memory: 52540, decode.loss_ce: 0.1847, decode.acc_seg: 92.4879, loss: 0.1847 +2023-03-05 08:44:33,972 - mmseg - INFO - Iter [125150/160000] lr: 2.344e-06, eta: 2:17:37, time: 0.194, data_time: 0.008, memory: 52540, decode.loss_ce: 0.1804, decode.acc_seg: 92.5929, loss: 0.1804 +2023-03-05 08:44:43,627 - mmseg - INFO - Iter [125200/160000] lr: 2.344e-06, eta: 2:17:25, time: 0.193, data_time: 0.008, memory: 52540, decode.loss_ce: 0.1895, decode.acc_seg: 92.1441, loss: 0.1895 +2023-03-05 08:44:53,273 - mmseg - INFO - Iter [125250/160000] lr: 2.344e-06, eta: 2:17:12, time: 0.193, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1863, decode.acc_seg: 92.6558, loss: 0.1863 +2023-03-05 08:45:02,960 - mmseg - INFO - Iter [125300/160000] lr: 2.344e-06, eta: 2:17:00, time: 0.194, data_time: 0.008, memory: 52540, decode.loss_ce: 0.1820, decode.acc_seg: 92.5921, loss: 0.1820 +2023-03-05 08:45:12,634 - mmseg - INFO - Iter [125350/160000] lr: 2.344e-06, eta: 2:16:47, time: 0.193, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1802, decode.acc_seg: 92.6295, loss: 0.1802 +2023-03-05 08:45:22,632 - mmseg - INFO - Iter [125400/160000] lr: 2.344e-06, eta: 2:16:35, time: 0.200, data_time: 0.008, memory: 52540, decode.loss_ce: 0.1850, decode.acc_seg: 92.3347, loss: 0.1850 +2023-03-05 08:45:32,399 - mmseg - INFO - Iter [125450/160000] lr: 2.344e-06, eta: 2:16:23, time: 0.195, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1887, decode.acc_seg: 92.3691, loss: 0.1887 +2023-03-05 08:45:42,075 - mmseg - INFO - Iter [125500/160000] lr: 2.344e-06, eta: 2:16:10, time: 0.193, data_time: 0.008, memory: 52540, decode.loss_ce: 0.1834, decode.acc_seg: 92.4467, loss: 0.1834 +2023-03-05 08:45:51,627 - mmseg - INFO - Iter [125550/160000] lr: 2.344e-06, eta: 2:15:58, time: 0.191, data_time: 0.008, memory: 52540, decode.loss_ce: 0.1834, decode.acc_seg: 92.2795, loss: 0.1834 +2023-03-05 08:46:03,664 - mmseg - INFO - Iter [125600/160000] lr: 2.344e-06, eta: 2:15:46, time: 0.241, data_time: 0.054, memory: 52540, decode.loss_ce: 0.1922, decode.acc_seg: 92.2100, loss: 0.1922 +2023-03-05 08:46:13,298 - mmseg - INFO - Iter [125650/160000] lr: 2.344e-06, eta: 2:15:34, time: 0.193, data_time: 0.008, memory: 52540, decode.loss_ce: 0.1821, decode.acc_seg: 92.5146, loss: 0.1821 +2023-03-05 08:46:23,064 - mmseg - INFO - Iter [125700/160000] lr: 2.344e-06, eta: 2:15:21, time: 0.195, data_time: 0.008, memory: 52540, decode.loss_ce: 0.1849, decode.acc_seg: 92.2889, loss: 0.1849 +2023-03-05 08:46:32,636 - mmseg - INFO - Iter [125750/160000] lr: 2.344e-06, eta: 2:15:09, time: 0.191, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1897, decode.acc_seg: 92.3290, loss: 0.1897 +2023-03-05 08:46:42,815 - mmseg - INFO - Iter [125800/160000] lr: 2.344e-06, eta: 2:14:56, time: 0.204, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1830, decode.acc_seg: 92.4315, loss: 0.1830 +2023-03-05 08:46:52,462 - mmseg - INFO - Iter [125850/160000] lr: 2.344e-06, eta: 2:14:44, time: 0.193, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1766, decode.acc_seg: 92.5637, loss: 0.1766 +2023-03-05 08:47:02,214 - mmseg - INFO - Iter [125900/160000] lr: 2.344e-06, eta: 2:14:32, time: 0.195, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1864, decode.acc_seg: 92.3903, loss: 0.1864 +2023-03-05 08:47:11,814 - mmseg - INFO - Iter [125950/160000] lr: 2.344e-06, eta: 2:14:19, time: 0.192, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1871, decode.acc_seg: 92.4465, loss: 0.1871 +2023-03-05 08:47:21,712 - mmseg - INFO - Exp name: ablation_segformer_mit_b2_segformer_head_unet_fc_small_multi_step_ade_pretrained_freeze_embed_160k_ade20k151_mask_finetune_maskreplace.py +2023-03-05 08:47:21,712 - mmseg - INFO - Iter [126000/160000] lr: 2.344e-06, eta: 2:14:07, time: 0.198, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1785, decode.acc_seg: 92.5897, loss: 0.1785 +2023-03-05 08:47:31,855 - mmseg - INFO - Iter [126050/160000] lr: 2.344e-06, eta: 2:13:54, time: 0.203, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1827, decode.acc_seg: 92.5379, loss: 0.1827 +2023-03-05 08:47:41,528 - mmseg - INFO - Iter [126100/160000] lr: 2.344e-06, eta: 2:13:42, time: 0.193, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1859, decode.acc_seg: 92.4658, loss: 0.1859 +2023-03-05 08:47:51,072 - mmseg - INFO - Iter [126150/160000] lr: 2.344e-06, eta: 2:13:30, time: 0.191, data_time: 0.008, memory: 52540, decode.loss_ce: 0.1829, decode.acc_seg: 92.4779, loss: 0.1829 +2023-03-05 08:48:00,628 - mmseg - INFO - Iter [126200/160000] lr: 2.344e-06, eta: 2:13:17, time: 0.191, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1770, decode.acc_seg: 92.6558, loss: 0.1770 +2023-03-05 08:48:12,793 - mmseg - INFO - Iter [126250/160000] lr: 2.344e-06, eta: 2:13:05, time: 0.243, data_time: 0.055, memory: 52540, decode.loss_ce: 0.1870, decode.acc_seg: 92.4187, loss: 0.1870 +2023-03-05 08:48:22,400 - mmseg - INFO - Iter [126300/160000] lr: 2.344e-06, eta: 2:12:53, time: 0.192, data_time: 0.008, memory: 52540, decode.loss_ce: 0.1925, decode.acc_seg: 92.1184, loss: 0.1925 +2023-03-05 08:48:32,040 - mmseg - INFO - Iter [126350/160000] lr: 2.344e-06, eta: 2:12:41, time: 0.193, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1787, decode.acc_seg: 92.6677, loss: 0.1787 +2023-03-05 08:48:41,779 - mmseg - INFO - Iter [126400/160000] lr: 2.344e-06, eta: 2:12:28, time: 0.195, data_time: 0.008, memory: 52540, decode.loss_ce: 0.1799, decode.acc_seg: 92.4862, loss: 0.1799 +2023-03-05 08:48:51,506 - mmseg - INFO - Iter [126450/160000] lr: 2.344e-06, eta: 2:12:16, time: 0.195, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1885, decode.acc_seg: 92.3567, loss: 0.1885 +2023-03-05 08:49:01,225 - mmseg - INFO - Iter [126500/160000] lr: 2.344e-06, eta: 2:12:03, time: 0.194, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1846, decode.acc_seg: 92.2884, loss: 0.1846 +2023-03-05 08:49:11,016 - mmseg - INFO - Iter [126550/160000] lr: 2.344e-06, eta: 2:11:51, time: 0.196, data_time: 0.008, memory: 52540, decode.loss_ce: 0.1826, decode.acc_seg: 92.5607, loss: 0.1826 +2023-03-05 08:49:20,674 - mmseg - INFO - Iter [126600/160000] lr: 2.344e-06, eta: 2:11:39, time: 0.193, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1773, decode.acc_seg: 92.6909, loss: 0.1773 +2023-03-05 08:49:30,247 - mmseg - INFO - Iter [126650/160000] lr: 2.344e-06, eta: 2:11:26, time: 0.191, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1811, decode.acc_seg: 92.5368, loss: 0.1811 +2023-03-05 08:49:39,793 - mmseg - INFO - Iter [126700/160000] lr: 2.344e-06, eta: 2:11:14, time: 0.191, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1882, decode.acc_seg: 92.2628, loss: 0.1882 +2023-03-05 08:49:49,558 - mmseg - INFO - Iter [126750/160000] lr: 2.344e-06, eta: 2:11:01, time: 0.195, data_time: 0.008, memory: 52540, decode.loss_ce: 0.1873, decode.acc_seg: 92.2549, loss: 0.1873 +2023-03-05 08:49:59,243 - mmseg - INFO - Iter [126800/160000] lr: 2.344e-06, eta: 2:10:49, time: 0.194, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1896, decode.acc_seg: 92.2604, loss: 0.1896 +2023-03-05 08:50:11,478 - mmseg - INFO - Iter [126850/160000] lr: 2.344e-06, eta: 2:10:37, time: 0.245, data_time: 0.057, memory: 52540, decode.loss_ce: 0.1831, decode.acc_seg: 92.4256, loss: 0.1831 +2023-03-05 08:50:21,186 - mmseg - INFO - Iter [126900/160000] lr: 2.344e-06, eta: 2:10:25, time: 0.194, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1912, decode.acc_seg: 92.1016, loss: 0.1912 +2023-03-05 08:50:30,903 - mmseg - INFO - Iter [126950/160000] lr: 2.344e-06, eta: 2:10:13, time: 0.194, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1770, decode.acc_seg: 92.6969, loss: 0.1770 +2023-03-05 08:50:40,578 - mmseg - INFO - Exp name: ablation_segformer_mit_b2_segformer_head_unet_fc_small_multi_step_ade_pretrained_freeze_embed_160k_ade20k151_mask_finetune_maskreplace.py +2023-03-05 08:50:40,578 - mmseg - INFO - Iter [127000/160000] lr: 2.344e-06, eta: 2:10:00, time: 0.193, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1883, decode.acc_seg: 92.2272, loss: 0.1883 +2023-03-05 08:50:50,350 - mmseg - INFO - Iter [127050/160000] lr: 2.344e-06, eta: 2:09:48, time: 0.195, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1929, decode.acc_seg: 92.2982, loss: 0.1929 +2023-03-05 08:51:00,101 - mmseg - INFO - Iter [127100/160000] lr: 2.344e-06, eta: 2:09:36, time: 0.195, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1859, decode.acc_seg: 92.4495, loss: 0.1859 +2023-03-05 08:51:09,742 - mmseg - INFO - Iter [127150/160000] lr: 2.344e-06, eta: 2:09:23, time: 0.193, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1822, decode.acc_seg: 92.5721, loss: 0.1822 +2023-03-05 08:51:19,455 - mmseg - INFO - Iter [127200/160000] lr: 2.344e-06, eta: 2:09:11, time: 0.194, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1834, decode.acc_seg: 92.3862, loss: 0.1834 +2023-03-05 08:51:29,176 - mmseg - INFO - Iter [127250/160000] lr: 2.344e-06, eta: 2:08:58, time: 0.194, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1808, decode.acc_seg: 92.5361, loss: 0.1808 +2023-03-05 08:51:38,859 - mmseg - INFO - Iter [127300/160000] lr: 2.344e-06, eta: 2:08:46, time: 0.193, data_time: 0.008, memory: 52540, decode.loss_ce: 0.1827, decode.acc_seg: 92.2392, loss: 0.1827 +2023-03-05 08:51:48,726 - mmseg - INFO - Iter [127350/160000] lr: 2.344e-06, eta: 2:08:34, time: 0.198, data_time: 0.008, memory: 52540, decode.loss_ce: 0.1784, decode.acc_seg: 92.5666, loss: 0.1784 +2023-03-05 08:51:58,483 - mmseg - INFO - Iter [127400/160000] lr: 2.344e-06, eta: 2:08:21, time: 0.195, data_time: 0.008, memory: 52540, decode.loss_ce: 0.1837, decode.acc_seg: 92.5031, loss: 0.1837 +2023-03-05 08:52:08,217 - mmseg - INFO - Iter [127450/160000] lr: 2.344e-06, eta: 2:08:09, time: 0.195, data_time: 0.008, memory: 52540, decode.loss_ce: 0.1824, decode.acc_seg: 92.4202, loss: 0.1824 +2023-03-05 08:52:20,359 - mmseg - INFO - Iter [127500/160000] lr: 2.344e-06, eta: 2:07:57, time: 0.243, data_time: 0.057, memory: 52540, decode.loss_ce: 0.1852, decode.acc_seg: 92.4466, loss: 0.1852 +2023-03-05 08:52:30,045 - mmseg - INFO - Iter [127550/160000] lr: 2.344e-06, eta: 2:07:45, time: 0.194, data_time: 0.008, memory: 52540, decode.loss_ce: 0.1847, decode.acc_seg: 92.3089, loss: 0.1847 +2023-03-05 08:52:39,665 - mmseg - INFO - Iter [127600/160000] lr: 2.344e-06, eta: 2:07:33, time: 0.192, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1955, decode.acc_seg: 91.9319, loss: 0.1955 +2023-03-05 08:52:49,423 - mmseg - INFO - Iter [127650/160000] lr: 2.344e-06, eta: 2:07:20, time: 0.195, data_time: 0.008, memory: 52540, decode.loss_ce: 0.1815, decode.acc_seg: 92.5906, loss: 0.1815 +2023-03-05 08:52:58,943 - mmseg - INFO - Iter [127700/160000] lr: 2.344e-06, eta: 2:07:08, time: 0.190, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1831, decode.acc_seg: 92.4517, loss: 0.1831 +2023-03-05 08:53:08,623 - mmseg - INFO - Iter [127750/160000] lr: 2.344e-06, eta: 2:06:56, time: 0.194, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1828, decode.acc_seg: 92.5109, loss: 0.1828 +2023-03-05 08:53:18,389 - mmseg - INFO - Iter [127800/160000] lr: 2.344e-06, eta: 2:06:43, time: 0.195, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1837, decode.acc_seg: 92.4356, loss: 0.1837 +2023-03-05 08:53:28,022 - mmseg - INFO - Iter [127850/160000] lr: 2.344e-06, eta: 2:06:31, time: 0.192, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1896, decode.acc_seg: 92.1304, loss: 0.1896 +2023-03-05 08:53:37,739 - mmseg - INFO - Iter [127900/160000] lr: 2.344e-06, eta: 2:06:19, time: 0.195, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1798, decode.acc_seg: 92.5611, loss: 0.1798 +2023-03-05 08:53:47,412 - mmseg - INFO - Iter [127950/160000] lr: 2.344e-06, eta: 2:06:06, time: 0.193, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1829, decode.acc_seg: 92.5562, loss: 0.1829 +2023-03-05 08:53:57,181 - mmseg - INFO - Swap parameters (after train) after iter [128000] +2023-03-05 08:53:57,215 - mmseg - INFO - Saving checkpoint at 128000 iterations +2023-03-05 08:53:58,237 - mmseg - INFO - Exp name: ablation_segformer_mit_b2_segformer_head_unet_fc_small_multi_step_ade_pretrained_freeze_embed_160k_ade20k151_mask_finetune_maskreplace.py +2023-03-05 08:53:58,237 - mmseg - INFO - Iter [128000/160000] lr: 2.344e-06, eta: 2:05:54, time: 0.216, data_time: 0.008, memory: 52540, decode.loss_ce: 0.1899, decode.acc_seg: 92.2557, loss: 0.1899 +2023-03-05 09:05:00,656 - mmseg - INFO - per class results: +2023-03-05 09:05:00,665 - mmseg - INFO - ++---------------------+-------------------------------------------------------------------+ +| Class | IoU 0,10,20,30,40,50,60,70,80,90,99 | ++---------------------+-------------------------------------------------------------------+ +| background | nan,nan,nan,nan,nan,nan,nan,nan,nan,nan,nan | +| wall | 77.41,77.43,77.45,77.48,77.5,77.51,77.53,77.53,77.53,77.53,77.54 | +| building | 81.72,81.74,81.74,81.74,81.76,81.76,81.75,81.75,81.76,81.75,81.73 | +| sky | 94.48,94.48,94.49,94.5,94.5,94.5,94.51,94.52,94.52,94.52,94.53 | +| floor | 81.55,81.57,81.6,81.61,81.64,81.65,81.66,81.69,81.7,81.71,81.72 | +| tree | 74.17,74.2,74.22,74.26,74.27,74.29,74.3,74.32,74.32,74.33,74.38 | +| ceiling | 84.93,84.95,85.0,85.04,85.05,85.07,85.09,85.09,85.11,85.13,85.16 | +| road | 82.15,82.14,82.14,82.11,82.12,82.09,81.99,81.95,81.93,81.93,81.9 | +| bed | 87.74,87.75,87.75,87.77,87.81,87.86,87.88,87.91,87.97,87.97,87.95 | +| windowpane | 60.29,60.29,60.31,60.34,60.42,60.44,60.5,60.58,60.59,60.61,60.62 | +| grass | 67.14,67.15,67.19,67.19,67.18,67.24,67.21,67.19,67.21,67.2,67.16 | +| cabinet | 60.36,60.45,60.49,60.6,60.69,60.77,60.8,60.82,60.85,60.85,60.99 | +| sidewalk | 64.63,64.65,64.61,64.56,64.5,64.46,64.4,64.39,64.35,64.34,64.33 | +| person | 79.73,79.75,79.78,79.8,79.81,79.84,79.83,79.86,79.86,79.86,79.84 | +| earth | 35.93,35.99,36.02,36.0,36.02,35.97,35.81,35.78,35.8,35.81,35.85 | +| door | 46.39,46.39,46.36,46.42,46.47,46.51,46.49,46.51,46.48,46.4,46.43 | +| table | 61.14,61.17,61.17,61.2,61.17,61.15,61.15,61.18,61.17,61.16,61.24 | +| mountain | 57.31,57.47,57.65,57.71,57.76,57.79,57.82,57.86,57.92,57.96,58.01 | +| plant | 49.42,49.42,49.38,49.4,49.39,49.39,49.39,49.38,49.37,49.38,49.43 | +| curtain | 73.92,73.92,73.95,73.92,73.98,73.94,73.95,73.98,74.03,74.05,74.09 | +| chair | 56.67,56.72,56.76,56.78,56.8,56.84,56.82,56.84,56.86,56.85,56.85 | +| car | 81.87,81.89,81.94,81.97,82.0,82.05,82.11,82.11,82.18,82.16,82.17 | +| water | 58.06,58.04,58.03,58.04,58.04,57.98,57.94,57.94,57.9,57.89,57.91 | +| painting | 70.15,70.07,69.99,69.88,69.9,69.84,69.85,69.8,69.77,69.73,69.76 | +| sofa | 64.55,64.66,64.81,64.85,64.93,64.88,64.92,64.97,64.97,64.98,64.86 | +| shelf | 43.67,43.7,43.69,43.7,43.81,43.77,43.79,43.86,43.96,43.96,44.0 | +| house | 42.89,43.14,43.42,43.45,43.64,43.69,43.63,43.65,43.63,43.59,43.32 | +| sea | 60.66,60.67,60.66,60.7,60.74,60.74,60.77,60.77,60.76,60.74,60.66 | +| mirror | 66.1,66.05,65.96,65.89,65.92,65.78,65.74,65.7,65.74,65.74,65.92 | +| rug | 64.49,64.56,64.49,64.45,64.52,64.47,64.43,64.44,64.49,64.52,64.48 | +| field | 30.09,30.11,30.13,30.13,30.15,30.18,30.19,30.23,30.23,30.25,30.28 | +| armchair | 37.6,37.65,37.68,37.76,37.87,37.87,37.93,37.9,37.95,37.92,37.93 | +| seat | 66.17,66.19,66.29,66.28,66.39,66.38,66.44,66.42,66.46,66.44,66.47 | +| fence | 41.11,41.18,41.22,41.25,41.33,41.34,41.31,41.33,41.31,41.31,41.35 | +| desk | 46.75,46.87,47.02,47.09,47.22,47.25,47.37,47.45,47.48,47.48,47.49 | +| rock | 37.15,37.2,37.21,37.28,37.28,37.27,37.29,37.31,37.37,37.43,37.32 | +| wardrobe | 57.33,57.39,57.42,57.4,57.47,57.49,57.48,57.44,57.45,57.44,57.42 | +| lamp | 62.21,62.29,62.28,62.32,62.35,62.28,62.28,62.3,62.24,62.23,62.33 | +| bathtub | 77.95,78.05,78.18,78.22,78.25,78.36,78.37,78.51,78.5,78.48,78.69 | +| railing | 33.21,33.22,33.22,33.09,33.04,32.96,32.9,33.01,32.9,32.93,32.88 | +| cushion | 57.31,57.43,57.59,57.76,57.71,57.81,57.83,57.93,57.9,57.97,57.99 | +| base | 21.09,21.22,21.35,21.61,21.95,21.88,22.03,22.06,22.08,22.03,21.91 | +| box | 23.22,23.28,23.44,23.39,23.66,23.85,24.02,23.93,23.97,24.0,24.08 | +| column | 45.96,46.09,46.19,46.33,46.62,46.78,46.92,47.01,47.01,47.07,47.14 | +| signboard | 37.79,37.82,37.78,37.81,37.78,37.76,37.72,37.63,37.67,37.63,37.57 | +| chest of drawers | 36.07,36.11,36.01,36.29,36.52,36.64,36.77,36.73,36.6,36.37,36.83 | +| counter | 32.6,32.66,32.64,32.7,32.71,32.78,32.83,32.81,32.79,32.76,32.84 | +| sand | 42.31,42.2,42.08,42.04,41.87,41.78,41.59,41.5,41.41,41.28,41.18 | +| sink | 68.36,68.35,68.34,68.25,68.2,68.27,68.28,68.23,68.18,68.09,68.01 | +| skyscraper | 52.52,52.0,51.35,50.95,50.58,50.47,50.17,50.05,50.0,49.84,49.53 | +| fireplace | 75.11,75.26,75.5,75.85,75.94,76.18,76.21,76.27,76.35,76.37,76.53 | +| refrigerator | 73.98,74.35,74.94,75.26,75.55,75.83,76.11,76.17,75.87,75.73,76.11 | +| grandstand | 52.6,52.63,52.58,52.75,52.75,52.85,52.98,53.04,53.19,53.22,53.27 | +| path | 22.11,22.22,22.33,22.37,22.45,22.46,22.55,22.57,22.62,22.75,22.93 | +| stairs | 33.07,33.02,32.91,32.8,32.84,32.7,32.62,32.57,32.55,32.52,32.54 | +| runway | 68.02,68.05,68.11,68.17,68.19,68.23,68.24,68.24,68.23,68.27,68.29 | +| case | 46.57,46.72,46.85,46.97,47.31,47.46,47.48,47.64,47.6,47.64,47.6 | +| pool table | 91.26,91.29,91.33,91.35,91.39,91.54,91.5,91.6,91.61,91.62,91.66 | +| pillow | 61.81,62.04,62.33,62.61,62.54,62.79,62.66,62.89,62.79,62.88,62.94 | +| screen door | 70.19,70.1,70.05,69.89,69.88,69.77,69.93,69.72,69.79,69.71,69.68 | +| stairway | 23.34,23.24,23.22,23.12,23.1,22.82,22.71,22.72,22.67,22.6,22.33 | +| river | 12.05,12.02,12.0,11.99,11.97,11.98,11.94,11.92,11.93,11.92,11.89 | +| bridge | 31.61,31.76,31.77,31.92,31.92,31.97,31.79,31.87,31.93,31.79,31.34 | +| bookcase | 46.39,46.49,46.34,46.53,46.57,46.66,46.65,46.76,46.8,46.77,46.74 | +| blind | 40.01,39.83,39.75,39.94,40.07,40.34,40.52,40.51,40.56,40.56,40.96 | +| coffee table | 52.37,52.26,52.25,52.18,52.04,52.12,51.93,51.94,51.98,52.06,52.24 | +| toilet | 83.71,83.64,83.64,83.62,83.58,83.57,83.59,83.61,83.58,83.61,83.58 | +| flower | 38.7,38.68,38.69,38.61,38.68,38.61,38.52,38.48,38.5,38.59,38.55 | +| book | 45.68,45.65,45.53,45.55,45.56,45.53,45.5,45.51,45.48,45.39,45.26 | +| hill | 16.12,16.24,16.32,16.33,16.36,16.45,16.45,16.52,16.66,16.66,16.78 | +| bench | 43.92,43.79,43.78,43.62,43.55,43.61,43.5,43.51,43.47,43.41,42.87 | +| countertop | 54.19,54.21,54.28,54.14,54.01,53.9,53.96,53.94,54.09,54.08,54.22 | +| stove | 71.61,71.53,71.53,71.34,71.31,71.03,70.79,70.58,70.4,70.31,70.21 | +| palm | 47.91,47.94,48.03,48.06,48.11,48.15,48.2,48.25,48.33,48.4,48.47 | +| kitchen island | 44.95,45.21,45.33,45.6,45.66,45.97,46.11,46.17,46.45,46.6,47.04 | +| computer | 59.82,59.79,59.8,59.71,59.81,59.72,59.71,59.64,59.71,59.61,59.61 | +| swivel chair | 43.65,43.77,43.88,43.91,43.91,44.0,43.92,44.16,44.26,44.5,44.34 | +| boat | 70.95,70.98,71.16,71.22,71.34,71.47,71.49,71.5,71.62,71.67,71.74 | +| bar | 23.88,23.99,24.04,24.06,24.16,24.17,24.18,24.26,24.27,24.27,24.25 | +| arcade machine | 70.46,70.77,71.16,71.31,71.73,72.0,71.82,72.24,71.98,72.53,72.3 | +| hovel | 30.33,30.19,30.13,29.79,29.72,29.36,29.02,28.88,28.55,27.96,27.89 | +| bus | 77.27,77.37,77.55,77.5,77.77,77.91,77.82,77.84,78.03,78.07,78.24 | +| towel | 64.21,64.27,64.23,64.29,64.2,64.4,64.43,64.35,64.37,64.33,64.38 | +| light | 55.61,55.73,55.86,55.77,55.98,56.08,56.05,56.17,56.17,56.29,56.27 | +| truck | 17.78,17.69,17.71,17.79,17.78,17.79,17.78,17.69,17.71,17.8,17.81 | +| tower | 7.43,7.49,7.77,7.98,8.22,8.22,8.09,8.19,8.19,8.35,8.31 | +| chandelier | 65.61,65.74,65.86,65.93,66.0,66.06,66.02,66.11,66.11,66.2,66.37 | +| awning | 22.99,23.23,23.24,23.46,23.46,23.53,23.58,23.63,23.9,23.89,23.9 | +| streetlight | 27.46,27.5,27.43,27.43,27.48,27.5,27.62,27.65,27.68,27.7,27.86 | +| booth | 44.54,44.81,45.26,45.49,45.91,45.91,46.35,46.25,46.55,46.59,46.71 | +| television receiver | 65.12,65.15,65.28,65.17,65.19,65.18,65.12,64.99,65.06,65.04,64.84 | +| airplane | 58.61,58.62,58.6,58.61,58.64,58.66,58.68,58.73,58.77,58.79,58.81 | +| dirt track | 19.62,19.75,19.61,19.76,19.96,20.19,20.3,19.96,20.04,20.02,19.89 | +| apparel | 33.78,33.96,34.19,34.44,34.64,34.92,34.8,35.11,35.42,35.53,35.42 | +| pole | 17.54,17.61,17.53,17.61,17.8,17.72,17.75,17.69,17.74,17.63,17.25 | +| land | 3.96,3.98,4.05,4.07,4.11,4.19,4.16,4.2,4.19,4.21,4.17 | +| bannister | 12.61,12.79,12.78,12.94,12.89,12.94,12.95,12.7,12.74,12.8,12.82 | +| escalator | 25.05,25.03,25.02,25.03,25.0,25.02,25.01,25.0,25.01,25.03,25.03 | +| ottoman | 44.45,44.46,44.37,44.46,44.67,44.72,44.99,45.09,45.56,45.34,45.28 | +| bottle | 36.65,36.64,36.63,36.56,36.57,36.63,36.62,36.68,36.6,36.58,36.52 | +| buffet | 36.02,36.26,37.16,37.03,38.33,38.89,39.45,40.19,39.88,39.99,39.69 | +| poster | 23.84,23.88,23.84,23.91,23.85,23.94,23.86,23.85,23.93,23.87,23.84 | +| stage | 14.55,14.53,14.54,14.6,14.6,14.59,14.61,14.63,14.61,14.63,14.43 | +| van | 38.47,38.5,38.54,38.55,38.46,38.61,38.77,38.68,38.77,38.83,38.68 | +| ship | 81.12,81.3,81.37,81.46,81.55,81.72,81.79,81.95,81.96,82.11,82.26 | +| fountain | 20.58,20.94,21.28,21.34,21.57,21.74,21.88,22.02,22.17,22.35,22.28 | +| conveyer belt | 85.69,85.71,85.49,85.53,85.51,85.53,85.69,85.54,85.57,85.71,85.68 | +| canopy | 25.09,25.29,25.3,25.43,25.54,25.47,25.57,25.61,25.46,25.46,25.48 | +| washer | 73.66,73.67,73.8,73.58,73.71,73.82,74.36,74.59,74.64,74.8,74.76 | +| plaything | 22.07,22.13,22.18,22.13,22.16,22.18,22.18,22.17,22.03,22.03,22.03 | +| swimming pool | 74.77,74.99,75.26,75.36,75.59,75.7,75.8,75.97,76.06,76.1,76.16 | +| stool | 44.26,44.26,44.22,44.26,44.1,44.2,44.06,44.12,44.07,44.08,44.03 | +| barrel | 56.44,57.65,57.79,58.67,59.31,59.28,58.71,59.1,58.35,58.14,58.23 | +| basket | 24.63,24.7,24.78,24.83,24.8,24.95,24.95,24.91,24.87,24.95,24.91 | +| waterfall | 50.11,49.81,49.61,49.53,49.43,49.48,49.54,49.53,49.6,49.54,49.58 | +| tent | 95.36,95.4,95.44,95.5,95.52,95.65,95.53,95.56,95.59,95.66,95.6 | +| bag | 14.92,14.99,15.03,15.01,15.23,15.22,15.16,15.24,15.24,15.23,15.23 | +| minibike | 64.13,64.14,64.08,63.95,64.12,63.92,64.05,64.03,63.88,63.82,63.85 | +| cradle | 84.45,84.57,84.79,84.79,84.86,84.83,84.95,85.03,85.08,85.1,85.18 | +| oven | 46.65,46.68,46.68,46.81,46.72,46.96,47.1,47.24,47.6,47.67,48.12 | +| ball | 42.96,43.14,43.57,43.71,44.14,44.26,44.49,45.02,45.19,45.55,45.83 | +| food | 53.17,53.1,53.11,52.84,52.91,52.99,52.93,52.76,52.64,52.47,52.68 | +| step | 4.85,4.83,4.98,4.66,4.87,4.69,4.64,4.7,4.68,4.67,4.7 | +| tank | 51.34,51.37,51.39,51.72,52.0,51.66,51.44,51.57,51.58,51.59,51.85 | +| trade name | 27.69,27.93,27.61,27.92,27.84,27.58,27.73,27.57,27.79,27.56,27.66 | +| microwave | 67.71,68.32,69.08,69.58,69.95,70.31,70.46,70.76,70.81,70.96,71.2 | +| pot | 29.99,30.07,30.13,30.14,30.26,30.35,30.41,30.45,30.4,30.5,30.54 | +| animal | 53.96,54.01,53.99,54.02,54.02,54.04,54.03,54.04,54.06,54.07,54.09 | +| bicycle | 53.87,54.04,54.31,54.5,54.48,54.58,54.72,54.78,54.69,54.91,55.2 | +| lake | 57.57,57.6,57.64,57.69,57.69,57.71,57.72,57.67,57.69,57.69,57.79 | +| dishwasher | 67.35,67.4,67.43,67.5,67.59,67.75,67.75,67.65,67.75,67.78,67.46 | +| screen | 68.86,68.55,68.89,68.7,67.98,67.55,68.08,67.66,67.33,67.4,67.01 | +| blanket | 19.29,19.43,19.6,19.68,19.7,19.71,19.82,20.01,19.88,19.91,19.87 | +| sculpture | 56.73,56.61,56.61,56.57,56.7,56.7,56.62,56.64,56.74,56.74,56.94 | +| hood | 60.9,61.05,60.95,61.29,61.25,61.42,61.5,61.4,61.5,61.42,61.39 | +| sconce | 42.42,42.59,42.57,42.71,42.77,42.83,42.9,43.05,43.04,43.21,43.28 | +| vase | 37.33,37.6,37.77,38.07,38.18,38.31,38.34,38.47,38.4,38.51,38.62 | +| traffic light | 32.13,32.27,32.2,32.24,32.39,32.4,32.31,32.39,32.31,32.27,32.34 | +| tray | 8.81,8.93,8.87,9.14,9.26,9.16,9.39,9.38,9.27,9.35,10.06 | +| ashcan | 40.45,40.54,40.55,40.62,40.62,40.7,40.79,40.86,40.63,40.6,40.68 | +| fan | 57.57,57.66,57.74,57.91,58.03,58.12,58.14,58.29,58.28,58.24,58.5 | +| pier | 49.47,49.74,50.05,50.2,50.41,50.53,50.77,50.51,50.74,50.74,51.07 | +| crt screen | 9.96,10.01,10.02,10.08,10.11,10.09,10.2,10.14,10.2,10.11,10.12 | +| plate | 53.36,53.46,53.43,53.41,53.42,53.49,53.4,53.4,53.4,53.4,53.36 | +| monitor | 31.59,31.41,31.44,31.18,30.87,30.62,30.5,30.16,30.14,29.77,29.46 | +| bulletin board | 36.46,36.74,36.43,36.56,36.79,36.71,36.69,36.68,36.59,36.61,36.63 | +| shower | 2.23,2.23,2.24,2.19,2.23,2.26,2.24,2.2,2.24,2.25,2.23 | +| radiator | 62.18,62.44,62.49,62.67,63.04,62.95,63.16,63.12,63.46,63.33,63.48 | +| glass | 13.88,13.85,13.78,13.8,13.77,13.75,13.71,13.73,13.7,13.6,13.53 | +| clock | 36.92,36.88,36.7,36.67,36.55,36.75,36.75,36.36,36.28,36.34,36.26 | +| flag | 36.01,35.92,35.83,35.83,35.82,35.66,35.67,35.59,35.6,35.64,35.6 | ++---------------------+-------------------------------------------------------------------+ +2023-03-05 09:05:00,665 - mmseg - INFO - Summary: +2023-03-05 09:05:00,665 - mmseg - INFO - ++-----------------------------------------------------------------+ +| mIoU 0,10,20,30,40,50,60,70,80,90,99 | ++-----------------------------------------------------------------+ +| 48.84,48.91,48.96,49.0,49.07,49.1,49.12,49.14,49.15,49.15,49.17 | ++-----------------------------------------------------------------+ +2023-03-05 09:05:00,665 - mmseg - INFO - Exp name: ablation_segformer_mit_b2_segformer_head_unet_fc_small_multi_step_ade_pretrained_freeze_embed_160k_ade20k151_mask_finetune_maskreplace.py +2023-03-05 09:05:00,665 - mmseg - INFO - Iter(val) [250] mIoU: [0.4884, 0.4891, 0.4896, 0.49, 0.4907, 0.491, 0.4912, 0.4914, 0.4915, 0.4915, 0.4917], copy_paste: 48.84,48.91,48.96,49.0,49.07,49.1,49.12,49.14,49.15,49.15,49.17 +2023-03-05 09:05:00,673 - mmseg - INFO - Swap parameters (before train) before iter [128001] +2023-03-05 09:05:10,794 - mmseg - INFO - Iter [128050/160000] lr: 2.344e-06, eta: 2:08:27, time: 13.451, data_time: 13.256, memory: 52540, decode.loss_ce: 0.1801, decode.acc_seg: 92.5993, loss: 0.1801 +2023-03-05 09:05:23,032 - mmseg - INFO - Iter [128100/160000] lr: 2.344e-06, eta: 2:08:15, time: 0.245, data_time: 0.056, memory: 52540, decode.loss_ce: 0.1831, decode.acc_seg: 92.6266, loss: 0.1831 +2023-03-05 09:05:32,976 - mmseg - INFO - Iter [128150/160000] lr: 2.344e-06, eta: 2:08:03, time: 0.199, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1875, decode.acc_seg: 92.3901, loss: 0.1875 +2023-03-05 09:05:42,712 - mmseg - INFO - Iter [128200/160000] lr: 2.344e-06, eta: 2:07:50, time: 0.195, data_time: 0.008, memory: 52540, decode.loss_ce: 0.1860, decode.acc_seg: 92.3002, loss: 0.1860 +2023-03-05 09:05:52,328 - mmseg - INFO - Iter [128250/160000] lr: 2.344e-06, eta: 2:07:37, time: 0.192, data_time: 0.008, memory: 52540, decode.loss_ce: 0.1844, decode.acc_seg: 92.5310, loss: 0.1844 +2023-03-05 09:06:01,947 - mmseg - INFO - Iter [128300/160000] lr: 2.344e-06, eta: 2:07:25, time: 0.192, data_time: 0.008, memory: 52540, decode.loss_ce: 0.1812, decode.acc_seg: 92.6479, loss: 0.1812 +2023-03-05 09:06:11,689 - mmseg - INFO - Iter [128350/160000] lr: 2.344e-06, eta: 2:07:12, time: 0.195, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1890, decode.acc_seg: 92.2693, loss: 0.1890 +2023-03-05 09:06:21,334 - mmseg - INFO - Iter [128400/160000] lr: 2.344e-06, eta: 2:06:59, time: 0.193, data_time: 0.008, memory: 52540, decode.loss_ce: 0.1772, decode.acc_seg: 92.7581, loss: 0.1772 +2023-03-05 09:06:30,939 - mmseg - INFO - Iter [128450/160000] lr: 2.344e-06, eta: 2:06:47, time: 0.192, data_time: 0.008, memory: 52540, decode.loss_ce: 0.1885, decode.acc_seg: 92.3083, loss: 0.1885 +2023-03-05 09:06:40,500 - mmseg - INFO - Iter [128500/160000] lr: 2.344e-06, eta: 2:06:34, time: 0.191, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1840, decode.acc_seg: 92.4297, loss: 0.1840 +2023-03-05 09:06:50,578 - mmseg - INFO - Iter [128550/160000] lr: 2.344e-06, eta: 2:06:22, time: 0.202, data_time: 0.008, memory: 52540, decode.loss_ce: 0.1883, decode.acc_seg: 92.3519, loss: 0.1883 +2023-03-05 09:07:00,134 - mmseg - INFO - Iter [128600/160000] lr: 2.344e-06, eta: 2:06:09, time: 0.191, data_time: 0.008, memory: 52540, decode.loss_ce: 0.1776, decode.acc_seg: 92.6378, loss: 0.1776 +2023-03-05 09:07:10,160 - mmseg - INFO - Iter [128650/160000] lr: 2.344e-06, eta: 2:05:56, time: 0.201, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1768, decode.acc_seg: 92.5810, loss: 0.1768 +2023-03-05 09:07:19,916 - mmseg - INFO - Iter [128700/160000] lr: 2.344e-06, eta: 2:05:44, time: 0.195, data_time: 0.008, memory: 52540, decode.loss_ce: 0.1901, decode.acc_seg: 92.1602, loss: 0.1901 +2023-03-05 09:07:32,292 - mmseg - INFO - Iter [128750/160000] lr: 2.344e-06, eta: 2:05:32, time: 0.248, data_time: 0.056, memory: 52540, decode.loss_ce: 0.1906, decode.acc_seg: 92.2744, loss: 0.1906 +2023-03-05 09:07:42,271 - mmseg - INFO - Iter [128800/160000] lr: 2.344e-06, eta: 2:05:19, time: 0.200, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1773, decode.acc_seg: 92.7693, loss: 0.1773 +2023-03-05 09:07:52,266 - mmseg - INFO - Iter [128850/160000] lr: 2.344e-06, eta: 2:05:07, time: 0.200, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1846, decode.acc_seg: 92.3372, loss: 0.1846 +2023-03-05 09:08:02,018 - mmseg - INFO - Iter [128900/160000] lr: 2.344e-06, eta: 2:04:54, time: 0.195, data_time: 0.008, memory: 52540, decode.loss_ce: 0.1820, decode.acc_seg: 92.5322, loss: 0.1820 +2023-03-05 09:08:11,544 - mmseg - INFO - Iter [128950/160000] lr: 2.344e-06, eta: 2:04:41, time: 0.191, data_time: 0.008, memory: 52540, decode.loss_ce: 0.1836, decode.acc_seg: 92.4855, loss: 0.1836 +2023-03-05 09:08:21,220 - mmseg - INFO - Exp name: ablation_segformer_mit_b2_segformer_head_unet_fc_small_multi_step_ade_pretrained_freeze_embed_160k_ade20k151_mask_finetune_maskreplace.py +2023-03-05 09:08:21,220 - mmseg - INFO - Iter [129000/160000] lr: 2.344e-06, eta: 2:04:29, time: 0.194, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1873, decode.acc_seg: 92.3309, loss: 0.1873 +2023-03-05 09:08:30,945 - mmseg - INFO - Iter [129050/160000] lr: 2.344e-06, eta: 2:04:16, time: 0.195, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1822, decode.acc_seg: 92.4444, loss: 0.1822 +2023-03-05 09:08:40,819 - mmseg - INFO - Iter [129100/160000] lr: 2.344e-06, eta: 2:04:04, time: 0.197, data_time: 0.008, memory: 52540, decode.loss_ce: 0.1832, decode.acc_seg: 92.3855, loss: 0.1832 +2023-03-05 09:08:50,680 - mmseg - INFO - Iter [129150/160000] lr: 2.344e-06, eta: 2:03:51, time: 0.197, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1862, decode.acc_seg: 92.4952, loss: 0.1862 +2023-03-05 09:09:00,319 - mmseg - INFO - Iter [129200/160000] lr: 2.344e-06, eta: 2:03:38, time: 0.193, data_time: 0.008, memory: 52540, decode.loss_ce: 0.1767, decode.acc_seg: 92.5910, loss: 0.1767 +2023-03-05 09:09:10,560 - mmseg - INFO - Iter [129250/160000] lr: 2.344e-06, eta: 2:03:26, time: 0.205, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1834, decode.acc_seg: 92.2343, loss: 0.1834 +2023-03-05 09:09:20,257 - mmseg - INFO - Iter [129300/160000] lr: 2.344e-06, eta: 2:03:13, time: 0.194, data_time: 0.008, memory: 52540, decode.loss_ce: 0.1800, decode.acc_seg: 92.6554, loss: 0.1800 +2023-03-05 09:09:29,891 - mmseg - INFO - Iter [129350/160000] lr: 2.344e-06, eta: 2:03:01, time: 0.193, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1817, decode.acc_seg: 92.5460, loss: 0.1817 +2023-03-05 09:09:42,231 - mmseg - INFO - Iter [129400/160000] lr: 2.344e-06, eta: 2:02:49, time: 0.247, data_time: 0.054, memory: 52540, decode.loss_ce: 0.1847, decode.acc_seg: 92.4904, loss: 0.1847 +2023-03-05 09:09:52,034 - mmseg - INFO - Iter [129450/160000] lr: 2.344e-06, eta: 2:02:36, time: 0.196, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1823, decode.acc_seg: 92.3885, loss: 0.1823 +2023-03-05 09:10:01,829 - mmseg - INFO - Iter [129500/160000] lr: 2.344e-06, eta: 2:02:24, time: 0.196, data_time: 0.008, memory: 52540, decode.loss_ce: 0.1822, decode.acc_seg: 92.5905, loss: 0.1822 +2023-03-05 09:10:11,449 - mmseg - INFO - Iter [129550/160000] lr: 2.344e-06, eta: 2:02:11, time: 0.192, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1794, decode.acc_seg: 92.5619, loss: 0.1794 +2023-03-05 09:10:21,574 - mmseg - INFO - Iter [129600/160000] lr: 2.344e-06, eta: 2:01:59, time: 0.202, data_time: 0.008, memory: 52540, decode.loss_ce: 0.1829, decode.acc_seg: 92.4547, loss: 0.1829 +2023-03-05 09:10:31,188 - mmseg - INFO - Iter [129650/160000] lr: 2.344e-06, eta: 2:01:46, time: 0.192, data_time: 0.008, memory: 52540, decode.loss_ce: 0.1835, decode.acc_seg: 92.4632, loss: 0.1835 +2023-03-05 09:10:40,793 - mmseg - INFO - Iter [129700/160000] lr: 2.344e-06, eta: 2:01:33, time: 0.192, data_time: 0.008, memory: 52540, decode.loss_ce: 0.1754, decode.acc_seg: 92.9963, loss: 0.1754 +2023-03-05 09:10:50,429 - mmseg - INFO - Iter [129750/160000] lr: 2.344e-06, eta: 2:01:21, time: 0.193, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1822, decode.acc_seg: 92.5056, loss: 0.1822 +2023-03-05 09:11:00,337 - mmseg - INFO - Iter [129800/160000] lr: 2.344e-06, eta: 2:01:08, time: 0.198, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1843, decode.acc_seg: 92.4831, loss: 0.1843 +2023-03-05 09:11:10,002 - mmseg - INFO - Iter [129850/160000] lr: 2.344e-06, eta: 2:00:56, time: 0.193, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1831, decode.acc_seg: 92.5784, loss: 0.1831 +2023-03-05 09:11:19,762 - mmseg - INFO - Iter [129900/160000] lr: 2.344e-06, eta: 2:00:43, time: 0.195, data_time: 0.008, memory: 52540, decode.loss_ce: 0.1790, decode.acc_seg: 92.6842, loss: 0.1790 +2023-03-05 09:11:29,699 - mmseg - INFO - Iter [129950/160000] lr: 2.344e-06, eta: 2:00:31, time: 0.199, data_time: 0.008, memory: 52540, decode.loss_ce: 0.1873, decode.acc_seg: 92.1052, loss: 0.1873 +2023-03-05 09:11:42,045 - mmseg - INFO - Exp name: ablation_segformer_mit_b2_segformer_head_unet_fc_small_multi_step_ade_pretrained_freeze_embed_160k_ade20k151_mask_finetune_maskreplace.py +2023-03-05 09:11:42,046 - mmseg - INFO - Iter [130000/160000] lr: 2.344e-06, eta: 2:00:19, time: 0.247, data_time: 0.055, memory: 52540, decode.loss_ce: 0.1869, decode.acc_seg: 92.3922, loss: 0.1869 +2023-03-05 09:11:52,059 - mmseg - INFO - Iter [130050/160000] lr: 2.344e-06, eta: 2:00:06, time: 0.201, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1797, decode.acc_seg: 92.6057, loss: 0.1797 +2023-03-05 09:12:01,910 - mmseg - INFO - Iter [130100/160000] lr: 2.344e-06, eta: 1:59:54, time: 0.197, data_time: 0.008, memory: 52540, decode.loss_ce: 0.1837, decode.acc_seg: 92.4401, loss: 0.1837 +2023-03-05 09:12:11,604 - mmseg - INFO - Iter [130150/160000] lr: 2.344e-06, eta: 1:59:41, time: 0.194, data_time: 0.008, memory: 52540, decode.loss_ce: 0.1888, decode.acc_seg: 92.4206, loss: 0.1888 +2023-03-05 09:12:21,166 - mmseg - INFO - Iter [130200/160000] lr: 2.344e-06, eta: 1:59:28, time: 0.191, data_time: 0.008, memory: 52540, decode.loss_ce: 0.1800, decode.acc_seg: 92.5409, loss: 0.1800 +2023-03-05 09:12:30,727 - mmseg - INFO - Iter [130250/160000] lr: 2.344e-06, eta: 1:59:16, time: 0.191, data_time: 0.008, memory: 52540, decode.loss_ce: 0.1828, decode.acc_seg: 92.5627, loss: 0.1828 +2023-03-05 09:12:40,384 - mmseg - INFO - Iter [130300/160000] lr: 2.344e-06, eta: 1:59:03, time: 0.193, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1794, decode.acc_seg: 92.6248, loss: 0.1794 +2023-03-05 09:12:49,952 - mmseg - INFO - Iter [130350/160000] lr: 2.344e-06, eta: 1:58:51, time: 0.191, data_time: 0.008, memory: 52540, decode.loss_ce: 0.1789, decode.acc_seg: 92.6200, loss: 0.1789 +2023-03-05 09:12:59,540 - mmseg - INFO - Iter [130400/160000] lr: 2.344e-06, eta: 1:58:38, time: 0.192, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1782, decode.acc_seg: 92.7419, loss: 0.1782 +2023-03-05 09:13:09,103 - mmseg - INFO - Iter [130450/160000] lr: 2.344e-06, eta: 1:58:25, time: 0.191, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1875, decode.acc_seg: 92.2154, loss: 0.1875 +2023-03-05 09:13:18,797 - mmseg - INFO - Iter [130500/160000] lr: 2.344e-06, eta: 1:58:13, time: 0.194, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1835, decode.acc_seg: 92.3921, loss: 0.1835 +2023-03-05 09:13:28,443 - mmseg - INFO - Iter [130550/160000] lr: 2.344e-06, eta: 1:58:00, time: 0.193, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1839, decode.acc_seg: 92.4669, loss: 0.1839 +2023-03-05 09:13:38,809 - mmseg - INFO - Iter [130600/160000] lr: 2.344e-06, eta: 1:57:48, time: 0.207, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1870, decode.acc_seg: 92.3642, loss: 0.1870 +2023-03-05 09:13:51,094 - mmseg - INFO - Iter [130650/160000] lr: 2.344e-06, eta: 1:57:36, time: 0.246, data_time: 0.055, memory: 52540, decode.loss_ce: 0.1847, decode.acc_seg: 92.5013, loss: 0.1847 +2023-03-05 09:14:01,218 - mmseg - INFO - Iter [130700/160000] lr: 2.344e-06, eta: 1:57:24, time: 0.202, data_time: 0.008, memory: 52540, decode.loss_ce: 0.1845, decode.acc_seg: 92.3916, loss: 0.1845 +2023-03-05 09:14:10,776 - mmseg - INFO - Iter [130750/160000] lr: 2.344e-06, eta: 1:57:11, time: 0.191, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1841, decode.acc_seg: 92.4548, loss: 0.1841 +2023-03-05 09:14:20,319 - mmseg - INFO - Iter [130800/160000] lr: 2.344e-06, eta: 1:56:58, time: 0.191, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1862, decode.acc_seg: 92.4114, loss: 0.1862 +2023-03-05 09:14:29,998 - mmseg - INFO - Iter [130850/160000] lr: 2.344e-06, eta: 1:56:46, time: 0.194, data_time: 0.008, memory: 52540, decode.loss_ce: 0.1939, decode.acc_seg: 92.1056, loss: 0.1939 +2023-03-05 09:14:39,592 - mmseg - INFO - Iter [130900/160000] lr: 2.344e-06, eta: 1:56:33, time: 0.192, data_time: 0.008, memory: 52540, decode.loss_ce: 0.1765, decode.acc_seg: 92.5124, loss: 0.1765 +2023-03-05 09:14:49,269 - mmseg - INFO - Iter [130950/160000] lr: 2.344e-06, eta: 1:56:21, time: 0.194, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1808, decode.acc_seg: 92.6220, loss: 0.1808 +2023-03-05 09:14:59,060 - mmseg - INFO - Exp name: ablation_segformer_mit_b2_segformer_head_unet_fc_small_multi_step_ade_pretrained_freeze_embed_160k_ade20k151_mask_finetune_maskreplace.py +2023-03-05 09:14:59,060 - mmseg - INFO - Iter [131000/160000] lr: 2.344e-06, eta: 1:56:08, time: 0.196, data_time: 0.008, memory: 52540, decode.loss_ce: 0.1859, decode.acc_seg: 92.3055, loss: 0.1859 +2023-03-05 09:15:08,800 - mmseg - INFO - Iter [131050/160000] lr: 2.344e-06, eta: 1:55:56, time: 0.195, data_time: 0.008, memory: 52540, decode.loss_ce: 0.1924, decode.acc_seg: 92.0853, loss: 0.1924 +2023-03-05 09:15:18,375 - mmseg - INFO - Iter [131100/160000] lr: 2.344e-06, eta: 1:55:43, time: 0.192, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1852, decode.acc_seg: 92.4134, loss: 0.1852 +2023-03-05 09:15:28,088 - mmseg - INFO - Iter [131150/160000] lr: 2.344e-06, eta: 1:55:31, time: 0.194, data_time: 0.008, memory: 52540, decode.loss_ce: 0.1920, decode.acc_seg: 92.0667, loss: 0.1920 +2023-03-05 09:15:37,889 - mmseg - INFO - Iter [131200/160000] lr: 2.344e-06, eta: 1:55:18, time: 0.196, data_time: 0.008, memory: 52540, decode.loss_ce: 0.1788, decode.acc_seg: 92.6861, loss: 0.1788 +2023-03-05 09:15:50,198 - mmseg - INFO - Iter [131250/160000] lr: 2.344e-06, eta: 1:55:06, time: 0.246, data_time: 0.055, memory: 52540, decode.loss_ce: 0.1839, decode.acc_seg: 92.5067, loss: 0.1839 +2023-03-05 09:16:00,053 - mmseg - INFO - Iter [131300/160000] lr: 2.344e-06, eta: 1:54:54, time: 0.197, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1768, decode.acc_seg: 92.7935, loss: 0.1768 +2023-03-05 09:16:09,789 - mmseg - INFO - Iter [131350/160000] lr: 2.344e-06, eta: 1:54:41, time: 0.194, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1784, decode.acc_seg: 92.5756, loss: 0.1784 +2023-03-05 09:16:19,645 - mmseg - INFO - Iter [131400/160000] lr: 2.344e-06, eta: 1:54:29, time: 0.197, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1822, decode.acc_seg: 92.4681, loss: 0.1822 +2023-03-05 09:16:29,383 - mmseg - INFO - Iter [131450/160000] lr: 2.344e-06, eta: 1:54:16, time: 0.194, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1864, decode.acc_seg: 92.3995, loss: 0.1864 +2023-03-05 09:16:40,016 - mmseg - INFO - Iter [131500/160000] lr: 2.344e-06, eta: 1:54:04, time: 0.213, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1883, decode.acc_seg: 92.3555, loss: 0.1883 +2023-03-05 09:16:49,783 - mmseg - INFO - Iter [131550/160000] lr: 2.344e-06, eta: 1:53:51, time: 0.196, data_time: 0.008, memory: 52540, decode.loss_ce: 0.1848, decode.acc_seg: 92.3844, loss: 0.1848 +2023-03-05 09:16:59,876 - mmseg - INFO - Iter [131600/160000] lr: 2.344e-06, eta: 1:53:39, time: 0.202, data_time: 0.008, memory: 52540, decode.loss_ce: 0.1846, decode.acc_seg: 92.4319, loss: 0.1846 +2023-03-05 09:17:09,580 - mmseg - INFO - Iter [131650/160000] lr: 2.344e-06, eta: 1:53:27, time: 0.194, data_time: 0.008, memory: 52540, decode.loss_ce: 0.1767, decode.acc_seg: 92.7271, loss: 0.1767 +2023-03-05 09:17:19,257 - mmseg - INFO - Iter [131700/160000] lr: 2.344e-06, eta: 1:53:14, time: 0.194, data_time: 0.008, memory: 52540, decode.loss_ce: 0.1843, decode.acc_seg: 92.4243, loss: 0.1843 +2023-03-05 09:17:29,015 - mmseg - INFO - Iter [131750/160000] lr: 2.344e-06, eta: 1:53:02, time: 0.195, data_time: 0.008, memory: 52540, decode.loss_ce: 0.1879, decode.acc_seg: 92.3050, loss: 0.1879 +2023-03-05 09:17:38,683 - mmseg - INFO - Iter [131800/160000] lr: 2.344e-06, eta: 1:52:49, time: 0.193, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1961, decode.acc_seg: 92.1629, loss: 0.1961 +2023-03-05 09:17:48,432 - mmseg - INFO - Iter [131850/160000] lr: 2.344e-06, eta: 1:52:37, time: 0.195, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1850, decode.acc_seg: 92.4271, loss: 0.1850 +2023-03-05 09:18:00,462 - mmseg - INFO - Iter [131900/160000] lr: 2.344e-06, eta: 1:52:25, time: 0.241, data_time: 0.056, memory: 52540, decode.loss_ce: 0.1842, decode.acc_seg: 92.3732, loss: 0.1842 +2023-03-05 09:18:10,130 - mmseg - INFO - Iter [131950/160000] lr: 2.344e-06, eta: 1:52:12, time: 0.193, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1772, decode.acc_seg: 92.6902, loss: 0.1772 +2023-03-05 09:18:20,039 - mmseg - INFO - Exp name: ablation_segformer_mit_b2_segformer_head_unet_fc_small_multi_step_ade_pretrained_freeze_embed_160k_ade20k151_mask_finetune_maskreplace.py +2023-03-05 09:18:20,040 - mmseg - INFO - Iter [132000/160000] lr: 2.344e-06, eta: 1:52:00, time: 0.198, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1720, decode.acc_seg: 92.8977, loss: 0.1720 +2023-03-05 09:18:29,943 - mmseg - INFO - Iter [132050/160000] lr: 2.344e-06, eta: 1:51:47, time: 0.198, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1791, decode.acc_seg: 92.6332, loss: 0.1791 +2023-03-05 09:18:39,533 - mmseg - INFO - Iter [132100/160000] lr: 2.344e-06, eta: 1:51:35, time: 0.192, data_time: 0.008, memory: 52540, decode.loss_ce: 0.1850, decode.acc_seg: 92.4429, loss: 0.1850 +2023-03-05 09:18:49,087 - mmseg - INFO - Iter [132150/160000] lr: 2.344e-06, eta: 1:51:22, time: 0.191, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1811, decode.acc_seg: 92.4014, loss: 0.1811 +2023-03-05 09:18:58,994 - mmseg - INFO - Iter [132200/160000] lr: 2.344e-06, eta: 1:51:10, time: 0.198, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1851, decode.acc_seg: 92.3196, loss: 0.1851 +2023-03-05 09:19:08,559 - mmseg - INFO - Iter [132250/160000] lr: 2.344e-06, eta: 1:50:57, time: 0.192, data_time: 0.008, memory: 52540, decode.loss_ce: 0.1869, decode.acc_seg: 92.4239, loss: 0.1869 +2023-03-05 09:19:18,372 - mmseg - INFO - Iter [132300/160000] lr: 2.344e-06, eta: 1:50:45, time: 0.196, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1889, decode.acc_seg: 92.2267, loss: 0.1889 +2023-03-05 09:19:28,123 - mmseg - INFO - Iter [132350/160000] lr: 2.344e-06, eta: 1:50:32, time: 0.195, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1743, decode.acc_seg: 92.7809, loss: 0.1743 +2023-03-05 09:19:38,126 - mmseg - INFO - Iter [132400/160000] lr: 2.344e-06, eta: 1:50:20, time: 0.200, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1774, decode.acc_seg: 92.7017, loss: 0.1774 +2023-03-05 09:19:48,069 - mmseg - INFO - Iter [132450/160000] lr: 2.344e-06, eta: 1:50:07, time: 0.199, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1797, decode.acc_seg: 92.5784, loss: 0.1797 +2023-03-05 09:19:57,612 - mmseg - INFO - Iter [132500/160000] lr: 2.344e-06, eta: 1:49:55, time: 0.191, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1793, decode.acc_seg: 92.6191, loss: 0.1793 +2023-03-05 09:20:09,749 - mmseg - INFO - Iter [132550/160000] lr: 2.344e-06, eta: 1:49:43, time: 0.243, data_time: 0.057, memory: 52540, decode.loss_ce: 0.1843, decode.acc_seg: 92.4035, loss: 0.1843 +2023-03-05 09:20:19,406 - mmseg - INFO - Iter [132600/160000] lr: 2.344e-06, eta: 1:49:31, time: 0.193, data_time: 0.008, memory: 52540, decode.loss_ce: 0.1835, decode.acc_seg: 92.5310, loss: 0.1835 +2023-03-05 09:20:29,189 - mmseg - INFO - Iter [132650/160000] lr: 2.344e-06, eta: 1:49:18, time: 0.196, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1877, decode.acc_seg: 92.3020, loss: 0.1877 +2023-03-05 09:20:38,855 - mmseg - INFO - Iter [132700/160000] lr: 2.344e-06, eta: 1:49:06, time: 0.193, data_time: 0.008, memory: 52540, decode.loss_ce: 0.1773, decode.acc_seg: 92.7012, loss: 0.1773 +2023-03-05 09:20:48,490 - mmseg - INFO - Iter [132750/160000] lr: 2.344e-06, eta: 1:48:53, time: 0.193, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1848, decode.acc_seg: 92.4373, loss: 0.1848 +2023-03-05 09:20:58,107 - mmseg - INFO - Iter [132800/160000] lr: 2.344e-06, eta: 1:48:41, time: 0.192, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1884, decode.acc_seg: 92.3867, loss: 0.1884 +2023-03-05 09:21:07,845 - mmseg - INFO - Iter [132850/160000] lr: 2.344e-06, eta: 1:48:28, time: 0.195, data_time: 0.008, memory: 52540, decode.loss_ce: 0.1847, decode.acc_seg: 92.4455, loss: 0.1847 +2023-03-05 09:21:17,659 - mmseg - INFO - Iter [132900/160000] lr: 2.344e-06, eta: 1:48:16, time: 0.196, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1784, decode.acc_seg: 92.5657, loss: 0.1784 +2023-03-05 09:21:27,418 - mmseg - INFO - Iter [132950/160000] lr: 2.344e-06, eta: 1:48:03, time: 0.195, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1887, decode.acc_seg: 92.4472, loss: 0.1887 +2023-03-05 09:21:37,088 - mmseg - INFO - Exp name: ablation_segformer_mit_b2_segformer_head_unet_fc_small_multi_step_ade_pretrained_freeze_embed_160k_ade20k151_mask_finetune_maskreplace.py +2023-03-05 09:21:37,088 - mmseg - INFO - Iter [133000/160000] lr: 2.344e-06, eta: 1:47:51, time: 0.194, data_time: 0.008, memory: 52540, decode.loss_ce: 0.1820, decode.acc_seg: 92.5126, loss: 0.1820 +2023-03-05 09:21:46,799 - mmseg - INFO - Iter [133050/160000] lr: 2.344e-06, eta: 1:47:38, time: 0.194, data_time: 0.008, memory: 52540, decode.loss_ce: 0.1741, decode.acc_seg: 92.7236, loss: 0.1741 +2023-03-05 09:21:56,315 - mmseg - INFO - Iter [133100/160000] lr: 2.344e-06, eta: 1:47:26, time: 0.190, data_time: 0.008, memory: 52540, decode.loss_ce: 0.1882, decode.acc_seg: 92.3034, loss: 0.1882 +2023-03-05 09:22:08,441 - mmseg - INFO - Iter [133150/160000] lr: 2.344e-06, eta: 1:47:14, time: 0.242, data_time: 0.059, memory: 52540, decode.loss_ce: 0.1838, decode.acc_seg: 92.3688, loss: 0.1838 +2023-03-05 09:22:18,081 - mmseg - INFO - Iter [133200/160000] lr: 2.344e-06, eta: 1:47:02, time: 0.193, data_time: 0.008, memory: 52540, decode.loss_ce: 0.1778, decode.acc_seg: 92.5842, loss: 0.1778 +2023-03-05 09:22:27,679 - mmseg - INFO - Iter [133250/160000] lr: 2.344e-06, eta: 1:46:49, time: 0.192, data_time: 0.008, memory: 52540, decode.loss_ce: 0.1822, decode.acc_seg: 92.5709, loss: 0.1822 +2023-03-05 09:22:37,335 - mmseg - INFO - Iter [133300/160000] lr: 2.344e-06, eta: 1:46:37, time: 0.193, data_time: 0.008, memory: 52540, decode.loss_ce: 0.1805, decode.acc_seg: 92.4510, loss: 0.1805 +2023-03-05 09:22:47,013 - mmseg - INFO - Iter [133350/160000] lr: 2.344e-06, eta: 1:46:24, time: 0.194, data_time: 0.008, memory: 52540, decode.loss_ce: 0.1846, decode.acc_seg: 92.4299, loss: 0.1846 +2023-03-05 09:22:56,548 - mmseg - INFO - Iter [133400/160000] lr: 2.344e-06, eta: 1:46:12, time: 0.191, data_time: 0.008, memory: 52540, decode.loss_ce: 0.1829, decode.acc_seg: 92.4446, loss: 0.1829 +2023-03-05 09:23:06,342 - mmseg - INFO - Iter [133450/160000] lr: 2.344e-06, eta: 1:45:59, time: 0.196, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1840, decode.acc_seg: 92.4632, loss: 0.1840 +2023-03-05 09:23:16,511 - mmseg - INFO - Iter [133500/160000] lr: 2.344e-06, eta: 1:45:47, time: 0.203, data_time: 0.008, memory: 52540, decode.loss_ce: 0.1828, decode.acc_seg: 92.3880, loss: 0.1828 +2023-03-05 09:23:26,064 - mmseg - INFO - Iter [133550/160000] lr: 2.344e-06, eta: 1:45:35, time: 0.191, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1776, decode.acc_seg: 92.6991, loss: 0.1776 +2023-03-05 09:23:35,874 - mmseg - INFO - Iter [133600/160000] lr: 2.344e-06, eta: 1:45:22, time: 0.196, data_time: 0.008, memory: 52540, decode.loss_ce: 0.1868, decode.acc_seg: 92.4601, loss: 0.1868 +2023-03-05 09:23:45,432 - mmseg - INFO - Iter [133650/160000] lr: 2.344e-06, eta: 1:45:10, time: 0.191, data_time: 0.008, memory: 52540, decode.loss_ce: 0.1859, decode.acc_seg: 92.3792, loss: 0.1859 +2023-03-05 09:23:54,986 - mmseg - INFO - Iter [133700/160000] lr: 2.344e-06, eta: 1:44:57, time: 0.191, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1805, decode.acc_seg: 92.4637, loss: 0.1805 +2023-03-05 09:24:05,135 - mmseg - INFO - Iter [133750/160000] lr: 2.344e-06, eta: 1:44:45, time: 0.203, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1771, decode.acc_seg: 92.6340, loss: 0.1771 +2023-03-05 09:24:17,388 - mmseg - INFO - Iter [133800/160000] lr: 2.344e-06, eta: 1:44:33, time: 0.245, data_time: 0.055, memory: 52540, decode.loss_ce: 0.1870, decode.acc_seg: 92.3653, loss: 0.1870 +2023-03-05 09:24:26,975 - mmseg - INFO - Iter [133850/160000] lr: 2.344e-06, eta: 1:44:21, time: 0.192, data_time: 0.008, memory: 52540, decode.loss_ce: 0.1827, decode.acc_seg: 92.5149, loss: 0.1827 +2023-03-05 09:24:37,054 - mmseg - INFO - Iter [133900/160000] lr: 2.344e-06, eta: 1:44:08, time: 0.202, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1801, decode.acc_seg: 92.4134, loss: 0.1801 +2023-03-05 09:24:46,789 - mmseg - INFO - Iter [133950/160000] lr: 2.344e-06, eta: 1:43:56, time: 0.195, data_time: 0.008, memory: 52540, decode.loss_ce: 0.1765, decode.acc_seg: 92.6908, loss: 0.1765 +2023-03-05 09:24:56,702 - mmseg - INFO - Exp name: ablation_segformer_mit_b2_segformer_head_unet_fc_small_multi_step_ade_pretrained_freeze_embed_160k_ade20k151_mask_finetune_maskreplace.py +2023-03-05 09:24:56,702 - mmseg - INFO - Iter [134000/160000] lr: 2.344e-06, eta: 1:43:43, time: 0.198, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1863, decode.acc_seg: 92.3613, loss: 0.1863 +2023-03-05 09:25:06,697 - mmseg - INFO - Iter [134050/160000] lr: 2.344e-06, eta: 1:43:31, time: 0.200, data_time: 0.008, memory: 52540, decode.loss_ce: 0.1844, decode.acc_seg: 92.4091, loss: 0.1844 +2023-03-05 09:25:16,447 - mmseg - INFO - Iter [134100/160000] lr: 2.344e-06, eta: 1:43:19, time: 0.195, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1767, decode.acc_seg: 92.7282, loss: 0.1767 +2023-03-05 09:25:26,014 - mmseg - INFO - Iter [134150/160000] lr: 2.344e-06, eta: 1:43:06, time: 0.191, data_time: 0.008, memory: 52540, decode.loss_ce: 0.1831, decode.acc_seg: 92.4330, loss: 0.1831 +2023-03-05 09:25:35,709 - mmseg - INFO - Iter [134200/160000] lr: 2.344e-06, eta: 1:42:54, time: 0.194, data_time: 0.008, memory: 52540, decode.loss_ce: 0.1889, decode.acc_seg: 92.2160, loss: 0.1889 +2023-03-05 09:25:45,520 - mmseg - INFO - Iter [134250/160000] lr: 2.344e-06, eta: 1:42:41, time: 0.196, data_time: 0.008, memory: 52540, decode.loss_ce: 0.1821, decode.acc_seg: 92.4483, loss: 0.1821 +2023-03-05 09:25:55,576 - mmseg - INFO - Iter [134300/160000] lr: 2.344e-06, eta: 1:42:29, time: 0.201, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1990, decode.acc_seg: 92.1486, loss: 0.1990 +2023-03-05 09:26:05,420 - mmseg - INFO - Iter [134350/160000] lr: 2.344e-06, eta: 1:42:17, time: 0.197, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1828, decode.acc_seg: 92.4741, loss: 0.1828 +2023-03-05 09:26:15,351 - mmseg - INFO - Iter [134400/160000] lr: 2.344e-06, eta: 1:42:04, time: 0.199, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1843, decode.acc_seg: 92.4898, loss: 0.1843 +2023-03-05 09:26:27,563 - mmseg - INFO - Iter [134450/160000] lr: 2.344e-06, eta: 1:41:53, time: 0.244, data_time: 0.056, memory: 52540, decode.loss_ce: 0.1862, decode.acc_seg: 92.2520, loss: 0.1862 +2023-03-05 09:26:37,396 - mmseg - INFO - Iter [134500/160000] lr: 2.344e-06, eta: 1:41:40, time: 0.196, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1893, decode.acc_seg: 92.1954, loss: 0.1893 +2023-03-05 09:26:47,229 - mmseg - INFO - Iter [134550/160000] lr: 2.344e-06, eta: 1:41:28, time: 0.197, data_time: 0.008, memory: 52540, decode.loss_ce: 0.1836, decode.acc_seg: 92.5520, loss: 0.1836 +2023-03-05 09:26:56,918 - mmseg - INFO - Iter [134600/160000] lr: 2.344e-06, eta: 1:41:15, time: 0.193, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1823, decode.acc_seg: 92.5052, loss: 0.1823 +2023-03-05 09:27:06,676 - mmseg - INFO - Iter [134650/160000] lr: 2.344e-06, eta: 1:41:03, time: 0.195, data_time: 0.008, memory: 52540, decode.loss_ce: 0.1816, decode.acc_seg: 92.5880, loss: 0.1816 +2023-03-05 09:27:16,464 - mmseg - INFO - Iter [134700/160000] lr: 2.344e-06, eta: 1:40:51, time: 0.196, data_time: 0.008, memory: 52540, decode.loss_ce: 0.1793, decode.acc_seg: 92.6248, loss: 0.1793 +2023-03-05 09:27:26,231 - mmseg - INFO - Iter [134750/160000] lr: 2.344e-06, eta: 1:40:38, time: 0.195, data_time: 0.008, memory: 52540, decode.loss_ce: 0.1798, decode.acc_seg: 92.6340, loss: 0.1798 +2023-03-05 09:27:36,179 - mmseg - INFO - Iter [134800/160000] lr: 2.344e-06, eta: 1:40:26, time: 0.199, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1831, decode.acc_seg: 92.4699, loss: 0.1831 +2023-03-05 09:27:45,711 - mmseg - INFO - Iter [134850/160000] lr: 2.344e-06, eta: 1:40:14, time: 0.191, data_time: 0.008, memory: 52540, decode.loss_ce: 0.1877, decode.acc_seg: 92.3506, loss: 0.1877 +2023-03-05 09:27:55,641 - mmseg - INFO - Iter [134900/160000] lr: 2.344e-06, eta: 1:40:01, time: 0.199, data_time: 0.008, memory: 52540, decode.loss_ce: 0.1909, decode.acc_seg: 92.3549, loss: 0.1909 +2023-03-05 09:28:05,246 - mmseg - INFO - Iter [134950/160000] lr: 2.344e-06, eta: 1:39:49, time: 0.192, data_time: 0.008, memory: 52540, decode.loss_ce: 0.1838, decode.acc_seg: 92.3907, loss: 0.1838 +2023-03-05 09:28:15,149 - mmseg - INFO - Exp name: ablation_segformer_mit_b2_segformer_head_unet_fc_small_multi_step_ade_pretrained_freeze_embed_160k_ade20k151_mask_finetune_maskreplace.py +2023-03-05 09:28:15,150 - mmseg - INFO - Iter [135000/160000] lr: 2.344e-06, eta: 1:39:36, time: 0.198, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1829, decode.acc_seg: 92.6211, loss: 0.1829 +2023-03-05 09:28:27,220 - mmseg - INFO - Iter [135050/160000] lr: 2.344e-06, eta: 1:39:25, time: 0.241, data_time: 0.056, memory: 52540, decode.loss_ce: 0.1929, decode.acc_seg: 92.1707, loss: 0.1929 +2023-03-05 09:28:36,835 - mmseg - INFO - Iter [135100/160000] lr: 2.344e-06, eta: 1:39:12, time: 0.192, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1811, decode.acc_seg: 92.4266, loss: 0.1811 +2023-03-05 09:28:46,442 - mmseg - INFO - Iter [135150/160000] lr: 2.344e-06, eta: 1:39:00, time: 0.192, data_time: 0.008, memory: 52540, decode.loss_ce: 0.1788, decode.acc_seg: 92.5362, loss: 0.1788 +2023-03-05 09:28:56,127 - mmseg - INFO - Iter [135200/160000] lr: 2.344e-06, eta: 1:38:47, time: 0.194, data_time: 0.008, memory: 52540, decode.loss_ce: 0.1799, decode.acc_seg: 92.7226, loss: 0.1799 +2023-03-05 09:29:06,152 - mmseg - INFO - Iter [135250/160000] lr: 2.344e-06, eta: 1:38:35, time: 0.200, data_time: 0.008, memory: 52540, decode.loss_ce: 0.1737, decode.acc_seg: 92.7024, loss: 0.1737 +2023-03-05 09:29:15,979 - mmseg - INFO - Iter [135300/160000] lr: 2.344e-06, eta: 1:38:23, time: 0.196, data_time: 0.008, memory: 52540, decode.loss_ce: 0.1779, decode.acc_seg: 92.6610, loss: 0.1779 +2023-03-05 09:29:25,632 - mmseg - INFO - Iter [135350/160000] lr: 2.344e-06, eta: 1:38:10, time: 0.193, data_time: 0.008, memory: 52540, decode.loss_ce: 0.1860, decode.acc_seg: 92.3691, loss: 0.1860 +2023-03-05 09:29:35,130 - mmseg - INFO - Iter [135400/160000] lr: 2.344e-06, eta: 1:37:58, time: 0.190, data_time: 0.008, memory: 52540, decode.loss_ce: 0.1791, decode.acc_seg: 92.6375, loss: 0.1791 +2023-03-05 09:29:44,855 - mmseg - INFO - Iter [135450/160000] lr: 2.344e-06, eta: 1:37:46, time: 0.194, data_time: 0.008, memory: 52540, decode.loss_ce: 0.1911, decode.acc_seg: 92.0983, loss: 0.1911 +2023-03-05 09:29:54,412 - mmseg - INFO - Iter [135500/160000] lr: 2.344e-06, eta: 1:37:33, time: 0.191, data_time: 0.008, memory: 52540, decode.loss_ce: 0.1821, decode.acc_seg: 92.5158, loss: 0.1821 +2023-03-05 09:30:03,966 - mmseg - INFO - Iter [135550/160000] lr: 2.344e-06, eta: 1:37:21, time: 0.191, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1830, decode.acc_seg: 92.5333, loss: 0.1830 +2023-03-05 09:30:14,052 - mmseg - INFO - Iter [135600/160000] lr: 2.344e-06, eta: 1:37:09, time: 0.201, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1745, decode.acc_seg: 92.7743, loss: 0.1745 +2023-03-05 09:30:24,015 - mmseg - INFO - Iter [135650/160000] lr: 2.344e-06, eta: 1:36:56, time: 0.199, data_time: 0.008, memory: 52540, decode.loss_ce: 0.1853, decode.acc_seg: 92.4732, loss: 0.1853 +2023-03-05 09:30:36,107 - mmseg - INFO - Iter [135700/160000] lr: 2.344e-06, eta: 1:36:44, time: 0.242, data_time: 0.056, memory: 52540, decode.loss_ce: 0.1836, decode.acc_seg: 92.3614, loss: 0.1836 +2023-03-05 09:30:45,942 - mmseg - INFO - Iter [135750/160000] lr: 2.344e-06, eta: 1:36:32, time: 0.197, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1846, decode.acc_seg: 92.3218, loss: 0.1846 +2023-03-05 09:30:55,627 - mmseg - INFO - Iter [135800/160000] lr: 2.344e-06, eta: 1:36:20, time: 0.194, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1804, decode.acc_seg: 92.5172, loss: 0.1804 +2023-03-05 09:31:05,177 - mmseg - INFO - Iter [135850/160000] lr: 2.344e-06, eta: 1:36:07, time: 0.191, data_time: 0.008, memory: 52540, decode.loss_ce: 0.1770, decode.acc_seg: 92.6196, loss: 0.1770 +2023-03-05 09:31:14,956 - mmseg - INFO - Iter [135900/160000] lr: 2.344e-06, eta: 1:35:55, time: 0.196, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1836, decode.acc_seg: 92.4801, loss: 0.1836 +2023-03-05 09:31:24,719 - mmseg - INFO - Iter [135950/160000] lr: 2.344e-06, eta: 1:35:43, time: 0.195, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1905, decode.acc_seg: 92.2626, loss: 0.1905 +2023-03-05 09:31:34,463 - mmseg - INFO - Exp name: ablation_segformer_mit_b2_segformer_head_unet_fc_small_multi_step_ade_pretrained_freeze_embed_160k_ade20k151_mask_finetune_maskreplace.py +2023-03-05 09:31:34,463 - mmseg - INFO - Iter [136000/160000] lr: 2.344e-06, eta: 1:35:30, time: 0.195, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1793, decode.acc_seg: 92.6594, loss: 0.1793 +2023-03-05 09:31:44,129 - mmseg - INFO - Iter [136050/160000] lr: 2.344e-06, eta: 1:35:18, time: 0.193, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1852, decode.acc_seg: 92.4763, loss: 0.1852 +2023-03-05 09:31:53,705 - mmseg - INFO - Iter [136100/160000] lr: 2.344e-06, eta: 1:35:06, time: 0.191, data_time: 0.008, memory: 52540, decode.loss_ce: 0.1833, decode.acc_seg: 92.3204, loss: 0.1833 +2023-03-05 09:32:03,396 - mmseg - INFO - Iter [136150/160000] lr: 2.344e-06, eta: 1:34:53, time: 0.194, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1829, decode.acc_seg: 92.4445, loss: 0.1829 +2023-03-05 09:32:13,023 - mmseg - INFO - Iter [136200/160000] lr: 2.344e-06, eta: 1:34:41, time: 0.193, data_time: 0.008, memory: 52540, decode.loss_ce: 0.1839, decode.acc_seg: 92.4186, loss: 0.1839 +2023-03-05 09:32:22,606 - mmseg - INFO - Iter [136250/160000] lr: 2.344e-06, eta: 1:34:29, time: 0.192, data_time: 0.008, memory: 52540, decode.loss_ce: 0.1748, decode.acc_seg: 92.7146, loss: 0.1748 +2023-03-05 09:32:34,785 - mmseg - INFO - Iter [136300/160000] lr: 2.344e-06, eta: 1:34:17, time: 0.243, data_time: 0.055, memory: 52540, decode.loss_ce: 0.1848, decode.acc_seg: 92.3483, loss: 0.1848 +2023-03-05 09:32:44,694 - mmseg - INFO - Iter [136350/160000] lr: 2.344e-06, eta: 1:34:04, time: 0.198, data_time: 0.008, memory: 52540, decode.loss_ce: 0.1838, decode.acc_seg: 92.4675, loss: 0.1838 +2023-03-05 09:32:54,355 - mmseg - INFO - Iter [136400/160000] lr: 2.344e-06, eta: 1:33:52, time: 0.193, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1705, decode.acc_seg: 92.8266, loss: 0.1705 +2023-03-05 09:33:03,874 - mmseg - INFO - Iter [136450/160000] lr: 2.344e-06, eta: 1:33:40, time: 0.190, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1814, decode.acc_seg: 92.5709, loss: 0.1814 +2023-03-05 09:33:13,720 - mmseg - INFO - Iter [136500/160000] lr: 2.344e-06, eta: 1:33:28, time: 0.197, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1811, decode.acc_seg: 92.5486, loss: 0.1811 +2023-03-05 09:33:23,256 - mmseg - INFO - Iter [136550/160000] lr: 2.344e-06, eta: 1:33:15, time: 0.191, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1827, decode.acc_seg: 92.3433, loss: 0.1827 +2023-03-05 09:33:32,908 - mmseg - INFO - Iter [136600/160000] lr: 2.344e-06, eta: 1:33:03, time: 0.193, data_time: 0.008, memory: 52540, decode.loss_ce: 0.1838, decode.acc_seg: 92.4022, loss: 0.1838 +2023-03-05 09:33:42,737 - mmseg - INFO - Iter [136650/160000] lr: 2.344e-06, eta: 1:32:51, time: 0.197, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1856, decode.acc_seg: 92.4624, loss: 0.1856 +2023-03-05 09:33:52,309 - mmseg - INFO - Iter [136700/160000] lr: 2.344e-06, eta: 1:32:38, time: 0.191, data_time: 0.008, memory: 52540, decode.loss_ce: 0.1816, decode.acc_seg: 92.6667, loss: 0.1816 +2023-03-05 09:34:01,874 - mmseg - INFO - Iter [136750/160000] lr: 2.344e-06, eta: 1:32:26, time: 0.191, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1829, decode.acc_seg: 92.5884, loss: 0.1829 +2023-03-05 09:34:11,725 - mmseg - INFO - Iter [136800/160000] lr: 2.344e-06, eta: 1:32:14, time: 0.197, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1835, decode.acc_seg: 92.4744, loss: 0.1835 +2023-03-05 09:34:21,309 - mmseg - INFO - Iter [136850/160000] lr: 2.344e-06, eta: 1:32:01, time: 0.192, data_time: 0.008, memory: 52540, decode.loss_ce: 0.1786, decode.acc_seg: 92.6409, loss: 0.1786 +2023-03-05 09:34:31,437 - mmseg - INFO - Iter [136900/160000] lr: 2.344e-06, eta: 1:31:49, time: 0.202, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1809, decode.acc_seg: 92.5950, loss: 0.1809 +2023-03-05 09:34:43,923 - mmseg - INFO - Iter [136950/160000] lr: 2.344e-06, eta: 1:31:37, time: 0.250, data_time: 0.056, memory: 52540, decode.loss_ce: 0.1819, decode.acc_seg: 92.4926, loss: 0.1819 +2023-03-05 09:34:53,857 - mmseg - INFO - Exp name: ablation_segformer_mit_b2_segformer_head_unet_fc_small_multi_step_ade_pretrained_freeze_embed_160k_ade20k151_mask_finetune_maskreplace.py +2023-03-05 09:34:53,857 - mmseg - INFO - Iter [137000/160000] lr: 2.344e-06, eta: 1:31:25, time: 0.199, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1835, decode.acc_seg: 92.4804, loss: 0.1835 +2023-03-05 09:35:03,403 - mmseg - INFO - Iter [137050/160000] lr: 2.344e-06, eta: 1:31:13, time: 0.191, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1789, decode.acc_seg: 92.6170, loss: 0.1789 +2023-03-05 09:35:13,152 - mmseg - INFO - Iter [137100/160000] lr: 2.344e-06, eta: 1:31:00, time: 0.195, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1767, decode.acc_seg: 92.7560, loss: 0.1767 +2023-03-05 09:35:22,953 - mmseg - INFO - Iter [137150/160000] lr: 2.344e-06, eta: 1:30:48, time: 0.196, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1860, decode.acc_seg: 92.2846, loss: 0.1860 +2023-03-05 09:35:32,872 - mmseg - INFO - Iter [137200/160000] lr: 2.344e-06, eta: 1:30:36, time: 0.198, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1807, decode.acc_seg: 92.5457, loss: 0.1807 +2023-03-05 09:35:42,587 - mmseg - INFO - Iter [137250/160000] lr: 2.344e-06, eta: 1:30:24, time: 0.194, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1889, decode.acc_seg: 92.2596, loss: 0.1889 +2023-03-05 09:35:52,440 - mmseg - INFO - Iter [137300/160000] lr: 2.344e-06, eta: 1:30:11, time: 0.197, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1829, decode.acc_seg: 92.5508, loss: 0.1829 +2023-03-05 09:36:02,351 - mmseg - INFO - Iter [137350/160000] lr: 2.344e-06, eta: 1:29:59, time: 0.198, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1813, decode.acc_seg: 92.5966, loss: 0.1813 +2023-03-05 09:36:12,182 - mmseg - INFO - Iter [137400/160000] lr: 2.344e-06, eta: 1:29:47, time: 0.197, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1759, decode.acc_seg: 92.7666, loss: 0.1759 +2023-03-05 09:36:21,801 - mmseg - INFO - Iter [137450/160000] lr: 2.344e-06, eta: 1:29:34, time: 0.192, data_time: 0.008, memory: 52540, decode.loss_ce: 0.1819, decode.acc_seg: 92.5179, loss: 0.1819 +2023-03-05 09:36:31,429 - mmseg - INFO - Iter [137500/160000] lr: 2.344e-06, eta: 1:29:22, time: 0.193, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1867, decode.acc_seg: 92.2392, loss: 0.1867 +2023-03-05 09:36:41,343 - mmseg - INFO - Iter [137550/160000] lr: 2.344e-06, eta: 1:29:10, time: 0.198, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1914, decode.acc_seg: 92.2731, loss: 0.1914 +2023-03-05 09:36:53,693 - mmseg - INFO - Iter [137600/160000] lr: 2.344e-06, eta: 1:28:58, time: 0.247, data_time: 0.056, memory: 52540, decode.loss_ce: 0.1897, decode.acc_seg: 92.2255, loss: 0.1897 +2023-03-05 09:37:03,633 - mmseg - INFO - Iter [137650/160000] lr: 2.344e-06, eta: 1:28:46, time: 0.199, data_time: 0.008, memory: 52540, decode.loss_ce: 0.1792, decode.acc_seg: 92.6635, loss: 0.1792 +2023-03-05 09:37:14,141 - mmseg - INFO - Iter [137700/160000] lr: 2.344e-06, eta: 1:28:34, time: 0.210, data_time: 0.008, memory: 52540, decode.loss_ce: 0.1772, decode.acc_seg: 92.6076, loss: 0.1772 +2023-03-05 09:37:24,151 - mmseg - INFO - Iter [137750/160000] lr: 2.344e-06, eta: 1:28:21, time: 0.200, data_time: 0.008, memory: 52540, decode.loss_ce: 0.1826, decode.acc_seg: 92.5111, loss: 0.1826 +2023-03-05 09:37:34,061 - mmseg - INFO - Iter [137800/160000] lr: 2.344e-06, eta: 1:28:09, time: 0.198, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1814, decode.acc_seg: 92.5617, loss: 0.1814 +2023-03-05 09:37:43,779 - mmseg - INFO - Iter [137850/160000] lr: 2.344e-06, eta: 1:27:57, time: 0.194, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1867, decode.acc_seg: 92.2986, loss: 0.1867 +2023-03-05 09:37:53,646 - mmseg - INFO - Iter [137900/160000] lr: 2.344e-06, eta: 1:27:45, time: 0.197, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1775, decode.acc_seg: 92.7072, loss: 0.1775 +2023-03-05 09:38:03,517 - mmseg - INFO - Iter [137950/160000] lr: 2.344e-06, eta: 1:27:32, time: 0.198, data_time: 0.008, memory: 52540, decode.loss_ce: 0.1779, decode.acc_seg: 92.6728, loss: 0.1779 +2023-03-05 09:38:13,141 - mmseg - INFO - Exp name: ablation_segformer_mit_b2_segformer_head_unet_fc_small_multi_step_ade_pretrained_freeze_embed_160k_ade20k151_mask_finetune_maskreplace.py +2023-03-05 09:38:13,141 - mmseg - INFO - Iter [138000/160000] lr: 2.344e-06, eta: 1:27:20, time: 0.192, data_time: 0.008, memory: 52540, decode.loss_ce: 0.1818, decode.acc_seg: 92.4087, loss: 0.1818 +2023-03-05 09:38:23,250 - mmseg - INFO - Iter [138050/160000] lr: 2.344e-06, eta: 1:27:08, time: 0.202, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1798, decode.acc_seg: 92.5896, loss: 0.1798 +2023-03-05 09:38:33,114 - mmseg - INFO - Iter [138100/160000] lr: 2.344e-06, eta: 1:26:56, time: 0.197, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1829, decode.acc_seg: 92.4356, loss: 0.1829 +2023-03-05 09:38:42,739 - mmseg - INFO - Iter [138150/160000] lr: 2.344e-06, eta: 1:26:44, time: 0.193, data_time: 0.008, memory: 52540, decode.loss_ce: 0.1870, decode.acc_seg: 92.2486, loss: 0.1870 +2023-03-05 09:38:55,363 - mmseg - INFO - Iter [138200/160000] lr: 2.344e-06, eta: 1:26:32, time: 0.252, data_time: 0.056, memory: 52540, decode.loss_ce: 0.1788, decode.acc_seg: 92.7259, loss: 0.1788 +2023-03-05 09:39:04,998 - mmseg - INFO - Iter [138250/160000] lr: 2.344e-06, eta: 1:26:19, time: 0.193, data_time: 0.008, memory: 52540, decode.loss_ce: 0.1828, decode.acc_seg: 92.5658, loss: 0.1828 +2023-03-05 09:39:14,801 - mmseg - INFO - Iter [138300/160000] lr: 2.344e-06, eta: 1:26:07, time: 0.196, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1783, decode.acc_seg: 92.6656, loss: 0.1783 +2023-03-05 09:39:24,651 - mmseg - INFO - Iter [138350/160000] lr: 2.344e-06, eta: 1:25:55, time: 0.197, data_time: 0.008, memory: 52540, decode.loss_ce: 0.1780, decode.acc_seg: 92.5805, loss: 0.1780 +2023-03-05 09:39:34,773 - mmseg - INFO - Iter [138400/160000] lr: 2.344e-06, eta: 1:25:43, time: 0.202, data_time: 0.008, memory: 52540, decode.loss_ce: 0.1901, decode.acc_seg: 92.1672, loss: 0.1901 +2023-03-05 09:39:44,338 - mmseg - INFO - Iter [138450/160000] lr: 2.344e-06, eta: 1:25:31, time: 0.191, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1846, decode.acc_seg: 92.4512, loss: 0.1846 +2023-03-05 09:39:54,126 - mmseg - INFO - Iter [138500/160000] lr: 2.344e-06, eta: 1:25:18, time: 0.195, data_time: 0.008, memory: 52540, decode.loss_ce: 0.1795, decode.acc_seg: 92.7121, loss: 0.1795 +2023-03-05 09:40:03,780 - mmseg - INFO - Iter [138550/160000] lr: 2.344e-06, eta: 1:25:06, time: 0.193, data_time: 0.008, memory: 52540, decode.loss_ce: 0.1853, decode.acc_seg: 92.4187, loss: 0.1853 +2023-03-05 09:40:13,439 - mmseg - INFO - Iter [138600/160000] lr: 2.344e-06, eta: 1:24:54, time: 0.193, data_time: 0.008, memory: 52540, decode.loss_ce: 0.1780, decode.acc_seg: 92.5507, loss: 0.1780 +2023-03-05 09:40:23,055 - mmseg - INFO - Iter [138650/160000] lr: 2.344e-06, eta: 1:24:42, time: 0.192, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1885, decode.acc_seg: 92.2761, loss: 0.1885 +2023-03-05 09:40:32,613 - mmseg - INFO - Iter [138700/160000] lr: 2.344e-06, eta: 1:24:29, time: 0.191, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1833, decode.acc_seg: 92.4815, loss: 0.1833 +2023-03-05 09:40:42,498 - mmseg - INFO - Iter [138750/160000] lr: 2.344e-06, eta: 1:24:17, time: 0.197, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1894, decode.acc_seg: 92.2868, loss: 0.1894 +2023-03-05 09:40:52,731 - mmseg - INFO - Iter [138800/160000] lr: 2.344e-06, eta: 1:24:05, time: 0.205, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1871, decode.acc_seg: 92.4186, loss: 0.1871 +2023-03-05 09:41:04,931 - mmseg - INFO - Iter [138850/160000] lr: 2.344e-06, eta: 1:23:53, time: 0.244, data_time: 0.057, memory: 52540, decode.loss_ce: 0.1910, decode.acc_seg: 92.1859, loss: 0.1910 +2023-03-05 09:41:14,660 - mmseg - INFO - Iter [138900/160000] lr: 2.344e-06, eta: 1:23:41, time: 0.195, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1771, decode.acc_seg: 92.5743, loss: 0.1771 +2023-03-05 09:41:24,381 - mmseg - INFO - Iter [138950/160000] lr: 2.344e-06, eta: 1:23:29, time: 0.194, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1865, decode.acc_seg: 92.3860, loss: 0.1865 +2023-03-05 09:41:34,185 - mmseg - INFO - Exp name: ablation_segformer_mit_b2_segformer_head_unet_fc_small_multi_step_ade_pretrained_freeze_embed_160k_ade20k151_mask_finetune_maskreplace.py +2023-03-05 09:41:34,186 - mmseg - INFO - Iter [139000/160000] lr: 2.344e-06, eta: 1:23:16, time: 0.196, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1911, decode.acc_seg: 92.2931, loss: 0.1911 +2023-03-05 09:41:43,864 - mmseg - INFO - Iter [139050/160000] lr: 2.344e-06, eta: 1:23:04, time: 0.194, data_time: 0.008, memory: 52540, decode.loss_ce: 0.1816, decode.acc_seg: 92.5516, loss: 0.1816 +2023-03-05 09:41:53,585 - mmseg - INFO - Iter [139100/160000] lr: 2.344e-06, eta: 1:22:52, time: 0.194, data_time: 0.008, memory: 52540, decode.loss_ce: 0.1778, decode.acc_seg: 92.6570, loss: 0.1778 +2023-03-05 09:42:03,198 - mmseg - INFO - Iter [139150/160000] lr: 2.344e-06, eta: 1:22:40, time: 0.192, data_time: 0.008, memory: 52540, decode.loss_ce: 0.1807, decode.acc_seg: 92.5022, loss: 0.1807 +2023-03-05 09:42:12,695 - mmseg - INFO - Iter [139200/160000] lr: 2.344e-06, eta: 1:22:27, time: 0.190, data_time: 0.008, memory: 52540, decode.loss_ce: 0.1841, decode.acc_seg: 92.4606, loss: 0.1841 +2023-03-05 09:42:22,273 - mmseg - INFO - Iter [139250/160000] lr: 2.344e-06, eta: 1:22:15, time: 0.192, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1918, decode.acc_seg: 92.2000, loss: 0.1918 +2023-03-05 09:42:31,791 - mmseg - INFO - Iter [139300/160000] lr: 2.344e-06, eta: 1:22:03, time: 0.190, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1841, decode.acc_seg: 92.5283, loss: 0.1841 +2023-03-05 09:42:41,610 - mmseg - INFO - Iter [139350/160000] lr: 2.344e-06, eta: 1:21:51, time: 0.196, data_time: 0.008, memory: 52540, decode.loss_ce: 0.1809, decode.acc_seg: 92.6228, loss: 0.1809 +2023-03-05 09:42:51,533 - mmseg - INFO - Iter [139400/160000] lr: 2.344e-06, eta: 1:21:39, time: 0.198, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1783, decode.acc_seg: 92.5026, loss: 0.1783 +2023-03-05 09:43:01,159 - mmseg - INFO - Iter [139450/160000] lr: 2.344e-06, eta: 1:21:26, time: 0.193, data_time: 0.008, memory: 52540, decode.loss_ce: 0.1850, decode.acc_seg: 92.3802, loss: 0.1850 +2023-03-05 09:43:13,307 - mmseg - INFO - Iter [139500/160000] lr: 2.344e-06, eta: 1:21:15, time: 0.243, data_time: 0.057, memory: 52540, decode.loss_ce: 0.1817, decode.acc_seg: 92.4706, loss: 0.1817 +2023-03-05 09:43:23,076 - mmseg - INFO - Iter [139550/160000] lr: 2.344e-06, eta: 1:21:02, time: 0.195, data_time: 0.008, memory: 52540, decode.loss_ce: 0.1813, decode.acc_seg: 92.4761, loss: 0.1813 +2023-03-05 09:43:33,039 - mmseg - INFO - Iter [139600/160000] lr: 2.344e-06, eta: 1:20:50, time: 0.199, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1865, decode.acc_seg: 92.4226, loss: 0.1865 +2023-03-05 09:43:43,031 - mmseg - INFO - Iter [139650/160000] lr: 2.344e-06, eta: 1:20:38, time: 0.200, data_time: 0.008, memory: 52540, decode.loss_ce: 0.1761, decode.acc_seg: 92.6721, loss: 0.1761 +2023-03-05 09:43:53,168 - mmseg - INFO - Iter [139700/160000] lr: 2.344e-06, eta: 1:20:26, time: 0.203, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1745, decode.acc_seg: 92.7626, loss: 0.1745 +2023-03-05 09:44:02,761 - mmseg - INFO - Iter [139750/160000] lr: 2.344e-06, eta: 1:20:14, time: 0.192, data_time: 0.008, memory: 52540, decode.loss_ce: 0.1775, decode.acc_seg: 92.5757, loss: 0.1775 +2023-03-05 09:44:12,409 - mmseg - INFO - Iter [139800/160000] lr: 2.344e-06, eta: 1:20:01, time: 0.193, data_time: 0.008, memory: 52540, decode.loss_ce: 0.1845, decode.acc_seg: 92.5529, loss: 0.1845 +2023-03-05 09:44:21,926 - mmseg - INFO - Iter [139850/160000] lr: 2.344e-06, eta: 1:19:49, time: 0.190, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1837, decode.acc_seg: 92.4476, loss: 0.1837 +2023-03-05 09:44:31,651 - mmseg - INFO - Iter [139900/160000] lr: 2.344e-06, eta: 1:19:37, time: 0.194, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1811, decode.acc_seg: 92.6024, loss: 0.1811 +2023-03-05 09:44:41,292 - mmseg - INFO - Iter [139950/160000] lr: 2.344e-06, eta: 1:19:25, time: 0.193, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1925, decode.acc_seg: 92.2824, loss: 0.1925 +2023-03-05 09:44:51,151 - mmseg - INFO - Exp name: ablation_segformer_mit_b2_segformer_head_unet_fc_small_multi_step_ade_pretrained_freeze_embed_160k_ade20k151_mask_finetune_maskreplace.py +2023-03-05 09:44:51,151 - mmseg - INFO - Iter [140000/160000] lr: 2.344e-06, eta: 1:19:13, time: 0.197, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1845, decode.acc_seg: 92.5949, loss: 0.1845 +2023-03-05 09:45:00,934 - mmseg - INFO - Iter [140050/160000] lr: 1.172e-06, eta: 1:19:00, time: 0.196, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1801, decode.acc_seg: 92.5249, loss: 0.1801 +2023-03-05 09:45:12,994 - mmseg - INFO - Iter [140100/160000] lr: 1.172e-06, eta: 1:18:49, time: 0.241, data_time: 0.055, memory: 52540, decode.loss_ce: 0.1829, decode.acc_seg: 92.4582, loss: 0.1829 +2023-03-05 09:45:23,004 - mmseg - INFO - Iter [140150/160000] lr: 1.172e-06, eta: 1:18:36, time: 0.200, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1861, decode.acc_seg: 92.4447, loss: 0.1861 +2023-03-05 09:45:32,939 - mmseg - INFO - Iter [140200/160000] lr: 1.172e-06, eta: 1:18:24, time: 0.199, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1839, decode.acc_seg: 92.5737, loss: 0.1839 +2023-03-05 09:45:42,591 - mmseg - INFO - Iter [140250/160000] lr: 1.172e-06, eta: 1:18:12, time: 0.193, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1830, decode.acc_seg: 92.4371, loss: 0.1830 +2023-03-05 09:45:52,884 - mmseg - INFO - Iter [140300/160000] lr: 1.172e-06, eta: 1:18:00, time: 0.206, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1808, decode.acc_seg: 92.5738, loss: 0.1808 +2023-03-05 09:46:02,608 - mmseg - INFO - Iter [140350/160000] lr: 1.172e-06, eta: 1:17:48, time: 0.195, data_time: 0.008, memory: 52540, decode.loss_ce: 0.1837, decode.acc_seg: 92.4076, loss: 0.1837 +2023-03-05 09:46:12,142 - mmseg - INFO - Iter [140400/160000] lr: 1.172e-06, eta: 1:17:36, time: 0.191, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1812, decode.acc_seg: 92.5517, loss: 0.1812 +2023-03-05 09:46:21,802 - mmseg - INFO - Iter [140450/160000] lr: 1.172e-06, eta: 1:17:23, time: 0.193, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1839, decode.acc_seg: 92.4484, loss: 0.1839 +2023-03-05 09:46:31,316 - mmseg - INFO - Iter [140500/160000] lr: 1.172e-06, eta: 1:17:11, time: 0.190, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1876, decode.acc_seg: 92.3251, loss: 0.1876 +2023-03-05 09:46:40,961 - mmseg - INFO - Iter [140550/160000] lr: 1.172e-06, eta: 1:16:59, time: 0.193, data_time: 0.008, memory: 52540, decode.loss_ce: 0.1857, decode.acc_seg: 92.4255, loss: 0.1857 +2023-03-05 09:46:50,616 - mmseg - INFO - Iter [140600/160000] lr: 1.172e-06, eta: 1:16:47, time: 0.193, data_time: 0.008, memory: 52540, decode.loss_ce: 0.1797, decode.acc_seg: 92.7258, loss: 0.1797 +2023-03-05 09:47:00,615 - mmseg - INFO - Iter [140650/160000] lr: 1.172e-06, eta: 1:16:35, time: 0.200, data_time: 0.008, memory: 52540, decode.loss_ce: 0.1902, decode.acc_seg: 92.2695, loss: 0.1902 +2023-03-05 09:47:10,280 - mmseg - INFO - Iter [140700/160000] lr: 1.172e-06, eta: 1:16:22, time: 0.193, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1785, decode.acc_seg: 92.5855, loss: 0.1785 +2023-03-05 09:47:22,482 - mmseg - INFO - Iter [140750/160000] lr: 1.172e-06, eta: 1:16:11, time: 0.244, data_time: 0.057, memory: 52540, decode.loss_ce: 0.1795, decode.acc_seg: 92.5965, loss: 0.1795 +2023-03-05 09:47:32,015 - mmseg - INFO - Iter [140800/160000] lr: 1.172e-06, eta: 1:15:58, time: 0.191, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1911, decode.acc_seg: 92.1499, loss: 0.1911 +2023-03-05 09:47:41,839 - mmseg - INFO - Iter [140850/160000] lr: 1.172e-06, eta: 1:15:46, time: 0.196, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1894, decode.acc_seg: 92.2136, loss: 0.1894 +2023-03-05 09:47:51,417 - mmseg - INFO - Iter [140900/160000] lr: 1.172e-06, eta: 1:15:34, time: 0.192, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1858, decode.acc_seg: 92.4052, loss: 0.1858 +2023-03-05 09:48:01,128 - mmseg - INFO - Iter [140950/160000] lr: 1.172e-06, eta: 1:15:22, time: 0.194, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1836, decode.acc_seg: 92.4949, loss: 0.1836 +2023-03-05 09:48:10,793 - mmseg - INFO - Exp name: ablation_segformer_mit_b2_segformer_head_unet_fc_small_multi_step_ade_pretrained_freeze_embed_160k_ade20k151_mask_finetune_maskreplace.py +2023-03-05 09:48:10,793 - mmseg - INFO - Iter [141000/160000] lr: 1.172e-06, eta: 1:15:10, time: 0.193, data_time: 0.008, memory: 52540, decode.loss_ce: 0.1864, decode.acc_seg: 92.2983, loss: 0.1864 +2023-03-05 09:48:20,624 - mmseg - INFO - Iter [141050/160000] lr: 1.172e-06, eta: 1:14:58, time: 0.197, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1785, decode.acc_seg: 92.6872, loss: 0.1785 +2023-03-05 09:48:30,184 - mmseg - INFO - Iter [141100/160000] lr: 1.172e-06, eta: 1:14:45, time: 0.191, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1812, decode.acc_seg: 92.4442, loss: 0.1812 +2023-03-05 09:48:39,732 - mmseg - INFO - Iter [141150/160000] lr: 1.172e-06, eta: 1:14:33, time: 0.191, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1840, decode.acc_seg: 92.4140, loss: 0.1840 +2023-03-05 09:48:49,809 - mmseg - INFO - Iter [141200/160000] lr: 1.172e-06, eta: 1:14:21, time: 0.201, data_time: 0.008, memory: 52540, decode.loss_ce: 0.1807, decode.acc_seg: 92.7150, loss: 0.1807 +2023-03-05 09:48:59,918 - mmseg - INFO - Iter [141250/160000] lr: 1.172e-06, eta: 1:14:09, time: 0.202, data_time: 0.008, memory: 52540, decode.loss_ce: 0.1835, decode.acc_seg: 92.5154, loss: 0.1835 +2023-03-05 09:49:09,708 - mmseg - INFO - Iter [141300/160000] lr: 1.172e-06, eta: 1:13:57, time: 0.196, data_time: 0.008, memory: 52540, decode.loss_ce: 0.1766, decode.acc_seg: 92.7408, loss: 0.1766 +2023-03-05 09:49:21,948 - mmseg - INFO - Iter [141350/160000] lr: 1.172e-06, eta: 1:13:45, time: 0.245, data_time: 0.056, memory: 52540, decode.loss_ce: 0.1832, decode.acc_seg: 92.5183, loss: 0.1832 +2023-03-05 09:49:31,724 - mmseg - INFO - Iter [141400/160000] lr: 1.172e-06, eta: 1:13:33, time: 0.196, data_time: 0.008, memory: 52540, decode.loss_ce: 0.1887, decode.acc_seg: 92.2238, loss: 0.1887 +2023-03-05 09:49:41,399 - mmseg - INFO - Iter [141450/160000] lr: 1.172e-06, eta: 1:13:21, time: 0.193, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1812, decode.acc_seg: 92.5960, loss: 0.1812 +2023-03-05 09:49:51,164 - mmseg - INFO - Iter [141500/160000] lr: 1.172e-06, eta: 1:13:09, time: 0.195, data_time: 0.008, memory: 52540, decode.loss_ce: 0.1850, decode.acc_seg: 92.4494, loss: 0.1850 +2023-03-05 09:50:00,756 - mmseg - INFO - Iter [141550/160000] lr: 1.172e-06, eta: 1:12:57, time: 0.192, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1851, decode.acc_seg: 92.3963, loss: 0.1851 +2023-03-05 09:50:10,381 - mmseg - INFO - Iter [141600/160000] lr: 1.172e-06, eta: 1:12:44, time: 0.193, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1833, decode.acc_seg: 92.4187, loss: 0.1833 +2023-03-05 09:50:20,375 - mmseg - INFO - Iter [141650/160000] lr: 1.172e-06, eta: 1:12:32, time: 0.200, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1756, decode.acc_seg: 92.7138, loss: 0.1756 +2023-03-05 09:50:30,259 - mmseg - INFO - Iter [141700/160000] lr: 1.172e-06, eta: 1:12:20, time: 0.198, data_time: 0.008, memory: 52540, decode.loss_ce: 0.1823, decode.acc_seg: 92.5643, loss: 0.1823 +2023-03-05 09:50:39,865 - mmseg - INFO - Iter [141750/160000] lr: 1.172e-06, eta: 1:12:08, time: 0.192, data_time: 0.008, memory: 52540, decode.loss_ce: 0.1864, decode.acc_seg: 92.3114, loss: 0.1864 +2023-03-05 09:50:49,607 - mmseg - INFO - Iter [141800/160000] lr: 1.172e-06, eta: 1:11:56, time: 0.195, data_time: 0.008, memory: 52540, decode.loss_ce: 0.1849, decode.acc_seg: 92.4243, loss: 0.1849 +2023-03-05 09:50:59,177 - mmseg - INFO - Iter [141850/160000] lr: 1.172e-06, eta: 1:11:44, time: 0.191, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1846, decode.acc_seg: 92.3905, loss: 0.1846 +2023-03-05 09:51:08,733 - mmseg - INFO - Iter [141900/160000] lr: 1.172e-06, eta: 1:11:32, time: 0.191, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1865, decode.acc_seg: 92.3172, loss: 0.1865 +2023-03-05 09:51:18,372 - mmseg - INFO - Iter [141950/160000] lr: 1.172e-06, eta: 1:11:19, time: 0.193, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1801, decode.acc_seg: 92.6632, loss: 0.1801 +2023-03-05 09:51:30,806 - mmseg - INFO - Exp name: ablation_segformer_mit_b2_segformer_head_unet_fc_small_multi_step_ade_pretrained_freeze_embed_160k_ade20k151_mask_finetune_maskreplace.py +2023-03-05 09:51:30,807 - mmseg - INFO - Iter [142000/160000] lr: 1.172e-06, eta: 1:11:08, time: 0.249, data_time: 0.057, memory: 52540, decode.loss_ce: 0.1847, decode.acc_seg: 92.2522, loss: 0.1847 +2023-03-05 09:51:40,496 - mmseg - INFO - Iter [142050/160000] lr: 1.172e-06, eta: 1:10:56, time: 0.193, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1816, decode.acc_seg: 92.6799, loss: 0.1816 +2023-03-05 09:51:50,434 - mmseg - INFO - Iter [142100/160000] lr: 1.172e-06, eta: 1:10:43, time: 0.199, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1871, decode.acc_seg: 92.3272, loss: 0.1871 +2023-03-05 09:52:00,043 - mmseg - INFO - Iter [142150/160000] lr: 1.172e-06, eta: 1:10:31, time: 0.192, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1784, decode.acc_seg: 92.6529, loss: 0.1784 +2023-03-05 09:52:09,567 - mmseg - INFO - Iter [142200/160000] lr: 1.172e-06, eta: 1:10:19, time: 0.190, data_time: 0.008, memory: 52540, decode.loss_ce: 0.1793, decode.acc_seg: 92.6067, loss: 0.1793 +2023-03-05 09:52:19,305 - mmseg - INFO - Iter [142250/160000] lr: 1.172e-06, eta: 1:10:07, time: 0.195, data_time: 0.008, memory: 52540, decode.loss_ce: 0.1913, decode.acc_seg: 92.1106, loss: 0.1913 +2023-03-05 09:52:28,879 - mmseg - INFO - Iter [142300/160000] lr: 1.172e-06, eta: 1:09:55, time: 0.191, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1849, decode.acc_seg: 92.3509, loss: 0.1849 +2023-03-05 09:52:39,103 - mmseg - INFO - Iter [142350/160000] lr: 1.172e-06, eta: 1:09:43, time: 0.204, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1874, decode.acc_seg: 92.4066, loss: 0.1874 +2023-03-05 09:52:48,864 - mmseg - INFO - Iter [142400/160000] lr: 1.172e-06, eta: 1:09:31, time: 0.195, data_time: 0.008, memory: 52540, decode.loss_ce: 0.1792, decode.acc_seg: 92.6412, loss: 0.1792 +2023-03-05 09:52:58,438 - mmseg - INFO - Iter [142450/160000] lr: 1.172e-06, eta: 1:09:19, time: 0.191, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1808, decode.acc_seg: 92.4981, loss: 0.1808 +2023-03-05 09:53:08,079 - mmseg - INFO - Iter [142500/160000] lr: 1.172e-06, eta: 1:09:07, time: 0.193, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1830, decode.acc_seg: 92.4601, loss: 0.1830 +2023-03-05 09:53:17,724 - mmseg - INFO - Iter [142550/160000] lr: 1.172e-06, eta: 1:08:54, time: 0.193, data_time: 0.008, memory: 52540, decode.loss_ce: 0.1868, decode.acc_seg: 92.3301, loss: 0.1868 +2023-03-05 09:53:27,623 - mmseg - INFO - Iter [142600/160000] lr: 1.172e-06, eta: 1:08:42, time: 0.198, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1847, decode.acc_seg: 92.3452, loss: 0.1847 +2023-03-05 09:53:39,929 - mmseg - INFO - Iter [142650/160000] lr: 1.172e-06, eta: 1:08:31, time: 0.246, data_time: 0.053, memory: 52540, decode.loss_ce: 0.1850, decode.acc_seg: 92.4049, loss: 0.1850 +2023-03-05 09:53:49,934 - mmseg - INFO - Iter [142700/160000] lr: 1.172e-06, eta: 1:08:18, time: 0.200, data_time: 0.008, memory: 52540, decode.loss_ce: 0.1829, decode.acc_seg: 92.5349, loss: 0.1829 +2023-03-05 09:53:59,496 - mmseg - INFO - Iter [142750/160000] lr: 1.172e-06, eta: 1:08:06, time: 0.191, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1823, decode.acc_seg: 92.5667, loss: 0.1823 +2023-03-05 09:54:09,128 - mmseg - INFO - Iter [142800/160000] lr: 1.172e-06, eta: 1:07:54, time: 0.193, data_time: 0.008, memory: 52540, decode.loss_ce: 0.1779, decode.acc_seg: 92.6379, loss: 0.1779 +2023-03-05 09:54:18,780 - mmseg - INFO - Iter [142850/160000] lr: 1.172e-06, eta: 1:07:42, time: 0.193, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1912, decode.acc_seg: 92.1897, loss: 0.1912 +2023-03-05 09:54:28,424 - mmseg - INFO - Iter [142900/160000] lr: 1.172e-06, eta: 1:07:30, time: 0.193, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1832, decode.acc_seg: 92.3967, loss: 0.1832 +2023-03-05 09:54:38,026 - mmseg - INFO - Iter [142950/160000] lr: 1.172e-06, eta: 1:07:18, time: 0.192, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1813, decode.acc_seg: 92.5176, loss: 0.1813 +2023-03-05 09:54:47,758 - mmseg - INFO - Exp name: ablation_segformer_mit_b2_segformer_head_unet_fc_small_multi_step_ade_pretrained_freeze_embed_160k_ade20k151_mask_finetune_maskreplace.py +2023-03-05 09:54:47,758 - mmseg - INFO - Iter [143000/160000] lr: 1.172e-06, eta: 1:07:06, time: 0.195, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1838, decode.acc_seg: 92.4275, loss: 0.1838 +2023-03-05 09:54:57,360 - mmseg - INFO - Iter [143050/160000] lr: 1.172e-06, eta: 1:06:54, time: 0.192, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1955, decode.acc_seg: 92.1388, loss: 0.1955 +2023-03-05 09:55:07,279 - mmseg - INFO - Iter [143100/160000] lr: 1.172e-06, eta: 1:06:42, time: 0.198, data_time: 0.008, memory: 52540, decode.loss_ce: 0.1788, decode.acc_seg: 92.6098, loss: 0.1788 +2023-03-05 09:55:16,935 - mmseg - INFO - Iter [143150/160000] lr: 1.172e-06, eta: 1:06:30, time: 0.193, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1815, decode.acc_seg: 92.4944, loss: 0.1815 +2023-03-05 09:55:26,537 - mmseg - INFO - Iter [143200/160000] lr: 1.172e-06, eta: 1:06:17, time: 0.192, data_time: 0.008, memory: 52540, decode.loss_ce: 0.1822, decode.acc_seg: 92.4578, loss: 0.1822 +2023-03-05 09:55:38,686 - mmseg - INFO - Iter [143250/160000] lr: 1.172e-06, eta: 1:06:06, time: 0.243, data_time: 0.056, memory: 52540, decode.loss_ce: 0.1785, decode.acc_seg: 92.6574, loss: 0.1785 +2023-03-05 09:55:48,753 - mmseg - INFO - Iter [143300/160000] lr: 1.172e-06, eta: 1:05:54, time: 0.201, data_time: 0.008, memory: 52540, decode.loss_ce: 0.1802, decode.acc_seg: 92.5225, loss: 0.1802 +2023-03-05 09:55:58,446 - mmseg - INFO - Iter [143350/160000] lr: 1.172e-06, eta: 1:05:41, time: 0.194, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1829, decode.acc_seg: 92.4470, loss: 0.1829 +2023-03-05 09:56:08,643 - mmseg - INFO - Iter [143400/160000] lr: 1.172e-06, eta: 1:05:29, time: 0.204, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1786, decode.acc_seg: 92.6293, loss: 0.1786 +2023-03-05 09:56:18,384 - mmseg - INFO - Iter [143450/160000] lr: 1.172e-06, eta: 1:05:17, time: 0.195, data_time: 0.008, memory: 52540, decode.loss_ce: 0.1839, decode.acc_seg: 92.5435, loss: 0.1839 +2023-03-05 09:56:27,946 - mmseg - INFO - Iter [143500/160000] lr: 1.172e-06, eta: 1:05:05, time: 0.191, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1831, decode.acc_seg: 92.4671, loss: 0.1831 +2023-03-05 09:56:37,756 - mmseg - INFO - Iter [143550/160000] lr: 1.172e-06, eta: 1:04:53, time: 0.196, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1835, decode.acc_seg: 92.4338, loss: 0.1835 +2023-03-05 09:56:47,518 - mmseg - INFO - Iter [143600/160000] lr: 1.172e-06, eta: 1:04:41, time: 0.195, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1848, decode.acc_seg: 92.4138, loss: 0.1848 +2023-03-05 09:56:57,133 - mmseg - INFO - Iter [143650/160000] lr: 1.172e-06, eta: 1:04:29, time: 0.192, data_time: 0.008, memory: 52540, decode.loss_ce: 0.1888, decode.acc_seg: 92.2414, loss: 0.1888 +2023-03-05 09:57:06,854 - mmseg - INFO - Iter [143700/160000] lr: 1.172e-06, eta: 1:04:17, time: 0.194, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1851, decode.acc_seg: 92.4828, loss: 0.1851 +2023-03-05 09:57:16,489 - mmseg - INFO - Iter [143750/160000] lr: 1.172e-06, eta: 1:04:05, time: 0.193, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1925, decode.acc_seg: 92.3989, loss: 0.1925 +2023-03-05 09:57:26,193 - mmseg - INFO - Iter [143800/160000] lr: 1.172e-06, eta: 1:03:53, time: 0.194, data_time: 0.008, memory: 52540, decode.loss_ce: 0.1805, decode.acc_seg: 92.4862, loss: 0.1805 +2023-03-05 09:57:35,837 - mmseg - INFO - Iter [143850/160000] lr: 1.172e-06, eta: 1:03:41, time: 0.193, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1867, decode.acc_seg: 92.3042, loss: 0.1867 +2023-03-05 09:57:48,038 - mmseg - INFO - Iter [143900/160000] lr: 1.172e-06, eta: 1:03:29, time: 0.244, data_time: 0.054, memory: 52540, decode.loss_ce: 0.1789, decode.acc_seg: 92.5533, loss: 0.1789 +2023-03-05 09:57:57,819 - mmseg - INFO - Iter [143950/160000] lr: 1.172e-06, eta: 1:03:17, time: 0.196, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1869, decode.acc_seg: 92.3155, loss: 0.1869 +2023-03-05 09:58:07,409 - mmseg - INFO - Swap parameters (after train) after iter [144000] +2023-03-05 09:58:07,422 - mmseg - INFO - Saving checkpoint at 144000 iterations +2023-03-05 09:58:08,437 - mmseg - INFO - Exp name: ablation_segformer_mit_b2_segformer_head_unet_fc_small_multi_step_ade_pretrained_freeze_embed_160k_ade20k151_mask_finetune_maskreplace.py +2023-03-05 09:58:08,438 - mmseg - INFO - Iter [144000/160000] lr: 1.172e-06, eta: 1:03:05, time: 0.212, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1812, decode.acc_seg: 92.5836, loss: 0.1812 +2023-03-05 10:09:11,850 - mmseg - INFO - per class results: +2023-03-05 10:09:11,858 - mmseg - INFO - ++---------------------+-------------------------------------------------------------------+ +| Class | IoU 0,10,20,30,40,50,60,70,80,90,99 | ++---------------------+-------------------------------------------------------------------+ +| background | nan,nan,nan,nan,nan,nan,nan,nan,nan,nan,nan | +| wall | 77.45,77.47,77.49,77.51,77.52,77.54,77.56,77.56,77.56,77.57,77.58 | +| building | 81.69,81.71,81.73,81.73,81.73,81.73,81.74,81.74,81.75,81.74,81.75 | +| sky | 94.47,94.48,94.48,94.49,94.49,94.49,94.5,94.5,94.5,94.51,94.51 | +| floor | 81.51,81.52,81.53,81.53,81.55,81.58,81.58,81.59,81.6,81.62,81.65 | +| tree | 74.17,74.2,74.22,74.25,74.28,74.29,74.32,74.33,74.36,74.37,74.35 | +| ceiling | 85.03,85.07,85.08,85.13,85.15,85.18,85.22,85.22,85.24,85.26,85.3 | +| road | 82.12,82.11,82.1,82.12,82.11,82.04,82.07,82.1,82.22,82.2,82.2 | +| bed | 87.77,87.78,87.79,87.8,87.85,87.88,87.91,87.91,87.95,87.96,88.01 | +| windowpane | 60.46,60.48,60.5,60.56,60.61,60.63,60.64,60.66,60.65,60.67,60.75 | +| grass | 67.21,67.25,67.26,67.31,67.3,67.32,67.3,67.28,67.25,67.25,67.23 | +| cabinet | 60.41,60.56,60.56,60.7,60.84,60.93,61.02,61.04,61.06,61.12,61.1 | +| sidewalk | 64.67,64.66,64.67,64.68,64.62,64.5,64.51,64.53,64.71,64.74,64.67 | +| person | 79.73,79.74,79.78,79.81,79.81,79.82,79.84,79.82,79.83,79.83,79.82 | +| earth | 35.9,35.99,36.0,36.07,36.1,36.1,36.08,36.07,36.02,36.02,36.09 | +| door | 46.53,46.55,46.54,46.57,46.56,46.63,46.63,46.62,46.59,46.62,46.67 | +| table | 61.18,61.21,61.24,61.22,61.23,61.24,61.27,61.24,61.26,61.26,61.25 | +| mountain | 57.16,57.36,57.53,57.66,57.76,57.82,57.83,57.86,57.9,57.94,58.01 | +| plant | 49.43,49.4,49.36,49.37,49.39,49.38,49.39,49.36,49.36,49.39,49.41 | +| curtain | 73.95,73.99,74.06,74.02,74.05,74.13,74.18,74.23,74.26,74.28,74.2 | +| chair | 56.75,56.78,56.81,56.86,56.87,56.92,56.95,56.96,56.99,57.04,57.04 | +| car | 81.93,81.97,82.04,82.09,82.11,82.14,82.18,82.16,82.22,82.22,82.23 | +| water | 58.11,58.09,58.09,58.05,58.09,58.08,58.05,58.02,57.98,57.96,57.95 | +| painting | 70.17,70.09,70.07,69.9,69.88,69.83,69.82,69.79,69.8,69.78,69.83 | +| sofa | 64.66,64.82,64.88,65.01,65.06,65.01,64.94,64.8,64.86,64.86,65.01 | +| shelf | 43.64,43.67,43.67,43.67,43.82,43.85,43.85,43.85,43.96,44.01,44.1 | +| house | 41.64,41.81,42.31,42.45,42.46,42.57,42.73,42.72,42.77,42.76,42.58 | +| sea | 60.66,60.69,60.73,60.74,60.75,60.76,60.77,60.77,60.76,60.76,60.75 | +| mirror | 66.31,66.22,66.19,66.1,66.1,65.95,65.93,65.84,65.85,65.82,65.88 | +| rug | 64.4,64.41,64.35,64.31,64.25,64.27,64.2,64.21,64.07,64.09,64.16 | +| field | 29.97,29.98,29.98,30.01,30.01,30.03,30.06,30.07,30.09,30.12,30.15 | +| armchair | 37.57,37.59,37.64,37.76,37.85,37.8,37.93,37.93,38.01,38.02,38.11 | +| seat | 65.84,65.92,65.96,66.06,66.15,66.18,66.21,66.2,66.2,66.22,66.16 | +| fence | 41.3,41.36,41.38,41.37,41.41,41.43,41.51,41.4,41.42,41.44,41.51 | +| desk | 46.76,46.89,47.08,47.13,47.24,47.29,47.37,47.4,47.41,47.41,47.39 | +| rock | 37.08,37.14,37.16,37.19,37.2,37.26,37.28,37.32,37.34,37.35,37.35 | +| wardrobe | 57.18,57.3,57.22,57.4,57.5,57.59,57.73,57.74,57.63,57.68,57.68 | +| lamp | 62.41,62.46,62.45,62.52,62.42,62.44,62.41,62.39,62.41,62.29,62.47 | +| bathtub | 77.82,78.05,78.01,78.31,78.25,78.51,78.52,78.7,78.68,78.78,78.55 | +| railing | 33.35,33.31,33.27,33.19,33.18,33.13,33.08,33.0,33.0,32.93,32.83 | +| cushion | 57.33,57.51,57.52,57.72,57.87,57.85,58.13,58.17,58.18,58.24,58.22 | +| base | 21.42,21.64,21.79,21.75,22.08,22.07,22.06,22.09,22.05,22.08,22.05 | +| box | 23.39,23.52,23.64,23.83,24.05,24.0,24.14,24.21,24.21,24.27,24.3 | +| column | 45.83,45.89,45.98,46.22,46.51,46.75,46.82,47.02,47.07,47.18,46.96 | +| signboard | 37.69,37.7,37.68,37.69,37.71,37.69,37.73,37.67,37.68,37.64,37.59 | +| chest of drawers | 36.22,36.26,36.13,36.39,36.55,36.62,36.66,36.54,36.52,36.63,36.47 | +| counter | 32.47,32.49,32.67,32.54,32.58,32.59,32.6,32.64,32.6,32.57,32.59 | +| sand | 42.52,42.49,42.4,42.23,42.19,42.0,41.85,41.71,41.82,41.7,41.7 | +| sink | 68.45,68.42,68.37,68.39,68.29,68.25,68.21,68.14,68.1,68.07,68.06 | +| skyscraper | 52.92,52.29,51.87,51.14,50.84,50.78,50.63,50.49,50.37,50.29,49.28 | +| fireplace | 75.15,75.4,75.74,75.95,76.18,76.56,76.68,76.65,76.74,76.8,76.86 | +| refrigerator | 74.82,75.18,75.56,75.71,76.08,76.04,75.93,76.18,76.28,76.31,75.89 | +| grandstand | 52.6,52.65,52.66,52.92,52.99,52.97,53.05,53.14,53.37,53.39,53.33 | +| path | 22.1,22.21,22.36,22.49,22.64,22.77,22.87,22.93,22.9,22.95,22.87 | +| stairs | 33.02,32.97,32.84,32.72,32.76,32.67,32.54,32.42,32.46,32.5,32.44 | +| runway | 67.79,67.84,67.91,67.99,67.94,67.97,68.02,68.05,68.03,68.01,68.02 | +| case | 47.45,47.68,47.79,48.0,48.18,48.29,48.26,48.26,48.05,48.1,48.13 | +| pool table | 91.09,91.11,91.12,91.14,91.2,91.22,91.28,91.42,91.57,91.61,91.61 | +| pillow | 62.04,62.29,62.23,62.66,62.8,62.8,63.06,63.11,63.12,63.03,63.1 | +| screen door | 69.91,70.0,69.56,69.74,69.76,69.61,69.49,69.47,69.42,69.37,69.18 | +| stairway | 23.55,23.55,23.39,23.33,23.08,23.06,22.95,22.77,22.83,22.83,22.63 | +| river | 12.07,12.05,12.03,12.02,12.0,11.99,11.98,11.95,11.95,11.92,11.88 | +| bridge | 32.0,32.17,32.2,32.25,32.25,32.27,32.16,32.09,31.84,31.67,32.01 | +| bookcase | 47.12,47.21,47.25,47.24,47.24,47.44,47.57,47.44,47.55,47.51,47.44 | +| blind | 41.09,41.11,41.21,41.13,41.39,41.44,41.4,41.13,41.03,41.04,41.6 | +| coffee table | 52.43,52.37,52.37,52.3,52.26,52.18,52.12,52.22,52.24,52.32,52.34 | +| toilet | 83.59,83.51,83.5,83.5,83.5,83.54,83.5,83.56,83.52,83.55,83.58 | +| flower | 38.58,38.54,38.53,38.49,38.53,38.46,38.41,38.41,38.34,38.4,38.37 | +| book | 45.5,45.49,45.51,45.4,45.48,45.44,45.48,45.37,45.38,45.3,45.12 | +| hill | 16.1,16.19,16.28,16.53,16.57,16.62,16.7,16.84,16.73,16.71,16.78 | +| bench | 43.77,43.69,43.67,43.62,43.54,43.63,43.6,43.57,43.64,43.68,43.47 | +| countertop | 53.99,54.01,53.92,53.85,53.93,53.75,53.94,53.98,54.02,54.13,54.13 | +| stove | 71.77,71.77,71.8,71.59,71.59,71.34,71.26,71.16,70.71,70.57,70.36 | +| palm | 47.68,47.73,47.81,47.81,47.89,47.87,47.91,48.06,48.05,48.12,48.2 | +| kitchen island | 44.73,45.08,44.94,45.26,45.42,45.54,45.74,45.74,46.09,46.5,46.65 | +| computer | 59.37,59.26,59.26,59.23,59.2,59.17,59.19,59.08,59.13,59.04,58.98 | +| swivel chair | 43.78,43.8,43.89,44.03,44.03,44.03,44.24,44.22,44.39,44.42,44.29 | +| boat | 70.45,70.54,70.69,70.85,70.93,70.98,71.16,71.16,71.2,71.3,71.37 | +| bar | 23.89,23.98,24.08,24.1,24.14,24.19,24.24,24.23,24.27,24.27,24.31 | +| arcade machine | 70.81,71.11,71.21,71.14,71.37,71.5,71.5,71.61,71.45,71.61,71.83 | +| hovel | 28.71,28.55,28.46,28.15,27.92,27.75,27.47,27.16,26.96,26.72,26.68 | +| bus | 77.22,77.38,77.42,77.5,77.6,77.83,78.03,78.08,78.2,78.25,78.38 | +| towel | 64.14,64.23,64.27,64.35,64.4,64.4,64.4,64.38,64.32,64.34,64.23 | +| light | 55.55,55.71,55.82,55.86,56.02,56.14,56.17,56.28,56.32,56.36,56.31 | +| truck | 18.13,18.16,18.12,18.23,18.1,18.13,18.14,18.21,18.17,18.19,18.34 | +| tower | 7.09,7.24,7.22,7.39,7.31,7.81,7.74,7.77,7.8,7.86,7.34 | +| chandelier | 65.83,66.0,66.16,66.24,66.19,66.2,66.26,66.34,66.33,66.46,66.49 | +| awning | 22.93,23.16,23.06,23.23,23.35,23.29,23.3,23.45,23.54,23.48,23.63 | +| streetlight | 27.27,27.36,27.34,27.38,27.45,27.56,27.63,27.58,27.71,27.68,27.79 | +| booth | 44.62,44.88,45.31,45.31,45.74,45.96,46.0,46.18,46.18,46.25,46.26 | +| television receiver | 64.91,64.87,64.88,64.8,64.84,64.75,64.81,64.81,64.85,64.72,64.7 | +| airplane | 58.44,58.42,58.47,58.51,58.49,58.56,58.59,58.65,58.66,58.67,58.7 | +| dirt track | 19.28,19.26,19.49,19.34,19.51,19.82,19.8,19.56,19.47,19.32,20.04 | +| apparel | 33.88,34.03,34.32,34.46,34.55,34.59,34.88,35.1,35.11,35.43,35.51 | +| pole | 17.71,17.68,17.52,17.68,17.67,17.53,17.5,17.48,17.42,17.25,17.34 | +| land | 3.99,4.0,3.89,3.98,4.02,4.03,3.78,3.95,3.85,3.89,3.91 | +| bannister | 12.49,12.61,12.55,12.77,12.65,12.66,12.59,12.58,12.6,12.58,12.61 | +| escalator | 25.16,25.1,25.06,25.1,25.04,24.96,24.94,24.96,24.91,24.93,24.92 | +| ottoman | 45.04,45.25,45.05,45.28,45.56,45.85,45.86,45.74,45.92,45.88,46.27 | +| bottle | 36.69,36.68,36.65,36.74,36.65,36.66,36.58,36.69,36.63,36.66,36.65 | +| buffet | 35.72,35.85,36.47,36.57,36.81,36.67,36.98,37.11,37.26,37.34,37.51 | +| poster | 23.62,23.69,23.62,23.62,23.62,23.6,23.68,23.68,23.58,23.56,23.72 | +| stage | 14.45,14.46,14.49,14.48,14.48,14.5,14.49,14.48,14.56,14.53,14.37 | +| van | 38.63,38.64,38.75,38.61,38.71,38.73,38.74,38.96,38.84,38.91,38.99 | +| ship | 80.57,80.81,81.0,81.22,81.37,81.49,81.7,81.92,82.09,82.2,82.36 | +| fountain | 21.1,21.41,21.65,21.71,21.92,22.05,22.08,22.22,22.28,22.39,22.45 | +| conveyer belt | 85.85,85.82,85.64,85.59,85.61,85.56,85.59,85.68,85.62,85.76,85.7 | +| canopy | 24.44,24.7,24.78,24.85,24.87,24.91,24.87,25.02,24.94,25.03,24.96 | +| washer | 73.28,73.11,73.34,73.4,73.68,73.41,73.46,73.71,73.73,73.62,74.13 | +| plaything | 21.82,21.92,21.92,21.88,22.05,22.04,21.88,21.9,21.92,21.81,21.86 | +| swimming pool | 74.64,74.85,75.24,75.37,75.56,75.73,75.89,75.96,75.98,76.04,76.13 | +| stool | 44.24,44.28,44.23,44.26,44.21,44.24,44.28,44.2,44.2,44.1,44.05 | +| barrel | 55.88,56.44,56.91,57.02,58.24,58.48,58.87,59.08,58.86,58.76,58.61 | +| basket | 24.62,24.68,24.77,24.8,24.77,24.75,24.73,24.74,24.73,24.73,24.65 | +| waterfall | 49.98,49.69,49.53,49.44,49.46,49.42,49.32,49.41,49.4,49.43,49.49 | +| tent | 95.28,95.42,95.41,95.44,95.47,95.53,95.54,95.56,95.54,95.56,95.56 | +| bag | 14.69,14.74,14.83,14.85,14.78,14.83,14.85,15.02,14.99,15.01,15.01 | +| minibike | 64.29,64.21,64.12,64.1,64.12,64.0,64.03,63.89,63.83,63.78,63.82 | +| cradle | 84.94,85.05,85.08,85.11,85.17,85.21,85.41,85.38,85.33,85.42,85.51 | +| oven | 46.69,46.58,46.94,46.89,47.02,47.05,47.21,47.42,47.46,47.99,48.38 | +| ball | 42.54,42.84,43.01,43.24,43.61,43.7,43.97,44.38,44.59,44.93,45.19 | +| food | 53.63,53.44,53.48,53.38,53.3,53.19,53.11,52.92,52.85,52.83,52.88 | +| step | 5.53,5.49,5.71,5.61,5.55,5.58,5.42,5.55,5.42,5.47,5.5 | +| tank | 51.11,51.41,51.51,51.37,51.58,51.64,51.62,51.78,51.71,51.89,51.96 | +| trade name | 27.38,27.54,27.63,27.63,27.65,27.35,27.55,27.28,27.45,27.1,27.26 | +| microwave | 69.01,69.49,70.09,70.29,70.6,70.74,70.84,71.04,71.09,71.35,71.55 | +| pot | 29.66,29.73,29.75,29.84,29.87,29.99,30.0,29.99,30.02,30.1,30.19 | +| animal | 53.91,53.96,53.93,54.02,53.96,54.02,53.98,54.02,54.03,54.01,54.05 | +| bicycle | 53.84,54.1,54.25,54.34,54.51,54.72,54.75,54.78,55.0,54.89,55.22 | +| lake | 57.55,57.59,57.63,57.66,57.68,57.71,57.72,57.73,57.75,57.76,57.73 | +| dishwasher | 66.91,66.93,66.91,67.15,67.27,67.37,67.44,67.51,67.53,67.49,67.13 | +| screen | 68.17,67.65,67.34,66.85,66.03,65.7,65.5,65.12,65.11,64.97,64.94 | +| blanket | 19.56,19.72,19.76,19.78,19.89,19.98,20.12,20.14,20.01,20.13,19.99 | +| sculpture | 56.72,56.78,56.69,56.63,56.73,56.85,57.02,56.86,57.13,57.19,57.26 | +| hood | 60.97,61.25,61.26,61.41,61.41,61.45,61.69,61.57,61.7,61.67,61.6 | +| sconce | 42.23,42.3,42.38,42.49,42.45,42.61,42.63,42.95,42.95,42.85,42.95 | +| vase | 37.33,37.46,37.73,37.88,38.09,38.09,38.28,38.39,38.38,38.54,38.54 | +| traffic light | 32.04,32.06,32.23,32.32,32.35,32.44,32.52,32.38,32.52,32.3,32.29 | +| tray | 8.79,9.0,8.89,9.07,8.95,9.08,9.31,9.28,9.42,9.28,9.4 | +| ashcan | 40.47,40.6,40.45,40.67,40.5,40.47,40.55,40.42,40.54,40.44,40.56 | +| fan | 57.56,57.75,57.69,57.83,57.89,57.98,57.94,57.87,57.84,57.87,57.91 | +| pier | 50.08,50.32,50.39,50.64,50.82,50.99,51.45,51.29,51.55,51.61,51.96 | +| crt screen | 9.8,9.81,9.84,9.95,9.87,9.9,9.93,9.85,9.84,9.83,9.78 | +| plate | 53.5,53.53,53.58,53.63,53.69,53.58,53.57,53.62,53.56,53.59,53.51 | +| monitor | 29.27,28.99,28.6,28.54,28.14,27.89,27.45,27.1,27.06,26.61,26.28 | +| bulletin board | 36.78,36.68,36.58,36.69,36.6,36.82,36.67,36.76,36.79,36.76,36.82 | +| shower | 2.19,2.19,2.18,2.22,2.21,2.2,2.19,2.24,2.23,2.2,2.24 | +| radiator | 62.37,62.65,62.88,62.9,63.3,63.28,63.25,63.4,63.4,63.66,63.83 | +| glass | 13.89,13.83,13.81,13.78,13.77,13.7,13.69,13.7,13.62,13.55,13.48 | +| clock | 37.07,36.97,37.04,37.08,36.93,36.57,36.71,36.78,36.74,36.67,36.29 | +| flag | 36.17,36.14,35.98,35.84,35.87,35.76,35.83,35.62,35.67,35.67,35.67 | ++---------------------+-------------------------------------------------------------------+ +2023-03-05 10:09:11,858 - mmseg - INFO - Summary: +2023-03-05 10:09:11,858 - mmseg - INFO - ++------------------------------------------------------------------+ +| mIoU 0,10,20,30,40,50,60,70,80,90,99 | ++------------------------------------------------------------------+ +| 48.83,48.89,48.93,48.97,49.02,49.04,49.07,49.08,49.09,49.1,49.12 | ++------------------------------------------------------------------+ +2023-03-05 10:09:11,859 - mmseg - INFO - Exp name: ablation_segformer_mit_b2_segformer_head_unet_fc_small_multi_step_ade_pretrained_freeze_embed_160k_ade20k151_mask_finetune_maskreplace.py +2023-03-05 10:09:11,859 - mmseg - INFO - Iter(val) [250] mIoU: [0.4883, 0.4889, 0.4893, 0.4897, 0.4902, 0.4904, 0.4907, 0.4908, 0.4909, 0.491, 0.4912], copy_paste: 48.83,48.89,48.93,48.97,49.02,49.04,49.07,49.08,49.09,49.1,49.12 +2023-03-05 10:09:11,865 - mmseg - INFO - Swap parameters (before train) before iter [144001] +2023-03-05 10:09:21,836 - mmseg - INFO - Iter [144050/160000] lr: 1.172e-06, eta: 1:04:06, time: 13.468, data_time: 13.276, memory: 52540, decode.loss_ce: 0.1844, decode.acc_seg: 92.5433, loss: 0.1844 +2023-03-05 10:09:31,666 - mmseg - INFO - Iter [144100/160000] lr: 1.172e-06, eta: 1:03:54, time: 0.197, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1881, decode.acc_seg: 92.3045, loss: 0.1881 +2023-03-05 10:09:42,013 - mmseg - INFO - Iter [144150/160000] lr: 1.172e-06, eta: 1:03:42, time: 0.207, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1807, decode.acc_seg: 92.6826, loss: 0.1807 +2023-03-05 10:09:51,718 - mmseg - INFO - Iter [144200/160000] lr: 1.172e-06, eta: 1:03:29, time: 0.194, data_time: 0.008, memory: 52540, decode.loss_ce: 0.1781, decode.acc_seg: 92.7451, loss: 0.1781 +2023-03-05 10:10:01,699 - mmseg - INFO - Iter [144250/160000] lr: 1.172e-06, eta: 1:03:17, time: 0.199, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1890, decode.acc_seg: 92.2271, loss: 0.1890 +2023-03-05 10:10:11,472 - mmseg - INFO - Iter [144300/160000] lr: 1.172e-06, eta: 1:03:05, time: 0.196, data_time: 0.008, memory: 52540, decode.loss_ce: 0.1834, decode.acc_seg: 92.4296, loss: 0.1834 +2023-03-05 10:10:21,187 - mmseg - INFO - Iter [144350/160000] lr: 1.172e-06, eta: 1:02:53, time: 0.194, data_time: 0.008, memory: 52540, decode.loss_ce: 0.1840, decode.acc_seg: 92.3482, loss: 0.1840 +2023-03-05 10:10:30,952 - mmseg - INFO - Iter [144400/160000] lr: 1.172e-06, eta: 1:02:40, time: 0.195, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1928, decode.acc_seg: 92.1251, loss: 0.1928 +2023-03-05 10:10:40,523 - mmseg - INFO - Iter [144450/160000] lr: 1.172e-06, eta: 1:02:28, time: 0.191, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1841, decode.acc_seg: 92.4067, loss: 0.1841 +2023-03-05 10:10:52,624 - mmseg - INFO - Iter [144500/160000] lr: 1.172e-06, eta: 1:02:16, time: 0.242, data_time: 0.059, memory: 52540, decode.loss_ce: 0.1854, decode.acc_seg: 92.4722, loss: 0.1854 +2023-03-05 10:11:02,629 - mmseg - INFO - Iter [144550/160000] lr: 1.172e-06, eta: 1:02:04, time: 0.200, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1865, decode.acc_seg: 92.3497, loss: 0.1865 +2023-03-05 10:11:12,403 - mmseg - INFO - Iter [144600/160000] lr: 1.172e-06, eta: 1:01:51, time: 0.195, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1759, decode.acc_seg: 92.8234, loss: 0.1759 +2023-03-05 10:11:22,250 - mmseg - INFO - Iter [144650/160000] lr: 1.172e-06, eta: 1:01:39, time: 0.197, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1853, decode.acc_seg: 92.3334, loss: 0.1853 +2023-03-05 10:11:31,795 - mmseg - INFO - Iter [144700/160000] lr: 1.172e-06, eta: 1:01:27, time: 0.191, data_time: 0.008, memory: 52540, decode.loss_ce: 0.1822, decode.acc_seg: 92.5010, loss: 0.1822 +2023-03-05 10:11:41,540 - mmseg - INFO - Iter [144750/160000] lr: 1.172e-06, eta: 1:01:14, time: 0.195, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1880, decode.acc_seg: 92.2738, loss: 0.1880 +2023-03-05 10:11:51,315 - mmseg - INFO - Iter [144800/160000] lr: 1.172e-06, eta: 1:01:02, time: 0.195, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1848, decode.acc_seg: 92.3787, loss: 0.1848 +2023-03-05 10:12:01,050 - mmseg - INFO - Iter [144850/160000] lr: 1.172e-06, eta: 1:00:50, time: 0.195, data_time: 0.008, memory: 52540, decode.loss_ce: 0.1869, decode.acc_seg: 92.4328, loss: 0.1869 +2023-03-05 10:12:10,675 - mmseg - INFO - Iter [144900/160000] lr: 1.172e-06, eta: 1:00:38, time: 0.192, data_time: 0.008, memory: 52540, decode.loss_ce: 0.1788, decode.acc_seg: 92.6957, loss: 0.1788 +2023-03-05 10:12:20,324 - mmseg - INFO - Iter [144950/160000] lr: 1.172e-06, eta: 1:00:25, time: 0.193, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1872, decode.acc_seg: 92.4671, loss: 0.1872 +2023-03-05 10:12:30,038 - mmseg - INFO - Exp name: ablation_segformer_mit_b2_segformer_head_unet_fc_small_multi_step_ade_pretrained_freeze_embed_160k_ade20k151_mask_finetune_maskreplace.py +2023-03-05 10:12:30,038 - mmseg - INFO - Iter [145000/160000] lr: 1.172e-06, eta: 1:00:13, time: 0.194, data_time: 0.008, memory: 52540, decode.loss_ce: 0.1825, decode.acc_seg: 92.5303, loss: 0.1825 +2023-03-05 10:12:39,630 - mmseg - INFO - Iter [145050/160000] lr: 1.172e-06, eta: 1:00:01, time: 0.192, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1863, decode.acc_seg: 92.2283, loss: 0.1863 +2023-03-05 10:12:49,239 - mmseg - INFO - Iter [145100/160000] lr: 1.172e-06, eta: 0:59:48, time: 0.192, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1891, decode.acc_seg: 92.3458, loss: 0.1891 +2023-03-05 10:13:01,306 - mmseg - INFO - Iter [145150/160000] lr: 1.172e-06, eta: 0:59:36, time: 0.241, data_time: 0.055, memory: 52540, decode.loss_ce: 0.1810, decode.acc_seg: 92.5784, loss: 0.1810 +2023-03-05 10:13:11,199 - mmseg - INFO - Iter [145200/160000] lr: 1.172e-06, eta: 0:59:24, time: 0.198, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1814, decode.acc_seg: 92.5525, loss: 0.1814 +2023-03-05 10:13:20,836 - mmseg - INFO - Iter [145250/160000] lr: 1.172e-06, eta: 0:59:12, time: 0.193, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1901, decode.acc_seg: 92.3017, loss: 0.1901 +2023-03-05 10:13:30,577 - mmseg - INFO - Iter [145300/160000] lr: 1.172e-06, eta: 0:59:00, time: 0.195, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1812, decode.acc_seg: 92.5423, loss: 0.1812 +2023-03-05 10:13:40,498 - mmseg - INFO - Iter [145350/160000] lr: 1.172e-06, eta: 0:58:47, time: 0.199, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1841, decode.acc_seg: 92.6383, loss: 0.1841 +2023-03-05 10:13:50,043 - mmseg - INFO - Iter [145400/160000] lr: 1.172e-06, eta: 0:58:35, time: 0.191, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1824, decode.acc_seg: 92.4675, loss: 0.1824 +2023-03-05 10:13:59,676 - mmseg - INFO - Iter [145450/160000] lr: 1.172e-06, eta: 0:58:23, time: 0.193, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1796, decode.acc_seg: 92.6213, loss: 0.1796 +2023-03-05 10:14:09,483 - mmseg - INFO - Iter [145500/160000] lr: 1.172e-06, eta: 0:58:10, time: 0.196, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1924, decode.acc_seg: 92.1490, loss: 0.1924 +2023-03-05 10:14:19,240 - mmseg - INFO - Iter [145550/160000] lr: 1.172e-06, eta: 0:57:58, time: 0.195, data_time: 0.008, memory: 52540, decode.loss_ce: 0.1818, decode.acc_seg: 92.4690, loss: 0.1818 +2023-03-05 10:14:29,192 - mmseg - INFO - Iter [145600/160000] lr: 1.172e-06, eta: 0:57:46, time: 0.199, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1829, decode.acc_seg: 92.4570, loss: 0.1829 +2023-03-05 10:14:38,980 - mmseg - INFO - Iter [145650/160000] lr: 1.172e-06, eta: 0:57:34, time: 0.195, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1702, decode.acc_seg: 92.9558, loss: 0.1702 +2023-03-05 10:14:48,625 - mmseg - INFO - Iter [145700/160000] lr: 1.172e-06, eta: 0:57:21, time: 0.193, data_time: 0.008, memory: 52540, decode.loss_ce: 0.1838, decode.acc_seg: 92.5610, loss: 0.1838 +2023-03-05 10:14:58,375 - mmseg - INFO - Iter [145750/160000] lr: 1.172e-06, eta: 0:57:09, time: 0.195, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1923, decode.acc_seg: 92.2895, loss: 0.1923 +2023-03-05 10:15:10,526 - mmseg - INFO - Iter [145800/160000] lr: 1.172e-06, eta: 0:56:57, time: 0.243, data_time: 0.054, memory: 52540, decode.loss_ce: 0.1823, decode.acc_seg: 92.5519, loss: 0.1823 +2023-03-05 10:15:20,335 - mmseg - INFO - Iter [145850/160000] lr: 1.172e-06, eta: 0:56:45, time: 0.196, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1877, decode.acc_seg: 92.3373, loss: 0.1877 +2023-03-05 10:15:30,260 - mmseg - INFO - Iter [145900/160000] lr: 1.172e-06, eta: 0:56:33, time: 0.198, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1866, decode.acc_seg: 92.4004, loss: 0.1866 +2023-03-05 10:15:39,921 - mmseg - INFO - Iter [145950/160000] lr: 1.172e-06, eta: 0:56:20, time: 0.193, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1825, decode.acc_seg: 92.5688, loss: 0.1825 +2023-03-05 10:15:49,429 - mmseg - INFO - Exp name: ablation_segformer_mit_b2_segformer_head_unet_fc_small_multi_step_ade_pretrained_freeze_embed_160k_ade20k151_mask_finetune_maskreplace.py +2023-03-05 10:15:49,430 - mmseg - INFO - Iter [146000/160000] lr: 1.172e-06, eta: 0:56:08, time: 0.190, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1836, decode.acc_seg: 92.3784, loss: 0.1836 +2023-03-05 10:15:59,025 - mmseg - INFO - Iter [146050/160000] lr: 1.172e-06, eta: 0:55:56, time: 0.192, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1885, decode.acc_seg: 92.3841, loss: 0.1885 +2023-03-05 10:16:08,698 - mmseg - INFO - Iter [146100/160000] lr: 1.172e-06, eta: 0:55:44, time: 0.193, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1893, decode.acc_seg: 92.2532, loss: 0.1893 +2023-03-05 10:16:18,279 - mmseg - INFO - Iter [146150/160000] lr: 1.172e-06, eta: 0:55:31, time: 0.192, data_time: 0.008, memory: 52540, decode.loss_ce: 0.1869, decode.acc_seg: 92.3241, loss: 0.1869 +2023-03-05 10:16:27,875 - mmseg - INFO - Iter [146200/160000] lr: 1.172e-06, eta: 0:55:19, time: 0.192, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1785, decode.acc_seg: 92.6082, loss: 0.1785 +2023-03-05 10:16:37,461 - mmseg - INFO - Iter [146250/160000] lr: 1.172e-06, eta: 0:55:07, time: 0.192, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1824, decode.acc_seg: 92.5698, loss: 0.1824 +2023-03-05 10:16:47,237 - mmseg - INFO - Iter [146300/160000] lr: 1.172e-06, eta: 0:54:55, time: 0.195, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1853, decode.acc_seg: 92.3200, loss: 0.1853 +2023-03-05 10:16:57,110 - mmseg - INFO - Iter [146350/160000] lr: 1.172e-06, eta: 0:54:42, time: 0.198, data_time: 0.008, memory: 52540, decode.loss_ce: 0.1750, decode.acc_seg: 92.8038, loss: 0.1750 +2023-03-05 10:17:09,356 - mmseg - INFO - Iter [146400/160000] lr: 1.172e-06, eta: 0:54:30, time: 0.245, data_time: 0.054, memory: 52540, decode.loss_ce: 0.1782, decode.acc_seg: 92.6076, loss: 0.1782 +2023-03-05 10:17:19,317 - mmseg - INFO - Iter [146450/160000] lr: 1.172e-06, eta: 0:54:18, time: 0.199, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1863, decode.acc_seg: 92.3222, loss: 0.1863 +2023-03-05 10:17:28,952 - mmseg - INFO - Iter [146500/160000] lr: 1.172e-06, eta: 0:54:06, time: 0.193, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1819, decode.acc_seg: 92.3158, loss: 0.1819 +2023-03-05 10:17:38,559 - mmseg - INFO - Iter [146550/160000] lr: 1.172e-06, eta: 0:53:54, time: 0.192, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1880, decode.acc_seg: 92.2330, loss: 0.1880 +2023-03-05 10:17:48,213 - mmseg - INFO - Iter [146600/160000] lr: 1.172e-06, eta: 0:53:41, time: 0.193, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1817, decode.acc_seg: 92.5811, loss: 0.1817 +2023-03-05 10:17:57,822 - mmseg - INFO - Iter [146650/160000] lr: 1.172e-06, eta: 0:53:29, time: 0.192, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1845, decode.acc_seg: 92.4320, loss: 0.1845 +2023-03-05 10:18:07,349 - mmseg - INFO - Iter [146700/160000] lr: 1.172e-06, eta: 0:53:17, time: 0.191, data_time: 0.008, memory: 52540, decode.loss_ce: 0.1903, decode.acc_seg: 92.0892, loss: 0.1903 +2023-03-05 10:18:17,072 - mmseg - INFO - Iter [146750/160000] lr: 1.172e-06, eta: 0:53:05, time: 0.194, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1814, decode.acc_seg: 92.5762, loss: 0.1814 +2023-03-05 10:18:27,105 - mmseg - INFO - Iter [146800/160000] lr: 1.172e-06, eta: 0:52:52, time: 0.201, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1829, decode.acc_seg: 92.6055, loss: 0.1829 +2023-03-05 10:18:37,269 - mmseg - INFO - Iter [146850/160000] lr: 1.172e-06, eta: 0:52:40, time: 0.203, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1767, decode.acc_seg: 92.6744, loss: 0.1767 +2023-03-05 10:18:46,795 - mmseg - INFO - Iter [146900/160000] lr: 1.172e-06, eta: 0:52:28, time: 0.191, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1790, decode.acc_seg: 92.6370, loss: 0.1790 +2023-03-05 10:18:56,611 - mmseg - INFO - Iter [146950/160000] lr: 1.172e-06, eta: 0:52:16, time: 0.196, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1846, decode.acc_seg: 92.2780, loss: 0.1846 +2023-03-05 10:19:06,241 - mmseg - INFO - Exp name: ablation_segformer_mit_b2_segformer_head_unet_fc_small_multi_step_ade_pretrained_freeze_embed_160k_ade20k151_mask_finetune_maskreplace.py +2023-03-05 10:19:06,242 - mmseg - INFO - Iter [147000/160000] lr: 1.172e-06, eta: 0:52:04, time: 0.193, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1783, decode.acc_seg: 92.6656, loss: 0.1783 +2023-03-05 10:19:18,579 - mmseg - INFO - Iter [147050/160000] lr: 1.172e-06, eta: 0:51:52, time: 0.247, data_time: 0.058, memory: 52540, decode.loss_ce: 0.1852, decode.acc_seg: 92.3965, loss: 0.1852 +2023-03-05 10:19:28,168 - mmseg - INFO - Iter [147100/160000] lr: 1.172e-06, eta: 0:51:39, time: 0.192, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1880, decode.acc_seg: 92.3875, loss: 0.1880 +2023-03-05 10:19:38,354 - mmseg - INFO - Iter [147150/160000] lr: 1.172e-06, eta: 0:51:27, time: 0.204, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1749, decode.acc_seg: 92.7048, loss: 0.1749 +2023-03-05 10:19:48,171 - mmseg - INFO - Iter [147200/160000] lr: 1.172e-06, eta: 0:51:15, time: 0.196, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1837, decode.acc_seg: 92.5974, loss: 0.1837 +2023-03-05 10:19:57,823 - mmseg - INFO - Iter [147250/160000] lr: 1.172e-06, eta: 0:51:03, time: 0.193, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1860, decode.acc_seg: 92.5465, loss: 0.1860 +2023-03-05 10:20:07,389 - mmseg - INFO - Iter [147300/160000] lr: 1.172e-06, eta: 0:50:51, time: 0.191, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1867, decode.acc_seg: 92.2821, loss: 0.1867 +2023-03-05 10:20:17,102 - mmseg - INFO - Iter [147350/160000] lr: 1.172e-06, eta: 0:50:38, time: 0.194, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1857, decode.acc_seg: 92.2581, loss: 0.1857 +2023-03-05 10:20:26,658 - mmseg - INFO - Iter [147400/160000] lr: 1.172e-06, eta: 0:50:26, time: 0.191, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1782, decode.acc_seg: 92.4856, loss: 0.1782 +2023-03-05 10:20:36,441 - mmseg - INFO - Iter [147450/160000] lr: 1.172e-06, eta: 0:50:14, time: 0.196, data_time: 0.008, memory: 52540, decode.loss_ce: 0.1851, decode.acc_seg: 92.3659, loss: 0.1851 +2023-03-05 10:20:46,011 - mmseg - INFO - Iter [147500/160000] lr: 1.172e-06, eta: 0:50:02, time: 0.191, data_time: 0.008, memory: 52540, decode.loss_ce: 0.1821, decode.acc_seg: 92.6067, loss: 0.1821 +2023-03-05 10:20:55,645 - mmseg - INFO - Iter [147550/160000] lr: 1.172e-06, eta: 0:49:50, time: 0.193, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1932, decode.acc_seg: 92.0048, loss: 0.1932 +2023-03-05 10:21:05,748 - mmseg - INFO - Iter [147600/160000] lr: 1.172e-06, eta: 0:49:37, time: 0.202, data_time: 0.008, memory: 52540, decode.loss_ce: 0.1837, decode.acc_seg: 92.4526, loss: 0.1837 +2023-03-05 10:21:15,443 - mmseg - INFO - Iter [147650/160000] lr: 1.172e-06, eta: 0:49:25, time: 0.194, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1840, decode.acc_seg: 92.4389, loss: 0.1840 +2023-03-05 10:21:27,603 - mmseg - INFO - Iter [147700/160000] lr: 1.172e-06, eta: 0:49:13, time: 0.243, data_time: 0.056, memory: 52540, decode.loss_ce: 0.1786, decode.acc_seg: 92.5624, loss: 0.1786 +2023-03-05 10:21:37,622 - mmseg - INFO - Iter [147750/160000] lr: 1.172e-06, eta: 0:49:01, time: 0.200, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1786, decode.acc_seg: 92.6584, loss: 0.1786 +2023-03-05 10:21:47,390 - mmseg - INFO - Iter [147800/160000] lr: 1.172e-06, eta: 0:48:49, time: 0.195, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1870, decode.acc_seg: 92.2581, loss: 0.1870 +2023-03-05 10:21:56,989 - mmseg - INFO - Iter [147850/160000] lr: 1.172e-06, eta: 0:48:37, time: 0.192, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1764, decode.acc_seg: 92.7034, loss: 0.1764 +2023-03-05 10:22:06,602 - mmseg - INFO - Iter [147900/160000] lr: 1.172e-06, eta: 0:48:24, time: 0.192, data_time: 0.008, memory: 52540, decode.loss_ce: 0.1811, decode.acc_seg: 92.5681, loss: 0.1811 +2023-03-05 10:22:16,288 - mmseg - INFO - Iter [147950/160000] lr: 1.172e-06, eta: 0:48:12, time: 0.194, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1852, decode.acc_seg: 92.4856, loss: 0.1852 +2023-03-05 10:22:26,059 - mmseg - INFO - Exp name: ablation_segformer_mit_b2_segformer_head_unet_fc_small_multi_step_ade_pretrained_freeze_embed_160k_ade20k151_mask_finetune_maskreplace.py +2023-03-05 10:22:26,059 - mmseg - INFO - Iter [148000/160000] lr: 1.172e-06, eta: 0:48:00, time: 0.195, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1896, decode.acc_seg: 92.1552, loss: 0.1896 +2023-03-05 10:22:35,749 - mmseg - INFO - Iter [148050/160000] lr: 1.172e-06, eta: 0:47:48, time: 0.194, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1845, decode.acc_seg: 92.4233, loss: 0.1845 +2023-03-05 10:22:45,726 - mmseg - INFO - Iter [148100/160000] lr: 1.172e-06, eta: 0:47:36, time: 0.199, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1805, decode.acc_seg: 92.5484, loss: 0.1805 +2023-03-05 10:22:55,293 - mmseg - INFO - Iter [148150/160000] lr: 1.172e-06, eta: 0:47:23, time: 0.192, data_time: 0.008, memory: 52540, decode.loss_ce: 0.1761, decode.acc_seg: 92.7232, loss: 0.1761 +2023-03-05 10:23:04,851 - mmseg - INFO - Iter [148200/160000] lr: 1.172e-06, eta: 0:47:11, time: 0.191, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1876, decode.acc_seg: 92.2733, loss: 0.1876 +2023-03-05 10:23:14,512 - mmseg - INFO - Iter [148250/160000] lr: 1.172e-06, eta: 0:46:59, time: 0.193, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1888, decode.acc_seg: 92.3484, loss: 0.1888 +2023-03-05 10:23:26,635 - mmseg - INFO - Iter [148300/160000] lr: 1.172e-06, eta: 0:46:47, time: 0.242, data_time: 0.054, memory: 52540, decode.loss_ce: 0.1930, decode.acc_seg: 92.0752, loss: 0.1930 +2023-03-05 10:23:36,698 - mmseg - INFO - Iter [148350/160000] lr: 1.172e-06, eta: 0:46:35, time: 0.201, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1827, decode.acc_seg: 92.5160, loss: 0.1827 +2023-03-05 10:23:46,373 - mmseg - INFO - Iter [148400/160000] lr: 1.172e-06, eta: 0:46:23, time: 0.193, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1867, decode.acc_seg: 92.2129, loss: 0.1867 +2023-03-05 10:23:56,128 - mmseg - INFO - Iter [148450/160000] lr: 1.172e-06, eta: 0:46:11, time: 0.195, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1753, decode.acc_seg: 92.6505, loss: 0.1753 +2023-03-05 10:24:05,834 - mmseg - INFO - Iter [148500/160000] lr: 1.172e-06, eta: 0:45:58, time: 0.194, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1796, decode.acc_seg: 92.6629, loss: 0.1796 +2023-03-05 10:24:15,380 - mmseg - INFO - Iter [148550/160000] lr: 1.172e-06, eta: 0:45:46, time: 0.191, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1826, decode.acc_seg: 92.4326, loss: 0.1826 +2023-03-05 10:24:25,143 - mmseg - INFO - Iter [148600/160000] lr: 1.172e-06, eta: 0:45:34, time: 0.195, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1786, decode.acc_seg: 92.6012, loss: 0.1786 +2023-03-05 10:24:34,860 - mmseg - INFO - Iter [148650/160000] lr: 1.172e-06, eta: 0:45:22, time: 0.194, data_time: 0.008, memory: 52540, decode.loss_ce: 0.1820, decode.acc_seg: 92.5627, loss: 0.1820 +2023-03-05 10:24:44,553 - mmseg - INFO - Iter [148700/160000] lr: 1.172e-06, eta: 0:45:10, time: 0.194, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1785, decode.acc_seg: 92.6554, loss: 0.1785 +2023-03-05 10:24:54,322 - mmseg - INFO - Iter [148750/160000] lr: 1.172e-06, eta: 0:44:58, time: 0.195, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1850, decode.acc_seg: 92.4469, loss: 0.1850 +2023-03-05 10:25:04,087 - mmseg - INFO - Iter [148800/160000] lr: 1.172e-06, eta: 0:44:45, time: 0.195, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1899, decode.acc_seg: 92.1635, loss: 0.1899 +2023-03-05 10:25:13,740 - mmseg - INFO - Iter [148850/160000] lr: 1.172e-06, eta: 0:44:33, time: 0.193, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1846, decode.acc_seg: 92.5761, loss: 0.1846 +2023-03-05 10:25:23,414 - mmseg - INFO - Iter [148900/160000] lr: 1.172e-06, eta: 0:44:21, time: 0.193, data_time: 0.008, memory: 52540, decode.loss_ce: 0.1895, decode.acc_seg: 92.2777, loss: 0.1895 +2023-03-05 10:25:35,598 - mmseg - INFO - Iter [148950/160000] lr: 1.172e-06, eta: 0:44:09, time: 0.244, data_time: 0.055, memory: 52540, decode.loss_ce: 0.1765, decode.acc_seg: 92.7222, loss: 0.1765 +2023-03-05 10:25:45,450 - mmseg - INFO - Exp name: ablation_segformer_mit_b2_segformer_head_unet_fc_small_multi_step_ade_pretrained_freeze_embed_160k_ade20k151_mask_finetune_maskreplace.py +2023-03-05 10:25:45,451 - mmseg - INFO - Iter [149000/160000] lr: 1.172e-06, eta: 0:43:57, time: 0.197, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1854, decode.acc_seg: 92.3892, loss: 0.1854 +2023-03-05 10:25:55,367 - mmseg - INFO - Iter [149050/160000] lr: 1.172e-06, eta: 0:43:45, time: 0.198, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1863, decode.acc_seg: 92.3617, loss: 0.1863 +2023-03-05 10:26:05,277 - mmseg - INFO - Iter [149100/160000] lr: 1.172e-06, eta: 0:43:33, time: 0.198, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1784, decode.acc_seg: 92.6530, loss: 0.1784 +2023-03-05 10:26:14,913 - mmseg - INFO - Iter [149150/160000] lr: 1.172e-06, eta: 0:43:21, time: 0.193, data_time: 0.008, memory: 52540, decode.loss_ce: 0.1798, decode.acc_seg: 92.6344, loss: 0.1798 +2023-03-05 10:26:24,560 - mmseg - INFO - Iter [149200/160000] lr: 1.172e-06, eta: 0:43:08, time: 0.193, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1881, decode.acc_seg: 92.3169, loss: 0.1881 +2023-03-05 10:26:34,548 - mmseg - INFO - Iter [149250/160000] lr: 1.172e-06, eta: 0:42:56, time: 0.200, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1815, decode.acc_seg: 92.5412, loss: 0.1815 +2023-03-05 10:26:44,255 - mmseg - INFO - Iter [149300/160000] lr: 1.172e-06, eta: 0:42:44, time: 0.194, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1810, decode.acc_seg: 92.5551, loss: 0.1810 +2023-03-05 10:26:54,097 - mmseg - INFO - Iter [149350/160000] lr: 1.172e-06, eta: 0:42:32, time: 0.197, data_time: 0.008, memory: 52540, decode.loss_ce: 0.1814, decode.acc_seg: 92.7033, loss: 0.1814 +2023-03-05 10:27:03,708 - mmseg - INFO - Iter [149400/160000] lr: 1.172e-06, eta: 0:42:20, time: 0.192, data_time: 0.008, memory: 52540, decode.loss_ce: 0.1933, decode.acc_seg: 92.0333, loss: 0.1933 +2023-03-05 10:27:13,381 - mmseg - INFO - Iter [149450/160000] lr: 1.172e-06, eta: 0:42:08, time: 0.193, data_time: 0.008, memory: 52540, decode.loss_ce: 0.1868, decode.acc_seg: 92.3338, loss: 0.1868 +2023-03-05 10:27:23,058 - mmseg - INFO - Iter [149500/160000] lr: 1.172e-06, eta: 0:41:56, time: 0.194, data_time: 0.008, memory: 52540, decode.loss_ce: 0.1857, decode.acc_seg: 92.4242, loss: 0.1857 +2023-03-05 10:27:35,310 - mmseg - INFO - Iter [149550/160000] lr: 1.172e-06, eta: 0:41:44, time: 0.245, data_time: 0.055, memory: 52540, decode.loss_ce: 0.1808, decode.acc_seg: 92.5926, loss: 0.1808 +2023-03-05 10:27:45,196 - mmseg - INFO - Iter [149600/160000] lr: 1.172e-06, eta: 0:41:31, time: 0.198, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1782, decode.acc_seg: 92.5941, loss: 0.1782 +2023-03-05 10:27:54,724 - mmseg - INFO - Iter [149650/160000] lr: 1.172e-06, eta: 0:41:19, time: 0.191, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1744, decode.acc_seg: 92.7483, loss: 0.1744 +2023-03-05 10:28:04,407 - mmseg - INFO - Iter [149700/160000] lr: 1.172e-06, eta: 0:41:07, time: 0.194, data_time: 0.008, memory: 52540, decode.loss_ce: 0.1860, decode.acc_seg: 92.4387, loss: 0.1860 +2023-03-05 10:28:14,070 - mmseg - INFO - Iter [149750/160000] lr: 1.172e-06, eta: 0:40:55, time: 0.193, data_time: 0.008, memory: 52540, decode.loss_ce: 0.1863, decode.acc_seg: 92.4207, loss: 0.1863 +2023-03-05 10:28:23,698 - mmseg - INFO - Iter [149800/160000] lr: 1.172e-06, eta: 0:40:43, time: 0.193, data_time: 0.008, memory: 52540, decode.loss_ce: 0.1734, decode.acc_seg: 92.7045, loss: 0.1734 +2023-03-05 10:28:33,453 - mmseg - INFO - Iter [149850/160000] lr: 1.172e-06, eta: 0:40:31, time: 0.195, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1898, decode.acc_seg: 92.4040, loss: 0.1898 +2023-03-05 10:28:43,119 - mmseg - INFO - Iter [149900/160000] lr: 1.172e-06, eta: 0:40:19, time: 0.193, data_time: 0.008, memory: 52540, decode.loss_ce: 0.1858, decode.acc_seg: 92.4410, loss: 0.1858 +2023-03-05 10:28:52,977 - mmseg - INFO - Iter [149950/160000] lr: 1.172e-06, eta: 0:40:06, time: 0.197, data_time: 0.008, memory: 52540, decode.loss_ce: 0.1884, decode.acc_seg: 92.3629, loss: 0.1884 +2023-03-05 10:29:02,865 - mmseg - INFO - Exp name: ablation_segformer_mit_b2_segformer_head_unet_fc_small_multi_step_ade_pretrained_freeze_embed_160k_ade20k151_mask_finetune_maskreplace.py +2023-03-05 10:29:02,865 - mmseg - INFO - Iter [150000/160000] lr: 1.172e-06, eta: 0:39:54, time: 0.198, data_time: 0.008, memory: 52540, decode.loss_ce: 0.1916, decode.acc_seg: 92.3009, loss: 0.1916 +2023-03-05 10:29:12,779 - mmseg - INFO - Iter [150050/160000] lr: 1.172e-06, eta: 0:39:42, time: 0.199, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1798, decode.acc_seg: 92.7577, loss: 0.1798 +2023-03-05 10:29:22,465 - mmseg - INFO - Iter [150100/160000] lr: 1.172e-06, eta: 0:39:30, time: 0.194, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1834, decode.acc_seg: 92.3934, loss: 0.1834 +2023-03-05 10:29:32,072 - mmseg - INFO - Iter [150150/160000] lr: 1.172e-06, eta: 0:39:18, time: 0.192, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1973, decode.acc_seg: 92.0440, loss: 0.1973 +2023-03-05 10:29:44,303 - mmseg - INFO - Iter [150200/160000] lr: 1.172e-06, eta: 0:39:06, time: 0.245, data_time: 0.058, memory: 52540, decode.loss_ce: 0.1810, decode.acc_seg: 92.6011, loss: 0.1810 +2023-03-05 10:29:53,960 - mmseg - INFO - Iter [150250/160000] lr: 1.172e-06, eta: 0:38:54, time: 0.193, data_time: 0.008, memory: 52540, decode.loss_ce: 0.1867, decode.acc_seg: 92.3866, loss: 0.1867 +2023-03-05 10:30:03,900 - mmseg - INFO - Iter [150300/160000] lr: 1.172e-06, eta: 0:38:42, time: 0.199, data_time: 0.008, memory: 52540, decode.loss_ce: 0.1814, decode.acc_seg: 92.5635, loss: 0.1814 +2023-03-05 10:30:13,751 - mmseg - INFO - Iter [150350/160000] lr: 1.172e-06, eta: 0:38:30, time: 0.197, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1833, decode.acc_seg: 92.4564, loss: 0.1833 +2023-03-05 10:30:23,523 - mmseg - INFO - Iter [150400/160000] lr: 1.172e-06, eta: 0:38:18, time: 0.196, data_time: 0.008, memory: 52540, decode.loss_ce: 0.1872, decode.acc_seg: 92.5298, loss: 0.1872 +2023-03-05 10:30:33,453 - mmseg - INFO - Iter [150450/160000] lr: 1.172e-06, eta: 0:38:06, time: 0.199, data_time: 0.008, memory: 52540, decode.loss_ce: 0.1862, decode.acc_seg: 92.3007, loss: 0.1862 +2023-03-05 10:30:43,092 - mmseg - INFO - Iter [150500/160000] lr: 1.172e-06, eta: 0:37:53, time: 0.193, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1752, decode.acc_seg: 92.7426, loss: 0.1752 +2023-03-05 10:30:52,799 - mmseg - INFO - Iter [150550/160000] lr: 1.172e-06, eta: 0:37:41, time: 0.194, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1813, decode.acc_seg: 92.5212, loss: 0.1813 +2023-03-05 10:31:02,598 - mmseg - INFO - Iter [150600/160000] lr: 1.172e-06, eta: 0:37:29, time: 0.196, data_time: 0.008, memory: 52540, decode.loss_ce: 0.1927, decode.acc_seg: 92.2154, loss: 0.1927 +2023-03-05 10:31:12,195 - mmseg - INFO - Iter [150650/160000] lr: 1.172e-06, eta: 0:37:17, time: 0.192, data_time: 0.008, memory: 52540, decode.loss_ce: 0.1860, decode.acc_seg: 92.3568, loss: 0.1860 +2023-03-05 10:31:22,053 - mmseg - INFO - Iter [150700/160000] lr: 1.172e-06, eta: 0:37:05, time: 0.197, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1842, decode.acc_seg: 92.5229, loss: 0.1842 +2023-03-05 10:31:31,740 - mmseg - INFO - Iter [150750/160000] lr: 1.172e-06, eta: 0:36:53, time: 0.194, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1856, decode.acc_seg: 92.5030, loss: 0.1856 +2023-03-05 10:31:41,436 - mmseg - INFO - Iter [150800/160000] lr: 1.172e-06, eta: 0:36:41, time: 0.194, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1848, decode.acc_seg: 92.4321, loss: 0.1848 +2023-03-05 10:31:53,577 - mmseg - INFO - Iter [150850/160000] lr: 1.172e-06, eta: 0:36:29, time: 0.243, data_time: 0.057, memory: 52540, decode.loss_ce: 0.1883, decode.acc_seg: 92.2135, loss: 0.1883 +2023-03-05 10:32:03,324 - mmseg - INFO - Iter [150900/160000] lr: 1.172e-06, eta: 0:36:17, time: 0.195, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1869, decode.acc_seg: 92.4049, loss: 0.1869 +2023-03-05 10:32:12,865 - mmseg - INFO - Iter [150950/160000] lr: 1.172e-06, eta: 0:36:05, time: 0.191, data_time: 0.008, memory: 52540, decode.loss_ce: 0.1766, decode.acc_seg: 92.5220, loss: 0.1766 +2023-03-05 10:32:22,559 - mmseg - INFO - Exp name: ablation_segformer_mit_b2_segformer_head_unet_fc_small_multi_step_ade_pretrained_freeze_embed_160k_ade20k151_mask_finetune_maskreplace.py +2023-03-05 10:32:22,559 - mmseg - INFO - Iter [151000/160000] lr: 1.172e-06, eta: 0:35:53, time: 0.194, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1848, decode.acc_seg: 92.4819, loss: 0.1848 +2023-03-05 10:32:32,411 - mmseg - INFO - Iter [151050/160000] lr: 1.172e-06, eta: 0:35:40, time: 0.197, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1885, decode.acc_seg: 92.2630, loss: 0.1885 +2023-03-05 10:32:42,055 - mmseg - INFO - Iter [151100/160000] lr: 1.172e-06, eta: 0:35:28, time: 0.193, data_time: 0.008, memory: 52540, decode.loss_ce: 0.1828, decode.acc_seg: 92.4597, loss: 0.1828 +2023-03-05 10:32:52,131 - mmseg - INFO - Iter [151150/160000] lr: 1.172e-06, eta: 0:35:16, time: 0.202, data_time: 0.008, memory: 52540, decode.loss_ce: 0.1858, decode.acc_seg: 92.4211, loss: 0.1858 +2023-03-05 10:33:01,944 - mmseg - INFO - Iter [151200/160000] lr: 1.172e-06, eta: 0:35:04, time: 0.196, data_time: 0.008, memory: 52540, decode.loss_ce: 0.1799, decode.acc_seg: 92.6546, loss: 0.1799 +2023-03-05 10:33:11,720 - mmseg - INFO - Iter [151250/160000] lr: 1.172e-06, eta: 0:34:52, time: 0.196, data_time: 0.008, memory: 52540, decode.loss_ce: 0.1820, decode.acc_seg: 92.4142, loss: 0.1820 +2023-03-05 10:33:21,316 - mmseg - INFO - Iter [151300/160000] lr: 1.172e-06, eta: 0:34:40, time: 0.192, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1819, decode.acc_seg: 92.5571, loss: 0.1819 +2023-03-05 10:33:31,333 - mmseg - INFO - Iter [151350/160000] lr: 1.172e-06, eta: 0:34:28, time: 0.200, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1893, decode.acc_seg: 92.4480, loss: 0.1893 +2023-03-05 10:33:40,926 - mmseg - INFO - Iter [151400/160000] lr: 1.172e-06, eta: 0:34:16, time: 0.192, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1861, decode.acc_seg: 92.3723, loss: 0.1861 +2023-03-05 10:33:53,043 - mmseg - INFO - Iter [151450/160000] lr: 1.172e-06, eta: 0:34:04, time: 0.242, data_time: 0.055, memory: 52540, decode.loss_ce: 0.1847, decode.acc_seg: 92.4397, loss: 0.1847 +2023-03-05 10:34:02,602 - mmseg - INFO - Iter [151500/160000] lr: 1.172e-06, eta: 0:33:52, time: 0.191, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1795, decode.acc_seg: 92.6338, loss: 0.1795 +2023-03-05 10:34:12,131 - mmseg - INFO - Iter [151550/160000] lr: 1.172e-06, eta: 0:33:40, time: 0.191, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1797, decode.acc_seg: 92.6601, loss: 0.1797 +2023-03-05 10:34:21,673 - mmseg - INFO - Iter [151600/160000] lr: 1.172e-06, eta: 0:33:28, time: 0.191, data_time: 0.008, memory: 52540, decode.loss_ce: 0.1788, decode.acc_seg: 92.8038, loss: 0.1788 +2023-03-05 10:34:31,211 - mmseg - INFO - Iter [151650/160000] lr: 1.172e-06, eta: 0:33:16, time: 0.191, data_time: 0.008, memory: 52540, decode.loss_ce: 0.1875, decode.acc_seg: 92.2288, loss: 0.1875 +2023-03-05 10:34:40,934 - mmseg - INFO - Iter [151700/160000] lr: 1.172e-06, eta: 0:33:03, time: 0.194, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1761, decode.acc_seg: 92.5953, loss: 0.1761 +2023-03-05 10:34:50,581 - mmseg - INFO - Iter [151750/160000] lr: 1.172e-06, eta: 0:32:51, time: 0.193, data_time: 0.008, memory: 52540, decode.loss_ce: 0.1947, decode.acc_seg: 92.1776, loss: 0.1947 +2023-03-05 10:35:00,555 - mmseg - INFO - Iter [151800/160000] lr: 1.172e-06, eta: 0:32:39, time: 0.200, data_time: 0.008, memory: 52540, decode.loss_ce: 0.1843, decode.acc_seg: 92.5456, loss: 0.1843 +2023-03-05 10:35:10,461 - mmseg - INFO - Iter [151850/160000] lr: 1.172e-06, eta: 0:32:27, time: 0.198, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1844, decode.acc_seg: 92.4619, loss: 0.1844 +2023-03-05 10:35:20,074 - mmseg - INFO - Iter [151900/160000] lr: 1.172e-06, eta: 0:32:15, time: 0.192, data_time: 0.008, memory: 52540, decode.loss_ce: 0.1834, decode.acc_seg: 92.3957, loss: 0.1834 +2023-03-05 10:35:29,700 - mmseg - INFO - Iter [151950/160000] lr: 1.172e-06, eta: 0:32:03, time: 0.193, data_time: 0.008, memory: 52540, decode.loss_ce: 0.1839, decode.acc_seg: 92.4157, loss: 0.1839 +2023-03-05 10:35:39,599 - mmseg - INFO - Exp name: ablation_segformer_mit_b2_segformer_head_unet_fc_small_multi_step_ade_pretrained_freeze_embed_160k_ade20k151_mask_finetune_maskreplace.py +2023-03-05 10:35:39,599 - mmseg - INFO - Iter [152000/160000] lr: 1.172e-06, eta: 0:31:51, time: 0.198, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1828, decode.acc_seg: 92.3941, loss: 0.1828 +2023-03-05 10:35:49,363 - mmseg - INFO - Iter [152050/160000] lr: 1.172e-06, eta: 0:31:39, time: 0.195, data_time: 0.008, memory: 52540, decode.loss_ce: 0.1876, decode.acc_seg: 92.2533, loss: 0.1876 +2023-03-05 10:36:01,754 - mmseg - INFO - Iter [152100/160000] lr: 1.172e-06, eta: 0:31:27, time: 0.248, data_time: 0.057, memory: 52540, decode.loss_ce: 0.1901, decode.acc_seg: 92.2592, loss: 0.1901 +2023-03-05 10:36:11,442 - mmseg - INFO - Iter [152150/160000] lr: 1.172e-06, eta: 0:31:15, time: 0.194, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1825, decode.acc_seg: 92.4101, loss: 0.1825 +2023-03-05 10:36:21,002 - mmseg - INFO - Iter [152200/160000] lr: 1.172e-06, eta: 0:31:03, time: 0.191, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1857, decode.acc_seg: 92.3716, loss: 0.1857 +2023-03-05 10:36:30,684 - mmseg - INFO - Iter [152250/160000] lr: 1.172e-06, eta: 0:30:51, time: 0.194, data_time: 0.008, memory: 52540, decode.loss_ce: 0.1774, decode.acc_seg: 92.6156, loss: 0.1774 +2023-03-05 10:36:40,433 - mmseg - INFO - Iter [152300/160000] lr: 1.172e-06, eta: 0:30:39, time: 0.195, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1808, decode.acc_seg: 92.6041, loss: 0.1808 +2023-03-05 10:36:50,315 - mmseg - INFO - Iter [152350/160000] lr: 1.172e-06, eta: 0:30:27, time: 0.198, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1785, decode.acc_seg: 92.6862, loss: 0.1785 +2023-03-05 10:36:59,953 - mmseg - INFO - Iter [152400/160000] lr: 1.172e-06, eta: 0:30:15, time: 0.193, data_time: 0.008, memory: 52540, decode.loss_ce: 0.1823, decode.acc_seg: 92.5365, loss: 0.1823 +2023-03-05 10:37:10,025 - mmseg - INFO - Iter [152450/160000] lr: 1.172e-06, eta: 0:30:03, time: 0.201, data_time: 0.008, memory: 52540, decode.loss_ce: 0.1816, decode.acc_seg: 92.5463, loss: 0.1816 +2023-03-05 10:37:19,749 - mmseg - INFO - Iter [152500/160000] lr: 1.172e-06, eta: 0:29:51, time: 0.194, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1904, decode.acc_seg: 92.2135, loss: 0.1904 +2023-03-05 10:37:29,561 - mmseg - INFO - Iter [152550/160000] lr: 1.172e-06, eta: 0:29:39, time: 0.196, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1798, decode.acc_seg: 92.5448, loss: 0.1798 +2023-03-05 10:37:39,569 - mmseg - INFO - Iter [152600/160000] lr: 1.172e-06, eta: 0:29:27, time: 0.200, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1737, decode.acc_seg: 92.7367, loss: 0.1737 +2023-03-05 10:37:49,360 - mmseg - INFO - Iter [152650/160000] lr: 1.172e-06, eta: 0:29:15, time: 0.196, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1769, decode.acc_seg: 92.7061, loss: 0.1769 +2023-03-05 10:37:59,020 - mmseg - INFO - Iter [152700/160000] lr: 1.172e-06, eta: 0:29:02, time: 0.193, data_time: 0.008, memory: 52540, decode.loss_ce: 0.1813, decode.acc_seg: 92.5310, loss: 0.1813 +2023-03-05 10:38:11,245 - mmseg - INFO - Iter [152750/160000] lr: 1.172e-06, eta: 0:28:51, time: 0.244, data_time: 0.056, memory: 52540, decode.loss_ce: 0.1742, decode.acc_seg: 92.7916, loss: 0.1742 +2023-03-05 10:38:20,980 - mmseg - INFO - Iter [152800/160000] lr: 1.172e-06, eta: 0:28:39, time: 0.195, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1810, decode.acc_seg: 92.5020, loss: 0.1810 +2023-03-05 10:38:30,619 - mmseg - INFO - Iter [152850/160000] lr: 1.172e-06, eta: 0:28:26, time: 0.193, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1770, decode.acc_seg: 92.6663, loss: 0.1770 +2023-03-05 10:38:40,607 - mmseg - INFO - Iter [152900/160000] lr: 1.172e-06, eta: 0:28:14, time: 0.200, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1893, decode.acc_seg: 92.3486, loss: 0.1893 +2023-03-05 10:38:50,186 - mmseg - INFO - Iter [152950/160000] lr: 1.172e-06, eta: 0:28:02, time: 0.192, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1719, decode.acc_seg: 92.9203, loss: 0.1719 +2023-03-05 10:38:59,871 - mmseg - INFO - Exp name: ablation_segformer_mit_b2_segformer_head_unet_fc_small_multi_step_ade_pretrained_freeze_embed_160k_ade20k151_mask_finetune_maskreplace.py +2023-03-05 10:38:59,871 - mmseg - INFO - Iter [153000/160000] lr: 1.172e-06, eta: 0:27:50, time: 0.194, data_time: 0.008, memory: 52540, decode.loss_ce: 0.1794, decode.acc_seg: 92.6345, loss: 0.1794 +2023-03-05 10:39:09,542 - mmseg - INFO - Iter [153050/160000] lr: 1.172e-06, eta: 0:27:38, time: 0.193, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1872, decode.acc_seg: 92.3952, loss: 0.1872 +2023-03-05 10:39:19,130 - mmseg - INFO - Iter [153100/160000] lr: 1.172e-06, eta: 0:27:26, time: 0.192, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1835, decode.acc_seg: 92.5129, loss: 0.1835 +2023-03-05 10:39:29,069 - mmseg - INFO - Iter [153150/160000] lr: 1.172e-06, eta: 0:27:14, time: 0.199, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1815, decode.acc_seg: 92.7348, loss: 0.1815 +2023-03-05 10:39:38,772 - mmseg - INFO - Iter [153200/160000] lr: 1.172e-06, eta: 0:27:02, time: 0.194, data_time: 0.008, memory: 52540, decode.loss_ce: 0.1918, decode.acc_seg: 92.2120, loss: 0.1918 +2023-03-05 10:39:48,332 - mmseg - INFO - Iter [153250/160000] lr: 1.172e-06, eta: 0:26:50, time: 0.191, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1841, decode.acc_seg: 92.3725, loss: 0.1841 +2023-03-05 10:39:58,060 - mmseg - INFO - Iter [153300/160000] lr: 1.172e-06, eta: 0:26:38, time: 0.195, data_time: 0.008, memory: 52540, decode.loss_ce: 0.1877, decode.acc_seg: 92.3534, loss: 0.1877 +2023-03-05 10:40:10,198 - mmseg - INFO - Iter [153350/160000] lr: 1.172e-06, eta: 0:26:26, time: 0.243, data_time: 0.056, memory: 52540, decode.loss_ce: 0.1857, decode.acc_seg: 92.3091, loss: 0.1857 +2023-03-05 10:40:19,759 - mmseg - INFO - Iter [153400/160000] lr: 1.172e-06, eta: 0:26:14, time: 0.191, data_time: 0.008, memory: 52540, decode.loss_ce: 0.1744, decode.acc_seg: 92.7501, loss: 0.1744 +2023-03-05 10:40:29,541 - mmseg - INFO - Iter [153450/160000] lr: 1.172e-06, eta: 0:26:02, time: 0.196, data_time: 0.008, memory: 52540, decode.loss_ce: 0.1779, decode.acc_seg: 92.7505, loss: 0.1779 +2023-03-05 10:40:39,566 - mmseg - INFO - Iter [153500/160000] lr: 1.172e-06, eta: 0:25:50, time: 0.201, data_time: 0.008, memory: 52540, decode.loss_ce: 0.1850, decode.acc_seg: 92.4546, loss: 0.1850 +2023-03-05 10:40:49,369 - mmseg - INFO - Iter [153550/160000] lr: 1.172e-06, eta: 0:25:38, time: 0.196, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1906, decode.acc_seg: 92.2345, loss: 0.1906 +2023-03-05 10:40:59,121 - mmseg - INFO - Iter [153600/160000] lr: 1.172e-06, eta: 0:25:26, time: 0.195, data_time: 0.008, memory: 52540, decode.loss_ce: 0.1883, decode.acc_seg: 92.2520, loss: 0.1883 +2023-03-05 10:41:08,673 - mmseg - INFO - Iter [153650/160000] lr: 1.172e-06, eta: 0:25:14, time: 0.191, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1831, decode.acc_seg: 92.4188, loss: 0.1831 +2023-03-05 10:41:18,191 - mmseg - INFO - Iter [153700/160000] lr: 1.172e-06, eta: 0:25:02, time: 0.190, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1829, decode.acc_seg: 92.5597, loss: 0.1829 +2023-03-05 10:41:28,026 - mmseg - INFO - Iter [153750/160000] lr: 1.172e-06, eta: 0:24:50, time: 0.197, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1791, decode.acc_seg: 92.6536, loss: 0.1791 +2023-03-05 10:41:37,876 - mmseg - INFO - Iter [153800/160000] lr: 1.172e-06, eta: 0:24:38, time: 0.197, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1790, decode.acc_seg: 92.5325, loss: 0.1790 +2023-03-05 10:41:47,540 - mmseg - INFO - Iter [153850/160000] lr: 1.172e-06, eta: 0:24:26, time: 0.194, data_time: 0.008, memory: 52540, decode.loss_ce: 0.1918, decode.acc_seg: 92.2264, loss: 0.1918 +2023-03-05 10:41:57,086 - mmseg - INFO - Iter [153900/160000] lr: 1.172e-06, eta: 0:24:14, time: 0.191, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1847, decode.acc_seg: 92.3878, loss: 0.1847 +2023-03-05 10:42:06,748 - mmseg - INFO - Iter [153950/160000] lr: 1.172e-06, eta: 0:24:02, time: 0.193, data_time: 0.008, memory: 52540, decode.loss_ce: 0.1771, decode.acc_seg: 92.6984, loss: 0.1771 +2023-03-05 10:42:18,831 - mmseg - INFO - Exp name: ablation_segformer_mit_b2_segformer_head_unet_fc_small_multi_step_ade_pretrained_freeze_embed_160k_ade20k151_mask_finetune_maskreplace.py +2023-03-05 10:42:18,832 - mmseg - INFO - Iter [154000/160000] lr: 1.172e-06, eta: 0:23:50, time: 0.242, data_time: 0.055, memory: 52540, decode.loss_ce: 0.1822, decode.acc_seg: 92.5764, loss: 0.1822 +2023-03-05 10:42:28,766 - mmseg - INFO - Iter [154050/160000] lr: 1.172e-06, eta: 0:23:38, time: 0.199, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1833, decode.acc_seg: 92.4890, loss: 0.1833 +2023-03-05 10:42:39,035 - mmseg - INFO - Iter [154100/160000] lr: 1.172e-06, eta: 0:23:26, time: 0.205, data_time: 0.008, memory: 52540, decode.loss_ce: 0.1828, decode.acc_seg: 92.5639, loss: 0.1828 +2023-03-05 10:42:49,032 - mmseg - INFO - Iter [154150/160000] lr: 1.172e-06, eta: 0:23:14, time: 0.200, data_time: 0.008, memory: 52540, decode.loss_ce: 0.1791, decode.acc_seg: 92.6122, loss: 0.1791 +2023-03-05 10:42:58,643 - mmseg - INFO - Iter [154200/160000] lr: 1.172e-06, eta: 0:23:02, time: 0.192, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1832, decode.acc_seg: 92.3546, loss: 0.1832 +2023-03-05 10:43:08,307 - mmseg - INFO - Iter [154250/160000] lr: 1.172e-06, eta: 0:22:50, time: 0.194, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1870, decode.acc_seg: 92.3029, loss: 0.1870 +2023-03-05 10:43:18,147 - mmseg - INFO - Iter [154300/160000] lr: 1.172e-06, eta: 0:22:38, time: 0.197, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1849, decode.acc_seg: 92.4917, loss: 0.1849 +2023-03-05 10:43:27,949 - mmseg - INFO - Iter [154350/160000] lr: 1.172e-06, eta: 0:22:26, time: 0.196, data_time: 0.008, memory: 52540, decode.loss_ce: 0.1766, decode.acc_seg: 92.6761, loss: 0.1766 +2023-03-05 10:43:38,169 - mmseg - INFO - Iter [154400/160000] lr: 1.172e-06, eta: 0:22:14, time: 0.204, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1874, decode.acc_seg: 92.3300, loss: 0.1874 +2023-03-05 10:43:47,940 - mmseg - INFO - Iter [154450/160000] lr: 1.172e-06, eta: 0:22:02, time: 0.195, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1789, decode.acc_seg: 92.5621, loss: 0.1789 +2023-03-05 10:43:57,636 - mmseg - INFO - Iter [154500/160000] lr: 1.172e-06, eta: 0:21:50, time: 0.194, data_time: 0.008, memory: 52540, decode.loss_ce: 0.1784, decode.acc_seg: 92.7900, loss: 0.1784 +2023-03-05 10:44:07,330 - mmseg - INFO - Iter [154550/160000] lr: 1.172e-06, eta: 0:21:38, time: 0.194, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1859, decode.acc_seg: 92.2444, loss: 0.1859 +2023-03-05 10:44:19,515 - mmseg - INFO - Iter [154600/160000] lr: 1.172e-06, eta: 0:21:26, time: 0.244, data_time: 0.054, memory: 52540, decode.loss_ce: 0.1846, decode.acc_seg: 92.3902, loss: 0.1846 +2023-03-05 10:44:29,195 - mmseg - INFO - Iter [154650/160000] lr: 1.172e-06, eta: 0:21:14, time: 0.194, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1763, decode.acc_seg: 92.6317, loss: 0.1763 +2023-03-05 10:44:38,828 - mmseg - INFO - Iter [154700/160000] lr: 1.172e-06, eta: 0:21:02, time: 0.193, data_time: 0.008, memory: 52540, decode.loss_ce: 0.1794, decode.acc_seg: 92.5189, loss: 0.1794 +2023-03-05 10:44:48,723 - mmseg - INFO - Iter [154750/160000] lr: 1.172e-06, eta: 0:20:50, time: 0.198, data_time: 0.008, memory: 52540, decode.loss_ce: 0.1864, decode.acc_seg: 92.4263, loss: 0.1864 +2023-03-05 10:44:58,365 - mmseg - INFO - Iter [154800/160000] lr: 1.172e-06, eta: 0:20:38, time: 0.193, data_time: 0.008, memory: 52540, decode.loss_ce: 0.1843, decode.acc_seg: 92.4422, loss: 0.1843 +2023-03-05 10:45:08,005 - mmseg - INFO - Iter [154850/160000] lr: 1.172e-06, eta: 0:20:26, time: 0.193, data_time: 0.008, memory: 52540, decode.loss_ce: 0.1816, decode.acc_seg: 92.5484, loss: 0.1816 +2023-03-05 10:45:17,660 - mmseg - INFO - Iter [154900/160000] lr: 1.172e-06, eta: 0:20:14, time: 0.193, data_time: 0.008, memory: 52540, decode.loss_ce: 0.1836, decode.acc_seg: 92.4426, loss: 0.1836 +2023-03-05 10:45:27,311 - mmseg - INFO - Iter [154950/160000] lr: 1.172e-06, eta: 0:20:02, time: 0.193, data_time: 0.008, memory: 52540, decode.loss_ce: 0.1756, decode.acc_seg: 92.6835, loss: 0.1756 +2023-03-05 10:45:36,958 - mmseg - INFO - Exp name: ablation_segformer_mit_b2_segformer_head_unet_fc_small_multi_step_ade_pretrained_freeze_embed_160k_ade20k151_mask_finetune_maskreplace.py +2023-03-05 10:45:36,958 - mmseg - INFO - Iter [155000/160000] lr: 1.172e-06, eta: 0:19:50, time: 0.193, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1862, decode.acc_seg: 92.5234, loss: 0.1862 +2023-03-05 10:45:46,582 - mmseg - INFO - Iter [155050/160000] lr: 1.172e-06, eta: 0:19:38, time: 0.193, data_time: 0.008, memory: 52540, decode.loss_ce: 0.1843, decode.acc_seg: 92.3729, loss: 0.1843 +2023-03-05 10:45:56,542 - mmseg - INFO - Iter [155100/160000] lr: 1.172e-06, eta: 0:19:26, time: 0.199, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1829, decode.acc_seg: 92.6047, loss: 0.1829 +2023-03-05 10:46:06,334 - mmseg - INFO - Iter [155150/160000] lr: 1.172e-06, eta: 0:19:14, time: 0.196, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1784, decode.acc_seg: 92.6530, loss: 0.1784 +2023-03-05 10:46:16,129 - mmseg - INFO - Iter [155200/160000] lr: 1.172e-06, eta: 0:19:02, time: 0.196, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1796, decode.acc_seg: 92.5990, loss: 0.1796 +2023-03-05 10:46:28,500 - mmseg - INFO - Iter [155250/160000] lr: 1.172e-06, eta: 0:18:51, time: 0.248, data_time: 0.057, memory: 52540, decode.loss_ce: 0.1857, decode.acc_seg: 92.2723, loss: 0.1857 +2023-03-05 10:46:38,357 - mmseg - INFO - Iter [155300/160000] lr: 1.172e-06, eta: 0:18:39, time: 0.197, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1848, decode.acc_seg: 92.3570, loss: 0.1848 +2023-03-05 10:46:48,058 - mmseg - INFO - Iter [155350/160000] lr: 1.172e-06, eta: 0:18:27, time: 0.194, data_time: 0.008, memory: 52540, decode.loss_ce: 0.1765, decode.acc_seg: 92.6044, loss: 0.1765 +2023-03-05 10:46:57,804 - mmseg - INFO - Iter [155400/160000] lr: 1.172e-06, eta: 0:18:15, time: 0.195, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1872, decode.acc_seg: 92.3318, loss: 0.1872 +2023-03-05 10:47:07,582 - mmseg - INFO - Iter [155450/160000] lr: 1.172e-06, eta: 0:18:03, time: 0.195, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1763, decode.acc_seg: 92.7178, loss: 0.1763 +2023-03-05 10:47:17,325 - mmseg - INFO - Iter [155500/160000] lr: 1.172e-06, eta: 0:17:51, time: 0.195, data_time: 0.008, memory: 52540, decode.loss_ce: 0.1810, decode.acc_seg: 92.6620, loss: 0.1810 +2023-03-05 10:47:27,193 - mmseg - INFO - Iter [155550/160000] lr: 1.172e-06, eta: 0:17:39, time: 0.197, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1785, decode.acc_seg: 92.6715, loss: 0.1785 +2023-03-05 10:47:36,790 - mmseg - INFO - Iter [155600/160000] lr: 1.172e-06, eta: 0:17:27, time: 0.192, data_time: 0.008, memory: 52540, decode.loss_ce: 0.1838, decode.acc_seg: 92.4728, loss: 0.1838 +2023-03-05 10:47:46,512 - mmseg - INFO - Iter [155650/160000] lr: 1.172e-06, eta: 0:17:15, time: 0.194, data_time: 0.008, memory: 52540, decode.loss_ce: 0.1871, decode.acc_seg: 92.1940, loss: 0.1871 +2023-03-05 10:47:56,086 - mmseg - INFO - Iter [155700/160000] lr: 1.172e-06, eta: 0:17:03, time: 0.191, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1772, decode.acc_seg: 92.5777, loss: 0.1772 +2023-03-05 10:48:06,024 - mmseg - INFO - Iter [155750/160000] lr: 1.172e-06, eta: 0:16:51, time: 0.199, data_time: 0.008, memory: 52540, decode.loss_ce: 0.1859, decode.acc_seg: 92.2945, loss: 0.1859 +2023-03-05 10:48:15,858 - mmseg - INFO - Iter [155800/160000] lr: 1.172e-06, eta: 0:16:39, time: 0.197, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1880, decode.acc_seg: 92.4243, loss: 0.1880 +2023-03-05 10:48:25,506 - mmseg - INFO - Iter [155850/160000] lr: 1.172e-06, eta: 0:16:27, time: 0.193, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1880, decode.acc_seg: 92.3256, loss: 0.1880 +2023-03-05 10:48:37,643 - mmseg - INFO - Iter [155900/160000] lr: 1.172e-06, eta: 0:16:15, time: 0.243, data_time: 0.057, memory: 52540, decode.loss_ce: 0.1829, decode.acc_seg: 92.5300, loss: 0.1829 +2023-03-05 10:48:47,504 - mmseg - INFO - Iter [155950/160000] lr: 1.172e-06, eta: 0:16:03, time: 0.197, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1778, decode.acc_seg: 92.6957, loss: 0.1778 +2023-03-05 10:48:57,037 - mmseg - INFO - Exp name: ablation_segformer_mit_b2_segformer_head_unet_fc_small_multi_step_ade_pretrained_freeze_embed_160k_ade20k151_mask_finetune_maskreplace.py +2023-03-05 10:48:57,038 - mmseg - INFO - Iter [156000/160000] lr: 1.172e-06, eta: 0:15:51, time: 0.191, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1861, decode.acc_seg: 92.3864, loss: 0.1861 +2023-03-05 10:49:06,978 - mmseg - INFO - Iter [156050/160000] lr: 1.172e-06, eta: 0:15:39, time: 0.199, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1873, decode.acc_seg: 92.4115, loss: 0.1873 +2023-03-05 10:49:16,798 - mmseg - INFO - Iter [156100/160000] lr: 1.172e-06, eta: 0:15:27, time: 0.196, data_time: 0.008, memory: 52540, decode.loss_ce: 0.1769, decode.acc_seg: 92.6064, loss: 0.1769 +2023-03-05 10:49:26,391 - mmseg - INFO - Iter [156150/160000] lr: 1.172e-06, eta: 0:15:15, time: 0.192, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1892, decode.acc_seg: 92.2049, loss: 0.1892 +2023-03-05 10:49:36,002 - mmseg - INFO - Iter [156200/160000] lr: 1.172e-06, eta: 0:15:03, time: 0.192, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1792, decode.acc_seg: 92.4416, loss: 0.1792 +2023-03-05 10:49:45,758 - mmseg - INFO - Iter [156250/160000] lr: 1.172e-06, eta: 0:14:51, time: 0.195, data_time: 0.008, memory: 52540, decode.loss_ce: 0.1842, decode.acc_seg: 92.4201, loss: 0.1842 +2023-03-05 10:49:55,298 - mmseg - INFO - Iter [156300/160000] lr: 1.172e-06, eta: 0:14:40, time: 0.191, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1784, decode.acc_seg: 92.6226, loss: 0.1784 +2023-03-05 10:50:05,118 - mmseg - INFO - Iter [156350/160000] lr: 1.172e-06, eta: 0:14:28, time: 0.196, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1779, decode.acc_seg: 92.6297, loss: 0.1779 +2023-03-05 10:50:14,761 - mmseg - INFO - Iter [156400/160000] lr: 1.172e-06, eta: 0:14:16, time: 0.193, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1841, decode.acc_seg: 92.3165, loss: 0.1841 +2023-03-05 10:50:24,478 - mmseg - INFO - Iter [156450/160000] lr: 1.172e-06, eta: 0:14:04, time: 0.194, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1804, decode.acc_seg: 92.5838, loss: 0.1804 +2023-03-05 10:50:36,826 - mmseg - INFO - Iter [156500/160000] lr: 1.172e-06, eta: 0:13:52, time: 0.247, data_time: 0.055, memory: 52540, decode.loss_ce: 0.1817, decode.acc_seg: 92.4986, loss: 0.1817 +2023-03-05 10:50:46,455 - mmseg - INFO - Iter [156550/160000] lr: 1.172e-06, eta: 0:13:40, time: 0.193, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1846, decode.acc_seg: 92.3519, loss: 0.1846 +2023-03-05 10:50:56,192 - mmseg - INFO - Iter [156600/160000] lr: 1.172e-06, eta: 0:13:28, time: 0.195, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1818, decode.acc_seg: 92.4406, loss: 0.1818 +2023-03-05 10:51:05,834 - mmseg - INFO - Iter [156650/160000] lr: 1.172e-06, eta: 0:13:16, time: 0.193, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1907, decode.acc_seg: 92.1770, loss: 0.1907 +2023-03-05 10:51:15,435 - mmseg - INFO - Iter [156700/160000] lr: 1.172e-06, eta: 0:13:04, time: 0.192, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1805, decode.acc_seg: 92.5147, loss: 0.1805 +2023-03-05 10:51:25,142 - mmseg - INFO - Iter [156750/160000] lr: 1.172e-06, eta: 0:12:52, time: 0.194, data_time: 0.008, memory: 52540, decode.loss_ce: 0.1825, decode.acc_seg: 92.4803, loss: 0.1825 +2023-03-05 10:51:34,850 - mmseg - INFO - Iter [156800/160000] lr: 1.172e-06, eta: 0:12:40, time: 0.194, data_time: 0.008, memory: 52540, decode.loss_ce: 0.1812, decode.acc_seg: 92.4697, loss: 0.1812 +2023-03-05 10:51:44,567 - mmseg - INFO - Iter [156850/160000] lr: 1.172e-06, eta: 0:12:28, time: 0.194, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1859, decode.acc_seg: 92.5230, loss: 0.1859 +2023-03-05 10:51:54,606 - mmseg - INFO - Iter [156900/160000] lr: 1.172e-06, eta: 0:12:16, time: 0.201, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1844, decode.acc_seg: 92.3032, loss: 0.1844 +2023-03-05 10:52:04,501 - mmseg - INFO - Iter [156950/160000] lr: 1.172e-06, eta: 0:12:04, time: 0.198, data_time: 0.008, memory: 52540, decode.loss_ce: 0.1777, decode.acc_seg: 92.7905, loss: 0.1777 +2023-03-05 10:52:14,567 - mmseg - INFO - Exp name: ablation_segformer_mit_b2_segformer_head_unet_fc_small_multi_step_ade_pretrained_freeze_embed_160k_ade20k151_mask_finetune_maskreplace.py +2023-03-05 10:52:14,567 - mmseg - INFO - Iter [157000/160000] lr: 1.172e-06, eta: 0:11:53, time: 0.202, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1814, decode.acc_seg: 92.6021, loss: 0.1814 +2023-03-05 10:52:24,097 - mmseg - INFO - Iter [157050/160000] lr: 1.172e-06, eta: 0:11:41, time: 0.191, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1790, decode.acc_seg: 92.6313, loss: 0.1790 +2023-03-05 10:52:33,950 - mmseg - INFO - Iter [157100/160000] lr: 1.172e-06, eta: 0:11:29, time: 0.197, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1842, decode.acc_seg: 92.3699, loss: 0.1842 +2023-03-05 10:52:46,167 - mmseg - INFO - Iter [157150/160000] lr: 1.172e-06, eta: 0:11:17, time: 0.245, data_time: 0.057, memory: 52540, decode.loss_ce: 0.1863, decode.acc_seg: 92.3258, loss: 0.1863 +2023-03-05 10:52:55,974 - mmseg - INFO - Iter [157200/160000] lr: 1.172e-06, eta: 0:11:05, time: 0.196, data_time: 0.008, memory: 52540, decode.loss_ce: 0.1795, decode.acc_seg: 92.7361, loss: 0.1795 +2023-03-05 10:53:05,545 - mmseg - INFO - Iter [157250/160000] lr: 1.172e-06, eta: 0:10:53, time: 0.191, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1833, decode.acc_seg: 92.4261, loss: 0.1833 +2023-03-05 10:53:15,105 - mmseg - INFO - Iter [157300/160000] lr: 1.172e-06, eta: 0:10:41, time: 0.191, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1842, decode.acc_seg: 92.5249, loss: 0.1842 +2023-03-05 10:53:24,721 - mmseg - INFO - Iter [157350/160000] lr: 1.172e-06, eta: 0:10:29, time: 0.192, data_time: 0.008, memory: 52540, decode.loss_ce: 0.1817, decode.acc_seg: 92.5396, loss: 0.1817 +2023-03-05 10:53:34,461 - mmseg - INFO - Iter [157400/160000] lr: 1.172e-06, eta: 0:10:17, time: 0.195, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1816, decode.acc_seg: 92.4961, loss: 0.1816 +2023-03-05 10:53:44,449 - mmseg - INFO - Iter [157450/160000] lr: 1.172e-06, eta: 0:10:05, time: 0.200, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1865, decode.acc_seg: 92.3307, loss: 0.1865 +2023-03-05 10:53:54,080 - mmseg - INFO - Iter [157500/160000] lr: 1.172e-06, eta: 0:09:53, time: 0.193, data_time: 0.008, memory: 52540, decode.loss_ce: 0.1812, decode.acc_seg: 92.6254, loss: 0.1812 +2023-03-05 10:54:03,792 - mmseg - INFO - Iter [157550/160000] lr: 1.172e-06, eta: 0:09:41, time: 0.194, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1802, decode.acc_seg: 92.6017, loss: 0.1802 +2023-03-05 10:54:13,450 - mmseg - INFO - Iter [157600/160000] lr: 1.172e-06, eta: 0:09:30, time: 0.193, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1833, decode.acc_seg: 92.6061, loss: 0.1833 +2023-03-05 10:54:23,145 - mmseg - INFO - Iter [157650/160000] lr: 1.172e-06, eta: 0:09:18, time: 0.194, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1775, decode.acc_seg: 92.5739, loss: 0.1775 +2023-03-05 10:54:32,866 - mmseg - INFO - Iter [157700/160000] lr: 1.172e-06, eta: 0:09:06, time: 0.194, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1828, decode.acc_seg: 92.4100, loss: 0.1828 +2023-03-05 10:54:42,450 - mmseg - INFO - Iter [157750/160000] lr: 1.172e-06, eta: 0:08:54, time: 0.192, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1850, decode.acc_seg: 92.4596, loss: 0.1850 +2023-03-05 10:54:54,855 - mmseg - INFO - Iter [157800/160000] lr: 1.172e-06, eta: 0:08:42, time: 0.248, data_time: 0.053, memory: 52540, decode.loss_ce: 0.1774, decode.acc_seg: 92.6800, loss: 0.1774 +2023-03-05 10:55:04,784 - mmseg - INFO - Iter [157850/160000] lr: 1.172e-06, eta: 0:08:30, time: 0.199, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1904, decode.acc_seg: 92.1484, loss: 0.1904 +2023-03-05 10:55:14,517 - mmseg - INFO - Iter [157900/160000] lr: 1.172e-06, eta: 0:08:18, time: 0.195, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1843, decode.acc_seg: 92.3340, loss: 0.1843 +2023-03-05 10:55:24,103 - mmseg - INFO - Iter [157950/160000] lr: 1.172e-06, eta: 0:08:06, time: 0.192, data_time: 0.008, memory: 52540, decode.loss_ce: 0.1869, decode.acc_seg: 92.2860, loss: 0.1869 +2023-03-05 10:55:33,707 - mmseg - INFO - Exp name: ablation_segformer_mit_b2_segformer_head_unet_fc_small_multi_step_ade_pretrained_freeze_embed_160k_ade20k151_mask_finetune_maskreplace.py +2023-03-05 10:55:33,707 - mmseg - INFO - Iter [158000/160000] lr: 1.172e-06, eta: 0:07:54, time: 0.192, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1845, decode.acc_seg: 92.4488, loss: 0.1845 +2023-03-05 10:55:43,607 - mmseg - INFO - Iter [158050/160000] lr: 1.172e-06, eta: 0:07:42, time: 0.198, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1823, decode.acc_seg: 92.4701, loss: 0.1823 +2023-03-05 10:55:53,414 - mmseg - INFO - Iter [158100/160000] lr: 1.172e-06, eta: 0:07:31, time: 0.196, data_time: 0.008, memory: 52540, decode.loss_ce: 0.1814, decode.acc_seg: 92.5185, loss: 0.1814 +2023-03-05 10:56:03,762 - mmseg - INFO - Iter [158150/160000] lr: 1.172e-06, eta: 0:07:19, time: 0.207, data_time: 0.008, memory: 52540, decode.loss_ce: 0.1788, decode.acc_seg: 92.6644, loss: 0.1788 +2023-03-05 10:56:13,908 - mmseg - INFO - Iter [158200/160000] lr: 1.172e-06, eta: 0:07:07, time: 0.203, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1885, decode.acc_seg: 92.3172, loss: 0.1885 +2023-03-05 10:56:23,497 - mmseg - INFO - Iter [158250/160000] lr: 1.172e-06, eta: 0:06:55, time: 0.192, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1826, decode.acc_seg: 92.5792, loss: 0.1826 +2023-03-05 10:56:33,357 - mmseg - INFO - Iter [158300/160000] lr: 1.172e-06, eta: 0:06:43, time: 0.197, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1803, decode.acc_seg: 92.5205, loss: 0.1803 +2023-03-05 10:56:43,064 - mmseg - INFO - Iter [158350/160000] lr: 1.172e-06, eta: 0:06:31, time: 0.194, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1892, decode.acc_seg: 92.1608, loss: 0.1892 +2023-03-05 10:56:55,178 - mmseg - INFO - Iter [158400/160000] lr: 1.172e-06, eta: 0:06:19, time: 0.242, data_time: 0.057, memory: 52540, decode.loss_ce: 0.1760, decode.acc_seg: 92.6382, loss: 0.1760 +2023-03-05 10:57:04,989 - mmseg - INFO - Iter [158450/160000] lr: 1.172e-06, eta: 0:06:07, time: 0.196, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1827, decode.acc_seg: 92.4788, loss: 0.1827 +2023-03-05 10:57:14,788 - mmseg - INFO - Iter [158500/160000] lr: 1.172e-06, eta: 0:05:55, time: 0.196, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1825, decode.acc_seg: 92.5674, loss: 0.1825 +2023-03-05 10:57:24,982 - mmseg - INFO - Iter [158550/160000] lr: 1.172e-06, eta: 0:05:44, time: 0.204, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1854, decode.acc_seg: 92.5189, loss: 0.1854 +2023-03-05 10:57:34,549 - mmseg - INFO - Iter [158600/160000] lr: 1.172e-06, eta: 0:05:32, time: 0.191, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1821, decode.acc_seg: 92.5560, loss: 0.1821 +2023-03-05 10:57:44,095 - mmseg - INFO - Iter [158650/160000] lr: 1.172e-06, eta: 0:05:20, time: 0.191, data_time: 0.008, memory: 52540, decode.loss_ce: 0.1925, decode.acc_seg: 92.2663, loss: 0.1925 +2023-03-05 10:57:53,763 - mmseg - INFO - Iter [158700/160000] lr: 1.172e-06, eta: 0:05:08, time: 0.193, data_time: 0.008, memory: 52540, decode.loss_ce: 0.1775, decode.acc_seg: 92.7184, loss: 0.1775 +2023-03-05 10:58:03,671 - mmseg - INFO - Iter [158750/160000] lr: 1.172e-06, eta: 0:04:56, time: 0.198, data_time: 0.008, memory: 52540, decode.loss_ce: 0.1822, decode.acc_seg: 92.4409, loss: 0.1822 +2023-03-05 10:58:13,347 - mmseg - INFO - Iter [158800/160000] lr: 1.172e-06, eta: 0:04:44, time: 0.194, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1809, decode.acc_seg: 92.5227, loss: 0.1809 +2023-03-05 10:58:22,982 - mmseg - INFO - Iter [158850/160000] lr: 1.172e-06, eta: 0:04:32, time: 0.193, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1834, decode.acc_seg: 92.5022, loss: 0.1834 +2023-03-05 10:58:32,603 - mmseg - INFO - Iter [158900/160000] lr: 1.172e-06, eta: 0:04:20, time: 0.192, data_time: 0.008, memory: 52540, decode.loss_ce: 0.1822, decode.acc_seg: 92.5591, loss: 0.1822 +2023-03-05 10:58:42,476 - mmseg - INFO - Iter [158950/160000] lr: 1.172e-06, eta: 0:04:09, time: 0.197, data_time: 0.008, memory: 52540, decode.loss_ce: 0.1837, decode.acc_seg: 92.4707, loss: 0.1837 +2023-03-05 10:58:52,121 - mmseg - INFO - Exp name: ablation_segformer_mit_b2_segformer_head_unet_fc_small_multi_step_ade_pretrained_freeze_embed_160k_ade20k151_mask_finetune_maskreplace.py +2023-03-05 10:58:52,122 - mmseg - INFO - Iter [159000/160000] lr: 1.172e-06, eta: 0:03:57, time: 0.193, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1807, decode.acc_seg: 92.5440, loss: 0.1807 +2023-03-05 10:59:04,360 - mmseg - INFO - Iter [159050/160000] lr: 1.172e-06, eta: 0:03:45, time: 0.245, data_time: 0.054, memory: 52540, decode.loss_ce: 0.1850, decode.acc_seg: 92.5350, loss: 0.1850 +2023-03-05 10:59:14,089 - mmseg - INFO - Iter [159100/160000] lr: 1.172e-06, eta: 0:03:33, time: 0.195, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1879, decode.acc_seg: 92.1987, loss: 0.1879 +2023-03-05 10:59:24,222 - mmseg - INFO - Iter [159150/160000] lr: 1.172e-06, eta: 0:03:21, time: 0.202, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1895, decode.acc_seg: 92.1043, loss: 0.1895 +2023-03-05 10:59:34,030 - mmseg - INFO - Iter [159200/160000] lr: 1.172e-06, eta: 0:03:09, time: 0.196, data_time: 0.008, memory: 52540, decode.loss_ce: 0.1868, decode.acc_seg: 92.2211, loss: 0.1868 +2023-03-05 10:59:43,557 - mmseg - INFO - Iter [159250/160000] lr: 1.172e-06, eta: 0:02:57, time: 0.191, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1853, decode.acc_seg: 92.2505, loss: 0.1853 +2023-03-05 10:59:53,487 - mmseg - INFO - Iter [159300/160000] lr: 1.172e-06, eta: 0:02:45, time: 0.199, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1776, decode.acc_seg: 92.8507, loss: 0.1776 +2023-03-05 11:00:03,248 - mmseg - INFO - Iter [159350/160000] lr: 1.172e-06, eta: 0:02:34, time: 0.195, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1797, decode.acc_seg: 92.5712, loss: 0.1797 +2023-03-05 11:00:12,908 - mmseg - INFO - Iter [159400/160000] lr: 1.172e-06, eta: 0:02:22, time: 0.193, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1797, decode.acc_seg: 92.4302, loss: 0.1797 +2023-03-05 11:00:22,573 - mmseg - INFO - Iter [159450/160000] lr: 1.172e-06, eta: 0:02:10, time: 0.193, data_time: 0.008, memory: 52540, decode.loss_ce: 0.1836, decode.acc_seg: 92.4529, loss: 0.1836 +2023-03-05 11:00:32,234 - mmseg - INFO - Iter [159500/160000] lr: 1.172e-06, eta: 0:01:58, time: 0.193, data_time: 0.008, memory: 52540, decode.loss_ce: 0.1903, decode.acc_seg: 92.2400, loss: 0.1903 +2023-03-05 11:00:42,043 - mmseg - INFO - Iter [159550/160000] lr: 1.172e-06, eta: 0:01:46, time: 0.196, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1836, decode.acc_seg: 92.5143, loss: 0.1836 +2023-03-05 11:00:51,693 - mmseg - INFO - Iter [159600/160000] lr: 1.172e-06, eta: 0:01:34, time: 0.193, data_time: 0.008, memory: 52540, decode.loss_ce: 0.1808, decode.acc_seg: 92.5577, loss: 0.1808 +2023-03-05 11:01:04,028 - mmseg - INFO - Iter [159650/160000] lr: 1.172e-06, eta: 0:01:22, time: 0.247, data_time: 0.059, memory: 52540, decode.loss_ce: 0.1794, decode.acc_seg: 92.6321, loss: 0.1794 +2023-03-05 11:01:13,742 - mmseg - INFO - Iter [159700/160000] lr: 1.172e-06, eta: 0:01:11, time: 0.194, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1834, decode.acc_seg: 92.5786, loss: 0.1834 +2023-03-05 11:01:23,442 - mmseg - INFO - Iter [159750/160000] lr: 1.172e-06, eta: 0:00:59, time: 0.194, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1746, decode.acc_seg: 92.8319, loss: 0.1746 +2023-03-05 11:01:33,031 - mmseg - INFO - Iter [159800/160000] lr: 1.172e-06, eta: 0:00:47, time: 0.192, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1928, decode.acc_seg: 92.0515, loss: 0.1928 +2023-03-05 11:01:43,117 - mmseg - INFO - Iter [159850/160000] lr: 1.172e-06, eta: 0:00:35, time: 0.202, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1913, decode.acc_seg: 92.0823, loss: 0.1913 +2023-03-05 11:01:53,225 - mmseg - INFO - Iter [159900/160000] lr: 1.172e-06, eta: 0:00:23, time: 0.202, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1840, decode.acc_seg: 92.3934, loss: 0.1840 +2023-03-05 11:02:03,124 - mmseg - INFO - Iter [159950/160000] lr: 1.172e-06, eta: 0:00:11, time: 0.198, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1829, decode.acc_seg: 92.4460, loss: 0.1829 +2023-03-05 11:02:12,842 - mmseg - INFO - Swap parameters (after train) after iter [160000] +2023-03-05 11:02:12,856 - mmseg - INFO - Saving checkpoint at 160000 iterations +2023-03-05 11:02:13,983 - mmseg - INFO - Exp name: ablation_segformer_mit_b2_segformer_head_unet_fc_small_multi_step_ade_pretrained_freeze_embed_160k_ade20k151_mask_finetune_maskreplace.py +2023-03-05 11:02:13,984 - mmseg - INFO - Iter [160000/160000] lr: 1.172e-06, eta: 0:00:00, time: 0.217, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1846, decode.acc_seg: 92.5251, loss: 0.1846 +2023-03-05 11:13:07,810 - mmseg - INFO - per class results: +2023-03-05 11:13:07,818 - mmseg - INFO - ++---------------------+-------------------------------------------------------------------+ +| Class | IoU 0,10,20,30,40,50,60,70,80,90,99 | ++---------------------+-------------------------------------------------------------------+ +| background | nan,nan,nan,nan,nan,nan,nan,nan,nan,nan,nan | +| wall | 77.41,77.43,77.44,77.46,77.47,77.48,77.5,77.52,77.53,77.53,77.57 | +| building | 81.74,81.75,81.75,81.76,81.78,81.77,81.77,81.76,81.76,81.76,81.73 | +| sky | 94.47,94.48,94.49,94.49,94.5,94.5,94.5,94.51,94.52,94.52,94.53 | +| floor | 81.58,81.6,81.62,81.63,81.65,81.66,81.69,81.7,81.71,81.71,81.75 | +| tree | 74.19,74.21,74.24,74.27,74.31,74.31,74.31,74.34,74.36,74.36,74.37 | +| ceiling | 84.92,84.96,84.97,85.01,85.03,85.05,85.05,85.08,85.08,85.1,85.1 | +| road | 82.12,82.11,82.14,82.16,82.17,82.11,82.03,82.04,82.03,82.03,82.11 | +| bed | 87.75,87.76,87.78,87.76,87.8,87.86,87.89,87.92,87.94,87.96,87.98 | +| windowpane | 60.38,60.42,60.48,60.51,60.53,60.56,60.58,60.57,60.63,60.63,60.68 | +| grass | 67.14,67.18,67.19,67.22,67.19,67.21,67.2,67.19,67.14,67.14,67.13 | +| cabinet | 60.38,60.48,60.53,60.63,60.68,60.82,60.88,60.85,60.97,61.05,61.13 | +| sidewalk | 64.61,64.6,64.65,64.63,64.54,64.45,64.4,64.38,64.35,64.3,64.49 | +| person | 79.76,79.78,79.82,79.84,79.86,79.88,79.89,79.89,79.89,79.87,79.89 | +| earth | 35.92,35.95,35.96,35.96,36.01,35.94,35.72,35.73,35.77,35.76,35.77 | +| door | 46.66,46.72,46.69,46.68,46.69,46.67,46.75,46.76,46.79,46.8,46.82 | +| table | 61.12,61.14,61.18,61.13,61.19,61.17,61.17,61.21,61.19,61.18,61.15 | +| mountain | 56.98,57.14,57.39,57.5,57.62,57.67,57.72,57.81,57.84,57.87,57.75 | +| plant | 49.38,49.39,49.35,49.36,49.36,49.35,49.38,49.39,49.4,49.39,49.42 | +| curtain | 73.89,73.92,73.96,74.01,74.04,74.0,74.07,74.2,74.29,74.32,74.33 | +| chair | 56.84,56.88,56.92,56.95,57.01,57.07,57.04,57.03,57.06,57.03,57.08 | +| car | 81.94,81.97,82.03,82.06,82.1,82.15,82.18,82.16,82.19,82.2,82.21 | +| water | 58.09,58.07,58.05,58.03,58.0,58.01,57.97,57.96,57.92,57.9,57.87 | +| painting | 70.16,70.07,70.02,69.87,69.82,69.79,69.82,69.69,69.72,69.71,69.76 | +| sofa | 64.77,64.95,64.94,65.02,65.12,65.09,65.01,65.0,65.04,65.1,65.17 | +| shelf | 43.66,43.69,43.71,43.71,43.82,43.85,43.86,43.94,44.02,44.1,44.15 | +| house | 42.39,42.71,42.98,43.11,43.19,43.14,43.12,43.14,43.12,43.06,43.38 | +| sea | 60.64,60.68,60.71,60.73,60.7,60.76,60.78,60.74,60.73,60.69,60.64 | +| mirror | 66.34,66.25,66.14,66.12,66.08,66.03,66.02,66.08,66.08,66.03,66.14 | +| rug | 65.1,65.15,65.1,65.03,65.12,65.07,65.11,65.1,65.07,65.04,65.13 | +| field | 29.92,29.95,29.96,29.99,29.98,30.03,30.05,30.06,30.09,30.1,30.13 | +| armchair | 37.78,37.9,37.88,37.98,38.06,38.12,38.07,38.06,38.14,38.16,38.25 | +| seat | 66.06,66.12,66.16,66.18,66.32,66.34,66.37,66.39,66.42,66.39,66.49 | +| fence | 41.32,41.37,41.43,41.43,41.43,41.43,41.38,41.43,41.47,41.43,41.45 | +| desk | 47.02,47.19,47.29,47.36,47.36,47.49,47.58,47.64,47.68,47.67,47.73 | +| rock | 37.07,37.11,37.15,37.15,37.21,37.26,37.21,37.24,37.21,37.22,37.35 | +| wardrobe | 56.91,56.97,56.99,56.95,57.01,57.03,56.99,56.99,56.86,56.88,56.97 | +| lamp | 62.47,62.5,62.52,62.55,62.56,62.56,62.57,62.57,62.61,62.61,62.68 | +| bathtub | 77.49,77.66,77.74,77.9,77.95,77.97,78.19,78.31,78.38,78.45,78.68 | +| railing | 33.34,33.3,33.28,33.2,33.15,33.24,33.14,33.09,33.09,33.0,32.98 | +| cushion | 57.31,57.49,57.68,57.71,57.91,58.0,58.06,58.13,58.14,58.16,58.25 | +| base | 21.23,21.34,21.65,21.77,21.97,21.89,22.04,22.07,22.11,22.1,22.0 | +| box | 23.41,23.57,23.62,23.78,23.88,23.99,24.01,24.1,24.12,24.1,24.23 | +| column | 45.84,45.87,45.88,46.04,46.19,46.22,46.4,46.65,46.99,47.05,47.24 | +| signboard | 37.68,37.68,37.69,37.64,37.67,37.7,37.67,37.63,37.62,37.58,37.55 | +| chest of drawers | 36.05,35.99,35.99,36.35,36.36,36.59,36.52,36.43,36.48,36.61,36.55 | +| counter | 32.36,32.41,32.44,32.5,32.5,32.51,32.59,32.52,32.6,32.61,32.71 | +| sand | 42.77,42.8,42.69,42.55,42.34,42.21,42.1,41.87,41.84,41.81,42.03 | +| sink | 68.5,68.47,68.41,68.37,68.33,68.34,68.2,68.23,68.21,68.18,68.17 | +| skyscraper | 53.37,52.62,51.94,51.21,50.92,50.7,50.52,50.43,50.22,50.26,49.63 | +| fireplace | 75.07,75.31,75.38,75.84,75.93,76.35,76.5,76.46,76.54,76.64,76.83 | +| refrigerator | 74.89,75.36,75.66,75.86,76.04,76.14,76.18,76.18,75.99,75.92,76.35 | +| grandstand | 51.7,51.78,51.78,52.0,52.16,52.18,52.37,52.5,52.56,52.68,52.68 | +| path | 22.21,22.32,22.44,22.61,22.71,22.71,22.79,23.02,23.0,23.0,23.13 | +| stairs | 32.62,32.63,32.52,32.43,32.49,32.42,32.42,32.42,32.41,32.41,32.39 | +| runway | 67.96,67.98,68.04,68.08,68.12,68.14,68.09,68.14,68.13,68.12,68.13 | +| case | 46.4,46.69,47.04,47.11,47.29,47.56,47.54,47.71,47.73,47.77,47.7 | +| pool table | 91.18,91.19,91.22,91.25,91.34,91.33,91.44,91.6,91.61,91.6,91.67 | +| pillow | 62.04,62.33,62.62,62.54,62.89,62.9,62.93,62.94,62.94,62.98,62.96 | +| screen door | 70.06,69.95,69.81,69.65,69.56,69.58,69.41,69.41,69.36,69.37,69.2 | +| stairway | 23.6,23.51,23.5,23.39,23.29,23.22,22.98,22.88,22.86,22.8,22.68 | +| river | 12.01,11.99,11.97,11.95,11.92,11.93,11.89,11.88,11.86,11.85,11.82 | +| bridge | 31.65,31.78,31.88,31.88,31.96,31.96,31.73,31.82,31.64,31.58,31.5 | +| bookcase | 47.48,47.52,47.66,47.63,47.67,47.83,47.75,47.76,47.9,47.85,47.83 | +| blind | 41.27,41.37,41.62,41.5,41.35,41.28,41.12,40.98,41.14,41.19,40.96 | +| coffee table | 52.25,52.14,52.1,52.02,52.0,51.96,51.93,51.97,51.99,52.0,52.08 | +| toilet | 83.58,83.55,83.49,83.51,83.49,83.53,83.53,83.56,83.54,83.56,83.54 | +| flower | 38.54,38.51,38.49,38.47,38.44,38.38,38.34,38.41,38.37,38.3,38.33 | +| book | 45.48,45.48,45.48,45.42,45.37,45.47,45.3,45.29,45.2,45.19,45.22 | +| hill | 16.21,16.25,16.38,16.35,16.61,16.72,16.61,16.61,16.61,16.63,16.75 | +| bench | 43.78,43.68,43.7,43.68,43.54,43.62,43.53,43.37,43.39,43.24,43.15 | +| countertop | 53.93,53.92,54.03,53.92,53.93,53.87,53.94,53.98,54.08,54.03,54.19 | +| stove | 71.79,71.79,71.74,71.73,71.72,71.62,71.44,71.4,71.26,70.72,70.59 | +| palm | 47.91,47.97,47.99,48.03,48.1,48.15,48.17,48.24,48.25,48.29,48.39 | +| kitchen island | 45.37,45.49,45.53,45.89,46.17,46.21,46.62,46.55,46.87,47.17,47.59 | +| computer | 59.55,59.52,59.48,59.42,59.32,59.31,59.32,59.18,59.12,59.08,59.07 | +| swivel chair | 43.65,43.69,43.87,43.95,44.0,44.11,44.14,44.27,44.35,44.28,44.56 | +| boat | 70.76,70.86,70.97,71.01,71.21,71.32,71.38,71.41,71.46,71.6,71.63 | +| bar | 23.91,23.99,24.08,24.12,24.14,24.22,24.25,24.24,24.3,24.32,24.29 | +| arcade machine | 70.77,70.93,71.34,71.26,71.12,71.4,71.49,71.46,71.83,71.56,71.54 | +| hovel | 29.73,29.53,29.4,28.98,28.84,28.71,28.21,28.16,27.79,27.35,27.41 | +| bus | 77.32,77.46,77.48,77.64,77.78,77.96,78.12,78.12,78.17,78.27,78.09 | +| towel | 64.03,64.15,64.09,64.3,64.24,64.28,64.29,64.41,64.24,64.27,64.43 | +| light | 55.63,55.77,55.84,55.89,56.12,56.18,56.17,56.35,56.34,56.48,56.49 | +| truck | 18.16,18.15,18.14,18.12,18.31,18.25,18.32,18.34,18.43,18.4,18.42 | +| tower | 8.08,8.15,8.16,8.34,8.48,8.65,8.77,8.8,8.9,8.94,8.65 | +| chandelier | 65.79,65.96,66.07,66.08,66.23,66.3,66.34,66.37,66.4,66.52,66.6 | +| awning | 23.16,23.33,23.37,23.42,23.52,23.57,23.82,23.9,23.9,23.93,23.91 | +| streetlight | 27.6,27.67,27.64,27.63,27.77,27.77,27.88,27.85,27.89,27.92,28.11 | +| booth | 44.89,45.24,45.34,45.82,46.16,46.16,46.18,46.3,46.38,46.39,46.41 | +| television receiver | 64.82,64.89,64.81,64.82,64.79,64.75,64.7,64.56,64.57,64.48,64.5 | +| airplane | 58.7,58.66,58.65,58.64,58.63,58.68,58.67,58.66,58.71,58.76,58.76 | +| dirt track | 19.94,19.95,20.07,20.21,20.25,20.36,20.43,20.47,20.35,20.19,20.24 | +| apparel | 34.32,34.53,34.8,34.93,35.07,35.24,35.29,35.61,35.63,35.75,35.94 | +| pole | 17.82,17.83,17.71,17.69,17.87,17.86,17.7,17.54,17.6,17.4,17.36 | +| land | 3.75,3.87,3.89,3.99,3.98,4.02,3.94,3.95,3.91,3.9,3.78 | +| bannister | 12.44,12.57,12.61,12.84,12.8,12.81,12.68,12.52,12.62,12.55,12.45 | +| escalator | 25.21,25.17,25.17,25.16,25.15,25.14,25.13,25.05,25.05,25.04,25.09 | +| ottoman | 44.79,44.92,45.08,45.01,45.23,45.52,45.77,45.86,45.7,45.85,45.73 | +| bottle | 36.52,36.49,36.52,36.54,36.54,36.66,36.47,36.58,36.53,36.57,36.57 | +| buffet | 37.51,38.28,38.89,39.11,39.88,40.86,41.18,41.55,41.63,41.89,41.85 | +| poster | 23.64,23.62,23.62,23.65,23.73,23.77,23.67,23.76,23.72,23.65,23.74 | +| stage | 14.5,14.51,14.52,14.5,14.53,14.53,14.53,14.6,14.6,14.59,14.48 | +| van | 38.57,38.5,38.54,38.41,38.63,38.68,38.69,38.6,38.77,38.87,38.97 | +| ship | 80.84,80.97,81.16,81.32,81.41,81.56,81.72,81.85,82.08,82.19,82.27 | +| fountain | 21.05,21.26,21.43,21.59,21.71,21.93,21.97,22.07,22.24,22.26,22.34 | +| conveyer belt | 85.73,85.68,85.57,85.5,85.57,85.5,85.55,85.58,85.66,85.67,85.78 | +| canopy | 24.72,24.91,25.05,25.11,25.2,25.26,25.41,25.43,25.24,25.36,25.41 | +| washer | 73.35,73.39,73.43,73.29,73.93,73.51,73.71,73.69,73.89,73.99,74.18 | +| plaything | 21.79,21.82,21.87,21.84,21.82,21.94,21.83,21.68,21.65,21.49,21.42 | +| swimming pool | 74.6,74.99,75.35,75.59,75.82,75.92,76.01,76.09,76.17,76.15,76.26 | +| stool | 44.5,44.47,44.51,44.47,44.52,44.42,44.42,44.48,44.38,44.28,44.18 | +| barrel | 56.29,56.76,57.01,58.58,58.75,59.42,59.33,59.25,59.12,58.81,58.71 | +| basket | 24.61,24.62,24.74,24.8,24.88,24.87,24.82,24.75,24.8,24.82,24.81 | +| waterfall | 50.08,49.77,49.61,49.39,49.38,49.33,49.38,49.43,49.42,49.51,49.24 | +| tent | 95.29,95.38,95.4,95.41,95.43,95.51,95.53,95.54,95.56,95.55,95.55 | +| bag | 14.82,14.9,14.9,14.89,14.95,15.09,15.2,15.08,15.19,15.07,15.2 | +| minibike | 64.11,64.0,64.03,63.91,63.93,63.92,63.81,63.69,63.76,63.49,63.56 | +| cradle | 84.88,84.98,85.07,85.12,85.12,85.24,85.35,85.31,85.34,85.35,85.55 | +| oven | 46.34,46.45,46.47,46.66,46.65,46.82,47.13,47.37,47.82,48.03,48.42 | +| ball | 42.22,42.42,42.67,42.7,43.25,43.47,43.72,44.05,44.33,44.71,44.98 | +| food | 53.45,53.34,53.25,53.15,53.02,53.13,52.79,52.8,52.65,52.57,52.68 | +| step | 5.3,5.32,5.41,5.45,5.32,5.34,5.23,5.38,5.25,5.21,5.32 | +| tank | 50.74,51.01,50.99,50.9,51.51,51.37,51.39,51.57,51.53,51.58,51.58 | +| trade name | 27.06,27.13,27.0,27.21,26.91,26.9,26.96,26.84,26.82,26.55,26.57 | +| microwave | 69.23,69.75,70.19,70.48,70.67,70.83,70.98,71.2,71.4,71.59,71.82 | +| pot | 29.82,29.93,29.98,30.05,30.04,30.29,30.23,30.29,30.28,30.32,30.43 | +| animal | 53.95,53.96,53.93,53.96,54.02,54.0,54.01,54.03,54.04,54.05,54.06 | +| bicycle | 53.83,54.07,54.31,54.41,54.53,54.61,54.77,54.91,55.06,55.12,55.09 | +| lake | 57.46,57.51,57.55,57.57,57.59,57.61,57.59,57.6,57.62,57.63,57.71 | +| dishwasher | 67.51,67.65,67.45,67.82,67.8,67.6,67.78,67.76,67.79,67.85,68.07 | +| screen | 68.7,68.37,68.19,68.06,67.96,67.95,67.84,67.71,66.91,66.88,67.38 | +| blanket | 19.75,19.94,19.97,19.98,20.13,20.2,20.39,20.43,20.41,20.29,20.38 | +| sculpture | 57.29,57.25,57.2,57.24,57.25,57.34,57.57,57.35,57.4,57.52,57.54 | +| hood | 61.03,61.18,61.34,61.24,61.39,61.36,61.38,61.52,61.5,61.46,61.43 | +| sconce | 42.53,42.66,42.56,42.69,42.84,42.95,43.02,43.14,43.35,43.41,43.45 | +| vase | 37.48,37.64,37.88,38.09,38.22,38.26,38.38,38.48,38.49,38.62,38.57 | +| traffic light | 32.03,32.09,31.94,32.06,32.23,32.3,32.29,32.41,32.35,32.17,32.15 | +| tray | 8.43,8.53,8.54,8.48,8.37,8.57,8.6,8.17,8.37,8.17,8.58 | +| ashcan | 40.53,40.59,40.58,40.71,40.6,40.71,40.77,40.47,40.61,40.86,40.83 | +| fan | 57.71,57.8,57.97,58.09,57.94,58.13,58.25,58.34,58.36,58.43,58.37 | +| pier | 49.85,50.11,50.23,50.44,50.96,50.84,50.79,51.09,51.22,51.39,51.54 | +| crt screen | 10.11,10.21,10.03,10.33,10.32,10.27,10.19,10.25,10.15,10.15,10.13 | +| plate | 53.6,53.67,53.75,53.65,53.71,53.81,53.82,53.7,53.69,53.75,53.7 | +| monitor | 31.8,31.67,31.38,31.34,31.09,30.85,30.5,30.27,30.19,29.85,29.29 | +| bulletin board | 37.92,37.95,37.77,37.33,37.42,37.16,37.07,37.14,37.02,37.0,37.12 | +| shower | 2.16,2.17,2.18,2.19,2.13,2.14,2.13,2.17,2.16,2.13,2.12 | +| radiator | 62.7,63.0,63.17,63.29,63.42,63.55,63.48,63.67,63.74,63.88,63.99 | +| glass | 13.9,13.88,13.78,13.79,13.76,13.7,13.62,13.62,13.66,13.56,13.52 | +| clock | 37.48,37.57,37.56,37.43,37.4,37.28,37.31,37.23,37.0,36.85,37.1 | +| flag | 36.19,36.13,36.04,35.83,35.75,35.69,35.6,35.75,35.5,35.6,35.6 | ++---------------------+-------------------------------------------------------------------+ +2023-03-05 11:13:07,819 - mmseg - INFO - Summary: +2023-03-05 11:13:07,819 - mmseg - INFO - ++-----------------------------------------------------------------+ +| mIoU 0,10,20,30,40,50,60,70,80,90,99 | ++-----------------------------------------------------------------+ +| 48.92,48.98,49.02,49.06,49.12,49.16,49.16,49.18,49.2,49.2,49.23 | ++-----------------------------------------------------------------+ +2023-03-05 11:13:07,857 - mmseg - INFO - The previous best checkpoint /mnt/petrelfs/laizeqiang/mmseg-baseline/work_dirs2/ablation_segformer_mit_b2_segformer_head_unet_fc_small_multi_step_ade_pretrained_freeze_embed_160k_ade20k151_mask_finetune_maskreplace/best_mIoU_iter_112000.pth was removed +2023-03-05 11:13:08,889 - mmseg - INFO - Now best checkpoint is saved as best_mIoU_iter_160000.pth. +2023-03-05 11:13:08,890 - mmseg - INFO - Best mIoU is 0.4923 at 160000 iter. +2023-03-05 11:13:08,891 - mmseg - INFO - Exp name: ablation_segformer_mit_b2_segformer_head_unet_fc_small_multi_step_ade_pretrained_freeze_embed_160k_ade20k151_mask_finetune_maskreplace.py +2023-03-05 11:13:08,891 - mmseg - INFO - Iter(val) [250] mIoU: [0.4892, 0.4898, 0.4902, 0.4906, 0.4912, 0.4916, 0.4916, 0.4918, 0.492, 0.492, 0.4923], copy_paste: 48.92,48.98,49.02,49.06,49.12,49.16,49.16,49.18,49.2,49.2,49.23 diff --git a/ablation/ablation_segformer_mit_b2_segformer_head_unet_fc_small_multi_step_ade_pretrained_freeze_embed_160k_ade20k151_mask_finetune_maskreplace/20230305_002942.log.json b/ablation/ablation_segformer_mit_b2_segformer_head_unet_fc_small_multi_step_ade_pretrained_freeze_embed_160k_ade20k151_mask_finetune_maskreplace/20230305_002942.log.json new file mode 100644 index 0000000000000000000000000000000000000000..9b53b40ddcf0ffb64778f8b5b1981840a4b136ce --- /dev/null +++ b/ablation/ablation_segformer_mit_b2_segformer_head_unet_fc_small_multi_step_ade_pretrained_freeze_embed_160k_ade20k151_mask_finetune_maskreplace/20230305_002942.log.json @@ -0,0 +1,3211 @@ +{"env_info": "sys.platform: linux\nPython: 3.7.16 (default, Jan 17 2023, 22:20:44) [GCC 11.2.0]\nCUDA available: True\nGPU 0,1,2,3,4,5,6,7: NVIDIA A100-SXM4-80GB\nCUDA_HOME: /mnt/petrelfs/laizeqiang/miniconda3/envs/torch\nNVCC: Cuda compilation tools, release 11.6, V11.6.124\nGCC: gcc (GCC) 7.5.0\nPyTorch: 1.13.1\nPyTorch compiling details: PyTorch built with:\n - GCC 9.3\n - C++ Version: 201402\n - Intel(R) oneAPI Math Kernel Library Version 2021.4-Product Build 20210904 for Intel(R) 64 architecture applications\n - Intel(R) MKL-DNN v2.6.0 (Git Hash 52b5f107dd9cf10910aaa19cb47f3abf9b349815)\n - OpenMP 201511 (a.k.a. OpenMP 4.5)\n - LAPACK is enabled (usually provided by MKL)\n - NNPACK is enabled\n - CPU capability usage: AVX2\n - CUDA Runtime 11.6\n - NVCC architecture flags: -gencode;arch=compute_37,code=sm_37;-gencode;arch=compute_50,code=sm_50;-gencode;arch=compute_60,code=sm_60;-gencode;arch=compute_61,code=sm_61;-gencode;arch=compute_70,code=sm_70;-gencode;arch=compute_75,code=sm_75;-gencode;arch=compute_80,code=sm_80;-gencode;arch=compute_86,code=sm_86;-gencode;arch=compute_37,code=compute_37\n - CuDNN 8.3.2 (built against CUDA 11.5)\n - Magma 2.6.1\n - Build settings: BLAS_INFO=mkl, BUILD_TYPE=Release, CUDA_VERSION=11.6, CUDNN_VERSION=8.3.2, CXX_COMPILER=/opt/rh/devtoolset-9/root/usr/bin/c++, CXX_FLAGS= -fabi-version=11 -Wno-deprecated -fvisibility-inlines-hidden -DUSE_PTHREADPOOL -fopenmp -DNDEBUG -DUSE_KINETO -DUSE_FBGEMM -DUSE_QNNPACK -DUSE_PYTORCH_QNNPACK -DUSE_XNNPACK -DSYMBOLICATE_MOBILE_DEBUG_HANDLE -DEDGE_PROFILER_USE_KINETO -O2 -fPIC -Wno-narrowing -Wall -Wextra -Werror=return-type -Werror=non-virtual-dtor -Wno-missing-field-initializers -Wno-type-limits -Wno-array-bounds -Wno-unknown-pragmas -Wunused-local-typedefs -Wno-unused-parameter -Wno-unused-function -Wno-unused-result -Wno-strict-overflow -Wno-strict-aliasing -Wno-error=deprecated-declarations -Wno-stringop-overflow -Wno-psabi -Wno-error=pedantic -Wno-error=redundant-decls -Wno-error=old-style-cast -fdiagnostics-color=always -faligned-new -Wno-unused-but-set-variable -Wno-maybe-uninitialized -fno-math-errno -fno-trapping-math -Werror=format -Werror=cast-function-type -Wno-stringop-overflow, LAPACK_INFO=mkl, PERF_WITH_AVX=1, PERF_WITH_AVX2=1, PERF_WITH_AVX512=1, TORCH_VERSION=1.13.1, USE_CUDA=ON, USE_CUDNN=ON, USE_EXCEPTION_PTR=1, USE_GFLAGS=OFF, USE_GLOG=OFF, USE_MKL=ON, USE_MKLDNN=ON, USE_MPI=OFF, USE_NCCL=ON, USE_NNPACK=ON, USE_OPENMP=ON, USE_ROCM=OFF, \n\nTorchVision: 0.14.1\nOpenCV: 4.7.0\nMMCV: 1.7.1\nMMCV Compiler: GCC 9.3\nMMCV CUDA Compiler: 11.6\nMMSegmentation: 0.30.0+6749699", "seed": 1452384493, "exp_name": "ablation_segformer_mit_b2_segformer_head_unet_fc_small_multi_step_ade_pretrained_freeze_embed_160k_ade20k151_mask_finetune_maskreplace.py", "mmseg_version": "0.30.0+6749699", "config": "norm_cfg = dict(type='SyncBN', requires_grad=True)\ncheckpoint = 'work_dirs2/ablation_segformer_mit_b2_segformer_head_unet_fc_single_step_ade_pretrained_freeze_embed_80k_ade20k151_mask/latest.pth'\nmodel = dict(\n type='EncoderDecoderDiffusion',\n freeze_parameters=['backbone', 'decode_head'],\n pretrained=\n 'work_dirs2/ablation_segformer_mit_b2_segformer_head_unet_fc_single_step_ade_pretrained_freeze_embed_80k_ade20k151_mask/latest.pth',\n backbone=dict(\n type='MixVisionTransformerCustomInitWeights',\n in_channels=3,\n embed_dims=64,\n num_stages=4,\n num_layers=[3, 4, 6, 3],\n num_heads=[1, 2, 5, 8],\n patch_sizes=[7, 3, 3, 3],\n sr_ratios=[8, 4, 2, 1],\n out_indices=(0, 1, 2, 3),\n mlp_ratio=4,\n qkv_bias=True,\n drop_rate=0.0,\n attn_drop_rate=0.0,\n drop_path_rate=0.1,\n pretrained=\n 'work_dirs2/ablation_segformer_mit_b2_segformer_head_unet_fc_single_step_ade_pretrained_freeze_embed_80k_ade20k151_mask/latest.pth'\n ),\n decode_head=dict(\n type='SegformerHeadUnetFCHeadMultiStepMaskReplace',\n pretrained=\n 'work_dirs2/ablation_segformer_mit_b2_segformer_head_unet_fc_single_step_ade_pretrained_freeze_embed_80k_ade20k151_mask/latest.pth',\n dim=128,\n out_dim=256,\n unet_channels=272,\n dim_mults=[1, 1, 1],\n cat_embedding_dim=16,\n diffusion_timesteps=100,\n collect_timesteps=[0, 10, 20, 30, 40, 50, 60, 70, 80, 90, 99],\n in_channels=[64, 128, 320, 512],\n in_index=[0, 1, 2, 3],\n channels=256,\n dropout_ratio=0.1,\n num_classes=151,\n norm_cfg=dict(type='SyncBN', requires_grad=True),\n align_corners=False,\n ignore_index=0,\n loss_decode=dict(\n type='CrossEntropyLoss', use_sigmoid=False, loss_weight=1.0)),\n train_cfg=dict(),\n test_cfg=dict(mode='whole'))\ndataset_type = 'ADE20K151Dataset'\ndata_root = 'data/ade/ADEChallengeData2016'\nimg_norm_cfg = dict(\n mean=[123.675, 116.28, 103.53], std=[58.395, 57.12, 57.375], to_rgb=True)\ncrop_size = (512, 512)\ntrain_pipeline = [\n dict(type='LoadImageFromFile'),\n dict(type='LoadAnnotations', reduce_zero_label=False),\n dict(type='Resize', img_scale=(2048, 512), ratio_range=(0.5, 2.0)),\n dict(type='RandomCrop', crop_size=(512, 512), cat_max_ratio=0.75),\n dict(type='RandomFlip', prob=0.5),\n dict(type='PhotoMetricDistortion'),\n dict(\n type='Normalize',\n mean=[123.675, 116.28, 103.53],\n std=[58.395, 57.12, 57.375],\n to_rgb=True),\n dict(type='Pad', size=(512, 512), pad_val=0, seg_pad_val=0),\n dict(type='DefaultFormatBundle'),\n dict(type='Collect', keys=['img', 'gt_semantic_seg'])\n]\ntest_pipeline = [\n dict(type='LoadImageFromFile'),\n dict(\n type='MultiScaleFlipAug',\n img_scale=(2048, 512),\n flip=False,\n transforms=[\n dict(type='Resize', keep_ratio=True),\n dict(type='RandomFlip'),\n dict(\n type='Normalize',\n mean=[123.675, 116.28, 103.53],\n std=[58.395, 57.12, 57.375],\n to_rgb=True),\n dict(type='Pad', size_divisor=16, pad_val=0, seg_pad_val=0),\n dict(type='ImageToTensor', keys=['img']),\n dict(type='Collect', keys=['img'])\n ])\n]\ndata = dict(\n samples_per_gpu=4,\n workers_per_gpu=4,\n train=dict(\n type='ADE20K151Dataset',\n data_root='data/ade/ADEChallengeData2016',\n img_dir='images/training',\n ann_dir='annotations/training',\n pipeline=[\n dict(type='LoadImageFromFile'),\n dict(type='LoadAnnotations', reduce_zero_label=False),\n dict(type='Resize', img_scale=(2048, 512), ratio_range=(0.5, 2.0)),\n dict(type='RandomCrop', crop_size=(512, 512), cat_max_ratio=0.75),\n dict(type='RandomFlip', prob=0.5),\n dict(type='PhotoMetricDistortion'),\n dict(\n type='Normalize',\n mean=[123.675, 116.28, 103.53],\n std=[58.395, 57.12, 57.375],\n to_rgb=True),\n dict(type='Pad', size=(512, 512), pad_val=0, seg_pad_val=0),\n dict(type='DefaultFormatBundle'),\n dict(type='Collect', keys=['img', 'gt_semantic_seg'])\n ]),\n val=dict(\n type='ADE20K151Dataset',\n data_root='data/ade/ADEChallengeData2016',\n img_dir='images/validation',\n ann_dir='annotations/validation',\n pipeline=[\n dict(type='LoadImageFromFile'),\n dict(\n type='MultiScaleFlipAug',\n img_scale=(2048, 512),\n flip=False,\n transforms=[\n dict(type='Resize', keep_ratio=True),\n dict(type='RandomFlip'),\n dict(\n type='Normalize',\n mean=[123.675, 116.28, 103.53],\n std=[58.395, 57.12, 57.375],\n to_rgb=True),\n dict(\n type='Pad', size_divisor=16, pad_val=0, seg_pad_val=0),\n dict(type='ImageToTensor', keys=['img']),\n dict(type='Collect', keys=['img'])\n ])\n ]),\n test=dict(\n type='ADE20K151Dataset',\n data_root='data/ade/ADEChallengeData2016',\n img_dir='images/validation',\n ann_dir='annotations/validation',\n pipeline=[\n dict(type='LoadImageFromFile'),\n dict(\n type='MultiScaleFlipAug',\n img_scale=(2048, 512),\n flip=False,\n transforms=[\n dict(type='Resize', keep_ratio=True),\n dict(type='RandomFlip'),\n dict(\n type='Normalize',\n mean=[123.675, 116.28, 103.53],\n std=[58.395, 57.12, 57.375],\n to_rgb=True),\n dict(\n type='Pad', size_divisor=16, pad_val=0, seg_pad_val=0),\n dict(type='ImageToTensor', keys=['img']),\n dict(type='Collect', keys=['img'])\n ])\n ]))\nlog_config = dict(\n interval=50, hooks=[dict(type='TextLoggerHook', by_epoch=False)])\ndist_params = dict(backend='nccl')\nlog_level = 'INFO'\nload_from = None\nresume_from = None\nworkflow = [('train', 1)]\ncudnn_benchmark = True\noptimizer = dict(\n type='AdamW', lr=0.00015, betas=[0.9, 0.96], weight_decay=0.045)\noptimizer_config = dict()\nlr_config = dict(\n policy='step',\n warmup='linear',\n warmup_iters=1000,\n warmup_ratio=1e-06,\n step=20000,\n gamma=0.5,\n min_lr=1e-06,\n by_epoch=False)\nrunner = dict(type='IterBasedRunner', max_iters=160000)\ncheckpoint_config = dict(by_epoch=False, interval=16000, max_keep_ckpts=1)\nevaluation = dict(\n interval=16000, metric='mIoU', pre_eval=True, save_best='mIoU')\ncustom_hooks = [\n dict(\n type='ConstantMomentumEMAHook',\n momentum=0.01,\n interval=25,\n eval_interval=16000,\n auto_resume=True,\n priority=49)\n]\nwork_dir = './work_dirs2/ablation_segformer_mit_b2_segformer_head_unet_fc_small_multi_step_ade_pretrained_freeze_embed_160k_ade20k151_mask_finetune_maskreplace'\ngpu_ids = range(0, 8)\nauto_resume = True\ndevice = 'cuda'\nseed = 1452384493\n", "CLASSES": ["background", "wall", "building", "sky", "floor", "tree", "ceiling", "road", "bed ", "windowpane", "grass", "cabinet", "sidewalk", "person", "earth", "door", "table", "mountain", "plant", "curtain", "chair", "car", "water", "painting", "sofa", "shelf", "house", "sea", "mirror", "rug", "field", "armchair", "seat", "fence", "desk", "rock", "wardrobe", "lamp", "bathtub", "railing", "cushion", "base", "box", "column", "signboard", "chest of drawers", "counter", "sand", "sink", "skyscraper", "fireplace", "refrigerator", "grandstand", "path", "stairs", "runway", "case", 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0.18225, "decode.acc_seg": 92.44088, "loss": 0.18225, "time": 0.19815} +{"mode": "train", "epoch": 252, "iter": 158800, "lr": 0.0, "memory": 52540, "data_time": 0.00742, "decode.loss_ce": 0.18092, "decode.acc_seg": 92.52271, "loss": 0.18092, "time": 0.19353} +{"mode": "train", "epoch": 252, "iter": 158850, "lr": 0.0, "memory": 52540, "data_time": 0.00734, "decode.loss_ce": 0.18339, "decode.acc_seg": 92.50218, "loss": 0.18339, "time": 0.19269} +{"mode": "train", "epoch": 252, "iter": 158900, "lr": 0.0, "memory": 52540, "data_time": 0.00796, "decode.loss_ce": 0.18219, "decode.acc_seg": 92.55915, "loss": 0.18219, "time": 0.1924} +{"mode": "train", "epoch": 252, "iter": 158950, "lr": 0.0, "memory": 52540, "data_time": 0.00797, "decode.loss_ce": 0.18365, "decode.acc_seg": 92.47066, "loss": 0.18365, "time": 0.19744} +{"mode": "train", "epoch": 252, "iter": 159000, "lr": 0.0, "memory": 52540, "data_time": 0.00748, "decode.loss_ce": 0.18066, "decode.acc_seg": 92.54402, "loss": 0.18066, "time": 0.19292} +{"mode": "train", "epoch": 253, "iter": 159050, "lr": 0.0, "memory": 52540, "data_time": 0.05436, "decode.loss_ce": 0.18501, "decode.acc_seg": 92.535, "loss": 0.18501, "time": 0.24476} +{"mode": "train", "epoch": 253, "iter": 159100, "lr": 0.0, "memory": 52540, "data_time": 0.00716, "decode.loss_ce": 0.18791, "decode.acc_seg": 92.19869, "loss": 0.18791, "time": 0.19458} +{"mode": "train", "epoch": 253, "iter": 159150, "lr": 0.0, "memory": 52540, "data_time": 0.00683, "decode.loss_ce": 0.18952, "decode.acc_seg": 92.10432, "loss": 0.18952, "time": 0.20236} +{"mode": "train", "epoch": 253, "iter": 159200, "lr": 0.0, "memory": 52540, "data_time": 0.00764, "decode.loss_ce": 0.18684, "decode.acc_seg": 92.22107, "loss": 0.18684, "time": 0.19644} +{"mode": "train", "epoch": 253, "iter": 159250, "lr": 0.0, "memory": 52540, "data_time": 0.00745, "decode.loss_ce": 0.18533, "decode.acc_seg": 92.25051, "loss": 0.18533, "time": 0.19054} +{"mode": "train", "epoch": 253, "iter": 159300, 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"48.92,48.98,49.02,49.06,49.12,49.16,49.16,49.18,49.2,49.2,49.23"} diff --git a/ablation/ablation_segformer_mit_b2_segformer_head_unet_fc_small_multi_step_ade_pretrained_freeze_embed_160k_ade20k151_mask_finetune_maskreplace/ablation_segformer_mit_b2_segformer_head_unet_fc_small_multi_step_ade_pretrained_freeze_embed_160k_ade20k151_mask_finetune_maskreplace.py b/ablation/ablation_segformer_mit_b2_segformer_head_unet_fc_small_multi_step_ade_pretrained_freeze_embed_160k_ade20k151_mask_finetune_maskreplace/ablation_segformer_mit_b2_segformer_head_unet_fc_small_multi_step_ade_pretrained_freeze_embed_160k_ade20k151_mask_finetune_maskreplace.py new file mode 100644 index 0000000000000000000000000000000000000000..b206f26b18c6968449973254deaf14216f5ed5ea --- /dev/null +++ b/ablation/ablation_segformer_mit_b2_segformer_head_unet_fc_small_multi_step_ade_pretrained_freeze_embed_160k_ade20k151_mask_finetune_maskreplace/ablation_segformer_mit_b2_segformer_head_unet_fc_small_multi_step_ade_pretrained_freeze_embed_160k_ade20k151_mask_finetune_maskreplace.py @@ -0,0 +1,195 @@ +norm_cfg = dict(type='SyncBN', requires_grad=True) +checkpoint = 'work_dirs2/ablation_segformer_mit_b2_segformer_head_unet_fc_single_step_ade_pretrained_freeze_embed_80k_ade20k151_mask/latest.pth' +model = dict( + type='EncoderDecoderDiffusion', + freeze_parameters=['backbone', 'decode_head'], + pretrained= + 'work_dirs2/ablation_segformer_mit_b2_segformer_head_unet_fc_single_step_ade_pretrained_freeze_embed_80k_ade20k151_mask/latest.pth', + backbone=dict( + type='MixVisionTransformerCustomInitWeights', + in_channels=3, + embed_dims=64, + num_stages=4, + num_layers=[3, 4, 6, 3], + num_heads=[1, 2, 5, 8], + patch_sizes=[7, 3, 3, 3], + sr_ratios=[8, 4, 2, 1], + out_indices=(0, 1, 2, 3), + mlp_ratio=4, + qkv_bias=True, + drop_rate=0.0, + attn_drop_rate=0.0, + drop_path_rate=0.1), + decode_head=dict( + type='SegformerHeadUnetFCHeadMultiStepMaskReplace', + pretrained= + 'work_dirs2/ablation_segformer_mit_b2_segformer_head_unet_fc_single_step_ade_pretrained_freeze_embed_80k_ade20k151_mask/latest.pth', + dim=128, + out_dim=256, + unet_channels=272, + dim_mults=[1, 1, 1], + cat_embedding_dim=16, + diffusion_timesteps=100, + collect_timesteps=[0, 10, 20, 30, 40, 50, 60, 70, 80, 90, 99], + in_channels=[64, 128, 320, 512], + in_index=[0, 1, 2, 3], + channels=256, + dropout_ratio=0.1, + num_classes=151, + norm_cfg=dict(type='SyncBN', requires_grad=True), + align_corners=False, + ignore_index=0, + loss_decode=dict( + type='CrossEntropyLoss', use_sigmoid=False, loss_weight=1.0)), + train_cfg=dict(), + test_cfg=dict(mode='whole')) +dataset_type = 'ADE20K151Dataset' +data_root = 'data/ade/ADEChallengeData2016' +img_norm_cfg = dict( + mean=[123.675, 116.28, 103.53], std=[58.395, 57.12, 57.375], to_rgb=True) +crop_size = (512, 512) +train_pipeline = [ + dict(type='LoadImageFromFile'), + dict(type='LoadAnnotations', reduce_zero_label=False), + dict(type='Resize', img_scale=(2048, 512), ratio_range=(0.5, 2.0)), + dict(type='RandomCrop', crop_size=(512, 512), cat_max_ratio=0.75), + dict(type='RandomFlip', prob=0.5), + dict(type='PhotoMetricDistortion'), + dict( + type='Normalize', + mean=[123.675, 116.28, 103.53], + std=[58.395, 57.12, 57.375], + to_rgb=True), + dict(type='Pad', size=(512, 512), pad_val=0, seg_pad_val=0), + dict(type='DefaultFormatBundle'), + dict(type='Collect', keys=['img', 'gt_semantic_seg']) +] +test_pipeline = [ + dict(type='LoadImageFromFile'), + dict( + type='MultiScaleFlipAug', + img_scale=(2048, 512), + flip=False, + transforms=[ + dict(type='Resize', keep_ratio=True), + dict(type='RandomFlip'), + dict( + type='Normalize', + mean=[123.675, 116.28, 103.53], + std=[58.395, 57.12, 57.375], + to_rgb=True), + dict(type='Pad', size_divisor=16, pad_val=0, seg_pad_val=0), + dict(type='ImageToTensor', keys=['img']), + dict(type='Collect', keys=['img']) + ]) +] +data = dict( + samples_per_gpu=4, + workers_per_gpu=4, + train=dict( + type='ADE20K151Dataset', + data_root='data/ade/ADEChallengeData2016', + img_dir='images/training', + ann_dir='annotations/training', + pipeline=[ + dict(type='LoadImageFromFile'), + dict(type='LoadAnnotations', reduce_zero_label=False), + dict(type='Resize', img_scale=(2048, 512), ratio_range=(0.5, 2.0)), + dict(type='RandomCrop', crop_size=(512, 512), cat_max_ratio=0.75), + dict(type='RandomFlip', prob=0.5), + dict(type='PhotoMetricDistortion'), + dict( + type='Normalize', + mean=[123.675, 116.28, 103.53], + std=[58.395, 57.12, 57.375], + to_rgb=True), + dict(type='Pad', size=(512, 512), pad_val=0, seg_pad_val=0), + dict(type='DefaultFormatBundle'), + dict(type='Collect', keys=['img', 'gt_semantic_seg']) + ]), + val=dict( + type='ADE20K151Dataset', + data_root='data/ade/ADEChallengeData2016', + img_dir='images/validation', + ann_dir='annotations/validation', + pipeline=[ + dict(type='LoadImageFromFile'), + dict( + type='MultiScaleFlipAug', + img_scale=(2048, 512), + flip=False, + transforms=[ + dict(type='Resize', keep_ratio=True), + dict(type='RandomFlip'), + dict( + type='Normalize', + mean=[123.675, 116.28, 103.53], + std=[58.395, 57.12, 57.375], + to_rgb=True), + dict( + type='Pad', size_divisor=16, pad_val=0, seg_pad_val=0), + dict(type='ImageToTensor', keys=['img']), + dict(type='Collect', keys=['img']) + ]) + ]), + test=dict( + type='ADE20K151Dataset', + data_root='data/ade/ADEChallengeData2016', + img_dir='images/validation', + ann_dir='annotations/validation', + pipeline=[ + dict(type='LoadImageFromFile'), + dict( + type='MultiScaleFlipAug', + img_scale=(2048, 512), + flip=False, + transforms=[ + dict(type='Resize', keep_ratio=True), + dict(type='RandomFlip'), + dict( + type='Normalize', + mean=[123.675, 116.28, 103.53], + std=[58.395, 57.12, 57.375], + to_rgb=True), + dict( + type='Pad', size_divisor=16, pad_val=0, seg_pad_val=0), + dict(type='ImageToTensor', keys=['img']), + dict(type='Collect', keys=['img']) + ]) + ])) +log_config = dict( + interval=50, hooks=[dict(type='TextLoggerHook', by_epoch=False)]) +dist_params = dict(backend='nccl') +log_level = 'INFO' +load_from = None +resume_from = None +workflow = [('train', 1)] +cudnn_benchmark = True +optimizer = dict( + type='AdamW', lr=0.00015, betas=[0.9, 0.96], weight_decay=0.045) +optimizer_config = dict() +lr_config = dict( + policy='step', + warmup='linear', + warmup_iters=1000, + warmup_ratio=1e-06, + step=20000, + gamma=0.5, + min_lr=1e-06, + by_epoch=False) +runner = dict(type='IterBasedRunner', max_iters=160000) +checkpoint_config = dict(by_epoch=False, interval=16000, max_keep_ckpts=1) +evaluation = dict( + interval=16000, metric='mIoU', pre_eval=True, save_best='mIoU') +custom_hooks = [ + dict( + type='ConstantMomentumEMAHook', + momentum=0.01, + interval=25, + eval_interval=16000, + auto_resume=True, + priority=49) +] +work_dir = './work_dirs2/ablation_segformer_mit_b2_segformer_head_unet_fc_small_multi_step_ade_pretrained_freeze_embed_160k_ade20k151_mask_finetune_maskreplace' +gpu_ids = range(0, 8) +auto_resume = True diff --git a/ablation/ablation_segformer_mit_b2_segformer_head_unet_fc_small_multi_step_ade_pretrained_freeze_embed_160k_ade20k151_mask_finetune_maskreplace/best_mIoU_iter_160000.pth b/ablation/ablation_segformer_mit_b2_segformer_head_unet_fc_small_multi_step_ade_pretrained_freeze_embed_160k_ade20k151_mask_finetune_maskreplace/best_mIoU_iter_160000.pth new file mode 100644 index 0000000000000000000000000000000000000000..78d66c06ed1a4eb3d9975f1e431807db220e5b6c --- /dev/null +++ b/ablation/ablation_segformer_mit_b2_segformer_head_unet_fc_small_multi_step_ade_pretrained_freeze_embed_160k_ade20k151_mask_finetune_maskreplace/best_mIoU_iter_160000.pth @@ -0,0 +1,3 @@ +version https://git-lfs.github.com/spec/v1 +oid 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mode 100644 index 0000000000000000000000000000000000000000..43c04438e49d0cc842a9c5c1d39422dec365f640 --- /dev/null +++ b/ablation/ablation_segformer_mit_b2_segformer_head_unet_fc_small_multi_step_ade_single_stage/20230304_011452.log @@ -0,0 +1,6221 @@ +2023-03-04 01:14:52,424 - mmseg - INFO - Multi-processing start method is `None` +2023-03-04 01:14:52,438 - mmseg - INFO - OpenCV num_threads is `128 +2023-03-04 01:14:52,438 - mmseg - INFO - OMP num threads is 1 +2023-03-04 01:14:52,497 - mmseg - INFO - Environment info: +------------------------------------------------------------ +sys.platform: linux +Python: 3.7.16 (default, Jan 17 2023, 22:20:44) [GCC 11.2.0] +CUDA available: True +GPU 0,1,2,3,4,5,6,7: NVIDIA A100-SXM4-80GB +CUDA_HOME: /mnt/petrelfs/laizeqiang/miniconda3/envs/torch +NVCC: Cuda compilation tools, release 11.6, V11.6.124 +GCC: gcc (GCC) 4.8.5 20150623 (Red Hat 4.8.5-44) +PyTorch: 1.13.1 +PyTorch compiling details: PyTorch built with: + - GCC 9.3 + - C++ Version: 201402 + - Intel(R) oneAPI Math Kernel Library Version 2021.4-Product Build 20210904 for Intel(R) 64 architecture applications + - Intel(R) MKL-DNN v2.6.0 (Git Hash 52b5f107dd9cf10910aaa19cb47f3abf9b349815) + - OpenMP 201511 (a.k.a. OpenMP 4.5) + - LAPACK is enabled (usually provided by MKL) + - NNPACK is enabled + - CPU capability usage: AVX2 + - CUDA Runtime 11.6 + - NVCC architecture flags: -gencode;arch=compute_37,code=sm_37;-gencode;arch=compute_50,code=sm_50;-gencode;arch=compute_60,code=sm_60;-gencode;arch=compute_61,code=sm_61;-gencode;arch=compute_70,code=sm_70;-gencode;arch=compute_75,code=sm_75;-gencode;arch=compute_80,code=sm_80;-gencode;arch=compute_86,code=sm_86;-gencode;arch=compute_37,code=compute_37 + - CuDNN 8.3.2 (built against CUDA 11.5) + - Magma 2.6.1 + - Build settings: BLAS_INFO=mkl, BUILD_TYPE=Release, CUDA_VERSION=11.6, CUDNN_VERSION=8.3.2, CXX_COMPILER=/opt/rh/devtoolset-9/root/usr/bin/c++, CXX_FLAGS= -fabi-version=11 -Wno-deprecated -fvisibility-inlines-hidden -DUSE_PTHREADPOOL -fopenmp -DNDEBUG -DUSE_KINETO -DUSE_FBGEMM -DUSE_QNNPACK -DUSE_PYTORCH_QNNPACK -DUSE_XNNPACK -DSYMBOLICATE_MOBILE_DEBUG_HANDLE -DEDGE_PROFILER_USE_KINETO -O2 -fPIC -Wno-narrowing -Wall -Wextra -Werror=return-type -Werror=non-virtual-dtor -Wno-missing-field-initializers -Wno-type-limits -Wno-array-bounds -Wno-unknown-pragmas -Wunused-local-typedefs -Wno-unused-parameter -Wno-unused-function -Wno-unused-result -Wno-strict-overflow -Wno-strict-aliasing -Wno-error=deprecated-declarations -Wno-stringop-overflow -Wno-psabi -Wno-error=pedantic -Wno-error=redundant-decls -Wno-error=old-style-cast -fdiagnostics-color=always -faligned-new -Wno-unused-but-set-variable -Wno-maybe-uninitialized -fno-math-errno -fno-trapping-math -Werror=format -Werror=cast-function-type -Wno-stringop-overflow, LAPACK_INFO=mkl, PERF_WITH_AVX=1, PERF_WITH_AVX2=1, PERF_WITH_AVX512=1, TORCH_VERSION=1.13.1, USE_CUDA=ON, USE_CUDNN=ON, USE_EXCEPTION_PTR=1, USE_GFLAGS=OFF, USE_GLOG=OFF, USE_MKL=ON, USE_MKLDNN=ON, USE_MPI=OFF, USE_NCCL=ON, USE_NNPACK=ON, USE_OPENMP=ON, USE_ROCM=OFF, + +TorchVision: 0.14.1 +OpenCV: 4.7.0 +MMCV: 1.7.1 +MMCV Compiler: GCC 9.3 +MMCV CUDA Compiler: 11.6 +MMSegmentation: 0.30.0+ab851eb +------------------------------------------------------------ + +2023-03-04 01:14:52,497 - mmseg - INFO - Distributed training: True +2023-03-04 01:14:53,186 - mmseg - INFO - Config: +norm_cfg = dict(type='SyncBN', requires_grad=True) +checkpoint = 'work_dirs2/segformer_mit_b2_segformer_head_unet_fc_single_step_ade_pretrained_freeze_embed_80k_ade20k151/best_mIoU_iter_64000.pth' +model = dict( + type='EncoderDecoderDiffusion', + freeze_parameters=['backbone', 'decode_head'], + pretrained= + 'work_dirs2/segformer_mit_b2_segformer_head_unet_fc_single_step_ade_pretrained_freeze_embed_80k_ade20k151/best_mIoU_iter_64000.pth', + backbone=dict( + type='MixVisionTransformerCustomInitWeights', + in_channels=3, + embed_dims=64, + num_stages=4, + num_layers=[3, 4, 6, 3], + num_heads=[1, 2, 5, 8], + patch_sizes=[7, 3, 3, 3], + sr_ratios=[8, 4, 2, 1], + out_indices=(0, 1, 2, 3), + mlp_ratio=4, + qkv_bias=True, + drop_rate=0.0, + attn_drop_rate=0.0, + drop_path_rate=0.1), + decode_head=dict( + type='SegformerHeadUnetFCHeadMultiStep', + pretrained= + 'work_dirs2/segformer_mit_b2_segformer_head_unet_fc_single_step_ade_pretrained_freeze_embed_80k_ade20k151/best_mIoU_iter_64000.pth', + dim=128, + out_dim=256, + unet_channels=272, + dim_mults=[1, 1, 1], + cat_embedding_dim=16, + diffusion_timesteps=100, + collect_timesteps=[0, 10, 20, 30, 40, 50, 60, 70, 80, 90, 99], + in_channels=[64, 128, 320, 512], + in_index=[0, 1, 2, 3], + channels=256, + dropout_ratio=0.1, + num_classes=151, + norm_cfg=dict(type='SyncBN', requires_grad=True), + align_corners=False, + ignore_index=0, + loss_decode=dict( + type='CrossEntropyLoss', use_sigmoid=False, loss_weight=1.0)), + train_cfg=dict(), + test_cfg=dict(mode='whole')) +dataset_type = 'ADE20K151Dataset' +data_root = 'data/ade/ADEChallengeData2016' +img_norm_cfg = dict( + mean=[123.675, 116.28, 103.53], std=[58.395, 57.12, 57.375], to_rgb=True) +crop_size = (512, 512) +train_pipeline = [ + dict(type='LoadImageFromFile'), + dict(type='LoadAnnotations', reduce_zero_label=False), + dict(type='Resize', img_scale=(2048, 512), ratio_range=(0.5, 2.0)), + dict(type='RandomCrop', crop_size=(512, 512), cat_max_ratio=0.75), + dict(type='RandomFlip', prob=0.5), + dict(type='PhotoMetricDistortion'), + dict( + type='Normalize', + mean=[123.675, 116.28, 103.53], + std=[58.395, 57.12, 57.375], + to_rgb=True), + dict(type='Pad', size=(512, 512), pad_val=0, seg_pad_val=0), + dict(type='DefaultFormatBundle'), + dict(type='Collect', keys=['img', 'gt_semantic_seg']) +] +test_pipeline = [ + dict(type='LoadImageFromFile'), + dict( + type='MultiScaleFlipAug', + img_scale=(2048, 512), + flip=False, + transforms=[ + dict(type='Resize', keep_ratio=True), + dict(type='RandomFlip'), + dict( + type='Normalize', + mean=[123.675, 116.28, 103.53], + std=[58.395, 57.12, 57.375], + to_rgb=True), + dict(type='Pad', size_divisor=16, pad_val=0, seg_pad_val=0), + dict(type='ImageToTensor', keys=['img']), + dict(type='Collect', keys=['img']) + ]) +] +data = dict( + samples_per_gpu=4, + workers_per_gpu=4, + train=dict( + type='ADE20K151Dataset', + data_root='data/ade/ADEChallengeData2016', + img_dir='images/training', + ann_dir='annotations/training', + pipeline=[ + dict(type='LoadImageFromFile'), + dict(type='LoadAnnotations', reduce_zero_label=False), + dict(type='Resize', img_scale=(2048, 512), ratio_range=(0.5, 2.0)), + dict(type='RandomCrop', crop_size=(512, 512), cat_max_ratio=0.75), + dict(type='RandomFlip', prob=0.5), + dict(type='PhotoMetricDistortion'), + dict( + type='Normalize', + mean=[123.675, 116.28, 103.53], + std=[58.395, 57.12, 57.375], + to_rgb=True), + dict(type='Pad', size=(512, 512), pad_val=0, seg_pad_val=0), + dict(type='DefaultFormatBundle'), + dict(type='Collect', keys=['img', 'gt_semantic_seg']) + ]), + val=dict( + type='ADE20K151Dataset', + data_root='data/ade/ADEChallengeData2016', + img_dir='images/validation', + ann_dir='annotations/validation', + pipeline=[ + dict(type='LoadImageFromFile'), + dict( + type='MultiScaleFlipAug', + img_scale=(2048, 512), + flip=False, + transforms=[ + dict(type='Resize', keep_ratio=True), + dict(type='RandomFlip'), + dict( + type='Normalize', + mean=[123.675, 116.28, 103.53], + std=[58.395, 57.12, 57.375], + to_rgb=True), + dict( + type='Pad', size_divisor=16, pad_val=0, seg_pad_val=0), + dict(type='ImageToTensor', keys=['img']), + dict(type='Collect', keys=['img']) + ]) + ]), + test=dict( + type='ADE20K151Dataset', + data_root='data/ade/ADEChallengeData2016', + img_dir='images/validation', + ann_dir='annotations/validation', + pipeline=[ + dict(type='LoadImageFromFile'), + dict( + type='MultiScaleFlipAug', + img_scale=(2048, 512), + flip=False, + transforms=[ + dict(type='Resize', keep_ratio=True), + dict(type='RandomFlip'), + dict( + type='Normalize', + mean=[123.675, 116.28, 103.53], + std=[58.395, 57.12, 57.375], + to_rgb=True), + dict( + type='Pad', size_divisor=16, pad_val=0, seg_pad_val=0), + dict(type='ImageToTensor', keys=['img']), + dict(type='Collect', keys=['img']) + ]) + ])) +log_config = dict( + interval=50, hooks=[dict(type='TextLoggerHook', by_epoch=False)]) +dist_params = dict(backend='nccl') +log_level = 'INFO' +load_from = None +resume_from = None +workflow = [('train', 1)] +cudnn_benchmark = True +optimizer = dict( + type='AdamW', lr=0.00015, betas=[0.9, 0.96], weight_decay=0.045) +optimizer_config = dict() +lr_config = dict( + policy='step', + warmup='linear', + warmup_iters=1000, + warmup_ratio=1e-06, + step=20000, + gamma=0.5, + min_lr=1e-06, + by_epoch=False) +runner = dict(type='IterBasedRunner', max_iters=160000) +checkpoint_config = dict(by_epoch=False, interval=16000, max_keep_ckpts=1) +evaluation = dict( + interval=16000, metric='mIoU', pre_eval=True, save_best='mIoU') +custom_hooks = [ + dict( + type='ConstantMomentumEMAHook', + momentum=0.01, + interval=25, + eval_interval=16000, + auto_resume=True, + priority=49) +] +work_dir = './work_dirs2/ablation_segformer_mit_b2_segformer_head_unet_fc_small_multi_step_ade_single_stage' +gpu_ids = range(0, 8) +auto_resume = True + +2023-03-04 01:14:57,501 - mmseg - INFO - Set random seed to 768958202, deterministic: False +2023-03-04 01:14:57,767 - mmseg - INFO - Parameters in backbone freezed! +2023-03-04 01:14:57,768 - mmseg - INFO - Trainable parameters in SegformerHeadUnetFCHeadMultiStep: ['unet.init_conv.weight', 'unet.init_conv.bias', 'unet.time_mlp.1.weight', 'unet.time_mlp.1.bias', 'unet.time_mlp.3.weight', 'unet.time_mlp.3.bias', 'unet.downs.0.0.mlp.1.weight', 'unet.downs.0.0.mlp.1.bias', 'unet.downs.0.0.block1.proj.weight', 'unet.downs.0.0.block1.proj.bias', 'unet.downs.0.0.block1.norm.weight', 'unet.downs.0.0.block1.norm.bias', 'unet.downs.0.0.block2.proj.weight', 'unet.downs.0.0.block2.proj.bias', 'unet.downs.0.0.block2.norm.weight', 'unet.downs.0.0.block2.norm.bias', 'unet.downs.0.1.mlp.1.weight', 'unet.downs.0.1.mlp.1.bias', 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'unet.mid_block2.block1.proj.bias', 'unet.mid_block2.block1.norm.weight', 'unet.mid_block2.block1.norm.bias', 'unet.mid_block2.block2.proj.weight', 'unet.mid_block2.block2.proj.bias', 'unet.mid_block2.block2.norm.weight', 'unet.mid_block2.block2.norm.bias', 'unet.final_res_block.mlp.1.weight', 'unet.final_res_block.mlp.1.bias', 'unet.final_res_block.block1.proj.weight', 'unet.final_res_block.block1.proj.bias', 'unet.final_res_block.block1.norm.weight', 'unet.final_res_block.block1.norm.bias', 'unet.final_res_block.block2.proj.weight', 'unet.final_res_block.block2.proj.bias', 'unet.final_res_block.block2.norm.weight', 'unet.final_res_block.block2.norm.bias', 'unet.final_res_block.res_conv.weight', 'unet.final_res_block.res_conv.bias', 'unet.final_conv.weight', 'unet.final_conv.bias', 'conv_seg_new.weight', 'conv_seg_new.bias'] +2023-03-04 01:14:57,768 - mmseg - INFO - Parameters in decode_head freezed! +2023-03-04 01:14:57,788 - mmseg - INFO - load checkpoint from local path: work_dirs2/segformer_mit_b2_segformer_head_unet_fc_single_step_ade_pretrained_freeze_embed_80k_ade20k151/best_mIoU_iter_64000.pth +2023-03-04 01:14:58,577 - mmseg - WARNING - The model and loaded state dict do not match exactly + +unexpected key in source state_dict: decode_head.convs.0.conv.weight, decode_head.convs.0.bn.weight, decode_head.convs.0.bn.bias, decode_head.convs.0.bn.running_mean, decode_head.convs.0.bn.running_var, decode_head.convs.0.bn.num_batches_tracked, decode_head.convs.1.conv.weight, decode_head.convs.1.bn.weight, decode_head.convs.1.bn.bias, decode_head.convs.1.bn.running_mean, decode_head.convs.1.bn.running_var, decode_head.convs.1.bn.num_batches_tracked, decode_head.convs.2.conv.weight, decode_head.convs.2.bn.weight, decode_head.convs.2.bn.bias, decode_head.convs.2.bn.running_mean, decode_head.convs.2.bn.running_var, decode_head.convs.2.bn.num_batches_tracked, decode_head.convs.3.conv.weight, decode_head.convs.3.bn.weight, decode_head.convs.3.bn.bias, 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decode_head.unet.final_conv.bias, decode_head.conv_seg_new.weight, decode_head.conv_seg_new.bias, decode_head.embed.weight + +2023-03-04 01:14:58,594 - mmseg - INFO - load checkpoint from local path: work_dirs2/segformer_mit_b2_segformer_head_unet_fc_single_step_ade_pretrained_freeze_embed_80k_ade20k151/best_mIoU_iter_64000.pth +2023-03-04 01:14:59,029 - mmseg - WARNING - The model and loaded state dict do not match exactly + +unexpected key in source state_dict: backbone.layers.0.0.projection.weight, backbone.layers.0.0.projection.bias, backbone.layers.0.0.norm.weight, backbone.layers.0.0.norm.bias, backbone.layers.0.1.0.norm1.weight, backbone.layers.0.1.0.norm1.bias, backbone.layers.0.1.0.attn.attn.in_proj_weight, backbone.layers.0.1.0.attn.attn.in_proj_bias, backbone.layers.0.1.0.attn.attn.out_proj.weight, backbone.layers.0.1.0.attn.attn.out_proj.bias, backbone.layers.0.1.0.attn.sr.weight, backbone.layers.0.1.0.attn.sr.bias, backbone.layers.0.1.0.attn.norm.weight, 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MixVisionTransformerCustomInitWeights( + (layers): ModuleList( + (0): ModuleList( + (0): PatchEmbed( + (projection): Conv2d(3, 64, kernel_size=(7, 7), stride=(4, 4), padding=(3, 3)) + (norm): LayerNorm((64,), eps=1e-06, elementwise_affine=True) + ) + (1): ModuleList( + (0): TransformerEncoderLayer( + (norm1): LayerNorm((64,), eps=1e-06, elementwise_affine=True) + (attn): EfficientMultiheadAttention( + (attn): MultiheadAttention( + (out_proj): NonDynamicallyQuantizableLinear(in_features=64, out_features=64, bias=True) + ) + (proj_drop): Dropout(p=0.0, inplace=False) + (dropout_layer): DropPath() + (sr): Conv2d(64, 64, kernel_size=(8, 8), stride=(8, 8)) + (norm): LayerNorm((64,), eps=1e-06, elementwise_affine=True) + ) + (norm2): LayerNorm((64,), eps=1e-06, elementwise_affine=True) + (ffn): MixFFN( + (activate): GELU(approximate='none') + (layers): Sequential( + (0): Conv2d(64, 256, kernel_size=(1, 1), stride=(1, 1)) + (1): Conv2d(256, 256, kernel_size=(3, 3), stride=(1, 1), padding=(1, 1), groups=256) + (2): GELU(approximate='none') + (3): Dropout(p=0.0, inplace=False) + (4): Conv2d(256, 64, kernel_size=(1, 1), stride=(1, 1)) + (5): Dropout(p=0.0, inplace=False) + ) + (dropout_layer): DropPath() + ) + ) + (1): TransformerEncoderLayer( + (norm1): LayerNorm((64,), eps=1e-06, elementwise_affine=True) + (attn): EfficientMultiheadAttention( + (attn): MultiheadAttention( + (out_proj): NonDynamicallyQuantizableLinear(in_features=64, out_features=64, bias=True) + ) + (proj_drop): Dropout(p=0.0, inplace=False) + (dropout_layer): DropPath() + (sr): Conv2d(64, 64, kernel_size=(8, 8), stride=(8, 8)) + (norm): LayerNorm((64,), eps=1e-06, elementwise_affine=True) + ) + (norm2): LayerNorm((64,), eps=1e-06, elementwise_affine=True) + (ffn): MixFFN( + (activate): GELU(approximate='none') + (layers): Sequential( + (0): Conv2d(64, 256, kernel_size=(1, 1), stride=(1, 1)) + (1): Conv2d(256, 256, kernel_size=(3, 3), stride=(1, 1), padding=(1, 1), groups=256) + (2): GELU(approximate='none') + (3): Dropout(p=0.0, inplace=False) + (4): Conv2d(256, 64, kernel_size=(1, 1), stride=(1, 1)) + (5): Dropout(p=0.0, inplace=False) + ) + (dropout_layer): DropPath() + ) + ) + (2): TransformerEncoderLayer( + (norm1): LayerNorm((64,), eps=1e-06, elementwise_affine=True) + (attn): EfficientMultiheadAttention( + (attn): MultiheadAttention( + (out_proj): NonDynamicallyQuantizableLinear(in_features=64, out_features=64, bias=True) + ) + (proj_drop): Dropout(p=0.0, inplace=False) + (dropout_layer): DropPath() + (sr): Conv2d(64, 64, kernel_size=(8, 8), stride=(8, 8)) + (norm): LayerNorm((64,), eps=1e-06, elementwise_affine=True) + ) + (norm2): LayerNorm((64,), eps=1e-06, elementwise_affine=True) + (ffn): MixFFN( + (activate): GELU(approximate='none') + (layers): Sequential( + (0): Conv2d(64, 256, kernel_size=(1, 1), stride=(1, 1)) + (1): Conv2d(256, 256, kernel_size=(3, 3), stride=(1, 1), padding=(1, 1), groups=256) + (2): GELU(approximate='none') + (3): Dropout(p=0.0, inplace=False) + (4): Conv2d(256, 64, kernel_size=(1, 1), stride=(1, 1)) + (5): Dropout(p=0.0, inplace=False) + ) + (dropout_layer): DropPath() + ) + ) + ) + (2): LayerNorm((64,), eps=1e-06, elementwise_affine=True) + ) + (1): ModuleList( + (0): PatchEmbed( + (projection): Conv2d(64, 128, kernel_size=(3, 3), stride=(2, 2), padding=(1, 1)) + (norm): LayerNorm((128,), eps=1e-06, elementwise_affine=True) + ) + (1): ModuleList( + (0): TransformerEncoderLayer( + (norm1): LayerNorm((128,), eps=1e-06, elementwise_affine=True) + (attn): EfficientMultiheadAttention( + (attn): MultiheadAttention( + (out_proj): NonDynamicallyQuantizableLinear(in_features=128, out_features=128, bias=True) + ) + (proj_drop): Dropout(p=0.0, inplace=False) + (dropout_layer): DropPath() + (sr): Conv2d(128, 128, kernel_size=(4, 4), stride=(4, 4)) + (norm): LayerNorm((128,), eps=1e-06, elementwise_affine=True) + ) + (norm2): LayerNorm((128,), eps=1e-06, elementwise_affine=True) + (ffn): MixFFN( + (activate): GELU(approximate='none') + (layers): Sequential( + (0): Conv2d(128, 512, kernel_size=(1, 1), stride=(1, 1)) + (1): Conv2d(512, 512, kernel_size=(3, 3), stride=(1, 1), padding=(1, 1), groups=512) + (2): GELU(approximate='none') + (3): Dropout(p=0.0, inplace=False) + (4): Conv2d(512, 128, kernel_size=(1, 1), stride=(1, 1)) + (5): Dropout(p=0.0, inplace=False) + ) + (dropout_layer): DropPath() + ) + ) + (1): TransformerEncoderLayer( + (norm1): LayerNorm((128,), eps=1e-06, elementwise_affine=True) + (attn): EfficientMultiheadAttention( + (attn): MultiheadAttention( + (out_proj): NonDynamicallyQuantizableLinear(in_features=128, out_features=128, bias=True) + ) + (proj_drop): Dropout(p=0.0, inplace=False) + (dropout_layer): DropPath() + (sr): Conv2d(128, 128, kernel_size=(4, 4), stride=(4, 4)) + (norm): LayerNorm((128,), eps=1e-06, elementwise_affine=True) + ) + (norm2): LayerNorm((128,), eps=1e-06, elementwise_affine=True) + (ffn): MixFFN( + (activate): GELU(approximate='none') + (layers): Sequential( + (0): Conv2d(128, 512, kernel_size=(1, 1), stride=(1, 1)) + (1): Conv2d(512, 512, kernel_size=(3, 3), stride=(1, 1), padding=(1, 1), groups=512) + (2): GELU(approximate='none') + (3): Dropout(p=0.0, inplace=False) + (4): Conv2d(512, 128, kernel_size=(1, 1), stride=(1, 1)) + (5): Dropout(p=0.0, inplace=False) + ) + (dropout_layer): DropPath() + ) + ) + (2): TransformerEncoderLayer( + (norm1): LayerNorm((128,), eps=1e-06, elementwise_affine=True) + (attn): EfficientMultiheadAttention( + (attn): MultiheadAttention( + (out_proj): NonDynamicallyQuantizableLinear(in_features=128, out_features=128, bias=True) + ) + (proj_drop): Dropout(p=0.0, inplace=False) + (dropout_layer): DropPath() + (sr): Conv2d(128, 128, kernel_size=(4, 4), stride=(4, 4)) + (norm): LayerNorm((128,), eps=1e-06, elementwise_affine=True) + ) + (norm2): LayerNorm((128,), eps=1e-06, elementwise_affine=True) + (ffn): MixFFN( + (activate): GELU(approximate='none') + (layers): Sequential( + (0): Conv2d(128, 512, kernel_size=(1, 1), stride=(1, 1)) + (1): Conv2d(512, 512, kernel_size=(3, 3), stride=(1, 1), padding=(1, 1), groups=512) + (2): GELU(approximate='none') + (3): Dropout(p=0.0, inplace=False) + (4): Conv2d(512, 128, kernel_size=(1, 1), stride=(1, 1)) + (5): Dropout(p=0.0, inplace=False) + ) + (dropout_layer): DropPath() + ) + ) + (3): TransformerEncoderLayer( + (norm1): LayerNorm((128,), eps=1e-06, elementwise_affine=True) + (attn): EfficientMultiheadAttention( + (attn): MultiheadAttention( + (out_proj): NonDynamicallyQuantizableLinear(in_features=128, out_features=128, bias=True) + ) + (proj_drop): Dropout(p=0.0, inplace=False) + (dropout_layer): DropPath() + (sr): Conv2d(128, 128, kernel_size=(4, 4), stride=(4, 4)) + (norm): LayerNorm((128,), eps=1e-06, elementwise_affine=True) + ) + (norm2): LayerNorm((128,), eps=1e-06, elementwise_affine=True) + (ffn): MixFFN( + (activate): GELU(approximate='none') + (layers): Sequential( + (0): Conv2d(128, 512, kernel_size=(1, 1), stride=(1, 1)) + (1): Conv2d(512, 512, kernel_size=(3, 3), stride=(1, 1), padding=(1, 1), groups=512) + (2): GELU(approximate='none') + (3): Dropout(p=0.0, inplace=False) + (4): Conv2d(512, 128, kernel_size=(1, 1), stride=(1, 1)) + (5): Dropout(p=0.0, inplace=False) + ) + (dropout_layer): DropPath() + ) + ) + ) + (2): LayerNorm((128,), eps=1e-06, elementwise_affine=True) + ) + (2): ModuleList( + (0): PatchEmbed( + (projection): Conv2d(128, 320, kernel_size=(3, 3), stride=(2, 2), padding=(1, 1)) + (norm): LayerNorm((320,), eps=1e-06, elementwise_affine=True) + ) + (1): ModuleList( + (0): TransformerEncoderLayer( + (norm1): LayerNorm((320,), eps=1e-06, elementwise_affine=True) + (attn): EfficientMultiheadAttention( + (attn): MultiheadAttention( + (out_proj): NonDynamicallyQuantizableLinear(in_features=320, out_features=320, bias=True) + ) + (proj_drop): Dropout(p=0.0, inplace=False) + (dropout_layer): DropPath() + (sr): Conv2d(320, 320, kernel_size=(2, 2), stride=(2, 2)) + (norm): LayerNorm((320,), eps=1e-06, elementwise_affine=True) + ) + (norm2): LayerNorm((320,), eps=1e-06, elementwise_affine=True) + (ffn): MixFFN( + (activate): GELU(approximate='none') + (layers): Sequential( + (0): Conv2d(320, 1280, kernel_size=(1, 1), stride=(1, 1)) + (1): Conv2d(1280, 1280, kernel_size=(3, 3), stride=(1, 1), padding=(1, 1), groups=1280) + (2): GELU(approximate='none') + (3): Dropout(p=0.0, inplace=False) + (4): Conv2d(1280, 320, kernel_size=(1, 1), stride=(1, 1)) + (5): Dropout(p=0.0, inplace=False) + ) + (dropout_layer): DropPath() + ) + ) + (1): TransformerEncoderLayer( + (norm1): LayerNorm((320,), eps=1e-06, elementwise_affine=True) + (attn): EfficientMultiheadAttention( + (attn): MultiheadAttention( + (out_proj): NonDynamicallyQuantizableLinear(in_features=320, out_features=320, bias=True) + ) + (proj_drop): Dropout(p=0.0, inplace=False) + (dropout_layer): DropPath() + (sr): Conv2d(320, 320, kernel_size=(2, 2), stride=(2, 2)) + (norm): LayerNorm((320,), eps=1e-06, elementwise_affine=True) + ) + (norm2): LayerNorm((320,), eps=1e-06, elementwise_affine=True) + (ffn): MixFFN( + (activate): GELU(approximate='none') + (layers): Sequential( + (0): Conv2d(320, 1280, kernel_size=(1, 1), stride=(1, 1)) + (1): Conv2d(1280, 1280, kernel_size=(3, 3), stride=(1, 1), padding=(1, 1), groups=1280) + (2): GELU(approximate='none') + (3): Dropout(p=0.0, inplace=False) + (4): Conv2d(1280, 320, kernel_size=(1, 1), stride=(1, 1)) + (5): Dropout(p=0.0, inplace=False) + ) + (dropout_layer): DropPath() + ) + ) + (2): TransformerEncoderLayer( + (norm1): LayerNorm((320,), eps=1e-06, elementwise_affine=True) + (attn): EfficientMultiheadAttention( + (attn): MultiheadAttention( + (out_proj): NonDynamicallyQuantizableLinear(in_features=320, out_features=320, bias=True) + ) + (proj_drop): Dropout(p=0.0, inplace=False) + (dropout_layer): DropPath() + (sr): Conv2d(320, 320, kernel_size=(2, 2), stride=(2, 2)) + (norm): LayerNorm((320,), eps=1e-06, elementwise_affine=True) + ) + (norm2): LayerNorm((320,), eps=1e-06, elementwise_affine=True) + (ffn): MixFFN( + (activate): GELU(approximate='none') + (layers): Sequential( + (0): Conv2d(320, 1280, kernel_size=(1, 1), stride=(1, 1)) + (1): Conv2d(1280, 1280, kernel_size=(3, 3), stride=(1, 1), padding=(1, 1), groups=1280) + (2): GELU(approximate='none') + (3): Dropout(p=0.0, inplace=False) + (4): Conv2d(1280, 320, kernel_size=(1, 1), stride=(1, 1)) + (5): Dropout(p=0.0, inplace=False) + ) + (dropout_layer): DropPath() + ) + ) + (3): TransformerEncoderLayer( + (norm1): LayerNorm((320,), eps=1e-06, elementwise_affine=True) + (attn): EfficientMultiheadAttention( + (attn): MultiheadAttention( + (out_proj): NonDynamicallyQuantizableLinear(in_features=320, out_features=320, bias=True) + ) + (proj_drop): Dropout(p=0.0, inplace=False) + (dropout_layer): DropPath() + (sr): Conv2d(320, 320, kernel_size=(2, 2), stride=(2, 2)) + (norm): LayerNorm((320,), eps=1e-06, elementwise_affine=True) + ) + (norm2): LayerNorm((320,), eps=1e-06, elementwise_affine=True) + (ffn): MixFFN( + (activate): GELU(approximate='none') + (layers): Sequential( + (0): Conv2d(320, 1280, kernel_size=(1, 1), stride=(1, 1)) + (1): Conv2d(1280, 1280, kernel_size=(3, 3), stride=(1, 1), padding=(1, 1), groups=1280) + (2): GELU(approximate='none') + (3): Dropout(p=0.0, inplace=False) + (4): Conv2d(1280, 320, kernel_size=(1, 1), stride=(1, 1)) + (5): Dropout(p=0.0, inplace=False) + ) + (dropout_layer): DropPath() + ) + ) + (4): TransformerEncoderLayer( + (norm1): LayerNorm((320,), eps=1e-06, elementwise_affine=True) + (attn): EfficientMultiheadAttention( + (attn): MultiheadAttention( + (out_proj): NonDynamicallyQuantizableLinear(in_features=320, out_features=320, bias=True) + ) + (proj_drop): Dropout(p=0.0, inplace=False) + (dropout_layer): DropPath() + (sr): Conv2d(320, 320, kernel_size=(2, 2), stride=(2, 2)) + (norm): LayerNorm((320,), eps=1e-06, elementwise_affine=True) + ) + (norm2): LayerNorm((320,), eps=1e-06, elementwise_affine=True) + (ffn): MixFFN( + (activate): GELU(approximate='none') + (layers): Sequential( + (0): Conv2d(320, 1280, kernel_size=(1, 1), stride=(1, 1)) + (1): Conv2d(1280, 1280, kernel_size=(3, 3), stride=(1, 1), padding=(1, 1), groups=1280) + (2): GELU(approximate='none') + (3): Dropout(p=0.0, inplace=False) + (4): Conv2d(1280, 320, kernel_size=(1, 1), stride=(1, 1)) + (5): Dropout(p=0.0, inplace=False) + ) + (dropout_layer): DropPath() + ) + ) + (5): TransformerEncoderLayer( + (norm1): LayerNorm((320,), eps=1e-06, elementwise_affine=True) + (attn): EfficientMultiheadAttention( + (attn): MultiheadAttention( + (out_proj): NonDynamicallyQuantizableLinear(in_features=320, out_features=320, bias=True) + ) + (proj_drop): Dropout(p=0.0, inplace=False) + (dropout_layer): DropPath() + (sr): Conv2d(320, 320, kernel_size=(2, 2), stride=(2, 2)) + (norm): LayerNorm((320,), eps=1e-06, elementwise_affine=True) + ) + (norm2): LayerNorm((320,), eps=1e-06, elementwise_affine=True) + (ffn): MixFFN( + (activate): GELU(approximate='none') + (layers): Sequential( + (0): Conv2d(320, 1280, kernel_size=(1, 1), stride=(1, 1)) + (1): Conv2d(1280, 1280, kernel_size=(3, 3), stride=(1, 1), padding=(1, 1), groups=1280) + (2): GELU(approximate='none') + (3): Dropout(p=0.0, inplace=False) + (4): Conv2d(1280, 320, kernel_size=(1, 1), stride=(1, 1)) + (5): Dropout(p=0.0, inplace=False) + ) + (dropout_layer): DropPath() + ) + ) + ) + (2): LayerNorm((320,), eps=1e-06, elementwise_affine=True) + ) + (3): ModuleList( + (0): PatchEmbed( + (projection): Conv2d(320, 512, kernel_size=(3, 3), stride=(2, 2), padding=(1, 1)) + (norm): LayerNorm((512,), eps=1e-06, elementwise_affine=True) + ) + (1): ModuleList( + (0): TransformerEncoderLayer( + (norm1): LayerNorm((512,), eps=1e-06, elementwise_affine=True) + (attn): EfficientMultiheadAttention( + (attn): MultiheadAttention( + (out_proj): NonDynamicallyQuantizableLinear(in_features=512, out_features=512, bias=True) + ) + (proj_drop): Dropout(p=0.0, inplace=False) + (dropout_layer): DropPath() + ) + (norm2): LayerNorm((512,), eps=1e-06, elementwise_affine=True) + (ffn): MixFFN( + (activate): GELU(approximate='none') + (layers): Sequential( + (0): Conv2d(512, 2048, kernel_size=(1, 1), stride=(1, 1)) + (1): Conv2d(2048, 2048, kernel_size=(3, 3), stride=(1, 1), padding=(1, 1), groups=2048) + (2): GELU(approximate='none') + (3): Dropout(p=0.0, inplace=False) + (4): Conv2d(2048, 512, kernel_size=(1, 1), stride=(1, 1)) + (5): Dropout(p=0.0, inplace=False) + ) + (dropout_layer): DropPath() + ) + ) + (1): TransformerEncoderLayer( + (norm1): LayerNorm((512,), eps=1e-06, elementwise_affine=True) + (attn): EfficientMultiheadAttention( + (attn): MultiheadAttention( + (out_proj): NonDynamicallyQuantizableLinear(in_features=512, out_features=512, bias=True) + ) + (proj_drop): Dropout(p=0.0, inplace=False) + (dropout_layer): DropPath() + ) + (norm2): LayerNorm((512,), eps=1e-06, elementwise_affine=True) + (ffn): MixFFN( + (activate): GELU(approximate='none') + (layers): Sequential( + (0): Conv2d(512, 2048, kernel_size=(1, 1), stride=(1, 1)) + (1): Conv2d(2048, 2048, kernel_size=(3, 3), stride=(1, 1), padding=(1, 1), groups=2048) + (2): GELU(approximate='none') + (3): Dropout(p=0.0, inplace=False) + (4): Conv2d(2048, 512, kernel_size=(1, 1), stride=(1, 1)) + (5): Dropout(p=0.0, inplace=False) + ) + (dropout_layer): DropPath() + ) + ) + (2): TransformerEncoderLayer( + (norm1): LayerNorm((512,), eps=1e-06, elementwise_affine=True) + (attn): EfficientMultiheadAttention( + (attn): MultiheadAttention( + (out_proj): NonDynamicallyQuantizableLinear(in_features=512, out_features=512, bias=True) + ) + (proj_drop): Dropout(p=0.0, inplace=False) + (dropout_layer): DropPath() + ) + (norm2): LayerNorm((512,), eps=1e-06, elementwise_affine=True) + (ffn): MixFFN( + (activate): GELU(approximate='none') + (layers): Sequential( + (0): Conv2d(512, 2048, kernel_size=(1, 1), stride=(1, 1)) + (1): Conv2d(2048, 2048, kernel_size=(3, 3), stride=(1, 1), padding=(1, 1), groups=2048) + (2): GELU(approximate='none') + (3): Dropout(p=0.0, inplace=False) + (4): Conv2d(2048, 512, kernel_size=(1, 1), stride=(1, 1)) + (5): Dropout(p=0.0, inplace=False) + ) + (dropout_layer): DropPath() + ) + ) + ) + (2): LayerNorm((512,), eps=1e-06, elementwise_affine=True) + ) + ) + ) + init_cfg={'type': 'Pretrained', 'checkpoint': 'work_dirs2/segformer_mit_b2_segformer_head_unet_fc_single_step_ade_pretrained_freeze_embed_80k_ade20k151/best_mIoU_iter_64000.pth'} + (decode_head): SegformerHeadUnetFCHeadMultiStep( + input_transform=multiple_select, ignore_index=0, align_corners=False + (loss_decode): CrossEntropyLoss(avg_non_ignore=False) + (conv_seg): None + (dropout): Dropout2d(p=0.1, inplace=False) + (convs): ModuleList( + (0): ConvModule( + (conv): Conv2d(64, 256, kernel_size=(1, 1), stride=(1, 1), bias=False) + (bn): SyncBatchNorm(256, eps=1e-05, momentum=0.1, affine=True, track_running_stats=True) + (activate): ReLU(inplace=True) + ) + (1): ConvModule( + (conv): Conv2d(128, 256, kernel_size=(1, 1), stride=(1, 1), bias=False) + (bn): SyncBatchNorm(256, eps=1e-05, momentum=0.1, affine=True, track_running_stats=True) + (activate): ReLU(inplace=True) + ) + (2): ConvModule( + (conv): Conv2d(320, 256, kernel_size=(1, 1), stride=(1, 1), bias=False) + (bn): SyncBatchNorm(256, eps=1e-05, momentum=0.1, affine=True, track_running_stats=True) + (activate): ReLU(inplace=True) + ) + (3): ConvModule( + (conv): Conv2d(512, 256, kernel_size=(1, 1), stride=(1, 1), bias=False) + (bn): SyncBatchNorm(256, eps=1e-05, momentum=0.1, affine=True, track_running_stats=True) + (activate): ReLU(inplace=True) + ) + ) + (fusion_conv): ConvModule( + (conv): Conv2d(1024, 256, kernel_size=(1, 1), stride=(1, 1), bias=False) + (bn): SyncBatchNorm(256, eps=1e-05, momentum=0.1, affine=True, track_running_stats=True) + (activate): ReLU(inplace=True) + ) + (unet): Unet( + (init_conv): Conv2d(272, 128, kernel_size=(7, 7), stride=(1, 1), padding=(3, 3)) + (time_mlp): Sequential( + (0): SinusoidalPosEmb() + (1): Linear(in_features=128, out_features=512, bias=True) + (2): GELU(approximate='none') + (3): Linear(in_features=512, out_features=512, bias=True) + ) + (downs): ModuleList( + (0): ModuleList( + (0): ResnetBlock( + (mlp): Sequential( + (0): SiLU() + (1): Linear(in_features=512, out_features=256, bias=True) + ) + (block1): Block( + (proj): WeightStandardizedConv2d(128, 128, kernel_size=(3, 3), stride=(1, 1), padding=(1, 1)) + (norm): GroupNorm(8, 128, eps=1e-05, affine=True) + (act): SiLU() + ) + (block2): Block( + (proj): WeightStandardizedConv2d(128, 128, kernel_size=(3, 3), stride=(1, 1), padding=(1, 1)) + (norm): GroupNorm(8, 128, eps=1e-05, affine=True) + (act): SiLU() + ) + (res_conv): Identity() + ) + (1): ResnetBlock( + (mlp): Sequential( + (0): SiLU() + (1): Linear(in_features=512, out_features=256, bias=True) + ) + (block1): Block( + (proj): WeightStandardizedConv2d(128, 128, kernel_size=(3, 3), stride=(1, 1), padding=(1, 1)) + (norm): GroupNorm(8, 128, eps=1e-05, affine=True) + (act): SiLU() + ) + (block2): Block( + (proj): WeightStandardizedConv2d(128, 128, kernel_size=(3, 3), stride=(1, 1), padding=(1, 1)) + (norm): GroupNorm(8, 128, eps=1e-05, affine=True) + (act): SiLU() + ) + (res_conv): Identity() + ) + (2): Residual( + (fn): PreNorm( + (fn): LinearAttention( + (to_qkv): Conv2d(128, 384, kernel_size=(1, 1), stride=(1, 1), bias=False) + (to_out): Sequential( + (0): Conv2d(128, 128, kernel_size=(1, 1), stride=(1, 1)) + (1): LayerNorm() + ) + ) + (norm): LayerNorm() + ) + ) + (3): Conv2d(128, 128, kernel_size=(4, 4), stride=(2, 2), padding=(1, 1)) + ) + (1): ModuleList( + (0): ResnetBlock( + (mlp): Sequential( + (0): SiLU() + (1): Linear(in_features=512, out_features=256, bias=True) + ) + (block1): Block( + (proj): WeightStandardizedConv2d(128, 128, kernel_size=(3, 3), stride=(1, 1), padding=(1, 1)) + (norm): GroupNorm(8, 128, eps=1e-05, affine=True) + (act): SiLU() + ) + (block2): Block( + (proj): WeightStandardizedConv2d(128, 128, kernel_size=(3, 3), stride=(1, 1), padding=(1, 1)) + (norm): GroupNorm(8, 128, eps=1e-05, affine=True) + (act): SiLU() + ) + (res_conv): Identity() + ) + (1): ResnetBlock( + (mlp): Sequential( + (0): SiLU() + (1): Linear(in_features=512, out_features=256, bias=True) + ) + (block1): Block( + (proj): WeightStandardizedConv2d(128, 128, kernel_size=(3, 3), stride=(1, 1), padding=(1, 1)) + (norm): GroupNorm(8, 128, eps=1e-05, affine=True) + (act): SiLU() + ) + (block2): Block( + (proj): WeightStandardizedConv2d(128, 128, kernel_size=(3, 3), stride=(1, 1), padding=(1, 1)) + (norm): GroupNorm(8, 128, eps=1e-05, affine=True) + (act): SiLU() + ) + (res_conv): Identity() + ) + (2): Residual( + (fn): PreNorm( + (fn): LinearAttention( + (to_qkv): Conv2d(128, 384, kernel_size=(1, 1), stride=(1, 1), bias=False) + (to_out): Sequential( + (0): Conv2d(128, 128, kernel_size=(1, 1), stride=(1, 1)) + (1): LayerNorm() + ) + ) + (norm): LayerNorm() + ) + ) + (3): Conv2d(128, 128, kernel_size=(4, 4), stride=(2, 2), padding=(1, 1)) + ) + (2): ModuleList( + (0): ResnetBlock( + (mlp): Sequential( + (0): SiLU() + (1): Linear(in_features=512, out_features=256, bias=True) + ) + (block1): Block( + (proj): WeightStandardizedConv2d(128, 128, kernel_size=(3, 3), stride=(1, 1), padding=(1, 1)) + (norm): GroupNorm(8, 128, eps=1e-05, affine=True) + (act): SiLU() + ) + (block2): Block( + (proj): WeightStandardizedConv2d(128, 128, kernel_size=(3, 3), stride=(1, 1), padding=(1, 1)) + (norm): GroupNorm(8, 128, eps=1e-05, affine=True) + (act): SiLU() + ) + (res_conv): Identity() + ) + (1): ResnetBlock( + (mlp): Sequential( + (0): SiLU() + (1): Linear(in_features=512, out_features=256, bias=True) + ) + (block1): Block( + (proj): WeightStandardizedConv2d(128, 128, kernel_size=(3, 3), stride=(1, 1), padding=(1, 1)) + (norm): GroupNorm(8, 128, eps=1e-05, affine=True) + (act): SiLU() + ) + (block2): Block( + (proj): WeightStandardizedConv2d(128, 128, kernel_size=(3, 3), stride=(1, 1), padding=(1, 1)) + (norm): GroupNorm(8, 128, eps=1e-05, affine=True) + (act): SiLU() + ) + (res_conv): Identity() + ) + (2): Residual( + (fn): PreNorm( + (fn): LinearAttention( + (to_qkv): Conv2d(128, 384, kernel_size=(1, 1), stride=(1, 1), bias=False) + (to_out): Sequential( + (0): Conv2d(128, 128, kernel_size=(1, 1), stride=(1, 1)) + (1): LayerNorm() + ) + ) + (norm): LayerNorm() + ) + ) + (3): Conv2d(128, 128, kernel_size=(3, 3), stride=(1, 1), padding=(1, 1)) + ) + ) + (ups): ModuleList( + (0): ModuleList( + (0): ResnetBlock( + (mlp): Sequential( + (0): SiLU() + (1): Linear(in_features=512, out_features=256, bias=True) + ) + (block1): Block( + (proj): WeightStandardizedConv2d(256, 128, kernel_size=(3, 3), stride=(1, 1), padding=(1, 1)) + (norm): GroupNorm(8, 128, eps=1e-05, affine=True) + (act): SiLU() + ) + (block2): Block( + (proj): WeightStandardizedConv2d(128, 128, kernel_size=(3, 3), stride=(1, 1), padding=(1, 1)) + (norm): GroupNorm(8, 128, eps=1e-05, affine=True) + (act): SiLU() + ) + (res_conv): Conv2d(256, 128, kernel_size=(1, 1), stride=(1, 1)) + ) + (1): ResnetBlock( + (mlp): Sequential( + (0): SiLU() + (1): Linear(in_features=512, out_features=256, bias=True) + ) + (block1): Block( + (proj): WeightStandardizedConv2d(256, 128, kernel_size=(3, 3), stride=(1, 1), padding=(1, 1)) + (norm): GroupNorm(8, 128, eps=1e-05, affine=True) + (act): SiLU() + ) + (block2): Block( + (proj): WeightStandardizedConv2d(128, 128, kernel_size=(3, 3), stride=(1, 1), padding=(1, 1)) + (norm): GroupNorm(8, 128, eps=1e-05, affine=True) + (act): SiLU() + ) + (res_conv): Conv2d(256, 128, kernel_size=(1, 1), stride=(1, 1)) + ) + (2): Residual( + (fn): PreNorm( + (fn): LinearAttention( + (to_qkv): Conv2d(128, 384, kernel_size=(1, 1), stride=(1, 1), bias=False) + (to_out): Sequential( + (0): Conv2d(128, 128, kernel_size=(1, 1), stride=(1, 1)) + (1): LayerNorm() + ) + ) + (norm): LayerNorm() + ) + ) + (3): Sequential( + (0): Upsample(scale_factor=2.0, mode=nearest) + (1): Conv2d(128, 128, kernel_size=(3, 3), stride=(1, 1), padding=(1, 1)) + ) + ) + (1): ModuleList( + (0): ResnetBlock( + (mlp): Sequential( + (0): SiLU() + (1): Linear(in_features=512, out_features=256, bias=True) + ) + (block1): Block( + (proj): WeightStandardizedConv2d(256, 128, kernel_size=(3, 3), stride=(1, 1), padding=(1, 1)) + (norm): GroupNorm(8, 128, eps=1e-05, affine=True) + (act): SiLU() + ) + (block2): Block( + (proj): WeightStandardizedConv2d(128, 128, kernel_size=(3, 3), stride=(1, 1), padding=(1, 1)) + (norm): GroupNorm(8, 128, eps=1e-05, affine=True) + (act): SiLU() + ) + (res_conv): Conv2d(256, 128, kernel_size=(1, 1), stride=(1, 1)) + ) + (1): ResnetBlock( + (mlp): Sequential( + (0): SiLU() + (1): Linear(in_features=512, out_features=256, bias=True) + ) + (block1): Block( + (proj): WeightStandardizedConv2d(256, 128, kernel_size=(3, 3), stride=(1, 1), padding=(1, 1)) + (norm): GroupNorm(8, 128, eps=1e-05, affine=True) + (act): SiLU() + ) + (block2): Block( + (proj): WeightStandardizedConv2d(128, 128, kernel_size=(3, 3), stride=(1, 1), padding=(1, 1)) + (norm): GroupNorm(8, 128, eps=1e-05, affine=True) + (act): SiLU() + ) + (res_conv): Conv2d(256, 128, kernel_size=(1, 1), stride=(1, 1)) + ) + (2): Residual( + (fn): PreNorm( + (fn): LinearAttention( + (to_qkv): Conv2d(128, 384, kernel_size=(1, 1), stride=(1, 1), bias=False) + (to_out): Sequential( + (0): Conv2d(128, 128, kernel_size=(1, 1), stride=(1, 1)) + (1): LayerNorm() + ) + ) + (norm): LayerNorm() + ) + ) + (3): Sequential( + (0): Upsample(scale_factor=2.0, mode=nearest) + (1): Conv2d(128, 128, kernel_size=(3, 3), stride=(1, 1), padding=(1, 1)) + ) + ) + (2): ModuleList( + (0): ResnetBlock( + (mlp): Sequential( + (0): SiLU() + (1): Linear(in_features=512, out_features=256, bias=True) + ) + (block1): Block( + (proj): WeightStandardizedConv2d(256, 128, kernel_size=(3, 3), stride=(1, 1), padding=(1, 1)) + (norm): GroupNorm(8, 128, eps=1e-05, affine=True) + (act): SiLU() + ) + (block2): Block( + (proj): WeightStandardizedConv2d(128, 128, kernel_size=(3, 3), stride=(1, 1), padding=(1, 1)) + (norm): GroupNorm(8, 128, eps=1e-05, affine=True) + (act): SiLU() + ) + (res_conv): Conv2d(256, 128, kernel_size=(1, 1), stride=(1, 1)) + ) + (1): ResnetBlock( + (mlp): Sequential( + (0): SiLU() + (1): Linear(in_features=512, out_features=256, bias=True) + ) + (block1): Block( + (proj): WeightStandardizedConv2d(256, 128, kernel_size=(3, 3), stride=(1, 1), padding=(1, 1)) + (norm): GroupNorm(8, 128, eps=1e-05, affine=True) + (act): SiLU() + ) + (block2): Block( + (proj): WeightStandardizedConv2d(128, 128, kernel_size=(3, 3), stride=(1, 1), padding=(1, 1)) + (norm): GroupNorm(8, 128, eps=1e-05, affine=True) + (act): SiLU() + ) + (res_conv): Conv2d(256, 128, kernel_size=(1, 1), stride=(1, 1)) + ) + (2): Residual( + (fn): PreNorm( + (fn): LinearAttention( + (to_qkv): Conv2d(128, 384, kernel_size=(1, 1), stride=(1, 1), bias=False) + (to_out): Sequential( + (0): Conv2d(128, 128, kernel_size=(1, 1), stride=(1, 1)) + (1): LayerNorm() + ) + ) + (norm): LayerNorm() + ) + ) + (3): Conv2d(128, 128, kernel_size=(3, 3), stride=(1, 1), padding=(1, 1)) + ) + ) + (mid_block1): ResnetBlock( + (mlp): Sequential( + (0): SiLU() + (1): Linear(in_features=512, out_features=256, bias=True) + ) + (block1): Block( + (proj): WeightStandardizedConv2d(128, 128, kernel_size=(3, 3), stride=(1, 1), padding=(1, 1)) + (norm): GroupNorm(8, 128, eps=1e-05, affine=True) + (act): SiLU() + ) + (block2): Block( + (proj): WeightStandardizedConv2d(128, 128, kernel_size=(3, 3), stride=(1, 1), padding=(1, 1)) + (norm): GroupNorm(8, 128, eps=1e-05, affine=True) + (act): SiLU() + ) + (res_conv): Identity() + ) + (mid_attn): Residual( + (fn): PreNorm( + (fn): Attention( + (to_qkv): Conv2d(128, 384, kernel_size=(1, 1), stride=(1, 1), bias=False) + (to_out): Conv2d(128, 128, kernel_size=(1, 1), stride=(1, 1)) + ) + (norm): LayerNorm() + ) + ) + (mid_block2): ResnetBlock( + (mlp): Sequential( + (0): SiLU() + (1): Linear(in_features=512, out_features=256, bias=True) + ) + (block1): Block( + (proj): WeightStandardizedConv2d(128, 128, kernel_size=(3, 3), stride=(1, 1), padding=(1, 1)) + (norm): GroupNorm(8, 128, eps=1e-05, affine=True) + (act): SiLU() + ) + (block2): Block( + (proj): WeightStandardizedConv2d(128, 128, kernel_size=(3, 3), stride=(1, 1), padding=(1, 1)) + (norm): GroupNorm(8, 128, eps=1e-05, affine=True) + (act): SiLU() + ) + (res_conv): Identity() + ) + (final_res_block): ResnetBlock( + (mlp): Sequential( + (0): SiLU() + (1): Linear(in_features=512, out_features=256, bias=True) + ) + (block1): Block( + (proj): WeightStandardizedConv2d(256, 128, kernel_size=(3, 3), stride=(1, 1), padding=(1, 1)) + (norm): GroupNorm(8, 128, eps=1e-05, affine=True) + (act): SiLU() + ) + (block2): Block( + (proj): WeightStandardizedConv2d(128, 128, kernel_size=(3, 3), stride=(1, 1), padding=(1, 1)) + (norm): GroupNorm(8, 128, eps=1e-05, affine=True) + (act): SiLU() + ) + (res_conv): Conv2d(256, 128, kernel_size=(1, 1), stride=(1, 1)) + ) + (final_conv): Conv2d(128, 256, kernel_size=(1, 1), stride=(1, 1)) + ) + (conv_seg_new): Conv2d(256, 151, kernel_size=(1, 1), stride=(1, 1)) + (embed): Embedding(151, 16) + ) + init_cfg={'type': 'Pretrained', 'checkpoint': 'work_dirs2/segformer_mit_b2_segformer_head_unet_fc_single_step_ade_pretrained_freeze_embed_80k_ade20k151/best_mIoU_iter_64000.pth'} +) +2023-03-04 01:14:59,558 - mmseg - INFO - Loaded 20210 images +2023-03-04 01:15:03,001 - mmseg - INFO - Loaded 2000 images +2023-03-04 01:15:03,004 - mmseg - INFO - Start running, host: laizeqiang@SH-IDC1-10-140-37-115, work_dir: /mnt/petrelfs/laizeqiang/mmseg-baseline/work_dirs2/ablation_segformer_mit_b2_segformer_head_unet_fc_small_multi_step_ade_single_stage +2023-03-04 01:15:03,004 - mmseg - INFO - Hooks will be executed in the following order: +before_run: +(VERY_HIGH ) StepLrUpdaterHook +(49 ) ConstantMomentumEMAHook +(NORMAL ) CheckpointHook +(LOW ) DistEvalHookMultiSteps +(VERY_LOW ) TextLoggerHook + -------------------- +before_train_epoch: +(VERY_HIGH ) StepLrUpdaterHook +(LOW ) IterTimerHook +(LOW ) DistEvalHookMultiSteps +(VERY_LOW ) TextLoggerHook + -------------------- +before_train_iter: +(VERY_HIGH ) StepLrUpdaterHook +(49 ) ConstantMomentumEMAHook +(LOW ) IterTimerHook +(LOW ) DistEvalHookMultiSteps + -------------------- +after_train_iter: +(ABOVE_NORMAL) OptimizerHook +(49 ) ConstantMomentumEMAHook +(NORMAL ) CheckpointHook +(LOW ) IterTimerHook +(LOW ) DistEvalHookMultiSteps +(VERY_LOW ) TextLoggerHook + -------------------- +after_train_epoch: +(NORMAL ) CheckpointHook +(LOW ) DistEvalHookMultiSteps +(VERY_LOW ) TextLoggerHook + -------------------- +before_val_epoch: +(LOW ) IterTimerHook +(VERY_LOW ) TextLoggerHook + -------------------- +before_val_iter: +(LOW ) IterTimerHook + -------------------- +after_val_iter: +(LOW ) IterTimerHook + -------------------- +after_val_epoch: +(VERY_LOW ) TextLoggerHook + -------------------- +after_run: +(VERY_LOW ) TextLoggerHook + -------------------- +2023-03-04 01:15:03,004 - mmseg - INFO - workflow: [('train', 1)], max: 160000 iters +2023-03-04 01:15:03,036 - mmseg - INFO - Checkpoints will be saved to /mnt/petrelfs/laizeqiang/mmseg-baseline/work_dirs2/ablation_segformer_mit_b2_segformer_head_unet_fc_small_multi_step_ade_single_stage by HardDiskBackend. +2023-03-04 01:15:26,281 - mmseg - INFO - Swap parameters (before train) before iter [1] +2023-03-04 01:15:42,516 - mmseg - INFO - Iter [50/160000] lr: 7.350e-06, eta: 14:49:15, time: 0.334, data_time: 0.016, memory: 19921, decode.loss_ce: 0.1890, decode.acc_seg: 92.1193, loss: 0.1890 +2023-03-04 01:15:52,426 - mmseg - INFO - Iter [100/160000] lr: 1.485e-05, eta: 11:48:41, time: 0.198, data_time: 0.007, memory: 19921, decode.loss_ce: 0.2020, decode.acc_seg: 91.7581, loss: 0.2020 +2023-03-04 01:16:02,507 - mmseg - INFO - Iter [150/160000] lr: 2.235e-05, eta: 10:51:08, time: 0.201, data_time: 0.007, memory: 19921, decode.loss_ce: 0.2030, decode.acc_seg: 91.8071, loss: 0.2030 +2023-03-04 01:16:12,857 - mmseg - INFO - Iter [200/160000] lr: 2.985e-05, eta: 10:26:03, time: 0.207, data_time: 0.006, memory: 19921, decode.loss_ce: 0.1952, decode.acc_seg: 91.9721, loss: 0.1952 +2023-03-04 01:16:23,629 - mmseg - INFO - Iter [250/160000] lr: 3.735e-05, eta: 10:15:30, time: 0.216, data_time: 0.006, memory: 19921, decode.loss_ce: 0.2020, decode.acc_seg: 91.6849, loss: 0.2020 +2023-03-04 01:16:33,255 - mmseg - INFO - Iter [300/160000] lr: 4.485e-05, eta: 9:58:02, time: 0.192, data_time: 0.006, memory: 19921, decode.loss_ce: 0.1960, decode.acc_seg: 91.9544, loss: 0.1960 +2023-03-04 01:16:42,908 - mmseg - INFO - Iter [350/160000] lr: 5.235e-05, eta: 9:45:56, time: 0.193, data_time: 0.006, memory: 19921, decode.loss_ce: 0.1977, decode.acc_seg: 91.8264, loss: 0.1977 +2023-03-04 01:16:52,490 - mmseg - INFO - Iter [400/160000] lr: 5.985e-05, eta: 9:36:15, time: 0.192, data_time: 0.006, memory: 19921, decode.loss_ce: 0.2187, decode.acc_seg: 91.0755, loss: 0.2187 +2023-03-04 01:17:02,156 - mmseg - INFO - Iter [450/160000] lr: 6.735e-05, eta: 9:29:10, time: 0.193, data_time: 0.006, memory: 19921, decode.loss_ce: 0.1933, decode.acc_seg: 91.9474, loss: 0.1933 +2023-03-04 01:17:11,642 - mmseg - INFO - Iter [500/160000] lr: 7.485e-05, eta: 9:22:32, time: 0.190, data_time: 0.006, memory: 19921, decode.loss_ce: 0.2036, decode.acc_seg: 91.6239, loss: 0.2036 +2023-03-04 01:17:21,226 - mmseg - INFO - Iter [550/160000] lr: 8.235e-05, eta: 9:17:32, time: 0.192, data_time: 0.006, memory: 19921, decode.loss_ce: 0.2014, decode.acc_seg: 91.6890, loss: 0.2014 +2023-03-04 01:17:30,850 - mmseg - INFO - Iter [600/160000] lr: 8.985e-05, eta: 9:13:31, time: 0.192, data_time: 0.006, memory: 19921, decode.loss_ce: 0.2109, decode.acc_seg: 91.2531, loss: 0.2109 +2023-03-04 01:17:43,002 - mmseg - INFO - Iter [650/160000] lr: 9.735e-05, eta: 9:20:25, time: 0.243, data_time: 0.054, memory: 19921, decode.loss_ce: 0.2044, decode.acc_seg: 91.7231, loss: 0.2044 +2023-03-04 01:17:52,488 - mmseg - INFO - Iter [700/160000] lr: 1.049e-04, eta: 9:16:13, time: 0.190, data_time: 0.006, memory: 19921, decode.loss_ce: 0.2129, decode.acc_seg: 91.2009, loss: 0.2129 +2023-03-04 01:18:02,385 - mmseg - INFO - Iter [750/160000] lr: 1.124e-04, eta: 9:14:00, time: 0.198, data_time: 0.007, memory: 19921, decode.loss_ce: 0.2120, decode.acc_seg: 91.4382, loss: 0.2120 +2023-03-04 01:18:11,976 - mmseg - INFO - Iter [800/160000] lr: 1.199e-04, eta: 9:11:01, time: 0.192, data_time: 0.007, memory: 19921, decode.loss_ce: 0.2200, decode.acc_seg: 91.0601, loss: 0.2200 +2023-03-04 01:18:21,429 - mmseg - INFO - Iter [850/160000] lr: 1.274e-04, eta: 9:07:56, time: 0.189, data_time: 0.007, memory: 19921, decode.loss_ce: 0.2156, decode.acc_seg: 91.2016, loss: 0.2156 +2023-03-04 01:18:30,943 - mmseg - INFO - Iter [900/160000] lr: 1.349e-04, eta: 9:05:22, time: 0.190, data_time: 0.007, memory: 19921, decode.loss_ce: 0.2124, decode.acc_seg: 91.3737, loss: 0.2124 +2023-03-04 01:18:40,715 - mmseg - INFO - Iter [950/160000] lr: 1.424e-04, eta: 9:03:46, time: 0.195, data_time: 0.007, memory: 19921, decode.loss_ce: 0.2142, decode.acc_seg: 91.1732, loss: 0.2142 +2023-03-04 01:18:50,513 - mmseg - INFO - Exp name: ablation_segformer_mit_b2_segformer_head_unet_fc_small_multi_step_ade_single_stage.py +2023-03-04 01:18:50,513 - mmseg - INFO - Iter [1000/160000] lr: 1.499e-04, eta: 9:02:20, time: 0.196, data_time: 0.006, memory: 19921, decode.loss_ce: 0.2216, decode.acc_seg: 91.0803, loss: 0.2216 +2023-03-04 01:19:00,719 - mmseg - INFO - Iter [1050/160000] lr: 1.500e-04, eta: 9:02:08, time: 0.204, data_time: 0.007, memory: 19921, decode.loss_ce: 0.2111, decode.acc_seg: 91.3713, loss: 0.2111 +2023-03-04 01:19:10,373 - mmseg - INFO - Iter [1100/160000] lr: 1.500e-04, eta: 9:00:34, time: 0.193, data_time: 0.007, memory: 19921, decode.loss_ce: 0.2158, decode.acc_seg: 91.2167, loss: 0.2158 +2023-03-04 01:19:20,068 - mmseg - INFO - Iter [1150/160000] lr: 1.500e-04, eta: 8:59:13, time: 0.194, data_time: 0.007, memory: 19921, decode.loss_ce: 0.2159, decode.acc_seg: 91.3240, loss: 0.2159 +2023-03-04 01:19:29,708 - mmseg - INFO - Iter [1200/160000] lr: 1.500e-04, eta: 8:57:51, time: 0.193, data_time: 0.007, memory: 19921, decode.loss_ce: 0.2219, decode.acc_seg: 90.8923, loss: 0.2219 +2023-03-04 01:19:39,220 - mmseg - INFO - Iter [1250/160000] lr: 1.500e-04, eta: 8:56:19, time: 0.190, data_time: 0.006, memory: 19921, decode.loss_ce: 0.2220, decode.acc_seg: 91.0605, loss: 0.2220 +2023-03-04 01:19:51,430 - mmseg - INFO - Iter [1300/160000] lr: 1.500e-04, eta: 9:00:22, time: 0.244, data_time: 0.056, memory: 19921, decode.loss_ce: 0.2183, decode.acc_seg: 91.1180, loss: 0.2183 +2023-03-04 01:20:00,905 - mmseg - INFO - Iter [1350/160000] lr: 1.500e-04, eta: 8:58:45, time: 0.190, data_time: 0.006, memory: 19921, decode.loss_ce: 0.2186, decode.acc_seg: 91.0181, loss: 0.2186 +2023-03-04 01:20:10,930 - mmseg - INFO - Iter [1400/160000] lr: 1.500e-04, eta: 8:58:16, time: 0.200, data_time: 0.006, memory: 19921, decode.loss_ce: 0.2195, decode.acc_seg: 91.1774, loss: 0.2195 +2023-03-04 01:20:20,510 - mmseg - INFO - Iter [1450/160000] lr: 1.500e-04, eta: 8:56:58, time: 0.191, data_time: 0.006, memory: 19921, decode.loss_ce: 0.2113, decode.acc_seg: 91.2376, loss: 0.2113 +2023-03-04 01:20:30,046 - mmseg - INFO - Iter [1500/160000] lr: 1.500e-04, eta: 8:55:44, time: 0.191, data_time: 0.007, memory: 19921, decode.loss_ce: 0.2143, decode.acc_seg: 91.2624, loss: 0.2143 +2023-03-04 01:20:39,681 - mmseg - INFO - Iter [1550/160000] lr: 1.500e-04, eta: 8:54:42, time: 0.193, data_time: 0.006, memory: 19921, decode.loss_ce: 0.2205, decode.acc_seg: 91.1010, loss: 0.2205 +2023-03-04 01:20:49,517 - mmseg - INFO - Iter [1600/160000] lr: 1.500e-04, eta: 8:54:03, time: 0.197, data_time: 0.007, memory: 19921, decode.loss_ce: 0.2153, decode.acc_seg: 91.2476, loss: 0.2153 +2023-03-04 01:20:59,593 - mmseg - INFO - Iter [1650/160000] lr: 1.500e-04, eta: 8:53:48, time: 0.201, data_time: 0.007, memory: 19921, decode.loss_ce: 0.2216, decode.acc_seg: 91.0432, loss: 0.2216 +2023-03-04 01:21:09,475 - mmseg - INFO - Iter [1700/160000] lr: 1.500e-04, eta: 8:53:17, time: 0.198, data_time: 0.007, memory: 19921, decode.loss_ce: 0.2172, decode.acc_seg: 91.0561, loss: 0.2172 +2023-03-04 01:21:19,304 - mmseg - INFO - Iter [1750/160000] lr: 1.500e-04, eta: 8:52:42, time: 0.197, data_time: 0.007, memory: 19921, decode.loss_ce: 0.2227, decode.acc_seg: 91.1247, loss: 0.2227 +2023-03-04 01:21:29,009 - mmseg - INFO - Iter [1800/160000] lr: 1.500e-04, eta: 8:51:57, time: 0.194, data_time: 0.007, memory: 19921, decode.loss_ce: 0.2040, decode.acc_seg: 91.8381, loss: 0.2040 +2023-03-04 01:21:38,515 - mmseg - INFO - Iter [1850/160000] lr: 1.500e-04, eta: 8:50:58, time: 0.190, data_time: 0.007, memory: 19921, decode.loss_ce: 0.2181, decode.acc_seg: 91.2190, loss: 0.2181 +2023-03-04 01:21:50,704 - mmseg - INFO - Iter [1900/160000] lr: 1.500e-04, eta: 8:53:44, time: 0.244, data_time: 0.055, memory: 19921, decode.loss_ce: 0.2169, decode.acc_seg: 91.2374, loss: 0.2169 +2023-03-04 01:22:00,485 - mmseg - INFO - Iter [1950/160000] lr: 1.500e-04, eta: 8:53:06, time: 0.196, data_time: 0.006, memory: 19921, decode.loss_ce: 0.2123, decode.acc_seg: 91.2308, loss: 0.2123 +2023-03-04 01:22:10,010 - mmseg - INFO - Exp name: ablation_segformer_mit_b2_segformer_head_unet_fc_small_multi_step_ade_single_stage.py +2023-03-04 01:22:10,010 - mmseg - INFO - Iter [2000/160000] lr: 1.500e-04, eta: 8:52:08, time: 0.191, data_time: 0.007, memory: 19921, decode.loss_ce: 0.2284, decode.acc_seg: 90.6876, loss: 0.2284 +2023-03-04 01:22:19,644 - mmseg - INFO - Iter [2050/160000] lr: 1.500e-04, eta: 8:51:22, time: 0.193, data_time: 0.007, memory: 19921, decode.loss_ce: 0.2103, decode.acc_seg: 91.3644, loss: 0.2103 +2023-03-04 01:22:29,095 - mmseg - INFO - Iter [2100/160000] lr: 1.500e-04, eta: 8:50:24, time: 0.189, data_time: 0.007, memory: 19921, decode.loss_ce: 0.2203, decode.acc_seg: 91.1097, loss: 0.2203 +2023-03-04 01:22:38,853 - mmseg - INFO - Iter [2150/160000] lr: 1.500e-04, eta: 8:49:49, time: 0.195, data_time: 0.006, memory: 19921, decode.loss_ce: 0.2151, decode.acc_seg: 91.3218, loss: 0.2151 +2023-03-04 01:22:48,389 - mmseg - INFO - Iter [2200/160000] lr: 1.500e-04, eta: 8:49:01, time: 0.191, data_time: 0.007, memory: 19921, decode.loss_ce: 0.2194, decode.acc_seg: 91.1185, loss: 0.2194 +2023-03-04 01:22:58,132 - mmseg - INFO - Iter [2250/160000] lr: 1.500e-04, eta: 8:48:30, time: 0.195, data_time: 0.007, memory: 19921, decode.loss_ce: 0.2212, decode.acc_seg: 90.9432, loss: 0.2212 +2023-03-04 01:23:07,640 - mmseg - INFO - Iter [2300/160000] lr: 1.500e-04, eta: 8:47:42, time: 0.190, data_time: 0.007, memory: 19921, decode.loss_ce: 0.2249, decode.acc_seg: 90.9528, loss: 0.2249 +2023-03-04 01:23:17,240 - mmseg - INFO - Iter [2350/160000] lr: 1.500e-04, eta: 8:47:03, time: 0.192, data_time: 0.007, memory: 19921, decode.loss_ce: 0.2185, decode.acc_seg: 91.1020, loss: 0.2185 +2023-03-04 01:23:26,921 - mmseg - INFO - Iter [2400/160000] lr: 1.500e-04, eta: 8:46:30, time: 0.194, data_time: 0.007, memory: 19921, decode.loss_ce: 0.2229, decode.acc_seg: 90.9013, loss: 0.2229 +2023-03-04 01:23:36,444 - mmseg - INFO - Iter [2450/160000] lr: 1.500e-04, eta: 8:45:48, time: 0.190, data_time: 0.007, memory: 19921, decode.loss_ce: 0.2226, decode.acc_seg: 91.0380, loss: 0.2226 +2023-03-04 01:23:46,253 - mmseg - INFO - Iter [2500/160000] lr: 1.500e-04, eta: 8:45:25, time: 0.196, data_time: 0.006, memory: 19921, decode.loss_ce: 0.2174, decode.acc_seg: 91.1672, loss: 0.2174 +2023-03-04 01:23:58,226 - mmseg - INFO - Iter [2550/160000] lr: 1.500e-04, eta: 8:47:16, time: 0.239, data_time: 0.056, memory: 19921, decode.loss_ce: 0.2178, decode.acc_seg: 91.1411, loss: 0.2178 +2023-03-04 01:24:07,928 - mmseg - INFO - Iter [2600/160000] lr: 1.500e-04, eta: 8:46:45, time: 0.194, data_time: 0.007, memory: 19921, decode.loss_ce: 0.2117, decode.acc_seg: 91.2770, loss: 0.2117 +2023-03-04 01:24:17,835 - mmseg - INFO - Iter [2650/160000] lr: 1.500e-04, eta: 8:46:27, time: 0.198, data_time: 0.006, memory: 19921, decode.loss_ce: 0.2225, decode.acc_seg: 91.0014, loss: 0.2225 +2023-03-04 01:24:27,349 - mmseg - INFO - Iter [2700/160000] lr: 1.500e-04, eta: 8:45:47, time: 0.190, data_time: 0.007, memory: 19921, decode.loss_ce: 0.2179, decode.acc_seg: 91.0885, loss: 0.2179 +2023-03-04 01:24:36,828 - mmseg - INFO - Iter [2750/160000] lr: 1.500e-04, eta: 8:45:05, time: 0.190, data_time: 0.007, memory: 19921, decode.loss_ce: 0.2196, decode.acc_seg: 91.0437, loss: 0.2196 +2023-03-04 01:24:46,322 - mmseg - INFO - Iter [2800/160000] lr: 1.500e-04, eta: 8:44:26, time: 0.190, data_time: 0.007, memory: 19921, decode.loss_ce: 0.2165, decode.acc_seg: 91.0754, loss: 0.2165 +2023-03-04 01:24:55,911 - mmseg - INFO - Iter [2850/160000] lr: 1.500e-04, eta: 8:43:52, time: 0.192, data_time: 0.007, memory: 19921, decode.loss_ce: 0.2200, decode.acc_seg: 90.8811, loss: 0.2200 +2023-03-04 01:25:05,549 - mmseg - INFO - Iter [2900/160000] lr: 1.500e-04, eta: 8:43:23, time: 0.193, data_time: 0.007, memory: 19921, decode.loss_ce: 0.2072, decode.acc_seg: 91.5279, loss: 0.2072 +2023-03-04 01:25:15,131 - mmseg - INFO - Iter [2950/160000] lr: 1.500e-04, eta: 8:42:51, time: 0.192, data_time: 0.007, memory: 19921, decode.loss_ce: 0.2098, decode.acc_seg: 91.3365, loss: 0.2098 +2023-03-04 01:25:25,176 - mmseg - INFO - Exp name: ablation_segformer_mit_b2_segformer_head_unet_fc_small_multi_step_ade_single_stage.py +2023-03-04 01:25:25,176 - mmseg - INFO - Iter [3000/160000] lr: 1.500e-04, eta: 8:42:44, time: 0.201, data_time: 0.007, memory: 19921, decode.loss_ce: 0.2151, decode.acc_seg: 91.3611, loss: 0.2151 +2023-03-04 01:25:34,874 - mmseg - INFO - Iter [3050/160000] lr: 1.500e-04, eta: 8:42:19, time: 0.194, data_time: 0.007, memory: 19921, decode.loss_ce: 0.2222, decode.acc_seg: 90.8816, loss: 0.2222 +2023-03-04 01:25:44,590 - mmseg - INFO - Iter [3100/160000] lr: 1.500e-04, eta: 8:41:56, time: 0.194, data_time: 0.007, memory: 19921, decode.loss_ce: 0.2165, decode.acc_seg: 91.1300, loss: 0.2165 +2023-03-04 01:25:54,067 - mmseg - INFO - Iter [3150/160000] lr: 1.500e-04, eta: 8:41:21, time: 0.190, data_time: 0.007, memory: 19921, decode.loss_ce: 0.2115, decode.acc_seg: 91.1517, loss: 0.2115 +2023-03-04 01:26:05,997 - mmseg - INFO - Iter [3200/160000] lr: 1.500e-04, eta: 8:42:47, time: 0.239, data_time: 0.054, memory: 19921, decode.loss_ce: 0.2237, decode.acc_seg: 90.9816, loss: 0.2237 +2023-03-04 01:26:15,554 - mmseg - INFO - Iter [3250/160000] lr: 1.500e-04, eta: 8:42:14, time: 0.191, data_time: 0.007, memory: 19921, decode.loss_ce: 0.2161, decode.acc_seg: 91.1665, loss: 0.2161 +2023-03-04 01:26:25,164 - mmseg - INFO - Iter [3300/160000] lr: 1.500e-04, eta: 8:41:47, time: 0.192, data_time: 0.007, memory: 19921, decode.loss_ce: 0.2149, decode.acc_seg: 91.2088, loss: 0.2149 +2023-03-04 01:26:35,049 - mmseg - INFO - Iter [3350/160000] lr: 1.500e-04, eta: 8:41:32, time: 0.198, data_time: 0.006, memory: 19921, decode.loss_ce: 0.2109, decode.acc_seg: 91.2808, loss: 0.2109 +2023-03-04 01:26:44,714 - mmseg - INFO - Iter [3400/160000] lr: 1.500e-04, eta: 8:41:07, time: 0.193, data_time: 0.007, memory: 19921, decode.loss_ce: 0.2093, decode.acc_seg: 91.3356, loss: 0.2093 +2023-03-04 01:26:54,295 - mmseg - INFO - Iter [3450/160000] lr: 1.500e-04, eta: 8:40:39, time: 0.192, data_time: 0.007, memory: 19921, decode.loss_ce: 0.2187, decode.acc_seg: 91.1106, loss: 0.2187 +2023-03-04 01:27:03,843 - mmseg - INFO - Iter [3500/160000] lr: 1.500e-04, eta: 8:40:10, time: 0.191, data_time: 0.007, memory: 19921, decode.loss_ce: 0.2156, decode.acc_seg: 91.1840, loss: 0.2156 +2023-03-04 01:27:13,302 - mmseg - INFO - Iter [3550/160000] lr: 1.500e-04, eta: 8:39:37, time: 0.189, data_time: 0.007, memory: 19921, decode.loss_ce: 0.2169, decode.acc_seg: 90.9974, loss: 0.2169 +2023-03-04 01:27:22,765 - mmseg - INFO - Iter [3600/160000] lr: 1.500e-04, eta: 8:39:05, time: 0.189, data_time: 0.007, memory: 19921, decode.loss_ce: 0.2162, decode.acc_seg: 91.1031, loss: 0.2162 +2023-03-04 01:27:32,589 - mmseg - INFO - Iter [3650/160000] lr: 1.500e-04, eta: 8:38:49, time: 0.196, data_time: 0.007, memory: 19921, decode.loss_ce: 0.1993, decode.acc_seg: 91.8473, loss: 0.1993 +2023-03-04 01:27:42,096 - mmseg - INFO - Iter [3700/160000] lr: 1.500e-04, eta: 8:38:21, time: 0.190, data_time: 0.007, memory: 19921, decode.loss_ce: 0.2194, decode.acc_seg: 91.1768, loss: 0.2194 +2023-03-04 01:27:51,636 - mmseg - INFO - Iter [3750/160000] lr: 1.500e-04, eta: 8:37:54, time: 0.191, data_time: 0.007, memory: 19921, decode.loss_ce: 0.2211, decode.acc_seg: 91.0725, loss: 0.2211 +2023-03-04 01:28:03,717 - mmseg - INFO - Iter [3800/160000] lr: 1.500e-04, eta: 8:39:12, time: 0.242, data_time: 0.057, memory: 19921, decode.loss_ce: 0.2145, decode.acc_seg: 91.1034, loss: 0.2145 +2023-03-04 01:28:13,331 - mmseg - INFO - Iter [3850/160000] lr: 1.500e-04, eta: 8:38:46, time: 0.192, data_time: 0.007, memory: 19921, decode.loss_ce: 0.2175, decode.acc_seg: 91.0937, loss: 0.2175 +2023-03-04 01:28:22,923 - mmseg - INFO - Iter [3900/160000] lr: 1.500e-04, eta: 8:38:22, time: 0.192, data_time: 0.007, memory: 19921, decode.loss_ce: 0.2104, decode.acc_seg: 91.4292, loss: 0.2104 +2023-03-04 01:28:32,580 - mmseg - INFO - Iter [3950/160000] lr: 1.500e-04, eta: 8:38:00, time: 0.193, data_time: 0.007, memory: 19921, decode.loss_ce: 0.2187, decode.acc_seg: 91.0469, loss: 0.2187 +2023-03-04 01:28:42,208 - mmseg - INFO - Exp name: ablation_segformer_mit_b2_segformer_head_unet_fc_small_multi_step_ade_single_stage.py +2023-03-04 01:28:42,209 - mmseg - INFO - Iter [4000/160000] lr: 1.500e-04, eta: 8:37:37, time: 0.193, data_time: 0.007, memory: 19921, decode.loss_ce: 0.2214, decode.acc_seg: 90.9106, loss: 0.2214 +2023-03-04 01:28:51,917 - mmseg - INFO - Iter [4050/160000] lr: 1.500e-04, eta: 8:37:18, time: 0.194, data_time: 0.006, memory: 19921, decode.loss_ce: 0.2190, decode.acc_seg: 91.0281, loss: 0.2190 +2023-03-04 01:29:01,698 - mmseg - INFO - Iter [4100/160000] lr: 1.500e-04, eta: 8:37:01, time: 0.196, data_time: 0.007, memory: 19921, decode.loss_ce: 0.2117, decode.acc_seg: 91.3681, loss: 0.2117 +2023-03-04 01:29:11,229 - mmseg - INFO - Iter [4150/160000] lr: 1.500e-04, eta: 8:36:36, time: 0.191, data_time: 0.006, memory: 19921, decode.loss_ce: 0.2079, decode.acc_seg: 91.5043, loss: 0.2079 +2023-03-04 01:29:20,754 - mmseg - INFO - Iter [4200/160000] lr: 1.500e-04, eta: 8:36:10, time: 0.191, data_time: 0.007, memory: 19921, decode.loss_ce: 0.2245, decode.acc_seg: 91.0506, loss: 0.2245 +2023-03-04 01:29:30,425 - mmseg - INFO - Iter [4250/160000] lr: 1.500e-04, eta: 8:35:50, time: 0.193, data_time: 0.007, memory: 19921, decode.loss_ce: 0.2136, decode.acc_seg: 91.3248, loss: 0.2136 +2023-03-04 01:29:40,165 - mmseg - INFO - Iter [4300/160000] lr: 1.500e-04, eta: 8:35:33, time: 0.195, data_time: 0.007, memory: 19921, decode.loss_ce: 0.2214, decode.acc_seg: 91.0379, loss: 0.2214 +2023-03-04 01:29:49,770 - mmseg - INFO - Iter [4350/160000] lr: 1.500e-04, eta: 8:35:12, time: 0.192, data_time: 0.007, memory: 19921, decode.loss_ce: 0.2135, decode.acc_seg: 91.4296, loss: 0.2135 +2023-03-04 01:29:59,390 - mmseg - INFO - Iter [4400/160000] lr: 1.500e-04, eta: 8:34:51, time: 0.192, data_time: 0.007, memory: 19921, decode.loss_ce: 0.2181, decode.acc_seg: 90.9888, loss: 0.2181 +2023-03-04 01:30:11,616 - mmseg - INFO - Iter [4450/160000] lr: 1.500e-04, eta: 8:36:01, time: 0.244, data_time: 0.053, memory: 19921, decode.loss_ce: 0.2081, decode.acc_seg: 91.4279, loss: 0.2081 +2023-03-04 01:30:21,420 - mmseg - INFO - Iter [4500/160000] lr: 1.500e-04, eta: 8:35:46, time: 0.196, data_time: 0.007, memory: 19921, decode.loss_ce: 0.2103, decode.acc_seg: 91.5183, loss: 0.2103 +2023-03-04 01:30:31,005 - mmseg - INFO - Iter [4550/160000] lr: 1.500e-04, eta: 8:35:24, time: 0.192, data_time: 0.007, memory: 19921, decode.loss_ce: 0.2180, decode.acc_seg: 91.1855, loss: 0.2180 +2023-03-04 01:30:40,626 - mmseg - INFO - Iter [4600/160000] lr: 1.500e-04, eta: 8:35:03, time: 0.192, data_time: 0.007, memory: 19921, decode.loss_ce: 0.2096, decode.acc_seg: 91.3516, loss: 0.2096 +2023-03-04 01:30:50,384 - mmseg - INFO - Iter [4650/160000] lr: 1.500e-04, eta: 8:34:47, time: 0.195, data_time: 0.006, memory: 19921, decode.loss_ce: 0.2203, decode.acc_seg: 91.0968, loss: 0.2203 +2023-03-04 01:31:00,004 - mmseg - INFO - Iter [4700/160000] lr: 1.500e-04, eta: 8:34:26, time: 0.192, data_time: 0.007, memory: 19921, decode.loss_ce: 0.2107, decode.acc_seg: 91.1420, loss: 0.2107 +2023-03-04 01:31:09,815 - mmseg - INFO - Iter [4750/160000] lr: 1.500e-04, eta: 8:34:12, time: 0.196, data_time: 0.007, memory: 19921, decode.loss_ce: 0.2061, decode.acc_seg: 91.5202, loss: 0.2061 +2023-03-04 01:31:19,676 - mmseg - INFO - Iter [4800/160000] lr: 1.500e-04, eta: 8:33:59, time: 0.197, data_time: 0.006, memory: 19921, decode.loss_ce: 0.2208, decode.acc_seg: 91.0084, loss: 0.2208 +2023-03-04 01:31:29,208 - mmseg - INFO - Iter [4850/160000] lr: 1.500e-04, eta: 8:33:37, time: 0.191, data_time: 0.007, memory: 19921, decode.loss_ce: 0.2156, decode.acc_seg: 91.3230, loss: 0.2156 +2023-03-04 01:31:38,841 - mmseg - INFO - Iter [4900/160000] lr: 1.500e-04, eta: 8:33:17, time: 0.193, data_time: 0.006, memory: 19921, decode.loss_ce: 0.2255, decode.acc_seg: 90.9355, loss: 0.2255 +2023-03-04 01:31:48,522 - mmseg - INFO - Iter [4950/160000] lr: 1.500e-04, eta: 8:33:00, time: 0.194, data_time: 0.006, memory: 19921, decode.loss_ce: 0.2182, decode.acc_seg: 91.1504, loss: 0.2182 +2023-03-04 01:31:58,123 - mmseg - INFO - Exp name: ablation_segformer_mit_b2_segformer_head_unet_fc_small_multi_step_ade_single_stage.py +2023-03-04 01:31:58,123 - mmseg - INFO - Iter [5000/160000] lr: 1.500e-04, eta: 8:32:40, time: 0.192, data_time: 0.007, memory: 19921, decode.loss_ce: 0.2213, decode.acc_seg: 91.0796, loss: 0.2213 +2023-03-04 01:32:10,397 - mmseg - INFO - Iter [5050/160000] lr: 1.500e-04, eta: 8:33:42, time: 0.245, data_time: 0.053, memory: 19921, decode.loss_ce: 0.2153, decode.acc_seg: 91.2547, loss: 0.2153 +2023-03-04 01:32:19,990 - mmseg - INFO - Iter [5100/160000] lr: 1.500e-04, eta: 8:33:21, time: 0.192, data_time: 0.006, memory: 19921, decode.loss_ce: 0.2129, decode.acc_seg: 91.3208, loss: 0.2129 +2023-03-04 01:32:29,780 - mmseg - INFO - Iter [5150/160000] lr: 1.500e-04, eta: 8:33:07, time: 0.196, data_time: 0.007, memory: 19921, decode.loss_ce: 0.2289, decode.acc_seg: 90.6179, loss: 0.2289 +2023-03-04 01:32:39,751 - mmseg - INFO - Iter [5200/160000] lr: 1.500e-04, eta: 8:32:58, time: 0.199, data_time: 0.006, memory: 19921, decode.loss_ce: 0.2169, decode.acc_seg: 91.2370, loss: 0.2169 +2023-03-04 01:32:49,395 - mmseg - INFO - Iter [5250/160000] lr: 1.500e-04, eta: 8:32:39, time: 0.193, data_time: 0.007, memory: 19921, decode.loss_ce: 0.2169, decode.acc_seg: 91.1715, loss: 0.2169 +2023-03-04 01:32:58,966 - mmseg - INFO - Iter [5300/160000] lr: 1.500e-04, eta: 8:32:18, time: 0.191, data_time: 0.007, memory: 19921, decode.loss_ce: 0.2260, decode.acc_seg: 90.8552, loss: 0.2260 +2023-03-04 01:33:08,522 - mmseg - INFO - Iter [5350/160000] lr: 1.500e-04, eta: 8:31:57, time: 0.191, data_time: 0.006, memory: 19921, decode.loss_ce: 0.2162, decode.acc_seg: 91.1168, loss: 0.2162 +2023-03-04 01:33:17,968 - mmseg - INFO - Iter [5400/160000] lr: 1.500e-04, eta: 8:31:33, time: 0.189, data_time: 0.007, memory: 19921, decode.loss_ce: 0.2190, decode.acc_seg: 90.9898, loss: 0.2190 +2023-03-04 01:33:27,624 - mmseg - INFO - Iter [5450/160000] lr: 1.500e-04, eta: 8:31:16, time: 0.193, data_time: 0.007, memory: 19921, decode.loss_ce: 0.2087, decode.acc_seg: 91.4837, loss: 0.2087 +2023-03-04 01:33:37,186 - mmseg - INFO - Iter [5500/160000] lr: 1.500e-04, eta: 8:30:56, time: 0.191, data_time: 0.007, memory: 19921, decode.loss_ce: 0.2182, decode.acc_seg: 91.1870, loss: 0.2182 +2023-03-04 01:33:46,856 - mmseg - INFO - Iter [5550/160000] lr: 1.500e-04, eta: 8:30:39, time: 0.193, data_time: 0.007, memory: 19921, decode.loss_ce: 0.2133, decode.acc_seg: 91.3685, loss: 0.2133 +2023-03-04 01:33:56,448 - mmseg - INFO - Iter [5600/160000] lr: 1.500e-04, eta: 8:30:20, time: 0.192, data_time: 0.007, memory: 19921, decode.loss_ce: 0.2137, decode.acc_seg: 91.2605, loss: 0.2137 +2023-03-04 01:34:06,249 - mmseg - INFO - Iter [5650/160000] lr: 1.500e-04, eta: 8:30:07, time: 0.196, data_time: 0.007, memory: 19921, decode.loss_ce: 0.2148, decode.acc_seg: 91.2077, loss: 0.2148 +2023-03-04 01:34:18,245 - mmseg - INFO - Iter [5700/160000] lr: 1.500e-04, eta: 8:30:53, time: 0.240, data_time: 0.055, memory: 19921, decode.loss_ce: 0.2133, decode.acc_seg: 91.3197, loss: 0.2133 +2023-03-04 01:34:28,137 - mmseg - INFO - Iter [5750/160000] lr: 1.500e-04, eta: 8:30:42, time: 0.198, data_time: 0.006, memory: 19921, decode.loss_ce: 0.2118, decode.acc_seg: 91.4454, loss: 0.2118 +2023-03-04 01:34:37,754 - mmseg - INFO - Iter [5800/160000] lr: 1.500e-04, eta: 8:30:23, time: 0.192, data_time: 0.007, memory: 19921, decode.loss_ce: 0.2175, decode.acc_seg: 91.1192, loss: 0.2175 +2023-03-04 01:34:47,321 - mmseg - INFO - Iter [5850/160000] lr: 1.500e-04, eta: 8:30:04, time: 0.192, data_time: 0.007, memory: 19921, decode.loss_ce: 0.2166, decode.acc_seg: 91.1472, loss: 0.2166 +2023-03-04 01:34:56,843 - mmseg - INFO - Iter [5900/160000] lr: 1.500e-04, eta: 8:29:44, time: 0.190, data_time: 0.007, memory: 19921, decode.loss_ce: 0.2117, decode.acc_seg: 91.4018, loss: 0.2117 +2023-03-04 01:35:06,718 - mmseg - INFO - Iter [5950/160000] lr: 1.500e-04, eta: 8:29:32, time: 0.197, data_time: 0.007, memory: 19921, decode.loss_ce: 0.2191, decode.acc_seg: 91.2354, loss: 0.2191 +2023-03-04 01:35:16,284 - mmseg - INFO - Exp name: ablation_segformer_mit_b2_segformer_head_unet_fc_small_multi_step_ade_single_stage.py +2023-03-04 01:35:16,284 - mmseg - INFO - Iter [6000/160000] lr: 1.500e-04, eta: 8:29:13, time: 0.192, data_time: 0.007, memory: 19921, decode.loss_ce: 0.2064, decode.acc_seg: 91.5454, loss: 0.2064 +2023-03-04 01:35:25,731 - mmseg - INFO - Iter [6050/160000] lr: 1.500e-04, eta: 8:28:52, time: 0.189, data_time: 0.007, memory: 19921, decode.loss_ce: 0.2205, decode.acc_seg: 90.9855, loss: 0.2205 +2023-03-04 01:35:35,212 - mmseg - INFO - Iter [6100/160000] lr: 1.500e-04, eta: 8:28:31, time: 0.190, data_time: 0.007, memory: 19921, decode.loss_ce: 0.2176, decode.acc_seg: 90.9937, loss: 0.2176 +2023-03-04 01:35:44,930 - mmseg - INFO - Iter [6150/160000] lr: 1.500e-04, eta: 8:28:16, time: 0.194, data_time: 0.007, memory: 19921, decode.loss_ce: 0.2099, decode.acc_seg: 91.3999, loss: 0.2099 +2023-03-04 01:35:54,438 - mmseg - INFO - Iter [6200/160000] lr: 1.500e-04, eta: 8:27:56, time: 0.190, data_time: 0.007, memory: 19921, decode.loss_ce: 0.2120, decode.acc_seg: 91.3644, loss: 0.2120 +2023-03-04 01:36:04,049 - mmseg - INFO - Iter [6250/160000] lr: 1.500e-04, eta: 8:27:39, time: 0.192, data_time: 0.007, memory: 19921, decode.loss_ce: 0.2203, decode.acc_seg: 91.0141, loss: 0.2203 +2023-03-04 01:36:13,603 - mmseg - INFO - Iter [6300/160000] lr: 1.500e-04, eta: 8:27:20, time: 0.191, data_time: 0.007, memory: 19921, decode.loss_ce: 0.2179, decode.acc_seg: 91.0582, loss: 0.2179 +2023-03-04 01:36:25,676 - mmseg - INFO - Iter [6350/160000] lr: 1.500e-04, eta: 8:28:03, time: 0.241, data_time: 0.054, memory: 19921, decode.loss_ce: 0.2191, decode.acc_seg: 90.9601, loss: 0.2191 +2023-03-04 01:36:35,184 - mmseg - INFO - Iter [6400/160000] lr: 1.500e-04, eta: 8:27:43, time: 0.190, data_time: 0.006, memory: 19921, decode.loss_ce: 0.2188, decode.acc_seg: 91.1648, loss: 0.2188 +2023-03-04 01:36:44,850 - mmseg - INFO - Iter [6450/160000] lr: 1.500e-04, eta: 8:27:27, time: 0.193, data_time: 0.007, memory: 19921, decode.loss_ce: 0.2142, decode.acc_seg: 91.1982, loss: 0.2142 +2023-03-04 01:36:54,658 - mmseg - INFO - Iter [6500/160000] lr: 1.500e-04, eta: 8:27:15, time: 0.196, data_time: 0.006, memory: 19921, decode.loss_ce: 0.2156, decode.acc_seg: 91.1998, loss: 0.2156 +2023-03-04 01:37:04,149 - mmseg - INFO - Iter [6550/160000] lr: 1.500e-04, eta: 8:26:55, time: 0.190, data_time: 0.007, memory: 19921, decode.loss_ce: 0.2155, decode.acc_seg: 91.1396, loss: 0.2155 +2023-03-04 01:37:13,779 - mmseg - INFO - Iter [6600/160000] lr: 1.500e-04, eta: 8:26:38, time: 0.193, data_time: 0.006, memory: 19921, decode.loss_ce: 0.2174, decode.acc_seg: 91.1177, loss: 0.2174 +2023-03-04 01:37:23,634 - mmseg - INFO - Iter [6650/160000] lr: 1.500e-04, eta: 8:26:27, time: 0.197, data_time: 0.007, memory: 19921, decode.loss_ce: 0.2135, decode.acc_seg: 91.1790, loss: 0.2135 +2023-03-04 01:37:33,183 - mmseg - INFO - Iter [6700/160000] lr: 1.500e-04, eta: 8:26:09, time: 0.191, data_time: 0.007, memory: 19921, decode.loss_ce: 0.2108, decode.acc_seg: 91.2624, loss: 0.2108 +2023-03-04 01:37:43,087 - mmseg - INFO - Iter [6750/160000] lr: 1.500e-04, eta: 8:25:59, time: 0.198, data_time: 0.007, memory: 19921, decode.loss_ce: 0.2172, decode.acc_seg: 91.2198, loss: 0.2172 +2023-03-04 01:37:52,694 - mmseg - INFO - Iter [6800/160000] lr: 1.500e-04, eta: 8:25:43, time: 0.192, data_time: 0.007, memory: 19921, decode.loss_ce: 0.2094, decode.acc_seg: 91.4932, loss: 0.2094 +2023-03-04 01:38:02,363 - mmseg - INFO - Iter [6850/160000] lr: 1.500e-04, eta: 8:25:27, time: 0.193, data_time: 0.007, memory: 19921, decode.loss_ce: 0.2154, decode.acc_seg: 91.2237, loss: 0.2154 +2023-03-04 01:38:11,903 - mmseg - INFO - Iter [6900/160000] lr: 1.500e-04, eta: 8:25:09, time: 0.191, data_time: 0.007, memory: 19921, decode.loss_ce: 0.2109, decode.acc_seg: 91.4909, loss: 0.2109 +2023-03-04 01:38:24,304 - mmseg - INFO - Iter [6950/160000] lr: 1.500e-04, eta: 8:25:55, time: 0.248, data_time: 0.052, memory: 19921, decode.loss_ce: 0.2213, decode.acc_seg: 91.1761, loss: 0.2213 +2023-03-04 01:38:34,144 - mmseg - INFO - Exp name: ablation_segformer_mit_b2_segformer_head_unet_fc_small_multi_step_ade_single_stage.py +2023-03-04 01:38:34,144 - mmseg - INFO - Iter [7000/160000] lr: 1.500e-04, eta: 8:25:43, time: 0.197, data_time: 0.007, memory: 19921, decode.loss_ce: 0.2129, decode.acc_seg: 91.2477, loss: 0.2129 +2023-03-04 01:38:43,847 - mmseg - INFO - Iter [7050/160000] lr: 1.500e-04, eta: 8:25:28, time: 0.194, data_time: 0.007, memory: 19921, decode.loss_ce: 0.2194, decode.acc_seg: 91.0678, loss: 0.2194 +2023-03-04 01:38:53,809 - mmseg - INFO - Iter [7100/160000] lr: 1.500e-04, eta: 8:25:20, time: 0.199, data_time: 0.007, memory: 19921, decode.loss_ce: 0.2215, decode.acc_seg: 91.0528, loss: 0.2215 +2023-03-04 01:39:03,282 - mmseg - INFO - Iter [7150/160000] lr: 1.500e-04, eta: 8:25:00, time: 0.189, data_time: 0.006, memory: 19921, decode.loss_ce: 0.2136, decode.acc_seg: 91.2780, loss: 0.2136 +2023-03-04 01:39:12,830 - mmseg - INFO - Iter [7200/160000] lr: 1.500e-04, eta: 8:24:43, time: 0.191, data_time: 0.007, memory: 19921, decode.loss_ce: 0.2197, decode.acc_seg: 91.0148, loss: 0.2197 +2023-03-04 01:39:22,282 - mmseg - INFO - Iter [7250/160000] lr: 1.500e-04, eta: 8:24:23, time: 0.189, data_time: 0.007, memory: 19921, decode.loss_ce: 0.2215, decode.acc_seg: 91.1291, loss: 0.2215 +2023-03-04 01:39:31,780 - mmseg - INFO - Iter [7300/160000] lr: 1.500e-04, eta: 8:24:05, time: 0.190, data_time: 0.007, memory: 19921, decode.loss_ce: 0.2170, decode.acc_seg: 91.3468, loss: 0.2170 +2023-03-04 01:39:41,769 - mmseg - INFO - Iter [7350/160000] lr: 1.500e-04, eta: 8:23:57, time: 0.200, data_time: 0.007, memory: 19921, decode.loss_ce: 0.2230, decode.acc_seg: 90.9707, loss: 0.2230 +2023-03-04 01:39:51,323 - mmseg - INFO - Iter [7400/160000] lr: 1.500e-04, eta: 8:23:39, time: 0.191, data_time: 0.006, memory: 19921, decode.loss_ce: 0.2127, decode.acc_seg: 91.2415, loss: 0.2127 +2023-03-04 01:40:00,781 - mmseg - INFO - Iter [7450/160000] lr: 1.500e-04, eta: 8:23:20, time: 0.189, data_time: 0.007, memory: 19921, decode.loss_ce: 0.2054, decode.acc_seg: 91.6406, loss: 0.2054 +2023-03-04 01:40:10,393 - mmseg - INFO - Iter [7500/160000] lr: 1.500e-04, eta: 8:23:05, time: 0.192, data_time: 0.007, memory: 19921, decode.loss_ce: 0.2165, decode.acc_seg: 91.0888, loss: 0.2165 +2023-03-04 01:40:20,210 - mmseg - INFO - Iter [7550/160000] lr: 1.500e-04, eta: 8:22:53, time: 0.196, data_time: 0.007, memory: 19921, decode.loss_ce: 0.2171, decode.acc_seg: 91.0502, loss: 0.2171 +2023-03-04 01:40:32,175 - mmseg - INFO - Iter [7600/160000] lr: 1.500e-04, eta: 8:23:25, time: 0.239, data_time: 0.057, memory: 19921, decode.loss_ce: 0.2113, decode.acc_seg: 91.2055, loss: 0.2113 +2023-03-04 01:40:42,031 - mmseg - INFO - Iter [7650/160000] lr: 1.500e-04, eta: 8:23:14, time: 0.197, data_time: 0.007, memory: 19921, decode.loss_ce: 0.2130, decode.acc_seg: 91.1923, loss: 0.2130 +2023-03-04 01:40:51,664 - mmseg - INFO - Iter [7700/160000] lr: 1.500e-04, eta: 8:22:58, time: 0.193, data_time: 0.007, memory: 19921, decode.loss_ce: 0.2164, decode.acc_seg: 91.2048, loss: 0.2164 +2023-03-04 01:41:01,275 - mmseg - INFO - Iter [7750/160000] lr: 1.500e-04, eta: 8:22:43, time: 0.192, data_time: 0.007, memory: 19921, decode.loss_ce: 0.2194, decode.acc_seg: 91.2077, loss: 0.2194 +2023-03-04 01:41:10,974 - mmseg - INFO - Iter [7800/160000] lr: 1.500e-04, eta: 8:22:29, time: 0.194, data_time: 0.007, memory: 19921, decode.loss_ce: 0.2098, decode.acc_seg: 91.2678, loss: 0.2098 +2023-03-04 01:41:20,565 - mmseg - INFO - Iter [7850/160000] lr: 1.500e-04, eta: 8:22:13, time: 0.192, data_time: 0.007, memory: 19921, decode.loss_ce: 0.2136, decode.acc_seg: 91.2134, loss: 0.2136 +2023-03-04 01:41:30,080 - mmseg - INFO - Iter [7900/160000] lr: 1.500e-04, eta: 8:21:55, time: 0.190, data_time: 0.007, memory: 19921, decode.loss_ce: 0.2115, decode.acc_seg: 91.3416, loss: 0.2115 +2023-03-04 01:41:39,934 - mmseg - INFO - Iter [7950/160000] lr: 1.500e-04, eta: 8:21:45, time: 0.197, data_time: 0.007, memory: 19921, decode.loss_ce: 0.2161, decode.acc_seg: 91.1373, loss: 0.2161 +2023-03-04 01:41:49,405 - mmseg - INFO - Exp name: ablation_segformer_mit_b2_segformer_head_unet_fc_small_multi_step_ade_single_stage.py +2023-03-04 01:41:49,406 - mmseg - INFO - Iter [8000/160000] lr: 1.500e-04, eta: 8:21:26, time: 0.189, data_time: 0.007, memory: 19921, decode.loss_ce: 0.2250, decode.acc_seg: 90.8288, loss: 0.2250 +2023-03-04 01:41:59,215 - mmseg - INFO - Iter [8050/160000] lr: 1.500e-04, eta: 8:21:15, time: 0.196, data_time: 0.007, memory: 19921, decode.loss_ce: 0.2019, decode.acc_seg: 91.6855, loss: 0.2019 +2023-03-04 01:42:08,906 - mmseg - INFO - Iter [8100/160000] lr: 1.500e-04, eta: 8:21:01, time: 0.194, data_time: 0.007, memory: 19921, decode.loss_ce: 0.2238, decode.acc_seg: 91.0430, loss: 0.2238 +2023-03-04 01:42:18,740 - mmseg - INFO - Iter [8150/160000] lr: 1.500e-04, eta: 8:20:50, time: 0.197, data_time: 0.007, memory: 19921, decode.loss_ce: 0.2121, decode.acc_seg: 91.3623, loss: 0.2121 +2023-03-04 01:42:28,233 - mmseg - INFO - Iter [8200/160000] lr: 1.500e-04, eta: 8:20:33, time: 0.190, data_time: 0.007, memory: 19921, decode.loss_ce: 0.2126, decode.acc_seg: 91.4691, loss: 0.2126 +2023-03-04 01:42:40,272 - mmseg - INFO - Iter [8250/160000] lr: 1.500e-04, eta: 8:21:02, time: 0.241, data_time: 0.055, memory: 19921, decode.loss_ce: 0.2140, decode.acc_seg: 91.3500, loss: 0.2140 +2023-03-04 01:42:50,171 - mmseg - INFO - Iter [8300/160000] lr: 1.500e-04, eta: 8:20:52, time: 0.198, data_time: 0.007, memory: 19921, decode.loss_ce: 0.2058, decode.acc_seg: 91.4542, loss: 0.2058 +2023-03-04 01:42:59,721 - mmseg - INFO - Iter [8350/160000] lr: 1.500e-04, eta: 8:20:36, time: 0.191, data_time: 0.007, memory: 19921, decode.loss_ce: 0.2063, decode.acc_seg: 91.5194, loss: 0.2063 +2023-03-04 01:43:09,512 - mmseg - INFO - Iter [8400/160000] lr: 1.500e-04, eta: 8:20:24, time: 0.196, data_time: 0.007, memory: 19921, decode.loss_ce: 0.2083, decode.acc_seg: 91.4866, loss: 0.2083 +2023-03-04 01:43:19,338 - mmseg - INFO - Iter [8450/160000] lr: 1.500e-04, eta: 8:20:13, time: 0.197, data_time: 0.006, memory: 19921, decode.loss_ce: 0.2147, decode.acc_seg: 91.2342, loss: 0.2147 +2023-03-04 01:43:28,808 - mmseg - INFO - Iter [8500/160000] lr: 1.500e-04, eta: 8:19:55, time: 0.189, data_time: 0.007, memory: 19921, decode.loss_ce: 0.2173, decode.acc_seg: 91.2287, loss: 0.2173 +2023-03-04 01:43:38,477 - mmseg - INFO - Iter [8550/160000] lr: 1.500e-04, eta: 8:19:41, time: 0.193, data_time: 0.007, memory: 19921, decode.loss_ce: 0.2048, decode.acc_seg: 91.6518, loss: 0.2048 +2023-03-04 01:43:48,174 - mmseg - INFO - Iter [8600/160000] lr: 1.500e-04, eta: 8:19:28, time: 0.194, data_time: 0.007, memory: 19921, decode.loss_ce: 0.2153, decode.acc_seg: 91.1991, loss: 0.2153 +2023-03-04 01:43:58,165 - mmseg - INFO - Iter [8650/160000] lr: 1.500e-04, eta: 8:19:19, time: 0.200, data_time: 0.007, memory: 19921, decode.loss_ce: 0.2140, decode.acc_seg: 91.2422, loss: 0.2140 +2023-03-04 01:44:08,235 - mmseg - INFO - Iter [8700/160000] lr: 1.500e-04, eta: 8:19:13, time: 0.202, data_time: 0.007, memory: 19921, decode.loss_ce: 0.2133, decode.acc_seg: 91.3460, loss: 0.2133 +2023-03-04 01:44:18,019 - mmseg - INFO - Iter [8750/160000] lr: 1.500e-04, eta: 8:19:01, time: 0.196, data_time: 0.007, memory: 19921, decode.loss_ce: 0.2225, decode.acc_seg: 91.0538, loss: 0.2225 +2023-03-04 01:44:27,554 - mmseg - INFO - Iter [8800/160000] lr: 1.500e-04, eta: 8:18:45, time: 0.191, data_time: 0.007, memory: 19921, decode.loss_ce: 0.2271, decode.acc_seg: 90.6772, loss: 0.2271 +2023-03-04 01:44:39,727 - mmseg - INFO - Iter [8850/160000] lr: 1.500e-04, eta: 8:19:14, time: 0.243, data_time: 0.055, memory: 19921, decode.loss_ce: 0.2192, decode.acc_seg: 91.1365, loss: 0.2192 +2023-03-04 01:44:49,435 - mmseg - INFO - Iter [8900/160000] lr: 1.500e-04, eta: 8:19:00, time: 0.194, data_time: 0.007, memory: 19921, decode.loss_ce: 0.2131, decode.acc_seg: 91.3596, loss: 0.2131 +2023-03-04 01:44:58,979 - mmseg - INFO - Iter [8950/160000] lr: 1.500e-04, eta: 8:18:44, time: 0.191, data_time: 0.007, memory: 19921, decode.loss_ce: 0.2109, decode.acc_seg: 91.4565, loss: 0.2109 +2023-03-04 01:45:08,482 - mmseg - INFO - Exp name: ablation_segformer_mit_b2_segformer_head_unet_fc_small_multi_step_ade_single_stage.py +2023-03-04 01:45:08,482 - mmseg - INFO - Iter [9000/160000] lr: 1.500e-04, eta: 8:18:27, time: 0.190, data_time: 0.007, memory: 19921, decode.loss_ce: 0.2106, decode.acc_seg: 91.4053, loss: 0.2106 +2023-03-04 01:45:17,966 - mmseg - INFO - Iter [9050/160000] lr: 1.500e-04, eta: 8:18:11, time: 0.190, data_time: 0.007, memory: 19921, decode.loss_ce: 0.2111, decode.acc_seg: 91.3489, loss: 0.2111 +2023-03-04 01:45:28,352 - mmseg - INFO - Iter [9100/160000] lr: 1.500e-04, eta: 8:18:09, time: 0.208, data_time: 0.007, memory: 19921, decode.loss_ce: 0.2149, decode.acc_seg: 91.0597, loss: 0.2149 +2023-03-04 01:45:37,774 - mmseg - INFO - Iter [9150/160000] lr: 1.500e-04, eta: 8:17:51, time: 0.188, data_time: 0.007, memory: 19921, decode.loss_ce: 0.2103, decode.acc_seg: 91.3902, loss: 0.2103 +2023-03-04 01:45:47,508 - mmseg - INFO - Iter [9200/160000] lr: 1.500e-04, eta: 8:17:38, time: 0.195, data_time: 0.007, memory: 19921, decode.loss_ce: 0.2128, decode.acc_seg: 91.3981, loss: 0.2128 +2023-03-04 01:45:57,317 - mmseg - INFO - Iter [9250/160000] lr: 1.500e-04, eta: 8:17:27, time: 0.196, data_time: 0.007, memory: 19921, decode.loss_ce: 0.2109, decode.acc_seg: 91.2710, loss: 0.2109 +2023-03-04 01:46:06,775 - mmseg - INFO - Iter [9300/160000] lr: 1.500e-04, eta: 8:17:10, time: 0.189, data_time: 0.007, memory: 19921, decode.loss_ce: 0.2209, decode.acc_seg: 91.0252, loss: 0.2209 +2023-03-04 01:46:16,210 - mmseg - INFO - Iter [9350/160000] lr: 1.500e-04, eta: 8:16:52, time: 0.189, data_time: 0.007, memory: 19921, decode.loss_ce: 0.2069, decode.acc_seg: 91.5465, loss: 0.2069 +2023-03-04 01:46:25,897 - mmseg - INFO - Iter [9400/160000] lr: 1.500e-04, eta: 8:16:39, time: 0.194, data_time: 0.007, memory: 19921, decode.loss_ce: 0.2108, decode.acc_seg: 91.4231, loss: 0.2108 +2023-03-04 01:46:35,516 - mmseg - INFO - Iter [9450/160000] lr: 1.500e-04, eta: 8:16:25, time: 0.192, data_time: 0.007, memory: 19921, decode.loss_ce: 0.2095, decode.acc_seg: 91.5012, loss: 0.2095 +2023-03-04 01:46:47,578 - mmseg - INFO - Iter [9500/160000] lr: 1.500e-04, eta: 8:16:49, time: 0.241, data_time: 0.053, memory: 19921, decode.loss_ce: 0.2108, decode.acc_seg: 91.4339, loss: 0.2108 +2023-03-04 01:46:57,104 - mmseg - INFO - Iter [9550/160000] lr: 1.500e-04, eta: 8:16:34, time: 0.191, data_time: 0.007, memory: 19921, decode.loss_ce: 0.2156, decode.acc_seg: 91.2349, loss: 0.2156 +2023-03-04 01:47:06,634 - mmseg - INFO - Iter [9600/160000] lr: 1.500e-04, eta: 8:16:18, time: 0.190, data_time: 0.007, memory: 19921, decode.loss_ce: 0.2101, decode.acc_seg: 91.4664, loss: 0.2101 +2023-03-04 01:47:16,311 - mmseg - INFO - Iter [9650/160000] lr: 1.500e-04, eta: 8:16:04, time: 0.194, data_time: 0.007, memory: 19921, decode.loss_ce: 0.2096, decode.acc_seg: 91.4555, loss: 0.2096 +2023-03-04 01:47:26,973 - mmseg - INFO - Iter [9700/160000] lr: 1.500e-04, eta: 8:16:06, time: 0.213, data_time: 0.007, memory: 19921, decode.loss_ce: 0.2136, decode.acc_seg: 91.3400, loss: 0.2136 +2023-03-04 01:47:36,578 - mmseg - INFO - Iter [9750/160000] lr: 1.500e-04, eta: 8:15:52, time: 0.192, data_time: 0.007, memory: 19921, decode.loss_ce: 0.2111, decode.acc_seg: 91.4948, loss: 0.2111 +2023-03-04 01:47:46,153 - mmseg - INFO - Iter [9800/160000] lr: 1.500e-04, eta: 8:15:37, time: 0.191, data_time: 0.006, memory: 19921, decode.loss_ce: 0.2145, decode.acc_seg: 91.2461, loss: 0.2145 +2023-03-04 01:47:55,667 - mmseg - INFO - Iter [9850/160000] lr: 1.500e-04, eta: 8:15:21, time: 0.190, data_time: 0.007, memory: 19921, decode.loss_ce: 0.2226, decode.acc_seg: 90.9099, loss: 0.2226 +2023-03-04 01:48:05,229 - mmseg - INFO - Iter [9900/160000] lr: 1.500e-04, eta: 8:15:06, time: 0.191, data_time: 0.007, memory: 19921, decode.loss_ce: 0.2185, decode.acc_seg: 91.0962, loss: 0.2185 +2023-03-04 01:48:14,664 - mmseg - INFO - Iter [9950/160000] lr: 1.500e-04, eta: 8:14:49, time: 0.189, data_time: 0.007, memory: 19921, decode.loss_ce: 0.2142, decode.acc_seg: 91.3072, loss: 0.2142 +2023-03-04 01:48:24,289 - mmseg - INFO - Exp name: ablation_segformer_mit_b2_segformer_head_unet_fc_small_multi_step_ade_single_stage.py +2023-03-04 01:48:24,289 - mmseg - INFO - Iter [10000/160000] lr: 1.500e-04, eta: 8:14:35, time: 0.193, data_time: 0.007, memory: 19921, decode.loss_ce: 0.2159, decode.acc_seg: 91.0752, loss: 0.2159 +2023-03-04 01:48:33,846 - mmseg - INFO - Iter [10050/160000] lr: 1.500e-04, eta: 8:14:21, time: 0.191, data_time: 0.007, memory: 19921, decode.loss_ce: 0.2245, decode.acc_seg: 90.8781, loss: 0.2245 +2023-03-04 01:48:45,872 - mmseg - INFO - Iter [10100/160000] lr: 1.500e-04, eta: 8:14:42, time: 0.241, data_time: 0.054, memory: 19921, decode.loss_ce: 0.2102, decode.acc_seg: 91.4316, loss: 0.2102 +2023-03-04 01:48:55,545 - mmseg - INFO - Iter [10150/160000] lr: 1.500e-04, eta: 8:14:29, time: 0.193, data_time: 0.006, memory: 19921, decode.loss_ce: 0.2122, decode.acc_seg: 91.4881, loss: 0.2122 +2023-03-04 01:49:05,039 - mmseg - INFO - Iter [10200/160000] lr: 1.500e-04, eta: 8:14:13, time: 0.190, data_time: 0.007, memory: 19921, decode.loss_ce: 0.2158, decode.acc_seg: 91.2172, loss: 0.2158 +2023-03-04 01:49:14,529 - mmseg - INFO - Iter [10250/160000] lr: 1.500e-04, eta: 8:13:57, time: 0.190, data_time: 0.007, memory: 19921, decode.loss_ce: 0.2100, decode.acc_seg: 91.4740, loss: 0.2100 +2023-03-04 01:49:24,058 - mmseg - INFO - Iter [10300/160000] lr: 1.500e-04, eta: 8:13:42, time: 0.191, data_time: 0.007, memory: 19921, decode.loss_ce: 0.2085, decode.acc_seg: 91.4400, loss: 0.2085 +2023-03-04 01:49:33,683 - mmseg - INFO - Iter [10350/160000] lr: 1.500e-04, eta: 8:13:28, time: 0.192, data_time: 0.007, memory: 19921, decode.loss_ce: 0.2172, decode.acc_seg: 91.1581, loss: 0.2172 +2023-03-04 01:49:43,524 - mmseg - INFO - Iter [10400/160000] lr: 1.500e-04, eta: 8:13:18, time: 0.197, data_time: 0.007, memory: 19921, decode.loss_ce: 0.2121, decode.acc_seg: 91.4003, loss: 0.2121 +2023-03-04 01:49:53,447 - mmseg - INFO - Iter [10450/160000] lr: 1.500e-04, eta: 8:13:08, time: 0.198, data_time: 0.007, memory: 19921, decode.loss_ce: 0.2065, decode.acc_seg: 91.4708, loss: 0.2065 +2023-03-04 01:50:02,987 - mmseg - INFO - Iter [10500/160000] lr: 1.500e-04, eta: 8:12:53, time: 0.191, data_time: 0.007, memory: 19921, decode.loss_ce: 0.2149, decode.acc_seg: 91.2158, loss: 0.2149 +2023-03-04 01:50:12,891 - mmseg - INFO - Iter [10550/160000] lr: 1.500e-04, eta: 8:12:44, time: 0.198, data_time: 0.007, memory: 19921, decode.loss_ce: 0.2171, decode.acc_seg: 91.1323, loss: 0.2171 +2023-03-04 01:50:22,690 - mmseg - INFO - Iter [10600/160000] lr: 1.500e-04, eta: 8:12:32, time: 0.196, data_time: 0.007, memory: 19921, decode.loss_ce: 0.2077, decode.acc_seg: 91.3482, loss: 0.2077 +2023-03-04 01:50:32,185 - mmseg - INFO - Iter [10650/160000] lr: 1.500e-04, eta: 8:12:17, time: 0.190, data_time: 0.007, memory: 19921, decode.loss_ce: 0.2171, decode.acc_seg: 91.2271, loss: 0.2171 +2023-03-04 01:50:41,985 - mmseg - INFO - Iter [10700/160000] lr: 1.500e-04, eta: 8:12:06, time: 0.196, data_time: 0.007, memory: 19921, decode.loss_ce: 0.2121, decode.acc_seg: 91.3876, loss: 0.2121 +2023-03-04 01:50:54,150 - mmseg - INFO - Iter [10750/160000] lr: 1.500e-04, eta: 8:12:27, time: 0.243, data_time: 0.053, memory: 19921, decode.loss_ce: 0.2185, decode.acc_seg: 91.0973, loss: 0.2185 +2023-03-04 01:51:03,865 - mmseg - INFO - Iter [10800/160000] lr: 1.500e-04, eta: 8:12:15, time: 0.195, data_time: 0.007, memory: 19921, decode.loss_ce: 0.2173, decode.acc_seg: 91.1155, loss: 0.2173 +2023-03-04 01:51:13,334 - mmseg - INFO - Iter [10850/160000] lr: 1.500e-04, eta: 8:11:59, time: 0.189, data_time: 0.007, memory: 19921, decode.loss_ce: 0.2097, decode.acc_seg: 91.3372, loss: 0.2097 +2023-03-04 01:51:22,800 - mmseg - INFO - Iter [10900/160000] lr: 1.500e-04, eta: 8:11:44, time: 0.189, data_time: 0.007, memory: 19921, decode.loss_ce: 0.2142, decode.acc_seg: 91.0907, loss: 0.2142 +2023-03-04 01:51:32,588 - mmseg - INFO - Iter [10950/160000] lr: 1.500e-04, eta: 8:11:32, time: 0.196, data_time: 0.007, memory: 19921, decode.loss_ce: 0.2033, decode.acc_seg: 91.6496, loss: 0.2033 +2023-03-04 01:51:42,052 - mmseg - INFO - Exp name: ablation_segformer_mit_b2_segformer_head_unet_fc_small_multi_step_ade_single_stage.py +2023-03-04 01:51:42,052 - mmseg - INFO - Iter [11000/160000] lr: 1.500e-04, eta: 8:11:16, time: 0.189, data_time: 0.006, memory: 19921, decode.loss_ce: 0.2270, decode.acc_seg: 90.8983, loss: 0.2270 +2023-03-04 01:51:51,594 - mmseg - INFO - Iter [11050/160000] lr: 1.500e-04, eta: 8:11:02, time: 0.191, data_time: 0.007, memory: 19921, decode.loss_ce: 0.2131, decode.acc_seg: 91.2520, loss: 0.2131 +2023-03-04 01:52:01,027 - mmseg - INFO - Iter [11100/160000] lr: 1.500e-04, eta: 8:10:46, time: 0.189, data_time: 0.007, memory: 19921, decode.loss_ce: 0.2124, decode.acc_seg: 91.3305, loss: 0.2124 +2023-03-04 01:52:10,617 - mmseg - INFO - Iter [11150/160000] lr: 1.500e-04, eta: 8:10:32, time: 0.192, data_time: 0.007, memory: 19921, decode.loss_ce: 0.2098, decode.acc_seg: 91.4360, loss: 0.2098 +2023-03-04 01:52:20,527 - mmseg - INFO - Iter [11200/160000] lr: 1.500e-04, eta: 8:10:22, time: 0.198, data_time: 0.007, memory: 19921, decode.loss_ce: 0.2092, decode.acc_seg: 91.5816, loss: 0.2092 +2023-03-04 01:52:30,109 - mmseg - INFO - Iter [11250/160000] lr: 1.500e-04, eta: 8:10:08, time: 0.192, data_time: 0.007, memory: 19921, decode.loss_ce: 0.2158, decode.acc_seg: 91.2581, loss: 0.2158 +2023-03-04 01:52:39,737 - mmseg - INFO - Iter [11300/160000] lr: 1.500e-04, eta: 8:09:55, time: 0.193, data_time: 0.007, memory: 19921, decode.loss_ce: 0.2117, decode.acc_seg: 91.2936, loss: 0.2117 +2023-03-04 01:52:49,171 - mmseg - INFO - Iter [11350/160000] lr: 1.500e-04, eta: 8:09:39, time: 0.189, data_time: 0.006, memory: 19921, decode.loss_ce: 0.2184, decode.acc_seg: 90.9574, loss: 0.2184 +2023-03-04 01:53:01,133 - mmseg - INFO - Iter [11400/160000] lr: 1.500e-04, eta: 8:09:57, time: 0.239, data_time: 0.056, memory: 19921, decode.loss_ce: 0.2168, decode.acc_seg: 91.2498, loss: 0.2168 +2023-03-04 01:53:10,663 - mmseg - INFO - Iter [11450/160000] lr: 1.500e-04, eta: 8:09:42, time: 0.191, data_time: 0.007, memory: 19921, decode.loss_ce: 0.2173, decode.acc_seg: 91.1711, loss: 0.2173 +2023-03-04 01:53:20,177 - mmseg - INFO - Iter [11500/160000] lr: 1.500e-04, eta: 8:09:27, time: 0.190, data_time: 0.007, memory: 19921, decode.loss_ce: 0.2223, decode.acc_seg: 91.0130, loss: 0.2223 +2023-03-04 01:53:29,648 - mmseg - INFO - Iter [11550/160000] lr: 1.500e-04, eta: 8:09:12, time: 0.189, data_time: 0.007, memory: 19921, decode.loss_ce: 0.2039, decode.acc_seg: 91.4096, loss: 0.2039 +2023-03-04 01:53:39,359 - mmseg - INFO - Iter [11600/160000] lr: 1.500e-04, eta: 8:09:00, time: 0.194, data_time: 0.007, memory: 19921, decode.loss_ce: 0.2115, decode.acc_seg: 91.4817, loss: 0.2115 +2023-03-04 01:53:48,928 - mmseg - INFO - Iter [11650/160000] lr: 1.500e-04, eta: 8:08:46, time: 0.191, data_time: 0.007, memory: 19921, decode.loss_ce: 0.2105, decode.acc_seg: 91.5012, loss: 0.2105 +2023-03-04 01:53:58,864 - mmseg - INFO - Iter [11700/160000] lr: 1.500e-04, eta: 8:08:37, time: 0.199, data_time: 0.007, memory: 19921, decode.loss_ce: 0.2082, decode.acc_seg: 91.5995, loss: 0.2082 +2023-03-04 01:54:08,526 - mmseg - INFO - Iter [11750/160000] lr: 1.500e-04, eta: 8:08:24, time: 0.193, data_time: 0.007, memory: 19921, decode.loss_ce: 0.2090, decode.acc_seg: 91.4599, loss: 0.2090 +2023-03-04 01:54:18,119 - mmseg - INFO - Iter [11800/160000] lr: 1.500e-04, eta: 8:08:11, time: 0.192, data_time: 0.007, memory: 19921, decode.loss_ce: 0.2104, decode.acc_seg: 91.4590, loss: 0.2104 +2023-03-04 01:54:27,869 - mmseg - INFO - Iter [11850/160000] lr: 1.500e-04, eta: 8:07:59, time: 0.195, data_time: 0.006, memory: 19921, decode.loss_ce: 0.2121, decode.acc_seg: 91.4000, loss: 0.2121 +2023-03-04 01:54:37,863 - mmseg - INFO - Iter [11900/160000] lr: 1.500e-04, eta: 8:07:51, time: 0.200, data_time: 0.006, memory: 19921, decode.loss_ce: 0.2176, decode.acc_seg: 91.2323, loss: 0.2176 +2023-03-04 01:54:47,530 - mmseg - INFO - Iter [11950/160000] lr: 1.500e-04, eta: 8:07:38, time: 0.193, data_time: 0.007, memory: 19921, decode.loss_ce: 0.1996, decode.acc_seg: 91.7454, loss: 0.1996 +2023-03-04 01:54:59,667 - mmseg - INFO - Exp name: ablation_segformer_mit_b2_segformer_head_unet_fc_small_multi_step_ade_single_stage.py +2023-03-04 01:54:59,667 - mmseg - INFO - Iter [12000/160000] lr: 1.500e-04, eta: 8:07:56, time: 0.242, data_time: 0.053, memory: 19921, decode.loss_ce: 0.2134, decode.acc_seg: 91.3886, loss: 0.2134 +2023-03-04 01:55:09,184 - mmseg - INFO - Iter [12050/160000] lr: 1.500e-04, eta: 8:07:41, time: 0.191, data_time: 0.007, memory: 19921, decode.loss_ce: 0.2147, decode.acc_seg: 91.3081, loss: 0.2147 +2023-03-04 01:55:18,793 - mmseg - INFO - Iter [12100/160000] lr: 1.500e-04, eta: 8:07:28, time: 0.192, data_time: 0.007, memory: 19921, decode.loss_ce: 0.2107, decode.acc_seg: 91.2782, loss: 0.2107 +2023-03-04 01:55:28,552 - mmseg - INFO - Iter [12150/160000] lr: 1.500e-04, eta: 8:07:17, time: 0.195, data_time: 0.007, memory: 19921, decode.loss_ce: 0.2142, decode.acc_seg: 91.2472, loss: 0.2142 +2023-03-04 01:55:38,068 - mmseg - INFO - Iter [12200/160000] lr: 1.500e-04, eta: 8:07:02, time: 0.190, data_time: 0.007, memory: 19921, decode.loss_ce: 0.2222, decode.acc_seg: 90.9486, loss: 0.2222 +2023-03-04 01:55:47,780 - mmseg - INFO - Iter [12250/160000] lr: 1.500e-04, eta: 8:06:50, time: 0.194, data_time: 0.007, memory: 19921, decode.loss_ce: 0.2137, decode.acc_seg: 91.2689, loss: 0.2137 +2023-03-04 01:55:57,375 - mmseg - INFO - Iter [12300/160000] lr: 1.500e-04, eta: 8:06:37, time: 0.192, data_time: 0.007, memory: 19921, decode.loss_ce: 0.2165, decode.acc_seg: 91.1776, loss: 0.2165 +2023-03-04 01:56:07,586 - mmseg - INFO - Iter [12350/160000] lr: 1.500e-04, eta: 8:06:31, time: 0.204, data_time: 0.007, memory: 19921, decode.loss_ce: 0.2052, decode.acc_seg: 91.5552, loss: 0.2052 +2023-03-04 01:56:17,470 - mmseg - INFO - Iter [12400/160000] lr: 1.500e-04, eta: 8:06:21, time: 0.198, data_time: 0.007, memory: 19921, decode.loss_ce: 0.2147, decode.acc_seg: 91.1426, loss: 0.2147 +2023-03-04 01:56:27,506 - mmseg - INFO - Iter [12450/160000] lr: 1.500e-04, eta: 8:06:13, time: 0.201, data_time: 0.007, memory: 19921, decode.loss_ce: 0.2097, decode.acc_seg: 91.3304, loss: 0.2097 +2023-03-04 01:56:37,260 - mmseg - INFO - Iter [12500/160000] lr: 1.500e-04, eta: 8:06:01, time: 0.195, data_time: 0.007, memory: 19921, decode.loss_ce: 0.2121, decode.acc_seg: 91.1433, loss: 0.2121 +2023-03-04 01:56:46,984 - mmseg - INFO - Iter [12550/160000] lr: 1.500e-04, eta: 8:05:50, time: 0.194, data_time: 0.007, memory: 19921, decode.loss_ce: 0.2057, decode.acc_seg: 91.5099, loss: 0.2057 +2023-03-04 01:56:56,441 - mmseg - INFO - Iter [12600/160000] lr: 1.500e-04, eta: 8:05:35, time: 0.189, data_time: 0.007, memory: 19921, decode.loss_ce: 0.2105, decode.acc_seg: 91.5618, loss: 0.2105 +2023-03-04 01:57:08,413 - mmseg - INFO - Iter [12650/160000] lr: 1.500e-04, eta: 8:05:49, time: 0.239, data_time: 0.054, memory: 19921, decode.loss_ce: 0.2037, decode.acc_seg: 91.7778, loss: 0.2037 +2023-03-04 01:57:17,879 - mmseg - INFO - Iter [12700/160000] lr: 1.500e-04, eta: 8:05:34, time: 0.189, data_time: 0.007, memory: 19921, decode.loss_ce: 0.2117, decode.acc_seg: 91.3477, loss: 0.2117 +2023-03-04 01:57:27,399 - mmseg - INFO - Iter [12750/160000] lr: 1.500e-04, eta: 8:05:20, time: 0.190, data_time: 0.007, memory: 19921, decode.loss_ce: 0.2050, decode.acc_seg: 91.5206, loss: 0.2050 +2023-03-04 01:57:37,069 - mmseg - INFO - Iter [12800/160000] lr: 1.500e-04, eta: 8:05:08, time: 0.193, data_time: 0.007, memory: 19921, decode.loss_ce: 0.2095, decode.acc_seg: 91.4123, loss: 0.2095 +2023-03-04 01:57:46,902 - mmseg - INFO - Iter [12850/160000] lr: 1.500e-04, eta: 8:04:57, time: 0.197, data_time: 0.007, memory: 19921, decode.loss_ce: 0.2110, decode.acc_seg: 91.4188, loss: 0.2110 +2023-03-04 01:57:56,530 - mmseg - INFO - Iter [12900/160000] lr: 1.500e-04, eta: 8:04:44, time: 0.193, data_time: 0.007, memory: 19921, decode.loss_ce: 0.2081, decode.acc_seg: 91.4964, loss: 0.2081 +2023-03-04 01:58:06,148 - mmseg - INFO - Iter [12950/160000] lr: 1.500e-04, eta: 8:04:31, time: 0.192, data_time: 0.007, memory: 19921, decode.loss_ce: 0.2107, decode.acc_seg: 91.3294, loss: 0.2107 +2023-03-04 01:58:15,869 - mmseg - INFO - Exp name: ablation_segformer_mit_b2_segformer_head_unet_fc_small_multi_step_ade_single_stage.py +2023-03-04 01:58:15,869 - mmseg - INFO - Iter [13000/160000] lr: 1.500e-04, eta: 8:04:20, time: 0.195, data_time: 0.007, memory: 19921, decode.loss_ce: 0.2116, decode.acc_seg: 91.2284, loss: 0.2116 +2023-03-04 01:58:25,289 - mmseg - INFO - Iter [13050/160000] lr: 1.500e-04, eta: 8:04:05, time: 0.188, data_time: 0.007, memory: 19921, decode.loss_ce: 0.2197, decode.acc_seg: 91.0632, loss: 0.2197 +2023-03-04 01:58:34,880 - mmseg - INFO - Iter [13100/160000] lr: 1.500e-04, eta: 8:03:52, time: 0.192, data_time: 0.007, memory: 19921, decode.loss_ce: 0.2102, decode.acc_seg: 91.5253, loss: 0.2102 +2023-03-04 01:58:44,475 - mmseg - INFO - Iter [13150/160000] lr: 1.500e-04, eta: 8:03:38, time: 0.192, data_time: 0.007, memory: 19921, decode.loss_ce: 0.2088, decode.acc_seg: 91.4345, loss: 0.2088 +2023-03-04 01:58:54,031 - mmseg - INFO - Iter [13200/160000] lr: 1.500e-04, eta: 8:03:25, time: 0.191, data_time: 0.007, memory: 19921, decode.loss_ce: 0.2171, decode.acc_seg: 91.1490, loss: 0.2171 +2023-03-04 01:59:03,415 - mmseg - INFO - Iter [13250/160000] lr: 1.500e-04, eta: 8:03:10, time: 0.188, data_time: 0.007, memory: 19921, decode.loss_ce: 0.2106, decode.acc_seg: 91.3484, loss: 0.2106 +2023-03-04 01:59:15,853 - mmseg - INFO - Iter [13300/160000] lr: 1.500e-04, eta: 8:03:28, time: 0.249, data_time: 0.055, memory: 19921, decode.loss_ce: 0.2051, decode.acc_seg: 91.5264, loss: 0.2051 +2023-03-04 01:59:25,453 - mmseg - INFO - Iter [13350/160000] lr: 1.500e-04, eta: 8:03:15, time: 0.192, data_time: 0.007, memory: 19921, decode.loss_ce: 0.2086, decode.acc_seg: 91.3774, loss: 0.2086 +2023-03-04 01:59:35,050 - mmseg - INFO - Iter [13400/160000] lr: 1.500e-04, eta: 8:03:02, time: 0.192, data_time: 0.007, memory: 19921, decode.loss_ce: 0.2184, decode.acc_seg: 91.1101, loss: 0.2184 +2023-03-04 01:59:44,760 - mmseg - INFO - Iter [13450/160000] lr: 1.500e-04, eta: 8:02:50, time: 0.194, data_time: 0.007, memory: 19921, decode.loss_ce: 0.2163, decode.acc_seg: 91.1127, loss: 0.2163 +2023-03-04 01:59:54,458 - mmseg - INFO - Iter [13500/160000] lr: 1.500e-04, eta: 8:02:38, time: 0.194, data_time: 0.007, memory: 19921, decode.loss_ce: 0.2158, decode.acc_seg: 91.2796, loss: 0.2158 +2023-03-04 02:00:04,923 - mmseg - INFO - Iter [13550/160000] lr: 1.500e-04, eta: 8:02:34, time: 0.209, data_time: 0.007, memory: 19921, decode.loss_ce: 0.2050, decode.acc_seg: 91.6786, loss: 0.2050 +2023-03-04 02:00:14,779 - mmseg - INFO - Iter [13600/160000] lr: 1.500e-04, eta: 8:02:24, time: 0.197, data_time: 0.007, memory: 19921, decode.loss_ce: 0.2020, decode.acc_seg: 91.6694, loss: 0.2020 +2023-03-04 02:00:24,366 - mmseg - INFO - Iter [13650/160000] lr: 1.500e-04, eta: 8:02:11, time: 0.192, data_time: 0.007, memory: 19921, decode.loss_ce: 0.2201, decode.acc_seg: 91.1002, loss: 0.2201 +2023-03-04 02:00:33,941 - mmseg - INFO - Iter [13700/160000] lr: 1.500e-04, eta: 8:01:58, time: 0.191, data_time: 0.007, memory: 19921, decode.loss_ce: 0.2139, decode.acc_seg: 91.2651, loss: 0.2139 +2023-03-04 02:00:43,496 - mmseg - INFO - Iter [13750/160000] lr: 1.500e-04, eta: 8:01:45, time: 0.191, data_time: 0.007, memory: 19921, decode.loss_ce: 0.2222, decode.acc_seg: 91.2717, loss: 0.2222 +2023-03-04 02:00:52,921 - mmseg - INFO - Iter [13800/160000] lr: 1.500e-04, eta: 8:01:30, time: 0.189, data_time: 0.007, memory: 19921, decode.loss_ce: 0.2136, decode.acc_seg: 91.3433, loss: 0.2136 +2023-03-04 02:01:02,591 - mmseg - INFO - Iter [13850/160000] lr: 1.500e-04, eta: 8:01:18, time: 0.193, data_time: 0.007, memory: 19921, decode.loss_ce: 0.2120, decode.acc_seg: 91.3484, loss: 0.2120 +2023-03-04 02:01:14,688 - mmseg - INFO - Iter [13900/160000] lr: 1.500e-04, eta: 8:01:31, time: 0.242, data_time: 0.055, memory: 19921, decode.loss_ce: 0.2136, decode.acc_seg: 91.2367, loss: 0.2136 +2023-03-04 02:01:24,842 - mmseg - INFO - Iter [13950/160000] lr: 1.500e-04, eta: 8:01:24, time: 0.203, data_time: 0.006, memory: 19921, decode.loss_ce: 0.2160, decode.acc_seg: 91.1527, loss: 0.2160 +2023-03-04 02:01:34,695 - mmseg - INFO - Exp name: ablation_segformer_mit_b2_segformer_head_unet_fc_small_multi_step_ade_single_stage.py +2023-03-04 02:01:34,695 - mmseg - INFO - Iter [14000/160000] lr: 1.500e-04, eta: 8:01:14, time: 0.197, data_time: 0.007, memory: 19921, decode.loss_ce: 0.2178, decode.acc_seg: 91.1539, loss: 0.2178 +2023-03-04 02:01:44,161 - mmseg - INFO - Iter [14050/160000] lr: 1.500e-04, eta: 8:01:00, time: 0.189, data_time: 0.007, memory: 19921, decode.loss_ce: 0.2206, decode.acc_seg: 91.0844, loss: 0.2206 +2023-03-04 02:01:54,046 - mmseg - INFO - Iter [14100/160000] lr: 1.500e-04, eta: 8:00:50, time: 0.197, data_time: 0.007, memory: 19921, decode.loss_ce: 0.2119, decode.acc_seg: 91.2572, loss: 0.2119 +2023-03-04 02:02:03,523 - mmseg - INFO - Iter [14150/160000] lr: 1.500e-04, eta: 8:00:36, time: 0.190, data_time: 0.007, memory: 19921, decode.loss_ce: 0.2124, decode.acc_seg: 91.3973, loss: 0.2124 +2023-03-04 02:02:12,969 - mmseg - INFO - Iter [14200/160000] lr: 1.500e-04, eta: 8:00:21, time: 0.189, data_time: 0.007, memory: 19921, decode.loss_ce: 0.2232, decode.acc_seg: 90.9221, loss: 0.2232 +2023-03-04 02:02:22,488 - mmseg - INFO - Iter [14250/160000] lr: 1.500e-04, eta: 8:00:08, time: 0.190, data_time: 0.007, memory: 19921, decode.loss_ce: 0.2119, decode.acc_seg: 91.4058, loss: 0.2119 +2023-03-04 02:02:32,055 - mmseg - INFO - Iter [14300/160000] lr: 1.500e-04, eta: 7:59:54, time: 0.191, data_time: 0.007, memory: 19921, decode.loss_ce: 0.2070, decode.acc_seg: 91.5916, loss: 0.2070 +2023-03-04 02:02:41,642 - mmseg - INFO - Iter [14350/160000] lr: 1.500e-04, eta: 7:59:41, time: 0.192, data_time: 0.007, memory: 19921, decode.loss_ce: 0.2086, decode.acc_seg: 91.5009, loss: 0.2086 +2023-03-04 02:02:51,237 - mmseg - INFO - Iter [14400/160000] lr: 1.500e-04, eta: 7:59:29, time: 0.192, data_time: 0.007, memory: 19921, decode.loss_ce: 0.2083, decode.acc_seg: 91.4695, loss: 0.2083 +2023-03-04 02:03:01,187 - mmseg - INFO - Iter [14450/160000] lr: 1.500e-04, eta: 7:59:20, time: 0.199, data_time: 0.007, memory: 19921, decode.loss_ce: 0.2117, decode.acc_seg: 91.1915, loss: 0.2117 +2023-03-04 02:03:10,784 - mmseg - INFO - Iter [14500/160000] lr: 1.500e-04, eta: 7:59:07, time: 0.192, data_time: 0.007, memory: 19921, decode.loss_ce: 0.2072, decode.acc_seg: 91.5334, loss: 0.2072 +2023-03-04 02:03:23,088 - mmseg - INFO - Iter [14550/160000] lr: 1.500e-04, eta: 7:59:21, time: 0.246, data_time: 0.054, memory: 19921, decode.loss_ce: 0.2114, decode.acc_seg: 91.4937, loss: 0.2114 +2023-03-04 02:03:32,487 - mmseg - INFO - Iter [14600/160000] lr: 1.500e-04, eta: 7:59:07, time: 0.188, data_time: 0.007, memory: 19921, decode.loss_ce: 0.2121, decode.acc_seg: 91.3173, loss: 0.2121 +2023-03-04 02:03:41,985 - mmseg - INFO - Iter [14650/160000] lr: 1.500e-04, eta: 7:58:53, time: 0.190, data_time: 0.007, memory: 19921, decode.loss_ce: 0.2099, decode.acc_seg: 91.4380, loss: 0.2099 +2023-03-04 02:03:51,516 - mmseg - INFO - Iter [14700/160000] lr: 1.500e-04, eta: 7:58:39, time: 0.191, data_time: 0.007, memory: 19921, decode.loss_ce: 0.2119, decode.acc_seg: 91.2213, loss: 0.2119 +2023-03-04 02:04:01,039 - mmseg - INFO - Iter [14750/160000] lr: 1.500e-04, eta: 7:58:26, time: 0.190, data_time: 0.007, memory: 19921, decode.loss_ce: 0.2071, decode.acc_seg: 91.5912, loss: 0.2071 +2023-03-04 02:04:10,569 - mmseg - INFO - Iter [14800/160000] lr: 1.500e-04, eta: 7:58:13, time: 0.191, data_time: 0.007, memory: 19921, decode.loss_ce: 0.2175, decode.acc_seg: 91.2575, loss: 0.2175 +2023-03-04 02:04:20,076 - mmseg - INFO - Iter [14850/160000] lr: 1.500e-04, eta: 7:57:59, time: 0.190, data_time: 0.007, memory: 19921, decode.loss_ce: 0.2055, decode.acc_seg: 91.6556, loss: 0.2055 +2023-03-04 02:04:29,796 - mmseg - INFO - Iter [14900/160000] lr: 1.500e-04, eta: 7:57:48, time: 0.195, data_time: 0.007, memory: 19921, decode.loss_ce: 0.2136, decode.acc_seg: 91.2280, loss: 0.2136 +2023-03-04 02:04:39,543 - mmseg - INFO - Iter [14950/160000] lr: 1.500e-04, eta: 7:57:37, time: 0.195, data_time: 0.007, memory: 19921, decode.loss_ce: 0.2179, decode.acc_seg: 91.0310, loss: 0.2179 +2023-03-04 02:04:49,170 - mmseg - INFO - Exp name: ablation_segformer_mit_b2_segformer_head_unet_fc_small_multi_step_ade_single_stage.py +2023-03-04 02:04:49,170 - mmseg - INFO - Iter [15000/160000] lr: 1.500e-04, eta: 7:57:24, time: 0.193, data_time: 0.007, memory: 19921, decode.loss_ce: 0.2041, decode.acc_seg: 91.6367, loss: 0.2041 +2023-03-04 02:04:58,729 - mmseg - INFO - Iter [15050/160000] lr: 1.500e-04, eta: 7:57:11, time: 0.191, data_time: 0.007, memory: 19921, decode.loss_ce: 0.2177, decode.acc_seg: 91.1118, loss: 0.2177 +2023-03-04 02:05:08,438 - mmseg - INFO - Iter [15100/160000] lr: 1.500e-04, eta: 7:57:00, time: 0.194, data_time: 0.007, memory: 19921, decode.loss_ce: 0.2047, decode.acc_seg: 91.6236, loss: 0.2047 +2023-03-04 02:05:20,452 - mmseg - INFO - Iter [15150/160000] lr: 1.500e-04, eta: 7:57:10, time: 0.240, data_time: 0.053, memory: 19921, decode.loss_ce: 0.2063, decode.acc_seg: 91.5282, loss: 0.2063 +2023-03-04 02:05:30,133 - mmseg - INFO - Iter [15200/160000] lr: 1.500e-04, eta: 7:56:58, time: 0.193, data_time: 0.007, memory: 19921, decode.loss_ce: 0.2123, decode.acc_seg: 91.2541, loss: 0.2123 +2023-03-04 02:05:39,909 - mmseg - INFO - Iter [15250/160000] lr: 1.500e-04, eta: 7:56:48, time: 0.196, data_time: 0.007, memory: 19921, decode.loss_ce: 0.2065, decode.acc_seg: 91.4042, loss: 0.2065 +2023-03-04 02:05:49,363 - mmseg - INFO - Iter [15300/160000] lr: 1.500e-04, eta: 7:56:34, time: 0.189, data_time: 0.007, memory: 19921, decode.loss_ce: 0.2091, decode.acc_seg: 91.3984, loss: 0.2091 +2023-03-04 02:05:58,843 - mmseg - INFO - Iter [15350/160000] lr: 1.500e-04, eta: 7:56:20, time: 0.190, data_time: 0.007, memory: 19921, decode.loss_ce: 0.2094, decode.acc_seg: 91.5071, loss: 0.2094 +2023-03-04 02:06:08,371 - mmseg - INFO - Iter [15400/160000] lr: 1.500e-04, eta: 7:56:07, time: 0.191, data_time: 0.007, memory: 19921, decode.loss_ce: 0.2199, decode.acc_seg: 91.0958, loss: 0.2199 +2023-03-04 02:06:17,924 - mmseg - INFO - Iter [15450/160000] lr: 1.500e-04, eta: 7:55:54, time: 0.191, data_time: 0.007, memory: 19921, decode.loss_ce: 0.2109, decode.acc_seg: 91.3755, loss: 0.2109 +2023-03-04 02:06:27,601 - mmseg - INFO - Iter [15500/160000] lr: 1.500e-04, eta: 7:55:42, time: 0.194, data_time: 0.007, memory: 19921, decode.loss_ce: 0.2085, decode.acc_seg: 91.4946, loss: 0.2085 +2023-03-04 02:06:37,136 - mmseg - INFO - Iter [15550/160000] lr: 1.500e-04, eta: 7:55:29, time: 0.191, data_time: 0.007, memory: 19921, decode.loss_ce: 0.2115, decode.acc_seg: 91.3376, loss: 0.2115 +2023-03-04 02:06:46,818 - mmseg - INFO - Iter [15600/160000] lr: 1.500e-04, eta: 7:55:18, time: 0.194, data_time: 0.007, memory: 19921, decode.loss_ce: 0.2202, decode.acc_seg: 91.1178, loss: 0.2202 +2023-03-04 02:06:56,534 - mmseg - INFO - Iter [15650/160000] lr: 1.500e-04, eta: 7:55:06, time: 0.194, data_time: 0.007, memory: 19921, decode.loss_ce: 0.2156, decode.acc_seg: 91.2336, loss: 0.2156 +2023-03-04 02:07:06,114 - mmseg - INFO - Iter [15700/160000] lr: 1.500e-04, eta: 7:54:54, time: 0.192, data_time: 0.007, memory: 19921, decode.loss_ce: 0.2192, decode.acc_seg: 91.1402, loss: 0.2192 +2023-03-04 02:07:15,657 - mmseg - INFO - Iter [15750/160000] lr: 1.500e-04, eta: 7:54:41, time: 0.191, data_time: 0.007, memory: 19921, decode.loss_ce: 0.2145, decode.acc_seg: 91.2291, loss: 0.2145 +2023-03-04 02:07:27,731 - mmseg - INFO - Iter [15800/160000] lr: 1.500e-04, eta: 7:54:51, time: 0.241, data_time: 0.053, memory: 19921, decode.loss_ce: 0.2157, decode.acc_seg: 91.2004, loss: 0.2157 +2023-03-04 02:07:37,504 - mmseg - INFO - Iter [15850/160000] lr: 1.500e-04, eta: 7:54:40, time: 0.195, data_time: 0.007, memory: 19921, decode.loss_ce: 0.2145, decode.acc_seg: 91.2154, loss: 0.2145 +2023-03-04 02:07:47,148 - mmseg - INFO - Iter [15900/160000] lr: 1.500e-04, eta: 7:54:28, time: 0.193, data_time: 0.007, memory: 19921, decode.loss_ce: 0.2104, decode.acc_seg: 91.6120, loss: 0.2104 +2023-03-04 02:07:56,653 - mmseg - INFO - Iter [15950/160000] lr: 1.500e-04, eta: 7:54:15, time: 0.190, data_time: 0.007, memory: 19921, decode.loss_ce: 0.2176, decode.acc_seg: 91.1212, loss: 0.2176 +2023-03-04 02:08:06,239 - mmseg - INFO - Swap parameters (after train) after iter [16000] +2023-03-04 02:08:06,253 - mmseg - INFO - Saving checkpoint at 16000 iterations +2023-03-04 02:08:07,348 - mmseg - INFO - Exp name: ablation_segformer_mit_b2_segformer_head_unet_fc_small_multi_step_ade_single_stage.py +2023-03-04 02:08:07,348 - mmseg - INFO - Iter [16000/160000] lr: 1.500e-04, eta: 7:54:12, time: 0.213, data_time: 0.007, memory: 19921, decode.loss_ce: 0.2181, decode.acc_seg: 91.2819, loss: 0.2181 +2023-03-04 02:21:39,115 - mmseg - INFO - per class results: +2023-03-04 02:21:39,124 - mmseg - INFO - ++---------------------+-------------------------------------------------------------------+ +| Class | IoU 0,10,20,30,40,50,60,70,80,90,99 | ++---------------------+-------------------------------------------------------------------+ +| background | nan,nan,nan,nan,nan,nan,nan,nan,nan,nan,nan | +| wall | 77.01,77.03,77.03,77.06,77.05,77.07,77.07,77.08,77.1,77.09,77.09 | +| building | 81.4,81.4,81.41,81.41,81.41,81.42,81.42,81.44,81.44,81.44,81.45 | +| sky | 94.37,94.37,94.37,94.37,94.37,94.37,94.38,94.38,94.38,94.38,94.39 | +| floor | 81.49,81.49,81.51,81.51,81.52,81.53,81.54,81.54,81.54,81.55,81.55 | +| tree | 73.82,73.82,73.83,73.82,73.83,73.83,73.82,73.83,73.82,73.81,73.8 | +| ceiling | 84.85,84.87,84.87,84.89,84.89,84.9,84.92,84.91,84.93,84.92,84.89 | +| road | 81.58,81.59,81.57,81.55,81.57,81.57,81.54,81.53,81.5,81.47,81.45 | +| bed | 87.47,87.47,87.44,87.42,87.43,87.43,87.43,87.43,87.43,87.43,87.36 | +| windowpane | 60.13,60.14,60.12,60.14,60.16,60.18,60.21,60.19,60.21,60.22,60.14 | +| grass | 66.97,66.95,66.97,66.96,66.96,66.98,66.97,66.98,66.96,66.97,66.98 | +| cabinet | 60.24,60.34,60.38,60.4,60.47,60.49,60.55,60.58,60.58,60.58,60.54 | +| sidewalk | 63.04,63.06,63.07,63.03,63.07,63.08,63.03,63.03,63.0,62.98,62.98 | +| person | 79.05,79.06,79.06,79.09,79.08,79.08,79.11,79.11,79.11,79.13,79.14 | +| earth | 35.42,35.44,35.41,35.45,35.42,35.4,35.42,35.43,35.41,35.41,35.36 | +| door | 44.76,44.8,44.78,44.84,44.85,44.86,44.82,44.86,44.88,44.89,44.82 | +| table | 59.57,59.61,59.54,59.56,59.55,59.57,59.57,59.52,59.51,59.53,59.47 | +| mountain | 56.65,56.65,56.66,56.61,56.66,56.62,56.62,56.64,56.81,56.83,56.86 | +| plant | 50.28,50.29,50.24,50.26,50.2,50.18,50.2,50.17,50.17,50.21,50.15 | +| curtain | 73.9,73.91,74.01,74.06,74.1,74.15,74.14,74.17,74.19,74.21,74.23 | +| chair | 55.45,55.47,55.43,55.45,55.46,55.45,55.44,55.45,55.43,55.44,55.48 | +| car | 81.05,81.06,81.06,81.08,81.1,81.11,81.11,81.11,81.11,81.11,81.11 | +| water | 57.86,57.85,57.83,57.82,57.8,57.81,57.8,57.76,57.74,57.71,57.72 | +| painting | 70.32,70.3,70.28,70.3,70.24,70.3,70.23,70.23,70.21,70.15,70.28 | +| sofa | 63.45,63.47,63.49,63.49,63.54,63.55,63.56,63.62,63.59,63.62,63.63 | +| shelf | 43.84,43.9,43.94,43.97,44.03,44.03,44.09,44.19,44.18,44.29,44.1 | +| house | 40.48,40.51,40.55,40.6,40.71,40.74,40.79,40.83,40.86,40.86,41.09 | +| sea | 60.53,60.5,60.47,60.5,60.46,60.47,60.45,60.43,60.39,60.37,60.38 | +| mirror | 64.46,64.58,64.61,64.69,64.75,64.76,64.76,64.79,64.82,64.81,64.87 | +| rug | 65.17,65.17,65.24,65.18,65.23,65.28,65.23,65.29,65.35,65.41,65.29 | +| field | 30.77,30.75,30.75,30.74,30.74,30.77,30.79,30.78,30.77,30.78,30.77 | +| armchair | 36.26,36.29,36.29,36.35,36.38,36.36,36.45,36.45,36.49,36.52,36.52 | +| seat | 66.29,66.25,66.25,66.29,66.32,66.36,66.3,66.35,66.36,66.39,66.38 | +| fence | 39.48,39.52,39.5,39.44,39.53,39.63,39.57,39.53,39.53,39.45,39.49 | +| desk | 46.83,46.91,46.99,47.07,47.09,47.15,47.15,47.24,47.19,47.13,46.96 | +| rock | 36.77,36.76,36.75,36.74,36.76,36.75,36.72,36.74,36.76,36.75,36.72 | +| wardrobe | 56.58,56.63,56.63,56.76,56.82,56.75,56.74,56.79,56.78,56.82,56.81 | +| lamp | 60.64,60.6,60.6,60.58,60.57,60.51,60.48,60.48,60.45,60.39,60.4 | +| bathtub | 75.49,75.48,75.51,75.54,75.63,75.57,75.68,75.66,75.64,75.65,75.66 | +| railing | 33.83,33.77,33.76,33.87,33.88,33.92,33.88,33.94,34.01,34.1,33.8 | +| cushion | 56.24,56.06,56.15,56.06,55.99,56.13,56.1,55.95,55.98,56.04,56.04 | +| base | 20.8,20.89,20.99,21.02,21.12,21.21,21.22,21.22,21.13,21.21,21.4 | +| box | 22.7,22.71,22.68,22.76,22.73,22.77,22.78,22.86,22.9,22.85,22.72 | +| column | 45.04,45.05,45.03,45.01,45.0,45.01,45.0,44.96,44.95,44.92,45.03 | +| signboard | 37.88,37.85,37.91,37.85,37.85,37.78,37.75,37.75,37.73,37.68,37.65 | +| chest of drawers | 35.81,35.88,35.88,35.81,35.91,35.88,35.99,36.0,35.91,35.91,36.15 | +| counter | 30.87,30.82,30.83,30.87,30.91,30.93,30.95,30.99,31.04,31.01,31.05 | +| sand | 41.01,41.01,41.05,41.04,41.05,41.08,41.12,41.11,41.15,41.15,41.16 | +| sink | 66.69,66.73,66.69,66.71,66.69,66.72,66.72,66.69,66.71,66.66,66.67 | +| skyscraper | 49.89,49.73,49.46,49.41,49.28,49.24,49.33,49.43,49.49,49.44,49.25 | +| fireplace | 74.36,74.4,74.42,74.46,74.49,74.61,74.78,74.85,74.85,74.77,74.68 | +| refrigerator | 73.85,73.94,74.09,74.15,74.1,74.27,74.23,74.19,74.22,74.22,73.84 | +| grandstand | 51.1,51.3,51.23,51.29,51.15,51.4,51.31,51.53,51.39,51.52,51.47 | +| path | 22.43,22.44,22.51,22.45,22.53,22.57,22.57,22.63,22.61,22.62,22.64 | +| stairs | 33.47,33.61,33.56,33.67,33.71,33.77,33.8,33.88,33.88,33.91,33.93 | +| runway | 67.33,67.35,67.39,67.45,67.48,67.5,67.54,67.54,67.61,67.57,67.56 | +| case | 47.56,47.61,47.58,47.65,47.62,47.62,47.64,47.57,47.64,47.67,47.61 | +| pool table | 91.69,91.65,91.68,91.7,91.7,91.72,91.69,91.75,91.75,91.76,91.72 | +| pillow | 60.09,59.99,59.98,60.02,59.93,59.88,60.03,59.98,59.99,59.96,59.94 | +| screen door | 65.56,65.44,65.41,65.34,65.27,65.36,65.57,65.7,65.68,65.7,65.39 | +| stairway | 23.74,23.75,23.76,23.75,23.88,23.93,23.97,23.91,23.95,23.94,24.04 | +| river | 11.64,11.64,11.63,11.64,11.65,11.66,11.66,11.65,11.67,11.65,11.69 | +| bridge | 31.59,31.63,31.7,31.67,31.66,31.72,31.71,31.79,31.73,31.77,31.9 | +| bookcase | 45.74,45.82,45.88,45.93,46.03,46.02,45.97,46.05,46.05,46.2,46.03 | +| blind | 38.64,38.67,38.7,38.72,38.66,38.58,38.75,38.67,38.83,38.86,38.83 | +| coffee table | 52.96,52.95,52.96,52.98,53.04,52.95,52.87,52.9,52.85,52.88,52.86 | +| toilet | 83.0,83.1,83.11,83.1,83.1,83.12,83.19,83.17,83.2,83.2,83.2 | +| flower | 38.67,38.65,38.66,38.65,38.68,38.72,38.62,38.69,38.73,38.73,38.66 | +| book | 44.85,44.88,44.86,44.88,44.9,45.02,45.06,45.08,45.09,45.21,44.89 | +| hill | 14.79,14.77,14.7,14.71,14.63,14.59,14.65,14.44,14.41,14.35,14.17 | +| bench | 43.72,43.66,43.55,43.51,43.53,43.49,43.43,43.52,43.29,43.24,43.22 | +| countertop | 54.22,54.33,54.36,54.28,54.23,54.39,54.44,54.44,54.52,54.5,54.36 | +| stove | 70.35,70.35,70.26,70.25,70.32,70.36,70.43,70.52,70.58,70.68,70.84 | +| palm | 48.25,48.11,48.16,48.13,48.07,48.05,48.01,47.92,47.96,47.86,47.78 | +| kitchen island | 41.43,41.56,41.84,41.85,41.97,42.05,42.03,42.14,42.16,42.18,42.38 | +| computer | 59.99,59.99,60.09,60.11,60.18,60.19,60.25,60.34,60.3,60.36,60.37 | +| swivel chair | 44.01,44.09,43.99,44.02,44.05,44.01,44.06,44.1,44.1,44.06,44.06 | +| boat | 71.43,71.52,71.45,71.41,71.36,71.32,71.37,71.24,71.18,71.23,71.19 | +| bar | 23.17,23.13,23.11,23.11,23.12,23.09,23.06,23.03,23.04,23.04,23.04 | +| arcade machine | 69.13,69.43,69.5,69.69,69.97,69.87,70.27,70.21,70.51,70.75,70.82 | +| hovel | 32.5,32.25,32.08,32.09,31.86,31.69,31.2,30.77,30.42,29.85,31.96 | +| bus | 78.04,78.09,77.99,78.03,77.98,78.04,78.09,77.98,77.97,78.02,77.91 | +| towel | 62.15,62.12,62.09,62.17,62.05,61.99,62.02,61.92,61.97,61.93,62.01 | +| light | 53.43,53.45,53.4,53.44,53.52,53.57,53.56,53.57,53.58,53.57,53.52 | +| truck | 17.95,17.58,17.68,17.74,17.48,17.51,17.44,17.56,17.36,17.36,17.24 | +| tower | 8.27,8.27,8.27,8.22,8.25,8.28,8.24,8.22,8.17,8.19,8.27 | +| chandelier | 63.5,63.62,63.54,63.6,63.67,63.76,63.67,63.74,63.78,63.75,63.7 | +| awning | 23.68,23.71,23.78,23.84,23.94,23.95,23.99,24.04,24.09,24.16,24.22 | +| streetlight | 25.6,25.59,25.59,25.58,25.6,25.67,25.63,25.65,25.57,25.62,25.57 | +| booth | 44.03,44.16,44.41,44.84,45.18,45.5,45.82,46.24,46.33,46.62,46.59 | +| television receiver | 62.9,63.01,62.97,63.04,63.0,63.06,63.13,63.23,63.25,63.23,63.28 | +| airplane | 57.38,57.42,57.46,57.56,57.61,57.69,57.8,57.82,57.84,57.92,57.94 | +| dirt track | 19.58,19.6,19.43,19.52,19.52,19.52,19.48,19.49,19.43,19.38,19.37 | +| apparel | 34.41,34.26,34.16,34.15,34.09,34.01,34.0,34.05,33.93,33.76,33.69 | +| pole | 18.96,18.93,18.96,18.81,18.74,18.74,18.68,18.69,18.49,18.49,18.2 | +| land | 3.59,3.58,3.6,3.69,3.72,3.78,3.8,3.79,3.8,3.8,3.86 | +| bannister | 12.05,12.07,12.08,12.14,12.24,12.41,12.43,12.48,12.71,12.76,12.74 | +| escalator | 23.92,23.87,23.9,24.0,24.02,24.02,24.05,24.07,24.06,24.09,24.13 | +| ottoman | 42.44,42.36,42.08,41.98,41.9,41.87,41.91,41.99,41.96,41.98,41.75 | +| bottle | 35.11,35.19,35.09,35.15,35.12,34.98,35.0,35.07,35.08,35.15,34.99 | +| buffet | 39.02,39.09,39.27,39.41,39.51,39.79,39.97,39.88,40.11,40.26,40.53 | +| poster | 23.28,23.29,23.2,23.32,23.32,23.15,23.2,23.19,23.26,23.25,23.28 | +| stage | 14.07,14.09,14.03,13.99,14.06,13.98,14.13,13.94,13.97,13.94,14.15 | +| van | 38.53,38.54,38.49,38.53,38.52,38.52,38.46,38.45,38.49,38.48,38.5 | +| ship | 81.56,81.85,82.1,82.3,82.06,82.18,82.26,82.42,82.28,82.32,82.05 | +| fountain | 17.82,18.04,18.0,17.87,18.03,18.0,18.09,17.96,18.06,18.18,18.23 | +| conveyer belt | 84.07,84.27,84.23,84.4,84.39,84.26,84.43,84.56,84.49,84.49,84.45 | +| canopy | 23.52,23.62,23.61,23.73,23.84,23.69,23.83,23.9,23.99,24.07,24.18 | +| washer | 74.93,74.92,75.02,75.15,75.22,75.01,75.28,75.23,75.28,75.27,75.13 | +| plaything | 20.83,20.86,20.77,20.82,20.77,20.69,20.65,20.64,20.54,20.54,20.54 | +| swimming pool | 73.05,73.03,73.21,73.33,73.4,73.48,73.54,73.43,73.48,73.5,73.6 | +| stool | 44.39,44.36,44.53,44.5,44.45,44.47,44.53,44.47,44.44,44.39,44.41 | +| barrel | 38.4,38.11,37.57,37.22,37.36,37.22,36.54,36.48,36.13,34.87,34.99 | +| basket | 23.52,23.49,23.5,23.48,23.5,23.54,23.57,23.56,23.65,23.62,23.72 | +| waterfall | 50.16,50.17,50.15,50.17,50.19,50.36,50.29,50.23,50.28,50.32,50.35 | +| tent | 95.05,95.02,95.04,94.99,94.99,95.0,94.98,94.95,94.96,94.94,94.94 | +| bag | 15.07,15.15,15.12,15.1,15.12,15.12,15.06,15.19,15.17,15.16,14.98 | +| minibike | 63.02,63.0,63.15,63.09,63.11,63.04,63.11,63.12,63.06,63.0,63.18 | +| cradle | 82.85,82.85,82.92,82.91,83.0,83.08,83.07,83.11,83.17,83.18,83.21 | +| oven | 46.99,46.9,46.89,47.03,47.06,47.07,46.99,46.9,46.83,46.74,46.7 | +| ball | 46.55,46.41,46.53,46.46,46.35,46.42,46.24,46.27,46.29,46.24,46.01 | +| food | 52.72,52.62,52.49,52.34,52.32,52.38,52.33,52.18,52.22,52.18,51.74 | +| step | 5.63,5.56,5.47,5.38,5.33,5.45,5.47,5.31,5.3,5.25,5.19 | +| tank | 52.01,51.99,51.98,51.97,51.93,51.92,51.93,51.89,51.89,51.94,51.86 | +| trade name | 28.58,28.54,28.51,28.5,28.48,28.46,28.43,28.4,28.34,28.34,28.34 | +| microwave | 73.78,73.69,73.66,73.72,73.68,73.71,73.46,73.54,73.53,73.38,73.34 | +| pot | 30.11,30.15,30.25,30.21,30.18,30.18,30.24,30.32,30.38,30.36,30.4 | +| animal | 54.18,54.28,54.3,54.26,54.35,54.24,54.3,54.22,54.14,54.15,54.19 | +| bicycle | 53.49,53.64,53.65,53.72,53.86,53.82,53.77,53.82,53.87,53.89,53.99 | +| lake | 56.9,56.87,56.88,56.85,56.83,56.84,56.79,56.79,56.73,56.73,56.69 | +| dishwasher | 63.06,63.01,62.71,62.81,62.69,62.74,62.66,62.66,62.65,62.59,62.49 | +| screen | 65.63,65.47,65.43,65.41,65.39,65.44,65.39,65.41,65.46,65.46,65.54 | +| blanket | 16.4,16.33,16.27,16.22,16.2,16.09,16.05,15.95,15.84,15.83,15.82 | +| sculpture | 55.64,55.45,55.22,55.17,54.9,54.91,54.94,54.75,54.57,54.57,54.41 | +| hood | 57.24,57.35,57.24,57.58,57.38,57.46,57.28,57.34,57.38,57.03,57.44 | +| sconce | 42.31,42.33,42.35,42.49,42.74,42.67,42.77,42.9,42.95,43.01,43.21 | +| vase | 35.72,35.72,35.69,35.7,35.64,35.64,35.67,35.64,35.66,35.62,35.57 | +| traffic light | 32.75,32.75,32.77,32.81,32.85,32.85,32.95,32.88,33.01,33.01,33.02 | +| tray | 5.35,5.45,5.51,5.53,5.47,5.58,5.62,5.72,5.73,5.79,5.89 | +| ashcan | 41.27,41.31,41.24,41.21,41.17,41.19,41.11,41.06,40.99,40.85,40.76 | +| fan | 56.87,56.81,56.91,56.91,56.84,56.67,56.84,56.7,56.68,56.79,56.77 | +| pier | 45.61,46.04,46.23,45.98,47.1,46.66,47.25,47.48,47.33,47.8,47.91 | +| crt screen | 8.28,8.36,8.42,8.45,8.59,8.65,8.7,8.73,8.79,8.83,8.91 | +| plate | 50.39,50.43,50.5,50.45,50.53,50.67,50.63,50.59,50.62,50.65,50.66 | +| monitor | 21.1,21.19,21.09,21.01,20.94,20.85,20.77,20.66,20.49,20.44,20.25 | +| bulletin board | 40.06,40.16,40.19,40.19,40.29,40.75,40.68,40.84,41.17,41.51,41.44 | +| shower | 0.81,0.83,0.77,0.86,0.96,0.84,0.9,1.0,0.93,0.97,1.03 | +| radiator | 60.7,61.0,61.17,61.6,61.78,61.81,62.24,62.44,62.73,62.97,63.08 | +| glass | 12.72,12.77,12.75,12.71,12.68,12.62,12.63,12.63,12.65,12.61,12.5 | +| clock | 34.09,34.21,34.35,34.24,34.35,34.45,34.61,34.47,34.27,34.26,34.19 | +| flag | 35.61,35.7,35.69,35.75,36.04,36.02,36.0,36.1,36.11,36.18,36.19 | ++---------------------+-------------------------------------------------------------------+ +2023-03-04 02:21:39,124 - mmseg - INFO - Summary: +2023-03-04 02:21:39,124 - mmseg - INFO - ++-------------------------------------------------------------------+ +| mIoU 0,10,20,30,40,50,60,70,80,90,99 | ++-------------------------------------------------------------------+ +| 48.06,48.07,48.07,48.09,48.11,48.12,48.14,48.14,48.14,48.14,48.14 | ++-------------------------------------------------------------------+ +2023-03-04 02:21:40,368 - mmseg - INFO - Now best checkpoint is saved as best_mIoU_iter_16000.pth. +2023-03-04 02:21:40,368 - mmseg - INFO - Best mIoU is 0.4814 at 16000 iter. +2023-03-04 02:21:40,369 - mmseg - INFO - Exp name: ablation_segformer_mit_b2_segformer_head_unet_fc_small_multi_step_ade_single_stage.py +2023-03-04 02:21:40,369 - mmseg - INFO - Iter(val) [250] mIoU: [0.4806, 0.4807, 0.4807, 0.4809, 0.4811, 0.4812, 0.4814, 0.4814, 0.4814, 0.4814, 0.4814], copy_paste: 48.06,48.07,48.07,48.09,48.11,48.12,48.14,48.14,48.14,48.14,48.14 +2023-03-04 02:21:40,375 - mmseg - INFO - Swap parameters (before train) before iter [16001] +2023-03-04 02:21:50,237 - mmseg - INFO - Iter [16050/160000] lr: 1.500e-04, eta: 9:55:34, time: 16.458, data_time: 16.269, memory: 52540, decode.loss_ce: 0.2143, decode.acc_seg: 91.2497, loss: 0.2143 +2023-03-04 02:22:00,299 - mmseg - INFO - Iter [16100/160000] lr: 1.500e-04, eta: 9:55:01, time: 0.201, data_time: 0.007, memory: 52540, decode.loss_ce: 0.2143, decode.acc_seg: 91.5036, loss: 0.2143 +2023-03-04 02:22:10,164 - mmseg - INFO - Iter [16150/160000] lr: 1.500e-04, eta: 9:54:26, time: 0.198, data_time: 0.007, memory: 52540, decode.loss_ce: 0.2055, decode.acc_seg: 91.3894, loss: 0.2055 +2023-03-04 02:22:19,852 - mmseg - INFO - Iter [16200/160000] lr: 1.500e-04, eta: 9:53:49, time: 0.194, data_time: 0.006, memory: 52540, decode.loss_ce: 0.2199, decode.acc_seg: 91.1416, loss: 0.2199 +2023-03-04 02:22:29,466 - mmseg - INFO - Iter [16250/160000] lr: 1.500e-04, eta: 9:53:12, time: 0.192, data_time: 0.007, memory: 52540, decode.loss_ce: 0.2120, decode.acc_seg: 91.3526, loss: 0.2120 +2023-03-04 02:22:39,021 - mmseg - INFO - Iter [16300/160000] lr: 1.500e-04, eta: 9:52:35, time: 0.191, data_time: 0.007, memory: 52540, decode.loss_ce: 0.2108, decode.acc_seg: 91.3761, loss: 0.2108 +2023-03-04 02:22:48,852 - mmseg - INFO - Iter [16350/160000] lr: 1.500e-04, eta: 9:52:00, time: 0.197, data_time: 0.007, memory: 52540, decode.loss_ce: 0.2142, decode.acc_seg: 91.1742, loss: 0.2142 +2023-03-04 02:22:58,502 - mmseg - INFO - Iter [16400/160000] lr: 1.500e-04, eta: 9:51:24, time: 0.193, data_time: 0.006, memory: 52540, decode.loss_ce: 0.2124, decode.acc_seg: 91.3677, loss: 0.2124 +2023-03-04 02:23:10,703 - mmseg - INFO - Iter [16450/160000] lr: 1.500e-04, eta: 9:51:10, time: 0.244, data_time: 0.054, memory: 52540, decode.loss_ce: 0.2046, decode.acc_seg: 91.6877, loss: 0.2046 +2023-03-04 02:23:20,440 - mmseg - INFO - Iter [16500/160000] lr: 1.500e-04, eta: 9:50:35, time: 0.195, data_time: 0.007, memory: 52540, decode.loss_ce: 0.2213, decode.acc_seg: 91.0935, loss: 0.2213 +2023-03-04 02:23:30,202 - mmseg - INFO - Iter [16550/160000] lr: 1.500e-04, eta: 9:50:01, time: 0.195, data_time: 0.006, memory: 52540, decode.loss_ce: 0.2106, decode.acc_seg: 91.3222, loss: 0.2106 +2023-03-04 02:23:39,777 - mmseg - INFO - Iter [16600/160000] lr: 1.500e-04, eta: 9:49:24, time: 0.191, data_time: 0.006, memory: 52540, decode.loss_ce: 0.2105, decode.acc_seg: 91.4561, loss: 0.2105 +2023-03-04 02:23:49,385 - mmseg - INFO - Iter [16650/160000] lr: 1.500e-04, eta: 9:48:49, time: 0.192, data_time: 0.007, memory: 52540, decode.loss_ce: 0.2107, decode.acc_seg: 91.3423, loss: 0.2107 +2023-03-04 02:23:58,998 - mmseg - INFO - Iter [16700/160000] lr: 1.500e-04, eta: 9:48:13, time: 0.192, data_time: 0.007, memory: 52540, decode.loss_ce: 0.2097, decode.acc_seg: 91.3871, loss: 0.2097 +2023-03-04 02:24:08,574 - mmseg - INFO - Iter [16750/160000] lr: 1.500e-04, eta: 9:47:37, time: 0.192, data_time: 0.006, memory: 52540, decode.loss_ce: 0.2099, decode.acc_seg: 91.3230, loss: 0.2099 +2023-03-04 02:24:18,169 - mmseg - INFO - Iter [16800/160000] lr: 1.500e-04, eta: 9:47:02, time: 0.192, data_time: 0.006, memory: 52540, decode.loss_ce: 0.2113, decode.acc_seg: 91.4435, loss: 0.2113 +2023-03-04 02:24:28,001 - mmseg - INFO - Iter [16850/160000] lr: 1.500e-04, eta: 9:46:29, time: 0.197, data_time: 0.007, memory: 52540, decode.loss_ce: 0.2122, decode.acc_seg: 91.4353, loss: 0.2122 +2023-03-04 02:24:37,905 - mmseg - INFO - Iter [16900/160000] lr: 1.500e-04, eta: 9:45:56, time: 0.198, data_time: 0.006, memory: 52540, decode.loss_ce: 0.2176, decode.acc_seg: 91.2141, loss: 0.2176 +2023-03-04 02:24:47,656 - mmseg - INFO - Iter [16950/160000] lr: 1.500e-04, eta: 9:45:22, time: 0.195, data_time: 0.007, memory: 52540, decode.loss_ce: 0.2121, decode.acc_seg: 91.3363, loss: 0.2121 +2023-03-04 02:24:57,271 - mmseg - INFO - Exp name: ablation_segformer_mit_b2_segformer_head_unet_fc_small_multi_step_ade_single_stage.py +2023-03-04 02:24:57,271 - mmseg - INFO - Iter [17000/160000] lr: 1.500e-04, eta: 9:44:48, time: 0.192, data_time: 0.006, memory: 52540, decode.loss_ce: 0.2269, decode.acc_seg: 90.7298, loss: 0.2269 +2023-03-04 02:25:09,302 - mmseg - INFO - Iter [17050/160000] lr: 1.500e-04, eta: 9:44:34, time: 0.241, data_time: 0.054, memory: 52540, decode.loss_ce: 0.2113, decode.acc_seg: 91.2035, loss: 0.2113 +2023-03-04 02:25:18,861 - mmseg - INFO - Iter [17100/160000] lr: 1.500e-04, eta: 9:43:59, time: 0.191, data_time: 0.006, memory: 52540, decode.loss_ce: 0.2065, decode.acc_seg: 91.5375, loss: 0.2065 +2023-03-04 02:25:28,394 - mmseg - INFO - Iter [17150/160000] lr: 1.500e-04, eta: 9:43:24, time: 0.191, data_time: 0.006, memory: 52540, decode.loss_ce: 0.1999, decode.acc_seg: 91.8795, loss: 0.1999 +2023-03-04 02:25:38,190 - mmseg - INFO - Iter [17200/160000] lr: 1.500e-04, eta: 9:42:51, time: 0.196, data_time: 0.006, memory: 52540, decode.loss_ce: 0.2169, decode.acc_seg: 91.1217, loss: 0.2169 +2023-03-04 02:25:48,047 - mmseg - INFO - Iter [17250/160000] lr: 1.500e-04, eta: 9:42:19, time: 0.197, data_time: 0.006, memory: 52540, decode.loss_ce: 0.2186, decode.acc_seg: 91.0663, loss: 0.2186 +2023-03-04 02:25:57,621 - mmseg - INFO - Iter [17300/160000] lr: 1.500e-04, eta: 9:41:45, time: 0.191, data_time: 0.006, memory: 52540, decode.loss_ce: 0.2216, decode.acc_seg: 90.9757, loss: 0.2216 +2023-03-04 02:26:07,216 - mmseg - INFO - Iter [17350/160000] lr: 1.500e-04, eta: 9:41:11, time: 0.192, data_time: 0.007, memory: 52540, decode.loss_ce: 0.2045, decode.acc_seg: 91.4924, loss: 0.2045 +2023-03-04 02:26:16,819 - mmseg - INFO - Iter [17400/160000] lr: 1.500e-04, eta: 9:40:37, time: 0.192, data_time: 0.007, memory: 52540, decode.loss_ce: 0.2220, decode.acc_seg: 90.9319, loss: 0.2220 +2023-03-04 02:26:26,482 - mmseg - INFO - Iter [17450/160000] lr: 1.500e-04, eta: 9:40:04, time: 0.193, data_time: 0.007, memory: 52540, decode.loss_ce: 0.2134, decode.acc_seg: 91.3711, loss: 0.2134 +2023-03-04 02:26:36,058 - mmseg - INFO - Iter [17500/160000] lr: 1.500e-04, eta: 9:39:30, time: 0.192, data_time: 0.007, memory: 52540, decode.loss_ce: 0.2111, decode.acc_seg: 91.4870, loss: 0.2111 +2023-03-04 02:26:45,859 - mmseg - INFO - Iter [17550/160000] lr: 1.500e-04, eta: 9:38:59, time: 0.196, data_time: 0.007, memory: 52540, decode.loss_ce: 0.2124, decode.acc_seg: 91.4776, loss: 0.2124 +2023-03-04 02:26:55,707 - mmseg - INFO - Iter [17600/160000] lr: 1.500e-04, eta: 9:38:28, time: 0.197, data_time: 0.007, memory: 52540, decode.loss_ce: 0.2065, decode.acc_seg: 91.5875, loss: 0.2065 +2023-03-04 02:27:05,606 - mmseg - INFO - Iter [17650/160000] lr: 1.500e-04, eta: 9:37:57, time: 0.198, data_time: 0.007, memory: 52540, decode.loss_ce: 0.2124, decode.acc_seg: 91.2302, loss: 0.2124 +2023-03-04 02:27:17,856 - mmseg - INFO - Iter [17700/160000] lr: 1.500e-04, eta: 9:37:45, time: 0.245, data_time: 0.054, memory: 52540, decode.loss_ce: 0.2279, decode.acc_seg: 91.0346, loss: 0.2279 +2023-03-04 02:27:27,837 - mmseg - INFO - Iter [17750/160000] lr: 1.500e-04, eta: 9:37:16, time: 0.200, data_time: 0.006, memory: 52540, decode.loss_ce: 0.2202, decode.acc_seg: 91.0353, loss: 0.2202 +2023-03-04 02:27:37,459 - mmseg - INFO - Iter [17800/160000] lr: 1.500e-04, eta: 9:36:43, time: 0.192, data_time: 0.006, memory: 52540, decode.loss_ce: 0.2210, decode.acc_seg: 91.2132, loss: 0.2210 +2023-03-04 02:27:47,131 - mmseg - INFO - Iter [17850/160000] lr: 1.500e-04, eta: 9:36:11, time: 0.193, data_time: 0.006, memory: 52540, decode.loss_ce: 0.2139, decode.acc_seg: 91.2818, loss: 0.2139 +2023-03-04 02:27:56,759 - mmseg - INFO - Iter [17900/160000] lr: 1.500e-04, eta: 9:35:39, time: 0.193, data_time: 0.007, memory: 52540, decode.loss_ce: 0.2044, decode.acc_seg: 91.7362, loss: 0.2044 +2023-03-04 02:28:06,444 - mmseg - INFO - Iter [17950/160000] lr: 1.500e-04, eta: 9:35:07, time: 0.194, data_time: 0.007, memory: 52540, decode.loss_ce: 0.2141, decode.acc_seg: 91.3529, loss: 0.2141 +2023-03-04 02:28:16,015 - mmseg - INFO - Exp name: ablation_segformer_mit_b2_segformer_head_unet_fc_small_multi_step_ade_single_stage.py +2023-03-04 02:28:16,015 - mmseg - INFO - Iter [18000/160000] lr: 1.500e-04, eta: 9:34:35, time: 0.191, data_time: 0.006, memory: 52540, decode.loss_ce: 0.2075, decode.acc_seg: 91.5913, loss: 0.2075 +2023-03-04 02:28:25,634 - mmseg - INFO - Iter [18050/160000] lr: 1.500e-04, eta: 9:34:03, time: 0.192, data_time: 0.007, memory: 52540, decode.loss_ce: 0.2232, decode.acc_seg: 90.9770, loss: 0.2232 +2023-03-04 02:28:35,339 - mmseg - INFO - Iter [18100/160000] lr: 1.500e-04, eta: 9:33:31, time: 0.194, data_time: 0.007, memory: 52540, decode.loss_ce: 0.2107, decode.acc_seg: 91.3667, loss: 0.2107 +2023-03-04 02:28:44,834 - mmseg - INFO - Iter [18150/160000] lr: 1.500e-04, eta: 9:32:59, time: 0.190, data_time: 0.007, memory: 52540, decode.loss_ce: 0.2158, decode.acc_seg: 91.4033, loss: 0.2158 +2023-03-04 02:28:54,577 - mmseg - INFO - Iter [18200/160000] lr: 1.500e-04, eta: 9:32:28, time: 0.195, data_time: 0.006, memory: 52540, decode.loss_ce: 0.2000, decode.acc_seg: 91.7463, loss: 0.2000 +2023-03-04 02:29:04,191 - mmseg - INFO - Iter [18250/160000] lr: 1.500e-04, eta: 9:31:57, time: 0.192, data_time: 0.007, memory: 52540, decode.loss_ce: 0.2081, decode.acc_seg: 91.4210, loss: 0.2081 +2023-03-04 02:29:16,172 - mmseg - INFO - Iter [18300/160000] lr: 1.500e-04, eta: 9:31:43, time: 0.240, data_time: 0.057, memory: 52540, decode.loss_ce: 0.2143, decode.acc_seg: 91.3114, loss: 0.2143 +2023-03-04 02:29:26,020 - mmseg - INFO - Iter [18350/160000] lr: 1.500e-04, eta: 9:31:14, time: 0.197, data_time: 0.006, memory: 52540, decode.loss_ce: 0.2112, decode.acc_seg: 91.3548, loss: 0.2112 +2023-03-04 02:29:35,656 - mmseg - INFO - Iter [18400/160000] lr: 1.500e-04, eta: 9:30:43, time: 0.193, data_time: 0.007, memory: 52540, decode.loss_ce: 0.2136, decode.acc_seg: 91.1318, loss: 0.2136 +2023-03-04 02:29:45,319 - mmseg - INFO - Iter [18450/160000] lr: 1.500e-04, eta: 9:30:12, time: 0.193, data_time: 0.007, memory: 52540, decode.loss_ce: 0.2226, decode.acc_seg: 91.1152, loss: 0.2226 +2023-03-04 02:29:54,900 - mmseg - INFO - Iter [18500/160000] lr: 1.500e-04, eta: 9:29:41, time: 0.192, data_time: 0.007, memory: 52540, decode.loss_ce: 0.2069, decode.acc_seg: 91.5409, loss: 0.2069 +2023-03-04 02:30:04,594 - mmseg - INFO - Iter [18550/160000] lr: 1.500e-04, eta: 9:29:11, time: 0.194, data_time: 0.007, memory: 52540, decode.loss_ce: 0.2103, decode.acc_seg: 91.3910, loss: 0.2103 +2023-03-04 02:30:14,212 - mmseg - INFO - Iter [18600/160000] lr: 1.500e-04, eta: 9:28:40, time: 0.192, data_time: 0.007, memory: 52540, decode.loss_ce: 0.2097, decode.acc_seg: 91.4816, loss: 0.2097 +2023-03-04 02:30:23,928 - mmseg - INFO - Iter [18650/160000] lr: 1.500e-04, eta: 9:28:10, time: 0.194, data_time: 0.007, memory: 52540, decode.loss_ce: 0.2064, decode.acc_seg: 91.6439, loss: 0.2064 +2023-03-04 02:30:33,520 - mmseg - INFO - Iter [18700/160000] lr: 1.500e-04, eta: 9:27:39, time: 0.192, data_time: 0.007, memory: 52540, decode.loss_ce: 0.2191, decode.acc_seg: 91.0747, loss: 0.2191 +2023-03-04 02:30:42,980 - mmseg - INFO - Iter [18750/160000] lr: 1.500e-04, eta: 9:27:08, time: 0.189, data_time: 0.006, memory: 52540, decode.loss_ce: 0.2136, decode.acc_seg: 91.0614, loss: 0.2136 +2023-03-04 02:30:52,717 - mmseg - INFO - Iter [18800/160000] lr: 1.500e-04, eta: 9:26:38, time: 0.195, data_time: 0.007, memory: 52540, decode.loss_ce: 0.2152, decode.acc_seg: 91.2032, loss: 0.2152 +2023-03-04 02:31:02,647 - mmseg - INFO - Iter [18850/160000] lr: 1.500e-04, eta: 9:26:11, time: 0.199, data_time: 0.007, memory: 52540, decode.loss_ce: 0.2164, decode.acc_seg: 91.0075, loss: 0.2164 +2023-03-04 02:31:12,415 - mmseg - INFO - Iter [18900/160000] lr: 1.500e-04, eta: 9:25:42, time: 0.195, data_time: 0.007, memory: 52540, decode.loss_ce: 0.2076, decode.acc_seg: 91.4331, loss: 0.2076 +2023-03-04 02:31:24,636 - mmseg - INFO - Iter [18950/160000] lr: 1.500e-04, eta: 9:25:31, time: 0.244, data_time: 0.055, memory: 52540, decode.loss_ce: 0.2101, decode.acc_seg: 91.4385, loss: 0.2101 +2023-03-04 02:31:34,129 - mmseg - INFO - Exp name: ablation_segformer_mit_b2_segformer_head_unet_fc_small_multi_step_ade_single_stage.py +2023-03-04 02:31:34,129 - mmseg - INFO - Iter [19000/160000] lr: 1.500e-04, eta: 9:25:00, time: 0.190, data_time: 0.006, memory: 52540, decode.loss_ce: 0.2152, decode.acc_seg: 91.2832, loss: 0.2152 +2023-03-04 02:31:43,981 - mmseg - INFO - Iter [19050/160000] lr: 1.500e-04, eta: 9:24:32, time: 0.197, data_time: 0.007, memory: 52540, decode.loss_ce: 0.2102, decode.acc_seg: 91.3768, loss: 0.2102 +2023-03-04 02:31:53,481 - mmseg - INFO - Iter [19100/160000] lr: 1.500e-04, eta: 9:24:02, time: 0.190, data_time: 0.006, memory: 52540, decode.loss_ce: 0.2123, decode.acc_seg: 91.4644, loss: 0.2123 +2023-03-04 02:32:03,172 - mmseg - INFO - Iter [19150/160000] lr: 1.500e-04, eta: 9:23:32, time: 0.194, data_time: 0.006, memory: 52540, decode.loss_ce: 0.2112, decode.acc_seg: 91.3423, loss: 0.2112 +2023-03-04 02:32:12,823 - mmseg - INFO - Iter [19200/160000] lr: 1.500e-04, eta: 9:23:03, time: 0.193, data_time: 0.006, memory: 52540, decode.loss_ce: 0.2089, decode.acc_seg: 91.5460, loss: 0.2089 +2023-03-04 02:32:22,507 - mmseg - INFO - Iter [19250/160000] lr: 1.500e-04, eta: 9:22:34, time: 0.194, data_time: 0.007, memory: 52540, decode.loss_ce: 0.2128, decode.acc_seg: 91.2827, loss: 0.2128 +2023-03-04 02:32:32,148 - mmseg - INFO - Iter [19300/160000] lr: 1.500e-04, eta: 9:22:05, time: 0.193, data_time: 0.007, memory: 52540, decode.loss_ce: 0.2148, decode.acc_seg: 91.3266, loss: 0.2148 +2023-03-04 02:32:42,018 - mmseg - INFO - Iter [19350/160000] lr: 1.500e-04, eta: 9:21:38, time: 0.197, data_time: 0.007, memory: 52540, decode.loss_ce: 0.2168, decode.acc_seg: 91.1468, loss: 0.2168 +2023-03-04 02:32:51,542 - mmseg - INFO - Iter [19400/160000] lr: 1.500e-04, eta: 9:21:08, time: 0.190, data_time: 0.007, memory: 52540, decode.loss_ce: 0.2073, decode.acc_seg: 91.4354, loss: 0.2073 +2023-03-04 02:33:01,160 - mmseg - INFO - Iter [19450/160000] lr: 1.500e-04, eta: 9:20:39, time: 0.192, data_time: 0.007, memory: 52540, decode.loss_ce: 0.2119, decode.acc_seg: 91.4679, loss: 0.2119 +2023-03-04 02:33:10,633 - mmseg - INFO - Iter [19500/160000] lr: 1.500e-04, eta: 9:20:09, time: 0.189, data_time: 0.006, memory: 52540, decode.loss_ce: 0.2083, decode.acc_seg: 91.4891, loss: 0.2083 +2023-03-04 02:33:20,400 - mmseg - INFO - Iter [19550/160000] lr: 1.500e-04, eta: 9:19:41, time: 0.195, data_time: 0.006, memory: 52540, decode.loss_ce: 0.2152, decode.acc_seg: 91.2538, loss: 0.2152 +2023-03-04 02:33:32,559 - mmseg - INFO - Iter [19600/160000] lr: 1.500e-04, eta: 9:19:31, time: 0.243, data_time: 0.054, memory: 52540, decode.loss_ce: 0.2134, decode.acc_seg: 91.3574, loss: 0.2134 +2023-03-04 02:33:42,215 - mmseg - INFO - Iter [19650/160000] lr: 1.500e-04, eta: 9:19:03, time: 0.193, data_time: 0.006, memory: 52540, decode.loss_ce: 0.2060, decode.acc_seg: 91.5215, loss: 0.2060 +2023-03-04 02:33:51,790 - mmseg - INFO - Iter [19700/160000] lr: 1.500e-04, eta: 9:18:34, time: 0.191, data_time: 0.007, memory: 52540, decode.loss_ce: 0.2090, decode.acc_seg: 91.5829, loss: 0.2090 +2023-03-04 02:34:01,245 - mmseg - INFO - Iter [19750/160000] lr: 1.500e-04, eta: 9:18:04, time: 0.189, data_time: 0.006, memory: 52540, decode.loss_ce: 0.2054, decode.acc_seg: 91.6032, loss: 0.2054 +2023-03-04 02:34:10,765 - mmseg - INFO - Iter [19800/160000] lr: 1.500e-04, eta: 9:17:35, time: 0.190, data_time: 0.006, memory: 52540, decode.loss_ce: 0.2048, decode.acc_seg: 91.4973, loss: 0.2048 +2023-03-04 02:34:20,303 - mmseg - INFO - Iter [19850/160000] lr: 1.500e-04, eta: 9:17:06, time: 0.191, data_time: 0.006, memory: 52540, decode.loss_ce: 0.2196, decode.acc_seg: 91.0893, loss: 0.2196 +2023-03-04 02:34:30,033 - mmseg - INFO - Iter [19900/160000] lr: 1.500e-04, eta: 9:16:39, time: 0.195, data_time: 0.007, memory: 52540, decode.loss_ce: 0.2149, decode.acc_seg: 91.3889, loss: 0.2149 +2023-03-04 02:34:39,813 - mmseg - INFO - Iter [19950/160000] lr: 1.500e-04, eta: 9:16:12, time: 0.196, data_time: 0.006, memory: 52540, decode.loss_ce: 0.2097, decode.acc_seg: 91.3331, loss: 0.2097 +2023-03-04 02:34:49,480 - mmseg - INFO - Exp name: ablation_segformer_mit_b2_segformer_head_unet_fc_small_multi_step_ade_single_stage.py +2023-03-04 02:34:49,480 - mmseg - INFO - Iter [20000/160000] lr: 1.500e-04, eta: 9:15:44, time: 0.193, data_time: 0.006, memory: 52540, decode.loss_ce: 0.2083, decode.acc_seg: 91.4371, loss: 0.2083 +2023-03-04 02:34:59,164 - mmseg - INFO - Iter [20050/160000] lr: 7.500e-05, eta: 9:15:17, time: 0.193, data_time: 0.006, memory: 52540, decode.loss_ce: 0.2119, decode.acc_seg: 91.3795, loss: 0.2119 +2023-03-04 02:35:08,786 - mmseg - INFO - Iter [20100/160000] lr: 7.500e-05, eta: 9:14:49, time: 0.193, data_time: 0.007, memory: 52540, decode.loss_ce: 0.2056, decode.acc_seg: 91.5524, loss: 0.2056 +2023-03-04 02:35:18,459 - mmseg - INFO - Iter [20150/160000] lr: 7.500e-05, eta: 9:14:22, time: 0.193, data_time: 0.006, memory: 52540, decode.loss_ce: 0.2129, decode.acc_seg: 91.2289, loss: 0.2129 +2023-03-04 02:35:30,503 - mmseg - INFO - Iter [20200/160000] lr: 7.500e-05, eta: 9:14:11, time: 0.241, data_time: 0.057, memory: 52540, decode.loss_ce: 0.2036, decode.acc_seg: 91.5485, loss: 0.2036 +2023-03-04 02:35:40,175 - mmseg - INFO - Iter [20250/160000] lr: 7.500e-05, eta: 9:13:44, time: 0.193, data_time: 0.006, memory: 52540, decode.loss_ce: 0.2059, decode.acc_seg: 91.5820, loss: 0.2059 +2023-03-04 02:35:49,730 - mmseg - INFO - Iter [20300/160000] lr: 7.500e-05, eta: 9:13:16, time: 0.191, data_time: 0.007, memory: 52540, decode.loss_ce: 0.2036, decode.acc_seg: 91.6367, loss: 0.2036 +2023-03-04 02:35:59,437 - mmseg - INFO - Iter [20350/160000] lr: 7.500e-05, eta: 9:12:49, time: 0.194, data_time: 0.007, memory: 52540, decode.loss_ce: 0.2000, decode.acc_seg: 91.7449, loss: 0.2000 +2023-03-04 02:36:08,929 - mmseg - INFO - Iter [20400/160000] lr: 7.500e-05, eta: 9:12:21, time: 0.190, data_time: 0.007, memory: 52540, decode.loss_ce: 0.2099, decode.acc_seg: 91.6070, loss: 0.2099 +2023-03-04 02:36:18,394 - mmseg - INFO - Iter [20450/160000] lr: 7.500e-05, eta: 9:11:52, time: 0.189, data_time: 0.007, memory: 52540, decode.loss_ce: 0.2033, decode.acc_seg: 91.5485, loss: 0.2033 +2023-03-04 02:36:28,091 - mmseg - INFO - Iter [20500/160000] lr: 7.500e-05, eta: 9:11:26, time: 0.194, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1948, decode.acc_seg: 92.0088, loss: 0.1948 +2023-03-04 02:36:37,600 - mmseg - INFO - Iter [20550/160000] lr: 7.500e-05, eta: 9:10:58, time: 0.190, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1951, decode.acc_seg: 91.8719, loss: 0.1951 +2023-03-04 02:36:47,183 - mmseg - INFO - Iter [20600/160000] lr: 7.500e-05, eta: 9:10:31, time: 0.192, data_time: 0.006, memory: 52540, decode.loss_ce: 0.1996, decode.acc_seg: 91.8046, loss: 0.1996 +2023-03-04 02:36:56,898 - mmseg - INFO - Iter [20650/160000] lr: 7.500e-05, eta: 9:10:04, time: 0.194, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1962, decode.acc_seg: 92.1227, loss: 0.1962 +2023-03-04 02:37:06,745 - mmseg - INFO - Iter [20700/160000] lr: 7.500e-05, eta: 9:09:39, time: 0.197, data_time: 0.007, memory: 52540, decode.loss_ce: 0.2082, decode.acc_seg: 91.5051, loss: 0.2082 +2023-03-04 02:37:16,394 - mmseg - INFO - Iter [20750/160000] lr: 7.500e-05, eta: 9:09:13, time: 0.193, data_time: 0.007, memory: 52540, decode.loss_ce: 0.2045, decode.acc_seg: 91.5586, loss: 0.2045 +2023-03-04 02:37:25,988 - mmseg - INFO - Iter [20800/160000] lr: 7.500e-05, eta: 9:08:46, time: 0.192, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1958, decode.acc_seg: 91.9320, loss: 0.1958 +2023-03-04 02:37:38,288 - mmseg - INFO - Iter [20850/160000] lr: 7.500e-05, eta: 9:08:37, time: 0.246, data_time: 0.057, memory: 52540, decode.loss_ce: 0.2053, decode.acc_seg: 91.6311, loss: 0.2053 +2023-03-04 02:37:47,964 - mmseg - INFO - Iter [20900/160000] lr: 7.500e-05, eta: 9:08:11, time: 0.194, data_time: 0.006, memory: 52540, decode.loss_ce: 0.2137, decode.acc_seg: 91.3757, loss: 0.2137 +2023-03-04 02:37:58,000 - mmseg - INFO - Iter [20950/160000] lr: 7.500e-05, eta: 9:07:47, time: 0.201, data_time: 0.006, memory: 52540, decode.loss_ce: 0.2026, decode.acc_seg: 91.5192, loss: 0.2026 +2023-03-04 02:38:07,691 - mmseg - INFO - Exp name: ablation_segformer_mit_b2_segformer_head_unet_fc_small_multi_step_ade_single_stage.py +2023-03-04 02:38:07,691 - mmseg - INFO - Iter [21000/160000] lr: 7.500e-05, eta: 9:07:21, time: 0.194, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1920, decode.acc_seg: 92.0036, loss: 0.1920 +2023-03-04 02:38:17,442 - mmseg - INFO - Iter [21050/160000] lr: 7.500e-05, eta: 9:06:56, time: 0.195, data_time: 0.006, memory: 52540, decode.loss_ce: 0.1950, decode.acc_seg: 91.9292, loss: 0.1950 +2023-03-04 02:38:27,220 - mmseg - INFO - Iter [21100/160000] lr: 7.500e-05, eta: 9:06:31, time: 0.196, data_time: 0.006, memory: 52540, decode.loss_ce: 0.2059, decode.acc_seg: 91.4026, loss: 0.2059 +2023-03-04 02:38:36,754 - mmseg - INFO - Iter [21150/160000] lr: 7.500e-05, eta: 9:06:04, time: 0.191, data_time: 0.007, memory: 52540, decode.loss_ce: 0.2012, decode.acc_seg: 91.7733, loss: 0.2012 +2023-03-04 02:38:46,550 - mmseg - INFO - Iter [21200/160000] lr: 7.500e-05, eta: 9:05:39, time: 0.196, data_time: 0.007, memory: 52540, decode.loss_ce: 0.2069, decode.acc_seg: 91.6115, loss: 0.2069 +2023-03-04 02:38:56,189 - mmseg - INFO - Iter [21250/160000] lr: 7.500e-05, eta: 9:05:13, time: 0.193, data_time: 0.007, memory: 52540, decode.loss_ce: 0.2090, decode.acc_seg: 91.5133, loss: 0.2090 +2023-03-04 02:39:05,815 - mmseg - INFO - Iter [21300/160000] lr: 7.500e-05, eta: 9:04:47, time: 0.193, data_time: 0.007, memory: 52540, decode.loss_ce: 0.2031, decode.acc_seg: 91.7896, loss: 0.2031 +2023-03-04 02:39:15,249 - mmseg - INFO - Iter [21350/160000] lr: 7.500e-05, eta: 9:04:20, time: 0.189, data_time: 0.006, memory: 52540, decode.loss_ce: 0.2015, decode.acc_seg: 91.5863, loss: 0.2015 +2023-03-04 02:39:24,858 - mmseg - INFO - Iter [21400/160000] lr: 7.500e-05, eta: 9:03:55, time: 0.192, data_time: 0.006, memory: 52540, decode.loss_ce: 0.2029, decode.acc_seg: 91.9003, loss: 0.2029 +2023-03-04 02:39:34,445 - mmseg - INFO - Iter [21450/160000] lr: 7.500e-05, eta: 9:03:29, time: 0.192, data_time: 0.006, memory: 52540, decode.loss_ce: 0.2015, decode.acc_seg: 91.8065, loss: 0.2015 +2023-03-04 02:39:46,710 - mmseg - INFO - Iter [21500/160000] lr: 7.500e-05, eta: 9:03:20, time: 0.245, data_time: 0.053, memory: 52540, decode.loss_ce: 0.1963, decode.acc_seg: 91.9671, loss: 0.1963 +2023-03-04 02:39:56,278 - mmseg - INFO - Iter [21550/160000] lr: 7.500e-05, eta: 9:02:54, time: 0.191, data_time: 0.007, memory: 52540, decode.loss_ce: 0.2058, decode.acc_seg: 91.6555, loss: 0.2058 +2023-03-04 02:40:05,918 - mmseg - INFO - Iter [21600/160000] lr: 7.500e-05, eta: 9:02:29, time: 0.193, data_time: 0.007, memory: 52540, decode.loss_ce: 0.2034, decode.acc_seg: 91.7306, loss: 0.2034 +2023-03-04 02:40:15,497 - mmseg - INFO - Iter [21650/160000] lr: 7.500e-05, eta: 9:02:03, time: 0.192, data_time: 0.006, memory: 52540, decode.loss_ce: 0.2055, decode.acc_seg: 91.5371, loss: 0.2055 +2023-03-04 02:40:25,064 - mmseg - INFO - Iter [21700/160000] lr: 7.500e-05, eta: 9:01:37, time: 0.191, data_time: 0.006, memory: 52540, decode.loss_ce: 0.2053, decode.acc_seg: 91.6079, loss: 0.2053 +2023-03-04 02:40:34,730 - mmseg - INFO - Iter [21750/160000] lr: 7.500e-05, eta: 9:01:12, time: 0.193, data_time: 0.006, memory: 52540, decode.loss_ce: 0.2127, decode.acc_seg: 91.4115, loss: 0.2127 +2023-03-04 02:40:44,370 - mmseg - INFO - Iter [21800/160000] lr: 7.500e-05, eta: 9:00:47, time: 0.193, data_time: 0.007, memory: 52540, decode.loss_ce: 0.2016, decode.acc_seg: 91.7968, loss: 0.2016 +2023-03-04 02:40:54,062 - mmseg - INFO - Iter [21850/160000] lr: 7.500e-05, eta: 9:00:23, time: 0.194, data_time: 0.007, memory: 52540, decode.loss_ce: 0.2023, decode.acc_seg: 91.6992, loss: 0.2023 +2023-03-04 02:41:03,873 - mmseg - INFO - Iter [21900/160000] lr: 7.500e-05, eta: 8:59:59, time: 0.196, data_time: 0.007, memory: 52540, decode.loss_ce: 0.2026, decode.acc_seg: 91.7614, loss: 0.2026 +2023-03-04 02:41:13,516 - mmseg - INFO - Iter [21950/160000] lr: 7.500e-05, eta: 8:59:34, time: 0.193, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1897, decode.acc_seg: 92.1305, loss: 0.1897 +2023-03-04 02:41:23,133 - mmseg - INFO - Exp name: ablation_segformer_mit_b2_segformer_head_unet_fc_small_multi_step_ade_single_stage.py +2023-03-04 02:41:23,134 - mmseg - INFO - Iter [22000/160000] lr: 7.500e-05, eta: 8:59:09, time: 0.192, data_time: 0.007, memory: 52540, decode.loss_ce: 0.2014, decode.acc_seg: 91.6884, loss: 0.2014 +2023-03-04 02:41:32,882 - mmseg - INFO - Iter [22050/160000] lr: 7.500e-05, eta: 8:58:45, time: 0.195, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1972, decode.acc_seg: 91.9734, loss: 0.1972 +2023-03-04 02:41:45,092 - mmseg - INFO - Iter [22100/160000] lr: 7.500e-05, eta: 8:58:36, time: 0.244, data_time: 0.058, memory: 52540, decode.loss_ce: 0.2092, decode.acc_seg: 91.5846, loss: 0.2092 +2023-03-04 02:41:54,684 - mmseg - INFO - Iter [22150/160000] lr: 7.500e-05, eta: 8:58:11, time: 0.192, data_time: 0.006, memory: 52540, decode.loss_ce: 0.1931, decode.acc_seg: 92.0669, loss: 0.1931 +2023-03-04 02:42:04,276 - mmseg - INFO - Iter [22200/160000] lr: 7.500e-05, eta: 8:57:46, time: 0.192, data_time: 0.006, memory: 52540, decode.loss_ce: 0.1958, decode.acc_seg: 91.9769, loss: 0.1958 +2023-03-04 02:42:13,936 - mmseg - INFO - Iter [22250/160000] lr: 7.500e-05, eta: 8:57:22, time: 0.193, data_time: 0.006, memory: 52540, decode.loss_ce: 0.1974, decode.acc_seg: 91.9233, loss: 0.1974 +2023-03-04 02:42:23,485 - mmseg - INFO - Iter [22300/160000] lr: 7.500e-05, eta: 8:56:57, time: 0.191, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1970, decode.acc_seg: 91.8522, loss: 0.1970 +2023-03-04 02:42:33,132 - mmseg - INFO - Iter [22350/160000] lr: 7.500e-05, eta: 8:56:33, time: 0.193, data_time: 0.006, memory: 52540, decode.loss_ce: 0.2043, decode.acc_seg: 91.7322, loss: 0.2043 +2023-03-04 02:42:42,584 - mmseg - INFO - Iter [22400/160000] lr: 7.500e-05, eta: 8:56:07, time: 0.189, data_time: 0.006, memory: 52540, decode.loss_ce: 0.1950, decode.acc_seg: 91.8739, loss: 0.1950 +2023-03-04 02:42:52,094 - mmseg - INFO - Iter [22450/160000] lr: 7.500e-05, eta: 8:55:42, time: 0.190, data_time: 0.007, memory: 52540, decode.loss_ce: 0.2064, decode.acc_seg: 91.7001, loss: 0.2064 +2023-03-04 02:43:02,041 - mmseg - INFO - Iter [22500/160000] lr: 7.500e-05, eta: 8:55:20, time: 0.199, data_time: 0.006, memory: 52540, decode.loss_ce: 0.1968, decode.acc_seg: 91.6740, loss: 0.1968 +2023-03-04 02:43:11,471 - mmseg - INFO - Iter [22550/160000] lr: 7.500e-05, eta: 8:54:55, time: 0.189, data_time: 0.006, memory: 52540, decode.loss_ce: 0.2052, decode.acc_seg: 91.6185, loss: 0.2052 +2023-03-04 02:43:21,068 - mmseg - INFO - Iter [22600/160000] lr: 7.500e-05, eta: 8:54:30, time: 0.192, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1999, decode.acc_seg: 91.7568, loss: 0.1999 +2023-03-04 02:43:30,750 - mmseg - INFO - Iter [22650/160000] lr: 7.500e-05, eta: 8:54:06, time: 0.194, data_time: 0.006, memory: 52540, decode.loss_ce: 0.2008, decode.acc_seg: 91.8526, loss: 0.2008 +2023-03-04 02:43:40,439 - mmseg - INFO - Iter [22700/160000] lr: 7.500e-05, eta: 8:53:43, time: 0.194, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1976, decode.acc_seg: 91.8120, loss: 0.1976 +2023-03-04 02:43:52,638 - mmseg - INFO - Iter [22750/160000] lr: 7.500e-05, eta: 8:53:34, time: 0.244, data_time: 0.056, memory: 52540, decode.loss_ce: 0.1953, decode.acc_seg: 91.8604, loss: 0.1953 +2023-03-04 02:44:02,214 - mmseg - INFO - Iter [22800/160000] lr: 7.500e-05, eta: 8:53:10, time: 0.191, data_time: 0.006, memory: 52540, decode.loss_ce: 0.2049, decode.acc_seg: 91.6396, loss: 0.2049 +2023-03-04 02:44:11,711 - mmseg - INFO - Iter [22850/160000] lr: 7.500e-05, eta: 8:52:46, time: 0.190, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1932, decode.acc_seg: 92.0839, loss: 0.1932 +2023-03-04 02:44:21,238 - mmseg - INFO - Iter [22900/160000] lr: 7.500e-05, eta: 8:52:21, time: 0.191, data_time: 0.006, memory: 52540, decode.loss_ce: 0.2058, decode.acc_seg: 91.5893, loss: 0.2058 +2023-03-04 02:44:30,819 - mmseg - INFO - Iter [22950/160000] lr: 7.500e-05, eta: 8:51:57, time: 0.192, data_time: 0.006, memory: 52540, decode.loss_ce: 0.1996, decode.acc_seg: 91.8387, loss: 0.1996 +2023-03-04 02:44:40,467 - mmseg - INFO - Exp name: ablation_segformer_mit_b2_segformer_head_unet_fc_small_multi_step_ade_single_stage.py +2023-03-04 02:44:40,467 - mmseg - INFO - Iter [23000/160000] lr: 7.500e-05, eta: 8:51:34, time: 0.193, data_time: 0.007, memory: 52540, decode.loss_ce: 0.2098, decode.acc_seg: 91.4066, loss: 0.2098 +2023-03-04 02:44:49,932 - mmseg - INFO - Iter [23050/160000] lr: 7.500e-05, eta: 8:51:09, time: 0.189, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1960, decode.acc_seg: 91.9866, loss: 0.1960 +2023-03-04 02:44:59,768 - mmseg - INFO - Iter [23100/160000] lr: 7.500e-05, eta: 8:50:47, time: 0.196, data_time: 0.006, memory: 52540, decode.loss_ce: 0.1955, decode.acc_seg: 91.7972, loss: 0.1955 +2023-03-04 02:45:09,520 - mmseg - INFO - Iter [23150/160000] lr: 7.500e-05, eta: 8:50:24, time: 0.195, data_time: 0.007, memory: 52540, decode.loss_ce: 0.2067, decode.acc_seg: 91.6730, loss: 0.2067 +2023-03-04 02:45:19,225 - mmseg - INFO - Iter [23200/160000] lr: 7.500e-05, eta: 8:50:01, time: 0.194, data_time: 0.007, memory: 52540, decode.loss_ce: 0.2081, decode.acc_seg: 91.6462, loss: 0.2081 +2023-03-04 02:45:29,185 - mmseg - INFO - Iter [23250/160000] lr: 7.500e-05, eta: 8:49:40, time: 0.199, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1996, decode.acc_seg: 91.8530, loss: 0.1996 +2023-03-04 02:45:38,885 - mmseg - INFO - Iter [23300/160000] lr: 7.500e-05, eta: 8:49:17, time: 0.194, data_time: 0.006, memory: 52540, decode.loss_ce: 0.2042, decode.acc_seg: 91.6416, loss: 0.2042 +2023-03-04 02:45:51,039 - mmseg - INFO - Iter [23350/160000] lr: 7.500e-05, eta: 8:49:08, time: 0.243, data_time: 0.055, memory: 52540, decode.loss_ce: 0.2052, decode.acc_seg: 91.6003, loss: 0.2052 +2023-03-04 02:46:00,738 - mmseg - INFO - Iter [23400/160000] lr: 7.500e-05, eta: 8:48:45, time: 0.194, data_time: 0.007, memory: 52540, decode.loss_ce: 0.2044, decode.acc_seg: 91.6530, loss: 0.2044 +2023-03-04 02:46:10,315 - mmseg - INFO - Iter [23450/160000] lr: 7.500e-05, eta: 8:48:22, time: 0.192, data_time: 0.006, memory: 52540, decode.loss_ce: 0.2023, decode.acc_seg: 91.6003, loss: 0.2023 +2023-03-04 02:46:19,884 - mmseg - INFO - Iter [23500/160000] lr: 7.500e-05, eta: 8:47:59, time: 0.191, data_time: 0.006, memory: 52540, decode.loss_ce: 0.1976, decode.acc_seg: 91.8725, loss: 0.1976 +2023-03-04 02:46:29,347 - mmseg - INFO - Iter [23550/160000] lr: 7.500e-05, eta: 8:47:35, time: 0.189, data_time: 0.006, memory: 52540, decode.loss_ce: 0.2030, decode.acc_seg: 91.7558, loss: 0.2030 +2023-03-04 02:46:39,101 - mmseg - INFO - Iter [23600/160000] lr: 7.500e-05, eta: 8:47:12, time: 0.195, data_time: 0.006, memory: 52540, decode.loss_ce: 0.1985, decode.acc_seg: 91.8714, loss: 0.1985 +2023-03-04 02:46:48,761 - mmseg - INFO - Iter [23650/160000] lr: 7.500e-05, eta: 8:46:50, time: 0.193, data_time: 0.006, memory: 52540, decode.loss_ce: 0.2035, decode.acc_seg: 91.8429, loss: 0.2035 +2023-03-04 02:46:58,421 - mmseg - INFO - Iter [23700/160000] lr: 7.500e-05, eta: 8:46:27, time: 0.193, data_time: 0.006, memory: 52540, decode.loss_ce: 0.1979, decode.acc_seg: 91.9550, loss: 0.1979 +2023-03-04 02:47:08,134 - mmseg - INFO - Iter [23750/160000] lr: 7.500e-05, eta: 8:46:04, time: 0.194, data_time: 0.006, memory: 52540, decode.loss_ce: 0.2102, decode.acc_seg: 91.6196, loss: 0.2102 +2023-03-04 02:47:18,141 - mmseg - INFO - Iter [23800/160000] lr: 7.500e-05, eta: 8:45:44, time: 0.200, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1998, decode.acc_seg: 91.7301, loss: 0.1998 +2023-03-04 02:47:27,756 - mmseg - INFO - Iter [23850/160000] lr: 7.500e-05, eta: 8:45:21, time: 0.192, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1995, decode.acc_seg: 91.7804, loss: 0.1995 +2023-03-04 02:47:37,557 - mmseg - INFO - Iter [23900/160000] lr: 7.500e-05, eta: 8:44:59, time: 0.196, data_time: 0.006, memory: 52540, decode.loss_ce: 0.2081, decode.acc_seg: 91.7967, loss: 0.2081 +2023-03-04 02:47:47,077 - mmseg - INFO - Iter [23950/160000] lr: 7.500e-05, eta: 8:44:36, time: 0.191, data_time: 0.007, memory: 52540, decode.loss_ce: 0.2078, decode.acc_seg: 91.4182, loss: 0.2078 +2023-03-04 02:47:59,209 - mmseg - INFO - Exp name: ablation_segformer_mit_b2_segformer_head_unet_fc_small_multi_step_ade_single_stage.py +2023-03-04 02:47:59,209 - mmseg - INFO - Iter [24000/160000] lr: 7.500e-05, eta: 8:44:28, time: 0.243, data_time: 0.053, memory: 52540, decode.loss_ce: 0.1973, decode.acc_seg: 91.9224, loss: 0.1973 +2023-03-04 02:48:08,993 - mmseg - INFO - Iter [24050/160000] lr: 7.500e-05, eta: 8:44:06, time: 0.196, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1952, decode.acc_seg: 91.9129, loss: 0.1952 +2023-03-04 02:48:18,596 - mmseg - INFO - Iter [24100/160000] lr: 7.500e-05, eta: 8:43:43, time: 0.192, data_time: 0.006, memory: 52540, decode.loss_ce: 0.1986, decode.acc_seg: 91.8979, loss: 0.1986 +2023-03-04 02:48:28,114 - mmseg - INFO - Iter [24150/160000] lr: 7.500e-05, eta: 8:43:20, time: 0.191, data_time: 0.007, memory: 52540, decode.loss_ce: 0.2071, decode.acc_seg: 91.4067, loss: 0.2071 +2023-03-04 02:48:37,671 - mmseg - INFO - Iter [24200/160000] lr: 7.500e-05, eta: 8:42:58, time: 0.191, data_time: 0.006, memory: 52540, decode.loss_ce: 0.2034, decode.acc_seg: 91.7198, loss: 0.2034 +2023-03-04 02:48:47,491 - mmseg - INFO - Iter [24250/160000] lr: 7.500e-05, eta: 8:42:36, time: 0.196, data_time: 0.007, memory: 52540, decode.loss_ce: 0.2057, decode.acc_seg: 91.8426, loss: 0.2057 +2023-03-04 02:48:57,095 - mmseg - INFO - Iter [24300/160000] lr: 7.500e-05, eta: 8:42:14, time: 0.192, data_time: 0.007, memory: 52540, decode.loss_ce: 0.2050, decode.acc_seg: 91.6479, loss: 0.2050 +2023-03-04 02:49:06,617 - mmseg - INFO - Iter [24350/160000] lr: 7.500e-05, eta: 8:41:51, time: 0.190, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1992, decode.acc_seg: 91.8239, loss: 0.1992 +2023-03-04 02:49:16,240 - mmseg - INFO - Iter [24400/160000] lr: 7.500e-05, eta: 8:41:29, time: 0.192, data_time: 0.006, memory: 52540, decode.loss_ce: 0.2078, decode.acc_seg: 91.5272, loss: 0.2078 +2023-03-04 02:49:25,926 - mmseg - INFO - Iter [24450/160000] lr: 7.500e-05, eta: 8:41:07, time: 0.193, data_time: 0.007, memory: 52540, decode.loss_ce: 0.2030, decode.acc_seg: 91.6390, loss: 0.2030 +2023-03-04 02:49:35,804 - mmseg - INFO - Iter [24500/160000] lr: 7.500e-05, eta: 8:40:46, time: 0.198, data_time: 0.007, memory: 52540, decode.loss_ce: 0.2063, decode.acc_seg: 91.5434, loss: 0.2063 +2023-03-04 02:49:45,737 - mmseg - INFO - Iter [24550/160000] lr: 7.500e-05, eta: 8:40:26, time: 0.199, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1991, decode.acc_seg: 91.6701, loss: 0.1991 +2023-03-04 02:49:55,465 - mmseg - INFO - Iter [24600/160000] lr: 7.500e-05, eta: 8:40:05, time: 0.194, data_time: 0.006, memory: 52540, decode.loss_ce: 0.2009, decode.acc_seg: 91.8060, loss: 0.2009 +2023-03-04 02:50:07,563 - mmseg - INFO - Iter [24650/160000] lr: 7.500e-05, eta: 8:39:56, time: 0.242, data_time: 0.056, memory: 52540, decode.loss_ce: 0.2035, decode.acc_seg: 91.6354, loss: 0.2035 +2023-03-04 02:50:17,131 - mmseg - INFO - Iter [24700/160000] lr: 7.500e-05, eta: 8:39:34, time: 0.191, data_time: 0.006, memory: 52540, decode.loss_ce: 0.1943, decode.acc_seg: 91.9448, loss: 0.1943 +2023-03-04 02:50:27,154 - mmseg - INFO - Iter [24750/160000] lr: 7.500e-05, eta: 8:39:14, time: 0.200, data_time: 0.006, memory: 52540, decode.loss_ce: 0.1931, decode.acc_seg: 92.0072, loss: 0.1931 +2023-03-04 02:50:36,930 - mmseg - INFO - Iter [24800/160000] lr: 7.500e-05, eta: 8:38:53, time: 0.196, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1963, decode.acc_seg: 91.8221, loss: 0.1963 +2023-03-04 02:50:46,640 - mmseg - INFO - Iter [24850/160000] lr: 7.500e-05, eta: 8:38:32, time: 0.194, data_time: 0.006, memory: 52540, decode.loss_ce: 0.2096, decode.acc_seg: 91.4657, loss: 0.2096 +2023-03-04 02:50:56,082 - mmseg - INFO - Iter [24900/160000] lr: 7.500e-05, eta: 8:38:09, time: 0.189, data_time: 0.006, memory: 52540, decode.loss_ce: 0.1977, decode.acc_seg: 91.8989, loss: 0.1977 +2023-03-04 02:51:05,843 - mmseg - INFO - Iter [24950/160000] lr: 7.500e-05, eta: 8:37:48, time: 0.195, data_time: 0.006, memory: 52540, decode.loss_ce: 0.2045, decode.acc_seg: 91.7264, loss: 0.2045 +2023-03-04 02:51:15,490 - mmseg - INFO - Exp name: ablation_segformer_mit_b2_segformer_head_unet_fc_small_multi_step_ade_single_stage.py +2023-03-04 02:51:15,491 - mmseg - INFO - Iter [25000/160000] lr: 7.500e-05, eta: 8:37:27, time: 0.193, data_time: 0.007, memory: 52540, decode.loss_ce: 0.2025, decode.acc_seg: 91.7251, loss: 0.2025 +2023-03-04 02:51:24,939 - mmseg - INFO - Iter [25050/160000] lr: 7.500e-05, eta: 8:37:04, time: 0.189, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1949, decode.acc_seg: 91.9963, loss: 0.1949 +2023-03-04 02:51:34,463 - mmseg - INFO - Iter [25100/160000] lr: 7.500e-05, eta: 8:36:42, time: 0.190, data_time: 0.006, memory: 52540, decode.loss_ce: 0.2038, decode.acc_seg: 91.7279, loss: 0.2038 +2023-03-04 02:51:44,050 - mmseg - INFO - Iter [25150/160000] lr: 7.500e-05, eta: 8:36:20, time: 0.192, data_time: 0.007, memory: 52540, decode.loss_ce: 0.2028, decode.acc_seg: 91.7419, loss: 0.2028 +2023-03-04 02:51:53,640 - mmseg - INFO - Iter [25200/160000] lr: 7.500e-05, eta: 8:35:59, time: 0.192, data_time: 0.006, memory: 52540, decode.loss_ce: 0.1967, decode.acc_seg: 91.9184, loss: 0.1967 +2023-03-04 02:52:05,692 - mmseg - INFO - Iter [25250/160000] lr: 7.500e-05, eta: 8:35:50, time: 0.241, data_time: 0.053, memory: 52540, decode.loss_ce: 0.2056, decode.acc_seg: 91.6069, loss: 0.2056 +2023-03-04 02:52:15,257 - mmseg - INFO - Iter [25300/160000] lr: 7.500e-05, eta: 8:35:29, time: 0.191, data_time: 0.007, memory: 52540, decode.loss_ce: 0.2009, decode.acc_seg: 91.9581, loss: 0.2009 +2023-03-04 02:52:25,103 - mmseg - INFO - Iter [25350/160000] lr: 7.500e-05, eta: 8:35:09, time: 0.197, data_time: 0.006, memory: 52540, decode.loss_ce: 0.2134, decode.acc_seg: 91.4513, loss: 0.2134 +2023-03-04 02:52:35,027 - mmseg - INFO - Iter [25400/160000] lr: 7.500e-05, eta: 8:34:49, time: 0.198, data_time: 0.006, memory: 52540, decode.loss_ce: 0.2009, decode.acc_seg: 91.7089, loss: 0.2009 +2023-03-04 02:52:44,559 - mmseg - INFO - Iter [25450/160000] lr: 7.500e-05, eta: 8:34:27, time: 0.191, data_time: 0.007, memory: 52540, decode.loss_ce: 0.2008, decode.acc_seg: 91.6973, loss: 0.2008 +2023-03-04 02:52:54,356 - mmseg - INFO - Iter [25500/160000] lr: 7.500e-05, eta: 8:34:07, time: 0.196, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1969, decode.acc_seg: 91.8081, loss: 0.1969 +2023-03-04 02:53:03,815 - mmseg - INFO - Iter [25550/160000] lr: 7.500e-05, eta: 8:33:45, time: 0.189, data_time: 0.006, memory: 52540, decode.loss_ce: 0.2026, decode.acc_seg: 91.6773, loss: 0.2026 +2023-03-04 02:53:13,335 - mmseg - INFO - Iter [25600/160000] lr: 7.500e-05, eta: 8:33:23, time: 0.190, data_time: 0.007, memory: 52540, decode.loss_ce: 0.2033, decode.acc_seg: 91.6545, loss: 0.2033 +2023-03-04 02:53:22,947 - mmseg - INFO - Iter [25650/160000] lr: 7.500e-05, eta: 8:33:02, time: 0.192, data_time: 0.007, memory: 52540, decode.loss_ce: 0.2028, decode.acc_seg: 91.6127, loss: 0.2028 +2023-03-04 02:53:32,599 - mmseg - INFO - Iter [25700/160000] lr: 7.500e-05, eta: 8:32:41, time: 0.193, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1958, decode.acc_seg: 91.9027, loss: 0.1958 +2023-03-04 02:53:42,108 - mmseg - INFO - Iter [25750/160000] lr: 7.500e-05, eta: 8:32:19, time: 0.190, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1995, decode.acc_seg: 91.8948, loss: 0.1995 +2023-03-04 02:53:51,719 - mmseg - INFO - Iter [25800/160000] lr: 7.500e-05, eta: 8:31:58, time: 0.192, data_time: 0.006, memory: 52540, decode.loss_ce: 0.1983, decode.acc_seg: 91.9439, loss: 0.1983 +2023-03-04 02:54:01,476 - mmseg - INFO - Iter [25850/160000] lr: 7.500e-05, eta: 8:31:38, time: 0.195, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1932, decode.acc_seg: 91.9115, loss: 0.1932 +2023-03-04 02:54:13,697 - mmseg - INFO - Iter [25900/160000] lr: 7.500e-05, eta: 8:31:31, time: 0.244, data_time: 0.054, memory: 52540, decode.loss_ce: 0.1933, decode.acc_seg: 92.1342, loss: 0.1933 +2023-03-04 02:54:23,200 - mmseg - INFO - Iter [25950/160000] lr: 7.500e-05, eta: 8:31:09, time: 0.190, data_time: 0.006, memory: 52540, decode.loss_ce: 0.2035, decode.acc_seg: 91.7450, loss: 0.2035 +2023-03-04 02:54:32,652 - mmseg - INFO - Exp name: ablation_segformer_mit_b2_segformer_head_unet_fc_small_multi_step_ade_single_stage.py +2023-03-04 02:54:32,653 - mmseg - INFO - Iter [26000/160000] lr: 7.500e-05, eta: 8:30:48, time: 0.189, data_time: 0.006, memory: 52540, decode.loss_ce: 0.1997, decode.acc_seg: 91.9261, loss: 0.1997 +2023-03-04 02:54:42,119 - mmseg - INFO - Iter [26050/160000] lr: 7.500e-05, eta: 8:30:26, time: 0.189, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1966, decode.acc_seg: 92.0041, loss: 0.1966 +2023-03-04 02:54:51,892 - mmseg - INFO - Iter [26100/160000] lr: 7.500e-05, eta: 8:30:06, time: 0.195, data_time: 0.006, memory: 52540, decode.loss_ce: 0.2038, decode.acc_seg: 91.6370, loss: 0.2038 +2023-03-04 02:55:01,528 - mmseg - INFO - Iter [26150/160000] lr: 7.500e-05, eta: 8:29:46, time: 0.193, data_time: 0.006, memory: 52540, decode.loss_ce: 0.1966, decode.acc_seg: 91.8640, loss: 0.1966 +2023-03-04 02:55:11,191 - mmseg - INFO - Iter [26200/160000] lr: 7.500e-05, eta: 8:29:25, time: 0.193, data_time: 0.006, memory: 52540, decode.loss_ce: 0.2042, decode.acc_seg: 91.6503, loss: 0.2042 +2023-03-04 02:55:21,062 - mmseg - INFO - Iter [26250/160000] lr: 7.500e-05, eta: 8:29:06, time: 0.197, data_time: 0.007, memory: 52540, decode.loss_ce: 0.2095, decode.acc_seg: 91.5556, loss: 0.2095 +2023-03-04 02:55:30,656 - mmseg 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INFO - Iter [26550/160000] lr: 7.500e-05, eta: 8:27:15, time: 0.246, data_time: 0.055, memory: 52540, decode.loss_ce: 0.1926, decode.acc_seg: 91.9611, loss: 0.1926 +2023-03-04 02:56:30,745 - mmseg - INFO - Iter [26600/160000] lr: 7.500e-05, eta: 8:26:54, time: 0.190, data_time: 0.006, memory: 52540, decode.loss_ce: 0.2030, decode.acc_seg: 91.7561, loss: 0.2030 +2023-03-04 02:56:40,281 - mmseg - INFO - Iter [26650/160000] lr: 7.500e-05, eta: 8:26:34, time: 0.191, data_time: 0.006, memory: 52540, decode.loss_ce: 0.2057, decode.acc_seg: 91.5842, loss: 0.2057 +2023-03-04 02:56:50,030 - mmseg - INFO - Iter [26700/160000] lr: 7.500e-05, eta: 8:26:14, time: 0.195, data_time: 0.007, memory: 52540, decode.loss_ce: 0.2055, decode.acc_seg: 91.5241, loss: 0.2055 +2023-03-04 02:56:59,530 - mmseg - INFO - Iter [26750/160000] lr: 7.500e-05, eta: 8:25:53, time: 0.190, data_time: 0.007, memory: 52540, decode.loss_ce: 0.2016, decode.acc_seg: 91.7136, loss: 0.2016 +2023-03-04 02:57:09,287 - mmseg - INFO 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data_time: 0.007, memory: 52540, decode.loss_ce: 0.1994, decode.acc_seg: 91.8984, loss: 0.1994 +2023-03-04 02:57:57,239 - mmseg - INFO - Iter [27050/160000] lr: 7.500e-05, eta: 8:23:53, time: 0.193, data_time: 0.007, memory: 52540, decode.loss_ce: 0.2001, decode.acc_seg: 91.7367, loss: 0.2001 +2023-03-04 02:58:06,818 - mmseg - INFO - Iter [27100/160000] lr: 7.500e-05, eta: 8:23:33, time: 0.192, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1999, decode.acc_seg: 91.7647, loss: 0.1999 +2023-03-04 02:58:18,921 - mmseg - INFO - Iter [27150/160000] lr: 7.500e-05, eta: 8:23:25, time: 0.242, data_time: 0.054, memory: 52540, decode.loss_ce: 0.2105, decode.acc_seg: 91.5595, loss: 0.2105 +2023-03-04 02:58:28,618 - mmseg - INFO - Iter [27200/160000] lr: 7.500e-05, eta: 8:23:05, time: 0.194, data_time: 0.006, memory: 52540, decode.loss_ce: 0.2038, decode.acc_seg: 91.5837, loss: 0.2038 +2023-03-04 02:58:38,192 - mmseg - INFO - Iter [27250/160000] lr: 7.500e-05, eta: 8:22:45, time: 0.191, data_time: 0.006, memory: 52540, decode.loss_ce: 0.2030, decode.acc_seg: 91.5261, loss: 0.2030 +2023-03-04 02:58:47,799 - mmseg - INFO - Iter [27300/160000] lr: 7.500e-05, eta: 8:22:25, time: 0.192, data_time: 0.007, memory: 52540, decode.loss_ce: 0.2051, decode.acc_seg: 91.7773, loss: 0.2051 +2023-03-04 02:58:57,345 - mmseg - INFO - Iter [27350/160000] lr: 7.500e-05, eta: 8:22:05, time: 0.191, data_time: 0.006, memory: 52540, decode.loss_ce: 0.1996, decode.acc_seg: 91.7401, loss: 0.1996 +2023-03-04 02:59:06,916 - mmseg - INFO - Iter [27400/160000] lr: 7.500e-05, eta: 8:21:45, time: 0.191, data_time: 0.006, memory: 52540, decode.loss_ce: 0.1981, decode.acc_seg: 91.8953, loss: 0.1981 +2023-03-04 02:59:16,379 - mmseg - INFO - Iter [27450/160000] lr: 7.500e-05, eta: 8:21:25, time: 0.189, data_time: 0.006, memory: 52540, decode.loss_ce: 0.2052, decode.acc_seg: 91.5082, loss: 0.2052 +2023-03-04 02:59:25,907 - mmseg - INFO - Iter [27500/160000] lr: 7.500e-05, eta: 8:21:04, time: 0.191, data_time: 0.007, memory: 52540, decode.loss_ce: 0.2007, decode.acc_seg: 91.8710, loss: 0.2007 +2023-03-04 02:59:35,422 - mmseg - INFO - Iter [27550/160000] lr: 7.500e-05, eta: 8:20:44, time: 0.190, data_time: 0.006, memory: 52540, decode.loss_ce: 0.2016, decode.acc_seg: 91.7769, loss: 0.2016 +2023-03-04 02:59:44,959 - mmseg - INFO - Iter [27600/160000] lr: 7.500e-05, eta: 8:20:24, time: 0.191, data_time: 0.007, memory: 52540, decode.loss_ce: 0.2030, decode.acc_seg: 91.5463, loss: 0.2030 +2023-03-04 02:59:54,915 - mmseg - INFO - Iter [27650/160000] lr: 7.500e-05, eta: 8:20:06, time: 0.199, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1928, decode.acc_seg: 91.9715, loss: 0.1928 +2023-03-04 03:00:04,610 - mmseg - INFO - Iter [27700/160000] lr: 7.500e-05, eta: 8:19:47, time: 0.194, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1999, decode.acc_seg: 91.7850, loss: 0.1999 +2023-03-04 03:00:14,288 - mmseg - INFO - Iter [27750/160000] lr: 7.500e-05, eta: 8:19:28, time: 0.194, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1937, decode.acc_seg: 91.9874, loss: 0.1937 +2023-03-04 03:00:26,397 - mmseg - INFO - Iter [27800/160000] lr: 7.500e-05, eta: 8:19:20, time: 0.242, data_time: 0.053, memory: 52540, decode.loss_ce: 0.2070, decode.acc_seg: 91.5699, loss: 0.2070 +2023-03-04 03:00:36,107 - mmseg - INFO - Iter [27850/160000] lr: 7.500e-05, eta: 8:19:01, time: 0.194, data_time: 0.006, memory: 52540, decode.loss_ce: 0.1968, decode.acc_seg: 91.9747, loss: 0.1968 +2023-03-04 03:00:45,806 - mmseg - INFO - Iter [27900/160000] lr: 7.500e-05, eta: 8:18:42, time: 0.194, data_time: 0.006, memory: 52540, decode.loss_ce: 0.2040, decode.acc_seg: 91.6688, loss: 0.2040 +2023-03-04 03:00:55,691 - mmseg - INFO - Iter [27950/160000] lr: 7.500e-05, eta: 8:18:24, time: 0.198, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1945, decode.acc_seg: 92.0673, loss: 0.1945 +2023-03-04 03:01:05,367 - mmseg - INFO - Exp name: ablation_segformer_mit_b2_segformer_head_unet_fc_small_multi_step_ade_single_stage.py +2023-03-04 03:01:05,367 - mmseg - INFO - Iter [28000/160000] lr: 7.500e-05, eta: 8:18:05, time: 0.194, data_time: 0.007, memory: 52540, decode.loss_ce: 0.2056, decode.acc_seg: 91.6289, loss: 0.2056 +2023-03-04 03:01:14,880 - mmseg - INFO - Iter [28050/160000] lr: 7.500e-05, eta: 8:17:45, time: 0.190, data_time: 0.006, memory: 52540, decode.loss_ce: 0.2019, decode.acc_seg: 91.6326, loss: 0.2019 +2023-03-04 03:01:24,477 - mmseg - INFO - Iter [28100/160000] lr: 7.500e-05, eta: 8:17:26, time: 0.192, data_time: 0.007, memory: 52540, decode.loss_ce: 0.2022, decode.acc_seg: 91.8102, loss: 0.2022 +2023-03-04 03:01:34,122 - mmseg - INFO - Iter [28150/160000] lr: 7.500e-05, eta: 8:17:07, time: 0.193, data_time: 0.006, memory: 52540, decode.loss_ce: 0.1950, decode.acc_seg: 91.7375, loss: 0.1950 +2023-03-04 03:01:43,813 - mmseg - INFO - Iter [28200/160000] lr: 7.500e-05, eta: 8:16:48, time: 0.194, data_time: 0.006, memory: 52540, decode.loss_ce: 0.1946, decode.acc_seg: 92.0016, loss: 0.1946 +2023-03-04 03:01:53,809 - mmseg - INFO - Iter [28250/160000] lr: 7.500e-05, eta: 8:16:30, time: 0.200, data_time: 0.006, memory: 52540, decode.loss_ce: 0.2026, decode.acc_seg: 91.6584, loss: 0.2026 +2023-03-04 03:02:03,279 - mmseg - INFO - Iter [28300/160000] lr: 7.500e-05, eta: 8:16:11, time: 0.189, data_time: 0.006, memory: 52540, decode.loss_ce: 0.1964, decode.acc_seg: 91.8329, loss: 0.1964 +2023-03-04 03:02:12,913 - mmseg - INFO - Iter [28350/160000] lr: 7.500e-05, eta: 8:15:51, time: 0.193, data_time: 0.007, memory: 52540, decode.loss_ce: 0.2057, decode.acc_seg: 91.6538, loss: 0.2057 +2023-03-04 03:02:24,885 - mmseg - INFO - Iter [28400/160000] lr: 7.500e-05, eta: 8:15:43, time: 0.239, data_time: 0.055, memory: 52540, decode.loss_ce: 0.2053, decode.acc_seg: 91.4524, loss: 0.2053 +2023-03-04 03:02:34,592 - mmseg - INFO - Iter [28450/160000] lr: 7.500e-05, eta: 8:15:25, time: 0.194, data_time: 0.006, memory: 52540, decode.loss_ce: 0.2069, decode.acc_seg: 91.4840, loss: 0.2069 +2023-03-04 03:02:44,075 - mmseg - INFO - Iter [28500/160000] lr: 7.500e-05, eta: 8:15:05, time: 0.190, data_time: 0.006, memory: 52540, decode.loss_ce: 0.2015, decode.acc_seg: 91.7295, loss: 0.2015 +2023-03-04 03:02:53,505 - mmseg - INFO - Iter [28550/160000] lr: 7.500e-05, eta: 8:14:45, time: 0.189, data_time: 0.006, memory: 52540, decode.loss_ce: 0.1928, decode.acc_seg: 92.0116, loss: 0.1928 +2023-03-04 03:03:03,153 - mmseg - INFO - Iter [28600/160000] lr: 7.500e-05, eta: 8:14:26, time: 0.193, data_time: 0.007, memory: 52540, decode.loss_ce: 0.2015, decode.acc_seg: 91.8503, loss: 0.2015 +2023-03-04 03:03:12,637 - mmseg - INFO - Iter [28650/160000] lr: 7.500e-05, eta: 8:14:07, time: 0.190, data_time: 0.007, memory: 52540, decode.loss_ce: 0.2005, decode.acc_seg: 91.7522, loss: 0.2005 +2023-03-04 03:03:22,092 - mmseg - INFO - Iter [28700/160000] lr: 7.500e-05, eta: 8:13:47, time: 0.189, data_time: 0.007, memory: 52540, decode.loss_ce: 0.2068, decode.acc_seg: 91.5413, loss: 0.2068 +2023-03-04 03:03:31,880 - mmseg - INFO - Iter [28750/160000] lr: 7.500e-05, eta: 8:13:29, time: 0.196, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1984, decode.acc_seg: 91.8780, loss: 0.1984 +2023-03-04 03:03:41,658 - mmseg - INFO - Iter [28800/160000] lr: 7.500e-05, eta: 8:13:11, time: 0.195, data_time: 0.006, memory: 52540, decode.loss_ce: 0.1988, decode.acc_seg: 91.7977, loss: 0.1988 +2023-03-04 03:03:51,427 - mmseg - INFO - Iter [28850/160000] lr: 7.500e-05, eta: 8:12:53, time: 0.196, data_time: 0.007, memory: 52540, decode.loss_ce: 0.2042, decode.acc_seg: 91.6860, loss: 0.2042 +2023-03-04 03:04:01,144 - mmseg - INFO - Iter [28900/160000] lr: 7.500e-05, eta: 8:12:34, time: 0.194, data_time: 0.006, memory: 52540, decode.loss_ce: 0.1956, decode.acc_seg: 91.9911, loss: 0.1956 +2023-03-04 03:04:10,820 - mmseg - INFO - Iter [28950/160000] lr: 7.500e-05, eta: 8:12:16, time: 0.194, data_time: 0.006, memory: 52540, decode.loss_ce: 0.2009, decode.acc_seg: 91.8604, loss: 0.2009 +2023-03-04 03:04:20,292 - mmseg - INFO - Exp name: ablation_segformer_mit_b2_segformer_head_unet_fc_small_multi_step_ade_single_stage.py +2023-03-04 03:04:20,292 - mmseg - INFO - Iter [29000/160000] lr: 7.500e-05, eta: 8:11:56, time: 0.189, data_time: 0.007, memory: 52540, decode.loss_ce: 0.2096, decode.acc_seg: 91.4943, loss: 0.2096 +2023-03-04 03:04:32,410 - mmseg - INFO - Iter [29050/160000] lr: 7.500e-05, eta: 8:11:49, time: 0.242, data_time: 0.053, memory: 52540, decode.loss_ce: 0.2025, decode.acc_seg: 91.6985, loss: 0.2025 +2023-03-04 03:04:41,954 - mmseg - INFO - Iter [29100/160000] lr: 7.500e-05, eta: 8:11:30, time: 0.191, data_time: 0.006, memory: 52540, decode.loss_ce: 0.2044, decode.acc_seg: 91.8149, loss: 0.2044 +2023-03-04 03:04:51,543 - mmseg - INFO - Iter [29150/160000] lr: 7.500e-05, eta: 8:11:11, time: 0.192, data_time: 0.007, memory: 52540, decode.loss_ce: 0.2006, decode.acc_seg: 91.8280, loss: 0.2006 +2023-03-04 03:05:01,115 - mmseg - INFO - Iter [29200/160000] lr: 7.500e-05, eta: 8:10:52, time: 0.191, data_time: 0.006, memory: 52540, decode.loss_ce: 0.1951, decode.acc_seg: 91.8496, loss: 0.1951 +2023-03-04 03:05:10,649 - mmseg - INFO - Iter [29250/160000] lr: 7.500e-05, eta: 8:10:33, time: 0.191, data_time: 0.006, memory: 52540, decode.loss_ce: 0.2037, decode.acc_seg: 91.5874, loss: 0.2037 +2023-03-04 03:05:20,173 - mmseg - INFO - Iter [29300/160000] lr: 7.500e-05, eta: 8:10:14, time: 0.190, data_time: 0.007, memory: 52540, decode.loss_ce: 0.2018, decode.acc_seg: 91.6907, loss: 0.2018 +2023-03-04 03:05:29,976 - mmseg - INFO - Iter [29350/160000] lr: 7.500e-05, eta: 8:09:57, time: 0.196, data_time: 0.007, memory: 52540, decode.loss_ce: 0.2014, decode.acc_seg: 91.8561, loss: 0.2014 +2023-03-04 03:05:39,889 - mmseg - INFO - Iter [29400/160000] lr: 7.500e-05, eta: 8:09:40, time: 0.198, data_time: 0.006, memory: 52540, decode.loss_ce: 0.1964, decode.acc_seg: 92.1049, loss: 0.1964 +2023-03-04 03:05:49,454 - mmseg - INFO - Iter [29450/160000] lr: 7.500e-05, eta: 8:09:21, time: 0.191, data_time: 0.006, memory: 52540, decode.loss_ce: 0.1987, decode.acc_seg: 91.6182, loss: 0.1987 +2023-03-04 03:05:58,954 - mmseg - INFO - Iter [29500/160000] lr: 7.500e-05, eta: 8:09:02, time: 0.190, data_time: 0.006, memory: 52540, decode.loss_ce: 0.2023, decode.acc_seg: 91.5538, loss: 0.2023 +2023-03-04 03:06:08,715 - mmseg - INFO - Iter [29550/160000] lr: 7.500e-05, eta: 8:08:44, time: 0.195, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1999, decode.acc_seg: 91.7356, loss: 0.1999 +2023-03-04 03:06:18,260 - mmseg - INFO - Iter [29600/160000] lr: 7.500e-05, eta: 8:08:25, time: 0.191, data_time: 0.006, memory: 52540, decode.loss_ce: 0.1943, decode.acc_seg: 91.9729, loss: 0.1943 +2023-03-04 03:06:27,824 - mmseg - INFO - Iter [29650/160000] lr: 7.500e-05, eta: 8:08:07, time: 0.191, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1963, decode.acc_seg: 92.0024, loss: 0.1963 +2023-03-04 03:06:40,118 - mmseg - INFO - Iter [29700/160000] lr: 7.500e-05, eta: 8:08:00, time: 0.246, data_time: 0.057, memory: 52540, decode.loss_ce: 0.1988, decode.acc_seg: 91.8799, loss: 0.1988 +2023-03-04 03:06:49,743 - mmseg - INFO - Iter [29750/160000] lr: 7.500e-05, eta: 8:07:42, time: 0.193, data_time: 0.006, memory: 52540, decode.loss_ce: 0.1934, decode.acc_seg: 91.9579, loss: 0.1934 +2023-03-04 03:06:59,304 - mmseg - INFO - Iter [29800/160000] lr: 7.500e-05, eta: 8:07:23, time: 0.191, data_time: 0.007, memory: 52540, decode.loss_ce: 0.2033, decode.acc_seg: 91.7021, loss: 0.2033 +2023-03-04 03:07:08,900 - mmseg - INFO - Iter [29850/160000] lr: 7.500e-05, eta: 8:07:05, time: 0.192, data_time: 0.006, memory: 52540, decode.loss_ce: 0.2051, decode.acc_seg: 91.6387, loss: 0.2051 +2023-03-04 03:07:18,411 - mmseg - INFO - Iter [29900/160000] lr: 7.500e-05, eta: 8:06:46, time: 0.190, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1944, decode.acc_seg: 91.8785, loss: 0.1944 +2023-03-04 03:07:27,967 - mmseg - INFO - Iter [29950/160000] lr: 7.500e-05, eta: 8:06:28, time: 0.191, data_time: 0.007, memory: 52540, decode.loss_ce: 0.2007, decode.acc_seg: 91.7768, loss: 0.2007 +2023-03-04 03:07:37,571 - mmseg - INFO - Exp name: ablation_segformer_mit_b2_segformer_head_unet_fc_small_multi_step_ade_single_stage.py +2023-03-04 03:07:37,571 - mmseg - INFO - Iter [30000/160000] lr: 7.500e-05, eta: 8:06:10, time: 0.192, data_time: 0.006, memory: 52540, decode.loss_ce: 0.2027, decode.acc_seg: 91.6160, loss: 0.2027 +2023-03-04 03:07:47,287 - mmseg - INFO - Iter [30050/160000] lr: 7.500e-05, eta: 8:05:52, time: 0.194, data_time: 0.006, memory: 52540, decode.loss_ce: 0.1953, decode.acc_seg: 92.0088, loss: 0.1953 +2023-03-04 03:07:57,142 - mmseg - INFO - Iter [30100/160000] lr: 7.500e-05, eta: 8:05:35, time: 0.197, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1989, decode.acc_seg: 91.8987, loss: 0.1989 +2023-03-04 03:08:06,774 - mmseg - INFO - Iter [30150/160000] lr: 7.500e-05, eta: 8:05:17, time: 0.193, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1973, decode.acc_seg: 91.9176, loss: 0.1973 +2023-03-04 03:08:16,462 - mmseg - INFO - Iter [30200/160000] lr: 7.500e-05, eta: 8:04:59, time: 0.194, data_time: 0.006, memory: 52540, decode.loss_ce: 0.2073, decode.acc_seg: 91.6069, loss: 0.2073 +2023-03-04 03:08:26,123 - mmseg - INFO - Iter [30250/160000] lr: 7.500e-05, eta: 8:04:41, time: 0.193, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1979, decode.acc_seg: 91.8417, loss: 0.1979 +2023-03-04 03:08:38,281 - mmseg - INFO - Iter [30300/160000] lr: 7.500e-05, eta: 8:04:34, time: 0.243, data_time: 0.052, memory: 52540, decode.loss_ce: 0.2067, decode.acc_seg: 91.5191, loss: 0.2067 +2023-03-04 03:08:47,686 - mmseg - INFO - Iter [30350/160000] lr: 7.500e-05, eta: 8:04:15, time: 0.188, data_time: 0.006, memory: 52540, decode.loss_ce: 0.2005, decode.acc_seg: 91.9141, loss: 0.2005 +2023-03-04 03:08:57,393 - mmseg - INFO - Iter [30400/160000] lr: 7.500e-05, eta: 8:03:57, time: 0.194, data_time: 0.006, memory: 52540, decode.loss_ce: 0.2016, decode.acc_seg: 91.6038, loss: 0.2016 +2023-03-04 03:09:06,907 - mmseg - INFO - Iter [30450/160000] lr: 7.500e-05, eta: 8:03:39, time: 0.190, data_time: 0.006, memory: 52540, decode.loss_ce: 0.1992, decode.acc_seg: 91.7803, loss: 0.1992 +2023-03-04 03:09:16,561 - mmseg - INFO - Iter [30500/160000] lr: 7.500e-05, eta: 8:03:21, time: 0.193, data_time: 0.007, memory: 52540, decode.loss_ce: 0.2047, decode.acc_seg: 91.6295, loss: 0.2047 +2023-03-04 03:09:26,054 - mmseg - INFO - Iter [30550/160000] lr: 7.500e-05, eta: 8:03:03, time: 0.190, data_time: 0.006, memory: 52540, decode.loss_ce: 0.1971, decode.acc_seg: 91.8740, loss: 0.1971 +2023-03-04 03:09:35,725 - mmseg - INFO - Iter [30600/160000] lr: 7.500e-05, eta: 8:02:45, time: 0.193, data_time: 0.006, memory: 52540, decode.loss_ce: 0.1955, decode.acc_seg: 92.0115, loss: 0.1955 +2023-03-04 03:09:45,204 - mmseg - INFO - Iter [30650/160000] lr: 7.500e-05, eta: 8:02:27, time: 0.190, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1927, decode.acc_seg: 92.0339, loss: 0.1927 +2023-03-04 03:09:54,851 - mmseg - INFO - Iter [30700/160000] lr: 7.500e-05, eta: 8:02:09, time: 0.193, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1994, decode.acc_seg: 91.8121, loss: 0.1994 +2023-03-04 03:10:04,309 - mmseg - INFO - Iter [30750/160000] lr: 7.500e-05, eta: 8:01:51, time: 0.189, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1925, decode.acc_seg: 91.9160, loss: 0.1925 +2023-03-04 03:10:13,856 - mmseg - INFO - Iter [30800/160000] lr: 7.500e-05, eta: 8:01:33, time: 0.191, data_time: 0.007, memory: 52540, decode.loss_ce: 0.2095, decode.acc_seg: 91.5098, loss: 0.2095 +2023-03-04 03:10:23,413 - mmseg - INFO - Iter [30850/160000] lr: 7.500e-05, eta: 8:01:15, time: 0.191, data_time: 0.007, memory: 52540, decode.loss_ce: 0.2021, decode.acc_seg: 91.8172, loss: 0.2021 +2023-03-04 03:10:33,362 - mmseg - INFO - Iter [30900/160000] lr: 7.500e-05, eta: 8:00:58, time: 0.199, data_time: 0.007, memory: 52540, decode.loss_ce: 0.2044, decode.acc_seg: 91.6826, loss: 0.2044 +2023-03-04 03:10:45,447 - mmseg - INFO - Iter [30950/160000] lr: 7.500e-05, eta: 8:00:51, time: 0.242, data_time: 0.055, memory: 52540, decode.loss_ce: 0.1936, decode.acc_seg: 92.1048, loss: 0.1936 +2023-03-04 03:10:55,108 - mmseg - INFO - Exp name: ablation_segformer_mit_b2_segformer_head_unet_fc_small_multi_step_ade_single_stage.py +2023-03-04 03:10:55,108 - mmseg - INFO - Iter [31000/160000] lr: 7.500e-05, eta: 8:00:33, time: 0.193, data_time: 0.006, memory: 52540, decode.loss_ce: 0.2013, decode.acc_seg: 91.5316, loss: 0.2013 +2023-03-04 03:11:04,747 - mmseg - INFO - Iter [31050/160000] lr: 7.500e-05, eta: 8:00:16, time: 0.193, data_time: 0.006, memory: 52540, decode.loss_ce: 0.2053, decode.acc_seg: 91.6033, loss: 0.2053 +2023-03-04 03:11:14,446 - mmseg - INFO - Iter [31100/160000] lr: 7.500e-05, eta: 7:59:59, time: 0.194, data_time: 0.007, memory: 52540, decode.loss_ce: 0.2011, decode.acc_seg: 91.7922, loss: 0.2011 +2023-03-04 03:11:23,891 - mmseg - INFO - Iter [31150/160000] lr: 7.500e-05, eta: 7:59:40, time: 0.189, data_time: 0.006, memory: 52540, decode.loss_ce: 0.1910, decode.acc_seg: 92.2552, loss: 0.1910 +2023-03-04 03:11:33,461 - mmseg - INFO - Iter [31200/160000] lr: 7.500e-05, eta: 7:59:23, time: 0.191, data_time: 0.006, memory: 52540, decode.loss_ce: 0.2057, decode.acc_seg: 91.5469, loss: 0.2057 +2023-03-04 03:11:42,953 - mmseg - INFO - Iter [31250/160000] lr: 7.500e-05, eta: 7:59:04, time: 0.190, data_time: 0.006, memory: 52540, decode.loss_ce: 0.2078, decode.acc_seg: 91.5122, loss: 0.2078 +2023-03-04 03:11:52,402 - mmseg - INFO - Iter [31300/160000] lr: 7.500e-05, eta: 7:58:46, time: 0.189, data_time: 0.007, memory: 52540, decode.loss_ce: 0.2005, decode.acc_seg: 91.7424, loss: 0.2005 +2023-03-04 03:12:02,081 - mmseg - INFO - Iter [31350/160000] lr: 7.500e-05, eta: 7:58:29, time: 0.194, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1976, decode.acc_seg: 91.7769, loss: 0.1976 +2023-03-04 03:12:11,648 - mmseg - INFO - Iter [31400/160000] lr: 7.500e-05, eta: 7:58:11, time: 0.191, data_time: 0.006, memory: 52540, decode.loss_ce: 0.1960, decode.acc_seg: 91.9540, loss: 0.1960 +2023-03-04 03:12:21,231 - mmseg - INFO - Iter [31450/160000] lr: 7.500e-05, eta: 7:57:54, time: 0.192, data_time: 0.006, memory: 52540, decode.loss_ce: 0.2054, decode.acc_seg: 91.5534, loss: 0.2054 +2023-03-04 03:12:30,674 - mmseg - INFO - Iter [31500/160000] lr: 7.500e-05, eta: 7:57:36, time: 0.189, data_time: 0.006, memory: 52540, decode.loss_ce: 0.1921, decode.acc_seg: 92.1904, loss: 0.1921 +2023-03-04 03:12:40,180 - mmseg - INFO - Iter [31550/160000] lr: 7.500e-05, eta: 7:57:18, time: 0.190, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1966, decode.acc_seg: 91.8120, loss: 0.1966 +2023-03-04 03:12:52,284 - mmseg - INFO - Iter [31600/160000] lr: 7.500e-05, eta: 7:57:10, time: 0.242, data_time: 0.056, memory: 52540, decode.loss_ce: 0.2054, decode.acc_seg: 91.6357, loss: 0.2054 +2023-03-04 03:13:01,998 - mmseg - INFO - Iter [31650/160000] lr: 7.500e-05, eta: 7:56:54, time: 0.194, data_time: 0.006, memory: 52540, decode.loss_ce: 0.1941, decode.acc_seg: 91.9722, loss: 0.1941 +2023-03-04 03:13:11,459 - mmseg - INFO - Iter [31700/160000] lr: 7.500e-05, eta: 7:56:36, time: 0.189, data_time: 0.006, memory: 52540, decode.loss_ce: 0.2020, decode.acc_seg: 91.7449, loss: 0.2020 +2023-03-04 03:13:20,930 - mmseg - INFO - Iter [31750/160000] lr: 7.500e-05, eta: 7:56:18, time: 0.189, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1960, decode.acc_seg: 92.0256, loss: 0.1960 +2023-03-04 03:13:30,404 - mmseg - INFO - Iter [31800/160000] lr: 7.500e-05, eta: 7:56:00, time: 0.189, data_time: 0.006, memory: 52540, decode.loss_ce: 0.2059, decode.acc_seg: 91.5547, loss: 0.2059 +2023-03-04 03:13:40,003 - mmseg - INFO - Iter [31850/160000] lr: 7.500e-05, eta: 7:55:42, time: 0.192, data_time: 0.006, memory: 52540, decode.loss_ce: 0.1964, decode.acc_seg: 92.0346, loss: 0.1964 +2023-03-04 03:13:49,481 - mmseg - INFO - Iter [31900/160000] lr: 7.500e-05, eta: 7:55:25, time: 0.190, data_time: 0.006, memory: 52540, decode.loss_ce: 0.2072, decode.acc_seg: 91.5917, loss: 0.2072 +2023-03-04 03:13:59,508 - mmseg - INFO - Iter [31950/160000] lr: 7.500e-05, eta: 7:55:09, time: 0.201, data_time: 0.006, memory: 52540, decode.loss_ce: 0.2039, decode.acc_seg: 91.6150, loss: 0.2039 +2023-03-04 03:14:09,203 - mmseg - INFO - Swap parameters (after train) after iter [32000] +2023-03-04 03:14:09,217 - mmseg - INFO - Saving checkpoint at 32000 iterations +2023-03-04 03:14:10,448 - mmseg - INFO - Exp name: ablation_segformer_mit_b2_segformer_head_unet_fc_small_multi_step_ade_single_stage.py +2023-03-04 03:14:10,449 - mmseg - INFO - Iter [32000/160000] lr: 7.500e-05, eta: 7:54:57, time: 0.219, data_time: 0.006, memory: 52540, decode.loss_ce: 0.1989, decode.acc_seg: 91.8292, loss: 0.1989 +2023-03-04 03:25:00,489 - mmseg - INFO - per class results: +2023-03-04 03:25:00,498 - mmseg - INFO - ++---------------------+-------------------------------------------------------------------+ +| Class | IoU 0,10,20,30,40,50,60,70,80,90,99 | ++---------------------+-------------------------------------------------------------------+ +| background | nan,nan,nan,nan,nan,nan,nan,nan,nan,nan,nan | +| wall | 77.3,77.31,77.32,77.34,77.35,77.36,77.37,77.37,77.37,77.38,77.38 | +| building | 81.57,81.58,81.58,81.57,81.59,81.6,81.6,81.6,81.6,81.61,81.61 | +| sky | 94.42,94.43,94.43,94.44,94.44,94.44,94.44,94.45,94.45,94.45,94.45 | +| floor | 81.64,81.65,81.63,81.64,81.64,81.63,81.65,81.63,81.64,81.64,81.64 | +| tree | 74.06,74.07,74.07,74.09,74.1,74.1,74.11,74.12,74.12,74.11,74.1 | +| ceiling | 85.44,85.45,85.45,85.46,85.46,85.45,85.46,85.45,85.45,85.46,85.45 | +| road | 81.99,81.99,82.0,81.98,81.98,81.94,81.95,81.94,81.96,81.94,81.93 | +| bed | 87.65,87.64,87.65,87.65,87.68,87.66,87.65,87.61,87.61,87.59,87.66 | +| windowpane | 60.42,60.44,60.45,60.43,60.46,60.45,60.5,60.51,60.49,60.5,60.45 | +| grass | 67.15,67.18,67.21,67.23,67.25,67.27,67.31,67.34,67.37,67.39,67.36 | +| cabinet | 60.92,61.01,61.1,61.21,61.29,61.29,61.34,61.29,61.3,61.29,61.33 | +| sidewalk | 63.86,63.87,63.91,63.91,63.93,63.9,63.93,63.92,63.94,63.93,63.89 | +| person | 79.31,79.31,79.32,79.35,79.35,79.37,79.41,79.41,79.41,79.43,79.42 | +| earth | 35.8,35.76,35.75,35.73,35.69,35.67,35.64,35.65,35.65,35.68,35.65 | +| door | 45.1,45.18,45.19,45.29,45.28,45.32,45.37,45.36,45.38,45.38,45.33 | +| table | 60.29,60.4,60.42,60.49,60.53,60.55,60.56,60.58,60.57,60.56,60.5 | +| mountain | 56.76,56.82,56.81,56.87,56.84,56.84,56.87,56.87,56.96,57.13,57.18 | +| plant | 50.07,50.09,50.06,50.02,49.98,49.92,49.88,49.85,49.83,49.83,49.8 | +| curtain | 74.38,74.45,74.48,74.46,74.5,74.57,74.58,74.58,74.59,74.59,74.53 | +| chair | 55.97,56.0,55.98,56.04,56.03,56.11,56.09,56.11,56.11,56.11,56.11 | +| car | 81.44,81.44,81.47,81.49,81.5,81.49,81.51,81.57,81.55,81.55,81.54 | +| water | 57.31,57.26,57.28,57.26,57.26,57.31,57.34,57.32,57.3,57.31,57.27 | +| painting | 70.06,70.06,70.01,69.99,69.98,69.95,69.97,69.98,69.97,69.95,69.99 | +| sofa | 64.01,64.1,64.12,64.23,64.26,64.31,64.35,64.4,64.43,64.46,64.39 | +| shelf | 44.16,44.13,44.16,44.2,44.21,44.26,44.23,44.26,44.21,44.24,44.25 | +| house | 42.49,42.48,42.58,42.56,42.59,42.67,42.66,42.66,42.67,42.7,42.62 | +| sea | 59.93,59.88,59.91,59.86,59.86,59.89,59.9,59.89,59.85,59.83,59.8 | +| mirror | 65.21,65.22,65.31,65.35,65.44,65.5,65.48,65.57,65.58,65.62,65.68 | +| rug | 65.4,65.43,65.38,65.5,65.4,65.42,65.53,65.47,65.48,65.46,65.45 | +| field | 30.93,30.93,30.92,30.93,30.95,30.92,30.93,30.93,30.91,30.9,30.93 | +| armchair | 37.66,37.69,37.76,37.84,37.85,37.88,37.93,38.0,38.02,38.04,38.07 | +| seat | 66.54,66.62,66.65,66.69,66.78,66.89,66.92,66.97,66.97,66.99,67.04 | +| fence | 40.91,40.83,40.72,40.74,40.78,40.82,40.81,40.75,40.72,40.66,40.61 | +| desk | 46.76,46.8,46.78,46.85,46.77,46.82,46.86,46.83,46.89,46.88,46.97 | +| rock | 36.67,36.63,36.58,36.57,36.52,36.55,36.44,36.34,36.31,36.25,36.26 | +| wardrobe | 57.29,57.45,57.53,57.64,57.68,57.72,57.79,57.81,57.85,57.86,57.84 | +| lamp | 61.31,61.32,61.27,61.24,61.2,61.14,61.14,61.14,61.1,61.1,61.04 | +| bathtub | 76.23,76.28,76.33,76.43,76.62,76.36,76.55,76.35,76.38,76.43,76.33 | +| railing | 33.65,33.66,33.65,33.62,33.64,33.77,33.78,33.79,33.75,33.81,33.77 | +| cushion | 56.11,56.09,56.19,56.17,56.19,56.19,56.26,56.17,56.18,56.24,56.14 | +| base | 21.29,21.42,21.41,21.55,21.82,21.8,21.96,21.94,22.0,22.0,22.12 | +| box | 23.12,23.15,23.23,23.21,23.3,23.3,23.38,23.41,23.37,23.48,23.41 | +| column | 45.91,45.93,46.04,46.02,46.12,46.12,46.16,46.1,46.0,45.96,45.97 | +| signboard | 37.92,37.88,37.94,37.9,37.91,37.94,37.97,37.96,37.92,37.88,37.87 | +| chest of drawers | 35.82,35.86,35.92,35.99,36.09,36.13,36.09,36.09,36.0,36.03,36.22 | +| counter | 29.92,29.98,29.91,29.94,30.07,30.02,30.04,29.99,29.99,29.98,29.91 | +| sand | 41.31,41.32,41.37,41.4,41.41,41.51,41.5,41.61,41.68,41.71,41.71 | +| sink | 67.0,67.03,67.01,67.05,67.04,67.11,67.09,67.07,67.08,67.1,67.04 | +| skyscraper | 49.41,49.18,48.87,48.68,48.9,48.93,48.89,49.02,49.0,49.08,49.0 | +| fireplace | 74.86,74.94,74.97,75.19,75.2,75.17,75.34,75.35,75.46,75.51,75.51 | +| refrigerator | 74.59,74.65,74.76,74.87,75.09,75.15,75.31,75.27,75.29,75.37,75.39 | +| grandstand | 51.78,51.91,52.08,52.14,52.15,52.35,52.5,52.53,52.69,52.88,52.7 | +| path | 22.29,22.41,22.52,22.58,22.68,22.69,22.77,22.84,22.86,22.9,22.91 | +| stairs | 32.87,33.04,33.11,33.07,33.15,33.24,33.19,33.29,33.26,33.27,33.32 | +| runway | 67.37,67.38,67.44,67.5,67.49,67.53,67.58,67.58,67.65,67.61,67.62 | +| case | 47.51,47.52,47.52,47.56,47.67,47.72,47.76,47.68,47.73,47.72,47.61 | +| pool table | 91.94,91.93,91.9,91.95,91.95,91.96,91.99,91.99,92.01,92.02,92.07 | +| pillow | 61.33,61.39,61.36,61.41,61.29,61.32,61.15,61.08,61.11,60.95,61.11 | +| screen door | 67.79,67.73,67.82,67.77,67.91,67.89,67.91,68.04,67.99,68.12,68.22 | +| stairway | 24.42,24.5,24.5,24.56,24.63,24.64,24.57,24.63,24.62,24.65,24.64 | +| river | 11.74,11.73,11.71,11.73,11.74,11.73,11.72,11.71,11.7,11.71,11.7 | +| bridge | 32.07,32.08,32.11,32.18,32.21,32.18,32.13,32.18,32.19,32.08,31.97 | +| bookcase | 44.97,45.01,44.97,45.0,45.11,44.99,45.02,44.99,44.86,44.85,44.82 | +| blind | 38.65,38.43,38.44,38.35,38.27,38.14,38.09,38.15,38.18,38.14,38.17 | +| coffee table | 53.62,53.76,53.65,53.81,53.78,53.55,53.52,53.44,53.38,53.42,53.43 | +| toilet | 83.53,83.55,83.51,83.61,83.58,83.6,83.61,83.6,83.65,83.65,83.62 | +| flower | 38.46,38.53,38.58,38.55,38.52,38.5,38.5,38.55,38.52,38.52,38.49 | +| book | 44.83,44.87,44.81,44.91,44.83,44.81,44.87,44.85,44.82,44.85,44.87 | +| hill | 15.71,15.65,15.65,15.53,15.45,15.43,15.47,15.35,15.34,15.34,15.44 | +| bench | 43.47,43.48,43.38,43.35,43.35,43.17,43.17,43.13,42.94,42.89,42.93 | +| countertop | 54.55,54.57,54.56,54.56,54.58,54.79,54.68,54.67,54.78,54.73,54.66 | +| stove | 70.74,70.79,70.8,70.74,70.76,70.74,70.67,70.63,70.64,70.62,70.52 | +| palm | 48.24,48.25,48.26,48.2,48.12,48.19,48.17,48.12,48.07,48.11,48.06 | +| kitchen island | 43.12,43.14,43.25,43.42,43.71,43.65,43.69,43.65,43.75,43.82,43.92 | +| computer | 60.1,60.16,60.15,60.18,60.17,60.25,60.23,60.2,60.25,60.26,60.25 | +| swivel chair | 44.17,44.22,44.17,44.2,44.2,44.29,44.28,44.29,44.28,44.41,44.45 | +| boat | 72.89,72.96,73.05,73.18,73.26,73.24,73.22,73.27,73.29,73.33,73.35 | +| bar | 23.69,23.68,23.64,23.61,23.63,23.64,23.6,23.62,23.62,23.59,23.63 | +| arcade machine | 69.47,69.2,69.7,69.74,69.83,70.15,70.34,70.73,71.03,71.22,71.35 | +| hovel | 33.88,33.77,33.84,33.66,33.66,33.77,33.63,33.6,33.57,33.6,33.19 | +| bus | 78.79,78.75,78.73,78.73,78.8,78.69,78.63,78.58,78.58,78.54,78.46 | +| towel | 62.66,62.52,62.56,62.52,62.45,62.37,62.39,62.34,62.36,62.29,62.34 | +| light | 54.87,54.96,55.06,55.06,55.13,55.19,55.19,55.2,55.26,55.3,55.25 | +| truck | 17.78,17.87,17.48,17.68,17.55,17.49,17.38,17.34,17.28,17.02,17.02 | +| tower | 9.08,9.12,9.15,9.14,9.14,9.17,9.18,9.2,9.21,9.24,9.24 | +| chandelier | 63.81,63.7,63.77,63.73,63.71,63.73,63.75,63.7,63.72,63.76,63.67 | +| awning | 23.99,24.1,24.2,24.3,24.37,24.35,24.49,24.49,24.54,24.57,24.58 | +| streetlight | 26.53,26.57,26.53,26.61,26.79,26.7,26.69,26.78,26.72,26.74,26.77 | +| booth | 47.85,48.16,48.38,48.47,48.55,48.81,48.79,48.83,48.98,48.99,49.09 | +| television receiver | 63.41,63.38,63.38,63.39,63.41,63.3,63.34,63.37,63.4,63.37,63.39 | +| airplane | 58.64,58.55,58.68,58.74,58.76,58.72,58.69,58.72,58.83,58.74,58.75 | +| dirt track | 19.99,20.43,20.39,20.65,20.74,20.93,20.75,21.01,21.16,21.28,21.37 | +| apparel | 36.43,36.58,36.54,36.88,36.76,36.75,37.04,36.9,36.95,36.89,36.79 | +| pole | 20.01,20.09,19.99,19.91,19.9,19.6,19.6,19.29,19.24,19.14,19.03 | +| land | 3.58,3.57,3.64,3.64,3.6,3.61,3.65,3.69,3.68,3.71,3.67 | +| bannister | 11.82,11.93,11.86,12.11,12.27,12.22,12.43,12.31,12.44,12.52,12.59 | +| escalator | 24.63,24.65,24.68,24.73,24.74,24.82,24.87,24.91,24.98,24.97,24.97 | +| ottoman | 43.72,43.86,43.78,43.97,44.12,43.96,43.67,43.74,43.7,43.64,44.39 | +| bottle | 35.37,35.36,35.41,35.38,35.28,35.3,35.3,35.34,35.28,35.21,35.23 | +| buffet | 38.92,39.28,39.91,40.52,41.04,41.57,41.94,41.98,42.41,42.7,43.09 | +| poster | 23.72,23.63,23.68,23.82,23.49,23.63,23.46,23.58,23.46,23.43,23.81 | +| stage | 14.86,14.79,14.85,14.79,14.72,14.75,14.83,14.97,15.19,15.3,15.29 | +| van | 38.53,38.56,38.51,38.55,38.51,38.51,38.46,38.52,38.49,38.48,38.48 | +| ship | 81.55,81.83,82.17,82.12,82.19,82.35,82.42,82.41,82.22,82.23,82.15 | +| fountain | 20.78,20.95,21.08,21.28,21.33,21.53,21.74,21.88,22.02,22.03,22.11 | +| conveyer belt | 84.11,84.2,84.4,84.36,84.27,84.31,84.43,84.51,84.55,84.58,84.55 | +| canopy | 22.86,22.92,23.1,23.13,23.28,23.5,23.46,23.59,23.63,23.75,24.07 | +| washer | 77.13,77.07,77.1,76.93,76.87,76.92,76.84,76.49,76.51,76.63,76.23 | +| plaything | 21.16,20.99,21.08,21.1,21.1,21.1,21.09,21.08,21.09,21.08,21.04 | +| swimming pool | 73.88,73.8,74.07,74.04,74.24,74.29,74.4,74.38,74.41,74.75,74.81 | +| stool | 44.23,44.18,44.19,44.24,44.14,44.14,44.08,44.11,44.13,44.11,44.13 | +| barrel | 45.59,46.89,45.25,44.14,45.57,43.93,43.74,43.96,43.95,43.17,43.13 | +| basket | 24.33,24.31,24.3,24.35,24.35,24.42,24.42,24.51,24.44,24.39,24.44 | +| waterfall | 50.88,50.93,51.01,51.13,51.15,51.02,51.19,51.14,51.3,51.39,51.4 | +| tent | 94.62,94.6,94.66,94.59,94.6,94.68,94.68,94.67,94.69,94.7,94.67 | +| bag | 16.01,16.19,16.07,16.09,16.27,16.16,16.22,16.21,16.22,16.22,16.34 | +| minibike | 63.03,63.04,63.08,63.04,63.01,63.04,63.12,63.08,63.02,63.07,63.08 | +| cradle | 84.18,84.27,84.3,84.43,84.46,84.6,84.65,84.73,84.82,84.85,84.88 | +| oven | 48.04,48.33,48.22,48.24,48.11,48.11,48.5,48.27,48.37,48.46,48.45 | +| ball | 44.77,44.69,44.84,44.79,44.93,44.82,44.69,44.86,44.88,44.85,44.93 | +| food | 55.77,55.73,55.81,55.88,55.95,56.02,55.99,55.98,56.01,56.13,56.12 | +| step | 6.24,6.18,6.08,6.17,6.0,6.14,6.14,6.12,6.08,6.03,5.77 | +| tank | 52.1,52.03,52.05,51.98,52.04,51.94,51.96,51.9,51.94,51.93,51.93 | +| trade name | 28.67,28.63,28.73,28.68,28.68,28.53,28.67,28.55,28.54,28.45,28.42 | +| microwave | 75.34,75.47,75.5,75.63,75.54,75.56,75.86,75.72,75.84,75.88,75.92 | +| pot | 30.95,31.12,31.14,31.43,31.51,31.56,31.73,31.86,32.02,32.09,32.18 | +| animal | 53.82,53.9,53.92,53.94,54.01,54.05,54.03,53.99,53.88,53.63,53.73 | +| bicycle | 54.16,54.28,54.36,54.51,54.55,54.65,54.7,54.88,54.93,54.94,55.01 | +| lake | 57.39,57.42,57.41,57.42,57.45,57.45,57.48,57.51,57.5,57.53,57.53 | +| dishwasher | 62.72,62.67,62.59,62.62,62.47,62.52,62.51,62.4,62.35,62.49,62.38 | +| screen | 67.23,67.25,67.23,67.01,67.02,66.98,66.97,66.91,66.79,66.77,67.02 | +| blanket | 18.09,17.91,17.8,17.85,17.64,17.58,17.54,17.46,17.4,17.27,17.39 | +| sculpture | 56.85,57.04,56.68,56.9,56.87,56.62,56.75,56.51,56.33,56.19,56.39 | +| hood | 58.14,58.2,58.01,58.45,57.99,58.11,57.93,57.75,57.9,57.65,57.45 | +| sconce | 41.78,42.06,42.01,41.92,42.14,42.09,42.1,42.18,42.2,42.23,42.21 | +| vase | 37.06,37.02,37.03,37.08,37.13,37.07,37.12,37.14,37.14,37.13,37.16 | +| traffic light | 32.87,32.77,32.9,32.94,33.17,33.11,33.18,33.15,33.16,33.18,33.28 | +| tray | 6.59,6.64,6.55,6.66,6.76,6.86,6.92,7.0,7.05,6.99,7.09 | +| ashcan | 40.62,40.62,40.69,41.03,40.98,40.93,41.06,41.05,41.09,41.2,41.27 | +| fan | 58.4,58.37,58.32,58.4,58.33,58.18,58.22,58.12,58.01,57.97,57.86 | +| pier | 53.61,54.24,53.97,54.69,54.3,54.42,54.99,54.73,54.81,54.82,55.06 | +| crt screen | 10.46,10.45,10.49,10.55,10.55,10.57,10.63,10.6,10.58,10.58,10.48 | +| plate | 51.51,51.6,51.65,51.86,51.84,51.9,51.96,52.02,52.08,52.18,52.2 | +| monitor | 18.65,18.68,18.67,18.63,18.71,18.47,18.54,18.4,18.36,18.38,18.24 | +| bulletin board | 37.14,37.18,37.2,37.47,37.51,37.74,38.0,38.06,37.95,38.02,38.19 | +| shower | 1.45,1.43,1.45,1.53,1.47,1.44,1.51,1.46,1.41,1.43,1.45 | +| radiator | 57.75,57.89,58.24,58.68,59.21,59.36,59.73,59.98,60.35,60.92,61.29 | +| glass | 13.41,13.42,13.46,13.39,13.44,13.45,13.47,13.42,13.35,13.34,13.45 | +| clock | 33.84,33.84,34.19,34.19,34.1,34.14,33.97,34.04,33.96,34.02,33.83 | +| flag | 35.34,35.41,35.09,35.37,35.33,35.22,35.38,35.25,35.18,35.22,35.01 | ++---------------------+-------------------------------------------------------------------+ +2023-03-04 03:25:00,498 - mmseg - INFO - Summary: +2023-03-04 03:25:00,498 - mmseg - INFO - ++-------------------------------------------------------------------+ +| mIoU 0,10,20,30,40,50,60,70,80,90,99 | ++-------------------------------------------------------------------+ +| 48.59,48.63,48.64,48.69,48.72,48.72,48.75,48.75,48.77,48.78,48.79 | ++-------------------------------------------------------------------+ +2023-03-04 03:25:00,532 - mmseg - INFO - The previous best checkpoint /mnt/petrelfs/laizeqiang/mmseg-baseline/work_dirs2/ablation_segformer_mit_b2_segformer_head_unet_fc_small_multi_step_ade_single_stage/best_mIoU_iter_16000.pth was removed +2023-03-04 03:25:01,506 - mmseg - INFO - Now best checkpoint is saved as best_mIoU_iter_32000.pth. +2023-03-04 03:25:01,507 - mmseg - INFO - Best mIoU is 0.4879 at 32000 iter. +2023-03-04 03:25:01,507 - mmseg - INFO - Exp name: ablation_segformer_mit_b2_segformer_head_unet_fc_small_multi_step_ade_single_stage.py +2023-03-04 03:25:01,507 - mmseg - INFO - Iter(val) [250] mIoU: [0.4859, 0.4863, 0.4864, 0.4869, 0.4872, 0.4872, 0.4875, 0.4875, 0.4877, 0.4878, 0.4879], copy_paste: 48.59,48.63,48.64,48.69,48.72,48.72,48.75,48.75,48.77,48.78,48.79 +2023-03-04 03:25:01,513 - mmseg - INFO - Swap parameters (before train) before iter [32001] +2023-03-04 03:25:11,634 - mmseg - INFO - Iter [32050/160000] lr: 7.500e-05, eta: 8:38:01, time: 13.224, data_time: 13.028, memory: 52540, decode.loss_ce: 0.1951, decode.acc_seg: 92.0254, loss: 0.1951 +2023-03-04 03:25:21,324 - mmseg - INFO - Iter [32100/160000] lr: 7.500e-05, eta: 8:37:39, time: 0.194, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1995, decode.acc_seg: 91.8270, loss: 0.1995 +2023-03-04 03:25:30,953 - mmseg - INFO - Iter [32150/160000] lr: 7.500e-05, eta: 8:37:17, time: 0.193, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1985, decode.acc_seg: 91.8212, loss: 0.1985 +2023-03-04 03:25:43,124 - mmseg - INFO - Iter [32200/160000] lr: 7.500e-05, eta: 8:37:05, time: 0.243, data_time: 0.054, memory: 52540, decode.loss_ce: 0.2034, decode.acc_seg: 91.7085, loss: 0.2034 +2023-03-04 03:25:52,960 - mmseg - INFO - Iter [32250/160000] lr: 7.500e-05, eta: 8:36:44, time: 0.197, data_time: 0.006, memory: 52540, decode.loss_ce: 0.1977, decode.acc_seg: 91.7645, loss: 0.1977 +2023-03-04 03:26:02,534 - mmseg - INFO - Iter [32300/160000] lr: 7.500e-05, eta: 8:36:22, time: 0.191, data_time: 0.006, memory: 52540, decode.loss_ce: 0.1934, decode.acc_seg: 92.0085, loss: 0.1934 +2023-03-04 03:26:12,202 - mmseg - INFO - Iter [32350/160000] lr: 7.500e-05, eta: 8:36:00, time: 0.193, data_time: 0.006, memory: 52540, decode.loss_ce: 0.2015, decode.acc_seg: 91.7813, loss: 0.2015 +2023-03-04 03:26:21,780 - mmseg - INFO - Iter [32400/160000] lr: 7.500e-05, eta: 8:35:38, time: 0.192, data_time: 0.006, memory: 52540, decode.loss_ce: 0.2011, decode.acc_seg: 91.7114, loss: 0.2011 +2023-03-04 03:26:31,424 - mmseg - INFO - Iter [32450/160000] lr: 7.500e-05, eta: 8:35:16, time: 0.193, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1995, decode.acc_seg: 91.8406, loss: 0.1995 +2023-03-04 03:26:41,164 - mmseg - INFO - Iter [32500/160000] lr: 7.500e-05, eta: 8:34:54, time: 0.195, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1982, decode.acc_seg: 91.8911, loss: 0.1982 +2023-03-04 03:26:50,761 - mmseg - INFO - Iter [32550/160000] lr: 7.500e-05, eta: 8:34:32, time: 0.192, data_time: 0.007, memory: 52540, decode.loss_ce: 0.2059, decode.acc_seg: 91.5702, loss: 0.2059 +2023-03-04 03:27:00,370 - mmseg - INFO - Iter [32600/160000] lr: 7.500e-05, eta: 8:34:10, time: 0.192, data_time: 0.006, memory: 52540, decode.loss_ce: 0.2057, decode.acc_seg: 91.6931, loss: 0.2057 +2023-03-04 03:27:09,991 - mmseg - INFO - Iter [32650/160000] lr: 7.500e-05, eta: 8:33:49, time: 0.192, data_time: 0.007, memory: 52540, decode.loss_ce: 0.2069, decode.acc_seg: 91.5200, loss: 0.2069 +2023-03-04 03:27:19,861 - mmseg - INFO - Iter [32700/160000] lr: 7.500e-05, eta: 8:33:28, time: 0.197, data_time: 0.006, memory: 52540, decode.loss_ce: 0.1933, decode.acc_seg: 92.2129, loss: 0.1933 +2023-03-04 03:27:29,402 - mmseg - INFO - Iter [32750/160000] lr: 7.500e-05, eta: 8:33:06, time: 0.191, data_time: 0.007, memory: 52540, decode.loss_ce: 0.2007, decode.acc_seg: 91.6787, loss: 0.2007 +2023-03-04 03:27:38,852 - mmseg - INFO - Iter [32800/160000] lr: 7.500e-05, eta: 8:32:43, time: 0.189, data_time: 0.007, memory: 52540, decode.loss_ce: 0.2100, decode.acc_seg: 91.3708, loss: 0.2100 +2023-03-04 03:27:51,057 - mmseg - INFO - Iter [32850/160000] lr: 7.500e-05, eta: 8:32:32, time: 0.244, data_time: 0.054, memory: 52540, decode.loss_ce: 0.2095, decode.acc_seg: 91.5304, loss: 0.2095 +2023-03-04 03:28:00,912 - mmseg - INFO - Iter [32900/160000] lr: 7.500e-05, eta: 8:32:11, time: 0.197, data_time: 0.007, memory: 52540, decode.loss_ce: 0.2053, decode.acc_seg: 91.6843, loss: 0.2053 +2023-03-04 03:28:10,415 - mmseg - INFO - Iter [32950/160000] lr: 7.500e-05, eta: 8:31:49, time: 0.190, data_time: 0.006, memory: 52540, decode.loss_ce: 0.1967, decode.acc_seg: 92.0044, loss: 0.1967 +2023-03-04 03:28:19,863 - mmseg - INFO - Exp name: ablation_segformer_mit_b2_segformer_head_unet_fc_small_multi_step_ade_single_stage.py +2023-03-04 03:28:19,863 - mmseg - INFO - Iter [33000/160000] lr: 7.500e-05, eta: 8:31:27, time: 0.189, data_time: 0.006, memory: 52540, decode.loss_ce: 0.2051, decode.acc_seg: 91.6169, loss: 0.2051 +2023-03-04 03:28:29,345 - mmseg - INFO - Iter [33050/160000] lr: 7.500e-05, eta: 8:31:05, time: 0.190, data_time: 0.006, memory: 52540, decode.loss_ce: 0.1965, decode.acc_seg: 91.9958, loss: 0.1965 +2023-03-04 03:28:39,072 - mmseg - INFO - Iter [33100/160000] lr: 7.500e-05, eta: 8:30:43, time: 0.195, data_time: 0.007, memory: 52540, decode.loss_ce: 0.2094, decode.acc_seg: 91.4248, loss: 0.2094 +2023-03-04 03:28:48,732 - mmseg - INFO - Iter [33150/160000] lr: 7.500e-05, eta: 8:30:22, time: 0.193, data_time: 0.006, memory: 52540, decode.loss_ce: 0.1982, decode.acc_seg: 91.8463, loss: 0.1982 +2023-03-04 03:28:58,495 - mmseg - INFO - Iter [33200/160000] lr: 7.500e-05, eta: 8:30:01, time: 0.195, data_time: 0.006, memory: 52540, decode.loss_ce: 0.1918, decode.acc_seg: 92.1261, loss: 0.1918 +2023-03-04 03:29:08,309 - mmseg - INFO - Iter [33250/160000] lr: 7.500e-05, eta: 8:29:41, time: 0.196, data_time: 0.007, memory: 52540, decode.loss_ce: 0.2106, decode.acc_seg: 91.7153, loss: 0.2106 +2023-03-04 03:29:17,790 - mmseg - INFO - Iter [33300/160000] lr: 7.500e-05, eta: 8:29:19, time: 0.190, data_time: 0.006, memory: 52540, decode.loss_ce: 0.2028, decode.acc_seg: 91.6673, loss: 0.2028 +2023-03-04 03:29:27,306 - mmseg - INFO - Iter [33350/160000] lr: 7.500e-05, eta: 8:28:57, time: 0.190, data_time: 0.006, memory: 52540, decode.loss_ce: 0.1972, decode.acc_seg: 91.9502, loss: 0.1972 +2023-03-04 03:29:36,876 - mmseg - INFO - Iter [33400/160000] lr: 7.500e-05, eta: 8:28:36, time: 0.191, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1994, decode.acc_seg: 91.9113, loss: 0.1994 +2023-03-04 03:29:49,173 - mmseg - INFO - Iter [33450/160000] lr: 7.500e-05, eta: 8:28:24, time: 0.246, data_time: 0.053, memory: 52540, decode.loss_ce: 0.1982, decode.acc_seg: 91.8185, loss: 0.1982 +2023-03-04 03:29:58,922 - mmseg - INFO - Iter [33500/160000] lr: 7.500e-05, eta: 8:28:04, time: 0.195, data_time: 0.006, memory: 52540, decode.loss_ce: 0.2107, decode.acc_seg: 91.4475, loss: 0.2107 +2023-03-04 03:30:08,466 - mmseg - INFO - Iter [33550/160000] lr: 7.500e-05, eta: 8:27:42, time: 0.191, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1997, decode.acc_seg: 91.8301, loss: 0.1997 +2023-03-04 03:30:18,100 - mmseg - INFO - Iter [33600/160000] lr: 7.500e-05, eta: 8:27:21, time: 0.193, data_time: 0.006, memory: 52540, decode.loss_ce: 0.1924, decode.acc_seg: 91.9205, loss: 0.1924 +2023-03-04 03:30:27,584 - mmseg - INFO - Iter [33650/160000] lr: 7.500e-05, eta: 8:26:59, time: 0.190, data_time: 0.006, memory: 52540, decode.loss_ce: 0.1966, decode.acc_seg: 91.8410, loss: 0.1966 +2023-03-04 03:30:37,188 - mmseg - INFO - Iter [33700/160000] lr: 7.500e-05, eta: 8:26:38, time: 0.192, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1993, decode.acc_seg: 91.7874, loss: 0.1993 +2023-03-04 03:30:46,631 - mmseg - INFO - Iter [33750/160000] lr: 7.500e-05, eta: 8:26:17, time: 0.189, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1999, decode.acc_seg: 91.7077, loss: 0.1999 +2023-03-04 03:30:56,271 - mmseg - INFO - Iter [33800/160000] lr: 7.500e-05, eta: 8:25:56, time: 0.193, data_time: 0.007, memory: 52540, decode.loss_ce: 0.2023, decode.acc_seg: 91.7055, loss: 0.2023 +2023-03-04 03:31:06,142 - mmseg - INFO - Iter [33850/160000] lr: 7.500e-05, eta: 8:25:35, time: 0.197, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1921, decode.acc_seg: 92.1077, loss: 0.1921 +2023-03-04 03:31:15,696 - mmseg - INFO - Iter [33900/160000] lr: 7.500e-05, eta: 8:25:14, time: 0.191, data_time: 0.006, memory: 52540, decode.loss_ce: 0.1914, decode.acc_seg: 92.1052, loss: 0.1914 +2023-03-04 03:31:25,601 - mmseg - INFO - Iter [33950/160000] lr: 7.500e-05, eta: 8:24:54, time: 0.198, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1992, decode.acc_seg: 91.8882, loss: 0.1992 +2023-03-04 03:31:35,147 - mmseg - INFO - Exp name: ablation_segformer_mit_b2_segformer_head_unet_fc_small_multi_step_ade_single_stage.py +2023-03-04 03:31:35,147 - mmseg - INFO - Iter [34000/160000] lr: 7.500e-05, eta: 8:24:33, time: 0.191, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1999, decode.acc_seg: 91.8565, loss: 0.1999 +2023-03-04 03:31:44,986 - mmseg - INFO - Iter [34050/160000] lr: 7.500e-05, eta: 8:24:13, time: 0.197, data_time: 0.007, memory: 52540, decode.loss_ce: 0.2013, decode.acc_seg: 91.7807, loss: 0.2013 +2023-03-04 03:31:57,050 - mmseg - INFO - Iter [34100/160000] lr: 7.500e-05, eta: 8:24:01, time: 0.241, data_time: 0.054, memory: 52540, decode.loss_ce: 0.2067, decode.acc_seg: 91.7056, loss: 0.2067 +2023-03-04 03:32:06,787 - mmseg - INFO - Iter [34150/160000] lr: 7.500e-05, eta: 8:23:41, time: 0.195, data_time: 0.006, memory: 52540, decode.loss_ce: 0.2012, decode.acc_seg: 91.8072, loss: 0.2012 +2023-03-04 03:32:16,522 - mmseg - INFO - Iter [34200/160000] lr: 7.500e-05, eta: 8:23:21, time: 0.195, data_time: 0.006, memory: 52540, decode.loss_ce: 0.1919, decode.acc_seg: 91.9953, loss: 0.1919 +2023-03-04 03:32:26,608 - mmseg - INFO - Iter [34250/160000] lr: 7.500e-05, eta: 8:23:02, time: 0.202, data_time: 0.007, memory: 52540, decode.loss_ce: 0.2002, decode.acc_seg: 91.6769, loss: 0.2002 +2023-03-04 03:32:36,483 - mmseg - INFO - Iter [34300/160000] lr: 7.500e-05, eta: 8:22:42, time: 0.197, data_time: 0.006, memory: 52540, decode.loss_ce: 0.2039, decode.acc_seg: 91.7848, loss: 0.2039 +2023-03-04 03:32:46,562 - mmseg - INFO - Iter [34350/160000] lr: 7.500e-05, eta: 8:22:23, time: 0.202, data_time: 0.006, memory: 52540, decode.loss_ce: 0.1942, decode.acc_seg: 92.0615, loss: 0.1942 +2023-03-04 03:32:56,137 - mmseg - INFO - Iter [34400/160000] lr: 7.500e-05, eta: 8:22:02, time: 0.192, data_time: 0.007, memory: 52540, decode.loss_ce: 0.2043, decode.acc_seg: 91.6021, loss: 0.2043 +2023-03-04 03:33:05,929 - mmseg - INFO - Iter [34450/160000] lr: 7.500e-05, eta: 8:21:42, time: 0.196, data_time: 0.006, memory: 52540, decode.loss_ce: 0.1913, decode.acc_seg: 92.2383, loss: 0.1913 +2023-03-04 03:33:15,592 - mmseg - INFO - Iter [34500/160000] lr: 7.500e-05, eta: 8:21:21, time: 0.193, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1943, decode.acc_seg: 92.0894, loss: 0.1943 +2023-03-04 03:33:25,453 - mmseg - INFO - Iter [34550/160000] lr: 7.500e-05, eta: 8:21:02, time: 0.197, data_time: 0.007, memory: 52540, decode.loss_ce: 0.2042, decode.acc_seg: 91.5059, loss: 0.2042 +2023-03-04 03:33:35,143 - mmseg - INFO - Iter [34600/160000] lr: 7.500e-05, eta: 8:20:41, time: 0.194, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1913, decode.acc_seg: 92.1288, loss: 0.1913 +2023-03-04 03:33:44,913 - mmseg - INFO - Iter [34650/160000] lr: 7.500e-05, eta: 8:20:21, time: 0.195, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1969, decode.acc_seg: 91.8864, loss: 0.1969 +2023-03-04 03:33:54,473 - mmseg - INFO - Iter [34700/160000] lr: 7.500e-05, eta: 8:20:01, time: 0.191, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1968, decode.acc_seg: 91.9262, loss: 0.1968 +2023-03-04 03:34:06,439 - mmseg - INFO - Iter [34750/160000] lr: 7.500e-05, eta: 8:19:49, time: 0.239, data_time: 0.053, memory: 52540, decode.loss_ce: 0.2011, decode.acc_seg: 91.5486, loss: 0.2011 +2023-03-04 03:34:16,106 - mmseg - INFO - Iter [34800/160000] lr: 7.500e-05, eta: 8:19:29, time: 0.193, data_time: 0.006, memory: 52540, decode.loss_ce: 0.1961, decode.acc_seg: 92.1144, loss: 0.1961 +2023-03-04 03:34:26,204 - mmseg - INFO - Iter [34850/160000] lr: 7.500e-05, eta: 8:19:10, time: 0.202, data_time: 0.007, memory: 52540, decode.loss_ce: 0.2033, decode.acc_seg: 91.7293, loss: 0.2033 +2023-03-04 03:34:35,748 - mmseg - INFO - Iter [34900/160000] lr: 7.500e-05, eta: 8:18:49, time: 0.191, data_time: 0.006, memory: 52540, decode.loss_ce: 0.1983, decode.acc_seg: 91.8587, loss: 0.1983 +2023-03-04 03:34:45,664 - mmseg - INFO - Iter [34950/160000] lr: 7.500e-05, eta: 8:18:30, time: 0.198, data_time: 0.006, memory: 52540, decode.loss_ce: 0.1954, decode.acc_seg: 91.9422, loss: 0.1954 +2023-03-04 03:34:55,511 - mmseg - INFO - Exp name: ablation_segformer_mit_b2_segformer_head_unet_fc_small_multi_step_ade_single_stage.py +2023-03-04 03:34:55,511 - mmseg - INFO - Iter [35000/160000] lr: 7.500e-05, eta: 8:18:10, time: 0.197, data_time: 0.006, memory: 52540, decode.loss_ce: 0.2048, decode.acc_seg: 91.7323, loss: 0.2048 +2023-03-04 03:35:05,437 - mmseg - INFO - Iter [35050/160000] lr: 7.500e-05, eta: 8:17:51, time: 0.199, data_time: 0.006, memory: 52540, decode.loss_ce: 0.1986, decode.acc_seg: 91.8347, loss: 0.1986 +2023-03-04 03:35:14,912 - mmseg - INFO - Iter [35100/160000] lr: 7.500e-05, eta: 8:17:30, time: 0.189, data_time: 0.006, memory: 52540, decode.loss_ce: 0.2013, decode.acc_seg: 91.8496, loss: 0.2013 +2023-03-04 03:35:24,447 - mmseg - INFO - Iter [35150/160000] lr: 7.500e-05, eta: 8:17:10, time: 0.191, data_time: 0.006, memory: 52540, decode.loss_ce: 0.2016, decode.acc_seg: 91.7039, loss: 0.2016 +2023-03-04 03:35:34,125 - mmseg - INFO - Iter [35200/160000] lr: 7.500e-05, eta: 8:16:50, time: 0.193, data_time: 0.006, memory: 52540, decode.loss_ce: 0.2031, decode.acc_seg: 91.6280, loss: 0.2031 +2023-03-04 03:35:43,644 - mmseg - INFO - Iter [35250/160000] lr: 7.500e-05, eta: 8:16:29, time: 0.191, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1958, decode.acc_seg: 91.9021, loss: 0.1958 +2023-03-04 03:35:53,406 - mmseg - INFO - Iter [35300/160000] lr: 7.500e-05, eta: 8:16:10, time: 0.195, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1973, decode.acc_seg: 91.9467, loss: 0.1973 +2023-03-04 03:36:05,382 - mmseg - INFO - Iter [35350/160000] lr: 7.500e-05, eta: 8:15:58, time: 0.240, data_time: 0.054, memory: 52540, decode.loss_ce: 0.1996, decode.acc_seg: 91.7573, loss: 0.1996 +2023-03-04 03:36:14,873 - mmseg - INFO - Iter [35400/160000] lr: 7.500e-05, eta: 8:15:37, time: 0.190, data_time: 0.006, memory: 52540, decode.loss_ce: 0.1942, decode.acc_seg: 92.0068, loss: 0.1942 +2023-03-04 03:36:24,670 - mmseg - INFO - Iter [35450/160000] lr: 7.500e-05, eta: 8:15:18, time: 0.196, data_time: 0.006, memory: 52540, decode.loss_ce: 0.1894, decode.acc_seg: 92.2821, loss: 0.1894 +2023-03-04 03:36:34,356 - mmseg - INFO - Iter [35500/160000] lr: 7.500e-05, eta: 8:14:58, time: 0.194, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1933, decode.acc_seg: 92.0118, loss: 0.1933 +2023-03-04 03:36:44,049 - mmseg - INFO - Iter [35550/160000] lr: 7.500e-05, eta: 8:14:38, time: 0.194, data_time: 0.006, memory: 52540, decode.loss_ce: 0.2047, decode.acc_seg: 91.6695, loss: 0.2047 +2023-03-04 03:36:53,684 - mmseg - INFO - Iter [35600/160000] lr: 7.500e-05, eta: 8:14:19, time: 0.193, data_time: 0.006, memory: 52540, decode.loss_ce: 0.2026, decode.acc_seg: 91.6933, loss: 0.2026 +2023-03-04 03:37:03,235 - mmseg - INFO - Iter [35650/160000] lr: 7.500e-05, eta: 8:13:58, time: 0.191, data_time: 0.006, memory: 52540, decode.loss_ce: 0.1993, decode.acc_seg: 92.0278, loss: 0.1993 +2023-03-04 03:37:12,747 - mmseg - INFO - Iter [35700/160000] lr: 7.500e-05, eta: 8:13:38, time: 0.190, data_time: 0.007, memory: 52540, decode.loss_ce: 0.2050, decode.acc_seg: 91.5966, loss: 0.2050 +2023-03-04 03:37:22,188 - mmseg - INFO - Iter [35750/160000] lr: 7.500e-05, eta: 8:13:18, time: 0.189, data_time: 0.007, memory: 52540, decode.loss_ce: 0.2025, decode.acc_seg: 91.6185, loss: 0.2025 +2023-03-04 03:37:31,914 - mmseg - INFO - Iter [35800/160000] lr: 7.500e-05, eta: 8:12:58, time: 0.195, data_time: 0.007, memory: 52540, decode.loss_ce: 0.2023, decode.acc_seg: 91.6921, loss: 0.2023 +2023-03-04 03:37:41,428 - mmseg - INFO - Iter [35850/160000] lr: 7.500e-05, eta: 8:12:38, time: 0.190, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1956, decode.acc_seg: 92.0219, loss: 0.1956 +2023-03-04 03:37:51,427 - mmseg - INFO - Iter [35900/160000] lr: 7.500e-05, eta: 8:12:19, time: 0.200, data_time: 0.006, memory: 52540, decode.loss_ce: 0.2034, decode.acc_seg: 91.6552, loss: 0.2034 +2023-03-04 03:38:01,394 - mmseg - INFO - Iter [35950/160000] lr: 7.500e-05, eta: 8:12:01, time: 0.199, data_time: 0.006, memory: 52540, decode.loss_ce: 0.1965, decode.acc_seg: 91.8762, loss: 0.1965 +2023-03-04 03:38:13,391 - mmseg - INFO - Exp name: ablation_segformer_mit_b2_segformer_head_unet_fc_small_multi_step_ade_single_stage.py +2023-03-04 03:38:13,391 - mmseg - INFO - Iter [36000/160000] lr: 7.500e-05, eta: 8:11:49, time: 0.240, data_time: 0.054, memory: 52540, decode.loss_ce: 0.2068, decode.acc_seg: 91.6958, loss: 0.2068 +2023-03-04 03:38:22,952 - mmseg - INFO - Iter [36050/160000] lr: 7.500e-05, eta: 8:11:29, time: 0.191, data_time: 0.006, memory: 52540, decode.loss_ce: 0.1991, decode.acc_seg: 91.6860, loss: 0.1991 +2023-03-04 03:38:32,700 - mmseg - INFO - Iter [36100/160000] lr: 7.500e-05, eta: 8:11:10, time: 0.195, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1934, decode.acc_seg: 92.0686, loss: 0.1934 +2023-03-04 03:38:42,417 - mmseg - INFO - Iter [36150/160000] lr: 7.500e-05, eta: 8:10:51, time: 0.194, data_time: 0.007, memory: 52540, decode.loss_ce: 0.2003, decode.acc_seg: 91.7530, loss: 0.2003 +2023-03-04 03:38:52,152 - mmseg - INFO - Iter [36200/160000] lr: 7.500e-05, eta: 8:10:31, time: 0.195, data_time: 0.006, memory: 52540, decode.loss_ce: 0.2060, decode.acc_seg: 91.5895, loss: 0.2060 +2023-03-04 03:39:01,886 - mmseg - INFO - Iter [36250/160000] lr: 7.500e-05, eta: 8:10:12, time: 0.195, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1985, decode.acc_seg: 91.8827, loss: 0.1985 +2023-03-04 03:39:11,544 - mmseg - INFO - Iter [36300/160000] lr: 7.500e-05, eta: 8:09:53, time: 0.193, data_time: 0.006, memory: 52540, decode.loss_ce: 0.2025, decode.acc_seg: 91.6847, loss: 0.2025 +2023-03-04 03:39:21,432 - mmseg - INFO - Iter [36350/160000] lr: 7.500e-05, eta: 8:09:34, time: 0.198, data_time: 0.006, memory: 52540, decode.loss_ce: 0.2027, decode.acc_seg: 91.7813, loss: 0.2027 +2023-03-04 03:39:31,011 - mmseg - INFO - Iter [36400/160000] lr: 7.500e-05, eta: 8:09:14, time: 0.192, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1934, decode.acc_seg: 92.0621, loss: 0.1934 +2023-03-04 03:39:40,761 - mmseg - INFO - Iter [36450/160000] lr: 7.500e-05, eta: 8:08:55, time: 0.195, data_time: 0.006, memory: 52540, decode.loss_ce: 0.1919, decode.acc_seg: 92.0848, loss: 0.1919 +2023-03-04 03:39:50,248 - mmseg - INFO - Iter [36500/160000] lr: 7.500e-05, eta: 8:08:35, time: 0.190, data_time: 0.006, memory: 52540, decode.loss_ce: 0.2008, decode.acc_seg: 91.8992, loss: 0.2008 +2023-03-04 03:40:00,038 - mmseg - INFO - Iter [36550/160000] lr: 7.500e-05, eta: 8:08:16, time: 0.196, data_time: 0.006, memory: 52540, decode.loss_ce: 0.2005, decode.acc_seg: 91.8296, loss: 0.2005 +2023-03-04 03:40:12,045 - mmseg - INFO - Iter [36600/160000] lr: 7.500e-05, eta: 8:08:05, time: 0.240, data_time: 0.053, memory: 52540, decode.loss_ce: 0.2093, decode.acc_seg: 91.3526, loss: 0.2093 +2023-03-04 03:40:21,687 - mmseg - INFO - Iter [36650/160000] lr: 7.500e-05, eta: 8:07:46, time: 0.193, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1998, decode.acc_seg: 91.7950, loss: 0.1998 +2023-03-04 03:40:31,158 - mmseg - INFO - Iter [36700/160000] lr: 7.500e-05, eta: 8:07:26, time: 0.189, data_time: 0.006, memory: 52540, decode.loss_ce: 0.1940, decode.acc_seg: 92.0329, loss: 0.1940 +2023-03-04 03:40:40,816 - mmseg - INFO - Iter [36750/160000] lr: 7.500e-05, eta: 8:07:06, time: 0.193, data_time: 0.006, memory: 52540, decode.loss_ce: 0.1981, decode.acc_seg: 91.8811, loss: 0.1981 +2023-03-04 03:40:50,523 - mmseg - INFO - Iter [36800/160000] lr: 7.500e-05, eta: 8:06:47, time: 0.194, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1987, decode.acc_seg: 91.8540, loss: 0.1987 +2023-03-04 03:41:00,640 - mmseg - INFO - Iter [36850/160000] lr: 7.500e-05, eta: 8:06:30, time: 0.202, data_time: 0.006, memory: 52540, decode.loss_ce: 0.2026, decode.acc_seg: 91.6925, loss: 0.2026 +2023-03-04 03:41:10,351 - mmseg - INFO - Iter [36900/160000] lr: 7.500e-05, eta: 8:06:11, time: 0.194, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1969, decode.acc_seg: 91.8813, loss: 0.1969 +2023-03-04 03:41:19,857 - mmseg - INFO - Iter [36950/160000] lr: 7.500e-05, eta: 8:05:51, time: 0.190, data_time: 0.006, memory: 52540, decode.loss_ce: 0.1967, decode.acc_seg: 91.9854, loss: 0.1967 +2023-03-04 03:41:30,278 - mmseg - INFO - Exp name: ablation_segformer_mit_b2_segformer_head_unet_fc_small_multi_step_ade_single_stage.py +2023-03-04 03:41:30,278 - mmseg - INFO - Iter [37000/160000] lr: 7.500e-05, eta: 8:05:35, time: 0.208, data_time: 0.007, memory: 52540, decode.loss_ce: 0.2097, decode.acc_seg: 91.3022, loss: 0.2097 +2023-03-04 03:41:40,350 - mmseg - INFO - Iter [37050/160000] lr: 7.500e-05, eta: 8:05:17, time: 0.201, data_time: 0.007, memory: 52540, decode.loss_ce: 0.2060, decode.acc_seg: 91.5534, loss: 0.2060 +2023-03-04 03:41:50,236 - mmseg - INFO - Iter [37100/160000] lr: 7.500e-05, eta: 8:04:59, time: 0.198, data_time: 0.007, memory: 52540, decode.loss_ce: 0.2020, decode.acc_seg: 91.6006, loss: 0.2020 +2023-03-04 03:41:59,944 - mmseg - INFO - Iter [37150/160000] lr: 7.500e-05, eta: 8:04:40, time: 0.194, data_time: 0.007, memory: 52540, decode.loss_ce: 0.2011, decode.acc_seg: 91.7184, loss: 0.2011 +2023-03-04 03:42:09,868 - mmseg - INFO - Iter [37200/160000] lr: 7.500e-05, eta: 8:04:22, time: 0.198, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1991, decode.acc_seg: 91.8377, loss: 0.1991 +2023-03-04 03:42:21,974 - mmseg - INFO - Iter [37250/160000] lr: 7.500e-05, eta: 8:04:11, time: 0.242, data_time: 0.054, memory: 52540, decode.loss_ce: 0.2002, decode.acc_seg: 91.7848, loss: 0.2002 +2023-03-04 03:42:31,654 - mmseg - INFO - Iter [37300/160000] lr: 7.500e-05, eta: 8:03:52, time: 0.194, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1982, decode.acc_seg: 91.8715, loss: 0.1982 +2023-03-04 03:42:41,119 - mmseg - INFO - Iter [37350/160000] lr: 7.500e-05, eta: 8:03:32, time: 0.189, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1972, decode.acc_seg: 91.9194, loss: 0.1972 +2023-03-04 03:42:50,794 - mmseg - INFO - Iter [37400/160000] lr: 7.500e-05, eta: 8:03:13, time: 0.193, data_time: 0.006, memory: 52540, decode.loss_ce: 0.1988, decode.acc_seg: 91.7347, loss: 0.1988 +2023-03-04 03:43:00,582 - mmseg - INFO - Iter [37450/160000] lr: 7.500e-05, eta: 8:02:55, time: 0.196, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1898, decode.acc_seg: 92.3799, loss: 0.1898 +2023-03-04 03:43:10,401 - mmseg - INFO - Iter [37500/160000] lr: 7.500e-05, eta: 8:02:36, time: 0.196, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1993, decode.acc_seg: 91.6386, loss: 0.1993 +2023-03-04 03:43:20,050 - mmseg - INFO - Iter [37550/160000] lr: 7.500e-05, eta: 8:02:17, time: 0.193, data_time: 0.006, memory: 52540, decode.loss_ce: 0.2064, decode.acc_seg: 91.5646, loss: 0.2064 +2023-03-04 03:43:29,557 - mmseg - INFO - Iter [37600/160000] lr: 7.500e-05, eta: 8:01:58, time: 0.190, data_time: 0.007, memory: 52540, decode.loss_ce: 0.2044, decode.acc_seg: 91.7406, loss: 0.2044 +2023-03-04 03:43:39,204 - mmseg - INFO - Iter [37650/160000] lr: 7.500e-05, eta: 8:01:39, time: 0.193, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1988, decode.acc_seg: 92.0070, loss: 0.1988 +2023-03-04 03:43:48,639 - mmseg - INFO - Iter [37700/160000] lr: 7.500e-05, eta: 8:01:20, time: 0.189, data_time: 0.006, memory: 52540, decode.loss_ce: 0.1978, decode.acc_seg: 91.8634, loss: 0.1978 +2023-03-04 03:43:58,075 - mmseg - INFO - Iter [37750/160000] lr: 7.500e-05, eta: 8:01:00, time: 0.189, data_time: 0.007, memory: 52540, decode.loss_ce: 0.2015, decode.acc_seg: 91.7868, loss: 0.2015 +2023-03-04 03:44:07,558 - mmseg - INFO - Iter [37800/160000] lr: 7.500e-05, eta: 8:00:41, time: 0.190, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1980, decode.acc_seg: 91.9506, loss: 0.1980 +2023-03-04 03:44:17,373 - mmseg - INFO - Iter [37850/160000] lr: 7.500e-05, eta: 8:00:23, time: 0.196, data_time: 0.006, memory: 52540, decode.loss_ce: 0.2068, decode.acc_seg: 91.5007, loss: 0.2068 +2023-03-04 03:44:29,509 - mmseg - INFO - Iter [37900/160000] lr: 7.500e-05, eta: 8:00:12, time: 0.243, data_time: 0.055, memory: 52540, decode.loss_ce: 0.1962, decode.acc_seg: 91.9716, loss: 0.1962 +2023-03-04 03:44:39,438 - mmseg - INFO - Iter [37950/160000] lr: 7.500e-05, eta: 7:59:54, time: 0.199, data_time: 0.006, memory: 52540, decode.loss_ce: 0.2040, decode.acc_seg: 91.7939, loss: 0.2040 +2023-03-04 03:44:48,973 - mmseg - INFO - Exp name: ablation_segformer_mit_b2_segformer_head_unet_fc_small_multi_step_ade_single_stage.py +2023-03-04 03:44:48,973 - mmseg - INFO - Iter [38000/160000] lr: 7.500e-05, eta: 7:59:35, time: 0.191, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1969, decode.acc_seg: 91.8879, loss: 0.1969 +2023-03-04 03:44:58,493 - mmseg - INFO - Iter [38050/160000] lr: 7.500e-05, eta: 7:59:16, time: 0.190, data_time: 0.006, memory: 52540, decode.loss_ce: 0.1998, decode.acc_seg: 91.8486, loss: 0.1998 +2023-03-04 03:45:07,999 - mmseg - INFO - Iter [38100/160000] lr: 7.500e-05, eta: 7:58:57, time: 0.190, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1957, decode.acc_seg: 91.9843, loss: 0.1957 +2023-03-04 03:45:17,555 - mmseg - INFO - Iter [38150/160000] lr: 7.500e-05, eta: 7:58:38, time: 0.191, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1969, decode.acc_seg: 91.9239, loss: 0.1969 +2023-03-04 03:45:27,271 - mmseg - INFO - Iter [38200/160000] lr: 7.500e-05, eta: 7:58:20, time: 0.194, data_time: 0.006, memory: 52540, decode.loss_ce: 0.1998, decode.acc_seg: 91.8675, loss: 0.1998 +2023-03-04 03:45:36,774 - mmseg - INFO - Iter [38250/160000] lr: 7.500e-05, eta: 7:58:01, time: 0.190, data_time: 0.006, memory: 52540, decode.loss_ce: 0.1978, decode.acc_seg: 91.8531, loss: 0.1978 +2023-03-04 03:45:46,260 - mmseg - INFO - Iter [38300/160000] lr: 7.500e-05, eta: 7:57:42, time: 0.190, data_time: 0.006, memory: 52540, decode.loss_ce: 0.2059, decode.acc_seg: 91.5881, loss: 0.2059 +2023-03-04 03:45:55,726 - mmseg - INFO - Iter [38350/160000] lr: 7.500e-05, eta: 7:57:22, time: 0.189, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1976, decode.acc_seg: 91.9910, loss: 0.1976 +2023-03-04 03:46:05,335 - mmseg - INFO - Iter [38400/160000] lr: 7.500e-05, eta: 7:57:04, time: 0.192, data_time: 0.007, memory: 52540, decode.loss_ce: 0.2008, decode.acc_seg: 91.7182, loss: 0.2008 +2023-03-04 03:46:14,887 - mmseg - INFO - Iter [38450/160000] lr: 7.500e-05, eta: 7:56:45, time: 0.191, data_time: 0.007, memory: 52540, decode.loss_ce: 0.2029, decode.acc_seg: 91.7350, loss: 0.2029 +2023-03-04 03:46:27,194 - mmseg - INFO - Iter [38500/160000] lr: 7.500e-05, eta: 7:56:35, time: 0.246, data_time: 0.055, memory: 52540, decode.loss_ce: 0.2005, decode.acc_seg: 91.9217, loss: 0.2005 +2023-03-04 03:46:36,995 - mmseg - INFO - Iter [38550/160000] lr: 7.500e-05, eta: 7:56:17, time: 0.196, data_time: 0.007, memory: 52540, decode.loss_ce: 0.2045, decode.acc_seg: 91.7757, loss: 0.2045 +2023-03-04 03:46:46,494 - mmseg - INFO - Iter [38600/160000] lr: 7.500e-05, eta: 7:55:58, time: 0.190, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1914, decode.acc_seg: 92.0318, loss: 0.1914 +2023-03-04 03:46:56,059 - mmseg - INFO - Iter [38650/160000] lr: 7.500e-05, eta: 7:55:39, time: 0.191, data_time: 0.006, memory: 52540, decode.loss_ce: 0.2034, decode.acc_seg: 91.7561, loss: 0.2034 +2023-03-04 03:47:05,570 - mmseg - INFO - Iter [38700/160000] lr: 7.500e-05, eta: 7:55:21, time: 0.190, data_time: 0.007, memory: 52540, decode.loss_ce: 0.2067, decode.acc_seg: 91.5945, loss: 0.2067 +2023-03-04 03:47:15,112 - mmseg - INFO - Iter [38750/160000] lr: 7.500e-05, eta: 7:55:02, time: 0.191, data_time: 0.007, memory: 52540, decode.loss_ce: 0.2058, decode.acc_seg: 91.6512, loss: 0.2058 +2023-03-04 03:47:24,523 - mmseg - INFO - Iter [38800/160000] lr: 7.500e-05, eta: 7:54:43, time: 0.188, data_time: 0.006, memory: 52540, decode.loss_ce: 0.2030, decode.acc_seg: 91.7232, loss: 0.2030 +2023-03-04 03:47:34,039 - mmseg - INFO - Iter [38850/160000] lr: 7.500e-05, eta: 7:54:24, time: 0.190, data_time: 0.006, memory: 52540, decode.loss_ce: 0.1997, decode.acc_seg: 91.8116, loss: 0.1997 +2023-03-04 03:47:43,484 - mmseg - INFO - Iter [38900/160000] lr: 7.500e-05, eta: 7:54:05, time: 0.189, data_time: 0.006, memory: 52540, decode.loss_ce: 0.2031, decode.acc_seg: 91.7339, loss: 0.2031 +2023-03-04 03:47:52,938 - mmseg - INFO - Iter [38950/160000] lr: 7.500e-05, eta: 7:53:46, time: 0.189, data_time: 0.007, memory: 52540, decode.loss_ce: 0.2018, decode.acc_seg: 91.6270, loss: 0.2018 +2023-03-04 03:48:02,582 - mmseg - INFO - Exp name: ablation_segformer_mit_b2_segformer_head_unet_fc_small_multi_step_ade_single_stage.py +2023-03-04 03:48:02,583 - mmseg - INFO - Iter [39000/160000] lr: 7.500e-05, eta: 7:53:28, time: 0.193, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1977, decode.acc_seg: 91.7339, loss: 0.1977 +2023-03-04 03:48:12,554 - mmseg - INFO - Iter [39050/160000] lr: 7.500e-05, eta: 7:53:11, time: 0.199, data_time: 0.006, memory: 52540, decode.loss_ce: 0.1947, decode.acc_seg: 91.9448, loss: 0.1947 +2023-03-04 03:48:22,240 - mmseg - INFO - Iter [39100/160000] lr: 7.500e-05, eta: 7:52:53, time: 0.194, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1945, decode.acc_seg: 91.9956, loss: 0.1945 +2023-03-04 03:48:34,478 - mmseg - INFO - Iter [39150/160000] lr: 7.500e-05, eta: 7:52:43, time: 0.245, data_time: 0.059, memory: 52540, decode.loss_ce: 0.2024, decode.acc_seg: 91.7860, loss: 0.2024 +2023-03-04 03:48:43,948 - mmseg - INFO - Iter [39200/160000] lr: 7.500e-05, eta: 7:52:24, time: 0.189, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1999, decode.acc_seg: 91.7330, loss: 0.1999 +2023-03-04 03:48:53,464 - mmseg - INFO - Iter [39250/160000] lr: 7.500e-05, eta: 7:52:05, time: 0.190, data_time: 0.006, memory: 52540, decode.loss_ce: 0.1944, decode.acc_seg: 91.9533, loss: 0.1944 +2023-03-04 03:49:03,123 - mmseg - INFO - Iter [39300/160000] lr: 7.500e-05, eta: 7:51:47, time: 0.193, data_time: 0.006, memory: 52540, decode.loss_ce: 0.1914, decode.acc_seg: 92.1100, loss: 0.1914 +2023-03-04 03:49:12,815 - mmseg - INFO - Iter [39350/160000] lr: 7.500e-05, eta: 7:51:29, time: 0.194, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1990, decode.acc_seg: 91.8589, loss: 0.1990 +2023-03-04 03:49:22,455 - mmseg - INFO - Iter [39400/160000] lr: 7.500e-05, eta: 7:51:11, time: 0.193, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1998, decode.acc_seg: 91.6926, loss: 0.1998 +2023-03-04 03:49:32,004 - mmseg - INFO - Iter [39450/160000] lr: 7.500e-05, eta: 7:50:53, time: 0.191, data_time: 0.007, memory: 52540, decode.loss_ce: 0.2043, decode.acc_seg: 91.7877, loss: 0.2043 +2023-03-04 03:49:41,557 - mmseg - INFO - Iter [39500/160000] lr: 7.500e-05, eta: 7:50:35, time: 0.191, data_time: 0.006, memory: 52540, decode.loss_ce: 0.2013, decode.acc_seg: 91.7460, loss: 0.2013 +2023-03-04 03:49:51,045 - mmseg - INFO - Iter [39550/160000] lr: 7.500e-05, eta: 7:50:16, time: 0.190, data_time: 0.006, memory: 52540, decode.loss_ce: 0.2039, decode.acc_seg: 91.6058, loss: 0.2039 +2023-03-04 03:50:00,763 - mmseg - INFO - Iter [39600/160000] lr: 7.500e-05, eta: 7:49:58, time: 0.194, data_time: 0.006, memory: 52540, decode.loss_ce: 0.2009, decode.acc_seg: 91.8138, loss: 0.2009 +2023-03-04 03:50:10,467 - mmseg - INFO - Iter [39650/160000] lr: 7.500e-05, eta: 7:49:40, time: 0.194, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1957, decode.acc_seg: 91.8917, loss: 0.1957 +2023-03-04 03:50:20,191 - mmseg - INFO - Iter [39700/160000] lr: 7.500e-05, eta: 7:49:23, time: 0.194, data_time: 0.007, memory: 52540, decode.loss_ce: 0.2059, decode.acc_seg: 91.7008, loss: 0.2059 +2023-03-04 03:50:29,894 - mmseg - INFO - Iter [39750/160000] lr: 7.500e-05, eta: 7:49:05, time: 0.194, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1949, decode.acc_seg: 91.9969, loss: 0.1949 +2023-03-04 03:50:42,071 - mmseg - INFO - Iter [39800/160000] lr: 7.500e-05, eta: 7:48:55, time: 0.244, data_time: 0.055, memory: 52540, decode.loss_ce: 0.1951, decode.acc_seg: 91.8631, loss: 0.1951 +2023-03-04 03:50:51,600 - mmseg - INFO - Iter [39850/160000] lr: 7.500e-05, eta: 7:48:36, time: 0.191, data_time: 0.007, memory: 52540, decode.loss_ce: 0.2030, decode.acc_seg: 91.7999, loss: 0.2030 +2023-03-04 03:51:01,470 - mmseg - INFO - Iter [39900/160000] lr: 7.500e-05, eta: 7:48:19, time: 0.197, data_time: 0.006, memory: 52540, decode.loss_ce: 0.1924, decode.acc_seg: 91.9581, loss: 0.1924 +2023-03-04 03:51:11,320 - mmseg - INFO - Iter [39950/160000] lr: 7.500e-05, eta: 7:48:02, time: 0.197, data_time: 0.007, memory: 52540, decode.loss_ce: 0.2040, decode.acc_seg: 91.7429, loss: 0.2040 +2023-03-04 03:51:20,925 - mmseg - INFO - Exp name: ablation_segformer_mit_b2_segformer_head_unet_fc_small_multi_step_ade_single_stage.py +2023-03-04 03:51:20,925 - mmseg - INFO - Iter [40000/160000] lr: 7.500e-05, eta: 7:47:44, time: 0.192, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1935, decode.acc_seg: 91.9130, loss: 0.1935 +2023-03-04 03:51:30,434 - mmseg - INFO - Iter [40050/160000] lr: 3.750e-05, eta: 7:47:26, time: 0.190, data_time: 0.007, memory: 52540, decode.loss_ce: 0.2080, decode.acc_seg: 91.6295, loss: 0.2080 +2023-03-04 03:51:40,168 - mmseg - INFO - Iter [40100/160000] lr: 3.750e-05, eta: 7:47:08, time: 0.195, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1963, decode.acc_seg: 91.9070, loss: 0.1963 +2023-03-04 03:51:49,807 - mmseg - INFO - Iter [40150/160000] lr: 3.750e-05, eta: 7:46:50, time: 0.193, data_time: 0.006, memory: 52540, decode.loss_ce: 0.1930, decode.acc_seg: 92.0465, loss: 0.1930 +2023-03-04 03:51:59,383 - mmseg - INFO - Iter [40200/160000] lr: 3.750e-05, eta: 7:46:32, time: 0.192, data_time: 0.006, memory: 52540, decode.loss_ce: 0.2013, decode.acc_seg: 91.7620, loss: 0.2013 +2023-03-04 03:52:08,931 - mmseg - INFO - Iter [40250/160000] lr: 3.750e-05, eta: 7:46:14, time: 0.191, data_time: 0.006, memory: 52540, decode.loss_ce: 0.1917, decode.acc_seg: 92.0813, loss: 0.1917 +2023-03-04 03:52:18,646 - mmseg - INFO - Iter [40300/160000] lr: 3.750e-05, eta: 7:45:57, time: 0.194, data_time: 0.007, memory: 52540, decode.loss_ce: 0.2017, decode.acc_seg: 91.7948, loss: 0.2017 +2023-03-04 03:52:28,172 - mmseg - INFO - Iter [40350/160000] lr: 3.750e-05, eta: 7:45:39, time: 0.191, data_time: 0.007, memory: 52540, decode.loss_ce: 0.2019, decode.acc_seg: 91.6987, loss: 0.2019 +2023-03-04 03:52:40,346 - mmseg - INFO - Iter [40400/160000] lr: 3.750e-05, eta: 7:45:29, time: 0.243, data_time: 0.054, memory: 52540, decode.loss_ce: 0.1876, decode.acc_seg: 92.2677, loss: 0.1876 +2023-03-04 03:52:49,897 - mmseg - INFO - Iter [40450/160000] lr: 3.750e-05, eta: 7:45:11, time: 0.191, data_time: 0.006, memory: 52540, decode.loss_ce: 0.2003, decode.acc_seg: 91.8610, loss: 0.2003 +2023-03-04 03:52:59,685 - mmseg - INFO - Iter [40500/160000] lr: 3.750e-05, eta: 7:44:53, time: 0.196, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1887, decode.acc_seg: 92.3491, loss: 0.1887 +2023-03-04 03:53:09,411 - mmseg - INFO - Iter [40550/160000] lr: 3.750e-05, eta: 7:44:36, time: 0.195, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1910, decode.acc_seg: 92.0866, loss: 0.1910 +2023-03-04 03:53:19,033 - mmseg - INFO - Iter [40600/160000] lr: 3.750e-05, eta: 7:44:18, time: 0.192, data_time: 0.006, memory: 52540, decode.loss_ce: 0.1989, decode.acc_seg: 91.7815, loss: 0.1989 +2023-03-04 03:53:28,598 - mmseg - INFO - Iter [40650/160000] lr: 3.750e-05, eta: 7:44:01, time: 0.191, data_time: 0.006, memory: 52540, decode.loss_ce: 0.1783, decode.acc_seg: 92.6920, loss: 0.1783 +2023-03-04 03:53:38,238 - mmseg - INFO - Iter [40700/160000] lr: 3.750e-05, eta: 7:43:43, time: 0.193, data_time: 0.006, memory: 52540, decode.loss_ce: 0.1995, decode.acc_seg: 91.8422, loss: 0.1995 +2023-03-04 03:53:47,779 - mmseg - INFO - Iter [40750/160000] lr: 3.750e-05, eta: 7:43:25, time: 0.191, data_time: 0.006, memory: 52540, decode.loss_ce: 0.1938, decode.acc_seg: 92.0008, loss: 0.1938 +2023-03-04 03:53:57,301 - mmseg - INFO - Iter [40800/160000] lr: 3.750e-05, eta: 7:43:07, time: 0.190, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1984, decode.acc_seg: 91.8742, loss: 0.1984 +2023-03-04 03:54:06,845 - mmseg - INFO - Iter [40850/160000] lr: 3.750e-05, eta: 7:42:49, time: 0.191, data_time: 0.006, memory: 52540, decode.loss_ce: 0.1989, decode.acc_seg: 91.7011, loss: 0.1989 +2023-03-04 03:54:16,399 - mmseg - INFO - Iter [40900/160000] lr: 3.750e-05, eta: 7:42:32, time: 0.191, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1999, decode.acc_seg: 91.8893, loss: 0.1999 +2023-03-04 03:54:26,075 - mmseg - INFO - Iter [40950/160000] lr: 3.750e-05, eta: 7:42:14, time: 0.194, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1920, decode.acc_seg: 92.1723, loss: 0.1920 +2023-03-04 03:54:35,496 - mmseg - INFO - Exp name: ablation_segformer_mit_b2_segformer_head_unet_fc_small_multi_step_ade_single_stage.py +2023-03-04 03:54:35,496 - mmseg - INFO - Iter [41000/160000] lr: 3.750e-05, eta: 7:41:56, time: 0.188, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1918, decode.acc_seg: 92.1477, loss: 0.1918 +2023-03-04 03:54:47,686 - mmseg - INFO - Iter [41050/160000] lr: 3.750e-05, eta: 7:41:46, time: 0.244, data_time: 0.054, memory: 52540, decode.loss_ce: 0.1956, decode.acc_seg: 91.9820, loss: 0.1956 +2023-03-04 03:54:57,211 - mmseg - INFO - Iter [41100/160000] lr: 3.750e-05, eta: 7:41:28, time: 0.191, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1981, decode.acc_seg: 91.8731, loss: 0.1981 +2023-03-04 03:55:06,915 - mmseg - INFO - Iter [41150/160000] lr: 3.750e-05, eta: 7:41:11, time: 0.194, data_time: 0.006, memory: 52540, decode.loss_ce: 0.2000, decode.acc_seg: 91.7716, loss: 0.2000 +2023-03-04 03:55:16,809 - mmseg - INFO - Iter [41200/160000] lr: 3.750e-05, eta: 7:40:54, time: 0.198, data_time: 0.007, memory: 52540, decode.loss_ce: 0.2016, decode.acc_seg: 91.7642, loss: 0.2016 +2023-03-04 03:55:26,492 - mmseg - INFO - Iter [41250/160000] lr: 3.750e-05, eta: 7:40:37, time: 0.194, data_time: 0.006, memory: 52540, decode.loss_ce: 0.2019, decode.acc_seg: 91.8325, loss: 0.2019 +2023-03-04 03:55:35,950 - mmseg - INFO - Iter [41300/160000] lr: 3.750e-05, eta: 7:40:19, time: 0.189, data_time: 0.006, memory: 52540, decode.loss_ce: 0.1936, decode.acc_seg: 92.0482, loss: 0.1936 +2023-03-04 03:55:45,595 - mmseg - INFO - Iter [41350/160000] lr: 3.750e-05, eta: 7:40:02, time: 0.193, data_time: 0.006, memory: 52540, decode.loss_ce: 0.1939, decode.acc_seg: 92.0461, loss: 0.1939 +2023-03-04 03:55:55,253 - mmseg - INFO - Iter [41400/160000] lr: 3.750e-05, eta: 7:39:44, time: 0.193, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1964, decode.acc_seg: 92.0195, loss: 0.1964 +2023-03-04 03:56:04,813 - mmseg - INFO - Iter [41450/160000] lr: 3.750e-05, eta: 7:39:27, time: 0.191, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1880, decode.acc_seg: 92.1981, loss: 0.1880 +2023-03-04 03:56:14,374 - mmseg - INFO - Iter [41500/160000] lr: 3.750e-05, eta: 7:39:09, time: 0.191, data_time: 0.006, memory: 52540, decode.loss_ce: 0.1938, decode.acc_seg: 92.1760, loss: 0.1938 +2023-03-04 03:56:24,020 - mmseg - INFO - Iter [41550/160000] lr: 3.750e-05, eta: 7:38:52, time: 0.193, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1853, decode.acc_seg: 92.4109, loss: 0.1853 +2023-03-04 03:56:33,712 - mmseg - INFO - Iter [41600/160000] lr: 3.750e-05, eta: 7:38:35, time: 0.194, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1913, decode.acc_seg: 92.2399, loss: 0.1913 +2023-03-04 03:56:45,835 - mmseg - INFO - Iter [41650/160000] lr: 3.750e-05, eta: 7:38:25, time: 0.242, data_time: 0.057, memory: 52540, decode.loss_ce: 0.1975, decode.acc_seg: 91.7678, loss: 0.1975 +2023-03-04 03:56:55,508 - mmseg - INFO - Iter [41700/160000] lr: 3.750e-05, eta: 7:38:08, time: 0.193, data_time: 0.006, memory: 52540, decode.loss_ce: 0.1912, decode.acc_seg: 92.0138, loss: 0.1912 +2023-03-04 03:57:05,007 - mmseg - INFO - Iter [41750/160000] lr: 3.750e-05, eta: 7:37:50, time: 0.190, data_time: 0.006, memory: 52540, decode.loss_ce: 0.1933, decode.acc_seg: 91.9674, loss: 0.1933 +2023-03-04 03:57:14,675 - mmseg - INFO - Iter [41800/160000] lr: 3.750e-05, eta: 7:37:33, time: 0.193, data_time: 0.006, memory: 52540, decode.loss_ce: 0.1881, decode.acc_seg: 92.3280, loss: 0.1881 +2023-03-04 03:57:24,393 - mmseg - INFO - Iter [41850/160000] lr: 3.750e-05, eta: 7:37:16, time: 0.194, data_time: 0.006, memory: 52540, decode.loss_ce: 0.2004, decode.acc_seg: 91.6563, loss: 0.2004 +2023-03-04 03:57:34,003 - mmseg - INFO - Iter [41900/160000] lr: 3.750e-05, eta: 7:36:59, time: 0.192, data_time: 0.006, memory: 52540, decode.loss_ce: 0.1949, decode.acc_seg: 92.1185, loss: 0.1949 +2023-03-04 03:57:44,176 - mmseg - INFO - Iter [41950/160000] lr: 3.750e-05, eta: 7:36:43, time: 0.203, data_time: 0.006, memory: 52540, decode.loss_ce: 0.1971, decode.acc_seg: 91.9220, loss: 0.1971 +2023-03-04 03:57:53,894 - mmseg - INFO - Exp name: ablation_segformer_mit_b2_segformer_head_unet_fc_small_multi_step_ade_single_stage.py +2023-03-04 03:57:53,894 - mmseg - INFO - Iter [42000/160000] lr: 3.750e-05, eta: 7:36:26, time: 0.194, data_time: 0.006, memory: 52540, decode.loss_ce: 0.1898, decode.acc_seg: 92.1640, loss: 0.1898 +2023-03-04 03:58:03,711 - mmseg - INFO - Iter [42050/160000] lr: 3.750e-05, eta: 7:36:10, time: 0.196, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1908, decode.acc_seg: 92.0968, loss: 0.1908 +2023-03-04 03:58:13,470 - mmseg - INFO - Iter [42100/160000] lr: 3.750e-05, eta: 7:35:53, time: 0.195, data_time: 0.006, memory: 52540, decode.loss_ce: 0.1935, decode.acc_seg: 91.9774, loss: 0.1935 +2023-03-04 03:58:23,061 - mmseg - INFO - Iter [42150/160000] lr: 3.750e-05, eta: 7:35:36, time: 0.192, data_time: 0.006, memory: 52540, decode.loss_ce: 0.1986, decode.acc_seg: 91.9251, loss: 0.1986 +2023-03-04 03:58:32,624 - mmseg - INFO - Iter [42200/160000] lr: 3.750e-05, eta: 7:35:18, time: 0.191, data_time: 0.007, memory: 52540, decode.loss_ce: 0.2001, decode.acc_seg: 91.9265, loss: 0.2001 +2023-03-04 03:58:42,325 - mmseg - INFO - Iter [42250/160000] lr: 3.750e-05, eta: 7:35:01, time: 0.194, data_time: 0.006, memory: 52540, decode.loss_ce: 0.1978, decode.acc_seg: 91.9914, loss: 0.1978 +2023-03-04 03:58:54,580 - mmseg - INFO - Iter [42300/160000] lr: 3.750e-05, eta: 7:34:52, time: 0.245, data_time: 0.054, memory: 52540, decode.loss_ce: 0.2024, decode.acc_seg: 91.8432, loss: 0.2024 +2023-03-04 03:59:04,586 - mmseg - INFO - Iter [42350/160000] lr: 3.750e-05, eta: 7:34:36, time: 0.200, data_time: 0.007, memory: 52540, decode.loss_ce: 0.2000, decode.acc_seg: 91.7560, loss: 0.2000 +2023-03-04 03:59:14,808 - mmseg - INFO - Iter [42400/160000] lr: 3.750e-05, eta: 7:34:20, time: 0.204, data_time: 0.006, memory: 52540, decode.loss_ce: 0.1913, decode.acc_seg: 92.0989, loss: 0.1913 +2023-03-04 03:59:24,623 - mmseg - INFO - Iter [42450/160000] lr: 3.750e-05, eta: 7:34:04, time: 0.197, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1987, decode.acc_seg: 91.8289, loss: 0.1987 +2023-03-04 03:59:34,361 - mmseg - INFO - Iter [42500/160000] lr: 3.750e-05, eta: 7:33:47, time: 0.195, data_time: 0.006, memory: 52540, decode.loss_ce: 0.1900, decode.acc_seg: 92.1908, loss: 0.1900 +2023-03-04 03:59:43,954 - mmseg - INFO - Iter [42550/160000] lr: 3.750e-05, eta: 7:33:30, time: 0.192, data_time: 0.006, memory: 52540, decode.loss_ce: 0.1906, decode.acc_seg: 92.2482, loss: 0.1906 +2023-03-04 03:59:54,111 - mmseg - INFO - Iter [42600/160000] lr: 3.750e-05, eta: 7:33:14, time: 0.203, data_time: 0.006, memory: 52540, decode.loss_ce: 0.1969, decode.acc_seg: 91.9705, loss: 0.1969 +2023-03-04 04:00:03,866 - mmseg - INFO - Iter [42650/160000] lr: 3.750e-05, eta: 7:32:58, time: 0.195, data_time: 0.006, memory: 52540, decode.loss_ce: 0.2001, decode.acc_seg: 91.9912, loss: 0.2001 +2023-03-04 04:00:13,400 - mmseg - INFO - Iter [42700/160000] lr: 3.750e-05, eta: 7:32:41, time: 0.191, data_time: 0.006, memory: 52540, decode.loss_ce: 0.1948, decode.acc_seg: 91.9373, loss: 0.1948 +2023-03-04 04:00:22,914 - mmseg - INFO - Iter [42750/160000] lr: 3.750e-05, eta: 7:32:23, time: 0.190, data_time: 0.006, memory: 52540, decode.loss_ce: 0.1949, decode.acc_seg: 91.9546, loss: 0.1949 +2023-03-04 04:00:32,617 - mmseg - INFO - Iter [42800/160000] lr: 3.750e-05, eta: 7:32:07, time: 0.194, data_time: 0.006, memory: 52540, decode.loss_ce: 0.1907, decode.acc_seg: 92.1506, loss: 0.1907 +2023-03-04 04:00:42,213 - mmseg - INFO - Iter [42850/160000] lr: 3.750e-05, eta: 7:31:50, time: 0.192, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1951, decode.acc_seg: 92.0264, loss: 0.1951 +2023-03-04 04:00:51,648 - mmseg - INFO - Iter [42900/160000] lr: 3.750e-05, eta: 7:31:32, time: 0.189, data_time: 0.006, memory: 52540, decode.loss_ce: 0.2036, decode.acc_seg: 91.8245, loss: 0.2036 +2023-03-04 04:01:03,866 - mmseg - INFO - Iter [42950/160000] lr: 3.750e-05, eta: 7:31:22, time: 0.244, data_time: 0.054, memory: 52540, decode.loss_ce: 0.1932, decode.acc_seg: 92.0320, loss: 0.1932 +2023-03-04 04:01:13,382 - mmseg - INFO - Exp name: ablation_segformer_mit_b2_segformer_head_unet_fc_small_multi_step_ade_single_stage.py +2023-03-04 04:01:13,382 - mmseg - INFO - Iter [43000/160000] lr: 3.750e-05, eta: 7:31:05, time: 0.190, data_time: 0.006, memory: 52540, decode.loss_ce: 0.1960, decode.acc_seg: 91.9404, loss: 0.1960 +2023-03-04 04:01:23,112 - mmseg - INFO - Iter [43050/160000] lr: 3.750e-05, eta: 7:30:49, time: 0.195, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1950, decode.acc_seg: 91.9666, loss: 0.1950 +2023-03-04 04:01:32,913 - mmseg - INFO - Iter [43100/160000] lr: 3.750e-05, eta: 7:30:32, time: 0.196, data_time: 0.006, memory: 52540, decode.loss_ce: 0.1968, decode.acc_seg: 92.0372, loss: 0.1968 +2023-03-04 04:01:42,798 - mmseg - INFO - Iter [43150/160000] lr: 3.750e-05, eta: 7:30:16, time: 0.198, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1978, decode.acc_seg: 92.1616, loss: 0.1978 +2023-03-04 04:01:52,476 - mmseg - INFO - Iter [43200/160000] lr: 3.750e-05, eta: 7:30:00, time: 0.194, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1962, decode.acc_seg: 92.0258, loss: 0.1962 +2023-03-04 04:02:01,953 - mmseg - INFO - Iter [43250/160000] lr: 3.750e-05, eta: 7:29:42, time: 0.189, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1892, decode.acc_seg: 92.2277, loss: 0.1892 +2023-03-04 04:02:11,492 - mmseg - INFO - Iter [43300/160000] lr: 3.750e-05, eta: 7:29:26, time: 0.191, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1997, decode.acc_seg: 91.8451, loss: 0.1997 +2023-03-04 04:02:21,019 - mmseg - INFO - Iter [43350/160000] lr: 3.750e-05, eta: 7:29:09, time: 0.191, data_time: 0.006, memory: 52540, decode.loss_ce: 0.1963, decode.acc_seg: 91.9991, loss: 0.1963 +2023-03-04 04:02:30,794 - mmseg - INFO - Iter [43400/160000] lr: 3.750e-05, eta: 7:28:52, time: 0.195, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1974, decode.acc_seg: 91.7708, loss: 0.1974 +2023-03-04 04:02:40,404 - mmseg - INFO - Iter [43450/160000] lr: 3.750e-05, eta: 7:28:35, time: 0.192, data_time: 0.006, memory: 52540, decode.loss_ce: 0.1976, decode.acc_seg: 91.9142, loss: 0.1976 +2023-03-04 04:02:49,965 - mmseg - INFO - Iter [43500/160000] lr: 3.750e-05, eta: 7:28:19, time: 0.191, data_time: 0.006, memory: 52540, decode.loss_ce: 0.1904, decode.acc_seg: 92.0399, loss: 0.1904 +2023-03-04 04:03:02,392 - mmseg - INFO - Iter [43550/160000] lr: 3.750e-05, eta: 7:28:09, time: 0.249, data_time: 0.056, memory: 52540, decode.loss_ce: 0.1960, decode.acc_seg: 91.9567, loss: 0.1960 +2023-03-04 04:03:12,495 - mmseg - INFO - Iter [43600/160000] lr: 3.750e-05, eta: 7:27:54, time: 0.202, data_time: 0.006, memory: 52540, decode.loss_ce: 0.1997, decode.acc_seg: 91.7460, loss: 0.1997 +2023-03-04 04:03:22,035 - mmseg - INFO - Iter [43650/160000] lr: 3.750e-05, eta: 7:27:37, time: 0.191, data_time: 0.006, memory: 52540, decode.loss_ce: 0.1868, decode.acc_seg: 92.2800, loss: 0.1868 +2023-03-04 04:03:31,820 - mmseg - INFO - Iter [43700/160000] lr: 3.750e-05, eta: 7:27:21, time: 0.196, data_time: 0.006, memory: 52540, decode.loss_ce: 0.1984, decode.acc_seg: 91.7974, loss: 0.1984 +2023-03-04 04:03:41,521 - mmseg - INFO - Iter [43750/160000] lr: 3.750e-05, eta: 7:27:04, time: 0.194, data_time: 0.006, memory: 52540, decode.loss_ce: 0.1933, decode.acc_seg: 92.1133, loss: 0.1933 +2023-03-04 04:03:51,018 - mmseg - INFO - Iter [43800/160000] lr: 3.750e-05, eta: 7:26:47, time: 0.190, data_time: 0.006, memory: 52540, decode.loss_ce: 0.1878, decode.acc_seg: 92.2279, loss: 0.1878 +2023-03-04 04:04:00,529 - mmseg - INFO - Iter [43850/160000] lr: 3.750e-05, eta: 7:26:31, time: 0.190, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1987, decode.acc_seg: 91.8963, loss: 0.1987 +2023-03-04 04:04:10,129 - mmseg - INFO - Iter [43900/160000] lr: 3.750e-05, eta: 7:26:14, time: 0.192, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1907, decode.acc_seg: 92.0987, loss: 0.1907 +2023-03-04 04:04:20,352 - mmseg - INFO - Iter [43950/160000] lr: 3.750e-05, eta: 7:25:59, time: 0.204, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1929, decode.acc_seg: 92.1660, loss: 0.1929 +2023-03-04 04:04:29,922 - mmseg - INFO - Exp name: ablation_segformer_mit_b2_segformer_head_unet_fc_small_multi_step_ade_single_stage.py +2023-03-04 04:04:29,922 - mmseg - INFO - Iter [44000/160000] lr: 3.750e-05, eta: 7:25:42, time: 0.191, data_time: 0.006, memory: 52540, decode.loss_ce: 0.1875, decode.acc_seg: 92.2294, loss: 0.1875 +2023-03-04 04:04:39,699 - mmseg - INFO - Iter [44050/160000] lr: 3.750e-05, eta: 7:25:26, time: 0.196, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1952, decode.acc_seg: 91.9807, loss: 0.1952 +2023-03-04 04:04:49,270 - mmseg - INFO - Iter [44100/160000] lr: 3.750e-05, eta: 7:25:09, time: 0.191, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1907, decode.acc_seg: 92.3129, loss: 0.1907 +2023-03-04 04:04:59,316 - mmseg - INFO - Iter [44150/160000] lr: 3.750e-05, eta: 7:24:54, time: 0.201, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1974, decode.acc_seg: 91.8044, loss: 0.1974 +2023-03-04 04:05:11,556 - mmseg - INFO - Iter [44200/160000] lr: 3.750e-05, eta: 7:24:44, time: 0.245, data_time: 0.055, memory: 52540, decode.loss_ce: 0.1914, decode.acc_seg: 92.1263, loss: 0.1914 +2023-03-04 04:05:21,052 - mmseg - INFO - Iter [44250/160000] lr: 3.750e-05, eta: 7:24:28, time: 0.190, data_time: 0.006, memory: 52540, decode.loss_ce: 0.1905, decode.acc_seg: 92.0158, loss: 0.1905 +2023-03-04 04:05:30,603 - mmseg - INFO - Iter [44300/160000] lr: 3.750e-05, eta: 7:24:11, time: 0.191, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1936, decode.acc_seg: 91.9709, loss: 0.1936 +2023-03-04 04:05:40,411 - mmseg - INFO - Iter [44350/160000] lr: 3.750e-05, eta: 7:23:55, time: 0.196, data_time: 0.007, memory: 52540, decode.loss_ce: 0.2049, decode.acc_seg: 91.7295, loss: 0.2049 +2023-03-04 04:05:50,105 - mmseg - INFO - Iter [44400/160000] lr: 3.750e-05, eta: 7:23:39, time: 0.194, data_time: 0.006, memory: 52540, decode.loss_ce: 0.2038, decode.acc_seg: 91.5578, loss: 0.2038 +2023-03-04 04:05:59,565 - mmseg - INFO - Iter [44450/160000] lr: 3.750e-05, eta: 7:23:22, time: 0.189, data_time: 0.006, memory: 52540, decode.loss_ce: 0.1950, decode.acc_seg: 92.0156, loss: 0.1950 +2023-03-04 04:06:09,114 - mmseg - INFO - Iter [44500/160000] lr: 3.750e-05, eta: 7:23:05, time: 0.191, data_time: 0.006, memory: 52540, decode.loss_ce: 0.1930, decode.acc_seg: 92.1231, loss: 0.1930 +2023-03-04 04:06:18,914 - mmseg - INFO - Iter [44550/160000] lr: 3.750e-05, eta: 7:22:49, time: 0.196, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1902, decode.acc_seg: 92.1486, loss: 0.1902 +2023-03-04 04:06:28,706 - mmseg - INFO - Iter [44600/160000] lr: 3.750e-05, eta: 7:22:33, time: 0.196, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1896, decode.acc_seg: 92.1421, loss: 0.1896 +2023-03-04 04:06:38,398 - mmseg - INFO - Iter [44650/160000] lr: 3.750e-05, eta: 7:22:17, time: 0.194, data_time: 0.006, memory: 52540, decode.loss_ce: 0.2040, decode.acc_seg: 91.9120, loss: 0.2040 +2023-03-04 04:06:48,216 - mmseg - INFO - Iter [44700/160000] lr: 3.750e-05, eta: 7:22:01, time: 0.196, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1903, decode.acc_seg: 92.3197, loss: 0.1903 +2023-03-04 04:06:57,802 - mmseg - INFO - Iter [44750/160000] lr: 3.750e-05, eta: 7:21:45, time: 0.192, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1950, decode.acc_seg: 91.9294, loss: 0.1950 +2023-03-04 04:07:07,413 - mmseg - INFO - Iter [44800/160000] lr: 3.750e-05, eta: 7:21:29, time: 0.192, data_time: 0.006, memory: 52540, decode.loss_ce: 0.1893, decode.acc_seg: 92.0135, loss: 0.1893 +2023-03-04 04:07:19,422 - mmseg - INFO - Iter [44850/160000] lr: 3.750e-05, eta: 7:21:18, time: 0.240, data_time: 0.055, memory: 52540, decode.loss_ce: 0.1919, decode.acc_seg: 92.1045, loss: 0.1919 +2023-03-04 04:07:28,972 - mmseg - INFO - Iter [44900/160000] lr: 3.750e-05, eta: 7:21:02, time: 0.191, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1998, decode.acc_seg: 91.6414, loss: 0.1998 +2023-03-04 04:07:38,654 - mmseg - INFO - Iter [44950/160000] lr: 3.750e-05, eta: 7:20:46, time: 0.194, data_time: 0.006, memory: 52540, decode.loss_ce: 0.1986, decode.acc_seg: 91.8173, loss: 0.1986 +2023-03-04 04:07:48,344 - mmseg - INFO - Exp name: ablation_segformer_mit_b2_segformer_head_unet_fc_small_multi_step_ade_single_stage.py +2023-03-04 04:07:48,345 - mmseg - INFO - Iter [45000/160000] lr: 3.750e-05, eta: 7:20:30, time: 0.194, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1870, decode.acc_seg: 92.1693, loss: 0.1870 +2023-03-04 04:07:57,928 - mmseg - INFO - Iter [45050/160000] lr: 3.750e-05, eta: 7:20:13, time: 0.192, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1977, decode.acc_seg: 92.0004, loss: 0.1977 +2023-03-04 04:08:07,442 - mmseg - INFO - Iter [45100/160000] lr: 3.750e-05, eta: 7:19:57, time: 0.190, data_time: 0.006, memory: 52540, decode.loss_ce: 0.1924, decode.acc_seg: 92.1432, loss: 0.1924 +2023-03-04 04:08:17,161 - mmseg - INFO - Iter [45150/160000] lr: 3.750e-05, eta: 7:19:41, time: 0.195, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1936, decode.acc_seg: 92.2768, loss: 0.1936 +2023-03-04 04:08:26,763 - mmseg - INFO - Iter [45200/160000] lr: 3.750e-05, eta: 7:19:24, time: 0.192, data_time: 0.007, memory: 52540, decode.loss_ce: 0.2007, decode.acc_seg: 91.9101, loss: 0.2007 +2023-03-04 04:08:36,586 - mmseg - INFO - Iter [45250/160000] lr: 3.750e-05, eta: 7:19:09, time: 0.196, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1883, decode.acc_seg: 92.2221, loss: 0.1883 +2023-03-04 04:08:46,101 - mmseg - INFO - Iter [45300/160000] lr: 3.750e-05, eta: 7:18:52, time: 0.191, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1996, decode.acc_seg: 91.8440, loss: 0.1996 +2023-03-04 04:08:55,646 - mmseg - INFO - Iter [45350/160000] lr: 3.750e-05, eta: 7:18:36, time: 0.191, data_time: 0.006, memory: 52540, decode.loss_ce: 0.1911, decode.acc_seg: 92.0809, loss: 0.1911 +2023-03-04 04:09:05,073 - mmseg - INFO - Iter [45400/160000] lr: 3.750e-05, eta: 7:18:19, time: 0.189, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1924, decode.acc_seg: 92.1148, loss: 0.1924 +2023-03-04 04:09:17,236 - mmseg - INFO - Iter [45450/160000] lr: 3.750e-05, eta: 7:18:10, time: 0.243, data_time: 0.055, memory: 52540, decode.loss_ce: 0.1999, decode.acc_seg: 91.8407, loss: 0.1999 +2023-03-04 04:09:26,951 - mmseg - INFO - Iter [45500/160000] lr: 3.750e-05, eta: 7:17:54, time: 0.194, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1963, decode.acc_seg: 91.8009, loss: 0.1963 +2023-03-04 04:09:36,582 - mmseg - INFO - Iter [45550/160000] lr: 3.750e-05, eta: 7:17:38, time: 0.193, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1952, decode.acc_seg: 91.9863, loss: 0.1952 +2023-03-04 04:09:46,216 - mmseg - INFO - Iter [45600/160000] lr: 3.750e-05, eta: 7:17:21, time: 0.193, data_time: 0.006, memory: 52540, decode.loss_ce: 0.1951, decode.acc_seg: 92.0611, loss: 0.1951 +2023-03-04 04:09:55,821 - mmseg - INFO - Iter [45650/160000] lr: 3.750e-05, eta: 7:17:05, time: 0.192, data_time: 0.007, memory: 52540, decode.loss_ce: 0.2026, decode.acc_seg: 91.9519, loss: 0.2026 +2023-03-04 04:10:05,491 - mmseg - INFO - Iter [45700/160000] lr: 3.750e-05, eta: 7:16:49, time: 0.193, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1924, decode.acc_seg: 92.0940, loss: 0.1924 +2023-03-04 04:10:15,201 - mmseg - INFO - Iter [45750/160000] lr: 3.750e-05, eta: 7:16:34, time: 0.194, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1933, decode.acc_seg: 92.1595, loss: 0.1933 +2023-03-04 04:10:24,660 - mmseg - INFO - Iter [45800/160000] lr: 3.750e-05, eta: 7:16:17, time: 0.189, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1931, decode.acc_seg: 91.9860, loss: 0.1931 +2023-03-04 04:10:34,543 - mmseg - INFO - Iter [45850/160000] lr: 3.750e-05, eta: 7:16:02, time: 0.198, data_time: 0.006, memory: 52540, decode.loss_ce: 0.1947, decode.acc_seg: 91.9150, loss: 0.1947 +2023-03-04 04:10:44,143 - mmseg - INFO - Iter [45900/160000] lr: 3.750e-05, eta: 7:15:46, time: 0.192, data_time: 0.007, memory: 52540, decode.loss_ce: 0.2002, decode.acc_seg: 91.8790, loss: 0.2002 +2023-03-04 04:10:53,755 - mmseg - INFO - Iter [45950/160000] lr: 3.750e-05, eta: 7:15:30, time: 0.192, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1911, decode.acc_seg: 92.0916, loss: 0.1911 +2023-03-04 04:11:03,506 - mmseg - INFO - Exp name: ablation_segformer_mit_b2_segformer_head_unet_fc_small_multi_step_ade_single_stage.py +2023-03-04 04:11:03,507 - mmseg - INFO - Iter [46000/160000] lr: 3.750e-05, eta: 7:15:14, time: 0.195, data_time: 0.006, memory: 52540, decode.loss_ce: 0.2052, decode.acc_seg: 91.5454, loss: 0.2052 +2023-03-04 04:11:13,055 - mmseg - INFO - Iter [46050/160000] lr: 3.750e-05, eta: 7:14:58, time: 0.191, data_time: 0.006, memory: 52540, decode.loss_ce: 0.2009, decode.acc_seg: 91.8820, loss: 0.2009 +2023-03-04 04:11:25,040 - mmseg - INFO - Iter [46100/160000] lr: 3.750e-05, eta: 7:14:48, time: 0.240, data_time: 0.053, memory: 52540, decode.loss_ce: 0.1912, decode.acc_seg: 92.1648, loss: 0.1912 +2023-03-04 04:11:34,572 - mmseg - INFO - Iter [46150/160000] lr: 3.750e-05, eta: 7:14:31, time: 0.191, data_time: 0.006, memory: 52540, decode.loss_ce: 0.1971, decode.acc_seg: 91.9360, loss: 0.1971 +2023-03-04 04:11:44,486 - mmseg - INFO - Iter [46200/160000] lr: 3.750e-05, eta: 7:14:16, time: 0.198, data_time: 0.006, memory: 52540, decode.loss_ce: 0.1923, decode.acc_seg: 92.0947, loss: 0.1923 +2023-03-04 04:11:54,147 - mmseg - INFO - Iter [46250/160000] lr: 3.750e-05, eta: 7:14:00, time: 0.193, data_time: 0.006, memory: 52540, decode.loss_ce: 0.1948, decode.acc_seg: 92.0747, loss: 0.1948 +2023-03-04 04:12:03,651 - mmseg - INFO - Iter [46300/160000] lr: 3.750e-05, eta: 7:13:44, time: 0.190, data_time: 0.006, memory: 52540, decode.loss_ce: 0.1899, decode.acc_seg: 92.2141, loss: 0.1899 +2023-03-04 04:12:13,232 - mmseg - INFO - Iter [46350/160000] lr: 3.750e-05, eta: 7:13:28, time: 0.192, data_time: 0.006, memory: 52540, decode.loss_ce: 0.1894, decode.acc_seg: 92.1101, loss: 0.1894 +2023-03-04 04:12:22,965 - mmseg - INFO - Iter [46400/160000] lr: 3.750e-05, eta: 7:13:12, time: 0.195, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1953, decode.acc_seg: 92.0336, loss: 0.1953 +2023-03-04 04:12:32,694 - mmseg - INFO - Iter [46450/160000] lr: 3.750e-05, eta: 7:12:57, time: 0.195, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1941, decode.acc_seg: 92.0432, loss: 0.1941 +2023-03-04 04:12:42,184 - mmseg - INFO - Iter [46500/160000] lr: 3.750e-05, eta: 7:12:41, time: 0.190, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1966, decode.acc_seg: 91.8846, loss: 0.1966 +2023-03-04 04:12:51,750 - mmseg - INFO - Iter [46550/160000] lr: 3.750e-05, eta: 7:12:25, time: 0.191, data_time: 0.006, memory: 52540, decode.loss_ce: 0.1912, decode.acc_seg: 92.1213, loss: 0.1912 +2023-03-04 04:13:01,604 - mmseg - INFO - Iter [46600/160000] lr: 3.750e-05, eta: 7:12:09, time: 0.197, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1933, decode.acc_seg: 92.0500, loss: 0.1933 +2023-03-04 04:13:11,179 - mmseg - INFO - Iter [46650/160000] lr: 3.750e-05, eta: 7:11:53, time: 0.191, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1973, decode.acc_seg: 91.7436, loss: 0.1973 +2023-03-04 04:13:23,368 - mmseg - INFO - Iter [46700/160000] lr: 3.750e-05, eta: 7:11:44, time: 0.244, data_time: 0.053, memory: 52540, decode.loss_ce: 0.1937, decode.acc_seg: 92.0770, loss: 0.1937 +2023-03-04 04:13:32,834 - mmseg - INFO - Iter [46750/160000] lr: 3.750e-05, eta: 7:11:28, time: 0.189, data_time: 0.006, memory: 52540, decode.loss_ce: 0.1885, decode.acc_seg: 92.1137, loss: 0.1885 +2023-03-04 04:13:42,483 - mmseg - INFO - Iter [46800/160000] lr: 3.750e-05, eta: 7:11:12, time: 0.193, data_time: 0.006, memory: 52540, decode.loss_ce: 0.1933, decode.acc_seg: 91.9881, loss: 0.1933 +2023-03-04 04:13:52,253 - mmseg - INFO - Iter [46850/160000] lr: 3.750e-05, eta: 7:10:56, time: 0.195, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1959, decode.acc_seg: 91.9417, loss: 0.1959 +2023-03-04 04:14:01,988 - mmseg - INFO - Iter [46900/160000] lr: 3.750e-05, eta: 7:10:41, time: 0.195, data_time: 0.006, memory: 52540, decode.loss_ce: 0.1896, decode.acc_seg: 92.2084, loss: 0.1896 +2023-03-04 04:14:11,659 - mmseg - INFO - Iter [46950/160000] lr: 3.750e-05, eta: 7:10:25, time: 0.193, data_time: 0.006, memory: 52540, decode.loss_ce: 0.1934, decode.acc_seg: 92.1276, loss: 0.1934 +2023-03-04 04:14:21,112 - mmseg - INFO - Exp name: ablation_segformer_mit_b2_segformer_head_unet_fc_small_multi_step_ade_single_stage.py +2023-03-04 04:14:21,112 - mmseg - INFO - Iter [47000/160000] lr: 3.750e-05, eta: 7:10:09, time: 0.189, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1943, decode.acc_seg: 92.0202, loss: 0.1943 +2023-03-04 04:14:30,604 - mmseg - INFO - Iter [47050/160000] lr: 3.750e-05, eta: 7:09:53, time: 0.190, data_time: 0.006, memory: 52540, decode.loss_ce: 0.1930, decode.acc_seg: 92.1281, loss: 0.1930 +2023-03-04 04:14:40,229 - mmseg - INFO - Iter [47100/160000] lr: 3.750e-05, eta: 7:09:37, time: 0.192, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1917, decode.acc_seg: 92.1152, loss: 0.1917 +2023-03-04 04:14:50,071 - mmseg - INFO - Iter [47150/160000] lr: 3.750e-05, eta: 7:09:22, time: 0.197, data_time: 0.006, memory: 52540, decode.loss_ce: 0.1980, decode.acc_seg: 91.9090, loss: 0.1980 +2023-03-04 04:14:59,788 - mmseg - INFO - Iter [47200/160000] lr: 3.750e-05, eta: 7:09:07, time: 0.194, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1875, decode.acc_seg: 92.1430, loss: 0.1875 +2023-03-04 04:15:09,377 - mmseg - INFO - Iter [47250/160000] lr: 3.750e-05, eta: 7:08:51, time: 0.192, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1896, decode.acc_seg: 92.1152, loss: 0.1896 +2023-03-04 04:15:18,927 - mmseg - INFO - Iter [47300/160000] lr: 3.750e-05, eta: 7:08:35, time: 0.191, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1939, decode.acc_seg: 92.1376, loss: 0.1939 +2023-03-04 04:15:31,148 - mmseg - INFO - Iter [47350/160000] lr: 3.750e-05, eta: 7:08:26, time: 0.244, data_time: 0.053, memory: 52540, decode.loss_ce: 0.1990, decode.acc_seg: 91.8173, loss: 0.1990 +2023-03-04 04:15:40,690 - mmseg - INFO - Iter [47400/160000] lr: 3.750e-05, eta: 7:08:10, time: 0.191, data_time: 0.006, memory: 52540, decode.loss_ce: 0.1970, decode.acc_seg: 91.9566, loss: 0.1970 +2023-03-04 04:15:50,145 - mmseg - INFO - Iter [47450/160000] lr: 3.750e-05, eta: 7:07:54, time: 0.189, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1942, decode.acc_seg: 91.9886, loss: 0.1942 +2023-03-04 04:15:59,654 - mmseg - INFO - Iter [47500/160000] lr: 3.750e-05, eta: 7:07:38, time: 0.190, data_time: 0.006, memory: 52540, decode.loss_ce: 0.1878, decode.acc_seg: 92.2536, loss: 0.1878 +2023-03-04 04:16:09,378 - mmseg - INFO - Iter [47550/160000] lr: 3.750e-05, eta: 7:07:22, time: 0.194, data_time: 0.006, memory: 52540, decode.loss_ce: 0.1940, decode.acc_seg: 91.9241, loss: 0.1940 +2023-03-04 04:16:19,289 - mmseg - INFO - Iter [47600/160000] lr: 3.750e-05, eta: 7:07:08, time: 0.198, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1861, decode.acc_seg: 92.2954, loss: 0.1861 +2023-03-04 04:16:29,344 - mmseg - INFO - Iter [47650/160000] lr: 3.750e-05, eta: 7:06:53, time: 0.201, data_time: 0.006, memory: 52540, decode.loss_ce: 0.1938, decode.acc_seg: 92.0284, loss: 0.1938 +2023-03-04 04:16:39,013 - mmseg - INFO - Iter [47700/160000] lr: 3.750e-05, eta: 7:06:37, time: 0.193, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1895, decode.acc_seg: 92.1967, loss: 0.1895 +2023-03-04 04:16:48,526 - mmseg - INFO - Iter [47750/160000] lr: 3.750e-05, eta: 7:06:22, time: 0.190, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1924, decode.acc_seg: 91.9850, loss: 0.1924 +2023-03-04 04:16:58,131 - mmseg - INFO - Iter [47800/160000] lr: 3.750e-05, eta: 7:06:06, time: 0.192, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1945, decode.acc_seg: 92.0613, loss: 0.1945 +2023-03-04 04:17:07,712 - mmseg - INFO - Iter [47850/160000] lr: 3.750e-05, eta: 7:05:50, time: 0.192, data_time: 0.006, memory: 52540, decode.loss_ce: 0.1861, decode.acc_seg: 92.2409, loss: 0.1861 +2023-03-04 04:17:17,613 - mmseg - INFO - Iter [47900/160000] lr: 3.750e-05, eta: 7:05:36, time: 0.198, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1909, decode.acc_seg: 92.1948, loss: 0.1909 +2023-03-04 04:17:27,358 - mmseg - INFO - Iter [47950/160000] lr: 3.750e-05, eta: 7:05:20, time: 0.195, data_time: 0.006, memory: 52540, decode.loss_ce: 0.1988, decode.acc_seg: 91.8748, loss: 0.1988 +2023-03-04 04:17:39,770 - mmseg - INFO - Swap parameters (after train) after iter [48000] +2023-03-04 04:17:39,783 - mmseg - INFO - Saving checkpoint at 48000 iterations +2023-03-04 04:17:40,828 - mmseg - INFO - Exp name: ablation_segformer_mit_b2_segformer_head_unet_fc_small_multi_step_ade_single_stage.py +2023-03-04 04:17:40,828 - mmseg - INFO - Iter [48000/160000] lr: 3.750e-05, eta: 7:05:14, time: 0.269, data_time: 0.055, memory: 52540, decode.loss_ce: 0.1893, decode.acc_seg: 92.3567, loss: 0.1893 +2023-03-04 04:28:29,380 - mmseg - INFO - per class results: +2023-03-04 04:28:29,389 - mmseg - INFO - ++---------------------+-------------------------------------------------------------------+ +| Class | IoU 0,10,20,30,40,50,60,70,80,90,99 | ++---------------------+-------------------------------------------------------------------+ +| background | nan,nan,nan,nan,nan,nan,nan,nan,nan,nan,nan | +| wall | 77.34,77.37,77.38,77.41,77.42,77.42,77.43,77.43,77.43,77.42,77.42 | +| building | 81.61,81.62,81.62,81.63,81.65,81.65,81.65,81.66,81.66,81.67,81.63 | +| sky | 94.42,94.43,94.42,94.43,94.43,94.43,94.43,94.44,94.43,94.43,94.43 | +| floor | 81.59,81.59,81.63,81.62,81.65,81.63,81.63,81.63,81.62,81.63,81.61 | +| tree | 74.27,74.29,74.31,74.31,74.32,74.32,74.31,74.32,74.31,74.3,74.3 | +| ceiling | 85.42,85.45,85.46,85.49,85.49,85.51,85.53,85.55,85.54,85.53,85.54 | +| road | 82.02,82.0,82.0,81.98,81.97,81.95,81.95,81.95,81.92,81.91,81.87 | +| bed | 87.5,87.53,87.55,87.58,87.57,87.62,87.59,87.6,87.61,87.62,87.65 | +| windowpane | 60.55,60.56,60.51,60.56,60.54,60.54,60.56,60.59,60.62,60.63,60.67 | +| grass | 67.13,67.14,67.16,67.18,67.18,67.2,67.2,67.22,67.22,67.22,67.27 | +| cabinet | 61.19,61.27,61.32,61.38,61.47,61.51,61.56,61.55,61.6,61.6,61.56 | +| sidewalk | 63.93,63.95,63.96,63.96,63.96,63.95,63.93,63.96,63.89,63.87,63.79 | +| person | 79.56,79.58,79.61,79.63,79.63,79.66,79.67,79.65,79.67,79.67,79.65 | +| earth | 35.37,35.4,35.39,35.39,35.4,35.38,35.41,35.46,35.5,35.52,35.45 | +| door | 45.4,45.5,45.47,45.56,45.5,45.51,45.51,45.48,45.47,45.55,45.49 | +| table | 60.77,60.86,60.85,60.93,61.01,61.06,61.05,61.06,61.09,61.06,61.04 | +| mountain | 57.01,57.07,57.07,57.13,57.24,57.2,57.21,57.27,57.31,57.36,57.37 | +| plant | 49.82,49.85,49.79,49.79,49.79,49.74,49.67,49.65,49.6,49.62,49.53 | +| curtain | 74.19,74.29,74.27,74.35,74.39,74.46,74.49,74.53,74.6,74.68,74.74 | +| chair | 56.32,56.35,56.37,56.43,56.49,56.48,56.52,56.54,56.54,56.56,56.53 | +| car | 81.46,81.49,81.54,81.54,81.58,81.63,81.63,81.67,81.67,81.72,81.74 | +| water | 57.65,57.67,57.7,57.71,57.74,57.76,57.79,57.81,57.86,57.87,57.87 | +| painting | 70.64,70.58,70.56,70.53,70.56,70.49,70.53,70.47,70.45,70.46,70.37 | +| sofa | 64.07,64.14,64.13,64.24,64.22,64.23,64.22,64.32,64.35,64.42,64.4 | +| shelf | 44.09,44.07,44.07,44.1,44.12,44.2,44.17,44.14,44.09,44.13,44.1 | +| house | 41.97,42.12,42.1,42.25,42.24,42.31,42.25,42.25,42.27,42.28,42.12 | +| sea | 60.62,60.67,60.7,60.72,60.73,60.66,60.66,60.68,60.71,60.69,60.68 | +| mirror | 65.85,65.99,66.0,66.19,66.27,66.3,66.24,66.25,66.32,66.33,66.45 | +| rug | 64.5,64.45,64.52,64.61,64.78,64.76,64.65,64.69,64.72,64.77,64.82 | +| field | 30.85,30.85,30.82,30.83,30.81,30.82,30.81,30.85,30.84,30.89,30.91 | +| armchair | 37.37,37.44,37.46,37.49,37.52,37.59,37.65,37.73,37.78,37.83,37.83 | +| seat | 66.27,66.39,66.52,66.54,66.6,66.72,66.77,66.73,66.82,66.84,66.86 | +| fence | 40.39,40.34,40.39,40.26,40.19,40.28,40.14,40.14,40.1,40.07,39.95 | +| desk | 47.25,47.19,47.26,47.26,47.28,47.29,47.33,47.31,47.32,47.32,47.25 | +| rock | 36.52,36.58,36.55,36.57,36.58,36.56,36.58,36.54,36.47,36.43,36.46 | +| wardrobe | 57.07,57.16,57.19,57.3,57.31,57.3,57.31,57.37,57.36,57.35,57.37 | +| lamp | 61.4,61.46,61.47,61.45,61.35,61.31,61.34,61.31,61.28,61.22,61.25 | +| bathtub | 76.98,77.17,77.03,77.08,77.23,76.83,76.93,76.76,76.47,76.5,76.38 | +| railing | 33.69,33.66,33.74,33.7,33.76,33.8,33.83,33.86,33.87,33.81,33.79 | +| cushion | 55.83,55.94,55.89,55.94,55.94,55.89,55.85,55.85,55.75,55.77,55.82 | +| base | 21.3,21.38,21.55,21.61,21.78,21.81,21.88,21.98,22.03,22.14,22.14 | +| box | 23.13,23.18,23.15,23.18,23.25,23.26,23.27,23.3,23.27,23.33,23.29 | +| column | 46.07,46.09,46.13,46.16,46.14,46.24,46.13,46.22,46.2,46.2,46.25 | +| signboard | 37.75,37.78,37.88,37.84,37.89,37.97,37.94,37.96,37.93,38.01,38.09 | +| chest of drawers | 35.61,35.69,35.77,35.78,35.87,36.0,36.13,36.2,36.18,36.25,36.17 | +| counter | 31.37,31.41,31.42,31.4,31.33,31.4,31.41,31.32,31.48,31.37,31.27 | +| sand | 42.2,42.33,42.29,42.28,42.25,41.99,41.9,41.87,41.87,41.88,41.91 | +| sink | 67.2,67.26,67.31,67.3,67.28,67.23,67.36,67.33,67.35,67.33,67.23 | +| skyscraper | 48.54,48.37,48.44,48.29,48.36,48.34,48.25,48.28,48.28,48.28,48.5 | +| fireplace | 74.96,75.12,75.27,75.41,75.44,75.54,75.61,75.7,75.74,75.81,75.82 | +| refrigerator | 74.82,75.12,75.27,75.33,75.37,75.54,75.55,75.51,75.5,75.45,75.49 | +| grandstand | 51.54,51.62,51.99,52.05,52.24,52.38,52.35,52.46,52.53,52.68,52.79 | +| path | 22.81,22.93,23.06,23.12,23.26,23.33,23.45,23.55,23.59,23.61,23.67 | +| stairs | 31.63,31.75,31.76,31.74,31.79,31.86,31.8,31.86,31.87,31.9,31.9 | +| runway | 66.31,66.39,66.48,66.52,66.51,66.59,66.62,66.66,66.58,66.57,66.59 | +| case | 48.97,48.98,49.02,49.03,49.02,49.05,49.09,49.07,49.01,48.95,48.9 | +| pool table | 91.82,91.86,91.89,91.88,91.93,91.95,91.98,91.99,91.98,92.0,92.01 | +| pillow | 60.22,60.24,60.28,60.43,60.49,60.46,60.4,60.25,60.17,60.11,60.2 | +| screen door | 69.11,69.17,69.14,69.42,69.61,69.61,69.77,69.59,69.42,69.24,69.2 | +| stairway | 23.87,23.84,23.89,23.78,23.83,23.8,23.76,23.81,23.82,23.9,23.94 | +| river | 11.96,11.96,11.94,11.95,11.97,11.96,11.95,11.96,11.97,11.97,11.96 | +| bridge | 31.99,32.06,32.06,32.14,32.17,32.23,32.18,32.27,32.37,32.28,32.27 | +| bookcase | 45.82,45.83,45.84,45.84,45.9,45.97,45.97,45.94,45.94,45.91,45.87 | +| blind | 39.43,39.44,39.34,39.37,39.49,39.51,39.51,39.71,39.73,39.77,39.93 | +| coffee table | 53.22,53.34,53.08,53.27,53.3,53.24,53.27,53.23,53.3,53.36,53.32 | +| toilet | 83.37,83.42,83.43,83.41,83.42,83.43,83.48,83.48,83.47,83.49,83.5 | +| flower | 38.84,38.92,38.89,38.82,38.89,38.89,38.88,38.98,38.84,38.83,38.86 | +| book | 45.25,45.27,45.26,45.27,45.22,45.33,45.38,45.4,45.45,45.42,45.45 | +| hill | 14.63,14.59,14.6,14.64,14.58,14.49,14.47,14.47,14.43,14.4,14.42 | +| bench | 43.09,43.01,43.04,43.0,42.91,42.79,42.76,42.6,42.51,42.42,42.39 | +| countertop | 54.96,54.88,54.83,54.89,54.96,54.87,54.85,54.91,54.87,54.95,55.04 | +| stove | 71.0,71.12,71.12,71.23,71.23,71.09,71.19,71.16,71.16,71.18,71.22 | +| palm | 48.06,48.11,48.08,48.1,48.04,48.06,48.07,48.09,48.07,48.01,48.03 | +| kitchen island | 42.97,42.89,43.23,43.21,43.47,43.46,43.62,43.62,43.66,43.73,43.64 | +| computer | 60.71,60.74,60.76,60.79,60.91,60.84,60.91,60.93,60.91,60.9,60.95 | +| swivel chair | 44.41,44.38,44.41,44.5,44.57,44.49,44.7,44.47,44.62,44.6,44.56 | +| boat | 73.14,73.21,73.3,73.5,73.52,73.56,73.66,73.78,73.77,73.83,73.83 | +| bar | 23.62,23.65,23.61,23.57,23.55,23.52,23.49,23.44,23.48,23.44,23.45 | +| arcade machine | 69.26,69.42,70.26,70.43,70.62,70.76,71.06,71.46,71.85,71.72,71.96 | +| hovel | 32.84,32.82,32.78,32.5,32.72,32.48,32.11,31.74,31.6,31.62,31.41 | +| bus | 79.35,79.31,79.29,79.45,79.36,79.37,79.39,79.34,79.34,79.26,79.35 | +| towel | 62.56,62.67,62.54,62.57,62.46,62.52,62.54,62.38,62.32,62.29,62.2 | +| light | 55.14,55.21,55.32,55.3,55.38,55.43,55.49,55.56,55.57,55.66,55.59 | +| truck | 18.02,18.11,18.05,18.04,17.96,17.97,17.92,17.95,17.73,17.72,17.7 | +| tower | 8.92,9.11,9.03,9.1,9.06,9.07,9.05,9.11,9.16,9.18,8.98 | +| chandelier | 64.2,64.15,64.18,64.2,64.2,64.18,64.22,64.27,64.22,64.24,64.25 | +| awning | 24.12,24.27,24.38,24.49,24.74,24.72,24.84,25.03,24.98,25.08,25.13 | +| streetlight | 26.98,27.03,27.01,27.03,27.04,27.13,27.04,27.15,27.15,27.19,27.18 | +| booth | 45.96,46.04,46.12,46.27,46.36,46.05,45.46,45.04,44.82,44.73,44.72 | +| television receiver | 63.9,63.84,63.85,63.9,63.81,63.93,63.95,64.0,63.93,63.99,63.99 | +| airplane | 60.05,60.01,60.12,60.17,60.2,60.27,60.25,60.3,60.37,60.4,60.44 | +| dirt track | 19.51,19.7,19.8,19.98,20.05,20.05,20.09,20.34,20.43,20.63,20.74 | +| apparel | 35.3,35.36,35.28,35.47,35.54,35.6,35.53,35.68,35.71,35.69,35.84 | +| pole | 19.36,19.39,19.27,19.46,19.43,19.42,19.35,19.33,19.25,19.2,19.19 | +| land | 3.67,3.68,3.64,3.63,3.63,3.62,3.64,3.64,3.62,3.63,3.61 | +| bannister | 12.39,12.4,12.49,12.51,12.54,12.76,12.81,12.79,12.86,12.71,12.84 | +| escalator | 23.43,23.42,23.54,23.34,23.49,23.59,23.59,23.63,23.76,23.66,23.63 | +| ottoman | 42.31,42.37,42.26,42.69,42.35,42.32,42.52,42.45,42.59,42.56,43.05 | +| bottle | 35.61,35.51,35.48,35.47,35.49,35.58,35.51,35.63,35.57,35.66,35.68 | +| buffet | 40.61,40.97,41.8,42.18,42.58,43.16,43.55,43.91,44.54,44.82,44.92 | +| poster | 23.64,23.76,23.72,23.86,23.88,23.74,23.7,23.68,23.75,23.78,23.99 | +| stage | 14.21,14.08,14.06,14.05,13.89,13.87,13.74,13.48,13.36,13.2,13.21 | +| van | 38.76,38.92,38.75,38.84,38.88,38.83,38.95,39.15,39.21,39.46,39.64 | +| ship | 82.26,82.61,82.8,82.9,82.9,83.18,83.24,83.36,83.43,83.17,83.07 | +| fountain | 21.01,21.19,21.3,21.45,21.57,21.96,21.96,22.16,22.28,22.45,22.56 | +| conveyer belt | 84.7,84.84,84.9,85.02,85.09,85.05,85.11,85.14,85.15,85.17,85.26 | +| canopy | 22.84,23.06,23.39,23.65,23.86,24.02,24.19,24.28,24.38,24.53,24.55 | +| washer | 76.4,76.35,76.55,76.66,76.49,76.64,76.62,76.71,76.82,77.23,77.36 | +| plaything | 21.31,21.28,21.16,21.33,21.23,21.24,21.32,21.17,21.29,21.19,21.16 | +| swimming pool | 74.65,75.12,75.33,75.33,75.48,75.55,75.57,75.64,75.48,75.37,75.45 | +| stool | 43.47,43.35,43.29,43.5,43.24,43.13,43.13,43.13,43.09,43.18,43.11 | +| barrel | 45.75,45.56,45.46,43.63,42.87,43.0,42.47,41.88,41.19,40.74,39.96 | +| basket | 23.7,23.83,23.69,23.75,23.61,23.69,23.65,23.72,23.71,23.68,23.58 | +| waterfall | 49.69,49.54,49.53,49.48,49.63,49.56,49.47,49.47,49.46,49.37,49.43 | +| tent | 94.05,94.08,94.08,94.01,94.06,94.03,94.04,94.15,94.07,94.08,94.16 | +| bag | 14.94,14.93,15.01,14.84,14.97,14.96,15.14,15.15,15.17,15.13,15.1 | +| minibike | 63.04,63.08,63.21,63.21,63.44,63.31,63.35,63.58,63.59,63.58,63.94 | +| cradle | 85.16,85.29,85.31,85.32,85.4,85.49,85.56,85.68,85.67,85.75,85.82 | +| oven | 49.24,49.27,49.49,49.55,49.33,49.47,49.45,49.54,49.62,49.69,49.58 | +| ball | 44.31,44.28,44.34,44.24,44.38,44.19,44.15,44.19,44.25,44.3,44.22 | +| food | 55.32,55.39,55.22,55.31,55.37,55.29,55.3,55.19,55.05,55.07,55.07 | +| step | 7.4,7.53,7.7,7.65,7.73,7.74,7.83,7.9,7.88,7.91,7.89 | +| tank | 52.5,52.33,52.39,52.52,52.36,52.31,52.33,52.35,52.31,52.3,52.31 | +| trade name | 28.62,28.42,28.4,28.4,28.42,28.37,28.45,28.31,28.29,28.28,28.14 | +| microwave | 74.56,74.8,75.18,75.21,75.27,75.36,75.42,75.56,75.62,75.66,75.63 | +| pot | 30.08,30.2,30.36,30.36,30.44,30.35,30.45,30.44,30.5,30.53,30.52 | +| animal | 53.94,53.97,54.06,54.06,54.03,53.96,53.91,53.79,53.77,53.82,53.96 | +| bicycle | 54.1,54.12,54.28,54.36,54.47,54.58,54.63,54.69,54.83,54.88,54.94 | +| lake | 56.9,56.93,56.89,56.94,56.9,56.89,56.86,56.9,56.89,56.91,56.91 | +| dishwasher | 63.54,63.41,63.29,63.27,63.02,62.94,62.96,62.85,62.98,62.89,62.98 | +| screen | 67.52,67.33,67.21,67.09,67.09,67.04,66.93,66.86,66.8,66.72,66.99 | +| blanket | 18.08,18.06,18.02,17.87,17.71,17.78,17.68,17.71,17.69,17.65,17.8 | +| sculpture | 57.62,57.76,57.4,57.78,57.67,57.78,58.09,57.8,57.6,57.73,57.38 | +| hood | 57.32,57.3,57.27,56.78,56.76,56.59,56.58,56.36,56.26,56.17,56.23 | +| sconce | 41.88,42.01,42.05,42.15,42.17,42.14,42.26,42.23,42.2,42.1,42.19 | +| vase | 37.62,37.56,37.68,37.69,37.73,37.74,37.68,37.75,37.7,37.74,37.74 | +| traffic light | 32.86,32.92,32.93,33.01,33.2,33.21,33.14,33.27,33.24,33.34,33.41 | +| tray | 7.32,7.31,7.29,7.43,7.47,7.52,7.68,7.66,7.69,7.62,7.74 | +| ashcan | 39.12,39.13,39.08,39.24,39.2,39.21,39.23,39.04,38.97,39.05,39.08 | +| fan | 58.11,58.14,58.08,58.25,58.17,58.06,58.18,58.06,57.97,58.01,57.96 | +| pier | 46.26,45.79,46.66,45.92,46.52,47.56,47.99,47.76,48.15,48.55,48.69 | +| crt screen | 9.82,9.9,9.89,9.98,10.0,10.02,10.09,10.12,10.15,10.01,10.16 | +| plate | 52.76,52.89,53.1,53.27,53.32,53.64,53.64,53.71,53.83,53.85,53.89 | +| monitor | 19.12,19.1,18.85,18.83,18.93,18.78,18.61,18.63,18.35,18.41,18.36 | +| bulletin board | 36.62,36.76,36.8,36.87,36.87,37.17,37.06,37.15,37.09,37.08,37.01 | +| shower | 0.99,0.98,0.96,0.92,0.97,0.95,0.84,0.93,0.85,0.89,0.87 | +| radiator | 60.52,60.8,61.61,62.2,63.08,63.71,64.16,64.51,64.94,64.99,65.51 | +| glass | 13.49,13.54,13.64,13.52,13.57,13.56,13.58,13.62,13.65,13.65,13.61 | +| clock | 35.44,35.7,36.0,35.81,35.77,35.81,35.6,35.73,35.64,35.48,35.53 | +| flag | 36.83,36.77,36.84,36.86,36.72,36.78,36.48,36.49,36.47,36.38,36.39 | ++---------------------+-------------------------------------------------------------------+ +2023-03-04 04:28:29,389 - mmseg - INFO - Summary: +2023-03-04 04:28:29,389 - mmseg - INFO - ++-----------------------------------------------------------------+ +| mIoU 0,10,20,30,40,50,60,70,80,90,99 | ++-----------------------------------------------------------------+ +| 48.59,48.63,48.68,48.7,48.73,48.76,48.77,48.78,48.78,48.79,48.8 | ++-----------------------------------------------------------------+ +2023-03-04 04:28:29,426 - mmseg - INFO - The previous best checkpoint /mnt/petrelfs/laizeqiang/mmseg-baseline/work_dirs2/ablation_segformer_mit_b2_segformer_head_unet_fc_small_multi_step_ade_single_stage/best_mIoU_iter_32000.pth was removed +2023-03-04 04:28:30,445 - mmseg - INFO - Now best checkpoint is saved as best_mIoU_iter_48000.pth. +2023-03-04 04:28:30,446 - mmseg - INFO - Best mIoU is 0.4880 at 48000 iter. +2023-03-04 04:28:30,446 - mmseg - INFO - Exp name: ablation_segformer_mit_b2_segformer_head_unet_fc_small_multi_step_ade_single_stage.py +2023-03-04 04:28:30,446 - mmseg - INFO - Iter(val) [250] mIoU: [0.4859, 0.4863, 0.4868, 0.487, 0.4873, 0.4876, 0.4877, 0.4878, 0.4878, 0.4879, 0.488], copy_paste: 48.59,48.63,48.68,48.7,48.73,48.76,48.77,48.78,48.78,48.79,48.8 +2023-03-04 04:28:30,456 - mmseg - INFO - Swap parameters (before train) before iter [48001] +2023-03-04 04:28:40,488 - mmseg - INFO - Iter [48050/160000] lr: 3.750e-05, eta: 7:30:13, time: 13.193, data_time: 13.000, memory: 52540, decode.loss_ce: 0.1874, decode.acc_seg: 92.3311, loss: 0.1874 +2023-03-04 04:28:50,321 - mmseg - INFO - Iter [48100/160000] lr: 3.750e-05, eta: 7:29:56, time: 0.197, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1975, decode.acc_seg: 91.9722, loss: 0.1975 +2023-03-04 04:29:00,047 - mmseg - INFO - Iter [48150/160000] lr: 3.750e-05, eta: 7:29:38, time: 0.195, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1896, decode.acc_seg: 92.2836, loss: 0.1896 +2023-03-04 04:29:09,667 - mmseg - INFO - Iter [48200/160000] lr: 3.750e-05, eta: 7:29:20, time: 0.192, data_time: 0.006, memory: 52540, decode.loss_ce: 0.2020, decode.acc_seg: 91.6265, loss: 0.2020 +2023-03-04 04:29:19,153 - mmseg - INFO - Iter [48250/160000] lr: 3.750e-05, eta: 7:29:02, time: 0.190, data_time: 0.006, memory: 52540, decode.loss_ce: 0.1923, decode.acc_seg: 92.1035, loss: 0.1923 +2023-03-04 04:29:28,709 - mmseg - INFO - Iter [48300/160000] lr: 3.750e-05, eta: 7:28:44, time: 0.191, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1979, decode.acc_seg: 91.9522, loss: 0.1979 +2023-03-04 04:29:38,226 - mmseg - INFO - Iter [48350/160000] lr: 3.750e-05, eta: 7:28:27, time: 0.190, data_time: 0.006, memory: 52540, decode.loss_ce: 0.1897, decode.acc_seg: 92.1538, loss: 0.1897 +2023-03-04 04:29:47,845 - mmseg - INFO - Iter [48400/160000] lr: 3.750e-05, eta: 7:28:09, time: 0.192, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1972, decode.acc_seg: 92.0854, loss: 0.1972 +2023-03-04 04:29:57,460 - mmseg - INFO - Iter [48450/160000] lr: 3.750e-05, eta: 7:27:51, time: 0.192, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1966, decode.acc_seg: 92.0693, loss: 0.1966 +2023-03-04 04:30:07,117 - mmseg - INFO - Iter [48500/160000] lr: 3.750e-05, eta: 7:27:34, time: 0.193, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1864, decode.acc_seg: 92.3997, loss: 0.1864 +2023-03-04 04:30:16,930 - mmseg - INFO - Iter [48550/160000] lr: 3.750e-05, eta: 7:27:17, time: 0.196, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1998, decode.acc_seg: 91.8405, loss: 0.1998 +2023-03-04 04:30:28,921 - mmseg - INFO - Iter [48600/160000] lr: 3.750e-05, eta: 7:27:04, time: 0.240, data_time: 0.053, memory: 52540, decode.loss_ce: 0.1942, decode.acc_seg: 92.1854, loss: 0.1942 +2023-03-04 04:30:38,517 - mmseg - INFO - Iter [48650/160000] lr: 3.750e-05, eta: 7:26:47, time: 0.192, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1942, decode.acc_seg: 92.1466, loss: 0.1942 +2023-03-04 04:30:48,044 - mmseg - INFO - Iter [48700/160000] lr: 3.750e-05, eta: 7:26:29, time: 0.190, data_time: 0.006, memory: 52540, decode.loss_ce: 0.1938, decode.acc_seg: 91.9605, loss: 0.1938 +2023-03-04 04:30:57,722 - mmseg - INFO - Iter [48750/160000] lr: 3.750e-05, eta: 7:26:12, time: 0.194, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1960, decode.acc_seg: 92.0144, loss: 0.1960 +2023-03-04 04:31:07,612 - mmseg - INFO - Iter [48800/160000] lr: 3.750e-05, eta: 7:25:55, time: 0.198, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1846, decode.acc_seg: 92.3359, loss: 0.1846 +2023-03-04 04:31:17,105 - mmseg - INFO - Iter [48850/160000] lr: 3.750e-05, eta: 7:25:37, time: 0.190, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1906, decode.acc_seg: 92.0524, loss: 0.1906 +2023-03-04 04:31:26,781 - mmseg - INFO - Iter [48900/160000] lr: 3.750e-05, eta: 7:25:19, time: 0.194, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1916, decode.acc_seg: 92.0721, loss: 0.1916 +2023-03-04 04:31:36,504 - mmseg - INFO - Iter [48950/160000] lr: 3.750e-05, eta: 7:25:02, time: 0.194, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1964, decode.acc_seg: 92.1386, loss: 0.1964 +2023-03-04 04:31:46,584 - mmseg - INFO - Exp name: ablation_segformer_mit_b2_segformer_head_unet_fc_small_multi_step_ade_single_stage.py +2023-03-04 04:31:46,584 - mmseg - INFO - Iter [49000/160000] lr: 3.750e-05, eta: 7:24:46, time: 0.201, data_time: 0.006, memory: 52540, decode.loss_ce: 0.1949, decode.acc_seg: 91.9072, loss: 0.1949 +2023-03-04 04:31:56,462 - mmseg - INFO - Iter [49050/160000] lr: 3.750e-05, eta: 7:24:29, time: 0.198, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1887, decode.acc_seg: 92.3635, loss: 0.1887 +2023-03-04 04:32:06,002 - mmseg - INFO - Iter [49100/160000] lr: 3.750e-05, eta: 7:24:11, time: 0.191, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1877, decode.acc_seg: 92.1937, loss: 0.1877 +2023-03-04 04:32:15,605 - mmseg - INFO - Iter [49150/160000] lr: 3.750e-05, eta: 7:23:54, time: 0.192, data_time: 0.006, memory: 52540, decode.loss_ce: 0.2098, decode.acc_seg: 91.4143, loss: 0.2098 +2023-03-04 04:32:25,055 - mmseg - INFO - Iter [49200/160000] lr: 3.750e-05, eta: 7:23:36, time: 0.189, data_time: 0.006, memory: 52540, decode.loss_ce: 0.1935, decode.acc_seg: 91.9905, loss: 0.1935 +2023-03-04 04:32:37,176 - mmseg - INFO - Iter [49250/160000] lr: 3.750e-05, eta: 7:23:24, time: 0.242, data_time: 0.055, memory: 52540, decode.loss_ce: 0.1861, decode.acc_seg: 92.1318, loss: 0.1861 +2023-03-04 04:32:46,745 - mmseg - INFO - Iter [49300/160000] lr: 3.750e-05, eta: 7:23:07, time: 0.191, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1915, decode.acc_seg: 92.0036, loss: 0.1915 +2023-03-04 04:32:56,213 - mmseg - INFO - Iter [49350/160000] lr: 3.750e-05, eta: 7:22:49, time: 0.189, data_time: 0.006, memory: 52540, decode.loss_ce: 0.1913, decode.acc_seg: 92.1054, loss: 0.1913 +2023-03-04 04:33:06,087 - mmseg - INFO - Iter [49400/160000] lr: 3.750e-05, eta: 7:22:32, time: 0.197, data_time: 0.007, memory: 52540, decode.loss_ce: 0.2016, decode.acc_seg: 91.7545, loss: 0.2016 +2023-03-04 04:33:15,996 - mmseg - INFO - Iter [49450/160000] lr: 3.750e-05, eta: 7:22:16, time: 0.198, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1995, decode.acc_seg: 91.9497, loss: 0.1995 +2023-03-04 04:33:25,612 - mmseg - INFO - Iter [49500/160000] lr: 3.750e-05, eta: 7:21:58, time: 0.192, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1931, decode.acc_seg: 92.1342, loss: 0.1931 +2023-03-04 04:33:35,402 - mmseg - INFO - Iter [49550/160000] lr: 3.750e-05, eta: 7:21:41, time: 0.196, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1861, decode.acc_seg: 92.3878, loss: 0.1861 +2023-03-04 04:33:44,995 - mmseg - INFO - Iter [49600/160000] lr: 3.750e-05, eta: 7:21:24, time: 0.192, data_time: 0.006, memory: 52540, decode.loss_ce: 0.1946, decode.acc_seg: 91.9666, loss: 0.1946 +2023-03-04 04:33:55,023 - mmseg - INFO - Iter [49650/160000] lr: 3.750e-05, eta: 7:21:08, time: 0.201, data_time: 0.007, memory: 52540, decode.loss_ce: 0.2013, decode.acc_seg: 91.7568, loss: 0.2013 +2023-03-04 04:34:04,657 - mmseg - INFO - Iter [49700/160000] lr: 3.750e-05, eta: 7:20:50, time: 0.193, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1980, decode.acc_seg: 91.9050, loss: 0.1980 +2023-03-04 04:34:14,126 - mmseg - INFO - Iter [49750/160000] lr: 3.750e-05, eta: 7:20:33, time: 0.189, data_time: 0.006, memory: 52540, decode.loss_ce: 0.1935, decode.acc_seg: 92.0917, loss: 0.1935 +2023-03-04 04:34:23,729 - mmseg - INFO - Iter [49800/160000] lr: 3.750e-05, eta: 7:20:16, time: 0.192, data_time: 0.006, memory: 52540, decode.loss_ce: 0.1888, decode.acc_seg: 92.3147, loss: 0.1888 +2023-03-04 04:34:35,824 - mmseg - INFO - Iter [49850/160000] lr: 3.750e-05, eta: 7:20:04, time: 0.242, data_time: 0.054, memory: 52540, decode.loss_ce: 0.1935, decode.acc_seg: 92.1845, loss: 0.1935 +2023-03-04 04:34:45,435 - mmseg - INFO - Iter [49900/160000] lr: 3.750e-05, eta: 7:19:47, time: 0.192, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1934, decode.acc_seg: 91.9782, loss: 0.1934 +2023-03-04 04:34:55,016 - mmseg - INFO - Iter [49950/160000] lr: 3.750e-05, eta: 7:19:29, time: 0.192, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1981, decode.acc_seg: 91.9845, loss: 0.1981 +2023-03-04 04:35:04,875 - mmseg - INFO - Exp name: ablation_segformer_mit_b2_segformer_head_unet_fc_small_multi_step_ade_single_stage.py +2023-03-04 04:35:04,875 - mmseg - INFO - Iter [50000/160000] lr: 3.750e-05, eta: 7:19:13, time: 0.197, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1914, decode.acc_seg: 92.1228, loss: 0.1914 +2023-03-04 04:35:14,409 - mmseg - INFO - Iter [50050/160000] lr: 3.750e-05, eta: 7:18:55, time: 0.191, data_time: 0.006, memory: 52540, decode.loss_ce: 0.1878, decode.acc_seg: 92.2537, loss: 0.1878 +2023-03-04 04:35:24,037 - mmseg - INFO - Iter [50100/160000] lr: 3.750e-05, eta: 7:18:38, time: 0.193, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1920, decode.acc_seg: 92.1100, loss: 0.1920 +2023-03-04 04:35:33,522 - mmseg - INFO - Iter [50150/160000] lr: 3.750e-05, eta: 7:18:21, time: 0.190, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1947, decode.acc_seg: 92.1486, loss: 0.1947 +2023-03-04 04:35:43,041 - mmseg - INFO - Iter [50200/160000] lr: 3.750e-05, eta: 7:18:03, time: 0.190, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1928, decode.acc_seg: 92.0985, loss: 0.1928 +2023-03-04 04:35:52,748 - mmseg - INFO - Iter [50250/160000] lr: 3.750e-05, eta: 7:17:47, time: 0.194, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1978, decode.acc_seg: 91.9953, loss: 0.1978 +2023-03-04 04:36:02,777 - mmseg - INFO - Iter [50300/160000] lr: 3.750e-05, eta: 7:17:30, time: 0.201, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1938, decode.acc_seg: 92.1768, loss: 0.1938 +2023-03-04 04:36:13,130 - mmseg - INFO - Iter [50350/160000] lr: 3.750e-05, eta: 7:17:15, time: 0.207, data_time: 0.006, memory: 52540, decode.loss_ce: 0.1974, decode.acc_seg: 91.8908, loss: 0.1974 +2023-03-04 04:36:22,714 - mmseg - INFO - Iter [50400/160000] lr: 3.750e-05, eta: 7:16:58, time: 0.192, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1965, decode.acc_seg: 91.8691, loss: 0.1965 +2023-03-04 04:36:32,262 - mmseg - INFO - Iter [50450/160000] lr: 3.750e-05, eta: 7:16:41, time: 0.191, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1837, decode.acc_seg: 92.4078, loss: 0.1837 +2023-03-04 04:36:44,295 - mmseg - INFO - Iter [50500/160000] lr: 3.750e-05, eta: 7:16:29, time: 0.241, data_time: 0.053, memory: 52540, decode.loss_ce: 0.1916, decode.acc_seg: 92.1957, loss: 0.1916 +2023-03-04 04:36:53,940 - mmseg - INFO - Iter [50550/160000] lr: 3.750e-05, eta: 7:16:12, time: 0.193, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1947, decode.acc_seg: 92.0197, loss: 0.1947 +2023-03-04 04:37:03,504 - mmseg - INFO - Iter [50600/160000] lr: 3.750e-05, eta: 7:15:55, time: 0.191, data_time: 0.006, memory: 52540, decode.loss_ce: 0.1908, decode.acc_seg: 92.0748, loss: 0.1908 +2023-03-04 04:37:13,173 - mmseg - INFO - Iter [50650/160000] lr: 3.750e-05, eta: 7:15:38, time: 0.194, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1968, decode.acc_seg: 92.0868, loss: 0.1968 +2023-03-04 04:37:22,734 - mmseg - INFO - Iter [50700/160000] lr: 3.750e-05, eta: 7:15:21, time: 0.191, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1769, decode.acc_seg: 92.5848, loss: 0.1769 +2023-03-04 04:37:32,549 - mmseg - INFO - Iter [50750/160000] lr: 3.750e-05, eta: 7:15:04, time: 0.196, data_time: 0.006, memory: 52540, decode.loss_ce: 0.1978, decode.acc_seg: 91.8003, loss: 0.1978 +2023-03-04 04:37:42,127 - mmseg - INFO - Iter [50800/160000] lr: 3.750e-05, eta: 7:14:47, time: 0.192, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1897, decode.acc_seg: 92.1370, loss: 0.1897 +2023-03-04 04:37:51,660 - mmseg - INFO - Iter [50850/160000] lr: 3.750e-05, eta: 7:14:30, time: 0.191, data_time: 0.006, memory: 52540, decode.loss_ce: 0.1933, decode.acc_seg: 92.0288, loss: 0.1933 +2023-03-04 04:38:01,576 - mmseg - INFO - Iter [50900/160000] lr: 3.750e-05, eta: 7:14:14, time: 0.198, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1927, decode.acc_seg: 92.1865, loss: 0.1927 +2023-03-04 04:38:11,156 - mmseg - INFO - Iter [50950/160000] lr: 3.750e-05, eta: 7:13:57, time: 0.192, data_time: 0.006, memory: 52540, decode.loss_ce: 0.1960, decode.acc_seg: 91.9313, loss: 0.1960 +2023-03-04 04:38:20,724 - mmseg - INFO - Exp name: ablation_segformer_mit_b2_segformer_head_unet_fc_small_multi_step_ade_single_stage.py +2023-03-04 04:38:20,724 - mmseg - INFO - Iter [51000/160000] lr: 3.750e-05, eta: 7:13:40, time: 0.191, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1983, decode.acc_seg: 91.7548, loss: 0.1983 +2023-03-04 04:38:30,204 - mmseg - INFO - Iter [51050/160000] lr: 3.750e-05, eta: 7:13:22, time: 0.190, data_time: 0.006, memory: 52540, decode.loss_ce: 0.1997, decode.acc_seg: 91.7609, loss: 0.1997 +2023-03-04 04:38:39,925 - mmseg - INFO - Iter [51100/160000] lr: 3.750e-05, eta: 7:13:06, time: 0.194, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1925, decode.acc_seg: 92.1659, loss: 0.1925 +2023-03-04 04:38:52,075 - mmseg - INFO - Iter [51150/160000] lr: 3.750e-05, eta: 7:12:54, time: 0.243, data_time: 0.054, memory: 52540, decode.loss_ce: 0.1943, decode.acc_seg: 91.9852, loss: 0.1943 +2023-03-04 04:39:01,611 - mmseg - INFO - Iter [51200/160000] lr: 3.750e-05, eta: 7:12:37, time: 0.191, data_time: 0.006, memory: 52540, decode.loss_ce: 0.1970, decode.acc_seg: 92.0390, loss: 0.1970 +2023-03-04 04:39:11,189 - mmseg - INFO - Iter [51250/160000] lr: 3.750e-05, eta: 7:12:20, time: 0.192, data_time: 0.006, memory: 52540, decode.loss_ce: 0.1940, decode.acc_seg: 92.0101, loss: 0.1940 +2023-03-04 04:39:21,010 - mmseg - INFO - Iter [51300/160000] lr: 3.750e-05, eta: 7:12:04, time: 0.196, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1961, decode.acc_seg: 91.7829, loss: 0.1961 +2023-03-04 04:39:30,730 - mmseg - INFO - Iter [51350/160000] lr: 3.750e-05, eta: 7:11:47, time: 0.194, data_time: 0.006, memory: 52540, decode.loss_ce: 0.1944, decode.acc_seg: 91.9957, loss: 0.1944 +2023-03-04 04:39:40,288 - mmseg - INFO - Iter [51400/160000] lr: 3.750e-05, eta: 7:11:31, time: 0.191, data_time: 0.006, memory: 52540, decode.loss_ce: 0.1925, decode.acc_seg: 92.0976, loss: 0.1925 +2023-03-04 04:39:49,982 - mmseg - INFO - Iter [51450/160000] lr: 3.750e-05, eta: 7:11:14, time: 0.194, data_time: 0.006, memory: 52540, decode.loss_ce: 0.1957, decode.acc_seg: 91.9598, loss: 0.1957 +2023-03-04 04:39:59,851 - mmseg - INFO - Iter [51500/160000] lr: 3.750e-05, eta: 7:10:58, time: 0.197, data_time: 0.006, memory: 52540, decode.loss_ce: 0.1897, decode.acc_seg: 92.1405, loss: 0.1897 +2023-03-04 04:40:09,740 - mmseg - INFO - Iter [51550/160000] lr: 3.750e-05, eta: 7:10:41, time: 0.198, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1926, decode.acc_seg: 92.1422, loss: 0.1926 +2023-03-04 04:40:19,809 - mmseg - INFO - Iter [51600/160000] lr: 3.750e-05, eta: 7:10:26, time: 0.201, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1953, decode.acc_seg: 91.9932, loss: 0.1953 +2023-03-04 04:40:29,803 - mmseg - INFO - Iter [51650/160000] lr: 3.750e-05, eta: 7:10:10, time: 0.200, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1881, decode.acc_seg: 92.2028, loss: 0.1881 +2023-03-04 04:40:39,335 - mmseg - INFO - Iter [51700/160000] lr: 3.750e-05, eta: 7:09:53, time: 0.191, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1912, decode.acc_seg: 92.0823, loss: 0.1912 +2023-03-04 04:40:51,316 - mmseg - INFO - Iter [51750/160000] lr: 3.750e-05, eta: 7:09:41, time: 0.240, data_time: 0.051, memory: 52540, decode.loss_ce: 0.1878, decode.acc_seg: 92.2769, loss: 0.1878 +2023-03-04 04:41:00,755 - mmseg - INFO - Iter [51800/160000] lr: 3.750e-05, eta: 7:09:24, time: 0.189, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1912, decode.acc_seg: 92.2783, loss: 0.1912 +2023-03-04 04:41:10,437 - mmseg - INFO - Iter [51850/160000] lr: 3.750e-05, eta: 7:09:07, time: 0.194, data_time: 0.006, memory: 52540, decode.loss_ce: 0.1941, decode.acc_seg: 91.9863, loss: 0.1941 +2023-03-04 04:41:19,942 - mmseg - INFO - Iter [51900/160000] lr: 3.750e-05, eta: 7:08:51, time: 0.190, data_time: 0.006, memory: 52540, decode.loss_ce: 0.1929, decode.acc_seg: 92.0053, loss: 0.1929 +2023-03-04 04:41:30,000 - mmseg - INFO - Iter [51950/160000] lr: 3.750e-05, eta: 7:08:35, time: 0.201, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1995, decode.acc_seg: 91.8473, loss: 0.1995 +2023-03-04 04:41:39,808 - mmseg - INFO - Exp name: ablation_segformer_mit_b2_segformer_head_unet_fc_small_multi_step_ade_single_stage.py +2023-03-04 04:41:39,808 - mmseg - INFO - Iter [52000/160000] lr: 3.750e-05, eta: 7:08:19, time: 0.196, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1996, decode.acc_seg: 91.9949, loss: 0.1996 +2023-03-04 04:41:49,413 - mmseg - INFO - Iter [52050/160000] lr: 3.750e-05, eta: 7:08:02, time: 0.192, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1908, decode.acc_seg: 92.3541, loss: 0.1908 +2023-03-04 04:41:59,054 - mmseg - INFO - Iter [52100/160000] lr: 3.750e-05, eta: 7:07:45, time: 0.193, data_time: 0.006, memory: 52540, decode.loss_ce: 0.1867, decode.acc_seg: 92.3141, loss: 0.1867 +2023-03-04 04:42:08,544 - mmseg - INFO - Iter [52150/160000] lr: 3.750e-05, eta: 7:07:28, time: 0.189, data_time: 0.006, memory: 52540, decode.loss_ce: 0.1956, decode.acc_seg: 91.9274, loss: 0.1956 +2023-03-04 04:42:18,261 - mmseg - INFO - Iter [52200/160000] lr: 3.750e-05, eta: 7:07:12, time: 0.195, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1932, decode.acc_seg: 92.1403, loss: 0.1932 +2023-03-04 04:42:27,998 - mmseg - INFO - Iter [52250/160000] lr: 3.750e-05, eta: 7:06:56, time: 0.195, data_time: 0.006, memory: 52540, decode.loss_ce: 0.1899, decode.acc_seg: 92.0171, loss: 0.1899 +2023-03-04 04:42:38,056 - mmseg - INFO - Iter [52300/160000] lr: 3.750e-05, eta: 7:06:40, time: 0.201, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1942, decode.acc_seg: 92.0503, loss: 0.1942 +2023-03-04 04:42:48,049 - mmseg - INFO - Iter [52350/160000] lr: 3.750e-05, eta: 7:06:24, time: 0.200, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1966, decode.acc_seg: 92.0118, loss: 0.1966 +2023-03-04 04:42:59,996 - mmseg - INFO - Iter [52400/160000] lr: 3.750e-05, eta: 7:06:13, time: 0.239, data_time: 0.055, memory: 52540, decode.loss_ce: 0.1871, decode.acc_seg: 92.2691, loss: 0.1871 +2023-03-04 04:43:10,104 - mmseg - INFO - Iter [52450/160000] lr: 3.750e-05, eta: 7:05:57, time: 0.202, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1930, decode.acc_seg: 92.0707, loss: 0.1930 +2023-03-04 04:43:19,601 - mmseg - INFO - Iter [52500/160000] lr: 3.750e-05, eta: 7:05:40, time: 0.190, data_time: 0.006, memory: 52540, decode.loss_ce: 0.2018, decode.acc_seg: 91.8529, loss: 0.2018 +2023-03-04 04:43:29,239 - mmseg - INFO - Iter [52550/160000] lr: 3.750e-05, eta: 7:05:24, time: 0.193, data_time: 0.006, memory: 52540, decode.loss_ce: 0.1894, decode.acc_seg: 92.2178, loss: 0.1894 +2023-03-04 04:43:39,005 - mmseg - INFO - Iter [52600/160000] lr: 3.750e-05, eta: 7:05:08, time: 0.195, data_time: 0.006, memory: 52540, decode.loss_ce: 0.1912, decode.acc_seg: 92.1674, loss: 0.1912 +2023-03-04 04:43:48,503 - mmseg - INFO - Iter [52650/160000] lr: 3.750e-05, eta: 7:04:51, time: 0.190, data_time: 0.006, memory: 52540, decode.loss_ce: 0.1912, decode.acc_seg: 92.1305, loss: 0.1912 +2023-03-04 04:43:57,983 - mmseg - INFO - Iter [52700/160000] lr: 3.750e-05, eta: 7:04:34, time: 0.190, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1884, decode.acc_seg: 92.3165, loss: 0.1884 +2023-03-04 04:44:07,865 - mmseg - INFO - Iter [52750/160000] lr: 3.750e-05, eta: 7:04:18, time: 0.198, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1901, decode.acc_seg: 92.0149, loss: 0.1901 +2023-03-04 04:44:17,391 - mmseg - INFO - Iter [52800/160000] lr: 3.750e-05, eta: 7:04:02, time: 0.191, data_time: 0.006, memory: 52540, decode.loss_ce: 0.1940, decode.acc_seg: 92.0432, loss: 0.1940 +2023-03-04 04:44:26,875 - mmseg - INFO - Iter [52850/160000] lr: 3.750e-05, eta: 7:03:45, time: 0.190, data_time: 0.006, memory: 52540, decode.loss_ce: 0.1886, decode.acc_seg: 92.3144, loss: 0.1886 +2023-03-04 04:44:36,433 - mmseg - INFO - Iter [52900/160000] lr: 3.750e-05, eta: 7:03:28, time: 0.191, data_time: 0.006, memory: 52540, decode.loss_ce: 0.1936, decode.acc_seg: 92.0629, loss: 0.1936 +2023-03-04 04:44:46,118 - mmseg - INFO - Iter [52950/160000] lr: 3.750e-05, eta: 7:03:12, time: 0.194, data_time: 0.006, memory: 52540, decode.loss_ce: 0.1942, decode.acc_seg: 92.0077, loss: 0.1942 +2023-03-04 04:44:55,649 - mmseg - INFO - Exp name: ablation_segformer_mit_b2_segformer_head_unet_fc_small_multi_step_ade_single_stage.py +2023-03-04 04:44:55,649 - mmseg - INFO - Iter [53000/160000] lr: 3.750e-05, eta: 7:02:56, time: 0.191, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1953, decode.acc_seg: 92.0079, loss: 0.1953 +2023-03-04 04:45:07,744 - mmseg - INFO - Iter [53050/160000] lr: 3.750e-05, eta: 7:02:44, time: 0.242, data_time: 0.053, memory: 52540, decode.loss_ce: 0.1938, decode.acc_seg: 92.0301, loss: 0.1938 +2023-03-04 04:45:17,663 - mmseg - INFO - Iter [53100/160000] lr: 3.750e-05, eta: 7:02:28, time: 0.198, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1985, decode.acc_seg: 92.0073, loss: 0.1985 +2023-03-04 04:45:27,209 - mmseg - INFO - Iter [53150/160000] lr: 3.750e-05, eta: 7:02:12, time: 0.191, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1875, decode.acc_seg: 92.3510, loss: 0.1875 +2023-03-04 04:45:36,769 - mmseg - INFO - Iter [53200/160000] lr: 3.750e-05, eta: 7:01:55, time: 0.191, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1946, decode.acc_seg: 92.1094, loss: 0.1946 +2023-03-04 04:45:46,297 - mmseg - INFO - Iter [53250/160000] lr: 3.750e-05, eta: 7:01:39, time: 0.191, data_time: 0.006, memory: 52540, decode.loss_ce: 0.1909, decode.acc_seg: 92.1931, loss: 0.1909 +2023-03-04 04:45:56,046 - mmseg - INFO - Iter [53300/160000] lr: 3.750e-05, eta: 7:01:23, time: 0.195, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1928, decode.acc_seg: 92.0916, loss: 0.1928 +2023-03-04 04:46:05,754 - mmseg - INFO - Iter [53350/160000] lr: 3.750e-05, eta: 7:01:07, time: 0.194, data_time: 0.006, memory: 52540, decode.loss_ce: 0.1982, decode.acc_seg: 91.8761, loss: 0.1982 +2023-03-04 04:46:15,852 - mmseg - INFO - Iter [53400/160000] lr: 3.750e-05, eta: 7:00:51, time: 0.202, data_time: 0.006, memory: 52540, decode.loss_ce: 0.1885, decode.acc_seg: 92.2255, loss: 0.1885 +2023-03-04 04:46:25,809 - mmseg - INFO - Iter [53450/160000] lr: 3.750e-05, eta: 7:00:36, time: 0.199, data_time: 0.006, memory: 52540, decode.loss_ce: 0.1995, decode.acc_seg: 91.8293, loss: 0.1995 +2023-03-04 04:46:35,795 - mmseg - INFO - Iter [53500/160000] lr: 3.750e-05, eta: 7:00:20, time: 0.200, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1890, decode.acc_seg: 92.0193, loss: 0.1890 +2023-03-04 04:46:45,705 - mmseg - INFO - Iter [53550/160000] lr: 3.750e-05, eta: 7:00:05, time: 0.198, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1997, decode.acc_seg: 91.8420, loss: 0.1997 +2023-03-04 04:46:55,588 - mmseg - INFO - Iter [53600/160000] lr: 3.750e-05, eta: 6:59:49, time: 0.198, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1872, decode.acc_seg: 92.2205, loss: 0.1872 +2023-03-04 04:47:07,890 - mmseg - INFO - Iter [53650/160000] lr: 3.750e-05, eta: 6:59:38, time: 0.246, data_time: 0.055, memory: 52540, decode.loss_ce: 0.1942, decode.acc_seg: 92.0205, loss: 0.1942 +2023-03-04 04:47:17,363 - mmseg - INFO - Iter [53700/160000] lr: 3.750e-05, eta: 6:59:21, time: 0.189, data_time: 0.006, memory: 52540, decode.loss_ce: 0.1838, decode.acc_seg: 92.4251, loss: 0.1838 +2023-03-04 04:47:26,866 - mmseg - INFO - Iter [53750/160000] lr: 3.750e-05, eta: 6:59:05, time: 0.190, data_time: 0.006, memory: 52540, decode.loss_ce: 0.1921, decode.acc_seg: 92.0128, loss: 0.1921 +2023-03-04 04:47:36,900 - mmseg - INFO - Iter [53800/160000] lr: 3.750e-05, eta: 6:58:50, time: 0.201, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1942, decode.acc_seg: 91.8953, loss: 0.1942 +2023-03-04 04:47:46,510 - mmseg - INFO - Iter [53850/160000] lr: 3.750e-05, eta: 6:58:33, time: 0.192, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1958, decode.acc_seg: 92.0264, loss: 0.1958 +2023-03-04 04:47:56,122 - mmseg - INFO - Iter [53900/160000] lr: 3.750e-05, eta: 6:58:17, time: 0.192, data_time: 0.006, memory: 52540, decode.loss_ce: 0.1857, decode.acc_seg: 92.1856, loss: 0.1857 +2023-03-04 04:48:05,980 - mmseg - INFO - Iter [53950/160000] lr: 3.750e-05, eta: 6:58:02, time: 0.197, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1928, decode.acc_seg: 92.2872, loss: 0.1928 +2023-03-04 04:48:15,557 - mmseg - INFO - Exp name: ablation_segformer_mit_b2_segformer_head_unet_fc_small_multi_step_ade_single_stage.py +2023-03-04 04:48:15,557 - mmseg - INFO - Iter [54000/160000] lr: 3.750e-05, eta: 6:57:45, time: 0.192, data_time: 0.006, memory: 52540, decode.loss_ce: 0.1942, decode.acc_seg: 92.1174, loss: 0.1942 +2023-03-04 04:48:25,038 - mmseg - INFO - Iter [54050/160000] lr: 3.750e-05, eta: 6:57:29, time: 0.190, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1933, decode.acc_seg: 92.0025, loss: 0.1933 +2023-03-04 04:48:34,825 - mmseg - INFO - Iter [54100/160000] lr: 3.750e-05, eta: 6:57:13, time: 0.196, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1882, decode.acc_seg: 92.1616, loss: 0.1882 +2023-03-04 04:48:44,344 - mmseg - INFO - Iter [54150/160000] lr: 3.750e-05, eta: 6:56:57, time: 0.190, data_time: 0.006, memory: 52540, decode.loss_ce: 0.1950, decode.acc_seg: 92.0099, loss: 0.1950 +2023-03-04 04:48:54,219 - mmseg - INFO - Iter [54200/160000] lr: 3.750e-05, eta: 6:56:41, time: 0.197, data_time: 0.006, memory: 52540, decode.loss_ce: 0.1916, decode.acc_seg: 92.0058, loss: 0.1916 +2023-03-04 04:49:04,059 - mmseg - INFO - Iter [54250/160000] lr: 3.750e-05, eta: 6:56:25, time: 0.197, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1827, decode.acc_seg: 92.5195, loss: 0.1827 +2023-03-04 04:49:16,196 - mmseg - INFO - Iter [54300/160000] lr: 3.750e-05, eta: 6:56:14, time: 0.242, data_time: 0.053, memory: 52540, decode.loss_ce: 0.1828, decode.acc_seg: 92.5011, loss: 0.1828 +2023-03-04 04:49:25,906 - mmseg - INFO - Iter [54350/160000] lr: 3.750e-05, eta: 6:55:58, time: 0.194, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1881, decode.acc_seg: 92.0520, loss: 0.1881 +2023-03-04 04:49:35,612 - mmseg - INFO - Iter [54400/160000] lr: 3.750e-05, eta: 6:55:42, time: 0.194, data_time: 0.006, memory: 52540, decode.loss_ce: 0.1903, decode.acc_seg: 92.1132, loss: 0.1903 +2023-03-04 04:49:45,249 - mmseg - INFO - Iter [54450/160000] lr: 3.750e-05, eta: 6:55:26, time: 0.193, data_time: 0.007, memory: 52540, decode.loss_ce: 0.2026, decode.acc_seg: 91.8201, loss: 0.2026 +2023-03-04 04:49:55,231 - mmseg - INFO - Iter [54500/160000] lr: 3.750e-05, eta: 6:55:11, time: 0.200, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1944, decode.acc_seg: 92.0838, loss: 0.1944 +2023-03-04 04:50:04,697 - mmseg - INFO - Iter [54550/160000] lr: 3.750e-05, eta: 6:54:55, time: 0.189, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1926, decode.acc_seg: 92.0803, loss: 0.1926 +2023-03-04 04:50:14,331 - mmseg - INFO - Iter [54600/160000] lr: 3.750e-05, eta: 6:54:39, time: 0.193, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1967, decode.acc_seg: 91.9922, loss: 0.1967 +2023-03-04 04:50:23,868 - mmseg - INFO - Iter [54650/160000] lr: 3.750e-05, eta: 6:54:23, time: 0.191, data_time: 0.006, memory: 52540, decode.loss_ce: 0.1950, decode.acc_seg: 91.8707, loss: 0.1950 +2023-03-04 04:50:33,882 - mmseg - INFO - Iter [54700/160000] lr: 3.750e-05, eta: 6:54:07, time: 0.200, data_time: 0.006, memory: 52540, decode.loss_ce: 0.1921, decode.acc_seg: 92.2183, loss: 0.1921 +2023-03-04 04:50:43,893 - mmseg - INFO - Iter [54750/160000] lr: 3.750e-05, eta: 6:53:52, time: 0.200, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1911, decode.acc_seg: 92.2321, loss: 0.1911 +2023-03-04 04:50:53,461 - mmseg - INFO - Iter [54800/160000] lr: 3.750e-05, eta: 6:53:36, time: 0.192, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1904, decode.acc_seg: 92.2024, loss: 0.1904 +2023-03-04 04:51:03,060 - mmseg - INFO - Iter [54850/160000] lr: 3.750e-05, eta: 6:53:20, time: 0.192, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1975, decode.acc_seg: 91.8949, loss: 0.1975 +2023-03-04 04:51:14,991 - mmseg - INFO - Iter [54900/160000] lr: 3.750e-05, eta: 6:53:09, time: 0.239, data_time: 0.054, memory: 52540, decode.loss_ce: 0.1916, decode.acc_seg: 92.0505, loss: 0.1916 +2023-03-04 04:51:24,898 - mmseg - INFO - Iter [54950/160000] lr: 3.750e-05, eta: 6:52:53, time: 0.198, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1936, decode.acc_seg: 92.0044, loss: 0.1936 +2023-03-04 04:51:34,739 - mmseg - INFO - Exp name: ablation_segformer_mit_b2_segformer_head_unet_fc_small_multi_step_ade_single_stage.py +2023-03-04 04:51:34,739 - mmseg - INFO - Iter [55000/160000] lr: 3.750e-05, eta: 6:52:38, time: 0.197, data_time: 0.007, memory: 52540, decode.loss_ce: 0.2009, decode.acc_seg: 91.8456, loss: 0.2009 +2023-03-04 04:51:44,995 - mmseg - INFO - Iter [55050/160000] lr: 3.750e-05, eta: 6:52:23, time: 0.205, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1835, decode.acc_seg: 92.4224, loss: 0.1835 +2023-03-04 04:51:54,568 - mmseg - INFO - Iter [55100/160000] lr: 3.750e-05, eta: 6:52:07, time: 0.191, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1949, decode.acc_seg: 91.9729, loss: 0.1949 +2023-03-04 04:52:04,463 - mmseg - INFO - Iter [55150/160000] lr: 3.750e-05, eta: 6:51:52, time: 0.198, data_time: 0.006, memory: 52540, decode.loss_ce: 0.1870, decode.acc_seg: 92.3424, loss: 0.1870 +2023-03-04 04:52:14,144 - mmseg - INFO - Iter [55200/160000] lr: 3.750e-05, eta: 6:51:36, time: 0.194, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1868, decode.acc_seg: 92.1470, loss: 0.1868 +2023-03-04 04:52:23,629 - mmseg - INFO - Iter [55250/160000] lr: 3.750e-05, eta: 6:51:20, time: 0.190, data_time: 0.006, memory: 52540, decode.loss_ce: 0.1945, decode.acc_seg: 92.0448, loss: 0.1945 +2023-03-04 04:52:33,114 - mmseg - INFO - Iter [55300/160000] lr: 3.750e-05, eta: 6:51:03, time: 0.190, data_time: 0.006, memory: 52540, decode.loss_ce: 0.1890, decode.acc_seg: 92.0801, loss: 0.1890 +2023-03-04 04:52:42,668 - mmseg - INFO - Iter [55350/160000] lr: 3.750e-05, eta: 6:50:48, time: 0.191, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1874, decode.acc_seg: 92.1789, loss: 0.1874 +2023-03-04 04:52:52,124 - mmseg - INFO - Iter [55400/160000] lr: 3.750e-05, eta: 6:50:31, time: 0.189, data_time: 0.006, memory: 52540, decode.loss_ce: 0.1976, decode.acc_seg: 91.9916, loss: 0.1976 +2023-03-04 04:53:01,893 - mmseg - INFO - Iter [55450/160000] lr: 3.750e-05, eta: 6:50:16, time: 0.195, data_time: 0.006, memory: 52540, decode.loss_ce: 0.1915, decode.acc_seg: 92.1378, loss: 0.1915 +2023-03-04 04:53:11,469 - mmseg - INFO - Iter [55500/160000] lr: 3.750e-05, eta: 6:50:00, time: 0.192, data_time: 0.006, memory: 52540, decode.loss_ce: 0.1963, decode.acc_seg: 92.0122, loss: 0.1963 +2023-03-04 04:53:23,540 - mmseg - INFO - Iter [55550/160000] lr: 3.750e-05, eta: 6:49:49, time: 0.241, data_time: 0.057, memory: 52540, decode.loss_ce: 0.1899, decode.acc_seg: 92.1674, loss: 0.1899 +2023-03-04 04:53:33,026 - mmseg - INFO - Iter [55600/160000] lr: 3.750e-05, eta: 6:49:33, time: 0.190, data_time: 0.006, memory: 52540, decode.loss_ce: 0.1912, decode.acc_seg: 92.1817, loss: 0.1912 +2023-03-04 04:53:42,639 - mmseg - INFO - Iter [55650/160000] lr: 3.750e-05, eta: 6:49:17, time: 0.192, data_time: 0.006, memory: 52540, decode.loss_ce: 0.1945, decode.acc_seg: 92.0627, loss: 0.1945 +2023-03-04 04:53:52,392 - mmseg - INFO - Iter [55700/160000] lr: 3.750e-05, eta: 6:49:01, time: 0.195, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1911, decode.acc_seg: 92.1899, loss: 0.1911 +2023-03-04 04:54:02,064 - mmseg - INFO - Iter [55750/160000] lr: 3.750e-05, eta: 6:48:46, time: 0.193, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1965, decode.acc_seg: 91.9564, loss: 0.1965 +2023-03-04 04:54:11,871 - mmseg - INFO - Iter [55800/160000] lr: 3.750e-05, eta: 6:48:30, time: 0.196, data_time: 0.006, memory: 52540, decode.loss_ce: 0.1868, decode.acc_seg: 92.3499, loss: 0.1868 +2023-03-04 04:54:21,773 - mmseg - INFO - Iter [55850/160000] lr: 3.750e-05, eta: 6:48:15, time: 0.198, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1919, decode.acc_seg: 92.0147, loss: 0.1919 +2023-03-04 04:54:31,524 - mmseg - INFO - Iter [55900/160000] lr: 3.750e-05, eta: 6:47:59, time: 0.195, data_time: 0.006, memory: 52540, decode.loss_ce: 0.1963, decode.acc_seg: 92.0065, loss: 0.1963 +2023-03-04 04:54:41,247 - mmseg - INFO - Iter [55950/160000] lr: 3.750e-05, eta: 6:47:44, time: 0.194, data_time: 0.006, memory: 52540, decode.loss_ce: 0.1899, decode.acc_seg: 92.1422, loss: 0.1899 +2023-03-04 04:54:50,864 - mmseg - INFO - Exp name: ablation_segformer_mit_b2_segformer_head_unet_fc_small_multi_step_ade_single_stage.py +2023-03-04 04:54:50,864 - mmseg - INFO - Iter [56000/160000] lr: 3.750e-05, eta: 6:47:28, time: 0.193, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1902, decode.acc_seg: 92.1467, loss: 0.1902 +2023-03-04 04:55:00,478 - mmseg - INFO - Iter [56050/160000] lr: 3.750e-05, eta: 6:47:12, time: 0.192, data_time: 0.006, memory: 52540, decode.loss_ce: 0.1944, decode.acc_seg: 91.9912, loss: 0.1944 +2023-03-04 04:55:10,023 - mmseg - INFO - Iter [56100/160000] lr: 3.750e-05, eta: 6:46:57, time: 0.191, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1893, decode.acc_seg: 92.1956, loss: 0.1893 +2023-03-04 04:55:19,641 - mmseg - INFO - Iter [56150/160000] lr: 3.750e-05, eta: 6:46:41, time: 0.192, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1909, decode.acc_seg: 92.1535, loss: 0.1909 +2023-03-04 04:55:31,741 - mmseg - INFO - Iter [56200/160000] lr: 3.750e-05, eta: 6:46:30, time: 0.242, data_time: 0.056, memory: 52540, decode.loss_ce: 0.1901, decode.acc_seg: 92.2178, loss: 0.1901 +2023-03-04 04:55:41,430 - mmseg - INFO - Iter [56250/160000] lr: 3.750e-05, eta: 6:46:14, time: 0.194, data_time: 0.006, memory: 52540, decode.loss_ce: 0.1808, decode.acc_seg: 92.4452, loss: 0.1808 +2023-03-04 04:55:51,000 - mmseg - INFO - Iter [56300/160000] lr: 3.750e-05, eta: 6:45:59, time: 0.191, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1925, decode.acc_seg: 92.0280, loss: 0.1925 +2023-03-04 04:56:00,480 - mmseg - INFO - Iter [56350/160000] lr: 3.750e-05, eta: 6:45:43, time: 0.190, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1907, decode.acc_seg: 92.0416, loss: 0.1907 +2023-03-04 04:56:09,967 - mmseg - INFO - Iter [56400/160000] lr: 3.750e-05, eta: 6:45:27, time: 0.190, data_time: 0.006, memory: 52540, decode.loss_ce: 0.1932, decode.acc_seg: 92.0038, loss: 0.1932 +2023-03-04 04:56:19,691 - mmseg - INFO - Iter [56450/160000] lr: 3.750e-05, eta: 6:45:11, time: 0.194, data_time: 0.006, memory: 52540, decode.loss_ce: 0.1951, decode.acc_seg: 92.1017, loss: 0.1951 +2023-03-04 04:56:29,272 - mmseg - INFO - Iter [56500/160000] lr: 3.750e-05, eta: 6:44:56, time: 0.192, data_time: 0.006, memory: 52540, decode.loss_ce: 0.1908, decode.acc_seg: 92.1486, loss: 0.1908 +2023-03-04 04:56:38,820 - mmseg - INFO - Iter [56550/160000] lr: 3.750e-05, eta: 6:44:40, time: 0.191, data_time: 0.006, memory: 52540, decode.loss_ce: 0.1954, decode.acc_seg: 92.0369, loss: 0.1954 +2023-03-04 04:56:48,364 - mmseg - INFO - Iter [56600/160000] lr: 3.750e-05, eta: 6:44:24, time: 0.191, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1987, decode.acc_seg: 91.8161, loss: 0.1987 +2023-03-04 04:56:57,919 - mmseg - INFO - Iter [56650/160000] lr: 3.750e-05, eta: 6:44:08, time: 0.191, data_time: 0.006, memory: 52540, decode.loss_ce: 0.1943, decode.acc_seg: 92.0260, loss: 0.1943 +2023-03-04 04:57:07,410 - mmseg - INFO - Iter [56700/160000] lr: 3.750e-05, eta: 6:43:53, time: 0.190, data_time: 0.006, memory: 52540, decode.loss_ce: 0.1882, decode.acc_seg: 92.2676, loss: 0.1882 +2023-03-04 04:57:16,862 - mmseg - INFO - Iter [56750/160000] lr: 3.750e-05, eta: 6:43:37, time: 0.189, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1945, decode.acc_seg: 92.0421, loss: 0.1945 +2023-03-04 04:57:29,115 - mmseg - INFO - Iter [56800/160000] lr: 3.750e-05, eta: 6:43:26, time: 0.245, data_time: 0.053, memory: 52540, decode.loss_ce: 0.1833, decode.acc_seg: 92.3393, loss: 0.1833 +2023-03-04 04:57:38,933 - mmseg - INFO - Iter [56850/160000] lr: 3.750e-05, eta: 6:43:11, time: 0.196, data_time: 0.006, memory: 52540, decode.loss_ce: 0.2029, decode.acc_seg: 91.8334, loss: 0.2029 +2023-03-04 04:57:48,594 - mmseg - INFO - Iter [56900/160000] lr: 3.750e-05, eta: 6:42:55, time: 0.193, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1843, decode.acc_seg: 92.2336, loss: 0.1843 +2023-03-04 04:57:58,111 - mmseg - INFO - Iter [56950/160000] lr: 3.750e-05, eta: 6:42:40, time: 0.190, data_time: 0.006, memory: 52540, decode.loss_ce: 0.1919, decode.acc_seg: 92.0886, loss: 0.1919 +2023-03-04 04:58:07,886 - mmseg - INFO - Exp name: ablation_segformer_mit_b2_segformer_head_unet_fc_small_multi_step_ade_single_stage.py +2023-03-04 04:58:07,887 - mmseg - INFO - Iter [57000/160000] lr: 3.750e-05, eta: 6:42:24, time: 0.195, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1899, decode.acc_seg: 92.2271, loss: 0.1899 +2023-03-04 04:58:17,665 - mmseg - INFO - Iter [57050/160000] lr: 3.750e-05, eta: 6:42:09, time: 0.195, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1923, decode.acc_seg: 92.0710, loss: 0.1923 +2023-03-04 04:58:27,764 - mmseg - INFO - Iter [57100/160000] lr: 3.750e-05, eta: 6:41:54, time: 0.202, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1955, decode.acc_seg: 92.0036, loss: 0.1955 +2023-03-04 04:58:37,232 - mmseg - INFO - Iter [57150/160000] lr: 3.750e-05, eta: 6:41:39, time: 0.189, data_time: 0.006, memory: 52540, decode.loss_ce: 0.1857, decode.acc_seg: 92.3666, loss: 0.1857 +2023-03-04 04:58:46,809 - mmseg - INFO - Iter [57200/160000] lr: 3.750e-05, eta: 6:41:23, time: 0.192, data_time: 0.006, memory: 52540, decode.loss_ce: 0.1908, decode.acc_seg: 92.1270, loss: 0.1908 +2023-03-04 04:58:56,908 - mmseg - INFO - Iter [57250/160000] lr: 3.750e-05, eta: 6:41:08, time: 0.202, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1967, decode.acc_seg: 91.9652, loss: 0.1967 +2023-03-04 04:59:06,476 - mmseg - INFO - Iter [57300/160000] lr: 3.750e-05, eta: 6:40:53, time: 0.191, data_time: 0.006, memory: 52540, decode.loss_ce: 0.1870, decode.acc_seg: 92.2256, loss: 0.1870 +2023-03-04 04:59:16,155 - mmseg - INFO - Iter [57350/160000] lr: 3.750e-05, eta: 6:40:38, time: 0.194, data_time: 0.006, memory: 52540, decode.loss_ce: 0.1860, decode.acc_seg: 92.3269, loss: 0.1860 +2023-03-04 04:59:25,700 - mmseg - INFO - Iter [57400/160000] lr: 3.750e-05, eta: 6:40:22, time: 0.191, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1878, decode.acc_seg: 92.2505, loss: 0.1878 +2023-03-04 04:59:37,861 - mmseg - INFO - Iter [57450/160000] lr: 3.750e-05, eta: 6:40:11, time: 0.243, data_time: 0.053, memory: 52540, decode.loss_ce: 0.1944, decode.acc_seg: 92.0701, loss: 0.1944 +2023-03-04 04:59:47,454 - mmseg - INFO - Iter [57500/160000] lr: 3.750e-05, eta: 6:39:56, time: 0.192, data_time: 0.006, memory: 52540, decode.loss_ce: 0.1962, decode.acc_seg: 91.9410, loss: 0.1962 +2023-03-04 04:59:57,273 - mmseg - INFO - Iter [57550/160000] lr: 3.750e-05, eta: 6:39:41, time: 0.197, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1941, decode.acc_seg: 91.9885, loss: 0.1941 +2023-03-04 05:00:07,225 - mmseg - INFO - Iter [57600/160000] lr: 3.750e-05, eta: 6:39:26, time: 0.199, data_time: 0.006, memory: 52540, decode.loss_ce: 0.1980, decode.acc_seg: 91.9747, loss: 0.1980 +2023-03-04 05:00:16,697 - mmseg - INFO - Iter [57650/160000] lr: 3.750e-05, eta: 6:39:10, time: 0.189, data_time: 0.006, memory: 52540, decode.loss_ce: 0.1984, decode.acc_seg: 91.8342, loss: 0.1984 +2023-03-04 05:00:26,446 - mmseg - INFO - Iter [57700/160000] lr: 3.750e-05, eta: 6:38:55, time: 0.195, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1916, decode.acc_seg: 92.2131, loss: 0.1916 +2023-03-04 05:00:36,221 - mmseg - INFO - Iter [57750/160000] lr: 3.750e-05, eta: 6:38:40, time: 0.195, data_time: 0.006, memory: 52540, decode.loss_ce: 0.1923, decode.acc_seg: 92.0451, loss: 0.1923 +2023-03-04 05:00:46,143 - mmseg - INFO - Iter [57800/160000] lr: 3.750e-05, eta: 6:38:25, time: 0.199, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1920, decode.acc_seg: 92.1432, loss: 0.1920 +2023-03-04 05:00:55,716 - mmseg - INFO - Iter [57850/160000] lr: 3.750e-05, eta: 6:38:10, time: 0.191, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1837, decode.acc_seg: 92.3586, loss: 0.1837 +2023-03-04 05:01:05,361 - mmseg - INFO - Iter [57900/160000] lr: 3.750e-05, eta: 6:37:54, time: 0.193, data_time: 0.006, memory: 52540, decode.loss_ce: 0.1923, decode.acc_seg: 92.0467, loss: 0.1923 +2023-03-04 05:01:14,753 - mmseg - INFO - Iter [57950/160000] lr: 3.750e-05, eta: 6:37:38, time: 0.188, data_time: 0.006, memory: 52540, decode.loss_ce: 0.2036, decode.acc_seg: 91.7070, loss: 0.2036 +2023-03-04 05:01:24,334 - mmseg - INFO - Exp name: ablation_segformer_mit_b2_segformer_head_unet_fc_small_multi_step_ade_single_stage.py +2023-03-04 05:01:24,334 - mmseg - INFO - Iter [58000/160000] lr: 3.750e-05, eta: 6:37:23, time: 0.192, data_time: 0.006, memory: 52540, decode.loss_ce: 0.1955, decode.acc_seg: 92.1421, loss: 0.1955 +2023-03-04 05:01:33,840 - mmseg - INFO - Iter [58050/160000] lr: 3.750e-05, eta: 6:37:08, time: 0.190, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1960, decode.acc_seg: 92.0160, loss: 0.1960 +2023-03-04 05:01:46,042 - mmseg - INFO - Iter [58100/160000] lr: 3.750e-05, eta: 6:36:57, time: 0.244, data_time: 0.055, memory: 52540, decode.loss_ce: 0.1998, decode.acc_seg: 91.7518, loss: 0.1998 +2023-03-04 05:01:55,837 - mmseg - INFO - Iter [58150/160000] lr: 3.750e-05, eta: 6:36:42, time: 0.196, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1882, decode.acc_seg: 92.1877, loss: 0.1882 +2023-03-04 05:02:05,296 - mmseg - INFO - Iter [58200/160000] lr: 3.750e-05, eta: 6:36:26, time: 0.189, data_time: 0.006, memory: 52540, decode.loss_ce: 0.1900, decode.acc_seg: 92.2264, loss: 0.1900 +2023-03-04 05:02:14,970 - mmseg - INFO - Iter [58250/160000] lr: 3.750e-05, eta: 6:36:11, time: 0.193, data_time: 0.006, memory: 52540, decode.loss_ce: 0.2017, decode.acc_seg: 91.8800, loss: 0.2017 +2023-03-04 05:02:24,841 - mmseg - INFO - Iter [58300/160000] lr: 3.750e-05, eta: 6:35:56, time: 0.198, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1902, decode.acc_seg: 92.2237, loss: 0.1902 +2023-03-04 05:02:34,534 - mmseg - INFO - Iter [58350/160000] lr: 3.750e-05, eta: 6:35:41, time: 0.194, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1878, decode.acc_seg: 92.3115, loss: 0.1878 +2023-03-04 05:02:44,484 - mmseg - INFO - Iter [58400/160000] lr: 3.750e-05, eta: 6:35:26, time: 0.199, data_time: 0.006, memory: 52540, decode.loss_ce: 0.1889, decode.acc_seg: 92.1378, loss: 0.1889 +2023-03-04 05:02:53,943 - mmseg - INFO - Iter [58450/160000] lr: 3.750e-05, eta: 6:35:11, time: 0.189, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1824, decode.acc_seg: 92.2750, loss: 0.1824 +2023-03-04 05:03:03,497 - mmseg - INFO - Iter [58500/160000] lr: 3.750e-05, eta: 6:34:55, time: 0.191, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1916, decode.acc_seg: 92.2414, loss: 0.1916 +2023-03-04 05:03:13,378 - mmseg - INFO - Iter [58550/160000] lr: 3.750e-05, eta: 6:34:41, time: 0.198, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1917, decode.acc_seg: 92.2432, loss: 0.1917 +2023-03-04 05:03:22,843 - mmseg - INFO - Iter [58600/160000] lr: 3.750e-05, eta: 6:34:25, time: 0.189, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1899, decode.acc_seg: 92.2395, loss: 0.1899 +2023-03-04 05:03:32,411 - mmseg - INFO - Iter [58650/160000] lr: 3.750e-05, eta: 6:34:10, time: 0.191, data_time: 0.006, memory: 52540, decode.loss_ce: 0.1995, decode.acc_seg: 91.8795, loss: 0.1995 +2023-03-04 05:03:44,627 - mmseg - INFO - Iter [58700/160000] lr: 3.750e-05, eta: 6:33:59, time: 0.245, data_time: 0.058, memory: 52540, decode.loss_ce: 0.1958, decode.acc_seg: 92.0014, loss: 0.1958 +2023-03-04 05:03:54,361 - mmseg - INFO - Iter [58750/160000] lr: 3.750e-05, eta: 6:33:44, time: 0.195, data_time: 0.006, memory: 52540, decode.loss_ce: 0.1984, decode.acc_seg: 91.9017, loss: 0.1984 +2023-03-04 05:04:03,800 - mmseg - INFO - Iter [58800/160000] lr: 3.750e-05, eta: 6:33:29, time: 0.189, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1905, decode.acc_seg: 92.1464, loss: 0.1905 +2023-03-04 05:04:13,244 - mmseg - INFO - Iter [58850/160000] lr: 3.750e-05, eta: 6:33:13, time: 0.189, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1962, decode.acc_seg: 91.9398, loss: 0.1962 +2023-03-04 05:04:22,750 - mmseg - INFO - Iter [58900/160000] lr: 3.750e-05, eta: 6:32:58, time: 0.190, data_time: 0.006, memory: 52540, decode.loss_ce: 0.1758, decode.acc_seg: 92.7347, loss: 0.1758 +2023-03-04 05:04:32,266 - mmseg - INFO - Iter [58950/160000] lr: 3.750e-05, eta: 6:32:42, time: 0.190, data_time: 0.006, memory: 52540, decode.loss_ce: 0.2053, decode.acc_seg: 91.6972, loss: 0.2053 +2023-03-04 05:04:41,773 - mmseg - INFO - Exp name: ablation_segformer_mit_b2_segformer_head_unet_fc_small_multi_step_ade_single_stage.py +2023-03-04 05:04:41,774 - mmseg - INFO - Iter [59000/160000] lr: 3.750e-05, eta: 6:32:27, time: 0.190, data_time: 0.006, memory: 52540, decode.loss_ce: 0.1893, decode.acc_seg: 92.1842, loss: 0.1893 +2023-03-04 05:04:51,525 - mmseg - INFO - Iter [59050/160000] lr: 3.750e-05, eta: 6:32:12, time: 0.195, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1970, decode.acc_seg: 91.9564, loss: 0.1970 +2023-03-04 05:05:00,955 - mmseg - INFO - Iter [59100/160000] lr: 3.750e-05, eta: 6:31:57, time: 0.189, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1841, decode.acc_seg: 92.4673, loss: 0.1841 +2023-03-04 05:05:10,546 - mmseg - INFO - Iter [59150/160000] lr: 3.750e-05, eta: 6:31:42, time: 0.192, data_time: 0.006, memory: 52540, decode.loss_ce: 0.1953, decode.acc_seg: 91.8814, loss: 0.1953 +2023-03-04 05:05:20,176 - mmseg - INFO - Iter [59200/160000] lr: 3.750e-05, eta: 6:31:27, time: 0.193, data_time: 0.006, memory: 52540, decode.loss_ce: 0.1982, decode.acc_seg: 91.9328, loss: 0.1982 +2023-03-04 05:05:29,993 - mmseg - INFO - Iter [59250/160000] lr: 3.750e-05, eta: 6:31:12, time: 0.196, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1903, decode.acc_seg: 92.1470, loss: 0.1903 +2023-03-04 05:05:39,750 - mmseg - INFO - Iter [59300/160000] lr: 3.750e-05, eta: 6:30:57, time: 0.195, data_time: 0.006, memory: 52540, decode.loss_ce: 0.1921, decode.acc_seg: 92.1561, loss: 0.1921 +2023-03-04 05:05:52,075 - mmseg - INFO - Iter [59350/160000] lr: 3.750e-05, eta: 6:30:46, time: 0.246, data_time: 0.057, memory: 52540, decode.loss_ce: 0.1811, decode.acc_seg: 92.4484, loss: 0.1811 +2023-03-04 05:06:01,643 - mmseg - INFO - Iter [59400/160000] lr: 3.750e-05, eta: 6:30:31, time: 0.192, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1917, decode.acc_seg: 92.1627, loss: 0.1917 +2023-03-04 05:06:11,300 - mmseg - INFO - Iter [59450/160000] lr: 3.750e-05, eta: 6:30:16, time: 0.193, data_time: 0.006, memory: 52540, decode.loss_ce: 0.2018, decode.acc_seg: 91.6726, loss: 0.2018 +2023-03-04 05:06:20,893 - mmseg - INFO - Iter [59500/160000] lr: 3.750e-05, eta: 6:30:01, time: 0.192, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1855, decode.acc_seg: 92.3389, loss: 0.1855 +2023-03-04 05:06:30,377 - mmseg - INFO - Iter [59550/160000] lr: 3.750e-05, eta: 6:29:46, time: 0.190, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1969, decode.acc_seg: 91.8416, loss: 0.1969 +2023-03-04 05:06:39,869 - mmseg - INFO - Iter [59600/160000] lr: 3.750e-05, eta: 6:29:31, time: 0.190, data_time: 0.006, memory: 52540, decode.loss_ce: 0.1848, decode.acc_seg: 92.3514, loss: 0.1848 +2023-03-04 05:06:49,443 - mmseg - INFO - Iter [59650/160000] lr: 3.750e-05, eta: 6:29:15, time: 0.191, data_time: 0.006, memory: 52540, decode.loss_ce: 0.1888, decode.acc_seg: 92.3589, loss: 0.1888 +2023-03-04 05:06:59,005 - mmseg - INFO - Iter [59700/160000] lr: 3.750e-05, eta: 6:29:00, time: 0.191, data_time: 0.006, memory: 52540, decode.loss_ce: 0.1884, decode.acc_seg: 92.1703, loss: 0.1884 +2023-03-04 05:07:08,933 - mmseg - INFO - Iter [59750/160000] lr: 3.750e-05, eta: 6:28:46, time: 0.199, data_time: 0.006, memory: 52540, decode.loss_ce: 0.1975, decode.acc_seg: 91.8977, loss: 0.1975 +2023-03-04 05:07:18,788 - mmseg - INFO - Iter [59800/160000] lr: 3.750e-05, eta: 6:28:31, time: 0.197, data_time: 0.007, memory: 52540, decode.loss_ce: 0.2000, decode.acc_seg: 91.7104, loss: 0.2000 +2023-03-04 05:07:28,369 - mmseg - INFO - Iter [59850/160000] lr: 3.750e-05, eta: 6:28:16, time: 0.191, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1924, decode.acc_seg: 92.1613, loss: 0.1924 +2023-03-04 05:07:38,018 - mmseg - INFO - Iter [59900/160000] lr: 3.750e-05, eta: 6:28:01, time: 0.193, data_time: 0.006, memory: 52540, decode.loss_ce: 0.1959, decode.acc_seg: 91.7824, loss: 0.1959 +2023-03-04 05:07:50,027 - mmseg - INFO - Iter [59950/160000] lr: 3.750e-05, eta: 6:27:50, time: 0.240, data_time: 0.055, memory: 52540, decode.loss_ce: 0.2036, decode.acc_seg: 91.7724, loss: 0.2036 +2023-03-04 05:07:59,915 - mmseg - INFO - Exp name: ablation_segformer_mit_b2_segformer_head_unet_fc_small_multi_step_ade_single_stage.py +2023-03-04 05:07:59,915 - mmseg - INFO - Iter [60000/160000] lr: 3.750e-05, eta: 6:27:36, time: 0.198, data_time: 0.006, memory: 52540, decode.loss_ce: 0.1912, decode.acc_seg: 92.2577, loss: 0.1912 +2023-03-04 05:08:09,505 - mmseg - INFO - Iter [60050/160000] lr: 1.875e-05, eta: 6:27:21, time: 0.192, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1881, decode.acc_seg: 92.2597, loss: 0.1881 +2023-03-04 05:08:19,065 - mmseg - INFO - Iter [60100/160000] lr: 1.875e-05, eta: 6:27:06, time: 0.191, data_time: 0.006, memory: 52540, decode.loss_ce: 0.1873, decode.acc_seg: 92.3449, loss: 0.1873 +2023-03-04 05:08:28,501 - mmseg - INFO - Iter [60150/160000] lr: 1.875e-05, eta: 6:26:50, time: 0.189, data_time: 0.006, memory: 52540, decode.loss_ce: 0.1908, decode.acc_seg: 92.0941, loss: 0.1908 +2023-03-04 05:08:38,338 - mmseg - INFO - Iter [60200/160000] lr: 1.875e-05, eta: 6:26:36, time: 0.197, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1978, decode.acc_seg: 92.1336, loss: 0.1978 +2023-03-04 05:08:48,121 - mmseg - INFO - Iter [60250/160000] lr: 1.875e-05, eta: 6:26:21, time: 0.196, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1991, decode.acc_seg: 91.9687, loss: 0.1991 +2023-03-04 05:08:57,732 - mmseg - INFO - Iter [60300/160000] lr: 1.875e-05, eta: 6:26:06, time: 0.192, data_time: 0.006, memory: 52540, decode.loss_ce: 0.1816, decode.acc_seg: 92.4496, loss: 0.1816 +2023-03-04 05:09:07,552 - mmseg - INFO - Iter [60350/160000] lr: 1.875e-05, eta: 6:25:52, time: 0.196, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1946, decode.acc_seg: 92.0322, loss: 0.1946 +2023-03-04 05:09:17,056 - mmseg - INFO - Iter [60400/160000] lr: 1.875e-05, eta: 6:25:36, time: 0.190, data_time: 0.006, memory: 52540, decode.loss_ce: 0.1875, decode.acc_seg: 92.4001, loss: 0.1875 +2023-03-04 05:09:26,677 - mmseg - INFO - Iter [60450/160000] lr: 1.875e-05, eta: 6:25:22, time: 0.192, data_time: 0.006, memory: 52540, decode.loss_ce: 0.1927, decode.acc_seg: 91.9772, loss: 0.1927 +2023-03-04 05:09:36,330 - mmseg - INFO - Iter [60500/160000] lr: 1.875e-05, eta: 6:25:07, time: 0.193, data_time: 0.006, memory: 52540, decode.loss_ce: 0.1935, decode.acc_seg: 92.0399, loss: 0.1935 +2023-03-04 05:09:45,903 - mmseg - INFO - Iter [60550/160000] lr: 1.875e-05, eta: 6:24:52, time: 0.191, data_time: 0.006, memory: 52540, decode.loss_ce: 0.1916, decode.acc_seg: 92.0665, loss: 0.1916 +2023-03-04 05:09:58,037 - mmseg - INFO - Iter [60600/160000] lr: 1.875e-05, eta: 6:24:41, time: 0.243, data_time: 0.058, memory: 52540, decode.loss_ce: 0.1904, decode.acc_seg: 92.3208, loss: 0.1904 +2023-03-04 05:10:07,771 - mmseg - INFO - Iter [60650/160000] lr: 1.875e-05, eta: 6:24:26, time: 0.195, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1938, decode.acc_seg: 92.2066, loss: 0.1938 +2023-03-04 05:10:17,777 - mmseg - INFO - Iter [60700/160000] lr: 1.875e-05, eta: 6:24:12, time: 0.200, data_time: 0.006, memory: 52540, decode.loss_ce: 0.1846, decode.acc_seg: 92.4556, loss: 0.1846 +2023-03-04 05:10:27,631 - mmseg - INFO - Iter [60750/160000] lr: 1.875e-05, eta: 6:23:58, time: 0.197, data_time: 0.006, memory: 52540, decode.loss_ce: 0.1857, decode.acc_seg: 92.3640, loss: 0.1857 +2023-03-04 05:10:37,610 - mmseg - INFO - Iter [60800/160000] lr: 1.875e-05, eta: 6:23:43, time: 0.200, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1931, decode.acc_seg: 92.0137, loss: 0.1931 +2023-03-04 05:10:47,216 - mmseg - INFO - Iter [60850/160000] lr: 1.875e-05, eta: 6:23:28, time: 0.192, data_time: 0.006, memory: 52540, decode.loss_ce: 0.1933, decode.acc_seg: 92.1799, loss: 0.1933 +2023-03-04 05:10:56,916 - mmseg - INFO - Iter [60900/160000] lr: 1.875e-05, eta: 6:23:14, time: 0.194, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1906, decode.acc_seg: 92.3050, loss: 0.1906 +2023-03-04 05:11:06,713 - mmseg - INFO - Iter [60950/160000] lr: 1.875e-05, eta: 6:22:59, time: 0.196, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1927, decode.acc_seg: 92.1980, loss: 0.1927 +2023-03-04 05:11:16,423 - mmseg - INFO - Exp name: ablation_segformer_mit_b2_segformer_head_unet_fc_small_multi_step_ade_single_stage.py +2023-03-04 05:11:16,423 - mmseg - INFO - Iter [61000/160000] lr: 1.875e-05, eta: 6:22:45, time: 0.194, data_time: 0.006, memory: 52540, decode.loss_ce: 0.1885, decode.acc_seg: 92.2183, loss: 0.1885 +2023-03-04 05:11:26,529 - mmseg - INFO - Iter [61050/160000] lr: 1.875e-05, eta: 6:22:31, time: 0.202, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1877, decode.acc_seg: 92.2598, loss: 0.1877 +2023-03-04 05:11:36,486 - mmseg - INFO - Iter [61100/160000] lr: 1.875e-05, eta: 6:22:16, time: 0.199, data_time: 0.006, memory: 52540, decode.loss_ce: 0.1903, decode.acc_seg: 92.2513, loss: 0.1903 +2023-03-04 05:11:46,446 - mmseg - INFO - Iter [61150/160000] lr: 1.875e-05, eta: 6:22:02, time: 0.199, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1860, decode.acc_seg: 92.2860, loss: 0.1860 +2023-03-04 05:11:56,248 - mmseg - INFO - Iter [61200/160000] lr: 1.875e-05, eta: 6:21:48, time: 0.196, data_time: 0.006, memory: 52540, decode.loss_ce: 0.1897, decode.acc_seg: 92.1735, loss: 0.1897 +2023-03-04 05:12:08,405 - mmseg - INFO - Iter [61250/160000] lr: 1.875e-05, eta: 6:21:37, time: 0.243, data_time: 0.056, memory: 52540, decode.loss_ce: 0.1850, decode.acc_seg: 92.2793, loss: 0.1850 +2023-03-04 05:12:18,264 - mmseg - INFO - Iter [61300/160000] lr: 1.875e-05, eta: 6:21:22, time: 0.197, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1914, decode.acc_seg: 92.1037, loss: 0.1914 +2023-03-04 05:12:28,055 - mmseg - INFO - Iter [61350/160000] lr: 1.875e-05, eta: 6:21:08, time: 0.196, data_time: 0.006, memory: 52540, decode.loss_ce: 0.1848, decode.acc_seg: 92.4342, loss: 0.1848 +2023-03-04 05:12:37,736 - mmseg - INFO - Iter [61400/160000] lr: 1.875e-05, eta: 6:20:53, time: 0.194, data_time: 0.006, memory: 52540, decode.loss_ce: 0.1882, decode.acc_seg: 92.4925, loss: 0.1882 +2023-03-04 05:12:47,222 - mmseg - INFO - Iter [61450/160000] lr: 1.875e-05, eta: 6:20:38, time: 0.190, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1869, decode.acc_seg: 92.3786, loss: 0.1869 +2023-03-04 05:12:57,019 - mmseg - INFO - Iter [61500/160000] lr: 1.875e-05, eta: 6:20:24, time: 0.196, data_time: 0.006, memory: 52540, decode.loss_ce: 0.1904, decode.acc_seg: 92.2700, loss: 0.1904 +2023-03-04 05:13:06,578 - mmseg - INFO - Iter [61550/160000] lr: 1.875e-05, eta: 6:20:09, time: 0.191, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1884, decode.acc_seg: 92.1443, loss: 0.1884 +2023-03-04 05:13:16,113 - mmseg - INFO - Iter [61600/160000] lr: 1.875e-05, eta: 6:19:54, time: 0.191, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1923, decode.acc_seg: 91.9624, loss: 0.1923 +2023-03-04 05:13:25,703 - mmseg - INFO - Iter [61650/160000] lr: 1.875e-05, eta: 6:19:39, time: 0.192, data_time: 0.006, memory: 52540, decode.loss_ce: 0.1885, decode.acc_seg: 92.2012, loss: 0.1885 +2023-03-04 05:13:35,544 - mmseg - INFO - Iter [61700/160000] lr: 1.875e-05, eta: 6:19:25, time: 0.197, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1940, decode.acc_seg: 92.1187, loss: 0.1940 +2023-03-04 05:13:45,244 - mmseg - INFO - Iter [61750/160000] lr: 1.875e-05, eta: 6:19:11, time: 0.194, data_time: 0.006, memory: 52540, decode.loss_ce: 0.1868, decode.acc_seg: 92.2763, loss: 0.1868 +2023-03-04 05:13:54,892 - mmseg - INFO - Iter [61800/160000] lr: 1.875e-05, eta: 6:18:56, time: 0.193, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1921, decode.acc_seg: 92.0760, loss: 0.1921 +2023-03-04 05:14:06,978 - mmseg - INFO - Iter [61850/160000] lr: 1.875e-05, eta: 6:18:45, time: 0.241, data_time: 0.053, memory: 52540, decode.loss_ce: 0.1867, decode.acc_seg: 92.4537, loss: 0.1867 +2023-03-04 05:14:16,727 - mmseg - INFO - Iter [61900/160000] lr: 1.875e-05, eta: 6:18:31, time: 0.195, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1881, decode.acc_seg: 92.3271, loss: 0.1881 +2023-03-04 05:14:26,342 - mmseg - INFO - Iter [61950/160000] lr: 1.875e-05, eta: 6:18:16, time: 0.192, data_time: 0.006, memory: 52540, decode.loss_ce: 0.1859, decode.acc_seg: 92.4058, loss: 0.1859 +2023-03-04 05:14:36,091 - mmseg - INFO - Exp name: ablation_segformer_mit_b2_segformer_head_unet_fc_small_multi_step_ade_single_stage.py +2023-03-04 05:14:36,091 - mmseg - INFO - Iter [62000/160000] lr: 1.875e-05, eta: 6:18:02, time: 0.195, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1842, decode.acc_seg: 92.3083, loss: 0.1842 +2023-03-04 05:14:45,903 - mmseg - INFO - Iter [62050/160000] lr: 1.875e-05, eta: 6:17:47, time: 0.196, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1859, decode.acc_seg: 92.2865, loss: 0.1859 +2023-03-04 05:14:55,407 - mmseg - INFO - Iter [62100/160000] lr: 1.875e-05, eta: 6:17:32, time: 0.190, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1899, decode.acc_seg: 92.2633, loss: 0.1899 +2023-03-04 05:15:04,901 - mmseg - INFO - Iter [62150/160000] lr: 1.875e-05, eta: 6:17:18, time: 0.190, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1846, decode.acc_seg: 92.2916, loss: 0.1846 +2023-03-04 05:15:14,504 - mmseg - INFO - Iter [62200/160000] lr: 1.875e-05, eta: 6:17:03, time: 0.192, data_time: 0.007, memory: 52540, decode.loss_ce: 0.2062, decode.acc_seg: 91.6632, loss: 0.2062 +2023-03-04 05:15:24,197 - mmseg - INFO - Iter [62250/160000] lr: 1.875e-05, eta: 6:16:48, time: 0.194, data_time: 0.006, memory: 52540, decode.loss_ce: 0.1970, decode.acc_seg: 91.8990, loss: 0.1970 +2023-03-04 05:15:33,894 - mmseg - INFO - Iter [62300/160000] lr: 1.875e-05, eta: 6:16:34, time: 0.194, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1920, decode.acc_seg: 92.2268, loss: 0.1920 +2023-03-04 05:15:43,898 - mmseg - INFO - Iter [62350/160000] lr: 1.875e-05, eta: 6:16:20, time: 0.200, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1826, decode.acc_seg: 92.3757, loss: 0.1826 +2023-03-04 05:15:53,484 - mmseg - INFO - Iter [62400/160000] lr: 1.875e-05, eta: 6:16:05, time: 0.192, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1826, decode.acc_seg: 92.4227, loss: 0.1826 +2023-03-04 05:16:03,195 - mmseg - INFO - Iter [62450/160000] lr: 1.875e-05, eta: 6:15:51, time: 0.194, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1954, decode.acc_seg: 92.0179, loss: 0.1954 +2023-03-04 05:16:15,238 - mmseg - INFO - Iter [62500/160000] lr: 1.875e-05, eta: 6:15:40, time: 0.241, data_time: 0.055, memory: 52540, decode.loss_ce: 0.1947, decode.acc_seg: 91.9770, loss: 0.1947 +2023-03-04 05:16:25,341 - mmseg - INFO - Iter [62550/160000] lr: 1.875e-05, eta: 6:15:26, time: 0.202, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1899, decode.acc_seg: 92.2433, loss: 0.1899 +2023-03-04 05:16:34,893 - mmseg - INFO - Iter [62600/160000] lr: 1.875e-05, eta: 6:15:11, time: 0.191, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1960, decode.acc_seg: 91.9853, loss: 0.1960 +2023-03-04 05:16:44,651 - mmseg - INFO - Iter [62650/160000] lr: 1.875e-05, eta: 6:14:57, time: 0.195, data_time: 0.006, memory: 52540, decode.loss_ce: 0.1965, decode.acc_seg: 92.1115, loss: 0.1965 +2023-03-04 05:16:54,424 - mmseg - INFO - Iter [62700/160000] lr: 1.875e-05, eta: 6:14:43, time: 0.196, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1924, decode.acc_seg: 92.1800, loss: 0.1924 +2023-03-04 05:17:04,103 - mmseg - INFO - Iter [62750/160000] lr: 1.875e-05, eta: 6:14:28, time: 0.194, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1913, decode.acc_seg: 92.0593, loss: 0.1913 +2023-03-04 05:17:13,639 - mmseg - INFO - Iter [62800/160000] lr: 1.875e-05, eta: 6:14:14, time: 0.191, data_time: 0.006, memory: 52540, decode.loss_ce: 0.1974, decode.acc_seg: 91.9703, loss: 0.1974 +2023-03-04 05:17:23,327 - mmseg - INFO - Iter [62850/160000] lr: 1.875e-05, eta: 6:13:59, time: 0.194, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1948, decode.acc_seg: 92.0204, loss: 0.1948 +2023-03-04 05:17:32,997 - mmseg - INFO - Iter [62900/160000] lr: 1.875e-05, eta: 6:13:45, time: 0.193, data_time: 0.006, memory: 52540, decode.loss_ce: 0.1902, decode.acc_seg: 92.1803, loss: 0.1902 +2023-03-04 05:17:42,548 - mmseg - INFO - Iter [62950/160000] lr: 1.875e-05, eta: 6:13:30, time: 0.191, data_time: 0.006, memory: 52540, decode.loss_ce: 0.1820, decode.acc_seg: 92.4637, loss: 0.1820 +2023-03-04 05:17:52,048 - mmseg - INFO - Exp name: ablation_segformer_mit_b2_segformer_head_unet_fc_small_multi_step_ade_single_stage.py +2023-03-04 05:17:52,048 - mmseg - INFO - Iter [63000/160000] lr: 1.875e-05, eta: 6:13:15, time: 0.190, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1892, decode.acc_seg: 92.1846, loss: 0.1892 +2023-03-04 05:18:01,577 - mmseg - INFO - Iter [63050/160000] lr: 1.875e-05, eta: 6:13:01, time: 0.191, data_time: 0.006, memory: 52540, decode.loss_ce: 0.1928, decode.acc_seg: 91.9542, loss: 0.1928 +2023-03-04 05:18:11,062 - mmseg - INFO - Iter [63100/160000] lr: 1.875e-05, eta: 6:12:46, time: 0.190, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1896, decode.acc_seg: 92.2385, loss: 0.1896 +2023-03-04 05:18:23,066 - mmseg - INFO - Iter [63150/160000] lr: 1.875e-05, eta: 6:12:35, time: 0.240, data_time: 0.054, memory: 52540, decode.loss_ce: 0.1805, decode.acc_seg: 92.4052, loss: 0.1805 +2023-03-04 05:18:32,547 - mmseg - INFO - Iter [63200/160000] lr: 1.875e-05, eta: 6:12:21, time: 0.190, data_time: 0.006, memory: 52540, decode.loss_ce: 0.1883, decode.acc_seg: 92.1942, loss: 0.1883 +2023-03-04 05:18:42,119 - mmseg - INFO - Iter [63250/160000] lr: 1.875e-05, eta: 6:12:06, time: 0.191, data_time: 0.006, memory: 52540, decode.loss_ce: 0.1874, decode.acc_seg: 92.1808, loss: 0.1874 +2023-03-04 05:18:51,677 - mmseg - INFO - Iter [63300/160000] lr: 1.875e-05, eta: 6:11:51, time: 0.191, data_time: 0.006, memory: 52540, decode.loss_ce: 0.1898, decode.acc_seg: 92.0505, loss: 0.1898 +2023-03-04 05:19:01,448 - mmseg - INFO - Iter [63350/160000] lr: 1.875e-05, eta: 6:11:37, time: 0.195, data_time: 0.006, memory: 52540, decode.loss_ce: 0.1899, decode.acc_seg: 92.3203, loss: 0.1899 +2023-03-04 05:19:10,987 - mmseg - INFO - Iter [63400/160000] lr: 1.875e-05, eta: 6:11:23, time: 0.191, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1811, decode.acc_seg: 92.5767, loss: 0.1811 +2023-03-04 05:19:20,612 - mmseg - INFO - Iter [63450/160000] lr: 1.875e-05, eta: 6:11:08, time: 0.192, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1842, decode.acc_seg: 92.4864, loss: 0.1842 +2023-03-04 05:19:30,283 - mmseg - INFO - Iter [63500/160000] lr: 1.875e-05, eta: 6:10:54, time: 0.194, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1787, decode.acc_seg: 92.6971, loss: 0.1787 +2023-03-04 05:19:39,822 - mmseg - INFO - Iter [63550/160000] lr: 1.875e-05, eta: 6:10:39, time: 0.191, data_time: 0.006, memory: 52540, decode.loss_ce: 0.1882, decode.acc_seg: 92.2836, loss: 0.1882 +2023-03-04 05:19:49,619 - mmseg - INFO - Iter [63600/160000] lr: 1.875e-05, eta: 6:10:25, time: 0.196, data_time: 0.006, memory: 52540, decode.loss_ce: 0.2046, decode.acc_seg: 91.8098, loss: 0.2046 +2023-03-04 05:19:59,160 - mmseg - INFO - Iter [63650/160000] lr: 1.875e-05, eta: 6:10:11, time: 0.191, data_time: 0.006, memory: 52540, decode.loss_ce: 0.1980, decode.acc_seg: 91.9479, loss: 0.1980 +2023-03-04 05:20:08,850 - mmseg - INFO - Iter [63700/160000] lr: 1.875e-05, eta: 6:09:56, time: 0.194, data_time: 0.006, memory: 52540, decode.loss_ce: 0.1909, decode.acc_seg: 92.1904, loss: 0.1909 +2023-03-04 05:20:21,331 - mmseg - INFO - Iter [63750/160000] lr: 1.875e-05, eta: 6:09:46, time: 0.249, data_time: 0.055, memory: 52540, decode.loss_ce: 0.1840, decode.acc_seg: 92.4196, loss: 0.1840 +2023-03-04 05:20:31,246 - mmseg - INFO - Iter [63800/160000] lr: 1.875e-05, eta: 6:09:32, time: 0.198, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1932, decode.acc_seg: 92.0906, loss: 0.1932 +2023-03-04 05:20:40,800 - mmseg - INFO - Iter [63850/160000] lr: 1.875e-05, eta: 6:09:18, time: 0.191, data_time: 0.006, memory: 52540, decode.loss_ce: 0.1879, decode.acc_seg: 92.2330, loss: 0.1879 +2023-03-04 05:20:50,231 - mmseg - INFO - Iter [63900/160000] lr: 1.875e-05, eta: 6:09:03, time: 0.189, data_time: 0.006, memory: 52540, decode.loss_ce: 0.1861, decode.acc_seg: 92.3731, loss: 0.1861 +2023-03-04 05:20:59,777 - mmseg - INFO - Iter [63950/160000] lr: 1.875e-05, eta: 6:08:49, time: 0.191, data_time: 0.006, memory: 52540, decode.loss_ce: 0.1963, decode.acc_seg: 91.9725, loss: 0.1963 +2023-03-04 05:21:09,439 - mmseg - INFO - Swap parameters (after train) after iter [64000] +2023-03-04 05:21:09,452 - mmseg - INFO - Saving checkpoint at 64000 iterations +2023-03-04 05:21:10,519 - mmseg - INFO - Exp name: ablation_segformer_mit_b2_segformer_head_unet_fc_small_multi_step_ade_single_stage.py +2023-03-04 05:21:10,519 - mmseg - INFO - Iter [64000/160000] lr: 1.875e-05, eta: 6:08:36, time: 0.215, data_time: 0.006, memory: 52540, decode.loss_ce: 0.1899, decode.acc_seg: 92.2435, loss: 0.1899 +2023-03-04 05:32:00,101 - mmseg - INFO - per class results: +2023-03-04 05:32:00,110 - mmseg - INFO - ++---------------------+-------------------------------------------------------------------+ +| Class | IoU 0,10,20,30,40,50,60,70,80,90,99 | ++---------------------+-------------------------------------------------------------------+ +| background | nan,nan,nan,nan,nan,nan,nan,nan,nan,nan,nan | +| wall | 77.42,77.44,77.47,77.48,77.51,77.51,77.53,77.53,77.54,77.53,77.55 | +| building | 81.61,81.63,81.65,81.67,81.68,81.68,81.68,81.69,81.7,81.71,81.71 | +| sky | 94.42,94.43,94.44,94.44,94.44,94.44,94.46,94.46,94.45,94.46,94.47 | +| floor | 81.72,81.73,81.75,81.76,81.77,81.77,81.77,81.77,81.77,81.78,81.78 | +| tree | 74.32,74.32,74.33,74.35,74.36,74.37,74.37,74.35,74.33,74.31,74.36 | +| ceiling | 85.36,85.4,85.39,85.42,85.44,85.44,85.48,85.49,85.5,85.5,85.53 | +| road | 82.27,82.28,82.3,82.27,82.27,82.24,82.24,82.24,82.23,82.22,82.16 | +| bed | 87.61,87.66,87.68,87.67,87.71,87.77,87.8,87.79,87.83,87.8,87.72 | +| windowpane | 60.64,60.64,60.68,60.71,60.72,60.73,60.74,60.74,60.75,60.74,60.77 | +| grass | 67.33,67.36,67.4,67.45,67.48,67.51,67.53,67.55,67.56,67.59,67.6 | +| cabinet | 61.3,61.4,61.43,61.52,61.68,61.72,61.78,61.85,61.89,61.9,61.91 | +| sidewalk | 64.34,64.37,64.42,64.39,64.42,64.38,64.37,64.36,64.32,64.29,64.16 | +| person | 79.63,79.64,79.64,79.65,79.66,79.67,79.69,79.67,79.68,79.69,79.68 | +| earth | 35.78,35.78,35.8,35.76,35.77,35.67,35.7,35.68,35.65,35.61,35.63 | +| door | 45.74,45.81,45.8,45.89,45.91,45.97,45.97,45.98,45.97,45.93,45.95 | +| table | 60.91,60.99,61.05,61.05,61.15,61.11,61.12,61.1,61.12,61.14,61.13 | +| mountain | 56.82,56.88,56.94,57.0,57.14,57.22,57.28,57.33,57.36,57.39,57.37 | +| plant | 49.97,49.98,49.88,49.88,49.83,49.85,49.8,49.72,49.68,49.65,49.7 | +| curtain | 74.61,74.63,74.88,74.94,75.0,75.08,75.1,75.14,75.14,75.16,75.13 | +| chair | 56.29,56.3,56.34,56.38,56.35,56.39,56.43,56.44,56.45,56.47,56.47 | +| car | 81.59,81.63,81.63,81.65,81.7,81.76,81.77,81.84,81.86,81.88,81.91 | +| water | 56.85,56.86,56.83,56.83,56.83,56.86,56.89,56.93,56.93,56.96,56.99 | +| painting | 70.4,70.37,70.33,70.29,70.33,70.22,70.21,70.18,70.2,70.17,70.12 | +| sofa | 64.07,64.17,64.15,64.29,64.31,64.37,64.43,64.43,64.45,64.45,64.37 | +| shelf | 44.26,44.27,44.3,44.37,44.37,44.35,44.35,44.37,44.33,44.38,44.41 | +| house | 42.28,42.43,42.51,42.58,42.65,42.66,42.64,42.65,42.78,42.91,42.97 | +| sea | 59.84,59.88,59.8,59.77,59.73,59.76,59.81,59.8,59.77,59.73,59.7 | +| mirror | 66.54,66.57,66.63,66.75,66.85,66.81,66.92,66.91,66.9,66.94,66.92 | +| rug | 65.42,65.46,65.52,65.65,65.68,65.72,65.7,65.85,65.89,65.93,65.99 | +| field | 30.98,31.0,30.99,31.1,31.12,31.21,31.29,31.34,31.44,31.49,31.61 | +| armchair | 37.63,37.75,37.72,37.8,37.84,37.91,37.98,38.01,38.04,38.1,38.06 | +| seat | 66.6,66.68,66.68,66.77,66.81,66.82,66.9,66.97,66.99,67.03,67.09 | +| fence | 40.7,40.75,40.75,40.8,40.7,40.72,40.71,40.74,40.67,40.63,40.61 | +| desk | 46.7,46.82,46.75,46.8,46.84,46.78,46.75,46.73,46.72,46.7,46.79 | +| rock | 36.7,36.71,36.81,36.86,36.97,37.05,37.09,37.11,37.11,37.12,37.15 | +| wardrobe | 57.43,57.43,57.47,57.7,57.78,57.8,57.84,57.86,57.91,57.94,58.01 | +| lamp | 61.89,61.81,61.94,61.94,62.0,61.99,62.09,62.04,62.09,62.11,62.16 | +| bathtub | 77.09,77.08,77.1,77.11,77.07,76.97,76.84,76.69,76.44,76.49,76.46 | +| railing | 33.81,33.83,33.8,33.76,33.78,33.74,33.75,33.69,33.67,33.63,33.66 | +| cushion | 56.55,56.53,56.58,56.52,56.32,56.48,56.42,56.48,56.5,56.5,56.31 | +| base | 21.68,21.8,21.84,21.88,21.86,21.91,22.08,22.09,22.11,22.12,22.15 | +| box | 23.22,23.3,23.35,23.32,23.48,23.53,23.52,23.45,23.51,23.5,23.46 | +| column | 46.13,46.11,46.21,46.28,46.21,46.27,46.3,46.33,46.3,46.3,46.43 | +| signboard | 37.56,37.6,37.67,37.72,37.67,37.7,37.7,37.69,37.69,37.73,37.78 | +| chest of drawers | 35.74,35.75,35.82,35.82,36.09,36.15,36.31,36.38,36.41,36.47,36.59 | +| counter | 30.99,30.99,31.09,31.11,31.04,31.05,31.05,31.0,30.92,30.89,31.12 | +| sand | 41.58,41.67,41.52,41.38,41.36,41.44,41.46,41.51,41.47,41.51,41.47 | +| sink | 67.6,67.57,67.55,67.57,67.59,67.52,67.42,67.41,67.48,67.46,67.47 | +| skyscraper | 48.53,48.6,48.64,48.63,48.65,48.64,48.64,48.71,48.75,48.83,48.57 | +| fireplace | 76.34,76.42,76.45,76.42,76.53,76.45,76.47,76.56,76.58,76.66,76.42 | +| refrigerator | 75.96,76.11,76.28,76.17,76.32,76.29,76.25,76.37,76.36,76.35,76.29 | +| grandstand | 52.23,52.34,52.36,52.4,52.66,52.72,52.72,52.68,52.92,52.84,53.0 | +| path | 22.29,22.41,22.53,22.58,22.72,22.77,22.88,22.93,22.96,22.96,22.96 | +| stairs | 31.5,31.52,31.58,31.53,31.52,31.48,31.52,31.46,31.48,31.49,31.49 | +| runway | 67.84,67.87,67.9,67.93,68.06,68.06,68.15,68.14,68.18,68.23,68.27 | +| case | 48.85,48.85,48.84,48.78,48.84,48.78,48.79,48.82,48.83,48.69,48.9 | +| pool table | 91.68,91.7,91.72,91.74,91.76,91.81,91.86,91.87,91.92,91.95,91.97 | +| pillow | 60.79,60.71,60.72,60.48,60.26,60.27,60.17,60.12,60.11,60.08,60.09 | +| screen door | 69.76,69.94,70.2,70.31,70.42,70.7,70.77,70.9,70.97,71.08,71.13 | +| stairway | 24.14,24.0,23.95,23.95,23.9,24.0,23.98,24.01,24.04,24.04,24.06 | +| river | 11.96,11.96,11.97,11.95,11.96,11.96,11.95,11.93,11.9,11.89,11.93 | +| bridge | 32.1,32.14,32.13,32.15,32.17,32.23,32.34,32.29,32.31,32.28,32.37 | +| bookcase | 45.43,45.5,45.52,45.52,45.53,45.74,45.61,45.6,45.63,45.72,45.62 | +| blind | 40.24,40.28,40.28,40.27,40.17,40.25,40.22,40.22,40.25,40.17,40.18 | +| coffee table | 53.0,53.05,52.99,52.87,53.0,52.84,52.9,52.89,52.99,53.04,52.78 | +| toilet | 83.47,83.42,83.37,83.44,83.42,83.37,83.4,83.36,83.44,83.39,83.39 | +| flower | 39.23,39.17,39.19,39.24,39.18,39.17,39.13,39.15,39.1,39.05,39.13 | +| book | 45.23,45.12,45.23,45.15,45.24,45.17,45.15,45.06,45.08,45.03,45.11 | +| hill | 15.26,15.3,15.29,15.16,15.3,15.19,15.24,15.25,15.19,15.2,15.2 | +| bench | 42.95,42.8,42.64,42.6,42.51,42.35,42.3,42.23,42.21,42.14,42.08 | +| countertop | 55.11,55.03,54.98,55.06,55.06,55.16,55.14,55.17,55.21,55.27,55.41 | +| stove | 71.21,71.18,71.12,71.22,71.32,71.33,71.43,71.36,71.4,71.5,71.26 | +| palm | 48.21,48.19,48.3,48.38,48.31,48.42,48.49,48.45,48.41,48.42,48.39 | +| kitchen island | 44.32,44.46,44.24,44.75,45.06,45.04,45.2,45.45,45.63,45.74,45.93 | +| computer | 60.62,60.58,60.55,60.58,60.62,60.57,60.59,60.6,60.51,60.55,60.5 | +| swivel chair | 43.92,43.89,44.0,44.11,44.23,44.25,44.31,44.48,44.53,44.52,44.49 | +| boat | 71.92,72.19,72.27,72.41,72.43,72.62,72.57,72.74,72.94,73.0,72.93 | +| bar | 23.92,23.88,23.87,23.8,23.77,23.74,23.71,23.7,23.68,23.67,23.76 | +| arcade machine | 68.29,68.5,68.84,68.48,68.38,68.89,68.98,69.18,69.34,69.39,70.09 | +| hovel | 33.36,33.4,33.16,32.86,32.94,32.35,32.37,32.11,32.13,31.95,31.34 | +| bus | 79.37,79.37,79.38,79.4,79.4,79.51,79.57,79.57,79.61,79.61,79.57 | +| towel | 62.85,62.83,62.87,62.95,62.91,62.73,62.84,62.74,62.76,62.73,62.59 | +| light | 55.57,55.56,55.73,55.83,55.89,55.97,56.05,56.06,56.09,56.22,56.23 | +| truck | 19.67,19.66,19.63,19.58,19.47,19.39,19.31,19.39,19.28,19.26,19.24 | +| tower | 8.42,8.66,8.75,8.81,8.92,8.72,8.79,8.91,8.98,8.97,8.95 | +| chandelier | 64.57,64.6,64.63,64.55,64.68,64.65,64.63,64.66,64.6,64.66,64.71 | +| awning | 24.06,24.15,24.56,24.5,24.76,24.81,25.01,25.0,25.04,25.05,25.3 | +| streetlight | 26.85,26.89,26.93,27.0,26.97,26.92,27.05,27.08,27.12,27.13,27.26 | +| booth | 48.4,49.1,49.19,49.41,49.73,49.76,50.03,50.18,50.17,50.23,50.18 | +| television receiver | 64.33,64.34,64.36,64.31,64.39,64.35,64.28,64.32,64.27,64.29,64.29 | +| airplane | 60.98,60.94,61.01,60.98,60.92,61.0,61.05,61.03,60.97,61.02,60.97 | +| dirt track | 19.74,19.81,19.94,20.07,20.2,20.31,20.47,20.76,20.9,21.21,21.29 | +| apparel | 35.32,35.47,35.55,35.75,35.71,35.96,36.14,36.13,35.89,35.95,35.86 | +| pole | 18.56,18.58,18.54,18.47,18.44,18.27,18.29,18.06,18.04,18.02,17.71 | +| land | 3.57,3.62,3.64,3.63,3.63,3.71,3.67,3.7,3.7,3.71,3.59 | +| bannister | 12.04,12.13,12.24,12.27,12.35,12.38,12.43,12.59,12.53,12.58,12.68 | +| escalator | 24.6,24.56,24.58,24.65,24.73,24.78,24.87,24.89,24.93,24.96,25.08 | +| ottoman | 41.36,41.52,41.19,41.42,41.98,42.13,42.13,42.1,42.46,42.08,41.46 | +| bottle | 35.62,35.7,35.77,35.78,35.63,35.78,35.69,35.79,35.8,35.9,35.87 | +| buffet | 41.98,42.24,43.02,43.12,43.57,43.83,44.09,44.39,44.41,44.51,44.82 | +| poster | 23.23,23.26,23.21,23.22,23.33,23.18,23.2,23.34,23.24,23.36,23.39 | +| stage | 13.71,13.4,13.35,13.2,13.16,13.0,13.06,12.89,12.85,12.81,12.78 | +| van | 38.32,38.42,38.27,38.38,38.5,38.58,38.38,38.54,38.45,38.43,38.69 | +| ship | 81.05,81.4,81.54,81.35,81.58,81.56,81.63,81.67,81.75,81.74,81.69 | +| fountain | 19.16,19.54,19.7,19.86,20.06,20.38,20.8,21.09,21.28,21.67,21.91 | +| conveyer belt | 85.34,85.39,85.51,85.7,85.78,85.94,85.96,85.97,86.1,86.13,86.05 | +| canopy | 22.59,22.92,23.25,23.43,23.61,23.74,23.94,24.26,24.32,24.47,24.6 | +| washer | 75.56,75.81,76.15,75.98,76.0,76.1,76.25,76.4,76.38,76.47,76.46 | +| plaything | 20.9,20.91,20.9,20.92,20.79,20.85,20.86,20.85,20.82,20.75,20.74 | +| swimming pool | 73.71,74.19,74.57,74.5,75.1,75.13,75.18,74.84,74.62,74.59,74.54 | +| stool | 43.98,43.9,43.82,43.64,43.8,43.7,43.47,43.5,43.37,43.15,43.02 | +| barrel | 38.32,37.35,37.92,38.39,36.78,36.31,36.36,35.22,35.09,34.17,34.01 | +| basket | 23.77,24.02,23.91,23.93,23.97,23.94,24.04,23.98,24.0,24.0,23.96 | +| waterfall | 50.09,50.04,50.04,49.93,49.98,49.92,49.91,49.9,49.95,49.95,49.91 | +| tent | 94.33,94.33,94.35,94.4,94.44,94.49,94.51,94.52,94.5,94.57,94.67 | +| bag | 14.54,14.69,14.66,14.82,14.72,14.65,14.57,14.46,14.37,14.26,14.3 | +| minibike | 62.65,62.71,62.64,62.72,62.79,62.72,62.97,62.99,62.89,63.14,63.33 | +| cradle | 84.92,85.0,85.26,85.22,85.33,85.46,85.54,85.63,85.72,85.78,85.86 | +| oven | 47.95,48.04,48.15,48.33,48.39,48.64,48.56,48.78,48.99,49.16,49.14 | +| ball | 42.64,42.64,42.71,42.63,42.54,42.51,42.48,42.53,42.51,42.51,42.46 | +| food | 54.85,54.87,54.87,54.88,55.03,55.07,55.02,54.84,54.87,54.89,54.9 | +| step | 6.62,6.66,6.66,6.69,6.78,6.67,6.85,6.79,6.76,6.78,6.77 | +| tank | 52.88,52.9,52.59,52.63,52.58,52.5,52.39,52.34,52.31,52.32,52.47 | +| trade name | 28.48,28.46,28.67,28.58,28.58,28.57,28.63,28.69,28.65,28.62,28.56 | +| microwave | 74.98,75.16,75.35,75.58,75.83,75.93,76.02,76.2,76.37,76.48,76.53 | +| pot | 31.1,31.18,31.2,31.38,31.52,31.65,31.89,32.02,32.1,32.17,32.25 | +| animal | 54.42,54.46,54.6,54.7,54.71,54.72,54.72,54.68,54.7,54.72,54.78 | +| bicycle | 54.01,54.09,54.28,54.31,54.36,54.45,54.58,54.88,54.96,54.96,55.22 | +| lake | 57.04,57.04,57.02,57.02,57.03,57.02,56.99,56.99,56.98,56.97,56.94 | +| dishwasher | 64.53,64.7,64.1,64.2,64.31,64.37,64.46,64.55,64.62,64.47,63.96 | +| screen | 68.51,68.26,67.75,67.34,67.33,67.16,66.98,66.92,66.81,66.79,67.31 | +| blanket | 18.21,18.21,18.35,18.17,18.19,18.06,17.89,17.79,17.73,17.76,17.74 | +| sculpture | 57.84,57.89,57.86,57.8,57.79,57.52,57.7,57.39,57.45,57.41,57.25 | +| hood | 57.15,56.85,56.92,56.71,56.23,55.98,55.78,55.75,55.52,55.39,55.24 | +| sconce | 41.81,41.69,41.93,41.81,41.83,42.04,42.06,41.96,42.1,42.15,42.19 | +| vase | 38.06,37.87,37.9,38.25,38.21,38.24,38.49,38.53,38.53,38.64,38.72 | +| traffic light | 32.78,33.1,32.9,33.24,33.27,33.49,33.65,33.71,33.82,34.06,34.06 | +| tray | 7.11,7.06,7.06,7.04,7.08,7.14,7.17,6.96,6.95,6.9,6.91 | +| ashcan | 39.18,39.24,39.01,39.09,39.05,38.93,38.92,39.04,39.09,39.09,38.91 | +| fan | 57.68,57.63,57.75,57.84,57.74,57.8,57.71,57.73,57.78,57.67,57.74 | +| pier | 44.68,44.69,44.93,45.41,45.89,45.79,46.09,47.06,47.83,48.3,48.64 | +| crt screen | 10.58,10.68,10.68,10.71,10.67,10.67,10.7,10.71,10.63,10.63,10.5 | +| plate | 52.84,53.1,53.09,53.39,53.45,53.57,53.65,53.83,54.01,54.08,54.08 | +| monitor | 19.16,19.07,18.83,18.67,18.69,18.35,18.16,17.97,17.76,17.66,17.64 | +| bulletin board | 36.16,36.48,36.23,36.46,36.58,36.67,36.72,36.64,36.77,36.78,36.72 | +| shower | 1.01,0.92,0.98,1.02,1.03,0.98,0.99,0.99,1.03,1.04,1.05 | +| radiator | 60.81,61.03,61.65,62.56,62.99,63.18,63.59,63.75,63.89,64.02,64.65 | +| glass | 13.63,13.66,13.68,13.6,13.64,13.72,13.72,13.66,13.65,13.73,13.66 | +| clock | 36.66,36.96,37.26,37.08,37.13,37.16,37.04,37.18,36.92,37.08,37.17 | +| flag | 36.74,36.59,36.5,36.37,36.1,36.42,36.13,36.07,36.08,36.15,35.96 | ++---------------------+-------------------------------------------------------------------+ +2023-03-04 05:32:00,111 - mmseg - INFO - Summary: +2023-03-04 05:32:00,111 - mmseg - INFO - ++------------------------------------------------------------------+ +| mIoU 0,10,20,30,40,50,60,70,80,90,99 | ++------------------------------------------------------------------+ +| 48.62,48.67,48.7,48.74,48.77,48.79,48.82,48.84,48.85,48.87,48.87 | ++------------------------------------------------------------------+ +2023-03-04 05:32:00,145 - mmseg - INFO - The previous best checkpoint /mnt/petrelfs/laizeqiang/mmseg-baseline/work_dirs2/ablation_segformer_mit_b2_segformer_head_unet_fc_small_multi_step_ade_single_stage/best_mIoU_iter_48000.pth was removed +2023-03-04 05:32:01,328 - mmseg - INFO - Now best checkpoint is saved as best_mIoU_iter_64000.pth. +2023-03-04 05:32:01,329 - mmseg - INFO - Best mIoU is 0.4887 at 64000 iter. +2023-03-04 05:32:01,329 - mmseg - INFO - Exp name: ablation_segformer_mit_b2_segformer_head_unet_fc_small_multi_step_ade_single_stage.py +2023-03-04 05:32:01,329 - mmseg - INFO - Iter(val) [250] mIoU: [0.4862, 0.4867, 0.487, 0.4874, 0.4877, 0.4879, 0.4882, 0.4884, 0.4885, 0.4887, 0.4887], copy_paste: 48.62,48.67,48.7,48.74,48.77,48.79,48.82,48.84,48.85,48.87,48.87 +2023-03-04 05:32:01,336 - mmseg - INFO - Swap parameters (before train) before iter [64001] +2023-03-04 05:32:11,385 - mmseg - INFO - Iter [64050/160000] lr: 1.875e-05, eta: 6:24:37, time: 13.217, data_time: 13.024, memory: 52540, decode.loss_ce: 0.1958, decode.acc_seg: 92.0108, loss: 0.1958 +2023-03-04 05:32:21,326 - mmseg - INFO - Iter [64100/160000] lr: 1.875e-05, eta: 6:24:22, time: 0.199, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1921, decode.acc_seg: 92.1680, loss: 0.1921 +2023-03-04 05:32:31,138 - mmseg - INFO - Iter [64150/160000] lr: 1.875e-05, eta: 6:24:07, time: 0.196, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1996, decode.acc_seg: 91.8068, loss: 0.1996 +2023-03-04 05:32:40,897 - mmseg - INFO - Iter [64200/160000] lr: 1.875e-05, eta: 6:23:51, time: 0.195, data_time: 0.008, memory: 52540, decode.loss_ce: 0.1897, decode.acc_seg: 92.3221, loss: 0.1897 +2023-03-04 05:32:50,746 - mmseg - INFO - Iter [64250/160000] lr: 1.875e-05, eta: 6:23:36, time: 0.197, data_time: 0.007, memory: 52540, decode.loss_ce: 0.2001, decode.acc_seg: 91.9114, loss: 0.2001 +2023-03-04 05:33:00,583 - mmseg - INFO - Iter [64300/160000] lr: 1.875e-05, eta: 6:23:21, time: 0.197, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1873, decode.acc_seg: 92.3255, loss: 0.1873 +2023-03-04 05:33:10,446 - mmseg - INFO - Iter [64350/160000] lr: 1.875e-05, eta: 6:23:06, time: 0.197, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1890, decode.acc_seg: 92.3154, loss: 0.1890 +2023-03-04 05:33:22,861 - mmseg - INFO - Iter [64400/160000] lr: 1.875e-05, eta: 6:22:54, time: 0.248, data_time: 0.058, memory: 52540, decode.loss_ce: 0.1783, decode.acc_seg: 92.4837, loss: 0.1783 +2023-03-04 05:33:33,072 - mmseg - INFO - Iter [64450/160000] lr: 1.875e-05, eta: 6:22:39, time: 0.204, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1830, decode.acc_seg: 92.4574, loss: 0.1830 +2023-03-04 05:33:42,707 - mmseg - INFO - Iter [64500/160000] lr: 1.875e-05, eta: 6:22:24, time: 0.193, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1927, decode.acc_seg: 92.1902, loss: 0.1927 +2023-03-04 05:33:52,519 - mmseg - INFO - Iter [64550/160000] lr: 1.875e-05, eta: 6:22:09, time: 0.196, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1944, decode.acc_seg: 92.0867, loss: 0.1944 +2023-03-04 05:34:02,660 - mmseg - INFO - Iter [64600/160000] lr: 1.875e-05, eta: 6:21:54, time: 0.203, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1885, decode.acc_seg: 92.3502, loss: 0.1885 +2023-03-04 05:34:12,727 - mmseg - INFO - Iter [64650/160000] lr: 1.875e-05, eta: 6:21:39, time: 0.201, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1906, decode.acc_seg: 92.2630, loss: 0.1906 +2023-03-04 05:34:22,455 - mmseg - INFO - Iter [64700/160000] lr: 1.875e-05, eta: 6:21:24, time: 0.195, data_time: 0.006, memory: 52540, decode.loss_ce: 0.1920, decode.acc_seg: 92.1788, loss: 0.1920 +2023-03-04 05:34:32,076 - mmseg - INFO - Iter [64750/160000] lr: 1.875e-05, eta: 6:21:08, time: 0.192, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1920, decode.acc_seg: 92.1664, loss: 0.1920 +2023-03-04 05:34:41,513 - mmseg - INFO - Iter [64800/160000] lr: 1.875e-05, eta: 6:20:52, time: 0.189, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1983, decode.acc_seg: 92.1026, loss: 0.1983 +2023-03-04 05:34:51,150 - mmseg - INFO - Iter [64850/160000] lr: 1.875e-05, eta: 6:20:37, time: 0.193, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1911, decode.acc_seg: 92.1586, loss: 0.1911 +2023-03-04 05:35:00,775 - mmseg - INFO - Iter [64900/160000] lr: 1.875e-05, eta: 6:20:21, time: 0.192, data_time: 0.006, memory: 52540, decode.loss_ce: 0.1839, decode.acc_seg: 92.4155, loss: 0.1839 +2023-03-04 05:35:10,565 - mmseg - INFO - Iter [64950/160000] lr: 1.875e-05, eta: 6:20:06, time: 0.196, data_time: 0.006, memory: 52540, decode.loss_ce: 0.1970, decode.acc_seg: 91.9741, loss: 0.1970 +2023-03-04 05:35:22,636 - mmseg - INFO - Exp name: ablation_segformer_mit_b2_segformer_head_unet_fc_small_multi_step_ade_single_stage.py +2023-03-04 05:35:22,636 - mmseg - INFO - Iter [65000/160000] lr: 1.875e-05, eta: 6:19:54, time: 0.242, data_time: 0.058, memory: 52540, decode.loss_ce: 0.2002, decode.acc_seg: 91.9515, loss: 0.2002 +2023-03-04 05:35:32,207 - mmseg - INFO - Iter [65050/160000] lr: 1.875e-05, eta: 6:19:39, time: 0.191, data_time: 0.006, memory: 52540, decode.loss_ce: 0.1898, decode.acc_seg: 92.2669, loss: 0.1898 +2023-03-04 05:35:42,255 - mmseg - INFO - Iter [65100/160000] lr: 1.875e-05, eta: 6:19:24, time: 0.201, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1938, decode.acc_seg: 92.1109, loss: 0.1938 +2023-03-04 05:35:51,824 - mmseg - INFO - Iter [65150/160000] lr: 1.875e-05, eta: 6:19:08, time: 0.191, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1878, decode.acc_seg: 92.3180, loss: 0.1878 +2023-03-04 05:36:01,429 - mmseg - INFO - Iter [65200/160000] lr: 1.875e-05, eta: 6:18:53, time: 0.192, data_time: 0.006, memory: 52540, decode.loss_ce: 0.1988, decode.acc_seg: 91.7482, loss: 0.1988 +2023-03-04 05:36:11,023 - mmseg - INFO - Iter [65250/160000] lr: 1.875e-05, eta: 6:18:37, time: 0.192, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1864, decode.acc_seg: 92.3480, loss: 0.1864 +2023-03-04 05:36:20,714 - mmseg - INFO - Iter [65300/160000] lr: 1.875e-05, eta: 6:18:22, time: 0.194, data_time: 0.006, memory: 52540, decode.loss_ce: 0.1846, decode.acc_seg: 92.4063, loss: 0.1846 +2023-03-04 05:36:30,336 - mmseg - INFO - Iter [65350/160000] lr: 1.875e-05, eta: 6:18:07, time: 0.192, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1881, decode.acc_seg: 92.3026, loss: 0.1881 +2023-03-04 05:36:40,101 - mmseg - INFO - Iter [65400/160000] lr: 1.875e-05, eta: 6:17:51, time: 0.195, data_time: 0.006, memory: 52540, decode.loss_ce: 0.1860, decode.acc_seg: 92.3492, loss: 0.1860 +2023-03-04 05:36:49,652 - mmseg - INFO - Iter [65450/160000] lr: 1.875e-05, eta: 6:17:36, time: 0.191, data_time: 0.006, memory: 52540, decode.loss_ce: 0.1917, decode.acc_seg: 92.1534, loss: 0.1917 +2023-03-04 05:36:59,607 - mmseg - INFO - Iter [65500/160000] lr: 1.875e-05, eta: 6:17:21, time: 0.199, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1869, decode.acc_seg: 92.2909, loss: 0.1869 +2023-03-04 05:37:09,355 - mmseg - INFO - Iter [65550/160000] lr: 1.875e-05, eta: 6:17:06, time: 0.195, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1882, decode.acc_seg: 92.1617, loss: 0.1882 +2023-03-04 05:37:19,274 - mmseg - INFO - Iter [65600/160000] lr: 1.875e-05, eta: 6:16:51, time: 0.198, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1923, decode.acc_seg: 91.9558, loss: 0.1923 +2023-03-04 05:37:31,215 - mmseg - INFO - Iter [65650/160000] lr: 1.875e-05, eta: 6:16:39, time: 0.239, data_time: 0.055, memory: 52540, decode.loss_ce: 0.1877, decode.acc_seg: 92.3468, loss: 0.1877 +2023-03-04 05:37:40,965 - mmseg - INFO - Iter [65700/160000] lr: 1.875e-05, eta: 6:16:24, time: 0.195, data_time: 0.006, memory: 52540, decode.loss_ce: 0.1884, decode.acc_seg: 92.2292, loss: 0.1884 +2023-03-04 05:37:50,452 - mmseg - INFO - Iter [65750/160000] lr: 1.875e-05, eta: 6:16:08, time: 0.190, data_time: 0.006, memory: 52540, decode.loss_ce: 0.1877, decode.acc_seg: 92.4039, loss: 0.1877 +2023-03-04 05:38:00,040 - mmseg - INFO - Iter [65800/160000] lr: 1.875e-05, eta: 6:15:53, time: 0.192, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1840, decode.acc_seg: 92.4205, loss: 0.1840 +2023-03-04 05:38:09,800 - mmseg - INFO - Iter [65850/160000] lr: 1.875e-05, eta: 6:15:38, time: 0.195, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1922, decode.acc_seg: 92.0997, loss: 0.1922 +2023-03-04 05:38:19,496 - mmseg - INFO - Iter [65900/160000] lr: 1.875e-05, eta: 6:15:22, time: 0.194, data_time: 0.006, memory: 52540, decode.loss_ce: 0.1876, decode.acc_seg: 92.1709, loss: 0.1876 +2023-03-04 05:38:29,103 - mmseg - INFO - Iter [65950/160000] lr: 1.875e-05, eta: 6:15:07, time: 0.192, data_time: 0.006, memory: 52540, decode.loss_ce: 0.1941, decode.acc_seg: 92.0493, loss: 0.1941 +2023-03-04 05:38:38,908 - mmseg - INFO - Exp name: ablation_segformer_mit_b2_segformer_head_unet_fc_small_multi_step_ade_single_stage.py +2023-03-04 05:38:38,908 - mmseg - INFO - Iter [66000/160000] lr: 1.875e-05, eta: 6:14:52, time: 0.196, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1875, decode.acc_seg: 92.5928, loss: 0.1875 +2023-03-04 05:38:48,507 - mmseg - INFO - Iter [66050/160000] lr: 1.875e-05, eta: 6:14:37, time: 0.192, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1940, decode.acc_seg: 92.2062, loss: 0.1940 +2023-03-04 05:38:58,250 - mmseg - INFO - Iter [66100/160000] lr: 1.875e-05, eta: 6:14:22, time: 0.195, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1893, decode.acc_seg: 92.1478, loss: 0.1893 +2023-03-04 05:39:07,843 - mmseg - INFO - Iter [66150/160000] lr: 1.875e-05, eta: 6:14:06, time: 0.192, data_time: 0.006, memory: 52540, decode.loss_ce: 0.1851, decode.acc_seg: 92.4406, loss: 0.1851 +2023-03-04 05:39:17,798 - mmseg - INFO - Iter [66200/160000] lr: 1.875e-05, eta: 6:13:51, time: 0.199, data_time: 0.006, memory: 52540, decode.loss_ce: 0.1940, decode.acc_seg: 91.9765, loss: 0.1940 +2023-03-04 05:39:27,278 - mmseg - INFO - Iter [66250/160000] lr: 1.875e-05, eta: 6:13:36, time: 0.190, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1980, decode.acc_seg: 91.9406, loss: 0.1980 +2023-03-04 05:39:39,546 - mmseg - INFO - Iter [66300/160000] lr: 1.875e-05, eta: 6:13:25, time: 0.245, data_time: 0.056, memory: 52540, decode.loss_ce: 0.1878, decode.acc_seg: 92.2710, loss: 0.1878 +2023-03-04 05:39:49,078 - mmseg - INFO - Iter [66350/160000] lr: 1.875e-05, eta: 6:13:09, time: 0.191, data_time: 0.006, memory: 52540, decode.loss_ce: 0.1857, decode.acc_seg: 92.4458, loss: 0.1857 +2023-03-04 05:39:58,643 - mmseg - INFO - Iter [66400/160000] lr: 1.875e-05, eta: 6:12:54, time: 0.191, data_time: 0.006, memory: 52540, decode.loss_ce: 0.1925, decode.acc_seg: 92.1516, loss: 0.1925 +2023-03-04 05:40:08,570 - mmseg - INFO - Iter [66450/160000] lr: 1.875e-05, eta: 6:12:39, time: 0.199, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1871, decode.acc_seg: 92.3110, loss: 0.1871 +2023-03-04 05:40:18,064 - mmseg - INFO - Iter [66500/160000] lr: 1.875e-05, eta: 6:12:24, time: 0.190, data_time: 0.006, memory: 52540, decode.loss_ce: 0.1898, decode.acc_seg: 92.1567, loss: 0.1898 +2023-03-04 05:40:27,611 - mmseg - INFO - Iter [66550/160000] lr: 1.875e-05, eta: 6:12:08, time: 0.191, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1898, decode.acc_seg: 92.3014, loss: 0.1898 +2023-03-04 05:40:37,053 - mmseg - INFO - Iter [66600/160000] lr: 1.875e-05, eta: 6:11:53, time: 0.189, data_time: 0.006, memory: 52540, decode.loss_ce: 0.1829, decode.acc_seg: 92.3168, loss: 0.1829 +2023-03-04 05:40:46,683 - mmseg - INFO - Iter [66650/160000] lr: 1.875e-05, eta: 6:11:38, time: 0.193, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1979, decode.acc_seg: 91.9573, loss: 0.1979 +2023-03-04 05:40:56,209 - mmseg - INFO - Iter [66700/160000] lr: 1.875e-05, eta: 6:11:22, time: 0.190, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1928, decode.acc_seg: 92.2654, loss: 0.1928 +2023-03-04 05:41:05,745 - mmseg - INFO - Iter [66750/160000] lr: 1.875e-05, eta: 6:11:07, time: 0.191, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1898, decode.acc_seg: 92.1781, loss: 0.1898 +2023-03-04 05:41:15,314 - mmseg - INFO - Iter [66800/160000] lr: 1.875e-05, eta: 6:10:52, time: 0.191, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1879, decode.acc_seg: 92.1892, loss: 0.1879 +2023-03-04 05:41:25,117 - mmseg - INFO - Iter [66850/160000] lr: 1.875e-05, eta: 6:10:37, time: 0.196, data_time: 0.006, memory: 52540, decode.loss_ce: 0.1920, decode.acc_seg: 92.1393, loss: 0.1920 +2023-03-04 05:41:37,150 - mmseg - INFO - Iter [66900/160000] lr: 1.875e-05, eta: 6:10:25, time: 0.241, data_time: 0.053, memory: 52540, decode.loss_ce: 0.1879, decode.acc_seg: 92.3001, loss: 0.1879 +2023-03-04 05:41:46,859 - mmseg - INFO - Iter [66950/160000] lr: 1.875e-05, eta: 6:10:10, time: 0.194, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1869, decode.acc_seg: 92.3809, loss: 0.1869 +2023-03-04 05:41:56,431 - mmseg - INFO - Exp name: ablation_segformer_mit_b2_segformer_head_unet_fc_small_multi_step_ade_single_stage.py +2023-03-04 05:41:56,431 - mmseg - INFO - Iter [67000/160000] lr: 1.875e-05, eta: 6:09:55, time: 0.191, data_time: 0.006, memory: 52540, decode.loss_ce: 0.1949, decode.acc_seg: 92.1334, loss: 0.1949 +2023-03-04 05:42:06,363 - mmseg - INFO - Iter [67050/160000] lr: 1.875e-05, eta: 6:09:40, time: 0.199, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1901, decode.acc_seg: 92.1535, loss: 0.1901 +2023-03-04 05:42:15,801 - mmseg - INFO - Iter [67100/160000] lr: 1.875e-05, eta: 6:09:25, time: 0.189, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1908, decode.acc_seg: 92.1627, loss: 0.1908 +2023-03-04 05:42:25,402 - mmseg - INFO - Iter [67150/160000] lr: 1.875e-05, eta: 6:09:10, time: 0.192, data_time: 0.006, memory: 52540, decode.loss_ce: 0.1909, decode.acc_seg: 92.1106, loss: 0.1909 +2023-03-04 05:42:35,142 - mmseg - INFO - Iter [67200/160000] lr: 1.875e-05, eta: 6:08:55, time: 0.195, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1909, decode.acc_seg: 92.0614, loss: 0.1909 +2023-03-04 05:42:44,714 - mmseg - INFO - Iter [67250/160000] lr: 1.875e-05, eta: 6:08:39, time: 0.191, data_time: 0.006, memory: 52540, decode.loss_ce: 0.1881, decode.acc_seg: 92.2574, loss: 0.1881 +2023-03-04 05:42:54,623 - mmseg - INFO - Iter [67300/160000] lr: 1.875e-05, eta: 6:08:25, time: 0.198, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1926, decode.acc_seg: 92.2339, loss: 0.1926 +2023-03-04 05:43:05,094 - mmseg - INFO - Iter [67350/160000] lr: 1.875e-05, eta: 6:08:11, time: 0.209, data_time: 0.006, memory: 52540, decode.loss_ce: 0.1830, decode.acc_seg: 92.5396, loss: 0.1830 +2023-03-04 05:43:14,798 - mmseg - INFO - Iter [67400/160000] lr: 1.875e-05, eta: 6:07:56, time: 0.194, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1901, decode.acc_seg: 92.2503, loss: 0.1901 +2023-03-04 05:43:24,401 - mmseg - INFO - Iter [67450/160000] lr: 1.875e-05, eta: 6:07:41, time: 0.192, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1875, decode.acc_seg: 92.1576, loss: 0.1875 +2023-03-04 05:43:33,993 - mmseg - INFO - Iter [67500/160000] lr: 1.875e-05, eta: 6:07:26, time: 0.192, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1869, decode.acc_seg: 92.2723, loss: 0.1869 +2023-03-04 05:43:46,223 - mmseg - INFO - Iter [67550/160000] lr: 1.875e-05, eta: 6:07:14, time: 0.245, data_time: 0.053, memory: 52540, decode.loss_ce: 0.1961, decode.acc_seg: 91.9659, loss: 0.1961 +2023-03-04 05:43:56,026 - mmseg - INFO - Iter [67600/160000] lr: 1.875e-05, eta: 6:06:59, time: 0.196, data_time: 0.006, memory: 52540, decode.loss_ce: 0.1977, decode.acc_seg: 91.7511, loss: 0.1977 +2023-03-04 05:44:05,640 - mmseg - INFO - Iter [67650/160000] lr: 1.875e-05, eta: 6:06:44, time: 0.192, data_time: 0.006, memory: 52540, decode.loss_ce: 0.1870, decode.acc_seg: 92.1865, loss: 0.1870 +2023-03-04 05:44:15,436 - mmseg - INFO - Iter [67700/160000] lr: 1.875e-05, eta: 6:06:29, time: 0.196, data_time: 0.006, memory: 52540, decode.loss_ce: 0.1925, decode.acc_seg: 92.1631, loss: 0.1925 +2023-03-04 05:44:25,207 - mmseg - INFO - Iter [67750/160000] lr: 1.875e-05, eta: 6:06:15, time: 0.195, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1929, decode.acc_seg: 92.1122, loss: 0.1929 +2023-03-04 05:44:34,847 - mmseg - INFO - Iter [67800/160000] lr: 1.875e-05, eta: 6:06:00, time: 0.193, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1892, decode.acc_seg: 92.1232, loss: 0.1892 +2023-03-04 05:44:44,311 - mmseg - INFO - Iter [67850/160000] lr: 1.875e-05, eta: 6:05:44, time: 0.189, data_time: 0.006, memory: 52540, decode.loss_ce: 0.1861, decode.acc_seg: 92.3213, loss: 0.1861 +2023-03-04 05:44:53,776 - mmseg - INFO - Iter [67900/160000] lr: 1.875e-05, eta: 6:05:29, time: 0.189, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1874, decode.acc_seg: 92.5328, loss: 0.1874 +2023-03-04 05:45:03,330 - mmseg - INFO - Iter [67950/160000] lr: 1.875e-05, eta: 6:05:14, time: 0.191, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1846, decode.acc_seg: 92.4581, loss: 0.1846 +2023-03-04 05:45:12,932 - mmseg - INFO - Exp name: ablation_segformer_mit_b2_segformer_head_unet_fc_small_multi_step_ade_single_stage.py +2023-03-04 05:45:12,932 - mmseg - INFO - Iter [68000/160000] lr: 1.875e-05, eta: 6:04:59, time: 0.192, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1990, decode.acc_seg: 91.9822, loss: 0.1990 +2023-03-04 05:45:22,838 - mmseg - INFO - Iter [68050/160000] lr: 1.875e-05, eta: 6:04:44, time: 0.198, data_time: 0.006, memory: 52540, decode.loss_ce: 0.1829, decode.acc_seg: 92.4200, loss: 0.1829 +2023-03-04 05:45:32,395 - mmseg - INFO - Iter [68100/160000] lr: 1.875e-05, eta: 6:04:29, time: 0.191, data_time: 0.006, memory: 52540, decode.loss_ce: 0.1927, decode.acc_seg: 92.1688, loss: 0.1927 +2023-03-04 05:45:44,362 - mmseg - INFO - Iter [68150/160000] lr: 1.875e-05, eta: 6:04:18, time: 0.239, data_time: 0.057, memory: 52540, decode.loss_ce: 0.1977, decode.acc_seg: 91.8632, loss: 0.1977 +2023-03-04 05:45:53,953 - mmseg - INFO - Iter [68200/160000] lr: 1.875e-05, eta: 6:04:03, time: 0.192, data_time: 0.006, memory: 52540, decode.loss_ce: 0.1899, decode.acc_seg: 92.2631, loss: 0.1899 +2023-03-04 05:46:03,642 - mmseg - INFO - Iter [68250/160000] lr: 1.875e-05, eta: 6:03:48, time: 0.194, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1961, decode.acc_seg: 91.8558, loss: 0.1961 +2023-03-04 05:46:13,401 - mmseg - INFO - Iter [68300/160000] lr: 1.875e-05, eta: 6:03:33, time: 0.195, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1811, decode.acc_seg: 92.4226, loss: 0.1811 +2023-03-04 05:46:23,039 - mmseg - INFO - Iter [68350/160000] lr: 1.875e-05, eta: 6:03:18, time: 0.193, data_time: 0.006, memory: 52540, decode.loss_ce: 0.1904, decode.acc_seg: 92.1998, loss: 0.1904 +2023-03-04 05:46:32,539 - mmseg - INFO - Iter [68400/160000] lr: 1.875e-05, eta: 6:03:03, time: 0.190, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1868, decode.acc_seg: 92.1872, loss: 0.1868 +2023-03-04 05:46:42,122 - mmseg - INFO - Iter [68450/160000] lr: 1.875e-05, eta: 6:02:48, time: 0.192, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1840, decode.acc_seg: 92.4552, loss: 0.1840 +2023-03-04 05:46:51,916 - mmseg - INFO - Iter [68500/160000] lr: 1.875e-05, eta: 6:02:33, time: 0.196, data_time: 0.006, memory: 52540, decode.loss_ce: 0.1901, decode.acc_seg: 92.3140, loss: 0.1901 +2023-03-04 05:47:01,629 - mmseg - INFO - Iter [68550/160000] lr: 1.875e-05, eta: 6:02:19, time: 0.194, data_time: 0.006, memory: 52540, decode.loss_ce: 0.1803, decode.acc_seg: 92.6917, loss: 0.1803 +2023-03-04 05:47:11,327 - mmseg - INFO - Iter [68600/160000] lr: 1.875e-05, eta: 6:02:04, time: 0.194, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1835, decode.acc_seg: 92.4399, loss: 0.1835 +2023-03-04 05:47:21,258 - mmseg - INFO - Iter [68650/160000] lr: 1.875e-05, eta: 6:01:49, time: 0.199, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1923, decode.acc_seg: 92.1449, loss: 0.1923 +2023-03-04 05:47:31,016 - mmseg - INFO - Iter [68700/160000] lr: 1.875e-05, eta: 6:01:35, time: 0.195, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1852, decode.acc_seg: 92.5495, loss: 0.1852 +2023-03-04 05:47:40,802 - mmseg - INFO - Iter [68750/160000] lr: 1.875e-05, eta: 6:01:20, time: 0.196, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1853, decode.acc_seg: 92.3506, loss: 0.1853 +2023-03-04 05:47:52,985 - mmseg - INFO - Iter [68800/160000] lr: 1.875e-05, eta: 6:01:08, time: 0.244, data_time: 0.057, memory: 52540, decode.loss_ce: 0.1903, decode.acc_seg: 92.1367, loss: 0.1903 +2023-03-04 05:48:02,540 - mmseg - INFO - Iter [68850/160000] lr: 1.875e-05, eta: 6:00:53, time: 0.191, data_time: 0.006, memory: 52540, decode.loss_ce: 0.1888, decode.acc_seg: 92.2331, loss: 0.1888 +2023-03-04 05:48:12,046 - mmseg - INFO - Iter [68900/160000] lr: 1.875e-05, eta: 6:00:38, time: 0.190, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1956, decode.acc_seg: 92.0731, loss: 0.1956 +2023-03-04 05:48:21,553 - mmseg - INFO - Iter [68950/160000] lr: 1.875e-05, eta: 6:00:23, time: 0.190, data_time: 0.006, memory: 52540, decode.loss_ce: 0.1954, decode.acc_seg: 92.0439, loss: 0.1954 +2023-03-04 05:48:31,015 - mmseg - INFO - Exp name: ablation_segformer_mit_b2_segformer_head_unet_fc_small_multi_step_ade_single_stage.py +2023-03-04 05:48:31,016 - mmseg - INFO - Iter [69000/160000] lr: 1.875e-05, eta: 6:00:08, time: 0.189, data_time: 0.006, memory: 52540, decode.loss_ce: 0.1828, decode.acc_seg: 92.4735, loss: 0.1828 +2023-03-04 05:48:40,626 - mmseg - INFO - Iter [69050/160000] lr: 1.875e-05, eta: 5:59:53, time: 0.192, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1909, decode.acc_seg: 92.2496, loss: 0.1909 +2023-03-04 05:48:50,102 - mmseg - INFO - Iter [69100/160000] lr: 1.875e-05, eta: 5:59:38, time: 0.190, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1979, decode.acc_seg: 91.9314, loss: 0.1979 +2023-03-04 05:48:59,854 - mmseg - INFO - Iter [69150/160000] lr: 1.875e-05, eta: 5:59:24, time: 0.195, data_time: 0.006, memory: 52540, decode.loss_ce: 0.1907, decode.acc_seg: 92.2564, loss: 0.1907 +2023-03-04 05:49:09,625 - mmseg - INFO - Iter [69200/160000] lr: 1.875e-05, eta: 5:59:09, time: 0.195, data_time: 0.006, memory: 52540, decode.loss_ce: 0.1917, decode.acc_seg: 92.0501, loss: 0.1917 +2023-03-04 05:49:19,349 - mmseg - INFO - Iter [69250/160000] lr: 1.875e-05, eta: 5:58:55, time: 0.194, data_time: 0.006, memory: 52540, decode.loss_ce: 0.1910, decode.acc_seg: 92.1920, loss: 0.1910 +2023-03-04 05:49:28,943 - mmseg - INFO - Iter [69300/160000] lr: 1.875e-05, eta: 5:58:40, time: 0.192, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1946, decode.acc_seg: 92.1100, loss: 0.1946 +2023-03-04 05:49:38,645 - mmseg - INFO - Iter [69350/160000] lr: 1.875e-05, eta: 5:58:25, time: 0.194, data_time: 0.007, memory: 52540, decode.loss_ce: 0.2069, decode.acc_seg: 91.8231, loss: 0.2069 +2023-03-04 05:49:48,180 - mmseg - INFO - Iter [69400/160000] lr: 1.875e-05, eta: 5:58:10, time: 0.191, data_time: 0.006, memory: 52540, decode.loss_ce: 0.1861, decode.acc_seg: 92.2739, loss: 0.1861 +2023-03-04 05:50:00,244 - mmseg - INFO - Iter [69450/160000] lr: 1.875e-05, eta: 5:57:59, time: 0.241, data_time: 0.055, memory: 52540, decode.loss_ce: 0.1847, decode.acc_seg: 92.2975, loss: 0.1847 +2023-03-04 05:50:09,809 - mmseg - INFO - Iter [69500/160000] lr: 1.875e-05, eta: 5:57:44, time: 0.191, data_time: 0.006, memory: 52540, decode.loss_ce: 0.1872, decode.acc_seg: 92.2526, loss: 0.1872 +2023-03-04 05:50:19,604 - mmseg - INFO - Iter [69550/160000] lr: 1.875e-05, eta: 5:57:29, time: 0.196, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1897, decode.acc_seg: 92.2845, loss: 0.1897 +2023-03-04 05:50:29,192 - mmseg - INFO - Iter [69600/160000] lr: 1.875e-05, eta: 5:57:14, time: 0.192, data_time: 0.006, memory: 52540, decode.loss_ce: 0.1855, decode.acc_seg: 92.4806, loss: 0.1855 +2023-03-04 05:50:38,655 - mmseg - INFO - Iter [69650/160000] lr: 1.875e-05, eta: 5:56:59, time: 0.189, data_time: 0.006, memory: 52540, decode.loss_ce: 0.1906, decode.acc_seg: 92.1855, loss: 0.1906 +2023-03-04 05:50:48,397 - mmseg - INFO - Iter [69700/160000] lr: 1.875e-05, eta: 5:56:45, time: 0.195, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1905, decode.acc_seg: 92.2606, loss: 0.1905 +2023-03-04 05:50:57,917 - mmseg - INFO - Iter [69750/160000] lr: 1.875e-05, eta: 5:56:30, time: 0.190, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1891, decode.acc_seg: 92.1229, loss: 0.1891 +2023-03-04 05:51:07,566 - mmseg - INFO - Iter [69800/160000] lr: 1.875e-05, eta: 5:56:15, time: 0.193, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1883, decode.acc_seg: 92.1717, loss: 0.1883 +2023-03-04 05:51:17,084 - mmseg - INFO - Iter [69850/160000] lr: 1.875e-05, eta: 5:56:00, time: 0.190, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1852, decode.acc_seg: 92.3664, loss: 0.1852 +2023-03-04 05:51:26,833 - mmseg - INFO - Iter [69900/160000] lr: 1.875e-05, eta: 5:55:46, time: 0.195, data_time: 0.006, memory: 52540, decode.loss_ce: 0.1955, decode.acc_seg: 92.1305, loss: 0.1955 +2023-03-04 05:51:36,293 - mmseg - INFO - Iter [69950/160000] lr: 1.875e-05, eta: 5:55:31, time: 0.189, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1924, decode.acc_seg: 92.0908, loss: 0.1924 +2023-03-04 05:51:45,843 - mmseg - INFO - Exp name: ablation_segformer_mit_b2_segformer_head_unet_fc_small_multi_step_ade_single_stage.py +2023-03-04 05:51:45,844 - mmseg - INFO - Iter [70000/160000] lr: 1.875e-05, eta: 5:55:16, time: 0.191, data_time: 0.006, memory: 52540, decode.loss_ce: 0.1824, decode.acc_seg: 92.5000, loss: 0.1824 +2023-03-04 05:51:58,282 - mmseg - INFO - Iter [70050/160000] lr: 1.875e-05, eta: 5:55:05, time: 0.249, data_time: 0.054, memory: 52540, decode.loss_ce: 0.1893, decode.acc_seg: 92.3048, loss: 0.1893 +2023-03-04 05:52:08,194 - mmseg - INFO - Iter [70100/160000] lr: 1.875e-05, eta: 5:54:51, time: 0.198, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1933, decode.acc_seg: 92.0577, loss: 0.1933 +2023-03-04 05:52:17,988 - mmseg - INFO - Iter [70150/160000] lr: 1.875e-05, eta: 5:54:36, time: 0.196, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1865, decode.acc_seg: 92.1961, loss: 0.1865 +2023-03-04 05:52:27,625 - mmseg - INFO - Iter [70200/160000] lr: 1.875e-05, eta: 5:54:22, time: 0.193, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1902, decode.acc_seg: 92.2150, loss: 0.1902 +2023-03-04 05:52:37,399 - mmseg - INFO - Iter [70250/160000] lr: 1.875e-05, eta: 5:54:07, time: 0.195, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1901, decode.acc_seg: 92.1951, loss: 0.1901 +2023-03-04 05:52:47,331 - mmseg - INFO - Iter [70300/160000] lr: 1.875e-05, eta: 5:53:53, time: 0.199, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1927, decode.acc_seg: 92.0530, loss: 0.1927 +2023-03-04 05:52:56,924 - mmseg - INFO - Iter [70350/160000] lr: 1.875e-05, eta: 5:53:38, time: 0.192, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1968, decode.acc_seg: 92.0186, loss: 0.1968 +2023-03-04 05:53:06,457 - mmseg - INFO - Iter [70400/160000] lr: 1.875e-05, eta: 5:53:23, time: 0.191, data_time: 0.006, memory: 52540, decode.loss_ce: 0.1787, decode.acc_seg: 92.7215, loss: 0.1787 +2023-03-04 05:53:16,248 - mmseg - INFO - Iter [70450/160000] lr: 1.875e-05, eta: 5:53:09, time: 0.196, data_time: 0.006, memory: 52540, decode.loss_ce: 0.1800, decode.acc_seg: 92.5605, loss: 0.1800 +2023-03-04 05:53:26,052 - mmseg - INFO - Iter [70500/160000] lr: 1.875e-05, eta: 5:52:54, time: 0.196, data_time: 0.006, memory: 52540, decode.loss_ce: 0.1996, decode.acc_seg: 91.9249, loss: 0.1996 +2023-03-04 05:53:35,846 - mmseg - INFO - Iter [70550/160000] lr: 1.875e-05, eta: 5:52:40, time: 0.196, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1812, decode.acc_seg: 92.4543, loss: 0.1812 +2023-03-04 05:53:45,682 - mmseg - INFO - Iter [70600/160000] lr: 1.875e-05, eta: 5:52:26, time: 0.197, data_time: 0.006, memory: 52540, decode.loss_ce: 0.1907, decode.acc_seg: 92.0581, loss: 0.1907 +2023-03-04 05:53:55,239 - mmseg - INFO - Iter [70650/160000] lr: 1.875e-05, eta: 5:52:11, time: 0.191, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1893, decode.acc_seg: 92.2999, loss: 0.1893 +2023-03-04 05:54:07,497 - mmseg - INFO - Iter [70700/160000] lr: 1.875e-05, eta: 5:52:00, time: 0.245, data_time: 0.053, memory: 52540, decode.loss_ce: 0.1860, decode.acc_seg: 92.3523, loss: 0.1860 +2023-03-04 05:54:17,291 - mmseg - INFO - Iter [70750/160000] lr: 1.875e-05, eta: 5:51:45, time: 0.196, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1815, decode.acc_seg: 92.5990, loss: 0.1815 +2023-03-04 05:54:26,945 - mmseg - INFO - Iter [70800/160000] lr: 1.875e-05, eta: 5:51:31, time: 0.193, data_time: 0.006, memory: 52540, decode.loss_ce: 0.1881, decode.acc_seg: 92.2379, loss: 0.1881 +2023-03-04 05:54:36,683 - mmseg - INFO - Iter [70850/160000] lr: 1.875e-05, eta: 5:51:16, time: 0.195, data_time: 0.006, memory: 52540, decode.loss_ce: 0.1844, decode.acc_seg: 92.3393, loss: 0.1844 +2023-03-04 05:54:46,361 - mmseg - INFO - Iter [70900/160000] lr: 1.875e-05, eta: 5:51:02, time: 0.194, data_time: 0.006, memory: 52540, decode.loss_ce: 0.1939, decode.acc_seg: 92.1349, loss: 0.1939 +2023-03-04 05:54:56,000 - mmseg - INFO - Iter [70950/160000] lr: 1.875e-05, eta: 5:50:47, time: 0.193, data_time: 0.006, memory: 52540, decode.loss_ce: 0.1925, decode.acc_seg: 91.9076, loss: 0.1925 +2023-03-04 05:55:05,857 - mmseg - INFO - Exp name: ablation_segformer_mit_b2_segformer_head_unet_fc_small_multi_step_ade_single_stage.py +2023-03-04 05:55:05,858 - mmseg - INFO - Iter [71000/160000] lr: 1.875e-05, eta: 5:50:33, time: 0.197, data_time: 0.006, memory: 52540, decode.loss_ce: 0.1919, decode.acc_seg: 92.1185, loss: 0.1919 +2023-03-04 05:55:15,476 - mmseg - INFO - Iter [71050/160000] lr: 1.875e-05, eta: 5:50:18, time: 0.192, data_time: 0.006, memory: 52540, decode.loss_ce: 0.1863, decode.acc_seg: 92.2103, loss: 0.1863 +2023-03-04 05:55:25,238 - mmseg - INFO - Iter [71100/160000] lr: 1.875e-05, eta: 5:50:04, time: 0.195, data_time: 0.006, memory: 52540, decode.loss_ce: 0.1892, decode.acc_seg: 92.1749, loss: 0.1892 +2023-03-04 05:55:34,845 - mmseg - INFO - Iter [71150/160000] lr: 1.875e-05, eta: 5:49:50, time: 0.192, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1876, decode.acc_seg: 92.4344, loss: 0.1876 +2023-03-04 05:55:44,607 - mmseg - INFO - Iter [71200/160000] lr: 1.875e-05, eta: 5:49:35, time: 0.195, data_time: 0.006, memory: 52540, decode.loss_ce: 0.1826, decode.acc_seg: 92.3798, loss: 0.1826 +2023-03-04 05:55:54,303 - mmseg - INFO - Iter [71250/160000] lr: 1.875e-05, eta: 5:49:21, time: 0.194, data_time: 0.006, memory: 52540, decode.loss_ce: 0.1909, decode.acc_seg: 92.2002, loss: 0.1909 +2023-03-04 05:56:03,866 - mmseg 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INFO - Iter [71550/160000] lr: 1.875e-05, eta: 5:47:57, time: 0.190, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1913, decode.acc_seg: 92.0493, loss: 0.1913 +2023-03-04 05:57:04,359 - mmseg - INFO - Iter [71600/160000] lr: 1.875e-05, eta: 5:47:42, time: 0.194, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1890, decode.acc_seg: 92.1621, loss: 0.1890 +2023-03-04 05:57:13,875 - mmseg - INFO - Iter [71650/160000] lr: 1.875e-05, eta: 5:47:28, time: 0.190, data_time: 0.006, memory: 52540, decode.loss_ce: 0.1916, decode.acc_seg: 92.1425, loss: 0.1916 +2023-03-04 05:57:23,466 - mmseg - INFO - Iter [71700/160000] lr: 1.875e-05, eta: 5:47:13, time: 0.192, data_time: 0.006, memory: 52540, decode.loss_ce: 0.1904, decode.acc_seg: 92.1058, loss: 0.1904 +2023-03-04 05:57:33,210 - mmseg - INFO - Iter [71750/160000] lr: 1.875e-05, eta: 5:46:59, time: 0.195, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1849, decode.acc_seg: 92.5144, loss: 0.1849 +2023-03-04 05:57:42,782 - mmseg - INFO 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data_time: 0.006, memory: 52540, decode.loss_ce: 0.1891, decode.acc_seg: 92.2822, loss: 0.1891 +2023-03-04 05:58:34,046 - mmseg - INFO - Iter [72050/160000] lr: 1.875e-05, eta: 5:45:36, time: 0.195, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1855, decode.acc_seg: 92.3555, loss: 0.1855 +2023-03-04 05:58:43,822 - mmseg - INFO - Iter [72100/160000] lr: 1.875e-05, eta: 5:45:22, time: 0.196, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1859, decode.acc_seg: 92.2717, loss: 0.1859 +2023-03-04 05:58:53,601 - mmseg - INFO - Iter [72150/160000] lr: 1.875e-05, eta: 5:45:08, time: 0.196, data_time: 0.006, memory: 52540, decode.loss_ce: 0.1821, decode.acc_seg: 92.3361, loss: 0.1821 +2023-03-04 05:59:03,091 - mmseg - INFO - Iter [72200/160000] lr: 1.875e-05, eta: 5:44:53, time: 0.190, data_time: 0.006, memory: 52540, decode.loss_ce: 0.1902, decode.acc_seg: 92.3714, loss: 0.1902 +2023-03-04 05:59:12,711 - mmseg - INFO - Iter [72250/160000] lr: 1.875e-05, eta: 5:44:39, time: 0.192, data_time: 0.006, memory: 52540, decode.loss_ce: 0.1911, decode.acc_seg: 92.2737, loss: 0.1911 +2023-03-04 05:59:22,335 - mmseg - INFO - Iter [72300/160000] lr: 1.875e-05, eta: 5:44:24, time: 0.192, data_time: 0.006, memory: 52540, decode.loss_ce: 0.1908, decode.acc_seg: 92.1425, loss: 0.1908 +2023-03-04 05:59:32,190 - mmseg - INFO - Iter [72350/160000] lr: 1.875e-05, eta: 5:44:10, time: 0.197, data_time: 0.006, memory: 52540, decode.loss_ce: 0.1849, decode.acc_seg: 92.4509, loss: 0.1849 +2023-03-04 05:59:41,663 - mmseg - INFO - Iter [72400/160000] lr: 1.875e-05, eta: 5:43:56, time: 0.189, data_time: 0.006, memory: 52540, decode.loss_ce: 0.1913, decode.acc_seg: 92.0536, loss: 0.1913 +2023-03-04 05:59:51,421 - mmseg - INFO - Iter [72450/160000] lr: 1.875e-05, eta: 5:43:41, time: 0.195, data_time: 0.006, memory: 52540, decode.loss_ce: 0.1937, decode.acc_seg: 92.1448, loss: 0.1937 +2023-03-04 06:00:01,103 - mmseg - INFO - Iter [72500/160000] lr: 1.875e-05, eta: 5:43:27, time: 0.194, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1928, decode.acc_seg: 92.0369, loss: 0.1928 +2023-03-04 06:00:11,132 - mmseg - INFO - Iter [72550/160000] lr: 1.875e-05, eta: 5:43:13, time: 0.201, data_time: 0.006, memory: 52540, decode.loss_ce: 0.1978, decode.acc_seg: 91.9728, loss: 0.1978 +2023-03-04 06:00:23,077 - mmseg - INFO - Iter [72600/160000] lr: 1.875e-05, eta: 5:43:02, time: 0.239, data_time: 0.054, memory: 52540, decode.loss_ce: 0.1903, decode.acc_seg: 92.1898, loss: 0.1903 +2023-03-04 06:00:32,650 - mmseg - INFO - Iter [72650/160000] lr: 1.875e-05, eta: 5:42:47, time: 0.191, data_time: 0.006, memory: 52540, decode.loss_ce: 0.1897, decode.acc_seg: 92.2309, loss: 0.1897 +2023-03-04 06:00:42,362 - mmseg - INFO - Iter [72700/160000] lr: 1.875e-05, eta: 5:42:33, time: 0.194, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1919, decode.acc_seg: 92.1801, loss: 0.1919 +2023-03-04 06:00:52,119 - mmseg - INFO - Iter [72750/160000] lr: 1.875e-05, eta: 5:42:19, time: 0.195, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1887, decode.acc_seg: 92.2212, loss: 0.1887 +2023-03-04 06:01:01,772 - mmseg - INFO - Iter [72800/160000] lr: 1.875e-05, eta: 5:42:04, time: 0.193, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1848, decode.acc_seg: 92.4878, loss: 0.1848 +2023-03-04 06:01:11,557 - mmseg - INFO - Iter [72850/160000] lr: 1.875e-05, eta: 5:41:50, time: 0.196, data_time: 0.006, memory: 52540, decode.loss_ce: 0.1744, decode.acc_seg: 92.8418, loss: 0.1744 +2023-03-04 06:01:21,258 - mmseg - INFO - Iter [72900/160000] lr: 1.875e-05, eta: 5:41:36, time: 0.194, data_time: 0.006, memory: 52540, decode.loss_ce: 0.1820, decode.acc_seg: 92.4980, loss: 0.1820 +2023-03-04 06:01:31,048 - mmseg - INFO - Iter [72950/160000] lr: 1.875e-05, eta: 5:41:22, time: 0.196, data_time: 0.006, memory: 52540, decode.loss_ce: 0.1911, decode.acc_seg: 92.1365, loss: 0.1911 +2023-03-04 06:01:40,669 - mmseg - INFO - Exp name: ablation_segformer_mit_b2_segformer_head_unet_fc_small_multi_step_ade_single_stage.py +2023-03-04 06:01:40,669 - mmseg - INFO - Iter [73000/160000] lr: 1.875e-05, eta: 5:41:08, time: 0.192, data_time: 0.006, memory: 52540, decode.loss_ce: 0.1848, decode.acc_seg: 92.4629, loss: 0.1848 +2023-03-04 06:01:50,352 - mmseg - INFO - Iter [73050/160000] lr: 1.875e-05, eta: 5:40:53, time: 0.194, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1859, decode.acc_seg: 92.4713, loss: 0.1859 +2023-03-04 06:01:59,861 - mmseg - INFO - Iter [73100/160000] lr: 1.875e-05, eta: 5:40:39, time: 0.190, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1934, decode.acc_seg: 92.0147, loss: 0.1934 +2023-03-04 06:02:09,741 - mmseg - INFO - Iter [73150/160000] lr: 1.875e-05, eta: 5:40:25, time: 0.198, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1843, decode.acc_seg: 92.4373, loss: 0.1843 +2023-03-04 06:02:21,859 - mmseg - INFO - Iter [73200/160000] lr: 1.875e-05, eta: 5:40:14, time: 0.242, data_time: 0.055, memory: 52540, decode.loss_ce: 0.1973, decode.acc_seg: 91.9257, loss: 0.1973 +2023-03-04 06:02:31,593 - mmseg - INFO - Iter [73250/160000] lr: 1.875e-05, eta: 5:39:59, time: 0.195, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1871, decode.acc_seg: 92.3917, loss: 0.1871 +2023-03-04 06:02:41,122 - mmseg - INFO - Iter [73300/160000] lr: 1.875e-05, eta: 5:39:45, time: 0.191, data_time: 0.006, memory: 52540, decode.loss_ce: 0.1937, decode.acc_seg: 92.1409, loss: 0.1937 +2023-03-04 06:02:50,588 - mmseg - INFO - Iter [73350/160000] lr: 1.875e-05, eta: 5:39:31, time: 0.189, data_time: 0.006, memory: 52540, decode.loss_ce: 0.1879, decode.acc_seg: 92.2838, loss: 0.1879 +2023-03-04 06:03:00,515 - mmseg - INFO - Iter [73400/160000] lr: 1.875e-05, eta: 5:39:17, time: 0.199, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1805, decode.acc_seg: 92.4117, loss: 0.1805 +2023-03-04 06:03:10,126 - mmseg - INFO - Iter [73450/160000] lr: 1.875e-05, eta: 5:39:02, time: 0.192, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1892, decode.acc_seg: 92.2955, loss: 0.1892 +2023-03-04 06:03:19,761 - mmseg - INFO - Iter [73500/160000] lr: 1.875e-05, eta: 5:38:48, time: 0.193, data_time: 0.006, memory: 52540, decode.loss_ce: 0.1919, decode.acc_seg: 92.1372, loss: 0.1919 +2023-03-04 06:03:29,542 - mmseg - INFO - Iter [73550/160000] lr: 1.875e-05, eta: 5:38:34, time: 0.196, data_time: 0.006, memory: 52540, decode.loss_ce: 0.1835, decode.acc_seg: 92.4399, loss: 0.1835 +2023-03-04 06:03:39,077 - mmseg - INFO - Iter [73600/160000] lr: 1.875e-05, eta: 5:38:20, time: 0.191, data_time: 0.006, memory: 52540, decode.loss_ce: 0.1939, decode.acc_seg: 92.0402, loss: 0.1939 +2023-03-04 06:03:48,572 - mmseg - INFO - Iter [73650/160000] lr: 1.875e-05, eta: 5:38:05, time: 0.190, data_time: 0.006, memory: 52540, decode.loss_ce: 0.1998, decode.acc_seg: 91.8984, loss: 0.1998 +2023-03-04 06:03:58,570 - mmseg - INFO - Iter [73700/160000] lr: 1.875e-05, eta: 5:37:52, time: 0.200, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1805, decode.acc_seg: 92.7082, loss: 0.1805 +2023-03-04 06:04:08,161 - mmseg - INFO - Iter [73750/160000] lr: 1.875e-05, eta: 5:37:37, time: 0.192, data_time: 0.006, memory: 52540, decode.loss_ce: 0.1903, decode.acc_seg: 92.2803, loss: 0.1903 +2023-03-04 06:04:17,845 - mmseg - INFO - Iter [73800/160000] lr: 1.875e-05, eta: 5:37:23, time: 0.194, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1820, decode.acc_seg: 92.5155, loss: 0.1820 +2023-03-04 06:04:29,959 - mmseg - INFO - Iter [73850/160000] lr: 1.875e-05, eta: 5:37:12, time: 0.242, data_time: 0.055, memory: 52540, decode.loss_ce: 0.1909, decode.acc_seg: 92.1849, loss: 0.1909 +2023-03-04 06:04:39,672 - mmseg - INFO - Iter [73900/160000] lr: 1.875e-05, eta: 5:36:58, time: 0.195, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1902, decode.acc_seg: 92.0424, loss: 0.1902 +2023-03-04 06:04:49,205 - mmseg - INFO - Iter [73950/160000] lr: 1.875e-05, eta: 5:36:43, time: 0.191, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1868, decode.acc_seg: 92.1283, loss: 0.1868 +2023-03-04 06:04:59,314 - mmseg - INFO - Exp name: ablation_segformer_mit_b2_segformer_head_unet_fc_small_multi_step_ade_single_stage.py +2023-03-04 06:04:59,314 - mmseg - INFO - Iter [74000/160000] lr: 1.875e-05, eta: 5:36:30, time: 0.202, data_time: 0.006, memory: 52540, decode.loss_ce: 0.1872, decode.acc_seg: 92.3296, loss: 0.1872 +2023-03-04 06:05:09,086 - mmseg - INFO - Iter [74050/160000] lr: 1.875e-05, eta: 5:36:16, time: 0.195, data_time: 0.006, memory: 52540, decode.loss_ce: 0.1921, decode.acc_seg: 92.1427, loss: 0.1921 +2023-03-04 06:05:18,703 - mmseg - INFO - Iter [74100/160000] lr: 1.875e-05, eta: 5:36:02, time: 0.192, data_time: 0.006, memory: 52540, decode.loss_ce: 0.1852, decode.acc_seg: 92.4466, loss: 0.1852 +2023-03-04 06:05:28,283 - mmseg - INFO - Iter [74150/160000] lr: 1.875e-05, eta: 5:35:47, time: 0.192, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1934, decode.acc_seg: 92.1023, loss: 0.1934 +2023-03-04 06:05:37,914 - mmseg - INFO - Iter [74200/160000] lr: 1.875e-05, eta: 5:35:33, time: 0.193, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1828, decode.acc_seg: 92.4704, loss: 0.1828 +2023-03-04 06:05:47,434 - mmseg - INFO - Iter [74250/160000] lr: 1.875e-05, eta: 5:35:19, time: 0.190, data_time: 0.006, memory: 52540, decode.loss_ce: 0.1852, decode.acc_seg: 92.4374, loss: 0.1852 +2023-03-04 06:05:57,188 - mmseg - INFO - Iter [74300/160000] lr: 1.875e-05, eta: 5:35:05, time: 0.195, data_time: 0.006, memory: 52540, decode.loss_ce: 0.1891, decode.acc_seg: 92.1725, loss: 0.1891 +2023-03-04 06:06:06,760 - mmseg - INFO - Iter [74350/160000] lr: 1.875e-05, eta: 5:34:51, time: 0.191, data_time: 0.006, memory: 52540, decode.loss_ce: 0.1848, decode.acc_seg: 92.4197, loss: 0.1848 +2023-03-04 06:06:16,436 - mmseg - INFO - Iter [74400/160000] lr: 1.875e-05, eta: 5:34:37, time: 0.193, data_time: 0.006, memory: 52540, decode.loss_ce: 0.1995, decode.acc_seg: 91.9353, loss: 0.1995 +2023-03-04 06:06:26,265 - mmseg - INFO - Iter [74450/160000] lr: 1.875e-05, eta: 5:34:23, time: 0.197, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1897, decode.acc_seg: 92.1871, loss: 0.1897 +2023-03-04 06:06:38,412 - mmseg - INFO - Iter [74500/160000] lr: 1.875e-05, eta: 5:34:11, time: 0.243, data_time: 0.055, memory: 52540, decode.loss_ce: 0.1983, decode.acc_seg: 92.0331, loss: 0.1983 +2023-03-04 06:06:47,942 - mmseg - INFO - Iter [74550/160000] lr: 1.875e-05, eta: 5:33:57, time: 0.191, data_time: 0.006, memory: 52540, decode.loss_ce: 0.1879, decode.acc_seg: 92.4599, loss: 0.1879 +2023-03-04 06:06:57,776 - mmseg - INFO - Iter [74600/160000] lr: 1.875e-05, eta: 5:33:43, time: 0.197, data_time: 0.006, memory: 52540, decode.loss_ce: 0.1841, decode.acc_seg: 92.4693, loss: 0.1841 +2023-03-04 06:07:07,231 - mmseg - INFO - Iter [74650/160000] lr: 1.875e-05, eta: 5:33:29, time: 0.189, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1851, decode.acc_seg: 92.2797, loss: 0.1851 +2023-03-04 06:07:16,892 - mmseg - INFO - Iter [74700/160000] lr: 1.875e-05, eta: 5:33:15, time: 0.193, data_time: 0.006, memory: 52540, decode.loss_ce: 0.1831, decode.acc_seg: 92.3804, loss: 0.1831 +2023-03-04 06:07:26,502 - mmseg - INFO - Iter [74750/160000] lr: 1.875e-05, eta: 5:33:01, time: 0.192, data_time: 0.006, memory: 52540, decode.loss_ce: 0.1857, decode.acc_seg: 92.4550, loss: 0.1857 +2023-03-04 06:07:36,741 - mmseg - INFO - Iter [74800/160000] lr: 1.875e-05, eta: 5:32:47, time: 0.205, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1968, decode.acc_seg: 91.8800, loss: 0.1968 +2023-03-04 06:07:46,314 - mmseg - INFO - Iter [74850/160000] lr: 1.875e-05, eta: 5:32:33, time: 0.191, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1939, decode.acc_seg: 92.2086, loss: 0.1939 +2023-03-04 06:07:55,864 - mmseg - INFO - Iter [74900/160000] lr: 1.875e-05, eta: 5:32:19, time: 0.191, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1841, decode.acc_seg: 92.4915, loss: 0.1841 +2023-03-04 06:08:05,586 - mmseg - INFO - Iter [74950/160000] lr: 1.875e-05, eta: 5:32:05, time: 0.194, data_time: 0.006, memory: 52540, decode.loss_ce: 0.1882, decode.acc_seg: 92.3254, loss: 0.1882 +2023-03-04 06:08:15,083 - mmseg - INFO - Exp name: ablation_segformer_mit_b2_segformer_head_unet_fc_small_multi_step_ade_single_stage.py +2023-03-04 06:08:15,083 - mmseg - INFO - Iter [75000/160000] lr: 1.875e-05, eta: 5:31:51, time: 0.190, data_time: 0.006, memory: 52540, decode.loss_ce: 0.1855, decode.acc_seg: 92.3617, loss: 0.1855 +2023-03-04 06:08:24,489 - mmseg - INFO - Iter [75050/160000] lr: 1.875e-05, eta: 5:31:36, time: 0.188, data_time: 0.006, memory: 52540, decode.loss_ce: 0.1848, decode.acc_seg: 92.2379, loss: 0.1848 +2023-03-04 06:08:36,606 - mmseg - INFO - Iter [75100/160000] lr: 1.875e-05, eta: 5:31:25, time: 0.242, data_time: 0.056, memory: 52540, decode.loss_ce: 0.1906, decode.acc_seg: 92.1386, loss: 0.1906 +2023-03-04 06:08:46,046 - mmseg - INFO - Iter [75150/160000] lr: 1.875e-05, eta: 5:31:11, time: 0.189, data_time: 0.006, memory: 52540, decode.loss_ce: 0.1892, decode.acc_seg: 92.2606, loss: 0.1892 +2023-03-04 06:08:55,758 - mmseg - INFO - Iter [75200/160000] lr: 1.875e-05, eta: 5:30:57, time: 0.194, data_time: 0.006, memory: 52540, decode.loss_ce: 0.1841, decode.acc_seg: 92.4721, loss: 0.1841 +2023-03-04 06:09:05,667 - mmseg - INFO - Iter [75250/160000] lr: 1.875e-05, eta: 5:30:43, time: 0.198, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1856, decode.acc_seg: 92.2665, loss: 0.1856 +2023-03-04 06:09:15,144 - mmseg - INFO - Iter [75300/160000] lr: 1.875e-05, eta: 5:30:29, time: 0.190, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1922, decode.acc_seg: 92.1551, loss: 0.1922 +2023-03-04 06:09:24,677 - mmseg - INFO - Iter [75350/160000] lr: 1.875e-05, eta: 5:30:15, time: 0.191, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1931, decode.acc_seg: 92.1912, loss: 0.1931 +2023-03-04 06:09:34,499 - mmseg - INFO - Iter [75400/160000] lr: 1.875e-05, eta: 5:30:01, time: 0.196, data_time: 0.006, memory: 52540, decode.loss_ce: 0.1936, decode.acc_seg: 91.9253, loss: 0.1936 +2023-03-04 06:09:44,080 - mmseg - INFO - Iter [75450/160000] lr: 1.875e-05, eta: 5:29:47, time: 0.192, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1904, decode.acc_seg: 92.2228, loss: 0.1904 +2023-03-04 06:09:53,646 - mmseg - INFO - Iter [75500/160000] lr: 1.875e-05, eta: 5:29:33, time: 0.191, data_time: 0.006, memory: 52540, decode.loss_ce: 0.1848, decode.acc_seg: 92.4539, loss: 0.1848 +2023-03-04 06:10:03,334 - mmseg - INFO - Iter [75550/160000] lr: 1.875e-05, eta: 5:29:19, time: 0.194, data_time: 0.006, memory: 52540, decode.loss_ce: 0.1924, decode.acc_seg: 91.9909, loss: 0.1924 +2023-03-04 06:10:12,909 - mmseg - INFO - Iter [75600/160000] lr: 1.875e-05, eta: 5:29:05, time: 0.191, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1918, decode.acc_seg: 92.1955, loss: 0.1918 +2023-03-04 06:10:22,538 - mmseg - INFO - Iter [75650/160000] lr: 1.875e-05, eta: 5:28:51, time: 0.193, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1999, decode.acc_seg: 91.8184, loss: 0.1999 +2023-03-04 06:10:32,305 - mmseg - INFO - Iter [75700/160000] lr: 1.875e-05, eta: 5:28:37, time: 0.195, data_time: 0.006, memory: 52540, decode.loss_ce: 0.1893, decode.acc_seg: 92.2911, loss: 0.1893 +2023-03-04 06:10:44,543 - mmseg - INFO - Iter [75750/160000] lr: 1.875e-05, eta: 5:28:26, time: 0.245, data_time: 0.055, memory: 52540, decode.loss_ce: 0.1885, decode.acc_seg: 92.1210, loss: 0.1885 +2023-03-04 06:10:54,258 - mmseg - INFO - Iter [75800/160000] lr: 1.875e-05, eta: 5:28:12, time: 0.194, data_time: 0.006, memory: 52540, decode.loss_ce: 0.1835, decode.acc_seg: 92.4610, loss: 0.1835 +2023-03-04 06:11:03,887 - mmseg - INFO - Iter [75850/160000] lr: 1.875e-05, eta: 5:27:58, time: 0.193, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1878, decode.acc_seg: 92.2076, loss: 0.1878 +2023-03-04 06:11:13,410 - mmseg - INFO - Iter [75900/160000] lr: 1.875e-05, eta: 5:27:44, time: 0.190, data_time: 0.006, memory: 52540, decode.loss_ce: 0.1934, decode.acc_seg: 92.2850, loss: 0.1934 +2023-03-04 06:11:22,974 - mmseg - INFO - Iter [75950/160000] lr: 1.875e-05, eta: 5:27:30, time: 0.191, data_time: 0.006, memory: 52540, decode.loss_ce: 0.1887, decode.acc_seg: 92.1678, loss: 0.1887 +2023-03-04 06:11:32,900 - mmseg - INFO - Exp name: ablation_segformer_mit_b2_segformer_head_unet_fc_small_multi_step_ade_single_stage.py +2023-03-04 06:11:32,900 - mmseg - INFO - Iter [76000/160000] lr: 1.875e-05, eta: 5:27:16, time: 0.198, data_time: 0.006, memory: 52540, decode.loss_ce: 0.1885, decode.acc_seg: 92.2295, loss: 0.1885 +2023-03-04 06:11:42,541 - mmseg - INFO - Iter [76050/160000] lr: 1.875e-05, eta: 5:27:02, time: 0.193, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1866, decode.acc_seg: 92.4421, loss: 0.1866 +2023-03-04 06:11:52,149 - mmseg - INFO - Iter [76100/160000] lr: 1.875e-05, eta: 5:26:48, time: 0.192, data_time: 0.006, memory: 52540, decode.loss_ce: 0.2010, decode.acc_seg: 91.8325, loss: 0.2010 +2023-03-04 06:12:01,621 - mmseg - INFO - Iter [76150/160000] lr: 1.875e-05, eta: 5:26:34, time: 0.189, data_time: 0.006, memory: 52540, decode.loss_ce: 0.1943, decode.acc_seg: 92.1686, loss: 0.1943 +2023-03-04 06:12:11,152 - mmseg - INFO - Iter [76200/160000] lr: 1.875e-05, eta: 5:26:20, time: 0.191, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1875, decode.acc_seg: 92.2525, loss: 0.1875 +2023-03-04 06:12:20,605 - mmseg - INFO - Iter [76250/160000] lr: 1.875e-05, eta: 5:26:06, time: 0.189, data_time: 0.006, memory: 52540, decode.loss_ce: 0.1894, decode.acc_seg: 92.2957, loss: 0.1894 +2023-03-04 06:12:30,420 - mmseg - INFO - Iter [76300/160000] lr: 1.875e-05, eta: 5:25:52, time: 0.196, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1899, decode.acc_seg: 92.2148, loss: 0.1899 +2023-03-04 06:12:39,927 - mmseg - INFO - Iter [76350/160000] lr: 1.875e-05, eta: 5:25:38, time: 0.190, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1911, decode.acc_seg: 92.2153, loss: 0.1911 +2023-03-04 06:12:52,109 - mmseg - INFO - Iter [76400/160000] lr: 1.875e-05, eta: 5:25:27, time: 0.243, data_time: 0.056, memory: 52540, decode.loss_ce: 0.1917, decode.acc_seg: 92.1499, loss: 0.1917 +2023-03-04 06:13:01,705 - mmseg - INFO - Iter [76450/160000] lr: 1.875e-05, eta: 5:25:13, time: 0.192, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1936, decode.acc_seg: 91.8788, loss: 0.1936 +2023-03-04 06:13:11,462 - mmseg - INFO - Iter [76500/160000] lr: 1.875e-05, eta: 5:24:59, time: 0.195, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1903, decode.acc_seg: 92.1589, loss: 0.1903 +2023-03-04 06:13:21,135 - mmseg - INFO - Iter [76550/160000] lr: 1.875e-05, eta: 5:24:45, time: 0.193, data_time: 0.006, memory: 52540, decode.loss_ce: 0.1914, decode.acc_seg: 92.1319, loss: 0.1914 +2023-03-04 06:13:30,945 - mmseg - INFO - Iter [76600/160000] lr: 1.875e-05, eta: 5:24:32, time: 0.196, data_time: 0.006, memory: 52540, decode.loss_ce: 0.1935, decode.acc_seg: 92.0525, loss: 0.1935 +2023-03-04 06:13:40,629 - mmseg - INFO - Iter [76650/160000] lr: 1.875e-05, eta: 5:24:18, time: 0.194, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1891, decode.acc_seg: 92.2874, loss: 0.1891 +2023-03-04 06:13:50,143 - mmseg - INFO - Iter [76700/160000] lr: 1.875e-05, eta: 5:24:04, time: 0.190, data_time: 0.006, memory: 52540, decode.loss_ce: 0.1852, decode.acc_seg: 92.3625, loss: 0.1852 +2023-03-04 06:13:59,753 - mmseg - INFO - Iter [76750/160000] lr: 1.875e-05, eta: 5:23:50, time: 0.192, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1892, decode.acc_seg: 92.2140, loss: 0.1892 +2023-03-04 06:14:09,400 - mmseg - INFO - Iter [76800/160000] lr: 1.875e-05, eta: 5:23:36, time: 0.193, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1900, decode.acc_seg: 92.1569, loss: 0.1900 +2023-03-04 06:14:18,969 - mmseg - INFO - Iter [76850/160000] lr: 1.875e-05, eta: 5:23:22, time: 0.191, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1910, decode.acc_seg: 92.1686, loss: 0.1910 +2023-03-04 06:14:28,850 - mmseg - INFO - Iter [76900/160000] lr: 1.875e-05, eta: 5:23:09, time: 0.198, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1935, decode.acc_seg: 92.1542, loss: 0.1935 +2023-03-04 06:14:38,894 - mmseg - INFO - Iter [76950/160000] lr: 1.875e-05, eta: 5:22:55, time: 0.201, data_time: 0.006, memory: 52540, decode.loss_ce: 0.1793, decode.acc_seg: 92.7217, loss: 0.1793 +2023-03-04 06:14:51,322 - mmseg - INFO - Exp name: ablation_segformer_mit_b2_segformer_head_unet_fc_small_multi_step_ade_single_stage.py +2023-03-04 06:14:51,322 - mmseg - INFO - Iter [77000/160000] lr: 1.875e-05, eta: 5:22:44, time: 0.249, data_time: 0.056, memory: 52540, decode.loss_ce: 0.1888, decode.acc_seg: 92.3238, loss: 0.1888 +2023-03-04 06:15:01,158 - mmseg - INFO - Iter [77050/160000] lr: 1.875e-05, eta: 5:22:31, time: 0.197, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1843, decode.acc_seg: 92.3624, loss: 0.1843 +2023-03-04 06:15:10,686 - mmseg - INFO - Iter [77100/160000] lr: 1.875e-05, eta: 5:22:17, time: 0.191, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1895, decode.acc_seg: 92.3074, loss: 0.1895 +2023-03-04 06:15:20,232 - mmseg - INFO - Iter [77150/160000] lr: 1.875e-05, eta: 5:22:03, time: 0.191, data_time: 0.006, memory: 52540, decode.loss_ce: 0.1886, decode.acc_seg: 92.0414, loss: 0.1886 +2023-03-04 06:15:29,875 - mmseg - INFO - Iter [77200/160000] lr: 1.875e-05, eta: 5:21:49, time: 0.193, data_time: 0.007, memory: 52540, decode.loss_ce: 0.2014, decode.acc_seg: 91.7947, loss: 0.2014 +2023-03-04 06:15:39,457 - mmseg - INFO - Iter [77250/160000] lr: 1.875e-05, eta: 5:21:35, time: 0.192, data_time: 0.006, memory: 52540, decode.loss_ce: 0.1907, decode.acc_seg: 92.1442, loss: 0.1907 +2023-03-04 06:15:49,032 - mmseg - INFO - Iter [77300/160000] lr: 1.875e-05, eta: 5:21:21, time: 0.191, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1841, decode.acc_seg: 92.2931, loss: 0.1841 +2023-03-04 06:15:59,293 - mmseg - INFO - Iter [77350/160000] lr: 1.875e-05, eta: 5:21:08, time: 0.205, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1909, decode.acc_seg: 92.1240, loss: 0.1909 +2023-03-04 06:16:09,254 - mmseg - INFO - Iter [77400/160000] lr: 1.875e-05, eta: 5:20:55, time: 0.199, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1806, decode.acc_seg: 92.5668, loss: 0.1806 +2023-03-04 06:16:18,893 - mmseg - INFO - Iter [77450/160000] lr: 1.875e-05, eta: 5:20:41, time: 0.193, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1887, decode.acc_seg: 92.3573, loss: 0.1887 +2023-03-04 06:16:28,723 - mmseg - INFO - Iter [77500/160000] lr: 1.875e-05, eta: 5:20:27, time: 0.196, data_time: 0.006, memory: 52540, decode.loss_ce: 0.1854, decode.acc_seg: 92.3507, loss: 0.1854 +2023-03-04 06:16:38,533 - mmseg - INFO - Iter [77550/160000] lr: 1.875e-05, eta: 5:20:14, time: 0.196, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1974, decode.acc_seg: 91.9736, loss: 0.1974 +2023-03-04 06:16:48,195 - mmseg - INFO - Iter [77600/160000] lr: 1.875e-05, eta: 5:20:00, time: 0.193, data_time: 0.006, memory: 52540, decode.loss_ce: 0.1787, decode.acc_seg: 92.5464, loss: 0.1787 +2023-03-04 06:17:00,511 - mmseg - INFO - Iter [77650/160000] lr: 1.875e-05, eta: 5:19:49, time: 0.246, data_time: 0.055, memory: 52540, decode.loss_ce: 0.1857, decode.acc_seg: 92.4134, loss: 0.1857 +2023-03-04 06:17:10,120 - mmseg - INFO - Iter [77700/160000] lr: 1.875e-05, eta: 5:19:35, time: 0.192, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1866, decode.acc_seg: 92.2241, loss: 0.1866 +2023-03-04 06:17:19,637 - mmseg - INFO - Iter [77750/160000] lr: 1.875e-05, eta: 5:19:21, time: 0.190, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1966, decode.acc_seg: 91.9921, loss: 0.1966 +2023-03-04 06:17:29,253 - mmseg - INFO - Iter [77800/160000] lr: 1.875e-05, eta: 5:19:07, time: 0.192, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1829, decode.acc_seg: 92.3721, loss: 0.1829 +2023-03-04 06:17:38,931 - mmseg - INFO - Iter [77850/160000] lr: 1.875e-05, eta: 5:18:54, time: 0.194, data_time: 0.006, memory: 52540, decode.loss_ce: 0.1885, decode.acc_seg: 92.2158, loss: 0.1885 +2023-03-04 06:17:48,674 - mmseg - INFO - Iter [77900/160000] lr: 1.875e-05, eta: 5:18:40, time: 0.195, data_time: 0.006, memory: 52540, decode.loss_ce: 0.1842, decode.acc_seg: 92.5524, loss: 0.1842 +2023-03-04 06:17:58,249 - mmseg - INFO - Iter [77950/160000] lr: 1.875e-05, eta: 5:18:26, time: 0.192, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1927, decode.acc_seg: 92.0816, loss: 0.1927 +2023-03-04 06:18:07,802 - mmseg - INFO - Exp name: ablation_segformer_mit_b2_segformer_head_unet_fc_small_multi_step_ade_single_stage.py +2023-03-04 06:18:07,803 - mmseg - INFO - Iter [78000/160000] lr: 1.875e-05, eta: 5:18:12, time: 0.191, data_time: 0.006, memory: 52540, decode.loss_ce: 0.1933, decode.acc_seg: 92.1537, loss: 0.1933 +2023-03-04 06:18:17,406 - mmseg - INFO - Iter [78050/160000] lr: 1.875e-05, eta: 5:17:59, time: 0.192, data_time: 0.006, memory: 52540, decode.loss_ce: 0.1834, decode.acc_seg: 92.3705, loss: 0.1834 +2023-03-04 06:18:27,027 - mmseg - INFO - Iter [78100/160000] lr: 1.875e-05, eta: 5:17:45, time: 0.192, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1930, decode.acc_seg: 92.0245, loss: 0.1930 +2023-03-04 06:18:36,587 - mmseg - INFO - Iter [78150/160000] lr: 1.875e-05, eta: 5:17:31, time: 0.191, data_time: 0.006, memory: 52540, decode.loss_ce: 0.1860, decode.acc_seg: 92.3693, loss: 0.1860 +2023-03-04 06:18:46,128 - mmseg - INFO - Iter [78200/160000] lr: 1.875e-05, eta: 5:17:17, time: 0.191, data_time: 0.007, memory: 52540, decode.loss_ce: 0.2014, decode.acc_seg: 91.8979, loss: 0.2014 +2023-03-04 06:18:58,188 - mmseg - INFO - Iter [78250/160000] lr: 1.875e-05, eta: 5:17:06, time: 0.241, data_time: 0.056, memory: 52540, decode.loss_ce: 0.1913, decode.acc_seg: 92.1978, loss: 0.1913 +2023-03-04 06:19:07,928 - mmseg 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INFO - Iter [78550/160000] lr: 1.875e-05, eta: 5:15:44, time: 0.194, data_time: 0.006, memory: 52540, decode.loss_ce: 0.1883, decode.acc_seg: 92.1345, loss: 0.1883 +2023-03-04 06:20:05,531 - mmseg - INFO - Iter [78600/160000] lr: 1.875e-05, eta: 5:15:30, time: 0.190, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1861, decode.acc_seg: 92.2854, loss: 0.1861 +2023-03-04 06:20:15,460 - mmseg - INFO - Iter [78650/160000] lr: 1.875e-05, eta: 5:15:16, time: 0.199, data_time: 0.006, memory: 52540, decode.loss_ce: 0.1905, decode.acc_seg: 92.0583, loss: 0.1905 +2023-03-04 06:20:25,117 - mmseg - INFO - Iter [78700/160000] lr: 1.875e-05, eta: 5:15:03, time: 0.193, data_time: 0.006, memory: 52540, decode.loss_ce: 0.1932, decode.acc_seg: 92.0845, loss: 0.1932 +2023-03-04 06:20:34,944 - mmseg - INFO - Iter [78750/160000] lr: 1.875e-05, eta: 5:14:49, time: 0.197, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1869, decode.acc_seg: 92.3828, loss: 0.1869 +2023-03-04 06:20:44,548 - mmseg - INFO - Iter [78800/160000] lr: 1.875e-05, eta: 5:14:36, time: 0.192, data_time: 0.006, memory: 52540, decode.loss_ce: 0.1893, decode.acc_seg: 92.3803, loss: 0.1893 +2023-03-04 06:20:54,399 - mmseg - INFO - Iter [78850/160000] lr: 1.875e-05, eta: 5:14:22, time: 0.197, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1813, decode.acc_seg: 92.4594, loss: 0.1813 +2023-03-04 06:21:06,677 - mmseg - INFO - Iter [78900/160000] lr: 1.875e-05, eta: 5:14:11, time: 0.246, data_time: 0.053, memory: 52540, decode.loss_ce: 0.1865, decode.acc_seg: 92.3882, loss: 0.1865 +2023-03-04 06:21:16,638 - mmseg - INFO - Iter [78950/160000] lr: 1.875e-05, eta: 5:13:58, time: 0.199, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1887, decode.acc_seg: 92.3331, loss: 0.1887 +2023-03-04 06:21:26,282 - mmseg - INFO - Exp name: ablation_segformer_mit_b2_segformer_head_unet_fc_small_multi_step_ade_single_stage.py +2023-03-04 06:21:26,283 - mmseg - INFO - Iter [79000/160000] lr: 1.875e-05, eta: 5:13:44, time: 0.193, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1960, decode.acc_seg: 91.9245, loss: 0.1960 +2023-03-04 06:21:35,931 - mmseg - INFO - Iter [79050/160000] lr: 1.875e-05, eta: 5:13:31, time: 0.193, data_time: 0.006, memory: 52540, decode.loss_ce: 0.1956, decode.acc_seg: 92.1204, loss: 0.1956 +2023-03-04 06:21:45,594 - mmseg - INFO - Iter [79100/160000] lr: 1.875e-05, eta: 5:13:17, time: 0.193, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1791, decode.acc_seg: 92.7147, loss: 0.1791 +2023-03-04 06:21:55,324 - mmseg - INFO - Iter [79150/160000] lr: 1.875e-05, eta: 5:13:03, time: 0.195, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1849, decode.acc_seg: 92.3726, loss: 0.1849 +2023-03-04 06:22:04,978 - mmseg - INFO - Iter [79200/160000] lr: 1.875e-05, eta: 5:12:50, time: 0.193, data_time: 0.006, memory: 52540, decode.loss_ce: 0.1870, decode.acc_seg: 92.1876, loss: 0.1870 +2023-03-04 06:22:14,457 - mmseg - INFO - Iter [79250/160000] lr: 1.875e-05, eta: 5:12:36, time: 0.190, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1885, decode.acc_seg: 92.3731, loss: 0.1885 +2023-03-04 06:22:24,166 - mmseg - INFO - Iter [79300/160000] lr: 1.875e-05, eta: 5:12:22, time: 0.194, data_time: 0.006, memory: 52540, decode.loss_ce: 0.1828, decode.acc_seg: 92.4562, loss: 0.1828 +2023-03-04 06:22:33,854 - mmseg - INFO - Iter [79350/160000] lr: 1.875e-05, eta: 5:12:09, time: 0.194, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1933, decode.acc_seg: 92.0701, loss: 0.1933 +2023-03-04 06:22:43,582 - mmseg - INFO - Iter [79400/160000] lr: 1.875e-05, eta: 5:11:55, time: 0.195, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1912, decode.acc_seg: 92.1401, loss: 0.1912 +2023-03-04 06:22:53,398 - mmseg - INFO - Iter [79450/160000] lr: 1.875e-05, eta: 5:11:42, time: 0.196, data_time: 0.006, memory: 52540, decode.loss_ce: 0.1814, decode.acc_seg: 92.4859, loss: 0.1814 +2023-03-04 06:23:03,721 - mmseg - INFO - Iter [79500/160000] lr: 1.875e-05, eta: 5:11:29, time: 0.206, data_time: 0.008, memory: 52540, decode.loss_ce: 0.1841, decode.acc_seg: 92.4644, loss: 0.1841 +2023-03-04 06:23:16,135 - mmseg - INFO - Iter [79550/160000] lr: 1.875e-05, eta: 5:11:18, time: 0.248, data_time: 0.056, memory: 52540, decode.loss_ce: 0.1836, decode.acc_seg: 92.2627, loss: 0.1836 +2023-03-04 06:23:25,743 - mmseg - INFO - Iter [79600/160000] lr: 1.875e-05, eta: 5:11:05, time: 0.192, data_time: 0.006, memory: 52540, decode.loss_ce: 0.1800, decode.acc_seg: 92.4876, loss: 0.1800 +2023-03-04 06:23:35,490 - mmseg - INFO - Iter [79650/160000] lr: 1.875e-05, eta: 5:10:51, time: 0.195, data_time: 0.006, memory: 52540, decode.loss_ce: 0.1937, decode.acc_seg: 92.2260, loss: 0.1937 +2023-03-04 06:23:45,176 - mmseg - INFO - Iter [79700/160000] lr: 1.875e-05, eta: 5:10:38, time: 0.194, data_time: 0.006, memory: 52540, decode.loss_ce: 0.1873, decode.acc_seg: 92.3810, loss: 0.1873 +2023-03-04 06:23:55,026 - mmseg - INFO - Iter [79750/160000] lr: 1.875e-05, eta: 5:10:24, time: 0.197, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1850, decode.acc_seg: 92.5305, loss: 0.1850 +2023-03-04 06:24:04,799 - mmseg - INFO - Iter [79800/160000] lr: 1.875e-05, eta: 5:10:11, time: 0.195, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1920, decode.acc_seg: 92.2123, loss: 0.1920 +2023-03-04 06:24:14,436 - mmseg - INFO - Iter [79850/160000] lr: 1.875e-05, eta: 5:09:57, time: 0.193, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1927, decode.acc_seg: 92.0158, loss: 0.1927 +2023-03-04 06:24:24,088 - mmseg - INFO - Iter [79900/160000] lr: 1.875e-05, eta: 5:09:44, time: 0.193, data_time: 0.006, memory: 52540, decode.loss_ce: 0.1861, decode.acc_seg: 92.2430, loss: 0.1861 +2023-03-04 06:24:34,103 - mmseg - INFO - Iter [79950/160000] lr: 1.875e-05, eta: 5:09:30, time: 0.200, data_time: 0.006, memory: 52540, decode.loss_ce: 0.1862, decode.acc_seg: 92.3302, loss: 0.1862 +2023-03-04 06:24:43,770 - mmseg - INFO - Swap parameters (after train) after iter [80000] +2023-03-04 06:24:43,783 - mmseg - INFO - Saving checkpoint at 80000 iterations +2023-03-04 06:24:45,175 - mmseg - INFO - Exp name: ablation_segformer_mit_b2_segformer_head_unet_fc_small_multi_step_ade_single_stage.py +2023-03-04 06:24:45,175 - mmseg - INFO - Iter [80000/160000] lr: 1.875e-05, eta: 5:09:18, time: 0.221, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1942, decode.acc_seg: 92.0856, loss: 0.1942 +2023-03-04 06:35:29,818 - mmseg - INFO - per class results: +2023-03-04 06:35:29,827 - mmseg - INFO - ++---------------------+-------------------------------------------------------------------+ +| Class | IoU 0,10,20,30,40,50,60,70,80,90,99 | ++---------------------+-------------------------------------------------------------------+ +| background | nan,nan,nan,nan,nan,nan,nan,nan,nan,nan,nan | +| wall | 77.42,77.44,77.48,77.49,77.49,77.5,77.52,77.53,77.54,77.53,77.52 | +| building | 81.65,81.66,81.69,81.69,81.71,81.72,81.73,81.74,81.74,81.75,81.76 | +| sky | 94.42,94.42,94.44,94.44,94.44,94.44,94.46,94.46,94.46,94.46,94.46 | +| floor | 81.69,81.72,81.73,81.74,81.75,81.77,81.74,81.74,81.72,81.73,81.74 | +| tree | 74.38,74.39,74.43,74.44,74.45,74.47,74.47,74.48,74.48,74.49,74.48 | +| ceiling | 85.35,85.37,85.39,85.42,85.41,85.41,85.45,85.46,85.47,85.46,85.45 | +| road | 82.1,82.11,82.15,82.14,82.16,82.18,82.19,82.22,82.2,82.25,82.24 | +| bed | 87.59,87.6,87.57,87.66,87.65,87.69,87.71,87.73,87.71,87.69,87.68 | +| windowpane | 60.76,60.8,60.79,60.84,60.83,60.82,60.86,60.84,60.83,60.81,60.77 | +| grass | 67.1,67.13,67.16,67.23,67.26,67.29,67.32,67.32,67.33,67.35,67.42 | +| cabinet | 61.41,61.67,61.72,61.92,62.08,62.15,62.21,62.35,62.45,62.47,62.51 | +| sidewalk | 64.22,64.25,64.3,64.33,64.33,64.36,64.38,64.41,64.41,64.49,64.48 | +| person | 79.59,79.6,79.62,79.64,79.67,79.68,79.72,79.71,79.71,79.72,79.71 | +| earth | 35.73,35.76,35.75,35.73,35.78,35.8,35.81,35.81,35.77,35.78,35.75 | +| door | 45.65,45.71,45.73,45.76,45.78,45.77,45.81,45.85,45.86,45.9,45.89 | +| table | 61.26,61.34,61.37,61.5,61.62,61.63,61.71,61.7,61.67,61.69,61.69 | +| mountain | 56.49,56.54,56.69,56.67,56.73,56.82,56.9,56.95,57.02,57.06,57.07 | +| plant | 49.42,49.41,49.39,49.38,49.41,49.41,49.39,49.39,49.38,49.42,49.4 | +| curtain | 74.62,74.67,74.69,74.73,74.71,74.78,74.76,74.75,74.73,74.71,74.77 | +| chair | 56.39,56.43,56.45,56.46,56.45,56.5,56.52,56.54,56.53,56.54,56.57 | +| car | 81.64,81.67,81.67,81.72,81.78,81.83,81.84,81.85,81.89,81.89,81.87 | +| water | 57.32,57.3,57.29,57.28,57.32,57.33,57.34,57.36,57.35,57.36,57.39 | +| painting | 71.13,71.11,71.14,71.17,71.15,71.14,71.14,71.14,71.15,71.1,71.04 | +| sofa | 64.77,64.9,64.95,65.08,65.04,65.1,65.04,65.01,64.9,64.88,64.76 | +| shelf | 44.18,44.22,44.18,44.25,44.23,44.28,44.22,44.25,44.24,44.27,44.37 | +| house | 42.45,42.69,42.87,42.89,42.98,43.2,43.19,43.24,43.27,43.28,43.3 | +| sea | 60.37,60.37,60.37,60.35,60.37,60.38,60.33,60.37,60.32,60.32,60.33 | +| mirror | 66.79,67.1,67.15,67.15,67.14,67.21,67.26,67.27,67.26,67.25,67.27 | +| rug | 65.05,65.09,65.17,65.12,65.17,65.28,65.1,65.1,65.09,65.07,65.25 | +| field | 30.7,30.69,30.69,30.66,30.66,30.65,30.62,30.58,30.58,30.58,30.56 | +| armchair | 37.56,37.65,37.72,37.79,37.82,37.94,37.92,37.98,37.97,37.94,37.87 | +| seat | 66.46,66.53,66.58,66.72,66.8,66.78,66.93,66.95,66.98,66.98,67.1 | +| fence | 41.01,41.04,41.0,41.06,41.03,41.09,41.03,41.05,41.03,40.99,40.94 | +| desk | 47.17,47.32,47.39,47.58,47.69,47.85,47.83,47.86,47.96,47.98,47.94 | +| rock | 36.92,36.96,37.05,37.05,37.07,37.14,37.22,37.26,37.29,37.3,37.44 | +| wardrobe | 57.45,57.57,57.53,57.63,57.6,57.61,57.56,57.61,57.49,57.44,57.51 | +| lamp | 61.94,62.02,62.01,62.04,62.08,62.09,62.12,62.07,62.04,62.07,62.09 | +| bathtub | 76.84,77.02,76.9,76.76,76.65,76.57,76.32,76.23,76.05,76.02,75.86 | +| railing | 33.75,33.71,33.72,33.69,33.61,33.63,33.62,33.5,33.5,33.42,33.39 | +| cushion | 56.15,56.01,56.01,56.07,56.04,56.12,56.0,55.92,55.76,55.75,55.77 | +| base | 22.11,22.19,22.32,22.43,22.51,22.52,22.52,22.57,22.65,22.69,22.72 | +| box | 23.19,23.3,23.4,23.38,23.41,23.43,23.44,23.47,23.47,23.5,23.53 | +| column | 45.76,45.73,45.77,45.84,45.95,45.96,46.13,46.35,46.43,46.51,46.25 | +| signboard | 37.83,37.92,37.93,38.07,38.01,38.01,38.0,37.97,37.94,37.95,38.02 | +| chest of drawers | 36.75,36.73,36.67,36.9,36.77,36.95,36.96,37.18,37.81,38.02,38.01 | +| counter | 31.98,32.11,32.16,32.28,32.23,32.3,32.42,32.4,32.47,32.41,32.56 | +| sand | 42.66,42.72,42.82,42.76,42.78,42.85,42.81,42.8,42.83,42.82,42.86 | +| sink | 67.87,67.89,67.87,67.86,67.82,67.79,67.73,67.7,67.72,67.69,67.53 | +| skyscraper | 48.93,48.9,48.96,48.84,48.82,48.72,48.73,48.59,48.65,48.68,48.63 | +| fireplace | 76.78,76.85,76.84,76.86,76.92,76.77,76.83,76.83,76.89,76.78,76.88 | +| refrigerator | 75.99,76.26,76.27,76.56,76.62,76.55,76.6,76.73,76.85,76.94,76.8 | +| grandstand | 52.06,52.46,52.53,52.94,53.18,53.1,53.12,53.35,53.42,53.71,53.83 | +| path | 22.18,22.28,22.37,22.39,22.49,22.46,22.53,22.5,22.57,22.57,22.57 | +| stairs | 32.6,32.63,32.59,32.61,32.54,32.55,32.51,32.46,32.47,32.41,32.39 | +| runway | 67.6,67.63,67.61,67.67,67.72,67.7,67.66,67.7,67.65,67.63,67.64 | +| case | 48.66,48.9,48.87,48.96,48.97,48.9,48.95,48.95,48.95,48.97,49.05 | +| pool table | 91.8,91.85,91.89,91.88,91.93,92.01,92.04,92.08,92.08,92.09,92.12 | +| pillow | 59.9,59.98,59.8,59.8,59.57,59.59,59.36,59.32,59.09,58.91,58.75 | +| screen door | 70.15,70.24,70.17,70.21,70.19,70.12,69.74,69.81,69.52,69.45,69.39 | +| stairway | 24.22,24.28,24.25,24.35,24.35,24.27,24.28,24.34,24.39,24.34,24.4 | +| river | 12.1,12.11,12.11,12.13,12.11,12.11,12.12,12.1,12.09,12.09,12.1 | +| bridge | 31.29,31.27,31.48,31.52,31.49,31.55,31.73,31.68,31.6,31.65,31.74 | +| bookcase | 47.09,47.14,47.11,47.13,47.21,47.29,47.25,47.29,47.3,47.34,47.17 | +| blind | 40.68,40.8,40.63,40.58,40.6,40.55,40.56,40.46,40.3,40.22,40.09 | +| coffee table | 53.46,53.57,53.38,53.42,53.38,53.35,53.52,53.36,53.32,53.29,53.35 | +| toilet | 83.67,83.71,83.8,83.85,83.87,83.7,83.73,83.69,83.78,83.71,83.69 | +| flower | 39.22,39.21,39.29,39.19,39.2,39.23,39.16,39.17,39.18,39.09,39.13 | +| book | 45.11,45.05,45.08,45.08,45.06,45.17,45.12,45.05,45.1,45.15,45.22 | +| hill | 15.27,15.18,15.16,15.01,15.04,15.05,14.92,14.94,14.89,14.94,14.94 | +| bench | 42.9,42.96,42.75,42.72,42.63,42.58,42.56,42.48,42.37,42.28,42.06 | +| countertop | 56.06,56.2,56.31,56.4,56.48,56.6,56.52,56.71,56.59,56.57,56.51 | +| stove | 71.68,71.93,71.78,71.96,72.04,72.16,72.25,72.26,72.26,72.28,72.0 | +| palm | 47.86,47.86,47.8,47.86,47.84,47.82,47.77,47.71,47.67,47.67,47.79 | +| kitchen island | 44.63,44.83,44.97,45.3,45.79,45.79,46.2,46.07,46.12,46.23,46.71 | +| computer | 60.5,60.48,60.43,60.55,60.48,60.5,60.49,60.45,60.41,60.39,60.41 | +| swivel chair | 43.73,43.72,43.86,43.9,44.0,44.07,44.18,44.39,44.38,44.43,44.39 | +| boat | 72.93,73.09,73.19,73.45,73.44,73.68,73.52,73.73,73.93,73.92,73.97 | +| bar | 23.53,23.62,23.6,23.57,23.6,23.6,23.56,23.53,23.5,23.5,23.58 | +| arcade machine | 69.43,69.45,70.1,69.82,69.43,69.54,69.87,69.96,69.83,70.13,70.42 | +| hovel | 31.8,31.63,31.65,31.37,30.94,30.73,30.48,30.21,30.07,29.96,30.01 | +| bus | 79.96,79.95,79.93,79.95,79.87,79.94,79.93,79.99,79.95,79.94,79.87 | +| towel | 62.02,61.89,61.92,61.95,61.78,61.67,61.67,61.55,61.62,61.5,61.37 | +| light | 55.77,55.86,55.87,56.06,56.06,56.12,56.16,56.26,56.24,56.28,56.44 | +| truck | 18.88,18.95,18.83,18.89,18.76,18.75,18.73,18.65,18.46,18.46,18.42 | +| tower | 9.18,9.16,9.25,9.25,9.29,9.19,9.25,9.26,9.27,9.3,9.25 | +| chandelier | 64.33,64.42,64.46,64.44,64.35,64.43,64.37,64.4,64.37,64.33,64.36 | +| awning | 24.21,24.46,24.49,24.66,24.67,24.8,24.92,24.97,24.99,25.04,25.15 | +| streetlight | 27.14,27.26,27.44,27.42,27.4,27.45,27.43,27.5,27.45,27.42,27.56 | +| booth | 45.71,45.81,45.87,45.72,46.3,46.14,46.22,46.04,46.1,46.29,46.27 | +| television receiver | 64.31,64.35,64.35,64.37,64.46,64.34,64.35,64.43,64.42,64.44,64.48 | +| airplane | 60.89,60.88,60.78,60.98,60.9,60.87,60.89,60.82,60.81,60.73,60.73 | +| dirt track | 20.04,20.25,20.41,20.73,20.94,21.16,21.4,21.6,21.99,22.21,22.44 | +| apparel | 35.83,35.84,35.94,36.35,36.62,36.55,36.94,36.96,36.95,37.23,37.35 | +| pole | 18.51,18.48,18.39,18.31,18.33,18.29,18.18,18.01,17.99,18.03,17.87 | +| land | 3.64,3.63,3.63,3.62,3.6,3.64,3.6,3.6,3.59,3.61,3.74 | +| bannister | 11.52,11.57,11.62,11.77,11.7,11.81,12.02,11.99,11.99,11.94,12.07 | +| escalator | 23.84,23.91,23.97,23.92,24.01,24.05,24.05,24.13,24.18,24.22,24.25 | +| ottoman | 41.33,41.44,41.19,41.78,41.84,41.83,41.96,41.71,41.07,40.88,40.84 | +| bottle | 34.94,34.84,34.9,34.81,35.01,35.01,35.11,35.2,35.21,35.26,35.29 | +| buffet | 42.28,43.27,43.63,43.99,44.23,44.78,44.96,45.07,45.35,45.45,45.62 | +| poster | 23.56,23.58,23.6,23.69,23.62,23.6,23.42,23.56,23.46,23.53,23.82 | +| stage | 14.29,14.46,14.22,14.55,14.37,14.5,14.71,14.62,14.59,14.61,14.75 | +| van | 38.1,38.15,38.14,38.18,38.19,38.16,38.22,38.1,38.18,38.08,38.14 | +| ship | 81.64,81.89,81.81,81.95,82.04,82.17,82.15,82.31,82.42,82.54,82.6 | +| fountain | 18.29,18.56,18.54,18.53,18.52,18.56,18.41,18.56,18.4,18.59,18.59 | +| conveyer belt | 85.26,85.21,85.39,85.52,85.53,85.56,85.62,85.72,85.74,85.84,85.67 | +| canopy | 22.85,23.24,23.6,23.95,24.09,24.31,24.62,24.66,24.94,25.1,25.17 | +| washer | 75.14,75.32,75.34,75.69,75.73,76.1,76.1,76.24,76.27,76.37,76.49 | +| plaything | 20.69,20.59,20.7,20.6,20.7,20.46,20.49,20.5,20.49,20.46,20.42 | +| swimming pool | 73.77,73.75,74.09,73.95,74.16,74.32,73.86,74.06,73.77,73.68,73.85 | +| stool | 43.2,43.3,43.32,43.3,43.3,43.06,43.12,43.04,43.05,43.09,42.96 | +| barrel | 40.12,40.08,39.18,39.27,38.56,38.35,37.88,36.72,37.1,36.71,36.28 | +| basket | 24.09,24.06,24.12,24.07,24.09,24.08,24.18,24.19,24.17,24.19,23.96 | +| waterfall | 49.2,49.24,49.13,49.15,49.31,49.28,49.17,49.32,49.4,49.43,49.39 | +| tent | 93.22,93.26,93.34,93.28,93.33,93.39,93.36,93.38,93.46,93.41,93.45 | +| bag | 15.5,15.57,15.7,15.58,15.64,15.63,15.55,15.48,15.59,15.59,15.43 | +| minibike | 60.96,61.05,61.21,61.3,61.4,61.62,61.71,61.77,61.97,62.07,62.19 | +| cradle | 84.7,84.96,85.18,85.21,85.27,85.48,85.52,85.63,85.78,85.82,85.96 | +| oven | 48.31,48.61,48.47,49.04,49.05,49.29,49.62,49.61,49.77,49.97,50.09 | +| ball | 45.25,45.34,45.27,45.27,45.13,44.99,45.02,45.04,44.86,44.73,44.77 | +| food | 54.51,54.59,54.56,54.75,54.64,54.62,54.58,54.52,54.47,54.36,54.39 | +| step | 7.29,7.35,7.41,7.35,7.5,7.45,7.58,7.55,7.54,7.56,7.55 | +| tank | 51.57,51.44,51.34,51.19,51.14,50.95,50.88,50.98,50.88,50.81,50.7 | +| trade name | 27.93,28.05,28.26,28.09,28.13,28.28,28.14,28.16,28.16,28.15,28.22 | +| microwave | 74.67,75.19,75.27,75.8,75.94,76.15,76.46,76.68,76.9,77.05,77.12 | +| pot | 30.02,30.03,30.26,30.32,30.52,30.54,30.6,30.67,30.71,30.79,30.82 | +| animal | 53.78,53.78,53.83,53.72,53.74,53.68,53.57,53.52,53.43,53.43,53.3 | +| bicycle | 53.28,53.49,53.47,53.62,53.56,53.89,53.93,53.99,53.95,54.11,54.2 | +| lake | 57.18,57.17,57.2,57.18,57.13,57.18,57.12,57.18,57.14,57.1,57.13 | +| dishwasher | 65.18,65.36,65.0,65.44,65.51,65.47,65.45,65.51,65.66,65.81,65.4 | +| screen | 68.8,68.47,68.05,67.69,67.52,67.14,67.35,67.22,67.58,67.51,67.85 | +| blanket | 17.77,17.95,18.0,18.1,18.16,18.17,18.08,18.14,18.22,18.18,18.37 | +| sculpture | 57.93,57.99,57.74,57.65,57.61,57.7,57.34,57.23,57.26,57.12,56.59 | +| hood | 57.84,57.19,57.8,57.12,57.22,57.68,57.33,57.26,57.13,57.04,56.88 | +| sconce | 42.54,42.68,42.79,42.63,42.58,42.76,42.88,42.92,42.78,42.92,43.14 | +| vase | 37.27,37.39,37.43,37.45,37.65,37.6,37.75,37.77,37.67,37.73,37.75 | +| traffic light | 32.86,33.0,33.09,33.2,33.33,33.48,33.39,33.56,33.58,33.62,33.67 | +| tray | 7.66,7.59,7.56,7.63,7.55,7.58,7.49,7.37,7.23,7.22,7.21 | +| ashcan | 39.49,39.46,39.36,39.46,39.37,39.24,39.23,39.34,39.43,39.51,39.39 | +| fan | 57.58,57.36,57.43,57.49,57.37,57.46,57.35,57.37,57.23,57.23,57.12 | +| pier | 43.68,44.21,44.21,44.66,44.68,45.38,45.54,45.9,46.7,47.4,47.78 | +| crt screen | 10.3,10.33,10.4,10.24,10.32,10.25,10.13,10.11,10.17,10.09,10.05 | +| plate | 52.23,52.42,52.65,52.57,52.57,52.8,52.83,52.98,53.04,53.08,53.2 | +| monitor | 18.45,18.4,18.42,18.18,18.08,17.82,17.58,17.37,17.0,16.79,16.63 | +| bulletin board | 36.24,36.35,36.27,36.49,36.59,36.81,37.0,37.1,37.26,37.34,37.22 | +| shower | 1.81,1.87,1.88,1.84,1.8,1.69,1.46,1.47,1.32,1.22,1.68 | +| radiator | 60.24,60.28,61.29,61.53,62.53,63.43,63.97,64.89,64.8,64.97,65.09 | +| glass | 13.92,13.82,13.97,14.1,13.95,13.97,14.03,13.95,13.87,13.93,13.96 | +| clock | 35.57,35.6,35.99,35.72,36.05,36.0,35.94,36.11,36.05,36.09,36.15 | +| flag | 36.28,36.08,36.0,36.02,35.71,35.91,35.8,35.7,35.62,35.59,35.66 | ++---------------------+-------------------------------------------------------------------+ +2023-03-04 06:35:29,827 - mmseg - INFO - Summary: +2023-03-04 06:35:29,827 - mmseg - INFO - ++-----------------------------------------------------------------+ +| mIoU 0,10,20,30,40,50,60,70,80,90,99 | ++-----------------------------------------------------------------+ +| 48.63,48.7,48.73,48.78,48.8,48.84,48.85,48.86,48.87,48.88,48.89 | ++-----------------------------------------------------------------+ +2023-03-04 06:35:29,858 - mmseg - INFO - The previous best checkpoint /mnt/petrelfs/laizeqiang/mmseg-baseline/work_dirs2/ablation_segformer_mit_b2_segformer_head_unet_fc_small_multi_step_ade_single_stage/best_mIoU_iter_64000.pth was removed +2023-03-04 06:35:30,784 - mmseg - INFO - Now best checkpoint is saved as best_mIoU_iter_80000.pth. +2023-03-04 06:35:30,785 - mmseg - INFO - Best mIoU is 0.4889 at 80000 iter. +2023-03-04 06:35:30,785 - mmseg - INFO - Exp name: ablation_segformer_mit_b2_segformer_head_unet_fc_small_multi_step_ade_single_stage.py +2023-03-04 06:35:30,785 - mmseg - INFO - Iter(val) [250] mIoU: [0.4863, 0.487, 0.4873, 0.4878, 0.488, 0.4884, 0.4885, 0.4886, 0.4887, 0.4888, 0.4889], copy_paste: 48.63,48.7,48.73,48.78,48.8,48.84,48.85,48.86,48.87,48.88,48.89 +2023-03-04 06:35:30,791 - mmseg - INFO - Swap parameters (before train) before iter [80001] +2023-03-04 06:35:40,870 - mmseg - INFO - Iter [80050/160000] lr: 9.375e-06, eta: 5:19:50, time: 13.114, data_time: 12.920, memory: 52540, decode.loss_ce: 0.1914, decode.acc_seg: 92.1160, loss: 0.1914 +2023-03-04 06:35:50,702 - mmseg - INFO - Iter [80100/160000] lr: 9.375e-06, eta: 5:19:36, time: 0.197, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1868, decode.acc_seg: 92.4146, loss: 0.1868 +2023-03-04 06:36:02,850 - mmseg - INFO - Iter [80150/160000] lr: 9.375e-06, eta: 5:19:24, time: 0.243, data_time: 0.052, memory: 52540, decode.loss_ce: 0.1910, decode.acc_seg: 92.2703, loss: 0.1910 +2023-03-04 06:36:12,429 - mmseg - INFO - Iter [80200/160000] lr: 9.375e-06, eta: 5:19:10, time: 0.192, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1851, decode.acc_seg: 92.3351, loss: 0.1851 +2023-03-04 06:36:22,307 - mmseg - INFO - Iter [80250/160000] lr: 9.375e-06, eta: 5:18:55, time: 0.198, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1832, decode.acc_seg: 92.4704, loss: 0.1832 +2023-03-04 06:36:31,941 - mmseg - INFO - Iter [80300/160000] lr: 9.375e-06, eta: 5:18:41, time: 0.193, data_time: 0.006, memory: 52540, decode.loss_ce: 0.1972, decode.acc_seg: 92.0784, loss: 0.1972 +2023-03-04 06:36:41,556 - mmseg - INFO - Iter [80350/160000] lr: 9.375e-06, eta: 5:18:27, time: 0.192, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1880, decode.acc_seg: 92.2931, loss: 0.1880 +2023-03-04 06:36:51,117 - mmseg - INFO - Iter [80400/160000] lr: 9.375e-06, eta: 5:18:12, time: 0.191, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1853, decode.acc_seg: 92.2454, loss: 0.1853 +2023-03-04 06:37:00,625 - mmseg - INFO - Iter [80450/160000] lr: 9.375e-06, eta: 5:17:58, time: 0.190, data_time: 0.006, memory: 52540, decode.loss_ce: 0.1860, decode.acc_seg: 92.3917, loss: 0.1860 +2023-03-04 06:37:10,318 - mmseg - INFO - Iter [80500/160000] lr: 9.375e-06, eta: 5:17:44, time: 0.194, data_time: 0.006, memory: 52540, decode.loss_ce: 0.1884, decode.acc_seg: 92.2668, loss: 0.1884 +2023-03-04 06:37:19,814 - mmseg - INFO - Iter [80550/160000] lr: 9.375e-06, eta: 5:17:29, time: 0.190, data_time: 0.006, memory: 52540, decode.loss_ce: 0.1855, decode.acc_seg: 92.4324, loss: 0.1855 +2023-03-04 06:37:29,784 - mmseg - INFO - Iter [80600/160000] lr: 9.375e-06, eta: 5:17:15, time: 0.199, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1824, decode.acc_seg: 92.3455, loss: 0.1824 +2023-03-04 06:37:39,481 - mmseg - INFO - Iter [80650/160000] lr: 9.375e-06, eta: 5:17:01, time: 0.194, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1869, decode.acc_seg: 92.3036, loss: 0.1869 +2023-03-04 06:37:49,067 - mmseg - INFO - Iter [80700/160000] lr: 9.375e-06, eta: 5:16:47, time: 0.192, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1971, decode.acc_seg: 92.0110, loss: 0.1971 +2023-03-04 06:37:58,667 - mmseg - INFO - Iter [80750/160000] lr: 9.375e-06, eta: 5:16:32, time: 0.192, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1914, decode.acc_seg: 92.0951, loss: 0.1914 +2023-03-04 06:38:10,728 - mmseg - INFO - Iter [80800/160000] lr: 9.375e-06, eta: 5:16:20, time: 0.241, data_time: 0.054, memory: 52540, decode.loss_ce: 0.1864, decode.acc_seg: 92.2414, loss: 0.1864 +2023-03-04 06:38:20,419 - mmseg - INFO - Iter [80850/160000] lr: 9.375e-06, eta: 5:16:06, time: 0.194, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1835, decode.acc_seg: 92.4623, loss: 0.1835 +2023-03-04 06:38:29,879 - mmseg - INFO - Iter [80900/160000] lr: 9.375e-06, eta: 5:15:52, time: 0.189, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1928, decode.acc_seg: 92.1080, loss: 0.1928 +2023-03-04 06:38:39,555 - mmseg - INFO - Iter [80950/160000] lr: 9.375e-06, eta: 5:15:38, time: 0.194, data_time: 0.006, memory: 52540, decode.loss_ce: 0.1832, decode.acc_seg: 92.4802, loss: 0.1832 +2023-03-04 06:38:49,444 - mmseg - INFO - Exp name: ablation_segformer_mit_b2_segformer_head_unet_fc_small_multi_step_ade_single_stage.py +2023-03-04 06:38:49,444 - mmseg - INFO - Iter [81000/160000] lr: 9.375e-06, eta: 5:15:23, time: 0.198, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1911, decode.acc_seg: 92.1374, loss: 0.1911 +2023-03-04 06:38:59,125 - mmseg - INFO - Iter [81050/160000] lr: 9.375e-06, eta: 5:15:09, time: 0.194, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1840, decode.acc_seg: 92.3455, loss: 0.1840 +2023-03-04 06:39:09,026 - mmseg - INFO - Iter [81100/160000] lr: 9.375e-06, eta: 5:14:55, time: 0.198, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1864, decode.acc_seg: 92.2415, loss: 0.1864 +2023-03-04 06:39:18,549 - mmseg - INFO - Iter [81150/160000] lr: 9.375e-06, eta: 5:14:41, time: 0.190, data_time: 0.006, memory: 52540, decode.loss_ce: 0.1861, decode.acc_seg: 92.3054, loss: 0.1861 +2023-03-04 06:39:28,145 - mmseg - INFO - Iter [81200/160000] lr: 9.375e-06, eta: 5:14:27, time: 0.192, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1896, decode.acc_seg: 92.2021, loss: 0.1896 +2023-03-04 06:39:37,638 - mmseg - INFO - Iter [81250/160000] lr: 9.375e-06, eta: 5:14:12, time: 0.190, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1959, decode.acc_seg: 92.0978, loss: 0.1959 +2023-03-04 06:39:47,420 - mmseg - INFO - Iter [81300/160000] lr: 9.375e-06, eta: 5:13:58, time: 0.196, data_time: 0.006, memory: 52540, decode.loss_ce: 0.1854, decode.acc_seg: 92.3911, loss: 0.1854 +2023-03-04 06:39:56,960 - mmseg - INFO - Iter [81350/160000] lr: 9.375e-06, eta: 5:13:44, time: 0.191, data_time: 0.006, memory: 52540, decode.loss_ce: 0.1817, decode.acc_seg: 92.5303, loss: 0.1817 +2023-03-04 06:40:09,256 - mmseg - INFO - Iter [81400/160000] lr: 9.375e-06, eta: 5:13:32, time: 0.246, data_time: 0.054, memory: 52540, decode.loss_ce: 0.1939, decode.acc_seg: 92.0820, loss: 0.1939 +2023-03-04 06:40:18,860 - mmseg - INFO - Iter [81450/160000] lr: 9.375e-06, eta: 5:13:18, time: 0.192, data_time: 0.006, memory: 52540, decode.loss_ce: 0.1927, decode.acc_seg: 92.2300, loss: 0.1927 +2023-03-04 06:40:28,382 - mmseg - INFO - Iter [81500/160000] lr: 9.375e-06, eta: 5:13:04, time: 0.190, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1909, decode.acc_seg: 92.1079, loss: 0.1909 +2023-03-04 06:40:37,939 - mmseg - INFO - Iter [81550/160000] lr: 9.375e-06, eta: 5:12:49, time: 0.191, data_time: 0.006, memory: 52540, decode.loss_ce: 0.1975, decode.acc_seg: 92.0713, loss: 0.1975 +2023-03-04 06:40:47,408 - mmseg - INFO - Iter [81600/160000] lr: 9.375e-06, eta: 5:12:35, time: 0.189, data_time: 0.006, memory: 52540, decode.loss_ce: 0.1817, decode.acc_seg: 92.5638, loss: 0.1817 +2023-03-04 06:40:57,119 - mmseg - INFO - Iter [81650/160000] lr: 9.375e-06, eta: 5:12:21, time: 0.194, data_time: 0.006, memory: 52540, decode.loss_ce: 0.1875, decode.acc_seg: 92.2735, loss: 0.1875 +2023-03-04 06:41:06,748 - mmseg - INFO - Iter [81700/160000] lr: 9.375e-06, eta: 5:12:07, time: 0.193, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1935, decode.acc_seg: 92.0929, loss: 0.1935 +2023-03-04 06:41:16,540 - mmseg - INFO - Iter [81750/160000] lr: 9.375e-06, eta: 5:11:53, time: 0.196, data_time: 0.006, memory: 52540, decode.loss_ce: 0.1826, decode.acc_seg: 92.4976, loss: 0.1826 +2023-03-04 06:41:26,337 - mmseg - INFO - Iter [81800/160000] lr: 9.375e-06, eta: 5:11:39, time: 0.196, data_time: 0.006, memory: 52540, decode.loss_ce: 0.1938, decode.acc_seg: 92.0103, loss: 0.1938 +2023-03-04 06:41:36,220 - mmseg - INFO - Iter [81850/160000] lr: 9.375e-06, eta: 5:11:25, time: 0.198, data_time: 0.006, memory: 52540, decode.loss_ce: 0.1843, decode.acc_seg: 92.4113, loss: 0.1843 +2023-03-04 06:41:45,909 - mmseg - INFO - Iter [81900/160000] lr: 9.375e-06, eta: 5:11:11, time: 0.194, data_time: 0.006, memory: 52540, decode.loss_ce: 0.1809, decode.acc_seg: 92.4860, loss: 0.1809 +2023-03-04 06:41:55,388 - mmseg - INFO - Iter [81950/160000] lr: 9.375e-06, eta: 5:10:56, time: 0.190, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1826, decode.acc_seg: 92.4252, loss: 0.1826 +2023-03-04 06:42:05,369 - mmseg - INFO - Exp name: ablation_segformer_mit_b2_segformer_head_unet_fc_small_multi_step_ade_single_stage.py +2023-03-04 06:42:05,369 - mmseg - INFO - Iter [82000/160000] lr: 9.375e-06, eta: 5:10:42, time: 0.200, data_time: 0.006, memory: 52540, decode.loss_ce: 0.1819, decode.acc_seg: 92.4232, loss: 0.1819 +2023-03-04 06:42:17,437 - mmseg - INFO - Iter [82050/160000] lr: 9.375e-06, eta: 5:10:31, time: 0.241, data_time: 0.053, memory: 52540, decode.loss_ce: 0.1802, decode.acc_seg: 92.6104, loss: 0.1802 +2023-03-04 06:42:27,614 - mmseg - INFO - Iter [82100/160000] lr: 9.375e-06, eta: 5:10:17, time: 0.204, data_time: 0.006, memory: 52540, decode.loss_ce: 0.1838, decode.acc_seg: 92.5097, loss: 0.1838 +2023-03-04 06:42:37,165 - mmseg - INFO - Iter [82150/160000] lr: 9.375e-06, eta: 5:10:03, time: 0.191, data_time: 0.006, memory: 52540, decode.loss_ce: 0.1927, decode.acc_seg: 92.1198, loss: 0.1927 +2023-03-04 06:42:46,739 - mmseg - INFO - Iter [82200/160000] lr: 9.375e-06, eta: 5:09:49, time: 0.191, data_time: 0.006, memory: 52540, decode.loss_ce: 0.1956, decode.acc_seg: 91.9950, loss: 0.1956 +2023-03-04 06:42:56,325 - mmseg - INFO - Iter [82250/160000] lr: 9.375e-06, eta: 5:09:34, time: 0.192, data_time: 0.006, memory: 52540, decode.loss_ce: 0.1832, decode.acc_seg: 92.4339, loss: 0.1832 +2023-03-04 06:43:06,173 - mmseg - INFO - Iter [82300/160000] lr: 9.375e-06, eta: 5:09:20, time: 0.197, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1948, decode.acc_seg: 92.0551, loss: 0.1948 +2023-03-04 06:43:15,753 - mmseg - INFO - Iter [82350/160000] lr: 9.375e-06, eta: 5:09:06, time: 0.192, data_time: 0.006, memory: 52540, decode.loss_ce: 0.1863, decode.acc_seg: 92.3583, loss: 0.1863 +2023-03-04 06:43:25,560 - mmseg - INFO - Iter [82400/160000] lr: 9.375e-06, eta: 5:08:52, time: 0.196, data_time: 0.006, memory: 52540, decode.loss_ce: 0.1866, decode.acc_seg: 92.3685, loss: 0.1866 +2023-03-04 06:43:35,101 - mmseg - INFO - Iter [82450/160000] lr: 9.375e-06, eta: 5:08:38, time: 0.191, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1894, decode.acc_seg: 92.1723, loss: 0.1894 +2023-03-04 06:43:44,729 - mmseg - INFO - Iter [82500/160000] lr: 9.375e-06, eta: 5:08:24, time: 0.193, data_time: 0.006, memory: 52540, decode.loss_ce: 0.1769, decode.acc_seg: 92.7523, loss: 0.1769 +2023-03-04 06:43:54,409 - mmseg - INFO - Iter [82550/160000] lr: 9.375e-06, eta: 5:08:10, time: 0.194, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1816, decode.acc_seg: 92.4467, loss: 0.1816 +2023-03-04 06:44:03,874 - mmseg - INFO - Iter [82600/160000] lr: 9.375e-06, eta: 5:07:56, time: 0.189, data_time: 0.006, memory: 52540, decode.loss_ce: 0.1874, decode.acc_seg: 92.2615, loss: 0.1874 +2023-03-04 06:44:13,537 - mmseg - INFO - Iter [82650/160000] lr: 9.375e-06, eta: 5:07:42, time: 0.193, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1842, decode.acc_seg: 92.4815, loss: 0.1842 +2023-03-04 06:44:25,849 - mmseg - INFO - Iter [82700/160000] lr: 9.375e-06, eta: 5:07:30, time: 0.246, data_time: 0.053, memory: 52540, decode.loss_ce: 0.1858, decode.acc_seg: 92.3751, loss: 0.1858 +2023-03-04 06:44:35,764 - mmseg - INFO - Iter [82750/160000] lr: 9.375e-06, eta: 5:07:16, time: 0.198, data_time: 0.006, memory: 52540, decode.loss_ce: 0.1877, decode.acc_seg: 92.3832, loss: 0.1877 +2023-03-04 06:44:45,643 - mmseg - INFO - Iter [82800/160000] lr: 9.375e-06, eta: 5:07:02, time: 0.198, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1787, decode.acc_seg: 92.7107, loss: 0.1787 +2023-03-04 06:44:55,147 - mmseg - INFO - Iter [82850/160000] lr: 9.375e-06, eta: 5:06:48, time: 0.190, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1898, decode.acc_seg: 92.1527, loss: 0.1898 +2023-03-04 06:45:04,758 - mmseg - INFO - Iter [82900/160000] lr: 9.375e-06, eta: 5:06:34, time: 0.192, data_time: 0.006, memory: 52540, decode.loss_ce: 0.1815, decode.acc_seg: 92.4545, loss: 0.1815 +2023-03-04 06:45:14,540 - mmseg - INFO - Iter [82950/160000] lr: 9.375e-06, eta: 5:06:20, time: 0.196, data_time: 0.006, memory: 52540, decode.loss_ce: 0.1794, decode.acc_seg: 92.5218, loss: 0.1794 +2023-03-04 06:45:24,203 - mmseg - INFO - Exp name: ablation_segformer_mit_b2_segformer_head_unet_fc_small_multi_step_ade_single_stage.py +2023-03-04 06:45:24,203 - mmseg - INFO - Iter [83000/160000] lr: 9.375e-06, eta: 5:06:06, time: 0.193, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1947, decode.acc_seg: 91.9661, loss: 0.1947 +2023-03-04 06:45:33,683 - mmseg - INFO - Iter [83050/160000] lr: 9.375e-06, eta: 5:05:52, time: 0.190, data_time: 0.006, memory: 52540, decode.loss_ce: 0.1807, decode.acc_seg: 92.5710, loss: 0.1807 +2023-03-04 06:45:43,300 - mmseg - INFO - Iter [83100/160000] lr: 9.375e-06, eta: 5:05:38, time: 0.192, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1814, decode.acc_seg: 92.4021, loss: 0.1814 +2023-03-04 06:45:52,945 - mmseg - INFO - Iter [83150/160000] lr: 9.375e-06, eta: 5:05:24, time: 0.193, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1897, decode.acc_seg: 92.1576, loss: 0.1897 +2023-03-04 06:46:02,671 - mmseg - INFO - Iter [83200/160000] lr: 9.375e-06, eta: 5:05:10, time: 0.195, data_time: 0.006, memory: 52540, decode.loss_ce: 0.1924, decode.acc_seg: 92.1543, loss: 0.1924 +2023-03-04 06:46:12,266 - mmseg - INFO - Iter [83250/160000] lr: 9.375e-06, eta: 5:04:56, time: 0.192, data_time: 0.006, memory: 52540, decode.loss_ce: 0.1910, decode.acc_seg: 92.2726, loss: 0.1910 +2023-03-04 06:46:24,474 - mmseg - INFO - Iter [83300/160000] lr: 9.375e-06, eta: 5:04:44, time: 0.244, data_time: 0.054, memory: 52540, decode.loss_ce: 0.1870, decode.acc_seg: 92.2775, loss: 0.1870 +2023-03-04 06:46:34,103 - mmseg - INFO - Iter [83350/160000] lr: 9.375e-06, eta: 5:04:30, time: 0.193, data_time: 0.006, memory: 52540, decode.loss_ce: 0.1834, decode.acc_seg: 92.4306, loss: 0.1834 +2023-03-04 06:46:43,613 - mmseg - INFO - Iter [83400/160000] lr: 9.375e-06, eta: 5:04:16, time: 0.190, data_time: 0.006, memory: 52540, decode.loss_ce: 0.1873, decode.acc_seg: 92.4019, loss: 0.1873 +2023-03-04 06:46:53,556 - mmseg - INFO - Iter [83450/160000] lr: 9.375e-06, eta: 5:04:02, time: 0.199, data_time: 0.006, memory: 52540, decode.loss_ce: 0.1860, decode.acc_seg: 92.2628, loss: 0.1860 +2023-03-04 06:47:03,393 - mmseg - INFO - Iter [83500/160000] lr: 9.375e-06, eta: 5:03:48, time: 0.197, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1879, decode.acc_seg: 92.2978, loss: 0.1879 +2023-03-04 06:47:13,051 - mmseg - INFO - Iter [83550/160000] lr: 9.375e-06, eta: 5:03:35, time: 0.193, data_time: 0.006, memory: 52540, decode.loss_ce: 0.1862, decode.acc_seg: 92.3908, loss: 0.1862 +2023-03-04 06:47:22,751 - mmseg - INFO - Iter [83600/160000] lr: 9.375e-06, eta: 5:03:21, time: 0.194, data_time: 0.006, memory: 52540, decode.loss_ce: 0.1797, decode.acc_seg: 92.4628, loss: 0.1797 +2023-03-04 06:47:32,370 - mmseg - INFO - Iter [83650/160000] lr: 9.375e-06, eta: 5:03:07, time: 0.192, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1830, decode.acc_seg: 92.5315, loss: 0.1830 +2023-03-04 06:47:42,008 - mmseg - INFO - Iter [83700/160000] lr: 9.375e-06, eta: 5:02:53, time: 0.193, data_time: 0.006, memory: 52540, decode.loss_ce: 0.1757, decode.acc_seg: 92.7735, loss: 0.1757 +2023-03-04 06:47:51,642 - mmseg - INFO - Iter [83750/160000] lr: 9.375e-06, eta: 5:02:39, time: 0.193, data_time: 0.006, memory: 52540, decode.loss_ce: 0.1922, decode.acc_seg: 92.2002, loss: 0.1922 +2023-03-04 06:48:01,301 - mmseg - INFO - Iter [83800/160000] lr: 9.375e-06, eta: 5:02:25, time: 0.193, data_time: 0.006, memory: 52540, decode.loss_ce: 0.1799, decode.acc_seg: 92.4012, loss: 0.1799 +2023-03-04 06:48:10,830 - mmseg - INFO - Iter [83850/160000] lr: 9.375e-06, eta: 5:02:11, time: 0.190, data_time: 0.006, memory: 52540, decode.loss_ce: 0.1914, decode.acc_seg: 92.1731, loss: 0.1914 +2023-03-04 06:48:21,227 - mmseg - INFO - Iter [83900/160000] lr: 9.375e-06, eta: 5:01:57, time: 0.208, data_time: 0.008, memory: 52540, decode.loss_ce: 0.1843, decode.acc_seg: 92.3750, loss: 0.1843 +2023-03-04 06:48:33,450 - mmseg - INFO - Iter [83950/160000] lr: 9.375e-06, eta: 5:01:46, time: 0.244, data_time: 0.054, memory: 52540, decode.loss_ce: 0.1816, decode.acc_seg: 92.5667, loss: 0.1816 +2023-03-04 06:48:43,044 - mmseg - INFO - Exp name: ablation_segformer_mit_b2_segformer_head_unet_fc_small_multi_step_ade_single_stage.py +2023-03-04 06:48:43,044 - mmseg - INFO - Iter [84000/160000] lr: 9.375e-06, eta: 5:01:32, time: 0.192, data_time: 0.006, memory: 52540, decode.loss_ce: 0.1824, decode.acc_seg: 92.5779, loss: 0.1824 +2023-03-04 06:48:52,768 - mmseg - INFO - Iter [84050/160000] lr: 9.375e-06, eta: 5:01:18, time: 0.195, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1882, decode.acc_seg: 92.2487, loss: 0.1882 +2023-03-04 06:49:02,302 - mmseg - INFO - Iter [84100/160000] lr: 9.375e-06, eta: 5:01:04, time: 0.191, data_time: 0.006, memory: 52540, decode.loss_ce: 0.1934, decode.acc_seg: 92.1377, loss: 0.1934 +2023-03-04 06:49:12,036 - mmseg - INFO - Iter [84150/160000] lr: 9.375e-06, eta: 5:00:50, time: 0.195, data_time: 0.006, memory: 52540, decode.loss_ce: 0.1849, decode.acc_seg: 92.2828, loss: 0.1849 +2023-03-04 06:49:21,821 - mmseg - INFO - Iter [84200/160000] lr: 9.375e-06, eta: 5:00:36, time: 0.196, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1870, decode.acc_seg: 92.3206, loss: 0.1870 +2023-03-04 06:49:31,389 - mmseg - INFO - Iter [84250/160000] lr: 9.375e-06, eta: 5:00:22, time: 0.191, data_time: 0.006, memory: 52540, decode.loss_ce: 0.1837, decode.acc_seg: 92.4295, loss: 0.1837 +2023-03-04 06:49:40,955 - mmseg - INFO - Iter [84300/160000] lr: 9.375e-06, eta: 5:00:08, time: 0.191, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1882, decode.acc_seg: 92.3088, loss: 0.1882 +2023-03-04 06:49:50,629 - mmseg - INFO - Iter [84350/160000] lr: 9.375e-06, eta: 4:59:54, time: 0.193, data_time: 0.006, memory: 52540, decode.loss_ce: 0.1912, decode.acc_seg: 92.2700, loss: 0.1912 +2023-03-04 06:50:00,128 - mmseg - INFO - Iter [84400/160000] lr: 9.375e-06, eta: 4:59:40, time: 0.190, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1929, decode.acc_seg: 92.0211, loss: 0.1929 +2023-03-04 06:50:09,625 - mmseg - INFO - Iter [84450/160000] lr: 9.375e-06, eta: 4:59:26, time: 0.190, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1779, decode.acc_seg: 92.5644, loss: 0.1779 +2023-03-04 06:50:19,401 - mmseg - INFO - Iter [84500/160000] lr: 9.375e-06, eta: 4:59:12, time: 0.196, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1846, decode.acc_seg: 92.3040, loss: 0.1846 +2023-03-04 06:50:28,904 - mmseg - INFO - Iter [84550/160000] lr: 9.375e-06, eta: 4:58:58, time: 0.190, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1781, decode.acc_seg: 92.6322, loss: 0.1781 +2023-03-04 06:50:41,193 - mmseg - INFO - Iter [84600/160000] lr: 9.375e-06, eta: 4:58:47, time: 0.246, data_time: 0.055, memory: 52540, decode.loss_ce: 0.1916, decode.acc_seg: 92.0947, loss: 0.1916 +2023-03-04 06:50:50,849 - mmseg - INFO - Iter [84650/160000] lr: 9.375e-06, eta: 4:58:33, time: 0.193, data_time: 0.006, memory: 52540, decode.loss_ce: 0.1872, decode.acc_seg: 92.2325, loss: 0.1872 +2023-03-04 06:51:00,454 - mmseg - INFO - Iter [84700/160000] lr: 9.375e-06, eta: 4:58:19, time: 0.192, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1848, decode.acc_seg: 92.4664, loss: 0.1848 +2023-03-04 06:51:10,208 - mmseg - INFO - Iter [84750/160000] lr: 9.375e-06, eta: 4:58:05, time: 0.195, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1915, decode.acc_seg: 92.1261, loss: 0.1915 +2023-03-04 06:51:19,672 - mmseg - INFO - Iter [84800/160000] lr: 9.375e-06, eta: 4:57:51, time: 0.189, data_time: 0.006, memory: 52540, decode.loss_ce: 0.1835, decode.acc_seg: 92.4968, loss: 0.1835 +2023-03-04 06:51:29,174 - mmseg - INFO - Iter [84850/160000] lr: 9.375e-06, eta: 4:57:37, time: 0.190, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1846, decode.acc_seg: 92.3374, loss: 0.1846 +2023-03-04 06:51:39,118 - mmseg - INFO - Iter [84900/160000] lr: 9.375e-06, eta: 4:57:24, time: 0.199, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1823, decode.acc_seg: 92.5065, loss: 0.1823 +2023-03-04 06:51:48,690 - mmseg - INFO - Iter [84950/160000] lr: 9.375e-06, eta: 4:57:10, time: 0.191, data_time: 0.006, memory: 52540, decode.loss_ce: 0.1827, decode.acc_seg: 92.5244, loss: 0.1827 +2023-03-04 06:51:58,574 - mmseg - INFO - Exp name: ablation_segformer_mit_b2_segformer_head_unet_fc_small_multi_step_ade_single_stage.py +2023-03-04 06:51:58,574 - mmseg - INFO - Iter [85000/160000] lr: 9.375e-06, eta: 4:56:56, time: 0.198, data_time: 0.006, memory: 52540, decode.loss_ce: 0.1842, decode.acc_seg: 92.4593, loss: 0.1842 +2023-03-04 06:52:08,273 - mmseg - INFO - Iter [85050/160000] lr: 9.375e-06, eta: 4:56:42, time: 0.194, data_time: 0.006, memory: 52540, decode.loss_ce: 0.1888, decode.acc_seg: 92.2345, loss: 0.1888 +2023-03-04 06:52:17,974 - mmseg - INFO - Iter [85100/160000] lr: 9.375e-06, eta: 4:56:29, time: 0.194, data_time: 0.006, memory: 52540, decode.loss_ce: 0.1871, decode.acc_seg: 92.2515, loss: 0.1871 +2023-03-04 06:52:27,763 - mmseg - INFO - Iter [85150/160000] lr: 9.375e-06, eta: 4:56:15, time: 0.196, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1947, decode.acc_seg: 92.0923, loss: 0.1947 +2023-03-04 06:52:39,986 - mmseg - INFO - Iter [85200/160000] lr: 9.375e-06, eta: 4:56:03, time: 0.244, data_time: 0.054, memory: 52540, decode.loss_ce: 0.1989, decode.acc_seg: 92.0154, loss: 0.1989 +2023-03-04 06:52:49,910 - mmseg - INFO - Iter [85250/160000] lr: 9.375e-06, eta: 4:55:50, time: 0.198, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1887, decode.acc_seg: 92.2567, loss: 0.1887 +2023-03-04 06:52:59,447 - mmseg - INFO - Iter [85300/160000] lr: 9.375e-06, eta: 4:55:36, time: 0.191, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1882, decode.acc_seg: 92.3915, loss: 0.1882 +2023-03-04 06:53:09,238 - mmseg - INFO - Iter [85350/160000] lr: 9.375e-06, eta: 4:55:22, time: 0.196, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1871, decode.acc_seg: 92.2715, loss: 0.1871 +2023-03-04 06:53:18,809 - mmseg - INFO - Iter [85400/160000] lr: 9.375e-06, eta: 4:55:08, time: 0.191, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1978, decode.acc_seg: 91.8925, loss: 0.1978 +2023-03-04 06:53:28,286 - mmseg - INFO - Iter [85450/160000] lr: 9.375e-06, eta: 4:54:54, time: 0.190, data_time: 0.006, memory: 52540, decode.loss_ce: 0.1890, decode.acc_seg: 92.1815, loss: 0.1890 +2023-03-04 06:53:37,891 - mmseg - INFO - Iter [85500/160000] lr: 9.375e-06, eta: 4:54:40, time: 0.192, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1925, decode.acc_seg: 91.9831, loss: 0.1925 +2023-03-04 06:53:47,683 - mmseg - INFO - Iter [85550/160000] lr: 9.375e-06, eta: 4:54:27, time: 0.196, data_time: 0.006, memory: 52540, decode.loss_ce: 0.1916, decode.acc_seg: 92.0819, loss: 0.1916 +2023-03-04 06:53:57,172 - mmseg - INFO - Iter [85600/160000] lr: 9.375e-06, eta: 4:54:13, time: 0.190, data_time: 0.006, memory: 52540, decode.loss_ce: 0.1831, decode.acc_seg: 92.4024, loss: 0.1831 +2023-03-04 06:54:06,915 - mmseg - INFO - Iter [85650/160000] lr: 9.375e-06, eta: 4:53:59, time: 0.195, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1881, decode.acc_seg: 92.3710, loss: 0.1881 +2023-03-04 06:54:16,995 - mmseg - INFO - Iter [85700/160000] lr: 9.375e-06, eta: 4:53:46, time: 0.202, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1847, decode.acc_seg: 92.5369, loss: 0.1847 +2023-03-04 06:54:26,601 - mmseg - INFO - Iter [85750/160000] lr: 9.375e-06, eta: 4:53:32, time: 0.192, data_time: 0.006, memory: 52540, decode.loss_ce: 0.1841, decode.acc_seg: 92.4307, loss: 0.1841 +2023-03-04 06:54:36,551 - mmseg - INFO - Iter [85800/160000] lr: 9.375e-06, eta: 4:53:18, time: 0.199, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1802, decode.acc_seg: 92.5431, loss: 0.1802 +2023-03-04 06:54:48,779 - mmseg - INFO - Iter [85850/160000] lr: 9.375e-06, eta: 4:53:07, time: 0.245, data_time: 0.055, memory: 52540, decode.loss_ce: 0.1826, decode.acc_seg: 92.4613, loss: 0.1826 +2023-03-04 06:54:58,302 - mmseg - INFO - Iter [85900/160000] lr: 9.375e-06, eta: 4:52:53, time: 0.190, data_time: 0.006, memory: 52540, decode.loss_ce: 0.1834, decode.acc_seg: 92.4355, loss: 0.1834 +2023-03-04 06:55:07,910 - mmseg - INFO - Iter [85950/160000] lr: 9.375e-06, eta: 4:52:39, time: 0.192, data_time: 0.006, memory: 52540, decode.loss_ce: 0.1890, decode.acc_seg: 92.2919, loss: 0.1890 +2023-03-04 06:55:17,336 - mmseg - INFO - Exp name: ablation_segformer_mit_b2_segformer_head_unet_fc_small_multi_step_ade_single_stage.py +2023-03-04 06:55:17,336 - mmseg - INFO - Iter [86000/160000] lr: 9.375e-06, eta: 4:52:25, time: 0.189, data_time: 0.006, memory: 52540, decode.loss_ce: 0.1818, decode.acc_seg: 92.5661, loss: 0.1818 +2023-03-04 06:55:27,071 - mmseg - INFO - Iter [86050/160000] lr: 9.375e-06, eta: 4:52:12, time: 0.195, data_time: 0.006, memory: 52540, decode.loss_ce: 0.1877, decode.acc_seg: 92.2148, loss: 0.1877 +2023-03-04 06:55:36,648 - mmseg - INFO - Iter [86100/160000] lr: 9.375e-06, eta: 4:51:58, time: 0.191, data_time: 0.006, memory: 52540, decode.loss_ce: 0.1869, decode.acc_seg: 92.3714, loss: 0.1869 +2023-03-04 06:55:46,809 - mmseg - INFO - Iter [86150/160000] lr: 9.375e-06, eta: 4:51:44, time: 0.203, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1872, decode.acc_seg: 92.1993, loss: 0.1872 +2023-03-04 06:55:56,351 - mmseg - INFO - Iter [86200/160000] lr: 9.375e-06, eta: 4:51:31, time: 0.191, data_time: 0.006, memory: 52540, decode.loss_ce: 0.1922, decode.acc_seg: 92.0978, loss: 0.1922 +2023-03-04 06:56:06,157 - mmseg - INFO - Iter [86250/160000] lr: 9.375e-06, eta: 4:51:17, time: 0.196, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1829, decode.acc_seg: 92.3911, loss: 0.1829 +2023-03-04 06:56:15,895 - mmseg - INFO - Iter [86300/160000] lr: 9.375e-06, eta: 4:51:03, time: 0.195, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1844, decode.acc_seg: 92.4871, loss: 0.1844 +2023-03-04 06:56:25,557 - mmseg - INFO - Iter [86350/160000] lr: 9.375e-06, eta: 4:50:50, time: 0.193, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1879, decode.acc_seg: 92.2896, loss: 0.1879 +2023-03-04 06:56:35,291 - mmseg - INFO - Iter [86400/160000] lr: 9.375e-06, eta: 4:50:36, time: 0.195, data_time: 0.006, memory: 52540, decode.loss_ce: 0.1837, decode.acc_seg: 92.5365, loss: 0.1837 +2023-03-04 06:56:47,506 - mmseg - INFO - Iter [86450/160000] lr: 9.375e-06, eta: 4:50:24, time: 0.244, data_time: 0.056, memory: 52540, decode.loss_ce: 0.1853, decode.acc_seg: 92.4047, loss: 0.1853 +2023-03-04 06:56:56,946 - mmseg - INFO - Iter [86500/160000] lr: 9.375e-06, eta: 4:50:11, time: 0.189, data_time: 0.006, memory: 52540, decode.loss_ce: 0.1818, decode.acc_seg: 92.5642, loss: 0.1818 +2023-03-04 06:57:06,607 - mmseg - INFO - Iter [86550/160000] lr: 9.375e-06, eta: 4:49:57, time: 0.193, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1883, decode.acc_seg: 92.1789, loss: 0.1883 +2023-03-04 06:57:16,433 - mmseg - INFO - Iter [86600/160000] lr: 9.375e-06, eta: 4:49:43, time: 0.197, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1966, decode.acc_seg: 92.1350, loss: 0.1966 +2023-03-04 06:57:25,917 - mmseg - INFO - Iter [86650/160000] lr: 9.375e-06, eta: 4:49:29, time: 0.190, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1821, decode.acc_seg: 92.4263, loss: 0.1821 +2023-03-04 06:57:35,650 - mmseg - INFO - Iter [86700/160000] lr: 9.375e-06, eta: 4:49:16, time: 0.195, data_time: 0.006, memory: 52540, decode.loss_ce: 0.1897, decode.acc_seg: 92.2533, loss: 0.1897 +2023-03-04 06:57:45,295 - mmseg - INFO - Iter [86750/160000] lr: 9.375e-06, eta: 4:49:02, time: 0.193, data_time: 0.006, memory: 52540, decode.loss_ce: 0.1833, decode.acc_seg: 92.4857, loss: 0.1833 +2023-03-04 06:57:55,008 - mmseg - INFO - Iter [86800/160000] lr: 9.375e-06, eta: 4:48:49, time: 0.194, data_time: 0.006, memory: 52540, decode.loss_ce: 0.1922, decode.acc_seg: 92.0553, loss: 0.1922 +2023-03-04 06:58:04,927 - mmseg - INFO - Iter [86850/160000] lr: 9.375e-06, eta: 4:48:35, time: 0.198, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1880, decode.acc_seg: 92.2921, loss: 0.1880 +2023-03-04 06:58:14,390 - mmseg - INFO - Iter [86900/160000] lr: 9.375e-06, eta: 4:48:21, time: 0.189, data_time: 0.006, memory: 52540, decode.loss_ce: 0.1902, decode.acc_seg: 92.2639, loss: 0.1902 +2023-03-04 06:58:24,217 - mmseg - INFO - Iter [86950/160000] lr: 9.375e-06, eta: 4:48:08, time: 0.197, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1850, decode.acc_seg: 92.2645, loss: 0.1850 +2023-03-04 06:58:34,218 - mmseg - INFO - Exp name: ablation_segformer_mit_b2_segformer_head_unet_fc_small_multi_step_ade_single_stage.py +2023-03-04 06:58:34,218 - mmseg - INFO - Iter [87000/160000] lr: 9.375e-06, eta: 4:47:54, time: 0.200, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1846, decode.acc_seg: 92.3515, loss: 0.1846 +2023-03-04 06:58:45,016 - mmseg - INFO - Iter [87050/160000] lr: 9.375e-06, eta: 4:47:42, time: 0.216, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1891, decode.acc_seg: 92.3322, loss: 0.1891 +2023-03-04 06:58:57,050 - mmseg - INFO - Iter [87100/160000] lr: 9.375e-06, eta: 4:47:30, time: 0.241, data_time: 0.054, memory: 52540, decode.loss_ce: 0.1829, decode.acc_seg: 92.5204, loss: 0.1829 +2023-03-04 06:59:06,661 - mmseg - INFO - Iter [87150/160000] lr: 9.375e-06, eta: 4:47:16, time: 0.192, data_time: 0.006, memory: 52540, decode.loss_ce: 0.1834, decode.acc_seg: 92.5791, loss: 0.1834 +2023-03-04 06:59:16,230 - mmseg - INFO - Iter [87200/160000] lr: 9.375e-06, eta: 4:47:03, time: 0.191, data_time: 0.006, memory: 52540, decode.loss_ce: 0.1849, decode.acc_seg: 92.3890, loss: 0.1849 +2023-03-04 06:59:25,823 - mmseg - INFO - Iter [87250/160000] lr: 9.375e-06, eta: 4:46:49, time: 0.192, data_time: 0.006, memory: 52540, decode.loss_ce: 0.1863, decode.acc_seg: 92.3633, loss: 0.1863 +2023-03-04 06:59:35,432 - mmseg - INFO - Iter [87300/160000] lr: 9.375e-06, eta: 4:46:35, time: 0.192, data_time: 0.006, memory: 52540, decode.loss_ce: 0.1951, decode.acc_seg: 92.0308, loss: 0.1951 +2023-03-04 06:59:44,981 - mmseg - INFO - Iter [87350/160000] lr: 9.375e-06, eta: 4:46:21, time: 0.191, data_time: 0.006, memory: 52540, decode.loss_ce: 0.1862, decode.acc_seg: 92.2892, loss: 0.1862 +2023-03-04 06:59:54,630 - mmseg - INFO - Iter 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data_time: 0.007, memory: 52540, decode.loss_ce: 0.1851, decode.acc_seg: 92.4315, loss: 0.1851 +2023-03-04 07:02:21,898 - mmseg - INFO - Iter [88150/160000] lr: 9.375e-06, eta: 4:42:46, time: 0.192, data_time: 0.006, memory: 52540, decode.loss_ce: 0.1828, decode.acc_seg: 92.5097, loss: 0.1828 +2023-03-04 07:02:31,715 - mmseg - INFO - Iter [88200/160000] lr: 9.375e-06, eta: 4:42:33, time: 0.196, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1821, decode.acc_seg: 92.5980, loss: 0.1821 +2023-03-04 07:02:41,365 - mmseg - INFO - Iter [88250/160000] lr: 9.375e-06, eta: 4:42:19, time: 0.193, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1844, decode.acc_seg: 92.4651, loss: 0.1844 +2023-03-04 07:02:51,082 - mmseg - INFO - Iter [88300/160000] lr: 9.375e-06, eta: 4:42:05, time: 0.194, data_time: 0.006, memory: 52540, decode.loss_ce: 0.1838, decode.acc_seg: 92.4384, loss: 0.1838 +2023-03-04 07:03:03,251 - mmseg - INFO - Iter [88350/160000] lr: 9.375e-06, eta: 4:41:54, time: 0.243, data_time: 0.052, memory: 52540, decode.loss_ce: 0.1950, decode.acc_seg: 91.9737, loss: 0.1950 +2023-03-04 07:03:13,316 - mmseg - INFO - Iter [88400/160000] lr: 9.375e-06, eta: 4:41:41, time: 0.201, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1873, decode.acc_seg: 92.3391, loss: 0.1873 +2023-03-04 07:03:23,087 - mmseg - INFO - Iter [88450/160000] lr: 9.375e-06, eta: 4:41:27, time: 0.196, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1900, decode.acc_seg: 92.1019, loss: 0.1900 +2023-03-04 07:03:33,103 - mmseg - INFO - Iter [88500/160000] lr: 9.375e-06, eta: 4:41:14, time: 0.200, data_time: 0.006, memory: 52540, decode.loss_ce: 0.1903, decode.acc_seg: 92.0777, loss: 0.1903 +2023-03-04 07:03:42,688 - mmseg - INFO - Iter [88550/160000] lr: 9.375e-06, eta: 4:41:00, time: 0.192, data_time: 0.006, memory: 52540, decode.loss_ce: 0.1932, decode.acc_seg: 92.1240, loss: 0.1932 +2023-03-04 07:03:52,528 - mmseg - INFO - Iter [88600/160000] lr: 9.375e-06, eta: 4:40:47, time: 0.197, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1926, decode.acc_seg: 92.1104, loss: 0.1926 +2023-03-04 07:04:02,339 - mmseg - INFO - Iter [88650/160000] lr: 9.375e-06, eta: 4:40:34, time: 0.196, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1870, decode.acc_seg: 92.4453, loss: 0.1870 +2023-03-04 07:04:12,125 - mmseg - INFO - Iter [88700/160000] lr: 9.375e-06, eta: 4:40:20, time: 0.195, data_time: 0.006, memory: 52540, decode.loss_ce: 0.1865, decode.acc_seg: 92.3969, loss: 0.1865 +2023-03-04 07:04:21,905 - mmseg - INFO - Iter [88750/160000] lr: 9.375e-06, eta: 4:40:07, time: 0.196, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1944, decode.acc_seg: 92.1678, loss: 0.1944 +2023-03-04 07:04:31,867 - mmseg - INFO - Iter [88800/160000] lr: 9.375e-06, eta: 4:39:54, time: 0.199, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1918, decode.acc_seg: 92.0248, loss: 0.1918 +2023-03-04 07:04:41,443 - mmseg - INFO - Iter [88850/160000] lr: 9.375e-06, eta: 4:39:40, time: 0.192, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1836, decode.acc_seg: 92.5209, loss: 0.1836 +2023-03-04 07:04:51,135 - mmseg - INFO - Iter [88900/160000] lr: 9.375e-06, eta: 4:39:27, time: 0.194, data_time: 0.006, memory: 52540, decode.loss_ce: 0.1838, decode.acc_seg: 92.3201, loss: 0.1838 +2023-03-04 07:05:00,637 - mmseg - INFO - Iter [88950/160000] lr: 9.375e-06, eta: 4:39:13, time: 0.190, data_time: 0.006, memory: 52540, decode.loss_ce: 0.1866, decode.acc_seg: 92.4111, loss: 0.1866 +2023-03-04 07:05:12,848 - mmseg - INFO - Exp name: ablation_segformer_mit_b2_segformer_head_unet_fc_small_multi_step_ade_single_stage.py +2023-03-04 07:05:12,848 - mmseg - INFO - Iter [89000/160000] lr: 9.375e-06, eta: 4:39:01, time: 0.244, data_time: 0.054, memory: 52540, decode.loss_ce: 0.1883, decode.acc_seg: 92.2710, loss: 0.1883 +2023-03-04 07:05:22,685 - mmseg - INFO - Iter [89050/160000] lr: 9.375e-06, eta: 4:38:48, time: 0.197, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1872, decode.acc_seg: 92.4937, loss: 0.1872 +2023-03-04 07:05:32,343 - mmseg - INFO - Iter [89100/160000] lr: 9.375e-06, eta: 4:38:35, time: 0.193, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1880, decode.acc_seg: 92.2187, loss: 0.1880 +2023-03-04 07:05:41,873 - mmseg - INFO - Iter [89150/160000] lr: 9.375e-06, eta: 4:38:21, time: 0.191, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1890, decode.acc_seg: 92.1891, loss: 0.1890 +2023-03-04 07:05:51,299 - mmseg - INFO - Iter [89200/160000] lr: 9.375e-06, eta: 4:38:07, time: 0.189, data_time: 0.006, memory: 52540, decode.loss_ce: 0.1849, decode.acc_seg: 92.3612, loss: 0.1849 +2023-03-04 07:06:00,912 - mmseg - INFO - Iter [89250/160000] lr: 9.375e-06, eta: 4:37:54, time: 0.192, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1882, decode.acc_seg: 92.3645, loss: 0.1882 +2023-03-04 07:06:10,428 - mmseg - INFO - Iter [89300/160000] lr: 9.375e-06, eta: 4:37:40, time: 0.190, data_time: 0.006, memory: 52540, decode.loss_ce: 0.1852, decode.acc_seg: 92.3922, loss: 0.1852 +2023-03-04 07:06:20,097 - mmseg - INFO - Iter [89350/160000] lr: 9.375e-06, eta: 4:37:27, time: 0.193, data_time: 0.006, memory: 52540, decode.loss_ce: 0.1844, decode.acc_seg: 92.3659, loss: 0.1844 +2023-03-04 07:06:29,621 - mmseg - INFO - Iter [89400/160000] lr: 9.375e-06, eta: 4:37:13, time: 0.190, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1874, decode.acc_seg: 92.2439, loss: 0.1874 +2023-03-04 07:06:39,720 - mmseg - INFO - Iter [89450/160000] lr: 9.375e-06, eta: 4:37:00, time: 0.202, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1822, decode.acc_seg: 92.6009, loss: 0.1822 +2023-03-04 07:06:49,253 - mmseg - INFO - Iter [89500/160000] lr: 9.375e-06, eta: 4:36:47, time: 0.191, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1825, decode.acc_seg: 92.3855, loss: 0.1825 +2023-03-04 07:06:59,088 - mmseg - INFO - Iter [89550/160000] lr: 9.375e-06, eta: 4:36:33, time: 0.197, data_time: 0.006, memory: 52540, decode.loss_ce: 0.1886, decode.acc_seg: 92.2495, loss: 0.1886 +2023-03-04 07:07:08,677 - mmseg - INFO - Iter [89600/160000] lr: 9.375e-06, eta: 4:36:20, time: 0.192, data_time: 0.006, memory: 52540, decode.loss_ce: 0.1799, decode.acc_seg: 92.6463, loss: 0.1799 +2023-03-04 07:07:20,763 - mmseg - INFO - Iter [89650/160000] lr: 9.375e-06, eta: 4:36:08, time: 0.242, data_time: 0.051, memory: 52540, decode.loss_ce: 0.1941, decode.acc_seg: 92.0337, loss: 0.1941 +2023-03-04 07:07:30,447 - mmseg - INFO - Iter [89700/160000] lr: 9.375e-06, eta: 4:35:55, time: 0.194, data_time: 0.006, memory: 52540, decode.loss_ce: 0.1917, decode.acc_seg: 92.2542, loss: 0.1917 +2023-03-04 07:07:40,417 - mmseg - INFO - Iter [89750/160000] lr: 9.375e-06, eta: 4:35:42, time: 0.199, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1861, decode.acc_seg: 92.4214, loss: 0.1861 +2023-03-04 07:07:49,943 - mmseg - INFO - Iter [89800/160000] lr: 9.375e-06, eta: 4:35:28, time: 0.191, data_time: 0.006, memory: 52540, decode.loss_ce: 0.1943, decode.acc_seg: 92.1883, loss: 0.1943 +2023-03-04 07:07:59,469 - mmseg - INFO - Iter [89850/160000] lr: 9.375e-06, eta: 4:35:15, time: 0.191, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1868, decode.acc_seg: 92.3426, loss: 0.1868 +2023-03-04 07:08:09,396 - mmseg - INFO - Iter [89900/160000] lr: 9.375e-06, eta: 4:35:01, time: 0.199, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1815, decode.acc_seg: 92.4771, loss: 0.1815 +2023-03-04 07:08:18,788 - mmseg - INFO - Iter [89950/160000] lr: 9.375e-06, eta: 4:34:48, time: 0.188, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1863, decode.acc_seg: 92.3616, loss: 0.1863 +2023-03-04 07:08:28,521 - mmseg - INFO - Exp name: ablation_segformer_mit_b2_segformer_head_unet_fc_small_multi_step_ade_single_stage.py +2023-03-04 07:08:28,521 - mmseg - INFO - Iter [90000/160000] lr: 9.375e-06, eta: 4:34:34, time: 0.195, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1908, decode.acc_seg: 92.1954, loss: 0.1908 +2023-03-04 07:08:38,043 - mmseg - INFO - Iter [90050/160000] lr: 9.375e-06, eta: 4:34:21, time: 0.190, data_time: 0.006, memory: 52540, decode.loss_ce: 0.1838, decode.acc_seg: 92.5607, loss: 0.1838 +2023-03-04 07:08:47,582 - mmseg - INFO - Iter [90100/160000] lr: 9.375e-06, eta: 4:34:07, time: 0.191, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1846, decode.acc_seg: 92.3297, loss: 0.1846 +2023-03-04 07:08:57,076 - mmseg - INFO - Iter [90150/160000] lr: 9.375e-06, eta: 4:33:54, time: 0.190, data_time: 0.006, memory: 52540, decode.loss_ce: 0.1933, decode.acc_seg: 92.1418, loss: 0.1933 +2023-03-04 07:09:06,750 - mmseg - INFO - Iter [90200/160000] lr: 9.375e-06, eta: 4:33:41, time: 0.193, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1905, decode.acc_seg: 92.2306, loss: 0.1905 +2023-03-04 07:09:18,942 - mmseg - INFO - Iter [90250/160000] lr: 9.375e-06, eta: 4:33:29, time: 0.244, data_time: 0.054, memory: 52540, decode.loss_ce: 0.1790, decode.acc_seg: 92.5983, loss: 0.1790 +2023-03-04 07:09:28,432 - mmseg - INFO - Iter [90300/160000] lr: 9.375e-06, eta: 4:33:16, time: 0.190, data_time: 0.006, memory: 52540, decode.loss_ce: 0.1882, decode.acc_seg: 92.2108, loss: 0.1882 +2023-03-04 07:09:38,067 - mmseg - INFO - Iter [90350/160000] lr: 9.375e-06, eta: 4:33:02, time: 0.193, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1787, decode.acc_seg: 92.5546, loss: 0.1787 +2023-03-04 07:09:47,824 - mmseg - INFO - Iter [90400/160000] lr: 9.375e-06, eta: 4:32:49, time: 0.195, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1897, decode.acc_seg: 92.3400, loss: 0.1897 +2023-03-04 07:09:57,851 - mmseg - INFO - Iter [90450/160000] lr: 9.375e-06, eta: 4:32:36, time: 0.201, data_time: 0.006, memory: 52540, decode.loss_ce: 0.1906, decode.acc_seg: 92.1952, loss: 0.1906 +2023-03-04 07:10:07,381 - mmseg - INFO - Iter [90500/160000] lr: 9.375e-06, eta: 4:32:22, time: 0.191, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1896, decode.acc_seg: 92.1748, loss: 0.1896 +2023-03-04 07:10:17,025 - mmseg - INFO - Iter [90550/160000] lr: 9.375e-06, eta: 4:32:09, time: 0.193, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1810, decode.acc_seg: 92.3983, loss: 0.1810 +2023-03-04 07:10:26,887 - mmseg - INFO - Iter [90600/160000] lr: 9.375e-06, eta: 4:31:56, time: 0.197, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1866, decode.acc_seg: 92.4337, loss: 0.1866 +2023-03-04 07:10:36,436 - mmseg - INFO - Iter [90650/160000] lr: 9.375e-06, eta: 4:31:42, time: 0.191, data_time: 0.006, memory: 52540, decode.loss_ce: 0.1818, decode.acc_seg: 92.4879, loss: 0.1818 +2023-03-04 07:10:46,125 - mmseg - INFO - Iter [90700/160000] lr: 9.375e-06, eta: 4:31:29, time: 0.194, data_time: 0.006, memory: 52540, decode.loss_ce: 0.1898, decode.acc_seg: 92.3227, loss: 0.1898 +2023-03-04 07:10:55,937 - mmseg - INFO - Iter [90750/160000] lr: 9.375e-06, eta: 4:31:16, time: 0.196, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1841, decode.acc_seg: 92.3280, loss: 0.1841 +2023-03-04 07:11:05,492 - mmseg - INFO - Iter [90800/160000] lr: 9.375e-06, eta: 4:31:02, time: 0.191, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1898, decode.acc_seg: 92.2406, loss: 0.1898 +2023-03-04 07:11:15,283 - mmseg - INFO - Iter [90850/160000] lr: 9.375e-06, eta: 4:30:49, time: 0.196, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1944, decode.acc_seg: 92.0061, loss: 0.1944 +2023-03-04 07:11:27,279 - mmseg - INFO - Iter [90900/160000] lr: 9.375e-06, eta: 4:30:38, time: 0.240, data_time: 0.054, memory: 52540, decode.loss_ce: 0.1796, decode.acc_seg: 92.4247, loss: 0.1796 +2023-03-04 07:11:37,060 - mmseg - INFO - Iter [90950/160000] lr: 9.375e-06, eta: 4:30:24, time: 0.196, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1818, decode.acc_seg: 92.5867, loss: 0.1818 +2023-03-04 07:11:46,853 - mmseg - INFO - Exp name: ablation_segformer_mit_b2_segformer_head_unet_fc_small_multi_step_ade_single_stage.py +2023-03-04 07:11:46,854 - mmseg - INFO - Iter [91000/160000] lr: 9.375e-06, eta: 4:30:11, time: 0.196, data_time: 0.006, memory: 52540, decode.loss_ce: 0.1905, decode.acc_seg: 92.1961, loss: 0.1905 +2023-03-04 07:11:56,738 - mmseg - INFO - Iter [91050/160000] lr: 9.375e-06, eta: 4:29:58, time: 0.197, data_time: 0.006, memory: 52540, decode.loss_ce: 0.1870, decode.acc_seg: 92.3009, loss: 0.1870 +2023-03-04 07:12:06,298 - mmseg - INFO - Iter [91100/160000] lr: 9.375e-06, eta: 4:29:44, time: 0.191, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1889, decode.acc_seg: 92.2551, loss: 0.1889 +2023-03-04 07:12:15,902 - mmseg - INFO - Iter [91150/160000] lr: 9.375e-06, eta: 4:29:31, time: 0.192, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1858, decode.acc_seg: 92.3398, loss: 0.1858 +2023-03-04 07:12:25,656 - mmseg - INFO - Iter [91200/160000] lr: 9.375e-06, eta: 4:29:18, time: 0.195, data_time: 0.006, memory: 52540, decode.loss_ce: 0.1813, decode.acc_seg: 92.5570, loss: 0.1813 +2023-03-04 07:12:35,241 - mmseg - INFO - Iter [91250/160000] lr: 9.375e-06, eta: 4:29:04, time: 0.192, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1814, decode.acc_seg: 92.3788, loss: 0.1814 +2023-03-04 07:12:44,666 - mmseg - INFO - Iter [91300/160000] lr: 9.375e-06, eta: 4:28:51, time: 0.188, data_time: 0.006, memory: 52540, decode.loss_ce: 0.1901, decode.acc_seg: 92.2905, loss: 0.1901 +2023-03-04 07:12:54,148 - mmseg - INFO - Iter [91350/160000] lr: 9.375e-06, eta: 4:28:38, time: 0.190, data_time: 0.006, memory: 52540, decode.loss_ce: 0.1820, decode.acc_seg: 92.4757, loss: 0.1820 +2023-03-04 07:13:04,319 - mmseg - INFO - Iter [91400/160000] lr: 9.375e-06, eta: 4:28:25, time: 0.203, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1935, decode.acc_seg: 92.0602, loss: 0.1935 +2023-03-04 07:13:13,976 - mmseg - INFO - Iter [91450/160000] lr: 9.375e-06, eta: 4:28:11, time: 0.194, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1933, decode.acc_seg: 92.2209, loss: 0.1933 +2023-03-04 07:13:26,403 - mmseg - INFO - Iter [91500/160000] lr: 9.375e-06, eta: 4:28:00, time: 0.249, data_time: 0.056, memory: 52540, decode.loss_ce: 0.1850, decode.acc_seg: 92.3614, loss: 0.1850 +2023-03-04 07:13:36,091 - mmseg - INFO - Iter [91550/160000] lr: 9.375e-06, eta: 4:27:47, time: 0.194, data_time: 0.006, memory: 52540, decode.loss_ce: 0.1862, decode.acc_seg: 92.3627, loss: 0.1862 +2023-03-04 07:13:45,690 - mmseg - INFO - Iter [91600/160000] lr: 9.375e-06, eta: 4:27:34, time: 0.192, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1855, decode.acc_seg: 92.3447, loss: 0.1855 +2023-03-04 07:13:55,252 - mmseg - INFO - Iter [91650/160000] lr: 9.375e-06, eta: 4:27:20, time: 0.191, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1871, decode.acc_seg: 92.3317, loss: 0.1871 +2023-03-04 07:14:04,964 - mmseg - INFO - Iter [91700/160000] lr: 9.375e-06, eta: 4:27:07, time: 0.194, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1843, decode.acc_seg: 92.5350, loss: 0.1843 +2023-03-04 07:14:14,779 - mmseg - INFO - Iter [91750/160000] lr: 9.375e-06, eta: 4:26:54, time: 0.196, data_time: 0.006, memory: 52540, decode.loss_ce: 0.1869, decode.acc_seg: 92.3011, loss: 0.1869 +2023-03-04 07:14:24,435 - mmseg - INFO - Iter [91800/160000] lr: 9.375e-06, eta: 4:26:41, time: 0.193, data_time: 0.006, memory: 52540, decode.loss_ce: 0.1878, decode.acc_seg: 92.3684, loss: 0.1878 +2023-03-04 07:14:34,280 - mmseg - INFO - Iter [91850/160000] lr: 9.375e-06, eta: 4:26:27, time: 0.197, data_time: 0.006, memory: 52540, decode.loss_ce: 0.1818, decode.acc_seg: 92.5611, loss: 0.1818 +2023-03-04 07:14:43,813 - mmseg - INFO - Iter [91900/160000] lr: 9.375e-06, eta: 4:26:14, time: 0.191, data_time: 0.006, memory: 52540, decode.loss_ce: 0.1911, decode.acc_seg: 92.2669, loss: 0.1911 +2023-03-04 07:14:53,691 - mmseg - INFO - Iter [91950/160000] lr: 9.375e-06, eta: 4:26:01, time: 0.198, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1921, decode.acc_seg: 92.1703, loss: 0.1921 +2023-03-04 07:15:03,427 - mmseg - INFO - Exp name: ablation_segformer_mit_b2_segformer_head_unet_fc_small_multi_step_ade_single_stage.py +2023-03-04 07:15:03,427 - mmseg - INFO - Iter [92000/160000] lr: 9.375e-06, eta: 4:25:48, time: 0.195, data_time: 0.006, memory: 52540, decode.loss_ce: 0.1768, decode.acc_seg: 92.7632, loss: 0.1768 +2023-03-04 07:15:13,125 - mmseg - INFO - Iter [92050/160000] lr: 9.375e-06, eta: 4:25:34, time: 0.194, data_time: 0.006, memory: 52540, decode.loss_ce: 0.1882, decode.acc_seg: 92.2596, loss: 0.1882 +2023-03-04 07:15:22,669 - mmseg - INFO - Iter [92100/160000] lr: 9.375e-06, eta: 4:25:21, time: 0.191, data_time: 0.006, memory: 52540, decode.loss_ce: 0.1846, decode.acc_seg: 92.3839, loss: 0.1846 +2023-03-04 07:15:34,933 - mmseg - INFO - Iter [92150/160000] lr: 9.375e-06, eta: 4:25:10, time: 0.245, data_time: 0.055, memory: 52540, decode.loss_ce: 0.1846, decode.acc_seg: 92.5033, loss: 0.1846 +2023-03-04 07:15:44,478 - mmseg - INFO - Iter [92200/160000] lr: 9.375e-06, eta: 4:24:57, time: 0.191, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1909, decode.acc_seg: 92.3580, loss: 0.1909 +2023-03-04 07:15:54,019 - mmseg - INFO - Iter [92250/160000] lr: 9.375e-06, eta: 4:24:43, time: 0.191, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1753, decode.acc_seg: 92.7311, loss: 0.1753 +2023-03-04 07:16:03,477 - mmseg - INFO - Iter [92300/160000] lr: 9.375e-06, eta: 4:24:30, time: 0.189, data_time: 0.006, memory: 52540, decode.loss_ce: 0.1914, decode.acc_seg: 92.2316, loss: 0.1914 +2023-03-04 07:16:12,967 - mmseg - INFO - Iter [92350/160000] lr: 9.375e-06, eta: 4:24:16, time: 0.190, data_time: 0.006, memory: 52540, decode.loss_ce: 0.1944, decode.acc_seg: 92.1122, loss: 0.1944 +2023-03-04 07:16:22,798 - mmseg - INFO - Iter [92400/160000] lr: 9.375e-06, eta: 4:24:03, time: 0.197, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1781, decode.acc_seg: 92.5496, loss: 0.1781 +2023-03-04 07:16:32,466 - mmseg - INFO - Iter [92450/160000] lr: 9.375e-06, eta: 4:23:50, time: 0.193, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1861, decode.acc_seg: 92.2431, loss: 0.1861 +2023-03-04 07:16:41,934 - mmseg - INFO - Iter [92500/160000] lr: 9.375e-06, eta: 4:23:37, time: 0.189, data_time: 0.006, memory: 52540, decode.loss_ce: 0.1900, decode.acc_seg: 92.2348, loss: 0.1900 +2023-03-04 07:16:51,669 - mmseg - INFO - Iter [92550/160000] lr: 9.375e-06, eta: 4:23:24, time: 0.195, data_time: 0.006, memory: 52540, decode.loss_ce: 0.1855, decode.acc_seg: 92.3181, loss: 0.1855 +2023-03-04 07:17:01,276 - mmseg - INFO - Iter [92600/160000] lr: 9.375e-06, eta: 4:23:10, time: 0.192, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1828, decode.acc_seg: 92.3383, loss: 0.1828 +2023-03-04 07:17:10,804 - mmseg - INFO - Iter [92650/160000] lr: 9.375e-06, eta: 4:22:57, time: 0.190, data_time: 0.006, memory: 52540, decode.loss_ce: 0.1914, decode.acc_seg: 92.0968, loss: 0.1914 +2023-03-04 07:17:20,488 - mmseg - INFO - Iter [92700/160000] lr: 9.375e-06, eta: 4:22:44, time: 0.194, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1882, decode.acc_seg: 92.3659, loss: 0.1882 +2023-03-04 07:17:30,355 - mmseg - INFO - Iter [92750/160000] lr: 9.375e-06, eta: 4:22:31, time: 0.198, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1898, decode.acc_seg: 92.2815, loss: 0.1898 +2023-03-04 07:17:42,886 - mmseg - INFO - Iter [92800/160000] lr: 9.375e-06, eta: 4:22:20, time: 0.250, data_time: 0.056, memory: 52540, decode.loss_ce: 0.1822, decode.acc_seg: 92.4806, loss: 0.1822 +2023-03-04 07:17:52,547 - mmseg - INFO - Iter [92850/160000] lr: 9.375e-06, eta: 4:22:06, time: 0.194, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1918, decode.acc_seg: 92.1373, loss: 0.1918 +2023-03-04 07:18:02,214 - mmseg - INFO - Iter [92900/160000] lr: 9.375e-06, eta: 4:21:53, time: 0.193, data_time: 0.006, memory: 52540, decode.loss_ce: 0.1856, decode.acc_seg: 92.3509, loss: 0.1856 +2023-03-04 07:18:11,728 - mmseg - INFO - Iter [92950/160000] lr: 9.375e-06, eta: 4:21:40, time: 0.190, data_time: 0.006, memory: 52540, decode.loss_ce: 0.1870, decode.acc_seg: 92.4510, loss: 0.1870 +2023-03-04 07:18:21,455 - mmseg - INFO - Exp name: ablation_segformer_mit_b2_segformer_head_unet_fc_small_multi_step_ade_single_stage.py +2023-03-04 07:18:21,455 - mmseg - INFO - Iter [93000/160000] lr: 9.375e-06, eta: 4:21:27, time: 0.195, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1861, decode.acc_seg: 92.3588, loss: 0.1861 +2023-03-04 07:18:30,954 - mmseg - INFO - Iter [93050/160000] lr: 9.375e-06, eta: 4:21:14, time: 0.190, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1859, decode.acc_seg: 92.4079, loss: 0.1859 +2023-03-04 07:18:40,417 - mmseg - INFO - Iter [93100/160000] lr: 9.375e-06, eta: 4:21:00, time: 0.189, data_time: 0.006, memory: 52540, decode.loss_ce: 0.1943, decode.acc_seg: 91.9592, loss: 0.1943 +2023-03-04 07:18:50,126 - mmseg - INFO - Iter [93150/160000] lr: 9.375e-06, eta: 4:20:47, time: 0.194, data_time: 0.006, memory: 52540, decode.loss_ce: 0.1884, decode.acc_seg: 92.2427, loss: 0.1884 +2023-03-04 07:18:59,851 - mmseg - INFO - Iter [93200/160000] lr: 9.375e-06, eta: 4:20:34, time: 0.195, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1805, decode.acc_seg: 92.5679, loss: 0.1805 +2023-03-04 07:19:09,440 - mmseg - INFO - Iter [93250/160000] lr: 9.375e-06, eta: 4:20:21, time: 0.192, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1852, decode.acc_seg: 92.4087, loss: 0.1852 +2023-03-04 07:19:18,897 - mmseg - INFO - Iter [93300/160000] lr: 9.375e-06, eta: 4:20:07, time: 0.189, data_time: 0.006, memory: 52540, decode.loss_ce: 0.1853, decode.acc_seg: 92.3114, loss: 0.1853 +2023-03-04 07:19:28,791 - mmseg - INFO - Iter [93350/160000] lr: 9.375e-06, eta: 4:19:54, time: 0.198, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1873, decode.acc_seg: 92.2119, loss: 0.1873 +2023-03-04 07:19:40,870 - mmseg - INFO - Iter [93400/160000] lr: 9.375e-06, eta: 4:19:43, time: 0.242, data_time: 0.056, memory: 52540, decode.loss_ce: 0.1834, decode.acc_seg: 92.4574, loss: 0.1834 +2023-03-04 07:19:50,816 - mmseg - INFO - Iter [93450/160000] lr: 9.375e-06, eta: 4:19:30, time: 0.199, data_time: 0.006, memory: 52540, decode.loss_ce: 0.1850, decode.acc_seg: 92.3722, loss: 0.1850 +2023-03-04 07:20:00,792 - mmseg - INFO - Iter [93500/160000] lr: 9.375e-06, eta: 4:19:17, time: 0.200, data_time: 0.006, memory: 52540, decode.loss_ce: 0.1948, decode.acc_seg: 91.9900, loss: 0.1948 +2023-03-04 07:20:10,303 - mmseg - INFO - Iter [93550/160000] lr: 9.375e-06, eta: 4:19:04, time: 0.190, data_time: 0.006, memory: 52540, decode.loss_ce: 0.1865, decode.acc_seg: 92.2843, loss: 0.1865 +2023-03-04 07:20:19,907 - mmseg - INFO - Iter [93600/160000] lr: 9.375e-06, eta: 4:18:51, time: 0.192, data_time: 0.006, memory: 52540, decode.loss_ce: 0.1819, decode.acc_seg: 92.4961, loss: 0.1819 +2023-03-04 07:20:29,375 - mmseg - INFO - Iter [93650/160000] lr: 9.375e-06, eta: 4:18:37, time: 0.189, data_time: 0.006, memory: 52540, decode.loss_ce: 0.1766, decode.acc_seg: 92.7206, loss: 0.1766 +2023-03-04 07:20:39,083 - mmseg - INFO - Iter [93700/160000] lr: 9.375e-06, eta: 4:18:24, time: 0.194, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1767, decode.acc_seg: 92.6483, loss: 0.1767 +2023-03-04 07:20:48,544 - mmseg - INFO - Iter [93750/160000] lr: 9.375e-06, eta: 4:18:11, time: 0.189, data_time: 0.006, memory: 52540, decode.loss_ce: 0.1871, decode.acc_seg: 92.3440, loss: 0.1871 +2023-03-04 07:20:58,156 - mmseg - INFO - Iter [93800/160000] lr: 9.375e-06, eta: 4:17:58, time: 0.192, data_time: 0.006, memory: 52540, decode.loss_ce: 0.1863, decode.acc_seg: 92.2746, loss: 0.1863 +2023-03-04 07:21:07,900 - mmseg - INFO - Iter [93850/160000] lr: 9.375e-06, eta: 4:17:45, time: 0.195, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1834, decode.acc_seg: 92.4772, loss: 0.1834 +2023-03-04 07:21:17,529 - mmseg - INFO - Iter [93900/160000] lr: 9.375e-06, eta: 4:17:32, time: 0.193, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1945, decode.acc_seg: 92.0910, loss: 0.1945 +2023-03-04 07:21:27,221 - mmseg - INFO - Iter [93950/160000] lr: 9.375e-06, eta: 4:17:19, time: 0.194, data_time: 0.006, memory: 52540, decode.loss_ce: 0.1873, decode.acc_seg: 92.4632, loss: 0.1873 +2023-03-04 07:21:37,007 - mmseg - INFO - Exp name: ablation_segformer_mit_b2_segformer_head_unet_fc_small_multi_step_ade_single_stage.py +2023-03-04 07:21:37,007 - mmseg - INFO - Iter [94000/160000] lr: 9.375e-06, eta: 4:17:06, time: 0.196, data_time: 0.006, memory: 52540, decode.loss_ce: 0.1813, decode.acc_seg: 92.3999, loss: 0.1813 +2023-03-04 07:21:48,991 - mmseg - INFO - Iter [94050/160000] lr: 9.375e-06, eta: 4:16:54, time: 0.240, data_time: 0.054, memory: 52540, decode.loss_ce: 0.1830, decode.acc_seg: 92.3179, loss: 0.1830 +2023-03-04 07:21:58,589 - mmseg - INFO - Iter [94100/160000] lr: 9.375e-06, eta: 4:16:41, time: 0.192, data_time: 0.006, memory: 52540, decode.loss_ce: 0.1776, decode.acc_seg: 92.6732, loss: 0.1776 +2023-03-04 07:22:08,218 - mmseg - INFO - Iter [94150/160000] lr: 9.375e-06, eta: 4:16:28, time: 0.193, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1906, decode.acc_seg: 92.1793, loss: 0.1906 +2023-03-04 07:22:17,791 - mmseg - INFO - Iter [94200/160000] lr: 9.375e-06, eta: 4:16:15, time: 0.191, data_time: 0.006, memory: 52540, decode.loss_ce: 0.1866, decode.acc_seg: 92.1791, loss: 0.1866 +2023-03-04 07:22:27,437 - mmseg - INFO - Iter [94250/160000] lr: 9.375e-06, eta: 4:16:02, time: 0.193, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1904, decode.acc_seg: 92.0970, loss: 0.1904 +2023-03-04 07:22:37,029 - mmseg - INFO - Iter [94300/160000] lr: 9.375e-06, eta: 4:15:48, time: 0.192, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1901, decode.acc_seg: 92.1772, loss: 0.1901 +2023-03-04 07:22:46,471 - mmseg - INFO - Iter [94350/160000] lr: 9.375e-06, eta: 4:15:35, time: 0.189, data_time: 0.006, memory: 52540, decode.loss_ce: 0.1845, decode.acc_seg: 92.3522, loss: 0.1845 +2023-03-04 07:22:56,222 - mmseg - INFO - Iter [94400/160000] lr: 9.375e-06, eta: 4:15:22, time: 0.195, data_time: 0.006, memory: 52540, decode.loss_ce: 0.1891, decode.acc_seg: 92.0413, loss: 0.1891 +2023-03-04 07:23:05,667 - mmseg - INFO - Iter [94450/160000] lr: 9.375e-06, eta: 4:15:09, time: 0.189, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1864, decode.acc_seg: 92.3336, loss: 0.1864 +2023-03-04 07:23:15,382 - mmseg - INFO - Iter [94500/160000] lr: 9.375e-06, eta: 4:14:56, time: 0.194, data_time: 0.006, memory: 52540, decode.loss_ce: 0.1802, decode.acc_seg: 92.5472, loss: 0.1802 +2023-03-04 07:23:25,272 - mmseg - INFO - Iter [94550/160000] lr: 9.375e-06, eta: 4:14:43, time: 0.198, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1872, decode.acc_seg: 92.3923, loss: 0.1872 +2023-03-04 07:23:34,986 - mmseg - INFO - Iter [94600/160000] lr: 9.375e-06, eta: 4:14:30, time: 0.195, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1770, decode.acc_seg: 92.7286, loss: 0.1770 +2023-03-04 07:23:44,403 - mmseg - INFO - Iter [94650/160000] lr: 9.375e-06, eta: 4:14:17, time: 0.188, data_time: 0.006, memory: 52540, decode.loss_ce: 0.1807, decode.acc_seg: 92.4144, loss: 0.1807 +2023-03-04 07:23:56,781 - mmseg - INFO - Iter [94700/160000] lr: 9.375e-06, eta: 4:14:06, time: 0.248, data_time: 0.057, memory: 52540, decode.loss_ce: 0.1829, decode.acc_seg: 92.4935, loss: 0.1829 +2023-03-04 07:24:06,525 - mmseg - INFO - Iter [94750/160000] lr: 9.375e-06, eta: 4:13:53, time: 0.195, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1880, decode.acc_seg: 92.4241, loss: 0.1880 +2023-03-04 07:24:16,334 - mmseg - INFO - Iter [94800/160000] lr: 9.375e-06, eta: 4:13:40, time: 0.196, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1846, decode.acc_seg: 92.3992, loss: 0.1846 +2023-03-04 07:24:26,659 - mmseg - INFO - Iter [94850/160000] lr: 9.375e-06, eta: 4:13:27, time: 0.206, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1984, decode.acc_seg: 91.8224, loss: 0.1984 +2023-03-04 07:24:36,167 - mmseg - INFO - Iter [94900/160000] lr: 9.375e-06, eta: 4:13:14, time: 0.190, data_time: 0.006, memory: 52540, decode.loss_ce: 0.1927, decode.acc_seg: 92.0814, loss: 0.1927 +2023-03-04 07:24:45,706 - mmseg - INFO - Iter [94950/160000] lr: 9.375e-06, eta: 4:13:01, time: 0.191, data_time: 0.006, memory: 52540, decode.loss_ce: 0.1859, decode.acc_seg: 92.2585, loss: 0.1859 +2023-03-04 07:24:55,409 - mmseg - INFO - Exp name: ablation_segformer_mit_b2_segformer_head_unet_fc_small_multi_step_ade_single_stage.py +2023-03-04 07:24:55,409 - mmseg - INFO - Iter [95000/160000] lr: 9.375e-06, eta: 4:12:48, time: 0.194, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1904, decode.acc_seg: 92.2232, loss: 0.1904 +2023-03-04 07:25:05,049 - mmseg - INFO - Iter [95050/160000] lr: 9.375e-06, eta: 4:12:35, time: 0.193, data_time: 0.006, memory: 52540, decode.loss_ce: 0.1820, decode.acc_seg: 92.4476, loss: 0.1820 +2023-03-04 07:25:14,545 - mmseg - INFO - Iter [95100/160000] lr: 9.375e-06, eta: 4:12:22, time: 0.190, data_time: 0.006, memory: 52540, decode.loss_ce: 0.1845, decode.acc_seg: 92.4065, loss: 0.1845 +2023-03-04 07:25:24,342 - mmseg - INFO - Iter [95150/160000] lr: 9.375e-06, eta: 4:12:09, time: 0.196, data_time: 0.006, memory: 52540, decode.loss_ce: 0.1861, decode.acc_seg: 92.4113, loss: 0.1861 +2023-03-04 07:25:34,059 - mmseg - INFO - Iter [95200/160000] lr: 9.375e-06, eta: 4:11:56, time: 0.194, data_time: 0.006, memory: 52540, decode.loss_ce: 0.1850, decode.acc_seg: 92.5173, loss: 0.1850 +2023-03-04 07:25:43,636 - mmseg - INFO - Iter [95250/160000] lr: 9.375e-06, eta: 4:11:43, time: 0.192, data_time: 0.006, memory: 52540, decode.loss_ce: 0.1837, decode.acc_seg: 92.4956, loss: 0.1837 +2023-03-04 07:25:55,677 - mmseg - INFO - Iter [95300/160000] lr: 9.375e-06, eta: 4:11:31, time: 0.241, data_time: 0.055, memory: 52540, decode.loss_ce: 0.1833, decode.acc_seg: 92.4097, loss: 0.1833 +2023-03-04 07:26:05,757 - mmseg - INFO - Iter [95350/160000] lr: 9.375e-06, eta: 4:11:18, time: 0.202, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1786, decode.acc_seg: 92.6049, loss: 0.1786 +2023-03-04 07:26:15,460 - mmseg - INFO - Iter [95400/160000] lr: 9.375e-06, eta: 4:11:05, time: 0.194, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1957, decode.acc_seg: 92.0974, loss: 0.1957 +2023-03-04 07:26:25,148 - mmseg - INFO - Iter [95450/160000] lr: 9.375e-06, eta: 4:10:52, time: 0.194, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1871, decode.acc_seg: 92.2594, loss: 0.1871 +2023-03-04 07:26:34,767 - mmseg - INFO - Iter [95500/160000] lr: 9.375e-06, eta: 4:10:39, time: 0.192, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1850, decode.acc_seg: 92.4045, loss: 0.1850 +2023-03-04 07:26:44,418 - mmseg - INFO - Iter [95550/160000] lr: 9.375e-06, eta: 4:10:26, time: 0.193, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1821, decode.acc_seg: 92.4429, loss: 0.1821 +2023-03-04 07:26:54,050 - mmseg - INFO - Iter [95600/160000] lr: 9.375e-06, eta: 4:10:13, time: 0.193, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1799, decode.acc_seg: 92.6283, loss: 0.1799 +2023-03-04 07:27:03,761 - mmseg - INFO - Iter [95650/160000] lr: 9.375e-06, eta: 4:10:00, time: 0.194, data_time: 0.006, memory: 52540, decode.loss_ce: 0.1862, decode.acc_seg: 92.3743, loss: 0.1862 +2023-03-04 07:27:13,379 - mmseg - INFO - Iter [95700/160000] lr: 9.375e-06, eta: 4:09:47, time: 0.193, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1844, decode.acc_seg: 92.4639, loss: 0.1844 +2023-03-04 07:27:22,800 - mmseg - INFO - Iter [95750/160000] lr: 9.375e-06, eta: 4:09:34, time: 0.188, data_time: 0.006, memory: 52540, decode.loss_ce: 0.1924, decode.acc_seg: 92.3022, loss: 0.1924 +2023-03-04 07:27:32,732 - mmseg - INFO - Iter [95800/160000] lr: 9.375e-06, eta: 4:09:21, time: 0.199, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1800, decode.acc_seg: 92.4946, loss: 0.1800 +2023-03-04 07:27:42,736 - mmseg - INFO - Iter [95850/160000] lr: 9.375e-06, eta: 4:09:09, time: 0.200, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1901, decode.acc_seg: 92.2276, loss: 0.1901 +2023-03-04 07:27:52,179 - mmseg - INFO - Iter [95900/160000] lr: 9.375e-06, eta: 4:08:55, time: 0.189, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1826, decode.acc_seg: 92.4507, loss: 0.1826 +2023-03-04 07:28:04,585 - mmseg - INFO - Iter [95950/160000] lr: 9.375e-06, eta: 4:08:44, time: 0.248, data_time: 0.058, memory: 52540, decode.loss_ce: 0.1866, decode.acc_seg: 92.3889, loss: 0.1866 +2023-03-04 07:28:14,288 - mmseg - INFO - Swap parameters (after train) after iter [96000] +2023-03-04 07:28:14,301 - mmseg - INFO - Saving checkpoint at 96000 iterations +2023-03-04 07:28:15,355 - mmseg - INFO - Exp name: ablation_segformer_mit_b2_segformer_head_unet_fc_small_multi_step_ade_single_stage.py +2023-03-04 07:28:15,355 - mmseg - INFO - Iter [96000/160000] lr: 9.375e-06, eta: 4:08:32, time: 0.216, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1872, decode.acc_seg: 92.4198, loss: 0.1872 +2023-03-04 07:39:05,801 - mmseg - INFO - per class results: +2023-03-04 07:39:05,810 - mmseg - INFO - ++---------------------+-------------------------------------------------------------------+ +| Class | IoU 0,10,20,30,40,50,60,70,80,90,99 | ++---------------------+-------------------------------------------------------------------+ +| background | nan,nan,nan,nan,nan,nan,nan,nan,nan,nan,nan | +| wall | 77.43,77.46,77.48,77.49,77.5,77.5,77.52,77.53,77.53,77.52,77.52 | +| building | 81.67,81.67,81.69,81.7,81.7,81.71,81.72,81.72,81.73,81.72,81.73 | +| sky | 94.44,94.45,94.45,94.46,94.47,94.47,94.48,94.49,94.49,94.49,94.48 | +| floor | 81.66,81.68,81.69,81.69,81.69,81.69,81.7,81.7,81.69,81.69,81.72 | +| tree | 74.38,74.36,74.39,74.39,74.39,74.41,74.4,74.42,74.41,74.38,74.38 | +| ceiling | 85.33,85.37,85.37,85.38,85.37,85.35,85.37,85.38,85.37,85.35,85.35 | +| road | 82.29,82.33,82.36,82.31,82.31,82.31,82.3,82.32,82.35,82.4,82.37 | +| bed | 87.62,87.64,87.65,87.72,87.79,87.83,87.84,87.87,87.83,87.8,87.81 | +| windowpane | 60.76,60.82,60.82,60.81,60.77,60.8,60.76,60.74,60.72,60.73,60.74 | +| grass | 67.16,67.21,67.25,67.3,67.32,67.38,67.4,67.4,67.41,67.41,67.48 | +| cabinet | 61.21,61.38,61.45,61.59,61.69,61.86,61.96,62.0,62.05,61.97,62.06 | +| sidewalk | 64.57,64.66,64.7,64.66,64.69,64.65,64.64,64.67,64.71,64.78,64.72 | +| person | 79.71,79.73,79.73,79.77,79.78,79.79,79.81,79.82,79.85,79.85,79.82 | +| earth | 35.96,35.98,35.97,35.9,35.91,35.87,35.87,35.89,35.87,35.85,35.81 | +| door | 45.84,45.82,45.84,45.86,45.87,45.86,45.89,45.85,45.85,45.82,45.72 | +| table | 61.22,61.35,61.44,61.5,61.56,61.64,61.66,61.71,61.75,61.76,61.77 | +| mountain | 56.52,56.54,56.6,56.71,56.78,56.83,56.9,57.01,57.13,57.16,57.25 | +| plant | 49.56,49.55,49.56,49.48,49.5,49.5,49.48,49.54,49.54,49.51,49.48 | +| curtain | 74.51,74.53,74.56,74.55,74.56,74.56,74.57,74.53,74.55,74.58,74.61 | +| chair | 56.6,56.61,56.61,56.63,56.68,56.64,56.62,56.59,56.58,56.58,56.61 | +| car | 81.89,81.9,81.97,81.98,82.01,82.03,82.07,82.08,82.09,82.12,82.15 | +| water | 57.24,57.23,57.25,57.26,57.29,57.28,57.31,57.32,57.31,57.33,57.35 | +| painting | 70.97,70.97,70.89,70.83,70.81,70.66,70.62,70.68,70.62,70.55,70.5 | +| sofa | 64.86,64.92,64.99,65.09,65.21,65.19,65.14,65.09,65.03,65.11,64.93 | +| shelf | 44.26,44.25,44.26,44.27,44.25,44.24,44.29,44.3,44.23,44.25,44.31 | +| house | 43.09,43.14,43.18,43.35,43.36,43.47,43.6,43.54,43.58,43.58,43.51 | +| sea | 60.37,60.34,60.37,60.38,60.41,60.39,60.39,60.34,60.33,60.32,60.31 | +| mirror | 67.22,67.47,67.6,67.75,67.84,67.98,68.04,68.04,68.08,68.17,68.06 | +| rug | 64.97,65.08,65.05,65.05,65.17,65.2,65.26,65.34,65.35,65.35,65.47 | +| field | 30.97,30.95,30.94,30.92,30.9,30.87,30.83,30.83,30.79,30.78,30.78 | +| armchair | 37.65,37.73,37.68,37.88,37.89,37.98,37.86,37.96,37.91,37.95,37.82 | +| seat | 65.79,65.92,65.9,66.03,66.14,66.24,66.31,66.36,66.44,66.48,66.52 | +| fence | 40.79,40.85,40.89,40.81,40.81,40.74,40.79,40.84,40.8,40.78,40.71 | +| desk | 46.7,46.87,46.95,47.0,47.02,47.18,47.31,47.39,47.39,47.4,47.4 | +| rock | 36.71,36.8,36.81,36.82,36.87,36.95,36.98,37.06,37.21,37.23,37.24 | +| wardrobe | 57.56,57.54,57.56,57.5,57.54,57.51,57.51,57.47,57.46,57.25,57.23 | +| lamp | 62.32,62.36,62.38,62.4,62.4,62.47,62.44,62.42,62.44,62.42,62.46 | +| bathtub | 77.58,77.52,77.48,77.37,77.45,77.28,76.95,76.78,76.76,76.55,76.44 | +| railing | 33.43,33.45,33.49,33.45,33.52,33.49,33.49,33.52,33.5,33.5,33.55 | +| cushion | 57.0,56.98,56.76,56.82,56.99,56.91,56.84,56.84,56.79,56.81,56.6 | +| base | 22.49,22.71,22.63,22.84,22.83,22.88,22.99,23.19,23.52,23.55,23.51 | +| box | 23.27,23.34,23.34,23.43,23.49,23.46,23.41,23.48,23.46,23.46,23.52 | +| column | 45.84,45.96,46.03,46.04,46.12,46.24,46.37,46.29,46.35,46.4,46.53 | +| signboard | 37.61,37.64,37.68,37.67,37.65,37.62,37.63,37.6,37.59,37.54,37.6 | +| chest of drawers | 36.08,36.22,36.21,36.33,36.48,36.52,36.58,36.63,36.66,36.7,36.8 | +| counter | 31.59,31.61,31.66,31.8,31.71,31.84,31.92,31.97,32.03,31.98,32.07 | +| sand | 41.77,41.84,41.91,41.92,42.01,42.02,42.06,42.09,42.11,42.13,42.12 | +| sink | 67.78,67.79,67.72,67.72,67.69,67.65,67.59,67.56,67.54,67.58,67.51 | +| skyscraper | 49.78,49.49,49.38,49.13,49.11,48.84,48.63,48.62,48.6,48.57,48.48 | +| fireplace | 76.56,76.69,76.73,76.75,76.77,76.77,76.82,76.76,76.89,76.87,76.88 | +| refrigerator | 76.27,76.39,76.54,76.75,76.8,76.82,77.06,77.12,77.18,77.17,77.09 | +| grandstand | 52.97,53.46,53.49,53.72,53.92,54.08,54.15,54.43,54.66,54.81,54.86 | +| path | 22.33,22.45,22.52,22.56,22.66,22.7,22.71,22.73,22.78,22.79,22.8 | +| stairs | 32.06,32.11,32.03,32.08,32.08,32.07,31.97,31.95,32.04,31.98,31.97 | +| runway | 67.85,67.77,67.95,67.99,68.0,68.01,67.94,68.0,68.02,67.98,68.0 | +| case | 49.15,49.1,49.13,49.2,49.12,49.19,49.19,49.16,49.31,49.19,48.97 | +| pool table | 91.53,91.52,91.52,91.55,91.48,91.5,91.49,91.54,91.54,91.57,91.65 | +| pillow | 60.42,60.37,60.07,60.12,60.18,60.02,59.9,60.01,59.72,59.58,59.16 | +| screen door | 69.67,69.77,69.66,69.73,69.77,69.8,69.49,69.34,69.08,69.02,68.47 | +| stairway | 24.13,24.26,24.32,24.3,24.29,24.3,24.37,24.36,24.39,24.34,24.45 | +| river | 12.15,12.13,12.14,12.14,12.13,12.12,12.12,12.12,12.13,12.11,12.1 | +| bridge | 31.42,31.34,31.39,31.36,31.46,31.42,31.52,31.52,31.32,31.35,31.33 | +| bookcase | 46.44,46.43,46.4,46.37,46.64,46.47,46.5,46.43,46.52,46.45,46.29 | +| blind | 40.36,40.24,40.26,40.14,39.98,39.91,39.76,39.6,39.51,39.54,39.36 | +| coffee table | 53.3,53.55,53.49,53.58,53.68,53.76,53.85,53.91,54.01,53.96,53.77 | +| toilet | 83.59,83.57,83.57,83.66,83.73,83.66,83.54,83.52,83.56,83.5,83.53 | +| flower | 38.92,38.77,38.86,38.81,38.85,38.74,38.83,38.84,38.77,38.78,38.83 | +| book | 45.06,45.16,45.07,45.05,45.13,45.05,45.12,45.12,45.25,45.2,45.29 | +| hill | 15.71,15.68,15.46,15.45,15.42,15.33,15.35,15.3,15.29,15.3,15.3 | +| bench | 42.59,42.51,42.33,42.36,42.26,42.2,42.2,42.07,42.0,42.0,41.81 | +| countertop | 56.08,56.14,56.37,56.29,56.44,56.48,56.66,56.66,56.71,56.75,56.91 | +| stove | 72.18,72.17,72.32,72.58,72.61,72.83,72.86,72.79,73.01,72.99,73.09 | +| palm | 47.94,47.93,47.86,47.88,47.79,47.85,47.86,47.81,47.82,47.77,47.67 | +| kitchen island | 45.19,45.23,45.41,45.62,45.58,45.55,45.7,45.71,45.66,45.8,45.91 | +| computer | 60.52,60.47,60.56,60.56,60.56,60.59,60.59,60.52,60.46,60.42,60.42 | +| swivel chair | 44.57,44.77,44.84,44.66,44.96,45.05,44.95,45.09,45.21,45.25,45.23 | +| boat | 73.44,73.48,73.63,73.79,73.77,73.85,73.89,73.93,73.97,74.05,74.15 | +| bar | 23.95,23.96,23.96,23.96,23.94,23.97,24.0,23.99,24.01,23.96,23.93 | +| arcade machine | 69.63,69.5,69.81,70.3,70.57,71.11,71.25,71.85,72.02,71.8,71.54 | +| hovel | 32.22,32.36,32.47,32.22,32.44,31.9,31.39,31.17,31.28,30.76,30.45 | +| bus | 79.42,79.35,79.37,79.35,79.5,79.45,79.47,79.59,79.61,79.63,79.62 | +| towel | 61.61,61.62,61.72,61.7,61.66,61.75,61.58,61.68,61.6,61.39,61.38 | +| light | 55.7,55.73,55.83,55.89,55.95,55.97,55.98,55.99,56.0,56.03,56.06 | +| truck | 19.43,19.3,19.15,19.22,19.18,19.17,19.14,19.19,18.99,18.86,18.74 | +| tower | 9.21,9.23,9.25,9.24,9.21,9.27,9.2,9.21,9.25,9.22,9.23 | +| chandelier | 64.52,64.58,64.67,64.71,64.73,64.63,64.64,64.7,64.68,64.66,64.75 | +| awning | 23.74,24.1,24.13,24.42,24.62,24.77,24.74,24.78,24.84,24.85,24.76 | +| streetlight | 27.02,27.21,27.21,27.26,27.26,27.3,27.29,27.4,27.37,27.38,27.53 | +| booth | 47.26,47.83,48.03,48.29,48.91,49.16,50.0,50.26,50.37,50.6,50.51 | +| television receiver | 64.26,64.34,64.39,64.38,64.46,64.47,64.53,64.49,64.64,64.67,64.59 | +| airplane | 61.07,60.87,60.99,60.94,60.89,60.83,60.77,60.61,60.49,60.56,60.53 | +| dirt track | 20.37,20.56,20.83,21.02,21.07,21.22,21.47,21.51,21.77,22.0,22.29 | +| apparel | 34.74,35.0,35.13,35.26,35.36,35.34,35.75,35.71,35.97,36.04,36.12 | +| pole | 18.42,18.44,18.27,18.18,18.27,18.18,18.23,18.0,18.29,18.22,18.24 | +| land | 3.62,3.58,3.56,3.59,3.67,3.66,3.7,3.67,3.59,3.58,3.7 | +| bannister | 11.2,11.36,11.37,11.38,11.52,11.48,11.55,11.62,11.64,11.7,11.76 | +| escalator | 24.48,24.51,24.43,24.48,24.45,24.4,24.57,24.54,24.63,24.68,24.52 | +| ottoman | 41.53,41.94,41.75,42.07,42.32,42.51,42.76,42.76,42.76,42.51,42.33 | +| bottle | 35.09,35.25,35.18,35.21,35.09,35.19,35.21,35.33,35.33,35.35,35.45 | +| buffet | 41.9,42.33,42.96,43.32,43.64,44.44,44.74,44.92,45.37,45.47,45.76 | +| poster | 23.26,23.34,23.4,23.31,23.42,23.5,23.43,23.56,23.48,23.57,23.73 | +| stage | 14.19,13.78,13.65,13.97,13.33,13.17,13.06,12.89,12.71,12.73,12.49 | +| van | 38.45,38.36,38.36,38.29,38.31,38.25,38.22,38.35,38.26,38.32,38.24 | +| ship | 82.81,82.92,82.96,83.3,83.15,83.41,83.54,83.54,83.55,83.49,83.41 | +| fountain | 19.04,19.2,19.4,19.54,19.96,20.06,20.34,20.79,20.75,21.16,21.26 | +| conveyer belt | 85.75,85.91,85.9,86.18,86.32,86.49,86.65,86.82,86.79,86.87,86.88 | +| canopy | 22.84,23.18,23.59,23.98,24.28,24.3,24.54,24.61,24.92,25.04,25.18 | +| washer | 74.74,74.74,75.06,75.23,75.38,75.49,75.69,75.78,75.82,76.0,75.91 | +| plaything | 20.55,20.55,20.52,20.52,20.43,20.54,20.54,20.57,20.56,20.52,20.57 | +| swimming pool | 74.18,74.42,74.85,74.93,75.04,75.12,75.54,75.11,75.3,75.07,74.96 | +| stool | 43.11,43.01,42.95,42.92,42.87,42.82,42.55,42.54,42.55,42.45,42.45 | +| barrel | 39.13,39.55,38.52,38.21,38.01,37.34,37.48,35.77,34.98,35.17,34.55 | +| basket | 24.28,24.26,24.25,24.44,24.44,24.4,24.31,24.34,24.23,24.19,24.13 | +| waterfall | 49.09,49.08,49.11,48.92,49.06,49.04,49.03,49.09,48.87,48.95,48.91 | +| tent | 93.64,93.63,93.68,93.62,93.65,93.66,93.69,93.78,93.84,93.86,93.91 | +| bag | 15.37,15.42,15.25,15.36,15.39,15.27,15.12,15.22,15.14,15.06,14.9 | +| minibike | 61.83,61.84,61.82,62.06,61.97,62.23,62.2,62.37,62.43,62.43,62.43 | +| cradle | 85.2,85.39,85.49,85.62,85.77,85.9,85.9,86.06,86.19,86.26,86.34 | +| oven | 49.83,49.63,50.16,50.28,50.59,50.89,50.99,50.94,51.32,51.41,51.52 | +| ball | 44.22,44.19,44.23,44.31,44.32,44.2,44.24,44.33,44.24,44.3,44.24 | +| food | 54.95,55.01,55.08,54.95,55.11,54.96,54.87,54.94,54.9,54.98,55.02 | +| step | 7.16,7.31,7.32,7.35,7.47,7.57,7.62,7.68,7.78,7.73,7.7 | +| tank | 52.09,52.04,51.71,51.61,51.52,51.39,51.22,51.16,51.07,50.97,50.91 | +| trade name | 27.79,27.59,27.78,27.83,27.57,27.67,27.5,27.51,27.33,27.3,27.65 | +| microwave | 75.28,75.75,76.0,76.3,76.67,76.9,76.94,77.1,77.36,77.4,77.4 | +| pot | 31.04,31.05,31.19,31.4,31.44,31.45,31.67,31.66,31.69,31.78,31.92 | +| animal | 53.74,53.86,53.83,53.93,53.98,54.0,53.98,54.04,54.06,53.98,53.68 | +| bicycle | 53.45,53.67,53.77,53.78,53.85,53.95,54.24,54.3,54.36,54.57,54.69 | +| lake | 57.41,57.55,57.53,57.57,57.61,57.72,57.8,57.9,57.98,58.03,58.0 | +| dishwasher | 66.36,66.34,66.2,65.85,65.83,66.19,65.97,65.93,66.01,65.94,65.93 | +| screen | 69.47,69.52,69.58,69.26,68.5,68.22,67.93,68.03,68.15,68.11,68.38 | +| blanket | 17.68,17.59,17.92,18.36,18.36,18.52,18.43,18.46,18.51,18.44,18.38 | +| sculpture | 58.05,58.06,57.99,58.03,57.78,57.83,57.92,58.0,57.88,57.75,57.79 | +| hood | 58.14,58.05,58.15,58.19,58.12,58.01,58.08,58.02,58.0,57.85,57.94 | +| sconce | 43.08,42.99,43.11,43.24,43.38,43.44,43.37,43.43,43.52,43.57,43.53 | +| vase | 37.78,37.84,37.87,37.86,37.9,38.07,38.15,38.01,38.01,38.18,38.18 | +| traffic light | 32.65,32.81,32.95,33.13,33.0,33.09,33.22,33.19,33.19,33.38,33.41 | +| tray | 7.07,7.16,7.18,7.16,7.07,6.94,6.98,6.88,6.84,6.83,6.88 | +| ashcan | 38.55,38.6,38.51,38.55,38.52,38.39,38.5,38.42,38.5,38.56,38.77 | +| fan | 57.58,57.6,57.6,57.44,57.39,57.7,57.45,57.63,57.52,57.42,57.37 | +| pier | 46.88,47.1,47.63,48.56,48.89,48.87,48.84,49.97,50.17,50.71,51.29 | +| crt screen | 10.64,10.74,10.74,10.73,10.71,10.63,10.57,10.55,10.5,10.33,10.27 | +| plate | 53.05,53.09,53.23,53.26,53.44,53.57,53.45,53.54,53.73,53.79,53.83 | +| monitor | 18.38,18.27,18.08,17.95,17.78,17.36,17.05,16.83,16.66,16.54,16.35 | +| bulletin board | 35.58,35.54,35.47,35.73,35.86,36.17,36.69,36.64,36.5,36.58,36.66 | +| shower | 1.83,2.02,1.82,1.9,1.86,1.88,1.71,1.66,1.37,1.29,1.11 | +| radiator | 60.31,60.26,60.95,61.13,61.63,62.4,64.23,64.4,64.32,64.42,64.46 | +| glass | 14.03,13.96,13.95,13.93,13.94,13.94,13.88,13.87,13.83,13.85,13.78 | +| clock | 34.68,34.87,35.28,35.08,35.53,35.15,35.18,35.52,35.51,35.33,35.47 | +| flag | 35.77,35.57,35.56,35.34,35.25,35.29,35.06,34.95,34.88,34.95,34.91 | ++---------------------+-------------------------------------------------------------------+ +2023-03-04 07:39:05,810 - mmseg - INFO - Summary: +2023-03-04 07:39:05,811 - mmseg - INFO - ++------------------------------------------------------------------+ +| mIoU 0,10,20,30,40,50,60,70,80,90,99 | ++------------------------------------------------------------------+ +| 48.74,48.79,48.83,48.88,48.92,48.94,48.97,48.99,49.01,49.01,49.0 | ++------------------------------------------------------------------+ +2023-03-04 07:39:05,846 - mmseg - INFO - The previous best checkpoint /mnt/petrelfs/laizeqiang/mmseg-baseline/work_dirs2/ablation_segformer_mit_b2_segformer_head_unet_fc_small_multi_step_ade_single_stage/best_mIoU_iter_80000.pth was removed +2023-03-04 07:39:06,789 - mmseg - INFO - Now best checkpoint is saved as best_mIoU_iter_96000.pth. +2023-03-04 07:39:06,790 - mmseg - INFO - Best mIoU is 0.4900 at 96000 iter. +2023-03-04 07:39:06,790 - mmseg - INFO - Exp name: ablation_segformer_mit_b2_segformer_head_unet_fc_small_multi_step_ade_single_stage.py +2023-03-04 07:39:06,790 - mmseg - INFO - Iter(val) [250] mIoU: [0.4874, 0.4879, 0.4883, 0.4888, 0.4892, 0.4894, 0.4897, 0.4899, 0.4901, 0.4901, 0.49], copy_paste: 48.74,48.79,48.83,48.88,48.92,48.94,48.97,48.99,49.01,49.01,49.0 +2023-03-04 07:39:06,796 - mmseg - INFO - Swap parameters (before train) before iter [96001] +2023-03-04 07:39:16,948 - mmseg - INFO - Iter [96050/160000] lr: 9.375e-06, eta: 4:15:33, time: 13.232, data_time: 13.036, memory: 52540, decode.loss_ce: 0.1834, decode.acc_seg: 92.5765, loss: 0.1834 +2023-03-04 07:39:26,872 - mmseg - INFO - Iter [96100/160000] lr: 9.375e-06, eta: 4:15:20, time: 0.198, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1872, decode.acc_seg: 92.2462, loss: 0.1872 +2023-03-04 07:39:36,628 - mmseg - INFO - Iter [96150/160000] lr: 9.375e-06, eta: 4:15:06, time: 0.195, data_time: 0.006, memory: 52540, decode.loss_ce: 0.1861, decode.acc_seg: 92.2365, loss: 0.1861 +2023-03-04 07:39:46,325 - mmseg - INFO - Iter [96200/160000] lr: 9.375e-06, eta: 4:14:53, time: 0.194, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1820, decode.acc_seg: 92.4077, loss: 0.1820 +2023-03-04 07:39:56,209 - mmseg - INFO - Iter [96250/160000] lr: 9.375e-06, eta: 4:14:39, time: 0.198, data_time: 0.006, memory: 52540, decode.loss_ce: 0.1846, decode.acc_seg: 92.2741, loss: 0.1846 +2023-03-04 07:40:05,831 - mmseg - INFO - Iter [96300/160000] lr: 9.375e-06, eta: 4:14:26, time: 0.192, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1831, decode.acc_seg: 92.3918, loss: 0.1831 +2023-03-04 07:40:15,702 - mmseg - INFO - Iter [96350/160000] lr: 9.375e-06, eta: 4:14:13, time: 0.197, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1917, decode.acc_seg: 92.2179, loss: 0.1917 +2023-03-04 07:40:25,456 - mmseg - INFO - Iter [96400/160000] lr: 9.375e-06, eta: 4:13:59, time: 0.195, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1872, decode.acc_seg: 92.2451, loss: 0.1872 +2023-03-04 07:40:34,990 - mmseg - INFO - Iter [96450/160000] lr: 9.375e-06, eta: 4:13:45, time: 0.191, data_time: 0.006, memory: 52540, decode.loss_ce: 0.1884, decode.acc_seg: 92.2343, loss: 0.1884 +2023-03-04 07:40:44,580 - mmseg - INFO - Iter [96500/160000] lr: 9.375e-06, eta: 4:13:32, time: 0.192, data_time: 0.006, memory: 52540, decode.loss_ce: 0.1913, decode.acc_seg: 92.1477, loss: 0.1913 +2023-03-04 07:40:56,566 - mmseg - INFO - Iter [96550/160000] lr: 9.375e-06, eta: 4:13:20, time: 0.240, data_time: 0.053, memory: 52540, decode.loss_ce: 0.1881, decode.acc_seg: 92.4619, loss: 0.1881 +2023-03-04 07:41:06,532 - mmseg - INFO - Iter [96600/160000] lr: 9.375e-06, eta: 4:13:07, time: 0.199, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1880, decode.acc_seg: 92.3154, loss: 0.1880 +2023-03-04 07:41:16,224 - mmseg - INFO - Iter [96650/160000] lr: 9.375e-06, eta: 4:12:53, time: 0.194, data_time: 0.006, memory: 52540, decode.loss_ce: 0.1865, decode.acc_seg: 92.3419, loss: 0.1865 +2023-03-04 07:41:25,800 - mmseg - INFO - Iter [96700/160000] lr: 9.375e-06, eta: 4:12:40, time: 0.192, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1859, decode.acc_seg: 92.3897, loss: 0.1859 +2023-03-04 07:41:35,495 - mmseg - INFO - Iter [96750/160000] lr: 9.375e-06, eta: 4:12:26, time: 0.194, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1784, decode.acc_seg: 92.6540, loss: 0.1784 +2023-03-04 07:41:45,131 - mmseg - INFO - Iter [96800/160000] lr: 9.375e-06, eta: 4:12:13, time: 0.193, data_time: 0.006, memory: 52540, decode.loss_ce: 0.1846, decode.acc_seg: 92.3175, loss: 0.1846 +2023-03-04 07:41:54,740 - mmseg - INFO - Iter [96850/160000] lr: 9.375e-06, eta: 4:11:59, time: 0.192, data_time: 0.006, memory: 52540, decode.loss_ce: 0.1926, decode.acc_seg: 92.2015, loss: 0.1926 +2023-03-04 07:42:04,529 - mmseg - INFO - Iter [96900/160000] lr: 9.375e-06, eta: 4:11:46, time: 0.196, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1876, decode.acc_seg: 92.4046, loss: 0.1876 +2023-03-04 07:42:14,114 - mmseg - INFO - Iter [96950/160000] lr: 9.375e-06, eta: 4:11:32, time: 0.192, data_time: 0.006, memory: 52540, decode.loss_ce: 0.1907, decode.acc_seg: 92.2772, loss: 0.1907 +2023-03-04 07:42:23,949 - mmseg - INFO - Exp name: ablation_segformer_mit_b2_segformer_head_unet_fc_small_multi_step_ade_single_stage.py +2023-03-04 07:42:23,949 - mmseg - INFO - Iter [97000/160000] lr: 9.375e-06, eta: 4:11:19, time: 0.197, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1960, decode.acc_seg: 92.1058, loss: 0.1960 +2023-03-04 07:42:33,651 - mmseg - INFO - Iter [97050/160000] lr: 9.375e-06, eta: 4:11:05, time: 0.194, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1833, decode.acc_seg: 92.3340, loss: 0.1833 +2023-03-04 07:42:43,214 - mmseg - INFO - Iter [97100/160000] lr: 9.375e-06, eta: 4:10:52, time: 0.191, data_time: 0.006, memory: 52540, decode.loss_ce: 0.1811, decode.acc_seg: 92.5949, loss: 0.1811 +2023-03-04 07:42:53,545 - mmseg - INFO - Iter [97150/160000] lr: 9.375e-06, eta: 4:10:39, time: 0.206, data_time: 0.006, memory: 52540, decode.loss_ce: 0.1807, decode.acc_seg: 92.5665, loss: 0.1807 +2023-03-04 07:43:05,843 - mmseg - INFO - Iter [97200/160000] lr: 9.375e-06, eta: 4:10:27, time: 0.246, data_time: 0.055, memory: 52540, decode.loss_ce: 0.1811, decode.acc_seg: 92.3454, loss: 0.1811 +2023-03-04 07:43:15,483 - mmseg - INFO - Iter [97250/160000] lr: 9.375e-06, eta: 4:10:14, time: 0.193, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1841, decode.acc_seg: 92.4530, loss: 0.1841 +2023-03-04 07:43:25,164 - mmseg - INFO - Iter [97300/160000] lr: 9.375e-06, eta: 4:10:00, time: 0.193, data_time: 0.006, memory: 52540, decode.loss_ce: 0.1890, decode.acc_seg: 92.2588, loss: 0.1890 +2023-03-04 07:43:35,060 - mmseg - INFO - Iter [97350/160000] lr: 9.375e-06, eta: 4:09:47, time: 0.198, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1757, decode.acc_seg: 92.7804, loss: 0.1757 +2023-03-04 07:43:45,372 - mmseg - INFO - Iter [97400/160000] lr: 9.375e-06, eta: 4:09:34, time: 0.206, data_time: 0.008, memory: 52540, decode.loss_ce: 0.1843, decode.acc_seg: 92.4522, loss: 0.1843 +2023-03-04 07:43:55,066 - mmseg - INFO - Iter [97450/160000] lr: 9.375e-06, eta: 4:09:21, time: 0.194, data_time: 0.006, memory: 52540, decode.loss_ce: 0.1820, decode.acc_seg: 92.5405, loss: 0.1820 +2023-03-04 07:44:04,696 - mmseg - INFO - Iter [97500/160000] lr: 9.375e-06, eta: 4:09:07, time: 0.193, data_time: 0.006, memory: 52540, decode.loss_ce: 0.1767, decode.acc_seg: 92.7637, loss: 0.1767 +2023-03-04 07:44:14,349 - mmseg - INFO - Iter [97550/160000] lr: 9.375e-06, eta: 4:08:54, time: 0.193, data_time: 0.006, memory: 52540, decode.loss_ce: 0.1972, decode.acc_seg: 91.9991, loss: 0.1972 +2023-03-04 07:44:23,843 - mmseg - INFO - Iter [97600/160000] lr: 9.375e-06, eta: 4:08:40, time: 0.190, data_time: 0.006, memory: 52540, decode.loss_ce: 0.1872, decode.acc_seg: 92.3296, loss: 0.1872 +2023-03-04 07:44:33,468 - mmseg - INFO - Iter [97650/160000] lr: 9.375e-06, eta: 4:08:27, time: 0.192, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1886, decode.acc_seg: 92.2686, loss: 0.1886 +2023-03-04 07:44:43,027 - mmseg - INFO - Iter [97700/160000] lr: 9.375e-06, eta: 4:08:13, time: 0.191, data_time: 0.006, memory: 52540, decode.loss_ce: 0.1828, decode.acc_seg: 92.4869, loss: 0.1828 +2023-03-04 07:44:52,593 - mmseg - INFO - Iter [97750/160000] lr: 9.375e-06, eta: 4:08:00, time: 0.191, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1891, decode.acc_seg: 92.2800, loss: 0.1891 +2023-03-04 07:45:02,175 - mmseg - INFO - Iter [97800/160000] lr: 9.375e-06, eta: 4:07:46, time: 0.192, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1940, decode.acc_seg: 91.9515, loss: 0.1940 +2023-03-04 07:45:14,814 - mmseg - INFO - Iter [97850/160000] lr: 9.375e-06, eta: 4:07:35, time: 0.253, data_time: 0.056, memory: 52540, decode.loss_ce: 0.1875, decode.acc_seg: 92.3518, loss: 0.1875 +2023-03-04 07:45:24,526 - mmseg - INFO - Iter [97900/160000] lr: 9.375e-06, eta: 4:07:21, time: 0.194, data_time: 0.006, memory: 52540, decode.loss_ce: 0.1848, decode.acc_seg: 92.4604, loss: 0.1848 +2023-03-04 07:45:34,093 - mmseg - INFO - Iter [97950/160000] lr: 9.375e-06, eta: 4:07:08, time: 0.191, data_time: 0.006, memory: 52540, decode.loss_ce: 0.1865, decode.acc_seg: 92.3375, loss: 0.1865 +2023-03-04 07:45:43,787 - mmseg - INFO - Exp name: ablation_segformer_mit_b2_segformer_head_unet_fc_small_multi_step_ade_single_stage.py +2023-03-04 07:45:43,787 - mmseg - INFO - Iter [98000/160000] lr: 9.375e-06, eta: 4:06:55, time: 0.194, data_time: 0.006, memory: 52540, decode.loss_ce: 0.1776, decode.acc_seg: 92.6204, loss: 0.1776 +2023-03-04 07:45:53,429 - mmseg - INFO - Iter [98050/160000] lr: 9.375e-06, eta: 4:06:41, time: 0.193, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1801, decode.acc_seg: 92.5818, loss: 0.1801 +2023-03-04 07:46:02,972 - mmseg - INFO - Iter [98100/160000] lr: 9.375e-06, eta: 4:06:28, time: 0.191, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1859, decode.acc_seg: 92.2902, loss: 0.1859 +2023-03-04 07:46:12,784 - mmseg - INFO - Iter [98150/160000] lr: 9.375e-06, eta: 4:06:14, time: 0.196, data_time: 0.006, memory: 52540, decode.loss_ce: 0.1797, decode.acc_seg: 92.6322, loss: 0.1797 +2023-03-04 07:46:22,753 - mmseg - INFO - Iter [98200/160000] lr: 9.375e-06, eta: 4:06:01, time: 0.199, data_time: 0.006, memory: 52540, decode.loss_ce: 0.1855, decode.acc_seg: 92.3475, loss: 0.1855 +2023-03-04 07:46:32,834 - mmseg - INFO - Iter [98250/160000] lr: 9.375e-06, eta: 4:05:48, time: 0.202, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1963, decode.acc_seg: 92.2220, loss: 0.1963 +2023-03-04 07:46:42,316 - mmseg - INFO - Iter [98300/160000] lr: 9.375e-06, eta: 4:05:35, time: 0.190, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1897, decode.acc_seg: 92.4090, loss: 0.1897 +2023-03-04 07:46:51,906 - mmseg - INFO - Iter [98350/160000] lr: 9.375e-06, eta: 4:05:21, time: 0.192, data_time: 0.006, memory: 52540, decode.loss_ce: 0.1888, decode.acc_seg: 92.2174, loss: 0.1888 +2023-03-04 07:47:01,415 - mmseg - INFO - Iter [98400/160000] lr: 9.375e-06, eta: 4:05:08, time: 0.190, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1999, decode.acc_seg: 91.9005, loss: 0.1999 +2023-03-04 07:47:13,469 - mmseg - INFO - Iter [98450/160000] lr: 9.375e-06, eta: 4:04:56, time: 0.241, data_time: 0.054, memory: 52540, decode.loss_ce: 0.1860, decode.acc_seg: 92.4100, loss: 0.1860 +2023-03-04 07:47:22,943 - mmseg - INFO - Iter [98500/160000] lr: 9.375e-06, eta: 4:04:42, time: 0.189, data_time: 0.006, memory: 52540, decode.loss_ce: 0.1783, decode.acc_seg: 92.6781, loss: 0.1783 +2023-03-04 07:47:32,698 - mmseg - INFO - Iter [98550/160000] lr: 9.375e-06, eta: 4:04:29, time: 0.195, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1821, decode.acc_seg: 92.5424, loss: 0.1821 +2023-03-04 07:47:42,427 - mmseg - INFO - Iter [98600/160000] lr: 9.375e-06, eta: 4:04:16, time: 0.195, data_time: 0.006, memory: 52540, decode.loss_ce: 0.1882, decode.acc_seg: 92.2621, loss: 0.1882 +2023-03-04 07:47:52,072 - mmseg - INFO - Iter [98650/160000] lr: 9.375e-06, eta: 4:04:02, time: 0.193, data_time: 0.006, memory: 52540, decode.loss_ce: 0.1863, decode.acc_seg: 92.3092, loss: 0.1863 +2023-03-04 07:48:01,882 - mmseg - INFO - Iter [98700/160000] lr: 9.375e-06, eta: 4:03:49, time: 0.196, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1817, decode.acc_seg: 92.5184, loss: 0.1817 +2023-03-04 07:48:11,731 - mmseg - INFO - Iter [98750/160000] lr: 9.375e-06, eta: 4:03:36, time: 0.197, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1816, decode.acc_seg: 92.5903, loss: 0.1816 +2023-03-04 07:48:21,681 - mmseg - INFO - Iter [98800/160000] lr: 9.375e-06, eta: 4:03:23, time: 0.199, data_time: 0.006, memory: 52540, decode.loss_ce: 0.1887, decode.acc_seg: 92.1221, loss: 0.1887 +2023-03-04 07:48:31,510 - mmseg - INFO - Iter [98850/160000] lr: 9.375e-06, eta: 4:03:10, time: 0.197, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1874, decode.acc_seg: 92.3485, loss: 0.1874 +2023-03-04 07:48:41,007 - mmseg - INFO - Iter [98900/160000] lr: 9.375e-06, eta: 4:02:56, time: 0.190, data_time: 0.006, memory: 52540, decode.loss_ce: 0.1853, decode.acc_seg: 92.4480, loss: 0.1853 +2023-03-04 07:48:50,608 - mmseg - INFO - Iter [98950/160000] lr: 9.375e-06, eta: 4:02:43, time: 0.192, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1878, decode.acc_seg: 92.4217, loss: 0.1878 +2023-03-04 07:49:00,142 - mmseg - INFO - Exp name: ablation_segformer_mit_b2_segformer_head_unet_fc_small_multi_step_ade_single_stage.py +2023-03-04 07:49:00,142 - mmseg - INFO - Iter [99000/160000] lr: 9.375e-06, eta: 4:02:29, time: 0.190, data_time: 0.006, memory: 52540, decode.loss_ce: 0.1750, decode.acc_seg: 92.8238, loss: 0.1750 +2023-03-04 07:49:09,849 - mmseg - INFO - Iter [99050/160000] lr: 9.375e-06, eta: 4:02:16, time: 0.194, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1824, decode.acc_seg: 92.5227, loss: 0.1824 +2023-03-04 07:49:21,927 - mmseg - INFO - Iter [99100/160000] lr: 9.375e-06, eta: 4:02:04, time: 0.241, data_time: 0.053, memory: 52540, decode.loss_ce: 0.1821, decode.acc_seg: 92.4303, loss: 0.1821 +2023-03-04 07:49:31,539 - mmseg - INFO - Iter [99150/160000] lr: 9.375e-06, eta: 4:01:51, time: 0.192, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1862, decode.acc_seg: 92.3549, loss: 0.1862 +2023-03-04 07:49:41,451 - mmseg - INFO - Iter [99200/160000] lr: 9.375e-06, eta: 4:01:38, time: 0.198, data_time: 0.006, memory: 52540, decode.loss_ce: 0.1928, decode.acc_seg: 92.1313, loss: 0.1928 +2023-03-04 07:49:51,199 - mmseg - INFO - Iter [99250/160000] lr: 9.375e-06, eta: 4:01:24, time: 0.195, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1840, decode.acc_seg: 92.4756, loss: 0.1840 +2023-03-04 07:50:00,779 - mmseg - INFO - Iter [99300/160000] lr: 9.375e-06, eta: 4:01:11, time: 0.192, data_time: 0.006, memory: 52540, decode.loss_ce: 0.1837, decode.acc_seg: 92.3888, loss: 0.1837 +2023-03-04 07:50:10,445 - mmseg - INFO - Iter [99350/160000] lr: 9.375e-06, eta: 4:00:58, time: 0.193, data_time: 0.006, memory: 52540, decode.loss_ce: 0.1838, decode.acc_seg: 92.4836, loss: 0.1838 +2023-03-04 07:50:20,039 - mmseg - INFO - Iter [99400/160000] lr: 9.375e-06, eta: 4:00:44, time: 0.192, data_time: 0.006, memory: 52540, decode.loss_ce: 0.1880, decode.acc_seg: 92.2793, loss: 0.1880 +2023-03-04 07:50:29,743 - mmseg - INFO - Iter [99450/160000] lr: 9.375e-06, eta: 4:00:31, time: 0.194, data_time: 0.006, memory: 52540, decode.loss_ce: 0.1915, decode.acc_seg: 92.1219, loss: 0.1915 +2023-03-04 07:50:39,327 - mmseg - INFO - Iter [99500/160000] lr: 9.375e-06, eta: 4:00:18, time: 0.192, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1899, decode.acc_seg: 92.2917, loss: 0.1899 +2023-03-04 07:50:48,942 - mmseg - INFO - Iter [99550/160000] lr: 9.375e-06, eta: 4:00:05, time: 0.192, data_time: 0.006, memory: 52540, decode.loss_ce: 0.1894, decode.acc_seg: 92.2039, loss: 0.1894 +2023-03-04 07:50:58,676 - mmseg - INFO - Iter [99600/160000] lr: 9.375e-06, eta: 3:59:51, time: 0.195, data_time: 0.006, memory: 52540, decode.loss_ce: 0.1814, decode.acc_seg: 92.5598, loss: 0.1814 +2023-03-04 07:51:08,294 - mmseg - INFO - Iter [99650/160000] lr: 9.375e-06, eta: 3:59:38, time: 0.192, data_time: 0.006, memory: 52540, decode.loss_ce: 0.1821, decode.acc_seg: 92.4652, loss: 0.1821 +2023-03-04 07:51:20,485 - mmseg - INFO - Iter [99700/160000] lr: 9.375e-06, eta: 3:59:26, time: 0.244, data_time: 0.053, memory: 52540, decode.loss_ce: 0.1812, decode.acc_seg: 92.5322, loss: 0.1812 +2023-03-04 07:51:30,051 - mmseg - INFO - Iter [99750/160000] lr: 9.375e-06, eta: 3:59:13, time: 0.191, data_time: 0.006, memory: 52540, decode.loss_ce: 0.1873, decode.acc_seg: 92.3936, loss: 0.1873 +2023-03-04 07:51:40,042 - mmseg - INFO - Iter [99800/160000] lr: 9.375e-06, eta: 3:59:00, time: 0.200, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1898, decode.acc_seg: 92.1646, loss: 0.1898 +2023-03-04 07:51:49,600 - mmseg - INFO - Iter [99850/160000] lr: 9.375e-06, eta: 3:58:47, time: 0.191, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1861, decode.acc_seg: 92.3183, loss: 0.1861 +2023-03-04 07:51:59,029 - mmseg - INFO - Iter [99900/160000] lr: 9.375e-06, eta: 3:58:33, time: 0.189, data_time: 0.006, memory: 52540, decode.loss_ce: 0.1897, decode.acc_seg: 92.2639, loss: 0.1897 +2023-03-04 07:52:08,591 - mmseg - INFO - Iter [99950/160000] lr: 9.375e-06, eta: 3:58:20, time: 0.191, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1831, decode.acc_seg: 92.5535, loss: 0.1831 +2023-03-04 07:52:18,268 - mmseg - INFO - Exp name: ablation_segformer_mit_b2_segformer_head_unet_fc_small_multi_step_ade_single_stage.py +2023-03-04 07:52:18,268 - mmseg - INFO - Iter [100000/160000] lr: 9.375e-06, eta: 3:58:07, time: 0.194, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1873, decode.acc_seg: 92.2433, loss: 0.1873 +2023-03-04 07:52:28,145 - mmseg - INFO - Iter [100050/160000] lr: 4.687e-06, eta: 3:57:53, time: 0.198, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1857, decode.acc_seg: 92.3436, loss: 0.1857 +2023-03-04 07:52:37,880 - mmseg - INFO - Iter [100100/160000] lr: 4.687e-06, eta: 3:57:40, time: 0.194, data_time: 0.006, memory: 52540, decode.loss_ce: 0.1885, decode.acc_seg: 92.3063, loss: 0.1885 +2023-03-04 07:52:47,574 - mmseg - INFO - Iter [100150/160000] lr: 4.687e-06, eta: 3:57:27, time: 0.194, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1852, decode.acc_seg: 92.4372, loss: 0.1852 +2023-03-04 07:52:57,256 - mmseg - INFO - Iter [100200/160000] lr: 4.687e-06, eta: 3:57:14, time: 0.194, data_time: 0.006, memory: 52540, decode.loss_ce: 0.1865, decode.acc_seg: 92.4208, loss: 0.1865 +2023-03-04 07:53:06,837 - mmseg - INFO - Iter [100250/160000] lr: 4.687e-06, eta: 3:57:01, time: 0.192, data_time: 0.006, memory: 52540, decode.loss_ce: 0.1811, decode.acc_seg: 92.5136, loss: 0.1811 +2023-03-04 07:53:16,320 - mmseg - INFO - Iter [100300/160000] lr: 4.687e-06, eta: 3:56:47, time: 0.190, data_time: 0.006, memory: 52540, decode.loss_ce: 0.1951, decode.acc_seg: 92.0008, loss: 0.1951 +2023-03-04 07:53:28,450 - mmseg - INFO - Iter [100350/160000] lr: 4.687e-06, eta: 3:56:35, time: 0.243, data_time: 0.057, memory: 52540, decode.loss_ce: 0.1848, decode.acc_seg: 92.5729, loss: 0.1848 +2023-03-04 07:53:37,893 - mmseg - INFO - Iter [100400/160000] lr: 4.687e-06, eta: 3:56:22, time: 0.189, data_time: 0.006, memory: 52540, decode.loss_ce: 0.1849, decode.acc_seg: 92.3429, loss: 0.1849 +2023-03-04 07:53:47,393 - mmseg - INFO - Iter [100450/160000] lr: 4.687e-06, eta: 3:56:09, time: 0.190, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1779, decode.acc_seg: 92.6031, loss: 0.1779 +2023-03-04 07:53:56,862 - mmseg - INFO - Iter [100500/160000] lr: 4.687e-06, eta: 3:55:55, time: 0.189, data_time: 0.006, memory: 52540, decode.loss_ce: 0.1858, decode.acc_seg: 92.3309, loss: 0.1858 +2023-03-04 07:54:06,357 - mmseg - INFO - Iter [100550/160000] lr: 4.687e-06, eta: 3:55:42, time: 0.190, data_time: 0.006, memory: 52540, decode.loss_ce: 0.1784, decode.acc_seg: 92.6282, loss: 0.1784 +2023-03-04 07:54:16,283 - mmseg - INFO - Iter [100600/160000] lr: 4.687e-06, eta: 3:55:29, time: 0.199, data_time: 0.006, memory: 52540, decode.loss_ce: 0.1835, decode.acc_seg: 92.4151, loss: 0.1835 +2023-03-04 07:54:25,707 - mmseg - INFO - Iter [100650/160000] lr: 4.687e-06, eta: 3:55:16, time: 0.188, data_time: 0.006, memory: 52540, decode.loss_ce: 0.1802, decode.acc_seg: 92.4947, loss: 0.1802 +2023-03-04 07:54:35,710 - mmseg - INFO - Iter [100700/160000] lr: 4.687e-06, eta: 3:55:03, time: 0.200, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1869, decode.acc_seg: 92.3565, loss: 0.1869 +2023-03-04 07:54:45,488 - mmseg - INFO - Iter [100750/160000] lr: 4.687e-06, eta: 3:54:50, time: 0.196, data_time: 0.006, memory: 52540, decode.loss_ce: 0.1839, decode.acc_seg: 92.6647, loss: 0.1839 +2023-03-04 07:54:55,134 - mmseg - INFO - Iter [100800/160000] lr: 4.687e-06, eta: 3:54:36, time: 0.193, data_time: 0.006, memory: 52540, decode.loss_ce: 0.1959, decode.acc_seg: 92.1613, loss: 0.1959 +2023-03-04 07:55:04,794 - mmseg - INFO - Iter [100850/160000] lr: 4.687e-06, eta: 3:54:23, time: 0.193, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1914, decode.acc_seg: 92.1551, loss: 0.1914 +2023-03-04 07:55:14,414 - mmseg - INFO - Iter [100900/160000] lr: 4.687e-06, eta: 3:54:10, time: 0.192, data_time: 0.006, memory: 52540, decode.loss_ce: 0.1821, decode.acc_seg: 92.6547, loss: 0.1821 +2023-03-04 07:55:24,709 - mmseg - INFO - Iter [100950/160000] lr: 4.687e-06, eta: 3:53:57, time: 0.206, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1818, decode.acc_seg: 92.4864, loss: 0.1818 +2023-03-04 07:55:37,142 - mmseg - INFO - Exp name: ablation_segformer_mit_b2_segformer_head_unet_fc_small_multi_step_ade_single_stage.py +2023-03-04 07:55:37,142 - mmseg - INFO - Iter [101000/160000] lr: 4.687e-06, eta: 3:53:46, time: 0.249, data_time: 0.054, memory: 52540, decode.loss_ce: 0.1794, decode.acc_seg: 92.4950, loss: 0.1794 +2023-03-04 07:55:46,989 - mmseg - INFO - Iter [101050/160000] lr: 4.687e-06, eta: 3:53:32, time: 0.197, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1776, decode.acc_seg: 92.6256, loss: 0.1776 +2023-03-04 07:55:56,770 - mmseg - INFO - Iter [101100/160000] lr: 4.687e-06, eta: 3:53:19, time: 0.196, data_time: 0.006, memory: 52540, decode.loss_ce: 0.1807, decode.acc_seg: 92.5081, loss: 0.1807 +2023-03-04 07:56:06,466 - mmseg - INFO - Iter [101150/160000] lr: 4.687e-06, eta: 3:53:06, time: 0.194, data_time: 0.006, memory: 52540, decode.loss_ce: 0.1818, decode.acc_seg: 92.5461, loss: 0.1818 +2023-03-04 07:56:16,610 - mmseg - INFO - Iter [101200/160000] lr: 4.687e-06, eta: 3:52:53, time: 0.203, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1790, decode.acc_seg: 92.6222, loss: 0.1790 +2023-03-04 07:56:26,257 - mmseg - INFO - Iter [101250/160000] lr: 4.687e-06, eta: 3:52:40, time: 0.193, data_time: 0.006, memory: 52540, decode.loss_ce: 0.1900, decode.acc_seg: 92.1204, loss: 0.1900 +2023-03-04 07:56:36,142 - mmseg - INFO - Iter [101300/160000] lr: 4.687e-06, eta: 3:52:27, time: 0.198, data_time: 0.006, memory: 52540, decode.loss_ce: 0.1849, decode.acc_seg: 92.4587, loss: 0.1849 +2023-03-04 07:56:46,170 - mmseg - INFO - Iter [101350/160000] lr: 4.687e-06, eta: 3:52:14, time: 0.201, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1883, decode.acc_seg: 92.2533, loss: 0.1883 +2023-03-04 07:56:56,203 - mmseg - INFO - Iter [101400/160000] lr: 4.687e-06, eta: 3:52:01, time: 0.201, data_time: 0.006, memory: 52540, decode.loss_ce: 0.1914, decode.acc_seg: 92.1342, loss: 0.1914 +2023-03-04 07:57:05,765 - mmseg - INFO - Iter [101450/160000] lr: 4.687e-06, eta: 3:51:48, time: 0.191, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1866, decode.acc_seg: 92.3797, loss: 0.1866 +2023-03-04 07:57:15,374 - mmseg - INFO - Iter [101500/160000] lr: 4.687e-06, eta: 3:51:35, time: 0.192, data_time: 0.006, memory: 52540, decode.loss_ce: 0.1872, decode.acc_seg: 92.2473, loss: 0.1872 +2023-03-04 07:57:24,984 - mmseg - INFO - Iter [101550/160000] lr: 4.687e-06, eta: 3:51:22, time: 0.192, data_time: 0.006, memory: 52540, decode.loss_ce: 0.1865, decode.acc_seg: 92.2805, loss: 0.1865 +2023-03-04 07:57:37,154 - mmseg - INFO - Iter [101600/160000] lr: 4.687e-06, eta: 3:51:10, time: 0.243, data_time: 0.054, memory: 52540, decode.loss_ce: 0.1852, decode.acc_seg: 92.3392, loss: 0.1852 +2023-03-04 07:57:47,018 - mmseg - INFO - Iter [101650/160000] lr: 4.687e-06, eta: 3:50:57, time: 0.197, data_time: 0.006, memory: 52540, decode.loss_ce: 0.1914, decode.acc_seg: 92.1357, loss: 0.1914 +2023-03-04 07:57:56,593 - mmseg - INFO - Iter [101700/160000] lr: 4.687e-06, eta: 3:50:44, time: 0.191, data_time: 0.006, memory: 52540, decode.loss_ce: 0.1908, decode.acc_seg: 92.3041, loss: 0.1908 +2023-03-04 07:58:06,374 - mmseg - INFO - Iter [101750/160000] lr: 4.687e-06, eta: 3:50:31, time: 0.196, data_time: 0.006, memory: 52540, decode.loss_ce: 0.1846, decode.acc_seg: 92.4050, loss: 0.1846 +2023-03-04 07:58:16,039 - mmseg - INFO - Iter [101800/160000] lr: 4.687e-06, eta: 3:50:17, time: 0.193, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1935, decode.acc_seg: 92.0555, loss: 0.1935 +2023-03-04 07:58:25,584 - mmseg - INFO - Iter [101850/160000] lr: 4.687e-06, eta: 3:50:04, time: 0.191, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1854, decode.acc_seg: 92.4178, loss: 0.1854 +2023-03-04 07:58:35,269 - mmseg - INFO - Iter [101900/160000] lr: 4.687e-06, eta: 3:49:51, time: 0.193, data_time: 0.006, memory: 52540, decode.loss_ce: 0.1893, decode.acc_seg: 92.3134, loss: 0.1893 +2023-03-04 07:58:45,110 - mmseg - INFO - Iter [101950/160000] lr: 4.687e-06, eta: 3:49:38, time: 0.197, data_time: 0.006, memory: 52540, decode.loss_ce: 0.1807, decode.acc_seg: 92.5725, loss: 0.1807 +2023-03-04 07:58:55,089 - mmseg - INFO - Exp name: ablation_segformer_mit_b2_segformer_head_unet_fc_small_multi_step_ade_single_stage.py +2023-03-04 07:58:55,089 - mmseg - INFO - Iter [102000/160000] lr: 4.687e-06, eta: 3:49:25, time: 0.200, data_time: 0.006, memory: 52540, decode.loss_ce: 0.1714, decode.acc_seg: 92.9107, loss: 0.1714 +2023-03-04 07:59:04,865 - mmseg - INFO - Iter [102050/160000] lr: 4.687e-06, eta: 3:49:12, time: 0.196, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1823, decode.acc_seg: 92.4017, loss: 0.1823 +2023-03-04 07:59:14,450 - mmseg - INFO - Iter [102100/160000] lr: 4.687e-06, eta: 3:48:59, time: 0.192, data_time: 0.006, memory: 52540, decode.loss_ce: 0.1839, decode.acc_seg: 92.4626, loss: 0.1839 +2023-03-04 07:59:24,011 - mmseg - INFO - Iter [102150/160000] lr: 4.687e-06, eta: 3:48:46, time: 0.191, data_time: 0.006, memory: 52540, decode.loss_ce: 0.1815, decode.acc_seg: 92.4492, loss: 0.1815 +2023-03-04 07:59:33,718 - mmseg - INFO - Iter [102200/160000] lr: 4.687e-06, eta: 3:48:33, time: 0.194, data_time: 0.006, memory: 52540, decode.loss_ce: 0.1873, decode.acc_seg: 92.3147, loss: 0.1873 +2023-03-04 07:59:46,029 - mmseg - INFO - Iter [102250/160000] lr: 4.687e-06, eta: 3:48:21, time: 0.246, data_time: 0.054, memory: 52540, decode.loss_ce: 0.1776, decode.acc_seg: 92.7315, loss: 0.1776 +2023-03-04 07:59:55,639 - mmseg - INFO - Iter [102300/160000] lr: 4.687e-06, eta: 3:48:08, time: 0.192, data_time: 0.006, memory: 52540, decode.loss_ce: 0.1795, decode.acc_seg: 92.6146, loss: 0.1795 +2023-03-04 08:00:05,193 - mmseg - INFO - Iter [102350/160000] lr: 4.687e-06, eta: 3:47:55, time: 0.191, data_time: 0.007, memory: 52540, decode.loss_ce: 0.2009, decode.acc_seg: 91.8897, loss: 0.2009 +2023-03-04 08:00:14,741 - mmseg - INFO - Iter [102400/160000] lr: 4.687e-06, eta: 3:47:42, time: 0.191, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1858, decode.acc_seg: 92.3730, loss: 0.1858 +2023-03-04 08:00:24,764 - mmseg - INFO - Iter [102450/160000] lr: 4.687e-06, eta: 3:47:29, time: 0.200, data_time: 0.006, memory: 52540, decode.loss_ce: 0.1832, decode.acc_seg: 92.4666, loss: 0.1832 +2023-03-04 08:00:34,653 - mmseg - INFO - Iter [102500/160000] lr: 4.687e-06, eta: 3:47:16, time: 0.198, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1778, decode.acc_seg: 92.6383, loss: 0.1778 +2023-03-04 08:00:44,431 - mmseg - INFO - Iter [102550/160000] lr: 4.687e-06, eta: 3:47:03, time: 0.196, data_time: 0.006, memory: 52540, decode.loss_ce: 0.1873, decode.acc_seg: 92.3570, loss: 0.1873 +2023-03-04 08:00:54,244 - mmseg - INFO - Iter [102600/160000] lr: 4.687e-06, eta: 3:46:50, time: 0.196, data_time: 0.006, memory: 52540, decode.loss_ce: 0.1827, decode.acc_seg: 92.3912, loss: 0.1827 +2023-03-04 08:01:03,867 - mmseg - INFO - Iter [102650/160000] lr: 4.687e-06, eta: 3:46:37, time: 0.192, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1883, decode.acc_seg: 92.2522, loss: 0.1883 +2023-03-04 08:01:13,462 - mmseg - INFO - Iter [102700/160000] lr: 4.687e-06, eta: 3:46:24, time: 0.192, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1882, decode.acc_seg: 92.0825, loss: 0.1882 +2023-03-04 08:01:23,461 - mmseg - INFO - Iter [102750/160000] lr: 4.687e-06, eta: 3:46:11, time: 0.200, data_time: 0.006, memory: 52540, decode.loss_ce: 0.1825, decode.acc_seg: 92.3438, loss: 0.1825 +2023-03-04 08:01:32,945 - mmseg - INFO - Iter [102800/160000] lr: 4.687e-06, eta: 3:45:57, time: 0.190, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1922, decode.acc_seg: 92.1693, loss: 0.1922 +2023-03-04 08:01:42,628 - mmseg - INFO - Iter [102850/160000] lr: 4.687e-06, eta: 3:45:44, time: 0.194, data_time: 0.006, memory: 52540, decode.loss_ce: 0.1850, decode.acc_seg: 92.2936, loss: 0.1850 +2023-03-04 08:01:55,164 - mmseg - INFO - Iter [102900/160000] lr: 4.687e-06, eta: 3:45:33, time: 0.251, data_time: 0.054, memory: 52540, decode.loss_ce: 0.1785, decode.acc_seg: 92.6134, loss: 0.1785 +2023-03-04 08:02:04,872 - mmseg - INFO - Iter [102950/160000] lr: 4.687e-06, eta: 3:45:20, time: 0.194, data_time: 0.006, memory: 52540, decode.loss_ce: 0.1923, decode.acc_seg: 92.1048, loss: 0.1923 +2023-03-04 08:02:14,628 - mmseg - INFO - Exp name: ablation_segformer_mit_b2_segformer_head_unet_fc_small_multi_step_ade_single_stage.py +2023-03-04 08:02:14,628 - mmseg - INFO - Iter [103000/160000] lr: 4.687e-06, eta: 3:45:07, time: 0.195, data_time: 0.006, memory: 52540, decode.loss_ce: 0.1886, decode.acc_seg: 92.2455, loss: 0.1886 +2023-03-04 08:02:24,296 - mmseg - INFO - Iter [103050/160000] lr: 4.687e-06, eta: 3:44:54, time: 0.193, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1893, decode.acc_seg: 92.1849, loss: 0.1893 +2023-03-04 08:02:34,088 - mmseg - INFO - Iter [103100/160000] lr: 4.687e-06, eta: 3:44:41, time: 0.196, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1809, decode.acc_seg: 92.5140, loss: 0.1809 +2023-03-04 08:02:43,787 - mmseg - INFO - Iter [103150/160000] lr: 4.687e-06, eta: 3:44:28, time: 0.194, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1809, decode.acc_seg: 92.4630, loss: 0.1809 +2023-03-04 08:02:53,558 - mmseg - INFO - Iter [103200/160000] lr: 4.687e-06, eta: 3:44:15, time: 0.195, data_time: 0.006, memory: 52540, decode.loss_ce: 0.1818, decode.acc_seg: 92.5256, loss: 0.1818 +2023-03-04 08:03:03,243 - mmseg - INFO - Iter [103250/160000] lr: 4.687e-06, eta: 3:44:02, time: 0.193, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1871, decode.acc_seg: 92.3405, loss: 0.1871 +2023-03-04 08:03:12,933 - mmseg - INFO - Iter [103300/160000] lr: 4.687e-06, eta: 3:43:49, time: 0.194, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1913, decode.acc_seg: 92.1512, loss: 0.1913 +2023-03-04 08:03:22,554 - mmseg - INFO - Iter [103350/160000] lr: 4.687e-06, eta: 3:43:36, time: 0.192, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1768, decode.acc_seg: 92.7155, loss: 0.1768 +2023-03-04 08:03:32,026 - mmseg - INFO - Iter [103400/160000] lr: 4.687e-06, eta: 3:43:23, time: 0.189, data_time: 0.006, memory: 52540, decode.loss_ce: 0.1820, decode.acc_seg: 92.5243, loss: 0.1820 +2023-03-04 08:03:41,541 - mmseg - INFO - Iter [103450/160000] lr: 4.687e-06, eta: 3:43:09, time: 0.190, data_time: 0.006, memory: 52540, decode.loss_ce: 0.1866, decode.acc_seg: 92.4592, loss: 0.1866 +2023-03-04 08:03:53,954 - mmseg - INFO - Iter [103500/160000] lr: 4.687e-06, eta: 3:42:58, time: 0.248, data_time: 0.055, memory: 52540, decode.loss_ce: 0.1855, decode.acc_seg: 92.4366, loss: 0.1855 +2023-03-04 08:04:04,014 - mmseg - INFO - Iter [103550/160000] lr: 4.687e-06, eta: 3:42:45, time: 0.201, data_time: 0.006, memory: 52540, decode.loss_ce: 0.1783, decode.acc_seg: 92.6638, loss: 0.1783 +2023-03-04 08:04:13,656 - mmseg - INFO - Iter [103600/160000] lr: 4.687e-06, eta: 3:42:32, time: 0.193, data_time: 0.006, memory: 52540, decode.loss_ce: 0.1846, decode.acc_seg: 92.3631, loss: 0.1846 +2023-03-04 08:04:23,264 - mmseg - INFO - Iter [103650/160000] lr: 4.687e-06, eta: 3:42:19, time: 0.192, data_time: 0.006, memory: 52540, decode.loss_ce: 0.1867, decode.acc_seg: 92.3321, loss: 0.1867 +2023-03-04 08:04:33,274 - mmseg - INFO - Iter [103700/160000] lr: 4.687e-06, eta: 3:42:06, time: 0.200, data_time: 0.006, memory: 52540, decode.loss_ce: 0.1829, decode.acc_seg: 92.4596, loss: 0.1829 +2023-03-04 08:04:42,706 - mmseg - INFO - Iter [103750/160000] lr: 4.687e-06, eta: 3:41:53, time: 0.189, data_time: 0.006, memory: 52540, decode.loss_ce: 0.1858, decode.acc_seg: 92.3379, loss: 0.1858 +2023-03-04 08:04:52,276 - mmseg - INFO - Iter [103800/160000] lr: 4.687e-06, eta: 3:41:40, time: 0.191, data_time: 0.006, memory: 52540, decode.loss_ce: 0.1819, decode.acc_seg: 92.5758, loss: 0.1819 +2023-03-04 08:05:01,940 - mmseg - INFO - Iter [103850/160000] lr: 4.687e-06, eta: 3:41:27, time: 0.193, data_time: 0.006, memory: 52540, decode.loss_ce: 0.1827, decode.acc_seg: 92.4722, loss: 0.1827 +2023-03-04 08:05:11,711 - mmseg - INFO - Iter [103900/160000] lr: 4.687e-06, eta: 3:41:14, time: 0.195, data_time: 0.006, memory: 52540, decode.loss_ce: 0.1887, decode.acc_seg: 92.2016, loss: 0.1887 +2023-03-04 08:05:21,303 - mmseg - INFO - Iter [103950/160000] lr: 4.687e-06, eta: 3:41:01, time: 0.192, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1910, decode.acc_seg: 92.1168, loss: 0.1910 +2023-03-04 08:05:30,977 - mmseg - INFO - Exp name: ablation_segformer_mit_b2_segformer_head_unet_fc_small_multi_step_ade_single_stage.py +2023-03-04 08:05:30,977 - mmseg - INFO - Iter [104000/160000] lr: 4.687e-06, eta: 3:40:48, time: 0.193, data_time: 0.006, memory: 52540, decode.loss_ce: 0.1890, decode.acc_seg: 92.1944, loss: 0.1890 +2023-03-04 08:05:40,759 - mmseg - INFO - Iter [104050/160000] lr: 4.687e-06, eta: 3:40:35, time: 0.196, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1900, decode.acc_seg: 92.2442, loss: 0.1900 +2023-03-04 08:05:50,362 - mmseg - INFO - Iter [104100/160000] lr: 4.687e-06, eta: 3:40:22, time: 0.192, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1860, decode.acc_seg: 92.3616, loss: 0.1860 +2023-03-04 08:06:02,402 - mmseg - INFO - Iter [104150/160000] lr: 4.687e-06, eta: 3:40:10, time: 0.241, data_time: 0.054, memory: 52540, decode.loss_ce: 0.1798, decode.acc_seg: 92.4798, loss: 0.1798 +2023-03-04 08:06:12,052 - mmseg - INFO - Iter [104200/160000] lr: 4.687e-06, eta: 3:39:57, time: 0.193, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1886, decode.acc_seg: 92.2538, loss: 0.1886 +2023-03-04 08:06:21,817 - mmseg - INFO - Iter [104250/160000] lr: 4.687e-06, eta: 3:39:44, time: 0.195, data_time: 0.006, memory: 52540, decode.loss_ce: 0.1827, decode.acc_seg: 92.3856, loss: 0.1827 +2023-03-04 08:06:31,306 - mmseg - INFO - Iter [104300/160000] lr: 4.687e-06, eta: 3:39:31, time: 0.190, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1850, decode.acc_seg: 92.5140, loss: 0.1850 +2023-03-04 08:06:40,803 - mmseg - INFO - Iter [104350/160000] lr: 4.687e-06, eta: 3:39:18, time: 0.190, data_time: 0.006, memory: 52540, decode.loss_ce: 0.1916, decode.acc_seg: 92.2572, loss: 0.1916 +2023-03-04 08:06:50,541 - mmseg - INFO - Iter [104400/160000] lr: 4.687e-06, eta: 3:39:05, time: 0.195, data_time: 0.006, memory: 52540, decode.loss_ce: 0.1870, decode.acc_seg: 92.3608, loss: 0.1870 +2023-03-04 08:07:00,180 - mmseg - INFO - Iter [104450/160000] lr: 4.687e-06, eta: 3:38:52, time: 0.193, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1863, decode.acc_seg: 92.3824, loss: 0.1863 +2023-03-04 08:07:09,743 - mmseg - INFO - Iter [104500/160000] lr: 4.687e-06, eta: 3:38:39, time: 0.191, data_time: 0.006, memory: 52540, decode.loss_ce: 0.1845, decode.acc_seg: 92.3575, loss: 0.1845 +2023-03-04 08:07:19,458 - mmseg - INFO - Iter [104550/160000] lr: 4.687e-06, eta: 3:38:26, time: 0.194, data_time: 0.006, memory: 52540, decode.loss_ce: 0.1872, decode.acc_seg: 92.3950, loss: 0.1872 +2023-03-04 08:07:29,306 - mmseg - INFO - Iter [104600/160000] lr: 4.687e-06, eta: 3:38:14, time: 0.197, data_time: 0.006, memory: 52540, decode.loss_ce: 0.1881, decode.acc_seg: 92.3656, loss: 0.1881 +2023-03-04 08:07:39,211 - mmseg - INFO - Iter [104650/160000] lr: 4.687e-06, eta: 3:38:01, time: 0.198, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1887, decode.acc_seg: 92.3248, loss: 0.1887 +2023-03-04 08:07:48,857 - mmseg - INFO - Iter [104700/160000] lr: 4.687e-06, eta: 3:37:48, time: 0.193, data_time: 0.006, memory: 52540, decode.loss_ce: 0.1841, decode.acc_seg: 92.5203, loss: 0.1841 +2023-03-04 08:08:01,199 - mmseg - INFO - Iter [104750/160000] lr: 4.687e-06, eta: 3:37:36, time: 0.247, data_time: 0.056, memory: 52540, decode.loss_ce: 0.1833, decode.acc_seg: 92.3305, loss: 0.1833 +2023-03-04 08:08:10,885 - mmseg - INFO - Iter [104800/160000] lr: 4.687e-06, eta: 3:37:23, time: 0.194, data_time: 0.006, memory: 52540, decode.loss_ce: 0.1914, decode.acc_seg: 92.2190, loss: 0.1914 +2023-03-04 08:08:20,468 - mmseg - INFO - Iter [104850/160000] lr: 4.687e-06, eta: 3:37:10, time: 0.191, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1847, decode.acc_seg: 92.3943, loss: 0.1847 +2023-03-04 08:08:30,210 - mmseg - INFO - Iter [104900/160000] lr: 4.687e-06, eta: 3:36:57, time: 0.195, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1857, decode.acc_seg: 92.3580, loss: 0.1857 +2023-03-04 08:08:39,735 - mmseg - INFO - Iter [104950/160000] lr: 4.687e-06, eta: 3:36:44, time: 0.191, data_time: 0.006, memory: 52540, decode.loss_ce: 0.1850, decode.acc_seg: 92.4239, loss: 0.1850 +2023-03-04 08:08:49,367 - mmseg - INFO - Exp name: ablation_segformer_mit_b2_segformer_head_unet_fc_small_multi_step_ade_single_stage.py +2023-03-04 08:08:49,367 - mmseg - INFO - Iter [105000/160000] lr: 4.687e-06, eta: 3:36:31, time: 0.193, data_time: 0.006, memory: 52540, decode.loss_ce: 0.1895, decode.acc_seg: 92.2203, loss: 0.1895 +2023-03-04 08:08:59,235 - mmseg - INFO - Iter [105050/160000] lr: 4.687e-06, eta: 3:36:19, time: 0.197, data_time: 0.006, memory: 52540, decode.loss_ce: 0.1779, decode.acc_seg: 92.6062, loss: 0.1779 +2023-03-04 08:09:09,118 - mmseg - INFO - Iter [105100/160000] lr: 4.687e-06, eta: 3:36:06, time: 0.198, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1937, decode.acc_seg: 92.2224, loss: 0.1937 +2023-03-04 08:09:18,889 - mmseg - INFO - Iter [105150/160000] lr: 4.687e-06, eta: 3:35:53, time: 0.195, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1882, decode.acc_seg: 92.2605, loss: 0.1882 +2023-03-04 08:09:28,485 - mmseg - INFO - Iter [105200/160000] lr: 4.687e-06, eta: 3:35:40, time: 0.192, data_time: 0.006, memory: 52540, decode.loss_ce: 0.1886, decode.acc_seg: 92.3255, loss: 0.1886 +2023-03-04 08:09:38,153 - mmseg - INFO - Iter [105250/160000] lr: 4.687e-06, eta: 3:35:27, time: 0.193, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1831, decode.acc_seg: 92.4490, loss: 0.1831 +2023-03-04 08:09:48,048 - mmseg - INFO - Iter [105300/160000] lr: 4.687e-06, eta: 3:35:14, time: 0.198, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1859, decode.acc_seg: 92.4490, loss: 0.1859 +2023-03-04 08:09:57,756 - mmseg - INFO - Iter [105350/160000] lr: 4.687e-06, eta: 3:35:01, time: 0.194, data_time: 0.006, memory: 52540, decode.loss_ce: 0.1900, decode.acc_seg: 92.1877, loss: 0.1900 +2023-03-04 08:10:09,869 - mmseg - INFO - Iter [105400/160000] lr: 4.687e-06, eta: 3:34:50, time: 0.242, data_time: 0.056, memory: 52540, decode.loss_ce: 0.1899, decode.acc_seg: 92.2113, loss: 0.1899 +2023-03-04 08:10:19,490 - mmseg - INFO - Iter [105450/160000] lr: 4.687e-06, eta: 3:34:37, time: 0.192, data_time: 0.006, memory: 52540, decode.loss_ce: 0.1791, decode.acc_seg: 92.7413, loss: 0.1791 +2023-03-04 08:10:29,169 - mmseg - INFO - Iter [105500/160000] lr: 4.687e-06, eta: 3:34:24, time: 0.194, data_time: 0.006, memory: 52540, decode.loss_ce: 0.1914, decode.acc_seg: 92.0493, loss: 0.1914 +2023-03-04 08:10:38,684 - mmseg - INFO - Iter [105550/160000] lr: 4.687e-06, eta: 3:34:11, time: 0.190, data_time: 0.006, memory: 52540, decode.loss_ce: 0.1841, decode.acc_seg: 92.3901, loss: 0.1841 +2023-03-04 08:10:48,214 - mmseg - INFO - Iter [105600/160000] lr: 4.687e-06, eta: 3:33:58, time: 0.191, data_time: 0.006, memory: 52540, decode.loss_ce: 0.1889, decode.acc_seg: 92.2531, loss: 0.1889 +2023-03-04 08:10:57,707 - mmseg - INFO - Iter [105650/160000] lr: 4.687e-06, eta: 3:33:45, time: 0.190, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1762, decode.acc_seg: 92.6487, loss: 0.1762 +2023-03-04 08:11:07,535 - mmseg - INFO - Iter [105700/160000] lr: 4.687e-06, eta: 3:33:32, time: 0.197, data_time: 0.006, memory: 52540, decode.loss_ce: 0.1940, decode.acc_seg: 92.1290, loss: 0.1940 +2023-03-04 08:11:16,989 - mmseg - INFO - Iter [105750/160000] lr: 4.687e-06, eta: 3:33:19, time: 0.189, data_time: 0.006, memory: 52540, decode.loss_ce: 0.1897, decode.acc_seg: 92.2700, loss: 0.1897 +2023-03-04 08:11:26,582 - mmseg - INFO - Iter [105800/160000] lr: 4.687e-06, eta: 3:33:06, time: 0.192, data_time: 0.006, memory: 52540, decode.loss_ce: 0.1881, decode.acc_seg: 92.3058, loss: 0.1881 +2023-03-04 08:11:36,094 - mmseg - INFO - Iter [105850/160000] lr: 4.687e-06, eta: 3:32:53, time: 0.190, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1891, decode.acc_seg: 92.2914, loss: 0.1891 +2023-03-04 08:11:45,890 - mmseg - INFO - Iter [105900/160000] lr: 4.687e-06, eta: 3:32:40, time: 0.196, data_time: 0.006, memory: 52540, decode.loss_ce: 0.1913, decode.acc_seg: 92.2284, loss: 0.1913 +2023-03-04 08:11:55,375 - mmseg - INFO - Iter [105950/160000] lr: 4.687e-06, eta: 3:32:27, time: 0.190, data_time: 0.006, memory: 52540, decode.loss_ce: 0.1839, decode.acc_seg: 92.4780, loss: 0.1839 +2023-03-04 08:12:05,234 - mmseg - INFO - Exp name: ablation_segformer_mit_b2_segformer_head_unet_fc_small_multi_step_ade_single_stage.py +2023-03-04 08:12:05,234 - mmseg - INFO - Iter [106000/160000] lr: 4.687e-06, eta: 3:32:15, time: 0.197, data_time: 0.006, memory: 52540, decode.loss_ce: 0.1851, decode.acc_seg: 92.2936, loss: 0.1851 +2023-03-04 08:12:17,555 - mmseg - INFO - Iter [106050/160000] lr: 4.687e-06, eta: 3:32:03, time: 0.246, data_time: 0.055, memory: 52540, decode.loss_ce: 0.1877, decode.acc_seg: 92.2284, loss: 0.1877 +2023-03-04 08:12:27,410 - mmseg - INFO - Iter [106100/160000] lr: 4.687e-06, eta: 3:31:50, time: 0.197, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1888, decode.acc_seg: 92.3035, loss: 0.1888 +2023-03-04 08:12:37,056 - mmseg - INFO - Iter [106150/160000] lr: 4.687e-06, eta: 3:31:38, time: 0.193, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1931, decode.acc_seg: 92.2699, loss: 0.1931 +2023-03-04 08:12:46,610 - mmseg - INFO - Iter [106200/160000] lr: 4.687e-06, eta: 3:31:25, time: 0.191, data_time: 0.006, memory: 52540, decode.loss_ce: 0.1757, decode.acc_seg: 92.7519, loss: 0.1757 +2023-03-04 08:12:56,119 - mmseg - INFO - Iter [106250/160000] lr: 4.687e-06, eta: 3:31:12, time: 0.190, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1768, decode.acc_seg: 92.6072, loss: 0.1768 +2023-03-04 08:13:05,709 - mmseg - INFO - Iter [106300/160000] lr: 4.687e-06, eta: 3:30:59, time: 0.192, data_time: 0.006, memory: 52540, decode.loss_ce: 0.1818, decode.acc_seg: 92.5282, loss: 0.1818 +2023-03-04 08:13:15,453 - mmseg - INFO - Iter [106350/160000] lr: 4.687e-06, eta: 3:30:46, time: 0.195, data_time: 0.006, memory: 52540, decode.loss_ce: 0.1881, decode.acc_seg: 92.2308, loss: 0.1881 +2023-03-04 08:13:25,240 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- mmseg - INFO - Iter [106650/160000] lr: 4.687e-06, eta: 3:29:31, time: 0.247, data_time: 0.056, memory: 52540, decode.loss_ce: 0.1811, decode.acc_seg: 92.6207, loss: 0.1811 +2023-03-04 08:14:26,539 - mmseg - INFO - Iter [106700/160000] lr: 4.687e-06, eta: 3:29:18, time: 0.192, data_time: 0.006, memory: 52540, decode.loss_ce: 0.1877, decode.acc_seg: 92.3410, loss: 0.1877 +2023-03-04 08:14:36,111 - mmseg - INFO - Iter [106750/160000] lr: 4.687e-06, eta: 3:29:05, time: 0.191, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1904, decode.acc_seg: 92.2333, loss: 0.1904 +2023-03-04 08:14:45,745 - mmseg - INFO - Iter [106800/160000] lr: 4.687e-06, eta: 3:28:52, time: 0.193, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1876, decode.acc_seg: 92.3177, loss: 0.1876 +2023-03-04 08:14:55,232 - mmseg - INFO - Iter [106850/160000] lr: 4.687e-06, eta: 3:28:39, time: 0.190, data_time: 0.006, memory: 52540, decode.loss_ce: 0.1901, decode.acc_seg: 92.2635, loss: 0.1901 +2023-03-04 08:15:04,834 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3:27:35, time: 0.189, data_time: 0.006, memory: 52540, decode.loss_ce: 0.1786, decode.acc_seg: 92.5844, loss: 0.1786 +2023-03-04 08:15:52,680 - mmseg - INFO - Iter [107150/160000] lr: 4.687e-06, eta: 3:27:22, time: 0.194, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1805, decode.acc_seg: 92.5947, loss: 0.1805 +2023-03-04 08:16:02,409 - mmseg - INFO - Iter [107200/160000] lr: 4.687e-06, eta: 3:27:09, time: 0.195, data_time: 0.006, memory: 52540, decode.loss_ce: 0.1881, decode.acc_seg: 92.2653, loss: 0.1881 +2023-03-04 08:16:12,211 - mmseg - INFO - Iter [107250/160000] lr: 4.687e-06, eta: 3:26:56, time: 0.196, data_time: 0.006, memory: 52540, decode.loss_ce: 0.1830, decode.acc_seg: 92.3999, loss: 0.1830 +2023-03-04 08:16:24,417 - mmseg - INFO - Iter [107300/160000] lr: 4.687e-06, eta: 3:26:45, time: 0.244, data_time: 0.055, memory: 52540, decode.loss_ce: 0.1787, decode.acc_seg: 92.6296, loss: 0.1787 +2023-03-04 08:16:34,153 - mmseg - INFO - Iter [107350/160000] lr: 4.687e-06, eta: 3:26:32, time: 0.195, data_time: 0.006, memory: 52540, decode.loss_ce: 0.1884, decode.acc_seg: 92.2357, loss: 0.1884 +2023-03-04 08:16:43,617 - mmseg - INFO - Iter [107400/160000] lr: 4.687e-06, eta: 3:26:19, time: 0.189, data_time: 0.006, memory: 52540, decode.loss_ce: 0.1796, decode.acc_seg: 92.6845, loss: 0.1796 +2023-03-04 08:16:53,311 - mmseg - INFO - Iter [107450/160000] lr: 4.687e-06, eta: 3:26:06, time: 0.194, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1872, decode.acc_seg: 92.2921, loss: 0.1872 +2023-03-04 08:17:02,883 - mmseg - INFO - Iter [107500/160000] lr: 4.687e-06, eta: 3:25:54, time: 0.191, data_time: 0.006, memory: 52540, decode.loss_ce: 0.1853, decode.acc_seg: 92.4415, loss: 0.1853 +2023-03-04 08:17:12,421 - mmseg - INFO - Iter [107550/160000] lr: 4.687e-06, eta: 3:25:41, time: 0.191, data_time: 0.006, memory: 52540, decode.loss_ce: 0.1860, decode.acc_seg: 92.3813, loss: 0.1860 +2023-03-04 08:17:22,343 - mmseg - INFO - Iter [107600/160000] lr: 4.687e-06, eta: 3:25:28, time: 0.198, data_time: 0.006, memory: 52540, decode.loss_ce: 0.1836, decode.acc_seg: 92.5717, loss: 0.1836 +2023-03-04 08:17:32,248 - mmseg - INFO - Iter [107650/160000] lr: 4.687e-06, eta: 3:25:15, time: 0.198, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1821, decode.acc_seg: 92.4392, loss: 0.1821 +2023-03-04 08:17:41,758 - mmseg - INFO - Iter [107700/160000] lr: 4.687e-06, eta: 3:25:02, time: 0.190, data_time: 0.006, memory: 52540, decode.loss_ce: 0.1898, decode.acc_seg: 92.2293, loss: 0.1898 +2023-03-04 08:17:51,228 - mmseg - INFO - Iter [107750/160000] lr: 4.687e-06, eta: 3:24:50, time: 0.189, data_time: 0.006, memory: 52540, decode.loss_ce: 0.1901, decode.acc_seg: 92.0615, loss: 0.1901 +2023-03-04 08:18:00,877 - mmseg - INFO - Iter [107800/160000] lr: 4.687e-06, eta: 3:24:37, time: 0.193, data_time: 0.006, memory: 52540, decode.loss_ce: 0.1855, decode.acc_seg: 92.4395, loss: 0.1855 +2023-03-04 08:18:11,342 - mmseg - INFO - Iter [107850/160000] lr: 4.687e-06, eta: 3:24:24, time: 0.209, data_time: 0.006, memory: 52540, decode.loss_ce: 0.1828, decode.acc_seg: 92.5802, loss: 0.1828 +2023-03-04 08:18:20,975 - mmseg - INFO - Iter [107900/160000] lr: 4.687e-06, eta: 3:24:12, time: 0.193, data_time: 0.006, memory: 52540, decode.loss_ce: 0.1840, decode.acc_seg: 92.4620, loss: 0.1840 +2023-03-04 08:18:33,238 - mmseg - INFO - Iter [107950/160000] lr: 4.687e-06, eta: 3:24:00, time: 0.245, data_time: 0.054, memory: 52540, decode.loss_ce: 0.1843, decode.acc_seg: 92.5061, loss: 0.1843 +2023-03-04 08:18:42,790 - mmseg - INFO - Exp name: ablation_segformer_mit_b2_segformer_head_unet_fc_small_multi_step_ade_single_stage.py +2023-03-04 08:18:42,790 - mmseg - INFO - Iter [108000/160000] lr: 4.687e-06, eta: 3:23:47, time: 0.191, data_time: 0.006, memory: 52540, decode.loss_ce: 0.1820, decode.acc_seg: 92.4843, loss: 0.1820 +2023-03-04 08:18:52,239 - mmseg - INFO - Iter [108050/160000] lr: 4.687e-06, eta: 3:23:34, time: 0.189, data_time: 0.006, memory: 52540, decode.loss_ce: 0.1856, decode.acc_seg: 92.4176, loss: 0.1856 +2023-03-04 08:19:01,797 - mmseg - INFO - Iter [108100/160000] lr: 4.687e-06, eta: 3:23:22, time: 0.191, data_time: 0.006, memory: 52540, decode.loss_ce: 0.1849, decode.acc_seg: 92.2758, loss: 0.1849 +2023-03-04 08:19:11,591 - mmseg - INFO - Iter [108150/160000] lr: 4.687e-06, eta: 3:23:09, time: 0.196, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1903, decode.acc_seg: 92.1366, loss: 0.1903 +2023-03-04 08:19:21,366 - mmseg - INFO - Iter [108200/160000] lr: 4.687e-06, eta: 3:22:56, time: 0.195, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1822, decode.acc_seg: 92.3935, loss: 0.1822 +2023-03-04 08:19:30,858 - mmseg - INFO - Iter [108250/160000] lr: 4.687e-06, eta: 3:22:43, time: 0.190, data_time: 0.006, memory: 52540, decode.loss_ce: 0.1843, decode.acc_seg: 92.4333, loss: 0.1843 +2023-03-04 08:19:40,289 - mmseg - INFO - Iter [108300/160000] lr: 4.687e-06, eta: 3:22:31, time: 0.189, data_time: 0.006, memory: 52540, decode.loss_ce: 0.1773, decode.acc_seg: 92.6098, loss: 0.1773 +2023-03-04 08:19:50,019 - mmseg - INFO - Iter [108350/160000] lr: 4.687e-06, eta: 3:22:18, time: 0.195, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1908, decode.acc_seg: 92.2748, loss: 0.1908 +2023-03-04 08:19:59,609 - mmseg - INFO - Iter [108400/160000] lr: 4.687e-06, eta: 3:22:05, time: 0.192, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1848, decode.acc_seg: 92.3707, loss: 0.1848 +2023-03-04 08:20:09,078 - mmseg - INFO - Iter [108450/160000] lr: 4.687e-06, eta: 3:21:52, time: 0.189, data_time: 0.006, memory: 52540, decode.loss_ce: 0.1869, decode.acc_seg: 92.3588, loss: 0.1869 +2023-03-04 08:20:18,526 - mmseg - INFO - Iter [108500/160000] lr: 4.687e-06, eta: 3:21:39, time: 0.189, data_time: 0.006, memory: 52540, decode.loss_ce: 0.1805, decode.acc_seg: 92.4670, loss: 0.1805 +2023-03-04 08:20:30,718 - mmseg - INFO - Iter [108550/160000] lr: 4.687e-06, eta: 3:21:28, time: 0.244, data_time: 0.054, memory: 52540, decode.loss_ce: 0.1768, decode.acc_seg: 92.5899, loss: 0.1768 +2023-03-04 08:20:40,215 - mmseg - INFO - Iter [108600/160000] lr: 4.687e-06, eta: 3:21:15, time: 0.190, data_time: 0.006, memory: 52540, decode.loss_ce: 0.1849, decode.acc_seg: 92.5354, loss: 0.1849 +2023-03-04 08:20:49,940 - mmseg - INFO - Iter [108650/160000] lr: 4.687e-06, eta: 3:21:02, time: 0.194, data_time: 0.006, memory: 52540, decode.loss_ce: 0.1868, decode.acc_seg: 92.3190, loss: 0.1868 +2023-03-04 08:20:59,470 - mmseg - INFO - Iter [108700/160000] lr: 4.687e-06, eta: 3:20:50, time: 0.191, data_time: 0.006, memory: 52540, decode.loss_ce: 0.1803, decode.acc_seg: 92.5528, loss: 0.1803 +2023-03-04 08:21:09,054 - mmseg - INFO - Iter [108750/160000] lr: 4.687e-06, eta: 3:20:37, time: 0.191, data_time: 0.006, memory: 52540, decode.loss_ce: 0.1849, decode.acc_seg: 92.2342, loss: 0.1849 +2023-03-04 08:21:18,610 - mmseg - INFO - Iter [108800/160000] lr: 4.687e-06, eta: 3:20:24, time: 0.191, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1871, decode.acc_seg: 92.3482, loss: 0.1871 +2023-03-04 08:21:28,175 - mmseg - INFO - Iter [108850/160000] lr: 4.687e-06, eta: 3:20:11, time: 0.191, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1839, decode.acc_seg: 92.4491, loss: 0.1839 +2023-03-04 08:21:37,782 - mmseg - INFO - Iter [108900/160000] lr: 4.687e-06, eta: 3:19:58, time: 0.192, data_time: 0.006, memory: 52540, decode.loss_ce: 0.1789, decode.acc_seg: 92.6722, loss: 0.1789 +2023-03-04 08:21:47,374 - mmseg - INFO - Iter [108950/160000] lr: 4.687e-06, eta: 3:19:46, time: 0.192, data_time: 0.006, memory: 52540, decode.loss_ce: 0.1888, decode.acc_seg: 92.2665, loss: 0.1888 +2023-03-04 08:21:56,897 - mmseg - INFO - Exp name: ablation_segformer_mit_b2_segformer_head_unet_fc_small_multi_step_ade_single_stage.py +2023-03-04 08:21:56,898 - mmseg - INFO - Iter [109000/160000] lr: 4.687e-06, eta: 3:19:33, time: 0.190, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1861, decode.acc_seg: 92.1423, loss: 0.1861 +2023-03-04 08:22:06,575 - mmseg - INFO - Iter [109050/160000] lr: 4.687e-06, eta: 3:19:20, time: 0.194, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1810, decode.acc_seg: 92.5068, loss: 0.1810 +2023-03-04 08:22:16,309 - mmseg - INFO - Iter [109100/160000] lr: 4.687e-06, eta: 3:19:08, time: 0.194, data_time: 0.006, memory: 52540, decode.loss_ce: 0.1913, decode.acc_seg: 92.1957, loss: 0.1913 +2023-03-04 08:22:26,388 - mmseg - INFO - Iter [109150/160000] lr: 4.687e-06, eta: 3:18:55, time: 0.202, data_time: 0.006, memory: 52540, decode.loss_ce: 0.1812, decode.acc_seg: 92.4416, loss: 0.1812 +2023-03-04 08:22:38,355 - mmseg - INFO - Iter [109200/160000] lr: 4.687e-06, eta: 3:18:43, time: 0.239, data_time: 0.055, memory: 52540, decode.loss_ce: 0.1828, decode.acc_seg: 92.4734, loss: 0.1828 +2023-03-04 08:22:47,921 - mmseg - INFO - Iter [109250/160000] lr: 4.687e-06, eta: 3:18:31, time: 0.191, data_time: 0.006, memory: 52540, decode.loss_ce: 0.1896, decode.acc_seg: 92.2070, loss: 0.1896 +2023-03-04 08:22:57,852 - mmseg - INFO - Iter [109300/160000] lr: 4.687e-06, eta: 3:18:18, time: 0.199, data_time: 0.006, memory: 52540, decode.loss_ce: 0.1896, decode.acc_seg: 92.3179, loss: 0.1896 +2023-03-04 08:23:07,539 - mmseg - INFO - Iter [109350/160000] lr: 4.687e-06, eta: 3:18:05, time: 0.194, data_time: 0.006, memory: 52540, decode.loss_ce: 0.1880, decode.acc_seg: 92.2405, loss: 0.1880 +2023-03-04 08:23:17,020 - mmseg - INFO - Iter [109400/160000] lr: 4.687e-06, eta: 3:17:53, time: 0.190, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1787, decode.acc_seg: 92.6490, loss: 0.1787 +2023-03-04 08:23:26,513 - mmseg - INFO - Iter [109450/160000] lr: 4.687e-06, eta: 3:17:40, time: 0.190, data_time: 0.006, memory: 52540, decode.loss_ce: 0.1855, decode.acc_seg: 92.3674, loss: 0.1855 +2023-03-04 08:23:36,100 - mmseg - INFO - Iter [109500/160000] lr: 4.687e-06, eta: 3:17:27, time: 0.192, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1904, decode.acc_seg: 92.2171, loss: 0.1904 +2023-03-04 08:23:45,785 - mmseg - INFO - Iter [109550/160000] lr: 4.687e-06, eta: 3:17:15, time: 0.194, data_time: 0.006, memory: 52540, decode.loss_ce: 0.1826, decode.acc_seg: 92.4445, loss: 0.1826 +2023-03-04 08:23:55,352 - mmseg - INFO - Iter [109600/160000] lr: 4.687e-06, eta: 3:17:02, time: 0.191, data_time: 0.006, memory: 52540, decode.loss_ce: 0.1873, decode.acc_seg: 92.3648, loss: 0.1873 +2023-03-04 08:24:04,800 - mmseg - INFO - Iter [109650/160000] lr: 4.687e-06, eta: 3:16:49, time: 0.189, data_time: 0.006, memory: 52540, decode.loss_ce: 0.1812, decode.acc_seg: 92.5459, loss: 0.1812 +2023-03-04 08:24:14,371 - mmseg - INFO - Iter [109700/160000] lr: 4.687e-06, eta: 3:16:36, time: 0.191, data_time: 0.006, memory: 52540, decode.loss_ce: 0.1781, decode.acc_seg: 92.5295, loss: 0.1781 +2023-03-04 08:24:24,162 - mmseg - INFO - Iter [109750/160000] lr: 4.687e-06, eta: 3:16:24, time: 0.196, data_time: 0.006, memory: 52540, decode.loss_ce: 0.1797, decode.acc_seg: 92.5364, loss: 0.1797 +2023-03-04 08:24:36,559 - mmseg - INFO - Iter [109800/160000] lr: 4.687e-06, eta: 3:16:12, time: 0.248, data_time: 0.054, memory: 52540, decode.loss_ce: 0.1878, decode.acc_seg: 92.4331, loss: 0.1878 +2023-03-04 08:24:46,106 - mmseg - INFO - Iter [109850/160000] lr: 4.687e-06, eta: 3:16:00, time: 0.191, data_time: 0.006, memory: 52540, decode.loss_ce: 0.1832, decode.acc_seg: 92.3812, loss: 0.1832 +2023-03-04 08:24:55,788 - mmseg - INFO - Iter [109900/160000] lr: 4.687e-06, eta: 3:15:47, time: 0.194, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1858, decode.acc_seg: 92.3628, loss: 0.1858 +2023-03-04 08:25:05,403 - mmseg - INFO - Iter [109950/160000] lr: 4.687e-06, eta: 3:15:34, time: 0.193, data_time: 0.006, memory: 52540, decode.loss_ce: 0.1910, decode.acc_seg: 92.2233, loss: 0.1910 +2023-03-04 08:25:14,897 - mmseg - INFO - Exp name: ablation_segformer_mit_b2_segformer_head_unet_fc_small_multi_step_ade_single_stage.py +2023-03-04 08:25:14,897 - mmseg - INFO - Iter [110000/160000] lr: 4.687e-06, eta: 3:15:21, time: 0.190, data_time: 0.006, memory: 52540, decode.loss_ce: 0.1793, decode.acc_seg: 92.5372, loss: 0.1793 +2023-03-04 08:25:24,463 - mmseg - INFO - Iter [110050/160000] lr: 4.687e-06, eta: 3:15:09, time: 0.191, data_time: 0.006, memory: 52540, decode.loss_ce: 0.1813, decode.acc_seg: 92.5178, loss: 0.1813 +2023-03-04 08:25:33,998 - mmseg - INFO - Iter [110100/160000] lr: 4.687e-06, eta: 3:14:56, time: 0.191, data_time: 0.006, memory: 52540, decode.loss_ce: 0.1846, decode.acc_seg: 92.3263, loss: 0.1846 +2023-03-04 08:25:43,912 - mmseg - INFO - Iter [110150/160000] lr: 4.687e-06, eta: 3:14:44, time: 0.198, data_time: 0.006, memory: 52540, decode.loss_ce: 0.1822, decode.acc_seg: 92.4493, loss: 0.1822 +2023-03-04 08:25:53,713 - mmseg - INFO - Iter [110200/160000] lr: 4.687e-06, eta: 3:14:31, time: 0.196, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1807, decode.acc_seg: 92.4380, loss: 0.1807 +2023-03-04 08:26:03,209 - mmseg - INFO - Iter [110250/160000] lr: 4.687e-06, eta: 3:14:18, time: 0.190, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1808, decode.acc_seg: 92.5546, loss: 0.1808 +2023-03-04 08:26:12,659 - mmseg - INFO - Iter [110300/160000] lr: 4.687e-06, eta: 3:14:05, time: 0.189, data_time: 0.006, memory: 52540, decode.loss_ce: 0.1801, decode.acc_seg: 92.4664, loss: 0.1801 +2023-03-04 08:26:22,155 - mmseg - INFO - Iter [110350/160000] lr: 4.687e-06, eta: 3:13:53, time: 0.190, data_time: 0.006, memory: 52540, decode.loss_ce: 0.1917, decode.acc_seg: 92.1747, loss: 0.1917 +2023-03-04 08:26:31,858 - mmseg - INFO - Iter [110400/160000] lr: 4.687e-06, eta: 3:13:40, time: 0.194, data_time: 0.006, memory: 52540, decode.loss_ce: 0.1844, decode.acc_seg: 92.4914, loss: 0.1844 +2023-03-04 08:26:43,912 - mmseg - INFO - Iter [110450/160000] lr: 4.687e-06, eta: 3:13:29, time: 0.241, data_time: 0.054, memory: 52540, decode.loss_ce: 0.1756, decode.acc_seg: 92.6027, loss: 0.1756 +2023-03-04 08:26:53,459 - mmseg - INFO - Iter [110500/160000] lr: 4.687e-06, eta: 3:13:16, time: 0.191, data_time: 0.006, memory: 52540, decode.loss_ce: 0.1742, decode.acc_seg: 92.7140, loss: 0.1742 +2023-03-04 08:27:02,944 - mmseg - INFO - Iter [110550/160000] lr: 4.687e-06, eta: 3:13:03, time: 0.190, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1804, decode.acc_seg: 92.4854, loss: 0.1804 +2023-03-04 08:27:12,619 - mmseg - INFO - Iter [110600/160000] lr: 4.687e-06, eta: 3:12:51, time: 0.193, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1830, decode.acc_seg: 92.4251, loss: 0.1830 +2023-03-04 08:27:22,135 - mmseg - INFO - Iter [110650/160000] lr: 4.687e-06, eta: 3:12:38, time: 0.190, data_time: 0.006, memory: 52540, decode.loss_ce: 0.1895, decode.acc_seg: 92.1355, loss: 0.1895 +2023-03-04 08:27:31,791 - mmseg - INFO - Iter [110700/160000] lr: 4.687e-06, eta: 3:12:25, time: 0.193, data_time: 0.006, memory: 52540, decode.loss_ce: 0.1836, decode.acc_seg: 92.5990, loss: 0.1836 +2023-03-04 08:27:41,282 - mmseg - INFO - Iter [110750/160000] lr: 4.687e-06, eta: 3:12:13, time: 0.190, data_time: 0.006, memory: 52540, decode.loss_ce: 0.1882, decode.acc_seg: 92.3773, loss: 0.1882 +2023-03-04 08:27:50,981 - mmseg - INFO - Iter [110800/160000] lr: 4.687e-06, eta: 3:12:00, time: 0.194, data_time: 0.006, memory: 52540, decode.loss_ce: 0.1825, decode.acc_seg: 92.5047, loss: 0.1825 +2023-03-04 08:28:00,505 - mmseg - INFO - Iter [110850/160000] lr: 4.687e-06, eta: 3:11:47, time: 0.190, data_time: 0.006, memory: 52540, decode.loss_ce: 0.1772, decode.acc_seg: 92.6619, loss: 0.1772 +2023-03-04 08:28:10,232 - mmseg - INFO - Iter [110900/160000] lr: 4.687e-06, eta: 3:11:35, time: 0.195, data_time: 0.006, memory: 52540, decode.loss_ce: 0.1872, decode.acc_seg: 92.3420, loss: 0.1872 +2023-03-04 08:28:19,936 - mmseg - INFO - Iter [110950/160000] lr: 4.687e-06, eta: 3:11:22, time: 0.194, data_time: 0.006, memory: 52540, decode.loss_ce: 0.1778, decode.acc_seg: 92.6472, loss: 0.1778 +2023-03-04 08:28:29,611 - mmseg - INFO - Exp name: ablation_segformer_mit_b2_segformer_head_unet_fc_small_multi_step_ade_single_stage.py +2023-03-04 08:28:29,611 - mmseg - INFO - Iter [111000/160000] lr: 4.687e-06, eta: 3:11:09, time: 0.193, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1875, decode.acc_seg: 92.3885, loss: 0.1875 +2023-03-04 08:28:39,382 - mmseg - INFO - Iter [111050/160000] lr: 4.687e-06, eta: 3:10:57, time: 0.195, data_time: 0.006, memory: 52540, decode.loss_ce: 0.1875, decode.acc_seg: 92.3711, loss: 0.1875 +2023-03-04 08:28:51,812 - mmseg - INFO - Iter [111100/160000] lr: 4.687e-06, eta: 3:10:46, time: 0.248, data_time: 0.054, memory: 52540, decode.loss_ce: 0.1878, decode.acc_seg: 92.4241, loss: 0.1878 +2023-03-04 08:29:01,621 - mmseg - INFO - Iter [111150/160000] lr: 4.687e-06, eta: 3:10:33, time: 0.196, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1873, decode.acc_seg: 92.2244, loss: 0.1873 +2023-03-04 08:29:11,093 - mmseg - INFO - Iter [111200/160000] lr: 4.687e-06, eta: 3:10:20, time: 0.189, data_time: 0.006, memory: 52540, decode.loss_ce: 0.1886, decode.acc_seg: 92.4621, loss: 0.1886 +2023-03-04 08:29:20,563 - mmseg - INFO - Iter [111250/160000] lr: 4.687e-06, eta: 3:10:08, time: 0.189, data_time: 0.006, memory: 52540, decode.loss_ce: 0.1789, decode.acc_seg: 92.6217, loss: 0.1789 +2023-03-04 08:29:30,126 - mmseg - INFO - Iter [111300/160000] lr: 4.687e-06, eta: 3:09:55, time: 0.191, data_time: 0.006, memory: 52540, decode.loss_ce: 0.1838, decode.acc_seg: 92.4747, loss: 0.1838 +2023-03-04 08:29:39,679 - mmseg - INFO - Iter [111350/160000] lr: 4.687e-06, eta: 3:09:42, time: 0.191, data_time: 0.006, memory: 52540, decode.loss_ce: 0.1798, decode.acc_seg: 92.6549, loss: 0.1798 +2023-03-04 08:29:49,557 - mmseg - INFO - Iter [111400/160000] lr: 4.687e-06, eta: 3:09:30, time: 0.198, data_time: 0.006, memory: 52540, decode.loss_ce: 0.1899, decode.acc_seg: 92.3278, loss: 0.1899 +2023-03-04 08:29:59,408 - mmseg - INFO - Iter [111450/160000] lr: 4.687e-06, eta: 3:09:17, time: 0.197, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1824, decode.acc_seg: 92.5180, loss: 0.1824 +2023-03-04 08:30:09,220 - mmseg - INFO - Iter [111500/160000] lr: 4.687e-06, eta: 3:09:05, time: 0.196, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1882, decode.acc_seg: 92.2347, loss: 0.1882 +2023-03-04 08:30:19,296 - mmseg - INFO - Iter [111550/160000] lr: 4.687e-06, eta: 3:08:52, time: 0.202, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1876, decode.acc_seg: 92.2264, loss: 0.1876 +2023-03-04 08:30:28,879 - mmseg - INFO - Iter [111600/160000] lr: 4.687e-06, eta: 3:08:40, time: 0.192, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1848, decode.acc_seg: 92.3068, loss: 0.1848 +2023-03-04 08:30:38,490 - mmseg - INFO - Iter [111650/160000] lr: 4.687e-06, eta: 3:08:27, time: 0.192, data_time: 0.006, memory: 52540, decode.loss_ce: 0.1887, decode.acc_seg: 92.0733, loss: 0.1887 +2023-03-04 08:30:50,681 - mmseg - INFO - Iter [111700/160000] lr: 4.687e-06, eta: 3:08:16, time: 0.244, data_time: 0.059, memory: 52540, decode.loss_ce: 0.1869, decode.acc_seg: 92.4541, loss: 0.1869 +2023-03-04 08:31:00,269 - mmseg - INFO - Iter [111750/160000] lr: 4.687e-06, eta: 3:08:03, time: 0.192, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1838, decode.acc_seg: 92.3905, loss: 0.1838 +2023-03-04 08:31:10,047 - mmseg - INFO - Iter [111800/160000] lr: 4.687e-06, eta: 3:07:51, time: 0.196, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1832, decode.acc_seg: 92.3797, loss: 0.1832 +2023-03-04 08:31:19,678 - mmseg - INFO - Iter [111850/160000] lr: 4.687e-06, eta: 3:07:38, time: 0.193, data_time: 0.006, memory: 52540, decode.loss_ce: 0.1806, decode.acc_seg: 92.5537, loss: 0.1806 +2023-03-04 08:31:29,442 - mmseg - INFO - Iter [111900/160000] lr: 4.687e-06, eta: 3:07:26, time: 0.195, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1823, decode.acc_seg: 92.5127, loss: 0.1823 +2023-03-04 08:31:39,215 - mmseg - INFO - Iter [111950/160000] lr: 4.687e-06, eta: 3:07:13, time: 0.195, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1862, decode.acc_seg: 92.3790, loss: 0.1862 +2023-03-04 08:31:48,697 - mmseg - INFO - Swap parameters (after train) after iter [112000] +2023-03-04 08:31:48,711 - mmseg - INFO - Saving checkpoint at 112000 iterations +2023-03-04 08:31:49,806 - mmseg - INFO - Exp name: ablation_segformer_mit_b2_segformer_head_unet_fc_small_multi_step_ade_single_stage.py +2023-03-04 08:31:49,806 - mmseg - INFO - Iter [112000/160000] lr: 4.687e-06, eta: 3:07:01, time: 0.212, data_time: 0.006, memory: 52540, decode.loss_ce: 0.1872, decode.acc_seg: 92.1721, loss: 0.1872 +2023-03-04 08:42:42,007 - mmseg - INFO - per class results: +2023-03-04 08:42:42,017 - mmseg - INFO - ++---------------------+-------------------------------------------------------------------+ +| Class | IoU 0,10,20,30,40,50,60,70,80,90,99 | ++---------------------+-------------------------------------------------------------------+ +| background | nan,nan,nan,nan,nan,nan,nan,nan,nan,nan,nan | +| wall | 77.41,77.44,77.48,77.49,77.52,77.51,77.52,77.52,77.52,77.51,77.51 | +| building | 81.68,81.69,81.69,81.71,81.71,81.71,81.72,81.72,81.74,81.76,81.76 | +| sky | 94.41,94.42,94.42,94.43,94.43,94.44,94.45,94.45,94.47,94.47,94.48 | +| floor | 81.65,81.68,81.7,81.69,81.71,81.72,81.73,81.74,81.75,81.77,81.76 | +| tree | 74.39,74.41,74.42,74.43,74.45,74.47,74.48,74.48,74.49,74.48,74.49 | +| ceiling | 85.27,85.31,85.31,85.32,85.34,85.33,85.33,85.33,85.35,85.34,85.34 | +| road | 82.32,82.38,82.42,82.45,82.48,82.5,82.5,82.51,82.5,82.49,82.45 | +| bed | 87.53,87.6,87.64,87.61,87.64,87.64,87.63,87.64,87.66,87.73,87.7 | +| windowpane | 60.56,60.57,60.64,60.71,60.66,60.67,60.66,60.73,60.73,60.75,60.8 | +| grass | 67.13,67.18,67.23,67.28,67.33,67.37,67.41,67.42,67.44,67.48,67.54 | +| cabinet | 61.41,61.58,61.71,61.85,62.05,62.18,62.19,62.27,62.35,62.34,62.38 | +| sidewalk | 64.78,64.87,64.93,64.96,64.99,65.02,64.99,64.99,64.96,64.93,64.86 | +| person | 79.69,79.72,79.72,79.74,79.75,79.78,79.81,79.81,79.8,79.83,79.79 | +| earth | 35.8,35.85,35.78,35.76,35.71,35.68,35.64,35.58,35.55,35.57,35.57 | +| door | 45.81,45.83,45.76,45.75,45.72,45.71,45.69,45.6,45.59,45.6,45.65 | +| table | 61.27,61.33,61.39,61.48,61.6,61.65,61.71,61.72,61.73,61.76,61.79 | +| mountain | 56.76,56.74,56.82,56.88,57.0,57.07,57.23,57.3,57.33,57.45,57.38 | +| plant | 49.45,49.42,49.37,49.35,49.36,49.37,49.29,49.28,49.29,49.29,49.38 | +| curtain | 74.18,74.19,74.19,74.26,74.24,74.15,74.14,74.15,74.17,74.13,74.18 | +| chair | 56.68,56.71,56.68,56.71,56.7,56.7,56.75,56.73,56.71,56.73,56.72 | +| car | 81.7,81.78,81.81,81.86,81.9,81.94,81.99,82.02,82.04,82.06,82.08 | +| water | 57.24,57.24,57.22,57.27,57.28,57.33,57.37,57.39,57.43,57.44,57.44 | +| painting | 70.69,70.71,70.66,70.63,70.56,70.44,70.47,70.48,70.44,70.44,70.44 | +| sofa | 64.61,64.65,64.76,64.77,64.88,64.92,64.85,64.83,64.79,64.77,64.78 | +| shelf | 44.31,44.36,44.46,44.47,44.54,44.62,44.59,44.55,44.55,44.56,44.53 | +| house | 43.07,43.1,43.14,43.2,43.23,43.29,43.35,43.39,43.41,43.58,43.33 | +| sea | 60.34,60.35,60.37,60.36,60.37,60.43,60.41,60.42,60.39,60.4,60.43 | +| mirror | 66.87,67.04,67.03,67.02,67.04,67.02,67.07,67.13,66.94,66.93,66.94 | +| rug | 64.76,64.85,64.89,64.87,64.94,65.01,65.04,65.05,65.14,65.2,65.37 | +| field | 30.86,30.87,30.83,30.84,30.84,30.81,30.79,30.8,30.78,30.79,30.73 | +| armchair | 37.69,37.84,37.81,37.88,37.97,37.98,37.99,37.91,37.89,37.81,37.92 | +| seat | 66.22,66.37,66.5,66.63,66.65,66.65,66.67,66.81,66.87,66.93,67.0 | +| fence | 40.91,40.93,40.97,40.95,40.93,41.02,41.0,40.97,40.96,40.9,40.89 | +| desk | 46.79,46.9,47.07,47.31,47.46,47.53,47.54,47.59,47.54,47.45,47.39 | +| rock | 36.71,36.7,36.77,36.81,36.97,37.04,37.03,37.04,37.01,37.0,37.1 | +| wardrobe | 57.39,57.26,57.17,57.08,57.16,57.21,57.3,57.38,57.43,57.46,57.56 | +| lamp | 62.22,62.28,62.35,62.37,62.38,62.48,62.52,62.54,62.5,62.51,62.47 | +| bathtub | 77.8,77.76,77.84,77.74,77.62,77.84,77.67,77.49,77.58,77.43,77.03 | +| railing | 33.98,33.93,33.97,33.97,34.12,34.16,34.24,34.19,34.19,34.21,34.19 | +| cushion | 56.56,56.57,56.62,56.57,56.6,56.56,56.42,56.46,56.47,56.48,56.43 | +| base | 22.43,22.62,22.68,22.76,22.85,22.91,23.1,23.15,23.19,23.23,23.18 | +| box | 23.19,23.22,23.27,23.35,23.38,23.49,23.5,23.47,23.45,23.46,23.5 | +| column | 45.83,45.9,46.0,46.11,46.02,46.11,46.16,46.2,46.24,46.38,46.53 | +| signboard | 37.6,37.7,37.72,37.77,37.76,37.8,37.82,37.8,37.87,37.88,37.86 | +| chest of drawers | 36.1,36.26,36.29,36.26,36.3,36.49,36.46,36.61,36.71,36.62,36.91 | +| counter | 31.56,31.48,31.69,31.6,31.67,31.71,31.79,31.79,31.96,31.91,32.02 | +| sand | 41.84,41.88,41.89,41.94,41.98,42.09,42.09,42.09,42.1,42.16,42.16 | +| sink | 67.63,67.65,67.66,67.52,67.54,67.59,67.51,67.48,67.46,67.39,67.39 | +| skyscraper | 50.09,49.81,49.38,49.38,49.11,48.92,48.91,48.72,48.86,48.86,48.95 | +| fireplace | 76.18,76.26,76.34,76.31,76.45,76.42,76.58,76.61,76.71,76.76,76.62 | +| refrigerator | 76.18,76.33,76.6,76.63,76.81,76.92,76.84,77.04,77.16,77.24,77.23 | +| grandstand | 53.16,53.47,53.62,54.07,53.99,54.12,54.38,54.36,54.62,54.75,54.84 | +| path | 22.13,22.18,22.35,22.37,22.46,22.6,22.62,22.63,22.7,22.69,22.71 | +| stairs | 32.43,32.47,32.43,32.43,32.37,32.44,32.44,32.33,32.48,32.5,32.41 | +| runway | 67.51,67.66,67.69,67.73,67.81,67.85,67.8,67.86,67.85,67.88,67.92 | +| case | 48.51,48.73,48.78,48.73,48.82,48.91,48.86,48.81,48.87,48.97,48.83 | +| pool table | 91.62,91.62,91.64,91.59,91.61,91.64,91.61,91.65,91.67,91.69,91.64 | +| pillow | 59.83,60.0,60.0,59.94,59.79,59.89,60.06,59.91,59.78,59.73,59.64 | +| screen door | 72.0,72.08,72.01,71.85,71.74,71.6,71.6,71.58,71.5,71.47,71.56 | +| stairway | 24.19,24.21,24.28,24.23,24.32,24.34,24.37,24.4,24.42,24.46,24.37 | +| river | 12.07,12.1,12.08,12.09,12.1,12.12,12.08,12.09,12.09,12.07,12.04 | +| bridge | 31.69,31.66,31.63,31.77,31.79,31.82,31.75,31.76,31.73,31.69,31.73 | +| bookcase | 46.38,46.48,46.41,46.41,46.53,46.47,46.6,46.59,46.65,46.72,46.47 | +| blind | 39.55,39.39,39.6,39.62,39.41,39.48,39.4,39.67,39.7,39.75,39.61 | +| coffee table | 53.6,53.6,53.68,53.74,53.83,53.83,54.01,53.88,53.85,53.82,53.88 | +| toilet | 83.61,83.67,83.68,83.63,83.61,83.59,83.49,83.52,83.49,83.44,83.44 | +| flower | 38.95,38.88,38.93,38.86,38.88,38.87,38.78,38.81,38.76,38.87,38.8 | +| book | 45.21,45.18,45.14,45.16,45.18,45.12,45.08,45.14,45.13,45.25,45.13 | +| hill | 15.49,15.53,15.31,15.29,15.19,15.24,15.23,15.15,15.22,15.24,15.22 | +| bench | 42.63,42.52,42.39,42.36,42.19,42.06,41.97,41.85,41.83,41.75,41.73 | +| countertop | 55.6,55.73,56.0,56.18,56.14,56.39,56.4,56.45,56.48,56.48,56.55 | +| stove | 72.55,72.6,72.75,72.85,72.9,72.99,73.08,73.07,73.13,73.26,73.21 | +| palm | 47.88,47.91,47.89,47.75,47.73,47.78,47.77,47.74,47.73,47.73,47.65 | +| kitchen island | 46.24,46.45,46.59,46.99,47.17,47.41,47.51,47.58,47.77,47.84,47.88 | +| computer | 60.63,60.6,60.67,60.69,60.72,60.75,60.7,60.78,60.71,60.7,60.73 | +| swivel chair | 44.63,44.75,44.78,44.79,45.03,45.08,45.36,45.16,45.26,45.31,45.21 | +| boat | 72.96,72.96,73.17,73.04,73.24,73.3,73.41,73.4,73.47,73.32,73.29 | +| bar | 23.72,23.83,23.79,23.82,23.83,23.82,23.89,23.94,23.87,23.88,23.95 | +| arcade machine | 69.25,69.47,69.85,69.94,69.99,70.1,69.83,70.24,70.37,70.58,70.53 | +| hovel | 30.69,30.64,30.91,30.79,30.85,30.84,30.85,30.76,30.49,30.61,30.03 | +| bus | 79.57,79.46,79.56,79.53,79.59,79.62,79.7,79.67,79.73,79.73,79.7 | +| towel | 62.08,62.12,62.05,62.21,61.93,62.13,62.08,62.11,62.1,61.95,61.9 | +| light | 56.01,56.08,56.07,56.21,56.14,56.11,56.17,56.13,56.26,56.32,56.33 | +| truck | 19.32,19.37,19.37,19.42,19.26,19.25,19.09,19.18,18.98,18.92,18.84 | +| tower | 9.09,9.14,9.09,8.99,9.05,9.03,9.04,8.98,9.02,8.96,9.11 | +| chandelier | 64.7,64.77,64.75,64.75,64.79,64.88,64.92,64.91,64.87,64.85,64.92 | +| awning | 23.27,23.71,23.9,24.05,24.36,24.35,24.37,24.6,24.58,24.72,24.7 | +| streetlight | 27.15,27.19,27.32,27.28,27.37,27.37,27.41,27.52,27.52,27.54,27.68 | +| booth | 47.45,47.59,47.77,48.01,48.34,48.65,49.76,49.93,50.05,50.27,50.4 | +| television receiver | 64.26,64.2,64.29,64.39,64.44,64.34,64.35,64.37,64.35,64.43,64.32 | +| airplane | 60.67,60.82,60.74,60.67,60.77,60.62,60.62,60.48,60.42,60.39,60.35 | +| dirt track | 21.36,21.41,21.63,21.84,22.1,22.52,22.75,22.7,23.14,23.22,23.34 | +| apparel | 33.97,34.13,34.29,34.67,34.4,34.84,34.87,34.82,34.95,34.95,34.93 | +| pole | 18.16,18.15,18.08,18.04,17.99,17.93,17.97,17.83,17.93,17.99,17.93 | +| land | 3.48,3.45,3.53,3.54,3.49,3.58,3.5,3.53,3.56,3.58,3.47 | +| bannister | 11.76,11.79,11.97,11.86,12.05,12.1,12.18,12.15,12.15,12.25,12.28 | +| escalator | 24.19,24.2,24.19,24.25,24.22,24.25,24.29,24.32,24.38,24.37,24.34 | +| ottoman | 41.07,41.12,41.13,40.75,40.75,40.5,40.27,40.33,40.37,41.08,41.53 | +| bottle | 34.96,34.77,34.98,34.92,35.05,35.15,34.87,35.22,35.23,35.2,35.34 | +| buffet | 43.53,43.96,44.67,44.79,45.73,45.74,45.88,46.06,46.06,46.27,46.14 | +| poster | 23.18,23.1,23.12,23.14,23.09,23.18,23.22,23.26,23.26,23.39,23.71 | +| stage | 14.06,14.06,13.76,13.91,13.77,13.71,13.74,13.53,13.64,13.43,13.47 | +| van | 38.65,38.53,38.67,38.58,38.62,38.61,38.75,38.71,38.73,38.69,38.63 | +| ship | 82.92,83.06,83.25,83.49,83.69,83.85,83.77,83.67,83.75,83.74,83.86 | +| fountain | 19.26,19.38,19.62,19.75,19.87,20.12,20.15,20.23,20.31,20.36,20.74 | +| conveyer belt | 85.39,85.49,85.76,85.87,86.06,86.3,86.41,86.58,86.61,86.76,86.62 | +| canopy | 21.9,22.29,22.53,22.83,23.12,23.2,23.43,23.59,23.76,23.9,24.03 | +| washer | 75.78,75.78,76.18,76.06,76.02,76.17,76.31,76.47,76.52,76.51,76.62 | +| plaything | 20.6,20.51,20.57,20.48,20.39,20.45,20.44,20.42,20.45,20.46,20.48 | +| swimming pool | 74.17,74.7,74.95,75.07,75.14,75.53,75.67,75.75,76.21,76.05,75.58 | +| stool | 43.48,43.35,43.57,43.62,43.71,43.5,43.31,43.34,43.24,43.19,43.24 | +| barrel | 42.06,43.08,41.64,41.54,39.87,40.27,40.11,39.77,39.0,39.13,38.91 | +| basket | 24.28,24.34,24.43,24.3,24.27,24.53,24.52,24.47,24.43,24.35,24.31 | +| waterfall | 49.35,49.55,49.32,49.36,49.35,49.39,49.33,49.37,49.37,49.39,49.47 | +| tent | 93.39,93.44,93.43,93.47,93.45,93.34,93.4,93.42,93.49,93.47,93.48 | +| bag | 15.72,15.77,15.77,15.62,15.5,15.58,15.53,15.41,15.24,15.09,15.09 | +| minibike | 62.52,62.4,62.6,62.85,62.61,62.87,63.01,63.17,63.1,63.36,63.55 | +| cradle | 85.15,85.38,85.59,85.62,85.79,85.83,85.95,86.09,86.2,86.27,86.35 | +| oven | 47.54,47.67,47.68,47.86,48.22,48.21,48.23,48.61,48.82,48.8,48.94 | +| ball | 45.3,45.25,45.36,45.34,45.38,45.2,45.34,45.47,45.42,45.49,45.33 | +| food | 54.11,54.19,54.12,54.1,54.1,53.82,53.65,53.67,53.61,53.64,53.42 | +| step | 6.26,6.43,6.57,6.63,6.76,6.73,6.95,6.97,7.02,7.02,7.02 | +| tank | 51.23,51.17,51.11,50.97,50.95,50.76,50.72,50.55,50.45,50.38,50.41 | +| trade name | 27.77,27.92,27.97,27.87,28.04,27.8,27.91,27.84,27.83,27.8,27.9 | +| microwave | 72.79,73.1,73.63,73.86,74.32,74.47,74.49,75.02,75.19,75.24,75.32 | +| pot | 31.04,31.1,31.26,31.29,31.51,31.67,32.08,32.17,32.12,32.18,32.19 | +| animal | 53.97,54.02,54.01,53.98,54.07,53.93,53.71,53.64,53.61,53.49,53.45 | +| bicycle | 53.62,53.63,53.59,53.76,53.97,53.91,54.11,54.1,54.26,54.38,54.4 | +| lake | 57.4,57.47,57.51,57.6,57.64,57.68,57.8,57.86,57.93,57.99,58.03 | +| dishwasher | 66.79,66.42,66.45,66.55,66.35,66.4,66.33,66.27,66.42,66.24,66.26 | +| screen | 70.82,70.79,71.49,71.26,71.77,71.49,70.94,70.99,70.22,69.33,68.84 | +| blanket | 17.86,18.26,18.36,18.37,18.39,18.51,18.38,18.45,18.44,18.4,18.48 | +| sculpture | 57.97,57.97,57.91,57.98,57.94,57.89,57.76,57.17,57.03,57.0,57.12 | +| hood | 58.02,57.57,57.66,57.72,57.56,57.57,57.76,57.7,57.71,57.68,57.7 | +| sconce | 42.8,42.9,43.18,43.1,43.08,43.24,43.23,43.47,43.2,43.37,43.39 | +| vase | 38.0,38.17,38.22,38.27,38.5,38.46,38.72,38.68,38.73,38.74,38.88 | +| traffic light | 32.7,32.63,32.72,32.96,33.1,33.2,33.24,33.27,33.34,33.36,33.48 | +| tray | 7.46,7.47,7.33,7.33,7.29,7.18,7.15,7.08,7.01,7.05,7.1 | +| ashcan | 38.55,38.57,38.4,38.26,38.27,38.26,38.52,38.34,38.36,38.32,38.27 | +| fan | 57.7,57.61,57.64,57.77,57.59,57.64,57.74,57.56,57.57,57.53,57.38 | +| pier | 42.12,42.72,42.24,42.56,42.48,42.49,42.89,42.94,43.15,42.6,41.98 | +| crt screen | 10.77,10.73,10.68,10.63,10.57,10.48,10.38,10.32,10.27,10.22,10.22 | +| plate | 53.03,53.32,53.37,53.62,53.67,53.72,53.88,53.94,54.03,54.14,54.12 | +| monitor | 16.71,16.75,16.61,16.28,16.3,16.05,15.64,15.44,15.05,14.77,14.67 | +| bulletin board | 36.86,36.86,36.73,36.65,36.92,36.86,37.29,37.1,37.13,37.18,37.28 | +| shower | 2.38,2.47,2.36,2.32,2.26,1.89,1.77,1.74,1.54,1.65,1.36 | +| radiator | 59.83,60.39,60.63,61.35,61.49,61.94,62.05,62.24,62.45,62.42,62.38 | +| glass | 14.15,14.19,14.16,14.19,14.19,14.11,14.1,14.09,14.01,14.07,13.98 | +| clock | 35.31,35.89,35.86,36.23,36.1,36.2,36.11,36.18,36.38,36.43,36.47 | +| flag | 35.16,35.36,35.21,35.29,34.71,34.82,34.58,34.56,34.53,34.43,34.37 | ++---------------------+-------------------------------------------------------------------+ +2023-03-04 08:42:42,017 - mmseg - INFO - Summary: +2023-03-04 08:42:42,018 - mmseg - INFO - ++-------------------------------------------------------------------+ +| mIoU 0,10,20,30,40,50,60,70,80,90,99 | ++-------------------------------------------------------------------+ +| 48.71,48.78,48.82,48.86,48.88,48.92,48.94,48.95,48.96,48.97,48.96 | ++-------------------------------------------------------------------+ +2023-03-04 08:42:42,018 - mmseg - INFO - Exp name: ablation_segformer_mit_b2_segformer_head_unet_fc_small_multi_step_ade_single_stage.py +2023-03-04 08:42:42,018 - mmseg - INFO - Iter(val) [250] mIoU: [0.4871, 0.4878, 0.4882, 0.4886, 0.4888, 0.4892, 0.4894, 0.4895, 0.4896, 0.4897, 0.4896], copy_paste: 48.71,48.78,48.82,48.86,48.88,48.92,48.94,48.95,48.96,48.97,48.96 +2023-03-04 08:42:42,026 - mmseg - INFO - Swap parameters (before train) before iter [112001] +2023-03-04 08:42:52,211 - mmseg - INFO - Iter [112050/160000] lr: 4.687e-06, eta: 3:11:28, time: 13.248, data_time: 13.052, memory: 52540, decode.loss_ce: 0.1758, decode.acc_seg: 92.6669, loss: 0.1758 +2023-03-04 08:43:02,050 - mmseg - INFO - Iter [112100/160000] lr: 4.687e-06, eta: 3:11:15, time: 0.197, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1881, decode.acc_seg: 92.3127, loss: 0.1881 +2023-03-04 08:43:11,615 - mmseg - INFO - Iter [112150/160000] lr: 4.687e-06, eta: 3:11:02, time: 0.191, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1821, decode.acc_seg: 92.4819, loss: 0.1821 +2023-03-04 08:43:21,277 - mmseg - INFO - Iter [112200/160000] lr: 4.687e-06, eta: 3:10:49, time: 0.193, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1868, decode.acc_seg: 92.3944, loss: 0.1868 +2023-03-04 08:43:31,194 - mmseg - INFO - Iter [112250/160000] lr: 4.687e-06, eta: 3:10:36, time: 0.198, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1872, decode.acc_seg: 92.3667, loss: 0.1872 +2023-03-04 08:43:41,728 - mmseg - INFO - Iter [112300/160000] lr: 4.687e-06, eta: 3:10:23, time: 0.211, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1796, decode.acc_seg: 92.4610, loss: 0.1796 +2023-03-04 08:43:54,145 - mmseg - INFO - Iter [112350/160000] lr: 4.687e-06, eta: 3:10:12, time: 0.248, data_time: 0.054, memory: 52540, decode.loss_ce: 0.1835, decode.acc_seg: 92.4074, loss: 0.1835 +2023-03-04 08:44:03,798 - mmseg - INFO - Iter [112400/160000] lr: 4.687e-06, eta: 3:09:59, time: 0.193, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1788, decode.acc_seg: 92.5877, loss: 0.1788 +2023-03-04 08:44:13,318 - mmseg - INFO - Iter [112450/160000] lr: 4.687e-06, eta: 3:09:46, time: 0.190, data_time: 0.006, memory: 52540, decode.loss_ce: 0.1844, decode.acc_seg: 92.4574, loss: 0.1844 +2023-03-04 08:44:22,937 - mmseg - INFO - Iter [112500/160000] lr: 4.687e-06, eta: 3:09:33, time: 0.192, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1787, decode.acc_seg: 92.6039, loss: 0.1787 +2023-03-04 08:44:32,705 - mmseg - INFO - Iter [112550/160000] lr: 4.687e-06, eta: 3:09:20, time: 0.195, data_time: 0.006, memory: 52540, decode.loss_ce: 0.1837, decode.acc_seg: 92.4797, loss: 0.1837 +2023-03-04 08:44:42,229 - mmseg - INFO - Iter [112600/160000] lr: 4.687e-06, eta: 3:09:07, time: 0.190, data_time: 0.006, memory: 52540, decode.loss_ce: 0.1804, decode.acc_seg: 92.5689, loss: 0.1804 +2023-03-04 08:44:52,175 - mmseg - INFO - Iter [112650/160000] lr: 4.687e-06, eta: 3:08:54, time: 0.199, data_time: 0.006, memory: 52540, decode.loss_ce: 0.1961, decode.acc_seg: 92.1800, loss: 0.1961 +2023-03-04 08:45:02,163 - mmseg - INFO - Iter [112700/160000] lr: 4.687e-06, eta: 3:08:41, time: 0.200, data_time: 0.006, memory: 52540, decode.loss_ce: 0.1820, decode.acc_seg: 92.4962, loss: 0.1820 +2023-03-04 08:45:11,824 - mmseg - INFO - Iter [112750/160000] lr: 4.687e-06, eta: 3:08:28, time: 0.193, data_time: 0.006, memory: 52540, decode.loss_ce: 0.1818, decode.acc_seg: 92.3989, loss: 0.1818 +2023-03-04 08:45:21,504 - mmseg - INFO - Iter [112800/160000] lr: 4.687e-06, eta: 3:08:15, time: 0.194, data_time: 0.006, memory: 52540, decode.loss_ce: 0.1833, decode.acc_seg: 92.3182, loss: 0.1833 +2023-03-04 08:45:31,043 - mmseg - INFO - Iter [112850/160000] lr: 4.687e-06, eta: 3:08:02, time: 0.191, data_time: 0.006, memory: 52540, decode.loss_ce: 0.1925, decode.acc_seg: 92.1293, loss: 0.1925 +2023-03-04 08:45:40,772 - mmseg - INFO - Iter [112900/160000] lr: 4.687e-06, eta: 3:07:49, time: 0.195, data_time: 0.006, memory: 52540, decode.loss_ce: 0.1897, decode.acc_seg: 92.1076, loss: 0.1897 +2023-03-04 08:45:53,033 - mmseg - INFO - Iter [112950/160000] lr: 4.687e-06, eta: 3:07:38, time: 0.245, data_time: 0.055, memory: 52540, decode.loss_ce: 0.1870, decode.acc_seg: 92.3601, loss: 0.1870 +2023-03-04 08:46:02,861 - mmseg - INFO - Exp name: ablation_segformer_mit_b2_segformer_head_unet_fc_small_multi_step_ade_single_stage.py +2023-03-04 08:46:02,861 - mmseg - INFO - Iter [113000/160000] lr: 4.687e-06, eta: 3:07:25, time: 0.197, data_time: 0.006, memory: 52540, decode.loss_ce: 0.1799, decode.acc_seg: 92.4998, loss: 0.1799 +2023-03-04 08:46:12,380 - mmseg - INFO - Iter [113050/160000] lr: 4.687e-06, eta: 3:07:12, time: 0.190, data_time: 0.006, memory: 52540, decode.loss_ce: 0.1850, decode.acc_seg: 92.4582, loss: 0.1850 +2023-03-04 08:46:21,842 - mmseg - INFO - Iter [113100/160000] lr: 4.687e-06, eta: 3:06:59, time: 0.189, data_time: 0.006, memory: 52540, decode.loss_ce: 0.1886, decode.acc_seg: 92.0923, loss: 0.1886 +2023-03-04 08:46:31,441 - mmseg - INFO - Iter [113150/160000] lr: 4.687e-06, eta: 3:06:46, time: 0.192, data_time: 0.006, memory: 52540, decode.loss_ce: 0.1827, decode.acc_seg: 92.4856, loss: 0.1827 +2023-03-04 08:46:41,004 - mmseg - INFO - Iter [113200/160000] lr: 4.687e-06, eta: 3:06:33, time: 0.191, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1835, decode.acc_seg: 92.3653, loss: 0.1835 +2023-03-04 08:46:50,840 - mmseg - INFO - Iter [113250/160000] lr: 4.687e-06, eta: 3:06:20, time: 0.197, data_time: 0.006, memory: 52540, decode.loss_ce: 0.1798, decode.acc_seg: 92.6021, loss: 0.1798 +2023-03-04 08:47:00,302 - mmseg - INFO - Iter [113300/160000] lr: 4.687e-06, eta: 3:06:07, time: 0.189, data_time: 0.006, memory: 52540, decode.loss_ce: 0.1803, decode.acc_seg: 92.5626, loss: 0.1803 +2023-03-04 08:47:09,872 - mmseg - INFO - Iter [113350/160000] lr: 4.687e-06, eta: 3:05:54, time: 0.191, data_time: 0.006, memory: 52540, decode.loss_ce: 0.1870, decode.acc_seg: 92.2065, loss: 0.1870 +2023-03-04 08:47:19,803 - mmseg - INFO - Iter [113400/160000] lr: 4.687e-06, eta: 3:05:41, time: 0.199, data_time: 0.006, memory: 52540, decode.loss_ce: 0.1774, decode.acc_seg: 92.5625, loss: 0.1774 +2023-03-04 08:47:29,386 - mmseg - INFO - Iter [113450/160000] lr: 4.687e-06, eta: 3:05:28, time: 0.192, data_time: 0.006, memory: 52540, decode.loss_ce: 0.1742, decode.acc_seg: 92.8618, loss: 0.1742 +2023-03-04 08:47:38,966 - mmseg - INFO - Iter [113500/160000] lr: 4.687e-06, eta: 3:05:15, time: 0.192, data_time: 0.006, memory: 52540, decode.loss_ce: 0.1842, decode.acc_seg: 92.3964, loss: 0.1842 +2023-03-04 08:47:49,020 - mmseg - INFO - Iter [113550/160000] lr: 4.687e-06, eta: 3:05:03, time: 0.201, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1819, decode.acc_seg: 92.4901, loss: 0.1819 +2023-03-04 08:48:01,098 - mmseg - INFO - Iter [113600/160000] lr: 4.687e-06, eta: 3:04:51, time: 0.242, data_time: 0.055, memory: 52540, decode.loss_ce: 0.1927, decode.acc_seg: 92.1666, loss: 0.1927 +2023-03-04 08:48:10,712 - mmseg - INFO - Iter [113650/160000] lr: 4.687e-06, eta: 3:04:38, time: 0.192, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1831, decode.acc_seg: 92.4541, loss: 0.1831 +2023-03-04 08:48:20,593 - mmseg - INFO - Iter [113700/160000] lr: 4.687e-06, eta: 3:04:25, time: 0.198, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1849, decode.acc_seg: 92.4994, loss: 0.1849 +2023-03-04 08:48:30,228 - mmseg - INFO - Iter [113750/160000] lr: 4.687e-06, eta: 3:04:12, time: 0.193, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1893, decode.acc_seg: 92.1504, loss: 0.1893 +2023-03-04 08:48:40,156 - mmseg - INFO - Iter [113800/160000] lr: 4.687e-06, eta: 3:03:59, time: 0.199, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1752, decode.acc_seg: 92.7258, loss: 0.1752 +2023-03-04 08:48:49,743 - mmseg - INFO - Iter [113850/160000] lr: 4.687e-06, eta: 3:03:47, time: 0.192, data_time: 0.006, memory: 52540, decode.loss_ce: 0.1796, decode.acc_seg: 92.5457, loss: 0.1796 +2023-03-04 08:48:59,258 - mmseg - INFO - Iter [113900/160000] lr: 4.687e-06, eta: 3:03:34, time: 0.190, data_time: 0.006, memory: 52540, decode.loss_ce: 0.1947, decode.acc_seg: 92.0115, loss: 0.1947 +2023-03-04 08:49:08,841 - mmseg - INFO - Iter [113950/160000] lr: 4.687e-06, eta: 3:03:21, time: 0.192, data_time: 0.006, memory: 52540, decode.loss_ce: 0.1880, decode.acc_seg: 92.2960, loss: 0.1880 +2023-03-04 08:49:18,379 - mmseg - INFO - Exp name: ablation_segformer_mit_b2_segformer_head_unet_fc_small_multi_step_ade_single_stage.py +2023-03-04 08:49:18,379 - mmseg - INFO - Iter [114000/160000] lr: 4.687e-06, eta: 3:03:08, time: 0.191, data_time: 0.006, memory: 52540, decode.loss_ce: 0.1913, decode.acc_seg: 92.2216, loss: 0.1913 +2023-03-04 08:49:27,853 - mmseg - INFO - Iter [114050/160000] lr: 4.687e-06, eta: 3:02:55, time: 0.189, data_time: 0.006, memory: 52540, decode.loss_ce: 0.1874, decode.acc_seg: 92.3322, loss: 0.1874 +2023-03-04 08:49:37,652 - mmseg - INFO - Iter [114100/160000] lr: 4.687e-06, eta: 3:02:42, time: 0.196, data_time: 0.006, memory: 52540, decode.loss_ce: 0.1881, decode.acc_seg: 92.3017, loss: 0.1881 +2023-03-04 08:49:47,457 - mmseg - INFO - Iter [114150/160000] lr: 4.687e-06, eta: 3:02:29, time: 0.196, data_time: 0.006, memory: 52540, decode.loss_ce: 0.1815, decode.acc_seg: 92.4350, loss: 0.1815 +2023-03-04 08:49:57,306 - mmseg - INFO - Iter [114200/160000] lr: 4.687e-06, eta: 3:02:16, time: 0.197, data_time: 0.006, memory: 52540, decode.loss_ce: 0.1814, decode.acc_seg: 92.5631, loss: 0.1814 +2023-03-04 08:50:09,532 - mmseg - INFO - Iter [114250/160000] lr: 4.687e-06, eta: 3:02:05, time: 0.245, data_time: 0.056, memory: 52540, decode.loss_ce: 0.1825, decode.acc_seg: 92.3942, loss: 0.1825 +2023-03-04 08:50:19,096 - mmseg - INFO - Iter [114300/160000] lr: 4.687e-06, eta: 3:01:52, time: 0.191, data_time: 0.006, memory: 52540, decode.loss_ce: 0.1789, decode.acc_seg: 92.5332, loss: 0.1789 +2023-03-04 08:50:28,764 - mmseg - INFO - Iter [114350/160000] lr: 4.687e-06, eta: 3:01:39, time: 0.193, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1776, decode.acc_seg: 92.7198, loss: 0.1776 +2023-03-04 08:50:38,284 - mmseg - INFO - Iter [114400/160000] lr: 4.687e-06, eta: 3:01:26, time: 0.190, data_time: 0.006, memory: 52540, decode.loss_ce: 0.1799, decode.acc_seg: 92.5639, loss: 0.1799 +2023-03-04 08:50:48,111 - mmseg - INFO - Iter [114450/160000] lr: 4.687e-06, eta: 3:01:13, time: 0.197, data_time: 0.006, memory: 52540, decode.loss_ce: 0.1817, decode.acc_seg: 92.4784, loss: 0.1817 +2023-03-04 08:50:58,214 - mmseg - INFO - Iter [114500/160000] lr: 4.687e-06, eta: 3:01:01, time: 0.202, data_time: 0.006, memory: 52540, decode.loss_ce: 0.1901, decode.acc_seg: 92.0497, loss: 0.1901 +2023-03-04 08:51:08,138 - mmseg - INFO - Iter [114550/160000] lr: 4.687e-06, eta: 3:00:48, time: 0.198, data_time: 0.006, memory: 52540, decode.loss_ce: 0.1838, decode.acc_seg: 92.4493, loss: 0.1838 +2023-03-04 08:51:17,718 - mmseg - INFO - Iter [114600/160000] lr: 4.687e-06, eta: 3:00:35, time: 0.192, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1857, decode.acc_seg: 92.3924, loss: 0.1857 +2023-03-04 08:51:27,380 - mmseg - INFO - Iter [114650/160000] lr: 4.687e-06, eta: 3:00:22, time: 0.193, data_time: 0.006, memory: 52540, decode.loss_ce: 0.1788, decode.acc_seg: 92.6607, loss: 0.1788 +2023-03-04 08:51:36,977 - mmseg - INFO - Iter [114700/160000] lr: 4.687e-06, eta: 3:00:09, time: 0.192, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1782, decode.acc_seg: 92.6175, loss: 0.1782 +2023-03-04 08:51:46,731 - mmseg - INFO - Iter [114750/160000] lr: 4.687e-06, eta: 2:59:56, time: 0.195, data_time: 0.006, memory: 52540, decode.loss_ce: 0.1930, decode.acc_seg: 92.2638, loss: 0.1930 +2023-03-04 08:51:56,619 - mmseg - INFO - Iter [114800/160000] lr: 4.687e-06, eta: 2:59:44, time: 0.198, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1917, decode.acc_seg: 92.1493, loss: 0.1917 +2023-03-04 08:52:08,974 - mmseg - INFO - Iter [114850/160000] lr: 4.687e-06, eta: 2:59:32, time: 0.247, data_time: 0.051, memory: 52540, decode.loss_ce: 0.1846, decode.acc_seg: 92.2767, loss: 0.1846 +2023-03-04 08:52:18,626 - mmseg - INFO - Iter [114900/160000] lr: 4.687e-06, eta: 2:59:19, time: 0.193, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1817, decode.acc_seg: 92.5117, loss: 0.1817 +2023-03-04 08:52:28,272 - mmseg - INFO - Iter [114950/160000] lr: 4.687e-06, eta: 2:59:06, time: 0.193, data_time: 0.006, memory: 52540, decode.loss_ce: 0.1785, decode.acc_seg: 92.6892, loss: 0.1785 +2023-03-04 08:52:37,959 - mmseg - INFO - Exp name: ablation_segformer_mit_b2_segformer_head_unet_fc_small_multi_step_ade_single_stage.py +2023-03-04 08:52:37,959 - mmseg - INFO - Iter [115000/160000] lr: 4.687e-06, eta: 2:58:54, time: 0.194, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1857, decode.acc_seg: 92.4912, loss: 0.1857 +2023-03-04 08:52:47,413 - mmseg - INFO - Iter [115050/160000] lr: 4.687e-06, eta: 2:58:41, time: 0.189, data_time: 0.006, memory: 52540, decode.loss_ce: 0.1867, decode.acc_seg: 92.4436, loss: 0.1867 +2023-03-04 08:52:57,322 - mmseg - INFO - Iter [115100/160000] lr: 4.687e-06, eta: 2:58:28, time: 0.198, data_time: 0.006, memory: 52540, decode.loss_ce: 0.1822, decode.acc_seg: 92.5358, loss: 0.1822 +2023-03-04 08:53:06,959 - mmseg - INFO - Iter [115150/160000] lr: 4.687e-06, eta: 2:58:15, time: 0.193, data_time: 0.006, memory: 52540, decode.loss_ce: 0.1827, decode.acc_seg: 92.4249, loss: 0.1827 +2023-03-04 08:53:16,517 - mmseg - INFO - Iter [115200/160000] lr: 4.687e-06, eta: 2:58:02, time: 0.191, data_time: 0.006, memory: 52540, decode.loss_ce: 0.1855, decode.acc_seg: 92.4841, loss: 0.1855 +2023-03-04 08:53:26,243 - mmseg - INFO - Iter [115250/160000] lr: 4.687e-06, eta: 2:57:49, time: 0.195, data_time: 0.006, memory: 52540, decode.loss_ce: 0.1863, decode.acc_seg: 92.3734, loss: 0.1863 +2023-03-04 08:53:36,109 - mmseg - INFO - Iter [115300/160000] lr: 4.687e-06, eta: 2:57:37, time: 0.197, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1764, decode.acc_seg: 92.6871, loss: 0.1764 +2023-03-04 08:53:45,739 - mmseg - INFO - Iter [115350/160000] lr: 4.687e-06, eta: 2:57:24, time: 0.193, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1843, decode.acc_seg: 92.2769, loss: 0.1843 +2023-03-04 08:53:55,454 - mmseg - INFO - Iter [115400/160000] lr: 4.687e-06, eta: 2:57:11, time: 0.194, data_time: 0.006, memory: 52540, decode.loss_ce: 0.1864, decode.acc_seg: 92.2248, loss: 0.1864 +2023-03-04 08:54:05,030 - mmseg - INFO - Iter [115450/160000] lr: 4.687e-06, eta: 2:56:58, time: 0.191, data_time: 0.006, memory: 52540, decode.loss_ce: 0.1818, decode.acc_seg: 92.4199, loss: 0.1818 +2023-03-04 08:54:17,376 - mmseg - INFO - Iter [115500/160000] lr: 4.687e-06, eta: 2:56:47, time: 0.247, data_time: 0.057, memory: 52540, decode.loss_ce: 0.1827, decode.acc_seg: 92.5037, loss: 0.1827 +2023-03-04 08:54:26,973 - mmseg - INFO - Iter [115550/160000] lr: 4.687e-06, eta: 2:56:34, time: 0.192, data_time: 0.006, memory: 52540, decode.loss_ce: 0.1851, decode.acc_seg: 92.3579, loss: 0.1851 +2023-03-04 08:54:36,651 - mmseg - INFO - Iter [115600/160000] lr: 4.687e-06, eta: 2:56:21, time: 0.194, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1865, decode.acc_seg: 92.3793, loss: 0.1865 +2023-03-04 08:54:46,239 - mmseg - INFO - Iter [115650/160000] lr: 4.687e-06, eta: 2:56:08, time: 0.192, data_time: 0.006, memory: 52540, decode.loss_ce: 0.1820, decode.acc_seg: 92.5306, loss: 0.1820 +2023-03-04 08:54:55,933 - mmseg - INFO - Iter [115700/160000] lr: 4.687e-06, eta: 2:55:55, time: 0.194, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1908, decode.acc_seg: 92.2537, loss: 0.1908 +2023-03-04 08:55:05,703 - mmseg - INFO - Iter [115750/160000] lr: 4.687e-06, eta: 2:55:43, time: 0.195, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1791, decode.acc_seg: 92.6107, loss: 0.1791 +2023-03-04 08:55:15,440 - mmseg - INFO - Iter [115800/160000] lr: 4.687e-06, eta: 2:55:30, time: 0.195, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1870, decode.acc_seg: 92.2498, loss: 0.1870 +2023-03-04 08:55:24,997 - mmseg - INFO - Iter [115850/160000] lr: 4.687e-06, eta: 2:55:17, time: 0.191, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1802, decode.acc_seg: 92.6517, loss: 0.1802 +2023-03-04 08:55:34,628 - mmseg - INFO - Iter [115900/160000] lr: 4.687e-06, eta: 2:55:04, time: 0.193, data_time: 0.006, memory: 52540, decode.loss_ce: 0.1870, decode.acc_seg: 92.3708, loss: 0.1870 +2023-03-04 08:55:44,401 - mmseg - INFO - Iter [115950/160000] lr: 4.687e-06, eta: 2:54:52, time: 0.195, data_time: 0.006, memory: 52540, decode.loss_ce: 0.1881, decode.acc_seg: 92.1858, loss: 0.1881 +2023-03-04 08:55:53,837 - mmseg - INFO - Exp name: ablation_segformer_mit_b2_segformer_head_unet_fc_small_multi_step_ade_single_stage.py +2023-03-04 08:55:53,837 - mmseg - INFO - Iter [116000/160000] lr: 4.687e-06, eta: 2:54:39, time: 0.189, data_time: 0.006, memory: 52540, decode.loss_ce: 0.1787, decode.acc_seg: 92.7401, loss: 0.1787 +2023-03-04 08:56:03,621 - mmseg - INFO - Iter [116050/160000] lr: 4.687e-06, eta: 2:54:26, time: 0.196, data_time: 0.006, memory: 52540, decode.loss_ce: 0.1788, decode.acc_seg: 92.5013, loss: 0.1788 +2023-03-04 08:56:13,320 - mmseg - INFO - Iter [116100/160000] lr: 4.687e-06, eta: 2:54:13, time: 0.194, data_time: 0.006, memory: 52540, decode.loss_ce: 0.1822, decode.acc_seg: 92.4100, loss: 0.1822 +2023-03-04 08:56:25,357 - mmseg - INFO - Iter [116150/160000] lr: 4.687e-06, eta: 2:54:01, time: 0.241, data_time: 0.055, memory: 52540, decode.loss_ce: 0.1851, decode.acc_seg: 92.3220, loss: 0.1851 +2023-03-04 08:56:34,852 - mmseg - INFO - Iter [116200/160000] lr: 4.687e-06, eta: 2:53:49, time: 0.190, data_time: 0.006, memory: 52540, decode.loss_ce: 0.1887, decode.acc_seg: 92.5012, loss: 0.1887 +2023-03-04 08:56:44,438 - mmseg - INFO - Iter [116250/160000] lr: 4.687e-06, eta: 2:53:36, time: 0.192, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1844, decode.acc_seg: 92.4334, loss: 0.1844 +2023-03-04 08:56:53,923 - mmseg - INFO - Iter [116300/160000] lr: 4.687e-06, eta: 2:53:23, time: 0.190, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1868, decode.acc_seg: 92.3976, loss: 0.1868 +2023-03-04 08:57:03,564 - mmseg - INFO - Iter [116350/160000] lr: 4.687e-06, eta: 2:53:10, time: 0.193, data_time: 0.006, memory: 52540, decode.loss_ce: 0.1903, decode.acc_seg: 92.3081, loss: 0.1903 +2023-03-04 08:57:13,499 - mmseg - INFO - Iter [116400/160000] lr: 4.687e-06, eta: 2:52:58, time: 0.199, data_time: 0.006, memory: 52540, decode.loss_ce: 0.1849, decode.acc_seg: 92.4830, loss: 0.1849 +2023-03-04 08:57:23,351 - mmseg - INFO - Iter [116450/160000] lr: 4.687e-06, eta: 2:52:45, time: 0.197, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1799, decode.acc_seg: 92.5613, loss: 0.1799 +2023-03-04 08:57:33,079 - mmseg - INFO - Iter [116500/160000] lr: 4.687e-06, eta: 2:52:32, time: 0.195, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1869, decode.acc_seg: 92.3675, loss: 0.1869 +2023-03-04 08:57:42,960 - mmseg - INFO - Iter [116550/160000] lr: 4.687e-06, eta: 2:52:20, time: 0.198, data_time: 0.006, memory: 52540, decode.loss_ce: 0.1850, decode.acc_seg: 92.4159, loss: 0.1850 +2023-03-04 08:57:52,507 - mmseg - INFO - Iter [116600/160000] lr: 4.687e-06, eta: 2:52:07, time: 0.191, data_time: 0.006, memory: 52540, decode.loss_ce: 0.1886, decode.acc_seg: 92.3114, loss: 0.1886 +2023-03-04 08:58:02,469 - mmseg - INFO - Iter [116650/160000] lr: 4.687e-06, eta: 2:51:54, time: 0.199, data_time: 0.006, memory: 52540, decode.loss_ce: 0.1804, decode.acc_seg: 92.5165, loss: 0.1804 +2023-03-04 08:58:12,462 - mmseg - INFO - Iter [116700/160000] lr: 4.687e-06, eta: 2:51:42, time: 0.200, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1844, decode.acc_seg: 92.3372, loss: 0.1844 +2023-03-04 08:58:24,760 - mmseg - INFO - Iter [116750/160000] lr: 4.687e-06, eta: 2:51:30, time: 0.246, data_time: 0.054, memory: 52540, decode.loss_ce: 0.1880, decode.acc_seg: 92.2468, loss: 0.1880 +2023-03-04 08:58:34,270 - mmseg - INFO - Iter [116800/160000] lr: 4.687e-06, eta: 2:51:17, time: 0.190, data_time: 0.006, memory: 52540, decode.loss_ce: 0.1829, decode.acc_seg: 92.4092, loss: 0.1829 +2023-03-04 08:58:43,999 - mmseg - INFO - Iter [116850/160000] lr: 4.687e-06, eta: 2:51:04, time: 0.195, data_time: 0.006, memory: 52540, decode.loss_ce: 0.1813, decode.acc_seg: 92.4800, loss: 0.1813 +2023-03-04 08:58:53,549 - mmseg - INFO - Iter [116900/160000] lr: 4.687e-06, eta: 2:50:52, time: 0.191, data_time: 0.006, memory: 52540, decode.loss_ce: 0.1864, decode.acc_seg: 92.3197, loss: 0.1864 +2023-03-04 08:59:03,023 - mmseg - INFO - Iter [116950/160000] lr: 4.687e-06, eta: 2:50:39, time: 0.189, data_time: 0.006, memory: 52540, decode.loss_ce: 0.1811, decode.acc_seg: 92.4305, loss: 0.1811 +2023-03-04 08:59:13,069 - mmseg - INFO - Exp name: ablation_segformer_mit_b2_segformer_head_unet_fc_small_multi_step_ade_single_stage.py +2023-03-04 08:59:13,069 - mmseg - INFO - Iter [117000/160000] lr: 4.687e-06, eta: 2:50:26, time: 0.201, data_time: 0.006, memory: 52540, decode.loss_ce: 0.1861, decode.acc_seg: 92.3149, loss: 0.1861 +2023-03-04 08:59:22,643 - mmseg - INFO - Iter [117050/160000] lr: 4.687e-06, eta: 2:50:14, time: 0.192, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1824, decode.acc_seg: 92.5318, loss: 0.1824 +2023-03-04 08:59:32,145 - mmseg - INFO - Iter [117100/160000] lr: 4.687e-06, eta: 2:50:01, time: 0.190, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1879, decode.acc_seg: 92.2424, loss: 0.1879 +2023-03-04 08:59:41,759 - mmseg - INFO - Iter [117150/160000] lr: 4.687e-06, eta: 2:49:48, time: 0.192, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1873, decode.acc_seg: 92.3472, loss: 0.1873 +2023-03-04 08:59:51,508 - mmseg - INFO - Iter [117200/160000] lr: 4.687e-06, eta: 2:49:35, time: 0.195, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1854, decode.acc_seg: 92.4074, loss: 0.1854 +2023-03-04 09:00:00,925 - mmseg - INFO - Iter [117250/160000] lr: 4.687e-06, eta: 2:49:23, time: 0.188, data_time: 0.006, memory: 52540, decode.loss_ce: 0.1878, decode.acc_seg: 92.3137, loss: 0.1878 +2023-03-04 09:00:10,433 - mmseg - INFO - Iter [117300/160000] lr: 4.687e-06, eta: 2:49:10, time: 0.190, data_time: 0.006, memory: 52540, decode.loss_ce: 0.1819, decode.acc_seg: 92.5212, loss: 0.1819 +2023-03-04 09:00:20,116 - mmseg - INFO - Iter [117350/160000] lr: 4.687e-06, eta: 2:48:57, time: 0.194, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1765, decode.acc_seg: 92.7242, loss: 0.1765 +2023-03-04 09:00:32,187 - mmseg - INFO - Iter [117400/160000] lr: 4.687e-06, eta: 2:48:45, time: 0.241, data_time: 0.053, memory: 52540, decode.loss_ce: 0.1899, decode.acc_seg: 92.3169, loss: 0.1899 +2023-03-04 09:00:41,743 - mmseg - INFO - Iter [117450/160000] lr: 4.687e-06, eta: 2:48:33, time: 0.191, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1859, decode.acc_seg: 92.2920, loss: 0.1859 +2023-03-04 09:00:51,474 - mmseg - INFO - Iter [117500/160000] lr: 4.687e-06, eta: 2:48:20, time: 0.195, data_time: 0.006, memory: 52540, decode.loss_ce: 0.1817, decode.acc_seg: 92.5887, loss: 0.1817 +2023-03-04 09:01:01,321 - mmseg - INFO - Iter [117550/160000] lr: 4.687e-06, eta: 2:48:07, time: 0.197, data_time: 0.006, memory: 52540, decode.loss_ce: 0.1815, decode.acc_seg: 92.6062, loss: 0.1815 +2023-03-04 09:01:11,029 - mmseg - INFO - Iter [117600/160000] lr: 4.687e-06, eta: 2:47:55, time: 0.194, data_time: 0.006, memory: 52540, decode.loss_ce: 0.1816, decode.acc_seg: 92.7139, loss: 0.1816 +2023-03-04 09:01:20,472 - mmseg - INFO - Iter [117650/160000] lr: 4.687e-06, eta: 2:47:42, time: 0.189, data_time: 0.006, memory: 52540, decode.loss_ce: 0.1849, decode.acc_seg: 92.4129, loss: 0.1849 +2023-03-04 09:01:30,147 - mmseg - INFO - Iter [117700/160000] lr: 4.687e-06, eta: 2:47:29, time: 0.193, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1816, decode.acc_seg: 92.4033, loss: 0.1816 +2023-03-04 09:01:39,925 - mmseg - INFO - Iter [117750/160000] lr: 4.687e-06, eta: 2:47:17, time: 0.196, data_time: 0.006, memory: 52540, decode.loss_ce: 0.1841, decode.acc_seg: 92.5869, loss: 0.1841 +2023-03-04 09:01:49,700 - mmseg - INFO - Iter [117800/160000] lr: 4.687e-06, eta: 2:47:04, time: 0.195, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1858, decode.acc_seg: 92.2425, loss: 0.1858 +2023-03-04 09:01:59,298 - mmseg - INFO - Iter [117850/160000] lr: 4.687e-06, eta: 2:46:51, time: 0.192, data_time: 0.006, memory: 52540, decode.loss_ce: 0.1873, decode.acc_seg: 92.3539, loss: 0.1873 +2023-03-04 09:02:09,098 - mmseg - INFO - Iter [117900/160000] lr: 4.687e-06, eta: 2:46:39, time: 0.196, data_time: 0.006, memory: 52540, decode.loss_ce: 0.1858, decode.acc_seg: 92.3840, loss: 0.1858 +2023-03-04 09:02:18,994 - mmseg - INFO - Iter [117950/160000] lr: 4.687e-06, eta: 2:46:26, time: 0.198, data_time: 0.006, memory: 52540, decode.loss_ce: 0.1873, decode.acc_seg: 92.3143, loss: 0.1873 +2023-03-04 09:02:31,428 - mmseg - INFO - Exp name: ablation_segformer_mit_b2_segformer_head_unet_fc_small_multi_step_ade_single_stage.py +2023-03-04 09:02:31,428 - mmseg - INFO - Iter [118000/160000] lr: 4.687e-06, eta: 2:46:14, time: 0.249, data_time: 0.057, memory: 52540, decode.loss_ce: 0.1889, decode.acc_seg: 92.3063, loss: 0.1889 +2023-03-04 09:02:41,099 - mmseg - INFO - Iter [118050/160000] lr: 4.687e-06, eta: 2:46:02, time: 0.193, data_time: 0.006, memory: 52540, decode.loss_ce: 0.1853, decode.acc_seg: 92.5408, loss: 0.1853 +2023-03-04 09:02:50,767 - mmseg - INFO - Iter [118100/160000] lr: 4.687e-06, eta: 2:45:49, time: 0.193, data_time: 0.006, memory: 52540, decode.loss_ce: 0.1852, decode.acc_seg: 92.3829, loss: 0.1852 +2023-03-04 09:03:00,345 - mmseg - INFO - Iter [118150/160000] lr: 4.687e-06, eta: 2:45:36, time: 0.192, data_time: 0.006, memory: 52540, decode.loss_ce: 0.1866, decode.acc_seg: 92.4356, loss: 0.1866 +2023-03-04 09:03:10,160 - mmseg - INFO - Iter [118200/160000] lr: 4.687e-06, eta: 2:45:24, time: 0.196, data_time: 0.006, memory: 52540, decode.loss_ce: 0.1924, decode.acc_seg: 92.0573, loss: 0.1924 +2023-03-04 09:03:20,039 - mmseg - INFO - Iter [118250/160000] lr: 4.687e-06, eta: 2:45:11, time: 0.198, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1845, decode.acc_seg: 92.4611, loss: 0.1845 +2023-03-04 09:03:29,542 - mmseg - INFO - Iter [118300/160000] lr: 4.687e-06, eta: 2:44:59, time: 0.190, data_time: 0.006, memory: 52540, decode.loss_ce: 0.1848, decode.acc_seg: 92.4559, loss: 0.1848 +2023-03-04 09:03:39,262 - mmseg - INFO - Iter [118350/160000] lr: 4.687e-06, eta: 2:44:46, time: 0.194, data_time: 0.006, memory: 52540, decode.loss_ce: 0.1796, decode.acc_seg: 92.6860, loss: 0.1796 +2023-03-04 09:03:48,885 - mmseg - INFO - Iter [118400/160000] lr: 4.687e-06, eta: 2:44:33, time: 0.192, data_time: 0.006, memory: 52540, decode.loss_ce: 0.1807, decode.acc_seg: 92.6891, loss: 0.1807 +2023-03-04 09:03:58,379 - mmseg - INFO - Iter [118450/160000] lr: 4.687e-06, eta: 2:44:21, time: 0.190, data_time: 0.006, memory: 52540, decode.loss_ce: 0.1861, decode.acc_seg: 92.2401, loss: 0.1861 +2023-03-04 09:04:08,407 - mmseg - INFO - Iter [118500/160000] lr: 4.687e-06, eta: 2:44:08, time: 0.200, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1755, decode.acc_seg: 92.5804, loss: 0.1755 +2023-03-04 09:04:18,688 - mmseg - INFO - Iter [118550/160000] lr: 4.687e-06, eta: 2:43:56, time: 0.206, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1887, decode.acc_seg: 92.3432, loss: 0.1887 +2023-03-04 09:04:28,230 - mmseg - INFO - Iter [118600/160000] lr: 4.687e-06, eta: 2:43:43, time: 0.191, data_time: 0.006, memory: 52540, decode.loss_ce: 0.1911, decode.acc_seg: 92.1967, loss: 0.1911 +2023-03-04 09:04:40,257 - mmseg - INFO - Iter [118650/160000] lr: 4.687e-06, eta: 2:43:31, time: 0.241, data_time: 0.053, memory: 52540, decode.loss_ce: 0.1846, decode.acc_seg: 92.3924, loss: 0.1846 +2023-03-04 09:04:49,833 - mmseg - INFO - Iter [118700/160000] lr: 4.687e-06, eta: 2:43:18, time: 0.192, data_time: 0.006, memory: 52540, decode.loss_ce: 0.1850, decode.acc_seg: 92.3874, loss: 0.1850 +2023-03-04 09:04:59,553 - mmseg - INFO - Iter [118750/160000] lr: 4.687e-06, eta: 2:43:06, time: 0.194, data_time: 0.006, memory: 52540, decode.loss_ce: 0.1888, decode.acc_seg: 92.1600, loss: 0.1888 +2023-03-04 09:05:09,248 - mmseg - INFO - Iter [118800/160000] lr: 4.687e-06, eta: 2:42:53, time: 0.194, data_time: 0.006, memory: 52540, decode.loss_ce: 0.1887, decode.acc_seg: 92.3896, loss: 0.1887 +2023-03-04 09:05:19,281 - mmseg - INFO - Iter [118850/160000] lr: 4.687e-06, eta: 2:42:41, time: 0.201, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1884, decode.acc_seg: 92.3174, loss: 0.1884 +2023-03-04 09:05:29,034 - mmseg - INFO - Iter [118900/160000] lr: 4.687e-06, eta: 2:42:28, time: 0.195, data_time: 0.006, memory: 52540, decode.loss_ce: 0.1847, decode.acc_seg: 92.4597, loss: 0.1847 +2023-03-04 09:05:38,473 - mmseg - INFO - Iter [118950/160000] lr: 4.687e-06, eta: 2:42:15, time: 0.189, data_time: 0.006, memory: 52540, decode.loss_ce: 0.1870, decode.acc_seg: 92.3500, loss: 0.1870 +2023-03-04 09:05:48,628 - mmseg - INFO - Exp name: ablation_segformer_mit_b2_segformer_head_unet_fc_small_multi_step_ade_single_stage.py +2023-03-04 09:05:48,628 - mmseg - INFO - Iter [119000/160000] lr: 4.687e-06, eta: 2:42:03, time: 0.203, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1898, decode.acc_seg: 92.1094, loss: 0.1898 +2023-03-04 09:05:58,570 - mmseg - INFO - Iter [119050/160000] lr: 4.687e-06, eta: 2:41:51, time: 0.199, data_time: 0.006, memory: 52540, decode.loss_ce: 0.1765, decode.acc_seg: 92.6582, loss: 0.1765 +2023-03-04 09:06:08,312 - mmseg - INFO - Iter [119100/160000] lr: 4.687e-06, eta: 2:41:38, time: 0.195, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1808, decode.acc_seg: 92.6570, loss: 0.1808 +2023-03-04 09:06:17,871 - mmseg - INFO - Iter [119150/160000] lr: 4.687e-06, eta: 2:41:25, time: 0.191, data_time: 0.006, memory: 52540, decode.loss_ce: 0.1789, decode.acc_seg: 92.6052, loss: 0.1789 +2023-03-04 09:06:27,527 - mmseg - INFO - Iter [119200/160000] lr: 4.687e-06, eta: 2:41:13, time: 0.193, data_time: 0.006, memory: 52540, decode.loss_ce: 0.1881, decode.acc_seg: 92.2590, loss: 0.1881 +2023-03-04 09:06:37,176 - mmseg - INFO - Iter [119250/160000] lr: 4.687e-06, eta: 2:41:00, time: 0.193, data_time: 0.006, memory: 52540, decode.loss_ce: 0.1831, decode.acc_seg: 92.3065, loss: 0.1831 +2023-03-04 09:06:49,353 - mmseg - INFO - Iter [119300/160000] lr: 4.687e-06, eta: 2:40:48, time: 0.244, data_time: 0.054, memory: 52540, decode.loss_ce: 0.1881, decode.acc_seg: 92.2421, loss: 0.1881 +2023-03-04 09:06:58,906 - mmseg - INFO - Iter [119350/160000] lr: 4.687e-06, eta: 2:40:36, time: 0.191, data_time: 0.006, memory: 52540, decode.loss_ce: 0.1897, decode.acc_seg: 92.2729, loss: 0.1897 +2023-03-04 09:07:08,451 - mmseg - INFO - Iter [119400/160000] lr: 4.687e-06, eta: 2:40:23, time: 0.191, data_time: 0.006, memory: 52540, decode.loss_ce: 0.1867, decode.acc_seg: 92.3616, loss: 0.1867 +2023-03-04 09:07:18,326 - mmseg - INFO - Iter [119450/160000] lr: 4.687e-06, eta: 2:40:11, time: 0.197, data_time: 0.006, memory: 52540, decode.loss_ce: 0.1803, decode.acc_seg: 92.6236, loss: 0.1803 +2023-03-04 09:07:28,045 - mmseg - INFO - Iter [119500/160000] lr: 4.687e-06, eta: 2:39:58, time: 0.194, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1744, decode.acc_seg: 92.7160, loss: 0.1744 +2023-03-04 09:07:37,534 - mmseg - INFO - Iter [119550/160000] lr: 4.687e-06, eta: 2:39:45, time: 0.190, data_time: 0.006, memory: 52540, decode.loss_ce: 0.1888, decode.acc_seg: 92.2287, loss: 0.1888 +2023-03-04 09:07:47,099 - mmseg - INFO - Iter [119600/160000] lr: 4.687e-06, eta: 2:39:33, time: 0.191, data_time: 0.006, memory: 52540, decode.loss_ce: 0.1829, decode.acc_seg: 92.3260, loss: 0.1829 +2023-03-04 09:07:56,874 - mmseg - INFO - Iter [119650/160000] lr: 4.687e-06, eta: 2:39:20, time: 0.195, data_time: 0.006, memory: 52540, decode.loss_ce: 0.1794, decode.acc_seg: 92.7351, loss: 0.1794 +2023-03-04 09:08:06,381 - mmseg - INFO - Iter [119700/160000] lr: 4.687e-06, eta: 2:39:08, time: 0.190, data_time: 0.006, memory: 52540, decode.loss_ce: 0.1850, decode.acc_seg: 92.2374, loss: 0.1850 +2023-03-04 09:08:15,952 - mmseg - INFO - Iter [119750/160000] lr: 4.687e-06, eta: 2:38:55, time: 0.191, data_time: 0.006, memory: 52540, decode.loss_ce: 0.1878, decode.acc_seg: 92.2248, loss: 0.1878 +2023-03-04 09:08:25,410 - mmseg - INFO - Iter [119800/160000] lr: 4.687e-06, eta: 2:38:42, time: 0.189, data_time: 0.006, memory: 52540, decode.loss_ce: 0.1800, decode.acc_seg: 92.5872, loss: 0.1800 +2023-03-04 09:08:34,964 - mmseg - INFO - Iter [119850/160000] lr: 4.687e-06, eta: 2:38:30, time: 0.191, data_time: 0.006, memory: 52540, decode.loss_ce: 0.1844, decode.acc_seg: 92.2931, loss: 0.1844 +2023-03-04 09:08:47,028 - mmseg - INFO - Iter [119900/160000] lr: 4.687e-06, eta: 2:38:18, time: 0.241, data_time: 0.054, memory: 52540, decode.loss_ce: 0.1853, decode.acc_seg: 92.2991, loss: 0.1853 +2023-03-04 09:08:56,532 - mmseg - INFO - Iter [119950/160000] lr: 4.687e-06, eta: 2:38:05, time: 0.190, data_time: 0.006, memory: 52540, decode.loss_ce: 0.1858, decode.acc_seg: 92.2951, loss: 0.1858 +2023-03-04 09:09:06,335 - mmseg - INFO - Exp name: ablation_segformer_mit_b2_segformer_head_unet_fc_small_multi_step_ade_single_stage.py +2023-03-04 09:09:06,335 - mmseg - INFO - Iter [120000/160000] lr: 4.687e-06, eta: 2:37:53, time: 0.196, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1780, decode.acc_seg: 92.6726, loss: 0.1780 +2023-03-04 09:09:15,892 - mmseg - INFO - Iter [120050/160000] lr: 2.344e-06, eta: 2:37:40, time: 0.191, data_time: 0.006, memory: 52540, decode.loss_ce: 0.1843, decode.acc_seg: 92.5025, loss: 0.1843 +2023-03-04 09:09:25,605 - mmseg - INFO - Iter [120100/160000] lr: 2.344e-06, eta: 2:37:28, time: 0.194, data_time: 0.006, memory: 52540, decode.loss_ce: 0.1856, decode.acc_seg: 92.3530, loss: 0.1856 +2023-03-04 09:09:35,193 - mmseg - INFO - Iter [120150/160000] lr: 2.344e-06, eta: 2:37:15, time: 0.192, data_time: 0.006, memory: 52540, decode.loss_ce: 0.1887, decode.acc_seg: 92.2402, loss: 0.1887 +2023-03-04 09:09:44,992 - mmseg - INFO - Iter [120200/160000] lr: 2.344e-06, eta: 2:37:02, time: 0.196, data_time: 0.006, memory: 52540, decode.loss_ce: 0.1859, decode.acc_seg: 92.3547, loss: 0.1859 +2023-03-04 09:09:54,696 - mmseg - INFO - Iter [120250/160000] lr: 2.344e-06, eta: 2:36:50, time: 0.194, data_time: 0.006, memory: 52540, decode.loss_ce: 0.1786, decode.acc_seg: 92.6022, loss: 0.1786 +2023-03-04 09:10:04,470 - mmseg - INFO - Iter [120300/160000] lr: 2.344e-06, eta: 2:36:37, time: 0.195, data_time: 0.006, memory: 52540, decode.loss_ce: 0.1845, decode.acc_seg: 92.4786, loss: 0.1845 +2023-03-04 09:10:14,141 - mmseg - INFO - Iter [120350/160000] lr: 2.344e-06, eta: 2:36:25, time: 0.194, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1900, decode.acc_seg: 92.1903, loss: 0.1900 +2023-03-04 09:10:23,620 - mmseg - INFO - Iter [120400/160000] lr: 2.344e-06, eta: 2:36:12, time: 0.190, data_time: 0.006, memory: 52540, decode.loss_ce: 0.1873, decode.acc_seg: 92.4423, loss: 0.1873 +2023-03-04 09:10:33,118 - mmseg - INFO - Iter [120450/160000] lr: 2.344e-06, eta: 2:36:00, time: 0.190, data_time: 0.006, memory: 52540, decode.loss_ce: 0.1837, decode.acc_seg: 92.4774, loss: 0.1837 +2023-03-04 09:10:42,828 - mmseg - INFO - Iter [120500/160000] lr: 2.344e-06, eta: 2:35:47, time: 0.194, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1873, decode.acc_seg: 92.3604, loss: 0.1873 +2023-03-04 09:10:54,814 - mmseg - INFO - Iter [120550/160000] lr: 2.344e-06, eta: 2:35:35, time: 0.240, data_time: 0.054, memory: 52540, decode.loss_ce: 0.1802, decode.acc_seg: 92.5499, loss: 0.1802 +2023-03-04 09:11:04,541 - mmseg - INFO - Iter [120600/160000] lr: 2.344e-06, eta: 2:35:23, time: 0.195, data_time: 0.006, memory: 52540, decode.loss_ce: 0.1801, decode.acc_seg: 92.6055, loss: 0.1801 +2023-03-04 09:11:14,179 - mmseg - INFO - Iter [120650/160000] lr: 2.344e-06, eta: 2:35:10, time: 0.193, data_time: 0.006, memory: 52540, decode.loss_ce: 0.1825, decode.acc_seg: 92.5588, loss: 0.1825 +2023-03-04 09:11:23,952 - mmseg - INFO - Iter [120700/160000] lr: 2.344e-06, eta: 2:34:58, time: 0.195, data_time: 0.006, memory: 52540, decode.loss_ce: 0.1826, decode.acc_seg: 92.4586, loss: 0.1826 +2023-03-04 09:11:33,570 - mmseg - INFO - Iter [120750/160000] lr: 2.344e-06, eta: 2:34:45, time: 0.192, data_time: 0.006, memory: 52540, decode.loss_ce: 0.1834, decode.acc_seg: 92.4769, loss: 0.1834 +2023-03-04 09:11:43,208 - mmseg - INFO - Iter [120800/160000] lr: 2.344e-06, eta: 2:34:33, time: 0.193, data_time: 0.006, memory: 52540, decode.loss_ce: 0.1876, decode.acc_seg: 92.2945, loss: 0.1876 +2023-03-04 09:11:53,057 - mmseg - INFO - Iter [120850/160000] lr: 2.344e-06, eta: 2:34:20, time: 0.197, data_time: 0.006, memory: 52540, decode.loss_ce: 0.1903, decode.acc_seg: 92.1099, loss: 0.1903 +2023-03-04 09:12:02,698 - mmseg - INFO - Iter [120900/160000] lr: 2.344e-06, eta: 2:34:08, time: 0.193, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1911, decode.acc_seg: 92.0630, loss: 0.1911 +2023-03-04 09:12:12,371 - mmseg - INFO - Iter [120950/160000] lr: 2.344e-06, eta: 2:33:55, time: 0.193, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1890, decode.acc_seg: 92.2704, loss: 0.1890 +2023-03-04 09:12:21,966 - mmseg - INFO - Exp name: ablation_segformer_mit_b2_segformer_head_unet_fc_small_multi_step_ade_single_stage.py +2023-03-04 09:12:21,967 - mmseg - INFO - Iter [121000/160000] lr: 2.344e-06, eta: 2:33:43, time: 0.192, data_time: 0.006, memory: 52540, decode.loss_ce: 0.1888, decode.acc_seg: 92.3403, loss: 0.1888 +2023-03-04 09:12:31,763 - mmseg - INFO - Iter [121050/160000] lr: 2.344e-06, eta: 2:33:30, time: 0.196, data_time: 0.006, memory: 52540, decode.loss_ce: 0.1890, decode.acc_seg: 92.2775, loss: 0.1890 +2023-03-04 09:12:41,208 - mmseg - INFO - Iter [121100/160000] lr: 2.344e-06, eta: 2:33:18, time: 0.189, data_time: 0.006, memory: 52540, decode.loss_ce: 0.1848, decode.acc_seg: 92.4002, loss: 0.1848 +2023-03-04 09:12:50,743 - mmseg - INFO - Iter [121150/160000] lr: 2.344e-06, eta: 2:33:05, time: 0.191, data_time: 0.006, memory: 52540, decode.loss_ce: 0.1803, decode.acc_seg: 92.5093, loss: 0.1803 +2023-03-04 09:13:03,086 - mmseg - INFO - Iter [121200/160000] lr: 2.344e-06, eta: 2:32:53, time: 0.247, data_time: 0.060, memory: 52540, decode.loss_ce: 0.1812, decode.acc_seg: 92.5898, loss: 0.1812 +2023-03-04 09:13:12,791 - mmseg - INFO - Iter [121250/160000] lr: 2.344e-06, eta: 2:32:41, time: 0.194, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1773, decode.acc_seg: 92.6060, loss: 0.1773 +2023-03-04 09:13:22,407 - mmseg - INFO - Iter [121300/160000] lr: 2.344e-06, eta: 2:32:28, time: 0.192, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1814, decode.acc_seg: 92.6256, loss: 0.1814 +2023-03-04 09:13:32,571 - mmseg - INFO - Iter [121350/160000] lr: 2.344e-06, eta: 2:32:16, time: 0.203, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1796, decode.acc_seg: 92.5993, loss: 0.1796 +2023-03-04 09:13:42,202 - mmseg - INFO - Iter [121400/160000] lr: 2.344e-06, eta: 2:32:03, time: 0.192, data_time: 0.006, memory: 52540, decode.loss_ce: 0.1848, decode.acc_seg: 92.2786, loss: 0.1848 +2023-03-04 09:13:51,940 - mmseg - INFO - Iter [121450/160000] lr: 2.344e-06, eta: 2:31:51, time: 0.195, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1886, decode.acc_seg: 92.2104, loss: 0.1886 +2023-03-04 09:14:01,611 - mmseg - INFO - Iter [121500/160000] lr: 2.344e-06, eta: 2:31:38, time: 0.193, data_time: 0.006, memory: 52540, decode.loss_ce: 0.1900, decode.acc_seg: 92.2406, loss: 0.1900 +2023-03-04 09:14:11,266 - mmseg - INFO - Iter [121550/160000] lr: 2.344e-06, eta: 2:31:26, time: 0.193, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1846, decode.acc_seg: 92.3869, loss: 0.1846 +2023-03-04 09:14:20,837 - mmseg - INFO - Iter [121600/160000] lr: 2.344e-06, eta: 2:31:13, time: 0.191, data_time: 0.006, memory: 52540, decode.loss_ce: 0.1843, decode.acc_seg: 92.3730, loss: 0.1843 +2023-03-04 09:14:30,376 - mmseg - INFO - Iter [121650/160000] lr: 2.344e-06, eta: 2:31:01, time: 0.191, data_time: 0.006, memory: 52540, decode.loss_ce: 0.1833, decode.acc_seg: 92.3812, loss: 0.1833 +2023-03-04 09:14:39,828 - mmseg - INFO - Iter [121700/160000] lr: 2.344e-06, eta: 2:30:48, time: 0.189, data_time: 0.006, memory: 52540, decode.loss_ce: 0.1844, decode.acc_seg: 92.3859, loss: 0.1844 +2023-03-04 09:14:49,533 - mmseg - INFO - Iter [121750/160000] lr: 2.344e-06, eta: 2:30:36, time: 0.194, data_time: 0.006, memory: 52540, decode.loss_ce: 0.1914, decode.acc_seg: 92.4274, loss: 0.1914 +2023-03-04 09:15:01,751 - mmseg - INFO - Iter [121800/160000] lr: 2.344e-06, eta: 2:30:24, time: 0.244, data_time: 0.053, memory: 52540, decode.loss_ce: 0.1847, decode.acc_seg: 92.3617, loss: 0.1847 +2023-03-04 09:15:11,422 - mmseg - INFO - Iter [121850/160000] lr: 2.344e-06, eta: 2:30:12, time: 0.193, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1854, decode.acc_seg: 92.3844, loss: 0.1854 +2023-03-04 09:15:21,231 - mmseg - INFO - Iter [121900/160000] lr: 2.344e-06, eta: 2:29:59, time: 0.196, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1869, decode.acc_seg: 92.2850, loss: 0.1869 +2023-03-04 09:15:30,839 - mmseg - INFO - Iter [121950/160000] lr: 2.344e-06, eta: 2:29:47, time: 0.192, data_time: 0.006, memory: 52540, decode.loss_ce: 0.1855, decode.acc_seg: 92.4890, loss: 0.1855 +2023-03-04 09:15:40,579 - mmseg - INFO - Exp name: ablation_segformer_mit_b2_segformer_head_unet_fc_small_multi_step_ade_single_stage.py +2023-03-04 09:15:40,579 - mmseg - INFO - Iter [122000/160000] lr: 2.344e-06, eta: 2:29:34, time: 0.195, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1928, decode.acc_seg: 92.1731, loss: 0.1928 +2023-03-04 09:15:50,708 - mmseg - INFO - Iter [122050/160000] lr: 2.344e-06, eta: 2:29:22, time: 0.203, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1799, decode.acc_seg: 92.5535, loss: 0.1799 +2023-03-04 09:16:00,394 - mmseg - INFO - Iter [122100/160000] lr: 2.344e-06, eta: 2:29:10, time: 0.194, data_time: 0.006, memory: 52540, decode.loss_ce: 0.1823, decode.acc_seg: 92.5362, loss: 0.1823 +2023-03-04 09:16:09,929 - mmseg - INFO - Iter [122150/160000] lr: 2.344e-06, eta: 2:28:57, time: 0.191, data_time: 0.006, memory: 52540, decode.loss_ce: 0.1961, decode.acc_seg: 91.9700, loss: 0.1961 +2023-03-04 09:16:19,669 - mmseg - INFO - Iter [122200/160000] lr: 2.344e-06, eta: 2:28:45, time: 0.195, data_time: 0.006, memory: 52540, decode.loss_ce: 0.1920, decode.acc_seg: 92.2944, loss: 0.1920 +2023-03-04 09:16:29,640 - mmseg - INFO - Iter [122250/160000] lr: 2.344e-06, eta: 2:28:32, time: 0.199, data_time: 0.006, memory: 52540, decode.loss_ce: 0.1933, decode.acc_seg: 92.1435, loss: 0.1933 +2023-03-04 09:16:39,214 - mmseg - INFO - Iter [122300/160000] lr: 2.344e-06, eta: 2:28:20, time: 0.191, data_time: 0.006, memory: 52540, decode.loss_ce: 0.1740, decode.acc_seg: 92.8139, loss: 0.1740 +2023-03-04 09:16:48,733 - mmseg - INFO - Iter [122350/160000] lr: 2.344e-06, eta: 2:28:07, time: 0.190, data_time: 0.006, memory: 52540, decode.loss_ce: 0.1965, decode.acc_seg: 91.9205, loss: 0.1965 +2023-03-04 09:16:58,494 - mmseg - INFO - Iter [122400/160000] lr: 2.344e-06, eta: 2:27:55, time: 0.195, data_time: 0.006, memory: 52540, decode.loss_ce: 0.1810, decode.acc_seg: 92.4230, loss: 0.1810 +2023-03-04 09:17:10,582 - mmseg - INFO - Iter [122450/160000] lr: 2.344e-06, eta: 2:27:43, time: 0.242, data_time: 0.053, memory: 52540, decode.loss_ce: 0.1855, decode.acc_seg: 92.6363, loss: 0.1855 +2023-03-04 09:17:20,132 - mmseg - INFO - Iter [122500/160000] lr: 2.344e-06, eta: 2:27:31, time: 0.191, data_time: 0.006, memory: 52540, decode.loss_ce: 0.1849, decode.acc_seg: 92.3139, loss: 0.1849 +2023-03-04 09:17:29,778 - mmseg - INFO - Iter [122550/160000] lr: 2.344e-06, eta: 2:27:18, time: 0.193, data_time: 0.006, memory: 52540, decode.loss_ce: 0.1858, decode.acc_seg: 92.3504, loss: 0.1858 +2023-03-04 09:17:39,646 - mmseg - INFO - Iter [122600/160000] lr: 2.344e-06, eta: 2:27:06, time: 0.197, data_time: 0.006, memory: 52540, decode.loss_ce: 0.1838, decode.acc_seg: 92.3874, loss: 0.1838 +2023-03-04 09:17:49,322 - mmseg - INFO - Iter [122650/160000] lr: 2.344e-06, eta: 2:26:53, time: 0.194, data_time: 0.006, memory: 52540, decode.loss_ce: 0.1968, decode.acc_seg: 92.0066, loss: 0.1968 +2023-03-04 09:17:58,918 - mmseg - INFO - Iter [122700/160000] lr: 2.344e-06, eta: 2:26:41, time: 0.192, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1754, decode.acc_seg: 92.6405, loss: 0.1754 +2023-03-04 09:18:08,619 - mmseg - INFO - Iter [122750/160000] lr: 2.344e-06, eta: 2:26:28, time: 0.194, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1760, decode.acc_seg: 92.7080, loss: 0.1760 +2023-03-04 09:18:18,589 - mmseg - INFO - Iter [122800/160000] lr: 2.344e-06, eta: 2:26:16, time: 0.199, data_time: 0.006, memory: 52540, decode.loss_ce: 0.1797, decode.acc_seg: 92.6550, loss: 0.1797 +2023-03-04 09:18:28,399 - mmseg - INFO - Iter [122850/160000] lr: 2.344e-06, eta: 2:26:04, time: 0.196, data_time: 0.006, memory: 52540, decode.loss_ce: 0.1812, decode.acc_seg: 92.6484, loss: 0.1812 +2023-03-04 09:18:37,890 - mmseg - INFO - Iter [122900/160000] lr: 2.344e-06, eta: 2:25:51, time: 0.190, data_time: 0.006, memory: 52540, decode.loss_ce: 0.1892, decode.acc_seg: 92.1865, loss: 0.1892 +2023-03-04 09:18:47,421 - mmseg - INFO - Iter [122950/160000] lr: 2.344e-06, eta: 2:25:39, time: 0.191, data_time: 0.006, memory: 52540, decode.loss_ce: 0.1866, decode.acc_seg: 92.3289, loss: 0.1866 +2023-03-04 09:18:56,935 - mmseg - INFO - Exp name: ablation_segformer_mit_b2_segformer_head_unet_fc_small_multi_step_ade_single_stage.py +2023-03-04 09:18:56,935 - mmseg - INFO - Iter [123000/160000] lr: 2.344e-06, eta: 2:25:26, time: 0.190, data_time: 0.006, memory: 52540, decode.loss_ce: 0.1868, decode.acc_seg: 92.3801, loss: 0.1868 +2023-03-04 09:19:09,203 - mmseg - INFO - Iter [123050/160000] lr: 2.344e-06, eta: 2:25:15, time: 0.245, data_time: 0.054, memory: 52540, decode.loss_ce: 0.1778, decode.acc_seg: 92.6101, loss: 0.1778 +2023-03-04 09:19:18,899 - mmseg - INFO - Iter [123100/160000] lr: 2.344e-06, eta: 2:25:02, time: 0.194, data_time: 0.006, memory: 52540, decode.loss_ce: 0.1929, decode.acc_seg: 92.0080, loss: 0.1929 +2023-03-04 09:19:28,390 - mmseg - INFO - Iter [123150/160000] lr: 2.344e-06, eta: 2:24:50, time: 0.190, data_time: 0.006, memory: 52540, decode.loss_ce: 0.1777, decode.acc_seg: 92.6210, loss: 0.1777 +2023-03-04 09:19:38,046 - mmseg - INFO - Iter [123200/160000] lr: 2.344e-06, eta: 2:24:37, time: 0.193, data_time: 0.006, memory: 52540, decode.loss_ce: 0.1854, decode.acc_seg: 92.4451, loss: 0.1854 +2023-03-04 09:19:47,975 - mmseg - INFO - Iter [123250/160000] lr: 2.344e-06, eta: 2:24:25, time: 0.198, data_time: 0.006, memory: 52540, decode.loss_ce: 0.1809, decode.acc_seg: 92.5697, loss: 0.1809 +2023-03-04 09:19:57,531 - mmseg - INFO - Iter [123300/160000] lr: 2.344e-06, eta: 2:24:12, time: 0.191, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1965, decode.acc_seg: 91.9233, loss: 0.1965 +2023-03-04 09:20:07,228 - mmseg - INFO - Iter [123350/160000] lr: 2.344e-06, eta: 2:24:00, time: 0.194, data_time: 0.006, memory: 52540, decode.loss_ce: 0.1816, decode.acc_seg: 92.4987, loss: 0.1816 +2023-03-04 09:20:16,825 - mmseg - INFO - Iter [123400/160000] lr: 2.344e-06, eta: 2:23:48, time: 0.192, data_time: 0.006, memory: 52540, decode.loss_ce: 0.1862, decode.acc_seg: 92.4080, loss: 0.1862 +2023-03-04 09:20:26,740 - mmseg - INFO - Iter [123450/160000] lr: 2.344e-06, eta: 2:23:35, time: 0.198, data_time: 0.006, memory: 52540, decode.loss_ce: 0.1800, decode.acc_seg: 92.5452, loss: 0.1800 +2023-03-04 09:20:36,197 - mmseg - INFO - Iter [123500/160000] lr: 2.344e-06, eta: 2:23:23, time: 0.189, data_time: 0.006, memory: 52540, decode.loss_ce: 0.1829, decode.acc_seg: 92.5339, loss: 0.1829 +2023-03-04 09:20:46,230 - mmseg - INFO - Iter [123550/160000] lr: 2.344e-06, eta: 2:23:10, time: 0.200, data_time: 0.006, memory: 52540, decode.loss_ce: 0.1869, decode.acc_seg: 92.3650, loss: 0.1869 +2023-03-04 09:20:56,128 - mmseg - INFO - Iter [123600/160000] lr: 2.344e-06, eta: 2:22:58, time: 0.198, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1821, decode.acc_seg: 92.3584, loss: 0.1821 +2023-03-04 09:21:05,841 - mmseg - INFO - Iter [123650/160000] lr: 2.344e-06, eta: 2:22:46, time: 0.194, data_time: 0.006, memory: 52540, decode.loss_ce: 0.1797, decode.acc_seg: 92.6431, loss: 0.1797 +2023-03-04 09:21:18,187 - mmseg - INFO - Iter [123700/160000] lr: 2.344e-06, eta: 2:22:34, time: 0.247, data_time: 0.053, memory: 52540, decode.loss_ce: 0.1835, decode.acc_seg: 92.5577, loss: 0.1835 +2023-03-04 09:21:28,183 - mmseg - INFO - Iter [123750/160000] lr: 2.344e-06, eta: 2:22:22, time: 0.200, data_time: 0.006, memory: 52540, decode.loss_ce: 0.1865, decode.acc_seg: 92.2486, loss: 0.1865 +2023-03-04 09:21:37,914 - mmseg - INFO - Iter [123800/160000] lr: 2.344e-06, eta: 2:22:09, time: 0.195, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1868, decode.acc_seg: 92.3193, loss: 0.1868 +2023-03-04 09:21:47,473 - mmseg - INFO - Iter [123850/160000] lr: 2.344e-06, eta: 2:21:57, time: 0.191, data_time: 0.006, memory: 52540, decode.loss_ce: 0.1778, decode.acc_seg: 92.7060, loss: 0.1778 +2023-03-04 09:21:57,008 - mmseg - INFO - Iter [123900/160000] lr: 2.344e-06, eta: 2:21:45, time: 0.191, data_time: 0.006, memory: 52540, decode.loss_ce: 0.1754, decode.acc_seg: 92.7090, loss: 0.1754 +2023-03-04 09:22:06,809 - mmseg - INFO - Iter [123950/160000] lr: 2.344e-06, eta: 2:21:32, time: 0.196, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1817, decode.acc_seg: 92.4461, loss: 0.1817 +2023-03-04 09:22:16,320 - mmseg - INFO - Exp name: ablation_segformer_mit_b2_segformer_head_unet_fc_small_multi_step_ade_single_stage.py +2023-03-04 09:22:16,321 - mmseg - INFO - Iter [124000/160000] lr: 2.344e-06, eta: 2:21:20, time: 0.190, data_time: 0.006, memory: 52540, decode.loss_ce: 0.1832, decode.acc_seg: 92.4407, loss: 0.1832 +2023-03-04 09:22:26,104 - mmseg - INFO - Iter [124050/160000] lr: 2.344e-06, eta: 2:21:07, time: 0.196, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1845, decode.acc_seg: 92.3973, loss: 0.1845 +2023-03-04 09:22:35,777 - mmseg - INFO - Iter [124100/160000] lr: 2.344e-06, eta: 2:20:55, time: 0.193, data_time: 0.006, memory: 52540, decode.loss_ce: 0.1864, decode.acc_seg: 92.3217, loss: 0.1864 +2023-03-04 09:22:45,319 - mmseg - INFO - Iter [124150/160000] lr: 2.344e-06, eta: 2:20:43, time: 0.191, data_time: 0.006, memory: 52540, decode.loss_ce: 0.1852, decode.acc_seg: 92.3004, loss: 0.1852 +2023-03-04 09:22:55,017 - mmseg - INFO - Iter [124200/160000] lr: 2.344e-06, eta: 2:20:30, time: 0.194, data_time: 0.006, memory: 52540, decode.loss_ce: 0.1806, decode.acc_seg: 92.5066, loss: 0.1806 +2023-03-04 09:23:04,686 - mmseg - INFO - Iter [124250/160000] lr: 2.344e-06, eta: 2:20:18, time: 0.193, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1904, decode.acc_seg: 92.2142, loss: 0.1904 +2023-03-04 09:23:14,341 - mmseg - INFO - Iter [124300/160000] lr: 2.344e-06, eta: 2:20:05, time: 0.193, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1820, decode.acc_seg: 92.7204, loss: 0.1820 +2023-03-04 09:23:26,503 - mmseg - INFO - Iter [124350/160000] lr: 2.344e-06, eta: 2:19:54, time: 0.243, data_time: 0.053, memory: 52540, decode.loss_ce: 0.1900, decode.acc_seg: 92.1953, loss: 0.1900 +2023-03-04 09:23:36,093 - mmseg - INFO - Iter [124400/160000] lr: 2.344e-06, eta: 2:19:41, time: 0.192, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1848, decode.acc_seg: 92.3042, loss: 0.1848 +2023-03-04 09:23:45,734 - mmseg - INFO - Iter [124450/160000] lr: 2.344e-06, eta: 2:19:29, time: 0.193, data_time: 0.006, memory: 52540, decode.loss_ce: 0.1727, decode.acc_seg: 92.8105, loss: 0.1727 +2023-03-04 09:23:55,386 - mmseg - INFO - Iter [124500/160000] lr: 2.344e-06, eta: 2:19:17, time: 0.193, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1809, decode.acc_seg: 92.7433, loss: 0.1809 +2023-03-04 09:24:05,016 - mmseg - INFO - Iter [124550/160000] lr: 2.344e-06, eta: 2:19:04, time: 0.193, data_time: 0.006, memory: 52540, decode.loss_ce: 0.1833, decode.acc_seg: 92.4774, loss: 0.1833 +2023-03-04 09:24:14,518 - mmseg - INFO - Iter [124600/160000] lr: 2.344e-06, eta: 2:18:52, time: 0.190, data_time: 0.006, memory: 52540, decode.loss_ce: 0.1840, decode.acc_seg: 92.3818, loss: 0.1840 +2023-03-04 09:24:24,121 - mmseg - INFO - Iter [124650/160000] lr: 2.344e-06, eta: 2:18:39, time: 0.192, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1884, decode.acc_seg: 92.2711, loss: 0.1884 +2023-03-04 09:24:33,833 - mmseg - INFO - Iter [124700/160000] lr: 2.344e-06, eta: 2:18:27, time: 0.194, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1806, decode.acc_seg: 92.5303, loss: 0.1806 +2023-03-04 09:24:43,439 - mmseg - INFO - Iter [124750/160000] lr: 2.344e-06, eta: 2:18:15, time: 0.192, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1882, decode.acc_seg: 92.2456, loss: 0.1882 +2023-03-04 09:24:53,032 - mmseg - INFO - Iter [124800/160000] lr: 2.344e-06, eta: 2:18:02, time: 0.192, data_time: 0.006, memory: 52540, decode.loss_ce: 0.1872, decode.acc_seg: 92.2245, loss: 0.1872 +2023-03-04 09:25:02,632 - mmseg - INFO - Iter [124850/160000] lr: 2.344e-06, eta: 2:17:50, time: 0.192, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1903, decode.acc_seg: 92.2563, loss: 0.1903 +2023-03-04 09:25:12,734 - mmseg - INFO - Iter [124900/160000] lr: 2.344e-06, eta: 2:17:38, time: 0.202, data_time: 0.006, memory: 52540, decode.loss_ce: 0.1803, decode.acc_seg: 92.4986, loss: 0.1803 +2023-03-04 09:25:24,741 - mmseg - INFO - Iter [124950/160000] lr: 2.344e-06, eta: 2:17:26, time: 0.240, data_time: 0.054, memory: 52540, decode.loss_ce: 0.1771, decode.acc_seg: 92.6015, loss: 0.1771 +2023-03-04 09:25:34,356 - mmseg - INFO - Exp name: ablation_segformer_mit_b2_segformer_head_unet_fc_small_multi_step_ade_single_stage.py +2023-03-04 09:25:34,356 - mmseg - INFO - Iter [125000/160000] lr: 2.344e-06, eta: 2:17:14, time: 0.192, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1856, decode.acc_seg: 92.2541, loss: 0.1856 +2023-03-04 09:25:43,922 - mmseg - INFO - Iter [125050/160000] lr: 2.344e-06, eta: 2:17:01, time: 0.191, data_time: 0.006, memory: 52540, decode.loss_ce: 0.1749, decode.acc_seg: 92.7664, loss: 0.1749 +2023-03-04 09:25:53,486 - mmseg - INFO - Iter [125100/160000] lr: 2.344e-06, eta: 2:16:49, time: 0.191, data_time: 0.006, memory: 52540, decode.loss_ce: 0.1826, decode.acc_seg: 92.4260, loss: 0.1826 +2023-03-04 09:26:03,477 - mmseg - INFO - Iter [125150/160000] lr: 2.344e-06, eta: 2:16:37, time: 0.200, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1887, decode.acc_seg: 92.4058, loss: 0.1887 +2023-03-04 09:26:13,265 - mmseg - INFO - Iter [125200/160000] lr: 2.344e-06, eta: 2:16:24, time: 0.196, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1785, decode.acc_seg: 92.7136, loss: 0.1785 +2023-03-04 09:26:23,007 - mmseg - INFO - Iter [125250/160000] lr: 2.344e-06, eta: 2:16:12, time: 0.195, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1833, decode.acc_seg: 92.5210, loss: 0.1833 +2023-03-04 09:26:32,810 - mmseg - INFO - Iter [125300/160000] lr: 2.344e-06, eta: 2:16:00, time: 0.196, data_time: 0.006, memory: 52540, decode.loss_ce: 0.1863, decode.acc_seg: 92.4494, loss: 0.1863 +2023-03-04 09:26:42,269 - mmseg - INFO - Iter [125350/160000] lr: 2.344e-06, eta: 2:15:47, time: 0.189, data_time: 0.006, memory: 52540, decode.loss_ce: 0.1838, decode.acc_seg: 92.5764, loss: 0.1838 +2023-03-04 09:26:51,892 - mmseg - INFO - Iter [125400/160000] lr: 2.344e-06, eta: 2:15:35, time: 0.192, data_time: 0.006, memory: 52540, decode.loss_ce: 0.1965, decode.acc_seg: 92.0860, loss: 0.1965 +2023-03-04 09:27:01,503 - mmseg - INFO - Iter [125450/160000] lr: 2.344e-06, eta: 2:15:23, time: 0.192, data_time: 0.006, memory: 52540, decode.loss_ce: 0.1830, decode.acc_seg: 92.4606, loss: 0.1830 +2023-03-04 09:27:11,214 - mmseg - INFO - Iter [125500/160000] lr: 2.344e-06, eta: 2:15:10, time: 0.194, data_time: 0.006, memory: 52540, decode.loss_ce: 0.1859, decode.acc_seg: 92.3956, loss: 0.1859 +2023-03-04 09:27:20,670 - mmseg - INFO - Iter [125550/160000] lr: 2.344e-06, eta: 2:14:58, time: 0.189, data_time: 0.006, memory: 52540, decode.loss_ce: 0.1895, decode.acc_seg: 92.2511, loss: 0.1895 +2023-03-04 09:27:32,872 - mmseg - INFO - Iter [125600/160000] lr: 2.344e-06, eta: 2:14:46, time: 0.244, data_time: 0.054, memory: 52540, decode.loss_ce: 0.1881, decode.acc_seg: 92.2715, loss: 0.1881 +2023-03-04 09:27:42,394 - mmseg - INFO - Iter [125650/160000] lr: 2.344e-06, eta: 2:14:34, time: 0.190, data_time: 0.006, memory: 52540, decode.loss_ce: 0.1966, decode.acc_seg: 92.1482, loss: 0.1966 +2023-03-04 09:27:51,976 - mmseg - INFO - Iter [125700/160000] lr: 2.344e-06, eta: 2:14:22, time: 0.192, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1882, decode.acc_seg: 92.3108, loss: 0.1882 +2023-03-04 09:28:01,595 - mmseg - INFO - Iter [125750/160000] lr: 2.344e-06, eta: 2:14:09, time: 0.192, data_time: 0.006, memory: 52540, decode.loss_ce: 0.1899, decode.acc_seg: 92.2611, loss: 0.1899 +2023-03-04 09:28:11,112 - mmseg - INFO - Iter [125800/160000] lr: 2.344e-06, eta: 2:13:57, time: 0.190, data_time: 0.006, memory: 52540, decode.loss_ce: 0.1874, decode.acc_seg: 92.3100, loss: 0.1874 +2023-03-04 09:28:20,722 - mmseg - INFO - Iter [125850/160000] lr: 2.344e-06, eta: 2:13:45, time: 0.192, data_time: 0.006, memory: 52540, decode.loss_ce: 0.1856, decode.acc_seg: 92.3091, loss: 0.1856 +2023-03-04 09:28:30,185 - mmseg - INFO - Iter [125900/160000] lr: 2.344e-06, eta: 2:13:32, time: 0.189, data_time: 0.006, memory: 52540, decode.loss_ce: 0.1848, decode.acc_seg: 92.4556, loss: 0.1848 +2023-03-04 09:28:39,720 - mmseg - INFO - Iter [125950/160000] lr: 2.344e-06, eta: 2:13:20, time: 0.191, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1855, decode.acc_seg: 92.4660, loss: 0.1855 +2023-03-04 09:28:49,281 - mmseg - INFO - Exp name: ablation_segformer_mit_b2_segformer_head_unet_fc_small_multi_step_ade_single_stage.py +2023-03-04 09:28:49,281 - mmseg - INFO - Iter [126000/160000] lr: 2.344e-06, eta: 2:13:08, time: 0.191, data_time: 0.006, memory: 52540, decode.loss_ce: 0.1863, decode.acc_seg: 92.2674, loss: 0.1863 +2023-03-04 09:28:58,965 - mmseg - INFO - Iter [126050/160000] lr: 2.344e-06, eta: 2:12:55, time: 0.194, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1808, decode.acc_seg: 92.4055, loss: 0.1808 +2023-03-04 09:29:08,664 - mmseg - INFO - Iter [126100/160000] lr: 2.344e-06, eta: 2:12:43, time: 0.194, data_time: 0.006, memory: 52540, decode.loss_ce: 0.1803, decode.acc_seg: 92.5022, loss: 0.1803 +2023-03-04 09:29:18,378 - mmseg - INFO - Iter [126150/160000] lr: 2.344e-06, eta: 2:12:31, time: 0.194, data_time: 0.006, memory: 52540, decode.loss_ce: 0.1816, decode.acc_seg: 92.5448, loss: 0.1816 +2023-03-04 09:29:27,969 - mmseg - INFO - Iter [126200/160000] lr: 2.344e-06, eta: 2:12:18, time: 0.192, data_time: 0.006, memory: 52540, decode.loss_ce: 0.1829, decode.acc_seg: 92.5062, loss: 0.1829 +2023-03-04 09:29:40,110 - mmseg - INFO - Iter [126250/160000] lr: 2.344e-06, eta: 2:12:07, time: 0.243, data_time: 0.056, memory: 52540, decode.loss_ce: 0.1858, decode.acc_seg: 92.4956, loss: 0.1858 +2023-03-04 09:29:49,823 - mmseg - INFO - Iter [126300/160000] lr: 2.344e-06, eta: 2:11:54, time: 0.195, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1816, decode.acc_seg: 92.5365, loss: 0.1816 +2023-03-04 09:29:59,311 - mmseg - INFO - Iter [126350/160000] lr: 2.344e-06, eta: 2:11:42, time: 0.190, data_time: 0.006, memory: 52540, decode.loss_ce: 0.1884, decode.acc_seg: 92.3716, loss: 0.1884 +2023-03-04 09:30:09,153 - mmseg - INFO - Iter [126400/160000] lr: 2.344e-06, eta: 2:11:30, time: 0.197, data_time: 0.006, memory: 52540, decode.loss_ce: 0.1815, decode.acc_seg: 92.4548, loss: 0.1815 +2023-03-04 09:30:18,915 - mmseg - INFO - Iter [126450/160000] lr: 2.344e-06, eta: 2:11:18, time: 0.195, data_time: 0.006, memory: 52540, decode.loss_ce: 0.1864, decode.acc_seg: 92.0725, loss: 0.1864 +2023-03-04 09:30:28,487 - mmseg - INFO - Iter [126500/160000] lr: 2.344e-06, eta: 2:11:05, time: 0.191, data_time: 0.006, memory: 52540, decode.loss_ce: 0.1870, decode.acc_seg: 92.4374, loss: 0.1870 +2023-03-04 09:30:38,201 - mmseg - INFO - Iter [126550/160000] lr: 2.344e-06, eta: 2:10:53, time: 0.194, data_time: 0.006, memory: 52540, decode.loss_ce: 0.1811, decode.acc_seg: 92.4300, loss: 0.1811 +2023-03-04 09:30:47,831 - mmseg - INFO - Iter [126600/160000] lr: 2.344e-06, eta: 2:10:41, time: 0.192, data_time: 0.006, memory: 52540, decode.loss_ce: 0.1828, decode.acc_seg: 92.4737, loss: 0.1828 +2023-03-04 09:30:57,502 - mmseg - INFO - Iter [126650/160000] lr: 2.344e-06, eta: 2:10:28, time: 0.194, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1789, decode.acc_seg: 92.6536, loss: 0.1789 +2023-03-04 09:31:07,108 - mmseg - INFO - Iter [126700/160000] lr: 2.344e-06, eta: 2:10:16, time: 0.192, data_time: 0.006, memory: 52540, decode.loss_ce: 0.1797, decode.acc_seg: 92.5343, loss: 0.1797 +2023-03-04 09:31:16,592 - mmseg - INFO - Iter [126750/160000] lr: 2.344e-06, eta: 2:10:04, time: 0.190, data_time: 0.006, memory: 52540, decode.loss_ce: 0.1811, decode.acc_seg: 92.6685, loss: 0.1811 +2023-03-04 09:31:26,063 - mmseg - INFO - Iter [126800/160000] lr: 2.344e-06, eta: 2:09:51, time: 0.189, data_time: 0.006, memory: 52540, decode.loss_ce: 0.1765, decode.acc_seg: 92.6934, loss: 0.1765 +2023-03-04 09:31:38,143 - mmseg - INFO - Iter [126850/160000] lr: 2.344e-06, eta: 2:09:40, time: 0.242, data_time: 0.055, memory: 52540, decode.loss_ce: 0.1875, decode.acc_seg: 92.2696, loss: 0.1875 +2023-03-04 09:31:47,640 - mmseg - INFO - Iter [126900/160000] lr: 2.344e-06, eta: 2:09:27, time: 0.190, data_time: 0.006, memory: 52540, decode.loss_ce: 0.1791, decode.acc_seg: 92.6540, loss: 0.1791 +2023-03-04 09:31:57,169 - mmseg - INFO - Iter [126950/160000] lr: 2.344e-06, eta: 2:09:15, time: 0.191, data_time: 0.006, memory: 52540, decode.loss_ce: 0.1818, decode.acc_seg: 92.4778, loss: 0.1818 +2023-03-04 09:32:06,856 - mmseg - INFO - Exp name: ablation_segformer_mit_b2_segformer_head_unet_fc_small_multi_step_ade_single_stage.py +2023-03-04 09:32:06,856 - mmseg - INFO - Iter [127000/160000] lr: 2.344e-06, eta: 2:09:03, time: 0.194, data_time: 0.006, memory: 52540, decode.loss_ce: 0.1881, decode.acc_seg: 92.2559, loss: 0.1881 +2023-03-04 09:32:16,360 - mmseg - INFO - Iter [127050/160000] lr: 2.344e-06, eta: 2:08:51, time: 0.190, data_time: 0.006, memory: 52540, decode.loss_ce: 0.1882, decode.acc_seg: 92.2912, loss: 0.1882 +2023-03-04 09:32:26,111 - mmseg - INFO - Iter [127100/160000] lr: 2.344e-06, eta: 2:08:38, time: 0.195, data_time: 0.006, memory: 52540, decode.loss_ce: 0.1842, decode.acc_seg: 92.4646, loss: 0.1842 +2023-03-04 09:32:35,801 - mmseg - INFO - Iter [127150/160000] lr: 2.344e-06, eta: 2:08:26, time: 0.194, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1811, decode.acc_seg: 92.6073, loss: 0.1811 +2023-03-04 09:32:45,296 - mmseg - INFO - Iter [127200/160000] lr: 2.344e-06, eta: 2:08:14, time: 0.190, data_time: 0.006, memory: 52540, decode.loss_ce: 0.1815, decode.acc_seg: 92.4214, loss: 0.1815 +2023-03-04 09:32:55,229 - mmseg - INFO - Iter [127250/160000] lr: 2.344e-06, eta: 2:08:02, time: 0.199, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1840, decode.acc_seg: 92.3636, loss: 0.1840 +2023-03-04 09:33:04,983 - mmseg - INFO - Iter [127300/160000] lr: 2.344e-06, eta: 2:07:49, time: 0.195, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1833, decode.acc_seg: 92.4188, loss: 0.1833 +2023-03-04 09:33:14,721 - mmseg - INFO - Iter [127350/160000] lr: 2.344e-06, eta: 2:07:37, time: 0.195, data_time: 0.006, memory: 52540, decode.loss_ce: 0.1875, decode.acc_seg: 92.2404, loss: 0.1875 +2023-03-04 09:33:24,464 - mmseg - INFO - Iter [127400/160000] lr: 2.344e-06, eta: 2:07:25, time: 0.195, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1889, decode.acc_seg: 92.3481, loss: 0.1889 +2023-03-04 09:33:34,796 - mmseg - INFO - Iter [127450/160000] lr: 2.344e-06, eta: 2:07:13, time: 0.207, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1860, decode.acc_seg: 92.3899, loss: 0.1860 +2023-03-04 09:33:47,027 - mmseg - INFO - Iter [127500/160000] lr: 2.344e-06, eta: 2:07:01, time: 0.245, data_time: 0.056, memory: 52540, decode.loss_ce: 0.1836, decode.acc_seg: 92.4090, loss: 0.1836 +2023-03-04 09:33:56,623 - mmseg - INFO - Iter [127550/160000] lr: 2.344e-06, eta: 2:06:49, time: 0.192, data_time: 0.006, memory: 52540, decode.loss_ce: 0.1857, decode.acc_seg: 92.3122, loss: 0.1857 +2023-03-04 09:34:06,395 - mmseg - INFO - Iter [127600/160000] lr: 2.344e-06, eta: 2:06:37, time: 0.195, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1834, decode.acc_seg: 92.4716, loss: 0.1834 +2023-03-04 09:34:16,330 - mmseg - INFO - Iter [127650/160000] lr: 2.344e-06, eta: 2:06:24, time: 0.199, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1792, decode.acc_seg: 92.5789, loss: 0.1792 +2023-03-04 09:34:26,386 - mmseg - INFO - Iter [127700/160000] lr: 2.344e-06, eta: 2:06:12, time: 0.201, data_time: 0.006, memory: 52540, decode.loss_ce: 0.1813, decode.acc_seg: 92.4650, loss: 0.1813 +2023-03-04 09:34:36,109 - mmseg - INFO - Iter [127750/160000] lr: 2.344e-06, eta: 2:06:00, time: 0.194, data_time: 0.006, memory: 52540, decode.loss_ce: 0.1836, decode.acc_seg: 92.5243, loss: 0.1836 +2023-03-04 09:34:45,676 - mmseg - INFO - Iter [127800/160000] lr: 2.344e-06, eta: 2:05:48, time: 0.191, data_time: 0.006, memory: 52540, decode.loss_ce: 0.1867, decode.acc_seg: 92.4877, loss: 0.1867 +2023-03-04 09:34:55,349 - mmseg - INFO - Iter [127850/160000] lr: 2.344e-06, eta: 2:05:36, time: 0.193, data_time: 0.006, memory: 52540, decode.loss_ce: 0.1808, decode.acc_seg: 92.6075, loss: 0.1808 +2023-03-04 09:35:04,964 - mmseg - INFO - Iter [127900/160000] lr: 2.344e-06, eta: 2:05:23, time: 0.193, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1789, decode.acc_seg: 92.6587, loss: 0.1789 +2023-03-04 09:35:14,784 - mmseg - INFO - Iter [127950/160000] lr: 2.344e-06, eta: 2:05:11, time: 0.196, data_time: 0.006, memory: 52540, decode.loss_ce: 0.1854, decode.acc_seg: 92.3334, loss: 0.1854 +2023-03-04 09:35:24,277 - mmseg - INFO - Swap parameters (after train) after iter [128000] +2023-03-04 09:35:24,291 - mmseg - INFO - Saving checkpoint at 128000 iterations +2023-03-04 09:35:25,277 - mmseg - INFO - Exp name: ablation_segformer_mit_b2_segformer_head_unet_fc_small_multi_step_ade_single_stage.py +2023-03-04 09:35:25,277 - mmseg - INFO - Iter [128000/160000] lr: 2.344e-06, eta: 2:04:59, time: 0.210, data_time: 0.006, memory: 52540, decode.loss_ce: 0.1845, decode.acc_seg: 92.4050, loss: 0.1845 +2023-03-04 09:46:23,257 - mmseg - INFO - per class results: +2023-03-04 09:46:23,266 - mmseg - INFO - ++---------------------+-------------------------------------------------------------------+ +| Class | IoU 0,10,20,30,40,50,60,70,80,90,99 | ++---------------------+-------------------------------------------------------------------+ +| background | nan,nan,nan,nan,nan,nan,nan,nan,nan,nan,nan | +| wall | 77.38,77.39,77.41,77.42,77.42,77.43,77.44,77.45,77.46,77.46,77.47 | +| building | 81.62,81.63,81.65,81.66,81.67,81.68,81.67,81.68,81.68,81.69,81.69 | +| sky | 94.4,94.42,94.42,94.43,94.43,94.44,94.45,94.45,94.46,94.46,94.46 | +| floor | 81.64,81.67,81.65,81.67,81.69,81.68,81.67,81.68,81.68,81.68,81.7 | +| tree | 74.39,74.41,74.43,74.43,74.46,74.48,74.48,74.47,74.48,74.48,74.48 | +| ceiling | 85.22,85.22,85.23,85.23,85.24,85.26,85.25,85.26,85.28,85.26,85.29 | +| road | 82.22,82.25,82.27,82.34,82.32,82.37,82.38,82.39,82.39,82.39,82.44 | +| bed | 87.68,87.77,87.76,87.78,87.73,87.8,87.81,87.9,87.91,87.92,87.88 | +| windowpane | 60.8,60.82,60.83,60.88,60.89,60.89,60.9,60.87,60.89,60.93,60.99 | +| grass | 67.12,67.18,67.24,67.28,67.34,67.36,67.39,67.39,67.41,67.43,67.48 | +| cabinet | 61.71,61.87,61.95,62.07,62.16,62.34,62.46,62.51,62.49,62.49,62.43 | +| sidewalk | 64.61,64.68,64.68,64.78,64.71,64.76,64.75,64.75,64.72,64.71,64.77 | +| person | 79.61,79.64,79.66,79.69,79.7,79.7,79.76,79.79,79.8,79.79,79.8 | +| earth | 35.89,35.89,35.88,35.86,35.85,35.83,35.83,35.83,35.83,35.73,35.78 | +| door | 45.88,45.86,45.88,45.91,45.87,45.81,45.8,45.8,45.81,45.84,45.93 | +| table | 61.3,61.41,61.48,61.58,61.63,61.69,61.73,61.75,61.64,61.7,61.7 | +| mountain | 56.23,56.23,56.24,56.3,56.3,56.31,56.48,56.55,56.67,56.75,57.0 | +| plant | 49.48,49.45,49.43,49.38,49.43,49.37,49.37,49.34,49.38,49.36,49.37 | +| curtain | 74.41,74.4,74.49,74.52,74.54,74.55,74.55,74.56,74.56,74.56,74.58 | +| chair | 56.52,56.61,56.59,56.57,56.6,56.6,56.58,56.56,56.55,56.53,56.52 | +| car | 81.73,81.74,81.78,81.83,81.86,81.9,81.94,81.99,81.99,82.01,82.01 | +| water | 57.12,57.14,57.15,57.18,57.26,57.3,57.34,57.39,57.42,57.44,57.44 | +| painting | 70.87,70.89,70.74,70.63,70.55,70.4,70.35,70.32,70.26,70.17,70.04 | +| sofa | 64.64,64.71,64.72,64.78,64.8,64.87,64.87,64.91,64.94,64.93,65.09 | +| shelf | 44.35,44.37,44.46,44.51,44.56,44.65,44.72,44.76,44.76,44.82,44.84 | +| house | 43.01,43.09,43.07,43.14,43.21,43.23,43.16,43.14,43.11,43.06,42.97 | +| sea | 60.25,60.32,60.29,60.31,60.34,60.34,60.4,60.42,60.42,60.43,60.43 | +| mirror | 67.13,67.35,67.32,67.47,67.34,67.43,67.42,67.52,67.44,67.38,67.33 | +| rug | 64.77,64.83,64.78,64.85,64.98,64.97,64.93,64.89,64.87,64.88,65.01 | +| field | 30.77,30.8,30.78,30.78,30.78,30.75,30.76,30.76,30.74,30.73,30.74 | +| armchair | 37.76,37.86,37.78,37.88,37.89,37.97,37.95,37.94,37.98,37.97,37.98 | +| seat | 66.38,66.5,66.48,66.64,66.66,66.66,66.71,66.83,67.02,67.04,67.02 | +| fence | 40.86,40.87,40.96,40.99,40.97,40.89,40.97,40.91,40.96,40.92,40.99 | +| desk | 46.82,46.84,46.94,47.09,47.21,47.33,47.47,47.22,47.21,47.21,47.1 | +| rock | 36.9,36.96,37.06,37.06,37.11,37.14,37.17,37.18,37.18,37.25,37.33 | +| wardrobe | 57.44,57.42,57.31,57.19,57.2,57.33,57.44,57.55,57.59,57.62,57.63 | +| lamp | 62.36,62.37,62.39,62.46,62.49,62.53,62.5,62.52,62.49,62.45,62.5 | +| bathtub | 77.15,77.37,77.06,77.21,77.24,77.02,76.8,76.69,76.68,76.55,76.33 | +| railing | 33.91,33.96,33.99,34.15,34.22,34.32,34.29,34.35,34.37,34.37,34.38 | +| cushion | 56.84,56.76,56.75,56.83,56.62,56.78,56.71,56.72,56.55,56.52,56.58 | +| base | 22.27,22.38,22.48,22.61,22.79,22.83,22.87,22.91,22.97,23.02,23.06 | +| box | 23.34,23.39,23.5,23.46,23.58,23.66,23.67,23.68,23.65,23.7,23.74 | +| column | 45.63,45.66,45.74,45.82,45.87,46.09,46.19,46.29,46.38,46.47,46.26 | +| signboard | 37.42,37.6,37.53,37.63,37.8,37.85,37.84,37.8,37.83,37.86,37.93 | +| chest of drawers | 36.42,36.42,36.49,36.56,36.63,36.6,36.69,36.79,36.75,36.81,36.87 | +| counter | 31.66,31.64,31.76,31.77,31.88,31.87,31.9,32.01,32.13,32.08,32.1 | +| sand | 41.94,42.21,42.27,42.3,42.39,42.45,42.51,42.5,42.54,42.57,42.62 | +| sink | 67.61,67.59,67.53,67.62,67.61,67.51,67.44,67.46,67.43,67.47,67.44 | +| skyscraper | 49.07,48.82,48.75,48.75,48.63,48.66,48.59,48.59,48.58,48.6,48.64 | +| fireplace | 76.26,76.37,76.26,76.4,76.5,76.38,76.49,76.51,76.57,76.54,76.45 | +| refrigerator | 76.56,76.76,76.95,76.86,77.02,77.06,77.14,77.11,77.2,77.24,77.33 | +| grandstand | 52.81,53.09,53.24,53.53,53.66,53.86,54.11,54.13,54.27,54.34,54.27 | +| path | 22.43,22.57,22.65,22.76,22.85,22.89,22.91,23.01,23.03,23.05,23.06 | +| stairs | 32.39,32.47,32.48,32.49,32.44,32.45,32.48,32.49,32.5,32.54,32.41 | +| runway | 67.81,67.84,67.83,67.89,67.88,67.91,67.87,67.9,67.87,67.88,67.87 | +| case | 48.64,48.75,48.73,48.65,48.74,48.79,48.84,48.83,48.78,48.53,48.83 | +| pool table | 91.45,91.42,91.43,91.48,91.49,91.43,91.46,91.44,91.47,91.45,91.55 | +| pillow | 60.85,60.65,60.43,60.37,60.39,60.4,60.4,60.29,60.13,60.17,59.91 | +| screen door | 70.84,71.04,70.78,70.9,70.69,70.64,70.76,70.66,70.48,70.07,69.7 | +| stairway | 24.12,24.15,24.25,24.18,24.24,24.23,24.2,24.2,24.22,24.25,24.17 | +| river | 12.07,12.08,12.06,12.07,12.05,12.05,12.04,12.03,12.04,12.04,12.04 | +| bridge | 31.02,31.1,30.95,31.18,31.25,31.22,31.28,31.25,31.19,31.18,31.15 | +| bookcase | 46.94,46.84,46.98,46.91,46.89,46.99,47.05,46.81,46.85,46.83,46.87 | +| blind | 40.26,40.17,40.28,40.33,40.13,40.15,40.21,40.17,40.08,40.19,40.1 | +| coffee table | 53.84,53.76,53.83,54.09,53.96,53.97,54.13,54.05,53.72,53.71,53.74 | +| toilet | 83.57,83.6,83.55,83.64,83.64,83.49,83.42,83.51,83.43,83.41,83.38 | +| flower | 38.97,38.86,38.83,38.89,38.89,38.95,38.88,38.78,38.78,38.83,38.86 | +| book | 45.08,44.99,45.07,45.12,45.01,45.07,44.98,45.12,45.19,45.23,45.17 | +| hill | 15.42,15.48,15.38,15.41,15.31,15.24,15.28,15.27,15.2,15.1,15.18 | +| bench | 42.65,42.73,42.42,42.32,42.32,42.16,42.23,42.13,42.07,42.04,41.89 | +| countertop | 56.22,56.28,56.55,56.47,56.52,56.47,56.43,56.5,56.44,56.5,56.42 | +| stove | 72.26,72.59,72.55,72.71,72.73,72.99,73.02,73.18,73.08,73.19,73.27 | +| palm | 47.66,47.63,47.72,47.72,47.68,47.68,47.69,47.68,47.68,47.63,47.69 | +| kitchen island | 46.42,46.89,47.05,47.03,47.26,47.26,47.42,47.34,47.35,47.28,47.23 | +| computer | 60.72,60.71,60.73,60.71,60.75,60.71,60.67,60.71,60.69,60.66,60.59 | +| swivel chair | 44.37,44.66,44.52,44.64,44.75,44.78,44.55,44.5,44.49,44.33,44.73 | +| boat | 73.62,73.55,73.72,73.7,73.8,74.01,74.19,74.18,74.34,74.42,74.43 | +| bar | 23.82,23.83,23.86,23.83,23.9,23.89,23.94,23.94,23.87,23.9,23.93 | +| arcade machine | 69.52,69.96,70.36,70.32,70.25,70.43,70.8,70.72,70.65,70.9,70.83 | +| hovel | 29.69,29.89,30.0,29.3,29.09,29.09,28.87,28.6,28.64,28.73,28.55 | +| bus | 79.43,79.51,79.48,79.49,79.46,79.52,79.49,79.56,79.59,79.6,79.66 | +| towel | 61.72,61.68,61.74,61.7,61.88,61.78,61.78,61.85,61.77,61.73,61.76 | +| light | 56.05,56.07,56.15,56.21,56.18,56.17,56.27,56.25,56.24,56.29,56.4 | +| truck | 19.64,19.63,19.6,19.58,19.6,19.5,19.34,19.5,19.3,19.21,19.13 | +| tower | 8.22,8.29,8.08,8.22,8.13,7.96,7.91,8.05,8.11,8.08,8.07 | +| chandelier | 64.66,64.6,64.73,64.7,64.77,64.77,64.7,64.83,64.71,64.79,64.75 | +| awning | 22.76,22.79,23.4,23.76,23.72,23.9,24.12,24.29,24.41,24.41,24.46 | +| streetlight | 27.15,27.25,27.39,27.33,27.46,27.47,27.6,27.63,27.69,27.71,27.86 | +| booth | 46.93,47.24,47.25,47.37,47.75,48.14,49.33,49.56,49.92,50.1,50.32 | +| television receiver | 64.21,64.2,64.17,64.3,64.27,64.26,64.35,64.34,64.39,64.47,64.42 | +| airplane | 61.01,61.21,61.04,60.87,61.01,60.78,60.82,60.76,60.74,60.67,60.63 | +| dirt track | 20.79,20.91,21.04,21.53,21.61,21.66,22.06,22.21,22.35,22.54,22.66 | +| apparel | 34.51,34.88,34.8,35.03,35.4,35.53,35.62,35.78,35.9,36.07,36.04 | +| pole | 18.13,18.18,17.98,18.06,17.92,17.97,18.01,17.75,17.79,17.67,17.67 | +| land | 3.59,3.56,3.58,3.62,3.62,3.56,3.55,3.58,3.6,3.67,3.56 | +| bannister | 11.59,11.73,11.78,11.76,11.74,11.85,11.83,11.94,11.97,11.92,12.04 | +| escalator | 23.72,23.74,23.85,23.84,23.87,23.85,23.87,24.03,23.88,23.94,23.94 | +| ottoman | 41.02,41.21,40.8,40.52,40.16,40.07,40.47,40.83,41.34,41.2,40.93 | +| bottle | 34.36,34.22,34.31,34.34,34.36,34.55,34.43,34.58,34.88,34.92,34.91 | +| buffet | 43.4,43.83,44.44,44.78,45.17,45.5,45.89,46.14,46.13,46.05,46.28 | +| poster | 23.2,23.2,23.21,23.22,23.32,23.35,23.25,23.36,23.37,23.54,23.83 | +| stage | 13.64,13.61,13.16,13.17,12.85,12.75,12.62,12.52,12.45,12.42,12.26 | +| van | 38.73,38.6,38.56,38.57,38.66,38.57,38.62,38.68,38.64,38.62,38.51 | +| ship | 83.05,83.11,83.13,83.32,83.45,83.24,83.43,83.31,83.53,83.61,83.62 | +| fountain | 20.06,20.36,20.5,20.55,21.0,21.24,21.34,21.5,21.53,21.8,21.85 | +| conveyer belt | 85.43,85.6,85.69,85.81,86.05,86.07,86.31,86.38,86.59,86.61,86.63 | +| canopy | 21.9,22.34,22.48,22.81,23.1,23.22,23.44,23.5,23.66,23.67,23.73 | +| washer | 75.49,75.42,75.54,75.69,75.76,75.91,76.0,76.18,76.25,76.38,76.51 | +| plaything | 20.52,20.58,20.49,20.46,20.54,20.61,20.57,20.54,20.56,20.55,20.61 | +| swimming pool | 73.92,74.01,74.25,74.79,74.72,75.0,74.97,75.11,75.33,75.27,75.18 | +| stool | 43.07,43.25,43.01,42.88,42.83,42.72,42.67,42.61,42.62,42.46,42.43 | +| barrel | 43.27,41.49,42.51,40.74,41.14,40.34,39.31,39.82,39.16,38.98,38.78 | +| basket | 24.41,24.5,24.49,24.53,24.51,24.54,24.65,24.62,24.66,24.52,24.63 | +| waterfall | 49.25,49.06,49.17,49.07,49.21,49.16,49.14,49.26,49.08,49.18,49.29 | +| tent | 93.71,93.78,93.82,93.86,93.82,93.87,93.88,93.83,93.71,93.72,93.76 | +| bag | 16.05,16.11,16.13,16.16,16.0,15.93,15.92,15.79,15.7,15.61,15.53 | +| minibike | 62.28,62.23,62.35,62.38,62.43,62.66,62.72,62.85,63.0,63.05,63.09 | +| cradle | 85.17,85.38,85.54,85.67,85.75,85.84,85.96,86.02,86.16,86.22,86.3 | +| oven | 47.57,47.53,47.81,47.79,48.11,48.13,48.47,48.68,48.87,48.9,48.96 | +| ball | 43.96,44.07,44.17,44.09,44.14,44.18,44.18,44.24,44.27,44.2,44.2 | +| food | 54.41,54.48,54.42,54.39,54.3,53.94,54.04,54.0,53.78,53.61,53.63 | +| step | 6.12,6.33,6.32,6.39,6.5,6.51,6.61,6.62,6.69,6.67,6.67 | +| tank | 52.66,52.46,52.46,52.26,52.04,51.92,51.93,51.75,51.46,51.4,51.42 | +| trade name | 28.15,28.03,28.25,28.23,28.19,28.07,28.08,28.06,28.01,27.88,28.04 | +| microwave | 73.81,74.13,74.5,74.6,74.88,75.02,75.34,75.51,75.65,75.76,75.8 | +| pot | 30.71,30.73,30.97,31.05,31.25,31.41,31.67,31.83,31.94,32.05,32.31 | +| animal | 54.16,54.26,54.4,54.47,54.32,54.28,54.48,54.11,54.15,54.2,54.14 | +| bicycle | 53.61,53.57,53.87,53.87,53.91,53.98,54.07,54.26,54.16,54.36,54.34 | +| lake | 57.62,57.71,57.72,57.74,57.85,57.9,57.95,58.03,58.08,58.14,58.17 | +| dishwasher | 66.3,66.22,66.25,65.93,65.94,66.08,66.24,66.05,66.17,66.17,66.34 | +| screen | 70.27,70.04,69.85,69.28,68.99,68.86,69.21,69.72,69.93,69.95,69.93 | +| blanket | 17.89,18.09,18.34,18.31,18.41,18.53,18.52,18.45,18.5,18.41,18.66 | +| sculpture | 57.13,57.13,56.9,56.7,56.56,56.22,56.27,56.21,56.23,56.21,56.21 | +| hood | 57.5,57.87,57.82,57.94,57.55,57.81,57.94,57.78,57.63,57.67,57.57 | +| sconce | 42.84,43.08,42.96,43.23,43.14,43.11,43.17,43.18,43.02,43.11,42.98 | +| vase | 37.83,37.88,38.06,38.09,38.36,38.27,38.25,38.46,38.57,38.63,38.66 | +| traffic light | 32.6,32.67,32.76,32.9,32.97,33.16,33.31,33.23,33.25,33.42,33.48 | +| tray | 7.77,7.77,7.81,7.81,7.7,7.62,7.64,7.58,7.55,7.55,7.47 | +| ashcan | 38.35,38.2,38.04,38.12,38.13,38.19,38.3,38.4,38.31,38.44,38.24 | +| fan | 57.73,57.58,57.61,57.72,57.61,57.66,57.65,57.67,57.57,57.54,57.59 | +| pier | 44.23,43.82,44.81,45.42,46.19,46.19,47.48,47.49,48.95,49.01,49.16 | +| crt screen | 10.89,10.9,10.91,10.81,10.84,10.83,10.63,10.6,10.51,10.47,10.43 | +| plate | 53.32,53.44,53.47,53.74,53.83,53.97,54.09,54.16,54.25,54.26,54.31 | +| monitor | 19.55,19.42,19.13,19.12,18.79,18.46,18.33,18.15,17.81,17.51,17.34 | +| bulletin board | 35.67,35.74,35.77,36.1,36.19,36.1,36.41,36.68,36.7,36.67,36.89 | +| shower | 1.91,2.04,1.94,1.97,1.81,1.54,1.54,1.39,1.13,0.92,1.16 | +| radiator | 60.25,60.65,61.11,61.44,61.95,62.43,62.65,62.68,62.8,62.84,62.73 | +| glass | 14.25,14.2,14.17,14.2,14.16,14.17,14.14,14.03,14.1,14.14,13.99 | +| clock | 35.12,35.42,35.52,35.75,35.7,35.97,35.95,36.15,36.13,36.21,36.3 | +| flag | 35.02,34.67,34.68,34.65,34.53,34.43,34.2,34.23,34.1,33.9,33.97 | ++---------------------+-------------------------------------------------------------------+ +2023-03-04 09:46:23,266 - mmseg - INFO - Summary: +2023-03-04 09:46:23,267 - mmseg - INFO - ++-------------------------------------------------------------------+ +| mIoU 0,10,20,30,40,50,60,70,80,90,99 | ++-------------------------------------------------------------------+ +| 48.72,48.77,48.81,48.84,48.87,48.89,48.94,48.97,48.98,48.98,48.99 | ++-------------------------------------------------------------------+ +2023-03-04 09:46:23,267 - mmseg - INFO - Exp name: ablation_segformer_mit_b2_segformer_head_unet_fc_small_multi_step_ade_single_stage.py +2023-03-04 09:46:23,267 - mmseg - INFO - Iter(val) [250] mIoU: [0.4872, 0.4877, 0.4881, 0.4884, 0.4887, 0.4889, 0.4894, 0.4897, 0.4898, 0.4898, 0.4899], copy_paste: 48.72,48.77,48.81,48.84,48.87,48.89,48.94,48.97,48.98,48.98,48.99 +2023-03-04 09:46:23,275 - mmseg - INFO - Swap parameters (before train) before iter [128001] +2023-03-04 09:46:33,298 - mmseg - INFO - Iter [128050/160000] lr: 2.344e-06, eta: 2:07:31, time: 13.360, data_time: 13.168, memory: 52540, decode.loss_ce: 0.1859, decode.acc_seg: 92.4036, loss: 0.1859 +2023-03-04 09:46:45,638 - mmseg - INFO - Iter [128100/160000] lr: 2.344e-06, eta: 2:07:19, time: 0.247, data_time: 0.054, memory: 52540, decode.loss_ce: 0.1940, decode.acc_seg: 91.9785, loss: 0.1940 +2023-03-04 09:46:55,675 - mmseg - INFO - Iter [128150/160000] lr: 2.344e-06, eta: 2:07:07, time: 0.201, data_time: 0.006, memory: 52540, decode.loss_ce: 0.1907, decode.acc_seg: 92.3185, loss: 0.1907 +2023-03-04 09:47:05,610 - mmseg - INFO - Iter [128200/160000] lr: 2.344e-06, eta: 2:06:54, time: 0.199, data_time: 0.006, memory: 52540, decode.loss_ce: 0.1859, decode.acc_seg: 92.3718, loss: 0.1859 +2023-03-04 09:47:15,244 - mmseg - INFO - Iter [128250/160000] lr: 2.344e-06, eta: 2:06:42, time: 0.193, data_time: 0.006, memory: 52540, decode.loss_ce: 0.1860, decode.acc_seg: 92.4132, loss: 0.1860 +2023-03-04 09:47:24,734 - mmseg - INFO - Iter [128300/160000] lr: 2.344e-06, eta: 2:06:29, time: 0.190, data_time: 0.006, memory: 52540, decode.loss_ce: 0.1873, decode.acc_seg: 92.3094, loss: 0.1873 +2023-03-04 09:47:34,493 - mmseg - INFO - Iter [128350/160000] lr: 2.344e-06, eta: 2:06:17, time: 0.195, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1868, decode.acc_seg: 92.3009, loss: 0.1868 +2023-03-04 09:47:44,421 - mmseg - INFO - Iter [128400/160000] lr: 2.344e-06, eta: 2:06:04, time: 0.199, data_time: 0.006, memory: 52540, decode.loss_ce: 0.1847, decode.acc_seg: 92.4724, loss: 0.1847 +2023-03-04 09:47:54,034 - mmseg - INFO - Iter [128450/160000] lr: 2.344e-06, eta: 2:05:52, time: 0.192, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1849, decode.acc_seg: 92.3069, loss: 0.1849 +2023-03-04 09:48:03,681 - mmseg - INFO - Iter [128500/160000] lr: 2.344e-06, eta: 2:05:39, time: 0.193, data_time: 0.006, memory: 52540, decode.loss_ce: 0.1820, decode.acc_seg: 92.5277, loss: 0.1820 +2023-03-04 09:48:13,091 - mmseg - INFO - Iter [128550/160000] lr: 2.344e-06, eta: 2:05:27, time: 0.188, data_time: 0.006, memory: 52540, decode.loss_ce: 0.1912, decode.acc_seg: 92.1276, loss: 0.1912 +2023-03-04 09:48:22,853 - mmseg - INFO - Iter [128600/160000] lr: 2.344e-06, eta: 2:05:14, time: 0.195, data_time: 0.006, memory: 52540, decode.loss_ce: 0.1845, decode.acc_seg: 92.4680, loss: 0.1845 +2023-03-04 09:48:32,455 - mmseg - INFO - Iter [128650/160000] lr: 2.344e-06, eta: 2:05:02, time: 0.192, data_time: 0.006, memory: 52540, decode.loss_ce: 0.1854, decode.acc_seg: 92.3943, loss: 0.1854 +2023-03-04 09:48:42,193 - mmseg - INFO - Iter [128700/160000] lr: 2.344e-06, eta: 2:04:49, time: 0.195, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1890, decode.acc_seg: 92.2427, loss: 0.1890 +2023-03-04 09:48:54,360 - mmseg - INFO - Iter [128750/160000] lr: 2.344e-06, eta: 2:04:37, time: 0.243, data_time: 0.057, memory: 52540, decode.loss_ce: 0.1880, decode.acc_seg: 92.3195, loss: 0.1880 +2023-03-04 09:49:04,358 - mmseg - INFO - Iter [128800/160000] lr: 2.344e-06, eta: 2:04:25, time: 0.200, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1816, decode.acc_seg: 92.5889, loss: 0.1816 +2023-03-04 09:49:14,187 - mmseg - INFO - Iter [128850/160000] lr: 2.344e-06, eta: 2:04:12, time: 0.197, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1786, decode.acc_seg: 92.5265, loss: 0.1786 +2023-03-04 09:49:23,854 - mmseg - INFO - Iter [128900/160000] lr: 2.344e-06, eta: 2:04:00, time: 0.193, data_time: 0.006, memory: 52540, decode.loss_ce: 0.1847, decode.acc_seg: 92.2841, loss: 0.1847 +2023-03-04 09:49:33,707 - mmseg - INFO - Iter [128950/160000] lr: 2.344e-06, eta: 2:03:47, time: 0.197, data_time: 0.006, memory: 52540, decode.loss_ce: 0.1857, decode.acc_seg: 92.2997, loss: 0.1857 +2023-03-04 09:49:43,194 - mmseg - INFO - Exp name: ablation_segformer_mit_b2_segformer_head_unet_fc_small_multi_step_ade_single_stage.py +2023-03-04 09:49:43,194 - mmseg - INFO - Iter [129000/160000] lr: 2.344e-06, eta: 2:03:35, time: 0.190, data_time: 0.006, memory: 52540, decode.loss_ce: 0.1778, decode.acc_seg: 92.6934, loss: 0.1778 +2023-03-04 09:49:52,730 - mmseg - INFO - Iter [129050/160000] lr: 2.344e-06, eta: 2:03:22, time: 0.191, data_time: 0.006, memory: 52540, decode.loss_ce: 0.1823, decode.acc_seg: 92.5362, loss: 0.1823 +2023-03-04 09:50:02,663 - mmseg - INFO - Iter [129100/160000] lr: 2.344e-06, eta: 2:03:10, time: 0.199, data_time: 0.006, memory: 52540, decode.loss_ce: 0.1819, decode.acc_seg: 92.4501, loss: 0.1819 +2023-03-04 09:50:12,115 - mmseg - INFO - Iter [129150/160000] lr: 2.344e-06, eta: 2:02:57, time: 0.189, data_time: 0.006, memory: 52540, decode.loss_ce: 0.1860, decode.acc_seg: 92.4279, loss: 0.1860 +2023-03-04 09:50:21,845 - mmseg - INFO - Iter [129200/160000] lr: 2.344e-06, eta: 2:02:45, time: 0.195, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1765, decode.acc_seg: 92.7094, loss: 0.1765 +2023-03-04 09:50:31,299 - mmseg - INFO - Iter [129250/160000] lr: 2.344e-06, eta: 2:02:32, time: 0.189, data_time: 0.006, memory: 52540, decode.loss_ce: 0.1862, decode.acc_seg: 92.4056, loss: 0.1862 +2023-03-04 09:50:40,812 - mmseg - INFO - Iter [129300/160000] lr: 2.344e-06, eta: 2:02:20, time: 0.190, data_time: 0.006, memory: 52540, decode.loss_ce: 0.1849, decode.acc_seg: 92.3868, loss: 0.1849 +2023-03-04 09:50:50,786 - mmseg - INFO - Iter [129350/160000] lr: 2.344e-06, eta: 2:02:07, time: 0.199, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1871, decode.acc_seg: 92.2873, loss: 0.1871 +2023-03-04 09:51:03,183 - mmseg - INFO - Iter [129400/160000] lr: 2.344e-06, eta: 2:01:55, time: 0.248, data_time: 0.056, memory: 52540, decode.loss_ce: 0.1792, decode.acc_seg: 92.5473, loss: 0.1792 +2023-03-04 09:51:12,669 - mmseg - INFO - Iter [129450/160000] lr: 2.344e-06, eta: 2:01:43, time: 0.190, data_time: 0.006, memory: 52540, decode.loss_ce: 0.1893, decode.acc_seg: 92.3643, loss: 0.1893 +2023-03-04 09:51:22,312 - mmseg - INFO - Iter [129500/160000] lr: 2.344e-06, eta: 2:01:30, time: 0.193, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1877, decode.acc_seg: 92.3147, loss: 0.1877 +2023-03-04 09:51:32,067 - mmseg - INFO - Iter [129550/160000] lr: 2.344e-06, eta: 2:01:18, time: 0.195, data_time: 0.006, memory: 52540, decode.loss_ce: 0.1839, decode.acc_seg: 92.4947, loss: 0.1839 +2023-03-04 09:51:41,697 - mmseg - INFO - Iter [129600/160000] lr: 2.344e-06, eta: 2:01:05, time: 0.193, data_time: 0.006, memory: 52540, decode.loss_ce: 0.1842, decode.acc_seg: 92.5166, loss: 0.1842 +2023-03-04 09:51:51,339 - mmseg - INFO - Iter [129650/160000] lr: 2.344e-06, eta: 2:00:53, time: 0.193, data_time: 0.006, memory: 52540, decode.loss_ce: 0.1831, decode.acc_seg: 92.4023, loss: 0.1831 +2023-03-04 09:52:01,171 - mmseg - INFO - Iter [129700/160000] lr: 2.344e-06, eta: 2:00:40, time: 0.197, data_time: 0.006, memory: 52540, decode.loss_ce: 0.1817, decode.acc_seg: 92.5721, loss: 0.1817 +2023-03-04 09:52:10,826 - mmseg - INFO - Iter [129750/160000] lr: 2.344e-06, eta: 2:00:28, time: 0.193, data_time: 0.006, memory: 52540, decode.loss_ce: 0.1822, decode.acc_seg: 92.5196, loss: 0.1822 +2023-03-04 09:52:20,348 - mmseg - INFO - Iter [129800/160000] lr: 2.344e-06, eta: 2:00:15, time: 0.190, data_time: 0.006, memory: 52540, decode.loss_ce: 0.1860, decode.acc_seg: 92.3423, loss: 0.1860 +2023-03-04 09:52:29,869 - mmseg - INFO - Iter [129850/160000] lr: 2.344e-06, eta: 2:00:03, time: 0.190, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1828, decode.acc_seg: 92.3270, loss: 0.1828 +2023-03-04 09:52:39,330 - mmseg - INFO - Iter [129900/160000] lr: 2.344e-06, eta: 1:59:50, time: 0.189, data_time: 0.006, memory: 52540, decode.loss_ce: 0.1793, decode.acc_seg: 92.5413, loss: 0.1793 +2023-03-04 09:52:48,803 - mmseg - INFO - Iter [129950/160000] lr: 2.344e-06, eta: 1:59:38, time: 0.189, data_time: 0.006, memory: 52540, decode.loss_ce: 0.1824, decode.acc_seg: 92.4098, loss: 0.1824 +2023-03-04 09:53:00,829 - mmseg - INFO - Exp name: ablation_segformer_mit_b2_segformer_head_unet_fc_small_multi_step_ade_single_stage.py +2023-03-04 09:53:00,829 - mmseg - INFO - Iter [130000/160000] lr: 2.344e-06, eta: 1:59:26, time: 0.241, data_time: 0.054, memory: 52540, decode.loss_ce: 0.1842, decode.acc_seg: 92.3038, loss: 0.1842 +2023-03-04 09:53:10,851 - mmseg - INFO - Iter [130050/160000] lr: 2.344e-06, eta: 1:59:13, time: 0.200, data_time: 0.006, memory: 52540, decode.loss_ce: 0.1871, decode.acc_seg: 92.2974, loss: 0.1871 +2023-03-04 09:53:20,695 - mmseg - INFO - Iter [130100/160000] lr: 2.344e-06, eta: 1:59:01, time: 0.197, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1777, decode.acc_seg: 92.7070, loss: 0.1777 +2023-03-04 09:53:30,309 - mmseg - INFO - Iter [130150/160000] lr: 2.344e-06, eta: 1:58:49, time: 0.192, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1884, decode.acc_seg: 92.2351, loss: 0.1884 +2023-03-04 09:53:39,991 - mmseg - INFO - Iter [130200/160000] lr: 2.344e-06, eta: 1:58:36, time: 0.194, data_time: 0.006, memory: 52540, decode.loss_ce: 0.1778, decode.acc_seg: 92.7034, loss: 0.1778 +2023-03-04 09:53:49,872 - mmseg - INFO - Iter [130250/160000] lr: 2.344e-06, eta: 1:58:24, time: 0.198, data_time: 0.006, memory: 52540, decode.loss_ce: 0.1869, decode.acc_seg: 92.3273, loss: 0.1869 +2023-03-04 09:53:59,767 - mmseg - INFO - Iter [130300/160000] lr: 2.344e-06, eta: 1:58:11, time: 0.198, data_time: 0.006, memory: 52540, decode.loss_ce: 0.1746, decode.acc_seg: 92.7889, loss: 0.1746 +2023-03-04 09:54:09,415 - mmseg - INFO - Iter [130350/160000] lr: 2.344e-06, eta: 1:57:59, time: 0.193, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1892, decode.acc_seg: 92.3073, loss: 0.1892 +2023-03-04 09:54:19,130 - mmseg - INFO - Iter [130400/160000] lr: 2.344e-06, eta: 1:57:46, time: 0.194, data_time: 0.006, memory: 52540, decode.loss_ce: 0.1895, decode.acc_seg: 92.2993, loss: 0.1895 +2023-03-04 09:54:28,851 - mmseg - INFO - Iter [130450/160000] lr: 2.344e-06, eta: 1:57:34, time: 0.194, data_time: 0.006, memory: 52540, decode.loss_ce: 0.1774, decode.acc_seg: 92.6626, loss: 0.1774 +2023-03-04 09:54:38,436 - mmseg - INFO - Iter [130500/160000] lr: 2.344e-06, eta: 1:57:21, time: 0.192, data_time: 0.006, memory: 52540, decode.loss_ce: 0.1809, decode.acc_seg: 92.4722, loss: 0.1809 +2023-03-04 09:54:48,020 - mmseg - INFO - Iter [130550/160000] lr: 2.344e-06, eta: 1:57:09, time: 0.192, data_time: 0.006, memory: 52540, decode.loss_ce: 0.1819, decode.acc_seg: 92.5792, loss: 0.1819 +2023-03-04 09:54:57,713 - mmseg - INFO - Iter [130600/160000] lr: 2.344e-06, eta: 1:56:57, time: 0.194, data_time: 0.006, memory: 52540, decode.loss_ce: 0.1827, decode.acc_seg: 92.4411, loss: 0.1827 +2023-03-04 09:55:10,132 - mmseg - INFO - Iter [130650/160000] lr: 2.344e-06, eta: 1:56:45, time: 0.248, data_time: 0.055, memory: 52540, decode.loss_ce: 0.1868, decode.acc_seg: 92.2551, loss: 0.1868 +2023-03-04 09:55:19,719 - mmseg - INFO - Iter [130700/160000] lr: 2.344e-06, eta: 1:56:32, time: 0.192, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1785, decode.acc_seg: 92.4553, loss: 0.1785 +2023-03-04 09:55:29,336 - mmseg - INFO - Iter [130750/160000] lr: 2.344e-06, eta: 1:56:20, time: 0.192, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1845, decode.acc_seg: 92.2974, loss: 0.1845 +2023-03-04 09:55:39,055 - mmseg - INFO - Iter [130800/160000] lr: 2.344e-06, eta: 1:56:07, time: 0.194, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1938, decode.acc_seg: 92.0178, loss: 0.1938 +2023-03-04 09:55:48,720 - mmseg - INFO - Iter [130850/160000] lr: 2.344e-06, eta: 1:55:55, time: 0.193, data_time: 0.006, memory: 52540, decode.loss_ce: 0.1754, decode.acc_seg: 92.8076, loss: 0.1754 +2023-03-04 09:55:58,782 - mmseg - INFO - Iter [130900/160000] lr: 2.344e-06, eta: 1:55:43, time: 0.201, data_time: 0.006, memory: 52540, decode.loss_ce: 0.1848, decode.acc_seg: 92.4216, loss: 0.1848 +2023-03-04 09:56:08,431 - mmseg - INFO - Iter [130950/160000] lr: 2.344e-06, eta: 1:55:30, time: 0.193, data_time: 0.006, memory: 52540, decode.loss_ce: 0.1954, decode.acc_seg: 91.9014, loss: 0.1954 +2023-03-04 09:56:17,945 - mmseg - INFO - Exp name: ablation_segformer_mit_b2_segformer_head_unet_fc_small_multi_step_ade_single_stage.py +2023-03-04 09:56:17,945 - mmseg - INFO - Iter [131000/160000] lr: 2.344e-06, eta: 1:55:18, time: 0.190, data_time: 0.006, memory: 52540, decode.loss_ce: 0.1806, decode.acc_seg: 92.7289, loss: 0.1806 +2023-03-04 09:56:27,711 - mmseg - INFO - Iter [131050/160000] lr: 2.344e-06, eta: 1:55:05, time: 0.195, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1827, decode.acc_seg: 92.5496, loss: 0.1827 +2023-03-04 09:56:37,292 - mmseg - INFO - Iter [131100/160000] lr: 2.344e-06, eta: 1:54:53, time: 0.192, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1857, decode.acc_seg: 92.3341, loss: 0.1857 +2023-03-04 09:56:47,113 - mmseg - INFO - Iter [131150/160000] lr: 2.344e-06, eta: 1:54:40, time: 0.196, data_time: 0.006, memory: 52540, decode.loss_ce: 0.1884, decode.acc_seg: 92.2630, loss: 0.1884 +2023-03-04 09:56:56,593 - mmseg - INFO - Iter [131200/160000] lr: 2.344e-06, eta: 1:54:28, time: 0.190, data_time: 0.006, memory: 52540, decode.loss_ce: 0.1913, decode.acc_seg: 92.3185, loss: 0.1913 +2023-03-04 09:57:08,720 - mmseg - INFO - Iter [131250/160000] lr: 2.344e-06, eta: 1:54:16, time: 0.243, data_time: 0.054, memory: 52540, decode.loss_ce: 0.1840, decode.acc_seg: 92.4148, loss: 0.1840 +2023-03-04 09:57:18,401 - mmseg - INFO - Iter [131300/160000] lr: 2.344e-06, eta: 1:54:04, time: 0.194, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1809, decode.acc_seg: 92.5101, loss: 0.1809 +2023-03-04 09:57:28,134 - mmseg - INFO - Iter [131350/160000] lr: 2.344e-06, eta: 1:53:51, time: 0.195, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1838, decode.acc_seg: 92.5434, loss: 0.1838 +2023-03-04 09:57:38,035 - mmseg - INFO - Iter [131400/160000] lr: 2.344e-06, eta: 1:53:39, time: 0.198, data_time: 0.006, memory: 52540, decode.loss_ce: 0.1858, decode.acc_seg: 92.4398, loss: 0.1858 +2023-03-04 09:57:47,563 - mmseg - INFO - Iter [131450/160000] lr: 2.344e-06, eta: 1:53:27, time: 0.191, data_time: 0.006, memory: 52540, decode.loss_ce: 0.1782, decode.acc_seg: 92.6606, loss: 0.1782 +2023-03-04 09:57:57,083 - mmseg - INFO - Iter [131500/160000] lr: 2.344e-06, eta: 1:53:14, time: 0.190, data_time: 0.006, memory: 52540, decode.loss_ce: 0.1953, decode.acc_seg: 92.0522, loss: 0.1953 +2023-03-04 09:58:06,790 - mmseg - INFO - Iter [131550/160000] lr: 2.344e-06, eta: 1:53:02, time: 0.194, data_time: 0.006, memory: 52540, decode.loss_ce: 0.1910, decode.acc_seg: 92.1862, loss: 0.1910 +2023-03-04 09:58:16,402 - mmseg - INFO - Iter [131600/160000] lr: 2.344e-06, eta: 1:52:49, time: 0.192, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1773, decode.acc_seg: 92.6752, loss: 0.1773 +2023-03-04 09:58:26,268 - mmseg - INFO - Iter [131650/160000] lr: 2.344e-06, eta: 1:52:37, time: 0.197, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1794, decode.acc_seg: 92.5826, loss: 0.1794 +2023-03-04 09:58:35,793 - mmseg - INFO - Iter [131700/160000] lr: 2.344e-06, eta: 1:52:24, time: 0.190, data_time: 0.006, memory: 52540, decode.loss_ce: 0.1867, decode.acc_seg: 92.4367, loss: 0.1867 +2023-03-04 09:58:45,306 - mmseg - INFO - Iter [131750/160000] lr: 2.344e-06, eta: 1:52:12, time: 0.190, data_time: 0.006, memory: 52540, decode.loss_ce: 0.1848, decode.acc_seg: 92.4451, loss: 0.1848 +2023-03-04 09:58:55,271 - mmseg - INFO - Iter [131800/160000] lr: 2.344e-06, eta: 1:52:00, time: 0.199, data_time: 0.006, memory: 52540, decode.loss_ce: 0.1901, decode.acc_seg: 92.2077, loss: 0.1901 +2023-03-04 09:59:04,978 - mmseg - INFO - Iter [131850/160000] lr: 2.344e-06, eta: 1:51:47, time: 0.194, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1835, decode.acc_seg: 92.4731, loss: 0.1835 +2023-03-04 09:59:17,193 - mmseg - INFO - Iter [131900/160000] lr: 2.344e-06, eta: 1:51:35, time: 0.245, data_time: 0.056, memory: 52540, decode.loss_ce: 0.1877, decode.acc_seg: 92.3290, loss: 0.1877 +2023-03-04 09:59:26,810 - mmseg - INFO - Iter [131950/160000] lr: 2.344e-06, eta: 1:51:23, time: 0.192, data_time: 0.006, memory: 52540, decode.loss_ce: 0.1823, decode.acc_seg: 92.6238, loss: 0.1823 +2023-03-04 09:59:36,381 - mmseg - INFO - Exp name: ablation_segformer_mit_b2_segformer_head_unet_fc_small_multi_step_ade_single_stage.py +2023-03-04 09:59:36,381 - mmseg - INFO - Iter [132000/160000] lr: 2.344e-06, eta: 1:51:11, time: 0.191, data_time: 0.006, memory: 52540, decode.loss_ce: 0.1833, decode.acc_seg: 92.4852, loss: 0.1833 +2023-03-04 09:59:45,985 - mmseg - INFO - Iter [132050/160000] lr: 2.344e-06, eta: 1:50:58, time: 0.192, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1834, decode.acc_seg: 92.4840, loss: 0.1834 +2023-03-04 09:59:55,819 - mmseg - INFO - Iter [132100/160000] lr: 2.344e-06, eta: 1:50:46, time: 0.197, data_time: 0.006, memory: 52540, decode.loss_ce: 0.1923, decode.acc_seg: 92.0898, loss: 0.1923 +2023-03-04 10:00:05,863 - mmseg - INFO - Iter [132150/160000] lr: 2.344e-06, eta: 1:50:34, time: 0.201, data_time: 0.006, memory: 52540, decode.loss_ce: 0.1852, decode.acc_seg: 92.3874, loss: 0.1852 +2023-03-04 10:00:15,603 - mmseg - INFO - Iter [132200/160000] lr: 2.344e-06, eta: 1:50:21, time: 0.195, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1928, decode.acc_seg: 92.1974, loss: 0.1928 +2023-03-04 10:00:25,422 - mmseg - INFO - Iter [132250/160000] lr: 2.344e-06, eta: 1:50:09, time: 0.196, data_time: 0.006, memory: 52540, decode.loss_ce: 0.1809, decode.acc_seg: 92.5266, loss: 0.1809 +2023-03-04 10:00:34,954 - mmseg - INFO - Iter [132300/160000] lr: 2.344e-06, eta: 1:49:56, time: 0.191, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1886, decode.acc_seg: 92.1816, loss: 0.1886 +2023-03-04 10:00:44,873 - mmseg - INFO - Iter [132350/160000] lr: 2.344e-06, eta: 1:49:44, time: 0.198, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1861, decode.acc_seg: 92.2686, loss: 0.1861 +2023-03-04 10:00:54,569 - mmseg - INFO - Iter [132400/160000] lr: 2.344e-06, eta: 1:49:32, time: 0.194, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1847, decode.acc_seg: 92.4373, loss: 0.1847 +2023-03-04 10:01:04,265 - mmseg - INFO - Iter [132450/160000] lr: 2.344e-06, eta: 1:49:19, time: 0.194, data_time: 0.006, memory: 52540, decode.loss_ce: 0.1885, decode.acc_seg: 92.3480, loss: 0.1885 +2023-03-04 10:01:13,920 - mmseg - INFO - Iter [132500/160000] lr: 2.344e-06, eta: 1:49:07, time: 0.193, data_time: 0.006, memory: 52540, decode.loss_ce: 0.1814, decode.acc_seg: 92.5632, loss: 0.1814 +2023-03-04 10:01:25,962 - mmseg - INFO - Iter [132550/160000] lr: 2.344e-06, eta: 1:48:55, time: 0.241, data_time: 0.054, memory: 52540, decode.loss_ce: 0.1861, decode.acc_seg: 92.3928, loss: 0.1861 +2023-03-04 10:01:35,535 - mmseg - INFO - Iter [132600/160000] lr: 2.344e-06, eta: 1:48:43, time: 0.191, data_time: 0.006, memory: 52540, decode.loss_ce: 0.1737, decode.acc_seg: 92.7991, loss: 0.1737 +2023-03-04 10:01:45,078 - mmseg - INFO - Iter [132650/160000] lr: 2.344e-06, eta: 1:48:30, time: 0.191, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1822, decode.acc_seg: 92.5838, loss: 0.1822 +2023-03-04 10:01:54,686 - mmseg - INFO - Iter [132700/160000] lr: 2.344e-06, eta: 1:48:18, time: 0.192, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1869, decode.acc_seg: 92.3155, loss: 0.1869 +2023-03-04 10:02:04,249 - mmseg - INFO - Iter [132750/160000] lr: 2.344e-06, eta: 1:48:06, time: 0.191, data_time: 0.006, memory: 52540, decode.loss_ce: 0.1910, decode.acc_seg: 92.3657, loss: 0.1910 +2023-03-04 10:02:13,791 - mmseg - INFO - Iter [132800/160000] lr: 2.344e-06, eta: 1:47:53, time: 0.191, data_time: 0.006, memory: 52540, decode.loss_ce: 0.1776, decode.acc_seg: 92.6118, loss: 0.1776 +2023-03-04 10:02:23,544 - mmseg - INFO - Iter [132850/160000] lr: 2.344e-06, eta: 1:47:41, time: 0.195, data_time: 0.006, memory: 52540, decode.loss_ce: 0.1854, decode.acc_seg: 92.3090, loss: 0.1854 +2023-03-04 10:02:33,239 - mmseg - INFO - Iter [132900/160000] lr: 2.344e-06, eta: 1:47:29, time: 0.194, data_time: 0.006, memory: 52540, decode.loss_ce: 0.1765, decode.acc_seg: 92.6436, loss: 0.1765 +2023-03-04 10:02:43,017 - mmseg - INFO - Iter [132950/160000] lr: 2.344e-06, eta: 1:47:16, time: 0.196, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1852, decode.acc_seg: 92.5128, loss: 0.1852 +2023-03-04 10:02:53,118 - mmseg - INFO - Exp name: ablation_segformer_mit_b2_segformer_head_unet_fc_small_multi_step_ade_single_stage.py +2023-03-04 10:02:53,118 - mmseg - INFO - Iter [133000/160000] lr: 2.344e-06, eta: 1:47:04, time: 0.202, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1910, decode.acc_seg: 92.1161, loss: 0.1910 +2023-03-04 10:03:02,760 - mmseg - INFO - Iter [133050/160000] lr: 2.344e-06, eta: 1:46:52, time: 0.193, data_time: 0.006, memory: 52540, decode.loss_ce: 0.1885, decode.acc_seg: 92.3010, loss: 0.1885 +2023-03-04 10:03:12,623 - mmseg - INFO - Iter [133100/160000] lr: 2.344e-06, eta: 1:46:39, time: 0.197, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1830, decode.acc_seg: 92.5138, loss: 0.1830 +2023-03-04 10:03:24,800 - mmseg - INFO - Iter [133150/160000] lr: 2.344e-06, eta: 1:46:27, time: 0.244, data_time: 0.054, memory: 52540, decode.loss_ce: 0.1930, decode.acc_seg: 92.2847, loss: 0.1930 +2023-03-04 10:03:34,639 - mmseg - INFO - Iter [133200/160000] lr: 2.344e-06, eta: 1:46:15, time: 0.197, data_time: 0.006, memory: 52540, decode.loss_ce: 0.1814, decode.acc_seg: 92.6037, loss: 0.1814 +2023-03-04 10:03:44,258 - mmseg - INFO - Iter [133250/160000] lr: 2.344e-06, eta: 1:46:03, time: 0.192, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1903, decode.acc_seg: 92.1123, loss: 0.1903 +2023-03-04 10:03:53,862 - mmseg - INFO - Iter [133300/160000] lr: 2.344e-06, eta: 1:45:50, time: 0.192, data_time: 0.006, memory: 52540, decode.loss_ce: 0.1759, decode.acc_seg: 92.7891, loss: 0.1759 +2023-03-04 10:04:03,593 - mmseg - INFO - Iter [133350/160000] lr: 2.344e-06, eta: 1:45:38, time: 0.195, data_time: 0.006, memory: 52540, decode.loss_ce: 0.1834, decode.acc_seg: 92.3674, loss: 0.1834 +2023-03-04 10:04:13,255 - mmseg - INFO - Iter [133400/160000] lr: 2.344e-06, eta: 1:45:26, time: 0.193, data_time: 0.006, memory: 52540, decode.loss_ce: 0.1852, decode.acc_seg: 92.3750, loss: 0.1852 +2023-03-04 10:04:23,092 - mmseg - INFO - Iter [133450/160000] lr: 2.344e-06, eta: 1:45:13, time: 0.197, data_time: 0.006, memory: 52540, decode.loss_ce: 0.1827, decode.acc_seg: 92.3106, loss: 0.1827 +2023-03-04 10:04:32,872 - mmseg - INFO - Iter [133500/160000] lr: 2.344e-06, eta: 1:45:01, time: 0.195, data_time: 0.006, memory: 52540, decode.loss_ce: 0.1848, decode.acc_seg: 92.5480, loss: 0.1848 +2023-03-04 10:04:42,820 - mmseg - INFO - Iter [133550/160000] lr: 2.344e-06, eta: 1:44:49, time: 0.199, data_time: 0.006, memory: 52540, decode.loss_ce: 0.1832, decode.acc_seg: 92.4401, loss: 0.1832 +2023-03-04 10:04:52,408 - mmseg - INFO - Iter [133600/160000] lr: 2.344e-06, eta: 1:44:37, time: 0.192, data_time: 0.006, memory: 52540, decode.loss_ce: 0.1896, decode.acc_seg: 92.2039, loss: 0.1896 +2023-03-04 10:05:02,091 - mmseg - INFO - Iter [133650/160000] lr: 2.344e-06, eta: 1:44:24, time: 0.194, data_time: 0.006, memory: 52540, decode.loss_ce: 0.1821, decode.acc_seg: 92.4272, loss: 0.1821 +2023-03-04 10:05:11,983 - mmseg - INFO - Iter [133700/160000] lr: 2.344e-06, eta: 1:44:12, time: 0.198, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1874, decode.acc_seg: 92.3904, loss: 0.1874 +2023-03-04 10:05:21,654 - mmseg - INFO - Iter [133750/160000] lr: 2.344e-06, eta: 1:44:00, time: 0.193, data_time: 0.006, memory: 52540, decode.loss_ce: 0.1809, decode.acc_seg: 92.5658, loss: 0.1809 +2023-03-04 10:05:34,043 - mmseg - INFO - Iter [133800/160000] lr: 2.344e-06, eta: 1:43:48, time: 0.248, data_time: 0.056, memory: 52540, decode.loss_ce: 0.1913, decode.acc_seg: 92.2502, loss: 0.1913 +2023-03-04 10:05:43,678 - mmseg - INFO - Iter [133850/160000] lr: 2.344e-06, eta: 1:43:36, time: 0.193, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1856, decode.acc_seg: 92.3539, loss: 0.1856 +2023-03-04 10:05:53,233 - mmseg - INFO - Iter [133900/160000] lr: 2.344e-06, eta: 1:43:23, time: 0.191, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1847, decode.acc_seg: 92.3982, loss: 0.1847 +2023-03-04 10:06:03,128 - mmseg - INFO - Iter [133950/160000] lr: 2.344e-06, eta: 1:43:11, time: 0.198, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1846, decode.acc_seg: 92.3510, loss: 0.1846 +2023-03-04 10:06:12,808 - mmseg - INFO - Exp name: ablation_segformer_mit_b2_segformer_head_unet_fc_small_multi_step_ade_single_stage.py +2023-03-04 10:06:12,808 - mmseg - INFO - Iter [134000/160000] lr: 2.344e-06, eta: 1:42:59, time: 0.194, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1788, decode.acc_seg: 92.5960, loss: 0.1788 +2023-03-04 10:06:22,615 - mmseg - INFO - Iter [134050/160000] lr: 2.344e-06, eta: 1:42:46, time: 0.196, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1780, decode.acc_seg: 92.6787, loss: 0.1780 +2023-03-04 10:06:32,272 - mmseg - INFO - Iter [134100/160000] lr: 2.344e-06, eta: 1:42:34, time: 0.193, data_time: 0.006, memory: 52540, decode.loss_ce: 0.1792, decode.acc_seg: 92.6787, loss: 0.1792 +2023-03-04 10:06:41,777 - mmseg - INFO - Iter [134150/160000] lr: 2.344e-06, eta: 1:42:22, time: 0.190, data_time: 0.006, memory: 52540, decode.loss_ce: 0.1763, decode.acc_seg: 92.7996, loss: 0.1763 +2023-03-04 10:06:51,334 - mmseg - INFO - Iter [134200/160000] lr: 2.344e-06, eta: 1:42:09, time: 0.191, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1834, decode.acc_seg: 92.4804, loss: 0.1834 +2023-03-04 10:07:00,812 - mmseg - INFO - Iter [134250/160000] lr: 2.344e-06, eta: 1:41:57, time: 0.190, data_time: 0.006, memory: 52540, decode.loss_ce: 0.1860, decode.acc_seg: 92.4204, loss: 0.1860 +2023-03-04 10:07:10,301 - mmseg - INFO - Iter [134300/160000] lr: 2.344e-06, eta: 1:41:45, time: 0.190, data_time: 0.006, memory: 52540, decode.loss_ce: 0.1872, decode.acc_seg: 92.2121, loss: 0.1872 +2023-03-04 10:07:19,817 - mmseg - INFO - Iter [134350/160000] lr: 2.344e-06, eta: 1:41:32, time: 0.190, data_time: 0.006, memory: 52540, decode.loss_ce: 0.1841, decode.acc_seg: 92.3141, loss: 0.1841 +2023-03-04 10:07:29,545 - mmseg - INFO - Iter [134400/160000] lr: 2.344e-06, eta: 1:41:20, time: 0.195, data_time: 0.006, memory: 52540, decode.loss_ce: 0.1810, decode.acc_seg: 92.4146, loss: 0.1810 +2023-03-04 10:07:41,632 - mmseg - INFO - Iter [134450/160000] lr: 2.344e-06, eta: 1:41:08, time: 0.242, data_time: 0.053, memory: 52540, decode.loss_ce: 0.1869, decode.acc_seg: 92.4252, loss: 0.1869 +2023-03-04 10:07:51,223 - mmseg - INFO - Iter [134500/160000] lr: 2.344e-06, eta: 1:40:56, time: 0.192, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1817, decode.acc_seg: 92.6400, loss: 0.1817 +2023-03-04 10:08:00,775 - mmseg - INFO - Iter [134550/160000] lr: 2.344e-06, eta: 1:40:44, time: 0.191, data_time: 0.006, memory: 52540, decode.loss_ce: 0.1788, decode.acc_seg: 92.5180, loss: 0.1788 +2023-03-04 10:08:10,684 - mmseg - INFO - Iter [134600/160000] lr: 2.344e-06, eta: 1:40:31, time: 0.198, data_time: 0.006, memory: 52540, decode.loss_ce: 0.1863, decode.acc_seg: 92.3413, loss: 0.1863 +2023-03-04 10:08:20,198 - mmseg - INFO - Iter [134650/160000] lr: 2.344e-06, eta: 1:40:19, time: 0.190, data_time: 0.006, memory: 52540, decode.loss_ce: 0.1838, decode.acc_seg: 92.4117, loss: 0.1838 +2023-03-04 10:08:29,777 - mmseg - INFO - Iter [134700/160000] lr: 2.344e-06, eta: 1:40:07, time: 0.192, data_time: 0.006, memory: 52540, decode.loss_ce: 0.1815, decode.acc_seg: 92.4504, loss: 0.1815 +2023-03-04 10:08:39,313 - mmseg - INFO - Iter [134750/160000] lr: 2.344e-06, eta: 1:39:54, time: 0.191, data_time: 0.006, memory: 52540, decode.loss_ce: 0.1797, decode.acc_seg: 92.6688, loss: 0.1797 +2023-03-04 10:08:48,827 - mmseg - INFO - Iter [134800/160000] lr: 2.344e-06, eta: 1:39:42, time: 0.190, data_time: 0.006, memory: 52540, decode.loss_ce: 0.1851, decode.acc_seg: 92.4417, loss: 0.1851 +2023-03-04 10:08:58,773 - mmseg - INFO - Iter [134850/160000] lr: 2.344e-06, eta: 1:39:30, time: 0.199, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1829, decode.acc_seg: 92.5883, loss: 0.1829 +2023-03-04 10:09:08,430 - mmseg - INFO - Iter [134900/160000] lr: 2.344e-06, eta: 1:39:18, time: 0.193, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1791, decode.acc_seg: 92.4598, loss: 0.1791 +2023-03-04 10:09:18,485 - mmseg - INFO - Iter [134950/160000] lr: 2.344e-06, eta: 1:39:05, time: 0.201, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1906, decode.acc_seg: 92.2204, loss: 0.1906 +2023-03-04 10:09:28,303 - mmseg - INFO - Exp name: ablation_segformer_mit_b2_segformer_head_unet_fc_small_multi_step_ade_single_stage.py +2023-03-04 10:09:28,303 - mmseg - INFO - Iter [135000/160000] lr: 2.344e-06, eta: 1:38:53, time: 0.196, data_time: 0.006, memory: 52540, decode.loss_ce: 0.1843, decode.acc_seg: 92.5228, loss: 0.1843 +2023-03-04 10:09:40,451 - mmseg - INFO - Iter [135050/160000] lr: 2.344e-06, eta: 1:38:41, time: 0.243, data_time: 0.056, memory: 52540, decode.loss_ce: 0.1849, decode.acc_seg: 92.5308, loss: 0.1849 +2023-03-04 10:09:50,182 - mmseg - INFO - Iter [135100/160000] lr: 2.344e-06, eta: 1:38:29, time: 0.195, data_time: 0.006, memory: 52540, decode.loss_ce: 0.1860, decode.acc_seg: 92.3541, loss: 0.1860 +2023-03-04 10:09:59,800 - mmseg - INFO - Iter [135150/160000] lr: 2.344e-06, eta: 1:38:17, time: 0.192, data_time: 0.006, memory: 52540, decode.loss_ce: 0.1877, decode.acc_seg: 92.3497, loss: 0.1877 +2023-03-04 10:10:09,611 - mmseg - INFO - Iter [135200/160000] lr: 2.344e-06, eta: 1:38:05, time: 0.196, data_time: 0.006, memory: 52540, decode.loss_ce: 0.1834, decode.acc_seg: 92.3913, loss: 0.1834 +2023-03-04 10:10:19,757 - mmseg - INFO - Iter [135250/160000] lr: 2.344e-06, eta: 1:37:52, time: 0.203, data_time: 0.006, memory: 52540, decode.loss_ce: 0.1841, decode.acc_seg: 92.4833, loss: 0.1841 +2023-03-04 10:10:29,837 - mmseg - INFO - Iter [135300/160000] lr: 2.344e-06, eta: 1:37:40, time: 0.202, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1862, decode.acc_seg: 92.3376, loss: 0.1862 +2023-03-04 10:10:39,296 - mmseg - INFO - Iter [135350/160000] lr: 2.344e-06, eta: 1:37:28, time: 0.189, data_time: 0.006, memory: 52540, decode.loss_ce: 0.1835, decode.acc_seg: 92.4385, loss: 0.1835 +2023-03-04 10:10:48,840 - mmseg - INFO - Iter [135400/160000] lr: 2.344e-06, eta: 1:37:16, time: 0.191, data_time: 0.006, memory: 52540, decode.loss_ce: 0.1720, decode.acc_seg: 92.9178, loss: 0.1720 +2023-03-04 10:10:58,674 - mmseg - INFO - Iter [135450/160000] lr: 2.344e-06, eta: 1:37:03, time: 0.197, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1778, decode.acc_seg: 92.6188, loss: 0.1778 +2023-03-04 10:11:08,679 - mmseg - INFO - Iter [135500/160000] lr: 2.344e-06, eta: 1:36:51, time: 0.200, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1767, decode.acc_seg: 92.6452, loss: 0.1767 +2023-03-04 10:11:18,336 - mmseg - INFO - Iter [135550/160000] lr: 2.344e-06, eta: 1:36:39, time: 0.193, data_time: 0.006, memory: 52540, decode.loss_ce: 0.1848, decode.acc_seg: 92.4755, loss: 0.1848 +2023-03-04 10:11:28,008 - mmseg - INFO - Iter [135600/160000] lr: 2.344e-06, eta: 1:36:27, time: 0.193, data_time: 0.006, memory: 52540, decode.loss_ce: 0.1924, decode.acc_seg: 92.2324, loss: 0.1924 +2023-03-04 10:11:37,493 - mmseg - INFO - Iter [135650/160000] lr: 2.344e-06, eta: 1:36:14, time: 0.190, data_time: 0.006, memory: 52540, decode.loss_ce: 0.1875, decode.acc_seg: 92.3799, loss: 0.1875 +2023-03-04 10:11:49,757 - mmseg - INFO - Iter [135700/160000] lr: 2.344e-06, eta: 1:36:03, time: 0.245, data_time: 0.053, memory: 52540, decode.loss_ce: 0.1870, decode.acc_seg: 92.2474, loss: 0.1870 +2023-03-04 10:11:59,426 - mmseg - INFO - Iter [135750/160000] lr: 2.344e-06, eta: 1:35:50, time: 0.193, data_time: 0.006, memory: 52540, decode.loss_ce: 0.1832, decode.acc_seg: 92.5972, loss: 0.1832 +2023-03-04 10:12:09,092 - mmseg - INFO - Iter [135800/160000] lr: 2.344e-06, eta: 1:35:38, time: 0.193, data_time: 0.006, memory: 52540, decode.loss_ce: 0.1838, decode.acc_seg: 92.4189, loss: 0.1838 +2023-03-04 10:12:19,052 - mmseg - INFO - Iter [135850/160000] lr: 2.344e-06, eta: 1:35:26, time: 0.199, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1871, decode.acc_seg: 92.3234, loss: 0.1871 +2023-03-04 10:12:28,646 - mmseg - INFO - Iter [135900/160000] lr: 2.344e-06, eta: 1:35:14, time: 0.192, data_time: 0.006, memory: 52540, decode.loss_ce: 0.1914, decode.acc_seg: 92.2584, loss: 0.1914 +2023-03-04 10:12:38,315 - mmseg - INFO - Iter [135950/160000] lr: 2.344e-06, eta: 1:35:01, time: 0.193, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1826, decode.acc_seg: 92.4986, loss: 0.1826 +2023-03-04 10:12:47,927 - mmseg - INFO - Exp name: ablation_segformer_mit_b2_segformer_head_unet_fc_small_multi_step_ade_single_stage.py +2023-03-04 10:12:47,927 - mmseg - INFO - Iter [136000/160000] lr: 2.344e-06, eta: 1:34:49, time: 0.192, data_time: 0.006, memory: 52540, decode.loss_ce: 0.1887, decode.acc_seg: 92.3063, loss: 0.1887 +2023-03-04 10:12:57,599 - mmseg - INFO - Iter [136050/160000] lr: 2.344e-06, eta: 1:34:37, time: 0.193, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1826, decode.acc_seg: 92.4869, loss: 0.1826 +2023-03-04 10:13:07,446 - mmseg - INFO - Iter [136100/160000] lr: 2.344e-06, eta: 1:34:25, time: 0.197, data_time: 0.006, memory: 52540, decode.loss_ce: 0.1900, decode.acc_seg: 92.2402, loss: 0.1900 +2023-03-04 10:13:17,134 - mmseg - INFO - Iter [136150/160000] lr: 2.344e-06, eta: 1:34:12, time: 0.193, data_time: 0.006, memory: 52540, decode.loss_ce: 0.1846, decode.acc_seg: 92.3871, loss: 0.1846 +2023-03-04 10:13:27,015 - mmseg - INFO - Iter [136200/160000] lr: 2.344e-06, eta: 1:34:00, time: 0.198, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1875, decode.acc_seg: 92.4537, loss: 0.1875 +2023-03-04 10:13:36,954 - mmseg - INFO - Iter [136250/160000] lr: 2.344e-06, eta: 1:33:48, time: 0.199, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1816, decode.acc_seg: 92.4910, loss: 0.1816 +2023-03-04 10:13:49,003 - mmseg - INFO - Iter [136300/160000] lr: 2.344e-06, eta: 1:33:36, time: 0.241, data_time: 0.057, memory: 52540, decode.loss_ce: 0.1856, decode.acc_seg: 92.4437, loss: 0.1856 +2023-03-04 10:13:58,650 - mmseg - INFO - Iter [136350/160000] lr: 2.344e-06, eta: 1:33:24, time: 0.193, data_time: 0.006, memory: 52540, decode.loss_ce: 0.1874, decode.acc_seg: 92.4058, loss: 0.1874 +2023-03-04 10:14:08,337 - mmseg - INFO - Iter [136400/160000] lr: 2.344e-06, eta: 1:33:12, time: 0.194, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1827, decode.acc_seg: 92.4497, loss: 0.1827 +2023-03-04 10:14:17,901 - mmseg - INFO - Iter [136450/160000] lr: 2.344e-06, eta: 1:33:00, time: 0.191, data_time: 0.006, memory: 52540, decode.loss_ce: 0.1789, decode.acc_seg: 92.5798, loss: 0.1789 +2023-03-04 10:14:27,555 - mmseg - INFO - Iter [136500/160000] lr: 2.344e-06, eta: 1:32:47, time: 0.193, data_time: 0.006, memory: 52540, decode.loss_ce: 0.1756, decode.acc_seg: 92.6309, loss: 0.1756 +2023-03-04 10:14:37,659 - mmseg - INFO - Iter [136550/160000] lr: 2.344e-06, eta: 1:32:35, time: 0.202, data_time: 0.006, memory: 52540, decode.loss_ce: 0.1872, decode.acc_seg: 92.2975, loss: 0.1872 +2023-03-04 10:14:47,281 - mmseg - INFO - Iter [136600/160000] lr: 2.344e-06, eta: 1:32:23, time: 0.192, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1865, decode.acc_seg: 92.2957, loss: 0.1865 +2023-03-04 10:14:57,390 - mmseg - INFO - Iter [136650/160000] lr: 2.344e-06, eta: 1:32:11, time: 0.202, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1805, decode.acc_seg: 92.5836, loss: 0.1805 +2023-03-04 10:15:07,172 - mmseg - INFO - Iter [136700/160000] lr: 2.344e-06, eta: 1:31:59, time: 0.196, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1828, decode.acc_seg: 92.4469, loss: 0.1828 +2023-03-04 10:15:16,847 - mmseg - INFO - Iter [136750/160000] lr: 2.344e-06, eta: 1:31:46, time: 0.193, data_time: 0.006, memory: 52540, decode.loss_ce: 0.1851, decode.acc_seg: 92.3903, loss: 0.1851 +2023-03-04 10:15:26,521 - mmseg - INFO - Iter [136800/160000] lr: 2.344e-06, eta: 1:31:34, time: 0.193, data_time: 0.006, memory: 52540, decode.loss_ce: 0.1888, decode.acc_seg: 92.2851, loss: 0.1888 +2023-03-04 10:15:36,071 - mmseg - INFO - Iter [136850/160000] lr: 2.344e-06, eta: 1:31:22, time: 0.191, data_time: 0.006, memory: 52540, decode.loss_ce: 0.1828, decode.acc_seg: 92.5784, loss: 0.1828 +2023-03-04 10:15:45,830 - mmseg - INFO - Iter [136900/160000] lr: 2.344e-06, eta: 1:31:10, time: 0.195, data_time: 0.006, memory: 52540, decode.loss_ce: 0.1777, decode.acc_seg: 92.5548, loss: 0.1777 +2023-03-04 10:15:58,200 - mmseg - INFO - Iter [136950/160000] lr: 2.344e-06, eta: 1:30:58, time: 0.247, data_time: 0.055, memory: 52540, decode.loss_ce: 0.1856, decode.acc_seg: 92.4249, loss: 0.1856 +2023-03-04 10:16:07,941 - mmseg - INFO - Exp name: ablation_segformer_mit_b2_segformer_head_unet_fc_small_multi_step_ade_single_stage.py +2023-03-04 10:16:07,941 - mmseg - INFO - Iter [137000/160000] lr: 2.344e-06, eta: 1:30:46, time: 0.195, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1874, decode.acc_seg: 92.3396, loss: 0.1874 +2023-03-04 10:16:17,665 - mmseg - INFO - Iter [137050/160000] lr: 2.344e-06, eta: 1:30:34, time: 0.194, data_time: 0.006, memory: 52540, decode.loss_ce: 0.1819, decode.acc_seg: 92.4521, loss: 0.1819 +2023-03-04 10:16:27,306 - mmseg - INFO - Iter [137100/160000] lr: 2.344e-06, eta: 1:30:21, time: 0.193, data_time: 0.006, memory: 52540, decode.loss_ce: 0.1902, decode.acc_seg: 92.3060, loss: 0.1902 +2023-03-04 10:16:36,931 - mmseg - INFO - Iter [137150/160000] lr: 2.344e-06, eta: 1:30:09, time: 0.193, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1795, decode.acc_seg: 92.5579, loss: 0.1795 +2023-03-04 10:16:46,413 - mmseg - INFO - Iter [137200/160000] lr: 2.344e-06, eta: 1:29:57, time: 0.190, data_time: 0.006, memory: 52540, decode.loss_ce: 0.1787, decode.acc_seg: 92.6819, loss: 0.1787 +2023-03-04 10:16:56,160 - mmseg - INFO - Iter [137250/160000] lr: 2.344e-06, eta: 1:29:45, time: 0.195, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1854, decode.acc_seg: 92.5555, loss: 0.1854 +2023-03-04 10:17:05,974 - mmseg - INFO - Iter [137300/160000] lr: 2.344e-06, eta: 1:29:33, time: 0.196, data_time: 0.006, memory: 52540, decode.loss_ce: 0.1792, decode.acc_seg: 92.6079, loss: 0.1792 +2023-03-04 10:17:15,621 - mmseg - INFO - Iter [137350/160000] lr: 2.344e-06, eta: 1:29:20, time: 0.193, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1948, decode.acc_seg: 92.0823, loss: 0.1948 +2023-03-04 10:17:25,249 - mmseg - INFO - Iter [137400/160000] lr: 2.344e-06, eta: 1:29:08, time: 0.193, data_time: 0.006, memory: 52540, decode.loss_ce: 0.1827, decode.acc_seg: 92.5296, loss: 0.1827 +2023-03-04 10:17:35,206 - mmseg - INFO - Iter [137450/160000] lr: 2.344e-06, eta: 1:28:56, time: 0.199, data_time: 0.006, memory: 52540, decode.loss_ce: 0.1843, decode.acc_seg: 92.4496, loss: 0.1843 +2023-03-04 10:17:44,850 - mmseg - INFO - Iter [137500/160000] lr: 2.344e-06, eta: 1:28:44, time: 0.193, data_time: 0.006, memory: 52540, decode.loss_ce: 0.1802, decode.acc_seg: 92.5087, loss: 0.1802 +2023-03-04 10:17:54,687 - mmseg - INFO - Iter [137550/160000] lr: 2.344e-06, eta: 1:28:32, time: 0.197, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1844, decode.acc_seg: 92.4657, loss: 0.1844 +2023-03-04 10:18:06,687 - mmseg - INFO - Iter [137600/160000] lr: 2.344e-06, eta: 1:28:20, time: 0.240, data_time: 0.054, memory: 52540, decode.loss_ce: 0.1826, decode.acc_seg: 92.4962, loss: 0.1826 +2023-03-04 10:18:16,476 - mmseg - INFO - Iter [137650/160000] lr: 2.344e-06, eta: 1:28:08, time: 0.196, data_time: 0.006, memory: 52540, decode.loss_ce: 0.1807, decode.acc_seg: 92.6126, loss: 0.1807 +2023-03-04 10:18:26,051 - mmseg - INFO - Iter [137700/160000] lr: 2.344e-06, eta: 1:27:56, time: 0.191, data_time: 0.006, memory: 52540, decode.loss_ce: 0.1905, decode.acc_seg: 92.1654, loss: 0.1905 +2023-03-04 10:18:36,124 - mmseg - INFO - Iter [137750/160000] lr: 2.344e-06, eta: 1:27:43, time: 0.202, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1910, decode.acc_seg: 92.1766, loss: 0.1910 +2023-03-04 10:18:45,777 - mmseg - INFO - Iter [137800/160000] lr: 2.344e-06, eta: 1:27:31, time: 0.193, data_time: 0.006, memory: 52540, decode.loss_ce: 0.1918, decode.acc_seg: 92.3734, loss: 0.1918 +2023-03-04 10:18:55,603 - mmseg - INFO - Iter [137850/160000] lr: 2.344e-06, eta: 1:27:19, time: 0.197, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1812, decode.acc_seg: 92.4002, loss: 0.1812 +2023-03-04 10:19:05,485 - mmseg - INFO - Iter [137900/160000] lr: 2.344e-06, eta: 1:27:07, time: 0.198, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1876, decode.acc_seg: 92.3004, loss: 0.1876 +2023-03-04 10:19:15,112 - mmseg - INFO - Iter [137950/160000] lr: 2.344e-06, eta: 1:26:55, time: 0.192, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1800, decode.acc_seg: 92.5757, loss: 0.1800 +2023-03-04 10:19:25,059 - mmseg - INFO - Exp name: ablation_segformer_mit_b2_segformer_head_unet_fc_small_multi_step_ade_single_stage.py +2023-03-04 10:19:25,059 - mmseg - INFO - Iter [138000/160000] lr: 2.344e-06, eta: 1:26:43, time: 0.199, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1848, decode.acc_seg: 92.4185, loss: 0.1848 +2023-03-04 10:19:34,807 - mmseg - INFO - Iter [138050/160000] lr: 2.344e-06, eta: 1:26:31, time: 0.195, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1812, decode.acc_seg: 92.6469, loss: 0.1812 +2023-03-04 10:19:44,540 - mmseg - INFO - Iter [138100/160000] lr: 2.344e-06, eta: 1:26:18, time: 0.195, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1864, decode.acc_seg: 92.4632, loss: 0.1864 +2023-03-04 10:19:54,070 - mmseg - INFO - Iter [138150/160000] lr: 2.344e-06, eta: 1:26:06, time: 0.191, data_time: 0.006, memory: 52540, decode.loss_ce: 0.1790, decode.acc_seg: 92.7057, loss: 0.1790 +2023-03-04 10:20:06,154 - mmseg - INFO - Iter [138200/160000] lr: 2.344e-06, eta: 1:25:54, time: 0.241, data_time: 0.057, memory: 52540, decode.loss_ce: 0.1748, decode.acc_seg: 92.7132, loss: 0.1748 +2023-03-04 10:20:15,892 - mmseg - INFO - Iter [138250/160000] lr: 2.344e-06, eta: 1:25:42, time: 0.195, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1767, decode.acc_seg: 92.7597, loss: 0.1767 +2023-03-04 10:20:25,505 - mmseg - INFO - Iter [138300/160000] lr: 2.344e-06, eta: 1:25:30, time: 0.192, data_time: 0.006, memory: 52540, decode.loss_ce: 0.1772, decode.acc_seg: 92.6647, loss: 0.1772 +2023-03-04 10:20:35,588 - mmseg - INFO - Iter [138350/160000] lr: 2.344e-06, eta: 1:25:18, time: 0.202, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1906, decode.acc_seg: 92.0604, loss: 0.1906 +2023-03-04 10:20:45,360 - mmseg - INFO - Iter [138400/160000] lr: 2.344e-06, eta: 1:25:06, time: 0.195, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1806, decode.acc_seg: 92.5490, loss: 0.1806 +2023-03-04 10:20:55,086 - mmseg - INFO - Iter [138450/160000] lr: 2.344e-06, eta: 1:24:54, time: 0.195, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1787, decode.acc_seg: 92.5084, loss: 0.1787 +2023-03-04 10:21:04,751 - mmseg - INFO - Iter [138500/160000] lr: 2.344e-06, eta: 1:24:42, time: 0.193, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1901, decode.acc_seg: 92.1880, loss: 0.1901 +2023-03-04 10:21:14,354 - mmseg - INFO - Iter [138550/160000] lr: 2.344e-06, eta: 1:24:29, time: 0.192, data_time: 0.006, memory: 52540, decode.loss_ce: 0.1786, decode.acc_seg: 92.7264, loss: 0.1786 +2023-03-04 10:21:24,093 - mmseg - INFO - Iter [138600/160000] lr: 2.344e-06, eta: 1:24:17, time: 0.195, data_time: 0.006, memory: 52540, decode.loss_ce: 0.1835, decode.acc_seg: 92.4491, loss: 0.1835 +2023-03-04 10:21:33,740 - mmseg - INFO - Iter [138650/160000] lr: 2.344e-06, eta: 1:24:05, time: 0.193, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1882, decode.acc_seg: 92.3541, loss: 0.1882 +2023-03-04 10:21:43,332 - mmseg - INFO - Iter [138700/160000] lr: 2.344e-06, eta: 1:23:53, time: 0.192, data_time: 0.006, memory: 52540, decode.loss_ce: 0.1906, decode.acc_seg: 92.3168, loss: 0.1906 +2023-03-04 10:21:52,931 - mmseg - INFO - Iter [138750/160000] lr: 2.344e-06, eta: 1:23:41, time: 0.192, data_time: 0.006, memory: 52540, decode.loss_ce: 0.1779, decode.acc_seg: 92.5813, loss: 0.1779 +2023-03-04 10:22:02,538 - mmseg - INFO - Iter [138800/160000] lr: 2.344e-06, eta: 1:23:29, time: 0.192, data_time: 0.006, memory: 52540, decode.loss_ce: 0.1888, decode.acc_seg: 92.2809, loss: 0.1888 +2023-03-04 10:22:14,775 - mmseg - INFO - Iter [138850/160000] lr: 2.344e-06, eta: 1:23:17, time: 0.245, data_time: 0.053, memory: 52540, decode.loss_ce: 0.1887, decode.acc_seg: 92.3605, loss: 0.1887 +2023-03-04 10:22:24,382 - mmseg - INFO - Iter [138900/160000] lr: 2.344e-06, eta: 1:23:05, time: 0.192, data_time: 0.006, memory: 52540, decode.loss_ce: 0.1818, decode.acc_seg: 92.4522, loss: 0.1818 +2023-03-04 10:22:34,039 - mmseg - INFO - Iter [138950/160000] lr: 2.344e-06, eta: 1:22:53, time: 0.193, data_time: 0.006, memory: 52540, decode.loss_ce: 0.1867, decode.acc_seg: 92.3989, loss: 0.1867 +2023-03-04 10:22:44,053 - mmseg - INFO - Exp name: ablation_segformer_mit_b2_segformer_head_unet_fc_small_multi_step_ade_single_stage.py +2023-03-04 10:22:44,053 - mmseg - INFO - Iter [139000/160000] lr: 2.344e-06, eta: 1:22:41, time: 0.200, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1868, decode.acc_seg: 92.3961, loss: 0.1868 +2023-03-04 10:22:53,633 - mmseg - INFO - Iter [139050/160000] lr: 2.344e-06, eta: 1:22:28, time: 0.192, data_time: 0.006, memory: 52540, decode.loss_ce: 0.1789, decode.acc_seg: 92.6794, loss: 0.1789 +2023-03-04 10:23:03,435 - mmseg - INFO - Iter [139100/160000] lr: 2.344e-06, eta: 1:22:16, time: 0.196, data_time: 0.006, memory: 52540, decode.loss_ce: 0.1862, decode.acc_seg: 92.4176, loss: 0.1862 +2023-03-04 10:23:12,994 - mmseg - INFO - Iter [139150/160000] lr: 2.344e-06, eta: 1:22:04, time: 0.191, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1827, decode.acc_seg: 92.4516, loss: 0.1827 +2023-03-04 10:23:22,684 - mmseg - INFO - Iter [139200/160000] lr: 2.344e-06, eta: 1:21:52, time: 0.194, data_time: 0.006, memory: 52540, decode.loss_ce: 0.1886, decode.acc_seg: 92.2844, loss: 0.1886 +2023-03-04 10:23:32,141 - mmseg - INFO - Iter [139250/160000] lr: 2.344e-06, eta: 1:21:40, time: 0.189, data_time: 0.006, memory: 52540, decode.loss_ce: 0.1841, decode.acc_seg: 92.3837, loss: 0.1841 +2023-03-04 10:23:41,903 - mmseg - INFO - Iter [139300/160000] lr: 2.344e-06, eta: 1:21:28, time: 0.195, data_time: 0.006, memory: 52540, decode.loss_ce: 0.1885, decode.acc_seg: 92.2247, loss: 0.1885 +2023-03-04 10:23:51,511 - mmseg - INFO - Iter [139350/160000] lr: 2.344e-06, eta: 1:21:16, time: 0.192, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1845, decode.acc_seg: 92.4228, loss: 0.1845 +2023-03-04 10:24:01,153 - mmseg - INFO - Iter [139400/160000] lr: 2.344e-06, eta: 1:21:03, time: 0.193, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1868, decode.acc_seg: 92.3583, loss: 0.1868 +2023-03-04 10:24:10,628 - mmseg - INFO - Iter [139450/160000] lr: 2.344e-06, eta: 1:20:51, time: 0.189, data_time: 0.006, memory: 52540, decode.loss_ce: 0.1853, decode.acc_seg: 92.3640, loss: 0.1853 +2023-03-04 10:24:22,833 - mmseg - INFO - Iter [139500/160000] lr: 2.344e-06, eta: 1:20:40, time: 0.244, data_time: 0.053, memory: 52540, decode.loss_ce: 0.1821, decode.acc_seg: 92.5559, loss: 0.1821 +2023-03-04 10:24:32,578 - mmseg - INFO - Iter [139550/160000] lr: 2.344e-06, eta: 1:20:27, time: 0.195, data_time: 0.006, memory: 52540, decode.loss_ce: 0.1849, decode.acc_seg: 92.3800, loss: 0.1849 +2023-03-04 10:24:42,387 - mmseg - INFO - Iter [139600/160000] lr: 2.344e-06, eta: 1:20:15, time: 0.196, data_time: 0.006, memory: 52540, decode.loss_ce: 0.1912, decode.acc_seg: 92.2406, loss: 0.1912 +2023-03-04 10:24:52,049 - mmseg - INFO - Iter [139650/160000] lr: 2.344e-06, eta: 1:20:03, time: 0.193, data_time: 0.006, memory: 52540, decode.loss_ce: 0.1859, decode.acc_seg: 92.3330, loss: 0.1859 +2023-03-04 10:25:01,822 - mmseg - INFO - Iter [139700/160000] lr: 2.344e-06, eta: 1:19:51, time: 0.195, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1810, decode.acc_seg: 92.4942, loss: 0.1810 +2023-03-04 10:25:11,591 - mmseg - INFO - Iter [139750/160000] lr: 2.344e-06, eta: 1:19:39, time: 0.195, data_time: 0.006, memory: 52540, decode.loss_ce: 0.1811, decode.acc_seg: 92.5521, loss: 0.1811 +2023-03-04 10:25:21,275 - mmseg - INFO - Iter [139800/160000] lr: 2.344e-06, eta: 1:19:27, time: 0.194, data_time: 0.006, memory: 52540, decode.loss_ce: 0.1834, decode.acc_seg: 92.4856, loss: 0.1834 +2023-03-04 10:25:31,070 - mmseg - INFO - Iter [139850/160000] lr: 2.344e-06, eta: 1:19:15, time: 0.196, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1862, decode.acc_seg: 92.2633, loss: 0.1862 +2023-03-04 10:25:40,725 - mmseg - INFO - Iter [139900/160000] lr: 2.344e-06, eta: 1:19:03, time: 0.193, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1783, decode.acc_seg: 92.6824, loss: 0.1783 +2023-03-04 10:25:50,499 - mmseg - INFO - Iter [139950/160000] lr: 2.344e-06, eta: 1:18:51, time: 0.195, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1879, decode.acc_seg: 92.4727, loss: 0.1879 +2023-03-04 10:26:00,232 - mmseg - INFO - Exp name: ablation_segformer_mit_b2_segformer_head_unet_fc_small_multi_step_ade_single_stage.py +2023-03-04 10:26:00,232 - mmseg - INFO - Iter [140000/160000] lr: 2.344e-06, eta: 1:18:39, time: 0.195, data_time: 0.006, memory: 52540, decode.loss_ce: 0.1813, decode.acc_seg: 92.5217, loss: 0.1813 +2023-03-04 10:26:10,052 - mmseg - INFO - Iter [140050/160000] lr: 1.172e-06, eta: 1:18:26, time: 0.196, data_time: 0.006, memory: 52540, decode.loss_ce: 0.1865, decode.acc_seg: 92.4445, loss: 0.1865 +2023-03-04 10:26:22,242 - mmseg - INFO - Iter [140100/160000] lr: 1.172e-06, eta: 1:18:15, time: 0.244, data_time: 0.057, memory: 52540, decode.loss_ce: 0.1793, decode.acc_seg: 92.5586, loss: 0.1793 +2023-03-04 10:26:31,738 - mmseg - INFO - Iter [140150/160000] lr: 1.172e-06, eta: 1:18:03, time: 0.190, data_time: 0.006, memory: 52540, decode.loss_ce: 0.1867, decode.acc_seg: 92.4092, loss: 0.1867 +2023-03-04 10:26:41,223 - mmseg - INFO - Iter [140200/160000] lr: 1.172e-06, eta: 1:17:51, time: 0.190, data_time: 0.006, memory: 52540, decode.loss_ce: 0.1760, decode.acc_seg: 92.6407, loss: 0.1760 +2023-03-04 10:26:50,756 - mmseg - INFO - Iter [140250/160000] lr: 1.172e-06, eta: 1:17:38, time: 0.191, data_time: 0.006, memory: 52540, decode.loss_ce: 0.1802, decode.acc_seg: 92.5656, loss: 0.1802 +2023-03-04 10:27:00,269 - mmseg - INFO - Iter [140300/160000] lr: 1.172e-06, eta: 1:17:26, time: 0.190, data_time: 0.006, memory: 52540, decode.loss_ce: 0.1840, decode.acc_seg: 92.3385, loss: 0.1840 +2023-03-04 10:27:09,904 - mmseg - INFO - Iter [140350/160000] lr: 1.172e-06, eta: 1:17:14, time: 0.193, data_time: 0.006, memory: 52540, decode.loss_ce: 0.1849, decode.acc_seg: 92.4732, loss: 0.1849 +2023-03-04 10:27:19,357 - mmseg - INFO - Iter [140400/160000] lr: 1.172e-06, eta: 1:17:02, time: 0.189, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1810, decode.acc_seg: 92.4750, loss: 0.1810 +2023-03-04 10:27:28,937 - mmseg - INFO - Iter [140450/160000] lr: 1.172e-06, eta: 1:16:50, time: 0.192, data_time: 0.006, memory: 52540, decode.loss_ce: 0.1831, decode.acc_seg: 92.4793, loss: 0.1831 +2023-03-04 10:27:38,530 - mmseg - INFO - Iter [140500/160000] lr: 1.172e-06, eta: 1:16:38, time: 0.192, data_time: 0.006, memory: 52540, decode.loss_ce: 0.1854, decode.acc_seg: 92.4636, loss: 0.1854 +2023-03-04 10:27:48,131 - mmseg - INFO - Iter [140550/160000] lr: 1.172e-06, eta: 1:16:26, time: 0.192, data_time: 0.006, memory: 52540, decode.loss_ce: 0.1757, decode.acc_seg: 92.9996, loss: 0.1757 +2023-03-04 10:27:57,683 - mmseg - INFO - Iter [140600/160000] lr: 1.172e-06, eta: 1:16:14, time: 0.191, data_time: 0.006, memory: 52540, decode.loss_ce: 0.1839, decode.acc_seg: 92.4655, loss: 0.1839 +2023-03-04 10:28:07,303 - mmseg - INFO - Iter [140650/160000] lr: 1.172e-06, eta: 1:16:02, time: 0.192, data_time: 0.006, memory: 52540, decode.loss_ce: 0.1843, decode.acc_seg: 92.4489, loss: 0.1843 +2023-03-04 10:28:16,962 - mmseg - INFO - Iter [140700/160000] lr: 1.172e-06, eta: 1:15:49, time: 0.193, data_time: 0.006, memory: 52540, decode.loss_ce: 0.1852, decode.acc_seg: 92.4539, loss: 0.1852 +2023-03-04 10:28:29,194 - mmseg - INFO - Iter [140750/160000] lr: 1.172e-06, eta: 1:15:38, time: 0.245, data_time: 0.055, memory: 52540, decode.loss_ce: 0.1861, decode.acc_seg: 92.3910, loss: 0.1861 +2023-03-04 10:28:38,954 - mmseg - INFO - Iter [140800/160000] lr: 1.172e-06, eta: 1:15:26, time: 0.195, data_time: 0.006, memory: 52540, decode.loss_ce: 0.1892, decode.acc_seg: 92.2393, loss: 0.1892 +2023-03-04 10:28:48,637 - mmseg - INFO - Iter [140850/160000] lr: 1.172e-06, eta: 1:15:14, time: 0.194, data_time: 0.006, memory: 52540, decode.loss_ce: 0.1902, decode.acc_seg: 92.2275, loss: 0.1902 +2023-03-04 10:28:58,187 - mmseg - INFO - Iter [140900/160000] lr: 1.172e-06, eta: 1:15:02, time: 0.191, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1783, decode.acc_seg: 92.6454, loss: 0.1783 +2023-03-04 10:29:08,030 - mmseg - INFO - Iter [140950/160000] lr: 1.172e-06, eta: 1:14:49, time: 0.197, data_time: 0.006, memory: 52540, decode.loss_ce: 0.1800, decode.acc_seg: 92.6539, loss: 0.1800 +2023-03-04 10:29:17,626 - mmseg - INFO - Exp name: ablation_segformer_mit_b2_segformer_head_unet_fc_small_multi_step_ade_single_stage.py +2023-03-04 10:29:17,626 - mmseg - INFO - Iter [141000/160000] lr: 1.172e-06, eta: 1:14:37, time: 0.192, data_time: 0.006, memory: 52540, decode.loss_ce: 0.1834, decode.acc_seg: 92.4323, loss: 0.1834 +2023-03-04 10:29:27,140 - mmseg - INFO - Iter [141050/160000] lr: 1.172e-06, eta: 1:14:25, time: 0.190, data_time: 0.006, memory: 52540, decode.loss_ce: 0.1766, decode.acc_seg: 92.6649, loss: 0.1766 +2023-03-04 10:29:36,697 - mmseg - INFO - Iter [141100/160000] lr: 1.172e-06, eta: 1:14:13, time: 0.191, data_time: 0.006, memory: 52540, decode.loss_ce: 0.1908, decode.acc_seg: 92.2585, loss: 0.1908 +2023-03-04 10:29:46,478 - mmseg - INFO - Iter [141150/160000] lr: 1.172e-06, eta: 1:14:01, time: 0.195, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1856, decode.acc_seg: 92.4844, loss: 0.1856 +2023-03-04 10:29:56,189 - mmseg - INFO - Iter [141200/160000] lr: 1.172e-06, eta: 1:13:49, time: 0.194, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1881, decode.acc_seg: 92.2158, loss: 0.1881 +2023-03-04 10:30:06,058 - mmseg - INFO - Iter [141250/160000] lr: 1.172e-06, eta: 1:13:37, time: 0.197, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1834, decode.acc_seg: 92.4159, loss: 0.1834 +2023-03-04 10:30:15,848 - mmseg - INFO - Iter [141300/160000] lr: 1.172e-06, eta: 1:13:25, time: 0.196, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1874, decode.acc_seg: 92.3635, loss: 0.1874 +2023-03-04 10:30:27,834 - mmseg - INFO - Iter [141350/160000] lr: 1.172e-06, eta: 1:13:13, time: 0.240, data_time: 0.056, memory: 52540, decode.loss_ce: 0.1857, decode.acc_seg: 92.4847, loss: 0.1857 +2023-03-04 10:30:37,528 - mmseg - INFO - Iter [141400/160000] lr: 1.172e-06, eta: 1:13:01, time: 0.194, data_time: 0.006, memory: 52540, decode.loss_ce: 0.1828, decode.acc_seg: 92.3699, loss: 0.1828 +2023-03-04 10:30:47,680 - mmseg - INFO - Iter [141450/160000] lr: 1.172e-06, eta: 1:12:49, time: 0.203, data_time: 0.006, memory: 52540, decode.loss_ce: 0.1779, decode.acc_seg: 92.6145, loss: 0.1779 +2023-03-04 10:30:57,236 - mmseg - INFO - Iter [141500/160000] lr: 1.172e-06, eta: 1:12:37, time: 0.191, data_time: 0.006, memory: 52540, decode.loss_ce: 0.1804, decode.acc_seg: 92.6232, loss: 0.1804 +2023-03-04 10:31:06,893 - mmseg - INFO - Iter [141550/160000] lr: 1.172e-06, eta: 1:12:25, time: 0.193, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1879, decode.acc_seg: 92.3960, loss: 0.1879 +2023-03-04 10:31:17,131 - mmseg - INFO - Iter [141600/160000] lr: 1.172e-06, eta: 1:12:13, time: 0.205, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1821, decode.acc_seg: 92.5373, loss: 0.1821 +2023-03-04 10:31:26,706 - mmseg - INFO - Iter [141650/160000] lr: 1.172e-06, eta: 1:12:01, time: 0.192, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1733, decode.acc_seg: 92.6566, loss: 0.1733 +2023-03-04 10:31:36,707 - mmseg - INFO - Iter [141700/160000] lr: 1.172e-06, eta: 1:11:49, time: 0.200, data_time: 0.006, memory: 52540, decode.loss_ce: 0.1785, decode.acc_seg: 92.7334, loss: 0.1785 +2023-03-04 10:31:46,444 - mmseg - INFO - Iter [141750/160000] lr: 1.172e-06, eta: 1:11:37, time: 0.195, data_time: 0.006, memory: 52540, decode.loss_ce: 0.1818, decode.acc_seg: 92.4759, loss: 0.1818 +2023-03-04 10:31:56,083 - mmseg - INFO - Iter [141800/160000] lr: 1.172e-06, eta: 1:11:25, time: 0.193, data_time: 0.006, memory: 52540, decode.loss_ce: 0.1848, decode.acc_seg: 92.4196, loss: 0.1848 +2023-03-04 10:32:06,037 - mmseg - INFO - Iter [141850/160000] lr: 1.172e-06, eta: 1:11:13, time: 0.199, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1813, decode.acc_seg: 92.4786, loss: 0.1813 +2023-03-04 10:32:15,836 - mmseg - INFO - Iter [141900/160000] lr: 1.172e-06, eta: 1:11:01, time: 0.196, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1817, decode.acc_seg: 92.5340, loss: 0.1817 +2023-03-04 10:32:25,490 - mmseg - INFO - Iter [141950/160000] lr: 1.172e-06, eta: 1:10:49, time: 0.193, data_time: 0.006, memory: 52540, decode.loss_ce: 0.1866, decode.acc_seg: 92.4505, loss: 0.1866 +2023-03-04 10:32:37,422 - mmseg - INFO - Exp name: ablation_segformer_mit_b2_segformer_head_unet_fc_small_multi_step_ade_single_stage.py +2023-03-04 10:32:37,423 - mmseg - INFO - Iter [142000/160000] lr: 1.172e-06, eta: 1:10:37, time: 0.239, data_time: 0.055, memory: 52540, decode.loss_ce: 0.1870, decode.acc_seg: 92.3340, loss: 0.1870 +2023-03-04 10:32:46,984 - mmseg - INFO - Iter [142050/160000] lr: 1.172e-06, eta: 1:10:25, time: 0.191, data_time: 0.006, memory: 52540, decode.loss_ce: 0.1836, decode.acc_seg: 92.5296, loss: 0.1836 +2023-03-04 10:32:56,739 - mmseg - INFO - Iter [142100/160000] lr: 1.172e-06, eta: 1:10:13, time: 0.195, data_time: 0.006, memory: 52540, decode.loss_ce: 0.1839, decode.acc_seg: 92.4640, loss: 0.1839 +2023-03-04 10:33:06,302 - mmseg - INFO - Iter [142150/160000] lr: 1.172e-06, eta: 1:10:01, time: 0.191, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1870, decode.acc_seg: 92.2465, loss: 0.1870 +2023-03-04 10:33:15,825 - mmseg - INFO - Iter [142200/160000] lr: 1.172e-06, eta: 1:09:49, time: 0.190, data_time: 0.006, memory: 52540, decode.loss_ce: 0.1831, decode.acc_seg: 92.5478, loss: 0.1831 +2023-03-04 10:33:25,468 - mmseg - INFO - Iter [142250/160000] lr: 1.172e-06, eta: 1:09:37, time: 0.193, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1944, decode.acc_seg: 91.9033, loss: 0.1944 +2023-03-04 10:33:35,025 - mmseg - INFO - Iter [142300/160000] lr: 1.172e-06, eta: 1:09:25, time: 0.191, data_time: 0.006, memory: 52540, decode.loss_ce: 0.1861, decode.acc_seg: 92.2815, loss: 0.1861 +2023-03-04 10:33:44,725 - mmseg - INFO - Iter [142350/160000] lr: 1.172e-06, eta: 1:09:13, time: 0.194, data_time: 0.006, memory: 52540, decode.loss_ce: 0.1864, decode.acc_seg: 92.3558, loss: 0.1864 +2023-03-04 10:33:54,391 - mmseg - INFO - Iter [142400/160000] lr: 1.172e-06, eta: 1:09:01, time: 0.193, data_time: 0.006, memory: 52540, decode.loss_ce: 0.1913, decode.acc_seg: 92.2506, loss: 0.1913 +2023-03-04 10:34:04,234 - mmseg - INFO - Iter [142450/160000] lr: 1.172e-06, eta: 1:08:49, time: 0.197, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1933, decode.acc_seg: 92.0462, loss: 0.1933 +2023-03-04 10:34:13,880 - mmseg - INFO - Iter [142500/160000] lr: 1.172e-06, eta: 1:08:37, time: 0.193, data_time: 0.006, memory: 52540, decode.loss_ce: 0.1805, decode.acc_seg: 92.5554, loss: 0.1805 +2023-03-04 10:34:23,461 - mmseg - INFO - Iter [142550/160000] lr: 1.172e-06, eta: 1:08:25, time: 0.192, data_time: 0.006, memory: 52540, decode.loss_ce: 0.1837, decode.acc_seg: 92.4631, loss: 0.1837 +2023-03-04 10:34:33,099 - mmseg - INFO - Iter [142600/160000] lr: 1.172e-06, eta: 1:08:13, time: 0.193, data_time: 0.006, memory: 52540, decode.loss_ce: 0.1855, decode.acc_seg: 92.3853, loss: 0.1855 +2023-03-04 10:34:45,346 - mmseg - INFO - Iter [142650/160000] lr: 1.172e-06, eta: 1:08:01, time: 0.245, data_time: 0.054, memory: 52540, decode.loss_ce: 0.1788, decode.acc_seg: 92.6577, loss: 0.1788 +2023-03-04 10:34:55,240 - mmseg - INFO - Iter [142700/160000] lr: 1.172e-06, eta: 1:07:49, time: 0.198, data_time: 0.006, memory: 52540, decode.loss_ce: 0.1791, decode.acc_seg: 92.5844, loss: 0.1791 +2023-03-04 10:35:04,969 - mmseg - INFO - Iter [142750/160000] lr: 1.172e-06, eta: 1:07:37, time: 0.195, data_time: 0.006, memory: 52540, decode.loss_ce: 0.1806, decode.acc_seg: 92.4661, loss: 0.1806 +2023-03-04 10:35:14,636 - mmseg - INFO - Iter [142800/160000] lr: 1.172e-06, eta: 1:07:25, time: 0.193, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1908, decode.acc_seg: 92.3027, loss: 0.1908 +2023-03-04 10:35:24,269 - mmseg - INFO - Iter [142850/160000] lr: 1.172e-06, eta: 1:07:13, time: 0.193, data_time: 0.006, memory: 52540, decode.loss_ce: 0.1810, decode.acc_seg: 92.6171, loss: 0.1810 +2023-03-04 10:35:34,091 - mmseg - INFO - Iter [142900/160000] lr: 1.172e-06, eta: 1:07:01, time: 0.196, data_time: 0.006, memory: 52540, decode.loss_ce: 0.1907, decode.acc_seg: 92.1859, loss: 0.1907 +2023-03-04 10:35:44,469 - mmseg - INFO - Iter [142950/160000] lr: 1.172e-06, eta: 1:06:49, time: 0.207, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1793, decode.acc_seg: 92.7315, loss: 0.1793 +2023-03-04 10:35:53,998 - mmseg - INFO - Exp name: ablation_segformer_mit_b2_segformer_head_unet_fc_small_multi_step_ade_single_stage.py +2023-03-04 10:35:53,998 - mmseg - INFO - Iter [143000/160000] lr: 1.172e-06, eta: 1:06:37, time: 0.191, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1794, decode.acc_seg: 92.6968, loss: 0.1794 +2023-03-04 10:36:03,621 - mmseg - INFO - Iter [143050/160000] lr: 1.172e-06, eta: 1:06:25, time: 0.192, data_time: 0.006, memory: 52540, decode.loss_ce: 0.1829, decode.acc_seg: 92.5658, loss: 0.1829 +2023-03-04 10:36:13,387 - mmseg - INFO - Iter [143100/160000] lr: 1.172e-06, eta: 1:06:13, time: 0.195, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1819, decode.acc_seg: 92.5367, loss: 0.1819 +2023-03-04 10:36:22,997 - mmseg - INFO - Iter [143150/160000] lr: 1.172e-06, eta: 1:06:01, time: 0.192, data_time: 0.006, memory: 52540, decode.loss_ce: 0.1865, decode.acc_seg: 92.2930, loss: 0.1865 +2023-03-04 10:36:32,590 - mmseg - INFO - Iter [143200/160000] lr: 1.172e-06, eta: 1:05:49, time: 0.192, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1867, decode.acc_seg: 92.3900, loss: 0.1867 +2023-03-04 10:36:44,805 - mmseg - INFO - Iter [143250/160000] lr: 1.172e-06, eta: 1:05:37, time: 0.244, data_time: 0.056, memory: 52540, decode.loss_ce: 0.1873, decode.acc_seg: 92.4075, loss: 0.1873 +2023-03-04 10:36:54,632 - mmseg - INFO - Iter [143300/160000] lr: 1.172e-06, eta: 1:05:25, time: 0.197, data_time: 0.006, memory: 52540, decode.loss_ce: 0.1875, decode.acc_seg: 92.2567, loss: 0.1875 +2023-03-04 10:37:04,077 - mmseg - INFO - Iter [143350/160000] lr: 1.172e-06, eta: 1:05:13, time: 0.189, data_time: 0.006, memory: 52540, decode.loss_ce: 0.1843, decode.acc_seg: 92.3807, loss: 0.1843 +2023-03-04 10:37:13,626 - mmseg - INFO - Iter [143400/160000] lr: 1.172e-06, eta: 1:05:01, time: 0.191, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1739, decode.acc_seg: 92.7470, loss: 0.1739 +2023-03-04 10:37:23,243 - mmseg - INFO - Iter [143450/160000] lr: 1.172e-06, eta: 1:04:49, time: 0.192, data_time: 0.006, memory: 52540, decode.loss_ce: 0.1769, decode.acc_seg: 92.5987, loss: 0.1769 +2023-03-04 10:37:32,927 - mmseg - INFO - Iter [143500/160000] lr: 1.172e-06, eta: 1:04:37, time: 0.194, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1819, decode.acc_seg: 92.4500, loss: 0.1819 +2023-03-04 10:37:42,591 - mmseg - INFO - Iter [143550/160000] lr: 1.172e-06, eta: 1:04:25, time: 0.193, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1824, decode.acc_seg: 92.5621, loss: 0.1824 +2023-03-04 10:37:52,092 - mmseg - INFO - Iter [143600/160000] lr: 1.172e-06, eta: 1:04:13, time: 0.190, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1793, decode.acc_seg: 92.6736, loss: 0.1793 +2023-03-04 10:38:01,917 - mmseg - INFO - Iter [143650/160000] lr: 1.172e-06, eta: 1:04:01, time: 0.197, data_time: 0.006, memory: 52540, decode.loss_ce: 0.1868, decode.acc_seg: 92.3371, loss: 0.1868 +2023-03-04 10:38:11,517 - mmseg - INFO - Iter [143700/160000] lr: 1.172e-06, eta: 1:03:49, time: 0.192, data_time: 0.006, memory: 52540, decode.loss_ce: 0.1763, decode.acc_seg: 92.7542, loss: 0.1763 +2023-03-04 10:38:21,212 - mmseg - INFO - Iter [143750/160000] lr: 1.172e-06, eta: 1:03:37, time: 0.194, data_time: 0.006, memory: 52540, decode.loss_ce: 0.1875, decode.acc_seg: 92.3540, loss: 0.1875 +2023-03-04 10:38:30,890 - mmseg - INFO - Iter [143800/160000] lr: 1.172e-06, eta: 1:03:25, time: 0.193, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1909, decode.acc_seg: 92.2763, loss: 0.1909 +2023-03-04 10:38:40,432 - mmseg - INFO - Iter [143850/160000] lr: 1.172e-06, eta: 1:03:14, time: 0.191, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1819, decode.acc_seg: 92.6261, loss: 0.1819 +2023-03-04 10:38:52,674 - mmseg - INFO - Iter [143900/160000] lr: 1.172e-06, eta: 1:03:02, time: 0.245, data_time: 0.053, memory: 52540, decode.loss_ce: 0.1902, decode.acc_seg: 92.3654, loss: 0.1902 +2023-03-04 10:39:02,137 - mmseg - INFO - Iter [143950/160000] lr: 1.172e-06, eta: 1:02:50, time: 0.189, data_time: 0.006, memory: 52540, decode.loss_ce: 0.1820, decode.acc_seg: 92.5311, loss: 0.1820 +2023-03-04 10:39:12,166 - mmseg - INFO - Swap parameters (after train) after iter [144000] +2023-03-04 10:39:12,180 - mmseg - INFO - Saving checkpoint at 144000 iterations +2023-03-04 10:39:13,287 - mmseg - INFO - Exp name: ablation_segformer_mit_b2_segformer_head_unet_fc_small_multi_step_ade_single_stage.py +2023-03-04 10:39:13,288 - mmseg - INFO - Iter [144000/160000] lr: 1.172e-06, eta: 1:02:38, time: 0.223, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1868, decode.acc_seg: 92.2451, loss: 0.1868 +2023-03-04 10:50:09,191 - mmseg - INFO - per class results: +2023-03-04 10:50:09,200 - mmseg - INFO - ++---------------------+-------------------------------------------------------------------+ +| Class | IoU 0,10,20,30,40,50,60,70,80,90,99 | ++---------------------+-------------------------------------------------------------------+ +| background | nan,nan,nan,nan,nan,nan,nan,nan,nan,nan,nan | +| wall | 77.4,77.44,77.44,77.48,77.48,77.5,77.5,77.51,77.52,77.51,77.52 | +| building | 81.64,81.64,81.67,81.68,81.69,81.69,81.7,81.7,81.71,81.72,81.72 | +| sky | 94.4,94.41,94.42,94.43,94.43,94.44,94.45,94.45,94.46,94.46,94.47 | +| floor | 81.7,81.69,81.72,81.75,81.76,81.77,81.78,81.77,81.78,81.79,81.78 | +| tree | 74.37,74.4,74.4,74.42,74.44,74.45,74.46,74.46,74.45,74.45,74.42 | +| ceiling | 85.21,85.24,85.24,85.26,85.24,85.25,85.26,85.26,85.27,85.25,85.25 | +| road | 82.29,82.34,82.38,82.42,82.43,82.48,82.51,82.53,82.54,82.56,82.45 | +| bed | 87.74,87.79,87.81,87.78,87.8,87.82,87.81,87.82,87.84,87.84,87.89 | +| windowpane | 60.71,60.72,60.78,60.79,60.86,60.96,60.93,60.95,60.99,60.95,60.96 | +| grass | 67.11,67.19,67.26,67.29,67.35,67.39,67.41,67.44,67.45,67.49,67.53 | +| cabinet | 61.8,62.03,62.32,62.47,62.63,62.77,62.79,62.86,62.85,62.82,62.82 | +| sidewalk | 64.6,64.69,64.67,64.75,64.79,64.83,64.87,64.86,64.9,64.91,64.73 | +| person | 79.67,79.71,79.74,79.73,79.76,79.78,79.8,79.8,79.81,79.81,79.83 | +| earth | 36.04,36.1,36.13,36.07,36.12,36.1,36.08,36.1,36.02,35.97,35.92 | +| door | 45.84,45.94,45.86,45.88,45.84,45.88,45.88,45.87,45.83,45.85,45.91 | +| table | 61.42,61.55,61.66,61.75,61.85,61.87,61.92,61.95,61.94,62.0,62.02 | +| mountain | 56.59,56.62,56.6,56.7,56.81,56.79,56.88,56.88,56.98,57.07,57.23 | +| plant | 49.45,49.47,49.43,49.41,49.44,49.38,49.38,49.43,49.4,49.41,49.41 | +| curtain | 74.36,74.38,74.48,74.51,74.59,74.68,74.71,74.78,74.79,74.81,74.8 | +| chair | 56.61,56.66,56.66,56.66,56.66,56.71,56.69,56.65,56.64,56.66,56.59 | +| car | 81.81,81.85,81.9,81.91,81.97,82.02,82.06,82.06,82.1,82.1,82.08 | +| water | 57.19,57.23,57.28,57.28,57.3,57.35,57.38,57.4,57.43,57.44,57.47 | +| painting | 70.73,70.82,70.71,70.59,70.63,70.58,70.56,70.49,70.55,70.48,70.44 | +| sofa | 64.59,64.56,64.49,64.58,64.5,64.53,64.44,64.49,64.46,64.47,64.42 | +| shelf | 44.32,44.42,44.56,44.57,44.61,44.73,44.78,44.89,44.88,44.9,44.94 | +| house | 43.14,43.09,43.19,43.19,43.18,43.23,43.18,43.17,43.17,43.16,43.17 | +| sea | 60.45,60.46,60.42,60.4,60.42,60.44,60.4,60.42,60.37,60.39,60.39 | +| mirror | 67.23,67.49,67.49,67.5,67.5,67.53,67.52,67.67,67.69,67.73,67.51 | +| rug | 64.78,64.82,64.83,64.95,65.0,65.1,65.15,65.23,65.27,65.3,65.32 | +| field | 30.89,30.91,30.89,30.89,30.89,30.87,30.84,30.83,30.81,30.79,30.84 | +| armchair | 37.91,37.87,37.8,38.03,37.95,37.96,37.9,37.94,37.84,37.85,37.83 | +| seat | 66.13,66.19,66.17,66.21,66.35,66.37,66.41,66.54,66.56,66.58,66.71 | +| fence | 40.65,40.67,40.8,40.79,40.76,40.72,40.8,40.68,40.88,40.9,40.91 | +| desk | 46.88,47.04,47.18,47.36,47.49,47.5,47.68,47.69,47.71,47.65,47.44 | +| rock | 36.82,36.85,36.87,37.03,37.05,37.14,37.15,37.23,37.41,37.41,37.26 | +| wardrobe | 57.57,57.72,57.75,57.73,57.9,57.86,57.7,57.59,57.58,57.58,57.59 | +| lamp | 62.21,62.29,62.29,62.35,62.4,62.4,62.42,62.39,62.38,62.36,62.43 | +| bathtub | 77.47,77.41,77.49,77.36,77.43,77.32,77.27,77.18,77.22,77.16,77.2 | +| railing | 34.02,34.05,34.1,34.23,34.32,34.34,34.34,34.39,34.46,34.43,34.41 | +| cushion | 56.83,56.81,56.85,56.98,56.86,56.8,56.71,56.71,56.66,56.58,56.66 | +| base | 22.41,22.46,22.53,22.85,22.95,23.14,23.08,23.17,23.26,23.29,23.39 | +| box | 23.22,23.36,23.42,23.37,23.49,23.46,23.57,23.56,23.6,23.62,23.57 | +| column | 45.7,45.85,45.75,45.95,45.88,46.14,46.23,46.24,46.41,46.43,46.61 | +| signboard | 37.51,37.69,37.75,38.07,37.89,37.96,37.95,37.91,37.9,37.84,37.82 | +| chest of drawers | 36.08,36.15,36.26,36.42,36.42,36.63,36.56,36.67,36.73,36.72,36.85 | +| counter | 31.55,31.54,31.59,31.71,31.82,31.8,31.9,31.93,32.06,31.94,31.94 | +| sand | 41.9,41.9,41.89,41.84,41.91,41.96,41.97,42.02,42.04,42.08,42.09 | +| sink | 67.66,67.66,67.7,67.64,67.58,67.55,67.53,67.47,67.49,67.46,67.52 | +| skyscraper | 49.11,48.93,48.97,48.88,48.91,48.74,48.84,48.95,49.04,49.08,49.08 | +| fireplace | 76.39,76.48,76.48,76.49,76.55,76.54,76.46,76.61,76.63,76.63,76.74 | +| refrigerator | 76.24,76.32,76.56,76.67,76.86,76.84,76.91,77.03,77.11,77.16,77.18 | +| grandstand | 52.92,53.16,53.4,53.53,53.73,53.96,53.88,54.1,54.15,54.48,54.36 | +| path | 22.5,22.6,22.67,22.79,22.86,22.93,23.02,23.05,23.11,23.1,23.17 | +| stairs | 32.15,32.23,32.22,32.19,32.19,32.18,32.11,32.07,32.11,32.13,32.13 | +| runway | 67.82,67.89,67.92,67.96,67.94,67.99,67.98,68.01,68.0,68.02,68.0 | +| case | 48.99,49.1,49.27,49.29,49.3,49.34,49.27,49.3,49.24,49.27,49.16 | +| pool table | 91.53,91.53,91.48,91.48,91.49,91.5,91.5,91.53,91.47,91.5,91.62 | +| pillow | 60.22,60.32,60.13,60.13,60.07,60.06,59.91,59.82,59.78,59.82,59.95 | +| screen door | 70.68,70.69,70.5,70.48,70.36,70.07,70.09,70.03,69.89,69.69,69.73 | +| stairway | 24.02,24.15,24.09,24.2,24.27,24.19,24.22,24.19,24.16,24.17,24.23 | +| river | 12.18,12.17,12.18,12.18,12.2,12.16,12.15,12.17,12.19,12.17,12.17 | +| bridge | 31.05,31.06,31.19,31.2,31.15,31.26,31.27,31.24,31.2,31.23,31.26 | +| bookcase | 47.08,47.0,47.05,47.07,47.15,47.07,47.23,47.17,47.19,47.19,47.08 | +| blind | 39.65,39.42,39.64,39.66,39.72,39.83,39.68,39.78,39.72,39.46,39.66 | +| coffee table | 53.54,53.49,53.54,53.62,53.68,53.5,53.51,53.52,53.51,53.62,53.71 | +| toilet | 83.51,83.59,83.64,83.59,83.51,83.58,83.44,83.42,83.37,83.36,83.36 | +| flower | 39.01,38.96,38.99,38.96,38.9,38.94,38.85,38.93,38.86,38.89,39.08 | +| book | 45.18,45.25,45.18,45.2,45.2,45.18,45.17,45.23,45.29,45.3,45.3 | +| hill | 15.59,15.55,15.56,15.41,15.52,15.51,15.43,15.37,15.36,15.39,15.36 | +| bench | 43.17,43.08,42.92,42.67,42.71,42.48,42.29,42.22,42.18,42.14,41.94 | +| countertop | 56.06,56.19,56.39,56.44,56.47,56.51,56.56,56.54,56.61,56.57,56.62 | +| stove | 72.39,72.38,72.65,72.66,72.63,72.69,72.84,72.9,73.03,73.07,73.08 | +| palm | 47.87,47.88,47.99,47.94,48.0,48.05,48.09,48.11,48.12,48.2,48.15 | +| kitchen island | 45.95,46.21,46.68,46.83,47.04,47.26,47.29,47.38,47.32,47.27,47.22 | +| computer | 60.93,60.94,60.91,60.85,60.85,60.9,60.84,60.86,60.81,60.78,60.82 | +| swivel chair | 44.42,44.47,44.49,44.43,44.61,44.7,44.88,44.75,44.93,44.89,44.52 | +| boat | 73.2,73.19,73.44,73.51,73.8,73.73,73.8,73.96,74.11,74.17,74.26 | +| bar | 23.85,23.86,23.88,23.91,23.97,23.98,24.01,24.01,24.01,24.04,24.05 | +| arcade machine | 69.87,70.06,70.33,70.55,70.99,70.93,70.99,70.66,70.24,70.17,71.05 | +| hovel | 31.61,31.78,31.62,31.8,31.81,31.91,31.5,31.45,30.94,30.51,30.12 | +| bus | 79.57,79.55,79.6,79.57,79.6,79.55,79.54,79.62,79.66,79.66,79.67 | +| towel | 61.39,61.47,61.29,61.34,61.42,61.47,61.41,61.44,61.45,61.55,61.64 | +| light | 56.24,56.2,56.24,56.34,56.38,56.39,56.34,56.45,56.4,56.49,56.48 | +| truck | 19.57,19.58,19.51,19.61,19.52,19.4,19.41,19.52,19.28,19.27,19.23 | +| tower | 8.08,7.93,7.86,7.79,7.85,7.46,7.49,7.5,7.34,7.19,7.02 | +| chandelier | 64.82,64.86,64.77,64.8,64.86,64.87,64.76,64.79,64.76,64.71,64.79 | +| awning | 23.05,23.32,23.53,23.95,23.97,24.04,24.22,24.49,24.45,24.42,24.53 | +| streetlight | 27.3,27.23,27.44,27.49,27.52,27.51,27.62,27.66,27.79,27.78,27.98 | +| booth | 47.2,47.52,47.89,48.37,49.33,49.69,49.84,50.27,50.4,50.53,50.54 | +| television receiver | 64.01,64.09,64.03,64.08,64.07,64.13,64.04,64.03,64.11,64.19,64.21 | +| airplane | 61.31,61.3,61.36,61.16,61.17,61.06,61.0,60.87,60.99,60.79,60.69 | +| dirt track | 20.74,20.99,21.06,21.51,21.74,21.74,21.97,22.32,22.39,22.5,22.7 | +| apparel | 34.45,34.92,34.81,35.06,35.18,35.3,35.45,35.6,35.75,35.84,35.85 | +| pole | 18.24,18.27,18.25,18.11,18.07,18.11,18.09,17.95,18.03,17.82,17.78 | +| land | 3.68,3.69,3.69,3.64,3.69,3.68,3.65,3.61,3.58,3.69,3.61 | +| bannister | 11.63,11.7,11.53,11.6,11.75,11.85,11.98,11.96,12.05,12.16,12.14 | +| escalator | 24.09,24.08,24.02,23.97,23.94,23.97,24.04,24.02,24.0,23.99,23.98 | +| ottoman | 40.97,40.86,40.59,40.1,40.15,40.06,39.95,40.08,40.4,40.55,41.34 | +| bottle | 34.56,34.6,34.59,34.69,34.94,34.96,34.95,35.04,35.18,35.24,35.27 | +| buffet | 42.82,43.48,44.1,44.7,44.92,45.48,45.71,46.02,46.15,46.15,46.26 | +| poster | 23.2,23.23,23.16,23.23,23.22,23.3,23.22,23.2,23.26,23.39,23.57 | +| stage | 13.95,13.76,13.53,13.54,13.45,13.19,13.52,13.32,13.41,13.34,13.41 | +| van | 38.71,38.57,38.66,38.53,38.61,38.65,38.65,38.62,38.66,38.45,38.49 | +| ship | 83.08,83.1,83.25,83.3,83.21,83.24,83.13,83.2,83.28,83.44,83.47 | +| fountain | 19.33,19.52,19.7,19.63,19.78,20.14,20.31,20.95,20.85,20.94,21.1 | +| conveyer belt | 85.51,85.68,85.91,86.05,86.2,86.25,86.47,86.55,86.69,86.8,86.78 | +| canopy | 22.05,22.42,22.61,22.74,22.9,23.07,23.23,23.27,23.35,23.49,23.57 | +| washer | 75.03,75.1,75.28,75.37,75.46,75.7,75.81,76.05,76.09,76.25,76.33 | +| plaything | 20.69,20.82,20.7,20.66,20.65,20.65,20.68,20.7,20.62,20.68,20.69 | +| swimming pool | 74.77,74.96,75.15,75.44,75.81,75.72,75.74,75.46,75.5,75.4,74.8 | +| stool | 42.76,42.74,42.68,42.58,42.56,42.53,42.29,42.38,42.26,42.11,42.1 | +| barrel | 45.1,45.35,44.24,43.85,42.92,41.95,42.13,41.33,40.28,40.56,40.08 | +| basket | 24.47,24.46,24.5,24.55,24.62,24.52,24.6,24.61,24.72,24.69,24.67 | +| waterfall | 49.56,49.58,49.59,49.51,49.58,49.62,49.65,49.65,49.6,49.62,49.7 | +| tent | 93.91,93.86,93.96,93.92,94.03,93.98,94.01,94.18,94.14,94.04,94.11 | +| bag | 16.14,16.25,16.2,16.31,16.16,15.95,16.11,15.89,15.87,15.75,15.61 | +| minibike | 61.94,62.15,62.27,62.36,62.55,62.66,62.72,62.8,62.78,62.86,62.85 | +| cradle | 85.13,85.27,85.4,85.49,85.62,85.65,85.82,85.86,86.09,86.08,86.21 | +| oven | 47.34,47.38,47.74,48.0,48.16,48.39,48.67,48.96,49.13,49.21,49.32 | +| ball | 44.52,44.59,44.66,44.68,44.67,44.64,44.66,44.82,44.68,44.64,44.64 | +| food | 54.09,54.07,54.15,53.97,54.0,53.6,53.53,53.56,53.28,53.15,53.09 | +| step | 6.27,6.41,6.48,6.5,6.58,6.61,6.75,6.75,6.83,6.85,6.89 | +| tank | 51.39,51.37,51.37,51.26,51.21,51.14,51.12,50.92,50.88,51.01,50.97 | +| trade name | 28.13,28.11,28.23,28.22,28.11,28.06,28.16,27.94,27.82,27.78,27.71 | +| microwave | 73.48,73.88,74.45,74.76,75.06,75.16,75.47,75.79,75.99,76.1,76.14 | +| pot | 30.56,30.75,30.95,31.09,31.21,31.43,31.71,31.93,32.04,32.2,32.34 | +| animal | 54.1,54.18,54.23,54.37,54.37,54.06,54.07,54.06,53.95,53.85,53.85 | +| bicycle | 53.49,53.64,53.65,53.83,53.86,53.95,54.02,54.02,54.14,54.27,54.4 | +| lake | 57.63,57.73,57.73,57.81,57.89,57.95,58.02,58.08,58.16,58.17,58.23 | +| dishwasher | 66.17,66.26,66.4,66.52,66.12,66.55,66.36,66.32,66.34,66.27,66.28 | +| screen | 70.54,70.39,70.46,70.46,70.45,70.36,70.63,70.43,70.3,70.12,70.12 | +| blanket | 17.73,17.89,18.13,18.07,18.13,18.2,18.24,18.12,18.29,18.2,18.44 | +| sculpture | 57.47,57.35,57.25,57.23,56.98,56.59,56.63,56.62,56.54,56.64,56.43 | +| hood | 57.83,57.53,57.73,57.59,57.66,57.59,57.53,57.77,57.64,57.58,57.24 | +| sconce | 42.8,42.9,43.17,43.14,43.12,43.06,43.24,43.07,43.02,42.94,43.21 | +| vase | 37.9,37.99,38.09,38.17,38.15,38.23,38.32,38.56,38.64,38.62,38.7 | +| traffic light | 32.69,32.93,33.0,33.16,33.17,33.33,33.4,33.34,33.6,33.67,33.69 | +| tray | 7.71,7.75,7.78,7.63,7.66,7.61,7.66,7.53,7.42,7.49,7.46 | +| ashcan | 38.07,37.88,37.97,37.98,37.9,38.01,38.03,38.18,38.0,38.11,38.29 | +| fan | 58.0,57.96,57.74,58.06,57.97,57.94,58.04,58.09,58.04,57.98,58.03 | +| pier | 42.05,43.05,42.98,43.99,44.8,44.78,45.44,45.74,47.04,46.8,47.61 | +| crt screen | 10.94,11.06,11.0,11.02,10.98,10.83,10.79,10.63,10.46,10.44,10.47 | +| plate | 53.3,53.39,53.5,53.76,53.82,54.0,54.17,54.17,54.26,54.37,54.39 | +| monitor | 18.77,18.53,18.28,18.06,17.86,17.59,17.41,17.37,17.06,16.75,16.38 | +| bulletin board | 35.65,35.77,35.79,35.98,36.02,36.42,36.18,36.43,36.68,36.67,36.8 | +| shower | 2.14,2.14,2.12,2.03,1.95,1.81,1.52,1.47,1.49,1.27,1.21 | +| radiator | 60.48,60.8,61.29,61.84,62.15,62.51,62.72,62.87,63.1,63.21,63.22 | +| glass | 14.25,14.23,14.21,14.26,14.22,14.15,14.18,14.18,14.08,14.12,14.12 | +| clock | 35.11,35.28,35.34,35.37,35.51,36.11,36.01,36.02,35.96,36.18,36.26 | +| flag | 35.39,35.4,35.33,35.23,34.91,34.92,34.76,34.72,34.58,34.59,34.43 | ++---------------------+-------------------------------------------------------------------+ +2023-03-04 10:50:09,201 - mmseg - INFO - Summary: +2023-03-04 10:50:09,201 - mmseg - INFO - ++-----------------------------------------------------------------+ +| mIoU 0,10,20,30,40,50,60,70,80,90,99 | ++-----------------------------------------------------------------+ +| 48.74,48.8,48.84,48.9,48.94,48.96,48.98,49.01,49.02,49.02,49.04 | ++-----------------------------------------------------------------+ +2023-03-04 10:50:09,236 - mmseg - INFO - The previous best checkpoint /mnt/petrelfs/laizeqiang/mmseg-baseline/work_dirs2/ablation_segformer_mit_b2_segformer_head_unet_fc_small_multi_step_ade_single_stage/best_mIoU_iter_96000.pth was removed +2023-03-04 10:50:10,184 - mmseg - INFO - Now best checkpoint is saved as best_mIoU_iter_144000.pth. +2023-03-04 10:50:10,185 - mmseg - INFO - Best mIoU is 0.4904 at 144000 iter. +2023-03-04 10:50:10,185 - mmseg - INFO - Exp name: ablation_segformer_mit_b2_segformer_head_unet_fc_small_multi_step_ade_single_stage.py +2023-03-04 10:50:10,185 - mmseg - INFO - Iter(val) [250] mIoU: [0.4874, 0.488, 0.4884, 0.489, 0.4894, 0.4896, 0.4898, 0.4901, 0.4902, 0.4902, 0.4904], copy_paste: 48.74,48.8,48.84,48.9,48.94,48.96,48.98,49.01,49.02,49.02,49.04 +2023-03-04 10:50:10,193 - mmseg - INFO - Swap parameters (before train) before iter [144001] +2023-03-04 10:50:20,074 - mmseg - INFO - Iter [144050/160000] lr: 1.172e-06, eta: 1:03:39, time: 13.336, data_time: 13.146, memory: 52540, decode.loss_ce: 0.1847, decode.acc_seg: 92.4988, loss: 0.1847 +2023-03-04 10:50:29,981 - mmseg - INFO - Iter [144100/160000] lr: 1.172e-06, eta: 1:03:27, time: 0.198, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1895, decode.acc_seg: 92.0546, loss: 0.1895 +2023-03-04 10:50:39,791 - mmseg - INFO - Iter [144150/160000] lr: 1.172e-06, eta: 1:03:14, time: 0.196, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1834, decode.acc_seg: 92.6194, loss: 0.1834 +2023-03-04 10:50:49,608 - mmseg - INFO - Iter [144200/160000] lr: 1.172e-06, eta: 1:03:02, time: 0.196, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1804, decode.acc_seg: 92.5778, loss: 0.1804 +2023-03-04 10:50:59,183 - mmseg - INFO - Iter [144250/160000] lr: 1.172e-06, eta: 1:02:50, time: 0.191, data_time: 0.006, memory: 52540, decode.loss_ce: 0.1879, decode.acc_seg: 92.3635, loss: 0.1879 +2023-03-04 10:51:08,731 - mmseg - INFO - Iter [144300/160000] lr: 1.172e-06, eta: 1:02:38, time: 0.191, data_time: 0.006, memory: 52540, decode.loss_ce: 0.1797, decode.acc_seg: 92.6513, loss: 0.1797 +2023-03-04 10:51:18,198 - mmseg - INFO - Iter [144350/160000] lr: 1.172e-06, eta: 1:02:25, time: 0.189, data_time: 0.006, memory: 52540, decode.loss_ce: 0.1798, decode.acc_seg: 92.6317, loss: 0.1798 +2023-03-04 10:51:27,717 - mmseg - INFO - Iter [144400/160000] lr: 1.172e-06, eta: 1:02:13, time: 0.190, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1841, decode.acc_seg: 92.4278, loss: 0.1841 +2023-03-04 10:51:37,391 - mmseg - INFO - Iter [144450/160000] lr: 1.172e-06, eta: 1:02:01, time: 0.193, data_time: 0.006, memory: 52540, decode.loss_ce: 0.1796, decode.acc_seg: 92.7059, loss: 0.1796 +2023-03-04 10:51:49,818 - mmseg - INFO - Iter [144500/160000] lr: 1.172e-06, eta: 1:01:49, time: 0.248, data_time: 0.054, memory: 52540, decode.loss_ce: 0.1845, decode.acc_seg: 92.5365, loss: 0.1845 +2023-03-04 10:51:59,609 - mmseg - INFO - Iter [144550/160000] lr: 1.172e-06, eta: 1:01:37, time: 0.196, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1815, decode.acc_seg: 92.5788, loss: 0.1815 +2023-03-04 10:52:09,251 - mmseg - INFO - Iter [144600/160000] lr: 1.172e-06, eta: 1:01:25, time: 0.193, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1811, decode.acc_seg: 92.5128, loss: 0.1811 +2023-03-04 10:52:18,791 - mmseg - INFO - Iter [144650/160000] lr: 1.172e-06, eta: 1:01:12, time: 0.191, data_time: 0.006, memory: 52540, decode.loss_ce: 0.1863, decode.acc_seg: 92.5373, loss: 0.1863 +2023-03-04 10:52:28,347 - mmseg - INFO - Iter [144700/160000] lr: 1.172e-06, eta: 1:01:00, time: 0.191, data_time: 0.006, memory: 52540, decode.loss_ce: 0.1831, decode.acc_seg: 92.4585, loss: 0.1831 +2023-03-04 10:52:38,087 - mmseg - INFO - Iter [144750/160000] lr: 1.172e-06, eta: 1:00:48, time: 0.195, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1839, decode.acc_seg: 92.4197, loss: 0.1839 +2023-03-04 10:52:48,440 - mmseg - INFO - Iter [144800/160000] lr: 1.172e-06, eta: 1:00:36, time: 0.207, data_time: 0.006, memory: 52540, decode.loss_ce: 0.1792, decode.acc_seg: 92.6814, loss: 0.1792 +2023-03-04 10:52:58,350 - mmseg - INFO - Iter [144850/160000] lr: 1.172e-06, eta: 1:00:24, time: 0.198, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1900, decode.acc_seg: 92.2301, loss: 0.1900 +2023-03-04 10:53:08,391 - mmseg - INFO - Iter [144900/160000] lr: 1.172e-06, eta: 1:00:12, time: 0.201, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1833, decode.acc_seg: 92.4207, loss: 0.1833 +2023-03-04 10:53:17,932 - mmseg - INFO - Iter [144950/160000] lr: 1.172e-06, eta: 0:59:59, time: 0.191, data_time: 0.006, memory: 52540, decode.loss_ce: 0.1803, decode.acc_seg: 92.4303, loss: 0.1803 +2023-03-04 10:53:27,842 - mmseg - INFO - Exp name: ablation_segformer_mit_b2_segformer_head_unet_fc_small_multi_step_ade_single_stage.py +2023-03-04 10:53:27,842 - mmseg - INFO - Iter [145000/160000] lr: 1.172e-06, eta: 0:59:47, time: 0.198, data_time: 0.006, memory: 52540, decode.loss_ce: 0.1845, decode.acc_seg: 92.5139, loss: 0.1845 +2023-03-04 10:53:37,389 - mmseg - INFO - Iter [145050/160000] lr: 1.172e-06, eta: 0:59:35, time: 0.191, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1804, decode.acc_seg: 92.5429, loss: 0.1804 +2023-03-04 10:53:46,959 - mmseg - INFO - Iter [145100/160000] lr: 1.172e-06, eta: 0:59:23, time: 0.191, data_time: 0.006, memory: 52540, decode.loss_ce: 0.1848, decode.acc_seg: 92.4458, loss: 0.1848 +2023-03-04 10:53:59,275 - mmseg - INFO - Iter [145150/160000] lr: 1.172e-06, eta: 0:59:11, time: 0.246, data_time: 0.057, memory: 52540, decode.loss_ce: 0.1881, decode.acc_seg: 92.1813, loss: 0.1881 +2023-03-04 10:54:08,926 - mmseg - INFO - Iter [145200/160000] lr: 1.172e-06, eta: 0:58:59, time: 0.193, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1825, decode.acc_seg: 92.4560, loss: 0.1825 +2023-03-04 10:54:18,431 - mmseg - INFO - Iter [145250/160000] lr: 1.172e-06, eta: 0:58:46, time: 0.190, data_time: 0.006, memory: 52540, decode.loss_ce: 0.1833, decode.acc_seg: 92.4573, loss: 0.1833 +2023-03-04 10:54:27,931 - mmseg - INFO - Iter [145300/160000] lr: 1.172e-06, eta: 0:58:34, time: 0.190, data_time: 0.006, memory: 52540, decode.loss_ce: 0.1822, decode.acc_seg: 92.4827, loss: 0.1822 +2023-03-04 10:54:37,682 - mmseg - INFO - Iter [145350/160000] lr: 1.172e-06, eta: 0:58:22, time: 0.195, data_time: 0.006, memory: 52540, decode.loss_ce: 0.1837, decode.acc_seg: 92.4768, loss: 0.1837 +2023-03-04 10:54:47,295 - mmseg - INFO - Iter [145400/160000] lr: 1.172e-06, eta: 0:58:10, time: 0.192, data_time: 0.006, memory: 52540, decode.loss_ce: 0.1806, decode.acc_seg: 92.5459, loss: 0.1806 +2023-03-04 10:54:56,957 - mmseg - INFO - Iter [145450/160000] lr: 1.172e-06, eta: 0:57:58, time: 0.193, data_time: 0.006, memory: 52540, decode.loss_ce: 0.1865, decode.acc_seg: 92.3426, loss: 0.1865 +2023-03-04 10:55:06,721 - mmseg - INFO - Iter [145500/160000] lr: 1.172e-06, eta: 0:57:46, time: 0.195, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1869, decode.acc_seg: 92.3943, loss: 0.1869 +2023-03-04 10:55:16,603 - mmseg - INFO - Iter [145550/160000] lr: 1.172e-06, eta: 0:57:33, time: 0.198, data_time: 0.006, memory: 52540, decode.loss_ce: 0.1881, decode.acc_seg: 92.2159, loss: 0.1881 +2023-03-04 10:55:26,370 - mmseg - INFO - Iter [145600/160000] lr: 1.172e-06, eta: 0:57:21, time: 0.195, data_time: 0.006, memory: 52540, decode.loss_ce: 0.1894, decode.acc_seg: 92.1951, loss: 0.1894 +2023-03-04 10:55:35,896 - mmseg - INFO - Iter [145650/160000] lr: 1.172e-06, eta: 0:57:09, time: 0.191, data_time: 0.006, memory: 52540, decode.loss_ce: 0.1814, decode.acc_seg: 92.5751, loss: 0.1814 +2023-03-04 10:55:45,728 - mmseg - INFO - Iter [145700/160000] lr: 1.172e-06, eta: 0:56:57, time: 0.197, data_time: 0.006, memory: 52540, decode.loss_ce: 0.1801, decode.acc_seg: 92.4803, loss: 0.1801 +2023-03-04 10:55:55,332 - mmseg - INFO - Iter [145750/160000] lr: 1.172e-06, eta: 0:56:45, time: 0.192, data_time: 0.006, memory: 52540, decode.loss_ce: 0.1862, decode.acc_seg: 92.3140, loss: 0.1862 +2023-03-04 10:56:07,363 - mmseg - INFO - Iter [145800/160000] lr: 1.172e-06, eta: 0:56:33, time: 0.241, data_time: 0.054, memory: 52540, decode.loss_ce: 0.1843, decode.acc_seg: 92.3728, loss: 0.1843 +2023-03-04 10:56:17,229 - mmseg - INFO - Iter [145850/160000] lr: 1.172e-06, eta: 0:56:21, time: 0.197, data_time: 0.006, memory: 52540, decode.loss_ce: 0.1839, decode.acc_seg: 92.3992, loss: 0.1839 +2023-03-04 10:56:26,928 - mmseg - INFO - Iter [145900/160000] lr: 1.172e-06, eta: 0:56:08, time: 0.194, data_time: 0.006, memory: 52540, decode.loss_ce: 0.1840, decode.acc_seg: 92.5912, loss: 0.1840 +2023-03-04 10:56:36,744 - mmseg - INFO - Iter [145950/160000] lr: 1.172e-06, eta: 0:55:56, time: 0.196, data_time: 0.006, memory: 52540, decode.loss_ce: 0.1825, decode.acc_seg: 92.5807, loss: 0.1825 +2023-03-04 10:56:46,345 - mmseg - INFO - Exp name: ablation_segformer_mit_b2_segformer_head_unet_fc_small_multi_step_ade_single_stage.py +2023-03-04 10:56:46,345 - mmseg - INFO - Iter [146000/160000] lr: 1.172e-06, eta: 0:55:44, time: 0.192, data_time: 0.006, memory: 52540, decode.loss_ce: 0.1793, decode.acc_seg: 92.5285, loss: 0.1793 +2023-03-04 10:56:55,889 - mmseg - INFO - Iter [146050/160000] lr: 1.172e-06, eta: 0:55:32, time: 0.191, data_time: 0.006, memory: 52540, decode.loss_ce: 0.1910, decode.acc_seg: 92.2629, loss: 0.1910 +2023-03-04 10:57:05,597 - mmseg - INFO - Iter [146100/160000] lr: 1.172e-06, eta: 0:55:20, time: 0.194, data_time: 0.006, memory: 52540, decode.loss_ce: 0.1789, decode.acc_seg: 92.5340, loss: 0.1789 +2023-03-04 10:57:15,381 - mmseg - INFO - Iter [146150/160000] lr: 1.172e-06, eta: 0:55:08, time: 0.196, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1845, decode.acc_seg: 92.3479, loss: 0.1845 +2023-03-04 10:57:25,152 - mmseg - INFO - Iter [146200/160000] lr: 1.172e-06, eta: 0:54:55, time: 0.195, data_time: 0.006, memory: 52540, decode.loss_ce: 0.1849, decode.acc_seg: 92.3206, loss: 0.1849 +2023-03-04 10:57:34,940 - mmseg - INFO - Iter [146250/160000] lr: 1.172e-06, eta: 0:54:43, time: 0.196, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1794, decode.acc_seg: 92.6667, loss: 0.1794 +2023-03-04 10:57:44,667 - mmseg - INFO - Iter [146300/160000] lr: 1.172e-06, eta: 0:54:31, time: 0.194, data_time: 0.006, memory: 52540, decode.loss_ce: 0.1762, decode.acc_seg: 92.5800, loss: 0.1762 +2023-03-04 10:57:54,148 - mmseg - INFO - Iter [146350/160000] lr: 1.172e-06, eta: 0:54:19, time: 0.190, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1755, decode.acc_seg: 92.7359, loss: 0.1755 +2023-03-04 10:58:06,240 - mmseg - INFO - Iter [146400/160000] lr: 1.172e-06, eta: 0:54:07, time: 0.242, data_time: 0.052, memory: 52540, decode.loss_ce: 0.1849, decode.acc_seg: 92.3635, loss: 0.1849 +2023-03-04 10:58:15,817 - mmseg - INFO - Iter [146450/160000] lr: 1.172e-06, eta: 0:53:55, time: 0.191, data_time: 0.006, memory: 52540, decode.loss_ce: 0.1820, decode.acc_seg: 92.5889, loss: 0.1820 +2023-03-04 10:58:25,372 - mmseg - INFO - Iter [146500/160000] lr: 1.172e-06, eta: 0:53:43, time: 0.191, data_time: 0.006, memory: 52540, decode.loss_ce: 0.1863, decode.acc_seg: 92.2816, loss: 0.1863 +2023-03-04 10:58:35,178 - mmseg - INFO - Iter [146550/160000] lr: 1.172e-06, eta: 0:53:31, time: 0.196, data_time: 0.006, memory: 52540, decode.loss_ce: 0.1758, decode.acc_seg: 92.7443, loss: 0.1758 +2023-03-04 10:58:44,698 - mmseg - INFO - Iter [146600/160000] lr: 1.172e-06, eta: 0:53:18, time: 0.190, data_time: 0.006, memory: 52540, decode.loss_ce: 0.1843, decode.acc_seg: 92.5002, loss: 0.1843 +2023-03-04 10:58:54,669 - mmseg - INFO - Iter [146650/160000] lr: 1.172e-06, eta: 0:53:06, time: 0.199, data_time: 0.006, memory: 52540, decode.loss_ce: 0.1804, decode.acc_seg: 92.6838, loss: 0.1804 +2023-03-04 10:59:04,598 - mmseg - INFO - Iter [146700/160000] lr: 1.172e-06, eta: 0:52:54, time: 0.199, data_time: 0.006, memory: 52540, decode.loss_ce: 0.1842, decode.acc_seg: 92.4387, loss: 0.1842 +2023-03-04 10:59:14,123 - mmseg - INFO - Iter [146750/160000] lr: 1.172e-06, eta: 0:52:42, time: 0.190, data_time: 0.006, memory: 52540, decode.loss_ce: 0.1771, decode.acc_seg: 92.5602, loss: 0.1771 +2023-03-04 10:59:24,025 - mmseg - INFO - Iter [146800/160000] lr: 1.172e-06, eta: 0:52:30, time: 0.198, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1865, decode.acc_seg: 92.2778, loss: 0.1865 +2023-03-04 10:59:33,521 - mmseg - INFO - Iter [146850/160000] lr: 1.172e-06, eta: 0:52:18, time: 0.190, data_time: 0.006, memory: 52540, decode.loss_ce: 0.1804, decode.acc_seg: 92.5838, loss: 0.1804 +2023-03-04 10:59:43,218 - mmseg - INFO - Iter [146900/160000] lr: 1.172e-06, eta: 0:52:06, time: 0.194, data_time: 0.006, memory: 52540, decode.loss_ce: 0.1781, decode.acc_seg: 92.5710, loss: 0.1781 +2023-03-04 10:59:53,084 - mmseg - INFO - Iter [146950/160000] lr: 1.172e-06, eta: 0:51:54, time: 0.198, data_time: 0.006, memory: 52540, decode.loss_ce: 0.1824, decode.acc_seg: 92.4988, loss: 0.1824 +2023-03-04 11:00:03,077 - mmseg - INFO - Exp name: ablation_segformer_mit_b2_segformer_head_unet_fc_small_multi_step_ade_single_stage.py +2023-03-04 11:00:03,077 - mmseg - INFO - Iter [147000/160000] lr: 1.172e-06, eta: 0:51:41, time: 0.200, data_time: 0.006, memory: 52540, decode.loss_ce: 0.1855, decode.acc_seg: 92.3951, loss: 0.1855 +2023-03-04 11:00:15,370 - mmseg - INFO - Iter [147050/160000] lr: 1.172e-06, eta: 0:51:30, time: 0.246, data_time: 0.054, memory: 52540, decode.loss_ce: 0.1895, decode.acc_seg: 92.3907, loss: 0.1895 +2023-03-04 11:00:24,885 - mmseg - INFO - Iter [147100/160000] lr: 1.172e-06, eta: 0:51:17, time: 0.190, data_time: 0.006, memory: 52540, decode.loss_ce: 0.1854, decode.acc_seg: 92.3189, loss: 0.1854 +2023-03-04 11:00:34,442 - mmseg - INFO - Iter [147150/160000] lr: 1.172e-06, eta: 0:51:05, time: 0.191, data_time: 0.006, memory: 52540, decode.loss_ce: 0.1865, decode.acc_seg: 92.3143, loss: 0.1865 +2023-03-04 11:00:44,214 - mmseg - INFO - Iter [147200/160000] lr: 1.172e-06, eta: 0:50:53, time: 0.195, data_time: 0.006, memory: 52540, decode.loss_ce: 0.1866, decode.acc_seg: 92.3774, loss: 0.1866 +2023-03-04 11:00:53,808 - mmseg - INFO - Iter [147250/160000] lr: 1.172e-06, eta: 0:50:41, time: 0.192, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1853, decode.acc_seg: 92.4061, loss: 0.1853 +2023-03-04 11:01:03,351 - mmseg - INFO - Iter [147300/160000] lr: 1.172e-06, eta: 0:50:29, time: 0.191, data_time: 0.006, memory: 52540, decode.loss_ce: 0.1803, decode.acc_seg: 92.5855, loss: 0.1803 +2023-03-04 11:01:12,977 - mmseg - INFO - Iter [147350/160000] lr: 1.172e-06, eta: 0:50:17, time: 0.193, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1828, decode.acc_seg: 92.4753, loss: 0.1828 +2023-03-04 11:01:23,179 - mmseg - INFO - Iter [147400/160000] lr: 1.172e-06, eta: 0:50:05, time: 0.204, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1803, decode.acc_seg: 92.6382, loss: 0.1803 +2023-03-04 11:01:32,879 - mmseg - INFO - Iter [147450/160000] lr: 1.172e-06, eta: 0:49:53, time: 0.194, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1829, decode.acc_seg: 92.4974, loss: 0.1829 +2023-03-04 11:01:42,702 - mmseg - INFO - Iter [147500/160000] lr: 1.172e-06, eta: 0:49:41, time: 0.196, data_time: 0.006, memory: 52540, decode.loss_ce: 0.1788, decode.acc_seg: 92.5609, loss: 0.1788 +2023-03-04 11:01:52,603 - mmseg - INFO - Iter [147550/160000] lr: 1.172e-06, eta: 0:49:28, time: 0.198, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1822, decode.acc_seg: 92.4872, loss: 0.1822 +2023-03-04 11:02:02,260 - mmseg - INFO - Iter [147600/160000] lr: 1.172e-06, eta: 0:49:16, time: 0.193, data_time: 0.006, memory: 52540, decode.loss_ce: 0.1860, decode.acc_seg: 92.3475, loss: 0.1860 +2023-03-04 11:02:11,977 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- mmseg - INFO - Iter [147900/160000] lr: 1.172e-06, eta: 0:48:04, time: 0.190, data_time: 0.006, memory: 52540, decode.loss_ce: 0.1895, decode.acc_seg: 92.3229, loss: 0.1895 +2023-03-04 11:03:12,442 - mmseg - INFO - Iter [147950/160000] lr: 1.172e-06, eta: 0:47:52, time: 0.198, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1889, decode.acc_seg: 92.2972, loss: 0.1889 +2023-03-04 11:03:22,058 - mmseg - INFO - Exp name: ablation_segformer_mit_b2_segformer_head_unet_fc_small_multi_step_ade_single_stage.py +2023-03-04 11:03:22,058 - mmseg - INFO - Iter [148000/160000] lr: 1.172e-06, eta: 0:47:40, time: 0.192, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1806, decode.acc_seg: 92.5943, loss: 0.1806 +2023-03-04 11:03:31,657 - mmseg - INFO - Iter [148050/160000] lr: 1.172e-06, eta: 0:47:28, time: 0.192, data_time: 0.006, memory: 52540, decode.loss_ce: 0.1836, decode.acc_seg: 92.3647, loss: 0.1836 +2023-03-04 11:03:41,359 - mmseg - INFO - Iter [148100/160000] lr: 1.172e-06, eta: 0:47:15, time: 0.194, data_time: 0.006, memory: 52540, decode.loss_ce: 0.1853, decode.acc_seg: 92.4952, loss: 0.1853 +2023-03-04 11:03:51,069 - mmseg - INFO - Iter [148150/160000] lr: 1.172e-06, eta: 0:47:03, time: 0.194, data_time: 0.006, memory: 52540, decode.loss_ce: 0.1776, decode.acc_seg: 92.7051, loss: 0.1776 +2023-03-04 11:04:00,676 - mmseg - INFO - Iter [148200/160000] lr: 1.172e-06, eta: 0:46:51, time: 0.192, data_time: 0.006, memory: 52540, decode.loss_ce: 0.1856, decode.acc_seg: 92.3902, loss: 0.1856 +2023-03-04 11:04:10,625 - mmseg - INFO - Iter [148250/160000] lr: 1.172e-06, eta: 0:46:39, time: 0.199, data_time: 0.006, memory: 52540, decode.loss_ce: 0.1839, decode.acc_seg: 92.4975, loss: 0.1839 +2023-03-04 11:04:22,863 - mmseg - INFO - Iter [148300/160000] lr: 1.172e-06, eta: 0:46:27, time: 0.245, data_time: 0.056, memory: 52540, decode.loss_ce: 0.1765, decode.acc_seg: 92.6577, loss: 0.1765 +2023-03-04 11:04:32,484 - mmseg - INFO - Iter [148350/160000] lr: 1.172e-06, eta: 0:46:15, time: 0.192, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1785, decode.acc_seg: 92.6601, loss: 0.1785 +2023-03-04 11:04:42,180 - mmseg - INFO - Iter [148400/160000] lr: 1.172e-06, eta: 0:46:03, time: 0.194, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1806, decode.acc_seg: 92.6720, loss: 0.1806 +2023-03-04 11:04:52,099 - mmseg - INFO - Iter [148450/160000] lr: 1.172e-06, eta: 0:45:51, time: 0.198, data_time: 0.006, memory: 52540, decode.loss_ce: 0.1829, decode.acc_seg: 92.6370, loss: 0.1829 +2023-03-04 11:05:01,648 - mmseg - INFO - Iter [148500/160000] lr: 1.172e-06, eta: 0:45:39, time: 0.191, data_time: 0.006, memory: 52540, decode.loss_ce: 0.1796, decode.acc_seg: 92.5410, loss: 0.1796 +2023-03-04 11:05:11,138 - mmseg - INFO - Iter [148550/160000] lr: 1.172e-06, eta: 0:45:27, time: 0.190, data_time: 0.006, memory: 52540, decode.loss_ce: 0.1849, decode.acc_seg: 92.4571, loss: 0.1849 +2023-03-04 11:05:20,724 - mmseg - INFO - Iter [148600/160000] lr: 1.172e-06, eta: 0:45:15, time: 0.192, data_time: 0.006, memory: 52540, decode.loss_ce: 0.1866, decode.acc_seg: 92.3462, loss: 0.1866 +2023-03-04 11:05:30,324 - mmseg - INFO - Iter [148650/160000] lr: 1.172e-06, eta: 0:45:03, time: 0.192, data_time: 0.006, memory: 52540, decode.loss_ce: 0.1850, decode.acc_seg: 92.4550, loss: 0.1850 +2023-03-04 11:05:40,439 - mmseg - INFO - Iter [148700/160000] lr: 1.172e-06, eta: 0:44:51, time: 0.202, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1797, decode.acc_seg: 92.5219, loss: 0.1797 +2023-03-04 11:05:50,053 - mmseg - INFO - Iter [148750/160000] lr: 1.172e-06, eta: 0:44:39, time: 0.192, data_time: 0.006, memory: 52540, decode.loss_ce: 0.1801, decode.acc_seg: 92.6083, loss: 0.1801 +2023-03-04 11:06:00,076 - mmseg - INFO - Iter [148800/160000] lr: 1.172e-06, eta: 0:44:27, time: 0.200, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1851, decode.acc_seg: 92.3325, loss: 0.1851 +2023-03-04 11:06:09,553 - mmseg - INFO - Iter [148850/160000] lr: 1.172e-06, eta: 0:44:14, time: 0.190, data_time: 0.006, memory: 52540, decode.loss_ce: 0.1883, decode.acc_seg: 92.4078, loss: 0.1883 +2023-03-04 11:06:19,338 - mmseg - INFO - Iter [148900/160000] lr: 1.172e-06, eta: 0:44:02, time: 0.196, data_time: 0.006, memory: 52540, decode.loss_ce: 0.1864, decode.acc_seg: 92.4300, loss: 0.1864 +2023-03-04 11:06:31,413 - mmseg - INFO - Iter [148950/160000] lr: 1.172e-06, eta: 0:43:50, time: 0.241, data_time: 0.056, memory: 52540, decode.loss_ce: 0.1839, decode.acc_seg: 92.4098, loss: 0.1839 +2023-03-04 11:06:40,966 - mmseg - INFO - Exp name: ablation_segformer_mit_b2_segformer_head_unet_fc_small_multi_step_ade_single_stage.py +2023-03-04 11:06:40,966 - mmseg - INFO - Iter [149000/160000] lr: 1.172e-06, eta: 0:43:38, time: 0.191, data_time: 0.006, memory: 52540, decode.loss_ce: 0.1891, decode.acc_seg: 92.2213, loss: 0.1891 +2023-03-04 11:06:50,509 - mmseg - INFO - Iter [149050/160000] lr: 1.172e-06, eta: 0:43:26, time: 0.191, data_time: 0.006, memory: 52540, decode.loss_ce: 0.1944, decode.acc_seg: 92.2388, loss: 0.1944 +2023-03-04 11:07:00,178 - mmseg - INFO - Iter [149100/160000] lr: 1.172e-06, eta: 0:43:14, time: 0.193, data_time: 0.006, memory: 52540, decode.loss_ce: 0.1850, decode.acc_seg: 92.4448, loss: 0.1850 +2023-03-04 11:07:09,970 - mmseg - INFO - Iter [149150/160000] lr: 1.172e-06, eta: 0:43:02, time: 0.196, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1822, decode.acc_seg: 92.4751, loss: 0.1822 +2023-03-04 11:07:19,934 - mmseg - INFO - Iter [149200/160000] lr: 1.172e-06, eta: 0:42:50, time: 0.199, data_time: 0.006, memory: 52540, decode.loss_ce: 0.1777, decode.acc_seg: 92.5935, loss: 0.1777 +2023-03-04 11:07:29,685 - mmseg - INFO - Iter [149250/160000] lr: 1.172e-06, eta: 0:42:38, time: 0.195, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1852, decode.acc_seg: 92.5352, loss: 0.1852 +2023-03-04 11:07:39,290 - mmseg - INFO - Iter [149300/160000] lr: 1.172e-06, eta: 0:42:26, time: 0.192, data_time: 0.006, memory: 52540, decode.loss_ce: 0.1809, decode.acc_seg: 92.6768, loss: 0.1809 +2023-03-04 11:07:48,949 - mmseg - INFO - Iter [149350/160000] lr: 1.172e-06, eta: 0:42:14, time: 0.193, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1907, decode.acc_seg: 92.2447, loss: 0.1907 +2023-03-04 11:07:58,527 - mmseg - INFO - Iter [149400/160000] lr: 1.172e-06, eta: 0:42:02, time: 0.192, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1933, decode.acc_seg: 92.1388, loss: 0.1933 +2023-03-04 11:08:08,050 - mmseg - INFO - Iter [149450/160000] lr: 1.172e-06, eta: 0:41:50, time: 0.190, data_time: 0.006, memory: 52540, decode.loss_ce: 0.1805, decode.acc_seg: 92.5434, loss: 0.1805 +2023-03-04 11:08:17,563 - mmseg - INFO - Iter [149500/160000] lr: 1.172e-06, eta: 0:41:38, time: 0.190, data_time: 0.006, memory: 52540, decode.loss_ce: 0.1714, decode.acc_seg: 92.8188, loss: 0.1714 +2023-03-04 11:08:29,576 - mmseg - INFO - Iter [149550/160000] lr: 1.172e-06, eta: 0:41:26, time: 0.240, data_time: 0.056, memory: 52540, decode.loss_ce: 0.1825, decode.acc_seg: 92.5037, loss: 0.1825 +2023-03-04 11:08:39,219 - mmseg - INFO - Iter [149600/160000] lr: 1.172e-06, eta: 0:41:14, time: 0.193, data_time: 0.006, memory: 52540, decode.loss_ce: 0.1905, decode.acc_seg: 92.1992, loss: 0.1905 +2023-03-04 11:08:48,837 - mmseg - INFO - Iter [149650/160000] lr: 1.172e-06, eta: 0:41:02, time: 0.192, data_time: 0.006, memory: 52540, decode.loss_ce: 0.1846, decode.acc_seg: 92.5060, loss: 0.1846 +2023-03-04 11:08:58,394 - mmseg - INFO - Iter [149700/160000] lr: 1.172e-06, eta: 0:40:50, time: 0.191, data_time: 0.006, memory: 52540, decode.loss_ce: 0.1790, decode.acc_seg: 92.5953, loss: 0.1790 +2023-03-04 11:09:08,132 - mmseg - INFO - Iter [149750/160000] lr: 1.172e-06, eta: 0:40:38, time: 0.195, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1799, decode.acc_seg: 92.5983, loss: 0.1799 +2023-03-04 11:09:17,768 - mmseg - INFO - Iter [149800/160000] lr: 1.172e-06, eta: 0:40:26, time: 0.193, data_time: 0.006, memory: 52540, decode.loss_ce: 0.1845, decode.acc_seg: 92.4687, loss: 0.1845 +2023-03-04 11:09:27,481 - mmseg - INFO - Iter [149850/160000] lr: 1.172e-06, eta: 0:40:14, time: 0.194, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1851, decode.acc_seg: 92.4543, loss: 0.1851 +2023-03-04 11:09:37,228 - mmseg - INFO - Iter [149900/160000] lr: 1.172e-06, eta: 0:40:02, time: 0.195, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1870, decode.acc_seg: 92.3688, loss: 0.1870 +2023-03-04 11:09:47,171 - mmseg - INFO - Iter [149950/160000] lr: 1.172e-06, eta: 0:39:50, time: 0.199, data_time: 0.006, memory: 52540, decode.loss_ce: 0.1896, decode.acc_seg: 92.3128, loss: 0.1896 +2023-03-04 11:09:56,809 - mmseg - INFO - Exp name: ablation_segformer_mit_b2_segformer_head_unet_fc_small_multi_step_ade_single_stage.py +2023-03-04 11:09:56,810 - mmseg - INFO - Iter [150000/160000] lr: 1.172e-06, eta: 0:39:37, time: 0.193, data_time: 0.006, memory: 52540, decode.loss_ce: 0.1870, decode.acc_seg: 92.4985, loss: 0.1870 +2023-03-04 11:10:06,430 - mmseg - INFO - Iter [150050/160000] lr: 1.172e-06, eta: 0:39:25, time: 0.192, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1896, decode.acc_seg: 92.2044, loss: 0.1896 +2023-03-04 11:10:16,159 - mmseg - INFO - Iter [150100/160000] lr: 1.172e-06, eta: 0:39:13, time: 0.195, data_time: 0.006, memory: 52540, decode.loss_ce: 0.1781, decode.acc_seg: 92.5425, loss: 0.1781 +2023-03-04 11:10:25,777 - mmseg - INFO - Iter [150150/160000] lr: 1.172e-06, eta: 0:39:01, time: 0.192, data_time: 0.006, memory: 52540, decode.loss_ce: 0.1833, decode.acc_seg: 92.4051, loss: 0.1833 +2023-03-04 11:10:38,242 - mmseg - INFO - Iter [150200/160000] lr: 1.172e-06, eta: 0:38:50, time: 0.249, data_time: 0.052, memory: 52540, decode.loss_ce: 0.1881, decode.acc_seg: 92.4271, loss: 0.1881 +2023-03-04 11:10:47,847 - mmseg - INFO - Iter [150250/160000] lr: 1.172e-06, eta: 0:38:38, time: 0.192, data_time: 0.006, memory: 52540, decode.loss_ce: 0.1886, decode.acc_seg: 92.4082, loss: 0.1886 +2023-03-04 11:10:57,561 - mmseg - INFO - Iter [150300/160000] lr: 1.172e-06, eta: 0:38:25, time: 0.194, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1875, decode.acc_seg: 92.3866, loss: 0.1875 +2023-03-04 11:11:07,324 - mmseg - INFO - Iter [150350/160000] lr: 1.172e-06, eta: 0:38:13, time: 0.195, data_time: 0.006, memory: 52540, decode.loss_ce: 0.1809, decode.acc_seg: 92.6529, loss: 0.1809 +2023-03-04 11:11:17,287 - mmseg - INFO - Iter [150400/160000] lr: 1.172e-06, eta: 0:38:01, time: 0.199, data_time: 0.006, memory: 52540, decode.loss_ce: 0.1830, decode.acc_seg: 92.4949, loss: 0.1830 +2023-03-04 11:11:26,873 - mmseg - INFO - Iter [150450/160000] lr: 1.172e-06, eta: 0:37:49, time: 0.192, data_time: 0.006, memory: 52540, decode.loss_ce: 0.1804, decode.acc_seg: 92.7335, loss: 0.1804 +2023-03-04 11:11:36,506 - mmseg - INFO - Iter [150500/160000] lr: 1.172e-06, eta: 0:37:37, time: 0.193, data_time: 0.006, memory: 52540, decode.loss_ce: 0.1848, decode.acc_seg: 92.4524, loss: 0.1848 +2023-03-04 11:11:46,358 - mmseg - INFO - Iter [150550/160000] lr: 1.172e-06, eta: 0:37:25, time: 0.197, data_time: 0.006, memory: 52540, decode.loss_ce: 0.1796, decode.acc_seg: 92.5587, loss: 0.1796 +2023-03-04 11:11:56,021 - mmseg - INFO - Iter [150600/160000] lr: 1.172e-06, eta: 0:37:13, time: 0.193, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1886, decode.acc_seg: 92.2412, loss: 0.1886 +2023-03-04 11:12:05,664 - mmseg - INFO - Iter [150650/160000] lr: 1.172e-06, eta: 0:37:01, time: 0.193, data_time: 0.006, memory: 52540, decode.loss_ce: 0.1785, decode.acc_seg: 92.6198, loss: 0.1785 +2023-03-04 11:12:15,469 - mmseg - INFO - Iter [150700/160000] lr: 1.172e-06, eta: 0:36:49, time: 0.196, data_time: 0.006, memory: 52540, decode.loss_ce: 0.1772, decode.acc_seg: 92.6691, loss: 0.1772 +2023-03-04 11:12:25,147 - mmseg - INFO - Iter [150750/160000] lr: 1.172e-06, eta: 0:36:37, time: 0.194, data_time: 0.006, memory: 52540, decode.loss_ce: 0.1885, decode.acc_seg: 92.2462, loss: 0.1885 +2023-03-04 11:12:34,775 - mmseg - INFO - Iter [150800/160000] lr: 1.172e-06, eta: 0:36:25, time: 0.193, data_time: 0.006, memory: 52540, decode.loss_ce: 0.1879, decode.acc_seg: 92.2946, loss: 0.1879 +2023-03-04 11:12:47,036 - mmseg - INFO - Iter [150850/160000] lr: 1.172e-06, eta: 0:36:13, time: 0.245, data_time: 0.053, memory: 52540, decode.loss_ce: 0.1832, decode.acc_seg: 92.5915, loss: 0.1832 +2023-03-04 11:12:56,514 - mmseg - INFO - Iter [150900/160000] lr: 1.172e-06, eta: 0:36:01, time: 0.190, data_time: 0.006, memory: 52540, decode.loss_ce: 0.1857, decode.acc_seg: 92.4305, loss: 0.1857 +2023-03-04 11:13:06,216 - mmseg - INFO - Iter [150950/160000] lr: 1.172e-06, eta: 0:35:49, time: 0.194, data_time: 0.006, memory: 52540, decode.loss_ce: 0.1831, decode.acc_seg: 92.5311, loss: 0.1831 +2023-03-04 11:13:15,963 - mmseg - INFO - Exp name: ablation_segformer_mit_b2_segformer_head_unet_fc_small_multi_step_ade_single_stage.py +2023-03-04 11:13:15,963 - mmseg - INFO - Iter [151000/160000] lr: 1.172e-06, eta: 0:35:37, time: 0.195, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1855, decode.acc_seg: 92.3128, loss: 0.1855 +2023-03-04 11:13:25,503 - mmseg - INFO - Iter [151050/160000] lr: 1.172e-06, eta: 0:35:25, time: 0.191, data_time: 0.006, memory: 52540, decode.loss_ce: 0.1861, decode.acc_seg: 92.3026, loss: 0.1861 +2023-03-04 11:13:35,202 - mmseg - INFO - Iter [151100/160000] lr: 1.172e-06, eta: 0:35:13, time: 0.194, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1815, decode.acc_seg: 92.6054, loss: 0.1815 +2023-03-04 11:13:44,865 - mmseg - INFO - Iter [151150/160000] lr: 1.172e-06, eta: 0:35:01, time: 0.193, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1825, decode.acc_seg: 92.5694, loss: 0.1825 +2023-03-04 11:13:54,694 - mmseg - INFO - Iter [151200/160000] lr: 1.172e-06, eta: 0:34:49, time: 0.197, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1861, decode.acc_seg: 92.1912, loss: 0.1861 +2023-03-04 11:14:04,260 - mmseg - INFO - Iter [151250/160000] lr: 1.172e-06, eta: 0:34:37, time: 0.191, data_time: 0.006, memory: 52540, decode.loss_ce: 0.1862, decode.acc_seg: 92.3798, loss: 0.1862 +2023-03-04 11:14:14,001 - mmseg - INFO - Iter [151300/160000] lr: 1.172e-06, eta: 0:34:25, time: 0.195, data_time: 0.006, memory: 52540, decode.loss_ce: 0.1824, decode.acc_seg: 92.5010, loss: 0.1824 +2023-03-04 11:14:23,647 - mmseg - INFO - Iter [151350/160000] lr: 1.172e-06, eta: 0:34:13, time: 0.193, data_time: 0.006, memory: 52540, decode.loss_ce: 0.1858, decode.acc_seg: 92.4272, loss: 0.1858 +2023-03-04 11:14:33,184 - mmseg - INFO - Iter [151400/160000] lr: 1.172e-06, eta: 0:34:01, time: 0.191, data_time: 0.006, memory: 52540, decode.loss_ce: 0.1885, decode.acc_seg: 92.3150, loss: 0.1885 +2023-03-04 11:14:45,223 - mmseg - INFO - Iter [151450/160000] lr: 1.172e-06, eta: 0:33:50, time: 0.241, data_time: 0.056, memory: 52540, decode.loss_ce: 0.1882, decode.acc_seg: 92.3526, loss: 0.1882 +2023-03-04 11:14:55,245 - mmseg - INFO - Iter [151500/160000] lr: 1.172e-06, eta: 0:33:38, time: 0.200, data_time: 0.006, memory: 52540, decode.loss_ce: 0.1860, decode.acc_seg: 92.4048, loss: 0.1860 +2023-03-04 11:15:04,849 - mmseg - INFO - Iter [151550/160000] lr: 1.172e-06, eta: 0:33:26, time: 0.192, data_time: 0.006, memory: 52540, decode.loss_ce: 0.1799, decode.acc_seg: 92.6731, loss: 0.1799 +2023-03-04 11:15:14,455 - mmseg - INFO - Iter [151600/160000] lr: 1.172e-06, eta: 0:33:14, time: 0.192, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1771, decode.acc_seg: 92.6640, loss: 0.1771 +2023-03-04 11:15:24,055 - mmseg - INFO - Iter [151650/160000] lr: 1.172e-06, eta: 0:33:02, time: 0.192, data_time: 0.006, memory: 52540, decode.loss_ce: 0.1786, decode.acc_seg: 92.5761, loss: 0.1786 +2023-03-04 11:15:33,722 - mmseg - INFO - Iter [151700/160000] lr: 1.172e-06, eta: 0:32:50, time: 0.193, data_time: 0.006, memory: 52540, decode.loss_ce: 0.1845, decode.acc_seg: 92.4712, loss: 0.1845 +2023-03-04 11:15:43,344 - mmseg - INFO - Iter [151750/160000] lr: 1.172e-06, eta: 0:32:38, time: 0.192, data_time: 0.006, memory: 52540, decode.loss_ce: 0.1809, decode.acc_seg: 92.5096, loss: 0.1809 +2023-03-04 11:15:53,449 - mmseg - INFO - Iter [151800/160000] lr: 1.172e-06, eta: 0:32:26, time: 0.202, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1895, decode.acc_seg: 92.2378, loss: 0.1895 +2023-03-04 11:16:02,971 - mmseg - INFO - Iter [151850/160000] lr: 1.172e-06, eta: 0:32:14, time: 0.190, data_time: 0.006, memory: 52540, decode.loss_ce: 0.1870, decode.acc_seg: 92.3606, loss: 0.1870 +2023-03-04 11:16:12,637 - mmseg - INFO - Iter [151900/160000] lr: 1.172e-06, eta: 0:32:02, time: 0.193, data_time: 0.006, memory: 52540, decode.loss_ce: 0.1870, decode.acc_seg: 92.4020, loss: 0.1870 +2023-03-04 11:16:22,382 - mmseg - INFO - Iter [151950/160000] lr: 1.172e-06, eta: 0:31:50, time: 0.195, data_time: 0.006, memory: 52540, decode.loss_ce: 0.1856, decode.acc_seg: 92.2851, loss: 0.1856 +2023-03-04 11:16:31,862 - mmseg - INFO - Exp name: ablation_segformer_mit_b2_segformer_head_unet_fc_small_multi_step_ade_single_stage.py +2023-03-04 11:16:31,863 - mmseg - INFO - Iter [152000/160000] lr: 1.172e-06, eta: 0:31:38, time: 0.190, data_time: 0.006, memory: 52540, decode.loss_ce: 0.1776, decode.acc_seg: 92.6915, loss: 0.1776 +2023-03-04 11:16:41,476 - mmseg - INFO - Iter [152050/160000] lr: 1.172e-06, eta: 0:31:26, time: 0.192, data_time: 0.006, memory: 52540, decode.loss_ce: 0.1824, decode.acc_seg: 92.6499, loss: 0.1824 +2023-03-04 11:16:53,511 - mmseg - INFO - Iter [152100/160000] lr: 1.172e-06, eta: 0:31:14, time: 0.241, data_time: 0.058, memory: 52540, decode.loss_ce: 0.1816, decode.acc_seg: 92.4477, loss: 0.1816 +2023-03-04 11:17:03,001 - mmseg - INFO - Iter [152150/160000] lr: 1.172e-06, eta: 0:31:02, time: 0.190, data_time: 0.006, memory: 52540, decode.loss_ce: 0.1926, decode.acc_seg: 92.2297, loss: 0.1926 +2023-03-04 11:17:12,577 - mmseg - INFO - Iter [152200/160000] lr: 1.172e-06, eta: 0:30:50, time: 0.192, data_time: 0.006, memory: 52540, decode.loss_ce: 0.1840, decode.acc_seg: 92.4935, loss: 0.1840 +2023-03-04 11:17:22,293 - mmseg - INFO - Iter [152250/160000] lr: 1.172e-06, eta: 0:30:38, time: 0.194, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1842, decode.acc_seg: 92.3832, loss: 0.1842 +2023-03-04 11:17:31,962 - mmseg - INFO - Iter [152300/160000] lr: 1.172e-06, eta: 0:30:26, time: 0.193, data_time: 0.006, memory: 52540, decode.loss_ce: 0.1778, decode.acc_seg: 92.6934, loss: 0.1778 +2023-03-04 11:17:41,424 - mmseg - INFO - Iter [152350/160000] lr: 1.172e-06, eta: 0:30:14, time: 0.189, data_time: 0.006, memory: 52540, decode.loss_ce: 0.1778, decode.acc_seg: 92.5889, loss: 0.1778 +2023-03-04 11:17:50,970 - mmseg - INFO - Iter [152400/160000] lr: 1.172e-06, eta: 0:30:02, time: 0.191, data_time: 0.006, memory: 52540, decode.loss_ce: 0.1831, decode.acc_seg: 92.3893, loss: 0.1831 +2023-03-04 11:18:00,546 - mmseg - INFO - Iter [152450/160000] lr: 1.172e-06, eta: 0:29:50, time: 0.192, data_time: 0.006, memory: 52540, decode.loss_ce: 0.1798, decode.acc_seg: 92.5322, loss: 0.1798 +2023-03-04 11:18:10,158 - mmseg - INFO - Iter [152500/160000] lr: 1.172e-06, eta: 0:29:38, time: 0.192, data_time: 0.006, memory: 52540, decode.loss_ce: 0.1825, decode.acc_seg: 92.2894, loss: 0.1825 +2023-03-04 11:18:20,235 - mmseg - INFO - Iter [152550/160000] lr: 1.172e-06, eta: 0:29:26, time: 0.202, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1842, decode.acc_seg: 92.4039, loss: 0.1842 +2023-03-04 11:18:30,412 - mmseg - INFO - Iter [152600/160000] lr: 1.172e-06, eta: 0:29:14, time: 0.204, data_time: 0.008, memory: 52540, decode.loss_ce: 0.1869, decode.acc_seg: 92.4257, loss: 0.1869 +2023-03-04 11:18:40,058 - mmseg - INFO - Iter [152650/160000] lr: 1.172e-06, eta: 0:29:02, time: 0.193, data_time: 0.006, memory: 52540, decode.loss_ce: 0.1814, decode.acc_seg: 92.5957, loss: 0.1814 +2023-03-04 11:18:49,757 - mmseg - INFO - Iter [152700/160000] lr: 1.172e-06, eta: 0:28:50, time: 0.194, data_time: 0.006, memory: 52540, decode.loss_ce: 0.1784, decode.acc_seg: 92.6014, loss: 0.1784 +2023-03-04 11:19:01,987 - mmseg - INFO - Iter [152750/160000] lr: 1.172e-06, eta: 0:28:38, time: 0.245, data_time: 0.060, memory: 52540, decode.loss_ce: 0.1835, decode.acc_seg: 92.4845, loss: 0.1835 +2023-03-04 11:19:11,608 - mmseg - INFO - Iter [152800/160000] lr: 1.172e-06, eta: 0:28:26, time: 0.192, data_time: 0.006, memory: 52540, decode.loss_ce: 0.1763, decode.acc_seg: 92.7818, loss: 0.1763 +2023-03-04 11:19:21,240 - mmseg - INFO - Iter [152850/160000] lr: 1.172e-06, eta: 0:28:14, time: 0.193, data_time: 0.006, memory: 52540, decode.loss_ce: 0.1852, decode.acc_seg: 92.4061, loss: 0.1852 +2023-03-04 11:19:30,712 - mmseg - INFO - Iter [152900/160000] lr: 1.172e-06, eta: 0:28:03, time: 0.189, data_time: 0.006, memory: 52540, decode.loss_ce: 0.1791, decode.acc_seg: 92.5884, loss: 0.1791 +2023-03-04 11:19:40,442 - mmseg - INFO - Iter [152950/160000] lr: 1.172e-06, eta: 0:27:51, time: 0.195, data_time: 0.006, memory: 52540, decode.loss_ce: 0.1808, decode.acc_seg: 92.5557, loss: 0.1808 +2023-03-04 11:19:49,898 - mmseg - INFO - Exp name: ablation_segformer_mit_b2_segformer_head_unet_fc_small_multi_step_ade_single_stage.py +2023-03-04 11:19:49,898 - mmseg - INFO - Iter [153000/160000] lr: 1.172e-06, eta: 0:27:39, time: 0.189, data_time: 0.006, memory: 52540, decode.loss_ce: 0.1815, decode.acc_seg: 92.5296, loss: 0.1815 +2023-03-04 11:19:59,472 - mmseg - INFO - Iter [153050/160000] lr: 1.172e-06, eta: 0:27:27, time: 0.191, data_time: 0.006, memory: 52540, decode.loss_ce: 0.1789, decode.acc_seg: 92.5441, loss: 0.1789 +2023-03-04 11:20:08,967 - mmseg - INFO - Iter [153100/160000] lr: 1.172e-06, eta: 0:27:15, time: 0.190, data_time: 0.006, memory: 52540, decode.loss_ce: 0.1805, decode.acc_seg: 92.5799, loss: 0.1805 +2023-03-04 11:20:18,619 - mmseg - INFO - Iter [153150/160000] lr: 1.172e-06, eta: 0:27:03, time: 0.193, data_time: 0.006, memory: 52540, decode.loss_ce: 0.1871, decode.acc_seg: 92.2181, loss: 0.1871 +2023-03-04 11:20:28,385 - mmseg - INFO - Iter [153200/160000] lr: 1.172e-06, eta: 0:26:51, time: 0.195, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1805, decode.acc_seg: 92.5405, loss: 0.1805 +2023-03-04 11:20:38,065 - mmseg - INFO - Iter [153250/160000] lr: 1.172e-06, eta: 0:26:39, time: 0.194, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1841, decode.acc_seg: 92.5193, loss: 0.1841 +2023-03-04 11:20:47,592 - mmseg - INFO - Iter [153300/160000] lr: 1.172e-06, eta: 0:26:27, time: 0.191, data_time: 0.006, memory: 52540, decode.loss_ce: 0.1846, decode.acc_seg: 92.5433, loss: 0.1846 +2023-03-04 11:20:59,719 - mmseg - INFO - Iter [153350/160000] lr: 1.172e-06, eta: 0:26:15, time: 0.243, data_time: 0.055, memory: 52540, decode.loss_ce: 0.1821, decode.acc_seg: 92.5856, loss: 0.1821 +2023-03-04 11:21:09,308 - mmseg - INFO - Iter [153400/160000] lr: 1.172e-06, eta: 0:26:03, time: 0.192, data_time: 0.006, memory: 52540, decode.loss_ce: 0.1750, decode.acc_seg: 92.8135, loss: 0.1750 +2023-03-04 11:21:19,019 - mmseg - INFO - Iter [153450/160000] lr: 1.172e-06, eta: 0:25:51, time: 0.194, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1796, decode.acc_seg: 92.5480, loss: 0.1796 +2023-03-04 11:21:28,669 - mmseg - INFO - Iter [153500/160000] lr: 1.172e-06, eta: 0:25:39, time: 0.193, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1809, decode.acc_seg: 92.4667, loss: 0.1809 +2023-03-04 11:21:38,238 - mmseg - INFO - Iter [153550/160000] lr: 1.172e-06, eta: 0:25:27, time: 0.191, data_time: 0.006, memory: 52540, decode.loss_ce: 0.1824, decode.acc_seg: 92.3567, loss: 0.1824 +2023-03-04 11:21:48,160 - mmseg - INFO - Iter [153600/160000] lr: 1.172e-06, eta: 0:25:15, time: 0.198, data_time: 0.006, memory: 52540, decode.loss_ce: 0.1794, decode.acc_seg: 92.5531, loss: 0.1794 +2023-03-04 11:21:57,974 - mmseg - INFO - Iter [153650/160000] lr: 1.172e-06, eta: 0:25:03, time: 0.196, data_time: 0.006, memory: 52540, decode.loss_ce: 0.1835, decode.acc_seg: 92.3685, loss: 0.1835 +2023-03-04 11:22:07,443 - mmseg - INFO - Iter [153700/160000] lr: 1.172e-06, eta: 0:24:52, time: 0.189, data_time: 0.006, memory: 52540, decode.loss_ce: 0.1886, decode.acc_seg: 92.2215, loss: 0.1886 +2023-03-04 11:22:17,019 - mmseg - INFO - Iter [153750/160000] lr: 1.172e-06, eta: 0:24:40, time: 0.192, data_time: 0.006, memory: 52540, decode.loss_ce: 0.1798, decode.acc_seg: 92.6031, loss: 0.1798 +2023-03-04 11:22:26,638 - mmseg - INFO - Iter [153800/160000] lr: 1.172e-06, eta: 0:24:28, time: 0.192, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1832, decode.acc_seg: 92.5423, loss: 0.1832 +2023-03-04 11:22:36,273 - mmseg - INFO - Iter [153850/160000] lr: 1.172e-06, eta: 0:24:16, time: 0.193, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1807, decode.acc_seg: 92.6571, loss: 0.1807 +2023-03-04 11:22:45,722 - mmseg - INFO - Iter [153900/160000] lr: 1.172e-06, eta: 0:24:04, time: 0.189, data_time: 0.006, memory: 52540, decode.loss_ce: 0.1842, decode.acc_seg: 92.4485, loss: 0.1842 +2023-03-04 11:22:55,344 - mmseg - INFO - Iter [153950/160000] lr: 1.172e-06, eta: 0:23:52, time: 0.192, data_time: 0.006, memory: 52540, decode.loss_ce: 0.1842, decode.acc_seg: 92.4836, loss: 0.1842 +2023-03-04 11:23:07,719 - mmseg - INFO - Exp name: ablation_segformer_mit_b2_segformer_head_unet_fc_small_multi_step_ade_single_stage.py +2023-03-04 11:23:07,719 - mmseg - INFO - Iter [154000/160000] lr: 1.172e-06, eta: 0:23:40, time: 0.248, data_time: 0.057, memory: 52540, decode.loss_ce: 0.1860, decode.acc_seg: 92.3830, loss: 0.1860 +2023-03-04 11:23:17,256 - mmseg - INFO - Iter [154050/160000] lr: 1.172e-06, eta: 0:23:28, time: 0.191, data_time: 0.006, memory: 52540, decode.loss_ce: 0.1695, decode.acc_seg: 93.0043, loss: 0.1695 +2023-03-04 11:23:26,741 - mmseg - INFO - Iter [154100/160000] lr: 1.172e-06, eta: 0:23:16, time: 0.190, data_time: 0.006, memory: 52540, decode.loss_ce: 0.1795, decode.acc_seg: 92.6845, loss: 0.1795 +2023-03-04 11:23:36,209 - mmseg - INFO - Iter [154150/160000] lr: 1.172e-06, eta: 0:23:04, time: 0.189, data_time: 0.006, memory: 52540, decode.loss_ce: 0.1921, decode.acc_seg: 92.1935, loss: 0.1921 +2023-03-04 11:23:45,700 - mmseg - INFO - Iter [154200/160000] lr: 1.172e-06, eta: 0:22:52, time: 0.190, data_time: 0.006, memory: 52540, decode.loss_ce: 0.1867, decode.acc_seg: 92.3365, loss: 0.1867 +2023-03-04 11:23:55,190 - mmseg - INFO - Iter [154250/160000] lr: 1.172e-06, eta: 0:22:40, time: 0.190, data_time: 0.006, memory: 52540, decode.loss_ce: 0.1856, decode.acc_seg: 92.3534, loss: 0.1856 +2023-03-04 11:24:04,688 - mmseg - INFO - Iter [154300/160000] lr: 1.172e-06, eta: 0:22:29, time: 0.190, data_time: 0.006, memory: 52540, decode.loss_ce: 0.1842, decode.acc_seg: 92.4314, loss: 0.1842 +2023-03-04 11:24:14,878 - mmseg - INFO - Iter [154350/160000] lr: 1.172e-06, eta: 0:22:17, time: 0.204, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1889, decode.acc_seg: 92.2457, loss: 0.1889 +2023-03-04 11:24:24,511 - mmseg - INFO - Iter [154400/160000] lr: 1.172e-06, eta: 0:22:05, time: 0.193, data_time: 0.006, memory: 52540, decode.loss_ce: 0.1799, decode.acc_seg: 92.5380, loss: 0.1799 +2023-03-04 11:24:34,088 - mmseg - INFO - Iter [154450/160000] lr: 1.172e-06, eta: 0:21:53, time: 0.192, data_time: 0.006, memory: 52540, decode.loss_ce: 0.1899, decode.acc_seg: 92.2315, loss: 0.1899 +2023-03-04 11:24:43,762 - mmseg - INFO - Iter [154500/160000] lr: 1.172e-06, eta: 0:21:41, time: 0.193, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1825, decode.acc_seg: 92.5879, loss: 0.1825 +2023-03-04 11:24:53,549 - mmseg - INFO - Iter [154550/160000] lr: 1.172e-06, eta: 0:21:29, time: 0.196, data_time: 0.006, memory: 52540, decode.loss_ce: 0.1931, decode.acc_seg: 92.2225, loss: 0.1931 +2023-03-04 11:25:05,549 - mmseg - INFO - Iter [154600/160000] lr: 1.172e-06, eta: 0:21:17, time: 0.240, data_time: 0.052, memory: 52540, decode.loss_ce: 0.1897, decode.acc_seg: 92.2653, loss: 0.1897 +2023-03-04 11:25:15,210 - mmseg - INFO - Iter [154650/160000] lr: 1.172e-06, eta: 0:21:05, time: 0.193, data_time: 0.006, memory: 52540, decode.loss_ce: 0.1833, decode.acc_seg: 92.4488, loss: 0.1833 +2023-03-04 11:25:24,675 - mmseg - INFO - Iter [154700/160000] lr: 1.172e-06, eta: 0:20:53, time: 0.189, data_time: 0.006, memory: 52540, decode.loss_ce: 0.1768, decode.acc_seg: 92.7587, loss: 0.1768 +2023-03-04 11:25:34,331 - mmseg - INFO - Iter [154750/160000] lr: 1.172e-06, eta: 0:20:41, time: 0.193, data_time: 0.006, memory: 52540, decode.loss_ce: 0.1886, decode.acc_seg: 92.3276, loss: 0.1886 +2023-03-04 11:25:44,145 - mmseg - INFO - Iter [154800/160000] lr: 1.172e-06, eta: 0:20:30, time: 0.196, data_time: 0.006, memory: 52540, decode.loss_ce: 0.1789, decode.acc_seg: 92.6322, loss: 0.1789 +2023-03-04 11:25:54,003 - mmseg - INFO - Iter [154850/160000] lr: 1.172e-06, eta: 0:20:18, time: 0.197, data_time: 0.006, memory: 52540, decode.loss_ce: 0.1869, decode.acc_seg: 92.3083, loss: 0.1869 +2023-03-04 11:26:03,821 - mmseg - INFO - Iter [154900/160000] lr: 1.172e-06, eta: 0:20:06, time: 0.197, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1837, decode.acc_seg: 92.4342, loss: 0.1837 +2023-03-04 11:26:13,298 - mmseg - INFO - Iter [154950/160000] lr: 1.172e-06, eta: 0:19:54, time: 0.190, data_time: 0.006, memory: 52540, decode.loss_ce: 0.1867, decode.acc_seg: 92.3988, loss: 0.1867 +2023-03-04 11:26:22,845 - mmseg - INFO - Exp name: ablation_segformer_mit_b2_segformer_head_unet_fc_small_multi_step_ade_single_stage.py +2023-03-04 11:26:22,846 - mmseg - INFO - Iter [155000/160000] lr: 1.172e-06, eta: 0:19:42, time: 0.191, data_time: 0.006, memory: 52540, decode.loss_ce: 0.1841, decode.acc_seg: 92.4217, loss: 0.1841 +2023-03-04 11:26:32,620 - mmseg - INFO - Iter [155050/160000] lr: 1.172e-06, eta: 0:19:30, time: 0.195, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1858, decode.acc_seg: 92.3973, loss: 0.1858 +2023-03-04 11:26:42,280 - mmseg - INFO - Iter [155100/160000] lr: 1.172e-06, eta: 0:19:18, time: 0.193, data_time: 0.006, memory: 52540, decode.loss_ce: 0.1859, decode.acc_seg: 92.2109, loss: 0.1859 +2023-03-04 11:26:52,001 - mmseg - INFO - Iter [155150/160000] lr: 1.172e-06, eta: 0:19:06, time: 0.194, data_time: 0.006, memory: 52540, decode.loss_ce: 0.1806, decode.acc_seg: 92.6795, loss: 0.1806 +2023-03-04 11:27:01,471 - mmseg - INFO - Iter [155200/160000] lr: 1.172e-06, eta: 0:18:54, time: 0.189, data_time: 0.006, memory: 52540, decode.loss_ce: 0.1843, decode.acc_seg: 92.3552, loss: 0.1843 +2023-03-04 11:27:13,501 - mmseg - INFO - Iter [155250/160000] lr: 1.172e-06, eta: 0:18:43, time: 0.241, data_time: 0.053, memory: 52540, decode.loss_ce: 0.1847, decode.acc_seg: 92.4588, loss: 0.1847 +2023-03-04 11:27:23,023 - mmseg - INFO - Iter [155300/160000] lr: 1.172e-06, eta: 0:18:31, time: 0.190, data_time: 0.006, memory: 52540, decode.loss_ce: 0.1797, decode.acc_seg: 92.4130, loss: 0.1797 +2023-03-04 11:27:32,708 - mmseg - INFO - Iter [155350/160000] lr: 1.172e-06, eta: 0:18:19, time: 0.194, data_time: 0.006, memory: 52540, decode.loss_ce: 0.1904, decode.acc_seg: 92.1801, loss: 0.1904 +2023-03-04 11:27:42,252 - mmseg - INFO - Iter [155400/160000] lr: 1.172e-06, eta: 0:18:07, time: 0.191, data_time: 0.006, memory: 52540, decode.loss_ce: 0.1826, decode.acc_seg: 92.6813, loss: 0.1826 +2023-03-04 11:27:52,157 - mmseg - INFO - Iter [155450/160000] lr: 1.172e-06, eta: 0:17:55, time: 0.198, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1881, decode.acc_seg: 92.3329, loss: 0.1881 +2023-03-04 11:28:01,638 - mmseg - INFO - Iter [155500/160000] lr: 1.172e-06, eta: 0:17:43, time: 0.190, data_time: 0.006, memory: 52540, decode.loss_ce: 0.1786, decode.acc_seg: 92.5694, loss: 0.1786 +2023-03-04 11:28:11,561 - mmseg - INFO - Iter [155550/160000] lr: 1.172e-06, eta: 0:17:31, time: 0.198, data_time: 0.006, memory: 52540, decode.loss_ce: 0.1871, decode.acc_seg: 92.3189, loss: 0.1871 +2023-03-04 11:28:21,245 - mmseg - INFO - Iter [155600/160000] lr: 1.172e-06, eta: 0:17:19, time: 0.194, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1821, decode.acc_seg: 92.5618, loss: 0.1821 +2023-03-04 11:28:30,730 - mmseg - INFO - Iter [155650/160000] lr: 1.172e-06, eta: 0:17:08, time: 0.189, data_time: 0.006, memory: 52540, decode.loss_ce: 0.1773, decode.acc_seg: 92.7094, loss: 0.1773 +2023-03-04 11:28:40,383 - mmseg - INFO - Iter [155700/160000] lr: 1.172e-06, eta: 0:16:56, time: 0.193, data_time: 0.006, memory: 52540, decode.loss_ce: 0.1849, decode.acc_seg: 92.5023, loss: 0.1849 +2023-03-04 11:28:49,957 - mmseg - INFO - Iter [155750/160000] lr: 1.172e-06, eta: 0:16:44, time: 0.191, data_time: 0.006, memory: 52540, decode.loss_ce: 0.1862, decode.acc_seg: 92.2762, loss: 0.1862 +2023-03-04 11:28:59,491 - mmseg - INFO - Iter [155800/160000] lr: 1.172e-06, eta: 0:16:32, time: 0.191, data_time: 0.006, memory: 52540, decode.loss_ce: 0.1828, decode.acc_seg: 92.5342, loss: 0.1828 +2023-03-04 11:29:09,130 - mmseg - INFO - Iter [155850/160000] lr: 1.172e-06, eta: 0:16:20, time: 0.193, data_time: 0.006, memory: 52540, decode.loss_ce: 0.1862, decode.acc_seg: 92.4025, loss: 0.1862 +2023-03-04 11:29:21,325 - mmseg - INFO - Iter [155900/160000] lr: 1.172e-06, eta: 0:16:08, time: 0.244, data_time: 0.055, memory: 52540, decode.loss_ce: 0.1929, decode.acc_seg: 92.1158, loss: 0.1929 +2023-03-04 11:29:31,058 - mmseg - INFO - Iter [155950/160000] lr: 1.172e-06, eta: 0:15:56, time: 0.195, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1793, decode.acc_seg: 92.6045, loss: 0.1793 +2023-03-04 11:29:40,634 - mmseg - INFO - Exp name: ablation_segformer_mit_b2_segformer_head_unet_fc_small_multi_step_ade_single_stage.py +2023-03-04 11:29:40,635 - mmseg - INFO - Iter [156000/160000] lr: 1.172e-06, eta: 0:15:44, time: 0.192, data_time: 0.006, memory: 52540, decode.loss_ce: 0.1812, decode.acc_seg: 92.4639, loss: 0.1812 +2023-03-04 11:29:50,302 - mmseg - INFO - Iter [156050/160000] lr: 1.172e-06, eta: 0:15:33, time: 0.193, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1831, decode.acc_seg: 92.4090, loss: 0.1831 +2023-03-04 11:29:59,913 - mmseg - INFO - Iter [156100/160000] lr: 1.172e-06, eta: 0:15:21, time: 0.192, data_time: 0.006, memory: 52540, decode.loss_ce: 0.1793, decode.acc_seg: 92.7195, loss: 0.1793 +2023-03-04 11:30:09,851 - mmseg - INFO - Iter [156150/160000] lr: 1.172e-06, eta: 0:15:09, time: 0.199, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1919, decode.acc_seg: 92.1094, loss: 0.1919 +2023-03-04 11:30:19,933 - mmseg - INFO - Iter [156200/160000] lr: 1.172e-06, eta: 0:14:57, time: 0.202, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1751, decode.acc_seg: 92.8105, loss: 0.1751 +2023-03-04 11:30:29,832 - mmseg - INFO - Iter [156250/160000] lr: 1.172e-06, eta: 0:14:45, time: 0.198, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1777, decode.acc_seg: 92.7007, loss: 0.1777 +2023-03-04 11:30:39,369 - mmseg - INFO - Iter [156300/160000] lr: 1.172e-06, eta: 0:14:33, time: 0.191, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1731, decode.acc_seg: 92.8802, loss: 0.1731 +2023-03-04 11:30:48,958 - mmseg - INFO - Iter [156350/160000] lr: 1.172e-06, eta: 0:14:21, time: 0.192, data_time: 0.006, memory: 52540, decode.loss_ce: 0.1816, decode.acc_seg: 92.5228, loss: 0.1816 +2023-03-04 11:30:58,485 - mmseg - INFO - Iter [156400/160000] lr: 1.172e-06, eta: 0:14:10, time: 0.191, data_time: 0.006, memory: 52540, decode.loss_ce: 0.1785, decode.acc_seg: 92.7239, loss: 0.1785 +2023-03-04 11:31:08,052 - mmseg - INFO - Iter [156450/160000] lr: 1.172e-06, eta: 0:13:58, time: 0.191, data_time: 0.006, memory: 52540, decode.loss_ce: 0.1863, decode.acc_seg: 92.2862, loss: 0.1863 +2023-03-04 11:31:20,331 - mmseg - INFO - Iter [156500/160000] lr: 1.172e-06, eta: 0:13:46, time: 0.245, data_time: 0.054, memory: 52540, decode.loss_ce: 0.1897, decode.acc_seg: 92.2714, loss: 0.1897 +2023-03-04 11:31:30,122 - mmseg - INFO - Iter [156550/160000] lr: 1.172e-06, eta: 0:13:34, time: 0.196, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1881, decode.acc_seg: 92.2793, loss: 0.1881 +2023-03-04 11:31:39,935 - mmseg - INFO - Iter [156600/160000] lr: 1.172e-06, eta: 0:13:22, time: 0.196, data_time: 0.006, memory: 52540, decode.loss_ce: 0.1786, decode.acc_seg: 92.5030, loss: 0.1786 +2023-03-04 11:31:49,520 - mmseg - INFO - Iter [156650/160000] lr: 1.172e-06, eta: 0:13:10, time: 0.192, data_time: 0.006, memory: 52540, decode.loss_ce: 0.1878, decode.acc_seg: 92.2114, loss: 0.1878 +2023-03-04 11:31:59,226 - mmseg - INFO - Iter [156700/160000] lr: 1.172e-06, eta: 0:12:59, time: 0.194, data_time: 0.006, memory: 52540, decode.loss_ce: 0.1833, decode.acc_seg: 92.4551, loss: 0.1833 +2023-03-04 11:32:08,805 - mmseg - INFO - Iter [156750/160000] lr: 1.172e-06, eta: 0:12:47, time: 0.192, data_time: 0.006, memory: 52540, decode.loss_ce: 0.1864, decode.acc_seg: 92.3359, loss: 0.1864 +2023-03-04 11:32:18,757 - mmseg - INFO - Iter [156800/160000] lr: 1.172e-06, eta: 0:12:35, time: 0.199, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1791, decode.acc_seg: 92.8604, loss: 0.1791 +2023-03-04 11:32:28,468 - mmseg - INFO - Iter [156850/160000] lr: 1.172e-06, eta: 0:12:23, time: 0.194, data_time: 0.006, memory: 52540, decode.loss_ce: 0.1875, decode.acc_seg: 92.2275, loss: 0.1875 +2023-03-04 11:32:38,153 - mmseg - INFO - Iter [156900/160000] lr: 1.172e-06, eta: 0:12:11, time: 0.194, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1843, decode.acc_seg: 92.4897, loss: 0.1843 +2023-03-04 11:32:47,817 - mmseg - INFO - Iter [156950/160000] lr: 1.172e-06, eta: 0:11:59, time: 0.193, data_time: 0.006, memory: 52540, decode.loss_ce: 0.1833, decode.acc_seg: 92.4603, loss: 0.1833 +2023-03-04 11:32:57,582 - mmseg - INFO - Exp name: ablation_segformer_mit_b2_segformer_head_unet_fc_small_multi_step_ade_single_stage.py +2023-03-04 11:32:57,582 - mmseg - INFO - Iter [157000/160000] lr: 1.172e-06, eta: 0:11:47, time: 0.195, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1838, decode.acc_seg: 92.3537, loss: 0.1838 +2023-03-04 11:33:07,174 - mmseg - INFO - Iter [157050/160000] lr: 1.172e-06, eta: 0:11:36, time: 0.192, data_time: 0.006, memory: 52540, decode.loss_ce: 0.1857, decode.acc_seg: 92.5866, loss: 0.1857 +2023-03-04 11:33:16,921 - mmseg - INFO - Iter [157100/160000] lr: 1.172e-06, eta: 0:11:24, time: 0.195, data_time: 0.006, memory: 52540, decode.loss_ce: 0.1847, decode.acc_seg: 92.4119, loss: 0.1847 +2023-03-04 11:33:29,137 - mmseg - INFO - Iter [157150/160000] lr: 1.172e-06, eta: 0:11:12, time: 0.244, data_time: 0.055, memory: 52540, decode.loss_ce: 0.1872, decode.acc_seg: 92.3022, loss: 0.1872 +2023-03-04 11:33:38,683 - mmseg - INFO - Iter [157200/160000] lr: 1.172e-06, eta: 0:11:00, time: 0.191, data_time: 0.006, memory: 52540, decode.loss_ce: 0.1874, decode.acc_seg: 92.3371, loss: 0.1874 +2023-03-04 11:33:48,311 - mmseg - INFO - Iter [157250/160000] lr: 1.172e-06, eta: 0:10:48, time: 0.193, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1855, decode.acc_seg: 92.3098, loss: 0.1855 +2023-03-04 11:33:58,045 - mmseg - INFO - Iter [157300/160000] lr: 1.172e-06, eta: 0:10:37, time: 0.195, data_time: 0.006, memory: 52540, decode.loss_ce: 0.1840, decode.acc_seg: 92.5245, loss: 0.1840 +2023-03-04 11:34:07,538 - mmseg - INFO - Iter [157350/160000] lr: 1.172e-06, eta: 0:10:25, time: 0.190, data_time: 0.006, memory: 52540, decode.loss_ce: 0.1803, decode.acc_seg: 92.4933, loss: 0.1803 +2023-03-04 11:34:17,088 - mmseg - INFO - Iter [157400/160000] lr: 1.172e-06, eta: 0:10:13, time: 0.191, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1878, decode.acc_seg: 92.3564, loss: 0.1878 +2023-03-04 11:34:26,753 - mmseg - INFO - Iter [157450/160000] lr: 1.172e-06, eta: 0:10:01, time: 0.193, data_time: 0.006, memory: 52540, decode.loss_ce: 0.1778, decode.acc_seg: 92.6315, loss: 0.1778 +2023-03-04 11:34:36,362 - mmseg - INFO - Iter [157500/160000] lr: 1.172e-06, eta: 0:09:49, time: 0.192, data_time: 0.006, memory: 52540, decode.loss_ce: 0.1904, decode.acc_seg: 92.3608, loss: 0.1904 +2023-03-04 11:34:46,150 - mmseg - INFO - Iter [157550/160000] lr: 1.172e-06, eta: 0:09:37, time: 0.196, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1890, decode.acc_seg: 92.4309, loss: 0.1890 +2023-03-04 11:34:55,932 - mmseg - INFO - Iter [157600/160000] lr: 1.172e-06, eta: 0:09:26, time: 0.196, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1862, decode.acc_seg: 92.4832, loss: 0.1862 +2023-03-04 11:35:05,481 - mmseg - INFO - Iter [157650/160000] lr: 1.172e-06, eta: 0:09:14, time: 0.191, data_time: 0.006, memory: 52540, decode.loss_ce: 0.1791, decode.acc_seg: 92.4669, loss: 0.1791 +2023-03-04 11:35:14,962 - mmseg - INFO - Iter [157700/160000] lr: 1.172e-06, eta: 0:09:02, time: 0.190, data_time: 0.006, memory: 52540, decode.loss_ce: 0.1830, decode.acc_seg: 92.4342, loss: 0.1830 +2023-03-04 11:35:24,391 - mmseg - INFO - Iter [157750/160000] lr: 1.172e-06, eta: 0:08:50, time: 0.189, data_time: 0.006, memory: 52540, decode.loss_ce: 0.1736, decode.acc_seg: 92.7555, loss: 0.1736 +2023-03-04 11:35:36,872 - mmseg - INFO - Iter [157800/160000] lr: 1.172e-06, eta: 0:08:38, time: 0.250, data_time: 0.056, memory: 52540, decode.loss_ce: 0.1802, decode.acc_seg: 92.6356, loss: 0.1802 +2023-03-04 11:35:46,631 - mmseg - INFO - Iter [157850/160000] lr: 1.172e-06, eta: 0:08:26, time: 0.195, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1859, decode.acc_seg: 92.3629, loss: 0.1859 +2023-03-04 11:35:56,219 - mmseg - INFO - Iter [157900/160000] lr: 1.172e-06, eta: 0:08:15, time: 0.192, data_time: 0.006, memory: 52540, decode.loss_ce: 0.1879, decode.acc_seg: 92.4534, loss: 0.1879 +2023-03-04 11:36:05,729 - mmseg - INFO - Iter [157950/160000] lr: 1.172e-06, eta: 0:08:03, time: 0.190, data_time: 0.006, memory: 52540, decode.loss_ce: 0.1921, decode.acc_seg: 92.2109, loss: 0.1921 +2023-03-04 11:36:15,202 - mmseg - INFO - Exp name: ablation_segformer_mit_b2_segformer_head_unet_fc_small_multi_step_ade_single_stage.py +2023-03-04 11:36:15,203 - mmseg - INFO - Iter [158000/160000] lr: 1.172e-06, eta: 0:07:51, time: 0.189, data_time: 0.006, memory: 52540, decode.loss_ce: 0.1829, decode.acc_seg: 92.3285, loss: 0.1829 +2023-03-04 11:36:24,675 - mmseg - INFO - Iter [158050/160000] lr: 1.172e-06, eta: 0:07:39, time: 0.189, data_time: 0.006, memory: 52540, decode.loss_ce: 0.1800, decode.acc_seg: 92.5110, loss: 0.1800 +2023-03-04 11:36:34,381 - mmseg - INFO - Iter [158100/160000] lr: 1.172e-06, eta: 0:07:27, time: 0.194, data_time: 0.006, memory: 52540, decode.loss_ce: 0.1847, decode.acc_seg: 92.2426, loss: 0.1847 +2023-03-04 11:36:44,185 - mmseg - INFO - Iter [158150/160000] lr: 1.172e-06, eta: 0:07:16, time: 0.196, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1797, decode.acc_seg: 92.6491, loss: 0.1797 +2023-03-04 11:36:53,905 - mmseg - INFO - Iter [158200/160000] lr: 1.172e-06, eta: 0:07:04, time: 0.194, data_time: 0.006, memory: 52540, decode.loss_ce: 0.1772, decode.acc_seg: 92.6899, loss: 0.1772 +2023-03-04 11:37:03,538 - mmseg - INFO - Iter [158250/160000] lr: 1.172e-06, eta: 0:06:52, time: 0.193, data_time: 0.006, memory: 52540, decode.loss_ce: 0.1830, decode.acc_seg: 92.3794, loss: 0.1830 +2023-03-04 11:37:13,038 - mmseg - INFO - Iter [158300/160000] lr: 1.172e-06, eta: 0:06:40, time: 0.190, data_time: 0.006, memory: 52540, decode.loss_ce: 0.1891, decode.acc_seg: 92.1101, loss: 0.1891 +2023-03-04 11:37:22,516 - mmseg - INFO - Iter [158350/160000] lr: 1.172e-06, eta: 0:06:28, time: 0.190, data_time: 0.006, memory: 52540, decode.loss_ce: 0.1879, decode.acc_seg: 92.4273, loss: 0.1879 +2023-03-04 11:37:34,553 - mmseg - INFO - Iter [158400/160000] lr: 1.172e-06, eta: 0:06:17, time: 0.241, data_time: 0.054, memory: 52540, decode.loss_ce: 0.1802, decode.acc_seg: 92.6784, loss: 0.1802 +2023-03-04 11:37:44,134 - mmseg - INFO - Iter [158450/160000] lr: 1.172e-06, eta: 0:06:05, time: 0.192, data_time: 0.006, memory: 52540, decode.loss_ce: 0.1840, decode.acc_seg: 92.3757, loss: 0.1840 +2023-03-04 11:37:53,638 - mmseg - INFO - Iter [158500/160000] lr: 1.172e-06, eta: 0:05:53, time: 0.190, data_time: 0.006, memory: 52540, decode.loss_ce: 0.1821, decode.acc_seg: 92.5460, loss: 0.1821 +2023-03-04 11:38:03,761 - mmseg - INFO - Iter [158550/160000] lr: 1.172e-06, eta: 0:05:41, time: 0.202, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1892, decode.acc_seg: 92.3417, loss: 0.1892 +2023-03-04 11:38:13,314 - mmseg - INFO - Iter [158600/160000] lr: 1.172e-06, eta: 0:05:29, time: 0.191, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1873, decode.acc_seg: 92.3103, loss: 0.1873 +2023-03-04 11:38:23,004 - mmseg - INFO - Iter [158650/160000] lr: 1.172e-06, eta: 0:05:18, time: 0.194, data_time: 0.006, memory: 52540, decode.loss_ce: 0.1789, decode.acc_seg: 92.5566, loss: 0.1789 +2023-03-04 11:38:32,910 - mmseg - INFO - Iter [158700/160000] lr: 1.172e-06, eta: 0:05:06, time: 0.198, data_time: 0.006, memory: 52540, decode.loss_ce: 0.1879, decode.acc_seg: 92.3422, loss: 0.1879 +2023-03-04 11:38:42,539 - mmseg - INFO - Iter [158750/160000] lr: 1.172e-06, eta: 0:04:54, time: 0.193, data_time: 0.006, memory: 52540, decode.loss_ce: 0.1821, decode.acc_seg: 92.4993, loss: 0.1821 +2023-03-04 11:38:52,011 - mmseg - INFO - Iter [158800/160000] lr: 1.172e-06, eta: 0:04:42, time: 0.189, data_time: 0.006, memory: 52540, decode.loss_ce: 0.1829, decode.acc_seg: 92.5833, loss: 0.1829 +2023-03-04 11:39:01,725 - mmseg - INFO - Iter [158850/160000] lr: 1.172e-06, eta: 0:04:30, time: 0.194, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1878, decode.acc_seg: 92.4150, loss: 0.1878 +2023-03-04 11:39:11,363 - mmseg - INFO - Iter [158900/160000] lr: 1.172e-06, eta: 0:04:19, time: 0.193, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1828, decode.acc_seg: 92.5000, loss: 0.1828 +2023-03-04 11:39:21,051 - mmseg - INFO - Iter [158950/160000] lr: 1.172e-06, eta: 0:04:07, time: 0.194, data_time: 0.006, memory: 52540, decode.loss_ce: 0.1824, decode.acc_seg: 92.5383, loss: 0.1824 +2023-03-04 11:39:30,758 - mmseg - INFO - Exp name: ablation_segformer_mit_b2_segformer_head_unet_fc_small_multi_step_ade_single_stage.py +2023-03-04 11:39:30,758 - mmseg - INFO - Iter [159000/160000] lr: 1.172e-06, eta: 0:03:55, time: 0.194, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1812, decode.acc_seg: 92.5928, loss: 0.1812 +2023-03-04 11:39:42,820 - mmseg - INFO - Iter [159050/160000] lr: 1.172e-06, eta: 0:03:43, time: 0.241, data_time: 0.055, memory: 52540, decode.loss_ce: 0.1827, decode.acc_seg: 92.4254, loss: 0.1827 +2023-03-04 11:39:52,670 - mmseg - INFO - Iter [159100/160000] lr: 1.172e-06, eta: 0:03:31, time: 0.197, data_time: 0.006, memory: 52540, decode.loss_ce: 0.1854, decode.acc_seg: 92.3155, loss: 0.1854 +2023-03-04 11:40:02,204 - mmseg - INFO - Iter [159150/160000] lr: 1.172e-06, eta: 0:03:20, time: 0.191, data_time: 0.006, memory: 52540, decode.loss_ce: 0.1863, decode.acc_seg: 92.3090, loss: 0.1863 +2023-03-04 11:40:11,653 - mmseg - INFO - Iter [159200/160000] lr: 1.172e-06, eta: 0:03:08, time: 0.189, data_time: 0.006, memory: 52540, decode.loss_ce: 0.1799, decode.acc_seg: 92.5492, loss: 0.1799 +2023-03-04 11:40:21,482 - mmseg - INFO - Iter [159250/160000] lr: 1.172e-06, eta: 0:02:56, time: 0.197, data_time: 0.006, memory: 52540, decode.loss_ce: 0.1834, decode.acc_seg: 92.2185, loss: 0.1834 +2023-03-04 11:40:31,200 - mmseg - INFO - Iter [159300/160000] lr: 1.172e-06, eta: 0:02:44, time: 0.194, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1905, decode.acc_seg: 92.3577, loss: 0.1905 +2023-03-04 11:40:40,729 - mmseg - INFO - Iter [159350/160000] lr: 1.172e-06, eta: 0:02:33, time: 0.191, data_time: 0.006, memory: 52540, decode.loss_ce: 0.1831, decode.acc_seg: 92.4967, loss: 0.1831 +2023-03-04 11:40:50,734 - mmseg - INFO - Iter [159400/160000] lr: 1.172e-06, eta: 0:02:21, time: 0.200, data_time: 0.006, memory: 52540, decode.loss_ce: 0.1810, decode.acc_seg: 92.5420, loss: 0.1810 +2023-03-04 11:41:00,396 - mmseg - INFO - Iter [159450/160000] lr: 1.172e-06, eta: 0:02:09, time: 0.193, data_time: 0.006, memory: 52540, decode.loss_ce: 0.1762, decode.acc_seg: 92.7247, loss: 0.1762 +2023-03-04 11:41:10,092 - mmseg - INFO - Iter [159500/160000] lr: 1.172e-06, eta: 0:01:57, time: 0.194, data_time: 0.006, memory: 52540, decode.loss_ce: 0.1844, decode.acc_seg: 92.4390, loss: 0.1844 +2023-03-04 11:41:19,932 - mmseg - INFO - Iter [159550/160000] lr: 1.172e-06, eta: 0:01:45, time: 0.197, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1735, decode.acc_seg: 92.9005, loss: 0.1735 +2023-03-04 11:41:29,735 - mmseg - INFO - Iter [159600/160000] lr: 1.172e-06, eta: 0:01:34, time: 0.196, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1927, decode.acc_seg: 92.1784, loss: 0.1927 +2023-03-04 11:41:41,765 - mmseg - INFO - Iter [159650/160000] lr: 1.172e-06, eta: 0:01:22, time: 0.240, data_time: 0.054, memory: 52540, decode.loss_ce: 0.1840, decode.acc_seg: 92.5099, loss: 0.1840 +2023-03-04 11:41:51,291 - mmseg - INFO - Iter [159700/160000] lr: 1.172e-06, eta: 0:01:10, time: 0.191, data_time: 0.006, memory: 52540, decode.loss_ce: 0.1815, decode.acc_seg: 92.4321, loss: 0.1815 +2023-03-04 11:42:00,891 - mmseg - INFO - Iter [159750/160000] lr: 1.172e-06, eta: 0:00:58, time: 0.192, data_time: 0.006, memory: 52540, decode.loss_ce: 0.1892, decode.acc_seg: 92.3624, loss: 0.1892 +2023-03-04 11:42:10,681 - mmseg - INFO - Iter [159800/160000] lr: 1.172e-06, eta: 0:00:47, time: 0.196, data_time: 0.006, memory: 52540, decode.loss_ce: 0.1747, decode.acc_seg: 92.7745, loss: 0.1747 +2023-03-04 11:42:20,336 - mmseg - INFO - Iter [159850/160000] lr: 1.172e-06, eta: 0:00:35, time: 0.193, data_time: 0.006, memory: 52540, decode.loss_ce: 0.1871, decode.acc_seg: 92.4259, loss: 0.1871 +2023-03-04 11:42:30,116 - mmseg - INFO - Iter [159900/160000] lr: 1.172e-06, eta: 0:00:23, time: 0.196, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1837, decode.acc_seg: 92.4412, loss: 0.1837 +2023-03-04 11:42:39,740 - mmseg - INFO - Iter [159950/160000] lr: 1.172e-06, eta: 0:00:11, time: 0.192, data_time: 0.007, memory: 52540, decode.loss_ce: 0.1744, decode.acc_seg: 92.9917, loss: 0.1744 +2023-03-04 11:42:49,545 - mmseg - INFO - Swap parameters (after train) after iter [160000] +2023-03-04 11:42:49,559 - mmseg - INFO - Saving checkpoint at 160000 iterations +2023-03-04 11:42:50,813 - mmseg - INFO - Exp name: ablation_segformer_mit_b2_segformer_head_unet_fc_small_multi_step_ade_single_stage.py +2023-03-04 11:42:50,814 - mmseg - INFO - Iter [160000/160000] lr: 1.172e-06, eta: 0:00:00, time: 0.221, data_time: 0.006, memory: 52540, decode.loss_ce: 0.1793, decode.acc_seg: 92.6277, loss: 0.1793 +2023-03-04 11:53:46,574 - mmseg - INFO - per class results: +2023-03-04 11:53:46,583 - mmseg - INFO - ++---------------------+-------------------------------------------------------------------+ +| Class | IoU 0,10,20,30,40,50,60,70,80,90,99 | ++---------------------+-------------------------------------------------------------------+ +| background | nan,nan,nan,nan,nan,nan,nan,nan,nan,nan,nan | +| wall | 77.38,77.41,77.44,77.46,77.47,77.49,77.49,77.5,77.51,77.51,77.5 | +| building | 81.59,81.61,81.61,81.63,81.64,81.64,81.64,81.65,81.66,81.66,81.65 | +| sky | 94.38,94.39,94.4,94.41,94.42,94.43,94.44,94.43,94.45,94.45,94.45 | +| floor | 81.68,81.72,81.74,81.75,81.75,81.77,81.76,81.76,81.76,81.76,81.76 | +| tree | 74.37,74.39,74.4,74.43,74.44,74.43,74.44,74.44,74.43,74.43,74.4 | +| ceiling | 85.11,85.14,85.17,85.17,85.17,85.19,85.19,85.21,85.22,85.2,85.19 | +| road | 82.26,82.3,82.34,82.35,82.42,82.38,82.43,82.45,82.46,82.44,82.35 | +| bed | 87.72,87.78,87.8,87.84,87.82,87.83,87.83,87.85,87.86,87.84,87.87 | +| windowpane | 60.59,60.66,60.7,60.72,60.78,60.81,60.82,60.85,60.87,60.87,60.87 | +| grass | 67.1,67.16,67.2,67.27,67.33,67.35,67.38,67.4,67.42,67.46,67.49 | +| cabinet | 61.67,61.94,62.11,62.25,62.37,62.57,62.6,62.56,62.57,62.54,62.51 | +| sidewalk | 64.6,64.65,64.69,64.72,64.81,64.76,64.8,64.81,64.79,64.75,64.59 | +| person | 79.6,79.64,79.65,79.69,79.7,79.74,79.76,79.75,79.78,79.76,79.76 | +| earth | 35.95,35.95,35.96,36.0,36.04,36.01,35.96,35.95,35.9,35.83,35.74 | +| door | 45.87,45.89,45.94,45.85,45.87,45.85,45.88,45.81,45.85,45.87,45.95 | +| table | 61.3,61.43,61.56,61.61,61.73,61.83,61.83,61.81,61.84,61.85,61.85 | +| mountain | 56.53,56.51,56.58,56.73,56.78,56.88,56.94,56.96,57.01,57.07,56.91 | +| plant | 49.48,49.45,49.43,49.39,49.48,49.4,49.39,49.35,49.36,49.33,49.34 | +| curtain | 74.27,74.37,74.47,74.51,74.59,74.7,74.74,74.75,74.76,74.73,74.66 | +| chair | 56.54,56.56,56.61,56.55,56.65,56.57,56.56,56.6,56.58,56.57,56.55 | +| car | 81.81,81.86,81.89,81.94,81.99,82.02,82.02,82.05,82.06,82.1,82.13 | +| water | 57.09,57.1,57.14,57.14,57.19,57.22,57.22,57.22,57.23,57.25,57.27 | +| painting | 70.72,70.78,70.72,70.72,70.6,70.57,70.51,70.56,70.5,70.39,70.31 | +| sofa | 64.54,64.55,64.69,64.66,64.66,64.7,64.79,64.77,64.78,64.85,64.76 | +| shelf | 44.37,44.38,44.46,44.5,44.6,44.61,44.63,44.55,44.46,44.47,44.46 | +| house | 43.02,43.13,43.1,43.15,43.17,43.18,43.2,43.25,43.17,43.13,43.07 | +| sea | 60.3,60.26,60.27,60.26,60.32,60.34,60.32,60.26,60.27,60.29,60.32 | +| mirror | 67.27,67.45,67.48,67.5,67.42,67.66,67.57,67.53,67.53,67.59,67.46 | +| rug | 64.73,64.88,64.87,64.89,64.92,64.99,65.03,65.04,65.04,65.13,65.21 | +| field | 30.84,30.85,30.83,30.84,30.83,30.82,30.81,30.79,30.79,30.78,30.8 | +| armchair | 37.78,37.8,37.98,37.97,37.92,37.94,38.08,38.09,38.06,38.1,38.04 | +| seat | 66.33,66.4,66.48,66.55,66.63,66.62,66.74,66.79,66.89,66.97,66.93 | +| fence | 40.73,40.72,40.74,40.77,40.77,40.72,40.79,40.77,40.88,40.86,40.79 | +| desk | 46.64,46.83,46.96,47.14,47.21,47.36,47.54,47.3,47.12,47.08,47.0 | +| rock | 36.77,36.78,36.92,36.92,36.99,37.06,37.06,37.12,37.1,37.09,37.06 | +| wardrobe | 57.5,57.52,57.44,57.36,57.39,57.44,57.43,57.46,57.49,57.42,57.42 | +| lamp | 62.21,62.37,62.4,62.41,62.53,62.48,62.53,62.48,62.49,62.49,62.52 | +| bathtub | 77.64,77.84,77.84,77.89,78.14,78.0,77.71,77.72,77.69,77.65,77.41 | +| railing | 34.08,34.1,34.23,34.28,34.29,34.34,34.33,34.34,34.33,34.34,34.41 | +| cushion | 56.97,56.92,56.89,56.74,56.77,56.81,56.75,56.58,56.54,56.73,56.6 | +| base | 22.65,22.72,22.81,22.98,23.13,23.28,23.25,23.31,23.31,23.33,23.29 | +| box | 23.25,23.31,23.32,23.33,23.42,23.45,23.44,23.43,23.43,23.44,23.57 | +| column | 45.78,45.93,45.99,46.07,46.11,46.23,46.37,46.44,46.55,46.57,46.56 | +| signboard | 37.55,37.66,37.77,37.88,37.86,37.87,37.9,37.87,37.86,37.83,37.85 | +| chest of drawers | 35.79,35.96,36.17,36.21,36.31,36.48,36.5,36.54,36.6,36.72,36.84 | +| counter | 31.18,31.2,31.21,31.33,31.36,31.43,31.44,31.43,31.51,31.43,31.55 | +| sand | 42.0,41.98,42.03,42.04,42.05,42.06,42.1,42.12,42.16,42.14,42.15 | +| sink | 67.71,67.65,67.68,67.63,67.7,67.6,67.6,67.54,67.58,67.54,67.55 | +| skyscraper | 49.21,49.11,48.94,48.78,48.74,48.69,48.7,48.75,48.79,48.87,48.79 | +| fireplace | 76.12,76.16,76.21,76.3,76.3,76.37,76.3,76.41,76.42,76.46,76.34 | +| refrigerator | 76.44,76.58,76.82,76.85,77.04,76.99,77.21,77.24,77.44,77.54,77.14 | +| grandstand | 52.82,53.24,53.35,53.51,53.79,53.92,54.24,54.09,54.27,54.43,54.48 | +| path | 22.32,22.43,22.54,22.63,22.74,22.78,22.89,22.96,22.96,23.02,23.07 | +| stairs | 32.32,32.36,32.32,32.35,32.36,32.4,32.35,32.31,32.32,32.34,32.27 | +| runway | 67.97,68.03,68.01,68.03,68.04,68.06,68.05,68.05,68.07,68.08,68.02 | +| case | 48.98,48.96,49.07,49.14,48.99,48.98,49.04,49.02,48.88,48.85,48.92 | +| pool table | 91.35,91.36,91.38,91.39,91.39,91.37,91.33,91.39,91.44,91.45,91.43 | +| pillow | 60.79,60.62,60.42,60.42,60.18,60.22,60.15,60.06,60.0,59.96,60.09 | +| screen door | 70.81,70.84,70.72,71.17,71.05,70.91,70.89,70.74,70.3,69.74,69.5 | +| stairway | 23.93,23.98,24.1,24.17,24.13,24.25,24.21,24.23,24.2,24.21,24.22 | +| river | 12.16,12.13,12.12,12.13,12.12,12.1,12.1,12.11,12.1,12.1,12.06 | +| bridge | 31.33,31.37,31.28,31.35,31.19,31.23,31.24,31.27,31.23,31.19,31.16 | +| bookcase | 47.01,47.09,47.04,47.08,47.1,47.11,47.1,47.05,47.04,47.08,46.93 | +| blind | 39.65,39.55,39.72,39.63,39.73,39.77,39.76,39.97,39.9,39.89,39.89 | +| coffee table | 53.65,53.62,53.7,53.72,53.59,53.78,53.65,53.58,53.64,53.56,53.62 | +| toilet | 83.65,83.67,83.66,83.67,83.69,83.55,83.58,83.53,83.55,83.48,83.42 | +| flower | 38.88,38.8,38.87,38.83,38.81,38.83,38.78,38.77,38.75,38.75,38.79 | +| book | 45.22,45.07,45.13,45.19,45.18,45.18,45.22,45.2,45.21,45.28,45.25 | +| hill | 15.61,15.54,15.4,15.39,15.3,15.28,15.22,15.2,15.2,15.16,15.25 | +| bench | 43.11,42.89,42.68,42.65,42.55,42.47,42.41,42.26,42.14,42.0,41.8 | +| countertop | 56.07,56.21,56.35,56.48,56.54,56.52,56.66,56.65,56.66,56.7,56.62 | +| stove | 72.45,72.71,72.66,72.69,72.77,72.6,72.81,72.73,72.83,72.85,72.89 | +| palm | 47.77,47.75,47.77,47.75,47.74,47.71,47.71,47.65,47.67,47.68,47.72 | +| kitchen island | 45.78,46.12,46.9,47.06,47.13,47.46,47.37,47.41,47.37,47.28,47.11 | +| computer | 60.86,60.83,60.85,60.8,60.8,60.77,60.8,60.78,60.75,60.69,60.72 | +| swivel chair | 44.01,44.16,44.15,44.05,44.19,43.96,43.91,43.96,44.03,43.97,44.02 | +| boat | 73.12,73.1,73.27,73.55,73.76,73.78,73.78,73.93,74.09,74.26,74.3 | +| bar | 23.79,23.84,23.86,23.89,23.91,23.92,23.92,23.95,23.91,23.96,23.98 | +| arcade machine | 69.74,70.1,70.55,70.63,70.58,71.13,71.28,71.41,71.47,71.38,70.33 | +| hovel | 31.0,31.16,31.33,31.32,31.46,31.5,31.34,31.18,31.46,31.28,30.68 | +| bus | 79.61,79.63,79.56,79.53,79.58,79.51,79.55,79.62,79.6,79.63,79.68 | +| towel | 61.39,61.47,61.53,61.59,61.84,61.86,61.73,61.77,61.8,61.79,61.94 | +| light | 56.14,56.09,56.16,56.2,56.3,56.4,56.3,56.46,56.4,56.5,56.47 | +| truck | 19.51,19.42,19.44,19.33,19.28,19.27,19.14,19.23,19.11,19.11,19.07 | +| tower | 7.76,7.56,7.59,7.39,7.45,7.22,7.08,7.14,7.07,6.83,6.96 | +| chandelier | 64.56,64.78,64.87,64.71,64.81,64.83,64.77,64.82,64.69,64.69,64.83 | +| awning | 23.12,23.25,23.81,23.95,23.99,24.24,24.33,24.38,24.49,24.48,24.73 | +| streetlight | 27.28,27.29,27.42,27.45,27.49,27.58,27.56,27.7,27.74,27.76,27.96 | +| booth | 46.64,46.75,46.93,47.0,47.48,47.37,48.71,49.43,49.99,50.19,50.33 | +| television receiver | 63.93,63.95,64.0,63.96,64.02,63.97,63.93,63.99,64.03,64.06,64.19 | +| airplane | 61.48,61.31,61.27,61.24,61.12,61.18,61.05,61.08,60.93,60.83,60.78 | +| dirt track | 20.71,20.89,21.18,21.35,21.47,21.73,22.02,22.23,22.38,22.55,22.68 | +| apparel | 34.62,34.67,34.7,34.92,35.14,35.1,35.23,35.31,35.45,35.13,35.15 | +| pole | 18.19,18.14,18.14,17.98,18.09,17.99,17.98,17.82,17.8,17.78,17.59 | +| land | 3.61,3.62,3.66,3.61,3.69,3.72,3.68,3.71,3.7,3.72,3.58 | +| bannister | 11.45,11.47,11.62,11.6,11.71,11.51,11.71,11.76,11.71,11.82,11.81 | +| escalator | 23.9,24.03,23.94,23.96,24.01,23.98,23.97,23.94,24.0,23.82,24.09 | +| ottoman | 41.34,41.49,41.33,41.58,41.31,40.9,40.88,41.03,41.12,41.04,41.85 | +| bottle | 34.76,34.7,34.84,34.75,34.9,35.07,34.97,35.11,35.17,35.21,35.27 | +| buffet | 43.29,44.05,44.32,44.82,45.24,45.66,45.88,46.12,46.18,46.2,46.16 | +| poster | 23.07,23.21,23.15,23.18,23.17,23.19,23.15,23.26,23.22,23.36,23.51 | +| stage | 13.96,13.87,13.6,14.11,13.79,13.75,13.7,13.55,13.58,13.57,13.37 | +| van | 38.66,38.69,38.57,38.55,38.62,38.49,38.59,38.55,38.46,38.48,38.45 | +| ship | 82.87,83.03,82.98,83.13,83.42,83.33,83.43,83.0,83.17,83.23,83.34 | +| fountain | 18.82,18.86,18.97,18.91,18.87,18.92,18.98,19.34,19.14,19.21,19.4 | +| conveyer belt | 85.33,85.32,85.54,85.69,85.88,86.13,86.19,86.43,86.61,86.64,86.75 | +| canopy | 22.24,22.69,22.82,23.26,23.3,23.43,23.6,23.63,23.86,23.85,23.97 | +| washer | 75.26,75.37,75.4,75.59,75.61,75.86,76.03,76.03,76.23,76.25,76.35 | +| plaything | 20.59,20.65,20.62,20.62,20.55,20.56,20.57,20.63,20.59,20.6,20.64 | +| swimming pool | 74.55,74.89,75.1,75.31,75.86,75.84,75.78,76.01,76.14,75.74,75.6 | +| stool | 43.09,43.28,43.23,42.99,43.05,42.84,42.83,42.93,42.85,42.8,42.76 | +| barrel | 42.91,42.2,41.63,41.51,40.73,40.33,39.87,39.66,38.8,38.85,38.78 | +| basket | 24.45,24.52,24.54,24.47,24.64,24.64,24.68,24.69,24.71,24.72,24.62 | +| waterfall | 49.26,49.32,49.25,49.41,49.43,49.56,49.41,49.45,49.47,49.53,49.53 | +| tent | 93.99,93.93,94.04,93.98,93.99,94.14,94.19,94.25,94.2,94.17,94.21 | +| bag | 16.27,16.36,16.3,16.33,16.31,16.16,16.04,16.0,15.82,15.73,15.57 | +| minibike | 61.86,62.15,62.22,62.32,62.45,62.61,62.6,62.65,62.86,63.0,63.03 | +| cradle | 85.15,85.29,85.43,85.56,85.71,85.83,85.93,86.05,86.13,86.26,86.27 | +| oven | 47.14,47.19,47.76,47.77,47.89,48.24,48.54,48.62,49.01,49.14,49.28 | +| ball | 43.82,44.03,43.84,43.89,44.04,44.01,44.18,44.11,44.21,44.13,44.19 | +| food | 54.33,54.4,54.47,54.3,54.27,54.13,53.9,54.01,53.62,53.68,53.51 | +| step | 6.18,6.21,6.4,6.31,6.47,6.5,6.52,6.59,6.65,6.64,6.64 | +| tank | 52.6,52.48,52.55,52.39,52.09,52.18,52.04,52.04,51.82,51.92,51.94 | +| trade name | 27.94,27.71,28.05,27.93,28.05,28.02,27.89,27.9,28.01,27.7,27.79 | +| microwave | 73.48,73.9,74.62,74.71,74.98,75.15,75.3,75.73,76.01,76.05,76.12 | +| pot | 30.59,30.71,30.88,31.15,31.31,31.5,31.76,31.97,32.01,32.16,32.26 | +| animal | 53.88,54.01,53.8,53.92,53.69,53.63,53.57,53.57,53.56,53.57,53.52 | +| bicycle | 53.63,53.77,53.71,53.9,53.92,53.97,54.06,54.23,54.25,54.29,54.47 | +| lake | 57.59,57.66,57.7,57.78,57.85,57.89,57.95,58.0,58.09,58.15,58.16 | +| dishwasher | 66.77,66.85,66.67,66.63,66.49,66.51,66.39,66.42,66.54,66.49,66.28 | +| screen | 70.14,70.13,70.1,69.88,69.58,69.61,69.13,69.07,68.73,68.51,68.46 | +| blanket | 17.47,17.47,17.83,18.16,18.22,18.34,18.36,18.31,18.36,18.43,18.4 | +| sculpture | 57.39,57.53,57.36,57.24,57.05,56.98,56.81,56.74,56.41,56.38,56.51 | +| hood | 57.48,57.83,57.51,57.75,57.72,57.73,57.66,57.56,57.43,57.49,57.54 | +| sconce | 42.81,42.83,42.91,43.02,42.87,43.0,42.94,42.88,43.01,42.94,43.07 | +| vase | 38.05,38.06,38.24,38.23,38.25,38.46,38.38,38.54,38.56,38.63,38.55 | +| traffic light | 32.67,32.83,33.07,33.03,33.16,33.28,33.48,33.42,33.49,33.61,33.67 | +| tray | 7.73,7.55,7.58,7.65,7.55,7.49,7.48,7.3,7.4,7.32,7.32 | +| ashcan | 38.06,38.01,37.94,37.91,37.92,37.93,37.98,38.12,37.98,37.98,38.1 | +| fan | 57.9,57.89,57.85,58.0,57.8,57.98,58.1,58.23,58.05,58.06,58.08 | +| pier | 42.7,42.34,43.95,43.75,45.14,44.9,46.03,46.14,46.87,47.42,47.35 | +| crt screen | 10.83,10.81,10.83,10.7,10.74,10.57,10.46,10.47,10.39,10.32,10.29 | +| plate | 52.97,53.07,53.4,53.6,53.77,53.83,53.86,54.12,54.13,54.19,54.23 | +| monitor | 18.21,18.1,17.88,17.81,17.74,17.37,17.05,16.88,16.38,16.18,15.76 | +| bulletin board | 36.0,36.07,36.01,36.27,36.16,36.43,36.62,36.74,36.68,36.75,36.92 | +| shower | 2.07,2.1,2.07,2.0,1.96,1.92,1.88,2.02,1.88,1.79,1.44 | +| radiator | 60.09,60.43,61.0,61.68,62.12,62.58,62.85,63.08,64.69,64.88,65.15 | +| glass | 14.11,14.13,14.24,14.11,14.08,14.03,14.02,14.02,13.91,14.0,13.97 | +| clock | 34.82,34.97,35.09,35.41,35.48,35.59,35.3,35.6,35.56,35.8,35.9 | +| flag | 35.41,35.14,34.98,34.9,34.61,34.82,34.37,34.13,34.17,34.07,34.03 | ++---------------------+-------------------------------------------------------------------+ +2023-03-04 11:53:46,583 - mmseg - INFO - Summary: +2023-03-04 11:53:46,584 - mmseg - INFO - ++-------------------------------------------------------------------+ +| mIoU 0,10,20,30,40,50,60,70,80,90,99 | ++-------------------------------------------------------------------+ +| 48.69,48.74,48.81,48.85,48.89,48.92,48.94,48.96,48.98,48.98,48.97 | ++-------------------------------------------------------------------+ +2023-03-04 11:53:46,584 - mmseg - INFO - Exp name: ablation_segformer_mit_b2_segformer_head_unet_fc_small_multi_step_ade_single_stage.py +2023-03-04 11:53:46,584 - mmseg - INFO - Iter(val) [250] mIoU: [0.4869, 0.4874, 0.4881, 0.4885, 0.4889, 0.4892, 0.4894, 0.4896, 0.4898, 0.4898, 0.4897], copy_paste: 48.69,48.74,48.81,48.85,48.89,48.92,48.94,48.96,48.98,48.98,48.97 diff --git a/ablation/ablation_segformer_mit_b2_segformer_head_unet_fc_small_multi_step_ade_single_stage/20230304_011452.log.json b/ablation/ablation_segformer_mit_b2_segformer_head_unet_fc_small_multi_step_ade_single_stage/20230304_011452.log.json new file mode 100644 index 0000000000000000000000000000000000000000..61853a6c314cb1b8f93c2e94f6787d629838e726 --- /dev/null +++ b/ablation/ablation_segformer_mit_b2_segformer_head_unet_fc_small_multi_step_ade_single_stage/20230304_011452.log.json @@ -0,0 +1,3211 @@ +{"env_info": "sys.platform: linux\nPython: 3.7.16 (default, Jan 17 2023, 22:20:44) [GCC 11.2.0]\nCUDA available: True\nGPU 0,1,2,3,4,5,6,7: NVIDIA A100-SXM4-80GB\nCUDA_HOME: /mnt/petrelfs/laizeqiang/miniconda3/envs/torch\nNVCC: Cuda compilation tools, release 11.6, V11.6.124\nGCC: gcc (GCC) 4.8.5 20150623 (Red Hat 4.8.5-44)\nPyTorch: 1.13.1\nPyTorch compiling details: PyTorch built with:\n - GCC 9.3\n - C++ Version: 201402\n - Intel(R) oneAPI Math Kernel Library Version 2021.4-Product Build 20210904 for Intel(R) 64 architecture applications\n - Intel(R) MKL-DNN v2.6.0 (Git Hash 52b5f107dd9cf10910aaa19cb47f3abf9b349815)\n - OpenMP 201511 (a.k.a. OpenMP 4.5)\n - LAPACK is enabled (usually provided by MKL)\n - NNPACK is enabled\n - CPU capability usage: AVX2\n - CUDA Runtime 11.6\n - NVCC architecture flags: -gencode;arch=compute_37,code=sm_37;-gencode;arch=compute_50,code=sm_50;-gencode;arch=compute_60,code=sm_60;-gencode;arch=compute_61,code=sm_61;-gencode;arch=compute_70,code=sm_70;-gencode;arch=compute_75,code=sm_75;-gencode;arch=compute_80,code=sm_80;-gencode;arch=compute_86,code=sm_86;-gencode;arch=compute_37,code=compute_37\n - CuDNN 8.3.2 (built against CUDA 11.5)\n - Magma 2.6.1\n - Build settings: BLAS_INFO=mkl, BUILD_TYPE=Release, CUDA_VERSION=11.6, CUDNN_VERSION=8.3.2, CXX_COMPILER=/opt/rh/devtoolset-9/root/usr/bin/c++, CXX_FLAGS= -fabi-version=11 -Wno-deprecated -fvisibility-inlines-hidden -DUSE_PTHREADPOOL -fopenmp -DNDEBUG -DUSE_KINETO -DUSE_FBGEMM -DUSE_QNNPACK -DUSE_PYTORCH_QNNPACK -DUSE_XNNPACK -DSYMBOLICATE_MOBILE_DEBUG_HANDLE -DEDGE_PROFILER_USE_KINETO -O2 -fPIC -Wno-narrowing -Wall -Wextra -Werror=return-type -Werror=non-virtual-dtor -Wno-missing-field-initializers -Wno-type-limits -Wno-array-bounds -Wno-unknown-pragmas -Wunused-local-typedefs -Wno-unused-parameter -Wno-unused-function -Wno-unused-result -Wno-strict-overflow -Wno-strict-aliasing -Wno-error=deprecated-declarations -Wno-stringop-overflow -Wno-psabi -Wno-error=pedantic -Wno-error=redundant-decls -Wno-error=old-style-cast -fdiagnostics-color=always -faligned-new -Wno-unused-but-set-variable -Wno-maybe-uninitialized -fno-math-errno -fno-trapping-math -Werror=format -Werror=cast-function-type -Wno-stringop-overflow, LAPACK_INFO=mkl, PERF_WITH_AVX=1, PERF_WITH_AVX2=1, PERF_WITH_AVX512=1, TORCH_VERSION=1.13.1, USE_CUDA=ON, USE_CUDNN=ON, USE_EXCEPTION_PTR=1, USE_GFLAGS=OFF, USE_GLOG=OFF, USE_MKL=ON, USE_MKLDNN=ON, USE_MPI=OFF, USE_NCCL=ON, USE_NNPACK=ON, USE_OPENMP=ON, USE_ROCM=OFF, \n\nTorchVision: 0.14.1\nOpenCV: 4.7.0\nMMCV: 1.7.1\nMMCV Compiler: GCC 9.3\nMMCV CUDA Compiler: 11.6\nMMSegmentation: 0.30.0+ab851eb", "seed": 768958202, "exp_name": "ablation_segformer_mit_b2_segformer_head_unet_fc_small_multi_step_ade_single_stage.py", "mmseg_version": "0.30.0+ab851eb", "config": "norm_cfg = dict(type='SyncBN', requires_grad=True)\ncheckpoint = 'work_dirs2/segformer_mit_b2_segformer_head_unet_fc_single_step_ade_pretrained_freeze_embed_80k_ade20k151/best_mIoU_iter_64000.pth'\nmodel = dict(\n type='EncoderDecoderDiffusion',\n freeze_parameters=['backbone', 'decode_head'],\n pretrained=\n 'work_dirs2/segformer_mit_b2_segformer_head_unet_fc_single_step_ade_pretrained_freeze_embed_80k_ade20k151/best_mIoU_iter_64000.pth',\n backbone=dict(\n type='MixVisionTransformerCustomInitWeights',\n in_channels=3,\n embed_dims=64,\n num_stages=4,\n num_layers=[3, 4, 6, 3],\n num_heads=[1, 2, 5, 8],\n patch_sizes=[7, 3, 3, 3],\n sr_ratios=[8, 4, 2, 1],\n out_indices=(0, 1, 2, 3),\n mlp_ratio=4,\n qkv_bias=True,\n drop_rate=0.0,\n attn_drop_rate=0.0,\n drop_path_rate=0.1,\n pretrained=\n 'work_dirs2/segformer_mit_b2_segformer_head_unet_fc_single_step_ade_pretrained_freeze_embed_80k_ade20k151/best_mIoU_iter_64000.pth'\n ),\n decode_head=dict(\n type='SegformerHeadUnetFCHeadMultiStep',\n pretrained=\n 'work_dirs2/segformer_mit_b2_segformer_head_unet_fc_single_step_ade_pretrained_freeze_embed_80k_ade20k151/best_mIoU_iter_64000.pth',\n dim=128,\n out_dim=256,\n unet_channels=272,\n dim_mults=[1, 1, 1],\n cat_embedding_dim=16,\n diffusion_timesteps=100,\n collect_timesteps=[0, 10, 20, 30, 40, 50, 60, 70, 80, 90, 99],\n in_channels=[64, 128, 320, 512],\n in_index=[0, 1, 2, 3],\n channels=256,\n dropout_ratio=0.1,\n num_classes=151,\n norm_cfg=dict(type='SyncBN', requires_grad=True),\n align_corners=False,\n ignore_index=0,\n loss_decode=dict(\n type='CrossEntropyLoss', use_sigmoid=False, loss_weight=1.0)),\n train_cfg=dict(),\n test_cfg=dict(mode='whole'))\ndataset_type = 'ADE20K151Dataset'\ndata_root = 'data/ade/ADEChallengeData2016'\nimg_norm_cfg = dict(\n mean=[123.675, 116.28, 103.53], std=[58.395, 57.12, 57.375], to_rgb=True)\ncrop_size = (512, 512)\ntrain_pipeline = [\n dict(type='LoadImageFromFile'),\n dict(type='LoadAnnotations', reduce_zero_label=False),\n dict(type='Resize', img_scale=(2048, 512), ratio_range=(0.5, 2.0)),\n dict(type='RandomCrop', crop_size=(512, 512), cat_max_ratio=0.75),\n dict(type='RandomFlip', prob=0.5),\n dict(type='PhotoMetricDistortion'),\n dict(\n type='Normalize',\n mean=[123.675, 116.28, 103.53],\n std=[58.395, 57.12, 57.375],\n to_rgb=True),\n dict(type='Pad', size=(512, 512), pad_val=0, seg_pad_val=0),\n dict(type='DefaultFormatBundle'),\n dict(type='Collect', keys=['img', 'gt_semantic_seg'])\n]\ntest_pipeline = [\n dict(type='LoadImageFromFile'),\n dict(\n type='MultiScaleFlipAug',\n img_scale=(2048, 512),\n flip=False,\n transforms=[\n dict(type='Resize', keep_ratio=True),\n dict(type='RandomFlip'),\n dict(\n type='Normalize',\n mean=[123.675, 116.28, 103.53],\n std=[58.395, 57.12, 57.375],\n to_rgb=True),\n dict(type='Pad', size_divisor=16, pad_val=0, seg_pad_val=0),\n dict(type='ImageToTensor', keys=['img']),\n dict(type='Collect', keys=['img'])\n ])\n]\ndata = dict(\n samples_per_gpu=4,\n workers_per_gpu=4,\n train=dict(\n type='ADE20K151Dataset',\n data_root='data/ade/ADEChallengeData2016',\n img_dir='images/training',\n ann_dir='annotations/training',\n pipeline=[\n dict(type='LoadImageFromFile'),\n dict(type='LoadAnnotations', reduce_zero_label=False),\n dict(type='Resize', img_scale=(2048, 512), ratio_range=(0.5, 2.0)),\n dict(type='RandomCrop', crop_size=(512, 512), cat_max_ratio=0.75),\n dict(type='RandomFlip', prob=0.5),\n dict(type='PhotoMetricDistortion'),\n dict(\n type='Normalize',\n mean=[123.675, 116.28, 103.53],\n std=[58.395, 57.12, 57.375],\n to_rgb=True),\n dict(type='Pad', size=(512, 512), pad_val=0, seg_pad_val=0),\n dict(type='DefaultFormatBundle'),\n dict(type='Collect', keys=['img', 'gt_semantic_seg'])\n ]),\n val=dict(\n type='ADE20K151Dataset',\n data_root='data/ade/ADEChallengeData2016',\n img_dir='images/validation',\n ann_dir='annotations/validation',\n pipeline=[\n dict(type='LoadImageFromFile'),\n dict(\n type='MultiScaleFlipAug',\n img_scale=(2048, 512),\n flip=False,\n transforms=[\n dict(type='Resize', keep_ratio=True),\n dict(type='RandomFlip'),\n dict(\n type='Normalize',\n mean=[123.675, 116.28, 103.53],\n std=[58.395, 57.12, 57.375],\n to_rgb=True),\n dict(\n type='Pad', size_divisor=16, pad_val=0, seg_pad_val=0),\n dict(type='ImageToTensor', keys=['img']),\n dict(type='Collect', keys=['img'])\n ])\n ]),\n test=dict(\n type='ADE20K151Dataset',\n data_root='data/ade/ADEChallengeData2016',\n img_dir='images/validation',\n ann_dir='annotations/validation',\n pipeline=[\n dict(type='LoadImageFromFile'),\n dict(\n type='MultiScaleFlipAug',\n img_scale=(2048, 512),\n flip=False,\n transforms=[\n dict(type='Resize', keep_ratio=True),\n dict(type='RandomFlip'),\n dict(\n type='Normalize',\n mean=[123.675, 116.28, 103.53],\n std=[58.395, 57.12, 57.375],\n to_rgb=True),\n dict(\n type='Pad', size_divisor=16, pad_val=0, seg_pad_val=0),\n dict(type='ImageToTensor', keys=['img']),\n dict(type='Collect', keys=['img'])\n ])\n ]))\nlog_config = dict(\n interval=50, hooks=[dict(type='TextLoggerHook', by_epoch=False)])\ndist_params = dict(backend='nccl')\nlog_level = 'INFO'\nload_from = None\nresume_from = None\nworkflow = [('train', 1)]\ncudnn_benchmark = True\noptimizer = dict(\n type='AdamW', lr=0.00015, betas=[0.9, 0.96], weight_decay=0.045)\noptimizer_config = dict()\nlr_config = dict(\n policy='step',\n warmup='linear',\n warmup_iters=1000,\n warmup_ratio=1e-06,\n step=20000,\n gamma=0.5,\n min_lr=1e-06,\n by_epoch=False)\nrunner = dict(type='IterBasedRunner', max_iters=160000)\ncheckpoint_config = dict(by_epoch=False, interval=16000, max_keep_ckpts=1)\nevaluation = dict(\n interval=16000, metric='mIoU', pre_eval=True, save_best='mIoU')\ncustom_hooks = [\n dict(\n type='ConstantMomentumEMAHook',\n momentum=0.01,\n interval=25,\n eval_interval=16000,\n auto_resume=True,\n priority=49)\n]\nwork_dir = './work_dirs2/ablation_segformer_mit_b2_segformer_head_unet_fc_small_multi_step_ade_single_stage'\ngpu_ids = range(0, 8)\nauto_resume = True\ndevice = 'cuda'\nseed = 768958202\n", "CLASSES": ["background", "wall", "building", "sky", "floor", "tree", "ceiling", "road", "bed ", "windowpane", "grass", "cabinet", "sidewalk", "person", "earth", "door", "table", "mountain", "plant", "curtain", "chair", "car", "water", "painting", "sofa", "shelf", "house", "sea", "mirror", "rug", "field", "armchair", "seat", "fence", "desk", "rock", "wardrobe", "lamp", "bathtub", "railing", "cushion", "base", "box", "column", "signboard", "chest of drawers", "counter", "sand", "sink", "skyscraper", "fireplace", "refrigerator", "grandstand", "path", "stairs", "runway", "case", "pool table", "pillow", "screen door", "stairway", "river", "bridge", "bookcase", "blind", "coffee table", "toilet", "flower", "book", "hill", "bench", "countertop", "stove", "palm", "kitchen island", "computer", "swivel chair", "boat", "bar", "arcade machine", "hovel", "bus", "towel", "light", "truck", "tower", "chandelier", "awning", "streetlight", "booth", "television receiver", "airplane", "dirt track", "apparel", "pole", "land", "bannister", "escalator", "ottoman", "bottle", "buffet", "poster", "stage", "van", "ship", "fountain", "conveyer belt", "canopy", "washer", "plaything", "swimming pool", "stool", "barrel", "basket", "waterfall", "tent", "bag", "minibike", "cradle", "oven", "ball", "food", "step", "tank", "trade name", "microwave", "pot", "animal", "bicycle", "lake", "dishwasher", "screen", "blanket", "sculpture", "hood", "sconce", "vase", "traffic light", "tray", "ashcan", "fan", "pier", "crt screen", "plate", "monitor", "bulletin board", "shower", "radiator", "glass", "clock", "flag"], "PALETTE": [[0, 0, 0], [120, 120, 120], [180, 120, 120], [6, 230, 230], [80, 50, 50], [4, 200, 3], [120, 120, 80], [140, 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+{"mode": "train", "epoch": 1, "iter": 550, "lr": 8e-05, "memory": 19921, "data_time": 0.00645, "decode.loss_ce": 0.20141, "decode.acc_seg": 91.68901, "loss": 0.20141, "time": 0.19167} +{"mode": "train", "epoch": 1, "iter": 600, "lr": 9e-05, "memory": 19921, "data_time": 0.00637, "decode.loss_ce": 0.21089, "decode.acc_seg": 91.25311, "loss": 0.21089, "time": 0.19247} +{"mode": "train", "epoch": 2, "iter": 650, "lr": 0.0001, "memory": 19921, "data_time": 0.05436, "decode.loss_ce": 0.2044, "decode.acc_seg": 91.72314, "loss": 0.2044, "time": 0.243} +{"mode": "train", "epoch": 2, "iter": 700, "lr": 0.0001, "memory": 19921, "data_time": 0.00634, "decode.loss_ce": 0.21295, "decode.acc_seg": 91.20087, "loss": 0.21295, "time": 0.18973} +{"mode": "train", "epoch": 2, "iter": 750, "lr": 0.00011, "memory": 19921, "data_time": 0.00672, "decode.loss_ce": 0.212, "decode.acc_seg": 91.43819, "loss": 0.212, "time": 0.19794} +{"mode": "train", "epoch": 2, "iter": 800, "lr": 0.00012, "memory": 19921, 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+{"mode": "train", "epoch": 254, "iter": 159900, "lr": 0.0, "memory": 52540, "data_time": 0.00651, "decode.loss_ce": 0.1837, "decode.acc_seg": 92.44115, "loss": 0.1837, "time": 0.1956} +{"mode": "train", "epoch": 254, "iter": 159950, "lr": 0.0, "memory": 52540, "data_time": 0.00659, "decode.loss_ce": 0.17436, "decode.acc_seg": 92.99169, "loss": 0.17436, "time": 0.19246} +{"mode": "train", "epoch": 254, "iter": 160000, "lr": 0.0, "memory": 52540, "data_time": 0.00623, "decode.loss_ce": 0.17926, "decode.acc_seg": 92.62774, "loss": 0.17926, "time": 0.22146} +{"mode": "val", "epoch": 254, "iter": 250, "lr": 0.0, "mIoU": [0.4869, 0.4874, 0.4881, 0.4885, 0.4889, 0.4892, 0.4894, 0.4896, 0.4898, 0.4898, 0.4897], "copy_paste": "48.69,48.74,48.81,48.85,48.89,48.92,48.94,48.96,48.98,48.98,48.97"} diff --git a/ablation/ablation_segformer_mit_b2_segformer_head_unet_fc_small_multi_step_ade_single_stage/ablation_segformer_mit_b2_segformer_head_unet_fc_small_multi_step_ade_single_stage.py b/ablation/ablation_segformer_mit_b2_segformer_head_unet_fc_small_multi_step_ade_single_stage/ablation_segformer_mit_b2_segformer_head_unet_fc_small_multi_step_ade_single_stage.py new file mode 100644 index 0000000000000000000000000000000000000000..c8c5850b29dbb3f2b563320f6ad69d56ac16711e --- /dev/null +++ b/ablation/ablation_segformer_mit_b2_segformer_head_unet_fc_small_multi_step_ade_single_stage/ablation_segformer_mit_b2_segformer_head_unet_fc_small_multi_step_ade_single_stage.py @@ -0,0 +1,195 @@ +norm_cfg = dict(type='SyncBN', requires_grad=True) +checkpoint = 'work_dirs2/segformer_mit_b2_segformer_head_unet_fc_single_step_ade_pretrained_freeze_embed_80k_ade20k151/best_mIoU_iter_64000.pth' +model = dict( + type='EncoderDecoderDiffusion', + freeze_parameters=['backbone', 'decode_head'], + pretrained= + 'work_dirs2/segformer_mit_b2_segformer_head_unet_fc_single_step_ade_pretrained_freeze_embed_80k_ade20k151/best_mIoU_iter_64000.pth', + backbone=dict( + type='MixVisionTransformerCustomInitWeights', + in_channels=3, + embed_dims=64, + num_stages=4, + num_layers=[3, 4, 6, 3], + num_heads=[1, 2, 5, 8], + patch_sizes=[7, 3, 3, 3], + sr_ratios=[8, 4, 2, 1], + out_indices=(0, 1, 2, 3), + mlp_ratio=4, + qkv_bias=True, + drop_rate=0.0, + attn_drop_rate=0.0, + drop_path_rate=0.1), + decode_head=dict( + type='SegformerHeadUnetFCHeadMultiStep', + pretrained= + 'work_dirs2/segformer_mit_b2_segformer_head_unet_fc_single_step_ade_pretrained_freeze_embed_80k_ade20k151/best_mIoU_iter_64000.pth', + dim=128, + out_dim=256, + unet_channels=272, + dim_mults=[1, 1, 1], + cat_embedding_dim=16, + diffusion_timesteps=100, + collect_timesteps=[0, 10, 20, 30, 40, 50, 60, 70, 80, 90, 99], + in_channels=[64, 128, 320, 512], + in_index=[0, 1, 2, 3], + channels=256, + dropout_ratio=0.1, + num_classes=151, + norm_cfg=dict(type='SyncBN', requires_grad=True), + align_corners=False, + ignore_index=0, + loss_decode=dict( + type='CrossEntropyLoss', use_sigmoid=False, loss_weight=1.0)), + train_cfg=dict(), + test_cfg=dict(mode='whole')) +dataset_type = 'ADE20K151Dataset' +data_root = 'data/ade/ADEChallengeData2016' +img_norm_cfg = dict( + mean=[123.675, 116.28, 103.53], std=[58.395, 57.12, 57.375], to_rgb=True) +crop_size = (512, 512) +train_pipeline = [ + dict(type='LoadImageFromFile'), + dict(type='LoadAnnotations', reduce_zero_label=False), + dict(type='Resize', img_scale=(2048, 512), ratio_range=(0.5, 2.0)), + dict(type='RandomCrop', crop_size=(512, 512), cat_max_ratio=0.75), + dict(type='RandomFlip', prob=0.5), + dict(type='PhotoMetricDistortion'), + dict( + type='Normalize', + mean=[123.675, 116.28, 103.53], + std=[58.395, 57.12, 57.375], + to_rgb=True), + dict(type='Pad', size=(512, 512), pad_val=0, seg_pad_val=0), + dict(type='DefaultFormatBundle'), + dict(type='Collect', keys=['img', 'gt_semantic_seg']) +] +test_pipeline = [ + dict(type='LoadImageFromFile'), + dict( + type='MultiScaleFlipAug', + img_scale=(2048, 512), + flip=False, + transforms=[ + dict(type='Resize', keep_ratio=True), + dict(type='RandomFlip'), + dict( + type='Normalize', + mean=[123.675, 116.28, 103.53], + std=[58.395, 57.12, 57.375], + to_rgb=True), + dict(type='Pad', size_divisor=16, pad_val=0, seg_pad_val=0), + dict(type='ImageToTensor', keys=['img']), + dict(type='Collect', keys=['img']) + ]) +] +data = dict( + samples_per_gpu=4, + workers_per_gpu=4, + train=dict( + type='ADE20K151Dataset', + data_root='data/ade/ADEChallengeData2016', + img_dir='images/training', + ann_dir='annotations/training', + pipeline=[ + dict(type='LoadImageFromFile'), + dict(type='LoadAnnotations', reduce_zero_label=False), + dict(type='Resize', img_scale=(2048, 512), ratio_range=(0.5, 2.0)), + dict(type='RandomCrop', crop_size=(512, 512), cat_max_ratio=0.75), + dict(type='RandomFlip', prob=0.5), + dict(type='PhotoMetricDistortion'), + dict( + type='Normalize', + mean=[123.675, 116.28, 103.53], + std=[58.395, 57.12, 57.375], + to_rgb=True), + dict(type='Pad', size=(512, 512), pad_val=0, seg_pad_val=0), + dict(type='DefaultFormatBundle'), + dict(type='Collect', keys=['img', 'gt_semantic_seg']) + ]), + val=dict( + type='ADE20K151Dataset', + data_root='data/ade/ADEChallengeData2016', + img_dir='images/validation', + ann_dir='annotations/validation', + pipeline=[ + dict(type='LoadImageFromFile'), + dict( + type='MultiScaleFlipAug', + img_scale=(2048, 512), + flip=False, + transforms=[ + dict(type='Resize', keep_ratio=True), + dict(type='RandomFlip'), + dict( + type='Normalize', + mean=[123.675, 116.28, 103.53], + std=[58.395, 57.12, 57.375], + to_rgb=True), + dict( + type='Pad', size_divisor=16, pad_val=0, seg_pad_val=0), + dict(type='ImageToTensor', keys=['img']), + dict(type='Collect', keys=['img']) + ]) + ]), + test=dict( + type='ADE20K151Dataset', + data_root='data/ade/ADEChallengeData2016', + img_dir='images/validation', + ann_dir='annotations/validation', + pipeline=[ + dict(type='LoadImageFromFile'), + dict( + type='MultiScaleFlipAug', + img_scale=(2048, 512), + flip=False, + transforms=[ + dict(type='Resize', keep_ratio=True), + dict(type='RandomFlip'), + dict( + type='Normalize', + mean=[123.675, 116.28, 103.53], + std=[58.395, 57.12, 57.375], + to_rgb=True), + dict( + type='Pad', size_divisor=16, pad_val=0, seg_pad_val=0), + dict(type='ImageToTensor', keys=['img']), + dict(type='Collect', keys=['img']) + ]) + ])) +log_config = dict( + interval=50, hooks=[dict(type='TextLoggerHook', by_epoch=False)]) +dist_params = dict(backend='nccl') +log_level = 'INFO' +load_from = None +resume_from = None +workflow = [('train', 1)] +cudnn_benchmark = True +optimizer = dict( + type='AdamW', lr=0.00015, betas=[0.9, 0.96], weight_decay=0.045) +optimizer_config = dict() +lr_config = dict( + policy='step', + warmup='linear', + warmup_iters=1000, + warmup_ratio=1e-06, + step=20000, + gamma=0.5, + min_lr=1e-06, + by_epoch=False) +runner = dict(type='IterBasedRunner', max_iters=160000) +checkpoint_config = dict(by_epoch=False, interval=16000, max_keep_ckpts=1) +evaluation = dict( + interval=16000, metric='mIoU', pre_eval=True, save_best='mIoU') +custom_hooks = [ + dict( + type='ConstantMomentumEMAHook', + momentum=0.01, + interval=25, + eval_interval=16000, + auto_resume=True, + priority=49) +] +work_dir = './work_dirs2/ablation_segformer_mit_b2_segformer_head_unet_fc_small_multi_step_ade_single_stage' +gpu_ids = range(0, 8) +auto_resume = True diff --git a/ablation/ablation_segformer_mit_b2_segformer_head_unet_fc_small_multi_step_ade_single_stage/best_mIoU_iter_144000.pth b/ablation/ablation_segformer_mit_b2_segformer_head_unet_fc_small_multi_step_ade_single_stage/best_mIoU_iter_144000.pth new file mode 100644 index 0000000000000000000000000000000000000000..8cefa8d5a79548a1ab062c3784fbc52d95db8188 --- /dev/null +++ b/ablation/ablation_segformer_mit_b2_segformer_head_unet_fc_small_multi_step_ade_single_stage/best_mIoU_iter_144000.pth @@ -0,0 +1,3 @@ +version https://git-lfs.github.com/spec/v1 +oid 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